oxirs-vec 0.2.4

Vector index abstractions for semantic similarity and AI-augmented querying
Documentation 
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//! Search strategy implementations for Neural Architecture Search

use crate::neural_architecture_search::{types::*, architecture::*, config::*};
use anyhow::Result;

/// Search strategy implementation
pub trait SearchStrategyImpl {
    fn search(&mut self, search_space: &ArchitectureSearchSpace, config: &NASConfig) -> Result<Vec<Architecture>>;
    fn update(&mut self, architectures: &[Architecture]) -> Result<()>;
}

/// Evolutionary algorithm implementation
pub struct EvolutionaryAlgorithm {
    population: Vec<Architecture>,
    generation: usize,
}

impl EvolutionaryAlgorithm {
    pub fn new() -> Self {
        Self {
            population: Vec::new(),
            generation: 0,
        }
    }
}

impl SearchStrategyImpl for EvolutionaryAlgorithm {
    fn search(&mut self, _search_space: &ArchitectureSearchSpace, _config: &NASConfig) -> Result<Vec<Architecture>> {
        // Placeholder implementation
        Ok(Vec::new())
    }

    fn update(&mut self, _architectures: &[Architecture]) -> Result<()> {
        // Placeholder implementation
        Ok(())
    }
}

/// Reinforcement learning implementation
pub struct ReinforcementLearning {
    controller: Option<String>, // Placeholder
}

impl ReinforcementLearning {
    pub fn new() -> Self {
        Self {
            controller: None,
        }
    }
}

impl SearchStrategyImpl for ReinforcementLearning {
    fn search(&mut self, _search_space: &ArchitectureSearchSpace, _config: &NASConfig) -> Result<Vec<Architecture>> {
        // Placeholder implementation
        Ok(Vec::new())
    }

    fn update(&mut self, _architectures: &[Architecture]) -> Result<()> {
        // Placeholder implementation
        Ok(())
    }
}

/// Bayesian optimization implementation
pub struct BayesianOptimization {
    surrogate_model: Option<String>, // Placeholder
}

impl BayesianOptimization {
    pub fn new() -> Self {
        Self {
            surrogate_model: None,
        }
    }
}

impl SearchStrategyImpl for BayesianOptimization {
    fn search(&mut self, _search_space: &ArchitectureSearchSpace, _config: &NASConfig) -> Result<Vec<Architecture>> {
        // Placeholder implementation
        Ok(Vec::new())
    }

    fn update(&mut self, _architectures: &[Architecture]) -> Result<()> {
        // Placeholder implementation
        Ok(())
    }
}