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CNApy 1.2.3
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@Paulocracy Paulocracy released this 19 Nov 10:34
· 2 commits to master since this release
v1.2.3
06e5f32
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This is a hotfix regarding issue #528 and, if you use the installer, an occassional "numpy.bool" error".
While this hotfix mitigates the Gurobi error in the former, the newest Gurobi version (starting from version 12) are currently unsupported until this issue in CNApy's dependency is fixed.

Installation Options

There are 4 alternative ways to install CNApy:

  1. The easiest way for any user to install CNApy is by downloading its installer, which is provided for Windows, Linux and MacOS, see Using CNApy installer for more.
  2. If you already have installed Python 3.10 (no other version) on your system, you can install CNApy simply through pip install cnapy in your console. Afterwards, you can start CNApy's GUI by running either cnapy or, if this doesn't work, python -m cnapy where "python" must call your Python 3.10 installation.
  3. If you already use conda or mamba (for mamba, just change the "conda" command to "mamba"), you can create a CNApy environment named cnapy-1.2.2 as follows: 1) Run conda create --name cnapy-1.2.2 python=3.10 pip openjdk -c conda-forge, 2) run conda activate cnapy-1.2.2, 3) run pip install cnapy. Then, you can start CNApy in the cnapy-1.2.2 conda environment by running either cnapy or, if this doesn't work, python -m cnapy. Note that the cnapy conda package is currently not being updated due to licensing uncertainties.
  4. If you want to develop CNApy, follow the instruction for the cloning and setup of the CNApy repository using git and conda or mamba in section Setup the CNApy development environment.

What's Changed

Full Changelog: v1.2.2...v1.2.3

Contributors

Paulocracy
Assets 4
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