testsAndMisc/python_pkg/artgate/subjects.py
Krzysztof kuhy Rudnicki 691a228499
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artgate: procedural + vector routes, and the shared finishing stage
Closes the two CPU-only cells of the art bake-off and builds the bridge the
diffusion cell will reuse.

Pins the bake-off to the SAME twelve subjects item-icons measured, with its
easy/hard split intact. Without this a route tested on distinctive silhouettes
beats the 6/12 baseline for free and the decision table means nothing. It also
makes the subject-routing rule falsifiable: a generator route is predicted to
lift specifically the six human-prior failures, and if it does not, the rule is
recorded as wrong.

Route (a) procedural: all twelve subjects drawn deterministically from a
7-colour locked palette. Every shape gets a distinguishing feature up front,
because item-icons measured that plain primitives read as placeholders however
correct the geometry is. Machine gate: 12/12 -- which proves "not malformed",
NOT quality. A procedural generator satisfies palette/alpha/canvas constraints
trivially; the human contact sheet is the real verdict.

Route (d) code-as-art: SVG emitted as text and rasterised by rsvg-convert, so
no new Python dependency (cairosvg/svgwrite stay absent).

The structural finding, measured on real rasteriser output rather than a
synthetic stand-in: raw vector renders pass 0/5 -- every one fails
ALPHA_NOT_BINARY, most also TOO_MANY_COLORS. After the finishing stage, 5/5.
Continuous-tone routes are therefore GENERATORS FEEDING A FINISHER, not
pixel-art generators. finish.py binarises alpha before quantising colour,
mirroring the gate order: quantising first blends transparent pixels' arbitrary
RGB into the palette.

Verified: 92 tests, 100% branch coverage across all ten modules, zero
suppressions, all hooks pass. The PLR2004 lint refactor was confirmed
pixel-neutral by byte-comparing all 12 icons before and after (12/12 identical).

Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01T9rQ12yZ7sJxiPQTCS5dUF
2026-08-15 22:31:59 +02:00

99 lines
3.3 KiB
Python

"""The fixed subject set the bake-off is pinned to.
Every route and every applicable style is tested on the SAME twelve subjects,
because a route evaluated on easy subjects beats a 50% baseline for free and
the comparison would measure the subject list rather than the route.
The split comes from the `item-icons` skill's measured human verdicts: six
subjects passed and six failed on a first attempt, and the pattern predicting
failure was not drawing difficulty but whether the viewer holds a precise
mental image of the object. That makes the routing rule below falsifiable --
a generator route is predicted to lift specifically the HUMAN_PRIOR six.
"""
from __future__ import annotations
from dataclasses import dataclass
from enum import Enum
from typing import Final
class Difficulty(str, Enum):
"""Why a subject is expected to be easy or hard, not how hard to draw."""
SAFE = "SAFE"
HUMAN_PRIOR = "HUMAN_PRIOR"
PRIMITIVE = "PRIMITIVE"
def __str__(self) -> str:
"""Return the bare value for report tables."""
return self.value
@dataclass(frozen=True)
class Subject:
"""One bake-off subject.
Attributes:
name: Lowercase identifier, used in filenames and report rows.
difficulty: The predicted failure mode, or SAFE.
note: Why this subject sits in that category.
"""
name: str
difficulty: Difficulty
note: str
# The six that PASSED in the item-icons measurement: distinctive silhouettes
# with no canonical proportions, so the viewer has a wide error budget.
_SAFE: Final = (
Subject("key", Difficulty.SAFE, "wards make it unmistakable"),
Subject("scroll", Difficulty.SAFE, "no canonical proportions"),
Subject("book", Difficulty.SAFE, "clasp gives it a feature"),
Subject("bone", Difficulty.SAFE, "organic, no fixed ratio"),
Subject("gem", Difficulty.SAFE, "facets read at any size"),
Subject("bomb", Difficulty.SAFE, "fuse is a strong feature"),
)
# The six that FAILED. Kept verbatim so the bake-off measures the same task.
_HARD: Final = (
Subject("potion", Difficulty.HUMAN_PRIOR, "flask shoulders are specific"),
Subject("sword", Difficulty.HUMAN_PRIOR, "blade/hilt ratio is known"),
Subject("shield", Difficulty.PRIMITIVE, "a slab reads as a placeholder"),
Subject("coin", Difficulty.PRIMITIVE, "a circle with a rim is barebones"),
Subject("ring", Difficulty.PRIMITIVE, "a torus with no feature"),
Subject("meat", Difficulty.HUMAN_PRIOR, "a ham has a specific shape"),
)
SUBJECTS: Final = _SAFE + _HARD
# The measured baseline this bake-off must beat: 6 of 12 accepted by a human,
# unchanged after a second redraw round. A cell that cannot beat this is
# reported as such rather than dressed up.
BASELINE_PASS = 6
BASELINE_TOTAL = 12
# item-icons ran two rounds and stayed at 6/12, so a third is not
# evidence-backed. Each cell gets this many rounds, then its number is recorded.
MAX_ROUNDS = 2
def by_name(name: str) -> Subject:
"""Look up a subject.
Args:
name: The subject's lowercase identifier.
Returns:
The matching subject.
Raises:
KeyError: If the name is not part of the fixed set.
"""
for subject in SUBJECTS:
if subject.name == name:
return subject
msg = f"{name!r} is not one of the {len(SUBJECTS)} fixed subjects"
raise KeyError(msg)