Fixed small mistakes in code.

theano/sandbox/linalg/ops.py

@@ -1047,7 +1047,7 @@ class QRFull(Op):
                                  self.mode)
 
     def __str__(self):
-        return self._numop.__name__.capitalize()
+        return self._numop.__class__.__name__
 
 
 class QRIncomplete(Op):
@@ -1082,7 +1082,7 @@ class QRIncomplete(Op):
                            self.mode)
 
     def __str__(self):
-        return self._numop.__name__.capitalize()
+        return self._numop.__class__.__name__
 
 
 def qr(a, mode="full"):
@@ -1115,6 +1115,9 @@ def qr(a, mode="full"):
         must be spelled out.
         Default mode is 'full' which is also default for numpy 1.6.1.
 
+        Note:   Default mode was left to full as full and reduced are both doing
+                the same thing in the new numpy version but only full works on the old
+                previous numpy version.
     Returns :
     ---------
     q : matrix of float or complex, optional

theano/sandbox/linalg/tests/test_linalg.py

@@ -176,6 +176,7 @@ def test_matrix_dot():
 
     assert _allclose(numpy_sol, theano_sol)
 
+
 def test_qr_default():
     rng = numpy.random.RandomState(utt.fetch_seed())
     A = tensor.matrix("A", dtype=theano.config.floatX)
@@ -245,6 +246,7 @@ def test_svd():
     assert _allclose(n_v, t_v)
     assert _allclose(n_t, t_t)
 
+
 def test_inverse_singular():
     singular = numpy.array([[1, 0, 0]] + [[0, 1, 0]] * 2,
                            dtype=theano.config.floatX)
@@ -256,6 +258,7 @@ def test_inverse_singular():
         return
     assert False
 
+
 def test_inverse_grad():
     rng = numpy.random.RandomState(utt.fetch_seed())
     r = rng.randn(4, 4)