Cleanup

tests/fixtures/README.md

@@ -19,31 +19,12 @@ python3 scripts/split_nsfw_test_image.py /path/to/input.jpg --output-dir tests/f
 python3 scripts/split_nsfw_test_image.py /path/to/safe.jpg --output-dir tests/fixtures/non_nsfw
 ```
 
-Each command automatically selects the first unused positive index, starting with
-`image_1a.png` and `image_1b.png`. Indices with either part already present are skipped.
-You can override the selection with `--index 2`; existing parts are never overwritten.
-Each part contains random-looking
-RGBA pixels. The original decoded pixels, including alpha, are recovered by XORing the two
-parts. Only the first frame of animated input is used. Keep both files unchanged: resizing,
-re-encoding with loss or flattening their alpha channels prevents correct reconstruction.
-Both parts together reconstruct the original image, so splitting is not access control.
-
-Run the splitter's round-trip and overwrite checks with
-`python3 -m unittest discover -s scripts -p 'test_*.py'`.
-
-The directories initially contain no images. The two dataset tests are explicitly ignored
-until you provide fixtures. To run them after adding pairs to both directories:
+To run the tests:
 
 ```sh
 SQLX_OFFLINE=true cargo test --locked directory_images -- --ignored
 ```
 
-The tests load all numbered pairs, recombine them in memory and pass the reconstructed PNG
-through the production upload moderation function using the bundled model and its current
-threshold. They also check that disabling moderation accepts the reconstructed images.
-Empty directories, missing partners, mismatched dimensions, unexpected names and unexpected
-moderation results fail the tests. Recombined images are never written to disk.
-
 ## Deterministic model fixtures
 
 To regenerate them with Python's `onnx` package: