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Revert "Add Elixir for Measurements.jl" #2525

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Merged
merged 1 commit into from
Aug 19, 2025
Merged

Revert "Add Elixir for Measurements.jl" #2525

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31 changes: 0 additions & 31 deletions examples/tree_1d_dgsem/elixir_advection_uncertainty.jl
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2 changes: 0 additions & 2 deletions test/Project.toml
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Original file line number Diff line number Diff line change
Expand Up @@ -12,7 +12,6 @@ ECOS = "e2685f51-7e38-5353-a97d-a921fd2c8199"
ExplicitImports = "7d51a73a-1435-4ff3-83d9-f097790105c7"
ForwardDiff = "f6369f11-7733-5829-9624-2563aa707210"
LinearAlgebra = "37e2e46d-f89d-539d-b4ee-838fcccc9c8e"
Measurements = "eff96d63-e80a-5855-80a2-b1b0885c5ab7"
MPI = "da04e1cc-30fd-572f-bb4f-1f8673147195"
NLsolve = "2774e3e8-f4cf-5e23-947b-6d7e65073b56"
OrdinaryDiffEqFeagin = "101fe9f7-ebb6-4678-b671-3a81e7194747"
Expand Down Expand Up @@ -44,7 +43,6 @@ ECOS = "1.1.2"
ExplicitImports = "1.0.1"
ForwardDiff = "0.10.36, 1"
LinearAlgebra = "1"
Measurements = "2.14.0"
MPI = "0.20.6"
NLsolve = "4.5.1"
OrdinaryDiffEqFeagin = "1"
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17 changes: 0 additions & 17 deletions test/test_tree_1d_advection.jl
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Expand Up @@ -169,23 +169,6 @@ end
@test (@allocated Trixi.rhs!(du_ode, u_ode, semi, t)) < 1000
end
end

@trixi_testset "elixir_advection_uncertainty.jl" begin
# Run this first to collect LoopVectorization warnings before error-check run
@test_nowarn_mod trixi_include(joinpath(examples_dir(), "tree_1d_dgsem",
"elixir_advection_uncertainty.jl"))

@test_trixi_include(joinpath(EXAMPLES_DIR, "elixir_advection_uncertainty.jl"),
l2=[0.0012576893000440965 ± 0.017581020765034417],
linf=[0.004425204509676317 ± 0.0633672486044246])
# Using Measurements.jl actually allocates quite significantly
let
t = sol.t[end]
u_ode = sol.u[end]
du_ode = similar(u_ode)
@test (@allocated Trixi.rhs!(du_ode, u_ode, semi, t)) < 100_000
end
end
end

end # module
2 changes: 1 addition & 1 deletion test/test_trixi.jl
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Expand Up @@ -120,7 +120,7 @@ macro test_nowarn_mod(expr, additional_ignore_content = [])
# Warnings from third party packages
r"┌ Warning: Problem status ALMOST_INFEASIBLE; solution may be inaccurate.\n└ @ Convex ~/.julia/packages/Convex/.*\n",
r"┌ Warning: Problem status ALMOST_OPTIMAL; solution may be inaccurate.\n└ @ Convex ~/.julia/packages/Convex/.*\n",
# Warnings for higher-precision floating data types or Measurements.jl
# Warnings for higher-precision floating data types
r"┌ Warning: #= /home/runner/work/Trixi.jl/Trixi.jl/src/solvers/dgsem/interpolation.jl:118 =#:\n│ `LoopVectorization.check_args` on your inputs failed; running fallback `@inbounds @fastmath` loop instead.\n│ Use `warn_check_args=false`, e.g. `@turbo warn_check_args=false ...`, to disable this warning.\n└ @ Trixi ~/.julia/packages/LoopVectorization/.*\n",
r"┌ Warning: #= /home/runner/work/Trixi.jl/Trixi.jl/src/solvers/dgsem/interpolation.jl:136 =#:\n│ `LoopVectorization.check_args` on your inputs failed; running fallback `@inbounds @fastmath` loop instead.\n│ Use `warn_check_args=false`, e.g. `@turbo warn_check_args=false ...`, to disable this warning.\n└ @ Trixi ~/.julia/packages/LoopVectorization/.*\n"
]
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