rasen-dsl 0.2.0

//! Mul trait implementation

use quote::{Ident, Tokens};
use codegen::defs::{Category, Node};
use codegen::math::construct_type;
use codegen::operations::match_values;

fn impl_vector_times_scalar(result: Ident, size: u32, vector: Tokens, scalar: Tokens) -> Tokens {
    let v_fields: Vec<_> = {
        (0..size)
            .map(|i| Ident::from(format!("v_{}", i)))
            .collect()
    };
    let res_fields: Vec<_> = {
        v_fields.iter()
            .map(|f| {
                quote! { #f * other }
            })
            .collect()
    };

    quote! {
        let #result( #( #v_fields ),* ) = #vector;
        let other = #scalar;
        #result( #( #res_fields ),* ).into()
    }
}

fn impl_vector_times_matrix(result: Ident, size: u32, vector: Tokens, matrix: Tokens) -> Tokens {
    let v_fields = {
        (0..size)
            .map(|i| Ident::from(format!("v_{}", i)))
    };
    let res_fields = {
        (0..size)
            .map(|i| {
                let sum = {
                    (0..size)
                        .map(|j| {
                            let f = Ident::from(format!("v_{}", j));
                            let index = ((i * size) + j) as usize;
                            quote! { #f * matrix[#index] }
                        })
                };

                quote! { #( #sum )+* }
            })
    };

    quote! {
        let #result( #( #v_fields ),* ) = #vector;
        let matrix = #matrix;
        #result( #( #res_fields ),* ).into()
    }
}

#[cfg_attr(feature="clippy", allow(match_same_arms))]
pub fn impl_mul_variant(left_type: Node, right_type: Node) -> Option<Tokens> {
    let left_res = left_type.result.clone();
    let right_res = right_type.result.clone();

    let (result, mul_impl) = match (left_res.category, left_res.ty, right_res.category, right_res.ty) {
        (_, "bool", _, _) |
        (_, _, _, "bool") |
        (Category::SCALAR, _, Category::SCALAR, _) => return None,

        (lc, lt, rc, rt) if lc == rc && lt == rt && left_res.size == right_res.size => (
            left_res.name.clone(),
            match lc {
                Category::SCALAR => {
                    quote! {
                        (lhs * rhs).into()
                    }
                },
                Category::VECTOR => {
                    let result = left_res.name.clone();
                    let l_fields: Vec<_> = {
                        (0..left_res.size.unwrap())
                            .map(|i| Ident::from(format!("l_{}", i)))
                            .collect()
                    };
                    let r_fields: Vec<_> = {
                        (0..left_res.size.unwrap())
                            .map(|i| Ident::from(format!("r_{}", i)))
                            .collect()
                    };
                    let res_fields: Vec<_> = {
                        l_fields.iter()
                            .zip(r_fields.iter())
                            .map(|(l_f, r_f)| {
                                quote! { #l_f * #r_f }
                            })
                            .collect()
                    };

                    quote! {
                        let #result( #( #l_fields ),* ) = lhs;
                        let #result( #( #r_fields ),* ) = rhs;
                        #result( #( #res_fields ),* ).into()
                    }
                },
                Category::MATRIX => {
                    let result = left_res.name.clone();
                    let size = left_res.size.unwrap() as usize;
                    let res_fields: Vec<_> = {
                        (0..size)
                            .flat_map(|i| {
                                (0..size)
                                    .map(move |j| {
                                        let sum = {
                                            (0..size)
                                                .map(|k| {
                                                    let l = i * size + k;
                                                    let r = k * size + j;
                                                    quote! { left_mat[#l] * right_mat[#r] }
                                                })
                                        };

                                        quote! { #( #sum )+* }
                                    })
                            })
                            .collect()
                    };

                    quote! {
                        let left_mat = lhs.0;
                        let right_mat = rhs.0;
                        #result( #res_fields ).into()
                    }
                },
            }
        ),

        (Category::VECTOR, lt, rc, rt) if lt == rt && left_res.size.unwrap() == right_res.size.or(left_res.size).unwrap() => (
            left_res.name.clone(),
            match rc {
                Category::VECTOR => unreachable!(),
                Category::SCALAR => {
                    impl_vector_times_scalar(
                        left_res.name.clone(),
                        left_res.size.unwrap(),
                        quote! { lhs },
                        quote! { rhs },
                    )
                },
                Category::MATRIX => impl_vector_times_matrix(
                    left_res.name.clone(),
                    left_res.size.unwrap(),
                    quote! { lhs },
                    quote! { rhs.0 },
                ),
            }
        ),
        (lc, lt, Category::VECTOR, rt) if lt == rt && right_res.size.unwrap() == left_res.size.or(right_res.size).unwrap() => (
            right_res.name.clone(),
            match lc {
                Category::VECTOR => unreachable!(),
                Category::SCALAR => {
                    impl_vector_times_scalar(
                        right_res.name.clone(),
                        right_res.size.unwrap(),
                        quote! { rhs },
                        quote! { lhs },
                    )
                },
                Category::MATRIX => impl_vector_times_matrix(
                    right_res.name.clone(),
                    right_res.size.unwrap(),
                    quote! { rhs },
                    quote! { lhs.0 },
                ),
            }
        ),

        _ => return None,
    };

    let left_type = construct_type(left_type);
    let right_type = construct_type(right_type);

    let func_impl = match_values(
        &[Ident::from("lhs"), Ident::from("rhs")],
        &mul_impl,
        quote! {
            let index = graph.add_node(Node::Multiply);
            graph.add_edge(lhs, index, 0);
            graph.add_edge(rhs, index, 1);
            index
        },
    );

    Some(quote! {
        impl Mul<#right_type> for #left_type {
            type Output = Value<#result>;

            #[inline]
            fn mul(self, rhs: #right_type) -> Self::Output {
                let lhs = self;
                #func_impl
            }
        }
    })
}