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10290 ` .._.._.._subprojects_highs_extern_filereaderlp_reader.cpp.o/ .._.._.._subprojects_highs_src_interfaces_highs_c_api.cpp.o/ .._.._.._subprojects_highs_src_io_Filereader.cpp.o/ .._.._.._subprojects_highs_src_io_FilereaderEms.cpp.o/ .._.._.._subprojects_highs_src_io_FilereaderLp.cpp.o/ .._.._.._subprojects_highs_src_io_FilereaderMps.cpp.o/ .._.._.._subprojects_highs_src_io_HMPSIO.cpp.o/ .._.._.._subprojects_highs_src_io_HMpsFF.cpp.o/ .._.._.._subprojects_highs_src_io_HighsIO.cpp.o/ .._.._.._subprojects_highs_src_io_LoadOptions.cpp.o/ .._.._.._subprojects_highs_src_ipm_IpxWrapper.cpp.o/ .._.._.._subprojects_highs_src_lp_data_Highs.cpp.o/ .._.._.._subprojects_highs_src_lp_data_HighsCallback.cpp.o/ .._.._.._subprojects_highs_src_lp_data_HighsDebug.cpp.o/ .._.._.._subprojects_highs_src_lp_data_HighsIis.cpp.o/ .._.._.._subprojects_highs_src_lp_data_HighsDeprecated.cpp.o/ .._.._.._subprojects_highs_src_lp_data_HighsInfo.cpp.o/ .._.._.._subprojects_highs_src_lp_data_HighsInfoDebug.cpp.o/ 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Read ROWS OK readMPS: Read COLUMNS OK readMPS: Read RHS OK readMPS: Read RANGES OK readMPS: Read BOUNDS OK readMPS: Read ENDATA OK offchooseonsimplexipmpdlpmodel_filepresolvesolverparallelrun_crossovertime_limitoptions_filerandom_seedsolution_filerangingversionwrite_model_filewrite_presolved_model_fileread_solution_filelog_file ÿ›%v–¦ö¶µ¨}ÿ›%r'—’§¢²}ÿ›) qêëÿåàÿ©´ÿÿ5]XÍÛØ*Éº*ìÉ* à*ë ¡Ø*¯(ª*Ê)2¥*²*ÿÿiÿÿ<ÌW§ÿÇÓ§•Ÿ§Ÿ¯ò—¿·òU§ÿÿ€ÿ›ÔËˆEÌÂW†ºW•úV©ˆÚV¡ÿÊV× &êVúÊV³ ÂVù êV–ÊVø"ÚV…;ÚWÊVÄyÊW«âW…2ÒW¨žâWÞÒW#âWÿòW»úW×òW»ÚVƒ ‚X¼!cÊW„#ñšWÿ%¢W±&ªWÍ'¢WÃ(ÏšWë.ÚVŒ/¢W¾/²Wß0òW›1âV¼1ÊWÝ1ïšW÷5‚W©6òVÅ7¢‚W”9ŠWÁ<ÆšW¦A’WÎB6šWæCâW£DµšWŒGŒÒV„JýêW‘NšWïNÓêWÃQÑšW½VÊWÿ› NÓbasic_string::_S_construct null not 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HƒÀHƒÂH‰HøH9ðuìéÿÿÿH=èH‰ÇëH‰ÇëèL‰îH‰ïèèèH‹$H‹8HƒïH;=tâHt$èëÖH‰ÅèH‰ïèH¹ÿÿÿÿÿÿÿAWAVAUATUSHƒì(L‹wL‹L‰ðL)ÀH9È„H…ÀI‰×ºI‰ôHEÐ1öH‰ýHÐL‰â@’ÆI‰ÅL)ÂH…öuH…ÀxuE1í1Ûë-„I‰ÍL‰ïH‰T$L‰D$èL‹D$H‹T$H‰ÃIÅA¶LTM)æL‹}ˆK2H‰D$H…ÒJM…öoM…Àu(fHnÃL‰mD$EHƒÄ([]A\A]A^A_Ã€L‰þL)ÆL‰ÇèëÈ„L‰ÆH‰ßL‰T$L‰D$èL‹D$L‰þL‹T$L)ÆM…ö~ÄL‰òL‰æL‰×L‰D$èL‹D$M…À„uÿÿÿë›H=èAWAVAUATUSH»ÿÿÿÿÿÿÿHƒìL‹wL‹/L‰ðL)èHÁøH9Ø„5H…ÀI‰×ºH‰ýHEÐ1ÉI‰ôHÐH‰ò’ÁL)êH…É…úH…Àu]1ÛòALLM)æL‹}K1H‰$òH…ÒŒM…ö_M…íuwfHnÁH‰]$EHƒÄ[]A\A]A^A_Ãf.„H9ØHGÃHÅH‰ßH‰$èH‹$H‰ÁHÃé{ÿÿÿfDL‰òL‰æL‰ÏH‰L$èH‹L$M…ít‰L‰þL)îë&L‰îH‰ÏL‰L$èL‰þL‹L$L)îM…öH‰ÁµL‰ïH‰L$èH‹L$éDÿÿÿfDH»øÿÿÿÿÿÿéhÿÿÿH=èvector::_M_default_appendH…ö„/AWAVAUI½ÿÿÿÿÿÿÿATL‰éUH‰ýSH‰óHƒìH‹WL‹7H‹GI‰×M)÷H)ÐM‰üHÁøIÁüL)áH9Æ†›H9ñ‚KL9æL‰àHCÆLà‚DH…À…ÆM‰øE1í1ÉIÏH‰ÚIÇHƒêt!IHÁâ1öL‰D$H‰$èH‹$L‹D$M…À±M…ö…ØLãH‰MHÙL‰mH‰EHƒÄ[]A\A]A^A_ÃfDHÇHJHƒëtHÙH‰Ï1öH)ÐHXøH‰ÚèH‰ÁHÙH‰MHƒÄ[]A\A]A^A_ÃfDÃ€L9èIGÅL,ÅL‰ïèL‹uL‹EH‰ÁIÅM)ðéÿÿÿL‰öH‰ÏL‰ÂèH‹uH‰ÁL)öL‰÷H‰$èH‹$é+ÿÿÿH‹uL)öëßH=èI½øÿÿÿÿÿÿëŽcannot create std::vector larger than max_size()ATUH‰ÕSH‰ûH‹?L‹CI)øL‰ÀHÁøH9ð‚lH‹SH‰ÑH)ùI‰ÉIÁùL9Î†ÒòEH9×tULBøH‰øI)øIÁèIƒÀHƒùt4L‰Áf(ÈHÑéfÉHÁáHùHƒÀH9ÁuôL‰ÀHƒàþH<ÇI9ÀtòòEL)ÎHÁæL2L9ÂtSL‰ÁH‰ÐH)ÑHyøHÁïHƒÇHƒþt4H‰ùf(ÈHÑéfÉHÁáHÑHƒÀH9ÈuôH‰øHƒàþHÂH9ÇtòL‰C[]A\Ã€I‰ùH…öt`HÁæòEL7L9ÏtNLFøH‰øIÁèIƒÀHƒþt5L‰Áf(ÈHÑéfÉHÁáHù@HƒÀH9ÈuôL‰ÀHƒàþH<ÇI9ÀtòL9Êt‡L‰K[]A\Ãf.„H¸ÿÿÿÿÿÿÿH9Æ‡´L$õH…ö„œL‰çèòEN H‰ÂL9ÈtKIt$øHÁîHƒÆIƒüt4H‰ñf(ÈHÑéfÉHÁáHÁHƒÀH9ÁuôH‰ñHƒáþHÊH9ÎtòH‹;L‹CI)øfHnÂfInÑL‰KflÂH…ÿ„Äþÿÿ[L‰Æ]A\é@1ÒE1ÉëËH=èwriteMPS: Trying to open file %s Cannot write fixed MPS with names of length (up to) %d Model: RHS = %s RANGES = %s BOUNDS = %s MARK%04d 'MARKER' 'INTORG' MARK%04d 'MARKER' 'INTEND' Lower bound for integer or semi-integer column "%s" is %g: not integer Upper bound for integer or semi-integer column "%s" is %g: not integer Lower bound for semi-variable "%s" is %g but writing %g Upper bound for semi-variable "%s" is %g but writing %g Model has %d zero columns with no costs: %d have finite upper bounds or nonzero lower bounds and are %swritten in MPS file Maximum name length is %d so using free format rather than fixed format readMPS: Trying to open file %s COLUMNS section contains row %-8s not in ROWS section, line: %s COLUMNS section entries contain %8d with row not in ROWS section: ignored RHS section contains row %-8s not in ROWS section, line: %s Using RHS value of %g for N-row in MPS file as negated objective offset RHS section entries contain %8d with row not in ROWS section: ignored RANGES section contains row %-8s not in ROWS section, line: %s RANGES section entries contain %8d with row not in ROWS section: ignored BOUNDS section contains col %-8s not in COLUMNS section, line: %s Quadratic section: under development. 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basic_string::substrQCMATRIXQSECTIONCSECTIONNAMEOBJSENSEMAXMINROWSCOLUMNSRHSBOUNDSRANGESQMATRIXQUADOBJDELAYEDROWSMODELCUTSINDICATORSSETSSOSGENCONSPWLOBJPWLNAMPWLCONENDATAreadMPS: Read NAME OK readMPS: Read OBJSENSE OK readMPS: Read RHS OK No bound given for row "%s" RHS for row "%s" is NaN readMPS: Read RANGES OK No range given for row "%s" Range for row "%s" is NaN readMPS: Read COLUMNS OK 'MARKER''INTEND''INTORG'ObjectivereadMPS: Read ROWS OK No objective row found readMPS: Read SETS OK S1S2No name given for SOS ZEROQUADRQUADPEXPPPOWDEXPDPOWUnrecognized cone type %s readMPS: Read CSECTION OK readMPS: Read %s OK readMPS: Read %s OK readMPS: Read BOUNDS OK UPLOFXMIPLBVLIUIFRSISCBound for column "%s" is NaN readMPS: Not opened file OK SOS not supported by HiGHS Cones not supported by HiGHS offchooseonsimplexipmpdlpmodel_filepresolvesolverparallelrun_crossovertime_limitoptions_filerandom_seedsolution_filerangingversionwrite_model_filewrite_presolved_model_fileread_solution_filelog_file *$ÿÿ Mìÿÿÿÿ\Ùµÿÿ3ÿÿZÈ¢ÿÿ2ÿÿ Jìÿÿÿÿÿ›) qêëÿåàÿ©´ÿÿ&Õ™¶J©ˆó¡û™Û©²Ö¡ÿÿZÿÿ_Í¥œ&Êæµ¸¦ ×µ†×ò¥ãº"µÓ™†µðXÔµåö'µÿÿsÿ›;Ö‘¡¦±ÿ›2×¡Ïÿ›"'2ÿÿLÍpÊ$Èìº$¾>²$æïº$ÒÂ$ËÊ$ñùº$ÊÊ$ ¥º$Ú#²$$Ê$$Ò$ÿÿÞÿ›}tK¹œƒ¤ã2œˆ¤›Jœ¶¤ÃMœß ¤š œÐ ¤î §œ®„ë ü¥¤´”–œ¥"Œâœ÷¤ÿ›CZ_ÿ›2×¡Ïÿ›"'2ÿÿDLŽ-ý ÈÅ•¨‹ýÌ …„•ùý«î´DýÿÿWÿÿR9F-€{"®¥“’¸ÉÁÑ„Á˜CÉ©ÁÛ€Ã ÁÕ Éú ¦´ÇÉÿÿ«ÿÿK¸€ÀŒ¹°× ¸ ±°ÿÿ½ÿÿå‘ ‘ ™ Î ‘ ÿÿžÿÿ?½é#¡$˜ñ#¥á#áß ù#Ü›é#ªù#§ß$å Où#º#"ñ#ÿÿ¥ÿ›5*;Â¢ òº ýª Ž‚² Õš Ö¿² ÿ› WMPS file reader cannot parse DELAYEDROWS section MPS file reader cannot parse MODELCUTS section MPS file reader cannot parse INDICATORS section MPS file reader cannot parse GENCONS section MPS file reader cannot parse PWLOBJ section MPS file reader cannot parse PWLNAM section MPS file reader cannot parse PWLCON section %s: __pos (which is %zu) > this->size() (which is %zu)vector::_M_range_check: __n (which is %zu) >= this->size() (which is %zu)Non-monotonic starts in MPS file reader No bound given for SIF row "%s" Row name "%s" in RHS section is not defined: ignored Row name "%s" in RHS section has duplicate definition: ignored No coefficient given for rhs of row "%s" Row name "%s" in RANGES section is not defined: ignored Row name "%s" in RANGES section is not valid: ignored Row name "%s" in RANGES section has duplicate definition: ignored Unknown specifiers in RANGES section for row "%s" Integrality marker error in COLUMNS section of MPS file Row name "%s" with spaces exceeds fixed format name length of 8 Row name "%s" with spaces has length %d, so assume fixed format No coefficient given for column "%s" Row name "%s" in COLUMNS section is not defined: ignored Coefficient for column "%s" is NaN Column "%s" has duplicate nonzero in row "%s" Entry "%s" in ROWS section of MPS file is unidentified Anomalous exit when parsing BOUNDS section of MPS file SOS type specification missing before %s. SOS specification for SOS %s mixed with SOS %s. This is currently not supported. Missing variable in SOS specification line %s. Weight for column "%s" is NaN Cone name missing in CSECTION Cone type missing in CSECTION %s No row name given in argument of %s Row name "%s" in %s section is not defined: ignored %s has no coefficient for entry "%s" in column "%s" Hessian coefficient for entry "%s" in column "%s" is NaN Number of MI entries in BOUNDS section is %d Number of PL entries in BOUNDS section is %d Number of BV entries in BOUNDS section is %d Number of LI entries in BOUNDS section is %d Number of UI entries in BOUNDS section is %d Number of SI entries in BOUNDS section is %d Number of SC entries in BOUNDS section is %d Entry in BOUNDS section of MPS file is of type "%s" Column name "%s" in BOUNDS section has duplicate definition: ignored BV row %s but [is_lb, is_ub] = [%1d, %1d] No bound given for %s row "%s" Bound for LI/UI/SI column "%s" is %g: not integer readMPS: Trying to open file %s Quadratic rows not supported by HiGHS Linear constraints %d and %d have the same name "%s" Variables %d and %d have the same name "%s" Copyright (c) 2024 HiGHS under MIT licence termsðbasic_string::_S_construct null not validAUATUSHƒìH…ö„¡I‰üH‰÷H‰õI‰ÕèH‰ÃH…ÀtDL‰ê1öH‰ÇèI‰ÅHHHƒûtJH‰ÏH‰ÚH‰îèH‰ÁL;-u@I‰$HƒÄ[]A\A]ÃH‹HHI‰$HƒÄ[]A\A]ÃfD¶EAˆEë½fDAÇEI‰]AÆDë¬H=èAWAVAUATUSH»ÿÿÿÿÿÿÿHƒìL‹wL‹/L‰ðL)èHÁøH9Ø„%H…ÀI‰×ºH‰ýHEÐ1ÉI‰ôHÐH‰ò’ÁL)êH…É…êH…ÀuU1ÛA‹LLM)æL‹}‰K1H‰$H…Ò€M…öSM…íukfHnÁH‰]$EHƒÄ[]A\A]A^A_ÃfDH9ØHGÃH…H‰ßH‰$èH‹$H‰ÁHÃë†L‰òL‰æL‰ÏH‰L$èH‹L$M…ít•L‰þL)îë&L‰îH‰ÏL‰L$èL‰þL‹L$L)îM…öH‰ÁµL‰ïH‰L$èH‹L$éPÿÿÿfDH»üÿÿÿÿÿÿépÿÿÿH=èSH‰ûH‹?H…ÿt1H‹s H)þèHÇCÇCHÇÇCHÇC [Ãcannot create std::vector larger than max_size()ATUH‰ÕSH‰ûH‹?L‹CI)øL‰ÀHÁøH9ð‚lH‹SH‰ÑH)ùI‰ÉIÁùL9Î†ÒòEH9×tULBøH‰øI)øIÁèIƒÀHƒùt4L‰Áf(ÈHÑéfÉHÁáHùHƒÀH9ÁuôL‰ÀHƒàþH<ÇI9ÀtòòEL)ÎHÁæL2L9ÂtSL‰ÁH‰ÐH)ÑHyøHÁïHƒÇHƒþt4H‰ùf(ÈHÑéfÉHÁáHÑHƒÀH9ÈuôH‰øHƒàþHÂH9ÇtòL‰C[]A\Ã€I‰ùH…öt`HÁæòEL7L9ÏtNLFøH‰øIÁèIƒÀHƒþt5L‰Áf(ÈHÑéfÉHÁáHù@HƒÀH9ÈuôL‰ÀHƒàþH<ÇI9ÀtòL9Êt‡L‰K[]A\Ãf.„H¸ÿÿÿÿÿÿÿH9Æ‡´L$õH…ö„œL‰çèòEN 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H)þèH‹»à H…ÿtH‹³ð H)þèH‹»È H…ÿtH‹³Ø H)þèH‹»° H…ÿtH‹³À H)þèH‹» èH‹» èH‹»€ èH‹»p èH‹»@ H…ÿtH‹³P H)þèH‹»( H…ÿtH‹³8 H)þèH‹»øèH‹»èèH‹»ØèH‹»ÈèH‹»¨H…ÿtH‹³¸H)þèH‹»H…ÿtH‹³ H)þèH‹»xH…ÿtH‹³ˆH)þèH‹»`H…ÿtH‹³pH)þèH‹»HH…ÿtH‹³XH)þèH‹»(H…ÿtH‹³8H)þèH‹»H…ÿtH‹³ H)þèH‹»øH…ÿtH‹³H)þèH‹»àH…ÿtH‹³ðH)þèH‹»ÈH…ÿtH‹³ØH)þèHHH‹»¸fHnÊfHnÐLr(flÊL‰³Ð)$‹pH…ÿtH‹³ÈH)þèL‹%H»°L-ID$H‰ƒxèH‹-L‰«pH»ÐHEH‰ƒÐèfo$H‹»PL‰³h›H…ÿtH‹³`H)þèL‹5H»HIFfHnÀH‹HƒÀfHnàID$H‰ƒflÄ)$èHEL‰«H»hH‰ƒhèIF@fo$H»H‰ƒðƒøèH»hèID$H»8H‰ƒèH‹H»ðH‹PH‹@H‰“øH‹RèH‰„øHEH‰ƒðHƒÄ[]A\A]A^éH‰Çèèëˆÿ›Ç µSH‰ûH‹¿€H…ÿtH‹³H)þèH‹{hH…ÿtH‹sxH)þèH‹{PH…ÿtH‹s`H)þèH‹{8H…ÿtH‹sHH)þèH‹{ H…ÿtH‹s0H)þèH‹{H…ÿtH‹s[H)þé€[ÃIpx: Solved Ipx: Stopped Ipx: Out of memory Ipx: Internal error %d IPM CrossoverIpx: %s not run Ipx: %s optimal Ipx: %s imprecise Ipx: %s primal infeasible Ipx: %s dual infeasible Ipx: %s user interrupt Ipx: %s reached time limit Ipx: %s no progress Ipx: %s failed Ipx: %s debug Ipx: %s unrecognised status Ipx: %s Ipx: %s %d IPX Solve data IPX status = %4d IPM status = %4d Crossover status = %4d IPX errflag = %4d LP variables = %8d LP constraints = %8d LP entries = %8d Solver columns = %8d Solver rows = %8d Solver entries = %8d Dualized = %d Dependent rows = %d Dependent cols = %d Inconsistent rows = %d Inconsistent cols = %d Primal dropped = %d Dual dropped = %d |x| = %11.4g |y| = %11.4g |z| = %11.4g IPM iter = %d KKT iter 1 = %d KKT iter 2 = %d Basis repairs = %d Updates start = %d Updates ipm = %d Updates crossover = %d Time FTRAN = %8.2f Time BTRAN = %8.2f Time LU INVERT = %8.2f Time LU UPDATE = %8.2f offchooseonsimplexipmpdlpmodel_filepresolvesolverparallelrun_crossovertime_limitoptions_filerandom_seedsolution_filerangingversionwrite_model_filewrite_presolved_model_fileread_solution_filelog_fileIpx: Invalid input - argument_null Ipx: Invalid input - invalid dimension Ipx: Invalid input - invalid matrix Ipx: Invalid input - invalid vector Ipx: Invalid input - invalid basis Ipx: Invalid input - unrecognised error Ipx: unrecognised solve status = %d Ipx: %s reached iteration limit No progress: primal objective value = %11.4g No progress: max absolute primal residual = %11.4g No progress: max absolute dual residual = %11.4g cannot create std::vector larger than max_size() Number of dense columns detected = %d |Absolute primal residual| = %11.4g |Absolute dual residual| = %11.4g |Relative primal residual| = %11.4g |Relative dual residual| = %11.4g Primal objective value = %11.4g Dual objective value = %11.4g Relative objective gap = %11.4g Complementarity = %11.4g Objective value = %11.4g Primal infeasibility = %11.4g Dual infeasibility = %11.4g Time total = %8.2f Time IPM 1 = %8.2f Time IPM 2 = %8.2f Time starting basis = %8.2f Time crossover = %8.2f Sum = %8.2f Time kkt_factorize = %8.2f Time kkt_solve = %8.2f Time maxvol = %8.2f Time cr1 = %8.2f Time cr2 = %8.2f Time cr1_AAt = %8.2f Time cr1_pre = %8.2f Sum cr1 = %8.2f Time cr2_NNt = %8.2f Time cr2_B = %8.2f Time cr2_Bt = %8.2f Sum cr2 = %8.2f Proportion of sparse