RsBundle  Diff

Differences From Artifact [51c97c98cd]:

  • File src/solver/sync.rs — part of check-in [944c86321c] at 2022-05-31 05:36:40 on branch trunk — solver::sync: forward error of `get_aggregated_primal` correctly (user: fifr size: 29132)

To Artifact [ffa16965bf]:

  • File src/solver/sync.rs — part of check-in [c97b225ed4] at 2022-06-08 20:24:47 on branch trunk — Initialize master problem in solver, not in master process (user: fifr size: 29043)

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use threadpool::ThreadPool;

use crate::{DVector, Minorant, Real};

use super::channels::{
    ChannelResultSender, ChannelUpdateSender, ClientReceiver, ClientSender, EvalResult, Message, Update,
};
use super::masterprocess::{MasterConfig, MasterError, MasterProcess, MasterResponse, Response};
use super::masterprocess::{MasterError, MasterProcess, MasterResponse, Response};
use crate::master::{Builder as MasterBuilder, MasterProblem};
use crate::problem::{FirstOrderProblem, UpdateState};
use crate::terminator::{StandardTerminatable, StandardTerminator, Terminator};
use crate::weighter::{HKWeightable, HKWeighter, Weighter};

/// The default iteration limit.
pub const DEFAULT_ITERATION_LIMIT: usize = 10_000;
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        self.cnt_null = 0;
        self.cnt_evals = 0;

        let (tx, rx) = channel();
        self.client_tx = Some(tx.clone());
        self.client_rx = Some(rx);

        let master_config = MasterConfig {
            num_subproblems: m,
            num_vars: n,
            lower_bounds: self.problem.lower_bounds().map(DVector),
        let lower_bounds = self.problem.lower_bounds().map(DVector);
            upper_bounds: self.problem.upper_bounds().map(DVector),
        };

        if master_config
            .lower_bounds
            .as_ref()
            .map(|lb| lb.len() != n)
        if lower_bounds.as_ref().map(|lb| lb.len() != n).unwrap_or(false) {
            .unwrap_or(false)
        {
            return Err(Error::Dimension {
                what: "lower bounds".to_string(),
            });
        }
        if master_config
            .upper_bounds

        let upper_bounds = self.problem.upper_bounds().map(DVector);
            .as_ref()
            .map(|ub| ub.len() != n)
        if upper_bounds.as_ref().map(|ub| ub.len() != n).unwrap_or(false) {
            .unwrap_or(false)
        {
            return Err(Error::Dimension {
                what: "upper bounds".to_string(),
            });
        }

        debug!("Start master process");
        self.master_proc = Some(MasterProcess::start(
            self.master.build().map_err(Error::BuildMaster)?,
            master_config,
            tx,
            &mut self.threadpool,

        // Initialize the master problem.
        let mut master = self.master.build().map_err(Error::BuildMaster)?;
        master.set_num_subproblems(m).map_err(Error::BuildMaster)?;
        master
            .set_vars(n, lower_bounds, upper_bounds)
            .map_err(Error::BuildMaster)?;

        self.master_proc = Some(MasterProcess::start(master, tx, &mut self.threadpool));
        ));

        debug!("Initial problem evaluation");
        // We need an initial evaluation of all oracles for the first center.
        let y = Arc::new(self.data.cur_y.clone());
        for i in 0..m {
            self.problem
                .evaluate(