Saravanan666/pypi-org huggingface dataset:
Package: gym-video-streamer
Gym Video StreamerA Video Streaming Wrapper for OpenAI's Gym EnvironmentsNow you can Live Stream the Agent's learning behavior to Twitch/YouTube from Google Colab while training these Agents.What’s In This DocumentInstallationImports and UsageSetup for different type of Gym EnvsLicenseInstallation!pipinstallgym-video-streamerAnd if you already havegym-video-streamerthen upgrade it by this command.!pipinstall--upgradegym-video-streamerImports and Usageimportgymfromgym_video_streamerimportSetupVirtualDisplayfromgym_video_streamerimportVideoStreamer# Streaming WrapperNow Setup the Virtual Display (only required for Google Colab):SetupVirtualDisplay()Define your live stream information:# stream_info dictionary should be in this format onlystream_info={"URL":"rtmp://live.twitch.tv/app/",# example of Twitch URL"secret":"--- secret here ---"}Initialize the gym env and pass it to the custom wrapper:# ---- {For Classic-control gym envs} ----env=VideoStreamer(gym.make("CartPole-v1"),stream_info)*If you don't passstream_infothen it will simply store the video locally in thevideosdirectory.Test the setup (running 100 episodes for testing):try:observation=env.reset()i=0whileTrue:ifi==100:breakenv.render()# important to call render method on envaction=env.action_space.sample()observation,reward,done,info=env.step(action)ifdone:env.reset()i+=1exceptExceptionase:print(e)finally:env.close()Setup for different type of Gym EnvsClassic control Gym Envs: As we have seen in the above example this type of works without any extra installation/setup.Box2D Gym Envs: For this type of envs you need to install the following packages:!pipinstallbox2dbox2d-pyAtari Gym Envs: Using this type of envs on Google Colab you, need some extra setup to make them working. When I tried, it gave me the following errorException: ROM is missing for breakout, see https://github.com/openai/atari-py#roms for instructions. So if you know how to setup this env on Colab then do let me know ✌🏻.MuJoCo & Robotics Gym Envs: Now for this type of envs, you need to setup the MuJoCo on Colab. And again I haven't done this but I found a resource that will help youSetup Mujoco-py on Linux.LicenseLicensed under theMIT License.
Package: gym-wordle
Gym-WordleAn OpenAI gym compatible environment for training agents to play Wordle.User-input demo of the environmentInstallationMy goal is for a minimalist package that lets you install quickly and get on
with your research. Installation is just a simple call topip:$ pip install gym_wordleRequirementsIn keeping with my desire to have a minimalist package, there are only three
major requirements:numpygymsty, a lovely little package for stylizing text in terminalsUsageThe basic flow for training agents with theWordle-v0environment is the same
as with gym environments generally:importgymimportgym_wordleeng=gym.make("Wordle-v0")done=Falsewhilenotdone:action=...# RL magicstate,reward,done,info=env.step(action)If you're like millions of other people, you're a Wordle-obsessive in your own
right. I have good news for you! TheWordle-v0environment currently has an
implementedrendermethod, which allows you to see a human-friendly version
of the game. And it isn't so hard to set up the environment to play for
yourself. Here's an example script:fromgym_wordle.utilsimportplayplay()DocumentationComing soon!ExamplesComing soon!CitingIf you decide to use this project in your work, please consider a citation!@misc{gym_wordle,author={Kraemer, David},title={An Environment for Reinforcement Learning with Wordle},year={2022},publisher={GitHub},journal={GitHub repository},howpublished={\url{https://github.com/DavidNKraemer/Gym-Wordle}},}
Package: gymx
Run OpenAI Gym environments on an external process or remote machine using gRPC.InstallationInstall Gym(not required if usingDocker) and run:pipinstallgymxIt is recommended to use avirtual environment.UsageServerTo start the server run:python-mgymxTo use a different port run:python-mgymx--port=54321You can also run the server usingDocker:dockerrun-p54321:54321album/gymxClientInside your application use:fromgymximportEnvenv=Env('CartPole-v0')To specify the server address use:env=Env('CartPole-v0',address='localhost:54321')APIenv.reset(): Reset the environment's state. Returnsobservation.env.step(action): Step the environment by one timestep. Returnsobservation,reward,done,next_episode. Unlike the original gym API, it automatically resets the environment when done and returns next episode's observation instead ofinfo.
Package: gym-xiangqi
Gym XiangqiGym Xiangqi is a reinforcement learning environment of Xiangqi, Chinese Chess, game.
The project is built on top of a popular reinforcement learning framework called OpenAI Gym.Getting StartedInstalling and using Gym Xiangqi is easy. If you are unfamiliar with Xiangqi, the Chinese Chess, we encourage
you to read ourWiki pagefor a starter. We also welcome you to
checkout ourdocumentation page, but if you have experiences
working with other OpenAI Gym environments you will be already off to a good start.PrerequisitesIn order to use Gym Xiangqi environment for your reinforcement learning project,
you need to have,A machine that supports video and audio outputs. For example, a headless server
