Message197862
| Author |
madison.may |
| Recipients |
NeilGirdhar, aisaac, madison.may, mark.dickinson, pitrou, rhettinger, serhiy.storchaka, tim.peters, westley.martinez |
| Date |
2013-09-16.02:20:09 |
| SpamBayes Score |
-1.0 |
| Marked as misclassified |
Yes |
| Message-id |
<1379298010.49.0.817803533777.issue18844@psf.upfronthosting.co.za> |
| In-reply-to |
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| Content |
Serhiy, from a technical standpoint, your latest patch looks like a solid solution. From an module design standpoint we still have a few options to think through, though. What if random.weighted_choice_generator was moved to random.choice_generator and refactored to take an array of weights as an optional argument? Likewise, random.weighted_choice could still be implemented with an optional arg to random.choice. Here's the pros and cons of each implementation as I see them.
Implementation: weighted_choice_generator + weighted_choice
Pros:
Distinct functions help indicate that weighted_choice should be used in a different manner than choice -- [weighted_choice(x) for _ in range(n)] isn't efficient.
Can take Mapping or Sequence as argument.
Has a single parameter
Cons:
Key, not value, is returned
Requires two new functions
Dissimilar to random.choice
Long function name (weighted_choice_generator)
Implementation: choice_generator + optional arg to choice
Pros:
Builds on existing code layout
Value returned directly
Only a single new function required
More compact function name
Cons:
Difficult to support Mappings
Two args required for choice_generator and random.choice
Users may use [choice(x, weights) for _ in range(n)] expecting efficient results |
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