Source code for negmas.outcomes.range_issue

from __future__ import annotations
from negmas.outcomes.cardinal_issue import CardinalIssue

__all__ = ["RangeIssue"]


[docs] class RangeIssue(CardinalIssue): """ An issue representing a range of values (can be continuous or discrete) """ def __init__(self, values, name=None) -> None: if values[1] < values[0]: raise ValueError( f"Trying to create a range issue with min {values[0]} and max {values[1]}!!!" ) super().__init__(values, name) self._value_type = type(values[0]) self.min_value, self.max_value = values[0], values[1]
[docs] def is_valid(self, v): return self.min_value <= v <= self.max_value