Saravanan666/pypi-org huggingface dataset:
Package: package-image-processing-DiO
Projeto: Pacote de Processamento de ImagensAutora do Projeto: Karina KatoProjeto: Descomplicando a criaÃ§Ã£o de pacotes de processamento de imagens em Python (DiO)Tecnologia: PythonData: 25/10/2022DescriÃ§Ã£oO pacote "package_image_processing_DiO" Ã© usado para:MÃ³dulo "Processing":CorrespondÃªncia de histograma;Similaridade estrutural;Redimensionar imagem;MÃ³dulo "Utils":Ler imagem;Salvar imagem;Plotar imagem;Resultado do grÃ¡fico;Plotar histograma;Passo a passo da configuraÃ§Ã£o para hospedar um pacote em Python no ambiente de testes Test PypiInstalaÃ§Ã£o das Ãºltimas versÃµes de "setuptools" e "wheel"py -m pip install --user --upgrade setuptools wheelTenha certeza que o diretÃ³rio no terminal seja o mesmo do arquivo "setup.py"C:\User\user-name\image-processing-package> py setup.py sdist bdist_wheelApÃ³s completar a instalaÃ§Ã£o, verifique se as pastas abaixo foram adicionadas ao projeto:build;dist;image_processing_test.egg-info.Basta subir os arquivos, usando o Twine, para o Test Pypi:py -m twine upload --repository testpypi dist/*ApÃ³s rodar o comando acima no terminal, serÃ¡ pedido para inserir o usuÃ¡rio e senha. Feito isso, o projeto estarÃ¡ hospedado no Test Pypi.hospedÃ¡-lo no Pypi diretamente.O objetivo este projeto foi realizar um simples teste com o projeto da Karina com hospedagem no Test Pypi em um projeto do bootcamp Unimed BH da DiO.InstalaÃ§Ã£o local, apÃ³s hospedagem no Test PypiInstalaÃ§Ã£o de dependÃªnciaspip install -r requirements.txtInstalÃ§Ã£o do PacoteUse o gerenciador de pacotespip install -i https://test.pypi.org/simple/ package-image-processing-DiOpara instalar image_processing-testpipinstallimage-processing-testComo usar em qualquer projetofromimage-processing-test.processingimportcombinationcombination.find_difference(image1,image2)Autor (quem hospedou o projeto no Test Pypi)jonathansilva13LicenseMIT
Package: package-image-template-processing-2
package_nameProcessamento de ImagensDescription.The package image_processing is used to:Processing:
	- Histogram matching;
	- Structural similarity;
	- Resize image

Utils:
	- Read image;
	- Save image;
	- Plot image;
	- Plot result;
	- Plot histogramInstallationUse the package managerpipto install package_namepipinstallimage_processingUsage## Author
Lucimar Neves

## License
[MIT](https://choosealicense.com/licenses/mit/)
Package: package-index
package-indexDataclasses API for PyPI and other warehouses.InstallationAvailable fromPyPI:pipinstallpackage-indexUsage>>>frompackage_indeximportfetch_package>>>package=fetch_package('package-index')>>>print(package.info)PackageInfo(name='package-index',author='mdrachuk',author_email='misha@drach.uk',bugtrack_url=None,classifiers=['De...>>>print(package.versions){'1.0.0b0','1.0.0b1'}
Package: packageinit
Automatically createinit.py files for your whole projectMotivationLet's say you have this python project structure (And you installed test_repo into your python environment)test_repo/
├── backend
│   └── server.py
├── frontend
└── util
    ├── dom_util.py
    ├── numpy_util.py
    ├── python_util.py
    └── torch_util.pyNow when you want to import a lot of utilities inserver.py, you'll have to writefromtest_repo.util.dom_utilimportdom_loaderfromtest_repo.util.numpy_utilimportspecial_gatherfromtest_repo.util.torch_utilimportrolling_windowfromtest_repo.util.python_utilimportlist_rindexThis is cubersome and annoying for anyone using the package externally. Packageinit will automatically create an__init__.pyfile insidetest_repo/utilthat imports all non-private methods, modules, variables and constants defined in the python files fromtest_repo/util. Afterwards, you can instead just import all the utilities usingfromtest_repo.utilimportdom_loader,special_gather,rolling_window,list_rindexInstallationpip install packageinit. Optionally install black formatter usingpip install blackfor nicely formatted__init__.pyfiles.Alternatively, clone this repo and install withpip install -e .UsageIndividual import modepackageinit project_folder. This will create__init__.pyin eachproject_folderand each subfolder that contains.pyfiles. Each__init__.pyfile will import all methods, classes, constants and variables defined in each.pyfile of its folders via relative import.Warning: This may overwrite exisiting__init__.pyfiles. It tries to preserve anything not import related in existing__init__.pyfiles, but that only works if they come after the imports.Warning: For this to work, all imports in your .py files have to be at the top of your files.Warning: All.pyfiles in yourproject_folderhave to be importable without error for this to work.Starred modepackageinit project_folder --starred. This will create__init__.pyin eachproject_folderand each subfolder that contains.pyfiles. Each__init__.pyfile includefrom .yourfilename import *for each.pyfile in it's folder.Warning: Importing using*may result in cylclic imports depending on the rest of your import structure in the code.