FTRAN = %11.4g Proportion of sparse BTRAN = %11.4g Mean fill-in = %11.4g Max fill-in = %11.4g Time symb INVERT = %11.4g Maxvol updates = %d Maxvol skipped = %d Maxvol passes = %d Tableau num nonzeros = %d Tbl max? = %11.4g Frobnorm squared = %11.4g Lambda max = %11.4g Volume increase = %11.4g HighsTimer: reading clock %d: %s IPX model has %d rows, %d columns and %d nonzeros IPX crossover getting basic solution: flag = %d Failed to convert IPX basic solution to Highs basic solution Copyright (c) 2024 HiGHS under MIT licence termsH‹D$HxèL9ït Ht$èH‰ïèI9Üt Ht$L‰çèH‰ïèI9Üt Ht$L‰çèH‰ïèI9Üt Ht$L‰çèH‰ïèI9Üt Ht$L‰çèH‰ïèI9Üt Ht$L‰çèH‰ïèI9Üt Ht$L‰çèH‰ïèI9Üt Ht$L‰çèH‰ïèI9Üt Ht$L‰çèH‰ïèI9Üt Ht$L‰çèH‰ïèI9Üt Ht$L‰çèH‰ïèI9Üt Ht$L‰çèH‰ïèI9Üt Ht$L‰çèH‰ïèL9åt Ht$H‰ïèL‰ïèL9åt Ht$H‰ïèL‰ïèL9åt Ht$H‰ïèL‰ïèL9åt Ht$H‰ïèL‰ïèL9åt Ht$H‰ïèL‰ïèL9åt Ht$H‰ïèL‰ïèH9Ýt Ht$H‰ïèL‰çèH9Ýt Ht$H‰ïèL‰çèH9Ýt Ht$H‰ïèL‰çèH9Ýt Ht$H‰ïèL‰çèH9Ýt Ht$H‰ïèL‰çèH9Ýt Ht$H‰ïèL‰çèH9Ýt Ht$H‰ïèL‰çèH9Ýt Ht$H‰ïèL‰çèH‹}°H‹uÀH)þH…ÿtèH‹}H‹u 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¶ƒðˆ„$¨èA‰ÄH‹„$H…ÀtH¼$€ºH‰þÿÐH‹D$HxèH9ïu}H‹¼$H…ÿtH‹´$H)þèH‹¼$èH…ÿtH‹´$øH)þèH‹¼$ÐH…ÿtH‹´$àH)þèH‹¼$¸H…ÿ„òüÿÿH‹´$ÈH)þèéÝüÿÿL‰öèç<þÿévÿÿÿE1äéºýÿÿÇ@HÇÆ@#édþÿÿH‰ÃL¼$°éH‰ÃéH‰ÃéH‰ÅéH‰ÃéÃD‹GH‹wH‹GD‰ÇÿàÃ¾(éUHH‰ýSHƒìH‰H‹—¨H‹¿ H9út=1Û„L‹ßM…ÀtI‹L‰ÇÿPH‹•¨H‹½ H‰ÐHƒÃH)øHÁøH9ØwÍH…ÿtH‹µ°HƒÄ[]H)þéHƒÄ[]Ã¾é¾éH‹GH…ÀtH‹xøéfDÃQP solver has exceeded nullspace limit of %d Set supplied to Highs::%s has illegal size of %d Set supplied to Highs::%s contains duplicate entries Set supplied to Highs::%s not ordered Set supplied to Highs::%s has entry %d of %d out of range [0, %d) %11d %15.8g %6d %9.2fs cannot create std::vector larger than max_size()Empty file name so not reading options Cannot define empty model names Cannot get ill-conditioning without a valid basis Calling Highs::getIis for a model that is known to be feasible Calling Highs::getIis for a model with status %s getBasicVariables: basic_variables is NULL getBasisInverseRow: row_vector is NULL Row index %d out of range [0, %d] in getBasisInverseRow getBasisInverseCol: col_vector is NULL Column index %d out of range [0, %d] in getBasisInverseCol getBasisSolve: solution_vector is NULL getBasisTransposeSolve: Xrhs is NULL getBasisTransposeSolve: solution_vector is NULL getReducedColumn: col_vector is NULL Column index %d out of range [0, %d] in getReducedColumn Cannot start callback when user_callback not defined Cannot stop callback when user_callback not defined setBasis: User basis is rejected due to mismatch between size of column and row status vectors (%d, %d) and number of columns and rows in the model (%d, %d) Highs::setBasis Was alien = %-5s; Id = %9d; UpdateCount = %4d; Origin (%s) Index %d for column name is outside the range [0, num_col = %d) Index %d for column name is outside the range [0, num_col_name = %d) Index %d for column integrality is outside the range [0, num_col = %d) Model integrality does not exist for index %d Index %d for row name is outside the range [0, num_row = %d) Index %d for row name is outside the range [0, num_row_name = %d) Method %s is deprecated: no alternative method Method %s is deprecated: alternative method is %s Cannot open writable file "%s" in %s Writing the option values to %s Writing the info values to %s Objective value : %17.10e Relative P-D gap : %17.10e Cannot determine ranging information for MIP or QP Index %d for row name %s is outside the range [0, num_row = %d) Cannot define empty column names Index %d for column name %s is outside the range [0, num_col = %d) getReducedRow: row_vector is NULL Row index %d out of range [0, %d] in getReducedRow Highs::getColByName: name %s is not found Highs::getColByName: name %s is duplicated Highs::getRowByName: name %s is not found Highs::getRowByName: name %s is duplicated returnFromHighs: Supposed to be a HiGHS basis, but not consistent returnFromHighs: Retained Ekk data not OK Highs::returnFromHighs() called with called_return_from_run false HighsTimer: querying clock %d: %s - with start record %g LP Dimension error in returnFromHighs() Highs::returnFromHighs(): LP and HFactor have inconsistent numbers of rows Model has either no columns or no rows, so ignoring user constraint matrix data and initialising empty matrix Hessian has dimension %d but no nonzeros, so is ignored Model has illegal constraint matrix format Model has illegal Hessian matrix format Model has illegal integer value of %d for integrality[%d] User cost scaling yields zeroed or excessive Hessian values Model has repeated column names setSolution: User solution is rejected due to mismatch between size of col_value and row_dual vectors (%d, %d) and number of columns and rows in the model (%d, %d) setHotStart: invalid hot start freezeBasis: no simplex factorization to freeze unfreezeBasis: no simplex information to unfreeze putIterate: no simplex iterate to put getIterate: no simplex iterate to get Interval [%d, %d] supplied to Highs::changeColsIntegrality is out of range [0, %d) Interval [%d, %d] supplied to Highs::changeColsCost is out of range [0, %d) Interval [%d, %d] supplied to Highs::changeColsBounds is out of range [0, %d) Interval [%d, %d] supplied to Highs::changeRowsBounds is out of range [0, %d) Row %d supplied to Highs::changeCoeff is not in the range [0, %d] Col %d supplied to Highs::changeCoeff is not in the range [0, %d] |Value| of %g supplied to Highs::changeCoeff is in (0, %g]: zeroes any existing coefficient, otherwise ignored Interval [%d, %d] supplied to Highs::getCols is out of range [0, %d) Interval [%d, %d] supplied to Highs::getRows is out of range [0, %d) Row %d supplied to Highs::getCoeff is not in the range [0, %d] Col %d supplied to Highs::getCoeff is not in the range [0, %d] Interval [%d, %d] supplied to Highs::deleteCols is out of range [0, %d) Interval [%d, %d] supplied to Highs::deleteRows is out of range [0, %d) Highs::returnFromRun: return_status = %d != %d = run_return_status For model_status_ = %s returnFromHighs: HighsModelStatus::kUnboundedOrInfeasible is not permitted Cannot apply crossover to solve MIP Cannot apply crossover to solve QP Primal solution provided to postsolve is incorrect size Basis provided to postsolve is incorrect size or inconsistent Postsolve performed for MIP, but model status cannot be known Postsolve return status is %d Dual solution provided to postsolve is incorrect size Solving the original LP from the solution after postsolvePure postsolve yields primal %ssolution, but no basis: model status is %s highsStatusFromHighsModelStatusCannot run postsolve with presolve status: %s Time limit reached while reading in matrix Time limit set: reading matrix took %.2g, presolve time left: %.2g Time limit reached while copying matrix into presolve. Time limit set: copying matrix took %.2g, presolve time left: %.2g presolve_.run() returns status: %s Model contains infinite costs or semi-variables, so cannot be presolved independently Option 'threads' is set to %d but global scheduler has already been initialized to use %d threads. The previous scheduler instance can be destroyed by calling Highs::resetGlobalScheduler(). Presolve fails due to memory allocation error Hessian dimension = %d is incompatible with matrix dimension = %d Iteration Objective NullspaceDim Inconsistent max bound violation: MIP solver (%10.4g); LP (%10.4g); Difference of %10.4g WARNING: max_threads() returns %d Highs::run() called with called_return_from_run false Cannot solve a model with a |value| exceeding %g in constraint matrix Cannot solve MIQP problems with HiGHS Cannot solve non-convex QP problems with HiGHS Solving LP relaxation since%s%s%s ICrash error: unknown strategy. Crossover following iCrash has return status of %s, and problem status is %s LP without presolve, or with basis, or unconstrainedSolving LP without presolve, or with basis, or unconstrainedProblem not reduced by presolve: solving the LPProblem status detected on presolve: %s Solving the original LP with primal simplex to determine infeasible or unboundedAfter returning from postsolveRequired %d simplex iterations after postsolve : Solve presolved LP %8.2f (%3d%%): Solve original LP %8.2f (%3d%%)Strange: Solve time = %g; Sum times = %g: relative difference = %g User-supplied values of discrete variables cannot yield feasible solution Attempting to find feasible solution by solving LP for user-supplied values of discrete variables User-supplied values fix only %d / %d discrete variables, so attempt to complete a feasible solution may be expensive Attempting to find feasible solution by solving MIP for user-supplied values of %d / %d discrete variables Highs::run() error trying to find feasible solution setSolution: User solution index %d has value %d out of range [0, %d)setSolution: User solution value %d of %g is infeasible for bounds [%g, %g]setSolution: User set of indices has %d duplicate%s: last value used Copyright (c) 2024 HiGHS under MIT licence termsATSH‰ûHƒìH‹~H5H9÷tE1ä€?*t è…ÀuLcHƒÄL‰à[A\ÃH‹HƒÀH‰éH‹UH‰ýHƒÀH‰èH‰ï¾ ]éÆG8Æ‡˜H‹ðÿÃUHH‰ýSHƒìH‰H‹—¨H‹¿ H9út=1Û„L‹ßM…ÀtI‹L‰ÇÿPH‹•¨H‹½ H‰ÐHƒÃH)øHÁøH9ØwÍH…ÿtH‹µ°H)þèHƒÄH‰ï¾¸[]éAVHAUATI‰üUSHƒìL‹¯€H‹oxH‰I9ít>Hƒ=H‹Lt$…DH‹EHxèH9ß…§HƒÅI9íuæI‹l$xH…ítI‹´$ˆH‰ïH)îèM‹l$hI‹l$`I9ítAHƒ=H‹Lt$…è„H‹EHxèH9ß…HƒÅI9íuæI‹l$`H…ítI‹t$pH‰ïH)îèI‹|$HH…ÿt I‹t$XH)þèI‹|$0H…ÿt I‹t$@H)þèI‹|$H…ÿt I‹t$(H)þèHƒÄL‰ç¾¨[]A\A]A^éfDH‹EHxèH9ßuHƒÅI9í„ýþÿÿH‹EHxèH9ßtæºÿÿÿÿðÁPø…ÒØL‰öèëÎfDH‹EHxèH9ßuHƒÅI9í„ÿÿÿH‹EHxèH9ßtæºÿÿÿÿðÁPø…ÒØL‰öèëÎfD‹PøJÿ‰Hø…ÒØþÿÿL‰öèéËþÿÿf.„‹PøJÿ‰Hø…ÒHþÿÿL‰öèé;þÿÿAVHAUATI‰üUSHƒìL‹¯€H‹oxH‰I9ít>Hƒ=H‹Lt$…ýDH‹EHxèH9ß…—HƒÅI9íuæI‹l$xH…ítI‹´$ˆH‰ïH)îèM‹l$hI‹l$`I9ítAHƒ=H‹Lt$…à„H‹EHxèH9ß…HƒÅI9íuæI‹l$`H…ítI‹t$pH‰ïH)îèI‹|$HH…ÿt I‹t$XH)þèI‹|$0H…ÿt I‹t$@H)þèI‹|$H…ÿ„ðI‹t$(HƒÄ[]H)þA\A]A^é€H‹EHxèH9ßuHƒÅI9í„ÿÿÿH‹EHxèH9ßtæºÿÿÿÿðÁPø…ÒØL‰öèëÎfDH‹EHxèH9ßuHƒÅI9í„%ÿÿÿH‹EHxèH9ßtæºÿÿÿÿðÁPø…ÒØL‰öèëÎfD‹PøJÿ‰Hø…ÒàþÿÿL‰öèéÓþÿÿf‹PøJÿ‰Hø…ÒXþÿÿL‰öèéKþÿÿfHƒÄ[]A\A]A^ÃUHSH‰ûHƒìH‰H‹GH‹-HxèH9ïuH‹CHxèH9ïu4HƒÄ[]ÃDHƒ=uV‹PøJÿ‰Hø…ÒÐHt$èëÄDHƒ=u‹PøJÿ‰Hø…ÒµHt$èë©DºÿÿÿÿðÁPøëß@ºÿÿÿÿðÁPøë§UHSH‰ûHƒìH‰H‹GH‹-HxèH9ïuH‹CHxèH9ïu4HƒÄ[]ÃDHƒ=uV‹PøJÿ‰Hø…ÒÐHt$èëÄDHƒ=u‹PøJÿ‰Hø…ÒµHt$èë©DºÿÿÿÿðÁPøëß@ºÿÿÿÿðÁPøë§UHSH‰ûHƒìH‰H‹GH‹-HxèH9ïuH‹CHxèH9ïu4HƒÄ[]ÃDHƒ=uV‹PøJÿ‰Hø…ÒÐHt$èëÄDHƒ=u‹PøJÿ‰Hø…ÒµHt$èë©DºÿÿÿÿðÁPøëß@ºÿÿÿÿðÁPøë§UHSH‰ûHƒìH‰H‹GH‹-HxèH9ïuH‹CHxèH9ïu4HƒÄ[]ÃDHƒ=uV‹PøJÿ‰Hø…ÒÐHt$èëÄDHƒ=u‹PøJÿ‰Hø…ÒµHt$èë©DºÿÿÿÿðÁPøëß@ºÿÿÿÿðÁPøë§UHSH‰ûHƒìH‰H‹GH‹-HxèH9ïuH‹CHxèH9ïu4HƒÄ[]ÃDHƒ=uV‹PøJÿ‰Hø…ÒÐHt$èëÄDHƒ=u‹PøJÿ‰Hø…ÒµHt$èë©DºÿÿÿÿðÁPøëß@ºÿÿÿÿðÁPøë§UHSH‰ûHƒìH‰H‹GH‹-HxèH9ïuH‹CHxèH9ïu4HƒÄ[]ÃDHƒ=uV‹PøJÿ‰Hø…ÒÐHt$èëÄDHƒ=u‹PøJÿ‰Hø…ÒµHt$èë©DºÿÿÿÿðÁPøëß@ºÿÿÿÿðÁPøë§UHSH‰ûHƒìH‰H‹GH‹-HxèH9ïuH‹CHxèH9ïu4HƒÄ[]ÃDHƒ=uV‹PøJÿ‰Hø…ÒÐHt$èëÄDHƒ=u‹PøJÿ‰Hø…ÒµHt$èë©DºÿÿÿÿðÁPøëß@ºÿÿÿÿðÁPøë§UHSH‰ûHƒìH‰H‹GH‹-HxèH9ïuH‹CHxèH9ïu4HƒÄ[]ÃDHƒ=uV‹PøJÿ‰Hø…ÒÐHt$èëÄDHƒ=u‹PøJÿ‰Hø…ÒµHt$èë©DºÿÿÿÿðÁPøëß@ºÿÿÿÿðÁPøë§UHH‰ýSHƒìH‰H‹GH‹HxèH9ßu)H‹EHxèH9ßuDHƒÄH‰ï¾([]éf„Hƒ=uV‹PøJÿ‰Hø…ÒÀHt$èë´DHƒ=u‹PøJÿ‰Hø…Ò¥Ht$èë™DºÿÿÿÿðÁPøëß@ºÿÿÿÿðÁPøë§UHH‰ýSHƒìH‰H‹GH‹HxèH9ßu)H‹EHxèH9ßuDHƒÄH‰ï¾([]éf„Hƒ=uV‹PøJÿ‰Hø…ÒÀHt$èë´DHƒ=u‹PøJÿ‰Hø…Ò¥Ht$èë™DºÿÿÿÿðÁPøëß@ºÿÿÿÿðÁPøë§UHH‰ýSHƒìH‰H‹GH‹HxèH9ßu)H‹EHxèH9ßuDHƒÄH‰ï¾8[]éf„Hƒ=uV‹PøJÿ‰Hø…ÒÀHt$èë´DHƒ=u‹PøJÿ‰Hø…Ò¥Ht$èë™DºÿÿÿÿðÁPøëß@ºÿÿÿÿðÁPøë§UHH‰ýSHƒìH‰H‹GH‹HxèH9ßu)H‹EHxèH9ßuDHƒÄH‰ï¾H[]éf„Hƒ=uV‹PøJÿ‰Hø…ÒÀHt$èë´DHƒ=u‹PøJÿ‰Hø…Ò¥Ht$èë™DºÿÿÿÿðÁPøëß@ºÿÿÿÿðÁPøë§UHH‰ýSHƒìH‰H‹GH‹HxèH9ßu)H‹EHxèH9ßuDHƒÄH‰ï¾8[]éf„Hƒ=uV‹PøJÿ‰Hø…ÒÀHt$èë´DHƒ=u‹PøJÿ‰Hø…Ò¥Ht$èë™DºÿÿÿÿðÁPøëß@ºÿÿÿÿðÁPøë§UHH‰ýSHƒìH‰H‹GH‹HxèH9ßu)H‹EHxèH9ßuDHƒÄH‰ï¾8[]éf„Hƒ=uV‹PøJÿ‰Hø…ÒÀHt$èë´DHƒ=u‹PøJÿ‰Hø…Ò¥Ht$èë™DºÿÿÿÿðÁPøëß@ºÿÿÿÿðÁPøë§UHH‰ýSHƒìH‰H‹GH‹HxèH9ßu)H‹EHxèH9ßuDHƒÄH‰ï¾8[]éf„Hƒ=uV‹PøJÿ‰Hø…ÒÀHt$èë´DHƒ=u‹PøJÿ‰Hø…Ò¥Ht$èë™DºÿÿÿÿðÁPøëß@ºÿÿÿÿðÁPøë§UHH‰ýSHƒìH‰H‹GH‹HxèH9ßu)H‹EHxèH9ßuDHƒÄH‰ï¾@[]éf„Hƒ=uV‹PøJÿ‰Hø…ÒÀHt$èë´DHƒ=u‹PøJÿ‰Hø…Ò¥Ht$èë™DºÿÿÿÿðÁPøëß@ºÿÿÿÿðÁPøë§UHSH‰ûHƒìH‰H‹G0H‹-HxèH9ïu1HH‰H‹CHxèH9ïuBH‹CHxèH9ïu]HƒÄ[]ÃfDHƒ=un‹PøJÿ‰Hø…Ò¸Ht$èë¬DHƒ=uf‹PøJÿ‰Hø…Ò§Ht$èë›DHƒ=u.‹PøJÿ‰Hø…ÒŒHt$èë€DºÿÿÿÿðÁPøë@ºÿÿÿÿðÁPøëÏ@ºÿÿÿÿðÁPøë—UHH‰ýSHƒìH‰H‹G0H‹HxèH9ßu9HH‰EH‹EHxèH9ßuIH‹EHxèH9ßudHƒÄH‰ï¾8[]éHƒ=uv‹PøJÿ‰Hø…Ò°Ht$èë¤DHƒ=un‹PøJÿ‰Hø…Ò Ht$èë”DHƒ=u6‹PøJÿ‰Hø…Ò…Ht$èévÿÿÿf.