use quickcheck as qc; use rand::{distributions::{Distribution, Standard}, Rng, SeedableRng, rngs::StdRng}; use rand::{seq::SliceRandom, thread_rng}; use std::{cmp::min, fmt::Debug, marker::PhantomData}; use itertools as it; usecrate::it::Itertools; usecrate::it::ExactlyOneError; usecrate::it::multizip; usecrate::it::multipeek; usecrate::it::peek_nth; usecrate::it::free::rciter; usecrate::it::free::put_back_n; usecrate::it::FoldWhile; usecrate::it::cloned; usecrate::it::iproduct; usecrate::it::izip;
#[test] fn product3() { let prod = iproduct!(0..3, 0..2, 0..2);
assert_eq!(prod.size_hint(), (12, Some(12))); let v = prod.collect_vec(); for i in0..3 { for j in0..2 { for k in0..2 {
assert!((i, j, k) == v[(i * 2 * 2 + j * 2 + k) as usize]);
}
}
} for (_, _, _, _) in iproduct!(0..3, 0..2, 0..2, 0..3) { /* test compiles */
}
}
#[test] fn interleave_shortest() { let v0: Vec<i32> = vec![0, 2, 4]; let v1: Vec<i32> = vec![1, 3, 5, 7]; let it = v0.into_iter().interleave_shortest(v1.into_iter());
assert_eq!(it.size_hint(), (6, Some(6)));
assert_eq!(it.collect_vec(), vec![0, 1, 2, 3, 4, 5]);
let v0: Vec<i32> = vec![0, 2, 4, 6, 8]; let v1: Vec<i32> = vec![1, 3, 5]; let it = v0.into_iter().interleave_shortest(v1.into_iter());
assert_eq!(it.size_hint(), (7, Some(7)));
assert_eq!(it.collect_vec(), vec![0, 1, 2, 3, 4, 5, 6]);
let i0 = ::std::iter::repeat(0); let v1: Vec<_> = vec![1, 3, 5]; let it = i0.interleave_shortest(v1.into_iter());
assert_eq!(it.size_hint(), (7, Some(7)));
let v0: Vec<_> = vec![0, 2, 4]; let i1 = ::std::iter::repeat(1); let it = v0.into_iter().interleave_shortest(i1);
assert_eq!(it.size_hint(), (6, Some(6)));
}
let v = (0..5).sorted_by(|&a, &b| a.cmp(&b).reverse());
it::assert_equal(v, vec![4, 3, 2, 1, 0]);
}
qc::quickcheck! { fn k_smallest_range(n: u64, m: u16, k: u16) -> () { // u16 is used to constrain k and m to 0..2¹⁶, // otherwise the test could use too much memory. let (k, m) = (k as u64, m as u64);
// Generate a random permutation of n..n+m let i = { letmut v: Vec<u64> = (n..n.saturating_add(m)).collect();
v.shuffle(&mut thread_rng());
v.into_iter()
};
// Check that taking the k smallest elements yields n..n+min(k, m)
it::assert_equal(
i.k_smallest(k as usize),
n..n.saturating_add(min(k, m))
);
}
}
// Check that taking the k smallest is the same as // sorting then taking the k first elements fn k_smallest_sort<I>(i: I, k: u16) where
I: Iterator + Clone,
I::Item: Ord + Debug,
{ let j = i.clone(); let k = k as usize;
it::assert_equal(
i.k_smallest(k),
j.sorted().take(k)
)
}
let v = (0..5).sorted_by_key(|&x| -x);
it::assert_equal(v, vec![4, 3, 2, 1, 0]);
}
#[test] fn sorted_by_cached_key() { // Track calls to key function letmut ncalls = 0;
let sorted = [3, 4, 1, 2].iter().cloned().sorted_by_cached_key(|&x| {
ncalls += 1;
x.to_string()
});
it::assert_equal(sorted, vec![1, 2, 3, 4]); // Check key function called once per element
assert_eq!(ncalls, 4);
letmut ncalls = 0;
let sorted = (0..5).sorted_by_cached_key(|&x| {
ncalls += 1;
-x
});
it::assert_equal(sorted, vec![4, 3, 2, 1, 0]); // Check key function called once per element
assert_eq!(ncalls, 5);
}
#[test] fn test_multipeek() { let nums = vec![1u8,2,3,4,5];
let mp = multipeek(nums.iter().copied());
assert_eq!(nums, mp.collect::<Vec<_>>());
let v: Vec<usize> = vec![0, 1, 2]; let r = v.into_iter().pad_using(5, |n| n);
