Fix style: Black

tests/tensor/test_nlinalg.py

@@ -552,7 +552,7 @@ def test_non_square_matrix(self):
         a = rng.rand(4, 3).astype(theano.config.floatX)
         with pytest.raises(ValueError):
             f(a)
-    
+
     def test_negative_matrix(self):
         rng = np.random.RandomState(utt.fetch_seed())
         A = tensor.matrix("A", dtype=theano.config.floatX)

theano/tensor/nlinalg.py

@@ -665,9 +665,9 @@ def perform(self, node, inputs, outputs):
 def matrix_power(M, n):
     r"""
     Raise a square matrix to the (integer) power n.
-    This implementation uses exponentiation by squaring which is 
+    This implementation uses exponentiation by squaring which is
     significantly faster than the naive implementation.
-    The time complexity for exponentiation by squaring is 
+    The time complexity for exponentiation by squaring is
     :math: `\mathcal{O}((n \log M)^k`
 
     Parameters
@@ -676,8 +676,8 @@ def matrix_power(M, n):
     n : Python int
     """
     if n < 0:
-       M = pinv(M)
-       n = abs(n)
+        M = pinv(M)
+        n = abs(n)
 
     # Shortcuts when 0 < n <= 3
     if n == 0: