Saravanan666/pypi-org huggingface dataset:
Package: reval
reval: stability-based relative clustering validation method to determine the best number of clustersDetermining the number of clusters that best partitions a dataset can be a challenging task because of 1) the lack of a
priori information within an unsupervised learning framework; and 2) the absence of a unique clustering validation
approach to evaluate clustering solutions. Here we presentreval: a Python package that leverages
stability-based relative clustering validation methods to determine best clustering solutions, as described in [1].Statistical software, both in R and Python, usually compute internal validation metrics that can be leveraged
to select the number of clusters that best fit the data and open-source software solutions that easily implement
relative clustering techniques are lacking. The advantage of a relative approach over internal validation methods
lies in the fact that internal metrics exploit characteristics of the data itself to produce a result,
whereas relative validation converts an unsupervised clustering algorithm into a supervised classification problem,
hence enabling generalizability and replicability of the results.Requirementspython>=3.6InstallingFrom github:git clone https://github.com/IIT-LAND/reval_clustering
pip install -r requirements.txtPyPI alternative:pip install revalDocumentationCode documentation can be foundhere. Documents include Python code
descriptions,revalusage examples,
performance on benchmark datasets, and common issues that can be encountered related to a dataset number of features
and samples.Refrences[1] Lange, T., Roth, V., Braun, M. L., & Buhmann, J. M. (2004). Stability-based validation of clustering solutions.Neural computation, 16(6), 1299-1323.Cite asIsotta Landi, Veronica Mandelli, & Michael Vincent Lombardo. (2020, June 29). 
reval: stability-based relative clustering validation method to determine the best number of clusters 
(Version v1.0.0). Zenodo. http://doi.org/10.5281/zenodo.3922334BibTeX alternative@software{isotta_landi_2020_3922334,
          author       = {Isotta Landi and
                          Veronica Mandelli and
                          Michael Vincent Lombardo},
          title        = {{reval: stability-based relative clustering 
                           validation method to determine the best number of
                           clusters}},
          month        = jun,
          year         = 2020,
          publisher    = {Zenodo},
          version      = {v1.0.0},
          doi          = {10.5281/zenodo.3922334},
          url          = {https://doi.org/10.5281/zenodo.3922334}
        }
Package: revalorise
PyPi:https://pypi.org/project/Revalorise/Hello! This package is the introduction of my online-self named
(Revalorise)How to installopen CMD / TerminalpipinstallrevaloriseHow to use this packageopen IDLE and type..fromrevaloriseimportRevaloriseJrrev=RevaloriseJr()#Declare class namerev.show_name()#Show namerev.show_youtube()#Show youtube linkrev.show_github()#Show Github linkrev.about_me()#Show my biorev.show_art()#Show ASCII ArtDeveloped by : Revalorise FB:https://www.facebook.com/YouTube:https://www.youtube.com/# The package is the introduction of
my online-selfPyPi:https://pypi.org/project/Revalorise/Hello! This package is the introduction of my online-self named
(Revalorise)How to installopen CMD / TerminalpipinstallrevaloriseHow to use this packageopen IDLE and type..fromrevaloriseimportRevaloriseJrrev=RevaloriseJr()#Declare class namerev.show_name()#Show namerev.show_youtube()#Show youtube linkrev.show_github()#Show Github linkrev.about_me()#Show my biorev.show_art()#Show ASCII ArtDeveloped by : Revalorise FB:https://www.facebook.com/YouTube:https://www.youtube.com/
Package: revamp
RevampA python library that helps in data preparation. Data cleansing steps like missing values imputation, encoding, one-hot encoding, and scaling can be performed by using this library.Installationpip install revampGet startedPrepare your tabular data for statistical analysis or predictive modeling.fromrevampimportDataPreperation# Instantiate objecttransformation=DataPreperation()# Call the object methodprint(transformation.Transform(X=train,cleansing_step="all"))Change Log1.0.0 (30/10/2021)First Release
Package: revancify
Installation$ pip install revancifyFeaturesrevancify,A simple and direct Revanced Installer script.How it works$ revancifyHow to Remove ?$ pip uninstall revancify
$ cd $HOME && rm -rvf RevancifyAbout UsCreated by Parixit Sutariya
Owner Credit : github.com/revanced
Github : github.com/Bhai4You
Youtube : youtube.com/BullAnonymousRevancify
Package: revar
revarReplace specific values ​​with custom variablesInstallationpip3installrevarExamplesInputimportrevartext="Hello, $username$\nNice to meet $who$"output=revar.replace(text,{"$username$":"decave27","$who$":"you"})print(output)OutputHello, decave27
Nice to meet youimportrevarr=revar.Revar(prefix="$")output=r.replace("Hello, $username\nNice to meet $who",username="decave27",who="you")print(output)OutputHello, decave27
