Saravanan666/pypi-org huggingface dataset:
Package: wechaty-puppet-itchat
wechaty-puppet-itchatPython Puppet for WechatyQuick StartInstallationpipinstallwechaty-puppet-itchatUsageimportasynciofromwechaty_puppet_itchatimportPuppetItChatfromwechaty_puppetimportPuppetOptionsfromwechatyimportWechaty,WechatyOptionsasyncdefmain():options=WechatyOptions(puppet=PuppetItChat(PuppetOptions()))bot=Wechaty(options)awaitbot.start()asyncio.run(main())Historyv0.0.6 (Oct 03, 2022)enable itchat great again by @fangjiyuanitchat examplev0.0.4 (October 12, 2021)Fix BugsMove src/itchat to src/wechaty_puppet_itchat/itchatAdd examplesv0.0.3 (September 27, 2021)Fix Bugsv0.0.2 (September 18, 2021)Fix BugsAdd Receive Messagev0.0.1 (September 10, 2021)Add CI/CDAdd Scan/LoginAdd Send Messagev0.0.0 (July 1, 2021)Init CodeAuthors@Lyle- Lyle Shaw (肖良玉)@wj-Mcat- Jingjing WU (吴京京)Copyright & LicenseCode & Docs © 2020-now Huan LI <zixia@zixia.net>Code released under the Apache-2.0 LicenseDocs released under Creative Commons
Package: wechaty-puppet-service
wechaty-puppet-servicePython Service Puppet for WechatyFeaturesConsume Wechaty Puppet ServiceUsageimportasynciofromwechatyimportWechatyfromwechaty_puppet_serviceimportPuppetServicebot=Wechaty(PuppetService("your-token-here"))bot.on('message',lambdax:print(x))asyncio.run(bot.start())Environment Variables1WECHATY_PUPPET_SERVICE_TOKENThe token set to this environment variable will become the default value ofpuppetOptions.tokenWECHATY_PUPPET_SERVICE_TOKEN=secretpythonbot.pyor you can useTOKENortokenenvironment variable alias name to settoken, for example:TOKEN=secretpythonbot.py# ortoken=secretpythonbot.pyHistorymasterv0.7 (Mar, 2021)Rename fromwechaty-puppet-hostie->wechaty-puppet-servicev0.0.1 (Mar 10, 2020)Init Python versionPublished to PyPIAuthors@wj-Mcat- Jingjing WU (吴京京)@huan- (李卓桓)zixia@zixia.netCopyright & LicenseCode & Docs © 2020-now Huan LI <zixia@zixia.net>Code released under the Apache-2.0 LicenseDocs released under Creative Commons
Package: wechinelearn
Welcome to wechinelearn Documentationwechinelearnis a Weather data based machine learning R&D framework. Basically, if you want to use weather data to build a classification/prediction model, this framework could help.The first major problem in model R&D is handling big dataset.wechinelearncan use any relational database as back-end, and easy to extend for adding more data or data point. Using database can greatly reduce the average time cost for trying your idea.Your target object, could be a user, a region or anything associated with local weather by location. One major problemwechinelearnsolved is finding best weather data for your target, and also takesmissing data points,unreliable data points,multiple data source choiceinto account.Quick LinksGitHub HomepageOnline DocumentationPyPI downloadInstallIssue submit and feature requestAPI reference and source codeInstallwechinelearnis released on PyPI, so all you need is:$pipinstallwechinelearnTo upgrade to latest version:$pipinstall--upgradewechinelearnIf you have problem with installingnumpyin Windows, download the compiled wheel filehere, and install it with pip.
