rssn 0.2.9

A comprehensive scientific computing library for Rust, aiming for feature parity with NumPy and SymPy.
Documentation 
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use serde::Deserialize;

use crate::ffi_apis::common::BincodeBuffer;
use crate::ffi_apis::common::from_bincode_buffer;
use crate::ffi_apis::common::to_bincode_buffer;
use crate::symbolic::cad::cad;
use crate::symbolic::core::Expr;

#[derive(Deserialize)]
struct CadInput {
    polys: Vec<Expr>,
    vars: Vec<String>,
}

/// Computes CAD for a set of polynomials via Bincode interface.
///
/// Input buffer should contain a serialized `CadInput`: `{"polys": [Expr, ...], "vars": ["x", "y", ...]}`.
#[unsafe(no_mangle)]
pub extern "C" fn rssn_bincode_cad(input_buf: BincodeBuffer) -> BincodeBuffer {
    let input: Option<CadInput> = from_bincode_buffer(&input_buf);

    if let Some(data) = input {
        let vars_refs: Vec<&str> = data.vars.iter().map(std::string::String::as_str).collect();

        let mut sparse_polys = Vec::new();

        for expr in data.polys {
            let sp = crate::symbolic::polynomial::expr_to_sparse_poly(&expr, &vars_refs);

            sparse_polys.push(sp);
        }

        match cad(&sparse_polys, &vars_refs) {
            | Ok(c) => to_bincode_buffer(&c),
            | Err(_) => BincodeBuffer::empty(),
        }
    } else {
        BincodeBuffer::empty()
    }
}