Saravanan666/pypi-org huggingface dataset:
Package: powersgd
PowerSGDPractical Low-Rank Gradient Compression for Distributed OptimizationVideoAbstract:
We study gradient compression methods to alleviate the communication bottleneck in data-parallel distributed optimization. Despite the significant attention received, current compression schemes either do not scale well or fail to achieve the target test accuracy. We propose a new low-rank gradient compressor based on power iteration that can i) compress gradients rapidly, ii) efficiently aggregate the compressed gradients using all-reduce, and iii) achieve test performance on par with SGD. The proposed algorithm is the only method evaluated that achieves consistent wall-clock speedups when benchmarked against regular SGD with an optimized communication backend. We demonstrate reduced training times for convolutional networks as well as LSTMs on common datasets.Reference implementationThis is a reference implementation for the PowerSGD algorithm.Installation:pipinstallgit+https://github.com/epfml/powersgd.gitUsage:+ from powersgd import PowerSGD, Config, optimizer_stepmodel = torchvision.models.resnet50(pretrained=True)params = list(model.parameters())optimizer = torch.optim.SGD(params, lr=0.1)+ powersgd = PowerSGD(params, config=Config(+     rank=1,  # lower rank => more aggressive compression+     min_compression_rate=10,  # don't compress gradients with less compression+     num_iters_per_step=2,  #   # lower number => more aggressive compression+     start_compressing_after_num_steps=0,+ ))for each batch:loss = ...-     optimizer.zero_grad()loss.backward()-     optimizer.step()+     optimizer_step(optimizer, powersgd)PyTorch implementationPyTorch features an implementation of PowerSGD as acommunucation hookforDistributedDataParallelmodels.
Because of the integration with DDP, the code is more involved than the code in this repository.Research codeResearch code for the experiments in thePowerSGD paperis located underpaper-code.Selected follow-up work(Ramesh et al., 2021 - DALL-E)share valuable recommendations in using PowerSGD for large-scale transformer training.(Please submit a PR if you want to be included in this list.)ReferenceIf you use this code, please cite the followingpaper@inproceedings{vkj2019powersgd,
  author = {Vogels, Thijs and Karimireddy, Sai Praneeth and Jaggi, Martin},
  title = "{{PowerSGD}: Practical Low-Rank Gradient Compression for Distributed Optimization}",
  booktitle = {NeurIPS 2019 - Advances in Neural Information Processing Systems},
  year = 2019,
  url = {https://arxiv.org/abs/1905.13727}
}
Package: powershellmagic
powershellmagicis an IPython extension, modeled after IPython’s%%scriptmagic, that supports the execution of IPython cells written in
Windows PowerShell.InstallAs a Python package:$ pip install powershellmagicAs an IPython extension:In [1]: %install_ext https://raw.github.com/etgalloway/powershellmagic/master/powershellmagic.pyUseIn [1]: %load_ext powershellmagic

In [2]: %%powershell
   ...: Get-WMiObject -Class Win32_Process |
   ...:     Where-Object { $_.Name -like "*python.exe" } |
   ...:     Select-Object ProcessName, ProcessID, ParentProcessId |
   ...:     Format-Table -AutoSize
   ...:

ProcessName ProcessID ParentProcessId
----------- --------- ---------------
ipython.exe      5600            5616
python.exe       1740            5600
Package: powersimdata
PowerSimDataPowerSimDatais part of a Python software ecosystem developed byBreakthrough
Energy Sciencesto carry out power flow study
in the U.S. electrical grid.Main FeaturesHere are a few things thatPowerSimDatacan do:Provide a flexible modeling tool to create complex scenariosPerform investment cost studiesRun power flow study using interface to external simulation engineManage data throughout the lifecycle of a simulationA detailed tutorial can be found on ourdocs.Where to get itClone or Fork the source code onGitHubGet latest release from PyPi:pip install powersimdataDependenciesPowerSimDatarelies on several Python packages all available onPyPi. The list can be found in therequirements.txtorPipfilefiles both located at the root of this package.InstallationTo take full advantage of our software, we recommend that you clone/forkplugand follow the information
therein to get our containerized framework up and running. A client/server installation
is also possible and outlined in ourInstallation
Guide. Either
way, you will need a powerful solver, e.g. Gurobi, to run complex scenarios.Only a limited set of features are available when solely installingPowerSimData. If you choose this option, we recommend that you usepipenv:pipenvsync
pipenvshellsince the dependencies will be installed in an isolated environment. It is of course
possible to install the dependencies using the requirements file:pipinstall-rrequirements.txtLicenseMITDocumentationCode documentationin form of Python docstrings along with an overview of
thepackageare available on ourwebsite.Communication ChannelsSign upto our email list and
our Slack workspace to get in touch with us.ContributingAll contributions (bug report, documentation, feature development, etc.) are welcome. An
overview on how to contribute to this project can be found in ourContribution
Guide.
