CompatHelper: bump compat for DynamicPPL to 0.31, (keep existing compat)

[github-actions]

This pull request changes the compat entry for the DynamicPPL package from 0.22.0,0.23.0,0.24.0,0.25,0.26.0,0.27,0.28.0,0.29.0,0.30.0 to 0.22.0,0.23.0,0.24.0,0.25,0.26.0,0.27,0.28.0,0.29.0,0.30.0, 0.31.
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.

[github-actions]

Benchmark Results

	master	92ab0d0...	master/92ab0d0ad372a4...
logpdf/("SequentialSamplingModels.DDM", 10)	1.68 ± 0.17 μs	1.68 ± 0.18 μs	1
logpdf/("SequentialSamplingModels.DDM", 100)	17.1 ± 0.84 μs	17.1 ± 0.87 μs	1
logpdf/("SequentialSamplingModels.LBA", 10)	2.45 ± 0.21 μs	2.44 ± 0.18 μs	1
logpdf/("SequentialSamplingModels.LBA", 100)	23.8 ± 0.62 μs	23.7 ± 0.56 μs	1
logpdf/("SequentialSamplingModels.LNR", 10)	0.98 ± 0.16 μs	0.975 ± 0.17 μs	1.01
logpdf/("SequentialSamplingModels.LNR", 100)	8.45 ± 0.28 μs	8.43 ± 0.27 μs	1
logpdf/("SequentialSamplingModels.RDM", 10)	2.65 ± 0.25 μs	2.63 ± 0.23 μs	1.01
logpdf/("SequentialSamplingModels.RDM", 100)	25.1 ± 0.69 μs	25 ± 0.68 μs	1
logpdf/("SequentialSamplingModels.Wald", 10)	0.229 ± 0.17 μs	0.229 ± 0.16 μs	1
logpdf/("SequentialSamplingModels.Wald", 100)	2.04 ± 0.17 μs	2.04 ± 0.18 μs	1
logpdf/("SequentialSamplingModels.WaldMixture", 10)	1.12 ± 0.16 μs	1.1 ± 0.16 μs	1.02
logpdf/("SequentialSamplingModels.WaldMixture", 100)	10.9 ± 0.17 μs	10.7 ± 0.16 μs	1.02
rand/("SequentialSamplingModels.DDM", 10)	2.89 ± 0.37 μs	2.92 ± 0.37 μs	0.992
rand/("SequentialSamplingModels.DDM", 100)	27.8 ± 1.2 μs	27.8 ± 1.2 μs	0.999
rand/("SequentialSamplingModels.LBA", 10)	2.99 ± 1.3 μs	3 ± 1.3 μs	0.999
rand/("SequentialSamplingModels.LBA", 100)	14.7 ± 0.33 μs	14.7 ± 0.28 μs	1
rand/("SequentialSamplingModels.LCA", 10)	0.587 ± 0.19 ms	0.594 ± 0.2 ms	0.988
rand/("SequentialSamplingModels.LCA", 100)	6.36 ± 0.25 ms	6.42 ± 0.23 ms	0.991
rand/("SequentialSamplingModels.LNR", 10)	1.02 ± 0.17 μs	1.02 ± 0.17 μs	0.997
rand/("SequentialSamplingModels.LNR", 100)	7.21 ± 3.7 μs	7.3 ± 3.7 μs	0.987
rand/("SequentialSamplingModels.RDM", 10)	1.37 ± 0.14 μs	1.38 ± 0.14 μs	0.997
rand/("SequentialSamplingModels.RDM", 100)	10.7 ± 3.8 μs	10.7 ± 3.8 μs	1
rand/("SequentialSamplingModels.Wald", 10)	0.468 ± 0.17 μs	0.465 ± 0.16 μs	1.01
rand/("SequentialSamplingModels.Wald", 100)	2.91 ± 0.2 μs	2.92 ± 0.22 μs	0.996
rand/("SequentialSamplingModels.WaldMixture", 10)	1.22 ± 0.17 μs	1.22 ± 0.16 μs	0.999
rand/("SequentialSamplingModels.WaldMixture", 100)	11.8 ± 0.19 μs	11.9 ± 0.21 μs	0.997
simulate/SequentialSamplingModels.DDM	3.8 ± 1.5 μs	3.74 ± 1.5 μs	1.02
simulate/SequentialSamplingModels.LBA	3.62 ± 1.6 μs	3.55 ± 1.6 μs	1.02
simulate/SequentialSamplingModels.LCA	0.08 ± 0.016 ms	0.0799 ± 0.016 ms	1
simulate/SequentialSamplingModels.RDM	0.0723 ± 0.022 ms	0.0738 ± 0.023 ms	0.979
simulate/SequentialSamplingModels.Wald	9.16 ± 4.4 μs	9.05 ± 4.4 μs	1.01
simulate/SequentialSamplingModels.WaldMixture	4 ± 1.6 μs	4.01 ± 1.5 μs	0.998
simulate/mdft	0.175 ± 0.066 ms	0.172 ± 0.069 ms	1.02
time_to_load	1.48 ± 0.011 s	1.48 ± 0.011 s	1

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).