Saravanan666/pypi-org huggingface dataset:
Package: eiquadprog
eiquadprogThis repo contains different C++ implementations of the algorithm of Goldfarb and Idnani for the solution of a (convex) Quadratic Programming problem by means of a dual method.The problem is in the form:
min 0.5 * x G x + g0 x
s.t.
CE^T x + ce0 = 0
CI^T x + ci0 >= 0There are 3 implementations:eiquadprog.hpp: the original C++ implementationeiquadprog-fast.hpp: an improved version employing a wrapper, avoiding dynamic memory allocationeiquadprog-rt.hpp: similar to the above, it employs fixed-size Eigen vectors. This requires the problem dimensions to be known at compile time and is recommended only for small problems.Please refer to the unit tests for examples of usage.AuthorsEiquadprogwas created at LAAS-CNRS by Gabriele Buondonno, based on
parts fromTSIDby Andrea Del Prete.This work was based on previous libraries:QuadProg++, Copyright (C) 2007-2016 Luca Di Gaspero, MIT License.uQuadProg, Copyright (C) 2006 - 2017 Angelo Furfaro, LGPL v3.eiquadprog.hpp, Copyright (2011) Benjamin Stephens, GPL v2.quadprog++Copyright (C) 2014-2015 Gael Guennebaud, LGPL v3.
Package: eirStru
📦 setup.py (for humans)This repo exists to providean example setup.pyfile, that can be used
to bootstrap your next Python project. It includes some advanced
patterns and best practices forsetup.py, as well as some
commented–out nice–to–haves.For example, thissetup.pyprovides a$ python setup.py uploadcommand, which creates auniversal wheel(andsdist) and uploads
your package toPyPiusingTwine, without the need for an annoyingsetup.cfgfile. It also creates/uploads a new git tag, automatically.In short,setup.pyfiles can be daunting to approach, when first
starting out — even Guido has been heard saying, "everyone cargo cults
thems". It's true — so, I want this repo to be the best place to
copy–paste from :)Check out the example!Installationcdyour_project# Download the setup.py file:#  download with wgetwgethttps://raw.githubusercontent.com/navdeep-G/setup.py/master/setup.py-Osetup.py#  download with curlcurl-Ohttps://raw.githubusercontent.com/navdeep-G/setup.py/master/setup.pyTo DoTests via$ setup.py test(if it's concise).Pull requests are encouraged!More ResourcesWhat is setup.py?on Stack OverflowOfficial Python Packaging User GuideThe Hitchhiker's Guide to PackagingCookiecutter template for a Python packageLicenseThis is free and unencumbered software released into the public domain.Anyone is free to copy, modify, publish, use, compile, sell, or
distribute this software, either in source code form or as a compiled
binary, for any purpose, commercial or non-commercial, and by any means.
Package: eiscp-micropython
EISCP MicropythonThis is an implementation of the Onkyo EISCP protocol for running on Microcontrollers utilizingMicroPython.It is a heavily stripped down version of theOnkyo EISCPlibrary and supports
sending commands to connected devices in the same IP-Network.Compared to the original library, this one is also utilizinguasynciofor being able to run the project easily with other code.UsageAs an example turning on the first device in the network and changing the audio input.importuasyncioimportnetworkfromeiscpimportdiscoverwifi=network.WLAN(network.STA_IF)wifi.active(True)wifi.connect('SSID','PW')loop=uasyncio.get_event_loop()clients=loop.run_until_complete(discover())client=clients[0]loop.run_until_complete(client.power_on())loop.run_until_complete(client.command("SLI","11"))TestingThe EISCP library has been real world tested with an ESP32 microcontroller inside of theESP32 IR Remote Protocol.It communicates successfully to aSX-S30DAB.LicenseThe project has been published via the MIT license.
Package: eis-cream-cmd
Machine Learning on EISProject Objectives:Current Functionality:Our results are presented in the user interface called echem_pred. This UI has the following functionalities:Data visualization:EIS plottingdqdvBattery cycling plottingMachine Learning:
Our machine learning has two different modes: online training and offline training. Online training includes.... while offline training uses developed....Offline data trainingOnline data trainingDecision TreeModules Overview:echem_pred.py: Main file for the user interface. Including three main parts: main window, data visualization (window 2), and machine learning (window 3).Software Tutorial:After cloning this repo annd installing the requirements, the Echem Visualizer App can be used to interact the xx functions to visualize cycling data.To start the app please run....:After running, the main page should look like this:Installation:Environment:(What's the required environment)Instruction:(How to install)Acknowledgement:
Package: eisenheimisme
PyPi:https://pypi.org/project/eisenheimisme/EisenheimEng คือ ข้อมูลที่เกี่ยวข้องกับผู้สร้าง เพื่อใช้ในการเรียน
Python ประกอบด้วย webpage ของผู้สร้าง in github.com งานอดิเรกคือ
ดูรายการทำอาหารใน Youtubeวิธีติดตั้งเปิด CMD / Terminalpipinstalleisenheimismeวิธีใช้งานแพ็คเพจนี้เปิด IDLE ขึ้นมาแล้วพิมพ์…fromeisenheimismeimportEisenheimEngeisen=EisenheimEng()# ประกาศชื่อ classeisen.show_name()# แสดงชื่อeisen.show_youtube()# แสดงช่อง Youtube ที่ชอบดูeisen.about()# เกี่ยวกับ Eiseneisen.ascii_chaiyo()# แสดงภาพพลุ เพื่อยินดีกับผู้เข้าชมพัฒนาโดย: Eisenheim L. github.com:https://github.com/EisenheimA
Package: eisenmp
Python 3.7MultiprocessorFrameworkfor single ServerKwargs To GoFeatures:Uniformfoundation to create multiprocess project modulesWorkload Chunkswith header to control output and speed up a specific taskChunks get a serial number (ID), findings can be checked in a result dictionary, which ID is missingmodule_loaderdecouples your Worker imports from Main()Categories of Queues, assign Names to Queues and groups of QueuesQueue listhelps to debug your setup and reveals the name, object id and object reference of every QueuePrint Queueallows formatted print to screen for your processes (blocks)No libraries, (Linux, Windows)Visit the features above in theExamples gitHub repositoryordownload the all inclusivePyPi Examples packageand
executeeisenmp_urlin Terminal to start the simpleHTTP Ajax serverAll scenarios run onTemplate Style Modules. Enjoy the descriptions.How it worksYou write two functions and two modules.
Let’s name themManager.pyandWorker.py.Manager.py defines custom objects and starts a new process, target ismodule_loader.py(loader)loader imports your (independent) Worker.py module from file system without side effectsloader sits in a loop and calls your Worker.py entry function until queue is emptyq_feederiterator sends a STOP message. Your Worker reads STOP, return False and exit.module_loadermodule then puts a STOP Worker message in all other input queues.NextWorker reads STOP, exit …Loader runs idle and awaits the internal STOP Process message.GeneratorsVariables transfer to workerThe worker should be more flexible. Thus, it needs more structured information.Information collector is theModuleConfigurationclass instance. The class can carry any name.All instance attributes are stored in a dictionary __dict__. (self.foo will be kwargs.foo)The instance dictionary is argument (kwargs) to call the eisenmp start method.Kwargsis updated further with queue information and the START_SEQUENCE_NUM of the process, before process start.Default QueuesInputworker lists,Outputresult and stop listsTools,Print,InfoHow to run the examples?FastPyPi package.eisenmpwill be installed also.In depth. Clone both repos.eisenmpandeisenmp_examplesInstall in editable pip mode.cd eisenmp
