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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 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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use threadpool::ThreadPool;
use crate::{DVector, Minorant, Real};
use super::channels::{
ChannelResultSender, ChannelUpdateSender, ClientReceiver, ClientSender, EvalResult, Message, Update,
};
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),
upper_bounds: self.problem.upper_bounds().map(DVector),
};
if master_config
.lower_bounds
.as_ref()
.map(|lb| lb.len() != n)
.unwrap_or(false)
{
return Err(Error::Dimension {
what: "lower bounds".to_string(),
});
}
if master_config
.upper_bounds
.as_ref()
.map(|ub| ub.len() != n)
.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,
));
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(
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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 lower_bounds = self.problem.lower_bounds().map(DVector);
if lower_bounds.as_ref().map(|lb| lb.len() != n).unwrap_or(false) {
return Err(Error::Dimension {
what: "lower bounds".to_string(),
});
}
let upper_bounds = self.problem.upper_bounds().map(DVector);
if upper_bounds.as_ref().map(|ub| ub.len() != n).unwrap_or(false) {
return Err(Error::Dimension {
what: "upper bounds".to_string(),
});
}
debug!("Start master process");
// 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(
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