From 4f9f110f28a937fe7c05a34ae82033a0ff095d81 Mon Sep 17 00:00:00 2001 From: GiggleLiu Date: Mon, 7 Sep 2026 00:47:50 +0800 Subject: [PATCH 1/2] Redesign website as an autonomous research atlas --- .github/workflows/docs.yml | 5 + Makefile | 27 +- docs/src/introduction.md | 6 +- docs/website/README.md | 67 + docs/website/assets/fonts/DM-Sans-OFL.txt | 93 + .../assets/fonts/Instrument-Serif-OFL.txt | 93 + docs/website/assets/fonts/dm-sans-regular.ttf | Bin 0 -> 48280 bytes .../website/assets/fonts/dm-sans-semibold.ttf | Bin 0 -> 48280 bytes .../assets/fonts/instrument-serif-italic.ttf | Bin 0 -> 64208 bytes .../website/assets/fonts/instrument-serif.ttf | Bin 0 -> 62284 bytes docs/website/assets/site.css | 1799 +++++++++++++++++ docs/website/assets/site.js | 719 +++++++ docs/website/index.html | 331 +++ docs/website/preview.png | Bin 0 -> 295229 bytes scripts/build_website.py | 111 + scripts/test_website.py | 156 ++ 16 files changed, 3399 insertions(+), 8 deletions(-) create mode 100644 docs/website/README.md create mode 100644 docs/website/assets/fonts/DM-Sans-OFL.txt create mode 100644 docs/website/assets/fonts/Instrument-Serif-OFL.txt create mode 100644 docs/website/assets/fonts/dm-sans-regular.ttf create mode 100644 docs/website/assets/fonts/dm-sans-semibold.ttf create mode 100644 docs/website/assets/fonts/instrument-serif-italic.ttf create mode 100644 docs/website/assets/fonts/instrument-serif.ttf create mode 100644 docs/website/assets/site.css create mode 100644 docs/website/assets/site.js create mode 100644 docs/website/index.html create mode 100644 docs/website/preview.png create mode 100644 scripts/build_website.py create mode 100644 scripts/test_website.py diff --git a/.github/workflows/docs.yml b/.github/workflows/docs.yml index 7aa4e1bba..b6b58ec6b 100644 --- a/.github/workflows/docs.yml +++ b/.github/workflows/docs.yml @@ -49,10 +49,15 @@ jobs: node scripts/generate_reduction_graph_layout.js cargo run --example export_schemas cargo run --example export_module_graph + cargo build -p problemreductions-cli --bin pred + bash scripts/generate_doc_snippets.sh target/debug/pred - name: Build mdBook run: mdbook build + - name: Build research website + run: python3 scripts/build_website.py + - name: Build PDF run: typst compile --root . docs/paper/reductions.typ book/reductions.pdf diff --git a/Makefile b/Makefile index ce9056ca2..1c3bbdfa9 100644 --- a/Makefile +++ b/Makefile @@ -1,6 +1,6 @@ # Makefile for problemreductions -.PHONY: help build test mcp-test fmt clippy doc mdbook paper clean coverage rust-export compare qubo-testdata export-schemas release run-plan run-issue run-pipeline run-pipeline-forever run-review run-review-forever board-next board-claim board-ack board-move issue-context issue-guards pr-context pr-wait-ci worktree-issue worktree-pr diagrams jl-testdata cli cli-demo copilot-review papers papers-lookup papers-download papers-scihub papers-status papers-push papers-pull papers-index +.PHONY: help build test mcp-test fmt clippy doc mdbook website paper clean coverage rust-export compare qubo-testdata export-schemas release run-plan run-issue run-pipeline run-pipeline-forever run-review run-review-forever board-next board-claim board-ack board-move issue-context issue-guards pr-context pr-wait-ci worktree-issue worktree-pr diagrams jl-testdata cli cli-demo copilot-review papers papers-lookup papers-download papers-scihub papers-status papers-push papers-pull papers-index RUNNER ?= codex CLAUDE_MODEL ?= opus @@ -21,6 +21,7 @@ help: @echo " doc - Build mdBook documentation" @echo " diagrams - Generate SVG diagrams from Typst (light + dark)" @echo " mdbook - Build and serve mdBook (with live reload)" + @echo " website - Build the research website and documentation" @echo " paper - Build Typst paper from checked-in fixtures (requires typst)" @echo " coverage - Generate coverage report (requires cargo-llvm-cov)" @echo " clean - Clean build artifacts" @@ -93,11 +94,23 @@ doc: node_modules/elkjs/package.json node scripts/generate_reduction_graph_layout.js cargo run --example export_schemas cargo run --example export_module_graph - bash scripts/generate_doc_snippets.sh target/release/pred - mdbook build docs + cargo build -p problemreductions-cli --bin pred + bash scripts/generate_doc_snippets.sh target/debug/pred + mdbook build + python3 scripts/build_website.py RUSTDOCFLAGS="--default-theme=dark" cargo doc --features ilp-highs --no-deps - rm -rf docs/book/api - cp -r target/doc docs/book/api + rm -rf book/api + cp -r target/doc book/api + +# Build the product website with fresh atlas data; API/PDF builds remain in doc/paper. +website: + cargo run --example export_graph + cargo run --example export_schemas + cargo run --example export_module_graph + cargo build -p problemreductions-cli --bin pred + bash scripts/generate_doc_snippets.sh target/debug/pred + mdbook build + python3 scripts/build_website.py # Generate SVG diagrams from Typst sources (light + dark themes) TYPST_DOC_DIAGRAMS := $(wildcard docs/src/static/*.typ) @@ -121,11 +134,13 @@ mdbook: node_modules/elkjs/package.json @echo "Exporting module graph..." @cargo run --example export_module_graph 2>&1 | tail -1 @echo "Generating CLI doc snippets..." - @bash scripts/generate_doc_snippets.sh target/release/pred 2>&1 | tail -1 + @cargo build -p problemreductions-cli --bin pred + @bash scripts/generate_doc_snippets.sh target/debug/pred @echo "Building API docs..." @RUSTDOCFLAGS="--default-theme=dark" cargo doc --features ilp-highs --no-deps 2>&1 | tail -1 @echo "Building mdBook..." @mdbook build + @python3 scripts/build_website.py rm -rf book/api cp -r target/doc book/api @-lsof -ti:3001 | xargs kill 2>/dev/null || true diff --git a/docs/src/introduction.md b/docs/src/introduction.md index 8b79aaff7..c38db6d23 100644 --- a/docs/src/introduction.md +++ b/docs/src/introduction.md @@ -1,6 +1,8 @@ # Problem Reductions -**problem-reductions** is a rust library that provides implementations of various computational hard problems and reduction rules between them. It is designed for algorithm research, education, and industry applications. +**problem-reductions** provides executable definitions of computationally hard problems and reduction rules between them. The library is the foundation for an autonomous research infrastructure: a system in which AI agents investigate useful connections, challenge candidate constructions, and expand a reusable atlas of computational knowledge. + +[Explore the research website and problem atlas →](./index.html) ## Reduction Graph @@ -45,7 +47,7 @@ Computational complexity theory has produced a rich body of polynomial-time redu Our goal is to build a comprehensive, machine-readable reduction graph: a directed graph in which every node is a computational problem and every edge is a verified polynomial-time reduction. Given such a graph, one can automatically compose reduction paths to route any source problem to any reachable target solver. -A key enabler is AI-assisted implementation. We propose a pipeline of `algorithm → paper → software`, in which AI agents translate published reduction proofs into tested code. The critical question — can AI-generated reductions be trusted? — has a concrete answer: nearly all reductions admit **closed-loop verification**. A round-trip test reduces a source instance to a target, solves the target, extracts the solution back, and checks it against a direct solve of the source. This property makes correctness mechanically verifiable, independent of how the code was produced. +A key enabler is AI-assisted implementation. We propose a pipeline of `algorithm → paper → software`, in which AI agents translate published reduction proofs into tested code. For witness-capable reductions, a **closed-loop test** reduces a source instance to a target, solves the target, extracts the solution back, and checks it against a direct solve of the source. These tests provide evidence about finite instances; a general correctness claim still requires a mathematical proof. Aggregate and Turing reductions have their own contracts and require corresponding checks.
diff --git a/docs/website/README.md b/docs/website/README.md new file mode 100644 index 000000000..c92a2f82e --- /dev/null +++ b/docs/website/README.md @@ -0,0 +1,67 @@ +# Research website + +The public entry point presents Problem Reductions as infrastructure for autonomous +research. It includes a searchable problem atlas, pages for every registered +problem variant and reduction, and an interactive vertex-cover / independent-set +example. Current implementation capabilities and future research ambitions are +explicitly distinguished. + +## Build and preview + +```sh +make website +python3 -m http.server 3001 --bind 127.0.0.1 --directory book +``` + +Open . `make doc` also builds Rust API documentation. +The deployment workflow builds the PDF and API and combines everything in `book/`. +The fast `make website` preview includes the guide; API/PDF links require those +additional builds, as in deployment. + +For CSS/JavaScript iteration after the registry exports have been generated: + +```sh +python3 scripts/build_website.py +``` + +The builder overlays the website's `index.html` and `assets/` onto mdBook's output. +Existing documentation URLs, `introduction.html`, the paper, and Rust API paths +stay available. Running `mdbook build` by itself restores mdBook's homepage; run +the website builder afterward. The GitHub Pages workflow does this automatically. + +## Design and data + +- Deep forest surfaces, warm ivory text, and pale lime form the dark visual palette. +- The header, footer, and favicon use the original `docs/logo.svg` artwork, recolored + at build time to match the dark palette. The canonical source logo stays unchanged. +- Self-hosted DM Sans and Instrument Serif include their OFL licenses in `assets/fonts/`. +- The graph is a generated SVG based on actual registry edges. Its homepage view + groups variants by problem family and does not imply that arbitrary paths compose. +- Detail pages use exact variants. URLs encode problem names and variant keys, + rather than transient registry indices. +- Counts, schemas, capabilities, and overhead expressions come from the same + generated JSON used by the documentation and paper. Nothing is manually counted. +- The five-vertex example is illustrative; research activity, novelty, and live test + results are never fabricated. A reduction's registration does not imply formal proof. +- Navigation, filters, search, clipboard actions, and the example are keyboard + accessible. Layouts adapt to mobile; motion respects reduced-motion preferences. +- No frontend framework, third-party runtime, or external font request is required. + +The static website does not yet provide agent execution, an experiment database, +or live research telemetry. The research section describes the intended loop and +links to the existing agent workflows. + +## Browser checks + +Build the full documentation with `make doc` so API link checks have their targets, +then run these commands with the preview server running: + +```sh +uv run --no-project --with playwright python -m playwright install chromium +uv run --no-project --with playwright python scripts/test_website.py +``` + +Set `WEBSITE_BROWSER_CHANNEL=chrome` to use an installed Chrome instead, or +`WEBSITE_BASE_URL=http://localhost:3001/` to change the preview address. The suite +exercises search, filters, exact variants, deep links, keyboard navigation, +clipboard actions, the mathematical example, legacy docs, and mobile overflow. diff --git a/docs/website/assets/fonts/DM-Sans-OFL.txt b/docs/website/assets/fonts/DM-Sans-OFL.txt new file mode 100644 index 000000000..a0eedfbf0 --- /dev/null +++ b/docs/website/assets/fonts/DM-Sans-OFL.txt @@ -0,0 +1,93 @@ +Copyright 2014 The DM Sans Project Authors (https://github.com/googlefonts/dm-fonts) + +This Font Software is licensed under the SIL Open Font License, Version 1.1. +This license is copied below, and is also available with a FAQ at: +https://scripts.sil.org/OFL + + +----------------------------------------------------------- +SIL OPEN FONT LICENSE Version 1.1 - 26 February 2007 +----------------------------------------------------------- + +PREAMBLE +The goals of the Open Font License (OFL) are to stimulate worldwide +development of collaborative font projects, to support the font creation +efforts of academic and linguistic communities, and to provide a free and +open framework in which fonts may be shared and improved in partnership +with others. + +The OFL allows the licensed fonts to be used, studied, modified and +redistributed freely as long as they are not sold by themselves. The +fonts, including any derivative works, can be bundled, embedded, +redistributed and/or sold with any software provided that any reserved +names are not used by derivative works. The fonts and derivatives, +however, cannot be released under any other type of license. The +requirement for fonts to remain under this license does not apply +to any document created using the fonts or their derivatives. + +DEFINITIONS +"Font Software" refers to the set of files released by the Copyright +Holder(s) under this license and clearly marked as such. This may +include source files, build scripts and documentation. + +"Reserved Font Name" refers to any names specified as such after the +copyright statement(s). + +"Original Version" refers to the collection of Font Software components as +distributed by the Copyright Holder(s). + +"Modified Version" refers to any derivative made by adding to, deleting, +or substituting -- in part or in whole -- any of the components of the +Original Version, by changing formats or by porting the Font Software to a +new environment. + +"Author" refers to any designer, engineer, programmer, technical +writer or other person who contributed to the Font Software. + +PERMISSION & CONDITIONS +Permission is hereby granted, free of charge, to any person obtaining +a copy of the Font Software, to use, study, copy, merge, embed, modify, +redistribute, and sell modified and unmodified copies of the Font +Software, subject to the following conditions: + +1) Neither the Font Software nor any of its individual components, +in Original or Modified Versions, may be sold by itself. + +2) Original or Modified Versions of the Font Software may be bundled, +redistributed and/or sold with any software, provided that each copy +contains the above copyright notice and this license. These can be +included either as stand-alone text files, human-readable headers or +in the appropriate machine-readable metadata fields within text or +binary files as long as those fields can be easily viewed by the user. + +3) No Modified Version of the Font Software may use the Reserved Font +Name(s) unless explicit written permission is granted by the corresponding +Copyright Holder. This restriction only applies to the primary font name as +presented to the users. + +4) The name(s) of the Copyright Holder(s) or the Author(s) of the Font +Software shall not be used to promote, endorse or advertise any +Modified Version, except to acknowledge the contribution(s) of the +Copyright Holder(s) and the Author(s) or with their explicit written +permission. + +5) The Font Software, modified or unmodified, in part or in whole, +must be distributed entirely under this license, and must not be +distributed under any other license. The requirement for fonts to +remain under this license does not apply to any document created +using the Font Software. + +TERMINATION +This license becomes null and void if any of the above conditions are +not met. + +DISCLAIMER +THE FONT SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, +EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO ANY WARRANTIES OF +MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT +OF COPYRIGHT, PATENT, TRADEMARK, OR OTHER RIGHT. IN NO EVENT SHALL THE +COPYRIGHT HOLDER BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, +INCLUDING ANY GENERAL, SPECIAL, INDIRECT, INCIDENTAL, OR CONSEQUENTIAL +DAMAGES, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING +FROM, OUT OF THE USE OR INABILITY TO USE THE FONT SOFTWARE OR FROM +OTHER DEALINGS IN THE FONT SOFTWARE. diff --git a/docs/website/assets/fonts/Instrument-Serif-OFL.txt b/docs/website/assets/fonts/Instrument-Serif-OFL.txt new file mode 100644 index 000000000..e1801b959 --- /dev/null +++ b/docs/website/assets/fonts/Instrument-Serif-OFL.txt @@ -0,0 +1,93 @@ +Copyright 2022 The Instrument Serif Project Authors (https://github.com/Instrument/instrument-serif) + +This Font Software is licensed under the SIL Open Font License, Version 1.1. +This license is copied below, and is also available with a FAQ at: +https://scripts.sil.org/OFL + + +----------------------------------------------------------- +SIL OPEN FONT LICENSE Version 1.1 - 26 February 2007 +----------------------------------------------------------- + +PREAMBLE +The goals of the Open Font License (OFL) are to stimulate worldwide +development of collaborative font projects, to support the font creation +efforts of academic and linguistic communities, and to provide a free and +open framework in which fonts may be shared and improved in partnership +with others. + +The OFL allows the licensed fonts to be used, studied, modified and +redistributed freely as long as they are not sold by themselves. The +fonts, including any derivative works, can be bundled, embedded, +redistributed and/or sold with any software provided that any reserved +names are not used by derivative works. The fonts and derivatives, +however, cannot be released under any other type of license. The +requirement for fonts to remain under this license does not apply +to any document created using the fonts or their derivatives. + +DEFINITIONS +"Font Software" refers to the set of files released by the Copyright +Holder(s) under this license and clearly marked as such. This may +include source files, build scripts and documentation. + +"Reserved Font Name" refers to any names specified as such after the +copyright statement(s). + +"Original Version" refers to the collection of Font Software components as +distributed by the Copyright Holder(s). + +"Modified Version" refers to any derivative made by adding to, deleting, +or substituting -- in part or in whole -- any of the components of the +Original Version, by changing formats or by porting the Font Software to a +new environment. + +"Author" refers to any designer, engineer, programmer, technical +writer or other person who contributed to the Font Software. + +PERMISSION & CONDITIONS +Permission is hereby granted, free of charge, to any person obtaining +a copy of the Font Software, to use, study, copy, merge, embed, modify, +redistribute, and sell modified and unmodified copies of the Font +Software, subject to the following conditions: + +1) Neither the Font Software nor any of its individual components, +in Original or Modified Versions, may be sold by itself. + +2) Original or Modified Versions of the Font Software may be bundled, +redistributed and/or sold with any software, provided that each copy +contains the above copyright notice and this license. These can be +included either as stand-alone text files, human-readable headers or +in the appropriate machine-readable metadata fields within text or +binary files as long as those fields can be easily viewed by the user. + +3) No Modified Version of the Font Software may use the Reserved Font +Name(s) unless explicit written permission is granted by the corresponding +Copyright Holder. This restriction only applies to the primary font name as +presented to the users. + +4) The name(s) of the Copyright Holder(s) or the Author(s) of the Font +Software shall not be used to promote, endorse or advertise any +Modified Version, except to acknowledge the contribution(s) of the +Copyright Holder(s) and the Author(s) or with their explicit written +permission. + +5) The Font Software, modified or unmodified, in part or in whole, +must be distributed entirely under this license, and must not be +distributed under any other license. The requirement for fonts to +remain under this license does not apply to any document created +using the Font Software. + +TERMINATION +This license becomes null and void if any of the above conditions are +not met. + +DISCLAIMER +THE FONT SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, +EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO ANY WARRANTIES OF +MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT +OF COPYRIGHT, PATENT, TRADEMARK, OR OTHER RIGHT. IN NO EVENT SHALL THE +COPYRIGHT HOLDER BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, +INCLUDING ANY GENERAL, SPECIAL, INDIRECT, INCIDENTAL, OR CONSEQUENTIAL +DAMAGES, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING +FROM, OUT OF THE USE OR INABILITY TO USE THE FONT SOFTWARE OR FROM +OTHER DEALINGS IN THE FONT SOFTWARE. diff --git a/docs/website/assets/fonts/dm-sans-regular.ttf b/docs/website/assets/fonts/dm-sans-regular.ttf new file mode 100644 index 0000000000000000000000000000000000000000..6c789eadb84764a2d7f75fc989ccb78873ec1540 GIT binary patch literal 48280 zcmc${33yaR*2i6SJLyhB2!tdgY#|$2$-YB?>>!(NY|O zAzG7o2vJsCQrhvS_7IGrB)^pP?^nJ5$vjUXqH~1k@lsj!pu+frsXq(hmoJ3%i+zTh5TcxYYJ+Hv@iG<-&gZ})cEORXMOUwV_rgd_vZmWOd3097WCF!59H`I zY1*wfF77$&f)L}s6JqE~lP8Xy5LLNqJlDr?J!>)qTfJo!-}Cq$HF^5nTju%|-y}p( zN1p%Xw3*|_e)#yw--PfyErey(^s%?hlKaG7@^f8;%@{jfoWgS>(CaruO>$YpY! zDNkynbjw%ET3r)dTcfqZkZa|Wy2dZ5ydK`1ZK?ZsWSTHkWI2;5V7i 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a/docs/website/assets/site.css b/docs/website/assets/site.css new file mode 100644 index 000000000..3abb763fa --- /dev/null +++ b/docs/website/assets/site.css @@ -0,0 +1,1799 @@ +@font-face { + font-family: DM Sans; + src: url("./fonts/dm-sans-regular.ttf") format("truetype"); + font-weight: 400; + font-style: normal; + font-display: swap; +} +@font-face { + font-family: DM Sans; + src: url("./fonts/dm-sans-semibold.ttf") format("truetype"); + font-weight: 500 800; + font-style: normal; + font-display: swap; +} +@font-face { + font-family: Instrument Serif; + src: url("./fonts/instrument-serif.ttf") format("truetype"); + font-weight: 400; + font-style: normal; + font-display: swap; +} +@font-face { + font-family: Instrument Serif; + src: url("./fonts/instrument-serif-italic.ttf") format("truetype"); + font-weight: 400; + font-style: italic; + font-display: swap; +} +:root { + color-scheme: dark; + --surface: #162119; + --on-accent: #142016; + --graph-node: #83a570; + --diagram-selected: #c4dda6; + --diagram-line: #88a079; + --diagram-label: #c4d5b4; + --paper: #101713; + --ink: #e8ede5; + --muted: #a4b0a5; + --green: #c4dda6; + --line: #2c3b30; + --lime: #d5e9a7; + --pale: #1a271e; + --serif: "Instrument Serif", Georgia, serif; + --sans: "DM Sans", Arial, sans-serif; + --mono: ui-monospace, SFMono-Regular, Consolas, monospace; +} +* { + box-sizing: border-box; +} +html { + scroll-behavior: smooth; + scroll-padding-top: 100px; +} +body { + margin: 0; + background: var(--paper); + color: var(--ink); + font-family: var(--sans); + font-size: 15px; + line-height: 1.65; + -webkit-font-smoothing: antialiased; +} +/* Route changes focus the content container; controls retain visible focus rings. */ +#main:focus { + outline: none; +} +a { + color: inherit; + text-decoration: none; +} +button, +input, +select { + font: inherit; +} +button, +a, +input, +select { + -webkit-tap-highlight-color: transparent; +} +button { + cursor: pointer; +} +button:disabled { + cursor: default; +} +button:focus-visible, +a:focus-visible, +input:focus-visible, +select:focus-visible, +summary:focus-visible { + outline: 3px solid var(--green); + outline-offset: 5px; +} +::selection { + background: var(--lime); + color: var(--on-accent); +} +button { + color: inherit; +} +img, +svg { + max-width: 100%; +} +h1, +h2, +h3, +p { + margin: 0; +} +h1, +h2, +h3 { + font-weight: 500; +} +h1, +h2 { + letter-spacing: -0.055em; + line-height: 1.03; +} +h1 em, +h2 em { + font-family: var(--serif); + font-weight: 400; + letter-spacing: -0.025em; +} +h2 { + font-size: clamp(38px, 4.1vw, 57px); +} +h3 { + font-size: 21px; + letter-spacing: -0.025em; + line-height: 1.3; +} +p { + color: var(--muted); +} +.wrap { + width: min(1280px, calc(100% - 112px)); + margin-inline: auto; +} +.eyebrow { + font-family: var(--mono); + font-size: 10px; + font-weight: 400; + letter-spacing: 0.11em; + line-height: 1.5; +} +.site-header { + position: sticky; + top: 0; + z-index: 30; + background: rgba(16, 23, 19, 0.96); + border-bottom: 1px solid var(--line); + backdrop-filter: blur(16px); +} +.header-inner { + width: min(1392px, calc(100% - 64px)); + height: 84px; + margin: auto; + display: flex; + align-items: center; + justify-content: space-between; + gap: 24px; +} +.wordmark { + display: inline-flex; + align-items: center; + gap: 10px; + white-space: nowrap; + font-size: 20px; + font-weight: 600; + letter-spacing: -1px; +} +.project-logo { + display: block; + width: 252px; + height: auto; +} +.site-footer .project-logo { + width: 224px; +} +.brand-period { + color: var(--green); +} +.site-header nav { + display: flex; + gap: 32px; + align-items: center; + font-size: 13px; +} +.site-header nav a { + color: var(--muted); + transition: color 0.2s; +} +.site-header nav a:hover, +.site-header nav a[aria-current] { + color: var(--green); +} +.site-header nav a[aria-current] { + text-decoration: underline; + text-underline-offset: 9px; +} +.docs-nav span { + font-size: 12px; + margin-left: 3px; +} +.search-trigger { + display: flex; + align-items: center; + gap: 9px; + background: transparent; + border: 1px solid var(--line); + border-radius: 6px; + padding: 8px 10px; + color: var(--muted); + font-size: 12px; +} +.search-trigger kbd { + font-size: 10px; + color: var(--muted); + margin-left: 20px; +} +.hero { + display: grid; + grid-template-columns: 1fr 1.15fr; + gap: 40px; + align-items: center; + min-height: 700px; + padding-block: 74px 76px; +} +.hero-copy { + position: relative; + z-index: 2; +} +.announcement { + display: inline-flex; + align-items: center; + gap: 9px; + border-bottom: 1px solid var(--line); + padding-bottom: 12px; + margin-bottom: 29px; + font-size: 9px; + color: var(--green); +} +.announcement > span:last-child { + margin-left: 12px; +} +.status-dot { + width: 6px; + height: 6px; + display: inline-block; + background: #a3c879; + border-radius: 50%; + flex-shrink: 0; + box-shadow: 0 0 0 4px rgba(122, 153, 86, 0.09); +} +.hero h1 { + font-size: clamp(60px, 6vw, 84px); + line-height: 0.99; +} +.hero h1 em { + color: var(--green); +} +.hero-description { + margin-top: 26px; + font-size: 15px; + line-height: 1.75; + max-width: 430px; +} +.hero-actions { + display: flex; + align-items: center; + gap: 25px; + margin-top: 29px; + flex-wrap: wrap; +} +.button { + display: inline-flex; + justify-content: center; + align-items: center; + gap: 23px; + min-height: 46px; + padding: 12px 20px; + border: 1px solid var(--green); + border-radius: 5px; + font-size: 13px; + transition: + background 0.2s, + transform 0.2s; +} +.primary { + background: var(--green); + color: var(--on-accent); +} +.primary:hover { + background: #d7edbd; + transform: translateY(-2px); +} +.secondary { + background: transparent; +} +.secondary:hover { + background: var(--pale); +} +.text-link { + display: inline-flex; + align-items: center; + gap: 15px; + font-size: 13px; + font-weight: 500; +} +.text-link:hover { + color: #dfedce; +} +.hero-footnote { + display: flex; + align-items: center; + gap: 8px; + margin-top: 25px; + font-size: 10px; + color: var(--muted); +} +.tiny-node { + height: 7px; + width: 7px; + border: 1px solid #96aa8b; + border-radius: 2px; +} +.atlas-visual { + position: relative; + min-width: 0; + padding: 0 0 68px; + margin-right: -15px; +} +.visual-toolbar { + display: flex; + align-items: center; + justify-content: space-between; + padding: 15px 0; + border-top: 1px solid var(--line); + color: var(--muted); +} +.map-scale { + font-family: var(--mono); + font-size: 8px; + letter-spacing: 0.1em; +} +.hero-graph { + height: 427px; + position: relative; + background-image: radial-gradient(#30432d 0.75px, transparent 0.75px); + background-size: 18px 18px; +} +.hero-graph svg { + width: 100%; + height: 100%; + overflow: visible; +} +.network-edge { + stroke: #698b5c; + stroke-width: 0.85; + opacity: 0.47; +} +.network-edge.featured-edge { + stroke: #c2de9b; + stroke-width: 2.4; + opacity: 1; +} +.network-node { + transition: opacity 0.2s; +} +.network-node circle { + fill: var(--graph-node); + stroke: var(--paper); + stroke-width: 2; + transition: + r 0.2s, + fill 0.2s; +} +.network-node:hover circle, +.network-node:focus-visible circle { + fill: #d7edbd; + r: 8; +} +.network-node text { + font-size: 11px; + font-family: var(--sans); + fill: var(--diagram-label); + paint-order: stroke; + stroke: var(--paper); + stroke-width: 6px; + stroke-linejoin: round; + pointer-events: none; +} +.network-node.major circle { + fill: #b3d191; +} +.network-node.major text { + font-size: 12px; + fill: var(--diagram-label); +} +.network-node.focus circle { + fill: #d4eab6; + stroke: #446239; + stroke-width: 7; +} +.network-node.focus text { + font-weight: 600; + fill: #d4eab6; +} +.graph-caption { + font-size: 9px; + color: var(--muted); + display: flex; + justify-content: space-between; + align-items: center; + padding: 14px 0; + border-top: 1px solid var(--line); +} +.graph-caption > span { + display: flex; + align-items: center; + gap: 6px; +} +.legend-dot { + width: 5px; + height: 5px; + background: var(--green); + border-radius: 50%; + display: inline-block; +} +.graph-feature { + position: absolute; + left: 11%; + right: 3%; + bottom: 0; + display: flex; + align-items: center; + gap: 14px; + padding: 16px 19px; + background: var(--surface); + border: 1px solid var(--line); + border-radius: 6px; + box-shadow: 0 12px 35px #00000024; + transition: transform 0.2s; +} +.graph-feature:hover { + transform: translateY(-3px); +} +.feature-icon { + font-size: 25px; + color: var(--green); + width: 37px; + height: 37px; + text-align: center; + background: var(--pale); + border-radius: 4px; +} +.graph-feature .eyebrow { + font-size: 8px; + color: var(--muted); + display: block; + margin-bottom: 4px; +} +.graph-feature strong { + font-size: 12px; + font-weight: 500; + display: block; +} +.graph-feature strong span { + margin-inline: 6px; + color: var(--muted); +} +.graph-feature > span:last-child { + margin-left: auto; +} +.stats-bar { + display: grid; + grid-template-columns: 1.4fr 1fr 1fr 1fr 1.1fr; + border-top: 1px solid var(--line); + border-bottom: 1px solid var(--line); + padding-block: 27px; + align-items: center; +} +.stats-bar > p { + font-size: 12px; + line-height: 1.6; +} +.stats-bar > p strong { + font-weight: 500; + color: var(--ink); +} +.stats-bar > div { + border-left: 1px solid var(--line); + padding-left: 32px; + display: flex; + flex-direction: column; +} +.stats-bar > div strong { + font-size: 32px; + letter-spacing: -1.6px; + line-height: 1.25; + font-weight: 400; +} +.stats-bar > div span { + font-size: 10px; + color: var(--muted); + margin-top: 5px; +} +.stats-bar > a { + font-size: 11px; + line-height: 1.7; + padding-left: 26px; + border-left: 1px solid var(--line); +} +.stats-bar > a span { + margin-left: 16px; +} +.section { + padding-block: 98px; +} +.section-heading { + display: grid; + grid-template-columns: 1.2fr 1fr; + gap: 80px; + align-items: end; + margin-bottom: 44px; +} +.section-heading .eyebrow { + margin-bottom: 20px; +} +.section-heading > p, +.section-heading > div > p:not(.eyebrow) { + max-width: 405px; + font-size: 14px; + line-height: 1.85; +} +.problem-showcase { + display: grid; + grid-template-columns: repeat(3, 1fr); + border: 1px solid var(--line); + border-radius: 7px; + overflow: hidden; +} +.problem-card { + display: block; + padding: 29px 28px 25px; + position: relative; + transition: background 0.2s; +} +.problem-card + .problem-card { + border-left: 1px solid var(--line); +} +.problem-card:hover { + background: var(--pale); +} +.problem-card .eyebrow { + font-size: 9px; + color: var(--muted); +} +.problem-card h3 { + font-size: 23px; + margin-top: 17px; + margin-bottom: 11px; +} +.problem-card p { + font-size: 12px; + line-height: 1.8; + min-height: 44px; + max-width: 290px; +} +.problem-card .mini-art { + height: 112px; + margin-block: 18px; +} +.problem-card .mini-art svg { + width: 100%; + height: 100%; +} +.card-bottom { + border-top: 1px solid var(--line); + padding-top: 17px; + margin-top: 22px; + display: flex; + justify-content: space-between; + align-items: center; + font-size: 10px; + color: var(--muted); +} +.card-bottom span:last-child { + font-size: 20px; + color: var(--green); +} +.section-bottom { + display: flex; + justify-content: space-between; + gap: 25px; + margin-top: 24px; + color: var(--muted); + font-size: 11px; +} +.research-section { + background: #1a3023; + color: var(--ink); + padding-block: 85px; +} +.research-section .eyebrow { + color: #b4c7ad; +} +.research-section h2 em { + color: var(--lime); +} +.research-section p { + color: #b5c5b2; +} +.outline-badge { + display: inline-block; + font-family: var(--mono); + font-size: 8px; + letter-spacing: 0.1em; + border: 1px solid #496445; + border-radius: 3px; + color: var(--lime); + padding: 4px 8px; + margin-top: 16px; +} +.research-cycle { + display: grid; + grid-template-columns: repeat(4, 1fr); + border-top: 1px solid #3a513d; + border-bottom: 1px solid #3a513d; + margin-top: 55px; +} +.research-cycle article { + padding: 29px 25px 27px 0; +} +.research-cycle article + article { + padding-left: 25px; + border-left: 1px solid #3a513d; +} +.cycle-number { + display: flex; + justify-content: space-between; + font-family: var(--mono); + font-size: 11px; + color: var(--lime); + margin-bottom: 30px; +} +.cycle-number > span { + font-size: 18px; + font-family: var(--sans); +} +.research-cycle h3 { + font-size: 18px; + margin-bottom: 14px; +} +.research-cycle p { + font-size: 12px; + line-height: 1.85; +} +.cycle-artifact { + display: block; + font-family: var(--mono); + font-size: 8px; + letter-spacing: 0.05em; + color: #bccfa8; + margin-top: 28px; +} +.research-note { + display: flex; + align-items: baseline; + gap: 12px; + padding-top: 25px; +} +.research-note p { + font-size: 10px; + max-width: 690px; +} +.research-note strong { + font-weight: 500; + color: var(--ink); +} +.research-note a { + font-size: 10px; + white-space: nowrap; + margin-left: auto; +} +.featured-result { + display: grid; + grid-template-columns: 1fr 1.2fr; + background: var(--pale); + border: 1px solid var(--line); + border-radius: 8px; + overflow: hidden; + transition: border-color 0.2s; +} +.featured-result:hover { + border-color: #7e9e65; +} +.featured-copy { + padding: 41px; +} +.pill { + display: inline-block; + border: 1px solid #4b6240; + color: #c6dcae; + background: #22331f; + padding: 5px 8px; + border-radius: 4px; + font-family: var(--mono); + font-size: 8px; + letter-spacing: 0.04em; +} +.featured-copy h3 { + font-size: 33px; + line-height: 1.18; + letter-spacing: -1.2px; + margin: 23px 0 17px; +} +.featured-copy p { + font-size: 12px; + max-width: 335px; + line-height: 1.85; +} +.featured-copy .text-link { + margin-top: 25px; +} +.complement-art { + display: flex; + align-items: center; + justify-content: center; + border-left: 1px solid var(--line); + padding: 25px; +} +.complement-art svg { + width: 100%; +} +.infrastructure-section { + padding-block: 40px 104px; + display: grid; + grid-template-columns: 1fr 1fr; + gap: 70px; + align-items: center; +} +.infrastructure-section .eyebrow { + margin-bottom: 23px; +} +.infrastructure-section p:not(.eyebrow) { + font-size: 13px; + line-height: 1.9; + margin-top: 23px; +} +.terminal { + background: var(--surface); + border: 1px solid var(--line); + border-radius: 7px; + overflow: hidden; + box-shadow: 0 10px 25px #00000024; +} +.terminal-header { + display: flex; + justify-content: space-between; + align-items: center; + gap: 10px; + padding: 14px 20px; + border-bottom: 1px solid var(--line); + font-family: var(--mono); + font-size: 8px; + color: var(--muted); +} +.terminal-header > span:first-child { + display: flex; + gap: 5px; +} +.terminal-header i { + width: 6px; + height: 6px; + border-radius: 50%; + background: #556e4c; +} +.copy-button { + border: 0; + background: transparent; + color: var(--green); + font-size: 10px; + padding: 4px 7px; +} +.copy-button:hover { + background: var(--pale); +} +pre { + white-space: pre-wrap; + overflow-wrap: anywhere; + font-family: var(--mono); + line-height: 1.85; + font-size: 12px; + margin: 0; +} +.terminal pre { + padding: 26px; + color: #c0d7ad; + font-size: 11px; +} +.terminal-comment { + color: var(--muted); +} +.terminal-prompt { + color: #a1bd87; +} +.terminal > a { + display: flex; + justify-content: space-between; + padding: 13px 22px; + border-top: 1px solid var(--line); + font-size: 10px; + background: #19271d; +} +.site-footer { + border-top: 1px solid var(--line); + padding-block: 36px; + display: flex; + justify-content: space-between; + gap: 30px; + align-items: center; +} +.site-footer .wordmark { + font-size: 16px; +} +.site-footer p { + font-size: 10px; + margin-top: 8px; +} +.site-footer > div:last-child { + display: flex; + gap: 24px; + font-size: 10px; +} +.site-footer > div:last-child > span { + color: var(--muted); +} +.skip-link { + position: fixed; + top: -70px; + left: 20px; + z-index: 99; + background: var(--green); + color: var(--on-accent); + padding: 10px 20px; +} +.skip-link:focus { + top: 10px; +} +.toast { + position: fixed; + bottom: 24px; + left: 50%; + transform: translate(-50%, 20px); + background: var(--green); + color: var(--on-accent); + padding: 10px 20px; + font-size: 13px; + border-radius: 5px; + opacity: 0; + pointer-events: none; + transition: + opacity 0.2s, + transform 0.2s; + z-index: 50; +} +.toast.visible { + opacity: 1; + transform: translate(-50%, 0); +} +/* Atlas and scientific reading views share the same spacing and type system. */ +.page-header { + padding-top: 65px; + padding-bottom: 40px; +} +.breadcrumbs { + display: flex; + flex-wrap: wrap; + gap: 10px; + font-size: 11px; + color: var(--muted); + margin-bottom: 29px; +} +.breadcrumbs a:hover { + text-decoration: underline; +} +.page-header .eyebrow { + margin-bottom: 18px; +} +.page-header h1 { + font-size: clamp(42px, 5vw, 65px); + max-width: 960px; + overflow-wrap: anywhere; +} +.page-header > p:not(.eyebrow) { + font-size: 15px; + max-width: 680px; + line-height: 1.8; + margin-top: 20px; +} +.atlas-controls { + display: flex; + align-items: center; + justify-content: space-between; + gap: 20px; + margin-top: 33px; +} +.atlas-search { + display: flex; + align-items: center; + gap: 12px; + border: 1px solid #42573b; + border-radius: 5px; + background: var(--surface); + padding: 12px 17px; + width: 420px; +} +.atlas-search input { + min-width: 0; + width: 100%; + border: 0; + background: transparent; + outline: none; + font-size: 13px; +} +.atlas-search:focus-within { + outline: 2px solid var(--green); + outline-offset: 2px; +} +.atlas-search input:focus-visible { + outline: none; +} +.result-count { + font-family: var(--mono); + font-size: 10px; + color: var(--muted); +} +.atlas-layout { + display: grid; + grid-template-columns: 180px 1fr; + gap: 40px; + padding-bottom: 80px; +} +.filters { + border-top: 1px solid var(--line); + padding-top: 21px; + align-self: start; + position: sticky; + top: 110px; +} +.filters .eyebrow { + margin-bottom: 13px; + color: var(--muted); +} +.filter-button { + display: flex; + justify-content: space-between; + align-items: center; + gap: 10px; + width: 100%; + padding: 10px 12px; + border: 0; + border-radius: 4px; + text-align: left; + background: transparent; + color: var(--muted); + font-size: 12px; + margin-block: 3px; +} +.filter-button[aria-pressed="true"] { + background: #2a3e26; + color: var(--green); +} +.filter-button:hover { + background: var(--pale); +} +.filter-button span:last-child { + font-family: var(--mono); + font-size: 9px; +} +.atlas-results { + border-top: 1px solid var(--line); +} +.atlas-row { + display: grid; + grid-template-columns: 1fr auto; + gap: 24px; + padding: 25px 20px; + border-bottom: 1px solid var(--line); + transition: background 0.2s; +} +.atlas-row:hover { + background: var(--pale); +} +.atlas-row h2 { + font-size: 21px; + letter-spacing: -0.04em; + line-height: 1.35; + overflow-wrap: anywhere; +} +.atlas-row p { + font-size: 12px; + margin-top: 8px; + max-width: 650px; +} +.atlas-row-meta { + display: flex; + gap: 15px; + margin-top: 13px; + font-family: var(--mono); + font-size: 9px; + color: var(--muted); +} +.atlas-row > span { + align-self: center; + font-size: 24px; +} +.empty-state { + padding: 60px 20px; +} +.empty-state h2 { + font-size: 30px; + margin-bottom: 14px; +} +.empty-state p { + font-size: 13px; +} +.empty-state button { + margin-top: 22px; +} +.reading-layout { + display: grid; + grid-template-columns: minmax(0, 1fr) 290px; + gap: 70px; + padding-bottom: 90px; +} +.reading-content { + min-width: 0; +} +.reading-section { + padding-block: 32px; + border-top: 1px solid var(--line); +} +.reading-section h2 { + font-size: 27px; + letter-spacing: -0.035em; + line-height: 1.2; + margin-bottom: 17px; +} +.reading-section > p { + font-size: 14px; + line-height: 1.85; + margin-block: 15px; + max-width: 730px; +} +.reading-section h3 { + font-size: 18px; + margin: 25px 0 13px; +} +.formula { + background: var(--pale); + padding: 27px; + border-left: 2px solid var(--green); + font-family: var(--serif); + font-size: 27px; + color: var(--green); + line-height: 1.5; + margin-block: 23px; +} +.formula small { + display: block; + font-family: var(--sans); + font-size: 11px; + color: var(--muted); + margin-top: 8px; +} +.reading-aside { + align-self: start; + position: sticky; + top: 112px; + background: var(--pale); + border: 1px solid var(--line); + border-radius: 6px; + padding: 25px; +} +.reading-aside .eyebrow { + color: var(--muted); +} +.metadata { + margin: 21px 0 24px; +} +.metadata > div { + padding-block: 13px; + border-bottom: 1px solid var(--line); +} +.metadata dt { + font-size: 10px; + color: var(--muted); + margin-bottom: 4px; +} +.metadata dd { + margin: 0; + font-size: 12px; + overflow-wrap: anywhere; +} +.reading-aside > a { + display: flex; + justify-content: space-between; + font-size: 12px; + margin-top: 15px; +} +.reading-aside > a:hover { + text-decoration: underline; +} +.reading-aside p { + font-size: 10px; + margin-top: 20px; + line-height: 1.8; +} +.variant-control { + display: flex; + flex-wrap: wrap; + gap: 13px; + align-items: center; + margin-top: 25px; + font-size: 11px; + color: var(--muted); +} +.variant-control select { + max-width: 100%; + padding: 10px; + border: 1px solid var(--line); + border-radius: 4px; + background: var(--surface); + color: var(--ink); + font-size: 11px; +} +.variant-tags { + display: flex; + flex-wrap: wrap; + gap: 6px; + margin-top: 18px; +} +.variant-tag { + border: 1px solid var(--line); + border-radius: 3px; + padding: 4px 8px; + font-family: var(--mono); + font-size: 9px; + color: var(--muted); +} +.relation-link { + display: block; + border: 1px solid var(--line); + border-radius: 5px; + padding: 17px; + margin-bottom: 10px; + background: var(--surface); + transition: border-color 0.2s; +} +.relation-link:hover { + border-color: #89a76e; +} +.relation-title { + display: flex; + align-items: center; + justify-content: space-between; + gap: 15px; + font-size: 13px; + font-weight: 500; +} +.relation-link p { + font-family: var(--mono); + font-size: 9px; + margin-top: 7px; + overflow-wrap: anywhere; +} +.relation-link .capability { + font-family: var(--sans); + font-size: 10px; +} +.schema-table { + width: 100%; + border-collapse: collapse; + font-size: 12px; +} +.schema-table th { + text-align: left; + font-size: 10px; + color: var(--muted); + font-weight: 400; + padding: 10px 10px 10px 0; + border-bottom: 1px solid var(--line); +} +.schema-table td { + padding: 13px 10px 13px 0; + vertical-align: top; + border-bottom: 1px solid var(--line); + overflow-wrap: anywhere; +} +.schema-table code { + font-size: 11px; + word-break: break-word; +} +.table-scroll { + overflow: auto; +} +.code-panel { + border: 1px solid var(--line); + background: var(--surface); + border-radius: 5px; + overflow: hidden; + margin-top: 20px; +} +.code-panel pre { + padding: 22px; +} +.evidence-grid { + display: grid; + grid-template-columns: 1fr 1fr; + gap: 12px; + margin-top: 25px; +} +.evidence-item { + border: 1px solid var(--line); + border-radius: 5px; + padding: 20px; +} +.evidence-item h3 { + font-size: 14px; + margin: 12px 0 7px; +} +.evidence-item p { + font-size: 11px; + line-height: 1.8; +} +.evidence-item .eyebrow { + font-size: 8px; +} +.evidence-item a { + display: inline-block; + font-size: 11px; + margin-top: 12px; + text-decoration: underline; + text-underline-offset: 4px; +} +.demo-panel { + border: 1px solid var(--line); + background: var(--pale); + border-radius: 6px; + overflow: hidden; + margin-top: 25px; +} +.demo-toolbar { + padding: 16px 20px; + display: flex; + justify-content: space-between; + align-items: center; + gap: 15px; + border-bottom: 1px solid var(--line); + font-size: 11px; +} +.segmented { + display: flex; + background: #111c14; + padding: 3px; + border-radius: 5px; +} +.segmented button { + border: 0; + background: transparent; + border-radius: 3px; + padding: 7px 12px; + font-size: 10px; +} +.segmented button[aria-pressed="true"] { + background: var(--green); + color: var(--on-accent); + box-shadow: 0 1px 4px #00000020; +} +.demo-panel svg { + display: block; + max-height: 290px; + width: 100%; + padding: 20px; +} +.demo-caption { + display: flex; + justify-content: space-between; + align-items: center; + gap: 15px; + padding: 16px 20px; + border-top: 1px solid var(--line); + font-size: 11px; + color: var(--muted); +} +.demo-caption strong { + color: var(--green); + font-weight: 500; +} +.notice { + font-size: 11px; + line-height: 1.85; + color: var(--muted); + border-left: 2px solid #799461; + padding-left: 15px; + margin-top: 24px; +} +.reading-content details { + border-bottom: 1px solid var(--line); + padding-block: 15px; +} +.reading-content summary { + cursor: pointer; + font-size: 13px; + font-weight: 500; +} +.reading-content details p { + font-size: 12px; + line-height: 1.9; + padding-block: 15px; +} +.page-enter { + animation: page-enter 0.3s ease-out; +} +@keyframes page-enter { + from { + opacity: 0.5; + transform: translateY(6px); + } + to { + opacity: 1; + transform: translateY(0); + } +} +@media (min-width: 1600px) { + .hero { + min-height: 770px; + } + .hero h1 { + font-size: 91px; + } + .hero-graph { + height: 465px; + } +} +@media (max-width: 1100px) { + .wrap { + width: calc(100% - 64px); + } + .header-inner { + height: 74px; + } + .site-header nav { + gap: 20px; + } + .wordmark { + font-size: 17px; + } + .search-trigger kbd { + margin-left: 4px; + } + .hero { + gap: 18px; + min-height: 620px; + padding-block: 60px; + } + .hero h1 { + font-size: 66px; + } + .hero-graph { + height: 380px; + } + .hero-description { + font-size: 14px; + } + .hero-footnote { + font-size: 9px; + } + .hero-actions { + gap: 18px; + } + .graph-feature { + left: 2%; + right: 0; + padding: 14px; + } + .graph-feature strong { + font-size: 10px; + } + .section-heading { + gap: 50px; + } + .reading-layout { + gap: 35px; + grid-template-columns: minmax(0, 1fr) 260px; + } + .infrastructure-section { + gap: 35px; + } + .site-footer > div:last-child { + gap: 15px; + } +} +@media (max-width: 800px) { + .header-inner { + width: calc(100% - 40px); + gap: 14px; + flex-wrap: wrap; + height: auto; + min-height: 108px; + padding-block: 16px; + row-gap: 15px; + } + .site-header nav { + order: 3; + width: 100%; + justify-content: center; + gap: 35px; + font-size: 12px; + } + .search-trigger { + margin-left: auto; + } + .search-trigger kbd { + display: none; + } + .wrap { + width: calc(100% - 48px); + } + .hero { + grid-template-columns: 1fr; + padding-block: 50px 40px; + gap: 50px; + } + .hero h1 { + font-size: 74px; + } + .hero h1 br.desktop-break { + display: none; + } + .hero-description { + font-size: 15px; + } + .hero-copy { + max-width: 600px; + } + .hero-footnote { + font-size: 10px; + } + .atlas-visual { + margin: 0; + max-width: 600px; + width: 100%; + justify-self: center; + } + .hero-graph { + height: 360px; + } + .graph-feature { + left: 15%; + right: 0; + } + .stats-bar { + grid-template-columns: repeat(3, 1fr); + gap: 20px 0; + } + .stats-bar > p { + grid-column: 1/-1; + display: flex; + gap: 5px; + } + .stats-bar > p br { + display: none; + } + .stats-bar > div { + padding-left: 20px; + } + .stats-bar > div:nth-child(2) { + border: 0; + padding-left: 0; + } + .stats-bar > a { + display: none; + } + .section { + padding-block: 65px; + } + .section-heading { + grid-template-columns: 1fr; + gap: 25px; + margin-bottom: 30px; + } + .section-heading > p, + .section-heading > div > p:not(.eyebrow) { + max-width: 550px; + } + .problem-showcase { + grid-template-columns: 1fr; + } + .problem-card + .problem-card { + border-left: 0; + border-top: 1px solid var(--line); + } + .problem-card { + padding: 25px; + display: grid; + grid-template-columns: 1fr 130px; + gap: 0 15px; + } + .problem-card .eyebrow, + .problem-card h3, + .problem-card p { + grid-column: 1; + } + .problem-card h3 { + font-size: 23px; + margin-top: 12px; + } + .problem-card .mini-art { + grid-column: 2; + grid-row: 1/4; + height: 120px; + align-self: center; + margin: 0; + } + .problem-card p { + min-height: 0; + } + .card-bottom { + grid-column: 1/-1; + margin-top: 20px; + } + .research-section { + padding-block: 65px; + } + .research-cycle { + grid-template-columns: 1fr 1fr; + margin-top: 35px; + } + .research-cycle article { + padding: 24px !important; + } + .research-cycle article:nth-child(odd) { + padding-left: 0 !important; + border-left: 0; + } + .research-cycle article:nth-child(n + 3) { + border-top: 1px solid #3a513d; + } + .research-note { + flex-wrap: wrap; + } + .research-note p { + flex: 1; + font-size: 11px; + } + .research-note a { + width: 100%; + margin-left: 18px; + } + .featured-result { + grid-template-columns: 1fr; + } + .featured-copy { + padding: 30px; + } + .featured-copy p { + max-width: 480px; + } + .complement-art { + border-left: 0; + border-top: 1px solid var(--line); + min-height: 230px; + } + .complement-art svg { + max-width: 550px; + } + .infrastructure-section { + grid-template-columns: 1fr; + gap: 35px; + padding-block: 15px 65px; + } + .terminal { + max-width: 600px; + } + .site-footer { + flex-direction: column; + align-items: flex-start; + } + .site-footer > div:last-child { + flex-wrap: wrap; + gap: 22px; + } + .atlas-layout { + grid-template-columns: 1fr; + gap: 20px; + } + .filters { + position: static; + display: flex; + flex-wrap: wrap; + gap: 6px; + } + .filters .eyebrow { + width: 100%; + margin-bottom: 5px; + } + .filter-button { + width: auto; + gap: 15px; + font-size: 11px; + border: 1px solid var(--line); + } + .reading-layout { + grid-template-columns: 1fr; + } + .reading-aside { + position: static; + order: -1; + padding: 20px; + } + .metadata { + display: flex; + flex-wrap: wrap; + gap: 12px 30px; + margin: 10px 0; + } + .metadata > div { + border: 0; + padding-block: 4px; + } + .reading-aside > a { + display: inline-flex; + gap: 20px; + margin: 10px 20px 0 0; + } + .reading-aside p { + margin-top: 12px; + } + .page-header { + padding-top: 40px; + } + .page-header h1 { + font-size: 48px; + } + .page-header > p:not(.eyebrow) { + font-size: 14px; + } + .atlas-controls { + align-items: flex-start; + flex-direction: column; + gap: 12px; + } + .atlas-search { + width: 100%; + } + .atlas-row { + padding-inline: 5px; + } + .section-bottom { + font-size: 10px; + } + .section-bottom .text-link { + font-size: 11px; + } + .desktop-break { + display: none; + } + html { + scroll-padding-top: 135px; + } +} +@media (max-width: 420px) { + .wrap { + width: calc(100% - 36px); + } + .header-inner { + width: calc(100% - 32px); + } + .wordmark { + font-size: 16px; + gap: 7px; + } + .wordmark .project-logo { + width: 208px; + } + .site-header nav { + gap: 25px; + font-size: 11px; + } + .search-trigger { + padding: 7px; + } + .search-trigger > span { + display: none; + } + .hero h1 { + font-size: 61px; + } + .announcement { + font-size: 8px; + gap: 8px; + } + .hero-description { + font-size: 14px; + } + .hero-actions { + gap: 20px; + } + .button { + padding: 11px 16px; + font-size: 12px; + } + .hero-actions .text-link { + font-size: 12px; + } + .hero-footnote { + font-size: 8px; + } + .hero-graph { + height: 310px; + } + .graph-feature { + left: 0; + } + .stats-bar > div strong { + font-size: 28px; + } + .stats-bar > div span { + font-size: 9px; + } + .problem-card { + grid-template-columns: 1fr 85px; + padding: 22px; + } + .problem-card h3 { + font-size: 21px; + } + .problem-card p { + font-size: 11px; + } + .research-cycle article { + padding: 22px 16px !important; + } + .research-cycle h3 { + font-size: 16px; + } + .research-cycle p { + font-size: 11px; + } + .cycle-artifact { + font-size: 7px; + } + .evidence-grid { + grid-template-columns: 1fr; + } + .demo-toolbar { + flex-direction: column; + align-items: flex-start; + } + .demo-caption { + align-items: flex-start; + flex-direction: column; + gap: 4px; + } + .section-bottom { + flex-direction: column; + gap: 10px; + } + .page-header h1 { + font-size: 40px; + } + .variant-control select { + width: 100%; + } + .formula { + font-size: 23px; + padding: 20px; + } +} +@media (prefers-reduced-motion: reduce) { + html { + scroll-behavior: auto; + } + *, + *::before, + *::after { + animation: none !important; + transition: none !important; + } +} diff --git a/docs/website/assets/site.js b/docs/website/assets/site.js new file mode 100644 index 000000000..c5875c11a --- /dev/null +++ b/docs/website/assets/site.js @@ -0,0 +1,719 @@ +/* The site is a static client of the same registry exports as the book and paper. */ +(() => { + "use strict"; + const data = window.REDUCTIONS; + const main = document.querySelector("main"); + const homeHTML = main.innerHTML; + const baseTitle = "Problem Reductions"; + const repo = "https://github.com/CodingThrust/problem-reductions"; + const categories = { + graph: "Graph theory", + formula: "Logic & formulas", + set: "Set systems", + algebraic: "Algebra", + misc: "Other structures", + }; + const aliases = { + MIS: "MaximumIndependentSet", + MVC: "MinimumVertexCover", + SAT: "Satisfiability", + "3SAT": "KSatisfiability", + "3-SAT": "KSatisfiability", + }; + let filter = "all"; + let query = ""; + let toastTimer; + let focusSearchAfterNavigation = false; + const escape = (value) => + String(value ?? "").replace( + /[&<>"']/g, + (c) => + ({ + "&": "&", + "<": "<", + ">": ">", + '"': """, + "'": "'", + })[c], + ); + const nameOf = (name) => + data.schemas.find((s) => s.name === name)?.display_name || + name + .replace(/([a-z0-9])([A-Z])/g, "$1 $2") + .replace(/([A-Z])([A-Z][a-z])/g, "$1 $2"); + const variantKey = (node) => + Object.entries(node.variant) + .sort(([a], [b]) => a.localeCompare(b)) + .map(([k, v]) => `${k}=${v}`) + .join(","); + const variantLabel = (node) => + Object.entries(node.variant) + .map(([k, v]) => `${k}: ${v}`) + .join(" · ") || "Default variant"; + const problemHref = (name, node) => + `#problem/${encodeURIComponent(name)}${node ? `?variant=${encodeURIComponent(variantKey(node))}` : ""}`; + const ruleHref = (edge) => + `#reduction/${encodeURIComponent(data.nodes[edge.source].name)}/${encodeURIComponent(data.nodes[edge.target].name)}?from=${encodeURIComponent(variantKey(data.nodes[edge.source]))}&to=${encodeURIComponent(variantKey(data.nodes[edge.target]))}`; + const schemaOf = (name) => data.schemas.find((s) => s.name === name); + const description = (name) => + schemaOf(name)?.description || + "Explore the registered variants, reduction contracts, and implementation of this computational problem."; + const apiHref = (path) => `./api/problemreductions/${path}`; + const moduleName = (edge) => edge.doc_path.split("/").at(-2); + const sourceHref = (edge) => `${repo}/blob/main/${edge.source_path}`; + const families = [...new Set(data.nodes.map((n) => n.name))].sort(); + const variantsOf = (name) => + data.nodes + .map((n, i) => ({ ...n, index: i })) + .filter((n) => n.name === name); + const edgesOf = (name) => + data.edges.filter( + (e) => + data.nodes[e.source].name === name || + data.nodes[e.target].name === name, + ); + const featuredEdge = data.edges.find( + (e) => + data.nodes[e.source].name === "MinimumVertexCover" && + data.nodes[e.target].name === "MaximumIndependentSet", + ); + + function notify(message) { + const toast = document.querySelector(".toast"); + toast.textContent = message; + toast.classList.add("visible"); + clearTimeout(toastTimer); + toastTimer = setTimeout(() => toast.classList.remove("visible"), 2800); + } + + function graphArt() { + const width = 630, + height = 430; + const highlights = { + MaximumIndependentSet: [310, 242, "Independent Set"], + MinimumVertexCover: [452, 155, "Vertex Cover"], + Satisfiability: [145, 162, "Satisfiability"], + KSatisfiability: [220, 74, "k-SAT"], + MaximumSetPacking: [449, 314, "Set Packing"], + QUBO: [158, 335, "QUBO"], + ILP: [330, 370, "ILP"], + Coloring: [92, 249, "Coloring"], + }; + const positions = {}; + families.forEach((name, i) => { + const angle = i * 2.39996323; + const radius = Math.sqrt((i + 1) / families.length); + positions[name] = highlights[name] || [ + 315 + Math.cos(angle) * radius * 287, + 218 + Math.sin(angle) * radius * 191, + ]; + }); + const seen = new Set(); + const lines = data.edges + .map((e) => { + const from = data.nodes[e.source].name, + to = data.nodes[e.target].name; + if (from === to) return ""; + const key = [from, to].sort().join("/"); + if (seen.has(key)) return ""; + seen.add(key); + const [x1, y1] = positions[from], + [x2, y2] = positions[to]; + const featured = + [from, to].includes("MinimumVertexCover") && + [from, to].includes("MaximumIndependentSet"); + return ``; + }) + .join(""); + const nodes = [...families] + .sort((a, b) => Number(!!highlights[a]) - Number(!!highlights[b])) + .map((name) => { + const [x, y] = positions[name]; + const isFocus = [ + "MaximumIndependentSet", + "MinimumVertexCover", + ].includes(name); + const label = highlights[name]?.[2]; + if (!label) + return `${escape(nameOf(name))}${label ? `${escape(label)}` : ""}`; + }) + .join(""); + return `${nodes}`; + } + + const cyclePoints = [ + [150, 35], + [231, 94], + [200, 190], + [100, 190], + [69, 94], + ]; + function cycleSVG(mode = "independent", labels = false) { + const selected = mode === "independent" ? [0, 2] : [1, 3, 4]; + return `${cyclePoints + .map(([x, y], i) => { + const next = cyclePoints[(i + 1) % cyclePoints.length]; + return ``; + }) + .join( + "", + )}${cyclePoints.map(([x, y], i) => `${labels ? `${i}` : ""}`).join("")}`; + } + + function complementArt() { + const graph = (offset, selected) => + `${cyclePoints.map(([x, y], i) => ``).join("")}${cyclePoints.map(([x, y], i) => ``).join("")}`; + return `${graph(15, [1, 3, 4])}${graph(305, [0, 2])}V ∖ SMinimum Vertex CoverMaximum Independent Set3 selected vertices2 selected vertices`; + } + + function miniArt(name) { + if (name === "MaximumIndependentSet") return cycleSVG(); + if (name === "Satisfiability") + return '(x₁ ∨ x₂ ∨ ¬x₃)∧(¬x₁ ∨ x₃ ∨ x₄)'; + return 'min xᵀQxx ∈ {0, 1}ⁿ'; + } + + function hydrateHome() { + document.querySelector("#hero-graph").innerHTML = graphArt(); + document.querySelector("#problem-showcase").innerHTML = [ + "MaximumIndependentSet", + "Satisfiability", + "QUBO", + ] + .filter((name) => families.includes(name)) + .map((name) => { + const variants = variantsOf(name); + return `${escape(categories[variants[0].category] || "COMPUTATIONAL PROBLEM").toUpperCase()}

