Saravanan666/pypi-org huggingface dataset:
Package: roborcon
roborconModule created to provide first lessons on Python And Minecraft (1.16.5 pref) for students in Robocode school.Usage/ExamplesExample how to auto-build coliseum.fromroborconimportRconrcon=Rcon("server-ip","rcon-password")rcon.setPlayer("PlayerNickname")rcon.setColiseumSize(15,5)rcon.createColiseum()Sets player nickname(required)rcon.setPlayer("PlayerNickname")Execute any Rcon command.rcon.execute("give @a minecraft:diamond")Get player position (array).x,y,z=rcon.getCoords()Display title (bold red as default).rcon.title("TitleText")Get all items list (to console).rcon.printItemNames()Place blocks at positionrcon.setBlock(x,y,z,"block name or id")Fill cubic area around player.rcon.fill(area=5,"blockname",hollow=False,h=5)Give player Armor, Sword with typercon.giveArmor("Diamond")Spawns mob around player or at specific position
(Set enemy to True if spawn around player, if False - spawning at specific position)rcon.spawnMob("mobname",x=0,y=0,z=0,enemy=True,params="")Checks if player has died between checksrcon.checkDeath()Change default params of coliseum sizercon.setColiseumSize(area,height)Create coliseum around playerrcon.createColiseum()
Package: roborecipe
RoborecipeAbstructRoborecipe generate robot build instructions automatically.SeeGenerated html file.frameworkroborecipe is based on Ubuntu20.4 and Python3source file referenceseexml documentusagehow to installfrom PyPl (pip)pip install roborecipefrom source$ git clone https://github.com/eriac/roborecipe.git  
$ cd roborecipe
$ pip install ./ (add -e for develope mode)how to use$ roborecipe # dispaly helpget list of component with sample$ roborecipe list -d ~/roborecipe/sample/ 
### package ###
...
### component ###
...generate instruction with sample$ roborecipe generate sample_project main_asm -d roborecipe/sample/ -o outhow to uninstallpip uninstall roborecipe
Package: roborio-webdash
RoboRIO WebDashThis is a web-based dashboard, designed to be run on the LabVIEW RoboRIO, for
collecting and displaying diagnostic data from Netconsole, Network Tables, and
Live Window. Once installed, it provides an elegant web ui that can be accessed
at port 5801 on your RoboRIO.InstallationRoboRIO Webdash can be installed with pip, or with the robotpy installer.With the robotpy installer#Connected to internet
python3 installer.py download roborio-webdash

#Connected to RoboRIO
python3 installer.py install roborio-webdashOr with pippip install roborio-webdashOnce installed, run the following command as admin on the RoboRIO to install the dashboard’s init script and set the dashboard to run at boot.webdash install-initfileLicenseSee LICENSE.txtAuthorsChristian Balcom (robot.inventor@gmail.com, FRC Team 4819)
Package: roboswag
RoboswagIntroductionInstallationUsageLimitationsIntroduction:robot: Roboswag is a tool that automatically generates Python libraries out of your Swagger (OpenAPI specification
file). These libraries can be used to create tests with various payload content and its validation. It also supports
response validation against schema and verification of different status codes.NoteThe tool is in theAlphastate, which means it may be unstable and should be used at your own risk. Some
features may be broken and there are still many things to be developed. Happy testing!The OpenAPI Specification (OAS) defines a standard, language-agnostic interface to RESTful APIs.
