FE-219: port and wire all components from park-ui, as stubs

[lunelson]

🌟 What is the purpose of this PR?

This PR gets the Park UI port into @hashintel/ds-components as a beta/stub surface, wires it into Ladle, and finishes the package reshuffle needed to expose preset-owned tokens from @hashintel/ds-components/tokens.

It also switches the library build from tsdown to tsupdue to issues with the way type declarations from panda were being output with the former; and cleans up the story layout so the new beta primitives sit separately from the legacy published components.

🔗 Related links

• FE-219 (internal)
• libs/@hashintel/ds-components/_docs/research/park-ui-porting-guide.md

🚫 Blocked by

• None

🔍 What does this change?

• adds the Park UI-derived beta primitives and stories under src/beta/**
• moves preset token/theme internals into the new src/preset/tokens.ts and src/preset/recipes.ts layout
• replaces the unused @hashintel/ds-components/theme export with @hashintel/ds-components/tokens
• switches the package build to tsup and updates the Turbo graph around that
• reorganizes Ladle so the sidebar separates Primitives, Tokens, and Legacy

Pre-Merge Checklist 🚀

🚢 Has this modified a publishable library?

This PR:

• I am unsure / need advice

📜 Does this require a change to the docs?

The changes in this PR:

• require changes to docs which are made as part of this PR

🕸️ Does this require a change to the Turbo Graph?

The changes in this PR:

• affected the execution graph, and the turbo.json's have been updated to reflect this

⚠️ Known issues

• /beta is intentionally transitional and not part of the published component surface yet

🐾 Next steps

• keep promoting stabilized beta primitives into the published component surface
• tighten up beta stories and token usage as those primitives graduate

🛡 What tests cover this?

• yarn lint:tsc
• yarn build
• yarn build:ladle
• yarn test:unit

❓ How to test this?

1. Check out ln/fe-219-stub-park-ui-patterns
2. In libs/@hashintel/ds-components, run yarn build, yarn build:ladle, and yarn test:unit
3. Run yarn dev and confirm the Ladle sidebar now separates Primitives, Tokens, and Legacy
4. Spot-check a few stories in Primitives and confirm they render
5. Confirm the published package surface still builds through @hashintel/ds-components, @hashintel/ds-components/preset, and @hashintel/ds-components/tokens

📹 Demo

• Not included

[vercel]

The latest updates on your projects. Learn more about Vercel for GitHub.

Project	Deployment	Actions	Updated (UTC)
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petrinaut	Ready	Preview	Apr 29, 2026 8:17pm

[lunelson]

• WIP removals, refinements #8673
• FE-219: port and wire all components from park-ui, as stubs #8670 👈 (View in Graphite)
• main

This stack of pull requests is managed by Graphite. Learn more about stacking.

[cursor]

PR Summary

Medium Risk
Introduces a new public entrypoint (@hashintel/ds-components/tokens) while removing ./theme, and swaps the library build pipeline to tsup, which could break consumers or produce different emitted types if anything is misconfigured.

Overview
Ports a large set of Park UI-derived beta/stub primitives into src/beta/** (recipes, component wrappers, and Ladle stories) and wires them into Panda’s include paths so their styles/types can be generated.

Replaces the @hashintel/ds-components/theme export with a new @hashintel/ds-components/tokens entrypoint (via src/tokens.ts) that exposes preset-owned tokens/semanticTokens, and adjusts token/color generation scripts to write into the new src/preset/tokens/gen/** layout.

Updates the package toolchain and dev ergonomics: switches builds from tsdown to tsup (new tsup.config.ts and export entries), tweaks Ladle story ordering to separate primitives/tokens/legacy, and revises ESLint config to avoid slow type-aware linting on story surfaces while adding cached lint/tsc:beta scripts.

^{Reviewed by Cursor Bugbot for commit 980f377. Bugbot is set up for automated code reviews on this repo. Configure here.}

[augmentcode]

This pull request is abnormally large and would use a significant amount of tokens to review. If you still wish to review it, comment "augment review" and we will review it.

[codecov]

Codecov Report

✅ All modified and coverable lines are covered by tests.
✅ Project coverage is 62.08%. Comparing base (1b02fbf) to head (980f377).

Additional details and impacted files

@@           Coverage Diff           @@
##             main    #8670   +/-   ##
=======================================
  Coverage   62.08%   62.08%           
=======================================
  Files        1341     1341           
  Lines      135072   135072           
  Branches     5744     5744           
=======================================
  Hits        83854    83854           
  Misses      50310    50310           
  Partials      908      908           

Flag	Coverage Δ
apps.hash-ai-worker-ts	1.41% <ø> (ø)
apps.hash-api	0.00% <ø> (ø)
blockprotocol.type-system	40.84% <ø> (ø)
local.claude-hooks	0.00% <ø> (ø)
local.harpc-client	51.24% <ø> (ø)
local.hash-backend-utils	0.00% <ø> (ø)
local.hash-graph-sdk	9.63% <ø> (ø)
local.hash-isomorphic-utils	0.00% <ø> (ø)
rust.antsi	0.00% <ø> (ø)
rust.error-stack	90.87% <ø> (ø)
rust.harpc-codec	84.70% <ø> (ø)
rust.harpc-net	96.19% <ø> (ø)
rust.harpc-tower	67.03% <ø> (ø)
rust.harpc-types	0.00% <ø> (ø)
rust.harpc-wire-protocol	92.23% <ø> (ø)
rust.hash-codec	72.76% <ø> (ø)
rust.hash-graph-api	2.52% <ø> (ø)
rust.hash-graph-authorization	62.34% <ø> (ø)
rust.hash-graph-postgres-store	26.38% <ø> (ø)
rust.hash-graph-store	37.76% <ø> (ø)
rust.hash-graph-temporal-versioning	47.95% <ø> (ø)
rust.hash-graph-types	0.00% <ø> (ø)
rust.hash-graph-validation	83.45% <ø> (ø)
rust.hashql-ast	87.23% <ø> (ø)
rust.hashql-compiletest	29.63% <ø> (ø)
rust.hashql-core	82.29% <ø> (ø)
rust.hashql-diagnostics	72.43% <ø> (ø)
rust.hashql-eval	69.13% <ø> (ø)
rust.hashql-hir	89.06% <ø> (ø)
rust.hashql-mir	92.64% <ø> (ø)
rust.hashql-syntax-jexpr	94.05% <ø> (ø)

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

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[codspeed-hq]

Merging this PR will not alter performance

✅ 80 untouched benchmarks

---

_{Comparing ln/fe-219-stub-park-ui-patterns (86889ff) with main (3ec4a42)¹}

Footnotes

1. No successful run was found on main (79eda1e) during the generation of this report, so 3ec4a42 was used instead as the comparison base. There might be some changes unrelated to this pull request in this report. ↩

[github-actions]

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	$$27.5 \mathrm{ms} \pm 192 \mathrm{μs}\left({\color{gray}-3.962 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: empty, selectivity: low, policies: 1	$$3.44 \mathrm{ms} \pm 23.7 \mathrm{μs}\left({\color{gray}-4.849 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: empty, selectivity: medium, policies: 1001	$$12.9 \mathrm{ms} \pm 85.2 \mathrm{μs}\left({\color{gray}-4.762 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: seeded, selectivity: high, policies: 3314	$$44.5 \mathrm{ms} \pm 295 \mathrm{μs}\left({\color{gray}-1.022 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: seeded, selectivity: low, policies: 1	$$15.7 \mathrm{ms} \pm 129 \mathrm{μs}\left({\color{gray}4.96 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: seeded, selectivity: medium, policies: 1526	$$25.1 \mathrm{ms} \pm 167 \mathrm{μs}\left({\color{gray}-1.128 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: system, selectivity: high, policies: 2078	$$28.7 \mathrm{ms} \pm 205 \mathrm{μs}\left({\color{gray}-4.335 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: system, selectivity: low, policies: 1	$$3.68 \mathrm{ms} \pm 18.4 \mathrm{μs}\left({\color{lightgreen}-12.407 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: system, selectivity: medium, policies: 1033	$$13.7 \mathrm{ms} \pm 88.8 \mathrm{μs}\left({\color{lightgreen}-10.170 \mathrm{\%}}\right) $$	Flame Graph

policy_resolution_medium

Function	Value	Mean	Flame graphs
resolve_policies_for_actor	user: empty, selectivity: high, policies: 102	$$3.84 \mathrm{ms} \pm 25.7 \mathrm{μs}\left({\color{gray}-0.219 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: empty, selectivity: low, policies: 1	$$3.00 \mathrm{ms} \pm 17.6 \mathrm{μs}\left({\color{gray}-0.143 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: empty, selectivity: medium, policies: 51	$$3.36 \mathrm{ms} \pm 18.2 \mathrm{μs}\left({\color{gray}-0.030 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: seeded, selectivity: high, policies: 269	$$5.20 \mathrm{ms} \pm 36.2 \mathrm{μs}\left({\color{gray}1.06 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: seeded, selectivity: low, policies: 1	$$3.54 \mathrm{ms} \pm 21.7 \mathrm{μs}\left({\color{gray}-0.461 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: seeded, selectivity: medium, policies: 107	$$4.14 \mathrm{ms} \pm 27.9 \mathrm{μs}\left({\color{gray}-0.521 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: system, selectivity: high, policies: 133	$$4.44 \mathrm{ms} \pm 24.9 \mathrm{μs}\left({\color{gray}-1.388 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: system, selectivity: low, policies: 1	$$3.49 \mathrm{ms} \pm 24.9 \mathrm{μs}\left({\color{gray}1.32 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: system, selectivity: medium, policies: 63	$$4.17 \mathrm{ms} \pm 38.7 \mathrm{μs}\left({\color{gray}1.98 \mathrm{\%}}\right) $$	Flame Graph

policy_resolution_none

Function	Value	Mean	Flame graphs
resolve_policies_for_actor	user: empty, selectivity: high, policies: 2	$$2.60 \mathrm{ms} \pm 14.9 \mathrm{μs}\left({\color{gray}-1.560 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: empty, selectivity: low, policies: 1	$$2.51 \mathrm{ms} \pm 15.0 \mathrm{μs}\left({\color{gray}-1.890 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: empty, selectivity: medium, policies: 1	$$2.54 \mathrm{ms} \pm 13.7 \mathrm{μs}\left({\color{gray}-2.419 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: system, selectivity: high, policies: 8	$$2.84 \mathrm{ms} \pm 16.7 \mathrm{μs}\left({\color{gray}-0.140 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: system, selectivity: low, policies: 1	$$2.64 \mathrm{ms} \pm 18.0 \mathrm{μs}\left({\color{gray}-1.392 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: system, selectivity: medium, policies: 3	$$2.82 \mathrm{ms} \pm 17.6 \mathrm{μs}\left({\color{gray}-0.570 \mathrm{\%}}\right) $$	Flame Graph

policy_resolution_small

Function	Value	Mean	Flame graphs
resolve_policies_for_actor	user: empty, selectivity: high, policies: 52	$$3.00 \mathrm{ms} \pm 14.0 \mathrm{μs}\left({\color{gray}-0.969 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: empty, selectivity: low, policies: 1	$$2.74 \mathrm{ms} \pm 14.8 \mathrm{μs}\left({\color{gray}0.288 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: empty, selectivity: medium, policies: 25	$$2.97 \mathrm{ms} \pm 18.3 \mathrm{μs}\left({\color{gray}-0.044 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: seeded, selectivity: high, policies: 94	$$3.45 \mathrm{ms} \pm 23.7 \mathrm{μs}\left({\color{gray}0.675 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: seeded, selectivity: low, policies: 1	$$2.97 \mathrm{ms} \pm 18.1 \mathrm{μs}\left({\color{gray}1.65 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: seeded, selectivity: medium, policies: 26	$$3.34 \mathrm{ms} \pm 21.1 \mathrm{μs}\left({\color{gray}1.93 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: system, selectivity: high, policies: 66	$$3.34 \mathrm{ms} \pm 18.5 \mathrm{μs}\left({\color{gray}0.915 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: system, selectivity: low, policies: 1	$$2.94 \mathrm{ms} \pm 13.8 \mathrm{μs}\left({\color{gray}-0.250 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: system, selectivity: medium, policies: 29	$$3.33 \mathrm{ms} \pm 20.0 \mathrm{μs}\left({\color{gray}0.102 \mathrm{\%}}\right) $$	Flame Graph

read_scaling_complete

Function	Value	Mean	Flame graphs
entity_by_id;one_depth	1 entities	$$56.8 \mathrm{ms} \pm 343 \mathrm{μs}\left({\color{gray}2.46 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id;one_depth	10 entities	$$46.9 \mathrm{ms} \pm 232 \mathrm{μs}\left({\color{gray}0.933 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id;one_depth	25 entities	$$50.8 \mathrm{ms} \pm 343 \mathrm{μs}\left({\color{gray}0.251 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id;one_depth	5 entities	$$45.7 \mathrm{ms} \pm 280 \mathrm{μs}\left({\color{gray}2.55 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id;one_depth	50 entities	$$63.6 \mathrm{ms} \pm 368 \mathrm{μs}\left({\color{gray}2.32 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id;two_depth	1 entities	$$62.7 \mathrm{ms} \pm 368 \mathrm{μs}\left({\color{gray}1.42 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id;two_depth	10 entities	$$56.7 \mathrm{ms} \pm 346 \mathrm{μs}\left({\color{gray}-0.817 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id;two_depth	25 entities	$$101 \mathrm{ms} \pm 462 \mathrm{μs}\left({\color{gray}1.06 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id;two_depth	5 entities	$$62.7 \mathrm{ms} \pm 4.35 \mathrm{ms}\left({\color{red}35.7 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id;two_depth	50 entities	$$301 \mathrm{ms} \pm 965 \mathrm{μs}\left({\color{gray}0.742 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id;zero_depth	1 entities	$$20.4 \mathrm{ms} \pm 151 \mathrm{μs}\left({\color{gray}3.55 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id;zero_depth	10 entities	$$20.9 \mathrm{ms} \pm 142 \mathrm{μs}\left({\color{gray}4.70 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id;zero_depth	25 entities	$$21.0 \mathrm{ms} \pm 128 \mathrm{μs}\left({\color{gray}2.33 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id;zero_depth	5 entities	$$19.9 \mathrm{ms} \pm 119 \mathrm{μs}\left({\color{gray}-1.258 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id;zero_depth	50 entities	$$25.3 \mathrm{ms} \pm 186 \mathrm{μs}\left({\color{gray}-1.319 \mathrm{\%}}\right) $$	Flame Graph

read_scaling_linkless

Function	Value	Mean	Flame graphs
entity_by_id	1 entities	$$20.2 \mathrm{ms} \pm 119 \mathrm{μs}\left({\color{gray}1.07 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id	10 entities	$$20.1 \mathrm{ms} \pm 148 \mathrm{μs}\left({\color{gray}3.01 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id	100 entities	$$20.1 \mathrm{ms} \pm 118 \mathrm{μs}\left({\color{gray}2.80 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id	1000 entities	$$21.6 \mathrm{ms} \pm 143 \mathrm{μs}\left({\color{red}5.26 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id	10000 entities	$$29.1 \mathrm{ms} \pm 243 \mathrm{μs}\left({\color{red}6.87 \mathrm{\%}}\right) $$	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	$$37.1 \mathrm{ms} \pm 377 \mathrm{μs}\left({\color{gray}4.23 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id	entity type ID: https://blockprotocol.org/@alice/types/entity-type/book/v/1	$$36.7 \mathrm{ms} \pm 295 \mathrm{μs}\left({\color{gray}2.81 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id	entity type ID: https://blockprotocol.org/@alice/types/entity-type/building/v/1	$$35.4 \mathrm{ms} \pm 364 \mathrm{μs}\left({\color{gray}-2.389 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id	entity type ID: https://blockprotocol.org/@alice/types/entity-type/organization/v/1	$$36.6 \mathrm{ms} \pm 276 \mathrm{μs}\left({\color{gray}2.49 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id	entity type ID: https://blockprotocol.org/@alice/types/entity-type/page/v/2	$$38.1 \mathrm{ms} \pm 327 \mathrm{μs}\left({\color{red}7.30 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id	entity type ID: https://blockprotocol.org/@alice/types/entity-type/person/v/1	$$36.7 \mathrm{ms} \pm 286 \mathrm{μs}\left({\color{gray}1.70 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id	entity type ID: https://blockprotocol.org/@alice/types/entity-type/playlist/v/1	$$36.3 \mathrm{ms} \pm 306 \mathrm{μs}\left({\color{gray}2.35 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id	entity type ID: https://blockprotocol.org/@alice/types/entity-type/song/v/1	$$37.6 \mathrm{ms} \pm 302 \mathrm{μs}\left({\color{gray}1.30 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id	entity type ID: https://blockprotocol.org/@alice/types/entity-type/uk-address/v/1	$$37.8 \mathrm{ms} \pm 318 \mathrm{μs}\left({\color{gray}3.19 \mathrm{\%}}\right) $$	Flame Graph