${escape(nameOf(name))}

${escape(description(name))}.

${miniArt(name)}
${variants.length} variant${variants.length === 1 ? "" : "s"} · ${edgesOf(name).length} incident reductions
`; + }) + .join(""); + document.querySelector("#featured-art").innerHTML = complementArt(); + if (featuredEdge) { + document.querySelector("#featured-result-link").href = + ruleHref(featuredEdge); + document.querySelector(".graph-feature").href = ruleHref(featuredEdge); + } + } + + function atlasPage() { + main.innerHTML = /* HTML */ `
+
+ Home/The atlas +
+

THE EXECUTABLE ATLAS

+

Find your next connection.

+

+ Explore ${families.length} problem families and their implemented + reductions. Every connection has explicit variants, size bounds, and + code you can inspect. +

+
+ + Find a reduction path +
+
+
+ +
+
`; + renderResults(); + document + .querySelector("#atlas-search") + .addEventListener("input", (event) => { + query = event.target.value; + renderResults(); + }); + document.querySelectorAll("[data-filter]").forEach((button) => + button.addEventListener("click", () => { + filter = button.dataset.filter; + document + .querySelectorAll("[data-filter]") + .forEach((b) => b.setAttribute("aria-pressed", b === button)); + renderResults(); + }), + ); + } + + function renderResults() { + const search = query.trim().toLowerCase(); + const alias = aliases[query.trim().toUpperCase()] || ""; + const results = families.filter((name) => { + const schema = schemaOf(name); + return ( + (filter === "all" || variantsOf(name)[0].category === filter) && + (!search || + name === alias || + `${name} ${nameOf(name)} ${description(name)} ${(schema?.aliases || []).join(" ")}` + .toLowerCase() + .includes(search)) + ); + }); + document.querySelector(".result-count").textContent = + `${results.length} OF ${families.length} PROBLEM FAMILIES`; + document.querySelector("#atlas-results").innerHTML = results.length + ? results + .map((name) => { + const variants = variantsOf(name); + return `

${escape(nameOf(name))}

${escape(description(name))}

${escape(categories[variants[0].category] || variants[0].category)}${variants.length} variant${variants.length === 1 ? "" : "s"}${edgesOf(name).length} connections
`; + }) + .join("") + : `

No matching problems.

Try a broader term or explore another input structure.

`; + document.querySelector("#reset-search")?.addEventListener("click", () => { + query = ""; + filter = "all"; + atlasPage(); + document.querySelector("#atlas-search").focus(); + }); + } + + function relation(edge, currentIndex) { + const source = data.nodes[edge.source], + target = data.nodes[edge.target]; + const outgoing = edge.source === currentIndex; + const other = outgoing ? target : source; + return `
${outgoing ? "→ " : "← "}${escape(nameOf(other.name))}

${escape(variantLabel(other))}

${[edge.witness && "Witness recovery", edge.aggregate && "Aggregate value", edge.turing && "Turing reduction"].filter(Boolean).join(" · ") || "See reduction contract"}

`; + } + + function demoPanel() { + return `
Unit-weight example · five-vertex cycle
${cycleSVG("independent", true)}
No two selected vertices share an edge.Maximum size: 2
`; + } + + function bindDemo() { + document.querySelectorAll("[data-demo]").forEach((button) => + button.addEventListener("click", () => { + const mode = button.dataset.demo; + document + .querySelectorAll("[data-demo]") + .forEach((b) => b.setAttribute("aria-pressed", b === button)); + document.querySelector("#demo-graph").innerHTML = cycleSVG(mode, true); + document.querySelector("#demo-description").textContent = + mode === "independent" + ? "No two selected vertices share an edge." + : "Every edge touches a selected vertex."; + document.querySelector("#demo-value").textContent = + mode === "independent" ? "Maximum size: 2" : "Minimum size: 3"; + }), + ); + } + + function codePanel(command, label = "REPRODUCE IN YOUR TERMINAL") { + return `
${label}
${escape(command)}
`; + } + + function problemPage(name, params) { + const variants = variantsOf(name); + if (!variants.length) return notFound(); + const requested = params.get("variant"); + if ( + requested !== null && + !variants.some((n) => variantKey(n) === requested) + ) + return notFound(); + const node = + variants.find((n) => variantKey(n) === requested) || + variants.find( + (n) => n.variant.graph === "SimpleGraph" && n.variant.weight === "One", + ) || + variants[0]; + const schema = schemaOf(name); + const incoming = data.edges.filter((e) => e.target === node.index); + const outgoing = data.edges.filter((e) => e.source === node.index); + const mis = name === "MaximumIndependentSet"; + document.title = `${nameOf(name)} — ${baseTitle}`; + main.innerHTML = /* HTML */ `
+
+ Home/Atlas/${escape(nameOf(name))} +
+

+ ${escape(categories[node.category] || node.category).toUpperCase()} / + PROBLEM +

+

${escape(nameOf(name))}.

+

${escape(description(name))}.

+
+ +
+
+
+
+
+

+ ${mis ? "A simple question. A rich search space." : "The problem"} +

+ ${mis ? '

Given a graph G = (V, E), choose a set of vertices such that no two chosen vertices are adjacent. Maximize the total weight of the chosen vertices. With unit weights, this is the largest independent set.

maximize ∑ wᵥ xᵥsubject to xᵤ + xᵥ ≤ 1 for every edge (u, v), with xᵥ ∈ {0, 1}.
' : `

${escape(description(name))}. The fields below define the instance accepted by the implementation. Consult the paper for its mathematical definition and the API for its full contract.

`}${mis && node.variant.graph === "SimpleGraph" ? demoPanel() : ""} +
+
+

Connections for this variant

+

+ These are direct registered reductions for + ${escape(variantLabel(node))}. Changing the + variant can change which connections are available. +

+

+ Reduce this problem to + ${outgoing.length} +

+ ${outgoing.map((e) => relation(e, node.index)).join("") || '

No outgoing reduction is registered for this exact variant.

'} +

+ Reduce other problems here + ${incoming.length} +

+ ${incoming.map((e) => relation(e, node.index)).join("") || '

No incoming reduction is registered for this exact variant.

'} +
+
+

Instance structure

+ ${schema?.fields?.length ? `
${schema.fields.map((f) => ``).join("")}
FieldTypeMeaning
${escape(f.name)}${escape(f.type_name)}${escape(f.description)}
` : "

See the API reference for the instance schema.

"} +
+
+

Explore from your terminal

+ ${codePanel(`pred show ${name}`)} +

+ Install the CLI with + cargo install problemreductions-cli. The command + shows the problem catalog; reduction availability depends on the + selected variant. +

+
+
+ +
`; + document + .querySelector("#variant-select") + .addEventListener("change", (event) => { + const selected = variants.find( + (n) => variantKey(n) === event.target.value, + ); + location.hash = problemHref(name, selected); + }); + bindDemo(); + } + + function rulePage(sourceName, targetName, params) { + const edge = data.edges.find( + (e) => + data.nodes[e.source].name === sourceName && + data.nodes[e.target].name === targetName && + variantKey(data.nodes[e.source]) === (params.get("from") || "") && + variantKey(data.nodes[e.target]) === (params.get("to") || ""), + ); + if (!edge) return notFound(); + const source = data.nodes[edge.source], + target = data.nodes[edge.target]; + const complement = + ["MinimumVertexCover", "MaximumIndependentSet"].includes(sourceName) && + ["MinimumVertexCover", "MaximumIndependentSet"].includes(targetName) && + sourceName !== targetName; + const vcToMis = sourceName === "MinimumVertexCover"; + document.title = `${nameOf(sourceName)} → ${nameOf(targetName)} — ${baseTitle}`; + const capabilities = [ + edge.witness && "Witness recovery", + edge.aggregate && "Aggregate value", + edge.turing && "Turing reduction", + ] + .filter(Boolean) + .join(" · "); + const testCommand = edge.test_path + ? `cargo test --lib ${moduleName(edge)}` + : "cargo test --lib"; + main.innerHTML = /* HTML */ `
+
+ Home/Atlas/Reduction record +
+

+ ${complement ? "CLASSICAL CONSTRUCTION" : "REGISTERED CONSTRUCTION"} / + IMPLEMENTED +

+

+ ${escape(nameOf(sourceName))}
→ ${escape(nameOf(targetName))} +

+

+ ${complement ? "Keep the graph. Complement the solution. A foundational connection between two views of the same combinatorial structure." : "An executable construction connecting two concrete problem variants, with explicit size bounds and a recoverable contract."} +

+
+
+
+
+

The construction

+ ${complement ? `

The target uses the same graph and vertex weights. ${vcToMis ? "Solve Maximum Independent Set on that graph, then take the complement of its vertex selection to recover a minimum vertex cover." : "Solve Minimum Vertex Cover on that graph, then take the complement of its vertex selection to recover a maximum independent set."}

S ↔ V ∖ SA set is independent exactly when its complement is a vertex cover.

For weighted instances, the two objective values sum to the total vertex weight. Maximizing the independent-set weight therefore minimizes the complementary cover weight.

${demoPanel()}` : `

This rule maps ${escape(nameOf(sourceName))} to ${escape(nameOf(targetName))}. The implementation and paper describe the mapping, its preconditions, and solution extraction.

Read the construction ↗`} +
+
+

What the rule guarantees

+
+
+ SOURCE VARIANT +

${escape(nameOf(sourceName))}

+

${escape(variantLabel(source))}

+ Inspect source problem ↗ +
+
+ TARGET VARIANT +

${escape(nameOf(targetName))}

+

${escape(variantLabel(target))}

+ Inspect target problem ↗ +
+
+

Target size bounds

+
+ + + + + + + + + ${(edge.overhead || []).map((o) => ``).join("")} + +
Target parameterBound in source parameters
${escape(o.field)}${escape(o.formula)}
+
+

+ Registry overheads are asymptotic upper bounds. Read the + constructor for exact instance + sizes.${complement ? " This construction preserves the number of vertices and edges exactly." : ""} +

+
+
+

Follow the evidence

+

+ Implementation, mathematical reasoning, and test evidence are + distinct parts of the record. +

+
+
+ 01 / IMPLEMENTATION +

Executable Rust construction

+

+ Inspect the transformation and its extraction contract + directly. +

+ Read source ↗ +
+
+ 02 / MATHEMATICS +

Definitions and proof

+

+ Read the mathematical treatment in the project's compiled + paper. +

+ Open the paper ↗ +
+
+ 03 / REPRODUCIBILITY +

Inspect and run the tests

+

+ Tests exercise finite instances. This page does not report a + live test run. +

+ ${edge.test_path ? "Inspect test source" : "Browse the test suite"} + ↗ +
+
+ 04 / RESEARCH STATUS +

+ ${complement ? "Established mathematical result" : "Implemented in the library"} +

+

+ ${complement ? "This is a classical reduction, presented as an example of an inspectable result." : "Registration establishes implementation availability. It does not establish research novelty."} + Formal verification is not asserted. +

+
+
+ ${complement ? "
Why does complementation preserve optimality?

If S is independent, no edge has both endpoints in S, so every edge has an endpoint in V ∖ S. Conversely, if V ∖ S covers every edge, no edge can have both endpoints in S. Since w(S) + w(V ∖ S) = w(V), maximizing one objective minimizes the other.

" : ""} +
+
+

Reproduce the implementation checks

+

From a checkout of the repository:

+ ${codePanel(testCommand)} +

+ ${edge.test_path ? "The command filters library tests by the rule module." : "This rule uses shared test coverage; the command runs the library suite."} + Check the reported test count and results. Tests support the + implementation; they do not replace a general proof. +

+
+
+ +
`; + bindDemo(); + } + + function notFound() { + document.title = `Not found — ${baseTitle}`; + main.innerHTML = + '

RECORD NOT FOUND

This connection is not in the atlas.

The link may refer to a different registry version. Search the current atlas to find its available variants.

Explore the atlas →
'; + } + + function render() { + const hash = location.hash.slice(1) || "home"; + const [path, search = ""] = hash.split("?"); + let parts; + try { + parts = path.split("/").map(decodeURIComponent); + } catch { + notFound(); + return; + } + const params = new URLSearchParams(search); + const isHome = [ + "home", + "research", + "infrastructure", + "featured", + "connections", + "main", + ].includes(parts[0]); + document.title = `${baseTitle} — A new route through hard problems`; + if (isHome) { + main.innerHTML = homeHTML; + hydrateHome(); + } else if (parts[0] === "atlas") atlasPage(); + else if (parts[0] === "problem") problemPage(parts[1], params); + else if (parts[0] === "reduction") rulePage(parts[1], parts[2], params); + else notFound(); + document.querySelectorAll("[data-nav]").forEach((link) => { + const active = + link.dataset.nav === parts[0] || + (["problem", "reduction"].includes(parts[0]) && + link.dataset.nav === "atlas"); + if (active) link.setAttribute("aria-current", "page"); + else link.removeAttribute("aria-current"); + }); + main.classList.remove("page-enter"); + requestAnimationFrame(() => main.classList.add("page-enter")); + if (isHome && !["home", "main"].includes(parts[0])) + requestAnimationFrame(() => + document.getElementById(parts[0])?.scrollIntoView(), + ); + else window.scrollTo({ top: 0, behavior: "instant" }); + } + + function openSearch() { + if (location.hash !== "#atlas") { + focusSearchAfterNavigation = true; + location.hash = "atlas"; + } else document.querySelector("#atlas-search")?.focus(); + } + document + .querySelector(".search-trigger") + .addEventListener("click", openSearch); + document.addEventListener("keydown", (event) => { + const typing = + /INPUT|TEXTAREA|SELECT/.test(event.target.tagName) || + event.target.isContentEditable; + if ( + ((event.metaKey || event.ctrlKey) && event.key.toLowerCase() === "k") || + (event.key === "/" && !typing) + ) { + event.preventDefault(); + openSearch(); + } + }); + document.addEventListener("click", async (event) => { + const button = event.target.closest("[data-copy]"); + if (!button) return; + try { + await navigator.clipboard.writeText(button.dataset.copy); + notify("Command copied to clipboard"); + } catch { + notify("Select the command to copy it. Clipboard access is unavailable."); + } + }); + window.addEventListener("hashchange", () => { + render(); + if (focusSearchAfterNavigation) { + document.querySelector("#atlas-search")?.focus(); + focusSearchAfterNavigation = false; + } else { + main.focus({ preventScroll: true }); + } + }); + render(); +})(); diff --git a/docs/website/index.html b/docs/website/index.html new file mode 100644 index 000000000..f8e9dda7e --- /dev/null +++ b/docs/website/index.html @@ -0,0 +1,331 @@ + + + + + + + + + + + + Problem Reductions — A new route through hard problems + + + + + + + + +
+
+ + + +
+
+
+
+
+ TOWARD AUTONOMOUS DISCOVERY + +

+ A new route
through + hard
+ problems. +

+

+ An executable atlas of computational problems.
+ A foundation for AI agents to discover what connects them. +

+
+ Explore the atlas Inside the research +
+

+ Open source. + Executable mathematics. Inspectable evidence. +

+
+
+
+ THE REDUCTION ATLASPROBLEM OVERVIEW +
+
+
+ Implemented connectionsOpen atlas +
+ EXPLORE A REDUCTIONVertex Cover Independent + Set +
+
+
+

A growing body of
executable knowledge.

+
+ __PROBLEM_COUNT__Problem families +
+
+ __VARIANT_COUNT__Concrete variants +
+
+ __RULE_COUNT__Directed reductions +
+ Theory, constructions
& proofs + +
+
+
+
+

01 / THE ATLAS

+

One problem.
Many possibilities.

+
+

+ A different formulation can unlock a different solver. Explore the + connections, understand their cost, and follow the construction all + the way to code. +

+
+
+
+ Graph theory, logic, set systems, algebra, and beyond.Browse all problems +
+
+
+
+
+
+

02 / THE RESEARCH ENGINE

+

Knowledge that
builds on itself.

+
+
+

+ Our ambition is a continuous research loop: agents choose useful + questions, construct reductions, search for counterexamples, and + turn surviving ideas into reusable mathematics. +

+ RESEARCH DIRECTION +
+
+
+
+ 01 ↗ +

Find the frontier

+

+ Identify missing solver access, costly constructions, and + opportunities to improve the atlas. +

+ QUESTION + BASELINE +
+
+ 02 ↗ +

Build a hypothesis

+

+ Explore the literature. Propose a mapping, its assumptions, and + the claims it must satisfy. +

+ CONSTRUCTION + PROOF +
+
+ 03 ↗ +

Try to break it

+

+ Challenge the construction with independent implementations and + adversarial examples. +

+ TESTS + COUNTEREXAMPLES +
+
+ 04 ↺ +

Grow the atlas

+

+ Review the evidence. Integrate useful results and use what was + learned to guide the next question. +

+ REUSABLE KNOWLEDGE +
+
+
+ +

+ Built today: agent-assisted implementation and + review workflows. Next frontier: autonomous + question selection and persistent experiment records. +

+ Explore agent workflows +
+
+
+ +
+
+

04 / OPEN INFRASTRUCTURE

+

Give your research
a place to start.

+

+ Use the atlas from your terminal. Connect an agent.
Build on + the same models and constructions. +

+
+ Read the documentation View source +
+
+
+
+ YOUR NEXT CONNECTION +
+ 
# Install the research toolkit
+$ cargo install problemreductions-cli
+
+# Explore a problem
+$ pred show MIS
+
+# Search for a route to a solver
+$ pred path MIS ILP
+ Connect your agent with MCP +
+
+
+ +
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z7_bI5#=A!|J8RF0&C3SA>prLw`K{7axwwUHnu)H*eChcXynQr#t3W0r#U%`l&{>E! zzaR9qij>d~598JeX)!7o&HM4c2CL{vr*AnLn{1`yI)@i~~0VNBO7E zx%uo*=&k*W{~!bXf79jq?`@bv>Ea#TT^auvH1*Zpmo3MK1SA9nByLEhyw%)m`4B2i z#*BB}9{g^ku4`j=YJWV{D+~6&?n5TMfB;qPldJas7ysP>xd*pmZ%=WkBmjO0?{{iK Z0;s=Tzby06=MelOV1B{Iw8Z3k*dKceWQza* literal 0 HcmV?d00001 diff --git a/scripts/build_website.py b/scripts/build_website.py new file mode 100644 index 000000000..9a55a073a --- /dev/null +++ b/scripts/build_website.py @@ -0,0 +1,111 @@ +#!/usr/bin/env python3 +"""Overlay the product website on mdBook, using its generated registry exports.""" + +import argparse +import json +from pathlib import Path +import shutil +import xml.etree.ElementTree as ET + + +ROOT = Path(__file__).resolve().parents[1] + + +def build(output, graph_path, schemas_path): + graph = json.loads(graph_path.read_text()) + schemas = json.loads(schemas_path.read_text()) + nodes, edges = graph["nodes"], graph["edges"] + if not nodes or any( + not 0 <= edge[end] < len(nodes) + for edge in edges + for end in ("source", "target") + ): + raise ValueError("The atlas requires nodes and valid edge endpoints") + source = ROOT / "docs/website" + output.mkdir(parents=True, exist_ok=True) + shutil.copytree(source / "assets", output / "assets", dirs_exist_ok=True) + # Preserve the original artwork, adapting only its colors for the dark website. + logo = ET.parse(ROOT / "docs/logo.svg") + palette = { + "#5c6bc0": "#c4dda6", # Sage lettering, nodes, and outline. + "#ced3ec": "#243a28", # Forest polygon fill. + "#7d89cd": "#89a673", # Muted green graph edges. + "#4a569a": "#e8ede5", # Ivory numeral. + "#ffffff": "#101713", # Dark separation around nodes. + } + for element in logo.iter(): + for attribute in ("fill", "stroke"): + color = element.get(attribute) + if color in palette: + element.set(attribute, palette[color]) + ET.register_namespace("", "http://www.w3.org/2000/svg") + logo.write(output / "assets/logo.svg", encoding="unicode") + # Reuse the original logo's polygon as the small browser icon. + logo.getroot().set("viewBox", "0 0 107 107") + logo.getroot().set("width", "107") + logo.getroot().set("height", "107") + logo.write(output / "assets/favicon.svg", encoding="unicode") + # Keep mdBook's original introduction reachable from its sidebar and search. + # mdBook already emits introduction.html alongside its index.html alias. + html = (source / "index.html").read_text() + counts = { + "PROBLEM_COUNT": len({node["name"] for node in nodes}), + "VARIANT_COUNT": len(nodes), + "RULE_COUNT": len(edges), + } + for key, value in counts.items(): + html = html.replace(f"__{key}__", str(value)) + (output / "index.html").write_text(html) + # Some cast rules are covered by shared suites rather than a dedicated file. + # Only publish direct test links when the file actually exists. + site_edges = [] + for edge in edges: + module_path = edge["doc_path"].removesuffix("/index.html") + test_path = f"src/unit_tests/{module_path}.rs" + source_path = ( + "src/models/decision.rs" if module_path.startswith("models/") + else f"src/{module_path}.rs" + ) + if not (ROOT / source_path).is_file(): + raise ValueError(f"Missing reduction implementation: {source_path}") + # Rule modules are private; rustdoc publishes the shared public contracts. + contract = ( + "rules/enum.ReductionMode.html" if edge.get("turing") else + "rules/trait.ReduceTo.html" if edge.get("witness") else + "rules/trait.ReduceToAggregate.html" + ) + site_edges.append({ + **edge, + "source_path": source_path, + "api_path": contract, + "test_path": test_path if (ROOT / test_path).is_file() else None, + }) + # Decision is one generic Rust type, not a struct for every catalog name. + site_nodes = [{ + **node, + "api_path": ( + "models/decision/struct.Decision.html" + if node["name"].startswith("Decision") else node["doc_path"] + ), + } for node in nodes] + payload = json.dumps({**graph, "nodes": site_nodes, + "edges": site_edges, "schemas": schemas}, + ensure_ascii=True) + (output / "assets/atlas-data.js").write_text(f"window.REDUCTIONS = {payload};\n") + print(f"Built website in {output}: {counts['PROBLEM_COUNT']} families, " + f"{len(nodes)} variants, {len(edges)} directed reductions") + + +if __name__ == "__main__": + parser = argparse.ArgumentParser(description=__doc__) + parser.add_argument("--output", type=Path, default=ROOT / "book") + parser.add_argument("--graph", type=Path, + default=ROOT / "docs/src/reductions/reduction_graph.json") + parser.add_argument("--schemas", type=Path, + default=ROOT / "docs/src/reductions/problem_schemas.json") + args = parser.parse_args() + try: + build(args.output, args.graph, args.schemas) + except FileNotFoundError as error: + parser.exit(1, f"{error}\nGenerate atlas data with cargo run --example " + "export_graph and cargo run --example export_schemas first.\n") diff --git a/scripts/test_website.py b/scripts/test_website.py new file mode 100644 index 000000000..5d8e3f567 --- /dev/null +++ b/scripts/test_website.py @@ -0,0 +1,156 @@ +#!/usr/bin/env python3 +"""Browser checks against a built, served website (see docs/website/README.md).""" + +import os +import unittest +from urllib.parse import urljoin + +from playwright.sync_api import sync_playwright, expect + + +class WebsiteTests(unittest.TestCase): + @classmethod + def setUpClass(cls): + cls.playwright = sync_playwright().start() + cls.browser = cls.playwright.chromium.launch( + channel=os.environ.get("WEBSITE_BROWSER_CHANNEL") or None + ) + cls.base = os.environ.get("WEBSITE_BASE_URL", "http://127.0.0.1:3001/") + + @classmethod + def tearDownClass(cls): + cls.browser.close() + cls.playwright.stop() + + def setUp(self): + self.context = self.browser.new_context( + viewport={"width": 1440, "height": 1000}, + reduced_motion="reduce", + permissions=["clipboard-read", "clipboard-write"], + ) + self.page = self.context.new_page() + self.page.set_default_timeout(3000) + self.errors = [] + self.page.on("pageerror", lambda error: self.errors.append(str(error))) + + def tearDown(self): + self.context.close() + self.assertEqual(self.errors, [], "Uncaught browser errors") + + def visit(self, route="home"): + self.page.goto(self.base + "#" + route) + + def test_alias_search_and_reset(self): + self.visit("atlas") + self.page.locator("#atlas-search").fill("MIS") + expect(self.page.locator(".atlas-row")).to_have_count(1) + expect(self.page.locator(".atlas-row h2")).to_have_text("Maximum Independent Set") + self.page.locator('[data-filter="algebraic"]').click() + expect(self.page.locator(".empty-state")).to_be_visible() + self.page.get_by_role("button", name="Reset search and filters").click() + expect(self.page.locator("#atlas-search")).to_have_value("") + self.assertGreater(self.page.locator(".atlas-row").count(), 100) + + def test_search_text_cannot_inject_markup(self): + self.visit("atlas") + self.page.locator("#atlas-search").fill('') + self.page.locator('.wordmark').first.click() + self.page.locator('[data-nav="atlas"]').click() + expect(self.page.locator(".empty-state")).to_be_visible() + self.assertIsNone(self.page.evaluate("window.injected")) + self.assertEqual(self.page.locator("main img").count(), 0) + + def test_keyboard_search_from_home(self): + self.visit() + self.page.keyboard.press("Control+k") + expect(self.page.locator("#atlas-search")).to_be_focused() + self.page.keyboard.type("QUBO") + expect(self.page.locator(".atlas-row")).to_have_count(1) + + def test_variant_changes_connections_and_survives_reload(self): + self.visit("problem/MaximumIndependentSet") + expect(self.page.locator("#variant-select")).to_have_value("graph=SimpleGraph,weight=One") + expect(self.page.locator('.relation-link[href*="MinimumVertexCover"]')).to_have_count(0) + self.page.locator("#variant-select").select_option("graph=SimpleGraph,weight=i32") + expect(self.page.locator('.relation-link[href*="MinimumVertexCover"]')).to_have_count(2) + self.page.reload() + expect(self.page.locator("#variant-select")).to_have_value("graph=SimpleGraph,weight=i32") + + def test_reduction_evidence_and_complement_example(self): + self.visit() + self.page.locator("#featured-result-link").click() + expect(self.page.locator("h1")).to_contain_text("Minimum Vertex Cover") + expect(self.page.locator("#demo-value")).to_have_text("Maximum size: 2") + self.page.get_by_role("button", name="Vertex cover", exact=True).click() + expect(self.page.locator("#demo-value")).to_have_text("Minimum size: 3") + expect(self.page.locator('#demo-graph circle[data-selected="true"]')).to_have_count(3) + self.page.get_by_role("button", name="Independent set", exact=True).click() + expect(self.page.locator('#demo-graph circle[data-selected="true"]')).to_have_count(2) + self.page.get_by_text("Why does complementation preserve optimality?").click() + expect(self.page.locator("details")).to_have_attribute("open", "") + source = self.page.get_by_role("link", name="Inspect source problem") + source.click() + expect(self.page.locator("#variant-select")).to_have_value("graph=SimpleGraph,weight=i32") + + def test_clipboard(self): + self.visit() + self.page.get_by_role("button", name="Copy installation command").click() + expect(self.page.locator(".toast")).to_have_text("Command copied to clipboard") + self.assertEqual(self.page.evaluate("navigator.clipboard.readText()"), + "cargo install problemreductions-cli") + + def test_unknown_record_has_recovery(self): + self.visit("problem/NotARegisteredProblem") + expect(self.page.get_by_text("This connection is not in the atlas.")).to_be_visible() + self.page.locator("main .button").click() + expect(self.page.locator("#atlas-search")).to_be_visible() + + def test_decision_wrapper_links_to_its_public_api(self): + self.visit("problem/DecisionMinimumVertexCover") + api = self.page.get_by_role("link", name="API reference", exact=False) + self.assertTrue(api.get_attribute("href").endswith( + "models/decision/struct.Decision.html" + )) + response = self.page.request.get(urljoin(self.page.url, api.get_attribute("href"))) + self.assertEqual(response.status, 200) + + def test_reduction_links_to_a_published_api_contract(self): + self.visit() + self.page.locator("#featured-result-link").click() + contract = self.page.get_by_role("link", name="API contract", exact=False) + response = self.page.request.get(urljoin(self.page.url, contract.get_attribute("href"))) + self.assertEqual(response.status, 200) + + def test_research_anchor_and_back_navigation(self): + self.visit("atlas") + self.page.locator('[data-nav="research"]').click() + expect(self.page.locator("#research")).to_be_in_viewport() + self.page.go_back() + expect(self.page.locator("#atlas-search")).to_be_visible() + + def test_legacy_documentation_is_reachable(self): + self.visit() + self.page.locator(".docs-nav").click() + self.assertTrue(self.page.url.endswith("/cli.html")) + expect(self.page.get_by_role("heading", name="CLI Tool", exact=True)).to_be_visible() + self.assertNotIn("{{#include", self.page.locator("body").inner_text()) + + +def responsive_check(width): + def test(self): + self.page.set_viewport_size({"width": width, "height": 900}) + for route in ["home", "atlas", "problem/MaximumIndependentSet"]: + with self.subTest(route=route): + self.visit(route) + self.assertFalse(self.page.evaluate( + "document.documentElement.scrollWidth > innerWidth" + ), f"Horizontal overflow at {width}px on {route}") + return test + + +for viewport in [320, 390, 768, 1440]: + setattr(WebsiteTests, f"test_responsive_{viewport}", responsive_check(viewport)) + + +if __name__ == "__main__": + unittest.main(verbosity=2) From 0612a6829d076e01f2356a6f7f8bd83842777052 Mon Sep 17 00:00:00 2001 From: GiggleLiu Date: Mon, 7 Sep 2026 01:28:57 +0800 Subject: [PATCH 2/2] Organize agent documentation and add a real CLI showcase --- book.toml | 6 +- docs/src/SUMMARY.md | 56 +- docs/src/agent-find-problem.md | 29 + docs/src/agent-find-solver.md | 26 + docs/src/agent-pipeline.md | 31 + docs/src/agent-propose.md | 24 + docs/src/api.md | 10 +- docs/src/cli-automation.md | 37 + docs/src/cli-catalog.md | 22 + docs/src/cli-completions.md | 16 + docs/src/cli-create.md | 26 + docs/src/cli-demo.md | 35 + docs/src/cli-examples.md | 42 + docs/src/cli-inspect.md | 31 + docs/src/cli-paths.md | 34 + docs/src/cli-random.md | 13 + docs/src/cli-reduce.md | 31 + docs/src/cli-solve.md | 37 + docs/src/cli-variants.md | 20 + docs/src/cli.md | 446 +--- docs/src/contributing.md | 15 + docs/src/design-paths.md | 32 + docs/src/design-problem.md | 23 + docs/src/design-reductions.md | 36 + docs/src/design-serialization.md | 14 + docs/src/design-variant-registration.md | 66 + docs/src/design-variants.md | 33 + docs/src/design.md | 332 +-- docs/src/getting-started.md | 208 +- docs/src/install.md | 29 + docs/src/introduction.md | 90 +- docs/src/mcp-tools.md | 31 + docs/src/mcp-walkthrough.md | 30 + docs/src/mcp.md | 112 +- docs/src/reduction-graph.md | 35 + docs/src/rust-paths.md | 35 + docs/src/rust-reduction.md | 30 + docs/src/rust-solvers.md | 27 + docs/src/skills.md | 37 +- docs/src/static/asciinema-player-LICENSE | 201 ++ docs/src/static/cli-demo.cast | 267 +++ docs/src/static/cli-demo.html | 2404 ++++++++++++++++++++++ docs/src/static/docs-theme.css | 362 ++++ docs/src/static/docs-theme.js | 125 ++ docs/website/README.md | 48 + docs/website/assets/site.css | 115 +- docs/website/assets/site.js | 37 +- docs/website/cli-preview.png | Bin 0 -> 247510 bytes docs/website/docs-preview.png | Bin 0 -> 196748 bytes docs/website/index.html | 40 +- docs/website/preview.png | Bin 295229 -> 291665 bytes scripts/build_website.py | 65 + scripts/test_documentation.py | 154 ++ scripts/test_website.py | 6 +- 54 files changed, 4717 insertions(+), 1294 deletions(-) create mode 100644 docs/src/agent-find-problem.md create mode 100644 docs/src/agent-find-solver.md create mode 100644 docs/src/agent-pipeline.md create mode 100644 docs/src/agent-propose.md 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100644 docs/src/reduction-graph.md create mode 100644 docs/src/rust-paths.md create mode 100644 docs/src/rust-reduction.md create mode 100644 docs/src/rust-solvers.md create mode 100644 docs/src/static/asciinema-player-LICENSE create mode 100644 docs/src/static/cli-demo.cast create mode 100644 docs/src/static/cli-demo.html create mode 100644 docs/src/static/docs-theme.css create mode 100644 docs/src/static/docs-theme.js create mode 100644 docs/website/cli-preview.png create mode 100644 docs/website/docs-preview.png create mode 100644 scripts/test_documentation.py diff --git a/book.toml b/book.toml index bda4b2cf9..5c64bdbd7 100644 --- a/book.toml +++ b/book.toml @@ -9,9 +9,9 @@ src = "docs/src" default-theme = "navy" git-repository-url = "https://github.com/CodingThrust/problem-reductions" edit-url-template = "https://github.com/CodingThrust/problem-reductions/edit/main/{path}" -additional-css = ["docs/src/static/theme-images.css", "docs/src/static/reduction-graph.css", "docs/src/static/module-graph.css"] -additional-js = ["docs/src/static/cytoscape.min.js", "docs/src/static/reduction-graph.js", "docs/src/static/module-graph.js"] -no-section-label = false +additional-css = ["docs/src/static/docs-theme.css", "docs/src/static/theme-images.css", "docs/src/static/reduction-graph.css", "docs/src/static/module-graph.css"] +additional-js = ["docs/src/static/docs-theme.js", "docs/src/static/cytoscape.min.js", "docs/src/static/reduction-graph.js", "docs/src/static/module-graph.js"] +no-section-label = true [output.html.fold] enable = true diff --git a/docs/src/SUMMARY.md b/docs/src/SUMMARY.md index 35b5a14fa..c9ce4eece 100644 --- a/docs/src/SUMMARY.md +++ b/docs/src/SUMMARY.md @@ -1,18 +1,54 @@ # Summary -[Introduction](./introduction.md) +[Overview](introduction.md) -# User Guide +# Start here -- [CLI Tool](./cli.md) -- [AI Agent Skills](./skills.md) +- [CLI in action](cli-demo.md) +- [Start with an agent](skills.md) +- [Install the CLI](install.md) +- [First solve](cli.md) -# Rust Library +# Agent workflows -- [Getting Started](./getting-started.md) -- [Design](./design.md) -- [API Reference](./api.md) +- [Find a solver](agent-find-solver.md) +- [Extend a solver's reach](agent-find-problem.md) +- [Propose a model or rule](agent-propose.md) +- [Implement and review](agent-pipeline.md) +- [Connect with MCP](mcp.md) + - [Tool reference](mcp-tools.md) + - [Example session](mcp-walkthrough.md) -# Reference +# CLI reference -- [MCP Server](./mcp.md) +- [Explore the catalog](cli-catalog.md) +- [Names and variants](cli-variants.md) +- [Find reduction paths](cli-paths.md) +- [Create an instance](cli-create.md) + - [Input examples](cli-examples.md) + - [Random instances](cli-random.md) +- [Inspect and evaluate](cli-inspect.md) +- [Reduce an instance](cli-reduce.md) +- [Solve an instance](cli-solve.md) +- [JSON and automation](cli-automation.md) +- [Shell completions](cli-completions.md) + +# Rust library + +- [First Rust program](getting-started.md) +- [Apply a reduction](rust-reduction.md) +- [Discover and execute paths](rust-paths.md) +- [Solver contracts](rust-solvers.md) +- [API reference](api.md) + +# Internals + +- [Architecture](design.md) +- [Problem contract](design-problem.md) +- [Variant system](design-variants.md) + - [Register variants](design-variant-registration.md) +- [Reduction contracts](design-reductions.md) +- [Path costs and overhead](design-paths.md) +- [JSON serialization](design-serialization.md) +- [Reduction graph](reduction-graph.md) +- [Contributing](contributing.md) diff --git a/docs/src/agent-find-problem.md b/docs/src/agent-find-problem.md new file mode 100644 index 000000000..8b5feff57 --- /dev/null +++ b/docs/src/agent-find-problem.md @@ -0,0 +1,29 @@ +# Extend a solver's reach + +Find source problems that can reduce to a solver you already have. + +**Before you start:** complete [agent setup](skills.md). Specify the solver's accepted model, topology, weights, and practical size limit. + +## Prompt + +```text +Read .claude/skills/find-problem/SKILL.md and follow it. +My solver accepts: [exact model and variant]. +Its time complexity and practical size limit: [details]. +Find incoming reduction routes and rank useful source problems. +Show the assumptions and composed size overhead for each recommendation. +Write the findings to docs/solutions/. +``` + +## Check the direction + +A solver for a target can handle sources that reduce **to** it. For example: + +```bash +pred to QUBO +pred path MIS QUBO +``` + +A route in the opposite direction does not establish that capability. Confirm each candidate's exact variants and measure the constructed target size on a small instance. + +Next: [reduce an instance](cli-reduce.md). diff --git a/docs/src/agent-find-solver.md b/docs/src/agent-find-solver.md new file mode 100644 index 000000000..1e54b9b82 --- /dev/null +++ b/docs/src/agent-find-solver.md @@ -0,0 +1,26 @@ +# Find a solver + +Map a concrete problem to a library model and a usable solver route. + +**Before you start:** complete [agent setup](skills.md). Describe the inputs, constraints, objective, and expected instance sizes. + +## Prompt + +```text +Read .claude/skills/find-solver/SKILL.md and follow it. +My problem: [describe inputs, constraints, and objective]. +Typical size: [counts and ranges]. +Available solvers or hardware: [list, or no preference]. +Check the exact model variant and current reduction paths with pred. +Separate implemented routes from suggestions that need new work. +``` + +## Expected result + +A solution document in `docs/solutions/` with the proposed model, assumptions, reduction route, size overheads, and solver recommendation. + +## Check the recommendation + +Ask the agent to construct a small instance, solve it, and evaluate the recovered configuration on the original problem. If several models fit, resolve the modeling differences before scaling up. + +Next: [first solve](cli.md) or [inspect a route](cli-paths.md). diff --git a/docs/src/agent-pipeline.md b/docs/src/agent-pipeline.md new file mode 100644 index 000000000..7c3e757e6 --- /dev/null +++ b/docs/src/agent-pipeline.md @@ -0,0 +1,31 @@ +# Implement and review + +Move a prepared issue through the repository's agent workflow. These commands act on GitHub issues, project status, and pull requests; run them in a configured maintainer checkout. + +## Implement one issue + +```bash +make run-issue N=42 +``` + +Replace `42` with the issue number. The task follows `.claude/skills/issue-to-pr/SKILL.md`. Model and rule skills define the source, tests, examples, and paper changes required. + +To pick one eligible Ready issue from the project board: + +```bash +make run-pipeline +``` + +## Review one pull request + +```bash +make run-review N=570 +``` + +Replace `570` with the PR number. The review workflow checks structure, quality, and user-facing behavior, then moves the PR to Final review. Maintainer review controls acceptance. + +## Evidence to retain + +Keep the mathematical argument, constructor and adversarial checks, closed-loop tests, canonical example, and review findings with the work. A passing test suite is evidence for tested instances, not a proof for all inputs. + +For exact workflow rules, read [the repository instructions](https://github.com/CodingThrust/problem-reductions/blob/main/.claude/CLAUDE.md). diff --git a/docs/src/agent-propose.md b/docs/src/agent-propose.md new file mode 100644 index 000000000..c936b496c --- /dev/null +++ b/docs/src/agent-propose.md @@ -0,0 +1,24 @@ +# Propose a model or rule + +Turn a mathematical idea or published construction into a precise proposal for the atlas. + +**Before you start:** complete [agent setup](skills.md). Bring a definition, a source reference, or a candidate source → target connection. + +## Prompt + +```text +Read .claude/skills/propose/SKILL.md and follow it. +I want to propose: [model or source-to-target reduction]. +Reference or construction: [details]. +Check the current catalog for existing models and exact variant endpoints. +Clarify the objective, solution mapping, correctness argument, and overhead. +Prepare the proposal for the issue workflow. +``` + +## Expected result + +A model or rule proposal with explicit assumptions and enough mathematical detail to assess usefulness and correctness. The skill guides issue creation. + +For a rule, distinguish a construction supported by literature from a new conjecture. Record proof gaps and counterexamples explicitly. + +Next: [implementation and review](agent-pipeline.md) once the issue is ready. diff --git a/docs/src/api.md b/docs/src/api.md index 3025182bf..e534bb8d9 100644 --- a/docs/src/api.md +++ b/docs/src/api.md @@ -1,9 +1,7 @@ -# API Reference +# API reference - +[Browse the Rust API →](api/problemreductions/index.html) -Full API documentation is auto-generated from source code via `rustdoc`. +The API is generated from Rust source with rustdoc. Start with [models](api/problemreductions/models/index.html), [reduction contracts](api/problemreductions/rules/index.html), or [solvers](api/problemreductions/solvers/index.html). -**[Browse the API →](api/problemreductions/index.html)** - -If not redirected automatically, run `make doc` to generate the API docs. +Run `make doc` to build the guides and API locally. For short runnable examples, see [first Rust program](getting-started.md) and [apply a reduction](rust-reduction.md). diff --git a/docs/src/cli-automation.md b/docs/src/cli-automation.md new file mode 100644 index 000000000..b2624f6be --- /dev/null +++ b/docs/src/cli-automation.md @@ -0,0 +1,37 @@ +# JSON and automation + +Use structured output for agent tools and scripts. + +```bash +pred list --json +pred show MIS --json +pred path MIS QUBO --json +pred solve problem.json -o solution.json +``` + +| Global flag | Effect | +|---|---| +| `--json` | Request JSON output for data commands | +| `-o, --output ` | Save JSON to a file | +| `-q, --quiet` | Suppress informational messages on stderr | + +Check the process exit status before consuming a result. Preserve `type` and `variant` with each instance; an alias alone is insufficient to replay an exact endpoint. + +## Pipe instances + +```bash +pred create MIS --graph 0-1,1-2,2-3 | pred solve - --json +pred create MIS --graph 0-1,1-2,2-3 | pred reduce - --to QUBO | pred solve - --solver brute-force --json +``` + +`-` reads a problem or bundle from stdin. In shell automation, enable `set -o pipefail` so a failed earlier command fails the pipeline. + +## Registry exports + +```bash +pred export-graph -o reduction_graph.json +``` + +The docs build publishes [reduction_graph.json](reductions/reduction_graph.json) and [problem_schemas.json](reductions/problem_schemas.json). The graph includes exact variants, directed edges, capabilities, and symbolic overheads; schemas describe model fields. + +Use the [Markdown index](markdown/index.md) for task instructions and these JSON files for structured registry queries. The exports describe the website's build; local CLI output describes the installed version. diff --git a/docs/src/cli-catalog.md b/docs/src/cli-catalog.md new file mode 100644 index 000000000..47c53cb53 --- /dev/null +++ b/docs/src/cli-catalog.md @@ -0,0 +1,22 @@ +# Explore the catalog + +Use the installed registry to discover models, accepted fields, and reductions. + +```bash +pred list +pred show MIS +pred show MIS --json +``` + +`list` reports names and aliases. `show` describes the resolved variant, its size fields, input schema, and incoming/outgoing reductions. Use that schema before constructing an instance. + +
    +Example: inspect Maximum Independent Set + +```text +{{#include generated/pred-show-mis.txt}} +``` + +
    + +For machine-readable catalog data, use `pred list --json`. Use [names and variants](cli-variants.md) to select exact endpoints and [path queries](cli-paths.md) to explore their connections. diff --git a/docs/src/cli-completions.md b/docs/src/cli-completions.md new file mode 100644 index 000000000..a5ee8f3f5 --- /dev/null +++ b/docs/src/cli-completions.md @@ -0,0 +1,16 @@ +# Shell completions + +Enable tab completion by adding one line to your shell config: + +```bash +# bash (~/.bashrc) +eval "$(pred completions bash)" + +# zsh (~/.zshrc) +eval "$(pred completions zsh)" + +# fish (~/.config/fish/config.fish) +pred completions fish | source +``` + +If the shell argument is omitted, `pred completions` auto-detects your current shell. diff --git a/docs/src/cli-create.md b/docs/src/cli-create.md new file mode 100644 index 000000000..51318def0 --- /dev/null +++ b/docs/src/cli-create.md @@ -0,0 +1,26 @@ +# Create an instance + +**Input:** a model name or exact variant, plus fields from `pred show `. +**Output:** a JSON problem file containing `type`, `variant`, and `data`. + +```bash +pred create MIS --graph 0-1,1-2,2-3 -o problem.json +pred create MIS/SimpleGraph/i32 --graph 0-1,1-2,2-3 --weights 2,1,3,1 -o weighted.json +pred inspect weighted.json +``` + +Vertices use zero-based indices. `--graph` is a comma-separated edge list; weights must match the model's expected vertices or edges. + +## Use a canonical example + +```bash +pred create --example MIS/SimpleGraph/i32 -o model.json +pred create --example MVC/SimpleGraph/i32 --to MIS/SimpleGraph/i32 -o source.json +pred create --example MVC/SimpleGraph/i32 --to MIS/SimpleGraph/i32 --example-side target -o target.json +``` + +The first command loads a model fixture. The next two load the source and target of a documented reduction example. + +CLI fields follow schema names: `universe_size` becomes `--universe-size`, and `subsets` becomes `--subsets`. + +Next: [input examples](cli-examples.md), [random instances](cli-random.md), or [inspect and evaluate](cli-inspect.md). diff --git a/docs/src/cli-demo.md b/docs/src/cli-demo.md new file mode 100644 index 000000000..b7e90437e --- /dev/null +++ b/docs/src/cli-demo.md @@ -0,0 +1,35 @@ +# CLI in action + +From a graph to a checked solution in six commands. This recording runs the real CLI: discover a route, transform the instance, solve, and verify the result. + + + +[Open the player](static/cli-demo.html) · [Download the cast](static/cli-demo.cast) · [Download the offline HTML](static/cli-demo.html) + +## Run it yourself + +[Install `pred`](install.md), then run in a fresh directory. The recording uses `./pred`, a local build of the same executable. + +```bash +pred path MIS ILP +pred create MIS --graph 0-1,1-2,2-3,3-4,4-0 -o cycle.json +pred reduce cycle.json --to ILP -o reduced.json +pred solve reduced.json +pred evaluate cycle.json --config 1,0,1,0,0 +pred solve cycle.json --solver brute-force +``` + +## What to check + +The recorded route goes through Maximum Set Packing and a weight cast before reaching binary ILP. `reduced.json` preserves the source instance and path so the solver can recover a source solution. + +| Check | Recorded result | +|---|---| +| Solve the reduction bundle | `Max(2)`, configuration `[1,0,1,0,0]` | +| Evaluate that source configuration | `Max(2)` | +| Exhaustive source solve | `Max(2)`, configuration `[0,0,1,0,1]` | +| Command exit codes | All six returned `0` | + +Different configurations can have the same optimum. This cross-check validates this instance; a reduction's general correctness requires a mathematical argument. + +Next: [JSON output for agents](cli-automation.md) or [find another route](cli-paths.md). diff --git a/docs/src/cli-examples.md b/docs/src/cli-examples.md new file mode 100644 index 000000000..f2b9cf90b --- /dev/null +++ b/docs/src/cli-examples.md @@ -0,0 +1,42 @@ +# Input examples + +Create small instances for different input structures. Use `pred show ` for its schema and `pred create --help` for flag syntax. + +## Boolean formula + +```bash +pred create SAT --num-vars 3 --clauses '1,2;-1,3' -o sat.json +``` + +Clauses are separated by semicolons. Literals are signed, one-based variable indices; `-1` negates variable 1. + +## Quadratic matrix + +```bash +pred create QUBO --matrix '1,0.5;0.5,2' -o qubo.json +``` + +Semicolons separate rows; commas separate entries. + +## Set system + +```bash +pred create X3C --universe-size 6 --subsets '0,1,2;3,4,5;0,3,4' -o x3c.json +``` + +Subset elements use zero-based indices into the universe. + +## Integer factoring + +```bash +pred create Factoring --target 6 --m 2 --n 2 -o factoring.json +``` + +## Check an instance + +```bash +pred inspect sat.json +pred solve sat.json --solver brute-force +``` + +For other models, start from `pred create --example ` and inspect its fields. Brute-force cost is the product of variable domain sizes; use tiny examples. diff --git a/docs/src/cli-inspect.md b/docs/src/cli-inspect.md new file mode 100644 index 000000000..4dde633bd --- /dev/null +++ b/docs/src/cli-inspect.md @@ -0,0 +1,31 @@ +# Inspect and evaluate + +Use `inspect` to identify a problem file or reduction bundle. Use `evaluate` to check a specific configuration against the original instance. + +## Inspect a file + +```bash +pred create MIS --graph 0-1,1-2,2-3 -o problem.json +pred inspect problem.json +pred inspect problem.json --json +``` + +Inspect the resolved variant and sizes before choosing a solver. + +## Evaluate a configuration + +```bash +pred evaluate problem.json --config 1,0,1,0 +``` + +This selects vertices 0 and 2 and returns `Max(2)`. Selecting adjacent vertices is invalid and returns `Max(None)`. + +Configurations follow each problem's variable domains; they are not always binary. Check the model definition before constructing one. + +## Read from stdin + +```bash +pred create MIS --graph 0-1,1-2,2-3 | pred evaluate - --config 1,0,1,0 +``` + +Evaluation checks one candidate. It does not establish optimality; compare with [a solver](cli-solve.md). diff --git a/docs/src/cli-paths.md b/docs/src/cli-paths.md new file mode 100644 index 000000000..740350dc5 --- /dev/null +++ b/docs/src/cli-paths.md @@ -0,0 +1,34 @@ +# Find reduction paths + +Choose source and target [variants](cli-variants.md), then query their direction of reachability. + +```bash +pred path MIS ILP +pred from MIS +pred to QUBO +``` + +`from` explores outgoing routes; `to` explores incoming routes. `path` finds a route between the supplied endpoints. Search defaults to witness-capable reductions. + +## Save and compare routes + +```bash +pred path MIS QUBO -o path.json +pred path MIS QUBO --all --max-paths 50 +pred path MIS QUBO --cost minimize-steps +pred path MIS QUBO --cost minimize:num_variables +``` + +`--all` is capped (20 paths by default); inspect the truncation indicator. A saved single path can be used with `pred reduce --via path.json`. + +The default cost minimizes steps. Size-based costs use reduction overhead metadata; inspect available size fields with `pred show`. Overhead formulas describe scaling bounds, not exact constructed instance sizes. + +## Multi-step example + +```text +{{#include generated/pred-path-factoring-spinglass.txt}} +``` + +A discovered path does not imply the target will be inexpensive to solve. Measure the target size and solver behavior on representative instances. + +Next: [apply a path](cli-reduce.md) or [understand overhead](design-paths.md). diff --git a/docs/src/cli-random.md b/docs/src/cli-random.md new file mode 100644 index 000000000..c421a655c --- /dev/null +++ b/docs/src/cli-random.md @@ -0,0 +1,13 @@ +# Random instances + +Generate a small graph for exploration: + +```bash +pred create MIS --random --num-vertices 10 -o random.json +pred inspect random.json +pred solve random.json --solver brute-force +``` + +Use `pred create --help` for generation options supported by the current build. Random generation is available for selected input structures; it is not a constructor for every model. + +Save the generated JSON when reporting results so another agent can reproduce the exact instance. Use [canonical examples](cli-create.md#use-a-canonical-example) for stable demonstrations. diff --git a/docs/src/cli-reduce.md b/docs/src/cli-reduce.md new file mode 100644 index 000000000..48071c9a3 --- /dev/null +++ b/docs/src/cli-reduce.md @@ -0,0 +1,31 @@ +# Reduce an instance + +**Before you start:** [create a problem file](cli-create.md) and [find a route](cli-paths.md). + +## Choose a target + +```bash +pred reduce problem.json --to QUBO -o reduced.json +pred inspect reduced.json +``` + +The reduction bundle contains the source instance, target instance, and variant-level path. Keep the whole bundle to preserve solution recovery. + +## Use a saved path + +```bash +pred path MIS QUBO -o path.json +pred reduce problem.json --via path.json -o reduced.json +``` + +The path determines the target; `--to` is unnecessary. The input must match the path's source variant. For a weighted input, find a path from its exact weighted variant. + +## Solve and recover + +```bash +pred solve reduced.json --solver brute-force +``` + +The solver solves the target and maps the result back through the bundle. Keep targets small when using brute force. For JSON output, the `intermediate` field records the target result alongside the recovered source solution. + +Next: [solver options](cli-solve.md) or [pipeline commands](cli-automation.md). diff --git a/docs/src/cli-solve.md b/docs/src/cli-solve.md new file mode 100644 index 000000000..6afd49824 --- /dev/null +++ b/docs/src/cli-solve.md @@ -0,0 +1,37 @@ +# Solve an instance + +**Input:** a problem JSON file or a complete reduction bundle. +**Output:** the evaluation and, for witness-capable problems, a solution configuration. + +```bash +pred solve problem.json +pred solve problem.json --solver brute-force +pred solve problem.json --timeout 30 +pred solve problem.json -o solution.json +``` + +## Choose a solver + +| Solver | Behavior | +|---|---| +| `ilp` (default) | Finds a witness-capable ILP route, solves the target, and recovers a source configuration | +| `brute-force` | Enumerates configurations; use for tiny instances and cross-checks | +| `customized` | Uses exact backends for selected models; inspect `pred solve --help` for supported models | + +If ILP reports no route, inspect `pred path ILP` and try brute force on a small instance. A model's presence in the catalog does not guarantee every solver supports it. + +## Solve a bundle + +```bash +pred solve reduced.json --json +``` + +A bundle requires a witness-capable target and path. Its result includes the recovered source solution and the intermediate target result. + +Aggregate-only problems produce values without representative configurations. Do not assume every successful solve contains a witness. + +## Verify the result + +Evaluate the returned configuration on the original instance using `pred evaluate`. For a tiny example, compare its objective with an exhaustive solve. Different optimal configurations are acceptable when their evaluations agree. + +Next: [JSON and automation](cli-automation.md). diff --git a/docs/src/cli-variants.md b/docs/src/cli-variants.md new file mode 100644 index 000000000..0f8cce33f --- /dev/null +++ b/docs/src/cli-variants.md @@ -0,0 +1,20 @@ +# Names and variants + +Aliases such as `MIS` resolve to full problem names. A bare name selects that model's declared default variant; `MIS` resolves to `MaximumIndependentSet/SimpleGraph/One`. + +## Select an exact variant + +```bash +pred show MIS/SimpleGraph/i32 +pred path MIS/SimpleGraph/i32 ILP/bool +``` + +Slash-separated parameters select graph, weight, or other variant values. Use `pred list` and `pred show` to inspect the registry instead of guessing a variant. + +`One` means unit weights. Providing non-unit `--weights` when creating a default MIS instance upgrades it to `i32`. Specify `MIS/SimpleGraph/i32` explicitly when a reproducible endpoint matters. + +## Common aliases + +{{#include generated/pred-aliases.txt}} + +Next: [find a path](cli-paths.md). diff --git a/docs/src/cli.md b/docs/src/cli.md index e94f4456e..6a7282587 100644 --- a/docs/src/cli.md +++ b/docs/src/cli.md @@ -1,449 +1,25 @@ # CLI Tool -The `pred` command-line tool lets you explore the reduction graph, create problem instances, solve problems, and perform reductions — all from your terminal. +Create and solve your first problem with `pred`. [Install the CLI](install.md) before running these commands in a fresh working directory. -## Installation - -Install from crates.io: - -```bash -cargo install problemreductions-cli -``` - -Or build from source: +## Create a graph problem ```bash -git clone https://github.com/CodingThrust/problem-reductions -cd problem-reductions -cargo build -p problemreductions-cli --release # builds target/release/pred -cargo install --path problemreductions-cli # optional: installs `pred` to ~/.cargo/bin +pred create MIS --graph 0-1,1-2,2-3,3-4,4-0 -o cycle.json ``` -Verify the installation: - -```bash -pred --version -``` +`MIS` means Maximum Independent Set: select as many pairwise non-adjacent vertices as possible. This graph is a cycle with five vertices. -For a workspace-local run without installing globally, use: +## Solve and check ```bash -cargo run -p problemreductions-cli --bin pred -- --version -``` - -### ILP Backend - -The default ILP backend is HiGHS. To use a different backend: - -```bash -cargo install problemreductions-cli --features