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natives.linux_64.libhighs.so Maven / Gradle / Ivy

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?I?^= /-*[]Failed to fill buffer after 1000 tries1.2.11zlib: Z_STREAM_ERROR: Z_DATA_ERROR: Z_MEM_ERROR: Z_VERSION_ERROR: Z_BUF_ERROR:  (next_in: , avail_in: , next_out: , avail_out: basic_string::appendstrict_fstream: open(''): mode error: trunc and not out'): mode error: app and not out'): mode error: trunc and app',): open failed: truncnonebasic_string: construction from null is not valid): peek failed: File not existent or illegal file format.vector::_M_realloc_insertFile appears to contain indicator constraints: cannot currently be handled by HiGHSN14strict_fstream9ExceptionEN4zstr8ifstreamEN4zstr6detail21strict_fstream_holderIN14strict_fstream8ifstreamEEEN14strict_fstream8ifstreamEN4zstr10istreambufEN4zstr9ExceptionE00010203040506070809101112131415161718192021222324252627282930313233343536373839404142434445464748495051525354555657585960616263646566676869707172737475767778798081828384858687888990919293949596979899St15_Sp_counted_ptrIP8VariableLN9__gnu_cxx12_Lock_policyE2EESt16_Sp_counted_baseILN9__gnu_cxx12_Lock_policyE2EESt11_Mutex_baseILN9__gnu_cxx12_Lock_policyE2EESt15_Sp_counted_ptrIP10ExpressionLN9__gnu_cxx12_Lock_policyE2EESt15_Sp_counted_ptrIP7LinTermLN9__gnu_cxx12_Lock_policyE2EESt15_Sp_counted_ptrIP8QuadTermLN9__gnu_cxx12_Lock_policyE2EESt15_Sp_counted_ptrIP10ConstraintLN9__gnu_cxx12_Lock_policyE2EESt15_Sp_counted_ptrIP3SOSLN9__gnu_cxx12_Lock_policyE2EEe??Ap?H
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log_typerunning_timesimplex_iteration_countipm_iteration_countpdlp_iteration_countobjective_function_valuemip_node_countmip_total_lp_iterationsmip_primal_boundmip_dual_boundmip_gapmip_solutioncutpool_num_colcutpool_num_cutcutpool_num_nzcutpool_startcutpool_indexcutpool_valuecutpool_lowercutpool_upperCopyright (c) 2024 HiGHS under MIT licence termschooserun_crossoveroptions_filerandom_seedrangingwrite_model_filewrite_presolved_model_fileread_solution_fileoutput_flagDeprecatedHighs_setOptionValueHighs_setStringOptionValueHighs_runQuietHighs_setHighsLogfileHighs_setHighsOutputHighs_getIterationCountHighs_getIntInfoValueHighs_getSimplexIterationCountHighs_setHighsBoolOptionValueHighs_setBoolOptionValueHighs_setHighsIntOptionValueHighs_setIntOptionValueHighs_setHighsDoubleOptionValueHighs_setDoubleOptionValueHighs_setHighsStringOptionValueHighs_setHighsOptionValueHighs_getHighsBoolOptionValueHighs_getBoolOptionValueHighs_getHighsIntOptionValueHighs_getIntOptionValueHighs_getHighsDoubleOptionValueHighs_getDoubleOptionValueHighs_getHighsStringOptionValueHighs_getStringOptionValueHighs_getHighsOptionTypeHighs_getOptionTypeHighs_resetHighsOptionsHighs_resetOptionsHighs_getHighsIntInfoValueHighs_getHighsDoubleInfoValueHighs_getDoubleInfoValueHighs_getHighsRunTimeHighs_getRunTimeHighs_getHighsInfinityHighs_getInfinityHighsTimer: reading clock %d: %s
vector::_M_default_appendMethod Highs_call is deprecated: alternative method is Highs_lpCall5Highs9HighsInfo15HighsInfoStruct12HighsOptions18HighsOptionsStruct10HighsTimer21PresolveComponentData18HighsComponentDatagzemsFile %s not found
Parser error reading %s
Parser not implemented for %sParser reached timeout
/\basic_string::substr%s: __pos (which is %zu) > this->size() (which is %zu)basic_string::erase	

 n_rows not found in EMS file
n_columnsn_columns not found in EMS file
n_matrix_elementsn_matrix_elements not found in EMS file
matrix not found in EMS file
column_boundscolumn_bounds not found in EMS file
row_boundsrow_bounds not found in EMS file
column_costscolumn_costs not found in EMS file
integer_columnsend_linearnamesnames not found in EMS file
EMS file not found
shiftvector::reservecannot create std::vector larger than max_size()vector::_M_fill_insert?13FilereaderEms10Filereader????SOS not supported by HiGHS
Quadratic constraints not supported by HiGHS
HiGHS_RName %s begins with "HiGHS_R"
Cannot create row name beginning "HiGHS_R" due to others with same prefix: row names cleared
 %+.15g %.15g x%ld con%ld\ %sFile written by HiGHS .lp file handler obj:+ [ *  ]/2  =lo: >=up: <= freesemi12FilereaderLpQ??????h???s???Ӑ??Free format reader has detected row/col names with spaces: switching to fixed format parser
Free format reader reached time_limit while parsing the input file
13FilereaderMps??????????????̝??_??????????	??????!???-???9???E???Q???]???i???u???????????c9fdc9c (git hash: Running HiGHS %d.%d.%d%s: %s
%.1g%.2g%.3g%.4g%.5g%.6g%.7g%.8g%.9g%.10g%.11g%.12g%.13g%.14g%.16g%-9s   output_flag = %s
   log_to_console = %s
   log_dev_level = %ld

true WARNING: ERROR:   
Highs log options   log_stream = Not NULL   log_stream = NULL???Ϋ??Ϋ????????.???X??????????z???z???????C??????????ޭ?????????????????????????Ϋ??????????Ϋ??????????[???S???Ӽ??S???S???S???S???????S???Q???Quadratic rows not supported by HiGHS
Cones not supported by HiGHS
Linear constraints %d and %d have the same name "%s"
Variables %d and %d have the same name "%s"
Non-monotonic starts in MPS file reader
readMPS: Trying to open file %s
readMPS: Not opened file OK
MPS 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
QCMATRIXQSECTIONCSECTIONNAMEOBJSENSEMINCOLUMNSRHSBOUNDSRANGESQMATRIXQUADOBJDELAYEDROWSMODELCUTSINDICATORSSETSSOSGENCONSPWLOBJPWLNAMPWLCONENDATAreadMPS: Read NAME    OK
readMPS: Read OBJSENSE OK
ObjectivereadMPS: Read ROWS    OK
No objective row found
artificial_empty_objectiveEntry "%s" in ROWS section of MPS file is unidentified
Anomalous exit when parsing BOUNDS section of MPS file
readMPS: Read COLUMNS OK
'MARKER''INTEND''INTORG'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"
readMPS: Read RHS     OK
No bound given for row "%s"
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
RHS for row "%s" is NaN
No coefficient given for rhs of row "%s"
Number of MI entries in BOUNDS section is %ld
Number of PL entries in BOUNDS section is %ld
Number of BV entries in BOUNDS section is %ld
Number of LI entries in BOUNDS section is %ld
Number of UI entries in BOUNDS section is %ld
Number of SI entries in BOUNDS section is %ld
Number of SC entries in BOUNDS section is %ld
readMPS: Read BOUNDS  OK
LOFXMIPLBVLIUISISCEntry 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] = [%1ld, %1ld]
No bound given for %s row "%s"
Bound for column "%s" is NaN
Bound for LI/UI/SI column "%s" is %g: not integer
readMPS: Read RANGES  OK
No range given for 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
Range for row "%s" is NaN
Unknown specifiers in RANGES section for row "%s"
readMPS: Read %s OK
%s has no coefficient for entry "%s" in column "%s"
Hessian coefficient for entry "%s" in column "%s" is NaN
No row name given in argument of %s
Row name "%s" in %s section is not defined: ignored
readMPS: Read %s  OK
Cone name missing in CSECTION
0.0Cone type missing in CSECTION %s
ZERORQUADPEXPPPOWDEXPDPOWUnrecognized cone type %s
readMPS: Read CSECTION OK
readMPS: Read SETS    OK
S1S2No name given for SOS
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
basic_string::replacevector::_M_range_check: __n (which is %zu) >= this->size() (which is %zu)vector::_M_insert_auxvector::_M_fill_insertg???????????g???g???????(???U???????ꌠ9Y>)?ꌠ9Y>)F!???????/???????????????????????????=???ڛ??????????????????????ѝ????????????????????????7???readMPS: Opened file  OK
COLUMNS section contains row %-8s not in ROWS    section, line: %s
COLUMNS section entries contain %8ld 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 %8ld with row not in ROWS    section: ignored
RANGES  section contains row %-8s not in ROWS    section, line: %s
RANGES  section entries contain %8ld with row not in ROWS    section: ignored
BOUNDS  section contains col %-8s not in COLUMNS section, line: %s
Quadratic section: under development. Assumes QUADOBJ section
BOUNDS  section entries contain %8ld with col not in COLUMNS section: ignored
readMPS: Read ENDATA  OK
readMPS: Model has %ld rows and %ld columns with %ld integer
Maximum name length is %ld so using free format rather than fixed format
writeMPS: Trying to open file %s
Cannot open file %s
writeMPS: Opened file  OK
Cannot write fixed MPS with names of length (up to) %ld
Model: RHS =     %s
       RANGES =  %s
       BOUNDS =  %s
NAME        %s
OBJSENSE
  MAX
ROWS
 N  %-8s
 E  %-8s
 G  %-8s
 L  %-8s
COLUMNS
    %-8s  %-8s  %.10g
    MARK%04ld  'MARKER'                 'INTORG'
    MARK%04ld  'MARKER'                 'INTEND'
RHS
    RHS_V     %-8s  %.10g
RANGES
    RANGE     %-8s  %.10g
BOUNDS
 FX BOUND     %-8s  %.10g
 FR BOUND     %-8s
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
 BV BOUND     %-8s
 LI BOUND     %-8s  %.10g
 UI BOUND     %-8s  %.10g
Lower bound for semi-variable "%s" is %g but writing %g
Upper bound for semi-variable "%s" is %g but writing %g
 LO BOUND     %-8s  %.10g
 SI BOUND     %-8s  %.10g
 SC BOUND     %-8s  %.10g
 MI BOUND     %-8s
 UP BOUND     %-8s  %.10g
QUADOBJ
ENDATA
Model has %ld zero columns with no costs: %ld have finite upper bounds or nonzero lower bounds and are %swritten in MPS file
?????????????	

"' Error on line %ld of options file.
Cannot read value "%s" for option "%s"
Options file not found
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?????,??L??L??c????????????????????????)?????
??*??V?????????????/??[?????IPX model has %ld rows, %ld columns and %ld nonzeros
solve_status should be solved or stopped here but value issolve_status should be solved here but value isipm status should be not run, optimal or imprecise but value iscrossover status should be not run, optimal or imprecise but value isIPX crossover getting basic solution: flag = %d
Failed to convert IPX basic solution to Highs basic solution
Ipx: Solved
Ipx: Stopped
Ipx: 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: Out of memory
Ipx: Internal error %ld
Ipx: unrecognised solve status = %ld
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 reached iteration limit
Ipx: %s no progress
Ipx: %s failed
Ipx: %s debug
Ipx: %s unrecognised status
Ipx: %s
Ipx: %s %d
solved  status_ipm should not be IPX_STATUS_time_limitsolved  status_ipm should not be IPX_STATUS_iter_limitsolved  status_ipm should not be IPX_STATUS_no_progresssolved  status_ipm should not be IPX_STATUS_failedsolved  status_ipm should not be IPX_STATUS_debugsolved  status_crossover should not be IPX_STATUS_primal_infeassolved  status_crossover should not be IPX_STATUS_dual_infeassolved  status_crossover should not be IPX_STATUS_time_limitsolved  status_crossover should not be IPX_STATUS_iter_limitsolved  status_crossover should not be IPX_STATUS_no_progresssolved  status_crossover should not be IPX_STATUS_failedsolved  status_crossover should not be IPX_STATUS_debugstopped status_ipm should not be IPX_STATUS_optimalstopped status_ipm should not be IPX_STATUS_imprecisestopped status_ipm should not be IPX_STATUS_primal_infeasstopped status_ipm should not be IPX_STATUS_dual_infeasstopped status_ipm should not be IPX_STATUS_failedstopped status_ipm should not be IPX_STATUS_debugstopped status_crossover should not be IPX_STATUS_optimalstopped status_crossover should not be IPX_STATUS_imprecisestopped status_crossover should not be IPX_STATUS_primal_infeasstopped status_crossover should not be IPX_STATUS_dual_infeasstopped status_crossover should not be IPX_STATUS_iter_limitstopped status_crossover should not be IPX_STATUS_no_progressstopped status_crossover should not be IPX_STATUS_failedstopped status_crossover should not be IPX_STATUS_debugNo progress: primal objective value       = %11.4g
No progress: max absolute primal residual = %11.4g
No progress: max absolute   dual residual = %11.4g

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
    Number of dense columns detected = %d

    Dependent rows    = %d
    Dependent cols    = %d
    Inconsistent rows = %d
    Inconsistent cols = %d
    Primal dropped    = %d
    Dual   dropped    = %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

    |x| = %11.4g
    |y| = %11.4g
    |z| = %11.4g

    Objective value       = %11.4g
    Primal infeasibility = %11.4g
    Dual infeasibility   = %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 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

    Time FTRAN       = %8.2f
    Time BTRAN       = %8.2f
    Time LU INVERT   = %8.2f
    Time LU UPDATE   = %8.2f
    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

N3ipx11MultistreamEN3ipx11Multistream11multibufferE????????
????????????????????????

9

assessLp??&?.>:?0?yE>?dy???=-C??6??-???q=??&?.>?d























????????????????scaleColscaleRowFeasibleLog file????e???Y@?????????-???q=333333???+????=?A4&?kC@??x?D??&?.>?????|?=H?????z>:?0?yE>????MbP??d~?QJ?????ư>????????-C??6?@?ļ?B$@-C??6J?{?G?z????????????????a???a???c??????H???y????????????????1.8.1deprecatedEmpty file name so not reading options
writeOptionsopenWriteFileWriting the option values to %s
writeOptionsToFilewriteInfoWriting the info values to %s
writeInfoToFileModel has either no columns or no rows, so ignoring user constraint matrix data and initialising empty matrix
passModelassessLpassessHessianHessian has dimension %ld but no nonzeros, so is ignored
clearSolveroptionChangeActionModel 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
Index %d for column name %s is outside the range [0, num_col = %d)
Cannot define empty column names
Index %d for row name %s is outside the range [0, num_row = %d)
Cannot define empty model names
Model file %s not supported
readModelFromFilereadBasisreadBasis: invalid basis
Model has repeated column names
Model has repeated row names
Writing the model to %s
writeModelToFilewritebasisWriting the basis to %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
Presolve status: %s
WARNING: max_threads() returns %ld
Running with %ld thread(s)
Highs::run() called with called_return_from_run false
Cannot solve a model with a |value| exceeding %g in constraint matrix
Solving model: %s
Cannot solve MIQP problems with HiGHS
Cannot solve non-convex QP problems with HiGHS
callSolveQpcallSolveMipSolving LP relaxation since%s%s%s
 solve_relaxation is true and solver = ICrash error: unknown strategy.
Crossover following iCrash has return status of %s, and problem status is %s
basisForSolutionSolving LP without presolve, or with basis, or unconstrainedcallSolveLpOriginal LPNot presolved: solving the LPUnreduced LPProblem not reduced by presolve: solving the LPcleanBoundsPresolved LPSolving the presolved LPPresolve to emptyProblem status detected on presolve: %s
Solving the original LP with primal simplex to determine infeasible or unboundedPresolve reached timeout
Presolve returned status %d
Postsolve finished
: after postsolveAfter returning from postsolvePostsolve LPSolving the original LP from the solution after postsolveRequired %d simplex iterations after postsolve
Postsolve return status is %d
Postsolve  : 
Postsolve  : %ld
Time       : %8.2f
Time Pre   : %8.2f
Time PreLP : %8.2f
Time PostLP: %8.2f
For LP %16s: Presolve %8.2f (%3ld%%): Solve presolved LP %8.2f (%3ld%%): Postsolve %8.2f (%3ld%%): Solve original LP %8.2f (%3ld%%)Strange: Solve time = %g; Sum times = %g: relative difference = %g
highsStatusFromHighsModelStatusCannot 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
getIisInterfacegetBasicVariables: basic_variables is NULL
getBasisInverseRow: row_vector is NULL
Row index %ld out of range [0, %ld] in getBasisInverseRow
getBasisInverseRowgetBasisInverseCol: col_vector is NULL
Column index %ld out of range [0, %ld] in getBasisInverseCol
getBasisInverseColgetBasisSolve: Xrhs is NULL
getBasisSolve: solution_vector is NULL
getBasisSolvegetBasisTransposeSolve: Xrhs is NULL
getBasisTransposeSolve: solution_vector is NULL
getBasisTransposeSolvegetReducedRow: row_vector is NULL
Row index %ld out of range [0, %ld] in getReducedRow
getReducedRowgetReducedColumn: col_vector is NULL
Column index %ld out of range [0, %ld] in getReducedColumn
getReducedColumnsetSolution: 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)
calculateRowValuesQuadcalculateColDualssetSolution: 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
setSolutionCannot 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)
setBasis: invalid basis
Highs::setBasis Was alien = %-5s; Id = %9d; UpdateCount = %4d; Origin (%s)
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
addColsaddRowsInterval [%d, %d] supplied to Highs::changeColsIntegrality is out of range [0, %d)
changeIntegralitychangeColsIntegralityInterval [%d, %d] supplied to Highs::changeColsCost is out of range [0, %d)
changeCostscolumn costschangeColsCostInterval [%d, %d] supplied to Highs::changeColsBounds is out of range [0, %d)
changeColBoundscolumn lower boundscolumn upper boundschangeColsBoundsInterval [%d, %d] supplied to Highs::changeRowsBounds is out of range [0, %d)
changeRowBoundsrow lower boundsrow upper boundschangeRowsBoundsRow %ld supplied to Highs::changeCoeff is not in the range [0, %ld]
Col %ld supplied to Highs::changeCoeff is not in the range [0, %ld]
|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)
getColsIndex %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)
Highs::getColByName: name %s is not found
Highs::getColByName: name %s is duplicated
Index %d for column integrality is outside the range [0, num_col = %d)
Model integrality does not exist for index %d
Interval [%d, %d] supplied to Highs::getRows is out of range [0, %d)
getRowsIndex %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)
Highs::getRowByName: name %s is not found
Highs::getRowByName: name %s is duplicated
Row %ld supplied to Highs::getCoeff is not in the range [0, %ld]
Col %ld supplied to Highs::getCoeff is not in the range [0, %ld]
Interval [%d, %d] supplied to Highs::deleteCols is out of range [0, %d)
deleteColsInterval [%d, %d] supplied to Highs::deleteRows is out of range [0, %d)
deleteRowsCannot run postsolve with presolve status: %s
writeSolutionWriting the solution to %s

# Basis
Cannot determine ranging information for MIP or QP
getRangingInterface
# Ranging
Not presolvedUnbounded or infeasibleReducedTimeoutMemory allocation errorUnrecognised presolve statusNoneMethod %s is deprecated: no alternative method
Method %s is deprecated: alternative method is %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
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
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
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
Dual solution provided to postsolve is incorrect size
Pure postsolve yields primal %ssolution, but no basis: model status is %s
and dual Cannot open writable file "%s" in %s
mdHighs::returnFromRun: return_status = %d != %d = run_return_status For model_status_ = %s
returnFromHighs: HighsModelStatus::kUnboundedOrInfeasible is not permitted
Return from run()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
returnFromHighsLP Dimension error in returnFromHighs()
Highs::returnFromHighs(): LP and HFactor have inconsistent numbers of rows
Model name          : %s
Model status        : %s
Simplex   iterations: %ld
IPM       iterations: %ld
Crossover iterations: %ld
PDLP      iterations: %ld
QP ASM    iterations: %ld
Objective value     : %17.10e
Relative P-D gap    : %17.10e
HiGHS run time      : %13.2f
Cannot apply crossover to solve MIP
Cannot apply crossover to solve QP
Run HiGHSN/APresolvePostsolvePresolve 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"Time limit (seconds)Compute cost, bound, RHS and basic solution ranging: "off" or "on"infinite_costLimit on |cost coefficient|: values greater than or equal to this will be treated as infiniteinfinite_boundLimit on |constraint bound|: values greater than or equal to this will be treated as infinitesmall_matrix_valueLower limit on |matrix entries|: values less than or equal to this will be treated as zerolarge_matrix_valueUpper limit on |matrix entries|: values greater than or equal to this will be treated as infiniteprimal_feasibility_tolerancePrimal feasibility tolerancedual_feasibility_toleranceDual feasibility toleranceipm_optimality_toleranceIPM optimality toleranceobjective_boundObjective bound for termination of the dual simplex solverobjective_targetObjective target for termination of the MIP solverRandom seed used in HiGHSthreadsNumber of threads used by HiGHS (0: automatic)user_bound_scaleExponent of power-of-two bound scaling for modeluser_cost_scaleExponent of power-of-two cost scaling for modelhighs_debug_levelDebugging level in HiGHShighs_analysis_levelAnalysis level in HiGHSsimplex_strategyStrategy for simplex solver 0 => Choose; 1 => Dual (serial); 2 => Dual (PAMI); 3 => Dual (SIP); 4 => Primalsimplex_scale_strategySimplex scaling strategy: off / choose / equilibration / forced equilibration / max value 0 / max value 1 (0/1/2/3/4/5)simplex_crash_strategyStrategy 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)simplex_iteration_limitIteration limit for simplex solver when solving LPs, but not subproblems in the MIP solversimplex_update_limitLimit on the number of simplex UPDATE operationssimplex_min_concurrencyMinimum level of concurrency in parallel simplexsimplex_max_concurrencyMaximum level of concurrency in parallel simplexEnables or disables solver outputlog_to_consoleEnables or disables console loggingSolution filewrite_solution_to_fileWrite the primal and dual solution to a filewrite_solution_styleStyle 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 rawglpsol_cost_row_locationLocation 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 => LasticrashRun iCrashicrash_dualizeDualize strategy for iCrashicrash_strategyStrategy for iCrashICAicrash_starting_weightiCrash starting weighticrash_iterationsiCrash iterationsicrash_approx_iteriCrash approximate minimization iterationsicrash_exactExact subproblem solution for iCrashicrash_breakpointsWrite model filewrite_model_to_fileWrite the model to a fileWrite presolved model filewrite_presolved_model_to_fileWrite the presolved model to a filemip_detect_symmetryWhether MIP symmetry should be detectedmip_allow_restartWhether MIP restart is permittedmip_max_nodesMIP solver max number of nodesmip_max_stall_nodesMIP solver max number of nodes where estimate is above cutoff boundmip_max_start_nodesMIP solver max number of nodes when completing a partial MIP startmip_improving_solution_saveWhether improving MIP solutions should be savedmip_improving_solution_report_sparseWhether improving MIP solutions should be reported in sparse formatmip_improving_solution_fileFile for reporting improving MIP solutions: not reported for an empty string \"\"mip_max_leavesMIP solver max number of leaf nodesmip_max_improving_solsLimit on the number of improving solutions found to stop the MIP solver prematurelymip_lp_age_limitMaximal age of dynamic LP rows before they are removed from the LP relaxation in the MIP solvermip_pool_age_limitMaximal age of rows in the MIP solver cutpool before they are deletedmip_pool_soft_limitSoft limit on the number of rows in the MIP solver cutpool for dynamic age adjustmentmip_pscost_minreliableMinimal 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 processingmip_report_levelMIP solver reporting levelmip_feasibility_toleranceMIP feasibility tolerancemip_heuristic_effortEffort spent for MIP heuristicsmip_rel_gapTolerance on relative gap, |ub-lb|/|ub|, to determine whether optimality has been reached for a MIP instancemip_abs_gapTolerance on absolute gap of MIP, |ub-lb|, to determine whether optimality has been reached for a MIP instancemip_min_logging_intervalMIP minimum logging intervalipm_iteration_limitIteration limit for IPM solverpdlp_native_terminationUse native termination for PDLP solver: Default = falsepdlp_scalingScaling option for PDLP solver: Default = truepdlp_iteration_limitIteration limit for PDLP solverpdlp_e_restart_methodRestart mode for PDLP solver: 0 => none; 1 => GPU (default); 2 => CPU pdlp_d_gap_tolDuality gap tolerance for PDLP solver: Default = 1e-4qp_iteration_limitIteration limit for QP solverqp_nullspace_limitNullspace limit for QP solveriis_strategyStrategy for IIS calculation: Prioritise rows (default) / Prioritise columns (0/1)log_dev_levelOutput development messages: 0 => none; 1 => info; 2 => verboselog_githashLog the githashsolve_relaxationSolve the relaxation of discrete model componentsallow_unbounded_or_infeasibleAllow ModelStatus::kUnboundedOrInfeasibleuse_implied_bounds_from_presolveUse relaxed implied bounds from presolvelp_presolve_requires_basis_postsolvePrevents LP presolve steps for which postsolve cannot maintain a basismps_parser_type_freeUse the free format MPS file readerkeep_n_rowsFor multiple N-rows in MPS files: delete rows / delete entries / keep rows (-1/0/1)Scaling factor for costsallowed_matrix_scale_factorLargest power-of-two factor permitted when scaling the constraint matrixallowed_cost_scale_factorLargest power-of-two factor permitted when scaling the costsipx_dualize_strategyStrategy for dualizing before IPXsimplex_dualize_strategyStrategy for dualizing before simplexsimplex_permute_strategyStrategy 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_price_strategyStrategy for PRICE in simplexsimplex_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 tolerancepresolve_pivot_thresholdMatrix 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 positivepresolve_rule_offBit mask of presolve rules that are not allowedpresolve_rule_loggingLog effectiveness of presolve rules for LPpresolve_remove_slacksRemove slacks after presolvepresolve_substitution_maxfillinMaximal fillin allowed for substitutions in presolvefactor_pivot_thresholdMatrix factorization pivot thresholdfactor_pivot_toleranceMatrix factorization pivot tolerancestart_crossover_toleranceTolerance to be satisfied before IPM crossover will startuse_original_HFactor_logicUse original HFactor logic for sparse vs hyper-sparse TRANsless_infeasible_DSE_checkCheck whether LP is candidate for LiDSEless_infeasible_DSE_choose_rowUse LiDSE if LP has right propertiesrun_centringPerform centring steps or notmax_centring_stepsMaximum number of steps to use (default = 5) when computing the analytic centrecentring_ratio_toleranceCentring stops when the ratio max(x_j*s_j) / min(x_j*s_j) is below this tolerance (default = 100)primal_residual_tolerancePrimal residual tolerancedual_residual_toleranceDual residual toleranceIteration count for simplex solverIteration count for IPM solvercrossover_iteration_countIteration count for crossoverIteration count for PDLP solverqp_iteration_countIteration count for QP solverprimal_solution_statusModel primal solution status: 0 => No solution; 1 => Infeasible point; 2 => Feasible pointdual_solution_statusModel dual solution status: 0 => No solution; 1 => Infeasible point; 2 => Feasible pointbasis_validityModel basis validity: 0 => Invalid; 1 => ValidObjective function valueMIP solver node countMIP solver dual boundMIP solver gap (%)max_integrality_violationMax integrality violationnum_primal_infeasibilitiesNumber of primal infeasibilitiesmax_primal_infeasibilityMaximum primal infeasibilitysum_primal_infeasibilitiesSum of primal infeasibilitiesnum_dual_infeasibilitiesNumber of dual infeasibilitiesmax_dual_infeasibilityMaximum dual infeasibilitysum_dual_infeasibilitiesSum of dual infeasibilitiesmax_complementarity_violationMax complementarity violationsum_complementarity_violationsSum of complementarity violationsprimal_dual_integralPrimal-dual integralClock %d - %s - still running
HighsTimer: starting clock %d: %s
Clock %d - %s - not running
HighsTimer: stopping clock %d: %s
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)
HighsTimer: querying clock %d: %s - with start record %g
Before  reduction %2d (type %2d): col_value[%2d] = %g
Reduction case %d not handled
After last reduction: col_value[%2d] = %g
QP solver model status: %s
%11d  %15.8g           %6d %9.2fs
QP solver has exceeded nullspace limit of %d
?18OptionRecordString12OptionRecord18OptionRecordDouble15OptionRecordInt16OptionRecordBool21PresolveComponentInfo18HighsComponentInfoSt19_Sp_counted_deleterIPN15HighsSplitDeque10WorkerBunkEN5highs13cache_aligned7DeleterIS1_EESaIvELN9__gnu_cxx12_Lock_policyE2EEN5highs13cache_aligned7DeleterIN15HighsSplitDeque10WorkerBunkEEENSt6thread11_State_implINS_8_InvokerISt5tupleIJPFviP17HighsTaskExecutorEiS4_EEEEEEN9HighsTask9InterruptEZN5Highs11setCallbackEPFviPKcPK20HighsCallbackDataOutP19HighsCallbackDataInPvES7_E3$_1ZN5Highs11callSolveQpEvE3$_2ZN5Highs11callSolveQpEvE3$_3ZN5Highs11callSolveQpEvE3$_413InfoRecordInt10InfoRecord16InfoRecordDouble15InfoRecordInt64











???

????????????y??????????????????????
???=???P???c???v??????????? ???7???N???e???|???Dropped   Null   Free  Lower  Boxed*****
IIS %s
===
Column: %9d 
Status: %9s 
Lower:  %9.2g 
Upper:  %2d   %9s %9.2g %9.2g
%s %d has status %s
Col %d has status Dropped: Empty
Row:    Status     Lower     UpperHighsIntgetInfoIndex: Info "%s" is unknown
checkInfo: Info %ld ("%s") has the same name as info %ld "%s"
checkInfo: Info %ld ("%s") has the same value pointer as info %ld ("%s")
checkInfo: Info are OK
 or int64_tgetInfoValue: Info "%s" requires value of type %s, not %s
getInfoValue: Info "%s" requires value of type %s, not double
## %s
- %s
- Type: long integer


# %s
# [type: int64_t]
%s = %ld
## %s
- %s
- Type: integer


# %s
# [type: HighsInt]
%s = %ld
## %s
- %s
- Type: double


# %s
# [type: double]
%s = %g
Have primal solution but num_primal_infeasibilities = %ld
Have primal solution and no infeasibilities but primal status = %ld
Have primal solution and infeasibilities but primal status = %ld
Have no primal solution but primal status = %ld
Have dual solution but num_dual_infeasibilities = %ld
Have dual solution and no infeasibilities but dual status = %ld
Have dual solution and infeasibilities but dual status = %ld
Have no dual solution but dual status = %ld
debugNoInfo: Index %ld has %g != %g 
setLogCallbacksetCallbackreadHighsOptionsreadOptionspassHighsOptionspassOptionsgetHighsOptionValuegetOptionValuewriteHighsOptionsgetHighsOptionsgetOptionsgetHighsInfogetInfogetHighsInfoValuegetInfoValuewriteHighsInfogetModelStatus(const bool scaled_model)getModelStatus()????????????????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) 
LP has %d rows and solution yields %d possible basic variables (%d / %d; %d / %d)
assessCostsassessBoundsUser bound scaling yields infinite bound
User cost scaling yields infinite cost
assessMatrixcolumn integralityapplyScalingToLpColapplyScalingToLpRowgetBasicVariables called without a HiGHS basis
formSimplexLpBasisAndFactorsetHotStart: 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
Copying known dual ray
Solving linear system to compute dual ray
No LP invertible representation to compute dual ray
No dual ray found
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
primal_ray_lp.mpsCopying known primal ray
Solving linear system to compute primal ray
No primal ray found
 (min / average / max) iteration count (%6d / %6.2g / % 6d) and time (%6.2f / %6.2f / % 6.2f) 
row__erowcol_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
Non-empty Constraint matrix has illegal format = %ld
Non-empty Hessian matrix has illegal format = %ld
%s solver claims optimality, but with num/max/sum primal(%d/%g/%g)and dual(%d/%g/%g)No invertible representation for %s
No LP invertible representation for %s
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
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
Constraint
%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
(Mu= <=  | Slack_Slack_Ru_t_IfsPlus_IfsMinus_Model has %d small inconsistent bound(s): rectified
Model has %d significant inconsistent bound(s): infeasible
+ 0+ %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

?




col_ekk_row_ekk_Zb???tiZb???ti??N?~h??N?~h??j?@??????????N?~hZb???ti?9??B.??@assessLpDimensionsassessLp returns HighsStatus = %s
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
%ld |cost| values greater than or equal to %12g are treated as Infinity
%3s  %12ld has inconsistent bounds [%12g, %12g]
%3s  %12ld has lower bound of %12g >= %12g
%3s  %12ld has upper bound of %12g <= %12g
%3ss:%12ld lower bounds    less than or equal to %12g are treated as -Infinity
%3ss:%12ld upper bounds greater than or equal to %12g are treated as +Infinity
%ld semi-continuous/integer variable(s) have inconsistent bounds so are fixed at zero
%ld semi-continuous/integer variable(s) have zero lower bound so are continuous/integer
No semi-integer/integer variables in model with non-empty integrality
%ld semi-continuous/integer variable(s) have upper bounds exceeding %g that can be modified to %g > %g*lower)
%ld semi-continuous/integer variable(s) have negative lower bounds
%ld semi-continuous/integer variables have upper bounds exceeding %g that cannot be modified due to large lower bounds
%ld 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 %ld has inconsistent bounds [%g, %g] (residual = %g) after presolve
Row %ld has inconsistent bounds [%g, %g] (residual = %g) after presolve
Resolved %ld inconsistent bounds (maximum residual = %9.4g) after presolve
Scaling: Matrix has [min, max] values of [%g, %g] within [%g, %g] so no scaling performed
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: Yields [min, max, ratio] matrix values of [%0.4g, %0.4g, %0.4g]; Originally [%0.4g, %0.4g, %0.4g]: Improvement of %0.4g
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 %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: 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
LP has %ld columns, %ld rows, %ld nonzeros and %ld integer columns
Objective sense is minimize
Objective sense is maximize
Objective sense is ill-defined as %ld
  Column        Lower        Upper         Cost       Type        Count  Discrete  Name%8ld %12g %12g %12g         %2s %12ldBinaryInteger  %-8s  %-s     Row        Lower        Upper       Type        Count%8ld %12g %12g         %2s %12ld%-7s Index              Value
    %8ld Start   %10ld
          %8ld %12g
             Start   %10ld
ScaledUnscaled
%s model data: Analysis
Column scaling factorsRow    scaling factorsColumn costsColumn lower boundsColumn upper boundsRow lower boundsRow upper boundsMatrix sparsityConstraint matrixreadSolutionFile: Cannot read file of style %d
readSolutionFile: Cannot open readable file "%s"
=obj=readSolutionFile: Cannot read a MIPLIB solution file without column names in the model
readSolutionFile: Solution file is for %ld columns, not %ld
readSolutionFile: name %s is not found
readSolutionFile: name %s is duplicated
readSolutionFile: Solution file is for %ld rows, not %ld: row values ignored
%sAssessing feasibility of %s tolerance of %11.4g
MIP using primal feasibility and integralityLP using primal feasibilityCol %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
HiGHS v%d
None
Valid
# Columns %d
# Rows %d
readBasisFile: Cannot open readable file "%s"
v1readBasisFile: Basis file is for %ld columns, not %ld
readBasisFile: Basis file is for %ld rows, not %ld
readBasisFile: Cannot read basis file for HiGHS %s
calculateRowValuesQuad: Row %d becomes %g due to contribution of .col_value[%d] = %g
matrix startsmatrix indicesmatrix valuesPresolve : Reductions: rows %ld(-%ld); columns %ld(-%ld); elements %ld(%c%ld)
- Reduced to empty- Not reducedPresolve : Reductions: rows %ld(-%ld); columns %ld(-%ld); elements %ld(-%ld) %s
LP %s has all |entries|=1; max column count = %ld (limit %ld); average column count = %0.2g (limit %ld): LP is %s a candidate for LiDSE
is notsemi_binary_semi_lb_semi_ub_Removed %d rows of count 1
UBLBBX?vIh?%<=????!???;???]???w??????????????.???V???????????C???Y???g???????9???O???n???????Columns
R0000000Nonbasic/:???:???:???:???:??';??_;???;???;???;????L]???^???]??X^???p???r???q??Kr??????F???k???????ԡ??N??????????????????&???^???|??????????2???s??????????Analysing %ld %s bounds
   Free:  %7ld (%3ld%%)
   LB:    %7ld (%3ld%%)
   UB:    %7ld (%3ld%%)
   Boxed: %7ld (%3ld%%)
   Fixed: %7ld (%3ld%%)
grep_CharMl,%s,Free,LB,UB,Boxed,Fixed
grep_CharMl,%ld,%ld,%ld,%ld,%ld,%ld
ContinuousInteger   Semi-contsSemi-int  ImpliedInt    Index Status        Lower        Upper       Primal         Dual  Type      %9ld   %4s %12g %12g  %s  %-s
Objective %s
# Columns %ld
%-s %s
# Primal solution values
Feasible
Infeasible
# Rows %ld
%-s %s

# Dual solution values
Name |%s| contains a space character in position %ld
There are %ld names with spaces
There are empty or excessively-long %s names: using constructed names with prefix "%s"
Model status: %s
Objective value: %s
Model status
i %d %s%s%s
b %6d %-12s %s
%20sB  %13.6g %13s %13s 
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
%s%-12s%s
Problem:%s%-12s%d
Rows:%s%-12s%dColumns: (%d integer, %d binary)Non-zeros:???INTEGER OPTIMALINTEGER EMPTYINFEASIBLE (FINAL)INTEGER NON-OPTIMALUNDEFINEDStatus:%s%-12s%s%.10g (%s)
Objective:MINimumMAXimums %s %d %d mipbas   No.   Row name   %s   Activity     Lower bound   Upper boundSt    Marginal------ ------------ %s ------------- ------------- -------------i %d B NLNUNF%s %13.6g %13s %13s< eps   No. Column name  %s   Activity     Lower bound   Upper bound%s%d * e o f
Integer feasibility conditions:
Karush-Kuhn-Tucker optimality conditions:
KKT.PE: max.abs.err = %.2e on row %d
        max.rel.err = %.2e on row %d
%8s%s
High qualityMedium qualityLow qualityPRIMAL SOLUTION IS WRONGKKT.PB: max.abs.err = %.2e on %s %d
        max.rel.err = %.2e on %s %d
PRIMAL SOLUTION IS INFEASIBLEKKT.DE: max.abs.err = %.2e on column %d
        max.rel.err = %.2e on column %d
DUAL SOLUTION IS WRONGKKT.DB: max.abs.err = %.2e on %s %d
DUAL SOLUTION IS INFEASIBLEEnd of output
%ld %ld : Number of columns and rows for primal or dual solution or basis
 Primal solution
 Dual solution
%.15g Unrecognised solution statusAt lower/fixed boundBasicAt upper boundFree at zeroNot validNot SetLoad errorModel errorPresolve errorSolve errorPostsolve errorEmptyMemory limit reachedOptimalPrimal infeasible or unboundedUnboundedBound on objective reachedTarget for objective reachedTime limit reachedIteration limit reachedSolution limit reachedInterrupted by userUnknownUnrecognised HiGHS model statusEmpty rowSingleton rowRedundant rowEmpty columnFixed columnDominated colForcing rowForcing colFree col substitutionDoubleton equationDependent equationsDependent free columnsAggregatorParallel rows and columnsNoObj




???????է??'???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"
getOptionIndex: Option "%s" is unknown
checkOptions: Option %ld ("%s") has the same name as option %ld "%s"
checkOptions: Option %ld ("%s") has the same value pointer as option %ld ("%s")
checkOptions: Options are OK
checkOption: Option "%s" has inconsistent bounds [%ld, %ld]
checkOption: Option "%s" has default value %ld inconsistent with bounds [%ld, %ld]
checkOption: Option "%s" has value %ld inconsistent with bounds [%ld, %ld]
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]
checkOptionValue: Value %ld for option "%s" is below lower bound of %ld
checkOptionValue: Value %ld for option "%s" is above upper bound of %ld
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
+-0123456789eE%ld%nsetLocalOptionValue: Value = "%s" converts via sscanf as %ld by scanning %ld of %ld characters
+inf-inf+-.0123456789eEsetLocalOptionValue: Value = "%s" converts via atoi as %ld so is %g as double, and %g via atof
setLocalOptionValue: model filename cannot be set
getLocalOptionValue: 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"


# %s
# [type: bool, advanced: %s, range: {false, true}, default: %s]
%s = %s
## %s
- %s
- Type: integer
- Range: {%ld, %ld}
- Default: %ld

# [type: integer, advanced: %s, range: {%ld, %ld}, default: %ld]
## %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"]
string??Jz?5?#??7$??J$??e$??x$???(???(??)??)??.)???-???-??.??.??0.??Cannot get ranging without an optimal solution
Cannot get ranging without a valid Simplex instance
%6d   %4s  %-10.4g %-10.4g            %-10.4g            %-10.4g %-10.4g %-s
%-s %s %s %s %s
%6d   %4s  %-10.4g %-10.4g %-10.4g %-10.4g %-10.4g %-10.4g %-10.4g %-s

                                            Cost ranging
Column Status  DownObj    Down                  Value                 Up         UpObj      Name

# Cost ranging

                                            Bound ranging
Column Status  DownObj    Down       Lower      Value      Upper      Up         UpObj      Name

# Bound ranging
# Columns
                                            Bound ranging
   Row Status  DownObj    Down       Lower      Value      Upper      Up         UpObj      Name
# Rows
setBasis??ؗ?Ҝ<??(,*? EkU???U??xU???U??getKktFailures: %s %d status-value error: [%23.18g; %23.18g; %23.18g] has residual %g
Row   
%s
Absolute value = %11.4g; index = %9d
Relative value = %11.4g; index = %9d
ipxSolutionToHighsSolution: Norm of dual residual values is %10.4g
ipxSolutionToHighsSolution: Norm of delta     row values is %10.4g
Row %d
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

Error in IPX conversion: Unrecognised value ipx_col_status[%2ld] = %ld
Bounds [%11.4g, %11.4g]
Col %2ld ipx_col_status[%2ld] = %2ld; x[%2ld] = %11.4g; z[%2ld] = %11.4g
Unrecognised ipx_col_status value from IPX
Error in IPX conversion: Row %2ld (IPX row %2ld) has unrecognised value ipx_col_status[%2ld] = %ld
Error in IPX conversion: Row %2ld: cannot handle constraint_type[%2ld] = %ld
Row %2ld ipx_row_status[%2ld] = %2ld; s[%2ld] = %11.4g; y[%2ld] = %11.4g
Unrecognised ipx_row_status value from IPX
Of %ld boxed rows: %ld are basic and %ld have basic slacks
LP solver residuals: primal = %g; dual = %g yield num/max/sum primal (%d/%g/%g) and dual (%d/%g/%g) corrections
debugHighsLpSolution: %ld primal infeasibilities but model status is %s
debugHighsLpSolution: %ld dual infeasibilities but model status is %s

HiGHS solution: %s
Infeas:                Pr %ld(Max %.4g, Sum %.4g); Du %ld(Max %.4g, Sum %.4g); Status: %s
HiGHS basis inconsistency
HiGHS basis size error
HiGHS primal solution size error
HiGHS dual solution size error
PrDuErrors : %-9s Nonzero basic duals:       num = %7ld; max = %9.4g; sum = %9.4g
PrDuErrors : %-9s Off-bound nonbasic values: num = %7ld; max = %9.4g; sum = %9.4g
ExcessiveLargePrDuErrors : %-9s Primal residual:           num = %7ld; max = %9.4g; sum = %9.4g
PrDuErrors : %-9s Dual residual:             num = %7ld; max = %9.4g; sum = %9.4g
primal_statusdual_statusnum_primal_infeasibilitysum_primal_infeasibilitynum_dual_infeasibilitysum_dual_infeasibilityOKSolutionPar:  %-9s relative difference of %9.4g for %s
SolutionPar:  difference of %ld for %s
 _?BsolveUnconstrainedLpException %s in solveLpIpx
solveLpIpxException %s in solveLpCupdlp
solveLpCupdlpUnwelcome IPX status of %s: basis is %svalid; solution is %svalid; run_crossover is "%s"
not IPX solution is imprecise, so clean up with simplex
solveLpSimplexInconsistent 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"
Solving an unconstrained LP with %ld columns
Coefficient ranges:
  Matrix [%5.0e, %5.0e]
  Cost   [%5.0e, %5.0e]
  Bound  [%5.0e, %5.0e]
  RHS    [%5.0e, %5.0e]
%s has excessively large costs: consider scaling the costs by 1e%+1d or less, or setting option user_cost_scale to %d or less
User-scaled problemProblem%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
solveLpSimplex: Retained Ekk data not OK on entry
solveLpSimplex called for LP with non-positive (%ld) number of constraints
Objective = %11.4g
After unscaling with status %s, have num/max/sum primal (%ld/%g/%g) and dual (%ld/%g/%g) unscaled infeasibilities
solveLpSimplex: Calling primal simplex after scaled_model_status == HighsModelStatus::kObjectiveTarget: solve = %d; tick = %d; iter = %d
HApp: returnFromSolveLpSimplexError in basis matrix inverse after solving the LP





WarningUnrecognised HiGHS status%s return of HighsStatus::%s
'd???????????????[?` -[?` -6??8?6??8?Q?
@*}I?Q?
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&6@????????????????ffffff?@`@&???????ʲ?????L???ʲ??շ??%??????HighsLpRelaxation::removeCutsno dual ray stored
HighsLpRelaxation::recoverBasisHighsLpRelaxation::run LP is unbounded with no basis, but not returning Status::kError
HighsLpRelaxation::run IPM basisLP solved to unexpected status: %s
MipTimer: starting clock %d: %s
MipTimer: stopping clock %d: %s
,%11.2g,%11.2g,%d,%d,%11.2g,%11.2g,%d,%11.2g,%11.2g
LP solver analysis: %d LP with %d simplex (%11.2g CPU), %d IPM (%11.2g CPU) and %d solved without basis; average simplex solve time (basis/no_basis) = (%11.2g, %11.2g)
MIP presolveMIP solveMIP postsolveInitialiseRun presolveRun setupTrivial heuristicsEvaluate root nodePerform aging 0SearchProbing - presolvePerform aging 1DiveOpen nodes to queueDomain propagatePrune infeasible nodesUpdate local domainNode searchEvaluate nodePrimal heuristicsThe diveBacktrack plungePerform aging 2Randomized rounding 0Start symmetry detectionA-centre - startEvaluate root LPSeparate LP cutsRandomized rounding 1Perform restartA-centre - finishCentral roundingRoot separation roundSolve sub-MIP: root reduced costRoot separation round - s.A-centre - finish - s.Central rounding - s.Evaluate root LP - s.Solve LP - simplex basisSolve LP - simplex no basisSolve LP: IPMSolve sub-MIP - RENSSolve sub-MIP - RINSProbing - implicationsMipCore_
%s-time  Operation                       :    Time     ( Total;  Ideal%s-time  %-32s: %11.4e (%5.1f%%; %5.1f%%; %5.1f%%):%9ld %11.4e
%s-time  SUM                             : %11.4e (%5.1f%%; %5.1f%%)
%s-time  TOTAL                           : %11.4e
MipLevl1MipSlvLpMipPrslvMipSerchMipDive_MipPrimalHeuristicsMipEvaluateRootNodeMipSeparationgrep_csvMIP,model,ideal,%s,Unaccountedgrep_csvMIP,%s,%11.4g,simplex time,IPM time,#simplex,#IPM,simplex/total time,IPM/total time,#No basis solve,simplex/#Basis solve,simplex/#No basis solve;  Local):    Calls  Time/Call
	
*+,
 !"#$%&'()4@MIP-Timing: %11.2g - completed presolve
Presolve: %s
MIP-Timing: %11.2g - starting  setup
MIP-Timing: %11.2g - completed setup
MIP-Timing: %11.2g - starting evaluate root node
MIP-Timing: %11.2g - completed evaluate root node
added %ld global bound changes

Restarting search from the root node
%s%%%s%% (tolerance: %s%%)%s%% (tolerance: inf)
Solving report
  Model             %s
  Status            %s
  Primal bound      %.12g
  Dual bound        %.12g
  Gap               %s
  P-D integral      %.12g
  Solution status   %s
                    %.12g (objective)
                    %.12g (bound viol.)
                    %.12g (int. viol.)
                    %.12g (row viol.)
  Timing            %.2f (total)
                    %.2f (presolve)
                    %.2f (solve)
                    %.2f (postsolve)
  Max sub-MIP depth %d
  Nodes             %llu
  Repair LPs        %llu (%llu feasible; %llu iterations)
  LP iterations     %llu (total)
                    %llu (strong br.)
                    %llu (separation)
                    %llu (heuristics)
MIP cut poolSt23_Sp_counted_ptr_inplaceIK10HighsBasisSaIvELN9__gnu_cxx12_Lock_policyE2EESt23_Sp_counted_ptr_inplaceI10HighsBasisSaIvELN9__gnu_cxx12_Lock_policyE2EESt19_Sp_make_shared_tagSolve LP

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??BranchingFeasibility pumpHeuristicSub-MIPEmpty MIPRandomized roundingTrivial zeroTrivial lowerTrivial upperTrivial pointHighsMipSolverData::solutionSourceToString: Unknown source = %d
MIP-Timing: %11.2g - starting  analytic centre synch
MIP-Timing: %11.2g - completed analytic centre synch
Fixing %ld columns (%ld integers) sitting at bound at analytic center

Symmetry detection completed in %.1fs
No symmetry present

Found %ld generator(s)

Found %ld generator(s) and %ld full orbitope(s) acting on %ld columns

Found %ld full orbitope(s) acting on %ld columns


MIP start solution is %s, objective value is %.12g
Feasible solutionSemicontinuous or semiinteger variables should have been reformulated away before HighsMipSolverData::runSetup() is called.Unexpected variable type
Solving MIP model with:
   %ld rows
   %ld cols (%ld binary, %ld integer, %ld implied int., %ld continuous)
   %ld nonzeros
Model after restart has %ld rows, %ld cols (%ld bin., %ld int., %ld impl., %ld cont.), and %ld nonzeros
 (col  (row Solution with objective %g has untransformed violations: bound = %.4g%s; integrality = %.4g%s; row = %.4g%s

Src:  => %s;
;
        Nodes      |    B&B Tree     |            Objective Bounds              |  Dynamic Constraints |       Work      
Src  Proc. InQueue |  Leaves   Expl. | BestBound       BestSol              Gap |   Cuts   InLp Confl. | LpIters     Time

%.2f%% %s %7s %7s   %7s %6.2f%%   %-15s %-15s %8s   %6ld %6ld %6ld   %7s %7.1fs
 %s %7s %7s   %7s %6.2f%%   %-15s %-15s %8.2f   %6ld %6ld %6ld   %7s %7.1fs
MIP loggingMIP-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
MIP check limitsUser interrupt
Reached objective target
Reached node limit
Reached leaf node limit
Reached improving solution limit
Reached time limit
Objective function is integral with scale %g
Improving solution%ldk%ldm%.10g%s%.11g%s%.12g%s%.13g%s%.9g%sdeque::_M_new_elements_at_frontdeque::_M_new_elements_at_backN9HighsTask8CallableIZN18HighsMipSolverData30startAnalyticCenterComputationERKN5highs8parallel9TaskGroupEE3$_0EEN9HighsTask8CallableIZN18HighsMipSolverData22startSymmetryDetectionERKN5highs8parallel9TaskGroupERSt10unique_ptrINS1_21SymmetryDetectionDataESt14default_deleteIS8_EEE3$_1EE7??????Ϥ??????g???2???????ʣ??????b???/???????Ǣ??????_???*???????¡??????Z???'??????????????W???"??????????~???I??????"???18HighsModkSeparator14HighsSeparatorQ?
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?h^ozM????? ?ٹ.J#e??.?sr??`??h??A?bw?0?=3/@?y??n??4????^?!??N??L1?1??j?Z-`.Rj?y?@?gS?D!>?/9?L!???!??y!???!??18HighsPathSeparator333333????????????????ư>0E0E0E0E0C0C-C??6?-C??6?{?G?z??{?G?z??x???Y???օ????????????????D???????HighsSearch::selectBranchingCandidate Error fracval = %g <= %g = %g + %g = localdom.col_lower_[col] + mipsolver.mipdata_->feastol: Residual %g
HighsSearch::selectBranchingCandidate Error fracval = %g >= %g = %g - %g = localdom.col_upper_[col] - mipsolver.mipdata_->feastol: Residual %g
Failed to solve node with all integer columns fixed. Declaring node infeasible.
?Implbound sepaIbdClique sepaClqTableau sepaTblPathAggr sepaAggMod-k sepaMod{?G?zd?{?G?z??21HighsTableauSeparatorJ??????????
???a???????A???Ǒ??Hessian of dimension %ld and %ld entries
Start; Index; Value of sizes %d; %d; %d
 Row| %4d%4d| %4gassessMatrixDimensionsHessian has nonzero value (%ld) for the start of column 0
normaliseHessianextractTriangularHessianHessian has dimension %d and %d nonzeros: inserting %d zeros onto the diagonal
Hessian has %ld diagonal entries in [%g, 0) so is not positive semidefinite for minimization
Hessian has %ld diagonal entries in (0, %g] so is not negative semidefinite for maximization
Ignored %ld entries of Hessian in opposite triangle
Normalised Hessian contains %ld |values| in [%g, %g] less than %g: ignored
Hessian Index              Value



??????????????????????
???@??x??7?????^?????Warning: constraint %d has no lower and upper bound
x[%2d] = %11.5g
y[%2d] = %11.5g
%s %2d [%11.5g, %11.5g, %11.5g] has (primal_residual, dual) values (%11.6g, %11.6g) so complementary_violation = %11.6g
PDLP max complementary violation = %g
     primal infeasibilities (%d, %11.6g, %11.6g)
     dual   infeasibilities (%d, %11.6g, %11.6g)
Solving with cuPDLP-C???@?@@??:?0?yE?Q?
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????????6?????d-???-???-??.??,.??U.??HPresolve::okSetInput reductionLimit = %d
Fixed %d dominated columns
%ld probing evaluations: %ld deleted rows, %ld deleted columns, %ld lifted nonzeros
HPresolve::okFromCSC eqiters.assign fails with %s
HPresolve::okFromCSR eqiters.assign fails with %s
Presolving model
Sparsify removed %.1f%% of nonzeros
Strengthened %ld coefficients

Presolve is switched off
After reduction %4d: col = %4d[%s] has bounds [%11.4g, %11.4g]
After reduction %4d: row = %4d[%s] has bounds [%11.4g, %11.4g]
HPresolve::removeDependentEquations Got %d equations, checking for dependent equations
HPresolve::removeDependentEquations Timed out
HPresolve::removeDependentEquations Removed %d rows and %d nonzeros, avoiding %d fictitious rowsHPresolve::debugsimplex iterations with postsolved basis: %ld
binary search ongoing: good=%zu, bad=%zu
binary search finished: good=%zu, bad=%zu
%ld rows, %ld cols, %ld nonzeros %s
Presolve performed %ld of %ld permitted reductions
HighsMemoryAllocation::okResize fails with %s
HighsMemoryAllocation::okReserve fails with %s
HighsMemoryAllocation::okAssign fails with %s
kkt check of postsolved solution and basis passedQ?
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   Rule %2d (bit %4d): %s
Cannot disallow rule %2d (bit %4d): %s
>> startPresolveRuleLog [%6d, %6d] for (%2d) %s
ERROR: Model %s: %d = num_deleted_rows0_ != *numDeletedRows = %d ||%d = num_deleted_cols0_ != *numDeletedCols = %d
num_deleted (%d, %d)
>>  stopPresolveRuleLog [%6d, %6d] for (%2d) %s
-------------------------------------------------------%-25s      Rows      Cols     Calls
Presolve rule removed%-25s %9d %9d %9d
%-25s %9d %9d
Total reductionsOriginal  modelPresolved model%d = sum_removed_row != numDeletedRows = %d
%d = sum_removed_col != numDeletedCols = %d
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???-???g???????????A???d??????????????????????????L???icaupdate_penaltyupdate_admmICrashError: 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.ICrashError: not implemented yet.
Iteration : objective  residual Iter , mu , c'x , res , quad_obj UpdatePenaltyUpdateAdmmICrashError: Unknown strategy.
ICrashOptions 
dualize: strategy: starting_weight: approximate_minimization_iterations: breakpoints: exact: true
Solution feasible within exit tolerance: %g
Residual growing too large: exit iCrash

ICrash finished successfully after: %.3g sec.
iter , col , update , old_value , new_value , ctx , r , quadratic_objective ICrash error: setting initial value for column %d
@?????????
?????ư>:?0?yE>:?0?yE>H?????z>Y@??Error loading ipx model
Calling IPX crossover with primal and dual values
Calling IPX crossover with only primal values
IPX crossover error: flag = %d
IPX crossover failed: status = %d
17PresolveComponent14HighsComponent??Inactive??? ??b???????*??b???????????	??:??r?????Active at lower boundActive at upper boundInactive in basisUnidentified QP basis statusNot setUnderterminedIteration limitTime ;limitLarge nullspaceUnidentified QP model status`a???b???b???b???b???b???b???b???b???b???b??oe??#e???e??e??Mk??	k?? l???j????????????????????؈?????????ˈ???????????????????¹??ع?????????basis: c%-3d v%-3d  - Basis::report: QP(%6d [inact %6d; act %6d], %6d) (inact / lo / up / basis) for var (%6d / %6d / %6d / %6d) and con (%6d / %6d / %6d / %6d)
Degeneracy? constraint %ld already in basis
?????A??9̗??h㈵??>@_????cAdegeneracy? not possible to find non-active constraint to leave basis. max: log(d[%ld]) = %lf
dimension mismatch19SteepestEdgePricing7Pricing12DevexPricing14DantzigPricing?????????????????????H???p???J???$??????????????????????????????????????ffffff??U???k@???5???6??6:???1???1???1???1???1???7???1??mM???M???M???M??N??!N???N??ZN??uN???N???N??Solving dual LP with %d columns [%d extra from %d boxed variable(s) %d boxed constraint(s)HEkk::undualize: Have %d basic variables, not %d
Solving the primal LP (%s) using the optimal basis of its dual required %d simplex iterations
Before HEkk::solve()Error in simplex NLA data
primalUsing EKK primal simplex solver
HEkkPrimal::solveUsing EKK parallel dual simplex solver - SIP with concurrency of %ld
Using EKK parallel dual simplex solver - PAMI with concurrency of %ld
Using EKK dual simplex solver - serial
HEkkDual::solveEKK %s simplex solver returns %ld primal and %ld dual infeasibilities: Status %s
HEkk::setBasis - logicalSupposed to be a Highs basis, but not valid
HEkk::initialiseSimplexLpBasisAndFactor (%s) Rank_deficiency %d: Id = %d; UpdateCount = %d
Supposed to be a full-rank basis, but incorrect
HEkk::handleRankDeficiency: %4d: Basic row of leaving variable (%4d is %s %4d) is %4d; Entering logical = %4d is variable %d)
HEkkDual::solve called for LP with non-positive (%ld) number of constraints
Using concurrency of %ld for parallel strategy rather than minimum number (%ld) specified in options
Using concurrency of %ld for parallel strategy rather than maximum number (%ld) specified in options
Number of threads available = %ld < %ld = Simplex concurrency to be used: Parallel performance may be less than anticipated
HEkk::getNonsingularInverse Rank_deficiency: solve %d (Iteration %d)
Rank deficiency of %ld after %ld simplex updates, so backtracking: max updates reduced from %ld to %ld
HEkk::computeFactor: lpFactorRowCompatibleHEkk::computeFactor - originalComputed %ld initial DSE weights in %gs
HEkk::updateDualSteepestEdgeWeights solve %d: dual_edge_weight_.size() = %d < %d
HEkk::updateDualDevexWeights solve %d: dual_edge_weight_.size() = %d < %d
HEkk::initialiseSimplexLpBasisAndFactor: LP(%6d, %6d) has factor_num_row = %d
Cost perturbation for %s
   Initially have %ld nonzero costs (%3ld%%) with min / average / max = %g / %g / %g
 but perturb as if max cost was 1
   Large so set max_abs_cost = sqrt(sqrt(max_abs_cost)) = %g
   Small boxedRate (%g) so set max_abs_cost = min(max_abs_cost, 1.0) = %g
   Perturbation column base = %g
   Perturbation row    base = %g
   Increasing Markowitz threshold to %g
HEkk::updateFactor basis change (%d out; %d in) is bad
Simplex interruptEKK %s simplex solver returns status %s
HEkk::computeBasisCondition: grep_kappa model,||B||_1,approx ||B^{-1}||_1,approx_kappa,||B^{-1}||_1,kappa = ,%s,%g,%g,%g,%g,%g
Perturbation cleanupNo reasonUpdate limit reachedSynthetic clockPossibly optimalPossibly phase 1 feasiblePossibly primal unboundedPossibly dual unboundedPossibly singular basisPrimal infeasible in primal simplexChoose column failureUnidentifiedZeroed row_ep.array[%6d] = %11.4g due to being small in contribution
Zeroed row_ep.array[%6d] = %11.4g due to infinite lower bound
Zeroed row_ep.array[%6d] = %11.4g due to infinite upper bound
Row e_pProofHEkk::proofOfPrimalInfeasibility row_ep.count = %d; proof_num_nz = %d; row_ep_scale = %g
Proof entry %6d (Column %6d) is basic with value %11.4g
HEkk::proofOfPrimalInfeasibility has %sfinite implied upper bound and gap = %g so proof is %s
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?h^ozM????? ?ٹ.J#e??.?sr??`??h??A?bw?0?=3/@?y??n??4????^?!??N??L1?1??j?Z-`.Rj?y?@?gS?D!>?/9??G?z???Dual steepest edge weight error is %g
Switch from DSE to Devex after %ld costly DSE iterations of %ld with densities C_Aq = %11.4g; R_Ep = %11.4g; R_Ap = %11.4g; DSE = %11.4g
Switch from DSE to Devex with log error measure of %g > %g = threshold
?1AHEkk::solve call %d
HEkk::solve basis %d
Col %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 %ld Variable %ld has nonbasic flag = %ld
HEkk::debugSimplex - %s: Iteration %ld Nonbasic variable %ld has primal error = %g for [%g, %g, %g]
HEkk::debugSimplex - %s: Iteration %ld Nonbasic variable %ld has move error [%ld <> %ld] for [%g, %g, %g]
HEkk::debugSimplex - %s: Iteration %ld Basic variable %ld has nonbasicFlag = %ld
HEkk::debugSimplex - %s: Iteration %ld Basic variable %ld has nonbasicMove = %ld
HEkk::debugSimplex - %s: Iteration %ld Basic variable %ld (in row %ld) has baseBound [%g, %g] and workBound [%g, %g]
HEkk::debugSimplex - %s: Iteration %ld Basic variable %ld (in row %ld) has primal phase 1 cost %g for [%g, %g, %g]
HEkk::debugSimplex - %s: Iteration %ld %-9s max   basic dual = %9.4g
HEkk::debugSimplex - %s: Iteration %ld Should have %ld not %ld primal infeasibilities
HEkk::debugSimplex - %s: Iteration %ld Should have %g not %g max primal infeasibility
HEkk::debugSimplex - %s: Iteration %ld Should have %g not %g sum primal infeasibilities
HEkk::debugSimplex - %s: Iteration %ld Should have %ld not %ld dual infeasibilities
HEkk::debugSimplex - %s: Iteration %ld Should have %g not %g max dual infeasibility
HEkk::debugSimplex - %s: Iteration %ld Should have %g not %g sum dual infeasibilities
HEkk::debugSimplex - %s: Iteration %ld Should be primal feasible, but num / max / sum primal infeasibility is %ld / %g / %g
HEkk::debugSimplex - %s: Iteration %ld Should be dual feasible, but num / max / sum dual infeasibility is %ld / %g / %g; Phase = %ld; status = %s
HEkk::debugSimplex - %s: Iteration %ld %-9s max primal residual = %9.4g
HEkk::debugSimplex - %s: Iteration %ld %-9s max   dual residual = %9.4g
       exceedsalmost exceedsclearly satisfies%s (%s) [Iter %ld; Update %ld] 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
SmallUpdatedDual:  %-9s absolute (%9.4g) or relative (%9.4g) error in updated dual value: Also sign error with (%9.4g, %9.4g)
Supposed to be a Simplex basis, but incorrect
HEkk::debugRetainedDataOkSupposed to be a simplex basis inverse, but too inaccurate
Supposed to be a Simplex basis, but not consistent
Supposed to be a Simplex basis, but nonbasicMove is incorrect
nonbasicFlag inconsistent
basicIndex size error
Entry basicIndex_[%ld] = %ld is not basic
Entry basicIndex_[%ld] = %ld is already basic
nonbasicFlag size error
nonbasicFlag has %ld, not %ld basic variables
nonbasicMove size error
There are %ld nonbasicMove errors: %ld free; %ld lower; %ld upper; %ld boxed; %ld fixed
Not OK to solve since status.has_basis = %ld
Not OK to solve since status.has_ar_matrix = %ld
Not OK to solve since status.has_nla = %ld
Not OK to solve since status.has_dual_steepest_edge_weights = %ld
Not OK to solve since status.has_invert = %ld
For col %ld, info.workLower_ should be %g but is %g
For col %ld, info.workUpper_ should be %g but is %g
For row %ld, info.workLower_ should be %g but is %g
For row %ld, info.workUpper_ should be %g but is %g
For variable %ld, info.workRange_ should be %g = %g - %g but is %g
For col %ld, info.workCost_ should be %g but is %g
For row %ld, info.workCost_ should be zero but is %g
Fixed variable %ld (lp.num_col_ = %ld) [%11g, %11g, %11g] so nonbasic move should be zero but is %ld
Fixed variable %ld (lp.num_col_ = %ld) so info.work value should be %g but is %g
Boxed variable %ld (lp.num_col_ = %ld) [%11g, %11g, %11g] range %g so nonbasic move should be up/down but is  %ld
Boxed variable %ld (lp.num_col_ = %ld) with kNonbasicMoveUp so work value should be %g but is %g
Boxed variable %ld (lp.num_col_ = %ld) with kNonbasicMoveDn so work value should be %g but is %g
Finite lower bound and infinite upper bound variable %ld (lp.num_col_ = %ld) [%11g, %11g, %11g] so nonbasic move should be up=%2ld but is  %ld
Finite lower bound and infinite upper bound variable %ld (lp.num_col_ = %ld) so work value should be %g but is %g
Finite upper bound and infinite lower bound variable %ld (lp.num_col_ = %ld) [%11g, %11g, %11g] so nonbasic move should be down but is  %ld
Finite upper bound and infinite lower bound variable %ld (lp.num_col_ = %ld) so work value should be %g but is %g
Free variable %ld (lp.num_col_ = %ld) [%11g, %11g, %11g] so nonbasic move should be zero but is  %ld
Free variable %ld (lp.num_col_ = %ld) so work value should be zero but is %g
NonbasicFreeColumnData: Number of free columns should be %ld, not %ld
NonbasicFreeColumnData: HSet error
NonbasicFreeColumnData: Set should have %ld entries, not %ld
NonbasicFreeColumnData: Variable %ld in nonbasic free set has nonbasicFlag = %ld and bounds [%g, %g]
Call %2d; Tick %8d: 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
Delta dualsIteration %6d: %s num / max / sum dual infeasibilities is %d / %g / %g
SimplexInnerL" !#$%)*+,-.0123:B&'(<?=@JGCD>A;MNKIOPQ"@?????ư>+i?)+`>E???????l???l???l???l???????????M??? kHighsSlicedLimit = %ld so truncating slice_num
dual-phase-1-start
Before iterationdual-phase-1-optimal
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
dual-phase-1-not-solved
dual-phase-1-unbounded
Cleaning up cost perturbation when unbounded in phase 1
End of solvePhase1HEkkDual::solvePhase1 solve_phase == %d (solve call %d; iter %d)
Moving to phase 2, but not allowing cost perturbation
dual-phase-2-start
dual-phase-2-found-free
dual-phase-2-optimal
problem-optimal
dual-phase-2-not-solved
problem-primal-infeasible
End of solvePhase2HEkkDual::rebuildDual simplex cleanup level has exceeded limit of %d
dual-cleanup-shift
HEkkDual::iterate Debug iteration %d
chooseRowchooseFinal would create %d dual infeasibilities
HEkkDual::updateVerifyHEkkDual::interpretDualEdgeWeightStrategy: unrecognised dual_edge_weight_strategy = %ld - using dual steepest edge with possible switch to Devex
Move %s: cost shift = %g; objective change = %g
Performed num / max / sum = %ld / %g / %g flip(s) for num / min / max / sum dual infeasibility of %ld / %g / %g / %g; objective change = %g
Performed num / max / sum = %ld / %g / %g shift(s) for num / max / sum dual infeasibility of %ld / %g / %g; objective change = %g
Optimal in phase 1 but not jumping to phase 2 since dual objective is %10.4g: Costs perturbed = %ld
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
Costs are already perturbed in exitPhase1ResetDuals
Re-perturbing costs when optimal in phase 1
Variable %ld is free: shift cost to zero dual of %g
Performed %ld 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 = %ld / %9.4g / %9.4g
LP-Solver dimension incompatibility (%ld, %ld) != (%ld, %ld)
LP-Factor dimension incompatibility (%ld, %ld) != (%ld, %ld)
HEkkDual::solvePhase2: %12g = Objective > ObjectiveUB = %12g
Have DualUB bailoutNo   DualUB bailout%s on iteration %ld: Density %11.4g; Frequency %ld: Residual(Perturbed = %g; Exact = %g)
When computing exact dual objective, the unperturbed costs yield num / max / sum dual infeasibilities = %d / %g / %g
Col %4ld: ExactDual = %11.4g; WorkDual = %11.4g; Residual = %11.4g
Row %4ld: ExactDual = %11.4g; WorkDual = %11.4g; Residual = %11.4g
||exact dual vector|| = %g; ||delta dual vector|| = %g: ratio = %g
N9HighsTask8CallableIZN8HEkkDual12iterateTasksEvE3$_0EEN9HighsTask8CallableIZN8HEkkDual12iterateTasksEvE3$_1EEN9HighsTask8CallableIZN8HEkkDual17chooseColumnSliceEP11HVectorBaseIdEE3$_2EEN9HighsTask8CallableIZN5highs8parallel8for_eachIRZN8HEkkDual17chooseColumnSliceEP11HVectorBaseIdEE3$_3EEvllOT_lEUlvE_EEN9HighsTask8CallableIZN5highs8parallel8for_eachIZN8HEkkDual17chooseColumnSliceEP11HVectorBaseIdEE3$_3EEvllOT_lEUlvE_EE????????????????


ffffff??ffffff???????????????????+????=?+????=PAMI skipping majorUpdate() due to multi_nFinish = %ld; rebuild_reason = %ld
ERROR: row_out = %ld in minorUpdatePrimal
HEkkDual::majorUpdate999Non-unit Edge weight error of %g: %s
N9HighsTask8CallableIZN5highs8parallel8for_eachIRZN8HEkkDual19majorChooseRowBtranEvE3$_0EEvllOT_lEUlvE_EEN9HighsTask8CallableIZN5highs8parallel8for_eachIZN8HEkkDual19majorChooseRowBtranEvE3$_0EEvllOT_lEUlvE_EEN9HighsTask8CallableIZN5highs8parallel8for_eachIRZN8HEkkDual15minorUpdateRowsEvE3$_1EEvllOT_lEUlvE_EEN9HighsTask8CallableIZN5highs8parallel8for_eachIZN8HEkkDual15minorUpdateRowsEvE3$_1EEvllOT_lEUlvE_EEN9HighsTask8CallableIZN5highs8parallel8for_eachIRZN8HEkkDual24majorUpdateFtranParallelEvE3$_2EEvllOT_lEUlvE_EEN9HighsTask8CallableIZN5highs8parallel8for_eachIZN8HEkkDual24majorUpdateFtranParallelEvE3$_2EEvllOT_lEUlvE_EEN9HighsTask8CallableIZN5highs8parallel8for_eachIRZN8HEkkDual21majorUpdateFtranFinalEvE3$_3EEvllOT_lEUlvE_EEN9HighsTask8CallableIZN5highs8parallel8for_eachIZN8HEkkDual21majorUpdateFtranFinalEvE3$_3EEvllOT_lEUlvE_EEN9HighsTask8CallableIZN5highs8parallel8for_eachIRZN8HEkkDual21majorUpdateFtranFinalEvE3$_4EEvllOT_lEUlvE_EEN9HighsTask8CallableIZN5highs8parallel8for_eachIZN8HEkkDual21majorUpdateFtranFinalEvE3$_4EEvllOT_lEUlvE_EEN9HighsTask8CallableIZN5highs8parallel8for_eachIRZN8HEkkDual17majorUpdatePrimalEvE3$_5EEvllOT_lEUlvE_EEN9HighsTask8CallableIZN5highs8parallel8for_eachIZN8HEkkDual17majorUpdatePrimalEvE3$_5EEvllOT_lEUlvE_EEN9HighsTask8CallableIZN5highs8parallel8for_eachIRZN8HEkkDual17majorUpdatePrimalEvE3$_6EEvllOT_lEUlvE_EEN9HighsTask8CallableIZN5highs8parallel8for_eachIZN8HEkkDual17majorUpdatePrimalEvE3$_6EEvllOT_lEUlvE_EE@@wJ????r?Z|
?(,*? ő(,*? ő(,*? ő(,*? E?(,*? EassessOptimality: %6d rows; workCount = %4d (%6.4f) num / max infeasibilities: work = %4d / %11.4g; simplex = %4d / %11.4g: %s
assessOptimality: call %d; tick %d; iter %d
}Ô%?I?T?Ngm??C%3d: iCol = %4d; dual = %11.4g; value = %11.4g; move = %2d; delta = %11.4g; new_dual = %11.4g; infeasibility = %11.4g: %d
%2d %4d %2d %11.4g %11.4g %11.4g %11.4g %11.4g %11.4g %11.4g %3d
Ix iCol Mv       Lower      Primal       Upper       Value        Dual       Ratio      NwDual Ifs@??????8???8???8???8???8???[???????H?????z>:?0?yE>??HEkkPrimal::solve called without INVERT
Primal feasible and num / max / sum dual infeasibilities of %ld / %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 = %ld / %g / %g primal infeasibilities
HEkkPrimal:: Dual simplex clean up yields  optimality, but with %ld (max %g) primal infeasibilities and ld (max %g) dual infeasibilities
HEkkPrimal:: LP has %ld free columns
primal-phase1-start
Moving to phase 2, but not allowing bound perturbation
primal-phase2-start
primal-return-phase1
primal-phase-2-optimal
HEkkPrimal::solvePhase2 row_out = %d solve %d
primal-phase-2-unbounded
problem-primal-unbounded
primal-cleanup-shift
HEkkPrimal::rebuild switching back to phase 1 from phase 2
Primal phase 1 choose row failed
HEkkPrimal::rebuild Solve %d; Iter %d: rebuild_reason = %d
Full CHUZC: Max         measure is %9.4g for column %4ld, and max non-candidate measure of  %9.4g
; too small; sign errorChosen entering variable %ld (Iter = %ld; Update = %ld) has computed (updated) dual of %10.4g (%10.4g) so don't use it%s%s
before updateafter  updateafter updateH-S  CHUZC: Max changed measure is %9.4g for column %4ld, and after HS CHUZC set it is now %9.4g for column %4ld, and no       has  measure >  %9.4g
, but some may have measure >= %9.4g
Changing column %ld: measure = %g 
Dual infeasibility %g for leaving column!
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 = %ld / %g / %g
Numerical check: Iter %4ld: alpha_col = %12g, (From %3s alpha_row = %12g), aDiff = %12g: measure = %12g
%5ld %5ld  %5ld  %5ld%5ld %5ld Bound flip   : Var %2ld (%1ld, %2ld) [%9.4g, %9.4g, %9.4g] Du = %9.4g; Wt = %9.4g; Ms = %9.4gHEkkPrimal::phase1update failed to remove nonbasic free column %ld
HEkkPrimal::shiftBound LB = %g; random_value = %g; value = %g; feasibility = %g; infeasibility = %g; shift = %g; bound = %g; new_infeasibility = %g; 
Value(%4ld) = %10.4g exceeds %s = %10.4g by %9.4g, so shift bound by %9.4g to %10.4g: infeasibility %10.4g with error %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
initialiseDevexFramework Iter ColIn Row_Out ColOut??@??????????????????density ?G?z????G?z?????7y?AC\???(\??i@FTRAN lowerFTRAN upper FTFTRAN upperBTRAN upperBTRAN upper FTBTRAN lowerBTRAN FullPRICE FullBTRAN BcFsCgPRICE BcFsCgBTRAN e_pPRICE a_pFTRANFTRAN BFRTFTRAN DSEBTRAN PSEPrimal step summaryDual step summarySimplex pivot summaryFactor pivot threshold summaryNumerical trouble summaryEdge weight error summaryFTRAN upper sparse summary - beforeFTRAN upper sparse summary - afterFTRAN upper hyper-sparse summary - beforeFTRAN upper hyper-sparse summary - afterCleanup dual change summaryCleanup primal change summaryCleanup primal step summaryCleanup dual step summary LowHigh
Analysis of %ld iterations (%ld to %ld)
DSE for %12ld (%3ld%%) iterations
Dvx for %12ld (%3ld%%) iterations
Dan for %12ld (%3ld%%) iterations

%-10s performed %ld times
%12ld hyper-sparse operations (%3ld%%)
%12ld hyper-sparse results    (%3ld%%)
%12g density of result (%ld / %ld nonzeros)

Invert    performed %ld times: average frequency = %ld
%12ld (%3ld%%) Invert operations due to update limit reached
%12ld (%3ld%%) Invert operations due to pseudo-clock
%12ld (%3ld%%) Invert operations due to possibly optimal
%12ld (%3ld%%) Invert operations due to possibly primal unbounded
%12ld (%3ld%%) Invert operations due to possibly dual unbounded
%12ld (%3ld%%) Invert operations due to possibly singular basis
%12ld (%3ld%%) Invert operations due to primal infeasible in primal simplex

%12ld Price operations:
%12ld Col Price      (%3ld%%)
%12ld Row Price      (%3ld%%)
%12ld Row PriceWSw   (%3ld%%)

%12ld (%3ld%%) costly DSE        iterations
%12ld Devex frameworks
%12ld average number of iterations

Cycling detected %ld times:%ld in primal simplex%ld in dual simplex%12ld quad CHUZC: average / max = %d / %ld
%12ld heap CHUZC: average / max = %d / %ld

grepQuadHeapChuzc,%s,%s, %ld, ,%d,%ld, %ld, ,%d,%ld

Dual_CHUZC: Number of improve CHUZC row calls =  %d
Dual_CHUZC: Number of pivots removed from pack = %d
%12ld   correct dual primal flips (max = %g) for min dual infeasibility = %g
%12ld   correct dual  cost shifts (max = %g) for max dual infeasibility = %g
%12ld   single        cost shifts (sum / max = %g / %g)

grepFlipShift,%s,%s,%ld,%g,%g,%ld,%g,%g,%ld,%g,%g

PAMI summary: for average of %0.1g threads 
%12ld Major iterations
%12ld Minor iterations
%12ld Total rows chosen: performed %3ld%% of possible minor iterations


Cost perturbation summary
        Iter (      FmIter:      ToIter)      Time      Iter/sec | PAMI | C_Aq R_Ep R_Ap  DSE  PSE | EdWt STRANGE: %ld = dlIter != AnIterTraceIterDl = %ld
DvxDanXXX%12ld (%12ld:%12ld) %9.4f  %12ld |  %3ld  |  %3s |     Of %10ld Sps/Hyper decisions made using regression:
   %10ld wrong sparseTRAN; %10ld wrong hyperTRAN: using original logic
   %10ld wrong sparseTRAN; %10ld wrong hyperTRAN: using new      logic
reportFactorTimer: HFactor clocks for thread %ld / %ld
reportFactorTimer: HFactor clocks for all %ld threads
grep_kernel,%s,%s,%ld,%ld,%ld,,%g,%g,Fill-in,%gDuPr%2sPh%1ld  Iteration        Objective     %10ld %20.10e Infeasibilities num(sum) Ph1: %ld(%g) Pr: %ld(%g); Du: %ld(%g) Concurr. %2ld|%2ld|%2ld   |  |    Multi   %3ld%% C_Aq R_Ep R_Ap S_Ed     EnC     LvC     LvR        ThDu        ThPr        DlPr       NumCk          Aa %7ld %7ld %7ld %11.4g %11.4g %11.4g %11.4g %11.4g                         %11.4g                         %7ld %7ld %7ld %11.4g %11.4g                                     %dsSimplex totalSTTIz DSE WtIWTDual Phase 1DP1Dual Phase 2DP2Primal Phase 1PP1Primal Phase 2PP2GROUP1GP1ITRDUAL REBUILDDRBPRIMAL REBUILDPRBCHUZRCZRCHUZCCZCFTRVERIFYVRFUDUUPRDEVEX_IZDVIPIVIZ_SIMPLEX_LP_DEFISDALLOC_SIMPLEX_ARRSASAIZ_SIMPLEX_CO_BDICBSCALESCLCRASHCSHBASIS_CONDITIONMATRIX_SETUPFSTSET_NONBASICMOVESNMDSE_IZDEIINVPERM_WTPWTCOMPUTE_DUALCPDCORRECT_DUALCRDCOMPUTE_PRIMALCPPCOLLECT_PR_IFSCOMPUTE_PR_IFSPIFCOMPUTE_DU_IFSDIFCOMPUTE_DU_OBJDOBCOMPUTE_PR_OBJPOBREPORT_REBUILDRPRCHUZR_DUALCHUZR1CR1CHUZR2CR2CHUZC_PRIMALCCPCHUZC_HYPER_IZCHICHUZC_HYPER_FEASCHFCHUZC_HYPER_DUALCHDCHUZC_HYPERCHCCHUZC0CC0PRICE_CHUZC1PC1CC1CHUZC2CC2CHUZC3CC3CHUZC4CC4CHUZC4a0C40CHUZC4a1C41CHUZC4bCHUZC4cCHUZC4dCHUZC4eCHUZC5CC5DEVEX_WTDWTBTRANREPBTRAN_FEASBT1BTRAN_FULLBTFPRICERAPPRICE_FEASPRICE_FULLPCFCOLFTRAN_DSEBTRAN_PSEFTRAN_MIX_PARFMPFTRAN_MIX_FINALFMFFTRAN_BFRTBFRUPDATE_ROWUPDATE_DUALUPDUPDATE_DUAL_FEASUD1UPDATE_PRIMALUPPDIZUPDATE_DVX_WEIGHTUDWUPDATE_DSE_WEIGHTUSWUPDATE_PIVOTSUPDATE_FACTORUPFUPDATE_MATRIXUPMUPDATE_ROW_EPINVERT SimpleIVSINVERT KernelIVKINVERT DeficientIVDINVERT FinishIVFFTRAN LowerFTLFTRAN Lower APFFLAFTRAN Lower DseFLDFTRAN Lower SpsFLSFTRAN Lower HyperFLHFTRAN UpperFTUFTRAN Upper FTFUFFTRAN Upper MPFFUMFTRAN Upper DseFUDFTRAN Upper Sps0FUSFTRAN Upper Sps1FTRAN Upper Sps2FTRAN Upper Hyper0FUHFTRAN Upper Hyper1FTRAN Upper Hyper2FTRAN Upper Hyper3FTRAN Upper Hyper4FTRAN Upper Hyper5FTRAN Upper PFFUPBTRBTRAN LowerBTLBTRAN Lower DseBLDBTRAN Lower SpsBLSBTRAN Lower HyperBLHBTRAN Lower APFBLABTRAN UpperBTUBTRAN Upper PFBUPBTRAN Upper DseBUDBTRAN Upper SpsBUSBTRAN Upper HyperBUHBTRAN Upper FTBUFBTRAN Upper MPSBUMReINVERTRIVFactorLevel0FactorLevel1FactorLevel2
 Iteration speed analysis| CostlyDse
Flip/shift summary
Quad/heap CHUZC summary
Devex summaryL" !#$%)*+,-.0123:B&'(<?=@JGCD>A;MNKIOPQ&

	

 !"#$%0@LP cost vector not scaled down: max cost is %g
LP cost vector scaled down by %g: max cost is %g

!!Appending columns to invalid basis!!
DualChuzC:     No change in loop 2 so return error
DualChuzC:     workCount = %ld; selectTheta=%g; remainTheta=%g
DualChuzC:     workDataNorm = %g; workDualNorm = %g
DualChuzC:     No group identified in quad search so return error
DualChuzC:     workCount = %ld; selectTheta=%g
DualChuzC:     No entries in heap so return error
0??.?++  pack: aq Bf   pack: ep Bf pack aq Bf pack aq Af 
                                 %11.4g [%4d %11.4g] [%4d (%4d)non-NULLCheckNlaData: (%s) scale_ is %s lp_ - factor_ matrix pointer errors
a_matrix_.start_ pointer error: %p vs %p
CheckNlaData: (%s) scale_ is %s check_lp.a_matrix_.start_ != factor_Astart for col %d (%d != %d)
CheckNlaData: (%s) scale_ is %s check_lp.a_matrix_.index_ != factor_Aindex for el %d (%d != %d)
CheckNlaData: (%s) scale_ is %s check_lp.a_matrix_.value_ != factor_Avalue for el %d (%g != %g)
a_matrix_.value pointer errora_matrix_.index pointer errorCheckNlaINVERT:   Forcing debug

CheckINVERT: %s
Basis: %1dinverserandom solutiontransposed CheckINVERT:   %-9s (%9.4g) norm for %s%s solve error
CheckINVERT:   %-9s (%9.4g) norm for %s%s residual error
Iteration total error %ld + %ld + %ld + %ld = %ld != %ld
DuPh1 DuPh2 PrPh1 PrPh2 PrSwap Simplex iterations: %sTotal %ld
??????????f???5???ʇ??.???I???I???I???????'???I???I???I???I???????I???I???I???I???Q???H?????z?Variable  infeasible: lb=, value=,  ub=Row  infeasible: Row value=  L=  U=Primal feasible.
KKT check error: Primal infeasible.
Dual feasibility fail: l=-inf, x[]=, u=inf, z[Dual feasibility fail: l[ = x[Dual feasibility fail: x[=u[], z[Dual feasibility fail for row : L= , Ax=, U=, y=Dual feasible.
KKT check error: Dual feasibility fail.
Comp. slackness fail: Comp. slackness fail: x[, u[Complementary Slackness.
KKT check error: Comp slackness fail.
Column  fails stationary of Lagrangian: dL/dx, rather than zero.Stationarity of Lagrangian.
KKT check error: Lagrangian is not stationary.
Col  is basic but has nonzero dual  is basic but has nonzero dual: BFS.BFS X Violated: BFS X Violated WRONG basis count: KKT warning: empty problemT@d@?h㈵??>.@Rank deficiency of %ld identified in basis matrix
Factorization identifies rank deficiency of %d
Defer singular pivot = %11.4g
buildRankDeficiency0:
Index   %2ld
Perm   
Iwork  
BaseI  buildRankDeficiency1:
row_with_no_pivot  
col_with_no_pivot  buildRankDeficiency2:STRANGE: 0 > i = %ld || %ld = i >= rank_deficiency = %ld
STRANGE: %ld = row_with_no_pivot[i] != ASMrow = %ld
Setting ASM(%2ld, %2ld) = %11.4g
ASM:                     %11ld
                        %11ld %11ld|
MarkSingC1
iwork  
MarkSingC2
NwBaseIRank deficiency %1ld: basis_matrix (%ld el); INVERT (%ld el); kernel (%ld dim; %ld el): nwork = %ld
InvertPivotAnalysis: %ld pivots: Min %g; Mean %g; Max %g
Adding %ld new rows to HFactor instance: increasing dimension from %ld to %ld 

Updating UR vectors %d - %d
ur_start[%d] = %d; gap = %d; iStart = %d
ur_count_size = %d; iStart%d
lr_startlr_indexlr_valueu_last_pur_startur_lastpur_spacepf_startpf_indexpf_value - fulll_pivot_lookupl_pivot_indexu_pivot_lookupu_pivot_indexu_pivot_valueu_startu_indexu_valueUR    Row %2d: %11d 
              pf_pivot_valuepf_pivot_index%-12s: siz %4d; cap %4d: 
                                  Col %4d: count = %2d; min_pivot = %10.4g; [%4d, %4d)
   Row %4d; Count = %2d; Merit = %11.4g; Value = %11.4g: %s
Q?
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_??ڒ`h?t:)?R??ڛ?c"0??G]??eK?+?ykMÀ?o??>)?^??????=$'?f?`??R^8?\?U?3?Ds??
?h^ozM????? ?ٹ.J#e??.?sr??`??h??A?bw?0?=3/@?y??n??4????^?!??N??L1?1??j?Z-`.Rj?y?@?gS?D!>?/9?.pbmRepresenting LP constraint matrix sparsity pattern %ldx%ld .pbm file, mapping entries in square of size %ld onto one pixel
%s matrix start vector begins with %ld rather than 0
%s matrix packed vector %ld has illegal start of %ld < %ld = previous start
%s matrix packed vector %ld has illegal partition end of %ld < %ld =  start
%s matrix packed vector %ld has illegal start of %ld > %ld = number of nonzeros
%s matrix packed vector %ld has illegal partition end of %ld > %ld = number of nonzeros
%s matrix packed vector %ld, entry %ld, is illegal index %ld
%s matrix packed vector %ld, entry %ld, is illegal index %12ld >= %ld = vector dimension
%s matrix packed vector %ld, entry %ld, is duplicate index %ld
%s matrix packed vector contains %ld |values| in [%g, %g] greater than %g
%s matrix packed partitioned vector contains %ld |values| in [%g, %g] less than or equal to %g: ignored
%s matrix packed vector contains %ld |values| in [%g, %g] less than or equal to %g: ignored
Matrix 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
?+?????????????-??Small values in matrixRow %d: value = %11.4g
HighsSparseMatrix::productTranspose:
HighsSparseMatrix::priceByColumn:
HighsSparseMatrix::priceByRow:
HighsSparseMatrix::priceByRowWithSwitch %ld
Index set entry set[%ld] = %ld is out of bounds [0, %ld]
Index set entry set[%ld] = %ld is not greater than previous entry %ld
User-supplied %s are NULL
%s of dimension %ld with %ld nonzeros (%3d%%) in [%11.4g, %11.4g]
%12ld values are -Inf
%12ld values are +Inf
%12ld values satisfy 10^(%3ld) <= v < Inf
%12ld values satisfy 10^(%3ld) <= v < 10^(%3ld)
%12ld values are zero
           Value distribution: More than %ld different values
            Value        Count
     %12g %12ld (%3ld%%)
grep_value_distrib,%s,%ld!%s of dimension %d with %d nonzeros (%3d%%) in [%d, %d]
     %12d %12d (%3d%%)
Column countsRow counts
%s

%12ld (%3ld%%) columns of count in [%3ld, %3ld]
%12ld (%3ld%%) columns of count in [%3ld, inf]
Max count is %ld / %ld

%12ld (%3ld%%)    rows of count in [%3ld, %3ld]
%12ld (%3ld%%)    rows of count in [%3ld, inf]
Max count is %ld / %ld

%s
Min value = %g
     Minimum %svalue is %10.4g  corresponding to  %10ld / %10ld
     Maximum %svalue is %10.4g%12ld %svalues (%3ld%%) are %10.4g
%12ld %svalues (%3ld%%) in (%10.4g, %10.4g) corresponding to (%10ld, %10ld)
%12ld %svalues (%3ld%%) are             %10.4g corresponding to %10ld
%12ld %svalues (%3ld%%) in [%10.4g, %10.4g) corresponding to [%10ld, %10ld)
  corresponding to  %10ld
%12ld %svalues (%3ld%%) in [%10.4g,        inf) corresponding to [%10ld,        inf)
%12ld %svalues
ERROR: %ld = sum_report_count != sum_count = %ld
%5ld %10.4g %10.4g %10.4g %10.4g
                                       %10.4g
%s scatter data
%ld,%10.4g,%10.4g,%ld
Linear regression coefficients,%10.4g,%10.4g
Log    regression coefficients,%10.4g,%10.4g

%s scatter data regression
%10ld regression error comparisons
%10ld regression awful  linear (>%10.4g)
%10ld regression awful  log    (>%10.4g)
%10ld regression bad    linear (>%10.4g)
%10ld regression bad    log    (>%10.4g)
%10ld regression fair   linear (>%10.4g)
%10ld regression fair   log    (>%10.4g)
%10ld regression better linear
%10ld regression better log
Failing highsAssert("%s")
assert(%s) failed ...
Satisfying highsPause("%s")
Enter any value to continue:You entered: "%s"
Undefined index collectionIndex mask is NULLIndex set is NULLIndex collection is both set and maskIndex collection is both interval and maskIndex collection is both interval and setLinear regression
Point     Value0     Value1 PredValue1      ErrorLog regression
Point     Value0     Value1 PredValue1      Error????????HSet: ERROR setup_ not called
HSet: ERROR max_entry_ = %ld < %ld
HSet: ERROR entry_.size() = %ld is less than count_ = %ld
HSet: ERROR pointer_[%ld] = %ld is not in [0, %ld]
HSet: ERROR entry_[%ld] is %ld, not %ld
HSet: ERROR pointer_ has %ld pointers, not %ld

Set(%ld, %ld):
Pointers: Pointers|          Entries |Entries:  Indices |%g-by-%g, nzmax: %g nnz: %g, 1-norm: %g
    col %g : locations %g to %g
      %g : %50.50e 
triplet: %g-by-%g, nzmax: %g nnz: %g
    %g %g : (null)  ...GPU not supported in CPU buildError: Unknown device type in AxError: Unknown device type in ATy
ףp=
??Last restart was iter %d: %scurrent
average
Currently only support infinity norm for Ruiz scalingalpha should be in [0, 2]- use PC scaling- use L2 scaling- use Ruiz scalingrunning scalingWarning: variable %d is free.Warning: row %d is a singleton row.nFreeCol  : %d
nFixedCol : %d
nRangedCol: %d
nLowerCol : %d
nUpperCol : %d
nFreeRow  : %d
nFixedRow : %d
nRangedRow: %d
nLowerRow : %d
nUpperRow : %d
  Primal obj = %+.4e, res = %+.4e
  Dual   obj = %+.4e, res = %+.4e
Termination check: %e|%e  %e|%e  %e|%e
%9s  %15s  %15s   %8s  %10s  %8s %7s
IterPrimal.ObjDual.ObjGapPrimal.InfDual.Inf%6.2fs%6ds%9d  %+15.8e  %+15.8e  %+8.2e  %10.2e  %8.2e %7s [L]
%9d  %+15.8e  %+15.8e  %+8.2e  %10.2e  %8.2e %7s [A]
%-27s Solving information:Infeasible or unbounded: primal infeasible.Infeasible or unbounded: dual infeasible.Infeasible or unbounded: both primal and dual infeasible.%27s %+15.8e
Primal objective:Dual objective:%27s %8.2e / %8.2e
Primal infeas (abs/rel):Dual infeas (abs/rel):Duality gap (abs/rel):%27s %d
Number of iterations:%21s %e in %d iterations
Total solver timeSolve time%21s %e 
Iters per sec%21s %e
Scaling timePresolve time%21s %e in %d calls
AtyComputeResidualsUpdateIteratesLast iter:Average iter:Timing information: [A] [L]Iteration limit reached.Time limit reached.Optimal average solution.Optimal current solution.Unexpected.Warning: fp and fp_sol are the same, stop saving solution.333333ӿ333333?% d  %e  %.3f
 - use %d and %d insteadPower Method:Malitsky-Pock is not implemented?G???G??H???G??    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
    iInfNormAbsLocalTermination:    %d
-h-nIterLim-ifScaling-iScalingMethod-eLineSearchMethod-dScalingLimit-dPrimalTol-dDualTol-dGapTol-dFeasTol-dTimeLim-eRestartMethod-ifRuizScaling-ifL2Scaling-ifPcScaling-nLogLevel-nLogInt-ifPre%s: %.3f Iteration % 3d
PrimalStep: %e, SumPrimalStep: %e, DualStep: %e, SumDualStep: %e
Stepsize: %e, Primal weight: %e Ratio: %e
%s:
%6.3f %s (Trans):
INFEASIBLE_OR_UNBOUNDEDTIMELIMIT_OR_ITERLIMITLAST_ITERATEAVERAGE_ITERATE--- saving to %s
"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","terminationInfeasIterate":"%s"--- saving sol to %s
"nCols": %d,
"nRows": %d"col_value": [%.14f"col_dual": ["row_value": ["row_dual": [CUPDHG Parameters:  ____ _   _ ____  ____  _     ____ / ___| | | |  _ \|  _ \| |   |  _ \| |   | | | | |_) | | | | |   | |_) || |___| |_| |  __/| |_| | |___|  __/ \____|\___/|_|   |____/|_____|_|CUPDHG User Parameters:    -h: print this helper    -nIterLim:  maximum iteration number                default: INT_MAX    -ifScaling: whether to use scaling    -eLineSearchMethod: which line search method to use                        0-Fixed, 1-Malitsky (not support), 2-Adaptive                default: 2                range:   0 to 2    -dPrimalTol: primal tolerance    -dDualTol: dual tolerance    -dGapTol: gap tolerance                default: 1e-4    -dFeasTol: feasibility tolerance                default: 1e-8    -dTimeLim: time limit (in seconds)                type:    double                default: 3600                range:   >= 0    -eRestartMethod: which restart method to use                     0-None, 1-KKTversion                type:    int                default: 1                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                type:    bool                default: true                range:   true or falsebasiclu_obj_factorize failedbasiclu_obj_get_factors failedbasiclu_obj_initialize failedN3ipx13BasicLuKernelEN3ipx15LuFactorizationEbasiclu_initialize failedbasiclu_factorize failed normLinv =  normUinv =  stability = basiclu_get_factors failedbasiclu_solve_dense failedbasiclu_solve_for_update (ftran without lhs) failedbasiclu_solve_for_update (ftran with lhs) failedbasiclu_solve_for_update (btran without lhs) failedbasiclu_solve_for_update (btran with lhs) failedbasiclu_update failed max eta =  relative error in new diagonal entry of U = N3ipx7BasicLuEN3ipx8LuUpdateE??@W???P??????????? LU factorization unstable with pivot tolerance  stability check forced refactorization after  updates
Minimum singular value of crash basis: discarding crash basis
Minimum singular value of repaired crash basis: LU pivot tolerance tightened to Number of columns dropped from guessed basis: basis repair: |pivot| =  refactorization required in CrashExchange()
Number of free variables nonbasic:Unbounded primal ray with objective change: free variables remaining
Number of free variables swapped for stability:Number of fixed variables basic:Unbounded dual ray with objective change: fixed variables remaining
Number of fixed variables swapped for stability:    Num factorizations = %d
    Num updates = %d
    Average density of %7d FTRANs is %6.4f; sparse proportion = %6.4f
    Average density of %7d BTRANs is %6.4f; sparse proportion = %6.4f
    Mean fill-in %11.4g
    Max  fill-in %11.4g

Basis data CR method not converged in  iterations. residual =  tolerance =  PCR method not converged in  matrix in PCR method not posdef. cdot = , infnorm(sresidual) = , infnorm(residual) =  resnorm_precond_system old =  resnorm_precond_system new = IPM interruptPrimal residual before push phase:Dual residual before push phase:Number of dual pushes required:Number of primal pushes required:Primal residual after push phase:Dual residual after push phase:invalid variable in Crossover::PushPrimalbound condition violated in Crossover::PushPrimalMinimum singular value of basis matrix: primal pushes remaining ( pivots)
invalid variable in Crossover::PushDualsign condition violated in Crossover::PushDual dual pushes remainingN3ipx15DiagonalPrecondEN3ipx14LinearOperatorE333333??N3ipx13ForrestTomlinE



Number of free variables in starting basis:Number of singletons in starting basis:Number of other columns matched:Number of other columns failed:no modelstatus_ipmstatus_crossovererrflagnum_varnum_constrnum_entriesnum_rows_solvernum_cols_solvernum_entries_solverdualizeddense_colsdependent_rowsdependent_colsrows_inconsistentcols_inconsistentprimal_droppeddual_droppedabs_presidualabs_dresidualrel_presidualrel_dresidualpobjvaldobjvalrel_objgapcomplementaritynormxnormynormzkktiter1kktiter2basis_repairsupdates_startupdates_ipmupdates_crossovertime_totaltime_ipm1time_ipm2time_starting_basistime_crossovertime_kkt_factorizetime_kkt_solvetime_maxvoltime_cr1time_cr1_AAttime_cr1_pretime_cr2time_cr2_NNttime_cr2_Btime_cr2_Btftran_sparsebtran_sparsetime_ftrantime_btrantime_lu_inverttime_lu_updatemean_fillmax_filltime_symb_invertmaxvol_updatesmaxvol_skippedmaxvol_passestbl_nnztbl_maxfrobnorm_squaredlambdamaxvolume_increasenot runstoppedout of memoryinternal errorprimal infeasdual infeastime limititer limitno progressunknowninfo.???????
$@Performing centring steps...
	Point is now centred
	Point cannot be centred further
	Point could not be centred within 	xj*zj in [ , ]; Ratio = ; (xj*zj / mu) not_in [0.1, 10]: P.resD.resP.objD.objmustepsizespivotskktiterP.fixedD.fixedsvdmin(B)density?????KH?9????KH?9???? (primal basic variable close to bound)
 (dual nonbasic variable close to zero)
N3ipx14KKTSolverBasisEN3ipx9KKTSolverE????N3ipx13KKTSolverDiagE??%??%??%??%??%?????????IPX version 1.0
Running crossover as requested
Running crossover since IPX is imprecise
 internal error:  out of memory
Crossover from starting point
Interior point solve for analytic centre
Interior point solve
 Using starting point provided by user. Skipping initial iterations.
 Constructing starting basis...
Bound violation of basic solution:Dual sign violation of basic solution:Summary
Runtime:Status interior point solve:Status crossover:objective value:interior solution primal residual (abs/rel): / interior solution dual residual (abs/rel):interior solution objective gap (abs/rel):basic solution primal infeasibility:basic solution dual infeasibility:? |pivot| (maxvolume)
==Input
Number of variables:Number of free variables:Number of constraints:Number of equality constraints:Number of matrix entries:Matrix range:RHS range:Objective range:Bounds range:Preprocessing
Dualized model:yesnoNumber of dense columns:Range of scaling factors:?????????N3ipx12NormalMatrixE?N3ipx20SplittedNormalMatrixE?????Q????{?G?z??????Mb??@o@???0???^???????#B????;?+????=??????????@@333333???????]A
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