Saravanan666/pypi-org huggingface dataset:
Package: weihnachtsgurke
This is Weihnacktsgurke, a search tool for the PYCCLE-TCP corpus.  The
corpus and this program have been developed byAaron Ecayunder the auspices of theCentre for
Linguistic History and Diversityat the
University of York’sDepartment of Language and Linguistic Science.It is named for the pseudo-GermanChristmas pickle hunt.Links:User’s manualPYCCLE-TCP corpus page (currently non-existent)
Package: weii
WeiiWeii (pronounced "weigh") is a small script that connects to a Wii Balance Board, reads a weight measurement, and disconnects.
Weii is the new, redesigned spiritual successor togr8w8upd8m8.InstallationTo install usingpipx(recommended) orpip, run:pipx install weiiorpip install weiiUsageWeii currently is only tested on Linux.
Before you use Weii, you need to pair your balance board via Bluetooth.
You can do that by pressing the red button in the battery compartment and then going through the normal Bluetooth pairing process.
I don't remember the pairing code, try 0000 or 1234, and please let me know which one is right.To weigh yourself, runweiiand follow the instructions.
You need to have paired your balance board beforehand, then press the button at the front of the board until the blue LED lights up solid, and step on.
Once the measurement is done, you can step off.Weii can optionally usebluetoothctlto disconnect (and turn off) the balance board when the weighing is done, you can do that by passing the device's address to the-dargument:weii --disconnect-when-done 11:22:33:44:55:66You can run a command after weighing, like so:weii --command "echo {weight}"{weight}will be replaced with the measured weight.You can also adjust the measurement to account for clothing, or to match some other scale:weii --adjust=-2.3
Package: weii3hai-gendiff
Hexlet tests and linter status:Comparison of deep nested files formatter mode - stylish (JSON and YML) - asciinemahttps://asciinema.org/a/I4SYMHBrQ6HbzhbMwZSCw82EdComparison of deep nested files formatter mode - plain (JSON and YML) - asciinemahttps://asciinema.org/a/KFm70M6D6LrZq4V2tWBmMwTiMFlat JSON file comparison - asciinemahttps://asciinema.org/a/KXMf4zAZtkXZcyGCEXKNfbTA4Flat YML file comparison - asciinemahttps://asciinema.org/a/BnpoQyXUH3P0Tw3UsiiDXQYMe
Package: weilaizz
📦 setup.py (for humans)This repo exists to providean example setup.pyfile, that can be used
to bootstrap your next Python project. It includes some advanced
patterns and best practices forsetup.py, as well as some
commented–out nice–to–haves.For example, thissetup.pyprovides a$ python setup.py uploadcommand, which creates auniversal wheel(andsdist) and uploads
your package toPyPiusingTwine, without the need for an annoyingsetup.cfgfile. It also creates/uploads a new git tag, automatically.In short,setup.pyfiles can be daunting to approach, when first
starting out — even Guido has been heard saying, "everyone cargo cults
thems". It's true — so, I want this repo to be the best place to
copy–paste from :)Check out the example!Installationcdyour_project# Download the setup.py file:#  download with wgetwgethttps://raw.githubusercontent.com/navdeep-G/setup.py/master/setup.py-Osetup.py#  download with curlcurl-Ohttps://raw.githubusercontent.com/navdeep-G/setup.py/master/setup.pyTo DoTests via$ setup.py test(if it's concise).Pull requests are encouraged!More ResourcesWhat is setup.py?on Stack OverflowOfficial Python Packaging User GuideThe Hitchhiker's Guide to PackagingCookiecutter template for a Python packageLicenseThis is free and unencumbered software released into the public domain.Anyone is free to copy, modify, publish, use, compile, sell, or
distribute this software, either in source code form or as a compiled
binary, for any purpose, commercial or non-commercial, and by any means.
Package: weilanzou-api
- 蓝奏云API -简介本库基于zaxtyson开源的LanZouCloud-API进行二开，除了修复一些正则表达式的bug以外，还加上了一些自己认为比较方便的functions。主要封装了蓝奏的基本功能：Cookie登录、注销、获取文件(夹)列表、下载文件、上传文件、删除文件(夹)、
移动文件、清空回收站、恢复文件(夹)、创建文件夹、设置文件(夹)访问密码、设置文件(夹)描述解决了蓝奏云的上传格式限制和单文件大小限制，同时增加了以下功能: 批量上传/下载文件、
上传/下载时断点续传、清理"幽灵"文件夹、移动文件夹、获取下载直链如果有任何问题或建议, 欢迎提 issue, 维护不易，求一个 star (*/ω＼*)免责声明本项目仅供个人学习使用，严禁用于商业用途本项目没有任何担保，如果您使用这些代码，您必需承担其带来的风险API 文档dev分支用于修复错误，待稳定后再推到master分支master分支将自动发布到 PyPI，使用pip install lanzou-api即可安装API 文档请查看wiki页面更新日志v0.0.1修复说明主要修复通过分享链接获取文件夹的信息的api无法解析文件的bug除了修复bug之外，还加上了fake_useragent UA库，以保证每次请求lanzouAPI是不同的UA在get_folder_info_by_url(share_url, dir_pwd='', mark_time=0, is_phone_ua=False)这个api，增加了两个参数！其中一个参数mark_time表示是否获取该分享链接今天更新的文件信息；而is_phone_ua表示是否使用手机UA（因为有些蓝奏链接要该手机UA才能打开，当然也可以改蓝奏域名，比如lanzouw -> lanzoui）修复和修改这个蓝奏库主要的原因还是自己业务上的需求，当然这个蓝奏库的原理也是爬虫，然后通过正则表达式匹配（我可能会替换成xpath匹配）其他功能和原作者【zaxtyson】所开发的功能一样，但是开发者一些弃用的api还没有删除，我将打算在下个版本删除弃用的api作者开发者：Acloudtwei公众号：软件阿威官网：阿威导航站
Package: weio
weio is a library to read and write files, in particular files used by the Wind Energy community.
This library is for instance used by the GUI toolpyDatViewto plot, export and compare these different files.##Typical file formats supported:Various CSV and delimited filesSimple Excel filesFAST input and output files (including some turbulence files)HAWC2 and HawcStab2 input and output files (still some missing)Bladed output filesFLEX output filesNetCDF files (partial support for 1D and 2D data for now)##Quickstart:
Download, install dependencies, install package and run tests:gitclonehttps://github.com/ebranlard/weiocdweio
python-mpipinstall--user-rrequirements.txtpython-mpipinstall-e.# installpython-munittestdiscover-v# run test
Package: weipyweb
weipyweb0.0.2的介绍weipyweb是基于开源项目pywebio二开后的一个开源版本，主要修改了pywebio原来的一些CSS样式和网站ico以及增加了部分JS，目前由于个人时间以及能力的限制，还没有对大部分功能进行修改的增加，只能将初始版本开源。原因：为什么要二开而不是用原来的pywebio呢？主要原因还是因为原来的pywebio的ico图片不好看，还有有一些样式增加比较麻烦，所以自己就去看了下源码，然后就去修改了~说明：这里说明一下，原来的pywebio的文档并没有告知怎么修改网站的title以及增加一些样式的方法，在我看过源码之后，有一个函数是可以初始化当前页面的参数，比如标题、描述、主题、引用js、css等等，接下来我会告诉大家这个页面初始化的函数的使用！文档参考原来的pywebio的文档https://pywebio.readthedocs.io
Package: weir
Weir is a Python API for ZFS.The API is loosely based on libzfs, but is intended to be more Pythonic
rather than reproducing the C API exactly.  Key differences include:ZFS datasets are represented as objects.send()andreceive()return open files.Weir is implemented on top of the command-linezfsandzpoolcommands for portability and so as to facilitate support for remote
operation without requiring installation on the remote host.Remote datasets can be specified with urls of the formzfs://user@host/path@snapname.InstallationRequires Python 2.6, 2.7 or 3.4+.To install Weir, simply:$ pip install weirUsageeg to find a filesystem’s most recent snapshot:>>> from weir import zfs
>>> zfs.open('zfs://backup.local/wanaka/test').snapshots()[-1].name
'zfs://backup.local/wanaka/test@auto-2015-04-08T145240'LicenseLicensed under the Common Development and Distribution License (CDDL).
