cutting acq files into runs lead to very unreasonably large memory usage, and long runtime.
After memory and time profiling here are the proposed changes.
I ran the test locally and some crashed but do not seem related to my changes. I fixed one of the fail test by adding the missing requirements.

Proposed Changes

• properly close matplotlib figures after rendering/saving to avoid clogging memory
• replace loop-based trigger counting with a more (100-fold) efficient numpy-based one.
• fix requirements to have some failing test passing

Change Type

• bugfix (+0.0.1)
• minor (+0.1.0)
• major (+1.0.0)
• refactoring (no version update)
• test (no version update)
• infrastructure (no version update)
• documentation (no version update)
• other

Checklist before review

• I added everything I wanted to add to this PR.
• [Code or tests only] I wrote/updated the necessary docstrings.
• [Code or tests only] I ran and passed tests locally.
• [Documentation only] I built the docs locally.
• My contribution is harmonious with the rest of the code: I'm not introducing repetitions.
• My code respects the adopted style, especially linting conventions.
• The title of this PR is explanatory on its own, enough to be understood as part of a changelog.
• I added or indicated the right labels.

• I added information regarding the timeline of completion for this PR.

• Please, comment on my PR while it's a draft and give me feedback on the development!