BE-231: Add InstSimplify pass for MIR instruction simplification and constant folding #8206

indietyp · 2025-12-21T18:33:33Z

🌟 What is the purpose of this PR?

This PR adds a new MIR transformation pass called InstSimplify that performs algebraic simplifications and constant folding on MIR instructions. The pass optimizes code by replacing complex expressions with simpler equivalents when operands are constants or satisfy algebraic identities.

🔍 What does this change?

Adds a new InstSimplify pass that performs three categories of simplifications:
- Constant folding (e.g., const 2 + const 3 → const 5)
- Algebraic identities (e.g., x && true → x, x == true → x)
- Identical operand patterns (e.g., x & x → x, x == x → true)
Implements block parameter propagation to enable constant propagation across block boundaries
Adds comprehensive test suite with unit tests and integration tests
Integrates the pass into the MIR compilation pipeline
Adds support for TryCloneIn for IdVec to enable efficient cloning

Pre-Merge Checklist 🚀

🚢 Has this modified a publishable library?

This PR:

does not modify any publishable blocks or libraries, or modifications do not need publishing

📜 Does this require a change to the docs?

The changes in this PR:

are internal and do not require a docs change

🕸️ Does this require a change to the Turbo Graph?

The changes in this PR:

do not affect the execution graph

🛡 What tests cover this?

Unit tests for each simplification pattern
Integration tests for the pass as a whole
Tests for block parameter propagation and constant forwarding

cursor · 2025-12-21T18:33:39Z

PR Summary

Adds a new MIR transform pass, InstSimplify, that performs constant folding, algebraic identities, and identical-operand simplifications with block-parameter constant propagation.

Integrates InstSimplify into compiletest and pipeline order: CFG -> SROA -> Inst -> DSE; adds suite mir/pass/transform/inst-simplify with text/D2 outputs
Updates benchmarks: new inst_simplify group and includes pass in pipeline benches; adjusts DSE expected output
Adds comprehensive UI/unit tests for simplification patterns and propagation
Small MIR/core infra tweaks: IdVec implements TryCloneIn; BasicBlocks::predecessors iterator now Clone; Place::type_id takes LocalSlice; TerminatorKind::is_effectful; DBE truncation invalidates CFG

^{Written by Cursor Bugbot for commit 08246f0. This will update automatically on new commits. Configure here.}

indietyp · 2025-12-21T18:33:52Z

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codecov · 2025-12-21T18:38:50Z

Codecov Report

❌ Patch coverage is 81.86620% with 103 lines in your changes missing coverage. Please review.
✅ Project coverage is 59.03%. Comparing base (3326b24) to head (08246f0).

Files with missing lines	Patch %	Lines
...hashql/mir/src/pass/transform/inst_simplify/mod.rs	64.20%	81 Missing and 16 partials ⚠️
libs/@local/hashql/core/src/id/vec.rs	0.00%	6 Missing ⚠️

Additional details and impacted files

@@                              Coverage Diff                              @@
##           bm/be-254-experiment-around-with-codspeed    #8206      +/-   ##
=============================================================================
+ Coverage                                      58.89%   59.03%   +0.13%     
=============================================================================
  Files                                           1193     1195       +2     
  Lines                                         112734   113298     +564     
  Branches                                        5013     5046      +33     
=============================================================================
+ Hits                                           66396    66880     +484     
- Misses                                         45580    45644      +64     
- Partials                                         758      774      +16

Flag	Coverage Δ
apps.hash-ai-worker-ts	`1.32% <ø> (ø)`
apps.hash-api	`0.00% <ø> (ø)`
local.hash-graph-sdk	`10.88% <ø> (ø)`
local.hash-isomorphic-utils	`0.00% <ø> (ø)`
rust.hash-graph-api	`2.89% <ø> (ø)`
rust.hashql-ast	`87.25% <ø> (ø)`
rust.hashql-compiletest	`46.65% <ø> (ø)`
rust.hashql-core	`82.30% <0.00%> (-0.03%)`	⬇️
rust.hashql-eval	`68.54% <ø> (ø)`
rust.hashql-hir	`89.10% <ø> (ø)`
rust.hashql-mir	`88.09% <82.74%> (-0.10%)`	⬇️
rust.hashql-syntax-jexpr	`94.05% <ø> (ø)`

Flags with carried forward coverage won't be shown. Click here to find out more.

