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This repository contains the experimental code and data for the paper: Relational Decomposition for Program Synthesis, by Céline Hocquette and Andrew Cropper, accepted at IJCAI2025.

Requirements

Data

The raw data and parsing files for the relational decomposition approach are in the folder raw_data. The input data for the relational and functional representations is in the folders /train/{domain}. The results are in the folder /programs/{domain}/{task}. In these folders are the results for each of the three trials.

Usage

You can parse the data with the command: python parse_data.py, after setting the domain in this file.

You can reproduce the results with the command: python results.py, after setting the maximum learning time, the tasks, and domain in this file.

You can run the learning/training again with the command: bash do_train.py, after setting the maximum learning time, the tasks, domain, and number of cpus in this file.

You can run the testing again with the command: bash do_test.py, after setting the maximum learning time, the tasks, domain, and number of cpus in this file.

About

C. Hocquette and A. Cropper, Relational decomposition for program synthesis, IJCAI25

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