Saravanan666/pypi-org huggingface dataset:
Package: klik-bencode
Bencoder Decoder LibraryA python library to decode the Bencode String to native Python data types i.e int,str,list and dictionary.How to use:There are two ways to use this Library.a)Clone GitHub Repo:Clone the github repohttps://github.com/malhotraguy/klik_interviewfrom bencode.bencode_decoder import decoder
  bencode_data = "8:robots54"
  decoded_value = decoder(bencode_data=bencode_data)
  print(decoded_value)
  # robots54
  bencode_data = "l5:green3:red4:bluee"
  decoded_value = decoder(bencode_data=bencode_data)
  print(decoded_value)
  # ["green", "red", "blue"]For more examples refer to tests folder.b)Install as python library:Install the library:pip install klik-bencode==0.1from bencode.bencode_decoder import decoder
 bencode_data = "8:robots54"
 decoded_value = decoder(bencode_data=bencode_data)
 print(decoded_value)
 # robots54
 bencode_data = "l5:green3:red4:bluee"
 decoded_value = decoder(bencode_data=bencode_data)
 print(decoded_value)
 # ["green", "red", "blue"]
Package: kliko
AboutKLIKO is a specification, validator and parser for the KLIKO Scientific Compute Container
specification. It enables a developer of scientific software to structure the input,
output and parameters of a dockerized compute task. KLIKO is written in Python.InstallationYou can install Kliko inside a docker container or just on your system:$ python setup.py installor from pypi:$ pip install klikoUsagefrom a Python script inside a container:from kliko.validate import validate
parameters = validate()or to check if a kliko file has a valid syntax:$ kliko-validate /kliko.ymlor try to run the docker image from the examples folder directly:$ kliko-run kliko/minimal --help

    usage: kliko-run [-h] [--target_folder TARGET_FOLDER] --choice {second,first}
                     --char CHAR [--float FLOAT] --file FILE --int INT
                     image_name

    positional arguments:
      image_name

    optional arguments:
      -h, --help            show this help message and exit
      --target_folder TARGET_FOLDER
      --choice {second,first}
                            choice field (default: second)
      --char CHAR           char field, maximum of 10 chars (default: empty)
      --float FLOAT         float field (default: 0.0)
      --file FILE           file field, this file will be put in /input in case of
                            split io, /work in case of join io
      --int INT             int fieldDocumentationThe documentation can be found onhttp://kliko.readthedocs.orgExampleThere are examples of a kliko and parameters file in theexamplesfolder.Travis build status
Package: klimalogger
Simple python client for logging measured climate data to InfluxDb.Additional dependenciesDependenciesSensor TypeCommandBME680pip3 installadafruit-circuitpython-bme680BMP085pip3 install Adafruit_BMPBMP3xxpip3 installadafruit-circuitpython-bmp3xxSGP30pip3 installadafruit-circuitpython-sgp30SGP40pip3 installadafruit-circuitpython-sgp40SHT1x (no I2C)download and installhttps://bitbucket.org/lunobili/rpisht1x.gitSHT4xpip3 installadafruit-circuitpython-sht4xBuild and uploadpython3-mbuildpython3-mpipinstall--upgradetwinepython3-mtwineuploaddist/klimalogger-0.6.8.tar.gz
Package: klimits
Learning Robot Trajectories subject to Kinematic Joint ConstraintsThis python package enables learning of robot trajectories without exceeding limits on the position, velocity, acceleration and jerk of each robot joint.
Movements are generated by mapping the predictions of a neural network to safely executable joint accelerations. The time between network predictions must be constant, but can be chosen arbitrarily.
