* Inject the session scope instead of the application scope where it's possible.
* Create AppCoroutineScope annotation to let developers explicitly choose the appropriate CoroutineScope when injecting one.
* Remove not helping warning.
* Add and improve tests
* Send the `m.fully_read` read marker when the user navigates back to the room list, to mark the room as read.
`JoinedRoom` will now contain both a mandatory live timeline reference and all the functionality associated to it.
`BaseRoom` on the other hand will contain only functionality that's shared for both joined and not joined rooms.
`NotJoinedRoom` is a wrapper around `RoomPreviewInfo` data and a possible local `BaseRoom`, if it exists.
The `RustRoomFactory` cache is now gone since the persistent event cache should have the same effect.
2 replace all actions have been performed:
- "SPDX-License-Identifier: AGPL-3.0-only" to "SPDX-License-Identifier: AGPL-3.0-only OR LicenseRef-Element-Commercial"
- "Please see LICENSE in the repository root for full details." to "Please see LICENSE files in the repository root for full details."
- New `AudioLevelCalculator` that outputs dB0v rescaled to the [0;1] range.
- `VoiceRecorder` now stores the audio levels sampled while recording, then resamples them to 100 samples to use as waveform preview.
- Waveform data is carried all the way as a `List<Float>` and converted to `List<Int>` in the [0;1024] range as per matrix spec only before sending it.
This is in preparation of further changes to the way the audio level is computed and to allow recording and sending of the waveform. The main reasoning behind the change is twofold:
1) We don't need the precision of Double in our context (we just need a rough indication of the changes in audio level to successfully draw a level meter or a waveform in our UI).
2) Performance: It is true that on 64 bit CPUs single operations involving Floats or Doubles take the same amount of time (i.e one clock cycle). But there are other aspects here that vouch in favor of Floats:
- A float takes half the space in memory compared to a double, so when storing long lists of them this can add up.
- On Android O and greater the ART runtime can "vectorize" certain operations on lists and make use of the CPU's SIMD registers which are generally 128 bits. So by using floats 4 of them can fit and be computed at the same time whilst with doubles only 2 will fit halving the throughput.
References:
- https://source.android.com/docs/core/runtime/improvements
- https://www.slideshare.net/linaroorg/automatic-vectorization-in-art-android-runtime-sfo17216
Benoit Marty