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chore: Bump actions/setup-node from 5 to 6#255

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chore: Bump actions/setup-node from 5 to 6#255
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dependabot/github_actions/actions/setup-node-6

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@dependabot dependabot Bot commented on behalf of github May 4, 2026

Bumps actions/setup-node from 5 to 6.

Release notes

Sourced from actions/setup-node's releases.

v6.0.0

What's Changed

Breaking Changes

Dependency Upgrades

Full Changelog: actions/setup-node@v5...v6.0.0

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Bumps [actions/setup-node](https://github.com/actions/setup-node) from 5 to 6.
- [Release notes](https://github.com/actions/setup-node/releases)
- [Commits](actions/setup-node@v5...v6)

---
updated-dependencies:
- dependency-name: actions/setup-node
  dependency-version: '6'
  dependency-type: direct:production
  update-type: version-update:semver-major
...

Signed-off-by: dependabot[bot] <support@github.com>
@dependabot dependabot Bot added dependencies Pull requests that update a dependency file github_actions Pull requests that update GitHub Actions code labels May 4, 2026
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🐰 Bencher Report

Branchdependabot/github_actions/actions/setup-node-6
Testbedmhovd-pgx

🚨 12 Alerts

BenchmarkMeasure
Units
ViewBenchmark Result
(Result Δ%)
Upper Boundary
(Limit %)
Conditional dose modificationLatency
microseconds (µs)
📈 plot
🚷 threshold
🚨 alert (🔔)
2.89 µs
(+130.28%)Baseline: 1.25 µs
1.92 µs
(150.58%)

Create large dataset (100 subjects)Latency
microseconds (µs)
📈 plot
🚷 threshold
🚨 alert (🔔)
92.16 µs
(+65.15%)Baseline: 55.80 µs
70.66 µs
(130.43%)

Data expand complex (1h intervals)Latency
microseconds (µs)
📈 plot
🚷 threshold
🚨 alert (🔔)
84.58 µs
(+186.88%)Baseline: 29.48 µs
52.10 µs
(162.34%)

Data expand simple (1h intervals)Latency
nanoseconds (ns)
📈 plot
🚷 threshold
🚨 alert (🔔)
1,256.00 ns
(+148.18%)Baseline: 506.08 ns
732.65 ns
(171.43%)

Data expand with additional timeLatency
microseconds (µs)
📈 plot
🚷 threshold
🚨 alert (🔔)
119.05 µs
(+190.54%)Baseline: 40.98 µs
73.11 µs
(162.85%)

Filter exclude subjectsLatency
microseconds (µs)
📈 plot
🚷 threshold
🚨 alert (🔔)
41.92 µs
(+35.11%)Baseline: 31.03 µs
34.84 µs
(120.34%)

Filter include subjectsLatency
microseconds (µs)
📈 plot
🚷 threshold
🚨 alert (🔔)
9.85 µs
(+23.26%)Baseline: 8.00 µs
8.84 µs
(111.47%)

Modify all bolus dosesLatency
microseconds (µs)
📈 plot
🚷 threshold
🚨 alert (🔔)
2.82 µs
(+131.01%)Baseline: 1.22 µs
1.89 µs
(148.77%)

Modify all infusion dosesLatency
microseconds (µs)
📈 plot
🚷 threshold
🚨 alert (🔔)
2.90 µs
(+131.50%)Baseline: 1.25 µs
1.92 µs
(150.62%)

SubjectBuilder multi-occasionLatency
nanoseconds (ns)
📈 plot
🚷 threshold
🚨 alert (🔔)
524.82 ns
(+93.13%)Baseline: 271.74 ns
376.28 ns
(139.48%)

SubjectBuilder simpleLatency
nanoseconds (ns)
📈 plot
🚷 threshold
🚨 alert (🔔)
204.36 ns
(+90.98%)Baseline: 107.01 ns
146.18 ns
(139.80%)

SubjectBuilder with covariatesLatency
nanoseconds (ns)
📈 plot
🚷 threshold
🚨 alert (🔔)
507.35 ns
(+78.86%)Baseline: 283.66 ns
378.25 ns
(134.13%)

Click to view all benchmark results
BenchmarkLatencyBenchmark Result
nanoseconds (ns)
(Result Δ%)
Upper Boundary
nanoseconds (ns)
(Limit %)
Conditional dose modification📈 view plot
🚷 view threshold
🚨 view alert (🔔)
2,888.80 ns
(+130.28%)Baseline: 1,254.47 ns
1,918.48 ns
(150.58%)

Create large dataset (100 subjects)📈 view plot
🚷 view threshold
🚨 view alert (🔔)
92,155.00 ns
(+65.15%)Baseline: 55,800.34 ns
70,655.31 ns
(130.43%)

Data expand complex (1h intervals)📈 view plot
🚷 view threshold
🚨 view alert (🔔)
84,579.00 ns
(+186.88%)Baseline: 29,482.47 ns
52,099.56 ns
(162.34%)

