This repository provides a Lean 4 tactic `smt` that automates theorem proving by delegating goals to the cvc5 SMT solver and reconstructing the resulting proof in Lean. It supports a range of theories including uninterpreted functions, linear integer and real arithmetic, bitvectors, strings, and quantifiers. The codebase is organized into preprocessing (normalization, monomorphization, embedding), translation to SMT-LIB, solver communication, and proof reconstruction for each theory. The project is in beta but actively developed, with extensive test coverage across supported domains. While the primary interface is a tactic, the architecture reveals multiple reusable components such as an S-expression DSL, SMT term representation, graph data structure, and a configurable WHNF reduction engine. The main entry point is `Smt/Tactic/Smt.lean`, and the library is distributed as a Lean package. The code is tightly integrated with the cvc5 FFI and Lean's metaprogramming infrastructure, making it primarily a library rather than a standalone application, but it fits the 'application' category as a tool for interactive theorem proving.
This repository is the content generation and build system for the interactive textbook *Mathematics in Lean*. It is a hybrid project: primarily a set of Python scripts and a Lean 4 project that together produce the textbook in multiple formats (Sphinx RST/HTML/PDF), as well as a separate user repository with exercise stubs and solutions. The core pipeline parses Lean source files annotated with custom directives (`TEXT`, `EXAMPLES`, `SOLUTIONS`) via `scripts/mkdoc.py` to generate textbook prose and Lean exercise files. A Sphinx build then produces the final HTML/PDF documentation. The Lean source files themselves cover mathematics from basic arithmetic to measure theory, heavily leveraging the Mathlib library. The repository includes CI/CD workflows (GitHub Actions), developer environments (Devcontainers, Gitpod), and testing scripts that verify the generated Lean files compile. While not a traditional application, it functions as a specialized toolchain for creating and deploying formal mathematics educational content.
This repository is a collection of GitHub Actions workflows for automated building of OpenWrt firmware images. It does not contain application code; instead, it orchestrates the compilation of OpenWrt from various upstream sources (Lean, Lienol, immortalwrt) with custom configurations, patches, and package feeds. The workflows handle cloning source code, applying customizations, compiling firmware, and uploading artifacts to Cloudflare R2, GitHub Releases, and Docker Hub. The repository is essentially a CI/CD configuration hub for producing customized OpenWrt images for multiple targets including x86, NanoPi R4S/R5S/R6S, and others. There are no reusable software components; the value lies in the automation patterns for embedded firmware builds.