Describe the dimension, pixel-preservation and extreme-input scenarios and
their synthetic-frame helper to address the review's documentation warning.
Test logic and the crop/resize implementation are unchanged.
AI assistance: OpenAI Codex (GPT-6).
Calculate frame_size from the original rendered dimensions and effective
render scale before cropping, so locked-aspect resize does not apply the
crop margins a second time in its dimension calculation.
Add dimension and decoded-PNG regressions for crop, resize, padding, scaled
ROI, both interpolation qualities, and zero or extreme requested sizes.
AI assistance: OpenAI Codex (GPT-6).
* Dev profile: line tables only for workspace crates, no debug info for dependencies
* xtask ci: dev-profile gate, nextest, tests without examples, wasm --keep-going
* One integration-test binary per crate
* xtask ci: run effectcraft-gpu's shared-device tests in one cargo test process
* xtask ci: run every stage and report all failures
* xtask ci: name the stage type (clippy type_complexity)
* xtask ci: run every test pass and report all failures
* cargo fmt
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