flake8 for tensor/slinalg.py

theano/tensor/slinalg.py

 import logging
-
-logger = logging.getLogger(__name__)
-import numpy
 import warnings
 from six.moves import xrange
 
-from theano.gof import Op, Apply
-
-from theano.tensor import as_tensor_variable, dot, DimShuffle, Dot
-from theano.tensor.blas import Dot22
-from theano import tensor
-import theano.tensor
-from theano.tensor.opt import (register_stabilize,
-        register_specialize, register_canonicalize)
-from theano.gof import local_optimizer
-from theano.gof.opt import Optimizer
-from theano.gradient import DisconnectedType
+import numpy
 
 try:
     import scipy.linalg
@@ -24,6 +11,13 @@ except ImportError:
     # some ops (e.g. Cholesky, Solve, A_Xinv_b) won't work
     imported_scipy = False
 
+from theano import tensor
+import theano.tensor
+from theano.tensor import as_tensor_variable
+from theano.gof import Op, Apply
+
+logger = logging.getLogger(__name__)
+
 MATRIX_STRUCTURES = (
     'general',
     'symmetric',
@@ -123,7 +117,6 @@ class CholeskyGrad(Op):
                 F[k, k] /= (2 * L[k, k])
         else:
             F = numpy.triu(dz)
-            M = N - 1
             for k in xrange(N - 1, -1, -1):
                 for j in xrange(k + 1, N):
                     for i in xrange(j, N):

theano/tests/test_flake8.py

@@ -57,7 +57,6 @@ whitelist_flake8 = [
     "typed_list/tests/test_type.py",
     "typed_list/tests/test_opt.py",
     "typed_list/tests/test_basic.py",
-    "tensor/slinalg.py",
     "tensor/shared_randomstreams.py",
     "tensor/subtensor.py",
     "tensor/elemwise.py",