Package: wecmdbsrv-cfomp
# 运管平台企业微信主机CMDB查询回调服务
运管平台`主机CMDB查询`应用，用户在应用中输入检索的文本，企业微信回调此服务，返回给用户包含查询主机列表的外部超链接。用户点击链接，验证身份通过之后便可得到检索的结果。## 使用说明
运行时依赖以下环境变量
| Environment variable | Description | Default |
| — | — | — |
| SECRET_KEY | Flask native config| None |
| WEWORK_TOKEN | 企业微信应用的TOKEN | None |
| WEWORK_ENCODING_AES_KEY | 企业微信应用的AES密钥 | None |
| WEWORK_CORPID | 企业微信的企业ID| None |
| WEWORK_AGENTID | 企业微信内应用的ID | None |
| WEWORK_SECRET | 企业微信内应用的Secret| None |
| ES_HOSTS | Elasticsearch host list| localhost |
| ES_SIZE | Elasticsearch search size limit | 20 |
| ES_TIMEOUT | Elasticsearch search timeouts | None |
| EXTERNAL_URL | Flask native config|https://cfomp.shchinafortune.com/wecmdbsrv|
| URL_PREFIX | Flask native config| /wecmdbsrv |## 注意事项
1. 可以把运行时依赖的环境变量配置到文件中，如`/etc/wecmdbsrv/setting.cfg`, 然后设置`PROJECT_SETTING`环境变量指向这个文件，PROJECT_SETTING=/etc/wecmdbsrv/setting.cfg1. 运行时需要向https://open.weixin.qq.com/connect/oauth2/authorize 获取OAuth2 token，然后验证用户身份。请依据主机网络是否设置`https_proxy`环境变量
Package: wecoded
WeCodedWeCoded is a Python tool for counting contributed lines by authors on multiple git repositories.InstallationWeCoded requires Python 3.6 (or higher) and can be installed using the pip/pip3 toolpip3installwecodedUsageWeCoded is run as a command line program with arguments.
It performs the cloning of the repositories then it computes and agregates the lines count statistics as a CSV file.PrerequisitesWeCoded needs the following external tools:thegitcommand linethegit-extrasextensionCurrently, WeCoded has only be tested on Linux systemConfiguration fileWeCoded requires a configuration file defininggit repositories to clone and exploreauthors aliases (optional)Each repository is defined by a name with an associated URL and an optional revision to checkout.
The revision can be a branch name, a tag or even a commit SHA1.
If no revision is provided, the default repository branch is checked out.Aliases for authors can be defined to avoid separate counting of the same author
who has commited under various forms of his name (e.g. 'John Doe', 'jdoe', 'J. Doe').repositories:-name:a-reposurl:https://organization.org/gitrepos/areposrevision:v3.2.0-name:another-reposurl:https://organization.org/gitrepos/anotherrepos-name:extrareposurl:https://company.com/git/extrarevision:developauthors:-name:'JohnDoe'aliases:-'J.Doe'-'jdoe'-name:'ErikaMustermann'aliases:-'emustermann'Examples of real configuration files are provided in theexamplesdirectory.Command lineTo execute the WeCoded tool in a given work directory, run the following command:wecoded/path/to/work/dirin this case, WeCoded will try to use awecoded-config.yamlfile in the current directory.To specify a configuration file path, use the-f/--config-fileoptionwecoded/path/to/work/dir-f/path/to/wecoded-myconfig.yamlThe complete help on command line arguments can be obtained in a terminal using thewecoded --helpcommand:usage: wecoded [-h] [-f CONFIG_FILE] [-c] [-s] workpath

A tool for contributions stats by authors on multiple git repositories

positional arguments:
  workpath              the work path

optional arguments:
  -h, --help            show this help message and exit
  -f CONFIG_FILE, --config-file CONFIG_FILE
                        the path to the YAML configuration file (default: /path/to/wecoded-config.yaml)
  -c, --no-clone        disable the cloning of remote repositories
  -s, --no-stats        disable the computation of statsAuthor and LicenseThe WeCoded package is developped byJean-Christophe Fabre.it is distributed under the terms of theMIT license
