# QA baseline bounds; observed versions are recorded in docs/audit-20260906.md.
PyYAML>=6,<7
pytest>=8,<10
numpy>=1.26,<3
scipy>=1.11,<2
pandas>=2.2,<3
sympy>=1.13,<2
mpmath>=1.3,<2
matplotlib>=3.8,<4
statsmodels>=0.14,<0.16
scikit-learn>=1.4,<2
networkx>=3,<4
lifelines>=0.30,<0.31
arch>=8,<9
pingouin>=0.6,<0.7
jsonschema>=4,<5
# Install torch separately with the CPU wheel index in CI; no model weights required.
