Add short-form macro for SArray construction

docs/src/pages/api.md

@@ -36,7 +36,7 @@ functions).
 A container with arbitrarily many dimensions is defined as
 `struct SArray{Size,T,N,L} <: StaticArray{Size,T,N}`, where
 `Size = Tuple{S1, S2, ...}` is a tuple of `Int`s. You can easily construct one with
-the `@SArray` macro, supporting all the features of `@SVector` and `@SMatrix`
+the `@SArray` macro (or the short-form `@sa` macro), supporting all the features of `@SVector` and `@SMatrix`
 (but with arbitrary dimension).
 
 The main reason `SVector` and `SMatrix` are defined is to make it easier to

docs/src/pages/quickstart.md

@@ -29,6 +29,10 @@ m5 = SMatrix{2,2}([1 3 ; 2 4]) # Array conversions must specify size
 # Higher-dimensional support
 a = @SArray randn(2, 2, 2, 2, 2, 2)
 
+# Short-form macro for static vectors or matrices
+m6 = @sa [1 2; 3 4]
+m7 = @sa[1 2; 3 4] * @sa[5, 6] # without space or parenthesis, requires Julia v0.7 or above
+
 # Supports all the common operations of AbstractArray
 v7 = v1 + v2
 v8 = sin.(v3)

src/SArray.jl

@@ -253,6 +253,8 @@ macro SArray(ex)
     end
 end
 
+macro sa(ex); esc(:(@SArray($ex))); end
+
 function promote_rule(::Type{<:SArray{S,T,N,L}}, ::Type{<:SArray{S,U,N,L}}) where {S,T,U,N,L}
     SArray{S,promote_type(T,U),N,L}
 end

src/StaticArrays.jl

@@ -27,7 +27,7 @@ export SDiagonal
 
 export Size, Length
 
-export @SVector, @SMatrix, @SArray
+export @SVector, @SMatrix, @SArray, @sa
 export @MVector, @MMatrix, @MArray
 
 export similar_type

test/SArray.jl

@@ -89,6 +89,9 @@
 
         # Non-square comprehensions built from SVectors - see #76
         @test @SArray([1 for x = SVector(1,2), y = SVector(1,2,3)]) == ones(2,3)
+
+        # @SArray short-form macro
+        @test @macroexpand(@sa([a b; c d])) == @macroexpand(@SArray([a b; c d]))
     end
 
     @testset "Methods" begin