Rust

166. Entry::and_modify — Update If Present, Insert If Not, in One Chain

*map.entry(k).or_insert(0) += 1 is the classic Rust counter. The moment the “first time” branch needs to look different from the “next time” branch, that pattern stops fitting — and and_modify slots in.

HashMap::entry(k) returns an Entry enum pointing at the slot for k, occupied or vacant. The famous methods are or_insert(default) and or_insert_with(|| ...). Quieter but often nicer is and_modify: it runs a closure on the value when the key is already there, and does nothing when it isn’t. Chain it with or_insert and you get update if present, insert if not in one expression — with a single lookup.

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use std::collections::HashMap;

let mut counts: HashMap<&str, u32> = HashMap::new();

for word in ["rust", "iron", "rust", "rust", "iron"] {
    counts
        .entry(word)
        .and_modify(|n| *n += 1)
        .or_insert(1);
}

assert_eq!(counts["rust"], 3);
assert_eq!(counts["iron"], 2);

For pure counters that’s a tie with *entry.or_insert(0) += 1. The shape really pays off when the two branches store different data. Imagine grouping events by user, where the first event records the user’s name and later events only bump a counter:

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use std::collections::HashMap;

#[derive(Debug, PartialEq)]
struct UserStats { name: String, visits: u32 }

let events = [(1u32, "alice"), (2, "bob"), (1, "alice")];
let mut stats: HashMap<u32, UserStats> = HashMap::new();

for (id, name) in events {
    stats
        .entry(id)
        .and_modify(|s| s.visits += 1)
        .or_insert(UserStats { name: name.into(), visits: 1 });
}

assert_eq!(stats[&1], UserStats { name: "alice".into(), visits: 2 });
assert_eq!(stats[&2], UserStats { name: "bob".into(),   visits: 1 });

and_modify takes &mut V so you mutate in place; or_insert produces the initial V. and_modify also returns the Entry back, which is why the chain works — and which means you can stack several modifications before the final or_insert.

165. PhantomData<T> — The Zero-Sized Marker That Pretends to Own a T

You write a generic struct, never actually store a T in any field, and the compiler stops you with “parameter T is never used”. PhantomData<T> is the zero-cost lie that fixes it — a marker that occupies no bytes but tells the compiler “act as if I own a T.”

The problem shows up the moment you build a typed handle around something that isn’t a T:

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// Won't compile: T isn't actually stored anywhere.
struct TypedId<T> {
    raw: u64,
}

rustc rejects this because an unused type parameter is almost always a bug — variance, drop checking, and Send/Sync all depend on what a struct claims to own. std::marker::PhantomData<T> is the escape hatch: a zero-sized struct that pretends the type parameter is used:

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use std::marker::PhantomData;

struct TypedId<T> {
    raw: u64,
    _marker: PhantomData<T>,
}

impl<T> TypedId<T> {
    fn new(raw: u64) -> Self {
        Self { raw, _marker: PhantomData }
    }
}

struct User;
struct Order;

let u: TypedId<User>  = TypedId::new(1);
let o: TypedId<Order> = TypedId::new(1);

// Same raw value, different types — the compiler refuses to mix them.
// let _: TypedId<User> = o; // error: expected TypedId<User>, found TypedId<Order>

assert_eq!(std::mem::size_of::<TypedId<User>>(), 8); // still just the u64

The _marker field disappears at runtime — size_of::<TypedId<User>>() is exactly size_of::<u64>(). But at compile time, TypedId<User> and TypedId<Order> are distinct types you can’t accidentally swap.

The same pattern fixes lifetimes too. FFI wrappers borrow from a buffer they don’t physically point into:

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use std::marker::PhantomData;

struct CursorHandle<'a> {
    raw_ptr: *const u8,
    _borrow: PhantomData<&'a [u8]>,
}

impl<'a> CursorHandle<'a> {
    fn new(buf: &'a [u8]) -> Self {
        Self { raw_ptr: buf.as_ptr(), _borrow: PhantomData }
    }
}

let buf = vec![1u8, 2, 3];
let cursor = CursorHandle::new(&buf);
// drop(buf); // compile error — cursor still borrows it, thanks to PhantomData
let _ = cursor;

Without the PhantomData<&'a [u8]>, the 'a would be unused and the compiler wouldn’t enforce that buf outlives cursor. With it, the borrow checker treats CursorHandle<'a> as if it held a real &'a [u8].

Three flavors of PhantomData you’ll see in the wild — pick by what you want the compiler to believe:

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use std::marker::PhantomData;

// 1. Owns a T (covariant, drops a T): PhantomData<T>
struct Owns<T>(PhantomData<T>);

// 2. Borrows a T (no drop): PhantomData<&'a T>
struct Borrows<'a, T>(PhantomData<&'a T>);

// 3. Neither Send nor Sync: PhantomData<*const ()>
struct NotThreadSafe(PhantomData<*const ()>);

fn assert_send<T: Send>() {}
// assert_send::<NotThreadSafe>(); // would fail — raw ptr makes it !Send

assert_eq!(std::mem::size_of::<Owns<u64>>(), 0);
assert_eq!(std::mem::size_of::<Borrows<'_, u64>>(), 0);
assert_eq!(std::mem::size_of::<NotThreadSafe>(), 0);

That last one is the cheap way to opt a type out of Send/Sync without unsafeRc<T> uses exactly this trick internally to stay single-threaded.

PhantomData is the bookkeeping behind almost every wrapper type you’ve used. Cell, Cow, Pin, Rc, and NonNull all carry one — it’s how they tell the compiler what they conceptually own without paying for it at runtime.

164. Pin projection — How to actually use the fields behind Pin<&mut Self>

The moment you hand-roll Future::poll, you have a Pin<&mut Self> and a question Rust won’t answer for you: how do I touch my fields? self.inner doesn’t compile, &mut self.inner is what Pin exists to prevent, and the answer — pin projection — is one of those idioms everyone reinvents until they reach for pin-project-lite.

bite-162 covered what Pin<P> is and why async futures need it. This one is about the very next thing you trip over: actually polling the inner future from your own poll method.

The problem

A wrapper that polls an inner future and counts how many times it was polled:

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struct Logged<F> {
    inner: F,
    polls: u32,
}

impl<F: Future> Future for Logged<F> {
    type Output = F::Output;
    fn poll(self: Pin<&mut Self>, cx: &mut Context<'_>) -> Poll<Self::Output> {
        self.inner.poll(cx) // ERROR: can't borrow through Pin<&mut Self>
    }
}

Pin<&mut Self> deliberately won’t deref-mut into &mut Self — that would hand back the exact &mut you need to mem::swap the whole struct out from under whatever pinned it. So self.inner is a non-starter. You have to project: turn a Pin<&mut Self> into a Pin<&mut F> pointing at the inner field.

Manual projection with unsafe

The raw tools are Pin::get_unchecked_mut and Pin::new_unchecked. You take &mut Self out of the pin (unsafe — you’re promising not to move the whole value), borrow disjoint fields, then re-pin the ones that need it.

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use std::future::Future;
use std::pin::Pin;
use std::task::{Context, Poll};

struct Logged<F> {
    inner: F,
    polls: u32,
}

impl<F: Future> Future for Logged<F> {
    type Output = F::Output;
    fn poll(self: Pin<&mut Self>, cx: &mut Context<'_>) -> Poll<Self::Output> {
        // SAFETY: we promise not to move `self`. `inner` is treated as
        // structurally pinned; `polls` is treated as freely movable.
        let this = unsafe { self.get_unchecked_mut() };
        this.polls += 1;
        let inner = unsafe { Pin::new_unchecked(&mut this.inner) };
        inner.poll(cx)
    }
}

Two unsafe blocks and an invariant you have to remember everywhere else in the file: if some other method ever does mem::replace(&mut this.inner, _), you’ve broken the pin contract and quietly created UB. The compiler will not catch it.

The clean answer: pin-project-lite

pin-project-lite mechanically derives the safe projection. Mark each structurally-pinned field with #[pin]:

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use std::future::Future;
use std::pin::Pin;
use std::task::{Context, Poll};
use pin_project_lite::pin_project;

pin_project! {
    struct Logged<F> {
        #[pin]
        inner: F,
        polls: u32,
    }
}

impl<F: Future> Future for Logged<F> {
    type Output = F::Output;
    fn poll(self: Pin<&mut Self>, cx: &mut Context<'_>) -> Poll<Self::Output> {
        let this = self.project();
        *this.polls += 1;
        this.inner.poll(cx)
    }
}

self.project() returns a generated struct where every #[pin] field is a Pin<&mut Field> and every other field is a plain &mut Field. No unsafe, no projection mistakes, no chance of accidentally mem::replace-ing a pinned field — the macro generates the accessors so the wrong move never compiles. This is the pattern tokio, hyper, futures, and effectively every library implementing custom futures lives on.

Structural vs non-structural — the choice you’re making

Marking a field #[pin] locks in three guarantees:

  • You will never move out of it once Self is pinned (no mem::replace, no mem::swap).
  • Its Drop impl runs while the field is still pinned.
  • Accessors hand you Pin<&mut Field>, not &mut Field.

Unmarked fields go the other way: you treat them as freely movable. Pick wrong — pin one structurally and then mem::swap it elsewhere — and you’ve quietly invalidated whatever pointers something else handed out into that field.

Rule of thumb: if a field is itself a future, or any !Unpin type that needs to be polled in place, mark it #[pin]. Counters, flags, owned Strings — leave them unmarked.

#162 May 2026

162. Pin<P> — The Pointer Type That Says 'This Won't Move'

Self-referential structs are the obvious “this should work but doesn’t” pattern in Rust: a struct that holds a buffer plus a reference into that buffer falls apart the moment it moves and the reference dangles. Pin<P> is the type that says “the pointee is fixed in memory” — and is the reason every async fn future you’ve ever .awaited can keep a pointer to its own local variables.

Why Pin exists at all

Take a String and a slice into it:

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struct Mess<'a> {
    buf: String,
    view: &'a str,   // borrows from buf
}

You can’t actually build this — Rust won’t let you write a struct that borrows from one of its own fields, because the move that follows construction would invalidate the borrow. Any helper that produces a Mess and returns it by value moves buf into the caller’s stack frame; view would still point at the old location. Disaster.

async fn bodies generate exactly this kind of struct under the hood: an enum of “states,” each carrying the locals live across an .await. If one of those locals is a reference to another local, the future is self-referential. Move it after polling and you’ve hit UB.

What Pin actually does

Pin<P> wraps a pointerBox<T>, &mut T, Rc<T>, etc. — and downgrades its API. Specifically: you can no longer reach the inner &mut T unless T: Unpin.

Without &mut T, you can’t std::mem::swap or mem::replace to move the value out. That’s the whole guarantee: the value behind a Pin<P> will never move again, except by running its destructor.

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use std::pin::Pin;

let mut boxed: Pin<Box<i32>> = Box::pin(42);
// i32: Unpin, so we can still write through the pin.
*boxed = 99;
assert_eq!(*boxed, 99);

For i32 the pinning is theatre — primitives implement Unpin, the marker that says “moving me is fine.” Pin only bites when the inner type is !Unpin.

Where it bites: polling a future

Future::poll takes self: Pin<&mut Self>. The compiler-generated futures from async {} are !Unpin, so you can’t poll them through a plain &mut. You have to pin first.

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use std::future::Future;
use std::pin::Pin;
use std::task::{Context, Poll, Waker};

let fut = async { 7 * 6 };
let mut boxed: Pin<Box<_>> = Box::pin(fut);

let mut cx = Context::from_waker(Waker::noop());

match boxed.as_mut().poll(&mut cx) {
    Poll::Ready(v) => assert_eq!(v, 42),
    Poll::Pending => unreachable!(),
}

Box::pin is the easy answer when you need an owned, heap-allocated, pinned future. The allocation is what makes the address stable — Box already promised that.

Stack pinning with pin!

Heap allocation just to poll a future feels heavy, and it is. The pin! macro pins a value on the stack instead: it shadows the binding so you can never get a non-pinned reference to it again.

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use std::future::Future;
use std::pin::pin;
use std::task::{Context, Poll, Waker};

let mut fut = pin!(async { String::from("ready") });

let mut cx = Context::from_waker(Waker::noop());

if let Poll::Ready(s) = fut.as_mut().poll(&mut cx) {
    assert_eq!(s, "ready");
}

The trick is that pin! re-binds fut to a Pin<&mut _> that borrows from a hidden, scope-local slot. The original value lives until the end of the block; nothing can sneak in and move it. Stable since Rust 1.68.

Unpin: the escape hatch for ordinary types

Unpin is an auto trait: almost everything implements it automatically. String, Vec<T>, your own struct of plain fields — all Unpin. For those, Pin<&mut T> and &mut T are interchangeable via Pin::new and Pin::into_inner:

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use std::pin::Pin;

let mut s = String::from("hi");
let pinned: Pin<&mut String> = Pin::new(&mut s);
// String: Unpin, so we get back a normal &mut String.
// `into_inner` is an associated function, not a method — avoids
// shadowing whatever `into_inner` the underlying type might have.
Pin::into_inner(pinned).push_str(", world");
assert_eq!(s, "hi, world");

This is why most of the time you can pretend Pin doesn’t exist. It only shows teeth when something is deliberately !Unpin — async-generated futures, intrusive linked-list nodes, and any self-referential struct you opt into with PhantomPinned.

When you’ll see it yourself

In day-to-day code you almost never write Pin<P> directly — the pin! macro and Box::pin cover polling, and tokio::pin! or tokio::spawn cover the async runtime case. You’ll meet Pin<&mut Self> in earnest when you:

  • Hand-roll a Future. poll takes Pin<&mut Self>, so any state machine you implement by hand has to thread it through.
  • Write a self-referential struct. Stick a PhantomPinned field in, and from then on the only way to use the type is through a Pin.
  • Build a custom executor. Pinning the futures the executor stores is exactly the invariant the Future trait is asking you for.

The mental model that sticks: Pin<P> doesn’t pin the pointer — it pins what the pointer points at. The pointer can move, be copied, be passed around; the value under it has promised to stay where it was first pinned, all the way until Drop. That’s the contract the async machinery is built on, and the reason it’s safe to keep an .await point inside a function call hundreds of frames deep.

163. Cow::to_mut — Lazy In-Place Mutation Through Cow

Cow<str> is the type everyone reaches for when a function might need to modify its input. Cow::Borrowed and Cow::Owned are the constructors that get the spotlight; to_mut is the third piece, and it’s the one that actually pays off the laziness.

What to_mut does

to_mut takes &mut Cow<str> and hands back &mut String:

  • If the Cow is already Owned, you get a direct &mut to the inner String.
  • If it’s Borrowed, to_mut clones the slice into a fresh String, swaps the Cow over to Owned, and then hands you the mutable reference.

That asymmetry is the whole point. Many callers borrow and never touch to_mut — they never allocate. The ones that do call it pay the allocation cost exactly once, on first write.

A walking-the-string example

Expand \t into two spaces, but only allocate if the input actually contains a tab:

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use std::borrow::Cow;

fn expand_tabs(s: &str) -> Cow<'_, str> {
    let mut out: Cow<'_, str> = Cow::Borrowed(s);
    if let Some(i) = s.find('\t') {
        // First write — `to_mut` clones the slice into a String, then we
        // rebuild from byte `i` onwards.
        let buf = out.to_mut();
        buf.truncate(i);
        for c in s[i..].chars() {
            if c == '\t' {
                buf.push_str("  ");
            } else {
                buf.push(c);
            }
        }
    }
    out
}

The happy path — input has no tab — never enters the if, never allocates, and returns the original slice wrapped in Cow::Borrowed. The unhappy path allocates exactly once.

Composing transformations

to_mut really earns its keep when you chain several optional mutations. The first one that fires flips the Cow to Owned; every following mutation sees an already-owned buffer and reuses it:

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use std::borrow::Cow;

fn apply_rules<'a>(s: &'a str, rules: &[(char, &str)]) -> Cow<'a, str> {
    let mut out: Cow<'a, str> = Cow::Borrowed(s);
    for &(from, to) in rules {
        if out.contains(from) {
            let replaced = out.replace(from, to);
            *out.to_mut() = replaced;
        }
    }
    out
}

Three things worth pointing at. First, out.contains(from) works because Cow<str> derefs to str. Second, the assignment *out.to_mut() = replaced replaces the inner String, not the Cow itself. Third, once the first rule fires, all subsequent to_mut calls are a no-op &mut String — no extra clones.

Pitfall: to_mut always commits

There’s no “preview, then maybe commit” mode. Calling to_mut on a borrowed Cow clones immediately, even if you never end up writing through the returned reference. So this is a trap:

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if !out.is_empty() {
    let _ = out.to_mut();  // allocates even though we may not change anything
    // ... maybe mutate, maybe not
}

Guard the call with the actual condition that means “I’m about to write,” not the condition that means “I might.” The mental shortcut: to_mut is the moment you trade your &str for a String. Reach for it lazily, but commit completely.

#161 May 2026

161. Weak<T> — The Non-Owning Pointer That Breaks Rc Cycles

Rc<T> is a counter, not a tracing GC: two Rcs pointing at each other will sit in memory forever, each propping the other’s strong-count above zero. Weak<T> is the cure — a pointer that observes an Rc’s allocation without keeping it alive.

The leak Rc lets you write

A parent node owning its children with Rc, and each child holding an Rc back at the parent, looks innocent — and leaks every node:

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use std::cell::RefCell;
use std::rc::Rc;

struct Node {
    name: String,
    parent: RefCell<Option<Rc<Node>>>,    // <-- the trap
    children: RefCell<Vec<Rc<Node>>>,
}

let root  = Rc::new(Node {
    name: "root".into(),
    parent: RefCell::new(None),
    children: RefCell::new(vec![]),
});
let child = Rc::new(Node {
    name: "child".into(),
    parent: RefCell::new(Some(Rc::clone(&root))),  // child owns root
    children: RefCell::new(vec![]),
});
root.children.borrow_mut().push(Rc::clone(&child));  // root owns child

// drop(root); drop(child);  -> strong_count of each is still 1. Memory never freed.

Once root and child go out of scope, their last external Rcs drop, but each still holds an Rc to the other. The strong-counts never hit zero. Drop never runs. The allocation stays put until the process exits.

Weak<T>: a pointer that doesn’t keep things alive

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use std::cell::RefCell;
use std::rc::{Rc, Weak};

struct Node {
    name: String,
    parent: RefCell<Weak<Node>>,          // <-- the fix
    children: RefCell<Vec<Rc<Node>>>,
}

let root = Rc::new(Node {
    name: "root".into(),
    parent: RefCell::new(Weak::new()),
    children: RefCell::new(vec![]),
});

let child = Rc::new(Node {
    name: "child".into(),
    parent: RefCell::new(Rc::downgrade(&root)),  // weak — doesn't bump strong count
    children: RefCell::new(vec![]),
});
root.children.borrow_mut().push(Rc::clone(&child));

assert_eq!(Rc::strong_count(&root), 1);   // only `root` itself
assert_eq!(Rc::weak_count(&root), 1);     // `child.parent`
assert_eq!(Rc::strong_count(&child), 2);  // `child` + `root.children[0]`

Strong pointers own; weak pointers observe. Rc::downgrade(&root) gives you a Weak<Node> that points at the same allocation but only bumps the weak counter. The strong counter — the one that decides when to drop — is unaffected. When the last Rc to a node disappears, the node is destroyed, even if a hundred Weaks are still aimed at it.

Reading through a Weak: upgrade

A Weak doesn’t deref. To get at the value, ask for a temporary Rc back — and be ready for None, because the allocation may already be gone:

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use std::rc::{Rc, Weak};

let strong = Rc::new(String::from("alive"));
let weak: Weak<String> = Rc::downgrade(&strong);

if let Some(rc) = weak.upgrade() {
    assert_eq!(*rc, "alive");
}

drop(strong);            // strong count -> 0, value dropped
assert!(weak.upgrade().is_none());

upgrade is the only way to read through a Weak<T>. The Option return type is the whole point: it forces every caller to handle the case where the upgraded pointer no longer refers to anything. That’s exactly the discipline a back-pointer in a tree needs — “give me my parent, if it’s still around.”

A standalone Weak: Weak::new

You usually want a Weak field initialised before its target exists. Weak::new makes one that points at nothing and upgrades to None:

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use std::rc::Weak;

let dangling: Weak<i32> = Weak::new();
assert!(dangling.upgrade().is_none());

This is what filled the parent field of root above before we had any pointer to give it. No allocation happens until something is actually downgraded into it.

Counts: strong_count and weak_count

Both counters are inspectable. weak_count is what Rc::downgrade increments; strong_count is the one that gates the drop:

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use std::rc::{Rc, Weak};

let a = Rc::new(42);
let w1: Weak<i32> = Rc::downgrade(&a);
let w2: Weak<i32> = Rc::downgrade(&a);

assert_eq!(Rc::strong_count(&a), 1);
assert_eq!(Rc::weak_count(&a), 2);

drop(w1);
assert_eq!(Rc::weak_count(&a), 1);

// Dropping the only strong owner frees the *value* immediately.
// The remaining weak pointer keeps the allocation header alive but
// upgrades will return None.
drop(a);
assert!(w2.upgrade().is_none());

One nuance worth knowing: a live Weak keeps a small allocation header around (so it can check whether the value is still there), but not the value itself. Drop runs on the inner T as soon as the strong-count hits zero, even if a million Weaks outlive it.

When to reach for Weak

Whenever the ownership graph has a back-edge or a cycle:

  • Parent pointers in a tree. Children own children with Rc; children point back to parents with Weak.
  • Observer / listener lists. A subject holds Weak<Listener> so listeners can be dropped externally without first deregistering.
  • Caches. A cache holding Weak<T> lets entries vanish the moment their last real user lets go.

The rule is mechanical: pick one direction in the cycle to be the owner (Rc), and make every edge that closes the loop a Weak. If that direction is hard to choose, the lifetime question is probably a real design question hiding inside the data.

Arc<T> has the same thing

Arc<T> gives you the same pair on the thread-safe side: Arc::downgrade returns a std::sync::Weak<T> (different type, same shape) that you upgrade to an Option<Arc<T>>. Same rules, same idiom — atomic counters under the hood.

Reach for Weak the moment any node in your structure needs to point at something that also points back. The borrow checker can’t catch this leak; making the back-edge weak is the design that does.

#160 May 2026

160. Arc<T> — Atomic Reference Counting for Threads, Plus Mutex and RwLock

Rc<T> gave us shared ownership inside one thread. The moment you thread::spawn it, the compiler refuses. Arc<T> is the same shape with an atomic counter: same clone-the-pointer ergonomics, but Send + Sync and safe to share between threads — and the building block under almost every concurrent pattern in Rust.

The pain: Rc stops at the thread boundary

Rc’s counter is a plain usize. Two threads incrementing it at the same time could read, write, and lose updates — and a lost increment would free a still-referenced allocation. So Rc<T> is deliberately !Send, and the compiler stops you before you can try:

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use std::rc::Rc;
use std::thread;

let cfg = Rc::new(String::from("app"));
thread::spawn(move || println!("{cfg}"));
// error[E0277]: `Rc<String>` cannot be sent between threads safely

Arc<T>: same API, atomic counter

Arc is Rc’s sibling with an atomic strong-count. Same new, same clone, same Deref<Target = T>, same “read-only through the pointer.” The cost is a fetch_add on every clone and a fetch_sub on every drop — measurable in tight benchmarks, free everywhere else:

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use std::sync::Arc;
use std::thread;

let shared = Arc::new(vec![1, 2, 3, 4, 5]);

let mut handles = vec![];
for i in 0..3 {
    let view = Arc::clone(&shared);
    handles.push(thread::spawn(move || {
        let sum: i32 = view.iter().sum();
        (i, sum)
    }));
}

let results: Vec<_> = handles.into_iter().map(|h| h.join().unwrap()).collect();
assert_eq!(results.len(), 3);
assert!(results.iter().all(|(_, s)| *s == 15));

Every spawned thread gets its own Arc clone, bumps the strong-count on the way in, and decrements on the way out. The Vec is dropped exactly once — when the last thread (or the main one) lets go of the final clone.

The Arc::clone(&x) convention is even more important here than for Rc: at a glance you want to know that the closure captured a counter bump, not a 200MB deep copy of the value inside.

Read-only is still the default — wrap for mutation

Just like Rc, you only get &T through an Arc<T>:

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use std::sync::Arc;
let a = Arc::new(String::from("app"));
let b = Arc::clone(&a);
a.push_str("-prod");
// error: cannot borrow data in an `Arc` as mutable

That’s the right default — two threads with &mut to the same value would be an instant data race. To mutate, you compose Arc with a lock. The wrapper choice mirrors the morning’s tradeoff: RefCell would have given us runtime borrow checking on one thread; across threads we need synchronization the OS understands.

Arc<Mutex<T>>: the workhorse of shared mutable state

Pair an Arc with a Mutex and you get the most common concurrent pattern in Rust: many threads, one allocation, exclusive write access at a time.

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use std::sync::{Arc, Mutex};
use std::thread;

let counter = Arc::new(Mutex::new(0_u64));

let mut handles = vec![];
for _ in 0..8 {
    let c = Arc::clone(&counter);
    handles.push(thread::spawn(move || {
        for _ in 0..1_000 {
            *c.lock().unwrap() += 1;
        }
    }));
}
for h in handles { h.join().unwrap(); }

assert_eq!(*counter.lock().unwrap(), 8_000);

The Arc is what each thread owns; the Mutex is what makes the increment safe. Drop either half and the code doesn’t compile: without the Arc, the Mutex can’t be moved into eight closures at once; without the Mutex, you can’t get &mut u64 from &Mutex<u64> at all.

Arc<RwLock<T>>: when reads dominate

When the value is read far more often than it’s written — a config, a cache, a routing table — swap the Mutex for an RwLock. Many readers can hold a shared lock at the same time; writers still take it exclusively.

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use std::sync::{Arc, RwLock};
use std::thread;

let config = Arc::new(RwLock::new(String::from("v1")));

let mut readers = vec![];
for _ in 0..4 {
    let c = Arc::clone(&config);
    readers.push(thread::spawn(move || {
        let g = c.read().unwrap();
        g.len()
    }));
}

{
    let mut w = config.write().unwrap();
    *w = String::from("v2-prod");
}

let lens: Vec<_> = readers.into_iter().map(|h| h.join().unwrap()).collect();
assert!(lens.iter().all(|&n| n == 2 || n == 7));
assert_eq!(*config.read().unwrap(), "v2-prod");

Arc<Mutex<T>> vs Arc<RwLock<T>> is one of those daily judgment calls: if write contention is high, Mutex is often faster because RwLock has more bookkeeping; if reads are ≥10× writes, RwLock lets the readers actually run in parallel.

The catch: Arc<T> doesn’t make T thread-safe

Arc::new(x) only requires T: Sync to be Send. If you wrap a Cell<u32> (which is !Sync) in an Arc, the type system catches you trying to share it across threads — there’s no magic; the wrappers compose because their Send/Sync bounds compose.

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use std::sync::Arc;
use std::cell::Cell;
use std::thread;

let a = Arc::new(Cell::new(0));
let b = Arc::clone(&a);
thread::spawn(move || b.set(1));
// error: `Cell<i32>` cannot be shared between threads safely

That’s why Arc<Mutex<T>> and Arc<RwLock<T>> are the workhorses: the inner type provides the Sync, the Arc provides the Send.

When not to reach for Arc

Arc is the right tool for genuine shared ownership across threads, but it isn’t the only way to move data across one. If a thread just needs to borrow something for a bounded scope, scoped threads let you hand out plain &T without an Arc clone at all. If a value only needs to move from producer to consumer, an mpsc channel transfers ownership directly. Use Arc when more than one thread genuinely owns the same allocation at the same time — not as the default smart pointer for “I have a value and threads.”

159. Rc<T> — Single-Threaded Shared Ownership

The borrow checker’s one-owner rule is a feature until you’re modeling a graph, a cache, or any structure where “who owns this?” honestly has more than one answer. Rc<T> is the escape hatch: a reference-counted pointer that lets multiple owners share the same heap allocation, single-threaded, no locking, no overhead beyond a counter increment.

The pain: a value with no single owner

Imagine a config blob a couple of subsystems need to read. You don’t want to copy it — it’s big — and you can’t give either subsystem a &Config without inventing a parent that outlives them both:

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struct Config { name: String }

fn build() -> (Logger, Metrics) {
    let cfg = Config { name: "app".into() };
    let logger = Logger { cfg: &cfg };  // error: `cfg` does not live long enough
    let metrics = Metrics { cfg: &cfg };
    (logger, metrics)
}

You could clone() the Config and hand each subsystem its own copy. You could thread the lifetime through every type that touches it. Or you could acknowledge that this value genuinely has multiple owners and say so.

Rc<T>: many owners, one allocation

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use std::rc::Rc;

struct Config { name: String }
struct Logger { cfg: Rc<Config> }
struct Metrics { cfg: Rc<Config> }

let cfg = Rc::new(Config { name: "app".into() });
let logger = Logger { cfg: Rc::clone(&cfg) };
let metrics = Metrics { cfg: Rc::clone(&cfg) };

assert_eq!(logger.cfg.name, "app");
assert_eq!(metrics.cfg.name, "app");

Rc::new puts the Config on the heap alongside a strong-count of 1. Rc::clone doesn’t clone the Config — it bumps the counter and hands back another pointer to the same allocation. When a clone is dropped the count decrements; when the last clone is dropped, the Config is destroyed and the heap memory is freed.

The convention is Rc::clone(&x) rather than x.clone(). Both compile, both do the same thing, but the explicit form makes “this is a cheap counter bump, not a deep copy” obvious at the call site — especially helpful when T itself is Clone.

Inspecting the count

Rc::strong_count is a debugging window into the same counter:

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use std::rc::Rc;

let a = Rc::new(String::from("shared"));
assert_eq!(Rc::strong_count(&a), 1);

let b = Rc::clone(&a);
let c = Rc::clone(&a);
assert_eq!(Rc::strong_count(&a), 3);

drop(b);
assert_eq!(Rc::strong_count(&a), 2);

You almost never need to read it in production code — its main use is asserting “yes, this is actually shared” in tests, or understanding a memory leak.

You only get &T through an Rc<T>

The price for shared ownership is read-only access. Rc<T> is Deref<Target = T>, but not DerefMut. Try to mutate and the compiler stops you:

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use std::rc::Rc;

let cfg = Rc::new(String::from("app"));
let other = Rc::clone(&cfg);
cfg.push_str("-prod");
// error: cannot borrow data in an `Rc` as mutable

This is the correct default. If two owners could both call &mut simultaneously, you’d have a data race in single-threaded code — exactly the bug Rust exists to prevent. So you need a runtime borrow check, which is what RefCell<T> provides.

The classic pattern: Rc<RefCell<T>>

When the shared value also needs to mutate, wrap it in a RefCell. The outer Rc gives you shared ownership; the inner RefCell gives you borrow_mut through &self:

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use std::rc::Rc;
use std::cell::RefCell;

let log: Rc<RefCell<Vec<String>>> = Rc::new(RefCell::new(Vec::new()));

let writer_a = Rc::clone(&log);
let writer_b = Rc::clone(&log);

writer_a.borrow_mut().push("a says hi".into());
writer_b.borrow_mut().push("b says hi".into());

let snapshot = log.borrow();
assert_eq!(snapshot.len(), 2);
assert_eq!(snapshot[0], "a says hi");

Every Rc::clone owns the cell; every borrow goes through RefCell’s runtime check. Forget the inner RefCell and you’ll be staring at cannot borrow as mutable errors. Forget the outer Rc and you can’t share the cell in the first place. The pair shows up so often that “Rc<RefCell<…>>” should land in your fingers as one token.

Rc::clone vs (*rc).clone()

It’s worth seeing the difference once:

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use std::rc::Rc;

let a = Rc::new(vec![1, 2, 3]);

let cheap = Rc::clone(&a);        // counter += 1, no allocation
let expensive: Vec<i32> = (*a).clone();   // brand new Vec, separate heap allocation

assert_eq!(Rc::strong_count(&a), 2);   // a + cheap; `expensive` isn't an Rc at all
assert_eq!(expensive, vec![1, 2, 3]);

Rc<T> doesn’t change what T::clone does — it just adds a much cheaper way to make another pointer to the same T. Use Rc::clone for the pointer; reach for (*rc).clone() only when you really do want a fresh, independent T.

The catch: Rc<T> is not Send

Rc is deliberately not thread-safe. The counter increment isn’t atomic; if two threads bumped it simultaneously you could undercount and free a still-referenced allocation. Try to move one across a thread boundary and the compiler refuses:

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use std::rc::Rc;
use std::thread;

let a = Rc::new(42);
thread::spawn(move || println!("{a}"));
// error: `Rc<i32>` cannot be sent between threads safely

That refusal is the whole reason Rc is cheap — no atomic ops, no fences. Cross threads and you want the atomically-counted sibling: Arc<T>, which this afternoon’s bite is about. Same API, same shape, just Send + Sync and a slightly costlier clone.

The other catch: reference cycles

Two Rcs pointing at each other never drop, because each is keeping the other’s count above zero:

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struct Node {
    next: RefCell<Option<Rc<Node>>>,
}
// build a -> b -> a … and neither will ever be freed

Rc is a counter, not a tracing GC — it can’t notice that an island of nodes is unreachable from the outside as long as the nodes are still pointing at each other. The fix is Weak<T>, the non-owning sibling pointer you get from Rc::downgrade. That’s tomorrow’s bite. For now: if your data is a tree, plain Rc<RefCell<T>> is fine; if it’s a graph or has back-pointers, plan for Weak.

#158 May 2026

158. OnceLock<T> and LazyLock<T, F> — The std Replacements for lazy_static!

This morning’s Atomic* handled “many threads, one scalar.” For “many threads, one value — computed once, then read forever” the std answer is two types: LazyLock<T, F> when you can name the initializer up front, OnceLock<T> when you only learn the value at runtime. Both make the old lazy_static! macro and the once_cell crate redundant.

The bad old days: lazy_static!

Until Rust 1.80 (mid-2024), a thread-safe lazy global meant a macro from a crate:

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// Cargo.toml: lazy_static = "1"
use lazy_static::lazy_static;
use std::collections::HashMap;

lazy_static! {
    static ref COUNTRIES: HashMap<&'static str, &'static str> = {
        let mut m = HashMap::new();
        m.insert("fr", "France");
        m.insert("de", "Germany");
        m
    };
}

fn main() {
    assert_eq!(COUNTRIES.get("fr"), Some(&"France"));
}

It worked, but it pulled in a dependency, used macro magic to fake a static, and gave you a custom Deref wrapper instead of a normal type. Every dependency in your tree that wanted a lazy global was either pulling in lazy_static or the more modern once_cell crate.

The std way: LazyLock<T, F>

Stabilized in Rust 1.80, LazyLock is a normal type — no macro, no Deref trickery, just a static like any other:

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use std::collections::HashMap;
use std::sync::LazyLock;

static COUNTRIES: LazyLock<HashMap<&'static str, &'static str>> = LazyLock::new(|| {
    let mut m = HashMap::new();
    m.insert("fr", "France");
    m.insert("de", "Germany");
    m
});

assert_eq!(COUNTRIES.get("fr"), Some(&"France"));

The closure runs the first time anything touches COUNTRIES, exactly once, and every thread that races to be that “first” gets the same value back. If two threads arrive together, one wins the init and the other blocks until it’s done — same contract lazy_static! always had, now in std.

When the initializer isn’t known at compile time: OnceLock<T>

LazyLock is great when you can write the initializer as a const fn-friendly closure. But what about config you only know after main() starts — a CLI flag, an env var, a parsed file? Stuffing that into a closure means either re-reading the env var at first use or capturing values you don’t have yet at static time. That’s OnceLock<T>’s job:

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use std::sync::OnceLock;

static GREETING: OnceLock<String> = OnceLock::new();

fn init_from_args(name: &str) {
    GREETING.set(format!("hello, {name}")).ok();   // ok() = ignore "already set"
}

fn greeting() -> &'static str {
    GREETING.get().map(String::as_str).unwrap_or("hello, world")
}

init_from_args("ferris");
assert_eq!(greeting(), "hello, ferris");

set returns Err(value) if someone beat you to it — handy when multiple call sites might initialize and you want the first one to win without panicking.

The convenience method: get_or_init

The “check if set, init if not” dance is so common that OnceLock ships it as one call:

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use std::sync::OnceLock;

fn config() -> &'static String {
    static CFG: OnceLock<String> = OnceLock::new();
    CFG.get_or_init(|| std::env::var("APP_CFG").unwrap_or_else(|_| "default".into()))
}

assert!(!config().is_empty());
assert_eq!(config(), config());    // same &'static str on every call

This is what most “lazy global computed from runtime data” code actually wants. Functions can own their own OnceLock as a function-local static — no need to pollute the module namespace.

Which one when

You haveReach for
A closure that needs no runtime inputLazyLock<T, F>
A value you’ll set later (from main, a builder, a DI container)OnceLock<T> with set
Per-function memoization of an expensive computationOnceLock<T> with get_or_init
Single-threaded version of the aboveLazyCell / OnceCell

LazyLock is the closer match to lazy_static!. OnceLock is the closer match to manual Mutex<Option<T>> patterns where you wanted “set once, read many.”

The trait bounds, briefly

Because these are Sync and live in a static, the contained T must be Send + Sync. The initializer closure for LazyLock must be Send. You won’t notice for String, HashMap, Vec, Arc<…> — but if you try to stuff an Rc<T> in there the compiler will (correctly) yell. The single-threaded versions, LazyCell and OnceCell, have no such bound — that’s the whole reason both pairs exist.

What you can finally delete

If a crate in your tree still has lazy_static = "1" or once_cell = "1" in its Cargo.toml, and your MSRV is 1.80 or newer, the migration is mechanical:

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// before
lazy_static! { static ref X: T = init(); }
// after
static X: LazyLock<T> = LazyLock::new(init);
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// before
use once_cell::sync::OnceCell;
static X: OnceCell<T> = OnceCell::new();
// after
use std::sync::OnceLock;
static X: OnceLock<T> = OnceLock::new();

One fewer dependency, one less macro in the expansion, and the type that shows up in error messages is just LazyLock<T> — not some crate-private deref wrapper. Tomorrow’s bite picks up the thread on Arc<T> — what to reach for when “one global value” isn’t enough and you need shared ownership across threads.

157. Atomic* — The Thread-Safe Cell for Scalars

A Cell<T> lets a single thread mutate through &selfget/set instead of &mut. The atomic types in std::sync::atomic are the same shape, just Sync: a counter, flag, or pointer many threads can poke at without a Mutex, no lock acquisition, no guard, no panic on contention.

The pain: Mutex<u64> for a single counter

A request counter shared across worker threads is the textbook reach-for-Arc<Mutex<_>> case — and the textbook overkill:

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use std::sync::{Arc, Mutex};
use std::thread;

let hits = Arc::new(Mutex::new(0u64));
let mut handles = Vec::new();

for _ in 0..8 {
    let h = Arc::clone(&hits);
    handles.push(thread::spawn(move || {
        for _ in 0..1000 {
            let mut g = h.lock().unwrap();   // lock, increment, unlock — 1000 times
            *g += 1;
        }
    }));
}
for h in handles { h.join().unwrap(); }
assert_eq!(*hits.lock().unwrap(), 8_000);

Eight threads contending on a lock for an n += 1 is a lot of ceremony to add one to an integer. The CPU has a single instruction for this. Rust exposes it.

The fix: AtomicU64 (or AtomicUsize, AtomicBool, …)

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use std::sync::Arc;
use std::sync::atomic::{AtomicU64, Ordering};
use std::thread;

let hits = Arc::new(AtomicU64::new(0));
let mut handles = Vec::new();

for _ in 0..8 {
    let h = Arc::clone(&hits);
    handles.push(thread::spawn(move || {
        for _ in 0..1000 {
            h.fetch_add(1, Ordering::Relaxed);   // one instruction, no lock
        }
    }));
}
for h in handles { h.join().unwrap(); }
assert_eq!(hits.load(Ordering::Relaxed), 8_000);

No lock(), no guard, no unwrap. fetch_add is a single read-modify-write — on x86 it’s literally lock xadd. The Arc is still there because the threads need shared ownership, but the interior is lock-free.

The API is just Cell’s API, with orderings

Every atomic has the same small surface:

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use std::sync::atomic::{AtomicUsize, Ordering};

let n = AtomicUsize::new(7);

// like Cell::get / Cell::set
let v = n.load(Ordering::Relaxed);     assert_eq!(v, 7);
n.store(42, Ordering::Relaxed);
assert_eq!(n.load(Ordering::Relaxed), 42);

// like Cell::replace
let old = n.swap(100, Ordering::Relaxed);
assert_eq!(old, 42);
assert_eq!(n.load(Ordering::Relaxed), 100);

Notice what’s missing: there is no &mut T anywhere. You never borrow the inside. You read out a copy or write one in. That’s why this works across threads at all — there’s nothing to alias.

Read-modify-write: the real reason atomics exist

The fetch_* family is where atomics earn their keep. Each is a single uninterruptible round-trip:

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use std::sync::atomic::{AtomicI32, Ordering};

let n = AtomicI32::new(10);

assert_eq!(n.fetch_add(5, Ordering::Relaxed), 10);  // returns old
assert_eq!(n.load(Ordering::Relaxed), 15);

assert_eq!(n.fetch_sub(3, Ordering::Relaxed), 15);
assert_eq!(n.fetch_or(0b1000, Ordering::Relaxed), 12);
assert_eq!(n.fetch_and(0b1100, Ordering::Relaxed), 0b1100);
assert_eq!(n.load(Ordering::Relaxed), 0b1100);

fetch_add, fetch_sub, fetch_or, fetch_and, fetch_xor, fetch_min, fetch_max — each one returns the value before the operation. That “before” is what makes them composable: you know exactly which thread did the increment that took you from 999 to 1000.

For anything more complex than a single op (clamp, toggle a state machine, transform), reach for update instead of hand-rolling a compare_exchange loop.

AtomicBool: the flag that doesn’t need a Mutex

The most common “I just want one bit” case:

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use std::sync::atomic::{AtomicBool, Ordering};

let stop = AtomicBool::new(false);

// thread A
stop.store(true, Ordering::Release);

// thread B's hot loop
if stop.load(Ordering::Acquire) {
    // shut down
}
# assert!(stop.load(Ordering::Acquire));

Release on the writer + Acquire on the reader pairs everything written before the store with everything read after the load — the standard cancellation-flag pattern. Relaxed would be fine if stop is the only thing the two threads share; use Acquire/Release when the flag is gating other writes.

The full menu

std::sync::atomic ships an atomic for every primitive size:

TypeNotes
AtomicBoolLock-free flags
AtomicU8 / U16 / U32 / U64 / UsizeUnsigned counters, bitmasks
AtomicI8 / I16 / I32 / I64 / IsizeSigned deltas
AtomicPtr<T>Raw *mut T, for hand-rolled lock-free structures

Not every target supports every width lock-free (32-bit ARM lacks 64-bit CAS, for example). cfg(target_has_atomic = "64") lets you gate code that requires it. On modern x86_64 and aarch64, all of the above are lock-free.

What you give up vs Mutex<T>

Atomics work only on values the CPU already knows how to swap in one instruction. The moment you need to atomically update two fields together — a counter and a timestamp, say — you’re back to Mutex<T>. There is no AtomicStruct. You can’t fetch_push a Vec.

The other thing you give up is loud failure. A Mutex poisoned by a panic returns an Err; a deadlock blocks forever and shows up in a stack dump. An atomic happily does the wrong thing forever if you pick the wrong Ordering — the bug manifests as a flaky test under heavy load on a weakly-ordered CPU, and not at all on your laptop. Use SeqCst when in doubt; reach for Relaxed/Acquire/Release only when you can name what’s being synchronized with what.

When to reach for atomics

Counters, flags, generation numbers, fetch_add-style ID allocators, the “is this initialized yet” bit. Anything where the value fits in a register and the only operation is read / write / one-shot RMW.

Anything fatter — a config map, a parsed AST, a connection pool — wants a Mutex<T> or RwLock<T> wrapped in an Arc. And for the “compute once, then read forever” case across threads, there’s a purpose-built tool — that’s this afternoon’s bite.

#156 May 2026

156. RwLock<T> — Many Readers OR One Writer, When Reads Dominate

This morning’s Mutex<T> treats every caller the same: one at a time, no matter what they’re doing. If ninety-nine of them only want to read, that’s ninety-nine threads serialized behind a lock they didn’t need. RwLock<T> splits the door in two — many readers OR one writer — so read-heavy workloads actually fan out.

The pain: Mutex serializes readers too

A Mutex doesn’t know or care whether you’re going to mutate. Two threads that just want to peek at a config still queue up:

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use std::sync::{Arc, Mutex};
use std::thread;

let config = Arc::new(Mutex::new(vec!["a", "b", "c"]));
let mut handles = Vec::new();

for _ in 0..8 {
    let c = Arc::clone(&config);
    handles.push(thread::spawn(move || {
        let g = c.lock().unwrap();        // all 8 threads serialize here
        g.iter().map(|s| s.len()).sum::<usize>()
    }));
}

Eight threads, eight reads, zero writes — and they still run one at a time. For a config that’s read on every request and updated once an hour, that’s a lot of wasted parallelism.

The fix: read() and write()

RwLock<T> has two acquire methods, and they map directly onto the two halves of the aliasing rule:

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use std::sync::RwLock;

let lock = RwLock::new(vec![1, 2, 3]);

// Many readers can hold a read guard at the same time.
{
    let r1 = lock.read().unwrap();
    let r2 = lock.read().unwrap();
    assert_eq!(r1.len(), 3);
    assert_eq!(r2.len(), 3);
}

// Exactly one writer at a time, with no readers alive.
{
    let mut w = lock.write().unwrap();
    w.push(4);
}

assert_eq!(*lock.read().unwrap(), vec![1, 2, 3, 4]);

read() hands back a RwLockReadGuard that derefs to &T. write() hands back a RwLockWriteGuard that derefs to &mut T. Both release on drop. The whole point: any number of read() guards can be alive at once, as long as no write() guard is.

The classic shape: Arc<RwLock<T>> with many readers

The pattern is the same Arc<_>-wraps-the-shared-thing shape as Arc<Mutex<T>>, but the parallelism story changes. Readers actually run at the same time:

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use std::sync::{Arc, RwLock};
use std::thread;

let cache: Arc<RwLock<Vec<u32>>> = Arc::new(RwLock::new(vec![10, 20, 30]));
let mut handles = Vec::new();

// 8 readers, all running concurrently.
for _ in 0..8 {
    let c = Arc::clone(&cache);
    handles.push(thread::spawn(move || {
        let g = c.read().unwrap();
        g.iter().sum::<u32>()
    }));
}

// One writer, runs alone.
{
    let c = Arc::clone(&cache);
    handles.push(thread::spawn(move || {
        let mut w = c.write().unwrap();
        w.push(40);
        0
    }));
}

let sums: Vec<u32> = handles.into_iter().map(|h| h.join().unwrap()).collect();
// Every reader saw either the pre-write or post-write state, never a torn one.
assert!(sums.iter().all(|&s| s == 60 || s == 100 || s == 0));

The point isn’t the assertion — it’s that the eight readers can interleave freely on real hardware. Swap in a Mutex and they’d be a stairstep.

The footgun: writer starvation

A reader-heavy workload can keep the lock in “shared” mode forever. A writer waiting on write() blocks every new reader from joining (on most platforms), but the current readers keep working — and as soon as one of them is done, if a new reader sneaks in before the writer is scheduled, the writer stays parked. The standard library’s RwLock does not promise any particular fairness policy, and historically the behavior varied per OS.