Package: wecom-bot-svr
企业微信机器人回调服务1. 介绍本项目是一个基于Flask的企业微信机器人回调功能的接口服务简单框架。使用者只需要实现两个简单的函数，即可快速搭建一个企业微信机器人回调功能的接口服务。实现过程参考企业微信机器人回调功能说明文档，以及相关文档中指引使用的加解密脚本。2. 使用这里提供一个demo.py，只要安装好依赖，修改好配置，即可直接进行部署服务。2.1 本地调试需要安装依赖，然后拉起 demo.py 即可(这里暂时使用固定的 token 和 AESKey，后续在实际配置时可以替换掉)：pip3installwecom-bot-svr
python3demo.py拉起服务后，可以使用 curl 进行测试(下边的测试链接对应demo中原始的 token 和 AESKey)：curl'http://127.0.0.1:5001/wecom_bot?msg_signature=09380007d4f0891d966988e5450ad794c77fa01c&timestamp=1703041184&nonce=1703023880&echostr=oCdlC8pJ%2FDIjXnC8F9reyjDYlSImCmIgxA4prPD%2Bl2Fj5qBHjFiWnpelQofsDCJrSEvNVTET6oQmoXLQxzUkyQ%3D%3D'2.2 Docker方式部署如果你计划单独的去部署这个机器人回调服务，可以直接使用我这里提供的Docker方式。cddemo
dockerbuild-twx_botdocker.io/panzhongxian/wecom-bot-svr-demo:latest.
dockerpushdocker.io/panzhongxian/wecom-bot-svr-demo:latest然后在对应的平台中选择镜像部署，配置好对应的域名，即可获得在后续步骤中需要的回调地址。如果你需要跟别的服务部署在一起，或者直接在CVM的机器上启动，在运行之前，记得安装wecom-bot-svr即可2.3 配置企业微信群机器人找一个群，在右上角点击「...」，点击「添加群机器人」，点击「接收消息配置」， 这里对应 demo 我们填入回调地址、token、AESKey。如果服务正常，这里将会保存成功；如果服务异常，这里会提示失败。2.4 测试在添加到群中之后，可以在群中发送消息。demo里有实现 help 和普通消息的回复功能:也可以移除再添加，这里展示的是加入群的事件触发消息发送的功能:2.5 发布到公司查看机器人资料，有一个发布到公司的按钮，只有发布之后的机器人，才能被公司其他同事搜索到，才可以被添加到其他的群聊当中：3. Token和AESKey的管理为了方便，demo中直接使用固定的 Token 和 AESKey，实际使用中，建议直接利用机器人配置页面的随机生成按钮获得。删除代码中传入的 token 和 key，直接将其以配置的方式传入到服务中即可(
三个环境变量WX_BOT_TOKEN,WX_BOT_AES_KEY,WX_BOT_CORP_ID):server=app.WecomBotServer(bot_name,host,port,path='/wecom_bot')4. demo.py 代码解析只要你看懂了 demo.py 里边做了什么工作，就可以修改他，实现自己机器人的回复逻辑了。msg_handler: 消息处理函数，简单的实现了 help 和普通消息的回复功能event_handler: 事件处理函数，简单的实现了加入群聊的事件触发消息发送的功能WecomBotServer: 企业微信机器人回调服务的接口服务，实现了加解密的功能，运行后能拉起 HTTP 服务通过set_message_handler和set_event_handler将消息处理函数和事件处理函数注册到服务中消息格式说明msg_handler(req_msg) -> rsp_msg：消息处理函数将接收一个请求消息对象，返回一个响应消息对象。所有机器人接收到的消息和事件，罗列在 req_msg.py 中，会作为 msg_handler 的输入，已经提取到具体的格式，用户可以根据自己的需求使用。机器人发送消息只有两种形式，一种是 Text，另外一种是 Markdown，定义在 rsp_msg.py 文件当中。两种消息都只需要填写 content 内容即可。5. TODO单独启一个端口，接收主动发送消息的触发，然后让机器人在对应的群聊里发送消息
Package: wecom-worktool
封装功能发送文本发送图片/文件/音频/视频/其他使用示例importworktoolwithworktool.Worktool("your_robot_id")asbot:bot.send_file(["群1","好友1"],"文件名.jpg","https://your_image_url.jpg",bot.FileType.IMAGE)bot.send_text(["好友1"],"Hello world!")bot.send_text(["群1"],"Hello world!",["@所有人"])
Package: weconnect
WeConnect-pythonPython API for the Volkswagen WeConnect Services. If you are not a developer and ended up here you probably want to check out a project using this library (see below).Projects in which the library is usedVWsFriend: VWsFriend records statistics about your car (charging sessions, battery, trips, fueling, etc.) and displays them nicely. It also allows you to forward data from the car to other applications such asA better routeplannerand allows you to integrate your car intoApple HomeKitWeConnect-cli: A commandline interface to interact with WeConnectWeConnect-MQTT: A MQTT Client that provides WeConnect data to the MQTT Broker of your choice (e.g. your home automation solution such asioBroker,FHEMorHome Assistant)WARNINGUse this API with care. If you use it wrong (e.g. too many logins, repeated login attempts with wrong password, ...) your account may get blocked.Installpip3 install weconnect[Images]The minimum required python version is 3.8Getting startedTo get started have a look in theexamples folderTested withVolkswagen ID.3 Modelyear 2021Volkswagen Passat GTE Modelyear 2021Login & ConsentWeConnect-python is based on the new WeConnect API that was introduced with the new series of ID cars. If you use another car or hybrid you probably need to agree to