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authorDaniel Baumann <daniel.baumann@progress-linux.org>2024-04-07 19:33:14 +0000
committerDaniel Baumann <daniel.baumann@progress-linux.org>2024-04-07 19:33:14 +0000
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Adding upstream version 115.7.0esr.upstream/115.7.0esrupstream
Signed-off-by: Daniel Baumann <daniel.baumann@progress-linux.org>
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+memchr
+======
+This library provides heavily optimized routines for string search primitives.
+
+[![Build status](https://github.com/BurntSushi/memchr/workflows/ci/badge.svg)](https://github.com/BurntSushi/memchr/actions)
+[![Crates.io](https://img.shields.io/crates/v/memchr.svg)](https://crates.io/crates/memchr)
+
+Dual-licensed under MIT or the [UNLICENSE](https://unlicense.org/).
+
+
+### Documentation
+
+[https://docs.rs/memchr](https://docs.rs/memchr)
+
+
+### Overview
+
+* The top-level module provides routines for searching for 1, 2 or 3 bytes
+ in the forward or reverse direction. When searching for more than one byte,
+ positions are considered a match if the byte at that position matches any
+ of the bytes.
+* The `memmem` sub-module provides forward and reverse substring search
+ routines.
+
+In all such cases, routines operate on `&[u8]` without regard to encoding. This
+is exactly what you want when searching either UTF-8 or arbitrary bytes.
+
+### Compiling without the standard library
+
+memchr links to the standard library by default, but you can disable the
+`std` feature if you want to use it in a `#![no_std]` crate:
+
+```toml
+[dependencies]
+memchr = { version = "2", default-features = false }
+```
+
+On x86 platforms, when the `std` feature is disabled, the SSE2 accelerated
+implementations will be used. When `std` is enabled, AVX accelerated
+implementations will be used if the CPU is determined to support it at runtime.
+
+### Using libc
+
+`memchr` is a routine that is part of libc, although this crate does not use
+libc by default. Instead, it uses its own routines, which are either vectorized
+or generic fallback routines. In general, these should be competitive with
+what's in libc, although this has not been tested for all architectures. If
+using `memchr` from libc is desirable and a vectorized routine is not otherwise
+available in this crate, then enabling the `libc` feature will use libc's
+version of `memchr`.
+
+The rest of the functions in this crate, e.g., `memchr2` or `memrchr3` and the
+substring search routines, will always use the implementations in this crate.
+One exception to this is `memrchr`, which is an extension in `libc` found on
+Linux. On Linux, `memrchr` is used in precisely the same scenario as `memchr`,
+as described above.
+
+
+### Minimum Rust version policy
+
+This crate's minimum supported `rustc` version is `1.41.1`.
+
+The current policy is that the minimum Rust version required to use this crate
+can be increased in minor version updates. For example, if `crate 1.0` requires
+Rust 1.20.0, then `crate 1.0.z` for all values of `z` will also require Rust
+1.20.0 or newer. However, `crate 1.y` for `y > 0` may require a newer minimum
+version of Rust.
+
+In general, this crate will be conservative with respect to the minimum
+supported version of Rust.
+
+
+### Testing strategy
+
+Given the complexity of the code in this crate, along with the pervasive use
+of `unsafe`, this crate has an extensive testing strategy. It combines multiple
+approaches:
+
+* Hand-written tests.
+* Exhaustive-style testing meant to exercise all possible branching and offset
+ calculations.
+* Property based testing through [`quickcheck`](https://github.com/BurntSushi/quickcheck).
+* Fuzz testing through [`cargo fuzz`](https://github.com/rust-fuzz/cargo-fuzz).
+* A huge suite of benchmarks that are also run as tests. Benchmarks always
+ confirm that the expected result occurs.
+
+Improvements to the testing infrastructure are very welcome.
+
+
+### Algorithms used
+
+At time of writing, this crate's implementation of substring search actually
+has a few different algorithms to choose from depending on the situation.
+
+* For very small haystacks,
+ [Rabin-Karp](https://en.wikipedia.org/wiki/Rabin%E2%80%93Karp_algorithm)
+ is used to reduce latency. Rabin-Karp has very small overhead and can often
+ complete before other searchers have even been constructed.
+* For small needles, a variant of the
+ ["Generic SIMD"](http://0x80.pl/articles/simd-strfind.html#algorithm-1-generic-simd)
+ algorithm is used. Instead of using the first and last bytes, a heuristic is
+ used to select bytes based on a background distribution of byte frequencies.
+* In all other cases,
+ [Two-Way](https://en.wikipedia.org/wiki/Two-way_string-matching_algorithm)
+ is used. If possible, a prefilter based on the "Generic SIMD" algorithm
+ linked above is used to find candidates quickly. A dynamic heuristic is used
+ to detect if the prefilter is ineffective, and if so, disables it.