feat(SSA): simplify array_get on slice_insert by asterite · Pull Request #10295 · noir-lang/noir

asterite · 2025-10-27T14:22:03Z

Description

Problem

Resolves #10278

Summary

Alternative to #10279 with what's written in #10279 (comment)

Additional Context

Documentation

Check one:

No documentation needed.
Documentation included in this PR.
[For Experimental Features] Documentation to be submitted in a separate PR.

PR Checklist

I have tested the changes locally.
I have formatted the changes with Prettier and/or cargo fmt on default settings.

github-actions

⚠️ Performance Alert ⚠️

Possible performance regression was detected for benchmark 'ACVM Benchmarks'.
Benchmark result of this commit is worse than the previous benchmark result exceeding threshold 1.20.

Benchmark suite	Current: `0022fa7`	Previous: `52b341d`	Ratio
`perfectly_parallel_batch_inversion_opcodes`	`2794287` ns/iter (`± 1635`)	`2259833` ns/iter (`± 14138`)	`1.24`

This comment was automatically generated by workflow using github-action-benchmark.

CC: @TomAFrench

github-actions · 2025-10-27T14:27:05Z

Changes to Brillig bytecode sizes

Generated at commit: 8419bde49732845b160b437b9f6b4b9873f790da, compared to commit: b43153bd34f52ea835f6b7715bcf2c1f931a0fc8

🧾 Summary (10% most significant diffs)

Program	Brillig opcodes (+/-)	%
brillig_arrays_inliner_min	-40 ✅	-29.63%
brillig_arrays_inliner_max	-40 ✅	-35.40%
brillig_arrays_inliner_zero	-40 ✅	-35.40%

Full diff report 👇

Program	Brillig opcodes (+/-)	%
slices_inliner_min	2,176 (-4)	-0.18%
slices_inliner_max	1,669 (-16)	-0.95%
slices_inliner_zero	1,629 (-16)	-0.97%
slice_dynamic_insert_inliner_max	378 (-4)	-1.05%
slice_dynamic_insert_inliner_zero	378 (-4)	-1.05%
regression_capacity_tracker_inliner_max	212 (-3)	-1.40%
regression_capacity_tracker_inliner_min	212 (-3)	-1.40%
regression_capacity_tracker_inliner_zero	212 (-3)	-1.40%
array_to_slice_inliner_max	482 (-9)	-1.83%
slice_dynamic_insert_inliner_min	425 (-8)	-1.85%
slice_dynamic_index_inliner_min	2,102 (-48)	-2.23%
slice_dynamic_index_inliner_max	1,553 (-73)	-4.49%
slice_dynamic_index_inliner_zero	1,553 (-73)	-4.49%
brillig_arrays_inliner_min	95 (-40)	-29.63%
brillig_arrays_inliner_max	73 (-40)	-35.40%
brillig_arrays_inliner_zero	73 (-40)	-35.40%

github-actions · 2025-10-27T14:27:08Z

Changes to number of Brillig opcodes executed

Generated at commit: 8419bde49732845b160b437b9f6b4b9873f790da, compared to commit: b43153bd34f52ea835f6b7715bcf2c1f931a0fc8

🧾 Summary (10% most significant diffs)

Program	Brillig opcodes (+/-)	%
brillig_arrays_inliner_min	-57 ✅	-34.34%
brillig_arrays_inliner_max	-57 ✅	-41.30%
brillig_arrays_inliner_zero	-57 ✅	-41.30%

