%------------------------------------------------------------------------------
% File : E---3.5.1
% Problem : CSR117+1 : TPTP v9.3.1. Released v4.1.0.
% Transfm : none
% Format : tptp:raw
% Command : run_E /export/starexec/sandbox/benchmark/theBenchmark.p 300 THM
% Computer : n008.cluster.edu
% Model : x86_64 x86_64
% CPU : Intel(R) Xeon(R) CPU E5-2620 v4 2.10GHz
% Memory : 8046.5625MB
% OS : Linux 6.8.0-71-generic
% CPULimit : 300s
% WCLimit : 300s
% DateTime : Thu Sep 24 12:17:28 PM UTC 2026
% Result : Theorem 0.09s 0.47s
% Output : CNFRefutation 0.09s
% Verified :
% SZS Type : Refutation
% Derivation depth : 10
% Number of leaves : 29
% Syntax : Number of formulae : 85 ( 40 unt; 0 def)
% Number of atoms : 233 ( 9 equ)
% Maximal formula atoms : 18 ( 2 avg)
% Number of connectives : 257 ( 109 ~; 100 |; 37 &)
% ( 0 <=>; 11 =>; 0 <=; 0 <~>)
% Maximal formula depth : 30 ( 4 avg)
% Maximal term depth : 2 ( 1 avg)
% Number of predicates : 20 ( 18 usr; 1 prp; 0-5 aty)
% Number of functors : 20 ( 20 usr; 18 con; 0-1 aty)
% Number of variables : 99 ( 5 sgn 31 !; 24 ?)
% Comments :
%------------------------------------------------------------------------------
fof(where,conjecture,
? [X2,X6,X7,X8,X9,X10,X11,X12,X13,X14,X15] :
( s__capability(s__Flooding__t,s__located__m,X2)
& to_int(X7) = to_int(X12)
& latlong(s__Moscow,X12,X13,X14,X15)
& latlong(X2,X7,X8,X9,X10)
& look_different(X2,s__Moscow)
& capital_city(X2,X6)
& is_instance(X6,s__OECDMemberEconomiesClass)
& s__SymbolicString(X15)
& s__SymbolicString(X14)
& real(X13)
& real(X12)
& int(X11)
& s__SymbolicString(X10)
& s__SymbolicString(X9)
& real(X8)
& real(X7)
& s__Object(X6)
& s__Object(X2) ),
file('/export/starexec/sandbox/benchmark/theBenchmark.p',where) ).
fof(kb_SUMO_MILO_Domains_9679,axiom,
! [X1] :
( s__Sea(X1)
=> s__BodyOfWater(X1) ),
file('/export/starexec/sandbox/benchmark/theBenchmark.p',kb_SUMO_MILO_Domains_9679) ).
fof(coastal_cities_near_water,axiom,
! [X2] :
( s__City(X2)
=> ( is_instance(X2,s__CoastalCitiesClass)
=> ? [X3] :
( s__orientation(X2,X3,s__Near)
& s__Sea(X3) ) ) ),
file('/export/starexec/sandbox/benchmark/theBenchmark.p',coastal_cities_near_water) ).
fof(kb_SUMO_MILO_Domains_9582,axiom,
! [X1] :
( s__BodyOfWater(X1)
=> s__WaterArea(X1) ),
file('/export/starexec/sandbox/benchmark/theBenchmark.p',kb_SUMO_MILO_Domains_9582) ).
fof(kb_SUMO_MILO_6365,axiom,
! [X1] :
( s__GeographicArea(X1)
=> s__Region(X1) ),
file('/export/starexec/sandbox/benchmark/theBenchmark.p',kb_SUMO_MILO_6365) ).
fof(kb_SUMO_MILO_6345,axiom,
! [X1] :
( s__GeopoliticalArea(X1)
=> s__GeographicArea(X1) ),
file('/export/starexec/sandbox/benchmark/theBenchmark.p',kb_SUMO_MILO_6345) ).
fof(latlong_s__Moscow,axiom,
latlong(s__Moscow,'55.75695','37.614975',moscow,ru),
file('/export/starexec/sandbox/benchmark/theBenchmark.p',latlong_s__Moscow) ).
fof('55.75695_55',axiom,
to_int('55.75695') = '55',
file('/export/starexec/sandbox/benchmark/theBenchmark.p','55.75695_55') ).
