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Switch to ComponentArrays #167
Merged
jpfairbanks
merged 8 commits into
AlgebraicJulia:main
from
ChrisRackauckas:componentarrays
Nov 3, 2023
Merged
Switch to ComponentArrays #167
jpfairbanks
merged 8 commits into
AlgebraicJulia:main
from
ChrisRackauckas:componentarrays
Nov 3, 2023
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Keep life simple man. ComponentArrays keeps a hierarchical abstract structure with an underlying vector, and thus works much better with many operations in terms of performance, but also works with LinearAlgebra in nicer ways than a MultiScaleArray. Given that the size of the state is constant, this is a much simpler thing to use. Also, it's faster. On Bukyko-Sellers: ```julia using BenchmarkTools @Btime solve(prob, Tsit5(), save_everystep=false); # Before: # 1.141 ms (2150 allocations: 60.66 KiB) # After: # 11.917 μs (145 allocations: 12.66 KiB) ```
Codecov ReportAll modified and coverable lines are covered by tests ✅
Additional details and impacted files@@ Coverage Diff @@
## main #167 +/- ##
==========================================
- Coverage 74.51% 74.42% -0.10%
==========================================
Files 9 9
Lines 1126 1122 -4
==========================================
- Hits 839 835 -4
Misses 287 287
☔ View full report in Codecov by Sentry. |
jpfairbanks
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Nov 2, 2023
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jpfairbanks
approved these changes
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Keep life simple man. ComponentArrays keeps a hierarchical abstract structure with an underlying vector, and thus works much better with many operations in terms of performance, but also works with LinearAlgebra in nicer ways than a MultiScaleArray. Given that the size of the state is constant, this is a much simpler thing to use.
Also, it's faster. On Bukyko-Sellers: