src.conflict_resolution module

src.conflict_resolution._default_tiebreaker(*args)

src.conflict_resolution.require_all_same(option_dict, option_fn, tiebreaker_fn=None)

src.conflict_resolution.same_for_subsets(option_dict, subsets, option_fn, tiebreaker_fn=None)

src.conflict_resolution.all_same_if_possible(option_dict, subsets, option_fn, tiebreaker_fn=None)

src.conflict_resolution.minimum_cover(option_dict, option_fn, tiebreaker_fn=None)

Determine experiment component(s) from heuristics.

1. Pick all data from the same component if possible, and from as few

   components if not. See https://en.wikipedia.org/wiki/Set_cover_problem and http://www.martinbroadhurst.com/greedy-set-cover-in-python.html.

2. If multiple components satisfy (1) equally well, use a tie-breaking

   heuristic (_component_tiebreaker()).

Parameters

datasets (iterable of DataSet) – Collection of all variables being requested in this DataManager.

Returns: list of str: name(s) of model components to use.

Raises: AssertionError if problem is unsatisfiable. This indicates some

error in the input data.