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Improve sort tests and benchmarks
This commit is contained in:
parent
7e76505e01
commit
12205f1450
@ -17,6 +17,7 @@
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#![feature(sort_unstable)]
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#![feature(test)]
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extern crate rand;
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extern crate test;
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mod btree;
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@ -8,9 +8,11 @@
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// option. This file may not be copied, modified, or distributed
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// except according to those terms.
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use std::{mem, ptr};
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use std::__rand::{Rng, thread_rng};
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use std::__rand::{thread_rng};
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use std::mem;
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use std::ptr;
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use rand::{Rng, SeedableRng, XorShiftRng};
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use test::{Bencher, black_box};
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#[bench]
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@ -191,17 +193,17 @@ fn gen_descending(len: usize) -> Vec<u64> {
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}
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fn gen_random(len: usize) -> Vec<u64> {
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let mut rng = thread_rng();
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let mut rng = XorShiftRng::from_seed([0, 1, 2, 3]);
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rng.gen_iter::<u64>().take(len).collect()
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}
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fn gen_random_bytes(len: usize) -> Vec<u8> {
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let mut rng = thread_rng();
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let mut rng = XorShiftRng::from_seed([0, 1, 2, 3]);
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rng.gen_iter::<u8>().take(len).collect()
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}
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fn gen_mostly_ascending(len: usize) -> Vec<u64> {
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let mut rng = thread_rng();
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let mut rng = XorShiftRng::from_seed([0, 1, 2, 3]);
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let mut v = gen_ascending(len);
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for _ in (0usize..).take_while(|x| x * x <= len) {
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let x = rng.gen::<usize>() % len;
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@ -212,7 +214,7 @@ fn gen_mostly_ascending(len: usize) -> Vec<u64> {
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}
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fn gen_mostly_descending(len: usize) -> Vec<u64> {
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let mut rng = thread_rng();
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let mut rng = XorShiftRng::from_seed([0, 1, 2, 3]);
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let mut v = gen_descending(len);
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for _ in (0usize..).take_while(|x| x * x <= len) {
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let x = rng.gen::<usize>() % len;
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@ -223,7 +225,7 @@ fn gen_mostly_descending(len: usize) -> Vec<u64> {
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}
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fn gen_strings(len: usize) -> Vec<String> {
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let mut rng = thread_rng();
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let mut rng = XorShiftRng::from_seed([0, 1, 2, 3]);
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let mut v = vec![];
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for _ in 0..len {
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let n = rng.gen::<usize>() % 20 + 1;
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@ -233,7 +235,7 @@ fn gen_strings(len: usize) -> Vec<String> {
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}
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fn gen_big_random(len: usize) -> Vec<[u64; 16]> {
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let mut rng = thread_rng();
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let mut rng = XorShiftRng::from_seed([0, 1, 2, 3]);
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rng.gen_iter().map(|x| [x; 16]).take(len).collect()
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}
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@ -241,18 +243,32 @@ macro_rules! sort {
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($f:ident, $name:ident, $gen:expr, $len:expr) => {
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#[bench]
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fn $name(b: &mut Bencher) {
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b.iter(|| $gen($len).$f());
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let v = $gen($len);
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b.iter(|| v.clone().$f());
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b.bytes = $len * mem::size_of_val(&$gen(1)[0]) as u64;
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}
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}
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}
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macro_rules! sort_strings {
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($f:ident, $name:ident, $gen:expr, $len:expr) => {
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#[bench]
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fn $name(b: &mut Bencher) {
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let v = $gen($len);
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let v = v.iter().map(|s| &**s).collect::<Vec<&str>>();
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b.iter(|| v.clone().$f());
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b.bytes = $len * mem::size_of::<&str>() as u64;
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}
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}
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}
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macro_rules! sort_expensive {
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($f:ident, $name:ident, $gen:expr, $len:expr) => {
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#[bench]
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fn $name(b: &mut Bencher) {
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let v = $gen($len);
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b.iter(|| {
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let mut v = $gen($len);
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let mut v = v.clone();
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let mut count = 0;
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v.$f(|a: &u64, b: &u64| {
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count += 1;
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@ -263,7 +279,7 @@ macro_rules! sort_expensive {
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});
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black_box(count);
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});
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b.bytes = $len as u64 * mem::size_of::<u64>() as u64;
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b.bytes = $len * mem::size_of_val(&$gen(1)[0]) as u64;
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}
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}
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}
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@ -271,30 +287,30 @@ macro_rules! sort_expensive {
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sort!(sort, sort_small_ascending, gen_ascending, 10);
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sort!(sort, sort_small_descending, gen_descending, 10);
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sort!(sort, sort_small_random, gen_random, 10);
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sort!(sort, sort_small_big_random, gen_big_random, 10);
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sort!(sort, sort_small_big, gen_big_random, 10);
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sort!(sort, sort_medium_random, gen_random, 100);
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sort!(sort, sort_large_ascending, gen_ascending, 10000);
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sort!(sort, sort_large_descending, gen_descending, 10000);
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sort!(sort, sort_large_mostly_ascending, gen_mostly_ascending, 10000);
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sort!(sort, sort_large_mostly_descending, gen_mostly_descending, 10000);
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sort!(sort, sort_large_random, gen_random, 10000);
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sort!(sort, sort_large_big_random, gen_big_random, 10000);
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sort!(sort, sort_large_strings, gen_strings, 10000);
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sort_expensive!(sort_by, sort_large_random_expensive, gen_random, 10000);
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sort!(sort, sort_large_big, gen_big_random, 10000);
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sort_strings!(sort, sort_large_strings, gen_strings, 10000);
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sort_expensive!(sort_by, sort_large_expensive, gen_random, 10000);
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sort!(sort_unstable, sort_unstable_small_ascending, gen_ascending, 10);
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sort!(sort_unstable, sort_unstable_small_descending, gen_descending, 10);
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sort!(sort_unstable, sort_unstable_small_random, gen_random, 10);
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sort!(sort_unstable, sort_unstable_small_big_random, gen_big_random, 10);
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sort!(sort_unstable, sort_unstable_small_big, gen_big_random, 10);
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sort!(sort_unstable, sort_unstable_medium_random, gen_random, 100);
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sort!(sort_unstable, sort_unstable_large_ascending, gen_ascending, 10000);
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sort!(sort_unstable, sort_unstable_large_descending, gen_descending, 10000);
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sort!(sort_unstable, sort_unstable_large_mostly_ascending, gen_mostly_ascending, 10000);
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sort!(sort_unstable, sort_unstable_large_mostly_descending, gen_mostly_descending, 10000);
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sort!(sort_unstable, sort_unstable_large_random, gen_random, 10000);
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sort!(sort_unstable, sort_unstable_large_big_random, gen_big_random, 10000);
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sort!(sort_unstable, sort_unstable_large_strings, gen_strings, 10000);
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sort_expensive!(sort_unstable_by, sort_unstable_large_random_expensive, gen_random, 10000);
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sort!(sort_unstable, sort_unstable_large_big, gen_big_random, 10000);
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sort_strings!(sort_unstable, sort_unstable_large_strings, gen_strings, 10000);
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sort_expensive!(sort_unstable_by, sort_unstable_large_expensive, gen_random, 10000);
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macro_rules! reverse {
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($name:ident, $ty:ty, $f:expr) => {
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@ -1794,7 +1794,7 @@ unsafe fn merge<T, F>(v: &mut [T], mid: usize, buf: *mut T, is_less: &mut F)
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impl<T> Drop for MergeHole<T> {
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fn drop(&mut self) {
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// `T` is not a zero-sized type, so it's okay to divide by it's size.
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// `T` is not a zero-sized type, so it's okay to divide by its size.
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let len = (self.end as usize - self.start as usize) / mem::size_of::<T>();
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unsafe { ptr::copy_nonoverlapping(self.start, self.dest, len); }
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}
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@ -1908,7 +1908,7 @@ fn merge_sort<T, F>(v: &mut [T], mut is_less: F)
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// if `Some(r)` is returned, that means `runs[r]` and `runs[r + 1]` must be merged next. If the
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// algorithm should continue building a new run instead, `None` is returned.
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//
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// TimSort is infamous for it's buggy implementations, as described here:
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// TimSort is infamous for its buggy implementations, as described here:
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// http://envisage-project.eu/timsort-specification-and-verification/
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//
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// The gist of the story is: we must enforce the invariants on the top four runs on the stack.
