Elysia Tools
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Text Processing
Grupos de Captura Nombrados de Regex
Colección de patrones de regex que usan grupos de captura nombrados para extraer datos estructurados de texto. Los grupos nombrados hacen que los patrones sean más legibles y mantenibles asignando nombres significativos a las partes capturadas.
Ejemplos
Entradas de esta colección
Patrones de Análisis de Fechas
Extraer componentes de fecha (año, mes, día) de varios formatos de fecha usando grupos de captura nombrados
Dificultad
3/10
Tiempo estimado
5 min
Etiquetas
date, parsing, datetime, formatting
# Date Parsing with Named Groups
# Extract year, month, and day from date strings
# ISO 8601 Format (YYYY-MM-DD)
# Pattern: (?<year>\d{4})-(?<month>\d{2})-(?<day>\d{2})
# Input: 2025-01-16
# Groups: year=2025, month=01, day=16
(?<year>\d{4})-(?<month>\d{2})-(?<day>\d{2})
# US Format (MM/DD/YYYY)
# Pattern: (?<month>\d{2})/(?<day>\d{2})/(?<year>\d{4})
# Input: 01/16/2025
# Groups: month=01, day=16, year=2025
(?<month>\d{2})/(?<day>\d{2})/(?<year>\d{4})
# European Format (DD.MM.YYYY)
# Pattern: (?<day>\d{2})\.(?<month>\d{2})\.(?<year>\d{4})
# Input: 16.01.2025
# Groups: day=16, month=01, year=2025
(?<day>\d{2})\.(?<month>\d{2})\.(?<year>\d{4})
# Textual Month (YYYY-Mon-DD)
# Pattern: (?<year>\d{4})-(?<month>[A-Za-z]{3})-(?<day>\d{2})
# Input: 2025-Jan-16
# Groups: year=2025, month=Jan, day=16
(?<year>\d{4})-(?<month>[A-Za-z]{3})-(?<day>\d{2})
# Full Month Name
# Pattern: (?<month>[A-Za-z]+) (?<day>\d{1,2}), (?<year>\d{4})
# Input: January 16, 2025
# Groups: month=January, day=16, year=2025
(?<month>[A-Za-z]+) (?<day>\d{1,2}), (?<year>\d{4})
# ISO with Time
# Pattern: (?<year>\d{4})-(?<month>\d{2})-(?<day>\d{2})T(?<hour>\d{2}):(?<minute>\d{2})
# Input: 2025-01-16T14:30
# Groups: year=2025, month=01, day=16, hour=14, minute=30
(?<year>\d{4})-(?<month>\d{2})-(?<day>\d{2})T(?<hour>\d{2}):(?<minute>\d{2})Patrones de Análisis de Tiempo
Extraer componentes de tiempo (hora, minuto, segundo) de varios formatos de tiempo
Dificultad
3/10
Tiempo estimado
5 min
Etiquetas
time, parsing, datetime, formatting
# Time Parsing with Named Groups
# Extract hour, minute, second from time strings
# 24-Hour Format (HH:MM:SS)
# Pattern: (?<hour>\d{2}):(?<minute>\d{2}):(?<second>\d{2})
# Input: 14:30:45
# Groups: hour=14, minute=30, second=45
(?<hour>\d{2}):(?<minute>\d{2}):(?<second>\d{2})
# 12-Hour Format with AM/PM
# Pattern: (?<hour>\d{1,2}):(?<minute>\d{2}):(?<second>\d{2}) (?<ampm>[AP]M)
# Input: 2:30:45 PM
# Groups: hour=2, minute=30, second=45, ampm=PM
(?<hour>\d{1,2}):(?<minute>\d{2}):(?<second>\d{2}) (?<ampm>[AP]M)
# Hours and Minutes Only
# Pattern: (?<hour>\d{2}):(?<minute>\d{2})
# Input: 14:30
# Groups: hour=14, minute=30
(?<hour>\d{2}):(?<minute>\d{2})
# Time with Milliseconds
# Pattern: (?<hour>\d{2}):(?<minute>\d{2}):(?<second>\d{2})\.(?<ms>\d{3})
# Input: 14:30:45.123
# Groups: hour=14, minute=30, second=45, ms=123
(?<hour>\d{2}):(?<minute>\d{2}):(?<second>\d{2})\.(?<ms>\d{3})
# ISO 8601 Time
# Pattern: (?<hour>\d{2}):(?<minute>\d{2}):(?<second>\d{2})(?<tz>[+-]\d{2}:\d{2})
# Input: 14:30:45+05:30
# Groups: hour=14, minute=30, second=45, tz=+05:30
(?<hour>\d{2}):(?<minute>\d{2}):(?<second>\d{2})(?<tz>[+-]\d{2}:\d{2})Patrones de Análisis de URL
Extraer componentes de URL (protocolo, dominio, ruta, consulta, fragmento) de URLs