Package: weirdbase
python-weirdbase - Convert weird and arbitrary number bases to and from integersWant to convert an integer to a string representation of weird number base like base36? We have you covered.>>> import weirdbase
>>> weirdbase.int2base(12345, base=36)
'9IX'
>>> weirdbase.base2int('9IX', 36)
12345By default, it's case-sensitive, so you can also do:>>> weirdbase.base2int('helloThere', 62)
590996557455853334
>>> weirdbase.int2base(590996557455853334, 62)
'helloThere'And you can convert from one weird base to another; say from base 62 to hex:>>> weirdbase.base2base('helloThere', 62, 16)
'833A43CDEA28716'And you can even make up your own set of digits to get weirder:>>> weirdbase.int2base(420, base=10, chars=')!@#$%^&*(')
'$@)'
>>> weirdbase.base2int('$@)', base=10, chars=')!@#$%^&*(')
420Installingpipinstallgit+https://github.com/darrenpmeyer/python-weirdbase.git
Package: weird-converter
Weird converter🔀 Strange combinations converter like from Audio to Image and Image to AudioInstallationInstall client via pip. Ideally,weird-converteris well supported for Python >= 3.7.pip3installweird-converterUsageJust run it like this:weird_converter.audio_to_image('audio.wav')# It only supports wav files, for now.weird_converter.image_to_audio('image.jpg')Future development🎶 Support other input audio types.📹 Implement audio to video conversion (and the same other way around).⭐️ Implement custom transformations for getting different results.MotivationI know this tool is kind of strange and probably not very useful. However, I wanted to play with numpy and try to understand in a deeper way the amount of stuff that this library can do. That's why I ended up doing this project where I see a lot of progression with different future tweakments (as it is specified above).ResultsAudio to imageImage generation comes from a normalization of the audio values. The image will have higher dimensions as more information the audio has, like audio length or channels available.From thisfanfare audioto this image:Or from thisempty audio, representing a silence, to this image:Image to AudioAudio generation comes from a normalization to a 44,100 samples per second audio. The output length will be higher depending on the dimensions of the input image. As you could check, the results look very similar to an helicopter sound but it differs depending on the given image.To thisaudio, where it's clear when the audio is playing the black background and the building pixels.To this near emptyaudioand very uniform.DevelopmentRecommendationsUsage ofvirtualenvis recommended for package library / runtime isolation.InstallationSetup virtual environmentInstall dependenciespip3install-rrequirements.lockInstall locallypip3install.ContributingSuggestions, improvements, and enhancements are always welcome! If you have any issues, please do raise one in the Issues section. If you have an improvement, do file an issue to discuss the suggestion before creating a PR.All ideas – no matter how outrageous – welcome!AuthorsAlbert SuàrezLicenseApache-2.0 © weird-converter
Package: weirdict
This package offers a base implementation as well as several examples of
“normalized dicts”.A normalized dict is a python dictionary subclass whose keys are normalized
through a particular function prior to insertion/modification/deletion.ExamplesThe example classes provided include:A dict whose normalization function can be passed in the constructor (and
changed on-the-fly),A case-insensitive dict,a dict whose keys are truncated to a given length,a dict whose keys are computed modulo N, where N is a given int.
