%------------------------------------------------------------------------------ % File : Otter---3.3 % Problem : NLP003-10 : TPTP v8.1.0. Released v7.3.0. % Transfm : none % Format : tptp:raw % Command : otter-tptp-script %s % Computer : n004.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 1.65s 1.87s % Output : None % Verified : % SZS Type : - % Comments : %------------------------------------------------------------------------------ %----No solution output by system %------------------------------------------------------------------------------ %----ORIGINAL SYSTEM OUTPUT % 0.03/0.12 % Problem : NLP003-10 : TPTP v8.1.0. Released v7.3.0. % 0.03/0.13 % Command : otter-tptp-script %s % 0.12/0.33 % Computer : n004.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 08:38:06 EDT 2022 % 0.12/0.33 % CPUTime : % 1.65/1.86 ----- Otter 3.3f, August 2004 ----- % 1.65/1.86 The process was started by sandbox2 on n004.cluster.edu, % 1.65/1.86 Wed Jul 27 08:38:06 2022 % 1.65/1.86 The command was "./otter". The process ID is 12787. % 1.65/1.86 % 1.65/1.86 set(prolog_style_variables). % 1.65/1.86 set(auto). % 1.65/1.86 dependent: set(auto1). % 1.65/1.86 dependent: set(process_input). % 1.65/1.86 dependent: clear(print_kept). % 1.65/1.86 dependent: clear(print_new_demod). % 1.65/1.86 dependent: clear(print_back_demod). % 1.65/1.86 dependent: clear(print_back_sub). % 1.65/1.86 dependent: set(control_memory). % 1.65/1.86 dependent: assign(max_mem, 12000). % 1.65/1.86 dependent: assign(pick_given_ratio, 4). % 1.65/1.86 dependent: assign(stats_level, 1). % 1.65/1.86 dependent: assign(max_seconds, 10800). % 1.65/1.86 clear(print_given). % 1.65/1.86 % 1.65/1.86 list(usable). % 1.65/1.86 0 [] A=A. % 1.65/1.86 0 [] ife_q3(A,A,B,C)=B. % 1.65/1.86 0 [] ife_q2(A,A,B,C)=B. % 1.65/1.86 0 [] ife_q(A,A,B,C)=B. % 1.65/1.86 0 [] event(skf1(U,V))=true. % 1.65/1.86 0 [] ife_q2(nonhuman(U),true,entity(U),true)=true. % 1.65/1.86 0 [] ife_q2(drs(U),true,proposition(U),true)=true. % 1.65/1.86 0 [] ife_q2(proposition(U),true,drs(U),true)=true. % 1.65/1.86 0 [] ife_q2(woman(U),true,female(U),true)=true. % 1.65/1.86 0 [] ife_q2(female(U),true,human(U),true)=true. % 1.65/1.86 0 [] ife_q2(male(U),true,human(U),true)=true. % 1.65/1.86 0 [] ife_q2(man(U),true,male(U),true)=true. % 1.65/1.86 0 [] ife_q2(object(U),true,entity(U),true)=true. % 1.65/1.86 0 [] ife_q2(location(U),true,object(U),true)=true. % 1.65/1.86 0 [] ife_q2(city(U),true,location(U),true)=true. % 1.65/1.86 0 [] ife_q2(hollywood(U),true,city(U),true)=true. % 1.65/1.86 0 [] ife_q2(event(U),true,eventuality(U),true)=true. % 1.65/1.86 0 [] ife_q2(artifact(U),true,object(U),true)=true. % 1.65/1.86 0 [] ife_q2(way(U),true,artifact(U),true)=true. % 1.65/1.86 0 [] ife_q2(street(U),true,way(U),true)=true. % 1.65/1.86 0 [] ife_q2(instrumentality(U),true,artifact(U),true)=true. % 1.65/1.86 0 [] ife_q2(transport(U),true,instrumentality(U),true)=true. % 1.65/1.86 0 [] ife_q2(vehicle(U),true,transport(U),true)=true. % 1.65/1.86 0 [] ife_q2(car(U),true,vehicle(U),true)=true. % 1.65/1.86 0 [] ife_q2(chevy(U),true,car(U),true)=true. % 1.65/1.86 0 [] ife_q2(of(U,V),true,ife_q2(owner(U),true,human(U),true),true)=true. % 1.65/1.86 0 [] ife_q2(of(U,V),true,have(skf1(U,V),V,U),true)=true. % 1.65/1.86 0 [] ife_q2(have(V,U,W),true,ife_q2(human(U),true,owner(U),true),true)=true. % 1.65/1.86 0 [] ife_q3(partof(U,W),true,ife_q3(partof(U,V),true,W,V),V)=V. % 1.65/1.86 0 [] ife_q2(have(U,V,W),true,ife_q2(event(U),true,of(V,W),true),true)=true. % 1.65/1.86 0 [] ife_q2(have(V,U,W),true,ife_q2(human(U),true,of(U,W),true),true)=true. % 1.65/1.86 0 [] ife_q2(of(U,V),true,ife_q2(owner(U),true,have(W,U,V),true),true)=true. % 1.65/1.86 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. % 1.65/1.86 0 [] hollywood(skc7)=true. % 1.65/1.86 0 [] city(skc7)=true. % 1.65/1.86 0 [] event(skc6)=true. % 1.65/1.86 0 [] chevy(skc5)=true. % 1.65/1.86 0 [] car(skc5)=true. % 1.65/1.86 0 [] white(skc5)=true. % 1.65/1.86 0 [] dirty(skc5)=true. % 1.65/1.86 0 [] old(skc5)=true. % 1.65/1.86 0 [] lonely(skc4)=true. % 1.65/1.86 0 [] way(skc4)=true. % 1.65/1.86 0 [] street(skc4)=true. % 1.65/1.86 0 [] in(skc6,skc7)=true. % 1.65/1.86 0 [] down(skc6,skc4)=true. % 1.65/1.86 0 [] barrel(skc6,skc5)=true. % 1.65/1.86 0 [] ife_q(tuple(nonhuman(U),human(U)),tuple(true,true),a,b)=b. % 1.65/1.86 0 [] ife_q(tuple(woman(U),man(U)),tuple(true,true),a,b)=b. % 1.65/1.86 0 [] ife_q(tuple(female(U),male(U)),tuple(true,true),a,b)=b. % 1.65/1.86 0 [] ife_q(tuple(eventuality(U),abstraction(U)),tuple(true,true),a,b)=b. % 1.65/1.86 0 [] ife_q(tuple(entity(U),abstraction(U)),tuple(true,true),a,b)=b. % 1.65/1.86 0 [] ife_q(tuple(entity(U),eventuality(U)),tuple(true,true),a,b)=b. % 1.65/1.86 0 [] ife_q(tuple(old(U),new(U)),tuple(true,true),a,b)=b. % 1.65/1.86 0 [] ife_q(tuple(location(U),artifact(U)),tuple(true,true),a,b)=b. % 1.65/1.86 0 [] ife_q(tuple(way(U),instrumentality(U)),tuple(true,true),a,b)=b. % 1.65/1.86 0 [] a!=b. % 1.65/1.86 end_of_list. % 1.65/1.86 % 1.65/1.86 SCAN INPUT: prop=0, horn=1, equality=1, symmetry=0, max_lits=1. % 1.65/1.86 % 1.65/1.86 All clauses are units, and equality is present; the % 1.65/1.86 strategy will be Knuth-Bendix with positive clauses in sos. % 1.65/1.86 % 1.65/1.86 dependent: set(knuth_bendix). % 1.65/1.86 dependent: set(anl_eq). % 1.65/1.86 dependent: set(para_from). % 1.65/1.86 dependent: set(para_into). % 1.65/1.86 dependent: clear(para_from_right). % 1.65/1.86 dependent: clear(para_into_right). % 1.65/1.86 dependent: set(para_from_vars). % 1.65/1.86 dependent: set(eq_units_both_ways). % 1.65/1.86 dependent: set(dynamic_demod_all). % 1.65/1.86 dependent: set(dynamic_demod). % 1.65/1.86 dependent: set(order_eq). % 1.65/1.86 dependent: set(back_demod). % 1.65/1.86 dependent: set(lrpo). % 1.65/1.86 % 1.65/1.86 ------------> process usable: % 1.65/1.86 ** KEPT (pick-wt=3): 2 [copy,1,flip.1] b!=a. % 1.65/1.86 % 1.65/1.86 ------------> process sos: % 1.65/1.86 ** KEPT (pick-wt=3): 3 [] A=A. % 1.65/1.86 ** KEPT (pick-wt=7): 4 [] ife_q3(A,A,B,C)=B. % 1.65/1.86 ---> New Demodulator: 5 [new_demod,4] ife_q3(A,A,B,C)=B. % 1.65/1.86 ** KEPT (pick-wt=7): 6 [] ife_q2(A,A,B,C)=B. % 1.65/1.86 ---> New Demodulator: 7 [new_demod,6] ife_q2(A,A,B,C)=B. % 1.65/1.86 ** KEPT (pick-wt=7): 8 [] ife_q(A,A,B,C)=B. % 1.65/1.86 ---> New Demodulator: 9 [new_demod,8] ife_q(A,A,B,C)=B. % 1.65/1.86 ** KEPT (pick-wt=6): 10 [] event(skf1(A,B))=true. % 1.65/1.86 ---> New Demodulator: 11 [new_demod,10] event(skf1(A,B))=true. % 1.65/1.86 ** KEPT (pick-wt=9): 12 [] ife_q2(nonhuman(A),true,entity(A),true)=true. % 1.65/1.86 ---> New Demodulator: 13 [new_demod,12] ife_q2(nonhuman(A),true,entity(A),true)=true. % 1.65/1.86 ** KEPT (pick-wt=9): 14 [] ife_q2(drs(A),true,proposition(A),true)=true. % 1.65/1.86 ---> New Demodulator: 15 [new_demod,14] ife_q2(drs(A),true,proposition(A),true)=true. % 1.65/1.86 ** KEPT (pick-wt=9): 16 [] ife_q2(proposition(A),true,drs(A),true)=true. % 1.65/1.86 ---> New Demodulator: 17 [new_demod,16] ife_q2(proposition(A),true,drs(A),true)=true. % 1.65/1.86 ** KEPT (pick-wt=9): 18 [] ife_q2(woman(A),true,female(A),true)=true. % 1.65/1.86 ---> New Demodulator: 19 [new_demod,18] ife_q2(woman(A),true,female(A),true)=true. % 1.65/1.86 ** KEPT (pick-wt=9): 20 [] ife_q2(female(A),true,human(A),true)=true. % 1.65/1.86 ---> New Demodulator: 21 [new_demod,20] ife_q2(female(A),true,human(A),true)=true. % 1.65/1.86 ** KEPT (pick-wt=9): 22 [] ife_q2(male(A),true,human(A),true)=true. % 1.65/1.86 ---> New Demodulator: 23 [new_demod,22] ife_q2(male(A),true,human(A),true)=true. % 1.65/1.86 ** KEPT (pick-wt=9): 24 [] ife_q2(man(A),true,male(A),true)=true. % 1.65/1.86 ---> New Demodulator: 25 [new_demod,24] ife_q2(man(A),true,male(A),true)=true. % 1.65/1.86 ** KEPT (pick-wt=9): 26 [] ife_q2(object(A),true,entity(A),true)=true. % 1.65/1.86 ---> New Demodulator: 27 [new_demod,26] ife_q2(object(A),true,entity(A),true)=true. % 1.65/1.86 ** KEPT (pick-wt=9): 28 [] ife_q2(location(A),true,object(A),true)=true. % 1.65/1.86 ---> New Demodulator: 29 [new_demod,28] ife_q2(location(A),true,object(A),true)=true. % 1.65/1.86 ** KEPT (pick-wt=9): 30 [] ife_q2(city(A),true,location(A),true)=true. % 1.65/1.86 ---> New Demodulator: 31 [new_demod,30] ife_q2(city(A),true,location(A),true)=true. % 1.65/1.86 ** KEPT (pick-wt=9): 32 [] ife_q2(hollywood(A),true,city(A),true)=true. % 1.65/1.86 ---> New