Clickhere for v3 documentationandhere for v2 documentation.Hosted onGitHub. :medal_military:InstallationNoteThe PyPI package will be released when Beta version is out.First, you need to install Roboswag, and there are currently 2 ways to do it:you can clone the repository, go to the mainroboswagdirectory and install the tool locally:pip install .you can install the tool directly from GitHub's source code:pip install -U git+https://github.com/MarketSquare/roboswag.gitUsageRoboswag can be easily run from command line. To check if it's installed, run this to see the current version:roboswag -vTo execute Roboswag with its full capabilities, run it with provided path to the Swagger (OpenAPI specification) file:roboswag generate -s <path_to_swagger>You can try out the tool using the example of swagger file located inswaggers/petstore.json.Successful execution should result in printing the information about generated files and a whole new directory (named
by the value ofinfo.titlefrom your Swagger file) consisting of:endpointsdirectory with files representing eachtagas a class with methods representing its endpoints,modelsdirectory with API models represented as Python classes,schemasdirectory with every possible schema from your API as JSON file used for validating payload and responses.Now you can just create a test file, import desired endpoint and start automating the testing!LimitationsThe tool is already able to generate libraries but...Not all fields from the swagger specification may be supported. This means that a specific file may break the tool
and flood the terminal with stack trace (we will be really grateful to receive bug issues in our Github project!)Authorization to access the API is not yet fully coveredThere is not much to be configured here - it always works the sameThere is no real documentation apart from this filePlease be forgiving and submit an issue, if you struggle with something or just contact us on ourSlack channel. It's more than welcome also to support us by
code contribution! :keyboard:
Package: robot2cam_calibration
This library was designed to help us calibrate cameras to robots and to
calibrate difficult end of arm objects (like say a car door, which isn’t
really a tool) to the robot flange. It uses error minimization to
achieve this. The error comes from the euclidean and angular difference
between a measured value and an estimate.We have built the library to handle two primary use cases which we have:Calibrating a UR robot to a flycapture2 enabled cameraCalibrating an odd object (currently a door) mounted on the end of a
KUKA arm.It would be great to have the system expanded in the future.
Package: robota-common-errors
RoboTA-common-errorsAutomated software engineering assessmentRoboTA (Robot Teaching Assistant) is a group of Python packages that provide a framework for
the assessment of software engineering practices. The focus of RoboTA is the assessment of
student software engineering coursework, though it has a wider scope in the assessment of
general good practice in software engineering.The robota-core package collects information about a project from a number of sources,
git repositories, issue trackers, ci-servers. It is designed to be provider agnostic, for example
repository data can come from GitLab or GitHub.The robota-common-errors package then uses this information to assess the project against a number
of common software engineering errors or bad practices. Examples include committing non-project files
to a git repository or merging a git branch into the remote tracking branch instead of the local one.
The included errors are designed to be general and project agnostic, but it would be easy to add new methods
to enforce project or group specific standards such as a standard format for git commit messages or ensuring
that issues are always assigned to an individual as soon as they are opened.RoboTA was developed in theComputer Sciencedepartment
at theUniversity of Manchester.
From 2018 to March 2021, development of RoboTA was funded by theInstitute of Coding.DocumentationDocumentation can be found at:https://robota-common-errors.readthedocs.io/en/latest/InstallationTo install as a Python module, typepython -m pip install .from the root directory.
For developers, you should install in linked .egg mode usingpython -m pip install robota-core -eIf you are using a Python virtual environment, you should activate this first before using the above commands.RoboTA ConfigRoboTA requires access to a number of data sources to collect data to operate on.
Details of these data sources and information required to connect to them is provided in the robota config yaml file.
Documentation on the config file can be found in thedata_sourcessection of the documentation.
Package: robota-core
RoboTA - Automated software engineering aseessmentRoboTA (Robot Teaching Assistant) is a Python module to provide a framework for the assessment of
software engineering. The focus of RoboTA is the assessment of student software engineering courswork,
though it has a wider scope in the assessment of general good practice in software engineering.The robota-core package collects information about a project from a number of sources, git repositories,
issue trackers, ci-servers. It is designed to be provider agnostic, for example repository data can come from GitLab
or GitHub.There then a number of other RoboTA packages that use this information to assess project quality.
robota-common-errors identifies common errors in software engineering workflows.
robota-progress provides a simple progress dashboard for a project.
robota-marking provides a framework for the assessment of student coursework.RoboTA was developed in theComputer Sciencedepartment
at theUniversity of Manchester.
From 2018 to March 2021, development of RoboTA was funded by theInstitute of Coding.InstallationTo install as a Python module, typepython -m pip install robota-corefrom the root directory.
For developers, you should install in linked .egg mode usingpython -m pip install robota-core -eIf you are using a Python virtual environment, you should activate this first before using the above commands.RoboTA ConfigRoboTA requires access to a number of data sources to collect data to operate on.
Details of these data sources and information required to connect to them is provided in the robota config yaml file.
Documentation on the config file can be found in thedata_sourcessection of the documentation.
RoboTA config template files are provided with the robota-common-errors, robota-progress and robota-marking packages.
