CompatHelper: bump compat for Turing in [weakdeps] to 0.37, (keep existing compat)

[github-actions]

This pull request changes the compat entry for the Turing package from 0.29.0,0.30.0,0.31.0,0.32,0.33,0.34.0,0.35.0,0.36.0 to 0.29.0,0.30.0,0.31.0,0.32,0.33,0.34.0,0.35.0,0.36.0, 0.37.
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	ca31dfb...	master / ca31dfb...
logpdf/("SequentialSamplingModels.DDM", 10)	1.65 ± 0.12 μs	1.65 ± 0.12 μs	1
logpdf/("SequentialSamplingModels.DDM", 100)	15.8 ± 0.74 μs	15.7 ± 0.76 μs	1.01
logpdf/("SequentialSamplingModels.LBA", 10)	2.93 ± 0.18 μs	2.93 ± 0.2 μs	1
logpdf/("SequentialSamplingModels.LBA", 100)	22.4 ± 0.79 μs	22.4 ± 0.72 μs	1
logpdf/("SequentialSamplingModels.LNR", 10)	1.69 ± 0.11 μs	1.68 ± 0.11 μs	1.01
logpdf/("SequentialSamplingModels.LNR", 100)	9.52 ± 0.36 μs	9.55 ± 0.37 μs	0.997
logpdf/("SequentialSamplingModels.RDM", 10)	2.61 ± 0.2 μs	2.68 ± 0.22 μs	0.972
logpdf/("SequentialSamplingModels.RDM", 100)	23.7 ± 0.81 μs	24.4 ± 0.95 μs	0.974
logpdf/("SequentialSamplingModels.Wald", 10)	0.453 ± 0.01 μs	0.456 ± 0.0091 μs	0.993
logpdf/("SequentialSamplingModels.Wald", 100)	2.66 ± 0.17 μs	2.65 ± 0.17 μs	1
logpdf/("SequentialSamplingModels.WaldMixture", 10)	1.3 ± 0.014 μs	1.32 ± 0.016 μs	0.985
logpdf/("SequentialSamplingModels.WaldMixture", 100)	11 ± 0.18 μs	11.1 ± 0.18 μs	0.998
rand/("SequentialSamplingModels.DDM", 10)	3.18 ± 0.41 μs	3.17 ± 0.41 μs	1
rand/("SequentialSamplingModels.DDM", 100)	30.3 ± 1.5 μs	30.4 ± 1.5 μs	0.996
rand/("SequentialSamplingModels.LBA", 10)	1.68 ± 0.049 μs	1.68 ± 0.047 μs	1
rand/("SequentialSamplingModels.LBA", 100)	11.3 ± 0.29 μs	11.5 ± 0.27 μs	0.983
rand/("SequentialSamplingModels.LCA", 10)	0.534 ± 0.13 ms	0.5 ± 0.13 ms	1.07
rand/("SequentialSamplingModels.LCA", 100)	5.64 ± 0.15 ms	5.32 ± 0.15 ms	1.06
rand/("SequentialSamplingModels.LNR", 10)	1.14 ± 0.031 μs	1.14 ± 0.036 μs	1
rand/("SequentialSamplingModels.LNR", 100)	6.24 ± 2.8 μs	6.22 ± 2.7 μs	1
rand/("SequentialSamplingModels.RDM", 10)	1.15 ± 0.037 μs	1.19 ± 0.045 μs	0.966
rand/("SequentialSamplingModels.RDM", 100)	9.25 ± 0.33 μs	9.51 ± 0.26 μs	0.973
rand/("SequentialSamplingModels.Wald", 10)	0.447 ± 0.025 μs	0.424 ± 0.024 μs	1.05
rand/("SequentialSamplingModels.Wald", 100)	2.21 ± 0.073 μs	2.17 ± 0.072 μs	1.02
rand/("SequentialSamplingModels.WaldMixture", 10)	1.39 ± 0.026 μs	1.37 ± 0.025 μs	1.01
rand/("SequentialSamplingModels.WaldMixture", 100)	11.9 ± 0.11 μs	11.9 ± 0.11 μs	0.999
simulate/SequentialSamplingModels.DDM	2.02 ± 0.57 μs	1.98 ± 0.52 μs	1.02
simulate/SequentialSamplingModels.LBA	4.82 ± 0.91 μs	4.95 ± 1.3 μs	0.973
simulate/SequentialSamplingModels.LCA	0.0686 ± 0.013 ms	0.0697 ± 0.014 ms	0.984
simulate/SequentialSamplingModels.RDM	0.0887 ± 0.029 ms	0.0914 ± 0.029 ms	0.971
simulate/SequentialSamplingModels.Wald	4.67 ± 2.2 μs	4.72 ± 2.3 μs	0.991
simulate/SequentialSamplingModels.WaldMixture	2.11 ± 0.54 μs	2.03 ± 0.54 μs	1.04
simulate/mdft	0.159 ± 0.057 ms	0.157 ± 0.055 ms	1.01
time_to_load	0.89 ± 0.0051 s	0.888 ± 0.0042 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).