Saravanan666/pypi-org huggingface dataset:
Package: capcha
CAPCHA Library (Python)A Python library designed to implement CAPCHA (Completely Automated Public Turing test to tell Computers and Humans Apart) functionality in web applications. This library is lightweight, flexible, and aims to provide a reliable solution for preventing automated bot attacks on your web forms.FeaturesEasy Integration: Seamlessly integrate CAPTCHA challenges into your web forms with minimal effort.Customization: Customize the appearance and complexity of CAPTCHAs to suit your application's needs.Security: Generate secure and random challenges to effectively thwart automated bots.Accessibility: Prioritize user accessibility by incorporating accessibility features into the CAPTCHA design.Compatibility: Compatible with various Python web development frameworks.InstallationInstall the library using pip:pipinstallcapcha## Usage ExamplefromcapchaimportCapcha
fromflaskimportFlask,render_template,requestapp=Flask(__name__)captcha=Capcha()@app.route('/')defindex():# Генерация CAPTCHA при загрузке страницыcaptcha_image=captcha.generate()returnrender_template('index.html',captcha_image=captcha_image)@app.route('/submit',methods=['POST'])defsubmit():user_entered_captcha=request.form.get('captcha')expected_captcha=# получите ожидаемое значение из вашего хранилища данныхis_valid_captcha=captcha.validate(user_entered_captcha,expected_captcha)ifis_valid_captcha:# Продолжить с отправкой формыpasselse:# Вывести сообщение об ошибке пользователюpass
Package: cap-client
Aboutcap-clientis a command-line client that researchers could use to talk to CAP server in order to preserve and manage their analyses.CAP-client is a Python client library for theCERN Analysis Preservation (CAP)API.It is a command-line tool that facilitates preservation of physics data analyses, by allowing analysts to capture and store their analysis resources. The CAP-client is a free and open source project developed atCERN.Installation$ pip installcap-clientUsageThe detailed information on how to install and usecap-clientcan be found inhere.Useful linksCERN Analysis Preservation DocsCERN Analysis Preservation APIVideo tutorialIf you need help or have a question about the CAP-Client, please contact us via ouremail.ChangesVersion 1.0.0 (2018-10-31)Beta release of CAP ClientVersion 0.0.1 (2018-03-01)Initial public release.
Package: capco-cli
Capco Command Line Interface (Capco-Cli)Capco-cli is a tool used to generates the file structures with relevant code snippets based on the selected templates.Installing capoc-cliInstall python using homebrew or by visiting (https://www.python.org/downloads/)pip install capco-cliTo view the list of all the available templates in the bitbucket repository(this may required you to login using your bitbucket profile), run the following:capco templates listTo view all the list of configurable optionscapco templates inspectTo build the capco-template application, run the following:capco projects create --template  --target_dir PATH.To add configurable options i.e.capco projects create --template  --option database=NAME –target_dir PATH
You can view list of all the configurable options by runningcapco templates inspectFor more help run:capco --helpFolder structure for the templatescommon: This folder only consists of the files which are similar across all the templates.
