Changelog

Forthcoming

Python 2/3 compatibility

0.5.10 (2017-06-17)

[meta] add children monkeypatching for composite imposters
[blackboard] check for nested variables in WaitForBlackboard

0.5.9 (2017-03-25)

[docs] bugfix image links and rewrite the motivation

0.5.8 (2017-03-19)

[infra] setup.py tests_require, not test_require

0.5.7 (2017-03-01)

[infra] update maintainer email

0.5.5 (2017-03-01)

[docs] many minor doc updates
[meta] bugfix so that imposter now ticks over composite children
[trees] method for getting the tip of the tree
[programs] py-trees-render program added

0.5.4 (2017-02-22)

[infra] handle pypi/catkin conflicts with install_requires

0.5.2 (2017-02-22)

[docs] disable colour when building
[docs] sidebar headings
[docs] dont require project installation

0.5.1 (2017-02-21)

[infra] pypi package enabled

0.5.0 (2017-02-21)

[ros] components moved to py_trees_ros
[timeout] bugfix to ensure timeout decorator initialises properly
[docs] rolled over with napolean style
[docs] sphinx documentation updated
[imposter] make sure tip() drills down into composites
[demos] re-organised into modules

0.4.0 (2017-01-13)

[trees] add pre/post handlers after setup, just in case setup fails
[introspection] do parent lookups so you can crawl back up a tree
[blackboard] permit init of subscriber2blackboard behaviours
[blackboard] watchers
[timers] better feedback messages
[imposter] ensure stop() directly calls the composited behaviour

0.3.0 (2016-08-25)

failure_is_running decorator (meta).

0.2.0 (2016-06-01)

do terminate properly amongst relevant classes
blackboxes
chooser variant of selectors
bugfix the decorators
blackboard updates on change only
improved dot graph creation
many bugfixes to composites
subscriber behaviours
timer behaviours

0.1.2 (2015-11-16)

one shot sequences
abort() renamed more appropriately to stop()

0.1.1 (2015-10-10)

lots of bugfixing stabilising py_trees for the spain field test
complement decorator for behaviours
dot tree views
ascii tree and tick views
use generators and visitors to more efficiently walk/introspect trees
a first implementation of behaviour trees in python