Saravanan666/pypi-org huggingface dataset:
Package: rland-py-study
Roboroboland Python Study Package(v 0.0.0.2)This package is about roboroboland's python study. It includes from basic calculator examples to advanced serial communication multi threading code.To startInstall LibraryTo Start, Please install following packagespyserialnumpypandasGeneralcalculatorTo StartWrite down this code on the top of your sourcefrom rland_py_study import calculator.Calculator()class:Calulatorvariables :self._result = 0functions :result(self):return : self._resultadd(self, num) :add 'num' and '_result'return : self._resultsub(self, num) :subtract 'num' from '_result'return : self._resultmul(self, num) :multiply '_result' by 'num'return : self._resultdiv(self, num) :divide '_result' by 'num'return : self._resultreset(self):reset '_result' to zeroreturn : NoneExample codefrom rland_py_study import *

_cal = calculator.Calculator()
while(1):
    _input = str(input("Please insert number and operator\nPresent value : "+str(_cal.result())+"\n(ex. +10 or -10, quit:q, reset:r)\ninput : "))
    if _input[0] == '+':
        print("Add")
        _input=_input[1:]
        _cal.add(float(_input))
    elif _input[0] == '-':
        print("Sub")
        _input=_input[1:]
        _cal.sub(float(_input))
    elif _input[0] == '*':
        print("mul")
        _input=_input[1:]
        _cal.mul(float(_input))
    elif _input[0] == '/':
        print("Div")
        _input=_input[1:]
        if(float(_input)==0):
            print("can't divided by 0")
        else:
            _cal.div(float(_input))
    elif _input[0] == 'r':
        _cal.reset()
        print("Calculator is reset")
    elif _input[0] == 'q':
        exit()
    else:
        print("Wrong input. Please insert right direction.")SerialThis library is to use Serial communication with external hardware(ex. RS board, Cube, R drone ...)basicTo StartWrite Down this code on the top of your source. Package 'pyserial' must be installed to use it.from rland_py_study.serial import *class:SerialBasicvariables :self.robot = Noneself.process = Nonefunctions :port_search(self):Search COM port of user's computer and prints their names.return : Noneport_open(self, port):Try to open port to connect device with computer. If openning process succeed, they will be connected. If openning process failed, port will be closed.return : Noneport_search(self):If there's a connected device, disconnect it from user's computer.return : NoneExample#(will be updated soon)
Package: rlane-libcurses
grid - group of resizable windows.A rectangular collection of windows with shared (collapsed) borders that
resize the windows to either side (syncronized shrink/expand) when moused upon.+-------+---+------+    example `Grid`, 9 windows.
        |       |   |      |
        +-------+---+------+
        |           |      |
        +------+----+------+
        |      |           |
        +------+--+--------+
        |         |        |
        +---------+--------+Drag and drop an interior border to resize the windows on either side.Double-click an interior border to enter Resize Mode:
* scroll-wheel and arrow-keys move the border, and
* click anywhere, Enter and Esc to exit Resize Mode.Grids also provide a wrapper aroundcurses.newwinthat takes positioning
parameters that describe the spatial-relationship to other windows on the
screen, instead of (y,x) coordinates:+--------+                 +--------+
        |        |                 |  ^     |
        |        |<------ left2r --|  |     |
        |        |                 |  |     |
        |<---------------- left ---|  |     |
        |        |                 |  |     |
        +--------+                 +--|-----+
           |  |                       |  ^
  bottom2t |  | bottom            top |  | top2b
           v  |                       |  |
        +-----|--+                 +--------+
        |     |  |                 |        |
        |     |  |-- right ---------------->|
        |     |  |                 |        |
        |     |  |-- right2l ----->|        |
        |     v  |                 |        |
        +--------+                 +--------+For example, this 3x13 grid with three 3x5 boxes may be described three
different ways:+---+---+---+
            | a | b | c |
            +---+---+---+

    grid = Grid(curses.newwin(3, 13))

    1)  a = grid.box('a', 3, 5)
        b = grid.box('b', 3, 5, left2r=a)
        c = grid.box('c', 3, 5, left2r=b)

    2)  c = grid.box('c', 3, 5, right=grid)
        b = grid.box('b', 3, 5, right=c)
        a = grid.box('a', 3, 5, right=b)

