TSTP Solution File: NLP003+1 by Mace4---1109a
View Problem
- Process Solution
%------------------------------------------------------------------------------
% File : Mace4---1109a
% Problem : NLP003+1 : TPTP v6.4.0. Released v2.4.0.
% Transfm : none
% Format : tptp:raw
% Command : mace4 -t %d -f %s
% Computer : n136.star.cs.uiowa.edu
% Model : x86_64 x86_64
% CPU : Intel(R) Xeon(R) CPU E5-2609 0 2.40GHz
% Memory : 32218.75MB
% OS : Linux 3.10.0-327.36.3.el7.x86_64
% CPULimit : 300s
% DateTime : Wed Feb 8 09:59:07 EST 2017
% Result : CounterSatisfiable 0.25s
% Output : FiniteModel 0.25s
% Verified :
% SZS Type : None (Parsing solution fails)
% Syntax : Number of formulae : 0
% Comments :
%------------------------------------------------------------------------------
%----WARNING: Could not form TPTP format derivation
%------------------------------------------------------------------------------
%----ORIGINAL SYSTEM OUTPUT
% 0.00/0.07 % Problem : NLP003+1 : TPTP v6.4.0. Released v2.4.0.
% 0.00/0.07 % Command : mace4 -t %d -f %s
% 0.02/0.40 % Computer : n136.star.cs.uiowa.edu
% 0.02/0.40 % Model : x86_64 x86_64
% 0.02/0.40 % CPU : Intel(R) Xeon(R) CPU E5-2609 0 @ 2.40GHz
% 0.02/0.40 % Memory : 32218.75MB
% 0.02/0.40 % OS : Linux 3.10.0-327.36.3.el7.x86_64
% 0.02/0.40 % CPULimit : 300
% 0.02/0.40 % DateTime : Tue Feb 7 20:09:02 CST 2017
% 0.02/0.40 % CPUTime :
% 0.25/2.93 % SZS status CounterSatisfiable
% 0.25/2.93 ============================== Mace4 =================================
% 0.25/2.93 Mace4 (32) version 2009-11A, November 2009.
% 0.25/2.93 Process 46646 was started by sandbox on n136.star.cs.uiowa.edu,
% 0.25/2.93 Tue Feb 7 20:09:05 2017
% 0.25/2.93 The command was "/export/starexec/sandbox/solver/bin/mace4 -t 300 -f /tmp/Mace4_input_46613_n136.star.cs.uiowa.edu".
% 0.25/2.93 ============================== end of head ===========================
% 0.25/2.93
% 0.25/2.93 ============================== INPUT =================================
% 0.25/2.93
% 0.25/2.93 % Reading from file /tmp/Mace4_input_46613_n136.star.cs.uiowa.edu
% 0.25/2.93
% 0.25/2.93 set(prolog_style_variables).
% 0.25/2.93 set(print_models_tabular).
% 0.25/2.93 % set(print_models_tabular) -> clear(print_models).
% 0.25/2.93
% 0.25/2.93 formulas(sos).
% 0.25/2.93 (all U (chevy(U) -> car(U))) # label(ax1) # label(axiom).
% 0.25/2.93 (all U (car(U) -> vehicle(U))) # label(ax2) # label(axiom).
% 0.25/2.93 (all U (vehicle(U) -> transport(U))) # label(ax3) # label(axiom).
% 0.25/2.93 (all U (transport(U) -> instrumentality(U))) # label(ax4) # label(axiom).
% 0.25/2.93 (all U (instrumentality(U) -> artifact(U))) # label(ax5) # label(axiom).
% 0.25/2.93 (all U (instrumentality(U) -> -way(U))) # label(ax6) # label(axiom).
% 0.25/2.93 (all U (street(U) -> way(U))) # label(ax7) # label(axiom).
% 0.25/2.93 (all U (way(U) -> artifact(U))) # label(ax8) # label(axiom).
% 0.25/2.93 (all U (artifact(U) -> object(U))) # label(ax9) # label(axiom).
% 0.25/2.93 (all U (artifact(U) -> -location(U))) # label(ax10) # label(axiom).
% 0.25/2.93 (all U (event(U) -> eventuality(U))) # label(ax11) # label(axiom).
% 0.25/2.93 (all U (hollywood(U) -> city(U))) # label(ax12) # label(axiom).
% 0.25/2.93 (all U (city(U) -> location(U))) # label(ax13) # label(axiom).
% 0.25/2.93 (all U (location(U) -> object(U))) # label(ax14) # label(axiom).
% 0.25/2.93 (all U (object(U) -> entity(U))) # label(ax15) # label(axiom).
% 0.25/2.93 (all U (old(U) -> -new(U))) # label(ax16) # label(axiom).
% 0.25/2.93 (all U (eventuality(U) -> -entity(U))) # label(ax17) # label(axiom).
% 0.25/2.93 (all U (abstraction(U) -> -entity(U))) # label(ax18) # label(axiom).
% 0.25/2.93 (all U (abstraction(U) -> -eventuality(U))) # label(ax19) # label(axiom).
% 0.25/2.93 (all U (male(U) -> -female(U))) # label(ax20) # label(axiom).
% 0.25/2.93 (all U (man(U) -> -woman(U))) # label(ax21) # label(axiom).
% 0.25/2.93 (all U (man(U) -> male(U))) # label(ax22) # label(axiom).
% 0.25/2.93 (all U (male(U) -> human(U))) # label(ax23) # label(axiom).
% 0.25/2.93 (all U (female(U) -> human(U))) # label(ax24) # label(axiom).
% 0.25/2.93 (all U (woman(U) -> female(U))) # label(ax25) # label(axiom).
% 0.25/2.93 (all U (drs(U) <-> proposition(U))) # label(ax26) # label(axiom).
% 0.25/2.93 (all U (nonhuman(U) -> entity(U))) # label(ax27) # label(axiom).
% 0.25/2.93 (all U (human(U) -> -nonhuman(U))) # label(ax28) # label(axiom).
% 0.25/2.93 (all U all V all W (have(U,V,W) & human(V) <-> owner(V) & of(V,W))) # label(ax29) # label(axiom).
% 0.25/2.93 (all U all V all W (have(U,V,W) & nonhuman(V) & nonhuman(W) -> partof(W,V))) # label(ax30) # label(axiom).
% 0.25/2.93 (all U all V all W (event(U) & have(U,V,W) -> of(V,W))) # label(ax31) # label(axiom).
% 0.25/2.93 (all U all V (of(V,U) -> (exists W (event(W) & have(W,U,V))))) # label(ax32) # label(axiom).
% 0.25/2.93 (all U all V all W (partof(U,V) & partof(U,W) -> V = W)) # label(ax33) # label(axiom).
% 0.25/2.93 --(exists U exists V exists W exists X (hollywood(U) & city(U) & event(V) & chevy(W) & car(W) & white(W) & dirty(W) & old(W) & street(X) & way(X) & lonely(X) & barrel(V,W) & down(V,X) & in(V,U))) # label(co1) # label(negated_conjecture).
% 0.25/2.93 end_of_list.
% 0.25/2.93
% 0.25/2.93 % From the command line: assign(max_seconds, 300).
% 0.25/2.93
% 0.25/2.93 ============================== end of input ==========================
% 0.25/2.93
% 0.25/2.93 ============================== PROCESS NON-CLAUSAL FORMULAS ==========
% 0.25/2.93
% 0.25/2.93 % Formulas that are not ordinary clauses:
% 0.25/2.93 1 (all U (chevy(U) -> car(U))) # label(ax1) # label(axiom) # label(non_clause). [assumption].