pip3 install -e .  # uninstall (linux pip3) with: pip3 uninstall eisenmp

cd eisenmp_examples
pip3 install -e .  # uninstall with: pip3 uninstall eisenmp_examplesRun the examples. Either local Ajax Web server or terminal menu.eisenmp_url
# or
eisenmp_menuGet the documentation on readthedocshttps://eisenmp.readthedocs.io/
Package: eisenmp-examples
Python 3.7MultiprocessFrameworkfor single ServerExamples:simple style prime number calculation to see the basic usesimple http server on one cpu gets content via queueone flask orm server on each cpu - share a user dbmultiple flask orm server on each cpu, port groups - share a user dbweb download csv large list, calculate average over a columnbrute_force_attack with itertools generator and dictionaryexample with two, double fed queuesAll scenarios follow theTemplate styleand have descriptions## How to run the examples?Clone the repo andrun aneisenmp_exa_...orInstallPyPi packagein terminal run:eisenmp_urland open the local Python SimpleHTTPURLin terminal run:eisenmp_menuand choose fromMenuBrute force cracks strings of an online-game alphabet salad quest... read wordlist .\lang_dictionaries\ger\german.dic
.. read wordlist .\lang_dictionaries\eng\words.txt
[BRUTE_FORCE]
cfhhilorrs
Create processes. Default: proc/CPU core
0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15

... proc Process-7 ... rohrschilf
... proc Process-14 ... rohrschilf
... proc Process-16 ... rohrschilf
... proc Process-7 ... rohrschilf
... proc Process-13 ... schilfrohr
... proc Process-13 ... schilfrohr
... proc Process-11 ... schilfrohr
... proc Process-11 ... schilfrohr

generator empty, run time iterator 5 seconds

exit WORKER 15
exit WORKER 16
exit WORKER 2
exit WORKER 10
exit WORKER 11
exit WORKER 12
exit WORKER 8
exit WORKER 3
exit WORKER 4
exit WORKER 6
exit WORKER 14
exit WORKER 5
exit WORKER 7
exit WORKER 13
exit WORKER 1
exit WORKER 9

--- Result for [CFHHILORRS]---

 rohrschilf

 schilfrohr

--- END ---

Processes are down.
BF Time in sec: 12

Process finished with exit code 0Brute ForceWe use an english (.6M) plus a german (2M) wordlist and make a dictionary of it. To gain more read speed.len(str) <=  11, combined brute force dictionary attack with a permutation generator. itertool prod. duplicates
Permutation lists grow very fast, reaching Terabyte size.len(str) >=  12, pre reduce a len(str) list. Kick out words which are not matching char type and count.Web download a large listCalculates the average for one column.
Python CSV extracts the column and we calculate the average with the assigned number
of Porcesses/CPU cores. It can be more processes than CPU cores, if it makes sense.large listshttps://www.stats.govt.nz/large-datasets/csv-files-for-download/Crown copyright ©.
All material Stats NZ produces is protected by Crown copyright.
Creative Commons Attribution 4.0 International licence.German dicthttps://sourceforge.net/projects/germandict/. License Public DomainEnglish dictCopyright (c) J Ross Beresford 1993-1999. All Rights Reserved.ORM Flask-SQLAlchemyhttps://pypi.org/project/Flask-SQLAlchemy-Project-Template/License MIT 44xtc44Cheers
Package: eisenradio-apk
Eisenradio .apk Installer for Androidcompiled for arm64-v8a to run on Android devicesx86 version is used in Android Studio "Device Emulator"Database and downloads are located in the default User folder "/Music/Eisenradio"Change "Save" path to store files on external SD card, the "Allow access" request from setup is used for itApp runs in foreground service mode, so it will not be killed at screen lockCreate multiple radio names and URLs in an *ini file on PC or tablet, import with the "Tools" menu on the phone.apk is an Android setup fileThe package wrapper is a wheelA python wheel is a Zip file, so you can rename it to *zip and extract it using any program that reads Zip files.
