Elysia Tools
Navegação
Text Processing
Grupos de Captura Nomeados Regex
Coleção de padrões regex usando grupos de captura nomeados para extrair dados estruturados de texto. Grupos nomeados tornam os padrões mais legíveis e mantíveis atribuindo nomes significativos às partes capturadas.
Exemplos
Entradas desta coleção
Padrões de Análise de Data
Extrair componentes de data (ano, mês, dia) de vários formatos de data usando grupos de captura nomeados
Dificuldade
3/10
Tempo 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})Padrões de Análise de Hora
Extrair componentes de hora (hora, minuto, segundo) de vários formatos de hora
Dificuldade
3/10
Tempo 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})Padrões de Análise de URL
Extrair componentes de URL (protocolo, domínio, caminho, consulta, fragmento) de URLs
Dificuldade
6/10
Tempo 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>[^.]+)Padrões de Análise de Email
Extrair componentes de email (parte local, domínio, TLD) de endereços de email
Dificuldade
5/10
Tempo 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)Padrões de Análise de Arquivos de Log
Analisar entradas de log do servidor com carimbo de hora, nível, mensagem e metadados
Dificuldade
7/10
Tempo 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>[^"]*)"Padrões de Análise de Endereço IP
Extrair octetos e componentes de endereço IP de endereços IPv4
Dificuldade
4/10
Tempo 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}))Padrões de Análise de Coordenadas GPS
Extrair latitude e longitude de formatos de coordenadas GPS
Dificuldade
5/10
Tempo 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+))?Padrões de Análise de Código de Produto
Extrair informações do produto de SKUs, UPCs e códigos de produto
Dificuldade
6/10
Tempo 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})Padrões de Análise de Caminho de Arquivo
Extrair diretório, nome de arquivo e extensão de caminhos de arquivo
Dificuldade
5/10
Tempo 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>[^.]+)Padrões de Análise de Nome de Pessoa
Analisar nomes de pessoas em título, primeiro nome, nome do meio, sobrenome e sufixo
Dificuldade
7/10
Tempo 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]+))?Padrões de Análise de Cartão de Crédito
Extrair componentes do cartão (BIN, número da conta, dígito de verificação) de números de cartão de crédito
Dificuldade
8/10
Tempo 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})Padrões de Análise de Versão Semântica
Analisar strings de versão semântica em componentes principal, secundário, patch e pré-lançamento
Dificuldade
6/10
Tempo 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+)Ferramentas
Ferramentas frequentemente usadas com este exemplo
Relacionado