pulp.constants

This file contains the constant definitions for PuLP Note that hopefully these will be changed into something more pythonic

exception pulp.constants.PulpError

Bases: Exception

Pulp Exception Class

args

with_traceback()

Exception.with_traceback(tb) – set self.__traceback__ to tb and return self.

pulp.constants.LpContinuous

LpContinuous= “Continuous”

LpInteger = "Integer"

LpInteger= “Integer”

LpBinary = "Binary"

LpBinary= “Binary”

pulp.constants.LpStatus

Return status from solver:

LpStatus key	string value	numerical value
LpStatusOptimal	“Optimal”	1
LpStatusNotSolved	“Not Solved”	0
LpStatusInfeasible	“Infeasible”	-1
LpStatusUnbounded	“Unbounded”	-2
LpStatusUndefined	“Undefined”	-3

pulp.constants.LpStatusOptimal

LpStatusOptimal = 1

pulp.constants.LpStatusNotSolved

LpStatusNotSolved = 0

pulp.constants.LpStatusInfeasible

LpStatusInfeasible = -1

pulp.constants.LpStatusUnbounded

LpStatusUnbounded = -2

pulp.constants.LpStatusUndefined

LpStatusUndefined = -3

pulp.constants.LpSolution

Return solution status from solver:

LpStatus key	string value	numerical value
LpSolutionOptimal	“Optimal Solution Found”	1
LpSolutionNoSolutionFound	“No Solution Found”	0
LpSolutionStatusInfeasible	“No Solution Exists”	-1
LpSolutionStatusUnbounded	“Solution is Unbounded”	-2
LpSolutionIntegerFeasible	“Solution Found”	2

pulp.constants.LpSenses

Dictionary of values for sense:

LpSenses = {LpMaximize:”Maximize”, LpMinimize:”Minimize”}

pulp.constants.LpMinimize

LpMinimize = 1

pulp.constants.LpMaximize

LpMaximize = -1

pulp.constants.LpConstraintEQ

LpConstraintEQ = 0

pulp.constants.LpConstraintLE

LpConstraintLE = -1

pulp.constants.LpConstraintGE

LpConstraintGE = 1

pulp.constants.LpConstraintSenses

LpConstraint key	symbolic value	numerical value
LpConstraintEQ	“==”	0
LpConstraintLE	“<=”	-1
LpConstraintGE	“>=”	1