Folder Structurecommonfiles – Files that are common across all the different templates i.e. .gitignore, docker-compose.ymlfiles.yml – Source and destination path for the common files.info.yml – Any configurable options are added here.template-namefiles – Required files and folders for the templatefile.yml – Source and target destination for the files.info.yml – All the configurable options for the templates i.e. database, message broker.More detail about files.yml and info.yml can be found inhttps://bitbucket.org/ilabs-capco/capco-cli/src/master/docs/
Package: capcruncher-tools
CapCruncherToolsOverviewA collection of Rust tools to speed up the python based functionality of the CapCruncher project. Python binding have been generated to allow for easy integration into the existing python code base.Current ToolsFASTQ deduplication - fastq-deduplicate:This tool takes paired FASTQ files and removes any duplicate fragments.Basic Usage:capcruncher-toolsfastq-deduplicate-1<input1.fastq>-2<input2.fastq>-o<output_prefix>Restriction digestion of FASTA - digest-genome:This tool takes a FASTA file and a list of restriction enzymes and produces a list of fragments in BED format.Basic Usage:capcruncher-toolsdigest-genome-i<input.fasta>-o<output.bed>-r<recognitionsite>-p<numberofthreads>Count restriction fragments - count:This tool counts the number of interactions between a fragment (in silico digested read).Basic Usage:capcruncher-toolscount<reporters>-f<fragments.bed>-v<viewpoints_path.bed>-o<output.hdf5>-p<numberofthreads>
Package: cape-client
Capeis an API fromBloomsbury AIthat makes it easy to build software that answers questions about the contents of documents. For example, you can use cape to:Build a super-powered ctrl+f that finds the answer to questions like ‘Who is the CFO?’, rather than just all the occurrences of a keyword.Build an expressive query tool for textual data - extract features with a single question.Build a virtual office assistant that answers routine questions through Slack.Build an add-on to your private search that mimics Google’s ‘direct answers’.Read the full documentation athttp://cape-client.readthedocs.io/
Package: caped-ai-mtrack
caped-ai-mtrackRansac based methods for function fits on segmentation of kymographs of actin and microtubules as a library packageThiscapedpackage was generated withCookiecutterusing@caped'scookiecutter-templatetemplate.InstallationYou can installcaped-ai-mtrackviapip:pip install caped-ai-mtrackTo install latest development version :pip install git+https://github.com/Kapoorlabs-CAPED/caped-ai-mtrack.gitContributingContributions are very welcome. Tests can be run withtox, please ensure
the coverage at least stays the same before you submit a pull request.LicenseDistributed under the terms of theBSD-3license,
"caped-ai-mtrack" is free and open source softwareIssuesIf you encounter any problems, pleasefile an issuealong with a detailed description.
Package: caped-ai-sentinal
caped-ai-sentinalA wrapper function package to call Sentinal library for trainingThiscapedpackage was generated withCookiecutterusing@caped'scookiecutter-templatetemplate.InstallationYou can installcaped-ai-sentinalviapip:pip install caped-ai-sentinalTo install latest development version :pip install git+https://github.com/Kapoorlabs-CAPED/caped-ai-sentinal.gitContributingContributions are very welcome. Tests can be run withtox, please ensure
the coverage at least stays the same before you submit a pull request.LicenseDistributed under the terms of theBSD-3license,
"caped-ai-sentinal" is free and open source softwareIssuesIf you encounter any problems, pleasefile an issuealong with a detailed description.
Package: caped-ai-tabulour
caped-ai-tabulourA base table widget for KapoorLabs Napari pluginsThiscapedpackage was generated withCookiecutterusing@caped'scookiecutter-templatetemplate.InstallationYou can installcaped-ai-tabulourviapip:pip install caped-ai-tabulourTo install latest development version :pip install git+https://github.com/Kapoorlabs-CAPED/caped-ai-tabulour.gitContributingContributions are very welcome. Tests can be run withtox, please ensure
the coverage at least stays the same before you submit a pull request.LicenseDistributed under the terms of theBSD-3license,
"caped-ai-tabulour" is free and open source softwareIssuesIf you encounter any problems, pleasefile an issuealong with a detailed description.
