Merge pull request #926 from delallea/minor2

doc/tutorial/extending_theano.txt

@@ -415,12 +415,12 @@ Here is some code that allow to make the op Optional:
 Random number in tests
 ----------------------
 
-Making tests errors more reproducable is a good practice. To make your
-tests more reproducable, you need a way to get the same random
-number. You can do this by seeding NumPy's randon number
+Making tests errors more reproducible is a good practice. To make your
+tests more reproducible, you need a way to get the same random
+numbers. You can do this by seeding NumPy's random number
 generator.
 
-For conveniance, the classes InferShapeTester and RopLop_checker
+For convenience, the classes InferShapeTester and RopLop_checker
 already do this for you. If you implement your own ``setUp`` function,
 don't forget to call the parent ``setUp`` function.
 

theano/misc/hooks/check_whitespace.py

@@ -87,7 +87,7 @@ def run_mercurial_command(hg_command):
     hg_command_tuple = hg_command.split()
     hg_command_tuple.insert(0, hg_executable)
     #If you install your own mercurial version in your home
-    #hg_executable don't always have execution permission.
+    #hg_executable does not always have execution permission.
     if not os.access(hg_executable, os.X_OK):
         hg_command_tuple.insert(0, sys.executable)
     try:

theano/scan_module/scan_perform_ext.py

@@ -5,8 +5,9 @@ from theano import config
 from theano.gof.compilelock import get_lock, release_lock
 from theano.gof import cmodule
 
+
 _logger = logging.getLogger('theano.scan_module.scan_perform')
-logging.basicConfig(level=logging.DEBUG)
+_logger.setLevel(logging.WARN)
 
 
 # Ensure the compiledir is in `sys.path` to be able to reload an existing

theano/tensor/tests/test_basic.py

@@ -1399,7 +1399,7 @@ _good_broadcast_unary_gammaln = dict(
     normal=(rand_ranged(-1 + 1e-2, 10, (2, 3)),),
     empty=(numpy.asarray([]),),)
 _grad_broadcast_unary_gammaln = dict(
-    # smaller range as our grad method don't estimate it good enough.
+    # smaller range as our grad method does not estimate it well enough.
     normal=(rand_ranged(1e-8, 8, (2, 3)),),)
 
 GammaTester = makeBroadcastTester(