Saravanan666/pypi-org huggingface dataset:
Package: imioweb.theme
Actuel theme for the new IMIO website.PreviewInstallation du packageDévelopper le buildout et ses dépendances::$ make build-devou::$ virtualenv-2.7 .
$ bin/pip install -I -r requirements.txt
$ ln -s dev.cfg buildout.cfg
$ bin/buildoutLancer l’instance::$ bin/instance fgInstaller le packageAller surhttp://localhost:8080/Créer un nouveau site plone[Aller dans le control panel section “Modules”](http://localhost:8080/Plone/prefs_install_products_form)Installer “imioweb.theme”Ajouter le contenu d’exemple[Aller dans le control panel section “Modules”](http://localhost:8080/Plone/prefs_install_products_form)Ajouter “affinitic.demo.content” dans les dépendances et l’installerLe theme Classic est installé!ContributorsBenoit Suttor,benoit.suttor@imio.beChangelog1.0b8 (2020-02-12)Split less in diffents files for more structur
[thomlamb]Style for imioweb
[thomlamb]1.0b7 (2020-02-11)Add styles for imioweb (theme.less)
[tlamb]Add rules to custom favicon.
[tlamb]1.0b6 (2020-02-10)Add styles for imioweb (theme.less)
[tlamb]Release for view layout in preprod
[tlamb]Fix 404 for ‘Roboto’ font. Adding Roboto folder with .woff inside imioweb.theme less to fix
[tlamb]1.0b5 (2020-02-07)Add styles for imioweb (theme.less)
[tlamb]Add grunt to compile less.
[tlamb]Custom less slider
[tlamb]1.0b4 (2020-02-06)Add images in assets folder
[tlamb]Add styles for imioweb (theme.less)
[tlamb]1.0b3 (2020-01-10)Add base imioweb.less file (custom.less is used for TTW modifications)
[laulaz]1.0b2 (2020-01-08)Fix barceloneta LESS files path
[laulaz]1.0b1 (2019-12-11)Initial release.
[bsuttor]
Package: imio.ws.register
Tell me what your product doesFeaturesCan be bullet pointsExamplesThis add-on can be seen in action at the following sites:
- Is there a page on the internet where everybody can see the features?DocumentationFull documentation for end users can be found in the “docs” folder, and is also available online athttp://docs.plone.org/foo/barTranslationsThis product has been translated intoKlingon (thanks, K’Plai)InstallationInstall imio.ws.register by adding it to your buildout:[buildout]

...

