- Filter empty EXIF values and join with ' · ' separator (matches grid.rs pattern)
- Single centered text element — no overlap possible
- Fixes 'ISO 1000200mm' visual collision when focal length or aperture missing
(cherry picked from commit 44a29d7fc7)
- Filter empty EXIF values instead of rendering empty strings at fixed positions
- Distribute remaining items evenly across available width using (i + 0.5) / count
- Apply left/center/right alignment dynamically based on item position
- Fixes 'ISO 1000200mm' visual collision when focal length or aperture missing
(cherry picked from commit 28ab23e633)
`lightcraft_raw::sparse::header_plan` says which byte ranges of a raw file the header
probe (`probe_info`, `lightcraft_meta::extract`) reads, given a buffer of the file's length
in which only some ranges are loaded: everything but the bulk sample data (large TIFF
strips/tiles minus the first chunk's coding headers, a CR3's image tracks minus the raw
track's CRX headers and QP maps, a RAF's CFA strip, an RW2's raw data). `preview_plan`
also reads what `embedded_preview` needs, for raws shown from their preview. NEF, ORF and
PEF (their header probe looks at samples) and anything else are read whole.
The corpus test checks, for every raw.pixls.us sample the plan describes, that probing the
partly loaded buffer gives exactly what the whole file gives, with the skipped bytes zero and
again 0xFF: CR3 2.7 %, DNG 2.4 %, CR2 3 %, RAF 6 %, RW2 7 %, ARW 8 % of their bytes.
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
With the Masking panel open the loupe routes clicks to mask_overlay, so the
colorRange eyedropper armed by the Pick button (handled only in
general_interaction) never ran and no sample was taken. mask_overlay now
handles the eyedropper (crosshair cursor, click samples, shift-click adds)
through a shared color_range_pick helper.
Fixes#954
Co-Authored-By: Claude Opus 5.5 (1M context) <noreply@anthropic.com>
Preserve upstream compact-toolbar layout and keyboard regressions alongside the rating and flag padding regression.
Co-Authored-By: GPT-6.1 Sol <noreply@openai.com>
Claude