Demodulator: 33 [new_demod,32] ife_q2(hollywood(A),true,city(A),true)=true. % 1.65/1.86 ** KEPT (pick-wt=9): 34 [] ife_q2(event(A),true,eventuality(A),true)=true. % 1.65/1.86 ---> New Demodulator: 35 [new_demod,34] ife_q2(event(A),true,eventuality(A),true)=true. % 1.65/1.86 ** KEPT (pick-wt=9): 36 [] ife_q2(artifact(A),true,object(A),true)=true. % 1.65/1.86 ---> New Demodulator: 37 [new_demod,36] ife_q2(artifact(A),true,object(A),true)=true. % 1.65/1.86 ** KEPT (pick-wt=9): 38 [] ife_q2(way(A),true,artifact(A),true)=true. % 1.65/1.86 ---> New Demodulator: 39 [new_demod,38] ife_q2(way(A),true,artifact(A),true)=true. % 1.65/1.86 ** KEPT (pick-wt=9): 40 [] ife_q2(street(A),true,way(A),true)=true. % 1.65/1.86 ---> New Demodulator: 41 [new_demod,40] ife_q2(street(A),true,way(A),true)=true. % 1.65/1.86 ** KEPT (pick-wt=9): 42 [] ife_q2(instrumentality(A),true,artifact(A),true)=true. % 1.65/1.86 ---> New Demodulator: 43 [new_demod,42] ife_q2(instrumentality(A),true,artifact(A),true)=true. % 1.65/1.86 ** KEPT (pick-wt=9): 44 [] ife_q2(transport(A),true,instrumentality(A),true)=true. % 1.65/1.86 ---> New Demodulator: 45 [new_demod,44] ife_q2(transport(A),true,instrumentality(A),true)=true. % 1.65/1.86 ** KEPT (pick-wt=9): 46 [] ife_q2(vehicle(A),true,transport(A),true)=true. % 1.65/1.86 ---> New Demodulator: 47 [new_demod,46] ife_q2(vehicle(A),true,transport(A),true)=true. % 1.65/1.86 ** KEPT (pick-wt=9): 48 [] ife_q2(car(A),true,vehicle(A),true)=true. % 1.65/1.86 ---> New Demodulator: 49 [new_demod,48] ife_q2(car(A),true,vehicle(A),true)=true. % 1.65/1.86 ** KEPT (pick-wt=9): 50 [] ife_q2(chevy(A),true,car(A),true)=true. % 1.65/1.86 ---> New Demodulator: 51 [new_demod,50] ife_q2(chevy(A),true,car(A),true)=true. % 1.65/1.86 ** KEPT (pick-wt=15): 52 [] ife_q2(of(A,B),true,ife_q2(owner(A),true,human(A),true),true)=true. % 1.65/1.86 ---> New Demodulator: 53 [new_demod,52] ife_q2(of(A,B),true,ife_q2(owner(A),true,human(A),true),true)=true. % 1.65/1.86 ** KEPT (pick-wt=14): 54 [] ife_q2(of(A,B),true,have(skf1(A,B),B,A),true)=true. % 1.65/1.86 ---> New Demodulator: 55 [new_demod,54] ife_q2(of(A,B),true,have(skf1(A,B),B,A),true)=true. % 1.65/1.86 ** KEPT (pick-wt=16): 56 [] ife_q2(have(A,B,C),true,ife_q2(human(B),true,owner(B),true),true)=true. % 1.65/1.86 ---> New Demodulator: 57 [new_demod,56] ife_q2(have(A,B,C),true,ife_q2(human(B),true,owner(B),true),true)=true. % 1.65/1.86 ** KEPT (pick-wt=15): 58 [] ife_q3(partof(A,B),true,ife_q3(partof(A,C),true,B,C),C)=C. % 1.65/1.86 ---> New Demodulator: 59 [new_demod,58] ife_q3(partof(A,B),true,ife_q3(partof(A,C),true,B,C),C)=C. % 1.65/1.86 ** KEPT (pick-wt=17): 60 [] ife_q2(have(A,B,C),true,ife_q2(event(A),true,of(B,C),true),true)=true. % 1.65/1.86 ---> New Demodulator: 61 [new_demod,60] ife_q2(have(A,B,C),true,ife_q2(event(A),true,of(B,C),true),true)=true. % 1.65/1.86 ** KEPT (pick-wt=17): 62 [] ife_q2(have(A,B,C),true,ife_q2(human(B),true,of(B,C),true),true)=true. % 1.65/1.86 ---> New Demodulator: 63 [new_demod,62] ife_q2(have(A,B,C),true,ife_q2(human(B),true,of(B,C),true),true)=true. % 1.65/1.86 ** KEPT (pick-wt=17): 64 [] ife_q2(of(A,B),true,ife_q2(owner(A),true,have(C,A,B),true),true)=true. % 1.65/1.86 ---> New Demodulator: 65 [new_demod,64] ife_q2(of(A,B),true,ife_q2(owner(A),true,have(C,A,B),true),true)=true. % 1.65/1.86 ** 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. % 1.65/1.86 ---> 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. % 1.65/1.86 ** KEPT (pick-wt=4): 68 [] hollywood(skc7)=true. % 1.65/1.86 ---> New Demodulator: 69 [new_demod,68] hollywood(skc7)=true. % 1.65/1.86 ** KEPT (pick-wt=4): 70 [] city(skc7)=true. % 1.65/1.86 ---> New Demodulator: 71 [new_demod,70] city(skc7)=true. % 1.65/1.86 ** KEPT (pick-wt=4): 72 [] event(skc6)=true. % 1.65/1.86 ---> New Demodulator: 73 [new_demod,72] event(skc6)=true. % 1.65/1.86 ** KEPT (pick-wt=4): 74 [] chevy(skc5)=true. % 1.65/1.86 ---> New Demodulator: 75 [new_demod,74] chevy(skc5)=true. % 1.65/1.86 ** KEPT (pick-wt=4): 76 [] car(skc5)=true. % 1.65/1.86 ---> New Demodulator: 77 [new_demod,76] car(skc5)=true. % 1.65/1.86 ** KEPT (pick-wt=4): 78 [] white(skc5)=true. % 1.65/1.86 ---> New Demodulator: 79 [new_demod,78] white(skc5)=true. % 1.65/1.86 ** KEPT (pick-wt=4): 80 [] dirty(skc5)=true. % 1.65/1.86 ---> New Demodulator: 81 [new_demod,80] dirty(skc5)=true. % 1.65/1.86 ** KEPT (pick-wt=4): 82 [] old(skc5)=true. % 1.65/1.86 ---> New Demodulator: 83 [new_demod,82] old(skc5)=true. % 1.65/1.86 ** KEPT (pick-wt=4): 84 [] lonely(skc4)=true. % 1.65/1.86 ---> New Demodulator: 85 [new_demod,84] lonely(skc4)=true. % 1.65/1.86 ** KEPT (pick-wt=4): 86 [] way(skc4)=true. % 1.65/1.86 ---> New Demodulator: 87 [new_demod,86] way(skc4)=true. % 1.65/1.86 ** KEPT (pick-wt=4): 88 [] street(skc4)=true. % 1.65/1.86 ---> New Demodulator: 89 [new_demod,88] street(skc4)=true. % 1.65/1.86 ** KEPT (pick-wt=5): 90 [] in(skc6,skc7)=true. % 1.65/1.86 ---> New Demodulator: 91 [new_demod,90] in(skc6,skc7)=true. % 1.65/1.86 ** KEPT (pick-wt=5): 92 [] down(skc6,skc4)=true. % 1.65/1.86 ---> New Demodulator: 93 [new_demod,92] down(skc6,skc4)=true. % 1.65/1.86 ** KEPT (pick-wt=5): 94 [] barrel(skc6,skc5)=true. % 1.65/1.86 ---> New Demodulator: 95 [new_demod,94] barrel(skc6,skc5)=true. % 1.65/1.86 ** KEPT (pick-wt=13): 96 [] ife_q(tuple(nonhuman(A),human(A)),tuple(true,true),a,b)=b. % 1.65/1.86 ---> New Demodulator: 97 [new_demod,96] ife_q(tuple(nonhuman(A),human(A)),tuple(true,true),a,b)=b. % 1.65/1.86 ** KEPT (pick-wt=13): 98 [] ife_q(tuple(woman(A),man(A)),tuple(true,true),a,b)=b. % 1.65/1.86 ---> New Demodulator: 99 [new_demod,98] ife_q(tuple(woman(A),man(A)),tuple(true,true),a,b)=b. % 1.65/1.86 ** KEPT (pick-wt=13): 100 [] ife_q(tuple(female(A),male(A)),tuple(true,true),a,b)=b. % 1.65/1.86 ---> New Demodulator: 101 [new_demod,100] ife_q(tuple(female(A),male(A)),tuple(true,true),a,b)=b. % 1.65/1.86 ** KEPT (pick-wt=13): 102 [] ife_q(tuple(eventuality(A),abstraction(A)),tuple(true,true),a,b)=b. % 1.65/1.86 ---> New Demodulator: 103 [new_demod,102] ife_q(tuple(eventuality(A),abstraction(A)),tuple(true,true),a,b)=b. % 1.65/1.86 ** KEPT (pick-wt=13): 104 [] ife_q(tuple(entity(A),abstraction(A)),tuple(true,true),a,b)=b. % 1.65/1.86 ---> New Demodulator: 105 [new_demod,104] ife_q(tuple(entity(A),abstraction(A)),tuple(true,true),a,b)=b. % 1.65/1.86 ** KEPT (pick-wt=13): 106 [] ife_q(tuple(entity(A),eventuality(A)),tuple(true,true),a,b)=b. % 1.65/1.86 ---> New Demodulator: 107 [new_demod,106] ife_q(tuple(entity(A),eventuality(A)),tuple(true,true),a,b)=b. % 1.65/1.86 ** KEPT (pick-wt=13): 108 [] ife_q(tuple(old(A),new(A)),tuple(true,true),a,b)=b. % 1.65/1.86 ---> New Demodulator: 109 [new_demod,108] ife_q(tuple(old(A),new(A)),tuple(true,true),a,b)=b. % 1.65/1.86 ** KEPT (pick-wt=13): 110 [] ife_q(tuple(location(A),artifact(A)),tuple(true,true),a,b)=b. % 1.65/1.86 ---> New Demodulator: 111 [new_demod,110] ife_q(tuple(location(A),artifact(A)),tuple(true,true),a,b)=b. % 1.65/1.86 ** KEPT (pick-wt=13): 112 [] ife_q(tuple(way(A),instrumentality(A)),tuple(true,true),a,b)=b. % 1.65/1.87 ---> New Demodulator: 113 [new_demod,112] ife_q(tuple(way(A),instrumentality(A)),tuple(true,true),a,b)=b. % 1.65/1.87 Following clause subsumed by 3 during input processing: 0 [copy,3,flip.1] A=A. % 1.65/1.87 >>>> Starting back demodulation with 5. % 1.65/1.87 >>>> Starting back demodulation with 7. % 1.65/1.87 >>>> Starting back demodulation with 9. % 1.65/1.87 >>>> Starting back demodulation with 11. % 1.65/1.87 >>>> Starting back demodulation with 13. % 1.65/1.87 >>>> Starting back demodulation with 15. % 1.65/1.87 >>>> Starting back demodulation with 17. % 1.65/1.87 >>>> Starting back demodulation with 19. % 1.65/1.87 >>>> Starting back demodulation with 21. % 1.65/1.87 >>>> Starting back demodulation with 23. % 1.65/1.87 >>>> Starting back demodulation with 25. % 1.65/1.87 >>>> Starting back demodulation with 27. % 1.65/1.87 >>>> Starting back demodulation with 29. % 1.65/1.87 >>>> Starting back demodulation with 31. % 1.65/1.87 >>>> Starting back demodulation with 33. % 1.65/1.87 >>>> Starting back demodulation with 35. % 1.65/1.87 >>>> Starting back demodulation with 37. % 1.65/1.87 >>>> Starting back demodulation with 39. % 1.65/1.87 >>>> Starting back demodulation with 41. % 1.65/1.87 >>>> Starting back demodulation with 43. % 1.65/1.87 >>>> Starting back demodulation with 45. % 1.65/1.87 >>>> Starting