In what kind of scope are these data processing scripts? In some kind of pipeline used in production I very much would expect them to have reproducible dependencies.
I can understand it for exploratory Jupyter Notebook. But only in the truly exploratory stage. Say for example you are writing a paper. Reproducibility crisis. Exploring is fine, but when it gets to actually writing the paper, one needs to make ones setup reproducible, or lose credibility right away. Most academics are not aware of, or don't know how to, or don't care to, make things reproducible, leading to non-reproducible research.
I would be lying, if I claimed, that I personally always set up a lock file with hashsums for every script. Of course there can be scripts and things we care so little about, that we don't make them reproducible.
