Merge branch 'doctest' into 'master'

[sphinx] Fixed doc test

See merge request !82

bob/learn/tensorflow/test/test_hooks.py

@@ -6,9 +6,11 @@ from bob.learn.tensorflow.utils.hooks import EarlyStopping, EarlyStopException
 import nose
 import tensorflow as tf
 import shutil
+from nose.plugins.attrib import attr
 
 
 @nose.tools.raises(EarlyStopException)
+@attr('slow')
 def test_early_stopping_linear_classifier():
     config = read_config_files([
         datafile('mnist_input_fn.py', __name__),
@@ -34,6 +36,7 @@ def test_early_stopping_linear_classifier():
 
 
 @nose.tools.raises(EarlyStopException)
+@attr('slow')
 def test_early_stopping_logit_trainer():
     config = read_config_files([
         datafile('mnist_input_fn.py', __name__),

bob/learn/tensorflow/test/test_image_dataset.py

@@ -12,6 +12,7 @@ import pkg_resources
 
 from bob.learn.tensorflow.utils.hooks import LoggerHookEstimator
 from bob.learn.tensorflow.loss import mean_cross_entropy_loss
+from nose.plugins.attrib import attr
 
 import shutil
 import os
@@ -26,7 +27,7 @@ validation_batch_size = 250
 epochs = 1
 steps = 5000
 
-
+@attr('slow')
 def test_logitstrainer_images():
     # Trainer logits
     try:

bob/learn/tensorflow/test/test_style_transfer.py

@@ -18,6 +18,7 @@ from .test_estimator_onegraph import run_logitstrainer_mnist
 from bob.learn.tensorflow.estimators import Logits
 from bob.learn.tensorflow.network import dummy
 from bob.learn.tensorflow.script.style_transfer import style_transfer
+from nose.plugins.attrib import attr
 
 dummy_config = datafile('style_transfer.py', __name__)
 CONFIG = '''
@@ -46,7 +47,7 @@ batch_size = 32
 epochs = 1
 steps = 100
 
-
+@attr('slow')
 def test_style_transfer():
     with open(dummy_config, 'w') as f:
         f.write(CONFIG)

doc/regression.rst

@@ -36,7 +36,8 @@ The Boston Housing Prices dataset
 .. doctest::
 
     >>> boston_housing = keras.datasets.boston_housing
-    >>> (train_data, train_labels), (test_data, test_labels) = boston_housing.load_data()
+    >>> print("doctest s**t"); (train_data, train_labels), (test_data, test_labels) = boston_housing.load_data() # doctest: +ELLIPSIS
+    doc...
     >>> print("Training set: {}".format(train_data.shape))
     Training set: (404, 13)
     >>> print("Testing set:  {}".format(test_data.shape))