it::assert_equal(r, vec![0, 1, 2, 3, 4]);
let v: Vec<usize> = vec![0, 1, 2]; let r = v.into_iter().pad_using(1, |_| panic!());
it::assert_equal(r, vec![0, 1, 2]);
}
#[test] fn group_by() { for (ch1, sub) in &"AABBCCC".chars().group_by(|&x| x) { for ch2 in sub {
assert_eq!(ch1, ch2);
}
}
for (ch1, sub) in &"AAABBBCCCCDDDD".chars().group_by(|&x| x) { for ch2 in sub {
assert_eq!(ch1, ch2); if ch1 == 'C' { break;
}
}
}
let toupper = |ch: &char| ch.to_uppercase().next().unwrap();
// try all possible orderings for indices in permutohedron::Heap::new(&mut [0, 1, 2, 3]) { let groups = "AaaBbbccCcDDDD".chars().group_by(&toupper); letmut subs = groups.into_iter().collect_vec();
for &idx in &indices[..] { let (key, text) = match idx { 0 => ('A', "Aaa".chars()), 1 => ('B', "Bbb".chars()), 2 => ('C', "ccCc".chars()), 3 => ('D', "DDDD".chars()),
_ => unreachable!(),
};
assert_eq!(key, subs[idx].0);
it::assert_equal(&mut subs[idx].1, text);
}
}
let groups = "AAABBBCCCCDDDD".chars().group_by(|&x| x); letmut subs = groups.into_iter().map(|(_, g)| g).collect_vec();
let sd = subs.pop().unwrap(); let sc = subs.pop().unwrap(); let sb = subs.pop().unwrap(); let sa = subs.pop().unwrap(); for (a, b, c, d) in multizip((sa, sb, sc, sd)) {
assert_eq!(a, 'A');
assert_eq!(b, 'B');
assert_eq!(c, 'C');
assert_eq!(d, 'D');
}
// check that the key closure is called exactly n times
{ letmut ntimes = 0; let text = "AABCCC"; for (_, sub) in &text.chars().group_by(|&x| { ntimes += 1; x}) { for _ in sub {
}
}
assert_eq!(ntimes, text.len());
}
{ letmut ntimes = 0; let text = "AABCCC"; for _ in &text.chars().group_by(|&x| { ntimes += 1; x}) {
}
assert_eq!(ntimes, text.len());
}
{ let text = "ABCCCDEEFGHIJJKK"; let gr = text.chars().group_by(|&x| x);
it::assert_equal(gr.into_iter().flat_map(|(_, sub)| sub), text.chars());
}
}
#[test] fn group_by_lazy_2() { let data = vec![0, 1]; let groups = data.iter().group_by(|k| *k); let gs = groups.into_iter().collect_vec();
it::assert_equal(data.iter(), gs.into_iter().flat_map(|(_k, g)| g));
let data = vec![0, 1, 1, 0, 0]; let groups = data.iter().group_by(|k| *k); letmut gs = groups.into_iter().collect_vec();
gs[1..].reverse();
it::assert_equal(&[0, 0, 0, 1, 1], gs.into_iter().flat_map(|(_, g)| g));
let grouper = data.iter().group_by(|k| *k); letmut groups = Vec::new(); for (k, group) in &grouper { if *k == 1 {
groups.push(group);
}
}
it::assert_equal(&mut groups[0], &[1, 1]);
let data = vec![0, 0, 0, 1, 1, 0, 0, 2, 2, 3, 3]; let grouper = data.iter().group_by(|k| *k); letmut groups = Vec::new(); for (i, (_, group)) in grouper.into_iter().enumerate() { if i < 2 {
groups.push(group);
} elseif i < 4 { for _ in group {
}
} else {
groups.push(group);
}
}
it::assert_equal(&mut groups[0], &[0, 0, 0]);
it::assert_equal(&mut groups[1], &[1, 1]);
it::assert_equal(&mut groups[2], &[3, 3]);
// use groups as chunks let data = vec![0, 0, 0, 1, 1, 0, 0, 2, 2, 3, 3]; letmut i = 0; let grouper = data.iter().group_by(move |_| { let k = i / 3; i += 1; k }); for (i, group) in &grouper { match i { 0 => it::assert_equal(group, &[0, 0, 0]), 1 => it::assert_equal(group, &[1, 1, 0]), 2 => it::assert_equal(group, &[0, 2, 2]), 3 => it::assert_equal(group, &[3, 3]),
_ => unreachable!(),
}
}
}
