Factual package intelligence from PyPI
Reinforcement-learning environments for scientific reasoning: physics-grounded inverse problems with uncertainty-calibrated rewards.
pip install verifiable-labs-envs
PyPI declares 34 unique dependency rules for this release. Environment markers are shown when supplied by the project.
>=2.20>=0.4.30>=0.4.30>=3.9>=1.26>=1.50>=10.0>=1.0>=0.22>=1.11>=4.66The compact report shows 12 of 34 declarations. The interactive dependency graph loads the complete metadata.
verifiable-labs-envs publishes 1 wheel and 1 source archive for version 0.1.0a2. Wheel platform tags: any.
Declared Python classifiers: 3.11, 3.12.
PyPI lists 2 releases with files. The first dated release is ; 2 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .