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| Started by | python@bdurham.com |
|---|---|
| First post | 2014-06-30 09:43 -0400 |
| Last post | 2014-06-30 09:43 -0400 |
| Articles | 1 — 1 participant |
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Creating a dict-like class that counts successful and failed key matches python@bdurham.com - 2014-06-30 09:43 -0400
| From | python@bdurham.com |
|---|---|
| Date | 2014-06-30 09:43 -0400 |
| Subject | Creating a dict-like class that counts successful and failed key matches |
| Message-ID | <mailman.11342.1404135832.18130.python-list@python.org> |
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As a diagnostic tool, I would like to create a dict-like class that counts successful and failed key matches by key. By failed I mean in the sense that a default value was returned vs. an exception raised. By count, I mean by tracking counts for individual keys vs. just total success/failure counts. The class needs to support setting values, retrieving values, and retrieving keys, items, and key/item pairs. Basically anything that a regular dict, I'd like my modified class to do as well. Use case: I'm curious to see what key's we're missing that our code is using default to provide and I'm also interested in looking at our high frequency keys as a way to double check our processes. Is this a common pattern covered by the standard lib (I don't see anything in collections)? I'm looking for ideas on how to implement ... as a subclass of Dict, as a duck-like class offering Dict like methods, other? I'm also looking for some hints on what magic methods I should override to accomplish my goal, eg. beyond __getitem__. Thank you, Malcolm
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