Two practical takeaways:

  1. Keep the write path short. Compute what you want to write outside the lock; take write() only to swap the result in.
  2. If you find yourself reaching for “give readers priority” or “give writers priority” knobs, you’ve outgrown std::sync::RwLock. Either restructure to publish snapshots through Arc::new swaps, or pull in parking_lot::RwLock which exposes fairness controls.

The other footgun: holding the read guard across a write

Same shape as the Mutex “hold the guard too long” bug, but uglier — because nested re-entry on the same thread will deadlock, not panic:

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let lock = RwLock::new(0u32);

let r = lock.read().unwrap();
// Some library calls back into us here and tries:
let mut w = lock.write().unwrap();  // deadlock: we still hold `r`
*w += 1;

RefCell would panic loudly with already borrowed. RwLock will silently park the thread, and you’ll see it only in a stack dump. When in doubt, drop the guard explicitly before any call you don’t control.

Going the other way: downgrade to keep reading what you just wrote

Once you’ve finished a write and want to keep reading the same value without a release/reacquire window, RwLockWriteGuard::downgrade is the atomic way across. Worth knowing about for the cache-refresh shape, where the writer thread immediately turns into a long-lived reader.

When to pick RwLock vs Mutex

Mutex<T> for short critical sections, mixed read/write workloads, or anywhere the per-operation cost of a lock matters. Cheaper per acquire, simpler mental model, no fairness surprises.

RwLock<T> when reads vastly outnumber writes and the read critical section is non-trivial — long enough that running them in parallel actually pays for the higher per-acquire cost. Read-only config lookups served on every request, periodically refreshed snapshots, anything shaped like “1000 readers, 1 writer per minute.”

If reads are short (a single field load) and contention is low, plain Mutex is often faster in practice — the extra bookkeeping in RwLock isn’t free. Measure before assuming the read-write split is a win.

#155 May 2026

155. Mutex<T> — Cross-Thread Exclusive Access, With a Guard Instead of a Panic

Yesterday’s RefCell<T> gives you &mut through &self on a single thread — and panics the moment a second borrow shows up. Mutex<T> is the same idea wearing a hard hat: it’s Sync, so it works across threads, and instead of panicking on contention it just blocks until the other holder is done.

The pain: RefCell is single-threaded, and panics on contention

RefCell<T> is !Sync. The moment you try to share one across threads, the compiler stops you:

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use std::cell::RefCell;
use std::sync::Arc;
use std::thread;

let shared = Arc::new(RefCell::new(0u32));
let s2 = Arc::clone(&shared);

thread::spawn(move || { *s2.borrow_mut() += 1; });
// error[E0277]: `RefCell<u32>` cannot be shared between threads safely

Even on one thread, RefCell will panic if a borrow_mut() clashes with a live borrow(). That’s fine for logic bugs you want to find loudly — useless for two real threads that genuinely both want to write.

The fix: lock() returns a guard

Mutex<T> is Sync (when T: Send), and its .lock() method takes &self, blocks until the mutex is free, and hands back a MutexGuard<'_, T>. The guard derefs to &mut T, and releases the lock when it drops:

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use std::sync::Mutex;

let m = Mutex::new(0u32);

{
    let mut g = m.lock().unwrap();   // blocks here if held; we're alone, so it's instant
    *g += 1;
    *g += 1;
}                                     // lock released as `g` drops

assert_eq!(*m.lock().unwrap(), 2);

The .unwrap() is there because lock() returns Result — see “Poisoning” below.

The classic: Arc<Mutex<T>> across threads

Mutex is the inside half. To share ownership across threads you wrap it in Arc — the thread-safe sibling of Rc (covered in Sunday’s morning bite):

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use std::sync::{Arc, Mutex};
use std::thread;

let counter = Arc::new(Mutex::new(0u32));
let mut handles = Vec::new();

for _ in 0..8 {
    let c = Arc::clone(&counter);
    handles.push(thread::spawn(move || {
        for _ in 0..100 {
            *c.lock().unwrap() += 1;
        }
    }));
}

for h in handles { h.join().unwrap(); }

assert_eq!(*counter.lock().unwrap(), 800);

Eight threads, a hundred increments each, eight hundred total — no torn writes, no races, because every increment runs while exactly one thread holds the lock.

The footgun: holding the guard too long

The single most common Mutex bug is leaving the guard alive across slow work. Anything between lock() and the guard going out of scope is serialized:

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// BAD — lock held for the whole block, including the slow call
let g = state.lock().unwrap();
if let Some(v) = g.cache.get(&key) {
    slow_network_thing(v);            // every other thread is blocked on us
}

// BETTER — get out what you need, drop the guard, then do the slow work
let v = state.lock().unwrap().cache.get(&key).cloned();
if let Some(v) = v {
    slow_network_thing(&v);
}

drop(g) works too if you can’t easily restructure. The mental model: the guard is a lease, keep it as short as you can.

Poisoning, and why .lock() returns Result

If a thread panics while holding the lock, the Mutex is poisoned. Future lock() calls return Err(PoisonError) so you can decide whether the data is still consistent. You can always recover the inner guard with .into_inner():

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use std::sync::{Arc, Mutex};
use std::thread;

let m = Arc::new(Mutex::new(vec![1, 2, 3]));
let m2 = Arc::clone(&m);

let _ = thread::spawn(move || {
    let _g = m2.lock().unwrap();
    panic!("oops");
}).join();                            // panic propagates, then mutex is poisoned

let mut g = match m.lock() {
    Ok(g) => g,
    Err(p) => p.into_inner(),         // we know our data is still fine
};
g.push(4);
assert_eq!(*g, vec![1, 2, 3, 4]);

For data where one panic mid-update really would leave things half-written, the Err is the signal to crash the whole component instead of papering over it.

When to pick Mutex vs RefCell vs RwLock

RefCell<T> for single-threaded interior mutability where contention is a bug. Panics loudly. Zero locking cost.

Mutex<T> when more than one thread needs to write — or might. Blocks instead of panicking. One holder at a time, readers and writers treated identically.

RwLock<T> (covered in this afternoon’s bite) when reads vastly outnumber writes and you want many readers to proceed in parallel. Pricier per-op than Mutex, but the parallelism wins for read-heavy workloads.

154. UnsafeCell<T> — The Primitive Every Interior-Mutability Type Is Built On

This morning’s OnceCell / LazyCell bite — and Cell, RefCell, Mutex, RwLock, OnceLock, every atomic — all bottom out at the same type: UnsafeCell<T>. It is the one and only legal way in Rust to mutate through a shared reference. You’ll almost never type its name, but knowing what it does explains why all the rest exist.

The pain: &T is “you may not mutate” — to the optimizer too

Outside UnsafeCell, the compiler is allowed to assume &T points to data that won’t change underneath it. It can cache loads, hoist reads out of loops, mark pointers noalias in LLVM. Try to fake interior mutability with a raw cast and you’ve signed up for undefined behavior — not “it works but is ugly,” actual UB the optimizer is free to exploit:

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fn cheat(r: &u32) {
    let p = r as *const u32 as *mut u32;
    unsafe { *p = 99; } // UB: mutating through &T without UnsafeCell
}

The cast compiles. The write may even appear to happen. But the program has lost all guarantees, and the next release of rustc — or a different opt level — can break it.

The fix: UnsafeCell::get returns *mut T through &self

UnsafeCell<T> is the one type the compiler treats specially: a &UnsafeCell<T> is not a promise that the inside won’t change, so noalias and friends don’t apply. Its .get() method takes &self and hands back a raw *mut T:

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use std::cell::UnsafeCell;

let cell = UnsafeCell::new(10u32);
let p: *mut u32 = cell.get();    // legal through &cell
unsafe { *p = 20; }              // legal — UnsafeCell opted out of the no-mutation rule
assert_eq!(unsafe { *cell.get() }, 20);

That’s the whole feature. Every other interior-mutability type in std is a safe wrapper around exactly this primitive plus an invariant — a borrow counter, a lock bit, an atomic flag — that justifies the unsafe block inside.

Build Cell from scratch in 20 lines

To see it in action, here’s a stripped-down Cell<T> clone. Real std::cell::Cell is more polished, but the shape is identical:

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use std::cell::UnsafeCell;

struct MyCell<T> {
    value: UnsafeCell<T>,
}

impl<T: Copy> MyCell<T> {
    fn new(v: T) -> Self {
        Self { value: UnsafeCell::new(v) }
    }

    fn get(&self) -> T {
        // SAFETY: UnsafeCell makes Self !Sync, so no thread races us.
        // We never hand out a reference into the cell, so no aliased &mut exists.
        unsafe { *self.value.get() }
    }

    fn set(&self, v: T) {
        // SAFETY: same as `get`.
        unsafe { *self.value.get() = v; }
    }
}

let counter = MyCell::new(0u32);
counter.set(counter.get() + 1);
counter.set(counter.get() + 1);
assert_eq!(counter.get(), 2);

UnsafeCell does the optimizer-level work; the Copy bound plus “never lend a reference out” does the safety work. Drop either piece and the type is unsound.

The !Sync default — and how Mutex opts back in

UnsafeCell<T> is !Sync even when T: Sync. That’s deliberate: if you could share an &UnsafeCell<T> across threads with no synchronization, two threads could race on the inside and you’d be back to UB.

That’s why Cell and RefCell are !Sync (single-thread only), and why Mutex<T> carries an explicit:

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unsafe impl<T: ?Sized + Send> Sync for Mutex<T> {}

The unsafe impl is the author asserting “I added the lock; now sharing across threads is sound.” The pattern recurs in every sync interior-mutability type — RwLock (tomorrow’s afternoon bite), OnceLock, LazyLock, the atomics. The shape is always: UnsafeCell<T> + an invariant + an unsafe impl Sync.

When to reach for it yourself

In application code: basically never. Cell, RefCell, Mutex, RwLock, OnceCell, OnceLock cover every common pattern and they’re already audited.

Real reasons to hold UnsafeCell directly: writing a new lock primitive, an arena that hands out &mut slots from &self, a lock-free data structure, FFI cells that mirror an existing C struct. If you’re not building infrastructure of that kind, the right move is to use a wrapper that already wraps it — and now you know what’s in the bottom of the box.

153. OnceCell<T> — Memoize Through &self Without Wrapping in RefCell

You have a parse(&self) -> &Heavy accessor that needs to compute once and cache. &self rules out a plain field assignment. Cell needs Copy. RefCell won’t lend the inside out past .borrow(). OnceCell<T> is the missing piece — write-once, &self API, hands back a real &T that lives as long as the cell.

The pain: &self memoization is awkward

Classic shape — an immutable-looking accessor that’s expensive on first call and free afterwards:

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use std::cell::RefCell;

struct DocSlow {
    raw: String,
    parsed: RefCell<Option<Vec<String>>>,
}

impl DocSlow {
    fn lines(&self) -> Vec<String> {
        let mut slot = self.parsed.borrow_mut();
        if slot.is_none() {
            *slot = Some(self.raw.lines().map(str::to_owned).collect());
        }
        slot.clone().unwrap() // can't return a borrow that escapes RefMut
    }
}

Two problems. We .clone() on every call because a Ref<'_, T> can’t outlive the borrow() it came from. And Option<Vec<String>> plus runtime borrow checking is overkill for “set this exactly once.”

The fix: OnceCell::get_or_init

OnceCell<T> stores at most one value. get_or_init runs the closure the first time it’s called and returns &T ever after — and that &T is tied to the lifetime of &self, so you can hand it back without cloning:

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use std::cell::OnceCell;

struct Doc {
    raw: String,
    parsed: OnceCell<Vec<String>>,
}

impl Doc {
    fn new(s: &str) -> Self {
        Self { raw: s.to_owned(), parsed: OnceCell::new() }
    }

    fn lines(&self) -> &[String] {
        self.parsed
            .get_or_init(|| self.raw.lines().map(str::to_owned).collect())
    }
}

let doc = Doc::new("one\ntwo\nthree");
assert_eq!(doc.lines(), &["one", "two", "three"]);
assert_eq!(doc.lines().len(), 3); // cached — closure does not run again

No Option, no clone, no borrow_mut. The closure fires exactly once even across multiple calls, and the returned slice is good for as long as the &Doc is.

When you want to decide later, not on first read

OnceCell doesn’t require a closure at the call site. Use set when initialization is driven by something outside the cell — a parsed CLI flag, a value computed by a sibling method, anything that doesn’t fit a self-contained || ...:

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use std::cell::OnceCell;

let cell: OnceCell<String> = OnceCell::new();
assert_eq!(cell.get(), None);

cell.set("loaded".into()).unwrap();
assert_eq!(cell.get(), Some(&"loaded".to_string()));

// Second set is rejected — the cell is full.
assert!(cell.set("nope".into()).is_err());

set returns Err(value) on the second call so you get your input back instead of dropping it on the floor. Reach for set when initialization is driven from outside; reach for get_or_init when it isn’t.

LazyCell<T, F>: when the closure is fixed at construction

If you already know how to build the value when you create the cell, LazyCell bakes the closure in and skips the Option-style API. The first deref runs it:

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use std::cell::LazyCell;

let tags: LazyCell<Vec<&'static str>> = LazyCell::new(|| {
    vec!["rust", "interior-mutability"]
});

assert_eq!(tags.len(), 2);   // closure runs here
assert_eq!(tags[0], "rust"); // cached

Rule of thumb: LazyCell when there is exactly one obvious way to compute the value and you want the cell to handle it; OnceCell when you need set from outside, or different get_or_init closures at different call sites.

Thread safety

Both types are !Sync — they’re the single-thread counterparts to OnceLock / LazyLock. If a static or a field shared across threads needs this pattern, swap to the sync versions. The API shape is intentionally the same; only the guarantees (and the cost) change.

152. RefCell<T> — When You Need to Actually Borrow the Inside

This morning’s Cell<T> only lets you swap whole values in and out. The moment you want to call .push() on the Vec inside, or hand out a &str slice of the String inside, you need a real &mut — and that’s exactly what RefCell<T> gives you, just with the aliasing rules checked at runtime instead of compile time.

The pain: Cell can’t lend the inside out

Cell<T> is great until you need to do anything to the value in place:

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use std::cell::Cell;

let log: Cell<Vec<String>> = Cell::new(Vec::new());

// We want: log.push("hit".into());
// We can't — Cell only gives us `get` (copy) and `set` (overwrite).
// `log.get_mut()` exists, but that needs `&mut Cell`, defeating the point.

// Workaround: take the Vec out, mutate, put it back.
let mut v = log.take();
v.push("hit".into());
log.set(v);

The take/mutate/replace dance works but it’s noisy, and any code that runs between take and set sees an empty Vec. For non-trivial data structures — a cache, an arena, a graph node — that “hole” is unworkable.

The fix: borrow() and borrow_mut()

RefCell<T> hands out actual references through &self. borrow() gives you a Ref<T> (deref to &T), borrow_mut() gives you a RefMut<T> (deref to &mut T):

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use std::cell::RefCell;

let log: RefCell<Vec<String>> = RefCell::new(Vec::new());

log.borrow_mut().push("first".into());
log.borrow_mut().push("second".into());

assert_eq!(log.borrow().len(), 2);
assert_eq!(log.borrow()[0], "first");

Both methods take &self, so this works behind an Rc, inside an Fn closure, in any field of a struct you only have a shared reference to. That’s the whole point of interior mutability — &self outside, &mut inside.

The invariant: same rules, just checked at runtime

RefCell enforces the exact same aliasing rule the compiler enforces statically: many &T xor one &mut T. Try to break it and it panics:

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use std::cell::RefCell;

let cell = RefCell::new(vec![1, 2, 3]);

let r1 = cell.borrow();
let r2 = cell.borrow();    // fine — multiple readers
assert_eq!(r1.len(), 3);
assert_eq!(r2.len(), 3);
drop((r1, r2));

let mut w = cell.borrow_mut();
w.push(4);
// cell.borrow();          // would panic: already mutably borrowed
drop(w);

assert_eq!(cell.borrow().len(), 4);

The panic message is already borrowed: BorrowMutError (or BorrowError). If you can’t guarantee statically that the borrows are well-nested, use try_borrow / try_borrow_mut — they return a Result instead of panicking, which is what you want inside a Drop impl or any code path that already might be re-entering itself.

A real pattern: shared mutable state through Rc<RefCell<_>>

The canonical use is sharing one piece of mutable state between several owners on a single thread — a cache, a config, an observer list:

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use std::cell::RefCell;
use std::rc::Rc;

#[derive(Default)]
struct Cache {
    hits: u32,
    keys: Vec<String>,
}

let cache = Rc::new(RefCell::new(Cache::default()));

let writer = Rc::clone(&cache);
let reader = Rc::clone(&cache);

writer.borrow_mut().keys.push("a".into());
writer.borrow_mut().hits += 1;

let snapshot = reader.borrow();
assert_eq!(snapshot.hits, 1);
assert_eq!(snapshot.keys, vec!["a".to_string()]);

Keep borrow_mut() scopes short — release the RefMut (let it drop) before calling any code that might try to borrow the same cell again. The most common “works in tests, panics in prod” bug with RefCell is a long-lived RefMut colliding with a callback that re-enters.

When to pick RefCell vs Cell

Cell<T> if swapping or copying whole values is enough — counters, flags, small Copy state. Zero overhead, no panic risk.

RefCell<T> when the inside is a real data structure you want to call methods on in place: Vec, String, HashMap, your own structs. You pay one extra word for the borrow flag and runtime checks, but you get the full &T / &mut T API back.

For multi-threaded shared state, neither of these works — both are !Sync. Reach for Mutex<T> (covered in tomorrow’s morning bite) or RwLock<T> instead.

151. Cell<T> — Interior Mutability Without the Borrow Checker Drama

You hand the same struct to two closures and both want to bump a counter. &mut fights you, RefCell introduces runtime borrow checks you don’t need — Cell<T> quietly mutates through a shared & reference, with zero overhead, as long as you only ever swap whole values in and out.

The pain: shared & and a counter

Two closures, one counter, one immutable reference:

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struct Counter {
    hits: u32,
}

let counter = Counter { hits: 0 };
let bump = || {
    // ERROR: cannot assign to `counter.hits`, which is behind a `&` reference
    // counter.hits += 1;
};
bump();

Fn closures only capture &, so a plain field is read-only. You could redesign for FnMut and a single owner, but the moment you have two observers or a callback registry, you need interior mutability.

The fix: Cell<T> mutates through &

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use std::cell::Cell;

struct Counter {
    hits: Cell<u32>,
}

let counter = Counter { hits: Cell::new(0) };

let bump = || counter.hits.set(counter.hits.get() + 1);
let read = || counter.hits.get();

bump();
bump();
bump();
assert_eq!(read(), 3);

Cell::new wraps the value; get returns a copy (so T: Copy for that method); set overwrites. Both take &self — no &mut anywhere — which is why this works inside Fn closures, inside Rc, inside any structure that hands out shared references.

The invariant: you can never borrow the inside

This is the single rule that makes Cell<T> sound without runtime checks: you cannot get a reference to the value inside, only copies and swaps. There is no cell.as_ref(), no cell.deref(). The compiler enforces this — there’s nothing to alias, so the optimizer is free to assume the inner value can’t change underneath an outstanding &T.

That’s also why Cell<T> is !Sync — fine for one thread, but two threads racing on set would tear the value. For threads, reach for Atomic* (scalars) or Mutex<T> (the rest).

replace and take work for non-Copy types too

get requires T: Copy, but Cell works with String, Vec, anything — you just have to move the value out instead of copying it:

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use std::cell::Cell;

let slot: Cell<String> = Cell::new(String::from("hello"));

// `replace` swaps in a new value, returns the old one.
let old = slot.replace(String::from("world"));
assert_eq!(old, "hello");

// `take` is `replace(Default::default())`.
let now: String = slot.take();
assert_eq!(now, "world");
assert_eq!(slot.into_inner(), ""); // default String

This is the trick people miss: Cell<Vec<T>> is perfectly usable for a shared, append-only-ish buffer — you just swap the whole Vec in and out.

When to pick Cell vs RefCell

Cell<T> if you only need to swap whole values: counters, flags, configuration knobs, small Copy state, or any field where replace/take is enough. Zero runtime overhead, no panic risk.

RefCell<T> (tomorrow afternoon’s bite) if you need to borrow the inside — call &mut self methods on a Vec in place, hand a &str slice to a caller, anything where copying or swapping the whole value would be wrong. You pay for runtime borrow tracking and risk a panic, but you get back the ability to use the value normally.

Default to Cell when it fits — it almost always does for simple shared-state tweaks, and the “no inner references” rule turns out to be exactly what you wanted anyway.

#150 May 2026

150. Vec::spare_capacity_mut — Fill a Vec From a Callback Without Zeroing It First

You reserve 4 KiB to read from a socket, and to hand the buffer over you first… write 4096 zeros. Vec::spare_capacity_mut exposes the reserved-but-uninitialized tail as &mut [MaybeUninit<u8>] so the callback writes straight into the allocation.

The pain: paying to overwrite

The intuitive fill-a-buffer pattern resizes the Vec first so the slice exists:

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let mut buf: Vec<u8> = Vec::with_capacity(8);
buf.resize(8, 0); // writes 8 zeros we're about to clobber

// Pretend this is `read(fd, buf.as_mut_ptr(), buf.len())`.
fill(&mut buf);

assert_eq!(buf, b"rustbite");

fn fill(out: &mut [u8]) {
    out.copy_from_slice(b"rustbite");
}

It works, but resize walks the whole tail writing zeros that the next line overwrites — a measurable cost for big reads, and pointless for types where “zero” isn’t even a valid value.

The fix: write into the uninitialized tail

Vec::spare_capacity_mut(&mut self) -> &mut [MaybeUninit<T>] hands you a slice covering exactly capacity - len slots. Write into them, then call set_len to tell the Vec they’re now initialized:

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use std::mem::MaybeUninit;

let mut buf: Vec<u8> = Vec::with_capacity(8);

// View the reserved-but-uninitialized tail.
let spare: &mut [MaybeUninit<u8>] = buf.spare_capacity_mut();
assert_eq!(spare.len(), 8);

// Write through the MaybeUninit pointer — no zeroing first.
for (slot, byte) in spare.iter_mut().zip(b"rustbite") {
    slot.write(*byte);
}

// Promise the Vec those 8 slots are now valid `u8`s.
unsafe { buf.set_len(8); }

assert_eq!(buf, b"rustbite");

spare_capacity_mut itself is safe — MaybeUninit<T> is the type that lets you hold “maybe garbage” without UB. The unsafe block is just the set_len call where you assert you really did initialize them.

Pairing with a real fill API

The standard pattern is “reserve, write, set_len”:

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use std::mem::MaybeUninit;

fn read_bytes(buf: &mut Vec<u8>, extra: usize, source: &[u8]) {
    buf.reserve(extra);

    let spare = buf.spare_capacity_mut();
    let n = extra.min(source.len()).min(spare.len());

    // Initialize the prefix we actually wrote.
    for i in 0..n {
        spare[i].write(source[i]);
    }

    // Only extend by what's been initialized.
    unsafe { buf.set_len(buf.len() + n); }
}

let mut v = vec![b'>', b' '];
read_bytes(&mut v, 8, b"rustbite");
assert_eq!(v, b"> rustbite");

The same shape works with read-style callbacks: cast the MaybeUninit<u8> slice to a raw pointer, hand it to C, and only extend len by the byte count the call returned. The bytes you didn’t write stay MaybeUninit — never read them.

When to reach for it

Reading from sockets, files, or FFI fill-style APIs into a Vec<u8> is the headline use case — every tokio and mio read path eventually bottoms out in this pattern. It’s also useful for non-Copy types where there’s no sensible default to seed with: image decoders writing Vec<Pixel>, audio decoders writing Vec<f32>, parser arenas writing Vec<Node>.

If you don’t need the spare capacity view — you’re building up element-by-element — Vec::push (or Vec::push_mut from bite 88) is still the right call. spare_capacity_mut is the tool for the moment you have an external writer that wants a flat buffer and you’d rather not pay to zero it first.

149. OnceLock::wait — Block a Thread Until Another One Initializes the Value

You have one thread loading a config and a handful of workers that can’t start until it’s ready. OnceLock::wait blocks until the value lands — no Condvar, no Mutex, no spin loop.

OnceLock<T> is a write-once cell: any number of threads can race to set it, but only the first wins. The usual reader API is get, which returns None until something has been stored:

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use std::sync::OnceLock;

let cell: OnceLock<u32> = OnceLock::new();
assert_eq!(cell.get(), None);
cell.set(42).unwrap();
assert_eq!(cell.get(), Some(&42));

That’s fine when the reader can keep working without the value. But what if the reader genuinely needs it now? Before Rust 1.86 you’d reach for a Mutex<Option<T>> plus a Condvar, or spin in a loop calling get — both more code and more bugs than the problem deserves.

OnceLock::wait parks the calling thread until the cell is initialized, then hands back &T:

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use std::sync::OnceLock;
use std::thread;
use std::time::Duration;

static CONFIG: OnceLock<String> = OnceLock::new();

thread::scope(|s| {
    // Producer: pretend this is loading config from disk.
    s.spawn(|| {
        thread::sleep(Duration::from_millis(20));
        CONFIG.set("rustbites=on".into()).unwrap();
    });

    // Consumers: block until the producer is done, then read.
    for _ in 0..3 {
        s.spawn(|| {
            let cfg: &String = CONFIG.wait();
            assert_eq!(cfg, "rustbites=on");
        });
    }
});

Every consumer gets back the same &StringOnceLock only ever holds one value, so the borrow is shared and lives as long as the cell does. No cloning, no Arc wrapping.

wait plays nicely with the existing init helpers. If you have a fallible initializer that some threads might run and others just want to await, mix get_or_init with wait:

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use std::sync::OnceLock;
use std::thread;

static GREETING: OnceLock<String> = OnceLock::new();

thread::scope(|s| {
    s.spawn(|| {
        // First thread here pays the cost; others get the cached value.
        GREETING.get_or_init(|| "hello, bites".into());
    });
    s.spawn(|| {
        // This thread doesn't care who initialized — just wants the value.
        assert_eq!(GREETING.wait(), "hello, bites");
    });
});

A few things worth knowing:

  • wait blocks forever if nobody ever calls set (or get_or_init succeeds). It’s a synchronization primitive, not a timeout — pair it with thread::spawn for a producer you actually control.
  • It’s &self, so any number of threads can wait on the same cell at once.
  • OnceLock<T> requires T: Send + Sync to be shared across threads, same as Arc.

For lazy-init that runs on first read, LazyLock is still the right tool. But when initialization happens elsewhere and other threads need to pause until it’s done, wait turns a Condvar dance into one method call.

148. Result::is_ok_and — Test the Variant and the Value in One Call

Checking “is this Ok, and is the inner value positive?” usually means a match or an if let. Result::is_ok_and collapses both questions into one line.

The pattern crops up everywhere: you have a Result, and you want a bool that says “yes, it succeeded and the value passes some test”. Without help, you write this:

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let parsed: Result<i32, &str> = "42".parse().map_err(|_| "bad input");

let big_enough = match &parsed {
    Ok(n) => *n > 10,
    Err(_) => false,
};
assert!(big_enough);

It works, but five lines for what reads as one question is a lot. Result::is_ok_and takes a closure that runs only on the Ok value, and returns false for any Err:

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let parsed: Result<i32, &str> = "42".parse().map_err(|_| "bad input");
assert!(parsed.is_ok_and(|n| n > 10));

The closure receives the value by move, so it works cleanly with references too:

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let res: Result<String, ()> = Ok(String::from("rustbites"));
assert!(res.as_ref().is_ok_and(|s| s.starts_with("rust")));

There’s a mirror method for the failure path. Result::is_err_and runs the predicate only on the Err value:

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let res: Result<i32, &str> = Err("missing field: name");
assert!(res.is_err_and(|e| e.contains("name")));

let ok: Result<i32, &str> = Ok(1);
assert!(!ok.is_err_and(|_| true));  // Ok short-circuits to false

Both methods short-circuit on the wrong variant without ever calling the closure, so you can put expensive checks in the predicate without worrying about wasted work on the unhappy path.

A nice place this shines is filtering an iterator of Results:

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let inputs = ["12", "hello", "7", "0", "99"];
let count = inputs
    .iter()
    .filter(|s| s.parse::<i32>().is_ok_and(|n| n > 5))
    .count();
assert_eq!(count, 3);  // "12", "7", and "99"

Same trick exists on Option as is_some_and and is_none_or — small surface area, big readability win.

147. Cell::as_array_of_cells — Mutate One Slot of a Cell-Wrapped Array

You have a Cell<[i32; 4]> and you want to bump element [2]. cell.get(), mutate the copy, cell.set(...) the whole thing back — for one slot? Cell::as_array_of_cells hands you &[Cell<i32>; 4] so each slot is its own little Cell.

The setup

Cell<T> gives you interior mutability for Copy types: &Cell<T> lets you swap the inner value through a shared reference. That’s lovely for a scalar, but the moment T is an array it becomes awkward — Cell only exposes get() and set() for the entire T:

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use std::cell::Cell;

fn main() {
    let scores = Cell::new([10, 20, 30, 40]);

    // Want to bump index 2. The natural reach...
    // scores[2] += 1;            // can't index through Cell
    // scores.get()[2] += 1;       // mutating a temporary copy — does nothing

    // The "real" old way: copy out, mutate, copy back.
    let mut arr = scores.get();
    arr[2] += 1;
    scores.set(arr);

    assert_eq!(scores.get(), [10, 20, 31, 40]);
}

Three lines and a full-array copy in each direction — just to add 1. It also doesn’t compose: if you wanted to hand a single slot to another function, you’d have to pass the whole Cell<[i32; 4]> plus an index, and trust the callee to put the array back.

Enter as_array_of_cells

Stabilized in Rust 1.91, Cell::as_array_of_cells reinterprets &Cell<[T; N]> as &[Cell<T>; N]:

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use std::cell::Cell;

fn main() {
    let scores = Cell::new([10, 20, 30, 40]);
    let slots: &[Cell<i32>; 4] = scores.as_array_of_cells();

    // Each element is now its own Cell — mutate one without touching the others.
    slots[2].set(slots[2].get() + 1);

    assert_eq!(scores.get(), [10, 20, 31, 40]);
}

No copy, no set of the whole array. The cast is free at runtime — Cell<T> is #[repr(transparent)] over T, so a Cell<[T; N]> and a [Cell<T>; N] have identical layout. The standard library just gives you the safe view of that fact.

Pair it with Cell::update

Cell::update is the obvious dance partner — read-modify-write in one call, on a single slot:

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use std::cell::Cell;

fn main() {
    let scores = Cell::new([10, 20, 30, 40]);

    for slot in scores.as_array_of_cells() {
        slot.update(|n| n * 2);
    }

    assert_eq!(scores.get(), [20, 40, 60, 80]);
}

That’s the loop you actually wanted. No RefCell, no runtime borrow check, no panic risk.

Hand out a single slot

Because each element is a real &Cell<T>, you can pass one slot to another function and let it mutate just that slot — the rest of the array is untouched and the caller keeps full access:

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use std::cell::Cell;

fn bump(slot: &Cell<i32>) {
    slot.update(|n| n + 100);
}

fn main() {
    let scores = Cell::new([10, 20, 30, 40]);
    let slots = scores.as_array_of_cells();

    bump(&slots[1]);
    bump(&slots[3]);

    assert_eq!(scores.get(), [10, 120, 30, 140]);
}

Try expressing that with cell.get() / cell.set() — you can’t, not without rebuilding the array on every call.

Slices too

There’s a sibling for unsized arrays: Cell::as_slice_of_cells turns &Cell<[T]> into &[Cell<T>]. Useful when the length isn’t known at compile time:

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use std::cell::Cell;

fn zero_out(buf: &Cell<[u8]>) {
    for slot in buf.as_slice_of_cells() {
        slot.set(0);
    }
}

fn main() {
    let buf: Cell<[u8; 5]> = Cell::new([1, 2, 3, 4, 5]);
    // &Cell<[u8; 5]> coerces to &Cell<[u8]> at the call site.
    zero_out(&buf);
    assert_eq!(buf.get(), [0, 0, 0, 0, 0]);
}

And as of Rust 1.95, both views also implement AsRef, so generic code can take impl AsRef<[Cell<T>]> and accept either form.

The signatures

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impl<T, const N: usize> Cell<[T; N]> {
    pub const fn as_array_of_cells(&self) -> &[Cell<T>; N];
}

impl<T> Cell<[T]> {
    pub fn as_slice_of_cells(&self) -> &[Cell<T>];
}

Both are zero-cost reinterpretations — pure type-system moves, no copying. Reach for them any time you find yourself doing the get / mutate / set two-step on a Cell that wraps a collection.

#146 May 2026

146. char::MAX_LEN_UTF8 — Size UTF-8 Buffers Without Magic Numbers

Every time you’ve called char::encode_utf8, you’ve written [0u8; 4] from memory. Rust 1.93 stabilises char::MAX_LEN_UTF8 so you don’t have to keep that magic number in your head.

The magic number you keep typing

encode_utf8 writes the UTF-8 bytes of a char into a &mut [u8] and returns a &mut str pointing at the written portion. The slice has to be big enough — which means knowing that the worst-case UTF-8 encoding is 4 bytes:

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let mut buf = [0u8; 4]; // why 4? because UTF-8, that's why
let s = '🦀'.encode_utf8(&mut buf);
assert_eq!(s, "🦀");

That 4 is correct but unexplained. Anyone reading your code has to either trust you or go re-derive the UTF-8 spec.

The named version

Rust 1.93 stabilises two constants on char:

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assert_eq!(char::MAX_LEN_UTF8, 4);
assert_eq!(char::MAX_LEN_UTF16, 2);

MAX_LEN_UTF8 is the maximum number of u8s encode_utf8 can ever write. MAX_LEN_UTF16 is the same for encode_utf16 (a surrogate pair = 2 u16s). Drop them straight into your buffer declarations:

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let mut buf = [0u8; char::MAX_LEN_UTF8];
let s = '🦀'.encode_utf8(&mut buf);
assert_eq!(s, "🦀");
assert_eq!(s.len(), 4);

let mut wide = [0u16; char::MAX_LEN_UTF16];
let w = '🦀'.encode_utf16(&mut wide);
assert_eq!(w.len(), 2);

Same behaviour, but the intent is self-documenting — the buffer is sized to hold exactly one char, by definition.

Sizing a buffer for N chars

Where this really pays off is when you’re computing a buffer for several chars on the stack:

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const N: usize = 8;
let mut buf = [0u8; N * char::MAX_LEN_UTF8];

let mut pos = 0;
for c in ['h', 'é', 'l', 'l', 'o'] {
    let s = c.encode_utf8(&mut buf[pos..]);
    pos += s.len();
}

assert_eq!(&buf[..pos], "héllo".as_bytes());

Now if Unicode ever expanded its scalar value range and MAX_LEN_UTF8 grew, your code would still be correct. With a hardcoded 4, you’d have a silent buffer overflow waiting to happen the day someone bumps the constant.

Why bother?

It’s a small change — one constant, no new behaviour. But it kills a real source of off-by-one bugs (people writing [0u8; 3] because they “only handle Latin-1”) and makes UTF-8 buffer code legible at a glance. Available since Rust 1.93 (January 2026).

#145 May 2026

145. Duration::from_nanos_u128 — Round-Trip Nanoseconds Without the u64 Cast

Duration::as_nanos() hands you a u128. Duration::from_nanos() takes a u64. You feed one into the other and the compiler yells at you — or worse, you cast and quietly truncate at 584 years. Rust 1.93 closed the loop with from_nanos_u128.

The mismatched-types papercut

The old API was asymmetric. Going from Duration to nanos was 128-bit:

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use std::time::Duration;

let d = Duration::new(7, 250);
let n: u128 = d.as_nanos();
assert_eq!(n, 7_000_000_250);

Coming back, though, you only got from_nanos(_: u64) — so the round-trip needed a cast:

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use std::time::Duration;

let n: u128 = Duration::new(7, 250).as_nanos();
let back = Duration::from_nanos(n as u64); // narrowing cast, fingers crossed
assert_eq!(back, Duration::new(7, 250));

That as u64 silently truncates anything past u64::MAX — and u64::MAX nanoseconds is roughly 584 years. Inside a calendar app you’ll never notice. Inside a scientific or simulation context, you absolutely will.

from_nanos_u128 matches as_nanos

Rust 1.93 stabilised Duration::from_nanos_u128, a const fn that takes the full 128-bit value:

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use std::time::Duration;

let n: u128 = Duration::new(7, 250).as_nanos();
let back = Duration::from_nanos_u128(n);
assert_eq!(back, Duration::new(7, 250));

Same shape on both sides. No cast, no truncation, no silent wraparound.

Past the 584-year ceiling

Where the new constructor actually earns its keep is when you have nanoseconds counts that wouldn’t fit in a u64:

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use std::time::Duration;

// 10^24 ns is ~31.7 million years — well past u64::MAX nanos
let nanos: u128 = 10_u128.pow(24) + 321;
let d = Duration::from_nanos_u128(nanos);

assert_eq!(d.as_secs(), 10_u64.pow(15));
assert_eq!(d.subsec_nanos(), 321);
assert_eq!(d.as_nanos(), nanos); // exact round-trip

Duration itself stores (u64 seconds, u32 nanos), so it has plenty of room — the old from_nanos was just bottlenecked by its argument type.

One thing to watch

from_nanos_u128 panics if you hand it more than Duration::MAX worth of nanoseconds. If you’re pulling values from user input or untrusted sources, guard the upper bound yourself — there isn’t a checked_from_nanos_u128 (yet).

When to reach for it

Use from_nanos_u128 whenever you already have a u128 of nanoseconds — typically because it came out of as_nanos, an arithmetic accumulator, or a high-precision external clock. Stick with the plain from_nanos(_: u64) for short-lived timeouts and durations measured in milliseconds or seconds; the u64 is plenty.

Stabilised in Rust 1.93 (January 2026). Available as const fn, so it works in const contexts too.

#143 May 2026

143. Vec::dedup_by_key — Collapse Consecutive Duplicates by a Derived Key

Vec::dedup() only collapses runs that are exactly equal. When you care about a derived attribute — the minute on a timestamp, the domain in an email, the first letter of a word — reach for dedup_by_key.

The plain dedup() is strict: two adjacent elements are only merged if == says so.

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let mut nums = vec![1, 1, 2, 3, 3, 3, 2, 5];
nums.dedup();
assert_eq!(nums, vec![1, 2, 3, 2, 5]);

But often “duplicate” really means “shares some property with its neighbour.” dedup_by_key takes a closure that maps each element to a key, then keeps the first of every consecutive run whose keys match:

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let mut nums = vec![1, 3, 5, 2, 4, 7, 6, 8];
nums.dedup_by_key(|n| *n % 2);
assert_eq!(nums, vec![1, 2, 7, 6]);

1, 3, 5 all have key 1 → keep 1. Then 2, 4 have key 0 → keep 2. Then 7 has key 1 → keep it. Then 6, 8 have key 0 → keep 6.

The practical case: log lines already in time order, and you want one representative per minute.

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let mut lines = vec![
    "12:01 GET /a".to_string(),
    "12:01 GET /b".to_string(),
    "12:01 POST /c".to_string(),
    "12:02 GET /d".to_string(),
    "12:02 GET /e".to_string(),
    "12:03 PATCH /f".to_string(),
];

lines.dedup_by_key(|line| line[..5].to_string());

assert_eq!(lines.len(), 3);
assert_eq!(lines[0], "12:01 GET /a");
assert_eq!(lines[1], "12:02 GET /d");
assert_eq!(lines[2], "12:03 PATCH /f");

Two things worth remembering. First, it only looks at adjacent pairs — if you need full uniqueness, pair it with sort_by_key first. Second, if your equivalence isn’t expressible as a key (e.g. “values within 0.1 of each other”), there’s a sibling dedup_by that takes |a, b| -> bool directly. All three are in-place, allocation-free, and run in linear time.

#144 May 2026

144. Vec::into_raw_parts — Hand a Vec to C Without the ManuallyDrop Dance

You want to give a Rust-allocated buffer to C and re-take it later. That means handing over (ptr, len, capacity) — and historically, prying those three out of a Vec without freeing the allocation meant wrapping the vector in ManuallyDrop first. Rust 1.93 stabilises Vec::into_raw_parts, a single safe call that returns the triple and consumes the Vec for you.

The pain: extracting parts while suppressing drop

The classic recipe leaks the Vec’s destructor on purpose so the C side owns the memory. You need three reads and a guard to keep Drop from racing the allocator:

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use std::mem::ManuallyDrop;

let v: Vec<u32> = vec![10, 20, 30];

let mut me = ManuallyDrop::new(v);
let ptr = me.as_mut_ptr();
let len = me.len();
let cap = me.capacity();

assert_eq!(unsafe { *ptr.add(1) }, 20);
assert_eq!((len, cap), (3, 3));

// Hand (ptr, len, cap) to C here.
// Reclaim it later with Vec::from_raw_parts to free the allocation.
let _reclaimed = unsafe { Vec::from_raw_parts(ptr, len, cap) };

It works, but the ManuallyDrop wrapper exists only to keep the destructor from running. Forget it, write mem::forget(v) in the wrong order, or read capacity() after the move and you’ve got a use-after-free or a leak.

The fix: one safe call, three return values

Vec::into_raw_parts(self) -> (*mut T, usize, usize) consumes the Vec, hands you the pointer-length-capacity triple, and leaves the allocation alive for you to manage:

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let v: Vec<u32> = vec![10, 20, 30];
let (ptr, len, cap) = v.into_raw_parts();

assert_eq!((len, cap), (3, 3));
assert_eq!(unsafe { *ptr.add(1) }, 20);

// Reclaim and free at the end (or hand to C and have C call back).
let reclaimed = unsafe { Vec::from_raw_parts(ptr, len, cap) };
assert_eq!(reclaimed, vec![10, 20, 30]);

No wrapper, no separate field reads, no chance of accidentally calling a &self method after the move. The method is const, too.

String::into_raw_parts follows the same shape

String gets the same treatment in 1.93. The triple is (*mut u8, usize, usize), which is what String::from_raw_parts wants back:

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let s = String::from("hello");
let (ptr, len, cap) = s.into_raw_parts();

assert_eq!((len, cap), (5, 5));

let rebuilt = unsafe { String::from_raw_parts(ptr, len, cap) };
assert_eq!(rebuilt, "hello");

The pairing is the point: into_raw_parts is safe (the Vec/String is gone, no aliasing exists yet), and from_raw_parts is unsafe (you’re asserting the triple came from a matching allocator with the right layout). The split keeps the unsafety where it actually lives.

When to reach for it

Any FFI boundary where the C side will hold the buffer for a while: graphics buffers, codec frames, command queues, anything with an extern "C" fn free_my_thing(ptr, len, cap) callback. Also handy when you’re building your own typed handles around a raw allocation — Box::into_raw covers the single-value case; into_raw_parts covers the variable-length one.

If you only need the pointer and nothing will ever reclaim the allocation, Vec::leak is still the shorter call. Reach for into_raw_parts the moment the capacity matters — i.e. anyone, anywhere, might want to give the memory back.

142. Path::absolute — Make a Path Absolute Without Touching the Filesystem

Need an absolute path for a log line, an error message, or a “files will land here” preview — but the file might not exist yet? fs::canonicalize will refuse. std::path::absolute (stable since Rust 1.79) gives you the absolute form without ever opening the disk.

The canonicalize trap

The instinctive choice for “turn this into a full path” is fs::canonicalize. It works — until it doesn’t:

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use std::fs;

let p = fs::canonicalize("does_not_exist.toml");
assert!(p.is_err()); // canonicalize requires the path to exist

It also resolves symlinks and walks every .. component against the real directory tree. That’s the right behaviour for finding a file. It’s wrong for printing one back to the user before you’ve written it.

path::absolute does the syntactic thing

std::path::absolute joins a relative path with the current working directory and normalises the result. No syscalls beyond looking up the CWD; the file doesn’t have to exist:

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use std::path::absolute;

let p = absolute("config/app.toml").unwrap();
assert!(p.is_absolute());
// e.g. "/work/config/app.toml" — without ever opening anything

If the path is already absolute it’s left alone (modulo platform-specific normalisation). .. components are resolved syntactically, without consulting the filesystem for what each directory really is.

Useful for nicely-formatted output

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use std::path::{absolute, PathBuf};

fn describe(relative: &str) -> String {
    let abs: PathBuf = absolute(relative).unwrap();
    format!("writing to {}", abs.display())
}

let msg = describe("logs/today.log");
assert!(msg.contains("logs/today.log"));
assert!(msg.starts_with("writing to "));

When you’re echoing the user’s choices back to them, or building helpful error messages, this is usually what you want — the path they meant, not whatever the filesystem turned it into.

When to reach for it

Use path::absolute for log lines, config previews, default-location calculations, or any “this is where it will go” message about a file that might not exist yet. Stick with fs::canonicalize when you actually want to follow symlinks and prove the file exists — that’s its job.

Stabilised in Rust 1.79 (June 2024).

141. BinaryHeap::into_sorted_vec — Heapsort in One Call

You stuffed everything into a BinaryHeap to keep “biggest first” cheap, but at the end of the day you want a sorted Vec to hand to the next stage. The pop-loop you almost wrote is built into the type — into_sorted_vec consumes the heap and gives you the ascending-order Vec for free.

The pop-loop

The naive shape: drain the heap with pop and push into a fresh Vec. Pops come out largest-first, so to get ascending order you have to either reverse at the end or push to the front — both add steps for no reason.

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use std::collections::BinaryHeap;

let heap = BinaryHeap::from([3, 1, 4, 1, 5, 9, 2, 6, 5]);

let mut out = Vec::with_capacity(heap.len());
let mut heap = heap;
while let Some(x) = heap.pop() {
    out.push(x);
}
out.reverse(); // pops came out descending — flip them

assert_eq!(out, [1, 1, 2, 3, 4, 5, 5, 6, 9]);

Five lines and a temporary out for what is, in the end, “sort this thing.” The heap is already a heap — you’ve paid for the structure, now you’re throwing it away.

The one-liner

BinaryHeap::into_sorted_vec(self) -> Vec<T> does exactly the drain-and-sort the heap was built for, in O(n log n), and reuses the heap’s allocation as the output Vec. No reverse(), no spare buffer.

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use std::collections::BinaryHeap;

let heap = BinaryHeap::from([3, 1, 4, 1, 5, 9, 2, 6, 5]);
let sorted = heap.into_sorted_vec();

assert_eq!(sorted, [1, 1, 2, 3, 4, 5, 5, 6, 9]);

Ascending order, because that’s almost always what the next consumer wants. BinaryHeap is a max-heap, so internally into_sorted_vec repeatedly sifts the max to the end of the backing buffer — the same in-place heapsort you’d write by hand.

Top-k without sorting the whole input

Where this really pays off: “I want the largest k of n items.” Push everything into the heap with Reverse to make it a min-heap-of-size-k, then call into_sorted_vec once at the end:

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use std::cmp::Reverse;
use std::collections::BinaryHeap;

fn top_k(items: impl IntoIterator<Item = i32>, k: usize) -> Vec<i32> {
    let mut heap: BinaryHeap<Reverse<i32>> = BinaryHeap::with_capacity(k);
    for x in items {
        if heap.len() < k {
            heap.push(Reverse(x));
        } else if let Some(mut min) = heap.peek_mut() {
            if x > min.0 { *min = Reverse(x); }
        }
    }
    heap.into_sorted_vec()
        .into_iter()
        .map(|Reverse(x)| x)
        .collect()
}

assert_eq!(top_k([7, 3, 9, 1, 8, 2, 6], 3), [9, 8, 7]);

into_sorted_vec returns the Reverse-wrapped items in ascending Reverse order, which is descending by inner value — strip the wrapper with map and the largest of the top-k comes out first, exactly the order a “top” list wants.