    3)  a = grid.box('a', 3, 5, left=grid)
        c = grid.box('c', 3, 5, right=grid)
        b = grid.box('b', 3, 0, left2r=a, right=c)If two endpoints are given (such as 3b), the length will be calculated to
fill the gap between the endpoints.
Package: rlane-netflix
netflix - Netflix history reportUsagenetflix [--seasons] [--episodes] [--movies-only] [--series1-only]
        [--series2-only] [-h] [-v] [-V] [--print-config] [--print-url]
        [--completion [SHELL]]
        [FILE]Print list of Titles, number of Seasons and total number of Episodes.Positional ArgumentsFILE                Read from `FILE`, use `-` for `stdin` (default:
                    `~/Downloads/NetflixViewingHistory.csv`).Options--seasons           List seasons and number of episodes.
--episodes          List episodes; implies `--seasons`.
--movies-only       Print movies only.
--series1-only      Print series1 only.
--series2-only      Print series2 only.General options-h, --help          Show this help message and exit.
-v, --verbose       `-v` for detailed output and `-vv` for more detailed.
-V, --version       Print version number and exit.
--print-config      Print effective config and exit.
--print-url         Print project url and exit.
--completion [SHELL]
                    Print completion scripts for `SHELL` and exit
                    (default: `bash`).
Package: rlane-tivo
tivousage: tivo [-h] [-H] [-v] [-V] [--config FILE] [--print-config] [--print-url]
            [--completion [SHELL]]
            COMMAND ...

`tivo` controls remote TiVo™ devices. When no `COMMAND` is given,
tivo listens for broadcasts from remote devices, and presents an
interactive terminal application to display their status, change
channels, navigate menus, enter text into search box, etc. with the
full computer keyboard.

Channels may also be changed from the command line.

Specify one of:
  COMMAND
    downch              Tune to previous channel on `HOST`.
    getch               Get and print channel from `HOST`.
    list                List `HOST`s.
    setch               Tune `HOST` to `CHANNEL`.
    upch                Tune to next channel on `HOST`.

Configuration file:
  TiVo devices broadcast a unique, non-readable `identity` string
  every few minutes. The `--config FILE` maps `identity` to `host`
  names, like `/etc/hosts`.

General options:
  -h, --help            Show this help message and exit.
  -H, --long-help       Show help for all commands and exit.
  -v, --verbose         `-v` for detailed output and `-vv` for more detailed.
  -V, --version         Print version number and exit.
  --config FILE         Use config `FILE` (default: `~/.tivo.toml`).
  --print-config        Print effective config and exit.
  --print-url           Print project url and exit.
  --completion [SHELL]  Print completion scripts for `SHELL` and exit
                        (default: `bash`).tivo downchusage: tivo downch [-h] HOST

The `tivo downch` command tunes `HOST` down to previous channel.

positional arguments:
  HOST        Target tivo device.

options:
  -h, --help  Show this help message and exit.tivo getchusage: tivo getch [-h] HOST

The `tivo getch` command gets and prints channel from `HOST`.

positional arguments:
  HOST        Target tivo device.

options:
  -h, --help  Show this help message and exit.tivo listusage: tivo list [-h]

The `tivo list` command lists known `HOST`s.

options:
  -h, --help  Show this help message and exit.tivo setchusage: tivo setch [-h] HOST CHANNEL

The `tivo setch` command tunes `HOST` to `CHANNEL`.

positional arguments:
  HOST        Target tivo device.
  CHANNEL     Change to `CHANNEL` on `HOST`.

options:
  -h, --help  Show this help message and exit.tivo upchusage: tivo upch [-h] HOST

The `tivo upch` command tunes `HOST` up to next channel.

positional arguments:
  HOST        Target tivo device.

