update docs

Author: Mike Dirolf

doc/examples/map_reduce.rst

@@ -89,7 +89,7 @@ PyMongo's API supports all of the features of MongoDB's map/reduce engine. One i
 .. doctest::
 
  >>> db.things.map_reduce(map, reduce, full_response=True)
- {u'counts': {u'input': 4, u'emit': 6, u'output': 3}, u'timeMillis': ..., u'ok': True, u'result': u'...'}
+ {u'counts': {u'input': 4, u'emit': 6, u'output': 3}, u'timeMillis': ..., u'ok': ..., u'result': u'...'}
 
 All of the optional map/reduce parameters are also supported, simply pass them as keyword arguments. In this example we use the `query` parameter to limit the documents that will be mapped over:
 

doc/tutorial.rst

@@ -226,8 +226,8 @@ document in the ``posts`` collection:
  ... post
  ...
  {u'date': datetime.datetime(...), u'text': u'My first blog post!', u'_id': ObjectId('...'), u'author': u'Mike', u'tags': [u'mongodb', u'python', u'pymongo']}
- {u'date': datetime.datetime(2009, 11, 12, 11, 14, tzinfo=...), u'text': u'Another post!', u'_id': ObjectId('...'), u'author': u'Mike', u'tags': [u'bulk', u'insert']}
- {u'date': datetime.datetime(2009, 11, 10, 10, 45, tzinfo=...), u'text': u'and pretty easy too!', u'_id': ObjectId('...'), u'author': u'Eliot', u'title': u'MongoDB is fun'}
+ {u'date': datetime.datetime(2009, 11, 12, 11, 14), u'text': u'Another post!', u'_id': ObjectId('...'), u'author': u'Mike', u'tags': [u'bulk', u'insert']}
+ {u'date': datetime.datetime(2009, 11, 10, 10, 45), u'text': u'and pretty easy too!', u'_id': ObjectId('...'), u'author': u'Eliot', u'title': u'MongoDB is fun'}
 
 Just like we did with :meth:`~pymongo.collection.Collection.find_one`,
 we can pass a document to :meth:`~pymongo.collection.Collection.find`
@@ -240,7 +240,7 @@ author is "Mike":
  ... post
  ...
  {u'date': datetime.datetime(...), u'text': u'My first blog post!', u'_id': ObjectId('...'), u'author': u'Mike', u'tags': [u'mongodb', u'python', u'pymongo']}
- {u'date': datetime.datetime(2009, 11, 12, 11, 14, tzinfo=...), u'text': u'Another post!', u'_id': ObjectId('...'), u'author': u'Mike', u'tags': [u'bulk', u'insert']}
+ {u'date': datetime.datetime(2009, 11, 12, 11, 14), u'text': u'Another post!', u'_id': ObjectId('...'), u'author': u'Mike', u'tags': [u'bulk', u'insert']}
 
 Counting
 --------
@@ -274,8 +274,8 @@ than a certain date, but also sort the results by author:
  >>> for post in posts.find({"date": {"$lt": d}}).sort("author"):
  ... post
  ...
- {u'date': datetime.datetime(2009, 11, 10, 10, 45, tzinfo=...), u'text': u'and pretty easy too!', u'_id': ObjectId('...'), u'author': u'Eliot', u'title': u'MongoDB is fun'}
- {u'date': datetime.datetime(2009, 11, 12, 11, 14, tzinfo=...), u'text': u'Another post!', u'_id': ObjectId('...'), u'author': u'Mike', u'tags': [u'bulk', u'insert']}
+ {u'date': datetime.datetime(2009, 11, 10, 10, 45), u'text': u'and pretty easy too!', u'_id': ObjectId('...'), u'author': u'Eliot', u'title': u'MongoDB is fun'}
+ {u'date': datetime.datetime(2009, 11, 12, 11, 14), u'text': u'Another post!', u'_id': ObjectId('...'), u'author': u'Mike', u'tags': [u'bulk', u'insert']}
 
 Here we use the special ``"$lt"`` operator to do a range query, and
 also call :meth:`~pymongo.cursor.Cursor.sort` to sort the results