# Test fixtures

Real screenshots of the game, used as regression data. They are the game
author's work, not covered by this repo's MIT license (see `/LICENSE`).

## `map_shots/` + `map_shots_gt.json`

The evaluation set for the map-grid solver (`src/fenigma/map_vision.py`), scored
by `tools/eval_map_vision.py`. The JSON holds hand-transcribed cell labels at
native pixel positions; its own header comment explains the format and the
9%/6% label-padding constant.

Shots wider than 2400px were downscaled to 2400px, and their ground-truth
coordinates rescaled with them. 2400 is `map_vision.RETRY_WORK_W`, the widest
the pipeline ever works at, so nothing the code can actually read was lost.
Measured after the downscale: the same 7 of 10 solve, 100% of their points land
in the correct cell, residual spread unchanged.

`too_hard/` holds shots that are permanent rejections; see its own README.

## `writer_shots/`

Typewriter/field-log screenshots. Two uses:

- Measuring false positives in the map-vs-text routing gate
  (`map_vision.looks_like_map` / `solve`). Over the full 122-shot set the cheap
  gate false-positived on 6% and `solve()` accepted **none**.
- OCR regression material for `ocr.py`.

Kept at NATIVE resolution deliberately: the routing gate only ever sees 1500px,
but OCR needs the text legible, so these must not be downscaled.

Ten shots are committed, chosen to span the capture-scale range (262px to
5366px wide) since scale is what both the gate and OCR are sensitive to. The
false-positive numbers above were measured on all 122; this subset is a
regression guard, not the measurement.