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Rollup merge of #89216 - r00ster91:bigo, r=dtolnay
Consistent big O notation This makes the big O time complexity notation in places with markdown support more consistent. Inspired by #89210
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653dcaac2b
@ -5170,7 +5170,7 @@ Libraries
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- [Upgrade to Unicode 10.0.0][42999]
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- [Reimplemented `{f32, f64}::{min, max}` in Rust instead of using CMath.][42430]
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- [Skip the main thread's manual stack guard on Linux][43072]
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- [Iterator::nth for `ops::{Range, RangeFrom}` is now done in O(1) time][43077]
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- [Iterator::nth for `ops::{Range, RangeFrom}` is now done in *O*(1) time][43077]
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- [`#[repr(align(N))]` attribute max number is now 2^31 - 1.][43097] This was
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previously 2^15.
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- [`{OsStr, Path}::Display` now avoids allocations where possible][42613]
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@ -8473,7 +8473,7 @@ Libraries
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algorithm][s].
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* [`std::io::copy` allows `?Sized` arguments][cc].
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* The `Windows`, `Chunks`, and `ChunksMut` iterators over slices all
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[override `count`, `nth` and `last` with an O(1)
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[override `count`, `nth` and `last` with an *O*(1)
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implementation][it].
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* [`Default` is implemented for arrays up to `[T; 32]`][d].
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* [`IntoRawFd` has been added to the Unix-specific prelude,
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@ -8995,7 +8995,7 @@ Libraries
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* The `Default` implementation for `Arc` [no longer requires `Sync +
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Send`][arc].
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* [The `Iterator` methods `count`, `nth`, and `last` have been
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overridden for slices to have O(1) performance instead of O(n)][si].
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overridden for slices to have *O*(1) performance instead of *O*(*n*)][si].
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* Incorrect handling of paths on Windows has been improved in both the
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compiler and the standard library.
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* [`AtomicPtr` gained a `Default` implementation][ap].
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@ -3,7 +3,7 @@
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//! Also computes as the resulting DAG if each SCC is replaced with a
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//! node in the graph. This uses [Tarjan's algorithm](
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//! https://en.wikipedia.org/wiki/Tarjan%27s_strongly_connected_components_algorithm)
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//! that completes in *O(n)* time.
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//! that completes in *O*(*n*) time.
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use crate::fx::FxHashSet;
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use crate::graph::vec_graph::VecGraph;
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@ -9,7 +9,7 @@ mod index_map;
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pub use index_map::SortedIndexMultiMap;
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/// `SortedMap` is a data structure with similar characteristics as BTreeMap but
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/// slightly different trade-offs: lookup, insertion, and removal are O(log(N))
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/// slightly different trade-offs: lookup, insertion, and removal are *O*(log(*n*))
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/// and elements can be iterated in order cheaply.
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///
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/// `SortedMap` can be faster than a `BTreeMap` for small sizes (<50) since it
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@ -3,7 +3,7 @@
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//! Insertion and popping the largest element have *O*(log(*n*)) time complexity.
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//! Checking the largest element is *O*(1). Converting a vector to a binary heap
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//! can be done in-place, and has *O*(*n*) complexity. A binary heap can also be
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//! converted to a sorted vector in-place, allowing it to be used for an *O*(*n* \* log(*n*))
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//! converted to a sorted vector in-place, allowing it to be used for an *O*(*n* * log(*n*))
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//! in-place heapsort.
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//!
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//! # Examples
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@ -243,9 +243,9 @@ use super::SpecExtend;
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///
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/// # Time complexity
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///
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/// | [push] | [pop] | [peek]/[peek\_mut] |
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/// |--------|-----------|--------------------|
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/// | O(1)~ | *O*(log(*n*)) | *O*(1) |
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/// | [push] | [pop] | [peek]/[peek\_mut] |
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/// |---------|---------------|--------------------|
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/// | *O*(1)~ | *O*(log(*n*)) | *O*(1) |
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///
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/// The value for `push` is an expected cost; the method documentation gives a
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/// more detailed analysis.
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@ -1,8 +1,8 @@
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//! A contiguous growable array type with heap-allocated contents, written
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//! `Vec<T>`.
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//!
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//! Vectors have `O(1)` indexing, amortized `O(1)` push (to the end) and
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//! `O(1)` pop (from the end).
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//! Vectors have *O*(1) indexing, amortized *O*(1) push (to the end) and
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//! *O*(1) pop (from the end).
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//!