options:
  -h, --help  Show this help message and exit.
Package: rlaphoenix-pymp4
pymp4Python MP4 box parser and toolkitUsagepymp4is based on the excellent parsing libraryconstruct.>>>frompymp4.parserimportBox>>>fromioimportBytesIO>>>Box.build(dict(type=b"ftyp",major_brand="iso5",minor_version=1,compatible_brands=["iso5","avc1"]))b'\x00\x00\x00\x18ftypiso5\x00\x00\x00\x01iso5avc1'>>>ftyp=Box.parse(b'\x00\x00\x00\x18ftypiso5\x00\x00\x00\x01iso5avc1')>>>print(ftyp)Container:type=ftypmajor_brand=iso5minor_version=1compatible_brands=ListContainer:iso5avc1
Package: rlapi
rlapiAsync ready API wrapper for Rocket League API written in Python.Rocket League API is currently in closed beta and Psyonix doesn't give out access to it easily.To request API access, you should contact Psyonix by emailRLPublicAPI@psyonix.comand hope for positive response.InstallationPython 3.7 or higher is requiredTo install the library, you can just run the following command:# Linux/OS Xpython3.7-mpipinstall-Urlapi# Windowspy-3.7-mpipinstall-UrlapiTo install the development version, replacerlapiwithgit+https://github.com/jack1142/rlapiUsage exampleYou can easily create a client using the classClient. Here's simple example showing how you can get player stats with this library:importasyncioimportrlapiasyncdefmain():client=rlapi.Client(client_id="client id",client_secret="client secret")players=awaitclient.get_player("kuxir97",None)asyncio.run(main())DocumentationReadrlapi's documentation.ContributingPlease take a look at ourcontributing guidelinesif you're interested in helping!LicenseDistributed under the Apache License 2.0. SeeLICENSEfor more information.This project bundleslxml-stubswhich are distributed on Apache License 2.0Contributing guidelines and issue templates are taken fromdiscord.py projectJakub Kuczys  · 
GitHub@jack1142
Package: rlay
RLayRLay (pronounced like "relay") is a tool that enables buildingGymnasiumenvironments with ~any language or software toolkit.The main inspiration is interfacing with games built in powerful engines like Unity and Unreal.
Adding a client or a server in the environment code will expose it for interaction with the standard
Gymnasium API.There are two possible paradigms -- the environment runs either as a server, or as a client.ClientEnv has a relatively intuitive interpretation. The server maintains an instance of the environment,
and calls its methods according to the MemServer calls. The user (or the RL algorithm) calls the methods ofClientEnv,
which in turn calls the MemServer methods on the server.ServerEnv works the other way around. It expects that the user creates a server which implements a policy,
and the environment lives in a client which can query that policy. When the client queries the server, it sends an observation,
and receives the following observation.In summary, in ClientEnv:The underlying environment logic lives on the serverTheEnvinstance exists in the clientThe algorithmic logic is in the clientIn ServerEnv:The underlying environment logic is in the clientTheEnvinstance exists on the serverThe algorithmic logic is on the serverTheServerEnvimplementation is inspired by ML-Agents, but we generally recommend usingClientEnv.ProtocolClientBackend - ServerEnv:Handshake -- server sends a message, client sends a messageServer sends a message to hand over controlTODO: finish this
Package: rlb
rlbThe Racing Llama Benchmark (rlb) is designed to provide consistent LLM
benchmarking across Linux, MacOS, and Windows.NOTE: This project is in Alpha state and is currently being developed for MacOS.
Linux and Windows support will be added next.TODOSupport Running llama.cpp against multiple parameter and quantization typesGraph outputComparing thread countsImproved benchmark promptsMemory benchmarkingCPU benchmarkingPossible HPL-MxP supportPossible jitter measurementsJSON outputVersions in output, such as llama.cpp, python-llama-cppLinux supportWindows Support
Package: rlberry
A Reinforcement Learning Library for Research and EducationTry it on Google Colab!What isrlberry?Writing reinforcement learning algorithms is fun!But after the fun, we have lots of boring things to implement:
run our agents in parallel, average and plot results, optimize hyperparameters, compare to baselines, create tricky
environments etc etc!rlberryis a Python library that makes your life easierby doing all these things with a few lines of code, so
that you can spend most of your time developing agents.rlberryalso provides implementations of several RL agents, benchmark environments and many other useful tools.InstallationInstall the latest version for a stable release.pipinstallrlberryThe documentation includes moreinstallation instructions.Getting startedIn ourdocumentation, you will findquick startsto the library and auser guidewith a few tutorials on using rlberry. See also thestable documentationfor the documentation corresponding to the last release.Also, we provide a handful of notebooks onGoogle colabas examples to show you
