From 6d567f0f0f17957ef06ce654d2f824ded540e234 Mon Sep 17 00:00:00 2001
From: Rafael Fourquet <fourquet.rafael@gmail.com>
Date: Wed, 20 May 2020 10:37:19 +0200
Subject: [PATCH] fix legacy usage of RangeGenerator (#576)

---
 src/sampling.jl | 12 ++++++------
 1 file changed, 6 insertions(+), 6 deletions(-)

diff --git a/src/sampling.jl b/src/sampling.jl
index 8af7209235874..1417596f28142 100644
--- a/src/sampling.jl
+++ b/src/sampling.jl
@@ -5,12 +5,12 @@
 #
 ###########################################################
 
-using Random: RangeGenerator, Random.GLOBAL_RNG
+using Random: Sampler, Random.GLOBAL_RNG
 
 ### Algorithms for sampling with replacement
 
 function direct_sample!(rng::AbstractRNG, a::UnitRange, x::AbstractArray)
-    s = RangeGenerator(1:length(a))
+    s = Sampler(rng, 1:length(a))
     b = a[1] - 1
     if b == 0
         for i = 1:length(x)
@@ -34,7 +34,7 @@ and set `x[j] = a[i]`, with `n=length(a)` and `k=length(x)`.
 This algorithm consumes `k` random numbers.
 """
 function direct_sample!(rng::AbstractRNG, a::AbstractArray, x::AbstractArray)
-    s = RangeGenerator(1:length(a))
+    s = Sampler(rng, 1:length(a))
     for i = 1:length(x)
         @inbounds x[i] = a[rand(rng, s)]
     end
@@ -107,7 +107,7 @@ function knuths_sample!(rng::AbstractRNG, a::AbstractArray, x::AbstractArray;
     end
 
     # scan remaining
-    s = RangeGenerator(1:k)
+    s = Sampler(rng, 1:k)
     for i = k+1:n
         if rand(rng) * i < k  # keep it with probability k / i
             @inbounds x[rand(rng, s)] = a[i]
@@ -185,7 +185,7 @@ function self_avoid_sample!(rng::AbstractRNG, a::AbstractArray, x::AbstractArray
 
     s = Set{Int}()
     sizehint!(s, k)
-    rgen = RangeGenerator(1:n)
+    rgen = Sampler(rng, 1:n)
 
     # first one
     idx = rand(rng, rgen)
@@ -618,7 +618,7 @@ function alias_sample!(rng::AbstractRNG, a::AbstractArray, wv::AbstractWeights,
     make_alias_table!(wv, sum(wv), ap, alias)
 
     # sampling
-    s = RangeGenerator(1:n)
+    s = Sampler(rng, 1:n)
     for i = 1:length(x)
         j = rand(rng, s)
         x[i] = rand(rng) < ap[j] ? a[j] : a[alias[j]]