fof(moscow_long_type,axiom,
real('37.614975'),
file('/export/starexec/sandbox/benchmark/theBenchmark.p',moscow_long_type) ).
fof(moscow_lat_type,axiom,
real('55.75695'),
file('/export/starexec/sandbox/benchmark/theBenchmark.p',moscow_lat_type) ).
fof(ru_type,axiom,
s__SymbolicString(ru),
file('/export/starexec/sandbox/benchmark/theBenchmark.p',ru_type) ).
fof(moscow_type,axiom,
s__SymbolicString(moscow),
file('/export/starexec/sandbox/benchmark/theBenchmark.p',moscow_type) ).
fof(flood_near_water,axiom,
! [X4,X5] :
( ( s__City(X5)
& s__WaterArea(X4) )
=> ( s__orientation(X5,X4,s__Near)
=> s__capability(s__Flooding__t,s__located__m,X5) ) ),
file('/export/starexec/sandbox/benchmark/theBenchmark.p',flood_near_water) ).
fof(kb_SUMO_MILO_701,axiom,
! [X1] :
( s__Region(X1)
=> s__Object(X1) ),
file('/export/starexec/sandbox/benchmark/theBenchmark.p',kb_SUMO_MILO_701) ).
fof(latlong_s__Copenhagen,axiom,
latlong(s__Copenhagen,'55.67631','12.569355',copenhagen,dk),
file('/export/starexec/sandbox/benchmark/theBenchmark.p',latlong_s__Copenhagen) ).
fof('55.67631_55',axiom,
to_int('55.67631') = '55',
file('/export/starexec/sandbox/benchmark/theBenchmark.p','55.67631_55') ).
fof(s__Copenhagen_not_s__Moscow,axiom,
look_different(s__Copenhagen,s__Moscow),
file('/export/starexec/sandbox/benchmark/theBenchmark.p',s__Copenhagen_not_s__Moscow) ).
fof(copenhagen_long_type,axiom,
real('12.569355'),
file('/export/starexec/sandbox/benchmark/theBenchmark.p',copenhagen_long_type) ).
fof(copenhagen_lat_type,axiom,
real('55.67631'),
file('/export/starexec/sandbox/benchmark/theBenchmark.p',copenhagen_lat_type) ).
fof(dk_type,axiom,
s__SymbolicString(dk),
file('/export/starexec/sandbox/benchmark/theBenchmark.p',dk_type) ).
fof(copenhagen_type,axiom,
s__SymbolicString(copenhagen),
file('/export/starexec/sandbox/benchmark/theBenchmark.p',copenhagen_type) ).
fof(kb_SUMO_MILO_6437,axiom,
! [X1] :
( s__City(X1)
=> s__GeopoliticalArea(X1) ),
file('/export/starexec/sandbox/benchmark/theBenchmark.p',kb_SUMO_MILO_6437) ).
fof(copenhagen_coastal,axiom,
is_instance(s__Copenhagen,s__CoastalCitiesClass),
file('/export/starexec/sandbox/benchmark/theBenchmark.p',copenhagen_coastal) ).
fof(s__Copenhagen_type,axiom,
s__City(s__Copenhagen),
file('/export/starexec/sandbox/benchmark/theBenchmark.p',s__Copenhagen_type) ).
fof(int_type,axiom,
? [X1] : int(X1),
file('/export/starexec/sandbox/benchmark/theBenchmark.p',int_type) ).
fof(kb_SUMO_MILO_6428,axiom,
! [X1] :
( s__Nation(X1)
=> s__GeopoliticalArea(X1) ),
file('/export/starexec/sandbox/benchmark/theBenchmark.p',kb_SUMO_MILO_6428) ).
fof(s__Copenhagen_s__Denmark,axiom,
capital_city(s__Copenhagen,s__Denmark),
file('/export/starexec/sandbox/benchmark/theBenchmark.p',s__Copenhagen_s__Denmark) ).
fof(s__Denmark_OECD,axiom,
is_instance(s__Denmark,s__OECDMemberEconomiesClass),
file('/export/starexec/sandbox/benchmark/theBenchmark.p',s__Denmark_OECD) ).
fof(s__Denmark_type,axiom,
s__Nation(s__Denmark),
file('/export/starexec/sandbox/benchmark/theBenchmark.p',s__Denmark_type) ).