Data expand simple (1h intervals)📈 view plot
🚷 view threshold
🚨 view alert (🔔)
1,256.00 ns
(+148.18%)Baseline: 506.08 ns
732.65 ns
(171.43%)

Data expand with additional time📈 view plot
🚷 view threshold
🚨 view alert (🔔)
119,050.00 ns
(+190.54%)Baseline: 40,976.11 ns
73,105.89 ns
(162.85%)

Filter exclude subjects📈 view plot
🚷 view threshold
🚨 view alert (🔔)
41,920.00 ns
(+35.11%)Baseline: 31,027.21 ns
34,835.38 ns
(120.34%)

Filter include subjects📈 view plot
🚷 view threshold
🚨 view alert (🔔)
9,854.90 ns
(+23.26%)Baseline: 7,995.48 ns
8,840.85 ns
(111.47%)

Modify all bolus doses📈 view plot
🚷 view threshold
🚨 view alert (🔔)
2,819.00 ns
(+131.01%)Baseline: 1,220.29 ns
1,894.86 ns
(148.77%)

Modify all infusion doses📈 view plot
🚷 view threshold
🚨 view alert (🔔)
2,898.20 ns
(+131.50%)Baseline: 1,251.90 ns
1,924.15 ns
(150.62%)

SubjectBuilder multi-occasion📈 view plot
🚷 view threshold
🚨 view alert (🔔)
524.82 ns
(+93.13%)Baseline: 271.74 ns
376.28 ns
(139.48%)

SubjectBuilder simple📈 view plot
🚷 view threshold
🚨 view alert (🔔)
204.36 ns
(+90.98%)Baseline: 107.01 ns
146.18 ns
(139.80%)

SubjectBuilder with covariates📈 view plot
🚷 view threshold
🚨 view alert (🔔)
507.35 ns
(+78.86%)Baseline: 283.66 ns
378.25 ns
(134.13%)

likelihood/batch/cold/16📈 view plot
🚷 view threshold
112,530.00 ns
likelihood/batch/cold/256📈 view plot
🚷 view threshold
634,860.00 ns
likelihood/batch/cold/64📈 view plot
🚷 view threshold
249,990.00 ns
likelihood/batch/hot/16📈 view plot
🚷 view threshold
16,043.00 ns
likelihood/batch/hot/256📈 view plot
🚷 view threshold
139,350.00 ns
likelihood/batch/hot/64📈 view plot
🚷 view threshold
43,083.00 ns
likelihood/matrix/cold/16x32📈 view plot
🚷 view threshold
2,016,400.00 ns
likelihood/matrix/cold/64x128📈 view plot
🚷 view threshold
17,654,000.00 ns
likelihood/matrix/hot/16x32📈 view plot
🚷 view threshold
243,810.00 ns
likelihood/matrix/hot/64x128📈 view plot
🚷 view threshold
3,814,300.00 ns
nca_auc_cmax_metrics📈 view plot
🚷 view threshold
584.81 ns
(-0.34%)Baseline: 586.82 ns
615.21 ns
(95.06%)
nca_population/10📈 view plot
🚷 view threshold
44,556.00 ns
(-5.07%)Baseline: 46,934.05 ns
49,866.82 ns
(89.35%)
nca_population/100📈 view plot
🚷 view threshold
124,930.00 ns
(+1.91%)Baseline: 122,593.16 ns
127,755.57 ns
(97.79%)
nca_population/500📈 view plot
🚷 view threshold
351,940.00 ns
(-12.03%)Baseline: 400,061.58 ns
441,349.36 ns
(79.74%)
nca_single_subject📈 view plot
🚷 view threshold
1,000.00 ns
(-1.14%)Baseline: 1,011.58 ns
1,048.98 ns
(95.33%)
ode/runtime-breakdown/loglik-cold📈 view plot
🚷 view threshold
24,625.00 ns
ode/runtime-breakdown/loglik-hot📈 view plot
🚷 view threshold
378.07 ns
ode/runtime-breakdown/predict-cold📈 view plot
🚷 view threshold
23,200.00 ns
ode/runtime-breakdown/predict-hot📈 view plot
🚷 view threshold
239.83 ns
ode/runtime-breakdown/score-only📈 view plot
🚷 view threshold
89.54 ns
one_compartment📈 view plot
🚷 view threshold
29,890.00 ns
(+25.74%)Baseline: 23,770.50 ns
30,757.78 ns
(97.18%)
one_compartment_covariates📈 view plot
🚷 view threshold
45,017.00 ns
(+40.96%)Baseline: 31,936.47 ns
47,585.28 ns
(94.60%)
readme 20📈 view plot
🚷 view threshold
28,361.00 ns
(-91.20%)Baseline: 322,243.21 ns
444,805.19 ns
(6.38%)
two_compartment📈 view plot
🚷 view threshold
40,398.00 ns
(+48.50%)Baseline: 27,203.26 ns
42,897.93 ns
(94.17%)
🐰 View full continuous benchmarking report in Bencher

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