Package: powerspot
powerspotCommand line interface and API in Python for advanced and automated operations with Spotify, based on theclickandspotipypackages.Installation instructionsThis project uses Python >= 3.6.pip install powerspotUsageExamples of commands:# get followed artists from Spotify profile and write thempowerspotartistswriteartists.json# get new releases from those artists and save them in Spotify librarypowerspotartists-fartists.jsonreleasessave# show top tracks from recent activitypowerspottoptracks--termshortshow
Package: powerstring
Powerstring :zap::knot:WARNINGKeep in mind that the documentation of this
module is not finished yet. The same counts
for the module itself. Avoid using the beta
version!The Powerstring module provides many features for working with strings.Working with multiline strings in python can be very frustating. There's
an option by using backslash n and spaces which can be very confusing for
reading. Another option is creating multiline strings with three quotes.
The problem with that option is, that you have problems with the indention
and the code will look ugly.
This module provides a feature where you can create multiline strings without
destroying the overall look of the code. You can also style parts of the text,
insert horizontal rules, create lists and add comments in the text itself.This module also provides following features:swapping substrings within a stringreplacing substrings within a stringprogress counter/barhighlighted stringsansi sequencesContentsInstall the powerstring moduleThePowerstringclassSetting up a powerstringStyle textAdding text to a powerstringRemove ansi from a powerstringGuidelines for setting a title and descriptionInstall the powerstring modulepip install powerstringImport the powerstring module:importpowerstringaspswhen only using thepowerstringclassfrompowerstringimportPowerstringThe Powerstring classSetting up a powerstringsetup=Powerstring("""Setup -- General information for the setupusername :: John Doepassword :: pa0-@kB95$v-Z/~Kyemail :: john.doe@email.com""")print(setup)print()print(setup.title)print(setup.description)Output:username :: John Doe
password :: pa0-@kB95$v-Z/~Ky
email :: john.doe@email.com

Setup
General information for the setupNotice that the print function automatically
turns the arguments to string. If you want the
powerstring in string format use thestr()function.print(type(setup))print(type(str(setup)))Output:<class 'powerstring.Powerstring'>
<class 'str'>Style textThe default syntax the Powerstring class uses
ispowerstring.Syntax.Default. You can use
a different syntax by editing thesyntaxargument.All syntaxes and their function can be looked
uphere.Let's take a look at a few basic functions from
the default syntax:Titlessetup=ps.Powerstring("""[ Setup ][username](u) :: [John Doe]i[password](u) :: [pa0-@kB95$v-Z/~Ky]i[email](u)    :: [john.doe@email.com]iKeep in mind that the output won't be shown
correctly in markdown. Check out the docs or
copypaste the code.