the terms and conditions of the new WeConnect interface. Easiest to do so is by installing the Volkswagen app on your smartphone and login there. If necessary you will be asked to agree to the terms and conditions.Reporting IssuesPlease feel free to open an issue atGitHub Issue pageto report problems you found.Known IssuesThe API is in alpha state and may change unexpectedly at any time! Please conscider this and pin to a specific version if you depend on it.Examples and API documentation is missingCreditsInspired byTA2k/ioBroker.vw-connectthat gave me a point to start working with the APISeat, Cupra, Skoda IV, ...In an effort to try to make WeConnect-python also to work with latest generation of vehicles from other volkswagen brands I'm looking for users to temporarily share access to their accounts. If you are willing to support please send me a message.Already tried: Cupra Born (The API looks a bit different, maybe it is older, I will check again in some weeks), thanks to the user initdebugs
Package: weconnect-cupra
WeConnect-pythonPython API for the Volkswagen WeConnect and Cupra MyCupra Services. If you are not a developer and ended up here you probably want to check out a project using this library (see below).Projects in which the library is usedVWsFriend: VWsFriend records statistics about your car (charging sessions, battery, trips, fueling, etc.) and displays them nicely. It also allows you to forward data from the car to other applications such asA better routeplannerand allows you to integrate your car intoApple HomeKitWeConnect-cli: A commandline interface to interact with WeConnectWeConnect-MQTT: A MQTT Client that provides WeConnect data to the MQTT Broker of your choice (e.g. your home automation solution such asioBroker,FHEMorHome Assistant)Installpip3 install weconnect[Images]Packagepython3 -m pip install --upgrade build
python3 -m build --sdist
python3 -m build --wheelDistributepython3 -m pip install --upgrade twine
python3 -m twine upload --repository pypi dist/*Getting startedTo get started have a look in theexamples folderTested withVolkswagen ID.3 Modelyear 2021Volkswagen Passat GTE Modelyear 2021Cupra Born Modelyear 2022Login & ConsentWeConnect-python is based on the new WeConnect ID API that was introduced with the new series of ID cars. If you use another car or hybrid you probably need to agree to the terms and conditions of the WeConnect ID interface. Easiest to do so is by installing the WeConnect ID app on your smartphone and login there. If necessary you will be asked to agree to the terms and conditions.Reporting IssuesPlease feel free to open an issue atGitHub Issue pageto report problems you found.Known IssuesThe API is in alpha state and may change unexpectedly at any time! Please conscider this and pin to a specific version if you depend on it.Examples and API documentation is missingCreditsInspired byTA2k/ioBroker.vw-connectthat gave me a point to start working with the APISeat, Cupra, Skoda IV, ...In an effort to try to make WeConnect-python also to work with latest generation of vehicles from other volkswagen brands I'm looking for users to temporarily share access to their accounts. If you are willing to support please send me a message.Already tried: Cupra Born (The API looks a bit different, maybe it is older, I will check again in some weeks), thanks to the user initdebugs
Package: weconnect-cupra-daern