will not be a great choice here.Python 3.6 or aboveUser InstallationInstall Gym Xiangqi on your Python environment usingpippip install gym-xiangqiTest your installation by runningagent-v-agentDevelopment InstallationFirst, clone the repositorygit clone https://github.com/tanliyon/gym-xiangqi.gitor download thelatest releaseand extract the filesEnter the repositorycd gym-xiangqiInstall the core dependenciespip install -e .Install the dependencies for developmentpip install -r requirements.txtSoftware HandbookRead through thesoftware handbookfor comprehensive explanation and development guide for the repository.Built With[OpenAI Gym] - Used for developing the reinforcement learning environment[PyGame] - Used for rendering the gameContributingPlease checkout our contribution guidelines inCONTRIBUTING.mdand oursoftware handbook.VersioningWe useSemantic Versioningfor versioning. For the versions
available, see thetags on this repository.AuthorsLi Yon Tan -tanliyonMyeonghun Kim (Danny) -dooki114Hojoung Jang (Brian) -hojoung97LicenseThis project is licensed under the GNU Lesser General Public License v3.0 - see theLICENSE.mdfile for details.
Package: gynumdata
NumData DocumentationInstallationgynumdata can be installed using python pip. The package is hosted onPyPIandPyPI-testpipinstallgynumdataUsageInitialization is not required for using methods in numdatafromgynumdataimportcalculate# Calculate square of a numberprint(gynumdata.calculate.calculate_square(8))# 64# Calculate cube of a numberprint(gynumdata.calculate.calculate_cube(8))# 512
Package: gyomu
*This package is originally developed in C#, and now try to migrate into Python versionGyomuGyomu, which means Enterprise or Operation in Japanese, is used in enterprise.
The purpose of this library isShorten development time through frameworkShorten troubleshooting in testing or in productionThis library won't be used by library itself. It's used with RDB ( Now Postgres & MSSQL is supported )This library contains lots of function, but major functionality would beError handling / LoggingVarious Parameter managementTask managementMilestone managementOthersError handling / LoggingAll status/ log to be stored in database
Based on setting, status/log to be sent via email.
Like log4net, etc, there are several logging type, such as Info / Warning / Business Notification / IT Error.
For IT error, the status/log contains stack trace so that developer could resolve issue very quickly.
The error is sent via email promptly so it doesn't take time to search inside log file.When you use this framework, at least all public method should return StatusCode object.
StatusCode object contains error/log information and when it's instantiated, it would be recorded in DB and be sent via email if necessary.StatusCode's id is Int (32bit)
1st 12bit is ApplicationID which must be unique per your library
2nd 4bit is logging type, such as Info / Warning / Business Notification / IT Error.
Remaining 16bit is Error ID which must be unique within your library.
Combining these number lead to uniqueness among all libraries.</code></pre><p>ThisisexampleofhowtosetStatusCode's id.RegardingCODE_GENfunction's argument</p><ul><li>ApplicationID</li><li>loggingtype</li><li>ErrorID</li><li>Summary</li><li>Detail</li></ul><p>YourassignedApplicationIDmustberegisteredinDBtable,apps_info_cdtbl.apps_info_cdtblcolumnwouldbeApplicationID.1-4095canbeassignedand1isalreadyusedinGyomulibrary.Iwouldrecommendyoutosetsomerulebyyourselves,suchascommonlibrarywouldbe<=99,businesslogiclibrarywouldbe>=100<500,Serversidelikeweblibrarywouldbe>=500<2000,GUIwouldbe>=2000orsomethinglikethat.</p><p>EmailrecipientinformationneedtobesetupperApplicationIDonstatus_handlertable.YoucansetTo/CCaddressonthistable.</p><h1>VariousParametermanagement</h1><p>Inmostprograms,wetendtoputexternalparameteron</p><ul><li>Configurationfile</li><li>EnvironmentVariables</li></ul><p>AndIbelievethisisverydifficulttomanageforproperenvironment.Sometimes,parametermustbedifferentperuser,mustbedifferentpermachine,etc.</p><p>Inthisframework,parameterwouldbesavedindatabase.UsingJsonserialization,mostlyanykindofdatatobeparameterizedeasily.</p><p>Alsothisparameterizationsupportsseveralkindofencoding/encryption</p><ul><li>Base64Encoding</li><li>AESEncryption</li><li>Userspecificencryption(ThisisnotsupportedinPythonversionsofar)</li></ul><p>Base64encodingcanbeusedforeasymasking.It's easy to be decoded, but at a glance, we can'tseerawvalue.</p><p>AESEncryptioncanbeusedforstoringDBconnectionstring,etc</p><p>Userspecificencryptioncanbeusedforpersonalpassword.Theencryptedvaluecanbedecryptedonlybyencrypteduser.</p><p>Thisexamplestores/retrievesstringlistparameter</p><prelang="Python"><code>
Package: gyp-next
GYP can Generate Your Projects.Documents are available atgyp.gsrc.io, or you can check outmd-pagesbranch to read those documents offline.gyp-nextisreleasedto thePython Packaging Index(PyPI) and can be installed with the command:python3 -m pip install gyp-nextWhen used as a command line utility,gyp-nextcan also be installed withpipx:pipx install gyp-nextInstalling to a new venv 'gyp-next'
  installed package gyp-next 0.13.0, installed using Python 3.10.6
  These apps are now globally available
    - gyp
done! ✨ 🌟 ✨Or to rungyp-nextdirectly without installing it:pipx run gyp-next --helpNOTE: running app 'gyp' from 'gyp-next'
usage: usage: gyp [options ...] [build_file ...]

