small test clean up

theano/tensor/tests/test_raw_random.py

@@ -310,8 +310,6 @@ class T_random_function(utt.InferShapeTester):
         self.assertRaises(ValueError, fm11)
         self.assertRaises(ValueError, fm12)
         u01, u02 = f0()
-        print(u01)
-        print(u02)
         self.assertTrue(numpy.allclose(u01, u02[0]))
 
     def test_uniform(self):
@@ -332,10 +330,6 @@ class T_random_function(utt.InferShapeTester):
         val1 = f()
         numpy_val0 = numpy_rng.uniform(-2.0, 2.0, size=(4,))
         numpy_val1 = numpy_rng.uniform(-2.0, 2.0, size=(4,))
-        print(val0)
-        print(numpy_val0)
-        print(val1)
-        print(numpy_val1)
         self.assertTrue(numpy.allclose(val0, numpy_val0))
         self.assertTrue(numpy.allclose(val1, numpy_val1))
 
@@ -359,10 +353,6 @@ class T_random_function(utt.InferShapeTester):
         val1 = f()
         numpy_val0 = numpy_rng.binomial(5, 0.8, size=(7, 12))
         numpy_val1 = numpy_rng.binomial(5, 0.8, size=(7, 12))
-        print(val0)
-        print(numpy_val0)
-        print(val1)
-        print(numpy_val1)
         self.assertTrue(numpy.all(val0 == numpy_val0))
         self.assertTrue(numpy.all(val1 == numpy_val1))
 
@@ -384,10 +374,6 @@ class T_random_function(utt.InferShapeTester):
         val1 = f()
         numpy_val0 = numpy_rng.normal(4.0, 2.0, size=(2, 3))
         numpy_val1 = numpy_rng.normal(4.0, 2.0, size=(2, 3))
-        print(val0)
-        print(numpy_val0)
-        print(val1)
-        print(numpy_val1)
         self.assertTrue(numpy.allclose(val0, numpy_val0))
         self.assertTrue(numpy.allclose(val1, numpy_val1))
 
@@ -411,10 +397,6 @@ class T_random_function(utt.InferShapeTester):
         val1 = f()
         numpy_val0 = numpy_rng.random_integers(-3, 16, size=(11, 8))
         numpy_val1 = numpy_rng.random_integers(-3, 16, size=(11, 8))
-        print(val0)
-        print(numpy_val0)
-        print(val1)
-        print(numpy_val1)
         self.assertTrue(numpy.allclose(val0, numpy_val0))
         self.assertTrue(numpy.allclose(val1, numpy_val1))
 
@@ -447,10 +429,6 @@ class T_random_function(utt.InferShapeTester):
                                     for i in range(7)])
         numpy_val1 = numpy.asarray([numpy_rng.permutation(8)
                                     for i in range(7)])
-        print(val0)
-        print(numpy_val0)
-        print(val1)
-        print(numpy_val1)
         self.assertTrue(numpy.all(val0 == numpy_val0))
         self.assertTrue(numpy.all(val1 == numpy_val1))
 
@@ -502,10 +480,6 @@ class T_random_function(utt.InferShapeTester):
         val1 = f()
         numpy_val0 = numpy_rng.choice(10, (11, 8), True, None)
         numpy_val1 = numpy_rng.choice(10, (11, 8), True, None)
-        print(val0)
-        print(numpy_val0)
-        print(val1)
-        print(numpy_val1)
         self.assertTrue(numpy.allclose(val0, numpy_val0))
         self.assertTrue(numpy.allclose(val1, numpy_val1))
 
@@ -529,10 +503,6 @@ class T_random_function(utt.InferShapeTester):
         val1 = f()
         numpy_val0 = numpy_rng.poisson(5, size=(11, 8))
         numpy_val1 = numpy_rng.poisson(5, size=(11, 8))
-        print(val0)
-        print(numpy_val0)
-        print(val1)
-        print(numpy_val1)
         self.assertTrue(numpy.allclose(val0, numpy_val0))
         self.assertTrue(numpy.allclose(val1, numpy_val1))
 
@@ -541,7 +511,6 @@ class T_random_function(utt.InferShapeTester):
         results as numpy."""
         rng_R = random_state_type()
         post_r, out = permutation(rng_R, size=(9,), n=6)
-        print('OUT NDIM', out.ndim)
         f = compile.function(
                 [compile.In(rng_R,
                     value=numpy.random.RandomState(utt.fetch_seed()),
@@ -558,10 +527,6 @@ class T_random_function(utt.InferShapeTester):
                                     for i in range(9)])
         numpy_val1 = numpy.asarray([numpy_rng.permutation(6)
                                     for i in range(9)])
-        print(val0)
-        print(numpy_val0)
-        print(val1)
-        print(numpy_val1)
         self.assertTrue(numpy.all(val0 == numpy_val0))
         self.assertTrue(numpy.all(val1 == numpy_val1))
 
@@ -596,10 +561,6 @@ class T_random_function(utt.InferShapeTester):
         val1, = f()
         numpy_val0 = numpy_rng.multinomial(6, [0.2] * 5, (7, 3))
         numpy_val1 = numpy_rng.multinomial(6, [0.2] * 5, (7, 3))
-        print(val0)
-        print(numpy_val0)
-        print(val1)
-        print(numpy_val1)
         self.assertTrue(numpy.all(val0 == numpy_val0))
         self.assertTrue(numpy.all(val1 == numpy_val1))