| { |
| "status": "PASS", |
| "scope": "CPU environment and finite regression checks only; no main experiments run", |
| "python_executable": "/root/userdata/liangyan/mdm_coverage_experiments/.venv/bin/python", |
| "python_version": "3.13.13", |
| "platform": "Linux-5.15.0-126-generic-x86_64-with-glibc2.35", |
| "hostname": "cci-d40c5eb5-63fd-42ef-b8a1-3f3c712a44fa-0", |
| "packages": { |
| "numpy": "2.2.6", |
| "scipy": "1.17.1", |
| "matplotlib": "3.10.9" |
| }, |
| "environment_mode": "project venv sharing existing Conda base site-packages", |
| "visible_cpu_count": 192, |
| "gpu_used": false, |
| "library_thread_settings": { |
| "OMP_NUM_THREADS": "1", |
| "OPENBLAS_NUM_THREADS": "1", |
| "MKL_NUM_THREADS": "1" |
| }, |
| "binomial_mass_residual": 2.220446049250313e-16, |
| "highs_randomization_smoke": { |
| "objective": 0.0, |
| "weights": [ |
| 0.6666666666666666, |
| 0.33333333333333337 |
| ], |
| "equality_residual": 0.0, |
| "scope": "two-action LP only, not a general policy optimizer" |
| }, |
| "headless_plotting": "PASS (canvas only; no publication figure generated)", |
| "finite_regression": { |
| "status": "PASS", |
| "full_output_atoms": 1360, |
| "posterior_heads": 104, |
| "count_tv_identities": 16, |
| "reverse_sensitivities": 50, |
| "nonvacuous_bound_checks": 4, |
| "scope": "finite examples only; not an all-policy test" |
| }, |
| "finite_regression_sha256": "8eb778aa0276a33d9f43d31151cab7e9864924dd966743bec6d276cc000b5af6" |
| } |
|
|
