PromptBase
Close icon
Explore
General
Home
Marketplace
Apps
Create
Login
Sell
🤖 GPT

Regular Expression Code Snippet Generate

Regular Expression Code Snippet Generate gpt prompt mini thumbnail
TestedTick icon
TipsTick icon
4 examplesTick icon
Regular Expression Code Snippet Generator
...more
$3.99
Get prompt
After purchasing, you will gain access to the prompt file which you can use with GPT or the app builder. You'll receive 20 free generation credits with this purchase. By purchasing this prompt, you agree to our terms of service.
1 day ago

Prompt Details

Model
Chat - GPT-4o (gpt-4o)
Token size
82 ($0.00410 / call)
Example input
[programming language]: Python [Describe the problem]: Validate an email address format
Example output
Here's a Python code snippet that uses a regular expression to validate an email address format: ```python import re def is_valid_email(email): # Define the regular expression for validating an email address email_regex = re.compile( r"^[a-zA-Z0-9._%+-]+@[a-zA-Z0-9.-]+\.[a-zA-Z]{2,}$" ) # Use the regex to check if the email matches the pattern return bool(email_regex.match(email)) # Example usage emails_to_test = [ "test@example.com", # Valid "user.name+tag+sorting@example.com", # Valid "user@sub.domain.com", # Valid "user@domain", # Invalid, no TLD "user@domain.c", # Invalid, TLD too short "user@domain.toolongtld", # Valid, unusual but technically valid TLD "@missingusername.com", # Invalid, missing username "missingatdomain.com", # Invalid, missing '@' "user@.domain.com", # Invalid, domain starts with a dot "user@domain..com" # Invalid, double dot in domain ] for email in emails_to_test: print(f"{email}: {is_valid_email(email)}") ``` ### Explanation of the Regular Expression - `^` and `$`: These are anchors that denote the start and end of the string. This ensures the entire string is validated as an email address. - `[a-zA-Z0-9._%+-]+`: This matches the username part of the email. It allows alphanumeric characters and some special characters (`.`, `_`, `%`, `+`, `-`). The `+` ensures that at least one character is present. - `@`: This is the literal `@` symbol, separating the username from the domain. - `[a-zA-Z0-9.-]+`: This matches the domain part of the email. It allows alphanumeric characters, dots (`.`), and hyphens (`-`). The `+` ensures that at least one character is present. - `\.`: This matches the literal dot (`.`) in the domain, separating the domain name from the TLD. - `[a-zA-Z]{2,}`: This matches the top-level domain (TLD). It ensures that the TLD is composed of at least two alphabetic characters (e.g., `.com`, `.org`). ### How the Code Works 1. **Compile the Regular Expression:** The `re.compile()` function is used to compile the regular expression pattern into a regex object for reuse. 2. **Match the Email:** The `match()` method checks if the input email matches the pattern from start to end. 3. **Return the Result:** The function returns `True` if the email is valid according to the regular expression and `False` otherwise. ### Example Output The code tests several email addresses, printing whether each one is valid: ```plaintext test@example.com: True user.name+tag+sorting@example.com: True user@sub.domain.com: True user@domain: False user@domain.c: False user@domain.toolongtld: True @missingusername.com: False missingatdomain.com: False user@.domain.com: False user@domain..com: False ``` This example illustrates how different email formats are validated using the regular expression.
Browse Marketplace