how to userlberry:ContentDescriptionLinkIntroduction torlberryHow to create an agent, optimize its hyperparameters and compare to a baseline.Evaluating and optimizing agentsTrain a REINFORCE agent and optimize its hyperparametersChangelogSee thechangelogfor a history of the chages made to rlberry.Citing rlberryIf you userlberryin scientific publications, we would appreciate citations using the following Bibtex entry:@misc{rlberry,author={Domingues, Omar Darwiche and Flet-Berliac, Yannis and Leurent, Edouard and M{\'e}nard, Pierre and Shang, Xuedong and Valko, Michal},doi={10.5281/zenodo.5544540},month={10},title={{rlberry - A Reinforcement Learning Library for Research and Education}},url={https://github.com/rlberry-py/rlberry},year={2021}}Development notesThe modules listed below are experimental at the moment, that is, they are not thoroughly tested and are susceptible to evolve.None: currently, nothing is experimental hereAbout usThis project was initiated and is actively maintained byINRIA SCOOL team.
More informationhere.ContributingWant to contribute torlberry? Please checkour contribution guidelines.If you want to add any new agents or environments, do not hesitate
toopen an issue!
Package: rlbot
# RLBotThe RLBot framework helps people create bots for use in Rocket League’s offline modes, just for fun.
It provides values from the game like car and ball position, and carries back button presses.
RLBot works for up to 10 bots.To get started quickly with a simple working bot, you can clone this repository:https://github.com/RLBot/RLBotPythonExample### Requirements
Windows, Rocket League, Python 3.6+ (Python 3.7 recommended)### WikisFor more details, visit the [Setup guide](https://github.com/RLBot/RLBot/wiki/Setup-Instructions-%28current%29). When you’re done, there are [more wikis](https://github.com/RLBot/RLBot/wiki) with additional information.### Extras#### Community InfoWe have a [Discord server](https://discord.gg/zbaAKPt) (the heart of the community, please join!)[We also have a subreddit.](https://www.reddit.com/r/RocketLeagueBots/)We are now on v4 of RLBot so be wary of outdated information.
Package: rlbot-flatbuffers
rlbot-flatbuffers-pyA Python module implemented in Rust for serializing and deserializing RLBot's flatbuffersThe goal of this projectTo provide a fast, safe, and easy to use Python module for serializing and deserializing RLBot's flatbuffers.A majority of the code is generated in thebuild.rsupon first compile and thrown intosrc/.This includes the code generated byflac, the Python wrapper binds to the generated Rust code, and the Python type hints.
Package: rlbot-gui
RLBotGUIAboutRLBotGUI is a streamlined user interface that helps you run custom
Rocket League bots for offline entertainment. It relies on the RLBot
project to work its magic:https://github.com/RLBot/RLBotWorks on Windows and LinuxFeaturesDownload various bots programmed by the communityGet started with creating your own botCreate matches against botsCustomize game mode, arena and mutators!Try out the Story ModeScreenshotsYou can download, update or create botsIn Story Mode, you can take over cities by beating challenges and can also
recruit teammates and purchase upgrades for your car!InstallationIf you just want to use this GUI, you can go download the installer fromhttp://www.rlbot.org/It will put "RLBotGUI" in your Windows start menu.Dev Environment SetupPrerequisitesPython 3.7SetupIn a command prompt, runpip install -r requirements.txtRunpython run.pyDeployment to PyPIFor normal changes, e.g. things happening inside the rlbot_gui folder,
you should be publishing an update to PyPI. All users will get this change
automatically without needing to reinstall!To deploy:Create a .pypirc file like the one described here:https://github.com/RLBot/RLBot/wiki/Deploying-Changes#first-time-setupLook in setup.py and increment the version number.Runpublish-to-pypi-prod.batNoteWhen deploying to pypi, the files which get included are controlled by the MANIFEST.in file.
You may wish to exclude anything which does not belong in the initial install, e.g.
bot logos which get copied in to the GUI folder as you use the program.As a rule of thumb, if you add something to .gitignore, it may also belong in MANIFEST.in
as a prune line.Building the InstallerYou can build an installer executable for users to download. You will rarely need
to do this, because normal updates should be pushed to users by deploying to PyPI.You really only need a new installer if you changed something in the pynsist_helpers
folder, run.py, or anything else that gets referenced in installer.cfg.AVOID THISbecause you don't want to run around bugging users to reinstall.Followhttps://pynsist.readthedocs.io/en/latest/index.htmlto get NSIS installed.Runpip install pynsistRunpynsist installer.cfgFind the resulting executable in build\nsis.How to update items in the appearance editorInstall and runBakkesModIn Rocket League, press F6 to open the BakkesMod console, and enter thedumpitemscommandFind the outputitems.csvin the folder where yourRocketLeague.exeis, usuallyC:/Program Files (x86)/Steam/steamapps/common/rocketleague/Binaries/Win64Replacerlbot_gui/gui/csv/items.csvwith the new fileChange encoding of the new file to UTF-8. Here's how to do that in VS Code:use theChange File Encodingcommand (or click the UTF-8 button in the bottom right)selectReopen with Encoding, select the one withGuessed from contentnow do that again, butSave with EncodingandUTF-8Don't forget to bump the version number insetup.py
Package: rlbot-lua