Package: weirdo
weirdoMetrics of immunological foreignness for candidate T-cell epitopes. An extension of thepepdatalibrary.Amino Acid PropertiesTheamino_acidmodule contains a variety of physical/chemical properties for both single amino residues and interactions between pairs of residues.Single residue feature tables are parsed intoStringTransformerobjects, which can be treated as dictionaries or will vectorize a string when you call their methodtransform_string.Examples of single residue features:hydropathyvolumepolaritypK_side_chainprct_exposed_residueshydrophilicityaccessible_surface_arearefractivitylocal_flexibilityaccessible_surface_area_foldedalpha_helix_score(Chou-Fasman)beta_sheet_score(Chou-Fasman)turn_score(Chou-Fasman)Pairwise interaction tables are parsed into nested dictionaries, so that the interaction between amino acidsxandycan be determined fromd[x][y].Pairwise interaction dictionaries:strand_vs_coil(and its transposecoil_vs_strand)helix_vs_strand(and its transposestrand_vs_helix)helix_vs_coil(and its transposecoil_vs_helix)blosum30blosum50blosum62There is also a function to parse the coefficients of thePMBEC similarity matrix, though this currently lives in the separatepmbecmodule.
Package: weirwood-pyfinance
Weirwood PyFinancePython API for downloading stock prices and fundamental accounting conceptsInstallationStable Release:weirwood-pyfinance> pip install weirwood-pyfinanceDevelopment Head:git+https://github.com/weirwoodai/weirwood_pyfinance.git> pip install git+https://github.com/weirwoodai/weirwood_pyfinance.gitQuick StartRegister your account athttps://weirwood.aifor freefromweirwood_pyfinanceimportFinTenfinten=FinTen()finten.set_login(username="<YOUR USERNAME>",password="<YOUR PASSWORD>")filings=finten.get_filings(ticker="AAPL")prices=finten.get_prices(ticker="AAPL")If you don't have an account you can still access using the free tierfromweirwood_pyfinanceimportFinTenfinten=FinTen()filings=finten.get_filings(ticker="AAPL")prices=finten.get_prices(ticker="AAPL")MIT license
Package: weixin-api
weixin-apiweixin api for miniprogram and minigame.pip install -U weixin-apiUsageimport weixin_api

weixin_api.auth: 登录
weixin_api.media: 素材
weixin_api.message: 客服消息
weixin_api.qrcode: 二维码
weixin_api.template: 模板消息
weixin_api.sns: sns相关pay:from weixin_api.midas import MidasPay

midas_pay = MidasPay(
    app_id='appid',
    offer_id='12345678',
    app_key='app_key',
    sandbox=False,
)

midas_pay.getbalance(access_token, session_key, open_id, **kwargs)
midas_pay.pay(access_token, session_key, open_id, bill_no, amount, **kwargs)
midas_pay.cancelpay(access_token, session_key, open_id, bill_no, **kwargs)
midas_pay.present(access_token, session_key, open_id, bill_no, **kwargs)
Package: weixin-open-api
weixin-open-api微信开放部分接口Python封装Github:https://github.com/mouday/weixin-open-api已实现：微信分享必要参数installpipinstallweixin-open-apiaccess_token默认使用了mo-cache的FileCache文件缓存demofromweixin_open_apiimportWeixinOpenClientclassCustomWeixinOpenClient(WeixinOpenClient):appid=''secret=''if__name__=='__main__':client=CustomWeixinOpenClient()data=client.get_share_params(url='https://www.baidu.cn/app')print(data)
Package: weixins
# 微信API Python sdk本项目是对微信官方提供的api的封装，方便各种功能的实现，另外提供了access_token的中控器。## 安装pip install weixin## 使用from weixin import Manager, WxApiPublicm = Manager(name="1", redis_addr=None, redis_port=6379, redis_password=None, redis_index=1,app_id="xxxxxxxxx", app_secret="xxxxxxx")api = WxApiPersonal(m)print api.get_weichat_ip()## Manager__init__|名称|类型|描述|起始版本|示例||---|---|---|---|---|---|| name | string |用于该manager的标识|0.1||| redis_addr |string|redis服务器地址|0.1||| redis_port |int|redis服务器端口|0.1|0|| redis_password | string |redis密码|0.1||| redis_index | int |redis数据库索引|0.1||| app_id | string |微信公众号的的appid|0.1||| app_secret | string |微信公众号的appsecret|0.1||## WxApiPersonal用于微信公众号个人公众号get_weichat_ip 获得微信服务器地址## WxApiPublic用于微信公众号订阅号 暂未测试
Package: weiyu
weiyuweiyuis a Web development framework for Python. Highly modular and
configurable,weiyustrives to empower developers with convenience
and productivity.NOTEweiyu isconsidered alpha quality, with its adoption basically
non-existent besides the author’s several projects.Do not use in production
for now!FeaturesConfiguration drivenYAML, JSON or Python pickles are supportedYAML is the default configuration format for readabilityNoSQL storageRiakRedisMongoDB (not actively tested)Flexible URL routingRoute with either regexes or exactstartswithmatchesConcise URL routing definition syntax, with Vim syntax coloring!
