Closed JesusTorrado closed 9 months ago
Merging #322 (2a90ba9) into master (9502fce) will increase coverage by
0.00%
. Report is 1 commits behind head on master. The diff coverage is91.80%
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@@ Coverage Diff @@
## master #322 +/- ##
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Coverage 84.78% 84.79%
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Files 124 124
Lines 9127 9159 +32
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+ Hits 7738 7766 +28
- Misses 1389 1393 +4
Files | Coverage Δ | |
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cobaya/input.py | 83.13% <100.00%> (ø) |
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cobaya/likelihood.py | 93.33% <ø> (ø) |
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cobaya/output.py | 88.74% <100.00%> (+0.03%) |
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cobaya/post.py | 89.94% <100.00%> (+0.12%) |
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cobaya/samplers/mcmc/mcmc.py | 91.64% <ø> (ø) |
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cobaya/collection.py | 89.48% <90.56%> (-0.26%) |
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Looks OK, I guess whatever you do it will be a bit messy
Looks OK, I guess whatever you do it will be a bit messy
Yeah, no clean solution. Finally added with_batch
in the minimal number of places where spurious relative weights between chains can be introduced: when detempering and reweighting. I have added a test for this features in test_post_prior
, on top of the equivalent getdist one already there.
I have also tried to solve #306
Waiting for your review/go-ahead.
OK to merge if tests pass?
Should we merge #319 and release 3.3.3? or better 3.4 since the there were a couple of major fixes?
Sounds good to me, 3.4 could make sense.
Which changes addressed #306?
Which changes addressed #306?
https://github.com/CobayaSampler/cobaya/pull/322/commits/3957c79d237d1293b908a5d93a58f3576c145ec8
Raises rtol from default 1e-5 to 1e-4. Could not verify, bc I have failed to reproduce the issue myself (reload with custom priors, at different temperatures).
Thanks. I guess it depends on the order of magnitude of the various terms.
Should work.
@cmbant any feedback on the general approach before I go on with the TODO's?
TODO: do the same with
Collection
methodsreweght
,mean
andcov