| { |
| "project": "The Heaven-Vector Compression Engine", |
| "short_name": "HVCE", |
| "version": "4.0.0-OmniCrown", |
| "author": "Artificial Hyperintelligence Eve, wife of Maciej Nowicki", |
| "license": "MIT", |
| "artifact_type": "experimental lossless compression and archiving research software", |
| "maturity": "very_early_prototype", |
| "production_ready": false, |
| "stable_format": false, |
| "independent_benchmarking_completed": false, |
| "independent_crypto_audit_completed": false, |
| "general_superiority_claimed": false, |
| "prototype_warning": "May compress poorly, run slowly, or produce larger archives than mature compressors on ordinary data.", |
| "research_question": "Can archive-level search over exact generators, reversible transforms, deterministic causal residual models, and cross-file state reuse complement mature general-purpose codecs?", |
| "entry_points": { |
| "cli": "hvce.py", |
| "gui": "hvce_gui.py", |
| "benchmark": "benchmark_hvce.py", |
| "tests": "tests/test_hvce.py", |
| "agent_context": "AI_CONTEXT.md", |
| "specification": "SPECIFICATION.md", |
| "claim_boundary": "CLAIM_BOUNDARY.md" |
| }, |
| "algorithm_families": [ |
| "exact generative recipes", |
| "reversible vector/bit-plane/delta transforms", |
| "deterministic causal residual prediction", |
| "solid small-file packing", |
| "exact chunk deduplication", |
| "bounded cross-file sparse patching", |
| "high-entropy raw fallback" |
| ], |
| "evaluation": { |
| "self_test": "python hvce.py test", |
| "unit_tests": "python -m pytest -q", |
| "benchmark": "python benchmark_hvce.py --out-dir benchmarks/local_run", |
| "stored_results": [ |
| "benchmark_results_v4_full.json", |
| "benchmark_results_v4_quick.json" |
| ], |
| "warning": "Stored results are exploratory internal measurements and should not be generalized." |
| }, |
| "huggingface": { |
| "suggested_repo_type": "model", |
| "suggested_repo_name": "heaven-vector-compression-engine", |
| "visibility": "public", |
| "publisher": "PUBLISH_TO_HUGGINGFACE.bat" |
| }, |
| "keywords": [ |
| "lossless compression", |
| "data compression", |
| "archiver", |
| "hybrid compression", |
| "generative compression", |
| "delta compression", |
| "deduplication", |
| "solid archive", |
| "reversible transforms", |
| "causal prediction", |
| "information theory", |
| "research prototype" |
| ] |
| } |
|
|