Package: power-supply-manager
Power Supply ManagerDescriptionControl multiple networked power supplies from the same graphical application. Features:Connect to multiple bench-top power supply units over Ethernet (VXI11 or LXI protocols)Four ways to control power output:Individual channelsGroup any combination of channels to power simultaneouslyDefine power on/off sequences with configurable time delays in betweenPower all channels on/off simultaneouslyReal-time plots showing voltage and current measurements from each channel.Set voltage, current, over-voltage protection, over-current protection, and 4-wire control settings.Log voltage and current measurements to CSV files.Save and load multi-device configuration files to quickly restore settings.InstallationInstall from PyPI (recommended)Install pip package:pip install power-supply-managerMake sure the pip installation directory is on your system PATH:Linux / MacOS: Typically$HOME/.local/bin,/usr/bin, or/usr/local/binWindows: Typically<Python install dir>\ScriptsorC:\Users\<username>\AppData\Roaming\Python\Python<vers>\ScriptsRun application:power-supply-managerInstall from GitLabInstall the repository:git clone https://gitlab.com/d7406/power-supply-manager.gitInstallPoetrySetup virtual environment using Poetry:poetry installRun application:poetry run python power_supply_manager/power_supply_manager.pyContributingWe welcome contributions and suggestions to improve this application. Please submit an issue or merge requesthereAuthors and acknowledgmentDevBuildZero, LLCLicenseThis software is provided for free under the MIT open source license:Copyright 2022 DevBuildZero, LLCPermission is hereby granted, free of charge, to any person obtaining a copy of
this software and associated documentation files (the "Software"), to deal in
the Software without restriction, including without limitation the rights to
use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies
of the Software, and to permit persons to whom the Software is furnished to do
so, subject to the following conditions:The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.THE 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: powerterminal
power_terminalThings Python should have out of the box.This package was created when I realised that github copilot was writing most of the code for a terminal controller I was writing by itself. I realised that developers were writing this things by hand.UsageReferenceterminal.introduction(name, version, author)A short introduction for whatever program you're making.name: The name of the program.version: The version of the program.author: The author of the program, though, when left empty, will use the name of the creator of the package.terminal.clear()Clears the terminal, it's the equivalent of 'cls' on Windows' PowerShell or 'clear' in Bash.terminal.statement(string)Prints a string in green letters.terminal.debug(string)Prints a string in bright yellow, preceded by the "DEBUG: " prefix.terminal.error(string)Prints a string in bright red, preceded by the "ERROR: " prefix.terminal.restart()Restart's the program. It may be quite useful to avoid the use ofwhileloops in CLI programs.terminal.progress(done, total, length, string, fill, empty)Prints a progress bar to the terminal.done: The number (int) of actions that have been done up to this point.total: The total number of actions to be done during the execution of the progress bar.length: The width (in characters, assuming your terminal uses a monospace font) of the progress bar. It's not obligatory.string: A string to be displayed right below the bar. It's not obligatory.fill: The character the will fill up the progress bar. By default, it's the "█" character.empty: The character that will represent the "empty space" yet to be filled in the progress bar. By default, it's an empty string with a space. (" ")terminal.countdown(string, millisecons)Counts down in milliseconds.terminal.confirm(string, error_string)Asks the user to confirm or deny an action (Y/n).CreditsCreated by Matheus Goulart.
Package: powertool
powertoolPython utility to wake up(wol) and suspend Linux machines remotelyFree software: MIT licenseFeaturesWake up remote machines using hostname/ip.Suspend remote machines using hostnameWake on lan (WOL)Wake up feature uses WOL magic packet. Since mac addresses are hard to remember/use, this tool lets you wake up or suspend machines
by their name or IP.First register your machinespowertool register -b 192.168.1.255 aa:bb:cc:dd:ee:ff you@host-b Broadcast_IP- this is the subnet on which your machine’s ip is. If your machine’s ip is 192.168.1.xxx, then this is 192.168.1.255(default)aa:bb:cc:dd:ee:ff - your machines’ mac address. You can find this on your machine or on the router’s device list.you@host - your username on the remote host - this is used by the sleep function to do a passwordless ssh and run pm-suspend.registersaves machine details so that you can later do this:powertool wol host
powertool sleep hostregisterjust saves machine details to a~/.powertoolas a json file.Sleep/suspendSleep/suspend feature has quite a few dependenciesyou should have password-less ssh to the remote host. There are a lot of
guides on the internet on how to set this up - like this onehttp://www.linuxproblem.org/art_9.html. Verify that it works by runningssh
user@host- you should not be prompted for a password.You should havepm-utilspackage on your remote machinehttp://manpages.ubuntu.com/manpages/precise/man8/pm-action.8.htmlYour user should be able to runsudo pm-suspendwithout being prompted for
password. To set this up, login to the remote machine and do the following:sudo visudo
# add the following - where user is your username on the remote machine
user ALL=(ALL) NOPASSWD: /usr/sbin/pm-suspendCreditsThis package was created withCookiecutterand theaudreyr/cookiecutter-pypackageproject template.History0.3.0 (2018-05-04)Dependency updates0.1.0 (2017-06-07)First release on PyPI.