☔ View full report in Codecov by Sentry.
📢 Have feedback on the report? Share it here.

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codspeed-hq · 2025-12-21T18:39:52Z

CodSpeed Performance Report

Merging #8206 will degrade performance by 11.29%

_{Comparing bm/be-231-hashql-peephole-optimization (08246f0) with bm/be-254-experiment-around-with-codspeed (e1cb237)¹}

Summary

❌ 2 (👁 2) regressions
✅ 11 untouched
🆕 4 new

Benchmarks breakdown

	Benchmark	`BASE`	`HEAD`	Efficiency
👁	`complex`	60.2 µs	67.7 µs	-10.99%
👁	`diamond`	44.1 µs	49.7 µs	-11.29%
🆕	`linear`	N/A	9.6 µs	N/A
🆕	`complex`	N/A	17.5 µs	N/A
🆕	`diamond`	N/A	11.7 µs	N/A
🆕	`foldable`	N/A	9.2 µs	N/A

No successful run was found on bm/be-254-experiment-around-with-codspeed (3326b24) during the generation of this report, so f24d7fe was used instead as the comparison base. There might be some changes unrelated to this pull request in this report. ↩

github-actions · 2025-12-21T22:41:45Z

Benchmark results

@rust/hash-graph-benches – Integrations

policy_resolution_large

Function	Value	Mean	Flame graphs
resolve_policies_for_actor	user: empty, selectivity: high, policies: 2002	$$26.8 \mathrm{ms} \pm 145 \mathrm{μs}\left({\color{lightgreen}-8.895 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: empty, selectivity: low, policies: 1	$$3.25 \mathrm{ms} \pm 16.9 \mathrm{μs}\left({\color{gray}-0.478 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: empty, selectivity: medium, policies: 1001	$$12.1 \mathrm{ms} \pm 77.2 \mathrm{μs}\left({\color{gray}-4.262 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: seeded, selectivity: high, policies: 3314	$$42.0 \mathrm{ms} \pm 269 \mathrm{μs}\left({\color{gray}-2.210 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: seeded, selectivity: low, policies: 1	$$13.9 \mathrm{ms} \pm 80.5 \mathrm{μs}\left({\color{gray}-3.739 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: seeded, selectivity: medium, policies: 1526	$$23.1 \mathrm{ms} \pm 140 \mathrm{μs}\left({\color{gray}-2.009 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: system, selectivity: high, policies: 2078	$$26.3 \mathrm{ms} \pm 182 \mathrm{μs}\left({\color{lightgreen}-38.608 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: system, selectivity: low, policies: 1	$$3.66 \mathrm{ms} \pm 15.5 \mathrm{μs}\left({\color{lightgreen}-81.933 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: system, selectivity: medium, policies: 1033	$$11.2 \mathrm{ms} \pm 71.0 \mathrm{μs}\left({\color{lightgreen}-63.206 \mathrm{\%}}\right) $$	Flame Graph