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@ -396,18 +396,44 @@ fn test_sort() {
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let mut rng = thread_rng();
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for len in (2..25).chain(500..510) {
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for _ in 0..100 {
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let mut v: Vec<_> = rng.gen_iter::<i32>().take(len).collect();
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let mut v1 = v.clone();
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for &modulus in &[5, 10, 100, 1000] {
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for _ in 0..10 {
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let orig: Vec<_> = rng.gen_iter::<i32>()
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.map(|x| x % modulus)
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.take(len)
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.collect();
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v.sort();
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assert!(v.windows(2).all(|w| w[0] <= w[1]));
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// Sort in default order.
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let mut v = orig.clone();
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v.sort();
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assert!(v.windows(2).all(|w| w[0] <= w[1]));
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v1.sort_by(|a, b| a.cmp(b));
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assert!(v1.windows(2).all(|w| w[0] <= w[1]));
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// Sort in ascending order.
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let mut v = orig.clone();
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v.sort_by(|a, b| a.cmp(b));
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assert!(v.windows(2).all(|w| w[0] <= w[1]));
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v1.sort_by(|a, b| b.cmp(a));
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assert!(v1.windows(2).all(|w| w[0] >= w[1]));
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// Sort in descending order.
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let mut v = orig.clone();
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v.sort_by(|a, b| b.cmp(a));
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assert!(v.windows(2).all(|w| w[0] >= w[1]));
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// Sort with many pre-sorted runs.
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let mut v = orig.clone();
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v.sort();
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v.reverse();
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for _ in 0..5 {
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let a = rng.gen::<usize>() % len;
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let b = rng.gen::<usize>() % len;
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if a < b {
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v[a..b].reverse();
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} else {
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v.swap(a, b);
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}
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}
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v.sort();
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assert!(v.windows(2).all(|w| w[0] <= w[1]));
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}
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}
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}
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@ -10,14 +10,17 @@
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// ignore-emscripten no threads support
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#![feature(rand)]
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#![feature(const_fn)]
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#![feature(rand)]
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#![feature(sort_unstable)]
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use std::__rand::{thread_rng, Rng};
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use std::panic;
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use std::sync::atomic::{AtomicUsize, Ordering};
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use std::thread;
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use std::cell::Cell;
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use std::cmp::Ordering;
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use std::panic;
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use std::sync::atomic::{ATOMIC_USIZE_INIT, AtomicUsize};
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use std::sync::atomic::Ordering::Relaxed;
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use std::thread;
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const MAX_LEN: usize = 80;
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@ -45,54 +48,85 @@ static DROP_COUNTS: [AtomicUsize; MAX_LEN] = [
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AtomicUsize::new(0), AtomicUsize::new(0), AtomicUsize::new(0), AtomicUsize::new(0),
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];
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#[derive(Clone, PartialEq, PartialOrd, Eq, Ord)]
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static VERSIONS: AtomicUsize = ATOMIC_USIZE_INIT;
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#[derive(Clone, Eq)]
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struct DropCounter {
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x: u32,
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id: usize,
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version: Cell<usize>,
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}
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impl PartialEq for DropCounter {
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fn eq(&self, other: &Self) -> bool {
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self.partial_cmp(other) == Some(Ordering::Equal)
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}
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}
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impl PartialOrd for DropCounter {
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fn partial_cmp(&self, other: &Self) -> Option<Ordering> {
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self.version.set(self.version.get() + 1);
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other.version.set(other.version.get() + 1);
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VERSIONS.fetch_add(2, Relaxed);
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self.x.partial_cmp(&other.x)
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}
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}
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impl Ord for DropCounter {
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fn cmp(&self, other: &Self) -> Ordering {
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self.partial_cmp(other).unwrap()
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}
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}
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impl Drop for DropCounter {
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fn drop(&mut self) {
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DROP_COUNTS[self.id].fetch_add(1, Ordering::Relaxed);
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DROP_COUNTS[self.id].fetch_add(1, Relaxed);
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VERSIONS.fetch_sub(self.version.get(), Relaxed);
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}
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}
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fn test(input: &[DropCounter]) {
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let len = input.len();
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macro_rules! test {
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($input:ident, $func:ident) => {
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let len = $input.len();
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// Work out the total number of comparisons required to sort
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// this array...
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let mut count = 0usize;
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input.to_owned().sort_by(|a, b| { count += 1; a.cmp(b) });
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// Work out the total number of comparisons required to sort
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// this array...
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let mut count = 0usize;
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$input.to_owned().$func(|a, b| { count += 1; a.cmp(b) });
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// ... and then panic on each and every single one.
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for panic_countdown in 0..count {
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// Refresh the counters.
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for i in 0..len {
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DROP_COUNTS[i].store(0, Ordering::Relaxed);
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}
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// ... and then panic on each and every single one.
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for panic_countdown in 0..count {
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// Refresh the counters.
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VERSIONS.store(0, Relaxed);
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for i in 0..len {
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DROP_COUNTS[i].store(0, Relaxed);
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}
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let v = input.to_owned();
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let _ = thread::spawn(move || {
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let mut v = v;
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let mut panic_countdown = panic_countdown;
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v.sort_by(|a, b| {
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if panic_countdown == 0 {
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SILENCE_PANIC.with(|s| s.set(true));
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panic!();
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}
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panic_countdown -= 1;
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a.cmp(b)
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})
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}).join();
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let v = $input.to_owned();
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let _ = thread::spawn(move || {
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let mut v = v;
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let mut panic_countdown = panic_countdown;
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v.$func(|a, b| {
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if panic_countdown == 0 {
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SILENCE_PANIC.with(|s| s.set(true));
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panic!();
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}
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panic_countdown -= 1;
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a.cmp(b)
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})
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}).join();
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// Check that the number of things dropped is exactly
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// what we expect (i.e. the contents of `v`).
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for (i, c) in DROP_COUNTS.iter().enumerate().take(len) {
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let count = c.load(Ordering::Relaxed);
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assert!(count == 1,
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"found drop count == {} for i == {}, len == {}",
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count, i, len);
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// Check that the number of things dropped is exactly
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// what we expect (i.e. the contents of `v`).
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for (i, c) in DROP_COUNTS.iter().enumerate().take(len) {
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let count = c.load(Relaxed);
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assert!(count == 1,
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"found drop count == {} for i == {}, len == {}",
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count, i, len);
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}
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// Check that the most recent versions of values were dropped.
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assert_eq!(VERSIONS.load(Relaxed), 0);
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}
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}
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}
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@ -106,33 +140,40 @@ fn main() {
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prev(info);
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}
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}));
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for len in (1..20).chain(70..MAX_LEN) {
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// Test on a random array.
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let mut rng = thread_rng();
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let input = (0..len).map(|id| {
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DropCounter {
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x: rng.next_u32(),
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id: id,
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}
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}).collect::<Vec<_>>();
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test(&input);
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for &modulus in &[5, 20, 50] {
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for &has_runs in &[false, true] {
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let mut rng = thread_rng();
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let mut input = (0..len)
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.map(|id| {
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DropCounter {
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x: rng.next_u32() % modulus,
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id: id,
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version: Cell::new(0),
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}
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})
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.collect::<Vec<_>>();
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// Test on a sorted array with two elements randomly swapped, creating several natural
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// runs of random lengths. Such arrays have very high chances of hitting all code paths in
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// the merge procedure.
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for _ in 0..5 {
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let mut input = (0..len).map(|i|
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DropCounter {
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x: i as u32,
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id: i,
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if has_runs {
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for c in &mut input {
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c.x = c.id as u32;
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}
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for _ in 0..5 {
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let a = rng.gen::<usize>() % len;
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let b = rng.gen::<usize>() % len;
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if a < b {
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input[a..b].reverse();
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} else {
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input.swap(a, b);
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}
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}
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}
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).collect::<Vec<_>>();
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let a = rng.gen::<usize>() % len;
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let b = rng.gen::<usize>() % len;
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input.swap(a, b);
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test(&input);
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test!(input, sort_by);
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test!(input, sort_unstable_by);
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}
|
||||
}
|
||||
}
|
||||
}
|
||||
|
Loading…
Reference in New Issue
Block a user