BatterySwapAI2026-MnesisLab / THIRD_PARTY_LICENSES.md
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Submission 007 - temperature-gated causal identity ensemble
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Third-party licenses

This table lists the direct third-party packages used by the project. No third-party package source code or external dataset is copied into this repository.

Package Declared / verified version Source License
NumPy 2.2.6 https://numpy.org/ BSD-3-Clause and bundled permissive licenses
pandas 2.3.3 https://pandas.pydata.org/ BSD-3-Clause
scikit-learn 1.7.2 https://scikit-learn.org/ BSD-3-Clause
SciPy 1.14.1 https://scipy.org/ BSD-3-Clause and bundled permissive licenses
joblib 1.5.3 https://joblib.readthedocs.io/ BSD-3-Clause
fastparquet 2026.5.0 https://github.com/dask/fastparquet Apache-2.0
pydantic-settings 2.15.0 https://github.com/pydantic/pydantic-settings MIT
structlog 26.1.0 https://www.structlog.org/ MIT or Apache-2.0
huggingface-hub 0.34.4 (development/publishing only) https://github.com/huggingface/huggingface_hub Apache-2.0
PyYAML 6.0.2 (development only) https://pyyaml.org/ MIT
pyarrow 25.0.1 (optional development parquet backend) https://arrow.apache.org/ Apache-2.0
pytest 9.0.2 (tests only) https://pytest.org/ MIT
batteryswap_public 0.3.4 https://pypi.org/project/batteryswap-public/ Organizer package; PyPI metadata does not declare a license

batteryswap_public is required by the official example and evaluation interface. Its PyPI metadata does not state a license. Obtain written organizer confirmation before the competition deadline.

The submission image is the organizer/example base huggingface/competitions@sha256:6cea4ff69a6832761484f48c07ccfbf49f701f285ffcb9fc72a4ecfb81b6b4e5. It contains the NVIDIA Deep Learning Container license notice even though this entry is CPU-only. Because this is the official evaluator base rather than participant code, it is recorded separately; obtain organizer confirmation together with batteryswap_public if prize-eligibility review requires an explicit exception.