Our method ensures that the kinematic constraints are never in conflict, which means that there is at least one safely executable joint acceleration at any time.This package provides the code to compute the range of safely executable joint accelerations.InstallationThe package can be installed by runningpip install klimitsTrajectory generationTo generate a random trajectory with limited jerk, acceleration, velocity and position runpython -m klimits.test_trajectory_generationSeveral parameters can be adjusted to modify the generated trajectory. E.g:python -m klimits.test_trajectory_generation --time_step=0.1 --pos_limits='[[-2.96705972839, 2.96705972839], [-2.09439510239, 2.09439510239]]' --vel_limits='[[-1.71042266695, 1.71042266695], [-1.71042266695, 1.71042266695]]' --acc_limits='[[-15, 15], [-7.5, 7.5]]' --plot_joint='[1, 0]' --pos_limit_factor=0.9 --vel_limit_factor=0.8 --acc_limit_factor=0.7 --jerk_limit_factor=0.6 --trajectory_duration=20 --plot_safe_acc_limitsRunpython -m klimits.test_trajectory_generation --helpfor further details on the optional arguments.Further readingA preprint of the corresponding ICRA 2021 publication is available atarXiv.org.Further information on the implementation can be foundhere.This library is used bysafeMotionsto learn collision-free reaching tasks via reinforcement learning.VideoDisclaimerTHE 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. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
Package: klingon-serial
Klingon Serial Python ModuleOverviewTheklingon_serialPython module is designed to generate a unique hexadecimal
serial number, avoiding serial conflicts in a distributed environment. The
serial number is a concatenation of the machine's MAC address, the process ID
(PID), and the current time in epoch format with millisecond precision. The
module aims to offer a robust method for generating serials that are virtually collision-free.InstallationTo install the module, you can usepip:pipinstallklingon_serialSerial ComponentsMAC Address: A unique identifier assigned to network interfaces for communications. 12 characters in hexadecimal.Process ID (PID): Unique ID for each running process. Up to 6 characters in hexadecimal.Timestamp: Millisecond-precision epoch time. Up to 10 characters in hexadecimal.These components are concatenated to form a unique serial number.UsageHere is how you can use theklingon_serialmodule:importklingon_serial# Generate a unique serial numberunique_serial=klingon_serial.generate_serial()print(f"Generated Serial:{unique_serial}")Serial Number StructureThe generated serial number has the following structure:[ 12 characters MAC ][ Up to 6 characters PID ][ 10 characters Timestamp ]ExampleAn example serial number might look like this:02C3F642A1EC3A4B9B0985F53ETestingTo run the test suite, you can use:python-munittesttests/test_klingon_serial.pyContributingFeel free to fork this repository and submit pull requests for improvements or additional features.
Package: klink
klink - A Simple & Clean Sphinx ThemeKlink is asimpleandcleantheme for creatingSphinx docs. It is heavily inspired by the beautifuljrnl theme. It also supports embeddingIPython
Notebookswhich can be mighty useful.For a live demo, please visitour docs.OptionsHere are the theme options. They should be added to the html_theme_options in
yourconf.pyfile.githubThe github address of the project. The format is name/project
(pmorissette/klink).logoThe logo file. Assumed to be in the _static dir. Default is logo.png. The logo
should be 150x150.analytics_idYour Google Analytics id (usually starts with UA-…)IPython Notebook IntegrationWith the klink helper functionconvert_notebooks(), all notebooks will be
converted to .rst so that they can be included in your docs. This includes all
output including images. It’s a very convenient way to create Python docs!All you have to do is create notebooks within your source directory (same directory
as your conf.py file). Then, you add a call to klink.convert_notebooks() in your
conf.py. You can also mix inMardowncells orRaw NBConvertcells in
your workbook. These will be converted to rst as well.If you use the Raw NBConvert type cells, add a blank line at the start. There
seems to be a bug in the rst conversion and if the cell does not begin with a
blank line, you may run into some issues.Using a Raw NBConvert cell with rst text inside is convenient, especially if you
want to have links to other parts of your Sphinx docs.InstallationAssuming you have pip installed:$pipinstallklinkThat’s it.UsageIn your docs’conf.pyfile, add the following:importklinkhtml_theme='klink'html_theme_path[klink.get_html_theme_path()]html_theme_options={'github':'yourname/yourrepo','analytics_id':'UA-your-number-here','logo':'logo.png'}Klink also comes with a useful helper function that allows you to integrate an
IPython Notebook into a .rst file. It basically converts the Notebook to .rst
and copies the static data (images, etc) to your _static dir.If you have IPython Notebooks that you would like to integrate, use the
following code to yourconf.py:klink.convert_notebooks()Once the conversion is done, you will have a .rst file with the same name as
each one of your notebooks.NOTE: Place your notebooks in your docs’ source dir.Now all you have to do is use theincludecommand to insert them into your
docs.CustomizationObviously, some of you will want to customize the theme. The easiest way to
achieve this is to clone the repo into your _themes folder (create it if it does
not exist in your docs’ source dir). To change the style, I recommend editing
the LESS files themselves. You will also need lessc to convert from less to css.
