nose.proxy.UnsupportedOperation: fileno

I run nosetests under test directory and I got the following error, I'm using python 3.4.3, Theano (0.10.0b1), DIRECT (1.0.1), cma (2.2.0):

..............DIRECT Version 2.0.4
Problem Dimension n : 3
Eps value : 0.1000E-03
Epsilon is constant.
Maximum number of f-evaluations (maxf) : 200
Maximum number of iterations (MaxT) : 200
Value of f_global : -0.1000+101
Global percentage wanted : 0.1000E-01
Volume percentage wanted : -0.1000E+01
Measure percentage wanted : -0.1000E+01
Jones original DIRECT algorithm is used.
Bounds on variable x 1 : 0.00000 <= xi <= 3.00000
Bounds on variable x 2 : 0.00000 <= xi <= 3.00000
Bounds on variable x 3 : 0.00000 <= xi <= 1.00000
---------------------------------------------------------------------------
Call-back cb_fcn_in_direct__user__routines failed.
EEE.DIRECT Version 2.0.4
Problem Dimension n : 3
Eps value : 0.1000E-03
Epsilon is constant.
Maximum number of f-evaluations (maxf) : 200
Maximum number of iterations (MaxT) : 200
Value of f_global : -0.1000+101
Global percentage wanted : 0.1000E-01
Volume percentage wanted : -0.1000E+01
Measure percentage wanted : -0.1000E+01
Jones original DIRECT algorithm is used.
Bounds on variable x 1 : 0.00000 <= xi <= 3.00000
Bounds on variable x 2 : 0.00000 <= xi <= 3.00000
Bounds on variable x 3 : 0.00000 <= xi <= 1.00000
---------------------------------------------------------------------------
Call-back cb_fcn_in_direct__user__routines failed.
E....E..EE....................EE......EE
--------------------------------------------------------------------------
ERROR: test_bayesian_optimization (test.test_fmin.test_fabolas.TestFminInterfaceFabolas)
----------------------------------------------------------------------
Traceback (most recent call last):
File "/home/yujiezeng/RoBO-master/test/test_fmin/test_fabolas.py", line 32, in test_bayesian_optimization
num_iterations=3)
File "/home/yujiezeng/RoBO-master/robo/fmin/fabolas.py", line 255, in fabolas
new_x = maximizer.maximize()
File "/home/yujiezeng/RoBO-master/robo/maximizers/direct.py", line 58, in maximize
maxf=self.n_func_evals)
File "/usr/local/lib/python3.4/dist-packages/DIRECT/__init__.py", line 202, in solve
cdata
nose.proxy.ValueError: data type must provide an itemsize
-------------------- >> begin captured logging << --------------------
robo.fmin.fabolas: INFO: Initial Design
robo.fmin.fabolas: INFO: Evaluate [ 1.69439373 0.482941 ] on subset size 1000
robo.fmin.fabolas: INFO: Configuration achieved a performance of 0.269781 with cost 0.666667
robo.fmin.fabolas: INFO: Evaluation of this configuration took 0.000032 seconds
robo.fmin.fabolas: INFO: Evaluate [ 1.52588927 2.30983096] on subset size 500
robo.fmin.fabolas: INFO: Configuration achieved a performance of 0.386193 with cost 0.566323
robo.fmin.fabolas: INFO: Evaluation of this configuration took 0.000031 seconds
robo.fmin.fabolas: INFO: Start iteration 2 ...
robo.models.gaussian_process: DEBUG: GP Hyperparameters: [ 0.02097522 0.59755141 -8.81338374 -3.43134297 -5.07902244 -9.87174703]
robo.models.gaussian_process: DEBUG: GP Hyperparameters: [ -1.81730834 -0.89709109 -9.10406393 -19.87679305 2.31857963
