Saravanan666/pypi-org huggingface dataset:
Package: reponetwork
RepoNetworkA python based tool that analyses the network structure of the repositories stored in Version Control stores such as
GitHub and GitLab.InstallationUse the package managerpipto install RepoNetwork.pipinstallreponetworkUsageYou can execute the script from the command line or import the package in python to extend it's functionalities.Examplesreponet-tMY_AUTH_TOKEN-qMVC-opath/to/file.gexfBuild the network of repositories in Github related to MVC and save the resulting graph in your computer at the
specified path. Authenticate with the specified personal private token from your GitHub account.
Authentication is not required, but encouraged as it allows performing more API requests per hour.
SeeGihub rate limit.reponet-shttps://gitlab.com/-tMY_AUTH_TOKEN-qMVC--stats1Build the network of repositories in the mainGitLabserver related to MVC and analyze
the results, showing only the best candidate for each analysis criteria. Authenticate with the specified personal
private token from your GitLab account. Authentication is not required, but encouraged as GitLab does not provide
enough information in un-authenticated queries and thus, the resulting network may be incomplete.reponet-uUSER_NAME-pPASSWORD-qMVC-opath/to/file.gexf--stats1--draw--since2015-01-01Build the network of repositories in Github server related to MVC and then analyse, draw and save the resulting graphs.
Authenticate with the user name and password from your Github account. Include only repositories and interactions
since the beginning of 2015. The graph will be saved and analysed after exceeding rate limits, so you can wait or
stop the process without loosing information.reponet-ipath/to/file.gexf--stats1--draw--since2015-01-01Load a previously saved network graph and then analyse and draw a visual representation of it.
Include only repositories and interactions since the beginning of 2015.ContributingPull requests are welcome. For major changes, please open an issue first to discuss what you would like to change.Please make sure to update tests as appropriate.LicenseMIT
Package: repo-on-fire
Repo On FireGoogle'srepotool - but on fire 🔥Aboutrepo-on-fireaims to be a thin wrapper around Google'srepotool.repoalready does a decent job when it comes to managing larger projects consisting
of severalgitrepositories.repo-on-fire(or -rof) doesn't re-invent
the wheel here - instead, it wraps aroundrepo, adding
some useful functionality on top. Particularly, this means:rofaims
to be 100% command line compatible withrepo- ideally, where ever you can
userepo, you can instead userof, taking benefit of that certainXit
adds.FeaturesCurrently, on top of allowing you to call through to any of therepocommands,repo-on-fireadds the following features on top:Automatic workspace caching.Theworkspace switchcommand can be used to switch to a particular branch
for the entire workspace.InstallationYou can use the following to installrepo-on-fire:piprepo-on-fireis available on PyPI, hence, you can easily install it usingpip. It is recommended to use virtual environments for this, so you can run
the following sequence of commands to create a virtual environment and install
the tool in it:# Create a virtual environment:python-mvenv./repo-on-fire# Install the tool within the just created virtual environment:./repo-on-fire/bin/pipinstallrepo-on-file# And finally, run it:./repo-on-fire/bin/repo-on-fire--helpPDMThe tool is managed usingPDM. Hence, install
it and then you can clone the sources of the tool and install all needed
dependencies in a virtual environment:# Get the sources:gitclonehttps://gitlab.com/rpdev/repo-on-fire.gitcdrepo-on-fire# Install dependencies:pdminstall# Run it:pdmrunrepo-on-fire--helpDocumentationIf you want to dive deeper into the tool and what it can do, please head over
to thedocumentation.
Package: repo-peek
repo-peekA command line tool to peek a remote repo locally and view it in your favorite editor. The tool handles cleanup of the repo once you exit your editor.Default editor is chosen by looking at theEDITORenvironment variable, if it is not set, vim is chosen as the default editor.install repo-peekpipinstallrepo-peekusage:repo-peek only has only subcommandpeek, which takes a repo as the argument.command usage:ghubpeek<repo>example:ghubpeekrahulunair/repo-peektodoenable for gitlabmore informationThe tool creates 2 files and a directory, a config file~/.githubkeep.conf, a log file~/.githubkeep.logand a directory~/.githubkeep. Github-peek downloads the tar:gz of the repo, extracts it and saves it to~/.githubkeep. There is a naive caching mechanism, where the tool deletes all repos after 5 times of using the app.
Package: repopip
Guía de usoCon esta aplicación puedes tener un repositorio local de paquetes de python. Todo lo que tienes que hacer es descargar el paquete que desees e iniciar el servidor, así ahorraras ancho de banda y datos de internet.Instalacíon:$ pip install repopipUso:Tienes quedescargarel paquete del repositorio oficialpip download [package_name].Copia el paquete a la carpeta%HOME%/.static/simple.Inicia el servidorpython -m repopip. Este comando iniciara el servidor enhttp://127.0.0.1:5000/.Comienza a usar tu servidor.pip install --index-url="http://127.0.0.1:5000/simple/" [package_name].Puedes configurar pip copiado las lineas siguiente en una de las siguientes ubicaciones y el paso anterior seria tan simlpe como pip install [package_name]:Global:C:\ProgramData\pip\pip.iniUser:%APPDATA%\pip\pip.ini o con la opcion antigua %HOME%\pip\pip.iniSite:%VIRTUAL_ENV%\pip.ini[global]
index-url=http://127.0.0.1:5000/simple/También se puede usar remmotamente, solo necesitas saber la dirección donde esta alojado el servidorpip install --index-url="http://direccion_de_dominio_o_ip/simple/" [package_name]además de poderse configurar como el paso anteriorEn futuras versiones haremos el proceso de configuración más facil.
Package: reportabug
reportabugA Python tool for collecting information when reporting bugs.Installationpython -m pip install git+https://github.com/zooba/reportabug
python -m pip install reportabugInstalling directly from GitHub is recommended for now, as not every improvement
is being released to PyPI.Usagereportabug [--format FORMAT] [MODULE NAMES]
python -m reportabug [--format FORMAT] [MODULE NAMES]The report will be output to the console. You should copy-paste this into
your bug report.FORMATmay be one ofghmarkdown(default, alsoghmdandghm),markdown(alsomdandm), ortext(alsot). In general,ghmarkdownwill be valid and optimised for GitHub issues, whilemarkdownwill be more
pure.On Windows, you can pipe toclip.exeto store the output on the clipboard.python -m reportabug [MODULE NAMES] | clipSome personal information will be hidden, though a non-reversible summary of its contents is included as this information may be important.Remember to review your report for personal information before sharing.Seeissue #1for an example report.APICurrently,reportabughas no public API. However, modules specified on the command line may expose a_reportabug_infogenerator to provide additional info.def_reportabug_info(arg):yield'summary','summary line of text'yield'key',VALUEEach key/value pair will be added to the result section for the module. If thesummarykey exists, it will be added to a summary section if one exists for the selected output format.Theargparameter is currently undefined, but may be used in future.ContributingContributions are welcome. Feel free to file an issue or PR.Requests to add further information to the report should include supporting evidence, such as a bug that would have been diagnosed more quickly with the additional information.PrivacyNo information is transmitted by this tool. Please review and remove personal information from the generated reports before sharing with other people.
Package: reportbro-fpdf
This is a fork of the PyFPDF library and fixes unicode issues. It allows usage
of non-latin-1 characters (e.g. Euro sign €) in Python 3. This is possible
by internally using a bytearray output buffer instead of a string (and should
also be more efficient). This library is used byreportbro-lib(see alsoReportBro).PyFPDF is a library for PDF document generation under Python, ported from PHP
(seeFPDF: “Free”-PDF, a well-known
PDFlib-extension replacement with many examples, scripts and
derivatives).Compared with other PDF libraries, PyFPDF is simple, small and versatile, with
advanced capabilities, and is easy to learn, extend and maintain.Features:Python 2.7 and 3.5+ supportUnicode (UTF-8) TrueType font subset embeddingBarcode I2of5 and code39, QR code coming soon …PNG, GIF and JPG support (including transparency and alpha channel)Templates with a visual designer & basic html2pdfExceptions support, other minor fixes, improvements and PEP8 code cleanupsInstallation Instructions:You can install PyFPDF from PyPI, with easyinstall or from Windows
installers. For example, using pip:pipinstallreportbro-fpdfTo get the latest development version you can download the source code running:gitclonehttps://github.com/jobsta/pyfpdf.gitcdpyfpdfpythonsetup.pyinstall
Package: reportbro-lib
ReportBro is a library to generate PDF and XLSX reports. Report templates can be created
withReportBro Designer,
a Javascript Plugin which can be integrated in your web application.See the ReportBro project website onhttps://www.reportbro.comfor full documentation and demos.FeaturesPython >= 3.7 supportGenerate pdf and xlsx reportsSupports (repeating) header and footerAllows predefined and own page formatsUse text, line, images, barcodes and tables, page breaksText and element stylingEvaluate expressions, define conditional styles, format parametersInstallationpipinstallreportbro-libGo tohttps://www.reportbro.com/doc/api#lib-argumentsfor more information on configuration and usage.Python Coding StyleThePEP 8 (Python Enhancement Proposal)standard is used which is the de-facto code style guide for Python. An easy-to-read version
of PEP 8 can be found athttps://pep8.orgFor pull requests the same coding styles should be used.LicenseCommercial licenseIf you want to use ReportBro to develop commercial applications and projects, the Commercial license is the appropriate license. With this license, your source code is kept proprietary. Purchase a ReportBro Commercial license athttps://www.reportbro.com/license/indexThis license includes ReportBro PLUS with additional features.Open-source licenseIf you are creating an open-source application under a license compatible with theGNU AGPL license v3, you may use ReportBro under the terms of the AGPLv3.Read more about ReportBro’s license options athttps://www.reportbro.com/license/index.
Package: reportbro-plus-lib
ReportBro is a library to generate PDF and XLSX reports. Report templates can be created
withReportBro Designer,
a Javascript Plugin which can be integrated in your web application.See the ReportBro project website onhttps://www.reportbro.comfor full documentation and demos.FeaturesPython 2.7 and Python >= 3.5 supportGenerate pdf and xlsx reportsSupports (repeating) header and footerAllows predefined and own page formatsUse text, line, images, barcodes and tables, page breaksText and element stylingEvaluate expressions, define conditional styles, format parametersInstallationpipinstallreportbro-plus-installGo tohttps://www.reportbro.com/doc/api#lib-argumentsfor more information on configuration and usage.Python Coding StyleThePEP 8 (Python Enhancement Proposal)standard is used which is the de-facto code style guide for Python. An easy-to-read version
of PEP 8 can be found athttps://pep8.orgFor pull requests the same coding styles should be used.LicenseCommercial licenseIf you want to use ReportBro to develop commercial applications and projects, the Commercial license is the appropriate license. With this license, your source code is kept proprietary. Purchase a ReportBro Commercial license athttps://www.reportbro.com/license/index.Open-source licenseIf you are creating an open-source application under a license compatible with theGNU AGPL license v3, you may use ReportBro under the terms of the AGPLv3.Read more about ReportBro’s license options athttps://www.reportbro.com/license/index.DEBUGimportsysimportlogginglogging.basicConfig(stream=sys.stderr,level=logging.DEBUG)logging.debug("Something")
Package: report-builder-Monaco-race
Task 6 - Report of Monaco 2018 RacingGetting startedThere are 2 log files start.log and end.log that contain start and end data of the best lap for each racer of Formula 1 - Monaco 2018 Racing. (Start and end times are fictional, but the best lap times are true). Data contains only the first 20 minutes that refers to the first stage of the qualification.This package read data from 3 files, order racers by time and print report that shows the top 15 racers and the rest after underlineAdd your filesCreateoruploadfilesAdd files using the command lineor push an existing Git repository with the following command:cd existing_repo
git remote add origin http://git.foxminded.ua/foxstudent104833/task-6-report-of-monaco-2018-racing.git
git branch -M main
git push -uf origin main

## Integrate with your tools

- [ ] [Set up project integrations](http://git.foxminded.ua/foxstudent104833/task-6-report-of-monaco-2018-racing/-/settings/integrations)
Package: reportengine
ReportengineReportengine is a framework to develop scientific applications. It is
focused on supporting declarative input (YAML), enforcing
initialization time ("compile time") constraints, and enabling
iteration within the declarative input.It includes support for figures, tables (pandas) and HTML
reports.The documentation of the NNPDF specific implementation can be found
here:https://data.nnpdf.science/validphys-docs/guide.htmlAn example application can be found in theexampledirectory.InstallIt is recommended to work with the package usingconda.For linux or Mac, you can install a precompiled package by runningconda install reportengine -c https://packages.nnpdf.science/condaAlternatively the package can be installed frompip:pip install reportengineNote that it will additionally requirepandocto work.DevelopmentInstall in development mode:pip install -e .Running the testsEasiest way is:pytest
Package: report-env
[stuck] python version of npx envinfoi tried to make a python verison of envinfo but failed with the packaging.'report-env' executable script not found in package 'report-env'.
Available executable scripts:Distributingfailed to use poetry to bundle - got/Users/swyx/Desktop/Work/env-info/report_env does not contain any elementerror and couldnt fixpython3 -m buildpython3 -m twine upload dist/*thankshttps://packaging.python.org/en/latest/tutorials/packaging-projects/https://github.com/cs01/pycowsay
Package: reportermate
Reportermate is an open source project tocreate an automated news
reporting system. This library forms the
base of the system, and combines the pandas data analysis library, the
handlebars templating language, and a whole bunch of helper functions to
automate the generation of text reports from data.Installationpip install reportermateUsageInstalling the reportermate lib adds the reportermate function to your
command line.reportermate my-data.csv my-template.txtUsing this function will take your data and then analyse and render it
according to the template provided.To use reportermate from within another python script, import the
analyseAndRender function:fromreportermateimportanalyseAndRenderanalyseAndRender(my-data.csv,my-template.txt)TemplatesReportermate uses the handlebars template language to define the
analysis of the dataset, and how the results should be rendered into
text. The template functions are the key to generating your text
results.Template function definitions and examples coming soon…
Package: reporter-su
reporter_suLanguageEnglishDeacriptionAuto check your task if you use PBS to submit and email you when finishedRequirements> python 3InstallationOption 1:gitclonegit@github.com:ZeroDesigner/reporter_su.gitcdreporterpythonsetup.pyinstallOption 2:pipinstallreporter_suUsageStep 1# you need to get these informations belowreceiver='lus***@outlook.com'sender='86136***@qq.com'mail_license='******'smtpserver='smtp.qq.com'mail_body='my task pdbid has been finished'mail_title='task 1'pdbid='change_text'Step 2# the checker will check task status every 60 minsimportreporter_su.pbs_reporterasrpifrp.auto_check(pdbid,time_scan=3600)==0:rp.auto_report(receiver,sender,mail_license,smtpserver,mail_body,mail_title)LicenseMITEmailluskyqi@outlook.com语言中文描述自动检查你的任务是否已经完成（在使用PBS调度系统时），同时email提醒，在任务完成之后依赖大于 python 3安装选项 1：gitclonegit@github.com:ZeroDesigner/reporter_su.gitcdreporterpythonsetup.pyinstall选项 2：pipinstallreporter_su用法步骤 1# 你需要获取这些信息receiver='lus***@outlook.com'sender='86136***@qq.com'mail_license='******'smtpserver='smtp.qq.com'mail_body='my task pdbid has been finished'mail_title='task 1'pdbid='change_text'步骤 2# 脚本会每隔1个小时检查一下任务是否存在importreporter_su.pbs_reporterasrpifrp.auto_check(pdbid,time_scan=3600)==0:rp.auto_report(receiver,sender,mail_license,smtpserver,mail_body,mail_title)协议MIT邮箱luskyqi@outlook.com
Package: reportexport
[![Build Status](https://travis-ci.org/mdalp/reportexport.svg?branch=master)](https://travis-ci.org/mdalp/reportexport)version number: 0.0.3
author: Marcello DalponteOverviewA Flask microservice that produces reports out of a database in xml and pdf format.Installation / UsageTo install use pip:$ pip install reportexportOr clone the repo:$ git clonehttps://github.com/mdalp/reportexport.git$ python setup.py installTo run:$ REPORTEXPORT_DATABASE=postgresql://myuser:passwd@localhost/mydb make runContributingThis is a sketch project as such it is open to a number of improvements, among which:Dinamically calculate the left indent space in the pdf reportAdd the currency to the prices in the reportImprove the comparison between pdfs in the test utils to detect format changesTo install requirements for dev:$ make devinstallTo run tests:$ make tests
Package: report-files
WARNINGThis project has the same functionality of my projectreportFile.
