Saravanan666/pypi-org huggingface dataset:
Package: geniusrise-vision
AI EcosystemDocumentation||Examples||CloudAboutGeniusriseis a modular, loosely-coupled
MLOps framework designed for the era of Large Language Models,
offering flexibility and standardization in designing networks of
AI agents.It defines components and orchestrates them providing observability, state management and data handling,
all while supporting diverse infrastructures. With its modular and unopinonated architecture,Geniusriseempowers teams to build, share,
and deploy AI across various platforms.Geniusrise is powered by its components:geniusrise-text: Text components offerring:Inference APIsBulk inferenceFine-tuninggeniusrise-audio: Audio components offerring:Inference APIsBulk inferenceFine-tuninggeniusrise-vision: Vision components offerring:Inference APIsBulk inferenceFine-tuninggeniusrise-listeners: Streaming data ingestiongeniusrise-databases: Bulk data ingestionLinksWebsite:geniusrise.aiDocs:docs.geniusrise.aiExamples:geniusrise/examplesCloud:geniusrise.comVision ComponentsThese are vision components, mainly focused around models of the vision modality (either input or output).
Package: geniverse
The Geniverse APIOpen source library to access and utilize generative AI models.InstallpipinstallgeniverseUsageWith this example we can generate"a genierative universe"usingVQGAN. The result is a list of PIL images. Docs will be released soon :)fromgeniverse.modelsimportTamingDecodertaming_decoder=TamingDecoder()image_list=taming_decoder.generate_from_prompt("a generative universe")For now you can generate images from text prompts, interpolate and create infinite zooms with your results. More examples soon :)ModelsSo far we have adapted to our pipeline the following models:VQGANAphantasiaMini-Dalle
Package: genja
GenjaGenja is a simple static site generator for GitHub Pages. It is a command line tool built in Python that generates HTML files and a JSON feed from Markdown content.InstallationDownload and install Python frompython.orgor fromAnaconda. Next, install genja fromPyPIusing the following command:pip install genjaCheck the installed version from the command line:genja --versionUsageBefore running genja, create a project structure as shown below. Thecontentdirectory contains Markdown files that are used to generate HTML files. Thetemplatesdirectory containsJinjatemplates that are used to render the HTML pages. Thedocsdirectory contains the built website which can be hosted with GitHub Pages. Lastly, theconfig.jsondefines the URLs and directories for the project.mywebsite/
|- content/
|- templates/
|- docs/
|- config.jsonThe items in theconfig.jsonare shown below. Thebase_urlis the URL for the homepage of the website. Markdown files that are parsed by genja are located in theinput_dirdirectory. The HTML files generated from genja are located in theoutput_dirdirectory. Static content such as images and CSS files should go in the output directory.{"base_url":"https://example.com/mywebsite","input_dir":"content","output_dir":"docs"}Use the serve command to build the website and start a local server. This will automatically open the default web browser to view the website. The website will automatically reload when changes are saved to the Markdown files.genja serveUse the build command to build the website without running a local server.genja buildExampleTo run the example, go to theexampledirectory in this repository. Themdcontentfolder is the input directory containing the Mardkown files. Thewebsitefolder is the output directory containing the built HTML files. Use the commands shown below to build the website and run a local server to view the website in the default web browser. The website will automatically reload in the web browser when changes are saved to the Markdown files.cd example
genja serveUse the commands shown below to build the example website without starting a local server.cd example
genja buildContributingClone this repository and use the conda environment file to create a Python environment for developing genja. This environment usesrufffor linting and formatting along withpytestfor running tests. Genja is installed in editable mode within the environment.# Clone this projectgitclonehttps://github.com/wigging/genja.git# Create the conda environmentcdgenja
condaenvcreate--fileenvironment.yml# Activate the conda environmentcondaactivategenjaSupportSupport this project by using the:heart: Sponsorbutton at the top of this page. Thank you :smile:.LicenseThis project is licensed under the terms of the MIT license. Seeherefor the license text.
Package: genjuice
