[testing] travis

.travis.yml

@@ -39,6 +39,10 @@ script:
 
 after_success:
   - codecov
+  - conda install sphinx
+  - cd doc
+  - make html
+  - cd ../
 
 deploy:
   provider: pypi
@@ -48,4 +52,4 @@ deploy:
   on:
     plot_density
   server: https://testpypi.python.org/pypi
-  distributions: "bdist_wheel sdist"
+  distributions: "bdist_wheel sdist"

GPy/__init__.py

@@ -43,6 +43,20 @@ def load(file_or_path):
     :param file_name: path/to/file.pickle
     """
     try:
+        unicode = unicode
+    except NameError:
+        # 'unicode' is undefined, must be Python 3
+        str = str
+        unicode = str
+        bytes = bytes
+        basestring = (str,bytes)
+    else:
+        # 'unicode' exists, must be Python 2
+        str = str
+        unicode = unicode
+        bytes = str
+        basestring = basestring    
+        try:
         import cPickle as pickle
         if isinstance(file_or_path, basestring): 
             with open(file_or_path, 'rb') as f:

GPy/testing/model_tests.py

@@ -48,7 +48,7 @@ class MiscTests(unittest.TestCase):
         Y = self.Y
         mu, std = Y.mean(0), Y.std(0)
         m = GPy.models.GPRegression(self.X, Y, kernel=k, normalizer=True)
-        m.optimize()
+        m.optimize(messages=True)
         assert(m.checkgrad())
         k = GPy.kern.RBF(1)
         m2 = GPy.models.GPRegression(self.X, (Y-mu)/std, kernel=k, normalizer=False)

GPy/testing/pickle_tests.py

@@ -21,6 +21,7 @@ from GPy.core.parameterization.variational import NormalPosterior
 from GPy.models.gp_regression import GPRegression
 from functools import reduce
 from GPy.util.caching import Cacher
+import GPy
 from pickle import PicklingError
 
 def toy_model():
@@ -60,13 +61,15 @@ class Test(ListDictTestCase):
             pio2 = pickle.load(f)
             self.assertListDictEquals(pio._properties, pio2._properties)
 
-        with tempfile.TemporaryFile('w+b') as f:
-            pickle.dump(piov, f)
-            f.seek(0)
-            pio2 = pickle.load(f)
-            #py3 fix
-            #self.assertListDictEquals(dict(piov.items()), dict(pio2.iteritems()))
-            self.assertListDictEquals(dict(piov.items()), dict(pio2.items()))
+        f = tempfile.TemporaryFile('w+b')
+        pickle.dump(piov, f)
+        f.seek(0)
+        pio2 = GPy.load(f)
+        f.close()
+
+        #py3 fix
+        #self.assertListDictEquals(dict(piov.items()), dict(pio2.iteritems()))
+        self.assertListDictEquals(dict(piov.items()), dict(pio2.items()))
 
     def test_param(self):
         param = Param('test', np.arange(4*2).reshape(4,2))

GPy/testing/plotting_tests.py

@@ -101,7 +101,9 @@ def test_kernel():
     matplotlib.rcParams[u'text.usetex'] = False
     k = GPy.kern.RBF(5, ARD=True) + GPy.kern.Linear(3, active_dims=[0,2,4], ARD=True) + GPy.kern.Bias(2)
     k.randomize()
-    k.plot_ARD(legend=True)
+    k2 = GPy.kern.RBF(5, ARD=True) + GPy.kern.Linear(3, active_dims=[0,2,4], ARD=True) + GPy.kern.Bias(2) + GPy.kern.White(4)
+    k2[:-1] = k[:]
+    k2.plot_ARD([k2.white.name], legend=True)
     for do_test in _image_comparison(
             baseline_images=['kern_{}'.format(sub) for sub in ["ARD",]],
             extensions=extensions):

setup.cfg

@@ -8,10 +8,5 @@ commit = True
 [bdist_wheel]
 universal = 1
 
-[build_sphinx]
-source-dir = doc/source
-build-dir  = doc/build
-all_files  = 1
-
-[upload_sphinx]
+[upload_docs]
 upload-dir = doc/build/html

setup.py

@@ -145,7 +145,10 @@ setup(name = 'GPy',
                    'Operating System :: Microsoft :: Windows',
                    'Operating System :: POSIX :: Linux',
                    'Programming Language :: Python :: 2.7',
-                   'Topic :: Scientific/Engineering :: Artificial Intelligence']
+                   'Programming Language :: Python :: 3.3',
+                   'Programming Language :: Python :: 3.4',
+                   'Programming Language :: Python :: 3.5',
+                   ]
       )