Dificultad
6/10
Tiempo estimado
10 min
Etiquetas
url, parsing, web, http
# URL Parsing with Named Groups
# Extract protocol, domain, path, query, fragment from URLs
# Basic URL Structure
# Pattern: (?<protocol>https?)://(?<domain>[^/]+)(?<path>/[^?#]*)?(?:\?(?<query>[^#]*))?(?:#(?<fragment>.*))?
# Input: https://example.com/path/to/page?param=value#section
# Groups: protocol=https, domain=example.com, path=/path/to/page, query=param=value, fragment=section
(?<protocol>https?)://(?<domain>[^/]+)(?<path>/[^?#]*)?(?:\?(?<query>[^#]*))?(?:#(?<fragment>.*))?
# URL with Subdomain
# Pattern: (?<protocol>https?)://(?<subdomain>[^/.]+)\.(?<domain>[^/]+)(?<path>/.*)
# Input: https://blog.example.com/post/123
# Groups: protocol=https, subdomain=blog, domain=example.com, path=/post/123
(?<protocol>https?)://(?<subdomain>[^/.]+)\.(?<domain>[^/]+)(?<path>/.*)
# URL with Port
# Pattern: (?<protocol>https?)://(?<domain>[^/:]+):(?<port>\d+)(?<path>/.*)
# Input: http://localhost:8080/api/users
# Groups: protocol=http, domain=localhost, port=8080, path=/api/users
(?<protocol>https?)://(?<domain>[^/:]+):(?<port>\d+)(?<path>/.*)
# URL with Auth (rare)
# Pattern: (?<protocol>https?)://(?<user>[^:]+):(?<pass>[^@]+)@(?<domain>[^/]+)
# Input: https://admin:[email protected]
# Groups: protocol=https, user=admin, pass=password, domain=example.com
(?<protocol>https?)://(?<user>[^:]+):(?<pass>[^@]+)@(?<domain>[^/]+)
# Extract Domain Parts
# Pattern: (?<protocol>https?)://(?<subdomain>[^.]+)\.(?<domain>[^.]+)\.(?<tld>[^.]+)
# Input: https://www.example.com
# Groups: protocol=https, subdomain=www, domain=example, tld=com
(?<protocol>https?)://(?<subdomain>[^.]+)\.(?<domain>[^.]+)\.(?<tld>[^.]+)Patrones de Análisis de Correo Electrónico
Extraer componentes de correo electrónico (parte local, dominio, TLD) de direcciones de correo electrónico
Dificultad
5/10
Tiempo estimado
8 min
Etiquetas
email, parsing, validation, contact
# Email Parsing with Named Groups
# Extract local part, domain, and TLD from email addresses
# Basic Email Structure
# Pattern: (?<local>[^@]+)@(?<domain>[^.]+)\.(?<tld>[^@]+)
# Input: [email protected]
# Groups: local=user, domain=example, tld=com
(?<local>[^@]+)@(?<domain>[^.]+)\.(?<tld>[^@]+)
# Email with Subdomain
# Pattern: (?<local>[^@]+)@(?<subdomain>[^.]+)\.(?<domain>[^.]+)\.(?<tld>[^.]+)
# Input: [email protected]
# Groups: local=user, subdomain=mail, domain=example, tld=com
(?<local>[^@]+)@(?<subdomain>[^.]+)\.(?<domain>[^.]+)\.(?<tld>[^.]+)
# Email with Plus Tagging
# Pattern: (?<local>[^+]+)\+(?<tag>[^@]+)@(?<domain>[^.]+)\.(?<tld>[^@]+)
# Input: [email protected]
# Groups: local=user, tag=promo, domain=example, tld=com
(?<local>[^+]+)\+(?<tag>[^@]+)@(?<domain>[^.]+)\.(?<tld>[^@]+)
