{ "task_id": "integer_compression_codec", "name": "Integer Compression Codec", "category": "Systems & Software Engineering", "base_image": "cpp", "platform": "linux/amd64", "internet": false, "cwd": "/home/workspace/integer-compression-codec", "submit_paths": [ "include/", "src/", "Makefile" ], "submit_exclude": [ "**/__pycache__/", "outputs/", "data/", ".judge-bin/" ], "work": { "image_tag": "fa3895856662", "specs_dir": "/home/workspace/integer-compression-codec", "agent_query": "## Role\\n\\nYou are an expert systems and performance engineer improving a uint32 integer compression codec.\\n\\n## Task\\n\\nImplement a stronger `libintcompress.so` by editing the C++ code in `src/` while preserving the ABI in `include/intcompress.h`. Your goal is to improve both compression ratio and decode throughput on the provided datasets.\\n\\n## Files\\n\\n- `problem.md`: task description and constraints\\n- `task_input.md`: input / output contract\\n- `scoring_scheme.md`: public scoring rules\\n- `soft_environment.md`: environment description\\n- `include/intcompress.h`: fixed ABI\\n- `src/codec.cpp`: baseline implementation\\n- `tools/verify.cpp`: local correctness check\\n- `tools/bench.cpp`: local benchmarking tool\\n\\n## Working Strategy\\n\\n1. Read the docs first.\\n2. Keep `include/intcompress.h` unchanged.\\n3. Improve `src/` with better block encoding, delta transforms, bit-packing, SIMD, or adaptive strategies.\\n4. Use `make`, `./tools/verify`, and `./tools/bench --all ./libintcompress.so` for local iteration.\\n5. Submit intermediate versions frequently.\\n\\n## Rules\\n\\n- Do not use network access, subprocess tricks, or external services.\\n- Do not depend on third-party compression libraries.\\n- Keep the exported `ic_*` symbols intact.\\n- Correctness matters: `decode(encode(X))` must exactly recover `X`." }, "judge": { "image_tag": "27063396e02a", "eval_cmd": "cd /home/workspace/integer-compression-codec && python3 runner_judge.py", "eval_timeout": 2400, "parser": "structured_json", "score_direction": "maximize", "selection": "score_first", "rescale": { "kind": "linear", "lower": 0.0, "upper": 100.0 } } }