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(((((((     IDDDDLI$I$ &I$$$I$I$$I$IJ%I$I$I%I$I$I$I$I$$I7'I%I$I0II$$I0I%I$I$I%I$IB%B &I$I%I$I$I%31I1I$dDDDDD<HzPX`hpx p  { b |w (08q@HPXW`hpx !"# $(%0&8'@(H)P*X+`,h-p.x/}0123456789:;<=>?@AB C(D0E8F@GHHPIXJ`KhLpMxNOQRSTUVsearcherpatternshaystackanchoredBorrowedearliestSearcherhash_lenCowBytesSlimNeonPatterns@ !"#$%&'()*+,-./0123456789:;<=>?`abcdefghijklmnopqrstuvwxyz{|}~@ABCDEFGHIJKLMNOPQRSTUVWXYZ[\]^_π stride:  ./prebuilts/rust-toolchain/linux-x86/1.93.1/lib/rustlib/src/rust/library/alloc/src/collections/btree/navigate.rsexternal/rust/android-crates-io/crates/aho-corasick/src/util/buffer.rspattern length:  longest pattern length:  .../prebuilts/rust-toolchain/linux-x86/1.93.1/lib/rustlib/src/rust/library/core/src/iter/traits/iterator.rs match kind:  byte classes:  failed to create StateID from , which exceeds external/rust/android-crates-io/crates/aho-corasick/src/util/alphabet.rs./prebuilts/rust-toolchain/linux-x86/1.93.1/lib/rustlib/src/rust/library/alloc/src/collections/btree/map/entry.rs>pattern identifier overflow: failed to create pattern ID from , which exceeds the max of prefilter:  external/rust/android-crates-io/crates/aho-corasick/src/util/search.rs-./prebuilts/rust-toolchain/linux-x86/1.93.1/lib/rustlib/src/rust/library/alloc/src/collections/btree/node.rs./prebuilts/rust-toolchain/linux-x86/1.93.1/lib/rustlib/src/rust/library/core/src/slice/sort/stable/drift.rs./external/rust/android-crates-io/crates/memchr/src/arch/generic/packedpair.rs- => ./external/rust/android-crates-io/crates/memchr/src/arch/generic/memchr.rsexternal/rust/android-crates-io/crates/aho-corasick/src/packed/api.rs./prebuilts/rust-toolchain/linux-x86/1.93.1/lib/rustlib/src/rust/library/core/src/slice/sort/stable/quicksort.rs:state identifier overflow: failed to create state ID from , which exceeds the max of ./external/rust/android-crates-io/crates/memchr/src/arch/all/packedpair/mod.rs match kind " does not support stream searching match kind & does not support overlapping searchesexternal/rust/android-crates-io/crates/aho-corasick/src/packed/teddy/generic.rs./prebuilts/rust-toolchain/linux-x86/1.93.1/lib/rustlib/src/rust/library/alloc/src/vec/set_len_on_drop.rsexternal/rust/android-crates-io/crates/aho-corasick/src/util/debug.rsexternal/rust/android-crates-io/crates/aho-corasick/src/nfa/noncontiguous.rsexternal/rust/android-crates-io/crates/aho-corasick/src/nfa/contiguous.rsDcannot create iterator for PatternID when number of elements exceed failed to create PatternID from , which exceeds external/rust/android-crates-io/crates/aho-corasick/src/util/remapper.rsexternal/rust/android-crates-io/crates/aho-corasick/src/util/prefilter.rsexternal/rust/android-crates-io/crates/aho-corasick/src/packed/rabinkarp.rsshortest pattern length:  memory usage:  Bcannot create iterator for StateID when number of elements exceed external/rust/android-crates-io/crates/aho-corasick/src/dfa.rs => alphabet length:  "failed to create small index from , which exceeds ./prebuilts/rust-toolchain/linux-x86/1.93.1/lib/rustlib/src/rust/library/alloc/src/vec/mod.rsexternal/rust/android-crates-io/crates/aho-corasick/src/automaton.rs./prebuilts/rust-toolchain/linux-x86/1.93.1/lib/rustlib/src/rust/library/alloc/src/collections/vec_deque/mod.rspattern with length ' exceeds the maximum pattern length of external/rust/android-crates-io/crates/aho-corasick/src/util/primitives.rs Match(pid: , link: ) => [./prebuilts/rust-toolchain/linux-x86/1.93.1/lib/rustlib/src/rust/library/core/src/iter/adapters/enumerate.rsstate length:  external/rust/android-crates-io/crates/aho-corasick/src/packed/pattern.rsmatch state must have non-empty pidsspankindSomeNoneSlimMaskcalled `Result::unwrap()` on an `Err` valueinvalid match span >* *>D assertion failed: src.len() == dst.len()buffer capacity should be bigger than minimum amountassertion failed: self.by_id.len() <= u16::MAX as usizeassertion failed: !bytes.is_empty()assertion failed: patterns.len() >= 1assertion failed: hash_len >= 1equivalence classes are never emptyinternal error: entered unreachable codeassertion failed: old_start_uid < old_start_aidanchored start state should be at index 3Teddy does not support zero-length patternsTeddy requires at least one patternpatterns longer than SmallIndex::MAX are not allowedstate must not be dense yetstate must have zero transitionsassertion failed: edge.height == self.height - 1743210/.-gBC,+*)('&%$#"!8 ކz̻Ú~xªp{rߗ֘͵ũiPb`aQϑtsykmn|oRlvqw}u\jSHc]AOǾ' 'PatternlitRabinKarpbucketshash_2powStateIDErrorF i: i: dfa::DFA( ) matches: , i( i): contiguous::NFA( matches: StateIDAhoCorasickTransition(byte: d, next: , link: )anchored searches are not supported or enabledunanchored searches are not supported or enabledmatching with an empty pattern string is not supported for this 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Wft~( )5=DR hu  "/8@( )5=DR hu                                                                                                                                                                ,HIutJ s\J uJ  v|J  tDK  tK  TKTK؝tKLLtLƻDL,L},LLLߺ$LLL\GG A library for finding occurrences of many patterns at once. This library provides multiple pattern search principally through an implementation of the [Aho-Corasick algorithm](https://en.wikipedia.org/wiki/Aho%E2%80%93Corasick_algorithm), which builds a fast finite state machine for executing searches in linear time. Additionally, this library provides a number of configuration options for building the automaton that permit controlling the space versus time trade off. Other features include simple ASCII case insensitive matching, finding overlapping matches, replacements, searching streams and even searching and replacing text in streams. Finally, unlike most other Aho-Corasick implementations, this one supports enabling [leftmost-first](MatchKind::LeftmostFirst) or [leftmost-longest](MatchKind::LeftmostLongest) match semantics, using a (seemingly) novel alternative construction algorithm. For more details on what match semantics means, see the [`MatchKind`] type. # Overview This section gives a brief overview of the primary types in this crate: * [`AhoCorasick`] is the primary type and represents an Aho-Corasick automaton. This is the type you use to execute searches. * [`AhoCorasickBuilder`] can be used to build an Aho-Corasick automaton, and supports configuring a number of options. * [`Match`] represents a single match reported by an Aho-Corasick automaton. Each match has two pieces of information: the pattern that matched and the start and end byte offsets corresponding to the position in the haystack at which it matched. # Example: basic searching This example shows how to search for occurrences of multiple patterns simultaneously. Each match includes the pattern that matched along with the byte offsets of the match. ``` use aho_corasick::{AhoCorasick, PatternID}; let patterns = &["apple", "maple", "Snapple"]; let haystack = "Nobody likes maple in their apple flavored Snapple."; let ac = AhoCorasick::new(patterns).unwrap(); let mut matches = vec![]; for mat in ac.find_iter(haystack) { matches.push((mat.pattern(), mat.start(), mat.end())); } assert_eq!(matches, vec![ (PatternID::must(1), 13, 18), (PatternID::must(0), 28, 33), (PatternID::must(2), 43, 50), ]); ``` # Example: case insensitivity This is like the previous example, but matches `Snapple` case insensitively using `AhoCorasickBuilder`: ``` use aho_corasick::{AhoCorasick, PatternID}; let patterns = &["apple", "maple", "snapple"]; let haystack = "Nobody likes maple in their apple flavored Snapple."; let ac = AhoCorasick::builder() .ascii_case_insensitive(true) .build(patterns) .unwrap(); let mut matches = vec![]; for mat in ac.find_iter(haystack) { matches.push((mat.pattern(), mat.start(), mat.end())); } assert_eq!(matches, vec![ (PatternID::must(1), 13, 18), (PatternID::must(0), 28, 33), (PatternID::must(2), 43, 50), ]); ``` # Example: replacing matches in a stream This example shows how to execute a search and replace on a stream without loading the entire stream into memory first. ``` # #[cfg(feature = "std")] { use aho_corasick::AhoCorasick; # fn example() -> Result<(), std::io::Error> { let patterns = &["fox", "brown", "quick"]; let replace_with = &["sloth", "grey", "slow"]; // In a real example, these might be `std::fs::File`s instead. All you need to // do is supply a pair of `std::io::Read` and `std::io::Write` implementations. let rdr = "The quick brown fox."; let mut wtr = vec![]; let ac = AhoCorasick::new(patterns).unwrap(); ac.try_stream_replace_all(rdr.as_bytes(), &mut wtr, replace_with)?; assert_eq!(b"The slow grey sloth.".to_vec(), wtr); # Ok(()) }; example().unwrap() # } ``` # Example: finding the leftmost first match In the textbook description of Aho-Corasick, its formulation is typically structured such that it reports all possible matches, even when they overlap with another. In many cases, overlapping matches may not be desired, such as the case of finding all successive non-overlapping matches like you might with a standard regular expression. Unfortunately the "obvious" way to modify the Aho-Corasick algorithm to do this doesn't always work in the expected way, since it will report matches as soon as they are seen. For example, consider matching the regex `Samwise|Sam` against the text `Samwise`. Most regex engines (that are Perl-like, or non-POSIX) will report `Samwise` as a match, but the standard Aho-Corasick algorithm modified for reporting non-overlapping matches will report `Sam`. A novel contribution of this library is the ability to change the match semantics of Aho-Corasick (without additional search time overhead) such that `Samwise` is reported instead. For example, here's the standard approach: ``` use aho_corasick::AhoCorasick; let patterns = &["Samwise", "Sam"]; let haystack = "Samwise"; let ac = AhoCorasick::new(patterns).unwrap(); let mat = ac.find(haystack).expect("should have a match"); assert_eq!("Sam", &haystack[mat.start()..mat.end()]); ``` And now here's the leftmost-first version, which matches how a Perl-like regex will work: ``` use aho_corasick::{AhoCorasick, MatchKind}; let patterns = &["Samwise", "Sam"]; let haystack = "Samwise"; let ac = AhoCorasick::builder() .match_kind(MatchKind::LeftmostFirst) .build(patterns) .unwrap(); let mat = ac.find(haystack).expect("should have a match"); assert_eq!("Samwise", &haystack[mat.start()..mat.end()]); ``` In addition to leftmost-first semantics, this library also supports leftmost-longest semantics, which match the POSIX behavior of a regular expression alternation. See [`MatchKind`] for more details. # Prefilters While an Aho-Corasick automaton can perform admirably when compared to more naive solutions, it is generally slower than more specialized algorithms that are accelerated using vector instructions such as SIMD. For that reason, this library will internally use a "prefilter" to attempt to accelerate searches when possible. Currently, this library has several different algorithms it might use depending on the patterns provided. Once the number of patterns gets too big, prefilters are no longer used. While a prefilter is generally good to have on by default since it works well in the common case, it can lead to less predictable or even sub-optimal performance in some cases. For that reason, prefilters can be explicitly disabled via [`AhoCorasickBuilder::prefilter`]. # Lower level APIs This crate also provides several sub-modules that collectively expose many of the implementation details of the main [`AhoCorasick`] type. Most users of this library can completely ignore the submodules and their contents, but if you needed finer grained control, some parts of them may be useful to you. Here is a brief overview of each and why you might want to use them: * The [`packed`] sub-module contains a lower level API for using fast vectorized routines for finding a small number of patterns in a haystack. You might want to use this API when you want to completely side-step using Aho-Corasick automata. Otherwise, the fast vectorized routines are used automatically as prefilters for `AhoCorasick` searches whenever possible. * The [`automaton`] sub-module provides a lower level finite state machine interface that the various Aho-Corasick implementations in this crate implement. This sub-module's main contribution is the [`Automaton`](automaton::Automaton) trait, which permits manually walking the state transitions of an Aho-Corasick automaton. * The [`dfa`] and [`nfa`] sub-modules provide DFA and NFA implementations of the aforementioned `Automaton` trait. The main reason one might want to use these sub-modules is to get access to a type that implements the `Automaton` trait. (The top-level `AhoCorasick` type does not implement the `Automaton` trait.) As mentioned above, if you aren't sure whether you need these sub-modules, you should be able to safely ignore them and just focus on the [`AhoCorasick`] type. # Crate features This crate exposes a few features for controlling dependency usage and whether this crate can be used without the standard library. * **std** - Enables support for the standard library. This feature is enabled by default. When disabled, only `core` and `alloc` are used. At an API level, enabling `std` enables `std::error::Error` trait impls for the various error types, and higher level stream search routines such as [`AhoCorasick::try_stream_find_iter`]. But the `std` feature is also required to enable vectorized prefilters. Prefilters can greatly accelerate searches, but generally only apply when the number of patterns is small (less than ~100). * **perf-literal** - Enables support for literal prefilters that use vectorized routines from external crates. This feature is enabled by default. If you're only using Aho-Corasick for large numbers of patterns or otherwise can abide lower throughput when searching with a small number of patterns, then it is reasonable to disable this feature. * **logging** - Enables a dependency on the `log` crate and emits messages to aide in diagnostics. This feature is disabled by default.  l%m%l%uk% sj% ui%  vh%  tg%  tf%  e%d%؝c%b%a%ƻ`%_%}^%]%ߺ\%[%&&&H&I&I"&J&&&&&&v&y&k&n&&(c&f&W&Z&K&N&<A&D&5&8&J+&.& &#&&& & &%&%%TM4M' +  1 <, 2 3 :, 485& 788 ;*> A + K L e8M P d8L ?L @AT L,tTLd~DorjL^aQTDG 9<,/.0"% EOONKH Convenience constructors for an Aho-Corasick searcher. To configure theN41 searcher, use an [`AhoCorasickBuilder`] instead.BEVOHE Create a new Aho-Corasick automaton using the default configuration.PPHE The default configuration optimizes for less space usage, but at thePDA expense of longer search times. To change the configuration, useܥQ [`AhoCorasickBuilder`].QQHE This uses the default [`MatchKind::Standard`] match semantics, whichRC@ reports a match as soon as it is found. This corresponds to theRFC standard match semantics supported by textbook descriptions of theܭS Aho-Corasick algorithm.StS # ExamplesSS Basic usage:T; let mat = ac.find(haystack).expect("should have a match");s74 assert_eq!("b", &haystack[mat.start()..mat.end()]);'w96 assert_eq!("abc", &haystack[mat.start()..mat.end()]);'<{ӈ'{{# # Example: configuring a search{{C@ Because this method accepts anything that can be turned into an|GD [`Input`], it's possible to provide an `Input` directly in order to}A> configure the search. In this example, we show how to use the}GD `earliest` option to force the search to return as soon as it knows̖~ a match has occurred.~<~ӈ'~63 use aho_corasick::{AhoCorasick, Input, MatchKind};)'Թ'#'/'ļ'ـ':7 let mat = ac.find(Input::new(haystack).earliest(true))'$ .expect("should have a match");ہFC // The correct leftmost-longest match here is 'abcd', but since weHE // told the search to quit as soon as it knows a match has occurred,%" // we get a different match back.7'<كӈ'$ ÀF K LKL F' '| J $y24Ϙ}DA Returns the location of the first overlapping match in the givenGD input with respect to the current state of the underlying searcher.K'8'ć̇EB Overlapping searches do not report matches in their return value.HE Instead, matches can be accessed via [`OverlappingState::get_match`] after a search call.%" This is the infallible version of*' [`AhoCorasick::try_find_overlapping`].d'@= This panics when [`AhoCorasick::try_find_overlapping`] wouldNJ@= return an error. For example, when the Aho-Corasick searcherDA doesn't support overlapping searches. (Only searchers built withՋDA [`MatchKind::Standard`] semantics support overlapping searches.)l # ExampleGD This shows how we can repeatedly call an overlapping search withoutHE ever needing to explicitly re-slice the haystack. Overlapping searchٍDA works this way because searches depend on state saved during the previous search.<Îӈ'ώ use aho_corasick::{$! automaton::OverlappingState," AhoCorasick, Input, Match,4 };ƏΏ30 let patterns = &["append", "appendage", "app"];52 let haystack = "append the app to the appendage";Ȑ1. let ac = AhoCorasick::new(patterns).unwrap();.+ let mut state = OverlappingState::start();.+ ac.find_overlapping(haystack, &mut state);>; assert_eq!(Some(Match::must(2, 0..3)), state.get_match());.'>; assert_eq!(Some(Match::must(0, 0..6)), state.get_match());.'@= assert_eq!(Some(Match::must(2, 11..14)), state.get_match());.'@= assert_eq!(Some(Match::must(2, 22..25)), state.get_match());.'@= assert_eq!(Some(Match::must(0, 22..28)), state.get_match());.'@= assert_eq!(Some(Match::must(1, 22..31)), state.get_match());)& // No more match matches to be found..'(% assert_eq!(None, state.get_match());<Øӈ'֘  F N ONO F' '| M $y9;kC@ Returns an iterator of non-overlapping matches, using the match7ڢ'K'8'EB This is the infallible version of [`AhoCorasick::try_find_iter`].Нd؝'JG This panics when [`AhoCorasick::try_find_iter`] would return an error.tȞ'۞)'<ӈ':7 use aho_corasick::{AhoCorasick, MatchKind, PatternID};3'5'ޠ#'B'ա''$! let matches: Vec = ac䲢 .find_iter(haystack)Ӣ! .map(|mat| mat.pattern()) .collect(); assert_eq!(vec![ܪ PatternID::must(2),ʣ'' ], matches);<ӈ'&'ޤ<ӈ':'3'5'#'ۦ-ŏ'č''$''!''ɨ' PatternID::must(0),܂'ܢ'©'<שӈ',ԫ'<ӈ':'3'5'#'/'ͬ''$'䪭'˭!'''ܢ'®' PatternID::must(1),'<ӈ'LQ Q   t   )DQQ F R SRSF' '| P $ݯy8:68ؼHE Returns an iterator of overlapping matches. Stated differently, thisձB? returns an iterator of all possible matches at every position.K'8'%ݹ'/, [`AhoCorasick::try_find_overlapping_iter`].d'JG This panics when `AhoCorasick::try_find_overlapping_iter` would returnGD an error. For example, when the Aho-Corasick searcher is built withӵEB either leftmost-first or leftmost-longest match semantics. StatedGD differently, overlapping searches require one to build the searcher52 with [`MatchKind::Standard`] (it is the default).ԫ # Example: basic usageʷ<ҷӈ'޷/'3'Ҹ5'1'ʹ$'(% .find_overlapping_iter(haystack)!'ƺ'޺''ܗ'ܷ'׻''ܗ''<̼ӈ'߼U U   t   |20U F V WVWF' '| T $y@8:68kHE Replace all matches with a corresponding value in the `replace_with`ÿFC slice given. Matches correspond to the same matches as reported by [`AhoCorasick::find_iter`].EB Replacements are determined by the index of the matching pattern.C@ For example, if the pattern with index `2` is found, then it is" replaced by `replace_with[2]`.GD This is the infallible version of [`AhoCorasick::try_replace_all`].d'EB This panics when [`AhoCorasick::try_replace_all`] would return anT error.=: This also panics when `replace_with.len()` does not equal" [`AhoCorasick::patterns_len`].Ժ'<ӈ'/'3'5'#'-ŏ'''<9 let result = ac.replace_all(haystack, &["x", "y", "z"]);.+ assert_eq!("x the z to the xage", result);<ӈ'\   ןF YY F T X$n79IF Replace all matches using raw bytes with a corresponding value in theIF `replace_with` slice given. Matches correspond to the same matches as+( reported by [`AhoCorasick::find_iter`].E'C'"'%ݹ'+( [`AhoCorasick::try_replace_all_bytes`].d'KH This panics when [`AhoCorasick::try_replace_all_bytes`] would return anT'='"'ԗ'<ӈ'/'3'63 let haystack = b"append the app to the appendage";#'-ŏ'''B? let result = ac.replace_all_bytes(haystack, &["x", "y", "z"]);85 assert_eq!(b"x the z to the xage".to_vec(), result);<ӈ'   F [[ F' \ Z$n9;=: Replace all matches using a closure called on each match.96 Matches correspond to the same matches as reported by'FC The closure accepts three parameters: the match found, the text ofGD the match and a string buffer with which to write the replaced textJG (if any). If the closure returns `true`, then it continues to the nextEB match. If the closure returns `false`, then searching is stopped.JG Note that any matches with boundaries that don't fall on a valid UTF-8" boundary are silently skipped.%ݹ'*' [`AhoCorasick::try_replace_all_with`].d'JG This panics when [`AhoCorasick::try_replace_all_with`] would return anT't''<ӈ'/'3'5'#'-ŏ'''# let mut result = String::new();>; ac.replace_all_with(haystack, &mut result, |mat, _, dst| {<9 dst.push_str(&mat.pattern().as_usize().to_string());d true< });.+ assert_eq!("0 the 2 to the 0age", result);<ӈ'EB Stopping the replacement by returning `false` (continued from the example above):<ӈ'<9 # use aho_corasick::{AhoCorasick, MatchKind, PatternID};52 # let patterns = &["append", "appendage", "app"];74 # let haystack = "append the app to the appendage";%" # let ac = AhoCorasick::builder().+ # .match_kind(MatchKind::LeftmostFirst)̭ # .build(patterns) # .unwrap();#'>'<'+( mat.pattern() != PatternID::must(2)<'30 assert_eq!("0 the 2 to the appendage", result);<ӈ'   ןF ]] F     ן(( $ \$nEB Replace all matches using raw bytes with a closure called on each@= match. Matches correspond to the same matches as reported by'F'EB the match and a byte buffer with which to write the replaced textJ'E'%ݹ'0- [`AhoCorasick::try_replace_all_with_bytes`].d'FC This panics when [`AhoCorasick::try_replace_all_with_bytes`] would return an error.t''<ӈ'/'3'6'#'-ŏ'đ'' let mut result = vec![];DA ac.replace_all_with_bytes(haystack, &mut result, |mat, _, dst| {A> dst.extend(mat.pattern().as_usize().to_string().bytes());d'<'85 assert_eq!(b"0 the 2 to the 0age".to_vec(), result);<ӈ'E'ƀ(<ӈ'<(5(85 # let haystack = b"append the app to the appendage";%‚(.((ʃ((DӍ(A(+(<'=: assert_eq!(b"0 the 2 to the appendage".to_vec(), result);<ӈ'   F __ F(     *ݔ( $ ^$no?< Returns an iterator of non-overlapping matches in the givenA> stream. Matches correspond to the same matches as reported by'IF The matches yielded by this iterator use absolute position offsets inȀEB the stream given, where the first byte has index `0`. Matches are)& yieled until the stream is exhausted.