__________________________________ TestLinprogIPSparse.test_bug_6690 ___________________________________

self = <scipy.optimize.tests.test_linprog.TestLinprogIPSparse object at 0x969b5a0c>

    def test_bug_6690(self):
        # https://github.com/scipy/scipy/issues/6690
        A_eq = np.array([[0., 0., 0., 0.93, 0., 0.65, 0., 0., 0.83, 0.]])
        b_eq = np.array([0.9626])
        A_ub = np.array([[0., 0., 0., 1.18, 0., 0., 0., -0.2, 0.,
                          -0.22],
                         [0., 0., 0., 0., 0., 0., 0., 0., 0., 0.],
                         [0., 0., 0., 0.43, 0., 0., 0., 0., 0., 0.],
                         [0., -1.22, -0.25, 0., 0., 0., -2.06, 0., 0.,
                          1.37],
                         [0., 0., 0., 0., 0., 0., 0., -0.25, 0., 0.]])
        b_ub = np.array([0.615, 0., 0.172, -0.869, -0.022])
        bounds = np.array(
            [[-0.84, -0.97, 0.34, 0.4, -0.33, -0.74, 0.47, 0.09, -1.45, -0.73],
             [0.37, 0.02, 2.86, 0.86, 1.18, 0.5, 1.76, 0.17, 0.32, -0.15]]).T
        c = np.array([-1.64, 0.7, 1.8, -1.06, -1.16,
                      0.26, 2.13, 1.53, 0.66, 0.28])
    
        with suppress_warnings() as sup:
            sup.filter(RuntimeWarning, "scipy.linalg.solve\nIll...")
            sup.filter(OptimizeWarning, "Solving system with option...")
            sol = linprog(c, A_ub=A_ub, b_ub=b_ub, A_eq=A_eq, b_eq=b_eq,
                          bounds=bounds, method=self.method,
                          options=self.options)
>       _assert_success(sol, desired_fun=-1.191, rtol=1e-6)

A_eq       = array([[ 0.  ,  0.  ,  0.  ,  0.93,  0.  ,  0.65,  0.  ,  0.  ,  0.83,  0.  ]])
A_ub       = array([[ 0.  ,  0.  ,  0.  ,  1.18,  0.  ,  0.  ,  0.  , -0.2 ,  0.  ,
       ...       [ 0.  ,  0.  ,  0.  ,  0.  ,  0.  ,  0.  ,  0.  , -0.25,  0.  ,  0.  ]])
b_eq       = array([ 0.9626])
b_ub       = array([ 0.615,  0.   ,  0.172, -0.869, -0.022])
bounds     = array([[-0.84,  0.37],
       [-0.97,  0.02],
       [ 0.34,  2.86],
       [ ...,  1.76],
       [ 0.09,  0.17],
       [-1.45,  0.32],
       [-0.73, -0.15]])
c          = array([-1.64,  0.7 ,  1.8 , -1.06, -1.16,  0.26,  2.13,  1.53,  0.66,  0.28])
self       = <scipy.optimize.tests.test_linprog.TestLinprogIPSparse object at 0x969b5a0c>
sol        =      con: array([ -3.39662796e-08])
     fun: -1.1887295500861423
 message: 'T...     ,
        0.49999936,  0.47024822,  0.09028211,  0.32000054, -0.72920656])
sup        = <numpy.testing.utils.suppress_warnings object at 0x969b858c>

../scipy/scipy/optimize/tests/test_linprog.py:690: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

res =      con: array([ -3.39662796e-08])
     fun: -1.1887295500861423
 message: 'T...     ,
        0.49999936,  0.47024822,  0.09028211,  0.32000054, -0.72920656])
desired_fun = -1.191, desired_x = None, rtol = 1e-06, atol = 1e-08

    def _assert_success(res, desired_fun=None, desired_x=None,
                        rtol=1e-8, atol=1e-8):
        # res: linprog result object
        # desired_fun: desired objective function value or None
        # desired_x: desired solution or None
>       assert_(res.success)
E       AssertionError

atol       = 1e-08
desired_fun = -1.191
desired_x  = None
res        =      con: array([ -3.39662796e-08])
     fun: -1.1887295500861423
 message: 'T...     ,
        0.49999936,  0.47024822,  0.09028211,  0.32000054, -0.72920656])
rtol       = 1e-06

../scipy/scipy/optimize/tests/test_linprog.py:118: AssertionError
============ 1 failed, 12559 passed, 1398 skipped, 124 xfailed, 8 xpassed in 818.10 seconds