Numba

Numba (https://numba.pydata.org) is an optional library which makes PyAutoCTI run a lot faster, which we strongly recommend all users have installed.

However, some users have experienced difficulties installing numba, meaning they have been unable to try out PyAutoCTI and determine if it the right software for them, before committing more time to installing numba successfully.

For this reason, numba is an optional installation, so that users can easily experiment and learn the basic API.

If you do not have numba installed, you can do so via pip as follows:

pip install numba

Troubleshooting (Conda)

Numba can be installed as part of your conda environment, with this version of numba used when you make the conda environment.

If you cannot get numba to install in an existing conda environment you can try creating a new one from fresh, which is created with numba

To install (or update) numba in conda use the following command:

conda install numba

When you create the conda environment run the following command:

conda create -n autocti numba astropy scikit-image scikit-learn scipy

You can then follow the standard conda installation instructions give here https://pyautocti.readthedocs.io/en/latest/installation/conda.html

Troubleshooting (Numpy)

The libraries numpy and numba can be installed with incompatible versions.

An error message like the one below occurs when importing PyAutoCTI:

Traceback (most recent call last):
  File "<stdin>", line 1, in <module>
  File "/home/jammy/venvs/PyAutoMay2/lib/python3.8/site-packages/autoCTI/__init__.py", line 1, in <module>
    from autoarray import preprocess
  File "/home/jammy/venvs/PyAutoMay2/lib/python3.8/site-packages/autoarray/__init__.py", line 2, in <module>
    from . import type
  File "/home/jammy/venvs/PyAutoMay2/lib/python3.8/site-packages/autoarray/type.py", line 7, in <module>
    from autoarray.mask.mask_1d import Mask1D
  File "/home/jammy/venvs/PyAutoMay2/lib/python3.8/site-packages/autoarray/mask/mask_1d.py", line 8, in <module>
    from autoarray.structures.arrays import array_1d_util
  File "/home/jammy/venvs/PyAutoMay2/lib/python3.8/site-packages/autoarray/structures/arrays/array_1d_util.py", line 5, in <module>
    from autoarray import numba_util
  File "/home/jammy/venvs/PyAutoMay2/lib/python3.8/site-packages/autoarray/numba_util.py", line 2, in <module>
    import numba
  File "/home/jammy/venvs/PyAutoMay2/lib/python3.8/site-packages/numba/__init__.py", line 200, in <module>
    _ensure_critical_deps()
  File "/home/jammy/venvs/PyAutoMay2/lib/python3.8/site-packages/numba/__init__.py", line 140, in _ensure_critical_deps
    raise ImportError("Numba needs NumPy 1.21 or less")
ImportError: Numba needs NumPy 1.21 or less

This can be fixed by reinstalling numpy with the version requested by the error message, in the example numpy 1.21 (you should replace the ==1.21.0 with a different version if requested).

pip install numpy==1.21.0