ȁ:7 Each item yielded by the iterator is an `Result`, where an error is yielded if there was a problem҂" reading from the reader given.KH When searching a stream, an internal buffer is used. Therefore, callersу=: should avoiding providing a buffered reader, if possible.%ݹ'ńHE [`AhoCorasick::try_stream_find_iter`]. Note that both methods returnGD iterators that produce `Result` values. The difference is that thisޅIF routine panics if _construction_ of the iterator failed. The `Result`KH values yield by the iterator come from whether the given reader returns&# an error or not during the search. # Memory usageƇ·JG In general, searching streams will use a constant amount of memory forHE its internal buffer. The one requirement is that the internal bufferHE must be at least the size of the longest possible match. In most useJG cases, the default buffer size will be much larger than any individualT match.d'GD This panics when [`AhoCorasick::try_stream_find_iter`] would returnIF an error. For example, when the Aho-Corasick searcher doesn't supportЋGD stream searches. (Only searchers built with [`MatchKind::Standard`]'$ semantics support stream searches.)ȌЌ'<ӈ'/'3'5'1' let mut matches = vec![];<9 for result in ac.stream_find_iter(haystack.as_bytes()) {ҏ let mat = result?;$! matches.push(mat.pattern());, }'ܽ'ݐ'''.+ # Ok::<(), Box>(())<ӈ'  8< 7,a a   u   |'aF bbF l `$В{CE13KH Fallible search routines. These APIs return an error in cases where the̔$! infallible routines would panic.dgjnrtvxz}tB'ϕEB semantics that this automaton was constructed with, and according'$ to the given `Input` configuration.Ŗ͖:7 This is the fallible version of [`AhoCorasick::find`].d # ErrorsJG This returns an error when this Aho-Corasick searcher does not support$! the given `Input` configuration.DA For example, if the Aho-Corasick searcher only supports anchoredDA searches or only supports unanchored searches, then providing anJG `Input` that requests an anchored (or unanchored) search when it isn't'$ supported would result in an error.š'$ # Example: leftmost-first searching.+ Basic usage with leftmost-first semantics:<ӈ'63 use aho_corasick::{AhoCorasick, MatchKind, Input};)' let haystack = "foo abcd";ќٜ#'-ŏ'ij'Н'C@ let mat = ac.try_find(haystack)?.expect("should have a match");-* assert_eq!("abc", &haystack[mat.span()]);.(<ӈ'0- # Example: anchored leftmost-first searchingEB This shows how to anchor the search, so that even if the haystackHE contains a match somewhere, a match won't be reported unless one can85 be found that starts at the beginning of the search:<ɡӈ'աKH use aho_corasick::{AhoCorasick, Anchored, Input, MatchKind, StartKind};)'̲ۢ(#'-ŏ'(% .start_kind(StartKind::Anchored)č''=: let input = Input::new(haystack).anchored(Anchored::Yes);*' assert_eq!(None, ac.try_find(input)?);.(<ӈ'KH If the beginning of the search is changed to where a match begins, thenѦ it will be found:<ӈ'K(ϧק)'̲(#'ب-ŏ'(Ӹ(ķ'ԩ'HE let input = Input::new(haystack).range(4..).anchored(Anchored::Yes);@= let mat = ac.try_find(input)?.expect("should have a match");-(.(<ӈ'0- # Example: earliest leftmost-first searchingIF This shows how to run an "earliest" search even when the Aho-CorasickFC searcher was compiled with leftmost-first match semantics. In thisԭGD case, the search is stopped as soon as it is known that a match hasHE occurred, even if it doesn't correspond to the leftmost-first match.<ӈ'6'į)'̲(#'Ű-ŏ'''41 let input = Input::new(haystack).earliest(true);@(+( assert_eq!("b", &haystack[mat.span()]);ٲ.(<ӈ'D ʄc e fef ѳc' '| d $ҳyU24D'G'ɶѶE'H޸''FC This is the fallible version of [`AhoCorasick::find_overlapping`].ظd(J(ȹC@ the given `Input` configuration or if overlapping search is nott supported.@= One example is that only Aho-Corasicker searchers built withIF [`MatchKind::Standard`] semantics support overlapping searches. UsingEB any other match semantics will result in this returning an error.Ԑ'Gý'H'нD''<ӈ'ƾ'$'"'4'ſ3'5'1'.'30 ac.try_find_overlapping(haystack, &mut state)?;>'3(>'3(@'3(@'3(@'3(@')'3(('.(<ӈ':7 # Example: implementing your own overlapping iterationDA The previous example can be easily adapted to implement your ownGD iteration by repeatedly calling `try_find_overlapping` until either41 an error occurs or no more matches are reported.>; This is effectively equivalent to the iterator returned byHE [`AhoCorasick::try_find_overlapping_iter`], with the only differenceEB being that the iterator checks for errors before construction andFC absolves the caller of needing to check for errors on every searchHE call. (Indeed, if the first `try_find_overlapping` call succeeds andFC the same `Input` is given to subsequent calls, then all subsequent%" calls are guaranteed to succeed.)<ӈ''$'"'4'3'5'1'.'(T loop {74 ac.try_find_overlapping(haystack, &mut state)?;+( let mat = match state.get_match() { None => break, Some(mat) => mat,T };ԛ matches.push(mat);,( let expected = vec![ Match::must(2, 0..3), Match::must(0, 0..6), Match::must(2, 11..14), Match::must(2, 22..25), Match::must(0, 22..28), Match::must(1, 22..31),4 ];" assert_eq!(expected, matches);.(<ӈ'! # Example: anchored iteration96 The previous example can also be adapted to implement74 iteration over all anchored matches. In particular,DA [`AhoCorasick::try_find_overlapping_iter`] does not support thisHE because it isn't totally clear what the match semantics ought to be.GD In this example, we will find all overlapping matches that start at  the beginning of our search.<ӈ''$'74 AhoCorasick, Anchored, Input, Match, StartKind,4'3'5'#'(Ӹ(''=(.'(T(<9 ac.try_find_overlapping(input.clone(), &mut state)?;+(Է((T(ԇ(,(İ(((4("(.(<ӈ'  ǐc h ihi c' '| g $y9;C'7ڢ'?< This is the fallible version of [`AhoCorasick::find_iter`].JG Note that the error returned by this method occurs during constructionHE of the iterator. The iterator itself yields `Match` values. That is,EB once the iterator is constructed, the iteration itself will never report an error.d(J($(D(D(Jԯ('('(.(<ӈ'A> use aho_corasick::{AhoCorasick, Input, MatchKind, PatternID};3'5'#'-ŏ'Ă''$'-* .try_find_iter(Input::new(haystack))?!''''܈'ܨ''.(<ӈ'0(IF This shows how to anchor the search, such that all matches must beginHE at the starting location of the search. For an iterator, an anchored1. search implies that all matches are adjacent.<ӈ''FC AhoCorasick, Anchored, Input, MatchKind, PatternID, StartKind,4'+( let patterns = &["foo", "bar", "quux"];$! let haystack = "fooquuxbar foo";#'-ŏ'(Ӹ(İ''$'EB .try_find_iter(Input::new(haystack).anchored(Anchored::Yes))?!'''ܮ'''IF // The final 'foo' is not found because it is not adjacent to theEB // 'bar' match. It needs to be adjacent because our search is // anchored.'.(<ӈ'lk kٳܳݳ޳߳i=2*   t   )DQk c l mmlc' '| j $y8:68/, Returns an iterator of overlapping matches.KH This is the fallible version of [`AhoCorasick::find_overlapping_iter`].݀J(H(E(˂(d(J(ԃC@ the given `Input` configuration or does not support overlappingl searches.@(I(ɅE(ԛ'<†ӈ'Ά63 use aho_corasick::{AhoCorasick, Input, PatternID};3'ɇ5'1'$'96 .try_find_overlapping_iter(Input::new(haystack))?!'Ή'''ܟ'ܿ'ߊ''ܟ''ԋ܋.(<ӈ';8 # Example: anchored overlapping search returns an errorDA It isn't clear what the match semantics for anchored overlappingGD iterators *ought* to be, so currently an error is returned. CallersHE may use [`AhoCorasick::try_find_overlapping`] to implement their own͎ semantics if desired.<ӈ'@= use aho_corasick::{AhoCorasick, Anchored, Input, StartKind};ď̏3')& let haystack = "appendappendage app";#'(Ӹ(ď''Ñ=(:7 assert!(ac.try_find_overlapping_iter(input).is_err());Ē̒.(<ӈ'̒o oٳܳݳ޳߳i=2*   t   |20o c p qpqc' '| n $Փy8:68H'F'# [`AhoCorasick::try_find_iter`].E'C'ɘ"'d'85 This panics when `replace_with.len()` does not equalΙ"'d(J(JG the default `Input` configuration. More specifically, this occurs onlyGD when the Aho-Corasick searcher does not support unanchored searchesDA since this replacement routine always does an unanchored search.ɜќ'<ӈ'/'3'5'#'-ŏ'Ĕ''ȟA> let result = ac.try_replace_all(haystack, &["x", "y", "z"])?;.'ɠ.(<ӈ'|   c ss c' 'T$nw(*ɯI'I'פ/, reported by [`AhoCorasick::try_find_iter`].E'ݥC'"'̦ԦGD This is the fallible version of [`AhoCorasick::replace_all_bytes`].d'8)"'d(ƨJ(J)Gۉ)D)ԁ'<ӈ'/'3'6'#'-ŏ'ŭ''GD let result = ac.try_replace_all_bytes(haystack, &["x", "y", "z"])?;Ů8'.(<ӈ'Я   c uu c' '\ȣ$nKV*,='Ͳ9'#)F'G'ҴJ'E'J'¶"'FC This is the fallible version of [`AhoCorasick::replace_all_with`].dķ(շݷJ(J)Gۉ)ǹD)t''Ⱥ<кӈ'ܺ/'3'л5'#'-ŏ'''#'ȽB? ac.try_replace_all_with(haystack, &mut result, |mat, _, dst| {<'dо'D })?;.'.(<ܿӈ'E'ƀ(<ӈ'<(5(7(%‚(.((ʃ(#'B)<'+(D)3ӄ(.(<ӈ'   ןǐc ww c(     ן(ޟ) $$nGR]Eه(@(#)F'E(J'E'# This is the fallible version of,) [`AhoCorasick::replace_all_with_bytes`].d(J(J)Gۉ)D)t''<ӈ'/'3'6'#'-ŏ'Ď''(HE ac.try_replace_all_with_bytes(haystack, &mut result, |mat, _, dst| {A(d'D)8(.(<ӈ'E'ƀ(<ӈ'<(5(8(%‚(.(̫(ʃ((H)A(+(D)=(.(<ӈ'   ǐc yy c(     *) $$nlw?(A(#)I(E()Ǘ(:(Fʘ("(Kҙ(=(FC This is the fallible version of [`AhoCorasick::stream_find_iter`].IF Note that both methods return iterators that produce `Result` values.JG The difference is that this routine returns an error if _construction_EB of the iterator failed. The `Result` values yield by the iteratorIF come from whether the given reader returns an error or not during the\ search.(J(H(Hܟ(J(T(d(J(J)Gۉ)IF since this stream searching routine always does an unanchored search.FC This also returns an error if the searcher does not support streamIF searches. Only searchers built with [`MatchKind::Standard`] semantics support stream searches.'<ӈ'/'3'5'1'(A> for result in ac.try_stream_find_iter(haystack.as_bytes())? {ͥ($(,('''܌''.(<ӈ'  8< 7,{ {ٳܳݳ޳߳i=2*   u   |'{c ||c( (l${?.0%'Œ;8 Search for and replace all matches of this automaton in=: the given reader, and write the replacements to the givenA> writer. Matches correspond to the same matches as reported by#)IF Replacements are determined by the index of the matching pattern. ForKH example, if the pattern with index `2` is found, then it is replaced by `replace_with[2]`.@= After all matches are replaced, the writer is _not_ flushed.JG If there was a problem reading from the given reader or writing to theHE given writer, then the corresponding `io::Error` is returned and all replacement is stopped.Kҙ(FC should avoiding providing a buffered reader, if possible. However,2/ callers may want to provide a buffered writer.GD Note that there is currently no infallible version of this routine.(J(H(Hܟ(J(T(d'8)"'d(ƒJ(J)Gۉ)I)F)͆Iܱ)䛇)ć'<ӈ'"'.+ let patterns = &["fox", "brown", "quick"];و*' let haystack = "The quick brown fox.";2/ let replace_with = &["sloth", "grey", "slow"];lj1'( ac.try_stream_replace_all( haystack.as_bytes(), &mut result, replace_with,< )?;96 assert_eq!(b"The slow grey sloth.".to_vec(), result);ߋ.(<ӈ'  8< 7,Ɍ  õۭc ~ ~ c(   (lt\ }${/:I}ԁ}ͳEB Search the given reader and replace all matches of this automatonݐ?< using the given closure. The result is written to the givenA)#)F'LI the match and the writer with which to write the replaced text (if any).@)J)הH)ܤ)ĕ̕Kҙ(F)2)G)(J(H(Hܟ(J(Tњ(d(J(ЛJ)Gۉ)I)F)Iܱ)ڞ)ԃ'<ӈ' use std::io::Write;ҟ"'.)*)1'䡡(¡# ac.try_stream_replace_all_with()) |mat, _, wtr| {JG wtr.write_all(mat.pattern().as_usize().to_string().as_bytes())T },<)/, assert_eq!(b"The 2 1 0.".to_vec(), result);ޣ.(<ӈ'  8< 7,Ȥ ۭc   c( )  (l)t    :) ۭĦ ${e!p!{!ԁƨGD Routines for querying information about the Aho-Corasick automaton.˯%IF Returns the kind of the Aho-Corasick automaton used by this searcher.FC Knowing the Aho-Corasick kind is principally useful for diagnosticƪ=: purposes. In particular, if no specific kind was given toFC [`AhoCorasickBuilder::kind`], then one is automatically chosen andӫ'$ this routine will report which one.FC Note that the heuristics used for choosing which `AhoCorasickKind`Ҭ2/ may be changed in a semver compatible release.t'<ӈ'52 use aho_corasick::{AhoCorasick, AhoCorasickKind};GD let ac = AhoCorasick::new(&["foo", "bar", "quux", "baz"]).unwrap();Ʈ?< // The specific Aho-Corasick kind chosen is not guaranteed!0- assert_eq!(AhoCorasickKind::DFA, ac.kind());<ӈ'$ү  ׯ $د%GD Returns the type of starting search configuration supported by thisܰ Aho-Corasick automaton.t'<ӈ'/, use aho_corasick::{AhoCorasick, StartKind};߱G)74 assert_eq!(StartKind::Unanchored, ac.start_kind());<ӈ'T   $%Ƴ2/ Returns the match kind used by this automaton.C@ The match kind is important because it determines what kinds ofʹDA matches are returned. Also, some operations (such as overlappingB? search and stream searching) are only supported when using theݵ'$ [`MatchKind::Standard`] match kind.t'<ӈ'/'G)52 assert_eq!(MatchKind::Standard, ac.match_kind());<ӈ'T   $&׸IF Returns the length of the shortest pattern matched by this automaton.t'ȹ'ݹ<ӈ'"'G)(% assert_eq!(3, ac.min_pattern_len());<ӈ'GD Note that an `AhoCorasick` automaton has a minimum length of `0` if.+ and only if it can match the empty string:<ӈ'"'DA let ac = AhoCorasick::new(&["foo", "", "quux", "baz"]).unwrap();(% assert_eq!(0, ac.min_pattern_len());<ӈ'|   $&ȾHE Returns the length of the longest pattern matched by this automaton.t''Ϳ<տӈ'"'G)(% assert_eq!(4, ac.max_pattern_len());<ӈ'|   $#B? Return the total number of patterns matched by this automaton.EB This includes patterns that may never participate in a match. ForJG example, if [`MatchKind::LeftmostFirst`] match semantics are used, andIF the patterns `Sam` and `Samwise` were used to build the automaton (inHE that order), then `Samwise` can never participate in a match because$! `Sam` will always take priority.t''<ӈ'"'?'%" assert_eq!(3, ac.patterns_len());<ӈ'd   $#KH Returns the approximate total amount of heap used by this automaton, in units of bytes.t'A> This example shows the difference in heap usage between a few configurations:<ӈ'74 # if !cfg!(target_pointer_width = "64") { return; }@= use aho_corasick::{AhoCorasick, AhoCorasickKind, MatchKind};#' .kind(None) // defaultHE .build(&["foobar", "bruce", "triskaidekaphobia", "springsteen"])')& assert_eq!(5_632, ac.memory_usage());#')%" .ascii_case_insensitive(true)H)'*' assert_eq!(11_136, ac.memory_usage());#'63 .kind(Some(AhoCorasickKind::NoncontiguousNFA))%)H)'*' assert_eq!(10_879, ac.memory_usage());#'30 .kind(Some(AhoCorasickKind::ContiguousNFA))%)H)')& assert_eq!(2_584, ac.memory_usage());#')& .kind(Some(AhoCorasickKind::DFA))%)H)'IF // While this shows the DFA being the biggest here by a small margin,EB // don't let the difference fool you. With such a small number ofIF // patterns, the difference is small, but a bigger number of patternsHE // will reveal that the rate of growth of the DFA is far bigger thanIF // the NFAs above. For a large number of patterns, it is easy for theDA // DFA to take an order of magnitude more heap space (or more!).*)<ӈ'd   $%`@  ``` ]`{]9ֹ`  $ *  KKL$#$ À    $5  KKL$#$ À    $=  8< 7,   lKK35L$;$    $"C@ Create a new builder for configuring an Aho-Corasick automaton.IF The builder provides a way to configure a number of things, includingGD ASCII case insensitivity and what kind of match semantics are used. GD Build an Aho-Corasick automaton using the configuration set on thisd builder.63 A builder may be reused to create more automatons.t''€<ʀӈ'ր63 use aho_corasick::{AhoCorasickBuilder, PatternID};*' let patterns = &["foo", "bar", "baz"];ȁ@= let ac = AhoCorasickBuilder::new().build(patterns).unwrap();|'!'ǂ4'4'<ӈ',    ӌ' ' ''D'\$C=?ACoT   $%H$! Set the desired match semantics.JG The default is [`MatchKind::Standard`], which corresponds to the matchC@ semantics supported by the standard textbook description of theΤHE Aho-Corasick algorithm. Namely, matches are reported as soon as theyHE are found. Moreover, this is the only way to get overlapping matches or do stream searching.=: The other kinds of match semantics that are supported areҦHE [`MatchKind::LeftmostFirst`] and [`MatchKind::LeftmostLongest`]. TheGD former corresponds to the match you would get if you were to try toIF match each pattern at each position in the haystack in the same orderJG that you give to the automaton. That is, it returns the leftmost matchEB corresponding to the earliest pattern given to the automaton. TheҩFC latter corresponds to finding the longest possible match among all leftmost matches.C@ For more details on match semantics, see the [documentation for䇫 `MatchKind`](MatchKind).=: Note that setting this to [`MatchKind::LeftmostFirst`] orEB [`MatchKind::LeftmostLongest`] will cause some search routines onDA [`AhoCorasick`] to return an error (or panic if you're using theB? infallible API). Notably, this includes stream and overlappingḽ(ޭt'C@ In these examples, we demonstrate the differences between matchɮC@ semantics for a particular set of patterns in a specific order: `b`, `abc`, `abcd`. Standard semantics:ѯ<ٯӈ'/')'ϰ'#'B'''>'ܲ7'<ӈ'쬳 Leftmost-first semantics:γ<ֳӈ'/')'̴'#'-ŏ'͵''>'Ķ9'<ӈ' Leftmost-longest semantics:<·ӈ'η/')'Ը'׸߸#'/'Ļ'ع'>':7 assert_eq!("abcd", &haystack[mat.start()..mat.end()]);<ӈ'T *  $ KH<9 Sets the starting state configuration for the automaton.KH Every Aho-Corasick automaton is capable of having two start states: oneJG that is used for unanchored searches and one that is used for anchoredʾKH searches. Some automatons, like the NFAs, support this with almost zeroJG additional cost. Other automatons, like the DFA, require two copies ofC@ the underlying transition table to support both simultaneously.IF Because there may be an added non-trivial cost to supporting both, itJG is possible to configure which starting state configuration is needed.B? Indeed, since anchored searches tend to be somewhat more rare,>; _only_ unanchored searches are supported by default. Thus,-* [`StartKind::Unanchored`] is the default.A> Note that when this is set to [`StartKind::Unanchored`], thenB? running an anchored search will result in an error (or a panicA> if using the infallible APIs). Similarly, when this is set toC@ [`StartKind::Anchored`], then running an unanchored search willFC result in an error (or a panic if using the infallible APIs). WhenKH [`StartKind::Both`] is used, then both unanchored and anchored searches are always supported.DA Also note that even if an `AhoCorasick` searcher is using an NFAB? internally (which always supports both unanchored and anchoredFC searches), an error will still be reported for a search that isn'tC@ supported by the configuration set via this method. This means,C@ for example, that an error is never dependent on which internal+( implementation of Aho-Corasick is used. # Example: anchored searchB? This shows how to build a searcher that only supports anchoredl searches:<ӈ''B? AhoCorasick, Anchored, Input, Match, MatchKind, StartKind,4'#'-ŏ'(Ӹ(%" .build(&["b", "abc", "abcd"])'IF // An unanchored search is not supported! An error here is guaranteed@= // given the configuration above regardless of which kind ofA> // Aho-Corasick implementation ends up being used internally.>; let input = Input::new("foo abcd").anchored(Anchored::No);)& assert!(ac.try_find(input).is_err());?< let input = Input::new("foo abcd").anchored(Anchored::Yes);*(;8 let input = Input::new("abcd").anchored(Anchored::Yes);@= assert_eq!(Some(Match::must(1, 0..3)), ac.try_find(input)?);.(<ӈ'/, # Example: unanchored and anchored searchesHE This shows how to build a searcher that supports both unanchored and anchored searches:<ӈ''B*4'#'-ŏ'$! .start_kind(StartKind::Both)%*'>*@= assert_eq!(Some(Match::must(1, 4..7)), ac.try_find(input)?);?**(;*@*.(<ӈ'T *  $ >Me1. Enable ASCII-aware case insensitive matching.DA When this option is enabled, searching will be performed without=: respect to case for ASCII letters (`a-z` and `A-Z`) only.IF Enabling this option does not change the search algorithm, but it may'$ increase the size of the automaton.GD **NOTE:** It is unlikely that support for Unicode case folding willIF be added in the future. The ASCII case works via a simple hack to theJG underlying automaton, but full Unicode handling requires a fair bit ofGD sophistication. If you do need Unicode handling, you might considerGD using the [`regex` crate](https://docs.rs/regex) or the lower level=: [`regex-automata` crate](https://docs.rs/regex-automata).t''<ӈ'"'*' let patterns = &["FOO", "bAr", "BaZ"];! let haystack = "foo bar baz";#'%)''2/ assert_eq!(3, ac.find_iter(haystack).count());<ӈ' *  $Ng30 Choose the type of underlying automaton to use.&# Currently, there are four choices:EB * [`AhoCorasickKind::NoncontiguousNFA`] instructs the searcher toGD use a [`noncontiguous::NFA`]. A noncontiguous NFA is the fastest toGD be built, has moderate memory usage and is typically the slowest to execute a search.HE * [`AhoCorasickKind::ContiguousNFA`] instructs the searcher to use aJG [`contiguous::NFA`]. A contiguous NFA is a little slower to build thanFC a noncontiguous NFA, has excellent memory usage and is typically a*' little slower than a DFA for a search.>; * [`AhoCorasickKind::DFA`] instructs the searcher to use aIF [`dfa::DFA`]. A DFA is very slow to build, uses exorbitant amounts of<9 memory, but will typically execute searches the fastest.FC * `None` (the default) instructs the searcher to choose the "best"IF Aho-Corasick implementation. This choice is typically based primarily on the number of patterns.FC Setting this configuration does not change the time complexity forFC constructing the Aho-Corasick automaton (which is `O(p)` where `p`DA is the total number of patterns being compiled). Setting this toGD [`AhoCorasickKind::DFA`] does however reduce the time complexity ofHE non-overlapping searches from `O(n + p)` to `O(n)`, where `n` is the܄ length of the haystack.HE In general, you should probably stick to the default unless you haveJG some kind of reason to use a specific Aho-Corasick implementation. ForFC example, you might choose `AhoCorasickKind::DFA` if you don't careB? about memory usage and want the fastest possible search times.FC Setting this guarantees that the searcher returned uses the chosenIF implementation. If that implementation could not be constructed, thenFC an error will be returned. In contrast, when `None` is used, it isFC possible for it to attempt to construct, for example, a contiguousEB NFA and have it fail. In which case, it will fall back to using a noncontiguous NFA.KH If `None` is given, then one may use [`AhoCorasick::kind`] to determine1. which Aho-Corasick implementation was chosen.F)2)$ *  $ PA-* Enable heuristic prefilter optimizations.A> When enabled, searching will attempt to quickly skip to matchEB candidates using specialized literal search routines. A prefilterFC cannot always be used, and is generally treated as a heuristic. ItDA can be useful to disable this if the prefilter is observed to be*' sub-optimal for a particular workload.KH Currently, prefilters are typically only active when building searchers41 with a small (less than 100) number of patterns.ȀЀ This is enabled by default.L *  $wQɏF̂IF Set the limit on how many states use a dense representation for theirIF transitions. Other states will generally use a sparse representation.JG A dense representation uses more memory but is generally faster, sinceFC the next transition in a dense representation can be computed in aFC constant number of instructions. A sparse representation uses lessՅIF memory but is generally slower, since the next transition in a sparseHE representation requires executing a variable number of instructions.IF This setting is only used when an Aho-Corasick implementation is usedƇKH that supports the dense versus sparse representation trade off. Not all< do.GD This limit is expressed in terms of the depth of a state, i.e., theGD number of transitions from the starting state of the automaton. The‰KH idea is that most of the time searching will be spent near the startingGD state of the automaton, so states near the start state should use aފHE dense representation. States further away from the start state would%" then use a sparse representation.Ջ݋IF By default, this is set to a low but non-zero number. Setting this toJG `0` is almost never what you want, since it is likely to make searchesHE very slow due to the start state itself being forced to use a sparseǍGD representation. However, it is unlikely that increasing this numberKH will help things much, since the most active states have a small depth.GD More to the point, the memory usage increases superlinearly as this number increases.\Џ * ܏ $2#SDEB A debug settting for whether to attempt to shrink the size of theב  automaton's alphabet or not.IF This option is enabled by default and should never be disabled unlessҒ.+ one is debugging the underlying automaton.KH When enabled, some (but not all) Aho-Corasick automatons will use a mapݓJG from all possible bytes to their corresponding equivalence class. EachJG equivalence class represents a set of bytes that does not discriminate52 between a match and a non-match in the automaton.JG The advantage of this map is that the size of the transition table can@= be reduced drastically from `#states * 256 * sizeof(u32)` toіFC `#states * k * sizeof(u32)` where `k` is the number of equivalenceFC classes (rounded up to the nearest power of 2). As a result, totalEB space usage can decrease substantially. Moreover, since a smallerC@ alphabet is used, automaton compilation becomes faster as well.HE **WARNING:** This is only useful for debugging automatons. DisablingΙGD this does not yield any speed advantages. Namely, even when this isFC disabled, a byte class map is still used while searching. The onlyFC difference is that every byte will be forced into its own distinctHE equivalence class. This is useful for debugging the actual generatedIF transitions because it lets one see the transitions defined on actual˜-* bytes instead of the equivalence classes.d +  $YT]\ aL`,$$Tl<ي+++x+l+a+UË+IՋ+Cي++++++Ë+yՋ+sħm ɧL`,$$Tl<~?.  84tH\ī IJ Ы $ѫm0YԬrT׬   $m@[{K[2U[*T   ${j]'<   ${e_(D   ${`aް(D   ${ɱ!Ṯ  ױ $ر*L   ${4g@l °  ${:iDid   $.\ °  $)m"|   $"|   $ҷdշ   $)L 92g  ¸ $øaD  n m m m Yڕ4ʄ  $yA  n m m m Yڕ4 ǐ  $y(e ǐhave$want$M  Provides [`Automaton`] trait for abstracting over Aho-Corasick automata. The `Automaton` trait provides a way to write generic code over any Aho-Corasick automaton. It also provides access to lower level APIs that permit walking the state transitions of an Aho-Corasick automaton manually. LM 4 H AT L ƻD , }, L ߺ$ L ӟL < Էd ! t D y   ` z|mo^` <  4 ي+ ي+ي+7 4 (  ?   |   C+  6 3 A trait that abstracts over Aho-Corasick automata.  < 9 This trait primarily exists for niche use cases such as:  ; 8 * Using an NFA or DFA directly, bypassing the top-level J G [`AhoCorasick`](crate::AhoCorasick) searcher. Currently, these include ; 8 [`noncontiguous::NFA`](crate::nfa::noncontiguous::NFA), 8 5 [`contiguous::NFA`](crate::nfa::contiguous::NFA) and "  [`dfa::DFA`](crate::dfa::DFA). J G * Implementing your own custom search routine by walking the automaton L I yourself. This might be useful for implementing search on non-contiguous  strings or streams. ? < For most use cases, it is not expected that users will need? < to use or even know about this trait. Indeed, the top levelL I [`AhoCorasick`](crate::AhoCorasick) searcher does not expose any details6 3 about this trait, nor does it implement it itself. E B Note that this trait defines a number of default methods, such asM J [`Automaton::try_find`] and [`Automaton::try_find_iter`], which implementJ G higher level search routines in terms of the lower level automata API. d # Sealed M J Currently, this trait is sealed. That means users of this crate can writeM J generic routines over this trait but cannot implement it themselves. ThisJ G restriction may be lifted in the future, but sealing the trait permitsB ? adding new required methods in a backwards compatible fashion.   # Special states L I This trait encodes a notion of "special" states in an automaton. Namely,H E a state is treated as special if it is a dead, match or start state: O L * A dead state is a state that cannot be left once entered. All transitionsN K on a dead state lead back to itself. The dead state is meant to be treatedN K as a sentinel indicating that the search should stop and return a match if. + one has been found, and nothing otherwise.G D * A match state is a state that indicates one or more patterns haveJ G matched. Depending on the [`MatchKind`] of the automaton, a search mayK H stop once a match is seen, or it may continue looking for matches until; 8 it enters a dead state or sees the end of the haystack.L I * A start state is a state that a search begins in. It is useful to knowO L when a search enters a start state because it may mean that a prefilter canM J be used to skip ahead and quickly look for candidate matches. Unlike deadM J and match states, it is never necessary to explicitly handle start statesJ G for correctness. Indeed, in this crate, implementations of `Automaton`M J will only treat start states as "special" when a prefilter is enabled andI F active. Otherwise, treating it as special has no purpose and winds upN K slowing down the overall search because it results in ping-ponging between< 9 the main state transition and the "special" state logic. F C Since checking whether a state is special by doing three different @ = checks would be too expensive inside a fast search loop, the M J [`Automaton::is_special`] method is provided for quickly checking whether!M J the state is special. The `Automaton::is_dead`, `Automaton::is_match` and"M J `Automaton::is_start` predicates can then be used to determine which kind"  of special state it is.# d# '# #I F Most of the APIs on this trait should panic or give incorrect results#K H if invalid inputs are given to it. For example, `Automaton::next_state`$G D has unspecified behavior if the state ID given to it is not a valid$F C state ID for the underlying automaton. Valid state IDs can only be%M J retrieved in one of two ways: calling `Automaton::start_state` or calling&2 / `Automaton::next_state` with a valid state ID.& d& # Safety& &D A This trait is not safe to implement so that code may rely on the'M J correctness of implementations of this trait to avoid undefined behavior.'+ ( The primary correctness guarantees are:( (M J * `Automaton::start_state` always returns a valid state ID or an error or\(  panics.(J G * `Automaton::next_state`, when given a valid state ID, always returns)J G a valid state ID for all values of `anchored` and `byte`, or otherwise\* +* *K H In general, the rest of the methods on `Automaton` need to uphold their*L I contracts as well. For example, `Automaton::is_dead` should only returns+8 5 true if the given state ID is actually a dead state.+ +O L Note that currently this crate does not rely on the safety property defined,G D here to avoid undefined behavior. Instead, this was done to make it-# _possible_ to do in the future.- l- '- -I F This example shows how one might implement a basic but correct search.L I routine. We keep things simple by not using prefilters or worrying about.N K anchored searches, but do make sure our search is correct for all possible/K H [`MatchKind`] semantics. (The comments in the code below note the parts/> ; that are needed to support certain `MatchKind` semantics.)0 <0 ӈ'0 '0  automaton::Automaton,0  nfa::noncontiguous::NFA,1/ , Anchored, Match, MatchError, MatchKind,41 '1 1O L // Run an unanchored search for 'aut' in 'haystack'. Return the first match2O L // seen according to the automaton's match semantics. This returns an error2C @ // if the given automaton does not support unanchored searches.Բ3  fn find(|3 aut: A,3  haystack: &[u8],3, ) ) -> Result, MatchError> {45 2 let mut sid = aut.start_state(Anchored::No)?;4  let mut at = 0;4  let mut mat = None;5# let get_match = |sid, at| {50 - let pid = aut.match_pattern(sid, 0);5+ ( let len = aut.pattern_len(pid);6+ ( Match::new(pid, (at - len)..at)T6 (6, ) // Start states can be match states!6  if aut.is_match(sid) {7+ ( mat = Some(get_match(sid, at));7K H // Standard semantics require matches to be reported as soon as8M J // they're seen. Otherwise, we continue until we see a dead state8* ' // or the end of the haystack.9@ = if matches!(aut.match_kind(), MatchKind::Standard) {9  return Ok(mat);l9 }L9  }9# while at < haystack.len() {:B ? sid = aut.next_state(Anchored::No, sid, haystack[at]);:$ ! if aut.is_special(sid) {;% " if aut.is_dead(sid) {;# return Ok(mat);;- * } else if aut.is_match(sid) {;7 4 mat = Some(get_match(sid, at + 1));' $ return Ok(mat);>  }>  }l> +>  at += 1;L> +|? Ok(mat),? (? ?0 - // Show that it works for standard searches.?5 2 let nfa = NFA::new(&["samwise", "sam"]).unwrap();@D A assert_eq!(Some(Match::must(1, 0..3)), find(&nfa, b"samwise")?);@ @L I // But also works when using leftmost-first. Notice how the match resultA  // has changed!A  let nfa = NFA::builder()A- ŏ'A# 'B 'BD A assert_eq!(Some(Match::must(0, 0..7)), find(&nfa, b"samwise")?);B B. ( or not in order to avoid following failure transitions. OtherKB ? implementations may ignore `anchored` altogether and depend onKJ G `Automaton::start_state` returning a state that walks a different pathLH E through the automaton depending on whether the search is anchored orDM  not.M dM 'M MK H This routine may panic or return incorrect results when the given stateN6 3 ID is invalid. A state ID is valid if and only if:N N: 7 1. It came from a call to `Automaton::start_state`, orOE B 2. It came from a previous call to `Automaton::next_state` with aO  valid state ID.O PF C Implementations must treat all possible values of `byte` as valid.P PJ G Implementations may panic on unsupported values of `anchored`, but areԢQ  not required to do so.TQ   Q  $Q mDQ {R 2$R V+ RH E Returns true if the given ID represents a "special" state. A specialS* ' state is a dead, match or start state.S SJ G Note that implementations may choose to return false when the given IDTJ G corresponds to a start state. Namely, it always correct to treat startTK H states as non-special. Implementations must return true for states thatU  are dead or contain matches.U UA > This has unspecified behavior when given an invalid state ID.TV   V  $V {V Z( V9 6 Returns true if the given ID represents a dead state.W WB ? A dead state is a type of "sink" in a finite state machine. ItWJ G corresponds to a state whose transitions all loop back to itself. ThatXG D is, once entered, it can never be left. In practice, it serves as aX9 6 sentinel indicating that the search should terminate.Y YA , Returns the length, in bytes, of the shortest pattern in thistr automaton.|r   r  $r s# rK H Returns the length, in bytes, of the longest pattern in this automaton.|s   s  $s t sD A Returns the heap memory usage, in bytes, used by this automaton.dt   t  $t x* tE B Returns a prefilter, if available, that can be used to acceleratet  searches for this automaton.u uJ G The typical way this is used is when the start state is entered duringuJ G a search. When that happens, one can use a prefilter to skip ahead andvJ G look for candidate matches without having to walk the automaton on thew  bytes between candidates.w wI F Typically a prefilter is only available when there are a small (<100)x0 - number of patterns built into the automaton.Lx  92g  x  $x za xI F Executes a non-overlapping search with this automaton using the giveny  configuration.y  `replace_with` closure given and writing the result to `wtr`.ڽ < ë,a ^ [`AhoCorasick::try_stream_replace_all_with`](crate::AhoCorasick::try_stream_replace_all_with)Ծ( ,    8<  7,  ܠ  ۭ   ο *  ,   ¿ ,, *l ,t     3 , ۭ $Ͽ { d  ԁ:    L  H \  IJ    $ mi r T      $ m: {E 2O * T      $ {% ' <      $ { ( D      $ { ( D      $ {Y ! T      $ * L      $ {@ l  °    $ {{ d      $ . \  °    $ " |      $ " |      $  d      $ ) L  92g     $  " B ? Create a new overlapping state that begins at the start state.,  ( J G Return the match result of the most recent search to execute with thisT + F C Every search will clear this result automatically, such that if no= : match is found, this will always correctly report `None`.L  À   $ .     L   13f    n m m m Yڕ4 ٳܳݳ޳߳i=2*   s y ! 4  À     $ ̓b ϓ  À     $ č  ;   ,  ,L KK  24LՖ $ږ # $  À     $ ҞF   , ߞ ,L KKמ ۞ 24L $ ͟# $П  À ՟    $ڟ R Ч  ӧ  8<ԧ ܧ 7,ާ Χ       ,L l KK NPIKL $Ĩ 4 $      $ ¿B     8<  7,    €- ˿ Ԁ- ٿ ,Lο -lܿ ǿ @BDFb  ٳܳݳ޳߳i=2*  sM{M: $  92gٳܳݳ޳߳i=2*  | ? } ? xeԠ_1    $ @ |  ׿    $ x_c        $ xI        $ D        $  L      $ } d   n m m m Yڕ4ʄ    +L sy$')    n m m m Yڕ492g ʄ  -  +LŠ syy mm:< Ĥ   n m m m Yڕ4 ǐ  -  +L sy$//1    n m m m Yڕ492g  ǐ  -  +L s6y6  7724o L    -  +L s?{??x%?13   ``` ]`{]9ֹ`  +  +L   s x 24         ( K   K       zF Y[,       H “WY:W       K-" -K  - --1-"՞-< ԁ \M  Provides direct access to a DFA implementation of Aho-Corasick. This is a low-level API that generally only needs to be used in niche circumstances. When possible, prefer using [`AhoCorasick`](crate::AhoCorasick) instead of a DFA directly. Using an `DFA` directly is typically only necessary when one needs access to the [`Automaton`] trait implementation. M  < AL +l ̖\ T T ^,  [  ӟL j  L T < ƻD L L <  D {  s e XGJ7:+*- @S D+ ,} +B ? Create a new Aho-Corasick DFA using the default configuration., ,> ; Use a [`Builder`] if you want to change the configuration.-   ӌ' - ' - '- 'D- '\- V:<?A/ .F C A convenience method for returning a new Aho-Corasick DFA builder.. /; 8 This usually permits one to just import the `DFA` type.{s x? < Build an Aho-Corasick DFA from the given noncontiguous NFA.x xA > Note that when this method is used, only the `start_kind` andyD A `byte_classes` settings on this builder are respected. The otheryG D settings only apply to the initial construction of the Aho-CorasickzI F automaton. Since using this method requires that initial constructionzK H has already completed, all settings impacting only initial construction{  are no longer relevant.{    | $| $|  ԁ      ޠ  $ߠ mD $    ԁޒȦ ԁ ֈį -k ľ       $ $   t ԁ-- ԁ- ԁ-į= $ ݗ* ; 8 This only applies when using [`Builder::build`] and not* ' [`Builder::build_from_noncontiguous`]. < ë,M J [`AhoCorasickBuilder::match_kind`](crate::AhoCorasickBuilder::match_kind)( ,T  -   $  uLC 1 * ; -* - < ë,e b [`AhoCorasickBuilder::ascii_case_insensitive`](crate::AhoCorasickBuilder::ascii_case_insensitive)( ,  -   $ O6 - * ; -* - < ë,K H [`AhoCorasickBuilder::prefilter`](crate::AhoCorasickBuilder::prefilter)( ,L  -   $ :R= < * < ë,M J [`AhoCorasickBuilder::start_kind`](crate::AhoCorasickBuilder::start_kind)( ,T  -   $  ~M9 D A A debug setting for whether to attempt to shrink the size of the * F C This should never be enabled unless you're debugging an automaton.E B Namely, disabling byte classes makes transitions easier to reasonJ G about, since they use the actual bytes instead of equivalence classes.A > Disabling this confers no performance benefit at search time. < ë,Q N [`AhoCorasickBuilder::byte_classes`](crate::AhoCorasickBuilder::byte_classes)( ,d  -   $ T \   ו   (        $ oldsid4 <   ce\M Provides direct access to NFA implementations of Aho-Corasick. The principle characteristic of an NFA in this crate is that it may transition through multiple states per byte of haystack. In Aho-Corasick parlance, NFAs follow failure transitions during a search. In contrast, a [`DFA`](crate::dfa::DFA) pre-computes all failure transitions during compilation at the expense of a much bigger memory footprint. Currently, there are two NFA implementations provided: noncontiguous and contiguous. The names reflect their internal representation, and consequently, the trade offs associated with them: * A [`noncontiguous::NFA`] uses a separate allocation for every NFA state to represent its transitions in a sparse format. This is ideal for building an NFA, since it cheaply permits different states to have a different number of transitions. A noncontiguous NFA is where the main Aho-Corasick construction algorithm is implemented. All other Aho-Corasick implementations are built by first constructing a noncontiguous NFA. * A [`contiguous::NFA`] is uses a single allocation to represent all states, while still encoding most states as sparse states but permitting states near the starting state to have a dense representation. The dense representation uses more memory, but permits computing transitions during a search more quickly. By only making the most active states dense (the states near the starting state), a contiguous NFA better balances memory usage with search speed. The single contiguous allocation also uses less overhead per state and enables compression tricks where most states only use 8 bytes of heap memory. When given the choice between these two, you almost always want to pick a contiguous NFA. It takes only a little longer to build, but both its memory usage and search speed are typically much better than a noncontiguous NFA. A noncontiguous NFA is useful when prioritizing build times, or when there are so many patterns that a contiguous NFA could not be built. (Currently, because of both memory and search speed improvements, a contiguous NFA has a smaller internal limit on the total number of NFA states it can represent. But you would likely need to have hundreds of thousands or even millions of patterns before you hit this limit.) M Provides a contiguous NFA implementation of Aho-Corasick. This is a low-level API that generally only needs to be used in niche circumstances. When possible, prefer using [`AhoCorasick`](crate::AhoCorasick) instead of a contiguous NFA directly. Using an `NFA` directly is typically only necessary when one needs access to the [`Automaton`] trait implementation. T <AL+l̖\TT^, [ [ ӟLj LT<ƻDL<DzrdWFI69+), EWD(*}(>; Create a new Aho-Corasick contiguous NFA using the default),))>-*  ӌ' *' *'*'D*'\+ R:<?A,+HE A convenience method for returning a new Aho-Corasick contiguous NFAd,ڑ*,,;8 This usually permits one to just import the `NFA` type.<- D-/$/9$9;vT>  > $>m{>2S*TS  S $S{?T'9^d^  ^ $^^<^`ԁ`)L` 92g  ` $`a`a@a  ``` ]`{]9ֹ` a $a ab%b $TD#Ǘ,     Sd old_to_newT,ĚC  ǥ  Sd D,$    $I+    ]J9L    SO'Onl °   SVVVj$    Sd D,,   ו    $-4< force_dense\ԁ-,ԁ°  ו    $-4<    ו    $-4<A\     Hd(8H “WY:W 8   2  }#g)ZS8 8K..K .8.£.3ӣ.%.<ԁ' `D  ``` ]`{]9ֹ`   $ >Ltŕԁ  < dȞ۞HE Create a new builder for configuring an Aho-Corasick contiguous NFA. C@ Build an Aho-Corasick contiguous NFA from the given iterator ofl patterns. ʠ0- A builder may be reused to create more NFAs.,    ӌ' ' '֡'D'\$m=?ACsJG Build an Aho-Corasick contiguous NFA from the given noncontiguous NFA.ˣӣB? Note that when this method is used, only the `dense_depth` andD-G-I-K-ͦ-   $$ԁ=$ݗ*Ⱦ;-*-<ë,˿M-(,T .  $ =LC1*;-*-<ë,e-(, .  $RO6-*;-*-<ë,K-(,L ѵ.  $R;I*I*<ë,OL [`AhoCorasickBuilder::dense_depth`](crate::AhoCorasickBuilder::dense_depth)(,\ ڷ.  $2S9D- *F-E-J-A-<ë,Q-(,d ݹ.  $T"<ntrans4  Provides a noncontiguous NFA implementation of Aho-Corasick. This is a low-level API that generally only needs to be used in niche circumstances. When possible, prefer using [`AhoCorasick`](crate::AhoCorasick) instead of a noncontiguous NFA directly. Using an `NFA` directly is typically only necessary when one needs access to the [`Automaton`] trait implementation. l eD D ' < AL Ҙd ̖\ T T $ e ӟL j  L T < ¹D ƻD L < H D    twdgVYFI+9L +.@ݔ [ D= >} =A > Create a new Aho-Corasick noncontiguous NFA using the default= ,= => -> ͉  ӌ' > ' > '? 'D? '\? :<?AܚA ?K H A convenience method for returning a new Aho-Corasick noncontiguous NFAd@ ڑ*@ @; - m   m $m {52>wE Ęw   w $w {W2`{ t|   | $| $| 2$|  $| t |   ٍ  $ލ $  $ n L  °  $ {  o d     $     ԁ-=      $  ԁ-̩8 \ϩ   ۩  $  ԁ->      $  ԁ-F \    »$ 2,  ԁ-ݼ H \  IJ   $ mv T     $ m{ 2* T     $ {' <     $ {( D     $ {P( D     $ {! T     $  d     $ . \  °   $ " |     $ " |     $ * L     $ {@ l  °   $ {Y"c" d     $  ԁ) L  92g    $ T % D     $ $ $     $ ( ,  խ   $ |  $     $ $ $     $ ̽ $     $ $ `@    ``` ]`{]9ֹ`   $   T ) <  °   $  $     $  `@    ``` ]`{]9ֹ`   $   ĸ  <  d  K H Create a new builder for configuring an Aho-Corasick noncontiguous NFA.   ˀF C Build an Aho-Corasick noncontiguous NFA from the given iterator ofl . 0 .,  ͉    ӌ'  '  ' 'Dɂ '\߂ $ H=?ACφ= $ ݗ* <ą ë,ЅM -( ,Tֆ  /   $  LC LJ1 * < ë,e -( ,  / Ɖ  $ˉ 3O; I *I *͋ <Ջ ë,O ӵ.( ,\  /   $ 2nS6 ڍ- * < ë,K -( ,L  /   $ Q  ߁ @    ٳܳݳ޳߳i=2*߁   < ̙ <ϙ ߁͉  ' י  ڙ J JD \ǚ  $ ouwpr T  ߁    '  /  / /D /\  $ ]MOQS ԁ ԁ@ ļ  ߁ ՠ   $ڠ  <  ߁    $ / <  ߁    $ ! T  ߁    $ ˌC Ό  ߁    $ @ ĭ  ߁ Ƒ   $ˑ -   ߁    $ 1 #  ߁ ħ   $ɧ ;   ߁    $ t ׵ ,ڵ  ڶ 4ݶ  ' 4     $ state_idD - D     $ /D ӻ `D    ``` ]`{]9ֹ`   $   ʼx    L  ԁ tM!! Provides packed multiple substring search, principally for a small number of patterns. This sub-module provides vectorized routines for quickly finding matches of a small number of patterns. In general, users of this crate shouldn't need to interface with this module directly, as the primary [`AhoCorasick`](crate::AhoCorasick) searcher will use these routines automatically as a prefilter when applicable. However, in some cases, callers may want to bypass the Aho-Corasick machinery entirely and use this vectorized searcher directly. # Overview The primary types in this sub-module are: * [`Searcher`] executes the actual search algorithm to report matches in a haystack. * [`Builder`] accumulates patterns incrementally and can construct a `Searcher`. * [`Config`] permits tuning the searcher, and itself will produce a `Builder` (which can then be used to build a `Searcher`). Currently, the only tuneable knob are the match semantics, but this may be expanded in the future. # Examples This example shows how to create a searcher from an iterator of patterns. By default, leftmost-first match semantics are used. (See the top-level [`MatchKind`] type for more details about match semantics, which apply similarly to packed substring search.) ``` use aho_corasick::{packed::{MatchKind, Searcher}, PatternID}; # fn example() -> Option<()> { let searcher = Searcher::new(["foobar", "foo"].iter().cloned())?; let matches: Vec = searcher .find_iter("foobar") .map(|mat| mat.pattern()) .collect(); assert_eq!