Full diff report 👇

Program	Brillig opcodes (+/-)	%
slices_inliner_min	3,797 (-2)	-0.05%
slice_dynamic_insert_inliner_max	951 (-2)	-0.21%
slice_dynamic_insert_inliner_zero	951 (-2)	-0.21%
regression_capacity_tracker_inliner_max	566 (-2)	-0.35%
regression_capacity_tracker_inliner_min	566 (-2)	-0.35%
regression_capacity_tracker_inliner_zero	566 (-2)	-0.35%
slices_inliner_zero	2,720 (-10)	-0.37%
slice_dynamic_insert_inliner_min	1,061 (-4)	-0.38%
slices_inliner_max	2,522 (-10)	-0.39%
slice_dynamic_index_inliner_min	4,541 (-26)	-0.57%
array_to_slice_inliner_max	942 (-6)	-0.63%
slice_dynamic_index_inliner_max	3,543 (-41)	-1.14%
slice_dynamic_index_inliner_zero	3,543 (-41)	-1.14%
brillig_arrays_inliner_min	109 (-57)	-34.34%
brillig_arrays_inliner_max	81 (-57)	-41.30%
brillig_arrays_inliner_zero	81 (-57)	-41.30%

github-actions · 2025-10-27T14:27:16Z

Changes to circuit sizes

Generated at commit: 8419bde49732845b160b437b9f6b4b9873f790da, compared to commit: b43153bd34f52ea835f6b7715bcf2c1f931a0fc8

🧾 Summary (10% most significant diffs)

Program	ACIR opcodes (+/-)	%	Circuit size (+/-)	%
regression_9329	-17 ✅	-45.95%	-14 ✅	-10.53%
slice_dynamic_insert	-33 ✅	-84.62%	-119 ✅	-66.48%

Full diff report 👇

Program	ACIR opcodes (+/-)	%	Circuit size (+/-)	%
conditional_1	2,618 (-12)	-0.46%	17,416 (0)	0.00%
regression_5252	23,283 (-1,008)	-4.15%	72,270 (-3,810)	-5.01%
array_if_cond_simple	32 (-8)	-20.00%	2,851 (-213)	-6.95%
regression_9329	20 (-17)	-45.95%	119 (-14)	-10.53%
slice_dynamic_insert	6 (-33)	-84.62%	60 (-119)	-66.48%

github-actions

⚠️ Performance Alert ⚠️

Possible performance regression was detected for benchmark 'Test Suite Duration'.
Benchmark result of this commit is worse than the previous benchmark result exceeding threshold 1.20.

Benchmark suite	Current: `f232806`	Previous: `b43153b`	Ratio
`test_report_zkpassport_noir-ecdsa_`	`3` s	`2` s	`1.50`

This comment was automatically generated by workflow using github-action-benchmark.

CC: @TomAFrench

github-actions

⚠️ Performance Alert ⚠️

Possible performance regression was detected for benchmark 'Execution Time'.
Benchmark result of this commit is worse than the previous benchmark result exceeding threshold 1.20.

Benchmark suite	Current: `957da15`	Previous: `b43153b`	Ratio
`rollup-block-root-first-empty-tx`	`0.004` s	`0.003` s	`1.33`

This comment was automatically generated by workflow using github-action-benchmark.

CC: @TomAFrench

…ameters

vezenovm

I do think these optimizations make sense. They are not super invasive so I would be ok with adding them (especially the parameter array change in try_optimize_array_get_from_previous_set).

vezenovm · 2025-10-27T17:25:56Z

compiler/noirc_evaluator/src/ssa/opt/slice_intrinsics_length.rs

+                if let Some(length) = context.dfg.get_numeric_constant(arguments[0]) {
+                    // For `slice_insert(length, ...)` we can replace the resulting length with length + 1
+                    let length = length + FieldElement::one();
+                    let new_slice_length = context.dfg.instruction_results(instruction_id)[0];
+                    Some((new_slice_length, length))
+                } else {
+                    None
+                }


Suggested change

if let Some(length) = context.dfg.get_numeric_constant(arguments[0]) {

// For `slice_insert(length, ...)` we can replace the resulting length with length + 1

let length = length + FieldElement::one();

let new_slice_length = context.dfg.instruction_results(instruction_id)[0];

Some((new_slice_length, length))

} else {

None

}

// For `slice_insert(length, ...)` we can replace the resulting length with length + 1

context.dfg.get_numeric_constant(arguments[0]).map(|length| {

let length = length + FieldElement::one();

let new_slice_length = context.dfg.instruction_results(instruction_id)[0];