See the css command in the Makefile for an example.You may also want to explore the option of usinggit subtree. Here is a goodintro tutorial.You will also need to change your conf.py file. The following settings should
work:html_theme = 'klink'
html_theme_path ['_themes']
html_theme_options = {
    'github': 'yourname/yourrepo',
    'analytics_id': 'UA-your-number-here',
    'logo': 'logo.png'
}LicenseMIT
Package: klio
TheklioLibraryThe library for implementing Klio-ified Apache Beam transforms withdecorators,helper transforms, and leverage Klio’smessage-handling logic.As thekliolibrary isnotmeant to be installed directly, check out theinstallation guidefor how to setup installation.
There is also theuser guideand theAPI documentationfor more information.What is Klio?Klio is anecosystemthat allows you to process audio files – or any binary files – easily and at scale.Klio jobs areopinionateddata pipelines in Python (streaming or batch) built uponApache Beamand tuned for audio and binary file processing.Klio was built by Spotify to run our large-scaleaudio intelligence systemsand is used by teams of engineers and audio researchers to help develop and deploy next generation audio algorithms.Read more about Kliohere.Get StartedCheck out ourQuick Startguide on how to start using Klio.ResourcesHave a look at ourcomplete documentation.Check out ourcontributors’ guide.Join the#kliochannel in theSpotify FOSS Slack organization.Read up on some of ourFAQs.Review ourCode of Conduct- this is how we roll.Release Information22.3.0 (2022-03-04)No changes - bump version to sync with22.3.0release.Full Changelog.
Package: klio-cli
Theklio-cliThe CLI is the main entrypoint for users in interacting with a Klio job.
This CLI is used for creating, deploying, testing, and profiling of Klio jobs, among other helpful commands.Check out theinstallation guidefor how to setup installation.
There is also theuser guideand theAPI documentationfor more information.What is Klio?Klio is anecosystemthat allows you to process audio files – or any binary files – easily and at scale.Klio jobs areopinionateddata pipelines in Python (streaming or batch) built uponApache Beamand tuned for audio and binary file processing.Klio was built by Spotify to run our large-scaleaudio intelligence systemsand is used by teams of engineers and audio researchers to help develop and deploy next generation audio algorithms.Read more about Kliohere.Get StartedCheck out ourQuick Startguide on how to start using Klio.ResourcesHave a look at ourcomplete documentation.Check out ourcontributors’ guide.Join the#kliochannel in theSpotify FOSS Slack organization.Read up on some of ourFAQs.Review ourCode of Conduct- this is how we roll.Release Information22.3.0 (2022-03-04)No changes - bump version to sync with22.3.0release.Full Changelog.
Package: klio-core
Theklio-corePackageA library of common utilities, including the Klioprotobuf definitionsand configuration parsing.As theklio-corepackage isnotmeant to be installed directly, check out theinstallation guidefor how to setup installation.
There is also theuser guideand theAPI documentationfor more information.What is Klio?Klio is anecosystemthat allows you to process audio files – or any binary files – easily and at scale.Klio jobs areopinionateddata pipelines in Python (streaming or batch) built uponApache Beamand tuned for audio and binary file processing.Klio was built by Spotify to run our large-scaleaudio intelligence systemsand is used by teams of engineers and audio researchers to help develop and deploy next generation audio algorithms.Read more about Kliohere.Get StartedCheck out ourQuick Startguide on how to start using Klio.ResourcesHave a look at ourcomplete documentation.Check out ourcontributors’ guide.Join the#kliochannel in theSpotify FOSS Slack organization.Read up on some of ourFAQs.Review ourCode of Conduct- this is how we roll.Release Information22.3.0 (2022-03-04)No changes - bump version to sync with22.3.0release.Full Changelog.
Package: klio-devtools
Theklio-devtoolsPackageA collection of utilities to help aid the development of Klio.
This is meant to be used bydevelopersandcontributorsof Klio, not by users for Klio jobs.If you’re interested in contributing to Klio, please check out ourcontributor’s guide.What is Klio?Klio is anecosystemthat allows you to process audio files – or any binary files – easily and at scale.Klio jobs areopinionateddata pipelines in Python (streaming or batch) built uponApache Beamand tuned for audio and binary file processing.Klio was built by Spotify to run our large-scaleaudio intelligence systemsand is used by teams of engineers and audio researchers to help develop and deploy next generation audio algorithms.Read more about Kliohere.Get StartedCheck out ourQuick Startguide on how to start using Klio.ResourcesHave a look at ourcomplete documentation.Check out ourcontributors’ guide.Join the#kliochannel in theSpotify FOSS Slack organization.Read up on some of ourFAQs.Review ourCode of Conduct- this is how we roll.Release Information0.1.1 (2020-12-03)Add changes resulting from moving common klio-cli and klio-exec options to coreFull Changelog.