(vec![PatternID::ZERO], matches); # Some(()) } # if cfg!(all(feature = "std", any( # target_arch = "x86_64", target_arch = "aarch64", # ))) { # example().unwrap() # } else { # assert!(example().is_none()); # } ``` This example shows how to use [`Config`] to change the match semantics to leftmost-longest: ``` use aho_corasick::{packed::{Config, MatchKind}, PatternID}; # fn example() -> Option<()> { let searcher = Config::new() .match_kind(MatchKind::LeftmostLongest) .builder() .add("foo") .add("foobar") .build()?; let matches: Vec = searcher .find_iter("foobar") .map(|mat| mat.pattern()) .collect(); assert_eq!(vec![PatternID::must(1)], matches); # Some(()) } # if cfg!(all(feature = "std", any( # target_arch = "x86_64", target_arch = "aarch64", # ))) { # example().unwrap() # } else { # assert!(example().is_none()); # } ``` # Packed substring searching Packed substring searching refers to the use of SIMD (Single Instruction, Multiple Data) to accelerate the detection of matches in a haystack. Unlike conventional algorithms, such as Aho-Corasick, SIMD algorithms for substring search tend to do better with a small number of patterns, where as Aho-Corasick generally maintains reasonably consistent performance regardless of the number of patterns you give it. Because of this, the vectorized searcher in this sub-module cannot be used as a general purpose searcher, since building the searcher may fail even when given a small number of patterns. However, in exchange, when searching for a small number of patterns, searching can be quite a bit faster than Aho-Corasick (sometimes by an order of magnitude). The key take away here is that constructing a searcher from a list of patterns is a fallible operation with no clear rules for when it will fail. While the precise conditions under which building a searcher can fail is specifically an implementation detail, here are some common reasons: * Too many patterns were given. Typically, the limit is on the order of 100 or so, but this limit may fluctuate based on available CPU features. * The available packed algorithms require CPU features that aren't available. For example, currently, this crate only provides packed algorithms for `x86_64` and `aarch64`. Therefore, constructing a packed searcher on any other target will always fail. * Zero patterns were given, or one of the patterns given was empty. Packed searchers require at least one pattern and that all patterns are non-empty. * Something else about the nature of the patterns (typically based on heuristics) suggests that a packed searcher would perform very poorly, so no searcher is built. 4M~=HE Create a new builder for constructing a multi-pattern searcher. This=/, constructor uses the default configuration.>ԅ >)\>ԅ ;E@'?DA Build a searcher from the patterns added to this builder so far.,@ ԅ @$@KI\K ԅ92ǧ K $KDKRAN/, Add the given pattern to this set to match.NNFC The order in which patterns are added is significant. Namely, whenOIF using leftmost-first match semantics, then when multiple patterns canOGD match at a particular location, the pattern that was added first isP used as the match.PPJG If the number of patterns added exceeds the amount supported by packedQJG searchers, then the builder will stop accumulating patterns and renderQKH itself inert. At this point, constructing a searcher will always return\R `None`.R ԅ/  R R\R $R302\W<9 Add the given iterator of patterns to this set to match.XXJG The iterator must yield elements that can be converted into a `&[u8]`.XXF/YI/ZG/Z/ZZJ/[J/\K/\\/4\ ԅ/   ]ӌ' ]' ]']'D]'\]$]79<>Ԏ_^96 Returns the number of patterns added to this builder._ ԅ _ $_`"_@= Returns the length, in bytes, of the shortest pattern added.\` ԅ ` $``ԅa use aho_corasick::{packed::{MatchKind, Searcher}, PatternID};oo" # fn example() -> Option<()> {oEB let searcher = Searcher::new(["foobar", "foo"].iter().cloned())?;p*' let matches: Vec = searcherp .find_iter("foobar")p!'q'q/, assert_eq!(vec![PatternID::ZERO], matches);q # Some(()) }r'$ # if cfg!(all(feature = "std", any(r:7 # target_arch = "x86_64", target_arch = "aarch64",\r # ))) {r # example().unwrap()ts # } else {s'$ # assert!(example().is_none());oI И ؘ'\ $n>@Ԙ24&Ԛ85 Returns the match kind used by this packed searcher.t''ɛ<ћӈ'ݛ41 use aho_corasick::packed::{MatchKind, Searcher};"/ŜE/%" // leftmost-first is the default.A> assert_eq!(&MatchKind::LeftmostFirst, searcher.match_kind());/'/:/\/䏟/t/ß'/</<ӈ'T    $ݥ"JG Returns the minimum length of a haystack that is required in order for%" packed searching to be effective.KH In some cases, the underlying packed searcher may not be able to searchIF very short haystacks. When that occurs, the implementation will deferIF to a slower non-packed searcher (which is still generally faster than٣FC Aho-Corasick for a small number of patterns). 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vpadd_s32MR vpadd_u8ER  vpadd_u16MR  vpadd_u32MR  vpaddl_s8MR  vpaddlq_s8UR  vpaddl_s16UR  vpaddlq_s16]R  vpaddl_s32UR  vpaddlq_s32]R  vpaddl_u8MS  vpaddlq_u8US  vpaddl_u16US  vpaddlq_u16]S  vpaddl_u32UʨS  vpaddlq_u32]S  vpmax_f32MιS vpmax_s8ES  vpmax_s16MS  vpmax_s32MS vpmax_u8ES  vpmax_u16MS  vpmax_u32MS  vpmin_f32MS vpmin_s8ES  vpmin_s16MT  vpmin_s32MގT vpmin_u8ET  vpmin_u16MڟT  vpmin_u32MT vqabs_s8ET  vqabsq_s8MT  vqabs_s16MT  vqabsq_s16UT  vqabs_s32MT  vqabsq_s32UT vqadd_s8ET  vqaddq_s8MT  vqadd_s16MT  vqaddq_s16UT  vqadd_s32MT  vqaddq_s32UT  vqadd_s64MU  vqaddq_s64UU vqadd_u8EU  vqaddq_u8MU  vqadd_u16MӜU  vqaddq_u16UU  vqadd_u32MU  vqaddq_u32UU  vqadd_u64MU  vqaddq_u64UU vqdmlal_lane_s16U vqdmlal_lane_s32U  vqdmlal_n_s16mU  vqdmlal_n_s32mU  vqdmlal_s16]U  vqdmlal_s32]U vqdmlsl_lane_s16U vqdmlsl_lane_s32U  vqdmlsl_n_s16mU  vqdmlsl_n_s32mU  vqdmlsl_s16]ʂV  vqdmlsl_s32]V vqdmulh_laneq_s16V vqdmulhq_laneq_s16V vqdmulh_laneq_s32V vqdmulhq_laneq_s32V  vqdmulh_n_s16mV vqdmulhq_n_s16uβV  vqdmulh_n_s32mV vqdmulhq_n_s32uV  vqdmulh_s16]V  vqdmulhq_s16eV  vqdmulh_s32]V  vqdmulhq_s32eV vqdmull_lane_s16V vqdmull_lane_s32V  vqdmull_n_s16mV  vqdmull_n_s32mV  vqdmull_s16]W  vqdmull_s32]ҌW  vqmovn_s16UW  vqmovn_s32UW  vqmovn_s64UW  vqmovn_u16UW  vqmovn_u32UW  vqmovn_u64UW  vqmovun_s16]W  vqmovun_s32]W  vqmovun_s64]W vqneg_s8EW  vqnegq_s8MW  vqneg_s16MW  vqnegq_s16UW  vqneg_s32MX  vqnegq_s32UƉX vqrdmulh_lane_s16ȒX vqrdmulh_lane_s32ӚX vqrdmulh_laneq_s16X vqrdmulh_laneq_s32ƪX vqrdmulhq_lane_s16X vqrdmulhq_lane_s32X vqrdmulhq_laneq_s16X vqrdmulhq_laneq_s32X vqrdmulh_n_s16uX vqrdmulhq_n_s16}X vqrdmulh_n_s32uX vqrdmulhq_n_s32}X  vqrdmulh_s16eX  vqrdmulhq_s16mX  vqrdmulh_s32èY  vqrdmulhq_s32mĉY  vqrshl_s8MY  vqrshlq_s8UY  vqrshl_s16UY  vqrshlq_s16]Y  vqrshl_s32UѴY  vqrshlq_s32]Y  vqrshl_s64UY  vqrshlq_s64]Y  vqrshl_u8MY  vqrshlq_u8UY  vqrshl_u16UY  vqrshlq_u16]Y  vqrshl_u32UY  vqrshlq_u32]Z  vqrshl_u64U‹Z  vqrshlq_u64]Z  vqrshrn_n_s16m߬Z  vqrshrn_n_s32mZ  vqrshrn_n_s64mZ  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vqsub_u32M_  vqsubq_u32U_  vqsub_u64M_  vqsubq_u64U_ vraddhn_high_s16_ vraddhn_high_s32_ vraddhn_high_s64_ vraddhn_high_u16_ vraddhn_high_u32_ vraddhn_high_u64_  vraddhn_s16]_  vraddhn_s32]_  vraddhn_s64]_  vraddhn_u16]_  vraddhn_u32]Հ`  vraddhn_u64]`  vrecpe_f16U`  vrecpeq_f16]`  vrecpe_f32Uɬ`  vrecpeq_f32]`  vrecpe_u32U`  vrecpeq_u32]`  vrecps_f16U`  vrecpsq_f16]`  vrecps_f32U`  vrecpsq_f32]` vreinterpret_f32_f16` vreinterpret_s8_f16` vreinterpret_s16_f16Յa vreinterpret_s32_f16a vreinterpret_s64_f16a vreinterpret_u8_f16a vreinterpret_u16_f16a vreinterpret_u32_f16Կa vreinterpret_u64_f16a vreinterpret_p8_f16a vreinterpret_p16_f16a vreinterpretq_f32_f16a vreinterpretq_s8_f16a vreinterpretq_s16_f16b vreinterpretq_s32_f16b vreinterpretq_s64_f16b vreinterpretq_u8_f16b vreinterpretq_u16_f16ƶb vreinterpretq_u32_f16b vreinterpretq_u64_f16b vreinterpretq_p8_f16b vreinterpretq_p16_f16b vreinterpret_f16_f32b vreinterpretq_f16_f32b vreinterpret_f16_s8c vreinterpretq_f16_s8c vreinterpret_f16_s16c vreinterpretq_f16_s16c vreinterpret_f16_s32c vreinterpretq_f16_s32c vreinterpret_f16_s64c vreinterpretq_f16_s64c vreinterpret_f16_u8c vreinterpretq_f16_u8c vreinterpret_f16_u16Հd vreinterpretq_f16_u16d vreinterpret_f16_u32d vreinterpretq_f16_u32d vreinterpret_f16_u64d vreinterpretq_f16_u64d vreinterpret_f16_p8d vreinterpretq_f16_p8d vreinterpret_f16_p16d vreinterpretq_f16_p16d vreinterpretq_f16_p128d vreinterpret_p64_f16e vreinterpretq_p128_f16e vreinterpretq_p64_f16e vreinterpret_f16_p64e vreinterpretq_f16_p64e vreinterpretq_f32_p128e vreinterpret_s8_f32e vreinterpret_s16_f32e vreinterpret_s32_f32e vreinterpret_s64_f32e vreinterpret_u8_f32e vreinterpret_u16_f32Ëf vreinterpret_u32_f32f vreinterpret_u64_f32f vreinterpret_p8_f32f vreinterpret_p16_f32f vreinterpretq_p128_f32f vreinterpretq_s8_f32f vreinterpretq_s16_f32f vreinterpretq_s32_f32f vreinterpretq_s64_f32g vreinterpretq_u8_f32g vreinterpretq_u16_f32g vreinterpretq_u32_f32ѭg vreinterpretq_u64_f32g vreinterpretq_p8_f32g vreinterpretq_p16_f32g vreinterpret_f32_s8g vreinterpret_s16_s8g vreinterpret_s32_s8g vreinterpret_s64_s8h vreinterpret_u8_s8ޙh vreinterpret_u16_s8h vreinterpret_u32_s8h vreinterpret_u64_s8h vreinterpret_p8_s8h vreinterpret_p16_s8h vreinterpretq_f32_s8h vreinterpretq_s16_s8h vreinterpretq_s32_s8i vreinterpretq_s64_s8i vreinterpretq_u8_s8Ρi vreinterpretq_u16_s8i vreinterpretq_u32_s8i vreinterpretq_u64_s8i vreinterpretq_p8_s8i vreinterpretq_p16_s8i vreinterpret_f32_s16i vreinterpret_s8_s16܃j vreinterpret_s32_s16j vreinterpret_s64_s16Оj vreinterpret_u8_s16j vreinterpret_u16_s16j vreinterpret_u32_s16j vreinterpret_u64_s16j vreinterpret_p8_s16j vreinterpret_p16_s16j vreinterpretq_f32_s16j vreinterpretq_s8_s16k vreinterpretq_s32_s16k vreinterpretq_s64_s16k vreinterpretq_u8_s16k vreinterpretq_u16_s16k vreinterpretq_u32_s16k vreinterpretq_u64_s16k vreinterpretq_p8_s16k vreinterpretq_p16_s16k vreinterpret_f32_s32Džl vreinterpret_s8_s32l vreinterpret_s16_s32l vreinterpret_s64_s32l vreinterpret_u8_s32l vreinterpret_u16_s32l vreinterpret_u32_s32l vreinterpret_u64_s32l vreinterpret_p8_s32l vreinterpret_p16_s32l vreinterpretq_f32_s32m vreinterpretq_s8_s32m vreinterpretq_s16_s32m vreinterpretq_s64_s32ҳm vreinterpretq_u8_s32m vreinterpretq_u16_s32m vreinterpretq_u32_s32m vreinterpretq_u64_s32m vreinterpretq_p8_s32m vreinterpretq_p16_s32n vreinterpret_f32_s64ɓn vreinterpret_s8_s64n vreinterpret_s16_s64n vreinterpret_s32_s64n vreinterpret_u8_s64n vreinterpret_u16_s64n vreinterpret_u32_s64n vreinterpret_u64_s64n vreinterpret_p8_s64n vreinterpret_p16_s64o vreinterpretq_f32_s64o vreinterpretq_s8_s64o vreinterpretq_s16_s64o vreinterpretq_s32_s64o vreinterpretq_u8_s64o vreinterpretq_u16_s64o vreinterpretq_u32_s64o vreinterpretq_u64_s64o vreinterpretq_p8_s64o vreinterpretq_p16_s64p vreinterpret_f32_u8ǖp vreinterpret_s8_u8p vreinterpret_s16_u8бp vreinterpret_s32_u8p vreinterpret_s64_u8p vreinterpret_u16_u8p vreinterpret_u32_u8p vreinterpret_u64_u8p vreinterpret_p8_u8q vreinterpret_p16_u8q vreinterpretq_f32_u8q vreinterpretq_s8_u8q vreinterpretq_s16_u8q vreinterpretq_s32_u8q vreinterpretq_s64_u8q vreinterpretq_u16_u8q vreinterpretq_u32_u8q vreinterpretq_u64_u8q vreinterpretq_p8_u8r vreinterpretq_p16_u8ݚr vreinterpret_f32_u16ۨr vreinterpret_s8_u16r vreinterpret_s16_u16r vreinterpret_s32_u16r vreinterpret_s64_u16r vreinterpret_u8_u16r vreinterpret_u32_u16r vreinterpret_u64_u16s vreinterpret_p8_u16s vreinterpret_p16_u16֠s vreinterpretq_f32_u16s vreinterpretq_s8_u16s vreinterpretq_s16_u16s vreinterpretq_s32_u16s vreinterpretq_s64_u16s vreinterpretq_u8_u16s vreinterpretq_u32_u16t vreinterpretq_u64_u16t vreinterpretq_p8_u16t vreinterpretq_p16_u16ڪt vreinterpret_f32_u32t vreinterpret_s8_u32t vreinterpret_s16_u32t vreinterpret_s32_u32t vreinterpret_s64_u32t vreinterpret_u8_u32t vreinterpret_u16_u32u vreinterpret_u64_u32u vreinterpret_p8_u32u vreinterpret_p16_u32u vreinterpretq_f32_u32u vreinterpretq_s8_u32u vreinterpretq_s16_u32u vreinterpretq_s32_u32u vreinterpretq_s64_u32u vreinterpretq_u8_u32߁v vreinterpretq_u16_u32v vreinterpretq_u64_u32ȝv vreinterpretq_p8_u32v vreinterpretq_p16_u32v vreinterpret_f32_u64v vreinterpret_s8_u64v vreinterpret_s16_u64v vreinterpret_s32_u64v vreinterpret_s64_u64v vreinterpret_u8_u64w vreinterpret_u16_u64w vreinterpret_u32_u64w vreinterpret_p8_u64w vreinterpret_p16_u64w vreinterpretq_f32_u64w vreinterpretq_s8_u64w vreinterpretq_s16_u64w vreinterpretq_s32_u64w vreinterpretq_s64_u64w vreinterpretq_u8_u64x vreinterpretq_u16_u64x vreinterpretq_u32_u64x vreinterpretq_p8_u64x vreinterpretq_p16_u64мx vreinterpret_f32_p8x vreinterpret_s8_p8x vreinterpret_s16_p8x vreinterpret_s32_p8x vreinterpret_s64_p8y vreinterpret_u8_p8y vreinterpret_u16_p8Ϛy vreinterpret_u32_p8y vreinterpret_u64_p8ӵy vreinterpret_p16_p8y vreinterpretq_f32_p8y vreinterpretq_s8_p8y vreinterpretq_s16_p8y vreinterpretq_s32_p8y vreinterpretq_s64_p8z vreinterpretq_u8_p8z vreinterpretq_u16_p8Ҥz vreinterpretq_u32_p8вz vreinterpretq_u64_p8z vreinterpretq_p16_p8z vreinterpret_f32_p16z vreinterpret_s8_p16z vreinterpret_s16_p16z vreinterpret_s32_p16{ vreinterpret_s64_p16{ vreinterpret_u8_p16{ vreinterpret_u16_p16Ŭ{ vreinterpret_u32_p16{ vreinterpret_u64_p16{ vreinterpret_p8_p16{ vreinterpretq_f32_p16{ vreinterpretq_s8_p16{ vreinterpretq_s16_p16{ vreinterpretq_s32_p16| vreinterpretq_s64_p16| vreinterpretq_u8_p16Ȧ| vreinterpretq_u16_p16| vreinterpretq_u32_p16| vreinterpretq_u64_p16| vreinterpretq_p8_p16| vreinterpretq_s8_p128| vreinterpretq_s16_p128| vreinterpretq_s32_p128} vreinterpretq_s64_p128ݓ} vreinterpretq_u8_p128Ѡ} vreinterpretq_u16_p128} vreinterpretq_u32_p128} vreinterpretq_u64_p128} vreinterpretq_p8_p128} vreinterpretq_p16_p128} vreinterpretq_p64_p128} vreinterpret_p64_s8} vreinterpretq_p128_s8~ vreinterpretq_p64_s8~ vreinterpret_p64_s16~ vreinterpretq_p128_s16б~ vreinterpretq_p64_s16~ vreinterpret_p64_s32~ vreinterpretq_p128_s32~ vreinterpretq_p64_s32~ vreinterpretq_p128_s64~ vreinterpret_p64_u8~ vreinterpretq_p128_u8 vreinterpretq_p64_u8 vreinterpret_p64_u16 vreinterpretq_p128_u16ڴ vreinterpretq_p64_u16 vreinterpret_p64_u32 vreinterpretq_p128_u32 vreinterpretq_p64_u32 vreinterpretq_p128_u64 vreinterpret_p64_p8 vreinterpretq_p128_p8 vreinterpretq_p64_p8 vreinterpret_p64_p16 vreinterpretq_p128_p16 vreinterpretq_p64_p16Ā vreinterpret_s8_p64Ҁ vreinterpret_s16_p64߀ vreinterpret_s32_p64 vreinterpret_u8_p64 vreinterpret_u16_p64 vreinterpret_u32_p64 vreinterpret_p8_p64 vreinterpret_p16_p64 vreinterpretq_p128_p64ź vreinterpretq_s8_p64ǁ vreinterpretq_s16_p64Ձ vreinterpretq_s32_p64 vreinterpretq_u8_p64 vreinterpretq_u16_p64 vreinterpretq_u32_p64 vreinterpretq_p8_p64 vreinterpretq_p16_p64  vrev16_p8Mε  vrev16_s8Mٻ  vrev16_u8M  vrev16q_p8Uǂ  vrev16q_s8U΂  vrev16q_u8UԂ  vrev32_p16Uڂ  vrev32_p8M  vrev32_s16U  vrev32_s8M  vrev32_u16U  vrev32_u8M  vrev32q_p16]  vrev32q_p8U  vrev32q_s16]݋  vrev32q_s8U둃  vrev32q_u16]  vrev32q_u8U  vrev64_f32U֤  vrev64_p16U֪  vrev64_p8Mذ  vrev64_s16U嶃  vrev64_s32U缃  vrev64_s8Mƒ  vrev64_u16Uȃ  vrev64_u32U΃  vrev64_u8Mԃ  vrev64q_f32]ڃ  vrev64q_p16]  vrev64q_p8U  vrev64q_s16]  vrev64q_s32]  vrev64q_s8U  vrev64q_u16]  vrev64q_u32]  vrev64q_u8U  vrev64_f16Uɑ  vrev64q_f16]Ֆ  vrhadd_s8Mќ  vrhaddq_s8U  vrhadd_s16Uɭ  vrhaddq_s16]  vrhadd_s32UѾ  vrhaddq_s32]DŽ  vrhadd_u8Mτ  vrhaddq_u8U؄  vrhadd_u16U  vrhaddq_u16]  vrhadd_u32U  vrhaddq_u32]  vrndn_f16M  vrndnq_f16Uى  vrndn_f32M瑅  vrndnq_f32U vrshl_s8Eѡ  vrshlq_s8M  vrshl_s16M  vrshlq_s16U  vrshl_s32MÅ  vrshlq_s32U˅  vrshl_s64Mԅ  vrshlq_s64U܅ vrshl_u8E  vrshlq_u8M  vrshl_u16M  vrshlq_u16U  vrshl_u32M  vrshlq_u32U  vrshl_u64M  vrshlq_u64U  vrshr_n_s8U  vrshrq_n_s8]  vrshr_n_s16]  vrshrq_n_s16eƽ  vrshr_n_s32]Ć  vrshrq_n_s32eʆ  vrshr_n_s64]ц  vrshrq_n_s64e׆  vrshr_n_u8Uކ  vrshrq_n_u8]  vrshr_n_u16]  vrshrq_n_u16e  vrshr_n_u32]  vrshrq_n_u32e  vrshr_n_u64]  vrshrq_n_u64eЌ  vrshrn_n_s16e  vrshrn_n_s32e  vrshrn_n_s64e  vrshrn_n_u16e  vrshrn_n_u32e  vrshrn_n_u64eÇ  vrsqrte_f16]ɇ  vrsqrteq_f16eч  vrsqrte_f32]ه  vrsqrteq_f32e  vrsqrte_u32]  vrsqrteq_u32e  vrsqrts_f16]  vrsqrtsq_f16eĂ  vrsqrts_f32]  vrsqrtsq_f32e  vrsra_n_s8U  vrsraq_n_s8]  vrsra_n_s16]  vrsraq_n_s16e챈  vrsra_n_s32]ݸ  vrsraq_n_s32eͿ  vrsra_n_s64]ƈ  vrsraq_n_s64e͈  vrsra_n_u8UԈ  vrsraq_n_u8]ۈ  vrsra_n_u16]  vrsraq_n_u16e  vrsra_n_u32]  vrsraq_n_u32e  vrsra_n_u64]  vrsraq_n_u64ē  vrsubhn_s16]  vrsubhn_s32]  vrsubhn_s64]  vrsubhn_u16]  vrsubhn_u32]  vrsubhn_u64]É  vset_lane_f16mщ vsetq_lane_f16u׉  vset_lane_f32mމ vsetq_lane_f32u  vset_lane_s8e  vsetq_lane_s8m  vset_lane_s16m vsetq_lane_s16u  vset_lane_s32m vsetq_lane_s32u뎊 vsetq_lane_s64u啊  vset_lane_u8eݜ  vsetq_lane_u8mӣ  vset_lane_u16m̪ vsetq_lane_u16uDZ  vset_lane_u32m¸ vsetq_lane_u32u vsetq_lane_u64uƊ  vset_lane_p8e͊  vsetq_lane_p8mԊ  vset_lane_p16mۊ vsetq_lane_p16u  vset_lane_p64m  vset_lane_s64m  vset_lane_u64m vsetq_lane_p64u  vsha1cq_u32]  vsha1h_u32U  vsha1mq_u32]ђ  vsha1pq_u32]ݚ  vsha1su0q_u32m  vsha1su1q_u32m vsha256h2q_u32u  vsha256hq_u32m vsha256su0q_u32}ċ vsha256su1q_u32}͋  vshl_n_s8M  vshlq_n_s8Ü  vshl_n_s16U  vshlq_n_s16]  vshl_n_s32U  vshlq_n_s32]  vshl_n_s64Uꨌ  vshlq_n_s64]  vshl_n_u8Mܵ  vshlq_n_u8U  vshl_n_u16UŒ  vshlq_n_u16]Ɍ  vshl_n_u32Uό  vshlq_n_u32]Ռ  vshl_n_u64U܌  vshlq_n_u64] vshl_s8= vshlq_s8E vshl_s16E  vshlq_s16M vshl_s32E  vshlq_s32Mג vshl_s64E  vshlq_s64M vshl_u8=્ vshlq_u8E vshl_u16E  vshlq_u16Mč vshl_u32E͍  vshlq_u32MՍ vshl_u64Eލ  vshlq_u64M  vshll_n_s16]  vshll_n_s32]  vshll_n_s8U  vshll_n_u16]  vshll_n_u32]  vshll_n_u8U  vshr_n_s8MǗ  vshrq_n_s8U  vshr_n_s16U  vshrq_n_s16]  vshr_n_s32U  vshrq_n_s32]  vshr_n_s64U  vshrq_n_s64]ǎ  vshr_n_u8MΎ  vshrq_n_u8UՎ  vshr_n_u16Uݎ  vshrq_n_u16]  vshr_n_u32U  vshrq_n_u32]  vshr_n_u64U  vshrq_n_u64]  vshrn_n_s16]ֈ  vshrn_n_s32]  vshrn_n_s64]  vshrn_n_u16]ߜ  vshrn_n_u32]  vshrn_n_u64]  vsra_n_s8M͕  vsraq_n_s8U  vsra_n_s16U  vsraq_n_s16]꩐  vsra_n_s32UͰ  vsraq_n_s32]  vsra_n_s64U  vsraq_n_s64]Đ  vsra_n_u8Mː  vsraq_n_u8UҐ  vsra_n_u16Uِ  vsraq_n_u16]  vsra_n_u32U  vsraq_n_u32]  vsra_n_u64U  vsraq_n_u64]  vst1_f16_x2]  vst1q_f16_x2e鄒  vst1_f16_x3]٘  vst1q_f16_x3e  vst1_f16_x4]  vst1q_f16_x4e  vst1_f32_x2]ғ  vst1q_f32_x2eؓ  vst1_f32_x3]ޓ  vst1q_f32_x3e  vst1_f32_x4]  vst1q_f32_x4e  vst1_lane_f16m눔 vst1q_lane_f16uǏ  vst1_lane_f32m vst1q_lane_f32uប  vst1_lane_s8e  vst1q_lane_s8m  vst1_lane_s16m vst1q_lane_s16u  vst1_lane_s32mĔ vst1q_lane_s32u̔ vst1q_lane_s64uӔ  vst1_lane_u8e۔  vst1q_lane_u8m  vst1_lane_u16m vst1q_lane_u16u  vst1_lane_u32m vst1q_lane_u32u vst1q_lane_u64u  vst1_lane_p8e  vst1q_lane_p8m  vst1_lane_p16mԟ vst1q_lane_p16u  vst1_lane_p64m  vst1_lane_s64m  vst1_lane_u64m  vst1_p64_x2]ŕ  vst1_p64_x3]˕  vst1_p64_x4]ҕ  vst1q_p64_x2eٕ  vst1q_p64_x3e  vst1q_p64_x4e  vst1_s8_x2U  vst1q_s8_x2]  vst1_s16_x2]  vst1q_s16_x2e  vst1_s32_x2]ރ  vst1q_s32_x2e  vst1_s64_x2]  vst1q_s64_x2e  vst1_s8_x3Uʖ  vst1q_s8_x3]Ж  vst1_s16_x3]֖  vst1q_s16_x3eݖ  vst1_s32_x3]  vst1q_s32_x3e  vst1_s64_x3]  vst1q_s64_x3e  vst1_s8_x4U  vst1q_s8_x4]  vst1_s16_x4]޸  vst1q_s16_x4e  vst1_s32_x4]ŗ  vst1q_s32_x4e̗  vst1_s64_x4]җ  vst1q_s64_x4eٗ  vst1_u8_x2U  vst1_u8_x3U  vst1_u8_x4UꟘ  vst1q_u8_x2]Ħ  vst1q_u8_x3]  vst1q_u8_x4]  vst1_u16_x2]ۺ  vst1_u16_x3]  vst1_u16_x4]Ș  vst1q_u16_x2eΘ  vst1q_u16_x3e՘  vst1q_u16_x4eܘ  vst1_u32_x2]  vst1_u32_x3]  vst1_u32_x4]  vst1q_u32_x2e  vst1q_u32_x3e  vst1q_u32_x4e  vst1_u64_x2]Ջ  vst1_u64_x3]  vst1_u64_x4]  vst1q_u64_x2e  vst1q_u64_x3eѦ  vst1q_u64_x4e  vst1_p8_x2U  vst1_p8_x3U꺙  vst1_p8_x4U  vst1q_p8_x2]ș  vst1q_p8_x3]Ι  vst1q_p8_x4]ՙ  vst1_p16_x2]ܙ  vst1_p16_x3]  vst1_p16_x4]  vst1q_p16_x2e  vst1q_p16_x3e  vst1q_p16_x4e vst1q_lane_p64uԚ vst2_f16Eٚ  vst2q_f16Mߚ vst2_f32E  vst2q_f32M vst2_s8= vst2q_s8E vst2_s16E  vst2q_s16M쏛 vst2_s32Eᕛ  vst2q_s32Mԛ  vst2_lane_f16mΛ vst2q_lane_f16u֛  vst2_lane_f32m vst2q_lane_f32u  vst2_lane_s8e  vst2_lane_s16m vst2q_lane_s16u  vst2_lane_s32m vst2q_lane_s32u  vst2_lane_u8eΜ  vst2_lane_u16m՜ vst2q_lane_u16uݜ  vst2_lane_u32m vst2q_lane_u32u  vst2_lane_p8e  vst2_lane_p16m vst2q_lane_p16u vst2_p64E vst2_s64E֓ vst2_u64E vst2_u8=Ƣ vst2q_u8E vst2_u16E  vst2q_u16M vst2_u32E  vst2q_u32M vst2_p8=ɝ vst2q_p8Eϝ vst2_p16E֝  vst2q_p16Mܝ vst3_f16E  vst3q_f16M vst3_f32Ę  vst3q_f32Mܮ vst3_s8= vst3q_s8E뺞 vst3_s16E  vst3q_s16Mƞ vst3_s32E͞  vst3q_s32MӞ  vst3_lane_f16m vst3q_lane_f16u  vst3_lane_f32m笟 vst3q_lane_f32u  vst3_lane_s8e  vst3_lane_s16mŸ vst3q_lane_s16uɟ  vst3_lane_s32mП vst3q_lane_s32u؟  vst3_lane_u8e  vst3_lane_u16m vst3q_lane_u16u  vst3_lane_u32m vst3q_lane_u32u  vst3_lane_p8e‡  vst3_lane_p16m vst3q_lane_p16uǖ vst3_p64E՝ vst3_s64Eѡ vst3_u64E vst3_u8= vst3q_u8E vst3_u16Eà  vst3q_u16Mɠ vst3_u32EР  vst3q_u32M֠ vst3_p8=ݠ vst3q_p8E vst3_p16E  vst3q_p16M vst4_f16E߃  vst4q_f16M vst4_f32Eġ  vst4q_f32Mʡ vst4_s8=С vst4q_s8E֡ vst4_s16Eݡ  vst4q_s16M vst4_s32E  vst4q_s32M  vst4_lane_f16m͇ vst4q_lane_f16u  vst4_lane_f32m͢ vst4q_lane_f32u֢  vst4_lane_s8eޢ  vst4_lane_s16m vst4q_lane_s16u  vst4_lane_s32m vst4q_lane_s32u  vst4_lane_u8e  vst4_lane_u16m vst4q_lane_u16u  vst4_lane_u32m vst4q_lane_u32u  vst4_lane_p8eĭ  vst4_lane_p16m vst4q_lane_p16uǼ vst4_p64Eã vst4_s64EΣ vst4_u64E֣ vst4_u8=ݣ vst4q_u8E vst4_u16E  vst4q_u16M vst4_u32E  vst4q_u32M vst4_p8= vst4q_p8EԊ vst4_p16E  vst4q_p16MЗ  vstrq_p128U vsub_f16Eâ  vsubq_f16M vsub_f32E  vsubq_f32M㲤 vsub_s16E  vsubq_s16M vsub_u16Eä  vsubq_u16Mɤ vsub_s32EϤ  vsubq_s32MԤ vsub_u32Eڤ  vsubq_u32M vsub_s64E  vsubq_s64M vsub_u64E  vsubq_u64M vsub_s8= vsubq_s8E vsub_u8=܇ vsubq_u8E vsubhn_high_s16} vsubhn_high_s32} vsubhn_high_s64}Ӡ vsubhn_high_u16} vsubhn_high_u32} vsubhn_high_u64}Ѵ  vsubhn_s16U  vsubhn_s32U  vsubhn_s64Uȥ  vsubhn_u16UΥ  vsubhn_u32Uե  vsubhn_u64Uۥ vsubl_s8E  vsubl_s16M  vsubl_s32M vsubl_u8E  vsubl_u16M  vsubl_u32M vsubw_s8E툦  vsubw_s16MԎ  vsubw_s32M vsubw_u8E  vsubw_u16M  vsubw_u32M vsudot_lane_s32}׬ vsudotq_lane_s32 vtrn_f16Eب  vtrnq_f16Mߨ vtrn_f32E vtrn_s32E vtrn_u32E  vtrnq_f32M vtrn_s8= vtrnq_s8E vtrn_s16E  vtrnq_s16MŞ  vtrnq_s32M vtrn_u8= vtrnq_u8E vtrn_u16E  vtrnq_u16MƩ  vtrnq_u32MΩ vtrn_p8=֩ vtrnq_p8Eީ vtrn_p16E  vtrnq_p16M vtst_s8= vtstq_s8E vtst_s16E  vtstq_s16M vtst_s32E  vtstq_s32Mژ vtst_p8= vtstq_p8E vtst_p16E  vtstq_p16M vtst_u8= vtstq_u8E vtst_u16EȪ  vtstq_u16MϪ vtst_u32E֪  vtstq_u32Mݪ vusdot_lane_s32} vusdotq_lane_s32  vusdot_s32U  vusdotq_s32]  vusmmlaq_s32eć vuzp_f16E  vuzpq_f16M vuzp_f32E vuzp_s32EѦ vuzp_u32E  vuzpq_f32Mߵ vuzp_s8= vuzpq_s8Eū vuzp_s16EΫ  vuzpq_s16Mի  vuzpq_s32Mݫ vuzp_u8= vuzpq_u8E vuzp_u16E  vuzpq_u16M  vuzpq_u32M vuzp_p8=؍ vuzpq_p8Eŕ vuzp_p16EԞ  vuzpq_p16M vzip_f16E  vzipq_f16M vzip_f32E vzip_s32Eì vzip_u32Eˬ vzip_s8=Ҭ vzip_s16Eڬ vzip_u8= vzip_u16E vzip_p8= vzip_p16E  vzipq_f32M vzipq_s8E  vzipq_s16M  vzipq_s32M癭 vzipq_u8E  vzipq_u16MĪ  vzipq_u32M vzipq_p8E  vzipq_p16Mí  __crc32cdM Ӟ__crc32dE  ֞__jcvt5 ٞ vabal_high_s8m ܞvabal_high_s16u ݞvabal_high_s32u ޞ vabal_high_u8m$ ߞvabal_high_u16u* vabal_high_u32u/ vabd_f64E4  vabdq_f64M9  vabdd_f64M>  vabds_f32MA  vabdh_f16ME vabdl_high_s16uH vabdl_high_s32uM  vabdl_high_s8mQ  vabdl_high_u8mV vabdl_high_u16u[ vabdl_high_u32u_ vabs_f64Ec  vabsq_f64Mf vabs_s64Ei  vabsq_s64Mm  vabsd_s64Mp  vaddlv_s16Uz  vaddlvq_s16]  vaddlvq_s32]  vaddlv_s32U  vaddlv_s8M܍  vaddlvq_s8U  vaddlv_u16U  vaddlvq_u16]  vaddlvq_u32]  vaddlv_u32U  vaddlv_u8Mժ  vaddlvq_u8U  vaddv_f32M  vaddvq_f32U  vaddvq_f64U  vaddv_s32M vaddv_s8E  vaddvq_s8M  vaddv_s16M  vaddvq_s16U  vaddvq_s32U  vaddv_u32M vaddv_u8E  vaddvq_u8M  vaddv_u16M  vaddvq_u16U  vaddvq_u32U  vaddvq_s64U  vaddvq_u64U  vamax_f32M  vamaxq_f32U  vamaxq_f64U  vamin_f32M  vaminq_f32U  vaminq_f64UÅ ğ vbcaxq_s8Mڊ ǟ vbcaxq_s16U ʟ vbcaxq_s32U ͟ vbcaxq_s64Uޚ П vbcaxq_u8M ӟ vbcaxq_u16U ֟ vbcaxq_u32U ٟ vbcaxq_u64U ܟvcadd_rot270_f16϶ ߟvcaddq_rot270_f16 vcadd_rot270_f32 vcaddq_rot270_f32 vcaddq_rot270_f64 vcadd_rot90_f16} vcaddq_rot90_f16 vcadd_rot90_f32} vcaddq_rot90_f32 vcaddq_rot90_f64  vcage_f64M  vcageq_f64U  vcaged_f64U  vcages_f32U  vcageh_f16U  vcagt_f64M  vcagtq_f64U  vcagtd_f64U  vcagts_f32U  vcagth_f16Uʞ  vcale_f64Ṃ  vcaleq_f64Uߦ  vcaled_f64U  vcales_f32U  vcaleh_f16U  vcalt_f64M  vcaltq_f64U  vcaltd_f64U  vcalts_f32U  vcalth_f16U vceq_f64E  vceqq_f64M vceq_s64E  vceqq_s64M vceq_u64E  vceqq_u64M vceq_p64E  vceqq_p64M  vceqd_f64M  vceqs_f32M  vceqd_s64M  vceqd_u64M  vceqh_f16M  vceqz_f16M  vceqzq_f16U  vceqz_f32M  vceqzq_f32U  vceqz_f64M  vceqzq_f64U vceqz_s8E  vceqzq_s8MЃ  vceqz_s16M  vceqzq_s16UՊ  vceqz_s32M  vceqzq_s32U  vceqz_s64M  vceqzq_s64U vceqz_p8E  vceqzq_p8M  vceqz_p64M͢   vceqzq_p64U àvceqz_u8E Ġ vceqzq_u8Mݬ Š vceqz_u16M Ơ vceqzq_u16U Ǡ vceqz_u32M Ƞ vceqzq_u32Uֺ ɠ vceqz_u64M ʠ vceqzq_u64U ˠ vceqzd_s64U ̠ vceqzd_u64U ͠ vceqzh_f16U Π vceqzs_f32U Ϡ vceqzd_f64U Рvcge_f64E Ѡ vcgeq_f64M Ҡvcge_s64E Ӡ vcgeq_s64M Ԡvcge_u64E ՠ vcgeq_u64M ֠ vcged_f64M נ vcges_f32M ؠ vcged_s64M ٠ vcged_u64M ڠ vcgeh_f16M ۠ vcgez_f32M ܠ vcgezq_f32U ݠ vcgez_f64M ޠ vcgezq_f64U ߠvcgez_s8Eׅ  vcgezq_s8M  vcgez_s16M  vcgezq_s16U  vcgez_s32M  vcgezq_s32U  vcgez_s64Mܚ  vcgezq_s64U  vcgezd_f64Uȡ  vcgezs_f32U  vcgezd_s64U  vcgezh_f16U vcgt_f64E®  vcgtq_f64Mͱ vcgt_s64Eϴ  vcgtq_s64Mͷ vcgt_u64Eͺ  vcgtq_u64MϽ  vcgtd_f64M  vcgts_f32M  vcgtd_s64M  vcgtd_u64M  vcgth_f16M  vcgtz_f32M  vcgtzq_f32U  vcgtz_f64M  vcgtzq_f64U vcgtz_s8E  vcgtzq_s8M  vcgtz_s16M  vcgtzq_s16U  vcgtz_s32M  vcgtzq_s32U  vcgtz_s64M  vcgtzq_s64U  vcgtzd_f64U  vcgtzs_f32U  vcgtzd_s64U  vcgtzh_f16U vcle_f64E  vcleq_f64M vcle_s64E  vcleq_s64MÏ vcle_u64Eɒ  vcleq_u64Mѕ  vcled_f64M  vcles_f32M  vcled_u64M  vcled_s64M  vcleh_f16M  vclez_f32M  vclezq_f32Uܬ  vclez_f64M  vclezq_f64Uѳ vclez_s8E  vclezq_s8Mº  vclez_s16M  vclezq_s16U  vclez_s32M  vclezq_s32U  vclez_s64M  vclezq_s64U  vclezd_f64U  vclezs_f32U  vclezd_s64U  vclezh_f16U vclt_f64E  vcltq_f64M vclt_s64E  vcltq_s64M vclt_u64E  vcltq_u64M  vcltd_u64M  vcltd_s64M  vclth_f16M  vclts_f32M  vcltd_f64M  vcltz_f32Mׁ  vcltzq_f32U  vcltz_f64MLj  vcltzq_f64U vcltz_s8E  vcltzq_s8M  vcltz_s16M  vcltzq_s16U  vcltz_s32M  vcltzq_s32U  vcltz_s64M  vcltzq_s64Uܦ  vcltzd_f64U  vcltzs_f32U  vcltzd_s64U  vcltzh_f16Uų  vcmla_f16M  vcmlaq_f16UȽ  vcmla_f32M á vcmlaq_f32U ơ vcmlaq_f64U ɡvcmla_lane_f16u ̡vcmlaq_lane_f16} Ρvcmla_lane_f32u Сvcmlaq_lane_f32} ҡvcmla_laneq_f16} ԡvcmlaq_laneq_f16 ֡vcmla_laneq_f32} ءvcmlaq_laneq_f32ƃ ڡvcmla_rot180_f16 ܡvcmlaq_rot180_f16ܐ ߡvcmla_rot180_f32̖ vcmlaq_rot180_f32 vcmlaq_rot180_f64 vcmla_rot180_lane_f16 vcmlaq_rot180_lane_f16 vcmla_rot180_lane_f32 vcmlaq_rot180_lane_f32 vcmla_rot180_laneq_f16 vcmlaq_rot180_laneq_f16 vcmla_rot180_laneq_f32 vcmlaq_rot180_laneq_f32 vcmla_rot270_f16 vcmlaq_rot270_f16 vcmla_rot270_f32 vcmlaq_rot270_f32 vcmlaq_rot270_f64 vcmla_rot270_lane_f16 vcmlaq_rot270_lane_f16ޅ  vcmla_rot270_lane_f32  vcmlaq_rot270_lane_f32ے  vcmla_rot270_laneq_f16  vcmlaq_rot270_laneq_f16  vcmla_rot270_laneq_f32  vcmlaq_rot270_laneq_f32  vcmla_rot90_f16}  vcmlaq_rot90_f16  vcmla_rot90_f32}  vcmlaq_rot90_f32  vcmlaq_rot90_f64  vcmla_rot90_lane_f16  vcmlaq_rot90_lane_f16  vcmla_rot90_lane_f32  vcmlaq_rot90_lane_f32  vcmla_rot90_laneq_f16  vcmlaq_rot90_laneq_f16  vcmla_rot90_laneq_f32  vcmlaq_rot90_laneq_f32  vcopy_lane_f32u   vcopy_lane_s8m  vcopy_lane_s16u  vcopy_lane_s32u  ¢ vcopy_lane_u8m  Ţvcopy_lane_u16u  Ȣvcopy_lane_u32u  ˢ vcopy_lane_p8m  ΢vcopy_lane_p16u  Ѣvcopy_laneq_f32}  Ԣvcopy_laneq_s8u  עvcopy_laneq_s16}  ڢvcopy_laneq_s32}  ݢvcopy_laneq_u8u  vcopy_laneq_u16}  vcopy_laneq_u32}  vcopy_laneq_p8u  vcopy_laneq_p16}  vcopyq_lane_f32}  vcopyq_lane_f64}  vcopyq_lane_s64}  vcopyq_lane_u64}  vcopyq_lane_p64}  vcopyq_lane_s8u  vcopyq_lane_s16}ˆ  vcopyq_lane_s32}  vcopyq_lane_u8u  vcopyq_lane_u16}  vcopyq_lane_u32}  vcopyq_lane_p8u  vcopyq_lane_p16}  vcopyq_laneq_f32  vcopyq_laneq_f64  vcopyq_laneq_s8}  vcopyq_laneq_s16Õ vcopyq_laneq_s32ޟ vcopyq_laneq_s64 vcopyq_laneq_u8} vcopyq_laneq_u16 vcopyq_laneq_u32 vcopyq_laneq_u64 vcopyq_laneq_p8} vcopyq_laneq_p16 vcopyq_laneq_p64  vcreate_f64]  vcvt_f32_f64e  vcvt_f64_f32e  vcvt_f64_s64e  vcvtq_f64_s64m  vcvt_f64_u64e £ vcvtq_f64_u64m ãvcvt_high_f16_f32 ģvcvt_high_f32_f16 ţvcvt_high_f32_f64 ƣvcvt_high_f64_f32 ǣvcvt_n_f64_s64u ȣvcvtq_n_f64_s64} ̣vcvt_n_f64_u64u Уvcvtq_n_f64_u64} ԣvcvt_n_s64_f64u أvcvtq_n_s64_f64} ܣvcvt_n_u64_f64u̧ vcvtq_n_u64_f64}  vcvt_s64_f64eҳ  vcvtq_s64_f64m  vcvt_u64_f64e  vcvtq_u64_f64m  vcvta_s16_f16m vcvtaq_s16_f16u  vcvta_s32_f32m vcvtaq_s32_f32u  vcvta_s64_f64m vcvtaq_s64_f64u  vcvta_u16_f16m vcvtaq_u16_f16u  vcvta_u32_f32m vcvtaq_u32_f32u  vcvta_u64_f64m vcvtaq_u64_f64u vcvtah_s16_f16uӋ vcvtah_s32_f16u vcvtah_s64_f16u۔ vcvtah_u16_f16u vcvtah_u32_f16u vcvtah_u64_f16u vcvtas_s32_f32u vcvtad_s64_f64uí vcvtas_u32_f32uԲ vcvtad_u64_f64u  vcvtd_f64_s64mѼ  vcvts_f32_s32m  vcvth_f16_s16m  vcvth_f16_s32m  vcvth_f16_s64m  vcvth_f16_u16m  vcvth_f16_u32m  vcvth_f16_u64m vcvth_n_f16_s16} vcvth_n_f16_s32} vcvth_n_f16_s64} vcvth_n_f16_u16} Ĥvcvth_n_f16_u32} Ƥvcvth_n_f16_u64} ʤvcvth_n_s16_f16} Τvcvth_n_s32_f16} Фvcvth_n_s64_f16} Ԥvcvth_n_u16_f16}̇ ؤvcvth_n_u32_f16} ڤvcvth_n_u64_f16} ޤ vcvth_s16_f16m  vcvth_s32_f16m  vcvth_s64_f16m  vcvth_u16_f16mϡ  vcvth_u32_f16m  vcvth_u64_f16m  vcvtm_s16_f16më vcvtmq_s16_f16u  vcvtm_s32_f32mζ vcvtmq_s32_f32u  vcvtm_s64_f64m vcvtmq_s64_f64u  vcvtm_u16_f16m vcvtmq_u16_f16u  vcvtm_u32_f32m vcvtmq_u32_f32u  vcvtm_u64_f64m vcvtmq_u64_f64u vcvtmh_s16_f16u vcvtmh_s32_f16u vcvtmh_s64_f16u vcvtmh_u16_f16u vcvtmh_u32_f16u vcvtmh_u64_f16u vcvtms_s32_f32u vcvtmd_s64_f64u vcvtms_u32_f32u vcvtmd_u64_f64uș  vcvtn_s16_f16m vcvtnq_s16_f16u  vcvtn_s32_f32m vcvtnq_s32_f32uگ  vcvtn_s64_f64m vcvtnq_s64_f64uƺ  vcvtn_u16_f16m vcvtnq_u16_f16u  vcvtn_u32_f32m vcvtnq_u32_f32u  vcvtn_u64_f64m ĥvcvtnq_u64_f64u ǥvcvtnh_s16_f16u ʥvcvtnh_s32_f16u ˥vcvtnh_s64_f16u Υvcvtnh_u16_f16u ѥvcvtnh_u32_f16u ҥvcvtnh_u64_f16u եvcvtns_s32_f32u إvcvtnd_s64_f64u ۥvcvtns_u32_f32u ޥvcvtnd_u64_f64u  vcvtp_s16_f16mߓ vcvtpq_s16_f16u  vcvtp_s32_f32m vcvtpq_s32_f32u  vcvtp_s64_f64m vcvtpq_s64_f64u  vcvtp_u16_f16mǴ vcvtpq_u16_f16u  vcvtp_u32_f32mԿ vcvtpq_u32_f32u  vcvtp_u64_f64m vcvtpq_u64_f64u vcvtph_s16_f16u vcvtph_s32_f16u vcvtph_s64_f16u vcvtph_u16_f16u vcvtph_u32_f16u vcvtph_u64_f16u vcvtps_s32_f32u vcvtpd_s64_f64u vcvtps_u32_f32u vcvtpd_u64_f64u  vcvts_f32_u32m  vcvtd_f64_u64m vcvts_n_f32_s32} vcvtd_n_f64_s64} vcvts_n_f32_u32}ϗ vcvtd_n_f64_u64} vcvts_n_s32_f32} vcvtd_n_s64_f64} vcvts_n_u32_f32} vcvtd_n_u64_f64}  vcvts_s32_f32m Ħ vcvtd_s64_f64m Ŧ vcvts_u32_f32m Ʀ vcvtd_u64_f64m Ǧ vcvtx_f32_f64m Ȧvcvtx_high_f32_f64 ˦vcvtxd_f32_f64u ̦vdiv_f16E ͦ vdivq_f16M Φvdiv_f32E Ϧ vdivq_f32M Цvdiv_f64E Ѧ vdivq_f64M Ҧ vdivh_f16M Ӧvdot_laneq_s32u Ԧvdotq_laneq_s32} ֦vdot_laneq_u32u ئvdotq_laneq_u32} ڦ vdup_lane_f64m ܦ vdup_lane_p64m ަvdup_laneq_f64u vdup_laneq_p64u  vdupb_lane_s8m vduph_laneq_s16}  vdupb_lane_u8m̓ vduph_laneq_u16}  vdupb_lane_p8m vduph_laneq_p16} vdupb_laneq_s8uߢ vdupb_laneq_u8u vdupb_laneq_p8u vdupd_lane_f64u vdupd_lane_s64u vdupd_lane_u64uµ vduph_lane_f16uι vduph_laneq_f16}޽ vdupq_lane_f64u vdupq_lane_p64u vdupq_laneq_f64} vdupq_laneq_p64} vdups_lane_f32u vdupd_laneq_f64} vdups_lane_s32u vdupd_laneq_s64} vdups_lane_u32u vdupd_laneq_u64} vdups_laneq_f32} vduph_lane_s16u vdups_laneq_s32} vduph_lane_u16u vdups_laneq_u32} vduph_lane_p16u  veor3q_s8M  veor3q_s16U  veor3q_s32U  veor3q_s64UԎ  veor3q_u8M  veor3q_u16U  veor3q_u32U۞  veor3q_u64U  vextq_f64M  vextq_p64M vfma_f64Eܳ  vfma_lane_f16m vfma_laneq_f16u vfmaq_lane_f16u vfmaq_laneq_f16} ç vfma_lane_f32m ŧvfma_laneq_f32u ǧvfmaq_lane_f32u ɧvfmaq_laneq_f32} ˧vfmaq_laneq_f64} ͧ vfma_lane_f64m ϧvfma_laneq_f64u ѧ vfma_n_f16U ӧ vfmaq_n_f16] ԧ vfma_n_f64U էvfmad_lane_f64u ֧ vfmah_f16M اvfmah_lane_f16u ٧vfmah_laneq_f16} ۧ vfmaq_f64M ݧvfmaq_lane_f64u ާ vfmaq_n_f64] vfmas_lane_f32u vfmas_laneq_f32} vfmad_laneq_f64} vfmlal_high_f16} vfmlalq_high_f16 vfmlal_lane_high_f16 vfmlal_laneq_high_f16 vfmlalq_lane_high_f16 vfmlalq_laneq_high_f16 vfmlal_lane_low_f16 vfmlal_laneq_low_f16 vfmlalq_lane_low_f16 vfmlalq_laneq_low_f16 vfmlal_low_f16u vfmlalq_low_f16} vfmlsl_high_f16} vfmlslq_high_f16 vfmlsl_lane_high_f16 vfmlsl_laneq_high_f16 vfmlslq_lane_high_f16 vfmlslq_laneq_high_f16 vfmlsl_lane_low_f16 vfmlsl_laneq_low_f16 vfmlslq_lane_low_f16 vfmlslq_laneq_low_f16 vfmlsl_low_f16u vfmlslq_low_f16} vfms_f64E  vfms_lane_f16mú vfms_laneq_f16uȿ vfmsq_lane_f16u vfmsq_laneq_f16}  vfms_lane_f32m vfms_laneq_f32u vfmsq_lane_f32u vfmsq_laneq_f32} vfmsq_laneq_f64}  vfms_lane_f64m vfms_laneq_f64u  vfms_n_f16U  vfmsq_n_f16]  vfms_n_f64U  vfmsh_f16M vfmsh_lane_f16u vfmsh_laneq_f16}  vfmsq_f64M vfmsq_lane_f64u  vfmsq_n_f64]ȏ vfmss_lane_f32u ¨vfmss_laneq_f32} Ĩvfmsd_lane_f64u ƨvfmsd_laneq_f64}ߞ Ȩvld1_f16E ʨ vld1q_f16M ˨vld1_f32E ̨ vld1q_f32M ͨvld1_f64E Ψ vld1q_f64M Ϩvld1_s8= Шvld1q_s8E Ѩvld1_s16E Ҩ vld1q_s16M Өvld1_s32E Ԩ vld1q_s32M ըvld1_s64E ֨ vld1q_s64M רvld1_u8= بvld1q_u8E ٨vld1_u16E ڨ vld1q_u16M ۨvld1_u32E ܨ vld1q_u32M ݨvld1_u64E ި vld1q_u64M ߨvld1_p8= vld1q_p8E vld1_p16E  vld1q_p16M vld1_p64E  vld1q_p64M  vld1_f64_x2]  vld1_f64_x3]˖  vld1_f64_x4]  vld1q_f64_x2e  vld1q_f64_x3e  vld1q_f64_x4eԭ  vld2_dup_f64e  vld2q_dup_f64m  vld2q_dup_s64m vld2_f64E  vld2_lane_f64m  vld2_lane_s64m  vld2_lane_p64m  vld2_lane_u64m  vld2q_dup_p64m  vld2q_dup_u64m  vld2q_f64M  vld2q_s64M vld2q_lane_f64u  vld2q_lane_s8m vld2q_lane_s64u vld2q_lane_p64u–  vld2q_lane_u8m vld2q_lane_u64u  vld2q_lane_p8m  vld2q_p64M  vld2q_u64M  vld3_dup_f64eǼ  vld3q_dup_f64m  vld3q_dup_s64m vld3_f64E  vld3_lane_f64m  vld3_lane_p64m  vld3_lane_s64m  vld3_lane_u64m ĩ vld3q_dup_p64m Ʃ vld3q_dup_u64m ǩ vld3q_f64MɁ ȩ vld3q_s64M ˩vld3q_lane_f64u Ωvld3q_lane_p64u ҩ vld3q_lane_s8m ԩvld3q_lane_s64uʡ ة vld3q_lane_u8m ܩvld3q_lane_u64u ީ vld3q_lane_p8m  vld3q_p64M  vld3q_u64M  vld4_dup_f64e  vld4q_dup_f64m  vld4q_dup_s64m vld4_f64E  vld4_lane_f64m  vld4_lane_s64m  vld4_lane_p64m  vld4_lane_u64m  vld4q_dup_p64m  vld4q_dup_u64mڇ  vld4q_f64M  vld4q_s64M vld4q_lane_f64u  vld4q_lane_s8m vld4q_lane_s64u vld4q_lane_p64u  vld4q_lane_u8m vld4q_lane_u64uϿ  vld4q_lane_p8m  vld4q_p64M  vld4q_u64M vluti2_lane_s8u vluti2q_lane_s8} vluti2_lane_s16} vluti2q_lane_s16 vluti2_lane_u8u vluti2q_lane_u8} vluti2_lane_u16} vluti2q_lane_u16 vluti2_lane_p8uߌ vluti2q_lane_p8}‘ vluti2_lane_p16} vluti2q_lane_p16 vluti4q_lane_f16_x2 vluti4q_lane_u16_x2 vluti4q_lane_p16_x2 vluti4q_lane_s16_x2ޮ vluti4q_lane_s8} Īvluti4q_lane_u8} Ȫvluti4q_lane_p8} ʪvluti4q_laneq_f16_x2 ̪vluti4q_laneq_u16_x2 Ϊvluti4q_laneq_p16_x2 Ъvluti4q_laneq_s16_x2 Ҫvluti4q_laneq_s8 ֪vluti4q_laneq_u8 ڪvluti4q_laneq_p8 ܪvmax_f64E ު vmaxq_f64M  vmaxh_f16M  vmaxnm_f64U  vmaxnmq_f64]  vmaxnmh_f16]   vmaxnmv_f16]   vmaxnmvq_f16e   vmaxnmv_f32]   vmaxnmvq_f64e   vmaxnmvq_f32e   vmaxv_f16M   vmaxvq_f16U֙   vmaxv_f32M   vmaxvq_f32U   vmaxvq_f64U  vmaxv_s8E̬   vmaxvq_s8M   vmaxv_s16M   vmaxvq_s16U   vmaxv_s32M   vmaxvq_s32U  vmaxv_u8Eͽ   vmaxvq_u8M   vmaxv_u16M   vmaxvq_u16U   vmaxv_u32M   vmaxvq_u32U  vmin_f64E   vminq_f64M   vminh_f16M   vminnm_f64U   vminnmq_f64]   vminnmh_f16]   vminnmv_f16]   vminnmvq_f16e   vminnmv_f32]   vminnmvq_f64e   vminnmvq_f32e   vminv_f16M   vminvq_f16U   vminv_f32Mہ!  vminvq_f32U!  vminvq_f64U! vminv_s8E!  vminvq_s8Mے!  vminv_s16Mŕ!  vminvq_s16U!  vminv_s32M!  vminvq_s32U! vminv_u8E!  vminvq_u8Mݣ!  vminv_u16MȦ!  vminvq_u16U!  vminv_u32M!  vminvq_u32U! vmla_f64E!  vmlaq_f64M! vmlal_high_lane_s16! vmlal_high_laneq_s16! vmlal_high_lane_s32! vmlal_high_laneq_s32! vmlal_high_lane_u16! vmlal_high_laneq_u16! «vmlal_high_lane_u32! īvmlal_high_laneq_u32! ƫvmlal_high_n_s16! ȫvmlal_high_n_s32! ɫvmlal_high_n_u16! ʫvmlal_high_n_u32! ˫ vmlal_high_s8m! ̫vmlal_high_s16u! ͫvmlal_high_s32u" Ϋ vmlal_high_u8m" ϫvmlal_high_u16u؉" Ыvmlal_high_u32u" ѫvmls_f64E" ҫ vmlsq_f64M" ӫvmlsl_high_lane_s16" ԫvmlsl_high_laneq_s16" ֫vmlsl_high_lane_s32" ثvmlsl_high_laneq_s32" ګvmlsl_high_lane_u16ݲ" ܫvmlsl_high_laneq_u16" ޫvmlsl_high_lane_u32" vmlsl_high_laneq_u32" vmlsl_high_n_s16" vmlsl_high_n_s32" vmlsl_high_n_u16" vmlsl_high_n_u32"  vmlsl_high_s8m" vmlsl_high_s16u" vmlsl_high_s32u"  vmlsl_high_u8m" vmlsl_high_u16u" vmlsl_high_u32u"  vmovl_high_s8m" vmovl_high_s16u" vmovl_high_s32u"  vmovl_high_u8m" vmovl_high_u16u# vmovl_high_u32u# vmovn_high_s16u# vmovn_high_s32uы# vmovn_high_s64u# vmovn_high_u16u# vmovn_high_u32uՖ# vmovn_high_u64u# vmul_f64E#  vmulq_f64M֠#  vmul_lane_f64m# vmul_laneq_f16u˨# vmulq_laneq_f16}߭# vmul_laneq_f64u#  vmul_n_f64Uܸ#  vmulq_n_f64]# vmuld_lane_f64u#  vmulh_f16M# vmulh_lane_f16u# vmulh_laneq_f16}# vmull_high_lane_s16# vmull_high_laneq_s16# vmull_high_lane_s32# vmull_high_laneq_s32# vmull_high_lane_u16# vmull_high_laneq_u16# vmull_high_lane_u32# vmull_high_laneq_u32# vmull_high_n_s16# vmull_high_n_s32ׁ$ vmull_high_n_u16ڄ$ vmull_high_n_u32߇$ vmull_high_p64u$  vmull_high_p8m$  vmull_high_s8m˒$ vmull_high_s16u$ vmull_high_s32u$  vmull_high_u8m$ vmull_high_u16u$ vmull_high_u32uϧ$  vmull_p64M׫$ vmulq_lane_f64u$ vmulq_laneq_f64}$ vmuls_lane_f32u$ vmuls_laneq_f32}$ vmuld_laneq_f64}$  vmulx_f16M$  vmulxq_f16U$  vmulx_f32M$  vmulxq_f32U$  vmulx_f64M$ ¬ vmulxq_f64U$ Ŭvmulx_lane_f16u$ Ȭvmulx_laneq_f16}$ ʬvmulxq_lane_f16}$ ̬vmulxq_laneq_f16$ άvmulx_lane_f32u$ Ьvmulx_laneq_f32}Ń% Ҭvmulxq_lane_f32}% Ԭvmulxq_laneq_f32% ֬vmulxq_laneq_f64ڑ% جvmulx_lane_f64u% ڬvmulx_laneq_f64}% ܬ vmulx_n_f16]̞% ެ vmulxq_n_f16e% ߬ vmulxd_f64U%  vmulxs_f32U% vmulxd_lane_f64}% vmulxd_laneq_f64% vmulxs_lane_f32}% vmulxs_laneq_f32%  vmulxh_f16U% vmulxh_lane_f16}% vmulxh_laneq_f16% vmulxq_lane_f64}% vneg_f64E%  vnegq_f64M% vneg_s64E%  vnegq_s64M%  vnegd_s64M%  vnegh_f16M%  vpaddd_f64U%  vpadds_f32U%  vpaddd_s64U%  vpaddd_u64U%  vpaddq_f16U%  vpaddq_f32U%  vpaddq_f64U%  vpaddq_s8M%  vpaddq_s16Uׂ&  vpaddq_s32U͇&  vpaddq_s64UÌ&  vpaddq_u8Mّ&  vpaddq_u16U&  vpaddq_u32U&  vpaddq_u64U&  vpmax_f16M&  vpmaxq_f16Uڻ&  vpmaxnm_f16]&  vpmaxnmq_f16e&  vpmaxnm_f32]&  vpmaxnmq_f32e&  vpmaxnmq_f64e&  vpmaxnmqd_f64m&  vpmaxnms_f32e&  vpmaxq_f32U&  vpmaxq_f64U&  vpmaxq_s8M&  vpmaxq_s16U&  vpmaxq_s32U&  vpmaxq_u8M& ĭ vpmaxq_u16U' ǭ vpmaxq_u32U' ʭ vpmaxqd_f64]' ͭ vpmaxs_f32U' Э vpmin_f16M' ӭ vpminq_f16Uڞ' ֭ vpminnm_f16]' ٭ vpminnmq_f16e' ܭ vpminnm_f32]' ߭ vpminnmq_f32eʴ'  vpminnmq_f64e'  vpminnmqd_f64m'  vpminnms_f32e'  vpminq_f32U'  vpminq_f64U'  vpminq_s8M'  vpminq_s16U'  vpminq_s32U'  vpminq_u8M'  vpminq_u16U'  vpminq_u32U'  vpminqd_f64]'  vpmins_f32U'  vqabs_s64M'  vqabsq_s64U(  vqabsb_s8M(  vqabsh_s16Uˉ(  vqabss_s32U(  vqabsd_s64U(  vqaddb_s8M(  vqaddh_s16Uޙ(  vqaddb_u8M(  vqaddh_u16Uڠ(  vqadds_s32U(  vqaddd_s64U(  vqadds_u32Uƭ(  vqaddd_u64U( vqdmlal_high_lane_s16÷( vqdmlal_high_laneq_s16( vqdmlal_high_lane_s32( vqdmlal_high_laneq_s32( vqdmlal_high_n_s16( vqdmlal_high_s16( vqdmlal_high_n_s32( vqdmlal_high_s32( vqdmlal_laneq_s16( vqdmlal_laneq_s32( vqdmlalh_lane_s16( vqdmlalh_laneq_s16( vqdmlals_lane_s32( vqdmlals_laneq_s32(  vqdmlalh_s16e( ® vqdmlals_s32e( îvqdmlsl_high_lane_s16( Įvqdmlsl_high_laneq_s16( Ʈvqdmlsl_high_lane_s32) Ȯvqdmlsl_high_laneq_s32) ʮvqdmlsl_high_n_s16) ̮vqdmlsl_high_s16ٌ) ͮvqdmlsl_high_n_s32) ήvqdmlsl_high_s32ۓ) Ϯvqdmlsl_laneq_s16՗) Юvqdmlsl_laneq_s32) Үvqdmlslh_lane_s16) Ԯvqdmlslh_laneq_s16ڤ) ֮vqdmlsls_lane_s32) خvqdmlsls_laneq_s32) ڮ vqdmlslh_s16e) ܮ vqdmlsls_s32e) ݮvqdmulh_lane_s16) ޮvqdmulhq_lane_s16) vqdmulh_lane_s32) vqdmulhq_lane_s32) vqdmulhh_lane_s16) vqdmulhh_laneq_s16)  vqdmulhh_s16e)  vqdmulhs_s32e) vqdmulhs_lane_s32) vqdmulhs_laneq_s32) vqdmull_high_lane_s16) vqdmull_high_laneq_s32) vqdmull_high_lane_s32) vqdmull_high_laneq_s16) vqdmull_high_n_s16) vqdmull_high_n_s32) vqdmull_high_s16* vqdmull_high_s32ƅ* vqdmull_laneq_s16* vqdmull_laneq_s32* vqdmullh_lane_s16ғ* vqdmulls_laneq_s32* vqdmullh_laneq_s16*  vqdmullh_s16e* vqdmulls_lane_s32Ǥ*  vqdmulls_s32eȨ* vqmovn_high_s16}* vqmovn_high_s32}Ա* vqmovn_high_s64}* vqmovn_high_u16}¸* vqmovn_high_u32}ټ* vqmovn_high_u64}*  vqmovnd_s64]*  vqmovnd_u64]*  vqmovnh_s16]*  vqmovns_s32]*  vqmovnh_u16]*  vqmovns_u32]* vqmovun_high_s16* vqmovun_high_s32* vqmovun_high_s64*  vqmovunh_s16e*  vqmovuns_s32e*  vqmovund_s64e*  vqneg_s64M*  vqnegq_s64U*  vqnegb_s8M*  vqnegh_s16U*  vqnegs_s32U*  vqnegd_s64Uʀ+ vqrdmlah_lane_s16+ vqrdmlah_lane_s32+ vqrdmlah_laneq_s16+ vqrdmlah_laneq_s32+ vqrdmlahq_lane_s16˙+ vqrdmlahq_lane_s32+ vqrdmlahq_laneq_s16+ vqrdmlahq_laneq_s32ǭ+  vqrdmlah_s16eѲ+  vqrdmlahq_s16m+  vqrdmlah_s32e+ ¯ vqrdmlahq_s32m+ ůvqrdmlahh_lane_s16+ ȯvqrdmlahh_laneq_s16+ ʯvqrdmlahs_lane_s32+ ̯vqrdmlahs_laneq_s32+ ί vqrdmlahh_s16m+ Я vqrdmlahs_s32m+ ѯvqrdmlsh_lane_s16+ үvqrdmlsh_lane_s32+ ԯvqrdmlsh_laneq_s16+ ֯vqrdmlsh_laneq_s32+ دvqrdmlshq_lane_s16+ گvqrdmlshq_lane_s32ҁ, ܯvqrdmlshq_laneq_s16, ޯvqrdmlshq_laneq_s32,  vqrdmlsh_s16e,  vqrdmlshq_s16m,  vqrdmlsh_s32e,  vqrdmlshq_s32mؤ, vqrdmlshh_lane_s16, vqrdmlshh_laneq_s16, vqrdmlshs_lane_s32, vqrdmlshs_laneq_s32,  vqrdmlshh_s16mԼ,  vqrdmlshs_s32m, vqrdmulhh_lane_s16, vqrdmulhh_laneq_s16, vqrdmulhs_lane_s32, vqrdmulhs_laneq_s32,  vqrdmulhh_s16m,  vqrdmulhs_s32m,  vqrshlb_s8U,  vqrshlh_s16],  vqrshlb_u8U,  vqrshlh_u16],  vqrshld_s64],  vqrshls_s32],  vqrshls_u32],  vqrshld_u64], vqrshrn_high_n_s16- vqrshrn_high_n_s32- vqrshrn_high_n_s64͊- vqrshrn_high_n_u16- vqrshrn_high_n_u32- vqrshrn_high_n_u64Ș- vqrshrnd_n_u64u- vqrshrnh_n_u16u- vqrshrns_n_u32u- vqrshrnh_n_s16u۩- vqrshrns_n_s32u- vqrshrnd_n_s64u- vqrshrun_high_n_s16̶- vqrshrun_high_n_s32- vqrshrun_high_n_s64- vqrshrund_n_s64}- vqrshrunh_n_s16}- vqrshruns_n_s32}-  vqshlb_n_s8]-  vqshld_n_s64e-  vqshlh_n_s16e-  vqshls_n_s32e-  vqshlb_n_u8]-  vqshld_n_u64e-  vqshlh_n_u16e- ° vqshls_n_u32e- İ vqshlb_s8M- ư vqshlh_s16U- ǰ vqshls_s32U- Ȱ vqshlb_u8M- ɰ vqshlh_u16U- ʰ vqshls_u32U. ˰ vqshld_s64U. ̰ vqshld_u64U. ϰ vqshlub_n_s8e. Ұ vqshlud_n_s64m. ԰ vqshluh_n_s16m. ְ vqshlus_n_s32m. ذvqshrn_high_n_s16. ڰvqshrn_high_n_s32. ܰvqshrn_high_n_s64. ްvqshrn_high_n_u16׫. vqshrn_high_n_u32ݰ. vqshrn_high_n_u64.  vqshrnd_n_s64m.  vqshrnd_n_u64m.  vqshrnh_n_s16m.  vqshrns_n_s32m.  vqshrnh_n_u16m.  vqshrns_n_u32m. vqshrun_high_n_s16. vqshrun_high_n_s32. vqshrun_high_n_s64. vqshrund_n_s64u. vqshrunh_n_s16u. vqshruns_n_s32u.  vqsubb_s8M.  vqsubh_s16U.  vqsubb_u8M.  vqsubh_u16U.  vqsubs_s32U.  vqsubd_s64U/  vqsubs_u32U…/  vqsubd_u64U/  vqtbl1_s8M/  vqtbl1q_s8U/  vqtbl1_u8M/  vqtbl1_p8M/  vqtbl1q_p8U/  vqtbl2_s8M/  vqtbl2q_s8U/  vqtbl2_u8M/  vqtbl2q_u8U/  vqtbl2_p8M/  vqtbl2q_p8U/  vqtbl3_s8M/  vqtbl3q_s8U/  vqtbl3_u8M/  vqtbl3q_u8U…0  vqtbl3_p8M0  vqtbl3q_p8U0  vqtbl4_s8M0  vqtbl4q_s8U0  vqtbl4_u8M0  vqtbl4q_u8U0  vqtbl4_p8M0  vqtbl4q_p8U0  vqtbx1_s8M͈1 ȱ vqtbx1q_s8Uɋ1 ɱ vqtbx1_u8MɎ1 ʱ vqtbx1q_u8U1 ˱ vqtbx1_p8M1 ̱ vqtbx1q_p8UΘ1 ͱ vqtbx2_s8MЦ1 Ա vqtbx2q_s8Uթ1 ձ vqtbx2_u8M1 ֱ vqtbx2q_u8U1 ױ vqtbx2_p8M1 ر vqtbx2q_p8U1 ٱ vqtbx3_s8M1  vqtbx3q_s8U1  vqtbx3_u8M1  vqtbx3q_u8U2  vqtbx3_p8M2  vqtbx3q_p8U2  vqtbx4_s8MѾ2  vqtbx4q_s8U2  vqtbx4_u8M2  vqtbx4q_u8U2  vqtbx4_p8M2  vqtbx4q_p8U2  vrax1q_u64U3 vrbit_s8E3  vrbitq_s8M3 vrbit_u8E3  vrbitq_u8M3 vrbit_p8E3  vrbitq_p8MЭ3  vrecpe_f64U3  vrecpeq_f64]3  vrecped_f64]3  vrecpes_f32]3  vrecpeh_f16]3  vrecps_f64U3  vrecpsq_f64]3  vrecpsd_f64]3  vrecpss_f32]3  vrecpsh_f16]3  vrecpxd_f64]3  vrecpxs_f32]3  vrecpxh_f16]3 vreinterpret_f64_f163 vreinterpretq_f64_f163 vreinterpret_f16_f644 vreinterpretq_f16_f644 vreinterpretq_f64_p1284 vreinterpret_f64_f324 vreinterpret_p64_f324 vreinterpretq_f64_f32֭4 vreinterpretq_p64_f32Ե4 vreinterpret_f32_f64ν4 vreinterpret_s8_f644 vreinterpret_s16_f644 vreinterpret_s32_f644 vreinterpret_s64_f644 vreinterpret_u8_f644 vreinterpret_u16_f644 vreinterpret_u32_f644 vreinterpret_u64_f644 vreinterpret_p8_f644 vreinterpret_p16_f644 vreinterpret_p64_f645 vreinterpretq_p128_f64Ӊ5 vreinterpretq_f32_f645 vreinterpretq_s8_f645 vreinterpretq_s16_f645 vreinterpretq_s32_f645 vreinterpretq_s64_f645 vreinterpretq_u8_f645 vreinterpretq_u16_f645 vreinterpretq_u32_f645 vreinterpretq_u64_f645 vreinterpretq_p8_f645 vreinterpretq_p16_f645 ²vreinterpretq_p64_f645 òvreinterpret_f64_s85 IJvreinterpretq_f64_s85 Ųvreinterpret_f64_s166 Ʋvreinterpretq_f64_s166 Dzvreinterpret_f64_s326 Ȳvreinterpretq_f64_s326 ɲvreinterpret_f64_s646 ʲvreinterpret_p64_s646 ˲vreinterpretq_f64_s646 ̲vreinterpretq_p64_s646 Ͳvreinterpret_f64_u86 βvreinterpretq_f64_u86 ϲvreinterpret_f64_u166 вvreinterpretq_f64_u166 Ѳvreinterpret_f64_u326 Ҳvreinterpretq_f64_u326 Ӳvreinterpret_f64_u646 Բvreinterpret_p64_u646 ղvreinterpretq_f64_u646 ֲvreinterpretq_p64_u646 ײvreinterpret_f64_p86 زvreinterpretq_f64_p8ȁ7 ٲvreinterpret_f64_p167 ڲvreinterpretq_f64_p167 ۲vreinterpret_f32_p647 ܲvreinterpret_f64_p647 ݲvreinterpret_s64_p647 ޲vreinterpret_u64_p647 ߲vreinterpretq_f32_p647 vreinterpretq_f64_p647 vreinterpretq_s64_p64ݹ7 vreinterpretq_u64_p647  vrnd32x_f32]7  vrnd32xq_f32e7  vrnd32xq_f64e7  vrnd32x_f64]7  vrnd32z_f32]7  vrnd32zq_f32e7  vrnd32zq_f64e7  vrnd32z_f64]7  vrnd64x_f32]7  vrnd64xq_f32e7  vrnd64xq_f64eā8  vrnd64x_f64]8  vrnd64z_f32]֌8  vrnd64zq_f32e8  vrnd64zq_f64eӗ8  vrnd64z_f64]8 vrnd_f16E̢8  vrndq_f16M8 vrnd_f32E8  vrndq_f32M8 vrnd_f64E8  vrndq_f64M8  vrnda_f16M8  vrndaq_f16U8  vrnda_f32Mü8  vrndaq_f32Uݿ8  vrnda_f64M8  vrndaq_f64U8  vrndah_f16U8  vrndh_f16M8  vrndi_f16M8  vrndiq_f16U8  vrndi_f32M8  vrndiq_f32U8  vrndi_f64M8  vrndiq_f64U8  vrndih_f16U8  vrndm_f16M8  vrndmq_f16U8  vrndm_f32M8  vrndmq_f32U8  vrndm_f64M9  vrndmq_f64UЄ9  vrndmh_f16U9  vrndn_f64M9  vrndnq_f64U9  vrndnh_f16UǕ9 ij vrndns_f32U9 dz vrndp_f16M9 ʳ vrndpq_f16U9 ˳ vrndp_f32M9 ̳ vrndpq_f32U9 ͳ vrndp_f64M9 γ vrndpq_f64U9 ϳ vrndph_f16U9 г vrndx_f16M9 ѳ vrndxq_f16U9 ҳ vrndx_f32M9 ӳ vrndxq_f32U9 Գ vrndx_f64M9 ճ vrndxq_f64U9 ֳ vrndxh_f16U9 ׳ vrshld_s64U9 س vrshld_u64U9 ۳ vrshrd_n_s64e9 ޳ vrshrd_n_u64e9 vrshrn_high_n_s169 vrshrn_high_n_s329 vrshrn_high_n_s649 vrshrn_high_n_u169 vrshrn_high_n_u329 vrshrn_high_n_u649  vrsqrte_f64]9  vrsqrteq_f64e9  vrsqrted_f64e:  vrsqrtes_f32e:  vrsqrteh_f16e:  vrsqrts_f64]:  vrsqrtsq_f64e:  vrsqrtsd_f64eȜ:  vrsqrtss_f32eġ:  vrsqrtsh_f16e:  vrsrad_n_s64e:  vrsrad_n_u64e: vrsubhn_high_s16: vrsubhn_high_s32: vrsubhn_high_s64Ӽ: vrsubhn_high_u16: vrsubhn_high_u32: vrsubhn_high_u64:  vset_lane_f64m: vsetq_lane_f64u: vsha512h2q_u64u:  vsha512hq_u64m: vsha512su0q_u64}: vsha512su1q_u64}:  vshld_s64M;  vshld_u64M; vshll_high_n_s8}ӊ; vshll_high_n_s16; vshll_high_n_s32; vshll_high_n_u8}՗; vshll_high_n_u16; vshll_high_n_u32; vshrn_high_n_s16ܤ; vshrn_high_n_s32Ʃ; vshrn_high_n_s64ڭ; vshrn_high_n_u16; vshrn_high_n_u32϶; vshrn_high_n_u64;  vsli_n_s8M;  vsliq_n_s8U; Ĵ vsli_n_s16U; ȴ vsliq_n_s16]; ̴ vsli_n_s32U; д vsliq_n_s32]; Դ vsli_n_s64U; ش vsliq_n_s64]; ܴ vsli_n_u8M;  vsliq_n_u8U;  vsli_n_u16U;  vsliq_n_u16];  vsli_n_u32U;  vsliq_n_u32]‚<  vsli_n_u64Uӆ<  vsliq_n_u64]<  vsli_n_p8M<  vsliq_n_p8U<  vsli_n_p16U<  vsliq_n_p16]<  vsli_n_p64U<  vsliq_n_p64]<  vslid_n_s64]ާ<  vslid_n_u64]< vsm3partw1q_u32}< vsm3partw2q_u32}<  vsm3ss1q_u32e<  vsm3tt1aq_u32m<  vsm3tt1bq_u32m<  vsm3tt2aq_u32m<  vsm3tt2bq_u32m<  vsm4ekeyq_u32m<  vsm4eq_u32U<  vsqadd_u8M<  vsqaddq_u8U<  vsqadd_u16U<  vsqaddq_u16]<  vsqadd_u32U<  vsqaddq_u32]<  vsqadd_u64UЂ=  vsqaddq_u64]=  vsqaddb_u8U=  vsqaddh_u16]=  vsqaddd_u64]=  vsqadds_u32]=  vsqrt_f16M=  vsqrtq_f16U=  vsqrt_f32M=  vsqrtq_f32U= µ vsqrt_f64Mê= õ vsqrtq_f64Uƭ= ĵ vsqrth_f16U= ŵ vsri_n_s8M= Ƶ vsriq_n_s8U= ʵ vsri_n_s16U= ε vsriq_n_s16]= ҵ vsri_n_s32U= ֵ vsriq_n_s32]= ڵ vsri_n_s64U= ޵ vsriq_n_s64]=  vsri_n_u8M=  vsriq_n_u8U=  vsri_n_u16U=  vsriq_n_u16]=  vsri_n_u32U=  vsriq_n_u32]=  vsri_n_u64U=  vsriq_n_u64]>  vsri_n_p8M>  vsriq_n_p8U>  vsri_n_p16Uˌ>  vsriq_n_p16]ܐ>  vsri_n_p64U>  vsriq_n_p64]>  vsrid_n_s64]>  vsrid_n_u64]> vst1_f16EѦ>  vst1q_f16M> vst1_f32E>  vst1q_f32M> vst1_f64E>  vst1q_f64M> vst1_s8=> vst1q_s8E> vst1_s16E>  vst1q_s16M> vst1_s32E>  vst1q_s32M> vst1_s64E>  vst1q_s64M> vst1_u8=> vst1q_u8E> vst1_u16E>  vst1q_u16M> vst1_u32E>  vst1q_u32M> vst1_u64E>  vst1q_u64M? vst1_p8=? vst1q_p8EɈ? vst1_p16E?  vst1q_p16M? vst1_p64E?  vst1q_p64Mϙ?  vst1_f64_x2]ʝ?  vst1q_f64_x2eģ?  vst1_f64_x3]?  vst1q_f64_x3eϯ?  vst1_f64_x4]?  vst1q_f64_x4e˼?  vst1_lane_f64m? vst1q_lane_f64u? vst2_f64E?  vst2_lane_f64m?  vst2_lane_s64m?  vst2_lane_p64m? ö vst2_lane_u64m? Ŷ vst2q_f64M? Ƕ vst2q_s64M? ʶvst2q_lane_f64u? Ͷ vst2q_lane_s8m? Ѷvst2q_lane_s64u@ նvst2q_lane_p64u@ ٶ vst2q_lane_u8m@ ۶vst2q_lane_u64uŒ@ ݶ vst2q_lane_p8m@ ߶ vst2q_p64M›@  vst2q_u64M@ vst3_f64E@  vst3_lane_f64m@  vst3_lane_s64m@  vst3_lane_p64m@  vst3_lane_u64mһ@  vst3q_f64M@  vst3q_s64M@ vst3q_lane_f64u@  vst3q_lane_s8m@ vst3q_lane_s64u@ vst3q_lane_p64u@  vst3q_lane_u8m@ vst3q_lane_u64u@  vst3q_lane_p8m@  vst3q_p64M@  vst3q_u64M@ vst4_f64E@  vst4_lane_f64mA  vst4_lane_s64mA  vst4_lane_p64mǐA  vst4_lane_u64mA  vst4q_f64MA  vst4q_s64MA vst4q_lane_f64uA  vst4q_lane_s8mͭA vst4q_lane_s64uA vst4q_lane_p64uA  vst4q_lane_u8mA vst4q_lane_u64uA  vst4q_lane_p8mA  vst4q_p64MA  vst4q_u64MA vsub_f64EA  vsubq_f64MA  vsubd_s64MA  vsubd_u64MA  vsubh_f16MA  vsubl_high_s8mA vsubl_high_s16uA vsubl_high_s32uA  vsubl_high_u8mA vsubl_high_u16uA ·vsubl_high_u32uA ÷ vsubw_high_s8mB ķvsubw_high_s16uB ŷvsubw_high_s32uÈB Ʒ vsubw_high_u8mB Ƿvsubw_high_u16uB ȷvsubw_high_u32uB ɷvsudot_laneq_s32B ʷvsudotq_laneq_s32НB ̷vtbl1_s8EȢB ηvtbl1_p8EB зvtbl2_s8EB ѷvtbl2_u8EB ҷvtbl2_p8EùB ӷvtbl3_s8EB Էvtbl3_u8EB շvtbl3_p8EB ַvtbl4_s8EB ׷vtbl4_u8EB طvtbl4_p8EB ٷvtbx1_s8EB ڷvtbx1_u8EC ۷vtbx1_p8EC ܷvtbx2_s8EȊC ݷvtbx2_u8EC ޷vtbx2_p8EC ߷vtbx3_s8EC vtbx3_u8EʪC vtbx3_p8EC vtbx4_s8EC vtbx4_u8EC vtbx4_p8EC  vtrn1_f16MC  vtrn1q_f16UC  vtrn1_f32MC  vtrn1q_f64UC  vtrn1_s32MC  vtrn1q_s64UC  vtrn1_u32MC  vtrn1q_u64UD  vtrn1q_p64U߄D  vtrn1q_f32UD vtrn1_s8ED  vtrn1q_s8MD  vtrn1_s16MD  vtrn1q_s16UD  vtrn1q_s32UԙD vtrn1_u8ED  vtrn1q_u8MD  vtrn1_u16MäD  vtrn1q_u16UD  vtrn1q_u32UD vtrn1_p8EӮD  vtrn1q_p8MD  vtrn1_p16MD  vtrn1q_p16UƹD  vtrn2_f16MD  vtrn2q_f16UD  vtrn2_f32MD  vtrn2q_f64UD  vtrn2_s32MD  vtrn2q_s64UD  vtrn2_u32MD  vtrn2q_u64UD  vtrn2q_p64UD  vtrn2q_f32UD vtrn2_s8ED  vtrn2q_s8MD  vtrn2_s16MD  vtrn2q_s16UD  vtrn2q_s32UD vtrn2_u8ED  vtrn2q_u8MD  vtrn2_u16MD  vtrn2q_u16UD  vtrn2q_u32UD vtrn2_p8EE  vtrn2q_p8MͅE  vtrn2_p16ME  vtrn2q_p16UE vtst_s64EE  vtstq_s64ME vtst_p64EE  vtstq_p64ME vtst_u64EE  vtstq_u64ME  vtstd_s64ME  vtstd_u64ME  vuqadd_s8ME  vuqaddq_s8UҳE  vuqadd_s16UE  vuqaddq_s16]E  vuqadd_s32UE  vuqaddq_s32]E  vuqadd_s64UE  vuqaddq_s64]E  vuqaddb_s8UE  vuqaddh_s16]E  vuqaddd_s64]E  vuqadds_s32]E vusdot_laneq_s32E vusdotq_laneq_s32E  vuzp1_f16ME ¸ vuzp1q_f16UE ø vuzp1_f32ME ĸ vuzp1q_f64UE Ÿ vuzp1_s32MF Ƹ vuzp1q_s64UF Ǹ vuzp1_u32MڈF ȸ vuzp1q_u64UF ɸ vuzp1q_p64UF ʸ vuzp1q_f32UF ˸vuzp1_s8EF ̸ vuzp1q_s8MF ͸ vuzp1_s16MF θ vuzp1q_s16UƠF ϸ vuzp1q_s32UF иvuzp1_u8EF Ѹ vuzp1q_u8MΪF Ҹ vuzp1_u16MݮF Ӹ vuzp1q_u16UF Ը vuzp1q_u32UF ոvuzp1_p8EF ָ vuzp1q_p8MF ׸ vuzp1_p16MF ظ vuzp1q_p16UF ٸ vuzp2_f16MF ڸ vuzp2q_f16UF ۸ vuzp2_f32MF ܸ vuzp2q_f64UF ݸ vuzp2_s32MF ޸ vuzp2q_s64UF ߸ vuzp2_u32MF  vuzp2q_u64UF  vuzp2q_p64UF  vuzp2q_f32UF vuzp2_s8EF  vuzp2q_s8MF  vuzp2_s16MF  vuzp2q_s16UF  vuzp2q_s32UF vuzp2_u8EF  vuzp2q_u8MF  vuzp2_u16MG  vuzp2q_u16UG  vuzp2q_u32UG vuzp2_p8EƋG  vuzp2q_p8MG  vuzp2_p16MG  vuzp2q_p16UG  vxarq_u64MG  vzip1_f16MG  vzip1q_f16UG  vzip1_f32MG  vzip1q_f32UG  vzip1q_f64UG vzip1_s8EG  vzip1q_s8MG  vzip1_s16MG  vzip1q_s16UֻG  vzip1_s32MG  vzip1q_s32UG  vzip1q_s64UG vzip1_u8EG  vzip1q_u8MG  vzip1_u16MG  vzip1q_u16UG  vzip1_u32MG  vzip1q_u32UG  vzip1q_u64UG vzip1_p8EG  vzip1q_p8MG  vzip1_p16MG  vzip1q_p16UG  vzip1q_p64UG  vzip2_f16MG  vzip2q_f16UG  vzip2_f32MG  vzip2q_f32UG  vzip2q_f64UH vzip2_s8EH  vzip2q_s8MֆH  vzip2_s16MH  vzip2q_s16UH  vzip2_s32MH  vzip2q_s32UӔH  vzip2q_s64UH vzip2_u8EH  vzip2q_u8MH  vzip2_u16MѢH  vzip2q_u16UH  vzip2_u32MH  vzip2q_u32UʬH  vzip2q_u64UH vzip2_p8EH  vzip2q_p8MH  vzip2_p16MκH  vzip2q_p16UH  vzip2q_p64UH lısر $,ڲ', 2mγ7tس̐ }nд<ڴ ?o2, nn0 3n1n/ mm>LL|Ѻ Lm$׺8 pmnm9  m m; ll4l NlLlO0 #  L ׈i bd]_Q$Q D^, ו$,ו )Tו 1 ו  $2$, (  ו  $ 2)d *d  ו  $ %< ו  $$4 ו  $)d ו  $*$ ו  $=D ו?C  $,=t וTmG"3ul  $,%ו`D ו ``` ]`{]9ֹ`  $ #KKL$$$$ $$  $ $$<$ԁ&+ KK&L'$'' $'  '  $'*0 їKK*L+$++&$+ ї +  $+89<9 9:,: <6L<  <$<,<<?0d? ו @$@dFF ,G  GH&H  H $H2$HJ/DJ  J $J2$JK `L@L  ``` ]`{]9ֹ` L $L L1  .8< '7,)4@ < A ;=D `$ f \ 2   Vt $ 4      $ , t     $ & \     $ !k $"     " ( " (l" $" {" $&( $(   ( Ⱥ $( HW%  !i,x$mLsӛԟWӛhmBӛ l}#ӛ`@ ӛ ``` ]`{]9ֹ`  $ ,L$T/LHPAC02@"|  b   l d ܸc° 3; J%  8< 7,&`D  ``` ]`{]9ֹ`  $ |! ".!1. Create a new error value with the given kind.!"KH This is a more verbose version of the kind-specific constructors, e.g.,"%" `MatchError::unsupported_stream`.#  $#$%#52 Returns a reference to the underlying error kind.$$   $ $$'-$FC Create a new "invalid anchored search" error. This occurs when the%IF caller requests an anchored search but where anchored searches aren'tt&(&&85 This is the same as calling `MatchError::new` with a&2/ [`MatchErrorKind::InvalidInputAnchored`] kind.'*/(HE Create a new "invalid unanchored search" error. This occurs when the(FC caller requests an unanchored search but where unanchored searches) aren't supported.))8;)41 [`MatchErrorKind::InvalidInputUnanchored`] kind.Ŀ*ش .7+HE Create a new "unsupported stream search" error. This occurs when the,IF caller requests a stream search while using an Aho-Corasick automaton,96 with a match kind other than [`MatchKind::Standard`].--FC The match kind given should be the match kind of the automaton. It-*' should never be `MatchKind::Standard`.. ˞.1</IF Create a new "unsupported overlapping search" error. This occurs when/IF the caller requests an overlapping search while using an Aho-Corasick0C@ automaton with a match kind other than [`MatchKind::Standard`].01F;1*;2˞24(3HE Create a new "unsupported empty pattern" error. This occurs when the3JG caller requests a search for which matching an automaton that contains4-* an empty pattern string is not supported.4 ?%? ? ?8 <   >ܚ!L!  >!,!  ي+! ي+ي+  !,!  $!"4"  $""4"  $""4"  $""      ","  2e$4$  @&4&  r@(4(  ~Ķ/Ջ+<ي+t+p+nË+l+j+hՋ+f  <<    С   $ nD m$  2    T!   #%!;! 4>  խ  ?  !$? A DA  խ  A  $A DZ lD Ò  ? D I< I Òխ  ? I K$ \K  խÒ  K  $K K K,   0 K   \L 4L   ׈L( ,L  խ ׈  L  ׈$L 2M/   0 M    M4 LM  խ ׈  M  ׈$M N/   0 N   \O 4O   ׈O( ,O  խ ׈  O  ׈$O O2   0 O    P4 LP  խ ׈  P  ׈$P Q! խ  Q# $Q խ  { R# խ  R% $R °խ   R խ  S $S խ  S S խ  TT ,T   T> DT    V խ  TV ,V   W> DW    Y խ  TY ,Y   Y> DY    [" խ  T\ ,\   \@ D\   U`  a La    a  $a b* b  b b 8 <n <@ If the given index exceeds the maximum allowed value, then thisnC < returns an error.o + o  o o 84o 8o 8 o 8 o  o o 8,o & o 8,o (o 84p  p , p 8 $p $ p , p 8 p  p  p p  8Tp 'p 8 p  p p 8,p  p 8 p  p p , p 8 $p  p 8

Return the internal value as a `usize`. This is guaranteed to~A < never overflow `usize`.܇ +     84 8 8, 8  8<D      8$ ( 8,    8$   7    8<D    << Return the internal value as a `u64`. This is guaranteed to? < never overflow. +     84 8 8, 8  8_4   Ł   8$ (ǁ 8ʁ  ΁  8$   7    8_4    << Return the internal value as a `u32`. This is guaranteed to? < never overflow `u32`.ׂ +     84 8 8, 8  8_4      8$ ( 8    8$ǃ  ˃ 7 ̃  ̓ 8_4΃  ԃ Ճ << Return the internal value as a `i32`. This is guaranteed to? < never overflow an `i32`.侄 +     84 8 8, 8  8g4      8$ ( 8   ͅ 8$   7    8g4    <- Returns one more than this value as a usize.܅0 < <= Since values represented by a "small index" have constraints@ <> on their maximum value, adding `1` to it will always fit in aA < `usize`, `u32` and a `i32`.ć +     84 8 8  8gD      8$ ( 8,   ֈ 8$   7    8gD  Lj Ȉ <? Decode this value from the bytes given using the native endianB <# byte order for the current target.& < <= If the decoded integer is not representable as a small index@ <4 for the current target, then this returns an error.Ċ7 +     84 8 8  8gl    8?, &     8 %  7  (Ë 84Ƌ  ̋ , ͋ 8 $΋ $ ҋ , ԋ 8 Ջ  ؋  ڋ   8T ' 8gl    8?,   8     ,  8 $   8 <    ,  8  <=B <ľ=& <Í <? This is analogous to `new_unchecked` in that is does not checkӍB <? whether the decoded integer is representable as a small index.B +     84 8 8  8g    8?, &     8 %  7  ( ,  8 $    , я 8 $ҏ  ֏  8T׏ ' 8g    8?, << Return the underlying integer as raw bytes in native endian? < format.\ +     84 8 8  8g\      8$ (    8 %  7     8$ϑ  ӑ 7 ԑ  Ց 8g\֑    <9 Returns an iterator over all values from 0 up to and not< < including the given length.Ȓ < <9 If the given length exceeds this type's limit, then this< <+\͓ 8    8, 8  8 $    8  &  8, ( ,  8 $    ,  8 $ ' 8     8  8$ϕ 8$ԕ 'ؕ 8ڕ 'ݕ 8,ߕ 8  ,  8 $     8  8       8$ $  8  &    8 8$ ' 8 ' 8L ( 8$ ' 8 ' 84     8 Ж  і 8\Җ  ݖ  8Lޖ      ,  8 $   8,      8$   8_4      8finish4    8$   8    8$ ' 8  '— 8Index,ė  ɗ , ʗ 8 $˗  ϗ 8 ї  ՗ ח 8 ֗  ٗ  8!$ 84  8  %  +     84 8  8,      8$ $  8, &  ,  8 $ (   8      ј 8$Ҙ  ֘  8,ט  ܘ 8<Dݘ    8$   8    8$ ' 8  ' 8IndexMutD   ,  8 $   8     8    ͚  + Ù  ę ˙ 84ř 8 ٙ 8Lܙ      8 8$ $  8, &  ,  8 $ (   8 8    Ú   8 8$    8,   8<D    8$ؚ  ܚ 8 ݚ  ޚ 8$ ' 8  ' 8=,   ,  8 $   8  8   8       8!$ 84  8  %  +     84 8 ś 8,ț  ͛   Λ 8$ϛ $ ӛ 8,՛ & ڛ , ܛ 8 $ݛ (   8       8$    8,   8<D    8$   8    8$ ' 8 œ 'Ŝ 8=Dǜ  Ϝ , М 8 $ќ  ՜ 8 ל 8ۜ  ޜ 8 ߜ       +     84 8  8L      8 8$ $  8, &  ,  8 $ (   8 8      ȝ 8ɝ 8$͝  ѝ  8,ҝ  ם 8<D؝    8$ 8$   8T   8  ,  8 $    8  8$   ̞ 8, &  8Tž (Ξ , ў 8 $Ҟ  מ  ,  8 $    8, 8$ 8$   8   8  ,  8 $    8  8$  ğ Ο 8,ş & ʟ 8̟ (П , ӟ 8 $ԟ  ٟ  ,  8 $    8T ' 8$    8, 8$ 8<   8   8  ,  8 $   Ǡ  8!$ՠ 8,ڠ  ,  8  %  8  8D    8, &  8 ( 84   ,  8 $ $  ,  8        8T ' 8D¡  ʡ С 8,ˡ  ѡ 8 ҡ  ա ۡ , ֡ 8 $ס  ܡ 8 <ݡ    ,  8  8$ 8<   8   8  ,  8 $    8!$ 8,  , â 8 Ģ % Ǣ 8 ֢ 8D٢    8, &  8 ( 84   ,  8 $ $  ,  8      أ  8T ' 8D    8,   8     ,  8 $   8 <  ţ ʣ , ƣ 8 ǣ 8$ 8<   8   8  ,  8 $   å 8!$ 8,  ,  8  %  8  8D  ¤ ͤ 8,ä & Ȥ 8ʤ (Ϥ 84Ҥ  ؤ , ٤ 8 $ڤ $ ޤ ,  8        8T ' 8D    8,   8     ,  8 $   8 <    ,  8  8$Υ 8<ӥ  ڥ 8,ۥ   8  ,  8 $    8!$ 8,  ,  8  %  8  8D    8, &  8, ( 84   ,  8 $ $ æ , Ŧ 8 Ʀ  ɦ  ˦   8Tݦ ' 8D    8,   8     ,  8 $   8 <    ,  8  <7 This error occurs when an ID could not be constructed.: < <@ This occurs when given an integer exceeding the maximum allowedC < value.TΨ < <? When the `std` feature is enabled, this implements the `Error`B < trait.T + ˩  ̩  84ͩ  ө  8u,ԩ $ ٩ 8,۩ $  8 $  8L 8 84 ,  8     8Ӫ| %  8$ ,  8    ߫ <8 Returns the value that could not be converted to an ID.; 8 8  8iL      8$ ( 8   ի 8$   7    8iL  ƫ ǫ +     8    8<  7, 8$ 8 ' 8X, ' 8, 8  ,  8     8$ 8$ ' 8 'Ĭ 8<Ƭ 8 ά , Ҭ 8 Ӭ  ׬   8  8       8$ $  8  &    8 8$ ' 8 ' 8L ( 8$ ' 8 ' 84    8),      8 ԭ $ խ 71failed to create {} from {:?}, which exceeds {:?}3 $  8L     Į ,  8 $ $ Ů 8$ۮ  ߮ 8iL    $  ,  8 $ ' 8f $  +    ֯ 84¯  ȯ կ 8u,ɯ $ ί 8,Я 8    8, 84 ,  8 $    8t %  8$ ,  8 $    8  8     8  &  8, ( ,  8 $°  ǰ  84ٰ  ߰   Բ 8   ,  8 $ ' 8f, $  7Xcannot create iterator for {} when number of \ elements exceed {:?}Z $  8L      ,  8 $ $  ,  8 $ ' 8f, $ ² % ղ ,  8 $    8t    8 &  7  ! 8  8$ 8D 8  ,  8 $  Ƴ ٴ 8!$Գ 8$ٳ ޳ ,  8 $ %  8  8 $      8 8$ ( 84   ,  8 $     ϴ  8$   7    8 $      8     ,  8 $ <D An iterator adapter that is like std::iter::Enumerate, but attachesG <@ small index values instead. It requires `ExactSizeIterator`. AtC <? construction, it ensures that the index of each element in theB <A iterator is representable in the corresponding small index type.˶D +     84    8u, $  8, 8    8, 84÷ , ʷ 8=D˷  ӷ 8 Է  շ  ׷   8z &  8  $  8 &  ,  8 $ $  8$   8  &  8D  8ExactSizeIterator   ,  8=D  Ƹ 8 Ǹ  ȸ  ʸ   8 ظ 8 ۸  ޸  8z߸ &  8  ( ,  8=D   8      ۹  8 8  ,  8 $ ' 8 $    8z   8     %  ,  8=D  ù ͹ 8zŹ $ ǹ 8ɹ 8$   8  &  8D  8>   8D 8  ,  8=D   8       8!$ 8$ú Ⱥ  ʺ ٺ , ˺ 8 $̺ $ к 8 Һ 'Ӻ 8$պ % ں 8  8 $      8 8$ ( 84      ,  8 $ $  8  ' 8$      8 8 $  8$   8z   8 $   » - û % Ļ 8ؼ 8xܼ ߼ 8$   8   8 $      84    %  8$       8x $  8 $ %  +    ي+ KD ي+,>ي+8>+  g  $  ,, K |c t $  ,, Ɯ> @|(   ӌ'  KD D A  +l'   >ޒ>ޒ < >$ KMl  $B$ k k   $ >|$ >T$ > $S<$.0%   ԁ    >$'y$(  > k   ( פ>|(>T( >$( (.(.(79+6,+ > k   + פ>|+>T+ >$+ +%',7   ԁ    >- $Aؼ B(DB  ؼ  B $BxBC.\C  ؼ  C $C,CG&     GLG   G $GH5\H   H $H.H.HI5,I ؒ .   I .I.I.; This routine is generic over how a span is provided. While"<9 a [`Span`] may be given directly, one may also provide a"DA `std::ops::Range`. To provide anything supported by range#,) syntax, use the [`Input::range`] method.##,) The default span is the entire haystack.$$DA Note that [`Input::range`] overrides this method and vice versa.$d$'$$HE This panics if the given span does not correspond to valid bounds in%0- the haystack or the termination of a search.%l%'&&FC This example shows how the span of the search can impact whether a& match is reported or not.'<'ӈ''6''')& let patterns = &["b", "abcd", "abc"];ԋ('((#'(-ŏ'Č)')')0- let input = Input::new(haystack).span(0..3);)@(*KH // Without the span stopping the search early, 'abcd' would be reported+63 // because it is the correct leftmost-first match.+-(++.(<,ӈ'$,$ m   $ ,$T,  $$,mb684D-63 Like `Input::span`, but accepts any range instead.-.-* The default range is the entire haystack...C@ Note that [`Input::span`] overrides this method and vice versa./d/'//EB This routine will panic if the given range could not be converted/B? to a valid [`Range`]. For example, this would panic when given0EB `0..=usize::MAX` since it cannot be represented using a half-open0! interval in terms of `usize`.11FC This routine also panics if the given range does not correspond to1@= valid bounds in the haystack or the termination of a search.2l2'2<2ӈ'2 use aho_corasick::Input;33%" let input = Input::new("foobar");3(% assert_eq!(0..6, input.get_range());332/ let input = Input::new("foobar").range(2..=4);4(% assert_eq!(2..5, input.get_range());<4ӈ',4    * 4!5  $5m57N65%" Sets the anchor mode of a search.66IF When a search is anchored (via [`Anchored::Yes`]), a match must begin6C@ at the start of a search. When a search is not anchored (that's7FC [`Anchored::No`]), searchers will look for a match anywhere in thel8 haystack.8863 By default, the anchored mode is [`Anchored::No`].88# # Support for anchored searches99B? Anchored or unanchored searches might not always be available,9A> depending on the type of searcher used and its configuration:::C@ * [`noncontiguous::NFA`](crate::nfa::noncontiguous::NFA) always:30 supports both unanchored and anchored searches.;KH * [`contiguous::NFA`](crate::nfa::contiguous::NFA) always supports both;%" unanchored and anchored searches.<<9 * [`dfa::DFA`](crate::dfa::DFA) supports only unanchored< searches by default.# or even just anchored searches.>FC * [`AhoCorasick`](crate::AhoCorasick) inherits the same setup as a?GD `DFA`. Namely, it only supports unanchored searches by default, but?M-@ can change this.@@JG If you try to execute a search using a `try_` ("fallible") method withAIF an unsupported anchor mode, then an error will be returned. For callsA63 to infallible search methods, a panic will result.BlB'BBDA This demonstrates the differences between an anchored search andCIF an unanchored search. Notice that we build our `AhoCorasick` searcherCDA with [`StartKind::Both`] so that it supports both unanchored andD%" anchored searches simultaneously.DMM.( the patterns `abc` and `b`, and a haystack of `abc`, a normalQIF leftmost-first search will return `abc` as a match. But an "earliest"RHE search will return as soon as it is known that a match occurs, whichR happens once `b` is seen.RRGD Note that when using [`MatchKind::Standard`], the "earliest" optionSGD has no effect since standard semantics are already "earliest." NoteTKH also that this has no effect in overlapping searches, since overlappingTIF searches also use standard semantics and report all possible matches.UU  This is disabled by default.UlU'UVFC This example shows the difference between "earliest" searching andV normal leftmost searching.VZ@(Z-([[FC // The "earliest" possible match, even if it isn't leftmost-first.[4(\@(\+(]].(<]ӈ'D]   $]d2^/, Set the span for this search configuration.__DA This is like the [`Input::span`] method, except this mutates the_ span in place.__>>`<в>` `std::ops::Range`.ada'aaHѵ>b0>blb'bcc)& let mut input = Input::new("foobar");c(>c input.set_span(2..4);d(% assert_eq!(2..4, input.get_range()); d>Td  $$dmT*,n<g?< Set the span for this search configuration given any range.hhEB This is like the [`Input::range`] method, except this mutates theh>hdh'iiEþ>iB>jEܿ>j!>kkF>k@>lll'lll)>m(>m input.set_range(2..=4);m(>n  $nm*,o,oz)uGD Set the starting offset for the span for this search configuration.vvGD This is a convenience routine for only mutating the start of a spanw*' without having to set the entire span.wdw'wwHѵ>x0>xlx'xyy)>y(>z input.set_start(5);z(% assert_eq!(5..6, input.get_range());}d}'}}Hѵ>~0>~l~'~<~ӈ'~>)>(> input.set_end(5);(% assert_eq!(0..5, input.get_range());<ӈ'<     $.Ɓ$! Set the anchor mode of a search.B? This is like [`Input::anchored`], except it mutates the searchܾ configuration in place.ނl'<ӈ'(% use aho_corasick::{Anchored, Input};)>30 assert_eq!(Anchored::No, input.get_anchored());&# input.set_anchored(Anchored::Yes);ڄ41 assert_eq!(Anchored::Yes, input.get_anchored());<ӈ'd     $ƅ$ω)DA Set whether the search should execute in "earliest" mode or not.І؆B? This is like [`Input::earliest`], except it mutates the searchܟ>lLJ'ه<ӈ'>)>Ĉ# assert!(!input.get_earliest()); input.set_earliest(true);" assert!(input.get_earliest());<ӈ'd։     $C@ Return a borrow of the underlying haystack as a slice of bytes.l'<ӈ'䙋>‹%>,) assert_eq!(b"foobar", input.haystack());<ӈ'D    nj  $Ȍ䟐-* Return the start position of this search.B? This is a convenience routine for `search.get_span().start()`.l'<ӈ'䩎>ʎҎ%>! assert_eq!(0, input.start());0- let input = Input::new("foobar").span(2..4);ߏ! assert_eq!(2, input.start());<ӈ',     $Ԅ+( Return the end position of this search.@= This is a convenience routine for `search.get_span().end()`.l'<ӈ'䒒>%> assert_eq!(6, input.end());0?Ɠ assert_eq!(4, input.end());<ӈ'     $ٗȔ2/ Return the span for this search configuration.JG If one was not explicitly set, then the span corresponds to the entire֕ range of the haystack.l'<ӈ'$! use aho_corasick::{Input, Span};̖Ԗ%><9 assert_eq!(Span { start: 0, end: 6 }, input.get_span());<ӈ'D     $'=: Return the span as a range for this search configuration.٘J֏?԰?ϙlי'<ӈ'>%>К(><ӈ'L ׿    $Ο&;8 Return the anchored mode for this search configuration.FC If no anchored mode was set, then it defaults to [`Anchored::No`].l'<ӈ'(>ڝ)>3>ȞО&>4><ӈ'd՟     $"A> Return whether this search should execute in "earliest" mode.ޠl'<ӈ'䌡>%>ߡ#?<ӈ'd     $쭧IF Return true if this input has been exhausted, which in turn means all/, subsequent searches will return no matches.KH This occurs precisely when the start position of this search is greater(% than the end position of the search.l'<ӈ'䜥>ť)> assert!(!input.is_done()); input.set_start(6);?զ input.set_start(7); assert!(input.is_done());<ӈ'<     $'   ` @  ``` ]`{]9ֹ`    $ ƨ; m  > >\  $&ɬ%$̬   n˕L #! Returns this span as a range., ׿   $˸GD Returns true when this span is empty. That is, when `start >= end`.DҸ   ۸ $ܸԥ$! Returns the length of this span.ǹKH This returns `0` in precisely the cases that `is_empty` returns `true`.    $-EB Returns true when the given offset is contained within this span.û˻FC Note that an empty span contains no offsets and will always returnT false.D   ü $ļ +KH Returns a new span with `offset` added to this span's `start` and `end`\ values.4    $  ` ÿ@ƿ  ``` ]`{]9ֹ`  ʿ $˿ ѿ$  \4  %, Ű?   $:L'   1L ?   $#  \4  $, ?   $   $$׿  m! ׿  #$׿  mYL%  *  ׿   $m%׿  ! ׿    $m l !KH Returns true if and only if this anchor mode corresponds to an anchored\߮)l'<ӈ' use aho_corasick::Anchored;)& assert!(!Anchored::No.is_anchored());)& assert!(Anchored::Yes.is_anchored());<ӈ'\    $T ?41 Create a new match from a pattern ID and a span.B? This constructor is generic over how a span is provided. While<в>>d'! This panics if `end < start`.l'@= This shows how to create a match for the first pattern in an85 Aho-Corasick searcher using convenient range syntax.