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//! Vectors ensure they never allocate more than `isize::MAX` bytes.
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//!
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@ -1270,7 +1270,7 @@ impl<T, A: Allocator> Vec<T, A> {
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///
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/// The removed element is replaced by the last element of the vector.
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///
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/// This does not preserve ordering, but is O(1).
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/// This does not preserve ordering, but is *O*(1).
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///
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/// # Panics
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///
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@ -1795,10 +1795,11 @@ pub trait Iterator {
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/// The relative order of partitioned items is not maintained.
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///
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/// # Current implementation
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///
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/// Current algorithms tries finding the first element for which the predicate evaluates
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/// to false, and the last element for which it evaluates to true and repeatedly swaps them.
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///
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/// Time Complexity: *O*(*N*)
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/// Time complexity: *O*(*n*)
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///
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/// See also [`is_partitioned()`] and [`partition()`].
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///
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@ -97,11 +97,11 @@
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//!
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//! ## Sequences
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//!
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//! | | get(i) | insert(i) | remove(i) | append | split_off(i) |
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//! |----------------|----------------|-----------------|----------------|--------|----------------|
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//! | [`Vec`] | O(1) | O(n-i)* | O(n-i) | O(m)* | O(n-i) |
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//! | [`VecDeque`] | O(1) | O(min(i, n-i))* | O(min(i, n-i)) | O(m)* | O(min(i, n-i)) |
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//! | [`LinkedList`] | O(min(i, n-i)) | O(min(i, n-i)) | O(min(i, n-i)) | O(1) | O(min(i, n-i)) |
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//! | | get(i) | insert(i) | remove(i) | append | split_off(i) |
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//! |----------------|------------------------|-------------------------|------------------------|-----------|------------------------|
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//! | [`Vec`] | *O*(1) | *O*(*n*-*i*)* | *O*(*n*-*i*) | *O*(*m*)* | *O*(*n*-*i*) |
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//! | [`VecDeque`] | *O*(1) | *O*(min(*i*, *n*-*i*))* | *O*(min(*i*, *n*-*i*)) | *O*(*m*)* | *O*(min(*i*, *n*-*i*)) |
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//! | [`LinkedList`] | *O*(min(*i*, *n*-*i*)) | *O*(min(*i*, *n*-*i*)) | *O*(min(*i*, *n*-*i*)) | *O*(1) | *O*(min(*i*, *n*-*i*)) |
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//!
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//! Note that where ties occur, [`Vec`] is generally going to be faster than [`VecDeque`], and
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//! [`VecDeque`] is generally going to be faster than [`LinkedList`].
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@ -110,10 +110,10 @@
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//!
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//! For Sets, all operations have the cost of the equivalent Map operation.
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//!
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//! | | get | insert | remove | range | append |
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//! |--------------|-----------|-----------|-----------|-----------|--------|
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//! | [`HashMap`] | O(1)~ | O(1)~* | O(1)~ | N/A | N/A |
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//! | [`BTreeMap`] | O(log(n)) | O(log(n)) | O(log(n)) | O(log(n)) | O(n+m) |
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//! | | get | insert | remove | range | append |
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//! |--------------|---------------|---------------|---------------|---------------|--------------|
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//! | [`HashMap`] | *O*(1)~ | *O*(1)~* | *O*(1)~ | N/A | N/A |
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//! | [`BTreeMap`] | *O*(log(*n*)) | *O*(log(*n*)) | *O*(log(*n*)) | *O*(log(*n*)) | *O*(*n*+*m*) |
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//!
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//! # Correct and Efficient Usage of Collections
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//!
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//! terminator, so the buffer length is really `len+1` characters.
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//! Rust strings don't have a nul terminator; their length is always
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//! stored and does not need to be calculated. While in Rust
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//! accessing a string's length is a `O(1)` operation (because the
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//! length is stored); in C it is an `O(length)` operation because the
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//! accessing a string's length is an *O*(1) operation (because the
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//! length is stored); in C it is an *O*(*n*) operation because the
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//! length needs to be computed by scanning the string for the nul
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//! terminator.
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//!
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declare_clippy_lint! {
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/// ### What it does
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/// Checks for use of `.iter().nth()` (and the related
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/// `.iter_mut().nth()`) on standard library types with O(1) element access.
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/// `.iter_mut().nth()`) on standard library types with *O*(1) element access.
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///
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/// ### Why is this bad?
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/// `.get()` and `.get_mut()` are more efficient and more
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