JohannesBuchner / UltraNest
74%
master: 74%

LAST BUILD BRANCH: feature-serialized-stepsampler
DEFAULT BRANCH: master
Repo Added
Files 15
Badge
Embed ▾
README BADGES
x

If you need to use a raster PNG badge, change the '.svg' to '.png' in the link

Markdown

Textile

RDoc

HTML

Rst

LAST BUILD ON BRANCH feature-serialized-stepsampler
branch: SELECT
CHANGE BRANCH
x

coverage: 74.482% (+0.3%) from 74.15%
36141be2-bf6e-4fe4-86c2-fed8294d9aee

Pull #167

circleci

JohannesBuchner 
Merge branch 'master' into feature-serialized-stepsampler
Pull Request #167: Feature serialized stepsampler

1058 of 1700 branches covered (62.24%)

Branch coverage included in aggregate %.

92 of 103 new or added lines in 3 files covered. (89.32%)

1 existing line in 1 file now uncovered.

4114 of 5244 relevant lines covered (78.45%)

0.78 hits per line

Relevant lines Covered
5244 RELEVANT LINES 4114 COVERED LINES
0.78 HITS PER LINE
Source Files on master

Recent builds

Builds Branch Commit Type Ran Committer Via Coverage
36141be2... feature-serialized-stepsampler Merge branch 'master' into feature-serialized-stepsampler Pull #167 JohannesBuchner circleci
74.48
263cdc3c... feature-serialized-stepsampler RoundRobinPointQueue: remove prints, reduce memory usage push JohannesBuchner circleci
74.48
beb7d4ed... feature-serialized-stepsampler undoing a previous commit, allowing reverting stepsamplers again Without reverting, a stepsampler may return a result, but it cannot be used anymore, even when resuming it would probably not be loaded. With reverting, raising the Lmin should affe... push JohannesBuchner circleci
74.5
4757a854... feature-serialized-stepsampler include queue to avoid mixing of different sampler speeds push JohannesBuchner circleci
74.47
5e479eab... master doc fixes push JohannesBuchner circleci
74.15
5f378c01... feature-serialized-stepsampler remove the feature of reverting the step sampler. Old behaviour: When running with MPI, step samplers can progress at different efficiencies. The point of the first one that finishes N steps is accepted and this increases the nested sampling like... push JohannesBuchner circleci
74.26
03de44a1... master bug fix: LocalAffineLayer reverted back to AffineLayer after the first iteration. Also, region of bounding box was computed incorrectly... push JohannesBuchner circleci
74.15
fce5ba6b... master add changelog until 4.3 push JohannesBuchner circleci
74.25
0468c9b2... master Bump version: 4.3.4 → 4.4.0 push JohannesBuchner circleci
74.25
76d68ae2... feature-numpy2 [ci] remove python 3.7 which does not work anymore push JohannesBuchner circleci
74.25
See All Builds (223)