fix: camera-dependent artifacts (squares / parallel lines) in Area Detector live view — Sector 4

[Osayi-ANL]

Issue

Sector 4 specific — reproduced at Sector 4 with specific detector/camera configurations. Not yet tested in post-processing workbench.

The Area Detector live view displays visual artifacts that vary by camera. Two known forms:

1. Squares — blocky rectangular artifacts tiled across the image
2. Parallel lines — horizontal or vertical banding overlaid on the data

The artifacts appear to be an artifact of how the raw PVA frame is reshaped into a 2D image — the pixel ordering (C vs Fortran) or shape assumptions may not match the actual camera output layout.

Files:

• src/dashpva/utils/pva_reader.py:411 — image.reshape(self.shape, order=self.pixel_ordering) — if pixel_ordering doesn't match the camera's actual row layout, the entire frame is misinterpreted, producing tile or banding patterns
• src/dashpva/viewer/area_det/area_det_viewer.py:1555 — np.transpose / np.rot90 applied after reshape; a non-contiguous array at this point could compound the artifact

Fixes

• src/dashpva/utils/pva_reader.py:411 — investigate whether Sector 4 cameras require a different pixel_ordering; add np.ascontiguousarray() after reshape to eliminate stride-based rendering issues
• Cross-check the camera's reported dims attribute against the assumed self.shape to catch shape mismatches before they reach setImage

Acceptance Criteria

• Connect to a Sector 4 camera that previously showed square artifacts in live view — image renders cleanly with no tiling
• Connect to a Sector 4 camera that previously showed parallel line artifacts — image renders cleanly
• Other cameras/detectors at other sectors are unaffected