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Stashing current state of ctf regression.

I'm still not clear on when the defocus angle was rotated pi/2, and we should check what actual results are expected to be, but I've run out of time for this right now.

The convex condition is an actual regression from an optimization that occurred when the unit test assert was missing.

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codecov bot commented Sep 7, 2022

Codecov Report

Merging #690 (734d33d) into develop (8811228) will increase coverage by 0.00%.
The diff coverage is 100.00%.

@@           Coverage Diff            @@
##           develop     #690   +/-   ##
========================================
  Coverage    87.45%   87.45%           
========================================
  Files          112      112           
  Lines         8369     8370    +1     
========================================
+ Hits          7319     7320    +1     
  Misses        1050     1050           
Impacted Files Coverage Δ
src/aspire/ctf/ctf_estimator.py 98.57% <100.00%> (+<0.01%) ⬆️

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@garrettwrong garrettwrong marked this pull request as ready for review September 8, 2022 19:23
@garrettwrong garrettwrong requested a review from janden as a code owner September 8, 2022 19:23
# the following parameters have higher tolerances

# defocusU
np.allclose(
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Huh…

@garrettwrong garrettwrong merged commit d94bb4a into develop Sep 15, 2022
@garrettwrong garrettwrong deleted the ctf_regression branch September 15, 2022 14:20
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3 participants