<ӈ')& use aho_corasick::{Match, PatternID};/, let m = Match::new(PatternID::ZERO, 5..10);*' assert_eq!(0, m.pattern().as_usize()); assert_eq!(5, m.start()); assert_eq!(10, m.end());<ӈ'°% m   % %T%3{m{-/<@= Create a new match from a pattern ID and a byte offset span.B?<в>>C@ This is like [`Match::new`], but accepts a `usize` instead of aHE [`PatternID`]. This panics if the given `usize` is not representable as a `PatternID`.d'B? This panics if `end < start` or if `pattern > PatternID::MAX`.l'@= This shows how to create a match for the third pattern in an8?<ӈ' use aho_corasick::Match;" let m = Match::must(3, 5..10);*' assert_eq!(3, m.pattern().as_usize());??<ӈ'$% m   ? ?T %3xmx')"/, Returns the ID of the pattern that matched.DA The ID of a pattern is derived from the position in which it wasJG originally inserted into the corresponding searcher. The first patternJG has identifier `0`, and each subsequent pattern is `1`, `2` and so on.< °   $'$ The starting position of the match.<9 This is a convenience routine for `Match::span().start`.,    $ԓ%" The ending position of the match.:7 This is a convenience routine for `Match::span().end`.    $.&# Returns the match span as a range.>; This is a convenience routine for `Match::span().range()`., ׿   $$! Returns the span for this match.$    $63 Returns true when the span in this match is empty.DA An empty match can only be returned when empty pattern is in theԬ Aho-Corasick searcher.D    $Դ%" Returns the length of this match.K?    $,KH Returns a new match with `offset` added to its span's `start` and `end`\٫?4    $ >vԟ41 The default match kind is `MatchKind::Standard`.  <ê  t (\    $(\    $.   ȭ $ɭBL 92g   $Ԟ  ̿<½  <<   d   $   =?< An automaton for searching multiple strings in linear time.GD The `AhoCorasick` type supports a few basic ways of constructing anJG automaton, with the default being [`AhoCorasick::new`]. However, thereFC are a fair number of configurable options that can be set by usingMJ [`AhoCorasickBuilder`] instead. Such options include, but are not limitedOL to, how matches are determined, simple case insensitivity, whether to use aMJ DFA or not and various knobs for controlling the space-vs-time trade offs&# taken when building the automaton. # Resource usageHE Aho-Corasick automatons are always constructed in `O(p)` time, whereHE `p` is the combined length of all patterns being searched. With that MJ said, building an automaton can be fairly costly because of high constant NK factors, particularly when enabling the [DFA](AhoCorasickKind::DFA) option MJ with [`AhoCorasickBuilder::kind`]. For this reason, it's generally a good EB idea to build an automaton once and reuse it as much as possible.  EB Aho-Corasick automatons can also use a fair bit of memory. To get C@ a concrete idea of how much memory is being used, try using the )& [`AhoCorasick::memory_usage`] method.  @= To give a quick idea of the differences between Aho-Corasick MJ implementations and their resource usage, here's a sample of constructionGD times and heap memory used after building an automaton from 100,000,) randomly selected titles from Wikipedia:1. * 99MB for a [`noncontiguous::NFA`] in 240ms..+ * 21MB for a [`contiguous::NFA`] in 275ms.(% * 1.6GB for a [`dfa::DFA`] in 1.88s.MJ (Note that the memory usage above reflects the size of each automaton andJG not peak memory usage. For example, building a contiguous NFA requiresMJ first building a noncontiguous NFA. Once the contiguous NFA is built, the  noncontiguous NFA is freed.)KH This experiment very strongly argues that a contiguous NFA is often theOL best balance in terms of resource usage. It takes a little longer to build,IF but its memory usage is quite small. Its search speed (not listed) isJG also often faster than a noncontiguous NFA, but a little slower than aKH DFA. Indeed, when no specific [`AhoCorasickKind`] is used (which is the52 default), a contiguous NFA is used in most cases.NK The only "catch" to using a contiguous NFA is that, because of its varietyOL of compression tricks, it may not be able to support automatons as large asMJ what the noncontiguous NFA supports. In which case, building a contiguousHE NFA will fail and (by default) `AhoCorasick` will automatically fallKH back to a noncontiguous NFA. (This typically only happens when buildingOL automatons from millions of patterns.) Otherwise, the small additional time?< for building a contiguous NFA is almost certainly worth it.l # CloningMJ The `AhoCorasick` type uses thread safe reference counting internally. It,) is guaranteed that it is cheap to clone.Ԁ # Search configurationMJ Most of the search routines accept anything that can be cheaply convertedFC to an [`Input`]. This includes `&[u8]`, `&str` and `Input` itself.Ը # Construction failureLI It is generally possible for building an Aho-Corasick automaton to fail.LI Construction can fail in generally one way: when the inputs provided areIF too big. Whether that's a pattern that is too long, too many patternsMJ or some combination of both. A first approximation for the scale at whichEB construction can fail is somewhere around "millions of patterns."FC For that reason, if you're building an Aho-Corasick automaton from LI untrusted input (or input that doesn't have any reasonable bounds on its JG size), then it is strongly recommended to handle the possibility of anT!'!!KH If you're constructing an Aho-Corasick automaton from static or trusted"IF data, then it is likely acceptable to panic (by calling `unwrap()` or"&# `expect()`) if construction fails."# # Fallibility##MJ The `AhoCorasick` type provides a number of methods for searching, as one#KH might expect. Depending on how the Aho-Corasick automaton was built and$IF depending on the search configuration, it is possible for a search to$OL return an error. Since an error is _never_ dependent on the actual contents%LI of the haystack, this type provides both infallible and fallible methods&NK for searching. The infallible methods panic if an error occurs, and can be&JG used for convenience and when you know the search will never return anT''''HE For example, the [`AhoCorasick::find_iter`] method is the infallible(96 version of the [`AhoCorasick::try_find_iter`] method.((&# Examples of errors that can occur:((LI * Running a search that requires [`MatchKind::Standard`] semantics (such)LI as a stream or overlapping search) with an automaton that was built with*MJ [`MatchKind::LeftmostFirst`] or [`MatchKind::LeftmostLongest`] semantics.*EB * Running an anchored search with an automaton that only supports+LI unanchored searches. (By default, `AhoCorasick` only supports unanchored+OL searches. But this can be toggled with [`AhoCorasickBuilder::start_kind`].),GD * Running an unanchored search with an automaton that only supports- anchored searches.--LI The common thread between the different types of errors is that they are-JG all rooted in the automaton construction and search configurations. If.JG those configurations are a static property of your program, then it is/MJ reasonable to call infallible routines since you know an error will never/DA occur. And if one _does_ occur, then it's a bug in your program.00KH To re-iterate, if the patterns, build or search configuration come from0LI user or untrusted data, then you should handle errors at build or search1LI time. If only the haystack comes from user or untrusted data, then there2NK should be no need to handle errors anywhere and it is generally encouraged2C@ to `unwrap()` (or `expect()`) both build and search time calls.3t3'33IF This example shows how to search for occurrences of multiple patterns3IF simultaneously in a case insensitive fashion. Each match includes the4B? pattern that matched along with the byte offsets of the match.5<5ӈ'5/'552/ let patterns = &["apple", "maple", "snapple"];5IF let haystack = "Nobody likes maple in their apple flavored Snapple.";66#'6%)Ď7'7'7(7'$ for mat in ac.find_iter(haystack) {8>; matches.push((mat.pattern(), mat.start(), mat.end()));,8(8 assert_eq!(matches, vec![8%" (PatternID::must(1), 13, 18),9%" (PatternID::must(0), 28, 33),9%" (PatternID::must(2), 43, 50),<9 ]);<9ӈ'99EB This example shows how to replace matches with some other string::<:ӈ':"'::.);*);2);;1'<85 let result = ac.replace_all(haystack, replace_with);>   @$@   NTN       = ,=DA An iterator of non-overlapping matches in a particular haystack.LI This iterator yields matches according to the [`MatchKind`] used by thist,GD This iterator is constructed via the [`AhoCorasick::find_iter`] and+( [`AhoCorasick::try_find_iter`] methods.LI The lifetime `'a` refers to the lifetime of the `AhoCorasick` automaton.LI The lifetime `'h` refers to the lifetime of the haystack being searched.D   )DQ   t s y yZSZR   @    1   @$$    ` |~$$  ``` ]`{]9ֹ`    ,$@= An iterator of overlapping matches in a particular haystack.LI This iterator will report all possible matches in a particular haystack," even when the matches overlap.OL This iterator is constructed via the [`AhoCorasick::find_overlapping_iter`];8 and [`AhoCorasick::try_find_overlapping_iter`] methods.L@Lҥ@    |20   t s y %)Y   @    <   @w'w'     ` |~w'w'  ``` ]`{]9ֹ`    ,w' >; An iterator that reports Aho-Corasick matches in a stream.JG This iterator yields elements of type `Result`,FC where an error is reported if there was a problem reading from theNK underlying stream. The iterator terminates only when the underlying stream reaches `EOF`.NK This iterator is constructed via the [`AhoCorasick::stream_find_iter`] and2/ [`AhoCorasick::try_stream_find_iter`] methods.LI The type variable `R` refers to the `io::Read` stream that is being readL from.A> The lifetime `'a` refers to the lifetime of the corresponding [`AhoCorasick`] searcher.  8< 7,t   * |'   u z~E2C   @   6   @{){)    *1`{) ` WZ{){)  ``` ]`{]9ֹ`   ,{)85 A builder for configuring an Aho-Corasick automaton. # Quick adviceGD * Use [`AhoCorasickBuilder::match_kind`] to configure your searcherKH with [`MatchKind::LeftmostFirst`] if you want to match how backtracking?< regex engines execute searches for `pat1|pat2|..|patN`. UseOL [`MatchKind::LeftmostLongest`] if you want to match how POSIX regex enginesT do it.OL * If you need an anchored search, use [`AhoCorasickBuilder::start_kind`] toOL set the [`StartKind::Anchored`] mode since [`StartKind::Unanchored`] is theOL default. Or just use [`StartKind::Both`] to support both types of searches.MJ * You might want to use [`AhoCorasickBuilder::kind`] to set your searcherLI to always use a [`AhoCorasickKind::DFA`] if search speed is critical andMJ memory usage isn't a concern. Otherwise, not setting a kind will probablyMJ make the right choice for you. Beware that if you use [`StartKind::Both`]KH to build a searcher that supports both unanchored and anchored searchesLI _and_ you set [`AhoCorasickKind::DFA`], then the DFA will essentially beOL duplicated to support both simultaneously. This results in very high memoryT usage.OL * For all other options, their defaults are almost certainly what you want. [E lܥ )   #t      $   T   +-+-  +-+-   ,11 ` 11  ``` ]`{]9ֹ`   ,1""  ""  HE The type of Aho-Corasick implementation to use in an [`AhoCorasick`]l searcher./, This is principally used as an input to theOL [`AhoCorasickBuilder::start_kind`] method. Its documentation goes into more술 detail about each choice.2|&@$    䄡 Use a noncontiguous NFA.,  LN  l١̻ Use a contiguous NFA.)  IK  DA Use a DFA. Warning: DFAs typically use a large amount of memory.U  uw  8     , Ƞ;U;U ` ;U;U  ``` ]`{]9ֹ`  Π ,Π;UVV  VVVVV8VVV  !ՠ ՠVVVV  VV   "٠ L٠ V܍ : 7 Represents the current state of an overlapping search. K H This is used for overlapping searches since they need to know somethingO L about the previous search. For example, when multiple patterns match at theO L same position, this state tracks the last reported pattern so that the nextL I search knows whether to report another matching pattern or continue withM J the search at the next position. Additionally, it also tracks which stateK H the last search call terminated in and the current offset of the search  in the haystack. K H This type provides limited introspection capabilities. The only thing aN K caller can do is construct it and pass it around to permit search routinesH E to use it to track state, and to ask whether a match has been found. ? < Callers should always provide a fresh state constructed viaK H [`OverlappingState::start`] when starting a new search. That same stateK H should be reused for subsequent searches on the same `Input`. The stateN K given will advance through the haystack itself. Callers can detect the end> ; of a search when neither an error nor a match is returned. l ' O L This example shows how to manually iterate over all overlapping matches. If+ ( you need this, you might consider usingU R [`AhoCorasick::find_overlapping_iter`](crate::AhoCorasick::find_overlapping_iter)G D instead, but this shows how to correctly use an `OverlappingState`. < ӈ' '$ '" '4 ' 3 '5 ' 1 '. ' ( T (2 / ac.find_overlapping(haystack, &mut state);+ (ԉ ( (T ( (, ( ( ( ( ( ( ( (4 (" (< ӈ' ,$=     À    L        44  44  )  , {{ ` {{  ``` ]`{]9ֹ` *  , { D @ L @t , M J This iterator is constructed via the [`Automaton::try_find_iter`] method. K H The type variable `A` refers to the implementation of the [`Automaton`]% " trait used to execute the search. A > The lifetime `'a` refers to the lifetime of the [`Automaton`]  implementation. L ҥ@D      ,   T ZSZR   @B=   , ,   , t        ,` `  DG  ``` ]`{]9ֹ` +    , ) @ @ؙ ܙL ګ@" @̚ К( % This iterator is constructed via the4 1 [`Automaton::try_find_overlapping_iter`] method. K @% @ A @ @ L ҥ@      ,  @T %)Y   9;=   , ,   , ,   77     ,@7 ` 2577  ``` ]`{]9ֹ` .؝    ,؝ 7# 1 . An iterator that reports matches in a stream. M J This iterator yields elements of type `io::Result`, where an errorJ G is reported if there was a problem reading from the underlying stream.J G The iterator terminates only when the underlying stream reaches `EOF`.ѣ գL I This iterator is constructed via the [`Automaton::try_stream_find_iter`]\  method. K @% @ L @L @ A @Ŧ @ۦ  ަ  8<ߦ  7, ٦ t      €-  Ԁ-   T ~E2C  >@BD쬧    <<     €-Ԁ-`<`< `  <<  ``` ]`{]9ֹ` /   , <     8<  7,  |      €- Ǵ Ԁ- ʴ A^HZ[2 ô CEGI   4    ߹ ߹   t ,   d     d    T   ԋ    AA     €-Ԁ-AAAA ` (+.1AA  ``` ]`{]9ֹ` 0   , A     8<  7,  \ |  eԠ_1    D؂   | ,   |,   | ,   ATă ă   |   `   ``` ]`{]9ֹ` 1  |, t ) & A DFA implementation of Aho-Corasick. N K When possible, prefer using [`AhoCorasick`](crate::AhoCorasick) instead ofO L this type directly. Using a `DFA` directly is typically only necessary when? < one needs access to the [`Automaton`] trait implementation. N K This DFA can only be built by first constructing a [`noncontiguous::NFA`].O L Both [`DFA::new`] and [`Builder::build`] do this for you automatically, but F C [`Builder::build_from_noncontiguous`] permits doing it explicitly.  O L A DFA provides the best possible search performance (in this crate) via two| mechanisms:  B ? * All states use a dense representation for their transitions. G D * All failure transitions are pre-computed such that they are never & # explicitly handled at search time.  J G These two facts combined mean that every state transition is performed C @ using a constant number of instructions. However, this comes at B ? great cost. The memory usage of a DFA can be quite exorbitant. A > It is potentially multiple orders of magnitude greater than aN K [`contiguous::NFA`](crate::nfa::contiguous::NFA) for example. In exchange,O L a DFA will typically have better search speed than a `contiguous::NFA`, but  not by orders of magnitude. O L Unless you have a small number of patterns or memory usage is not a concernM J and search performance is critical, a DFA is usually not the best choice. F C Moreover, unlike the NFAs in this crate, it is costly for a DFA toF C support for anchored and unanchored search configurations. Namely,H E since failure transitions are pre-computed, supporting both anchoredK H and unanchored searches requires a duplication of the transition table,N K making the memory usage of such a DFA ever bigger. (The NFAs in this crateO L unconditionally support both anchored and unanchored searches because thereJ G is essentially no added cost for doing so.) It is for this reason thatJ G a DFA's support for anchored and unanchored searches can be configuredK H via [`Builder::start_kind`]. By default, a DFA only supports unanchoredl ( l ' K H This example shows how to build an `DFA` directly and use it to execute  [`Automaton::try_find`]: < ӈ' ' +  dfa::DFA,  Input, Match,4 ' ) ' ' * ' let nfa = DFA::new(patterns).unwrap();| '# Some(Match::must(0, 1..2)),- * nfa.try_find(&Input::new(haystack))?,4 '. (< ӈ' L I It is also possible to implement your own version of `try_find`. See the/ , [`Automaton`] documentation for an example.$ 3bTZ|7]  ,    <        d   ǔ ! L!   Õ " T"   " L"   & d&   t' <'   ̙) d)   ו) |)   * |*   + <+   KK  KK  J  , q o2 / A builder for configuring an Aho-Corasick DFA.o o; 8 This builder has a subset of the options available to apM J [`AhoCorasickBuilder`](crate::AhoCorasickBuilder). Of the shared options,p  their behavior is identical.>|1h t $   !d!  ǔ "L"  "L"  Õ #T#  $d$  ̬&d&  ו'|'  '|'  (<(           ,wY,w  #g)ZS wlx$x  yLy  z,z  DD    DD  w  ,w|ZT|      |4}Z  ~<~  י.,  י.قZ  Lǃ,ǃ  L$  ,Z  ăl  י.EE    EE  |  ,|=: A builder for configuring an Aho-Corasick contiguous NFA.;AMAț Ab<rŞ9 %l  Ŝ\Ŝ  ݜdݜ  ,,  ,,   ,gg ` gg  ``` ]`{]9ֹ`  ,gt 7 4 A noncontiguous NFA implementation of Aho-Corasick. N AK żAD A I F This NFA represents the "core" implementation of Aho-Corasick in this K H crate. Namely, constructing this NFA involving building a trie and then I F filling in the failure transitions between states, similar to what is C @ described in any standard textbook description of Aho-Corasick.  O L In order to minimize heap usage and to avoid additional construction costs, L I this implementation represents the transitions of all states as distinct L I sparse memory allocations. This is where it gets its name from. That is, O L this NFA has no contiguous memory allocation for its transition table. Each "  state gets its own allocation.  M J While the sparse representation keeps memory usage to somewhat reasonableI F levels, it is still quite large and also results in somewhat mediocreK H search performance. For this reason, it is almost always a good idea toI F use a [`contiguous::NFA`](crate::nfa::contiguous::NFA) instead. It isO L marginally slower to build, but has higher throughput and can sometimes useM J an order of magnitude less memory. The main reason to use a noncontiguousJ G NFA is when you need the fastest possible construction time, or when aO L contiguous NFA does not have the desired capacity. (The total number of NFA: 7 states it can have is fewer than a noncontiguous NFA.) l ' K A A < ӈ' ' + + A4 ' ) 'Զ ' * A| '# A- A4 '. (< ӈ' L ȮA/ Ag hG_  T    4   & 4&   * ,*   , <,   . d.   ǔ / L/   Õ 1 d1   ו3 |3   4 |4   < <<   nunu  nunu    ,  k, P3 | 4   t ,    <   l $    ,   խ55  55    , 8888 ` 8888  ``` ]`{]9ֹ`   , 88 lT F1! D $   l $   l $   ~<~<~<~<~<8~<~<~<~<~<  ~<~<    ,   <<  <<  d n, ~_V_  t    °l $   =====8=====  ==    ,   V>V>  V>V>   @ = A builder for configuring an Aho-Corasick noncontiguous NFA. ; AM A Ap< $\iM   T   | L        \   ++  ++    , @@ ` @@  ``` ]`{]9ֹ`   , @ sD   ߁64   <   /Ē LĒ   D     <   /N/N  ߁ ` /N/N ߁ ``` ]`{]9ֹ`    , /N }L j5 ´ ´   AA ` AA  ``` ]`{]9ֹ`   , AJG A knob for controlling the match semantics of a packed multiple stringl@OL This differs from the [`MatchKind`](crate::MatchKind) type in the top-levelGD crate module in that it doesn't support "standard" match semantics,IF and instead only supports leftmost-first or leftmost-longest. Namely,HE "standard" semantics cannot be easily supported by packed searchers.FC For more information on the distinction between leftmost-first andEB leftmost-longest, see the docs on the top-level `MatchKind` type.OL Unlike the top-level `MatchKind` type, the default match semantics for this type are leftmost-first.2Ljp"䖠   l GD Use leftmost-first match semantics, which reports leftmost matches. @= When there are multiple possible leftmost matches, the match HE corresponding to the pattern that appeared earlier when constructing  the automaton is reported.   This is the default.B  cf  |  IF Use leftmost-longest match semantics, which reports leftmost matches. HE When there are multiple possible leftmost matches, the longest matcht  is chosen.    @@@@@8@@@@@@@   , `  ``` ]`{]9ֹ` ,8     L  =: The configuration for a packed multiple pattern searcher.  KH The configuration is currently limited only to being able to select theNK match semantics (leftmost-first or leftmost-longest) of a searcher. In the-* future, more knobs may be made available.NK A configuration produces a [`packed::Builder`](Builder), which in turn canHE be used to construct a [`packed::Searcher`](Searcher) for searching.l'KH This example shows how to use leftmost-longest semantics instead of the default (leftmost-first).<ӈ'?< use aho_corasick::{packed::{Config, MatchKind}, PatternID};"/  let searcher = Config::new()/' .builder() .add("foo") .add("foobar") .build()?;*//!''2/ assert_eq!(vec![PatternID::must(1)], matches);/'/:/\//t/'/</<ӈ'4bd`|$,tƚƚģ  ,`  ``` ]`{]9ֹ` ,tE8 ,)+L)+  ,`  ``` ]`{]9ֹ` ,:3OL A builder for constructing a packed searcher from a collection of patterns.4l4'44GD This example shows how to use a builder to construct a searcher. By552 default, leftmost-first match semantics are used.5<5ӈ'5@= use aho_corasick::{packed::{Builder, MatchKind}, PatternID};66"/6! let searcher = Builder::new()6B7B7˭B7*/7/7!'8'8//8/8'/9:/\9/9/t:/:'/<:/<:ӈ'<:ԅt;4;\<,<<D<ԅ ԅԅ: ,:^^ԅ`^^ ԅ ``` ]`{]9ֹ`: ,:^iaKH A packed searcher for quickly finding occurrences of multiple patterns.bbMJ If callers need more flexible construction, or if one wants to change thebMJ match semantics (either leftmost-first or leftmost-longest), then one cancNK use the [`Config`] and/or [`Builder`] types for more fine grained control.cld'ddMJ This example shows how to create a searcher from an iterator of patterns.d85 By default, leftmost-first match semantics are used.eoID <D  T$zYzY< `zYzY  ``` ]`{]9ֹ`ί < ,ίzYDE:~W|$ , ̿ ,  \ Ԣ  4444  ,dd`dd  ``` ]`{]9ֹ` ,d6!\6?` <66D6 ?D6 6CzCz?`CzCz  ``` ]`{]9ֹ`6 ?,6Cz$-<: 9^b  -ZB  :D:B{{ ik{{ :  ,:ܘ L z53^> D $<|DL....   , `  ``` ]`{]9ֹ`  , ̌<.(]Dƚ \ ƚ Ā   ,`  ``` ]`{]9ֹ` ,eDf̌zxii77I7 67676;!idik\k<<̌<< ̌̌e ,ekǩ`kk ̌ ``` ]`{]9ֹ`e ,ek.DE1ŢU2,)<E1}  E,E1`6  ``` ]`{]9ֹ` E, f / @=h  ̌ @!=   ̐̐   f / @=h  ̌ @!=   ̐̐   f / @=h  ̌ @!