% 0.25/2.93 2 (all U (car(U) -> vehicle(U))) # label(ax2) # label(axiom) # label(non_clause). [assumption].
% 0.25/2.93 3 (all U (vehicle(U) -> transport(U))) # label(ax3) # label(axiom) # label(non_clause). [assumption].
% 0.25/2.93 4 (all U (transport(U) -> instrumentality(U))) # label(ax4) # label(axiom) # label(non_clause). [assumption].
% 0.25/2.93 5 (all U (instrumentality(U) -> artifact(U))) # label(ax5) # label(axiom) # label(non_clause). [assumption].
% 0.25/2.93 6 (all U (instrumentality(U) -> -way(U))) # label(ax6) # label(axiom) # label(non_clause). [assumption].
% 0.25/2.93 7 (all U (street(U) -> way(U))) # label(ax7) # label(axiom) # label(non_clause). [assumption].
% 0.25/2.93 8 (all U (way(U) -> artifact(U))) # label(ax8) # label(axiom) # label(non_clause). [assumption].
% 0.25/2.93 9 (all U (artifact(U) -> object(U))) # label(ax9) # label(axiom) # label(non_clause). [assumption].
% 0.25/2.93 10 (all U (artifact(U) -> -location(U))) # label(ax10) # label(axiom) # label(non_clause). [assumption].
% 0.25/2.93 11 (all U (event(U) -> eventuality(U))) # label(ax11) # label(axiom) # label(non_clause). [assumption].
% 0.25/2.93 12 (all U (hollywood(U) -> city(U))) # label(ax12) # label(axiom) # label(non_clause). [assumption].
% 0.25/2.93 13 (all U (city(U) -> location(U))) # label(ax13) # label(axiom) # label(non_clause). [assumption].
% 0.25/2.93 14 (all U (location(U) -> object(U))) # label(ax14) # label(axiom) # label(non_clause). [assumption].
% 0.25/2.93 15 (all U (object(U) -> entity(U))) # label(ax15) # label(axiom) # label(non_clause). [assumption].
% 0.25/2.93 16 (all U (old(U) -> -new(U))) # label(ax16) # label(axiom) # label(non_clause). [assumption].
% 0.25/2.93 17 (all U (eventuality(U) -> -entity(U))) # label(ax17) # label(axiom) # label(non_clause). [assumption].
% 0.25/2.93 18 (all U (abstraction(U) -> -entity(U))) # label(ax18) # label(axiom) # label(non_clause). [assumption].
% 0.25/2.93 19 (all U (abstraction(U) -> -eventuality(U))) # label(ax19) # label(axiom) # label(non_clause). [assumption].
% 0.25/2.93 20 (all U (male(U) -> -female(U))) # label(ax20) # label(axiom) # label(non_clause). [assumption].
% 0.25/2.93 21 (all U (man(U) -> -woman(U))) # label(ax21) # label(axiom) # label(non_clause). [assumption].
% 0.25/2.93 22 (all U (man(U) -> male(U))) # label(ax22) # label(axiom) # label(non_clause). [assumption].
% 0.25/2.93 23 (all U (male(U) -> human(U))) # label(ax23) # label(axiom) # label(non_clause). [assumption].
% 0.25/2.93 24 (all U (female(U) -> human(U))) # label(ax24) # label(axiom) # label(non_clause). [assumption].
% 0.25/2.93 25 (all U (woman(U) -> female(U))) # label(ax25) # label(axiom) # label(non_clause). [assumption].
% 0.25/2.93 26 (all U (drs(U) <-> proposition(U))) # label(ax26) # label(axiom) # label(non_clause). [assumption].
% 0.25/2.93 27 (all U (nonhuman(U) -> entity(U))) # label(ax27) # label(axiom) # label(non_clause). [assumption].
% 0.25/2.93 28 (all U (human(U) -> -nonhuman(U))) # label(ax28) # label(axiom) # label(non_clause). [assumption].