coin-cbc -cargo install problemreductions-cli --features scip -cargo install problemreductions-cli --no-default-features --features clarabel -``` - -Available backends: `highs` (default), `coin-cbc`, `clarabel`, `scip`, `lpsolve`, `microlp`. - -## Quick Start - -```bash -# Create a Maximum Independent Set problem -pred create MIS --graph 0-1,1-2,2-3 -o problem.json - -# Create a weighted instance (variant auto-upgrades to i32) -pred create MIS --graph 0-1,1-2,2-3 --weights 3,1,2,1 -o weighted.json - -# Create a Steiner Tree instance -pred create SteinerTree --graph 0-1,0-3,1-2,1-3,2-3,2-4,3-4 --edge-weights 2,5,2,1,5,6,1 --terminals 0,2,4 -o steiner.json - -# Create a Length-Bounded Disjoint Paths instance -pred create LengthBoundedDisjointPaths --graph 0-1,1-6,0-2,2-3,3-6,0-4,4-5,5-6 --source 0 --sink 6 --bound 4 -o lbdp.json - -# Create a Consecutive Block Minimization instance (alias: CBM) -pred create CBM --matrix '[[true,false,true],[false,true,true]]' --bound 2 -o cbm.json - -# CBM currently needs the brute-force solver -pred solve cbm.json --solver brute-force - -# Or start from a canonical model example -pred create --example MIS/SimpleGraph/i32 -o example.json - -# Or from a canonical rule example -pred create --example MVC/SimpleGraph/i32 --to MIS/SimpleGraph/i32 -o example.json - -# Inspect what's inside a problem file -pred inspect problem.json - -# Inspect the new path problem -pred inspect lbdp.json - -# Solve it (auto-reduces to ILP) -pred solve problem.json - -# Or solve with brute-force -pred solve problem.json --solver brute-force - -# LengthBoundedDisjointPaths currently needs brute-force -pred solve lbdp.json --solver brute-force - -# Evaluate a specific configuration (shows the aggregate value, e.g. Max(2) or Min(None)) -pred evaluate problem.json --config 1,0,1,0 - -# Reduce to another problem type and solve via brute-force -pred reduce problem.json --to QUBO -o reduced.json -pred solve reduced.json --solver brute-force - -# Pipe commands together (use - to read from stdin) -pred create MIS --graph 0-1,1-2,2-3 | pred solve - # when an ILP reduction path exists -pred create StringToStringCorrection --source-string "0,1,2,3,1,0" --target-string "0,1,3,2,1" --bound 2 | pred solve - --solver brute-force -pred create MIS --graph 0-1,1-2,2-3 | pred reduce - --to QUBO | pred solve - -``` - -> **Note:** When you provide `--weights` with non-unit values (e.g., `3,1,2,1`), the variant is -> automatically upgraded from the default unit-weight (`One`) to `i32`. You can also specify the -> weighted variant explicitly: `pred create MIS/SimpleGraph/i32 --graph 0-1 --weights 3,1`. - -## Global Flags - -| Flag | Description | -|------|-------------| -| `-o, --output ` | Save JSON output to a file | -| `--json` | Output JSON to stdout instead of human-readable text | -| `-q, --quiet` | Suppress informational messages on stderr | - -## Commands - -### `pred list` — List all problem types - -Lists all registered problem types with their short aliases. - -```text -{{#include generated/pred-list.txt}} -``` - -### `pred show` — Inspect a problem - -Show fields, size fields, and reductions for a problem's default variant. Use short aliases like `MIS` for `MaximumIndependentSet`. Use `pred to` or `pred from` for variant-level neighborhood exploration. - -```text -{{#include generated/pred-show-mis.txt}} +pred solve cycle.json +pred evaluate cycle.json --config 1,0,1,0,0 +pred solve cycle.json --solver brute-force ``` -### `pred to` — Explore incoming neighbors +Both solvers return `Max(2)`. The configuration `1,0,1,0,0` selects vertices 0 and 2 and evaluates to the same value. Several optimal configurations exist, so the solvers may return different selections. -Explore which problems can reduce **to** the given problem within k hops: +The default solver discovers a route to ILP and maps the solution back. Brute force checks all configurations; keep instances small. -```text -{{#include generated/pred-to-mis.txt}} -``` - -### `pred from` — Explore outgoing neighbors - -Explore which problems the given problem can reduce to, starting **from** it: - -```text -{{#include generated/pred-from-qubo.txt}} -``` - -### `pred path` — Find a reduction path - -Find the cheapest chain of reductions between two problems: - -```text -{{#include generated/pred-path-mis-qubo.txt}} -``` - -Multi-step paths are discovered automatically: - -```text -{{#include generated/pred-path-factoring-spinglass.txt}} -``` - -Show all paths or save for later use with `pred reduce --via`: - -```bash -pred path MIS QUBO --all # all paths (up to 20) -pred path MIS QUBO --all --max-paths 50 # increase limit -pred path MIS QUBO -o path.json # save path for `pred reduce --via` -pred path MIS QUBO --all -o paths/ # save all paths to a folder -``` - -When using `--all`, the output is capped at `--max-paths` (default: 20). If more paths exist, the output indicates truncation. - -Use `--cost` to change the optimization strategy: - -```bash -pred path MIS QUBO --cost minimize-steps # default -pred path MIS QUBO --cost minimize:num_variables # minimize a size field -``` - -Use `pred show ` to see which size fields are available. - -### `pred export-graph` — Export the reduction graph - -Export the full reduction graph as JSON: - -```bash -pred export-graph # print to stdout -pred export-graph -o reduction_graph.json # save to file -``` - -### `pred create` — Create a problem instance - -Construct a problem instance from CLI arguments and save as JSON: - -```bash -pred create --example MIS/SimpleGraph/i32 -o model.json -pred create --example MVC/SimpleGraph/i32 --to MIS/SimpleGraph/i32 -o problem.json -pred create --example MVC/SimpleGraph/i32 --to MIS/SimpleGraph/i32 --example-side target -o target.json -pred create MIS --graph 0-1,1-2,2-3 -o problem.json -pred create MIS --graph 0-1,1-2,2-3 --weights 2,1,3,1 -o problem.json -pred create SAT --num-vars 3 --clauses "1,2;-1,3" -o sat.json -pred create QUBO --matrix "1,0.5;0.5,2" -o qubo.json -pred create CBM --matrix '[[true,false,true],[false,true,true]]' --bound 2 -o cbm.json -pred create KColoring --k 3 --graph 0-1,1-2,2-0 -o kcol.json -pred create KthBestSpanningTree --graph 0-1,0-2,1-2 --edge-weights 2,3,1 --k 1 --bound 3 -o kth.json -pred create SpinGlass --graph 0-1,1-2 -o sg.json -pred create MaxCut --graph 0-1,1-2,2-0 -o maxcut.json -pred create MinMaxMulticenter --graph 0-1,1-2,2-3 --weights 1,1,1,1 --edge-weights 1,1,1 --k 2 -o pcenter.json -pred create ShortestWeightConstrainedPath --graph 0-1,0-2,1-3,2-3,2-4,3-5,4-5,1-4 --edge-lengths 2,4,3,1,5,4,2,6 --edge-weights 5,1,2,3,2,3,1,1 --source-vertex 0 --target-vertex 5 --weight-bound 8 -o swcp.json -pred create RectilinearPictureCompression --matrix "1,1,0,0;1,1,0,0;0,0,1,1;0,0,1,1" --k 2 -o rpc.json -pred solve rpc.json --solver brute-force -pred create MinimumMultiwayCut --graph 0-1,1-2,2-3,3-0 --terminals 0,2 --edge-weights 3,1,2,4 -o mmc.json -pred create SteinerTree --graph 0-1,0-3,1-2,1-3,2-3,2-4,3-4 --edge-weights 2,5,2,1,5,6,1 --terminals 0,2,4 -o steiner.json -pred create UndirectedTwoCommodityIntegralFlow --graph 0-2,1-2,2-3 --capacities 1,1,2 --source-1 0 --sink-1 3 --source-2 1 --sink-2 3 --requirement-1 1 --requirement-2 1 -o utcif.json -pred create LengthBoundedDisjointPaths --graph 0-1,1-6,0-2,2-3,3-6,0-4,4-5,5-6 --source 0 --sink 6 --bound 4 -o lbdp.json -pred create Factoring --target 15 --bits-m 4 --bits-n 4 -o factoring.json -pred create Factoring --target 21 --bits-m 3 --bits-n 3 -o factoring2.json -pred create X3C --universe 9 --sets "0,1,2;0,2,4;3,4,5;3,5,7;6,7,8;1,4,6;2,5,8" -o x3c.json -pred create MinimumCardinalityKey --num-attributes 6 --dependencies "0,1>2;0,2>3;1,3>4;2,4>5" -o mck.json -pred create MinimumTardinessSequencing --n 5 --deadlines 5,5,5,3,3 --precedence-pairs "0>3,1>3,1>4,2>4" -o mts.json -pred create SchedulingWithIndividualDeadlines --n 7 --deadlines 2,1,2,2,3,3,2 --num-processors 3 --precedence-pairs "0>3,1>3,1>4,2>4,2>5" -o swid.json -pred solve swid.json --solver brute-force -pred create SequencingToMinimizeWeightedCompletionTime --lengths 2,1,3,1,2 --weights 3,5,1,4,2 --precedence-pairs "0>2,1>4" -o stmwct.json -pred create StringToStringCorrection --source-string "0,1,2,3,1,0" --target-string "0,1,3,2,1" --bound 2 | pred solve - --solver brute-force -pred create StrongConnectivityAugmentation --arcs "0>1,1>2,2>0,3>4,4>3,2>3,4>5,5>3" --candidate-arcs "3>0:5,3>1:3,3>2:4,4>0:6,4>1:2,4>2:7,5>0:4,5>1:3,5>2:1,0>3:8,0>4:3,0>5:2,1>3:6,1>4:4,1>5:5,2>4:3,2>5:7,1>0:2" --bound 1 -o sca.json -``` - -For `LengthBoundedDisjointPaths`, the CLI flag `--bound` maps to the JSON field -`max_length`. - -For `ConsecutiveBlockMinimization`, the `--matrix` flag expects a JSON 2D bool array such as -`'[[true,false,true],[false,true,true]]'`. The example above shows the accepted shape, and solving -CBM instances currently requires `--solver brute-force`. - -For problem-specific create help, run `pred create ` with no additional flags. -The generic `pred create --help` output lists all flags across all problem types. - -Canonical examples are useful when you want a known-good instance from the paper/example database. -For model examples, `pred create --example ` emits the canonical instance for that -graph node. -For rule examples, `pred create --example --to ` emits the source -instance by default; use `--example-side target` to emit the reduction target instance instead. - -Generate random instances for graph-based problems: - -```bash -pred create MIS --random --num-vertices 10 --edge-prob 0.3 -pred create MIS --random --num-vertices 100 --seed 42 -o big.json -pred create MaxCut --random --num-vertices 20 --edge-prob 0.5 -o maxcut.json -``` - -Without `-o`, the problem JSON is printed to stdout, which can be piped to other commands: - -```bash -pred create MIS --graph 0-1,1-2,2-3 | pred solve - # when an ILP reduction path exists -pred create StringToStringCorrection --source-string "0,1,2,3,1,0" --target-string "0,1,3,2,1" --bound 2 | pred solve - --solver brute-force -pred create MIS --random --num-vertices 10 | pred inspect - -``` - -The output file uses a standard wrapper format: - -```json -{ - "type": "MaximumIndependentSet", - "variant": {"graph": "SimpleGraph", "weight": "i32"}, - "data": { ... } -} -``` - -#### Example: Bounded Component Spanning Forest - -`BoundedComponentSpanningForest` uses one component label per vertex in the -evaluation config. If the graph has `n` vertices and limit `k`, then -`--config` expects `n` comma-separated integers in `0..k-1`. - -```bash -pred create BoundedComponentSpanningForest \ - --graph 0-1,1-2,2-3,3-4,4-5,5-6,6-7,0-7,1-5,2-6 \ - --weights 2,3,1,2,3,1,2,1 \ - --k 3 \ - --bound 6 \ - -o bcsf.json - -pred evaluate bcsf.json --config 0,0,1,1,1,2,2,0 -pred solve bcsf.json --solver brute-force -``` - -The brute-force solver is required here because this model does not yet have an -ILP reduction path. - -### `pred evaluate` — Evaluate a configuration - -Evaluate a configuration against a problem instance: - -```text -{{#include generated/pred-evaluate.txt}} -``` - -Stdin is supported with `-`: - -```bash -pred create MIS --graph 0-1,1-2,2-3 | pred evaluate - --config 1,0,1,0 -``` - -### `pred inspect` — Inspect a problem file - -Show a summary of what's inside a problem JSON or reduction bundle: - -```bash -$ pred inspect problem.json -Type: MaximumIndependentSet {graph=SimpleGraph, weight=i32} -Size: 5 vertices, 5 edges -``` - -Works with reduction bundles and stdin: - -```bash -pred inspect bundle.json -pred create MIS --graph 0-1,1-2 | pred inspect - -``` - -### `pred reduce` — Reduce a problem - -Reduce a problem to a target type. Outputs a reduction bundle containing source, target, and path: - -```bash -pred reduce problem.json --to QUBO -o reduced.json -``` - -Use a specific reduction path (from `pred path -o`). The target is inferred from the path file, so `--to` is not needed: - -```bash -pred reduce problem.json --via path.json -o reduced.json -``` - -Stdin is supported with `-`: - -```bash -pred create MIS --graph 0-1,1-2,2-3 | pred reduce - --to QUBO -``` - -The bundle contains everything needed to map solutions back: - -```json -{ - "source": { "type": "MaximumIndependentSet", "variant": {...}, "data": {...} }, - "target": { "type": "QUBO", "variant": {...}, "data": {...} }, - "path": [ - {"name": "MaximumIndependentSet", "variant": {"graph": "SimpleGraph", "weight": "i32"}}, - {"name": "QUBO", "variant": {"weight": "f64"}} - ] -} -``` - -### `pred solve` — Solve a problem - -Solve a problem instance using ILP (default), brute-force, or the customized solver: - -```bash -pred solve problem.json # ILP solver (default) -pred solve problem.json --solver brute-force # brute-force solver -pred solve problem.json --solver customized # structure-exploiting exact solver -pred solve problem.json --timeout 30 # abort after 30 seconds -``` - -Stdin is supported with `-`: - -```bash -pred create MIS --graph 0-1,1-2,2-3 | pred solve - -pred create MIS --graph 0-1,1-2,2-3 | pred solve - --solver brute-force -pred create MinMaxMulticenter --graph 0-1,1-2,2-3 --weights 1,1,1,1 --edge-weights 1,1,1 --k 2 | pred solve - --solver brute-force -pred create TwoDimensionalConsecutiveSets --alphabet-size 6 --sets "0,1,2;3,4,5;1,3;2,4;0,5" | pred solve - --solver brute-force -``` - -Output is JSON. When the problem is not ILP, the solver automatically reduces it to ILP, solves, and maps the solution back: - -```json -{{#include generated/pred-solve-ilp.txt}} -``` - -Solve a reduction bundle (from `pred reduce`): - -```json -{{#include generated/pred-solve-bundle.txt}} -``` - -> **Note:** The ILP solver requires a reduction path from the target problem to ILP. -> Some problems do not currently have one. Examples include BoundedComponentSpanningForest, -> LengthBoundedDisjointPaths, MinimumCardinalityKey, QUBO, SpinGlass, MaxCut, CircuitSAT, MinMaxMulticenter, and MultiprocessorScheduling. -> Use `pred solve --solver brute-force` for these, or reduce to a problem that supports ILP first. -> For other problems, use `pred path ILP` to check whether an ILP reduction path exists. - -For example, the canonical Minimum Cardinality Key instance can be created and solved with: - -```bash -pred create MinimumCardinalityKey --num-attributes 6 --dependencies "0,1>2;0,2>3;1,3>4;2,4>5" -o mck.json -pred solve mck.json --solver brute-force -``` - -## Shell Completions - -Enable tab completion by adding one line to your shell config: - -```bash -# bash (~/.bashrc) -eval "$(pred completions bash)" - -# zsh (~/.zshrc) -eval "$(pred completions zsh)" - -# fish (~/.config/fish/config.fish) -pred completions fish | source -``` - -If the shell argument is omitted, `pred completions` auto-detects your current shell. - -## JSON Output - -All commands support `-o` to write JSON to a file and `--json` to print JSON to stdout: - -```bash -pred list -o problems.json # save to file -pred list --json # print JSON to stdout -pred show MIS --json # works on any command -pred path MIS QUBO --json -pred solve problem.json --json -``` - -This is useful for scripting and piping: - -```bash -pred list --json | jq '.variants[].name' -pred path MIS QUBO --json | jq '.path' -``` - -## Problem Name Aliases - -You can use short aliases instead of full problem names (shown in `pred list`): - -{{#include generated/pred-aliases.txt}} - -You can also specify variants with a slash: `MIS/UnitDiskGraph`, `SpinGlass/SimpleGraph`. - -When a bare name (no slash) is used in commands like `path`, `to`, `from`, `create`, or `reduce`, it resolves to the **declared default variant** for that problem type. For example, `MIS` resolves to `MaximumIndependentSet/SimpleGraph/One`. - -If you mistype a problem name, `pred` will suggest the closest match: - -```text -{{#include generated/pred-show-typo.txt}} -``` +Next: [watch the full run](cli-demo.md), [inspect the path](cli-paths.md), or [save a reduction bundle](cli-reduce.md). diff --git a/docs/src/contributing.md b/docs/src/contributing.md new file mode 100644 index 000000000..1c7eaa2ae --- /dev/null +++ b/docs/src/contributing.md @@ -0,0 +1,15 @@ +# Contributing + +Propose a model or reduction through the [agent proposal workflow](agent-propose.md), or use the repository's [issue templates](https://github.com/CodingThrust/problem-reductions/issues/new/choose). + +For implementation, read [AGENTS.md](https://github.com/CodingThrust/problem-reductions/blob/main/AGENTS.md) and the canonical `.claude/CLAUDE.md` instructions. Model and rule skills describe required code, tests, examples, and mathematical documentation. + +## What a rule contributes + +A useful rule includes exact endpoint variants, a construction, solution or value extraction, a correctness argument, and overhead metadata. Closed-loop tests and independently checked examples provide concrete evidence alongside the proof. + +## Authorship and license + +The project's authorship policy adds contributors of 10 non-trivial reduction rules to the [paper](reductions.pdf). The software is MIT licensed. + +Next: [implement and review](agent-pipeline.md). diff --git a/docs/src/design-paths.md b/docs/src/design-paths.md new file mode 100644 index 000000000..101cde4c6 --- /dev/null +++ b/docs/src/design-paths.md @@ -0,0 +1,32 @@ +# Path costs and overhead + +`ReductionGraph` searches a directed graph of exact `(name, variant)` pairs. Registered reductions carry capabilities; natural variant connections reflect graph and weight subtype relations. + +## Choose a cost + +| Cost | Purpose | +|---|---| +| `MinimizeSteps` | Fewest reduction steps | +| `Minimize("field")` | Cost based on an output size field | +| `CustomCost(closure)` | User-defined edge cost from overhead and current size | + +`find_cheapest_path` accepts source/target variant maps, an input `ProblemSize`, and a cost function. `find_all_paths` enumerates simple paths. Use bounded enumeration when exploring a large graph. + +## Interpret an overhead + +```rust,ignore +#[reduction(overhead = { + num_vars = "num_vertices + num_edges", + num_clauses = "3 * num_edges", +})] +``` + +Expressions refer to getters on the source type. The macro validates those names at compile time. The metadata describes scaling bounds; it does not promise exact target counts for each input. + +For a concrete instance, inspect the constructed target. For a chain, `path_overheads` returns each edge's expressions and `compose_path_overhead` substitutes them to obtain an end-to-end bound. + +## Keep costs separate from solve time + +A shorter route can produce a harder target. Compare target sizes and solver measurements as well as hop counts; do not present symbolic overheads as measured runtime. + +Next: [execute a path](rust-paths.md) or [download the graph](reductions/reduction_graph.json). diff --git a/docs/src/design-problem.md b/docs/src/design-problem.md new file mode 100644 index 000000000..1e5b25ca3 --- /dev/null +++ b/docs/src/design-problem.md @@ -0,0 +1,23 @@ +# Problem contract + +Every problem implements `Problem`. The associated `Value` type is the per-configuration aggregate returned by `evaluate()`. Solvers fold these values across the configuration space, and witness-capable aggregates can also recover representative configurations. + +```rust,ignore +trait Problem { + const NAME: &'static str; // e.g., "MaximumIndependentSet" + type Value: Clone; // e.g., Max, Or, Sum + fn dims(&self) -> Vec; // config space per variable + fn evaluate(&self, config: &[usize]) -> Self::Value; + fn variant() -> Vec<(&'static str, &'static str)>; // e.g., [("graph", "SimpleGraph"), ("weight", "i32")] + fn num_variables(&self) -> usize; // default: dims().len() + fn problem_type() -> ProblemType; // default: registry lookup by NAME +} +``` + +- **`Problem`** — the base trait. Every problem declares a `NAME` (e.g., `"MaximumIndependentSet"`). The solver explores the configuration space defined by `dims()` and scores each configuration with `evaluate()`. For example, a 4-vertex MIS has `dims() = [2, 2, 2, 2]` (each vertex is selected or not); `evaluate(&[1, 0, 1, 0])` returns `Max(Some(2))` if vertices 0 and 2 form an independent set, or `Max(None)` if they share an edge. Each problem also provides inherent getter methods (e.g., `num_vertices()`, `num_edges()`) used by reduction overhead expressions. +- **Witness-capable objective problems** — typically use `Max`, `Min`, or `Extremum` as `Value`. +- **Witness-capable feasibility problems** — typically use `Or`. +- **Aggregate-only problems** — use fold values such as `Sum` or `And`; these solve to a value but do not admit representative witness configurations. +- **Common aggregate wrappers** — `Max`, `Min`, `Sum`, `Or`, `And`, `Extremum`, `ExtremumSense`. + +Next: [variant registration](design-variant-registration.md). diff --git a/docs/src/design-reductions.md b/docs/src/design-reductions.md new file mode 100644 index 000000000..4141a9757 --- /dev/null +++ b/docs/src/design-reductions.md @@ -0,0 +1,36 @@ +# Reduction contracts + +A reduction connects exact source and target variants. Its contract determines how a result can be recovered. + +| Capability | Contract | Example | +|---|---|---| +| Witness | `ReduceTo` and `ReductionResult::extract_solution` | Solve a target, recover a source configuration | +| Aggregate | `ReduceToAggregate` and `AggregateReductionResult::extract_value` | Solve a target value, recover a source value | +| Turing | Multiple target queries | Optimize by querying a decision problem at several bounds | + +Search defaults to witness mode. Use `ReductionMode::Aggregate` or `ReductionMode::Turing` for the corresponding graph queries; do not replay those edges as a single witness mapping. + +## Register a witness reduction + +```rust,ignore +#[reduction(overhead = { + num_vertices = "num_vertices", + num_edges = "num_edges", +})] +impl ReduceTo> + for MaximumIndependentSet +{ + // Provide Result and reduce_to(); the result owns the target + // and maps a vertex-cover witness to its independent-set complement. +} +``` + +This is a schematic declaration. Read a [complete implementation](https://github.com/CodingThrust/problem-reductions/blob/main/src/rules/maximumindependentset_minimumvertexcover.rs) for the result type and constructor. + +The attribute requires overhead metadata and registers witness/configuration reductions. Aggregate and Turing edges currently use manual `ReductionEntry` registration. Keep one primitive registration for each exact endpoint pair. + +## Check correctness + +Prove that the construction and extraction preserve the required result. For a small witness example, solve source and target independently, extract the target solution, and compare its source evaluation with the direct optimum. + +Next: [overhead semantics](design-paths.md) or [implementation workflow](agent-pipeline.md). diff --git a/docs/src/design-serialization.md b/docs/src/design-serialization.md new file mode 100644 index 000000000..53f314ca5 --- /dev/null +++ b/docs/src/design-serialization.md @@ -0,0 +1,14 @@ +# JSON serialization + +All problem types support JSON serialization via serde: + +```rust,ignore +use problemreductions::io::{to_json, from_json}; + +let json: String = to_json(&problem)?; +let restored: MaximumIndependentSet = from_json(&json)?; +``` + +These helpers serialize typed Rust problem data. The CLI additionally wraps data with `type` and `variant` for dynamic loading. Keep that wrapper when passing files between CLI commands. + +Next: [CLI JSON and automation](cli-automation.md). diff --git a/docs/src/design-variant-registration.md b/docs/src/design-variant-registration.md new file mode 100644 index 000000000..851429d43 --- /dev/null +++ b/docs/src/design-variant-registration.md @@ -0,0 +1,66 @@ +# Register variants + +## VariantParam trait + +Each variant parameter type implements `VariantParam`, which declares its category, value, and optional parent: + +```rust,ignore +pub trait VariantParam: 'static { + const CATEGORY: &'static str; // e.g., "graph", "weight", "k" + const VALUE: &'static str; // e.g., "SimpleGraph", "i32" + const PARENT_VALUE: Option<&'static str>; // None for root types +} +``` + +Types with a parent also implement `CastToParent`, providing the runtime conversion for variant casts: + +```rust,ignore +pub trait CastToParent: VariantParam { + type Parent: VariantParam; + fn cast_to_parent(&self) -> Self::Parent; +} +``` + +## Registration with `impl_variant_param!` + +The `impl_variant_param!` macro implements `VariantParam` (and optionally `CastToParent` / `KValue`) for a type: + +```rust,ignore +// Root type (no parent): +impl_variant_param!(SimpleGraph, "graph"); + +// K root (arbitrary K): +impl_variant_param!(KN, "k", k: None); + +// Specific K with parent: +impl_variant_param!(K3, "k", parent: KN, cast: |_| KN, k: Some(3)); +``` + +## Variant cast reductions with `impl_variant_reduction!` + +When a more specific variant needs to be treated as a less specific one, an explicit variant cast reduction is declared: + +```rust,ignore +impl_variant_reduction!( + MaximumIndependentSet, + => , + fields: [num_vertices, num_edges], + |src| MaximumIndependentSet::new( + src.graph().cast_to_parent(), src.weights().to_vec()) +); +``` + +## Composing `Problem::variant()` + +The `variant_params!` macro composes the `Problem::variant()` body from type parameter names: + +```rust,ignore +// MaximumIndependentSet +fn variant() -> Vec<(&'static str, &'static str)> { + crate::variant_params![G, W] + // e.g., MaximumIndependentSet + // -> vec![("graph", "UnitDiskGraph"), ("weight", "One")] +} +``` + +Use `declare_variants!` in the model file to register concrete types and their dynamic load/serialize/solve metadata. See existing models and the [repository instructions](https://github.com/CodingThrust/problem-reductions/blob/main/.claude/CLAUDE.md) for the current macro contract. diff --git a/docs/src/design-variants.md b/docs/src/design-variants.md new file mode 100644 index 000000000..d177566a3 --- /dev/null +++ b/docs/src/design-variants.md @@ -0,0 +1,33 @@ +# Variant system + +A single problem name like `MaximumIndependentSet` can have multiple **variants** — carrying weights on vertices, or defined on a restricted topology (e.g., king's subgraph). Variants form a subtype hierarchy: independent sets on king's subgraphs are a subset of independent sets on unit-disk graphs. The reduction from a more specific variant to a less specific one is a **variant cast** — an identity mapping where indices are preserved. + +
    + +![Variant Hierarchy](static/variant-hierarchy.svg) + +
    +
    + +![Variant Hierarchy](static/variant-hierarchy-dark.svg) + +
    + +Variant types fall into three categories: + +- **Graph type** — `SimpleGraph` (root), `PlanarGraph`, `BipartiteGraph`, `UnitDiskGraph`, `KingsSubgraph`, `TriangularSubgraph`. +- **Weight type** — `One` (unweighted), `i32`, `f64`. +- **K value** — e.g., `K3` for 3-SAT, `KN` for arbitrary K. + +
    + +![Lattices](static/lattices.svg) + +
    +
    + +![Lattices](static/lattices-dark.svg) + +
    + +Next: [register variants](design-variant-registration.md). diff --git a/docs/src/design.md b/docs/src/design.md index 7f709edfc..203d7e52c 100644 --- a/docs/src/design.md +++ b/docs/src/design.md @@ -1,10 +1,19 @@ -# Design +# Architecture -This guide covers the library internals for contributors. +The Rust library stores problem definitions, executable reductions, and their registry metadata. The CLI and MCP server expose that core to tools and agents. -## Module Architecture +| Location | Responsibility | +|---|---| +| `src/models/` | Models grouped by graph, formula, set, algebraic, or miscellaneous input | +| `src/rules/` | Reduction implementations and solution/value mappings | +| `src/registry/` | Concrete variant metadata and dynamic dispatch | +| `src/solvers/` | Exhaustive, ILP, specialized, and decision-search solvers | +| `problemreductions-cli/` | CLI and optional MCP server | +| `src/example_db/` | Canonical model and rule examples | +| `src/unit_tests/` | Tests mirroring the source tree | + +## Module map -
    @@ -23,317 +32,4 @@ This guide covers the library internals for contributors.
    -## Problem Model - -Every problem implements `Problem`. The associated `Value` type is the per-configuration aggregate returned by `evaluate()`. Solvers fold these values across the configuration space, and witness-capable aggregates can also recover representative configurations. - -```rust,ignore -trait Problem: Clone { - const NAME: &'static str; // e.g., "MaximumIndependentSet" - type Value: Clone; // e.g., Max, Or, Sum - fn dims(&self) -> Vec; // config space per variable - fn evaluate(&self, config: &[usize]) -> Self::Value; - fn variant() -> Vec<(&'static str, &'static str)>; // e.g., [("graph", "SimpleGraph"), ("weight", "i32")] - fn num_variables(&self) -> usize; // default: dims().len() - fn problem_type() -> ProblemType; // default: registry lookup by NAME -} -``` - -- **`Problem`** — the base trait. Every problem declares a `NAME` (e.g., `"MaximumIndependentSet"`). The solver explores the configuration space defined by `dims()` and scores each configuration with `evaluate()`. For example, a 4-vertex MIS has `dims() = [2, 2, 2, 2]` (each vertex is selected or not); `evaluate(&[1, 0, 1, 0])` returns `Max(Some(2))` if vertices 0 and 2 form an independent set, or `Max(None)` if they share an edge. Each problem also provides inherent getter methods (e.g., `num_vertices()`, `num_edges()`) used by reduction overhead expressions. -- **Witness-capable objective problems** — typically use `Max`, `Min`, or `Extremum` as `Value`. -- **Witness-capable feasibility problems** — typically use `Or`. -- **Aggregate-only problems** — use fold values such as `Sum` or `And`; these solve to a value but do not admit representative witness configurations. -- **Common aggregate wrappers** — `Max`, `Min`, `Sum`, `Or`, `And`, `Extremum`, `ExtremumSense`. - -## Variant System - -A single problem name like `MaximumIndependentSet` can have multiple **variants** — carrying weights on vertices, or defined on a restricted topology (e.g., king's subgraph). Variants form a subtype hierarchy: independent sets on king's subgraphs are a subset of independent sets on unit-disk graphs. The reduction from a more specific variant to a less specific one is a **variant cast** — an identity mapping where indices are preserved. - -
    - -![Variant Hierarchy](static/variant-hierarchy.svg) - -
    -
    - -![Variant Hierarchy](static/variant-hierarchy-dark.svg) - -
    - -Variant types fall into three categories: - -- **Graph type** — `SimpleGraph` (root), `PlanarGraph`, `BipartiteGraph`, `UnitDiskGraph`, `KingsSubgraph`, `TriangularSubgraph`. -- **Weight type** — `One` (unweighted), `i32`, `f64`. -- **K value** — e.g., `K3` for 3-SAT, `KN` for arbitrary K. - -
    - -![Lattices](static/lattices.svg) - -
    -
    - -![Lattices](static/lattices-dark.svg) - -
    - -
    -Implementation details: VariantParam trait and macros - -### VariantParam trait - -Each variant parameter type implements `VariantParam`, which declares its category, value, and optional parent: - -```rust,ignore -pub trait VariantParam: 'static { - const CATEGORY: &'static str; // e.g., "graph", "weight", "k" - const VALUE: &'static str; // e.g., "SimpleGraph", "i32" - const PARENT_VALUE: Option<&'static str>; // None for root types -} -``` - -Types with a parent also implement `CastToParent`, providing the runtime conversion for variant casts: - -```rust,ignore -pub trait CastToParent: VariantParam { - type Parent: VariantParam; - fn cast_to_parent(&self) -> Self::Parent; -} -``` - -### Registration with `impl_variant_param!` - -The `impl_variant_param!` macro implements `VariantParam` (and optionally `CastToParent` / `KValue`) for a type: - -```rust,ignore -// Root type (no parent): -impl_variant_param!(SimpleGraph, "graph"); - -// K root (arbitrary K): -impl_variant_param!(KN, "k", k: None); - -// Specific K with parent: -impl_variant_param!(K3, "k", parent: KN, cast: |_| KN, k: Some(3)); -``` - -### Variant cast reductions with `impl_variant_reduction!` - -When a more specific variant needs to be treated as a less specific one, an explicit variant cast reduction is declared: - -```rust,ignore -impl_variant_reduction!( - MaximumIndependentSet, - => , - fields: [num_vertices, num_edges], - |src| MaximumIndependentSet::new( - src.graph().cast_to_parent(), src.weights().to_vec()) -); -``` - -### Composing `Problem::variant()` - -The `variant_params!` macro composes the `Problem::variant()` body from type parameter names: - -```rust,ignore -// MaximumIndependentSet -fn variant() -> Vec<(&'static str, &'static str)> { - crate::variant_params![G, W] - // e.g., MaximumIndependentSet - // -> vec![("graph", "UnitDiskGraph"), ("weight", "One")] -} -``` - -
    - -## Reduction Rules - -A reduction requires two pieces: a **result struct** and a **`ReduceTo` impl**. - -The result struct holds the target problem and the logic to map solutions back: - -```rust,ignore -#[derive(Debug, Clone)] -pub struct ReductionISToVC { - target: MinimumVertexCover, -} - -impl ReductionResult for ReductionISToVC { - type Source = MaximumIndependentSet; - type Target = MinimumVertexCover; - - fn target_problem(&self) -> &Self::Target { &self.target } - fn extract_solution(&self, target_sol: &[usize]) -> Vec { - target_sol.iter().map(|&x| 1 - x).collect() // complement - } -} -``` - -The `#[reduction]` attribute on the `ReduceTo` impl registers the reduction in the global registry (via `inventory`): - -```rust,ignore -#[reduction(overhead = { - num_vertices = "num_vertices", - num_edges = "num_edges", -})] -impl ReduceTo> - for MaximumIndependentSet -{ - type Result = ReductionISToVC; - fn reduce_to(&self) -> Self::Result { /* ... */ } -} -``` - -
    -What the #[reduction] macro generates - -The `#[reduction]` attribute expands to the original `impl` block plus an `inventory::submit!` call: - -```rust,ignore -inventory::submit! { - ReductionEntry { - source_name: "MaximumIndependentSet", - target_name: "MinimumVertexCover", - source_variant_fn: || as Problem>::variant(), - target_variant_fn: || as Problem>::variant(), - overhead_fn: || ReductionOverhead { - output_size: vec![ - ("num_vertices", Expr::Var("num_vertices")), - ("num_edges", Expr::Var("num_edges")), - ], - }, - module_path: module_path!(), - reduce_fn: |src: &dyn Any| -> Box { - let src = src.downcast_ref::>().unwrap(); - Box::new(ReduceTo::>::reduce_to(src)) - }, - } -} -``` - -Each `ReductionEntry` is collected by `inventory` at link time and iterated at runtime, making every reduction discoverable by `ReductionGraph` without manual registration. The `reduce_fn` field provides a type-erased executor that enables dynamically discovered paths to chain reductions automatically. - -
    - -## Reduction Graph - -`ReductionGraph::new()` iterates all registered `ReductionEntry` items (via `inventory`) and builds a variant-level directed graph: - -- **Nodes** are unique `(problem_name, variant)` pairs — e.g., `("MaximumIndependentSet", {graph: "KingsSubgraph", weight: "i32"})`. -- **Edges** come exclusively from `#[reduction]` registrations — both cross-problem reductions and variant casts. There are no auto-generated edges. - -Exported files: - -- [reduction_graph.json](reductions/reduction_graph.json) — all problem variants and reduction edges -- [problem_schemas.json](reductions/problem_schemas.json) — field definitions for each problem type - -These JSON assets are generated during `make doc`, `make mdbook`, and `make paper`; they are build artifacts, not committed source files. -Generate them manually with `cargo run --example export_graph` and `cargo run --example export_schemas` when you need the raw exports locally. - -### Path finding - -All path-finding operates on **exact variant nodes**. Use `ReductionGraph::variant_to_map(&T::variant())` to convert a `Problem::variant()` into the required `BTreeMap`. - -| Method | Algorithm | Use case | -|--------|-----------|----------| -| `find_cheapest_path(src, src_var, dst, dst_var, input_size, cost_fn)` | Dijkstra | Optimal path under a cost function | -| `find_all_paths(src, src_var, dst, dst_var)` | All simple paths | Enumerate every route | - -Use `find_cheapest_path` with `MinimizeSteps` for fewest-hops search. - -The `PathCostFn` trait (used by `find_cheapest_path`) computes edge cost from overhead and current problem size: - -| Cost function | Strategy | -|--------------|----------| -| `MinimizeSteps` | Minimize number of hops (unit edge cost) | -| `Minimize("field")` | Minimize a single output field (e.g., `Minimize("num_variables")`) | -| `CustomCost(closure)` | User-defined: `\|overhead: &ReductionOverhead, size: &ProblemSize\| -> f64` | - -`CustomCost` wraps a closure that receives the edge's `ReductionOverhead` (polynomial mapping from input to output size fields) and the current `ProblemSize` (accumulated field values at that point in the path), and returns an `f64` edge cost. Dijkstra minimizes the total cost along the path. - -**Example:** Finding a path from `MIS{KingsSubgraph, i32}` to `VC{SimpleGraph, i32}`: - -``` -MIS{KingsSubgraph,i32} -> MIS{UnitDiskGraph,i32} -> MIS{SimpleGraph,i32} -> VC{SimpleGraph,i32} - variant cast variant cast reduction -``` - -### Executable paths - -Convert a `ReductionPath` into a typed `ExecutablePath` via `make_executable()`, then call `reduce()`: - -```rust,ignore -// find_cheapest_path returns a ReductionPath (list of variant node IDs) -let rpath = graph.find_cheapest_path("Factoring", &src_var, - "SpinGlass", &dst_var, &ProblemSize::new(vec![]), &MinimizeSteps).unwrap(); - -// make_executable converts it into a typed, callable chain -let path = graph.make_executable::>(&rpath).unwrap(); - -// reduce() applies each step, returning a ChainedReduction -let reduction = path.reduce(&factoring_instance); -let target: &SpinGlass = reduction.target_problem(); -let solution: Vec = reduction.extract_solution(&target_solution); -``` - -`ExecutablePath` holds a type-erased `ReduceFn` per edge. `reduce()` applies them sequentially, producing a `ChainedReduction` that stores each intermediate result. `extract_solution` maps the final solution back through the chain in reverse order. - -For full type control, you can also chain `ReduceTo::reduce_to()` calls manually at each step. - -
    -Overhead evaluation - -Each reduction declares how the output problem size relates to the input, expressed as symbolic `Expr` expressions. The `#[reduction]` macro parses overhead strings at compile time: - -```rust,ignore -#[reduction(overhead = { - num_vars = "num_vertices + num_edges", - num_clauses = "3 * num_edges", -})] -impl ReduceTo for Source { ... } -``` - -Expressions support: constants, variables, `+`, `*`, `^`, `exp()`, `log()`, `sqrt()`. Each problem type provides inherent getter methods (e.g., `num_vertices()`, `num_edges()`) that the overhead expressions reference. - -`evaluate_output_size(input)` substitutes input values: - -``` -Input: ProblemSize { num_vertices: 10, num_edges: 15 } -Output: ProblemSize { num_vars: 25, num_clauses: 45 } -``` - -For multi-step paths, overhead composes: the output of step N becomes the input of step N+1. Variant cast edges use `ReductionOverhead::identity()`, passing through all fields unchanged. - -
    - -## Solvers - -Solvers implement the `Solver` trait: - -```rust,ignore -pub trait Solver { - fn solve

