TSTP Solution File: SWV543-1.010 by GKC---0.8
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- Process Solution
%------------------------------------------------------------------------------
% File : GKC---0.8
% Problem : SWV543-1.010 : TPTP v8.1.2. Released v4.0.0.
% Transfm : none
% Format : tptp:raw
% Command : gkc %s
% Computer : n026.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 : Thu Aug 31 22:28:20 EDT 2023
% Result : Unsatisfiable 0.20s 0.69s
% Output : CNFRefutation 0.20s
% Verified :
% SZS Type : ERROR: Analysing output (Could not find formula named hyp20)
% Comments :
%------------------------------------------------------------------------------
cnf('1',plain,
a_1283 = store(a1,i7,e_1246),
inference(cnf_transformation,[],[hyp20]) ).
cnf('2',plain,
e_1246 = select(a1,i8),
inference(cnf_transformation,[],[hyp41]) ).
cnf('3',plain,
store(store(X,Y,select(X,Z)),Z,select(X,Y)) = store(store(X,Z,select(X,Y)),Y,select(X,Z)),
inference(cnf_transformation,[],[a3]) ).
cnf('4',plain,
store(store(a1,i8,select(a1,X3)),X3,e_1246) = store(store(a1,X3,select(a1,i8)),i8,select(a1,X3)),
inference(paramodulation,[],['2','3']) ).
cnf('5',plain,
store(store(a1,i8,select(a1,X)),X,e_1246) = store(store(a1,X,e_1246),i8,select(a1,X)),
inference(simplify,[],['4','2']) ).
cnf('6',plain,
store(store(a1,i8,select(a1,i7)),i7,e_1246) = store(a_1283,i8,select(a1,i7)),
inference(paramodulation,[],['1','5']) ).
cnf('7',plain,
e_1244 = select(a1,i7),
inference(cnf_transformation,[],[hyp40]) ).
cnf('8',plain,
a_1284 = store(a_1283,i8,e_1244),
inference(cnf_transformation,[],[hyp21]) ).
cnf('9',plain,
select(store(X,Y,Z),Y) = Z,
inference(cnf_transformation,[],[a1]) ).
cnf('10',plain,
select(a_1284,i8) = e_1244,
inference(paramodulation,[],['8','9']) ).
cnf('11',plain,
e_1285 = select(a_1284,i8),
inference(cnf_transformation,[],[hyp59]) ).
cnf('12',plain,
e_1285 = e_1244,
inference(simplify,[],['10','11']) ).
cnf('13',plain,
a_1245 = store(a1,i8,e_1244),
inference(cnf_transformation,[],[hyp0]) ).
cnf('14',plain,
a_1245 = store(a1,i8,e_1285),
inference(paramodulation,[],['12','13']) ).
cnf('15',plain,
a_1247 = store(a_1245,i7,e_1246),
inference(cnf_transformation,[],[hyp1]) ).
cnf('16',plain,
a_1284 = store(a_1283,i8,e_1285),
inference(paramodulation,[],['12','8']) ).
cnf('17',plain,
a_1247 = a_1284,
inference(simplify,[then_simplify],['6','7','12','14','15','7','12','16']) ).
cnf('18',plain,
e_1250 = select(a_1247,i6),
inference(cnf_transformation,[],[hyp43]) ).
cnf('19',plain,
e_1250 = select(a_1284,i6),
inference(paramodulation,[],['17','18']) ).
cnf('20',plain,
a_1251 = store(a_1249,i8,e_1250),
inference(cnf_transformation,[],[hyp3]) ).
cnf('21',plain,
select(a_1251,i8) = e_1250,
inference(paramodulation,[],['20','9']) ).
cnf('22',plain,
e_1254 = select(a_1251,i8),
inference(cnf_transformation,[],[hyp45]) ).
cnf('23',plain,
e_1254 = e_1250,
inference(simplify,[],['21','22']) ).
cnf('24',plain,
e_1287 = select(a_1284,i6),
inference(cnf_transformation,[],[hyp60]) ).
cnf('25',plain,
a_1288 = store(a_1286,i8,e_1287),
inference(cnf_transformation,[],[hyp23]) ).
cnf('26',plain,
select(a_1288,i8) = e_1287,
inference(paramodulation,[],['25','9']) ).
cnf('27',plain,
e_1289 = select(a_1288,i8),
inference(cnf_transformation,[],[hyp61]) ).
cnf('28',plain,
e_1289 = e_1287,
inference(simplify,[],['26','27']) ).
cnf('29',plain,
e_1254 = e_1289,
inference(simplify,[then_simplify],['19','23','24','28']) ).
cnf('30',plain,
a_1251 = store(a_1249,i8,e_1254),
inference(paramodulation,[],['23','20']) ).
cnf('31',plain,
a_1251 = store(a_1249,i8,e_1289),
inference(paramodulation,[],['29','30']) ).
cnf('32',plain,
a_1249 = store(a_1247,i6,e_1248),
inference(cnf_transformation,[],[hyp2]) ).
cnf('33',plain,
a_1249 = store(a_1284,i6,e_1248),
inference(paramodulation,[],['17','32']) ).
cnf('34',plain,
e_1248 = select(a_1247,i8),
inference(cnf_transformation,[],[hyp42]) ).
cnf('35',plain,
e_1248 = select(a_1284,i8),
inference(paramodulation,[],['17','34']) ).
cnf('36',plain,
e_1248 = e_1285,
inference(simplify,[],['35','11']) ).
cnf('37',plain,
a_1286 = store(a_1284,i6,e_1285),
inference(cnf_transformation,[],[hyp22]) ).
cnf('38',plain,
a_1249 = a_1286,
inference(simplify,[then_simplify],['33','36','37']) ).
cnf('39',plain,
a_1288 = store(a_1286,i8,e_1289),
inference(paramodulation,[],['28','25']) ).
cnf('40',plain,
a_1251 = a_1288,
inference(simplify,[then_simplify],['31','38','39']) ).
cnf('41',plain,
a_1253 = store(a_1251,i8,e_1252),
inference(cnf_transformation,[],[hyp4]) ).
cnf('42',plain,
a_1253 = store(a_1288,i8,e_1252),
inference(paramodulation,[],['40','41']) ).
cnf('43',plain,
e_1252 = select(a_1251,i5),
inference(cnf_transformation,[],[hyp44]) ).
cnf('44',plain,
e_1252 = select(a_1288,i5),
inference(paramodulation,[],['40','43']) ).
cnf('45',plain,
e_1291 = select(a_1288,i5),
inference(cnf_transformation,[],[hyp62]) ).
cnf('46',plain,
e_1252 = e_1291,
inference(simplify,[],['44','45']) ).
cnf('47',plain,
a_1253 = store(a_1288,i8,e_1291),
inference(simplify,[],['42','46']) ).
cnf('48',plain,
store(store(a_1288,i5,select(a_1288,X3)),X3,e_1291) = store(store(a_1288,X3,select(a_1288,i5)),i5,select(a_1288,X3)),
inference(paramodulation,[],['45','3']) ).
cnf('49',plain,
store(store(a_1288,i5,select(a_1288,X)),X,e_1291) = store(store(a_1288,X,e_1291),i5,select(a_1288,X)),
inference(simplify,[],['48','45']) ).
cnf('50',plain,
store(store(a_1288,i5,select(a_1288,i8)),i8,e_1291) = store(store(a_1288,i8,e_1291),i5,e_1289),
inference(paramodulation,[],['27','49']) ).
cnf('51',plain,
a_1290 = store(a_1288,i5,e_1289),
inference(cnf_transformation,[],[hyp24]) ).
cnf('52',plain,
a_1292 = store(a_1290,i8,e_1291),
inference(cnf_transformation,[],[hyp25]) ).
cnf('53',plain,
a_1292 = store(store(a_1288,i8,e_1291),i5,e_1289),
inference(simplify,[then_simplify],['50','27','51','52']) ).
cnf('54',plain,
a_1292 = store(a_1253,i5,e_1289),
inference(paramodulation,[],['47','53']) ).
cnf('55',plain,
a_1255 = store(a_1253,i5,e_1254),
inference(cnf_transformation,[],[hyp5]) ).
cnf('56',plain,
a_1255 = store(a_1253,i5,e_1289),
inference(paramodulation,[],['29','55']) ).
cnf('57',plain,
a_1292 = a_1255,
inference(simplify,[],['54','56']) ).
cnf('58',plain,
e_1258 = select(a_1255,i4),
inference(cnf_transformation,[],[hyp47]) ).
cnf('59',plain,
e_1258 = select(a_1292,i4),
inference(paramodulation,[],['57','58']) ).
cnf('60',plain,
e_1295 = select(a_1292,i4),
inference(cnf_transformation,[],[hyp64]) ).
cnf('61',plain,
e_1258 = e_1295,
inference(simplify,[],['59','60']) ).
cnf('62',plain,
a_1259 = store(a_1257,i9,e_1258),
inference(cnf_transformation,[],[hyp7]) ).
cnf('63',plain,
a_1259 = store(a_1257,i9,e_1295),
inference(paramodulation,[],['61','62']) ).
cnf('64',plain,
a_1257 = store(a_1255,i4,e_1256),
inference(cnf_transformation,[],[hyp6]) ).
cnf('65',plain,
a_1257 = store(a_1292,i4,e_1256),
inference(paramodulation,[],['57','64']) ).
cnf('66',plain,
e_1256 = select(a_1255,i9),
inference(cnf_transformation,[],[hyp46]) ).
cnf('67',plain,
e_1256 = select(a_1292,i9),
inference(paramodulation,[],['57','66']) ).
cnf('68',plain,
e_1293 = select(a_1292,i9),
inference(cnf_transformation,[],[hyp63]) ).
cnf('69',plain,
e_1256 = e_1293,
inference(simplify,[],['67','68']) ).
cnf('70',plain,
a_1294 = store(a_1292,i4,e_1293),
inference(cnf_transformation,[],[hyp26]) ).
cnf('71',plain,
a_1257 = a_1294,
inference(simplify,[then_simplify],['65','69','70']) ).
cnf('72',plain,
a_1296 = store(a_1294,i9,e_1295),
inference(cnf_transformation,[],[hyp27]) ).
cnf('73',plain,
a_1259 = a_1296,
inference(simplify,[then_simplify],['63','71','72']) ).
cnf('74',plain,
a_1261 = store(a_1259,i7,e_1260),
inference(cnf_transformation,[],[hyp8]) ).
cnf('75',plain,
a_1261 = store(a_1296,i7,e_1260),
inference(paramodulation,[],['73','74']) ).
cnf('76',plain,
e_1260 = select(a_1259,i1),
inference(cnf_transformation,[],[hyp48]) ).
cnf('77',plain,
e_1260 = select(a_1296,i1),
inference(paramodulation,[],['73','76']) ).
cnf('78',plain,
e_1299 = select(a_1296,i1),
inference(cnf_transformation,[],[hyp66]) ).
cnf('79',plain,
e_1260 = e_1299,
inference(simplify,[],['77','78']) ).
cnf('80',plain,
a_1261 = store(a_1296,i7,e_1299),
inference(simplify,[],['75','79']) ).
cnf('81',plain,
e_1297 = select(a_1296,i7),
inference(cnf_transformation,[],[hyp65]) ).
cnf('82',plain,
store(store(a_1296,i1,select(a_1296,X3)),X3,e_1299) = store(store(a_1296,X3,select(a_1296,i1)),i1,select(a_1296,X3)),
inference(paramodulation,[],['78','3']) ).
cnf('83',plain,
store(store(a_1296,i1,select(a_1296,X)),X,e_1299) = store(store(a_1296,X,e_1299),i1,select(a_1296,X)),
inference(simplify,[],['82','78']) ).
cnf('84',plain,
store(store(a_1296,i1,select(a_1296,i7)),i7,e_1299) = store(store(a_1296,i7,e_1299),i1,e_1297),
inference(paramodulation,[],['81','83']) ).
cnf('85',plain,
a_1298 = store(a_1296,i1,e_1297),
inference(cnf_transformation,[],[hyp28]) ).
cnf('86',plain,
a_1300 = store(a_1298,i7,e_1299),
inference(cnf_transformation,[],[hyp29]) ).
cnf('87',plain,
a_1300 = store(store(a_1296,i7,e_1299),i1,e_1297),
inference(simplify,[then_simplify],['84','81','85','86']) ).
cnf('88',plain,
a_1300 = store(a_1261,i1,e_1297),
inference(paramodulation,[],['80','87']) ).
cnf('89',plain,
e_1262 = select(a_1259,i7),
inference(cnf_transformation,[],[hyp49]) ).
cnf('90',plain,
e_1262 = select(a_1296,i7),
inference(paramodulation,[],['73','89']) ).
cnf('91',plain,
e_1262 = e_1297,
inference(simplify,[],['90','81']) ).
cnf('92',plain,
a_1263 = store(a_1261,i1,e_1262),
inference(cnf_transformation,[],[hyp9]) ).
cnf('93',plain,
a_1263 = store(a_1261,i1,e_1297),
inference(paramodulation,[],['91','92']) ).
cnf('94',plain,
a_1300 = a_1263,
inference(simplify,[],['88','93']) ).
cnf('95',plain,
e_1266 = select(a_1263,i4),
inference(cnf_transformation,[],[hyp51]) ).
cnf('96',plain,
e_1266 = select(a_1300,i4),
inference(paramodulation,[],['94','95']) ).
cnf('97',plain,
e_1303 = select(a_1300,i4),
inference(cnf_transformation,[],[hyp68]) ).
cnf('98',plain,
e_1266 = e_1303,
inference(simplify,[],['96','97']) ).
cnf('99',plain,
a_1267 = store(a_1265,i5,e_1266),
inference(cnf_transformation,[],[hyp11]) ).
cnf('100',plain,
a_1267 = store(a_1265,i5,e_1303),
inference(paramodulation,[],['98','99']) ).
cnf('101',plain,
a_1265 = store(a_1263,i4,e_1264),
inference(cnf_transformation,[],[hyp10]) ).
cnf('102',plain,
a_1265 = store(a_1300,i4,e_1264),
inference(paramodulation,[],['94','101']) ).
cnf('103',plain,
e_1264 = select(a_1263,i5),
inference(cnf_transformation,[],[hyp50]) ).
cnf('104',plain,
e_1264 = select(a_1300,i5),
inference(paramodulation,[],['94','103']) ).
cnf('105',plain,
e_1301 = select(a_1300,i5),
inference(cnf_transformation,[],[hyp67]) ).
cnf('106',plain,
e_1264 = e_1301,
inference(simplify,[],['104','105']) ).
cnf('107',plain,
a_1302 = store(a_1300,i4,e_1301),
inference(cnf_transformation,[],[hyp30]) ).
cnf('108',plain,
a_1265 = a_1302,
inference(simplify,[then_simplify],['102','106','107']) ).
cnf('109',plain,
a_1304 = store(a_1302,i5,e_1303),
inference(cnf_transformation,[],[hyp31]) ).
cnf('110',plain,
a_1267 = a_1304,
inference(simplify,[then_simplify],['100','108','109']) ).
cnf('111',plain,
e_1268 = select(a_1267,i0),
inference(cnf_transformation,[],[hyp52]) ).
cnf('112',plain,
e_1268 = select(a_1304,i0),
inference(paramodulation,[],['110','111']) ).
cnf('113',plain,
e_1305 = select(a_1304,i0),
inference(cnf_transformation,[],[hyp69]) ).
cnf('114',plain,
e_1268 = e_1305,
inference(simplify,[],['112','113']) ).
cnf('115',plain,
a_1270 = store(a_1269,i0,e_1268),
inference(cnf_transformation,[],[hyp13]) ).
cnf('116',plain,
a_1270 = store(a_1269,i0,e_1305),
inference(paramodulation,[],['114','115']) ).
cnf('117',plain,
a_1269 = store(a_1267,i0,e_1268),
inference(cnf_transformation,[],[hyp12]) ).
cnf('118',plain,
a_1269 = store(a_1304,i0,e_1268),
inference(paramodulation,[],['110','117']) ).
cnf('119',plain,
a_1306 = store(a_1304,i0,e_1305),
inference(cnf_transformation,[],[hyp32]) ).
cnf('120',plain,
a_1269 = a_1306,
inference(simplify,[then_simplify],['118','114','119']) ).