Nice to meet you
Package: rev-assets
===========================RevAssets===========================.. image:: https://travis-ci.org/jpscaletti/rev-assets.svg?branch=master:target: https://travis-ci.org/jpscaletti/rev-assets:alt: Build StatusYou care about the performance of your site, so you've configured the web server to cache all your assets for a long time. The most used way to bypass that cache when deploying a new version, is to add a hash of the assets to their names.::'scripts/home.js' --> 'scripts/home.1a23b.js''styles/home.css' --> 'styles/home.aef45.css'The problem is, now your Python web app can't find the file unless you manually –and painstakingly— update all the URLs in the templates... code:: html+jinja<script src="{{ url_for('static', filename='scripts/home.js') }}></script><link rel="stylesheet" href="{{ url_for('static', filename='styles/home.css') }}</script>Whit this library, there is no need for that. Just change your templates to:.. code:: html+jinja<script src="{{ 'scripts/home.js' | asset_url }}></script><link rel="stylesheet" href="{{ 'styles/home.css' | asset_url }}</script>and use this code:.. code:: python# app.pyfrom flask import Flask, render_templatefrom rev_assets import RevAssetsapp = flask.Flask(__name__)rev = RevAssets(reload=app.debug)app.jinja_env.filters['asset_url'] = rev.asset_url@app.route('/')def index():return render_template('index.html')and it will work for every version of the assets that you build.This works by reading the ``manifest.json`` generated by the revision tool (so don't forget to configure your task runner to make one).You can continue to use the old method to link un-versioned assets, like ``favicon.ico`` and others like it.Note that *this is not a Flask extension*, but a Python library. You can use it with any other framework. You can also have many instances of ``RevAssets`` linked to differents manifests.Run the tests======================We use some external dependencies, listed in ``requirements_tests.txt``::$  pip install -r requirements-tests.txt$  python setup.py developTo run the tests in your current Python version do::$  make testTo run them in every supported Python version do::$  toxOur test suite `runs continuously on Travis CI <https://travis-ci.org/jpscaletti/rev-assets>`_ with every update.Contributing======================#. Check for `open issues <https://github.com/jpscaletti/rev-assets/issues>`_ or opena fresh issue to start a discussion around a feature idea or a bug.#. Fork the `RevAssets repository on Github <https://github.com/jpscaletti/rev-assets>`_to start making your changes.#. Write a test which shows that the bug was fixed or that the feature worksas expected.#. Send a pull request and bug the maintainer until it gets merged and published.:) Make sure to add yourself to ``AUTHORS``.______:copyright: `Juan-Pablo Scaletti <http://jpscaletti.com/>`_.:license: BSD-3-Clause, see LICENSE.
Package: revBingGPT
Bing GPTChatGPT with internet accessRequirementsA Microsoft Account with early access tohttp://bing.com/chatMicrosoft EdgeSetupChecking accessInstall the latest version of Microsoft EdgeOpenhttp://bing.com/chatIf you see a chat feature, you are good to goGetting authenticationOpen the developer tools (F12)Go to the Application tab → Storage → CookiesFind the cookie named "_U"Copy the value of the cookieMethod 1export BING_U="<COOKIE_VALUE>"Method 2Use it as command line argument laterInstallationpython3 -m pip install BingGPTDemo usageIfBING_Uin environment variables:python3 -m BingGPTElse:python3 -m BingGPT "<COOKIE_VALUE>"DeveloperUse Async for the best experienceimportasynciofromBingGPTimportChatbotasyncdefmain():"""Main function"""print("Initializing...")bot=Chatbot()awaitbot.start()whileTrue:prompt=input("\nYou:\n")ifprompt=="!exit":breakelifprompt=="!help":print("""!help - Show this help message!exit - Exit the program!reset - Reset the conversation""")continueelifprompt=="!reset":awaitbot.reset()continueprint("Bot:")print((awaitbot.ask(prompt=prompt))["item"]["messages"][1]["text"])awaitbot.close()if__name__=="__main__":print("""BingGPT - A demo of reverse engineering the Bing GPT chatbotRepo: github.com/acheong08/BingGPTBy: Antonio Cheong!help for helpType !exit to exitEnter twice to send message""")asyncio.run(main())Work in progressResponse streaming (Easily achievable)Error handling
Package: revbits_ansible
The pam Secret Server SDKThepamSecret ServerPython SDK contains classes that interact with Secret Server via the REST API.Installpython-mpipinstallrevbits_ansibleSecret ServerWith API key you can authorize theSecretServerclass to fetch secrets.Initializing SecretServerTo instantiate theSecretServerclass, it requires abase_url,api_keyand an optionalapi_path_uri(defaults to"/api/v1")frompam.revbits_ansible.serverimportServerSecretsecret_server=SecretServer("https://pam.revbits.com",api_key)Secrets can be fetched using theget_pam_secretmethod, which takes a stringkeyof the secret and, returns a decoded value :secret=secret_server.get_pam_secret('DB_HOST')print(f"secret:{secret}")frompam.revbits_ansible.serverimportServerSecretsecret=ServerSecret(**secret_server.get_pam_secret('DB_HOST'))DB_HOST=secretCreate a Build Environment (optional)The SDK requiresPython 3.6or higher.First, ensure Python is in$PATH, then run:# Clone the repogitclonehttps://github.com/RevBits/PAM-ansible-plugincdPAM-ansible-plugin# Create a virtual environmentpython-mvenvvenv
