def generate(self, rows, cols, seed=None):
npr.seed(seed)
problem = Problem()
problem.dual = False
problem.A = self.__getMatrixA(rows, cols)
problem.b = self.__getVectorB(rows)
problem.c = self.__getVectorC(cols)
problem.base = range(cols, rows + cols)
problem.nonBase = range(0, cols)
problem.decVarCount = cols
return problem
def generate(self, rows, cols, seed=None):
npr.seed(seed)
problem = Problem()
problem.dual = False
problem.A = self.__getMatrixA(rows, cols)
problem.b = self.__getVectorB(rows)
problem.c = self.__getVectorC(cols)
problem.base = range(cols, rows + cols)
problem.nonBase = range(0, cols)
problem.decVarCount = cols
return problem
def toProblem(self):
# get current state
A = self.__getMatrixA()
b = self.__forwardSolve(self.b)
objVal, c = self.__getObjectiveRow()
dual = self.problem.dual
# build problem
problem = Problem()
problem.dual = dual
problem.A = A
problem.b = b
problem.c = c.transpose()
problem.z = objVal
problem.base = self.base[:]
problem.nonBase = self.nonBase[:]
return problem