Package: package-installation-test
package-installation-testThis package is designed to verify that you can successfully install Python packages from PyPI usingpip, and subsequently use them. In particular, it is meant to test that you are installing packagesto the correct Python installation. It is written to complement a question on Stack Overflow about this problem, to allow for testing the solutions offered there.InstallationInstall this package from PyPI usingpip install package-installation-test. Alternately, clone the repository, navigate to the root of the repository, and then usepip install .to install it. Note the.at the end of the latter command (specifying the current directory).Note carefully that the installed package has adifferent namefrom the name used on PyPI and in this repository; although we installpackage-installation-test(notice that this is not a valid Python identifier anyway), code will refer to the package asexample_package.Command-line useOnce installed, you should be able to "run" the package as a module, usingpython -m example_package.Installation will also create a wrapper executable calleddemo-example-package, which you can run at the command line by that name.Either of these options should print a diagnostic message that looks like:Version 1.0.0 of example_package successfully installed.
The source code is in <...>.where the<...>is replaced by the actual path where the code was installed.APIYou can verify that the code is usable as a package byimporting it from the interactive prompt:>>> import example_package
>>>This provides two functions:main- prints the same message as before.home- returns the path to where the code was installed, as apathlib.Pathinstance.Both of these functions take no arguments.TroubleshootingIf the above steps don't work as advertised, the problem isalmost certainlythatpipinstalled to a different installation of Python than the one you are trying to use. (If thedemo-example-packagedoesn't work, that's because you installed to a Python installation that isn't the first one on thePATH.Please read the corresponding question and answer on Stack Overflow to understand how to solve the problem.
Package: package-Kolekar
package-KolekarThe package-Kolekar is a Python library that helps to solve the regression problem statements.
It provides Regression and Ensemble Learning-based Models to evaluate the performance of the complete ML model life cycle.InstallationUse the package managerpipto install package-Kolekar.pipinstallpackage-KolekarMain FeaturesGradient Descent:Linear RegressionRidge RegressionLassoElasticNetEnsemble Learning:Avg_EnsembleDocumentationThe documentation for the latest release is athttps://github.com/tusharkolekar24/package_Kolekarhttps://github.com/tusharkolekar24/Ensemble_Learninghttps://tusharkolekar24.gitbook.io/package-kolekar-1/ContributingContributions in any form are welcome, including:Documentation improvementsAdditional testsNew features to existing modelsNew modelsLicenseThis package has license under- MIT LicensesMIT
Package: package-lfcayres
package-lfcayresDescription.
The package package-lfcayres is used to:
Processing:
- Histogram matching
- Structural similarity
- Resize image
Utils:
- Read image
- Save image
- Plot image
- Plot result
- Plot histogram## InstallationUse the package managerpipto install package-lfcayrespipinstallpackage-lfcayresAuthorLuiz Felipe Cayres VieiraLicenseMIT
Package: package-locator
FeaturesFor a given package, package-locator locates its source code repository and the sub-directory within the repository the package resides in.Covers packages from npm, PyPI, RubyGems, Composer, and Cargo.Locates repository from metadata collected from registry APIs.Validates repository and locates sub-directory through a set of heuristics for each package ecosystem. For npm, Composer, and Cargo packages, package-locator looks at the manifest file (package.json,composer.json, andCargo.toml) to locate package specific code. For RubyGems and PyPI packages, package-locator either looks at the manifest file (gemspecfile) or compares the files present in the registry with the files present in the repository.InstallationYou can installpackage-locatorviapipfromPyPI:$pipinstallpackage-locatorUsagefrom package_locator.locator import get_repository_url_and_subdiris the primary function offered by package-locator. The function takes two inputs - ecosystem and package. The ecosystem names need to be provided as per defined within package-locator. You can importfrom package-locator.common import CARGO, NPM, PYPI, COMPOSER, RUBYGEMSand then use the constant values to indicate the ecosystem name. The function returns the source code repository URL and the sub-directory within the repository where the input package resides in. For example,get_repository_url_and_subdir(NPM, "react")call returns("https://github.com/facebook/react", "./packages/react").CreditsThis package was created withcookietempleusingCookiecutterbased onHypermodern_Python_Cookiecutter.
