r"""Computes Weighted MNZ as proposed by [Wu et al.](https://dl.acm.org/doi/10.1145/584792.584908). ```bibtex @inproceedings{DBLP:conf/ci

Computes a weighted sum of the scores given to documents by a list of Runs. Args: runs (List[Run]): List of Runs. weights (List[f

Used internally.

Apply `max norm` to a given results dictionary.

Apply `max norm` to a each results dictionary of a run in parallel.

Apply `min-max norm` to a given results dictionary.

Apply `min_max norm` to a each results dictionary of a run in parallel.

Apply `rank norm` to a given results dictionary.

Apply `rank norm` to a each results dictionary of a run in parallel.

Apply `sum norm` to a given results dictionary.

Apply `sum norm` to a each results dictionary of a run in parallel.

Apply `zmuv norm` to a given results dictionary.

Apply `zmuv norm` to a each results dictionary of a run in parallel.

r"""Computes BayesFuse as proposed by [Aslam et al.](https://dl.acm.org/doi/10.1145/383952.384007). ```bibtex @inproceedings{DBLP:conf/sigir/

Apply `borda norm` to a list of runs.

r"""Compute Bpref. **Bpref** is designed for situations where relevance judgments are known to be incomplete. It is defined as: $$ \oper

r"""Computes CombANZ as proposed by [Fox et al.](https://trec.nist.gov/pubs/trec2/papers/txt/23.txt).<br /> ```bibtex @inproceedings{DBLP