% 0.25/2.93 29 (all U all V all W (have(U,V,W) & human(V) <-> owner(V) & of(V,W))) # label(ax29) # label(axiom) # label(non_clause). [assumption].
% 0.25/2.93 30 (all U all V all W (have(U,V,W) & nonhuman(V) & nonhuman(W) -> partof(W,V))) # label(ax30) # label(axiom) # label(non_clause). [assumption].
% 0.25/2.93 31 (all U all V all W (event(U) & have(U,V,W) -> of(V,W))) # label(ax31) # label(axiom) # label(non_clause). [assumption].
% 0.25/2.93 32 (all U all V (of(V,U) -> (exists W (event(W) & have(W,U,V))))) # label(ax32) # label(axiom) # label(non_clause). [assumption].
% 0.25/2.93 33 (all U all V all W (partof(U,V) & partof(U,W) -> V = W)) # label(ax33) # label(axiom) # label(non_clause). [assumption].
% 0.25/2.93 34 --(exists U exists V exists W exists X (hollywood(U) & city(U) & event(V) & chevy(W) & car(W) & white(W) & dirty(W) & old(W) & street(X) & way(X) & lonely(X) & barrel(V,W) & down(V,X) & in(V,U))) # label(co1) # label(negated_conjecture) # label(non_clause). [assumption].
% 0.25/2.93
% 0.25/2.93 ============================== end of process non-clausal formulas ===
% 0.25/2.93
% 0.25/2.93 ============================== CLAUSES FOR SEARCH ====================
% 0.25/2.93
% 0.25/2.93 formulas(mace4_clauses).
% 0.25/2.93 -chevy(A) | car(A) # label(ax1) # label(axiom).
% 0.25/2.93 -car(A) | vehicle(A) # label(ax2) # label(axiom).
% 0.25/2.93 -vehicle(A) | transport(A) # label(ax3) # label(axiom).
% 0.25/2.93 -transport(A) | instrumentality(A) # label(ax4) # label(axiom).
% 0.25/2.93 -instrumentality(A) | artifact(A) # label(ax5) # label(axiom).
% 0.25/2.93 -instrumentality(A) | -way(A) # label(ax6) # label(axiom).
% 0.25/2.93 -street(A) | way(A) # label(ax7) # label(axiom).
% 0.25/2.93 -way(A) | artifact(A) # label(ax8) # label(axiom).
% 0.25/2.93 -artifact(A) | object(A) # label(ax9) # label(axiom).
% 0.25/2.93 -artifact(A) | -location(A) # label(ax10) # label(axiom).
% 0.25/2.93 -event(A) | eventuality(A) # label(ax11) # label(axiom).
% 0.25/2.93 -hollywood(A) | city(A) # label(ax12) # label(axiom).
% 0.25/2.93 -city(A) | location(A) # label(ax13) # label(axiom).
% 0.25/2.93 -location(A) | object(A) # label(ax14) # label(axiom).
% 0.25/2.93 -object(A) | entity(A) # label(ax15) # label(axiom).
% 0.25/2.93 -old(A) | -new(A) # label(ax16) # label(axiom).
% 0.25/2.93 -eventuality(A) | -entity(A) # label(ax17) # label(axiom).
% 0.25/2.93 -abstraction(A) | -entity(A) # label(ax18) # label(axiom).
% 0.25/2.93 -abstraction(A) | -eventuality(A) # label(ax19) # label(axiom).
% 0.25/2.93 -male(A) | -female(A) # label(ax20) # label(axiom).
% 0.25/2.93 -man(A) | -woman(A) # label(ax21) # label(axiom).
% 0.25/2.93 -man(A) | male(A) # label(ax22) # label(axiom).
% 0.25/2.93 -male(A) | human(A) # label(ax23) # label(axiom).
% 0.25/2.93 -female(A) | human(A) # label(ax24) # label(axiom).
