replace some jldoctest with @repl

The doc should be the same.

docs/src/advanced.md

@@ -6,89 +6,56 @@ StructArrays support structures with custom data layout. The user is required to
 
 Here is an example of a type `MyType` that has as custom fields either its field `data` or fields of its field `rest` (which is a named tuple):
 
-```jldoctest advanced1
-julia> using StructArrays
+```@repl advanced1
+using StructArrays
 
-julia> struct MyType{T, NT<:NamedTuple}
-           data::T
-           rest::NT
-       end
+struct MyType{T, NT<:NamedTuple}
+    data::T
+    rest::NT
+end
 
-julia> MyType(x; kwargs...) = MyType(x, values(kwargs))
-MyType
+MyType(x; kwargs...) = MyType(x, values(kwargs))
 ```
 
 Let's create a small array of these objects:
 
-```jldoctest advanced1
-julia> s = [MyType(i/5, a=6-i, b=2) for i in 1:5]
-5-element Vector{MyType{Float64, NamedTuple{(:a, :b), Tuple{Int64, Int64}}}}:
- MyType{Float64, NamedTuple{(:a, :b), Tuple{Int64, Int64}}}(0.2, (a = 5, b = 2))
- MyType{Float64, NamedTuple{(:a, :b), Tuple{Int64, Int64}}}(0.4, (a = 4, b = 2))
- MyType{Float64, NamedTuple{(:a, :b), Tuple{Int64, Int64}}}(0.6, (a = 3, b = 2))
- MyType{Float64, NamedTuple{(:a, :b), Tuple{Int64, Int64}}}(0.8, (a = 2, b = 2))
- MyType{Float64, NamedTuple{(:a, :b), Tuple{Int64, Int64}}}(1.0, (a = 1, b = 2))
+```@repl advanced1
+s = [MyType(i/5, a=6-i, b=2) for i in 1:5]
 ```
 
 The default `StructArray` does not unpack the `NamedTuple`:
 
-```jldoctest advanced1
-julia> sa = StructArray(s);
-
-julia> sa.rest
-5-element Vector{NamedTuple{(:a, :b), Tuple{Int64, Int64}}}:
- (a = 5, b = 2)
- (a = 4, b = 2)
- (a = 3, b = 2)
- (a = 2, b = 2)
- (a = 1, b = 2)
-
-julia> sa.a
-ERROR: type NamedTuple has no field a
-Stacktrace:
- [1] component
-[...]
+```@repl advanced1
+sa = StructArray(s);
+sa.rest
+sa.a
 ```
 
 Suppose we wish to give the keywords their own fields. We can define custom `staticschema`, `component`, and `createinstance` methods for `MyType`:
 
-```jldoctest advanced1
-julia> function StructArrays.staticschema(::Type{MyType{T, NamedTuple{names, types}}}) where {T, names, types}
-           # Define the desired names and eltypes of the "fields"
-           return NamedTuple{(:data, names...), Base.tuple_type_cons(T, types)}
-       end;
-
-julia> function StructArrays.component(m::MyType, key::Symbol)
-            # Define a component-extractor
-            return key === :data ? getfield(m, 1) : getfield(getfield(m, 2), key)
-       end;
-
-julia> function StructArrays.createinstance(::Type{MyType{T, NT}}, x, args...) where {T, NT}
-            # Generate an instance of MyType from components
-            return MyType(x, NT(args))
-       end;
+```@repl advanced1
+function StructArrays.staticschema(::Type{MyType{T, NamedTuple{names, types}}}) where {T, names, types}
+    # Define the desired names and eltypes of the "fields"
+    return NamedTuple{(:data, names...), Base.tuple_type_cons(T, types)}
+end;
+
+function StructArrays.component(m::MyType, key::Symbol)
+    # Define a component-extractor
+    return key === :data ? getfield(m, 1) : getfield(getfield(m, 2), key)
+end;
+
+function StructArrays.createinstance(::Type{MyType{T, NT}}, x, args...) where {T, NT}
+    # Generate an instance of MyType from components
+    return MyType(x, NT(args))
+end;
 ```
 
 and now:
 
