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Currently when aspirating from the same resource for all channels, the liquid handler will assume the user would like all pipettes to go into the resource well in one operation. However, when the resource well is too small, it raises a ValueError ("Resource is too small to space channels."). This causes a problem when doing assembly plates where one might aspirate from the same resource well (small 96-plate), but dispensing into different destination wells.

I used Chatgpt to write some code which detects whether it can go into the resource well in one operation and if not it goes into the sequential fallback which will process the list of aspirations as individual operations. I have tested this on a Hamilton STARlet with an internal protocol, but please test this using other wet lab protocols.

…er.py

Implement sequential operation handling for liquid aspiration. Worked on reality Hamilton run.
Commented out the ValueError raise statement and added logic to return the center for sequential pipetting.
I ran python -m ruff format liquid_handler.py to change the original code into the format requested in linting.
This reverts commit c36bbcc.
Used the rc file /pyproject.toml this time.
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