Fine-grained Language Composition: A Case Study -- Artefacts
PyHyp can be downloaded, and build instructions found, on its its
. It is recommended to use it with the Eco editor,
which can be downloaded here
The paper contains performance benchmarks. We believe strongly in repeatability
in computing experiments, so we provide artefacts that allow others to repeat
and inspect our experiments.
Our files are kindly hosted by
The Internet Archive under the identifier
The easiest way to see our experiments and demos in action is to download and
run our VirtualBox VM image. Simply untar the archive and read the enclosed
Full source code and build instructions for the benchmarks is available
Our hope is that others can easily run our experiments and study
the output on their particular setup.