=   ̐̐  9F f / @=h  ̌ @!=   ̐̐  , t°,̐t̐GGGGG8GGGGGGG  , NN`NN  ``` ]`{]9ֹ` ,N -$ EE0 0 xUti'),, | ,   , EE00  4   E, EE00 ``4  ``` ]`{]9ֹ`  E, X,XEE0 X0X‘K*&_'),,XY,YYZ,ZEE00XC‘, ‘‘X E,X//EE00XC/‘`,// ‘ ``` ]`{]9ֹ`X E,X/ɫ",ЫI1֫_ <ܫ߬D߬"<֯I1֫  I,""I1֫``""  ``` ]`{]9ֹ` I,"tȍ$ύE0 ԍ"u5M ",ݍݍ,QQE0CQQQ  ,  E0xDRRE0CR`RR  ``` ]`{]9ֹ` ,R|ʓch|hddkjkjʓkjkj ʓʓ ,CkCkʓCkCkʓ t(ԃvNddlllll8lllllll  ,*  llll Q\וBA7H וQD ו L 0K0K0K0K0K80K0K0Kו0K0Kו0K0K וו , ו#l#©##׿9}9}`9}9}  ``` ]`{]9ֹ`# ,#9}%'% C%Ĉ&<&  וL&,&&$,& `  ``` ]`{]9ֹ`%  ,%),* їG"3ul**D**,*   ї`   ї ``` ]`{]9ֹ`)  ,) Wd8T0{XWD <8ffff 8 ,8>>`>>  ``` ]`{]9ֹ`8 ,8>̳D! Examples of misconfiguration:OL * Executing a stream or overlapping search on a searcher that was built wasLI something other than [`MatchKind::Standard`](crate::MatchKind::Standard)t semantics.NK * Requested an anchored or an unanchored search on a searcher that doesn't:7 support unanchored or anchored searches, respectively.NCT =T b̽DJlC !!   , `  ``` ]`{]9ֹ`  , 8    hhhhhh    L  h75,) The underlying kind of a [`MatchError`].55NK This is a **non-exhaustive** enum. That means new variants may be added in6  a semver-compatible release.26t7*i *`87IF An error indicating that an anchored search was requested, but from a852 searcher that was built without anchored support.98KH An error indicating that an unanchored search was requested, but from a974 searcher that was built without unanchored support.;:@= An error indicating that a stream search was attempted on an:;8 Aho-Corasick automaton with an unsupported `MatchKind`.t;;85 The match semantics for the automaton that was used.;=DA An error indicating that the operation requested doesn't support>41 automatons that contain an empty pattern string. 7 ,7||`||  ``` ]`{]9ֹ`7 ,7|8 7 7  7 L7 *' A prefilter for accelerating a search.OL This crate uses prefilters in the core search implementations to accelerateLI common cases. They typically only apply to cases where there are a smallMJ number of patterns (less than 100 or so), but when they do, thoughput canOL be boosted considerably, perhaps by an order of magnitude. When a prefilterNK is active, it is used whenever a search enters an automaton's start state.2/ Currently, prefilters cannot be constructed by74 callers. A `Prefilter` can only be accessed via theDA [`Automaton::prefilter`](crate::automaton::Automaton::prefilter)KH method and used to execute a search. In other words, a prefilter can beOL used to optimize your own search implementation if necessary, but cannot doLI much else. If you have a use case for more APIs, please submit an issue.Ld:4 77I7 67676;!  d  OOOO  ,`  ``` ]`{]9ֹ` , GD A candidate is the result of running a prefilter on a haystack at aĢ particular position.IF The result is either no match, a confirmed match or a possible match.MJ When no match is returned, the prefilter is guaranteeing that no possibleOL match can be found in the haystack, and the caller may trust this. That is,=: all correct prefilters must never report false negatives.OL In some cases, a prefilter can confirm a match very quickly, in which case,LI the caller may use this to stop what it's doing and report the match. InLI this case, prefilter implementations must never report a false positive.MJ In other cases, the prefilter can only report a potential match, in whichOL case the callers must attempt to confirm the match. In this case, prefilter<9 implementations are permitted to return false positives.LСv/СС$JG No match was found. Since false negatives are not possible, this meansFC the search can quit as it is guaranteed not to find another match.СС7C@ A confirmed match was found. Callers do not need to confirm it. СD,}KH The start of a possible match was found. Callers must confirm it before reporting it as a match.  $СD,С СС ,С` С ``` ]`{]9ֹ` ,̄$<$-d$,$ $$ $\$ $T$ %4% ߤ%4% l&<& `  ``` ]`{]9ֹ`# ,#4g P`-E  g  g ,g`  ``` ]`{]9ֹ`g ,gjlj ߤ5Rdj,j kk KKߤ`KK ߤ ``` ]`{]9ֹ`i ,iKߤߤ :y y y8y y y8g >LŃ,Ń Lԃ,ԃ L, ffff  ,`  ``` ]`{]9ֹ` ,#T# խ|)OխiC խ #  666668666խ66խ66 խխ"  ," # խ}}խ`}} խ ``` ]`{]9ֹ`#  ,# }r=r=խr=r=խ խ8 խ#  # խb խ ȧ # ȧ bȧ  ȧ $# DDխDDխDD խ խ#  L#  DJiJiխJiJi խ խ #  T#  Jiխ խ խ #  #  ԰` |` l5t` L`  SESESESE `  ,` EE`EE  ``` ]`{]9ֹ``  ,` EFFFFFFF8FFF `  ` GGGGGG  `  L`  Ge te fe e  ׿HHHH e  ,e NINI`NINI  ``` ]`{]9ֹ`e  ,e NIϑ= : The identifier of a pattern in an Aho-Corasick automaton. L I It is represented by a `u32` even on 64-bit systems in order to conserve;K H space. Namely, on all targets, this type guarantees that its value willL I fit in a `u32`, `i32`, `usize` and an `isize`. This means that on 16-bitJ G targets, for example, this type's maximum value will never overflow anG D `isize`, which means it will never overflow a `i16` even though its- * internal representation is still a `u32`. d + N K While a `PatternID` is meant to guarantee that its value fits into `usize`I F without using as much space as a `usize` on all targets, callers mustL I not rely on this property for safety. Callers may choose to rely on thisO L property for correctness however. For example, creating a `StateID` with anO L invalid value can be done in entirely safe code. This may in turn result in$ ! panics or silent logical errors.L °Wi~>°>>° KK°KKKKK8KKK °   KK°bKK ° ȧ  DKDK ȧ $ KKK1M1M°1M1M°1M1M ° °  L  1MNN°NN ° °   T  N.P.P°.P.P ° °     .P/ , The identifier of a finite automaton state. L DK DL DJ DG D- D d + L I While a `StateID` is meant to guarantee that its value fits into `usize`I DL DO DO D$ D< 9ǐխD խ"T  խ1111181111111   ,   [=[=[=[= RRRRRRR8RRR    RRbRR  ȧ  DRDR ȧ $ RRRDDDDDD    L  D3i3i3i3i     T  3i)W)W)W)W       )WPj °j j =j °k k7 =(k l l ݜ= l °m m; = m o/ n> =n nC =o =o  5u1 pB =q =q q; =r: =s@ =s( =t t? =t =hu ° z4 v@ =v$ =w w; =w: =x@ =y( =y y? =z =z ° sX|" {; = | ° h% ~A =؏ =@  °    ! ? ղ= =0  °    ! ? =ȏׂ ޵=0  °    ! ? ٷ= =0  °     ܅0 = @ =A =ć =@  °    ; B =& ľ= @ =Ċ7 Ϳ=h Ò ?u 7 B =& ľ=Í ӍB =B = Ò° ?x $ ? =X =X  °Ò     '  "  ϕ °`@   ° ``` ]`{]9ֹ`     ' 0 !X 0 ׈# (  ° ׈  ׈  * 0  ٙ/ Hܙ  ° ׈  ׈  |ؚ* 0ݚ !X 0 ׈ś# (ț  ° ׈Λ  ׈ ϛ - 0  / H  ° ׈  ׈  N °#  խ° > °؏  ° _؏ °Pՠ (ڠ . @  F؏ °P ( ֢. @٢  9؏ °P ( . @  ۛΥ °P ( 0 @  yH  ; =H          88  7(   `@    ``` ]`{]9ֹ`     P ؏       KKHԳ ٳ °#       2  ӌ' >@ K ,.ظ ۸   z?  ӌ' >@ E KK35H ú ".   "    : = C =PΨ = B =P =t KX(JD x   ԩ  `  ``` ]`{]9ֹ`۩  {ѤѤѤѤѤѤѤ8ѤѤѤ   (     l `rēlE  p  NNNN ɯ  IFF`FF  ``` ]`{]9ֹ`Я  FU   ӌ'Է y8"$(   P    ӌ'    ӌ'``  ``` ]`{]9ֹ`  Pj j j =j k k7 =(k l l ݜ= l m m; = m o/ n> =n nC =o =o " u1 pB =q =q q; =r: =s@ =s( =t t? =t =hu  Cz4 v@ =v$ =w w; =w: =x@ =y( =y y? =z =z "|" {; = |  ګ% ~A =أ =@      ! ? ղ= =0      ! ? =ȣׂ ޵=0      ! ? ٷ= =0       ܅0 = @ =A =ć =@      ; B =& ľ= @ =Ċ7 Ϳ=h Ò" ? 7 B =& ľ=Í ӍB =B = Ò ? $ ? =X =X  Ò     '  $  ϕ `@    ``` ]`{]9ֹ`     ' 0 !X 0 ׈# (   ׈  ׈  * 0  ٙ/ Hܙ   ׈  ׈  Qؚ* 0ݚ !X 0 ׈ś# (ț   ׈Λ  ׈ ϛ - 0  / H   ׈  ׈  ` #  խ  أ   أ Pՠ (ڠ . @ " أ P ( ֢. @٢ " qأ P ( . @ " Υ P ( 0 @ " H  ; =H          88  7(   `@    ``` ]`{]9ֹ`     P أ       KKHԳ ٳ #       2  ӌ' >@ E $&ظ ۸   zw?  ӌ' >@ E KK35H ú $.   $    {: = C =PΨ = B =P =d ݬM1{D "x  DJtx ԩ   `/3  ``` ]`{]9ֹ`۩    9BFKO8[ae   q &,VZ    $  ̅\  E  p  ÄɄ ɯ  ]c`  ``` ]`{]9ֹ`Я  e HU |  ӌ'Է n<}A"$(   P   ߃ ӌ'E9=   - ӌ'E߂`  ``` ]`{]9ֹ`  2ԗDs9at    ؼ{!{`K{O{  ``` ]`{]9ֹ` ,|?\? ؼMمdtA; the start bound is exactly one greater than the end bound.  MJ In the latter case, [`Input::is_done`] will return true and indicates any KH search receiving such an input should immediately return with no match.GD Other than representing "search is complete," the `Input::span` andKH `Input::range` APIs are never necessary. Instead, callers can slice theNK haystack instead, e.g., with `&haystack[start..end]`. With that said, theyLI can be more convenient than slicing because the match positions reportedKH when using `Input::span` or `Input::range` are in terms of the originalMJ haystack. If you instead use `&haystack[start..end]`, then you'll need toNK add `start` to any match position returned in order for it to be a correct index into `haystack`.EB # Example: `&str` and `&[u8]` automatically convert to an `Input`LI There is a `From<&T> for Input` implementation for all `T: AsRef<[u8]>`.LI Additionally, the [`AhoCorasick`](crate::AhoCorasick) search APIs acceptLI a `Into`. These two things combined together mean you can provideGD things like `&str` and `&[u8]` to search APIs when the defaults are@= suitable, but also an `Input` when they're not. For example:<ӈ'GD use aho_corasick::{AhoCorasick, Anchored, Input, Match, StartKind};IF // Build a searcher that supports both unanchored and anchored modes.#'$* .build(&["abcd", "b"])''EB // A search using default parameters is unanchored. With standard'$ // semantics, this finds `b` first.|'# Some(Match::must(1, 1..2)),ԟ ac.find(haystack),4'JG // Using the same 'find' routine, we can provide an 'Input' explicitlyKH // that is configured to do an anchored search. Since 'b' doesn't startEB // at the beginning of the search, it is not reported as a match.|'# Some(Match::must(0, 0..4)),>; ac.find(Input::new(haystack).anchored(Anchored::Yes)),4'<ӈ', Yڕ4D   T$ D tD +1 lp   ,|µ.+ A representation of a range in a haystack.ƭʭEB A span corresponds to the starting and ending _byte offsets_ of aJG contiguous region of bytes. The starting offset is inclusive while theۮHE ending offset is exclusive. That is, a span is a half-open interval.KH A span is used to report the offsets of a match, but it is also used toJG convey which region of a haystack should be searched via routines like [`Input::span`].԰ذKH This is basically equivalent to a `std::ops::Range`, except thisNK type implements `Copy` which makes it more ergonomic to use in the contextIF of this crate. Indeed, `Span` exists only because `Range` doesJG not implement `Copy`. Like a range, this implements `Index` for `[u8]`JG and `str`, and `IndexMut` for `[u8]`. For convenience, this also implsӳDA `From`, which means things like `Span::from(5..10)` work.OL There are no constraints on the values of a span. It is, for example, legal)& to create a span where `start > end`.$͵}#?;hص,) The start offset of the span, inclusive.,tζ*' The end offset of the span, exclusive.Ҷ09=BF8RX^}  ,  kkkkkkk8kkk  @kFkbpktk  ȧ DkDk ȧ $ lll)j/jNjTj~jj   L j+( The type of anchored search to perform.LI If an Aho-Corasick searcher does not support the anchored mode selected,IF then the search will return an error or panic, depending on whether a1. fallible or an infallible routine was called.2D!̋&.IF Run an unanchored search. This means a match may occur anywhere at orKH after the start position of the search up until the end position of the\߮)KH Run an anchored search. This means that a match must begin at the startIF position of the search and end before the end position of the search."&828>]c  ,  Y Y`4Y8Y  ``` ]`{]9ֹ` ,YXXXY YYY8Y%Y)Y  MYSYrYxYYY   L ZEB A representation of a match reported by an Aho-Corasick searcher.KH A match has two essential pieces of information: the [`PatternID`] that96 matches, and the [`Span`] of the match in a haystack.IF The pattern is identified by an ID, which corresponds to its positionHE (starting from `0`) relative to other patterns used to construct theJG corresponding searcher. If only a single pattern is provided, then all74 matches are guaranteed to have a pattern ID of `0`.MJ Every match reported by a searcher guarantees that its span has its start30 offset as less than or equal to its end offset.,C~b2< °T$ 8  ,  ^\d\`\\  ``` ]`{]9ֹ` ,J]#\)\S\\\`\e\i\8u\{\\  .[4[b^[b[  ȧ D[D[ ȧ $[[\WWX#XMXQX   L XLI A knob for controlling the match semantics of an Aho-Corasick automaton.KH There are two generally different ways that Aho-Corasick automatons canNK report matches. The first way is the "standard" approach that results fromNK implementing most textbook explanations of Aho-Corasick. The second way isNK to report only the leftmost non-overlapping matches. The leftmost approachLI is in turn split into two different ways of resolving ambiguous matches:(% leftmost-first and leftmost-longest.NK The `Standard` match kind is the default and is the only one that supportsLI overlapping matches and stream searching. (Trying to find overlapping orOL streaming matches using leftmost match semantics will result in an error inNK fallible APIs and a panic when using infallibe APIs.) The `Standard` matchMJ kind will report matches as they are seen. When searching for overlappingGD matches, then all possible matches are reported. When searching forOL non-overlapping matches, the first match seen is reported. For example, forOL non-overlapping matches, given the patterns `abcd` and `b` and the haystackNK `abcdef`, only a match for `b` is reported since it is detected first. TheHE `abcd` match is never reported since it overlaps with the `b` match.JG In contrast, the leftmost match kind always prefers the leftmost matchOL among all possible matches. Given the same example as above with `abcd` andNK `b` as patterns and `abcdef` as the haystack, the leftmost match is `abcd`ԂOL since it begins before the `b` match, even though the `b` match is detectedOL before the `abcd` match. In this case, the `b` match is not reported at all,) since it overlaps with the `abcd` match.MJ The difference between leftmost-first and leftmost-longest is in how theyIF resolve ambiguous matches when there are multiple leftmost matches toLI choose from. Leftmost-first always chooses the pattern that was providedKH earliest, where as leftmost-longest always chooses the longest matchingֆIF pattern. For example, given the patterns `a` and `ab` and the subjectOL string `ab`, the leftmost-first match is `a` but the leftmost-longest matchKH is `ab`. Conversely, if the patterns were given in reverse order, i.e.,KH `ab` and `a`, then both the leftmost-first and leftmost-longest matchesNK would be `ab`. Stated differently, the leftmost-first match depends on the׉IF order in which the patterns were given to the Aho-Corasick automaton.KH Because of that, when leftmost-first matching is used, if a pattern `A`OL that appears before a pattern `B` is a prefix of `B`, then it is impossible# to ever observe a match of `B`.MJ If you're not sure which match kind to pick, then stick with the standardIF kind, which is the default. In particular, if you need overlapping orJG streaming matches, then you _must_ use the standard kind. The leftmostȍOL kinds are useful in specific circumstances. For example, leftmost-first canMJ be very useful as a way to implement match priority based on the order ofNK patterns given and leftmost-longest can be useful for dictionary searching;8 such that only the longest matching words are reported.74 # Relationship with regular expression alternationsJG Understanding match semantics can be a little tricky, and one easy wayKH to conceptualize non-overlapping matches from an Aho-Corasick automatonȑKH is to think about them as a simple alternation of literals in a regularEB expression. For example, let's say we wanted to match the stringsڒJG `Sam` and `Samwise`, which would turn into the regex `Sam|Samwise`. ItHE turns out that regular expression engines have two different ways ofKH matching this alternation. The first way, leftmost-longest, is commonlyMJ found in POSIX compatible implementations of regular expressions (such asNK `grep`). The second way, leftmost-first, is commonly found in backtrackingוMJ implementations such as Perl. (Some regex engines, such as RE2 and Rust'sLI regex engine do not use backtracking, but still implement leftmost-firstIF semantics in an effort to match the behavior of dominant backtrackingKH regex engines such as those found in Perl, Ruby, Python, Javascript andL PHP.)IF That is, when matching `Sam|Samwise` against `Samwise`, a POSIX regexHE will match `Samwise` because it is the longest possible match, but aDA Perl-like regex will match `Sam` since it appears earlier in theLI alternation. Indeed, the regex `Sam|Samwise` in a Perl-like regex engineLI will never match `Samwise` since `Sam` will always have higher priority.OL Conversely, matching the regex `Samwise|Sam` against `Samwise` will lead to؛OL a match of `Samwise` in both POSIX and Perl-like regexes since `Samwise` is@= still longest match, but it also appears earlier than `Sam`.MJ The "standard" match semantics of Aho-Corasick generally don't correspondJG to the match semantics of any large group of regex implementations, soMJ there's no direct analogy that can be made here. Standard match semanticsԞLI are generally useful for overlapping matches, or if you just want to see! matches as they are detected.ßǟMJ The main conclusion to draw from this section is that the match semanticsLI can be tweaked to precisely match either Perl-like regex alternations or POSIX regex alternations.2Lȡ0+lYDءIF Use standard match semantics, which support overlapping matches. WhenGD used with non-overlapping matches, matches are reported as they areL seen.lҦGBڣ@BHBBIF This does **not** support overlapping matches or stream searching. IfFC this match kind is used, attempting to find overlapping matches or찦 stream matches will fail.58|֩IBHBtBIGFG촩Gf-----8-------  ,  R_X_`__  ``` ]`{]9ֹ` ,>`^_*_3_7_<_@_8L_R_V_     L NK The kind of anchored starting configurations to support in an Aho-Corasicklγ@ܳ52 Depending on which searcher is used internally byC@ [`AhoCorasick`](crate::AhoCorasick), supporting both unanchoredڴ?< and anchored searches can be quite costly. For this reason,M-GD can be used to configure whether your searcher supports unanchored,'$ anchored or both kinds of searches.ضܶJG This searcher configuration knob works in concert with the search timeMJ configuration [`Input::anchored`]. Namely, if one requests an unsupportedHE anchored mode, then the search will either panic or return an error,OL depending on whether you're using infallible or fallibe APIs, respectively.?< `AhoCorasick` by default only supports unanchored searches.Lsu$Ϻ2/ Support both anchored and unanchored searches.DdfTٺHE Support only unanchored searches. Requesting an anchored search willB? return an error in fallible APIs and panic in infallible APIs.DHE Support only anchored searches. Requesting an unanchored search willʼBGhѱѱѱѱѱ8ѱѱѱѱѱѱѱ ۹ ,۹  dd`ee  ``` ]`{]9ֹ` ,evd|dddddd8ddd  dde!eKeOe   L e<dL%[W"t d '  % KKKK  , dd`*Ҏwԋ V LV c | x         k9!-~{{  7ji\ihh6hg}g"gfiffe@eBdkc aLaa ˚sa``0`_^   ]  S\  [LY ̒^VT SRQPOHHGVGFuFEDBAOA@c@?u?>=0=s<:::9<98q887Q766,654A43332D2g1  L 00/  L -,+5+*'&7&%k%%$9$#m#O"!      Y Kef +44 8W :[Ti ;;q B  Rs 3 + -UD|4 n{6PQгG 2Ų 5^ ? ?Ȱ B CM O O O R S Sds] ʀϨ    h  B   أ ˡ  !F_ܛZuŘ B %osstvw  .  | $  ! |   v;[ LLLu$B L\ yE @L@ f  !Vc c hCh q z đޑJ( P  X  7M   ؄޵xTAMد]- c Lc ?KedbdtcLb (a`6`_7_^>C<97l5g3 20W.h,"+)_(%$ ɨL٨i#"!  ԿLOf  @b   b  f   $w'{)1^Y`;U @G{:A϶ֶ7!(<A G$+٤؋s![zgr{yxx88dwburqr@pp/NnnAhgggfee_^^4]U\\\XWW^QSrRyR%POO-LLzYK@>="=d<;;;}:9T987m765 44NS211Z/#.*./,++"G*((R'%S#!!9}# *  Rsz>A=DЌ ahpR)JQh - 4 W `Yy|  \|HN -3KgyOMkqZjF Yw} ;AN NIO}*~HN\|E @FNI8_ev*|QW­0Sf H  J?i H d YRqwFגݒP* H ؆ͅ+ H }0|~zyywx.x4xvv v?t}ss*rrpp-_XW.W4WEVKVQPP&PdOjOKJJPhIHHGGQ+I*O*v)((!  y ]cWp[p#Z'ZXXAFc  6AhoCorasick::try_find_overlapping_iter is not expected to fail>4AhoCorasick::try_replace_all is not expected to fail42AhoCorasick::try_replace_all_bytes should not fail21AhoCorasick::try_replace_all_with should not fail17AhoCorasick::try_replace_all_with_bytes should not fail71AhoCorasick::try_stream_find_iter should not fail1FindIterFindOverlappingIterStreamFindIterAhoCorasickBuildernfa_noncontiguousnfa_contiguousdfakind start_kind DFA ContiguousNFA NoncontiguousNFAEreplace_all requires a replacement for every pattern in the automatonEOstreaming replace_all requires a replacement for every pattern in the automatonOOverlappingStatematidatnext_match_indexautinputlast_match_end-already checked that no match error can occur-assertion failed: m.is_empty()state2already checked that no match error can occur here2itStreamChunkIterrdrbufstartsid absolute_pos buffer_pos buffer_reported_posMatchbytesNonMatchBuilder noncontiguous byte_classes  dense_depth Statesparsedensematchesfaildepth match_kind prefilter ascii_case_insensitiveCompilerbuildernfabyteset/expected number of patterns to match pattern ID/ QueuedSet setLeftmostLongest LeftmostFirst Configforceonly_teddy_fatonly_teddy_256bitheuristic_pattern_limits RabinKarp Teddyconfiginertpatterns@assertion failed: self.patterns.len() <= core::u16::MAX as usize@Searcher rabinkarp search_kind minimum_len searcherhaystackspanIassertion failed: 0 < pointee_size && pointee_size <= isize::MAX as usizeIPatternsby_idordertotal_pattern_bytes PatternIter i(internal error: entered unreachable code(bucketshash_len hash_2pow only_fat only_256bit imp memory_usage :assertion failed: haystack[at..].len() >= self.minimum_len:SlimNeonslim128pidendSlimteddymasksFatMasklohi ByteClassIter ByteClassElementsclassesclassByteClassElementRangeselementsrange ByteClassSet ByteSetbitsBuffermin BuildError PatternTooLongpatternlenPatternIDOverflowmax requested_max StateIDOverflow MatchError UnsupportedEmptyUnsupportedOverlappinggotUnsupportedStreamInvalidInputUnanchoredInvalidInputAnchored Prefilter finderPossibleStartOfMatchNone start_bytes rare_bytes memmempackedenabledcountPacked MemmemBuilder oneMemmemRareBytesBuilderrare_set byte_offsets available rank_sumRareByteOffset RareBytesOne byte1offset RareBytesTwo offsetsbyte2RareBytesThreebyte3StartBytesBuilder StartBytesOne StartBytesTwo StartBytesThree SmallIndex SmallIndexError attempted SmallIndexIterrnginvalid PatternID valuePatternIDError PatternIDIter WithPatternIDIteridsinvalid StateID value StateIDError StateIDIter WithStateIDIterRemappermapidx IndexMapper stride2* invalid span  for haystack of length *YesNoinvalid match spanStandardAnchored Unanchored BothSpecialmax_special_id max_match_id start_unanchored_idstart_anchored_idHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHH(| R VS8a-Mtokc1!\d;EyecUGpJՋKu=;r7whBՁA(DTI>qsQkJsPD0n}7.ůMZУ{e #zX.U 2!͒i^y'uNQa\=zOF0ጼ"]byONxgb 8q)W#x m@Mrp-=Vp' usfhh Jl`N$1Zg۫;clz_@{wGBmAOM!9'$ީ7Q${FUE HݺSG]hur1r1@F7X;4 $ppԎy-$@]엵J['5%閎¨)VQn=yêSRv[FQu'5.KZrͮTf#,jͳ/vn+n I?1 );G ͶDlRN =sA:ĂlM`NNgw%}r5HH/m90r 7'yE#`ÎJa5,ORbJtF&"[x} qϾK#` 4Y=eXI ,c2ͱd0قyi|30u Z~!ʙZu|.n>^u&+wlM'^EFN[.5a">%NP9p$wRD#h"G+yZu7Sύ^H?ukw)$70p6gszQlY``$oM (4IwPXNo0һ=楯m{25 U |yЇL5s9ٹ{Zo# 1K+x%nH{JHz]odA+0U<=h Ӿ[ Z3ڨn2 3{#}Y JUB'n@X=}oaBCqwnk6+7rG5<." -$zuh/`zq{71f@aWz޽]WZuXU+Y9QLXnUijjӢa[k.WݼOW d}Y3Azjq?# Lsygo|ז}A7%}Laq"T1Rl=j&:e <` -TxzKn8nؔ,A[JLl.c6J)x.Y#eX|Rh^ZAbt/Xwe:l63$Wp$mxhӮ>I7K>2RX`1ն 3D2I9z@\rfz=.{R¨U`"2"IW[\.Ҳ ,? 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