When to reach for it

Any time the loop you’re about to write is “pop until empty, collect into Vec.” into_sorted_vec is the same algorithm — heapsort — with one fewer allocation and one fewer reverse. The heap was already half of a sort; let it finish the job.

#140 May 2026

140. slice::as_array — Lock a Slice Into a Fixed-Size Array Reference

A function hands you &[u8] but the next step wants &[u8; 32]. The old answer was <&[u8; 32]>::try_from(slice) — a turbofish-and-trait dance for what is really just a length check. Rust 1.93 stabilises slice::as_array, the method-call version that does exactly that.

The pain: TryFrom for what should be a method

Cryptography APIs, parsers, and FFI all funnel data through &[T], but consumers usually want a concrete &[T; N] so they can index without bounds checks or pattern-match the fields out. The canonical conversion looks like this:

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use std::convert::TryFrom;

fn fingerprint(digest: &[u8]) -> Result<&[u8; 32], &'static str> {
    <&[u8; 32]>::try_from(digest).map_err(|_| "expected 32 bytes")
}

let bytes = [0u8; 32];
assert!(fingerprint(&bytes[..]).is_ok());
assert!(fingerprint(&bytes[..16]).is_err());

It works, but every time you have to remember to write <&[u8; 32]>::try_from(...) with the reference inside the turbofish — write <[u8; 32]>::try_from instead and you’ll get an owned array (and a T: Clone bound) that you didn’t ask for. The error message when a coworker gets the form wrong is its own little adventure.

The fix: a method on [T] that returns Option<&[T; N]>

<[T]>::as_array::<N> is a plain method call. The length check is the same — the whole slice must be exactly N long — but the call site reads like every other slice method:

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let bytes: &[u8] = &[0u8; 32];

let arr: Option<&[u8; 32]> = bytes.as_array();
assert!(arr.is_some());

let short: &[u8] = &bytes[..16];
assert!(short.as_array::<32>().is_none());

No TryFrom import, no angle-brackets-around-a-reference. The turbofish goes on the method, where it belongs, and the return type is Option — which is what you wanted anyway when the conversion can fail.

as_mut_array for the writeable side

The same trick works through &mut [T]. Useful when you’ve been handed a sub-slice of a buffer and want to write a fixed-size record into it without indexing each field:

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let mut buf = [0u8; 16];
let header: &mut [u8; 4] = (&mut buf[..4]).as_mut_array().unwrap();
*header = *b"RIFF";

assert_eq!(&buf[..4], b"RIFF");

as_array and as_mut_array mirror <&[T; N]>::try_from / <&mut [T; N]>::try_from exactly — same semantics, fewer keystrokes, better error type.

Pair it with split_first_chunk for parsers

If you only need the first N bytes (and want to keep the rest), reach for split_first_chunk::<N> from the existing family. Use as_array when the slice is supposed to be exactly the right length — return values from a digest() call, decoded base64 of known size, FFI buffers carved to spec:

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fn parse_ipv4(bytes: &[u8]) -> Option<[u8; 4]> {
    bytes.as_array::<4>().copied()
}

assert_eq!(parse_ipv4(&[192, 168, 1, 1]), Some([192, 168, 1, 1]));
assert_eq!(parse_ipv4(&[10, 0, 0]), None);

.copied() turns &[u8; 4] into [u8; 4] when you want an owned array — works because [u8; 4]: Copy.

When to reach for it

Anywhere you currently write <&[T; N]>::try_from(slice).ok() or slice.try_into().ok() and have to annotate the type to steer the inference. as_array is shorter, the failure case is an Option instead of a Result<_, TryFromSliceError>, and the turbofish sits where every other generic slice method puts it. Small ergonomics, but you’ll write it ten times this week.

#139 May 2026

139. HashMap::extract_if — Drain Matching Entries Without Losing Them

HashMap::retain discards what it removes. When you actually want those values — to log them, ship them, or move them elsewhere — you used to clone the keys and double-walk the map. extract_if, stable since Rust 1.88, hands them back as an iterator.

retain throws the babies out with the bathwater

retain is the natural “filter a map in place” call, but its return type is (). The entries it kicks out vanish:

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use std::collections::HashMap;

let mut sessions: HashMap<&str, u32> = HashMap::from([
    ("alice", 12),
    ("bob",    0),
    ("carol",  3),
    ("dan",    0),
]);

sessions.retain(|_user, hits| *hits > 0);

assert_eq!(sessions.len(), 2);
// Who got dropped? Gone. We can't tell anyone.

If you wanted to log the expired sessions, notify their owners, or forward them to another map, retain isn’t enough. The textbook workaround is collect-then-remove:

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use std::collections::HashMap;

let mut sessions: HashMap<String, u32> = HashMap::from([
    ("alice".into(), 12),
    ("bob".into(),    0),
    ("carol".into(),  3),
    ("dan".into(),    0),
]);

let to_evict: Vec<String> = sessions
    .iter()
    .filter(|(_, hits)| **hits == 0)
    .map(|(k, _)| k.clone())          // forced clone to break the self-borrow
    .collect();

let mut evicted = Vec::new();
for k in to_evict {
    if let Some(v) = sessions.remove(&k) {
        evicted.push((k, v));
    }
}

assert_eq!(evicted.len(), 2);

Two passes, a throwaway Vec<K>, and a hard K: Clone requirement just so the borrow checker stops yelling.

extract_if is one pass and gives the values back

HashMap::extract_if(pred) returns an iterator that yields (K, V) for every entry whose predicate fires true, removing them from the map as it goes:

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use std::collections::HashMap;

let mut sessions: HashMap<&str, u32> = HashMap::from([
    ("alice", 12),
    ("bob",    0),
    ("carol",  3),
    ("dan",    0),
]);

let evicted: HashMap<&str, u32> =
    sessions.extract_if(|_user, hits| *hits == 0).collect();

assert_eq!(evicted.len(), 2);
assert_eq!(sessions.len(), 2);
assert!(sessions.contains_key("alice"));
assert!(sessions.contains_key("carol"));

No clone, no temporary Vec, no second walk. The removed entries land in whatever collection you choose — another HashMap, a Vec<(K, V)>, a channel, a log line. HashMap order isn’t guaranteed, but neither was it before.

The predicate gets &mut V, so it can edit survivors

The closure signature is FnMut(&K, &mut V) -> bool. Return true to extract, false to keep — and because you’ve got &mut V in hand either way, you can update entries you choose to leave behind:

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use std::collections::HashMap;

let mut scores: HashMap<&str, i32> = HashMap::from([
    ("alice", 85),
    ("bob",   42),
    ("carol", 91),
    ("dan",   30),
]);

let failing: HashMap<&str, i32> = scores
    .extract_if(|_name, score| {
        if *score < 50 {
            true             // pull this one out
        } else {
            *score += 5;     // bump the survivors
            false            // keep them
        }
    })
    .collect();

assert_eq!(failing.len(), 2);
assert_eq!(scores[&"alice"], 90);
assert_eq!(scores[&"carol"], 96);

One traversal, three jobs: filter, remove-and-collect, and patch in place.

Drop the iterator early and the rest stay

The iterator only removes entries it has visited. If you stop iterating — break, take(n), drop the iterator — anything not yet inspected stays in the map untouched:

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use std::collections::HashMap;

let mut nums: HashMap<i32, i32> = (0..10).map(|i| (i, i)).collect();

// Pull at most two even entries out, then stop.
let pulled: Vec<(i32, i32)> = nums
    .extract_if(|_, v| *v % 2 == 0)
    .take(2)
    .collect();

assert_eq!(pulled.len(), 2);
// 10 - 2 = 8 left, regardless of which evens were taken.
assert_eq!(nums.len(), 8);

When to reach for it

Whenever you’d otherwise write the clone-keys-and-double-pass shuffle: expiring sessions, draining tasks that hit a deadline, partitioning a cache by tenant, moving “done” items into an archive map. HashSet::extract_if is the same idea for sets — predicate is FnMut(&T) -> bool. The mental rule: reach for retain when the discarded entries are truly garbage, and extract_if when they still have a job to do.

#138 May 2026

138. iter::zip — Parallel Iteration Without the Method-Chain Dance

a.iter().zip(b.iter()) makes one collection the star and the other an awkward sidekick. std::iter::zip puts them on equal footing — two arguments, same indent, no method-chain twist.

The Problem

You have two collections that line up element-for-element. Pair them and walk through together:

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let names = ["Alice", "Bob", "Carol"];
let ages  = [30, 25, 40];

for (name, age) in names.iter().zip(ages.iter()) {
    println!("{name}: {age}");
}

Functionally fine — but names is the subject of the chain while ages is shoved into an argument slot. When both collections are equally important to the loop, the asymmetry hides intent. Worse, swap one side for an owned value and the call site gets uglier: names.iter().zip(ages.into_iter()).

The Free Function

std::iter::zip is the same combinator, only as a free function. Both iterables sit at the same level:

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use std::iter::zip;

let names = ["Alice", "Bob", "Carol"];
let ages  = [30, 25, 40];

for (name, age) in zip(&names, &ages) {
    println!("{name}: {age}");
}

let pairs: Vec<(&&str, &i32)> = zip(&names, &ages).collect();
assert_eq!(pairs.len(), 3);
assert_eq!(*pairs[0].0, "Alice");
assert_eq!(*pairs[0].1, 30);

Both arguments are IntoIterator, so you can pass owned values, slices, or references directly — no per-side .iter() decoration to keep balanced.

Mixing Owned and Borrowed

The asymmetry of the method form shows up most when one side is owned:

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use std::iter::zip;

let labels = vec!["x", "y", "z"];
let values: [i32; 3] = [10, 20, 30];

// No .iter() / .into_iter() bookkeeping — zip handles both.
let total: i32 = zip(labels, values).map(|(_, v)| v).sum();
assert_eq!(total, 60);

Same IntoIterator rules as a for loop: arrays by value yield items by value, references yield references.

Same Semantics as Iterator::zip

iter::zip(a, b) is exactly a.into_iter().zip(b). It stops at the shorter side and yields (A, B) tuples — no surprises:

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use std::iter::zip;

let short = [1, 2];
let long  = [10, 20, 30, 40];

let pairs: Vec<(i32, i32)> = zip(short, long).collect();
assert_eq!(pairs, [(1, 10), (2, 20)]);

When to Reach for It

Use iter::zip when both sides are equal citizens of the loop — typical of parallel data, column-by-column processing, or test setup where inputs and expected outputs travel together. Stick with the method form when you’re already deep in an iterator chain and zipping is just one more step. Stable since Rust 1.59.

#137 May 2026

137. Vec::retain_mut — Filter and Edit In Place, In One Pass

retain decides who stays, but its closure only sees &T — so when you also want to tweak the survivors, you end up making two passes. retain_mut collapses that into one.

The Problem

Imagine a Vec<Job> where each surviving job needs its retry counter bumped on the way through. With plain retain, the closure gets a shared reference, so the mutation has to happen separately:

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struct Job { id: u32, retries: u32, done: bool }

let mut jobs = vec![
    Job { id: 1, retries: 0, done: false },
    Job { id: 2, retries: 0, done: true  },
    Job { id: 3, retries: 0, done: false },
];

// Pass 1: bump the survivors.
for j in jobs.iter_mut().filter(|j| !j.done) {
    j.retries += 1;
}
// Pass 2: drop the finished ones.
jobs.retain(|j| !j.done);

Two passes, two intent-leaks, and the predicate is duplicated. Refactor one and forget to refactor the other — welcome to a subtle bug.

retain_mut: One Pass, Mutable Access

Vec::retain_mut gives the closure a &mut T. Edit the element and return whether to keep it — same call:

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struct Job { id: u32, retries: u32, done: bool }

let mut jobs = vec![
    Job { id: 1, retries: 0, done: false },
    Job { id: 2, retries: 0, done: true  },
    Job { id: 3, retries: 0, done: false },
];

jobs.retain_mut(|j| {
    if j.done { return false; }
    j.retries += 1;
    true
});

assert_eq!(jobs.len(), 2);
assert_eq!(jobs[0].id, 1);
assert_eq!(jobs[0].retries, 1);
assert_eq!(jobs[1].id, 3);
assert_eq!(jobs[1].retries, 1);

One scan, no duplicated predicate, and the order of the kept elements is preserved.

The Sneaky Trick: Mutate-Then-Check

The mutation happens before the closure returns, so a retain_mut can also normalize values and then filter on the normalized form:

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let mut words = vec![
    String::from("  hello "),
    String::from("   "),
    String::from(" Rust"),
];

words.retain_mut(|s| {
    *s = s.trim().to_string();
    !s.is_empty()
});

assert_eq!(words, vec!["hello", "Rust"]);

Trim everything, then drop the blanks — without ever allocating a second Vec.

When to Reach for It

Use retain_mut whenever the keep/drop decision and an in-place edit travel together. Same goes for VecDeque::retain_mut and LinkedList::retain_mut — same shape, same payoff. If the closure is purely read-only, stick with retain and keep the intent narrow.

#136 May 2026

136. LazyLock::force_mut — Mutate a Lazy Value Without Wrapping It in a Mutex

Got a LazyLock you own outright? With force_mut (stable in Rust 1.94), you can initialize and mutate it through &mut LazyLock — no Mutex, no RwLock, no locking dance.

The Problem

LazyLock is perfect for one-time initialization, but its Deref only hands out a shared reference. If you want to mutate the inner value, the textbook move is to wrap it in Mutex<T>:

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use std::sync::{LazyLock, Mutex};

static CACHE: LazyLock<Mutex<Vec<String>>> = LazyLock::new(|| Mutex::new(Vec::new()));

fn add(s: String) {
    CACHE.lock().unwrap().push(s);
}

That’s the right answer for shared global state. But when you actually have exclusive ownership — a struct field, a builder, a test fixture — the Mutex is pure ceremony.

force_mut: Init and Mutate in One Step

If you have &mut LazyLock<T>, you already have exclusive access. Synchronization is moot. force_mut exploits that: it triggers initialization if needed, then hands you a plain &mut T.

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use std::sync::LazyLock;

let mut tags = LazyLock::new(|| vec!["rust"]);

let v: &mut Vec<&'static str> = LazyLock::force_mut(&mut tags);
v.push("std");
v.push("lazy");

assert_eq!(*v, vec!["rust", "std", "lazy"]);

No Mutex, no .lock().unwrap(), no poisoning to handle. The init closure runs at most once, and from then on you can mutate freely through &mut.

get_mut: Mutate Only If Already Initialized

The sibling, LazyLock::get_mut, returns Option<&mut T> and won’t trigger init:

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use std::sync::LazyLock;

let mut counts: LazyLock<Vec<u32>> = LazyLock::new(|| vec![0u32; 8]);

// Hasn't been touched yet — get_mut returns None.
assert!(LazyLock::get_mut(&mut counts).is_none());

// Force initialization explicitly:
LazyLock::force_mut(&mut counts)[0] = 42;

// Now it's available without re-running the closure:
let slot = LazyLock::get_mut(&mut counts).unwrap();
slot[1] = 99;

assert_eq!(*slot, [42, 99, 0, 0, 0, 0, 0, 0]);

Useful when you’d rather skip work entirely if it never happened — “flush the cache on shutdown, but only if anyone built it.”

When to Reach for It

Pick force_mut whenever you own the LazyLock outright and would otherwise wrap it in Mutex<T> just to get mutation. It’s perfect for struct fields, test fixtures, builders, and anything else where you already have &mut to the container.

LazyCell::force_mut and LazyCell::get_mut ship the same shape for the single-thread cell — pick whichever matches your sync story.

#135 May 2026

135. str::strip_prefix — Trim a Prefix Without Slicing by Hand

Reaching for if s.starts_with("foo") { &s[3..] } to drop a prefix? That’s an off-by-one waiting to happen — and a panic the first time someone passes in an emoji. str::strip_prefix returns Option<&str> and gets it right by construction.

The Problem

You want the part of a string after a known prefix:

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let s = "Bearer abc123";

let token = if s.starts_with("Bearer ") {
    &s[7..]
} else {
    s
};
assert_eq!(token, "abc123");

Two things wrong here: the literal 7 has to stay in sync with the literal "Bearer ", and slicing by byte offset will panic if the prefix ever lands mid-codepoint. Even using prefix.len() only saves you from the first bug, not the second when the prefix is dynamic.

The Fix: strip_prefix

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let s = "Bearer abc123";

let token = s.strip_prefix("Bearer ").unwrap_or(s);
assert_eq!(token, "abc123");

strip_prefix returns Some(&str) if the prefix matched (giving you the rest), or None if it didn’t. No magic numbers, no slicing, no UTF-8 footguns — the prefix length comes from the prefix itself.

Pattern Matching, Not Just Strings

The argument is anything implementing Pattern, so a char, a closure, or even an array of chars all work:

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assert_eq!("-x".strip_prefix('-'), Some("x"));
assert_eq!("x".strip_prefix('-'), None);

// Trim any leading whitespace character
let s = "\t  hello".strip_prefix(|c: char| c.is_whitespace());
assert_eq!(s, Some("  hello"));

Note this only strips one match — the char form doesn’t loop. For “strip every leading space,” reach for trim_start_matches.

The Twin: strip_suffix

Same shape, other end:

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let filename = "report.tar.gz";

let stem = filename.strip_suffix(".gz").unwrap_or(filename);
assert_eq!(stem, "report.tar");

Together they replace half the manual &s[..s.len() - 3] arithmetic you’d otherwise write — and the Option return makes “did it actually have the prefix?” a value, not a separate starts_with call.

#134 May 2026

134. Iterator::find_map — Find and Transform in One Pass

Looking for the first element that matches and needs to come back as something else? Skip the filter_map(...).next() two-step — find_map says it in one call.

The Problem

You have an iterator and want the first item that satisfies a condition plus the value derived from it. The hand-rolled version is a for loop with a mutable binding and a break:

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let inputs = ["abc", "12", "def", "34"];

let mut first: Option<i32> = None;
for s in &inputs {
    if let Ok(n) = s.parse::<i32>() {
        first = Some(n);
        break;
    }
}
assert_eq!(first, Some(12));

You can compress it with filter_map(...).next():

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let first: Option<i32> = inputs
    .iter()
    .filter_map(|s| s.parse::<i32>().ok())
    .next();
assert_eq!(first, Some(12));

It’s shorter, but what you actually mean — find the first one — is buried inside “filter everything, then take one.”

The Fix: find_map

Iterator::find_map takes a closure returning Option<U> and returns the first Some(U) it produces — short-circuiting as soon as the closure says yes:

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let first: Option<i32> = inputs
    .iter()
    .find_map(|s| s.parse::<i32>().ok());
assert_eq!(first, Some(12));

Same short-circuit behavior as find, but the closure does the transformation too — no separate map step on the result.

Where It Earns Its Keep

Looking up the first input that’s in a small table:

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fn level(name: &str) -> Option<u8> {
    match name {
        "trace" => Some(0),
        "debug" => Some(1),
        "info"  => Some(2),
        _ => None,
    }
}

let inputs = ["??", "huh", "info", "debug"];
let first = inputs.iter().find_map(|s| level(s));
assert_eq!(first, Some(2));

Pulling the first error out of a batch of Results without losing the message:

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let results: Vec<Result<i32, &str>> = vec![Ok(1), Ok(2), Err("bad row"), Ok(3)];

let first_err = results.iter().find_map(|r| r.as_ref().err().copied());
assert_eq!(first_err, Some("bad row"));

Anywhere you catch yourself writing .filter_map(...).next() or a manual loop with break, find_map says the same thing with less noise.

#133 May 2026

133. slice::rotate_left — Cycle Elements Through a Slice Without a Second Buffer

Need the first few elements to wrap around to the back? slice.rotate_left(n) cycles them through in place — no scratch Vec, no clever indexing, no borrow checker drama.

The Problem

Rotating a slice “the obvious way” means allocating a temporary, copying things twice, and being very careful about ranges:

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fn rotate_left_manual(v: &mut Vec<i32>, n: usize) {
    let mut tmp: Vec<i32> = v[..n].to_vec();
    v.drain(..n);
    v.append(&mut tmp);
}

let mut data = vec![1, 2, 3, 4, 5];
rotate_left_manual(&mut data, 2);
assert_eq!(data, vec![3, 4, 5, 1, 2]);

It works, but it allocates and only runs on Vec. The moment you only have a &mut [T] — a window inside a larger buffer, say — to_vec/drain aren’t options at all.

After: rotate_left and rotate_right

Every slice already knows how to rotate itself in place:

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let mut data = [1, 2, 3, 4, 5];
data.rotate_left(2);
assert_eq!(data, [3, 4, 5, 1, 2]);

let mut data = [1, 2, 3, 4, 5];
data.rotate_right(2);
assert_eq!(data, [4, 5, 1, 2, 3]);

rotate_left(n) moves the first n elements to the end; rotate_right(n) moves the last n to the front. Both run in O(len) with zero allocations, and they work on any &mut [T] — arrays, vector slices, sub-ranges of bigger buffers.

Where It Earns Its Keep

Round-robin scheduling: the first runner takes a turn, then moves to the back of the line.

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let mut queue = ["alice", "bob", "carol", "dave"];

for _ in 0..queue.len() {
    println!("now serving: {}", queue[0]);
    queue.rotate_left(1);
}
// queue is back to its original order
assert_eq!(queue, ["alice", "bob", "carol", "dave"]);

Scrolling a fixed-size display buffer — drop the oldest row, leave a slot at the end for the newest:

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let mut rows = [10, 20, 30, 40];
rows.rotate_left(1);
rows[rows.len() - 1] = 99;
assert_eq!(rows, [20, 30, 40, 99]);

And because it operates on &mut [T], you can rotate a window inside a larger buffer without splitting it:

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let mut buf = [0, 1, 2, 3, 4, 5, 6, 7];
buf[2..6].rotate_left(1);
assert_eq!(buf, [0, 1, 3, 4, 5, 2, 6, 7]);

Anywhere you’d reach for “shift everything left and stick the front on the end,” rotate_left does it in one line with no allocation.

#132 May 2026

132. abs_diff — Subtract Without Caring Which Side Is Bigger

Subtracting two unsigned integers and the smaller one comes first? Instant panic. a.abs_diff(b) returns the gap as a u* regardless of which side is bigger — no branching, no overflow.

The Problem

Unsigned subtraction in Rust panics in debug and wraps in release the moment the result would go negative. You end up writing the same branch over and over:

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fn gap(a: u32, b: u32) -> u32 {
    if a > b { a - b } else { b - a }
}

assert_eq!(gap(10, 3), 7);
assert_eq!(gap(3, 10), 7);

It works, but it’s noise. And the same trick on signed integers has a sneakier bug: i32::MIN.abs_diff(i32::MAX) overflows an i32 — the gap doesn’t fit in the signed range.

After: abs_diff

Every integer type carries an abs_diff method that returns the unsigned gap directly. Signed inputs come back as the matching unsigned type, so the result always fits:

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assert_eq!(10u32.abs_diff(3), 7);
assert_eq!(3u32.abs_diff(10), 7);

// Signed → unsigned, no overflow at the extremes
assert_eq!((-5i32).abs_diff(5), 10u32);
assert_eq!(i32::MIN.abs_diff(i32::MAX), u32::MAX);

No if, no checked_sub, no casting through i64 to dodge overflow. One call, one number.

Where It Earns Its Keep

Distance-style calculations are the obvious fit — anywhere “how far apart are these” is the real question and the sign is incidental:

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fn manhattan(a: (i32, i32), b: (i32, i32)) -> u32 {
    a.0.abs_diff(b.0) + a.1.abs_diff(b.1)
}

assert_eq!(manhattan((1, 2), (4, 6)), 7);
assert_eq!(manhattan((-3, -3), (3, 3)), 12);

It also cleans up timestamp deltas, where one side is “now” and the other could be in the past or the future:

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let scheduled: u64 = 1_700_000_000;
let actual:    u64 = 1_699_999_995;

let drift = scheduled.abs_diff(actual);
assert_eq!(drift, 5);

Whenever you catch yourself writing if a > b { a - b } else { b - a }, reach for abs_diff instead.

#131 May 2026

131. mem::offset_of! — Byte Offsets Without the memoffset Crate

You need the byte offset of a field — for FFI, custom serialization, or talking to a C struct. The old answer was unsafe pointer arithmetic on a MaybeUninit, or pulling in the memoffset crate. std::mem::offset_of! is the safe, one-liner replacement.

The problem

Say you’re matching a C layout and need to know exactly where each field lives in memory:

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#[repr(C)]
struct Header {
    magic: u32,
    version: u16,
    flags: u16,
    payload_len: u64,
}

The pre-1.77 way meant either an external crate or hand-rolled unsafe:

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use std::mem::MaybeUninit;

fn payload_len_offset_old() -> usize {
    let uninit = MaybeUninit::<Header>::uninit();
    let base = uninit.as_ptr() as usize;
    let field = unsafe { &raw const (*uninit.as_ptr()).payload_len } as usize;
    field - base
}

It works, but unsafe, raw pointers, and a MaybeUninit is a lot of ceremony for “where does this field start?”

The fix: mem::offset_of!

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use std::mem::offset_of;

let magic_off       = offset_of!(Header, magic);
let version_off     = offset_of!(Header, version);
let flags_off       = offset_of!(Header, flags);
let payload_len_off = offset_of!(Header, payload_len);

assert_eq!(magic_off, 0);
assert_eq!(version_off, 4);
assert_eq!(flags_off, 6);
assert_eq!(payload_len_off, 8);

No unsafe. No allocation. No instance of Header ever exists. The macro expands to a const-evaluable usize — usable inside const fn and static items.

Nested fields work too

Dot through a path of named fields and offset_of! keeps walking:

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#[repr(C)]
struct Inner {
    a: u32,
    b: u32,
}

#[repr(C)]
struct Outer {
    tag: u8,
    _pad: [u8; 3],
    inner: Inner,
}

assert_eq!(offset_of!(Outer, inner), 4);
assert_eq!(offset_of!(Outer, inner.b), 8);

Tuples and tuple structs use numeric indices:

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#[repr(C)]
struct Pair(u8, u32);

assert_eq!(offset_of!(Pair, 0), 0);
assert_eq!(offset_of!(Pair, 1), 4);

When it earns its keep

FFI bindings, custom binary parsers, kernel-style intrusive data structures, and anywhere you’d otherwise reach for memoffset. The macro is in core, so it works in no_std. Reach for it whenever you find yourself writing as *const _ as usize math.

#130 May 2026

130. mem::discriminant — Compare Enum Variants, Ignore the Payload

You want to know “is this another Click?” — not whether the coordinates match. Hand-rolling a match for every variant gets old fast. std::mem::discriminant answers that question in one call.

The problem

Say you have an event enum with payload data on every variant:

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#[derive(Debug)]
enum Event {
    Click { x: i32, y: i32 },
    KeyPress(char),
    Scroll(i32),
}

Two Clicks with different coordinates are still both clicks. Deriving PartialEq won’t help — that compares the inner data too. The usual workaround is a tedious match:

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fn same_kind_match(a: &Event, b: &Event) -> bool {
    match (a, b) {
        (Event::Click { .. }, Event::Click { .. }) => true,
        (Event::KeyPress(_), Event::KeyPress(_)) => true,
        (Event::Scroll(_), Event::Scroll(_)) => true,
        _ => false,
    }
}

Every new variant means another arm. Forget one and you’ve got a silent bug.

The fix: mem::discriminant

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use std::mem::discriminant;

fn same_kind(a: &Event, b: &Event) -> bool {
    discriminant(a) == discriminant(b)
}

discriminant(&value) returns an opaque Discriminant<T> representing which variant the value is — nothing more. Two Clicks with wildly different coordinates have the same discriminant; a Click and a KeyPress don’t.

No match, no missing-arm bugs, no recompile when you add a new variant.

Bonus: Discriminant<T> is Hash + Eq + Copy

That makes it a perfectly good HashMap key, which is great for counting events by variant without writing a tag enum:

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use std::collections::HashMap;
use std::mem::discriminant;

let events = [
    Event::Click { x: 0, y: 0 },
    Event::KeyPress('a'),
    Event::Click { x: 1, y: 1 },
    Event::Scroll(5),
    Event::KeyPress('b'),
];

let mut counts: HashMap<_, usize> = HashMap::new();
for ev in &events {
    *counts.entry(discriminant(ev)).or_insert(0) += 1;
}
// counts now holds: Click -> 2, KeyPress -> 2, Scroll -> 1

Reach for discriminant whenever you find yourself writing a kind() method or an “is this the same variant?” match. The std lib already has it.

#129 May 2026

129. BTreeMap::extract_if — Range-Scoped Filter-and-Remove in One Pass

Vec::extract_if was great. The BTreeMap version, stable since Rust 1.91, adds a trick the slice variant can’t pull off — a range bound that scopes the scan to part of the keyspace.

The collect-keys-then-remove dance

You want to remove every entry matching a predicate from a BTreeMap, and keep the removed entries. The borrow checker won’t let you mutate the map while you’re iterating it, so the textbook workaround is a two-pass clone-the-keys shuffle:

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use std::collections::BTreeMap;

let mut events: BTreeMap<u64, String> = BTreeMap::from([
    (1, "boot".into()),
    (2, "login".into()),
    (3, "click".into()),
    (4, "logout".into()),
]);

let cutoff = 3;

let to_remove: Vec<u64> = events
    .iter()
    .filter(|(k, _)| **k < cutoff)
    .map(|(k, _)| *k)            // requires K: Copy or Clone
    .collect();

let mut expired = Vec::new();
for k in to_remove {
    if let Some(v) = events.remove(&k) {
        expired.push((k, v));
    }
}

assert_eq!(expired.len(), 2);

It works, but the costs add up. You walk the map twice, you require K: Clone (or Copy), and you allocate a throwaway Vec<K> just to break the self-borrow.

extract_if is one pass — and it takes a range

BTreeMap::extract_if(range, pred) returns an iterator that visits keys in ascending order inside the given range, and yields (K, V) for every entry whose predicate returns true. The map’s structure is updated as the iterator advances:

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use std::collections::BTreeMap;

let mut events: BTreeMap<u64, &str> = BTreeMap::from([
    (1, "boot"),
    (2, "login"),
    (3, "click"),
    (4, "logout"),
    (5, "shutdown"),
]);

let expired: BTreeMap<u64, &str> =
    events.extract_if(..3, |_k, _v| true).collect();

assert_eq!(expired.into_iter().collect::<Vec<_>>(), [(1, "boot"), (2, "login")]);
assert_eq!(events.keys().copied().collect::<Vec<_>>(), [3, 4, 5]);

No Clone bound. No second pass. No temp Vec<K>. The range ..3 does double duty as a prune — keys outside it aren’t even visited, which matters when the map is large and the range is small.

The closure can mutate survivors too

The predicate signature is FnMut(&K, &mut V) -> bool. Returning true removes and yields; returning false keeps the entry in the map — but you’ve still got &mut V, so you can edit it on the way past:

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use std::collections::BTreeMap;

let mut scores: BTreeMap<&str, i32> = BTreeMap::from([
    ("alice", 85),
    ("bob",   42),
    ("carol", 91),
    ("dan",   30),
]);

let failing: Vec<(&str, i32)> = scores
    .extract_if(.., |_k, v| {
        if *v < 50 {
            true            // pull this one out
        } else {
            *v += 5;        // bump the survivors by 5
            false           // keep it
        }
    })
    .collect();

assert_eq!(failing, [("bob", 42), ("dan", 30)]);
assert_eq!(scores[&"alice"], 90);
assert_eq!(scores[&"carol"], 96);

One traversal, three behaviors at once: filter, remove, and update.

Constraints

The range is RangeBounds<K>, so anything from .. to start..=end works. extract_if panics if start > end or if the bounds collapse to an empty exclusive range. BTreeSet::extract_if is the same idea minus the value — predicate signature is FnMut(&T) -> bool.

When to reach for it

Whenever the operation is “walk a sorted map, peel off the entries matching a condition, optionally bounded to a key range”. Expiring old timestamped events. Draining tasks below a priority watermark. Splitting a map at a tenant boundary into “keep” and “ship”. The range bound is the part the Vec::extract_if (bite 43) can’t give you — and on a large map, scoping the scan is the whole point.

#128 May 2026

128. slice::copy_within — Shift Bytes In-Place Without Fighting the Borrow Checker

You want to copy buf[2..5] over buf[0..3] — same buffer, no allocation. Reach for copy_from_slice and the borrow checker says no. copy_within is the one-call answer.

The two-borrow trap

The obvious code can’t compile — buf would be borrowed mutably and immutably at the same time:

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let mut buf = [1, 2, 3, 4, 5];

// error[E0502]: cannot borrow `buf` as immutable
//               while also borrowed as mutable
// buf[0..3].copy_from_slice(&buf[2..5]);

The usual workarounds are noisy. split_at_mut to carve the slice into two non-overlapping halves:

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let mut buf = [1, 2, 3, 4, 5];
let (left, right) = buf.split_at_mut(2);
left[0..2].copy_from_slice(&right[0..2]);
assert_eq!(buf, [3, 4, 3, 4, 5]);

…which only works when source and destination land on opposite sides of the split. Otherwise you allocate a throwaway Vec just to break the borrow:

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let mut buf = [1, 2, 3, 4, 5];
let tmp: Vec<_> = buf[2..5].to_vec();   // allocation just to copy
buf[0..3].copy_from_slice(&tmp);

copy_within is the primitive

<[T]>::copy_within(src, dest) copies a range of elements to a destination index inside the same slice — one call, no allocation, no split:

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let mut buf = [1, 2, 3, 4, 5];
buf.copy_within(2..5, 0);
assert_eq!(buf, [3, 4, 5, 4, 5]);

It’s memmove semantics, so overlapping source and destination just work — the elements that get overwritten don’t matter, the surviving order does:

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let mut buf = [1, 2, 3, 4, 5];
// shift everything one slot to the right
buf.copy_within(0..4, 1);
assert_eq!(buf, [1, 1, 2, 3, 4]);

Try writing that with split_at_mut — you can’t, the source and destination overlap.

A real shape: drop the first N from a Vec

Removing the first n elements without reallocating is copy_within plus a truncate:

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let mut data: Vec<u8> = vec![10, 20, 30, 40, 50];
let n = 2;
let len = data.len();

data.copy_within(n..len, 0);
data.truncate(len - n);

assert_eq!(data, [30, 40, 50]);

Same allocation, same backing buffer — the values just shift down. Vec::drain(..n) reads cleaner for one-offs, but copy_within is what you want when you’re already holding &mut [T] and can’t reach for Vec methods (think ring buffers, fixed-size scratch arrays, no_std crates).

Constraints

T: Copy is required — the method does a memmove, it doesn’t run destructors or call Clone. Source and destination ranges must both fit inside the slice; otherwise it panics. The destination is a single index (where the copy starts), not a range — the length is taken from the source range.

When to reach for it

Any time you’d otherwise write split_at_mut just to satisfy the borrow checker, or allocate a temporary buffer to break a self-borrow. copy_within reads as what you actually meant: move these bytes over there, in place.

Stable since Rust 1.37. Works on [T], Vec<T>, and any DerefMut<Target = [T]>.

#127 May 2026

127. std::mem::swap — Trade Two Values Through Their &mut

The textbook let tmp = a; a = b; b = tmp; falls over the moment a and b are &mut T — you can’t move out of a reference. mem::swap is the generic, safe, two-line answer.

Why the temp-variable dance breaks

If a and b are owned locals, you can shuffle through a temporary just fine. As soon as they’re behind &mut, the borrow checker stops you:

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fn naive<T>(a: &mut T, b: &mut T) {
    // let tmp = *a;   // E0507: cannot move out of `*a`
    // *a = *b;        // (also moves out of *b)
    // *b = tmp;
}

You’d have to require T: Copy (loses generality), T: Clone (extra work), or reach for unsafe { ptr::swap(...) }. None of those is the right answer.

mem::swap is the primitive

std::mem::swap(&mut a, &mut b) swaps the bits behind two mutable references. No traits required, no allocation, no unsafe:

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use std::mem;

let mut a = String::from("left");
let mut b = String::from("right");

mem::swap(&mut a, &mut b);

assert_eq!(a, "right");
assert_eq!(b, "left");

Works for any T. The two memory locations exchange contents in-place — one memcpy-sized swap, no clones.

A real shape: front/back double buffering

The pattern that earns mem::swap its keep — flip a “current” and “next” buffer at the end of each frame, reuse both allocations:

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use std::mem;

struct DoubleBuffer<T> {
    front: Vec<T>,
    back: Vec<T>,
}

impl<T> DoubleBuffer<T> {
    fn flip(&mut self) {
        mem::swap(&mut self.front, &mut self.back);
    }
}

let mut buf = DoubleBuffer {
    front: vec![1, 2, 3],
    back:  vec![9, 9, 9],
};

buf.flip();

assert_eq!(buf.front, vec![9, 9, 9]);
assert_eq!(buf.back,  vec![1, 2, 3]);

Two fields of the same struct, both behind &mut self — exactly the case the temp-variable dance can’t reach. mem::swap doesn’t care that the references come from the same parent borrow.

Why not slice::swap or Vec::swap?

v.swap(i, j) is the right tool when both values live in the same slice — it does the index trick under the hood so the borrow checker stays happy. mem::swap is the broader primitive: any two &mut T, regardless of whether they share a container. They’re the same idea at different scopes.

When to reach for it

Whenever you need to exchange two owned values through &mut: flipping buffers, rotating state in a tree node, splicing nodes in a linked list, swapping fields during a state transition. mem::take is swap with T::default() on one side; mem::replace is swap with src on one side and the old value returned. Same family — pick the one whose shape matches what you actually want back.

#126 May 2026

126. Vec::split_off — Cut a Vec in Two and Keep Both Halves

You want the tail of a Vec as its own owned collection — the head stays put, the tail walks away. Cloning a slice works for Clone types, but breaks the moment your elements aren’t cloneable. Vec::split_off doesn’t care.

The clone-and-truncate dance

The textbook split: copy the tail with to_vec(), then truncate the original.

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let mut all = vec![1, 2, 3, 4, 5, 6];

let tail: Vec<i32> = all[3..].to_vec();
all.truncate(3);

assert_eq!(all,  vec![1, 2, 3]);
assert_eq!(tail, vec![4, 5, 6]);

It works, but it clones every element of the tail. Fine for i32, wasteful for String, and a hard error for any type that isn’t Clone.

split_off moves, doesn’t clone

Vec::split_off(at) consumes the elements at at.. out of the original Vec and returns them as a new Vec. The elements are moved, not copied — so it works for any T, Clone or not:

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let mut tasks: Vec<Box<dyn FnOnce()>> = vec![
    Box::new(|| println!("a")),
    Box::new(|| println!("b")),
    Box::new(|| println!("c")),
    Box::new(|| println!("d")),
];

// Box<dyn FnOnce()> isn't Clone — `tasks[2..].to_vec()` won't compile.
let later = tasks.split_off(2);

assert_eq!(tasks.len(), 2);
assert_eq!(later.len(), 2);

The original keeps [0..at), the returned Vec gets [at..len), and not a single element is duplicated. at == 0 gives you the whole thing in the new Vec (the original ends up empty); at == len gives you an empty new Vec. Anything past the length panics.

A real shape: page-by-page draining

split_off shines when you want to peel a batch off the front of a queue and hand it to a worker, keeping the rest for next time:

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fn next_batch<T>(queue: &mut Vec<T>, size: usize) -> Vec<T> {
    let take = size.min(queue.len());
    let rest = queue.split_off(take);
    // queue now holds the first `take` items — that's our batch.
    // `rest` holds everything else — put it back as the new queue.
    let batch = std::mem::replace(queue, rest);
    batch
}

let mut q = vec!["a", "b", "c", "d", "e"];
let first  = next_batch(&mut q, 2);
let second = next_batch(&mut q, 2);

assert_eq!(first,  vec!["a", "b"]);
assert_eq!(second, vec!["c", "d"]);
assert_eq!(q,      vec!["e"]);

No clone, no temporary Vec, no fighting the borrow checker over slice ranges. Two memcpys and you’re done.

When to reach for it

Use split_off whenever you need both halves of a Vec as owned collections — batching, chunked processing, splitting state between threads. If you only want to iterate the tail and throw it away, drain(at..) is better; if you want to keep it, split_off is the move.

#125 May 2026

125. RwLockWriteGuard::downgrade — Hand a Write Lock Off as a Read, Atomically

You took a write lock, updated the data, and now you only want to read. Dropping the write guard and re-acquiring as a reader leaves a window where another writer can slip in. downgrade closes that window.

The gap between releasing and re-acquiring

A common shape in read-heavy systems: a worker takes a write lock to refresh a cache, then wants to keep reading the value it just wrote. The straightforward version drops the writer and grabs a reader:

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use std::sync::RwLock;

let cache = RwLock::new(0);

let mut w = cache.write().unwrap();
*w = 42;
drop(w); // <-- another writer can grab the lock here

let r = cache.read().unwrap();
assert_eq!(*r, 42);

Between drop(w) and cache.read() the lock is released. On a busy system, another writer can land in that hole and replace your 42 with something else before your reader sees it.

downgrade is atomic

Stabilized in Rust 1.92, RwLockWriteGuard::downgrade consumes the write guard and returns a read guard — no release, no reacquire. The transition is atomic, so no other writer can sneak in:

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use std::sync::{RwLock, RwLockWriteGuard};

let cache = RwLock::new(0);

let mut w = cache.write().unwrap();
*w = 42;

// Atomically: write lock -> read lock. No window.
let r = RwLockWriteGuard::downgrade(w);
assert_eq!(*r, 42);

Other readers waiting on the lock can wake up immediately, while the value you just published is guaranteed to still be 42 when you read it back.

A real shape: refresh-then-publish

The pattern shows up wherever one thread mutates state and then turns into a long-lived reader of the same state — config reloads, cache refreshes, snapshot publishers:

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use std::sync::{Arc, RwLock, RwLockWriteGuard};
use std::thread;

let snapshot: Arc<RwLock<Vec<u32>>> = Arc::new(RwLock::new(vec![]));

let writer = {
    let snapshot = Arc::clone(&snapshot);
    thread::spawn(move || {
        let mut w = snapshot.write().unwrap();
        w.extend([10, 20, 30]); // expensive build

        // Downgrade so readers can fan in immediately,
        // and so we keep reading the value we just wrote.
        let r = RwLockWriteGuard::downgrade(w);
        r.iter().sum::<u32>()
    })
};

assert_eq!(writer.join().unwrap(), 60);

Without downgrade, you’d either hold the write lock longer than necessary (blocking every reader) or release it and risk reading stale-or-clobbered data.

When to reach for it

Use downgrade whenever a thread finishes writing and immediately wants to read the same RwLock — especially in read-heavy workloads where you want other readers to fan in as soon as possible without losing the consistency of “I’m reading what I just wrote.” If you don’t need the read afterwards, plain drop is fine; if you do, downgrade is the only way to get there without a race.

#124 May 2026

124. Iterator::cycle — Round-Robin Without the Modulo Math

Round-robin assignment usually shows up as things[i % workers.len()] — fine until the index gets clever, the slice gets reordered, or the source isn’t even indexable. Iterator::cycle turns any Clone iterator into an infinite one, and the modulo dance disappears.

The textbook version: distribute jobs across a fixed pool of workers. Indexing works, but you’re carrying the index and the modulo around just to walk in a circle:

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let workers = ["alice", "bob", "carol"];
let jobs = ["build", "test", "lint", "deploy", "notify"];

// Index-and-modulo: works, but the math is doing the iterating for you.
let mut assigned: Vec<(&str, &str)> = Vec::new();
for (i, job) in jobs.iter().copied().enumerate() {
    assigned.push((job, workers[i % workers.len()]));
}

assert_eq!(
    assigned,
    vec![
        ("build",  "alice"),
        ("test",   "bob"),
        ("lint",   "carol"),
        ("deploy", "alice"),
        ("notify", "bob"),
    ],
);

Swap the modulo for cycle and the loop tells you exactly what it’s doing — pull the next worker, forever:

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let workers = ["alice", "bob", "carol"];
let jobs = ["build", "test", "lint", "deploy", "notify"];

let assigned: Vec<(&str, &str)> = jobs
    .iter()
    .copied()
    .zip(workers.iter().copied().cycle())
    .collect();

assert_eq!(
    assigned,
    vec![
        ("build",  "alice"),
        ("test",   "bob"),
        ("lint",   "carol"),
        ("deploy", "alice"),
        ("notify", "bob"),
    ],
);

The trick is zip — zipping a finite iterator with an infinite one stops as soon as the finite side runs out, so you never have to bound cycle yourself. No off-by-one, no bookkeeping for “did I already use this worker?”.

It also composes with take when you want a fixed-length output and the source is the short one:

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let pattern = [1, 2, 3];

let twelve: Vec<i32> = pattern.iter().copied().cycle().take(12).collect();

assert_eq!(twelve, vec![1, 2, 3, 1, 2, 3, 1, 2, 3, 1, 2, 3]);

A handy companion is enumerate — when you want the round-robin and the original index together:

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let colors = ["red", "green", "blue"];
let rows = ["one", "two", "three", "four", "five"];

let painted: Vec<(usize, &str, &str)> = rows
    .iter()
    .copied()
    .zip(colors.iter().copied().cycle())
    .enumerate()
    .map(|(i, (row, color))| (i, row, color))
    .collect();

assert_eq!(
    painted,
    vec![
        (0, "one",   "red"),
        (1, "two",   "green"),
        (2, "three", "blue"),
        (3, "four",  "red"),
        (4, "five",  "green"),
    ],
);

Two things worth knowing. cycle requires the underlying iterator to be Clone — it remembers the original and starts over each time it’s exhausted, which means it’ll panic or loop forever on an empty iterator depending on what you do with it (zip is safe — empty side wins; bare .next() would just return None forever). And it’s lazy: nothing repeats until the consumer pulls another item, so pairing it with a finite iterator costs nothing extra.

Stable since Rust 1.0 — one of those iterator adapters that makes the modulo operator feel like the wrong tool the moment you remember it exists.

#123 May 2026

123. BTreeMap::pop_first — A Sorted Map That Doubles as a Priority Queue

BinaryHeap only goes one way — biggest first. When you want to pull the smallest or the largest from the same collection, reach for BTreeMap and let pop_first / pop_last do the work.

The classic shape: a queue of jobs keyed by priority where you sometimes need the most-urgent job and sometimes the least-urgent one. With BinaryHeap you’d pick a direction and stick with it (or wrap things in Reverse to flip it). With BTreeMap you get both ends for free, because the keys are already sorted:

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use std::collections::BTreeMap;

let mut jobs: BTreeMap<u32, &str> = BTreeMap::new();
jobs.insert(5, "rebuild index");
jobs.insert(1, "send heartbeat");
jobs.insert(9, "page oncall");
jobs.insert(3, "rotate logs");

// Smallest key first — drain by priority.
assert_eq!(jobs.pop_first(), Some((1, "send heartbeat")));
assert_eq!(jobs.pop_first(), Some((3, "rotate logs")));

// Or grab the most urgent from the other end.
assert_eq!(jobs.pop_last(), Some((9, "page oncall")));

// Empty? You get None — same shape as Vec::pop.
let mut empty: BTreeMap<u32, &str> = BTreeMap::new();
assert_eq!(empty.pop_first(), None);

Both methods return Option<(K, V)> and remove the entry from the map. No second lookup, no .remove(key) follow-up after .first_key_value().

Where this really earns its keep is the “drain-in-order” loop — the kind of thing you’d otherwise write with a heap plus a sidecar map:

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use std::collections::BTreeMap;

let mut tasks: BTreeMap<u32, String> = BTreeMap::new();
tasks.insert(20, "compact".into());
tasks.insert(10, "vacuum".into());
tasks.insert(30, "snapshot".into());

let mut order = Vec::new();
while let Some((priority, name)) = tasks.pop_first() {
    order.push((priority, name));
}

assert_eq!(
    order,
    vec![
        (10, "vacuum".into()),
        (20, "compact".into()),
        (30, "snapshot".into()),
    ],
);

Same loop, swap pop_first for pop_last and you drain in reverse order — no Reverse wrapper, no second collection.

