TSTP Solution File: NLP002-10 by Otter---3.3
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- Process Solution
%------------------------------------------------------------------------------
% File : Otter---3.3
% Problem : NLP002-10 : TPTP v8.1.0. Released v7.5.0.
% Transfm : none
% Format : tptp:raw
% Command : otter-tptp-script %s
% Computer : n008.cluster.edu
% Model : x86_64 x86_64
% CPU : Intel(R) Xeon(R) CPU E5-2620 v4 2.10GHz
% Memory : 8042.1875MB
% OS : Linux 3.10.0-693.el7.x86_64
% CPULimit : 300s
% WCLimit : 300s
% DateTime : Wed Jul 27 13:06:25 EDT 2022
% Result : Unknown 1.68s 1.89s
% Output : None
% Verified :
% SZS Type : -
% Comments :
%------------------------------------------------------------------------------
%----No solution output by system
%------------------------------------------------------------------------------
%----ORIGINAL SYSTEM OUTPUT
% 0.11/0.12 % Problem : NLP002-10 : TPTP v8.1.0. Released v7.5.0.
% 0.11/0.13 % Command : otter-tptp-script %s
% 0.12/0.33 % Computer : n008.cluster.edu
% 0.12/0.33 % Model : x86_64 x86_64
% 0.12/0.33 % CPU : Intel(R) Xeon(R) CPU E5-2620 v4 @ 2.10GHz
% 0.12/0.33 % Memory : 8042.1875MB
% 0.12/0.33 % OS : Linux 3.10.0-693.el7.x86_64
% 0.12/0.33 % CPULimit : 300
% 0.12/0.33 % WCLimit : 300
% 0.12/0.33 % DateTime : Wed Jul 27 08:48:23 EDT 2022
% 0.12/0.34 % CPUTime :
% 1.68/1.88 ----- Otter 3.3f, August 2004 -----
% 1.68/1.88 The process was started by sandbox on n008.cluster.edu,
% 1.68/1.88 Wed Jul 27 08:48:23 2022
% 1.68/1.88 The command was "./otter". The process ID is 9597.
% 1.68/1.88
% 1.68/1.88 set(prolog_style_variables).
% 1.68/1.88 set(auto).
% 1.68/1.88 dependent: set(auto1).
% 1.68/1.88 dependent: set(process_input).
% 1.68/1.88 dependent: clear(print_kept).
% 1.68/1.88 dependent: clear(print_new_demod).
% 1.68/1.88 dependent: clear(print_back_demod).
% 1.68/1.88 dependent: clear(print_back_sub).
% 1.68/1.88 dependent: set(control_memory).
% 1.68/1.88 dependent: assign(max_mem, 12000).
% 1.68/1.88 dependent: assign(pick_given_ratio, 4).
% 1.68/1.88 dependent: assign(stats_level, 1).
% 1.68/1.88 dependent: assign(max_seconds, 10800).
% 1.68/1.88 clear(print_given).
% 1.68/1.88
% 1.68/1.88 list(usable).
% 1.68/1.88 0 [] A=A.
% 1.68/1.88 0 [] ife_q3(A,A,B,C)=B.
% 1.68/1.88 0 [] ife_q2(A,A,B,C)=B.
% 1.68/1.88 0 [] ife_q(A,A,B,C)=B.
% 1.68/1.88 0 [] event(skf1(U,V))=true.
% 1.68/1.88 0 [] ife_q2(nonhuman(U),true,entity(U),true)=true.
% 1.68/1.88 0 [] ife_q2(drs(U),true,proposition(U),true)=true.
% 1.68/1.88 0 [] ife_q2(proposition(U),true,drs(U),true)=true.
% 1.68/1.88 0 [] ife_q2(woman(U),true,female(U),true)=true.
% 1.68/1.88 0 [] ife_q2(female(U),true,human(U),true)=true.
% 1.68/1.88 0 [] ife_q2(male(U),true,human(U),true)=true.
% 1.68/1.88 0 [] ife_q2(man(U),true,male(U),true)=true.
% 1.68/1.88 0 [] ife_q2(object(U),true,entity(U),true)=true.
% 1.68/1.88 0 [] ife_q2(location(U),true,object(U),true)=true.
% 1.68/1.88 0 [] ife_q2(city(U),true,location(U),true)=true.
% 1.68/1.88 0 [] ife_q2(hollywood(U),true,city(U),true)=true.
% 1.68/1.88 0 [] ife_q2(event(U),true,eventuality(U),true)=true.
% 1.68/1.88 0 [] ife_q2(artifact(U),true,object(U),true)=true.
% 1.68/1.88 0 [] ife_q2(way(U),true,artifact(U),true)=true.
% 1.68/1.88 0 [] ife_q2(street(U),true,way(U),true)=true.
% 1.68/1.88 0 [] ife_q2(instrumentality(U),true,artifact(U),true)=true.
% 1.68/1.88 0 [] ife_q2(transport(U),true,instrumentality(U),true)=true.
% 1.68/1.88 0 [] ife_q2(vehicle(U),true,transport(U),true)=true.
% 1.68/1.88 0 [] ife_q2(car(U),true,vehicle(U),true)=true.
% 1.68/1.88 0 [] ife_q2(chevy(U),true,car(U),true)=true.
% 1.68/1.88 0 [] ife_q2(of(U,V),true,ife_q2(owner(U),true,human(U),true),true)=true.
% 1.68/1.88 0 [] ife_q2(of(U,V),true,have(skf1(U,V),V,U),true)=true.
% 1.68/1.88 0 [] ife_q2(have(V,U,W),true,ife_q2(human(U),true,owner(U),true),true)=true.
% 1.68/1.88 0 [] ife_q3(partof(U,W),true,ife_q3(partof(U,V),true,W,V),V)=V.
% 1.68/1.88 0 [] ife_q2(have(U,V,W),true,ife_q2(event(U),true,of(V,W),true),true)=true.
% 1.68/1.88 0 [] ife_q2(have(V,U,W),true,ife_q2(human(U),true,of(U,W),true),true)=true.
% 1.68/1.88 0 [] ife_q2(of(U,V),true,ife_q2(owner(U),true,have(W,U,V),true),true)=true.
% 1.68/1.88 0 [] ife_q2(have(W,V,U),true,ife_q2(nonhuman(V),true,ife_q2(nonhuman(U),true,partof(U,V),true),true),true)=true.
% 1.68/1.88 0 [] hollywood(skc7)=true.
% 1.68/1.88 0 [] city(skc7)=true.
% 1.68/1.88 0 [] event(skc6)=true.
% 1.68/1.88 0 [] street(skc5)=true.
% 1.68/1.88 0 [] way(skc5)=true.
% 1.68/1.88 0 [] lonely(skc5)=true.
% 1.68/1.88 0 [] old(skc4)=true.
% 1.68/1.88 0 [] dirty(skc4)=true.
% 1.68/1.88 0 [] white(skc4)=true.
% 1.68/1.88 0 [] car(skc4)=true.
% 1.68/1.88 0 [] chevy(skc4)=true.
% 1.68/1.88 0 [] in(skc6,skc7)=true.
% 1.68/1.88 0 [] down(skc6,skc5)=true.
% 1.68/1.88 0 [] barrel(skc6,skc4)=true.
% 1.68/1.88 0 [] ife_q(tuple(nonhuman(U),human(U)),tuple(true,true),a,b)=b.
% 1.68/1.88 0 [] ife_q(tuple(woman(U),man(U)),tuple(true,true),a,b)=b.
% 1.68/1.88 0 [] ife_q(tuple(female(U),male(U)),tuple(true,true),a,b)=b.
% 1.68/1.88 0 [] ife_q(tuple(eventuality(U),abstraction(U)),tuple(true,true),a,b)=b.
% 1.68/1.88 0 [] ife_q(tuple(entity(U),abstraction(U)),tuple(true,true),a,b)=b.
% 1.68/1.88 0 [] ife_q(tuple(entity(U),eventuality(U)),tuple(true,true),a,b)=b.
% 1.68/1.88 0 [] ife_q(tuple(old(U),new(U)),tuple(true,true),a,b)=b.
% 1.68/1.88 0 [] ife_q(tuple(location(U),artifact(U)),tuple(true,true),a,b)=b.
% 1.68/1.88 0 [] ife_q(tuple(way(U),instrumentality(U)),tuple(true,true),a,b)=b.
% 1.68/1.88 0 [] a!=b.
% 1.68/1.88 end_of_list.
% 1.68/1.88
% 1.68/1.88 SCAN INPUT: prop=0, horn=1, equality=1, symmetry=0, max_lits=1.
% 1.68/1.88
% 1.68/1.88 All clauses are units, and equality is present; the
% 1.68/1.88 strategy will be Knuth-Bendix with positive clauses in sos.
% 1.68/1.88
% 1.68/1.88 dependent: set(knuth_bendix).
% 1.68/1.88 dependent: set(anl_eq).
% 1.68/1.88 dependent: set(para_from).
% 1.68/1.88 dependent: set(para_into).
% 1.68/1.88 dependent: clear(para_from_right).
% 1.68/1.88 dependent: clear(para_into_right).
% 1.68/1.88 dependent: set(para_from_vars).
% 1.68/1.88 dependent: set(eq_units_both_ways).
% 1.68/1.88 dependent: set(dynamic_demod_all).
% 1.68/1.88 dependent: set(dynamic_demod).
% 1.68/1.88 dependent: set(order_eq).
% 1.68/1.88 dependent: set(back_demod).
% 1.68/1.88 dependent: set(lrpo).
% 1.68/1.88
% 1.68/1.88 ------------> process usable:
% 1.68/1.88 ** KEPT (pick-wt=3): 2 [copy,1,flip.1] b!=a.
% 1.68/1.88
% 1.68/1.88 ------------> process sos:
% 1.68/1.88 ** KEPT (pick-wt=3): 3 [] A=A.
% 1.68/1.88 ** KEPT (pick-wt=7): 4 [] ife_q3(A,A,B,C)=B.
% 1.68/1.88 ---> New Demodulator: 5 [new_demod,4] ife_q3(A,A,B,C)=B.
% 1.68/1.88 ** KEPT (pick-wt=7): 6 [] ife_q2(A,A,B,C)=B.
% 1.68/1.88 ---> New Demodulator: 7 [new_demod,6] ife_q2(A,A,B,C)=B.
% 1.68/1.88 ** KEPT (pick-wt=7): 8 [] ife_q(A,A,B,C)=B.
% 1.68/1.88 ---> New Demodulator: 9 [new_demod,8] ife_q(A,A,B,C)=B.
% 1.68/1.88 ** KEPT (pick-wt=6): 10 [] event(skf1(A,B))=true.
% 1.68/1.88 ---> New Demodulator: 11 [new_demod,10] event(skf1(A,B))=true.
% 1.68/1.88 ** KEPT (pick-wt=9): 12 [] ife_q2(nonhuman(A),true,entity(A),true)=true.
% 1.68/1.88 ---> New Demodulator: 13 [new_demod,12] ife_q2(nonhuman(A),true,entity(A),true)=true.
% 1.68/1.88 ** KEPT (pick-wt=9): 14 [] ife_q2(drs(A),true,proposition(A),true)=true.
% 1.68/1.88 ---> New Demodulator: 15 [new_demod,14] ife_q2(drs(A),true,proposition(A),true)=true.
% 1.68/1.88 ** KEPT (pick-wt=9): 16 [] ife_q2(proposition(A),true,drs(A),true)=true.
% 1.68/1.88 ---> New Demodulator: 17 [new_demod,16] ife_q2(proposition(A),true,drs(A),true)=true.
% 1.68/1.88 ** KEPT (pick-wt=9): 18 [] ife_q2(woman(A),true,female(A),true)=true.
% 1.68/1.88 ---> New Demodulator: 19 [new_demod,18] ife_q2(woman(A),true,female(A),true)=true.
% 1.68/1.88 ** KEPT (pick-wt=9): 20 [] ife_q2(female(A),true,human(A),true)=true.
% 1.68/1.88 ---> New Demodulator: 21 [new_demod,20] ife_q2(female(A),true,human(A),true)=true.
% 1.68/1.88 ** KEPT (pick-wt=9): 22 [] ife_q2(male(A),true,human(A),true)=true.
% 1.68/1.88 ---> New Demodulator: 23 [new_demod,22] ife_q2(male(A),true,human(A),true)=true.
% 1.68/1.88 ** KEPT (pick-wt=9): 24 [] ife_q2(man(A),true,male(A),true)=true.
% 1.68/1.88 ---> New Demodulator: 25 [new_demod,24] ife_q2(man(A),true,male(A),true)=true.
% 1.68/1.88 ** KEPT (pick-wt=9): 26 [] ife_q2(object(A),true,entity(A),true)=true.
% 1.68/1.88 ---> New Demodulator: 27 [new_demod,26] ife_q2(object(A),true,entity(A),true)=true.
% 1.68/1.88 ** KEPT (pick-wt=9): 28 [] ife_q2(location(A),true,object(A),true)=true.
% 1.68/1.88 ---> New Demodulator: 29 [new_demod,28] ife_q2(location(A),true,object(A),true)=true.
% 1.68/1.88 ** KEPT (pick-wt=9): 30 [] ife_q2(city(A),true,location(A),true)=true.
% 1.68/1.88 ---> New Demodulator: 31 [new_demod,30] ife_q2(city(A),true,location(A),true)=true.
% 1.68/1.88 ** KEPT (pick-wt=9): 32 [] ife_q2(hollywood(A),true,city(A),true)=true.
% 1.68/1.88 ---> New Demodulator: 33 [new_demod,32] ife_q2(hollywood(A),true,city(A),true)=true.
% 1.68/1.88 ** KEPT (pick-wt=9): 34 [] ife_q2(event(A),true,eventuality(A),true)=true.
% 1.68/1.88 ---> New Demodulator: 35 [new_demod,34] ife_q2(event(A),true,eventuality(A),true)=true.
% 1.68/1.88 ** KEPT (pick-wt=9): 36 [] ife_q2(artifact(A),true,object(A),true)=true.
% 1.68/1.88 ---> New Demodulator: 37 [new_demod,36] ife_q2(artifact(A),true,object(A),true)=true.
% 1.68/1.88 ** KEPT (pick-wt=9): 38 [] ife_q2(way(A),true,artifact(A),true)=true.
% 1.68/1.88 ---> New Demodulator: 39 [new_demod,38] ife_q2(way(A),true,artifact(A),true)=true.
% 1.68/1.88 ** KEPT (pick-wt=9): 40 [] ife_q2(street(A),true,way(A),true)=true.
% 1.68/1.88 ---> New Demodulator: 41 [new_demod,40] ife_q2(street(A),true,way(A),true)=true.
% 1.68/1.88 ** KEPT (pick-wt=9): 42 [] ife_q2(instrumentality(A),true,artifact(A),true)=true.
% 1.68/1.88 ---> New Demodulator: 43 [new_demod,42] ife_q2(instrumentality(A),true,artifact(A),true)=true.
% 1.68/1.88 ** KEPT (pick-wt=9): 44 [] ife_q2(transport(A),true,instrumentality(A),true)=true.
% 1.68/1.88 ---> New Demodulator: 45 [new_demod,44] ife_q2(transport(A),true,instrumentality(A),true)=true.
% 1.68/1.88 ** KEPT (pick-wt=9): 46 [] ife_q2(vehicle(A),true,transport(A),true)=true.
% 1.68/1.88 ---> New Demodulator: 47 [new_demod,46] ife_q2(vehicle(A),true,transport(A),true)=true.
% 1.68/1.88 ** KEPT (pick-wt=9): 48 [] ife_q2(car(A),true,vehicle(A),true)=true.
% 1.68/1.88 ---> New Demodulator: 49 [new_demod,48] ife_q2(car(A),true,vehicle(A),true)=true.
% 1.68/1.88 ** KEPT (pick-wt=9): 50 [] ife_q2(chevy(A),true,car(A),true)=true.
% 1.68/1.88 ---> New Demodulator: 51 [new_demod,50] ife_q2(chevy(A),true,car(A),true)=true.
% 1.68/1.88 ** KEPT (pick-wt=15): 52 [] ife_q2(of(A,B),true,ife_q2(owner(A),true,human(A),true),true)=true.
% 1.68/1.88 ---> New Demodulator: 53 [new_demod,52] ife_q2(of(A,B),true,ife_q2(owner(A),true,human(A),true),true)=true.
% 1.68/1.88 ** KEPT (pick-wt=14): 54 [] ife_q2(of(A,B),true,have(skf1(A,B),B,A),true)=true.
% 1.68/1.88 ---> New Demodulator: 55 [new_demod,54] ife_q2(of(A,B),true,have(skf1(A,B),B,A),true)=true.
% 1.68/1.88 ** KEPT (pick-wt=16): 56 [] ife_q2(have(A,B,C),true,ife_q2(human(B),true,owner(B),true),true)=true.
% 1.68/1.88 ---> New Demodulator: 57 [new_demod,56] ife_q2(have(A,B,C),true,ife_q2(human(B),true,owner(B),true),true)=true.
