Higher_Order_Rewriting_Union_Beta 2019-03-28 22.10 pair #432270209

details

property	value
status	complete
benchmark	kop11cai1.xml
ran by	Akihisa Yamada
cpu timeout	1200 seconds
wallclock timeout	300 seconds
memory limit	137438953472 bytes
execution host	n034.star.cs.uiowa.edu
space	Kop_13

run statistics

property	value
solver	Wanda 2.1c
configuration	default
runtime (wallclock)	1.74173 seconds
cpu usage	0.774656
user time	0.718848
system time	0.055808
max virtual memory	134748.0
max residence set size	20368.0

stage attributes

key	value
starexec-result	YES

output

0.70/1.70	YES
0.70/1.73	We consider the system theBenchmark.
0.70/1.73	
0.70/1.73	  Alphabet:
0.70/1.73	
0.70/1.73	    0 : [] --> nat 
0.70/1.73	    cons : [nat * list] --> list 
0.70/1.73	    map : [nat -> nat * list] --> list 
0.70/1.73	    nil : [] --> list 
0.70/1.73	    op : [nat -> nat * nat -> nat] --> nat -> nat 
0.70/1.73	    pow : [nat -> nat * nat] --> nat -> nat 
0.70/1.73	    s : [nat] --> nat 
0.70/1.73	
0.70/1.73	  Rules:
0.70/1.73	
0.70/1.73	    map(f, nil) => nil 
0.70/1.73	    map(f, cons(x, y)) => cons(f x, map(f, y)) 
0.70/1.73	    pow(f, 0) => /\x.x 
0.70/1.73	    pow(f, s(x)) => op(f, pow(f, x)) 
0.70/1.73	    op(f, g) x => f (g x) 
0.70/1.73	    /\x.f x => f 
0.70/1.73	
0.70/1.73	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.
0.70/1.73	
0.70/1.73	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:
0.70/1.73	
0.70/1.73	  Alphabet:
0.70/1.73	
0.70/1.73	    0 : [] --> nat 
0.70/1.73	    cons : [nat * list] --> list 
0.70/1.73	    map : [nat -> nat * list] --> list 
0.70/1.73	    nil : [] --> list 
0.70/1.73	    op : [nat -> nat * nat -> nat] --> nat -> nat 
0.70/1.73	    pow : [nat -> nat * nat] --> nat -> nat 
0.70/1.73	    s : [nat] --> nat 
0.70/1.73	    ~AP1 : [nat -> nat * nat] --> nat 
0.70/1.73	    ~L1 : [nat -> nat] --> nat -> nat 
0.70/1.73	
0.70/1.73	  Rules:
0.70/1.73	
0.70/1.73	    map(F, nil) => nil 
0.70/1.73	    map(F, cons(X, Y)) => cons(~AP1(F, X), map(F, Y)) 
0.70/1.73	    pow(F, 0) => ~L1(/\x.x) 
0.70/1.73	    pow(F, s(X)) => op(F, pow(F, X)) 
0.70/1.73	    op(F, G) X => ~AP1(F, ~AP1(G, X)) 
0.70/1.73	    ~L1(/\x.~AP1(F, x)) => F 
0.70/1.73	    ~L1(/\x.op(F, G) x) => op(F, G) 
0.70/1.73	    ~AP1(F, X) => F X 
0.70/1.73	    ~L1(F) => F 
0.70/1.73	
0.70/1.73	We use rule removal, following [Kop12, Theorem 2.23].
0.70/1.73	
0.70/1.73	This gives the following requirements (possibly using Theorems 2.25 and 2.26 in [Kop12]):
0.70/1.73	
0.70/1.73	  map(F, nil) >? nil 
0.70/1.73	  map(F, cons(X, Y)) >? cons(~AP1(F, X), map(F, Y)) 
0.70/1.73	  pow(F, 0) >? ~L1(/\x.x) 
0.70/1.73	  pow(F, s(X)) >? op(F, pow(F, X)) 
0.70/1.73	  op(F, G) X >? ~AP1(F, ~AP1(G, X)) 
0.70/1.73	  ~L1(/\x.~AP1(F, x)) >? F 
0.70/1.73	  ~L1(/\x.op(F, G) x) >? op(F, G) 
0.70/1.73	  ~AP1(F, X) >? F X 
0.70/1.73	  ~L1(F) >? F 
0.70/1.73	
0.70/1.73	We use a recursive path ordering as defined in [Kop12, Chapter 5].
0.70/1.73	
0.70/1.73	Argument functions:
0.70/1.73	
0.70/1.73	  [[nil]] = _|_ 
0.70/1.73	
0.70/1.73	We choose Lex = {} and Mul = {0, @_{o -> o}, cons, map, op, pow, s, ~AP1, ~L1}, and the following precedence: 0 > pow > s > ~L1 > op > map = ~AP1 > @_{o -> o} > cons
0.70/1.74	
0.70/1.74	Taking the argument function into account, and fixing the greater / greater equal choices, the constraints can be denoted as follows:
0.70/1.74	
0.70/1.74	  map(F, _|_) >= _|_ 
0.70/1.74	  map(F, cons(X, Y)) > cons(~AP1(F, X), map(F, Y)) 
0.70/1.74	  pow(F, 0) > ~L1(/\x.x) 
0.70/1.74	  pow(F, s(X)) >= op(F, pow(F, X)) 
0.70/1.74	  @_{o -> o}(op(F, G), X) >= ~AP1(F, ~AP1(G, X)) 
0.70/1.74	  ~L1(/\x.~AP1(F, x)) >= F 
0.70/1.74	  ~L1(/\x.@_{o -> o}(op(F, G), x)) >= op(F, G) 
0.70/1.74	  ~AP1(F, X) > @_{o -> o}(F, X) 
0.70/1.74	  ~L1(F) >= F 
0.70/1.74	
0.70/1.74	With these choices, we have:
0.70/1.74	
0.70/1.74	  1] map(F, _|_) >= _|_  by (Bot) 
0.70/1.74	
0.70/1.74	  2] map(F, cons(X, Y)) > cons(~AP1(F, X), map(F, Y))  because [3], by definition 
0.70/1.74	  3] map*(F, cons(X, Y)) >= cons(~AP1(F, X), map(F, Y))  because map > cons, [4] and [9], by (Copy) 
0.70/1.74	  4] map*(F, cons(X, Y)) >= ~AP1(F, X)  because map = ~AP1, map in Mul, [5] and [6], by (Stat) 
0.70/1.74	  5] F >= F  by (Meta) 
0.70/1.74	  6] cons(X, Y) > X  because [7], by definition 
0.70/1.74	  7] cons*(X, Y) >= X  because [8], by (Select) 
0.70/1.74	  8] X >= X  by (Meta) 
0.70/1.74	  9] map*(F, cons(X, Y)) >= map(F, Y)  because map in Mul, [5] and [10], by (Stat) 
0.70/1.74	  10] cons(X, Y) > Y  because [11], by definition 
0.70/1.74	  11] cons*(X, Y) >= Y  because [12], by (Select) 
0.70/1.74	  12] Y >= Y  by (Meta) 
0.70/1.74

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