%------------------------------------------------------------------------------
% File : Etableau---0.67
% Problem : SWV367+1 : TPTP v8.1.0. Released v3.3.0.
% Transfm : none
% Format : tptp:raw
% Command : etableau --auto --tsmdo --quicksat=10000 --tableau=1 --tableau-saturation=1 -s -p --tableau-cores=8 --cpu-limit=%d %s
% Computer : n014.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 : 600s
% DateTime : Wed Jul 20 18:20:44 EDT 2022
% Result : Theorem 0.12s 0.36s
% Output : CNFRefutation 0.12s
% Verified :
% SZS Type : Refutation
% Derivation depth : 4
% Number of leaves : 3
% Syntax : Number of formulae : 11 ( 8 unt; 0 def)
% Number of atoms : 14 ( 6 equ)
% Maximal formula atoms : 2 ( 1 avg)
% Number of connectives : 8 ( 5 ~; 0 |; 1 &)
% ( 0 <=>; 2 =>; 0 <=; 0 <~>)
% Maximal formula depth : 6 ( 3 avg)
% Maximal term depth : 4 ( 2 avg)
% Number of predicates : 3 ( 1 usr; 1 prp; 0-2 aty)
% Number of functors : 9 ( 9 usr; 5 con; 0-3 aty)
% Number of variables : 15 ( 3 sgn 12 !; 0 ?)
% Comments :
%------------------------------------------------------------------------------
fof(l3_co,conjecture,
! [X1,X2,X3] :
( contains_pq(i(triple(X1,create_slb,X2)),X3)
=> i(remove_cpq(triple(X1,create_slb,X2),X3)) = remove_pq(i(triple(X1,create_slb,X2)),X3) ),
file('/export/starexec/sandbox/benchmark/theBenchmark.p',l3_co) ).
fof(ax54,axiom,
! [X1,X2] : i(triple(X1,create_slb,X2)) = create_pq,
file('/export/starexec/sandbox/benchmark/Axioms/SWV007+4.ax',ax54) ).
fof(ax8,axiom,
! [X1] : ~ contains_pq(create_pq,X1),
file('/export/starexec/sandbox/benchmark/Axioms/SWV007+1.ax',ax8) ).
fof(c_0_3,negated_conjecture,
~ ! [X1,X2,X3] :
( contains_pq(i(triple(X1,create_slb,X2)),X3)
=> i(remove_cpq(triple(X1,create_slb,X2),X3)) = remove_pq(i(triple(X1,create_slb,X2)),X3) ),
inference(assume_negation,[status(cth)],[l3_co]) ).
fof(c_0_4,negated_conjecture,
( contains_pq(i(triple(esk5_0,create_slb,esk6_0)),esk7_0)
& i(remove_cpq(triple(esk5_0,create_slb,esk6_0),esk7_0)) != remove_pq(i(triple(esk5_0,create_slb,esk6_0)),esk7_0) ),
inference(skolemize,[status(esa)],[inference(variable_rename,[status(thm)],[inference(fof_nnf,[status(thm)],[c_0_3])])]) ).
fof(c_0_5,plain,
! [X147,X148] : i(triple(X147,create_slb,X148)) = create_pq,
inference(variable_rename,[status(thm)],[ax54]) ).
fof(c_0_6,plain,
! [X17] : ~ contains_pq(create_pq,X17),
inference(variable_rename,[status(thm)],[inference(fof_simplification,[status(thm)],[ax8])]) ).
cnf(c_0_7,negated_conjecture,
contains_pq(i(triple(esk5_0,create_slb,esk6_0)),esk7_0),
inference(split_conjunct,[status(thm)],[c_0_4]) ).
cnf(c_0_8,plain,
i(triple(X1,create_slb,X2)) = create_pq,
inference(split_conjunct,[status(thm)],[c_0_5]) ).
cnf(c_0_9,plain,
~ contains_pq(create_pq,X1),
inference(split_conjunct,[status(thm)],[c_0_6]) ).
cnf(c_0_10,negated_conjecture,
$false,
inference(sr,[status(thm)],[inference(rw,[status(thm)],[c_0_7,c_0_8]),c_0_9]),
[proof] ).
%------------------------------------------------------------------------------
%----ORIGINAL SYSTEM OUTPUT
% 0.11/0.11 % Problem : SWV367+1 : TPTP v8.1.0. Released v3.3.0.
% 0.11/0.12 % Command : etableau --auto --tsmdo --quicksat=10000 --tableau=1 --tableau-saturation=1 -s -p --tableau-cores=8 --cpu-limit=%d %s
% 0.12/0.33 % Computer : n014.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 : 600
% 0.12/0.33 % DateTime : Wed Jun 15 10:33:21 EDT 2022
% 0.12/0.33 % CPUTime :
% 0.12/0.36 # No SInE strategy applied
% 0.12/0.36 # Auto-Mode selected heuristic G_E___208_C18_F1_SE_CS_SP_PS_S5PRR_RG_S04BN
% 0.12/0.36 # and selection function PSelectComplexExceptUniqMaxHorn.
% 0.12/0.36 #
% 0.12/0.36 # Presaturation interreduction done
% 0.12/0.36
% 0.12/0.36 # Proof found!
% 0.12/0.36 # SZS status Theorem
% 0.12/0.36 # SZS output start CNFRefutation
% See solution above
% 0.12/0.36 # Training examples: 0 positive, 0 negative
%------------------------------------------------------------------------------