quantrs2-device 0.1.3

//! Auto-generated module
//!
//! 🤖 Generated with [SplitRS](https://github.com/cool-japan/splitrs)

#[cfg(not(feature = "scirs2"))]
use fallback_scirs2::*;
use quantrs2_circuit::prelude::*;
use scirs2_core::ndarray::{s, Array1, Array2, ArrayView1, ArrayView2};
use scirs2_core::random::prelude::*;
#[cfg(feature = "scirs2")]
use scirs2_linalg::{
    cholesky, det, eig, inv, matrix_norm, prelude::*, qr, svd, trace, LinalgError, LinalgResult,
};
#[cfg(feature = "scirs2")]
use scirs2_optimize::{differential_evolution, least_squares, minimize, OptimizeResult};
use std::collections::{HashMap, VecDeque};

use super::types::{
    IntegratedDeviceConfig, IntegratedQuantumDeviceManager, OrchestrationStrategy,
    WorkflowDefinition, WorkflowType,
};
use crate::job_scheduling::JobPriority;

#[cfg(not(feature = "scirs2"))]
mod fallback_scirs2 {
    use scirs2_core::ndarray::{Array1, Array2, ArrayView1, ArrayView2};
    pub fn mean(_data: &ArrayView1<f64>) -> Result<f64, String> {
        Ok(0.0)
    }
    pub fn std(_data: &ArrayView1<f64>, _ddof: i32) -> Result<f64, String> {
        Ok(1.0)
    }
    pub fn pearsonr(
        _x: &ArrayView1<f64>,
        _y: &ArrayView1<f64>,
        _alt: &str,
    ) -> Result<(f64, f64), String> {
        Ok((0.0, 0.5))
    }
    pub fn trace(_matrix: &ArrayView2<f64>) -> Result<f64, String> {
        Ok(1.0)
    }
    pub fn inv(_matrix: &ArrayView2<f64>) -> Result<Array2<f64>, String> {
        Ok(Array2::eye(2))
    }
    pub struct OptimizeResult {
        pub x: Array1<f64>,
        pub fun: f64,
        pub success: bool,
        pub nit: usize,
        pub nfev: usize,
        pub message: String,
    }
    pub fn minimize(
        _func: fn(&Array1<f64>) -> f64,
        _x0: &Array1<f64>,
        _method: &str,
    ) -> Result<OptimizeResult, String> {
        Ok(OptimizeResult {
            x: Array1::zeros(2),
            fun: 0.0,
            success: true,
            nit: 0,
            nfev: 0,
            message: "Fallback optimization".to_string(),
        })
    }
}
#[cfg(test)]
mod tests {
    use super::*;
    use crate::calibration::CalibrationManager;
    #[test]
    fn test_integrated_device_config_default() {
        let config = IntegratedDeviceConfig::default();
        assert!(config.enable_adaptive_management);
        assert!(config.enable_ml_optimization);
        assert_eq!(
            config.orchestration_strategy,
            OrchestrationStrategy::Adaptive
        );
    }
    #[test]
    fn test_workflow_definition_creation() {
        let workflow = WorkflowDefinition {
            workflow_id: "test_workflow".to_string(),
            workflow_type: WorkflowType::ProcessCharacterization,
            steps: Vec::new(),
            configuration: HashMap::new(),
            priority: JobPriority::Normal,
            deadline: None,
        };
        assert_eq!(
            workflow.workflow_type,
            WorkflowType::ProcessCharacterization
        );
        assert_eq!(workflow.priority, JobPriority::Normal);
    }
    #[tokio::test]
    async fn test_integrated_manager_creation() {
        let config = IntegratedDeviceConfig::default();
        let devices = HashMap::new();
        let calibration_manager = CalibrationManager::new();
        let manager = IntegratedQuantumDeviceManager::new(config, devices, calibration_manager);
        assert!(manager.is_ok());
    }
}