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numpy>=1.26,<3 pandas>=2.0,<4 scikit-learn>=1.3,<2 tqdm>=4.66,<5 networkx>=3.2,<4 matplotlib>=3.8,<4 torchmetrics>=1.2,<2 biopandas>=0.5,<1 periodictable>=1.6,<3 biopython>=1.83,<2 ipykernel>=6.29,<7 nbconvert>=6.5,<8 ipywidgets>=8,<9