BTreeSet got the same pair (pop_first / pop_last) at the same time, so a sorted set behaves like a deque you can pop from either end:

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use std::collections::BTreeSet;

let mut ids: BTreeSet<u32> = BTreeSet::from([7, 2, 9, 4]);
assert_eq!(ids.pop_first(), Some(2));
assert_eq!(ids.pop_last(),  Some(9));
assert_eq!(ids.len(), 2);

A few things worth knowing. BTreeMap insertion is O(log n) — heavier than a BinaryHeap push, which amortises to O(1). If you genuinely only ever pop from one side and throughput matters, a heap still wins. The moment you need ordered iteration, range queries, or popping from both ends, BTreeMap is the better fit and pop_first / pop_last make that fit feel native.

Stable since Rust 1.66 — and one of those methods that quietly replaces a fistful of match arms once you remember it exists.

#122 May 2026

122. Option::filter — Keep Some Only When the Value Passes

You’ve got an Option<T>, but you only want to keep the Some if the value passes a test. The match-with-guard version works — Option::filter says the same thing in one call.

The shape that keeps showing up: parse something into an Option, then validate it. The naive version stacks an if on top of the unwrap:

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fn parse_port(raw: Option<&str>) -> Option<u16> {
    let s = raw?;
    let n: u16 = s.parse().ok()?;
    if n > 0 { Some(n) } else { None }
}

assert_eq!(parse_port(Some("8080")), Some(8080));
assert_eq!(parse_port(Some("0")),    None);
assert_eq!(parse_port(Some("nope")), None);
assert_eq!(parse_port(None),         None);

Option::filter collapses that trailing if into the chain:

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fn parse_port(raw: Option<&str>) -> Option<u16> {
    raw.and_then(|s| s.parse().ok())
       .filter(|&n| n > 0)
}

assert_eq!(parse_port(Some("8080")), Some(8080));
assert_eq!(parse_port(Some("0")),    None);

Same story for the match-with-guard pattern — when the predicate is the only thing the arm checks, filter reads better:

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let name: Option<&str> = Some("");

// Before: pattern match with a guard
let valid = match name {
    Some(s) if !s.is_empty() => Some(s),
    _ => None,
};
assert_eq!(valid, None);

// After: just say what you mean
let valid = name.filter(|s| !s.is_empty());
assert_eq!(valid, None);

Two things worth knowing. First, the closure receives &T, not T — same as Iterator::filter. So for Option<i32> you write |&n| n > 0 or |n| *n > 0. For Option<String> auto-deref makes |s| !s.is_empty() just work.

Second, filter only keeps or drops — it never transforms. If the predicate returns true you get the original Some back, untouched. To transform, chain .map() after:

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let trimmed = Some("  hello  ")
    .map(str::trim)
    .filter(|s| !s.is_empty());
assert_eq!(trimmed, Some("hello"));

Stable since Rust 1.27, and the kind of method that quietly disappears the boilerplate once you know it’s there.

#121 May 2026

121. rem_euclid — The Modulo That Doesn't Go Negative

-1 % 7 in Rust is -1, not 6. That’s a math gotcha lurking in every wraparound index, every clock arithmetic, every “what day of the week” calculation. rem_euclid is the modulo you actually wanted.

Rust’s % operator follows the same rule as C: the sign of the result matches the sign of the dividend. Useful sometimes, surprising the rest of the time:

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assert_eq!(-1_i32 % 7, -1);
assert_eq!(-8_i32 % 7, -1);
assert_eq!( 8_i32 % 7,  1);

Try indexing a circular buffer with that and you get a panic the first time you step backwards across zero. The fix is rem_euclid, which always returns a value in [0, |divisor|):

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assert_eq!((-1_i32).rem_euclid(7), 6);
assert_eq!((-8_i32).rem_euclid(7), 6);
assert_eq!(( 8_i32).rem_euclid(7), 1);

A real-world shape — wrap an index around a slice in either direction, no if ladder, no manual + len trick:

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let days = ["Mon", "Tue", "Wed", "Thu", "Fri", "Sat", "Sun"];

fn day_after(today: i32, delta: i32) -> i32 {
    (today + delta).rem_euclid(7)
}

assert_eq!(days[day_after(0, -1) as usize], "Sun"); // Mon - 1 = Sun
assert_eq!(days[day_after(2,  4) as usize], "Sun"); // Wed + 4 = Sun
assert_eq!(days[day_after(0, -8) as usize], "Sun"); // wraps past week boundary

div_euclid is the partner that pairs with it: a.div_euclid(b) * b + a.rem_euclid(b) == a always holds, even for negative a. Plain / and % only satisfy that identity for non-negative inputs.

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let a = -7_i32;
let b =  3_i32;
assert_eq!(a.div_euclid(b) * b + a.rem_euclid(b), a);

Both are available on every signed integer type (and floats), and they’re const. The rule of thumb: if your code can ever see a negative operand and you want the mathematician’s modulo — not the hardware’s — reach for rem_euclid.

#120 May 2026

120. OnceLock — Lazy Statics That Initialize on Your Schedule

LazyLock runs its initializer the first time anyone touches the value — fine when the inputs are baked in at compile time, useless when you only learn them at runtime. OnceLock is the same idea, but you decide when (and with what data) initialization happens.

The classic case: you want a global that’s expensive to build, and the data only exists after main starts — CLI args, env vars, a parsed config file. LazyLock can’t see those without baking the work into a closure that re-runs every test setup.

OnceLock solves it by separating creation from initialization:

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use std::sync::OnceLock;

static CONFIG: OnceLock<String> = OnceLock::new();

fn main() {
    // Initialize from real runtime data, exactly once.
    let cfg = std::env::var("APP_CONFIG").unwrap_or_else(|_| "default".into());
    CONFIG.set(cfg).unwrap();

    assert_eq!(config(), "default");
}

fn config() -> &'static str {
    CONFIG.get().expect("config not initialized")
}

set returns Err if the cell was already filled — you get to decide whether that’s a panic, a log line, or a no-op.

For the read-mostly path, get_or_init combines “is it set?” and “set it” into a single thread-safe call. Concurrent callers race; the winner runs the closure, everyone else waits and reads the result:

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use std::sync::OnceLock;

static GREETING: OnceLock<String> = OnceLock::new();

fn greeting() -> &'static str {
    GREETING.get_or_init(|| format!("hello, {}", "world"))
}

assert_eq!(greeting(), "hello, world");
assert_eq!(greeting(), "hello, world"); // cached, closure does not run again

When to reach for which: pick LazyLock when the initializer is self-contained and you’re happy with it firing on first touch. Pick OnceLock when you need to feed in runtime data — or when you want the option to ask “has this been set yet?” before triggering the work.

#119 May 2026

119. iter::from_fn — Build a Custom Iterator Without the Struct

Need a custom iterator that carries a bit of state? Skip the struct plus impl Iterator boilerplate. iter::from_fn turns any closure that returns Option<T> into a real iterator.

The problem

You want a custom iterator with some captured state — a counter, a parser cursor, a lazy generator. The textbook approach is a struct plus a manual Iterator impl:

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struct Counter { n: u32, max: u32 }

impl Iterator for Counter {
    type Item = u32;
    fn next(&mut self) -> Option<u32> {
        if self.n < self.max {
            self.n += 1;
            Some(self.n)
        } else {
            None
        }
    }
}

let counter = Counter { n: 0, max: 5 };
let v: Vec<u32> = counter.collect();
assert_eq!(v, vec![1, 2, 3, 4, 5]);

Three lines of logic, ten lines of scaffolding.

The fix

std::iter::from_fn takes a FnMut() -> Option<T> and returns an iterator. Yield Some(x) for each item, None to stop. The closure’s captured variables become your iterator state:

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use std::iter;

let mut n = 0;
let v: Vec<u32> = iter::from_fn(|| {
    n += 1;
    (n <= 5).then_some(n)
}).collect();
assert_eq!(v, vec![1, 2, 3, 4, 5]);

The closure captures n mutably and updates it on every call. No struct, no impl, no type to name.

Where it shines: tiny tokenizers

from_fn really earns its keep when paired with Peekable::next_if. Pull characters until a condition fails and you have a one-liner tokenizer:

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let mut chars = "123abc".chars().peekable();
let digits: String =
    iter::from_fn(|| chars.next_if(|c| c.is_ascii_digit())).collect();
assert_eq!(digits, "123");

// chars still has "abc" left to consume
let rest: String = chars.collect();
assert_eq!(rest, "abc");

Reach for from_fn whenever the iterator’s state would just be a couple of local variables. Reach for a manual impl Iterator when the iterator is a public type, needs to implement other traits, or you want a size hint and specialization.

#118 May 2026

118. [T; N]::map — Transform an Array Without Allocating a Vec

[1, 2, 3].iter().map(|n| n * 2).collect::<Vec<_>>() works, but you’ve thrown the length away in the type and paid for a heap allocation. Arrays have their own map — same shape in, same shape out, no Vec in sight.

The reflex for transforming an array is the iterator chain:

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let nums = [1, 2, 3, 4];
let doubled: Vec<i32> = nums.iter().map(|n| n * 2).collect();
assert_eq!(doubled, vec![2, 4, 6, 8]);

That gives you a Vec<i32>. The compiler no longer knows the length, and you allocated on the heap to find that out. If you want the array shape back, you’re stuck with try_into and a unwrap you don’t want.

[T; N]::map skips all of it. The output is [U; N] — same N, brand-new element type:

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let nums = [1, 2, 3, 4];
let doubled: [i32; 4] = nums.map(|n| n * 2);
assert_eq!(doubled, [2, 4, 6, 8]);

No heap, no length erased, no try_into. Just an array on the stack with a different element type.

It takes each element by value, so it works fine with non-Copy types — no clone dance:

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let names = [String::from("a"), String::from("bb"), String::from("ccc")];
let lens: [usize; 3] = names.map(|s| s.len());
assert_eq!(lens, [1, 2, 3]);

The closure consumes the String, the array is moved, and you get a fresh [usize; 3] back. Compare to the iterator version, which would need .into_iter() plus a try_into to recover the array type.

It’s also a clean way to build initialized arrays from one you already have — RGB to RGBA, raw bytes to parsed records, anything fixed-width:

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let rgb: [u8; 3] = [200, 100, 50];
let rgba: [u8; 4] = {
    let [r, g, b] = rgb.map(|c| c.saturating_add(5));
    [r, g, b, 255]
};
assert_eq!(rgba, [205, 105, 55, 255]);

When you genuinely want a Vec, .iter().map().collect() still wins. But when the length is part of the design — config slots, fixed-N pipelines, embedded buffers, no_std code — [T; N]::map keeps that fact in the type system instead of throwing it away.

#117 May 2026

117. Iterator::step_by — Every Nth Element Without filter + enumerate

Want every 3rd value from a series? The reflex is enumerate().filter(|(i, _)| i % 3 == 0) — three combinators, one modulo, and you’ve thrown away the indices anyway. step_by(3) does the same thing in one call.

The classic shape: keep every Nth item, drop the rest. Most people reach for enumerate plus a modulo filter:

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let xs = [10, 20, 30, 40, 50, 60, 70];

let evens_by_index: Vec<_> = xs
    .iter()
    .enumerate()
    .filter(|(i, _)| i % 2 == 0)
    .map(|(_, x)| *x)
    .collect();

assert_eq!(evens_by_index, [10, 30, 50, 70]);

That works, but you’re indexing just to throw the index away, and the filter runs once per element even though the iterator already knows where to land.

Iterator::step_by(n) yields the first item, then advances by n - 1, repeating. Same result, no bookkeeping:

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let xs = [10, 20, 30, 40, 50, 60, 70];

let stepped: Vec<_> = xs.iter().step_by(2).copied().collect();

assert_eq!(stepped, [10, 30, 50, 70]);

The first element is always included — step_by(n) starts at index 0, then jumps. If you want to skip the first one, chain with skip:

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let xs = [10, 20, 30, 40, 50, 60, 70];

let from_second: Vec<_> = xs.iter().skip(1).step_by(2).copied().collect();

assert_eq!(from_second, [20, 40, 60]);

It composes nicely with ranges, which is where it really shines — multiples, downsampling, every-other-frame logic without writing the loop yourself:

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// All multiples of 5 up to 30 (inclusive)
let multiples: Vec<i32> = (0..=30).step_by(5).collect();
assert_eq!(multiples, [0, 5, 10, 15, 20, 25, 30]);

// Downsample a buffer to one in four
let signal: Vec<f32> = (0..16).map(|i| i as f32).collect();
let downsampled: Vec<f32> = signal.iter().step_by(4).copied().collect();
assert_eq!(downsampled, [0.0, 4.0, 8.0, 12.0]);

One footgun: step_by(0) panics. The step has to be at least 1, which makes sense — you can’t “advance by zero” and make progress — but it’s a runtime panic, not a compile error, so don’t pass a step you computed at runtime without checking.

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// This would panic: (0..10).step_by(0)
fn safe_step(xs: &[i32], n: usize) -> Vec<i32> {
    if n == 0 { return Vec::new(); }
    xs.iter().step_by(n).copied().collect()
}

assert_eq!(safe_step(&[1, 2, 3, 4], 0), Vec::<i32>::new());
assert_eq!(safe_step(&[1, 2, 3, 4], 2), vec![1, 3]);

Reach for step_by whenever you’d otherwise write enumerate().filter(|(i, _)| i % n == 0) — same behavior, half the code, and the iterator can actually skip elements instead of inspecting every one.

#116 May 2026

116. Path::file_prefix — Get the Real Stem of archive.tar.gz

Path::file_stem strips the last extension, so archive.tar.gz comes back as archive.tar. That’s almost never what you want for double-extension files. file_prefix strips from the first dot instead — archive, finally.

The classic confusion. You ask for the “stem” of a tarball and get something with .tar still glued on:

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use std::path::Path;

let p = Path::new("backups/archive.tar.gz");

assert_eq!(p.file_stem(),   Some("archive.tar".as_ref()));
assert_eq!(p.extension(),   Some("gz".as_ref()));

file_stem takes the file name and drops everything from the last . onwards. For a single extension that’s fine. For .tar.gz, .min.js, .d.ts, .spec.ts, you end up doing the second strip yourself:

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use std::path::Path;

fn real_stem_old(p: &Path) -> Option<&str> {
    let stem = p.file_stem()?.to_str()?;
    Some(stem.split('.').next().unwrap_or(stem))
}

assert_eq!(real_stem_old(Path::new("archive.tar.gz")), Some("archive"));
assert_eq!(real_stem_old(Path::new("bundle.min.js")),  Some("bundle"));

Works, but you’ve left OsStr land just to do a string split, and you’ve quietly made the function lossy on non-UTF-8 paths.

Rust 1.91 stabilised Path::file_prefix. It returns the file name up to the first . — staying in OsStr the whole time:

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use std::path::Path;

assert_eq!(Path::new("archive.tar.gz").file_prefix(), Some("archive".as_ref()));
assert_eq!(Path::new("bundle.min.js").file_prefix(),  Some("bundle".as_ref()));
assert_eq!(Path::new("notes.md").file_prefix(),       Some("notes".as_ref()));
assert_eq!(Path::new("README").file_prefix(),         Some("README".as_ref()));

Leading dots on dotfiles are kept — exactly like file_stem already does — so you don’t accidentally turn .bashrc into an empty string:

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use std::path::Path;

assert_eq!(Path::new(".bashrc").file_prefix(),     Some(".bashrc".as_ref()));
assert_eq!(Path::new(".config.toml").file_prefix(), Some(".config".as_ref()));

Pair it with file_stem when you want both halves of a multi-extension name in one place:

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use std::path::Path;

let p = Path::new("logs/app.2026-05-03.log.gz");
let prefix = p.file_prefix().and_then(|s| s.to_str()).unwrap_or("");
let stem   = p.file_stem().and_then(|s| s.to_str()).unwrap_or("");

assert_eq!(prefix, "app");                     // the real name
assert_eq!(stem,   "app.2026-05-03.log");      // everything except the final ext

Reach for file_prefix whenever a filename has more than one dot and you want the part a human would call “the name”.

#115 May 2026

115. Vec::resize_with — Grow a Vec With a Closure, Not a Clone

Vec::resize makes every new slot a clone of the same value. When you need fresh values per slot — counters, allocations, defaults — resize_with calls a closure for each new element instead.

Vec::resize(n, value) is fine when the filler is cheap and identical, but it has two annoyances. It needs T: Clone, and every new slot is the same clone. So this doesn’t work the way you want:

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// One Vec shared across every slot — mutating slot 0 mutates them all.
let mut grid: Vec<Vec<u8>> = Vec::new();
grid.resize(3, Vec::new());
grid[0].push(42);
assert_eq!(grid[1], vec![]); // fine — Vec::new() clones to a new empty Vec

That one happens to be safe because Vec::clone actually allocates. But the moment your T is Rc<RefCell<…>>, every slot points at the same cell. And if T isn’t Clone at all, you can’t call resize in the first place.

resize_with takes a closure and calls it once per new slot:

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let mut counter = 0;
let mut v = vec![10, 20];
v.resize_with(5, || {
    counter += 1;
    counter
});
assert_eq!(v, vec![10, 20, 1, 2, 3]);

The closure can capture mutable state, so each call is fresh. Generating IDs, pulling from an RNG, allocating independent buffers — all easy:

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let mut next_id = 100;
let mut buffers: Vec<(usize, Vec<u8>)> = Vec::new();
buffers.resize_with(3, || {
    let id = next_id;
    next_id += 1;
    (id, Vec::with_capacity(1024))
});
assert_eq!(buffers[0].0, 100);
assert_eq!(buffers[2].0, 102);

For non-Clone types, Default::default is the usual filler:

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#[derive(Default, Debug, PartialEq)]
struct Slot {
    open: bool,
    payload: Vec<u8>,
}

let mut slots: Vec<Slot> = Vec::new();
slots.resize_with(2, Default::default);
assert_eq!(slots, vec![Slot::default(), Slot::default()]);

Shrinking still works, and the closure is never called when the new length is smaller:

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let mut v = vec![1, 2, 3, 4, 5];
v.resize_with(2, || unreachable!());
assert_eq!(v, vec![1, 2]);

Reach for resize_with whenever the filler isn’t a single static value — and especially when T doesn’t (or shouldn’t) implement Clone.

114. Option::transpose — Use ? on an Optional Result

Got an Option<Result<T, E>> and want to ? the error out? You can’t — ? doesn’t reach inside the Option. transpose flips it to Result<Option<T>, E>, and the rest takes care of itself.

The classic case: a config field that’s optional, but if it’s there, it has to parse. The old dance is three match arms just to thread the error out of the Option:

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use std::num::ParseIntError;

fn parse_port_old(raw: Option<&str>) -> Result<Option<u16>, ParseIntError> {
    match raw.map(str::parse::<u16>) {
        Some(Ok(p))  => Ok(Some(p)),
        Some(Err(e)) => Err(e),
        None         => Ok(None),
    }
}

transpose collapses it:

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use std::num::ParseIntError;

fn parse_port(raw: Option<&str>) -> Result<Option<u16>, ParseIntError> {
    raw.map(str::parse::<u16>).transpose()
}

Option<Result<T, E>>::transpose() returns Result<Option<T>, E> — exactly the shape ? wants. Now you can chain it inline:

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use std::collections::HashMap;
use std::num::ParseIntError;

fn read_port(config: &HashMap<&str, &str>) -> Result<Option<u16>, ParseIntError> {
    let port = config.get("port").copied().map(str::parse::<u16>).transpose()?;
    Ok(port)
}

It works the other way too: Result<Option<T>, E>::transpose() returns Option<Result<T, E>>. Handy when an iterator chain wants the Option on the outside.

All three cases, one call:

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assert_eq!(parse_port(Some("8080")).unwrap(), Some(8080));
assert_eq!(parse_port(None).unwrap(), None);
assert!(parse_port(Some("nope")).is_err());

Reach for transpose any time Option and Result get nested and you wish ? could see through both.

#113 May 2026

113. Arc::make_mut — Mutate Inside an Arc Without the Dance

You have an Arc<T>, you want a &mut T. Arc only hands out &T, so the usual workaround is clone-the-inner, mutate, rewrap. Arc::make_mut does that for you — and skips the clone when no one else is watching.

The manual version everyone writes once and then copies forever:

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use std::sync::Arc;

let mut shared = Arc::new(vec![1, 2, 3]);

let mut owned: Vec<i32> = (*shared).clone(); // always clones
owned.push(4);
shared = Arc::new(owned);                    // always reallocates the Arc

assert_eq!(*shared, vec![1, 2, 3, 4]);

It works, but it clones the Vec and reallocates the Arc every single time — even when this Arc is the only one pointing at the data.

Arc::make_mut takes &mut Arc<T> and hands you &mut T:

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use std::sync::Arc;

let mut shared = Arc::new(vec![1, 2, 3]);

Arc::make_mut(&mut shared).push(4);

assert_eq!(*shared, vec![1, 2, 3, 4]);

One call, one borrow, and — crucially — no clone when this Arc is unique:

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use std::sync::Arc;

let mut solo = Arc::new(vec![1, 2, 3]);
Arc::make_mut(&mut solo).push(99); // strong_count == 1, mutates in place
assert_eq!(*solo, vec![1, 2, 3, 99]);

When the Arc is shared, make_mut quietly clones the inner value into a fresh allocation and detaches your handle from the rest. The other handles keep seeing the old data — clone-on-write, exactly like you’d want:

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use std::sync::Arc;

let mut a = Arc::new(vec![1, 2, 3]);
let b = Arc::clone(&a);            // strong_count == 2

Arc::make_mut(&mut a).push(99);    // clones, then mutates the clone

assert_eq!(*a, vec![1, 2, 3, 99]); // a moved to its own allocation
assert_eq!(*b, vec![1, 2, 3]);     // b still sees the original

The same method exists on Rc for single-threaded code, with identical semantics. Reach for make_mut whenever you find yourself cloning the inside of an Arc just to change one field — you’ll skip the allocation in the common case and get an honest &mut T in return.

#112 May 2026

112. Iterator::scan — Fold That Yields Every Step

fold keeps the running state but only hands you the final answer. So you reach for a mut variable plus map, or you give up and collect first. scan is the missing middle: a fold that yields each intermediate step.

The setup is familiar — you want a running total, not just the sum:

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let nums = [1, 2, 3, 4, 5];

let mut sum = 0;
let totals: Vec<i32> = nums.iter()
    .map(|&x| { sum += x; sum })
    .collect();
assert_eq!(totals, vec![1, 3, 6, 10, 15]);

It works, but the state lives outside the chain. map is supposed to be pure — leaning on a captured mut makes the iterator harder to refactor and impossible to compose.

scan puts the state inside the chain. You hand it an initial value and a closure that mutates the state and returns each yielded item:

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let nums = [1, 2, 3, 4, 5];

let totals: Vec<i32> = nums.iter()
    .scan(0, |sum, &x| {
        *sum += x;
        Some(*sum)
    })
    .collect();
assert_eq!(totals, vec![1, 3, 6, 10, 15]);

No captured state, no second pass. The closure returns Option<U>, so returning None ends the iteration early — handy for “stop when the running total crosses a threshold”:

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let nums = [3, 4, 5, 6, 7];

let until_ten: Vec<i32> = nums.iter()
    .scan(0, |sum, &x| {
        *sum += x;
        (*sum <= 10).then_some(*sum)
    })
    .collect();
assert_eq!(until_ten, vec![3, 7]);

The state isn’t limited to numbers either — pair it with a tuple to track “previous + current” and you’ve got differences in one pass:

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let readings = [10, 13, 12, 18, 20];

let deltas: Vec<i32> = readings.iter()
    .scan(None, |prev, &x| {
        let d = prev.map(|p| x - p);
        *prev = Some(x);
        Some(d)
    })
    .flatten()
    .collect();
assert_eq!(deltas, vec![3, -1, 6, 2]);

Reach for scan whenever you’d otherwise write let mut acc = … outside a map. Same shape, no escapee state.

#111 Apr 2026

111. Vec::insert_mut — Splice In and Edit Without Reindexing

You insert a placeholder, then index back to fix it up. Two lookups, two bounds checks, one wobble. Vec::insert_mut — stable in 1.95 — hands you the &mut T directly.

The classic dance:

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let mut v = vec![1, 2, 4, 5];
v.insert(2, 0);
v[2] = 3; // recompute the index, second bounds check
assert_eq!(v, [1, 2, 3, 4, 5]);

insert_mut returns the slot:

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let mut v = vec![1, 2, 4, 5];
let slot = v.insert_mut(2, 0);
*slot = 3;
assert_eq!(v, [1, 2, 3, 4, 5]);

This shines when the value is built in pieces — push a default, then fill it in based on where it landed:

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#[derive(Default, Debug, PartialEq)]
struct Job { id: u32, label: String }

let mut jobs: Vec<Job> = vec![Job { id: 1, label: "build".into() }];
let j = jobs.insert_mut(0, Job::default());
j.id = 0;
j.label = "setup".into();

assert_eq!(jobs[0], Job { id: 0, label: String::from("setup") });
assert_eq!(jobs[1].label, "build");

Rust 1.95 grew the whole _mut family alongside Vec::push_mut: Vec::insert_mut, VecDeque::push_front_mut, VecDeque::push_back_mut, VecDeque::insert_mut, LinkedList::push_front_mut, and LinkedList::push_back_mut. Same idea everywhere — the place-it method now returns a mutable reference to the slot it just placed.

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use std::collections::VecDeque;

let mut q: VecDeque<i32> = VecDeque::from([2, 3]);
let head = q.push_front_mut(0);
*head += 1; // now 1
assert_eq!(q, VecDeque::from([1, 2, 3]));

Quietly useful, no churn — just fewer indices floating around.

#110 Apr 2026

110. slice::split_at_checked — Split Without the Panic

slice.split_at(i) panics the second i > len. The usual fix is a length check wrapped around the call so you don’t blow up on a bad index. split_at_checked does the same job in one call and hands you an Option.

The classic trap — a single bad index away from a panic:

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let xs = [1, 2, 3, 4];
let (head, tail) = xs.split_at(10); // panics: byte index 10 is out of bounds

The defensive version everyone writes:

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let xs = [1, 2, 3, 4];
let i = 10;

if i <= xs.len() {
    let (head, tail) = xs.split_at(i);
    // ...use head and tail
} else {
    // handle out-of-bounds
}

Two reads of i, one easy off-by-one (< vs <=), and a panic waiting if you ever drop the guard.

Rust 1.80 stabilised split_at_checked (and split_at_mut_checked), which folds the bounds check into the return type:

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let xs = [1, 2, 3, 4];

assert_eq!(xs.split_at_checked(2), Some((&xs[..2], &xs[2..])));
assert_eq!(xs.split_at_checked(4), Some((&xs[..], &[][..]))); // boundary is fine
assert_eq!(xs.split_at_checked(5), None);                     // would have panicked

Now the bounds check is the API. You get an Option<(&[T], &[T])> and the compiler nudges you to handle the None case:

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fn take_prefix(buf: &[u8], n: usize) -> Option<&[u8]> {
    let (head, _rest) = buf.split_at_checked(n)?;
    Some(head)
}

assert_eq!(take_prefix(b"hello", 3), Some(&b"hel"[..]));
assert_eq!(take_prefix(b"hi", 3), None);

? does the bailout, no manual length check, no panic path. This works on &str too, where the index has to land on a UTF-8 boundary — and it returns None if it doesn’t, instead of panicking.

109. BinaryHeap::peek_mut — Edit the Top Without Pop-and-Push

Updating the largest element in a BinaryHeap shouldn’t take two heap operations. peek_mut lets you mutate it in place and re-heapifies on drop — one sift instead of two.

The pop-and-push dance

Say you keep tasks in a max-heap by priority and you need to bump the top one down. The naive recipe is to pop, change it, and push it back:

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use std::collections::BinaryHeap;

let mut heap = BinaryHeap::from([3, 1, 5, 2, 4]);

// Pull the max out, edit it, push it back.
let top = heap.pop().unwrap();
heap.push(top - 10);

assert_eq!(heap.peek(), Some(&4));

That’s two O(log n) heap operations — a sift-down for pop, a sift-up for push — plus an awkward two-step where the heap briefly forgets it ever had a max.

peek_mut does it in one shot

peek_mut returns a PeekMut guard that derefs to the top element. You mutate it in place, and the heap fixes itself with a single sift-down when the guard is dropped:

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use std::collections::BinaryHeap;

let mut heap = BinaryHeap::from([3, 1, 5, 2, 4]);

if let Some(mut top) = heap.peek_mut() {
    *top -= 10; // 5 becomes -5
}
// PeekMut dropped here — heap re-heapifies once.

assert_eq!(heap.peek(), Some(&4));

One traversal, no temporary owned value, and the heap invariant is restored before the next line of code runs.

Conditionally pop without a re-peek

PeekMut also has an associated pop function. Look at the top, decide whether to keep or remove it, all without peeking twice:

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use std::collections::{BinaryHeap, binary_heap::PeekMut};

let mut heap = BinaryHeap::from([10, 7, 4, 1]);

if let Some(top) = heap.peek_mut() {
    if *top > 5 {
        // Pop only when the top passes a check.
        PeekMut::pop(top);
    }
}

assert_eq!(heap.peek(), Some(&7));

Same shape as Vec::pop_if, but for the heap’s max — pull the top out only when it actually meets your condition.

When to reach for it

Any time you’d write pop().push() to edit the max, peek_mut is the better tool: one heap fixup instead of two, and the borrow stays inside the heap so you don’t shuffle ownership for nothing. Great fit for priority queues that adjust the top entry — schedulers, event loops, top-k trackers.

#108 Apr 2026

108. Iterator::max_by_key — Find the Biggest Without Sorting the Whole Thing

Need the longest string in a Vec? Don’t sort the whole list to grab the last element — max_by_key walks once, allocates nothing, and returns it directly.

The wasteful way

You want the longest word from a list. The first instinct is often to sort and pick:

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let mut words = vec!["fig", "apple", "kiwi", "blackberry", "pear"];

// Sort the full vec by length, then grab the last element.
words.sort_by_key(|w| w.len());
let longest = words.last().unwrap();

assert_eq!(*longest, "blackberry");

That’s O(n log n) work — and a side effect, since your Vec is now reordered — just to answer “which one is biggest?”.

Enter max_by_key

max_by_key walks the iterator once, tracks the running maximum, and hands you the element it picked:

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let words = vec!["fig", "apple", "kiwi", "blackberry", "pear"];

let longest = words.iter().max_by_key(|w| w.len()).unwrap();

assert_eq!(*longest, "blackberry");

O(n), no allocation, no mutation. The original Vec is untouched and you get a &&str back without cloning anything.

Same energy: min_by_key

The mirror method is just as useful — find the shortest word in one pass:

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let words = vec!["fig", "apple", "kiwi", "blackberry", "pear"];

let shortest = words.iter().min_by_key(|w| w.len()).unwrap();

assert_eq!(*shortest, "fig");

Picking by computed value

The closure can do real work — compute distance, score, age — anything that returns something Ord:

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struct Player { name: &'static str, score: u32 }

let roster = [
    Player { name: "Ferris", score: 80 },
    Player { name: "Corro",  score: 95 },
    Player { name: "Crusty", score: 60 },
];

let top = roster.iter().max_by_key(|p| p.score).unwrap();

assert_eq!(top.name, "Corro");

No need to sort, no need to implement Ord on the struct — just point at the field that decides.

Tiebreaks: last one wins

When two elements share the same key, max_by_key returns the last one and min_by_key returns the first:

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let v = vec![(1, 'a'), (3, 'b'), (3, 'c'), (2, 'd')];

let max = v.iter().max_by_key(|(k, _)| *k).unwrap();
let min = v.iter().min_by_key(|(k, _)| *k).unwrap();

assert_eq!(*max, (3, 'c')); // last 3
assert_eq!(*min, (1, 'a')); // first 1

Worth knowing if your data has duplicates — pick the iteration direction so the right element wins.

When to reach for it

If you catch yourself sorting and then grabbing first(), last(), or [0], stop. min_by_key and max_by_key are the targeted tools: one pass, zero allocations, and the result type is exactly the element you wanted.

#107 Apr 2026

107. Vec::splice — Replace a Range and Keep the Old Values

Need to swap a chunk of a Vec for a different number of items? Most people reach for drain plus extend and a bunch of bookkeeping. Vec::splice does the whole thing in one call — and even hands back what it removed.

The clunky way

You want to replace v[1..4] with two different values. Without splice, you end up juggling indices:

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let mut v = vec![1, 2, 3, 4, 5];

// Remove the middle, save the tail, then stitch it back together.
let tail: Vec<_> = v.drain(4..).collect();
v.truncate(1);
v.extend([10, 20]);
v.extend(tail);

assert_eq!(v, [1, 10, 20, 5]);

Three steps, one temporary Vec, and you didn’t even capture what was removed. Easy to off‑by‑one, easy to get wrong.

Enter splice

splice takes a range and an iterator and swaps them in place — the replacement can be any length:

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let mut v = vec![1, 2, 3, 4, 5];

v.splice(1..4, [10, 20]);

assert_eq!(v, [1, 10, 20, 5]);

One call. No tail buffer. Works whether the replacement is shorter, longer, or the same size as the range.

It returns the removed items too

splice is a draining iterator — collect it and you get the elements that were taken out:

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let mut v = vec![10, 20, 30, 40, 50];

let removed: Vec<_> = v.splice(1..4, [99]).collect();

assert_eq!(removed, [20, 30, 40]);
assert_eq!(v, [10, 99, 50]);

Perfect for “swap this section, but undo it later” patterns.

Insert without removing

Pass an empty range and splice becomes a multi‑item insert:

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let mut v = vec![1, 5];

v.splice(1..1, [2, 3, 4]);

assert_eq!(v, [1, 2, 3, 4, 5]);

That’s far nicer than calling insert in a loop and watching every push shift the tail again.

When to reach for it

Any time you’d write drain(..) followed by extend(..) or a tower of insert calls, try splice first. One method, one allocation pattern, and the removed items come along for free.

#106 Apr 2026

106. Iterator::by_ref — Take Part of an Iterator and Keep the Rest

Called iter.take(n).collect() and watched the borrow checker swallow the whole iterator? by_ref lets you consume a chunk and keep iterating from where you stopped.

The trap: adapters consume their iterator

Most iterator adapters take self, not &mut self. The moment you write iter.take(2), you have moved iter into the new Take adapter. The original binding is gone:

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let v = vec![1, 2, 3, 4, 5];
let mut iter = v.into_iter();

let _first_two: Vec<i32> = iter.take(2).collect();
// let rest: Vec<i32> = iter.collect();
// ^^ error: use of moved value: `iter`

So even though there are clearly elements left, the variable that points at them is no longer usable.

The fix: iter.by_ref()

Iterator::by_ref returns a &mut Self — and &mut I itself implements Iterator whenever I: Iterator. Adapters chained off by_ref() consume from the underlying iterator without moving it:

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let v = vec![1, 2, 3, 4, 5];
let mut iter = v.into_iter();

let first_two: Vec<i32> = iter.by_ref().take(2).collect();
let rest: Vec<i32> = iter.collect();

assert_eq!(first_two, [1, 2]);
assert_eq!(rest, [3, 4, 5]);

Same iterator, two phases, no clones, no indexing.

A real use: parse a header, then a body

The pattern shines when the front of a stream uses different rules than the rest. Pull lines until you hit a blank one, then hand the same iterator to the body parser:

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let input = "Subject: hi\nFrom: a@b\n\nbody line 1\nbody line 2";
let mut lines = input.lines();

let headers: Vec<&str> = lines
    .by_ref()
    .take_while(|l| !l.is_empty())
    .collect();

let body: Vec<&str> = lines.collect();

assert_eq!(headers, ["Subject: hi", "From: a@b"]);
assert_eq!(body, ["body line 1", "body line 2"]);

Without by_ref, take_while would have consumed lines whole and the body would be unreachable.

Gotcha: take_while peeks one past

take_while reads the first non-matching element to know when to stop — and that element is gone from the underlying iterator. With by_ref you’ll see this directly:

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let mut nums = (1..).into_iter();

let small: Vec<i32> = nums.by_ref().take_while(|&n| n < 3).collect();
let next = nums.next();

assert_eq!(small, [1, 2]);
assert_eq!(next, Some(4)); // 3 was eaten by take_while

If you need to keep the boundary element, reach for Peekable instead.

When to use it

Any time you want to apply an adapter to part of an iterator and continue afterwards: chunked parsing, header/body splits, “take the first N then process the rest”, consuming until a sentinel. by_ref() turns “I moved my iterator and now I can’t use it” into a single extra method call.

#105 Apr 2026

105. Vec::extend_from_within — Duplicate a Range Without Fighting the Borrow Checker

Trying to copy a slice of a Vec back onto the end of itself? v.extend_from_slice(&v[..k]) won’t compile — &v and &mut v collide. extend_from_within is the one-call answer.

The borrow checker says no

It looks innocent: take the first few bytes of a buffer and append them to the end. The naïve write doesn’t even reach the type checker without complaint:

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let mut buf: Vec<u8> = vec![0xCA, 0xFE, 0xBA, 0xBE];
// buf.extend_from_slice(&buf[..2]);
// ^^ error: cannot borrow `buf` as immutable because it is also borrowed as mutable

extend_from_slice needs &mut self, and &buf[..2] is an immutable borrow of the same Vec. Two borrows, one of them mutable, same value — instant rejection.

The usual workarounds bloat the call site. Either make a temporary copy, or reach for unsafe and a raw pointer dance:

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let mut buf: Vec<u8> = vec![0xCA, 0xFE, 0xBA, 0xBE];

let head: Vec<u8> = buf[..2].to_vec();   // extra allocation
buf.extend_from_slice(&head);

assert_eq!(buf, [0xCA, 0xFE, 0xBA, 0xBE, 0xCA, 0xFE]);

A whole heap allocation just to copy two bytes inside a vector you already own. There’s a better way.

extend_from_within — one call, no temp

Vec::extend_from_within takes a range into self and appends those elements. No second buffer, no unsafe, no fight with the borrow checker:

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let mut buf: Vec<u8> = vec![0xCA, 0xFE, 0xBA, 0xBE];
buf.extend_from_within(..2);

assert_eq!(buf, [0xCA, 0xFE, 0xBA, 0xBE, 0xCA, 0xFE]);

It accepts any RangeBounds<usize>..k, i..j, i..=j, .. — so you can grab whatever slice you want, including the whole Vec:

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let mut v = vec![1, 2, 3];
v.extend_from_within(..);   // double the contents

assert_eq!(v, [1, 2, 3, 1, 2, 3]);

It requires T: Clone, and clones each element exactly once. For Copy types like primitives it lowers to a single memcpy.

A real use: building patterns

It’s especially nice for building repeating or growing patterns where each step depends on the previous one — think DSP buffers, simple test fixtures, or doubling tricks:

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let mut data = vec![1u32];
for _ in 0..4 {
    data.extend_from_within(..); // double in place
}

assert_eq!(data.len(), 16);
assert!(data.iter().all(|&x| x == 1));

When to reach for it

Any time you’d write v.extend_from_slice(&v[range]) and the borrow checker stops you, swap in v.extend_from_within(range). Stable since Rust 1.53, exists for both Vec<T> and VecDeque<T>, and quietly turns a frustrating compile error into a one-liner.

#103 Apr 2026

103. bool::then_some — Turn a Condition Into an Option Without an if

Writing if condition { Some(value) } else { None } for the hundredth time? bool::then_some collapses that whole pattern into a single chainable call.

The familiar boilerplate

You have a bool and you want to lift it into an Option. The naive form works, but it’s noisy and breaks chains:

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fn even_double(n: i32) -> Option<i32> {
    if n % 2 == 0 {
        Some(n * 2)
    } else {
        None
    }
}

assert_eq!(even_double(4), Some(8));
assert_eq!(even_double(5), None);

Three lines and an if/else for what is conceptually “if true, wrap it.” It also doesn’t slot into iterator chains — you’d have to wrap it in a closure.

then_some: the eager form

bool::then_some(value) returns Some(value) if the bool is true, None otherwise:

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fn even_double(n: i32) -> Option<i32> {
    (n % 2 == 0).then_some(n * 2)
}

assert_eq!(even_double(4), Some(8));
assert_eq!(even_double(5), None);

One line, no branches in sight. The intent reads exactly like the English: if even, then some n * 2.

then: the lazy form

then_some always evaluates its argument — fine for cheap values, wasteful for expensive ones. Use then(|| ...) when the value should only be computed when the condition holds:

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fn parse_if_digits(s: &str) -> Option<u64> {
    s.chars().all(|c| c.is_ascii_digit())
        .then(|| s.parse().unwrap())
}

assert_eq!(parse_if_digits("42"), Some(42));
assert_eq!(parse_if_digits("4a2"), None);

The parse only runs when the string is all digits. With then_some(s.parse().unwrap()) you’d unwrap on every call — instant panic on bad input.

Where it really shines: filter_map chains

The big payoff is in iterator pipelines. Filter and transform in one step, no closure-returning-Option boilerplate:

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let nums = [1, 2, 3, 4, 5, 6];

let doubled_evens: Vec<i32> = nums
    .iter()
    .filter_map(|&n| (n % 2 == 0).then_some(n * 2))
    .collect();

assert_eq!(doubled_evens, [4, 8, 12]);

Compare to the if/else version inside the closure — it works, but it’s twice as wide and the else None arm adds zero information.

Watch the eager trap

then_some evaluates its argument unconditionally — which means an “obvious” guard like this is actually a panic:

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fn first<T: Copy>(items: &[T]) -> Option<T> {
    // BAD: items[0] runs even when the slice is empty.
    // (!items.is_empty()).then_some(items[0])

    // GOOD: defer the indexing into the closure.
    (!items.is_empty()).then(|| items[0])
}

assert_eq!(first(&[10, 20, 30]), Some(10));
assert_eq!(first::<i32>(&[]), None);

The bool short-circuits, the closure doesn’t. Whenever the value can panic, unwrap, or just costs real work, reach for then, not then_some.

When to reach for which

Use then_some(value) when the value is already computed or trivially cheap — a literal, a copy, a field access. Use then(|| value) whenever building the value costs something or could panic. Both are stable (then since Rust 1.50, then_some since 1.62) and both read cleaner than the if/else they replace.

#104 Apr 2026

104. Vec::swap_remove — O(1) Removal When Order Doesn't Matter

Calling Vec::remove(i) shifts every element after i left by one — that’s O(n) per call. If you don’t care about order, swap_remove does the same job in O(1).

The hidden cost of Vec::remove

remove takes the value out of the vector, but to keep the rest in order it has to shift every following element left by one slot. On a long vector, removing near the front is a giant memcpy:

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let mut v = vec![1, 2, 3, 4, 5];
let removed = v.remove(1);

assert_eq!(removed, 2);
assert_eq!(v, [1, 3, 4, 5]);

Inside a loop — “remove every item that matches X” — that O(n) cost compounds into O(n²). A tight loop that should be linear silently becomes quadratic.

swap_remove: trade order for speed

swap_remove(i) removes the element at index i by swapping it with the last element, then popping the tail. No shifting, no memcpy chain — just one swap and a pop:

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let mut v = vec![1, 2, 3, 4, 5];
let removed = v.swap_remove(1);

assert_eq!(removed, 2);
// 5 took 2's spot — order is gone, but the op was O(1).
assert_eq!(v, [1, 5, 3, 4]);

If your Vec is really a set — entities in a game world, pending jobs in a worker pool, items keyed by id elsewhere — order rarely matters. swap_remove is free.

Removing many items in place

The classic mistake: iterate forward calling remove. swap_remove lets you do it without the O(n²) blow-up. Walk by index and don’t bump the cursor when you remove:

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let mut nums = vec![1, 2, 3, 4, 5, 6, 7, 8];

let mut i = 0;
while i < nums.len() {
    if nums[i] % 2 == 0 {
        nums.swap_remove(i);
        // Don't increment — a new element is now at position i.
    } else {
        i += 1;
    }
}

nums.sort(); // canonicalize for the assert
assert_eq!(nums, [1, 3, 5, 7]);

For bulk predicate-based filtering, Vec::retain stays cleaner (and is also O(n)). Reach for swap_remove when you have a specific index you want gone in O(1).

With structs

swap_remove returns the removed value, so you can hand it off to another collection on the way out:

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#[derive(PartialEq, Debug)]
struct Job { id: u32 }

let mut queue = vec![
    Job { id: 1 },
    Job { id: 2 },
    Job { id: 3 },
    Job { id: 4 },
];

let pulled = queue.swap_remove(0);

assert_eq!(pulled, Job { id: 1 });
assert_eq!(queue.len(), 3);

When to reach for it

Use swap_remove whenever you’d write remove(i) and the surrounding code doesn’t depend on element order. Order-preserving removal still needs remove, but most “remove one item from this Vec” code is order-agnostic — and swap_remove turns an O(n) pothole into a one-line O(1) win. Stable since Rust 1.0, one of those quietly-essential APIs that’s easy to forget exists.

#102 Apr 2026

102. slice::partition_point — Binary Search That Just Returns the Index

Reaching for binary_search on a sorted Vec and unwrapping Ok(i) | Err(i) because you only ever wanted the index? slice::partition_point skips the Result ceremony and hands you the position directly.

The binary_search annoyance

binary_search is great when you care whether the value was actually found. But often you don’t — you just want the spot where it would go to keep the slice sorted:

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let nums = vec![1, 3, 5, 7, 9, 11];
let target = 6;

// Awkward: collapse Ok and Err to a single index.
let pos = match nums.binary_search(&target) {
    Ok(i) | Err(i) => i,
};

assert_eq!(pos, 3);

The Ok | Err pattern works, but it’s noisy and obscures the intent. Worse, it doesn’t generalise — what if you want the insertion point for a predicate, not an exact value?

partition_point to the rescue

partition_point takes a predicate and returns the first index where the predicate flips from true to false. On a sorted slice, that’s the insertion point — no Result, no match arms:

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let nums = vec![1, 3, 5, 7, 9, 11];

let pos = nums.partition_point(|&x| x < 6);

assert_eq!(pos, 3); // 6 would slot between 5 and 7

The slice still has to be partitioned (all trues before all falses), but for a sorted slice with a < predicate that’s automatic. Internally it’s still O(log n) binary search — same complexity as binary_search, friendlier API.

Insert while keeping sorted

A common use: keep a Vec sorted as you add to it.

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let mut leaderboard = vec![10, 25, 40, 70];
let new_score = 33;

let pos = leaderboard.partition_point(|&x| x < new_score);
leaderboard.insert(pos, new_score);

assert_eq!(leaderboard, [10, 25, 33, 40, 70]);

Compare that to binary_search(&new_score).unwrap_or_else(|i| i) — same result, more ceremony.

Beyond simple ordering

Because it takes any predicate, partition_point works on any slice partitioned by a property — not just sorted-by-Ord. Sorted by a derived key? Filter by a threshold? Same call:

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struct Event { day: u32, name: &'static str }

let log = vec![
    Event { day: 1, name: "boot"   },
    Event { day: 2, name: "login"  },
    Event { day: 5, name: "deploy" },
    Event { day: 7, name: "alert"  },
    Event { day: 9, name: "reboot" },
];

// First event on or after day 5.
let i = log.partition_point(|e| e.day < 5);
assert_eq!(log[i].name, "deploy");

// Number of events strictly before day 5.
assert_eq!(log.partition_point(|e| e.day < 5), 2);

That second line is a slick trick: partition_point doubles as “count how many elements satisfy the prefix predicate” in O(log n).

When to reach for it

Any time you find yourself writing binary_search(...).unwrap_or_else(|i| i) or match ... { Ok(i) | Err(i) => i }, swap in partition_point. Stable since Rust 1.52 — old enough to use everywhere, fresh enough that plenty of code still does it the noisy way.

