Lexical Analyzer Generator

Purpose-built for language toolchains, this tool converts a formal set of token rules into a usable lexer in a chosen programming language. It documents token precedence, resolves conflicts via longest-match rules, and outputs a ready-to-use scanner skeleton along with a token table. Conceptually, it builds an NFA from each regex, converts to a DFA, and emits language-specific source with a clean token stream. Beneficiaries include compiler teams, language researchers, and education labs needing repeatable lexers. Core features cover required regex-to-lexer pipelines, while advanced options add lexical states, Unicode handling, and action hooks. Outputs include the generated code, token_definitions, and a test_report that demonstrates tokenization on sample input. The tool focuses on reliability, transparency of rules, and easy integration into existing toolchains. Distinguishing value comes from explicit precedence handling, clear token metadata, and multi-language output templates that reduce manual boilerplate. Typical use cases: tokenizing source files, preprocessing steps in compilers, and teaching tokenization concepts in coursework. The approach is language-agnostic at the design level but produces concrete code for the target language, enabling rapid iteration and verification.