Don't catch interupt and remove import not used.

theano/printing.py

@@ -702,7 +702,7 @@ def pydotprint_variables(vars,
                                config.device + '.' + format)
     try:
         import pydot as pd
-    except:
+    except ImportError:
         print "failed to import pydot. Yous must install pydot for this function to work."
         return
     g=pd.Dot()

theano/sandbox/cuda/nvcc_compiler.py

@@ -264,7 +264,7 @@ def nvcc_module_compile_str(
                     continue
                 if l[l.index(':'):].startswith(': warning: label'):
                     continue
-            except:
+            except Exception:
                 pass
             print >> sys.stderr, l
         print >> sys.stderr, '==============================='

theano/sandbox/cuda/tests/walltime.py

 import sys, time
-from theano.compile.sharedvalue import shared
 from theano.compile.pfunc import pfunc
 from theano import tensor
 
 import numpy
 
 import theano.sandbox.cuda as tcn
-from theano.sandbox.cuda.basic_ops import host_from_gpu, gpu_from_host
 
 def compare_fns(fns, input, reps=10):
     times = {}
@@ -15,7 +13,7 @@ def compare_fns(fns, input, reps=10):
             print 'TOPOSORT', implname
             for i, n in enumerate(impl.maker.env.toposort()):
                 print i, n
-        except:
+        except Exception:
             pass
         t0 = time.time()
         for i in xrange(reps):

theano/sandbox/linalg/ops.py

@@ -12,7 +12,7 @@ from theano.gof.opt import Optimizer
 
 try:
     import scipy.linalg
-except:
+except ImportError:
     pass # some ops (e.g. Cholesky) won't work
 
 class Hint(Op):

theano/sandbox/symbolic_module.py

@@ -61,7 +61,7 @@ class SymbolicModule(object):
 def issymbolicmodule(thing):
     try:
         return issubclass(thing, SymbolicModule)
-    except:
+    except Exception:
         return False
 
 def issymbolicmethod(thing):

theano/scan_module/scan_op.py

@@ -1104,7 +1104,7 @@ class Scan(PureOp):
                     # states) it is more of a safety check ( all random
                     # states should be after n_outs_not_shared ...
                     g_outs[i] = tensor.zeros_like(scan_outputs[i])
-                except:
+                except Exception:
                     g_outs[i] = theano.tensor.constant(
                         numpy.array(0, theano.config.floatX))