While I was debugging some illogical behavour I came to the following weirdness in Python 2.5 sorted() function calls:
>>> aa = [10, 5, 20]
>>> sorted(range(len(aa)))
[0, 1, 2]
sorted(range(len(aa)), key=lambda a: aa[a])
[1, 0, 2]
sorted(range(len(aa)), key=lambda a: -aa[a])
[2, 0, 1]
First two calls work as expected, but the last one is imho simply wrong! It should be: [1, 2, 0].
After further experiments for trying to come to the root of the problem I came to this (does not use lambda or negation operation, but it is otherwise the same problem):
>>> bb = [-10, -5, -20]
>>> sorted([0, 1, 2], key=bb.__getitem__)
[2, 0, 1]
Even things like following don't work and show that double negation works again:
>>> bb = [-10, -5, -20]
>>> def fun(i):
... return bb[i]
>>> sorted([0, 1, 2], key=fun)
[2, 0, 1]
>>> def fun2(i):
... return -bb[i]
>>> sorted([0, 1, 2], key=fun2)
[1, 0, 2]
Am I losing my mind or where is the problem? Or why doesn't Python 3.x have the cmp argument that used to work fine (compatibility is the reason why I am not using it)?
The value returned by the key function acts as a proxy for the values being sorted. So when you say
sorted(range(len(aa)), key=lambda a: -aa[a])
you are sorting range(len(aa)), that is [0, 1, 2], but using the values
-aa[0], -aa[1], -aa[2] as the proxy values.
range(len(aa)) 0 1 2 <-- values
aa[a] 10 5 20
-aa[a] -10 -5 -20 <-- proxy values
Since -20, or -aa[2], is the smallest proxy value, its associated value 2
becomes the first element in the sorted result.
Since -10, or -aa[0] is the next smallest, its associated value 0 becomes the second element in the sorted result.
Finally -5, or -aa[1] is the last value, so 1 is the last number in the sorted result.
Thus, sorted(range(len(aa)), key=lambda a: -aa[a]) equals [2, 0, 1].
The answer Python is giving is correct.
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