Trinity+: Next-generation Synthesizer for Data Science

Dev Environment Setup

• Prerequisite:
  • python 3.6+
• It is preferable to have a dedicated virtualenv for this project:

    $ git clone <this repo>
    $ cd <this repo>
    $ cd tyrell
    $ mkdir venv
    $ python3 -m venv venv
    $ source venv/bin/activate
    $ cd ..

• Install R if you have not.
• Install the R packages dplyr, tidyr, and compare
• Make an editable install with pip. This would automatically handles package dependencies. One of our dependency, z3-solver, takes a long time to build. Please be patient.

    $ python3 -m pip install --upgrade pip
    $ pip install wheel sexpdata rpy2 compare
    $ pip install -e ".[dev]"
    $ python3 setup.py sdist  # for package

• Test whether the installation is successful

    $ parse-tyrell-spec example/toy.tyrell

• Run all unit tests

    $ python -m unittest discover .

• Create a distribution tarball

    $ python setup.py sdist

Tarball will be available at dist/tyrell-<version>.tar.gz

• Build HTML documentation

    $ cd docs
    $ make html

Documentations will be available at docs/_build/html/index.html

References

• Jia Chen, Ruben Martins, Yanju Chen, Yu Feng, Isil Dillig. Trinity: An Extensible Synthesis Framework for Data Science. PVLDB'19.
• Yu Feng, Ruben Martins, Osbert Bastani, Isil Dillig. Program Synthesis using Conflict-Driven Learning. PLDI'18.
• Yu Feng, Ruben Martins, Jacob Van Geffen, Isil Dillig, Swarat Chaudhuri. Component-based Synthesis of Table Consolidation and Transformation Tasks from Examples. PLDI'17
• Yu Feng, Ruben Martins, Yuepeng Wang, Isil Dillig, Thomas W. Reps. Component-Based Synthesis for Complex APIs. POPL'17