fof(c_0_29,negated_conjecture,
~ ? [X2,X6,X7,X8,X9,X10,X11,X12,X13,X14,X15] :
( s__capability(s__Flooding__t,s__located__m,X2)
& to_int(X7) = to_int(X12)
& latlong(s__Moscow,X12,X13,X14,X15)
& latlong(X2,X7,X8,X9,X10)
& look_different(X2,s__Moscow)
& capital_city(X2,X6)
& is_instance(X6,s__OECDMemberEconomiesClass)
& s__SymbolicString(X15)
& s__SymbolicString(X14)
& real(X13)
& real(X12)
& int(X11)
& s__SymbolicString(X10)
& s__SymbolicString(X9)
& real(X8)
& real(X7)
& s__Object(X6)
& s__Object(X2) ),
inference(assume_negation,[status(cth)],[where]) ).
fof(c_0_30,plain,
! [X37] :
( s__BodyOfWater(X37)
| ~ s__Sea(X37) ),
inference(fof_nnf,[status(thm)],[inference(variable_rename,[status(thm)],[inference(fof_nnf,[status(thm)],[kb_SUMO_MILO_Domains_9679])])]) ).
fof(c_0_31,plain,
! [X39] :
( ( ~ s__City(X39)
| ~ is_instance(X39,s__CoastalCitiesClass)
| s__orientation(X39,esk15_1(X39),s__Near) )
& ( ~ s__City(X39)
| ~ is_instance(X39,s__CoastalCitiesClass)
| s__Sea(esk15_1(X39)) ) ),
inference(distribute,[status(thm)],[inference(fof_nnf,[status(thm)],[inference(skolemize,[status(esa)],[inference(variable_rename,[status(thm)],[inference(fof_nnf,[status(thm)],[coastal_cities_near_water])])])])]) ).
fof(c_0_32,negated_conjecture,
! [X43,X44,X45,X46,X47,X48,X49,X50,X51,X52,X53] :
( ~ s__capability(s__Flooding__t,s__located__m,X43)
| to_int(X45) != to_int(X50)
| ~ latlong(s__Moscow,X50,X51,X52,X53)
| ~ latlong(X43,X45,X46,X47,X48)
| ~ look_different(X43,s__Moscow)
| ~ capital_city(X43,X44)
| ~ is_instance(X44,s__OECDMemberEconomiesClass)
| ~ s__SymbolicString(X53)
| ~ s__SymbolicString(X52)
| ~ real(X51)
| ~ real(X50)
| ~ int(X49)
| ~ s__SymbolicString(X48)
| ~ s__SymbolicString(X47)
| ~ real(X46)
| ~ real(X45)
| ~ s__Object(X44)
| ~ s__Object(X43) ),
inference(fof_nnf,[status(thm)],[inference(variable_rename,[status(thm)],[inference(fof_nnf,[status(thm)],[c_0_29])])]) ).
fof(c_0_33,plain,
! [X36] :
( s__WaterArea(X36)
| ~ s__BodyOfWater(X36) ),
inference(fof_nnf,[status(thm)],[inference(variable_rename,[status(thm)],[inference(fof_nnf,[status(thm)],[kb_SUMO_MILO_Domains_9582])])]) ).
cnf(c_0_34,plain,
( ~ s__Sea(X1)
| s__BodyOfWater(X1) ),
inference(split_conjunct,[status(thm)],[c_0_30]) ).
cnf(c_0_35,plain,
( ~ s__City(X1)
| ~ is_instance(X1,s__CoastalCitiesClass)
| s__Sea(esk15_1(X1)) ),
inference(split_conjunct,[status(thm)],[c_0_31]) ).
fof(c_0_36,plain,
! [X31] :
( s__Region(X31)
| ~ s__GeographicArea(X31) ),
inference(fof_nnf,[status(thm)],[inference(variable_rename,[status(thm)],[inference(fof_nnf,[status(thm)],[kb_SUMO_MILO_6365])])]) ).
fof(c_0_37,plain,
! [X32] :
( s__GeographicArea(X32)
| ~ s__GeopoliticalArea(X32) ),
inference(fof_nnf,[status(thm)],[inference(variable_rename,[status(thm)],[inference(fof_nnf,[status(thm)],[kb_SUMO_MILO_6345])])]) ).