GenJuiceA lightweight, component-based HTML builder.fromgenjuiceimportComponentfromgenjuice.componentsimportButtonclassFancyButton(Component):defrender(self):returnButton("Hello, world!").attr(onclick="alert(1)").render()>>>FancyButton().render()"""<button onclick="alert(1)">Hello, world!</button>"""InstallationGenJuice isn't quite ready for production yet. Feel free to mess around with it though :)pip3 install genjuiceWhy GenJuice?The core functionality (Component.render()) is 20 lines longOn average, it's 2.2x faster than its counterparts (HTML builders/template engines such as Jinja)You write your UI code in 100% PythonA modern, intuitive API...and much more to come!LicenseMIT
Package: genjwtkey
genjwtkeyThis package is a generator of assertion key pair for LINE Bot.このパッケージは、LINEボットで利用可能な、アサーション用のキーペアを生成します。RequirementsYou need to install rust, because cryptography packages needs rust to build its own.cryptographyパッケージの利用に、Rustのインストールが必要です。installationpip install genjwtkeyquick startpython -m genjwtkeyTwo file outputs./publick_key.json./private_key.json
Package: gen-kernel-module
Generating Kernel Modulesgen_kernel_moduleis tool for generation Linux Kernel Module project.Developed inpythoncode:100%.The README is used to introduce the modules and provide instructions on
how to install the modules, any machine dependencies it may have and any
other information that should be provided before the modules are installed.Table of ContentsInstallationInstall using pipInstall using buildInstall using py setupInstall using dockerDependenciesTool structureDocsContributingCopyright and licenceInstallationUsed next development environmentCurrently there are three ways to install packageInstall process based on using pip mechanismInstall process based on build mechanismInstall process based on setup.py mechanismInstall process based on docker mechanismInstall using pipPython package is located atpypi.org.You can install by using pip# python3pip3installgen-kernel-moduleInstall using buildNavigate to releasepagedownload and extract release archive.To installgen_kernel_moduletype the followingtarxvzfgen_kernel_module-x.y.z.tar.gzcdgen_kernel_module-x.y.z/# python3wgethttps://bootstrap.pypa.io/get-pip.py
python3get-pip.pypython3-mpipinstall--upgradesetuptools
python3-mpipinstall--upgradepip
python3-mpipinstall--upgradebuild
pip3install-rrequirements.txt
python3-mbuild--no-isolation--wheel
pip3install./dist/gen_kernel_module-*-py3-none-any.whl
rm-fget-pip.py
chmod755/usr/local/lib/python3.10/dist-packages/usr/local/bin/gen_kernel_module_run.py
ln-s/usr/local/lib/python3.10/dist-packages/usr/local/bin/gen_kernel_module_run.py/usr/local/bin/gen_kernel_module_run.pyInstall using py setupNavigate to releasepagedownload and extract release archive.To installgen_kernel_modulelocate and run setup.py with argumentstar xvzf gen_kernel_module-x.y.z.tar.gz
cd gen_kernel_module-x.y.z/
# python3
pip3 install -r requirements.txt
python3 setup.py install_lib
python3 setup.py install_data
python3 setup.py install_egg_infoInstall using dockerYou can use Dockerfile to create image/container.Dependenciesgen_kernel_modulerequires next modules and librariesats-utilities - Python App/Tool/Script UtilitiesTool structuregen_kernel_moduleis based on OOP.Generator structuregen_kernel_module/├──conf/│├──gen_kernel_module.cfg│├──gen_kernel_module.logo│├──gen_kernel_module_util.cfg│├──project.yaml│└──template/│├──block/││├──lkm.template││├──Makefile.template││└──test.template│├──char/││├──lkm.template││├──Makefile.template││└──test.template│├──net/││├──lkm.template││├──Makefile.template││└──test.template│└──vma/│├──lkm.template│├──Makefile.template│└──test.template├──__init__.py├──lkm/│├──__init__.py│├──read_template.py│└──write_template.py├──log/│└──gen_kernel_module.log└──run/└──gen_kernel_module_run.py10directories,22filesDocsMore documentation and info atgen_kernel_module.readthedocs.iowww.python.orgCopyright and licenceCopyright (C) 2017 - 2024 byvroncevic.github.io/gen_kernel_modulegen_kernel_moduleis free software; you can redistribute it and/or modify
it under the same terms as Python itself, either Python version 3.x or,
at your option, any later version of Python 3 you may have available.Lets help and support PSF.
Package: genki-signals
Genki SignalsGenki signals is a library to do real time signal processing and machine learning on sensor data. Using this library you
can connect devices and stream data from them, and create processing pipelines to process the data. You can also
visualize all of this in real time, and record data and serialize the pipelines to disk.InstallationGenki Signals is available on PyPi and can be installed using pip:pipinstallgenki-signalsUsageGenki Signals is designed to work in Jupyter notebooks. You can find some examples in theexamplesfolder.
Package: genki-wave
Wave by GenkiWaveis a unique smart ring manufactured and maintained byGenki.
