Index: Doc/library/collections.rst
===================================================================
--- Doc/library/collections.rst	(revision 86561)
+++ Doc/library/collections.rst	(working copy)
@@ -52,7 +52,8 @@
 
     >>> # Find the ten most common words in Hamlet
     >>> import re
-    >>> words = re.findall('\w+', open('hamlet.txt').read().lower())
+    >>> with open('hamlet.txt') as f:
+    ...     words = re.findall(r'\w+', f.read().lower())
     >>> Counter(words).most_common(10)
     [('the', 1143), ('and', 966), ('to', 762), ('of', 669), ('i', 631),
      ('you', 554),  ('a', 546), ('my', 514), ('hamlet', 471), ('in', 451)]
@@ -398,7 +399,8 @@
 
    def tail(filename, n=10):
        'Return the last n lines of a file'
-       return deque(open(filename), n)
+       with open(filename) as f:
+           return deque(f, n)
 
 Another approach to using deques is to maintain a sequence of recently
 added elements by appending to the right and popping to the left::
@@ -650,8 +652,9 @@
    EmployeeRecord = namedtuple('EmployeeRecord', 'name, age, title, department, paygrade')
 
    import csv
-   for emp in map(EmployeeRecord._make, csv.reader(open("employees.csv", "rb"))):
-       print(emp.name, emp.title)
+   with open('employees.csv', 'rb') as f:
+       for emp in map(EmployeeRecord._make, csv.reader(f)):
+           print(emp.name, emp.title)
 
    import sqlite3
    conn = sqlite3.connect('/companydata')