Python Based TraCI Client for Vadere

python based TraCI client for vadere.

main authors hm-schuegra / hm-schubae

• [misc] apply styleguide to VadereManager module
• [misc] autopep vadere-lauchner.py
• [pythontraciwrapper] Added second start method to Py4jClient
• [pythontraciwrapper] Adding PythonTraCIWrapper to tools with git subtree
• [pythontraciwrapper] Extending pythontraciwrapper
• [pythontraciwrapper] Implemented _polygonapi_wrapper
• [pythontraciwrapper] Implemented a basic py4j client
• [pythontraciwrapper] Implemented pytraci controll commands
• [pythontraciwrapper] Improving py4j client
• [pythontraciwrapper] Move Py4jClient to pythontraciwrapper
• [pythontraciwrapper] Removing PythonTraCIWrapper from tools
• [pythontraciwrapper] Skeleton py4j TraCI Wrapper
• [pythontraciwrapper] apply code formatting
• [pythontraciwrapper] set version to 0.2
• [pythontraciwrapper] use list in subprocess instead of string. fix for linux.
• [TraCI] Adapt new createNew such that it uses the type of the peds in the simulation when reading the minimal attributes from JSON
• [TraCI] Add new start method to client to access sendFileFromPath via the Py4j wrapper
• [TraCI] Add processors to scenario
• [TraCI] Added scenarios for ReinforcementLearning
• [TraCI] Allow multiple py4j clients to interact with vadere via traci, each client having its own manager
• [TraCI] Annotated some methods of polygonapi
• [TraCI] Automated start of manager and entrypoint in Py4jClient just for developement.
• [TraCI] Extending personapi on python side
• [TraCI] Find explanation for redundant command identifier byte in getVersion
• [TraCI] Fix bug in createTargetChanger builder
• [TraCI] Fix bug in poly.getIDList
• [TraCI] Fix getVersion bug
• [TraCI] Fix tests
• [TraCI] Implement more tests
• [TraCI] Implement pers.getMaximumSpeed
• [TraCI] Implement pers.getVelocity
• [TraCI] Implement poly.getTopographyBounds # Conflicts: # Tools/PythonTraCIWrapper/pythontraciwrapper/_personapi_wrapper.py
• [TraCI] Implement some tests for setters, extend tests for getters by one check
• [TraCI] Implemented createWaitingArea for traci, Example
• [TraCI] Implemented getSimTime for python wrapper
• [TraCI] Implemented getter and setter for nextTargetListIndex to make a workaround Issue #285 (closed) of possible
• [TraCI] Implemented getter for hasNextTarget
• [TraCI] Implemented poly.getCentroid, implemented poly.getDistance with a workaround
• [TraCI] Implemented py4j-wrapper for getter and setter of nextTargetListIndex
• [TraCI] Implemented setStimulusInfo, removed add/remove WaitingArea
• [TraCI] Implemented some methods of traci polygonapi
• [TraCI] Implemented some tests
• [TraCI] Integrated VadereAPI
• [TraCI] Kill entrypoint process when python program terminates withatexit
• [TraCI] Made py4j_client take either the parsed args or the raw args from the command line from the instantiator.
• [TraCI] Make createTargetChanger take json
• [TraCI] Make sendFile more flexible
• [TraCI] Make sendFileFromPath public to make API more flexible
• [TraCI] Make test for process_getCacheHash platform independent
• [TraCI] Move argParsing to py4j_client in the pythontraciwrapper package.
• [TraCI] Parameterised port of TraCIEntryPoint
• [TraCI] Refactor tests, implement new tests
• [TraCI] Refactored poly.getDistance
• [TraCI] Refactoring
• [TraCI] Refactoring & fixing a bug in client-side of removeTargetChanger and removeWaitingArea
• [TraCI] Refactoring VadereApi
• [TraCI] Removed hard-coded path and port number, inserted a check into test of process_getCacheHash
• [TraCI] Removed hard-coded paths from TraCIEntryPoint
• [TraCI] Resolving some problems in the python interface
• [TraCI] Test process_getCacheHash
• [TraCI] WIP reimplementing Polygon Api
• [TraCI] Workaround for ctr.getVersion bug
• [TraCI] Working on traci controll commands for python client
• [TraCI] add generic Json compound object
• [TraCI] create and add TargetChangerController process_addTargetChanger
• [TraCI] wrote test for getAllStimulusInfos
• [ReinforcementLearning] Adding scenarios with small crowd
• [ReinforcementLearning] Increase number of targets.
• [ReinforcementLearning]Add scenario as demo and test case for