#101 Apr 2026

101. f64::total_cmp — Sort Floats Without the NaN Panic

Tried v.sort() on a Vec<f64> and hit the trait Ord is not implemented for f64? Then reached for .sort_by(|a, b| a.partial_cmp(b).unwrap()) and now a stray NaN is about to panic your service at 3am? f64::total_cmp is the one-liner that makes both problems disappear.

Why f64 doesn’t implement Ord

Floats form a partial order because NaN is not equal to anything — not even itself. So f64: PartialOrd but not Ord, which means sort() flat out refuses to compile:

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let mut temps: Vec<f64> = vec![21.5, 18.0, 23.0, 19.5];
// temps.sort(); // ❌ the trait `Ord` is not implemented for `f64`

The classic workaround is partial_cmp().unwrap():

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let mut temps: Vec<f64> = vec![21.5, 18.0, 23.0, 19.5];
temps.sort_by(|a, b| a.partial_cmp(b).unwrap());

assert_eq!(temps, [18.0, 19.5, 21.5, 23.0]);

Works — until a NaN sneaks in. Then partial_cmp returns None, the unwrap fires, and your sort becomes a panic.

Enter total_cmp

f64::total_cmp implements the IEEE 754 totalOrder predicate: a real total ordering on every f64 bit pattern, including all the NaNs. It returns Ordering directly — no Option, no panic:

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let mut temps: Vec<f64> = vec![21.5, 18.0, 23.0, 19.5];
temps.sort_by(f64::total_cmp);

assert_eq!(temps, [18.0, 19.5, 21.5, 23.0]);

Same result for well-behaved input, but now NaN won’t take the process down:

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let mut values: Vec<f64> = vec![3.0, f64::NAN, 1.0, f64::NEG_INFINITY, 2.0];
values.sort_by(f64::total_cmp);

// Finite values in order, -∞ at the front, NaN at the back.
assert_eq!(values[0], f64::NEG_INFINITY);
assert_eq!(values[1], 1.0);
assert_eq!(values[2], 2.0);
assert_eq!(values[3], 3.0);
assert!(values[4].is_nan());

min and max too

partial_cmp poisons more than just sort. Any time you reach for iter().max_by(|a, b| a.partial_cmp(b).unwrap()), you’ve written the same latent panic. total_cmp fits there too:

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let readings = [3.2_f64, 1.4, 4.8, 2.1];

let peak = readings.iter().copied().max_by(f64::total_cmp).unwrap();
let low  = readings.iter().copied().min_by(f64::total_cmp).unwrap();

assert_eq!(peak, 4.8);
assert_eq!(low, 1.4);

Sorting structs by a float field

Because total_cmp takes two &f64s and returns Ordering, it slots straight into sort_by:

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struct Trade { symbol: &'static str, price: f64 }

let mut book = vec![
    Trade { symbol: "AAPL", price: 172.40 },
    Trade { symbol: "NVDA", price: 915.10 },
    Trade { symbol: "MSFT", price: 419.80 },
];

book.sort_by(|a, b| a.price.total_cmp(&b.price));

assert_eq!(book[0].symbol, "AAPL");
assert_eq!(book[2].symbol, "NVDA");

When to reach for it

Any time you’re about to type partial_cmp(...).unwrap() for a float, stop and use total_cmp instead. f32::total_cmp works the same way. Available since Rust 1.62 — the fix has been hiding in plain sight for years.

#100 Apr 2026

100. std::cmp::Reverse — Sort Descending Without Writing a Closure

Want to sort a Vec in descending order? The old trick is v.sort_by(|a, b| b.cmp(a)), and every time you write it you flip a and b and pray you got it right. std::cmp::Reverse is a one-word replacement.

The closure swap trick

To sort descending, you reverse the comparison. The closure is short but easy to mess up:

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let mut scores = vec![30, 10, 50, 20, 40];
scores.sort_by(|a, b| b.cmp(a));

assert_eq!(scores, [50, 40, 30, 20, 10]);

Swap the a and b and you silently get ascending order again. Not a bug the compiler can help with.

Enter Reverse

std::cmp::Reverse<T> is a tuple wrapper whose Ord impl is the reverse of T’s. Hand it to sort_by_key and you’re done:

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use std::cmp::Reverse;

let mut scores = vec![30, 10, 50, 20, 40];
scores.sort_by_key(|&s| Reverse(s));

assert_eq!(scores, [50, 40, 30, 20, 10]);

No chance of flipping the comparison the wrong way — the intent is right there in the name.

Sorting by a field, descending

It really shines when you’re sorting structs by a specific field:

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use std::cmp::Reverse;

#[derive(Debug)]
struct Player {
    name: &'static str,
    score: u32,
}

let mut roster = vec![
    Player { name: "Ferris", score: 42 },
    Player { name: "Corro",  score: 88 },
    Player { name: "Rusty",  score: 65 },
];

roster.sort_by_key(|p| Reverse(p.score));

assert_eq!(roster[0].name, "Corro");
assert_eq!(roster[1].name, "Rusty");
assert_eq!(roster[2].name, "Ferris");

Mixing ascending and descending

Sort by one field ascending and another descending? Pack them in a tuple — Reverse composes cleanly:

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use std::cmp::Reverse;

let mut items = vec![
    ("apple",  3),
    ("banana", 1),
    ("apple",  1),
    ("banana", 3),
];

// Name ascending, then count descending.
items.sort_by_key(|&(name, count)| (name, Reverse(count)));

assert_eq!(items, [
    ("apple",  3),
    ("apple",  1),
    ("banana", 3),
    ("banana", 1),
]);

It works anywhere Ord does

Because Reverse<T> is an Ord type, you can use it with BinaryHeap to turn a max-heap into a min-heap, or with BTreeSet to iterate in reverse order — no extra wrapper types needed.

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use std::cmp::Reverse;
use std::collections::BinaryHeap;

// BinaryHeap is max-heap by default. Wrap in Reverse for min-heap behaviour.
let mut heap = BinaryHeap::new();
heap.push(Reverse(3));
heap.push(Reverse(1));
heap.push(Reverse(2));

assert_eq!(heap.pop(), Some(Reverse(1)));
assert_eq!(heap.pop(), Some(Reverse(2)));
assert_eq!(heap.pop(), Some(Reverse(3)));

When to reach for it

Any time you’d write b.cmp(a) — reach for Reverse instead. The code reads top-to-bottom, the intent is obvious, and there’s no comparator to accidentally flip.

99. std::mem::replace — Swap a Value and Keep the Old One

mem::take is great until your type doesn’t have a sensible Default. That’s where mem::replace steps in — you pick what gets left behind, and you still get the old value out of a &mut.

The shape of the problem

You can’t move a value out of a &mut T. The borrow checker rightly refuses. mem::take fixes this by swapping in T::default(), but an enum with no obvious default, or a type that deliberately doesn’t implement Default, leaves you stuck.

mem::replace(dest, src) is the escape hatch: it writes src into *dest and hands you back the old value.

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use std::mem;

let mut greeting = String::from("Hello");
let old = mem::replace(&mut greeting, String::from("Howdy"));

assert_eq!(old, "Hello");
assert_eq!(greeting, "Howdy");

No clones, no unsafe, no Default required.

State machines without a default variant

This is where replace earns its keep. Picture a connection type where none of the variants makes a natural default — Disconnected is fine here, but it might be Error(e) somewhere else, and #[derive(Default)] would be a lie:

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use std::mem;

enum Connection {
    Disconnected,
    Connecting(u32),
    Connected { session: String },
}

fn finalize(conn: &mut Connection) -> Option<String> {
    match mem::replace(conn, Connection::Disconnected) {
        Connection::Connected { session } => Some(session),
        _ => None,
    }
}

let mut c = Connection::Connected { session: String::from("abc123") };
let session = finalize(&mut c);

assert_eq!(session.as_deref(), Some("abc123"));
assert!(matches!(c, Connection::Disconnected));

You get the owned String out of the Connected variant — no cloning the session, no Option<Connection> gymnastics, no unsafe.

Flushing a buffer with a fresh one

mem::take would leave behind an empty Vec with zero capacity. mem::replace lets you pre-size the replacement, which matters if you’re about to refill it:

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use std::mem;

struct Batch {
    items: Vec<u32>,
}

impl Batch {
    fn flush(&mut self) -> Vec<u32> {
        mem::replace(&mut self.items, Vec::with_capacity(16))
    }
}

let mut b = Batch { items: vec![1, 2, 3] };
let drained = b.flush();

assert_eq!(drained, vec![1, 2, 3]);
assert!(b.items.is_empty());
assert_eq!(b.items.capacity(), 16);

Same trick works for swapping in a String::with_capacity(...), a pre-allocated HashMap, or anything where the replacement’s shape is tuned for what comes next.

When to reach for which

mem::take when the type has a cheap, meaningful Default and you don’t care about the leftover. mem::replace when you need to control the replacement — an enum variant, a pre-sized collection, a sentinel value. Both are safe, both are O(1), and both read more clearly than the Option::take / unwrap dance.

98. sort_by_cached_key — Stop Recomputing Expensive Sort Keys

sort_by_key sounds like it computes the key once per element. It doesn’t — it calls your closure at every comparison, so an n-element sort can pay for that key O(n log n) times. If the key is expensive, sort_by_cached_key is the fix you’ve been looking for.

The trap

The signature reads nicely: “sort by this key.” The implementation, less so — the closure fires on every comparison, not once per element:

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use std::cell::Cell;

let mut items = vec!["banana", "fig", "apple", "cherry", "date"];
let calls = Cell::new(0);

items.sort_by_key(|s| {
    calls.set(calls.get() + 1);
    // Pretend this is a heavy computation: allocating, hashing,
    // parsing, calling a regex, opening a file, etc.
    s.to_string()
});

// 5 elements, but the key ran way more than 5 times.
assert!(calls.get() > items.len());
assert_eq!(items, ["apple", "banana", "cherry", "date", "fig"]);

For identity keys that cost a pointer-deref, nobody cares. For anything that allocates.to_string(), .to_lowercase(), format!(...), a regex capture, a trimmed-and-lowered filename — the cost compounds quickly. I’ve seen a profile where 80% of total runtime was the key closure being called 40,000 times to sort 2,000 items.

The fix

slice::sort_by_cached_key runs your closure exactly once per element, stashes the results in a scratch buffer, then sorts against the cache. This is the Schwartzian transform, wrapped up in a method call:

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use std::cell::Cell;

let mut items = vec!["banana", "fig", "apple", "cherry", "date"];
let calls = Cell::new(0);

items.sort_by_cached_key(|s| {
    calls.set(calls.get() + 1);
    s.to_string()
});

// Exactly one call per element — no matter how big the slice is.
assert_eq!(calls.get(), items.len());
assert_eq!(items, ["apple", "banana", "cherry", "date", "fig"]);

Same result, linear key-function calls. The memory trade is a Vec<(K, usize)> the size of the slice — cheap next to the cost of re-running an allocating closure on every compare.

When to reach for which

The rule is about where your time goes, not how fancy the key looks:

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let mut nums = vec![5u32, 2, 8, 1, 9, 3];

// Trivial key: sort_by_key is fine (and avoids the scratch alloc).
nums.sort_by_key(|n| *n);
assert_eq!(nums, [1, 2, 3, 5, 8, 9]);

// Expensive key: sort_by_cached_key wins.
let mut files = vec!["Cargo.TOML", "src/MAIN.rs", "README.md", "build.RS"];
files.sort_by_cached_key(|path| path.to_lowercase());
assert_eq!(files, ["build.RS", "Cargo.TOML", "README.md", "src/MAIN.rs"]);

Use sort_by_key for cheap, Copy-ish keys. Use sort_by_cached_key the moment your closure allocates, hashes, parses, or otherwise does real work — it’s the difference between O(n log n) and O(n) calls to that closure.

#097 Apr 2026

97. Option::take_if — Take the Value Out Only When You Want To

You want to pull a value out of an Option — but only if it meets some condition. Before take_if, that little sentence turned into a five-line dance with as_ref, is_some_and, and a separate take(). Now it’s one call.

The old dance

Say you hold an Option<Session> and you want to evict it if it’s expired, otherwise leave it alone. The naive version keeps ownership juggling in your face:

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#[derive(Debug, PartialEq)]
struct Session { id: u32, age: u32 }

let mut slot: Option<Session> = Some(Session { id: 1, age: 45 });

// Old way: peek, decide, then take.
let evicted = if slot.as_ref().is_some_and(|s| s.age > 30) {
    slot.take()
} else {
    None
};

assert_eq!(evicted, Some(Session { id: 1, age: 45 }));
assert!(slot.is_none());

Three lines of control flow just to express “take it if it’s stale.” And if you ever need to inspect the value more deeply, you’re one borrow-checker nudge away from rewriting the whole thing.

Enter take_if

Option::take_if bakes the whole pattern into one method — it runs your predicate on the inner value, and if the predicate returns true, it take()s it for you:

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let mut slot: Option<Session> = Some(Session { id: 2, age: 12 });

// Young session — predicate is false, nothing happens.
let evicted = slot.take_if(|s| s.age > 30);
assert_eq!(evicted, None);
assert!(slot.is_some());

// Age it and try again.
if let Some(s) = slot.as_mut() { s.age = 99; }
let evicted = slot.take_if(|s| s.age > 30);
assert_eq!(evicted.unwrap().id, 2);
assert!(slot.is_none());

One line, one branch, one name for the pattern.

The mutable twist

Here’s the detail that trips people up: the predicate receives &mut T, not &T. You can mutate the inner value before deciding whether to yank it:

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let mut counter: Option<u32> = Some(0);

// Bump on every call; take it once it hits the threshold.
for _ in 0..5 {
    let taken = counter.take_if(|n| {
        *n += 1;
        *n >= 3
    });
    if let Some(n) = taken {
        assert_eq!(n, 3);
    }
}

assert!(counter.is_none());

Useful for cache eviction with hit counters, retry-until-exhausted slots, or anywhere “inspect, maybe mutate, maybe remove” shows up. Reach for take_if whenever you find yourself writing if condition { x.take() } else { None }.

96. Result::inspect_err — Log Errors Without Breaking the ? Chain

You want to log an error but still bubble it up with ?. The usual trick is .map_err with a closure that sneaks in a eprintln! and returns the error unchanged. Result::inspect_err does that for you — and reads like what you meant.

The problem: logging mid-chain

You’re happily propagating errors with ?, but somewhere in the pipeline you want to peek at the failure — log it, bump a metric, attach context — without otherwise touching the value:

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fn load_config(path: &str) -> Result<String, std::io::Error> {
    std::fs::read_to_string(path)
}

fn run(path: &str) -> Result<String, std::io::Error> {
    // We want to log the error here, but still return it.
    let cfg = load_config(path)?;
    Ok(cfg)
}

Adding a println! means breaking the chain, introducing a match, or writing a no-op map_err:

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# fn load_config(path: &str) -> Result<String, std::io::Error> {
#     std::fs::read_to_string(path)
# }
fn run(path: &str) -> Result<String, std::io::Error> {
    let cfg = load_config(path).map_err(|e| {
        eprintln!("failed to read {}: {}", path, e);
        e  // have to return the error unchanged — easy to mess up
    })?;
    Ok(cfg)
}

That closure always has to end with e. Miss it and you’re silently changing the error type — or worse, swallowing it.

The fix: inspect_err

Stabilized in Rust 1.76, Result::inspect_err runs a closure on the error by reference and passes the Result through untouched:

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# fn load_config(path: &str) -> Result<String, std::io::Error> {
#     std::fs::read_to_string(path)
# }
fn run(path: &str) -> Result<String, std::io::Error> {
    let cfg = load_config(path)
        .inspect_err(|e| eprintln!("failed to read config: {e}"))?;
    Ok(cfg)
}

The closure takes &E, so there’s nothing to return and nothing to get wrong. The value flows straight through to ?.

The Ok side too

There’s a mirror image for the happy path: Result::inspect. Same idea — &T in, nothing out, value preserved:

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let parsed: Result<u16, _> = "8080"
    .parse::<u16>()
    .inspect(|port| println!("parsed port: {port}"))
    .inspect_err(|e| eprintln!("parse failed: {e}"));

assert_eq!(parsed, Ok(8080));

Both methods exist on Option too (Option::inspect) — handy when you want to trace a Some without consuming it.

Why it’s nicer than map_err

map_err is for transforming errors. inspect_err is for observing them. Using the right tool means:

  • No accidental error swallowing — the closure can’t return the wrong type.
  • The intent is obvious at a glance: this is a side effect, not a transformation.
  • It composes cleanly with ?, and_then, and the rest of the Result toolbox.
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# fn load_config(path: &str) -> Result<String, std::io::Error> {
#     std::fs::read_to_string(path)
# }
// Chain several observations together without ceremony.
let _ = load_config("/does/not/exist")
    .inspect(|cfg| println!("loaded {} bytes", cfg.len()))
    .inspect_err(|e| eprintln!("load failed: {e}"));

Reach for inspect_err any time you’d otherwise write map_err(|e| { log(&e); e }) — you’ll have one less footgun and one less line.

95. LazyLock::get — Peek at a Lazy Value Without Initializing It

Wanted to know whether a LazyLock has been initialized yet — without causing the initialization by touching it? Rust 1.94 stabilises LazyLock::get and LazyCell::get, which return Option<&T> and leave the closure untouched if it hasn’t fired.

The old pain

Any access that goes through Deref forces the closure to run. So the moment you do *CONFIG — or anything that implicitly derefs — the lazy becomes eager. Before 1.94 there was no way to ask “has this been initialized?” without tripping that wire.

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use std::sync::LazyLock;

static CONFIG: LazyLock<Vec<String>> = LazyLock::new(|| {
    // Imagine this is slow: reads a file, hits the network, etc.
    vec!["debug".into(), "verbose".into()]
});

fn main() {
    // No way to peek without paying the init cost
    let _ = CONFIG.len(); // forces init
    assert_eq!(CONFIG.len(), 2);
}

Handy enough, but if you want a metric like “was the config ever read?” you’d have to wrap the whole thing in your own AtomicBool.

The fix: LazyLock::get

Called as an associated function (LazyLock::get(&lock)), it returns Option<&T> without touching the closure. None means the lazy is still pending. Some(&value) means someone already forced it.

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use std::sync::LazyLock;

static CONFIG: LazyLock<Vec<String>> = LazyLock::new(|| {
    vec!["debug".into(), "verbose".into()]
});

fn main() {
    // Not yet initialised — get returns None
    assert!(LazyLock::get(&CONFIG).is_none());

    // Force init via normal deref
    assert_eq!(CONFIG.len(), 2);

    // Now get returns Some(&value)
    let peek = LazyLock::get(&CONFIG).unwrap();
    assert_eq!(peek.len(), 2);
}

Note the call style: LazyLock::get(&CONFIG), not CONFIG.get(). That’s deliberate — method-lookup on the lock itself would go through Deref, which is exactly the thing we’re trying to avoid.

Same story for LazyCell

LazyCell is the single-threaded cousin and gets the same treatment:

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use std::cell::LazyCell;

fn main() {
    let greeting = LazyCell::new(|| "Hello, Rust!".to_uppercase());

    // Not forced yet
    assert!(LazyCell::get(&greeting).is_none());

    // Deref triggers the closure
    assert_eq!(*greeting, "HELLO, RUST!");

    // Now we can peek without re-running anything
    assert_eq!(LazyCell::get(&greeting), Some(&"HELLO, RUST!".to_string()));
}

Where this shines

Two patterns fall out naturally.

Metrics and diagnostics. You want to log “did we ever load the config?” at shutdown without accidentally loading it just to find out:

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use std::sync::LazyLock;

static CACHE: LazyLock<Vec<u64>> = LazyLock::new(|| (0..1000).collect());

fn was_cache_used() -> bool {
    LazyLock::get(&CACHE).is_some()
}

fn main() {
    assert!(!was_cache_used());
    let _ = CACHE.first(); // touch it
    assert!(was_cache_used());
}

Tests. Assert that the lazy init didn’t happen on a code path that shouldn’t need it — a guarantee that was basically impossible to write before.

When to reach for it

Use LazyLock::get / LazyCell::get whenever you need to ask about initialization state without causing it. For everything else, just deref as usual — that’s still the one-liner that Just Works.

Stabilised in Rust 1.94 (March 2026).

94. ControlFlow::is_break and is_continue — Ask the Flow Which Way It Went

Got a ControlFlow back from try_fold or a visitor and just want to know which variant you’re holding? Before 1.95 you either pattern-matched or reached for matches!. Rust 1.95 adds straightforward .is_break() and .is_continue() methods.

The old pain

ControlFlow<B, C> is the enum that powers short-circuiting iterator methods like try_for_each and try_fold. Once you had one, checking which arm it was took more ceremony than you’d expect:

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use std::ops::ControlFlow;

fn first_over(v: &[i32], n: i32) -> ControlFlow<i32> {
    v.iter().try_for_each(|&x| {
        if x > n { ControlFlow::Break(x) } else { ControlFlow::Continue(()) }
    })
}

fn main() {
    let flow = first_over(&[1, 2, 3, 10, 4], 5);
    // Want a bool? Reach for matches!
    let found = matches!(flow, ControlFlow::Break(_));
    assert!(found);
}

The name ControlFlow::Break also collides visually with loop break, so code like this reads a bit awkwardly.

The fix: inherent is_break / is_continue

Rust 1.95 stabilises two one-line accessors, mirroring Result::is_ok / is_err and Option::is_some / is_none:

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use std::ops::ControlFlow;

fn first_over(v: &[i32], n: i32) -> ControlFlow<i32> {
    v.iter().try_for_each(|&x| {
        if x > n { ControlFlow::Break(x) } else { ControlFlow::Continue(()) }
    })
}

fn main() {
    let hit = first_over(&[1, 2, 3, 10, 4], 5);
    let miss = first_over(&[1, 2, 3], 5);

    assert!(hit.is_break());
    assert!(!hit.is_continue());

    assert!(miss.is_continue());
    assert!(!miss.is_break());
}

No pattern, no import of a macro, no wildcards.

Handy in counting and filtering

Because the methods take &self, you can pipe results straight through iterator adapters:

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use std::ops::ControlFlow;

fn main() {
    let flows: Vec<ControlFlow<&'static str, i32>> = vec![
        ControlFlow::Continue(1),
        ControlFlow::Break("boom"),
        ControlFlow::Continue(2),
        ControlFlow::Break("fire"),
        ControlFlow::Continue(3),
    ];

    let breaks = flows.iter().filter(|f| f.is_break()).count();
    let continues = flows.iter().filter(|f| f.is_continue()).count();

    assert_eq!(breaks, 2);
    assert_eq!(continues, 3);
}

Previously you’d write |f| matches!(f, ControlFlow::Break(_)) — shorter, but noisier and requires you to name the variant (which means a use or a fully-qualified path).

It’s just a bool — but it’s the right bool

Nothing here is groundbreaking: you could always write a matches!. But when a method exists on Result and Option and Poll and hash iterators and even Peekable, not having one on ControlFlow meant reaching for a different idiom for no good reason. 1.95 closes that small gap.

Stabilised in Rust 1.95 (April 2026).

93. MaybeUninit Array Conversions — Build Fixed Arrays Without transmute

Ever tried to build a [T; N] element-by-element and ended up reaching for mem::transmute because [MaybeUninit<T>; N] refused to convert? Rust 1.95 stabilises safe conversions between [MaybeUninit<T>; N] and MaybeUninit<[T; N]> — no transmute, no tricks.

The old pain

You want a fully-initialised [T; N], but T isn’t Default (or the init is fallible, or expensive). The canonical pattern is:

  1. Allocate [MaybeUninit<T>; N] uninitialised.
  2. Fill each slot.
  3. Get a [T; N] out the other end.

Step 3 is where it got ugly. MaybeUninit::assume_init only works on MaybeUninit<T>, not [MaybeUninit<T>; N]. To flip the array-of-uninits into uninit-of-array, you reached for mem::transmute — which works, but leans on layout assumptions and carries a big “here be dragons” vibe.

The fix: From conversions

Rust 1.95 stabilises both directions of the conversion, so no transmute is needed:

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use std::mem::MaybeUninit;

fn main() {
    let arr: [MaybeUninit<u32>; 4] = [
        MaybeUninit::new(1),
        MaybeUninit::new(2),
        MaybeUninit::new(3),
        MaybeUninit::new(4),
    ];

    // [MaybeUninit<T>; N] -> MaybeUninit<[T; N]>
    let packed: MaybeUninit<[u32; 4]> = MaybeUninit::from(arr);
    let init: [u32; 4] = unsafe { packed.assume_init() };

    assert_eq!(init, [1, 2, 3, 4]);
}

MaybeUninit::from takes the array-of-uninits and gives you an uninit-of-array ready to assume_init. Safe, obvious, no layout assumption on your part.

The reverse direction

You can also go the other way — from MaybeUninit<[T; N]> back to [MaybeUninit<T>; N] — useful when you want to touch elements individually:

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use std::mem::MaybeUninit;

fn main() {
    let packed: MaybeUninit<[u32; 3]> = MaybeUninit::new([10, 20, 30]);

    // MaybeUninit<[T; N]> -> [MaybeUninit<T>; N]
    let unpacked: [MaybeUninit<u32>; 3] = <[MaybeUninit<u32>; 3]>::from(packed);

    let values: [u32; 3] = unsafe {
        [
            unpacked[0].assume_init(),
            unpacked[1].assume_init(),
            unpacked[2].assume_init(),
        ]
    };
    assert_eq!(values, [10, 20, 30]);
}

Plus AsRef / AsMut for free

The same release adds AsRef<[MaybeUninit<T>; N]> and AsMut<[MaybeUninit<T>; N]> (plus slice versions) for MaybeUninit<[T; N]>. That means you can borrow the uninit array as a slice without any conversion ceremony:

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use std::mem::MaybeUninit;

fn fill_evens(buf: &mut [MaybeUninit<u32>]) {
    for (i, slot) in buf.iter_mut().enumerate() {
        slot.write(i as u32 * 2);
    }
}

fn main() {
    let mut packed: MaybeUninit<[u32; 4]> = MaybeUninit::uninit();

    // AsMut<[MaybeUninit<T>]> — borrow as a mutable slice of slots
    fill_evens(packed.as_mut());

    let init: [u32; 4] = unsafe { packed.assume_init() };
    assert_eq!(init, [0, 2, 4, 6]);
}

The helper writes through the AsMut slice view; the caller gets a fully-initialised [u32; 4] after assume_init. No transmute, no pointer casting.

When to reach for it

This is niche — you don’t need it until you’re writing generic collection code, FFI wrappers, or allocator-like APIs that build arrays without Default. But when you do, the new conversions delete an uncomfortable transmute from your codebase and make the intent explicit.

Stabilised in Rust 1.95 (April 2026).

92. core::range — Range Types You Can Actually Copy

Ever tried to reuse a 0..=10 range and hit “use of moved value”? Rust 1.95 stabilises core::range, a new module of range types that implement Copy.

The old pain

The classic range types in std::opsRange, RangeInclusive — are iterators themselves. That means iterating them consumes them, and they can’t be Copy:

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let r = 0..=5;
let a: Vec<_> = r.clone().collect();
let b: Vec<_> = r.collect(); // consumes r
// r is gone here

Every time you want to reuse a range you reach for .clone() or rebuild it. Annoying for something that looks like a pair of integers.

The fix: core::range

Rust 1.95 adds new range types in core::range (re-exported as std::range). They’re plain data — Copy, no iterator state baked in — and you turn them into an iterator on demand with .into_iter():

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use core::range::RangeInclusive;

fn main() {
    let r: RangeInclusive<i32> = (0..=5).into();

    let a: Vec<i32> = r.into_iter().collect();
    let b: Vec<i32> = r.into_iter().collect(); // r is Copy, still usable

    assert_eq!(a, vec![0, 1, 2, 3, 4, 5]);
    assert_eq!(a, b);
}

No .clone(), no rebuild. r is just two numbers behind the scenes, so copying it is free.

Passing ranges around

Because the new types are Copy, you can pass them into helpers without worrying about move semantics:

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use core::range::RangeInclusive;

fn sum_range(r: RangeInclusive<i32>) -> i32 {
    r.into_iter().sum()
}

fn main() {
    let r: RangeInclusive<i32> = (1..=4).into();

    assert_eq!(sum_range(r), 10);
    assert_eq!(sum_range(r), 10); // reuse: r is Copy
}

The old std::ops::RangeInclusive would have been moved by the first call.

Field access, not method calls

The new types expose their bounds as public fields — no more .start() / .end() accessors. For RangeInclusive, the upper bound is called last (emphasising that it’s included):

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use core::range::RangeInclusive;

fn main() {
    let r: RangeInclusive<i32> = (10..=20).into();

    assert_eq!(r.start, 10);
    assert_eq!(r.last, 20);
}

Exclusive Range has start and end in the same way. Either one is simple plain-old-data that you can pattern-match, destructure, or read directly.

When to reach for it

Use core::range whenever you want to store, pass, or reuse a range as a value. The old std::ops ranges are still everywhere (literal syntax, slice indexing, for loops), so there’s no rush to migrate — but for library APIs that take ranges as parameters, the new types are the friendlier choice.

Stabilised in Rust 1.95 (April 2026).

91. bool::try_from — Convert Integers to Booleans Safely

Need to turn a 0 or 1 from a database, config file, or FFI boundary into a bool? bool::try_from does it safely — rejecting anything that isn’t 0 or 1. Stabilized in Rust 1.95.

The old way: match or panic

When you get integer flags from external sources — database columns, binary protocols, C APIs — you need to convert them to bool. Before 1.95, you’d write your own:

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fn int_to_bool(v: u8) -> Result<bool, String> {
    match v {
        0 => Ok(false),
        1 => Ok(true),
        other => Err(format!("invalid bool value: {other}")),
    }
}

Or worse, you’d just do v != 0 and silently treat 42 as true, hiding data corruption.

The new way: bool::try_from

Rust 1.95 stabilizes TryFrom<{integer}> for bool across all integer types — u8, i32, u64, you name it:

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fn main() {
    let t = bool::try_from(1u8);
    let f = bool::try_from(0i32);
    let e = bool::try_from(2u8);

    assert_eq!(t, Ok(true));
    assert_eq!(f, Ok(false));
    assert!(e.is_err());

    println!("{t:?}"); // Ok(true)
    println!("{f:?}"); // Ok(false)
    println!("{e:?}"); // Err(TryFromIntError(()))
}

Only 0 maps to false and 1 maps to true. Everything else returns Err(TryFromIntError). No silent coercion, no panics.

Real-world usage: parsing a config

Here’s where it shines — reading flags from external data:

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use std::collections::HashMap;

fn main() {
    // Simulating values from a config file or database row
    let config: HashMap<&str, i64> = HashMap::from([
        ("verbose", 1),
        ("dry_run", 0),
        ("debug", 3),  // invalid!
    ]);

    for (key, &val) in &config {
        match bool::try_from(val) {
            Ok(flag) => println!("{key} = {flag}"),
            Err(_) => eprintln!("warning: {key} has invalid bool value: {val}"),
        }
    }
}

Instead of silently treating 3 as true, you get a clear warning and a chance to handle bad data properly.

Why not just val != 0?

The C convention of “zero is false, everything else is true” works fine when you control the data. But when parsing untrusted input — database rows, wire protocols, config files — a value of 255 probably means something went wrong. bool::try_from catches that; != 0 hides it.

One method call, no custom helpers, no silent bugs.

90. black_box — Stop the Compiler From Erasing Your Benchmarks

Your benchmark ran in 0 nanoseconds? Congratulations — the compiler optimised away the code you were trying to measure. std::hint::black_box prevents that by hiding values from the optimiser.

The problem: the optimiser is too smart

The Rust compiler aggressively eliminates dead code. If it can prove a result is never used, it simply removes the computation:

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fn sum_range(n: u64) -> u64 {
    (0..n).sum()
}

fn main() {
    let start = std::time::Instant::now();
    let result = sum_range(10_000_000);
    let elapsed = start.elapsed();

    // Without using `result`, the compiler may skip the entire computation
    println!("took: {elapsed:?}");

    // Force the result to be "used" so the above isn't optimised out
    assert!(result > 0);
}

In release mode, the compiler can see through this and may still optimise the loop away — or even compute the answer at compile time. Your benchmark reports near-zero time, and you learn nothing.

Enter black_box

std::hint::black_box takes a value and returns it unchanged, but the compiler treats it as an opaque barrier — it can’t see through it, so it can’t optimise away whatever produced that value:

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use std::hint::black_box;

fn sum_range(n: u64) -> u64 {
    (0..n).sum()
}

fn main() {
    let start = std::time::Instant::now();
    let result = sum_range(black_box(10_000_000));
    let _ = black_box(result);
    let elapsed = start.elapsed();

    println!("sum = {result}, took: {elapsed:?}");
}

Two black_box calls do the trick:

  1. Wrap the input — prevents the compiler from constant-folding the argument
  2. Wrap the output — prevents dead-code elimination of the computation

Before and after

Without black_box (release mode):

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sum = 49999995000000, took: 83ns     ← suspiciously fast

With black_box (release mode):

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sum = 49999995000000, took: 5.612ms  ← actual work

It works on any type

black_box is generic — it works on integers, strings, structs, references, whatever:

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use std::hint::black_box;

fn main() {
    // Hide a vector from the optimiser
    let data: Vec<i32> = black_box(vec![1, 2, 3, 4, 5]);
    let total: i32 = data.iter().sum();
    let total = black_box(total);

    assert_eq!(total, 15);
}

Micro-benchmark recipe

Here’s a minimal pattern for quick-and-dirty micro-benchmarks:

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use std::hint::black_box;
use std::time::Instant;

fn fibonacci(n: u32) -> u64 {
    match n {
        0 => 0,
        1 => 1,
        _ => fibonacci(n - 1) + fibonacci(n - 2),
    }
}

fn main() {
    let iterations = 100;
    let start = Instant::now();
    for _ in 0..iterations {
        black_box(fibonacci(black_box(30)));
    }
    let elapsed = start.elapsed();
    println!("{iterations} runs in {elapsed:?} ({:?}/iter)", elapsed / iterations);
}

Without black_box, the compiler could hoist the pure function call out of the loop or eliminate it entirely. With it, each iteration does real work.

When to use it

Reach for black_box whenever you’re timing code and the results look suspiciously fast. It’s also the foundation that benchmarking frameworks like criterion and the built-in #[bench] use under the hood.

It’s not a full benchmarking harness — for serious measurement you still want warmup, statistics, and outlier detection. But when you need a quick sanity check, black_box + Instant gets the job done.

Available since Rust 1.66 on stable.

89. cold_path — Tell the Compiler Which Branch Won't Happen

Your error-handling branch fires once in a million calls, but the compiler doesn’t know that. core::hint::cold_path lets you mark unlikely branches so the optimiser can focus on the hot path.

Why branch layout matters

Modern CPUs predict which way a branch will go and speculatively execute instructions ahead of time. When the prediction is right, execution flies. When it’s wrong, the pipeline stalls.

Compilers already try to guess which branches are hot, but they don’t always get it right — especially when both sides of an if look equally plausible from a static analysis perspective. That’s where cold_path comes in.

The basics

Call cold_path() at the start of a branch that is rarely taken:

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use std::hint::cold_path;

fn process(value: Option<u64>) -> u64 {
    if let Some(v) = value {
        v * 2
    } else {
        cold_path();
        log_miss();
        0
    }
}

fn log_miss() {
    // imagine logging or metrics here
}

The compiler now knows the else arm is unlikely. It can lay out the machine code so the hot path (the Some arm) has no jumps, keeping it in the instruction cache and the branch predictor happy.

In match expressions

cold_path works well in match arms too — mark the rare variants:

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use std::hint::cold_path;

fn handle_status(code: u16) -> &'static str {
    match code {
        200 => "ok",
        301 => "moved",
        404 => { cold_path(); "not found" }
        500 => { cold_path(); "server error" }
        _   => { cold_path(); "unknown" }
    }
}

Only the branches you expect to be common stay on the fast track.

Building likely and unlikely helpers

If you’ve used C/C++, you might miss __builtin_expect. With cold_path you can build the same thing:

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use std::hint::cold_path;

#[inline(always)]
const fn likely(b: bool) -> bool {
    if !b { cold_path(); }
    b
}

#[inline(always)]
const fn unlikely(b: bool) -> bool {
    if b { cold_path(); }
    b
}

fn check_bounds(index: usize, len: usize) -> bool {
    if unlikely(index >= len) {
        panic!("out of bounds: {} >= {}", index, len);
    }
    true
}

Now you can annotate conditions directly instead of marking individual branches.

A word of caution

Misusing cold_path on a branch that actually runs often can hurt performance — the compiler will deprioritise it, and you’ll get more pipeline stalls, not fewer. Always benchmark before sprinkling hints around. Profile first, hint second.

The bottom line

cold_path is a zero-cost, zero-argument function that tells the optimiser what you already know: this branch is the exception, not the rule. It’s a small tool, but in hot loops and latency-sensitive code, it can make a measurable difference.

Stabilised in Rust 1.95 (April 2026).

88. Vec::push_mut — Push and Modify in One Step

Tired of pushing a default into a Vec and then grabbing a mutable reference to fill it in? Rust 1.95 stabilises push_mut, which returns &mut T to the element it just inserted.

The old dance

A common pattern is to push a placeholder value and then immediately mutate it. Before push_mut, you had to do an awkward two-step:

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let mut names = Vec::new();

// Push, then index back in to mutate
names.push(String::new());
let last = names.last_mut().unwrap();
last.push_str("hello");
last.push_str(", world");

assert_eq!(names[0], "hello, world");

That last_mut().unwrap() is boilerplate — you know the element is there because you just pushed it. Worse, in more complex code the compiler can’t always prove the reference is safe, forcing you into index gymnastics.

Enter push_mut

push_mut pushes the value and hands you back a mutable reference in one shot:

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let mut scores = Vec::new();

let entry = scores.push_mut(0);
*entry += 10;
*entry += 25;

assert_eq!(scores[0], 35);

No unwraps, no indexing, no second lookup. The borrow checker is happy because there’s a clear chain of ownership.

Building structs in-place

This really shines when you’re constructing complex values piece by piece:

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#[derive(Debug, Default)]
struct Player {
    name: String,
    score: u32,
    active: bool,
}

let mut roster = Vec::new();

let p = roster.push_mut(Player::default());
p.name = String::from("Ferris");
p.score = 100;
p.active = true;

assert_eq!(roster[0].name, "Ferris");
assert_eq!(roster[0].score, 100);
assert!(roster[0].active);

Instead of building the struct fully before pushing, you push a default and fill it in. This can be handy when the final field values depend on context you only have after insertion.

Also works for insert_mut

Need to insert at a specific index? insert_mut follows the same pattern:

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let mut v = vec![1, 3, 4];
let inserted = v.insert_mut(1, 2);
*inserted *= 10;

assert_eq!(v, [1, 20, 3, 4]);

Both methods are also available on VecDeque (push_front_mut, push_back_mut, insert_mut) and LinkedList (push_front_mut, push_back_mut).

When to reach for it

Use push_mut whenever you’d otherwise write push followed by last_mut().unwrap(). It’s one less unwrap, one fewer line, and clearer intent: push this, then let me tweak it.

Stabilised in Rust 1.95 (April 2026) — update your toolchain and give it a spin.

#087 Apr 2026

87. Atomic update — Kill the Compare-and-Swap Loop

Every Rust developer who’s written lock-free code has written the same compare_exchange loop. Rust 1.95 finally gives atomics an update method that does it for you.

The old way

Atomically doubling a counter used to mean writing a retry loop yourself:

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use std::sync::atomic::{AtomicUsize, Ordering};

let counter = AtomicUsize::new(10);

loop {
    let current = counter.load(Ordering::Relaxed);
    let new_val = current * 2;
    match counter.compare_exchange(
        current, new_val,
        Ordering::SeqCst, Ordering::Relaxed,
    ) {
        Ok(_) => break,
        Err(_) => continue,
    }
}
// counter is now 20

It works, but it’s boilerplate — and easy to get wrong (use the wrong ordering, forget to retry, etc.).

The new way: update

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use std::sync::atomic::{AtomicUsize, Ordering};

let counter = AtomicUsize::new(10);

counter.update(Ordering::SeqCst, Ordering::SeqCst, |x| x * 2);
// counter is now 20

One line. No loop. No chance of forgetting to retry on contention.

The method takes two orderings (one for the store on success, one for the load on failure) and a closure that transforms the current value. It handles the compare-and-swap retry loop internally.

It returns the previous value

Just like fetch_add and friends, update returns the value before the update:

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use std::sync::atomic::{AtomicUsize, Ordering};

let counter = AtomicUsize::new(5);

let prev = counter.update(Ordering::SeqCst, Ordering::SeqCst, |x| x + 3);
assert_eq!(prev, 5);  // was 5
assert_eq!(counter.load(Ordering::SeqCst), 8);  // now 8

This makes it perfect for “fetch-and-modify” patterns where you need the old value.

Works on all atomic types

update isn’t just for AtomicUsize — it’s available on AtomicBool, AtomicIsize, AtomicUsize, and AtomicPtr too:

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use std::sync::atomic::{AtomicBool, Ordering};

let flag = AtomicBool::new(false);
flag.update(Ordering::SeqCst, Ordering::SeqCst, |x| !x);
assert_eq!(flag.load(Ordering::SeqCst), true);

When to use update vs fetch_add

If your operation is a simple add, sub, or bitwise op, the specialized fetch_* methods are still better — they compile down to a single atomic instruction on most architectures.

Use update when your transformation is more complex: clamping, toggling state machines, applying arbitrary functions. Anywhere you’d previously hand-roll a CAS loop.

Summary

MethodUse when
fetch_add, fetch_or, etc.Simple arithmetic/bitwise ops
updateArbitrary transformations (Rust 1.95+)
Manual CAS loopNever again (mostly)

Available on stable since Rust 1.95.0 for AtomicBool, AtomicIsize, AtomicUsize, and AtomicPtr.

86. cfg_select! — Compile-Time Match on Platform and Features

Stop stacking #[cfg] blocks that contradict each other — cfg_select! gives you a match-like syntax for conditional compilation, right in the standard library.

The old way: a wall of #[cfg]

When you need platform-specific code, the traditional approach is a series of #[cfg(...)] attributes. It works, but nothing ties the branches together — you can easily miss a platform or accidentally define the same function twice.

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#[cfg(unix)]
fn default_shell() -> &'static str { "/bin/sh" }

#[cfg(windows)]
fn default_shell() -> &'static str { "cmd.exe" }

// Forgot wasm? Forgot the fallback? The compiler won't tell you
// until someone tries to build on an unsupported target.

The fix: cfg_select!

Stabilized in Rust 1.95, cfg_select! works like a compile-time match. The compiler evaluates each cfg predicate top to bottom and emits only the first matching arm. Add a _ wildcard for a catch-all.

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cfg_select! {
    unix => {
        fn default_shell() -> &'static str { "/bin/sh" }
    }
    windows => {
        fn default_shell() -> &'static str { "cmd.exe" }
    }
    _ => {
        fn default_shell() -> &'static str { "sh" }
    }
}

The branches are mutually exclusive by design — exactly one fires. No more worrying about overlapping #[cfg] blocks or missing targets.

It works in expression position too

Need a quick platform-dependent value? Skip the braces:

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let path_sep = cfg_select! {
    windows => '\\',
    _ => '/',
};

assert_eq!(path_sep, '/'); // on unix

This is far cleaner than wrapping a let in two separate #[cfg] attributes or pulling in the cfg-if crate.

Why this matters

Before 1.95, the community relied on the cfg-if crate for this exact pattern — it has over 300 million downloads. Now the same functionality ships in std, with one less dependency to track and a syntax the compiler can verify directly.

85. cast_signed & cast_unsigned — Explicit Sign Casting for Integers

Stop using as to flip between signed and unsigned integers — cast_signed() and cast_unsigned() say exactly what you mean.

The problem with as

When you write value as u32 or value as i64, the as keyword does too many things at once: it can change the sign, widen, truncate, or even convert floats. Readers have to mentally verify which conversion is actually happening.

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let x: i32 = -1;
let y = x as u32;  // Sign cast? Truncation? Widening? All of the above?

The fix: cast_signed() and cast_unsigned()

Stabilized in Rust 1.87, these methods only reinterpret the sign of an integer — same bit width, same bits, just a different type. If you accidentally try to change the size, it won’t compile.

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let signed: i32 = -1;
let unsigned: u32 = signed.cast_unsigned();
assert_eq!(unsigned, u32::MAX); // Same bits, different interpretation

let back: i32 = unsigned.cast_signed();
assert_eq!(back, -1); // Round-trips perfectly

The key constraint: these methods only exist between same-sized pairs (i32u32, i64u64, etc.). There’s no i32::cast_unsigned() returning a u64 — that would silently widen, which is exactly the kind of ambiguity these methods eliminate.

Where this shines

Bit manipulation is the classic use case. When you need to treat an unsigned value as signed for arithmetic and then go back, the intent is crystal clear:

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fn wrapping_distance(a: u32, b: u32) -> i32 {
    a.wrapping_sub(b).cast_signed()
}

assert_eq!(wrapping_distance(10, 3), 7);
assert_eq!(wrapping_distance(3, 10), -7);

Compare that to the as version — a.wrapping_sub(b) as i32 — and you can see why reviewers love the explicit method. It’s one less thing to second-guess in a code review.

84. Result::flatten — Unwrap Nested Results in One Call

You have a Result<Result<T, E>, E> and just want the inner Result<T, E>. Before Rust 1.89, that meant a clunky and_then(|r| r). Now there’s Result::flatten.

The problem: nested Results

Nested Results crop up naturally — call a function that returns Result, then map over the success with another fallible operation:

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fn parse_port(s: &str) -> Result<u16, String> {
    s.parse::<u16>().map_err(|e| e.to_string())
}

fn validate_port(port: u16) -> Result<u16, String> {
    if port >= 1024 {
        Ok(port)
    } else {
        Err(format!("port {} is privileged", port))
    }
}

let input = "8080";
let nested: Result<Result<u16, String>, String> =
    parse_port(input).map(|p| validate_port(p));
// nested is Ok(Ok(8080)) — awkward to work with

You end up with Ok(Ok(8080)) when you really want Ok(8080).

The old workaround

The standard trick was and_then with an identity closure:

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# fn parse_port(s: &str) -> Result<u16, String> {
#     s.parse::<u16>().map_err(|e| e.to_string())
# }
# fn validate_port(port: u16) -> Result<u16, String> {
#     if port >= 1024 { Ok(port) } else { Err(format!("port {} is privileged", port)) }
# }
let flat = parse_port("8080").map(|p| validate_port(p)).and_then(|r| r);
assert_eq!(flat, Ok(8080));

It works, but .and_then(|r| r) is a puzzler if you haven’t seen the pattern before.

The fix: flatten

Stabilized in Rust 1.89, Result::flatten does exactly what you’d expect:

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# fn parse_port(s: &str) -> Result<u16, String> {
#     s.parse::<u16>().map_err(|e| e.to_string())
# }
# fn validate_port(port: u16) -> Result<u16, String> {
#     if port >= 1024 { Ok(port) } else { Err(format!("port {} is privileged", port)) }
# }
let result = parse_port("8080").map(|p| validate_port(p)).flatten();
assert_eq!(result, Ok(8080));

If the outer is Err, you get that Err. If the outer is Ok(Err(e)), you get Err(e). Only Ok(Ok(v)) becomes Ok(v).

