Update rand to 0.7, rand_xorshift to 0.2

There are some method calls which require a mutable reference to the
RNG instance. I chose to create the instance and then immediately create
a reference to it which is then used within this scope.

Author: silwol

Cargo.toml

@@ -30,8 +30,8 @@ default-features = false
 [dev-dependencies]
 docopt = "1"
 lazy_static = "1"
-rand = "0.6"
-rand_xorshift = "0.1"
+rand = "0.7"
+rand_xorshift = "0.2"
 serde = "1"
 serde_derive = "1"
 doc-comment = "0.3"

rayon-core/Cargo.toml

@@ -23,8 +23,8 @@ crossbeam-queue = "0.2"
 crossbeam-utils = "0.7"
 
 [dev-dependencies]
-rand = "0.6"
-rand_xorshift = "0.1"
+rand = "0.7"
+rand_xorshift = "0.2"
 scoped-tls = "1.0"
 
 [target.'cfg(unix)'.dev-dependencies]

rayon-core/src/join/test.rs

@@ -38,7 +38,7 @@ fn seeded_rng() -> XorShiftRng {
 
 #[test]
 fn sort() {
-    let mut rng = seeded_rng();
+    let rng = seeded_rng();
     let mut data: Vec<u32> = rng.sample_iter(&Standard).take(6 * 1024).collect();
     let mut sorted_data = data.clone();
     sorted_data.sort();
@@ -48,7 +48,7 @@ fn sort() {
 
 #[test]
 fn sort_in_pool() {
-    let mut rng = seeded_rng();
+    let rng = seeded_rng();
     let mut data: Vec<u32> = rng.sample_iter(&Standard).take(12 * 1024).collect();
 
     let pool = ThreadPoolBuilder::new().build().unwrap();

rayon-demo/Cargo.toml

@@ -13,8 +13,8 @@ fixedbitset = "0.2.0"
 glium = "0.25.1"
 lazy_static = "1"
 odds = "0.3"
-rand = "0.6"
-rand_xorshift = "0.1"
+rand = "0.7"
+rand_xorshift = "0.2"
 regex = "1"
 serde = "1"
 serde_derive = "1"

rayon-demo/src/find/mod.rs

@@ -10,7 +10,7 @@ macro_rules! make_tests {
 
             lazy_static! {
                 static ref HAYSTACK: Vec<[u32; $n]> = {
-                    let mut rng = crate::seeded_rng();
+                    let rng = crate::seeded_rng();
                     rng.sample_iter(&Standard)
                         .map(|x| {
                             let mut result: [u32; $n] = [0; $n];

rayon-demo/src/mergesort/mod.rs

@@ -217,7 +217,7 @@ pub fn is_sorted<T: Send + Ord>(v: &mut [T]) -> bool {
 }
 
 fn default_vec(n: usize) -> Vec<u32> {
-    let mut rng = crate::seeded_rng();
+    let rng = crate::seeded_rng();
     rng.sample_iter(&Standard).take(n).collect()
 }
 

rayon-demo/src/quicksort/mod.rs

@@ -108,7 +108,7 @@ pub fn is_sorted<T: Send + Ord>(v: &[T]) -> bool {
 }
 
 fn default_vec(n: usize) -> Vec<u32> {
-    let mut rng = crate::seeded_rng();
+    let rng = crate::seeded_rng();
     rng.sample_iter(&Standard).take(n).collect()
 }
 

rayon-demo/src/sort.rs

@@ -15,7 +15,7 @@ fn gen_descending(len: usize) -> Vec<u64> {
 }
 
 fn gen_random(len: usize) -> Vec<u64> {
-    let mut rng = crate::seeded_rng();
+    let rng = crate::seeded_rng();
     rng.sample_iter(&Standard).take(len).collect()
 }
 
@@ -45,6 +45,7 @@ fn gen_mostly_descending(len: usize) -> Vec<u64> {
 
 fn gen_strings(len: usize) -> Vec<String> {
     let mut rng = crate::seeded_rng();
+    let rng = &mut rng;
     let len_dist = Uniform::new(1, 21);
     let mut v = vec![];
     for _ in 0..len {
@@ -55,7 +56,7 @@ fn gen_strings(len: usize) -> Vec<String> {
 }
 
 fn gen_big_random(len: usize) -> Vec<[u64; 16]> {
-    let mut rng = crate::seeded_rng();
+    let rng = crate::seeded_rng();
     rng.sample_iter(&Standard)
         .map(|x| [x; 16])
         .take(len)

src/iter/test.rs

@@ -399,6 +399,7 @@ fn check_cmp_to_seq() {
 #[test]
 fn check_cmp_rng_to_seq() {
     let mut rng = seeded_rng();
+    let rng = &mut rng;
     let a: Vec<i32> = rng.sample_iter(&Standard).take(1024).collect();
     let b: Vec<i32> = rng.sample_iter(&Standard).take(1024).collect();
     for i in 0..a.len() {
@@ -552,6 +553,7 @@ fn check_partial_cmp_to_seq() {
 #[test]
 fn check_partial_cmp_rng_to_seq() {
     let mut rng = seeded_rng();
+    let rng = &mut rng;
     let a: Vec<i32> = rng.sample_iter(&Standard).take(1024).collect();
     let b: Vec<i32> = rng.sample_iter(&Standard).take(1024).collect();
     for i in 0..a.len() {
@@ -1522,7 +1524,7 @@ fn par_iter_unindexed_flat_map() {
 
 #[test]
 fn min_max() {
-    let mut rng = seeded_rng();
+    let rng = seeded_rng();
     let a: Vec<i32> = rng.sample_iter(&Standard).take(1024).collect();
     for i in 0..=a.len() {
         let slice = &a[..i];
@@ -1533,7 +1535,7 @@ fn min_max() {
 
 #[test]
 fn min_max_by() {
-    let mut rng = seeded_rng();
+    let rng = seeded_rng();
     // Make sure there are duplicate keys, for testing sort stability
     let r: Vec<i32> = rng.sample_iter(&Standard).take(512).collect();
     let a: Vec<(i32, u16)> = r.iter().chain(&r).cloned().zip(0..).collect();
@@ -1552,7 +1554,7 @@ fn min_max_by() {
 
 #[test]
 fn min_max_by_key() {
-    let mut rng = seeded_rng();
+    let rng = seeded_rng();
     // Make sure there are duplicate keys, for testing sort stability
     let r: Vec<i32> = rng.sample_iter(&Standard).take(512).collect();
     let a: Vec<(i32, u16)> = r.iter().chain(&r).cloned().zip(0..).collect();

src/slice/quicksort.rs

@@ -767,7 +767,7 @@ mod tests {
 
     #[test]
     fn test_heapsort() {
-        let mut rng = thread_rng();
+        let rng = thread_rng();
 
         for len in (0..25).chain(500..501) {
             for &modulus in &[5, 10, 100] {