cnf('121',plain,
a_1307 = store(a_1306,i0,e_1305),
inference(cnf_transformation,[],[hyp33]) ).
cnf('122',plain,
a_1270 = a_1307,
inference(simplify,[then_simplify],['116','120','121']) ).
cnf('123',plain,
a_1272 = store(a_1270,i1,e_1271),
inference(cnf_transformation,[],[hyp14]) ).
cnf('124',plain,
a_1272 = store(a_1307,i1,e_1271),
inference(paramodulation,[],['122','123']) ).
cnf('125',plain,
e_1271 = select(a_1270,i2),
inference(cnf_transformation,[],[hyp53]) ).
cnf('126',plain,
e_1271 = select(a_1307,i2),
inference(paramodulation,[],['122','125']) ).
cnf('127',plain,
e_1310 = select(a_1307,i2),
inference(cnf_transformation,[],[hyp71]) ).
cnf('128',plain,
e_1271 = e_1310,
inference(simplify,[],['126','127']) ).
cnf('129',plain,
a_1272 = store(a_1307,i1,e_1310),
inference(simplify,[],['124','128']) ).
cnf('130',plain,
e_1308 = select(a_1307,i1),
inference(cnf_transformation,[],[hyp70]) ).
cnf('131',plain,
store(store(a_1307,i2,select(a_1307,X3)),X3,e_1310) = store(store(a_1307,X3,select(a_1307,i2)),i2,select(a_1307,X3)),
inference(paramodulation,[],['127','3']) ).
cnf('132',plain,
store(store(a_1307,i2,select(a_1307,X)),X,e_1310) = store(store(a_1307,X,e_1310),i2,select(a_1307,X)),
inference(simplify,[],['131','127']) ).
cnf('133',plain,
store(store(a_1307,i2,select(a_1307,i1)),i1,e_1310) = store(store(a_1307,i1,e_1310),i2,e_1308),
inference(paramodulation,[],['130','132']) ).
cnf('134',plain,
a_1309 = store(a_1307,i2,e_1308),
inference(cnf_transformation,[],[hyp34]) ).
cnf('135',plain,
a_1311 = store(a_1309,i1,e_1310),
inference(cnf_transformation,[],[hyp35]) ).
cnf('136',plain,
a_1311 = store(store(a_1307,i1,e_1310),i2,e_1308),
inference(simplify,[then_simplify],['133','130','134','135']) ).
cnf('137',plain,
a_1311 = store(a_1272,i2,e_1308),
inference(paramodulation,[],['129','136']) ).
cnf('138',plain,
e_1273 = select(a_1270,i1),
inference(cnf_transformation,[],[hyp54]) ).
cnf('139',plain,
e_1273 = select(a_1307,i1),
inference(paramodulation,[],['122','138']) ).
cnf('140',plain,
e_1273 = e_1308,
inference(simplify,[],['139','130']) ).
cnf('141',plain,
a_1274 = store(a_1272,i2,e_1273),
inference(cnf_transformation,[],[hyp15]) ).
cnf('142',plain,
a_1274 = store(a_1272,i2,e_1308),
inference(paramodulation,[],['140','141']) ).
cnf('143',plain,
a_1311 = a_1274,
inference(simplify,[],['137','142']) ).
cnf('144',plain,
e_1277 = select(a_1274,i3),
inference(cnf_transformation,[],[hyp56]) ).
cnf('145',plain,
e_1277 = select(a_1311,i3),
inference(paramodulation,[],['143','144']) ).
cnf('146',plain,
e_1314 = select(a_1311,i3),
inference(cnf_transformation,[],[hyp73]) ).
cnf('147',plain,
e_1277 = e_1314,
inference(simplify,[],['145','146']) ).
cnf('148',plain,
a_1278 = store(a_1276,i0,e_1277),
inference(cnf_transformation,[],[hyp17]) ).
cnf('149',plain,
a_1278 = store(a_1276,i0,e_1314),
inference(paramodulation,[],['147','148']) ).
cnf('150',plain,
a_1276 = store(a_1274,i3,e_1275),
inference(cnf_transformation,[],[hyp16]) ).
cnf('151',plain,
a_1276 = store(a_1311,i3,e_1275),
inference(paramodulation,[],['143','150']) ).
cnf('152',plain,
e_1275 = select(a_1274,i0),
inference(cnf_transformation,[],[hyp55]) ).
cnf('153',plain,
e_1275 = select(a_1311,i0),
inference(paramodulation,[],['143','152']) ).
cnf('154',plain,
e_1312 = select(a_1311,i0),
inference(cnf_transformation,[],[hyp72]) ).
cnf('155',plain,
e_1275 = e_1312,
inference(simplify,[],['153','154']) ).
cnf('156',plain,
a_1313 = store(a_1311,i3,e_1312),
inference(cnf_transformation,[],[hyp36]) ).
cnf('157',plain,
a_1276 = a_1313,
inference(simplify,[then_simplify],['151','155','156']) ).
cnf('158',plain,
a_1315 = store(a_1313,i0,e_1314),
inference(cnf_transformation,[],[hyp37]) ).
cnf('159',plain,
a_1278 = a_1315,
inference(simplify,[then_simplify],['149','157','158']) ).
cnf('160',plain,
a_1280 = store(a_1278,i9,e_1279),
inference(cnf_transformation,[],[hyp18]) ).
cnf('161',plain,
a_1280 = store(a_1315,i9,e_1279),
inference(paramodulation,[],['159','160']) ).
cnf('162',plain,
e_1279 = select(a_1278,i5),
inference(cnf_transformation,[],[hyp57]) ).
cnf('163',plain,
e_1279 = select(a_1315,i5),
inference(paramodulation,[],['159','162']) ).
cnf('164',plain,
e_1318 = select(a_1315,i5),
inference(cnf_transformation,[],[hyp75]) ).
cnf('165',plain,
e_1279 = e_1318,
inference(simplify,[],['163','164']) ).
cnf('166',plain,
a_1280 = store(a_1315,i9,e_1318),
inference(simplify,[],['161','165']) ).
cnf('167',plain,
e_1316 = select(a_1315,i9),
inference(cnf_transformation,[],[hyp74]) ).
cnf('168',plain,
store(store(a_1315,i5,select(a_1315,X3)),X3,e_1318) = store(store(a_1315,X3,select(a_1315,i5)),i5,select(a_1315,X3)),
inference(paramodulation,[],['164','3']) ).
cnf('169',plain,
store(store(a_1315,i5,select(a_1315,X)),X,e_1318) = store(store(a_1315,X,e_1318),i5,select(a_1315,X)),
inference(simplify,[],['168','164']) ).
cnf('170',plain,
store(store(a_1315,i5,select(a_1315,i9)),i9,e_1318) = store(store(a_1315,i9,e_1318),i5,e_1316),
inference(paramodulation,[],['167','169']) ).
cnf('171',plain,
a_1317 = store(a_1315,i5,e_1316),
inference(cnf_transformation,[],[hyp38]) ).
cnf('172',plain,
a_1319 = store(a_1317,i9,e_1318),
inference(cnf_transformation,[],[hyp39]) ).
cnf('173',plain,
a_1319 = store(store(a_1315,i9,e_1318),i5,e_1316),
inference(simplify,[then_simplify],['170','167','171','172']) ).
cnf('174',plain,
a_1319 = store(a_1280,i5,e_1316),
inference(paramodulation,[],['166','173']) ).
cnf('175',plain,
e_1281 = select(a_1278,i9),
inference(cnf_transformation,[],[hyp58]) ).
cnf('176',plain,
e_1281 = select(a_1315,i9),
inference(paramodulation,[],['159','175']) ).
cnf('177',plain,
e_1281 = e_1316,
inference(simplify,[],['176','167']) ).
cnf('178',plain,
a_1282 = store(a_1280,i5,e_1281),
inference(cnf_transformation,[],[hyp19]) ).
cnf('179',plain,
a_1282 = store(a_1280,i5,e_1316),
inference(paramodulation,[],['177','178']) ).
cnf('180',plain,
a_1319 = a_1282,
inference(simplify,[],['174','179']) ).
cnf('181',plain,
a_1282 != a_1319,
inference(cnf_transformation,[],[goal]) ).
cnf('182',plain,
$false,
inference(paramodulation,[],['180','181']) ).