% 1.68/1.88 ** KEPT (pick-wt=15): 58 [] ife_q3(partof(A,B),true,ife_q3(partof(A,C),true,B,C),C)=C.
% 1.68/1.88 ---> New Demodulator: 59 [new_demod,58] ife_q3(partof(A,B),true,ife_q3(partof(A,C),true,B,C),C)=C.
% 1.68/1.88 ** KEPT (pick-wt=17): 60 [] ife_q2(have(A,B,C),true,ife_q2(event(A),true,of(B,C),true),true)=true.
% 1.68/1.88 ---> New Demodulator: 61 [new_demod,60] ife_q2(have(A,B,C),true,ife_q2(event(A),true,of(B,C),true),true)=true.
% 1.68/1.88 ** KEPT (pick-wt=17): 62 [] ife_q2(have(A,B,C),true,ife_q2(human(B),true,of(B,C),true),true)=true.
% 1.68/1.88 ---> New Demodulator: 63 [new_demod,62] ife_q2(have(A,B,C),true,ife_q2(human(B),true,of(B,C),true),true)=true.
% 1.68/1.88 ** KEPT (pick-wt=17): 64 [] ife_q2(of(A,B),true,ife_q2(owner(A),true,have(C,A,B),true),true)=true.
% 1.68/1.88 ---> New Demodulator: 65 [new_demod,64] ife_q2(of(A,B),true,ife_q2(owner(A),true,have(C,A,B),true),true)=true.
% 1.68/1.88 ** KEPT (pick-wt=22): 66 [] ife_q2(have(A,B,C),true,ife_q2(nonhuman(B),true,ife_q2(nonhuman(C),true,partof(C,B),true),true),true)=true.
% 1.68/1.88 ---> New Demodulator: 67 [new_demod,66] ife_q2(have(A,B,C),true,ife_q2(nonhuman(B),true,ife_q2(nonhuman(C),true,partof(C,B),true),true),true)=true.
% 1.68/1.88 ** KEPT (pick-wt=4): 68 [] hollywood(skc7)=true.
% 1.68/1.88 ---> New Demodulator: 69 [new_demod,68] hollywood(skc7)=true.
% 1.68/1.88 ** KEPT (pick-wt=4): 70 [] city(skc7)=true.
% 1.68/1.88 ---> New Demodulator: 71 [new_demod,70] city(skc7)=true.
% 1.68/1.88 ** KEPT (pick-wt=4): 72 [] event(skc6)=true.
% 1.68/1.88 ---> New Demodulator: 73 [new_demod,72] event(skc6)=true.
% 1.68/1.88 ** KEPT (pick-wt=4): 74 [] street(skc5)=true.
% 1.68/1.88 ---> New Demodulator: 75 [new_demod,74] street(skc5)=true.
% 1.68/1.88 ** KEPT (pick-wt=4): 76 [] way(skc5)=true.
% 1.68/1.88 ---> New Demodulator: 77 [new_demod,76] way(skc5)=true.
% 1.68/1.88 ** KEPT (pick-wt=4): 78 [] lonely(skc5)=true.
% 1.68/1.88 ---> New Demodulator: 79 [new_demod,78] lonely(skc5)=true.
% 1.68/1.88 ** KEPT (pick-wt=4): 80 [] old(skc4)=true.
% 1.68/1.88 ---> New Demodulator: 81 [new_demod,80] old(skc4)=true.
% 1.68/1.88 ** KEPT (pick-wt=4): 82 [] dirty(skc4)=true.
% 1.68/1.88 ---> New Demodulator: 83 [new_demod,82] dirty(skc4)=true.
% 1.68/1.88 ** KEPT (pick-wt=4): 84 [] white(skc4)=true.
% 1.68/1.88 ---> New Demodulator: 85 [new_demod,84] white(skc4)=true.
% 1.68/1.88 ** KEPT (pick-wt=4): 86 [] car(skc4)=true.
% 1.68/1.88 ---> New Demodulator: 87 [new_demod,86] car(skc4)=true.
% 1.68/1.88 ** KEPT (pick-wt=4): 88 [] chevy(skc4)=true.
% 1.68/1.88 ---> New Demodulator: 89 [new_demod,88] chevy(skc4)=true.
% 1.68/1.88 ** KEPT (pick-wt=5): 90 [] in(skc6,skc7)=true.
% 1.68/1.88 ---> New Demodulator: 91 [new_demod,90] in(skc6,skc7)=true.