.venv/bin/activate# Install dependenciespython-mpipinstall--upgradepip
pipinstall-rrequirements.txtTo build the package, useFlit:flitbuild
Package: revchatgptauth
revChatGPTAuthAuthenticate using your browser's cookies - no need to inconveniently copy and paste from your browser!Getting StartedPrerequisites<= Python 3.9InstallingpipinstallrevChatGPTAuthUsagefromrevChatGPTAuthimportget_access_tokenaccess_token=get_access_token('brave')# your browserWithrevChatGPTThe following example codes are from therevChatGPTREADME.Basic example (streamed)fromrevChatGPT.V1importChatbotfromrevChatGPTAuthimportget_access_tokenchatbot=Chatbot(config={"access_token":get_access_token('brave')})print("Chatbot: ")prev_text=""fordatainchatbot.ask("Hello world",):message=data["message"][len(prev_text):]print(message,end="",flush=True)prev_text=data["message"]print()Basic example (single result)fromrevChatGPT.V1importChatbotfromrevChatGPTAuthimportget_access_tokenchatbot=Chatbot(config={"access_token":get_access_token('brave')})prompt="how many beaches does portugal have?"response=""fordatainchatbot.ask(prompt):response=data["message"]print(response)
Package: revcolorsensor
revcolorsensorThis is a Python library that allows Raspberry Pi's to use theREV Color Sensorwithout a Roborio/FRC project.Installationpip3 install revcolorsensorpigpioYou will need to run thepigpiodaemonfor this library to work.Install with:sudo apt-get install pigpiodYou can run this after booting up the Raspberry Pi:sudo pigpiodor, run thisonceand it will do it automatically on boot each time:sudo systemctl enable pigpiodResourcesAPI DocsExamplesPypi
Package: revdbc
Reverse-engineer DBC definitions from CAN dumps.This library offers APIs to automatically reverse-engineer strctural definitions of CAN packets by analyzing CAN dumps. It comes with a command line tool to conveniently analyze data from camdump files as created by thecan-utils. The software focuses on reverse-engineering structures that can be described using DBC.InstallationInstall the latest release using pip (pip install revdbc) or manually from source by runningpip install .(preferred) orpython setup.py installin the cloned repository. Doing so installs both the library for programmatic usage and an executable calledrevdbc. Userevdbc --helpfor usage information.Python APITODOThe AlgorithmTODO
Package: reveal-graph-embedding
# reveal-graph-embeddingImplementation of community-based graph embedding for user classification.FeaturesGraph-based, multi-label user classification.Implementation of the ARCTE (Absorbing Regularized Commute Times Embedding) algorithm for graph-based feature extraction.Both python vanilla and cython-optimized versions.Implementation of other feature extraction methods for graphs (Laplacian Eigenmaps, Louvain, MROC).Evaluation score and time benchmarks.Install### Required packages
- numpy
- scipy
- h5py
- scikit-learn
- Cython
- networkx
- python-louvain### Installation
To install for all users on Unix/Linux:python3.4 setup.py build
sudo python3.4 setup.py installAlternatively:pip install reveal-graph-embedding
Package: revealjs
Docker image for reveal jsguna.nCommand to create new reveal js presentationdocker run -it --name revealjs-builder3 -v $(pwd):/app revealjs /bin/bashSteps:if you have and .adoc file inside what ever the directory thats not and matter.docker run -it --name (docker container name) -v mapping the volume inside your host machine to dockerized machine.-v (your machine directory) --> where the asciidoc file present's.after the semicolon : operator which means that where you needs to points.user/home/ is the default working directory inside the image.please make sure on /app directory .all the volume inside your local machine will will points into that /app directory only.if you needed to generate the presentation file you explicitly move the file and generate that as of now.ThankyouHappyCoding:)
Package: reveal-user-annotation
Utility methods for generating labels for Twitter users and handling their storage and retrieval.IncludesTwitter user annotation based on crowdsourcing Twitter lists.Utility functions for integration with [MongoDB](http://www.mongodb.org/), [RabbitMQ](http://www.rabbitmq.com) and [PServer](http://www.pserver-project.org/)Basic text pre-processing pipeline utilities.Install### Required packages
- numpy
- scipy
- nltk
- twython
- pymongo
- celery
- networkx### Installation
To install for all users on Unix/Linux:python3.4 setup.py build
sudo python3.4 setup.py installAlternatively:pip install reveal-user-annotationNotes### Stopwords
In the…/reveal_user_annotation/text/res/stopwords/*folder, there exist several files containing stopwords.Among them, distributed are the [Google english stopwords](https://code.google.com/p/stop-words/) which are free to use.