%------------------------------------------------------------------------------
%----ORIGINAL SYSTEM OUTPUT
% 0.00/0.12 % Problem : SWV543-1.010 : TPTP v8.1.2. Released v4.0.0.
% 0.00/0.13 % Command : gkc %s
% 0.13/0.34 % Computer : n026.cluster.edu
% 0.13/0.34 % Model : x86_64 x86_64
% 0.13/0.34 % CPU : Intel(R) Xeon(R) CPU E5-2620 v4 @ 2.10GHz
% 0.13/0.34 % Memory : 8042.1875MB
% 0.13/0.34 % OS : Linux 3.10.0-693.el7.x86_64
% 0.13/0.34 % CPULimit : 300
% 0.13/0.34 % WCLimit : 300
% 0.13/0.34 % DateTime : Tue Aug 29 06:21:20 EDT 2023
% 0.13/0.35 % CPUTime :
% 0.20/0.44
% 0.20/0.44 input clause set summed statistics:
% 0.20/0.44 ----------------------------------
% 0.20/0.44 in_clause_count: 80
% 0.20/0.44 in_rule_clause_count: 80
% 0.20/0.44 in_fact_clause_count: 0
% 0.20/0.44 in_answer_clause_count: 0
% 0.20/0.44 in_ground_clause_count: 77
% 0.20/0.44 in_unit_clause_count: 79
% 0.20/0.44 in_horn_clause_count: 79
% 0.20/0.44 in_pos_clause_count: 79
% 0.20/0.44 in_neg_clause_count: 1
% 0.20/0.44 in_poseq_clause_count: 79
% 0.20/0.44 in_negeq_clause_count: 1
% 0.20/0.44 in_unitposeq_clause_count: 78
% 0.20/0.44 in_chain_clause_count: 0
% 0.20/0.44 in_min_length: 1
% 0.20/0.44 in_max_length: 2
% 0.20/0.44 in_min_depth: 1
% 0.20/0.44 in_max_depth: 4
% 0.20/0.44 in_min_size: 3
% 0.20/0.44 in_max_size: 23
% 0.20/0.44 in_min_vars: 0
% 0.20/0.44 in_max_vars: 4
% 0.20/0.44 in_extaxiom_count: 0
% 0.20/0.44 in_axiom_count: 3
% 0.20/0.44 in_assumption_count: 76
% 0.20/0.44 in_goal_count: 1
% 0.20/0.44 in_neg_goal_count: 1
% 0.20/0.44 in_pos_goal_count: 0
% 0.20/0.44 in_posunit_goal_count: 0
% 0.20/0.44
% 0.20/0.44 auto guide:
% 0.20/0.44 -----------
% 0.20/0.44 {
% 0.20/0.44 "print":1,
% 0.20/0.44 "print_level": 15,
% 0.20/0.44 "max_size": 0,
% 0.20/0.44 "max_depth": 0,
% 0.20/0.44 "max_length": 0,
% 0.20/0.44 "max_dseconds": 0,
% 0.20/0.44 "runs":[
% 0.20/0.44 {"max_dseconds":1, "strategy":["unit"], "query_preference":1},
% 0.20/0.44 {"max_dseconds":1, "strategy":["query_focus"], "query_preference":1},
% 0.20/0.44 {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":1},
% 0.20/0.44 {"max_dseconds":1, "sine":5, "strategy":["negative_pref"], "query_preference":1},
% 0.20/0.44 {"max_dseconds":1, "strategy":["negative_pref","prohibit_unordered_para"], "query_preference":0},
% 0.20/0.44 {"max_dseconds":1, "strategy":["unit","prohibit_unordered_para"], "query_preference":0},
% 0.20/0.44 {"max_dseconds":1, "strategy":["unit","prohibit_unordered_para"], "query_preference":1},
% 0.20/0.44 {"max_dseconds":1, "strategy":["unit","prohibit_nested_para","prohibit_deep_para","prohibit_unordered_para"], "query_preference":0},
% 0.20/0.44 {"max_dseconds":1, "strategy":["negative_pref","prohibit_nested_para","prohibit_unordered_para","prohibit_deep_para"], "query_preference":0},
% 0.20/0.44 {"max_dseconds":1, "strategy":["unit"], "query_preference":0},
% 0.20/0.44 {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":0},
% 0.20/0.44 {"max_dseconds":1, "strategy":["hardness_pref"], "query_preference":1},
% 0.20/0.44 {"max_dseconds":1, "strategy":["hardness_pref","prohibit_unordered_para","prohibit_deep_para"], "query_preference":1},
% 0.20/0.44 {"max_dseconds":1, "strategy":["hardness_pref","prohibit_deep_para"], "query_preference":1},
% 0.20/0.44 {"max_dseconds":1, "strategy":["negative_pref","prohibit_unordered_para","prohibit_deep_para"], "query_preference":0},
% 0.20/0.44 {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":0, "weight_select_ratio":100, "depth_penalty":100, "length_penalty":100},
% 0.20/0.44 {"max_dseconds":1, "strategy":["query_focus"], "query_preference":1, "var_weight":1, "weight_select_ratio":100, "repeat_var_weight":1},
% 0.20/0.44 {"max_dseconds":1, "strategy":["positive_pref"], "query_preference":0},
% 0.20/0.44 {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":0, "max_depth":4},
% 0.20/0.44 {"max_dseconds":1, "strategy":["unit"], "query_preference":0, "var_weight":1, "depth_penalty":100, "repeat_var_weight":1},
% 0.20/0.44 {"max_dseconds":1, "strategy":["positive_pref"], "query_preference":0, "reverse_clauselist":1, "length_penalty":100},
% 0.20/0.44 {"max_dseconds":1, "strategy":["negative_pref", "prohibit_nested_para"], "query_preference":0},
% 0.20/0.44 {"max_dseconds":1, "strategy":["query_focus", "double"], "query_preference":1},
% 0.20/0.44 {"max_dseconds":1, "strategy":["unit"], "query_preference":1, "reverse_clauselist":1},
% 0.20/0.44 {"max_dseconds":1, "strategy":["unit"], "query_preference":0, "depth_penalty":100},
% 0.20/0.44 {"max_dseconds":1, "strategy":["hardness_pref"], "query_preference":0, "weight_select_ratio":20, "depth_penalty":50, "length_penalty":100},
% 0.20/0.44 {"max_dseconds":1, "strategy":["unit", "prohibit_nested_para"], "query_preference":1, "reverse_clauselist":1},
% 0.20/0.44 {"max_dseconds":1, "strategy":["unit", "prohibit_nested_para","prohibit_unordered_para"], "query_preference":1, "reverse_clauselist":1},
% 0.20/0.44 {"sine":1, "var_weight":70, "repeat_var_weight":70, "query_preference":0, "strategy":["negative_pref", "max_weight"], "max_dseconds":1},
% 0.20/0.44 {"max_dseconds":1, "strategy":["unit"], "query_preference":0, "rewrite":0},
% 0.20/0.44 {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":0, "sine":1},
% 0.20/0.44 {"max_dseconds":1, "strategy":["query_focus"], "query_preference":1, "var_weight":1, "repeat_var_weight":1},
% 0.20/0.44 {"weight_select_ratio":100, "var_weight":70, "repeat_var_weight":70, "rewrite":0, "query_preference":0, "strategy":["query_focus", "posunitpara"], "max_dseconds":1},
% 0.20/0.44 {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":0, "max_depth":2},
% 0.20/0.44 {"sine":1, "var_weight":70, "repeat_var_weight":70, "depth_penalty":50, "query_preference":1, "strategy":["query_focus", "max_weight"], "max_dseconds":1},
% 0.20/0.44 {"weight_select_ratio":100, "var_weight":70, "repeat_var_weight":70, "rewrite":0, "query_preference":1, "strategy":["query_focus", "max_weight"], "max_dseconds":1},
% 0.20/0.44 {"weight_select_ratio":100, "query_preference":0, "strategy":["negative_pref", "max_weight"], "max_dseconds":1},
% 0.20/0.44 {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":1, "equality":0},
% 0.20/0.44 {"max_dseconds":1, "strategy":["positive_pref"], "query_preference":0, "reverse_clauselist":1},
% 0.20/0.44 {"var_weight":70, "repeat_var_weight":70, "query_preference":0, "strategy":["positive_pref"], "max_dseconds":1},
% 0.20/0.44 {"var_weight":70, "repeat_var_weight":70, "length_penalty":100, "depth_penalty":100, "query_preference":1, "strategy":["query_focus"], "max_dseconds":1},
% 0.20/0.44 {"max_dseconds":1, "strategy":["unit"], "query_preference":0, "max_depth":4},
% 0.20/0.44 {"max_dseconds":1, "strategy":["unit", "prohibit_nested_para"], "query_preference":1, "reverse_clauselist":1, "max_size":17},
% 0.20/0.44 {"max_dseconds":1, "strategy":["hardness_pref"], "query_preference":0},
% 0.20/0.44 {"max_dseconds":1, "strategy":["query_focus", "unit"], "query_preference":1},
% 0.20/0.44 {"max_dseconds":1, "strategy":["hardness_pref", "posunitpara"], "query_preference":1},
% 0.20/0.44 {"max_dseconds":1, "sine":5, "strategy":["hardness_pref", "posunitpara"], "query_preference":1},
% 0.20/0.44 {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":1, "weight_select_ratio":1, "depth_penalty":50, "length_penalty":100},
% 0.20/0.44 {"max_dseconds":1, "strategy":["query_focus"], "query_preference":3},
% 0.20/0.44 {"max_dseconds":1, "strategy":["query_focus"], "query_preference":1, "depth_penalty":100},
% 0.20/0.44 {"max_dseconds":1, "strategy":["unit", "pure_unit"], "max_size":30, "max_depth":10, "max_weight":300, "weight_select_ratio":1, "rewrite":0},
% 0.20/0.44 {"max_dseconds":1, "strategy":["query_focus", "unit"], "query_preference":0},
% 0.20/0.44 {"max_dseconds":1, "strategy":["hardness_pref"], "query_preference":0, "weight_select_ratio":1, "depth_penalty":50, "length_penalty":100},
% 0.20/0.44 {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":1, "sine":1},
% 0.20/0.44 {"max_dseconds":1, "strategy":["query_focus", "posunitpara"], "query_preference":1, "depth_penalty":50, "length_penalty":100, "sine":1},
% 0.20/0.44 {"max_dseconds":1, "strategy":["hardness_pref"], "query_preference":0, "sine":1},
% 0.20/0.44 {"max_dseconds":1, "strategy":["query_focus", "positive_pref"], "query_preference":0},
% 0.20/0.44 {"max_dseconds":1, "strategy":["query_focus", "max_ground_weight"], "query_preference":1},
% 0.20/0.44 {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":1, "sine":2},
% 0.20/0.44 {"max_dseconds":1, "strategy":["query_focus"], "query_preference":1, "rewrite":0},
% 0.20/0.44 {"max_dseconds":1, "strategy":["query_focus"], "query_preference":1, "sine":2},
% 0.20/0.44 {"max_dseconds":1, "strategy":["unit"], "query_preference":0, "sine":1},
% 0.20/0.44 {"max_dseconds":1, "strategy":["hardness_pref"], "query_preference":0, "rewrite":0},
% 0.20/0.44 {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":0, "weight_select_ratio":1, "depth_penalty":50, "length_penalty":100},
% 0.20/0.44 {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":1, "length_penalty":100},
% 0.20/0.44 {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":0, "max_depth":3},
% 0.20/0.44 {"max_dseconds":1, "strategy":["query_focus"], "query_preference":1, "var_weight":1, "weight_select_ratio":30, "depth_penalty":100},
% 0.20/0.44 {"max_dseconds":1, "strategy":["negative_pref", "posunitpara"], "query_preference":1, "max_depth":2, "depth_penalty":50, "length_penalty":100},
% 0.20/0.44 {"max_dseconds":1, "strategy":["unit", "pure_unit"], "query_preference":0},
% 0.20/0.44 {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":0, "max_depth":1},
% 0.20/0.44 {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":0, "depth_penalty":100, "sine":1},
% 0.20/0.44 {"max_dseconds":1, "strategy":["query_focus", "unit"], "query_preference":0, "sine":2},
% 0.20/0.44 {"weight_select_ratio":100, "query_preference":1, "strategy":["negative_pref"], "max_dseconds":1},
% 0.20/0.44 {"max_dseconds":1, "strategy":["unit"], "query_preference":1, "max_depth":2},
% 0.20/0.44 {"max_dseconds":1, "strategy":["unit"], "query_preference":0, "max_depth":6, "var_weight":1},
% 0.20/0.44 {"max_dseconds":1, "strategy":["unit","prohibit_unordered_para"], "query_preference":0, "max_depth":6, "var_weight":1},
% 0.20/0.44 {"max_dseconds":1, "strategy":["query_focus"], "query_preference":1, "sine":1},
% 0.20/0.44 {"var_weight":70, "repeat_var_weight":70, "depth_penalty":50, "query_preference":0, "strategy":["hardness_pref"], "max_dseconds":1},
% 0.20/0.44 {"max_dseconds":1, "strategy":["unit", "pure_unit"], "weight_select_ratio":1, "query_preference":0},
% 0.20/0.44 {"max_dseconds":1, "strategy":["hardness_pref"], "query_preference":0, "weight_select_ratio":1, "depth_penalty":50, "length_penalty":100, "sine":2},
% 0.20/0.44 {"max_dseconds":1, "strategy":["query_focus", "positive_pref"], "query_preference":1},
% 0.20/0.44 {"var_weight":70, "repeat_var_weight":70, "rewrite":0, "length_penalty":100, "depth_penalty":100, "query_preference":0, "strategy":["hardness_pref", "max_weight"], "max_dseconds":1},
% 0.20/0.44 {"max_depth":0, "depth_penalty":100, "query_preference":0, "strategy":["unit", "posunitpara"], "max_dseconds":1},
% 0.20/0.44 {"depth_penalty":100, "query_preference":0, "strategy":["unit", "posunitpara"], "max_dseconds":1},
% 0.20/0.44 {"max_dseconds":1, "strategy":["hardness_pref", "posunitpara"], "query_preference":0, "depth_penalty":50, "length_penalty":100},
% 0.20/0.44 {"sine":1, "rewrite":0, "length_penalty":100, "query_preference":1, "strategy":["query_focus"], "max_dseconds":1},
% 0.20/0.44 {"weight_select_ratio":100, "var_weight":70, "repeat_var_weight":70, "query_preference":0, "strategy":["hardness_pref"], "max_dseconds":1},
% 0.20/0.44 {"var_weight":70, "repeat_var_weight":70, "depth_penalty":50, "query_preference":1, "strategy":["positive_pref", "unit"], "max_dseconds":1},
% 0.20/0.44 {"var_weight":70, "repeat_var_weight":70, "length_penalty":100, "depth_penalty":100, "query_preference":1, "strategy":["positive_pref", "unit"], "max_dseconds":1},
% 0.20/0.44 {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":1, "max_depth":2},
% 0.20/0.44 {"max_dseconds":1, "strategy":["hardness_pref", "posunitpara"], "query_preference":1, "sine":1},
% 0.20/0.44 {"max_dseconds":1, "strategy":["hardness_pref", "max_ground_weight"], "query_preference":0},
% 0.20/0.44 {"max_dseconds":1, "strategy":["negative_pref", "max_ground_weight"], "query_preference":0},
% 0.20/0.44 {"length_penalty":100, "depth_penalty":100, "query_preference":0, "strategy":["negative_pref", "hornpref", "max_weight"], "max_dseconds":1},
% 0.20/0.44 {"length_penalty":100, "depth_penalty":100, "query_preference":0, "strategy":["negative_pref", "hornpref", "max_weight","prohibit_unordered_para"], "max_dseconds":1},
% 0.20/0.44 {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":1, "var_weight":1, "repeat_var_weight":1},
% 0.20/0.44 {"max_dseconds":1, "strategy":["query_focus", "posunitpara"], "query_preference":1, "depth_penalty":50, "length_penalty":100},
% 0.20/0.44 {"depth_penalty":50, "query_preference":1, "strategy":["hardness_pref", "hornpref", "max_weight"], "max_dseconds":1},
% 0.20/0.44 {"rewrite":0, "depth_penalty":50, "query_preference":1, "strategy":["query_focus", "hornpref"], "max_dseconds":1},
% 0.20/0.44 {"weight_select_ratio":100, "var_weight":70, "repeat_var_weight":70, "length_penalty":100, "query_preference":1, "strategy":["query_focus", "prohibit_nested_para"], "max_dseconds":1},
% 0.20/0.44 {"sine":1, "var_weight":70, "repeat_var_weight":70, "rewrite":0, "depth_penalty":50, "query_preference":0, "strategy":["hardness_pref"], "max_dseconds":1},
% 0.20/0.44 {"query_preference":1, "strategy":["unit", "max_weight"], "max_dseconds":1},
% 0.20/0.44 {"sine":1, "var_weight":70, "repeat_var_weight":70, "depth_penalty":50, "query_preference":1, "strategy":["unit"], "max_dseconds":1},
% 0.20/0.44 {"max_dseconds":1, "strategy":["query_focus"], "query_preference":1, "weight_select_ratio":30, "depth_penalty":100, "length_penalty":100},
% 0.20/0.44 {"sine":2, "weight_select_ratio":100, "var_weight":70, "repeat_var_weight":70, "rewrite":0, "depth_penalty":50, "query_preference":1, "strategy":["query_focus"], "max_dseconds":1},
% 0.20/0.44 {"length_penalty":100, "query_preference":1, "strategy":["positive_pref", "posunitpara"], "max_dseconds":1},
% 0.20/0.44 {"sine":2, "query_preference":0, "strategy":["unit"], "max_dseconds":1},
% 0.20/0.44 {"weight_select_ratio":100, "rewrite":0, "depth_penalty":100, "query_preference":0, "strategy":["unit", "posunitpara"], "max_dseconds":1},
% 0.20/0.44
% 0.20/0.44 {"max_dseconds":10, "strategy":["unit"], "query_preference":1},
% 0.20/0.44 {"max_dseconds":10, "strategy":["query_focus"], "query_preference":1},
% 0.20/0.44 {"max_dseconds":10, "strategy":["negative_pref"], "query_preference":1},
% 0.20/0.44 {"max_dseconds":10, "sine":5, "strategy":["negative_pref"], "query_preference":1},
% 0.20/0.44 {"max_dseconds":10, "strategy":["negative_pref","prohibit_unordered_para"], "query_preference":0},
% 0.20/0.44 {"max_dseconds":10, "strategy":["unit","prohibit_unordered_para"], "query_preference":0},
% 0.20/0.44 {"max_dseconds":10, "strategy":["unit","prohibit_unordered_para"], "query_preference":1},
% 0.20/0.44 {"max_dseconds":10, "strategy":["unit","prohibit_nested_para","prohibit_deep_para","prohibit_unordered_para"], "query_preference":0},
% 0.20/0.44 {"max_dseconds":10, "strategy":["negative_pref","prohibit_nested_para","prohibit_unordered_para","prohibit_deep_para"], "query_preference":0},
% 0.20/0.44 {"max_dseconds":10, "strategy":["unit"], "query_preference":0},
% 0.20/0.44 {"max_dseconds":10, "strategy":["negative_pref"], "query_preference":0},
% 0.20/0.44 {"max_dseconds":10, "strategy":["hardness_pref"], "query_preference":1},
% 0.20/0.44 {"max_dseconds":10, "strategy":["hardness_pref","prohibit_unordered_para","prohibit_deep_para"], "query_preference":1},
% 0.20/0.44 {"max_dseconds":10, "strategy":["hardness_pref","prohibit_deep_para"], "query_preference":1},
% 0.20/0.44 {"max_dseconds":10, "strategy":["negative_pref","prohibit_unordered_para","prohibit_deep_para"], "query_preference":0},
% 0.20/0.44 {"max_dseconds":10, "strategy":["negative_pref"], "query_preference":0, "weight_select_ratio":100, "depth_penalty":100, "length_penalty":100},
% 0.20/0.44 {"max_dseconds":10, "strategy":["query_focus"], "query_preference":1, "var_weight":1, "weight_select_ratio":100, "repeat_var_weight":1},
% 0.20/0.44 {"max_dseconds":10, "strategy":["positive_pref"], "query_preference":0},
% 0.20/0.44 {"max_dseconds":10, "strategy":["negative_pref"], "query_preference":0, "max_depth":4},
% 0.20/0.44 {"max_dseconds":10, "strategy":["unit"], "query_preference":0, "var_weight":1, "depth_penalty":100, "repeat_var_weight":1},
% 0.20/0.44 {"max_dseconds":10, "strategy":["positive_pref"], "query_preference":0, "reverse_clauselist":1, "length_penalty":100},
% 0.20/0.44 {"max_dseconds":10, "strategy":["negative_pref", "prohibit_nested_para"], "query_preference":0},
% 0.20/0.44 {"max_dseconds":10, "strategy":["query_focus", "double"], "query_preference":1},
% 0.20/0.44 {"max_dseconds":10, "strategy":["unit"], "query_preference":1, "reverse_clauselist":1},
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% 0.20/0.44 {"max_dseconds":50, "strategy":["hardness_pref", "posunitpara"], "query_preference":0, "depth_penalty":50, "length_penalty":100},
% 0.20/0.44 {"sine":1, "rewrite":0, "length_penalty":100, "query_preference":1, "strategy":["query_focus"], "max_dseconds":50},
% 0.20/0.44 {"weight_select_ratio":100, "var_weight":70, "repeat_var_weight":70, "query_preference":0, "strategy":["hardness_pref"], "max_dseconds":50},
% 0.20/0.44 {"var_weight":70, "repeat_var_weight":70, "depth_penalty":50, "query_preference":1, "strategy":["positive_pref", "unit"], "max_dseconds":50},
% 0.20/0.44 {"var_weight":70, "repeat_var_weight":70, "length_penalty":100, "depth_penalty":100, "query_preference":1, "strategy":["positive_pref", "unit"], "max_dseconds":50},
% 0.20/0.44 {"max_dseconds":50, "strategy":["negative_pref"], "query_preference":1, "max_depth":2},
% 0.20/0.44 {"max_dseconds":50, "strategy":["hardness_pref", "posunitpara"], "query_preference":1, "sine":1},
% 0.20/0.44 {"max_dseconds":50, "strategy":["hardness_pref", "max_ground_weight"], "query_preference":0},
% 0.20/0.44 {"max_dseconds":50, "strategy":["negative_pref", "max_ground_weight"], "query_preference":0},
% 0.20/0.44 {"length_penalty":100, "depth_penalty":100, "query_preference":0, "strategy":["negative_pref", "hornpref", "max_weight"], "max_dseconds":50},
% 0.20/0.44 {"length_penalty":100, "depth_penalty":100, "query_preference":0, "strategy":["negative_pref", "hornpref", "max_weight","prohibit_unordered_para"], "max_dseconds":50},
% 0.20/0.44 {"max_dseconds":50, "strategy":["negative_pref"], "query_preference":1, "var_weight":1, "repeat_var_weight":1},
% 0.20/0.44 {"max_dseconds":50, "strategy":["query_focus", "posunitpara"], "query_preference":1, "depth_penalty":50, "length_penalty":100},
% 0.20/0.44 {"depth_penalty":50, "query_preference":1, "strategy":["hardness_pref", "hornpref", "max_weight"], "max_dseconds":50},
% 0.20/0.44 {"rewrite":0, "depth_penalty":50, "query_preference":1, "strategy":["query_focus", "hornpref"], "max_dseconds":50},
% 0.20/0.44 {"weight_select_ratio":100, "var_weight":70, "repeat_var_weight":70, "length_penalty":100, "query_preference":1, "strategy":["query_focus", "prohibit_nested_para"], "max_dseconds":50},
% 0.20/0.44 {"sine":1, "var_weight":70, "repeat_var_weight":70, "rewrite":0, "depth_penalty":50, "query_preference":0, "strategy":["hardness_pref"], "max_dseconds":50},
% 0.20/0.44 {"query_preference":1, "strategy":["unit", "max_weight"], "max_dseconds":50},
% 0.20/0.44 {"sine":1, "var_weight":70, "repeat_var_weight":70, "depth_penalty":50, "query_preference":1, "strategy":["unit"], "max_dseconds":50},
% 0.20/0.44 {"max_dseconds":50, "strategy":["query_focus"], "query_preference":1, "weight_select_ratio":30, "depth_penalty":100, "length_penalty":100},
% 0.20/0.44 {"sine":2, "weight_select_ratio":100, "var_weight":70, "repeat_var_weight":70, "rewrite":0, "depth_penalty":50, "query_preference":1, "strategy":["query_focus"], "max_dseconds":50},
% 0.20/0.44 {"length_penalty":100, "query_preference":1, "strategy":["positive_pref", "posunitpara"], "max_dseconds":50},
% 0.20/0.44 {"sine":2, "query_preference":0, "strategy":["unit"], "max_dseconds":50},
% 0.20/0.44 {"weight_select_ratio":100, "rewrite":0, "depth_penalty":100, "query_preference":0, "strategy":["unit", "posunitpara"], "max_dseconds":50},
% 0.20/0.44
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% 0.20/0.44 {"max_dseconds":250, "strategy":["negative_pref"], "query_preference":0},
% 0.20/0.44 {"max_dseconds":250, "strategy":["hardness_pref"], "query_preference":1},
% 0.20/0.44 {"max_dseconds":250, "strategy":["negative_pref"], "query_preference":0, "weight_select_ratio":100, "depth_penalty":100, "length_penalty":100},
% 0.20/0.44 {"max_dseconds":250, "strategy":["query_focus"], "query_preference":1, "var_weight":1, "weight_select_ratio":100, "repeat_var_weight":1},
% 0.20/0.44 {"max_dseconds":250, "strategy":["positive_pref"], "query_preference":0},
% 0.20/0.44 {"max_dseconds":250, "strategy":["negative_pref"], "query_preference":0, "max_depth":4},
% 0.20/0.44 {"max_dseconds":250, "strategy":["unit"], "query_preference":0, "var_weight":1, "depth_penalty":100, "repeat_var_weight":1},
% 0.20/0.44 {"max_dseconds":250, "strategy":["positive_pref"], "query_preference":0, "reverse_clauselist":1, "length_penalty":100},
% 0.20/0.44 {"max_dseconds":250, "strategy":["negative_pref", "prohibit_nested_para"], "query_preference":0},
% 0.20/0.44 {"max_dseconds":250, "strategy":["query_focus", "double"], "query_preference":1},
% 0.20/0.44 {"max_dseconds":250, "strategy":["unit"], "query_preference":1, "reverse_clauselist":1},
% 0.20/0.45 {"max_dseconds":250, "strategy":["unit"], "query_preference":0, "depth_penalty":100},
% 0.20/0.45 {"max_dseconds":250, "strategy":["hardness_pref"], "query_preference":0, "weight_select_ratio":20, "depth_penalty":50, "length_penalty":100},
% 0.20/0.45 {"max_dseconds":250, "strategy":["unit", "prohibit_nested_para"], "query_preference":1, "reverse_clauselist":1},
% 0.20/0.45 {"sine":1, "var_weight":70, "repeat_var_weight":70, "query_preference":0, "strategy":["negative_pref", "max_weight"], "max_dseconds":250},
% 0.20/0.45 {"max_dseconds":250, "strategy":["unit"], "query_preference":0, "rewrite":0},
% 0.20/0.45 {"max_dseconds":250, "strategy":["negative_pref"], "query_preference":0, "sine":1},
% 0.20/0.45 {"max_dseconds":250, "strategy":["negative_pref", "max_ground_weight"], "query_preference":0},
% 0.20/0.45
% 0.20/0.45 {"max_dseconds":1250, "strategy":["unit"], "query_preference":1},
% 0.20/0.45 {"max_dseconds":1250, "strategy":["query_focus"], "query_preference":1},
% 0.20/0.45 {"max_dseconds":1250, "strategy":["negative_pref"], "query_preference":1},
% 0.20/0.45 {"max_dseconds":1250, "strategy":["unit"], "query_preference":0},
% 0.20/0.45 {"max_dseconds":1250, "strategy":["negative_pref"], "query_preference":0},
% 0.20/0.45 {"max_dseconds":1250, "strategy":["hardness_pref"], "query_preference":1},
% 0.20/0.45 {"max_dseconds":1250, "strategy":["negative_pref"], "query_preference":0, "weight_select_ratio":100, "depth_penalty":100, "length_penalty":100},
% 0.20/0.45 {"max_dseconds":1250, "strategy":["query_focus"], "query_preference":1, "var_weight":1, "weight_select_ratio":100, "repeat_var_weight":1},
% 0.20/0.45 {"max_dseconds":1250, "strategy":["positive_pref"], "query_preference":0},
% 0.20/0.45 {"max_dseconds":1250, "strategy":["negative_pref"], "query_preference":0, "max_depth":4},
% 0.20/0.45 {"max_dseconds":1250, "strategy":["unit"], "query_preference":0, "var_weight":1, "depth_penalty":100, "repeat_var_weight":1},
% 0.20/0.45 {"max_dseconds":1250, "strategy":["positive_pref"], "query_preference":0, "reverse_clauselist":1, "length_penalty":100},
% 0.20/0.45 {"max_dseconds":1250, "strategy":["negative_pref", "prohibit_nested_para"], "query_preference":0},
% 0.20/0.45 {"max_dseconds":1250, "strategy":["query_focus", "double"], "query_preference":1},
% 0.20/0.45 {"max_dseconds":1250, "strategy":["unit"], "query_preference":1, "reverse_clauselist":1},
% 0.20/0.45 {"max_dseconds":1250, "strategy":["unit"], "query_preference":0, "depth_penalty":100},
% 0.20/0.45 {"max_dseconds":1250, "strategy":["hardness_pref"], "query_preference":0, "weight_select_ratio":20, "depth_penalty":50, "length_penalty":100},
% 0.20/0.45 {"max_dseconds":1250, "strategy":["unit", "prohibit_nested_para"], "query_preference":1, "reverse_clauselist":1},
% 0.20/0.45 {"sine":1, "var_weight":70, "repeat_var_weight":70, "query_preference":0, "strategy":["negative_pref", "max_weight"], "max_dseconds":1250},
% 0.20/0.45 {"max_dseconds":1250, "strategy":["unit"], "query_preference":0, "rewrite":0},
% 0.20/0.45 {"max_dseconds":1250, "strategy":["negative_pref"], "query_preference":0, "sine":1}
% 0.20/0.45
% 0.20/0.45 ]}
% 0.20/0.45
% 0.20/0.45
% 0.20/0.45 **** run 1 fork 0 starts with strategy
% 0.20/0.45 {"max_dseconds":1,"strategy":["unit"],"query_preference":1}
% 0.20/0.45
% 0.20/0.45 **** run 2 fork 1 starts with strategy
% 0.20/0.45 {"max_dseconds":1,"strategy":["query_focus"],"query_preference":1}
% 0.20/0.45
% 0.20/0.45 **** run 3 fork 2 starts with strategy
% 0.20/0.45 {"max_dseconds":1,"strategy":["negative_pref"],"query_preference":1}
% 0.20/0.45
% 0.20/0.45 **** run 4 fork 3 starts with strategy
% 0.20/0.45 {"max_dseconds":1,"sine":5,"strategy":["negative_pref"],"query_preference":1}
% 0.20/0.46
% 0.20/0.46 **** run 5 fork 4 starts with strategy
% 0.20/0.46 {"max_dseconds":1,"strategy":["negative_pref","prohibit_unordered_para"],"query_preference":0}
% 0.20/0.46
% 0.20/0.46 **** run 7 fork 6 starts with strategy
% 0.20/0.46 {"max_dseconds":1,"strategy":["unit","prohibit_unordered_para"],"query_preference":1}
% 0.20/0.46
% 0.20/0.46 **** run 8 fork 7 starts with strategy
% 0.20/0.46 {"max_dseconds":1,"strategy":["unit","prohibit_nested_para","prohibit_deep_para","prohibit_unordered_para"],"query_preference":0}
% 0.20/0.47
% 0.20/0.47 **** run 6 fork 5 starts with strategy
% 0.20/0.47 {"max_dseconds":1,"strategy":["unit","prohibit_unordered_para"],"query_preference":0}
% 0.20/0.55
% 0.20/0.55
% 0.20/0.55 fork 0: search terminated without proof.
% 0.20/0.55
% 0.20/0.55
% 0.20/0.55 fork 1: search terminated without proof.