# RLBot_LuaThis extension creates a native bridge between Python and Lua, implementing its own class system to simplify usage.## Installation` $ python-mpip install rlbot_lua `> Note: Only supports 64-bit OS/Python## Bot setup
Copy the following files to your bot folder:Lua53.dll (Not needed on Linux when support arrives)classes.luastructs.lualua_bot.pyThen, in your bot.cfg, set bot path tolua_bot.py## Functions providedFunctions:
-class- A keyword to create classes (see bot_example.lua and structs.lua for reference)
-super- A function useful with inheritance; calls the parent function (see structs.lua for reference)
-dump- A function that can be used to dump information about a tableClasses:
-GameTickPacket- The game tick packet, this completely copies the python packet
-GameObject- Base class for all entities in the game, this should generally not be used
-GameCar- The class used for cars in packet.game_cars
-GameBall- The class used for the ball
-GameInfo- The class used to hold information about the current game
-GameBoost- The class used for boost pads in packet.game_boosts
-Team- The class used for team information
-Hitbox- Container class for hitbox data
-ControllerState- The class used to hold controller data, defaults to neutral
-LuaBot- The class a bot written in Lua must inherit and implement
-Vector- The class used for all 3-dimensional vectors, has utility methods
-Rotation- The class used for rotation dataThese classes can be modified as shown in example_bot.lua## TODOProper classes for Ball attributesFigure out why it segfaults when there are more than 2 players on the field
Package: rlbottraining
RLBotTrainingCustomizable training for Rocket League bots of any language.Tutorial:Click HereInstallationInstall Python 3.7 or laterpip install rlbottrainingFeatures at a glanceUsesRLBotconfig files to support bots in any programming languageReproducable training setups with seeded randomnessCustomizable Pass/Fail criteriaImporting of shots/playlists from BakkesMod trainingPlaylists of exercisesAutomatic reloading of both bot and exercise codeImports from bakkesmod trainingArchitectureAt the entry point (run_exercises.py) we decide whichGraderExerciseshould be run and theconfig_paths define the RLBot setup to be used (which bots, which mode).EachGraderExercisecomposes together the initial game state and how the bot is judged. The responsibility of judging the bot is handled byGradersAGraderdecides whether to continue the exercise or toPass/Failthe exercise by looking at each tick. AGradermay optionally gather metrics (e.g. "time until goal") to help track bot performance as the bot is improved.Separation of responsiblity: This repository is designed to make it nice to define new exercises whereas the training API of theRLBotframework provides the minimum features for any training to occur.Tips for writing your own exercises:Always subclassGraderExerciserather thanExercise. UsingGraders will allows you to share termination conditions, safely store state across ticks and provide metrics.Compose yourGraders. For instance, by usingCompoundGraderProvide meaningful error messages in yourGraders by subclassingFailFuture directionProvide an example of striker vs goaliePut metrics (Grader.get_metrics()) into a databaseA way of browsing past runs, including metricsReproducing failed exercisesVisualization of metricsContinous integration of different bots
Package: rlcms
Regional Land Cover Monitoring SystemInstallationInstall with pip:pip install rlcmsTest thatearthengine-apiis setup and authenticated by checking the folder contents within one of your cloud projects.In your shell, run:earthengine set_project <project-name>
earthengine ls projects/project-name/assetsIf you do not get an error and it returns a list of folders and assets similar to this then you are good to go! :tada:Featuresstratified sampling for use in Collect Earth OnlineTraining and validation data extraction, from points or polygon referencesLand cover modeling using Primitive ensembles, complete with model metrics for iterative improvementsQuick Startfrom rlcms.composites import Composite
# Create an annual Sentinel-1 Composite
c = Composite(dataset='Sentinel1',
        region=aoi,
        start_date='2020-01-01',
        end_date='2021-12-31',
        composite_mode='annual',
        reducer='median')

# look at the Composite object
print(c.__dict__)

# retrieve band names
print(f"Composite bands:{c.bands}")

# retrieve ee.Image from Composite object 
image = c.imageContributingWe welcome contributions from the community. If there are issues are improvements, please submit an issue on Github:https://github.com/sig-gis/rlcmsLicenseThis project is licensed under the GPL-3 License - see the LICENSE file for details.
Package: rlcompleter3
simply uses <tab> to have completionif several possibilities, all of them are displayed, with on each line:
- the object name
- the value if object is a str, int, float or bool
- the object type
- the first line of the documentationif the word is already completed when doing <tab>, more information are displayed:
- for functions or methods, the prototype is displayed with default argument values, and a ‘(’ character is completed
- for objects of type ‘str, int, float, bool’, the value of is displayed
- for all objects having a documentation, the full doc is displayed