Package: cape-encrypt
Cape EncryptEase of use utility to allow functions deployed withCapeto leverage enclave only encryption and decryption. These operations are completed using your account levelCape Key.Installationpipinstallcape_encryptUsagedefcape_handler(data):plaintext=b"encrypt me"ciphertext=encrypt(plaintext)print(str(ciphertext))# cape:aaMrznPDy8ZrZT7CkRwpzTS9+rG+A4FuFPCfjLTrMa/2TyVvYdEx6PtYHnGizZKOZCytQUuo65OZkw5kQCJpNBuZzmd4lPB9lu0sSGLExPSivzMLKOH07rwrlBFFEEgZCvRoKBDebxVfq/Uv2v++Q4xmn4wksBjpPHjlLtGzpPu9mwMofs5eZLTVqp4g6yCuwaNbPkyhq09iRHiLOvWKhWfkf+0++/W2UDr81PLTdNBKI+kdHoTp/Xr8Uh9ooovwAx3V/LX9ESAHFWeW6BHV6JVcIP/tH1aFjuVVfH610I4eNZdaVyWV9DVdmsUF2o7g2tUmR+Eg++ts7MXxbWRz2PDZC8MDz52w6ZiUVluiluVPRh/VB+TmCJwSIfDQ3fiXAobhU/flA8jmzdE1pC3SdSY30vkqxwLBZ5VwGM4J7p2UsDuKzxZXVJ0Tg6ludB8y0NyZswYXZcewUuc0XZ2sOWCTqSP9t/0b/atGuwUxE5qkwEglP6s5AyVET8AZRH4KPoQuxjFUf7h+NJzZMDd/2Zef+yCGAP/8vKjpglDdItmsX3Bintu+Sp/ij6ynbFARpL9N7YZ8yA2Lpx/59Y/EnCuOdAJOpKcif3bnHNhKsGIATlO/lyY5bXRzGUpbejh+UAQC5qAsLmWQa/HZoF2ptGaGVhLpUs8zIdeLWFZ/YIhUXE1koI/BMMAT05kmaPPDvAELOkWJxpC4VYJWmzPZ29Opv7ye
Package: capek
ČapekPython library for developing TORCS racing robots.Getting startedInstall TORCS.The most convenient way is to install TORCS fromthis repository.
The repository contains the most recent version of the simulator withSCRpatches that allow communicating with TORCS via UDP.$ git clone https://github.com/fmirus/torcs-1.3.7.git
$ sudo apt-get install libglib2.0-dev libgl1-mesa-dev libglu1-mesa-dev \
     freeglut3-dev libplib-dev libopenal-dev libalut-dev libxi-dev \ 
     libxmu-dev libxrender-dev libxrandr-dev libpng-dev
$ cd torcs-1.3.7
$ ./configure
$ make
$ sudo make install
$ sudo make datainstallInstallČapek.$ pip install capek --userProgram a robot's logic.Reference robots are located in theexamplesdirectory.Test the robot.Start TORCS.SelectRace → Practice → Configure Race → Accept.Dropscr_server 1to theSelectedmenu.
This is the robot.SelectAccept → Accept → New Race.Observe.Fix, if necessary.Creating robotsTo create a robot usingČapek, you have to re-implement theDriverclass.
The common structure of a robot is demonstrated below.fromcapekimportDriver,ClientclassMyDriver(Driver):# ...# Initialize necessary classes or variables.# ...defdrive(self,state,control):# ...# Define behavior on gear change, steering, etc.# ...ifstate.speed_X<300:control.accel=1else:control.accel=0# Changes in control are sent to TORCS on the next tick.returncontrolclient=Client(verbosity=1)# Enters loop until reaches maximum learning episodes.# Or is interrupted.client.run(driver=MyDriver)The only methods that are supposed to be re-implemented aredrive,on_shutdownandon_restart.
The two latter exist because of convention with C++ and Java clients.
Package: capella-console-client
🛰️ capella-console-client 🐐Python SDK for api.capellaspace.com (task, search, order, download)Installationpipinstallcapella-console-clientRequirementspython >= 3.8, <4.0capella-console-clientrequires an active account onconsole.capellaspace.com. Sign up for an account athttps://www.capellaspace.com/community/.Usagefromcapella_console_clientimportCapellaConsoleClient# you will be prompted for console user (user@email.com)/ password before authenticatingclient=CapellaConsoleClient(verbose=True)# search for 2 open-data productsstac_items=client.search(instrument_mode="spotlight",product_type__in=["SLC","GEO"],collections=["capella-open-data"],limit=2)# orderorder_id=client.submit_order(items=stac_items,omit_search=True)# downloadproduct_paths=client.download_products(order_id=order_id,local_dir='/tmp',show_progress=True)DocumentationThe documentation forcapella-console-clientcan be foundhere.🧙‍ capella-console-wizard 🧙‍♂️starting withcapella-console-client>=0.8.0the SDK ships with an interactive wizard-like CLI:capella-console-wizardInstallationpip install capella-console-client[wizard]Usagecapella-console-wizard --helpseeSupportPleaseopen an issuewith enough information for us to reproduce your problem.