representative_read_entity_type

Function	Value	Mean	Flame graphs
get_entity_type_by_id	Account ID: bf5a9ef5-dc3b-43cf-a291-6210c0321eba	$$8.76 \mathrm{ms} \pm 49.6 \mathrm{μs}\left({\color{gray}-0.006 \mathrm{\%}}\right) $$	Flame Graph

representative_read_multiple_entities

Function	Value	Mean	Flame graphs
entity_by_property	traversal_paths=0	0	$$98.4 \mathrm{ms} \pm 497 \mathrm{μs}\left({\color{gray}-0.166 \mathrm{\%}}\right) $$
entity_by_property	traversal_paths=255	1,resolve_depths=inherit:1;values:255;properties:255;links:127;link_dests:126;type:true	$$154 \mathrm{ms} \pm 620 \mathrm{μs}\left({\color{gray}-3.483 \mathrm{\%}}\right) $$
entity_by_property	traversal_paths=2	1,resolve_depths=inherit:0;values:0;properties:0;links:0;link_dests:0;type:false	$$105 \mathrm{ms} \pm 545 \mathrm{μs}\left({\color{gray}-4.393 \mathrm{\%}}\right) $$
entity_by_property	traversal_paths=2	1,resolve_depths=inherit:0;values:0;properties:0;links:1;link_dests:0;type:true	$$117 \mathrm{ms} \pm 617 \mathrm{μs}\left({\color{gray}-4.414 \mathrm{\%}}\right) $$
entity_by_property	traversal_paths=2	1,resolve_depths=inherit:0;values:0;properties:2;links:1;link_dests:0;type:true	$$122 \mathrm{ms} \pm 569 \mathrm{μs}\left({\color{lightgreen}-5.012 \mathrm{\%}}\right) $$
entity_by_property	traversal_paths=2	1,resolve_depths=inherit:0;values:2;properties:2;links:1;link_dests:0;type:true	$$135 \mathrm{ms} \pm 670 \mathrm{μs}\left({\color{gray}-0.909 \mathrm{\%}}\right) $$
link_by_source_by_property	traversal_paths=0	0	$$107 \mathrm{ms} \pm 505 \mathrm{μs}\left({\color{gray}-1.314 \mathrm{\%}}\right) $$
link_by_source_by_property	traversal_paths=255	1,resolve_depths=inherit:1;values:255;properties:255;links:127;link_dests:126;type:true	$$141 \mathrm{ms} \pm 512 \mathrm{μs}\left({\color{gray}2.55 \mathrm{\%}}\right) $$
link_by_source_by_property	traversal_paths=2	1,resolve_depths=inherit:0;values:0;properties:0;links:0;link_dests:0;type:false	$$114 \mathrm{ms} \pm 475 \mathrm{μs}\left({\color{gray}1.06 \mathrm{\%}}\right) $$
link_by_source_by_property	traversal_paths=2	1,resolve_depths=inherit:0;values:0;properties:0;links:1;link_dests:0;type:true	$$124 \mathrm{ms} \pm 506 \mathrm{μs}\left({\color{gray}0.180 \mathrm{\%}}\right) $$
link_by_source_by_property	traversal_paths=2	1,resolve_depths=inherit:0;values:0;properties:2;links:1;link_dests:0;type:true	$$126 \mathrm{ms} \pm 631 \mathrm{μs}\left({\color{gray}-0.206 \mathrm{\%}}\right) $$
link_by_source_by_property	traversal_paths=2	1,resolve_depths=inherit:0;values:2;properties:2;links:1;link_dests:0;type:true	$$128 \mathrm{ms} \pm 510 \mathrm{μs}\left({\color{gray}2.39 \mathrm{\%}}\right) $$

scenarios

Function	Value	Mean	Flame graphs
full_test	query-limited	$$179 \mathrm{ms} \pm 925 \mathrm{μs}\left({\color{gray}-3.329 \mathrm{\%}}\right) $$	Flame Graph
full_test	query-unlimited	$$145 \mathrm{ms} \pm 683 \mathrm{μs}\left({\color{lightgreen}-26.334 \mathrm{\%}}\right) $$	Flame Graph
linked_queries	query-limited	$$40.8 \mathrm{ms} \pm 222 \mathrm{μs}\left({\color{lightgreen}-5.729 \mathrm{\%}}\right) $$	Flame Graph
linked_queries	query-unlimited	$$575 \mathrm{ms} \pm 1.04 \mathrm{ms}\left({\color{gray}4.19 \mathrm{\%}}\right) $$	Flame Graph