Package: klio-exec
Theklio-execPackageThe executor –notmeant to be used directly by the user – is a CLI that launches a pipeline from within a job’s Docker container (a.k.a. an Apache Beam’s“driver”).
Many commands from theklio-clidirectly wrap to commands in the executor: aklio-clicommand will set up the Docker context needed to correctly run the pipeline via the associated command withklio-exec.
The Docker context includes mounting the job directory, sets up environment variables, mounting credentials, etc.As theklio-execpackage isnotmeant to be installed directly, check out theinstallation guidefor how to setup installation.
There is also theuser guideand theAPI documentationfor more information.What is Klio?Klio is anecosystemthat allows you to process audio files – or any binary files – easily and at scale.Klio jobs areopinionateddata pipelines in Python (streaming or batch) built uponApache Beamand tuned for audio and binary file processing.Klio was built by Spotify to run our large-scaleaudio intelligence systemsand is used by teams of engineers and audio researchers to help develop and deploy next generation audio algorithms.Read more about Kliohere.Get StartedCheck out ourQuick Startguide on how to start using Klio.ResourcesHave a look at ourcomplete documentation.Check out ourcontributors’ guide.Join the#kliochannel in theSpotify FOSS Slack organization.Read up on some of ourFAQs.Review ourCode of Conduct- this is how we roll.Release Information22.3.0 (2022-03-04)FixedFix bug when pass thru PCollection is None. For example when a user would like to remove their data input configuration entirely from the job’s configuration.Full Changelog.
Package: klip-nav
Kindle cLIPpings NAVigatorOpinionated TUI Python program to explore Kindle clippings on a book-to-book
basis.It was written to encompass my workflow where I need easy access to
copy-to-clipboard for note/highlight contents (useful for making flashcards).Installationpip install klip_navor if on a distro without globalpip(like Debian Bookworm) use a helper
likepipx:pipx install klip_navUsageklip_nav CLIPPINGS_FILEKeybindingsVim keybindings (hjkl/u/d) or arrow keys if using keyboard,Enterto
select,qto quit. The mouse can also be used to scroll and click through
entries.
Package: klipper-backup-manager
Klipper Backup ManagerTable of ContentsInstallationLicenseUseIssuesInstallationpip install klipper-backup-managerLicenseklipper-backup-manageris distributed under the terms of theGPL-3.0-or-laterlicense.UseThe interface is simple. Settings are controlled by thekbm.yamlfile in ~/.kbmlocal, which will be automatically created if it doesn't exist.Usage: kbm-tool [OPTIONS]Archive options: [exactly 1 required]Specify whether to back up or restore files.-b, --backup   Backs up your selected target.-r, --restore  Restores your selected target.Target options: [exactly 1 required]Specify which files to back up or restore.-c, --config   Backs up Klipper configuration files.-g, --gcode    Backs up gcode files.Other options:--help         Show this message and exit.IssuesPlease open an issue on GitHub if you have any problems.
Package: klipper-klippy-l
Klipper-KlippyThis is a python-packaged version of the python component ofKlipper.Differences from vanilla klipperSupports "extras" modules from other packges in the PYTHONPATH. Give a full name of the module as the type in a config file to use this.Supports setting group and mode on the linux mcu's ptyContains a tweak for the arm linker script to support building on a broader spec of newlib versionsCommandsKlippy can be invoked asklipper-klippyorklipper_klippy.
Older versions of this usedklippy, but that was already in use by other packages, and was renamed.