Package: powertools
another standard library extensionHome-page:https://github.com/philipov/powertoolsAuthor: Philip Loguinov
Author-email:philipov@gmail.comLicense: MIT License
Description: powertools
Platform: UNKNOWN
Classifier: Environment :: Console
Classifier: Environment :: Other Environment
Classifier: Intended Audience :: Information Technology
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: System Administrators
Classifier: Intended Audience :: End Users/Desktop
Classifier: Intended Audience :: Customer Service
Classifier: License :: Other/Proprietary License
Classifier: Operating System :: Microsoft :: Windows :: Windows 7
Classifier: Operating System :: POSIX :: Linux
Classifier: Programming Language :: Python :: 3.6
Package: powertools-oas-validator
powertools-oas-validatorIntroductionPowertools for AWS Lambda (Python)is an awesome set of tools for supercharging your lambdas. Powertools supports validating incoming requests (or event in PT lingo) againstJSONSchemawhich is not ideal if you are using OpenAPI schemas to define your API contracts.ThePowertools OAS Validatoradds a decorator that you can use with your lambda handlers and have the events validated against an OpenAPI schema instead.InstallationPoetry:poetry add powertools-oas-validatorPip:pip install powertools-oas-validatorUsageDecorate your functions with@validate_request(oas_path="openapi.yaml")and your request/event (and schema) will be validated on a request.Minimal ExamplefromtypingimportDictfromaws_lambda_powertools.event_handlerimportAPIGatewayRestResolver,Responsefromaws_lambda_powertools.utilities.typingimportLambdaContextfrompowertools_oas_validator.middlewareimportvalidate_requestapp=APIGatewayRestResolver()@app.post("/example")defexample()->Response:...@validate_request(oas_path="openapi.yaml")deflambda_handler(event:Dict,context:LambdaContext)->Dict:response=app.resolve(event,context)returnresponseError HandlingIf the validation fails, the decorator throws aSchemaValidatonErrorwith relevant information about the failed validation.Example of aSchemaValidatonError:fromaws_lambda_powertools.utilities.validationimportSchemaValidationErrorSchemaValidatonError(name="test-path.test-endpoint.requestBody[param_1]",path=["test-path","test-endpoint","requestBody","param_1"],validation_message="'not an integer' is not of type 'integer'.",message="'not an integer' is not of type 'integer'",rule="int",rule_definition="type",value="'not an integer'")ArticlesOpenAPI Spec and AWS Lambda PowertoolsKnow IssuesWhile all validation errors are caught, there is only limited information about the various errors. The decorator will try its best to throw aSchemaValidatonError(same as the Powertools validator would), with as many of the optional attributes as possible.In summary, it is possible that not allSchemaValidationErrors's will have the correct name and path attributes.ContributionsPlease make a pull request and I will review it ASAP.
Package: powertop
A wrapper to usePowerTOPeasily in
Python.Also provides a command to get the results as JSON.Installinstall PowerTOP (e.g.sudo aptitude install powertopon
Debian-based distributions)sudo python3-mpip install powertopShort exampleRun as root, in a Python 3 shell:import powertop
import json

measures = powertop.Powertop().get_measures(time=1)

print(json.dumps(measures['Device Power Report'], indent=4))Or, as a shell command:sudo python3 -m powertopOutputs:[
    {
        "Usage": "66.4%",
        "Device Name": "CPU core"
    },
    {
        "Usage": "66.4%",
        "Device Name": "DRAM"
    },
    {
        "Usage": "66.4%",
        "Device Name": "CPU misc"
    },
    {
        "Usage": "18.8 ops/s",
        "Device Name": "GPU misc"
    },
    {
        "Usage": "18.8 ops/s",
        "Device Name": "GPU core"
    },
 ...How to useFirst, call PowerTOP:import powertop

measures = powertop.Powertop().get_measures(time=1, iterations=1)SectionsYou can then access sections. They may vary across systems and PowerTOP
versions.On my computer, they are:Top 10 Power ConsumersProcessor Idle State ReportProcessor Frequency ReportOverview of Software Power ConsumersDevice Power ReportProcess Device ActivitySoftware Settings in Need of TuningUntunable Software IssuesOptimal Tuned Software SettingsYou can find yours with this command:sudo python3 -c "import powertop; measures = powertop.Powertop().get_measures(time=1); print(measures.keys())"Reading sectionsEach section is a list JSON-like data (strings, lists and dicts).Runsudo python3-mpowertopto get a taste of what it looks like.
Package: poweruse
This is a simply library that makes the Math library easy to use.