% 0.25/2.93 -woman(A) | female(A) # label(ax25) # label(axiom).
% 0.25/2.93 -drs(A) | proposition(A) # label(ax26) # label(axiom).
% 0.25/2.93 drs(A) | -proposition(A) # label(ax26) # label(axiom).
% 0.25/2.93 -nonhuman(A) | entity(A) # label(ax27) # label(axiom).
% 0.25/2.93 -human(A) | -nonhuman(A) # label(ax28) # label(axiom).
% 0.25/2.93 -have(A,B,C) | -human(B) | owner(B) # label(ax29) # label(axiom).
% 0.25/2.93 -have(A,B,C) | -human(B) | of(B,C) # label(ax29) # label(axiom).
% 0.25/2.93 have(A,B,C) | -owner(B) | -of(B,C) # label(ax29) # label(axiom).
% 0.25/2.93 human(A) | -owner(A) | -of(A,B) # label(ax29) # label(axiom).
% 0.25/2.93 -have(A,B,C) | -nonhuman(B) | -nonhuman(C) | partof(C,B) # label(ax30) # label(axiom).
% 0.25/2.93 -event(A) | -have(A,B,C) | of(B,C) # label(ax31) # label(axiom).
% 0.25/2.93 -of(A,B) | event(f1(B,A)) # label(ax32) # label(axiom).
% 0.25/2.93 -of(A,B) | have(f1(B,A),B,A) # label(ax32) # label(axiom).
% 0.25/2.93 -partof(A,B) | -partof(A,C) | C = B # label(ax33) # label(axiom).
% 0.25/2.93 hollywood(c1) # label(co1) # label(negated_conjecture).
% 0.25/2.93 city(c1) # label(co1) # label(negated_conjecture).
% 0.25/2.93 event(c2) # label(co1) # label(negated_conjecture).
% 0.25/2.93 chevy(c3) # label(co1) # label(negated_conjecture).
% 0.25/2.93 car(c3) # label(co1) # label(negated_conjecture).
% 0.25/2.93 white(c3) # label(co1) # label(negated_conjecture).
% 0.25/2.93 dirty(c3) # label(co1) # label(negated_conjecture).
% 0.25/2.93 old(c3) # label(co1) # label(negated_conjecture).
% 0.25/2.93 street(c4) # label(co1) # label(negated_conjecture).
% 0.25/2.93 way(c4) # label(co1) # label(negated_conjecture).
% 0.25/2.93 lonely(c4) # label(co1) # label(negated_conjecture).
% 0.25/2.93 barrel(c2,c3) # label(co1) # label(negated_conjecture).
% 0.25/2.93 down(c2,c4) # label(co1) # label(negated_conjecture).
% 0.25/2.93 in(c2,c1) # label(co1) # label(negated_conjecture).
% 0.25/2.93 end_of_list.
% 0.25/2.93
% 0.25/2.93 ============================== end of clauses for search =============
% 0.25/2.93 % SZS output start FiniteModel
% 0.25/2.93
% 0.25/2.93 % There are no natural numbers in the input.
