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use super::*;
use crate::construction::heuristics::*;
use rosomaxa::utils::{parallel_into_collect, CollectGroupBy};
#[derive(Default)]
pub struct UnassignmentReason {}
impl HeuristicSolutionProcessing for UnassignmentReason {
type Solution = InsertionContext;
fn post_process(&self, solution: Self::Solution) -> Self::Solution {
let mut insertion_ctx = solution;
let unassigned = insertion_ctx.solution.unassigned.drain().collect::<Vec<_>>();
let leg_selector = VariableLegSelector::new(insertion_ctx.environment.random.clone());
let result_selector = BestResultSelector::default();
let unassigned = parallel_into_collect(unassigned, |(job, code)| {
let eval_ctx = EvaluationContext {
constraint: &insertion_ctx.problem.constraint,
job: &job,
leg_selector: &leg_selector,
result_selector: &result_selector,
};
let mut unassigned = insertion_ctx
.solution
.routes
.iter()
.map(|route_ctx| {
evaluate_job_insertion_in_route(
&insertion_ctx,
&eval_ctx,
route_ctx,
InsertionPosition::Any,
InsertionResult::make_failure(),
)
})
.filter_map(|result| match &result {
InsertionResult::Failure(failure) if failure.constraint > 0 => Some(failure.constraint),
_ => None,
})
.collect_group_by_key(|code| *code)
.into_iter()
.map(|code_stat| (code_stat.0, code_stat.1.len()))
.collect::<Vec<_>>();
unassigned.sort_by(|(_, a), (_, b)| b.cmp(a));
let frequent_code = unassigned.first().map(|(code, _)| *code).unwrap_or(code);
(job, frequent_code)
});
insertion_ctx.solution.unassigned.extend(unassigned.into_iter());
insertion_ctx
}
}