    (&self, problem: &P) -> P::Value - where - P: Problem, - P::Value: Aggregate; -} -``` - -| Solver | Description | -|--------|-------------| -| **BruteForce** | Enumerates all configurations. `solve()` works for any aggregate problem; `find_witness()`, `find_all_witnesses()`, and `solve_with_witnesses()` are available when `P::Value` supports witnesses. Used for testing and verification. | -| **ILPSolver** | Enabled by default. Solves ILP instances directly with HiGHS via `good_lp`. Also provides `solve_reduced()` for witness-capable problems that implement `ReduceTo>`. | - -## JSON Serialization - -All problem types support JSON serialization via serde: - -```rust,ignore -use problemreductions::io::{to_json, from_json}; - -let json: String = to_json(&problem)?; -let restored: MaximumIndependentSet = from_json(&json)?; -``` - -## Contributing - -See [Call for Contributions](./introduction.md#call-for-contributions) for the recommended issue-based workflow (no coding required). +Read the [problem contract](design-problem.md), [reduction contracts](design-reductions.md), and [variant system](design-variants.md) before extending the library. diff --git a/docs/src/getting-started.md b/docs/src/getting-started.md index 5afc10916..06f077157 100644 --- a/docs/src/getting-started.md +++ b/docs/src/getting-started.md @@ -1,206 +1,28 @@ -# Getting Started +# First Rust program -## What This Library Does - -**problem-reductions** transforms hard computational problems into forms that efficient solvers can handle. You define a problem, reduce it to another problem type (like QUBO or ILP), solve the reduced problem, and extract the solution back. The [interactive reduction graph](./introduction.html) shows all available problem types and transformations. - -## Installation +Add the library to a Rust project: ```bash cargo add problemreductions ``` -## The Reduction Workflow - -The core workflow is: **create** a problem, **reduce** it to a target, **solve** the target, and **extract** the solution back. - -

    - -![Reduction Workflow](static/reduction-workflow.svg) - -
    -
    - -![Reduction Workflow](static/reduction-workflow-dark.svg) - -
    - -### Example 1: Direct reduction — Set Packing to ILP +## Solve a small set-packing instance -Reduce Maximum Set Packing to Integer Linear Programming (ILP), solve with the -ILP solver, and extract the solution back. - -#### Step 1 — Create the source problem - -A small set system with pairwise overlaps gives a direct binary ILP. - -```rust,ignore +```rust use problemreductions::prelude::*; -use problemreductions::models::algebraic::ILP; -use problemreductions::solvers::ILPSolver; - -let problem = MaximumSetPacking::::new(vec![ - vec![0, 1], - vec![1, 2], - vec![2, 3], - vec![4, 5], -]); -``` - -#### Step 2 — Reduce to ILP - -`ReduceTo` applies a single-step reduction. The result holds the target -problem and knows how to map solutions back. The ILP formulation introduces -binary variable x_i for each set, constraint x_i + x_j ≤ 1 for each -overlapping pair, and maximizes the weighted sum. - -```rust,ignore -let reduction = ReduceTo::::reduce_to(&problem); -let ilp = reduction.target_problem(); -println!("ILP: {} variables, {} constraints", ilp.num_vars, ilp.constraints.len()); -``` - -```text -ILP: 4 variables, 2 constraints -``` - -#### Step 3 — Solve the ILP - -`ILPSolver` uses the HiGHS solver to find optimal solutions efficiently. -For small instances you can also use `BruteForce`, but `ILPSolver` scales -to much larger problems. - -```rust,ignore -let solver = ILPSolver::new(); -let ilp_solution = solver.solve(ilp).unwrap(); -println!("ILP solution: {:?}", ilp_solution); -``` - -```text -ILP solution: [1, 0, 1, 0] -``` - -#### Step 4 — Extract and verify - -`extract_solution` maps the ILP solution back to the original problem's -configuration space. - -```rust,ignore -let solution = reduction.extract_solution(&ilp_solution); -let metric = problem.evaluate(&solution); -println!("Packing solution: {:?} -> size {}", solution, metric); -assert!(metric.is_valid()); -``` - -```text -Packing solution: [1, 0, 1, 1] -> size Max(3) -``` - -For convenience, `ILPSolver::solve_reduced` combines reduce + solve + extract -in a single call: - -```rust,ignore -let solution = ILPSolver::new().solve_reduced(&problem).unwrap(); -assert!(problem.evaluate(&solution).is_valid()); -``` - -### Example 2: Reduction path search — integer factoring to spin glass -Real-world problems often require **chaining** multiple reductions. Here we factor the integer 6 by reducing `Factoring` through the reduction graph to `SpinGlass`, through automatic reduction path search. ([full source](https://github.com/CodingThrust/problem-reductions/blob/main/examples/chained_reduction_factoring_to_spinglass.rs)) - -Let's walk through each step. - -#### Step 1 — Discover the reduction path - -`ReductionGraph` holds every registered reduction. `find_cheapest_path` -searches for the shortest chain from a source problem variant to a target -variant. - -```rust,ignore -{{#include ../../examples/chained_reduction_factoring_to_spinglass.rs:step1}} -``` - -```text -{{#include generated/factoring-path.txt}} -``` - -#### Step 2 — Create the Factoring problem - -`Factoring::new(m, n, target)` creates a factoring instance: find two factors -`p` (m-bit) and `q` (n-bit) such that `p × q = target`. Here we factor **6** -with two 2-bit factors, expecting **2 × 3** or **3 × 2**. - -```rust,ignore -{{#include ../../examples/chained_reduction_factoring_to_spinglass.rs:step2}} -``` - -#### Step 3 — Solve with ILPSolver - -`solve_reduced` reduces the problem to ILP internally and solves it in one -call. It returns a configuration vector for the original problem — no manual -extraction needed. For small instances you can also use `BruteForce`, but -`ILPSolver` scales to much larger problems. - -```rust,ignore -{{#include ../../examples/chained_reduction_factoring_to_spinglass.rs:step3}} -``` - -#### Step 4 — Read and verify the factors - -`read_factors` decodes the binary configuration back into the two integer -factors. - -```rust,ignore -{{#include ../../examples/chained_reduction_factoring_to_spinglass.rs:step4}} +fn main() { + let problem = MaximumSetPacking::::new(vec![ + vec![0, 1], vec![1, 2], vec![2, 3], vec![4, 5], + ]); + let solver = BruteForce::new(); + let solution = solver.find_witness(&problem).unwrap(); + println!("{:?}: {}", solution, problem.evaluate(&solution)); +} ``` -```text -{{#include generated/factoring-result.txt}} -``` - -#### Step 5 — Inspect the overhead - -Each reduction edge carries a polynomial overhead mapping source problem -sizes to target sizes. `path_overheads` returns the per-edge -polynomials, and `compose_path_overhead` composes them symbolically into a -single end-to-end formula. - -```rust,ignore -{{#include ../../examples/chained_reduction_factoring_to_spinglass.rs:overhead}} -``` - -```text -{{#include generated/factoring-overhead.txt}} -``` - -## Solvers - -Three solvers are available: - -| Solver | Use Case | Notes | -|--------|----------|-------| -| [`BruteForce`](api/problemreductions/solvers/struct.BruteForce.html) | Small instances (<20 variables) | Enumerates all configurations | -| [`ILPSolver`](api/problemreductions/solvers/ilp/struct.ILPSolver.html) | Larger instances | Enabled by default (`ilp` feature) | -| [`CustomizedSolver`](api/problemreductions/solvers/customized/struct.CustomizedSolver.html) | Structure-exploiting | Uses problem-specific exact algorithms | - -ILP support is enabled by default. To disable it: - -```bash -cargo add problemreductions --no-default-features -``` - -## JSON Resources - -The library exports machine-readable metadata useful for tooling and research: - -These files are generated when you build the docs locally. -- [reduction_graph.json](reductions/reduction_graph.json) lists all problem variants and reduction edges -- [problem_schemas.json](reductions/problem_schemas.json) lists field definitions for each problem type - +The optimal packing selects sets 0, 2, and 3 and evaluates to `Max(3)`. The witness vector is `[1,0,1,1]`. -## Next Steps +`Problem::evaluate` checks a configuration; `BruteForce` enumerates the configuration space to find an optimum. Keep exhaustive examples small. -- Try the [CLI tool](./cli.md) to explore problems and reduction paths from your terminal -- Explore the [interactive reduction graph](./introduction.html) to discover available reductions -- Read the [Design](./design.md) guide for implementation details -- Browse the [API Reference](./api.html) for full documentation +Next: [apply an ILP reduction](rust-reduction.md) or [read solver contracts](rust-solvers.md). diff --git a/docs/src/install.md b/docs/src/install.md new file mode 100644 index 000000000..11db6abd4 --- /dev/null +++ b/docs/src/install.md @@ -0,0 +1,29 @@ +# Install the CLI + +The `pred` executable explores models and reductions, creates instances, and runs solvers. + +## Install a release + +```bash +cargo install problemreductions-cli +pred --version +``` + +Rust and a native build toolchain are required. The default solver backend is HiGHS. + +## Build the current repository + +```bash +git clone https://github.com/CodingThrust/problem-reductions +cd problem-reductions +cargo install --path problemreductions-cli +pred --version +``` + +The website catalog is built from the repository. A published crate may have fewer models or rules; use the source build when reproducing current catalog entries. + +## Optional features + +For the MCP server, install with `--features mcp`. The CLI also exposes `cplex` and `lp-solvers` for separately installed solver backends; consult the [CLI manifest](https://github.com/CodingThrust/problem-reductions/blob/main/problemreductions-cli/Cargo.toml) before configuring one. + +Next: [first solve](cli.md) or [connect with MCP](mcp.md). diff --git a/docs/src/introduction.md b/docs/src/introduction.md index c38db6d23..85eee55a6 100644 --- a/docs/src/introduction.md +++ b/docs/src/introduction.md @@ -1,83 +1,29 @@ -# Problem Reductions +# Documentation -**problem-reductions** provides executable definitions of computationally hard problems and reduction rules between them. The library is the foundation for an autonomous research infrastructure: a system in which AI agents investigate useful connections, challenge candidate constructions, and expand a reusable atlas of computational knowledge. +Use executable reductions to connect a hard problem to a solver. Explore the catalog, transform an instance, and check the recovered solution. These guides are organized around small tasks for agents and their operators. -[Explore the research website and problem atlas →](./index.html) +## See what works -## Reduction Graph +[Watch the CLI solve a graph problem →](cli-demo.md) - +A real terminal run: discover a route, reduce to ILP, recover an independent set, and cross-check the optimum. Six commands, about half a minute. - -
    -
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    - Graph - Formula - Set - Algebraic - Misc - Variant Cast -
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    - Click a node to start path selection - - -
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    - Click a problem node to expand/collapse its variants. - Click a variant to filter its edges. - Click two nodes to find a reduction path. - Double-click for API docs (nodes) or source code (edges). - Scroll to zoom, drag to pan. -
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    +## Choose a task -You can also explore this graph from the terminal with the [CLI tool](./cli.md). For theoretical background and correctness proofs, see the [PDF manual](https://codingthrust.github.io/problem-reductions/reductions.pdf). +| You have… | Start here | You get… | +|---|---|---| +| A problem to solve | [Find a solver](agent-find-solver.md) | A model, reduction route, and solver recommendation | +| A solver to reuse | [Extend its reach](agent-find-problem.md) | Reachable source problems and size overheads | +| A candidate connection | [Propose a model or rule](agent-propose.md) | A precise research proposal | +| An approved issue | [Implement and review](agent-pipeline.md) | A tested implementation for review | +| An instance to run | [First solve](cli.md) | A solution checked against the original problem | -## Our Vision +## Give an agent the right context -Computational complexity theory has produced a rich body of polynomial-time reductions between NP-hard problems, yet these results largely remain confined to papers. The gap between theoretical algorithms and working software leads to two persistent inefficiencies: +Start with [agent setup](skills.md). Every page has a **Markdown** link for direct reading; the [Markdown index](markdown/index.md) lists all tasks. Use [JSON exports](cli-automation.md) for registry data and [MCP](mcp.md) for tool access. -- **Solver underutilization.** State-of-the-art solvers (SAT solvers, ILP solvers, QUBO annealers) each target a single problem formulation. In principle, any problem reducible to that formulation can leverage the same solver — but without a systematic reduction library, practitioners must re-derive and re-implement each transformation. -- **Redundant effort.** Problems that are polynomial-time equivalent are, from a computational standpoint, interchangeable. Without infrastructure connecting them, the same algorithmic insights are independently reimplemented across domains. +## Research scope -Our goal is to build a comprehensive, machine-readable reduction graph: a directed graph in which every node is a computational problem and every edge is a verified polynomial-time reduction. Given such a graph, one can automatically compose reduction paths to route any source problem to any reachable target solver. +The long-term goal is autonomous discovery of new reduction rules. Today, this repository provides executable models, registered reductions, solver routing, and agent workflows for proposals, implementation, and review. A candidate rule needs a mathematical argument as well as tests; passing finite examples does not establish a general proof. -A key enabler is AI-assisted implementation. We propose a pipeline of `algorithm → paper → software`, in which AI agents translate published reduction proofs into tested code. For witness-capable reductions, a **closed-loop test** reduces a source instance to a target, solves the target, extracts the solution back, and checks it against a direct solve of the source. These tests provide evidence about finite instances; a general correctness claim still requires a mathematical proof. Aggregate and Turing reductions have their own contracts and require corresponding checks. - -
    - -![](static/workflow-loop.svg) - -
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    - -![](static/workflow-loop-dark.svg) - -
    - -This library is the foundation of that effort: an open-source, extensible reduction graph with verified implementations, designed for contributions from both human researchers and AI agents. - -## Call for Contributions - -> **No programming experience required.** You contribute domain knowledge — we handle the implementation. - -### How it works - -1. **File an issue** — use the [Problem](https://github.com/CodingThrust/problem-reductions/issues/new?template=problem.md) or [Rule](https://github.com/CodingThrust/problem-reductions/issues/new?template=rule.md) template. Describe the problem or reduction you have in mind; the template guides you through the details. -2. **We implement it** — for reasonable requests, maintainers tag the issue `implement` and AI agents generate a tested implementation. -3. **We present it to you** — all issue contributors are invited to community calls (via [Zulip](https://problem-reductions.zulipchat.com/)), where maintainers walk through the implementation — documentation, CLI behavior, correctness — and you provide feedback. - -### Authorship - -Contribute 10 non-trivial reduction rules and you'll be added to the author list of the [paper](https://codingthrust.github.io/problem-reductions/reductions.pdf). - -For manual implementation, see the [Design](./design.md#contributing) guide. - -## License - -MIT License +[Explore the atlas](index.html#atlas) · [Read the mathematical manual](reductions.pdf) · [Browse the Rust API](api.md) diff --git a/docs/src/mcp-tools.md b/docs/src/mcp-tools.md new file mode 100644 index 000000000..a61dd8044 --- /dev/null +++ b/docs/src/mcp-tools.md @@ -0,0 +1,31 @@ +# MCP tool reference + +[Connect the server](mcp.md), then use its advertised tool schemas as the runtime contract. Tools return JSON strings; pass the returned instance or bundle as `problem_json` to the next operation. + +## Graph queries + +| Tool | Parameters | Description | +|------|-----------|-------------| +| `list_problems` | *(none)* | List all registered problem types with aliases, variant counts, and reduction counts | +| `show_problem` | `problem` (string) | Show details for a problem type: variants, size fields, schema, and incoming/outgoing reductions | +| `neighbors` | `problem` (string), `hops` (int, default: 1), `direction` ("out"\|"in"\|"both", default: "out") | Find neighboring problems reachable via reduction edges within a given hop distance | +| `find_path` | `source` (string), `target` (string), `cost` (string, default: "minimize-steps"), `all` (bool, default: false), `max_paths` (int, default: 20) | Find a reduction path between two problems, optionally minimizing a size field or returning all paths | +| `export_graph` | *(none)* | Export the full reduction graph as JSON (nodes, edges, overheads) | + +## Instances + +| Tool | Parameters | Description | +|------|-----------|-------------| +| `create_problem` | `problem_type` (string), `params` (JSON object) | Create a problem instance from parameters and return its JSON representation. Supports graph problems, SAT, QUBO, SpinGlass, KColoring, Factoring, and random graph generation | +| `inspect_problem` | `problem_json` (string) | Inspect a problem JSON or reduction bundle: returns type, size metrics, available solvers, and reduction targets | +| `evaluate` | `problem_json` (string), `config` (array of int) | Evaluate a configuration against a problem instance and return the objective value or feasibility | +| `reduce` | `problem_json` (string), `target` (string) | Reduce a problem instance to a target type, returning a reduction bundle with the transformed instance and path metadata | +| `solve` | `problem_json` (string), `solver` ("ilp"\|"brute-force"\|"customized", default: "ilp"), `timeout` (int, default: 0) | Solve a problem instance or reduction bundle using the chosen backend, with optional timeout | + +## Prompt templates + +The server also advertises `what_is`, `model_my_problem`, `compare`, `reduce`, `solve`, `find_reduction`, and `overview`. Inspect each prompt’s declared arguments in your MCP client. + +Creation supports selected models and uses MCP parameter names such as `edges`; CLI creation flags are a separate interface. For models outside MCP creation support, create JSON with the CLI and pass it to the instance tools. + +Next: [example session](mcp-walkthrough.md). diff --git a/docs/src/mcp-walkthrough.md b/docs/src/mcp-walkthrough.md new file mode 100644 index 000000000..b1ff2d747 --- /dev/null +++ b/docs/src/mcp-walkthrough.md @@ -0,0 +1,30 @@ +# MCP example session + +**Before you start:** [connect the server](mcp.md). This is a reproducible task specification; the [CLI recording](cli-demo.md) shows a real execution of the corresponding workflow. + +## Ask the agent + +```text +Create Maximum Independent Set on the cycle with edges +0-1, 1-2, 2-3, 3-4, 4-0. Discover a route to ILP, reduce and solve it. +Evaluate the recovered source configuration on the original instance. +Cross-check the optimum with brute force and report both evaluations. +``` + +## Expected tool sequence + +| Tool | Key input | +|---|---| +| `show_problem` | `problem: "MIS"` | +| `find_path` | `source: "MIS", target: "ILP"` | +| `create_problem` | `problem_type: "MIS", params: {"edges": "0-1,1-2,2-3,3-4,4-0"}` | +| `reduce` | Original problem JSON, `target: "ILP"` | +| `solve` | Reduction bundle JSON, `solver: "ilp"` | +| `evaluate` | Original problem JSON, recovered `config` | +| `solve` | Original problem JSON, `solver: "brute-force"` | + +## Check the result + +The maximum independent set has size 2. Both solves and the source evaluation should return `Max(2)`. Valid witnesses include `[1,0,1,0,0]` and `[0,0,1,0,1]`. + +Retain the original JSON for evaluation. Passing only the transformed target loses the context required to check the original problem. diff --git a/docs/src/mcp.md b/docs/src/mcp.md index 05913595c..d7adec2d2 100644 --- a/docs/src/mcp.md +++ b/docs/src/mcp.md @@ -1,107 +1,31 @@ -# MCP Server +# Connect with MCP -The [Model Context Protocol (MCP)](https://modelcontextprotocol.io/) is an open standard that allows AI assistants to interact with external tools and data sources. The `pred` CLI includes a built-in MCP server that exposes the full reduction graph, problem creation, solving, and reduction capabilities to any MCP-compatible AI assistant. +`pred mcp` exposes catalog queries, instance creation, reductions, and solving over a local stdio MCP server. -## Setup - -Install the `pred` CLI, then configure your AI assistant: +## Install with MCP support ```bash -cargo install problemreductions-cli +cargo install problemreductions-cli --features mcp +pred mcp --help ``` -**Claude Code:** - -```bash -claude mcp add --scope user problemreductions -- pred mcp -``` +For the current checkout, use `cargo install --path problemreductions-cli --features mcp`. MCP is an optional feature and is not included in the default CLI install. -**Cursor / Windsurf** — add to `.cursor/mcp.json` or `~/.codeium/windsurf/mcp_config.json`: - -```json -{ "mcpServers": { "problemreductions": { "command": "pred", "args": ["mcp"] } } } -``` +## Configure your client -**OpenCode** — add to `opencode.json`: +Register a local stdio server with executable `pred` and argument `mcp`. Clients using an `mcpServers` configuration accept this shape: ```json -{ "mcp": { "problemreductions": { "type": "local", "command": ["pred", "mcp"] } } } +{ + "mcpServers": { + "problemreductions": { + "command": "pred", + "args": ["mcp"] + } + } +} ``` -Restart your AI assistant after configuration. - -## Walkthrough - -A complete Claude Code session showing how the AI assistant uses MCP tools behind the scenes to answer your questions. - -**You:** Create a weighted MIS problem on a 4-vertex graph with edges 0-1, 1-2, 2-3, 3-0, 0-2 and weights [1, 2, 3, 4], explain the result. - -> **Assistant:** I created a Maximum Independent Set instance on a SimpleGraph with 4 vertices, 5 edges, and integer weights [1, 2, 3, 4]. Each vertex has a weight, and the goal is to find a subset of non-adjacent vertices that maximizes total weight. - -**You:** What can I do with this problem? Explain the result. - -> **Assistant:** This instance has 4 binary variables (one per vertex). It can be reduced to 5 other problem types: ILP, MaximumSetPacking, MinimumVertexCover, QUBO, and other MIS variants. You can solve it directly using either an ILP solver or brute-force search. - -**You:** Check if selecting vertices 1 and 3 is a valid solution, explain the result. - -> **Assistant:** Yes! Selecting vertices 1 and 3 (configuration [0,1,0,1]) is a valid independent set — these two vertices are not adjacent. The total weight is 2 + 4 = 6. - -**You:** Reduce this to QUBO, explain the result. - -> **Assistant:** Done. The MIS instance was transformed into a 4x4 QUBO matrix: -> -> ``` -> [-1.0, 11.0, 11.0, 11.0] -> [ 0.0, -2.0, 11.0, 0.0] -> [ 0.0, 0.0, -3.0, 11.0] -> [ 0.0, 0.0, 0.0, -4.0] -> ``` -> -> The diagonal entries (-1, -2, -3, -4) encode vertex weights negated for minimization. The off-diagonal entries (11.0) are large penalties on edges — selecting two adjacent vertices would incur a penalty that outweighs any benefit. The reduction path is: MaximumIndependentSet → MaximumSetPacking → QUBO. - -**You:** Now solve it through the reduction, explain the result. - -> **Assistant:** The ILP solver found the optimal solution by solving the QUBO, then mapping the result back to the original MIS: -> -> - **QUBO solution:** [0,1,0,1] with objective -6.0 (minimization) -> - **MIS solution:** vertices {1, 3} with weight **6** (maximization) -> -> The QUBO objective of -6.0 corresponds to the MIS maximum of 6 — the reduction correctly inverts the sign. This confirms that {1, 3} is the optimal independent set. - -## Available Tools - -The MCP server provides 10 tools organized into two categories: **graph query tools** for exploring the reduction graph, and **instance tools** for working with concrete problem instances. - -### Graph Query Tools - -| Tool | Parameters | Description | -|------|-----------|-------------| -| `list_problems` | *(none)* | List all registered problem types with aliases, variant counts, and reduction counts | -| `show_problem` | `problem` (string) | Show details for a problem type: variants, size fields, schema, and incoming/outgoing reductions | -| `neighbors` | `problem` (string), `hops` (int, default: 1), `direction` ("out"\|"in"\|"both", default: "out") | Find neighboring problems reachable via reduction edges within a given hop distance | -| `find_path` | `source` (string), `target` (string), `cost` (string, default: "minimize-steps"), `all` (bool, default: false) | Find a reduction path between two problems, optionally minimizing a size field or returning all paths | -| `export_graph` | *(none)* | Export the full reduction graph as JSON (nodes, edges, overheads) | - -### Instance Tools - -| Tool | Parameters | Description | -|------|-----------|-------------| -| `create_problem` | `problem_type` (string), `params` (JSON object) | Create a problem instance from parameters and return its JSON representation. Supports graph problems, SAT, QUBO, SpinGlass, KColoring, Factoring, and random graph generation | -| `inspect_problem` | `problem_json` (string) | Inspect a problem JSON or reduction bundle: returns type, size metrics, available solvers, and reduction targets | -| `evaluate` | `problem_json` (string), `config` (array of int) | Evaluate a configuration against a problem instance and return the objective value or feasibility | -| `reduce` | `problem_json` (string), `target` (string) | Reduce a problem instance to a target type, returning a reduction bundle with the transformed instance and path metadata | -| `solve` | `problem_json` (string), `solver` ("ilp"\|"brute-force", default: "ilp"), `timeout` (int, default: 0) | Solve a problem instance or reduction bundle using ILP or brute-force, with optional timeout | - -## Available Prompts - -The server provides 7 task-oriented prompt templates: +Ensure the client can resolve `pred` on its `PATH`, or supply the executable's absolute path. Reload the client and request the server's tool list to verify the connection. -| Prompt | Arguments | Description | -|--------|-----------|-------------| -| `what_is` | `problem_type` (required) | Explain a problem type | -| `model_my_problem` | `description` (required) | Map a real-world problem to an NP-hard type | -| `compare` | `problem_a` (required), `problem_b` (required) | Compare two problem types | -| `reduce` | `source` (required), `target` (required) | Step-by-step reduction walkthrough | -| `solve` | `problem_type` (required), `params` (required) | Create and solve a problem instance | -| `find_reduction` | `source` (required), `target` (required) | Find the best reduction path between two problems | -| `overview` | *(none)* | Explore the full landscape of NP-hard problems | +Next: [tool reference](mcp-tools.md) or [example session](mcp-walkthrough.md). diff --git a/docs/src/reduction-graph.md b/docs/src/reduction-graph.md new file mode 100644 index 000000000..8af87ecad --- /dev/null +++ b/docs/src/reduction-graph.md @@ -0,0 +1,35 @@ +# Reduction graph + + + + +
    +
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    + Graph + Formula + Set + Algebraic + Misc + Variant Cast +
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    + Click a node to start path selection + + +
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    + Click a problem node to expand/collapse its variants. + Click a variant to filter its edges. + Click two nodes to find a reduction path. + Double-click for API docs (nodes) or source code (edges). + Scroll to zoom, drag to pan. +
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    + +You can also explore this graph from the terminal with the [CLI tool](./cli.md). For theoretical background and correctness proofs, see the [PDF manual](https://codingthrust.github.io/problem-reductions/reductions.pdf). + +For exact variants and structured output, use [CLI path queries](cli-paths.md). diff --git a/docs/src/rust-paths.md b/docs/src/rust-paths.md new file mode 100644 index 000000000..3812533b8 --- /dev/null +++ b/docs/src/rust-paths.md @@ -0,0 +1,35 @@ +# Discover and execute paths + +Search uses exact variants. This example discovers a witness-capable route from `Factoring` to `SpinGlass`. + +```rust,ignore +use problemreductions::prelude::*; +use problemreductions::rules::{MinimizeSteps, ReductionGraph}; +use problemreductions::topology::SimpleGraph; +use problemreductions::types::ProblemSize; +{{#include ../../examples/chained_reduction_factoring_to_spinglass.rs:step1}} +``` + +## Execute the route + +```rust,ignore +let factoring = Factoring::new(2, 2, 6); +let reduction = graph + .reduce_along_path(&rpath, &factoring) + .unwrap(); +let target: &SpinGlass = reduction.target_problem(); +// Solve `target` with a compatible solver, then recover source bits: +// let source_config = reduction.extract_solution(&target_config); +``` + +`extract_solution` walks the intermediate mappings in reverse. A discovered path establishes a registered transformation, not an efficient target solve. + +The [runnable factoring example](https://github.com/CodingThrust/problem-reductions/blob/main/examples/chained_reduction_factoring_to_spinglass.rs) discovers the SpinGlass route, then separately solves factoring through a direct integer ILP reduction. Run it with: + +```bash +cargo run --example chained_reduction_factoring_to_spinglass +``` + +It checks that the recovered factors multiply to 6 and prints composed overheads. + +Next: [path costs and overhead](design-paths.md). diff --git a/docs/src/rust-reduction.md b/docs/src/rust-reduction.md new file mode 100644 index 000000000..4a4d56472 --- /dev/null +++ b/docs/src/rust-reduction.md @@ -0,0 +1,30 @@ +# Apply a reduction + +Reduce Maximum Set Packing to binary ILP, solve the target, and recover the original configuration. The default library features include the HiGHS backend. + +```rust +use problemreductions::prelude::*; +use problemreductions::models::algebraic::ILP; +use problemreductions::solvers::ILPSolver; + +fn main() { + let problem = MaximumSetPacking::::new(vec![ + vec![0, 1], vec![1, 2], vec![2, 3], vec![4, 5], + ]); + let reduction = ReduceTo::>::reduce_to(&problem); + let target = reduction.target_problem(); + assert_eq!(target.num_vars(), 4); + assert_eq!(target.num_constraints(), 2); + + let target_solution = ILPSolver::new().solve(target).unwrap(); + let solution = reduction.extract_solution(&target_solution); + assert_eq!(solution, vec![1, 0, 1, 1]); + println!("{}", problem.evaluate(&solution)); // Max(3) +} +``` + +The target has one binary variable per set and excludes overlapping pairs. `extract_solution` maps a target witness to the source configuration space. + +For types implementing `ReduceTo>`, `ILPSolver::new().solve_reduced(&problem)` combines these steps. It returns an optional source configuration; evaluate it against the original problem. + +Next: [discover a multi-step path](rust-paths.md). diff --git a/docs/src/rust-solvers.md b/docs/src/rust-solvers.md new file mode 100644 index 000000000..1a2a62263 --- /dev/null +++ b/docs/src/rust-solvers.md @@ -0,0 +1,27 @@ +# Solver contracts + +Choose a solver by its input and result contract. + +| API | Result | Scope | +|---|---|---| +| `Solver::solve` with `BruteForce` | Aggregate value | Any problem whose value implements `Aggregate` | +| `BruteForce::find_witness` | Optional configuration | Values supporting representative witnesses | +| `ILPSolver::solve` | Optional ILP configuration | ILP instances; requires an ILP backend | +| `ILPSolver::solve_reduced` | Optional source configuration | Witness-capable problems implementing `ReduceTo>` | +| `CustomizedSolver` | Model-specific exact solving | Selected models with specialized implementations | + +The aggregate `Solver::solve` contract differs from the inherent witness-returning ILP methods. Counting and other aggregate-only problems need a value, not a representative configuration. + +## Feature selection + +HiGHS is enabled by default through `ilp-highs`. To use the library without it: + +```bash +cargo add problemreductions --no-default-features +``` + +See the [solver API](api/problemreductions/solvers/index.html) for exact method signatures and supported specialized backends. + +## Verification + +For witness results, evaluate the recovered configuration against the source. For aggregate results, compare values according to the reduction's extraction contract. Use small exhaustive solves as independent checks. diff --git a/docs/src/skills.md b/docs/src/skills.md index 98b26fee2..d382df1c4 100644 --- a/docs/src/skills.md +++ b/docs/src/skills.md @@ -1,19 +1,30 @@ -# AI Agent Skills +# Start with an agent -AI coding assistants ([Claude Code](https://claude.ai/claude-code), [OpenCode](https://github.com/opencode-ai/opencode), [Codex](https://github.com/openai/codex)) can call `pred` CLI commands directly and use interactive skills to work with the reduction graph. +An agent can use the CLI directly from a repository checkout. Skills supply the task procedure; the CLI supplies current model and reduction data. -## Quick Start - -Paste into Claude Code or Codex: +## Prepare the workspace +```bash +git clone https://github.com/CodingThrust/problem-reductions +cd problem-reductions +make cli ``` -1. Clone https://github.com/CodingThrust/problem-reductions, -2. Build the pred CLI with `make cli` in the root directory, -3.1 Run `/find-solver` skill to help me find a solver for my scheduling problem. -3.2 Run `/find-problem` skill to help me find problems that my QUBO solver can solve. -3.3 Run `/propose` skill to help me propose a new problem or reduction to the project. + +This installs `pred` into Cargo’s binary directory (usually `~/.cargo/bin`). Confirm it is on your shell’s `PATH` with `pred --version`. + +## Give the agent this context + +```text +Work in this repository. Read AGENTS.md and .claude/CLAUDE.md. +Use the built pred CLI to inspect current models, variants, and paths. +Read the SKILL.md for the task before following its workflow. +Report the exact model variant, commands, results, and unresolved assumptions. ``` -The prompt 3.1 is for users who have a real-world problem and need help finding a solver for it. -The prompt 3.2 is for users who have a solver and need help finding problems that it can solve. -The prompt 3.3 is for contributors who want to propose a new problem or reduction rule to the project. \ No newline at end of file +Then choose [find a solver](agent-find-solver.md), [extend a solver's reach](agent-find-problem.md), or [propose a rule](agent-propose.md). + +## Read without a browser + +Use the [Markdown index](markdown/index.md) to retrieve only the relevant task pages. Code includes are expanded in those files. The [graph and schemas](cli-automation.md#registry-exports) provide structured data. + +An agent with MCP support can instead [connect to `pred mcp`](mcp.md). Repository skills still require access to the checkout. diff --git a/docs/src/static/asciinema-player-LICENSE b/docs/src/static/asciinema-player-LICENSE new file mode 100644 index 000000000..15258081e --- /dev/null +++ b/docs/src/static/asciinema-player-LICENSE @@ -0,0 +1,201 @@ + Apache License + Version 2.0, January 2004 + http://www.apache.org/licenses/ + + TERMS AND CONDITIONS FOR USE, REPRODUCTION, AND DISTRIBUTION + + 1. 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We also recommend that a + file or class name and description of purpose be included on the + same "printed page" as the copyright notice for easier + identification within third-party archives. + + Copyright 2011-2021 Marcin Kulik + + Licensed under the Apache License, Version 2.0 (the "License"); + you may not use this file except in compliance with the License. + You may obtain a copy of the License at + + http://www.apache.org/licenses/LICENSE-2.0 + + Unless required by applicable law or agreed to in writing, software + distributed under the License is distributed on an "AS IS" BASIS, + WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + See the License for the specific language governing permissions and + limitations under the License. diff --git a/docs/src/static/cli-demo.cast b/docs/src/static/cli-demo.cast new file mode 100644 index 000000000..cd9afb3e8 --- /dev/null +++ b/docs/src/static/cli-demo.cast @@ -0,0 +1,267 @@ +{"version": 2, "width": 88, "height": 22, "title": "From a graph to a verified solution", "env": {"TERM": "xterm-256color", "SHELL": "/bin/bash"}} +[0.0, "o", "\u001b[90m# Discover a route to an available solver\u001b[0m\r\n"] +[0.45, "o", "$ "] +[0.75, "o", "."] +[0.798061, "o", "/"] +[0.831401, "o", "p"] +[0.852611, "o", "r"] +[0.899118, "o", "e"] +[0.946418, "o", "d"] +[0.98372, "o", " "] +[1.023524, "o", "p"] +[1.046874, "o", "a"] +[1.089336, "o", "t"] +[1.116966, "o", "h"] +[1.138829, "o", " "] +[1.181915, "o", "M"] +[1.212605, "o", "I"] +[1.251057, "o", "S"] +[1.2893, "o", " "] +[1.31446, "o", "I"] +[1.340586, "o", "L"] +[1.36479, "o", "P"] +[1.566199, "o", "\r\n"] +[1.746434, "o", "Path (3 steps): MaximumIndependentSet/SimpleGraph/One → MaximumSetPacking/One → ILP/bool\r\n\r\n Step 1: MaximumIndependentSet/SimpleGraph/One → MaximumSetPacking/One\r\n num_sets = O(num_vertices)\r\n universe_size = O(num_edges)\r\n\r\n Step 2: MaximumSetPacking/One → MaximumSetPacking/i32\r\n num_sets = O(num_sets)\r\n universe_size = O(universe_size)\r\n\r\n Step 3: MaximumSetPacking/i32 → ILP/bool\r\n num_vars = O(num_sets)\r\n num_constraints = O(universe_size)\r\n\r\n Overall:\r\n num_vars = O(num_vertices)\r\n num_constraints = O(num_edges)\r\n\r\n"] +[4.246434, "o", "\u001b[90m# Create a five-vertex cycle\u001b[0m\r\n"] +[4.696434, "o", "$ "] +[4.996434, "o", "."] +[5.031063, "o", "/"] +[5.07908, "o", "p"] +[5.101888, "o", "r"] +[5.138038, "o", "e"] +[5.172084, "o", "d"] +[5.209925, "o", " "] +[5.233415, "o", "c"] +[5.270627, "o", "r"] +[5.299175, "o", "e"] +[5.335755, "o", "a"] +[5.374805, "o", "t"] +[5.409274, "o", "e"] +[5.440221, "o", " "] +[5.468197, "o", "M"] +[5.515335, "o", "I"] +[5.54903, "o", "S"] +[5.584875, "o", " "] +[5.606415, "o", "-"] +[5.641642, "o", "-"] +[5.662804, "o", "g"] +[5.687829, "o", "r"] +[5.722069, "o", "a"] +[5.753634, "o", "p"] +[5.776151, "o", "h"] +[5.813602, "o", " "] +[5.839194, "o", "0"] +[5.875799, "o", "-"] +[5.900838, "o", "1"] +[5.948083, "o", ","] 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reduced.json\r\n"] +[15.111677, "o", "\u001b[90m# Solve the target and recover a source solution\u001b[0m\r\n"] +[15.561677, "o", "$ "] +[15.861677, "o", "."] +[15.89805, "o", "/"] +[15.928395, "o", "p"] +[15.953061, "o", "r"] +[15.991547, "o", "e"] +[16.038457, "o", "d"] +[16.083043, "o", " "] +[16.105996, "o", "s"] +[16.136104, "o", "o"] +[16.157151, "o", "l"] +[16.197043, "o", "v"] +[16.235915, "o", "e"] +[16.278136, "o", " "] +[16.303288, "o", "r"] +[16.330365, "o", "e"] +[16.363482, "o", "d"] +[16.405111, "o", "u"] +[16.43191, "o", "c"] +[16.475949, "o", "e"] +[16.507623, "o", "d"] +[16.553103, "o", "."] +[16.600984, "o", "j"] +[16.637033, "o", "s"] +[16.683823, "o", "o"] +[16.71664, "o", "n"] +[16.936828, "o", "\r\n"] +[17.089047, "o", "Problem: MaximumIndependentSet\r\nSolver: ilp (via ILP)\r\nSolution: [1, 0, 1, 0, 0]\r\nEvaluation: Max(2)\r\n\r\nHint: use -o to save full solution details (including intermediate results) as JSON.\r\n"] +[19.589047, "o", "\u001b[90m# Check an independent set of size two\u001b[0m\r\n"] +[20.039047, "o", "$ "] +[20.339047, "o", "."] +[20.38376, "o", "/"] +[20.428246, "o", "p"] +[20.451846, "o", "r"] +[20.480135, "o", "e"] +[20.512622, "o", "d"] +[20.557641, "o", " "] +[20.58639, "o", "e"] +[20.610575, "o", "v"] +[20.642085, "o", "a"] +[20.669073, "o", "l"] +[20.710128, "o", "u"] +[20.747578, "o", "a"] +[20.770048, "o", "t"] +[20.815616, "o", "e"] +[20.848952, "o", " "] +[20.891705, "o", "c"] +[20.917334, "o", "y"] +[20.946955, "o", "c"] +[20.970008, "o", "l"] +[21.002068, "o", "e"] +[21.035078, "o", "."] +[21.075196, "o", "j"] +[21.109624, "o", "s"] +[21.141839, "o", "o"] +[21.176222, "o", "n"] +[21.205097, "o", " "] +[21.236444, "o", "-"] +[21.274258, "o", "-"] +[21.301027, "o", "c"] +[21.336556, "o", "o"] +[21.383587, "o", "n"] +[21.417394, "o", "f"] +[21.457107, "o", "i"] +[21.496583, "o", "g"] +[21.54002, "o", " "] +[21.581336, "o", "1"] +[21.620835, "o", ","] +[21.644739, "o", "0"] +[21.676005, "o", ","] +[21.719239, "o", "1"] +[21.742064, "o", ","] +[21.766985, "o", "0"] +[21.813335, "o", ","] +[21.850799, "o", "0"] +[22.079244, "o", "\r\n"] +[22.220535, "o", "Max(2)\r\n"] +[24.720535, "o", "\u001b[90m# Cross-check the optimum by exhaustive search\u001b[0m\r\n"] +[25.170535, "o", "$ "] +[25.470535, "o", "."] +[25.512635, "o", "/"] +[25.561514, "o", "p"] +[25.590875, "o", "r"] +[25.631085, "o", "e"] +[25.661342, "o", "d"] +[25.708829, "o", " "] +[25.738055, "o", "s"] +[25.764502, "o", "o"] +[25.808302, "o", "l"] +[25.837115, "o", "v"] +[25.873068, "o", "e"] +[25.91093, "o", " "] +[25.94144, "o", "c"] +[25.971798, "o", "y"] +[26.001788, "o", "c"] +[26.030278, "o", "l"] +[26.072549, "o", "e"] +[26.110047, "o", "."] +[26.146398, "o", "j"] +[26.190474, "o", "s"] +[26.218674, "o", "o"] +[26.243513, "o", "n"] +[26.265307, "o", " "] +[26.287353, "o", "-"] +[26.336092, "o", "-"] +[26.384359, "o", "s"] +[26.424024, "o", "o"] +[26.472762, "o", "l"] +[26.508201, "o", "v"] +[26.541368, "o", "e"] +[26.576796, "o", "r"] +[26.599728, "o", " "] +[26.641996, "o", "b"] +[26.671541, "o", "r"] +[26.712087, "o", "u"] +[26.758553, "o", "t"] +[26.785702, "o", "e"] +[26.820824, "o", "-"] +[26.860112, "o", "f"] +[26.903819, "o", "o"] +[26.943936, "o", "r"] +[26.974207, "o", "c"] +[27.011004, "o", "e"] +[27.216555, "o", "\r\n"] +[27.358887, "o", "Problem: MaximumIndependentSet\r\nSolver: brute-force\r\nSolution: [0, 0, 1, 0, 1]\r\nEvaluation: Max(2)\r\n\r\nHint: use -o to save full solution details as JSON.\r\n"] +[29.858887, "o", "$ "] diff --git a/docs/src/static/cli-demo.html b/docs/src/static/cli-demo.html new file mode 100644 index 000000000..f47b16c75 --- /dev/null +++ b/docs/src/static/cli-demo.html @@ -0,0 +1,2404 @@ + + + + + +From a graph to a verified solution + + + + + + + +
    +