(new_slice_length, length)

})

nit: option for reducing nesting

vezenovm · 2025-10-27T17:27:38Z

compiler/noirc_evaluator/src/ssa/opt/slice_intrinsics_length.rs

+                    None
+                }
+            } else if slice_remove.is_some_and(|op| target_func == &op) {
+                if let Some(length) = context.dfg.get_numeric_constant(arguments[0]) {


same as https://github.com/noir-lang/noir/pull/10295/files#r2466487398

vezenovm · 2025-10-27T17:27:51Z

compiler/noirc_evaluator/src/ssa/opt/slice_intrinsics_length.rs

+    ///
+    /// Note that this pass must be placed before loop unrolling to be useful.
+    #[tracing::instrument(level = "trace", skip(self))]
+    pub(crate) fn slice_instrinsics_length_optimization(mut self) -> Self {


Suggested change

pub(crate) fn slice_instrinsics_length_optimization(mut self) -> Self {

pub(crate) fn slice_intrinsics_length_optimization(mut self) -> Self {

vezenovm · 2025-10-27T17:33:14Z

compiler/noirc_evaluator/src/ssa/ir/dfg/simplify.rs

+        return SimplifyResult::None;
+    }
+
+    // slice_insert(length, slice, index, values...)


Do we need this still?

vezenovm · 2025-10-27T17:35:47Z

compiler/noirc_evaluator/src/ssa/opt/slice_intrinsics_length.rs

+        acir(inline) fn main f0 {
+          b0():
+            v0 = make_array [Field 2, Field 3] : [Field]
+            v1, v2 = call slice_insert(u32 2, v0, u32 1, Field 4) -> (u32, [Field])


Would be good to add a test for the negative case that when we have a dynamic value for the length but a constant array we do not do anything.

asterite · 2025-10-27T17:41:05Z

I do think these optimizations make sense. They are not super invasive so I would be ok with adding them (especially the parameter array change in try_optimize_array_get_from_previous_set).

Cool! I just read your comment, I kept pushing changes with more "slice intrinsics length" optimizations.

If it's fine with you, I think I'd prefer to split this PR into smaller PR, each with one of the proposed optimizations, just so that if there's an issue with just one of them it's easier to revert, etc.

Now I'm thinking optimizing array_get on slice_insert is good, but we can also optimize array_get on slice_remove, slice_push_back, etc., as long as we know the slice length at compile-time. Maybe this is just another variant not considered in try_optimize_array_set_from_previous_get (though the index needs to be adjusted accordingly).

I might also introduce a new SSA pass instead of changing as_slice_length because we recently audited it so I'd feel bad modifying it 😅 (though the pass is pretty simple...)

vezenovm · 2025-10-27T17:45:44Z

If it's fine with you, I think I'd prefer to split this PR into smaller PR, each with one of the proposed optimizations, just so that if there's an issue with just one of them it's easier to revert, etc.

Yeah I think that would be a good idea.

I might also introduce a new SSA pass instead of changing as_slice_length because we recently audited it so I'd feel bad modifying it 😅 (though the pass is pretty simple...)

Whatever you think is best here. As you said the actual as_slice opt logic is very minimal, but it does increase our audit scope so perhaps we should just contain it all in a single pass. Especially if we are able to later remove the as_slice_length opt if we remove the as_slice intrinsic as per #10279 (comment).

github-actions

ACVM Benchmarks

Details

Benchmark suite	Current: `0106d13`	Previous: `b43153b`	Ratio
`purely_sequential_opcodes`	`262673` ns/iter (`± 5426`)	`263529` ns/iter (`± 508`)	`1.00`
`perfectly_parallel_opcodes`	`231729` ns/iter (`± 6656`)	`233286` ns/iter (`± 2788`)	`0.99`
`perfectly_parallel_batch_inversion_opcodes`	`2796221` ns/iter (`± 1920`)	`2797292` ns/iter (`± 14705`)	`1.00`