options:
  -h, --help            show this help message and exit
  --build CONFIGS       configuration for build after project generation
  --check               check format of gyp files
  [ ... ]
Package: gypp
gyppprovides convenience methods for accessing entries in a GPG encrypted YAML file.The YAML file has a structure like:# Comments start with a "#"
DESCRIPTION: |
  This is a human readable description of this file.

RECIPIENTS:
  - list of
  - recipients of
  - the encrypted file

some_key:
  user: name of account (required)
  password: the password or phrase (required)
  name: human readable name of entry (optional)
  note: |
    optional note. The pipe char indicates that
    line breaks will be preserved, but the
    preceding space on each line will not.
  other: Other properties may be added as needed.

another_key:
  user: some user
  password: password with a quote " in it
  name: another test entry
  note: |
    Same old stuffInstallationpip install -U gyppUseList entries available:$ gypp my_passwords.gpg

Source: junk.txt
Description: This is a human readable description of this file.

Keys available:
  some_key          : human readable name of entry (optional)
  another_key       : another test entryShow a specific entry on the commandline:$ gypp -s -k some_key my_passwords.gpg

user     : name of account (required)
password :
name     : human readable name of entry (optional)
note
  optional note. The pipe char indicates that
  line breaks will be preserved, but the
  preceding space on each line will not.

