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Olivier Blanvillain authoredbc6ac19f
Exercise 1 : Aggregate
Question 1
- g(f(z, x1), f(f(z, x2), x3))
- g(f(f(z, x1), x2), f(z, x3))
- g(g(f(z, x1), f(z, x2)), f(z, x3))
- g(f(z, x1), g(f(z, x2), f(z, x3)))
Question 2
Variant 1
This might lead to different results.
Variant 2
This might lead to different results.
Variant 3
This always leads to the same result.
Variant 4
This always leads to the same result.
Question 3
A property that implies the correctness is:
forall xs, ys. g(xs.F, ys.F) == (xs ++ ys).F (split-invariance)
where we define
xs.F == xs.foldLeft(z)(f)
The intuition is the following. Take any computation tree for
xs.aggregate
. Such a tree has internal nodes labelled by g and segments processed using foldLeft(z)(f)
. The split-invariance law above says that any internal g-node can be removed by concatenating the segments. By repeating this transformation, we obtain the entire result equals xs.foldLeft(z)(f)
.
The split-invariance condition uses foldLeft
. The following two conditions together are a bit simpler and imply split-invariance:
forall u. g(u,z) == u (g-right-unit)
forall u, v. g(u, f(v,x)) == f(g(u,v), x) (g-f-assoc)
Assume g-right-unit and g-f-assoc. We wish to prove split-invariance. We do so by induction on the length of ys
. If ys has length zero, then ys.foldLeft
gives z
, so by g-right-unit both sides reduce to xs.foldLeft. Let ys
have length n>0
and assume by I.H. split-invariance holds for all ys
of length strictly less than n
. Let ys == ys1 :+ y
(that is, y is the last element of ys
). Then
g(xs.F, (ys1 :+ y).F) == (foldLeft definition)
g(xs.F, f(ys1.F, y)) == (by g-f-assoc)
f(g(xs.F, ys1.F), y) == (by I.H.)
f((xs++ys1).F, y) == (foldLeft definition)
((xs++ys1) :+ y).F == (properties of lists)
(xs++(ys1 :+ y)).F
Question 4
def aggregate[B](z: B)(f: (B, A) => B, g: (B, B) => B): B =
if (this.isEmpty) z
else this.map((x: A) => f(z, x)).reduce(g)
Question 5
def aggregate(z: B)(f: (B, A) => B, g: (B, B) => B): B = {
def go(s: Splitter[A]): B = {
if (s.remaining <= THRESHOLD)
s.foldLeft(z)(f)
else {
val splitted = s.split
val subs = splitted.map((t: Splitter[A]) => task { go(t) })
subs.map(_.join()).reduce(g)
}
}
go(splitter)
}
Question 6
The version from question 4 may require 2 traversals (one for map
, one for reduce
) and does not benefit from the (potentially faster) sequential operator f
.
Exercise 2 : Depth
Question 1
Somewhat counterintuitively, the property doesn't hold. To show this, let's take the following values for L1, L2, T, c, and d.
L1 = 10, L2 = 12, T = 11, c = 1, and d = 1.
Using those values, we get that:
D(L1) = 10
D(L2) = max(D(6), D(6)) + 1 = 7
Question 2
Proof sketch
Define the following function D'(L).
Show that D(L) ≤ D'(L) for all 1 ≤ L.
Then, show that, for any 1 ≤ L1 ≤ L2 we have D'(L1) ≤ D'(L2). This property can be shown by induction on L2.
Finally, let n be such that L ≤ 2n < 2L. We have that:
D(L) ≤ D'(L) Proven earlier.
≤ D'(2n) Also proven earlier.
≤ log2(2n) (d + cT) + cT
< log2(2L) (d + cT) + cT
= log2(L) (d + cT) + log2(2) (d + cT) + cT
= log2(L) (d + cT) + d + 2cT
Done.