-14.92482045]
robo.models.gaussian_process: DEBUG: GP Hyperparameters: [ 4.57202765 0.29965072 1.77546915 -3.03804691 -19.05497834
-16.63347632]
robo.models.gaussian_process: DEBUG: GP Hyperparameters: [ -1.305978 -2.17223643 -3.61420603 -0.35647238 -10.10918047
-7.69056374]
robo.models.gaussian_process: DEBUG: GP Hyperparameters: [ 2.18240973 -2.38925303 1.34713723 1.4512109 1.56262757
-11.91145864]
robo.models.gaussian_process: DEBUG: GP Hyperparameters: [ -1.15320771 -9.22795705 -0.88630784 -1.34085912 -6.383649
-10.20094539]
robo.models.gaussian_process: DEBUG: GP Hyperparameters: [ 2.88490038 -9.1242683 -6.35461619 -11.29592113 -1.32902471
-17.66490343]
robo.models.gaussian_process: DEBUG: GP Hyperparameters: [ 0.1464228 -7.23735333 1.66055707 -3.00008653 -5.77473881
-17.0431326 ]
robo.models.gaussian_process: DEBUG: GP Hyperparameters: [ 1.01592742 -0.29636148 -5.94322631 -14.02110886 0.16381314
-14.29859068]
robo.models.gaussian_process: DEBUG: GP Hyperparameters: [ 0.98807613 -0.79486195 -7.01943626 -5.09050946 0.56289086
-12.09571915]
robo.models.gaussian_process: DEBUG: GP Hyperparameters: [ -0.47556749 -6.85544014 -6.50232686 -3.62445204 -5.76107346
-12.30878829]
robo.models.gaussian_process: DEBUG: GP Hyperparameters: [ 0.19899653 -6.51725148 -9.8666215 -10.85772118 0.55376277
-10.09597154]
robo.models.gaussian_process: DEBUG: GP Hyperparameters: [ -1.3777787 -0.58384092 -9.33479475 -4.15056335 0.12519402
-10.60977827]
robo.models.gaussian_process: DEBUG: GP Hyperparameters: [ -1.65784574 -4.88218857 -2.83135226 -5.02784295 -1.3545752
-19.46909648]
robo.models.gaussian_process: DEBUG: GP Hyperparameters: [ -1.56998176 -1.10277724 -4.72971497 -0.69255535 0.71320786
-19.93896946]
robo.models.gaussian_process: DEBUG: GP Hyperparameters: [ 0.30471957 -0.71006325 -1.84545467 -13.69680313 -2.44366553
-16.95352385]
robo.models.gaussian_process: DEBUG: GP Hyperparameters: [-0.67952785 -2.73973835 -0.76871713 -2.06452097 -7.53712268 -8.35781702]
robo.models.gaussian_process: DEBUG: GP Hyperparameters: [ -1.13187474 -5.98322734 -2.99208718 -13.03063135 0.79540068
-19.62443926]
robo.models.gaussian_process: DEBUG: GP Hyperparameters: [-1.38687854 -6.6496944 -1.31871034 -4.86179704 -2.70272752 -8.75946565]
robo.models.gaussian_process: DEBUG: GP Hyperparameters: [ -1.613897 -0.50082838 -1.13929317 -10.68350368 -2.18560741
-18.67054974]
robo.models.gaussian_process: DEBUG: GP Hyperparameters: [ -1.30575644 -6.78427331 -3.2517114 -2.15303744 -1.95694001
-11.02679194]
robo.models.gaussian_process: DEBUG: GP Hyperparameters: [ 4.45996225 -1.41815539 -4.81456899 -5.44968798 -5.11196495
-15.52584596]
robo.models.gaussian_process: DEBUG: GP Hyperparameters: [ 0.22694202 -8.57463617 -3.11717172 -0.11567946 1.00820722
-14.75140825]
robo.models.gaussian_process: DEBUG: GP Hyperparameters: [ -1.43667884 -3.65472677 -7.22656167 -4.715566 -1.13186204
-11.0919997 ]
robo.fmin.fabolas: INFO: Current incumbent [ 1.69439373 0.482941 1. ] with estimated performance 0.289487
--------------------- >> end captured logging << ---------------------