% 1.68/1.88 ** KEPT (pick-wt=5): 92 [] down(skc6,skc5)=true.
% 1.68/1.88 ---> New Demodulator: 93 [new_demod,92] down(skc6,skc5)=true.
% 1.68/1.88 ** KEPT (pick-wt=5): 94 [] barrel(skc6,skc4)=true.
% 1.68/1.88 ---> New Demodulator: 95 [new_demod,94] barrel(skc6,skc4)=true.
% 1.68/1.88 ** KEPT (pick-wt=13): 96 [] ife_q(tuple(nonhuman(A),human(A)),tuple(true,true),a,b)=b.
% 1.68/1.88 ---> New Demodulator: 97 [new_demod,96] ife_q(tuple(nonhuman(A),human(A)),tuple(true,true),a,b)=b.
% 1.68/1.88 ** KEPT (pick-wt=13): 98 [] ife_q(tuple(woman(A),man(A)),tuple(true,true),a,b)=b.
% 1.68/1.88 ---> New Demodulator: 99 [new_demod,98] ife_q(tuple(woman(A),man(A)),tuple(true,true),a,b)=b.
% 1.68/1.88 ** KEPT (pick-wt=13): 100 [] ife_q(tuple(female(A),male(A)),tuple(true,true),a,b)=b.
% 1.68/1.88 ---> New Demodulator: 101 [new_demod,100] ife_q(tuple(female(A),male(A)),tuple(true,true),a,b)=b.
% 1.68/1.88 ** KEPT (pick-wt=13): 102 [] ife_q(tuple(eventuality(A),abstraction(A)),tuple(true,true),a,b)=b.
% 1.68/1.88 ---> New Demodulator: 103 [new_demod,102] ife_q(tuple(eventuality(A),abstraction(A)),tuple(true,true),a,b)=b.
% 1.68/1.88 ** KEPT (pick-wt=13): 104 [] ife_q(tuple(entity(A),abstraction(A)),tuple(true,true),a,b)=b.
% 1.68/1.88 ---> New Demodulator: 105 [new_demod,104] ife_q(tuple(entity(A),abstraction(A)),tuple(true,true),a,b)=b.
% 1.68/1.88 ** KEPT (pick-wt=13): 106 [] ife_q(tuple(entity(A),eventuality(A)),tuple(true,true),a,b)=b.
% 1.68/1.88 ---> New Demodulator: 107 [new_demod,106] ife_q(tuple(entity(A),eventuality(A)),tuple(true,true),a,b)=b.
% 1.68/1.88 ** KEPT (pick-wt=13): 108 [] ife_q(tuple(old(A),new(A)),tuple(true,true),a,b)=b.
% 1.68/1.88 ---> New Demodulator: 109 [new_demod,108] ife_q(tuple(old(A),new(A)),tuple(true,true),a,b)=b.
% 1.68/1.88 ** KEPT (pick-wt=13): 110 [] ife_q(tuple(location(A),artifact(A)),tuple(true,true),a,b)=b.
% 1.68/1.88 ---> New Demodulator: 111 [new_demod,110] ife_q(tuple(location(A),artifact(A)),tuple(true,true),a,b)=b.
% 1.68/1.88 ** KEPT (pick-wt=13): 112 [] ife_q(tuple(way(A),instrumentality(A)),tuple(true,true),a,b)=b.
% 1.68/1.89 ---> New Demodulator: 113 [new_demod,112] ife_q(tuple(way(A),instrumentality(A)),tuple(true,true),a,b)=b.
% 1.68/1.89 Following clause subsumed by 3 during input processing: 0 [copy,3,flip.1] A=A.
% 1.68/1.89 >>>> Starting back demodulation with 5.
% 1.68/1.89 >>>> Starting back demodulation with 7.
% 1.68/1.89 >>>> Starting back demodulation with 9.
% 1.68/1.89 >>>> Starting back demodulation with 11.
% 1.68/1.89 >>>> Starting back demodulation with 13.
% 1.68/1.89 >>>> Starting back demodulation with 15.
% 1.68/1.89 >>>> Starting back demodulation with 17.
% 1.68/1.89 >>>> Starting back demodulation with 19.
% 1.68/1.89 >>>> Starting back demodulation with 21.
% 1.68/1.89 >>>> Starting back demodulation with 23.
% 1.68/1.89 >>>> Starting back demodulation with 25.