cnf(c_0_38,negated_conjecture,
( ~ s__capability(s__Flooding__t,s__located__m,X1)
| to_int(X3) != to_int(X8)
| ~ latlong(s__Moscow,X8,X9,X10,X11)
| ~ latlong(X1,X3,X4,X5,X6)
| ~ look_different(X1,s__Moscow)
| ~ capital_city(X1,X2)
| ~ is_instance(X2,s__OECDMemberEconomiesClass)
| ~ s__SymbolicString(X11)
| ~ s__SymbolicString(X10)
| ~ real(X9)
| ~ real(X8)
| ~ int(X7)
| ~ s__SymbolicString(X6)
| ~ s__SymbolicString(X5)
| ~ real(X4)
| ~ real(X3)
| ~ s__Object(X2)
| ~ s__Object(X1) ),
inference(split_conjunct,[status(thm)],[c_0_32]) ).
cnf(c_0_39,plain,
latlong(s__Moscow,'55.75695','37.614975',moscow,ru),
inference(split_conjunct,[status(thm)],[latlong_s__Moscow]) ).
cnf(c_0_40,plain,
to_int('55.75695') = '55',
inference(split_conjunct,[status(thm)],['55.75695_55']) ).
cnf(c_0_41,plain,
real('37.614975'),
inference(split_conjunct,[status(thm)],[moscow_long_type]) ).
cnf(c_0_42,plain,
real('55.75695'),
inference(split_conjunct,[status(thm)],[moscow_lat_type]) ).
cnf(c_0_43,plain,
s__SymbolicString(ru),
inference(split_conjunct,[status(thm)],[ru_type]) ).
cnf(c_0_44,plain,
s__SymbolicString(moscow),
inference(split_conjunct,[status(thm)],[moscow_type]) ).
fof(c_0_45,plain,
! [X41,X42] :
( s__capability(s__Flooding__t,s__located__m,X42)
| ~ s__orientation(X42,X41,s__Near)
| ~ s__City(X42)
| ~ s__WaterArea(X41) ),
inference(fof_nnf,[status(thm)],[inference(variable_rename,[status(thm)],[inference(fof_nnf,[status(thm)],[flood_near_water])])]) ).
cnf(c_0_46,plain,
( ~ s__BodyOfWater(X1)
| s__WaterArea(X1) ),
inference(split_conjunct,[status(thm)],[c_0_33]) ).
cnf(c_0_47,plain,
( ~ s__City(X1)
| ~ is_instance(X1,s__CoastalCitiesClass)
| s__BodyOfWater(esk15_1(X1)) ),
inference(spm,[status(thm)],[c_0_34,c_0_35]) ).
fof(c_0_48,plain,
! [X30] :
( s__Object(X30)
| ~ s__Region(X30) ),
inference(fof_nnf,[status(thm)],[inference(variable_rename,[status(thm)],[inference(fof_nnf,[status(thm)],[kb_SUMO_MILO_701])])]) ).
cnf(c_0_49,plain,
( ~ s__GeographicArea(X1)
| s__Region(X1) ),
inference(split_conjunct,[status(thm)],[c_0_36]) ).
cnf(c_0_50,plain,
( ~ s__GeopoliticalArea(X1)
| s__GeographicArea(X1) ),
inference(split_conjunct,[status(thm)],[c_0_37]) ).
cnf(c_0_51,negated_conjecture,
( ~ s__Object(X2)
| ~ s__Object(X6)
| ~ s__SymbolicString(X4)
| ~ s__SymbolicString(X5)
| ~ is_instance(X6,s__OECDMemberEconomiesClass)
| ~ s__capability(s__Flooding__t,s__located__m,X2)
| ~ real(X1)
| ~ real(X3)
| ~ int(X7)
| ~ capital_city(X2,X6)
| ~ look_different(X2,s__Moscow)
| ~ latlong(X2,X1,X3,X4,X5)
| to_int(X1) != '55' ),
inference(cn,[status(thm)],[inference(rw,[status(thm)],[inference(rw,[status(thm)],[inference(rw,[status(thm)],[inference(rw,[status(thm)],[inference(rw,[status(thm)],[inference(spm,[status(thm)],[c_0_38,c_0_39]),c_0_40]),c_0_41]),c_0_42]),c_0_43]),c_0_44])]) ).
