TSTP Solution File: SWV547-1.010 by GKC---0.8

View Problem - Process Solution

%------------------------------------------------------------------------------
% File     : GKC---0.8
% Problem  : SWV547-1.010 : TPTP v8.1.2. Released v4.0.0.
% Transfm  : none
% Format   : tptp:raw
% Command  : gkc %s

% Computer : n031.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 22:28:23 EDT 2023

% Result   : Unsatisfiable 2.22s 0.79s
% Output   : CNFRefutation 2.22s
% Verified : 
% SZS Type : ERROR: Analysing output (Could not find formula named hyp20)

% Comments : 
%------------------------------------------------------------------------------
cnf('1',plain,
    a_1334 = store(a1,i7,e_1297),
    inference(cnf_transformation,[],[hyp20]) ).

cnf('2',plain,
    e_1297 = 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,X3,e_1297),i8,select(a1,X3)) = store(store(a1,i8,select(a1,X3)),X3,select(a1,i8)),
    inference(paramodulation,[],['2','3']) ).

cnf('5',plain,
    store(store(a1,X,e_1297),i8,select(a1,X)) = store(store(a1,i8,select(a1,X)),X,e_1297),
    inference(simplify,[],['4','2']) ).

cnf('6',plain,
    store(a_1334,i8,select(a1,i7)) = store(store(a1,i8,select(a1,i7)),i7,e_1297),
    inference(paramodulation,[],['1','5']) ).

cnf('7',plain,
    e_1295 = select(a1,i7),
    inference(cnf_transformation,[],[hyp40]) ).

cnf('8',plain,
    a_1335 = store(a_1334,i8,e_1295),
    inference(cnf_transformation,[],[hyp21]) ).

cnf('9',plain,
    select(store(X,Y,Z),Y) = Z,
    inference(cnf_transformation,[],[a1]) ).

cnf('10',plain,
    select(a_1335,i8) = e_1295,
    inference(paramodulation,[],['8','9']) ).

cnf('11',plain,
    e_1336 = select(a_1335,i8),
    inference(cnf_transformation,[],[hyp59]) ).

cnf('12',plain,
    e_1336 = e_1295,
    inference(simplify,[],['10','11']) ).

cnf('13',plain,
    a_1335 = store(a_1334,i8,e_1336),
    inference(paramodulation,[],['12','8']) ).

cnf('14',plain,
    a_1296 = store(a1,i8,e_1295),
    inference(cnf_transformation,[],[hyp0]) ).

cnf('15',plain,
    a_1296 = store(a1,i8,e_1336),
    inference(paramodulation,[],['12','14']) ).

cnf('16',plain,
    a_1298 = store(a_1296,i7,e_1297),
    inference(cnf_transformation,[],[hyp1]) ).

cnf('17',plain,
    a_1335 = a_1298,
    inference(simplify,[then_simplify],['6','7','12','13','7','12','15','16']) ).

cnf('18',plain,
    e_1301 = select(a_1298,i6),
    inference(cnf_transformation,[],[hyp43]) ).

cnf('19',plain,
    e_1301 = select(a_1335,i6),
    inference(paramodulation,[],['17','18']) ).

cnf('20',plain,
    a_1302 = store(a_1300,i8,e_1301),
    inference(cnf_transformation,[],[hyp3]) ).

cnf('21',plain,
    select(a_1302,i8) = e_1301,
    inference(paramodulation,[],['20','9']) ).

cnf('22',plain,
    e_1305 = select(a_1302,i8),
    inference(cnf_transformation,[],[hyp45]) ).

cnf('23',plain,
    e_1305 = e_1301,
    inference(simplify,[],['21','22']) ).

cnf('24',plain,
    e_1338 = select(a_1335,i6),
    inference(cnf_transformation,[],[hyp60]) ).

cnf('25',plain,
    a_1339 = store(a_1337,i8,e_1338),
    inference(cnf_transformation,[],[hyp23]) ).

cnf('26',plain,
    select(a_1339,i8) = e_1338,
    inference(paramodulation,[],['25','9']) ).

cnf('27',plain,
    e_1340 = select(a_1339,i8),
    inference(cnf_transformation,[],[hyp61]) ).

cnf('28',plain,
    e_1340 = e_1338,
    inference(simplify,[],['26','27']) ).

cnf('29',plain,
    e_1305 = e_1340,
    inference(simplify,[then_simplify],['19','23','24','28']) ).

cnf('30',plain,
    a_1302 = store(a_1300,i8,e_1305),
    inference(paramodulation,[],['23','20']) ).

cnf('31',plain,
    a_1302 = store(a_1300,i8,e_1340),
    inference(paramodulation,[],['29','30']) ).

cnf('32',plain,
    a_1300 = store(a_1298,i6,e_1299),
    inference(cnf_transformation,[],[hyp2]) ).

cnf('33',plain,
    a_1300 = store(a_1335,i6,e_1299),
    inference(paramodulation,[],['17','32']) ).

cnf('34',plain,
    e_1299 = select(a_1298,i8),
    inference(cnf_transformation,[],[hyp42]) ).

cnf('35',plain,
    e_1299 = select(a_1335,i8),
    inference(paramodulation,[],['17','34']) ).

cnf('36',plain,
    e_1299 = e_1336,
    inference(simplify,[],['35','11']) ).

cnf('37',plain,
    a_1337 = store(a_1335,i6,e_1336),
    inference(cnf_transformation,[],[hyp22]) ).

cnf('38',plain,
    a_1300 = a_1337,
    inference(simplify,[then_simplify],['33','36','37']) ).

cnf('39',plain,
    a_1339 = store(a_1337,i8,e_1340),
    inference(paramodulation,[],['28','25']) ).

cnf('40',plain,
    a_1302 = a_1339,
    inference(simplify,[then_simplify],['31','38','39']) ).

cnf('41',plain,
    a_1304 = store(a_1302,i8,e_1303),
    inference(cnf_transformation,[],[hyp4]) ).

cnf('42',plain,
    a_1304 = store(a_1339,i8,e_1303),
    inference(paramodulation,[],['40','41']) ).

cnf('43',plain,
    e_1303 = select(a_1302,i5),
    inference(cnf_transformation,[],[hyp44]) ).

cnf('44',plain,
    e_1303 = select(a_1339,i5),
    inference(paramodulation,[],['40','43']) ).

cnf('45',plain,
    e_1342 = select(a_1339,i5),
    inference(cnf_transformation,[],[hyp62]) ).

cnf('46',plain,
    e_1303 = e_1342,
    inference(simplify,[],['44','45']) ).

cnf('47',plain,
    a_1304 = store(a_1339,i8,e_1342),
    inference(simplify,[],['42','46']) ).

cnf('48',plain,
    a_1341 = store(a_1339,i5,e_1340),
    inference(cnf_transformation,[],[hyp24]) ).

cnf('49',plain,
    store(store(a_1339,X3,e_1340),i8,select(a_1339,X3)) = store(store(a_1339,i8,select(a_1339,X3)),X3,select(a_1339,i8)),
    inference(paramodulation,[],['27','3']) ).

cnf('50',plain,
    store(store(a_1339,X,e_1340),i8,select(a_1339,X)) = store(store(a_1339,i8,select(a_1339,X)),X,e_1340),
    inference(simplify,[],['49','27']) ).

cnf('51',plain,
    store(a_1341,i8,select(a_1339,i5)) = store(store(a_1339,i8,select(a_1339,i5)),i5,e_1340),
    inference(paramodulation,[],['48','50']) ).

cnf('52',plain,
    a_1343 = store(a_1341,i8,e_1342),
    inference(cnf_transformation,[],[hyp25]) ).

cnf('53',plain,
    a_1343 = store(store(a_1339,i8,e_1342),i5,e_1340),
    inference(simplify,[then_simplify],['51','45','52','45']) ).

cnf('54',plain,
    a_1343 = store(a_1304,i5,e_1340),
    inference(paramodulation,[],['47','53']) ).

cnf('55',plain,
    a_1306 = store(a_1304,i5,e_1305),
    inference(cnf_transformation,[],[hyp5]) ).

cnf('56',plain,
    a_1306 = store(a_1304,i5,e_1340),
    inference(paramodulation,[],['29','55']) ).

cnf('57',plain,
    a_1343 = a_1306,
    inference(simplify,[],['54','56']) ).

cnf('58',plain,
    e_1309 = select(a_1306,i4),
    inference(cnf_transformation,[],[hyp47]) ).

cnf('59',plain,
    e_1309 = select(a_1343,i4),
    inference(paramodulation,[],['57','58']) ).

cnf('60',plain,
    e_1346 = select(a_1343,i4),
    inference(cnf_transformation,[],[hyp64]) ).

cnf('61',plain,
    e_1309 = e_1346,
    inference(simplify,[],['59','60']) ).

cnf('62',plain,
    a_1310 = store(a_1308,i9,e_1309),
    inference(cnf_transformation,[],[hyp7]) ).

cnf('63',plain,
    a_1310 = store(a_1308,i9,e_1346),
    inference(paramodulation,[],['61','62']) ).

cnf('64',plain,
    a_1308 = store(a_1306,i4,e_1307),
    inference(cnf_transformation,[],[hyp6]) ).

cnf('65',plain,
    a_1308 = store(a_1343,i4,e_1307),
    inference(paramodulation,[],['57','64']) ).

cnf('66',plain,
    e_1307 = select(a_1306,i9),
    inference(cnf_transformation,[],[hyp46]) ).

cnf('67',plain,
    e_1307 = select(a_1343,i9),
    inference(paramodulation,[],['57','66']) ).

cnf('68',plain,
    e_1344 = select(a_1343,i9),
    inference(cnf_transformation,[],[hyp63]) ).

cnf('69',plain,
    e_1307 = e_1344,
    inference(simplify,[],['67','68']) ).

cnf('70',plain,
    a_1345 = store(a_1343,i4,e_1344),
    inference(cnf_transformation,[],[hyp26]) ).

cnf('71',plain,
    a_1308 = a_1345,
    inference(simplify,[then_simplify],['65','69','70']) ).

cnf('72',plain,
    a_1347 = store(a_1345,i9,e_1346),
    inference(cnf_transformation,[],[hyp27]) ).

cnf('73',plain,
    a_1310 = a_1347,
    inference(simplify,[then_simplify],['63','71','72']) ).

cnf('74',plain,
    a_1312 = store(a_1310,i7,e_1311),
    inference(cnf_transformation,[],[hyp8]) ).

cnf('75',plain,
    a_1312 = store(a_1347,i7,e_1311),
    inference(paramodulation,[],['73','74']) ).

cnf('76',plain,
    e_1311 = select(a_1310,i1),
    inference(cnf_transformation,[],[hyp48]) ).

cnf('77',plain,
    e_1311 = select(a_1347,i1),
    inference(paramodulation,[],['73','76']) ).

cnf('78',plain,
    e_1350 = select(a_1347,i1),
    inference(cnf_transformation,[],[hyp66]) ).

cnf('79',plain,
    e_1311 = e_1350,
    inference(simplify,[],['77','78']) ).

cnf('80',plain,
    a_1312 = store(a_1347,i7,e_1350),
    inference(simplify,[],['75','79']) ).

cnf('81',plain,
    e_1348 = select(a_1347,i7),
    inference(cnf_transformation,[],[hyp65]) ).

cnf('82',plain,
    store(store(a_1347,X3,e_1350),i1,select(a_1347,X3)) = store(store(a_1347,i1,select(a_1347,X3)),X3,select(a_1347,i1)),
    inference(paramodulation,[],['78','3']) ).

cnf('83',plain,
    store(store(a_1347,X,e_1350),i1,select(a_1347,X)) = store(store(a_1347,i1,select(a_1347,X)),X,e_1350),
    inference(simplify,[],['82','78']) ).

cnf('84',plain,
    store(store(a_1347,i7,e_1350),i1,e_1348) = store(store(a_1347,i1,select(a_1347,i7)),i7,e_1350),
    inference(paramodulation,[],['81','83']) ).

cnf('85',plain,
    a_1349 = store(a_1347,i1,e_1348),
    inference(cnf_transformation,[],[hyp28]) ).

cnf('86',plain,
    a_1351 = store(a_1349,i7,e_1350),
    inference(cnf_transformation,[],[hyp29]) ).

cnf('87',plain,
    store(store(a_1347,i7,e_1350),i1,e_1348) = a_1351,
    inference(simplify,[then_simplify],['84','81','85','86']) ).

cnf('88',plain,
    store(a_1312,i1,e_1348) = a_1351,
    inference(paramodulation,[],['80','87']) ).

cnf('89',plain,
    e_1313 = select(a_1310,i7),
    inference(cnf_transformation,[],[hyp49]) ).

cnf('90',plain,
    e_1313 = select(a_1347,i7),
    inference(paramodulation,[],['73','89']) ).

cnf('91',plain,
    e_1313 = e_1348,
    inference(simplify,[],['90','81']) ).

cnf('92',plain,
    a_1314 = store(a_1312,i1,e_1313),
    inference(cnf_transformation,[],[hyp9]) ).

cnf('93',plain,
    a_1314 = store(a_1312,i1,e_1348),
    inference(paramodulation,[],['91','92']) ).

cnf('94',plain,
    a_1314 = a_1351,
    inference(simplify,[],['88','93']) ).

cnf('95',plain,
    e_1317 = select(a_1314,i4),
    inference(cnf_transformation,[],[hyp51]) ).

cnf('96',plain,
    e_1317 = select(a_1351,i4),
    inference(paramodulation,[],['94','95']) ).

cnf('97',plain,
    e_1354 = select(a_1351,i4),
    inference(cnf_transformation,[],[hyp68]) ).

cnf('98',plain,
    e_1317 = e_1354,
    inference(simplify,[],['96','97']) ).

cnf('99',plain,
    a_1318 = store(a_1316,i5,e_1317),
    inference(cnf_transformation,[],[hyp11]) ).

cnf('100',plain,
    a_1318 = store(a_1316,i5,e_1354),
    inference(paramodulation,[],['98','99']) ).

cnf('101',plain,
    a_1316 = store(a_1314,i4,e_1315),
    inference(cnf_transformation,[],[hyp10]) ).

cnf('102',plain,
    a_1316 = store(a_1351,i4,e_1315),
    inference(paramodulation,[],['94','101']) ).

cnf('103',plain,
    e_1315 = select(a_1314,i5),
    inference(cnf_transformation,[],[hyp50]) ).

cnf('104',plain,
    e_1315 = select(a_1351,i5),
    inference(paramodulation,[],['94','103']) ).

cnf('105',plain,
    e_1352 = select(a_1351,i5),
    inference(cnf_transformation,[],[hyp67]) ).

cnf('106',plain,
    e_1315 = e_1352,
    inference(simplify,[],['104','105']) ).

cnf('107',plain,
    a_1353 = store(a_1351,i4,e_1352),
    inference(cnf_transformation,[],[hyp30]) ).

cnf('108',plain,
    a_1316 = a_1353,
    inference(simplify,[then_simplify],['102','106','107']) ).

cnf('109',plain,
    a_1355 = store(a_1353,i5,e_1354),
    inference(cnf_transformation,[],[hyp31]) ).

cnf('110',plain,
    a_1318 = a_1355,
    inference(simplify,[then_simplify],['100','108','109']) ).

cnf('111',plain,
    e_1319 = select(a_1318,i0),
    inference(cnf_transformation,[],[hyp52]) ).

cnf('112',plain,
    e_1319 = select(a_1355,i0),
    inference(paramodulation,[],['110','111']) ).

cnf('113',plain,
    e_1356 = select(a_1355,i0),
    inference(cnf_transformation,[],[hyp69]) ).

cnf('114',plain,
    e_1319 = e_1356,
    inference(simplify,[],['112','113']) ).

cnf('115',plain,
    a_1321 = store(a_1320,i0,e_1319),
    inference(cnf_transformation,[],[hyp13]) ).

cnf('116',plain,
    a_1321 = store(a_1320,i0,e_1356),
    inference(paramodulation,[],['114','115']) ).

cnf('117',plain,
    a_1320 = store(a_1318,i0,e_1319),
    inference(cnf_transformation,[],[hyp12]) ).

cnf('118',plain,
    a_1320 = store(a_1355,i0,e_1319),
    inference(paramodulation,[],['110','117']) ).

cnf('119',plain,
    a_1357 = store(a_1355,i0,e_1356),
    inference(cnf_transformation,[],[hyp32]) ).

cnf('120',plain,
    a_1320 = a_1357,
    inference(simplify,[then_simplify],['118','114','119']) ).

cnf('121',plain,
    a_1358 = store(a_1357,i0,e_1356),
    inference(cnf_transformation,[],[hyp33]) ).

cnf('122',plain,
    a_1321 = a_1358,
    inference(simplify,[then_simplify],['116','120','121']) ).

cnf('123',plain,
    a_1323 = store(a_1321,i1,e_1322),
    inference(cnf_transformation,[],[hyp14]) ).

cnf('124',plain,
    a_1323 = store(a_1358,i1,e_1322),
    inference(paramodulation,[],['122','123']) ).

cnf('125',plain,
    e_1322 = select(a_1321,i2),
    inference(cnf_transformation,[],[hyp53]) ).

cnf('126',plain,
    e_1322 = select(a_1358,i2),
    inference(paramodulation,[],['122','125']) ).

cnf('127',plain,
    e_1361 = select(a_1358,i2),
    inference(cnf_transformation,[],[hyp71]) ).

cnf('128',plain,
    e_1322 = e_1361,
    inference(simplify,[],['126','127']) ).

cnf('129',plain,
    a_1323 = store(a_1358,i1,e_1361),
    inference(simplify,[],['124','128']) ).

cnf('130',plain,
    e_1359 = select(a_1358,i1),
    inference(cnf_transformation,[],[hyp70]) ).

cnf('131',plain,
    store(store(a_1358,X3,e_1361),i2,select(a_1358,X3)) = store(store(a_1358,i2,select(a_1358,X3)),X3,select(a_1358,i2)),
    inference(paramodulation,[],['127','3']) ).

cnf('132',plain,
    store(store(a_1358,X,e_1361),i2,select(a_1358,X)) = store(store(a_1358,i2,select(a_1358,X)),X,e_1361),
    inference(simplify,[],['131','127']) ).

cnf('133',plain,
    store(store(a_1358,i1,e_1361),i2,e_1359) = store(store(a_1358,i2,select(a_1358,i1)),i1,e_1361),
    inference(paramodulation,[],['130','132']) ).

cnf('134',plain,
    a_1360 = store(a_1358,i2,e_1359),
    inference(cnf_transformation,[],[hyp34]) ).

cnf('135',plain,
    a_1362 = store(a_1360,i1,e_1361),
    inference(cnf_transformation,[],[hyp35]) ).

cnf('136',plain,
    store(store(a_1358,i1,e_1361),i2,e_1359) = a_1362,
    inference(simplify,[then_simplify],['133','130','134','135']) ).

cnf('137',plain,
    store(a_1323,i2,e_1359) = a_1362,
    inference(paramodulation,[],['129','136']) ).

cnf('138',plain,
    e_1324 = select(a_1321,i1),
    inference(cnf_transformation,[],[hyp54]) ).

cnf('139',plain,
    e_1324 = select(a_1358,i1),
    inference(paramodulation,[],['122','138']) ).

cnf('140',plain,
    e_1324 = e_1359,
    inference(simplify,[],['139','130']) ).

cnf('141',plain,
    a_1325 = store(a_1323,i2,e_1324),
    inference(cnf_transformation,[],[hyp15]) ).

cnf('142',plain,
    a_1325 = store(a_1323,i2,e_1359),
    inference(paramodulation,[],['140','141']) ).

cnf('143',plain,
    a_1325 = a_1362,
    inference(simplify,[],['137','142']) ).

cnf('144',plain,
    e_1328 = select(a_1325,i3),
    inference(cnf_transformation,[],[hyp56]) ).

cnf('145',plain,
    e_1328 = select(a_1362,i3),
    inference(paramodulation,[],['143','144']) ).

cnf('146',plain,
    e_1365 = select(a_1362,i3),
    inference(cnf_transformation,[],[hyp73]) ).

cnf('147',plain,
    e_1328 = e_1365,
    inference(simplify,[],['145','146']) ).

cnf('148',plain,
    a_1329 = store(a_1327,i0,e_1328),
    inference(cnf_transformation,[],[hyp17]) ).

cnf('149',plain,
    a_1329 = store(a_1327,i0,e_1365),
    inference(paramodulation,[],['147','148']) ).

cnf('150',plain,
    a_1327 = store(a_1325,i3,e_1326),
    inference(cnf_transformation,[],[hyp16]) ).

cnf('151',plain,
    a_1327 = store(a_1362,i3,e_1326),
    inference(paramodulation,[],['143','150']) ).

cnf('152',plain,
    e_1326 = select(a_1325,i0),
    inference(cnf_transformation,[],[hyp55]) ).

cnf('153',plain,
    e_1326 = select(a_1362,i0),
    inference(paramodulation,[],['143','152']) ).

cnf('154',plain,
    e_1363 = select(a_1362,i0),
    inference(cnf_transformation,[],[hyp72]) ).

cnf('155',plain,
    e_1326 = e_1363,
    inference(simplify,[],['153','154']) ).

cnf('156',plain,
    a_1364 = store(a_1362,i3,e_1363),
    inference(cnf_transformation,[],[hyp36]) ).

cnf('157',plain,
    a_1327 = a_1364,
    inference(simplify,[then_simplify],['151','155','156']) ).

cnf('158',plain,
    a_1366 = store(a_1364,i0,e_1365),
    inference(cnf_transformation,[],[hyp37]) ).

cnf('159',plain,
    a_1329 = a_1366,
    inference(simplify,[then_simplify],['149','157','158']) ).

cnf('160',plain,
    a_1331 = store(a_1329,i9,e_1330),
    inference(cnf_transformation,[],[hyp18]) ).

cnf('161',plain,
    a_1331 = store(a_1366,i9,e_1330),
    inference(paramodulation,[],['159','160']) ).

cnf('162',plain,
    e_1330 = select(a_1329,i5),
    inference(cnf_transformation,[],[hyp57]) ).

cnf('163',plain,
    e_1330 = select(a_1366,i5),
    inference(paramodulation,[],['159','162']) ).

cnf('164',plain,
    e_1369 = select(a_1366,i5),
    inference(cnf_transformation,[],[hyp75]) ).

cnf('165',plain,
    e_1330 = e_1369,
    inference(simplify,[],['163','164']) ).

cnf('166',plain,
    a_1331 = store(a_1366,i9,e_1369),
    inference(simplify,[],['161','165']) ).

cnf('167',plain,
    e_1367 = select(a_1366,i9),
    inference(cnf_transformation,[],[hyp74]) ).

cnf('168',plain,
    store(store(a_1366,X3,e_1369),i5,select(a_1366,X3)) = store(store(a_1366,i5,select(a_1366,X3)),X3,select(a_1366,i5)),
    inference(paramodulation,[],['164','3']) ).

cnf('169',plain,
    store(store(a_1366,X,e_1369),i5,select(a_1366,X)) = store(store(a_1366,i5,select(a_1366,X)),X,e_1369),
    inference(simplify,[],['168','164']) ).

cnf('170',plain,
    store(store(a_1366,i9,e_1369),i5,e_1367) = store(store(a_1366,i5,select(a_1366,i9)),i9,e_1369),
    inference(paramodulation,[],['167','169']) ).

cnf('171',plain,
    a_1368 = store(a_1366,i5,e_1367),
    inference(cnf_transformation,[],[hyp38]) ).

cnf('172',plain,
    a_1370 = store(a_1368,i9,e_1369),
    inference(cnf_transformation,[],[hyp39]) ).

cnf('173',plain,
    store(store(a_1366,i9,e_1369),i5,e_1367) = a_1370,
    inference(simplify,[then_simplify],['170','167','171','172']) ).

cnf('174',plain,
    store(a_1331,i5,e_1367) = a_1370,
    inference(paramodulation,[],['166','173']) ).

cnf('175',plain,
    e_1332 = select(a_1329,i9),
    inference(cnf_transformation,[],[hyp58]) ).

cnf('176',plain,
    e_1332 = select(a_1366,i9),
    inference(paramodulation,[],['159','175']) ).

cnf('177',plain,
    e_1332 = e_1367,
    inference(simplify,[],['176','167']) ).

cnf('178',plain,
    a_1333 = store(a_1331,i5,e_1332),
    inference(cnf_transformation,[],[hyp19]) ).

cnf('179',plain,
    a_1333 = store(a_1331,i5,e_1367),
    inference(paramodulation,[],['177','178']) ).

cnf('180',plain,
    a_1333 = a_1370,
    inference(simplify,[],['174','179']) ).

cnf('181',plain,
    e_1372 = select(a_1333,i_1371),
    inference(cnf_transformation,[],[hyp76]) ).

cnf('182',plain,
    e_1372 = select(a_1370,i_1371),
    inference(paramodulation,[],['180','181']) ).

cnf('183',plain,
    e_1372 != e_1373,
    inference(cnf_transformation,[],[goal]) ).

cnf('184',plain,
    e_1373 = select(a_1370,i_1371),
    inference(cnf_transformation,[],[hyp77]) ).

cnf('185',plain,
    $false,
    inference(simplify,[then_simplify],['182','183','184']) ).


%------------------------------------------------------------------------------
%----ORIGINAL SYSTEM OUTPUT
% 0.00/0.12  % Problem  : SWV547-1.010 : TPTP v8.1.2. Released v4.0.0.
% 0.00/0.13  % Command  : gkc %s
% 0.13/0.34  % Computer : n031.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 07:46:56 EDT 2023
% 0.13/0.34  % CPUTime  : 
% 0.19/0.40  
% 0.19/0.40  input clause set summed statistics:
% 0.19/0.40  ----------------------------------
% 0.19/0.40  in_clause_count:                    83
% 0.19/0.40  in_rule_clause_count:               83
% 0.19/0.40  in_fact_clause_count:                0
% 0.19/0.40  in_answer_clause_count:              0
% 0.19/0.40  in_ground_clause_count:             80
% 0.19/0.40  in_unit_clause_count:               82
% 0.19/0.40  in_horn_clause_count:               82
% 0.19/0.40  in_pos_clause_count:                82
% 0.19/0.40  in_neg_clause_count:                 1
% 0.19/0.40  in_poseq_clause_count:              82
% 0.19/0.40  in_negeq_clause_count:               1
% 0.19/0.40  in_unitposeq_clause_count:          81
% 0.19/0.40  in_chain_clause_count:               0
% 0.19/0.40  in_min_length:             1
% 0.19/0.40  in_max_length:             2
% 0.19/0.40  in_min_depth:              1
% 0.19/0.40  in_max_depth:              4
% 0.19/0.40  in_min_size:               3
% 0.19/0.40  in_max_size:              23
% 0.19/0.40  in_min_vars:               0
% 0.19/0.40  in_max_vars:               4
% 0.19/0.40  in_extaxiom_count:                 0
% 0.19/0.40  in_axiom_count:                    3
% 0.19/0.40  in_assumption_count:              79
% 0.19/0.40  in_goal_count:                     1
% 0.19/0.40  in_neg_goal_count:                 1
% 0.19/0.40  in_pos_goal_count:                 0
% 0.19/0.40  in_posunit_goal_count:             0
% 0.19/0.40  
% 0.19/0.40  auto guide:
% 0.19/0.40  -----------
% 0.19/0.40  {
% 0.19/0.40  "print":1,
% 0.19/0.40  "print_level": 15,
% 0.19/0.40  "max_size": 0,
% 0.19/0.40  "max_depth": 0,
% 0.19/0.40  "max_length": 0,
% 0.19/0.40  "max_dseconds": 0,
% 0.19/0.40  "runs":[
% 0.19/0.40  {"max_dseconds":1, "strategy":["unit"], "query_preference":1},
% 0.19/0.40  {"max_dseconds":1, "strategy":["query_focus"], "query_preference":1},
% 0.19/0.40  {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":1},
% 0.19/0.40  {"max_dseconds":1, "sine":5, "strategy":["negative_pref"], "query_preference":1},
% 0.19/0.40  {"max_dseconds":1, "strategy":["negative_pref","prohibit_unordered_para"], "query_preference":0},
% 0.19/0.40  {"max_dseconds":1, "strategy":["unit","prohibit_unordered_para"], "query_preference":0},
% 0.19/0.40  {"max_dseconds":1, "strategy":["unit","prohibit_unordered_para"], "query_preference":1},
% 0.19/0.40  {"max_dseconds":1, "strategy":["unit","prohibit_nested_para","prohibit_deep_para","prohibit_unordered_para"], "query_preference":0},
% 0.19/0.40  {"max_dseconds":1, "strategy":["negative_pref","prohibit_nested_para","prohibit_unordered_para","prohibit_deep_para"], "query_preference":0},
% 0.19/0.40  {"max_dseconds":1, "strategy":["unit"], "query_preference":0},
% 0.19/0.40  {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":0},
% 0.19/0.40  {"max_dseconds":1, "strategy":["hardness_pref"], "query_preference":1},
% 0.19/0.40  {"max_dseconds":1, "strategy":["hardness_pref","prohibit_unordered_para","prohibit_deep_para"], "query_preference":1},
% 0.19/0.40  {"max_dseconds":1, "strategy":["hardness_pref","prohibit_deep_para"], "query_preference":1},
% 0.19/0.40  {"max_dseconds":1, "strategy":["negative_pref","prohibit_unordered_para","prohibit_deep_para"], "query_preference":0},
% 0.19/0.40  {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":0, "weight_select_ratio":100, "depth_penalty":100, "length_penalty":100},
% 0.19/0.40  {"max_dseconds":1, "strategy":["query_focus"], "query_preference":1, "var_weight":1, "weight_select_ratio":100, "repeat_var_weight":1},
% 0.19/0.40  {"max_dseconds":1, "strategy":["positive_pref"], "query_preference":0},
% 0.19/0.40  {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":0, "max_depth":4},
% 0.19/0.40  {"max_dseconds":1, "strategy":["unit"], "query_preference":0, "var_weight":1, "depth_penalty":100, "repeat_var_weight":1},
% 0.19/0.40  {"max_dseconds":1, "strategy":["positive_pref"], "query_preference":0, "reverse_clauselist":1, "length_penalty":100},
% 0.19/0.40  {"max_dseconds":1, "strategy":["negative_pref", "prohibit_nested_para"], "query_preference":0},
% 0.19/0.40  {"max_dseconds":1, "strategy":["query_focus", "double"], "query_preference":1},
% 0.19/0.40  {"max_dseconds":1, "strategy":["unit"], "query_preference":1, "reverse_clauselist":1},
% 0.19/0.40  {"max_dseconds":1, "strategy":["unit"], "query_preference":0, "depth_penalty":100},
% 0.19/0.40  {"max_dseconds":1, "strategy":["hardness_pref"], "query_preference":0, "weight_select_ratio":20, "depth_penalty":50, "length_penalty":100},
% 0.19/0.40  {"max_dseconds":1, "strategy":["unit", "prohibit_nested_para"], "query_preference":1, "reverse_clauselist":1},
% 0.19/0.40  {"max_dseconds":1, "strategy":["unit", "prohibit_nested_para","prohibit_unordered_para"], "query_preference":1, "reverse_clauselist":1},
% 0.19/0.40  {"sine":1, "var_weight":70, "repeat_var_weight":70, "query_preference":0, "strategy":["negative_pref", "max_weight"], "max_dseconds":1},
% 0.19/0.40  {"max_dseconds":1, "strategy":["unit"], "query_preference":0, "rewrite":0},
% 0.19/0.40  {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":0, "sine":1},
% 0.19/0.40  {"max_dseconds":1, "strategy":["query_focus"], "query_preference":1, "var_weight":1, "repeat_var_weight":1},
% 0.19/0.40  {"weight_select_ratio":100, "var_weight":70, "repeat_var_weight":70, "rewrite":0, "query_preference":0, "strategy":["query_focus", "posunitpara"], "max_dseconds":1},
% 0.19/0.40  {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":0, "max_depth":2},
% 0.19/0.40  {"sine":1, "var_weight":70, "repeat_var_weight":70, "depth_penalty":50, "query_preference":1, "strategy":["query_focus", "max_weight"], "max_dseconds":1},
% 0.19/0.40  {"weight_select_ratio":100, "var_weight":70, "repeat_var_weight":70, "rewrite":0, "query_preference":1, "strategy":["query_focus", "max_weight"], "max_dseconds":1},
% 0.19/0.40  {"weight_select_ratio":100, "query_preference":0, "strategy":["negative_pref", "max_weight"], "max_dseconds":1},
% 0.19/0.40  {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":1, "equality":0},
% 0.19/0.40  {"max_dseconds":1, "strategy":["positive_pref"], "query_preference":0, "reverse_clauselist":1},
% 0.19/0.40  {"var_weight":70, "repeat_var_weight":70, "query_preference":0, "strategy":["positive_pref"], "max_dseconds":1},
