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Add docs pages, remove useless submodules (#44)
* add mkdocs library for docs * fix deploy config * Update docs, remove useless submodules
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.github/dependabot.yml

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.github/workflows/build.yml

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.github/workflows/ci.yaml

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name: ci
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on:
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push:
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branches:
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- main
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- bachish/add-docs-pages
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permissions:
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contents: write
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jobs:
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deploy:
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runs-on: ubuntu-latest
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defaults:
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run:
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working-directory: docs
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steps:
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- uses: actions/checkout@v4
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- name: Configure Git Credentials
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run: |
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git config user.name github-actions[bot]
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git config user.email 41898282+github-actions[bot]@users.noreply.github.com
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- uses: actions/setup-python@v5
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with:
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python-version: 3.x
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- run: echo "cache_id=$(date --utc '+%V')" >> $GITHUB_ENV
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- uses: actions/cache@v4
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with:
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key: mkdocs-material-${{ env.cache_id }}
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path: ~/.cache
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restore-keys: |
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mkdocs-material-
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- run: pip install mkdocs-material
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- run: mkdocs gh-deploy --force

.github/workflows/jar.yml

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.github/workflows/jekyll-gh-pages.yml

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.github/workflows/publish.yml

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.github/workflows/test.yml

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README.md

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> Note: project under heavy development!
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Please, see [documentation](https://formallanguageconstrainedpathquerying.github.io/UCFS/) for details.
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## What is UCFS?
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UCFS is an **U**niversal **C**ontext-**F**ree **S**olver: a GLL‑based tool for problems at the intersection of context‑free languages
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### Repository layout (high‑level)
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```
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benchmarks/ # ANTLR4 comparison & perf harness (examples, scripts)
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examples/ # Grammar examples (A*, Dyck, etc.)
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generator/ # Parser & AST node‑class generator
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docs/ # documentation pages
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generator/ # Parser & AST node‑class generator <in progress>
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solver/ # Core UCFS logic (GLL + RSM)
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src/ # CLI and library entry points
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test-shared/ # Testcases, grammars, inputs
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test-shared/ # Testcases, grammars, inputs, ANTLR4 comparison
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# grammar examples and experiments
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```
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### Requirements
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## Core Algorithm
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UCFS is based on Generalized LL (GLL) parsing algorithm modified to handle language specification in form of Recursive State Machines (RSM-s) and input in form of arbitratry directed edge-labelled graph. Basic ideas described [here](https://arxiv.org/pdf/2312.11925.pdf).
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UCFS is based on Generalized LL (GLL) parsing algorithm modified to handle language specification in form of Recursive State Machines (RSM) and input in form of arbitratry directed edge-labelled graph. Basic ideas described [here](https://arxiv.org/pdf/2312.11925.pdf).

benchmarks/README.md

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benchmarks/build.gradle.kts

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