flake8 for multinomial.py

theano/sandbox/multinomial.py

@@ -155,7 +155,6 @@ class MultinomialFromUniform(Op):
             unis_n = unis[n]
 
             for m in range(nb_outcomes):
-                z_nm = z[0][n, m]
                 cummul += pvals[n, m]
                 if (waiting and (cummul > unis_n)):
                     z[0][n, m] = 1
@@ -356,8 +355,8 @@ def local_gpu_multinomial(node):
             return [host_from_gpu(gpu_op(*[gpu_from_host(i)
                                            for i in node.inputs])).T]
     if (isinstance(node.op, theano.sandbox.cuda.GpuFromHost) and
-        node.inputs[0].owner and type(node.inputs[0].owner.op)
-        is MultinomialFromUniform):
+            node.inputs[0].owner and
+            type(node.inputs[0].owner.op) is MultinomialFromUniform):
         multi = node.inputs[0].owner
         p, u = multi.inputs
         m, = multi.outputs

theano/tests/test_flake8.py

@@ -137,7 +137,6 @@ whitelist_flake8 = [
     "sandbox/rng_mrg.py",
     "sandbox/theano_object.py",
     "sandbox/scan.py",
-    "sandbox/multinomial.py",
     "sandbox/neighbourhoods.py",
     "sandbox/fourier.py",
     "sandbox/test_multinomial.py",