details

property	value
status	complete
benchmark	h45.xml
ran by	Akihisa Yamada
cpu timeout	1200 seconds
wallclock timeout	300 seconds
memory limit	137438953472 bytes
execution host	n146.star.cs.uiowa.edu
space	Hamana_Kikuchi_18

run statistics

property	value
solver	Wanda 2.2a
configuration	default
runtime (wallclock)	0.528712 seconds
cpu usage	0.529136
user time	0.484317
system time	0.044819
max virtual memory	130444.0
max residence set size	15152.0

stage attributes

key	value
starexec-result	YES

output

YES We consider the system theBenchmark. Alphabet: 0 : [] --> nat mult : [] --> nat -> nat -> nat plus : [] --> nat -> nat -> nat plus3 : [] --> nat -> nat -> nat -> nat rec : [] --> nat -> nat -> (nat -> nat -> nat) -> nat s : [] --> nat -> nat succ2 : [] --> nat -> nat -> nat Rules: rec 0 x (/\y./\z.f y z) => x rec (s x) y (/\z./\u.f z u) => f x (rec x y (/\v./\w.f v w)) succ2 x y => s y plus x y => rec x y (/\z./\u.succ2 z u) plus3 x y z => plus x (plus y z) mult x y => rec x 0 (/\z./\u.plus3 y z u) Using the transformations described in [Kop11], this system can be brought in a form without leading free variables in the left-hand side, and where the left-hand side of a variable is always a functional term or application headed by a functional term. We now transform the resulting AFS into an AFSM by replacing all free variables by meta-variables (with arity 0). This leads to the following AFSM: Alphabet: 0 : [] --> nat mult : [nat * nat] --> nat plus : [nat * nat] --> nat plus3 : [nat * nat * nat] --> nat rec : [nat * nat * nat -> nat -> nat] --> nat s : [nat] --> nat succ2 : [nat * nat] --> nat ~AP1 : [nat -> nat -> nat * nat] --> nat -> nat Rules: rec(0, X, /\x./\y.~AP1(F, x) y) => X rec(s(X), Y, /\x./\y.~AP1(F, x) y) => ~AP1(F, X) rec(X, Y, /\z./\u.~AP1(F, z) u) succ2(X, Y) => s(Y) plus(X, Y) => rec(X, Y, /\x./\y.succ2(x, y)) plus3(X, Y, Z) => plus(X, plus(Y, Z)) mult(X, Y) => rec(X, 0, /\x./\y.plus3(Y, x, y)) rec(0, X, /\x./\y.mult(x, y)) => X rec(0, X, /\x./\y.plus(x, y)) => X rec(0, X, /\x./\y.plus3(Y, x, y)) => X rec(0, X, /\x./\y.succ2(x, y)) => X rec(s(X), Y, /\x./\y.mult(x, y)) => mult(X, rec(X, Y, /\z./\u.mult(z, u))) rec(s(X), Y, /\x./\y.plus(x, y)) => plus(X, rec(X, Y, /\z./\u.plus(z, u))) rec(s(X), Y, /\x./\y.plus3(Z, x, y)) => plus3(Z, X, rec(X, Y, /\z./\u.plus3(Z, z, u))) rec(s(X), Y, /\x./\y.succ2(x, y)) => succ2(X, rec(X, Y, /\z./\u.succ2(z, u))) ~AP1(F, X) => F X Symbol ~AP1 is an encoding for application that is only used in innocuous ways. We can simplify the program (without losing non-termination) by removing it. Additionally, we can remove some (now-)redundant rules. This gives: Alphabet: 0 : [] --> nat mult : [nat * nat] --> nat plus : [nat * nat] --> nat plus3 : [nat * nat * nat] --> nat rec : [nat * nat * nat -> nat -> nat] --> nat s : [nat] --> nat succ2 : [nat * nat] --> nat Rules: rec(0, X, /\x./\y.Y(x, y)) => X rec(s(X), Y, /\x./\y.Z(x, y)) => Z(X, rec(X, Y, /\z./\u.Z(z, u))) succ2(X, Y) => s(Y) plus(X, Y) => rec(X, Y, /\x./\y.succ2(x, y)) plus3(X, Y, Z) => plus(X, plus(Y, Z)) mult(X, Y) => rec(X, 0, /\x./\y.plus3(Y, x, y)) We use rule removal, following [Kop12, Theorem 2.23]. This gives the following requirements (possibly using Theorems 2.25 and 2.26 in [Kop12]): rec(0, X, /\x./\y.Y(x, y)) >? X rec(s(X), Y, /\x./\y.Z(x, y)) >? Z(X, rec(X, Y, /\z./\u.Z(z, u))) succ2(X, Y) >? s(Y) plus(X, Y) >? rec(X, Y, /\x./\y.succ2(x, y)) plus3(X, Y, Z) >? plus(X, plus(Y, Z)) mult(X, Y) >? rec(X, 0, /\x./\y.plus3(Y, x, y)) We use a recursive path ordering as defined in [Kop12, Chapter 5]. Argument functions: [[0]] = _|_ We choose Lex = {} and Mul = {mult, plus, plus3, rec, s, succ2}, and the following precedence: mult > plus3 > plus > succ2 > s > rec Taking the argument function into account, and fixing the greater / greater equal choices, the constraints can be denoted as follows: rec(_|_, X, /\x./\y.Y(x, y)) >= X rec(s(X), Y, /\x./\y.Z(x, y)) > Z(X, rec(X, Y, /\x./\y.Z(x, y))) succ2(X, Y) >= s(Y) popout

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all output return to Higher Order Rewriting Union Beta