eggs =
    imio.ws.registerand then runningbin/buildoutContributeIssue Tracker:https://github.com/collective/imio.ws.register/issuesSource Code:https://github.com/collective/imio.ws.registerDocumentation:https://docs.plone.org/foo/barSupportIf you are having issues, please let us know.
We have a mailing list located at:project@example.comLicenseThe project is licensed under the GPLv2.ContributorsMartin Peeters [Affinitic], Original authorChangelog1.0a4 (2020-07-22)Avoid an error when middleware response can not be handled
[mpeeters]1.0a3 (2020-06-18)Fix an issue with route update
[mpeeters]1.0a2 (2019-06-25)Improve route registration by handling url updates
[mpeeters]Add package tests
[mpeeters]1.0a1 (2018-12-04)Initial release.
[mpeeters]
Package: imio.zamqp.core
ContentsIntroductionChangelog0.9 (2024-02-12)0.8 (2024-02-12)0.7 (2022-10-28)0.6 (2021-04-21)0.5 (2019-09-24)0.4 (2018-01-22)0.3 (2017-12-18)0.2 (2017-11-27)0.1 (2017-06-01)IntroductionGeneric methods to use amqpChangelog0.9 (2024-02-12)Raised a ValueError inutils.next_scan_idwhen found highest id doesn’t start with scan_type parameter.
[sgeulette]0.8 (2024-02-12)Improvedutils.next_scan_idto check if found highest id starts well with scan_type parameter.
[sgeulette]Added gh actions for tests.
[sgeulette]0.7 (2022-10-28)Corrected parameter typo inutils.next_scan_idandutils.scan_id_barcode.
Added sphinx compliant doc strings.
[sgeulette]0.6 (2021-04-21)Inutils.highest_scan_id, avoid 2returnfor lisibility.
[gbastien]0.5 (2019-09-24)Skip empty scan_id in highest_scan_id method.
[sgeulette]0.4 (2018-01-22)Corrected unused parameters in consume function.
[sgeulette]Corrected method not called => made a property.
[sgeulette]Handle several portal types in search. Take the first one for creation
[sgeulette]0.3 (2017-12-18)Removedcommitmethod that tried to manage retry of failing commits,
queuing does not manage order, this will be managed another way when necessary.
[gbastien]Added methodconsumethat is the default method called by consumers to
consume a message using thecreate_or_updatemethod.
[gbastien]0.2 (2017-11-27)Added possibility to handle several portal_types in methodsutils.highest_scan_id,utils.next_scan_idandutils.scan_id_barcode.
[gbastien]Inutils.highest_scan_id, do the portal_catalog search unrestricted so we
are sure that every elements are found.
[gbastien]Make it possible to use a different portal_type for query or creation.  This
is useful if consumer.file_portal_type returns several portal_types, we need
to know which of the returned portal_types we need to use for file creation.
[gbastien]0.1 (2017-06-01)Some improvements
[sgeulette]Initial release, inspired from imio.dms.amqp.
[gbastien]
Package: imitater
ImitaterA unified language model server built uponvllmandinfinity.UsageInstallpipinstall-UimitaterLaunch Serverpython-mimitater.service.app-cconfig/example.yamlShow configuration instruction.Add an OpenAI model-name:OpenAI model name-token:OpenAI tokenAdd a chat model-name:Display name-path:Model name on hub or local model path-device:Device IDs-port:Port ID-maxlen:Maximum model length (optional)-agent_type:Agent type (optional) {react, aligned}-template:Template jinja file (optional)-gen_config:Generation config folder (optional)Add an embedding model-name:Display name-path:Model name on hub or local model path-device:Device IDs (does not support multi-gpus)-port:Port ID-batch_size:Batch size (optional)[!NOTE]Chat templateis required for the chat models.Useexport USE_MODELSCOPE_HUB=1to download model from modelscope.Test Serverpythontests/test_openai.py-cconfig/example.yamlRoadmapResponse choices.Rerank model support.
Package: iMIX
Project descriptionInspur Multimodal Artificial Intelligence Framework (iMIX) is an open source multi-modal model building toolbox.The master branch works based on PyTorch.Documentation:https://imix-docs.readthedocs.io/en/latest/Github repository:https://github.com/inspur-hsslab/iMIXNote: when use pip to install imix, ifNo matching distribution found for some dependent libraryhappens, you candownloadrequirements.txtin the github repository above;runpip install -r requirements.txt;use pip to install imix.
Package: im-jenkins-utils
Theim-jenkins-utilsmodule is a set of utilities employed byInformatics Mattersfor automated configuration of the Jenkins CI/CD
platform. It is a small library that currently simplifies the creation of Jobs,
secrets and other actions usingpython-jenkinsand cURL.It also includes a growing list of convenient wrapper functions to simplify
a number of tasks, like checking whether any jobs have failed
(or are unstable).Typical use of the utilities relies on creating anImJenkinsServerobject
by providing a suitably formatted URL:from im_jenkins_server import ImJenkinsServer