back demodulation with 47. % 1.65/1.87 >>>> Starting back demodulation with 49. % 1.65/1.87 >>>> Starting back demodulation with 51. % 1.65/1.87 >>>> Starting back demodulation with 53. % 1.65/1.87 >>>> Starting back demodulation with 55. % 1.65/1.87 >>>> Starting back demodulation with 57. % 1.65/1.87 >>>> Starting back demodulation with 59. % 1.65/1.87 >>>> Starting back demodulation with 61. % 1.65/1.87 >>>> Starting back demodulation with 63. % 1.65/1.87 >>>> Starting back demodulation with 65. % 1.65/1.87 >>>> Starting back demodulation with 67. % 1.65/1.87 >>>> Starting back demodulation with 69. % 1.65/1.87 >>>> Starting back demodulation with 71. % 1.65/1.87 >>>> Starting back demodulation with 73. % 1.65/1.87 >>>> Starting back demodulation with 75. % 1.65/1.87 >>>> Starting back demodulation with 77. % 1.65/1.87 >>>> Starting back demodulation with 79. % 1.65/1.87 >>>> Starting back demodulation with 81. % 1.65/1.87 >>>> Starting back demodulation with 83. % 1.65/1.87 >>>> Starting back demodulation with 85. % 1.65/1.87 >>>> Starting back demodulation with 87. % 1.65/1.87 >>>> Starting back demodulation with 89. % 1.65/1.87 >>>> Starting back demodulation with 91. % 1.65/1.87 >>>> Starting back demodulation with 93. % 1.65/1.87 >>>> Starting back demodulation with 95. % 1.65/1.87 >>>> Starting back demodulation with 97. % 1.65/1.87 >>>> Starting back demodulation with 99. % 1.65/1.87 >>>> Starting back demodulation with 101. % 1.65/1.87 >>>> Starting back demodulation with 103. % 1.65/1.87 >>>> Starting back demodulation with 105. % 1.65/1.87 >>>> Starting back demodulation with 107. % 1.65/1.87 >>>> Starting back demodulation with 109. % 1.65/1.87 >>>> Starting back demodulation with 111. % 1.65/1.87 >>>> Starting back demodulation with 113. % 1.65/1.87 % 1.65/1.87 ======= end of input processing ======= % 1.65/1.87 % 1.65/1.87 =========== start of search =========== % 1.65/1.87 % 1.65/1.87 Search stopped because sos empty. % 1.65/1.87 % 1.65/1.87 % 1.65/1.87 Search stopped because sos empty. % 1.65/1.87 % 1.65/1.87 ============ end of search ============ % 1.65/1.87 % 1.65/1.87 -------------- statistics ------------- % 1.65/1.87 clauses given 97 % 1.65/1.87 clauses generated 254 % 1.65/1.87 clauses kept 98 % 1.65/1.87 clauses forward subsumed 214 % 1.65/1.87 clauses back subsumed 0 % 1.65/1.87 Kbytes malloced 3906 % 1.65/1.87 % 1.65/1.87 ----------- times (seconds) ----------- % 1.65/1.87 user CPU time 0.01 (0 hr, 0 min, 0 sec) % 1.65/1.87 system CPU time 0.00 (0 hr, 0 min, 0 sec) % 1.65/1.87 wall-clock time 1 (0 hr, 0 min, 1 sec) % 1.65/1.87 % 1.65/1.87 Process 12787 finished Wed Jul 27 08:38:07 2022 % 1.65/1.87 Otter interrupted % 1.65/1.87 PROOF NOT FOUND %------------------------------------------------------------------------------