WIP: Add Runner callbacks and option to cancel points

[basnijholt]

Description

cc @tlaeven

This allows to add periodic callbacks to the Runner and adds a way to cancel points that are currently being calculated.

import adaptive adaptive.notebook_extension() def depletion_voltage(x): """Calculates a depletion voltage curve.    Whenever the result is below 0, we know that for all points  to the left of that, the result is also zero.  """ from time import sleep from random import random sleep(random()) if x < -0.3: # Make some negative points really slow sleep(10) return max(0, x) learner = adaptive.Learner1D(depletion_voltage, bounds=(-1, 1)) runner = adaptive.Runner(learner, npoints_goal=50) def cancel_depleted_futures(runner): if not runner.learner.data: return zeros = [x for x, y in sorted(learner.data.items()) if y <= 0] if not zeros: return for fut, x in runner.pending_points: if x < zeros[-1]: print(f"cancelling {x=} because f(x={zeros[-1]})=0") runner.cancel_point(fut) runner.start_periodic_callback(cancel_depleted_futures, 3) runner.live_info()

Checklist

• Fixed style issues using pre-commit run --all (first install using pip install pre-commit)
• pytest passed

Type of change

Check relevant option(s).

• Bug fix (non-breaking change which fixes an issue)
• New feature (non-breaking change which adds functionality)
• Breaking change (fix or feature that would cause existing functionality to not work as expected)
• (Code) style fix or documentation update
• This change requires a documentation update

[codecov-commenter]

Codecov Report

Merging #385 (a1821f9) into main (28d4c35) will decrease coverage by 0.14%.
The diff coverage is 12.50%.

@@ Coverage Diff @@ ## main #385 +/- ## ========================================== - Coverage 77.88% 77.73% -0.15%  ========================================== Files 37 37 Lines 5508 5525 +17 Branches 989 995 +6 ========================================== + Hits 4290 4295 +5  - Misses 1066 1078 +12  Partials 152 152 

Impacted Files	Coverage Δ
adaptive/runner.py	65.73% <12.50%> (-3.01%)	⬇️
adaptive/learner/learner1D.py	87.71% <0.00%> (+0.49%)	⬆️
adaptive/learner/average_learner1D.py	74.75% <0.00%> (+0.66%)	⬆️

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