The spiraling issue occurs when the vision rotation standard deviation is very high relative to the odometry rotation standard deviation and the vision measurements have a large rotation error. (Scaling the rotation component of a twist without scaling the translation component causes the direction of overall translation to change, leading to spiraling around (either towards or away) the vision measurement instead of moving towards it.) Using a transform instead of a twist avoids this issue.
In general, scaling twist components is more mathematically correct than scaling transform components. However, although twists are correct for modeling uncertainty in an odometry-only pose estimate, they are not correct for the difference between the odometry-only pose estimate and a vision measurement. Since neither twists nor transforms are completely correct (and the pose estimator as a whole is not mathematically correct), but using transforms can guarantee that the pose estimate approaches the vision measurement (instead of potentially spiraling away), they are the least bad option.
These are out of date, and nothing uses them in allwpilib; wpilibpi used
them but a more major upgrade is needed there.
While we may in the future add integrated support for e.g. an integrated
NT viewer, it's unlikely we would use these versions.
CoroutineYieldInLoopDetector
This checks for while loops where coroutines are in scope but without calling a blocking method on at least one of those coroutines:
```
drivetrain.run(theCoroutine -> {
while (drivetrain.getDistance() < 10) { // ERROR: "Missing call to `theCoroutine.yield()` inside loop"
drivetrain.setSpeed(1);
}
});
```
Note that, because we assume most looping constructs in commands will use while loops, we don't check for-loops, for-each loops, or do-while loops.
This check can be disabled with `@SuppressWarnings("CoroutineYieldInLoop")`
CodeAfterCoroutineParkDetector
Essentially acts like the Java compiler's check for code after a while (true) loop, but for coroutine.park():
```
drivetrain.run(theCoroutine -> {
drivetrain.setSpeed(1.0);
theCoroutine.park();
drivetrain.setSpeed(0.0); // ERROR: "Unreachable statement: `theCoroutine.park()` will never exit"
});
```
This check can be disabled with `@SuppressWarnings("CodeAfterCoroutinePark")`
IncorrectCoroutineUseDetector
Checks for usage of captured (outer) coroutine parameters and assignments to fields.
```
drivetrain.run(outer -> {
outer.await(arm.run(inner -> {
outer.yield(); // ERROR: "Coroutine `outer` may not be in scope. Consider using `inner`"
}))
});
```
This check can be disabled with `@SuppressWarnings("CoroutineMayNotBeInScope")`
```
private Coroutine coroutineField;
drivetrain.run(co -> coroutineField = co); // ERROR: "Captured coroutines may not be stored in fields"
```
This check can be disabled with `@SuppressWarnings("CoroutineCapture")`
clang-format 21 made some formatting changes. Since wpiformat's stdlib
task was removed, I removed NOLINT comments for it and removed some
std:: prefixes it added to comments.
Adds snippets demonstrating ProfiledPIDController usage with
SimpleMotorFeedforward using the two-parameter calculate() method
(currentVelocity, nextVelocity).
These snippets will be used in frc-docs to document the recommended
feedforward pattern with ProfiledPIDController.
Co-authored-by: sciencewhiz <sciencewhiz@users.noreply.github.com>
Instead of just having a max count for joystick values, there's an available mask of values. This is because in the future we're expecting there to be holes in the list of available buttons and axes. This updates everything to support that scenario.
Also, Joystick buttons, axes, and POVs all now start at 0 instead of 1.
* [bazel] Package headers in ntcoreffi correctly
The original package includes headers from ntcore and wpiutil, so
include those too.
* Merge in new 2027