% 0.19/0.40  {"var_weight":70, "repeat_var_weight":70, "length_penalty":100, "depth_penalty":100, "query_preference":1, "strategy":["query_focus"], "max_dseconds":1},
% 0.19/0.40  {"max_dseconds":1, "strategy":["unit"], "query_preference":0, "max_depth":4},
% 0.19/0.40  {"max_dseconds":1, "strategy":["unit", "prohibit_nested_para"], "query_preference":1, "reverse_clauselist":1, "max_size":17},
% 0.19/0.40  {"max_dseconds":1, "strategy":["hardness_pref"], "query_preference":0},
% 0.19/0.40  {"max_dseconds":1, "strategy":["query_focus", "unit"], "query_preference":1},
% 0.19/0.40  {"max_dseconds":1, "strategy":["hardness_pref", "posunitpara"], "query_preference":1},
% 0.19/0.40  {"max_dseconds":1, "sine":5, "strategy":["hardness_pref", "posunitpara"], "query_preference":1},
% 0.19/0.40  {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":1, "weight_select_ratio":1, "depth_penalty":50, "length_penalty":100},
% 0.19/0.40  {"max_dseconds":1, "strategy":["query_focus"], "query_preference":3},
% 0.19/0.40  {"max_dseconds":1, "strategy":["query_focus"], "query_preference":1, "depth_penalty":100},
% 0.19/0.40  {"max_dseconds":1, "strategy":["unit", "pure_unit"], "max_size":30, "max_depth":10, "max_weight":300, "weight_select_ratio":1, "rewrite":0},
% 0.19/0.40  {"max_dseconds":1, "strategy":["query_focus", "unit"], "query_preference":0},
% 0.19/0.40  {"max_dseconds":1, "strategy":["hardness_pref"], "query_preference":0, "weight_select_ratio":1, "depth_penalty":50, "length_penalty":100},
% 0.19/0.40  {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":1, "sine":1},
% 0.19/0.40  {"max_dseconds":1, "strategy":["query_focus", "posunitpara"], "query_preference":1, "depth_penalty":50, "length_penalty":100, "sine":1},
% 0.19/0.40  {"max_dseconds":1, "strategy":["hardness_pref"], "query_preference":0, "sine":1},
% 0.19/0.40  {"max_dseconds":1, "strategy":["query_focus", "positive_pref"], "query_preference":0},
% 0.19/0.40  {"max_dseconds":1, "strategy":["query_focus", "max_ground_weight"], "query_preference":1},
% 0.19/0.40  {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":1, "sine":2},
% 0.19/0.40  {"max_dseconds":1, "strategy":["query_focus"], "query_preference":1, "rewrite":0},
% 0.19/0.40  {"max_dseconds":1, "strategy":["query_focus"], "query_preference":1, "sine":2},
% 0.19/0.40  {"max_dseconds":1, "strategy":["unit"], "query_preference":0, "sine":1},
% 0.19/0.40  {"max_dseconds":1, "strategy":["hardness_pref"], "query_preference":0, "rewrite":0},
% 0.19/0.40  {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":0, "weight_select_ratio":1, "depth_penalty":50, "length_penalty":100},
% 0.19/0.40  {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":1, "length_penalty":100},
% 0.19/0.40  {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":0, "max_depth":3},
% 0.19/0.40  {"max_dseconds":1, "strategy":["query_focus"], "query_preference":1, "var_weight":1, "weight_select_ratio":30, "depth_penalty":100},
% 0.19/0.40  {"max_dseconds":1, "strategy":["negative_pref", "posunitpara"], "query_preference":1, "max_depth":2, "depth_penalty":50, "length_penalty":100},
% 0.19/0.40  {"max_dseconds":1, "strategy":["unit", "pure_unit"], "query_preference":0},
% 0.19/0.40  {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":0, "max_depth":1},
% 0.19/0.40  {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":0, "depth_penalty":100, "sine":1},
% 0.19/0.40  {"max_dseconds":1, "strategy":["query_focus", "unit"], "query_preference":0, "sine":2},
% 0.19/0.40  {"weight_select_ratio":100, "query_preference":1, "strategy":["negative_pref"], "max_dseconds":1},
% 0.19/0.40  {"max_dseconds":1, "strategy":["unit"], "query_preference":1, "max_depth":2},
% 0.19/0.40  {"max_dseconds":1, "strategy":["unit"], "query_preference":0, "max_depth":6, "var_weight":1},
% 0.19/0.40  {"max_dseconds":1, "strategy":["unit","prohibit_unordered_para"], "query_preference":0, "max_depth":6, "var_weight":1},
% 0.19/0.40  {"max_dseconds":1, "strategy":["query_focus"], "query_preference":1, "sine":1},
% 0.19/0.40  {"var_weight":70, "repeat_var_weight":70, "depth_penalty":50, "query_preference":0, "strategy":["hardness_pref"], "max_dseconds":1},
% 0.19/0.40  {"max_dseconds":1, "strategy":["unit", "pure_unit"], "weight_select_ratio":1, "query_preference":0},
% 0.19/0.40  {"max_dseconds":1, "strategy":["hardness_pref"], "query_preference":0, "weight_select_ratio":1, "depth_penalty":50, "length_penalty":100, "sine":2},
% 0.19/0.40  {"max_dseconds":1, "strategy":["query_focus", "positive_pref"], "query_preference":1},
% 0.19/0.40  {"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},
% 0.19/0.40  {"max_depth":0, "depth_penalty":100, "query_preference":0, "strategy":["unit", "posunitpara"], "max_dseconds":1},
% 0.19/0.40  {"depth_penalty":100, "query_preference":0, "strategy":["unit", "posunitpara"], "max_dseconds":1},
% 0.19/0.40  {"max_dseconds":1, "strategy":["hardness_pref", "posunitpara"], "query_preference":0, "depth_penalty":50, "length_penalty":100},
% 0.19/0.40  {"sine":1, "rewrite":0, "length_penalty":100, "query_preference":1, "strategy":["query_focus"], "max_dseconds":1},
% 0.19/0.40  {"weight_select_ratio":100, "var_weight":70, "repeat_var_weight":70, "query_preference":0, "strategy":["hardness_pref"], "max_dseconds":1},
% 0.19/0.40  {"var_weight":70, "repeat_var_weight":70, "depth_penalty":50, "query_preference":1, "strategy":["positive_pref", "unit"], "max_dseconds":1},
% 0.19/0.40  {"var_weight":70, "repeat_var_weight":70, "length_penalty":100, "depth_penalty":100, "query_preference":1, "strategy":["positive_pref", "unit"], "max_dseconds":1},
% 0.19/0.40  {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":1, "max_depth":2},
% 0.19/0.40  {"max_dseconds":1, "strategy":["hardness_pref", "posunitpara"], "query_preference":1, "sine":1},
% 0.19/0.40  {"max_dseconds":1, "strategy":["hardness_pref", "max_ground_weight"], "query_preference":0},
% 0.19/0.40  {"max_dseconds":1, "strategy":["negative_pref", "max_ground_weight"], "query_preference":0},
% 0.19/0.40  {"length_penalty":100, "depth_penalty":100, "query_preference":0, "strategy":["negative_pref", "hornpref", "max_weight"], "max_dseconds":1},
% 0.19/0.40  {"length_penalty":100, "depth_penalty":100, "query_preference":0, "strategy":["negative_pref", "hornpref", "max_weight","prohibit_unordered_para"], "max_dseconds":1},
% 0.19/0.40  {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":1, "var_weight":1, "repeat_var_weight":1},
% 0.19/0.40  {"max_dseconds":1, "strategy":["query_focus", "posunitpara"], "query_preference":1, "depth_penalty":50, "length_penalty":100},
% 0.19/0.40  {"depth_penalty":50, "query_preference":1, "strategy":["hardness_pref", "hornpref", "max_weight"], "max_dseconds":1},
% 0.19/0.40  {"rewrite":0, "depth_penalty":50, "query_preference":1, "strategy":["query_focus", "hornpref"], "max_dseconds":1},
% 0.19/0.40  {"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},
% 0.19/0.40  {"sine":1, "var_weight":70, "repeat_var_weight":70, "rewrite":0, "depth_penalty":50, "query_preference":0, "strategy":["hardness_pref"], "max_dseconds":1},
% 0.19/0.40  {"query_preference":1, "strategy":["unit", "max_weight"], "max_dseconds":1},
% 0.19/0.40  {"sine":1, "var_weight":70, "repeat_var_weight":70, "depth_penalty":50, "query_preference":1, "strategy":["unit"], "max_dseconds":1},
% 0.19/0.40  {"max_dseconds":1, "strategy":["query_focus"], "query_preference":1, "weight_select_ratio":30, "depth_penalty":100, "length_penalty":100},
% 0.19/0.40  {"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},
% 0.19/0.40  {"length_penalty":100, "query_preference":1, "strategy":["positive_pref", "posunitpara"], "max_dseconds":1},
% 0.19/0.40  {"sine":2, "query_preference":0, "strategy":["unit"], "max_dseconds":1},
% 0.19/0.40  {"weight_select_ratio":100, "rewrite":0, "depth_penalty":100, "query_preference":0, "strategy":["unit", "posunitpara"], "max_dseconds":1},
% 0.19/0.40  
% 0.19/0.40  {"max_dseconds":10, "strategy":["unit"], "query_preference":1},
% 0.19/0.40  {"max_dseconds":10, "strategy":["query_focus"], "query_preference":1},
% 0.19/0.40  {"max_dseconds":10, "strategy":["negative_pref"], "query_preference":1},
% 0.19/0.40  {"max_dseconds":10, "sine":5, "strategy":["negative_pref"], "query_preference":1},
% 0.19/0.40  {"max_dseconds":10, "strategy":["negative_pref","prohibit_unordered_para"], "query_preference":0},
% 0.19/0.40  {"max_dseconds":10, "strategy":["unit","prohibit_unordered_para"], "query_preference":0},
% 0.19/0.40  {"max_dseconds":10, "strategy":["unit","prohibit_unordered_para"], "query_preference":1},
% 0.19/0.40  {"max_dseconds":10, "strategy":["unit","prohibit_nested_para","prohibit_deep_para","prohibit_unordered_para"], "query_preference":0},
% 0.19/0.40  {"max_dseconds":10, "strategy":["negative_pref","prohibit_nested_para","prohibit_unordered_para","prohibit_deep_para"], "query_preference":0},
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% 0.19/0.40  {"max_dseconds":50, "strategy":["negative_pref", "posunitpara"], "query_preference":1, "max_depth":2, "depth_penalty":50, "length_penalty":100},
% 0.19/0.40  {"max_dseconds":50, "strategy":["unit", "pure_unit"], "query_preference":0},
% 0.19/0.40  {"max_dseconds":50, "strategy":["negative_pref"], "query_preference":0, "max_depth":1},
% 0.19/0.40  {"max_dseconds":50, "strategy":["negative_pref"], "query_preference":0, "depth_penalty":100, "sine":1},
% 0.19/0.40  {"max_dseconds":50, "strategy":["query_focus", "unit"], "query_preference":0, "sine":2},
% 0.19/0.40  {"weight_select_ratio":100, "query_preference":1, "strategy":["negative_pref"], "max_dseconds":50},
% 0.19/0.40  {"max_dseconds":50, "strategy":["unit"], "query_preference":1, "max_depth":2},
% 0.19/0.40  {"max_dseconds":50, "strategy":["unit"], "query_preference":0, "max_depth":6, "var_weight":1},
% 0.19/0.40  {"max_dseconds":50, "strategy":["unit","prohibit_unordered_para"], "query_preference":0, "max_depth":6, "var_weight":1},
% 0.19/0.40  {"max_dseconds":50, "strategy":["query_focus"], "query_preference":1, "sine":1},
% 0.19/0.40  {"var_weight":70, "repeat_var_weight":70, "depth_penalty":50, "query_preference":0, "strategy":["hardness_pref"], "max_dseconds":50},
% 0.19/0.40  {"max_dseconds":50, "strategy":["unit", "pure_unit"], "weight_select_ratio":1, "query_preference":0},
% 0.19/0.40  {"max_dseconds":50, "strategy":["hardness_pref"], "query_preference":0, "weight_select_ratio":1, "depth_penalty":50, "length_penalty":100, "sine":2},
% 0.19/0.40  {"max_dseconds":50, "strategy":["query_focus", "positive_pref"], "query_preference":1},
% 0.19/0.40  {"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":50},
% 0.19/0.40  {"max_depth":0, "depth_penalty":100, "query_preference":0, "strategy":["unit", "posunitpara"], "max_dseconds":50},
% 0.19/0.40  {"depth_penalty":100, "query_preference":0, "strategy":["unit", "posunitpara"], "max_dseconds":50},
% 0.19/0.40  {"max_dseconds":50, "strategy":["hardness_pref", "posunitpara"], "query_preference":0, "depth_penalty":50, "length_penalty":100},
% 0.19/0.40  {"sine":1, "rewrite":0, "length_penalty":100, "query_preference":1, "strategy":["query_focus"], "max_dseconds":50},
% 0.19/0.40  {"weight_select_ratio":100, "var_weight":70, "repeat_var_weight":70, "query_preference":0, "strategy":["hardness_pref"], "max_dseconds":50},
% 0.19/0.40  {"var_weight":70, "repeat_var_weight":70, "depth_penalty":50, "query_preference":1, "strategy":["positive_pref", "unit"], "max_dseconds":50},
% 0.19/0.40  {"var_weight":70, "repeat_var_weight":70, "length_penalty":100, "depth_penalty":100, "query_preference":1, "strategy":["positive_pref", "unit"], "max_dseconds":50},
% 0.19/0.40  {"max_dseconds":50, "strategy":["negative_pref"], "query_preference":1, "max_depth":2},
% 0.19/0.40  {"max_dseconds":50, "strategy":["hardness_pref", "posunitpara"], "query_preference":1, "sine":1},
% 0.19/0.40  {"max_dseconds":50, "strategy":["hardness_pref", "max_ground_weight"], "query_preference":0},
% 0.19/0.40  {"max_dseconds":50, "strategy":["negative_pref", "max_ground_weight"], "query_preference":0},
% 0.19/0.40  {"length_penalty":100, "depth_penalty":100, "query_preference":0, "strategy":["negative_pref", "hornpref", "max_weight"], "max_dseconds":50},
% 0.19/0.40  {"length_penalty":100, "depth_penalty":100, "query_preference":0, "strategy":["negative_pref", "hornpref", "max_weight","prohibit_unordered_para"], "max_dseconds":50},
% 0.19/0.40  {"max_dseconds":50, "strategy":["negative_pref"], "query_preference":1, "var_weight":1, "repeat_var_weight":1},
% 0.19/0.40  {"max_dseconds":50, "strategy":["query_focus", "posunitpara"], "query_preference":1, "depth_penalty":50, "length_penalty":100},
% 0.19/0.40  {"depth_penalty":50, "query_preference":1, "strategy":["hardness_pref", "hornpref", "max_weight"], "max_dseconds":50},
% 0.19/0.40  {"rewrite":0, "depth_penalty":50, "query_preference":1, "strategy":["query_focus", "hornpref"], "max_dseconds":50},
% 0.19/0.40  {"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},
% 0.19/0.40  {"sine":1, "var_weight":70, "repeat_var_weight":70, "rewrite":0, "depth_penalty":50, "query_preference":0, "strategy":["hardness_pref"], "max_dseconds":50},
% 0.19/0.40  {"query_preference":1, "strategy":["unit", "max_weight"], "max_dseconds":50},
% 0.19/0.40  {"sine":1, "var_weight":70, "repeat_var_weight":70, "depth_penalty":50, "query_preference":1, "strategy":["unit"], "max_dseconds":50},
% 0.19/0.40  {"max_dseconds":50, "strategy":["query_focus"], "query_preference":1, "weight_select_ratio":30, "depth_penalty":100, "length_penalty":100},
% 0.19/0.40  {"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},
% 0.19/0.40  {"length_penalty":100, "query_preference":1, "strategy":["positive_pref", "posunitpara"], "max_dseconds":50},
% 0.19/0.40  {"sine":2, "query_preference":0, "strategy":["unit"], "max_dseconds":50},
% 0.19/0.40  {"weight_select_ratio":100, "rewrite":0, "depth_penalty":100, "query_preference":0, "strategy":["unit", "posunitpara"], "max_dseconds":50},
% 0.19/0.40  
% 0.19/0.40  {"max_dseconds":250, "strategy":["unit"], "query_preference":1},
% 0.19/0.40  {"max_dseconds":250, "strategy":["query_focus"], "query_preference":1},
% 0.19/0.40  {"max_dseconds":250, "strategy":["negative_pref"], "query_preference":1},
% 0.19/0.40  {"max_dseconds":250, "strategy":["unit"], "query_preference":0},
% 0.19/0.40  {"max_dseconds":250, "strategy":["negative_pref"], "query_preference":0},
% 0.19/0.40  {"max_dseconds":250, "strategy":["hardness_pref"], "query_preference":1},
% 0.19/0.40  {"max_dseconds":250, "strategy":["negative_pref"], "query_preference":0, "weight_select_ratio":100, "depth_penalty":100, "length_penalty":100},
% 0.19/0.40  {"max_dseconds":250, "strategy":["query_focus"], "query_preference":1, "var_weight":1, "weight_select_ratio":100, "repeat_var_weight":1},
% 0.19/0.40  {"max_dseconds":250, "strategy":["positive_pref"], "query_preference":0},
% 0.19/0.40  {"max_dseconds":250, "strategy":["negative_pref"], "query_preference":0, "max_depth":4},
% 0.19/0.40  {"max_dseconds":250, "strategy":["unit"], "query_preference":0, "var_weight":1, "depth_penalty":100, "repeat_var_weight":1},
% 0.19/0.40  {"max_dseconds":250, "strategy":["positive_pref"], "query_preference":0, "reverse_clauselist":1, "length_penalty":100},
% 0.19/0.40  {"max_dseconds":250, "strategy":["negative_pref", "prohibit_nested_para"], "query_preference":0},
% 0.19/0.40  {"max_dseconds":250, "strategy":["query_focus", "double"], "query_preference":1},
% 0.19/0.40  {"max_dseconds":250, "strategy":["unit"], "query_preference":1, "reverse_clauselist":1},
% 0.19/0.40  {"max_dseconds":250, "strategy":["unit"], "query_preference":0, "depth_penalty":100},
% 0.19/0.40  {"max_dseconds":250, "strategy":["hardness_pref"], "query_preference":0, "weight_select_ratio":20, "depth_penalty":50, "length_penalty":100},
% 0.19/0.40  {"max_dseconds":250, "strategy":["unit", "prohibit_nested_para"], "query_preference":1, "reverse_clauselist":1},
% 0.19/0.40  {"sine":1, "var_weight":70, "repeat_var_weight":70, "query_preference":0, "strategy":["negative_pref", "max_weight"], "max_dseconds":250},
% 0.19/0.40  {"max_dseconds":250, "strategy":["unit"], "query_preference":0, "rewrite":0},
% 0.19/0.40  {"max_dseconds":250, "strategy":["negative_pref"], "query_preference":0, "sine":1},
% 0.19/0.40  {"max_dseconds":250, "strategy":["negative_pref", "max_ground_weight"], "query_preference":0},
% 0.19/0.40  
% 0.19/0.40  {"max_dseconds":1250, "strategy":["unit"], "query_preference":1},
% 0.19/0.40  {"max_dseconds":1250, "strategy":["query_focus"], "query_preference":1},
% 0.19/0.40  {"max_dseconds":1250, "strategy":["negative_pref"], "query_preference":1},
% 0.19/0.40  {"max_dseconds":1250, "strategy":["unit"], "query_preference":0},
% 0.19/0.40  {"max_dseconds":1250, "strategy":["negative_pref"], "query_preference":0},
% 0.19/0.40  {"max_dseconds":1250, "strategy":["hardness_pref"], "query_preference":1},
% 0.19/0.40  {"max_dseconds":1250, "strategy":["negative_pref"], "query_preference":0, "weight_select_ratio":100, "depth_penalty":100, "length_penalty":100},
% 0.19/0.40  {"max_dseconds":1250, "strategy":["query_focus"], "query_preference":1, "var_weight":1, "weight_select_ratio":100, "repeat_var_weight":1},
% 0.19/0.40  {"max_dseconds":1250, "strategy":["positive_pref"], "query_preference":0},
% 0.19/0.40  {"max_dseconds":1250, "strategy":["negative_pref"], "query_preference":0, "max_depth":4},
% 0.19/0.40  {"max_dseconds":1250, "strategy":["unit"], "query_preference":0, "var_weight":1, "depth_penalty":100, "repeat_var_weight":1},
% 0.19/0.40  {"max_dseconds":1250, "strategy":["positive_pref"], "query_preference":0, "reverse_clauselist":1, "length_penalty":100},
% 0.19/0.40  {"max_dseconds":1250, "strategy":["negative_pref", "prohibit_nested_para"], "query_preference":0},
% 0.19/0.40  {"max_dseconds":1250, "strategy":["query_focus", "double"], "query_preference":1},
% 0.19/0.40  {"max_dseconds":1250, "strategy":["unit"], "query_preference":1, "reverse_clauselist":1},
% 0.19/0.40  {"max_dseconds":1250, "strategy":["unit"], "query_preference":0, "depth_penalty":100},
% 0.19/0.40  {"max_dseconds":1250, "strategy":["hardness_pref"], "query_preference":0, "weight_select_ratio":20, "depth_penalty":50, "length_penalty":100},
% 0.19/0.40  {"max_dseconds":1250, "strategy":["unit", "prohibit_nested_para"], "query_preference":1, "reverse_clauselist":1},
% 0.19/0.40  {"sine":1, "var_weight":70, "repeat_var_weight":70, "query_preference":0, "strategy":["negative_pref", "max_weight"], "max_dseconds":1250},
% 0.19/0.40  {"max_dseconds":1250, "strategy":["unit"], "query_preference":0, "rewrite":0},
% 0.19/0.40  {"max_dseconds":1250, "strategy":["negative_pref"], "query_preference":0, "sine":1} 
% 0.19/0.40  
% 0.19/0.40  ]}
% 0.19/0.40  
% 0.19/0.40  
% 0.19/0.40  **** run 1 fork 0 starts with strategy
% 0.19/0.40  {"max_dseconds":1,"strategy":["unit"],"query_preference":1}
% 0.19/0.40  
% 0.19/0.40  **** run 2 fork 1 starts with strategy
% 0.19/0.40  {"max_dseconds":1,"strategy":["query_focus"],"query_preference":1}
% 0.19/0.40  
% 0.19/0.40  **** run 3 fork 2 starts with strategy
% 0.19/0.40  {"max_dseconds":1,"strategy":["negative_pref"],"query_preference":1}
% 0.19/0.40  
% 0.19/0.40  **** run 4 fork 3 starts with strategy
% 0.19/0.40  {"max_dseconds":1,"sine":5,"strategy":["negative_pref"],"query_preference":1}
% 0.19/0.40  
% 0.19/0.40  **** run 5 fork 4 starts with strategy
% 0.19/0.40  {"max_dseconds":1,"strategy":["negative_pref","prohibit_unordered_para"],"query_preference":0}
% 0.19/0.40  
% 0.19/0.40  **** run 6 fork 5 starts with strategy
% 0.19/0.40  {"max_dseconds":1,"strategy":["unit","prohibit_unordered_para"],"query_preference":0}
% 0.19/0.40  
% 0.19/0.40  **** run 7 fork 6 starts with strategy
% 0.19/0.40  {"max_dseconds":1,"strategy":["unit","prohibit_unordered_para"],"query_preference":1}
% 0.19/0.40  
% 0.19/0.40  **** run 8 fork 7 starts with strategy
% 0.19/0.40  {"max_dseconds":1,"strategy":["unit","prohibit_nested_para","prohibit_deep_para","prohibit_unordered_para"],"query_preference":0}
% 0.19/0.52  
% 0.19/0.52  
% 0.19/0.52  fork 2: search terminated without proof.
% 0.19/0.53  
% 0.19/0.53  
% 0.19/0.53  fork 0: search terminated without proof.
% 0.19/0.53  
% 0.19/0.53  
% 0.19/0.53  fork 5: search terminated without proof.
% 0.19/0.53  
% 0.19/0.53  
% 0.19/0.53  fork 6: search terminated without proof.
% 0.19/0.53  
% 0.19/0.53  
% 0.19/0.53  fork 1: search terminated without proof.
% 0.19/0.54  
% 0.19/0.54  
% 0.19/0.54  fork 3: search terminated without proof.
% 0.19/0.55  
% 0.19/0.55  **** run 11 fork 2 starts with strategy
% 0.19/0.55  {"max_dseconds":1,"strategy":["negative_pref"],"query_preference":0}
% 0.19/0.55  
% 0.19/0.55  **** run 9 fork 0 starts with strategy
% 0.19/0.55  {"max_dseconds":1,"strategy":["negative_pref","prohibit_nested_para","prohibit_unordered_para","prohibit_deep_para"],"query_preference":0}
% 0.19/0.55  
% 0.19/0.55  **** run 15 fork 6 starts with strategy
% 0.19/0.55  {"max_dseconds":1,"strategy":["negative_pref","prohibit_unordered_para","prohibit_deep_para"],"query_preference":0}
% 0.19/0.55  
% 0.19/0.55  **** run 14 fork 5 starts with strategy
% 0.19/0.55  {"max_dseconds":1,"strategy":["hardness_pref","prohibit_deep_para"],"query_preference":1}
% 0.19/0.55  
% 0.19/0.55  **** run 10 fork 1 starts with strategy
% 0.19/0.55  {"max_dseconds":1,"strategy":["unit"],"query_preference":0}
% 0.19/0.56  
% 0.19/0.56  **** run 12 fork 3 starts with strategy
% 0.19/0.56  {"max_dseconds":1,"strategy":["hardness_pref"],"query_preference":1}
% 0.19/0.66  
% 0.19/0.66  
% 0.19/0.66  fork 2: search terminated without proof.
% 0.19/0.67  
% 0.19/0.67  
% 0.19/0.67  fork 5: search terminated without proof.
% 0.19/0.67  
% 0.19/0.67  
% 0.19/0.67  fork 1: search terminated without proof.
% 0.19/0.67  
% 0.19/0.67  
% 0.19/0.67  fork 3: search terminated without proof.
% 0.19/0.69  
% 0.19/0.69  **** run 22 fork 5 starts with strategy
% 0.19/0.69  {"max_dseconds":1,"strategy":["negative_pref","prohibit_nested_para"],"query_preference":0}
% 0.19/0.69  
% 0.19/0.69  **** run 19 fork 2 starts with strategy
% 0.19/0.69  {"max_dseconds":1,"strategy":["negative_pref"],"query_preference":0,"max_depth":4}
% 0.19/0.69  
% 0.19/0.69  **** run 18 fork 1 starts with strategy
% 0.19/0.69  {"max_dseconds":1,"strategy":["positive_pref"],"query_preference":0}
% 0.19/0.69  
% 0.19/0.69  **** run 20 fork 3 starts with strategy
% 0.19/0.69  {"max_dseconds":1,"strategy":["unit"],"query_preference":0,"var_weight":1,"depth_penalty":100,"repeat_var_weight":1}
% 2.22/0.79  
% 2.22/0.79  
% 2.22/0.79  result: proof found
% 2.22/0.79  for /export/starexec/sandbox2/benchmark/theBenchmark.p 
% 2.22/0.79  by run 5 fork 4 strategy {"max_dseconds":1,"strategy":["negative_pref","prohibit_unordered_para"],"query_preference":0}
% 2.22/0.79  % SZS status Unsatisfiable for /export/starexec/sandbox2/benchmark/theBenchmark.p 
% 2.22/0.79  
% 2.22/0.79  % SZS output start CNFRefutation for /export/starexec/sandbox2/benchmark/theBenchmark.p 
% See solution above
% 2.22/0.79  
% 2.22/0.79  run 5 fork 4 statistics:
% 2.22/0.79  ----------------------------------
% 2.22/0.79  this run seconds: 0.082383
% 2.22/0.79  total seconds: 0.111992
% 2.22/0.79  stat_given_used: 543
% 2.22/0.79  stat_given_used_at_endgame: 0
% 2.22/0.79  stat_given_candidates:   1196
% 2.22/0.79  stat_given_candidates_at_endgame: 0
% 2.22/0.79  stat_given_candidates_h: 0
% 2.22/0.79  stat_binres_derived_cl:   0
% 2.22/0.79  stat_binres_derived_cl_h: 0
% 2.22/0.79  stat_factor_derived_cl: 1
% 2.22/0.79  stat_para_derived_cl: 5777
% 2.22/0.79  stat_tautologies_discarded: 0
% 2.22/0.79  stat_forward_subsumed: 130
% 2.22/0.79  stat_derived_cut: 1
% 2.22/0.79  stat_derived_rewritten: 188
% 2.22/0.79  stat_weight_discarded_building: 0
% 2.22/0.79  stat_weight_discarded_cl: 560
% 2.22/0.79  stat_internlimit_discarded_cl: 0
% 2.22/0.79  stat_simplified:  188 simplified 0 derived 0 given
% 2.22/0.79  stat_kept_cl: 3733
% 2.22/0.79  stat_built_cl: 5566
% 2.22/0.79  stat_hyperres_partial_cl: 0
% 2.22/0.79  stat_made_rewriters: 302
% 2.22/0.79  stat_backward_subsumed: 0
% 2.22/0.79  stat_propagated_subsumed: 0
% 2.22/0.79  stat_clsubs_attempted:                      2201
% 2.22/0.79  stat_clsubs_fact_groundunit_found:             0
% 2.22/0.79  stat_clsubs_rule_groundunit_found:             1
% 2.22/0.79  stat_clsubs_top_meta_attempted:              72681
% 2.22/0.79  stat_clsubs_top_meta_failed:                 70480
% 2.22/0.79  stat_clsubs_top_meta_nonpref_attempted:               72681
% 2.22/0.79  stat_clsubs_top_meta_nonpref_succeeded:               13952
% 2.22/0.79  stat_clsubs_top_meta_pref_attempted:                  13952
% 2.22/0.79  stat_clsubs_top_meta_pref1_succeeded:                 13952
% 2.22/0.79  stat_clsubs_top_meta_pref2_succeeded:                  2624
% 2.22/0.79  stat_clsubs_top_meta_pref3_succeeded:                  2201
% 2.22/0.79  stat_clsubs_top_meta_pref_succeeded:                   2201
% 2.22/0.79  stat_clsubs_meta_attempted:                 2509
% 2.22/0.79  stat_clsubs_meta_failed:                    2171
% 2.22/0.79  stat_clsubs_predsymbs_attempted:               0
% 2.22/0.79  stat_clsubs_unit_attempted:                 1911
% 2.22/0.79  stat_clsubs_full_attempted:                  290
% 2.22/0.79  stat_forwardsubs_attempted:                 4423
% 2.22/0.79  stat_lit_hash_added:                   4972
% 2.22/0.79  stat_lit_hash_computed:               15412
% 2.22/0.79  stat_lit_hash_match_found:              132
% 2.22/0.79  stat_lit_hash_match_miss:             19230
% 2.22/0.79  stat_lit_hash_cut_ok:                     1
% 2.22/0.79  stat_lit_strong_cut_ok:                   0
% 2.22/0.79  stat_lit_hash_subsume_ok:               130
% 2.22/0.79  clqueue els 10000000 used 1
% 2.22/0.79  clactive els 10000000 used 544
% 2.22/0.79  clactivesubsume els 10000000 used 1447
% 2.22/0.79  queue_termbuf els 200000000 used 284816
% 2.22/0.79  hyper_termbuf els 100000000 used 1
% 2.22/0.79  active_termbuf els 100000000 used 17448
% 2.22/0.79  varstack els 5000 last used 1
% 2.22/0.79  given_termbuf els 10000000 last used 1
% 2.22/0.79  simplified_termbuf els 10000000 last used 1
% 2.22/0.79  derived_termbuf els 10000000 last used 3
% 2.22/0.79  wr_mallocs: 14776
% 2.22/0.79  wr_callocs: 21
% 2.22/0.79  wr_reallocs: 668
% 2.22/0.79  wr_frees: 2
% 2.22/0.79  wr_malloc_bytes: 4163105316
% 2.22/0.79  wr_calloc_bytes: 112065536
% 2.22/0.79  wr_realloc_bytes: 180720
% 2.22/0.79  wr_realloc_freebytes: 0
% 2.22/0.79  ----------------------------------
%------------------------------------------------------------------------------