GitLab

Currently our test suites automatically/silently skip tests on C++ extension
if it is not available. This is nice in local env, but in CI these tests should be
enforced and reported as failure if C++ extension is not available.

This PR adds switch for making tests fail if C++ extension is not available,
and make CI for *nix fail if that's the case.

Currently macOS CI job takes twice the time of linux unit tests.
This PR uses `pytest-xdist` to run unit tests in parallel on macOS CI job. 

Interestingly applying the same technique to linux unit tests make the test execution longer.
So the change is only applied to macOS.

macOS 27 mins -> 17 mins 😸
linux 14 mins -> 1 hours 😾

* Use cmake for third party

* Apply patch to libmad

* Update gitignore

* Update docker test image

* Separate style check from unit test

* TEST flake8 fail

* TEST clang-format fail

* Revert "TEST flake8 fail"

This reverts commit 88d90185cefe294b9a662129a05c2e26a9844fe4.

* Revert "TEST clang-format fail"

This reverts commit 93517d1ccba650a6ccd813268fd73a4fd63b252c.

* Clean up extension build mechanism and extension location

* Add back the switch to depend on external sox

* Remove print

* Fix

* Turn on tests when building through conda-build

* skip one failling test on windows.

* Switch to unittest

* Fix conda env activation

* add linux only condition

* Fix librosa installation

* conda-forge channel as a fallback

* Revert "conda-forge channel as a fallback"

This reverts commit 8c15f6638e34792640a3de3e057d9c2995425180.

* Try the pytorch way

* Use conda-forge

* Disable conda-forge

* Install future at setup env

* Move linux unittest CI job tools to dedicated directory

* Restore Linux scripts and move the updated souces to a new subdir

* Add back future

* Remove comments
Co-authored-by: Vincent Quenneville-Belair <vincentqb@gmail.com>
Co-authored-by: moto <855818+mthrok@users.noreply.github.com>

* Bust cache weekly

* Rename directory for utility

* Show 20 slowest tests

* fixup! Show 20 slowest tests

* Add test image with Kaldi executable and third_parties

* Use Ubuntu as bese image since pytorch/many-linux is huge

* wip

* Add test

* add caching

* fixup! add caching

* fixup! fixup! add caching