Error propagation still works

Both layers must share the same error type. The flattening preserves whichever error came first:

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# fn parse_port(s: &str) -> Result<u16, String> {
#     s.parse::<u16>().map_err(|e| e.to_string())
# }
# fn validate_port(port: u16) -> Result<u16, String> {
#     if port >= 1024 { Ok(port) } else { Err(format!("port {} is privileged", port)) }
# }
// Outer error: parse fails
let r1 = parse_port("abc").map(|p| validate_port(p)).flatten();
assert!(r1.is_err());

// Inner error: parse succeeds, validation fails
let r2 = parse_port("80").map(|p| validate_port(p)).flatten();
assert_eq!(r2, Err("port 80 is privileged".to_string()));

// Both succeed
let r3 = parse_port("3000").map(|p| validate_port(p)).flatten();
assert_eq!(r3, Ok(3000));

When to use flatten vs and_then

If you’re writing .map(f).flatten(), you probably want .and_then(f) — it’s the same thing, one call shorter. flatten shines when you already have a nested Result and just need to collapse it — say, from a generic API, a deserialized value, or a collection of results mapped over a fallible function.

83. Arc::unwrap_or_clone — Take Ownership Without the Dance

You need to own a T but all you have is an Arc<T>. The old pattern is a six-line fumble with try_unwrap. Arc::unwrap_or_clone collapses it into one call — and skips the clone entirely when it can.

The old dance

Arc::try_unwrap hands you the inner value — but only if you’re the last reference. Otherwise it gives your Arc back, and you have to clone.

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use std::sync::Arc;

let arc = Arc::new(String::from("hello"));
let owned: String = match Arc::try_unwrap(arc) {
    Ok(inner) => inner,
    Err(still_shared) => (*still_shared).clone(),
};
assert_eq!(owned, "hello");

Every place that wanted an owned T from an Arc<T> wrote this same pattern, often subtly wrong.

The fix: unwrap_or_clone

Stabilized in Rust 1.76, Arc::unwrap_or_clone does exactly the right thing: move the inner value out if we’re the last owner, clone it otherwise.

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use std::sync::Arc;

let arc = Arc::new(String::from("hello"));
let owned: String = Arc::unwrap_or_clone(arc);
assert_eq!(owned, "hello");

One call. No match. No deref gymnastics.

It actually skips the clone

The key win isn’t just ergonomics — it’s performance. When the refcount is 1, no clone happens; the T is moved out of the allocation directly.

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use std::sync::Arc;

let solo = Arc::new(vec![1, 2, 3, 4, 5]);
let v: Vec<i32> = Arc::unwrap_or_clone(solo); // no allocation, just a move
assert_eq!(v, [1, 2, 3, 4, 5]);

let shared = Arc::new(vec![1, 2, 3]);
let _other = Arc::clone(&shared);
let v2: Vec<i32> = Arc::unwrap_or_clone(shared); // clones, because _other still holds a ref
assert_eq!(v2, [1, 2, 3]);

Also on Rc

The same method exists on Rc for single-threaded code — identical semantics, identical ergonomics:

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use std::rc::Rc;

let rc = Rc::new(42);
let n: i32 = Rc::unwrap_or_clone(rc);
assert_eq!(n, 42);

Anywhere you were reaching for try_unwrap().unwrap_or_else(|a| (*a).clone()), reach for unwrap_or_clone instead. Shorter, clearer, and it avoids the clone when it can.

#082 Apr 2026

82. isqrt — Integer Square Root Without Floating Point

(n as f64).sqrt() as u64 is the classic hack — and it silently gives the wrong answer for large values. Rust 1.84 stabilized isqrt on every integer type: exact, float-free, no precision traps.

The floating-point trap

Converting to f64, calling .sqrt(), and casting back is the go-to pattern. It looks fine. It isn’t.

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let n: u64 = 10_000_000_000_000_000_000;
let bad = (n as f64).sqrt() as u64;
// bad == 3_162_277_660, but floor(sqrt(n)) is 3_162_277_660 — or is it?
// For many large u64 values, the f64 round-trip is off by 1.

f64 only has 53 bits of mantissa, so for u64 values above 2^53 the conversion loses precision before you even take the square root.

The fix: isqrt

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let n: u64 = 10_000_000_000_000_000_000;
let root = n.isqrt();
assert_eq!(root * root <= n, true);
assert_eq!((root + 1).checked_mul(root + 1).map_or(true, |sq| sq > n), true);

It’s defined on every integer type — u8, u16, u32, u64, u128, usize, and their signed counterparts — and always returns the exact floor of the square root. No casts, no rounding, no surprises.

Signed integers too

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let x: i32 = 42;
assert_eq!(x.isqrt(), 6); // 6*6 = 36, 7*7 = 49

// Negative values would panic, so check first:
let maybe_neg: i32 = -4;
assert_eq!(maybe_neg.checked_isqrt(), None);

Use checked_isqrt on signed types when the input might be negative — it returns Option<T> instead of panicking.

When you’d reach for it

Perfect-square checks, tight loops over divisors, hash table sizing, geometry on integer grids — anywhere you were reaching for f64::sqrt purely to round down, reach for isqrt instead. It’s faster, exact, and one character shorter.

81. checked_sub_signed — Subtract a Signed Delta From an Unsigned Without Casts

checked_add_signed has been around for years. Its missing sibling finally landed: as of Rust 1.91, u64::checked_sub_signed (and the whole {checked, overflowing, saturating, wrapping}_sub_signed family) lets you subtract an i64 from a u64 without casting, unsafe, or hand-rolled overflow checks.

The problem

You’ve got an unsigned counter — a file offset, a buffer index, a frame number — and you want to apply a signed delta. The delta is negative, so subtracting it should increase the counter. But Rust won’t let you subtract an i64 from a u64:

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let pos: u64 = 100;
let delta: i64 = -5;

// error[E0277]: cannot subtract `i64` from `u64`
// let new_pos = pos - delta;

The usual workarounds are all awkward. Cast to i64 and hope nothing overflows. Branch on the sign of the delta and call either checked_sub or checked_add depending. Convert via as and pray.

The fix

checked_sub_signed takes an i64 directly and returns Option<u64>:

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let pos: u64 = 100;

assert_eq!(pos.checked_sub_signed(30),  Some(70));   // normal subtraction
assert_eq!(pos.checked_sub_signed(-5),  Some(105));  // subtracting negative adds
assert_eq!(pos.checked_sub_signed(200), None);       // underflow → None

Subtracting a negative number “wraps around” to addition, exactly as the math says it should. Underflow (going below zero) returns None instead of panicking or silently wrapping.

The whole family

Pick your overflow semantics, same as every other integer op:

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let pos: u64 = 10;

// Checked: returns Option.
assert_eq!(pos.checked_sub_signed(-5),  Some(15));
assert_eq!(pos.checked_sub_signed(100), None);

// Saturating: clamps to 0 or u64::MAX.
assert_eq!(pos.saturating_sub_signed(100), 0);
assert_eq!((u64::MAX - 5).saturating_sub_signed(-100), u64::MAX);

// Wrapping: modular arithmetic, never panics.
assert_eq!(pos.wrapping_sub_signed(20), u64::MAX - 9);

// Overflowing: returns (value, did_overflow).
assert_eq!(pos.overflowing_sub_signed(20), (u64::MAX - 9, true));
assert_eq!(pos.overflowing_sub_signed(5),  (5, false));

Same convention as checked_sub, saturating_sub, etc. — you already know the shape.

Why it matters

The signed-from-unsigned case comes up more than you’d think. Scrubbing back and forth in a timeline. Applying a velocity to a position. Rebasing a byte offset. Any time the delta can be negative, you need this method — and now you have it without touching as.

It pairs nicely with its long-stable sibling checked_add_signed, which has been around since Rust 1.66. Between the two, signed deltas on unsigned counters are a one-liner in any direction.

Available on every unsigned primitive (u8, u16, u32, u64, u128, usize) as of Rust 1.91.

#080 Apr 2026

80. VecDeque::pop_front_if and pop_back_if — Conditional Pops on Both Ends

Vec::pop_if got a deque-shaped sibling. As of Rust 1.93, VecDeque has pop_front_if and pop_back_if — conditional pops on either end without the peek-then-pop dance.

The problem

You want to remove an element from a VecDeque only when it matches a predicate. Before 1.93, you’d peek, match, then pop:

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use std::collections::VecDeque;

let mut queue: VecDeque<i32> = VecDeque::from([1, 2, 3, 4]);

if queue.front().is_some_and(|&x| x == 1) {
    queue.pop_front();
}

Two lookups, two branches, one opportunity to desynchronize the check from the pop if you refactor the predicate later.

The fix

pop_front_if takes a closure, checks the front element against it, and pops it only if it matches. pop_back_if does the same on the other end.

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use std::collections::VecDeque;

let mut queue: VecDeque<i32> = VecDeque::from([1, 2, 3, 4]);

let popped = queue.pop_front_if(|x| *x == 1);
assert_eq!(popped, Some(1));
assert_eq!(queue, VecDeque::from([2, 3, 4]));

// Predicate doesn't match — nothing is popped.
let not_popped = queue.pop_front_if(|x| *x > 100);
assert_eq!(not_popped, None);
assert_eq!(queue, VecDeque::from([2, 3, 4]));

The return type is Option<T>: Some(value) if the predicate matched and the element was removed, None otherwise (including when the deque is empty).

One subtle detail worth noting — the closure receives &mut T, not &T. That means |&x| won’t type-check; use |x| *x == ... or destructure with |&mut x|. The extra flexibility lets you mutate the element in-place before deciding to pop it.

Draining a prefix

The pattern clicks when you pair it with a while let loop. Drain everything at the front that matches a condition, stop the moment it doesn’t:

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use std::collections::VecDeque;

let mut events: VecDeque<i32> = VecDeque::from([1, 2, 3, 10, 11, 12]);

// Drain the "small" prefix only.
while let Some(_) = events.pop_front_if(|x| *x < 10) {}

assert_eq!(events, VecDeque::from([10, 11, 12]));

No index tracking, no split_off, no collecting into a new deque.

Why both ends?

VecDeque is a double-ended ring buffer, so it’s natural to support the same idiom on both sides. Processing a priority queue from the back, trimming expired entries from the front, popping a sentinel only when it’s still there — all one method call each.

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use std::collections::VecDeque;

let mut log: VecDeque<&str> = VecDeque::from(["START", "a", "b", "c", "END"]);

let end = log.pop_back_if(|s| *s == "END");
let start = log.pop_front_if(|s| *s == "START");

assert_eq!(start, Some("START"));
assert_eq!(end, Some("END"));
assert_eq!(log, VecDeque::from(["a", "b", "c"]));

When to reach for it

Whenever the shape of your code is “peek, compare, pop.” That’s the tell. pop_front_if / pop_back_if collapse three steps into one atomic operation, and the Option<T> return makes it composable with while let, ?, and the rest of the Option toolbox.

Stabilized in Rust 1.93 — if your MSRV is recent enough, this is a free readability win.

79. #[diagnostic::on_unimplemented] — Custom Error Messages for Your Traits

Trait errors are notoriously cryptic. #[diagnostic::on_unimplemented] lets you replace the compiler’s default “trait bound not satisfied” with a message that actually tells the user what went wrong.

The problem

You define a trait, someone forgets to implement it, and the compiler spits out a wall of generics and trait bounds that even experienced Rustaceans have to squint at:

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trait Storable {
    fn store(&self, path: &str);
}

fn save<T: Storable>(item: &T) {
    item.store("/data/output");
}

fn main() {
    save(&42_i32);
    // error[E0277]: the trait bound `i32: Storable` is not satisfied
}

For your own code that’s fine — but if you’re writing a library, your users deserve better.

The fix

Annotate your trait with #[diagnostic::on_unimplemented] and the compiler will use your message instead:

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#[diagnostic::on_unimplemented(
    message = "`{Self}` cannot be stored — implement `Storable` for it",
    label = "this type doesn't implement Storable",
    note = "all types passed to `save()` must implement the `Storable` trait"
)]
trait Storable {
    fn store(&self, path: &str);
}

Now the error reads like documentation, not like a stack trace.

It works with generics too

The placeholders {Self} and {A} (for generic params) let you generate targeted messages:

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#[diagnostic::on_unimplemented(
    message = "cannot serialize `{Self}` into format `{F}`",
    note = "see docs for supported format/type combinations"
)]
trait Serialize<F> {
    fn serialize(&self) -> Vec<u8>;
}

If someone tries to serialize a type for an unsupported format, they get a message that names both the type and the format — no guessing required.

Multiple notes

You can attach several note entries, and each one becomes a separate note in the compiler output:

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#[diagnostic::on_unimplemented(
    message = "`{Self}` is not a valid handler",
    note = "handlers must implement `Handler` with the appropriate request type",
    note = "see https://docs.example.com/handlers for the full list"
)]
trait Handler<Req> {
    fn handle(&self, req: Req);
}

When to use it

This is a library-author tool. If you expose a public trait and expect users to implement it (or pass types that satisfy it), adding on_unimplemented is a small investment that saves your users real debugging time. Crates like bevy, axum, and diesel already use it to turn walls of trait errors into actionable guidance.

Stabilized in Rust 1.78, it’s part of the #[diagnostic] namespace — the compiler treats unrecognized diagnostic hints as soft warnings rather than hard errors, so it’s forward-compatible by design.

#078 Apr 2026

78. div_ceil — Divide and Round Up Without the Overflow Bug

Need to split items into fixed-size pages or chunks? The classic (n + size - 1) / size trick silently overflows. div_ceil does it correctly.

The classic footgun

Paging, chunking, allocating — any time you divide and need to round up, this pattern shows up:

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fn pages_needed(total: u64, per_page: u64) -> u64 {
    (total + per_page - 1) / per_page // ⚠️ overflows when total is large
}

It works until total + per_page - 1 wraps around. With u64::MAX items and a page size of 10, you get a wrong answer instead of a panic or correct result.

The fix: div_ceil

Stabilized in Rust 1.73, div_ceil handles the rounding without intermediate overflow:

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fn pages_needed(total: u64, per_page: u64) -> u64 {
    total.div_ceil(per_page)
}

One method call, no overflow risk, intent crystal clear.

Real-world examples

Allocating pixel rows for a tiled renderer:

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let image_height: u32 = 1080;
let tile_size: u32 = 64;
let tile_rows = image_height.div_ceil(tile_size);
assert_eq!(tile_rows, 17); // 16 full tiles + 1 partial

Splitting work across threads:

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let items: usize = 1000;
let threads: usize = 6;
let chunk_size = items.div_ceil(threads);
assert_eq!(chunk_size, 167); // each thread handles at most 167 items

It works on all unsigned integers

div_ceil is available on u8, u16, u32, u64, u128, and usize. Signed integers also have it (since Rust 1.73), but watch out — it rounds toward positive infinity, which for negative dividends means rounding away from zero.

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let signed: i32 = -7;
assert_eq!(signed.div_ceil(2), -3); // rounds toward +∞, not toward 0

Next time you reach for (a + b - 1) / b, stop — div_ceil already exists and it won’t betray you at the boundaries.

#077 Apr 2026

77. repeat_n — Repeat a Value Exactly N Times

Stop writing repeat(x).take(n) — there’s a dedicated function that’s both cleaner and more efficient.

The old way

If you wanted an iterator that yields a value a fixed number of times, you’d chain repeat with take:

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use std::iter;

let greetings: Vec<_> = iter::repeat("hello").take(3).collect();
assert_eq!(greetings, vec!["hello", "hello", "hello"]);

This works fine for Copy types, but it always clones the value — even on the last iteration, where you could just move it instead.

Enter repeat_n

std::iter::repeat_n does exactly what the name says — repeats a value n times:

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use std::iter;

let greetings: Vec<_> = iter::repeat_n("hello", 3).collect();
assert_eq!(greetings, vec!["hello", "hello", "hello"]);

Cleaner, more readable, and it comes with a hidden superpower.

The efficiency win

repeat_n moves the value on the last iteration instead of cloning it. This matters when cloning is expensive:

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use std::iter;

let original = vec![1, 2, 3]; // expensive to clone
let copies: Vec<Vec<i32>> = iter::repeat_n(original, 3).collect();

assert_eq!(copies.len(), 3);
assert_eq!(copies[0], vec![1, 2, 3]);
assert_eq!(copies[1], vec![1, 2, 3]);
assert_eq!(copies[2], vec![1, 2, 3]);
// The first two are clones, but the third one is a move — one fewer allocation!

With repeat(x).take(n), you’d clone all n times. With repeat_n, you save one clone. For large buffers or complex types, that’s a meaningful win.

repeat_n with zero

Passing n = 0 yields an empty iterator, and the value is simply dropped — no clones happen at all:

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use std::iter;

let items: Vec<String> = iter::repeat_n(String::from("unused"), 0).collect();
assert!(items.is_empty());

When to reach for it

Use repeat_n whenever you need a fixed number of identical values. Common patterns:

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use std::iter;

// Initialize a grid row
let row: Vec<f64> = iter::repeat_n(0.0, 10).collect();
assert_eq!(row.len(), 10);

// Pad a sequence
let mut data = vec![1, 2, 3];
data.extend(iter::repeat_n(0, 5));
assert_eq!(data, vec![1, 2, 3, 0, 0, 0, 0, 0]);

Small change, but it makes intent crystal clear: you want exactly n copies, no more, no less.

76. slice::as_chunks — Split Slices into Fixed-Size Arrays

You’re calling .chunks(4) and immediately doing chunk.try_into().unwrap() to get an array. as_chunks gives you &[[T; N]] directly — a slice of properly typed arrays, plus the remainder.

The Problem

When you use .chunks(N), each chunk is a &[T] — a dynamically sized slice. The compiler doesn’t know its length, so you’re stuck converting manually:

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fn sum_pairs(data: &[i32]) -> Vec<i32> {
    data.chunks(2)
        .filter(|c| c.len() == 2) // skip incomplete last chunk
        .map(|c| c[0] + c[1])     // runtime indexing, no guarantees
        .collect()
}

fn main() {
    let values = [1, 2, 3, 4, 5];
    assert_eq!(sum_pairs(&values), vec![3, 7]);
}

That works, but the compiler can’t verify your index access at compile time. You’re also throwing away the last chunk if it’s incomplete, with no easy way to inspect it.

After: as_chunks

Stabilized in Rust 1.88, as_chunks splits a slice into a &[[T; N]] and a remainder &[T] in one call:

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fn sum_pairs(data: &[i32]) -> Vec<i32> {
    let (chunks, _remainder) = data.as_chunks::<2>();
    chunks.iter().map(|[a, b]| a + b).collect()
}

fn main() {
    let values = [1, 2, 3, 4, 5];
    assert_eq!(sum_pairs(&values), vec![3, 7]);

    // The remainder is available too
    let (chunks, remainder) = values.as_chunks::<2>();
    assert_eq!(chunks, &[[1, 2], [3, 4]]);
    assert_eq!(remainder, &[5]);
}

Each chunk is &[i32; 2], so you can pattern-match [a, b] directly. The compiler knows the size — no bounds checks, no panics.

Processing Fixed-Width Records

Parsing binary data with fixed-width fields is where as_chunks shines. Imagine RGB pixel data packed as bytes:

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fn brighten(pixels: &mut [u8], amount: u8) {
    let (chunks, _) = pixels.as_chunks_mut::<3>();
    for [r, g, b] in chunks {
        *r = r.saturating_add(amount);
        *g = g.saturating_add(amount);
        *b = b.saturating_add(amount);
    }
}

fn main() {
    let mut pixels = [100, 150, 200, 50, 60, 70, 255, 128, 0];
    brighten(&mut pixels, 30);
    assert_eq!(pixels, [130, 180, 230, 80, 90, 100, 255, 158, 30]);
}

No manual stride arithmetic. Each iteration gives you exactly 3 bytes, pattern-matched into r, g, b.

Don’t Lose the Remainder

Unlike chunks_exact() where you call .remainder() on the iterator after consuming it, as_chunks returns the remainder upfront:

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fn main() {
    let data = [10, 20, 30, 40, 50, 60, 70];

    let (fours, rest) = data.as_chunks::<4>();
    assert_eq!(fours.len(), 1);       // one complete chunk: [10, 20, 30, 40]
    assert_eq!(fours[0], [10, 20, 30, 40]);
    assert_eq!(rest, &[50, 60, 70]);  // leftover elements

    // as_rchunks starts from the right instead
    let (rest, fours) = data.as_rchunks::<4>();
    assert_eq!(rest, &[10, 20, 30]);
    assert_eq!(fours[0], [40, 50, 60, 70]);
}

as_rchunks is the mirror — it aligns chunks to the end, putting the remainder at the front. Useful when your trailing data is the structured part (e.g., a checksum or footer).

The Full Family

All stabilized in Rust 1.88, these come in immutable and mutable variants:

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fn main() {
    let data: &[u8] = &[1, 2, 3, 4, 5, 6, 7];

    // as_chunks — align from left, remainder on right
    let (chunks, rem) = data.as_chunks::<3>();
    assert_eq!(chunks, &[[1, 2, 3], [4, 5, 6]]);
    assert_eq!(rem, &[7]);

    // as_rchunks — align from right, remainder on left
    let (rem, chunks) = data.as_rchunks::<3>();
    assert_eq!(rem, &[1]);
    assert_eq!(chunks, &[[2, 3, 4], [5, 6, 7]]);

    // Mutable versions: as_chunks_mut, as_rchunks_mut
    let mut buf = [0u8; 6];
    let (chunks, _) = buf.as_chunks_mut::<2>();
    chunks[0] = [0xCA, 0xFE];
    chunks[1] = [0xBA, 0xBE];
    chunks[2] = [0xDE, 0xAD];
    assert_eq!(buf, [0xCA, 0xFE, 0xBA, 0xBE, 0xDE, 0xAD]);
}

Whenever you’re reaching for .chunks(N) with a compile-time constant, as_chunks::<N>() gives you stronger types, better ergonomics, and the remainder without gymnastics.

75. select_nth_unstable — Find the Kth Element Without Sorting

You’re sorting an entire Vec just to grab the median or the top 3 elements. select_nth_unstable does it in O(n) — no full sort required.

The classic approach: sort everything, then index:

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let mut scores = vec![82, 45, 99, 67, 73, 91, 55];
scores.sort();
let median = scores[scores.len() / 2];
assert_eq!(median, 73);

That’s O(n log n) to answer an O(n) question. select_nth_unstable uses a partial-sort algorithm (quickselect) to put the element at a given index into its final sorted position — everything before it is smaller or equal, everything after is greater or equal:

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let mut scores = vec![82, 45, 99, 67, 73, 91, 55];
let mid = scores.len() / 2;
scores.select_nth_unstable(mid);
assert_eq!(scores[mid], 73);

The method returns three mutable slices — elements below, the pivot element, and elements above — so you can work with each partition directly:

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let mut data = vec![10, 80, 30, 90, 50, 70, 20];
let (lower, median, upper) = data.select_nth_unstable(3);
// lower contains 3 elements all <= *median
// upper contains 3 elements all >= *median
assert_eq!(*median, 50);
assert!(lower.iter().all(|&x| x <= 50));
assert!(upper.iter().all(|&x| x >= 50));

Need the top 3 scores without sorting the full list? Select the boundary, then sort only the small tail:

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let mut scores = vec![82, 45, 99, 67, 73, 91, 55];
let k = scores.len() - 3;
scores.select_nth_unstable(k);
let top_3 = &mut scores[k..];
top_3.sort_unstable(); // sort only 3 elements, not all 7
assert_eq!(top_3, &[82, 91, 99]);

Custom ordering works too. Find the median by absolute value:

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let mut vals = vec![-20, 5, -10, 15, -3, 8, 1];
let mid = vals.len() / 2;
vals.select_nth_unstable_by_key(mid, |v| v.abs());
assert_eq!(vals[mid].abs(), 8);

The “unstable” in the name means equal elements might be reordered (like sort_unstable) — it doesn’t mean the API is experimental. This is stable since Rust 1.49, available on any [T] where T: Ord.

#074 Apr 2026

74. slice::is_sorted — Ask the Slice if It's Already Sorted

You’ve written windows(2).all(|w| w[0] <= w[1]) one too many times. The is_sorted family of methods says what you actually mean — in one call.

Checking whether data is already in order used to mean rolling your own predicate:

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let data = vec![1, 3, 5, 7, 9];

// The old way — correct but noisy:
let sorted = data.windows(2).all(|w| w[0] <= w[1]);
assert!(sorted);

It works, but you have to remember windows(2), get the comparison direction right, and hope the next reader recognizes the pattern.

Now there’s a method that does exactly this:

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let data = vec![1, 3, 5, 7, 9];
assert!(data.is_sorted());

let messy = vec![1, 9, 3, 7, 5];
assert!(!messy.is_sorted());

Empty slices and single-element slices are considered sorted — no edge-case surprises:

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let empty: Vec<i32> = vec![];
assert!(empty.is_sorted());
assert!(vec![42].is_sorted());

Need a custom comparator? is_sorted_by takes a closure over pairs of references and returns bool:

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// Check if sorted by absolute value
let vals: Vec<i32> = vec![-1, 2, -3, 4];
let sorted_by_abs = vals.is_sorted_by(|a, b| a.abs() <= b.abs());
assert!(sorted_by_abs);

And is_sorted_by_key extracts a key first — perfect for structs:

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struct Task {
    priority: u8,
    name: &'static str,
}

let tasks = vec![
    Task { priority: 1, name: "urgent" },
    Task { priority: 3, name: "normal" },
    Task { priority: 5, name: "backlog" },
];

assert!(tasks.is_sorted_by_key(|t| t.priority));

A practical use: skip sorting when the data is already ordered:

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let mut data = vec![1, 2, 3, 4, 5];
if !data.is_sorted() {
    data.sort();
}
// Avoids the O(n log n) sort when data is already O(n)-verified sorted

Available on slices and by extension on Vec, arrays, and anything that derefs to [T]. Stabilized in Rust 1.82 — no crate needed.

73. u64::midpoint — Average Two Numbers Without Overflow

Computing the average of two integers sounds trivial — until it overflows. The midpoint method gives you a correct result every time, no wider types required.

The classic binary search bug lurks in this innocent-looking line:

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let mid = (low + high) / 2;

When low and high are both large, the addition wraps around and you get garbage. This has bitten production code in every language for decades.

The textbook workaround avoids the addition entirely:

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let mid = low + (high - low) / 2;

This works — but only when low <= high, and it’s one more thing to get wrong under pressure.

Rust’s midpoint method handles all of this for you:

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let a: u64 = u64::MAX - 1;
let b: u64 = u64::MAX;

// This would panic in debug or wrap in release:
// let avg = (a + b) / 2;

// Safe and correct:
let avg = a.midpoint(b);
assert_eq!(avg, u64::MAX - 1);

It works on signed integers too, rounding toward zero:

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let x: i32 = -3;
let y: i32 = 4;
assert_eq!(x.midpoint(y), 0);  // rounds toward zero, not -∞

And on floats, where it’s computed without intermediate overflow:

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let a: f64 = f64::MAX;
let b: f64 = f64::MAX;
assert_eq!(a.midpoint(b), f64::MAX);  // not infinity

Here’s a binary search that actually works for the full u64 range:

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fn binary_search(sorted: &[i32], target: i32) -> Option<usize> {
    let mut low: usize = 0;
    let mut high: usize = sorted.len();
    while low < high {
        let mid = low.midpoint(high);
        match sorted[mid].cmp(&target) {
            std::cmp::Ordering::Less => low = mid + 1,
            std::cmp::Ordering::Greater => high = mid,
            std::cmp::Ordering::Equal => return Some(mid),
        }
    }
    None
}

let data = vec![1, 3, 5, 7, 9, 11];
assert_eq!(binary_search(&data, 7), Some(3));
assert_eq!(binary_search(&data, 4), None);

Available on all integer types (u8 through u128, i8 through i128, usize, isize) and floats (f32, f64). No crate needed — it’s in the standard library.

72. if let Guards — Pattern Match Inside Match Guards

Match guards are great for adding conditions to arms, but until now you couldn’t destructure inside them. Rust 1.95 stabilizes if let guards, letting you pattern-match right in the guard position.

Suppose you’re matching commands and need to parse a value from one of the variants. Before if let guards, you had to nest an if let inside the arm body:

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enum Command {
    Set(String, String),
    Get(String),
    Quit,
}

fn execute(cmd: Command) -> String {
    match cmd {
        Command::Set(key, value) => {
            if let Ok(n) = value.parse::<i32>() {
                format!("SET {key} = {n} (as integer)")
            } else {
                format!("SET {key} = {value} (as string)")
            }
        }
        Command::Get(key) => format!("GET {key}"),
        Command::Quit => "BYE".to_string(),
    }
}

The Set arm does two different things depending on whether the value parses as an integer — but that logic is buried inside a nested if let. With if let guards, the condition moves into the guard itself:

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fn execute_v2(cmd: Command) -> String {
    match cmd {
        Command::Set(key, value) if let Ok(n) = value.parse::<i32>() => {
            format!("SET {key} = {n} (as integer)")
        }
        Command::Set(key, value) => {
            format!("SET {key} = {value} (as string)")
        }
        Command::Get(key) => format!("GET {key}"),
        Command::Quit => "BYE".to_string(),
    }
}

Now each arm handles exactly one case. The guard destructures the parse result, and n is available in the arm body. If the guard fails, Rust falls through to the next Set arm — no nested if/else needed.

You can combine if let guards with regular boolean conditions using &&:

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fn execute_v3(cmd: Command) -> String {
    match cmd {
        Command::Set(key, value)
            if let Ok(n) = value.parse::<i32>()
            && n > 0 =>
        {
            format!("SET {key} = {n} (positive integer)")
        }
        Command::Set(key, value) => {
            format!("SET {key} = {value}")
        }
        Command::Get(key) => format!("GET {key}"),
        Command::Quit => "BYE".to_string(),
    }
}

This feature lands stable in Rust 1.95 (April 2026). If you’ve been nesting if let inside match arms, this is your cleanup opportunity.

71. Inline const Blocks — Compile-Time Evaluation Anywhere

Need a compile-time value in the middle of runtime code? Wrap it in const { } and the compiler evaluates it on the spot — no separate const item needed.

The old way

When you needed a compile-time constant inside a function, you had to hoist it into a separate const item:

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fn describe_limit() -> &'static str {
    const MAX: usize = 2_usize.pow(16);
    if MAX > 50_000 {
        "high"
    } else {
        "low"
    }
}

fn main() {
    assert_eq!(describe_limit(), "high");
}

It works, but the const declaration is noisy — especially when you only use the value once and it clutters the function body.

Enter const { }

Since Rust 1.79, you can write const { expr } anywhere an expression is expected. The compiler evaluates it at compile time and inlines the result:

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fn main() {
    let limit = const { 2_usize.pow(16) };
    assert_eq!(limit, 65_536);
}

No named constant, no separate item — just an inline compile-time expression right where you need it.

Generic compile-time values

const { } really shines inside generic functions, where it can compute values based on type parameters:

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fn make_mask<const N: usize>() -> u128 {
    const { assert!(N <= 128, "mask too wide") };
    if N == 128 { u128::MAX } else { (1u128 << N) - 1 }
}

fn main() {
    assert_eq!(make_mask::<8>(), 0xFF);
    assert_eq!(make_mask::<16>(), 0xFFFF);
    assert_eq!(make_mask::<1>(), 1);
}

The const { assert!(...) } fires at compile time for each monomorphization — if someone writes make_mask::<200>(), they get a compile error, not a runtime panic.

Compile-time assertions

Use const { } to embed compile-time checks directly in your code:

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fn process_buffer<const N: usize>(buf: [u8; N]) -> u8 {
    const { assert!(N <= 1024, "buffer too large") };
    buf[0]
}

fn main() {
    let small = process_buffer([1, 2, 3]);
    assert_eq!(small, 1);

    // This would fail at compile time:
    // let huge = process_buffer([0u8; 2048]);
}

The assertion runs at compile time — if it fails, you get a compile error, not a runtime panic. It’s like a lightweight static_assert from C++, but it works anywhere.

Building lookup tables

const { } shines when you need a precomputed table without polluting the outer scope:

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fn is_vowel(c: char) -> bool {
    const { ['a', 'e', 'i', 'o', 'u'] }.contains(&c)
}

fn main() {
    assert!(is_vowel('a'));
    assert!(is_vowel('u'));
    assert!(!is_vowel('b'));
    assert!(!is_vowel('z'));
}

The array is built at compile time and the contains check runs at runtime — clean, fast, and self-contained.

Next time you’re about to write const TEMP: ... = ...; just to use it once, reach for const { } instead. It keeps the value where it belongs — right at the point of use.

70. Iterator::intersperse — Join Elements Without Collecting First

Tired of collecting into a Vec just to call .join(",")? intersperse inserts a separator between every pair of elements — lazily, right inside the iterator chain.

The problem

You have an iterator of strings and want to join them with a separator. The classic approach forces you to collect first:

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fn main() {
    let words = vec!["hello", "world", "from", "rust"];

    // Works, but allocates an intermediate Vec<&str> just to join it
    let sentence = words.iter().copied().collect::<Vec<_>>().join(" ");

    assert_eq!(sentence, "hello world from rust");
}

It gets the job done, but that intermediate Vec allocation is wasteful — you’re collecting just to immediately consume it again.

The clean way

intersperse inserts a separator value between every adjacent pair of elements, returning a new iterator:

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fn main() {
    let words = vec!["hello", "world", "from", "rust"];

    let sentence: String = words
        .iter()
        .copied()
        .intersperse(" ")
        .collect();

    assert_eq!(sentence, "hello world from rust");
}

No intermediate Vec. The separator is lazily inserted as you iterate, and collect builds the final String directly.

It works with any type

intersperse isn’t just for strings — it works with any iterator where the element type implements Clone:

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fn main() {
    let numbers = vec![1, 2, 3, 4];

    let with_zeros: Vec<i32> = numbers
        .iter()
        .copied()
        .intersperse(0)
        .collect();

    assert_eq!(with_zeros, vec![1, 0, 2, 0, 3, 0, 4]);
}

This is handy for building sequences with delimiters, padding, or sentinel values between real data.

When the separator is expensive to create

If your separator is costly to clone, use intersperse_with — it takes a closure that produces the separator on demand:

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fn main() {
    let parts = vec!["one", "two", "three"];

    let result: String = parts
        .iter()
        .copied()
        .intersperse_with(|| " | ")
        .collect();

    assert_eq!(result, "one | two | three");
}

The closure is only called when a separator is actually needed, so you pay zero cost for single-element or empty iterators.

Edge cases

intersperse handles the corners gracefully — empty iterators stay empty, and single-element iterators pass through unchanged:

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fn main() {
    let empty: Vec<&str> = Vec::new();
    let result: String = empty.iter().copied().intersperse(", ").collect();
    assert_eq!(result, "");

    let single = vec!["alone"];
    let result: String = single.iter().copied().intersperse(", ").collect();
    assert_eq!(result, "alone");
}

Next time you reach for .collect::<Vec<_>>().join(...), try intersperse instead — it’s one less allocation and reads just as clearly.

69. Iterator::try_fold — Fold That Knows When to Stop

Need to accumulate values from an iterator but bail on the first error? try_fold gives you the power of fold with the early-exit behavior of ?.

The problem

You’re parsing a list of strings into numbers and summing them. With fold, you have no clean way to short-circuit on a parse failure:

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fn main() {
    let inputs = vec!["10", "20", "oops", "40"];

    // This doesn't compile — fold expects the same type every iteration
    // and there's no way to bail early
    let mut total = 0i64;
    let mut error = None;
    for s in &inputs {
        match s.parse::<i64>() {
            Ok(n) => total += n,
            Err(e) => {
                error = Some(e);
                break;
            }
        }
    }

    assert!(error.is_some());
    assert_eq!(total, 30); // partial sum before the error
}

It works, but you’ve traded iterator chains for mutable state and a manual loop.

The clean way

try_fold takes an initial accumulator and a closure that returns Result<Acc, E> (or any type implementing Try). It stops at the first Err and returns it:

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fn sum_parsed(inputs: &[&str]) -> Result<i64, std::num::ParseIntError> {
    inputs.iter().try_fold(0i64, |acc, s| {
        let n = s.parse::<i64>()?;
        Ok(acc + n)
    })
}

fn main() {
    // All valid — returns the sum
    assert_eq!(sum_parsed(&["10", "20", "30"]), Ok(60));

    // Stops at "oops", never touches "40"
    assert!(sum_parsed(&["10", "20", "oops", "40"]).is_err());
}

No mutable variables, no manual loop, no tracking partial state. The ? inside the closure does exactly what you’d expect.

It works with Option too

try_fold works with any Try type. With Option, it stops at the first None:

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fn main() {
    let values = vec![Some(1), Some(2), Some(3)];
    let sum = values.iter().try_fold(0, |acc, opt| {
        opt.map(|n| acc + n)
    });
    assert_eq!(sum, Some(6));

    let values = vec![Some(1), None, Some(3)];
    let sum = values.iter().try_fold(0, |acc, opt| {
        opt.map(|n| acc + n)
    });
    assert_eq!(sum, None); // stopped at None
}

Bonus: try_for_each

If you don’t need an accumulator and just want to run a fallible operation on each element, try_for_each is the shorthand:

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fn validate_all(inputs: &[&str]) -> Result<(), std::num::ParseIntError> {
    inputs.iter().try_for_each(|s| {
        s.parse::<i64>()?;
        Ok(())
    })
}

fn main() {
    assert!(validate_all(&["1", "2", "3"]).is_ok());
    assert!(validate_all(&["1", "nope", "3"]).is_err());
}

Both methods are lazy — they only consume as many elements as needed. When your fold can fail, reach for try_fold instead of a manual loop.

#068 Apr 2026

68. f64::next_up — Walk the Floating Point Number Line

Ever wondered what the next representable floating point number after 1.0 is? Since Rust 1.86, f64::next_up and f64::next_down let you step through the number line one float at a time.

The problem

Floating point numbers aren’t evenly spaced — the gap between representable values grows as the magnitude increases. Before next_up / next_down, figuring out the next neighbor required bit-level manipulation of the IEEE 754 representation:

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fn main() {
    // The hard way (before 1.86): manually decode bits
    let x: f64 = 1.0;
    let bits = x.to_bits();
    let next_bits = bits + 1;
    let next = f64::from_bits(next_bits);

    assert!(next > x);
    assert_eq!(next, 1.0000000000000002);
}

Error-prone, unreadable, and doesn’t handle edge cases like negative numbers, zero, or special values.

The clean way

next_up returns the smallest f64 greater than self. next_down returns the largest f64 less than self:

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fn main() {
    let x: f64 = 1.0;

    let up = x.next_up();
    let down = x.next_down();

    assert!(up > x);
    assert!(down < x);
    assert_eq!(up, 1.0000000000000002);
    assert_eq!(down, 0.9999999999999998);

    // There's no float between x and its neighbors
    assert_eq!(up.next_down(), x);
    assert_eq!(down.next_up(), x);
}

They handle all the edge cases you’d rather not think about — negative numbers, subnormals, and infinity:

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fn main() {
    // Works across zero
    assert_eq!(0.0_f64.next_up(), 5e-324);   // smallest positive f64
    assert_eq!(0.0_f64.next_down(), -5e-324); // largest negative f64

    // Infinity is the boundary
    assert_eq!(f64::MAX.next_up(), f64::INFINITY);
    assert_eq!(f64::INFINITY.next_up(), f64::INFINITY);

    // NaN stays NaN
    assert!(f64::NAN.next_up().is_nan());
}

Practical use: precision-aware comparisons

The gap between adjacent floats is called an ULP (unit in the last place). next_up lets you build tolerance-aware comparisons without guessing at epsilon values:

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fn almost_equal(a: f64, b: f64, max_ulps: u32) -> bool {
    if a == b { return true; }

    let mut current = a;
    for _ in 0..max_ulps {
        current = if a < b { current.next_up() } else { current.next_down() };
        if current == b { return true; }
    }
    false
}

fn main() {
    let a = 0.1 + 0.2;
    let b = 0.3;

    // They're not equal...
    assert_ne!(a, b);

    // ...but they're within 1 ULP of each other
    assert!(almost_equal(a, b, 1));
}

Also available on f32 with the same API. These methods are const fn, so you can use them in const contexts too.

#067 Apr 2026

67. Box::leak — Turn Owned Data Into a Static Reference

Sometimes you need a &'static str but all you have is a String. Meet Box::leak — it deliberately leaks heap memory so you get a reference that lives forever.

The problem

Many APIs demand &'static str — logging frameworks, CLI argument definitions, thread names, and error messages baked into types. But your data is often dynamic:

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fn set_thread_name(name: &'static str) {
    // Imagine this requires a 'static lifetime
    println!("Thread: {name}");
}

fn main() {
    let prefix = "worker";
    let id = 42;
    let name = format!("{prefix}-{id}");

    // This won't compile — name is a String, not &'static str
    // set_thread_name(&name);

    // Workaround: leak it
    let name: &'static str = Box::leak(name.into_boxed_str());
    set_thread_name(name);
}

How it works

Box::leak consumes the Box and returns a mutable reference with a 'static lifetime. The memory stays allocated on the heap but is never freed — it “leaks” on purpose:

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fn main() {
    // Leak a String into &'static str
    let s: &'static str = Box::leak(String::from("hello").into_boxed_str());
    assert_eq!(s, "hello");

    // Leak a Vec into &'static [T]
    let nums: &'static [i32] = Box::leak(vec![1, 2, 3].into_boxed_slice());
    assert_eq!(nums, &[1, 2, 3]);

    // Leak any type into &'static T
    let val: &'static mut i32 = Box::leak(Box::new(99));
    *val += 1;
    assert_eq!(*val, 100);
}

The pattern is always the same: put your data in a Box, then call leak() to trade ownership for a 'static reference.

When it makes sense

Box::leak shines for data that truly lives for the entire program — configuration, lookup tables, or singleton-style values initialized once at startup:

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struct Config {
    db_url: String,
    max_connections: usize,
}

fn init_config() -> &'static Config {
    let config = Config {
        db_url: String::from("postgres://localhost/mydb"),
        max_connections: 10,
    };
    Box::leak(Box::new(config))
}

fn main() {
    let config = init_config();

    // Now any function can take &Config without lifetime gymnastics
    assert_eq!(config.max_connections, 10);
    assert!(config.db_url.contains("localhost"));
}

No Arc, no lazy_static!, no lifetime parameters threading through your call stack — just a plain reference.

The catch: you can’t unleak

The memory is genuinely leaked. It won’t be freed until the process exits. This is fine for startup-time singletons but a bad idea in a loop:

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fn main() {
    // DON'T do this — leaks memory every iteration
    // for i in 0..1000 {
    //     let s: &'static str = Box::leak(format!("item-{i}").into_boxed_str());
    // }

    // If you need to reclaim the memory, you can "unleak" with Box::from_raw:
    let leaked: &'static mut String = Box::leak(Box::new(String::from("temporary")));
    let ptr: *mut String = leaked;

    // SAFETY: ptr came from Box::leak and hasn't been freed
    let reclaimed: Box<String> = unsafe { Box::from_raw(ptr) };
    assert_eq!(*reclaimed, "temporary");
    // reclaimed is dropped here — memory freed
}

Use Box::leak when the data truly needs to outlive everything. For anything else, reach for Arc, OnceLock, or scoped lifetimes instead.

66. Inferred Const Generics — Let the Compiler Count For You

Tired of manually counting array lengths and const generic arguments? Since Rust 1.89, you can write _ in const generic positions and let the compiler figure it out.

The annoyance

Whenever you work with arrays or const generics, you end up counting elements by hand:

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fn main() {
    let rgb: [u8; 3] = [255, 128, 0];
    let matrix: [[f64; 3]; 2] = [
        [1.0, 0.0, 0.0],
        [0.0, 1.0, 0.0],
    ];

    assert_eq!(rgb.len(), 3);
    assert_eq!(matrix.len(), 2);
}

Change the data, forget to update the length, and you get a compile error — or worse, you waste time counting elements that the compiler already knows.

Enter _ for const generics

Now you can replace const generic arguments with _ wherever the compiler can infer the value:

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fn main() {
    let rgb: [u8; _] = [255, 128, 0];
    let matrix: [[f64; _]; _] = [
        [1.0, 0.0, 0.0],
        [0.0, 1.0, 0.0],
    ];

    assert_eq!(rgb.len(), 3);
    assert_eq!(matrix.len(), 2);
    assert_eq!(matrix[0].len(), 3);
}

The compiler sees 3 elements and fills in the 3 for you. Add a fourth element tomorrow, and the type updates automatically — no manual bookkeeping.

Array repeat expressions

The _ also works in repeat expressions, so you can define how many times to repeat without hardcoding the count:

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fn zeros<const N: usize>() -> [f64; N] {
    [0.0; _]
}

fn main() {
    let small: [f64; 3] = zeros();
    let big: [f64; 8] = zeros();

    assert_eq!(small, [0.0, 0.0, 0.0]);
    assert_eq!(big.len(), 8);
}

Inside zeros(), [0.0; _] infers the repeat count from the return type’s N. No need to write [0.0; N] — though you still can.

Works with your own const generics too

Any function with const generic parameters can benefit:

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fn chunk_sum<const N: usize>(arr: [i32; N]) -> i32 {
    arr.iter().sum()
}

fn main() {
    // The compiler infers N = 4 from the array literal
    let total = chunk_sum([10, 20, 30, 40]);
    assert_eq!(total, 100);

    // Explicit _ works too when you want to be clear about inference
    let arr: [i32; _] = [1, 2, 3, 4, 5];
    let total = chunk_sum(arr);
    assert_eq!(total, 15);
}

Where you can’t use _

One important restriction: inferred const generics are only allowed in expressions, not in item signatures. You can’t write this:

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// This does NOT compile — _ not allowed in function signatures
// fn make_pairs() -> [(&str, i32); _] { ... }

The compiler needs concrete types in signatures. Use _ inside function bodies and let bindings where the compiler has enough context to infer.

A small quality-of-life win that removes one more source of busywork. Next time you’re stacking array literals, let the compiler do the counting.

65. Precise Capturing — Stop impl Trait From Borrowing Too Much

Ever had the compiler refuse to let you use a value after calling a function — even though the return type shouldn’t borrow it? use<> bounds give you precise control over what impl Trait actually captures.

The overcapturing problem

In Rust 2024, impl Trait in return position captures all in-scope generic parameters by default — including lifetimes you never intended to hold onto.

Here’s where it bites:

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fn make_greeting(name: &str) -> impl std::fmt::Display + use<> {
    format!("Hello, {name}!")
}

Without the use<> bound, the returned impl Display would capture the &str lifetime — even though format! produces an owned String that doesn’t borrow name at all. That means the caller can’t drop or reuse name while the return value is alive, for no good reason.

Enter use<> bounds

Stabilized in Rust 1.82, the use<> syntax lets you explicitly declare which generic parameters the opaque type is allowed to capture:

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fn make_greeting(name: &str) -> impl std::fmt::Display + use<> {
    format!("Hello, {name}!")
}

fn main() {
    let mut name = String::from("world");
    let greeting = make_greeting(&name);

    // This works! The greeting doesn't capture the lifetime of `name`
    name.push_str("!!!");

    println!("{greeting}"); // Hello, world!
    println!("{name}");     // world!!!
}

use<> means “capture nothing” — the return type is fully owned and independent of any input lifetimes.

Selective capturing

You can also pick exactly which lifetimes to capture. Consider a function that takes two references but only needs to hold onto one:

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fn pick_label<'a, 'b>(
    label: &'a str,
    _config: &'b str,
) -> impl std::fmt::Display + use<'a> {
    // We use `_config` to decide formatting, but
    // the return value only borrows from `label`
    format!("[{label}]")
}

fn main() {
    let label = String::from("status");
    let mut config = String::from("uppercase");

    let display = pick_label(&label, &config);

    // We can mutate `config` — the return value doesn't borrow it
    config.push_str(":bold");

    assert_eq!(format!("{display}"), "[status]");
    assert_eq!(config, "uppercase:bold");
}

use<'a> says “this return type borrows from 'a but is independent of 'b.” Without it, the compiler assumes the opaque type captures both lifetimes, preventing you from reusing config.