„ºÿÿÿÿðÁPøë‡@ºÿÿÿÿðÁPøëÇ@ºÿÿÿÿðÁPøëQP solver model status: %s 1.8.0222cce7deprecatedreadBasis: invalid basis getBasisSolve: Xrhs is NULL setBasis: invalid basis NonewmpsModel name : %s Model status : %s Simplex iterations: %d IPM iterations: %d Crossover iterations: %d PDLP iterations: %d QP ASM iterations: %d HiGHS run time : %13.2f Writing the solution to %s # Basis getRangingInterface # Ranging Not presolvedInfeasibleTimeoutModel file %s not supported Model has repeated row names Writing the model to %s writeModelToFileWriting the basis to %s calculateRowValuesQuadchangeColsCostchangeColsBoundschangeColBoundschangeRowsBoundschangeRowBoundsN/ARun HiGHSPresolveSolvePostsolveand dual Postsolve finished : after postsolvePostsolve LPcallSolveLpPresolve status: %s QPMIP solve_relaxation is true andRunning with %d thread(s) assessLpSolving model: %s callSolveQpcallSolveMip solver = basisForSolutionOriginal LPNot presolved: solving the LPUnreduced LPcleanBoundsPresolved LPSolving the presolved LPPresolve to emptysimplexPresolve reached timeout Presolve returned status %d Postsolve : Postsolve : %d Time : %8.2f Time Pre : %8.2f Time PreLP : %8.2f Time PostLP: %8.2f For LP %16s: Presolve %8.2f (%3d%%): Postsolve %8.2f (%3d%%) soffchooseonipmpdlpmodel_filepresolvesolverparallelrun_crossovertime_limitoptions_filerandom_seedsolution_filerangingversionwrite_model_filewrite_presolved_model_fileread_solution_filelog_fileH‹D$HxèH;=t Ht$èH‰ïèèL‰óHl$L9ûuèèH\$L;<$u#èH‹HxèH;=tH‰îèHƒÃëÃH‹$H‹HxèH;=H‰D$tH‰ÞèHƒ$ë¯H‰ÅèH‰ïèM…ötL‰îL‰÷èèH‰ÅèH‰ïèH‰ÅèH‰ïèH‹D$`H…Àt ºL‰þL‰ÿÿÐH‰ïèH‹D$HxèH;=t Ht$èH‹D$`H…ÀtH|$PºH‰þÿÐH‰ïèH‹D$@H…ÀtH|$0ºH‰þÿÐH‰ïèH‹D$@H…Àt ºL‰öL‰÷ÿÐH‰ïèH‹D$HxèH;=t Ht$èH‹D$`H…ÀtH|$PºH‰þÿÐH‰ïèH‹D$`H…Àt ºL‰îL‰ïÿÐH‰ïèH‹„$ÀH…Àt ºL‰þL‰ÿÿÐH‹D$ HxèH;=t H´$€èH‹D$(HxèH;=t H´$€èH‰ïèH‰ßèH‹„$ÀH…Àt¥H¼$°ºH‰þÿÐë‘H‹|$HH‹t$XH)þH…ÿtèH‹D$@HxèH;=t H´$€èH‰ïèH‹|$0H‹t$@H)þH…ÿtèH‹|$H‹t$ H)þH…ÿtèH‰ïèH‹<$H‹t$H)þH…ÿtèL‰çèH‹D$PH…Àt ºL‰öL‰÷ÿÐH‹D$HxèL9çt 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H9ûtHˆJHJH9Ët<¶HzˆJH9ût-ˆJHJH9Ët!¶HzˆJH9ûtˆJHJH9Ët¶ˆJH÷ÐHÃHÞH‰uHƒÄ[]A\A]A^A_ÃfDÃ€¶HƒÂˆJÿH9ÓtÇ¶HƒÂˆJÿH9Óuâë¶„¶HƒÀˆHÿH9Ç„Mþÿÿ¶HƒÀˆHÿH9ÇuÞé9þÿÿf„L‰îL‰÷èH‹uL)îL‰ïèé#þÿÿI‰÷L‰ÿèL‹mH‹UI‰ÆIÇL)êéÀüÿÿ€H‹uL)îëÁE1ÒéSýÿÿE1Àé›þÿÿH=èAWAVAUATUSH»ÿÿÿÿÿÿÿHƒìL‹wL‹/L‰ðL)èHÁøH9Ø„%H…ÀI‰×ºH‰ýHEÐ1ÉI‰ôHÐH‰ò’ÁL)êH…É…êH…ÀuU1ÛI‹LLM)æL‹}H‰K1H‰$H…ÒM…öRM…íujfHnÁH‰]$EHƒÄ[]A\A]A^A_ÃDH9ØHGÃHÅH‰ßH‰$èH‹$H‰ÁHÃë†L‰òL‰æL‰ÏH‰L$èH‹L$M…ít–L‰þL)îë&L‰îH‰ÏL‰L$èL‰þL‹L$L)îM…öH‰ÁµL‰ïH‰L$èH‹L$éQÿÿÿfDH»øÿÿÿÿÿÿépÿÿÿH=èH‰òH‹wH;wtH‹HƒÆH‰FøH‰wÃéPresolve option: "off", "choose" or "on"Solver option: "simplex", "choose", "ipm" or "pdlp". If "simplex"/"ipm"/"pdlp" is chosen then, for a MIP (QP) the integrality constraint (quadratic term) will be ignoredParallel option: "off", "choose" or "on"Run IPM crossover: "off", "choose" or "on"Compute cost, bound, RHS and basic solution ranging: "off" or "on"Limit on |cost coefficient|: values greater than or equal to this will be treated as infiniteLimit on |constraint bound|: values greater than or equal to this will be treated as infiniteLower limit on |matrix entries|: values less than or equal to this will be treated as zeroUpper limit on |matrix entries|: values greater than or equal to this will be treated as infiniteObjective bound for termination of the dual simplex solverObjective target for termination of the MIP solverNumber of threads used by HiGHS (0: automatic)Exponent of power-of-two bound scaling for modelExponent of power-of-two cost scaling for modelStrategy for simplex solver 0 => Choose; 1 => Dual (serial); 2 => Dual (PAMI); 3 => Dual (SIP); 4 => PrimalSimplex scaling strategy: off / choose / equilibration / forced equilibration / max value 0 / max value 1 (0/1/2/3/4/5)Strategy for simplex crash: off / LTSSF / Bixby (0/1/2)simplex_dual_edge_weight_strategyStrategy for simplex dual edge weights: Choose / Dantzig / Devex / Steepest Edge (-1/0/1/2)simplex_primal_edge_weight_strategyStrategy for simplex primal edge weights: Choose / Dantzig / Devex / Steepest Edge (-1/0/1/2)Iteration limit for simplex solver when solving LPs, but not subproblems in the MIP solverLimit on the number of simplex UPDATE operationsMinimum level of concurrency in parallel simplexMaximum level of concurrency in parallel simplexEnables or disables solver outputEnables or disables console loggingWrite the primal and dual solution to a fileStyle of solution file (raw = computer-readable, pretty = human-readable): -1 => HiGHS old raw (deprecated); 0 => HiGHS raw; 1 => HiGHS pretty; 2 => Glpsol raw; 3 => Glpsol pretty; 4 => HiGHS sparse rawLocation of cost row for Glpsol file: -2 => Last; -1 => None; 0 => None if empty, otherwise data file location; 1 <= n <= num_row => Location n; n > num_row => LastiCrash approximate minimization iterationsExact subproblem solution for iCrashWrite the presolved model to a fileWhether MIP symmetry should be detectedWhether MIP restart is permittedMIP solver max number of nodesMIP solver max number of nodes where estimate is above cutoff boundMIP solver max number of nodes when completing a partial MIP startWhether improving MIP solutions should be savedmip_improving_solution_report_sparseWhether improving MIP solutions should be reported in sparse formatFile for reporting improving MIP solutions: not reported for an empty string \"\"MIP solver max number of leaf nodesLimit on the number of improving solutions found to stop the MIP solver prematurelyMaximal age of dynamic LP rows before they are removed from the LP relaxation in the MIP solverMaximal age of rows in the MIP solver cutpool before they are deletedSoft limit on the number of rows in the MIP solver cutpool for dynamic age adjustmentMinimal number of observations before MIP solver pseudo costs are considered reliablemip_min_cliquetable_entries_for_parallelismMinimal number of entries in the MIP solver cliquetable before neighbourhood queries of the conflict graph use parallel processingEffort spent for MIP heuristicsTolerance on relative gap, |ub-lb|/|ub|, to determine whether optimality has been reached for a MIP instanceTolerance on absolute gap of MIP, |ub-lb|, to determine whether optimality has been reached for a MIP instanceIteration limit for IPM solverUse native termination for PDLP solver: Default = falseScaling option for PDLP solver: Default = trueIteration limit for PDLP solverRestart mode for PDLP solver: 0 => none; 1 => GPU (default); 2 => CPU Duality gap tolerance for PDLP solver: Default = 1e-4Strategy for IIS calculation: Prioritise rows (default) / Prioritise columns (0/1)Output development messages: 0 => none; 1 => info; 2 => verboseSolve the relaxation of discrete model componentsAllow ModelStatus::kUnboundedOrInfeasibleuse_implied_bounds_from_presolveUse relaxed implied bounds from presolvelp_presolve_requires_basis_postsolvePrevents LP presolve steps for which postsolve cannot maintain a basisUse the free format MPS file readerFor multiple N-rows in MPS files: delete rows / delete entries / keep rows (-1/0/1)Largest power-of-two factor permitted when scaling the constraint matrixLargest power-of-two factor permitted when scaling the costsStrategy for dualizing before IPXStrategy for dualizing before simplexStrategy for permuting before simplexmax_dual_simplex_cleanup_levelMax level of dual simplex cleanupmax_dual_simplex_phase1_cleanup_levelMax level of dual simplex phase 1 cleanupsimplex_unscaled_solution_strategyStrategy for solving unscaled LP in simplexsimplex_initial_condition_checkPerform initial basis condition check in simplexno_unnecessary_rebuild_refactorNo unnecessary refactorization on simplex rebuildsimplex_initial_condition_toleranceTolerance on initial basis condition in simplexrebuild_refactor_solution_error_toleranceTolerance on solution error when considering refactorization on simplex rebuilddual_steepest_edge_weight_error_toleranceTolerance on dual steepest edge weight errorsdual_steepest_edge_weight_log_error_thresholdThreshold on dual steepest edge weight errors for Devex switchdual_simplex_cost_perturbation_multiplierDual simplex cost perturbation multiplier: 0 => no perturbationprimal_simplex_bound_perturbation_multiplierPrimal simplex bound perturbation multiplier: 0 => no perturbationdual_simplex_pivot_growth_toleranceDual simplex pivot growth toleranceMatrix factorization pivot threshold for substitutions in presolveLimit on number of presolve reductions -1 => no limitrestart_presolve_reduction_limitLimit on number of further presolve reductions on restart in MIP solver -1 => no limit, otherwise, must be positiveBit mask of presolve rules that are not allowedLog effectiveness of presolve rules for LPpresolve_substitution_maxfillinMaximal fillin allowed for substitutions in presolveMatrix factorization pivot thresholdMatrix factorization pivot toleranceTolerance to be satisfied before IPM crossover will startUse original HFactor logic for sparse vs hyper-sparse TRANsCheck whether LP is candidate for LiDSEless_infeasible_DSE_choose_rowUse LiDSE if LP has right propertiesMaximum number of steps to use (default = 5) when computing the analytic centreCentring stops when the ratio max(x_j*s_j) / min(x_j*s_j) is below this tolerance (default = 100)Time limit (seconds)infinite_costinfinite_boundsmall_matrix_valuelarge_matrix_valueprimal_feasibility_tolerancePrimal feasibility tolerancedual_feasibility_toleranceDual feasibility toleranceipm_optimality_toleranceIPM optimality toleranceobjective_boundobjective_targetRandom seed used in HiGHSthreadsuser_bound_scaleuser_cost_scalehighs_debug_levelDebugging level in HiGHShighs_analysis_levelAnalysis level in HiGHSsimplex_strategysimplex_scale_strategysimplex_crash_strategysimplex_iteration_limitsimplex_update_limitsimplex_min_concurrencysimplex_max_concurrencyoutput_flaglog_to_consoleSolution fileLog filewrite_solution_to_filewrite_solution_styleglpsol_cost_row_locationicrashRun iCrashicrash_dualizeDualize strategy for iCrashicrash_strategyStrategy for iCrashICAicrash_starting_weightiCrash starting weighticrash_iterationsiCrash iterationsicrash_approx_itericrash_exacticrash_breakpointsWrite model filewrite_model_to_fileWrite the model to a fileWrite presolved model filewrite_presolved_model_to_filemip_detect_symmetrymip_allow_restartmip_max_nodesmip_max_stall_nodesmip_max_start_nodesmip_improving_solution_savemip_improving_solution_filemip_max_leavesmip_max_improving_solsmip_lp_age_limitmip_pool_age_limitmip_pool_soft_limitmip_pscost_minreliablemip_report_levelMIP solver reporting levelmip_feasibility_toleranceMIP feasibility tolerancemip_heuristic_effortmip_rel_gapmip_abs_gapmip_min_logging_intervalMIP minimum logging intervalipm_iteration_limitpdlp_native_terminationpdlp_scalingpdlp_iteration_limitpdlp_e_restart_methodpdlp_d_gap_tolqp_iteration_limitIteration limit for QP solverqp_nullspace_limitNullspace limit for QP solveriis_strategylog_dev_levellog_githashLog the githashsolve_relaxationallow_unbounded_or_infeasiblemps_parser_type_freekeep_n_rowscost_scale_factorScaling factor for costsallowed_matrix_scale_factorallowed_cost_scale_factoripx_dualize_strategysimplex_dualize_strategysimplex_permute_strategysimplex_price_strategyStrategy for PRICE in simplexpresolve_pivot_thresholdpresolve_reduction_limitpresolve_rule_offpresolve_rule_loggingpresolve_remove_slacksRemove slacks after presolvefactor_pivot_thresholdfactor_pivot_tolerancestart_crossover_toleranceuse_original_HFactor_logicless_infeasible_DSE_checkrun_centringPerform centring steps or 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èÌþÿéáïÿÿH´$(èóËþÿéúåÿÿH‹t$xèäËþÿéœëÿÿH´$`èÒËþÿéNßÿÿfïöòt$hò4$é“àÿÿHƒ=u9‹PøJÿ‰Hø…ÒyêÿÿH´$0èégêÿÿfïö1Àòt$hò4$é7àÿÿºÿÿÿÿðÁPøëÄH‹|$`H¾1ÀèÇ„$”ÿÿÿÿéêêÿÿH=èH=èH‰ÃéH‰ÃéH‰ÃéH‰ÃéH‰ÃéH‰ÃéH‰ÃéH‰ÃéH‰ÃéH‰ÃéH‰ÅéH‰ÃéH‰ÃéH‰ÃéH‰ÃéH‰ÃéH‰ÃéH‰ÃéH‰ÃéH‰ÃéH‰ÃéH‰ÃéH‰ÅéH‰ÅéH‰ÃéH‰ÃéH‰ÃéH‰ÃéH‰ÃéH‰ÃéH‰ÃéH‰ÃéH‰ÃéH‰ÃéH‰ÃéH‰ÃéH‰ÃéH‰ÃéUHH‰ýSHƒìH‰H‹—¨H‹¿ H9út=1Û„L‹ßM…ÀtI‹L‰ÇÿPH‹•¨H‹½ H‰ÐHƒÃH)øHÁøH9ØwÍH…ÿtH‹µ°HƒÄ[]H)þéHƒÄ[]Ãvector::_M_realloc_insertcolrowand dual(%d/%g/%g) infeasibilities %sy_u_w_s_t_IfsPlus_IfsMinus_assessBoundsRowassessMatrixLPassessCostsColpresolvesolve_relaxationCopying known dual ray No dual ray found allow_unbounded_or_infeasibleprimal_ray_lp.mpsCopying known primal ray No primal ray found row___erowcol__lower_upperConstraintColumn- -+ output_flagR(Mu=): <= + 0 C%s = <= | Slack_Slack_Roffchooseonsimplexipmpdlpmodel_filesolverparallelrun_crossovertime_limitoptions_filerandom_seedsolution_filerangingversionwrite_model_filewrite_presolved_model_fileread_solution_filelog_filecannot create std::vector larger than max_size()LP has %d rows and solution yields %d possible basic variables (%d / %d; %d / %d) User cost scaling yields infinite cost User bound scaling yields infinite bound getBasicVariables called without a HiGHS basis Non-empty Constraint matrix has illegal format = %d Non-empty Hessian matrix has illegal format = %d Hessian has dimension %d but no nonzeros, so is ignored No invertible representation for %s No LP invertible representation for %s New user bound scaling yields infinite bound: reverting user bound scaling to %d Option change leads to loss of primal feasibility Option change leads to gain of primal feasibility Option change leads to loss of primal feasibility for MIP New user cost scaling yields excessive cost coefficient: reverting user cost scaling to %d Option change leads to loss of dual feasibility Option change leads to gain of dual feasibility Option change leads to gain of optimality %s %d bounds [%g, %g] have infeasibility = %g so set upper bound to %g %s %d bounds [%g, %g] have infeasibility = %g so set lower bound to %g %s %d bounds [%g, %g] have infeasibility = %g so set both bounds to %g %s %d bounds [%g, %g] have excessive infeasibility = %g Model has %d small inconsistent bound(s): rectified Model has %d significant inconsistent bound(s): infeasible %s solver claims optimality, but with num/max/sum primal(%d/%g/%g)Cannot minimize with a cost on variable %d of %g and upper bound of %g Cannot maximize with a cost on variable %d of %g and lower bound of %g Cannot minimize with a cost on variable %d of %g and lower bound of %g Cannot maximize with a cost on variable %d of %g and upper bound of %g Standard form LP obtained for LP with (free / lower / upper / boxed / fixed) variables (%d / %d / %d / %d / %d) and constraints (%d / %d / %d / %d / %d) setHotStart: refactor_info.pivot_row.size of %d and LP with %d rows are incompatible setHotStart: refactor_info.pivot_var.size of %d and LP with %d rows are incompatible setHotStart: refactor_info.pivot_type.size of %d and LP with %d rows are incompatible setHotStart: nonbasicMove.size of %d and LP with %d columns+rows are incompatible setHotStart called with incompatible data Model status is optimal, so no dual ray is available Solving LP to try to compute dual ray Solving linear system to compute dual ray No LP invertible representation to compute dual ray Cannot find primal ray for unbounded QP Model status is optimal, so no primal ray is available Solving LP to try to compute primal ray Solving linear system to compute primal ray HighsTimer: reading clock %d: %s Col e-col %2d (column %2d) corresponds to column %2d with bound %g and is enforced Elasticity filter after %d passes enforces bounds on %d cols and %d rows (min / average / max) iteration count (%6d / %6.2g / % 6d) and time (%6.2f / %6.2f / % 6.2f) %s view ill-conditioning analysis has failed %s view ill-conditioning bound of %g is insufficient for analysis: try %g %s view ill-conditioning analysis: 1-norm distance of basis matrix from singularity is estimated to be %g Copyright (c) 2024 HiGHS under MIT licence termsH‹;H‹sH)þH…ÿtèH‰ïèH‹…xÿÿÿHxèH;=tHµwÿÿÿèH‹}°H‹uÀH)þH…ÿtèH‹}˜H‹u¨H)þH…ÿtèH‹UHzèH;=t!Hƒ=HJøtƒÈÿðÁ…ÀL‰æèH‰ßè‹BøHÿ‰JøëáH‹|$ H‹t$0H)þH…ÿtèH‰ïèH‹D$ HxèL9÷t Ht$èH‰ïèH‹|$ H‹t$0H)þH…ÿtèH‰ïèH‹|$0H‹t$@H)þH…ÿtèH‰ïèH‹„$H…ÀtH‹t$ºH‰÷ÿÐH‹D$(HxèH;=tL‰þèH‹|$0H‹t$@H)þH…ÿtèH‰ßèH‹D$PHxèH;=t Ht$0èH‰ïèH‹„$H…Àt–H¼$€ºH‰þÿÐë‚H‹…pÿÿÿHxèH;=tHµPÿÿÿèH‰ßèH‹…pÿÿÿHxèH;=tHµPÿÿÿèH‰ßèH‹E°H…ÀtH} ºH‰þÿÐH‹…(ÿÿÿHxèH;=tL‰þèH‹½PÿÿÿH‹µ`ÿÿÿH)þH…ÿtèH‹½0ÿÿÿH‹µ@ÿÿÿH)þH…ÿtèH‰ßèH‹E°H…ÀtH‹µÿÿÿºH‰÷ÿÐëŠH‹½PÿÿÿH‹µ`ÿÿÿH)þH…ÿt«èë¤H‹½0ÿÿÿH‹µ@ÿÿÿH)þH…ÿtèH‰ßèH‹…pÿÿÿHxèH;=tHµPÿÿÿèH‰ßèH‹…pÿÿÿHxèH;=tHµPÿÿÿèH‰ßèH‹E°H…ÀtH} ºH‰þÿÐH‹…(ÿÿÿHxèH;=tL‰þèH‹½PÿÿÿH‹µ`ÿÿÿH)þH…ÿtèH‹½0ÿÿÿH‹µ@ÿÿÿH)þH…ÿtèH‰ßèH‹E°H…ÀtH‹µÿÿÿºH‰÷ÿÐëŠH‹½PÿÿÿH‹µ`ÿÿÿH)þH…ÿt«èë¤H‹½0ÿÿÿH‹µ@ÿÿÿH)þH…ÿtèH‰ßèH‹D$`H…ÀtH|$PºH‰þÿÐH‹D$HxèL9ït Ht$ èH‰ïèH‹D$`H…ÀtÖºL‰öL‰÷ÿÐëÇH‹D$`H…ÀtH|$PºH‰þÿÐH‹D$HxèL9ït Ht$ èH‰ïèH‹D$`H…ÀtÖºL‰öL‰÷ÿÐëÇH‹„$ H…Àt ºL‰þL‰ÿÿÐH‹D$HxèH;=t Ht$`èH‰ïèH‹„$ 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H‰„$ðH‹@èH‰ŒðHÇ„$øë©‹BøHÿ‰JøéúþÿÿH‹t$HL‰çèH‹¼$H‹´$ H)þH…ÿtèH‹¼$ðH‹´$H)þH…ÿtèH‰ïèH‹´$¸H)îH…ítH‰ïèH‹´$ÀH‰ÝL)æM…äu‹ë‘H‹|$@H‹t$PH)þH…ÿtèH‹D$0HxèH;=t H‹t$èèöÿÿH‰ïèH‹}ÀH‹uÐH)þH…ÿtèH‰ßèH‰ïL‰åèH‹CèH‰\$ L‰t HÇD$(H‹L‰ïHƒÀH‰„$ èH‰ïèèèéL‰çèH‰ïèH‹¼$¸H‹´$ÈH)þH…ÿtèH‹„$°HxèH;=t H´$˜è öÿÿH‹¼$@H‹´$PH)þH…ÿtèH‹¼$(H‹´$8H)þH…ÿtèH‹¼$H‹´$ H)þH…ÿtèH‹¼$øH‹´$H)þH…ÿtèH‹„$€HxèH;=t H´$˜èŠõÿÿH‹D$xHxèH;=t H´$˜èkõÿÿH‹|$èH‰ßèH‹¼$(H‹´$8H)þH…ÿtèH‹¼$H‹´$ H)þH…ÿtèH‹¼$øH‹´$H)þH…ÿ„WÿÿÿèéMÿÿÿèèéH‹„$HxèH;=t H´$˜èÈôÿÿH‹¼$ÐH‹´$àH)þH…ÿtèH‹¼$¸H‹´$ÈH)þH…ÿtèH‹”$°HzèH;=„UþÿÿHƒ=HJøtsƒÈÿðÁ…À8þÿÿH´$˜èé&þÿÿL‰ïèH‹CèH‰œ$`H‹\$H‰œ`HÇ„$hH‹H‹|$HƒÀH‰„$`èH‰ïè‹BøHÿ‰Jøë‰HÇD$H1íH‹¼$ÀH‹´$ÐH)þH…ÿtèH‹¼$ H‹´$°H)þH…ÿtèH‹¼$€H‹´$H)þH…ÿtèH‹t$HH)îH…ítH‰ïèH‹|$`H‹t$pH)þH…ÿtèH‹|$0èL‰çèHÇD$H1íé[ÿÿÿ%-7s Index Value LP dimension validation (%s) fails on num_col = %d >= 0 LP dimension validation (%s) fails on num_row = %d >= 0 LP dimension validation (%s) fails on col_cost.size() = %d < %d = num_col LP dimension validation (%s) fails on col_lower.size() = %d < %d = num_col LP dimension validation (%s) fails on col_upper.size() = %d < %d = num_col LP dimension validation (%s) fails on a_matrix_.format LP dimension validation (%s) fails on a_matrix dimensions LP dimension validation (%s) fails on row_lower.size() = %d < %d = num_row LP dimension validation (%s) fails on row_upper.size() = %d < %d = num_row LP dimension validation (%s) fails on a_matrix.num_col_ = %d != %d = num_col LP dimension validation (%s) fails on a_matrix.num_row_ = %d != %d = num_row LP dimension validation (%s) fails on scale_.scale_strategy LP dimension validation (%s) fails on scale_.num_col = %d != %d LP dimension validation (%s) fails on scale_.num_row = %d != %d LP dimension validation (%s) fails on scale_.col.size() = %d %s %d LP dimension validation (%s) fails on scale_.row.size() = %d %s %d LP dimension validation (%s) fails %d |cost| values greater than or equal to %12g are treated as Infinity %3s %12d has inconsistent bounds [%12g, %12g] %3s %12d has lower bound of %12g >= %12g %3s %12d has upper bound of %12g <= %12g %3ss:%12d lower bounds less than or equal to %12g are treated as -Infinity %3ss:%12d upper bounds greater than or equal to %12g are treated as +Infinity %d semi-variables are active at modified upper bounds No semi-variables are active at modified upper bounds: a large minimum margin (%g) suggests optimality, but there is no guarantee Column %d has inconsistent bounds [%g, %g] (residual = %g) after presolve Row %d has inconsistent bounds [%g, %g] (residual = %g) after presolve Resolved %d inconsistent bounds (maximum residual = %9.4g) after presolve cannot create std::vector larger than max_size()Scaling: Improvement factor %0.4g < %0.4g required, so no scaling applied Scaling: Factors are in [%0.4g, %0.4g] for columns and in [%0.4g, %0.4g] for rows Scaling: Yields [min, max, ratio] matrix values of [%0.4g, %0.4g, %0.4g]; Originally [%0.4g, %0.4g, %0.4g]: Improvement of %0.4g , %d nonzeros and %d integer columns Objective sense is ill-defined as %d Column Lower Upper Cost Type Count%8d %12g %12g %12g %2s %12dreadBasisFile: Basis file is for %d columns, not %d readBasisFile: Basis file is for %d rows, not %d readBasisFile: Cannot read basis file for HiGHS %s Presolve : Reductions: rows %d(-%d); columns %d(-%d); elements %d(%c%d) Presolve : Reductions: rows %d(-%d); columns %d(-%d); elements %d(-%d) %s assessLp returns HighsStatus = %s calculateRowValuesQuad: Row %d becomes %g due to contribution of .col_value[%d] = %g MIP using primal feasibility and integrality%sAssessing feasibility of %s tolerance of %11.4g Col %6d has infeasibility of %11.4g from [lower, value, upper] = [%15.8g; %15.8g; %15.8g] Col %6d has integer infeasibility of %11.4g Row %6d has infeasibility of %11.4g from [lower, value, upper] = [%15.8g; %15.8g; %15.8g] Row %6d has residual of %11.4g Solution has num max sum Col infeasibilities %6d %11.4g %11.4g Integer infeasibilities %6d %11.4g %11.4g Row infeasibilities %6d %11.4g %11.4g Row residuals %6d %11.4g %11.4g %d semi-continuous/integer variable(s) have inconsistent bounds so are fixed at zero %d semi-continuous/integer variable(s) have zero lower bound so are continuous/integer No semi-integer/integer variables in model with non-empty integrality %d semi-continuous/integer variable(s) have upper bounds exceeding %g that can be modified to %g > %g*lower) %d semi-continuous/integer variable(s) have negative lower bounds %d semi-continuous/integer variables have upper bounds exceeding %g that cannot be modified due to large lower bounds Scaling: Original equilibration: min/mean/max %11.4g/%11.4g/%11.4g (cols); min/mean/max %11.4g/%11.4g/%11.4g (rows) Scaling: Final equilibration: min/mean/max %11.4g/%11.4g/%11.4g (cols); min/mean/max %11.4g/%11.4g/%11.4g (rows) Scaling: Extreme equilibration improvement = ( %11.4g + %11.4g) / ( %11.4g + %11.4g) = %11.4g / %11.4g = %11.4g Scaling: Mean equilibration improvement = sqrt(( %11.4g * %11.4g) / ( %11.4g * %11.4g)) = sqrt(%11.4g / %11.4g) = %11.4g Scaling: Improves mean equilibration by a factor %0.4g Scaling: Improves extreme equilibration by a factor %0.4g Scaling: Improves max/min matrix values by a factor %0.4g Scaling: Improvement factor is %0.4g >= %0.4g so scale LP Scaling: Applying scaling with extreme improvement of %0.4g Scaling: Applying scaling with mean improvement of %0.4g Scaling: Applying scaling with matrix value ratio improvement of %0.4g Scaling: Applying scaling with improvement factor %0.4g < 10*(%0.4g) improvement Scaling: Matrix has [min, max] values of [%g, %g] within [%g, %g] so no scaling performed Row Lower Upper Type Count%8d %12g %12g %2s %12dLP %s has all |entries|=1; max column count = %d (limit %d); average column count = %0.2g (limit %d): LP is %s a candidate for LiDSE readBasisFile: Cannot open readable file "%s" readSolutionFile: Cannot read file of style %d readSolutionFile: Cannot open readable file "%s" readSolutionFile: Cannot read a MIPLIB solution file without column names in the model readSolutionFile: Solution file is for %d columns, not %d readSolutionFile: name %s is not found readSolutionFile: name %s is duplicated readSolutionFile: Solution file is for %d rows, not %d: row values ignored Copyright (c) 2024 HiGHS under MIT licence terms Start %10d %8d Start %10d %8d %12g vector::_M_realloc_insertFRUBLBBXFX>===LP has %d columns, %d rows and %d nonzeros Objective sense is minimize Objective sense is maximize Discrete Name BinaryInteger %-8s %-sScaledUnscaled %s model data: Analysis Constraint matrixColumnRowHiGHS v%d None Valid # Columns %d %d # Rows %d v1None- Reduced to empty- Not reducedColLP using primal feasibilitysemi_binary_semi_lb_semi_ub_isis not=obj=Removed %d rows of count 1 offchooseonsimplexipmpdlpmodel_filepresolvesolverparallelrun_crossovertime_limitoptions_filerandom_seedsolution_filerangingversionwrite_model_filewrite_presolved_model_fileread_solution_filelog_fileÿÿ,È€ÿÿÿ›=21ÏHÊÏ§Å”1æäýéßÃÛ}ÿÿ. á÷¡€®_¡¶^¾¾¡º 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colFree col substitutionDoubleton equationDependent equationsDependent free columnsAggregatorParallel rows and columns????Columns Rows Type Name %9d %4s %12g %12g %12g %s %-s # Columns %d C%-s %s %dFeasible Infeasible # Rows %d R%-s %s 0b i %d %s%s%s %6d %-12s %s %20s B %13.6g %13s %13s TF Primal solution Dual solution Basis %.15g %dMINimumMAXimummipbasSt --NSNLslNUu=Medium qualityLow qualityHigh qualityPRIMAL SOLUTION IS WRONGcolumnrowPRIMAL SOLUTION IS INFEASIBLEDUAL SOLUTION IS WRONGDUAL SOLUTION IS INFEASIBLER0000000Problem:%s%-12s%s c Rows:%s%-12s%d Columns:%s%-12s%d (%d integer, %d binary)Non-zeros:????INTEGER OPTIMALoOPTIMALINTEGER EMPTYnINFEASIBLE (FINAL)UNBOUNDEDINTEGER NON-OPTIMALfFEASIBLEUNDEFINEDStatus: = Objective:%s%-12s%s%.10g (%s) c%s s %s %d %d %si %s Marginal -------------i %d B bNF??