motion

You can debug UI animation timing and overshoot by using a runtime inspector wire to capture scalar values, geometry, and scroll state over time without modifying your Pulp application source code.

Deterministic fixture-based regression testing records UI motion behavior as JSONL files to create golden-standard assertions, allowing CI/CD pipelines to validate animation timing, monotonicity, and overshoot against expected baseline data.

Animation rendering performance drops can be identified by enabling cost-tracking probes to measure render pass duration and dirty rect areas, providing precise cost attribution analysis for expensive animations in complex UI transitions.

Yes, you can use Python3 with OpenCV and Pillow dependencies to observe scroll state and geometry during animations, capturing motion data via the inspector wire into JSONL fixture files for analysis.

Motion testing works with cross-platform Pulp applications by applying the runtime inspector wire to observe and validate animation behavior, capturing scalar values and scroll state regardless of the target platform.

The best way to validate animation monotonicity in CI/CD pipelines is recording motion fixtures as JSONL golden-standard files, then running deterministic assertions against captured scalar values and geometry data to detect regressions automatically.