Bugs item #1460340, was opened at 2006-03-29 00:05
Message generated for change (Comment added) made by phr
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Category: Python Library
Group: Python 2.3
Status: Closed
Resolution: Fixed
Priority: 5
Submitted By: paul rubin (phr)
Assigned to: Nobody/Anonymous (nobody)
Summary: random.sample can raise KeyError
Initial Comment:
I have only tested this in 2.3 and the relevant code in
random.py has changed in the current svn branch, but
from inspection it looks to me like the bug may still
be there.
If you initialize a dictionary as follows:
a={}.fromkeys(range(10)+range(10,100,2)+range(100,110))
then
random.sample(a,3)
raises KeyError most times that you call it.
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>Comment By: paul rubin (phr)
Date: 2006-03-29 09:46
Message:
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I don't think the fix at 43421 is quite right, but I can't
easily test it in my current setup. Suppose
a = dict.fromkeys(range(99) + ['x'])
b = random.sample(a,1)
99% of the time, there's no KeyError and b gets set to [j]
where j is some random integer.
1% of the time, there's a KeyError, random.sample is called
recursively, and the recursive call returns [some integer j]
99% of the time, and returns ['x'] 1% of the time.
So in total, ['x'] gets returned .01% of the time instead of
1% of the time.
I think it's better to not set result[i]=population[j]
inside the loop. Instead, just build up the selected set
until it has enough indices; then try to make a result list
using those indices, and if there's a KeyError, convert the
population to a list and use the same selection set to make
the results.
gbrandl also correctly points out that a dict is not a
sequence type, so maybe it's ok to just punt on dicts. But
it's obvious from the code comments that somebody once
wanted dicts to work, and it's reasonable for people to want
sets to work.
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Comment By: Raymond Hettinger (rhettinger)
Date: 2006-03-29 09:17
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Checked-in a fix.
See revision 43420 and 43421.
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Comment By: Georg Brandl (gbrandl)
Date: 2006-03-29 09:11
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random.sample is documented to take a sequence as its first
argument. A dict is not a sequence type.
I think you want
random.sample(a.keys(), 3)
or, for large dicts,
random.sample(a.iterkeys(), 3)
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