%s %13.6g %13s < eps%13s%s%d * e o f %8s%s End of output j Model status: %s Objective value: %s offchooseonsimplexipmpdlpmodel_filepresolvesolverparallelrun_crossovertime_limitoptions_filerandom_seedsolution_filerangingversionwrite_model_filewrite_presolved_model_fileread_solution_filelog_file grep_CharMl,%s,Free,LB,UB,Boxed,Fixed grep_CharMl,%d,%d,%d,%d,%d,%d Name |%s| contains a space character in position %d There are %d names with spaces There are empty or excessively-long %s names: using constructed names with prefix "%s" Primal infeasible or unboundedUnrecognised HiGHS model status Index Status Lower Upper Primal Dual%d %d : Number of columns and rows for primal or dual solution or basis The cost row name of "%s" is assumed to be artificial and will not be reported in the Glpsol solution file The cost row for the Glpsol solution file is reported last since there is no indication of where it should be No. Row name %s Activity Lower bound Upper bound------ ------------ %s ------------- ------------- ------------- No. Column name %s Activity Lower bound Upper boundInteger feasibility conditions: Karush-Kuhn-Tucker optimality conditions: KKT.PE: max.abs.err = %.2e on row %d max.rel.err = %.2e on row %d KKT.PB: max.abs.err = %.2e on %s %d max.rel.err = %.2e on %s %d KKT.DE: max.abs.err = %.2e on column %d max.rel.err = %.2e on column %d KKT.DB: max.abs.err = %.2e on %s %d Copyright (c) 2024 HiGHS under MIT licence termsH‹D$HxèH;=t Ht$èH‰ïèH‹D$HxèH;=t Ht$èH‰ïèH‹D$HxèH;=t Ht$èH‰ïèH‹D$@HxèH;<$t H‹t$èH‹D$8HxèH;<$t Ht$@èH‰ïèH‹D$@HxèH;<$tÐH‹t$èëÄH‹D$8HxèL9ït Ht$/èH‹D$0HxèL9ït Ht$8èH‰ïèH‹„$ØHxèH9ßt H´$ÐèH‹„$ÀHxèH9ßtL‰æèH‹¼$¨èH‰ïèH‹„$ØHxèH9ßt-H´$ÐèëH‹„$ØHxèH9ßt H´$ÐèH‹„$ÈHxèH9ßtƒL‰æèévÿÿÿH‹„$ØHxèH9ßt H´$¿èH‹„$ÐHxèH9ßt³L‰æèë©H‹D$`H‹L$hH‰„$àH‹@èH‰ŒàHÇ„$èH‹H‹¼$HƒÀH‰„$HèH‰ßèH‹„$ØHxèH9ß„BÿÿÿH´$Ðèé0ÿÿÿH‹|$0èH‹„$€H‹Œ$ˆH‹@èH‰ŒàH‹D$pH‹L$xH‰„$ðH‹@èH‰ŒðH‹D$`H‹L$hH‰„$àH‹@èH‰ŒàHÇ„$èé>ÿÿÿH‹„$ØHxèH9ß„¨þÿÿL‰þèé›þÿÿH‹„$ØHxèH9ß„†þÿÿL‰þèéyþÿÿH‹„$ØHxèH9ß„øýÿÿH´$ÐèéæýÿÿH‹„$ØHxèH9ß„=þÿÿH´$Ðèé+þÿÿH‹„$ÐHxèH9ßt 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Ht$è¾üÿÿH‹D$(HxèL9çtL‰îè¨üÿÿH‰ïèH‹D$(HxèH;=t Ht$ è„üÿÿH‰ïèH‹D$(HxèL9çtL‰îèfüÿÿH‰ïèH‹EÈHxèH;=t HuÀèDüÿÿH‰ßèH‹E¸H‹HxèH9ßt Hu¯èüÿÿH‹E°HxèH9ßtL‰îè üÿÿH‹EÈHxèH9ßt Hu¸èôûÿÿH‹EÀHxèH9ßtL‰öèßûÿÿL‰ÿèH‹D$HHxèH;=t Ht$@è»ûÿÿH‰ïèH‹D$8H‹-HxèH9ït Ht$/è”ûÿÿH‹D$0HxèH9ïtL‰îè~ûÿÿH‹D$HHxèH9ït Ht$8èfûÿÿH‹D$@HxèH9ïtL‰öèPûÿÿL‰çèH‹D$(HxèH;=toHt$ è,ûÿÿëcH‹D$H‹HxèH9ßt Ht$èûÿÿH‹D$HxèH9ßtL‰æèõúÿÿH‹D$(HxèH9ßt Ht$èÝúÿÿH‹D$ HxèH9ßtL‰îèÇúÿÿH‰ïègetOptionIndex: Option "%s" is unknown Value "%s" for %s option is not one of "%s", "%s" or "%s" Value "%s" for %s option is not one of "%s" or "%s" Value "%s" for solver option is not one of "%s", "%s", "%s" or "%s" checkOption: Option "%s" has inconsistent bounds [%d, %d] checkOption: Option "%s" has default value %d inconsistent with bounds [%d, %d] checkOption: Option "%s" has value %d inconsistent with bounds [%d, %d] checkOption: Option "%s" has inconsistent bounds [%g, %g] checkOption: Option "%s" has default value %g inconsistent with bounds [%g, %g] checkOption: Option "%s" has value %g inconsistent with bounds [%g, %g] checkOptions: Option %d ("%s") has the same name as option %d "%s" checkOptions: Option %d ("%s") has the same value pointer as option %d ("%s") checkOptionValue: Value %d for option "%s" is below lower bound of %d checkOptionValue: Value %d for option "%s" is above upper bound of %d checkOptionValue: Value %g for option "%s" is below lower bound of %g checkOptionValue: Value %g for option "%s" is above upper bound of %g setLocalOptionValue: Option "%s" cannot be assigned a bool setLocalOptionValue: Option "%s" cannot be assigned an int setLocalOptionValue: Option "%s" cannot be assigned a double setLocalOptionValue: Value "%s" cannot be interpreted as a bool setLocalOptionValue: Value = "%s" converts via sscanf as %d by scanning %d of %d characters setLocalOptionValue: Value = "%s" converts via atoi as %d so is %g as double, and %g via atof setLocalOptionValue: model filename cannot be set basic_string::_S_construct null not validgetLocalOptionValue: Option "%s" requires value of type %s, not bool getLocalOptionValue: Option "%s" requires value of type %s, not HighsInt getLocalOptionValue: Option "%s" requires value of type %s, not double getLocalOptionValue: Option "%s" requires value of type %s, not string ## %s - %s - Type: boolean - Default: "%s" # [type: bool, advanced: %s, range: {false, true}, default: %s] ## %s - %s - Type: integer - Range: {%d, %d} - Default: %d # [type: integer, advanced: %s, range: {%d, %d}, default: %d] ## %s - %s - Type: double - Range: [%g, %g] - Default: %g # [type: double, advanced: %s, range: [%g, %g], default: %g] ## %s - %s - Type: string - Default: "%s" # [type: string, advanced: %s, default: "%s"] Copyright (c) 2024 HiGHS under MIT licence termsattrue1onffalse0offcheckOptions: Options are OK mip+-0123456789eE%d%ninf+inf-inf+-.0123456789eE # %s %s = %s %s = %d %s = %g 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H)þèH‹»øH…ÿtH‹³H)þèH‹»àH…ÿtH‹³ðH)þèH‹»ÈH…ÿtH‹³ØH)þèH‹»°H…ÿtH‹³ÀH)þèH‹»˜H…ÿtH‹³¨H)þèH‹»€H…ÿtH‹³H)þèH‹»hH…ÿtH‹³xH)þèH‹»PH…ÿtH‹³`H)þèH‹»8H…ÿtH‹³HH)þèH‹» H…ÿtH‹³0H)þèH‹»H…ÿtH‹³H)þèH‹»ðH…ÿtH‹³H)þèH‹»ØH…ÿtH‹³èH)þèH‹»ÀH…ÿtH‹³ÐH)þèH‹»¨H…ÿtH‹³¸H)þèH‹»H…ÿtH‹³ H)þèH‹»xH…ÿtH‹³ˆH)þèH‹»`H…ÿtH‹³pH)þèH‹»HH…ÿtH‹³XH)þèH‹»0H…ÿtH‹³@H)þèH‹»H…ÿtH‹³(H)þèH‹»H…ÿtH‹³H)þèH‹»èH…ÿtH‹³øH)þèH‹»ÐH…ÿtH‹³àH)þèH‹»¸H…ÿtH‹³ÈH)þèH‹» H…ÿtH‹³°H)þèH‹»ˆH…ÿtH‹³˜H)þèH‹»pH…ÿtH‹³€H)þèH‹»XH…ÿtH‹³hH)þèH‹»@H…ÿtH‹³PH)þèH‹»(H…ÿtH‹³8H)þèH‹»H…ÿtH‹³ H)þèH‹»øH…ÿtH‹³H)þèH‹»àH…ÿtH‹³ðH)þèH‹»ÈH…ÿtH‹³ØH)þèH‹»°H…ÿtH‹³ÀH)þèH‹ƒpH…ÀtH»`ºH‰þÿÐH‹»(H…ÿt ¾èH‹»˜H…ÿtH‹³¨H)þèH‹»€H…ÿtH‹³H)þèH‹{hH…ÿtH‹sxH)þèH‹{HH…ÿtH‹sXH)þèH‹{0H…ÿtH‹s@H)þèH‹{H…ÿtH‹s([H)þéf.„[Ãÿÿ %s Absolute value = %11.4g; index = %9d Relative value = %11.4g; index = %9d LP solver residuals: primal = %g; dual = %g yield num/max/sum primal (%d/%g/%g) and dual (%d/%g/%g) corrections ipxSolutionToHighsSolution: Norm of dual residual values is %10.4g ipxSolutionToHighsSolution: Norm of delta row values is %10.4g ipxSolutionToHighsSolution: Norm of %6d col primal truncations is %10.4g ipxSolutionToHighsSolution: Norm of %6d row primal truncations is %10.4g ipxSolutionToHighsSolution: Norm of %6d col dual truncations is %10.4g ipxSolutionToHighsSolution: Norm of %6d row dual truncations is %10.4g ipxSolutionToHighsSolution: Final norm of primal residual values is %10.4g ipxSolutionToHighsSolution: Final norm of dual residual values is %10.4g ipxSolutionToHighsSolution: Excessive corrected |primal value| is %10.4g getKktFailures: %s %d status-value error: [%23.18g; %23.18g; %23.18g] has residual %g Error in IPX conversion: Unrecognised value ipx_col_status[%2d] = %d Col %2d ipx_col_status[%2d] = %2d; x[%2d] = %11.4g; z[%2d] = %11.4g Unrecognised ipx_col_status value from IPX Error in IPX conversion: Row %2d (IPX row %2d) has unrecognised value ipx_col_status[%2d] = %d Error in IPX conversion: Row %2d: cannot handle constraint_type[%2d] = %d Row %2d ipx_row_status[%2d] = %2d; s[%2d] = %11.4g; y[%2d] = %11.4g Unrecognised ipx_row_status value from IPX Of %d boxed rows: %d are basic and %d have basic slacks Copyright (c) 2024 HiGHS under MIT licence termsH‹|$ H‹t$0H)þH…ÿtèH‹<$H‹t$H)þH…ÿtèH‰ïèH‹t$@H)îH…ítH‰ïèH‰ÝH‹t$hL)öM…ötL‰÷èH‰ïèHÇ„$ HÇ„$ˆH‹¼$0H‹´$@H)þH…ÿtèH‹¼$H‹´$ H)þH…ÿtèH‹¼$ðH‹´$H)þH…ÿtèH‹´$ H‹„$ˆH)ÆH…ÀtH‰ÇèH‰ïèHÇ„$ HÇ„$ˆédÿÿÿH‹}°H‹uÀH)þH…ÿtèH‰ßèH‹½àþÿÿH‹µðþÿÿH)þH…ÿtèH‰ßèH‹µxÿÿÿL)þM…ÿtL‰ÿèH‰ßèL‰ÿèH‹|$ H‹t$0H)þH…ÿtèH‰ïèH‹D$PH…Àt ºL‰þL‰ÿÿÐH‹T$HzèH;=t#Hƒ=HJøt8ƒÈÿðÁ…À Ht$èH‰ïèH‹D$PH…Àt¹H|$@ºH‰þÿÐë¨‹BøHÿ‰JøëÄÿÿK»úÿÿ0ÿÿ0»¼ÄÌÁ#ÄˆCë´ÄÄ£´¯¼ÿÿ0ÿÿŒ §¢#†š#×"!¢#•#ª#ÿÿ’ÿÿL%—ÿÿÿÿQ*§ÿÿÿÿú ›Ý ‡pÍæ‚‡ÿÿÿÿñ õ – 'í ÿÿ"ÿÿ*[„Œ¼”„¬ÿÿONoneRow ColumnBounds [%11.4g, %11.4g] offchooseonsimplexipmpdlpmodel_filepresolvesolverparallelrun_crossovertime_limitoptions_filerandom_seedsolution_filerangingversionwrite_model_filewrite_presolved_model_fileread_solution_filelog_filebasic_string::_S_construct null not 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basic duals: num = %7d; max = %9.4g; sum = %9.4g PrDuErrors : %-9s Off-bound nonbasic values: num = %7d; max = %9.4g; sum = %9.4g PrDuErrors : %-9s Primal residual: num = %7d; max = %9.4g; sum = %9.4g PrDuErrors : %-9s Dual residual: num = %7d; max = %9.4g; sum = %9.4g SolutionPar: %-9s relative difference of %9.4g for %s SolutionPar: difference of %d for %s cannot create std::vector larger than max_size()debugHighsLpSolution: %d primal infeasibilities but model status is %s debugHighsLpSolution: %d dual infeasibilities but model status is %s Copyright (c) 2024 HiGHS under MIT licence termsbasic_string::_S_construct null not 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chooseonsimplexipmpdlpmodel_filepresolvesolverparallelrun_crossovertime_limitoptions_filerandom_seedsolution_filerangingversionwrite_model_filewrite_presolved_model_fileread_solution_filelog_file%s has excessively large costs: consider scaling the costs by 1e%+1d or less, or setting option user_cost_scale to %d or less %s has excessively large bounds: consider scaling the bounds by 1e%+1d or less %s has excessively large bounds: consider scaling the bounds by 1e%+1d or less, or setting option user_bound_scale to %d or less %s has excessively small costs: consider scaling the costs up by 1e%+1d or more, or setting option user_cost_scale to %d or more %s has excessively small bounds: consider scaling the bounds by 1e%+1d or more %s has excessively small bounds: consider scaling the bounds by 1e%+1d or more, or setting option user_bound_scale to %d or more Solving an unconstrained LP with %d columns Unwelcome IPX status of %s: basis is %svalid; solution is %svalid; run_crossover is "%s" IPX solution is imprecise, so clean up with simplex Inconsistent solution returned from solver PDLP claims optimality, but with num/max/sum %d / %9.4g / %9.4g primal infeasibilities PDLP claims optimality, but with num/max/sum %d / %9.4g / %9.4g dual infeasibilities and max/sum %9.4g / %9.4g complementarity violations so set model status to "unknown" Exception %s in solveLpCupdlp Copyright (c) 2024 HiGHS under MIT licence termsbasic_string::_S_construct null not validAUATUSHƒìH…ö„¡I‰üH‰÷H‰õI‰ÕèH‰ÃH…ÀtDL‰ê1öH‰ÇèI‰ÅHHHƒûtJH‰ÏH‰ÚH‰îèH‰ÁL;-u@I‰$HƒÄ[]A\A]ÃH‹HHI‰$HƒÄ[]A\A]ÃfD¶EAˆEë½fDAÇEI‰]AÆDë¬H=ècannot create std::vector larger than max_size()ATUH‰ÕSH‰ûH‹?L‹CI)øL‰ÀHÁøH9ð‚lH‹SH‰ÑH)ùI‰ÉIÁùL9Î†ÒòEH9×tULBøH‰øI)øIÁèIƒÀHƒùt4L‰Áf(ÈHÑéfÉHÁáHùHƒÀH9ÁuôL‰ÀHƒàþH<ÇI9ÀtòòEL)ÎHÁæL2L9ÂtSL‰ÁH‰ÐH)ÑHyøHÁïHƒÇHƒþt4H‰ùf(ÈHÑéfÉHÁáHÑHƒÀH9ÈuôH‰øHƒàþHÂH9ÇtòL‰C[]A\Ã€I‰ùH…öt`HÁæòEL7L9ÏtNLFøH‰øIÁèIƒÀHƒþt5L‰Áf(ÈHÑéfÉHÁáHù@HƒÀH9ÈuôL‰ÀHƒàþH<ÇI9ÀtòL9Êt‡L‰K[]A\Ãf.„H¸ÿÿÿÿÿÿÿH9Æ‡´L$õH…ö„œL‰çèòEN 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H)þH…ÿtèL‰ï¾ èH‰ïèH‹|$H‹t$ H)þH…ÿtèL‰ï¾èH‰ïèH‹D$HxèH9ït Ht$è¼üÿÿL‰çèH‹D$HxèL9çt Ht$èœüÿÿH‰ïèH‹D$HxèL9çt Ht$è|üÿÿH‰ïèH‹D$HxèL9çt Ht$è\üÿÿH‰ïèH‹D$HxèL9çt Ht$è<üÿÿH‰ïèH‹D$HxèL9çt Ht$èüÿÿH‰ïèH‹D$HxèL9çt Ht$èüûÿÿH‰ïèH‹D$HxèL9çt Ht$èÜûÿÿH‰ïèH‹D$HxèL9çt Ht$è¼ûÿÿH‰ïèH‹D$HxèL9çt Ht$èœûÿÿH‰ïèH‹D$HxèL9çt Ht$è|ûÿÿH‰ïèH‹D$HxèL9çt Ht$è\ûÿÿH‰ïèH‹D$HxèL9çt Ht$è<ûÿÿH‰ïèH‹D$HxèL9çt Ht$èûÿÿH‰ïèH‹D$HxèL9çt Ht$èüúÿÿH‰ïèH‹D$HxèL9çt Ht$èÜúÿÿH‰ïèH‹D$HxèL9çt Ht$è¼úÿÿH‰ïèH‹D$HxèL9çt Ht$èœúÿÿH‰ïèH‹D$HxèL9çt Ht$è|úÿÿH‰ïèH‹D$HxèL9çt Ht$è\úÿÿH‰ïèH‹D$HxèL9çt Ht$è<úÿÿH‰ïèH‹D$HxèL9çt Ht$èúÿÿH‰ïèH‹D$HxèL9çt Ht$èüùÿÿH‰ïèH‹D$HxèL9çt Ht$èÜùÿÿH‰ïèH‹D$HxèL9çt Ht$è¼ùÿÿH‰ïèH‹D$HxèL9çt Ht$èœùÿÿH‰ïèH‹D$HxèL9çt Ht$è|ùÿÿH‰ïèH‹|$H‹t$(H)þH…ÿtèH‰ïèH‹|$H‹t$(H)þH…ÿtèH‰ïègrep_csvMIP,model,ideal,%s,Unaccountedgrep_csvMIP,%s,%11.4g,%11.4gClock %d - %s - not running ; Ideal; %5.1f%%; %5.1f%%):%9ld %11.4e ; %5.1f%%) MipCore_MipLevl1MipSlvLpMipPrslvMipSerchMipDive_MipPrimalHeuristicsMipEvaluateRootNodeMipSeparationMIP presolveMIP solveMIP 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running HighsTimer: starting clock %d: %s MipTimer: stopping clock %d: %s HighsTimer: stopping clock %d: %s HighsTimer: querying clock %d: %s - with start record %g ,simplex time,IPM time,#simplex,#IPM,simplex/total time,IPM/total time,#No basis solve,simplex/#Basis solve,simplex/#No basis solvecannot create std::vector larger than max_size() %s-time Operation : Time ( Total; Local): Calls Time/Call%s-time %-32s: %11.4e (%5.1f%%%s-time SUM : %11.4e (%5.1f%%%s-time TOTAL : %11.4e Solve sub-MIP: root reduced costCopyright (c) 2024 HiGHS under MIT licence termsÿÿ!7ÍQÅ§—ÝÑÕ¸2ÝÿÿRÿÿ"ÀÖ©— ‰¡‡ €˜ ÿÿÿÿž¶þ„;ÿÿÿÿÄ"ù–èÿÿÿÿ¨ùÿÿÿÿ¯¯ï ñß Îæç Ú ï ÿÿ6ÿÿ²=mä³ŒûÄóÌµåÔ¦ÜÔùìµÌ‡ÀÔŽÜÑäÇ¬‰ ¹ ´ý ¼Ü Ÿ¤÷ü¥Ï„Ž ôÁ Ó œô Ž”¸ÿÿ'©ÿÿ§fôñRÑìÿÿÿÿâRË$¹%—Hˆ&6Ñ&H©'÷Hø'>É(ïH™)çHè)>¹*ßH‰+×GØ+>©,ÏGù,çGÈ->™.ßGé.ÇG¸/>‰0¿GÙ0‡H¨1>ù1ÿGÉ2·H˜3>é3¯H¹4§Hˆ5>Ù5ŸH©6‡Iø6>É7ÿH™8÷Gè8>¹9ïG‰:ÇHØ:>©;¿Hù;×HÈ<>™=ÏHÿÿ¥ÿÿIð¹ÿÿÿÿ háÉÿÿbasic_string::_S_construct null not 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InQueue | Leaves Expl. | BestBound BestSol Gap | Cuts InLp Confl. | LpIters Time %s %7s %7s %7s %6.2f%% %-15s %-15s %8s %6d %6d %6d %7s %7.1fs %s %7s %7s %7s %6.2f%% %-15s %-15s %8.2f %6d %6d %6d %7s %7.1fs Reduction case %d not handled Solution with objective %g has untransformed violations: bound = %.4g%s; integrality = %.4g%s; row = %.4g%s MIP start solution is %s, objective value is %.12g simplex_initial_condition_checkSemicontinuous or semiinteger variables should have been reformulated away before HighsMipSolverData::runSetup() is called. Solving MIP model with: %d rows %d cols (%d binary, %d integer, %d implied int., %d continuous) %d nonzeros Model after restart has %d rows, %d cols (%d bin., %d int., %d impl., %d cont.), and %d nonzeros MIP-Timing: %11.2g - starting analytic centre calculation HighsMipSolverData::evaluateRootNode %.1f%% inactive integer columns, restarting MIP-Timing: %11.2g - starting separation MIP-Timing: %11.2g - completed separation Copyright (c) 2024 HiGHS under MIT licence termsUfïÀSH‰ûHƒìGGG(G8GHGXGhGx‡ˆ‡˜‡¨‡¸‡È‡Ø‡è‡ø‡‡‡(‡8‡H‡X‡h‡x‡ˆ‡˜‡¨‡¸‡È‡Øfo HÇ‡8‡è‡ø‡‡(¿€èHxH‰ÁH‰ÂHÇHƒçøHÇ@x1ÀH)ùƒé€ÁéóH«H‹» H‰“ H…ÿtè¿èH‹»H‰ƒH…ÿtèfofïÀ¿€HÇƒ`ƒ@“PèHxH‰ÁH‰ÂHÇHƒçøHÇ@x1ÀH)ùƒé€ÁéóH«H‹»HH‰“HH…ÿtè¿èH‹»@H‰ƒ@H…ÿtèfofïÀ¿€HÇƒˆƒh›xèHxH‰ÁH‰ÂHÇHƒçøHÇ@x1ÀH)ùƒé€ÁéóH«H‹»pH‰“pH…ÿtè¿èH‹»hH‰ƒhH…ÿtèHÇƒÈfïÀƒ¸HƒÄ[]ÃH‰ÅëH‰ÅéfH‰Åé«H‹» H…ÿtèH‹»H…ÿtèH‹»H‹³H)þH…ÿtèH‹»èH‹³øH)þH…ÿtèH‹»ÐH‹³àH)þH…ÿtèH‹»¸H‹³ÈH)þH…ÿtèH‹» H‹³°H)þH…ÿtèH‹»ˆH‹³˜H)þH…ÿtèH‹»pH‹³€H)þH…ÿtèH‹»XH‹³hH)þH…ÿtèH‹»@H‹³PH)þH…ÿtèH‹»(H‹³8H)þH…ÿtèH‹»H‹³ 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I!øH!øMHI!ùI9Át:L‹SA‰ÌD‰íI4¶„Éx¥Dˆ&A‰,‡ëHf„HƒÀH!øL9È…xÿÿÿA‰íL‹|$L‰ÿèD‰îëL‹|$L‰ÿè‰îL‰ÿèL‹3H‹C@I‹~PM‹nHH‰<$é¬ýÿÿvector::_M_realloc_insertAWAVAUATUSH»ÿÿÿÿÿÿÿHƒìL‹wL‹/L‰ðL)èHÁøH9Ø„%H…ÀI‰×ºH‰ýHEÐ1ÉI‰ôHÐH‰ò’ÁL)êH…É…êH…ÀuU1ÛI‹LLM)æL‹}H‰K1H‰$H…ÒM…öRM…íujfHnÁH‰]$EHƒÄ[]A\A]A^A_ÃDH9ØHGÃHÅH‰ßH‰$èH‹$H‰ÁHÃë†L‰òL‰æL‰ÏH‰L$èH‹L$M…ít–L‰þL)îë&L‰îH‰ÏL‰L$èL‰þL‹L$L)îM…öH‰ÁµL‰ïH‰L$èH‹L$éQÿÿÿfDH»øÿÿÿÿÿÿépÿÿÿH=èH‰òH‹wH;wtH‹HƒÆH‰FøH‰wÃéPresolve option: "off", "choose" or "on"Solver option: "simplex", "choose", "ipm" or "pdlp". If "simplex"/"ipm"/"pdlp" is chosen then, for a MIP (QP) the integrality constraint (quadratic term) will be ignoredParallel option: "off", "choose" or "on"Run IPM crossover: "off", "choose" or "on"Compute cost, bound, RHS and basic solution ranging: "off" or "on"Limit on |cost coefficient|: values greater than or equal to this will be treated as infiniteLimit on |constraint bound|: values greater than or equal to this will be treated as infiniteLower limit on |matrix entries|: values less than or equal to this will be treated as zeroUpper limit on |matrix entries|: values greater than or equal to this will be treated as infiniteObjective bound for termination of the dual simplex solverObjective target for termination of the MIP solverNumber of threads used by HiGHS (0: automatic)Exponent of power-of-two bound scaling for modelExponent of power-of-two cost scaling for modelStrategy for simplex solver 0 => Choose; 1 => Dual (serial); 2 => Dual (PAMI); 3 => Dual (SIP); 4 => PrimalSimplex scaling strategy: off / choose / equilibration / forced equilibration / max value 0 / max value 1 (0/1/2/3/4/5)Strategy for simplex crash: off / LTSSF / Bixby (0/1/2)simplex_dual_edge_weight_strategyStrategy for simplex dual edge weights: Choose / Dantzig / Devex / Steepest Edge (-1/0/1/2)simplex_primal_edge_weight_strategyStrategy for simplex primal edge weights: Choose / Dantzig / Devex / Steepest Edge (-1/0/1/2)Iteration limit for simplex solver when solving LPs, but not subproblems in the MIP solverLimit on the number of simplex UPDATE operationsMinimum level of concurrency in parallel simplexMaximum level of concurrency in parallel simplexEnables or disables solver outputEnables or disables console loggingWrite the primal and dual solution to a fileStyle of solution file (raw = computer-readable, pretty = human-readable): -1 => HiGHS old raw (deprecated); 0 => HiGHS raw; 1 => HiGHS pretty; 2 => Glpsol raw; 3 => Glpsol pretty; 4 => HiGHS sparse rawLocation of cost row for Glpsol file: -2 => Last; -1 => None; 0 => None if empty, otherwise data file location; 1 <= n <= num_row => Location n; n > num_row => LastiCrash approximate minimization iterationsExact subproblem solution for iCrashWrite the presolved model to a fileWhether MIP symmetry should be detectedWhether MIP restart is permittedMIP solver max number of nodesMIP solver max number of nodes where estimate is above cutoff boundMIP solver max number of nodes when completing a partial MIP startWhether improving MIP solutions should be savedmip_improving_solution_report_sparseWhether improving MIP solutions should be reported in sparse formatFile for reporting improving MIP solutions: not reported for an empty string \"\"MIP solver max number of leaf nodesLimit on the number of improving solutions found to stop the MIP solver prematurelyMaximal age of dynamic LP rows before they are removed from the LP relaxation in the MIP solverMaximal age of rows in the MIP solver cutpool before they are deletedSoft limit on the number of rows in the MIP solver cutpool for dynamic age adjustmentMinimal number of observations before MIP solver pseudo costs are considered reliablemip_min_cliquetable_entries_for_parallelismMinimal number of entries in the MIP solver cliquetable before neighbourhood queries of the conflict graph use parallel processingEffort spent for MIP heuristicsTolerance on relative gap, |ub-lb|/|ub|, to determine whether optimality has been reached for a MIP instanceTolerance on absolute gap of MIP, |ub-lb|, to determine whether optimality has been reached for a MIP instanceIteration limit for IPM solverUse native termination for PDLP solver: Default = falseScaling option for PDLP solver: Default = trueIteration limit for PDLP solverRestart mode for PDLP solver: 0 => none; 1 => GPU (default); 2 => CPU Duality gap tolerance for PDLP solver: Default = 1e-4Strategy for IIS calculation: Prioritise rows (default) / Prioritise columns (0/1)Output development messages: 0 => none; 1 => info; 2 => verboseSolve the relaxation of discrete model componentsAllow ModelStatus::kUnboundedOrInfeasibleuse_implied_bounds_from_presolveUse relaxed implied bounds from presolvelp_presolve_requires_basis_postsolvePrevents LP presolve steps for which postsolve cannot maintain a basisUse the free format MPS file readerFor multiple N-rows in MPS files: delete rows / delete entries / keep rows (-1/0/1)Largest power-of-two factor permitted when scaling the constraint matrixLargest power-of-two factor permitted when scaling the costsStrategy for dualizing before IPXStrategy for dualizing before simplexStrategy for permuting before simplexmax_dual_simplex_cleanup_levelMax level of dual simplex cleanupmax_dual_simplex_phase1_cleanup_levelMax level of dual simplex phase 1 cleanupsimplex_unscaled_solution_strategyStrategy for solving unscaled LP in simplexsimplex_initial_condition_checkPerform initial basis condition check in simplexno_unnecessary_rebuild_refactorNo unnecessary refactorization on simplex rebuildsimplex_initial_condition_toleranceTolerance on initial basis condition in simplexrebuild_refactor_solution_error_toleranceTolerance on solution error when considering refactorization on simplex rebuilddual_steepest_edge_weight_error_toleranceTolerance on dual steepest edge weight errorsdual_steepest_edge_weight_log_error_thresholdThreshold on dual steepest edge weight errors for Devex switchdual_simplex_cost_perturbation_multiplierDual simplex cost perturbation multiplier: 0 => no perturbationprimal_simplex_bound_perturbation_multiplierPrimal simplex bound perturbation multiplier: 0 => no perturbationdual_simplex_pivot_growth_toleranceDual simplex pivot growth toleranceMatrix factorization pivot threshold for substitutions in presolveLimit on number of presolve reductions -1 => no limitrestart_presolve_reduction_limitLimit on number of further presolve reductions on restart in MIP solver -1 => no limit, otherwise, must be positiveBit mask of presolve rules that are not allowedLog effectiveness of presolve rules for LPpresolve_substitution_maxfillinMaximal fillin allowed for substitutions in presolveMatrix factorization pivot thresholdMatrix factorization pivot toleranceTolerance to be satisfied before IPM crossover will startUse original HFactor logic for sparse vs hyper-sparse TRANsCheck whether LP is candidate for LiDSEless_infeasible_DSE_choose_rowUse LiDSE if LP has right propertiesMaximum number of steps to use (default = 5) when computing the analytic centreCentring stops when the ratio max(x_j*s_j) / min(x_j*s_j) is below this tolerance (default = 100)Time limit (seconds)infinite_costinfinite_boundsmall_matrix_valuelarge_matrix_valueprimal_feasibility_tolerancePrimal feasibility tolerancedual_feasibility_toleranceDual feasibility toleranceipm_optimality_toleranceIPM optimality toleranceobjective_boundobjective_targetRandom seed used in HiGHSthreadsuser_bound_scaleuser_cost_scalehighs_debug_levelDebugging level in HiGHShighs_analysis_levelAnalysis level in HiGHSsimplex_strategysimplex_scale_strategysimplex_crash_strategysimplex_iteration_limitsimplex_update_limitsimplex_min_concurrencysimplex_max_concurrencyoutput_flaglog_to_consoleSolution fileLog filewrite_solution_to_filewrite_solution_styleglpsol_cost_row_locationicrashRun iCrashicrash_dualizeDualize strategy for iCrashicrash_strategyStrategy for iCrashICAicrash_starting_weightiCrash starting weighticrash_iterationsiCrash iterationsicrash_approx_itericrash_exacticrash_breakpointsWrite model filewrite_model_to_fileWrite the model to a fileWrite presolved model filewrite_presolved_model_to_filemip_detect_symmetrymip_allow_restartmip_max_nodesmip_max_stall_nodesmip_max_start_nodesmip_improving_solution_savemip_improving_solution_filemip_max_leavesmip_max_improving_solsmip_lp_age_limitmip_pool_age_limitmip_pool_soft_limitmip_pscost_minreliablemip_report_levelMIP solver reporting levelmip_feasibility_toleranceMIP feasibility tolerancemip_heuristic_effortmip_rel_gapmip_abs_gapmip_min_logging_intervalMIP minimum logging intervalipm_iteration_limitpdlp_native_terminationpdlp_scalingpdlp_iteration_limitpdlp_e_restart_methodpdlp_d_gap_tolqp_iteration_limitIteration limit for QP solverqp_nullspace_limitNullspace limit for QP solveriis_strategylog_dev_levellog_githashLog the githashsolve_relaxationallow_unbounded_or_infeasiblemps_parser_type_freekeep_n_rowscost_scale_factorScaling factor for costsallowed_matrix_scale_factorallowed_cost_scale_factoripx_dualize_strategysimplex_dualize_strategysimplex_permute_strategysimplex_price_strategyStrategy for PRICE in simplexpresolve_pivot_thresholdpresolve_reduction_limitpresolve_rule_offpresolve_rule_loggingpresolve_remove_slacksRemove slacks after presolvefactor_pivot_thresholdfactor_pivot_tolerancestart_crossover_toleranceuse_original_HFactor_logicless_infeasible_DSE_checkrun_centringPerform centring steps or 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Declaring node infeasible. 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Ht$è˜ÿÿÿH‰ïèH‹EÈHxèH;=t HuÇèvÿÿÿH‹E˜H;tH‹u¨H‰Çè]ÿÿÿH‰ßèH‹D$HxèH;=t Ht$è8ÿÿÿH‰ïèH‹D$HxèH;=t Ht$èÿÿÿH‰ïè>> startPresolveRuleLog [%6d, %6d] for (%2d) %s ERROR: Model %s: %d = num_deleted_rows0_ != *numDeletedRows = %d ||%d = num_deleted_cols0_ != *numDeletedCols = %d >> stopPresolveRuleLog [%6d, %6d] for (%2d) %s %-25s Rows Cols Calls %d = sum_removed_row != numDeletedRows = %d %d = sum_removed_col != numDeletedCols = %d Cannot disallow rule %2d (bit %4d): %s Copyright (c) 2024 HiGHS under MIT licence termsnum_deleted (%d, %d) %s Presolve rule removed%-25s %9d %9d %9d Total reductions%-25s %9d %9d Original modelPresolved modelPresolve rules not allowed: Rule %2d (bit %4d): %s offchooseonsimplexipmpdlpmodel_filepresolvesolverparallelrun_crossovertime_limitoptions_filerandom_seedsolution_filerangingversionwrite_model_filewrite_presolved_model_fileread_solution_filelog_fileÿÿZUÎº©ÿÿÿÿjŽûêÿÿÿÿ·Pç™Ã ¥Ë üÄÃ åË ÿÿ6ÿÿ«øÇ·‡°¿ÿÿ)basic_string::_S_construct null not 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„/·%´/¼%ì.Á%ô.Æ%ü.Ë%„/Ð%Î-Õ%Ã&Ú%Œ/ß%”/ä%¾&é%(î%œ/ó%¤/ø%Ë)ý%Ø)‚&¬/‡&ð-Œ&Û-‘&Æ-–&Ó-›&ã- &Í.¥&Ì/ª&¼/¯&´&à)¹&Ä/…(±(Ã)‰*Á-ÿÿ(*ªô €œ ˆ ” ›Œ ¾„ éü ÿÿÿÿDªì×Ì²ôÏšä¤Ô¾ÜÏ’äó Ôƒ'äÃÔ¨äÿÿ:1ÿÿ>£‡Òÿ¬§ÀoŸ» ¯ŠŽŸÓè—ÿ Ÿ› ÿÿ94ÿÿc¾ý—…Óú7µ«Ùõ…¦µÿ¨ Fµè½—•œ ¥» Íµ®¥î¥«Êµÿÿ*Ln•„ICrashError: exact subproblem solution not available at the moment. ICrashError: breakpoints does not support dualize option. ICrashError: breakpoints not implemented yet. ICrashError: ADMM parameter update not implemented yet.cannot create std::vector larger than max_size()ICrashError: not implemented yet. approximate_minimization_iterations: Solution feasible within exit tolerance: %g Residual growing too large: exit iCrash ICrash finished successfully after: %.3g sec. 