def both_roles_constraint(cls, v1, v2, v3):
lhs = flipy.LpExpression(expression={v1: 1, v2: 1})
rhs = flipy.LpExpression(expression={v3: 1}, constant=1)
return flipy.LpConstraint(lhs,
'leq',
rhs,
name=f'_C_BothRolesPenalty_{cls._cons_id()}')
def sum_expr_weight(cls, lp_var_list: List[LpVariable],
increase_flag: bool):
delta = 0.01
min_weight = 0.5
n = len(lp_var_list)
if not increase_flag:
return flipy.LpExpression(
expression={
v: max(1 - idx * delta, min_weight)
for idx, v in enumerate(lp_var_list)
})
return flipy.LpExpression(
expression={
v: max(1 - (n - idx - 1) * delta, min_weight)
for idx, v in enumerate(lp_var_list)
})
def const_expr(cls, value: int):
return flipy.LpExpression(constant=value)
def sum_expr_weight_1(cls, lp_var_list: List[LpVariable]):
return flipy.LpExpression(expression={v: 1 for v in lp_var_list})