Package: package-logger
This Package can be used from Debugging purposes.
When you are working in long project, you often use print statement for debugging purposes.
Sometime, you use to many print statement and after completing debugging you spent sometime to find and remove all those previous print statementWhat does this package do?
When you print something for debugging purposes using this package, it will print out in following pattern[TYPE_OF_WARNING] -> TextType (INFO, WARNING, etc)
[From] -> Which method is calling this packages' method
[Line] -> On which line is it calling
[Statement(s)] -> Print all the messages you have writenYou can even pass multiple texts as parameters just like in print statementExample
from package_logger import LoggerClass, TextTypelogger = LoggerClass()
logger.print("Hello", "World", type_ = TextType.INFO)You can use colorPrint method instead of print method to print with color for different messages type
Example
from package_logger import ColorType
logger.colorPrint("Hello", "World", type_ = TextType.INFO, color = ColorType.COLOR_INFO)
Package: package-maker
package-maker - Make a Python PackageThepackagepackage package package is a framework for building and
maintaining Python packages, like those bound for PyPI:http://pypi.python.org/pypi/package/This package,package-maker, installs a command line utility calledpython-package-makerthat creates a new package for you.All you need to do is:> python-package-maker newthingThe package-maker will generate a new package directory (called newthing) for
you and configure it completely, based on yourpackage-pydefault
settings.This utility assumes that you have already installed and configured thepackagepackage package package from PyPI, and that you are somewhat
familiar with it.Once you get used to the power ofpackage, this little utility will just
get you started on a new package, a little faster.InstallationUse:> sudo pip install package-makeror:> sudo easy install package-makeror:> git clone git://github.com/ingydotnet/package-maker-py.git
> cd package-maker-py
> sudo make installUsageFrom the command line run:> cd ~/src
> python-package-maker newthing
> cd newthing
> make help
> make test
# etc…Development StatusAlphaAuthorsIngy dot Net <ingy@ingy.net>Copyrightpackage-maker is Copyright (c) 2011, Ingy dot Netpackage-maker is licensed under the New BSD License. See the LICENSE file.
Package: package-mallah
Ceci est un package offrant deux modules.un module dÃ©terminant si une annÃ©e est bissextille ou pasun module affichant la table de multiplication d'un nombreChange Log0.0.1 (05/12/2020)First ReleaseCopyright 2020 Mallah CherifL'autorisation est par la prÃ©sente accordÃ©e, gratuitement, Ã  toute personne obtenant une copie de ce logiciel et des fichiers de documentation associÃ©s (le Â«LogicielÂ»), de traiter le Logiciel sans restriction, y compris, sans s'y limiter, les droits d'utilisation, de copie, de modification, de fusion , publier, distribuer, concÃ©der une sous-licence et / ou vendre des copies du Logiciel, et permettre aux personnes Ã  qui le Logiciel est fourni de le faire, sous rÃ©serve des conditions suivantes:L'avis de droit d'auteur ci-dessus et cet avis d'autorisation doivent Ãªtre inclus dans toutes les copies ou parties substantielles du logiciel.LE LOGICIEL EST FOURNI "EN L'Ã‰TAT", SANS GARANTIE D'AUCUNE SORTE, EXPRESSE OU IMPLICITE, Y COMPRIS MAIS SANS S'Y LIMITER LES GARANTIES DE QUALITÃ‰ MARCHANDE, D'ADÃ‰QUATION Ã€ UN USAGE PARTICULIER ET D'ABSENCE DE CONTREFAÃ‡ON. EN AUCUN CAS, LES AUTEURS OU LES TITULAIRES DES DROITS D'AUTEUR NE SERONT RESPONSABLES DE TOUTE RÃ‰CLAMATION, DOMMAGE OU AUTRE RESPONSABILITÃ‰, QUE CE SOIT DANS UNE ACTION DE CONTRAT, DE TORT OU AUTRE, RÃ‰SULTANT DE, HORS OU EN LIEN AVEC LE LOGICIEL OU L'UTILISATION OU AUTRES ACTIONS DANS LOGICIEL.
Package: package-manager-TirsvadCLI
Package ManagerPackage Manager for different distrobution of linux.Conventions# - requires given linux commands to be executed with root privileges either directly as a root user or by use of sudo command
$ - requires given linux commands to be executed as a regular non-privileged userInstallation$ pip install package-manager-TirsvadCLITODOPackage installAdd support for fedora and centosDevelopmentWant to contribute? Great!
Package: packageManifest
A Python 3 framework for creating and maintaining a generalised manifest of files inspired by the Python MANIFEST.in. The framework would typically used as the basis of some kind of packaging tool to define the file needed for distribution of the package.Contents1Main Features2Installation3Getting Started1Main FeaturesYAML based file formatCommon manifest operations:include/excludeglobal include/excluderecursive include/excludeprune/graft2InstallationThe simplest way to acquirepackageManifestis usingpip.pipinstallpackageManifest3Getting StartedThe manifest YAML file is simply a list of the include or exclude operations to comprise the formulation of files. There
are six different types of operations - the same as the PythonMANIFEST.in.Each include/exclude operation can take either afilesdirective or adirectorydirective, or both, depending
on the type of include/exclude being applied.-include:files:['LICENSE','README.md']-exclude:files:['*.orig']-recursive-include:directory:'include'files:['*.h','*.c']-recursive-exclude:directory:'temp/subdir'files:['*']-global-include:files:['Makefile']-global-exclude:files:['*.txt','*.tmp','test']-prune:directory:'bin'-graft:directory:'src'Thefilesdirective contains a list of unix-glob like patterns to be applied to files.
Thedirectorydirective contains a single character string of the directory.Using the manifest file is simply a matter of importing the library and using thefrom_yamlFileclass method to
import the operations and apply them to the specified root directory of the directory tree from which to extract files.frompackage-manifestimportManifestthisManifest=Manifest.from_yamlFile('manifest.yml','.')manifestFiles=thisManifest.apply()manifestFilesnow contains a Python set of the file names from the root directory'.'that have been filtered by
the operations specified in the filemanifest.yml.
Package: package-manifest
A Python 3 framework for creating and maintaining a generalised manifest of files
inspired by the Python MANIFEST.in. The framework could be used as the basis of a
packaging tool to define the files needed for distribution of the package.Contents1Main Features2Installation3Getting Started4DOI Archive1Main FeaturesYAML based file formatManifest include & exclude actions using Unix globs,**(recursive) and*2InstallationThe simplest way to acquirepackage_manifestis usingpip.pipinstallpackage-manifest3Getting StartedThe manifest YAML file is simply a list of the include and exclude actions to
comprise the formulation of a list of files. Each include/exclude action can take
multiple Unix-style globs per thePython standard library.---# Python MANIFEST.in is used as a reference:# https://docs.python.org/3.6/distutils/sourcedist.html#manifest:# include the files ./LICENSE and ./README.md-include:-LICENSE-README.md# exclude ./*.orig files-exclude:# NOTE: have to be careful to quote values starting with a wildcard (*) because#       it has special meaning in YAML syntax.-"*.orig"# include *.h & *.c files anywhere in the ./include directory and its subdirectories.-include:-include/**/*.h-include/**/*.c# exclude all files and subdirectories in the ./temp directory.-exclude:-temp/**/*# include files called "Makefile" anywhere in the tree.-include:-"**/Makefile"# exclude files matching *.txt, *.tmp, test anywhere in the tree.-exclude:-"**/*.txt"-"**/*.tmp"-"**/test"# remove the ./bin directory and all files and subdirectories.-exclude:-bin/**/*# add the ./src directory and all files and subdirectories.-include:-src/**/*Using the manifest file is simply a matter of importing the library and using thefrom_fileclass method to import the operations and apply them to the
specified root directory of the directory tree from which to extract files.frompackage_manifestimportManifestthis_manifest=Manifest.from_file("manifest.yml")manifest_files=this_manifest.apply(".")manifest_filesnow contains a Python set of the file names from the current working
directory'.'and its subdirectories that have been filtered by the
sequential include and exclude actions specified in the filemanifest.yml.4DOI Archive0.2.00.3.0
Package: package-matthis-bernet
M1-2022-gitIntroductionThis repository is a fork from the previous repository.
The bugs in the converter have been fixed and now we want to publish our work as a publicly available python package.Getting startedYou should be working fromyour own repositorythat is a fork of M1-2022-git-workflow.
In order to run this project, you will have to follow these steps.Clone this projectmove into the project foldercdM1-2022-git-workflowSet up a virtual environmentCreate the virtual environmentpython-mvenvmyvenvActivate venv.venv/bin/activateInstall pytestpipinstall-UpytestExecute main scriptpythonmain.pyInstructionsMerge feature branch into devNow that the converter has no more bugs, we want to merge our branch feature into the dev branch.
We will do a pull request (on your own repo). On GitHub, go to the "Pull requests tab" and click "New pull request".
Selectbaseandcompare. Remember : we want to mergedecimal-binary-converterintodev.
