remove print in tests.

theano/compile/tests/test_builders.py

@@ -22,9 +22,9 @@ class T_OpFromGraph(unittest.TestCase):
         xv = numpy.ones((2, 2), dtype=config.floatX)
         yv = numpy.ones((2, 2), dtype=config.floatX)*3
         zv = numpy.ones((2, 2), dtype=config.floatX)*5
-        print function, function.__module__
-        print fn.maker.env.toposort()
-        print fn(xv, yv, zv)
+        #print function, function.__module__
+        #print fn.maker.env.toposort()
+        fn(xv, yv, zv)
         assert numpy.all(8.0 == fn(xv, yv, zv))
         assert numpy.all(8.0 == fn(xv, yv, zv))
 

theano/compile/tests/test_debugmode.py

@@ -211,7 +211,7 @@ def test_badclinkeroutput():
     try:
         f_inconsistent([1.0, 2.0, 3.0], [2, 3, 4])
     except debugmode.BadCLinkerOutput, e:
-        print repr(e)
+        #print repr(e)
         assert e.r.owner.op is inconsistent
         return  # TEST PASS
 
@@ -490,7 +490,7 @@ class Test_ViewMap(unittest.TestCase):
             f([1, 2, 3, 4], [5, 6, 7, 8])
             assert False  # DebugMode should have caught the error
         except debugmode.BadViewMap, e:
-            print e
+            #print e
             pass
 
         # the situation can be rescued by picking one of the inputs and
@@ -554,7 +554,7 @@ class Test_check_isfinite(unittest.TestCase):
 
         #inf should go through
         infs = numpy.asarray([1.0, 1., 1.]) / 0
-        print infs
+        #print infs
         f(infs)
         return
 
@@ -576,11 +576,11 @@ class BrokenCImplementationAdd(gof.Op):
         return r
 
     def perform(self, node, inp, out_):
-        print 'executing python perform'
+        #print 'executing python perform'
         a, b = inp
         out, = out_
         z = a + b
-        print 'out[0] was:', out[0]
+        #print 'out[0] was:', out[0]
         out[0] = z
 
     def c_code_cache_version(self):

theano/compile/tests/test_misc.py

@@ -18,7 +18,7 @@ class NNet(object):
         self.lr = shared(lr, 'learning_rate')
         self.w1 = shared(numpy.zeros((n_hidden, n_input)), 'w1')
         self.w2 = shared(numpy.zeros((n_output, n_hidden)), 'w2')
-        print self.lr.type
+        #print self.lr.type
 
         self.hidden = sigmoid(tensor.dot(self.w1, self.input))
         self.output = tensor.dot(self.w2, self.hidden)
@@ -51,7 +51,7 @@ class TestNnet(unittest.TestCase):
                 output, cost = nnet.sgd_step(input, target)
                 mean_cost += cost
             mean_cost /= float(len(data))
-            print 'Mean cost at epoch %s: %s' % (epoch, mean_cost)
+            #print 'Mean cost at epoch %s: %s' % (epoch, mean_cost)
         self.assertTrue(abs(mean_cost - 0.20588975452) < 1e-6)
         # Just call functions to make sure they do not crash.
         out = nnet.compute_output(input)

theano/compile/tests/test_module.py

@@ -146,7 +146,7 @@ class T_module(unittest.TestCase):
 
             #assign 4 and 5 to the two variables' containers in m
             m.l = [4, 5]
-            print 'm.f', m.f()
+            m.f()
             assert numpy.all(5 == m.f())
             assert numpy.all(4 == m.g())
 
@@ -189,9 +189,9 @@ class T_module(unittest.TestCase):
             assert 5 == m.f()
             assert 4 == m.g()
 
-        print 'dscalar test'
+        #print 'dscalar test'
         local_test(lambda:T.dscalar(),lambda:T.dscalar())
-        print 'value test'
+        #print 'value test'
         local_test(lambda:T.value(1),lambda:T.value(2))
 
 
@@ -494,9 +494,9 @@ class T_module(unittest.TestCase):
         M.a = [1,2,3]
         M.make()
         m = M.make()
-        print m.a
-        print m.a[0], type(m.a[0]), m.a[0] == 1
-        print list(m.a)
+        #print m.a
+        #print m.a[0], type(m.a[0]), m.a[0] == 1
+        #print list(m.a)
         assert list(m.a) == [1,2,3]
         assert m.a is not M.a
         try:
@@ -545,7 +545,8 @@ def test_multiple_references():
             self.sub_module = sub_module
 
         def _instance_initialize(self, obj):
-            print 'Initializing A'
+            pass
+            #print 'Initializing A'
 
 
     class B(theano.Module):
@@ -555,7 +556,8 @@ def test_multiple_references():
             self.sub_module = sub_module
 
         def _instance_initialize(self, obj):
-            print 'Initializing B'
+            pass
+            #print 'Initializing B'
 
 
     class C(theano.Module):
@@ -565,11 +567,11 @@ def test_multiple_references():
             self.value = theano.tensor.scalar()
 
         def _instance_initialize(self, obj):
-            print 'Initializing C'
+            #print 'Initializing C'
             obj.value = 0
 
         def _instance_set(self, obj, value):
-            print 'Setting C'
+            #print 'Setting C'
             obj.value = value
 