j_server = ImJenkinsServer(url)Theurlvalue is typically of the formhttps://<user>:<token>@<url>.With this object you can then create a global text secret:if j_server.is_connected():
    j_server.set_secret_text('mySecretId', 'The Secret Text')ImJenkinsServerprovides the following methods: -set_secret_text()set_secret_file()set_secret_user()get_jobs()set_jobs()get_views()set_views()check_jobs()ConfigurationYou can provide configuration in a Python ConfigParser-style file.At the moment this is used to provide a list of Jenkins Jobs that are excluded
during thecheck_jobs()method. If there are Jobs that can fail, that
you’re not interested in, then you can provide their names via a configuration
file.To exclude JobsBuild (Experiment)andRun (Experiment)you can provide
their names in thechecksectionusing theexclude-jobkey:[check]
exclude-job: Build (Experiment)
    Run (Experiment)And then pass the name and path of the configuration file to the server
object:j_server = ImJenkinsServer(url, 'config.ini')Jobs are assumed to be tolerant of case and the Job names are checked
while ignoring the name case.
Package: imjoy
ImJoy Plugin EngineThe plugin engine used for running python plugins in ImJoy (https://imjoy.io).This library is mainly based on jupyter notebook server, with additional libraries and convenient settings.InstallationIf you don't have a conda environment, download and installMiniconda with Python 3.7(orAnaconda with Python 3.7if you prefer a full installation).Start aTerminal(Mac and Linux) orAnaconda Prompt(Windows), then run the following command:pip install -U imjoy[jupyter]The above command will also install jupyter notebook andimjoy-elfinder.If you encountered any error related togitorpip, try to run :conda install -y git pipbefore the above command. (Otherwise, please checkFAQs.)UsageTo use it after the installation:Runimjoy --jupytercommand in aTerminalorAnaconda Prompt, and keep the window running. You will get a link that looks likehttp://localhost:8888/?token=caac2d7f2e8e0...ad871fefrom the terminal, please copy it for the next step.Go tohttps://imjoy.io, click the 🚀 icon located in the upper-right corner, selectAdd Jupyter-Engineand paste the link you got previously, and connect to the plugin engine. Once connected, you can start to run python plugins through the plugin engine.Please note that if you are trying to use the ImJoy Plugin Engine running on a remote server, please use the ImJoy web App served on your server (http://YOUR_REMOTE_IP:9527) instead ofhttps://imjoy.io. This is because most browsers do not allow a web application served throughhttpsto connect to an unsecured server (your remote server). Alternatively, you can use a proxy to enablehttpsfor the plugin engine. Then you will be able to use it withhttps://imjoy.io.Connecting to a ImJoy Engine Serverimportwebbrowserfromimjoy_rpcimportconnect_to_server,launch_plugindefnew_client_join(ws):viewer=awaitws.createWindow(src="https://kaibu.org")asyncdefmain():api=awaitconnect_to_server(server_url="https://api.imjoy.io/")api.on('join',new_client_join)tk=awaitapi.generate_token()name=api.config['name']token=tk['token']url=f"https://imjoy.io/lite?server_url=https://api.imjoy.io&token={token}&name={name}"print(url)webbrowser.open(url)More details and FAQs inDocsRoadmapYou can track the progress of the project here:https://github.com/imjoy-team/ImJoy/projects/2IssuesPlease submit your bug report or feature request toImJoy/issuesDevelopmentWe useblackfor code formatting.git clone git@github.com:imjoy-team/ImJoy-Engine.git
  # Enter directory.
  cd ImJoy-Engine
  # Install all development requirements and package in development mode.
  pip3 install -r requirements_dev.txtRuntoxto run all tests and lint, including checking thatblackdoesn't change any files.
Package: imjoy-elfinder
ImJoy elFinderA web file browser for managing data on remote jupyter servers, specifically built for theImJoyproject, an open source platform for deploying computational tools to the end user.The frontend is built withelFinderand a Python backend server.What is elFinderelFinder is an open-source file manager for web, written in JavaScript using jQuery and jQuery UI,the projectis maintained byStudio 42.Try their online demo here.InstallationPython 3.7+ is required.pipinstall-Uimjoy-elfinderBasic UsageIn your terminal, run the following command:imjoy-elfinder--thumbnail(The thumbnail option enables thumbnail for images, it will create a folder named.tmbunder your current folder, you can also disable that by remove the--thumbnailoption.)You will then see the following message:==========ImJoyelFinderserverisrunning=========http://127.0.0.1:8765Depending on where you started the command, the file browser will show your current folder as root directory or HOME.In order to browse your own directory, you can manually set the root directory