CompatHelper: bump compat for RecursiveArrayTools to 4, (keep existing compat)

[github-actions]

This pull request changes the compat entry for the RecursiveArrayTools package from 3.27.2 to 3.27.2, 4.
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.

Closes #292, closes #294, closes #295, closes #296, closes #297, closes #298, closes #299, closes #300, closes #301, closes #302, closes #303.

[github-actions]

Benchmark Results (Julia v1.10)

Time benchmarks

	main	fd21345...	main / fd21345...
bbm_1d/bbm_1d_basic.jl - rhs!:	14.1 ± 0.39 μs	14 ± 0.32 μs	1 ± 0.036
bbm_1d/bbm_1d_fourier.jl - rhs!:	0.53 ± 0.011 ms	0.529 ± 0.012 ms	1 ± 0.031
bbm_bbm_1d/bbm_bbm_1d_basic_reflecting.jl - rhs!:	0.0818 ± 0.0022 ms	0.0823 ± 0.0025 ms	0.994 ± 0.041
bbm_bbm_1d/bbm_bbm_1d_dg.jl - rhs!:	0.0341 ± 0.00073 ms	0.0342 ± 0.00061 ms	0.999 ± 0.028
bbm_bbm_1d/bbm_bbm_1d_relaxation.jl - rhs!:	27.6 ± 1 μs	27.9 ± 0.57 μs	0.99 ± 0.041
bbm_bbm_1d/bbm_bbm_1d_upwind_relaxation.jl - rhs!:	0.0493 ± 0.0019 ms	0.0498 ± 0.00079 ms	0.992 ± 0.04
hyperbolic_serre_green_naghdi_1d/hyperbolic_serre_green_naghdi_dingemans.jl - rhs!:	4.17 ± 0.04 μs	4.12 ± 0.03 μs	1.01 ± 0.012
kdv_1d/kdv_1d_basic.jl - rhs!:	1.38 ± 0.021 μs	1.6 ± 0.02 μs	0.863 ± 0.017
kdv_1d/kdv_1d_implicit.jl - rhs!:	1.35 ± 0.011 μs	1.44 ± 0.011 μs	0.938 ± 0.01
serre_green_naghdi_1d/serre_green_naghdi_well_balanced.jl - rhs!:	0.208 ± 0.018 ms	0.214 ± 0.013 ms	0.972 ± 0.1
svaerd_kalisch_1d/svaerd_kalisch_1d_dingemans_relaxation.jl - rhs!:	0.149 ± 0.0069 ms	0.154 ± 0.0079 ms	0.965 ± 0.066
time_to_load	2.42 ± 0.016 s	2.27 ± 0.017 s	1.07 ± 0.011

Memory benchmarks

	main	fd21345...	main / fd21345...
bbm_1d/bbm_1d_basic.jl - rhs!:	1 allocs: 4.12 kB	1 allocs: 4.12 kB	1
bbm_1d/bbm_1d_fourier.jl - rhs!:	1 allocs: 4.12 kB	1 allocs: 4.12 kB	1
bbm_bbm_1d/bbm_bbm_1d_basic_reflecting.jl - rhs!:	5 allocs: 1.17 kB	5 allocs: 1.17 kB	1
bbm_bbm_1d/bbm_bbm_1d_dg.jl - rhs!:	10 allocs: 8.62 kB	10 allocs: 8.62 kB	1
bbm_bbm_1d/bbm_bbm_1d_relaxation.jl - rhs!:	2 allocs: 8.25 kB	2 allocs: 8.25 kB	1
bbm_bbm_1d/bbm_bbm_1d_upwind_relaxation.jl - rhs!:	2 allocs: 8.25 kB	2 allocs: 8.25 kB	1
hyperbolic_serre_green_naghdi_1d/hyperbolic_serre_green_naghdi_dingemans.jl - rhs!:	0 allocs: 0 B	0 allocs: 0 B
kdv_1d/kdv_1d_basic.jl - rhs!:	0 allocs: 0 B	0 allocs: 0 B
kdv_1d/kdv_1d_implicit.jl - rhs!:	0 allocs: 0 B	0 allocs: 0 B
serre_green_naghdi_1d/serre_green_naghdi_well_balanced.jl - rhs!:	0.075 k allocs: 0.66 MB	0.075 k allocs: 0.66 MB	1
svaerd_kalisch_1d/svaerd_kalisch_1d_dingemans_relaxation.jl - rhs!:	0.042 k allocs: 0.315 MB	0.042 k allocs: 0.315 MB	1
time_to_load	0.153 k allocs: 14.5 kB	0.153 k allocs: 14.5 kB	1

[codecov-commenter]

Codecov Report

❌ Patch coverage is 50.00000% with 1 line in your changes missing coverage. Please review.

Files with missing lines	Patch %	Lines
src/callbacks_step/summary.jl	0.00%	1 Missing ⚠️

📢 Thoughts on this report? Let us know!

[coveralls]

Coverage Report for CI Build 25158120313

Coverage remained the same at 98.483%

Details

• Coverage remained the same as the base build.
• Patch coverage: 1 uncovered change across 1 file (1 of 2 lines covered, 50.0%).
• No coverage regressions found.

Uncovered Changes

File	Changed	Covered	%
src/callbacks_step/summary.jl	1	0	0.0%

Coverage Regressions

No coverage regressions found.

---

Coverage Stats

Relevant Lines:	2571
Covered Lines:	2532
Line Coverage:	98.48%
Coverage Strength:	8183355.7 hits per line

---

💛 - Coveralls

[ranocha]

It still uses the old version in CI: https://github.com/NumericalMathematics/DispersiveShallowWater.jl/actions/runs/23974323780/job/69928886531?pr=291#step:7:182

[JoshuaLampert]

Looks good! The warnings like

┌ Warning: Runtime invalidation was disabled, but the CPU info is out-of-date.
│ Will continue with incorrect CPU name (from build time).
└ @ HostCPUFeatures ~/.julia/packages/HostCPUFeatures/ZTXz4/src/cpu_info.jl:71

were also already present in the last CI run on main: https://github.com/NumericalMathematics/DispersiveShallowWater.jl/actions/runs/24400348279/job/71268950948#step:7:460.

[JoshuaLampert]

@ranocha, you already use dependabot for the julia compat updates in SummationByPartsOperators.jl, don't you? It supports grouping compat PRs right? This makes these kind of compat updates, which depend on each other, easier to handle. Did you make good experiences with dependabot for julia compat PR? Do you think it's time to switch from CompatHelper to dependabot (dependabot for julia is out of beta state already).