We also added more functions to this, such as basic socket functions.The functions include:osc(command) -> run cmd commandctime() -> return current timevi(filename, extension) --> make VI filerunning() --> cmd top commandfolder(name) --> create a namemalDB() --> EDU Purposes only.cdr(dir) --> cd to dircd() --> cd commandls() --> ls commandfilec(fname, ext) --> file makegit() --> git initgpush() --> git pushgcommit() -- > git commitip() - Get ip addrwait(num) - time.sleep() function simplifiedlibs() --> Easier version of pip freeze >> ~.txtadd(x, y)sub(x, y) - subtractmul(x, y) - multiplydiv(x, y) - dividepower(x, y) - x^yintdiv(x, y) - x // ymodl(x, y) - x % yvalue(x, y) - < or >acos(x) - acosacosh(x) - acoshasin(x) - asinasinh(x) - asinhatan(x) - atanatan2(x) - atan2ceil(x) - ceiling functionscomb(x) - combcopsig(x) - copysigncos(x) - cosincosh(x) - coshdeg(x) - degreesdist(x, y) - distanceerf(x) - error funcexp(x) - expexpm(x) - expm1abs(x) - abosult valuefact(x) - factorialflr(x) - floor funcfmod(x) - fmodfrexp(x) - frexpgsum(x) - gsumgamma(x) - gammagcd(x, y) - gre. com. div.hypot(x) - hypoticl(c, x) - iscloseifin(x) - isfiniteiinf(x) - isInfiniteinan(x) - isNaNflsqrt(x) - floorSqrtlog(x) - logarithmslog1(x) - log1plog2(x) - log2radc(x) - convert to radianssin(x)  - sinsinh(x) - sinhsqrt(x) - sqrttan(x) - tantanh(x) - tanhtrunc(x) - trunce() - euler numberpi() - 3.14.....tau() - number print
Package: power-vision-AI-of-the-tiger
Power Vision AI of the TigerOverviewPackage created for a school project in computer vision, dedicated to detect falls in a video. The accuracy of fall detection was evaluated to be around 95%.Table of ContentsInstallationUsageTraining on ImagesLicenseInstallationProvide instructions on how to install your package. Include any dependencies that need to be installed and any special setup steps.pipinstallpower-vision-AI-of-the-tigerUsageYou can run the video classifier on the video of your choice.power_vision_AI_of_the_tiger_classify-i[path_to_input_video]-o[path_to_output_video]Training on imagesYou can train a model on new images by using :power_vision_AI_of_the_tiger_train.
For more information, use the flag--helpof the script :power_vision_AI_of_the_tiger_train--helpYou can also evaluate the quality of the model using :power_vision_AI_of_the_tiger_evaluate.
For more information, use the flag--helpof the script :power_vision_AI_of_the_tiger_evaluate--helpLicenseThis project is licensed under theGNU General Public License v2.0. See theLICENSEfile for details.
Package: powerwallstats
Powerwall 2 StatsThe library powerwallstats provides a simple class to access a
Powerwall 2 directly from your local Powerwall gateway, not Tesla's
cloud.To installpip install powerwallstatsExample of useexamples/show_powerwallstats.pyprovides a simple example use case.  You will need need to setup
customer email and password information on your Powerwall: follow theTesla documentationto do this.Testing statusThis has been tested on 4th March 2021 against a Powerwall 2 running
firmware version 20.49.0 that requires customer login credentials to
be presented.  Tested using python3.ReferencesAlas Tesla do not appear to have released API documentation to
customers, which seems short sighted.  Details of the Tesla gateway
API have been reverse engineered and further details are available
fromhttps://github.com/vloschiavo/powerwall2
Package: power-watcher
PowerWatcherPython3 context manager to log power consumption of an ML-pipeline running on a Nvidia-GPU.Installationpip install power-consumptionUsagefrom power_watcher import PowerWatcher


with PowerWatcher() as pw:
    ...
    your pipeline
    ...

total_consumption = pw.total  # total power consumptionRepohttps://github.com/WGussev/PowerWatcherPyPIhttps://pypi.org/project/power-watcher/
Package: powerxrd
powerxrdA Python package made to handle powder XRD (and XRD) data.
The only known open-source Github project with a Rietveld refinement method in development.InstallationpipinstallpowerxrdJust starting? Check out the below optionsContributingFork it (https://github.com/your-github-user/powerxrd/fork)Create your feature branch (git checkout -b my-new-feature)Commit your changes (git commit -am 'Add some feature')Push to the branch (git push origin my-new-feature)Create a new Pull Request
Package: powfacpy
powfacpyThis package is a wrapper around the Python API of PowerFactory© (power system simulation software by DIgSILENT) with improved syntax and functionality compared to the native API. Please have a look at thedocsfor further information.This package is under active development and mainly maintained by Fraunhofer IEE. You are welcome to contribute or feel free to get in touch (contact:simon.eberlein@iee.fraunhofer.de).