WeConnect-Cupra-pythonPython API for the MyCupra Services. If you are not a developer and ended up here you probably want to check out a project using this library (see below).Projects in which the library is usedVWsFriend: VWsFriend records statistics about your car (charging sessions, battery, trips, fueling, etc.) and displays them nicely. It also allows you to forward data from the car to other applications such asA better routeplannerand allows you to integrate your car intoApple HomeKitWeConnect-cli: A commandline interface to interact with WeConnectWeConnect-MQTT: A MQTT Client that provides WeConnect data to the MQTT Broker of your choice (e.g. your home automation solution such asioBroker,FHEMorHome Assistant)Installpip3 install weconnect-cupra-daern[Images]Packagepython3 -m pip install --upgrade build
python3 -m build --sdist
python3 -m build --wheelDistributepython3 -m pip install --upgrade twine
python3 -m twine upload --repository pypi dist/*Getting startedTo get started have a look in theexamples folderTested withCupra Born Model year 2022/23Login & ConsentWeConnect-python is based on the new WeConnect ID API that was introduced with the new series of ID cars. If you use another car or hybrid you probably need to agree to the terms and conditions of the WeConnect ID interface. Easiest to do so is by installing the WeConnect ID app on your smartphone and login there. If necessary you will be asked to agree to the terms and conditions.Reporting IssuesPlease feel free to open an issue atGitHub Issue pageto report problems you found.Known IssuesThe API is in alpha state and may change unexpectedly at any time! Please conscider this and pin to a specific version if you depend on it.Examples and API documentation is missingCreditsLargely based on WeConnect-python for VW fromhttps://github.com/tillsteinbach/WeConnect-python, with the initial Cupra port developed by Alan Gibson
Inspired byTA2k/ioBroker.vw-connectthat gave me a point to start working with the API
Package: weconnect-cupra-one-edition
WeConnect-pythonPython API for the Volkswagen WeConnect and Cupra MyCupra Services. If you are not a developer and ended up here you probably want to check out a project using this library (see below).Projects in which the library is usedVWsFriend: VWsFriend records statistics about your car (charging sessions, battery, trips, fueling, etc.) and displays them nicely. It also allows you to forward data from the car to other applications such asA better routeplannerand allows you to integrate your car intoApple HomeKitWeConnect-cli: A commandline interface to interact with WeConnectWeConnect-MQTT: A MQTT Client that provides WeConnect data to the MQTT Broker of your choice (e.g. your home automation solution such asioBroker,FHEMorHome Assistant)Installpip3 install weconnect[Images]Packagepython3 -m pip install --upgrade build
python3 -m build --sdist
python3 -m build --wheelDistributepython3 -m pip install --upgrade twine
python3 -m twine upload --repository pypi dist/*Getting startedTo get started have a look in theexamples folderTested withVolkswagen ID.3 Modelyear 2021Volkswagen Passat GTE Modelyear 2021Cupra Born Modelyear 2022Login & ConsentWeConnect-python is based on the new WeConnect ID API that was introduced with the new series of ID cars. If you use another car or hybrid you probably need to agree to the terms and conditions of the WeConnect ID interface. Easiest to do so is by installing the WeConnect ID app on your smartphone and login there. If necessary you will be asked to agree to the terms and conditions.Reporting IssuesPlease feel free to open an issue atGitHub Issue pageto report