3 repositorios
Constructing regular expression patterns using dedicated literal syntax for string matching.
Distinct from Range Inputs: Distinct from range inputs: focuses on regex pattern definition syntax.
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Crystal is a statically typed, compiled programming language designed for high performance and memory safety. It leverages an LLVM-based compiler to translate source code into optimized machine-executable binaries, while its type-inference-based static analysis enforces strict safety rules during the build process. The language distinguishes itself through a fiber-based concurrent runtime that manages lightweight execution units for asynchronous input and output without blocking the main process. It also features a powerful compile-time macro system that allows for the inspection and transfor
Constructs regular expression patterns using dedicated literal syntax for string matching.
Any-rule is a multi-platform regular expression tool that provides a curated catalog of over 70 ready-to-use patterns for validating and extracting common data formats. The project separates its static regex collection from editor-specific plugins, allowing the same pattern library to be accessed through VS Code, IntelliJ IDEA, Alfred Workflow, and a web interface. The tool enables keyword-based pattern retrieval, letting users search for the correct regex by typing descriptive terms rather than remembering exact syntax. It covers a broad range of validation needs including email addresses, U
Defines every regex as a hardcoded string literal rather than generating patterns at runtime.
Esta es una biblioteca de expresiones regulares diseñada para la validación e identificación de números de teléfono móviles de China continental. Proporciona las reglas estructurales y las restricciones de dígitos necesarias para verificar que los números de teléfono sigan el formato regional correcto. La biblioteca incluye patrones específicos para determinar el proveedor de telecomunicaciones según los prefijos regionales. También cuenta con filtros para distinguir entre números de voz estándar y planes de IoT o solo datos. El proyecto cubre amplias capacidades de validación de datos, incluyendo la verificación del formato de entrada y la identificación del operador.
Stores validation rules as hardcoded string literals to ensure consistent matching across environments.