Package: klipper-repl
klipper-replThe missing Klipper command line.klipper-replis a command line reimplementation of the browser-based G-Code
console implemented by Klipper frontends likeFluiddandMainsail. Its features include:Automatic reconnection if Klipper restarts or is unavailableScripting supportMultiple G-Code commands per line -- use,as a separatorSyntax highlighting for both G-Code and user-defined macrosTab autocompletion for user-defined macrosM112 emergency stop processingSupport for multiple printers viaGNU
ParallelInstallingVia a Nix flakeIf you have theNix package manager, this package is
available as aNix flake. An exampleflake.nixfor a host running Klipper is:{inputs ={nix-doom-emacs.url ="github:unjordy/klipper-repl";};outputs ={self,nixpkgs,klipper-repl,...}:{nixosConfigurations.klipperHost =nixpkgs.lib.nixosSystem{system ="x86_64-linux";modules =[{environment.systemPackages =[klipper-repl.packages.${system}.default];}];};};}You can also runklipper-replwithout installing it usingnix rungithub:unjordy/klipper-replVia pippipinstallklipper-replUsageRunning interactivelyAssumingklipper-replis running on the same host you're currently logged
into, and that yourKlipper APIsocker is located at/run/klipper/api, you can get an interactive G-Code REPL
with:klipper-repl/run/klipper/apiUsage in scriptsYou can evaluate one line of G-Code as follows. Note that you can use the,character to incorporate multiple G-Code commands into one line, and that G-Code
is case-insensitive (but generally gets converted to uppercase by Klipper).klipper-repl/run/klipper/apig28,screws_tilt_calculateEmergency stopTyping the commandm112intoklipper-replwill immediately discard the rest
of the command buffer and send an emergency stop signal to Klipper.Running remotelyklipper-repldoesn't provide any of its own facilities for operating on remote
systems. Instead, installklipper-replon each of your Klipper hosts and usesshto run it remotely. For example, to get a remote interactive REPL:sshklipper@klipper-host-tklipper-repl/run/klipper/apiNote that the-targument tosshallocates a TTY forklipper-repl, which
it needs to properly render its prompt.For convenience, it's recommended to create a shell function or script that runsklipper-replfor a specific Klipper host and socket. For example:#!/usr/bin/env bashsshklipper@klipper-host-tklipper-repl/run/klipper/api$@Save this as something likeklipper-host-repland mark it executable, and you
can use it exactly like you wouldklipper-repl.Sending commands to multiple printersYou can combineklipper-replwithGNU
Parallelto run G-Code commands across
multiple printers and multiple Klipper hosts. GNU Parallel is an incredibly
flexible way to run multiple commands simultaneously and I highly recommend
reading its manual, but an example of using it withklipper-replto control
multiple printers is:parallelklipper-repl/run/klipper/api-{}:::printer1printer2
Package: klippiesncola
klippies and cola : Link your team's call logs, recordings and mattersklippies and cola (Made in South Africa).Manage your clips and callers with the swiss army knife for your Debt Collection & tracing Call Center.FeaturesEasily allocate and visualise matters onTrello,Bulk download call recordings from yourSwitchtelVOIP/PBX account.1. Install klippiesncolaInstall klippiesncola and run it:pipinstallklippiesncola2. Set environment variablesexportSWITCHTEL_USERNAME='changeme'exportSWITCHTEL_PASSWORD='changeme'exportSWITCHTEL_VPBXNAME='changeme'exportSWITCHTEL_VPBXID='changeme'3. Import klippiesncola and test switchtel moduleimportklippiesncolarecordings=klippiesncola.switchtel.CallRecording()#loads Switchtel using configured  env variablestodays_recordings=recordings.list('2020-08-25')#loads all calls from date.
Package: klippy
KlippyA command line utility that acts like a cloud clipboard.InstallationpipinstallklippyUsage# Find helpklippy--help
klippyconfigure--help
klippycopy--help
klippypaste--help# Configure namespace name and Redis credentials# To share a single Redis server among different people# or have multiple clipboards, use different namespaces.klippyconfigure# Copy data to the cloud clipboard (Redis database)klippycopyfile.png
klippycopy<file.txtecho"$PATH"|klippycopy# Paste data from the clipboard (Redis database)klippypastefile.png
klippypaste>file.txt
klippypaste|catWishlistIntroduce clipboard historyContributingPull requests are welcome. For major changes, please open an issue first to discuss what you would like to change.Please make sure to update tests as appropriate.LicenseThis project is licensed under the MIT License - see theLICENSEfile for details
Package: klivi
klivi"Hate write desktop app in native?, then just use klivi!"tutorialinstall klivipip install kliviklivi support webviewpython -m klivi run_webview [html_file].htmlin the futureklivi plan support native-like-app with a language called klivi guiexample<!-- file name: main.khtml -->
<window>
    <button>Hello klivi</button> # coming soon
</window>to run itpython -m klivi run_native main.khtml # coming soonContributionsplease read our updated contributing guide [https://github.com/Ardustri/klivi/blob/master/CONTRIBUTING.md] firstwarning: ⚠️ project still in development