This repository contains the official Python API interface forWave, arguably the easiest way to work with data from motion sensors in Python.The API provides access to Wave's onboard sensor data, as well as processed motion data using proprietary
algorithms in an accessible form factor.For more details, please refer to thetechnical documentation.InstallationThis package has been tested withpython 3.8on both macOS and Linux. Installation is straight forward.python-mpipinstallgenki-waveNote thatbluezis a requirement on Linux-based systems.Setting up the Wave ringMake sure you've installed the latest firmware on your Wave by followingthese instructions.To turn Wave on press the middle button, to turn it off hold the top and bottom buttons
down for one second.Refer to thetechnical documentationfor a detailed overview of how to use and interface with the API.QuickstartGeneralTurn Wave on and make sure it is not connected. To find the Bluetooth address of the nearest Wave, run the followingfromgenki_wave.discoverimportrun_discover_bluetoothrun_discover_bluetooth()And the following example uses a callback that prints out which button has been pressed, along with the sensor reading
every 5 seconds.fromgenki_wave.asyncio_runnerimportrun_asyncio_bluetoothfromgenki_wave.callbacksimportButtonAndDataPrintcallbacks=[ButtonAndDataPrint(print_data_every_n_seconds=5)]ble_address=""# Address of the Wave ring, found in the previous steprun_asyncio_bluetooth(callbacks,ble_address)Further examples are in theexamplesfolder.MIDIThe simples way to start is connecting Wave as a BLE MIDI device and runningexamples/run_midi.py.
This example only depends onpygameand allows you to receive data from Wave instandalone mode.Known issuesbleakthe Python Bluetooth library, can only connect to devices that arenotconnected to the computer. After pairing Wave to a Linux machine Wave tends to connect automatically quite
aggressively and cannot be accessed via bleak. One solution is to usebluetoothctlto disconnect before pairing
withgenki-wave.Wave needs to be off and disconnected before receiving any data via the serial port.There is an error when you have Wave connected via Bluetooth and useasyncioto receive data.
If you kill the program, e.g., with a keyboard interrupt, Wave stays connected and has an invalid state.
For the time being you can hold the top button for a few seconds to properly exit the program.
Package: genki-widgets
genki-widgetsA custom plotting library using SciChartJSInstallationYou can install usingpip:pipinstallgenki_widgetsIf you are using Jupyter Notebook 5.2 or earlier, you may also need to enable
the nbextension:jupyternbextensionenable--py[--sys-prefix|--user|--system]genki_widgetsDevelopment InstallationCreate a dev environment:condacreate-ngenki_widgets-dev-cconda-forgenodejsyarnpythonjupyterlab
condaactivategenki_widgets-devInstall the python. This will also build the TS package.pipinstall-e".[test, examples]"When developing your extensions, you need to manually enable your extensions with the
notebook / lab frontend. For lab, this is done by the command:jupyter labextension develop --overwrite .
yarn run buildFor classic notebook, you need to run:jupyter nbextension install --sys-prefix --symlink --overwrite --py genki_widgets
jupyter nbextension enable --sys-prefix --py genki_widgetsNote that the--symlinkflag doesn't work on Windows, so you will here have to run
theinstallcommand every time that you rebuild your extension. For certain installations
you might also need another flag instead of--sys-prefix, but we won't cover the meaning
of those flags here.How to see your changesTypescript:If you use JupyterLab to develop then you 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 widget.# Watch the source directory in one terminal, automatically rebuilding when neededyarnrunwatch# Run JupyterLab in another terminaljupyterlabAfter a change wait for the build to finish and then refresh your browser and the changes should take effect.Python:If you make a change to the python code then you will need to restart the notebook kernel to have it take effect.Updating the versionTo update the version, install tbump and use it to bump the version.
By default it will also create a tag.pipinstalltbump
tbump<new-version>
Package: genlatex
Templating with LaTex and PythonThis year I'm trying to generate quizzes automatically to the degree possible.I've cooked up a templating scheme usingjijna2that works with LaTeX templates.Thisarticlewas very helpful.Now that this has been published to pypi you can simply:pip install genlatexOnce you have that, you can 'cd' to the directory with your template and data generator file and run getlatex using:genlatex [ options ] dataGeneratorFile.pyFor example to create 10 versions of the example you could:cd example