other    : Other properties may be added as needed.Place password for entry on the clipboard:$ gypp -k some_key my_passwords.gpgNew in version 1.1:gyppwill read a list of sources from a configuration file that
by default is located at$HOME/.config/gypp/gypp.yaml. The config file is a yaml
file structured like:sources:
  source_name_1: path/to/encrypted/file
  source_name_2: path/to/another/encryped/filegyppcan then be run using a key undersourcesto specify the gpg file to read. e.g.:$ gypp source_name_2DevelopmentRepository:https://github.com/datadavev/gyppDevelopment install:$ git clone https://github.com/datadavev/gypp.git
$ cd gypp
$ pip install -U -e .Deploy to pypi:$ python setup.py sdist
$ twine upload dist/*
Package: gyps
A GPS files toolbox written in Python3.FeaturesTranscoding of some file formats (GPX, KML, FIT, SBN, SBP)Lossless merging of SBN or SBP filesCompute statistics (segmented tracks supported)Automatic file renaming according to a given pattern like log’s start date for
exampleMaintain a local SQLite database for a given folder full of GPS filesPhoto mapping in a KML file, for one or several GPS tracksConfigurable via both an.inifile and command line flags (merged)LicenseThis project is distributed under the terms of the MIT license.
See theLICENSE.txtfile for details.
Package: gypse
What is Gypse?Have you ever tried looking for interesting things like URLs, E-Mails or Phone numbers in a bunch of text files?
That is going to get really tough, really fast. It can be downright painful.Gypse is here to help. You simply install ‘gypsy’ with ‘pip’, and have Gypse look at your text files.RequirementsYou will need Python 3.4 or higher for Gypse to work properlyGetting Startedpip install gypseUsageGypsy comes with some sample data that you can clone and play with.git clonehttps://github.com/aeroxis/gypse/tmp/gypsy
cd /tmp/gypsy
gypse url-extractor ./samples/ –margins 5This will yield something like the following:
Package: gyptis
ReleaseDeploymentBuild StatusMetricsActivityCitationLicenseFormatterGYPTISComputational Photonics in Pythonhttps://gyptis.gitlab.ioGyptis is a package to solve Maxwell’s equations with the finite element method.
It includes predefined models and setup commonly used in Photonics.InstallationCondaThe easiest way is usingconda.
First, add conda-forge to your channels with:condaconfig--addchannelsconda-forgecondaconfig--setchannel_prioritystrictOnce the conda-forge channel has been enabled, gyptis can be installed with:condainstallgyptisAlternatively, we provide anenvironment.ymlfile with all the dependencies for the master branch. First create the environment:condaenvcreate-fenvironment.ymland then activate it withcondaactivategyptisSee thegithub repositorywhere development happens for conda-forge.PipyThe package isavailable on pipy.
To install, use:pipinstallgyptisNoteThis does not install FeniCS, which should be built separately
(seeinstructions)DockerPrebuilt container images are available atDockerHubA quick way of testing is to get the installation scriptcurl-shttps://gyptis.gitlab.io/get|bashYou will then be able to run the container withgyptisrunAlternatively, you can pull the docker imagedockerpullgyptis/gyptis:latestTo run the image, usedockerrun-itgyptis/gyptis:latestFrom sourcegitclonehttps://gitlab.com/gyptis/gyptis.gitcdgyptis&&pipinstall-e.Documentation and examplesSee thedocumentation website.
A good starting point is to look atexamples of applicationfor typical problems encountered in photonics.ContributingPull 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.LicenseMIT, seeLICENSE.txt.
Package: gyrate
gyratecreate simple yet beautiful code spinnerswarning🧪 this is meant to be a more featured version ofhalo⚠️ no features have been added yet, so just use halo for the minute !!installation$pipinstallgyrateexamplesfromgyrateimportSpinnerspinner=Spinner(text='Loading',spinner='dots')spinner.start()# Run time consuming work here# You can also change properties for spinner as and when you wantspinner.stop()Alternatively, you can use halo with Python'swithstatement:fromgyrateimportSpinnerwithSpinner(text='Loading',spinner='dots'):# Run time consuming work here
Package: gyroid
gyroidis a python package that generatessymmetry adapted basis functionsbased on the space group of a unit cell.Quickstart1. Install$ easy_install gyroidor$ tar -xvf gyroid-xxx.tar.gz
$ cd gyroid-xxx
$ python setup.py installRequired packages:numpy: it should be installed before installing gyroid.scipy: use it to save data in Matlab mat format.matplotlib: 2D Graphic plotting.mayavi: it depends on many packages, e.g. VTK (compiled with python wrapper and shared library on). If you do not need the render_structure_3d functionality, simply ignore it.2. UsageFollowing is a typical usange of the package. It will produce a set of SABFs with point group Ia-3d (#230) in a cubic unit cell. The last line will syntheses a gyroid structure with all coefficients for SABF equal to 1.0, save the structure data into a Matlab mat file, show a screenshot of the rendered image and save the image in a file.>>> import gyroid as gy