problems you found.Known IssuesThe API is in alpha state and may change unexpectedly at any time! Please conscider this and pin to a specific version if you depend on it.Examples and API documentation is missingCreditsInspired byTA2k/ioBroker.vw-connectthat gave me a point to start working with the APISeat, Cupra, Skoda IV, ...In an effort to try to make WeConnect-python also to work with latest generation of vehicles from other volkswagen brands I'm looking for users to temporarily share access to their accounts. If you are willing to support please send me a message.Already tried: Cupra Born (The API looks a bit different, maybe it is older, I will check again in some weeks), thanks to the user initdebugs
Package: wecopttool
WecOptToolThe Wave Energy Converter Design Optimization Toolbox (WecOptTool) allows users to perform wave energy converter (WEC) device design optimization studies with constrained optimal control.NOTE:If you are looking for the WecOptTool code used in previous published work (MATLAB version) please seeWecOptTool-MATLAB.Project InformationRefer toWecOptTool documentationfor more information, including project overview, tutorials, theory, and API documentation.Getting startedWecOptTool requires Python >= 3.8. Python 3.9 & 3.10 are supported.
It is strongly recommended you create a dedicated virtual environment (e.g., usingconda,venv, etc.) before installingwecopttool.Option 1- usingConda:condainstall-cconda-forgewecopttoolOption 2- usingpip(requires Fortran compilers on your system):pipinstallwecopttoolThis approach is not recommended for Windows users since compilingcapytaineon Windows requiresextra steps.Geometry module and tutorialsTo use our geometry examples, including for running the tutorials, you will need to install some additional dependencies.
For the tutorials you will also need to installjupyter.pipinstallwecopttool[geometry]jupyteror on a Mac (Zshshell)pipinstallwecopttool\[geometry]jupyterTutorialsThe tutorials can be found in theexamplesdirectory and are written asJupyter Notebooks.
To run the tutorials, first download the notebook files and then, from the directory containing the notebooks, runjupyter notebook.
Usinggitto obtain the notebooks this can be done by runninggitclonehttps://github.com/sandialabs/WecOptTool.gitcdWecOptTool/examples
jupyternotebookGetting helpTo report bugs, use WecOptTool'sissues page.
For general discussion, use WecOptTool'sdiscussion pageContributingIf you are interested in contributing to WecOptTool, see ourcontribution guidelines.
Package: wecover
wecover微信公众号图文封面快速制作工具。安装pipinstallwecover如果使用国内镜像(如清华的)，未及时同步，请切换官方镜像：pipinstall--index-urlhttps://pypi.org/simplewecover如果已经安装，可更新到最新版：pipinstall--upgradewecover使用命令行格式wecover<title>[logo_path|logo_url]wecover--title|-t<title>[--logo|-l<logo_path|logo_url>]基本使用wecover微信图文封面制作工具
wecover微信图文封面制作工具logo.png
wecover微信图文封面制作工具"http://cdn.kenblog.top/weixin.jpeg"wecover--logologo.png--title"wecover 微信图文封面制作工具"wecover-llogo.png-t"wecover 微信图文封面制作工具"改变颜色改变字体颜色wecover<title>[logo_path|logo_url]--color|-c<color>

wecover<title><logo_path|logo_url><color>改变背景色wecover<title>[logo_path|logo_url]--bgcolor|-b<color>

wecover<title><logo_path|logo_url><color><bgcolor>示例：生成黑底白字wecover微信图文封面制作工具"http://cdn.kenblog.top/weixin.jpeg"whiteblack# 或使用十六进制颜色值，颜色引号不能省略wecover微信图文封面制作工具"http://cdn.kenblog.top/weixin.jpeg""#ffffff""#000000"# 支持颜色缩写wecover微信图文封面制作工具"http://cdn.kenblog.top/weixin.jpeg""#fff""#000"LicenseMITCopyright (c) 2019 kenblikylee
Package: wecs
