CompatHelper: bump compat for Turing in [weakdeps] to 0.36, (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 to 0.29.0,0.30.0,0.31.0,0.32,0.33,0.34.0,0.35.0, 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.

[github-actions]

Benchmark Results

	master	9fb93ee...	master/9fb93ee091240c...
logpdf/("SequentialSamplingModels.DDM", 10)	1.68 ± 0.18 μs	1.69 ± 0.18 μs	0.998
logpdf/("SequentialSamplingModels.DDM", 100)	17.3 ± 0.99 μs	17.2 ± 0.78 μs	1
logpdf/("SequentialSamplingModels.LBA", 10)	2.46 ± 0.21 μs	2.46 ± 0.2 μs	0.999
logpdf/("SequentialSamplingModels.LBA", 100)	24 ± 0.69 μs	23.9 ± 0.69 μs	1
logpdf/("SequentialSamplingModels.LNR", 10)	0.969 ± 0.17 μs	0.974 ± 0.17 μs	0.994
logpdf/("SequentialSamplingModels.LNR", 100)	8.46 ± 0.31 μs	8.5 ± 0.32 μs	0.996
logpdf/("SequentialSamplingModels.RDM", 10)	2.64 ± 0.25 μs	2.64 ± 0.24 μs	1
logpdf/("SequentialSamplingModels.RDM", 100)	25.3 ± 0.84 μs	25.3 ± 0.81 μs	1
logpdf/("SequentialSamplingModels.Wald", 10)	0.235 ± 0.18 μs	0.238 ± 0.17 μs	0.987
logpdf/("SequentialSamplingModels.Wald", 100)	2.05 ± 0.072 μs	2.09 ± 0.055 μs	0.981
logpdf/("SequentialSamplingModels.WaldMixture", 10)	1.12 ± 0.19 μs	1.12 ± 0.17 μs	1
logpdf/("SequentialSamplingModels.WaldMixture", 100)	10.8 ± 0.18 μs	10.8 ± 0.18 μs	1
rand/("SequentialSamplingModels.DDM", 10)	2.91 ± 0.38 μs	2.89 ± 0.38 μs	1.01
rand/("SequentialSamplingModels.DDM", 100)	28 ± 1.3 μs	28 ± 1.3 μs	0.999
rand/("SequentialSamplingModels.LBA", 10)	3.09 ± 1.4 μs	3.06 ± 1.2 μs	1.01
rand/("SequentialSamplingModels.LBA", 100)	14.9 ± 0.67 μs	14.9 ± 0.85 μs	1
rand/("SequentialSamplingModels.LCA", 10)	0.593 ± 0.19 ms	0.603 ± 0.18 ms	0.983
rand/("SequentialSamplingModels.LCA", 100)	6.4 ± 0.23 ms	6.52 ± 0.25 ms	0.982
rand/("SequentialSamplingModels.LNR", 10)	1.03 ± 0.16 μs	1.02 ± 0.17 μs	1.01
rand/("SequentialSamplingModels.LNR", 100)	7.66 ± 3.9 μs	7.55 ± 3.8 μs	1.01
rand/("SequentialSamplingModels.RDM", 10)	1.37 ± 0.16 μs	1.37 ± 0.18 μs	0.999
rand/("SequentialSamplingModels.RDM", 100)	11.3 ± 3.9 μs	11.2 ± 3.9 μs	1.01
rand/("SequentialSamplingModels.Wald", 10)	0.471 ± 0.17 μs	0.466 ± 0.17 μs	1.01
rand/("SequentialSamplingModels.Wald", 100)	2.93 ± 0.23 μs	2.91 ± 0.22 μs	1.01
rand/("SequentialSamplingModels.WaldMixture", 10)	1.25 ± 0.17 μs	1.25 ± 0.16 μs	0.999
rand/("SequentialSamplingModels.WaldMixture", 100)	11.8 ± 0.22 μs	11.8 ± 0.22 μs	1
simulate/SequentialSamplingModels.DDM	3.88 ± 1.6 μs	3.93 ± 1.6 μs	0.986
simulate/SequentialSamplingModels.LBA	4.6 ± 4.4 μs	4.64 ± 4.5 μs	0.992
simulate/SequentialSamplingModels.LCA	0.0807 ± 0.015 ms	0.0797 ± 0.016 ms	1.01
simulate/SequentialSamplingModels.RDM	0.0749 ± 0.024 ms	0.0775 ± 0.024 ms	0.965
simulate/SequentialSamplingModels.Wald	8.91 ± 3.9 μs	9.02 ± 3.6 μs	0.987
simulate/SequentialSamplingModels.WaldMixture	4.07 ± 1.7 μs	4.07 ± 1.6 μs	1
simulate/mdft	0.179 ± 0.066 ms	0.176 ± 0.066 ms	1.02
time_to_load	1.51 ± 0.018 s	1.52 ± 0.018 s	0.997

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).