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advanced patterns when using Python 3.10's `match` statement with complex data structures

👀 Views: 753 đŸ’Ŧ Answers: 1 📅 Created: 2025-05-31
python pattern-matching 3.10 Python

I need some guidance on Quick question that's been bugging me - I've encountered a strange issue with After trying multiple solutions online, I still can't figure this out. I've looked through the documentation and I'm still confused about I'm trying to utilize the new `match` statement introduced in Python 3.10 to simplify my code that deals with nested dictionaries. However, I'm running into unexpected behavior when trying to match against a complex data structure. Here's the code I've written: ```python data = { 'user': { 'id': 123, 'name': 'Alice', 'roles': ['admin', 'user'] }, 'action': 'login' } match data: case {'user': {'id': user_id, 'name': user_name, 'roles': roles}}: print(f'User ID: {user_id}, Name: {user_name}, Roles: {roles}') case _: print('No match found') ``` When I run this code, I expect to see `User ID: 123, Name: Alice, Roles: ['admin', 'user']`, but instead, I get `No match found`. I've double-checked the structure of my `data` dictionary, and it looks correct. I also tried using `case {'user': user_data}` and then matching against `user_data`, but that didn't work either. The documentation mentions that `match` can destructure patterns effectively, so I'm not sure what I'm missing here. Is there a specific limitation with matching dictionaries in this way, or could it be an scenario with how I'm structuring my patterns? Any insights or examples of proper usage would be greatly appreciated! I'm working on a service that needs to handle this. Any ideas what could be causing this? I'd really appreciate any guidance on this.