% 0.20/0.56
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% 0.20/0.56 fork 2: search terminated without proof.
% 0.20/0.56
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% 0.20/0.56 fork 4: search terminated without proof.
% 0.20/0.56
% 0.20/0.56
% 0.20/0.56 fork 6: search terminated without proof.
% 0.20/0.57
% 0.20/0.57 **** run 9 fork 0 starts with strategy
% 0.20/0.57 {"max_dseconds":1,"strategy":["negative_pref","prohibit_nested_para","prohibit_unordered_para","prohibit_deep_para"],"query_preference":0}
% 0.20/0.58
% 0.20/0.58 **** run 10 fork 1 starts with strategy
% 0.20/0.58 {"max_dseconds":1,"strategy":["unit"],"query_preference":0}
% 0.20/0.58
% 0.20/0.58
% 0.20/0.58 fork 3: search terminated without proof.
% 0.20/0.58
% 0.20/0.58
% 0.20/0.58 fork 5: search terminated without proof.
% 0.20/0.58
% 0.20/0.58 **** run 11 fork 2 starts with strategy
% 0.20/0.58 {"max_dseconds":1,"strategy":["negative_pref"],"query_preference":0}
% 0.20/0.59
% 0.20/0.59 **** run 13 fork 4 starts with strategy
% 0.20/0.59
% 0.20/0.59 **** run 15 fork 6 starts with strategy
% 0.20/0.59 {"max_dseconds":1,"strategy":["negative_pref","prohibit_unordered_para","prohibit_deep_para"],"query_preference":0}
% 0.20/0.59 {"max_dseconds":1,"strategy":["hardness_pref","prohibit_unordered_para","prohibit_deep_para"],"query_preference":1}
% 0.20/0.59
% 0.20/0.59 **** run 14 fork 5 starts with strategy
% 0.20/0.59 {"max_dseconds":1,"strategy":["hardness_pref","prohibit_deep_para"],"query_preference":1}
% 0.20/0.59
% 0.20/0.59 **** run 12 fork 3 starts with strategy
% 0.20/0.59 {"max_dseconds":1,"strategy":["hardness_pref"],"query_preference":1}
% 0.20/0.68
% 0.20/0.68
% 0.20/0.68 fork 1: search terminated without proof.
% 0.20/0.68
% 0.20/0.68
% 0.20/0.68 fork 2: search terminated without proof.
% 0.20/0.69
% 0.20/0.69
% 0.20/0.69 result: proof found
% 0.20/0.69 for /export/starexec/sandbox/benchmark/theBenchmark.p
% 0.20/0.69 by run 15 fork 6 strategy {"max_dseconds":1,"strategy":["negative_pref","prohibit_unordered_para","prohibit_deep_para"],"query_preference":0}
% 0.20/0.69 % SZS status Unsatisfiable for /export/starexec/sandbox/benchmark/theBenchmark.p
% 0.20/0.69
% 0.20/0.69 % SZS output start CNFRefutation for /export/starexec/sandbox/benchmark/theBenchmark.p
% See solution above
% 0.20/0.69
% 0.20/0.69 run 15 fork 6 statistics:
% 0.20/0.69 ----------------------------------
% 0.20/0.69 this run seconds: 0.039198
% 0.20/0.69 total seconds: 0.169952
% 0.20/0.69 stat_given_used: 515
% 0.20/0.69 stat_given_used_at_endgame: 0
% 0.20/0.69 stat_given_candidates: 982
% 0.20/0.69 stat_given_candidates_at_endgame: 0
% 0.20/0.69 stat_given_candidates_h: 0
% 0.20/0.69 stat_binres_derived_cl: 0
% 0.20/0.69 stat_binres_derived_cl_h: 0
% 0.20/0.69 stat_factor_derived_cl: 1
% 0.20/0.69 stat_para_derived_cl: 4149
% 0.20/0.69 stat_tautologies_discarded: 0
% 0.20/0.69 stat_forward_subsumed: 110
% 0.20/0.69 stat_derived_cut: 0
% 0.20/0.69 stat_derived_rewritten: 183
% 0.20/0.69 stat_weight_discarded_building: 0
% 0.20/0.69 stat_weight_discarded_cl: 0
% 0.20/0.69 stat_internlimit_discarded_cl: 0
% 0.20/0.69 stat_simplified: 183 simplified 0 derived 0 given
% 0.20/0.69 stat_kept_cl: 2769
% 0.20/0.69 stat_built_cl: 3982
% 0.20/0.69 stat_hyperres_partial_cl: 0
% 0.20/0.69 stat_made_rewriters: 295
% 0.20/0.69 stat_backward_subsumed: 0
% 0.20/0.69 stat_propagated_subsumed: 0
% 0.20/0.69 stat_clsubs_attempted: 1987
% 0.20/0.69 stat_clsubs_fact_groundunit_found: 0
% 0.20/0.69 stat_clsubs_rule_groundunit_found: 1
% 0.20/0.69 stat_clsubs_top_meta_attempted: 63276
% 0.20/0.69 stat_clsubs_top_meta_failed: 61289
% 0.20/0.69 stat_clsubs_top_meta_nonpref_attempted: 63276
% 0.20/0.69 stat_clsubs_top_meta_nonpref_succeeded: 11653
% 0.20/0.69 stat_clsubs_top_meta_pref_attempted: 11653
% 0.20/0.69 stat_clsubs_top_meta_pref1_succeeded: 11653
% 0.20/0.69 stat_clsubs_top_meta_pref2_succeeded: 2389
% 0.20/0.69 stat_clsubs_top_meta_pref3_succeeded: 1987
% 0.20/0.69 stat_clsubs_top_meta_pref_succeeded: 1987
% 0.20/0.69 stat_clsubs_meta_attempted: 2082
% 0.20/0.69 stat_clsubs_meta_failed: 32
% 0.20/0.69 stat_clsubs_predsymbs_attempted: 0
% 0.20/0.69 stat_clsubs_unit_attempted: 1888
% 0.20/0.69 stat_clsubs_full_attempted: 99
% 0.20/0.69 stat_forwardsubs_attempted: 2879
% 0.20/0.69 stat_lit_hash_added: 3727
% 0.20/0.69 stat_lit_hash_computed: 11439
% 0.20/0.69 stat_lit_hash_match_found: 111
% 0.20/0.69 stat_lit_hash_match_miss: 13922
% 0.20/0.69 stat_lit_hash_cut_ok: 0
% 0.20/0.69 stat_lit_strong_cut_ok: 0
% 0.20/0.69 stat_lit_hash_subsume_ok: 110
% 0.20/0.69 clqueue els 10000000 used 1
% 0.20/0.69 clactive els 10000000 used 516
% 0.20/0.69 clactivesubsume els 10000000 used 1321
% 0.20/0.69 queue_termbuf els 200000000 used 198403
% 0.20/0.69 hyper_termbuf els 100000000 used 1
% 0.20/0.69 active_termbuf els 100000000 used 16461
% 0.20/0.69 varstack els 5000 last used 1
% 0.20/0.69 given_termbuf els 10000000 last used 1
% 0.20/0.69 simplified_termbuf els 10000000 last used 1
% 0.20/0.69 derived_termbuf els 10000000 last used 22
% 0.20/0.69 wr_mallocs: 10468
% 0.20/0.69 wr_callocs: 21
% 0.20/0.69 wr_reallocs: 559
% 0.20/0.69 wr_frees: 2
% 0.20/0.69 wr_malloc_bytes: 4162952468
% 0.20/0.69 wr_calloc_bytes: 112065536
% 0.20/0.69 wr_realloc_bytes: 133632
% 0.20/0.69 wr_realloc_freebytes: 0
% 0.20/0.69 ----------------------------------
% 0.20/0.69
% 0.20/0.69 **** run 18 fork 1 starts with strategy
% 0.20/0.69 {"max_dseconds":1,"strategy":["positive_pref"],"query_preference":0}
% 0.20/0.70
% 0.20/0.70 **** run 19 fork 2 starts with strategy
% 0.20/0.70 {"max_dseconds":1,"strategy":["negative_pref"],"query_preference":0,"max_depth":4}
% 0.20/0.70
% 0.20/0.70
% 0.20/0.70 fork 5: search terminated without proof.
%------------------------------------------------------------------------------