-```jldoctest advanced1
-julia> sa = StructArray(s);
-
-julia> sa.a
-5-element Vector{Int64}:
- 5
- 4
- 3
- 2
- 1
-
-julia> sa.b
-5-element Vector{Int64}:
- 2
- 2
- 2
- 2
- 2
+```@repl advanced1
+sa = StructArray(s);
+sa.a
+sa.b
 ```
 
 The above strategy has been tested and implemented in [GeometryBasics.jl](https://github.com/JuliaGeometry/GeometryBasics.jl).

docs/src/index.md

@@ -9,73 +9,39 @@ The package was largely inspired by the `Columns` type in [IndexedTables](https:
 ## Collection and initialization
 
 One can create a `StructArray` by providing the struct type and a tuple or NamedTuple of field arrays:
-```jldoctest intro
-julia> using StructArrays
-
-julia> struct Foo{T}
-           a::T
-           b::T
-       end
-
-julia> adata = [1 2; 3 4]; bdata = [10 20; 30 40];
-
-julia> x = StructArray{Foo}((adata, bdata))
-2×2 StructArray(::Matrix{Int64}, ::Matrix{Int64}) with eltype Foo:
- Foo{Int64}(1, 10)  Foo{Int64}(2, 20)
- Foo{Int64}(3, 30)  Foo{Int64}(4, 40)
+```@repl intro
+using StructArrays
+struct Foo{T}
+    a::T
+    b::T
+end
+adata = [1 2; 3 4]; bdata = [10 20; 30 40];
+x = StructArray{Foo}((adata, bdata))
 ```
 
 You can also initialze a StructArray by passing in a NamedTuple, in which case the name (rather than the order) specifies how the input arrays are assigned to fields:
 
-```jldoctest intro
-julia> x = StructArray{Foo}((b = adata, a = bdata))    # initialize a with bdata and vice versa
-2×2 StructArray(::Matrix{Int64}, ::Matrix{Int64}) with eltype Foo:
- Foo{Int64}(10, 1)  Foo{Int64}(20, 2)
- Foo{Int64}(30, 3)  Foo{Int64}(40, 4)
+```@repl intro
+x = StructArray{Foo}((b = adata, a = bdata))    # initialize a with bdata and vice versa
 ```
 
 If a struct is not specified, a StructArray with Tuple or NamedTuple elements will be created:
-```jldoctest intro
-julia> x = StructArray((adata, bdata))
-2×2 StructArray(::Matrix{Int64}, ::Matrix{Int64}) with eltype Tuple{Int64, Int64}:
- (1, 10)  (2, 20)
- (3, 30)  (4, 40)
-
-julia> x = StructArray((a = adata, b = bdata))
-2×2 StructArray(::Matrix{Int64}, ::Matrix{Int64}) with eltype NamedTuple{(:a, :b), Tuple{Int64, Int64}}:
- (a = 1, b = 10)  (a = 2, b = 20)
- (a = 3, b = 30)  (a = 4, b = 40)
+```@repl intro
+x = StructArray((adata, bdata))
+x = StructArray((a = adata, b = bdata))
 ```
 
 It's also possible to create a `StructArray` by choosing a particular dimension to interpret as the components of a struct:
 
-```jldoctest intro
-julia> x = StructArray{Complex{Int}}(adata; dims=1)  # along dimension 1, the first item `re` and the second is `im`
-2-element StructArray(view(::Matrix{Int64}, 1, :), view(::Matrix{Int64}, 2, :)) with eltype Complex{Int64}:
- 1 + 3im
- 2 + 4im
-
-julia> x = StructArray{Complex{Int}}(adata; dims=2)  # along dimension 2, the first item `re` and the second is `im`
-2-element StructArray(view(::Matrix{Int64}, :, 1), view(::Matrix{Int64}, :, 2)) with eltype Complex{Int64}:
- 1 + 2im
- 3 + 4im
+```@repl intro
+x = StructArray{Complex{Int}}(adata; dims=1)  # along dimension 1, the first item `re` and the second is `im`
+x = StructArray{Complex{Int}}(adata; dims=2)  # along dimension 2, the first item `re` and the second is `im`
 ```
 
 One can also create a `StructArray` from an iterable of structs without creating an intermediate `Array`:
 
-```jldoctest intro
-julia> StructArray(log(j+2.0*im) for j in 1:10)
-10-element StructArray(::Vector{Float64}, ::Vector{Float64}) with eltype ComplexF64:
- 0.8047189562170501 + 1.1071487177940904im
- 1.0397207708399179 + 0.7853981633974483im
- 1.2824746787307684 + 0.5880026035475675im
- 1.4978661367769954 + 0.4636476090008061im
-  1.683647914993237 + 0.3805063771123649im
- 1.8444397270569681 + 0.3217505543966422im
-  1.985145956776061 + 0.27829965900511133im
- 2.1097538525880535 + 0.24497866312686414im
- 2.2213256282451583 + 0.21866894587394195im
- 2.3221954495706862 + 0.19739555984988078im
+```@repl intro
+StructArray(log(j+2.0*im) for j in 1:10)
 ```
 
 Another option is to create an uninitialized `StructArray` and then fill it with data. Just like in normal arrays, this is done with the `undef` syntax: