TSTP Solution File: PUZ016-2.005 by GKC---0.8
View Problem
- Process Solution
%------------------------------------------------------------------------------
% File : GKC---0.8
% Problem : PUZ016-2.005 : TPTP v8.1.2. Released v1.2.0.
% Transfm : none
% Format : tptp:raw
% Command : gkc %s
% Computer : n018.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 13:18:42 EDT 2023
% Result : Unsatisfiable 0.22s 0.56s
% Output : CNFRefutation 0.22s
% Verified :
% SZS Type : ERROR: Analysing output (Could not find formula named covered_5_3)
% Comments :
%------------------------------------------------------------------------------
cnf('1',plain,
( $pr(horizontal_5_2)
| $pr(horizontal_5_3)
| $pr(vertical_4_3) ),
inference(cnf_transformation,[],[covered_5_3]) ).
cnf('2',plain,
( ~ $pr(horizontal_5_3)
| ~ $pr(vertical_4_4) ),
inference(cnf_transformation,[],[unique_cover6_5_4]) ).
cnf('3',plain,
( ~ $pr(vertical_4_4)
| $pr(horizontal_5_2)
| $pr(vertical_4_3) ),
inference(resolution,[],['1','2']) ).
cnf('4',plain,
( $pr(horizontal_4_3)
| $pr(horizontal_4_4)
| $pr(vertical_3_4)
| $pr(vertical_4_4) ),
inference(cnf_transformation,[],[covered_4_4]) ).
cnf('5',plain,
( $pr(horizontal_4_3)
| $pr(horizontal_4_4)
| $pr(vertical_3_4)
| $pr(horizontal_5_2)
| $pr(vertical_4_3) ),
inference(resolution,[],['3','4']) ).
cnf('6',plain,
( ~ $pr(horizontal_5_2)
| ~ $pr(vertical_4_2) ),
inference(cnf_transformation,[],[unique_cover3_5_2]) ).
cnf('7',plain,
( ~ $pr(vertical_4_2)
| $pr(horizontal_4_3)
| $pr(horizontal_4_4)
| $pr(vertical_3_4)
| $pr(vertical_4_3) ),
inference(resolution,[],['5','6']) ).
cnf('8',plain,
( $pr(horizontal_4_1)
| $pr(horizontal_4_2)
| $pr(vertical_3_2)
| $pr(vertical_4_2) ),
inference(cnf_transformation,[],[covered_4_2]) ).
cnf('9',plain,
( $pr(horizontal_4_1)
| $pr(horizontal_4_2)
| $pr(horizontal_4_3)
| $pr(horizontal_4_4)
| $pr(vertical_3_4)
| $pr(vertical_3_2)
| $pr(vertical_4_3) ),
inference(resolution,[],['7','8']) ).
cnf('10',plain,
( ~ $pr(horizontal_4_4)
| ~ $pr(vertical_4_5) ),
inference(cnf_transformation,[],[unique_cover4_4_5]) ).
cnf('11',plain,
( ~ $pr(vertical_4_5)
| $pr(horizontal_4_1)
| $pr(horizontal_4_2)
| $pr(horizontal_4_3)
| $pr(vertical_3_4)
| $pr(vertical_3_2)
| $pr(vertical_4_3) ),
inference(resolution,[],['9','10']) ).
cnf('12',plain,
( ~ $pr(horizontal_5_3)
| ~ $pr(horizontal_5_4) ),
inference(cnf_transformation,[],[unique_cover2_5_4]) ).
cnf('13',plain,
( ~ $pr(horizontal_5_4)
| $pr(horizontal_5_2)
| $pr(vertical_4_3) ),
inference(resolution,[],['1','12']) ).
cnf('14',plain,
( $pr(horizontal_5_4)
| $pr(vertical_4_5) ),
inference(cnf_transformation,[],[covered_5_5]) ).
cnf('15',plain,
( $pr(horizontal_5_2)
| $pr(vertical_4_5)
| $pr(vertical_4_3) ),
inference(resolution,[],['13','14']) ).
cnf('16',plain,
( ~ $pr(vertical_4_2)
| $pr(vertical_4_5)
| $pr(vertical_4_3) ),
inference(resolution,[],['15','6']) ).
cnf('17',plain,
( $pr(horizontal_4_1)
| $pr(horizontal_4_2)
| $pr(vertical_3_2)
| $pr(vertical_4_5)
| $pr(vertical_4_3) ),
inference(resolution,[],['16','8']) ).
cnf('18',plain,
( $pr(horizontal_4_1)
| $pr(horizontal_4_2)
| $pr(horizontal_4_3)
| $pr(vertical_3_4)
| $pr(vertical_3_2)
| $pr(vertical_4_3) ),
inference(resolution,[],['11','17']) ).
cnf('19',plain,
( $pr(vertical_3_3)
| $pr(vertical_2_3)
| $pr(horizontal_3_2)
| $pr(horizontal_3_3) ),
inference(cnf_transformation,[],[covered_3_3]) ).
cnf('20',plain,
( ~ $pr(vertical_3_3)
| ~ $pr(vertical_4_3) ),
inference(cnf_transformation,[],[unique_cover5_4_3]) ).
cnf('21',plain,
( ~ $pr(vertical_4_3)
| $pr(vertical_2_3)
| $pr(horizontal_3_2)
| $pr(horizontal_3_3) ),
inference(resolution,[],['19','20']) ).
cnf('22',plain,
( $pr(horizontal_4_1)
| $pr(horizontal_4_2)
| $pr(horizontal_4_3)
| $pr(vertical_3_4)
| $pr(vertical_3_2)
| $pr(vertical_2_3)
| $pr(horizontal_3_2)
| $pr(horizontal_3_3) ),
inference(resolution,[],['18','21']) ).
cnf('23',plain,
( ~ $pr(horizontal_4_3)
| ~ $pr(vertical_3_3) ),
inference(cnf_transformation,[],[unique_cover3_4_3]) ).
cnf('24',plain,
( $pr(horizontal_4_1)
| $pr(horizontal_4_2)
| $pr(vertical_3_4)
| $pr(vertical_3_2)
| $pr(vertical_2_3)
| $pr(horizontal_3_2)
| $pr(horizontal_3_3)
| ~ $pr(vertical_3_3) ),
inference(resolution,[],['22','23']) ).
cnf('25',plain,
( ~ $pr(horizontal_4_2)
| ~ $pr(vertical_3_3) ),
inference(cnf_transformation,[],[unique_cover6_4_3]) ).
cnf('26',plain,
( ~ $pr(vertical_3_3)
| $pr(horizontal_4_1)
| $pr(vertical_3_4)
| $pr(vertical_3_2)
| $pr(vertical_2_3)
| $pr(horizontal_3_2)
| $pr(horizontal_3_3) ),
inference(simplify,[],['24','25']) ).
cnf('27',plain,
( ~ $pr(vertical_3_3)
| ~ $pr(vertical_2_3) ),
inference(cnf_transformation,[],[unique_cover5_3_3]) ).
cnf('28',plain,
( ~ $pr(vertical_3_3)
| $pr(horizontal_4_1)
| $pr(vertical_3_4)
| $pr(vertical_3_2)
| $pr(horizontal_3_2)
| $pr(horizontal_3_3) ),
inference(simplify,[],['26','27']) ).
cnf('29',plain,
( $pr(horizontal_4_1)
| $pr(vertical_3_4)
| $pr(vertical_3_2)
| $pr(vertical_2_3)
| $pr(horizontal_3_2)
| $pr(horizontal_3_3) ),
inference(resolution,[],['28','19']) ).
cnf('30',plain,
( ~ $pr(horizontal_4_1)
| ~ $pr(vertical_4_1) ),
inference(cnf_transformation,[],[unique_cover1_4_1]) ).
cnf('31',plain,
( ~ $pr(vertical_4_1)
| $pr(vertical_3_4)
| $pr(vertical_3_2)
| $pr(vertical_2_3)
| $pr(horizontal_3_2)
| $pr(horizontal_3_3) ),
inference(resolution,[],['29','30']) ).
cnf('32',plain,
( ~ $pr(horizontal_5_1)
| ~ $pr(horizontal_5_2) ),
inference(cnf_transformation,[],[unique_cover2_5_2]) ).
cnf('33',plain,
( $pr(horizontal_5_1)
| $pr(vertical_4_1) ),
inference(cnf_transformation,[],[covered_5_1]) ).
cnf('34',plain,
( ~ $pr(horizontal_5_2)
| $pr(vertical_4_1) ),
inference(resolution,[],['32','33']) ).
cnf('35',plain,
( $pr(horizontal_4_3)
| $pr(horizontal_4_4)
| $pr(vertical_3_4)
| $pr(vertical_4_3)
| $pr(vertical_4_1) ),
inference(resolution,[],['5','34']) ).
cnf('36',plain,
( ~ $pr(vertical_4_5)
| $pr(horizontal_4_3)
| $pr(vertical_3_4)
| $pr(vertical_4_3)
| $pr(vertical_4_1) ),
inference(resolution,[],['35','10']) ).
cnf('37',plain,
( $pr(vertical_4_5)
| $pr(vertical_4_3)
| $pr(vertical_4_1) ),
inference(resolution,[],['15','34']) ).
cnf('38',plain,
( $pr(horizontal_4_3)
| $pr(vertical_3_4)
| $pr(vertical_4_3)
| $pr(vertical_4_1) ),
inference(resolution,[],['36','37']) ).
cnf('39',plain,
( $pr(horizontal_4_3)
| $pr(vertical_3_4)
| $pr(vertical_2_3)
| $pr(vertical_4_1)
| $pr(horizontal_3_2)
| $pr(horizontal_3_3) ),
inference(resolution,[],['38','21']) ).
cnf('40',plain,
( $pr(vertical_3_4)
| $pr(vertical_2_3)
| $pr(vertical_4_1)
| $pr(horizontal_3_2)
| $pr(horizontal_3_3)
| ~ $pr(vertical_3_3) ),
inference(resolution,[],['39','23']) ).
cnf('41',plain,
( ~ $pr(vertical_3_3)
| $pr(vertical_3_4)
| $pr(vertical_4_1)
| $pr(horizontal_3_2)
| $pr(horizontal_3_3) ),
inference(simplify,[],['40','27']) ).
cnf('42',plain,
( ~ $pr(vertical_3_3)
| ~ $pr(horizontal_3_2) ),
inference(cnf_transformation,[],[unique_cover4_3_3]) ).
cnf('43',plain,
( ~ $pr(vertical_3_3)
| $pr(vertical_3_4)
| $pr(vertical_4_1)
| $pr(horizontal_3_3) ),
inference(simplify,[],['41','42']) ).
cnf('44',plain,
( $pr(vertical_3_4)
| $pr(vertical_2_3)
| $pr(vertical_4_1)
| $pr(horizontal_3_2)
| $pr(horizontal_3_3) ),
inference(resolution,[],['43','19']) ).
cnf('45',plain,
( $pr(vertical_3_4)
| $pr(vertical_3_2)
| $pr(vertical_2_3)
| $pr(horizontal_3_2)
| $pr(horizontal_3_3) ),
inference(resolution,[],['31','44']) ).
cnf('46',plain,
( ~ $pr(vertical_3_4)
| ~ $pr(vertical_2_4) ),
inference(cnf_transformation,[],[unique_cover5_3_4]) ).
cnf('47',plain,
( $pr(vertical_3_2)
| $pr(vertical_2_3)
| $pr(horizontal_3_2)
| $pr(horizontal_3_3)
| ~ $pr(vertical_2_4) ),
inference(resolution,[],['45','46']) ).
cnf('48',plain,
( ~ $pr(vertical_2_4)
| ~ $pr(horizontal_3_3) ),
inference(cnf_transformation,[],[unique_cover6_3_4]) ).
cnf('49',plain,
( ~ $pr(vertical_2_4)
| $pr(vertical_3_2)
| $pr(vertical_2_3)
| $pr(horizontal_3_2) ),
inference(simplify,[],['47','48']) ).
cnf('50',plain,
( $pr(vertical_2_4)
| $pr(horizontal_2_3)
| $pr(horizontal_2_4)
| $pr(vertical_1_4) ),
inference(cnf_transformation,[],[covered_2_4]) ).
cnf('51',plain,
( $pr(vertical_3_2)
| $pr(vertical_2_3)
| $pr(horizontal_2_3)
| $pr(horizontal_2_4)
| $pr(vertical_1_4)
| $pr(horizontal_3_2) ),
inference(resolution,[],['49','50']) ).
cnf('52',plain,
( ~ $pr(vertical_3_4)
| ~ $pr(horizontal_3_4) ),
inference(cnf_transformation,[],[unique_cover1_3_4]) ).
cnf('53',plain,
( $pr(vertical_3_2)
| $pr(vertical_2_3)
| $pr(horizontal_3_2)
| $pr(horizontal_3_3)
| ~ $pr(horizontal_3_4) ),
inference(resolution,[],['45','52']) ).
cnf('54',plain,
( ~ $pr(horizontal_3_3)
| ~ $pr(horizontal_3_4) ),
inference(cnf_transformation,[],[unique_cover2_3_4]) ).
cnf('55',plain,
( ~ $pr(horizontal_3_4)
| $pr(vertical_3_2)
| $pr(vertical_2_3)
| $pr(horizontal_3_2) ),
inference(simplify,[],['53','54']) ).
cnf('56',plain,
( $pr(vertical_3_5)
| $pr(vertical_2_5)
| $pr(horizontal_3_4) ),
inference(cnf_transformation,[],[covered_3_5]) ).
cnf('57',plain,
( ~ $pr(vertical_3_5)
| ~ $pr(vertical_4_5) ),
inference(cnf_transformation,[],[unique_cover5_4_5]) ).
cnf('58',plain,
( ~ $pr(vertical_4_5)
| $pr(vertical_2_5)
| $pr(horizontal_3_4) ),
inference(resolution,[],['56','57']) ).
cnf('59',plain,
( $pr(horizontal_4_1)
| $pr(horizontal_4_2)
| $pr(vertical_3_2)
| $pr(vertical_2_5)
| $pr(vertical_4_3)
| $pr(horizontal_3_4) ),
inference(resolution,[],['17','58']) ).
cnf('60',plain,
( $pr(horizontal_4_1)
| $pr(horizontal_4_2)
| $pr(vertical_3_2)
| $pr(vertical_2_5)
| $pr(vertical_2_3)
| $pr(horizontal_3_2)
| $pr(horizontal_3_3)
| $pr(horizontal_3_4) ),
inference(resolution,[],['59','21']) ).
cnf('61',plain,
( ~ $pr(horizontal_4_2)
| ~ $pr(vertical_3_3) ),
inference(cnf_transformation,[],[unique_cover6_4_3]) ).
cnf('62',plain,
( $pr(horizontal_4_1)
| $pr(vertical_3_2)
| $pr(vertical_2_5)
| $pr(vertical_2_3)
| $pr(horizontal_3_2)
| $pr(horizontal_3_3)
| $pr(horizontal_3_4)
| ~ $pr(vertical_3_3) ),
inference(resolution,[],['60','61']) ).
cnf('63',plain,
( ~ $pr(vertical_3_3)
| $pr(horizontal_4_1)
| $pr(vertical_3_2)
| $pr(vertical_2_5)
| $pr(horizontal_3_2)
| $pr(horizontal_3_3)
| $pr(horizontal_3_4) ),
inference(simplify,[],['62','27']) ).
cnf('64',plain,
( ~ $pr(vertical_3_3)
| $pr(horizontal_4_1)
| $pr(vertical_3_2)
| $pr(vertical_2_5)
| $pr(horizontal_3_3)
| $pr(horizontal_3_4) ),
inference(simplify,[],['63','42']) ).
cnf('65',plain,
( $pr(horizontal_4_1)
| $pr(vertical_3_2)
| $pr(vertical_2_5)
| $pr(vertical_2_3)
| $pr(horizontal_3_2)
| $pr(horizontal_3_3)
| $pr(horizontal_3_4) ),
inference(resolution,[],['64','19']) ).
cnf('66',plain,
( ~ $pr(vertical_4_1)
| $pr(vertical_3_2)
| $pr(vertical_2_5)
| $pr(vertical_2_3)
| $pr(horizontal_3_2)
| $pr(horizontal_3_3)
| $pr(horizontal_3_4) ),
inference(resolution,[],['65','30']) ).
cnf('67',plain,
( $pr(vertical_2_5)
| $pr(vertical_4_3)
| $pr(vertical_4_1)
| $pr(horizontal_3_4) ),
inference(resolution,[],['37','58']) ).
cnf('68',plain,
( $pr(vertical_2_5)
| $pr(vertical_2_3)
| $pr(vertical_4_1)
| $pr(horizontal_3_2)
| $pr(horizontal_3_3)
| $pr(horizontal_3_4) ),
inference(resolution,[],['67','21']) ).
cnf('69',plain,
( $pr(vertical_3_2)
| $pr(vertical_2_5)
| $pr(vertical_2_3)
| $pr(horizontal_3_2)
| $pr(horizontal_3_3)
| $pr(horizontal_3_4) ),
inference(resolution,[],['66','68']) ).
cnf('70',plain,
( $pr(vertical_3_2)
| $pr(vertical_2_5)
| $pr(vertical_2_3)
| $pr(horizontal_3_2)
| $pr(horizontal_3_3) ),
inference(resolution,[],['55','69']) ).
cnf('71',plain,
( ~ $pr(horizontal_5_4)
| ~ $pr(vertical_4_4) ),
inference(cnf_transformation,[],[unique_cover3_5_4]) ).
cnf('72',plain,
( ~ $pr(vertical_4_4)
| $pr(vertical_4_5) ),
inference(resolution,[],['71','14']) ).
cnf('73',plain,
( $pr(horizontal_4_3)
| $pr(horizontal_4_4)
| $pr(vertical_3_4)
| $pr(vertical_4_5) ),
inference(resolution,[],['72','4']) ).
cnf('74',plain,
( $pr(horizontal_4_3)
| $pr(horizontal_4_4)
| $pr(vertical_3_4)
| $pr(vertical_2_5)
| $pr(horizontal_3_4) ),
inference(resolution,[],['73','58']) ).
cnf('75',plain,
( ~ $pr(horizontal_4_4)
| ~ $pr(vertical_3_5) ),
inference(cnf_transformation,[],[unique_cover6_4_5]) ).
cnf('76',plain,
( $pr(horizontal_4_3)
| $pr(vertical_3_4)
| $pr(vertical_2_5)
| $pr(horizontal_3_4)
| ~ $pr(vertical_3_5) ),
inference(resolution,[],['74','75']) ).
cnf('77',plain,
( ~ $pr(vertical_3_5)
| ~ $pr(vertical_2_5) ),
inference(cnf_transformation,[],[unique_cover5_3_5]) ).
cnf('78',plain,
( ~ $pr(vertical_3_5)
| $pr(horizontal_4_3)
| $pr(vertical_3_4)
| $pr(horizontal_3_4) ),
inference(simplify,[],['76','77']) ).
cnf('79',plain,
( ~ $pr(vertical_3_5)
| ~ $pr(horizontal_3_4) ),
inference(cnf_transformation,[],[unique_cover4_3_5]) ).
cnf('80',plain,
( ~ $pr(vertical_3_5)
| $pr(horizontal_4_3)
| $pr(vertical_3_4) ),
inference(simplify,[],['78','79']) ).
cnf('81',plain,
( $pr(horizontal_4_3)
| $pr(vertical_3_4)
| $pr(vertical_2_5)
| $pr(horizontal_3_4) ),
inference(resolution,[],['80','56']) ).
cnf('82',plain,
( ~ $pr(horizontal_4_3)
| ~ $pr(vertical_4_3) ),
inference(cnf_transformation,[],[unique_cover1_4_3]) ).
cnf('83',plain,
( ~ $pr(vertical_4_3)
| $pr(vertical_3_4)
| $pr(vertical_2_5)
| $pr(horizontal_3_4) ),
inference(resolution,[],['81','82']) ).
cnf('84',plain,
( $pr(horizontal_4_1)
| $pr(horizontal_4_2)
| $pr(vertical_3_4)
| $pr(vertical_3_2)
| $pr(vertical_2_5)
| $pr(horizontal_3_4) ),
inference(resolution,[],['59','83']) ).
cnf('85',plain,
( ~ $pr(horizontal_4_2)
| ~ $pr(horizontal_4_3) ),
inference(cnf_transformation,[],[unique_cover2_4_3]) ).
cnf('86',plain,
( $pr(horizontal_4_1)
| $pr(vertical_3_4)
| $pr(vertical_3_2)
| $pr(vertical_2_5)
| $pr(horizontal_3_4)
| ~ $pr(horizontal_4_3) ),
inference(resolution,[],['84','85']) ).
cnf('87',plain,
( ~ $pr(horizontal_4_3)
| ~ $pr(vertical_3_4) ),
inference(cnf_transformation,[],[unique_cover6_4_4]) ).
cnf('88',plain,
( ~ $pr(horizontal_4_3)
| $pr(horizontal_4_1)
| $pr(vertical_3_2)
| $pr(vertical_2_5)
| $pr(horizontal_3_4) ),
inference(simplify,[],['86','87']) ).
cnf('89',plain,
( $pr(horizontal_4_1)
| $pr(vertical_3_4)
| $pr(vertical_3_2)
| $pr(vertical_2_5)
| $pr(horizontal_3_4) ),
inference(resolution,[],['88','81']) ).
cnf('90',plain,
( ~ $pr(vertical_4_1)
| $pr(vertical_3_4)
| $pr(vertical_3_2)
| $pr(vertical_2_5)
| $pr(horizontal_3_4) ),
inference(resolution,[],['89','30']) ).
cnf('91',plain,
( $pr(vertical_3_4)
| $pr(vertical_2_5)
| $pr(vertical_4_1)
| $pr(horizontal_3_4) ),
inference(resolution,[],['83','67']) ).
cnf('92',plain,
( $pr(vertical_3_4)
| $pr(vertical_3_2)
| $pr(vertical_2_5)
| $pr(horizontal_3_4) ),
inference(resolution,[],['90','91']) ).
cnf('93',plain,
( ~ $pr(vertical_3_4)
| ~ $pr(horizontal_3_3) ),
inference(cnf_transformation,[],[unique_cover4_3_4]) ).
cnf('94',plain,
( $pr(vertical_3_2)
| $pr(vertical_2_5)
| $pr(horizontal_3_4)
| ~ $pr(horizontal_3_3) ),
inference(resolution,[],['92','93']) ).
cnf('95',plain,
( ~ $pr(horizontal_3_3)
| $pr(vertical_3_2)
| $pr(vertical_2_5) ),
inference(simplify,[],['94','54']) ).
cnf('96',plain,
( $pr(vertical_3_2)
| $pr(vertical_2_5)
| $pr(vertical_2_3)
| $pr(horizontal_3_2) ),
inference(resolution,[],['70','95']) ).
cnf('97',plain,
( ~ $pr(vertical_3_2)
| ~ $pr(horizontal_3_1) ),
inference(cnf_transformation,[],[unique_cover4_3_2]) ).
cnf('98',plain,
( $pr(vertical_2_5)
| $pr(vertical_2_3)
| $pr(horizontal_3_2)
| ~ $pr(horizontal_3_1) ),
inference(resolution,[],['96','97']) ).
cnf('99',plain,
( ~ $pr(horizontal_3_1)
| ~ $pr(horizontal_3_2) ),
inference(cnf_transformation,[],[unique_cover2_3_2]) ).
cnf('100',plain,
( ~ $pr(horizontal_3_1)
| $pr(vertical_2_5)
| $pr(vertical_2_3) ),
inference(simplify,[],['98','99']) ).
cnf('101',plain,
( $pr(vertical_3_1)
| $pr(vertical_2_1)
| $pr(horizontal_3_1) ),
inference(cnf_transformation,[],[covered_3_1]) ).
cnf('102',plain,
( ~ $pr(vertical_3_1)
| ~ $pr(vertical_4_1) ),
inference(cnf_transformation,[],[unique_cover5_4_1]) ).
cnf('103',plain,
( ~ $pr(vertical_4_1)
| $pr(vertical_2_1)
| $pr(horizontal_3_1) ),
inference(resolution,[],['101','102']) ).
cnf('104',plain,
( $pr(vertical_2_5)
| $pr(vertical_2_3)
| $pr(vertical_2_1)
| $pr(horizontal_3_1)
| $pr(horizontal_3_2)
| $pr(horizontal_3_3)
| $pr(horizontal_3_4) ),
inference(resolution,[],['68','103']) ).
cnf('105',plain,
( $pr(vertical_3_4)
| $pr(vertical_2_3)
| $pr(vertical_2_1)
| $pr(horizontal_3_1)
| $pr(horizontal_3_2)
| $pr(horizontal_3_3) ),
inference(resolution,[],['44','103']) ).
cnf('106',plain,
( $pr(vertical_2_3)
| $pr(vertical_2_1)
| $pr(horizontal_3_1)
| $pr(horizontal_3_2)
| $pr(horizontal_3_3)
| ~ $pr(horizontal_3_4) ),
inference(resolution,[],['105','52']) ).
cnf('107',plain,
( ~ $pr(horizontal_3_4)
| $pr(vertical_2_3)
| $pr(vertical_2_1)
| $pr(horizontal_3_1)
| $pr(horizontal_3_2) ),
inference(simplify,[],['106','54']) ).
cnf('108',plain,
( $pr(vertical_2_5)
| $pr(vertical_2_3)
| $pr(vertical_2_1)
| $pr(horizontal_3_1)
| $pr(horizontal_3_2)
| $pr(horizontal_3_3) ),
inference(resolution,[],['104','107']) ).
cnf('109',plain,
( $pr(vertical_3_4)
| $pr(vertical_2_5)
| $pr(vertical_2_1)
| $pr(horizontal_3_1)
| $pr(horizontal_3_4) ),
inference(resolution,[],['91','103']) ).
cnf('110',plain,
( $pr(vertical_2_5)
| $pr(vertical_2_1)
| $pr(horizontal_3_1)
| $pr(horizontal_3_4)
| ~ $pr(horizontal_3_3) ),
inference(resolution,[],['109','93']) ).
cnf('111',plain,
( ~ $pr(horizontal_3_3)
| $pr(vertical_2_5)
| $pr(vertical_2_1)
| $pr(horizontal_3_1) ),
inference(simplify,[],['110','54']) ).
cnf('112',plain,
( $pr(vertical_2_5)
| $pr(vertical_2_3)
| $pr(vertical_2_1)
| $pr(horizontal_3_1)
| $pr(horizontal_3_2) ),
inference(resolution,[],['108','111']) ).
cnf('113',plain,
( ~ $pr(horizontal_5_1)
| ~ $pr(vertical_4_2) ),
inference(cnf_transformation,[],[unique_cover6_5_2]) ).
cnf('114',plain,
( ~ $pr(vertical_4_2)
| $pr(vertical_4_1) ),
inference(resolution,[],['113','33']) ).
cnf('115',plain,
( $pr(horizontal_4_1)
| $pr(horizontal_4_2)
| $pr(vertical_3_2)
| $pr(vertical_4_1) ),
inference(resolution,[],['114','8']) ).
cnf('116',plain,
( ~ $pr(horizontal_4_2)
| ~ $pr(vertical_4_3) ),
inference(cnf_transformation,[],[unique_cover4_4_3]) ).
cnf('117',plain,
( ~ $pr(vertical_4_3)
| $pr(horizontal_4_1)
| $pr(vertical_3_2)
| $pr(vertical_4_1) ),
inference(resolution,[],['115','116']) ).
cnf('118',plain,
( $pr(horizontal_4_1)
| $pr(vertical_3_2)
| $pr(vertical_2_5)
| $pr(vertical_4_1)
| $pr(horizontal_3_4) ),
inference(resolution,[],['117','67']) ).
cnf('119',plain,
( $pr(horizontal_4_1)
| $pr(vertical_3_2)
| $pr(vertical_2_5)
| $pr(vertical_2_1)
| $pr(horizontal_3_1)
| $pr(horizontal_3_4) ),
inference(resolution,[],['118','103']) ).
cnf('120',plain,
( ~ $pr(horizontal_4_1)
| ~ $pr(vertical_3_1) ),
inference(cnf_transformation,[],[unique_cover3_4_1]) ).
cnf('121',plain,
( $pr(vertical_3_2)
| $pr(vertical_2_5)
| $pr(vertical_2_1)
| $pr(horizontal_3_1)
| $pr(horizontal_3_4)
| ~ $pr(vertical_3_1) ),
inference(resolution,[],['119','120']) ).
cnf('122',plain,
( ~ $pr(vertical_3_1)
| ~ $pr(vertical_2_1) ),
inference(cnf_transformation,[],[unique_cover5_3_1]) ).
cnf('123',plain,
( ~ $pr(vertical_3_1)
| $pr(vertical_3_2)
| $pr(vertical_2_5)
| $pr(horizontal_3_1)
| $pr(horizontal_3_4) ),
inference(simplify,[],['121','122']) ).
cnf('124',plain,
( ~ $pr(vertical_3_1)
| ~ $pr(horizontal_3_1) ),
inference(cnf_transformation,[],[unique_cover1_3_1]) ).
cnf('125',plain,
( ~ $pr(vertical_3_1)
| $pr(vertical_3_2)
| $pr(vertical_2_5)
| $pr(horizontal_3_4) ),
inference(simplify,[],['123','124']) ).
cnf('126',plain,
( $pr(vertical_3_2)
| $pr(vertical_2_5)
| $pr(vertical_2_1)
| $pr(horizontal_3_1)
| $pr(horizontal_3_4) ),
inference(resolution,[],['125','101']) ).
cnf('127',plain,
( $pr(horizontal_4_1)
| $pr(horizontal_4_3)
| $pr(vertical_3_4)
| $pr(vertical_3_2)
| $pr(vertical_4_1) ),
inference(resolution,[],['38','117']) ).
cnf('128',plain,
( ~ $pr(horizontal_4_3)
| $pr(horizontal_4_1)
| $pr(vertical_3_2)
| $pr(vertical_4_1) ),
inference(resolution,[],['115','85']) ).
cnf('129',plain,
( $pr(horizontal_4_1)
| $pr(vertical_3_4)
| $pr(vertical_3_2)
| $pr(vertical_4_1) ),
inference(resolution,[],['127','128']) ).
cnf('130',plain,
( $pr(horizontal_4_1)
| $pr(vertical_3_4)
| $pr(vertical_3_2)
| $pr(vertical_2_1)
| $pr(horizontal_3_1) ),
inference(resolution,[],['129','103']) ).
cnf('131',plain,
( $pr(vertical_3_4)
| $pr(vertical_3_2)
| $pr(vertical_2_1)
| $pr(horizontal_3_1)
| ~ $pr(vertical_3_1) ),
inference(resolution,[],['130','120']) ).
cnf('132',plain,
( ~ $pr(vertical_3_1)
| $pr(vertical_3_4)
| $pr(vertical_3_2)
| $pr(horizontal_3_1) ),
inference(simplify,[],['131','122']) ).
cnf('133',plain,
( ~ $pr(vertical_3_1)
| $pr(vertical_3_4)
| $pr(vertical_3_2) ),
inference(simplify,[],['132','124']) ).
cnf('134',plain,
( $pr(vertical_3_4)
| $pr(vertical_3_2)
| $pr(vertical_2_1)
| $pr(horizontal_3_1) ),
inference(resolution,[],['133','101']) ).
cnf('135',plain,
( ~ $pr(horizontal_3_4)
| $pr(vertical_3_2)
| $pr(vertical_2_1)
| $pr(horizontal_3_1) ),
inference(resolution,[],['134','52']) ).
cnf('136',plain,
( $pr(vertical_3_2)
| $pr(vertical_2_5)
| $pr(vertical_2_1)
| $pr(horizontal_3_1) ),
inference(resolution,[],['126','135']) ).
cnf('137',plain,
( ~ $pr(vertical_3_2)
| ~ $pr(horizontal_3_2) ),
inference(cnf_transformation,[],[unique_cover1_3_2]) ).
cnf('138',plain,
( $pr(vertical_2_5)
| $pr(vertical_2_1)
| $pr(horizontal_3_1)
| ~ $pr(horizontal_3_2) ),
inference(resolution,[],['136','137']) ).
cnf('139',plain,
( ~ $pr(horizontal_3_2)
| $pr(vertical_2_5)
| $pr(vertical_2_1) ),
inference(simplify,[],['138','99']) ).
cnf('140',plain,
( $pr(vertical_2_5)
| $pr(vertical_2_3)
| $pr(vertical_2_1)
| $pr(horizontal_3_1) ),
inference(resolution,[],['112','139']) ).
cnf('141',plain,
( $pr(vertical_2_5)
| $pr(vertical_2_3)
| $pr(vertical_2_1) ),
inference(resolution,[],['100','140']) ).
cnf('142',plain,
( ~ $pr(vertical_2_5)
| ~ $pr(vertical_1_5) ),
inference(cnf_transformation,[],[unique_cover5_2_5]) ).
cnf('143',plain,
( ~ $pr(vertical_1_5)
| $pr(vertical_2_3)
| $pr(vertical_2_1) ),
inference(resolution,[],['141','142']) ).
cnf('144',plain,
( $pr(horizontal_1_4)
| $pr(vertical_1_5) ),
inference(cnf_transformation,[],[covered_1_5]) ).
cnf('145',plain,
( $pr(vertical_2_3)
| $pr(vertical_2_1)
| $pr(horizontal_1_4) ),
inference(resolution,[],['143','144']) ).
cnf('146',plain,
( ~ $pr(vertical_2_3)
| ~ $pr(horizontal_2_2) ),
inference(cnf_transformation,[],[unique_cover4_2_3]) ).
cnf('147',plain,
( ~ $pr(horizontal_2_2)
| $pr(vertical_2_1)
| $pr(horizontal_1_4) ),
inference(resolution,[],['145','146']) ).
cnf('148',plain,
( ~ $pr(vertical_3_2)
| ~ $pr(vertical_2_2) ),
inference(cnf_transformation,[],[unique_cover5_3_2]) ).
cnf('149',plain,
( $pr(vertical_2_5)
| $pr(vertical_2_1)
| $pr(horizontal_3_1)
| ~ $pr(vertical_2_2) ),
inference(resolution,[],['136','148']) ).
cnf('150',plain,
( ~ $pr(vertical_2_2)
| ~ $pr(horizontal_3_1) ),
inference(cnf_transformation,[],[unique_cover6_3_2]) ).
cnf('151',plain,
( ~ $pr(vertical_2_2)
| $pr(vertical_2_5)
| $pr(vertical_2_1) ),
inference(simplify,[],['149','150']) ).
cnf('152',plain,
( $pr(vertical_2_2)
| $pr(horizontal_2_1)
| $pr(horizontal_2_2)
| $pr(vertical_1_2) ),
inference(cnf_transformation,[],[covered_2_2]) ).
cnf('153',plain,
~ $pr(vertical_1_2),
inference(cnf_transformation,[],[uncovered2_1_2]) ).
cnf('154',plain,
( $pr(vertical_2_2)
| $pr(horizontal_2_1)
| $pr(horizontal_2_2) ),
inference(simplify,[],['152','153']) ).
cnf('155',plain,
( $pr(vertical_2_5)
| $pr(vertical_2_1)
| $pr(horizontal_2_1)
| $pr(horizontal_2_2) ),
inference(resolution,[],['151','154']) ).
cnf('156',plain,
( ~ $pr(vertical_1_5)
| $pr(vertical_2_1)
| $pr(horizontal_2_1)
| $pr(horizontal_2_2) ),
inference(resolution,[],['155','142']) ).
cnf('157',plain,
( $pr(vertical_2_1)
| $pr(horizontal_2_1)
| $pr(horizontal_2_2)
| $pr(horizontal_1_4) ),
inference(resolution,[],['156','144']) ).
cnf('158',plain,
( $pr(vertical_2_1)
| $pr(horizontal_2_1)
| $pr(horizontal_1_4) ),
inference(resolution,[],['147','157']) ).
cnf('159',plain,
( ~ $pr(vertical_2_1)
| ~ $pr(vertical_1_1) ),
inference(cnf_transformation,[],[unique_cover5_2_1]) ).
cnf('160',plain,
( $pr(horizontal_2_1)
| $pr(horizontal_1_4)
| ~ $pr(vertical_1_1) ),
inference(resolution,[],['158','159']) ).
cnf('161',plain,
( ~ $pr(horizontal_2_1)
| ~ $pr(vertical_1_1) ),
inference(cnf_transformation,[],[unique_cover3_2_1]) ).
cnf('162',plain,
( ~ $pr(vertical_1_1)
| $pr(horizontal_1_4) ),
inference(simplify,[],['160','161']) ).
cnf('163',plain,
( $pr(horizontal_1_1)
| $pr(vertical_1_1) ),
inference(cnf_transformation,[],[covered_1_1]) ).
cnf('164',plain,
~ $pr(horizontal_1_1),
inference(cnf_transformation,[],[uncovered3_1_2]) ).
cnf('165',plain,
$pr(vertical_1_1),
inference(simplify,[],['163','164']) ).
cnf('166',plain,
$pr(horizontal_1_4),
inference(resolution,[],['162','165']) ).
cnf('167',plain,
( ~ $pr(horizontal_1_4)
| ~ $pr(vertical_1_4) ),
inference(cnf_transformation,[],[unique_cover1_1_4]) ).
cnf('168',plain,
~ $pr(vertical_1_4),
inference(resolution,[],['166','167']) ).
cnf('169',plain,
( $pr(vertical_3_2)
| $pr(vertical_2_3)
| $pr(horizontal_2_3)
| $pr(horizontal_2_4)
| $pr(horizontal_3_2) ),
inference(simplify,[],['51','168']) ).
cnf('170',plain,
( $pr(vertical_2_3)
| $pr(horizontal_2_3)
| $pr(horizontal_2_4)
| $pr(horizontal_3_2)
| ~ $pr(horizontal_3_1) ),
inference(resolution,[],['169','97']) ).
cnf('171',plain,
( ~ $pr(horizontal_3_1)
| $pr(vertical_2_3)
| $pr(horizontal_2_3)
| $pr(horizontal_2_4) ),
inference(simplify,[],['170','99']) ).
cnf('172',plain,
( $pr(vertical_2_3)
| $pr(vertical_2_1)
| $pr(horizontal_3_1)
| $pr(horizontal_3_2)
| $pr(horizontal_3_3)
| ~ $pr(vertical_2_4) ),
inference(resolution,[],['105','46']) ).
cnf('173',plain,
( ~ $pr(vertical_2_4)
| $pr(vertical_2_3)
| $pr(vertical_2_1)
| $pr(horizontal_3_1)
| $pr(horizontal_3_2) ),
inference(simplify,[],['172','48']) ).
cnf('174',plain,
( $pr(vertical_2_3)
| $pr(vertical_2_1)
| $pr(horizontal_2_3)
| $pr(horizontal_2_4)
| $pr(vertical_1_4)
| $pr(horizontal_3_1)
| $pr(horizontal_3_2) ),
inference(resolution,[],['173','50']) ).
cnf('175',plain,
( ~ $pr(vertical_2_4)
| $pr(vertical_3_2)
| $pr(vertical_2_1)
| $pr(horizontal_3_1) ),
inference(resolution,[],['134','46']) ).
cnf('176',plain,
( $pr(vertical_3_2)
| $pr(vertical_2_1)
| $pr(horizontal_2_3)
| $pr(horizontal_2_4)
| $pr(vertical_1_4)
| $pr(horizontal_3_1) ),
inference(resolution,[],['175','50']) ).
cnf('177',plain,
( $pr(vertical_2_1)
| $pr(horizontal_2_3)
| $pr(horizontal_2_4)
| $pr(vertical_1_4)
| $pr(horizontal_3_1)
| ~ $pr(horizontal_3_2) ),
inference(resolution,[],['176','137']) ).
cnf('178',plain,
( ~ $pr(horizontal_3_2)
| $pr(vertical_2_1)
| $pr(horizontal_2_3)
| $pr(horizontal_2_4)
| $pr(vertical_1_4) ),
inference(simplify,[],['177','99']) ).
cnf('179',plain,
( $pr(vertical_2_3)
| $pr(vertical_2_1)
| $pr(horizontal_2_3)
| $pr(horizontal_2_4)
| $pr(vertical_1_4)
| $pr(horizontal_3_1) ),
inference(resolution,[],['174','178']) ).
cnf('180',plain,
( $pr(vertical_2_3)
| $pr(vertical_2_1)
| $pr(horizontal_2_3)
| $pr(horizontal_2_4) ),
inference(resolution,[then_simplify],['171','179','168']) ).
cnf('181',plain,
( ~ $pr(vertical_2_5)
| ~ $pr(horizontal_2_4) ),
inference(cnf_transformation,[],[unique_cover4_2_5]) ).
cnf('182',plain,
( ~ $pr(horizontal_2_4)
| $pr(vertical_2_3)
| $pr(vertical_2_1) ),
inference(resolution,[],['141','181']) ).
cnf('183',plain,
( $pr(vertical_2_3)
| $pr(vertical_2_1)
| $pr(horizontal_2_3) ),
inference(resolution,[],['180','182']) ).
cnf('184',plain,
( $pr(vertical_2_1)
| $pr(horizontal_2_3)
| ~ $pr(horizontal_2_2) ),
inference(resolution,[],['183','146']) ).
cnf('185',plain,
( ~ $pr(horizontal_2_2)
| ~ $pr(horizontal_2_3) ),
inference(cnf_transformation,[],[unique_cover2_2_3]) ).
cnf('186',plain,
( ~ $pr(horizontal_2_2)
| $pr(vertical_2_1) ),
inference(simplify,[],['184','185']) ).
cnf('187',plain,
( ~ $pr(vertical_3_3)
| $pr(horizontal_4_1)
| $pr(vertical_3_2)
| $pr(vertical_4_1) ),
inference(resolution,[],['115','61']) ).
cnf('188',plain,
( $pr(horizontal_4_1)
| $pr(vertical_3_2)
| $pr(vertical_2_3)
| $pr(vertical_4_1)
| $pr(horizontal_3_2)
| $pr(horizontal_3_3) ),
inference(resolution,[],['187','19']) ).
cnf('189',plain,
( $pr(horizontal_4_1)
| $pr(vertical_3_2)
| $pr(vertical_2_3)
| $pr(vertical_2_1)
| $pr(horizontal_3_1)
| $pr(horizontal_3_2)
| $pr(horizontal_3_3) ),
inference(resolution,[],['188','103']) ).
cnf('190',plain,
( $pr(vertical_3_2)
| $pr(vertical_2_3)
| $pr(vertical_2_1)
| $pr(horizontal_3_1)
| $pr(horizontal_3_2)
| $pr(horizontal_3_3)
| ~ $pr(vertical_3_1) ),
inference(resolution,[],['189','120']) ).
cnf('191',plain,
( ~ $pr(vertical_3_1)
| $pr(vertical_3_2)
| $pr(vertical_2_3)
| $pr(horizontal_3_1)
| $pr(horizontal_3_2)
| $pr(horizontal_3_3) ),
inference(simplify,[],['190','122']) ).
cnf('192',plain,
( ~ $pr(vertical_3_1)
| $pr(vertical_3_2)
| $pr(vertical_2_3)
| $pr(horizontal_3_2)
| $pr(horizontal_3_3) ),
inference(simplify,[],['191','124']) ).
cnf('193',plain,
( $pr(vertical_3_2)
| $pr(vertical_2_3)
| $pr(vertical_2_1)
| $pr(horizontal_3_1)
| $pr(horizontal_3_2)
| $pr(horizontal_3_3) ),
inference(resolution,[],['192','101']) ).
cnf('194',plain,
( ~ $pr(horizontal_3_3)
| $pr(vertical_3_2)
| $pr(vertical_2_1)
| $pr(horizontal_3_1) ),
inference(resolution,[],['134','93']) ).
cnf('195',plain,
( $pr(vertical_3_2)
| $pr(vertical_2_3)
| $pr(vertical_2_1)
| $pr(horizontal_3_1)
| $pr(horizontal_3_2) ),
inference(resolution,[],['193','194']) ).
cnf('196',plain,
( $pr(vertical_2_3)
| $pr(vertical_2_1)
| $pr(horizontal_3_1)
| $pr(horizontal_3_2)
| ~ $pr(vertical_2_2) ),
inference(resolution,[],['195','148']) ).
cnf('197',plain,
( ~ $pr(vertical_2_2)
| $pr(vertical_2_3)
| $pr(vertical_2_1)
| $pr(horizontal_3_2) ),
inference(simplify,[],['196','150']) ).
cnf('198',plain,
( ~ $pr(vertical_2_2)
| ~ $pr(horizontal_3_2) ),
inference(cnf_transformation,[],[unique_cover3_3_2]) ).
cnf('199',plain,
( ~ $pr(vertical_2_2)
| $pr(vertical_2_3)
| $pr(vertical_2_1) ),
inference(simplify,[],['197','198']) ).
cnf('200',plain,
( $pr(vertical_2_3)
| $pr(vertical_2_1)
| $pr(horizontal_2_1)
| $pr(horizontal_2_2) ),
inference(resolution,[],['199','154']) ).
cnf('201',plain,
( ~ $pr(vertical_2_3)
| ~ $pr(horizontal_2_3) ),
inference(cnf_transformation,[],[unique_cover1_2_3]) ).
cnf('202',plain,
( $pr(vertical_2_1)
| $pr(horizontal_2_1)
| $pr(horizontal_2_2)
| ~ $pr(horizontal_2_3) ),
inference(resolution,[],['200','201']) ).
cnf('203',plain,
( ~ $pr(horizontal_2_3)
| $pr(vertical_2_1)
| $pr(horizontal_2_1) ),
inference(simplify,[],['202','185']) ).
cnf('204',plain,
( $pr(vertical_2_1)
| $pr(horizontal_2_3)
| $pr(horizontal_2_4)
| $pr(vertical_1_4)
| $pr(horizontal_3_1)
| ~ $pr(vertical_2_2) ),
inference(resolution,[],['176','148']) ).
cnf('205',plain,
( ~ $pr(vertical_2_2)
| $pr(vertical_2_1)
| $pr(horizontal_2_3)
| $pr(horizontal_2_4)
| $pr(vertical_1_4) ),
inference(simplify,[],['204','150']) ).
cnf('206',plain,
( $pr(vertical_2_1)
| $pr(horizontal_2_1)
| $pr(horizontal_2_2)
| $pr(horizontal_2_3)
| $pr(horizontal_2_4)
| $pr(vertical_1_4) ),
inference(resolution,[],['205','154']) ).
cnf('207',plain,
( ~ $pr(horizontal_2_4)
| $pr(vertical_2_1)
| $pr(horizontal_2_1)
| $pr(horizontal_2_2) ),
inference(resolution,[],['155','181']) ).
cnf('208',plain,
( $pr(vertical_2_1)
| $pr(horizontal_2_1)
| $pr(horizontal_2_2)
| $pr(horizontal_2_3)
| $pr(vertical_1_4) ),
inference(resolution,[],['206','207']) ).
cnf('209',plain,
( $pr(vertical_2_1)
| $pr(horizontal_2_1)
| $pr(horizontal_2_2)
| $pr(vertical_1_4) ),
inference(resolution,[],['203','208']) ).
cnf('210',plain,
( $pr(vertical_2_1)
| $pr(horizontal_2_1) ),
inference(resolution,[then_simplify],['186','209','168']) ).
cnf('211',plain,
( $pr(horizontal_2_1)
| ~ $pr(vertical_1_1) ),
inference(resolution,[],['210','159']) ).
cnf('212',plain,
~ $pr(vertical_1_1),
inference(simplify,[],['211','161']) ).
cnf('213',plain,
$false,
inference(resolution,[],['212','165']) ).
%------------------------------------------------------------------------------
%----ORIGINAL SYSTEM OUTPUT
% 0.00/0.13 % Problem : PUZ016-2.005 : TPTP v8.1.2. Released v1.2.0.
% 0.00/0.14 % Command : gkc %s
% 0.15/0.36 % Computer : n018.cluster.edu
% 0.15/0.36 % Model : x86_64 x86_64
% 0.15/0.36 % CPU : Intel(R) Xeon(R) CPU E5-2620 v4 @ 2.10GHz
% 0.15/0.36 % Memory : 8042.1875MB
% 0.15/0.36 % OS : Linux 3.10.0-693.el7.x86_64
% 0.15/0.36 % CPULimit : 300
% 0.15/0.36 % WCLimit : 300
% 0.15/0.36 % DateTime : Sat Aug 26 22:29:30 EDT 2023
% 0.15/0.36 % CPUTime :
% 0.22/0.40
% 0.22/0.40 input clause set summed statistics:
% 0.22/0.40 ----------------------------------
% 0.22/0.40 in_clause_count: 117
% 0.22/0.40 in_rule_clause_count: 117
% 0.22/0.40 in_fact_clause_count: 0
% 0.22/0.40 in_answer_clause_count: 0
% 0.22/0.40 in_ground_clause_count: 117
% 0.22/0.40 in_unit_clause_count: 6
% 0.22/0.40 in_horn_clause_count: 94
% 0.22/0.40 in_pos_clause_count: 23
% 0.22/0.40 in_neg_clause_count: 94
% 0.22/0.40 in_poseq_clause_count: 0
% 0.22/0.40 in_negeq_clause_count: 0
% 0.22/0.40 in_unitposeq_clause_count: 0
% 0.22/0.40 in_chain_clause_count: 0
% 0.22/0.40 in_min_length: 1
% 0.22/0.40 in_max_length: 4
% 0.22/0.40 in_min_depth: 1
% 0.22/0.40 in_max_depth: 1
% 0.22/0.40 in_min_size: 2
% 0.22/0.40 in_max_size: 8
% 0.22/0.40 in_min_vars: 0
% 0.22/0.40 in_max_vars: 0
% 0.22/0.40 in_extaxiom_count: 0
% 0.22/0.40 in_axiom_count: 0
% 0.22/0.40 in_assumption_count: 0
% 0.22/0.40 in_goal_count: 117
% 0.22/0.40 in_neg_goal_count: 94
% 0.22/0.40 in_pos_goal_count: 23
% 0.22/0.40 in_posunit_goal_count: 0
% 0.22/0.40
% 0.22/0.40 auto guide:
% 0.22/0.40 -----------
% 0.22/0.40 {
% 0.22/0.40 "print":1,
% 0.22/0.40 "print_level": 15,
% 0.22/0.40 "max_size": 0,
% 0.22/0.40 "max_depth": 0,
% 0.22/0.40 "max_length": 0,
% 0.22/0.40 "max_dseconds": 0,
% 0.22/0.40 "equality":0,
% 0.22/0.40 "runs":[
% 0.22/0.40 {"max_dseconds":1, "strategy":["hardness_pref"], "query_preference":0},
% 0.22/0.40 {"max_dseconds":1, "sine":5, "strategy":["negative_pref"], "query_preference":0},
% 0.22/0.40 {"max_dseconds":1, "sine":5, "strategy":["hardness_pref"], "query_preference":0},
% 0.22/0.40 {"max_dseconds":1, "sine":5, "strategy":["unit"], "query_preference":0},
% 0.22/0.40 {"max_dseconds":1, "strategy":["negative_pref"], "weight_select_ratio":100, "query_preference":0},
% 0.22/0.40 {"max_dseconds":1, "strategy":["hardness_pref"], "weight_select_ratio":100, "query_preference":0},
% 0.22/0.40 {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":0, "weight_select_ratio":100, "depth_penalty":100, "length_penalty":100},
% 0.22/0.40 {"max_dseconds":1, "strategy":["unit"], "weight_select_ratio":100, "query_preference":0},
% 0.22/0.40 {"max_dseconds":1, "strategy":["negative_pref"], "weight_select_ratio":100, "query_preference":0, "var_weight":70, "repeat_var_weight":70},
% 0.22/0.40 {"max_dseconds":1, "strategy":["unit"], "query_preference":0, "weight_select_ratio":100, "depth_penalty":100, "length_penalty":100},
% 0.22/0.40 {"max_dseconds":1, "strategy":["query_focus"], "query_preference":1},
% 0.22/0.40 {"max_dseconds":1, "strategy":["query_focus", "positive_pref"], "query_preference":0},
% 0.22/0.40 {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":0, "sine":1},
% 0.22/0.40 {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":0},
% 0.22/0.40 {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":1},
% 0.22/0.40 {"max_dseconds":1, "strategy":["hardness_pref", "max_ground_weight"], "query_preference":0},
% 0.22/0.40 {"max_dseconds":1, "strategy":["query_focus"], "query_preference":1, "depth_penalty":100},
% 0.22/0.40 {"max_dseconds":1, "strategy":["unit"], "query_preference":1, "reverse_clauselist":1},
% 0.22/0.40 {"max_dseconds":1, "strategy":["query_focus"], "query_preference":2},
% 0.22/0.40 {"max_dseconds":1, "strategy":["query_focus", "unit"], "query_preference":0},
% 0.22/0.40 {"max_dseconds":1, "strategy":["unit"], "query_preference":0},
% 0.22/0.40 {"max_dseconds":1, "strategy":["unit"], "query_preference":2},
% 0.22/0.40 {"max_dseconds":1, "strategy":["hardness_pref"], "var_weight":70, "repeat_var_weight":70, "query_preference":0},
% 0.22/0.40 {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":1, "sine":1},
% 0.22/0.40 {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":1, "sine":2},
% 0.22/0.40 {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":2, "sine":1},
% 0.22/0.40 {"max_dseconds":1, "strategy":["hardness_pref"], "sine":1, "query_preference":1},
% 0.22/0.40 {"max_dseconds":1, "strategy":["hardness_pref"], "sine":2, "query_preference":1},
% 0.22/0.40 {"max_dseconds":1, "strategy":["query_focus", "unit"], "query_preference":1},
% 0.22/0.40 {"max_dseconds":1, "strategy":["query_focus", "max_ground_weight"], "query_preference":1},
% 0.22/0.40 {"max_dseconds":1, "strategy":["query_focus"], "query_preference":1, "var_weight":1, "weight_select_ratio":100, "repeat_var_weight":1},
% 0.22/0.40 {"max_dseconds":1, "strategy":["query_focus", "unit"], "query_preference":2},
% 0.22/0.40 {"max_dseconds":1, "strategy":["query_focus", "unit"], "query_preference":1, "sine":1},
% 0.22/0.40 {"max_dseconds":1, "strategy":["query_focus", "double"], "query_preference":1},
% 0.22/0.40 {"max_dseconds":1, "strategy":["unit"], "query_preference":1},
% 0.22/0.40 {"weight_select_ratio":20, "length_penalty":100, "query_preference":1, "strategy":["query_focus"], "max_dseconds":1},
% 0.22/0.40 {"max_dseconds":1, "strategy":["hardness_pref"], "query_preference":0, "weight_select_ratio":20, "depth_penalty":50, "length_penalty":100},
% 0.22/0.40 {"length_penalty":100, "query_preference":0, "strategy":["negative_pref"], "max_dseconds":1},
% 0.22/0.40 {"strategy":["hardness_pref", "max_weight"], "length_penalty":100, "depth_penalty":50, "max_depth":3, "var_weight":10, "repeat_var_weight":10, "max_dseconds":1},
% 0.22/0.40 {"sine":2, "var_weight":70, "repeat_var_weight":70, "max_depth":0, "length_penalty":100, "query_preference":2, "strategy":["unit"], "max_dseconds":1},
% 0.22/0.40 {"max_dseconds":1, "strategy":["positive_pref"], "query_preference":0},
% 0.22/0.40 {"max_dseconds":1, "strategy":["query_focus", "positive_pref"], "query_preference":1},
% 0.22/0.40 {"var_weight":70, "repeat_var_weight":70, "max_depth":3, "query_preference":0, "strategy":["negative_pref"], "max_dseconds":1},
% 0.22/0.40 {"max_dseconds":1, "strategy":["unit"], "query_preference":0, "sine":2},
% 0.22/0.40 {"max_dseconds":1, "strategy":["unit", "posunitpara"], "query_preference":0, "sine":2},
% 0.22/0.40 {"max_dseconds":1, "strategy":["query_focus"], "query_preference":3},
% 0.22/0.40 {"max_dseconds":1, "strategy":["query_focus"], "query_preference":1, "var_weight":1, "repeat_var_weight":1},
% 0.22/0.40 {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":1, "var_weight":1, "repeat_var_weight":1},
% 0.22/0.40 {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":0, "weight_select_ratio":100, "depth_penalty":100, "length_penalty":100},
% 0.22/0.40 {"max_dseconds":1, "strategy":["unit"], "query_preference":0, "var_weight":1, "depth_penalty":100, "repeat_var_weight":1},
% 0.22/0.40 {"weight_select_ratio":100, "length_penalty":100, "query_preference":1, "strategy":["query_focus"], "max_dseconds":1},
% 0.22/0.40
% 0.22/0.40 {"max_dseconds":10, "strategy":["hardness_pref"], "query_preference":0},
% 0.22/0.40 {"max_dseconds":10, "sine":5, "strategy":["negative_pref"], "query_preference":0},
% 0.22/0.40 {"max_dseconds":10, "sine":5, "strategy":["hardness_pref"], "query_preference":0},
% 0.22/0.40 {"max_dseconds":10, "sine":5, "strategy":["unit"], "query_preference":0},
% 0.22/0.40 {"max_dseconds":10, "strategy":["negative_pref"], "weight_select_ratio":100, "query_preference":0},
% 0.22/0.40 {"max_dseconds":10, "strategy":["hardness_pref"], "weight_select_ratio":100, "query_preference":0},
% 0.22/0.40 {"max_dseconds":10, "strategy":["negative_pref"], "query_preference":0, "weight_select_ratio":100, "depth_penalty":100, "length_penalty":100},
% 0.22/0.40 {"max_dseconds":10, "strategy":["unit"], "weight_select_ratio":100, "query_preference":0},
% 0.22/0.40 {"max_dseconds":10, "strategy":["negative_pref"], "weight_select_ratio":100, "query_preference":0, "var_weight":70, "repeat_var_weight":70},
% 0.22/0.40 {"max_dseconds":10, "strategy":["unit"], "query_preference":0, "weight_select_ratio":100, "depth_penalty":100, "length_penalty":100},
% 0.22/0.40 {"max_dseconds":10, "strategy":["query_focus", "positive_pref"], "query_preference":0},
% 0.22/0.40 {"max_dseconds":10, "strategy":["negative_pref"], "query_preference":0, "sine":1},
% 0.22/0.40 {"max_dseconds":10, "strategy":["negative_pref"], "query_preference":0},
% 0.22/0.40 {"max_dseconds":10, "strategy":["hardness_pref", "max_ground_weight"], "query_preference":0},
% 0.22/0.40 {"max_dseconds":10, "strategy":["query_focus", "unit"], "query_preference":0},
% 0.22/0.40 {"max_dseconds":10, "strategy":["unit"], "query_preference":0},
% 0.22/0.40 {"max_dseconds":10, "strategy":["hardness_pref"], "var_weight":70, "repeat_var_weight":70, "query_preference":0},
% 0.22/0.40 {"max_dseconds":10, "strategy":["hardness_pref"], "query_preference":0, "weight_select_ratio":20, "depth_penalty":50, "length_penalty":100},
% 0.22/0.40 {"length_penalty":100, "query_preference":0, "strategy":["negative_pref"], "max_dseconds":10},
% 0.22/0.40 {"strategy":["hardness_pref", "max_weight"], "length_penalty":100, "depth_penalty":50, "max_depth":3, "var_weight":10, "repeat_var_weight":10, "max_dseconds":10},
% 0.22/0.40 {"max_dseconds":10, "strategy":["positive_pref"], "query_preference":0},
% 0.22/0.40 {"var_weight":70, "repeat_var_weight":70, "max_depth":3, "query_preference":0, "strategy":["negative_pref"], "max_dseconds":10},
% 0.22/0.40 {"max_dseconds":10, "strategy":["unit"], "query_preference":0, "sine":2},
% 0.22/0.40 {"max_dseconds":10, "strategy":["unit", "posunitpara"], "query_preference":0, "sine":2},
% 0.22/0.40 {"max_dseconds":10, "strategy":["query_focus"], "query_preference":3},
% 0.22/0.40 {"max_dseconds":10, "strategy":["negative_pref"], "query_preference":0, "weight_select_ratio":100, "depth_penalty":100, "length_penalty":100},
% 0.22/0.40 {"max_dseconds":10, "strategy":["unit"], "query_preference":0, "var_weight":1, "depth_penalty":100, "repeat_var_weight":1},
% 0.22/0.40
% 0.22/0.40 {"max_dseconds":50, "strategy":["hardness_pref"], "query_preference":0},
% 0.22/0.40 {"max_dseconds":50, "strategy":["negative_pref"], "weight_select_ratio":100, "query_preference":0},
% 0.22/0.40 {"max_dseconds":50, "strategy":["hardness_pref"], "weight_select_ratio":100, "query_preference":0},
% 0.22/0.40 {"max_dseconds":50, "strategy":["negative_pref"], "query_preference":0, "weight_select_ratio":100, "depth_penalty":100, "length_penalty":100},
% 0.22/0.40 {"max_dseconds":50, "strategy":["unit"], "weight_select_ratio":100, "query_preference":0},
% 0.22/0.40 {"max_dseconds":50, "strategy":["negative_pref"], "weight_select_ratio":100, "query_preference":0, "var_weight":70, "repeat_var_weight":70},
% 0.22/0.40 {"max_dseconds":50, "strategy":["unit"], "query_preference":0, "weight_select_ratio":100, "depth_penalty":100, "length_penalty":100},
% 0.22/0.40 {"max_dseconds":50, "strategy":["query_focus", "positive_pref"], "query_preference":0},
% 0.22/0.40 {"max_dseconds":50, "strategy":["negative_pref"], "query_preference":0, "sine":1},
% 0.22/0.40 {"max_dseconds":50, "strategy":["negative_pref"], "query_preference":0},
% 0.22/0.40 {"max_dseconds":50, "strategy":["hardness_pref", "max_ground_weight"], "query_preference":0},
% 0.22/0.40 {"max_dseconds":50, "strategy":["query_focus", "unit"], "query_preference":0},
% 0.22/0.40 {"max_dseconds":50, "strategy":["unit"], "query_preference":0},
% 0.22/0.40 {"max_dseconds":50, "strategy":["hardness_pref"], "var_weight":70, "repeat_var_weight":70, "query_preference":0},
% 0.22/0.40 {"max_dseconds":50, "strategy":["hardness_pref"], "query_preference":0, "weight_select_ratio":20, "depth_penalty":50, "length_penalty":100},
% 0.22/0.40 {"length_penalty":100, "query_preference":0, "strategy":["negative_pref"], "max_dseconds":50},
% 0.22/0.40 {"strategy":["hardness_pref", "max_weight"], "length_penalty":100, "depth_penalty":50, "max_depth":3, "var_weight":10, "repeat_var_weight":10, "max_dseconds":50},
% 0.22/0.40 {"max_dseconds":50, "strategy":["positive_pref"], "query_preference":0},
% 0.22/0.40 {"var_weight":70, "repeat_var_weight":70, "max_depth":3, "query_preference":0, "strategy":["negative_pref"], "max_dseconds":50},
% 0.22/0.40 {"max_dseconds":50, "strategy":["unit"], "query_preference":0, "sine":2},
% 0.22/0.40 {"max_dseconds":50, "strategy":["unit", "posunitpara"], "query_preference":0, "sine":2},
% 0.22/0.40 {"max_dseconds":50, "strategy":["query_focus"], "query_preference":3},
% 0.22/0.40 {"max_dseconds":50, "strategy":["negative_pref"], "query_preference":0, "weight_select_ratio":100, "depth_penalty":100, "length_penalty":100},
% 0.22/0.40 {"max_dseconds":50, "strategy":["unit"], "query_preference":0, "var_weight":1, "depth_penalty":100, "repeat_var_weight":1},
% 0.22/0.40
% 0.22/0.40 {"max_dseconds":250, "strategy":["hardness_pref"], "query_preference":0},
% 0.22/0.40 {"max_dseconds":250, "strategy":["unit"], "query_preference":0, "weight_select_ratio":100, "depth_penalty":100, "length_penalty":100},
% 0.22/0.40 {"max_dseconds":250, "strategy":["query_focus", "positive_pref"], "query_preference":0},
% 0.22/0.40 {"max_dseconds":250, "strategy":["negative_pref"], "query_preference":0, "sine":1},
% 0.22/0.40 {"max_dseconds":250, "strategy":["negative_pref"], "query_preference":0},
% 0.22/0.40 {"max_dseconds":250, "strategy":["hardness_pref", "max_ground_weight"], "query_preference":0},
% 0.22/0.40 {"max_dseconds":250, "strategy":["query_focus", "unit"], "query_preference":0},
% 0.22/0.40 {"max_dseconds":250, "strategy":["unit"], "query_preference":0},
% 0.22/0.40 {"max_dseconds":250, "strategy":["hardness_pref"], "var_weight":70, "repeat_var_weight":70, "query_preference":0},
% 0.22/0.40
% 0.22/0.40 {"max_dseconds":1250, "strategy":["hardness_pref"], "query_preference":0},
% 0.22/0.40 {"max_dseconds":1250, "strategy":["query_focus", "positive_pref"], "query_preference":0},
% 0.22/0.40 {"max_dseconds":1250, "strategy":["negative_pref"], "query_preference":0, "sine":1},
% 0.22/0.40 {"max_dseconds":1250, "strategy":["negative_pref"], "query_preference":0},
% 0.22/0.40 {"max_dseconds":1250, "strategy":["hardness_pref", "max_ground_weight"], "query_preference":0},
% 0.22/0.40 {"max_dseconds":1250, "strategy":["query_focus", "unit"], "query_preference":0},
% 0.22/0.40 {"max_dseconds":1250, "strategy":["unit"], "query_preference":0},
% 0.22/0.40 {"max_dseconds":1250, "strategy":["hardness_pref"], "var_weight":70, "repeat_var_weight":70, "query_preference":0}
% 0.22/0.40
% 0.22/0.40 ]}
% 0.22/0.40
% 0.22/0.40
% 0.22/0.40 **** run 1 fork 0 starts with strategy
% 0.22/0.40 {"max_dseconds":1,"strategy":["hardness_pref"],"query_preference":0}
% 0.22/0.40
% 0.22/0.40 **** run 2 fork 1 starts with strategy
% 0.22/0.40 {"max_dseconds":1,"sine":5,"strategy":["negative_pref"],"query_preference":0}
% 0.22/0.40
% 0.22/0.40 **** run 3 fork 2 starts with strategy
% 0.22/0.40 {"max_dseconds":1,"sine":5,"strategy":["hardness_pref"],"query_preference":0}
% 0.22/0.40
% 0.22/0.40 **** run 4 fork 3 starts with strategy
% 0.22/0.40 {"max_dseconds":1,"sine":5,"strategy":["unit"],"query_preference":0}
% 0.22/0.40
% 0.22/0.40 **** run 5 fork 4 starts with strategy
% 0.22/0.40 {"max_dseconds":1,"strategy":["negative_pref"],"weight_select_ratio":100,"query_preference":0}
% 0.22/0.40
% 0.22/0.40 **** run 7 fork 6 starts with strategy
% 0.22/0.40 {"max_dseconds":1,"strategy":["negative_pref"],"query_preference":0,"weight_select_ratio":100,"depth_penalty":100,"length_penalty":100}
% 0.22/0.40
% 0.22/0.40 **** run 6 fork 5 starts with strategy
% 0.22/0.40 {"max_dseconds":1,"strategy":["hardness_pref"],"weight_select_ratio":100,"query_preference":0}
% 0.22/0.42
% 0.22/0.42 **** run 8 fork 7 starts with strategy
% 0.22/0.42 {"max_dseconds":1,"strategy":["unit"],"weight_select_ratio":100,"query_preference":0}
% 0.22/0.45
% 0.22/0.45 fork 3: search finished without proof.
