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RFC: print all types using equivalent exported aliases #36107

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Jul 2, 2020
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RFC: print all types using equivalent exported aliases #36107

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54 changes: 27 additions & 27 deletions base/abstractarray.jl
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Original file line number Diff line number Diff line change
Expand Up @@ -614,7 +614,7 @@ elements since `BitArray`s are both mutable and can support 1-dimensional arrays

```julia-repl
julia> similar(trues(10,10), 2)
2-element BitArray{1}:
2-element BitVector:
0
0
```
Expand Down Expand Up @@ -829,7 +829,7 @@ julia> y = zeros(7);
julia> copyto!(y, x);

julia> y
7-element Array{Float64,1}:
7-element Vector{Float64}:
1.0
0.0
3.0
Expand Down Expand Up @@ -965,7 +965,7 @@ julia> tup = (1, 2, 3)
(1, 2, 3)

julia> Base.copymutable(tup)
3-element Array{Int64,1}:
3-element Vector{Int64}:
1
2
3
Expand Down Expand Up @@ -1040,20 +1040,20 @@ Return a subset of array `A` as specified by `inds`, where each `ind` may be an
# Examples
```jldoctest
julia> A = [1 2; 3 4]
2×2 Array{Int64,2}:
2×2 Matrix{Int64}:
1 2
3 4

julia> getindex(A, 1)
1

julia> getindex(A, [2, 1])
2-element Array{Int64,1}:
2-element Vector{Int64}:
3
1

julia> getindex(A, 2:4)
3-element Array{Int64,1}:
3-element Vector{Int64}:
3
2
4
Expand Down Expand Up @@ -1151,7 +1151,7 @@ julia> setindex!(A, [10, 20], [1, 2]);
julia> A[[3, 4]] = [30, 40];

julia> A
2×2 Array{Float64,2}:
2×2 Matrix{Float64}:
10.0 30.0
20.0 40.0
```
Expand Down Expand Up @@ -1208,17 +1208,17 @@ during object creation. If the input is not a wrapped object, return the input i
# Examples
```jldoctest
julia> A = [1 2; 3 4]
2×2 Array{Int64,2}:
2×2 Matrix{Int64}:
1 2
3 4

julia> V = view(A, 1:2, :)
2×2 view(::Array{Int64,2}, 1:2, :) with eltype Int64:
2×2 view(::Matrix{Int64}, 1:2, :) with eltype Int64:
1 2
3 4

julia> parent(V)
2×2 Array{Int64,2}:
2×2 Matrix{Int64}:
1 2
3 4
```
Expand Down Expand Up @@ -1566,16 +1566,16 @@ Concatenate along dimension 1.
# Examples
```jldoctest
julia> a = [1 2 3 4 5]
1×5 Array{Int64,2}:
1×5 Matrix{Int64}:
1 2 3 4 5

julia> b = [6 7 8 9 10; 11 12 13 14 15]
2×5 Array{Int64,2}:
2×5 Matrix{Int64}:
6 7 8 9 10
11 12 13 14 15

julia> vcat(a,b)
3×5 Array{Int64,2}:
3×5 Matrix{Int64}:
1 2 3 4 5
6 7 8 9 10
11 12 13 14 15
Expand All @@ -1584,7 +1584,7 @@ julia> c = ([1 2 3], [4 5 6])
([1 2 3], [4 5 6])

julia> vcat(c...)
2×3 Array{Int64,2}:
2×3 Matrix{Int64}:
1 2 3
4 5 6
```
Expand All @@ -1598,23 +1598,23 @@ Concatenate along dimension 2.
# Examples
```jldoctest
julia> a = [1; 2; 3; 4; 5]
5-element Array{Int64,1}:
5-element Vector{Int64}:
1
2
3
4
5

julia> b = [6 7; 8 9; 10 11; 12 13; 14 15]
5×2 Array{Int64,2}:
5×2 Matrix{Int64}:
6 7
8 9
10 11
12 13
14 15

julia> hcat(a,b)
5×3 Array{Int64,2}:
5×3 Matrix{Int64}:
1 6 7
2 8 9
3 10 11
Expand All @@ -1625,16 +1625,16 @@ julia> c = ([1; 2; 3], [4; 5; 6])
([1, 2, 3], [4, 5, 6])

julia> hcat(c...)
3×2 Array{Int64,2}:
3×2 Matrix{Int64}:
1 4
2 5
3 6

julia> x = Matrix(undef, 3, 0) # x = [] would have created an Array{Any, 1}, but need an Array{Any, 2}
3×0 Array{Any,2}
3×0 Matrix{Any}

julia> hcat(x, [1; 2; 3])
3×1 Array{Any,2}:
3×1 Matrix{Any}:
1
2
3
Expand Down Expand Up @@ -1703,23 +1703,23 @@ julia> a, b, c, d, e, f = 1, 2, 3, 4, 5, 6
(1, 2, 3, 4, 5, 6)

julia> [a b c; d e f]
2×3 Array{Int64,2}:
2×3 Matrix{Int64}:
1 2 3
4 5 6

julia> hvcat((3,3), a,b,c,d,e,f)
2×3 Array{Int64,2}:
2×3 Matrix{Int64}:
1 2 3
4 5 6

julia> [a b;c d; e f]
3×2 Array{Int64,2}:
3×2 Matrix{Int64}:
1 2
3 4
5 6

julia> hvcat((2,2,2), a,b,c,d,e,f)
3×2 Array{Int64,2}:
3×2 Matrix{Int64}:
1 2
3 4
5 6
Expand Down Expand Up @@ -2184,13 +2184,13 @@ See also: [`mapslices`](@ref)
# Examples
```jldoctest
julia> map(x -> x * 2, [1, 2, 3])
3-element Array{Int64,1}:
3-element Vector{Int64}:
2
4
6

julia> map(+, [1, 2, 3], [10, 20, 30])
3-element Array{Int64,1}:
3-element Vector{Int64}:
11
22
33
Expand Down Expand Up @@ -2243,7 +2243,7 @@ julia> a = zeros(3);
julia> map!(x -> x * 2, a, [1, 2, 3]);

julia> a
3-element Array{Float64,1}:
3-element Vector{Float64}:
2.0
4.0
6.0
Expand Down
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