Saravanan666/pypi-org huggingface dataset:
Package: kntgen
Code generator for Appixi Flutter ApplicationsInstallation:Install using pip3:Open Terminal and run:$ brew install python$ pip3 install kntgenUpdate:$ pip3 install -U kntgenUninstall:$ pip3 uninstall kntgenRoadmap:[x] Support STACK_VIEW type? Could check stack with z-axis and order in [children][ ] Detect SingleChildScrollView with [overflowDirection] after adding scroll prototype for a [Frame][ ] View could be expanded in row/column? Normally (fixed) tv, tf will take the expansion[ ] Could gen rich text? Using ['characterStyleOverrides'][ ] Also gen shimmer loading for item?[ ] Gen model and mock model Dart class?[x] Printout to console/preview how the new generated widget/item looks like, before let users confirm they want to generate it?[ ] Read file en-US.json before generate string in widget/item?[ ] Generate paging widget? End withs {_paging} postfix, only apply for lv and gv[ ] Printout invalid named node with node id[ ] Auto detect same view to generate lv, gv? No need?[ ] Auto detect background view type (check rect ~ outer rect with bias)?[ ] From prototype generate navigation? -> Using node id 0:1 and search transitionNodeID
Package: knurko
Watch the video and select a single frame from the video.
You might choose to cut the video in two at this frame.Run knurko on a video file.knurko wrist-cracking.mp4The video will open in mplayer.Press “q” when you reach the frame of interest.
The video will stop, and the number of the frame that you
have chosen will be printed to stdout.And since the video is playing in mplayer, you may also use
any of mplayer’s interactive controls.You need to have mplayer installed in order to use knurko.
Package: knust
KnustKnust is a Python module that implements a Raspberry Pi based thermostat. It uses DHT temperature sensors and switched electrical output expedcted to control a heater to regulate the temperature against a target. It installs two componnents, theknustservice and thebrotcommand line interface.ComponentsThe thermostat runs as a system service calledknustthat provides the temperatur reading and manages the electrical outputs. The services makes itself available on DBUS.The command line interfacebrotis used to define thermostat sessions, query the current status and to drop (delete) sessions.Sessions are persisted, which means the service will continue sessions after a restart.InstallationTheknustpackage is provided on PyPi:$ pip install knust>=0.5
...License informmationTheknustpackage is released under the APACHE-2 license.
Package: knuverse
[![Build Status](https://travis-ci.org/KnuVerse/knuverse-sdk-python.png?branch=master)](https://travis-ci.org/KnuVerse/knuverse-sdk-python)[![PyPI](https://img.shields.io/pypi/v/knuverse.svg)](https://pypi.python.org/pypi/knuverse)[![Documentation Status](https://readthedocs.org/projects/knuverse-sdk-python/badge/?version=latest)](http://knuverse-sdk-python.readthedocs.io/en/latest/?badge=latest)# knuverse-sdk-pythonThis project is a Python SDK that allows developers to create apps that use Knuverse's Cloud APIs.Documentation for the API can be found [here](https://cloud.knuverse.com/docs/) <br />Documentation for the SDK can be found [here](https://knuverse-sdk-python.readthedocs.io/en/latest/?) <br />Quick Start-----------First, install the knuverse-sdk:```sh$ pip install knuverse```Then, in a Python file:```pythonfrom knuverse.knufactor import Knufactorapi = Knufactor(<api_key>,<secret>)for client in api.client_list():print "%s: %s" % (client.get("name"), client.get("state"))```Notes-----A minimum python version of 2.7.9 is required to work with our version of TLS(>v1.1)
Package: knuverse-cli
# knuverse-cliThis project uses the [Knuverse Python SDK](https://github.com/KnuVerse/knuverse-sdk-python) to demo AudioPIN and AudioPass verifications against the KnuVerse cloud server.## Quick StartFirst, install the knuverse-cli:### Ubuntu`sh $ sudoapt-getinstallportaudio19-dev$ pip installknuverse-cli`### macOS`sh $ brew install portaudio $ pip installknuverse-cli`Then try it out!![gif](https://i.imgur.com/VfNWWNo.gif)## Current FeaturesAudioPIN and AudioPass verification## Coming SoonEnrollmentClient creationSystem Setting changes## NotesA minimum python version of 2.7.9 is required to work with our version of TLS(>v1.1)
Package: knv-cli
KNV ToolsGetting startedIt might be preferable to installknvcliinside a virtual environment. This can be done using thesetup.bashscript included in this repository - always check the respective file content before executing the following command, though:curl-sfhttps://raw.githubusercontent.com/fundevogel/knv-tools/main/setup.bash|bashThis willsetup a virtual environment viavirtualenvinstall theknvclimodulecreate recommended foldersAfter that, simply activate the virtual environment withsource .env/bin/activateand you're good to go.Alternatively, you may install it globally, usingpip:pipinstallgit+https://github.com/Fundevogel/knv-tools.gitConfigurationAdjusting most options to suit your needs is straightforward, global config is stored in${XDG_CONFIG_HOME}/knv-cli/config(followingXDG specifications) and defaults to this:[DEFAULT]vkn=12345# 'Verkehrsnummer'verbose=off# Enable verbose mode[directories]data_dir=~/.local/share/knv-cli# database directoryimport_dir=./imports# files to be processed & imported to databaseexport_dir=./dist# generated spreadsheets & graphs[api]credentials=./login.log# JSON file containing KNV credentialsAs you can see, many config options refer to the directory from whichknvcliis being called.In addition, you might want to provide a list of emails being ignored (for example, people opting out of your email marketing campaign) when creating contact lists usingknvcli contacts. This can be done by providing ablocklist.txtin your current directory or using the CLI option-b. The blocklist should contain one entry per line, like this:block-me@example.com
pls-me-2@example.com
f!@#ck-u@example.comRoadmapIn the future, the following features & improvements are planned:bar charts for sales rankingsexport functions forDatabasepreparing tax declarations using automation.. and much more:copyright: Fundevogel Kinder- und Jugendbuchhandlung
Package: knw-Chromedriver-manager
Chromedriver_manager for knw / By archon.oh############# [install] #############pip install knw-Chromedriver-manager###################################################################### [window use sample code] ##################################from knw_Chromedriver_manager import Chromedriver_managerfrom selenium import webdriver
from selenium.webdriver.chrome.options import Options
from selenium.webdriver.chrome.service import Serviceoptions = Options()
driver = webdriver.Chrome(service= Service(Chromedriver_manager.install()), options=options)
driver.get("https://www.daum.net/")################################################################################################################################### [mac use sample code] ################################from knw_Chromedriver_manager import Chromedriver_managerfrom selenium import webdriver
from selenium.webdriver.chrome.options import Options
from selenium.webdriver.chrome.service import Serviceoptions = Options()
options.binary_location = Chromedriver_manager.path_check() # add code
driver = webdriver.Chrome(service=Service(Chromedriver_manager.install()), options=options)
driver.get("https://www.daum.net/")#############################################################################################
Package: knx
A minimalisticKNX/ EIB
python library.Sending telegramsThis library can be used to send data telegrams to actuators in the bus system.For example in order to turn on a light the following code could be used:>>> from knx import connect
>>> with connect() as c:
...     c.write('0/1/14', 1)Where0/1/14is the address of the light and1is the payload of the
data telegram which indicates that the light should be turned on.Listening to telegramsThis KNX library can also be used to listen to telegrams that are sent onto the
bus system. For example if you simply want to log an entry each time a light is
turned off or on:>>> import knx
>>> import asyncio

>>> @knx.coroutine
... def logger():
...     while True:
...         telegram = (yield)
...         print('Telegram from {0} sent to {1} with value: {2}'.format(
...               telegram.src, telegram.dst, telegram.value))

>>> loop = asyncio.get_event_loop()
>>> coro = knx.bus_monitor(logger(), host='localhost', port=6720)
>>> loop.run_until_complete(coro)Install & RequirementsPython >= 3.6Install using pip:$ pip install knxDisclaimerI’ve only tested this witheibd0.0.5 and the forkknxdas a gateway.AlternativesIf you’re looking for complete home automation solutions you might want to take
a look athome-assistantorsmarthome.DevelopmentEditknx.pyin your favorite editor and run tests usingpython-munittestorpython tests.py.If you want to run the examples without first installing this library you can use:python -m examples.actor -- hostname '0/0/20'(Replace actor with the appropriate module name and omit the arguments if the
module doesn’t require them)
Package: knx-frontend
KNX UIThis is the KNX panel for the KNX core integration in Home Assistant. It
provides a user interface for interacting with the KNX integration.FeaturesInfo:Get an overview of your current KNX installation state (shows if connected
to the Bus, which XKNX version is running and the currently assigned
Individual address)Upload ETS project file (which is used in the Group Monitor to provide
destination names and DPT interpretation) and delete it again from Home
Assistant.Get key information about the parsed ETS project which has been uploadedGroup Monitor: Use the interactive bus monitor to view all incoming and
outgoing telegrams on the bus.ETS Project: Displays the Group Addresses provided via ETS Project in a tree viewDevelopmentIf you check this repository out for the first time please run the following command to init the submodules:$makebootstrap
...Development build (watcher)$makedevelop
...Production build$makebuild
...Update the home assistant frontendReplace latest_tag with the current release tag.$cdhomeassistant-frontend
$gitfetch
...
$gitcheckoutlatest_tag
...
$cd..
$rm-fyarn.lock
$node./script/merge_requirements.js
...
$script/bootstrap
...Testing the panelFirst of all we recommend to follow the instructions forpreparing a home assistant development environment.You can test the panel by symlinking the build result directoryknx_frontendinto your Home Assistant configuration directory.Assuming:Theknx-frontendrepository is located at<knx-frontend-dir>pathThehome-assistant-corerepository is located at<hass-dir>path (Remark: per default the Home Assistant configuration directory will be created within<hass-dir>/config)$ln-s<knx-frontend-dir>/knx_frontend<hass-dir>/config/deps/lib/python3.xx/site-packages/
$hass-cconfig
...or on a venv-install$cd<hass-dir>
$script/setup# Next step might be optional$sourcevenv/bin/activate
$exportPYTHONPATH=<knx-frontend-dir>
$hass
...Nowhass(Home Assistant Core) should run on your machine and the knx panel is
accessible athttp://localhost:8123/knx.On Home Assistant OS you might usehttps://github.com/home-assistant/addons-development/tree/master/custom_deps
Package: knxpy
InstallationPrequisitesFor the asyncio ip tunnel at least python 3.5 is required.
The thread ip tunnel should work with earlier python versions.
A simple python connector to knxd is also available.Setuprunpip3 install knxpyordownload the latestreleaseunzip and cd to the folderrunpython3 setup.py installExamplesTo get started, check theexamplesfolder
Package: knxPython
knxThis projects provides a knx-device stack for arduino (ESP8266, SAMD21) and linux. (more are quite easy to add)
It implements most of System-B specification and can be configured with ETS.
The necessary knxprod-files can be generated with myCreateKnxProdtool.The visual studio files use theVisualGdb. But you can use the lib in Arduino as usual.
The linux Version can be build with cmake.For esp8266WifiManageris used to configure wifi.Don't forget to reset ESP8266 manually (disconnect power) after flashing. The reboot doen't work during configuration with ETS otherwise.The SAMD21 version uses my version of theFlashStoragelib (Pull request pending).Generated documentation can be foundhere.
Package: knxsonos
# knxsonos [![Build Status](https://travis-ci.org/TrondKjeldas/knxsonos.svg?branch=master)](https://travis-ci.org/TrondKjeldas/knxsonos) [![Latest PyPI version](https://img.shields.io/pypi/v/knxsonos.svg?style=flat)](https://pypi.python.org/pypi/knxsonos/) [![Number of PyPI downloads](https://img.shields.io/pypi/dm/knxsonos.svg?style=flat)](https://pypi.python.org/pypi/knxsonos/)Control a Sonos system from your KNX installation.Simple bridging between a KNX system and a Sonos installation.Specify KNX group addresses for triggering Sonos play/pause/volum/etc.Supports simple macros, to run multiple commands for the same group address.Uses [SoCo](https://github.com/SoCo/SoCo) for Sonos control.## Documentation### PrerequisitesA KNX IP router/gateway must be available and accessible (currently tested only with EIBD.)The SoCo python module must be installed (pip install soco)### InstallationThe easiest wat to install knxsonos is to use pip, command:>pip install knxsonos### ConfigurationThe configuration file is written in XML format.It defines a mapping between a KKNX group address, and one or mor Sonos commands.Such mappings can be defined either to apply to all zones, or to specific zones only.It is also possible to define macros, which are groups of commands that can be called upon from both mappings or other macros.See the knxsonos.config file for example configuration, with comments explaining the various parts.The configuration file must either be specified using the -c option, or be called knxsonos.config and be present in the current directory.
