Help for troubleshooting specifically numba is provided at at this readthedocs page
If an error message appears after trying to run
pip install autolens first make sure you are using
the latest version of pip.
pip install --upgrade pip pip3 install --upgrade pip
Pip / Conda#
If you are trying to install via pip but still haing issues, we recommend you try to install via conda instead, or visa versa.
If you are still having issues with installation, please raise an issue on the autolens_workspace issues page with a description of the problem and your system setup (operating system, Python version, etc.).
Current Working Directory#
PyAutoLens scripts assume that the
autolens_workspace directory is the Python working directory. This means
that, when you run an example script, you should run it from the
autolens_workspace as follows:
cd path/to/autolens_workspace (if you are not already in the autolens_workspace). python3 examples/model/beginner/mass_total__source_lp.py
The reasons for this are so that PyAutoLens can:
Load configuration settings from config files in the
Load example data from the
Output the results of models fits to your hard-disk to the
If you have any errors relating to importing modules, loading data or outputting results it is likely because you
are not running the script with the
autolens_workspace as the working directory!
Matplotlib uses the default backend on your computer, as set in the config file:
If unchanged, the backend is set to ‘default’, meaning it will use the backend automatically set up for Python on your system.
[general] backend = default
There have been reports that using the default backend causes crashes when running the test script below (either the code crashes without a error or your computer restarts). If this happens, change the config’s backend until the test works (TKAgg has worked on Linux machines, Qt5Agg has worked on new MACs). For example:
[general] backend = TKAgg