======================================================================
ERROR: test_bayesian_optimization (test.test_fmin.test_fmin_interface.TestFminInterface)
----------------------------------------------------------------------
Traceback (most recent call last):
File "/home/yujiezeng/RoBO-master/test/test_fmin/test_fmin_interface.py", line 31, in test_bayesian_optimization
num_iterations=3)
File "/home/yujiezeng/RoBO-master/robo/fmin/bayesian_optimization.py", line 133, in bayesian_optimization
x_best, f_min = bo.run(num_iterations)
File "/home/yujiezeng/RoBO-master/robo/solver/bayesian_optimization.py", line 167, in run
new_x = self.choose_next(self.X, self.y, do_optimize)
File "/home/yujiezeng/RoBO-master/robo/solver/bayesian_optimization.py", line 245, in choose_next
x = self.maximize_func.maximize()
File "/home/yujiezeng/RoBO-master/robo/maximizers/direct.py", line 60, in maximize
fileno = sys.stdout.fileno()
nose.proxy.UnsupportedOperation: fileno
-------------------- >> begin captured logging << --------------------
robo.solver.bayesian_optimization: INFO: Evaluate: [ 0.44798606]
robo.solver.bayesian_optimization: INFO: Configuration achieved a performance of 0.002705 in 0.000012 seconds
robo.solver.bayesian_optimization: INFO: Evaluate: [ 0.75128557]
robo.solver.bayesian_optimization: INFO: Configuration achieved a performance of 0.063144 in 0.000009 seconds
robo.solver.bayesian_optimization: INFO: Start iteration 2 ...
robo.solver.bayesian_optimization: INFO: Train model...
robo.models.gaussian_process: DEBUG: GP Hyperparameters: [ 0.58708092 1.57967465 -16.1517907 ]
robo.models.gaussian_process: DEBUG: GP Hyperparameters: [ 0.18859492 0.89298495 -13.25663879]
robo.models.gaussian_process: DEBUG: GP Hyperparameters: [ 0.31369317 1.94651497 -13.96885373]
robo.models.gaussian_process: DEBUG: GP Hyperparameters: [ 0.4820195 0.41696565 -11.91200299]
robo.models.gaussian_process: DEBUG: GP Hyperparameters: [ 0.52865711 -1.45640437 -3.96483207]
robo.models.gaussian_process: DEBUG: GP Hyperparameters: [ 0.32426576 -1.62946687 -12.4438618 ]
robo.solver.bayesian_optimization: INFO: Time to train the model: 1.200303
robo.solver.bayesian_optimization: INFO: Maximize acquisition function...
--------------------- >> end captured logging << ---------------------

======================================================================
ERROR: test_bohamiann (test.test_fmin.test_fmin_interface.TestFminInterface)
----------------------------------------------------------------------
Traceback (most recent call last):
File "/home/yujiezeng/RoBO-master/test/test_fmin/test_fmin_interface.py", line 41, in test_bohamiann
num_iterations=3)
File "/home/yujiezeng/RoBO-master/robo/fmin/bohamiann.py", line 79, in bohamiann
x_best, f_min = bo.run(num_iterations)
File "/home/yujiezeng/RoBO-master/robo/solver/bayesian_optimization.py", line 167, in run
new_x = self.choose_next(self.X, self.y, do_optimize)
File "/home/yujiezeng/RoBO-master/robo/solver/bayesian_optimization.py", line 245, in choose_next
x = self.maximize_func.maximize()
File "/home/yujiezeng/RoBO-master/robo/maximizers/direct.py", line 60, in maximize
fileno = sys.stdout.fileno()
nose.proxy.UnsupportedOperation: fileno

Start with robo/maximizers/direct.py, especially maximize(), and reproduce the failure by running the affected tests in test/test_fmin/test_fmin_interface.py and test/test_fmin/test_fabolas.py under nose. Done means these optimization tests no longer fail with nose.proxy.UnsupportedOperation: fileno or the related DIRECT data-type error on the reported Python setup.

Written by the indexing model from the issue text.