    From a graph to a verified solution

    +

    6 command(s) · 6 passed · 0 failed

    +
    +
    Recorded with how-to-demo-cli · asciinema-player 3.8.0 · self-contained & offline.
    +
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+ border-radius: 5px; + color: var(--sidebar-fg); +} +.chapter li a:hover { + color: var(--fg); + background: #1d2a20; + text-decoration: none; +} +.chapter li a.active { + color: #d4e9ba; + background: #263725; + font-weight: 600; +} +.chapter .section { + padding-left: 14px; +} +.chapter li.part-title { + margin: 23px 10px 7px; + color: #e2e9df; + font-size: 13px; + font-weight: 600; + text-transform: none; + letter-spacing: 0; +} +.chapter li.part-title:first-child { + margin-top: 9px; +} +.sidebar .on-this-page { + display: none; +} +.chapter li > a.toggle { + padding: 7px 3px; + width: 18px; +} +:is(#menu-bar, #mdbook-menu-bar) { + border-bottom: 1px solid #2a372d; + background: #101713; + padding: 0 24px; +} +.menu-title { + display: none; +} +.menu-bar .right-buttons { + margin-left: auto; +} +:is(#theme-toggle, #mdbook-theme-toggle) { + display: none; +} +.docs-tools { + display: flex; + align-items: center; + gap: 18px; + height: 50px; +} +.docs-tools a { + font-size: 13px; + font-weight: 600; + color: #b9c7bb; + text-decoration: none; +} +.docs-tools a:hover { + color: var(--links); +} +.content { + padding: 0 38px; +} +.content main { + padding: 42px 0 30px; +} +.content main > h1 { + font-size: 36px; + line-height: 1.2; + font-weight: 600; + letter-spacing: -1px; + margin: 0 0 22px; +} +.content h2 { + font-size: 21px; + font-weight: 600; + line-height: 1.4; + margin: 34px 0 12px; + letter-spacing: -0.25px; +} +.content h3 { + font-size: 17px; + font-weight: 600; + margin: 26px 0 10px; +} +.content p { + margin: 12px 0; +} +.content main > p:first-of-type { + font-size: 16px; + color: #c0ccc1; + line-height: 1.8; +} +.content a { + text-decoration: underline; + text-underline-offset: 3px; +} +.content .header { + text-decoration: none; +} +.content li { + margin: 6px 0; +} +.content strong { + font-weight: 600; +} +.content code { + font-size: 13px; + border-radius: 3px; +} +.content :not(pre) > code { + background: #213025; + padding: 2px 5px; + overflow-wrap: anywhere; +} +.content pre { + margin: 20px 0; + border: 1px solid #334437; + border-radius: 8px; + background: #162019; +} +.content pre > code { + display: block; + padding: 18px 20px; + background: #162019; + color: #dfe8dc; + line-height: 1.7; + tab-size: 4; +} +.content pre .buttons { + top: 6px; + right: 6px; +} +.content pre .buttons button { + background: #233429; + color: #d3dfcf; + border-radius: 4px; + padding: 7px; +} +.content table { + display: block; + width: 100%; + overflow-x: auto; + font-size: 14px; + margin: 18px 0; + border-collapse: collapse; +} +.content th { + font-weight: 600; + text-align: left; + color: #dfe8dc; +} +.content th, +.content td { + padding: 12px 14px; + border: 0; + border-bottom: 1px solid #304034; +} +.content td { + vertical-align: top; +} +.content blockquote { + margin: 20px 0; + padding: 8px 18px; + border-radius: 0 6px 6px 0; +} +.content details { + border: 1px solid #304034; + border-radius: 6px; + padding: 12px 16px; + margin: 18px 0; +} +.content summary { + cursor: pointer; + font-weight: 600; + color: #c4dda6; +} +.content .header:link, +.content .header:visited { + color: var(--fg); +} +.content .hljs-comment { + color: #9cac9b; + font-style: normal; +} +.content .hljs-keyword, +.content .hljs-selector-tag { + color: #a9c9e8; +} +.content .hljs-string { + color: #c4dda6; +} +.content .hljs-number, +.content .hljs-literal { + color: #ebc897; +} +.content .hljs-title { + color: #d8cfac; +} +.content .hljs-meta { + color: #a9c9e8; +} +.content :focus-visible, +.docs-tools a:focus-visible, +.sidebar a:focus-visible { + outline: 2px solid #c4dda6; + outline-offset: 4px; +} +.nav-chapters { + color: #b5c2b7; +} +.cli-cast { + display: block; + width: 100%; + height: 490px; + border: 1px solid #334437; + border-radius: 8px; + background: #0d0f12; + margin: 24px 0 16px; +} +:is(#searchbar, #mdbook-searchbar) { + padding: 13px 16px; + border-radius: 6px; +} +:is(#search-wrapper, #mdbook-search-wrapper) { + margin: 25px 0 0; +} +@media (min-width: 1200px) { + .content { + padding-left: 56px; + padding-right: 56px; + } +} +@media (max-width: 700px) { + .content { + padding: 0 22px; + } + .content main { + padding-top: 30px; + } + .content main > h1 { + font-size: 30px; + } + :is(#menu-bar, #mdbook-menu-bar) { + padding: 0 12px; + } + .docs-tools { + gap: 14px; + } + .docs-tools a { + font-size: 12px; + } + .cli-cast { + height: 345px; + } + .content th, + .content td { + padding: 9px 10px; + } +} +@media (max-width: 380px) { + .docs-tools a:last-child { + display: none; + } + .cli-cast { + height: 285px; + } +} +@media print { + .docs-tools, + .docs-brand, + .cli-cast { + display: none; + } +} diff --git a/docs/src/static/docs-theme.js b/docs/src/static/docs-theme.js new file mode 100644 index 000000000..3c11dccb7 --- /dev/null +++ b/docs/src/static/docs-theme.js @@ -0,0 +1,125 @@ +/* Small additions to mdBook's native navigation; content remains usable without JS. */ +(() => { + const root = window.path_to_root || ""; + // mdBook 0.5 uses a label for this control; expose its button behavior to keyboards. + const toggle = document.querySelector("label#mdbook-sidebar-toggle"); + if (toggle) { + toggle.setAttribute("role", "button"); + toggle.tabIndex = 0; + toggle.addEventListener("keydown", (event) => { + if (event.key === "Enter" || event.key === " ") { + event.preventDefault(); + toggle.click(); + } + }); + } + const page = location.pathname.split("/").pop() || "introduction.html"; + const legacy = { + "cli.html": { + installation: "install.html", + "ilp-backend": "install.html#optional-features", + "quick-start": "cli.html", + "global-flags": "cli-automation.html", + commands: "cli-catalog.html", + "shell-completions": "cli-completions.html", + "json-output": "cli-automation.html", + "problem-name-aliases": "cli-variants.html", + "pred-list--list-all-problem-types": "cli-catalog.html", + "pred-show--inspect-a-problem": "cli-catalog.html", + "pred-to--explore-incoming-neighbors": "cli-paths.html", + "pred-from--explore-outgoing-neighbors": "cli-paths.html", + "pred-path--find-a-reduction-path": "cli-paths.html", + "pred-export-graph--export-the-reduction-graph": + "cli-automation.html#registry-exports", + "pred-create--create-a-problem-instance": "cli-create.html", + "pred-evaluate--evaluate-a-configuration": "cli-inspect.html", + "pred-inspect--inspect-a-problem-file": "cli-inspect.html", + "pred-reduce--reduce-a-problem": "cli-reduce.html", + "pred-solve--solve-a-problem": "cli-solve.html", + }, + "introduction.html": { + "reduction-graph": "reduction-graph.html", + "our-vision": "introduction.html#research-scope", + "call-for-contributions": "contributing.html", + authorship: "contributing.html#authorship-and-license", + }, + "design.html": { + "module-architecture": "design.html#module-map", + "problem-model": "design-problem.html", + "variant-system": "design-variants.html", + "reduction-rules": "design-reductions.html", + "reduction-graph": "design-paths.html", + "path-finding": "design-paths.html", + "executable-paths": "rust-paths.html", + solvers: "rust-solvers.html", + "json-serialization": "design-serialization.html", + contributing: "contributing.html", + }, + "getting-started.html": { + installation: "getting-started.html", + solvers: "rust-solvers.html", + "the-reduction-workflow": "rust-reduction.html", + "json-resources": "cli-automation.html#registry-exports", + "example-1-direct-reduction--set-packing-to-ilp": "rust-reduction.html", + "example-2-reduction-path-search--integer-factoring-to-spin-glass": + "rust-paths.html", + }, + "mcp.html": { + setup: "mcp.html#install-with-mcp-support", + walkthrough: "mcp-walkthrough.html", + "available-tools": "mcp-tools.html", + "graph-query-tools": "mcp-tools.html#graph-queries", + "instance-tools": "mcp-tools.html#instances", + "available-prompts": "mcp-tools.html#prompt-templates", + }, + }; + const redirect = legacy[page]?.[location.hash.slice(1)]; + if (redirect) { + location.replace(root + redirect); + return; + } + const sidebar = document.querySelector(".sidebar"); + if (sidebar) { + const brand = document.createElement("a"); + brand.className = "docs-brand"; + brand.href = root + "introduction.html"; + const logo = document.createElement("img"); + logo.src = root + "assets/logo.svg"; + logo.alt = "Problem Reductions"; + brand.setAttribute("aria-label", "Documentation home"); + brand.append(logo); + sidebar.prepend(brand); + } + for (const frame of document.querySelectorAll(".cli-cast")) { + frame.addEventListener("load", () => { + const content = frame.contentDocument.querySelector(".wrap"); + if (!content) return; + const resize = () => { + frame.style.height = `${Math.ceil(content.getBoundingClientRect().height) + 2}px`; + }; + new ResizeObserver(resize).observe(content); + resize(); + }); + } + const menu = document.querySelector(".menu-bar .right-buttons"); + if (menu && page !== "print.html") { + const nav = document.createElement("nav"); + nav.className = "docs-tools"; + nav.setAttribute("aria-label", "Documentation resources"); + const links = [ + ["Markdown", "markdown/" + page.replace(/\.html$/, ".md")], + ["All pages", "markdown/index.md"], + ["Open atlas ↗", "index.html#atlas"], + ]; + for (const [label, href] of links) { + const link = document.createElement("a"); + link.textContent = label; + link.href = root + href; + nav.append(link); + } + menu.prepend(nav); + // Resource links replace duplicate repository, edit, and print icon shortcuts. + for (const child of [...menu.children]) + if (child !== nav) child.hidden = true; + } +})(); diff --git a/docs/website/README.md b/docs/website/README.md index c92a2f82e..ed2ef0f6e 100644 --- a/docs/website/README.md +++ b/docs/website/README.md @@ -65,3 +65,51 @@ Set `WEBSITE_BROWSER_CHANNEL=chrome` to use an installed Chrome instead, or `WEBSITE_BASE_URL=http://localhost:3001/` to change the preview address. The suite exercises search, filters, exact variants, deep links, keyboard navigation, clipboard actions, the mathematical example, legacy docs, and mobile overflow. + +## Documentation + +The guide uses short task pages grouped in `docs/src/SUMMARY.md`: start here, +agent workflows, CLI reference, Rust library, and internals. Keep one task or +contract per page and link prerequisites and next steps. Agent prompts name the +actual repository skill file; instructions distinguish implemented capabilities +from the research goal. + +`docs/src/static/docs-theme.css` supplies the restrained dark reading theme; +`docs-theme.js` adds Markdown access and redirects old section links. Native +mdBook search, code copying, and sidebar navigation remain available. Both +mdBook 0.4.37 (deployment) and 0.5.2 are supported. + +The website builder emits `book/markdown/` from the same source pages, expanding +Rust and generated-output includes. The Markdown index is the entry point for +agents. The builder preserves the Markdown index URL after mdBook’s HTML link rewriting. + +To check the complete assembled documentation, build the API and PDF first: + +```sh +make doc +make paper +cp docs/paper/reductions.pdf book/reductions.pdf +uv run --no-project --with playwright python scripts/test_documentation.py +``` + +The checks cover task navigation, search, clipboard, Markdown links and includes, +legacy section redirects, mobile layout, offline playback, and replaying the +recorded CLI workflow against its expected optimum. + +## CLI recording + +`docs/src/static/cli-demo.cast` contains real PTY output from six successful +commands against the current CLI. `cli-demo.html` embeds that cast and +asciinema-player 3.8.0 for offline playback, with autoplay disabled. The bundled +player is Apache-2.0 licensed; its license is alongside the recording. + +To refresh the recording, use the `how-to-demo-cli` skill from +[qude-software-skills](https://github.com/QudeLeap/qude-software-skills/tree/main/skills/how-to-demo-cli). +Build the CLI, create an isolated temporary directory, and place a `pred` symlink +to the new executable there. Record the commands in `docs/src/cli-demo.md`, using +`./pred` in that directory, at 88 columns × 22 rows with `--theme nord`, +`--typing-speed 35`, `--step-pause 2.5`, and `--no-autoplay`. + +Retain real output and exit codes; never substitute a simulated successful run. +The checked-in HTML adds the documentation palette and a compact embedded mode +to the skill's generated wrapper. Preserve those wrapper styles when refreshing. diff --git a/docs/website/assets/site.css b/docs/website/assets/site.css index 3abb763fa..62442056f 100644 --- a/docs/website/assets/site.css +++ b/docs/website/assets/site.css @@ -142,11 +142,10 @@ p { width: min(1280px, calc(100% - 112px)); margin-inline: auto; } -.eyebrow { - font-family: var(--mono); - font-size: 10px; +.context-label { + font-family: var(--sans); + font-size: 12px; font-weight: 400; - letter-spacing: 0.11em; line-height: 1.5; } .site-header { @@ -236,19 +235,6 @@ p { position: relative; z-index: 2; } -.announcement { - display: inline-flex; - align-items: center; - gap: 9px; - border-bottom: 1px solid var(--line); - padding-bottom: 12px; - margin-bottom: 29px; - font-size: 9px; - color: var(--green); -} -.announcement > span:last-child { - margin-left: 12px; -} .status-dot { width: 6px; height: 6px; @@ -345,9 +331,7 @@ p { color: var(--muted); } .map-scale { - font-family: var(--mono); - font-size: 8px; - letter-spacing: 0.1em; + font-size: 11px; } .hero-graph { height: 427px; @@ -460,12 +444,6 @@ p { background: var(--pale); border-radius: 4px; } -.graph-feature .eyebrow { - font-size: 8px; - color: var(--muted); - display: block; - margin-bottom: 4px; -} .graph-feature strong { font-size: 12px; font-weight: 500; @@ -530,11 +508,8 @@ p { align-items: end; margin-bottom: 44px; } -.section-heading .eyebrow { - margin-bottom: 20px; -} .section-heading > p, -.section-heading > div > p:not(.eyebrow) { +.section-heading > div > p { max-width: 405px; font-size: 14px; line-height: 1.85; @@ -558,8 +533,8 @@ p { .problem-card:hover { background: var(--pale); } -.problem-card .eyebrow { - font-size: 9px; +.problem-card .context-label { + font-size: 12px; color: var(--muted); } .problem-card h3 { @@ -608,26 +583,12 @@ p { color: var(--ink); padding-block: 85px; } -.research-section .eyebrow { - color: #b4c7ad; -} .research-section h2 em { color: var(--lime); } .research-section p { color: #b5c5b2; } -.outline-badge { - display: inline-block; - font-family: var(--mono); - font-size: 8px; - letter-spacing: 0.1em; - border: 1px solid #496445; - border-radius: 3px; - color: var(--lime); - padding: 4px 8px; - margin-top: 16px; -} .research-cycle { display: grid; grid-template-columns: repeat(4, 1fr); @@ -642,18 +603,6 @@ p { padding-left: 25px; border-left: 1px solid #3a513d; } -.cycle-number { - display: flex; - justify-content: space-between; - font-family: var(--mono); - font-size: 11px; - color: var(--lime); - margin-bottom: 30px; -} -.cycle-number > span { - font-size: 18px; - font-family: var(--sans); -} .research-cycle h3 { font-size: 18px; margin-bottom: 14px; @@ -662,14 +611,6 @@ p { font-size: 12px; line-height: 1.85; } -.cycle-artifact { - display: block; - font-family: var(--mono); - font-size: 8px; - letter-spacing: 0.05em; - color: #bccfa8; - margin-top: 28px; -} .research-note { display: flex; align-items: baseline; @@ -711,9 +652,7 @@ p { background: #22331f; padding: 5px 8px; border-radius: 4px; - font-family: var(--mono); - font-size: 8px; - letter-spacing: 0.04em; + font-size: 11px; } .featured-copy h3 { font-size: 33px; @@ -746,10 +685,7 @@ p { gap: 70px; align-items: center; } -.infrastructure-section .eyebrow { - margin-bottom: 23px; -} -.infrastructure-section p:not(.eyebrow) { +.infrastructure-section p { font-size: 13px; line-height: 1.9; margin-top: 23px; @@ -782,6 +718,9 @@ p { border-radius: 50%; background: #556e4c; } +.code-panel .terminal-header { + justify-content: flex-end; +} .copy-button { border: 0; background: transparent; @@ -891,15 +830,15 @@ pre { .breadcrumbs a:hover { text-decoration: underline; } -.page-header .eyebrow { - margin-bottom: 18px; +.page-header .pill { + margin-bottom: 20px; } .page-header h1 { font-size: clamp(42px, 5vw, 65px); max-width: 960px; overflow-wrap: anywhere; } -.page-header > p:not(.eyebrow) { +.page-header > p { font-size: 15px; max-width: 680px; line-height: 1.8; @@ -955,7 +894,7 @@ pre { position: sticky; top: 110px; } -.filters .eyebrow { +.filters .context-label { margin-bottom: 13px; color: var(--muted); } @@ -1090,9 +1029,6 @@ pre { border-radius: 6px; padding: 25px; } -.reading-aside .eyebrow { - color: var(--muted); -} .metadata { margin: 21px 0 24px; } @@ -1241,8 +1177,8 @@ pre { font-size: 11px; line-height: 1.8; } -.evidence-item .eyebrow { - font-size: 8px; +.evidence-item .context-label { + font-size: 12px; } .evidence-item a { display: inline-block; @@ -1499,7 +1435,7 @@ pre { margin-bottom: 30px; } .section-heading > p, - .section-heading > div > p:not(.eyebrow) { + .section-heading > div > p { max-width: 550px; } .problem-showcase { @@ -1515,7 +1451,7 @@ pre { grid-template-columns: 1fr 130px; gap: 0 15px; } - .problem-card .eyebrow, + .problem-card .context-label, .problem-card h3, .problem-card p { grid-column: 1; @@ -1609,7 +1545,7 @@ pre { flex-wrap: wrap; gap: 6px; } - .filters .eyebrow { + .filters .context-label { width: 100%; margin-bottom: 5px; } @@ -1651,7 +1587,7 @@ pre { .page-header h1 { font-size: 48px; } - .page-header > p:not(.eyebrow) { + .page-header > p { font-size: 14px; } .atlas-controls { @@ -1705,10 +1641,6 @@ pre { .hero h1 { font-size: 61px; } - .announcement { - font-size: 8px; - gap: 8px; - } .hero-description { font-size: 14px; } @@ -1756,9 +1688,6 @@ pre { .research-cycle p { font-size: 11px; } - .cycle-artifact { - font-size: 7px; - } .evidence-grid { grid-template-columns: 1fr; } diff --git a/docs/website/assets/site.js b/docs/website/assets/site.js index c5875c11a..651bd079e 100644 --- a/docs/website/assets/site.js +++ b/docs/website/assets/site.js @@ -184,7 +184,7 @@ .filter((name) => families.includes(name)) .map((name) => { const variants = variantsOf(name); - return `    ${escape(categories[variants[0].category] || "COMPUTATIONAL PROBLEM").toUpperCase()}

    ${escape(nameOf(name))}

    ${escape(description(name))}.

    ${miniArt(name)}
    ${variants.length} variant${variants.length === 1 ? "" : "s"} · ${edgesOf(name).length} incident reductions
    `; + return `${escape(categories[variants[0].category] || "Computational problem")}

    ${escape(nameOf(name))}

    ${escape(description(name))}.

    ${miniArt(name)}
    ${variants.length} variant${variants.length === 1 ? "" : "s"} · ${edgesOf(name).length} incident reductions
    `; }) .join(""); document.querySelector("#featured-art").innerHTML = complementArt(); @@ -200,7 +200,6 @@
    Home/The atlas
    -

    THE EXECUTABLE ATLAS

    Find your next connection.

    Explore ${families.length} problem families and their implemented @@ -219,14 +218,14 @@ autocomplete="off" />/ - Find a reduction path

@@ -264,7 +263,7 @@ ); }); document.querySelector(".result-count").textContent = - `${results.length} OF ${families.length} PROBLEM FAMILIES`; + `${results.length} of ${families.length} problem families`; document.querySelector("#atlas-results").innerHTML = results.length ? results .map((name) => { @@ -311,8 +310,8 @@ ); } - function codePanel(command, label = "REPRODUCE IN YOUR TERMINAL") { - return `
${label}
${escape(command)}
`; + function codePanel(command) { + return `
${escape(command)}
`; } function problemPage(name, params) { @@ -340,10 +339,6 @@ Home/Atlas/${escape(nameOf(name))}
-

- ${escape(categories[node.category] || node.category).toUpperCase()} / - PROBLEM -

${escape(nameOf(name))}.

${escape(description(name))}.

@@ -395,7 +390,6 @@