use symbolica::{
    atom::Atom,
    domains::rational::Q,
    poly::evaluate::{HornerScheme, InstructionSetPrinter},
};

use symbolica::poly::polynomial::MultivariatePolynomial;

const SIGMA: &str = "+32*amel2^3*zk^2*xcp3 +32*amel2^3*zk^2*xcp1 -48*amel2^3*zk^2*x1*xcp3 -48*amel2^3*zk^2*x1*xcp1 +32*amel2^4*x5^2*xcp3 +32*amel2^4*x5^2*xcp1 +64*amel2^4*x4*x5*xcp3 -128*amel2^4*x4*x5*xcp2 +64*amel2^4*x4*x5*xcp1 +64*amel2^4*x4^2*xcp3 -128*amel2^4*x4^2*xcp2 +64*amel2^4*x4^2*xcp1 -128*amel2^4*x3*x5*xcp2 +64*amel2^4*x3*x4*xcp3 -128*amel2^4*x3*x4*xcp2 +64*amel2^4*x3*x4*xcp1 +32*amel2^4*x3^2*xcp3 +32*amel2^4*x3^2*xcp1 -64*amel2^4*x1*xcp3 -64*amel2^4*x1*xcp1 +32*amel2^4*x1*x5*xcp3 +32*amel2^4*x1*x5*xcp1 -32*amel2^4*x1*x5^2*xcp3 -32*amel2^4*x1*x5^2*xcp1 +64*amel2^4*x1*x4*xcp3 -192*amel2^4*x1*x4*xcp2 +64*amel2^4*x1*x4*xcp1 -64*amel2^4*x1*x4*x5*xcp3 +128*amel2^4*x1*x4*x5*xcp2 -64*amel2^4*x1*x4*x5*xcp1 -64*amel2^4*x1*x4^2*xcp3 +128*amel2^4*x1*x4^2*xcp2 -64*amel2^4*x1*x4^2*xcp1 +96*amel2^4*x1*x3*xcp3 -192*amel2^4*x1*x3*xcp2 +96*amel2^4*x1*x3*xcp1 +128*amel2^4*x1*x3*x5*xcp2 -64*amel2^4*x1*x3*x4*xcp3 +128*amel2^4*x1*x3*x4*xcp2 -64*amel2^4*x1*x3*x4*xcp1 -32*amel2^4*x1*x3^2*xcp3 -32*amel2^4*x1*x3^2*xcp1 +64*amel2^4*x1^2*xcp3 +64*amel2^4*x1^2*xcp1 -64*amel2^4*x1^2*x5*xcp3 -64*amel2^4*x1^2*x5*xcp1 -64*amel2^4*x1^2*x4*xcp3 -64*amel2^4*x1^2*x4*xcp1 -64*amel2^4*x1^2*x3*xcp3 -64*amel2^4*x1^2*x3*xcp1 -32*amel2^4*x1^3*xcp3 -32*amel2^4*x1^3*xcp1 +48*e2e1*amel2^2*zk^2*xcp3 +32*e2e1*amel2^2*zk^2*xcp2 +48*e2e1*amel2^2*zk^2*xcp1 -48*e2e1*amel2^2*zk^2*x5*xcp3 +64*e2e1*amel2^2*zk^2*x5*xcp2 -48*e2e1*amel2^2*zk^2*x5*xcp1 -96*e2e1*amel2^2*zk^2*x4*xcp3 -96*e2e1*amel2^2*zk^2*x4*xcp1 -64*e2e1*amel2^2*zk^2*x3*xcp2 -48*e2e1*amel2^2*zk^2*x1*xcp3 -48*e2e1*amel2^2*zk^2*x1*xcp1 +256*e2e1*amel2^3*x5*xcp2 +32*e2e1*amel2^3*x5^2*xcp3 -128*e2e1*amel2^3*x5^2*xcp2 +32*e2e1*amel2^3*x5^2*xcp1 -32*e2e1*amel2^3*x5^3*xcp3 -32*e2e1*amel2^3*x5^3*xcp1 -64*e2e1*amel2^3*x4*xcp3 +256*e2e1*amel2^3*x4*xcp2 -64*e2e1*amel2^3*x4*xcp1 +128*e2e1*amel2^3*x4*x5*xcp3 -448*e2e1*amel2^3*x4*x5*xcp2 +128*e2e1*amel2^3*x4*x5*xcp1 -128*e2e1*amel2^3*x4*x5^2*xcp3 +64*e2e1*amel2^3*x4*x5^2*xcp2 -128*e2e1*amel2^3*x4*x5^2*xcp1 +192*e2e1*amel2^3*x4^2*xcp3 -384*e2e1*amel2^3*x4^2*xcp2 +192*e2e1*amel2^3*x4^2*xcp1 -192*e2e1*amel2^3*x4^2*x5*xcp3 +256*e2e1*amel2^3*x4^2*x5*xcp2 -192*e2e1*amel2^3*x4^2*x5*xcp1 -128*e2e1*amel2^3*x4^3*xcp3 +128*e2e1*amel2^3*x4^3*xcp2 -128*e2e1*amel2^3*x4^3*xcp1 +64*e2e1*amel2^3*x3*xcp3 +64*e2e1*amel2^3*x3*xcp1 -448*e2e1*amel2^3*x3*x5*xcp2 +64*e2e1*amel2^3*x3*x5^2*xcp2 +192*e2e1*amel2^3*x3*x4*xcp3 -576*e2e1*amel2^3*x3*x4*xcp2 +192*e2e1*amel2^3*x3*x4*xcp1 -64*e2e1*amel2^3*x3*x4*x5*xcp3 +384*e2e1*amel2^3*x3*x4*x5*xcp2 -64*e2e1*amel2^3*x3*x4*x5*xcp1 -128*e2e1*amel2^3*x3*x4^2*xcp3 +128*e2e1*amel2^3*x3*x4^2*xcp2 -128*e2e1*amel2^3*x3*x4^2*xcp1 +32*e2e1*amel2^3*x3^2*xcp3 -64*e2e1*amel2^3*x3^2*xcp2 +32*e2e1*amel2^3*x3^2*xcp1 -32*e2e1*amel2^3*x3^2*x5*xcp3 +128*e2e1*amel2^3*x3^2*x5*xcp2 -32*e2e1*amel2^3*x3^2*x5*xcp1 -64*e2e1*amel2^3*x3^2*x4*xcp3 -64*e2e1*amel2^3*x3^2*x4*xcp2 -64*e2e1*amel2^3*x3^2*x4*xcp1 -64*e2e1*amel2^3*x3^3*xcp2 -64*e2e1*amel2^3*x1*xcp3 +128*e2e1*amel2^3*x1*xcp2 -64*e2e1*amel2^3*x1*xcp1 +32*e2e1*amel2^3*x1*x5*xcp3 -448*e2e1*amel2^3*x1*x5*xcp2 +32*e2e1*amel2^3*x1*x5*xcp1 -96*e2e1*amel2^3*x1*x5^2*xcp3 +256*e2e1*amel2^3*x1*x5^2*xcp2 -96*e2e1*amel2^3*x1*x5^2*xcp1 +192*e2e1*amel2^3*x1*x4*xcp3 -768*e2e1*amel2^3*x1*x4*xcp2 +192*e2e1*amel2^3*x1*x4*xcp1 -320*e2e1*amel2^3*x1*x4*x5*xcp3 +768*e2e1*amel2^3*x1*x4*x5*xcp2 -320*e2e1*amel2^3*x1*x4*x5*xcp1 -256*e2e1*amel2^3*x1*x4^2*xcp3 +512*e2e1*amel2^3*x1*x4^2*xcp2 -256*e2e1*amel2^3*x1*x4^2*xcp1 +160*e2e1*amel2^3*x1*x3*xcp3 -448*e2e1*amel2^3*x1*x3*xcp2 +160*e2e1*amel2^3*x1*x3*xcp1 -64*e2e1*amel2^3*x1*x3*x5*xcp3 +512*e2e1*amel2^3*x1*x3*x5*xcp2 -64*e2e1*amel2^3*x1*x3*x5*xcp1 -256*e2e1*amel2^3*x1*x3*x4*xcp3 +512*e2e1*amel2^3*x1*x3*x4*xcp2 -256*e2e1*amel2^3*x1*x3*x4*xcp1 -32*e2e1*amel2^3*x1*x3^2*xcp3 -32*e2e1*amel2^3*x1*x3^2*xcp1 +128*e2e1*amel2^3*x1^2*xcp3 -64*e2e1*amel2^3*x1^2*xcp2 +128*e2e1*amel2^3*x1^2*xcp1 -96*e2e1*amel2^3*x1^2*x5*xcp3 +128*e2e1*amel2^3*x1^2*x5*xcp2 -96*e2e1*amel2^3*x1^2*x5*xcp1 -192*e2e1*amel2^3*x1^2*x4*xcp3 +64*e2e1*amel2^3*x1^2*x4*xcp2 -192*e2e1*amel2^3*x1^2*x4*xcp1 -128*e2e1*amel2^3*x1^2*x3*xcp3 -64*e2e1*amel2^3*x1^2*x3*xcp2 -128*e2e1*amel2^3*x1^2*x3*xcp1 -32*e2e1*amel2^3*x1^3*xcp3 -32*e2e1*amel2^3*x1^3*xcp1 +96*e2e1^2*amel2*zk^2*xcp2 -48*e2e1^2*amel2*zk^2*x5*xcp3 -32*e2e1^2*amel2*zk^2*x5*xcp2 -48*e2e1^2*amel2*zk^2*x5*xcp1 -96*e2e1^2*amel2*zk^2*x4*xcp3 -32*e2e1^2*amel2*zk^2*x4*xcp2 -96*e2e1^2*amel2*zk^2*x4*xcp1 -96*e2e1^2*amel2*zk^2*x3*xcp3 +32*e2e1^2*amel2*zk^2*x3*xcp2 -96*e2e1^2*amel2*zk^2*x3*xcp1 -96*e2e1^2*amel2*zk^2*x1*xcp2 +384*e2e1^2*amel2^2*x5*xcp2 +128*e2e1^2*amel2^2*x5^2*xcp2 -32*e2e1^2*amel2^2*x5^3*xcp3 -192*e2e1^2*amel2^2*x5^3*xcp2 -32*e2e1^2*amel2^2*x5^3*xcp1 -64*e2e1^2*amel2^2*x4*xcp3 +512*e2e1^2*amel2^2*x4*xcp2 -64*e2e1^2*amel2^2*x4*xcp1 +64*e2e1^2*amel2^2*x4*x5*xcp3 -256*e2e1^2*amel2^2*x4*x5*xcp2 +64*e2e1^2*amel2^2*x4*x5*xcp1 -192*e2e1^2*amel2^2*x4*x5^2*xcp3 -192*e2e1^2*amel2^2*x4*x5^2*xcp2 -192*e2e1^2*amel2^2*x4*x5^2*xcp1 +128*e2e1^2*amel2^2*x4^2*xcp3 -384*e2e1^2*amel2^2*x4^2*xcp2 +128*e2e1^2*amel2^2*x4^2*xcp1 -384*e2e1^2*amel2^2*x4^2*x5*xcp3 +256*e2e1^2*amel2^2*x4^2*x5*xcp2 -384*e2e1^2*amel2^2*x4^2*x5*xcp1 -256*e2e1^2*amel2^2*x4^3*xcp3 +256*e2e1^2*amel2^2*x4^3*xcp2 -256*e2e1^2*amel2^2*x4^3*xcp1 +64*e2e1^2*amel2^2*x3*xcp3 +128*e2e1^2*amel2^2*x3*xcp2 +64*e2e1^2*amel2^2*x3*xcp1 -64*e2e1^2*amel2^2*x3*x5*xcp3 -640*e2e1^2*amel2^2*x3*x5*xcp2 -64*e2e1^2*amel2^2*x3*x5*xcp1 -64*e2e1^2*amel2^2*x3*x5^2*xcp3 +64*e2e1^2*amel2^2*x3*x5^2*xcp2 -64*e2e1^2*amel2^2*x3*x5^2*xcp1 +64*e2e1^2*amel2^2*x3*x4*xcp3 -896*e2e1^2*amel2^2*x3*x4*xcp2 +64*e2e1^2*amel2^2*x3*x4*xcp1 -256*e2e1^2*amel2^2*x3*x4*x5*xcp3 +768*e2e1^2*amel2^2*x3*x4*x5*xcp2 -256*e2e1^2*amel2^2*x3*x4*x5*xcp1 -384*e2e1^2*amel2^2*x3*x4^2*xcp3 +640*e2e1^2*amel2^2*x3*x4^2*xcp2 -384*e2e1^2*amel2^2*x3*x4^2*xcp1 -256*e2e1^2*amel2^2*x3^2*xcp2 -32*e2e1^2*amel2^2*x3^2*x5*xcp3 +320*e2e1^2*amel2^2*x3^2*x5*xcp2 -32*e2e1^2*amel2^2*x3^2*x5*xcp1 -192*e2e1^2*amel2^2*x3^2*x4*xcp3 +320*e2e1^2*amel2^2*x3^2*x4*xcp2 -192*e2e1^2*amel2^2*x3^2*x4*xcp1 -64*e2e1^2*amel2^2*x3^3*xcp3 +64*e2e1^2*amel2^2*x3^3*xcp2 -64*e2e1^2*amel2^2*x3^3*xcp1 +64*e2e1^2*amel2^2*x1*xcp3 +256*e2e1^2*amel2^2*x1*xcp2 +64*e2e1^2*amel2^2*x1*xcp1 -32*e2e1^2*amel2^2*x1*x5*xcp3 -640*e2e1^2*amel2^2*x1*x5*xcp2 -32*e2e1^2*amel2^2*x1*x5*xcp1 -64*e2e1^2*amel2^2*x1*x5^2*xcp3 +320*e2e1^2*amel2^2*x1*x5^2*xcp2 -64*e2e1^2*amel2^2*x1*x5^2*xcp1 +192*e2e1^2*amel2^2*x1*x4*xcp3 -832*e2e1^2*amel2^2*x1*x4*xcp2 +192*e2e1^2*amel2^2*x1*x4*xcp1 -320*e2e1^2*amel2^2*x1*x4*x5*xcp3 +1024*e2e1^2*amel2^2*x1*x4*x5*xcp2 -320*e2e1^2*amel2^2*x1*x4*x5*xcp1 -320*e2e1^2*amel2^2*x1*x4^2*xcp3 +512*e2e1^2*amel2^2*x1*x4^2*xcp2 -320*e2e1^2*amel2^2*x1*x4^2*xcp1 +32*e2e1^2*amel2^2*x1*x3*xcp3 -576*e2e1^2*amel2^2*x1*x3*xcp2 +32*e2e1^2*amel2^2*x1*x3*xcp1 -256*e2e1^2*amel2^2*x1*x3*x5*xcp3 +896*e2e1^2*amel2^2*x1*x3*x5*xcp2 -256*e2e1^2*amel2^2*x1*x3*x5*xcp1 -448*e2e1^2*amel2^2*x1*x3*x4*xcp3 +768*e2e1^2*amel2^2*x1*x3*x4*xcp2 -448*e2e1^2*amel2^2*x1*x3*x4*xcp1 -128*e2e1^2*amel2^2*x1*x3^2*xcp3 +192*e2e1^2*amel2^2*x1*x3^2*xcp2 -128*e2e1^2*amel2^2*x1*x3^2*xcp1 +32*e2e1^2*amel2^2*x1^2*xcp3 +32*e2e1^2*amel2^2*x1^2*xcp1 -32*e2e1^2*amel2^2*x1^2*x5*xcp3 +64*e2e1^2*amel2^2*x1^2*x5*xcp2 -32*e2e1^2*amel2^2*x1^2*x5*xcp1 -128*e2e1^2*amel2^2*x1^2*x4*xcp3 +64*e2e1^2*amel2^2*x1^2*x4*xcp2 -128*e2e1^2*amel2^2*x1^2*x4*xcp1 -128*e2e1^2*amel2^2*x1^2*x3*xcp3 -64*e2e1^2*amel2^2*x1^2*x3*xcp2 -128*e2e1^2*amel2^2*x1^2*x3*xcp1 -64*e2e1^2*amel2^2*x1^3*xcp2 -32*e2e1^3*zk^2*xcp2 -32*e2e1^3*zk^2*x4*xcp2 +32*e2e1^3*zk^2*x3*xcp2 -64*e2e1^3*amel2*x5*xcp3 +128*e2e1^3*amel2*x5*xcp2 -64*e2e1^3*amel2*x5*xcp1 +32*e2e1^3*amel2*x5^2*xcp3 +320*e2e1^3*amel2*x5^2*xcp2 +32*e2e1^3*amel2*x5^2*xcp1 -256*e2e1^3*amel2*x5^3*xcp2 +384*e2e1^3*amel2*x4*xcp2 +192*e2e1^3*amel2*x4*x5*xcp2 -64*e2e1^3*amel2*x4*x5^2*xcp3 -512*e2e1^3*amel2*x4*x5^2*xcp2 -64*e2e1^3*amel2*x4*x5^2*xcp1 -256*e2e1^3*amel2*x4^2*xcp2 -192*e2e1^3*amel2*x4^2*x5*xcp3 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fn main() {
    let poly: MultivariatePolynomial<_, u8> = Atom::parse(SIGMA).unwrap().to_polynomial(&Q, None);

    // optimize SIGMA and SIGMA + 5 at the same time
    let mut poly2 = poly.clone();
    poly2 = poly2.add_constant((5, 1).into());

    let (h, score, scheme) = HornerScheme::optimize_multiple(&[&poly, &poly2], 1000);

    let mut i = HornerScheme::to_instr_multiple(&h, poly.nvars());

    println!("Number of operations={}, with scheme={:?}", score, scheme,);

    i.fuse_operations();

    for _ in 0..100_000 {
        if !i.common_pair_elimination() {
            break;
        }
        i.fuse_operations();
    }

    let op_count = i.op_count();
    let o = i.to_output(poly.variables.as_ref().to_vec(), true);
    let o_f64 = o.convert::<f64>();

    println!("Writing output to evaluate_multiple.cpp");
    std::fs::write(
        "evaluate_multiple.cpp",
        format!(
            "{}",
            InstructionSetPrinter {
                name: "evaluate".to_string(),
                instr: &o,
                mode: symbolica::poly::evaluate::InstructionSetMode::CPP(
                    symbolica::poly::evaluate::InstructionSetModeCPPSettings {
                        write_header_and_test: true,
                        always_pass_output_array: false,
                    }
                )
            }
        ),
    )
    .unwrap();

    let mut evaluator = o_f64.evaluator();

    println!("Final number of operations={}", op_count);
    println!(
        "Evaluation = {:?}",
        evaluator
            .evaluate_with_input(&(0..poly.nvars()).map(|x| x as f64 + 1.).collect::<Vec<_>>())
    );
}