Advanced Case Manipulation
Regular Expression-Based Conversion
import re
def complex_case_converter(text, target_case='snake'):
## Remove special characters and normalize
normalized = re.sub(r'[^a-zA-Z0-9\s]', '', text)
## Split into words
words = normalized.split()
if target_case == 'snake':
return '_'.join(word.lower() for word in words)
elif target_case == 'camel':
return words[0].lower() + ''.join(word.capitalize() for word in words[1:])
elif target_case == 'pascal':
return ''.join(word.capitalize() for word in words)
elif target_case == 'kebab':
return '-'.join(word.lower() for word in words)
## Example usage
text = "Hello, World! Python Programming@2023"
print(complex_case_converter(text, 'snake'))
print(complex_case_converter(text, 'camel'))
print(complex_case_converter(text, 'pascal'))
print(complex_case_converter(text, 'kebab'))
Case Conversion Strategies
graph TD
A[Input String] --> B{Preprocessing}
B --> C[Normalize]
B --> D[Remove Special Chars]
C & D --> E{Conversion Type}
E --> F[Snake Case]
E --> G[Camel Case]
E --> H[Pascal Case]
E --> I[Kebab Case]
Advanced Conversion Techniques
Technique |
Description |
Use Case |
Normalization |
Remove accents, special characters |
Multilingual text |
Tokenization |
Split into meaningful words |
Complex string parsing |
Preservation |
Maintain original word boundaries |
Specific formatting needs |
Handling Multilingual and Special Cases
import unicodedata
def advanced_unicode_converter(text, target_case='snake'):
## Normalize Unicode characters
normalized = unicodedata.normalize('NFKD', text)
## Remove non-ASCII characters
ascii_text = normalized.encode('ascii', 'ignore').decode('utf-8')
## Remove special characters
cleaned_text = re.sub(r'[^a-zA-Z0-9\s]', '', ascii_text)
words = cleaned_text.split()
if target_case == 'snake':
return '_'.join(word.lower() for word in words)
elif target_case == 'camel':
return words[0].lower() + ''.join(word.capitalize() for word in words[1:])
## Example with multilingual text
multilingual_text = "Hรฉllo, Wรถrld! Python Progrรกmming"
print(advanced_unicode_converter(multilingual_text, 'snake'))
print(advanced_unicode_converter(multilingual_text, 'camel'))
import timeit
def performance_test():
text = "Advanced Python String Manipulation Techniques"
## Test different conversion methods
snake_time = timeit.timeit(
lambda: complex_case_converter(text, 'snake'),
number=10000
)
camel_time = timeit.timeit(
lambda: complex_case_converter(text, 'camel'),
number=10000
)
print(f"Snake Case Conversion Time: {snake_time}")
print(f"Camel Case Conversion Time: {camel_time}")
performance_test()
At LabEx, we believe in empowering developers with sophisticated string manipulation techniques that go beyond basic conversions.