Package: reveal-yaml
Reveal.yamlSee thedocumentation.This project is under MIT license.Quickly create a Reveal.js writing environment!ryminitmyproject
rymserve--port=5000Then start writing the slides in YAML + Markdown.EditorHeroku version.Start it with CLI:rymeditor--port=5000JSON Schemaschema.jsonschema.yamlDeploymentBuild to a static HTML format: (index.htmlandstaticfolder)rympackA Github workflow.github/workflows/deploy.ymlgenerated byrym initcan also be used on your repository.
Package: revel
Revelrevelhelps you create beautiful interfaces for your command line tools. Best
of all, it's extremely easy to use.Simply replace the standardprintfunction with revel's and just like that you
can now display colors!fromrevelimportprintprint('[green]Hello, World![/]')Stylesreveluses BBCode-style markup to style your text. A variety of styles
are available:Formatting:bolddimitalicunderlinedinvertedstrikethroughText Colors:blackredgreenbluemagentacyanwhiteBackground Colors:bg-blackbg-redbg-greenbg-bluebg-magentabg-cyanbg-whiteAddingweakto a tag will only apply the styles of that tag, if no competing styles are already applied. For example:print("[red]Hello, [weak blue underlined]World![/][/]")This will be displayed entirely in red (since the weak "blue" formatting is
overridden by "red"), but the "underlined" formatting will still be applied.ProgressbarsAdding progressbars is easy as can be:fromrevelimportprint,ProgressBarimporttimewithProgressBar(max=10,unit="percent")asbar:foriiinrange(10):bar.progress=iitime.sleep(1.0)You can switch units between "count", "percent", "byte" and "time". The bar will
also automatically display how much time remains until completion, once it is
confident in its estimate.Edit text after it has already been printedDocked widgets can be edited at will. For example, this example docks a text
line and updates it repeatedly:fromrevelimportprintimporttimeline=print("Looking for files",dock=True)foriiinrange(1,10):line.text=f"Found{ii}file(s)"time.sleep(1.0)Additionalprint-like methodsIn addition toprint, revel also providessuccess,warning,errorandfatal. These will be displayed in color, drawing attention to the message.TODOImplement theverbatimtagJupyter Notebook supportTest on bad terminalsActual docsShowcase features:print_chapterselectselect_multipleselect_shortselect_yes_noinput_keyinputgeneral improvements, such as parsing, defaultsecret inputescapeunescape
Package: revel2d2l
Import Revel grade data into D2L LMSFeaturesConverts Revel csv file to D2L csv fileMatches user data based on a reference file from D2L and several heuristicsDefault options should probably just work, apart from which files to processSee the command line utility usage message for description of heuristicsThe script is quiet apart from warnings by default (use -v for more info)Examplesrevel2d2l -h  # Print usage message and exit

revel2d2l -v -i revel.csv -u d2l_users.xlsx -o upload_this_to_d2l_grades.csvLicenseFree software: MIT licenseTHE SOFTWARE IS PROVIDED “AS IS”, WITHOUT WARRANTY OF ANY KIND,
EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF
MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT.CreditsThis package was created withCookiecutterand theaudreyr/cookiecutter-pypackageproject template.