Check outexamples/helloandvim-support/for details.Support for scoped reverse URL resolution (documentation needed)Cache integrationFrontend technologiesSass by means ofpyScssThe framework provides integration with the following packages:Cachespython-memcachedredisDatabasepymongoredisriakServer interfacesWSGItornadogevent-socketioSession managementBeakerredisTemplating engineMakopyScssMiscellaneousultrajsonCPython 2.7 and PyPy are supported, with support for CPython 3.2 and above
considered experimental. Any help is appreciated.LicensesGPLv3+Public domain forexamples/The project contains code from other libraries; copyright notices are attached
to the respective source files.helpers/regex_helper.py: Taken fromDjango, BSD-licensed.helpers/metaprogramming.py: Contains code fromformencode, PSF-licensed.
Also contains user-contributed code from StackOverflow which is licensed
under cc-by-sa 3.0 according to StackOverflow policy.Installationweiyuis registered in PyPI, but for the moment directly installing from
the official repository is recommended as the development is constantly in
flux. Also you get the full set of examples this way.To install from the official repo:$ git clone https://github.com/xen0n/weiyu.git
$ cd weiyu/
(installing using distribute)
$ ./setup.py develop
(or manually setting up the link)
$ pwd > /path/to/your/site-packages/weiyu.pthTo install viapip:$ pip install weiyuBoth will not install most of the dependencies. While the deps can be
controlled individually using flags likeweiyu[mako,riak,redis],
requirements files have been provided to allow quick install of all
possible dependencies.:$ pip install -r requirements.txtNotePyPy users would have to use the other requirement file,requirements.pypy.txt, which basically has the optional C
accelerator modules stripped out.Known issuesgevent-socketiointegration is not directly usable on PyPy.
However, with the latest version of PyPy and somehacks, the
performance can become really awesome!The NoSQL DB mapper is somewhat lacking in capabilities, help appreciated.CommunityMailing listweiyu-cn at groups.google.com (Main language: Chinese)Why the name?The name comes fromLin Jiang Xian(trad: 臨江仙/simp: 临江仙) by Yan
Jidao, a poet of the Song dynasty. The referenced sentence is去年春恨卻來時，落花人獨立，微雨燕雙飛. Its pronunciation is like
“WE-you”, if not using the correct vowel for “yu”.ExamplesSome examples are provided in theexamples/directory. Check them out to
get a feeling of working withweiyu.
Package: wek
wekIs your windows machine too sleepy? Usewekto temporarily prevent it from fading away!Install wek:pip install wekPress WinKey+R, type wek and run. A popup window will show up, and as long as this window is not closed, your machine won't go to sleep.wekasks your system to stay awake by calling a windows API function. Wek's main function,wek(), consists of just three lines of code.