When you need this

The use<> bound shines when you’re returning iterators, closures, or other impl Trait types from functions that take references they don’t actually need to hold:

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fn make_counter(start: &str) -> impl Iterator<Item = usize> + use<> {
    let n: usize = start.parse().unwrap_or(0);
    (n..).take(5)
}

fn main() {
    let mut input = String::from("3");
    let counter = make_counter(&input);

    // We can mutate `input` because the iterator doesn't borrow it
    input.clear();

    let values: Vec<usize> = counter.collect();
    assert_eq!(values, vec![3, 4, 5, 6, 7]);
}

A small annotation that unlocks flexibility the compiler couldn’t infer on its own. If you’ve upgraded to Rust 2024 and hit mysterious “borrowed value does not live long enough” errors on impl Trait returns, use<> is likely the fix.

64. Iterator::unzip — Split Pairs into Separate Collections

Got an iterator of tuples and need two separate collections? Stop looping and pushing manually — unzip splits pairs into two collections in a single pass.

The problem

You have an iterator that yields pairs — maybe key-value tuples from a computation, or results from enumerate. You need two separate Vecs. The manual approach works, but it’s noisy:

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let pairs = vec![("Alice", 95), ("Bob", 87), ("Carol", 92)];

let mut names = Vec::new();
let mut scores = Vec::new();
for (name, score) in &pairs {
    names.push(*name);
    scores.push(*score);
}

assert_eq!(names, vec!["Alice", "Bob", "Carol"]);
assert_eq!(scores, vec![95, 87, 92]);

Two mutable Vecs, a loop, manual pushes — all to split pairs apart.

The fix

Iterator::unzip does exactly this in one line:

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let pairs = vec![("Alice", 95), ("Bob", 87), ("Carol", 92)];

let (names, scores): (Vec<&str>, Vec<i32>) = pairs.into_iter().unzip();

assert_eq!(names, vec!["Alice", "Bob", "Carol"]);
assert_eq!(scores, vec![95, 87, 92]);

The type annotation on the left tells Rust which collections to build. It works with any types that implement Default + Extend — so Vec, String, HashSet, and more.

Works great with enumerate

Need indices and values in separate collections?

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let fruits = vec!["apple", "banana", "cherry"];

let (indices, items): (Vec<usize>, Vec<&&str>) = fruits.iter().enumerate().unzip();

assert_eq!(indices, vec![0, 1, 2]);
assert_eq!(items, vec![&"apple", &"banana", &"cherry"]);

Combine with map for transforms

Chain map before unzip to transform on the fly:

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let data = vec![("temp_c", 20.0), ("temp_c", 35.0), ("temp_c", 0.0)];

let (labels, fahrenheit): (Vec<&str>, Vec<f64>) = data
    .into_iter()
    .map(|(label, c)| (label, c * 9.0 / 5.0 + 32.0))
    .unzip();

assert_eq!(labels, vec!["temp_c", "temp_c", "temp_c"]);
assert_eq!(fahrenheit, vec![68.0, 95.0, 32.0]);

Unzip into different collection types

Since unzip works with any Default + Extend types, you can collect into mixed collections:

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use std::collections::HashSet;

let entries = vec![("admin", "read"), ("admin", "write"), ("user", "read")];

let (roles, perms): (Vec<&str>, HashSet<&str>) = entries.into_iter().unzip();

assert_eq!(roles, vec!["admin", "admin", "user"]);
assert_eq!(perms.len(), 2); // "read" and "write", deduplicated
assert!(perms.contains("read"));
assert!(perms.contains("write"));

One side is a Vec, the other is a HashSetunzip doesn’t care, as long as both sides can extend themselves.

Whenever you’re about to write a loop that pushes into two collections, reach for unzip instead.

63. fmt::from_fn — Display Anything With a Closure

Need a quick Display impl without defining a whole new type? std::fmt::from_fn turns any closure into a formattable value — ad-hoc Display in one line.

The problem: Display needs a type

Normally, implementing Display means creating a wrapper struct just to control how something gets formatted:

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use std::fmt;

struct CommaSeparated<'a>(&'a [i32]);

impl fmt::Display for CommaSeparated<'_> {
    fn fmt(&self, f: &mut fmt::Formatter<'_>) -> fmt::Result {
        for (i, val) in self.0.iter().enumerate() {
            if i > 0 { write!(f, ", ")?; }
            write!(f, "{val}")?;
        }
        Ok(())
    }
}

fn main() {
    let nums = vec![1, 2, 3];
    let display = CommaSeparated(&nums);
    assert_eq!(display.to_string(), "1, 2, 3");
}

That’s a lot of boilerplate for “join with commas.”

After: fmt::from_fn

Stabilized in Rust 1.93, std::fmt::from_fn takes a closure Fn(&mut Formatter) -> fmt::Result and returns a value that implements Display (and Debug):

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use std::fmt;

fn main() {
    let nums = vec![1, 2, 3];

    let display = fmt::from_fn(|f| {
        for (i, val) in nums.iter().enumerate() {
            if i > 0 { write!(f, ", ")?; }
            write!(f, "{val}")?;
        }
        Ok(())
    });

    assert_eq!(display.to_string(), "1, 2, 3");
    // Works directly in format strings too
    assert_eq!(format!("numbers: {display}"), "numbers: 1, 2, 3");
}

No wrapper type, no trait impl — just a closure that writes to a formatter.

Building reusable formatters

Wrap from_fn in a function and you have a reusable formatter without the boilerplate:

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use std::fmt;

fn join_with<'a, I, T>(iter: I, sep: &'a str) -> impl fmt::Display + 'a
where
    I: IntoIterator<Item = T> + 'a,
    T: fmt::Display + 'a,
{
    fmt::from_fn(move |f| {
        let mut first = true;
        for item in iter {
            if !first { write!(f, "{sep}")?; }
            first = false;
            write!(f, "{item}")?;
        }
        Ok(())
    })
}

fn main() {
    let tags = vec!["rust", "formatting", "closures"];
    assert_eq!(join_with(tags, " | ").to_string(), "rust | formatting | closures");

    let nums = vec![10, 20, 30];
    assert_eq!(format!("sum of [{}]", join_with(nums, " + ")), "sum of [10 + 20 + 30]");
}

Lazy formatting — no allocation until needed

from_fn is lazy — the closure only runs when the value is actually formatted. This makes it perfect for logging where most messages might be filtered out:

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use std::fmt;

fn debug_summary(data: &[u8]) -> impl fmt::Display + '_ {
    fmt::from_fn(move |f| {
        write!(f, "[{} bytes: ", data.len())?;
        for (i, byte) in data.iter().take(4).enumerate() {
            if i > 0 { write!(f, " ")?; }
            write!(f, "{byte:02x}")?;
        }
        if data.len() > 4 { write!(f, " ...")?; }
        write!(f, "]")
    })
}

fn main() {
    let payload = vec![0xDE, 0xAD, 0xBE, 0xEF, 0x42, 0x00];
    let summary = debug_summary(&payload);

    // The closure hasn't run yet — zero work done
    // It only formats when you actually use it:
    assert_eq!(summary.to_string(), "[6 bytes: de ad be ef ...]");
}

No String is allocated unless something actually calls Display::fmt. Compare that to eagerly building a debug string just in case.

from_fn also implements Debug

The returned value implements both Display and Debug, so it works with {:?} too:

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use std::fmt;

fn main() {
    let val = fmt::from_fn(|f| write!(f, "custom"));
    assert_eq!(format!("{val}"),   "custom");
    assert_eq!(format!("{val:?}"), "custom");
}

fmt::from_fn is a tiny addition to std that removes a surprisingly common friction point — any time you’d reach for a newtype just to implement Display, try a closure instead.

#062 Apr 2026

62. Iterator::flat_map — Map and Flatten in One Step

Need to transform each element into multiple items and collect them all into a flat sequence? flat_map combines map and flatten into a single, expressive call.

The nested iterator problem

Say you have a list of sentences and want all individual words. The naive approach with map gives you an iterator of iterators:

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let sentences = vec!["hello world", "foo bar baz"];

// map gives us an iterator of Split iterators — not what we want
let nested: Vec<Vec<&str>> = sentences.iter()
    .map(|s| s.split_whitespace().collect())
    .collect();

assert_eq!(nested, vec![vec!["hello", "world"], vec!["foo", "bar", "baz"]]);

You could chain .map().flatten(), but flat_map does both at once:

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let sentences = vec!["hello world", "foo bar baz"];

let words: Vec<&str> = sentences.iter()
    .flat_map(|s| s.split_whitespace())
    .collect();

assert_eq!(words, vec!["hello", "world", "foo", "bar", "baz"]);

Expanding one-to-many relationships

flat_map shines when each input element maps to zero or more outputs. Think of it as a one-to-many transform:

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let numbers = vec![1, 2, 3];

// Each number expands to itself and its double
let expanded: Vec<i32> = numbers.iter()
    .flat_map(|&n| vec![n, n * 2])
    .collect();

assert_eq!(expanded, vec![1, 2, 2, 4, 3, 6]);

Filtering and transforming at once

Since flat_map’s closure can return an empty iterator, it naturally combines filtering and mapping — just return None or Some:

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let inputs = vec!["42", "not_a_number", "7", "oops", "13"];

let parsed: Vec<i32> = inputs.iter()
    .flat_map(|s| s.parse::<i32>().ok())
    .collect();

assert_eq!(parsed, vec![42, 7, 13]);

This works because Option implements IntoIteratorSome(x) yields one item, None yields zero. It’s equivalent to filter_map, but flat_map generalizes to any iterator, not just Option.

Traversing nested structures

Got a tree-like structure? flat_map lets you drill into children naturally:

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struct Team {
    name: &'static str,
    members: Vec<&'static str>,
}

let teams = vec![
    Team { name: "backend", members: vec!["Alice", "Bob"] },
    Team { name: "frontend", members: vec!["Carol"] },
    Team { name: "devops", members: vec!["Dave", "Eve", "Frank"] },
];

let all_members: Vec<&str> = teams.iter()
    .flat_map(|team| team.members.iter().copied())
    .collect();

assert_eq!(all_members, vec!["Alice", "Bob", "Carol", "Dave", "Eve", "Frank"]);

flat_map vs map + flatten

They’re semantically identical — flat_map(f) is just map(f).flatten(). But flat_map reads better and signals your intent: “each element produces multiple items, and I want them all in one sequence.”

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let data = vec![vec![1, 2], vec![3], vec![4, 5, 6]];

// These are equivalent:
let a: Vec<i32> = data.iter().flat_map(|v| v.iter().copied()).collect();
let b: Vec<i32> = data.iter().map(|v| v.iter().copied()).flatten().collect();

assert_eq!(a, b);
assert_eq!(a, vec![1, 2, 3, 4, 5, 6]);

flat_map has been stable since Rust 1.0 — it’s a fundamental iterator combinator that replaces nested loops with clean, composable pipelines.

#061 Apr 2026

61. Iterator::reduce — Fold Without an Initial Value

Using fold but your accumulator starts as the first element anyway? Iterator::reduce cuts out the boilerplate and handles empty iterators gracefully.

The fold pattern you keep writing

When finding the longest string, maximum value, or combining elements, fold forces you to pick an initial value — often awkwardly:

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let words = vec!["rust", "is", "awesome"];

let longest = words.iter().fold("", |acc, &w| {
    if w.len() > acc.len() { w } else { acc }
});

assert_eq!(longest, "awesome");

That empty string "" is a code smell — it’s not a real element, it’s just satisfying fold’s signature. And if the input is empty, you silently get "" back instead of knowing there was nothing to reduce.

Enter reduce

Iterator::reduce uses the first element as the initial accumulator. No seed value needed, and it returns Option<T>None for empty iterators:

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let words = vec!["rust", "is", "awesome"];

let longest = words.iter().reduce(|acc, w| {
    if w.len() > acc.len() { w } else { acc }
});

assert_eq!(longest, Some(&"awesome"));

The Option return makes the empty case explicit — no more silent defaults.

Finding extremes without max_by

reduce is perfect for custom comparisons where max_by feels heavy:

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let scores = vec![("Alice", 92), ("Bob", 87), ("Carol", 95), ("Dave", 88)];

let top_scorer = scores.iter().reduce(|best, current| {
    if current.1 > best.1 { current } else { best }
});

assert_eq!(top_scorer, Some(&("Carol", 95)));

Concatenating without an allocator seed

Building a combined result from parts? reduce avoids allocating an empty starter:

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let parts = vec![
    String::from("hello"),
    String::from(" "),
    String::from("world"),
];

let combined = parts.into_iter().reduce(|mut acc, s| {
    acc.push_str(&s);
    acc
});

assert_eq!(combined, Some(String::from("hello world")));

Compare this to fold(String::new(), ...) — with reduce, the first String becomes the accumulator directly, saving one allocation.

reduce vs fold — when to use which

Use reduce when the accumulator is the same type as the elements and there’s no meaningful “zero” value. Use fold when you need a different return type or a specific starting value:

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// reduce: same type in, same type out
let sum = vec![1, 2, 3, 4].into_iter().reduce(|a, b| a + b);
assert_eq!(sum, Some(10));

// fold: different return type (counting into a HashMap)
use std::collections::HashMap;
let counts = vec!["a", "b", "a", "c", "b", "a"]
    .into_iter()
    .fold(HashMap::new(), |mut map, item| {
        *map.entry(item).or_insert(0) += 1;
        map
    });
assert_eq!(counts["a"], 3);

reduce has been stable since Rust 1.51 — it’s the functional programmer’s best friend for collapsing iterators when the first element is your natural starting point.

60. Iterator::partition — Split a Collection in Two

Need to split a collection into two groups based on a condition? Skip the manual loop — Iterator::partition does it in one call.

The manual way

Without partition, you’d loop and push into two separate vectors:

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let numbers = vec![1, 2, 3, 4, 5, 6, 7, 8];

let mut evens = Vec::new();
let mut odds = Vec::new();

for n in numbers {
    if n % 2 == 0 {
        evens.push(n);
    } else {
        odds.push(n);
    }
}

assert_eq!(evens, vec![2, 4, 6, 8]);
assert_eq!(odds, vec![1, 3, 5, 7]);

It works, but it’s a lot of ceremony for a simple split.

Enter partition

Iterator::partition collects into two collections in a single pass. Items where the predicate returns true go left, false goes right:

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let numbers = vec![1, 2, 3, 4, 5, 6, 7, 8];

let (evens, odds): (Vec<_>, Vec<_>) = numbers
    .iter()
    .partition(|&&n| n % 2 == 0);

assert_eq!(evens, vec![&2, &4, &6, &8]);
assert_eq!(odds, vec![&1, &3, &5, &7]);

The type annotation (Vec<_>, Vec<_>) is required — Rust needs to know what collections to build. You can partition into any type that implements Default + Extend, not just Vec.

Owned values with into_iter

Use into_iter() when you want owned values instead of references:

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let files = vec![
    "main.rs", "lib.rs", "test_utils.rs",
    "README.md", "CHANGELOG.md",
];

let (rust_files, other_files): (Vec<_>, Vec<_>) = files
    .into_iter()
    .partition(|f| f.ends_with(".rs"));

assert_eq!(rust_files, vec!["main.rs", "lib.rs", "test_utils.rs"]);
assert_eq!(other_files, vec!["README.md", "CHANGELOG.md"]);

A practical use: triaging results

partition pairs beautifully with Result to separate successes from failures:

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let inputs = vec!["42", "not_a_number", "7", "oops", "13"];

let (oks, errs): (Vec<_>, Vec<_>) = inputs
    .iter()
    .map(|s| s.parse::<i32>())
    .partition(Result::is_ok);

let values: Vec<i32> = oks.into_iter().map(Result::unwrap).collect();
let failures: Vec<_> = errs.into_iter().map(Result::unwrap_err).collect();

assert_eq!(values, vec![42, 7, 13]);
assert_eq!(failures.len(), 2);

partition has been stable since Rust 1.0 — one of those hidden gems that’s been there all along. Anytime you reach for a loop to split items into two buckets, reach for partition instead.

#059 Apr 2026

59. split_first_chunk — Destructure Slices into Arrays

Parsing a header from a byte buffer? Extracting the first N elements of a slice? split_first_chunk hands you a fixed-size array and the remainder in one call — no manual indexing, no panics.

The Problem

You have a byte slice and need to pull out a fixed-size prefix — say a 4-byte magic number or a 2-byte length field. The manual approach is fragile:

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fn parse_header(data: &[u8]) -> Option<([u8; 4], &[u8])> {
    if data.len() < 4 {
        return None;
    }
    let header: [u8; 4] = data[..4].try_into().unwrap();
    let rest = &data[4..];
    Some((header, rest))
}

fn main() {
    let packet = b"RUST is awesome";
    let (header, rest) = parse_header(packet).unwrap();
    assert_eq!(&header, b"RUST");
    assert_eq!(rest, b" is awesome");
}

That try_into().unwrap() is ugly, and if you get the index arithmetic wrong, you get a panic at runtime.

After: split_first_chunk

Stabilized in Rust 1.77, split_first_chunk splits a slice into a &[T; N] array reference and the remaining slice — returning None if the slice is too short:

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fn parse_header(data: &[u8]) -> Option<(&[u8; 4], &[u8])> {
    data.split_first_chunk::<4>()
}

fn main() {
    let packet = b"RUST is awesome";
    let (magic, rest) = parse_header(packet).unwrap();
    assert_eq!(magic, b"RUST");
    assert_eq!(rest, b" is awesome");

    // Too short — returns None instead of panicking
    let tiny = b"RS";
    assert!(tiny.split_first_chunk::<4>().is_none());
}

One method call. No manual slicing, no try_into, and the const generic N ensures the compiler knows the exact array size.

Chaining Chunks for Protocol Parsing

Real protocols have multiple fields. Chain split_first_chunk calls to peel them off one at a time:

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fn parse_packet(data: &[u8]) -> Option<([u8; 2], [u8; 4], &[u8])> {
    let (version, rest) = data.split_first_chunk::<2>()?;
    let (length, payload) = rest.split_first_chunk::<4>()?;
    Some((*version, *length, payload))
}

fn main() {
    let raw = b"\x01\x02\x00\x00\x00\x05hello";
    let (version, length, payload) = parse_packet(raw).unwrap();

    assert_eq!(version, [0x01, 0x02]);
    assert_eq!(length, [0x00, 0x00, 0x00, 0x05]);
    assert_eq!(payload, b"hello");
}

Each ? short-circuits if the remaining data is too short. No bounds checks scattered across your code.

From the Other End: split_last_chunk

Need to grab a suffix instead — like a trailing checksum? split_last_chunk mirrors the API from the back:

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fn strip_checksum(data: &[u8]) -> Option<(&[u8], &[u8; 2])> {
    data.split_last_chunk::<2>()
}

fn main() {
    let msg = b"payload\xAB\xCD";
    let (body, checksum) = strip_checksum(msg).unwrap();
    assert_eq!(body, b"payload");
    assert_eq!(checksum, &[0xAB, 0xCD]);

    let short = b"\x01";
    assert!(strip_checksum(short).is_none());
}

Same safety, same ergonomics — just peeling from the tail.

The Full Family

These methods come in mutable variants too, all stabilized in 1.77:

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fn main() {
    // Immutable — borrow array refs from a slice
    let data: &[u8] = &[1, 2, 3, 4, 5];
    let (head, tail) = data.split_first_chunk::<2>().unwrap();
    assert_eq!(head, &[1, 2]);
    assert_eq!(tail, &[3, 4, 5]);

    // split_last_chunk — from the back
    let (init, last) = data.split_last_chunk::<2>().unwrap();
    assert_eq!(init, &[1, 2, 3]);
    assert_eq!(last, &[4, 5]);

    // first_chunk / last_chunk — just the array, no remainder
    let first: &[u8; 3] = data.first_chunk::<3>().unwrap();
    assert_eq!(first, &[1, 2, 3]);

    let last: &[u8; 3] = data.last_chunk::<3>().unwrap();
    assert_eq!(last, &[3, 4, 5]);
}

Wherever you reach for &data[..N] and a try_into(), there’s probably a chunk method that does it better. Type-safe, bounds-checked, and zero-cost.

#058 Apr 2026

58. Option::is_none_or — The Guard Clause You Were Missing

You know is_some_and — it checks if the Option holds a value matching a predicate. But what about “it’s fine if it’s missing, just validate it when it’s there”? That’s is_none_or.

The Problem

You have an optional field and want to validate it only when present. Without is_none_or, this gets awkward fast:

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struct Query {
    max_results: Option<usize>,
}

fn is_valid(q: &Query) -> bool {
    // "None is fine, but if set, must be ≤ 100"
    match q.max_results {
        None => true,
        Some(n) => n <= 100,
    }
}

fn main() {
    assert!(is_valid(&Query { max_results: None }));
    assert!(is_valid(&Query { max_results: Some(50) }));
    assert!(!is_valid(&Query { max_results: Some(200) }));
}

That match is fine once, but when you’re validating five optional fields, it bloats your code.

After: is_none_or

Stabilized in Rust 1.82, is_none_or collapses the pattern into a single call — returns true if the Option is None, or applies the predicate if it’s Some:

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struct Query {
    max_results: Option<usize>,
    page: Option<usize>,
    prefix: Option<String>,
}

fn is_valid(q: &Query) -> bool {
    q.max_results.is_none_or(|n| n <= 100)
        && q.page.is_none_or(|p| p >= 1)
        && q.prefix.is_none_or(|s| !s.is_empty())
}

fn main() {
    let good = Query {
        max_results: Some(50),
        page: Some(1),
        prefix: None,
    };
    assert!(is_valid(&good));

    let bad = Query {
        max_results: Some(200),
        page: Some(0),
        prefix: Some(String::new()),
    };
    assert!(!is_valid(&bad));

    let empty = Query {
        max_results: None,
        page: None,
        prefix: None,
    };
    assert!(is_valid(&empty));
}

Three fields validated in three clean lines. Every None passes, every Some must satisfy the predicate.

is_some_and vs is_none_or — Pick the Right Default

Think of it this way — what happens when the value is None?

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fn main() {
    let val: Option<i32> = None;

    // is_some_and: None → false (strict: must be present AND valid)
    assert_eq!(val.is_some_and(|x| x > 0), false);

    // is_none_or: None → true (lenient: absence is acceptable)
    assert_eq!(val.is_none_or(|x| x > 0), true);

    let val = Some(5);

    // Both agree when value is present and valid
    assert_eq!(val.is_some_and(|x| x > 0), true);
    assert_eq!(val.is_none_or(|x| x > 0), true);

    let val = Some(-1);

    // Both agree when value is present and invalid
    assert_eq!(val.is_some_and(|x| x > 0), false);
    assert_eq!(val.is_none_or(|x| x > 0), false);
}

Use is_some_and when a value must be present. Use is_none_or when absence is fine — optional config, nullable API fields, or any “default-if-missing” scenario.

Real-World: Filtering with Optional Criteria

This pattern is perfect for search filters where users only set the criteria they care about:

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struct Filter {
    min_price: Option<f64>,
    category: Option<String>,
}

struct Product {
    name: String,
    price: f64,
    category: String,
}

fn matches(product: &Product, filter: &Filter) -> bool {
    filter.min_price.is_none_or(|min| product.price >= min)
        && filter.category.is_none_or(|cat| product.category == *cat)
}

fn main() {
    let products = vec![
        Product { name: "Laptop".into(), price: 999.0, category: "Electronics".into() },
        Product { name: "Book".into(), price: 15.0, category: "Books".into() },
        Product { name: "Phone".into(), price: 699.0, category: "Electronics".into() },
    ];

    let filter = Filter {
        min_price: Some(100.0),
        category: Some("Electronics".into()),
    };

    let results: Vec<_> = products.iter().filter(|p| matches(p, &filter)).collect();
    assert_eq!(results.len(), 2);
    assert_eq!(results[0].name, "Laptop");
    assert_eq!(results[1].name, "Phone");
}

Every None filter lets everything through. Every Some filter narrows the results. No match statements, no nested ifs — just composable guards.

#057 Apr 2026

57. New Math Constants — GOLDEN_RATIO and EULER_GAMMA in std

Tired of defining your own golden ratio or Euler-Mascheroni constant? As of Rust 1.94, std ships them out of the box — no more copy-pasting magic numbers.

Before: Roll Your Own

If you needed the golden ratio or the Euler-Mascheroni constant before Rust 1.94, you had to define them yourself:

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const PHI: f64 = 1.618033988749895;
const EULER_GAMMA: f64 = 0.5772156649015329;

This works, but it’s error-prone. One wrong digit and your calculations drift. And every project that needs these ends up with its own slightly-different copy.

After: Just Use std

Rust 1.94 added GOLDEN_RATIO and EULER_GAMMA to the standard consts modules for both f32 and f64:

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use std::f64::consts::{GOLDEN_RATIO, EULER_GAMMA};

fn main() {
    // Golden ratio: (1 + √5) / 2
    let phi = GOLDEN_RATIO;
    assert!((phi * phi - phi - 1.0).abs() < 1e-10);

    // Euler-Mascheroni constant
    let gamma = EULER_GAMMA;
    assert!((gamma - 0.5772156649015329).abs() < 1e-10);

    println!("φ = {phi}");
    println!("γ = {gamma}");
}

These sit right alongside the constants you already know — PI, TAU, E, SQRT_2, and friends.

Where You’d Actually Use Them

Golden ratio shows up in algorithm design (Fibonacci heaps, golden-section search), generative art, and UI layout proportions:

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use std::f64::consts::GOLDEN_RATIO;

fn golden_section_dimensions(width: f64) -> (f64, f64) {
    let height = width / GOLDEN_RATIO;
    (width, height)
}

fn main() {
    let (w, h) = golden_section_dimensions(800.0);
    assert!((w / h - GOLDEN_RATIO).abs() < 1e-10);
    println!("Width: {w}, Height: {h:.2}");
}

Euler-Mascheroni constant appears in number theory, harmonic series approximations, and probability:

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use std::f64::consts::EULER_GAMMA;

/// Approximate the N-th harmonic number using the
/// asymptotic expansion: H_n ≈ ln(n) + γ + 1/(2n)
fn harmonic_approx(n: u64) -> f64 {
    let nf = n as f64;
    nf.ln() + EULER_GAMMA + 1.0 / (2.0 * nf)
}

fn main() {
    // Exact H_10 = 1 + 1/2 + 1/3 + ... + 1/10
    let exact: f64 = (1..=10).map(|i| 1.0 / i as f64).sum();
    let approx = harmonic_approx(10);

    println!("Exact H_10:  {exact:.6}");
    println!("Approx H_10: {approx:.6}");
    assert!((exact - approx).abs() < 0.01);
}

The Full Lineup

With these additions, std::f64::consts now includes: PI, TAU, E, SQRT_2, SQRT_3, LN_2, LN_10, LOG2_E, LOG2_10, LOG10_2, LOG10_E, FRAC_1_PI, FRAC_1_SQRT_2, FRAC_1_SQRT_2PI, FRAC_2_PI, FRAC_2_SQRT_PI, FRAC_PI_2, FRAC_PI_3, FRAC_PI_4, FRAC_PI_6, FRAC_PI_8, GOLDEN_RATIO, and EULER_GAMMA. That’s a pretty complete toolkit for numerical work — all with full f64 precision, available at compile time.

56. Iterator::map_while — Take While Transforming

Need to take elements from an iterator while a condition holds and transform them at the same time? map_while does both in one step — no awkward take_while + map chains needed.

The Problem

Imagine you’re parsing leading digits from a string. With take_while and map, you’d write something like this:

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let input = "42abc";

let digits: Vec<u32> = input
    .chars()
    .take_while(|c| c.is_ascii_digit())
    .map(|c| c.to_digit(10).unwrap())
    .collect();

assert_eq!(digits, vec![4, 2]);

This works, but the condition and the transformation are split across two combinators. The unwrap() in map is also a code smell — you know the char is a digit because take_while checked, but the compiler doesn’t.

The Solution

map_while combines both steps. Your closure returns Some(value) to keep going or None to stop:

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let input = "42abc";

let digits: Vec<u32> = input
    .chars()
    .map_while(|c| c.to_digit(10))
    .collect();

assert_eq!(digits, vec![4, 2]);

char::to_digit already returns Option<u32> — it’s Some(n) for digits and None otherwise. That’s a perfect fit for map_while. No separate condition, no unwrap.

A More Practical Example

Parse key-value config lines until you hit a blank line:

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let lines = vec![
    "host=localhost",
    "port=8080",
    "",
    "ignored=true",
];

let config: Vec<(&str, &str)> = lines
    .iter()
    .map_while(|line| line.split_once('='))
    .collect();

assert_eq!(config, vec![("host", "localhost"), ("port", "8080")]);

When split_once('=') hits the empty line "", it returns None — and the iterator stops. Everything after the blank line is skipped, no extra logic required.

map_while vs take_while + map

The key difference: map_while fuses the predicate and the transformation into one closure, which means:

  • No redundant checks — you don’t test a condition in take_while and then repeat similar logic in map.
  • No unwrap — since the closure returns Option, you never need to unwrap inside a subsequent map.
  • Cleaner intent — one combinator says “transform elements until you can’t.”

Reach for map_while whenever your stopping condition and your transformation are two sides of the same coin.

#055 Apr 2026

55. floor_char_boundary — Truncate Strings Without Breaking UTF-8

Ever tried to truncate a string to a byte limit and got a panic because you sliced in the middle of a multi-byte character? floor_char_boundary fixes that.

The Problem

Slicing a string at an arbitrary byte index panics if that index lands inside a multi-byte UTF-8 character:

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let s = "Héllo 🦀 world";
// This panics at runtime!
// let truncated = &s[..5]; // 'é' spans bytes 1..3, index 5 is fine here
// but what if we don't know the content?
let s = "🦀🦀🦀"; // each crab is 4 bytes
// &s[..5] would panic — byte 5 is inside the second crab!

You could scan backward byte-by-byte checking is_char_boundary(), but that’s tedious and easy to get wrong.

The Fix: floor_char_boundary

str::floor_char_boundary(index) returns the largest byte position at or before index that sits on a valid character boundary. Its counterpart ceil_char_boundary gives you the smallest position at or after the index.

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fn main() {
    let s = "🦀🦀🦀"; // each 🦀 is 4 bytes, total 12 bytes

    // We want ~6 bytes, but byte 6 is inside the second crab
    let i = s.floor_char_boundary(6);
    assert_eq!(i, 4); // rounds down to end of first 🦀
    assert_eq!(&s[..i], "🦀");

    // ceil_char_boundary rounds up instead
    let j = s.ceil_char_boundary(6);
    assert_eq!(j, 8); // rounds up to end of second 🦀
    assert_eq!(&s[..j], "🦀🦀");
}

Real-World Use: Safe Truncation

Here’s a practical helper that truncates a string to fit a byte budget, adding an ellipsis if it was shortened:

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fn truncate(s: &str, max_bytes: usize) -> String {
    if s.len() <= max_bytes {
        return s.to_string();
    }
    let end = s.floor_char_boundary(max_bytes.saturating_sub(3));
    format!("{}...", &s[..end])
}

fn main() {
    let bio = "I love Rust 🦀 and crabs!";
    let short = truncate(bio, 16);
    assert_eq!(short, "I love Rust 🦀...");
    // 'I love Rust 🦀' = 15 bytes + '...' = 18 total
    // Safe! No panics, no broken characters.

    // Short strings pass through unchanged
    assert_eq!(truncate("hi", 10), "hi");
}

No more manual boundary scanning — these two methods handle the UTF-8 dance for you.

54. Cell::update — Modify Interior Values Without the Gymnastics

Tired of writing cell.set(cell.get() + 1) every time you want to tweak a Cell value? Rust 1.88 added Cell::update — one call to read, transform, and write back.

The old way

Cell<T> gives you interior mutability for Copy types, but updating a value always felt clunky:

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use std::cell::Cell;

fn main() {
    let counter = Cell::new(0u32);

    // Read, modify, write back — three steps for one logical operation
    counter.set(counter.get() + 1);
    counter.set(counter.get() + 1);
    counter.set(counter.get() + 1);

    assert_eq!(counter.get(), 3);
    println!("Counter: {}", counter.get());
}

You’re calling .get() and .set() in the same expression, which is repetitive and visually noisy — especially when the transformation is more complex than + 1.

Enter Cell::update

Stabilized in Rust 1.88, update takes a closure that receives the current value and returns the new one:

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use std::cell::Cell;

fn main() {
    let counter = Cell::new(0u32);

    counter.update(|n| n + 1);
    counter.update(|n| n + 1);
    counter.update(|n| n + 1);

    assert_eq!(counter.get(), 3);
    println!("Counter: {}", counter.get());
}

One call. No repetition of the cell name. The intent — “increment this value” — is immediately clear.

Beyond simple increments

update shines when the transformation is more involved:

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use std::cell::Cell;

fn main() {
    let flags = Cell::new(0b0000_1010u8);

    // Toggle bit 0
    flags.update(|f| f ^ 0b0000_0001);
    assert_eq!(flags.get(), 0b0000_1011);

    // Clear the top nibble
    flags.update(|f| f & 0b0000_1111);
    assert_eq!(flags.get(), 0b0000_1011);

    // Saturating shift left
    flags.update(|f| f.saturating_mul(2));
    assert_eq!(flags.get(), 22);

    println!("Flags: {:#010b}", flags.get());
}

Compare that to flags.set(flags.get() ^ 0b0000_0001) — the update version reads like a pipeline of transformations.

A practical example: tracking state in callbacks

Cell::update is especially handy inside closures where you need shared mutable state without reaching for RefCell:

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use std::cell::Cell;

fn main() {
    let total = Cell::new(0i64);

    let prices = [199, 450, 85, 320, 1200];
    let discounted: Vec<i64> = prices.iter().map(|&price| {
        let final_price = if price > 500 { price * 9 / 10 } else { price };
        total.update(|t| t + final_price);
        final_price
    }).collect();

    assert_eq!(discounted, vec![199, 450, 85, 320, 1080]);
    assert_eq!(total.get(), 2134);
    println!("Prices: {:?}, Total: {}", discounted, total.get());
}

No RefCell, no runtime borrow checks, no panics — just a clean in-place update.

The signature

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impl<T: Copy> Cell<T> {
    pub fn update(&self, f: impl FnOnce(T) -> T);
}

Note the T: Copy bound — this works because Cell copies the value out, passes it to your closure, and copies the result back in. If you need this for non-Copy types, you’ll still want RefCell.

Simple, ergonomic, and long overdue. Available since Rust 1.88.0.

#053 Mar 2026

53. element_offset — Find an Element's Index by Reference

Ever had a reference to an element inside a slice but needed its index? Before Rust 1.94, you’d reach for .position() with value equality or resort to pointer math. Now there’s a cleaner way.

The problem

Imagine you’re scanning a slice and a helper function hands you back a reference to the element it found. You know the reference points somewhere inside your slice, but you need the index — not a value-based search.

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fn first_long_word<'a>(words: &'a [&str]) -> Option<&'a &'a str> {
    words.iter().find(|w| w.len() > 5)
}

You could call .position() with value comparison, but that re-scans the slice and compares by value — which is wasteful when you already hold the exact reference.

The solution: element_offset

<[T]>::element_offset takes a reference to an element and returns its Option<usize> index by comparing pointers, not values. If the reference points into the slice, you get Some(index). If it doesn’t, you get None.

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fn main() {
    let words = ["hi", "hello", "rustacean", "world"];

    // A helper hands us a reference into the slice
    let found: &&str = words.iter().find(|w| w.len() > 5).unwrap();

    // Get the index by reference identity — no value scan needed
    let index = words.element_offset(found).unwrap();

    assert_eq!(index, 2);
    assert_eq!(words[index], "rustacean");

    println!("Found '{}' at index {}", found, index);
}

Why not .position()?

.position() compares by value and has to walk the slice from the start. element_offset is an O(1) pointer comparison — it checks whether your reference falls within the slice’s memory range and computes the offset directly.

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fn main() {
    let values = [10, 20, 10, 30];

    let third = &values[2]; // points at the second '10'

    // position() finds the FIRST 10 (index 0) — wrong!
    let by_value = values.iter().position(|v| v == third);
    assert_eq!(by_value, Some(0));

    // element_offset() finds THIS exact element (index 2) — correct!
    let by_ref = values.element_offset(third);
    assert_eq!(by_ref, Some(2));

    println!("By value: {:?}, By reference: {:?}", by_value, by_ref);
}

This distinction matters whenever your slice has duplicate values.

When the reference is outside the slice

If the reference doesn’t point into the slice, you get None:

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fn main() {
    let a = [1, 2, 3];
    let outside = &42;

    assert_eq!(a.element_offset(outside), None);

    println!("Outside reference: {:?}", a.element_offset(outside));
}

Clean, safe, and no unsafe pointer arithmetic required. Available since Rust 1.94.0.

52. Peekable::next_if_map — Peek, Match, and Transform in One Step

Tired of peeking at the next element, checking if it matches, and then consuming and transforming it? next_if_map collapses that entire dance into a single call.

The problem

When writing parsers or processing token streams, you often need to conditionally consume the next element and extract something from it. With next_if and peek, you end up doing the work twice — once to check, once to transform:

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let mut iter = vec![1_i64, 2, -3, 4].into_iter().peekable();

// Clunky: peek, check, consume, transform — separately
let val = if iter.peek().is_some_and(|n| *n > 0) {
    iter.next().map(|n| n * 10)
} else {
    None
};

assert_eq!(val, Some(10));

It works, but you’re expressing the same logic in two places and the code doesn’t clearly convey its intent.

Enter next_if_map

Stabilized in Rust 1.94, Peekable::next_if_map takes a closure that returns Result<R, I::Item>. Return Ok(transformed) to consume the element, or Err(original) to put it back:

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let mut iter = vec![1_i64, 2, -3, 4].into_iter().peekable();

// Clean: one closure handles the check AND the transformation
let val = iter.next_if_map(|n| {
    if n > 0 { Ok(n * 10) } else { Err(n) }
});

assert_eq!(val, Some(10));
assert_eq!(iter.next(), Some(2)); // iterator continues normally

The element is only consumed when you return Ok. If you return Err, the original value goes back and the iterator is unchanged.

Parsing example: extract leading digits

This is where next_if_map really shines — pulling typed tokens out of a character stream:

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let mut chars = "42abc".chars().peekable();

let mut number = 0u32;
while let Some(digit) = chars.next_if_map(|c| {
    c.to_digit(10).ok_or(c)
}) {
    number = number * 10 + digit;
}

assert_eq!(number, 42);
assert_eq!(chars.next(), Some('a')); // non-digit stays unconsumed

Each character is inspected once: digits are consumed and converted, and the first non-digit stops the loop without being eaten.

Key details

  • Atomic peek + consume + transform: no redundant checks, no repeated logic
  • Non-destructive on rejection: returning Err(item) puts the element back
  • Also available: next_if_map_mut takes FnOnce(&mut I::Item) -> Option<R> for when you don’t need ownership
  • Stable since Rust 1.94

Next time you’re writing a peek-then-consume pattern, reach for next_if_map — your parser will thank you.

51. File::lock — File Locking in the Standard Library

Multiple processes writing to the same file? That’s a recipe for corruption. Since Rust 1.89, File::lock gives you OS-backed file locking without external crates.

The problem

You have a CLI tool that appends to a shared log file. Two instances run at the same time, and suddenly your log entries are garbled — half a line from one process interleaved with another. Before 1.89, you’d reach for the fslock or file-lock crate. Now it’s built in.

Exclusive locking

File::lock() acquires an exclusive (write) lock. Only one handle can hold an exclusive lock at a time — all other attempts block until the lock is released:

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use std::fs::File;
use std::io::{self, Write};

fn main() -> io::Result<()> {
    let mut file = File::options()
        .write(true)
        .create(true)
        .open("/tmp/rustbites_lock_demo.txt")?;

    // Blocks until the lock is acquired
    file.lock()?;

    writeln!(file, "safe write from process {}", std::process::id())?;

    // Lock is released when the file is closed (dropped)
    Ok(())
}

When the File is dropped, the lock is automatically released. No manual unlock() needed — though you can call file.unlock() explicitly if you want to release it early.

Shared (read) locking

Sometimes you want to allow multiple readers but block writers. That’s what lock_shared() is for:

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use std::fs::File;
use std::io::{self, Read};

fn main() -> io::Result<()> {
    let mut file = File::open("/tmp/rustbites_lock_demo.txt")?;

    // Multiple processes can hold a shared lock simultaneously
    file.lock_shared()?;

    let mut contents = String::new();
    file.read_to_string(&mut contents)?;
    println!("Read: {contents}");

    file.unlock()?; // explicit release
    Ok(())
}

Shared locks coexist with other shared locks, but block exclusive lock attempts. Classic reader-writer pattern, enforced at the OS level.

Non-blocking with try_lock

Don’t want to wait? try_lock() and try_lock_shared() return immediately instead of blocking:

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use std::fs::{self, File, TryLockError};

fn main() -> std::io::Result<()> {
    let file = File::options()
        .write(true)
        .create(true)
        .open("/tmp/rustbites_trylock.txt")?;

    match file.try_lock() {
        Ok(()) => println!("Lock acquired!"),
        Err(TryLockError::WouldBlock) => println!("File is busy, try later"),
        Err(TryLockError::Error(e)) => return Err(e),
    }

    Ok(())
}

If another process holds the lock, you get TryLockError::WouldBlock instead of hanging. Perfect for tools that should fail fast rather than block when another instance is already running.

Key details

  • Advisory locks: these locks are advisory on most platforms — they don’t prevent other processes from reading/writing the file unless those processes also use locking
  • Automatic release: locks are released when the File handle is dropped
  • Cross-platform: works on Linux, macOS, and Windows (uses flock on Unix, LockFileEx on Windows)
  • Stable since Rust 1.89

50. slice::chunk_by — Group Consecutive Elements

Need to split a slice into groups of consecutive elements that share a property? chunk_by does exactly that — no allocations, no manual index tracking.

The problem

Imagine you have a sorted list of temperatures and want to group them into runs of non-decreasing values. Without chunk_by, you’d write a loop tracking where each group starts and ends:

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let temps = [18, 20, 22, 19, 21, 25, 24];
// Manual grouping... indices, slicing, off-by-one bugs 😬

Enter chunk_by

Stabilized in Rust 1.77, slice::chunk_by splits a slice between consecutive elements where the predicate returns false. Each chunk is a sub-slice where every adjacent pair satisfies the predicate:

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let temps = [18, 20, 22, 19, 21, 25, 24];

let runs: Vec<&[i32]> = temps.chunk_by(|a, b| a <= b).collect();

assert_eq!(runs, vec![
    &[18, 20, 22] as &[i32],
    &[19, 21, 25],
    &[24],
]);

The predicate |a, b| a <= b keeps elements in the same chunk as long as values are non-decreasing. The moment a value drops, a new chunk begins.

Group by equality

A common use case is grouping runs of equal elements:

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let data = [1, 1, 2, 3, 3, 3, 2, 2];

let groups: Vec<&[i32]> = data.chunk_by(|a, b| a == b).collect();

assert_eq!(groups, vec![
    &[1, 1] as &[i32],
    &[2],
    &[3, 3, 3],
    &[2, 2],
]);

Notice this groups consecutive equal elements — it’s not the same as a GROUP BY in SQL. The two runs of 2 stay separate because they aren’t adjacent.

Mutable chunks

There’s also chunk_by_mut if you need to modify elements within each group:

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let mut data = [1, 1, 2, 3, 3, 3, 2, 2];

for chunk in data.chunk_by_mut(|a, b| a == b) {
    // Double the first element in each run
    chunk[0] *= 2;
}

assert_eq!(data, [2, 1, 4, 6, 3, 3, 4, 2]);

Key details

  • Zero-cost: returns sub-slices of the original data — no allocations
  • Predicate sees pairs: |a, b| receives each consecutive pair; a new chunk starts where it returns false
  • Works on any slice: &[T], &mut [T], Vec<T> (via deref)
  • Stable since Rust 1.77

Next time you reach for a manual loop to group consecutive elements, try chunk_by instead.

#049 Mar 2026

49. std::io::pipe — Anonymous Pipes in the Standard Library

Need to wire up stdout and stderr from a child process, or stream data between threads? Since Rust 1.87, std::io::pipe() gives you OS-backed anonymous pipes without reaching for external crates.

What’s an anonymous pipe?

A pipe is a one-way data channel: one end writes, the other reads. Before 1.87, you needed the os_pipe crate or platform-specific code to get one. Now it’s a single function call:

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use std::io::{self, Read, Write};

fn main() -> io::Result<()> {
    let (mut reader, mut writer) = io::pipe()?;

    writer.write_all(b"hello from the pipe")?;
    drop(writer); // close the write end so reads hit EOF

    let mut buf = String::new();
    reader.read_to_string(&mut buf)?;
    assert_eq!(buf, "hello from the pipe");

    println!("Received: {buf}");
    Ok(())
}

pipe() returns a (PipeReader, PipeWriter) pair. PipeReader implements Read, PipeWriter implements Write — they plug into any generic I/O code you already have.

Merge stdout and stderr from a child process

The killer use case: capture both output streams from a subprocess as a single interleaved stream:

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use std::io::{self, Read};
use std::process::Command;

fn main() -> io::Result<()> {
    let (mut recv, send) = io::pipe()?;

    let mut child = Command::new("echo")
        .arg("hello world")
        .stdout(send.try_clone()?)
        .stderr(send)
        .spawn()?;

    child.wait()?;

    let mut output = String::new();
    recv.read_to_string(&mut output)?;
    assert!(output.contains("hello world"));

    println!("Combined output: {output}");
    Ok(())
}

The try_clone() on the writer lets both stdout and stderr write to the same pipe. When both copies of the PipeWriter are dropped (one moved into stdout, one into stderr), reads on the PipeReader return EOF.

Why not just use Command::output()?

Command::output() captures stdout and stderr separately into Vec<u8> — you get two blobs, no interleaving, and everything is buffered in memory. With pipes, you can stream the output as it arrives, merge the two streams, or fan data into multiple consumers. Pipes give you the plumbing; output() gives you the convenience.

Key behavior

A read on PipeReader blocks until data is available or all writers are closed. A write on PipeWriter blocks when the OS pipe buffer is full. This is the same behavior as Unix pipes under the hood — because that’s exactly what they are.

#048 Mar 2026

48. #[expect] — Lint Suppression That Cleans Up After Itself

Silencing a lint with #[allow] is easy — but forgetting to remove it when the code changes is even easier. #[expect] suppresses a lint and warns you when it’s no longer needed.

The problem with #[allow]

You add #[allow(unused_variables)] during a refactor, the code ships, months pass, the variable gets used — and the stale #[allow] stays forever:

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#[allow(unused_variables)]
let connection = db.connect(); // was unused during refactor
// ... later someone adds:
connection.execute("SELECT 1");
// the #[allow] above is now pointless, but no one notices

Over time, your codebase collects these like dust. They suppress diagnostics for problems that no longer exist.

Enter #[expect]

Stabilized in Rust 1.81, #[expect] works exactly like #[allow] — but fires a warning when the lint it suppresses is never triggered:

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#[expect(unused_variables)]
let unused = "Suppressed — and the compiler knows why";

#[expect(unused_variables)] // ⚠️ warning: this expectation is unfulfilled
let used = "I'm actually used!";
println!("{used}");

The first #[expect] is satisfied — the variable is unused, and the lint stays quiet. The second one triggers unfulfilled_lint_expectations because used isn’t actually unused. The compiler tells you: this suppression has no reason to exist.

Add a reason for future you

#[expect] supports an optional reason parameter that shows up in the warning message:

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#[expect(dead_code, reason = "will be used once the API module lands")]
fn prepare_response() -> Vec<u8> {
    vec![0x00, 0xFF]
}

When prepare_response gets called and the expectation becomes unfulfilled, the warning includes your reason — so future-you (or a teammate) knows exactly why it was there and that it’s safe to remove.