% 0.25/2.93
% 0.25/2.93 c1 : 0
% 0.25/2.93
% 0.25/2.93 c2 : 1
% 0.25/2.93
% 0.25/2.93 c3 : 2
% 0.25/2.93
% 0.25/2.93 c4 : 3
% 0.25/2.93
% 0.25/2.93 f1 :
% 0.25/2.93 | 0 1 2 3
% 0.25/2.93 --+--------
% 0.25/2.93 0 | 0 0 0 0
% 0.25/2.93 1 | 0 0 0 0
% 0.25/2.93 2 | 0 0 0 0
% 0.25/2.93 3 | 0 0 0 0
% 0.25/2.93
% 0.25/2.93 abstraction :
% 0.25/2.93 0 1 2 3
% 0.25/2.93 -----------
% 0.25/2.93 0 0 0 0
% 0.25/2.93
% 0.25/2.93 artifact :
% 0.25/2.93 0 1 2 3
% 0.25/2.93 -----------
% 0.25/2.93 0 0 1 1
% 0.25/2.93
% 0.25/2.93 car :
% 0.25/2.93 0 1 2 3
% 0.25/2.93 -----------
% 0.25/2.93 0 0 1 0
% 0.25/2.93
% 0.25/2.93 chevy :
% 0.25/2.93 0 1 2 3
% 0.25/2.93 -----------
% 0.25/2.93 0 0 1 0
% 0.25/2.93
% 0.25/2.93 city :
% 0.25/2.93 0 1 2 3
% 0.25/2.93 -----------
% 0.25/2.93 1 0 0 0
% 0.25/2.93
% 0.25/2.93 dirty :
% 0.25/2.93 0 1 2 3
% 0.25/2.93 -----------
% 0.25/2.93 0 0 1 0
% 0.25/2.93
% 0.25/2.93 drs :
% 0.25/2.93 0 1 2 3
% 0.25/2.93 -----------
% 0.25/2.93 0 0 0 0
% 0.25/2.93
% 0.25/2.93 entity :
% 0.25/2.93 0 1 2 3
% 0.25/2.93 -----------
% 0.25/2.93 1 0 1 1
% 0.25/2.93
% 0.25/2.93 event :
% 0.25/2.93 0 1 2 3
% 0.25/2.93 -----------
% 0.25/2.93 0 1 0 0
% 0.25/2.93
% 0.25/2.93 eventuality :
% 0.25/2.93 0 1 2 3
% 0.25/2.93 -----------
% 0.25/2.93 0 1 0 0
% 0.25/2.93
% 0.25/2.93 female :
% 0.25/2.93 0 1 2 3
% 0.25/2.93 -----------
% 0.25/2.93 0 0 0 0
% 0.25/2.93
% 0.25/2.93 hollywood :
% 0.25/2.93 0 1 2 3
% 0.25/2.93 -----------
% 0.25/2.93 1 0 0 0
% 0.25/2.93
% 0.25/2.93 human :
% 0.25/2.93 0 1 2 3
% 0.25/2.93 -----------
% 0.25/2.93 0 0 0 0
% 0.25/2.93
% 0.25/2.93 instrumentality :
% 0.25/2.93 0 1 2 3
% 0.25/2.93 -----------
% 0.25/2.93 0 0 1 0
% 0.25/2.93
% 0.25/2.93 location :
% 0.25/2.93 0 1 2 3
% 0.25/2.93 -----------
% 0.25/2.93 1 0 0 0
% 0.25/2.93
% 0.25/2.93 lonely :
% 0.25/2.93 0 1 2 3
% 0.25/2.93 -----------
% 0.25/2.93 0 0 0 1
% 0.25/2.93
% 0.25/2.93 male :
% 0.25/2.93 0 1 2 3
% 0.25/2.93 -----------
% 0.25/2.93 0 0 0 0
% 0.25/2.93
% 0.25/2.93 man :
% 0.25/2.93 0 1 2 3
% 0.25/2.93 -----------
% 0.25/2.93 0 0 0 0
% 0.25/2.93
% 0.25/2.93 new :
% 0.25/2.93 0 1 2 3
% 0.25/2.93 -----------
% 0.25/2.93 0 0 0 0
% 0.25/2.93
% 0.25/2.93 nonhuman :
% 0.25/2.93 0 1 2 3
% 0.25/2.93 -----------
% 0.25/2.93 0 0 0 0
% 0.25/2.93
% 0.25/2.93 object :
% 0.25/2.93 0 1 2 3
% 0.25/2.93 -----------
% 0.25/2.93 1 0 1 1
% 0.25/2.93
% 0.25/2.93 old :
% 0.25/2.93 0 1 2 3
% 0.25/2.93 -----------
% 0.25/2.93 0 0 1 0
% 0.25/2.93
% 0.25/2.93 owner :
% 0.25/2.93 0 1 2 3
% 0.25/2.93 -----------
% 0.25/2.93 0 0 0 0
% 0.25/2.93
% 0.25/2.93 proposition :
% 0.25/2.93 0 1 2 3
% 0.25/2.93 -----------
% 0.25/2.93 0 0 0 0
% 0.25/2.93
% 0.25/2.93 street :
% 0.25/2.93 0 1 2 3
% 0.25/2.93 -----------
% 0.25/2.93 0 0 0 1
% 0.25/2.93
% 0.25/2.93 transport :
% 0.25/2.93 0 1 2 3
% 0.25/2.93 -----------
% 0.25/2.93 0 0 1 0
% 0.25/2.93
% 0.25/2.93 vehicle :
% 0.25/2.93 0 1 2 3
% 0.25/2.93 -----------
% 0.25/2.93 0 0 1 0
% 0.25/2.93
% 0.25/2.93 way :
% 0.25/2.93 0 1 2 3
% 0.25/2.93 -----------
% 0.25/2.93 0 0 0 1
% 0.25/2.93
% 0.25/2.93 white :
% 0.25/2.93 0 1 2 3
% 0.25/2.93 -----------
% 0.25/2.93 0 0 1 0
% 0.25/2.93
% 0.25/2.93 woman :
% 0.25/2.93 0 1 2 3
% 0.25/2.93 -----------
% 0.25/2.93 0 0 0 0
% 0.25/2.93
% 0.25/2.93 barrel :
% 0.25/2.93 | 0 1 2 3
% 0.25/2.93 --+--------
% 0.25/2.93 0 | 0 0 0 0
% 0.25/2.93 1 | 0 0 1 0
% 0.25/2.93 2 | 0 0 0 0
% 0.25/2.93 3 | 0 0 0 0
% 0.25/2.93
% 0.25/2.93 down :
% 0.25/2.93 | 0 1 2 3
% 0.25/2.93 --+--------
% 0.25/2.93 0 | 0 0 0 0
% 0.25/2.93 1 | 0 0 0 1
% 0.25/2.93 2 | 0 0 0 0
% 0.25/2.93 3 | 0 0 0 0
% 0.25/2.93
% 0.25/2.93 in :
% 0.25/2.93 | 0 1 2 3
% 0.25/2.93 --+--------
% 0.25/2.93 0 | 0 0 0 0
% 0.25/2.93 1 | 1 0 0 0
% 0.25/2.93 2 | 0 0 0 0
% 0.25/2.93 3 | 0 0 0 0
% 0.25/2.93
% 0.25/2.93 of :
% 0.25/2.93 | 0 1 2 3
% 0.25/2.93 --+--------
% 0.25/2.93 0 | 0 0 0 0
% 0.25/2.93 1 | 0 0 0 0
% 0.25/2.93 2 | 0 0 0 0
% 0.25/2.93 3 | 0 0 0 0
% 0.25/2.93
% 0.25/2.93 partof :
% 0.25/2.93 | 0 1 2 3
% 0.25/2.93 --+--------
% 0.25/2.93 0 | 0 0 0 0
% 0.25/2.93 1 | 0 0 0 0
% 0.25/2.93 2 | 0 0 0 0
% 0.25/2.93 3 | 0 0 0 0
% 0.25/2.93 have(0,0,0) = 0.
% 0.25/2.93 have(0,0,1) = 0.
% 0.25/2.93 have(0,0,2) = 0.
% 0.25/2.93 have(0,0,3) = 0.
% 0.25/2.93 have(0,1,0) = 0.
% 0.25/2.93 have(0,1,1) = 0.
% 0.25/2.93 have(0,1,2) = 0.
% 0.25/2.93 have(0,1,3) = 0.