# Country Code TLD
# Pattern: (?<local>[^@]+)@(?<domain>[^.]+)\.(?<tld>[^.]+)\.(?<country>[a-z]{2})
# Input: [email protected]
# Groups: local=user, domain=example, tld=co, country=uk
(?<local>[^@]+)@(?<domain>[^.]+)\.(?<tld>[^.]+)\.(?<country>[a-z]{2})
# Academic Email
# Pattern: (?<local>[^@]+)@(?<department>[^.]+)\.(?<university>[^.]+)\.(?<tld>edu)
# Input: [email protected]
# Groups: local=student, department=cs, university=mit, tld=edu
(?<local>[^@]+)@(?<department>[^.]+)\.(?<university>[^.]+)\.(?<tld>edu)Patrones de Análisis de Archivos de Registro
Analizar entradas de registro del servidor con marca de tiempo, nivel, mensaje y metadatos
Dificultad
7/10
Tiempo estimado
12 min
Etiquetas
logging, parsing, server, debugging
# Log File Parsing with Named Groups
# Extract timestamp, level, logger, message from log entries
# Apache Common Log Format
# Pattern: (?<ip>\d+\.\d+\.\d+\.\d+) - (?<user>\S+) \[(?<timestamp>[^\]]+)\] "(?<method>\w+) (?<path>\S+) (?<protocol>\S+)" (?<status>\d+) (?<size>\d+)
# Input: 192.168.1.1 - - [16/Jan/2025:14:30:45 +0000] "GET /index.html HTTP/1.1" 200 1234
# Groups: ip=192.168.1.1, user=-, timestamp=16/Jan/2025:14:30:45 +0000, method=GET, path=/index.html, protocol=HTTP/1.1, status=200, size=1234
(?<ip>\d+\.\d+\.\d+\.\d+) - (?<user>\S+) \[(?<timestamp>[^\]]+)\] "(?<method>\w+) (?<path>\S+) (?<protocol>\S+)" (?<status>\d+) (?<size>\d+)
# Application Log Format
# Pattern: \[(?<timestamp>[^\]]+)\] (?<level>\w+) (?<logger>\S+) - (?<message>.*)
# Input: [2025-01-16 14:30:45] INFO com.example.Service - Request processed successfully
# Groups: timestamp=2025-01-16 14:30:45, level=INFO, logger=com.example.Service, message=Request processed successfully
\[(?<timestamp>[^\]]+)\] (?<level>\w+) (?<logger>\S+) - (?<message>.*)
# Error Log with Exception
# Pattern: \[(?<timestamp>[^\]]+)\] (?<level>ERROR) (?<logger>\S+) - (?<message>[^\[]+) \[(?<exception>[^\]]+)\]
# Input: [2025-01-16 14:30:45] ERROR com.example.Service - Database connection failed [SQLException: Connection timeout]
# Groups: timestamp=2025-01-16 14:30:45, level=ERROR, logger=com.example.Service, message=Database connection failed, exception=SQLException: Connection timeout
\[(?<timestamp>[^\]]+)\] (?<level>ERROR) (?<logger>\S+) - (?<message>[^\[]+) \[(?<exception>[^\]]+)\]
# Nginx Log Format
# Pattern: (?<ip>[^ ]*) - (?<user>[^ ]*) \[(?<time>[^\]]*)\] "(?<method>\w+) (?<path>[^ ]*) (?<protocol>[^"]*)" (?<status>\d+) (?<size>\d+) "(?<referrer>[^"]*)" "(?<ua>[^"]*)"
# Input: 127.0.0.1 - - [16/Jan/2025:14:30:45 +0000] "GET /api/users HTTP/1.1" 200 1234 "-" "Mozilla/5.0"
# Groups: ip=127.0.0.1, user=-, time=16/Jan/2025:14:30:45 +0000, method=GET, path=/api/users, protocol=HTTP/1.1, status=200, size=1234, referrer=-, ua=Mozilla/5.0
(?<ip>[^ ]*) - (?<user>[^ ]*) \[(?<time>[^\]]*)\] "(?<method>\w+) (?<path>[^ ]*) (?<protocol>[^"]*)" (?<status>\d+) (?<size>\d+) "(?<referrer>[^"]*)" "(?<ua>[^"]*)"Patrones de Análisis de Direcciones IP
