_______________________ TestLinprogIPDense.test_bug_6139 _______________________
  ../venv-test/lib/python3.12/site-packages/scipy/optimize/tests/test_linprog.py:1358: in test_bug_6139
      _assert_success(res, desired_fun=14.95,
          A_eq       = array([[    1.,     0.,     0.],
         [-1000.,     0., -1000.]])
          A_ub       = array([[      -0., -1000000., -1010000.]])
          b_eq       = array([ 5.e+00, -1.e+04])
          b_ub       = array([-10000000.])
          bounds     = (None, None)
          c          = array([1, 1, 1])
          res        =  message: The solution does not satisfy the constraints within the required tolerance of 3.16E-04, yet no errors were ...port.
   success: False
    status: 4
       fun: 14.949999998947106
         x: [ 5.000e+00  4.950e+00  5.000e+00]
       nit: 5
          self       = <scipy.optimize.tests.test_linprog.TestLinprogIPDense object at 0x112a51df0>
  ../venv-test/lib/python3.12/site-packages/scipy/optimize/tests/test_linprog.py:68: in _assert_success
      raise AssertionError(msg)
  E   AssertionError: linprog status 4, message: The solution does not satisfy the constraints within the required tolerance of 3.16E-04, yet no errors were raised and there is no certificate of infeasibility or unboundedness. Check whether the slack and constraint residuals are acceptable; if not, consider enabling presolve, adjusting the tolerance option(s), and/or using a different method. Please consider submitting a bug report.
          atol       = 1e-08
          desired_fun = 14.95
          desired_x  = array([5.  , 4.95, 5.  ])
          msg        = 'linprog status 4, message: The solution does not satisfy the constraints within the required tolerance of 3.16E-04, y...presolve, adjusting the tolerance option(s), and/or using a different method. Please consider submitting a bug report.'
          res        =  message: The solution does not satisfy the constraints within the required tolerance of 3.16E-04, yet no errors were ...port.
   success: False
    status: 4
       fun: 14.949999998947106
         x: [ 5.000e+00  4.950e+00  5.000e+00]
       nit: 5
          rtol       = 1e-08

numpy 2.0.0.dev0, main