policy_resolution_medium

Function	Value	Mean	Flame graphs
resolve_policies_for_actor	user: empty, selectivity: high, policies: 102	$$3.63 \mathrm{ms} \pm 17.0 \mathrm{μs}\left({\color{gray}-1.000 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: empty, selectivity: low, policies: 1	$$2.87 \mathrm{ms} \pm 12.5 \mathrm{μs}\left({\color{gray}1.24 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: empty, selectivity: medium, policies: 51	$$3.17 \mathrm{ms} \pm 16.3 \mathrm{μs}\left({\color{gray}-1.631 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: seeded, selectivity: high, policies: 269	$$5.00 \mathrm{ms} \pm 22.5 \mathrm{μs}\left({\color{gray}-0.095 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: seeded, selectivity: low, policies: 1	$$3.42 \mathrm{ms} \pm 17.5 \mathrm{μs}\left({\color{gray}0.915 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: seeded, selectivity: medium, policies: 107	$$3.93 \mathrm{ms} \pm 20.7 \mathrm{μs}\left({\color{gray}0.010 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: system, selectivity: high, policies: 133	$$4.23 \mathrm{ms} \pm 15.6 \mathrm{μs}\left({\color{gray}-0.599 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: system, selectivity: low, policies: 1	$$3.31 \mathrm{ms} \pm 16.4 \mathrm{μs}\left({\color{gray}1.76 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: system, selectivity: medium, policies: 63	$$3.86 \mathrm{ms} \pm 20.4 \mathrm{μs}\left({\color{gray}-0.334 \mathrm{\%}}\right) $$	Flame Graph

policy_resolution_none

Function	Value	Mean	Flame graphs
resolve_policies_for_actor	user: empty, selectivity: high, policies: 2	$$2.56 \mathrm{ms} \pm 10.5 \mathrm{μs}\left({\color{red}7.71 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: empty, selectivity: low, policies: 1	$$2.49 \mathrm{ms} \pm 12.6 \mathrm{μs}\left({\color{red}6.53 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: empty, selectivity: medium, policies: 1	$$2.60 \mathrm{ms} \pm 12.3 \mathrm{μs}\left({\color{red}7.92 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: system, selectivity: high, policies: 8	$$2.76 \mathrm{ms} \pm 12.0 \mathrm{μs}\left({\color{gray}4.96 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: system, selectivity: low, policies: 1	$$2.67 \mathrm{ms} \pm 12.2 \mathrm{μs}\left({\color{red}5.14 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: system, selectivity: medium, policies: 3	$$2.88 \mathrm{ms} \pm 15.0 \mathrm{μs}\left({\color{red}6.92 \mathrm{\%}}\right) $$	Flame Graph

policy_resolution_small

Function	Value	Mean	Flame graphs
resolve_policies_for_actor	user: empty, selectivity: high, policies: 52	$$2.92 \mathrm{ms} \pm 14.0 \mathrm{μs}\left({\color{red}5.82 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: empty, selectivity: low, policies: 1	$$2.60 \mathrm{ms} \pm 9.39 \mathrm{μs}\left({\color{red}6.77 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: empty, selectivity: medium, policies: 25	$$2.77 \mathrm{ms} \pm 13.0 \mathrm{μs}\left({\color{red}6.18 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: seeded, selectivity: high, policies: 94	$$3.27 \mathrm{ms} \pm 18.5 \mathrm{μs}\left({\color{gray}4.19 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: seeded, selectivity: low, policies: 1	$$2.85 \mathrm{ms} \pm 12.7 \mathrm{μs}\left({\color{red}5.87 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: seeded, selectivity: medium, policies: 26	$$3.04 \mathrm{ms} \pm 14.8 \mathrm{μs}\left({\color{gray}4.46 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: system, selectivity: high, policies: 66	$$3.17 \mathrm{ms} \pm 13.0 \mathrm{μs}\left({\color{red}6.37 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: system, selectivity: low, policies: 1	$$2.81 \mathrm{ms} \pm 12.6 \mathrm{μs}\left({\color{red}5.91 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: system, selectivity: medium, policies: 29	$$3.05 \mathrm{ms} \pm 12.6 \mathrm{μs}\left({\color{red}5.45 \mathrm{\%}}\right) $$	Flame Graph