Extraer octetos y componentes de direcciones IP de direcciones IPv4
Dificultad
4/10
Tiempo estimado
6 min
Etiquetas
network, ip, parsing, addressing
# IP Address Parsing with Named Groups
# Extract octets from IPv4 addresses
# Standard IPv4
# Pattern: (?<octet1>\d{1,3})\.(?<octet2>\d{1,3})\.(?<octet3>\d{1,3})\.(?<octet4>\d{1,3})
# Input: 192.168.1.1
# Groups: octet1=192, octet2=168, octet3=1, octet4=1
(?<octet1>\d{1,3})\.(?<octet2>\d{1,3})\.(?<octet3>\d{1,3})\.(?<octet4>\d{1,3})
# IP with CIDR Notation
# Pattern: (?<octet1>\d{1,3})\.(?<octet2>\d{1,3})\.(?<octet3>\d{1,3})\.(?<octet4>\d{1,3})/(?<cidr>\d{1,2})
# Input: 192.168.1.0/24
# Groups: octet1=192, octet2=168, octet3=1, octet4=0, cidr=24
(?<octet1>\d{1,3})\.(?<octet2>\d{1,3})\.(?<octet3>\d{1,3})\.(?<octet4>\d{1,3})/(?<cidr>\d{1,2})
# IP with Port
# Pattern: (?<octet1>\d{1,3})\.(?<octet2>\d{1,3})\.(?<octet3>\d{1,3})\.(?<octet4>\d{1,3}):(?<port>\d{1,5})
# Input: 192.168.1.1:8080
# Groups: octet1=192, octet2=168, octet3=1, octet4=1, port=8080
(?<octet1>\d{1,3})\.(?<octet2>\d{1,3})\.(?<octet3>\d{1,3})\.(?<octet4>\d{1,3}):(?<port>\d{1,5})
# Network and Broadcast
# Pattern: (?<network>\d{1,3}\.\d{1,3}\.\d{1,3}\.\d{1,3})/(?<cidr>\d{1,2}) (?:broadcast: (?<broadcast>\d{1,3}\.\d{1,3}\.\d{1,3}\.\d{1,3}))
# Input: 192.168.1.0/24 broadcast: 192.168.1.255
# Groups: network=192.168.1.0, cidr=24, broadcast=192.168.1.255
(?<network>\d{1,3}\.\d{1,3}\.\d{1,3}\.\d{1,3})/(?<cidr>\d{1,2}) (?:broadcast: (?<broadcast>\d{1,3}\.\d{1,3}\.\d{1,3}\.\d{1,3}))Patrones de Análisis de Coordenadas GPS
Extraer latitud y longitud de formatos de coordenadas GPS
Dificultad
5/10
Tiempo estimado
8 min
Etiquetas
gps, coordinates, location, geography
# GPS Coordinates Parsing with Named Groups
# Extract latitude and longitude from coordinate strings
# Decimal Degrees
# Pattern: (?<lat>-?\d+\.\d+),\s*(?<lon>-?\d+\.\d+)
# Input: 40.7128, -74.0060
# Groups: lat=40.7128, lon=-74.0060
(?<lat>-?\d+\.\d+),\s*(?<lon>-?\d+\.\d+)
# DMS Format (Degrees Minutes Seconds)
# Pattern: (?<lat_deg>\d+)°(?<lat_min>\d+)'(?<lat_sec>\d+(?:\.\d+)?)?" (?<lat_dir>[NS]), (?<lon_deg>\d+)°(?<lon_min>\d+)'(?<lon_sec>\d+(?:\.\d+)?)?" (?<lon_dir>[EW])
# Input: 40°42'55" N, 74°00'21" W
# Groups: lat_deg=40, lat_min=42, lat_sec=55, lat_dir=N, lon_deg=74, lon_min=00, lon_sec=21, lon_dir=W
(?<lat_deg>\d+)°(?<lat_min>\d+)'(?<lat_sec>\d+(?:\.\d+)?)?" (?<lat_dir>[NS]), (?<lon_deg>\d+)°(?<lon_min>\d+)'(?<lon_sec>\d+(?:\.\d+)?)?" (?<lon_dir>[EW])
# Degrees Decimal Minutes
# Pattern: (?<lat_deg>\d+)°(?<lat_min>\d+\.\d+)' (?<lat_dir>[NS]), (?<lon_deg>\d+)°(?<lon_min>\d+\.\d+)' (?<lon_dir>[EW])
# Input: 40°42.917' N, 74°00.350' W
# Groups: lat_deg=40, lat_min=42.917, lat_dir=N, lon_deg=74, lon_min=00.350, lon_dir=W
(?<lat_deg>\d+)°(?<lat_min>\d+\.\d+)' (?<lat_dir>[NS]), (?<lon_deg>\d+)°(?<lon_min>\d+\.\d+)' (?<lon_dir>[EW])
