Skip to main content

An LR(1) parser hiding behind a pythonic interface

Project description

Lrparsing provides both an LR(1) parser and a tokeniser. It differs from other Python LR(1) parsers in using Python expressions as grammars, and offering simple to use disambiguation tools.

The result is something that is powerful yet concise. For simple tasks this means it can be thought of as an extension to Python’s existing re module, used when regular expressions become too cumbersome. For complex tasks offers a high speed parser (very roughly 25us per token from string to parse tree on a desktop CPU), pre-compilation of the grammar and error recovery hooks so parsing can continue after an error is found.

In addition to extensive documentation it comes with a parser for Sqlite3 data manipulation statements and a Lua 5.2 to Python compiler as examples. The documentation can be read online at http://www.stuart.id.au/russell/files/lrparsing/doc.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

lrparsing-1.0.tar.gz (298.8 kB view hashes)

Uploaded Source

Built Distribution

lrparsing-1.0.linux-x86_64.tar.gz (56.0 kB view hashes)

Uploaded Source

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page