CompatHelper: bump compat for DynamicPPL in [weakdeps] to 0.42, (keep existing compat)

[github-actions]

This pull request changes the compat entry for the DynamicPPL package from 0.25 - 0.39, 0.40 to 0.25 - 0.39, 0.40, 0.42.
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	1daf390...	master / 1daf390...
logpdf/("SequentialSamplingModels.DDM", 10)	1.77 ± 0.13 μs	1.79 ± 0.13 μs	0.991 ± 0.1
logpdf/("SequentialSamplingModels.DDM", 100)	17.2 ± 0.95 μs	17.1 ± 1 μs	1 ± 0.082
logpdf/("SequentialSamplingModels.LBA", 10)	2.93 ± 0.15 μs	2.94 ± 0.16 μs	0.998 ± 0.077
logpdf/("SequentialSamplingModels.LBA", 100)	22.3 ± 0.68 μs	22.3 ± 0.71 μs	1 ± 0.044
logpdf/("SequentialSamplingModels.LNR", 10)	1.68 ± 0.16 μs	1.67 ± 0.16 μs	1.01 ± 0.14
logpdf/("SequentialSamplingModels.LNR", 100)	9.16 ± 0.47 μs	8.77 ± 0.66 μs	1.04 ± 0.094
logpdf/("SequentialSamplingModels.RDM", 10)	2.64 ± 0.3 μs	2.64 ± 0.3 μs	1 ± 0.16
logpdf/("SequentialSamplingModels.RDM", 100)	23.6 ± 1 μs	23.6 ± 1 μs	0.999 ± 0.061
logpdf/("SequentialSamplingModels.Wald", 10)	1.38 ± 0.01 μs	1.37 ± 0.009 μs	1 ± 0.0098
logpdf/("SequentialSamplingModels.Wald", 100)	11.8 ± 0.24 μs	11.8 ± 0.25 μs	0.999 ± 0.029
rand/("SequentialSamplingModels.DDM", 10)	3.14 ± 0.37 μs	3.19 ± 0.38 μs	0.987 ± 0.17
rand/("SequentialSamplingModels.DDM", 100)	29.9 ± 1.4 μs	30 ± 1.5 μs	0.998 ± 0.07
rand/("SequentialSamplingModels.LBA", 10)	1.72 ± 0.088 μs	1.68 ± 0.07 μs	1.02 ± 0.068
rand/("SequentialSamplingModels.LBA", 100)	12.2 ± 0.51 μs	12.3 ± 1.1 μs	0.994 ± 0.1
rand/("SequentialSamplingModels.LCA", 10)	0.555 ± 0.17 ms	0.562 ± 0.18 ms	0.988 ± 0.44
rand/("SequentialSamplingModels.LCA", 100)	6.03 ± 0.19 ms	6.11 ± 0.16 ms	0.988 ± 0.041
rand/("SequentialSamplingModels.LNR", 10)	1.16 ± 0.045 μs	1.17 ± 0.05 μs	0.991 ± 0.057
rand/("SequentialSamplingModels.LNR", 100)	6.67 ± 0.32 μs	7.63 ± 3.6 μs	0.874 ± 0.41
rand/("SequentialSamplingModels.RDM", 10)	1.25 ± 0.055 μs	1.25 ± 0.053 μs	0.996 ± 0.061
rand/("SequentialSamplingModels.RDM", 100)	10.2 ± 0.54 μs	10.2 ± 0.32 μs	1 ± 0.062
rand/("SequentialSamplingModels.Wald", 10)	1.42 ± 0.027 μs	1.42 ± 0.027 μs	0.996 ± 0.027
rand/("SequentialSamplingModels.Wald", 100)	12.6 ± 0.11 μs	12.6 ± 0.12 μs	0.994 ± 0.013
simulate/SequentialSamplingModels.DDM	4.25 ± 1.5 μs	2.12 ± 0.62 μs	2.01 ± 0.9
simulate/SequentialSamplingModels.LBA	5.35 ± 3.9 μs	5.7 ± 4.5 μs	0.939 ± 1
simulate/SequentialSamplingModels.LCA	0.0753 ± 0.015 ms	0.0763 ± 0.015 ms	0.988 ± 0.28
simulate/SequentialSamplingModels.RDM	0.0622 ± 0.025 ms	0.0621 ± 0.022 ms	1 ± 0.53
simulate/SequentialSamplingModels.Wald	2.23 ± 0.57 μs	2.25 ± 0.63 μs	0.993 ± 0.38
simulate/mdft	0.159 ± 0.061 ms	0.164 ± 0.062 ms	0.97 ± 0.52
time_to_load	1.21 ± 0.0082 s	1.22 ± 0.0029 s	0.99 ± 0.0071

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).