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Kirill Smelkov
ZEO
Commits
2fb72349
Commit
2fb72349
authored
Jun 01, 2002
by
Tim Peters
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Clarified (I hope <wink>) BTREE_SEARCH's correctness proof.
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src/BTrees/Maintainer.txt
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2fb72349
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@@ -192,48 +192,54 @@ BTree nodes.)
When searching for a key k, then, the child pointer we want to follow
is the one at index i such that K(i) <= k < K(i+1). There can be
only one such i, since the keys are strictly increasing. And there is
at *least* one such i provided the tree isn't empty. For the moment,
assume the tree isn't empty (we'll get back to that later).
at most one such i, since the K(i) are strictly increasing. And there
is at least one such i provided the tree isn't empty (so that 0 < len).
For the moment, assume the tree isn't empty (we'll get back to that
later).
The macro's chief loop invariant is
K(lo) < k < K(hi)
This holds trivially at the start, since lo is set to 0
ah
d hi to
This holds trivially at the start, since lo is set to 0
, an
d hi to
x->len, and we pretend K(0) is minus infinity and K(len) is plus
infinity. Inside the loop, if K(i) < k we set lo to i, and if
K(i) > k we set hi to i. These obviously preserve the invariant.
If K(i) == k, the loop breaks and sets the result to i, and since
K(i) == k in that case i is obviously the correct result.
What if the key isn't present? lo and hi move toward each other,
narrowing the range, until eventually lo+1 == hi. At that point,
i = (lo+hi)/2 = (lo+lo+1)/2 = lo + 1/2 = lo, so that
:
Other cases depend on how i = floor((lo + hi)/2) works, exactly.
Suppose lo + d = hi for some d >= 0. Then i = floor((lo + lo + d)/2) =
floor(lo + d/2) = lo + floor(d/2). So
:
1. The loop's "i > lo" test is false, so the loop ends then.
a. [d == 0] (lo == i == hi) if and only if (lo == hi).
b. [d == 1] (lo == i < hi) if and only if (lo+1 == hi).
c. [d > 1] (lo < i < hi) if and only if (lo+1 < hi).
and
If the node is empty (x->len == 0), then lo==i==hi==0 at the start,
and the loop exits immediately (the first "i > lo" test fails),
without entering the body.
2. The invariant still holds, so K(i) < k < K(i+1), and i is again
the correct answer.
Else lo < hi at the start, and the invariant K(lo) < k < K(hi) holds.
Can we get out of the loop too early? No: if hi = lo + d for some d
greater than 1, then i = (lo+lo+d)/2 = lo + d/2, and d/2 is at least 1
since d is at least 2: i is strictly greater than lo then, and the
loop continues.
If lo+1 < hi, we're in case #c: i is strictly between lo and hi,
so the loop body is entered, and regardless of whether the body sets
the new lo or the new hi to i, the new lo is strictly less than the
new hi, and the difference between the new lo and new hi is strictly
less than the difference between the old lo and old hi. So long as
the new lo + 1 remains < the new hi, we stay in this case. We can't
stay in this case forever, though: because hi-lo decreases on each
trip but remains > 0, lo+1 == hi must eventually become true. (In
fact, it becomes true quickly, in about log2(x->len) trips; the
point is more that lo doesn't equal hi when the loop ends, it has to
end with lo+1==hi and i==lo).
Can lo==hi? Yes, but only if the node is empty. Then i, lo and hi
all start out as 0, and the loop exits immediately. If the loop
isn't empty, then lo and hi start out with different values. Whenever
lo and hi have different values, lo <= (lo + hi)/2 < hi, so i and lo
are strictly smaller than hi, so setting either lo or hi to i leaves
the new lo strictly smaller than the new hi.
Then we're in case #b: i==lo==hi-1 then, and the loop exits. The
invariant still holds, with lo==i and hi==lo+1==i+1:
Can the loop fail to terminate? No: by the above, when lo < hi-1,
lo < i=(lo+hi)/2 < hi, so setting either lo or hi to i leaves the
new lo and hi strictly closer to each other than were the old lo and
hi.
K(i) < k < K(i+1)
so i is again the correct answer.
Optimization points:
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