Package: weka
Weka - Python wrapper for Weka classifiersOverviewProvides a convenient wrapper for calling Weka classifiers from Python.InstallationFirst install the Weka and LibSVM Java libraries. On Debian/Ubuntu this is simply:sudo apt-get install weka libsvm-javaThen install the Python package with pip:sudo pip install wekaUsageTrain and test a Weka classifier by instantiating the Classifier class,
passing in the name of the classifier you want to use:from weka.classifiers import Classifier
c = Classifier(name='weka.classifiers.lazy.IBk', ckargs={'-K':1})
c.train('training.arff')
predictions = c.predict('query.arff')Alternatively, you can instantiate the classifier by calling its name directly:from weka.classifiers import IBk
c = IBk(K=1)
c.train('training.arff')
predictions = c.predict('query.arff')The instance contains Weka's serialized model, so the classifier can be easily
pickled and unpickled like any normal Python instance:c.save('myclassifier.pkl')
c = Classifier.load('myclassifier.pkl')
predictions = c.predict('query.arff')DevelopmentTests require the Python development headers to be installed, which you can install on Ubuntu with:sudo apt-get install python-dev python3-dev python3.4-devTo run unittests across multiple Python versions, install:sudo apt-get install python3.4-minimal python3.4-dev python3.5-minimal python3.5-devTo setup a local Python virtual environment for testing, run:./init_virtualenv.shTo run alltests:export TESTNAME=; toxTo run tests for a specific environment (e.g. Python 3.9):export TESTNAME=; tox -e py39To run a specific test:export TESTNAME=.test_IBk; tox -e py39
Package: weka-easypy
easypyeasypy makes python even easier!Many boiler-plate patterns are reduced to simple yet richly featured constructs:concurrency - running asynchronous code easily and manageablyresiliency - retrying or swallowing exceptionssynchronization - poll-and-wait for long-running process to completecollections - filter and choose objects using keywords and predicatesIn addition, there are humanization modules that help both code and logs more user-friendlyrepresting data-size and time unitsrandomizing stringscoloring and structured loggingtokens... And much more!Contributers please readCONTRIBUTING.md.
Package: wekalib
# wekalibA group of Python modules that implement some handy interfaces to Weka Clusters.class WekaCluster (wekacluster.py) - a high-level abstraction for a weka cluster.  WekaCluster.call_api() is the method for making API calls.  API calls are distributed across cluster backend hosts.  Error checking and retries automatically handled.class WekaApi (wekaapi.py) - Low-level API calls to a single cluster backend host.  WekaApi.weka_api_command() is the method for making API calls to a particular backend host.class simul_threads (sthreads.py) - manage threads (standard threading library threads).  Intended for short-duration threads that all run simultaneously.  Queue up many threads, set how many are to run simultaneously, then run all and wait for them.  If more threads are queued than the number it can run simultaneously, it will automatically start new threads as older ones finish.   simul_threads.run() method does not return until all threads are completed.   Useful for sending lots of API calls to the cluster in a batch.  Used by WekaCluster.class circular_list (circular.py) - implement a circular linked list.wekatime.py - a handful of functions that translate Weka ‘d’ timestamps to/from datetime objects and other formats.class signal_handling (signals.py) - set up signal handlers commonly used.
Package: wekan
Backend Framework - GeneratorWekan'sBackend Frameworkproject and model generatorsThe CLI tool helps you initialize and develop applications. It assists in scaffolding the project and generating new modules.The generated project is built on top of flask-restful, sqlalchemy and provides authentication, access control (RBAC) endpoints out of the box. Generated modules have built-in endpoints for basic CRUD operations.Prerequisitespython3-venv- Required to automatically setup venv and install required packagesmysql, postgres client libs- If mysql and postgres client libs are not installed, setup auto install will failGetting startedInstall the generator withpip install wekanand thenwekanto get startedKeep the model names singular, the generator converts the name to its plural form where requried.Make sure the user script directory is added to the path if you cannot run it after the install