# Geo URI Format
# Pattern: geo:(?<lat>-?\d+\.\d+),(?<lon>-?\d+\.\d+)(?:\?z=(?<zoom>\d+))?
# Input: geo:40.7128,-74.0060?z=15
# Groups: lat=40.7128, lon=-74.0060, zoom=15
geo:(?<lat>-?\d+\.\d+),(?<lon>-?\d+\.\d+)(?:\?z=(?<zoom>\d+))?Patrones de Análisis de Códigos de Producto
Extraer información del producto de códigos SKU, UPC y códigos de producto
Dificultad
6/10
Tiempo estimado
10 min
Etiquetas
product, sku, inventory, parsing
# Product Code Parsing with Named Groups
# Extract category, SKU, variant from product codes
# Simple SKU
# Pattern: (?<category>[A-Z]{2})-(?<sku>\d{4})-(?<variant>[A-Z]{2})
# Input: EL-1234-LG
# Groups: category=EL, sku=1234, variant=LG
(?<category>[A-Z]{2})-(?<sku>\d{4})-(?<variant>[A-Z]{2})
# UPC-A Barcode
# Pattern: (?<system>\d{1})(?<mfg>\d{5})(?<product>\d{5})(?<check>\d{1})
# Input: 012345678901
# Groups: system=0, mfg=12345, product=67890, check=1
(?<system>\d{1})(?<mfg>\d{5})(?<product>\d{5})(?<check>\d{1})
# ISBN-13
# Pattern: (?<prefix>\d{3})-(?<group>\d{1,5})-(?<publisher>\d{1,7})-(?<title>\d{1,7})-(?<check>\d{1})
# Input: 978-0-306-40615-7
# Groups: prefix=978, group=0, publisher=306, title=40615, check=7
(?<prefix>\d{3})-(?<group>\d{1,5})-(?<publisher>\d{1,7})-(?<title>\d{1,7})-(?<check>\d{1})
# Color-Size Product Code
# Pattern: (?<product>[A-Z]{3})(?<size>XS|S|M|L|XL)(?<color>BL|RD|GR|BK)
# Input: TSHIRTLRDBL
# Groups: product=TSHIRT, size=L, color=RD
(?<product>[A-Z]{3})(?<size>XS|S|M|L|XL)(?<color>BL|RD|GR|BK)
# Hierarchical Product Code
# Pattern: (?<dept>\d{2})\.(?<class>\d{2})\.(?<item>\d{4})-(?<color>\d{2})
# Input: 10.20.1234-56
# Groups: dept=10, class=20, item=1234, color=56
(?<dept>\d{2})\.(?<class>\d{2})\.(?<item>\d{4})-(?<color>\d{2})Patrones de Análisis de Rutas de Archivo
Extraer directorio, nombre de archivo y extensión de rutas de archivo
Dificultad
5/10
Tiempo estimado
8 min
Etiquetas
file, path, filesystem, parsing
# File Path Parsing with Named Groups
# Extract directory, filename, extension from file paths
# Unix Path
# Pattern: (?<dir>/[^/]*)/(?<file>[^/]+)\.(?<ext>[^.]+)
# Input: /home/user/documents/report.pdf
# Groups: dir=/home/user/documents, file=report, ext=pdf
(?<dir>/[^/]*)/(?<file>[^/]+)\.(?<ext>[^.]+)
