Add AirspeedVelocity benchmarking CI

.github/workflows/benchmark.yml

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+name: Benchmark this PR
+
+on:
+  pull_request:
+    branches: [main]
+    paths-ignore: ['docs/**']
+
+permissions:
+  pull-requests: write
+  contents: read
+
+jobs:
+  benchmark:
+    runs-on: ubuntu-latest
+    timeout-minutes: 60
+    strategy:
+      fail-fast: false
+      matrix:
+        version: ["1", "lts"]
+    env:
+      # Force consistent Julia depot path for self-hosted runners
+      JULIA_DEPOT_PATH: ~/.julia
+    steps:
+      - uses: MilesCranmer/AirspeedVelocity.jl@action-v1
+        with:
+          julia-version: ${{ matrix.version }}
+          script: "benchmark/benchmarks.jl"
+          extra-pkgs: "DifferentialEquations,Distributions,ModelingToolkit"
+          job-summary: true

benchmark/benchmarks.jl

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+using EasyModelAnalysis, BenchmarkTools
+using DifferentialEquations, Distributions, ModelingToolkit
+using ModelingToolkit: t_nounits as t, D_nounits as D
+
+const SUITE = BenchmarkGroup()
+
+@parameters σ ρ β
+@variables x(t) y(t) z(t)
+
+eqs = [
+    D(D(x)) ~ σ * (y - x),
+    D(y) ~ x * (ρ - z) - y,
+    D(z) ~ x * y - β * z,
+]
+
+@mtkbuild sys = ODESystem(eqs, t)
+
+u0 = [D(x) => 2.0, x => 1.0, y => 0.0, z => 0.0]
+p = [σ => 28.0, ρ => 10.0, β => 8 / 3]
+tspan = (0.0, 50.0)
+prob = ODEProblem(sys, u0, tspan, p; jac = true)
+sol = solve(prob)
+
+t_measure = [0.0, 1.0, 2.0, 5.0, 10.0]
+
+# =============================================================================
+# Timeseries extraction and extremes
+# =============================================================================
+
+SUITE["timeseries"] = BenchmarkGroup()
+
+SUITE["timeseries"]["get_timeseries"] = @benchmarkable get_timeseries(
+    $prob, $x, $t_measure
+)
+SUITE["timeseries"]["get_min_t"] = @benchmarkable get_min_t($prob, $x)
+SUITE["timeseries"]["get_max_t"] = @benchmarkable get_max_t($prob, $x)
+SUITE["timeseries"]["stop_at_threshold"] = @benchmarkable stop_at_threshold(
+    $prob, $x, 5.0
+)
+
+# =============================================================================
+# Sensitivity analysis (Morris over parameter bounds)
+# =============================================================================
+
+SUITE["sensitivity"] = BenchmarkGroup()
+
+pbounds = [ρ => [0.0, 20.0], β => [0.0, 10.0]]
+SUITE["sensitivity"]["morris"] = @benchmarkable EasyModelAnalysis.get_sensitivity(
+    $prob, 40.0, $y, $pbounds; samples = 100
+)