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consistent big O notation

This commit is contained in:
r00ster91 2021-09-24 12:44:28 +02:00
parent 197fc8591e
commit 956f87fb04
9 changed files with 26 additions and 25 deletions

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@ -4985,7 +4985,7 @@ Libraries
- [Upgrade to Unicode 10.0.0][42999] - [Upgrade to Unicode 10.0.0][42999]
- [Reimplemented `{f32, f64}::{min, max}` in Rust instead of using CMath.][42430] - [Reimplemented `{f32, f64}::{min, max}` in Rust instead of using CMath.][42430]
- [Skip the main thread's manual stack guard on Linux][43072] - [Skip the main thread's manual stack guard on Linux][43072]
- [Iterator::nth for `ops::{Range, RangeFrom}` is now done in O(1) time][43077] - [Iterator::nth for `ops::{Range, RangeFrom}` is now done in *O*(1) time][43077]
- [`#[repr(align(N))]` attribute max number is now 2^31 - 1.][43097] This was - [`#[repr(align(N))]` attribute max number is now 2^31 - 1.][43097] This was
previously 2^15. previously 2^15.
- [`{OsStr, Path}::Display` now avoids allocations where possible][42613] - [`{OsStr, Path}::Display` now avoids allocations where possible][42613]
@ -8288,7 +8288,7 @@ Libraries
algorithm][s]. algorithm][s].
* [`std::io::copy` allows `?Sized` arguments][cc]. * [`std::io::copy` allows `?Sized` arguments][cc].
* The `Windows`, `Chunks`, and `ChunksMut` iterators over slices all * The `Windows`, `Chunks`, and `ChunksMut` iterators over slices all
[override `count`, `nth` and `last` with an O(1) [override `count`, `nth` and `last` with an *O*(1)
implementation][it]. implementation][it].
* [`Default` is implemented for arrays up to `[T; 32]`][d]. * [`Default` is implemented for arrays up to `[T; 32]`][d].
* [`IntoRawFd` has been added to the Unix-specific prelude, * [`IntoRawFd` has been added to the Unix-specific prelude,
@ -8810,7 +8810,7 @@ Libraries
* The `Default` implementation for `Arc` [no longer requires `Sync + * The `Default` implementation for `Arc` [no longer requires `Sync +
Send`][arc]. Send`][arc].
* [The `Iterator` methods `count`, `nth`, and `last` have been * [The `Iterator` methods `count`, `nth`, and `last` have been
overridden for slices to have O(1) performance instead of O(n)][si]. overridden for slices to have *O*(1) performance instead of *O*(*n*)][si].
* Incorrect handling of paths on Windows has been improved in both the * Incorrect handling of paths on Windows has been improved in both the
compiler and the standard library. compiler and the standard library.
* [`AtomicPtr` gained a `Default` implementation][ap]. * [`AtomicPtr` gained a `Default` implementation][ap].

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@ -3,7 +3,7 @@
//! Also computes as the resulting DAG if each SCC is replaced with a //! Also computes as the resulting DAG if each SCC is replaced with a
//! node in the graph. This uses [Tarjan's algorithm]( //! node in the graph. This uses [Tarjan's algorithm](
//! https://en.wikipedia.org/wiki/Tarjan%27s_strongly_connected_components_algorithm) //! https://en.wikipedia.org/wiki/Tarjan%27s_strongly_connected_components_algorithm)
//! that completes in *O(n)* time. //! that completes in *O*(*n*) time.
use crate::fx::FxHashSet; use crate::fx::FxHashSet;
use crate::graph::vec_graph::VecGraph; use crate::graph::vec_graph::VecGraph;

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@ -9,7 +9,7 @@ mod index_map;
pub use index_map::SortedIndexMultiMap; pub use index_map::SortedIndexMultiMap;
/// `SortedMap` is a data structure with similar characteristics as BTreeMap but /// `SortedMap` is a data structure with similar characteristics as BTreeMap but
/// slightly different trade-offs: lookup, insertion, and removal are O(log(N)) /// slightly different trade-offs: lookup, insertion, and removal are *O*(log(*n*))
/// and elements can be iterated in order cheaply. /// and elements can be iterated in order cheaply.
/// ///
/// `SortedMap` can be faster than a `BTreeMap` for small sizes (<50) since it /// `SortedMap` can be faster than a `BTreeMap` for small sizes (<50) since it

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@ -3,7 +3,7 @@
//! Insertion and popping the largest element have *O*(log(*n*)) time complexity. //! Insertion and popping the largest element have *O*(log(*n*)) time complexity.
//! Checking the largest element is *O*(1). Converting a vector to a binary heap //! Checking the largest element is *O*(1). Converting a vector to a binary heap
//! can be done in-place, and has *O*(*n*) complexity. A binary heap can also be //! can be done in-place, and has *O*(*n*) complexity. A binary heap can also be
//! converted to a sorted vector in-place, allowing it to be used for an *O*(*n* \* log(*n*)) //! converted to a sorted vector in-place, allowing it to be used for an *O*(*n* * log(*n*))
//! in-place heapsort. //! in-place heapsort.
//! //!
//! # Examples //! # Examples
@ -244,8 +244,8 @@ use super::SpecExtend;
/// # Time complexity /// # Time complexity
/// ///
/// | [push] | [pop] | [peek]/[peek\_mut] | /// | [push] | [pop] | [peek]/[peek\_mut] |
/// |--------|-----------|--------------------| /// |---------|---------------|--------------------|
/// | O(1)~ | *O*(log(*n*)) | *O*(1) | /// | *O*(1)~ | *O*(log(*n*)) | *O*(1) |
/// ///
/// The value for `push` is an expected cost; the method documentation gives a /// The value for `push` is an expected cost; the method documentation gives a
/// more detailed analysis. /// more detailed analysis.

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@ -1,8 +1,8 @@
//! A contiguous growable array type with heap-allocated contents, written //! A contiguous growable array type with heap-allocated contents, written
//! `Vec<T>`. //! `Vec<T>`.
//! //!
//! Vectors have `O(1)` indexing, amortized `O(1)` push (to the end) and //! Vectors have *O*(1) indexing, amortized *O*(1) push (to the end) and
//! `O(1)` pop (from the end). //! *O*(1) pop (from the end).
//! //!
//! Vectors ensure they never allocate more than `isize::MAX` bytes. //! Vectors ensure they never allocate more than `isize::MAX` bytes.
//! //!
@ -1268,7 +1268,7 @@ impl<T, A: Allocator> Vec<T, A> {
/// ///
/// The removed element is replaced by the last element of the vector. /// The removed element is replaced by the last element of the vector.
/// ///
/// This does not preserve ordering, but is O(1). /// This does not preserve ordering, but is *O*(1).
/// ///
/// # Panics /// # Panics
/// ///

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@ -1798,10 +1798,11 @@ pub trait Iterator {
/// The relative order of partitioned items is not maintained. /// The relative order of partitioned items is not maintained.
/// ///
/// # Current implementation /// # Current implementation
///
/// Current algorithms tries finding the first element for which the predicate evaluates /// Current algorithms tries finding the first element for which the predicate evaluates
/// to false, and the last element for which it evaluates to true and repeatedly swaps them. /// to false, and the last element for which it evaluates to true and repeatedly swaps them.
/// ///
/// Time Complexity: *O*(*N*) /// Time complexity: *O*(*n*)
/// ///
/// See also [`is_partitioned()`] and [`partition()`]. /// See also [`is_partitioned()`] and [`partition()`].
/// ///

