Closed stevenvdb closed 5 years ago
Merging #52 into master will increase coverage by
0.23%
. The diff coverage is87.12%
.
@@ Coverage Diff @@
## master #52 +/- ##
==========================================
+ Coverage 82.07% 82.31% +0.23%
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Files 91 94 +3
Lines 13586 13958 +372
Branches 1851 1934 +83
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+ Hits 11151 11489 +338
- Misses 2012 2027 +15
- Partials 423 442 +19
Impacted Files | Coverage Δ | |
---|---|---|
yaff/pes/vlist.py | 92.35% <ø> (+1.91%) |
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yaff/pes/scaling.py | 88.37% <0%> (+3.48%) |
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yaff/pes/test/common.py | 83.6% <100%> (+3.8%) |
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yaff/__init__.py | 100% <100%> (ø) |
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yaff/sampling/utils.py | 54.28% <100%> (+7.17%) |
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yaff/pes/test/test_pair_pot.py | 97.2% <100%> (-0.07%) |
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yaff/sampling/test/test_utils.py | 100% <100%> (ø) |
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yaff/external/__init__.py | 100% <100%> (ø) |
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yaff/external/liblammps.py | 84.17% <84.17%> (ø) |
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yaff/external/lammpsio.py | 87.83% <87.83%> (ø) |
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... and 7 more |
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This PR implements a new ForcePart, which allows to outsource the calculation of noncovalent interactions to LAMMPS. Because interactions are tabulated (except for point-charge electrostatics), this should be compatible with any pair interaction available in Yaff.
Unit tests are included but only performed in Travis, where the LAMMPS library is installed using Conda. For Windows, no proper Conda package is available and the related unit tests are skipped in this case.
Information on how to use LAMMPS as a library is given in a new section of the Yaff manual. It should be possible to use it as a black box, by using the swap_noncovalent_lammps function. For a system with about 10 000 atoms, an NVT simulation runs about 7 times faster on a single core. Using LAMMPS in parallel, the speedup increases to 40 relative to a pure Yaff simulation.
First tests with a conda install of LAMMPS during Travis CI.