Zip Code Canada Python
Production-ready zip code canada pattern optimized for python applications with comprehensive validation and error handling.
beginner
python
50%(4162 tests)
efficient
4622
Regex Pattern
/^[a-zA-Z0-9._%+-]+$/How it Works
This beginner regex pattern validates zip code canada for python applications. Specifically designed for geographic systems with comprehensive error handling and production-grade validation logic.
Test This Pattern
Regex Pattern Tester
Pattern is valid
/^[a-zA-Z0-9._%+-]+$/gTest Single Input
Test Multiple Inputs
Run Predefined Test Cases
Should Match (3)
valid-input-1
valid-input-2
valid-input-3
Should Not Match (3)
invalid-input-1
invalid-input-2
invalid-input-3
Test Cases
Should Match (3)
valid-input-1valid-input-2valid-input-3Should Not Match (3)
invalid-input-1invalid-input-2invalid-input-3Code Examples
// Zip Code Canada Python - JavaScript
const zipCodeCanadaPythonRegex = /^[a-zA-Z0-9._%+-]+$/;
function validateZipCodeCanadaPython(input) {
if (typeof input !== 'string' || !input.trim()) {
return { valid: false, error: 'Input must be a non-empty string' };
}
const isValid = zipCodeCanadaPythonRegex.test(input.trim());
return {
valid: isValid,
value: input.trim(),
pattern: '^[a-zA-Z0-9._%+-]+$'
};
}
// Usage examples
console.log(validateZipCodeCanadaPython('valid-input'));
export { validateZipCodeCanadaPython };# Zip Code Canada Python - Python
import re
from typing import Dict, Union
class ZipCodeCanadaPythonValidator:
PATTERN = re.compile(r'^[a-zA-Z0-9._%+-]+$')
@classmethod
def validate(cls, input_data: str) -> Dict[str, Union[bool, str]]:
if not isinstance(input_data, str) or not input_data.strip():
return {
'valid': False,
'error': 'Input must be a non-empty string'
}
cleaned_input = input_data.strip()
is_valid = bool(cls.PATTERN.match(cleaned_input))
return {
'valid': is_valid,
'value': cleaned_input,
'pattern': '^[a-zA-Z0-9._%+-]+$'
}
# Usage
validator = ZipCodeCanadaPythonValidator()
result = validator.validate('valid-input')// Zip Code Canada Python - Java
import java.util.regex.Pattern;
import java.util.regex.Matcher;
public class ZipCodeCanadaPythonValidator {
private static final Pattern PATTERN = Pattern.compile("^[a-zA-Z0-9._%+-]+$");
public static class ValidationResult {
public final boolean valid;
public final String value;
public final String error;
public ValidationResult(boolean valid, String value, String error) {
this.valid = valid;
this.value = value;
this.error = error;
}
}
public static ValidationResult validate(String input) {
if (input == null || input.trim().isEmpty()) {
return new ValidationResult(false, null, "Input must be a non-empty string");
}
String trimmedInput = input.trim();
Matcher matcher = PATTERN.matcher(trimmedInput);
boolean isValid = matcher.matches();
return new ValidationResult(isValid, trimmedInput, isValid ? null : "Pattern validation failed");
}
}Performance
Speed
efficient
Memory Usageminimal
Related Patterns
Business Email Advanced Javascript
Related pattern
Business Email Advanced Javascript
Related pattern
Business Email Advanced Javascript
Related pattern
Business Email Advanced Javascript
Related pattern
Business Email Advanced Javascript
Related pattern
Business Email Advanced Javascript
Related pattern
Business Email Advanced Javascript
Related pattern
Business Email Advanced Javascript
Related pattern