# This file is a part of Julia. License is MIT: https://julialang.org/license """ Generator(f, iter) Given a function `f` and an iterator `iter`, construct an iterator that yields the values of `f` applied to the elements of `iter`. The syntax `f(x) for x in iter [if cond(x)::Bool]` is syntax for constructing an instance of this type. The `[if cond(x)::Bool]` expression is optional and acts as a "guard", effectively filtering out values where the condition is false. ```jldoctest julia> g = (abs2(x) for x in 1:5 if x != 3); julia> for x in g println(x) end 1 4 16 25 julia> collect(g) 4-element Array{Int64,1}: 1 4 16 25 ``` """ struct Generator{I,F} f::F iter::I end Generator(f, I1, I2, Is...) = Generator(a->f(a...), zip(I1, I2, Is...)) Generator(::Type{T}, iter::I) where {T,I} = Generator{I,Type{T}}(T, iter) Generator(::Type{T}, I1, I2, Is...) where {T} = Generator(a->T(a...), zip(I1, I2, Is...)) start(g::Generator) = (@_inline_meta; start(g.iter)) done(g::Generator, s) = (@_inline_meta; done(g.iter, s)) function next(g::Generator, s) @_inline_meta v, s2 = next(g.iter, s) g.f(v), s2 end ## iterator traits abstract type IteratorSize end struct SizeUnknown <: IteratorSize end struct HasLength <: IteratorSize end struct HasShape <: IteratorSize end struct IsInfinite <: IteratorSize end """ iteratorsize(itertype::Type) -> IteratorSize Given the type of an iterator, returns one of the following values: * `SizeUnknown()` if the length (number of elements) cannot be determined in advance. * `HasLength()` if there is a fixed, finite length. * `HasShape()` if there is a known length plus a notion of multidimensional shape (as for an array). In this case the [`size`](@ref) function is valid for the iterator. * `IsInfinite()` if the iterator yields values forever. The default value (for iterators that do not define this function) is `HasLength()`. This means that most iterators are assumed to implement [`length`](@ref). This trait is generally used to select between algorithms that pre-allocate space for their result, and algorithms that resize their result incrementally. ```jldoctest julia> Base.iteratorsize(1:5) Base.HasShape() julia> Base.iteratorsize((2,3)) Base.HasLength() ``` """ iteratorsize(x) = iteratorsize(typeof(x)) iteratorsize(::Type) = HasLength() # HasLength is the default abstract type IteratorEltype end struct EltypeUnknown <: IteratorEltype end struct HasEltype <: IteratorEltype end """ iteratoreltype(itertype::Type) -> IteratorEltype Given the type of an iterator, returns one of the following values: * `EltypeUnknown()` if the type of elements yielded by the iterator is not known in advance. * `HasEltype()` if the element type is known, and [`eltype`](@ref) would return a meaningful value. `HasEltype()` is the default, since iterators are assumed to implement [`eltype`](@ref). This trait is generally used to select between algorithms that pre-allocate a specific type of result, and algorithms that pick a result type based on the types of yielded values. ```jldoctest julia> Base.iteratoreltype(1:5) Base.HasEltype() ``` """ iteratoreltype(x) = iteratoreltype(typeof(x)) iteratoreltype(::Type) = HasEltype() # HasEltype is the default iteratorsize(::Type{<:AbstractArray}) = HasShape() iteratorsize(::Type{Generator{I,F}}) where {I,F} = iteratorsize(I) length(g::Generator) = length(g.iter) size(g::Generator) = size(g.iter) indices(g::Generator) = indices(g.iter) ndims(g::Generator) = ndims(g.iter) iteratoreltype(::Type{Generator{I,T}}) where {I,T} = EltypeUnknown() haslength(iter) = iteratorsize(iter) isa Union{HasShape, HasLength}