Clear the module cache of compiled regular-expression patterns.
How It Works
re.purge() removes patterns retained in the internal regex cache. Most programs never need it because the cache is managed automatically, and purging does not invalidate Pattern references already stored by your code.
Step-by-Step Example
import re
cached_pattern = re.compile(r'\d+')
re.purge()
print(bool(cached_pattern.search('Number 42')))
Understanding the Example
- The expression "re.compile(r'\\d+')" supplies the value stored as 'cached_pattern'. This value is then used or checked by the later statements.
- The print() call exposes the result so you can compare it with the behavior described above. Check the value and its type when experimenting.
A successful run of this example prints the following output:
True
Where This Fits in a Real Program
Start by writing down examples that should match and examples that must fail. Check whether you need to locate a substring, match a prefix or validate an entire field; these are different operations. Unicode and escape sequences can also change which characters are matched, so test accented text and empty input.
Practice: Try It Yourself
Use purge() only when cache behavior is relevant to specialized debugging.
For this exercise, predict the result before running the changed code. Then explain the difference between the original and modified cases using the actual values, not just whether the program completed.
Further Reading
Read the official Python documentation for complete parameters, return types and exceptions.
Common Beginner Mistakes
- Expecting purge() to delete separately stored Pattern objects or improve ordinary performance.
- Compile and reuse a pattern before and after a cache purge.
Key Takeaways
- Clear the module cache of compiled regular-expression patterns.
- re.purge() removes patterns retained in the internal regex cache.
- Apply the demonstrated operation to the practice input and verify its result before depending on it in a larger program.