cnf(c_0_52,plain,
latlong(s__Copenhagen,'55.67631','12.569355',copenhagen,dk),
inference(split_conjunct,[status(thm)],[latlong_s__Copenhagen]) ).
cnf(c_0_53,plain,
to_int('55.67631') = '55',
inference(split_conjunct,[status(thm)],['55.67631_55']) ).
cnf(c_0_54,plain,
look_different(s__Copenhagen,s__Moscow),
inference(split_conjunct,[status(thm)],[s__Copenhagen_not_s__Moscow]) ).
cnf(c_0_55,plain,
real('12.569355'),
inference(split_conjunct,[status(thm)],[copenhagen_long_type]) ).
cnf(c_0_56,plain,
real('55.67631'),
inference(split_conjunct,[status(thm)],[copenhagen_lat_type]) ).
cnf(c_0_57,plain,
s__SymbolicString(dk),
inference(split_conjunct,[status(thm)],[dk_type]) ).
cnf(c_0_58,plain,
s__SymbolicString(copenhagen),
inference(split_conjunct,[status(thm)],[copenhagen_type]) ).
cnf(c_0_59,plain,
( ~ s__orientation(X2,X1,s__Near)
| ~ s__City(X2)
| ~ s__WaterArea(X1)
| s__capability(s__Flooding__t,s__located__m,X2) ),
inference(split_conjunct,[status(thm)],[c_0_45]) ).
cnf(c_0_60,plain,
( ~ s__City(X1)
| ~ is_instance(X1,s__CoastalCitiesClass)
| s__orientation(X1,esk15_1(X1),s__Near) ),
inference(split_conjunct,[status(thm)],[c_0_31]) ).
cnf(c_0_61,plain,
( ~ s__City(X1)
| ~ is_instance(X1,s__CoastalCitiesClass)
| s__WaterArea(esk15_1(X1)) ),
inference(spm,[status(thm)],[c_0_46,c_0_47]) ).
cnf(c_0_62,plain,
( ~ s__Region(X1)
| s__Object(X1) ),
inference(split_conjunct,[status(thm)],[c_0_48]) ).
cnf(c_0_63,plain,
( ~ s__GeopoliticalArea(X1)
| s__Region(X1) ),
inference(spm,[status(thm)],[c_0_49,c_0_50]) ).
fof(c_0_64,plain,
! [X34] :
( s__GeopoliticalArea(X34)
| ~ s__City(X34) ),
inference(fof_nnf,[status(thm)],[inference(variable_rename,[status(thm)],[inference(fof_nnf,[status(thm)],[kb_SUMO_MILO_6437])])]) ).
cnf(c_0_65,negated_conjecture,
( ~ s__Object(X1)
| ~ s__Object(s__Copenhagen)
| ~ is_instance(X1,s__OECDMemberEconomiesClass)
| ~ s__capability(s__Flooding__t,s__located__m,s__Copenhagen)
| ~ int(X2)
| ~ capital_city(s__Copenhagen,X1) ),
inference(cn,[status(thm)],[inference(rw,[status(thm)],[inference(rw,[status(thm)],[inference(rw,[status(thm)],[inference(rw,[status(thm)],[inference(rw,[status(thm)],[inference(rw,[status(thm)],[inference(spm,[status(thm)],[c_0_51,c_0_52]),c_0_53]),c_0_54]),c_0_55]),c_0_56]),c_0_57]),c_0_58])]) ).
cnf(c_0_66,plain,
( ~ s__City(X1)
| ~ is_instance(X1,s__CoastalCitiesClass)
| s__capability(s__Flooding__t,s__located__m,X1) ),
inference(csr,[status(thm)],[inference(spm,[status(thm)],[c_0_59,c_0_60]),c_0_61]) ).
cnf(c_0_67,plain,
is_instance(s__Copenhagen,s__CoastalCitiesClass),
inference(split_conjunct,[status(thm)],[copenhagen_coastal]) ).
cnf(c_0_68,plain,
s__City(s__Copenhagen),
inference(split_conjunct,[status(thm)],[s__Copenhagen_type]) ).
cnf(c_0_69,plain,
( ~ s__GeopoliticalArea(X1)
| s__Object(X1) ),
inference(spm,[status(thm)],[c_0_62,c_0_63]) ).
