"""
    EquidistantGrid{T,R<:AbstractRange{T}} <: Grid{T,1}

A one-dimensional equidistant grid. Most users are expected to use
[`equidistant_grid`](@ref) for constructing equidistant grids.

See also: [`equidistant_grid`](@ref)


## Note
The type of range used for the points can likely impact performance.
"""
struct EquidistantGrid{T,R<:AbstractRange{T}} <: Grid{T,1}
    points::R
end

# Indexing interface
Base.getindex(g::EquidistantGrid, i) = g.points[i]
Base.eachindex(g::EquidistantGrid) = eachindex(g.points)
Base.firstindex(g::EquidistantGrid) = firstindex(g.points)
Base.lastindex(g::EquidistantGrid) = lastindex(g.points)

Base.axes(g::EquidistantGrid, d) = axes(g.points, d)

# Iteration interface
Base.iterate(g::EquidistantGrid) = iterate(g.points)
Base.iterate(g::EquidistantGrid, state) = iterate(g.points, state)

Base.IteratorSize(::Type{<:EquidistantGrid}) = Base.HasShape{1}()
Base.length(g::EquidistantGrid) = length(g.points)
Base.size(g::EquidistantGrid) = size(g.points)
Base.size(g::EquidistantGrid, d) = size(g.points)[d]


"""
    spacing(grid::EquidistantGrid)

The spacing between grid points.
"""
spacing(g::EquidistantGrid) = step(g.points)


"""
    inverse_spacing(grid::EquidistantGrid)

The reciprocal of the spacing between grid points.
"""
inverse_spacing(g::EquidistantGrid) = 1/step(g.points)

min_spacing(g::EquidistantGrid) = spacing(g)


boundary_identifiers(::EquidistantGrid) = (Lower(), Upper())
boundary_grid(g::EquidistantGrid, id::Lower) = ZeroDimGrid(g[begin])
boundary_grid(g::EquidistantGrid, id::Upper) = ZeroDimGrid(g[end])
boundary_indices(g::EquidistantGrid, id::Lower) = (1,)
boundary_indices(g::EquidistantGrid, id::Upper) = (length(g),)

"""
    refine(g::EquidistantGrid, r::Int)

The grid where `g` is refined by the factor `r`. The factor is applied to the number of
intervals, i.e., 1 less than the size of  `g`.

See also: [`coarsen`](@ref)
"""
function refine(g::EquidistantGrid, r::Int)
    new_sz = (length(g) - 1)*r + 1
    return EquidistantGrid(change_length(g.points, new_sz))
end

"""
    coarsen(g::EquidistantGrid, r::Int)

The grid where `g` is coarsened by the factor `r`. The factor is applied to the number of
intervals, i.e., 1 less than the size of `g`. If the number of
intervals are not divisible by `r` an error is raised.

See also: [`refine`](@ref)
"""
function coarsen(g::EquidistantGrid, r::Int)
    if (length(g)-1)%r != 0
        throw(DomainError(r, "Size minus 1 must be divisible by the ratio."))
    end

    new_sz = (length(g) - 1)÷r + 1

    return EquidistantGrid(change_length(g.points, new_sz))
end


"""
    equidistant_grid(limit_lower, limit_upper, dims...)

Construct an equidistant grid with corners at the coordinates `limit_lower` and
`limit_upper`.

The length of the domain sides are given by the components of
`limit_upper-limit_lower`. E.g for a 2D grid with `limit_lower=(-1,0)` and
`limit_upper=(1,2)` the domain is defined as `(-1,1)x(0,2)`. The side lengths
of the grid are not allowed to be negative.

The number of equispaced points in each coordinate direction are given
by the tuple `dims`.

Note: If `limit_lower` and `limit_upper` are integers and `dims` would allow a
completely integer grid, `equidistant_grid` will still return a floating point
grid. This simplifies the implementation and avoids certain surprise
behaviors.
"""
function equidistant_grid(limit_lower, limit_upper, dims::Vararg{Int})
    if !(length(limit_lower) == length(limit_upper) == length(dims))
        throw(ArgumentError("All arguments must be of the same length"))
    end
    gs = map(equidistant_grid, limit_lower, limit_upper, dims)
    return TensorGrid(gs...)
end

"""
    equidistant_grid(limit_lower::Number, limit_upper::Number, size::Int)

Constructs a 1D equidistant grid.
"""
function equidistant_grid(limit_lower::Number, limit_upper::Number, size::Int)
    if size <= 0
        throw(DomainError("size must be postive"))
    end

    if limit_upper-limit_lower <= 0
        throw(DomainError("side length must be postive"))
    end

	return EquidistantGrid(range(limit_lower, limit_upper, length=size)) # TBD: Should it use LinRange instead?
end


equidistant_grid(hb::HyperBox, dims::Vararg{Int}) = equidistant_grid(hb.a, hb.b, dims...)
# TODO: One dimensional grids shouldn't have vector eltype right?, Change here or in HyperBox?

function equidistant_grid(c::Chart, dims::Vararg{Int})
    lg = equidistant_grid(parameterspace(c), dims...)
    return MappedGrid(
        lg,
        map(c,lg),
        map(ξ->jacobian(c, ξ), lg),
    )
end


CartesianBoundary{D,BID} = TensorGridBoundary{D,BID} # TBD: What should we do about the naming of this boundary?


"""
    change_length(r::AbstractRange, n)

Change the length of `r` to `n`, keeping the same start and stop.
"""
function change_length end

change_length(r::UnitRange, n) = StepRange{Int,Int}(range(r[begin], r[end], n))
change_length(r::StepRange, n) = StepRange{Int,Int}(range(r[begin], r[end], n))
change_length(r::StepRangeLen, n) = range(r[begin], r[end], n)
change_length(r::LinRange, n) = LinRange(r[begin], r[end], n)