Run ./x fmt --all

Author: ChaiTRex

library/core/benches/num/int_sqrt/mod.rs

@@ -19,9 +19,8 @@ macro_rules! int_sqrt_bench {
         fn $random(bench: &mut Bencher) {
             let mut rng = crate::bench_rng();
             /* Exponentially distributed random numbers from the whole range of the type.  */
-            let numbers: Vec<$t> = (0..256)
-                .map(|_| rng.gen::<$t>() >> rng.gen_range(0..<$t>::BITS))
-                .collect();
+            let numbers: Vec<$t> =
+                (0..256).map(|_| rng.gen::<$t>() >> rng.gen_range(0..<$t>::BITS)).collect();
             bench.iter(|| {
                 for x in &numbers {
                     black_box(black_box(x).isqrt());
@@ -33,9 +32,8 @@ macro_rules! int_sqrt_bench {
         fn $random_small(bench: &mut Bencher) {
             let mut rng = crate::bench_rng();
             /* Exponentially distributed random numbers from the range 0..256.  */
-            let numbers: Vec<$t> = (0..256)
-                .map(|_| (rng.gen::<u8>() >> rng.gen_range(0..u8::BITS)) as $t)
-                .collect();
+            let numbers: Vec<$t> =
+                (0..256).map(|_| (rng.gen::<u8>() >> rng.gen_range(0..u8::BITS)) as $t).collect();
             bench.iter(|| {
                 for x in &numbers {
                     black_box(black_box(x).isqrt());
@@ -47,9 +45,7 @@ macro_rules! int_sqrt_bench {
         fn $random_uniform(bench: &mut Bencher) {
             let mut rng = crate::bench_rng();
             /* Exponentially distributed random numbers from the whole range of the type.  */
-            let numbers: Vec<$t> = (0..256)
-                .map(|_| rng.gen::<$t>())
-                .collect();
+            let numbers: Vec<$t> = (0..256).map(|_| rng.gen::<$t>()).collect();
             bench.iter(|| {
                 for x in &numbers {
                     black_box(black_box(x).isqrt());