cnf(c_0_70,plain,
( ~ s__City(X1)
| s__GeopoliticalArea(X1) ),
inference(split_conjunct,[status(thm)],[c_0_64]) ).
cnf(c_0_71,negated_conjecture,
( ~ s__Object(X1)
| ~ s__Object(s__Copenhagen)
| ~ is_instance(X1,s__OECDMemberEconomiesClass)
| ~ int(X2)
| ~ capital_city(s__Copenhagen,X1) ),
inference(cn,[status(thm)],[inference(rw,[status(thm)],[inference(rw,[status(thm)],[inference(spm,[status(thm)],[c_0_65,c_0_66]),c_0_67]),c_0_68])]) ).
cnf(c_0_72,plain,
( ~ s__City(X1)
| s__Object(X1) ),
inference(spm,[status(thm)],[c_0_69,c_0_70]) ).
fof(c_0_73,plain,
int(esk17_0),
inference(skolemize,[status(esa)],[inference(variable_rename,[status(thm)],[int_type])]) ).
fof(c_0_74,plain,
! [X33] :
( s__GeopoliticalArea(X33)
| ~ s__Nation(X33) ),
inference(fof_nnf,[status(thm)],[inference(variable_rename,[status(thm)],[inference(fof_nnf,[status(thm)],[kb_SUMO_MILO_6428])])]) ).
cnf(c_0_75,negated_conjecture,
( ~ s__Object(X1)
| ~ is_instance(X1,s__OECDMemberEconomiesClass)
| ~ int(X2)
| ~ capital_city(s__Copenhagen,X1) ),
inference(cn,[status(thm)],[inference(rw,[status(thm)],[inference(spm,[status(thm)],[c_0_71,c_0_72]),c_0_68])]) ).
cnf(c_0_76,plain,
int(esk17_0),
inference(split_conjunct,[status(thm)],[c_0_73]) ).
cnf(c_0_77,plain,
( ~ s__Nation(X1)
| s__GeopoliticalArea(X1) ),
inference(split_conjunct,[status(thm)],[c_0_74]) ).
cnf(c_0_78,negated_conjecture,
( ~ s__Object(X1)
| ~ is_instance(X1,s__OECDMemberEconomiesClass)
| ~ capital_city(s__Copenhagen,X1) ),
inference(spm,[status(thm)],[c_0_75,c_0_76]) ).
cnf(c_0_79,plain,
( ~ s__Nation(X1)
| s__Object(X1) ),
inference(spm,[status(thm)],[c_0_69,c_0_77]) ).
cnf(c_0_80,negated_conjecture,
( ~ s__Nation(X1)
| ~ is_instance(X1,s__OECDMemberEconomiesClass)
| ~ capital_city(s__Copenhagen,X1) ),
inference(spm,[status(thm)],[c_0_78,c_0_79]) ).
cnf(c_0_81,plain,
capital_city(s__Copenhagen,s__Denmark),
inference(split_conjunct,[status(thm)],[s__Copenhagen_s__Denmark]) ).
cnf(c_0_82,plain,
is_instance(s__Denmark,s__OECDMemberEconomiesClass),
inference(split_conjunct,[status(thm)],[s__Denmark_OECD]) ).
cnf(c_0_83,plain,
s__Nation(s__Denmark),
inference(split_conjunct,[status(thm)],[s__Denmark_type]) ).
cnf(c_0_84,negated_conjecture,
$false,
inference(cn,[status(thm)],[inference(rw,[status(thm)],[inference(rw,[status(thm)],[inference(spm,[status(thm)],[c_0_80,c_0_81]),c_0_82]),c_0_83])]),
[proof] ).
%------------------------------------------------------------------------------
%----ORIGINAL SYSTEM OUTPUT
% 0.00/0.02 % Problem : CSR117+1 : TPTP v9.3.1. Released v4.1.0.
