PyTactician

PyTactician is a Python Library for interfacing with the Coq Proof Assistant and its Tactician plugin and reading associated datasets. The major version number x of this library indicates the version of the communication protocol. Any PyTactician version x.y is compatible with the communication protocol x.

Installation

Binary wheels are provided for Linux and MacOS. On those platforms you can install by executing pip install pytactician. If you need to install from source, you need to have Capt'n Proto >= 0.8 installed on your system. See the main repo README for more details on prerequisites.

Usage

The Python software provides both a software library to work with the graph based datasets extracted from Coq and a number of executables. Available executables are as follows (use the --help flag for each executable to learn about all the options).

• pytact-check [-h] [--jobs JOBS] [--quick] [--verbose VERBOSE] dir Run sanity checks on a dataset and print some statistics.
• pytact-visualize [-h] [--port PORT] [--hostname HOSTNAME] [--dev] dataset: Start an interactive server that visualizes a dataset.
• pytact-server [-h] [--tcp TCP] [--record RECORD_FILE] {graph,text} Example python server capable of communicating with Coq through Tactician's 'synth' tactic To learn how to interface Coq and Tactician with this server, see the sections below.
• pytact-oracle [-h] [--tcp PORT] [--record RECORD_FILE] {graph,text} dataset A tactic prediction server acting as an oracle, retrieving it's information from a dataset
• pytact-fake-coq [-h] (--tcp TCP_LOCATION | --stdin EXECUTABLE) data A fake Coq client that connects to a prediction server and feeds it a stream of previously recorded messages.
• pytact-prover: A dummy example client that interfaces with Coq and Tactician for reinforcement-learning-style communication. To learn how to interface Coq and Tactician with this client, see the sections below.

Documentation

TODO: Point to documentation