sample_issues
- negmas.outcomes.sample_issues(issues, n_outcomes, with_replacement=True, fail_if_not_enough=True)[source]
Samples some outcomes from the outcome space defined by the list of issues.
- Parameters
- Return type
- Returns
a list of outcomes
Examples
>>> from negmas.outcomes import make_issue >>> issues = [make_issue(name='price', values=(0.0, 3.0)), make_issue(name='quantity', values=10)]
Sampling outcomes as tuples
>>> samples = sample_issues(issues=issues, n_outcomes=10) >>> len(samples) == 10 True >>> type(samples[0]) == tuple True