% 0.00/0.04 % Command : run_E /export/starexec/sandbox/benchmark/theBenchmark.p 300 THM
% 0.09/0.36 % Computer : n008.cluster.edu
% 0.09/0.36 % Model : x86_64 x86_64
% 0.09/0.36 % CPU : Intel(R) Xeon(R) CPU E5-2620 v4 @ 2.10GHz
% 0.09/0.36 % Memory : 8046.5625MB
% 0.09/0.36 % OS : Linux 6.8.0-71-generic
% 0.09/0.36 % CPULimit : 300
% 0.09/0.36 % WCLimit : 300
% 0.09/0.36 % DateTime : Mon Sep 21 15:11:38 UTC 2026
% 0.09/0.36 % CPUTime :
% 0.09/0.36 Running run_E /export/starexec/sandbox/benchmark/theBenchmark.p 300 THM
% 0.09/0.41 Running first-order theorem proving
% 0.09/0.41 Running: /export/starexec/sandbox/solver/bin/eprover --delete-bad-limit=2000000000 --definitional-cnf=24 -s --print-statistics -R --print-version --proof-object --auto-schedule=8 --cpu-limit=300 /export/starexec/sandbox/benchmark/theBenchmark.p
% 0.09/0.47 % Version: 3.5.1
% 0.09/0.47 % Preprocessing class: FSLMSMSLSSSNFFN.
% 0.09/0.47 % Scheduled 4 strats onto 8 cores with 300 seconds (2400 total)
% 0.09/0.47 % Starting G-E--_008_C45_F1_PI_SE_Q4_CS_SP_S4SI with 900s (3) cores
% 0.09/0.47 % Starting new_bool_3 with 600s (2) cores
% 0.09/0.47 % Starting new_bool_1 with 600s (2) cores
% 0.09/0.47 % Starting sh5l with 300s (1) cores
% 0.09/0.47 % G-E--_008_C45_F1_PI_SE_Q4_CS_SP_S4SI with pid 1274115 completed with status 0
% 0.09/0.47 % Result found by G-E--_008_C45_F1_PI_SE_Q4_CS_SP_S4SI
% 0.09/0.47 % Preprocessing class: FSLMSMSLSSSNFFN.
% 0.09/0.47 % Scheduled 4 strats onto 8 cores with 300 seconds (2400 total)
% 0.09/0.47 % Starting G-E--_008_C45_F1_PI_SE_Q4_CS_SP_S4SI with 900s (3) cores
% 0.09/0.47 % (lift_lambdas = 1, lambda_to_forall = 1,unroll_only_formulas = 1, sine = Auto)
% 0.09/0.47 % No SInE strategy applied
% 0.09/0.47 % Search class: FHHSF-FFMM11-SFFFFFNN
% 0.09/0.47 % Scheduled 7 strats onto 3 cores with 900 seconds (900 total)
% 0.09/0.47 % Starting SubtermCWHack with 82s (1) cores
% 0.09/0.47 % Starting G-E--_008_C45_F1_PI_SE_Q4_CS_SP_S4SI with 91s (1) cores
% 0.09/0.47 % Starting G-E--_208_C18_F1_SE_CS_SP_PS_S5PRR_S0Y with 82s (1) cores
% 0.09/0.47 % G-E--_208_C18_F1_SE_CS_SP_PS_S5PRR_S0Y with pid 1274125 completed with status 0
% 0.09/0.47 % Result found by G-E--_208_C18_F1_SE_CS_SP_PS_S5PRR_S0Y
% 0.09/0.47 % Preprocessing class: FSLMSMSLSSSNFFN.
% 0.09/0.47 % Scheduled 4 strats onto 8 cores with 300 seconds (2400 total)
% 0.09/0.47 % Starting G-E--_008_C45_F1_PI_SE_Q4_CS_SP_S4SI with 900s (3) cores
% 0.09/0.47 % (lift_lambdas = 1, lambda_to_forall = 1,unroll_only_formulas = 1, sine = Auto)
% 0.09/0.47 % No SInE strategy applied
% 0.09/0.47 % Search class: FHHSF-FFMM11-SFFFFFNN
% 0.09/0.47 % Scheduled 7 strats onto 3 cores with 900 seconds (900 total)
% 0.09/0.47 % Starting SubtermCWHack with 82s (1) cores
% 0.09/0.47 % Starting G-E--_008_C45_F1_PI_SE_Q4_CS_SP_S4SI with 91s (1) cores
% 0.09/0.47 % Starting G-E--_208_C18_F1_SE_CS_SP_PS_S5PRR_S0Y with 82s (1) cores
% 0.09/0.47 % Preprocessing time : 0.003 s
% 0.09/0.47 % Presaturation interreduction done
% 0.09/0.47
% 0.09/0.47 % Proof found!