by passing--root-dir=/PATH/TO/MY/FOLDER.Use it with remote Jupyter notebook serverIf you don't have jupyter notebook, run:pipinstall-UjupyterNext, install ImJoy elFinder with jupyter server proxy extension:pipinstall-Uimjoy-elfinder[jupyter]Now start Jupyter notebook as you would do normally, for example:jupyternotebook--ip=0.0.0.0You will get a web file browser athttp://YOUR_NOTEBOOK_URL/elfinder(depending on what you get from your notebook, for example, the url can behttp://localhost:8000/elfinder).Start a demo with MyBinderStart an instance on MyBinder:https://mybinder.org/v2/gh/imjoy-team/imjoy-elfinder/master?urlpath=elfinderYou should be able to see a file browser.Security ConsiderationsPlease be aware that there is potential risk to use ImJoy elFinder locally or remotely over the internet.Here are some suggestions:Try to set root-dir to a folder containing the files you actually need, as minimal as possible, avoid exposing the entire file system.For remote servers, use it via the Jupyter proxy such that the access will be protected by jupyter token or password. also, do not turn off the authentication in Jupyter.For running it locally, we use allow-origin header (CORS) to protect access from a random website, for that to work, please use a modern browser and keep it updated.Update ImJoy elFinder regularly with 'pip install -U imjoy-elfinder', in case there is security updates.DevelopmentFor developers, you can enable hot reloading by usinghupper:hupper-mimjoy_elfinderInstall all development requirements with:pipinstall-rrequirements_dev.txtYou can also watch additional files by add-w(e.g.:hupper -m imjoy_elfinder -w imjoy_elfinder/templates/elfinder/main.js)LicenseMIT
Package: imjoy-jupyterlab-extension
imjoy-jupyterlab-extensionRun ImJoy plugins in JupyterLabRequirementsJupyterLab >= 3.0Installpipinstallimjoy-jupyterlab-extensionContributingDevelopment installNote: You will need NodeJS to build the extension package.Thejlpmcommand is JupyterLab's pinned version ofyarnthat is installed with JupyterLab. You may useyarnornpmin lieu ofjlpmbelow.# Clone the repo to your local environment# Change directory to the imjoy-jupyterlab-extension directory# Install package in development modepipinstall-e.# Link your development version of the extension with JupyterLabjupyterlabextensiondevelop.--overwrite# Rebuild extension Typescript source after making changesjlpmrunbuildYou can watch the source directory and run JupyterLab at the same time in different terminals to watch for changes in the extension's source and automatically rebuild the extension.# Watch the source directory in one terminal, automatically rebuilding when neededjlpmrunwatch# Run JupyterLab in another terminaljupyterlabWith the watch command running, every saved change will immediately be built locally and available in your running JupyterLab. Refresh JupyterLab to load the change in your browser (you may need to wait several seconds for the extension to be rebuilt).By default, thejlpm run buildcommand generates the source maps for this extension to make it easier to debug using the browser dev tools. To also generate source maps for the JupyterLab core extensions, you can run the following command:jupyterlabbuild--minimize=FalseUninstallpipuninstallimjoy-jupyterlab-extensionNotenpm run watch:labextensionpip install jupyter_packaging
npm run install:extension
jupyter labPublishThe setup.py script will rebuild the static files, therefore run:sh publish.sh
Package: imjoy-utils
ImJoy UtilsUtility module for ImJoy in PythonDevelopmentInstall and set up development environment.pipinstall-rrequirements_dev.txtThis will install all requirements.
It will also install this package in development mode, so that code changes are applied immediately without reinstall necessary.Here's a list of development tools we use.blackflake8mypypydocstylepylintpytesttoxIt's recommended to use the corresponding code formatter and linters also in your code editor to get instant feedback. A popular editor that can do this isvscode.Run all tests, check formatting and linting.toxRun a single tox environment.tox-elintReinstall all tox environments.tox-rRun pytest and all tests.pytestRun pytest and calculate coverage for the package.pytest--cov-reportterm-missing--cov=imjoy_utilsContinuous integration is by default supported viaGitHub actions. GitHub actions is free for public repositories and comes with 2000 free Ubuntu build minutes per month for private repositories.
Package: imkin
Lightweight a movie and TV series data parser like title, alternate title, release date, runtime, age rating and episode titles for TV series from imdb.com and kinopoisk.ru without using third-party packages. Wget will be used for the kinopoisk parser, so Linux like only.Install:pip install imkinExamples:import imkin

