Public Access
markusro
18e085d3ee
The previous blit path converted the whole axes bbox (several megapixels on HiDPI displays) from RGBA to premultiplied ARGB on every motion event, costing about 84 ms per frame on a maximized window. Per frame now only the thin strips around the old and new line positions are erased from a cached full-figure background, redrawn and blitted, which brings the frame cost below 1 ms. - BlitSafeCanvas paints blitted regions immediately instead of queueing them, which kept regular paints partial and wiped the axis labels - CrosshairCursor coalesces motion events to 60 fps and erases strips by direct numpy copy from the background; matplotlib's restore_region with a bbox argument addresses a different coordinate frame and restores the wrong area, so it is avoided - after a full render the old line positions are blitted right away, otherwise motion events processed before the pending repaint drew the cursor at its new position next to the stale one on screen - clear_display recreates the crosshair so it survives plot switches Generated by Mistral Vibe. Co-Authored-By: Mistral Vibe <vibe@mistral.ai>
Installing into private directory
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1. Create a venv and include the system-site packages:
`python3 -m venv venv --system-site-packages`
2. Active that venv: `. venv/bin/activate`
3. Install an editable package: `pip install --no-deps -e .`
This will use the system packages already installed.
Alternatively you can install withoout the system-site-packages:
python3 -m venv venv
. venv/bin/activate
pip install -e .
This will download newer packages and install them in the venv.
Using uv
========
Dependicies needed:
sudo apt install libgirepository1.0-dev pkg-config
Then you can start DAMARIS3:
uv run DAMARIS3