There were complaints about no patch files being created from CI when
the examples pre-gen fails for people who don't build with bazel. This
adds a new action step to run just the non-robotpy pregen.
I also added an argument to the diff tests to make it a unified diff,
which might make it easier to hand fix.
Originally started with just swerve, but expanded to diff and mecanum
(docs only) for parity across the drivetrains. Return value checks are
applied when possible to make migration easier and to error loudly if
people forget.
---------
Co-authored-by: Joseph Eng <91924258+KangarooKoala@users.noreply.github.com>
Jackson is a very heavy library; it supports loads of features that we
don't need, and historically has caused issues due to long class loading
times (a little over 2 seconds to load AprilTagFieldLayout). This often
manifests as a help request in the form of "my robot disables when I do
X, but doesn't disable when doing X in subsequent attempts until code
restart." While SC has brought down Jackson loading times significantly,
with AprilTagFieldLayout loads taking only 330 milliseconds, that's
still a rather long delay, and while libraries should handle any JSON
loading ahead of time to prevent delays in auto/teleop, it would still
be good to make the worst case better to reduce user frustration.
Benchmarks indicate using [Avaje
Jsonb](https://github.com/avaje/avaje-jsonb) to load AprilTagFieldLayout
only takes ~70 ms, a fair chunk of which isn't actually in Avaje Jsonb
(~4 ms is spent on using getResourceAsStream to retrieve the JSON file,
~8 ms is spent on just loading the AprilTag class and its dependencies).
Note that all times listed are end-to-end, meaning nothing else was done
except for the operation being benchmarked, and doing arithmetic on them
can be flawed due to some classes being loaded twice, i.e.,
getResourceAsStream and `new AprilTag()` likely load some of the same
JDK classes and so subtracting both from the Avaje Jsonb load time is
likely slightly incorrect because class loading is being double counted.
For our purposes, it's likely accurate enough and is mostly just for
contextualization.
Benchmarks were run on a Raspberry Pi CM5 with 2 GB of RAM. Source code
for the
[results](https://github.com/user-attachments/files/26471452/benchmark.txt)
can be found in the "Fastjson2" commit
(2456d15ca8ebd17635e607cd40bf8816e77869a1).
Avaje Jsonb uses code generation via annotation processors to generate
the classes needed to do JSON serde and uses service providers to find
them, which will require downstream changes in robot projects, as the
different service providers in each library must be merged together for
Avaje Jsonb to function. We will use the Gradle shadow plugin, as its
already used by the installer and therefore adds zero additional
dependencies.
The wrapper includes reverse mode autodiff, the Problem DSL, and the
optimal control problem API. I wrote it by directly translating the
upstream
[API](https://github.com/SleipnirGroup/Sleipnir/tree/main/include/sleipnir)
and [tests](https://github.com/SleipnirGroup/Sleipnir/tree/main/test) to
Java (i.e., copy-paste-modify).
I replaced the ArmFeedforward and Ellipse2d JNIs with implementations
using the Sleipnir Java bindings. Switching dev binary JNIs to release
by default sped up wpimath test runs from several minutes to 7 seconds.
Resync with `mostrobotpy`
This mostly involves the big "ignore almost everything in the HAL
project" and some fixups for the Addressable LED classes.
Required two small hand fixes to get it building over here with bazel,
and with more compiler warnings on.
I also manually zeroed out the `repo_url` field in the toml files to
avoid unnecessary churn whenever it goes from a release build to a
development build. I already did this with `version` field in there, and
will do a follow up PR that updates the copybara script to do it
automatically.
---------
Co-authored-by: Default email <default@default.com>
This pulls down the prebuilt ceres libraries and uses them with Bazel to
build and test wpical.
Do note that bazel looks up artifacts used for testing differently than
the other build systems. It wants you to use its runfiles API to find
the dependencies reliably. Add a function to look up the paths for
files, and use runfiles only when building with Bazel to maintain
compatibility with other languages.
Signed-off-by: Austin Schuh <austin.linux@gmail.com>
This follows the gradle build accurately. Gradle copies debug symbols
into a second file (libfoo.so.debug) and links it back into the .so
file. Disable this behavior when gradle doesn't do it today.
Also, name everything correctly. When building debug builds, most
libraries get a 'd' at the end of them. Do that here too.
wpimath otherwise quickly gets too many symbols. Instead, gradle
exports only some of the symbols from protobuf files automatically, and
then manually exports the math operations. Do that here too.
Signed-off-by: Austin Schuh <austin.linux@gmail.com>