What is WECS?WECSstands for World, Entities, Components, Systems. It implements
the architecture pattern known as [ECS, EC, Component system (and
probably by several other names as well)]
(https://en.wikipedia.org/wiki/Entity_component_system), which is
popular in game development.WECS aims at putting usability first, and to not let performance
optimizations compromise it.Beyond the core which implements the ECS, the goal of WECS is to
accumulate enough game mechanics and boilerplate code so that the time
between imagining a game and getting to the point where you actually
work on your specific game mechanics is down to a few minutes.In particular, systems and components to work with thePanda3D engineare provided.Installation, etc.Installation:pip install wecsDocumentation:readthedocs.ioSource code:GitHub repositoryChat:Panda3D Offtopic Discord server,
channel#wecsHello Worldfromwecs.coreimport*world=World()A world containsEntities; AlsoSystems, more about those later.entity = world.create_entity()Entitiesthemselves containComponents; They are also nothing more
than a container for components. They are a general form of
"game object", and can be turned into more specific objects by addingComponentsto them.Componentsare data structures with no inherent functionality (i.e.
they have no functions). Their presence on an entity describes the state
of an aspect of that entity. For example, a certain game object could be
the player's car, having aGeometrycomponent with its graphical
model, aCarcomponent describing things like motor power and fuel in
the tank, aPhysicsBodykeeping track of the car's representation in
the physics simulation, and many more. Or it could be something as
simple as "An entity with this component can count", or "It can print
its count (if it has one)":@Component()
class Counter:
    count: int = 0

@Component()
class Printer:
    name: str = "Bob"

entity.add_component(Counter())
entity.add_component(Printer())During eachworld.update(), theWorldwill go through its list ofSystems, and run each in turn. EachSystemhas a list ofFilterswhich test whetherSystemshould process an entity, and in what kind
of role.class CountAndPrint(System):
    entity_filters = {
        'count': Counter,
        'print': and_filter(Counter, Printer),
    }

    def update(self, entities_by_filter):
    for entity in entities_by_filter['count']:
        entity[Counter].count += 1
    for entity in entities_by_filter['print']:
        msg = "{} has counted to {}.".format(
	    entity[Printer].name,
	    entity[Counter].count,
	)
	print(msg)

world.add_system(CountAndPrint(), 0)The0inworld.add_system(CountAndPrint(), 0)is thesortof the
system. Systems are run in ascending order of sort. As an aside, it'd be
a good idea to break this into two systems; Who knows what else other
people want to happen between counting and printing?Now we can step time forward in this little universe:world.update()
Bob has counted to 1.This concludes the Hello World example.
Package: wedet
# wedet#### 介绍
检测器模块、测试、评估工具集#### 软件架构
软件架构说明#### 安装教程xxxxxxxxxxxx#### 使用说明xxxxxxxxxxxx#### 参与贡献Fork 本仓库新建 Feat_xxx 分支提交代码新建 Pull Request#### 特技使用 Readme_XXX.md 来支持不同的语言，例如 Readme_en.md, Readme_zh.mdGitee 官方博客 [blog.gitee.com](https://blog.gitee.com)你可以 [https://gitee.com/explore](https://gitee.com/explore) 这个地址来了解 Gitee 上的优秀开源项目[GVP](https://gitee.com/gvp) 全称是 Gitee 最有价值开源项目，是综合评定出的优秀开源项目Gitee 官方提供的使用手册 [https://gitee.com/help](https://gitee.com/help)Gitee 封面人物是一档用来展示 Gitee 会员风采的栏目 [https://gitee.com/gitee-stars/](https://gitee.com/gitee-stars/)