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Local): Calls Time/Call%s-time %-32s: %11.4e (%5.1f%%%s-time SUM : %11.4e (%5.1f%%%s-time TOTAL : %11.4e ; Ideal; %5.1f%%; %5.1f%%):%9ld %11.4e ; %5.1f%%) AWAVAUATI‰ÔUSH‰ûHƒìhL‹rHc¯L+2H‰t$ M‰õL‰t$òD$8IÁýòL$ƒýÒ„H‹C0fïÿf/<è‡µH‹SHò4êòt$0M…í„5M‹$E1ÿfïÀE1öH=„Kc,¸fïÛòèH‰îf/Ë†H‹sIƒÇòXêD4®M9ïuÐE…ö„ßfïÿf/ø‡ÑH¸üÿÿÿÿÿÿ?H9D$‡ãJíòD$H‰ÇH‰D$@èIƒýòD$HÇI‰Æt(H‹L$@HxHÈH9ÇtHQø1öòD$èòD$I‹$H‹SHfïÒ1íëH‰ÅHc©ò òYÂHEò^Èò_ÑòAîI9ÅuÕòl$E1íf/ê†*H‹t$@L‰÷èëE1íHƒÄhD‰è[]A\A]A^A_ÃH‹C`òD$IƒÇH‹è1ÀèH‹CH‹SHòD$D4¨òXêM9ý„ÇþÿÿH‹C0M‹$H=éƒþÿÿèfïÀH‹SHòH*ÀH‹C0ò^òXêòXèòD$0é'þÿÿDH‹G`H|$XH°þÿÿèH‹T$X¾Òÿÿÿ1ÀH=èH‹D$XHxèH;=„½ýÿÿHƒ=…'‹PøJÿ‰Hø…ÒžýÿÿHt$Wèéýÿÿ€H‹t$ H=1Àèòl$8fïÒf/êvH=1ÀèH=èHÇD$E1íë'Dòd$òXd$IEòd$I9í„áI‰ÅI‹$Nc<¨H‹CHòB,øH‹CB‹¸òl$‰D$,…À~¶òCîf/D$r¨f(ÅH‹C`ò-H=H‹t$ òYèJ‹ø¸f(Íòl$Hò^L$0èòt$8fïÒf/òvòD$HH=¸ò^ÆèfïÉòT$H‹CH=ò*L$,òCîJc4¸¸ò^Ñf(ÊèéÿÿÿH‹t$ f(Äò=H=¸òYüf(ÏfH~ûò^L$0èòd$8fïÿf/çvfHnÃH=¸ò^ÄèH‹H=fHnÀ¸èòD$0H‹t$ ¸H=èH‹t$@L‰÷A½èéëüÿÿºÿÿÿÿðÁPøéÓýÿÿH=èH‰ÅëH‰ÅëH‹t$@L‰÷èH‰ïèH‹D$XHxèH;=tæHt$WèëÚÿÿ‚Ûðà ÎÚÛ Ö $HEkk::solve call %d HEkk::solve basis %d SimplexInnerExcessiveLargeOK exceedsalmost exceedsclearly satisfiesSmall nonbasicFlag size error nonbasicFlag inconsistent basicIndex size error nonbasicMove size error Call %2d; Tick %8d: offchooseonsimplexipmpdlpmodel_filepresolvesolverparallelrun_crossovertime_limitoptions_filerandom_seedsolution_filerangingversionwrite_model_filewrite_presolved_model_fileread_solution_filelog_fileCol %3d [%11.4g, %11.4g, %11.4g] %3d %3d %3d %3d Row %3d [%11.4g, %11.4g, %11.4g] %3d %3d %3d %3d For %d columns and %d rows NonBasic | Lower Upper Fixed Free | Basic Col %7d |%7d%7d%7d%7d | %7d Row %7d |%7d%7d%7d%7d | %7d ---------------------------------------------------- %7d |%7d%7d%7d%7d | %7d HEkk::debugSimplex - %s: Iteration %d Variable %d has nonbasic flag = %d HEkk::debugSimplex - %s: Iteration %d Nonbasic variable %d has primal error = %g for [%g, %g, %g] HEkk::debugSimplex - %s: Iteration %d Nonbasic variable %d has move error [%d <> %d] for [%g, %g, %g] HEkk::debugSimplex - %s: Iteration %d Basic variable %d has nonbasicFlag = %d HEkk::debugSimplex - %s: Iteration %d Basic variable %d has nonbasicMove = %d HEkk::debugSimplex - %s: Iteration %d Basic variable %d (in row %d) has baseBound [%g, %g] and workBound [%g, %g] HEkk::debugSimplex - %s: Iteration %d Basic variable %d (in row %d) has primal phase 1 cost %g for [%g, %g, %g] HEkk::debugSimplex - %s: Iteration %d %-9s max basic dual = %9.4g HEkk::debugSimplex - %s: Iteration %d Should have %d not %d primal infeasibilities HEkk::debugSimplex - %s: Iteration %d Should have %g not %g max primal infeasibility HEkk::debugSimplex - %s: Iteration %d Should have %g not %g sum primal infeasibilities HEkk::debugSimplex - %s: Iteration %d Should have %d not %d dual infeasibilities HEkk::debugSimplex - %s: Iteration %d Should have %g not %g max dual infeasibility HEkk::debugSimplex - %s: Iteration %d Should have %g not %g sum dual infeasibilities HEkk::debugSimplex - %s: Iteration %d Should be primal feasible, but num / max / sum primal infeasibility is %d / %g / %g HEkk::debugSimplex - %s: Iteration %d Should be dual feasible, but num / max / sum dual infeasibility is %d / %g / %g; Phase = %d; status = %s HEkk::debugSimplex - %s: Iteration %d %-9s max primal residual = %9.4g HEkk::debugSimplex - %s: Iteration %d %-9s max dual residual = %9.4g %s (%s) [Iter %d; Update %d] Col: %11.4g; Row: %11.4g; Diff = %11.4g: Measure %11.4g %s %11.4g Incompatible signs for Col: %11.4g and Row: %11.4g Numerical trouble or wrong sign and not reinverting UpdatedDual: %-9s absolute (%9.4g) or relative (%9.4g) error in updated dual value: Also sign error with (%9.4g, %9.4g) nonbasicFlag has %d, not %d basic variables Entry basicIndex_[%d] = %d is not basic Entry basicIndex_[%d] = %d is already basic There are %d nonbasicMove errors: %d free; %d lower; %d upper; %d boxed; %d fixed Supposed to be a Simplex basis, but not consistent Supposed to be a Simplex basis, but nonbasicMove is incorrect Supposed to be a Simplex basis, but incorrect Supposed to be a simplex basis inverse, but too inaccurate For col %d, info.workLower_ should be %g but is %g For col %d, info.workUpper_ should be %g but is %g For row %d, info.workLower_ should be %g but is %g For row %d, info.workUpper_ should be %g but is %g For variable %d, info.workRange_ should be %g = %g - %g but is %g For col %d, info.workCost_ should be %g but is %g For row %d, info.workCost_ should be zero but is %g Fixed variable %d (lp.num_col_ = %d) [%11g, %11g, %11g] so nonbasic move should be zero but is %d Fixed variable %d (lp.num_col_ = %d) so info.work value should be %g but is %g Boxed variable %d (lp.num_col_ = %d) [%11g, %11g, %11g] range %g so nonbasic move should be up/down but is %d Boxed variable %d (lp.num_col_ = %d) with kNonbasicMoveUp so work value should be %g but is %g Boxed variable %d (lp.num_col_ = %d) with kNonbasicMoveDn so work value should be %g but is %g Finite lower bound and infinite upper bound variable %d (lp.num_col_ = %d) [%11g, %11g, %11g] so nonbasic move should be up=%2d but is %d Finite lower bound and infinite upper bound variable %d (lp.num_col_ = %d) so work value should be %g but is %g Finite upper bound and infinite lower bound variable %d (lp.num_col_ = %d) [%11g, %11g, %11g] so nonbasic move should be down but is %d Finite upper bound and infinite lower bound variable %d (lp.num_col_ = %d) so work value should be %g but is %g Free variable %d (lp.num_col_ = %d) [%11g, %11g, %11g] so nonbasic move should be zero but is %d Free variable %d (lp.num_col_ = %d) so work value should be zero but is %g Not OK to solve since status.has_basis = %d Not OK to solve since status.has_ar_matrix = %d Not OK to solve since status.has_nla = %d Not OK to solve since status.has_dual_steepest_edge_weights = %d Not OK to solve since status.has_invert = %d NonbasicFreeColumnData: Number of free columns should be %d, not %d NonbasicFreeColumnData: HSet error NonbasicFreeColumnData: Set should have %d entries, not %d NonbasicFreeColumnData: Variable %d in nonbasic free set has nonbasicFlag = %d and bounds [%g, %g] HEkk::debugDualSteepestEdgeWeights Iteration %5d: Checked %2d weights: error = %10.4g; norm = %10.4g; relative error = %10.4g HEkk::debugComputeDual Iteration %d: Number of dual sign changes = %d |cB| = %g; |cN| = %g; zero delta dual = %g Iteration %6d: %s num / max / sum dual infeasibilities is %d / %g / %g Copyright (c) 2024 HiGHS under MIT licence termsH‹D$pH…ÀtH|$`ºH‰þÿÐH‰ïèH‹|$0H‹t$@H)þH…ÿtèL‰ç¾ÈI‰ÜèH‰ï¾ÈèL‰çèH‹EÈHxèH;=t Hu¿èH‹EÀHxèH;=t HuÈèH‰ßèH‹µpÿÿÿL)æM…ätL‰çèH‹µ`ÿÿÿL)þM…ÿtL‰ÿèH‹µPÿÿÿH‹EH)ÆH…ÀtH‹}èë’L‰æëðH‹µpÿÿÿL)æë²H‹EÈHxèH;=t Hu¿èH‹EÀHxèH;=tL‰þèH‰ßèH‹D$(HxèL9ït Ht$'èH‰ïèM…ätL‰öL‰çèH‰ïèH‹D$HxèL9÷t Ht$èH‹D$HxèL9÷tL‰þèH‰ïèH‹D$HxèH;=t Ht$èH‰ïèH‹|$ H‹t$0H)þH…ÿtèH‰ïèH‹¼$¸H‹´$ÈH)þH…ÿtèH‹¼$ H‹´$°H)þH…ÿtèH‹|$xH‹´$ˆH)þH…ÿtèH‹|$`H‹t$pH)þH…ÿtèH‹|$@H‹t$PH)þH…ÿtèH‹|$(H‹t$8H)þH…ÿ…[ÿÿÿé[ÿÿÿH‹D$0HxèH9ßt Ht$/èH‹D$8HxèH9ßt Ht$0èH‹|$@H‹t$PH)þH…ÿtèH…ítL‰þH‰ïèL‰çèÿÿ¦Ú» ŽÌÃ ³ ÿÿAÿÿ\Ü¸Ù$Èé$¶%Êù$³á$ô…Ù$ºñ$— Ù$Ì 7á$£!ù$"á$Ð"Ù$í"Aá$—$%²$Ù$ÿÿ7ÿÿ[ý‘¨ÿÿ6ÿÿàÁ÷ÿÿÿÿ€-ñOè˜Ðÿÿÿÿl¼”ÌŒùÚÿÿ1ÿÿ (Œÿÿÿÿ¯é“ÌÊãð‹†ÿÿÿÿ$Ö½ÃôÒðÚÁ ÊÀÒÅÿÿZbasic_string::_S_construct null not validAUATUSHƒìH…ö„¡I‰üH‰÷H‰õI‰ÕèH‰ÃH…ÀtDL‰ê1öH‰ÇèI‰ÅHHHƒûtJH‰ÏH‰ÚH‰îèH‰ÁL;-u@I‰$HƒÄ[]A\A]ÃH‹HHI‰$HƒÄ[]A\A]ÃfD¶EAˆEë½fDAÇEI‰]AÆDë¬H=èATH=UHƒìèH‹=Ld$HH5èL‰âH5H=èH‹-HH5H‰ïèL‰âH5H=èH‰ïHH5èL‰âH5H=èH‰ïHH5èL‰âH5H=èH‰ïHH5èL‰âH5H=èH‰ïHH5èL‰âH5H=èH‰ïHH5èL‰âH5H=èH‰ïHH5èL‰âH5H=èH‰ïHH5èL‰âH5H=èH‰ïHH5èL‰âH5H=èH‰ïHH5èL‰âH5H=èH‰ïHH5èL‰âH5H=èH‰ïHH5èL‰âH5H=èH‰ïHH5èL‰âH5H=èH‰ïHH5èL‰âH5H=èH‰ïHH5èL‰âH5H=èH‰ïHH5èL‰âH5H=èH‰ïHH5èL‰âH5H=èH‰ïHH5èL‰âH5H=èH‰ïHH5èL‰âH5H=èH‰ïHH5èL‰âH5H=èH‰ïHH5èL‰âH5H=èH‰ïHH5èL‰âH5H=èHƒÄH‰ïH]H5A\éeÍÍAY@à1A4@ð¿ð?íµ ÷Æ >íµ ÷Æ°>ê-™—q=ÿÿÿÿÿÿïü©ñÒMbP?$@ÿÿÿÿÿÿïÿ¼‰Ø—²Òœ<à?L" !#$%)*+,-.0123:B&'(<?=@JGCD>A;MNKIOÿÿÿÿÿÿÿ€HEkk::debugRetaiÿÿÿÿÿÿÿÿÿÿÿÿÿÿGCC: (GNU) 10.2.1 20210130 (Red Hat 10.2.1-11)zRx!03\DTKBŽB B(ŒA0†D8ƒGPÿ8A0A(B BBBJÃÆÌÍÎÏHPƒ†ŒŽzPLRx›P$BBŽB B(ŒD0†A8ƒG › 8D0A(B BBBD ›Aƒc Dq G¨<çBBŽB B(ŒA0†A8ƒG`{hFpAxL€EˆAF˜B E¨I°B¸BÀAÈEÐEØEàDèBðT8A0A(B BBBE`RhEpKhG`”hGpKhA`LHËBBŽB B(ŒA0†A8ƒJÀi 8A0A(B BBBI,zPLRx›Àƒ†ŒŽ4]€È\ô‰A†C PŽŒƒÈ.u G;.w.;./.h.ã.V.v.y.¶.].,zPLRx›ƒ†ŒŽ4™4œ0A†C MŽŒƒ¦ Iª..„;LìBBŽB B(ŒA0†A8ƒDpb 8D0A(B BBBC(zPLRx›pƒ†ŒŽ0 L€pBBŽB B(ŒA0†A8ƒD@N 8D0A(B BBBG(zPLRx›@ƒ†ŒŽ0,´•BŒA†A ƒs DBC`äGBBŽB B(ŒA0†A8ƒD€Ä 8A0A(B BBBDˆXE˜E U€8H°BBŒA †A(ƒD0E (D ABBHLäœBBŽB B(ŒA0†A8ƒD`@ 8D0A(B BBBE(zPLRx›`ƒ†ŒŽ06'4Œ”BŒD†A ƒG@u AABI$zPLRx›@ƒ†Œ,$H¤¯BEŽB B(ŒA0†A8ƒD`‰ 8D0A(B BBBITðBEŽB B(ŒG0†A8ƒD@R 8D0A(B BBBJ‹HvPYHA@LHüBŽBB ŒA(†A0ƒþ (A BBBC¡ (C BBBF`˜ˆBBŒA †A(ƒD0’ (A ABBF- (F ABBH_ (F ABBFP\BBŽB B(ŒA0†D8ƒG 8A0A(B BBBA,zPLRx›ƒ†ŒŽ4¼˜ ¬P âBBŽB B(ŒA0†C8ƒG { 8C0A(B BBBF,zPLRx› ƒ†ŒŽ4_4\ bBŒD†C ƒX CBJlCBL” ÀBBŒA †A(ƒD0^ (A ABBBS (A ABBG,ä 4BŒH†D0 KI@ñÿ 3'@T KT}P¨LÕH D:@v]•8Ú0$(l^™ ø;Þ4 T)l6X¢$€Æ¼®ß‚_14N]{ø¨ð¼è×àëØûÐÈ"À7¸J°_¨x Ž˜¦½ˆÖ€êxþph=`ZX!"ntz€ †Œ8’p˜ž¤ ª0°@¶P¼`ÂpÈ€ÎÔ Ú°à(æ+ìPòÀøÐþ@8 0 p"À(.H4P:B@XF`LˆRHX8^dHjXpPv |ø‚Øˆ¨Žh”°š H¥h«i±ø·Z½KÃXÉÏÈÕÛ{á çàí·ó¨ ùx ÿƒH œÎØ 0 #h )ð/Ø 5¨ ;øBxIO@VP\ˆcÀj q0x(†8Ø ”°› ¢˜©¨°h ·`¾ÈÅøÌ@ÓÚpá èpïàö¸ý ç ˆ € x% , X3 ˆ: (? 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edge with possible switch to Devex Dual simplex cleanup level has exceeded limit of %d chooseFinal would create %d dual infeasibilities Move %s: cost shift = %g; objective change = %g Performed num / max / sum = %d / %g / %g flip(s) for num / min / max / sum dual infeasibility of %d / %g / %g / %g; objective change = %g Performed num / max / sum = %d / %g / %g shift(s) for num / max / sum dual infeasibility of %d / %g / %g; objective change = %g Costs are already perturbed in exitPhase1ResetDuals Re-perturbing costs when optimal in phase 1 Variable %d is free: shift cost to zero dual of %g Performed %d cost shift(s) for free variables to zero dual values: total = %g LP is dual %s with dual phase 1 objective %10.4g and num / max / sum dual infeasibilities = %d / %9.4g / %9.4g LP is dual feasible wrt Phase 2 bounds after removing cost perturbations so go to phase 2 LP is dual feasible wrt Phase 1 bounds after removing cost perturbations: dual objective is %10.4g LP has %d dual feasibilities wrt Phase 1 bounds after removing cost perturbations so return to phase 1 Optimal in phase 1 but not jumping to phase 2 since dual objective is %10.4g: Costs perturbed = %d LP-Solver dimension incompatibility (%d, %d) != (%d, %d) LP-Factor dimension incompatibility (%d, %d) != (%d, %d) When computing exact dual objective, the unperturbed costs yield num / max / sum dual infeasibilities = %d / %g / %g Col %4d: ExactDual = %11.4g; WorkDual = %11.4g; Residual = %11.4g Row %4d: ExactDual = %11.4g; WorkDual = %11.4g; Residual = %11.4g ||exact dual vector|| = %g; ||delta dual vector|| = %g: ratio = %g HEkkDual::solvePhase2: %12g = Objective > ObjectiveUB = %12g %s on iteration %d: Density %11.4g; Frequency %d: Residual(Perturbed = %g; Exact = %g) WARNING: %d = slice_num > kHighsSlicedLimit = %d so truncating slice_num HEkkDual::iterate Debug iteration %d Dual simplex ratio test failed due to excessive dual values: consider scaling down the LP objective coefficients Dual simplex detected excessive primal values: consider scaling down the LP bounds Cleaning up cost perturbation when unbounded in phase 1 HEkkDual::solvePhase1 solve_phase == %d (solve call %d; iter %d) Moving to phase 2, but not allowing cost perturbation HPrimalDual::solve has error in dual information HDual:: Should enter solve with INVERT Basis should be dual feasible, but duals without cost perturbation have num / max / sum = %4d / %g / %g infeasibilities !!Not forcing phase 2!! basis Id = %d; update count = %d; name = %s Dual feasible with unperturbed costs and num / max / sum primal infeasibilities of %d / %g / %g, so near-optimal Near-optimal, so don't use cost perturbation Basis is not logical, but near-optimal, so use Devex rather than compute steepest edge weights Basis is not logical, so compute steepest edge weights HEkkDual:: Cannot use level %d primal simplex cleanup for %d dual infeasibilities HEkkDual:: Using primal simplex to try to clean up num / max / sum = %d / %g / %g dual infeasibilities HEkkDual:: Primal simplex clean up yields optimality, but with %d (max %g) primal infeasibilities and d (max %g) dual infeasibilities SIP trying to use using %d slices due to concurrency (%d) being too small: results unpredictable Copyright (c) 2024 HiGHS under MIT licence termsdual-cleanup-shift updowninfeasiblefeasibleHave DualUB bailoutNo DualUB bailoutdual-phase-1-start dual-phase-1-optimal dual-phase-1-not-solved dual-phase-1-unbounded dual-phase-2-start dual-phase-2-found-free dual-phase-2-optimal problem-optimal dual-phase-2-not-solved problem-primal-infeasible offchooseonsimplexipmpdlpmodel_filepresolvesolverparallelrun_crossovertime_limitoptions_filerandom_seedsolution_filerangingversionwrite_model_filewrite_presolved_model_fileread_solution_filelog_filebasic_string::_S_construct null not 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Full CHUZC: Max measure is %9.4g for column %4d, and max non-candidate measure of %9.4g Chosen entering variable %d (Iter = %d; Update = %d) has computed (updated) dual of %10.4g (%10.4g) so don't use it%s%s Numerical check: Iter %4d: alpha_col = %12g, (From %3s alpha_row = %12g), aDiff = %12g: measure = %12g HEkkPrimal::phase1update failed to remove nonbasic free column %d HEkkPrimal::shiftBound LB = %g; random_value = %g; value = %g; feasibility = %g; infeasibility = %g; shift = %g; bound = %g; new_infeasibility = %g; Value(%4d) = %10.4g exceeds %s = %10.4g by %9.4g, so shift bound by %9.4g to %10.4g: infeasibility %10.4g with error %g Entering variable has primal infeasibility of %g for [%g, %g, %g] phase2UpdatePrimal: max_local_primal_infeasibility = %g phase2UpdatePrimal: max_ignored_violation = %g correctPrimal: Missed %d bound shifts phase2CorrectPrimal: num / max / sum primal corrections = %d / %g / %g debugPrimalSteepestEdgeWeights: var = %2d; weight (true = %10.4g; updated = %10.4g) error = %10.4g HEkk::debugPrimalSteepestEdgeWeights Iteration %5d: Checked %2d weights: error = %10.4g; norm = %10.4g; relative error = %10.4g HEkkPrimal:: LP has %d free columns HEkkPrimal::rebuild switching back to phase 1 from phase 2 vector::_M_range_check: __n (which is %zu) >= this->size() (which is %zu)HEkkDual::iterate Debug iteration %d Primal phase 1 choose row failed HEkkPrimal::rebuild Solve %d; Iter %d: rebuild_reason = %d Moving to phase 2, but not allowing bound perturbation HEkkPrimal::solvePhase2 row_out = %d solve %d HEkkPrimal::solve called without INVERT Primal feasible and num / max / sum dual infeasibilities of %d / %g / %g, so near-optimal Near-optimal, so don't use bound perturbation HEkkPrimal::solve Only basis change is taboo HEkkPrimal:: Using dual simplex to try to clean up num / max / sum = %d / %g / %g primal infeasibilities HEkkPrimal:: Dual simplex clean up yields optimality, but with %d (max %g) primal infeasibilities and d (max %g) dual 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HxèH9ïtL‰öèöôÿÿL‰çèH‹D$HxèH9ït Ht$èÖôÿÿH‹D$ HxèH9ïtL‰öèÀôÿÿL‰çèH‹D$HxèH9ït Ht$è ôÿÿH‹D$ HxèH9ïtL‰öèŠôÿÿL‰çèH‹D$HxèH9ït Ht$èjôÿÿH‹D$ HxèH9ïtL‰öèTôÿÿL‰çèH‹D$HxèH9ït Ht$è4ôÿÿH‹D$ HxèH9ïtL‰öèôÿÿL‰çèH‹D$HxèH9ït Ht$èþóÿÿH‹D$ HxèH9ïtL‰öèèóÿÿL‰çèH‹D$HxèH9ït Ht$èÈóÿÿH‹D$ HxèH9ïtL‰öè²óÿÿL‰çèH‹D$HxèH9ït Ht$è’óÿÿH‹D$ HxèH9ïtL‰öè|óÿÿL‰çèH‹D$0H…Àt ºL‰îL‰ïÿÐH‰ïèH‹D$HxèH9ït Ht$è=óÿÿH‹D$ HxèH9ïtL‰öè'óÿÿL‰çèH‹D$HxèH9ït Ht$èóÿÿH‹D$ HxèH9ïtL‰öèñòÿÿL‰çèH‹D$HxèH9ït Ht$èÑòÿÿH‹D$ HxèH9ïtL‰öè»òÿÿL‰çèH‹D$HxèH9ït Ht$è›òÿÿH‹D$ HxèH9ïtL‰öè…òÿÿL‰çèH‹D$HxèH9ït Ht$èeòÿÿH‹D$ HxèH9ïtL‰öèOòÿÿL‰çèH‹D$HxèH9ït Ht$è/òÿÿH‹D$ HxèH9ïtL‰öèòÿÿL‰çèH‹D$HxèH9ït Ht$èùñÿÿH‹D$ HxèH9ïtL‰öèãñÿÿL‰çèH‹D$HxèH9ït Ht$èÃñÿÿH‹D$ HxèH9ïtL‰öèñÿÿL‰çèH‹D$HxèH9ït Ht$èñÿÿH‹D$ HxèH9ïtL‰öèwñÿÿL‰çèHighsTimer: reading clock %d: %s Clock %d - %s - still running cannot create std::vector larger than max_size() %s-time Operation : Time ( Total; Local): Calls Time/Call%s-time %-32s: %11.4e (%5.1f%%%s-time SUM : %11.4e (%5.1f%%%s-time TOTAL : %11.4e HighsTimer: starting clock %d: %s HighsTimer: stopping clock %d: %s Analysis of %d iterations (%d to %d) DSE for %12d (%3d%%) iterations Dvx for %12d (%3d%%) iterations Dan for %12d (%3d%%) iterations %12d hyper-sparse operations (%3d%%) %12d hyper-sparse results (%3d%%) %12g density of result (%d / %d nonzeros) Invert performed %d times: average frequency = %d %12d (%3d%%) Invert operations due to update limit reached %12d (%3d%%) Invert operations due to pseudo-clock %12d (%3d%%) Invert operations due to possibly optimal %12d (%3d%%) Invert operations due to possibly primal unbounded %12d (%3d%%) Invert operations due to possibly dual unbounded %12d (%3d%%) Invert operations due to possibly singular basis %12d (%3d%%) Invert operations due to primal infeasible in primal simplex %12d (%3d%%) costly DSE iterations %12d average number of iterations %12d quad CHUZC: average / max = %d / %d %12d heap CHUZC: average / max = %d / %d grepQuadHeapChuzc,%s,%s, %d, ,%d,%d, %d, ,%d,%d Dual_CHUZC: Number of improve CHUZC row calls = %d Dual_CHUZC: Number of pivots removed from pack = %d %12d correct dual primal flips (max = %g) for min dual infeasibility = %g %12d correct dual cost shifts (max = %g) for max dual infeasibility = %g %12d single cost shifts (sum / max = %g / %g) grepFlipShift,%s,%s,%d,%g,%g,%d,%g,%g,%d,%g,%g PAMI summary: for average of %0.1g threads %12d Total rows chosen: performed %3d%% of possible minor iterations Iter ( FmIter: ToIter) Time Iter/sec STRANGE: %d = dlIter != AnIterTraceIterDl = %d Of %10d Sps/Hyper decisions made using regression: %10d wrong sparseTRAN; %10d wrong hyperTRAN: using original logic %10d wrong sparseTRAN; %10d wrong hyperTRAN: using new logic Iteration Objective EnC LvC LvR ThDu ThPr DlPr NumCk Aa %11.4g %11.4g %11.4g %11.4g %11.4g %11.4g %7d %7d %7d %11.4g %11.4g reportFactorTimer: HFactor clocks for thread %d / %d reportFactorTimer: HFactor clocks for all %d threads Copyright (c) 2024 HiGHS under MIT licence terms; Ideal; %5.1f%%; %5.1f%%):%9ld %11.4e ; %5.1f%%) LowHighClock %d - %s - not running %-10s performed %d times %12d Price operations: %12d Col Price (%3d%%) %12d Row Price (%3d%%) %12d Row PriceWSw (%3d%%) Devex summary%12d Devex frameworks Cycling detected %d times:%d in primal simplex; %d in dual simplex Quad/heap CHUZC summary Flip/shift summary%12d Major iterations %12d Minor iterations Cost perturbation summary Iteration speed analysis| PAMI | C_Aq R_Ep R_Ap DSE PSE | EdWt | CostlyDseDSEDvxDanXXX%12d (%12d:%12d) %9.4f %12d | %3d %4d | %3s | grep_kernel,%s,%s,%d,%d,%d,%g,%g,%g,Fill-in,%g,%g,%g,%g Du%2sPh%1dPr %10d %20.10e Infeasibilities num(sum) Ph1: %d(%g) Pr: %d(%g); Du: %d(%g) Concurr. %2d|%2d|%2d | | Multi %3d%% C_Aq R_Ep R_Ap S_Ed %7d %7d %7d %ds%s SimplexInnerINVINVERTIVSINVERT SimpleIVKINVERT KernelIVDINVERT DeficientIVFINVERT FinishFTRFTRANFTLFTRAN LowerFLAFTRAN Lower APFFLDFTRAN Lower DseFLSFTRAN Lower SpsFLHFTRAN Lower HyperFTUFTRAN UpperFUFFTRAN Upper FTFUMFTRAN Upper MPFFUDFTRAN Upper DseFUSFTRAN Upper Sps0FTRAN Upper Sps1FTRAN Upper Sps2FUHFTRAN Upper Hyper0FTRAN Upper Hyper1FTRAN Upper Hyper2FTRAN Upper Hyper3FTRAN Upper Hyper4FTRAN Upper Hyper5FUPFTRAN Upper PFBTRBTRANBTLBTRAN LowerBLDBTRAN Lower DseBLSBTRAN Lower SpsBLHBTRAN Lower HyperBLABTRAN Lower APFBTUBTRAN UpperBUPBTRAN Upper PFBUDBTRAN Upper DseBUSBTRAN Upper SpsBUHBTRAN Upper HyperBUFBTRAN Upper FTBUMBTRAN Upper MPSRIVReINVERTFactorLevel0FactorLevel1FactorLevel2STTSimplex totalIWTIz DSE WtDP1Dual Phase 1DP2Dual Phase 2PP1Primal Phase 1PP2Primal Phase 2GP1GROUP1ITRITERATEDRBDUAL REBUILDPRBPRIMAL 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Row infeasible: Row value= L= U=]=, u=inf, z[Dual feasibility fail: l[ = x[, z[Dual feasibility fail: x[=u[], z[: L= , Ax=, U=, y=Dual feasible. Complementary Slackness. Comp. slackness fail: l[, x[Comp. slackness fail: x[, u[Stationarity of Lagrangian. Column = , rather than zero.Col .BFS.BFS X Violated: KKT warning: empty problemoffchooseonKKT check error: Primal infeasible. Dual feasibility fail: l=-inf, x[Dual feasibility fail for row KKT check error: Dual feasibility fail. 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HuÇè@ÿÿÿH‰ßèMatrix dimension validation fails on number of vectors = %d < 0 Matrix dimension validation fails on start size = %d < %d = num vectors + 1 Matrix dimension validation fails on p_end size = %d < %d = num vectors + 1 Matrix dimension validation fails on index size = %d < %d = number of nonzeros Matrix dimension validation fails on value size = %d < %d = number of nonzeros Matrix dimension validation fails on number of nonzeros = %d < 0 %s matrix start vector begins with %d rather than 0 %s matrix packed vector %d has illegal start of %d < %d = previous start %s matrix packed vector %d has illegal partition end of %d < %d = start %s matrix packed vector %d has illegal start of %d > %d = number of nonzeros %s matrix packed vector %d has illegal partition end of %d > %d = number of nonzeros %s matrix packed vector %d, entry %d, is illegal index %d %s matrix packed vector %d, entry %d, is illegal index %12d >= %d = vector dimension %s matrix packed vector contains %d |values| in 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___| | | | _ \| _ \| | | _ \| | | | | | |_) | | | | | | |_) || |___| |_| | __/| |_| | |___| __/ \____|\___/|_| |____/|_____|_| -nIterLim: maximum iteration number default: INT_MAX -ifScaling: whether to use scaling range: true or false -eLineSearchMethod: which line search method to use 0-Fixed, 1-Malitsky (not support), 2-Adaptive range: 0 to 2 -dPrimalTol: primal tolerance type: double -dFeasTol: feasibility tolerance -dTimeLim: time limit (in seconds) -eRestartMethod: which restart method to use 0-None, 1-KKTversion range: 0 to 1 -ifRuizScaling: whether to use Ruiz scaling -ifL2Scaling: whether to use L2 scaling default: false -ifPcScaling: whether to use Pock-Chambolle scaling------------------------------------------------PrimalStep: %e, SumPrimalStep: %e, DualStep: %e, SumDualStep: %e Stepsize: %e, Primal weight: %e Ratio: %e --------------------------------"terminationInfeasIterate":"%s"CUPDHG Parameters: nIterLim: %d dTimeLim (sec): %.2f ifScaling: %d ifRuizScaling: %d ifL2Scaling: %d ifPcScaling: %d eLineSearchMethod: %d dPrimalTol: %.4e dDualTol: %.4e dGapTol: %.4e dFeasTol: %.4e eRestartMethod: %d nLogLevel: %d nLogInterval: %d CUPDHG User Parameters: -h: print this helper type: int range: >= 0 type: bool default: true default: 2 default: 1e-4 -dDualTol: dual tolerance -dGapTol: gap tolerance default: 1e-8 default: 3600 default: 1-nIterLim-ifScaling-iScalingMethod-eLineSearchMethod-dScalingLimit-dPrimalTol-dDualTol-dGapTol-dFeasTol-dTimeLim-eRestartMethod-ifRuizScaling-ifL2Scaling-ifPcScaling-nLogLevel-nLogInt-ifPre%s: %.3f %d Iteration % 3d %s: %6.3f %s (Trans): --- saving to %s wcuPDLP-C"solver":"%s","nIter":%d,"nAtyCalls":%d,"nAxCalls":%d,"dSolvingBeg":%f,"dSolvingTime":%f,"dPresolveTime":%f,"dScalingTime":%f,"dPrimalObj":%.14f,"dDualObj":%.14f,"dPrimalFeas":%.14f,"dDualFeas":%.14f,"dPrimalObjAverage":%.14f,"dDualObjAverage":%.14f,"dPrimalFeasAverage":%.14f,"dDualFeasAverage":%.14f,"dDualityGap":%.14f,"dDualityGapAverage":%.14f,"dRelPrimalFeas":%.14f,"dRelDualFeas":%.14f,"dRelDualityGap":%.14f,"terminationCode":"%s","terminationIterate":"%s","primalCode":"%s","dualCode":"%s",--- saving sol to %s "nCols": %d, "nRows": %d"col_value": [%.14f,%.14f"col_dual": ["row_value": ["row_dual": [LAST_ITERATEAVERAGE_ITERATEOPTIMALINFEASIBLEUNBOUNDEDINFEASIBLE_OR_UNBOUNDEDTIMELIMIT_OR_ITERLIMITFEASIBLEd ¬@ÿÿÿðÿðð?@-Cëâ6?-Cëâ6?-Cëâ6?:Œ0âŽyE>ð?ð?GCC: (GNU) 10.2.1 20210130 (Red Hat 10.2.1-11)zRx!F†UÆ8CF†xBÆTCF†xBÆ8pKŒA†G X DÆBÌO`ÆÌH †Œ¬‘J†€ÆÈÜ+F†\FÆ(øKŒA†G èDÆBÌ$©J†’Æ@Th1F†cÆD„÷BBŽB B(ŒA0†D8ƒDPÙ8C0A(B BBBHÌ»BBŒA †A(ƒD0 (F ABBLD(A ABBXDO0TDKdLBBŽB B(ŒA0†A8ƒD` 8A0A(B BBBF„ 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failedbasiclu_factorize failed normLinv = normUinv = stability = basiclu_update failed max eta = offchooseon¿èH5H‰ÇH‰ÅèH‹H‹5H‰ïèI‰ÄH‰ïèL‰çèHƒ=t ƒÈÿðÁGë ‹GPÿ‰W…ÀéÃ¿èH5H‰ÇH‰ÅèH‹H‹5H‰ïèI‰ÄH‰ïèL‰çè¿èH5H‰ÇI‰ÄèH‹H‹5L‰çèH‰ÅëL‰çH‰ÅèH‹»ÀH‹³ÐH)þH…ÿtèH‹»¨H‹³¸H)þH…ÿtèH‹»H‹³ H)þH…ÿtèH‹{xH‹³ˆH)þH…ÿtèH‹{`H‹spH)þH…ÿtèH‹{HH‹sXH)þH…ÿtèH‹{0H‹s@H)þH…ÿtèH‹{H‹s(H)þH…ÿtèH‰ïèH‹D$(H‹-HxèH9ïtL‰öèmþÿÿH‹D$ HxèH9ït Ht$(èUþÿÿH‹D$HxèH9ït Ht$(è=þÿÿL‰çè¿èH5H‰ÇH‰ÅèH‹H‹5H‰ïèI‰ÄH‰ïèL‰çè¿èH5H‰ÇH‰ÅèH‹H‹5H‰ïèI‰ÄH‰ïèL‰çè¿èH5H‰ÇH‰ÅèH‹H‹5H‰ïèI‰ÄH‰ïèL‰çè¿èH5H‰ÇH‰ÅèH‹H‹5H‰ïèI‰ÄH‰ïèL‰çè¿èH5H‰ÇH‰ÅèH‹H‹5H‰ïèI‰ÄH‰ïèL‰çè¿èH5H‰ÇH‰ÅèH‹H‹5H‰ïèH‹D$HxèH;=t Ht$èŠüÿÿH‰ïèH‹D$HxèH;=t Ht$èfüÿÿH‰ïèI‰ÄH‰ïèL‰çèÿÿFÿÿ2-ÿÿKœÿÿ2-ÿÿœžðÿÿ 7-2‚ÿÿV…çO†ÂT÷¢ïÿÿPl‡‚ÿÿ-Sÿÿ2-ÿÿ)Oÿÿ2-ÿÿ[àÿÿ2-ÿÿY¾ÿÿ2-ÿÿWëÎ §8ë‡ ÿÿz-`HUH‰ýH‰H‹¿ÀH…ÿtH‹µÐH)þèH‹½¨H…ÿtH‹µ¸H)þèH‹½H…ÿtH‹µ H)þèH‹}xH…ÿtH‹µˆH)þèH‹}`H…ÿtH‹upH)þèH‹}HH…ÿtH‹uXH)þèH‹}0H…ÿtH‹u@H)þèH‹}H…ÿtH‹u(H)þèH‰ï¾à]ébasic_string::_S_construct null not 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Crossover from s Using starting point provided by user. 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