A few typo fixes

theano/printing.py

@@ -382,8 +382,8 @@ pprint.assign(lambda pstate, r: hasattr(pstate, 'target') and pstate.target is n
 pp = pprint
 
 
-# colors not used: orange, ambre#FFBF00, purple, pink, 
-# used by default: green, bug, grey, red
+# colors not used: orange, ambre#FFBF00, purple, pink,
+# used by default: green, blue, grey, red
 default_colorCodes = {'GpuFromHost' : 'red',
               'HostFromGpu' : 'red',
               'Scan'  : 'yellow',
@@ -428,17 +428,16 @@ def pydotprint(fct, outfile=None,
                 we will print only the variable name.
                 Otherwise, we concatenate the type to the var name.
 
-    In the graph, ellipse are an Apply Node(the execution of an op) and box are variable.
-    If variable have name they are used as the text(if multiple var have the same name, they will be merged in the graph).
-    Otherwise, if the variable is constant, we print the value and finaly we print the type + an uniq number to don't have multiple var merged.
-    We print the op of the apply in the Apply box with a number that represent the toposort order of application of those Apply.
-    If an Apply have more then 1 input, print add a label to the edge that in the index of the inputs.
-
-    green box are inputs to the graph
-    blue box are outputs of the graph
-    grey box are var generated by the graph that are not output and are not used.
-    red ellipses are transfer to/from the gpu.
-        op with those name GpuFromHost, HostFromGpu
+    In the graph, ellipses are Apply Nodes (the execution of an op) and boxes are variables.
+    If variables have names they are used as text (if multiple vars have the same name, they will be merged in the graph).
+    Otherwise, if the variable is constant, we print its value and finally we print the type + a unique number to prevent multiple vars from being merged.
+    We print the op of the apply in the Apply box with a number that represents the toposort order of application of those Apply.
+    If an Apply has more than 1 input, we label each edge between an input and the Apply node with the input's index.
+
+    green boxes are inputs to the graph
+    blue boxes are outputs of the graph
+    grey boxes are vars generated by the graph that are not outputs and are not used
+    red ellipses are transfers from/to the gpu (ops with names GpuFromHost, HostFromGpu)
     """
     if colorCodes is None:
         colorCodes = default_colorCodes

theano/tests/test_printing.py

@@ -36,13 +36,15 @@ def test_pydotprint_cond_highlight():
 
     assert s.getvalue() == 'pydotprint: cond_highlight is set but there is no IfElse node in the graph\n'
 
+
 def test_pydotprint_profile():
-    """ Just check that pydotprint don't crash with ProfileMode"""
+    """Just check that pydotprint does not crash with ProfileMode."""
 
     A = tensor.matrix()
-    f = theano.function([A],A+1,mode='ProfileMode')
+    f = theano.function([A], A+1, mode='ProfileMode')
     theano.printing.pydotprint(f, print_output_file=False)
 
+
 def test_min_informative_str():
     """ evaluates a reference output to make sure the
         min_informative_str function works as intended """