Mesa 2.3.2 is a small patch release which fixes two bugs, one to the batch_run function still depending on schedule.steps, and one in the agent marker visualisation.
Mesa 2.3.0 is a big feature release and the last feature release before 3.0.
There are two main new features:
The experimental cell-centric discrete spaces, as added in #1994. It allows having cells with not only properties but also active behaviors: the CellAgent. Its inspired by NetLogo's patches but extend and generalize this concept further.
Full support for discrete event scheduling, as added in #2066. It allows scheduling events (like Agent actions) at any time, including non-integer timesteps.
There are a lot of other features: The Jupyter visualisation now supports easier way to specify sliders, NetworkGrid.get_neighbors() supports a radius, AgentSet.get() can retrieve multiple attributes and there are now benchmarks to track Mesa performance during development.
Finally, 2.3.0 stabilizes the AgentSet (including model.agents), making it the first experimental Mesa feature that is taken out of it's experimental phase.
Install this release with:
pip install --upgrade mesa
The Mesa 2.3.x-series supports Python 3.9 to 3.12. The next major release will require Python 3.10.
Mesa 2.3.2 is a small patch release which fixes two bugs, one to the batch_run function still depending on schedule.steps, and one in the agent marker visualisation.
Mesa 2.3.0 is a big feature release and the last feature release before 3.0.
There are two main new features:
The experimental cell-centric discrete spaces, as added in #1994. It allows having cells with not only properties but also active behaviors: the CellAgent. Its inspired by NetLogo's patches but extend and generalize this concept further.
Full support for discrete event scheduling, as added in #2066. It allows scheduling events (like Agent actions) at any time, including non-integer timesteps.
There are a lot of other features: The Jupyter visualisation now supports easier way to specify sliders, NetworkGrid.get_neighbors() supports a radius, AgentSet.get() can retrieve multiple attributes and there are now benchmarks to track Mesa performance during development.
Finally, 2.3.0 stabilizes the AgentSet (including model.agents), making it the first experimental Mesa feature that is taken out of it's experimental phase.
Install this release with:
pip install --upgrade mesa
The Mesa 2.3.x-series supports Python 3.9 to 3.12. The next major release will require Python 3.10.
Dependabot will resolve any conflicts with this PR as long as you don't alter it yourself. You can also trigger a rebase manually by commenting @dependabot rebase.
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dependabot[bot]
commented
1 month ago
Bumps mesa from 1.1.1 to 2.3.2.
Release notes
Sourced from mesa's releases.
... (truncated)
Changelog
Sourced from mesa's changelog.
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Commits
3305dbbUpdate release notes and version for 2.3.2e6d3f3efix: Use model.schedule.steps -> mode._steps for batch_run6b8146afix: Render agent marker radius correctly3dba2a4Update release notes and version for 2.3.116f8eb4Add experimental features to the docs (#2154)f64d6e6datacollector: store separate snapshots of model data per step (#2129)13d41fcCI: Add weekly scheduled run to all CI workflowsc4d02212.3.x-maintenance: Bump version to 2.3.1-deved2cadfHISTORY.md: Fix two spelling errors (#2120)2e282e1Make agent move to actual random closest position (#2119)Dependabot will resolve any conflicts with this PR as long as you don't alter it yourself. You can also trigger a rebase manually by commenting
@dependabot rebase.Dependabot commands and options
You can trigger Dependabot actions by commenting on this PR: - `@dependabot rebase` will rebase this PR - `@dependabot recreate` will recreate this PR, overwriting any edits that have been made to it - `@dependabot merge` will merge this PR after your CI passes on it - `@dependabot squash and merge` will squash and merge this PR after your CI passes on it - `@dependabot cancel merge` will cancel a previously requested merge and block automerging - `@dependabot reopen` will reopen this PR if it is closed - `@dependabot close` will close this PR and stop Dependabot recreating it. You can achieve the same result by closing it manually - `@dependabot show