Package: revelation-indicator
Revelation IndicatorThis small application is a re-write of the revelation-applet to work in
Ubuntu’s newUnitydesktop. It implements an
indicator application that allows easy read-only access to your revelation
account database.InstallationTo install the indicator just run:$ sudo python setup.py installAfter that you can start it by running:$ revelation-indicatorIf you wantrevelation-indicatorto load at startup just add new launcher
in theStartup Applicationdialog.ContributeContributing is easy: give me some feedback, file a bug fix or feature request.
And if you want to do even more: fork it, do your magic and send me a pull
request :)LicenseThis piece of software is licensed under the GPL v3. For more information on
this, and how to apply and follow the GNU GPL, seehttp://www.gnu.org/licenses.
Package: revelio
RevelioRevelio is a Python library for interacting with the file system in an object oriented manner. I know you can use os and os.path to do all of these but I find their usage hard to remember and not very object oriented.InstallationYou can use pip to install Revelio.pipinstallrevelioUsageRevelio is an object oriented interface for the file system. All files and directories (folders) are consideredPathobjects. Any path except the root, has a parent: the directory it is in. Directories have children, some of them are files and some are subdirectories.PathUsually we want to start in the current working directory:fromrevelioimportPathcurrent_directory=Path.get_current_directory()# ls or dir:print(current_directory.list())# get the first subdirectory:first_subdirectory=current_directory.directories[0]# get the parent directory:parent_directory=current_directory.parent_directory
Package: revent
Reventpip install reventsubscribe eventsfromreventimportsub@subdefsome_event_occurs(foo,bar,**others):foobarblah...start listen events and runfromreventimportloop# do some thing# ...# andloop()or auto subscribe events and runpython-mreventmodule_xxxmodule_yyyoptional environment variableURL_REDIS="redis://[:PASSWORD@]REDIS_HOST[:6379][/DB_INDEX]"
URL_REDIS="redis://:xxxx@redis.host:12345/2"
Package: revenue
<h1>revenue</h1><p>online academy building resources</p><code>[tcsh] pip install revenue</code>Started from the shell,"revenue" presents files in thecurrent working directory (cwd)that have extension "r.html".<code>[tcsh] revenue</code><code><pre><h1>This is an example html file.</h1><p>It really only needs the "pre" tag to look like a reflection of its contents in a browser.</p><p>Tags like "html" and "body" are actually not necessary for rendering HTML in modern browsers.</p><p>for text to wrap, instead of extending off the page, style "white-space: pre-wrap" can be utilized.</p></pre></code>
Package: reverb
This is the revival of a small Python module which lived once on the now
abandonedVaults of Parnassuswhen I
entered Python programming about a decade ago. It was originally written and
published byJasonHarperin 1998 on a “free for any use” license.
Since then it has slowly
faded from the net which I find a bit sad.What is reverb?reverb.pyis a tiny wrapper around Pythonsremodule which maps regular
expressions
onto Python expressions for the sake of readability. The module name can be read
as “re-verb(ose)”. reverb
follows the Python tradition of keeping the amount of punctuation small and
avoid punctuation collisions.In reverb one writesOptional(Digit)+"."+Required(Digit)instead of\d*\.\d+to denote a pattern that matches a floating point number. The reverb reads much
like a meta-language explanation
of the dense and compact regexp.From a reverb object one can fetch the regexp using thetextattribute>>> (Optional(Digit)+"."+Required(Digit)).text
'\\d*\\.\\d+'Each reverb object translates to a regexp and it is finally the regexp which is
compiled and matched
against strings.Reverb in contextI think aboutreverbany time I encounter aregexp learning toolbut alsopyparsingwhich has grown in popularity
within the Python community and I
suspect it did this for reasons not dissimilar to those intended byreverb:
“avoiding line noise
when writing regular expressions” in the words of Jason Harper. So I do think it
fits a real need.The only significant change I made to reverb is capitalization of names. reverb
1.0 was published when Python 1.5
came out and used identifiers likeanyandsetwhich have now
counterparts as builtins in Pythons standard
library.DocumentationThe complete module documentation can be foundhere
Package: reverb-i2c
Project Descriptionthis package is only meant for use within the TJREVERB pFS codebaseuse of this package in other projects is not supported and not advisedreverb-i2c is a custom i2C library meant for use with the Simulator
testing suite. Instead of conducting actual i2C calls to physical
hardware, reverb-i2c will save all data to a local text file which then
can be read by the Simulator. More information on Simulatorhere.Since this package is meant to override the conventionalsmbus2package, reverb-i2cMUSTbe installed in a separate virtual
environment.Quick Start TestingTo install this package:pip installreverb-i2cThe conventional smbus2 package, if present will be overridden by installing this package