pub fn choose_tournament_byloss(losses: &Vec<f32>, n_batches: &usize, m_per_batch: &usize) -> Vec<Vec<usize>> {
    if losses.iter().any(|x| *x <= 0.0) {
        panic!("Losses must by strictly positive");
    }
    let losses_inv = losses.iter().map(|x| 1.0 / *x).collect();
    choose_tournament_byfitness(&losses_inv, n_batches, m_per_batch)
}
// choose function for survival, crossover and local search
choose function for survival, crossover and local search
choose function for survival crossover and local search
pub fn choose_tournament_byloss(losses: &Vec<f32>, n_batches: &usize, m_per_batch: &usize) -> Vec<Vec<usize>> {
    if losses.iter().any(|x| *x <= 0.0) {
        panic!("Losses must by strictly positive");
    }
    let losses_inv = losses.iter().map(|x| 1.0 / *x).collect();
    choose_tournament_byfitness(&losses_inv, n_batches, m_per_batch)
}
pub fn choose_tournament_byloss ( losses : & Vec < f32 > , n_batches : & usize , m_per_batch : & usize ) -> Vec < Vec < usize > > { if losses . iter ( ) . any ( | x | * x <= 0.0 ) { panic ! ( " " ) ; } let losses_inv = losses . iter ( ) . map ( | x | 1.0 / * x ) . collect ( ) ; choose_tournament_byfitness ( & losses_inv , n_batches , m_per_batch ) }
choose function for survival, crossover and local search
choose function for survival crossover and local search
losses
&Vec<f32>
n_batches
&usize
m_per_batch
&usize
losses
&Vec<f32>
n_batches
&usize
m_per_batch
&usize