film = imkin.new('https://www.imdb.com/title/tt0068646/')

print(film.title)

print(film.alternate)

print(film.year)

print(film.time)

print(film.age)

print(film.url)


film = imkin.new('https://www.imdb.com/title/tt2356777/')

print(film)

print(film.s(1).ep(1))


result = imkin.search('Fargo')

print(result)
Package: i-ML
iML (innovata Machine Learning)NLTKKoNLPy (https://pypi.org/project/konlpy/)설치 pakages : JPype1-0.6.3 konlpy-0.5.1사전작업ROOT_PATH 를 OS-환경변수로 수동으로 저장.
: export ROOT_PATH=your_root_path임시방편 작업 (PyPI 패키지 정식 등록 전)LIB_PATH 를 OS-환경변수로 수동으로 저장.
: export LIB_PATH=~/libs
Package: imlazy-photo
imlazy_photo사진파일을 날짜별로 폴더를 만들어 정리하는 일이 귀찮아서 만들었음.사용법pip install imlazy-photo사진이 들어있는 폴더에 들어 간다.python -m imlazy_photoYYYYMMDD형식으로 폴더가 만들어지고 날짜에 해당하는 사진들을 넣어줌.
Package: imline
ImLinethe image marking and angular face map creating software.Supported EnvironmentsOperating systemsLinuxPython versionsPython 3.x (64-bit)DistrosUbuntuPackage managersAPT, pipLanguagesEnglishInstallationClone the GitHub repository and runsudo./install.shin the repository directory.for development mode:sudo ./install-dev.shIf there is a failure trysudo -H ./install-dev.shUsageusage: imline [-h] [--ripe-dataset RIPE_DATASET]
              [--environment {production,development,testing}] [-v]
              [--version]
              {multiply-dataset,mark-object,mark-key-points,create-dataset,create-maps}
              ...

positional arguments:
  {multiply-dataset,mark-object,mark-key-points,create-dataset,create-maps}
                        officiate the sub-jobs
    multiply-dataset    Mark found objects of the given images to the ImLine.
    mark-object         Mark found objects of the given images to the ImLine.
    mark-key-points     Mark key-points of the given images to the ImLine.
    create-dataset      Create a dataset that become images that fetched from
                        Google with given `query` parameter
    create-maps         Create maps via key-points of the given images to the
                        ImLine.

