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dweindl committed Nov 28, 2024
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54 changes: 54 additions & 0 deletions CHANGELOG.md
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## v0.X Series

### v0.29.0 (2024-11-28)

**Fixes**

* Fixed race conditions in froot, which could have resulted in incorrect
simulation results for models with events/heavisides/piecewise, for
multi-threaded simulations.

by @dweindl in https://github.com/AMICI-dev/AMICI/pull/2587

* Fixed race conditions for the max-time check, which could have resulted in
incorrect termination of simulations in case of multi-threaded simulations
in combination with a time limit.

by @dweindl in https://github.com/AMICI-dev/AMICI/pull/2587

* Added missing fields in ExpData HDF5 I/O

by @dweindl in https://github.com/AMICI-dev/AMICI/pull/2593

* Added missing fields in ReturnData HDF5 output

by @dweindl in https://github.com/AMICI-dev/AMICI/pull/2602


* **Features**

* Generate models in a JAX-compatible format
([example](https://amici.readthedocs.io/en/develop/ExampleJaxPEtab.html))

by @FFroehlich in https://github.com/AMICI-dev/AMICI/pull/1861

* Faster `fill_in_parameters_for_condition`

by @dweindl in https://github.com/AMICI-dev/AMICI/pull/2586

* Added Python function `writeSimulationExpData` for writing ExpData to HDF5

by @dweindl in https://github.com/AMICI-dev/AMICI/pull/2588

* Improved import of amici-generated models via `amici.import_model_module()`.

So far, it was not possible to import different model modules with the same
name. This is now possible if they are in different directories.
Overwriting an already imported module is still not possible (and never
was); any attempts to do so will raise a `RuntimeError`.
While model packages can, in principle, be imported using regular
`import`s, it is strongly recommended to use `amici.import_model_module()`.

by @dweindl in https://github.com/AMICI-dev/AMICI/pull/2604, https://github.com/AMICI-dev/AMICI/pull/2603, https://github.com/AMICI-dev/AMICI/pull/2596

**Full Changelog**: https://github.com/AMICI-dev/AMICI/compare/v0.28.0...v0.29.0


### v0.28.0 (2024-11-11)

**Breaking changes**
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0.28.0
0.29.0

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