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https://github.com/wiltodelta/remove-ai-watermarks.git
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Victor KuznetsovandClaude Opus 5.5
1dc70df289
- Lock OpenCV 5 and cap NumPy below 2.4 through uv constraint-dependencies so PaddleX 3.7 keeps resolving; Dependabot ignores mirror the cap. - OpenCV 5 draws Hershey putText glyphs differently, so the Dola and Kling video templates ship as committed OpenCV 4 renders with a recipe script, and the OpenArt alpha recipe now refuses any OpenCV but 4.x. - Break Sora/Veo cross-matches in favor of Veo under valid Google AI-video provenance, and require the full Sora mascot shape for mascot-only matches. - Let the Doubao engine detect marks tinted by saturated backgrounds. - Share C2PA claim-generator, credential-level and vendor-platform helpers, JPEG suffixes and the DCT basis instead of per-module copies. - Log model download failures, document the optional GITHUB_TOKEN, mark the photo and source classifier model cards archived, and refresh the lock. Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
42 lines
1.4 KiB
Python
42 lines
1.4 KiB
Python
"""Local staging checks for the source-classifier Hub publisher."""
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from __future__ import annotations
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import json
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import sys
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from pathlib import Path
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import pytest
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SCRIPTS = Path(__file__).resolve().parents[1] / "scripts"
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sys.path.insert(0, str(SCRIPTS))
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import publish_source_classify_hf as publish # noqa: E402
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def test_hub_ids_match_the_runtime_loader() -> None:
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# The workflow runs this script with --no-project, so it cannot import the package constants.
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from remove_ai_watermarks.source_classify import MODEL_FILE, WEIGHTS_REPO
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assert publish.HUB_REPO == WEIGHTS_REPO
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assert publish.MODEL_FILE == MODEL_FILE
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def test_stage_release_copies_only_public_artifacts(tmp_path: Path) -> None:
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source = tmp_path / "source"
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source.mkdir()
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(source / "source-pipeline-mlp.npz").write_bytes(b"weights")
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destination = tmp_path / "stage"
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publish.stage_release(destination, source)
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assert sorted(path.name for path in destination.iterdir()) == sorted(publish.PUBLIC_FILES)
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def test_stage_release_requires_the_model(tmp_path: Path) -> None:
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with pytest.raises(SystemExit, match=r"source-pipeline-mlp\.npz"):
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publish.stage_release(tmp_path / "stage", tmp_path)
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def test_card_sha_matches_the_metrics_manifest() -> None:
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metrics = json.loads((publish.CARD_DIR / "metrics.json").read_text())
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card = (publish.CARD_DIR / "README.md").read_text()
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assert metrics["artifact_sha256"] in card
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