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CompatHelper: bump compat for DynamicPPL to 0.36, (keep existing compat) #120

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CompatHelper: bump compat for DynamicPPL to 0.36, (keep existing compat) #120

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@github-actions github-actions bot commented Apr 25, 2025

This pull request changes the compat entry for the DynamicPPL package from 0.29.0,0.30.0,0.31.0,0.32.0,0.33.0,0.34.0,0.35.0 to 0.29.0,0.30.0,0.31.0,0.32.0,0.33.0,0.34.0,0.35.0, 0.36.
This keeps the compat entries for earlier versions.

Note: I have not tested your package with this new compat entry.
It is your responsibility to make sure that your package tests pass before you merge this pull request.

@itsdfish itsdfish closed this Apr 25, 2025
@itsdfish itsdfish reopened this Apr 25, 2025
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github-actions bot commented Apr 25, 2025

Benchmark Results

master cfe359c... master / cfe359c...
logpdf/("SequentialSamplingModels.DDM", 10) 1.67 ± 0.13 μs 1.65 ± 0.11 μs 1.01
logpdf/("SequentialSamplingModels.DDM", 100) 15.7 ± 0.8 μs 15.6 ± 0.78 μs 1
logpdf/("SequentialSamplingModels.LBA", 10) 2.92 ± 0.19 μs 2.94 ± 0.2 μs 0.994
logpdf/("SequentialSamplingModels.LBA", 100) 22.4 ± 0.7 μs 22.3 ± 0.72 μs 1
logpdf/("SequentialSamplingModels.LNR", 10) 1.72 ± 0.12 μs 1.67 ± 0.11 μs 1.03
logpdf/("SequentialSamplingModels.LNR", 100) 9.62 ± 0.36 μs 9.43 ± 0.31 μs 1.02
logpdf/("SequentialSamplingModels.RDM", 10) 2.64 ± 0.21 μs 2.63 ± 0.22 μs 1
logpdf/("SequentialSamplingModels.RDM", 100) 23.8 ± 0.77 μs 23.7 ± 0.78 μs 1
logpdf/("SequentialSamplingModels.Wald", 10) 0.475 ± 0.011 μs 0.456 ± 0.01 μs 1.04
logpdf/("SequentialSamplingModels.Wald", 100) 2.77 ± 0.9 μs 2.64 ± 0.041 μs 1.05
logpdf/("SequentialSamplingModels.WaldMixture", 10) 1.31 ± 0.016 μs 1.3 ± 0.014 μs 1
logpdf/("SequentialSamplingModels.WaldMixture", 100) 11 ± 0.18 μs 11 ± 0.18 μs 0.998
rand/("SequentialSamplingModels.DDM", 10) 3.22 ± 0.44 μs 3.16 ± 0.43 μs 1.02
rand/("SequentialSamplingModels.DDM", 100) 30.3 ± 1.7 μs 30.3 ± 1.6 μs 0.998
rand/("SequentialSamplingModels.LBA", 10) 1.76 ± 0.057 μs 1.73 ± 0.054 μs 1.01
rand/("SequentialSamplingModels.LBA", 100) 12.2 ± 0.3 μs 12 ± 0.29 μs 1.02
rand/("SequentialSamplingModels.LCA", 10) 0.523 ± 0.13 ms 0.523 ± 0.14 ms 0.999
rand/("SequentialSamplingModels.LCA", 100) 5.55 ± 0.19 ms 5.56 ± 0.17 ms 0.999
rand/("SequentialSamplingModels.LNR", 10) 1.19 ± 0.04 μs 1.22 ± 0.038 μs 0.972
rand/("SequentialSamplingModels.LNR", 100) 6.69 ± 2.7 μs 6.41 ± 2.6 μs 1.04
rand/("SequentialSamplingModels.RDM", 10) 1.19 ± 0.042 μs 1.18 ± 0.044 μs 1.01
rand/("SequentialSamplingModels.RDM", 100) 9.6 ± 0.35 μs 9.5 ± 0.33 μs 1.01
rand/("SequentialSamplingModels.Wald", 10) 0.413 ± 0.025 μs 0.397 ± 0.025 μs 1.04
rand/("SequentialSamplingModels.Wald", 100) 2.16 ± 0.069 μs 2.16 ± 0.075 μs 1
rand/("SequentialSamplingModels.WaldMixture", 10) 1.36 ± 0.025 μs 1.36 ± 0.03 μs 0.997
rand/("SequentialSamplingModels.WaldMixture", 100) 11.8 ± 0.14 μs 11.8 ± 0.099 μs 1
simulate/SequentialSamplingModels.DDM 1.96 ± 0.54 μs 1.95 ± 0.56 μs 1
simulate/SequentialSamplingModels.LBA 5.02 ± 3.7 μs 4.74 ± 0.87 μs 1.06
simulate/SequentialSamplingModels.LCA 0.0687 ± 0.014 ms 0.0695 ± 0.012 ms 0.988
simulate/SequentialSamplingModels.RDM 0.0889 ± 0.031 ms 0.0934 ± 0.031 ms 0.953
simulate/SequentialSamplingModels.Wald 4.47 ± 1.6 μs 4.57 ± 2 μs 0.978
simulate/SequentialSamplingModels.WaldMixture 2.29 ± 0.58 μs 2.05 ± 0.5 μs 1.12
simulate/mdft 0.163 ± 0.059 ms 0.163 ± 0.058 ms 1
time_to_load 0.9 ± 0.013 s 0.905 ± 0.011 s 0.995

Benchmark Plots

A plot of the benchmark results have been uploaded as an artifact to the workflow run for this PR.
Go to "Actions"->"Benchmark a pull request"->[the most recent run]->"Artifacts" (at the bottom).

@itsdfish itsdfish closed this Apr 25, 2025
@itsdfish itsdfish mentioned this pull request Apr 30, 2025
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