Module patterns 

Vectorscan-based pattern matching for complex validation.

This module provides high-performance regex matching using Vectorscan (the open-source fork of Intel Hyperscan). Key features:

• Match thousands of patterns simultaneously
• SIMD-accelerated on x86_64 (AVX2/AVX-512) and ARM (NEON)
• Stream-oriented for network-speed processing
• Zero-copy pattern matching

Setup

Vectorscan requires the system library to be installed:

# macOS
brew install vectorscan

# Ubuntu/Debian
apt-get install libvectorscan-dev

# From source
git clone https://github.com/VectorCamp/vectorscan
cd vectorscan && cmake -B build && cmake --build build

Usage

use wellformed_validate::patterns::{PatternDb, PatternId};

// Create a pattern database with built-in patterns
let db = PatternDb::with_builtins().unwrap();

// Match against input
let matches = db.scan("test@example.com");
assert!(matches.contains(PatternId::Email));

Structs

MatchResult

Result of pattern matching.

PatternDb

Pattern database using regex crate (fallback).

PatternDef

Pre-compiled pattern definitions.

Enums

PatternId

Pattern identifier for matching results.

Statics

BUILTIN_PATTERNS

All built-in patterns.

Functions

is_ein_format

Check if a string matches the EIN format.

is_email_format

Check if a string looks like an email address.

is_ssn_format

Check if a string matches the SSN format.

is_zip_format

Check if a string matches the US ZIP code format.