flake8 for tensor/opt_uncanonicalize.py

theano/tensor/opt_uncanonicalize.py

@@ -33,7 +33,6 @@ supposed to be canonical.
 # TODO: intelligent merge for mul/add
 # TODO: 0*x -> 0
 import logging
-_logger = logging.getLogger('theano.tensor.opt')
 
 from theano import gof
 from theano.tensor.elemwise import CAReduce
@@ -44,6 +43,8 @@ from theano.tensor.basic import (get_scalar_constant_value,
 from theano.tensor.opt import register_uncanonicalize
 from theano import scalar as scal
 
+_logger = logging.getLogger('theano.tensor.opt')
+
 
 @register_uncanonicalize
 @gof.local_optimizer([T._max_and_argmax])
@@ -81,8 +82,8 @@ def local_max_to_min(node):
     if node.op == T.neg and node.inputs[0].owner:
         max = node.inputs[0]
         if (max.owner and
-            isinstance(max.owner.op, CAReduce)
-            and max.owner.op.scalar_op == scal.maximum):
+                isinstance(max.owner.op, CAReduce) and
+                max.owner.op.scalar_op == scal.maximum):
             neg = max.owner.inputs[0]
             if neg.owner and neg.owner.op == T.neg:
                 return [CAReduce(scal.minimum,

theano/tests/test_flake8.py

@@ -58,7 +58,6 @@ whitelist_flake8 = [
     "typed_list/tests/test_opt.py",
     "typed_list/tests/test_basic.py",
     "tensor/__init__.py",
-    "tensor/opt_uncanonicalize.py",
     "tensor/blas.py",
     "tensor/extra_ops.py",
     "tensor/nlinalg.py",