pyproject.toml
1.1 KB · 36 lines · toml Raw
1 [build-system]
2 requires = ["hatchling"]
3 build-backend = "hatchling.build"
4
5 [project]
6 name = "pqc-training-data-transparency"
7 version = "0.1.0"
8 description = "PQC-native Merkle-tree commitments for AI training datasets. Prove what a model was trained on without revealing the data. SHA3-256 tree + ML-DSA signatures."
9 readme = "README.md"
10 license = "Apache-2.0"
11 requires-python = ">=3.10"
12 authors = [{ name = "Dyber PQC" }]
13 keywords = ["pqc", "merkle", "training-data", "ai-provenance", "ml-dsa", "post-quantum", "copyright"]
14 classifiers = [
15 "Development Status :: 4 - Beta",
16 "Intended Audience :: Developers",
17 "License :: OSI Approved :: Apache Software License",
18 "Programming Language :: Python :: 3",
19 "Programming Language :: Python :: 3.10",
20 "Programming Language :: Python :: 3.11",
21 "Programming Language :: Python :: 3.12",
22 "Topic :: Security :: Cryptography",
23 ]
24 dependencies = [
25 "quantumshield>=0.1.0",
26 ]
27
28 [project.optional-dependencies]
29 dev = ["pytest", "ruff", "mypy"]
30
31 [tool.hatch.build.targets.wheel]
32 packages = ["src/pqc_training_data"]
33
34 [tool.pytest.ini_options]
35 testpaths = ["tests"]
36