read_scaling_complete

Function	Value	Mean	Flame graphs
entity_by_id;one_depth	1 entities	$$38.5 \mathrm{ms} \pm 150 \mathrm{μs}\left({\color{gray}-1.121 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id;one_depth	10 entities	$$76.0 \mathrm{ms} \pm 379 \mathrm{μs}\left({\color{gray}-0.607 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id;one_depth	25 entities	$$44.3 \mathrm{ms} \pm 180 \mathrm{μs}\left({\color{gray}1.64 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id;one_depth	5 entities	$$46.1 \mathrm{ms} \pm 263 \mathrm{μs}\left({\color{gray}1.01 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id;one_depth	50 entities	$$54.4 \mathrm{ms} \pm 238 \mathrm{μs}\left({\color{gray}0.857 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id;two_depth	1 entities	$$40.5 \mathrm{ms} \pm 154 \mathrm{μs}\left({\color{gray}-0.831 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id;two_depth	10 entities	$$419 \mathrm{ms} \pm 767 \mathrm{μs}\left({\color{gray}0.547 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id;two_depth	25 entities	$$95.8 \mathrm{ms} \pm 360 \mathrm{μs}\left({\color{red}8.26 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id;two_depth	5 entities	$$85.6 \mathrm{ms} \pm 333 \mathrm{μs}\left({\color{gray}0.734 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id;two_depth	50 entities	$$284 \mathrm{ms} \pm 658 \mathrm{μs}\left({\color{lightgreen}-7.448 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id;zero_depth	1 entities	$$14.9 \mathrm{ms} \pm 74.6 \mathrm{μs}\left({\color{gray}1.19 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id;zero_depth	10 entities	$$15.0 \mathrm{ms} \pm 64.9 \mathrm{μs}\left({\color{gray}1.28 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id;zero_depth	25 entities	$$15.4 \mathrm{ms} \pm 65.1 \mathrm{μs}\left({\color{gray}2.05 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id;zero_depth	5 entities	$$14.9 \mathrm{ms} \pm 71.1 \mathrm{μs}\left({\color{gray}0.968 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id;zero_depth	50 entities	$$17.9 \mathrm{ms} \pm 86.6 \mathrm{μs}\left({\color{gray}3.81 \mathrm{\%}}\right) $$	Flame Graph

read_scaling_linkless

Function	Value	Mean	Flame graphs
entity_by_id	1 entities	$$14.8 \mathrm{ms} \pm 55.7 \mathrm{μs}\left({\color{gray}0.678 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id	10 entities	$$14.7 \mathrm{ms} \pm 72.3 \mathrm{μs}\left({\color{gray}0.863 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id	100 entities	$$14.7 \mathrm{ms} \pm 56.3 \mathrm{μs}\left({\color{gray}0.096 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id	1000 entities	$$15.2 \mathrm{ms} \pm 74.7 \mathrm{μs}\left({\color{gray}-0.362 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id	10000 entities	$$22.0 \mathrm{ms} \pm 134 \mathrm{μs}\left({\color{gray}-1.581 \mathrm{\%}}\right) $$	Flame Graph

representative_read_entity

Function	Value	Mean	Flame graphs
entity_by_id	entity type ID: `https://blockprotocol.org/@alice/types/entity-type/block/v/1`	$$29.4 \mathrm{ms} \pm 260 \mathrm{μs}\left({\color{gray}-3.979 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id	entity type ID: `https://blockprotocol.org/@alice/types/entity-type/book/v/1`	$$29.9 \mathrm{ms} \pm 291 \mathrm{μs}\left({\color{gray}0.282 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id	entity type ID: `https://blockprotocol.org/@alice/types/entity-type/building/v/1`	$$29.9 \mathrm{ms} \pm 276 \mathrm{μs}\left({\color{gray}4.08 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id	entity type ID: `https://blockprotocol.org/@alice/types/entity-type/organization/v/1`	$$29.4 \mathrm{ms} \pm 301 \mathrm{μs}\left({\color{gray}-1.010 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id	entity type ID: `https://blockprotocol.org/@alice/types/entity-type/page/v/2`	$$28.5 \mathrm{ms} \pm 292 \mathrm{μs}\left({\color{gray}-4.842 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id	entity type ID: `https://blockprotocol.org/@alice/types/entity-type/person/v/1`	$$29.8 \mathrm{ms} \pm 261 \mathrm{μs}\left({\color{gray}-0.746 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id	entity type ID: `https://blockprotocol.org/@alice/types/entity-type/playlist/v/1`	$$28.4 \mathrm{ms} \pm 255 \mathrm{μs}\left({\color{gray}0.461 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id	entity type ID: `https://blockprotocol.org/@alice/types/entity-type/song/v/1`	$$29.8 \mathrm{ms} \pm 269 \mathrm{μs}\left({\color{gray}2.42 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id	entity type ID: `https://blockprotocol.org/@alice/types/entity-type/uk-address/v/1`	$$29.4 \mathrm{ms} \pm 256 \mathrm{μs}\left({\color{gray}0.375 \mathrm{\%}}\right) $$	Flame Graph

representative_read_entity_type

Function	Value	Mean	Flame graphs
get_entity_type_by_id	Account ID: `bf5a9ef5-dc3b-43cf-a291-6210c0321eba`	$$8.01 \mathrm{ms} \pm 28.6 \mathrm{μs}\left({\color{gray}-0.625 \mathrm{\%}}\right) $$	Flame Graph

representative_read_multiple_entities

Function	Value	Mean	Flame graphs
entity_by_property	traversal_paths=0	0	$$45.5 \mathrm{ms} \pm 244 \mathrm{μs}\left({\color{gray}-3.813 \mathrm{\%}}\right) $$
entity_by_property	traversal_paths=255	1,resolve_depths=inherit:1;values:255;properties:255;links:127;link_dests:126;type:true	$$93.7 \mathrm{ms} \pm 417 \mathrm{μs}\left({\color{gray}-1.138 \mathrm{\%}}\right) $$
entity_by_property	traversal_paths=2	1,resolve_depths=inherit:0;values:0;properties:0;links:0;link_dests:0;type:false	$$51.1 \mathrm{ms} \pm 244 \mathrm{μs}\left({\color{gray}-3.760 \mathrm{\%}}\right) $$
entity_by_property	traversal_paths=2	1,resolve_depths=inherit:0;values:0;properties:0;links:1;link_dests:0;type:true	$$59.0 \mathrm{ms} \pm 233 \mathrm{μs}\left({\color{gray}-3.498 \mathrm{\%}}\right) $$
entity_by_property	traversal_paths=2	1,resolve_depths=inherit:0;values:0;properties:2;links:1;link_dests:0;type:true	$$68.8 \mathrm{ms} \pm 297 \mathrm{μs}\left({\color{gray}0.949 \mathrm{\%}}\right) $$
entity_by_property	traversal_paths=2	1,resolve_depths=inherit:0;values:2;properties:2;links:1;link_dests:0;type:true	$$75.5 \mathrm{ms} \pm 347 \mathrm{μs}\left({\color{gray}-0.516 \mathrm{\%}}\right) $$
link_by_source_by_property	traversal_paths=0	0	$$49.5 \mathrm{ms} \pm 246 \mathrm{μs}\left({\color{gray}-1.842 \mathrm{\%}}\right) $$
link_by_source_by_property	traversal_paths=255	1,resolve_depths=inherit:1;values:255;properties:255;links:127;link_dests:126;type:true	$$76.3 \mathrm{ms} \pm 324 \mathrm{μs}\left({\color{gray}-2.707 \mathrm{\%}}\right) $$
link_by_source_by_property	traversal_paths=2	1,resolve_depths=inherit:0;values:0;properties:0;links:0;link_dests:0;type:false	$$56.3 \mathrm{ms} \pm 304 \mathrm{μs}\left({\color{gray}-0.008 \mathrm{\%}}\right) $$
link_by_source_by_property	traversal_paths=2	1,resolve_depths=inherit:0;values:0;properties:0;links:1;link_dests:0;type:true	$$63.1 \mathrm{ms} \pm 331 \mathrm{μs}\left({\color{gray}-3.601 \mathrm{\%}}\right) $$
link_by_source_by_property	traversal_paths=2	1,resolve_depths=inherit:0;values:0;properties:2;links:1;link_dests:0;type:true	$$65.3 \mathrm{ms} \pm 296 \mathrm{μs}\left({\color{gray}-2.184 \mathrm{\%}}\right) $$
link_by_source_by_property	traversal_paths=2	1,resolve_depths=inherit:0;values:2;properties:2;links:1;link_dests:0;type:true	$$65.5 \mathrm{ms} \pm 287 \mathrm{μs}\left({\color{gray}-2.853 \mathrm{\%}}\right) $$

scenarios

Function	Value	Mean	Flame graphs
full_test	query-limited	$$129 \mathrm{ms} \pm 487 \mathrm{μs}\left({\color{lightgreen}-7.302 \mathrm{\%}}\right) $$	Flame Graph
full_test	query-unlimited	$$129 \mathrm{ms} \pm 518 \mathrm{μs}\left({\color{lightgreen}-7.184 \mathrm{\%}}\right) $$	Flame Graph
linked_queries	query-limited	$$40.0 \mathrm{ms} \pm 208 \mathrm{μs}\left({\color{lightgreen}-60.768 \mathrm{\%}}\right) $$	Flame Graph
linked_queries	query-unlimited	$$580 \mathrm{ms} \pm 1.09 \mathrm{ms}\left({\color{gray}-2.167 \mathrm{\%}}\right) $$	Flame Graph

indietyp added 11 commits December 18, 2025 16:17

feat: create file

db91c17

fix: doctests

40eedbb

chore: reorder

39a1477

feat: checkpoint

02078e6

fix: run in reverse postorder

2286deb

feat: place simplify

84fc008

feat: propagate across edges

38f09b3

chore: docs

b64090f

chore: docs

af65448

chore: docs

760f904

feat: tests

a8e197c

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BE-254: Add CodSpeed benchmarking for HashQL MIR transformation passes #8204

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BE-255: HashQL: Implement Copy Propagation (CP) pass for MIR #8207

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BE-258: HashQL: Add Changed enum to track MIR transformation pass modifications #8210

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BE-227: HashQL: Implement call graph analysis for MIR #8214

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@rust/hash-graph-benches – Integrations

policy_resolution_large

policy_resolution_medium

policy_resolution_none

policy_resolution_small

read_scaling_complete

read_scaling_linkless

representative_read_entity

representative_read_entity_type

representative_read_multiple_entities

scenarios

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BE-231: Add InstSimplify pass for MIR instruction simplification and constant folding #8206

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BE-231: Add InstSimplify pass for MIR instruction simplification and constant folding #8206

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indietyp commented Dec 21, 2025

🌟 What is the purpose of this PR?

🔍 What does this change?

Pre-Merge Checklist 🚀

🚢 Has this modified a publishable library?

📜 Does this require a change to the docs?

🕸️ Does this require a change to the Turbo Graph?

🛡 What tests cover this?

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PR Summary

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Codecov Report

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CodSpeed Performance Report

Merging #8206 will degrade performance by 11.29%

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Benchmarks breakdown

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github-actions bot commented Dec 21, 2025

Benchmark results

@rust/hash-graph-benches – Integrations

policy_resolution_large

policy_resolution_medium

policy_resolution_none

policy_resolution_small

read_scaling_complete

read_scaling_linkless

representative_read_entity

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representative_read_multiple_entities

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cursor bot commented Dec 21, 2025 •

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indietyp commented Dec 21, 2025 •

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