Amici

Latest version: v0.31.0

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0.7.7

Not secure
Fixes a couple of bugs just introduced in v0.7.6

0.7.6

Not secure
Important: **Use AMICI v0.7.7 due to https://github.com/ICB-DCM/AMICI/pull/403/commits/3a495d3db2fdbba70c2b0d52a3d4655c33c817a2**

Bug fixes:
- Python import: Fix log10 issues in observables (382)
- Matlab: Fix broken model compilation (392)
- Fixed simulation for models without observables (390)
- Fixed potential matlab memory leaks (392)

Breaking C++ API changes:
- Revised ExpData interface (388)

0.7.5

Not secure
Features/enhancements:
- Add computation of residuals, residuals sensitivity, Fisher information matrix (223)
- More efficient conversion of std::vector to numpy ndarray (375)
- Allow specifying timepoints in ExpData (370)

Minor fixes:
- Condition parameters in ExpData now only temporarily override Model parameters (371)
- Ensure non-negative states for Newton solver (378)

0.7.4

Not secure
Features/enhancements:
- Check SBML model validity (343)
- Allow per-parameter setting of amioptions::pscale from matlab interface (350)
- Documentation

Major fixes:
- Don't compile main.cpp into python model module which broke modules if amici was compiled without libhdf5 (363)

Minor fixes:
- Fix compiler warnings (353)
- Plotting, SBML example mode, ...

0.7.3

Not secure
Features:
- Added symbol names to python-wrapped models and make available via Model.getParameterNames(), model.getStateNames(), ...
- Extended Python interface example

Python package available via pypi: https://pypi.org/project/amici/0.7.3/

0.7.2

Not secure
Features:
- Python package: more flexible HDF5 library localization
- Extended CI: python tests, preequilibration tests, run in venv

Major bugfixes:
- Fix python sbml model import / compilation error (undefined function)
- Fix model preequilibration

Minor fixes:
- Various fixes for mingw compilation of python source distribution
- Cmake compatibility with < 3.8 restored

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