RL Parallel did not run out-of-the-box

[avalluvan]

The recently merged pull request on RL Parallelization v2 #408 did not run out-of-the-box upon cosipy installation. The issue can be traced back to the update from histpy 1.x to 2.x. In the former, the underflow and overflow bins were tracked by default which required some workarounds for the RL dataIF code. As this tracking feature has been set to False by default in histpy 2.x, the workarounds had to be removed. This pull request verifies the code so that it can work with histpy 2.x.

Changes made:

• RLparallelscript.py: Remove *_DIR and update "- 2" in nrows, ncols
• dataIF_Parallel.py: Update response loader function to work with histpy 2.0

[avalluvan]

Aside, I also verified that this code works with the MAP_RL implementation. The serial and parallel results look identical.
With parallel code,

With serial code,

[codecov]

Codecov Report

❌ Patch coverage is 11.76471% with 15 lines in your changes missing coverage. Please review.
✅ Project coverage is 80.03%. Comparing base (f22aa8a) to head (9c4df5b).
⚠️ Report is 97 commits behind head on develop.

Files with missing lines	Patch %	Lines
cosipy/image_deconvolution/dataIF_Parallel.py	11.76%	15 Missing ⚠️

Files with missing lines	Coverage Δ
cosipy/image_deconvolution/RLparallelscript.py	0.00% <ø> (ø)
cosipy/image_deconvolution/dataIF_Parallel.py	14.43% <11.76%> (-0.71%)	⬇️

... and 3 files with indirect coverage changes

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[hiyoneda]

Thanks, @avalluvan. Can we check if the input histogram has overflow/underflow bins first, and then adjust the way we slice it?

[hiyoneda]

For a pre-computed extended source response, you can check the overflow bins like this.

from cosipy.response import ExtendedSourceResponse

rsp = ExtendedSourceResponse.open('511_gal_DC2_earthocc_nooverflow.h5')

rsp.track_overflow() # it returns like array([False, False, False, False, False]) for each axis ('NuLambda', 'Ei', 'Em', 'Phi', 'PsiChi').

[avalluvan]

@hiyoneda the recommended changes have been incorporated

[hiyoneda]

Thanks, Anaya. It is ready to be merged.

[hiyoneda]

Do you know how we can pass the codecov/path check for the parallel RL?

[avalluvan]

Hi Hiroki. Gentle follow up to approve the pull request and complete the merge.

[hiyoneda]

Yes, I can approve it, but the codecov/path looks like it is failing, so the merging is blocked. I think that the unittest should cover dataIF_parallel, but it might be difficult due to OpenMPI. Do you remember how you solved it before (maybe @israelmcmc)?

[israelmcmc]

It's an open issu (#409). For now I think the only way is to run pytest-cov locally in a system that has MPI.

@avalluvan Please add the necessary tests and check the coverage with pytest-cov. I'll take your word for it and bypass the codecov enforcement. Here are the instructions: https://github.com/cositools/cosipy/blob/develop/docs/dev/unit_tests.rst