So, any other updated of this project is postponed until either the project will be joined.ListFilesThis application build tow report file, by passing an absolute or relative path:report CSV with all the files inside the directory. The data are:
-- path
-- name of the file
-- dimension in byte
-- extension
-- date of creation or last updatereport with all the files and, for every of these, a table with the data of the (probable) duplicates. The data are:
-- complete path
-- dimsione in byte
-- date fo creation of last updateBugFixFutureproblem withIndexError, not better identifiedthe name of the printed file has to join to the extensionNextThe input arguments have to be validated before the elaborationRunningNonePastfix the runFeaturesFutureWrite a report with some filter in input (e.g. only files with a particural extension, only files after a date etc)Write a report with all the documents or images or videoChange the name and url of the Github repositoryShow the directories with no elementsNextFix the style of the files and the classes as [PEP8] (https://www.python.org/dev/peps/pep-0008/)RunningWrite the file ofContributingas [this] (https://gist.github.com/PurpleBooth/b24679402957c63ec426/forks)PastThe project is structured for CI in TravisThe directory of the source has the same name of the application, notsrcThe directory of the source has the classes with no unit testThe classes with unit test are moved inside the module of test (an idea of mine to coupling stronger test and source code)Status CI IntegrationI useTravisGetting startedPrerequisitesPython 3.0+pippytestInstallingClone the project withgit-clone(or download directly it)Have fun!Running the testsI usepytestframework. In the modul insidetestsdirectory, I put also the classes from typicalsrcdirectory (I prefer to have class and test in the same class).Every unit test is declared inside the class, because for me test and implementation musto go together (highly coupled)Break down into to end to end testsNo indicationsCoding styles sheetsPlease read the fileCONTRIBUTING.mdDeploymentPackage in PyPiRun    _>>> python Main.py $PATH_OF_ROOT_DIRECTORYBuilt with:ViM- one of the best text editor I knowpytest- mature and full-featured Python testing tool, more advanced thanunittestContributingPlease read theContributing.mdfor the details about the code of conduct and the process for submitting pull requests.VersioningWe useSemVerfor versioning. For the versions available, see thetags on this repository.Authors--Alessandro Puzielli-- - -creator- -AlepuzioSee also the list ofcontributorswho participated in this project.LicenseThis project is licensed under the MIT License - see theLICENSE.mdfile for detailsAcknowledgments--PurpleBooth-- - to publish anexcellent templateof README that I used in this project--Yegor256-- - to write the postElegant READMEsabout the README file and theAn Open Code Base Is Not Yet an Open Source Projectfor the Open Source projects
Package: reportforce
A Salesforce Analytics API client for PythonEver needed to daily download a Salesforce report and curse your life because
it gets so tedious to do so manually in the browser or something?Well, me too. To turn this process less painful, I created this package. By
using it, you will hopefully be able to download most Salesforce reports as aDataFrameor an Excelspreadsheet.Check out our documentation atreadthedocs.Main FeaturesSupports downloading tabular, matrix and summary reports.Workaround the 2000 row limit if you provide a column with unique values.Download reports as Excel files.LicenseMITContributingIf you find a bug, please, feel free to open an issue! Likewise, if you think
something could be improved, open a pull request.SupportYou can help me by starring this repository. :)
Package: report-hub-cli
ReportHub cliReportHub cli is a support for configuration ReportHub server.Send allure report folder to ReportHub serverTechReportHub cli uses a number of open source projects to work properly:Click 7.0- Python package for creating beautiful command line interfacesrequests 2.21.0- Requests is the only Non-GMO HTTP library for Python, safe for human consumption.And of course ReportHub itself is open source with apublic repositoryon GitHub.InstallationReportHub cli requiresPython3.4+ to run.To install ReportHub cli, simply use pip:$pipinstallreport-hub-cliSimple usage$reportallure-hhttp://somehost-psome-project-msome-moduleTodosSend short report to telegram botLicenseMITFree Software, Hell Yeah!
Package: reportify
# Reportify## InstallationAssuming you have pip installed, you can run`bash pip install reportify--user`Omit–userif you are running in a Python virtual environment, but otherwise keep it: don’t use sudo, it’s dangerous because it modifies the Python environment that your operating system may rely on.If you aren’t running in a Python virtual environment, you may need to add~/.local/binto yourPATHenvironment variable. This can be done by editing your shell initialization script, usually~/.bashrc. (The tilde character ‘~’ will expand to the path to your home directory). Add the following line to the end of that file:`bash exportPATH=~/.local/bin:$PATH`Now check that thereportifyscript is available by tryingreportify –help. If you see usage information, everything went fine. If you get something like ‘command not found’, then everything went not fine.## UsageTo see arguments, runreportify –help.Inside the repository’sexamplesdirectory is an example notebook,example.ipynb, on which you can try reportify:`bash reportify example.ipynb `this should output a file,example.html, in the current directory.