Package: knyfe
knyfe knyfe is a python utility for rapid exploration and preprocessing of datasets. Use it when you have some kind of dataset and you want to get a feel for how it is composed, run some simple tests on it, or prepare it for further processing. The great thing about knyfe is that you don’t have to know much about how your dataset is designed. You shouldn’t have to remember in which variable resides in which column of your data matrix or how yourstructsare nested. Just get shit done.Linkswebsite & documentationGitHub Repo
Package: ko2kana
ko2kanaTools for writing Korean and English pronunciation in katakana.Replace Korean and English with Katakana so that you can read them in the TTS Japanese model.
Typically, when you create a multilingual TTS, you organize the text with an IPA cleaner.
However, this method is awkward, inaccurate and if the pronunciation symbol is insufficient or absent, the voice is missing.
Therefore, only phonemes present in the TTS data were made close to the pronunciation of other languages.Installationpipinstallko2kanaUsagefromko2kanaimporttoKanas=toKana("안녕하세요.")print(s)'アンニョンーハセヨ'ReferencesIf you use our software for research, please cite:@misc{kim2023ko2kana,
  author = {Kim, Gyeongmin},
  title = {ko2kana},
  year = {2023},
  publisher = {GitHub},
  journal = {GitHub repository},
  howpublished = {\url{https://github.com/kdrkdrkdr/ko2kana}}
}```
Package: koaeda
한국어 문서KoAEDAUsing Korean Language AEDA EasilyInstall$pipinstallkoaedaHow to useBasic usefromkoaedaimportAEDAko_aeda=AEDA()text="이 주변에 맛집이 어디 있나요?"result=ko_aeda(text)print(result)>>이?주변에:맛집이;어디있나요?
Package: koala
KOALAKLayoutis an opensource and powerful mask design software. Thanks to its Ruby and Python APIs, programming extensions are available to the users. KlayOut mAsk Layout Automation (KOALA) simplifies the creation of new mask layouts by providing a higher-level interface and easy-to-use, pre-implemented designs.Documentation regarding the classes and methods implemented in KOALA can be foundhereMore information on KOALA and how KLayout works can be found in ourwikiExample scripts can be found in ourexample folderInstallationDownload and installAnacondaOpen the Anaconda Prompt (Anaconda3)Create a new environment specific for KOALA (for example, naming it "koala") by typingconda create --name koala pipand accept by typingyTypeconda activate koalato make the new environment activeTypepip install koalato install KOALA and all its dependencies(Optional) Install an Integrated Development Environment (IDE) for python. We recommend you to install the community version ofPyCharm.Open PyCharm, click at the bottom right to change your interpreter, and click onAdd interpreterOn the menu, click onConda Environmentand select the recently created KOALA environment. Your interpreter is now the one from the KOALA environmentContributingThis repository has been created by Imke Krauhausen, Charles-Théophile Coen, and Simone Spolaor. We are responsible for the development and maintenance of KOALA. If you wish to contribute, please contact us by email!