% 0.09/0.47 % SZS status Theorem
% 0.09/0.47 % SZS output start CNFRefutation
% See solution above
% 0.09/0.47 % Parsed axioms : 269
% 0.09/0.47 % Removed by relevancy pruning/SinE : 0
% 0.09/0.47 % Initial clauses : 270
% 0.09/0.47 % Removed in clause preprocessing : 0
% 0.09/0.47 % Initial clauses in saturation : 270
% 0.09/0.47 % Processed clauses : 944
% 0.09/0.47 % ...of these trivial : 0
% 0.09/0.47 % ...subsumed : 64
% 0.09/0.47 % ...remaining for further processing : 880
% 0.09/0.47 % Other redundant clauses eliminated : 0
% 0.09/0.47 % Clauses deleted for lack of memory : 0
% 0.09/0.47 % Backward-subsumed : 5
% 0.09/0.47 % Backward-rewritten : 0
% 0.09/0.47 % Generated clauses : 462
% 0.09/0.47 % ...of the previous two non-redundant : 445
% 0.09/0.47 % ...aggressively subsumed : 0
% 0.09/0.47 % Contextual simplify-reflections : 1
% 0.09/0.47 % Paramodulations : 462
% 0.09/0.47 % Factorizations : 0
% 0.09/0.47 % NegExts : 0
% 0.09/0.47 % Equation resolutions : 0
% 0.09/0.47 % Disequality decompositions : 0
% 0.09/0.47 % Total rewrite steps : 206
% 0.09/0.47 % ...of those cached : 93
% 0.09/0.47 % Propositional unsat checks : 0
% 0.09/0.47 % Propositional check models : 0
% 0.09/0.47 % Propositional check unsatisfiable : 0
% 0.09/0.47 % Propositional clauses : 0
% 0.09/0.47 % Propositional clauses after purity: 0
% 0.09/0.47 % Propositional unsat core size : 0
% 0.09/0.47 % Propositional preprocessing time : 0.000
% 0.09/0.47 % Propositional encoding time : 0.000
% 0.09/0.47 % Propositional solver time : 0.000
% 0.09/0.47 % Success case prop preproc time : 0.000
% 0.09/0.47 % Success case prop encoding time : 0.000
% 0.09/0.47 % Success case prop solver time : 0.000
% 0.09/0.47 % Current number of processed clauses : 605
% 0.09/0.47 % Positive orientable unit clauses : 236
% 0.09/0.47 % Positive unorientable unit clauses: 0
% 0.09/0.47 % Negative unit clauses : 273
% 0.09/0.47 % Non-unit-clauses : 96
% 0.09/0.47 % Current number of unprocessed clauses: 20
% 0.09/0.47 % ...number of literals in the above : 127
% 0.09/0.47 % Current number of archived formulas : 0
% 0.09/0.47 % Current number of archived clauses : 275
% 0.09/0.47 % Clause-clause subsumption calls (NU) : 9592
% 0.09/0.47 % Rec. Clause-clause subsumption calls : 2949
% 0.09/0.47 % Non-unit clause-clause subsumptions : 6
% 0.09/0.47 % Unit Clause-clause subsumption calls : 20126
% 0.09/0.47 % Rewrite failures with RHS unbound : 0
% 0.09/0.47 % BW rewrite match attempts : 0
% 0.09/0.47 % BW rewrite match successes : 0
% 0.09/0.47 % Condensation attempts : 0
% 0.09/0.47 % Condensation successes : 0
% 0.09/0.47 % Termbank termtop insertions : 11589
% 0.09/0.47 % Search garbage collected termcells : 648
% 0.09/0.47
% 0.09/0.47 % -------------------------------------------------
% 0.09/0.47 % User time : 0.041 s
% 0.09/0.47 % System time : 0.004 s
% 0.09/0.47 % Total time : 0.045 s
% 0.09/0.47 % Maximum resident set size: 4064 pages
% 0.09/0.47
% 0.09/0.47 % -------------------------------------------------
% 0.09/0.47 % User time : 0.103 s
% 0.09/0.47 % System time : 0.016 s
% 0.09/0.47 % Total time : 0.119 s
% 0.09/0.47 % Maximum resident set size: 4864 pages
% 0.09/0.47 % E exiting
%------------------------------------------------------------------------------