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Recommend to use tuples to scalarize items in broadcast expressions #35591

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Merged
merged 7 commits into from
Apr 29, 2020
Merged

Recommend to use tuples to scalarize items in broadcast expressions #35591

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8d55fa5
don't wrap `UInt8` in a tuple
MasonProtter Apr 24, 2020
9159a5c
Recommend to use tuples to scalarize an item.
MasonProtter Apr 24, 2020
2aa899e
Don't recommend to use Ref for scalarizing
MasonProtter Apr 24, 2020
17d984f
Update arrays.md
MasonProtter Apr 28, 2020
f2d92c5
Update refpointer.jl
MasonProtter Apr 28, 2020
329c1e4
add Matt's recommendation
MasonProtter Apr 28, 2020
1fc0325
remove whitespace
MasonProtter Apr 29, 2020
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11 changes: 0 additions & 11 deletions base/refpointer.jl
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Original file line number Diff line number Diff line change
Expand Up @@ -18,17 +18,6 @@ converted to a native pointer to the data it references.

There is no invalid (NULL) `Ref` in Julia, but a `C_NULL` instance of `Ptr` can be passed to
a `ccall` Ref argument.

# Use in broadcasting

Broadcasting with `Ref(x)` treats `x` as a scalar:
```jldoctest
julia> isa.(Ref([1,2,3]), [Array, Dict, Int])
3-element BitArray{1}:
1
0
0
```
"""
Ref

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12 changes: 11 additions & 1 deletion doc/src/manual/arrays.md
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Expand Up @@ -933,7 +933,7 @@ julia> convert.(Float32, [1, 2])
1.0
2.0

julia> ceil.((UInt8,), [1.2 3.4; 5.6 6.7])
julia> ceil.(UInt8, [1.2 3.4; 5.6 6.7])
2×2 Array{UInt8,2}:
0x02 0x04
0x06 0x07
Expand All @@ -945,6 +945,16 @@ julia> string.(1:3, ". ", ["First", "Second", "Third"])
"3. Third"
```

Sometimes, you have a non-scalar object like an array that you wish to treat as a scalar in a particular
broadcast expression. This is best done by wrapping that item in a [`Tuple`](@ref)
```jldoctest
julia> ([1, 2, 3], [4, 5, 6]) .+ ([1, 2, 3],)
([2, 4, 6], [5, 7, 9])

julia> ([1, 2, 3], [4, 5, 6]) .+ tuple([1, 2, 3])
([2, 4, 6], [5, 7, 9])
```

## Implementation

The base array type in Julia is the abstract type [`AbstractArray{T,N}`](@ref). It is parameterized by
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