remove rand!(::AbstractArray, ::AbstractArray) until JuliaLang#8246 is fixed

Author: rfourquet

base/random.jl

@@ -204,15 +204,18 @@ rand(r::AbstractArray) = r[rand(randintgen(length(r)))]
 
 # Arrays of random integers
 
-function rand!(r::AbstractArray, A::AbstractArray)
+rand!(r::Range, A::AbstractArray) = rand!(r, A, ())
+
+# TODO: this more general version is "disabled" until #8246 is resolved
+function rand!(r::AbstractArray, A::AbstractArray, ::())
     g = randintgen(length(r))
     for i = 1 : length(A)
         @inbounds A[i] = r[rand(g)]
     end
     return A
 end
 
-rand{T}(r::AbstractArray{T}, dims::Dims) = rand!(r, Array(T, dims))
+rand{T}(r::AbstractArray{T}, dims::Dims) = rand!(r, Array(T, dims), ())
 rand(r::AbstractArray, dims::Int...) = rand(r, dims)
 
 

doc/stdlib/base.rst

@@ -3964,9 +3964,9 @@ Random number generation in Julia uses the `Mersenne Twister library <http://www
 
    Pick a random element or array of random elements from the indexable collection  ``coll`` (for example, ``1:n`` or ``['x','y','z']``).
 
-.. function:: rand!(coll, A)
+.. function:: rand!(r, A)
 
-   Populate the array A with random values drawn uniformly from the indexable collection ``coll``.
+   Populate the array A with random values drawn uniformly from the range ``r``.
 
 .. function:: randbool([dims...])
 

test/random.jl

@@ -29,7 +29,7 @@ rand!(MersenneTwister(0), A)
 @test rand(0:3:1000) in 0:3:1000
 coll = {2, uint128(128), big(619), "string", 'c'}
 @test rand(coll) in coll
-@test issubset(rand!(coll, cell(10)), coll)
+@test issubset(rand(coll, 2, 3), coll)
 
 # randn
 @test randn(MersenneTwister(42)) == -0.5560268761463861