Works with Clippy too

#[expect] isn’t limited to compiler lints — it works with Clippy:

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#[expect(clippy::needless_return)]
fn legacy_style() -> i32 {
    return 42;
}

This is perfect for migrating a codebase to stricter Clippy rules incrementally. Suppress violations with #[expect], fix them over time, and the compiler will tell you when each suppression can go.

#[allow] vs #[expect] — when to use which

Use #[allow] when the suppression is permanent and intentional — you never want the lint to fire here. Use #[expect] when the suppression is temporary or when you want a reminder to revisit it. Think of #[expect] as a // TODO that the compiler actually enforces.

#047 Mar 2026

47. Vec::pop_if — Conditionally Pop the Last Element

Need to remove the last element of a Vec only when it meets a condition? Vec::pop_if does exactly that — no index juggling, no separate check-then-pop.

The old way

Before pop_if, you’d write something like this:

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let mut stack = vec![1, 2, 3, 4];

if stack.last().is_some_and(|x| *x > 3) {
    let val = stack.pop().unwrap();
    println!("Popped: {val}");
}

Two separate calls, and a subtle TOCTOU gap if you’re not careful — last() checks one thing, then pop() acts on an assumption.

Enter pop_if

Stabilized in Rust 1.86, pop_if combines the check and the removal into one atomic operation:

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let mut stack = vec![1, 2, 3, 4];

// Pop the last element only if it's greater than 3
let popped = stack.pop_if(|x| *x > 3);
assert_eq!(popped, Some(4));
assert_eq!(stack, [1, 2, 3]);

// Now the last element is 3 — doesn't match, so nothing happens
let stayed = stack.pop_if(|x| *x > 3);
assert_eq!(stayed, None);
assert_eq!(stack, [1, 2, 3]);

The closure receives a &mut T reference to the last element. If it returns true, the element is removed and returned as Some(T). If false (or the vec is empty), you get None.

Mutable access inside the predicate

Because the closure gets &mut T, you can even modify the element before deciding whether to pop it:

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let mut tasks = vec![
    String::from("buy milk"),
    String::from("URGENT: deploy fix"),
];

let urgent = tasks.pop_if(|task| {
    if task.starts_with("URGENT:") {
        *task = task.replacen("URGENT: ", "", 1);
        true
    } else {
        false
    }
});

assert_eq!(urgent.as_deref(), Some("deploy fix"));
assert_eq!(tasks, vec!["buy milk"]);

A practical use: draining from the back

pop_if is handy for processing a sorted vec from the tail. Think of a priority queue backed by a sorted vec where you only want to process items above a threshold:

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let mut scores = vec![10, 25, 50, 75, 90];

let mut high_scores = Vec::new();
while let Some(score) = scores.pop_if(|s| *s >= 70) {
    high_scores.push(score);
}

assert_eq!(high_scores, vec![90, 75]);
assert_eq!(scores, vec![10, 25, 50]);

Clean, expressive, and no off-by-one errors. Another small addition to Vec that makes everyday Rust just a bit nicer.

46. Let Chains — Flatten Nested if-let with &&

Deeply nested if let blocks are one of Rust’s most familiar awkward moments. Rust 1.88 (2024 edition) finally fixes it: let chains let you &&-chain multiple let bindings and boolean guards in one if or while.

Before let chains, matching several optional values forced you to nest:

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fn describe(name: Option<&str>, age: Option<u32>) -> String {
    if let Some(n) = name {
        if let Some(a) = age {
            if a >= 18 {
                return format!("{n} is an adult");
            }
        }
    }
    "unknown".to_string()
}

Three levels of indentation just to check two Options and a condition. The actual logic is buried at the bottom.

With let chains, it collapses to a single if:

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fn describe(name: Option<&str>, age: Option<u32>) -> String {
    if let Some(n) = name
        && let Some(a) = age
        && a >= 18
    {
        format!("{n} is an adult")
    } else {
        "unknown".to_string()
    }
}

Bindings introduced in earlier lets are in scope for all subsequent conditions — n is available when checking a, and both are available in the body.

The same syntax works in while loops. This example processes tokens until it hits one it can’t parse:

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let mut tokens = vec!["42", "17", "bad", "99"];
tokens.reverse(); // process front-to-back

while let Some(token) = tokens.pop()
    && let Ok(n) = token.parse::<i32>()
{
    println!("{n}");
}
// prints: 42, 17  — stops at "bad"

Short-circuit semantics apply: if any condition in the chain fails, Rust skips the rest and takes the else branch (or ends the while loop).

To enable let chains, set edition = "2024" in your Cargo.toml:

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[package]
edition = "2024"

No unstable flags, no feature gates — it’s stable as of Rust 1.88 and available on the 2024 edition. If you’re still on 2021, this alone is a good reason to upgrade.

45. get_disjoint_mut — Multiple Mutable References at Once

The borrow checker won’t let you hold two &mut refs into the same collection — even when you know they don’t overlap. get_disjoint_mut fixes that without unsafe.

The problem

You want to update two elements of the same Vec together, but the compiler won’t allow two mutable borrows at once:

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let mut scores = vec![10u32, 20, 30, 40];
let a = &mut scores[0];
let b = &mut scores[2]; // ❌ cannot borrow `scores` as mutable more than once
*a += *b;

The borrow checker doesn’t know indices 0 and 2 are different slots — it just sees two &mut to the same Vec. The classic escape hatches (split_at_mut, unsafe, RefCell) all feel like workarounds for something that should just work.

get_disjoint_mut to the rescue

Stabilized in Rust 1.86, get_disjoint_mut accepts an array of indices and returns multiple mutable references — verified at runtime to be non-overlapping:

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let mut scores = vec![10u32, 20, 30, 40];

if let Ok([a, b]) = scores.get_disjoint_mut([0, 2]) {
    *a += *b; // 10 + 30 = 40
}

assert_eq!(scores, [40, 20, 30, 40]); // ✅

The Result is Err only if an index is out of bounds or indices overlap. Duplicate indices are caught at runtime and return Err — no silent aliasing bugs.

Works on HashMap as well

HashMap gets the same treatment. The return type is [Option<&mut V>; N] — one Option per key, since keys can be missing:

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use std::collections::HashMap;

let mut accounts: HashMap<&str, u32> = HashMap::from([
    ("alice", 100),
    ("bob", 200),
]);

// Transfer 50 from bob to alice
let [alice, bob] = accounts.get_disjoint_mut(["alice", "bob"]);
if let (Some(a), Some(b)) = (alice, bob) {
    *a += 50;
    *b -= 50;
}

assert_eq!(accounts["alice"], 150);
assert_eq!(accounts["bob"], 150); // ✅

Passing duplicate keys to the HashMap version panics — the right tradeoff for a bug that would otherwise silently produce undefined behavior.

When to reach for it

  • Swapping or combining two elements in a Vec without split_at_mut gymnastics
  • Updating multiple HashMap entries in one pass
  • Any place you’d have used unsafe or RefCell just to hold two &mut into the same container

If your indices or keys are known not to overlap, get_disjoint_mut is the clean, safe answer.

#044 Mar 2026

44. split_once — Split a String Exactly Once

When you need to split a string on the first occurrence of a delimiter, split_once is cleaner than anything you’d write by hand. Stable since Rust 1.52.

Parsing key=value pairs, HTTP headers, file paths — almost everywhere you split a string, you only care about the first separator. Before split_once, you’d reach for .find() plus index arithmetic:

The old way

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let s = "Content-Type: application/json; charset=utf-8";

let colon = s.find(':').unwrap();
let header = &s[..colon];
let value = s[colon + 1..].trim();

assert_eq!(header, "Content-Type");
assert_eq!(value, "application/json; charset=utf-8");

Works, but it’s four lines of noise. The index arithmetic is easy to get wrong, and .trim() is a separate step.

With split_once

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let s = "Content-Type: application/json; charset=utf-8";

let (header, value) = s.split_once(": ").unwrap();

assert_eq!(header, "Content-Type");
assert_eq!(value, "application/json; charset=utf-8");

One line. The delimiter is consumed, both sides are returned, and you pattern-match directly into named bindings.

Handling missing delimiters

split_once returns Option<(&str, &str)>None if the delimiter isn’t found. This makes it composable with ? or if let:

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fn parse_env_var(s: &str) -> Option<(&str, &str)> {
    s.split_once('=')
}

assert_eq!(parse_env_var("HOME=/root"), Some(("HOME", "/root")));
assert_eq!(parse_env_var("NOVALUE"), None);
assert_eq!(parse_env_var("KEY=a=b=c"), Some(("KEY", "a=b=c")));

Note the last case: split_once stops at the first =. The rest of the string — a=b=c — is kept intact in the second half. That’s usually exactly what you want.

rsplit_once — split from the right

When you need the last delimiter instead of the first, rsplit_once has you covered:

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let path = "/home/martin/projects/rustbites/content/posts/bite-044.md";

let (dir, filename) = path.rsplit_once('/').unwrap();

assert_eq!(dir, "/home/martin/projects/rustbites/content/posts");
assert_eq!(filename, "bite-044.md");

Multi-char delimiters work too

The delimiter can be any pattern — a char, a &str, or even a closure:

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let record = "alice::42::engineer";

let (name, rest) = record.split_once("::").unwrap();
let (age_str, role) = rest.split_once("::").unwrap();

assert_eq!(name, "alice");
assert_eq!(age_str, "42");
assert_eq!(role, "engineer");

Whenever you reach for .splitn(2, ...) just to grab two halves, replace it with split_once — the intent is clearer and the return type is more ergonomic.

43. Vec::extract_if — Remove Elements and Keep Them

Ever needed to split a Vec into two groups — the ones you keep and the ones you remove? retain discards the removed items. Now there’s a better way.

Vec::extract_if (stable since Rust 1.87) removes elements matching a predicate and hands them back as an iterator — in a single pass.

The old way — two passes, logic must stay in sync

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let mut numbers = vec![1, 2, 3, 4, 5, 6];

// Collect the evens first…
let evens: Vec<i32> = numbers.iter().filter(|&&x| x % 2 == 0).copied().collect();
// …then remove them (predicate must match exactly)
numbers.retain(|&x| x % 2 != 0);

assert_eq!(numbers, [1, 3, 5]);
assert_eq!(evens,   [2, 4, 6]);

The filter and the retain predicates must be inverses of each other — easy to mistype, and you touch the data twice.

The new way — one pass, one predicate

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let mut numbers = vec![1, 2, 3, 4, 5, 6];

let evens: Vec<i32> = numbers.extract_if(.., |&mut x| x % 2 == 0).collect();

assert_eq!(numbers, [1, 3, 5]);
assert_eq!(evens,   [2, 4, 6]);

extract_if walks the Vec, removes every element where the closure returns true, and yields it. The .. is a range — you can narrow it to only consider a slice of the vector.

Real-world example: draining a work queue

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#[derive(Debug)]
struct Job { id: u32, priority: u8 }

let mut queue = vec![
    Job { id: 1, priority: 3 },
    Job { id: 2, priority: 9 },
    Job { id: 3, priority: 1 },
    Job { id: 4, priority: 8 },
];

// Pull out all high-priority jobs for immediate processing
let urgent: Vec<Job> = queue.extract_if(.., |j| j.priority >= 8).collect();

assert_eq!(urgent.len(), 2);  // jobs 2 and 4
assert_eq!(queue.len(),  2);  // jobs 1 and 3 remain

HashMap and HashSet also gained extract_if in Rust 1.88.

Note: The closure takes &mut T, so you can even mutate elements mid-extraction before deciding whether to remove them.

#042 Mar 2026

42. array::from_fn — Build Arrays from a Function

Need a fixed-size array where each element depends on its index? Skip the vec![..].try_into().unwrap() dance — std::array::from_fn builds it in place with zero allocation.

The problem

Rust arrays [T; N] have a fixed size known at compile time, but initializing them with computed values used to be awkward:

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// Clunky: build a Vec, then convert
let squares: [u64; 5] = (0..5)
    .map(|i| i * i)
    .collect::<Vec<_>>()
    .try_into()
    .unwrap();

That allocates a Vec on the heap just to get a stack array. For Copy types you could use [0u64; 5] and a loop, but that doesn’t work for non-Copy types and is verbose either way.

The fix: array::from_fn

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let squares: [u64; 5] = std::array::from_fn(|i| (i as u64) * (i as u64));
assert_eq!(squares, [0, 1, 4, 9, 16]);

The closure receives the index (0..N) and returns the element. No heap allocation, no unwrapping — just a clean array on the stack.

Non-Copy types? No problem

from_fn shines when your elements don’t implement Copy:

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let labels: [String; 4] = std::array::from_fn(|i| format!("item_{i}"));
assert_eq!(labels[0], "item_0");
assert_eq!(labels[3], "item_3");

Try doing that with [String::new(); 4] — the compiler won’t let you because String isn’t Copy.

Stateful initialization

The closure can capture mutable state. Elements are produced left to right, index 0 first:

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let mut acc = 1u64;
let powers_of_two: [u64; 6] = std::array::from_fn(|_| {
    let val = acc;
    acc *= 2;
    val
});
assert_eq!(powers_of_two, [1, 2, 4, 8, 16, 32]);

A practical example: lookup tables

Build a compile-time-friendly lookup table for ASCII case conversion offsets:

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let is_upper: [bool; 128] = std::array::from_fn(|i| {
    (i as u8).is_ascii_uppercase()
});
assert!(is_upper[b'A' as usize]);
assert!(!is_upper[b'a' as usize]);
assert!(!is_upper[b'0' as usize]);

Why it matters

std::array::from_fn has been stable since Rust 1.63. It avoids heap allocation, works with any type (no Copy or Default bound), and keeps your code readable. Anytime you reach for Vec just to build a fixed-size array — stop, and use from_fn instead.

#041 Mar 2026

41. Async Closures — Pass Async Code Like Any Other Closure

Accepting an async callback used to mean a tangle of Fn(T) -> Fut where Fut: Future. Rust 1.85 stabilizes async closures — write async |x| { ... } and accept them with impl async Fn(T) -> U.

The old workaround

Before Rust 1.85, accepting an async function as a parameter meant spelling out the future type explicitly:

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async fn run<F, Fut>(f: F, x: i32) -> i32
where
    F: Fn(i32) -> Fut,
    Fut: std::future::Future<Output = i32>,
{
    f(x).await
}

It compiles, but the signature is noisy. It gets worse once you need FnMut, higher-ranked lifetimes, or closures that borrow from their captures.

The new way

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async fn run(f: impl AsyncFn(i32) -> i32, x: i32) -> i32 {
    f(x).await
}

let double = async |x: i32| x * 2;
let result = run(double, 21).await;
assert_eq!(result, 42);

async |...| { ... } is the syntax for an async closure. Use AsyncFn(T) -> U bounds at call sites — AsyncFn, AsyncFnMut, and AsyncFnOnce mirror the regular Fn family and were stabilized alongside async closures in Rust 1.85.

Capturing state works naturally

Async closures capture their environment exactly like regular closures:

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let base = 10_i32;
let adder = async |x: i32| base + x;

assert_eq!(adder(32).await, 42);

No extra boxing or lifetime gymnastics — the closure borrows base just as a sync closure would.

Apply it twice

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async fn apply_twice(f: impl AsyncFn(i32) -> i32, x: i32) -> i32 {
    f(f(x).await).await
}

let double = async |x: i32| x * 2;
assert_eq!(apply_twice(double, 5).await, 20); // 5 → 10 → 20

Why it matters

The real payoff is in generic async APIs — retry helpers, middleware, event hooks — anywhere you’d pass a callback. Instead of Pin<Box<dyn Future>> boilerplate you get a clean bound:

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async fn retry(op: impl AsyncFn() -> Result<i32, String>, tries: u32) -> Option<i32> {
    for _ in 0..tries {
        if let Ok(val) = op().await {
            return Some(val);
        }
    }
    None
}

Async closures are available in Rust 1.85+ (stable since February 2025). Make sure your crate uses edition = "2021" or later.

40. Scoped Threads — Borrow Across Threads Without Arc

Need to share stack data with spawned threads? std::thread::scope lets you borrow local variables across threads — no Arc, no .clone().

The problem

With std::thread::spawn, you can’t borrow local data because the thread might outlive the data:

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let data = vec![1, 2, 3];

// This won't compile — `data` might be dropped
// while the thread is still running
// std::thread::spawn(|| {
//     println!("{:?}", data);
// });

The classic workaround is wrapping everything in Arc:

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use std::sync::Arc;

let data = Arc::new(vec![1, 2, 3]);
let data_clone = Arc::clone(&data);

let handle = std::thread::spawn(move || {
    println!("{:?}", data_clone);
});
handle.join().unwrap();

It works, but it’s noisy — especially when you just want to read some data in parallel.

The fix: std::thread::scope

Scoped threads guarantee that all spawned threads finish before the scope exits, so borrowing is safe:

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let data = vec![1, 2, 3];
let mut results = vec![];

std::thread::scope(|s| {
    s.spawn(|| {
        // Borrowing `data` directly — no Arc needed
        println!("Thread sees: {:?}", data);
    });

    s.spawn(|| {
        let sum: i32 = data.iter().sum();
        println!("Sum: {sum}");
    });
});

// All threads have joined here — guaranteed
println!("Done! data is still ours: {:?}", data);

Mutable access works too

Since the scope enforces proper lifetimes, you can even have one thread mutably borrow something:

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let mut counts = [0u32; 3];

std::thread::scope(|s| {
    for (i, count) in counts.iter_mut().enumerate() {
        s.spawn(move || {
            *count = (i as u32 + 1) * 10;
        });
    }
});

assert_eq!(counts, [10, 20, 30]);

Each thread gets exclusive access to its own element — the borrow checker is happy, no Mutex required.

When to reach for scoped threads

Use std::thread::scope when you need parallel work on local data and don’t want the overhead or ceremony of Arc/Mutex. It’s perfect for fork-join parallelism: spin up threads, borrow what you need, collect results when they’re done.

39. Trait Upcasting — Cast dyn Trait to dyn Supertrait

Since Rust 1.86, you can upcast a trait object to its supertrait — no workarounds needed.

The problem

Imagine you have a trait hierarchy:

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use std::any::Any;

trait Animal: Any {
    fn name(&self) -> &str;
}

Before Rust 1.86, if you had a &dyn Animal, you couldn’t simply cast it to &dyn Any. You’d have to add an explicit method to your trait:

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// The old workaround — adding a method just to upcast
trait Animal: Any {
    fn name(&self) -> &str;
    fn as_any(&self) -> &dyn Any;
}

This was boilerplate that every trait hierarchy had to carry around.

The fix: trait upcasting

Now you can coerce a trait object directly to any of its supertraits:

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use std::any::Any;

trait Animal: Any {
    fn name(&self) -> &str;
}

struct Dog;

impl Animal for Dog {
    fn name(&self) -> &str {
        "Rex"
    }
}

fn print_if_dog(animal: &dyn Animal) {
    // Upcast to &dyn Any — just works!
    let any: &dyn Any = animal;

    if let Some(dog) = any.downcast_ref::<Dog>() {
        println!("Good boy, {}!", dog.name());
    } else {
        println!("Not a dog.");
    }
}

fn main() {
    let dog = Dog;
    print_if_dog(&dog);
}

The key line is let any: &dyn Any = animal; — this coercion from &dyn Animal to &dyn Any used to be a compiler error and now just works.

It works with any supertrait chain

Upcasting isn’t limited to Any. It works for any supertrait relationship:

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trait Drawable {
    fn draw(&self);
}

trait Widget: Drawable {
    fn click(&self);
}

fn draw_it(widget: &dyn Widget) {
    // Coerce &dyn Widget → &dyn Drawable
    let drawable: &dyn Drawable = widget;
    drawable.draw();
}

This makes trait object hierarchies much more ergonomic. No more as_drawable() helper methods cluttering your traits.

38. #[must_use] — Never Ignore What Matters

Rust’s #[must_use] attribute turns silent bugs into compile-time warnings — making sure important return values never get accidentally ignored.

The Problem: Silently Ignoring Results

Here’s a classic bug that can haunt any codebase:

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fn remove_expired_tokens(tokens: &mut Vec<String>) -> usize {
    let before = tokens.len();
    tokens.retain(|t| !t.starts_with("exp_"));
    before - tokens.len()
}

fn main() {
    let mut tokens = vec![
        "exp_abc".to_string(),
        "valid_xyz".to_string(),
        "exp_def".to_string(),
    ];

    // Bug: we call the function but ignore the count!
    remove_expired_tokens(&mut tokens);

    // No warning, no error — the return value just vanishes
}

The function works fine, but the caller threw away useful information without even a whisper from the compiler.

The Fix: #[must_use]

Add #[must_use] to the function and the compiler has your back:

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#[must_use = "returns the number of removed tokens"]
fn remove_expired_tokens(tokens: &mut Vec<String>) -> usize {
    let before = tokens.len();
    tokens.retain(|t| !t.starts_with("exp_"));
    before - tokens.len()
}

Now if someone calls remove_expired_tokens(&mut tokens); without using the result, the compiler emits:

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warning: unused return value of `remove_expired_tokens` that must be used
  --> src/main.rs:14:5
   |
   = note: returns the number of removed tokens

Works on Types Too

#[must_use] isn’t just for functions — it shines on types:

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#[must_use = "this Result may contain an error that should be handled"]
enum DatabaseResult<T> {
    Ok(T),
    Err(String),
}

This is exactly why calling .map() on an iterator without collecting produces a warning — Map is marked #[must_use] in std.

Already in the Standard Library

Rust’s standard library uses #[must_use] extensively. Result, Option, MutexGuard, and many iterator adapters are all marked with it. That’s why you get a warning for:

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vec![1, 2, 3].iter().map(|x| x * 2);  // warning: unused `Map`

The iterator does nothing until consumed — and #[must_use] makes sure you don’t forget.

Quick Rules

Use #[must_use] when:

  • A function returns a Result or error indicator — callers should handle failures
  • A function is pure (no side effects) — ignoring the return means the call was pointless
  • A type is lazy (like iterators) — it does nothing until consumed
  • The return value carries critical information the caller likely needs

The custom message string is optional but highly recommended — it tells the developer why they shouldn’t ignore the value.

37. Option::zip

Need to combine two Option values into a pair? Option::zip merges them into a single Option<(A, B)> — if either is None, you get None back.

The problem

You have two optional values and need both to proceed. The classic approach uses nested matching:

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let name: Option<&str> = Some("Alice");
let age: Option<u32> = Some(30);

// Nested match — gets unwieldy fast
let greeting = match name {
    Some(n) => match age {
        Some(a) => Some(format!("{n} is {a} years old")),
        None => None,
    },
    None => None,
};

assert_eq!(greeting, Some("Alice is 30 years old".to_string()));

The fix: Option::zip

Zip collapses two Options into one tuple:

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let name: Option<&str> = Some("Alice");
let age: Option<u32> = Some(30);

let greeting = name.zip(age).map(|(n, a)| format!("{n} is {a} years old"));

assert_eq!(greeting, Some("Alice is 30 years old".to_string()));

One line instead of six. If either value is None, zip short-circuits to None:

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let name: Option<&str> = Some("Alice");
let age: Option<u32> = None;

assert_eq!(name.zip(age), None);

Bonus: zip with and_then

You can chain zip into more complex pipelines:

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fn lookup_user(id: u32) -> Option<String> {
    if id == 1 { Some("Alice".to_string()) } else { None }
}

fn lookup_role(id: u32) -> Option<String> {
    if id == 1 { Some("Admin".to_string()) } else { None }
}

let result = lookup_user(1)
    .zip(lookup_role(1))
    .map(|(user, role)| format!("{user} ({role})"));

assert_eq!(result, Some("Alice (Admin)".to_string()));

Option::zip is stable since Rust 1.46 and works anywhere you need both-or-nothing semantics without the nesting.

36. Cow<str> — Clone on Write

Stop cloning strings “just in case” — Cow<str> lets you borrow when you can and clone only when you must.

The problem

You’re writing a function that sometimes needs to modify a string and sometimes doesn’t. The easy fix? Clone every time:

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fn ensure_greeting(name: &str) -> String {
    if name.starts_with("Hello") {
        name.to_string() // unnecessary clone!
    } else {
        format!("Hello, {name}!")
    }
}

This works, but that first branch allocates a brand-new String even though name is already perfect as-is. In a hot loop, those wasted allocations add up.

Enter Cow<str>

Cow stands for Clone on Write. It holds either a borrowed reference or an owned value, and only clones when you actually need to mutate or take ownership:

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use std::borrow::Cow;

fn ensure_greeting(name: &str) -> Cow<str> {
    if name.starts_with("Hello") {
        Cow::Borrowed(name) // zero-cost: just wraps the reference
    } else {
        Cow::Owned(format!("Hello, {name}!"))
    }
}

Now the happy path (name already starts with “Hello”) does zero allocation. The caller gets a Cow<str> that derefs to &str transparently — most code won’t even notice the difference.

Using Cow values

Because Cow<str> implements Deref<Target = str>, you can use it anywhere a &str is expected:

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use std::borrow::Cow;

fn ensure_greeting(name: &str) -> Cow<str> {
    if name.starts_with("Hello") {
        Cow::Borrowed(name)
    } else {
        Cow::Owned(format!("Hello, {name}!"))
    }
}

fn main() {
    let greeting = ensure_greeting("Hello, world!");
    assert_eq!(&*greeting, "Hello, world!");

    // Call &str methods directly on Cow
    assert!(greeting.contains("world"));

    // Only clone into String when you truly need ownership
    let _owned: String = greeting.into_owned();

    let greeting2 = ensure_greeting("Rust");
    assert_eq!(&*greeting2, "Hello, Rust!");
}

When to reach for Cow

Cow shines in these situations:

  • Conditional transformations — functions that modify input only sometimes (normalization, trimming, escaping)
  • Config/lookup values — return a static default or a dynamically built string
  • Parser outputs — most tokens are slices of the input, but some need unescaping

The Cow type works with any ToOwned pair, not just strings. You can use Cow<[u8]>, Cow<Path>, or Cow<[T]> the same way.

Quick reference

OperationCost
Cow::Borrowed(s)Free — wraps a reference
Cow::Owned(s)Whatever creating the owned value costs
*cow (deref)Free
cow.into_owned()Free if already owned, clones if borrowed
cow.to_mut()Clones if borrowed, then gives &mut access

35. LazyLock

Still pulling in lazy_static or once_cell just for a lazy global? std::sync::LazyLock does the same thing — zero dependencies.

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use std::sync::LazyLock;

static CONFIG: LazyLock<Vec<String>> = LazyLock::new(|| {
    // Imagine this reads from a file or env
    vec!["debug".to_string(), "verbose".to_string()]
});

fn main() {
    // CONFIG is initialized on first access
    println!("flags: {:?}", *CONFIG);
    assert_eq!(CONFIG.len(), 2);
}

LazyLock was stabilized in Rust 1.80 as the std replacement for once_cell::sync::Lazy and lazy_static!. It initializes the value exactly once on first access, is Sync by default, and works in static items without macros.

For single-threaded or non-static use, there’s also LazyCell — same idea but without the synchronization overhead:

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use std::cell::LazyCell;

fn main() {
    let greeting = LazyCell::new(|| {
        println!("computing...");
        "Hello, Rust!".to_uppercase()
    });

    println!("before access");
    // "computing..." prints here, on first deref
    assert_eq!(*greeting, "HELLO, RUST!");
    // second access — no recomputation
    assert_eq!(*greeting, "HELLO, RUST!");
}

The output is:

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before access
computing...

The closure runs lazily on first Deref, and the result is cached for all subsequent accesses. No unwrap(), no Mutex, no external crates — just clean lazy initialization from std.

34. array_windows

Need to look at consecutive pairs (or triples) in a slice? Stop manually indexing — array_windows gives you fixed-size windows as arrays, not slices.

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let temps = [18.0, 21.5, 19.0, 23.0, 22.5];

// Before: manual indexing 😬
for i in 0..temps.len() - 1 {
    let diff = temps[i + 1] - temps[i];
    println!({diff:+.1}");
}

// After: array_windows ✨
for [prev, next] in temps.array_windows() {
    let diff = next - prev;
    println!({diff:+.1}");
}

Stabilized in Rust 1.94, array_windows works like .windows(n) but the window size is a const generic — so you get &[T; N] instead of &[T]. That means you can destructure directly in the pattern.

It’s great for detecting trends, computing deltas, or validating sequences:

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let readings = [3, 7, 2, 9, 1, 8];

let all_increasing = readings
    .array_windows()
    .all(|[a, b]| b > a);

assert!(!all_increasing);

// Works with triples too
let has_valley = readings
    .array_windows()
    .any(|[a, b, c]| b < a && b < c);

assert!(has_valley); // 2 is a valley between 7 and 9

No bounds checks, no .try_into().unwrap() dance. Just clean pattern matching on fixed-size windows.

#033 Mar 2026

33. std::mem::take

Ever tried to move a value out of a &mut reference? The borrow checker won’t let you — but std::mem::take will. It swaps the value out and leaves Default::default() in its place.

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use std::mem;

let mut name = String::from("Ferris");
let taken = mem::take(&mut name);

assert_eq!(taken, "Ferris");
assert_eq!(name, ""); // left with String::default()

This is especially useful when working with enum state machines where you need to consume the current state:

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use std::mem;

enum State {
    Running(String),
    Stopped,
}

impl Default for State {
    fn default() -> Self { State::Stopped }
}

fn reset(state: &mut State) -> Option<String> {
    match mem::take(state) {
        State::Running(data) => Some(data),
        State::Stopped => None,
    }
}

Without mem::take, you’d need .clone() or unsafe gymnastics to get the value out. See also mem::replace for when you want to specify what to leave behind instead of using Default.

#032 Mar 2026

32. iter::successors

Need to generate a sequence where each element depends on the previous one? std::iter::successors turns any “next from previous” logic into a lazy iterator.

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use std::iter::successors;

// Powers of 10 that fit in a u32
let powers: Vec<u32> = successors(Some(1u32), |&n| n.checked_mul(10))
    .collect();

// [1, 10, 100, 1_000, 10_000, 100_000, 1_000_000, 10_000_000, 100_000_000, 1_000_000_000]
assert_eq!(powers.len(), 10);

You give it a starting value and a closure that computes the next element from a reference to the current one. Return None to stop — here checked_mul naturally returns None on overflow, so the iterator terminates on its own.

It works great for any recurrence:

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use std::iter::successors;

// Collatz sequence starting from 12
let collatz: Vec<u64> = successors(Some(12u64), |&n| match n {
    1 => None,
    n if n % 2 == 0 => Some(n / 2),
    n => Some(3 * n + 1),
}).collect();

assert_eq!(collatz, vec![12, 6, 3, 10, 5, 16, 8, 4, 2, 1]);

Think of it as unfold for when your state is the yielded value. Simple, lazy, and zero-allocation until you collect.

31. HashMap's entry API

Want to insert a value into a HashMap only if the key doesn’t exist yet? Skip the double lookup — use the entry API.

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use std::collections::HashMap;

let mut scores: HashMap<&str, Vec<u32>> = HashMap::new();

// Instead of checking .contains_key() then inserting:
scores.entry("alice")
    .or_insert_with(Vec::new)
    .push(100);

scores.entry("alice")
    .or_insert_with(Vec::new)
    .push(200);

assert_eq!(scores["alice"], vec![100, 200]);

The entry API returns an Entry enum — either Occupied or Vacant. The convenience methods make common patterns a one-liner:

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use std::collections::HashMap;

let mut word_count: HashMap<&str, usize> = HashMap::new();
let words = ["hello", "world", "hello", "rust", "hello"];

for word in words {
    *word_count.entry(word).or_insert(0) += 1;
}

// hello => 3, world => 1, rust => 1

or_insert(val) inserts a default, or_insert_with(|| val) lazily computes it, and or_default() uses the type’s Default. All three return a mutable reference to the value, so you can update in place.

#030 Mar 2026

30. dbg! macro

Still using println! for quick debugging? Try dbg! instead — it prints the expression, its value, and the file/line number to stderr. And it returns the value, so you can wrap it around anything.

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let a = 2;
let b = dbg!(a * 2) + 1; // prints: [src/main.rs:3] a * 2 = 4
assert_eq!(b, 5);

// works with multiple values too
dbg!(a, b, a + b); // prints each as a tuple

Unlike println!, dbg! takes ownership (or copies for Copy types). If you need to keep the value, pass a reference:

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let name = String::from("Ferris");
dbg!(&name); // borrows, doesn't move
println!("{name}"); // still works!

Bonus: dbg! works the same in release builds, and outputs to stderr so it won’t pollute your stdout.

29. Let chains

Tired of deeply nested if let blocks? Rust 2024 edition brings let chains — chain multiple let patterns with && in a single if expression.

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// Before: nested and hard to read
if let Some(a) = opt_a {
    if let Some(b) = opt_b {
        if a > 0 {
            println!("{a} + {b} = {}", a + b);
        }
    }
}

With let chains, flatten the whole thing:

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if let Some(a) = opt_a
    && let Some(b) = opt_b
    && a > 0
{
    println!("{a} + {b} = {}", a + b);
}

Works with while too!

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let mut iter = vec![Some(1), Some(2), None, Some(4)].into_iter();

while let Some(inner) = iter.next()
    && let Some(val) = inner
{
    println!("got: {val}");
}
// prints: got: 1, got: 2
// stops at None — the inner let fails

You can mix boolean expressions and let bindings freely. Each && can be either a regular condition or a pattern match.

Note: requires edition 2024 (edition = "2024" in Cargo.toml).

#028 Feb 2023

28. Raw string

Curious to know how you can add a double quote in raw strings?

No escape sequences are recognized in raw strings, so adding a backslash does not work.

Use ### to mark the start and the end of a raw string.

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println!("This is a double quote \" ");

// println!(r"This is a double quote " "); // Nope!
// println!(r"This is a double quote \" "); // Nope!

// And this works
println!(r#"This is a double quote " "#);
println!(r###"This is a double quote " "###);
#027 Jan 2023

27. Option's sum/product

Rust’s option implements Sum and Product traits too!

Use it when you want to get None if there is a None element and sum of values otherwise.

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let nums: [Option<u32>;3] = [Some(1), Some(10), None];
let maybe_nums: Option<u32> = nums.into_iter().sum();
assert_eq!(maybe_nums, None);

or sum of the values …

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let nums = [Some(1), Some(10), Some(100)];
let maybe_nums: Option<u32> = nums.into_iter().sum();
assert_eq!(maybe_nums, Some(111));

And product.

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let nums = [Some(1), Some(10), Some(100)];
let maybe_nums: Option<u32> = nums.into_iter().product();
assert_eq!(maybe_nums, Some(1000));
#026 Jan 2023

26. Collecting into Option

Rust’s option implements FromIterator too!

Use it when you want to get None if there is a None element and values otherwise.

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let cars = [Some("Porsche"), Some("Ferrari"), None];
let maybe_cars: Option<Vec<_>> = cars.into_iter().collect();
assert_eq!(maybe_cars, None);

or values …

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let cars = [Some("Porsche"), Some("Ferrari"), Some("Skoda")];
let maybe_cars: Option<Vec<_>> = cars.into_iter().collect();
assert_eq!(maybe_cars, Some(vec!["Porsche", "Ferrari", "Skoda"]));
Jan 2023

Implementing custom iterators

Iterators are a powerful feature in Rust that allow you to define how a collection of items should be processed. They are flexible, efficient, and easy to use. In this blog post, we will look at how to create custom iterators in Rust.

To create a custom iterator in Rust, you need to implement the Iterator trait for your type. This trait requires you to implement the next method, which returns the next item in the iteration. You can also implement the size_hint method to provide information about the size of the iterator, and the fold method to allow the iterator to be folded into a single value.

Here is a simple example of a custom iterator that counts up from a given number:

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struct CountUpFrom {
    start: u32,
}

impl Iterator for CountUpFrom {
    type Item = u32;

    fn next(&mut self) -> Option<Self::Item> {
        if self.start < u32::MAX {
            self.start += 1;
            Some(self.start)
        } else {
            None
        }
    }
}

fn main() {
    let count_up_from = CountUpFrom { start: 10 };
    for i in count_up_from {
        println!("{}", i);
    }
}

This example creates a struct called CountUpFrom with a single field, start, which represents the number to start counting from. The CountUpFrom struct implements the Iterator trait, with u32 as the type of the items being iterated over. The next method increments the start field by one and returns it as an Option wrapped in a Some variant. If the start field has reached the maximum value of a u32, the next method returns None to indicate that the iteration is finished.

In the main function, we create an instance of CountUpFrom and use a for loop to iterate over it. This will print out the numbers 11 through u32::MAX to the console.

Custom iterators are a powerful and flexible tool in Rust, and can be used to create all sorts of interesting and useful iteration patterns. Give them a try in your next Rust project!

#025 Dec 2022

25. Option's iterator

Rust’s option implements an iterator!

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let o: Option<u32> = Some(200u32);
let mut iter = o.into_iter();
let v = iter.next();
assert_eq!(v, Some(200u32));

Why is this useful? see example.

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let include_this_pls = Some(300u32);
let r: Vec<u32> = (0..2).chain(include_this_pls).chain(2..5).collect();
assert_eq!(r, vec![0,1,300,2, 3,4]);
let but_not_this = None;
let r: Vec<u32> = (0..2).chain(but_not_this).chain(2..5).collect();
assert_eq!(r, vec![0,1,2,3,4]);
#024 Dec 2022

24. ..=X

As of 1.66, it is possible to use ..=X in patterns

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let result = 20u32;

match result {
    0..=20 => println!("Included"),
    21.. => println!("Sorry"),
}
#023 Dec 2022

23. Enum's default value

Instead of manually implementing Default trait for an enum, you can derive it and explicitly tell which variant should be the default one.

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#[derive(Default)]
enum Car{
    #[default]
    Porsche,
    Ferrari,
    Skoda
}

let car = Car::default();
#022 Nov 2022

22. Enum's Debug

Use Debug trait to print enum values if needed.

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#[derive(Default,Debug)]
enum Car{
    #[default]
    Porsche,
    Ferrari,
    Skoda
}

let car = Car::default();
println!("{:?}", car);
#021 Oct 2022

21. Zip longest

Sometimes there is a need to zip two iterables of various lengths.

If it is known which one is longer, then use the following approach:

First one must be longer.

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let nums1 = [1, 2, 3, 4];
let nums2 = [10, 20];

for (n1, n2) in nums1
    .into_iter()
    .zip(nums2.into_iter().chain(std::iter::repeat(0i32)))
{
    println!("{n1} - {n2}");
}
// Output:
// 1 - 10
// 2 - 20
// 3 - 0
// 4 - 0
#020 Sep 2022

20. let-else statements

As of 1.65, it is possible to use let statement with a refutable pattern.

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let result: Result<i32, ()> = Ok(20);

let Ok(value) = result else {
  panic!("Heeeelp!!!");
};

assert_eq!(value, 20);
#019 Aug 2022

19. breaking from labeled blocks

As of 1.65, it is possible to label plain block expression and terminate that block early.

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let result = 'block: {
    let result = 20i32;
    if result < 10 {
        break 'block 1;
    }
    if result > 10 {
        break 'block 2;
    }
    3
};
assert_eq!(result, 2);
#018 Jul 2022

18. flatten options

Use flatten to iterate over only Some values if you have a collection of Options.

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let nums = vec![None, Some(2), None, Some(3), None];

let mut iter = nums.into_iter().flatten();

assert_eq!(iter.next(), Some(2));
assert_eq!(iter.next(), Some(3));
#016 Jun 2022

16. Option/Result match?!

Try to avoid matching Option or Result.

Use if let instead.

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let result = Some(111);

// Not nice
match result {
    Some(x) => println!("{x}"),
    None => {}
};

// Better
if let Some(x) = result {
    println!("{x}");
}
#015 Apr 2022

15. Scan

Iterator adapter similar to fold (see previous bite) - holds some internal state and produces new iterator.

Note that Option is yielded from the closure.

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let nums = [1, 2, 3];

let mut iter = nums.iter().scan(0, |acc, &x| {
    *acc = *acc + x;
    Some((*acc, x))
});

assert_eq!(iter.next(), Some((1, 1)));
assert_eq!(iter.next(), Some((3, 2)));
assert_eq!(iter.next(), Some((6, 3)));
#014 Apr 2022

14. Find index of item

Use position to find position of an element in iterator. Returns None if the element does not exist.

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let nums = [1, 2, 3];

let pos = nums.iter().position(|value| *value == 3);
assert_eq!(pos, Some(2));
let pos = nums.iter().position(|value| *value == 10);
assert_eq!(pos, None);
#017 Mar 2022

17. filter_map

Similar to map but if allows to drop an item.

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let text_nums = ["1", "two", "three", "4"];

let nums: Vec<_> = text_nums
    .iter()
    .filter_map(|x| x.parse::<u32>().ok())
    .collect();

assert_eq!(nums, vec![1, 4]);
#013 Mar 2022

13. Fold

Iterator consumer. Allows the accumulated value to be arbitrary type. Note the different types.

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let nums: Vec<u8> = vec![1, 2, 3, 4];
let sum = nums.iter().fold(0u32, |acc, x| acc + *x as u32);
assert_eq!(sum, 10);
#012 Mar 2022

12. Enumerate

Use enumerate to convert iterator over (usize,item) pairs.

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let cars = vec!["Skoda", "Ferrari", "Ford"];

for (idx, car) in cars.iter().enumerate() {
    println!("{idx} - {car}");
}

// Output
// 0 - Skoda
// 1 - Ferrari
// 2 - Ford

Useful when index of item is needed.

#011 Mar 2022

11. Fuse

Fuse is an iterator that yields None forever after the underlying iterator yields None once. USage:

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let values = [1,2,3,4];
let iter = values.iter().fuse();

Why is it useful? see example in this bite.

Sometimes an underlying iterator may or may yield Some(T) again after None was returned.

fuse ensures that after a None is returned for the first time, it always returns None.

Example from the rust documentation:

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struct Alternate {
    state: i32,
}

impl Iterator for Alternate {
    type Item = i32;

    fn next(&mut self) -> Option<i32> {
        let val = self.state;
        self.state = self.state + 1;

        if val % 2 == 0 {
            Some(val)
        } else {
            None
        }
    }
}

let mut iter = Alternate { state: 0 };

assert_eq!(iter.next(), Some(0));
assert_eq!(iter.next(), None);
assert_eq!(iter.next(), Some(2));
assert_eq!(iter.next(), None);

let mut iter = iter.fuse();

assert_eq!(iter.next(), Some(4));
assert_eq!(iter.next(), None);

assert_eq!(iter.next(), None);
assert_eq!(iter.next(), None);
assert_eq!(iter.next(), None);
#010 Feb 2022

10. cloned vs copied

Rust provides built-in methods to copy or clone elements when using an iterator.

Eg.

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let nums: Vec<u32> = nums1.iter().chain(&nums2).copied().collect();

What’s the difference? and when is it useful?

You may have done something like this:

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let nums: Vec<u32> = nums1.iter().chain(&nums2).map(|x| *x).collect();

but instead, use copied.

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let nums: Vec<u32> = nums1.iter().chain(&nums2).copied().collect();

Example:

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let nums = vec![1,2,3,4];
let nums2 = vec![5,6,7,8];

// doiing it manually by copying
// let all_nums: Vec<u32> = nums.iter().chain(&nums2).map(|x| *x).collect();

// doiing it manually by cloneing
// let all_nums: Vec<u32> = nums.iter().chain(&nums2).map(|x| x.clone()).collect();

// but why not just use provided functionality ??!
let all_nums: Vec<u32> = nums.iter().chain(&nums2).copied().collect();

// or cloned if copy it is not an option
//let all_nums: Vec<u32> = nums.iter().chain(&nums2).cloned().collect();

 assert_eq!(all_nums, vec![1,2,3,4,5,6,7,8]);

Difference between cloned and copied?

Same reasoning aplies as for Copy and Clone traits. Use copied to avoid to accidentally cloing iterator elements. Use copied when possible.

#009 Feb 2022

9. Inspecting iterator

Ever wondered how to print while iterating?

Use inspect.

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let cars = vec!["Skoda", "Ferrari", "Ford"];

let car_lenghts: Vec<u32> = cars
    .iter()
    .enumerate()
    .inspect(|(idx, s)| println!("{idx} - {s}"))
    .map(|(_, name)| name.len() as u32)
    .collect();

assert!( car_lenghts == vec![5,7,4
#008 Feb 2022

8. Drain

Use drain to remove specified range from a vector.

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let mut a = vec![1,2,3,4,5];

let _ = a.drain(0..3);

assert!(a == vec![4,5]);

What is the difference to call into_iter which returns T ?

into_iter takes the collection by value and consumes it.

drain borrows mutable reference, and returns a drain iterator of elements. If such iterator is dropped without exhausting it, all elements are dropped.

#007 Feb 2022

7. iter() vs into_iter()

What is the difference between .iter() and .into_iter()?

iter yields &T

into_iter may yield any of T, &T or &mut T based on context.

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let cars = vec!["Skoda", "Ferrari", "Ford"];

for car in cars.iter() {
    println!("{car}");
}

for car in cars.into_iter() {
    println!("{car}");
}

this works but …

This does not. This results in compile error because cars are moved due to into_iter call.

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let cars = vec!["Skoda", "Ferrari", "Ford"];

for car in cars.into_iter() {
  println!("{car}");
}

for car in cars.iter() {
    println!("{car}");
}
#006 Jan 2022

6. non-exhaustive enums

Use non-exhaustive attribute to indicate that enum may have more variants in future.

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#[non_exhaustive]
enum Event{
  Error,
  Completed(String)
}

If such enum is used in match pattern, it is required to handle ’_’ pattern.

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let event = Event::Error;
match event {
    Event::Error => {
        println!("error")
    }
    Event::Completed(s) => {
        println!("completed {}", s)
    }
    _ => {
        println!("unknown")
    }
}

How is this useful?

If you are a maintainer of a library and you’d expect to add more variants in the future.

This approach helps you to build a library with non-breaking code changes for library users.

#005 Jan 2022

5. Loop breaks and labels

Breaks and labels in loops?

IT is possible to use a label to specify which enclosing loop is affected.

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let s = 'outer: loop {
      for idx in 0..10 {
          if idx == 4 {
              break 'outer idx;
          }
      }
  };
assert!(s == 4);
#004 Jan 2022

4. Option -> Result

Convert Option to Result easily.

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let o: Option<u32> = Some(200u32);
let r: Result<u32,()> = o.ok_or(());
assert_eq!(r, Ok(200u32));
#003 Jan 2022

3. Result -> Option

Convert Result to Option easily.

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let r: Result<u32,()> = Ok(200u32);
let o: Option<u32> = r.ok();
assert_eq!(o, Some(200u32));
#002 Jan 2022

2. mysterious @

Use @ to bind a pattern to a name.

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let foo = 4;

match foo {
    x @ 0..=5 => assert_eq!(x,4),
    y @ _ => panic!("{}-too many!", y)
}
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let point: (u32,u32) = (1, 2);

match point {
    (1, y @ _) => assert_eq!(y,2),
    _ => {}
}
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let point: (u32,u32) = (1, 2);
let mypoint @ (x, _) = point;

assert_eq!(x,1);
assert_eq(mypoint,point);
#001 Jan 2022

1. matches!

Need to check if an expression matches certain pattern?

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let foo = vec!['1','2'];
assert!(matches!(foo.len(), 0..=1));

The example above checks if len is 0 or 1.

Or

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let bar = Some(4);

assert!(matches!(bar, Some(x) if x > 2));
#000 Jan 2022

0. Hello, rustbites!

Hello and welcome to rustbites.com

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let hello = "Hello, rustbites!";
println!("{}", hello);

explanation and details