Saravanan666/pypi-org huggingface dataset:
Package: nitpicker
Nitpicker is a CLI tool for black-box testing written in PythonMotivationThe project has been started to fix some problems that
many developers and testers, who practice black-box testing, might be familiar to:1. Black-box testing are not under version control with the code. Why not?
As developers, we would like to do some review of test cases like code
review. As a manger I would be calm knowing that all the test plans and cases
are stored with the code on Git repository and are always available.2. Black-box testing stays apart from the develop cycle. I can ban a merge
request if it breaks my unit or integration tests because I see
it at once by using CI tools. I believe it is possible for manual
tests too. I want my CI tool to check if a tester do all
the needed tests.3. A testing tool should be interactive. When you see a whole test
case with all the steps it is hard not to jump between them trying
to do test as fast as possible. When a tester is in a dialogue with
a tool and goes step-by-step, they can test more carefully. Especially,
if the tool keep time tracking automatically.How does it work?All your test cases and run reports are stored in YAML
format with the code which they test.project
|-src/
|-docs/
|-qa/
  |-feature_1/
  |-feature_2/
    |-plan_1/
      |-test_case1.yml
      |-test_case2.yml
      |-test_case3.yml
      |-runs/
         |-20180820_232000_run.report
         |-20180820_232010_run.reportNitpicker provides command to create a test case in the given test plan:python -m nitpicker add test_case -p feature_1.plan_1Then you should write the case by using your favourite text editor.
It is a not bad idea to commit and push it, so your teammate can
review the case before you run the plan which the case belongs to.Now you can run the test plan:python -m nitpicker run feature_1.plan_1The program runs all the cases in the interactive mode leading the
tester step by step. The results of the run will be written in
directoryrunsin YAML format.After all the test cases have been run you can push the reports into the git
repo, so your CI server can check if all the test runs are passedpython -m nitpicker check --all-runs-passedThe project uses itself for testing. You can findqadirectory in the repo.
Also you can run some plans for demonstration.FeaturesCLI interface to create, run, validate and check user testsRun tests in an interactive modeStoring user tests and run reports as files in YAML formatIntegration with version control systems (currently onlygit)Installationpip install nitpickerorpython -m pip install nitpickerCurrently Nitpicker supports Python 3.3 and newer.If you are a Windows user and you would like to use Nitpicker as a command (runnitpickerinstead
ofpython -m nitpicker) you should add Script directory of your Python to PATH variable.UsageIn order to start:python -m nitpicker --helpDocumentationSee the last documentationhere.
Package: nitrado
Nitrado SDKA Python based SDK for theNitrado RESTful APIpublished atPyPI.InstallationIn your terminal install the nitrado package with pip.pipinstallnitradoOverviewTo have access to this application you must have an account created atNitradoand create an API key.Wiki - Full documentationTable of contents1.Generate API KeyShows how to get access to your API key.2.Getting StartedShows how to log in to the client and use the basic code interface3.GlobalsBasic requests from Nitrado for health and maintenance checks.4.ServicesData provided outside of the game server. Like server status, user id, and auto extension plan.5.GameServerData directly related to the game server. This includes the player list, game settings, etc.6.GamesCustom game specific libraries.ExamplesGlobalsThe basic maintanance tools from Nitrado API.fromnitradoimportGlobalversion=Global.version()print(version)'nitrapi-1201-wh2h4'ServicesThis example highlights how to get the service.fromnitradoimportServiceservices=Service.all()print(services)[<Service(id=1011111,status='active',type_human='Publicserver 10 slots',suspend_date='2023-05-07T01:21:11')>,<Service(id=1022222,status='active',type_human='Publicserver 20 slots',suspend_date='2023-07-07T02:11:01')>,<Service(id=1033333,status='active',type_human='Publicserver 30 slots',suspend_date='2023-09-07T06:51:41')>]GameServerThis example highlights how to get the gameserver.fromnitradoimportGameServergameservers=GameServer.all()print(gameservers)[<GameServer(service_id=11111111,location='US',slots=10,ip='1.2.3.4',game_human='ARK: Survival Evolved (Xbox One)')>,<GameServer(service_id=22222222,location='US',slots=70,ip='11.22.33.44',game_human='ARK: Survival Evolved (Xbox One)')>]
Package: nitransforms
NiTransformsA development repo fornipy/nibabel#656AboutSpatial transforms formalize mappings between coordinates of objects in biomedical images.
Transforms typically are the outcome of image registration methodologies, which estimate
the alignment between two images.
Image registration is a prominent task present in nearly all standard image processing
and analysis pipelines.
The proliferation of software implementations of image registration methodologies has
resulted in a spread of data structures and file formats used to preserve and communicate
transforms.
This segregation of formats precludes the compatibility between tools and endangers the
reproducibility of results.
We propose a software tool capable of converting between formats and resampling images
to apply transforms generated by the most popular neuroimaging packages and libraries
(AFNI, FSL, FreeSurfer, ITK, and SPM).
The proposed software is subject to continuous integration tests to check the
compatibility with each supported tool after every change to the code base.
Compatibility between software tools and imaging formats is a necessary bridge
to ensure the reproducibility of results and enable the optimization and evaluation
of current image processing and analysis workflows.Integration withNiBabelNiTransformsstarted as a feature-repo spun off ofNiBabel.
Shortly after starting withnipy/nibabel#656, it became apparent that it was going to build up in a humongous PR nobody would be able to review as thoroughly as it would require.
Also,NiTransformshas many connections to BIDS/BIDS-Derivatives and its X5 format specification for transforms, which falls outside of the current scope ofNiBabel.The plan is to make it an isolated tool, and once it is pertinent, proceed with the integration intoNiBabel.
Once this repository is ready for integration, we will define what can go intoNiBabel(presumably everything, except perhaps some final details of the X5 implementation, althoughNiBabelwill support the data structure at least logically).
This is to say that the chances that NiTransforms is integrated into NiBabel are high and scheduled to happen in ~2022 Q2.
Package: nitric
Buildnitricapplications with PythonThe Python SDK supports the use of theNitricframework with Python 3.10+. For more information check out the mainNitric repo.Python SDKs provide an infrastructure-from-code style that lets you define resources in code. You can also write the functions that support the logic behind APIs, subscribers and schedules.You can request the type of access you need to resources such as publishing for topics, without dealing directly with IAM or policy documents.StatusThe SDK is in early stage development and APIs and interfaces are still subject to breaking changes. We’d love your feedback as we build additional functionality!Get in touchAsk questions inGitHub discussionsJoin us onDiscordFind us onTwitterSend us anemailGetting StartedUsing theNitric CLInitric is included in all python related projects by defaultnitricnewFollow the prompts and selectofficial/Python - Starteras your templateAdding to an existing projectpip# Install the Nitric SDKpip3installnitricpipenvpipenv install nitricUsageNitric Documentation
Package: nitrogfx-py
nitrogfx-pynitrogfx-py is a Python library for handling Nintendo DS graphics formats. It can deserialize and serialize the formats and do some basic conversions with them.Currently it supports:NCGR/NCBR tilesetsNSCR tilemapsNCLR palettesNCER sprite dataNANR animation dataThe formats aren't perfectly implemented so this most likely won't work with every file from every game out there.Install from pippip install nitrogfx-pyInstall from source (for development)git clone https://gitlab.com/Fexean/ntrgfx-py
pip install --upgrade pip
pip install -e ntrgfx-pyDocumentationThe code is documented with docstrings.You can view them online at:https://fexean.gitlab.io/ntrgfx-pyDependenciesThe project requires Pillow 7.0.0. You also need to have a C compiler installed on your system to be able to compile the project's C extensions.It also has an optional dependency on orjson. If installed, the json conversion functions will run much faster.
Package: nitrokeyapp
Nitrokey App 2This application allows to manage Nitrokey 3 devices. To manage Nitrokey Pro and Nitrokey Storage devices, use the olderNitrokey App.FeaturesThe following features are currently implemented.Firmware updatePasswordsTOTPHOTPDownloadExecutable binaries for Linux and Windows as well as a MSI installer for Windows can be downloaded from thereleases.Compiling for Linux and macOSThis project usesPoetryas its dependency management and packaging system.
See thedocumentationofPoetryfor available commands.The application can be compiled by executing:git clone https://github.com/Nitrokey/nitrokey-app2.git
cd nitrokey-app2
make init
make build
poetry shell
nitrokeyappDependenciespynitrokeyPython >3.9AuthorNitrokey GmbH, Jan Suhr andcontributors.
Package: nitro-promo-gen
NITRO Promo Gen 'V3NITRO Promo Gen V3, Discord Nitro promo kodları oluşturmak için bir araçtır.KurulumProjeyi çalıştırmak için bilgisayarınızda Python'un yüklü olması gerekmektedir.Proje dosyalarını bu depodan klonlayın veya ZIP olarak indirin.Terminal veya komut istemcisinde proje dizinine gidin.Gereksinimleri yüklemek içinpip install -r requirements.txtkomutunu çalıştırın.Uygulamayı başlatmak içinpython main.pykomutunu çalıştırın.KullanımKullanıcı bir sayı girmek suretiyle üretilecek promo kodlarının miktarını belirtmelidir.Üret butonuna basarak belirtilen sayıda promo kodu oluşturulur ve output alanına yazdırılır.Üretilen promo kodları otomatik olarakpromo.txtdosyasına kaydedilir.Copy butonu kullanılarak en son üretilen promo kodu panoya kopyalanabilir.ÖzelliklerBasit arayüz.Otomatik promo kodu oluşturma.Oluşturulan kodların dosyaya kaydedilmesi.Panoya kopyalama özelliği.Katkıda BulunmaBu repo'yu fork edin.Yeni bir özellik için bir dal (branch) oluşturun:git checkout -b yeni-özellikDeğişikliklerinizi yapın ve bunları (commit) gönderin:git commit -am 'Yeni özellik eklendi'Dalınızı ana dalınızın üstüne (upstream) gönderin:git push origin yeni-özellikBir Birleştirme İsteği (Pull Request) oluşturun.LisansBu proje MIT lisansı altında lisanslanmıştır. Daha fazla bilgi içinLICENSEdosyasına göz atın.NITRO Promo Gen V3NITRO Promo Gen V3, Discord Nitro promo kodları oluşturmak için basit bir araçtır.KurulumProjeyi çalıştırmak için Python'un yüklü olması gerekmektedir.Proje dosyalarını bu depodan klonlayın veya ZIP olarak indirin.Terminal veya komut istemcisinde proje dizinine gidin.Gereksinimleri yüklemek içinpip install -r requirements.txtkomutunu çalıştırın.Uygulamayı başlatmak içinpython main.pykomutunu çalıştırın.KullanımKullanıcı bir sayı girmek suretiyle üretilecek promo kodlarının miktarını belirtmelidir.Üret butonuna basarak belirtilen sayıda promo kodu oluşturulur ve output alanına yazdırılır.Üretilen promo kodları otomatik olarakpromo.txtdosyasına kaydedilir.Copy butonu kullanılarak en son üretilen promo kodu panoya kopyalanabilir.ÖzelliklerBasit arayüz.Otomatik promo kodu oluşturma.Oluşturulan kodların dosyaya kaydedilmesi.Panoya kopyalama özelliği.Katkıda BulunmaBu repo'yu fork edin.Yeni bir özellik için bir dal (branch) oluşturun:git checkout -b yeni-özellikDeğişikliklerinizi yapın ve bunları (commit) gönderin:git commit -am 'Yeni özellik eklendi'Dalınızı ana dalınızın üstüne (upstream) gönderin:git push origin yeni-özellikBir Birleştirme İsteği (Pull Request) oluşturun.LisansBu proje MIT lisansı altında lisanslanmıştır. Daha fazla bilgi içinLICENSEdosyasına göz atın.
Package: nitsm
nitsm-pythonWrite code modules with the TestStand Semiconductor Module in python.Note to End UsersThis project is intended for use in automated device validation. Our primary focus is to provide a pythonic approach to
automated testing with TestStand and TSM. More emphasis has been placed on simplicity and usability than execution time.Python Version Supportnitsm supports python versions 3.6, 3.7, and 3.8. Newer versions of python might work, but it is not guaranteed. Python
2.7 is not supported.Installationpip install nitsmnitsm requiresNI TestStand20.0 or higher andNI TestStand Semiconductor Module20.0 or higher.To use nitsm in conjunction withnimi-python, you must also install the appropriate
NI instrument driver for each device you plan to use:NI-DCPower 20.6+NI-DMMNI-SCOPENI-DigitalNI-SWITCHNI-DAQmxNI-FGENVisit thenimi-pythonproject for information on which python packages to install
alongside each instrument driver.UsageDefine code modules with thecode_moduledecorator in thenitsm.codemoduleapimodule. When called from TestStand,
the decorator will convert thepywin32COM object into annitsm.codemoduleapi.SemiconductorModuleContextobject.importnidcpowerimportnitsm.codemoduleapi@nitsm.codemoduleapi.code_moduledefsource_current(tsm_context,pins,current_level):pin_query_context,sessions,channel_strings=tsm_context.pins_to_nidcpower_sessions(pins)forsession,channel_stringinzip(sessions,channel_strings):session.channels[channel_string].output_function=nidcpower.OutputFunction.DC_CURRENTsession.channels[channel_string].current_level=current_levelsession.channels[channel_string].initiate()Known LimitationsInstrument alarms are currently not supportedThe Set Relays TestStand step is not supported when creating relay sessions in pythonSeeSTATUS.mdfor additional information about the current
state of the API and system tests
Package: nitter
NitterSimpleTwitterscraper usingNitterFor now, It's used only to scrap media (images)How To InstallYou can use the following command to install it.pip install nitterGetting StartedfromnitterimportNittern=Nitter()fromnitterimportNitternitter=Nitter()username="X"formediainnitter.get_media(username):print("Caption:",media.caption)print("Pub Date:",media.pub_date)print("Images:","\n".join(img.srcforimginmedia.images),"\n")LicenceMIT
Package: nitter-scraper
Nitter ScraperNitter Scraper is for anyone who enjoys thetwitter-scraperlibrary. Nitter Scraper leverages running a local docker container instance ofnitterto scrape a users tweets and profile information without the twitter api ratelimit. This api works similar to thetwitter-scraperproject with a few differences.Docker EngineFor the best experience use this library withDocker Engineproperly installed. The NitterScraper manager will start, stop and remove a docker instance ofnitter. If you can't run docker you can import the get_tweets and get_profile functions to scrape fromnitter.net.Getting StartedPrereqsDocker EnginePython ^3.7Installpipinstallnitter-scraperHow to Scrape a twitter users profile information.frompprintimportpprintfromnitter_scraperimportNitterScraperwithNitterScraper(host="0.0.0.0",port=8008)asnitter:profile=nitter.get_profile("dgnsrekt")print("serialize to json\n")print(profile.json(indent=4))print("serialize to a dictionary\n")pprint(profile.dict())Output$python3examples/basic_usage.py2020-09-2118:11:23.429|INFO|nitter_scraper.nitter:_get_client:31-Dockerconnectionsuccessful.2020-09-2118:11:25.102|INFO|nitter_scraper.nitter:start:135-Runningcontainerinfallible_noyce91122c9b7b.serializetojson{"username":"DGNSREKT","name":"DGNSREKT","profile_photo":"/pic/profile_images%2F1307990704384245760%2FSBVd3XT6.png","tweets_count":2897,"following_count":904,"followers_count":117,"likes_count":4992,"is_verified":false,"banner_photo":"/pic/profile_banners%2F2474416796%2F1600684261%2F1500x500","biography":"BITCOIN IS DEAD AGAIN. :(","user_id":2474416796,"location":"Moon","website":"https://github.com/dgnsrekt"}serializetoadictionary{'banner_photo':'/pic/profile_banners%2F2474416796%2F1600684261%2F1500x500','biography':'BITCOIN IS DEAD AGAIN. :(','followers_count':117,'following_count':904,'is_verified':False,'likes_count':4992,'location':'Moon','name':'DGNSREKT','profile_photo':'/pic/profile_images%2F1307990704384245760%2FSBVd3XT6.png','tweets_count':2897,'user_id':2474416796,'username':'DGNSREKT','website':'https://github.com/dgnsrekt'}2020-09-2118:11:25.905|INFO|nitter_scraper.nitter:stop:139-Stoppingcontainerinfallible_noyce91122c9b7b.2020-09-2118:11:31.284|INFO|nitter_scraper.nitter:stop:142-Containerinfallible_noyce91122c9b7bDestroyed.Next step run theexamplesNitterScraper LimitationAbout max 800 tweets per user.Unable to scrape trends from nitter.To scrape the user_id the user must have a banner photo. If the banner photo url isn't present
the user_id will be none.The user_id cannot be scraped from the tweets.birthday and is_private are not implemented in the profile.Contact InformationTelegram = Twitter = Tradingview = Discord = @dgnsrektEmail =dgnsrekt@pm.me
Package: niu-download