Then,Create the pull request. Add some description of the work you have done and publish the Pull Request.Note: We could have just mergedecimal-binary-converterintodevfrom the command line. However, when working on a real project, you probably won't have the rights to do so. Remember : dev is a public branch. So all the work going down there should be carefully reviewed and tested.Publish your workWe now have an awesome binary/decimal two ways converter ! It's time to publish it so the rest of the world can enjoy it !
We will publish it on PyPI (Python Package Index) which is a public repository of softwares for Python.First, you have to create an account onPypi.orgThen, in your repository, you will find a.github directoryInside this directory, you will find .yml files that defines workflows (using GitHub actions)Open the yml files and take time to understand them. Do not hesitate to ask the teacher about themHands on !We want to create a workflow that will, on publish, test our code and if tests succeed, then publish our package on PyPIIn GitHub, click on theActionstab, then click onnew workflowChoose among the suggestions the template that best suits your use-case and clickConfigureYou may find some useful informations in thePython documentationWhen creating a release on GitHub, do not forget to create a tag corresponding to that releasePull requestOnce the workflow is setup and tested (you have published your package using it) you can open a pull request to theoriginal repository
Package: package-name-1
package_nameDescription.
The package image_processing_01 is used to:
Processing:
-Histogram matching
-Structural similarity
-Resize image
Utils
-Read image
-Save image
-Plot image
-Plot result
-Plot histogramInstallationUse the package managerpipto install package_namepipinstallimage_processing_01AuthorRafaelLicenseMIT
Package: package-name-cod
package_name_codDescription.
The package package_name_cod to:
-Processing:
- Histogram matching
- Structural Similarity
- Resize image-Utils:
	- Read Image
	- Save ImageInstallationUse the package managerpipto install package_name_codpipinstallpackage_name_codUsagefrompackage_name_cod.processamentoimportcombinacaofrompackage_name_cod.processamentoimporttransformacaofrompackage_name_cod.utilsimportiocombinacao.my_function()transformacao.my_function()io.my_function()AuthorCodrixLicenseMIT
Package: package-name-exporter
Package name exporterThis python package will let you export your installed packages to txt, pdf and xls format.
This package is the advanced version of thepipfreeze>requirements.txtInstallationInstall this package from pypi.orgpipinstallpackage-name-exporterclone this repo and runpythonsetup.pyinstallUsageThis library helps you to export the installed packages into txt, xls and pdf formatpdf formatfrompackage_name_exporter.exporterimportPackageNameExportermy_class=PackageNameExporter()my_class.get_packages_list('pdf','filename.pdf')xls formatfrompackage_name_exporter.exporterimportPackageNameExportermy_class=PackageNameExporter()my_class.get_packages_list('xls','filename.xls')txt formatfrompackage_name_exporter.exporterimportPackageNameExportermy_class=PackageNameExporter()my_class.get_packages_list('txt','filename.txt')
Package: package-name-iurywmp
package_nameDescription.
The package package_name_iurywmp is used to:
- Be a file test;
- And check whether the commands lines work properlyInstallationUse the package managerpipto install package_namepipinstallpackage_name_iurywmpUsagefrompackage_name_iurywmpimportfile1_namefile1_name.my_function()AuthoriurywmpLicenseMIT
Package: packagename-jarne
Python-sphinx-documentationTemplate to document code with sphinx.
install packagepip install packagename_jarneCreate documentationUpdate files to fit the new packageChangepackagename_jarneto the new packagenameChange version inpackagename_jarne/versionUpdatesetup.pyUpdate sources for Sphinxdocs/source/conf.pyrst filesInstall package with condaconda env create -f environment.ymlMake documentationconda env create -f environment_build.yml; conda activate conda-env-name-build;cd docs;make html;cd ..make htmlalternativesmake helpAdd new python filesAdd files in package folderpackagename_jarne(or the new name)Add links to the python files indocs/source/MakeDocumentation(see above)Upload to pipy requirementsaddPYPI_TOKENto github secrets
Package: package-name-to-install-with
Learn Python PackagingCreate Python PackageBuild WheelRelease WheelSetup Github ActionsHost DocumentationHypotheses TestingPydantic ValidationSupport ExpressionsBump WorkflowTools UsedDevelopmentcodespellNoxnumpydocpre-commitRuffFormattingautoflakeBlackblacken-docsdocformatterisortpyproject-fmtpyupgradeLintingBanditFlake8interrogateMypypydocstylePylintPyright for Pythonvalidate-pyprojectVultureTestingCoverage.pyHypothesispytestDocumentationFuroRead the DocsSphinxsphinx-copybutton