genlatex -n 10 tlo-EX-Data.pyThen check in the folder for your .tex files!To convert to pdf en-masse, with bash:find *.tex |  xargs -n 1 pdflatexIf your dataGeneratorFile needs to import any modules you should add '.' to the PYTHONPATH, e.g.,PYTHONPATH=. genlatex -n 10 tlo-EX-Data.pyThere is a shell script "buildZip.sh" that creates an importable .zip file that can be used to import quizzes into Sakai. It may also work for other LMS variations. Untested!Update: Now you can run the full docker (Dockerfile-w-latex) version:docker run --rm -it -v `pwd`:/work/src genlatex-full doExport.sh -n 10 tlo-EX-Data.pyOr the mini-docker (Dockerfile)docker run --rm -it -v `pwd`:/work/src genlatex buildTeXs.sh -n 10 tlo-EX-Data.pyto build the mini-docker (without a full LaTeX install ~1.4GB)docker build -t genlatex .to build the full docker build (with a full LaTeX install ~7GB)docker build -f Dockerfile-w-latex -t genlatex-full .CHANGES:v 0.12: Added units to formatters (e.g., latex_float(2.31, units="m"))

v 0.14: add units to latex_float and latex_vec, add some doc tests.

v 0.15: Changed the path handling to make it more Windows friendly.

v 0.16: Update README & other doc-strings

v 0.17: Add file path to items.xml so export.zip would contain individual filenames for students/instructors.

v 0.18: Possible breaking change. latex_float arguments are switching order, units first to save typing.
        Now you can type simply: latex_float(2.31,"m") and "m" will be units. If you want a different format
        then 'fmt' must be supplied as a *third* argument, or with a keyword, e.g. latex_float(2.234, fmt="{:0.2g}").

        Also, added a '-0' detector that should convert these to '0'.

v 0.19: Modified the attachment file paths so that Canvas would accept them. Unfortunately canvas does not
  	    support file upload questions in their current quiz tool.

v 0.20: Added eunit formatter to use "engineering" units.

v 0.24: Various changes, includeing command line variables in templates.

v 0.25: Force wheel in pypi
Package: genling
Generatrum LinguarumThis is a project to develop a Python library with which it is possible to generate a spoken constructed language, a conlang. In the library's current state, it is possible to program a word generator.In the generating process, weights and probabilities affect the usage of individual phonemes, usage of syllable segments, usage of syllables in the same position, the amount of syllables within a stem and the usage of rules. Simple or more complex Regex rules are used for filtering generated word stems (e.g. combinations of phonemes that are not permitted) and in converting a generated word/stem from a raw form (e.g. "<ge><hYo><uN><e><nu>") into a final form (e.g. "gehyōn'enu", "げひょうんえぬ", "gexyoungënu" or "гэхёунъэну").The title of this project is in Latin and translates to "Generator of Languages".RequirementsPython 3InstallationFrom the Python Package Index:pip install genlingOr download and run:python3 setup.py installExamplesExamples of using this library can be found in the git repository.Command line usage of the examples:python3 conlang.py 100
python3 conlang.py 100 raw

python3 japanese.py 100 hiragana
python3 japanese.py 100 hepburn
python3 japanese.py 100 strict
python3 japanese.py 100 raw
Package: gen-log-parser
gen_log_parserThis library contains a pyCLass that can be instantiated to create log objects "log_parser()"From the object various method can be used parse thru logs depending on the log format of the filev0.0.2 can be used to parse thru the following log formats:json formated logscustom formated nginx logNOTE:The nginx parser works with the following nginx log format:log_format new_default $remote_addr - $remote_user - $time_local - $request - $status - $body_bytes_sent - $http_referer - $http_user_agent - $http_x_forwarded_for;If the log format on the nginx server is modified, then the method from the object will not workThe class must be inherited and the nginx method must be modified to statisfy the log formatChange Log0.0.3 (28 Mar 2023)Fix typo's in README file0.0.2 (26 Mar 2023)First Release
Package: genluhn
Generalized Luhn algorithm to any numerical baseLuhn algorithm is described in Annex B ofISO/IEC 7812-1:2017. As it is described atLuhn's Wikipedia page, the algorithm is used to compute check digits and check them in identification numbers, like the usually found in credit card numbers. The standard algorithm uses 10 as numeric base for the check digit.But there are other scenarios, likenih URIs at IETF RFC 6920, where the numeric base of the check digit to be computed and validated is 16 (see examples atsection 8.2of RFC 6920).This library is just an implementation of the algorithm for any base. There are two methods,computeandvalidate, which take as first parameter either an integer, or a string representing the number in the base, or an array of integers, where the value of each position is the corresponding numeric digit.computemethod computes the check digit, meanwhilevalidatetakes the whole identification number, the numerical base and the check digit, and answers eitherTrueorFalse.genluhn.compute('5326-9057-e12f-e2b7-4ba0-7c89-2560-a2',16)# It return 15genluhn.validate('5326-9057-e12f-e2b7-4ba0-7c89-2560-a2',16,15)# It returns Truegenluhn.validate('5326-9057-e12f-e2b7-4ba0-7c89-2560-a2',16,14)# It returns FalseAccessory methods of this library areintToDigits,strToDigitsandbytesToDigits, which are used when either an integer, or a string or a byteslike object have to be translated to a list of digits in the given numerical base.
Package: genmake
genMakeDisclaimer:This is my first real Python project. I am not a Python developer, and the code is certainly not the cleanest. This project was developed according to my needs, and if you need more features I would be happy to integrate them if possible. I think it may be useful to others so I'll share it but without any guarantee.DescriptionThis project allows to generate a Makefile compatible with the rules of school 42. It also allows to update the name of the sources in a fully automated way.
The MakeFile works on C and CPP.Usagegenmake -h
usage: genmake [-h] [--version] [--remake]

optional arguments:
  -h, --help  show this help message and exit
  --version   show program's version number and exit
  --remake    Delete and reconstruct MakefileMakefileThe Makefile will support thelibftprintfandminilibxlibraries (standard to 42). There is also a DEBUG rule as well as norm.
The Makefile will use GCC on MacOS and clang-9 on LinuxUsage of makefilemake
make bonus
make BUILD=debug
make BUILD=valgrind
make re
make clean
make fclean
make libft
make minilibx
make normIf you use the Debug rule, the following parameters will be added during compilation :-DDEBUG -ggdb -fsanitize=address -fno-omit-frame-pointerThe valgrind rule is the same as above, but without fsanitizeInstallationTo install it just do :pip3 install genmakeor on 42 iMac :python3 -m pip install --user genmakeIf the command is not available even after installation, please check that$HOME/.local/binis in the PATH. If it is not the case you can add this to your.zshrc:export PATH=$HOME/.local/bin:$PATHor on 42 iMac MacOS :export PATH=$HOME/Library/Python/3.7/bin:$PATHUpgradeTo update, this command is enough:pip3 install genmake -Uor on 42 iMac :pip3 install --user --upgrade genmakeKnown problems :The code is not cleanMany parameters are hard-coded, it would be necessary to create a configuration file.You will tell me :DThanks to :Tart3mpionfor special supporttp0nsfor joy and amelioration ideaclbouchefor joy and special skill in communicationCcommissfor nothing but i appreciate youEliasAachachspecial thanks to you best bro ❤️
Package: genmax
GenmaxGenmax is a simple code generation tool.Key ComponentsProjectsGenmax organizes all files and content in projects. Every project has itown folder. Genmax projects can be created in any folder.FlowsGenmax projects have flows to group together multiple files to be generated. Flows are inymlformat.DataYou can pass data to templates that help generate data. For example, you can dynamically pass the name of attributes if you are generating a class file.TemplatesThese templates form the basis of the code to be generated. Genmax uses the Jinja2 engine for code generation.OutputOnce the data is passed to a template, Genmax generates an output file with the generated code. For nested output locations, you can use>as a separator.CommandsCommandDescriptiongmx add proj <project-name>Create a new project.gmx set proj <project-name>Set the current project.gmx wf run <workflow-name>Run workflow for a given project.Extensions supported in templatesThe following methods are supported in the template:DescriptionMethodLower caselcase(your_string)Pluralizepluralize(your_string)Join With Commasjoinify(name_of_element, element_list)Switch to Camel casecamel(your_string)Switch to Kebab casekebab(your_string)Switch to Pascale casepascale(your_string)Switch to Dot casedot(your_string)Switch to Title casetitle(your_string)Switch to Snake casesnake(your_string)Switch to Path formatpath(your_string)Generate UUIDuuid()Generate secret in 16 bit - hexadecimalsecret()Generate secret in 64 bit - hexadecimalsecret_complex()Read config from .env file.env(file_name, config_name)Quick StartCreate a sample project.gmxinitRun the sample workflow in the project.gmxwfrunsampleOther commandsIf you have multiple projects, you can set another one as active.gmxprojsetother-projectDelete a project using the below command.gmxprojdelproject-nameWorkflow Item TypesAdd these to your workflow YAML file as needed.ItemDescriptionGeneratedataData to pass to the template.actionThe name of the generate action.templateTemplate to use for code generation (j2 supported).outputName and extension of the output file.Write to FileactionThe name of the write_to_file action.templateTemplate to write to file.outputName and extension of the output file.