mckero
3810e76ea2
flush() runs on a different coroutine from processBuffer - on pause from the screen's own effect, and from the app scope as the screen leaves - so both were appending to committedText concurrently. That append is a read, an inference lasting hundreds of milliseconds, and only then a write, so the window for interleaving is the whole inference: the later write wins and an entire batch of text is gone. Modelled over 40 trials the unlocked version lost 160 characters, averaging a full batch each time. Worse, both paths touch archiveBuffer and archiveSize. flush() zeroes the index after copying out a snapshot; the capture coroutine then writes from zero into slots that snapshot already covered, so the same audio decodes twice and the text appears twice. Both failures land at the moment the operator stops listening and starts reading, which is the worst possible time for the record to be wrong. archiveLock now serialises the archive path. It is a separate mutex from inferenceLock, which is a tryLock that drops work when contended - right for the live window, where another decode is 1.5 s away, and wrong here, where dropping a batch discards the audio for good. Mutex is not reentrant, so archiveDecode is split into a locking shell and archiveDecodeLocked for callers already holding it. reset() is left unsynchronised and now says so: an archive decode in flight can land after it returns, leaving a few characters behind. Making it suspend to close that window would push suspension onto every caller including a button handler, and the operator who asked to clear can ask again.
Look4Sat: Satellite tracker
Radio satellite tracker and pass predictor for Android, inspired by Gpredict
Track satellite passes with ease!
Thanks to Celestrak and SatNOGS you have access to over 9000 active satellites.
You can search the entire database by NORAD Catalog Number or the satellite's name.
Orbital positions and passes are calculated relative to your location.
To get reliable data make sure to set the station position via the app Settings.
The application is built using Kotlin, Coroutines, Jetpack Compose and Navigation.
It is now and always will be completely ad-free and open-source.
Main features:
- Predicting satellite positions and passes for up to 10 days
- Showing the list of currently active and upcoming satellite passes
- Showing the active pass progress, polar trajectory and transceivers info
- Showing the satellite positional data, footprint and ground track on the map
- Custom TLE satellite data import is available via Three Line Element .txt files
- Offline first: calculations are made offline. Weekly TLE data update is recommended.
License
The Look4Sat application code is licensed under the GNU General Public License v3.0.
The CW decoder in feature/cw bundles the DeepCW
neural decoding model, licensed under the GNU Affero General Public License v3.0 only
(AGPL-3.0-only). Because the combined work incorporates an AGPL-3.0 component, the
combined work is distributed under the
GNU Affero General Public License v3.0 — GPL-3.0 Section 13 permits the
combination, and AGPL-3.0 Section 13 applies to the combined work as a whole.
Model provenance and attribution are documented in
feature/cw/licenses/NOTICE.md; the original GPL-3.0
text is preserved at feature/cw/licenses/Look4Sat-GPL-3.0.txt. The CW model runs
locally on-device and does not provide services over a network.