def testMaxOpt3(self):
self.assertDictEqual(
{
'Z': 180,
'x_1': 40.0,
'x_2': 30.0
},
SimplexSolverADT().solveLP([[3, 2], [1, 0], [0, 1]], [180, 40, 60],
[3, 2], [], 'max'))
def testMinOpt(self):
self.assertDictEqual({
'Z': -4.5714,
'x_1': 2.2857,
'x_2': 0
},
SimplexSolverADT().solveLP([[3, 4], [7, 4]],
[24, 16], [-2, 3], [],
'min'))
def testMaxOpt1(self):
self.assertDictEqual(
{
'Z': 3.0,
'x_1': 0,
'x_2': 0,
'x_3': 3.0
},
SimplexSolverADT().solveLP([[1, 1, 1], [4, -3, 1], [2, 1, -1]],
[10, 3, 10], [2, -3, 1], [], 'max'))
def testMaxOpt2(self):
self.assertDictEqual(
{
'Z': 1052000.0,
'x_1': 4.0,
'x_2': 10.0,
'x_3': 14.0
},
SimplexSolverADT().solveLP(
[[20, 6, 3], [0, 1, 0], [-1, -1, 1], [-9, 1, 1]],
[182, 10, 0, 0], [100000, 40000, 18000], [], 'max'))
def testMinNoOpt2(self):
self.assertRaises(
Exceptions.NO_OPTIMAL_SOLUTION,
SimplexSolverADT().solveLP([[400, 300], [300, 400], [200, 500]],
[25000, 27000, 30000], [11, 16, 15], [],
'min'))
def testMissingLC(self):
self.assertRaises(
Exceptions.NO_OPTIMAL_SOLUTION,
SimplexSolverADT().solveLP([], [], [-2, 3], [], 'min'))
def testMissingObjcFunc(self):
self.assertRaises(
Exceptions.NO_OPTIMAL_SOLUTION,
SimplexSolverADT().solveLP([[3, 4], [7, 4]], [24, 16], [], [],
'min'))
def testMinNoOpt1(self):
self.assertRaises(
Exceptions.NO_OPTIMAL_SOLUTION,
SimplexSolverADT().solveLP(
[[-1, -5], [-1, -4], [-1, -3], [-1, -2], [-1, -1]],
[-6, -5, -4, -5, -6], [3, 14], [], 'min'))
def testMaxNoOpt(self):
self.assertRaises(
Exceptions.NO_OPTIMAL_SOLUTION,
SimplexSolverADT().solveLP([[1, -1], [2, -1]], [10, 40], [2, 1],
[], 'max'))