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(),
})
}
pub fn differential_evolution(
_func: fn(&Array1<f64>) -> f64,
_bounds: &[(f64, f64)],
) -> Result<OptimizeResult, String> {
Ok(OptimizeResult {
x: Array1::zeros(2),
fun: 0.0,
success: true,
nit: 0,
nfev: 0,
message: "Fallback optimization".to_string(),
})
}