semvec/pypi-packages huggingface dataset:
pypareto 0.3.1
Python library for pareto front extraction
License: MIT
Requires Python: ~=3.6


# pypareto
Pypareto is a Python library for pareto front seaching.
## Usage
ComparisonChain.split_by_pareto performs the pareto front split fronts.

Currently this works only for unique rows. You can add id as the last row (and not sort by it) to work around this restriction.

Here the None means just inferior value:

    >>> values = [(0,None,None), (2,2,2), (0,1,1), (0,0,1), (None,0,1), (0,1,0), (None,1,1), (1,0,0), (0,0,0)]
    >>> chain = Comparison(by_value, MaxMinList(MaxMin.MAX, MaxMin.MAX, MaxMin.MAX)).as_chain()
    >>> chain.split_by_pareto(values)
    [[(2, 2, 2)], [(0, 1, 1), (1, 0, 0)], [(0, 0, 1), (0, 1, 0), (None, 1, 1)], [(None, 0, 1), (0, 0, 0)], [(0, None, None)]]

Here one extra None means that the whole row is inferior:

    >>> values = [(0,None,None), (2,2,2), (0,1,1), (0,0,1), (None,0,1), (0,1,0), (None,1,1), (1,0,0), (0,0,0), (None, 0, None)]
    >>> chain = GroupNones(MaxMinList(MaxMin.MIN, MaxMin.MIN, MaxMin.MIN)).and_then(
    ...    Comparison(by_value, MaxMinList(MaxMin.MAX, MaxMin.MAX, MaxMin.MAX)))
    >>> chain.split_by_pareto(values)
    [[(2, 2, 2)], [(0, 1, 1), (1, 0, 0)], [(0, 0, 1), (0, 1, 0)], [(0, 0, 0)], [(None, 1, 1)], [(None, 0, 1)], [(0, None, None), (None, 0, None)]]