NiuDownloadThis is a tool that can automatically download models from Hugging Face(Windows or Linux).You can download single model or make batch download. The project is powered by NEU(China) NLPLAB master students: Peinan Feng, Junhao Ruan and Peizhuo Liu. Any issue is welcomed.Only pytorch version models are supported nowUse in python scriptSingle Downloadfrom sao_download import download as sd
sd.batch_download_models('models', 'gpt2')In this way, the whole gpt2 model in pytorch version will be stored in "models" directory.Batch Downloadfrom sao_download import download as sd
sd.batch_download_models('models', ['roberta-base', 'gpt2', 'bert-base-uncased'])
#or 
sd.batch_download_models('models', 'roberta-base, gpt2, bert-base-uncased')In this way, roberta-base、 gpt2、 bert-base-uncased will be stored in "models" directory.Use in command lineniudownload -m bert-base-uncased,gpt2 -d /mnt/lpz/download/"-m" means the model(s) from Huggingface you want to download
"-d" means the output dirct you want to store the model(s)
Package: niui
IntroductionThis repository provides the source code forniuipython package, which is user interface for Nordic Intertial
Measurement Units. It can be used as a local web server, which provides the user interface via browser. Data is
stored in the user's home directory.InstallingTo install, you needpythonsetup and when functional, runpip3installniuiGetting StartedTo get started, you need a support package provided by the seller of theNimuproduct. Assuming that you have extracted
it to the directorynimu-package-123you can open the support package by giving it to niui with--project-dirparameter.You need to also install the drivers for you CAN adapter. Niui usespython-canas backend so all adapters supported by it, are also supported byniui. Seepython-can documentationfor further info.As an example, use the Vector Informatik interface with channel 1. The example here is a multichannel Vector unit and and the channel indexing start from zero.python3-mniui--project-dirpath/to/nimu-package-123--interfacevector--channel1As an example, use PEAK-Systems PCAN-USB adapter.python3-mniui--project-dirpath/to/nimu-package-123--interfacepcan--channelPCAN_USBBUS1DevelopingFor the development setup, you can install project from local source code. Then in the data
directorypython-mniui--debugandcdniui/ui
yarndevReleasesv1.0.0 - Tested to work with PCAN and Vector adapters. Some bugfixes.v0.9.0 - Support config data parsing in Python. Fine tune work dir strcture.v0.8.0 - Device lookup. Uploading and writing firmware to the device.v0.7.0 - Device mock and improved tables with version difference display.v0.6.0 - PEP8 and typings.v0.5.0 - Basic workflow from the beginning to the end and item view grouping.v0.4.0 - Packing and releasing in public.v0.3.0 - Saving and loading config projects.v0.2.0 - Configuration editor for groups and typical items.v0.1.0 - Basic setup.
Package: nium
A Python library for Nium’s APIsUsing the SDKInstructions can be found at:https://github.com/nium-global/nium-python/blob/main/README.mdSetting up a Nium AccountSign up for a Nium account athttps://app.nium.com/sign-upUsing the Nium APIsDocumentation for Nium APIs can be found at:https://docs.nium.com/apis
Package: niutils
niutilsThis is a quick collection of little (f)MRI utils functions collected together because I found myself using them quite often, packaged in pip to be easy to adopt.
I have no idea nor strict plan to where this project should/could/would go.
If you find yourself using this project (why?) let me know - so I can decide how to properly make it citable.The project is currently (and in perpetuum) under development.
Any suggestion/bug report is welcome! Feel free to open an issue.LicenseCopyright 2021, Stefano Moia.Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License athttp://www.apache.org/licenses/LICENSE-2.0Unless required by applicable law or agreed to in writing, software
distributed under the License is distributed on an "AS IS" BASIS,
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
See the License for the specific language governing permissions and
limitations under the License.
Package: niv
Welcome to Network Infrastructure Visualization (NIV)NIV is a console application to visualize network infrastructure using YAML files.Our presantation pageNetwork diagrams are commonly drawn manually, using tools like Visio or Draw.io. This makes maintaining an up-to-date representation of dynamic network environments challenging.
Currently, no modern tools appear to exist which can generate network drawings from code such as YAML. Such a machine readable format would allow administrators to  automate the visualization of a topology and to track document changes using version control.Key goalsHigh quality visualization wanted (for dashboards, presentations, scientific papers)Use YAML for infrastructure descriptionOffline generation of SVG diagramsHyperlink to detailed view (e.g. zoom into port utilization)The documentation is split between theWikiandthis repository:Rather stable documentation parts tend to be saved in theWiki, which is also a git repository.Rather short time documentation parts tend to be savedhere in this repositoryin a semester oriented branch.Contents of this page[[TOC]]License MITFor details seeLICENSE.mdin the repository.LegalYou can find the legal notes in German language atImpressum und DatenschutzerklÃ¤rung.