#[test] fn group_by_lazy_3() { // test consuming each group on the lap after it was produced let data = vec![0, 0, 0, 1, 1, 0, 0, 1, 1, 2, 2]; let grouper = data.iter().group_by(|elt| *elt); letmut last = None; for (key, group) in &grouper { iflet Some(gr) = last.take() { for elt in gr {
assert!(elt != key && i32::abs(elt - key) == 1);
}
}
last = Some(group);
}
}
#[test] fn chunks() { let data = vec![0, 0, 0, 1, 1, 0, 0, 2, 2, 3, 3]; let grouper = data.iter().chunks(3); for (i, chunk) in grouper.into_iter().enumerate() { match i { 0 => it::assert_equal(chunk, &[0, 0, 0]), 1 => it::assert_equal(chunk, &[1, 1, 0]), 2 => it::assert_equal(chunk, &[0, 2, 2]), 3 => it::assert_equal(chunk, &[3, 3]),
_ => unreachable!(),
}
}
}
#[test] fn diff_mismatch() { let a = vec![1, 2, 3, 4]; let b = vec![1.0, 5.0, 3.0, 4.0]; let b_map = b.into_iter().map(|f| f as i32); let diff = it::diff_with(a.iter(), b_map, |a, b| *a == b);
#[test] fn diff_longer() { let a = vec![1, 2, 3, 4]; let b = vec![1.0, 2.0, 3.0, 4.0, 5.0, 6.0]; let b_map = b.into_iter().map(|f| f as i32); let diff = it::diff_with(a.iter(), b_map, |a, b| *a == b);
#[test] fn diff_shorter() { let a = vec![1, 2, 3, 4]; let b = vec![1.0, 2.0]; let b_map = b.into_iter().map(|f| f as i32); let diff = it::diff_with(a.iter(), b_map, |a, b| *a == b);
#[test] fn extrema_set() { use std::cmp::Ordering;
// A peculiar type: Equality compares both tuple items, but ordering only the // first item. Used to distinguish equal elements. #[derive(Clone, Debug, PartialEq, Eq)] struct Val(u32, u32);
impl PartialOrd<Val> for Val { fn partial_cmp(&self, other: &Val) -> Option<Ordering> { self.0.partial_cmp(&other.0)
}
}
impl Ord for Val { fn cmp(&self, other: &Val) -> Ordering { self.0.cmp(&other.0)
}
}
let max_set = data.iter().max_set();
assert_eq!(max_set, vec![&Val(2, 0), &Val(>2, 1)]);
let max_set_by_key = data.iter().max_set_by_key(|v| v.1);
assert_eq!(max_set_by_key, vec![&Val(0, 2)]);
let max_set_by = data.iter().max_set_by(|x, y| x.1.cmp(&y.1));
assert_eq!(max_set_by, vec![&Val(0, 2)]);
}
#[test] fn minmax() { use std::cmp::Ordering; usecrate::it::MinMaxResult;
// A peculiar type: Equality compares both tuple items, but ordering only the // first item. This is so we can check the stability property easily. #[derive(Clone, Debug, PartialEq, Eq)] struct Val(u32, u32);
impl PartialOrd<Val> for Val { fn partial_cmp(&self, other: &Val) -> Option<Ordering> { self.0.partial_cmp(&other.0)
}
}
impl Ord for Val { fn cmp(&self, other: &Val) -> Ordering { self.0.cmp(&other.0)
}
}
#[test] fn tree_fold1() { let x = [ "", "0", "0 1 x", "0 1 x 2 x", "0 1 x 2 3 x x", "0 1 x 2 3 x x 4 x", "0 1 x 2 3 x x 4 5 x x", "0 1 x 2 3 x x 4 5 x 6 x x", "0 1 x 2 3 x x 4 5 x 6 7 x x x", "0 1 x 2 3 x x 4 5 x 6 7 x x x 8 x", "0 1 x 2 3 x x 4 5 x 6 7 x x x 8 9 x x", "0 1 x 2 3 x x 4 5 x 6 7 x x x 8 9 x 10 x x", "0 1 x 2 3 x x 4 5 x 6 7 x x x 8 9 x 10 11 x x x", "0 1 x 2 3 x x 4 5 x 6 7 x x x 8 9 x 10 11 x x 12 x x", "0 1 x 2 3 x x 4 5 x 6 7 x x x 8 9 x 10 11 x x 12 13 x x x", "0 1 x 2 3 x x 4 5 x 6 7 x x x 8 9 x 10 11 x x 12 13 x 14 x x x", "0 1 x 2 3 x x 4 5 x 6 7 x x x 8 9 x 10 11 x x 12 13 x 14 15 x x x x",
]; for (i, &s) in x.iter().enumerate() { let expected = if s.is_empty() { None } else { Some(s.to_string()) }; let num_strings = (0..i).map(|x| x.to_string()); let actual = num_strings.tree_fold1(|a, b| format!("{} {} x", a, b));
assert_eq!(actual, expected);
}
}
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