Package: eisplottingtool
eisplottingtoolsThis package was created during my civil service at EMPA. to process, plot and fit electrochemical impedance
spectroscopy (EIS) data.This package itself centered around the classEISFrame, which itself is a wrapper around
apandas.DataFrame. TheEISFramecontains
additional methods to plot, fit and manipulate EIS data and also other electrochemical data.InstallationThis package is currently not onPyPI.To install and use this package fork or clone the repository onGitHub. Move
to the folder where the repository is located on your local machine and open a Terminal.To install run:>py-mpipinstall.to install and editable version use:>py-mpipinstall-e.Example UsageStep 1: Import data & create EISFrameTo load data and to create anEISFrametheload_datafunction can be used.The following file types are supported to load data from:csv,txt,mpr,mpt.importeisplottingtoolaseptdata=ept.load_data("Example_Data.mpr")Step 2: Manipulate DataAnEISFrameis essentially a wrapper around apandas.DataFramewith additional functionality.Like aDataFramethe data in anEisFramecan be accessed directly with the index operator[...].int for accessing cyclesStep 3: Define an equivalent circuitTo fit our data an equivalent circuit is needed, defined as a string.To combine Elements  are combined in series by a dash (-) is used. Elements in parallel are wrapped byp( , ).An element is defined by a symbol made of letters followed by a digit. Implemented components are:For example the following circuit would be defined as:Implemented componentsNameSymbolParametersDefault BoundsUnitsResistorRR(1e-6, 1e6)OhmCapacitanceCC(1e-20, 1)FaradConstant Phase ElementCPECPE_Q(1e-20, 1)Ohm^-1 s^nCPE_n(0, 1)Warburg elementWW(0, 1e10)Ohm^-1 s^0.5Warburg short elementWsWs_R(0, 1e10)OhmWs_T(1e-10, 1e10)sWarburg open elementWoWo_R(0, 1e10)OhmWo_T(1e-10, 1e10)sWarburg short element specialWssWss_R(0, 1e10)OhmWss_T(1e-10, 1e10)sWss_n(0, 1)Warburg open element specialWosWos_R(0, 1e10)OhmWos_T(1e-10, 1e10)sWos_n(0, 1)Step 4: Fit the dataLeast_squares is a good fitting method but will get stuck in local minima. For this reason, the Nelder-Mead-Simplex
algorithm is used to get out of these local minima. The fitting routine is inspired by Relaxis 3 fitting procedure. More
information about it can be found on page 188 of revision 1.25
ofRelaxis User Manual.Step 5: visualize the dataFunctionsExtended Backusâ€“Naur form (EBNF) parser for a circuit string.Implements an extended Backusâ€“Naur form (EBNF)  to parse a string that describes a circuit Already implemented circuit
elements are located in CircuitComponents.py To use a component in the circuit string use its symbol. The symbol can be
followed by a digit to differentiate similar components.To put elements in series connect them through '-' Parallel elements are created by p(Elm1, Elm2,...)The syntax of the EBNF is given by:circuit = element | element-circuit - element = component | parallel - parallel = p(circuit {,circuit})component = a circuit component defined incircuit_componentsFrom this an equation for the impedance is generated and evaluated.
Package: eitaa
Eitaa Python ToolkitUnofficial toolkit forEitaamessenger.InstallationInstalling latest published release :pip install eitaaInstall in-development version :pip install git+https://github.com/bistcuite/eitaapykit.gitExampleGetting channel's information :fromeitaaimportEitaaprint(Eitaa.get_info("eitta"))# "eitta" is a channel idGetting latest messages of a channel:fromeitaaimportEitaaprint(Eitaa.get_latest_messages('eitaa'))Sending messages :fromeitaaimportEitaaeitaa_obj=Eitaa("your eitaayar.ir token")print(eitaa_obj.send_message("chat id","message text",pin=True))Getting trends :fromeitaaimportEitaatrends=Eitaa.get_trends()DocumentationRead documentationhere.LicenceThis project is licensed under theMITLicense, readLicensefor more information.
Package: eitaa-pykit
Eitaa PykitToolkit forEitaamessenger.NOTE:for send message to chats you should add@senderas manager to your chat.Install via pipWindows:pip install eitaapykitLinux:pip3 install eitaapykitEitaaclassFirst create an object fromEitaaclass :fromeitaaimportEitaaeitaa_obj=Eitaa("your eitaayar.ir token")The methods call from this class.Get information of a channelFor get information of a channel you can useget_infofunction inEitaaclass.params :channel_id: channel id to get information(without@)NOTE:This method is a static method and you can call it without creating any object fromEitaa.Example :print(eitaa_obj.get_info("channel ID"))# or :print(Eitaa.get_info("channel ID"))It returns adictobject contains channel's name, image's url, subscribers count and channel's description.{"name":"channel name","image_url":"channel image url","users":"subscribers count","desc":"description of channel",}Send a messageFor send a meesage to your channel/group you can usesend_messagefunction inEitaaclass.params :chat_id: your chat id(if your chat is a channel set it to channel id/invite link, and if your chat is a group set it to your group's invite link)text: text to sendpin(optional) : if you want to message pinned in chat, set itTrueview_delete(optional) : if views of your post be equal toview_delete, message will deleteExample :print(eitaa_obj.send_message("chat id","message text",pin=1)It returns a bool value that shows send status :True: message sent successfullyFalse: error in sending messageSend a fileFor send a file to your channel you can usesend_filefunction inEitaaclass.params :chat_id: your chat id(if your chat is a channel set it to channel id/invite link, and if your chat is a group set it to group invite link)caption: caption of your file(similar totextinsend_messagefunction)file: your file name to send to chatpin(optional) : if you want to file pinned in chat, set itTrueview_delete(optional) : if views of your post be equal toview_delete, file will deleteExample :print(eitaa_obj.send_file("chat id","caption","README.txt",pin=1)It returns a bool value that shows send status :True: file sent successfullyFalse: error in sending messageTodoBetter error handler onEitaa.send_*More options with selenium.AboutThis project is licensed under theMITLicense, for more information readLicense.
Package: eit_django_utils
Convenient utils for EIT Django devDocumentationQuickstartInstall EIT Django Utils:pip install eit_django_utilsAdd it to yourINSTALLED_APPS:INSTALLED_APPS=(...'django-hijack','eit_django_utils',...)Add EIT Django Utils’s URL patterns:fromeit_django_utilsimporturlsaseit_django_utils_urlsurlpatterns=[...path("eit_utils/",include(eit_django_utils_urls,namespace="eit_django_utils")),...]Using with Django 2.2+ settings.py:MIDDLEWARE=[...'django.contrib.auth.middleware.AuthenticationMiddleware',# SetLocalDevShibUID is only for local development!'eit_django_utils.backends.custom_auth.SetLocalDevShibUID','eit_django_utils.backends.custom_auth.CustomHijackMiddleware','eit_django_utils.backends.custom_auth.CustomHeaderMiddleware','django.contrib.auth.middleware.SessionAuthenticationMiddleware',...]AUTHENTICATION_BACKENDS=('eit_django_utils.backends.custom_auth.CustomRemoteUserBackend',)LOCALDEV_SHIB_UID='desired_unity_id'
Package: either
https://github.com/kennknowles/python-eitherThis library provides two fundamental near-trivial data structures for Python:Eitheralso known as “coproduct”, “sum type”, “variant”, “tagged union”, “disjoint union”, etc: A value that comes from one of two setsMaybealso known as “option” or “Either Nothing”: A value that may be missing. (Python has “None” but it does not compose)Each is ~10 lines, mostly boilerplate, but now they are in one place in a library.Further Reading:If you are unfamiliar with these concepts, here is some reading from around the web:Either:[Tagged union (Wikipedia)](http://en.wikipedia.org/wiki/Tagged_union)[Either (Scala)](http://www.scala-lang.org/api/current/scala/Either.html)[Boost.Variant (C++)](http://www.boost.org/doc/libs/1_50_0/doc/html/variant.html)[Data.Either (Haskell)](http://www.haskell.org/ghc/docs/latest/html/libraries/base/Data-Either.html)[std.variant (D)](http://dlang.org/phobos/std_variant.html)Maybe:[Option (Scala)](http://www.scala-lang.org/api/current/scala/Option.html)[Maybe (Java)](https://github.com/npryce/maybe-java)[Maybe pattern (Python recipe)](http://code.activestate.com/recipes/577248-maybe-pattern/)[Data.Maybe (Haskell)](http://www.haskell.org/ghc/docs/latest/html/libraries/base/Data-Maybe.html)[Maybe (Ruby)](https://github.com/bhb/maybe)Contributors[Kenn Knowles](https://github.com/kennknowles) ([@kennknowles](https://twitter.com/KennKnowles))Copyright and LicenseCopyright 2012- Kenneth KnowlesLicensed under the Apache License, Version 2.0 (the “License”);
you may not use this file except in compliance with the License.
You may obtain a copy of the License athttp://www.apache.org/licenses/LICENSE-2.0Unless required by applicable law or agreed to in writing, software
distributed under the License is distributed on an “AS IS” BASIS,
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
See the License for the specific language governing permissions and
limitations under the License.
Package: eitparser
eitparserParser for Event Information TablesWhat it isParser for Parser for Event Information Tables (https://de.wikipedia.org/wiki/Event_Information_Table)InstallationpipinstalleitparserGet Sourcesgitclonehttps://github.com/WolfgangFahl/eitparsercdeitparser
scripts/installTestingscripts/testUsageseetest casesDocumentationWikiAuthors[Frank Glaser][https://github.com/betonme]Wolfgang Fahl
Package: eivor-polls
Polls is a simple Django app to conduct Web-based polls. For each
question, visitors can choose between a fixed number of answers.Detailed documentation is in the “docs” directory.Quick startAdd “polls” to your INSTALLED_APPS setting like this:INSTALLED_APPS = [
    ...
    'polls',
]Include the polls URLconf in your project urls.py like this:path('polls/', include('polls.urls')),Runpython manage.py migrateto create the polls models.Start the development server and visithttp://127.0.0.1:8000/admin/to create a poll (you’ll need the Admin app enabled).Visithttp://127.0.0.1:8000/polls/to participate in the poll.
Package: ej2-streamlit-grids
Syncfusion Streamlit ComponentsTheSyncfusion Streamlit Gridcomponent is a powerful component that allows users to display data in a tabular format with rich features. These features include data binding, sorting, grouping, editing, filtering, dragging, resizing, and exporting to Excel and PDF formats.InstallationTo install the Syncfusion Streamlit Grid component, you can utilize the provided command below:pipinstallej2-streamlit-gridsRapid UtilizationTo quickly integrate the Syncfusion Grid component into your Streamlit app, follow these steps:Create a Python file, e.g.,demo.py.Add the following code to yourdemo.pyfile:fromej2_streamlit_gridsimportSfGrid,GridPropsimportpandasaspddata=pd.read_csv('https://raw.githubusercontent.com/SyncfusionExamples/Getting-started-with-Syncfusion-Grid-component-in-Streamlit-app/master/dataset.csv')props=GridProps(data)SfGrid(props)Run the Streamlit app with the following command:streamlitrundemo.pyDemoFor a comprehensive example of using the Syncfusion Grid component in Streamlit, please refer to theGitHubrepository. The provided example demonstrates the usage of the Grid component along with additional features.SupportFor any questions or assistance, you can:Visit theSyncfusion support portal.Post your queries on thecommunity forums.Renew your subscription by clickinghereor contacting our sales team atsalessupport@syncfusion.com.If you have specific feature requests or suggestions, please submit them through ourfeedback portal.LicenseFor detailed information about the Syncfusion Essential Studio license and copyright, please refer to thelicense.© 2024 Syncfusion, Inc. All Rights Reserved.