% 0.22/0.46
% 0.22/0.46 fork 7: search finished without proof.
% 0.22/0.48
% 0.22/0.48 **** run 12 fork 3 starts with strategy
% 0.22/0.48 {"max_dseconds":1,"strategy":["query_focus","positive_pref"],"query_preference":0}
% 0.22/0.49
% 0.22/0.49 **** run 16 fork 7 starts with strategy
% 0.22/0.49 {"max_dseconds":1,"strategy":["hardness_pref","max_ground_weight"],"query_preference":0}
% 0.22/0.52
% 0.22/0.52 fork 0: search finished without proof.
% 0.22/0.53
% 0.22/0.53 fork 2: search finished without proof.
% 0.22/0.53
% 0.22/0.53 fork 5: search finished without proof.
% 0.22/0.54
% 0.22/0.54 **** run 9 fork 0 starts with strategy
% 0.22/0.54 {"max_dseconds":1,"strategy":["negative_pref"],"weight_select_ratio":100,"query_preference":0,"var_weight":70,"repeat_var_weight":70}
% 0.22/0.55
% 0.22/0.55 **** run 14 fork 5 starts with strategy
% 0.22/0.55 {"max_dseconds":1,"strategy":["negative_pref"],"query_preference":0}
% 0.22/0.55
% 0.22/0.55 **** run 11 fork 2 starts with strategy
% 0.22/0.55 {"max_dseconds":1,"strategy":["query_focus"],"query_preference":1}
% 0.22/0.56
% 0.22/0.56
% 0.22/0.56 result: proof found
% 0.22/0.56 for /export/starexec/sandbox2/benchmark/theBenchmark.p
% 0.22/0.56 by run 7 fork 6 strategy {"max_dseconds":1,"strategy":["negative_pref"],"query_preference":0,"weight_select_ratio":100,"depth_penalty":100,"length_penalty":100}
% 0.22/0.56 % SZS status Unsatisfiable for /export/starexec/sandbox2/benchmark/theBenchmark.p
% 0.22/0.56
% 0.22/0.56 % SZS output start CNFRefutation for /export/starexec/sandbox2/benchmark/theBenchmark.p
% See solution above
% 0.22/0.56
% 0.22/0.56 run 7 fork 6 statistics:
% 0.22/0.56 ----------------------------------
% 0.22/0.56 this run seconds: 0.038003
% 0.22/0.56 total seconds: 0.069587
% 0.22/0.56 stat_given_used: 395
% 0.22/0.56 stat_given_used_at_endgame: 0
% 0.22/0.56 stat_given_candidates: 705
% 0.22/0.56 stat_given_candidates_at_endgame: 0
% 0.22/0.56 stat_given_candidates_h: 0
% 0.22/0.56 stat_binres_derived_cl: 1121
% 0.22/0.56 stat_binres_derived_cl_h: 0
% 0.22/0.56 stat_factor_derived_cl: 0
% 0.22/0.56 stat_para_derived_cl: 0
% 0.22/0.56 stat_tautologies_discarded: 98
% 0.22/0.56 stat_forward_subsumed: 6
% 0.22/0.56 stat_derived_cut: 191
% 0.22/0.56 stat_derived_rewritten: 0
% 0.22/0.56 stat_weight_discarded_building: 0
% 0.22/0.56 stat_weight_discarded_cl: 0
% 0.22/0.56 stat_internlimit_discarded_cl: 0
% 0.22/0.56 stat_simplified: 183 simplified 0 derived 0 given
% 0.22/0.56 stat_kept_cl: 1016
% 0.22/0.56 stat_built_cl: 1989
% 0.22/0.56 stat_hyperres_partial_cl: 0
% 0.22/0.56 stat_made_rewriters: 0
% 0.22/0.56 stat_backward_subsumed: 0
% 0.22/0.56 stat_propagated_subsumed: 0
% 0.22/0.56 stat_clsubs_attempted: 3121
% 0.22/0.56 stat_clsubs_fact_groundunit_found: 0
% 0.22/0.56 stat_clsubs_rule_groundunit_found: 8
% 0.22/0.56 stat_clsubs_top_meta_attempted: 119153
% 0.22/0.56 stat_clsubs_top_meta_failed: 116032
% 0.22/0.56 stat_clsubs_top_meta_nonpref_attempted: 119153
% 0.22/0.56 stat_clsubs_top_meta_nonpref_succeeded: 42879
% 0.22/0.56 stat_clsubs_top_meta_pref_attempted: 42879
% 0.22/0.56 stat_clsubs_top_meta_pref1_succeeded: 42711
% 0.22/0.56 stat_clsubs_top_meta_pref2_succeeded: 3121
% 0.22/0.56 stat_clsubs_top_meta_pref3_succeeded: 3121
% 0.22/0.56 stat_clsubs_top_meta_pref_succeeded: 3121
% 0.22/0.56 stat_clsubs_meta_attempted: 12822
% 0.22/0.56 stat_clsubs_meta_failed: 10287
% 0.22/0.56 stat_clsubs_predsymbs_attempted: 0
% 0.22/0.56 stat_clsubs_unit_attempted: 0
% 0.22/0.56 stat_clsubs_full_attempted: 3121
% 0.22/0.56 stat_forwardsubs_attempted: 1022
% 0.22/0.56 stat_lit_hash_added: 224
% 0.22/0.56 stat_lit_hash_computed: 24761
% 0.22/0.56 stat_lit_hash_match_found: 41
% 0.22/0.56 stat_lit_hash_match_miss: 25448
% 0.22/0.56 stat_lit_hash_cut_ok: 191
% 0.22/0.56 stat_lit_strong_cut_ok: 0
% 0.22/0.56 stat_lit_hash_subsume_ok: 6
% 0.22/0.56 clqueue els 10000000 used 1
% 0.22/0.56 clactive els 10000000 used 396
% 0.22/0.56 clactivesubsume els 10000000 used 2311
% 0.22/0.56 queue_termbuf els 200000000 used 83665
% 0.22/0.56 hyper_termbuf els 100000000 used 1
% 0.22/0.56 active_termbuf els 100000000 used 14828
% 0.22/0.56 varstack els 5000 last used 1
% 0.22/0.56 given_termbuf els 10000000 last used 13
% 0.22/0.56 simplified_termbuf els 10000000 last used 1
% 0.22/0.56 derived_termbuf els 10000000 last used 3
% 0.22/0.56 wr_mallocs: 1017
% 0.22/0.56 wr_callocs: 21
% 0.22/0.56 wr_reallocs: 129
% 0.22/0.56 wr_frees: 4
% 0.22/0.56 wr_malloc_bytes: 4162627236
% 0.22/0.56 wr_calloc_bytes: 112065536
% 0.22/0.56 wr_realloc_bytes: 99960
% 0.22/0.56 wr_realloc_freebytes: 0
% 0.22/0.56 ----------------------------------
%------------------------------------------------------------------------------