This comment was automatically generated by workflow using github-action-benchmark.

github-actions

Test Suite Duration

Details

Benchmark suite	Current: `0106d13`	Previous: `b43153b`	Ratio
`test_report_AztecProtocol_aztec-packages_noir-projects_aztec-nr`	`121` s	`116` s	`1.04`
`test_report_AztecProtocol_aztec-packages_noir-projects_noir-contracts`	`131` s	`134` s	`0.98`
`test_report_AztecProtocol_aztec-packages_noir-projects_noir-protocol-circuits_crates_blob`	`254` s	`273` s	`0.93`
`test_report_AztecProtocol_aztec-packages_noir-projects_noir-protocol-circuits_crates_private-kernel-lib`	`242` s	`233` s	`1.04`
`test_report_AztecProtocol_aztec-packages_noir-projects_noir-protocol-circuits_crates_types`	`127` s	`126` s	`1.01`
`test_report_noir-lang_noir-bignum_`	`170` s	`152` s	`1.12`
`test_report_noir-lang_noir_bigcurve_`	`357` s	`378` s	`0.94`
`test_report_noir-lang_sha256_`	`14` s	`15` s	`0.93`
`test_report_noir-lang_sha512_`	`14` s	`14` s	`1`
`test_report_zkpassport_noir-ecdsa_`	`2` s	`2` s	`1`
`test_report_zkpassport_noir_rsa_`	`2` s	`2` s	`1`

This comment was automatically generated by workflow using github-action-benchmark.

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Execution Time

Details

Benchmark suite	Current: `0106d13`	Previous: `b43153b`	Ratio
`private-kernel-inner`	`0.011` s	`0.011` s	`1`
`private-kernel-reset`	`0.146` s	`0.147` s	`0.99`
`private-kernel-tail`	`0.009` s	`0.009` s	`1`
`rollup-block-root-first-empty-tx`	`0.003` s	`0.003` s	`1`
`rollup-block-root-single-tx`	`0.003` s	`0.003` s	`1`
`rollup-block-root`	`0.004` s	`0.004` s	`1`
`rollup-checkpoint-merge`	`0.003` s	`0.003` s	`1`
`rollup-checkpoint-root-single-block`	`10.9` s	`11.4` s	`0.96`
`rollup-checkpoint-root`	`10.9` s	`11.2` s	`0.97`
`rollup-root`	`0.004` s	`0.004` s	`1`
`rollup-tx-base-private`	`0.302` s	`0.297` s	`1.02`
`rollup-tx-base-public`	`0.234` s	`0.244` s	`0.96`
`rollup-tx-merge`	`0.002` s	`0.002` s	`1`
`semaphore-depth-10`	`0.008` s	`0.009` s	`0.89`
`sha512-100-bytes`	`0.054` s	`0.061` s	`0.89`

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Opcode count

Details

Benchmark suite	Current: `0106d13`	Previous: `b43153b`	Ratio
`private-kernel-inner`	`14544` opcodes	`14544` opcodes	`1`
`private-kernel-reset`	`70415` opcodes	`70415` opcodes	`1`
`private-kernel-tail`	`11680` opcodes	`11680` opcodes	`1`
`rollup-block-root-first-empty-tx`	`1348` opcodes	`1364` opcodes	`0.99`
`rollup-block-root-single-tx`	`1033` opcodes	`1048` opcodes	`0.99`
`rollup-block-root`	`2409` opcodes	`2409` opcodes	`1`
`rollup-checkpoint-merge`	`2130` opcodes	`2130` opcodes	`1`
`rollup-checkpoint-root-single-block`	`962003` opcodes	`962015` opcodes	`1.00`
`rollup-checkpoint-root`	`963375` opcodes	`963375` opcodes	`1`
`rollup-root`	`2630` opcodes	`2630` opcodes	`1`
`rollup-tx-base-private`	`263892` opcodes	`263908` opcodes	`1.00`
`rollup-tx-base-public`	`245168` opcodes	`245185` opcodes	`1.00`
`rollup-tx-merge`	`1486` opcodes	`1486` opcodes	`1`
`semaphore-depth-10`	`5699` opcodes	`5699` opcodes	`1`
`sha512-100-bytes`	`13173` opcodes	`13173` opcodes	`1`