Package: robot-analysis
robot_analysis v0.0.3This python package aims to provide some utility function for robot analysis.ByMeltwinforECN Robotics- 2023ModulesDisplay: Provide some print utilities for matrix, headers, choices, ...Math: Provide lacking function for analysisFor a detailed description of each function, please refer to thewikiInstallationPiPy Repository (Recommended)This package is available on the PiPy repository. So you can use the pip manager with the following command:pipinstallrobot_analysisManual useAnother way of using this directory is to drag the robot_analysis directory in this repository in the root of your program.DependenciesPackageLinkNumpyhttps://numpy.org/Coloramahttps://pypi.org/project/colorama/
Package: robot-analysis-interface
Robot Analysis InterfaceTheRobotAnalysisInterface (RAI) is a package to analyze
synchronously sensors data and video captures of the scene from robotic experiments.It is written inPythonand usesQtandOpenCVbindings under the hood.
It is supported onLinuxoperating systems.DependenciesRAIhas the following dependencies:OpenCVPyQtpyqtgraphnumpyThesetup.pywill take care of installing these packages.However, you can also install them manually by running:$ pip install -r requirementswhich will also install the dependencies for building thedocumentation.InstallationRAIreleases can be instaled fromPyPIby doing$ pip install robot_analysis_interfaceIf you prefer to install from source, clone this repository,
go to the root directory and type in$ pip install .or directly on the compressed file:$ pip install robot_analysis_interface-xx.tar.gzNOTEIt is recommended to install everything in a dedicated virtual environment.Getting startedQuick way to open a data file/folder:To open a data file or folder, you can use the script provided in this repository. Several type of data can be parsed:TheSLd-fileformat:$rai--data=d00021--session=my_session.jsonA file dumped from theDataCollectorclass available from the RAI API:$rai--data=data_collector_file.npy--session=my_session.json
$rai--data=data_collector_file.npz--session=my_session.jsonA data folder dumped by thedynamic-graphframework.$rai--data=2019-08-12_02-03-19/--session=my_session.jsonThe default behavior looks for the newest data file/folder that are dumped
by the dynamic-graph or SL is the current folder.$raiNote from these commands:the (optional) data file or folder defined with the--dataargument,the (optional) JSON file one can use to define to restore a RAI session with the--sessionargument,without the--dataargument the launcher looks into the current folder for
a folder with the highest date name (e.g.2019-08-12_02-03-19), if none
are found, it looks for the d-file with the highest index.without--sessionargument the launcher open a clean session.Using the RAI python interfaceTo use the RAI, import the package in yourPythonsession:>>> import RAIRAI comes with demos, which can be run using the following commands:>>> RAI.demos.demo()DocumentationThe full documentation can be foundhere.It can also be built from source the following way:$ pip install sphinx sphinx_bootstrap_theme
$ cd doc
$ make htmland open the filebuild/html/index.htmlin your web browser.Unit testThe RAI has been tested using the Python unit testing framework.
The tests can be run using the following command in the root directory:python -m unittest discoverIt is also possible to run the tests using nose:pip install nose
nosetests -v testsIf you wish to run headless tests, usexvfb.AuthorsJean-Claude Passyjean-claude.passy@tuebingen.mpg.deMaximilien Naveaumaximilien.naveau@tuebingen.mpg.deLicenseBSD 3-Clause (see LICENSE.md)Copyright© 2017, Max Planck Society / Software Workshop - Max Planck Institute for Intelligent Systems
Package: robotapi
===============================================roboapi - Python API for mobile robot control===============================================.. image:: https://travis-ci.org/travis-ci/travis-web.svg?branch=master:target: https://travis-ci.org/travis-ci/travis-web.. image:: https://coveralls.io/repos/github/sauravshandilya/SDES-2016-Project2/badge.svg:target: https://coveralls.io/github/sauravshandilya/SDES-2016-Project2Write a Python API for controlling a mobile robot.This project uses `Raspberry Pi`_ as controller of `Firebird V`_, a mobile robotic platform. The API is designed to allow user write program python language on Raspberry Pi. Raspberry Pi is connected to mobile robot via USB link. The API give abstaction to users over Embedded C program required for using the robot. User make relevant function calls inside API written in Python to control various peripherals of the robot.Raspberry Pi is used as small computer, running a debian OS. It enhances the feature of robot by providing faster and efficient on-board processing capabilities (for example: running image processing on robot is not possible because of lower processing efficiency of microcontroller).Thus objective of API is to provide user ability to control hardware and perform high end processing using a single language - Python... _Raspberry Pi: https://www.raspberrypi.org/.. _Firebird V: http://www.nex-robotics.com/products/fire-bird-v-robots/fire-bird-v-atmega2560-robotic-research-platform.htmlDocumentation===============Documentation and details about project is hosted on `Read the Docs`_.. _Read the Docs: http://sdes-2016-project2.readthedocs.io
Package: robotars
Generate robot avatars with optional support for being a gravatar
fallback.Usage:{% load robotars_tags %}
{% robotar "bob@example.org" %}
{# with gravatar fallback and size #}
{% robotar "bob@example.org" "63x63" 1 1 %}You can optionally pass the following arguments:size: The size of the robohash to be generated. eg “63x63”gravatar_fallback: whether robohash should be the fallback for the
gravatar servicehashed: whether your user’s email address should be obscured from
robohash.
Package: robot-axelibrary
Robot Axe LibraryThis project is a RobotFramework Library wrapper for axe-selenium-python package. In this project we abstracted the entire library setup for use in robotframework and also implemented the entire interface for communicating with the AXE library allowing to define specific filters to look for accessibility issues in addition to allowing the necessary assertions on the test side, for your your test passes or fails depending on the configuration you want, allowing a maximum number of issues, excluding elements you don't want to analyze, and allowing you to define specific accessibility rules, levels, tags and impact.How to installpipinstallrobot-axelibrary==0.1.8How to use*** Settings ***
Library     OperatingSystem
Library     SeleniumLibrary
Library     RobotAxeLibrary

*** Test Cases ***
Default Check Pass

   Open Browser                        https://retrospective-twitter.web.app/  chrome
   Wait Until Page Contains            Faça o login com a sua conta do twitter
   Check for accessibility issues      report_file=report_accessibility.json
   Should Not Exceed Maximum Issues    4Keywords DocumentationClick HereGlossaryViolation: A violation is a type of accessibility problem, for example a color-contrast problem or a missing aria-labelIssue: An issue is the occurrence of a violation in one element or more, for example we can get 2 issues from the type color-contrast and 1 from aria-labelFeature RequestIf you have any feature request just open an issue describing your request or feel free with your feature! Any pull pull request are welcome!Found an issue?Register the issuehereand wait for us to solve it as soon as possible.
In addition, any contribution is welcome, so feel free to make a pull request if you want to solve any problem :happy:LicenseMITProject Inspirationrobotframework-axelibraryby@adiralashiva8
Package: robotbackgroundlogger
This helper module is indented to be used by Robot Framework test libraries
that run keywords in background using threads and that want those threads
to be able to log. By default, asexplained in Robot Framework User Guide,
messages logged by threads using the programmatic APIs are ignored, and results
of logging using the standard output are undefined.This module provides a custom logger that works mostly like the standardrobot.api.logger, but also stores messages logged by background threads.
It also provides a method the main thread can use to forward the logged
messages to Robot Framework’s log.Robot Background Logger is hosted inGithuband downloads can be found
fromPYPI. Installation is easiest done with pip:pip install robotbackgroundloggerStarting from version 1.2 this module support both Python 2 and Python 3.UsageThe logger can be taken into use like this:fromrobotbackgroundloggerimportBackgroundLoggerlogger=BackgroundLogger()After thatloggercan be used mostly likerobot.api.logger:logger.debug('Hello, world!')logger.info('<b>HTML</b> example',html=True)When used by the main thread, messages will be logged immediately exactly like
withrobot.api.logger. When used by other threads, messages will be stored
internally. They can be later logged by the main thread by running:logger.log_background_messages()If you want to log only messages logged by a certain thread, you can use
pass the name of the thread as an argument:logger.log_background_messages('Example thread')Logged messages are also removed from the internal message storage. It is
possible to do that also without logging:# Remove all messageslogger.reset_background_messages()# Remove messages logged by the named threadlogger.reset_background_messages('Another thread')Exampleexample.pylibrary that is used byexample.robotshows how this
module can be used in practice. You can run the example like:pybot example.robot
Package: robot-blocks
[![Coverage Status](https://coveralls.io/repos/github/chris104957/robot-blocks/badge.svg?branch=master)](https://coveralls.io/github/chris104957/robot-blocks?branch=master)[![Build Status](https://travis-ci.org/chris104957/robot-blocks.svg?branch=master)](https://travis-ci.org/chris104957/robot-blocks)[![Maintainability](https://api.codeclimate.com/v1/badges/cd78e641eb83dc3506ae/maintainability)](https://codeclimate.com/github/chris104957/robot-blocks/maintainability)*This project is still under construction*# introductionabout the project---This project is intended to provide a simple framework for quickly building source code for robotics projects:- allows rapid development with minimal writing of code (refer to below basic example)- multithreaded processsing based on hooks/callbacks - removes need for writing multiple loops yourself and facilitates management of robot components- comprehensive library of classes for handing interactions with common robot components (motors, servos, ultrasounds, etc.)- provides built-in support for multiple control methods (e.g. autonomous obstacle avoidance, remote control, etc.)# getting startedinstallation---install with pip```bashpip install robot-blocks```basic example---this library is meant to allow you to create software for your robot with as few lines of code as possible. Here is a minimal example for creating an obstacle avoidance robot with 2 motors and an ultrasound sensor```python# importsfrom robotblocks import Robot# configure robotmy_robot = Robot()my_robot.add_motor(position='LEFT', forward_pin=9, backward_pin=10)my_robot.add_motor(position='RIGHT', forward_pin=8, backward_pin=7)my_robot.add_sensor('UltrasoundSensor', position='FRONT', input_pin=17, output_pin=18)# start movementmy_robot.start()```callbacks and hooks---this library provides a full set of hooks that you can use to trigger certain events when your robot is doing certain things. For example:```pythondef turn_lights_on():"""Turns on the robot's lights"""...def turn_lights_off():"""turns off the robot's lights"""my_robot.add_callback('ON_MOVE_FORWARDS_START', turn_lights_on)my_robot.add_callback('ON_BRAKE', turn_lights_off)```# misclicence---The project is licensed under the Apache license.support---for help on this project, please raise an [issue](https://github.com/chris104957/robot-blocks/issues)
Package: robot-brains
robot-brainsFTC "easy robot programming" alternative to Blockly (overly simple with no
support for modules) and Java (vastly too complicated with no real support for
robot programming).GoalsFirst, and foremost, easy to program.This is targeted at high school students who have never programmed before.ModularityAllow the program to be represented as a set of independent bite-sized
modules.Allow re-use of modules across different programs (FTC "opmodes").Support the creation of team libraries that can be re-used from season to
season.This allows teams to capture and reuse what they've learned, so that they
can continually improve from one season to the next.Direct support for State Machines.Often robot autonomous routines are diagrammed as state machines with
chains of actions linked together, branching at decision points.This language directly supports that using Decision Logic Tables for the
branching decision points, and labeled blocks of code for actions that are
linked with simple "goto" statements.This language has no stack, so infinite loops of gotos are directly
supported.Autonomous programming is easy.With no stack, it is very easy to run multiple autonomous threads
concurrantly.  For example, move forward 5 ft while raising the elevator
14 inches.
Package: robotchain
🤖 Python Framework SDK⚡ Python development framework for robotchain. ⚡已经内置在robotchain中，无需单独、重复安装，该仓库仅供学习参考。It is already built-in within robotchain, so there is no need for separate or redundant installation. This repository is provided for learning and reference purposes only.📖 Initialization安装相关依赖Install the required dependencies.pip3installrobotchaincolorlogwebsocket-client==0.48.0requestspyserialroslibpyempycolcon-common-extensionspymongotornado📖 Using templates#!/usr/bin/env python# -*- coding: utf-8 -*-importrobotchainasframeworkdefrobot_start(sdk):whileTrue:passdefrobot_message(sdk,message):passdefrobot_exit(sdk):passif__name__=='__main__':framework_sdk=framework.Init()robot_start(framework_sdk)📖 Development安装相关依赖Install the required dependencies.pip3installtwinesetuptoolswheel构建软件包Build software package.python3setup.pysdistbdist_wheel上传软件包到PyPIUpload software package to PyPI.twineuploaddist/*🌞 Development TeamGEEKROShttps://www.geekros.com