>>> import numpy as np
>>> N1,N2,N3 = 32,32,32
number of grids in each dimension of a unit cell
>>> uc = gy.UnitCell(3)
create a standard cubic unit cell with side length 1.0
>>> group = gy.Group(3,gy.BRAVAIS,uc.shape,"Ia-3d")
create a Ia-3d point group
>>> grid = gy.Grid(np.array([N1,N2,N3]),group)
create a collection of waves that are not canceled
>>> basis = gy.Basis(group,grid)
create the SABFs
>>> gy.render_structure_3d(basis,grid,N1,N2,N3,1.0)
create the gyroid structure and render itAsk for HelpYou can directly contact me atliuyxpp@gmail.com.You can join the mailinglist by sending an email togyroid@librelist.comand replying to the confirmation mail. To unsubscribe, send a mail togyroid-unsubscribe@librelist.comand reply to the confirmation mail.LinksDocumentationWebsiteDevelopment version
Package: gyrointerp
DocumentationThe documentation is hosted atgyro-interp.readthedocs.io.
A minimal example to get you started is below.InstallPreferred installation method is through PyPI:pipinstallgyrointerpMinimal ExampleGiven a single star's rotation period, effective temperature, and
uncertainties, what is the gyrochronological age posterior over a grid spanning
0 to 2.6 Gyr?importnumpyasnpfromgyrointerpimportgyro_age_posterior# units: daysProt,Prot_err=11,0.2# units: kelvinTeff,Teff_err=4500,100# uniformly spaced grid between 0 and 2600 megayearsage_grid=np.linspace(0,2600,500)# calculate the age posterior - takes ~30 secondsage_posterior=gyro_age_posterior(Prot,Teff,Prot_err=Prot_err,Teff_err=Teff_err,age_grid=age_grid)# calculate dictionary of summary statisticsfromgyrointerpimportget_summary_statisticsresult=get_summary_statistics(age_grid,age_posterior)print(f"Age ={result['median']}+{result['+1sigma']}-{result['-1sigma']}Myr.")The documentationcontains more extensive examples, as well as discussion of important caveats.
Package: gyropalm-control
GyroPalm Python SDKPython SDK for GyroPalm DevelopersOverviewThe GyroPalm Python software development kit (SDK) enables developers to wirelessly connect to one or more GyroPalm Encore wearables without any additional dependencies. This Python package contains two independent classes,GyroPalmRealtimeandGyroPalmDriving, which include methods to enable developers in establishing bi-directional communication with GyroPalm devices for creating unlimited hands-free Python interactions, especially for remotely controlling and monitoring robots. This repository also contains examples that demonstrate typical use.This library exposes theGyroPalmRealtimeobject, which encapsulates secure websockets (WSS) with our real-time low latency server. Using enhanced methods and function callbacks, gestures, commands, and other data can be retrieved from the wearable in milliseconds. Using theGyroPalmRealtimeobject, developers can write applications that can control ROS-based robots. Furthermore, theGyroPalmDrivinglibrary provides methods for smooth acceleration/deceleration easing, emergency-stop on signal loss, center-snapping, and constrain/normalization of command velocity values.Although theGyroPalmRealtimelibrary can be used independently, theGyroPalmDrivinglibrary is essential in enhancing safety in robotic operation as well as enhancing both the end-user and developer experience.RequirementsTo implement this SDK for its intended use, it is highly recommended that the developer has a GyroPalm Developer Kit or equivalent GyroPalm package to do proper testing. To order one or more wearables, visit theGyroPalm Online store.In addition, the host machine must have Python 3.6 or newer, and thewebsocketslibrary installed. The host machine needs to have an internet connection so that it can connect to theGyroPalmRealtimeserver.InstallationThere are two simple ways to acquire this package: By running apip installcommand, or downloading the latest release from this GitHub repository.Install Package from PyPiTo easily install this package from PyPi by running the following:sudopipinstallgyropalm_controlInstall Package from GitHub RepoYou can also install this package from GitHub by running the following:sudogitclonehttps://github.com/GyroPalm/GyroPalm-Python-SDK.git
Package: gython
Gython is a transpiler written in Python that converts a python like
language into Go.Syntax
DocumentationInstallingInstall usingpip install gython.Usage:gython file.pyGetting StartedGython supports classes and multiple inheritance, with method overrides
and calling the parent class methods.class A:
    def foo(self) -> int:
        return 1

