robotics 0.1.5

Rust implementation of robotics algorithms
Documentation 
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use localization::{
    extended_kalman_filter::{ExtendedKalmanFilter, ExtendedKalmanFilterKnownCorrespondences},
    particle_filter::ParticleFilterKnownCorrespondences,
    unscented_kalman_filter::UnscentedKalmanFilter,
};
use nalgebra::Dyn;
use pyo3::prelude::*;

pub mod data;
pub mod localization;
pub mod mapping;
pub mod models;
pub mod utils;

#[pyclass]
struct Ekf {
    _ekf: ExtendedKalmanFilter<f64, Dyn, Dyn, Dyn>,
}
// impl EKF {
//     #[new]
//     fn new(r : ) {

//     }
// }
#[pyclass]
struct Ekfkc {
    _ekf: ExtendedKalmanFilterKnownCorrespondences<f64, Dyn, Dyn, Dyn>,
}

#[pyclass]
struct Ukf {
    _ukf: UnscentedKalmanFilter<f64, Dyn, Dyn, Dyn>,
}

#[pyclass]
struct Pf {
    _pf: ParticleFilterKnownCorrespondences<f64, Dyn, Dyn, Dyn>,
}

// python port // must include pyo3 to make this work
/// Formats the sum of two numbers as string.
#[pyfunction]
fn sum_as_string(a: usize, b: usize) -> PyResult<String> {
    Ok((a + b).to_string())
}

/// A Python module implemented in Rust.
#[pymodule]
fn robotics(_py: Python, m: &PyModule) -> PyResult<()> {
    m.add_function(wrap_pyfunction!(sum_as_string, m)?)?;
    m.add_class::<Ekf>()?;
    m.add_class::<Ekfkc>()?;
    m.add_class::<Ukf>()?;
    m.add_class::<Pf>()?;

    Ok(())
}