Aminimal, reproducible examplewould be very helpful.ContributingContributions are very much welcomed and appreciated. Seehow to contributefor more information.License• Licensed under theMIT License• Copyright 2024 • Capella Space •
Package: capella-diff-tools
Capella Diff ToolsTools for comparing different versions of a Capella modelQuick startRun thecapella-diff-toolwith a Git repo and two versions, being either
commit hashes or branch names:capella-diff-toolcoffee-machineindex-links/baseindex-links/leftdiagrams:sa:Missions Capabilities Blank:modified:-display_name:'[MCB]Capabilities'uuid:_J1uyIFucEe2iJbuWznnyfwSystem Architecture Blank:modified:-display_name:'[SAB]makecoffee'uuid:_MWuNkFuvEe2iJbuWznnyfwSystem Data Flow Blank:modified:-display_name:'[SDFB]makecoffee'uuid:_FOutoFujEe2iJbuWznnyfwmetadata:model:path:git+https://github.com/DSD-DBS/coffee-machine.gitnew_revision:author:martinlehmanndate:2023-09-27 14:31:03+02:00description:'fix:Inflationisreal,wecannotaffordrealcoffee[skipci]'hash:908a6b909dcdc071ffc0c424502d8f47d82d9f49revision:index-links/leftold_revision:author:martinlehmanndate:2023-09-27 14:30:47+02:00description:'refactor:FragmentoutSAandOA[skipci]'hash:cb0918af3df822344a80eda3fef6463bcf4c36f3revision:index-links/baseobjects:sa:SystemFunction:modified:-attributes:name:current:make black waterprevious:make coffeedisplay_name:make black wateruuid:8b0d19df-7446-4c3a-98e7-4a739c974059The CLI's first argument accepts the name of aknown model, a local folder,
or JSON describing a remote model. Currently it only supports Git, but aPython APIis available for more advanced comparisons.Thecapella-diff-toolcan also generate a human-friendly report in HTML form.
Use the-r/--reportflag and specify a filename to write the HTML report:capella-diff-toolcoffee-machineindex-links/baseindex-links/left-rcoffee-machine.htmlInstallationYou can install the latest released version directly from PyPI.pipinstallcapella-diff-toolsTo set up a development environment, clone the project and install it into a
virtual environment.gitclonehttps://github.com/DSD-DBS/capella-diff-toolscdcapella-diff-tools
python-mvenv.venvsource.venv/bin/activate.sh# for Linux / Mac.venv\Scripts\activate# for Windowspipinstall-Upippre-commit
pipinstall-e'.[docs,test]'pre-commitinstallAPI DocumentationThecapella_diff_toolsPython package exposes a Python API, which can be used
to compare arbitrary models programmatically. Documentation for this API isavailable on Github pages.ContributingWe'd love to see your bug reports and improvement suggestions! Please take a
look at ourguidelines for contributorsfor details.LicensesThis project is compliant with theREUSE Specification Version 3.0.Copyright DB Netz AG, licensed under Apache 2.0 (see full text inLICENSES/Apache-2.0.txt)Dot-files are licensed under CC0-1.0 (see full text inLICENSES/CC0-1.0.txt)
Package: capellambse-context-diagrams
Context Diagram extension for capellambseThis extension ofpy-capellambseenables generation of views (diagrams) that describe an element context (from a user-defined perspective). This allows systems engineers to do less layouting work and at the same time get diagrams with optimal layouts into the model-derived documents.The contents of an element context (what elements make it to the context) depend on the element of interest and are selected based on a hand-picked set of rules. However in many cases end user can further customize what and how needs to be in the context view.The generated views are delivered as SVG images and do not persist in the model itself. This approach enables generation of large number of views at scale (in parallel) in the document production pipeline and also saves quite some XML space in the models. When you rely on generated views for documentation the models can stay lite