Package: koalafolio
koalafolioportfolio for cryptocoins with profit export for taxInstallation with PipEnvclone repoinstall python > 3.7install microsoft build toolshttps://visualstudio.microsoft.com/de/visual-cpp-build-tools/install pipenvuse pipenv to install dependenciesrun gui_root.pyInstallation with Pip(opt) installpython> 3.7 (check with python –version or python3 –version or python3.x –version)(opt) install pip (check with pip –version or pip3 –version)(opt) install microsoft build toolshttps://visualstudio.microsoft.com/de/visual-cpp-build-tools/install koalafolio for python 3!: (pip install koalafolio or pip3 install koalafolio or python3.x -m pip install koalafolio)run koalafolio from terminal (koalafolio or python -m koalafolio)(opt) update koalafolio (pip install koalafolio –upgrade)trade importimport trades from exchanges using their export filessupported exchanges:binance (xls)bitcoinde (csv)bitfinex (csv)bitstamp (csv)bittrex (csv)coinbase (buys, sells and merchant payouts)hitbtc (csv)idex (csv)kraken (csv)kuCoin (csv)okex (csv)poloniex (csv)exodus (v1/txs/.json)others could work as well but not testedcsv template can be created for manual importimport trades from exchanges using their API:supported exchanges:binancebittrexbitmexcoinbasecoinbaseprogeminipoloniexkrakenimport Rewards from Staking Addresssupported Chains (Blockdaemon Api)CardanoEthereumSolanaPolkadotPolygonNearAvalancheoptional arguments-h,--helpshow this help message and exit-v,--versionshow version of koalafolio-dDATADIR,--datadirDATADIRdirectory where user data should be stored. make sure
it is a valid and writable dir-uUSERNAME,--usernameUSERNAMEusername can be used to switch between different
portfolios. username will be added to Datafolder
(Data_username), so every user has its own settings,
trades, styles and so onportfolioload all historical prices fromCryptoComparefor profit calculationdisplay balance, … of all bought cryptocoinsexportexport profit made in a specific timeframe using FIFO-method (excel)trades can be splitted in wallets to seperate them for tax calculation. (FIFO for each wallet)language of export english and german (others can be added in translation.txt)CreditsThanks toCryptoComparePowered byCoinGeckoAPIGui based onQtThanks toRotki
Package: koalas
NOTE: Koalas supports Apache Spark 3.1 and below as it will beofficially included to PySpark in the upcoming Apache Spark 3.2. This repository is now in maintenance mode. For Apache Spark 3.2 and above, please use PySpark directly.pandas API on Apache SparkExplore Koalas docs »Live notebook·Issues·Mailing listHelp Thirsty Koalas Devastated by Recent FiresThe Koalas project makes data scientists more productive when interacting with big data, by implementing the pandas DataFrame API on top of Apache Spark.pandas is the de facto standard (single-node) DataFrame implementation in Python, while Spark is the de facto standard for big data processing. With this package, you can:Be immediately productive with Spark, with no learning curve, if you are already familiar with pandas.Have a single codebase that works both with pandas (tests, smaller datasets) and with Spark (distributed datasets).We would love to have you try it and give us feedback, through ourmailing listsorGitHub issues.Try the Koalas 10 minutes tutorial on a live Jupyter notebookhere. The initial launch can take up to several minutes.Getting StartedKoalas can be installed in many ways such as Conda and pip.# Condacondainstallkoalas-cconda-forge# pippipinstallkoalasSeeInstallationfor more details.For Databricks Runtime, Koalas is pre-installed in Databricks Runtime 7.1 and above. TryDatabricks Community Editionfor free. You can also follow thesestepsto manually install a library on Databricks.Lastly, if your PyArrow version is 0.15+ and your PySpark version is lower than 3.0, it is best for you to setARROW_PRE_0_15_IPC_FORMATenvironment variable to1manually.
Koalas will try its best to set it for you but it is impossible to set it if there is a Spark context already launched.Now you can turn a pandas DataFrame into a Koalas DataFrame that is API-compliant with the former:importdatabricks.koalasasksimportpandasaspdpdf=pd.DataFrame({'x':range(3),'y':['a','b','b'],'z':['a','b','b']})# Create a Koalas DataFrame from pandas DataFramedf=ks.from_pandas(pdf)# Rename the columnsdf.columns=['x','y','z1']# Do some operations in place:df['x2']=df.x*df.xFor more details, seeGetting StartedandDependenciesin the official documentation.Contributing GuideSeeContributing GuideandDesign Principlesin the official documentation.FAQSeeFAQin the official documentation.Best PracticesSeeBest Practicesin the official documentation.Koalas Talks and BlogsSeeKoalas Talks and Blogsin the official documentation.