optional arguments:
  -h, --help            show this help message and exit

Others:
  --ripe-dataset RIPE_DATASET
                        Images folder that keeps already marked images and
                        their key-points"s JSON data.
  --environment {production,development,testing}
                        The running environment. It specify the configuration
                        files and logs. To use: either `production`,
                        `development` or `testing`. Default is production
  -v, --verbose         Print various debugging logs to console for debug
                        problems
  --version             Display the version number of ImLine.Supported Distributions:Linux Mint. This release is fully supported. Any other Debian based distributions are partially supported.ContributeIf you want to contribute to T_System then please readthis guide.
Package: imlo
Имло лойиҳасининг асосий қисми Python кутубхонасиМуҳитPython>=3.7КутубхоналарNLTKGensimSpacyHunSpellПакетни ўрнатиш$pipinstallimloНамунаfromimlo.transliterationimportlat2cyr,cyr2lat...text=lat2cyr('salom dunyo')print(text)Тест қилиш тартиби$python-munittestҲисса қўшишPull 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.ЛицензияGPL-3.0
Package: imlresi
imlresiTools for dealing withIML-Resi PowerDrilldata using python.THIS PACKAGE IS UNOFFICAL AND HAS BEEN DEVELOPED INDEPENDENT OF IMLCurrent limitations:Focus is on actual measurements made by the tool rather than meta-info.Poor support for data generated in PD-Tools (e.g. "assessments").Installhttps://pypi.org/project/imlresi/pipinstallimlresiUsefromimlresi.traceimportTracetr=Trace()tr.read('trace.rgp')tr.to_json()
Package: immagine
Image viewer for Linux with directory thumbnails and a focus on the browsing
experienceStatusThis software is under development. It can be used already, despite not being
feature complete. The user should expect bugs and misbehaviours here and there.
Use at your own risk! Contributions are welcome.Design considerationsBelow is a list of design considerations behind this project:Thumbnails are the most important feature while browsing a directory of
images. All screen space should be used for thumbnails. Little screen space
should be left unused.File names are typically uninteresting while browsing a directory of images.
There is no need to waste screen space for them.Subdirectories should be thumbnailed as well. A directory thumbnail should
be composed from the thumbnails of some representative images in it.The user should be given an opportunity of choosing the images used to
compose the directory thumbnails.It may be desirable to show the names of subdirectories.Design choicesOnly Linux distros are targetted. No support for Windows or Mac OS is
contemplated.The image viewer is written in Python and PyGTK is used for the GUI.
Package: imm-apps
ModulesserverAPIapi: For all API modulesmodulesbcpnp: BCPNP applicationslmia: LMIA applicationspr: PR applicationstr: TR applicationssystemdata: all excel, pdf,word templates, etc...  used by the systemdoc: docs, but did not do it so farsystem: config and models indexclientclient: apps used in terminal with http accessing to apilocal: apps used in terminal with local accessing to modulessourcesource: excel appbasemodels: all fundemental modelsutilstesttests: test apps
Package: imm-base
ModulesserverAPIapi: For all API modulesmodulesbcpnp: BCPNP applicationslmia: LMIA applicationspr: PR applicationstr: TR applicationssystemdata: all excel, pdf,word templates, etc...  used by the systemdoc: docs, but did not do it so farsystem: config and models indexclientclient: apps used in terminal with http accessing to apilocal: apps used in terminal with local accessing to modulessourcesource: excel appbasemodels: all fundemental modelsutilstesttests: test apps
Package: imm-case
V1.0.13pr: can generate 0008, 5406,5562,5669 excel sheets according to modelslmia: added functions for generate excels for periods of assess, job post, and recruitment summary.V1.0.5bcpnp: generate company info, employer recommendation letter, employer training, employee training, job description, job offer form xml and rep form xml.exp: experience related doc auto generate: resume, employment certificatetrv: read 5257,1294,1295,5708,5709,5710,and 5645recruit: generate job ad, job offer, and recruitment summarylmia: generate submission letter, employer training, employee trainingV1.0.3excel: add function. Now can add any number of excels instead of only 2. sub function is samelmia: submission letter, employer training, employee traning for 5593 5626 5627bcpnp: employer recommendation letter, company info, employer/employee training, job description auto doc makersjob: job ad, job offer, employment certificate, resume for autodoc makers