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Compilation Time

Details

Benchmark suite	Current: `0106d13`	Previous: `b43153b`	Ratio
`private-kernel-inner`	`1.748` s	`1.812` s	`0.96`
`private-kernel-reset`	`7.194` s	`7.378` s	`0.98`
`private-kernel-tail`	`1.39` s	`1.334` s	`1.04`
`rollup-block-root-first-empty-tx`	`1.364` s	`1.406` s	`0.97`
`rollup-block-root-single-tx`	`1.43` s	`1.46` s	`0.98`
`rollup-block-root`	`1.48` s	`1.47` s	`1.01`
`rollup-checkpoint-merge`	`1.452` s	`1.488` s	`0.98`
`rollup-checkpoint-root-single-block`	`214` s	`202` s	`1.06`
`rollup-checkpoint-root`	`193` s	`214` s	`0.90`
`rollup-root`	`1.52` s	`1.552` s	`0.98`
`rollup-tx-base-private`	`19.58` s	`18.98` s	`1.03`
`rollup-tx-base-public`	`81.24` s	`81.74` s	`0.99`
`rollup-tx-merge`	`1.352` s	`1.394` s	`0.97`
`semaphore-depth-10`	`0.784` s	`0.793` s	`0.99`
`sha512-100-bytes`	`1.61` s	`2.008` s	`0.80`

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Artifact Size

Details

Benchmark suite	Current: `0106d13`	Previous: `b43153b`	Ratio
`private-kernel-inner`	`714.3` KB	`714.3` KB	`1`
`private-kernel-reset`	`1864` KB	`1864` KB	`1`
`private-kernel-tail`	`546.2` KB	`546.2` KB	`1`
`rollup-block-root-first-empty-tx`	`179.2` KB	`179.6` KB	`1.00`
`rollup-block-root-single-tx`	`177.6` KB	`177.9` KB	`1.00`
`rollup-block-root`	`257.9` KB	`257.9` KB	`1`
`rollup-checkpoint-merge`	`370.6` KB	`370.6` KB	`1`
`rollup-checkpoint-root-single-block`	`27638.6` KB	`27640.2` KB	`1.00`
`rollup-checkpoint-root`	`27685.9` KB	`27685.9` KB	`1`
`rollup-root`	`411.4` KB	`411.4` KB	`1`
`rollup-tx-base-private`	`4906.5` KB	`4909.3` KB	`1.00`
`rollup-tx-base-public`	`4554.4` KB	`4555.4` KB	`1.00`
`rollup-tx-merge`	`186.1` KB	`186.1` KB	`1`
`semaphore-depth-10`	`570.9` KB	`570.9` KB	`1`
`sha512-100-bytes`	`506.3` KB	`506.3` KB	`1`

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Compilation Memory

Details

Benchmark suite	Current: `0106d13`	Previous: `b43153b`	Ratio
`private-kernel-inner`	`254.47` MB	`254.47` MB	`1`
`private-kernel-reset`	`493.18` MB	`493.18` MB	`1`
`private-kernel-tail`	`244.63` MB	`244.63` MB	`1`
`rollup-block-root-first-empty-tx`	`339.37` MB	`339.38` MB	`1.00`
`rollup-block-root-single-tx`	`337.41` MB	`337.41` MB	`1`
`rollup-block-root`	`340.43` MB	`340.43` MB	`1`
`rollup-checkpoint-merge`	`339.76` MB	`339.76` MB	`1`
`rollup-checkpoint-root-single-block`	`5910` MB	`5910` MB	`1`
`rollup-checkpoint-root`	`5920` MB	`5920` MB	`1`
`rollup-root`	`341.31` MB	`341.31` MB	`1`
`rollup-tx-base-private`	`1070` MB	`1070` MB	`1`
`rollup-tx-base-public`	`2890` MB	`2890` MB	`1`
`rollup-tx-merge`	`336.59` MB	`336.59` MB	`1`
`semaphore_depth_10`	`92.18` MB	`92.18` MB	`1`
`sha512_100_bytes`	`185.48` MB	`185.48` MB	`1`

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Execution Memory

Details

Benchmark suite	Current: `0106d13`	Previous: `b43153b`	Ratio
`private-kernel-inner`	`253.63` MB	`253.63` MB	`1`
`private-kernel-reset`	`287.24` MB	`287.24` MB	`1`
`private-kernel-tail`	`243.5` MB	`243.5` MB	`1`
`rollup-block-root`	`337.87` MB	`337.87` MB	`1`
`rollup-checkpoint-merge`	`336.67` MB	`336.67` MB	`1`
`rollup-checkpoint-root-single-block`	`1020` MB	`1020` MB	`1`
`rollup-checkpoint-root`	`1020` MB	`1020` MB	`1`
`rollup-root`	`337.87` MB	`337.87` MB	`1`
`rollup-tx-base-private`	`451.41` MB	`451.42` MB	`1.00`
`rollup-tx-base-public`	`466.49` MB	`466.49` MB	`1`
`rollup-tx-merge`	`336.13` MB	`336.13` MB	`1`
`semaphore_depth_10`	`73.7` MB	`73.7` MB	`1`
`sha512_100_bytes`	`71.96` MB	`71.96` MB	`1`

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asterite · 2025-10-27T18:39:31Z

Closing in favor of #10300 and other upcoming PRs.

feat(SSA): simplify array_get on slice_insert

0022fa7

github-actions bot reviewed Oct 27, 2025

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Fix

c97f43d

github-actions bot reviewed Oct 27, 2025

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asterite added 5 commits October 27, 2025 11:57

Optimize array_get from previous array_set by taking into account par…

4db2baa

…ameters

Snapshots

7d69138

Optimize slice_insert length

8c64155

Optimize slice_remove length

830c475

Only get from array param if the index is known

f5f03fd

asterite mentioned this pull request Oct 27, 2025

feat(SSA): always simplify AsSlice intrinsic in ACIR functions #10279

Open

5 tasks

asterite added 6 commits October 27, 2025 13:45

Fixes

f232806

Optimize slice_push_front length

2a95657

Optimize slice_push_back length

c017483

Optimize slice_pop_back length

bcbcad4

Optimize slice_pop_front length

3619fe9

Run pass again

957da15

vezenovm approved these changes Oct 27, 2025

View reviewed changes

asterite added the bench-show Display benchmark results on PR label Oct 27, 2025

Merge branch 'master' into ab/simplify-array-get-on-slice-insert

0106d13

github-actions bot reviewed Oct 27, 2025

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asterite mentioned this pull request Oct 27, 2025

feat(SSA): simplify array_get from param #10300

Merged

5 tasks

asterite closed this Oct 27, 2025

asterite deleted the ab/simplify-array-get-on-slice-insert branch October 27, 2025 18:39

	pub(crate) fn slice_instrinsics_length_optimization(mut self) -> Self {
	pub(crate) fn slice_intrinsics_length_optimization(mut self) -> Self {

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asterite commented Oct 27, 2025

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Changes to Brillig bytecode sizes

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Changes to number of Brillig opcodes executed

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Changes to circuit sizes

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⚠️ Performance Alert ⚠️

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⚠️ Performance Alert ⚠️

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vezenovm Oct 27, 2025

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vezenovm Oct 27, 2025

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asterite commented Oct 27, 2025

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vezenovm commented Oct 27, 2025

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ACVM Benchmarks

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Test Suite Duration

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Execution Time

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Opcode count

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Compilation Time

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github-actions bot commented Oct 27, 2025 •

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