export CenteredStencil

struct Stencil{T,N}
    range::Tuple{Int,Int}
    weights::NTuple{N,T}

    function Stencil(range::Tuple{Int,Int},weights::NTuple{N,T}) where {T, N}
        @assert range[2]-range[1]+1 == N
        new{T,N}(range,weights)
    end
end

"""
    Stencil(weights::NTuple; center::Int)

Create a stencil with the given weights with element `center` as the center of the stencil.
"""
function Stencil(weights::Vararg{T}; center::Int) where T # Type parameter T makes sure the weights are valid for the Stencil constuctors and throws an earlier, more readable, error
    N = length(weights)
    range = (1, N) .- center

    return Stencil(range, weights)
end

function Stencil{T}(s::Stencil) where T
    return Stencil(s.range, T.(s.weights))
end

Base.convert(::Type{Stencil{T}}, stencil) where T = Stencil{T}(stencil)

function CenteredStencil(weights::Vararg)
    if iseven(length(weights))
        throw(ArgumentError("a centered stencil must have an odd number of weights."))
    end

    r = length(weights) ÷ 2

    return Stencil((-r, r), weights)
end


"""
    scale(s::Stencil, a)

Scale the weights of the stencil `s` with `a` and return a new stencil.
"""
function scale(s::Stencil, a)
    return Stencil(s.range, a.*s.weights)
end

Base.eltype(::Stencil{T}) where T = T

function flip(s::Stencil)
    range = (-s.range[2], -s.range[1])
    return Stencil(range, reverse(s.weights))
end

# Provides index into the Stencil based on offset for the root element
@inline function Base.getindex(s::Stencil, i::Int)
    @boundscheck if i < s.range[1] || s.range[2] < i
        return zero(eltype(s))
    end
    return s.weights[1 + i - s.range[1]]
end

Base.@propagate_inbounds @inline function apply_stencil(s::Stencil{T,N}, v::AbstractVector, i::Int) where {T,N}
    w = s.weights[1]*v[i + s.range[1]]
    @simd for k ∈ 2:N
        w += s.weights[k]*v[i + s.range[1] + k-1]
    end
    return w
end

Base.@propagate_inbounds @inline function apply_stencil_backwards(s::Stencil{T,N}, v::AbstractVector, i::Int) where {T,N}
    w = s.weights[N]*v[i - s.range[2]]
    @simd for k ∈ N-1:-1:1
        w += s.weights[k]*v[i - s.range[1] - k + 1]
    end
    return w
end