Alphapulldown

What's Changed
* Update Python version and jax version. Please be aware that the singularity image was updated as well. There are now 2 singularity images, one for the results generated by AlphaPulldown prior than version 1.0.0 and the other for the predictions generated by AlphaPulldown after version 1.0.0. Please check the details in Section 3 in [example_1.md](https://github.com/KosinskiLab/AlphaPulldown/blob/main/manuals/example_1.md) or [example_2.md](https://github.com/KosinskiLab/AlphaPulldown/blob/main/manuals/example_2.md)
* Allow the users to integrate cross-link mass spec data with AlphaFold predictions via AlphaLink2. Please refer to [run_with_AlphaLink2.md](https://github.com/KosinskiLab/AlphaPulldown/blob/main/manuals/run_with_AlphaLink2.md) for the details.

* Can use multimeric templates for guiding AlphaFold predictions, please refer to [example_3.md](https://github.com/KosinskiLab/AlphaPulldown/blob/main/manuals/example_3.md) for details. Credits to DimaMolod
* Added options to compress or remove pickle files in the results directories so that the output directories take much smaller space. Thanks to the advice from joshtburdick

test release to invoke new CI action

What's Changed
* Fixed the error where run_alphafold.py is missing in version 0.30.6
* Add versioning

What's Changed
* Now tidied up the structure of submodules
* Fixed the import error when executing the cells in the jupyter notebook as reported in 137
* Fixed the issue with randome seeds that may cause int overflows. Many thanks to jkosinski

What's Changed
* Now fixed pdbfixer version to 1.6.0 when creating the conda env Many thanks to deniskristak

* Fixed the error of ``template_confidence_scores many thanks to Pooryamb and kashyapchhatbar

What's Changed
* Now will continue even if the protein is not aligned to any templates instead of stopping the programme
* Allowed obsolete pdb to be used for template searching while running mmseqs mode. Many thanks to kttn8769