The previous system of relying on test name prefixes for ordering was
simple, but organizing tests by dependencies and topologically sorting
during compilation is 1. more flexible and 2. simplifies test names,
which get typed a lot.
Note these are not "hard" dependencies, each test suite should work fine
in isolation. These "after" dependencies just hint an ordering when all
tests are ran.
As such, it's worth noting the tests should NOT error of a dependency is
missing. This unfortunately makes it a bit hard to catch typos, but
allows faster compilation of a subset of tests.
---
To make this work the way tests are linked has changed from using custom
linker section (fun linker magic!) to a weakly linked array appended to
every source file (also fun linker magic!).
At least with this method test.py has strict control over the test
ordering, and doesn't depend on 1. the order in which the linker merges
sections, and 2. the order tests are passed to test.py. I didn't realize
the previous system was so fragile.
It doesn't make sense to test more complex logic, such as t2_btree.toml,
when the logic it is built on, t1_rbyd.toml, does not past testing. The
test runner already guarantees a consistent lexicographic order, so all
we need to do is renamed these from test_* -> tn_*.
Note, if we every have more than 10 tests, we will need to bump up the
number of digits for all tests, so t1_rbyd.toml -> t01_rbyd.toml. This
is the main downside of lexicographic ordering. But we'll cross that
bridge when we get to it.
- Added both uattr (limited to 256) and id (limited to 65535) benchmarks
covering the main rbyd operations
- Fixed issue where --defines gets passed to the test/bench runners when
querying id-specific information. After changing the test/bench
runners to prioritize explicit defines, this causes problems for
recorded benchmark results and debug related things.
- In plot.py/plotmpl.py, made --by/-x/-y in subplots behave somewhat
reasonably, contributing to a global dataset and the figure's legend,
colors, etc, but only shown in the specified subplot. This is useful
mainly for showing different -y values on different subplots.
- In plot.py/plotmpl.py, added --labels to allow explicit configuration
of legend labels, much like --colors/--formats/--chars/etc. This
removes one of the main annoying needs for modifying benchmark results.
Christopher Haster