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Changelog

All notable changes to Flatland will be documented in this file.

The format is based on Keep a Changelog, and this project adheres to Semantic Versioning.

[4.2.2] 2025-09-26

Added

Changed

[4.2.1] 2025-09-03

Added

[4.2.0] 2025-08-29

Added

[4.1.4] - 2025-08-16

Added

Changed

[4.1.3] - 2025-06-20

Added

Fixed

[4.1.2] - 2025-05-23

Added

Fixed

Changed

[4.1.1] - 2025-05-16

Added

Fixed

Changed

[4.1.0] - 2025-03-31

Added

Fixed

Changed

[4.0.6] - 2025-03-21

Added

Fixed

Changed

[4.0.5] - 2025-03-10

Added

  • 78 Extract performance profiling cli. by @chenkins in [pr#88]
  • 110 Over- and underpasses (aka. level-free diamond crossings). by @chenkins in [pr#120]
  • 109 Multi-stop Schedules (w/o alternatives/routing flexibility). by @chenkins in [pr#124]

Fixed

  • fix: from attr import attr, attrs, attrib, Factory ImportError: cannot import name 'attrs' from 'attr' by @chenkins in [pr#127]
  • Fix grammar and spelling in comments rail_env py by @SergeCroise in [pr#130]
  • 118 Add test_lru_cache_problem.py. by @chenkins in [pr#119]

Changed

  • 143 Retry for ml tests. by @chenkins in [pr#146]
  • Enable running notebooks in main workflow by @chenkins in [pr#144]
  • Use flatland-scenarios instead of data.flatland.cloud for trajectories. by @chenkins in flatland-association#153

[4.0.4] - 2025-02-18

Added

  • Grid to DiGraph Conversion and Graph Simplification [pr #90] and [pr flatland-book#6]
  • Policy evaluation and training cli (rllib) [pr #85]
    • extract ml dependencies (torch, gym, ray, etc.) to optional dependencies in pyproject.toml, new requirements-ml.txt and slimmer requirements[-dev].txt, keep core gym free.
    • accordingly, move corresponding code to new flatland.ml module
    • accordingly, move corresponding tests to tests.ml (tests becomes a Python module)
  • Enable redis in ci and run test_service.ipynb in ci [pr #65]
  • Run main workflow daily and allow for manual triggering. Update deprecated gh actions versions, see GitHub Blog [pr #83].
  • Add AWS_ENDPOINT_URL env var to override default S3 endpoint URL in aicrowd_helpers.py [pr #112].
  • Add episodes for benchmarking and regression tests [pr #105].
  • Dump results.json (evaluation state) along results.csv [pr #115].
  • Dump evaluation state along results output path. Make test env folder and supported client versions configurable for evaluation service. [pr #115].
  • Policy evaluation and training cli (rllib) [pr #85].

Fixed

  • Add flatland-rl apidocs back to flatland book again [pr flatland-book#7]
  • Fix flapping test malfunctions [pr #103]
  • Fix README.md indefinite article before a vowel sound [pr #95]

Changed

Removed

  • Use Python >= 3.10 (drop support for deprecated python 3.8 eol 2024-10-07, see https://devguide.python.org/versions/). Move ml dependencies from core dependencies to optional ml dependencies [pr #84].
  • Remove images folder. Images not referenced in documentation any more. Remove skipped test (fails tested locally) [pr #82].
  • Rendering folder is not used. Descriptions in txt file are also contained in examples/misc/generate_video/video_generation.md [pr #81].
  • Cleanup scripts folder to contain only scripts to be run with make [pr #80].
  • Remove flatland.action_plan module as obsolete [pr #79]

[4.0.3] - 2024-04-23

Github Action Release failed

Fixed.

[4.0.2] - 2024-04-23

Performance improvement

The rail generators (infrastructure) implementation is based on A*. The A* implementation has been improved in terms of calculation time. The main modification concerns the internal data structure which was widely used in the A* algorithm. The used ordered set is replaced by a heap that allows to fetch the nearest nodes in O(1) instead of O(n).

More details: flatland-association#68

[4.0.1] - 2023-10-30

Fixed

  • Removed dependency on an old version of gym which in turn brought in an old version of pyglet that caused issues on Windows.

[4.0.0] - 2023-10-27

Removed

  • Dropped support for Python 3.7 because it's end of life.

Changed

  • Improved performance by introducing an LRU cache.
  • Drastically improved performance by improving numpy usage.
  • Updated a lot dependencies.
  • Cleaned the project structure.
  • First release handled by the flatland association!

Fixed

  • Fixed a lot of bugs :)
  • The tests actually pass now.