class B:
    def bar(self) -> int:
        return 2

class C( A, B ):
    def call_foo_bar(self) -> int:
        a = self.foo()
        a += self.bar()
        return a

    def foo(self) -> int:
        a = A.foo(self)
        a += 100
        return aGython supports Go’s typed maps.a = map[string]int{
    'x': 1,
    'y': 2,
    'z': 3,
}Gython supports array and map comprehensions. Below is an array of
integers, and a map of strings with integer keys.a = []int(x for x in range(3))
b = map[int]string{ i:'xxx' for i in range(10) }Gython supports Go’s send data to channel syntaxa = go.channel( int )
a <- 1Array and maps are always passed as pointers in a function call, this
way the called function can modify the array or map inplace. In the
example belowais typed as an array of integers[]int, but it
is actually retyped when transformed into Go as*[]intdef myfunc( a:[]int ):
    a.append( 100 )

x = []int()
myfunc( x )Simple Generator FunctionsGython supports generator functions with a single for loop that yields
from its main body. The generator function can also yield once before
the loop, and once after.def fib(n:int) -> int:
    int a = 0
    int b = 1
    int c = 0
    for x in range(n):
        yield a
        c = b
        b = a+b
        a = c
    yield -1

def main():
    arr = []int()
    for n in fib(20):
        arr.append( n )Generic High Order FunctionsGython supports generic functions, where the first argument can be an
instance of different subclasses. All the subclasses must share the same
common base class. In the function definition the first argument is
typed with the name of the common base class. In the function belowmy_generic, the first argumentgis typed with the common base
class:def my_generic( a:A )class A:
    def __init__(self, x:int):
        int self.x = x

    def method1(self) -> int:
        return self.x

class B(A):

    def method1(self) ->int:
        return self.x * 2

class C(A):

    def method1(self) ->int:
        return self.x + 200


def my_generic( g:A ) ->int:
    return g.method1()

def main():
    a = A( 100 )
    b = B( 100 )
    c = C( 100 )

    x = my_generic( a )
    a.x == x

    y = my_generic( b )
    y==200

    z = my_generic( c )
    z==300