Tagging todos that seem to have a plan ready as confirmed.
Also closed some old ones for various reasons. Including several that
turn out to be addressed by newer features.
Also opened a new todo about git-annex-config needing a criteria to add
new configs to it.
Default to the number of CPU cores, which seems about optimal
on my laptop. Using one more saves me 2 seconds actually.
Better packing of workers improves speed significantly.
In 2 tests runs, I saw segfaulting workers despite my attempt
to work around that issue. So detect when a worker does, and re-run it.
Removed installSignalHandlers again, because I was seeing an
error "lost signal due to full pipe", which I guess was somehow caused
by using it.
Sponsored-by: Dartmouth College's Datalad project
Note the very weird workaround for what appears to be some kind of tasty
bug, which causes a segfault. This is not new to this modification,
I was seeing a segfault before at least intermittently when limiting
git-annex test -p to only run a single test group.
Also, the path from one test repo to a remote test repo used to be
"../../foo", which somehow broke when moving the test repos from .t to
.t/N. I don't actually quite understand how it used to work, but
"../foo" seems correct and works in the new situation.
Test output from the concurrent processes is not yet serialized.
Should be easy to do using concurrent-output.
More test groups will probably make the speedup larger. It would
probably be best to have a larger number of test groups and divvy them
amoung subprocesses numbered based on the number of CPU cores, perhaps
times 2 or 3.
Sponsored-by: Dartmouth College's Datalad project
Avoid git-annex test being very slow when run from within the standalone
linux tarball or OSX app.
It may not really be necessary to add to PATH the directory where the
git-annex binary resides, but it can't hurt. Most places where the test
suite or git-annex run git-annex, they use programPath, so won't need
a modified PATH. But I'm not sure if that's always the case.
Sponsored-by: Dartmouth College's Datalad project