% 0.25/2.93 have(0,2,0) = 0.
% 0.25/2.93 have(0,2,1) = 0.
% 0.25/2.93 have(0,2,2) = 0.
% 0.25/2.93 have(0,2,3) = 0.
% 0.25/2.93 have(0,3,0) = 0.
% 0.25/2.93 have(0,3,1) = 0.
% 0.25/2.93 have(0,3,2) = 0.
% 0.25/2.93 have(0,3,3) = 0.
% 0.25/2.93 have(1,0,0) = 0.
% 0.25/2.93 have(1,0,1) = 0.
% 0.25/2.93 have(1,0,2) = 0.
% 0.25/2.93 have(1,0,3) = 0.
% 0.25/2.93 have(1,1,0) = 0.
% 0.25/2.93 have(1,1,1) = 0.
% 0.25/2.93 have(1,1,2) = 0.
% 0.25/2.93 have(1,1,3) = 0.
% 0.25/2.93 have(1,2,0) = 0.
% 0.25/2.93 have(1,2,1) = 0.
% 0.25/2.93 have(1,2,2) = 0.
% 0.25/2.93 have(1,2,3) = 0.
% 0.25/2.93 have(1,3,0) = 0.
% 0.25/2.93 have(1,3,1) = 0.
% 0.25/2.93 have(1,3,2) = 0.
% 0.25/2.93 have(1,3,3) = 0.
% 0.25/2.93 have(2,0,0) = 0.
% 0.25/2.93 have(2,0,1) = 0.
% 0.25/2.93 have(2,0,2) = 0.
% 0.25/2.93 have(2,0,3) = 0.
% 0.25/2.93 have(2,1,0) = 0.
% 0.25/2.93 have(2,1,1) = 0.
% 0.25/2.93 have(2,1,2) = 0.
% 0.25/2.93 have(2,1,3) = 0.
% 0.25/2.93 have(2,2,0) = 0.
% 0.25/2.93 have(2,2,1) = 0.
% 0.25/2.93 have(2,2,2) = 0.
% 0.25/2.93 have(2,2,3) = 0.
% 0.25/2.93 have(2,3,0) = 0.
% 0.25/2.93 have(2,3,1) = 0.
% 0.25/2.93 have(2,3,2) = 0.
% 0.25/2.93 have(2,3,3) = 0.
% 0.25/2.93 have(3,0,0) = 0.
% 0.25/2.93 have(3,0,1) = 0.
% 0.25/2.93 have(3,0,2) = 0.
% 0.25/2.93 have(3,0,3) = 0.
% 0.25/2.93 have(3,1,0) = 0.
% 0.25/2.93 have(3,1,1) = 0.
% 0.25/2.93 have(3,1,2) = 0.
% 0.25/2.93 have(3,1,3) = 0.
% 0.25/2.93 have(3,2,0) = 0.
% 0.25/2.93 have(3,2,1) = 0.
% 0.25/2.93 have(3,2,2) = 0.
% 0.25/2.93 have(3,2,3) = 0.
% 0.25/2.93 have(3,3,0) = 0.
% 0.25/2.93 have(3,3,1) = 0.
% 0.25/2.93 have(3,3,2) = 0.
% 0.25/2.93 have(3,3,3) = 0.
% 0.25/2.93
% 0.25/2.93 % SZS output end FiniteModel
% 0.25/2.93 ------ process 46646 exit (max_models) ------
% 0.25/2.93
% 0.25/2.93 User_CPU=0.01, System_CPU=0.00, Wall_clock=0.
% 0.25/2.93
% 0.25/2.93 Exiting with 1 model.
% 0.25/2.93
% 0.25/2.93 Process 46646 exit (max_models) Tue Feb 7 20:09:05 2017
% 0.25/2.93 The process finished Tue Feb 7 20:09:05 2017
% 0.25/2.93 Mace4 ended
%------------------------------------------------------------------------------