as they only need to have the engineering / design views (that dont need to have a nice layout).The layout work is done byelkjs'Layered algorithm.GenerateContext Diagramsfrom your model data!When the extension is installed you get additional method.context_diagramavailable on those model elements that are already covered by context view definitions.Simple contextInterface contextHave a look at ourdocumentationto get started and see the capabilities of this extension.Special thanks goes to the developers and maintainers ofEclipse Layout Kernel™.LicensesCopyright and license information added and maintained via the reuse tool fromReuse Software.Copyright 2022 DB InfraGO AG, own contributions licensed under Apache 2.0 (see full text inLICENSES/Apache-2.0)Copyright (c) 2021 Kiel University and others, ELK/Sprotty contributions (elkgraph-json.js&elkgraph-to-sprotty.js) licensed under EPL-2.0Dot-files licensed under CC0-1.0 (see full text inLICENSES/CC0-1.0)
Package: capella-RM-Bridge
Sync requirements from different ALM tools from and back to CapellaDocumentationRead thefull documentation on Github pages.InstallationYou can install the latest released version directly from PyPI.pip install capella-RM-BridgeTo set up a development environment, clone the project and install it into a
virtual environment.git clone https://github.com/DSD-DBS/capella-rm-bridge
cd capella-rm-bridge
python -m venv .venv

source .venv/bin/activate.sh  # for Linux / Mac
.venv\Scripts\activate  # for Windows

pip install -U pip pre-commit
pip install -e '.[docs,test]'
pre-commit installContributingWe’d love to see your bug reports and improvement suggestions! Please take a
look at ourguidelines for contributorsfor details.LicensesThis project is compliant with theREUSE Specification Version 3.0.Copyright DB Netz AG, licensed under Apache 2.0 (see full text inLICENSES/Apache-2.0.txt)Dot-files are licensed under CC0-1.0 (see full text inLICENSES/CC0-1.0.txt)
Package: caperea-server
Library management platform.LicenseCaperea Server is free software: you can redistribute it and/or modify
it under the terms of theGNU Affero General Public Licenseas published by
the Free Software Foundation, version 3 of the License only.Caperea Server is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
GNU Affero General Public License for more details.You should have received a copy of the GNU Affero General Public License
along with Caperea Server. If not, seehttps://www.gnu.org/licenses/.
Package: capesbusca
Capes BuscaBiblioteca para realizar busca de termos no catálogo de teses e dissertações da Capes (https://catalogodeteses.capes.gov.br/catalogo-teses)RequisitosPython 3$pipinstall-rrequirements.txtExemploBuscando o termo 'ia' nos anos 2018 e 2019# example.pyfromcapesbuscaimportsearch,SearchQueryfromcapesbusca.filtersimportAnosearch_query=SearchQuery.Builder("ia").set_page(1).set_page_size(40).add_filters(Ano(2018),Ano(2019)).build()result=search(search_query)forworkinresult.works:print(work.titulo)$ python example.py
    PyRDMIA: um pacote intervalar para aritmética RDM
    Avaliação e Sintonia de Controladores PID nos Domínios do Tempo e Frequên ia
    Pedagogia da Circularidade Afrocênica: Candomblé Congo-Angola, Filosofia Bantu e Ensino de Arte Transdisciplinar
    ...FiltrosAnoÁrea de AvaliaçãoÁrea de ConcentraçãoÁrea de ConhecimentoAutorBancaBibliotecaGrau AcadêmicoInstituiçãoOrientadorProgramaModelos dos dadosTrabalho (Work)idinstituiçãonome do programamunicípio do programatítuloautordata da defesavolumespáginasbibliotecagrau acadêmicolinkAgregação (Aggregation)campototalagragadosAgregado (Aggregate)valortotalSobre o usoO uso das informações da referida base de dados e de seus registros está sujeito às leis de direito autorais vigentes (Lei nº 9.610, de 19.02.98). Saiba maisaqui.