% 1.68/1.89 >>>> Starting back demodulation with 27.
% 1.68/1.89 >>>> Starting back demodulation with 29.
% 1.68/1.89 >>>> Starting back demodulation with 31.
% 1.68/1.89 >>>> Starting back demodulation with 33.
% 1.68/1.89 >>>> Starting back demodulation with 35.
% 1.68/1.89 >>>> Starting back demodulation with 37.
% 1.68/1.89 >>>> Starting back demodulation with 39.
% 1.68/1.89 >>>> Starting back demodulation with 41.
% 1.68/1.89 >>>> Starting back demodulation with 43.
% 1.68/1.89 >>>> Starting back demodulation with 45.
% 1.68/1.89 >>>> Starting back demodulation with 47.
% 1.68/1.89 >>>> Starting back demodulation with 49.
% 1.68/1.89 >>>> Starting back demodulation with 51.
% 1.68/1.89 >>>> Starting back demodulation with 53.
% 1.68/1.89 >>>> Starting back demodulation with 55.
% 1.68/1.89 >>>> Starting back demodulation with 57.
% 1.68/1.89 >>>> Starting back demodulation with 59.
% 1.68/1.89 >>>> Starting back demodulation with 61.
% 1.68/1.89 >>>> Starting back demodulation with 63.
% 1.68/1.89 >>>> Starting back demodulation with 65.
% 1.68/1.89 >>>> Starting back demodulation with 67.
% 1.68/1.89 >>>> Starting back demodulation with 69.
% 1.68/1.89 >>>> Starting back demodulation with 71.
% 1.68/1.89 >>>> Starting back demodulation with 73.
% 1.68/1.89 >>>> Starting back demodulation with 75.
% 1.68/1.89 >>>> Starting back demodulation with 77.
% 1.68/1.89 >>>> Starting back demodulation with 79.
% 1.68/1.89 >>>> Starting back demodulation with 81.
% 1.68/1.89 >>>> Starting back demodulation with 83.
% 1.68/1.89 >>>> Starting back demodulation with 85.
% 1.68/1.89 >>>> Starting back demodulation with 87.
% 1.68/1.89 >>>> Starting back demodulation with 89.
% 1.68/1.89 >>>> Starting back demodulation with 91.
% 1.68/1.89 >>>> Starting back demodulation with 93.
% 1.68/1.89 >>>> Starting back demodulation with 95.
% 1.68/1.89 >>>> Starting back demodulation with 97.
% 1.68/1.89 >>>> Starting back demodulation with 99.
% 1.68/1.89 >>>> Starting back demodulation with 101.
% 1.68/1.89 >>>> Starting back demodulation with 103.
% 1.68/1.89 >>>> Starting back demodulation with 105.
% 1.68/1.89 >>>> Starting back demodulation with 107.
% 1.68/1.89 >>>> Starting back demodulation with 109.
% 1.68/1.89 >>>> Starting back demodulation with 111.
% 1.68/1.89 >>>> Starting back demodulation with 113.
% 1.68/1.89
% 1.68/1.89 ======= end of input processing =======
% 1.68/1.89
% 1.68/1.89 =========== start of search ===========
% 1.68/1.89
% 1.68/1.89 Search stopped because sos empty.
% 1.68/1.89
% 1.68/1.89
% 1.68/1.89 Search stopped because sos empty.
% 1.68/1.89
% 1.68/1.89 ============ end of search ============
% 1.68/1.89
% 1.68/1.89 -------------- statistics -------------
% 1.68/1.89 clauses given 97
% 1.68/1.89 clauses generated 254
% 1.68/1.89 clauses kept 98
% 1.68/1.89 clauses forward subsumed 214
% 1.68/1.89 clauses back subsumed 0
% 1.68/1.89 Kbytes malloced 3906
% 1.68/1.89
% 1.68/1.89 ----------- times (seconds) -----------
% 1.68/1.89 user CPU time 0.01 (0 hr, 0 min, 0 sec)
% 1.68/1.89 system CPU time 0.00 (0 hr, 0 min, 0 sec)
% 1.68/1.89 wall-clock time 2 (0 hr, 0 min, 2 sec)
% 1.68/1.89
% 1.68/1.89 Process 9597 finished Wed Jul 27 08:48:25 2022
% 1.68/1.89 Otter interrupted
% 1.68/1.89 PROOF NOT FOUND
%------------------------------------------------------------------------------