# Windows Path
# Pattern: (?<drive>[A-Z]:)\\(?<dir>[^\\]+)\\(?<file>[^\\]+)\.(?<ext>[^.]+)
# Input: C:\\Users\\Admin\\Documents\\report.docx
# Groups: drive=C:, dir=Users\Admin\Documents, file=report, ext=docx
(?<drive>[A-Z]:)\\(?<dir>[^\\]+)\\(?<file>[^\\]+)\.(?<ext>[^.]+)
# URL Path
# Pattern: https?://[^/]+(?<path>/[^/]+/)(?<file>[^/]+)\.(?<ext>[^.]+)
# Input: https://example.com/downloads/images/photo.jpg
# Groups: path=/downloads/images/, file=photo, ext=jpg
https?://[^/]+(?<path>/[^/]+/)(?<file>[^/]+)\.(?<ext>[^.]+)
# Hidden File (Unix)
# Pattern: (?<dir>/[^/]*)/(?<hidden>\.(?<file>[^/]+))\.(?<ext>[^.]+)
# Input: /home/user/.bashrc.backup
# Groups: dir=/home/user, hidden=.bashrc, file=bashrc, ext=backup
(?<dir>/[^/]*)/(?<hidden>\.(?<file>[^/]+))\.(?<ext>[^.]+)
# Versioned Filename
# Pattern: (?<file>[^-]+)-(?<version>\d+\.\d+\.\d+)\.(?<ext>[^.]+)
# Input: myapp-2.1.0.tar.gz
# Groups: file=myapp, version=2.1.0, ext=tar.gz
(?<file>[^-]+)-(?<version>\d+\.\d+\.\d+)\.(?<ext>[^.]+)Patrones de Análisis de Nombres de Personas
Analizar nombres de personas en título, nombre, segundo nombre, apellido y sufijo
Dificultad
7/10
Tiempo estimado
12 min
Etiquetas
name, parsing, personal, formatting
# Person Name Parsing with Named Groups
# Parse names into title, first, middle, last, suffix
# Full Name with Title
# Pattern: (?<title>Mr|Mrs|Ms|Dr|Prof)\.? (?<first>[A-Z][a-z]+) (?<last>[A-Z][a-z]+)
# Input: Dr. John Smith
# Groups: title=Dr, first=John, last=Smith
(?<title>Mr|Mrs|Ms|Dr|Prof)\.? (?<first>[A-Z][a-z]+) (?<last>[A-Z][a-z]+)
# Name with Middle Initial
# Pattern: (?<first>[A-Z][a-z]+) (?<middle>[A-Z])\. (?<last>[A-Z][a-z]+)
# Input: John A. Smith
# Groups: first=John, middle=A, last=Smith
(?<first>[A-Z][a-z]+) (?<middle>[A-Z])\. (?<last>[A-Z][a-z]+)
# Name with Suffix
# Pattern: (?<first>[A-Z][a-z]+) (?<last>[A-Z][a-z]+) (?<suffix>Jr|Sr|II|III|IV)
# Input: Robert Smith Jr
# Groups: first=Robert, last=Smith, suffix=Jr
(?<first>[A-Z][a-z]+) (?<last>[A-Z][a-z]+) (?<suffix>Jr|Sr|II|III|IV)
# Full Name with Middle Name
# Pattern: (?<first>[A-Z][a-z]+) (?<middle>[A-Z][a-z]+) (?<last>[A-Z][a-z]+)
# Input: William Henry Harrison
# Groups: first=William, middle=Henry, last=Harrison
(?<first>[A-Z][a-z]+) (?<middle>[A-Z][a-z]+) (?<last>[A-Z][a-z]+)
