Upgrade gsutil to 3.4

third_party/gsutil/boto/docs/source/s3_tut.rst

 .. _s3_tut:
 
 ======================================
 An Introduction to boto's S3 interface
 ======================================
 
 This tutorial focuses on the boto interface to the Simple Storage Service
 from Amazon Web Services.  This tutorial assumes that you have already
 downloaded and installed boto.
 
@@ skipping 23 matching lines @@
 >>> conn = boto.connect_s3()
 
 In either case, conn will point to an S3Connection object which we will
 use throughout the remainder of this tutorial.
 
 Creating a Bucket
 -----------------
 
 Once you have a connection established with S3, you will probably want to
 create a bucket.  A bucket is a container used to store key/value pairs
-in S3.  A bucket can hold un unlimited about of data so you could potentially
+in S3.  A bucket can hold an unlimited amount of data so you could potentially
 have just one bucket in S3 for all of your information.  Or, you could create
 separate buckets for different types of data.  You can figure all of that out
 later, first let's just create a bucket.  That can be accomplished like this:
 
 >>> bucket = conn.create_bucket('mybucket')
 Traceback (most recent call last):
   File "<stdin>", line 1, in ?
   File "boto/connection.py", line 285, in create_bucket
     raise S3CreateError(response.status, response.reason)
 boto.exception.S3CreateError: S3Error[409]: Conflict
@@ skipping 181 matching lines @@
 
 This code associates two metadata key/value pairs with the Key k.  To retrieve
 those values later:
 
 >>> k = b.get_key('has_metadata)
 >>> k.get_metadata('meta1')
 'This is the first metadata value'
 >>> k.get_metadata('meta2')
 'This is the second metadata value'
 >>>