 
@@ -584,7 +586,7 @@ def test_multiple_references():
             self.bug = theano.tensor.scalar()
 
         def _instance_initialize(self, obj):
-            print 'Initializing D'
+            #print 'Initializing D'
             obj.c.set(1)
 
 

theano/compile/tests/test_pfunc.py

@@ -369,7 +369,6 @@ class Test_pfunc(unittest.TestCase):
             z: (((x * 5) + y) ** z)})
 
         up()
-        print x.get_value(borrow=True)
         assert numpy.all(x.get_value() == 20)
         assert numpy.all(y.get_value() == 24)
         assert numpy.all(z.get_value() == (24 ** 2))
@@ -380,7 +379,6 @@ class Test_pfunc(unittest.TestCase):
 
         f = pfunc([], [x])
         f()
-        print x.get_value()
         assert x.get_value() == 1
 
         del x.default_update
@@ -399,32 +397,26 @@ class Test_pfunc(unittest.TestCase):
         # Test that the default update is taken into account in the right cases
         f1 = pfunc([], [x], no_default_updates=True)
         f1()
-        print x.get_value()
         assert x.get_value() == 0
 
         f2 = pfunc([], [x], no_default_updates=[x])
         f2()
-        print x.get_value()
         assert x.get_value() == 0
 
         f3 = pfunc([], [x], no_default_updates=[x, y])
         f3()
-        print x.get_value()
         assert x.get_value() == 0
 
         f4 = pfunc([], [x], no_default_updates=[y])
         f4()
-        print x.get_value()
         assert x.get_value() == 2
 
         f5 = pfunc([], [x], no_default_updates=[])
         f5()
-        print x.get_value()
         assert x.get_value() == 4
 
         f5 = pfunc([], [x], no_default_updates=False)
         f5()
-        print x.get_value()
         assert x.get_value() == 6
 
         self.assertRaises(TypeError, pfunc, [], [x], no_default_updates=(x))
@@ -435,32 +427,26 @@ class Test_pfunc(unittest.TestCase):
         # Mix explicit updates and no_default_updates
         g1 = pfunc([], [x], updates=[(x, (x - 1))], no_default_updates=True)
         g1()
-        print x.get_value()
         assert x.get_value() == 5
 
         g2 = pfunc([], [x], updates=[(x, (x - 1))], no_default_updates=[x])
         g2()
-        print x.get_value()
         assert x.get_value() == 4
 
         g3 = pfunc([], [x], updates=[(x, (x - 1))], no_default_updates=[x, y])
         g3()
-        print x.get_value()
         assert x.get_value() == 3
 
         g4 = pfunc([], [x], updates=[(x, (x - 1))], no_default_updates=[y])
         g4()
-        print x.get_value()
         assert x.get_value() == 2
 
         g5 = pfunc([], [x], updates=[(x, (x - 1))], no_default_updates=[])
         g5()
-        print x.get_value()
         assert x.get_value() == 1
 
         g5 = pfunc([], [x], updates=[(x, (x - 1))], no_default_updates=False)
         g5()
-        print x.get_value()
         assert x.get_value() == 0
 
     def test_default_updates_expressions(self):
@@ -473,17 +459,14 @@ class Test_pfunc(unittest.TestCase):
 
         f1 = pfunc([a], z)
         f1(12)
-        print x
         assert x.get_value() == 1
 
         f2 = pfunc([a], z, no_default_updates=True)
         assert f2(7) == 7
-        print x
         assert x.get_value() == 1
 
         f3 = pfunc([a], z, no_default_updates=[x])
         assert f3(9) == 9
-        print x
         assert x.get_value() == 1
 
     def test_default_updates_multiple(self):
@@ -524,7 +507,6 @@ class Test_pfunc(unittest.TestCase):
 
         f1 = pfunc([], [x])
         f1()
-        print x.get_value(), y.get_value(), z.get_value()
         assert x.get_value() == 1
         assert y.get_value() == -1
         assert z.get_value() == -2
@@ -598,10 +580,8 @@ class Test_pfunc(unittest.TestCase):
         b = 2 * a
         # Use only the tip of the graph, a is not used
         f = pfunc([b], b)
-        print 'a.get_value() =', a.get_value()
         assert a.get_value() == 0
         f(21)
-        print 'a.get_value() =', a.get_value()
         assert a.get_value() == 0
 
     def test_givens_replaces_shared_variable(self):
@@ -917,7 +897,7 @@ class Test_aliasing_rules(unittest.TestCase):
         data_of_b = data_of(B)
 
         f = pfunc([], [], updates=[(A, B[:, ::-1]), (B, A.T)])
-        theano.printing.debugprint(f)
+        #theano.printing.debugprint(f)
         f()
         # correctness (doesn't actually test the view...)
         assert numpy.all(data_of(A) == -.5)
@@ -938,7 +918,6 @@ class Test_aliasing_rules(unittest.TestCase):
 
             assert numpy.all(data_of(B) < 5)
             data_of_a += 10
-            print data_of(B)
             assert numpy.all(data_of(B) > 5)
             data_of_a -= 10