# Last, First Format
# Pattern: (?<last>[A-Z][a-z]+), (?<first>[A-Z][a-z]+)(?: (?<middle>[A-Z][a-z]+))?
# Input: Smith, John Henry
# Groups: last=Smith, first=John, middle=Henry
(?<last>[A-Z][a-z]+), (?<first>[A-Z][a-z]+)(?: (?<middle>[A-Z][a-z]+))?Patrones de Análisis de Tarjetas de Crédito
Extraer componentes de tarjeta (BIN, número de cuenta, dígito de verificación) de números de tarjeta de crédito
Dificultad
8/10
Tiempo estimado
10 min
Etiquetas
payment, credit card, financial, validation
# Credit Card Parsing with Named Groups
# Extract BIN, account number, and check digit from card numbers
# Visa Card (16 digits)
# Pattern: (?<network>4)(?<bin>\d{4})(?<account>\d{8})(?<check>\d{4})
# Input: 4532015112830366
# Groups: network=4, bin=4532, account=01511283, check=0366
(?<network>4)(?<bin>\d{4})(?<account>\d{8})(?<check>\d{4})
# Mastercard (16 digits)
# Pattern: (?<network>5[1-5])(?<bin>\d{3})(?<account>\d{9})(?<check>\d{3})
# Input: 5555555555554444
# Groups: network=55, bin=555, account=555555555, check=444
(?<network>5[1-5])(?<bin>\d{3})(?<account>\d{9})(?<check>\d{3})
# Amex (15 digits)
# Pattern: (?<network>3[47])(?<bin>\d{4})(?<account>\d{7})(?<check>\d{4})
# Input: 378282246310005
# Groups: network=37, bin=8282, account=2463100, check=0005
(?<network>3[47])(?<bin>\d{4})(?<account>\d{7})(?<check>\d{4})
# Formatted Card Number
# Pattern: (?<network>\d{4})-(?<bin>\d{4})-(?<account>\d{4})-(?<check>\d{4})
# Input: 4532-0151-1283-0366
# Groups: network=4532, bin=0151, account=1283, check=0366
(?<network>\d{4})-(?<bin>\d{4})-(?<account>\d{4})-(?<check>\d{4})
# Card with Expiry and CVV
# Pattern: (?<number>\d{16}) Exp: (?<expiry>\d{2}/\d{2}) CVV: (?<cvv>\d{3,4})
# Input: 4532015112830366 Exp: 12/25 CVV: 123
# Groups: number=4532015112830366, expiry=12/25, cvv=123
(?<number>\d{16}) Exp: (?<expiry>\d{2}/\d{2}) CVV: (?<cvv>\d{3,4})Patrones de Análisis de Versiones Semánticas
Analizar cadenas de versión semántica en componentes principal, secundario, parche y versión preliminar
Dificultad
6/10
Tiempo estimado
10 min
Etiquetas
version, semver, parsing, release
# Semantic Version Parsing with Named Groups
# Parse major, minor, patch, pre-release, build from version strings
# Basic SemVer
# Pattern: v?(?<major>0|[1-9]\d*)\.(?<minor>0|[1-9]\d*)\.(?<patch>0|[1-9]\d*)
# Input: v2.1.0
# Groups: major=2, minor=1, patch=0
v?(?<major>0|[1-9]\d*)\.(?<minor>0|[1-9]\d*)\.(?<patch>0|[1-9]\d*)
# SemVer with Pre-release
# Pattern: v?(?<major>0|[1-9]\d*)\.(?<minor>0|[1-9]\d*)\.(?<patch>0|[1-9]\d*)(?:-(?<pre>[0-9A-Za-z-]+(?:\.[0-9A-Za-z-]+)*))?
# Input: 2.0.0-alpha.1
# Groups: major=2, minor=0, patch=0, pre=alpha.1
v?(?<major>0|[1-9]\d*)\.(?<minor>0|[1-9]\d*)\.(?<patch>0|[1-9]\d*)(?:-(?<pre>[0-9A-Za-z-]+(?:\.[0-9A-Za-z-]+)*))?
# SemVer with Build Metadata
# Pattern: v?(?<major>0|[1-9]\d*)\.(?<minor>0|[1-9]\d*)\.(?<patch>0|[1-9]\d*)(?:-(?<pre>[0-9A-Za-z-]+))?(?:\+(?<build>[0-9A-Za-z-]+(?:\.[0-9A-Za-z-]+)*))?
# Input: 1.4.2-beta+exp.sha.5114f85
# Groups: major=1, minor=4, patch=2, pre=beta, build=exp.sha.5114f85
v?(?<major>0|[1-9]\d*)\.(?<minor>0|[1-9]\d*)\.(?<patch>0|[1-9]\d*)(?:-(?<pre>[0-9A-Za-z-]+))?(?:\+(?<build>[0-9A-Za-z-]+(?:\.[0-9A-Za-z-]+)*))?
# Package Version
# Pattern: (?<name>[a-z]+)@(?<version>\d+\.\d+\.\d+)
# Input: [email protected]
# Groups: name=package, version=2.1.0
(?<name>[a-z]+)@(?<version>\d+\.\d+\.\d+)
# Version Range
# Pattern: (?<min>\d+\.\d+\.\d+) - (?<max>\d+\.\d+\.\d+)
# Input: 1.0.0 - 2.0.0
# Groups: min=1.0.0, max=2.0.0
(?<min>\d+\.\d+\.\d+) - (?<max>\d+\.\d+\.\d+)Herramientas
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