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.
GitOrigin-RevId: ac60fd3cf4a24023184376687da28373d14b781a
This mirrors the robotpy files for the following projects:
- apriltag
- datalog
- hal
- ntcore
- romiVendordep
- wpilibc
- wpimath
- xrpVendordep
This excludes cscore and the halsim wrappers for at this time.
NOTE: This does not hook these projects up to the build system, just simply mirrors the files. The building will take place in a follow up PR to make it easier to review the changes necessary to build.
Unlike armv7, aarch64 doesn't have alignment assertions for SIMD instructions. The compiler output between the aligned and unaligned variants is the same.
I upgraded all plugins I could see except org.ysb33r.doxygen. 2.0 made
breaking changes, and I couldn't figure out how to migrate.
Most of the changes are for suppressing new linter purification rites.
* Move units into API docs instead because suffixes make user code verbose and hard to read
* Rename trackWidth to trackwidth
* Make ultrasonic classes use meters instead of a mix of m, cm, mm, ft,
and inches
Many LED strips use different color order (GRB in particular is common).
This makes the change at the HAL level. This solves 2 problems; first, no code needs to change in the high level drivers, which was challenging for C++, and second, simulation will behave properly as no conversion is needed. The HAL will accept an array of data objects in the same order no matter what the selected output order is, and will convert before sending it to the FPGA for output.
To accomplish this, NEON bulk load/interleave instructions are utilized. The low level implementation (load, store, and alignment functions) come from the Simd Library. The high level implementations are inspired by the image conversion functions in the simd library, but have diverged significantly.
Much of the implementation uses templates and inlined functions rather than runtime parameters; This is a trade off between the size of the generated code and the amount of function calls done at runtime. Currently, the entire conversion operation is inlined.
