Trinity+: Next-generation Synthesizer for Data Science

Dev Environment Setup

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