Package: capfinder
capfinderDocumentation:https://adnaniazi.github.io/capfinderSource Code:https://github.com/adnaniazi/capfinderPyPI:https://pypi.org/project/capfinder/A package for decoding RNA cap typesInstallationpipinstallcapfinderDevelopmentClone this repositoryRequirements:PoetryPython 3.7+Create a virtual environment and install the dependenciespoetryinstallActivate the virtual environmentpoetryshellTestingpytestDocumentationThe documentation is automatically generated from the content of thedocs directoryand from the docstrings
of the public signatures of the source code. The documentation is updated and published as aGithub project pageautomatically as part each release.ReleasingTrigger theDraft release workflow(pressRun workflow). This will update the changelog & version and create a GitHub release which is inDraftstate.Find the draft release from theGitHub releasesand publish it. When
a release is published, it'll triggerreleaseworkflow which creates PyPI
release and deploys updated documentation.Pre-commitPre-commit hooks run all the auto-formatters (e.g.black,isort), linters (e.g.mypy,flake8), and other quality
checks to make sure the changeset is in good shape before a commit/push happens.You can install the hooks with (runs for each commit):pre-commitinstallOr if you want them to run only for each push:pre-commitinstall-tpre-pushOr if you want e.g. want to run all checks manually for all files:pre-commitrun--all-files
Package: cap-from-youtube
cap_from_youtubeGet an OpenCV video capture from an YouTube video URLWhypafy is widely used to get the video URL from a YouTube video URL, but since it uses youtube-dl which has not been updated recently, it suffers from some issues (dislike_count not found...).This repository is a simplified version of what pafy does, by just getting the url of the video and creating an OpenCV video capture from it.It uses YT-DLP (https://github.com/yt-dlp/yt-dlp), which is a fork of youtube-dl that is updated frequently.RequirementYT-DLPOpenCVNumPyInstallationThe easiest way is to install it with pip:pipinstallcap_from_youtubeYou can also install it from GitHub:pipinstallgit+https://github.com/ibaiGorordo/cap_from_youtubeUsagecap_from_youtube()cap_from_youtube()is the main function to obtain a video capture from a YouTube video URL.It requires the video URL as input and returns acv2.VideoCaptureobject.By default, it returns the video with the highest resolution available.You can specify the resolution you want to get with theresolutionparameter.Resolution examples: '144p', '240p', '360p', '480p', '720p', '1080p', '1440p', '2160p', 'best'Example:importcv2fromcap_from_youtubeimportcap_from_youtubeyoutube_url='https://youtu.be/LXb3EKWsInQ'cap=cap_from_youtube(youtube_url,'1440p60')cv2.namedWindow('video',cv2.WINDOW_NORMAL)whileTrue:ret,frame=cap.read()ifnotret:breakcv2.imshow('video',frame)ifcv2.waitKey(1)&0xFF==ord('q'):breaklist_video_streams()You can also use thelist_video_streams()function to get the list of available video streams.It requires the video URL as input and returns two values:streams: a list of VideoStream with the information of the available video streams.resolutions: a NumPy array with the available resolutions.Example:fromcap_from_youtubeimportlist_video_streamsyoutube_url='https://youtu.be/LXb3EKWsInQ'streams,resolutions=list_video_streams(youtube_url)forstreaminstreams:print(stream)Referencespafy:https://github.com/mps-youtube/pafyyt-dlp:https://github.com/yt-dlp/yt-dlpimread_from_url:https://github.com/Kazuhito00/imread_from_url