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@ -98,10 +98,10 @@
//! ## Sequences //! ## Sequences
//! //!
//! | | get(i) | insert(i) | remove(i) | append | split_off(i) | //! | | get(i) | insert(i) | remove(i) | append | split_off(i) |
//! |----------------|----------------|-----------------|----------------|--------|----------------| //! |----------------|------------------------|-------------------------|------------------------|-----------|------------------------|
//! | [`Vec`] | O(1) | O(n-i)* | O(n-i) | O(m)* | O(n-i) | //! | [`Vec`] | *O*(1) | *O*(*n*-*i*)* | *O*(*n*-*i*) | *O*(*m*)* | *O*(*n*-*i*) |
//! | [`VecDeque`] | O(1) | O(min(i, n-i))* | O(min(i, n-i)) | O(m)* | O(min(i, n-i)) | //! | [`VecDeque`] | *O*(1) | *O*(min(*i*, *n*-*i*))* | *O*(min(*i*, *n*-*i*)) | *O*(*m*)* | *O*(min(*i*, *n*-*i*)) |
//! | [`LinkedList`] | O(min(i, n-i)) | O(min(i, n-i)) | O(min(i, n-i)) | O(1) | O(min(i, n-i)) | //! | [`LinkedList`] | *O*(min(*i*, *n*-*i*)) | *O*(min(*i*, *n*-*i*)) | *O*(min(*i*, *n*-*i*)) | *O*(1) | *O*(min(*i*, *n*-*i*)) |
//! //!
//! Note that where ties occur, [`Vec`] is generally going to be faster than [`VecDeque`], and //! Note that where ties occur, [`Vec`] is generally going to be faster than [`VecDeque`], and
//! [`VecDeque`] is generally going to be faster than [`LinkedList`]. //! [`VecDeque`] is generally going to be faster than [`LinkedList`].
@ -111,9 +111,9 @@
//! For Sets, all operations have the cost of the equivalent Map operation. //! For Sets, all operations have the cost of the equivalent Map operation.
//! //!
//! | | get | insert | remove | range | append | //! | | get | insert | remove | range | append |
//! |--------------|-----------|-----------|-----------|-----------|--------| //! |--------------|---------------|---------------|---------------|---------------|--------------|
//! | [`HashMap`] | O(1)~ | O(1)~* | O(1)~ | N/A | N/A | //! | [`HashMap`] | *O*(1)~ | *O*(1)~* | *O*(1)~ | N/A | N/A |
//! | [`BTreeMap`] | O(log(n)) | O(log(n)) | O(log(n)) | O(log(n)) | O(n+m) | //! | [`BTreeMap`] | *O*(log(*n*)) | *O*(log(*n*)) | *O*(log(*n*)) | *O*(log(*n*)) | *O*(*n*+*m*) |
//! //!
//! # Correct and Efficient Usage of Collections //! # Correct and Efficient Usage of Collections
//! //!

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@ -43,8 +43,8 @@
//! terminator, so the buffer length is really `len+1` characters. //! terminator, so the buffer length is really `len+1` characters.
//! Rust strings don't have a nul terminator; their length is always //! Rust strings don't have a nul terminator; their length is always
//! stored and does not need to be calculated. While in Rust //! stored and does not need to be calculated. While in Rust
//! accessing a string's length is a `O(1)` operation (because the //! accessing a string's length is an *O*(1) operation (because the
//! length is stored); in C it is an `O(length)` operation because the //! length is stored); in C it is an *O*(*n*) operation because the
//! length needs to be computed by scanning the string for the nul //! length needs to be computed by scanning the string for the nul
//! terminator. //! terminator.
//! //!

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@ -995,7 +995,7 @@ declare_clippy_lint! {
declare_clippy_lint! { declare_clippy_lint! {
/// ### What it does /// ### What it does
/// Checks for use of `.iter().nth()` (and the related /// Checks for use of `.iter().nth()` (and the related
/// `.iter_mut().nth()`) on standard library types with O(1) element access. /// `.iter_mut().nth()`) on standard library types with *O*(1) element access.
/// ///
/// ### Why is this bad? /// ### Why is this bad?
/// `.get()` and `.get_mut()` are more efficient and more /// `.get()` and `.get_mut()` are more efficient and more