docs: convert print statement to function in docs

cassandra/cluster.py

@@ -990,7 +990,7 @@ def default_retry_policy(self, policy):
     cloud = None
     """
     A dict of the cloud configuration. Example::
-        
+
         {
             # path to the secure connect bundle
             'secure_connect_bundle': '/path/to/secure-connect-dbname.zip',
@@ -1451,7 +1451,7 @@ def __init__(self, street, zipcode):
             # results will include Address instances
             results = session.execute("SELECT * FROM users")
             row = results[0]
-            print row.id, row.location.street, row.location.zipcode
+            print(row.id, row.location.street, row.location.zipcode)
 
         """
         if self.protocol_version < 3:

cassandra/cqlengine/query.py

@@ -286,15 +286,15 @@ class ContextQuery(object):
 
             with ContextQuery(Automobile, keyspace='test2') as A:
                 A.objects.create(manufacturer='honda', year=2008, model='civic')
-                print len(A.objects.all())  # 1 result
+                print(len(A.objects.all()))  # 1 result
 
             with ContextQuery(Automobile, keyspace='test4') as A:
-                print len(A.objects.all())  # 0 result
+                print(len(A.objects.all()))  # 0 result
 
             # Multiple models
             with ContextQuery(Automobile, Automobile2, connection='cluster2') as (A, A2):
-                print len(A.objects.all())
-                print len(A2.objects.all())
+                print(len(A.objects.all()))
+                print(len(A2.objects.all()))
 
     """
 
@@ -809,11 +809,11 @@ class Comment(Model):
 
             print("Normal")
             for comment in Comment.objects(photo_id=u):
-                print comment.comment_id
+                print(comment.comment_id)
 
             print("Reversed")
             for comment in Comment.objects(photo_id=u).order_by("-comment_id"):
-                print comment.comment_id
+                print(comment.comment_id)
         """
         if len(colnames) == 0:
             clone = copy.deepcopy(self)

cassandra/datastax/graph/fluent/__init__.py

@@ -257,7 +257,7 @@ def traversal_source(session=None, graph_name=None, execution_profile=EXEC_PROFI
                 session = c.connect()
 
                 g = DseGraph.traversal_source(session, 'my_graph')
-                print g.V().valueMap().toList()
+                print(g.V().valueMap().toList())
 
             """
 

cassandra/query.py

@@ -77,7 +77,7 @@ def tuple_factory(colnames, rows):
         >>> session = cluster.connect('mykeyspace')
         >>> session.row_factory = tuple_factory
         >>> rows = session.execute("SELECT name, age FROM users LIMIT 1")
-        >>> print rows[0]
+        >>> print(rows[0])
         ('Bob', 42)
 
     .. versionchanged:: 2.0.0
@@ -133,16 +133,16 @@ def named_tuple_factory(colnames, rows):
         >>> user = rows[0]
 
         >>> # you can access field by their name:
-        >>> print "name: %s, age: %d" % (user.name, user.age)
+        >>> print("name: %s, age: %d" % (user.name, user.age))
         name: Bob, age: 42
 
         >>> # or you can access fields by their position (like a tuple)
         >>> name, age = user
-        >>> print "name: %s, age: %d" % (name, age)
+        >>> print("name: %s, age: %d" % (name, age))
         name: Bob, age: 42
         >>> name = user[0]
         >>> age = user[1]
-        >>> print "name: %s, age: %d" % (name, age)
+        >>> print("name: %s, age: %d" % (name, age))
         name: Bob, age: 42
 
     .. versionchanged:: 2.0.0
@@ -188,7 +188,7 @@ def dict_factory(colnames, rows):
         >>> session = cluster.connect('mykeyspace')
         >>> session.row_factory = dict_factory
         >>> rows = session.execute("SELECT name, age FROM users LIMIT 1")
-        >>> print rows[0]
+        >>> print(rows[0])
         {u'age': 42, u'name': u'Bob'}
 
     .. versionchanged:: 2.0.0

docs/api/cassandra/cqlengine/models.rst

@@ -103,7 +103,7 @@ Model
                 TestIfNotExistsModel.if_not_exists().create(id=id, count=9, text='111111111111')
             except LWTException as e:
                 # handle failure case
-                print e.existing  # dict containing LWT result fields
+                print(e.existing  # dict containing LWT result fields)
 
         This method is supported on Cassandra 2.0 or later.
 
@@ -144,7 +144,7 @@ Model
                  t.iff(count=5).update('other text')
             except LWTException as e:
                 # handle failure case
-                print e.existing # existing object
+                print(e.existing # existing object)
 
     .. automethod:: get
 

docs/cqlengine/connections.rst

@@ -99,7 +99,7 @@ You can specify a default connection per model:
         year = columns.Integer(primary_key=True)
         model = columns.Text(primary_key=True)
 
-    print len(Automobile.objects.all())  # executed on the connection 'cluster2'
+    print(len(Automobile.objects.all()))  # executed on the connection 'cluster2'
 
 QuerySet and model instance
 ---------------------------

docs/cqlengine/models.rst

@@ -201,7 +201,7 @@ are only created, presisted, and queried via table Models. A short example to in
 
     users.create(name="Joe", addr=address(street="Easy St.", zipcode=99999))
     user = users.objects(name="Joe")[0]
-    print user.name, user.addr
+    print(user.name, user.addr)
     # Joe address(street=u'Easy St.', zipcode=99999)
 
 UDTs are modeled by inheriting :class:`~.usertype.UserType`, and setting column type attributes. Types are then used in defining

docs/execution_profiles.rst

@@ -43,7 +43,7 @@ Default
     session = cluster.connect()
     local_query = 'SELECT rpc_address FROM system.local'
     for _ in cluster.metadata.all_hosts():
-        print session.execute(local_query)[0]
+        print(session.execute(local_query)[0])
 
 
 .. parsed-literal::
@@ -69,7 +69,7 @@ Initializing cluster with profiles
     profiles = {'node1': node1_profile, 'node2': node2_profile}
     session = Cluster(execution_profiles=profiles).connect()
     for _ in cluster.metadata.all_hosts():
-        print session.execute(local_query, execution_profile='node1')[0]
+        print(session.execute(local_query, execution_profile='node1')[0])
 
 
 .. parsed-literal::
@@ -81,7 +81,7 @@ Initializing cluster with profiles
 .. code:: python
 
     for _ in cluster.metadata.all_hosts():
-        print session.execute(local_query, execution_profile='node2')[0]
+        print(session.execute(local_query, execution_profile='node2')[0])
 
 
 .. parsed-literal::
@@ -93,7 +93,7 @@ Initializing cluster with profiles
 .. code:: python
 
     for _ in cluster.metadata.all_hosts():
-        print session.execute(local_query)[0]
+        print(session.execute(local_query)[0])
 
 
 .. parsed-literal::
@@ -123,7 +123,7 @@ New profiles can be added constructing from scratch, or deriving from default:
     cluster.add_execution_profile(node1_profile, locked_execution)
 
     for _ in cluster.metadata.all_hosts():
-        print session.execute(local_query, execution_profile=node1_profile)[0]
+        print(session.execute(local_query, execution_profile=node1_profile)[0])
 
 
 .. parsed-literal::
@@ -144,8 +144,8 @@ We also have the ability to pass profile instances to be used for execution, but
 
     tmp = session.execution_profile_clone_update('node1', request_timeout=100, row_factory=tuple_factory)
 
-    print session.execute(local_query, execution_profile=tmp)[0]
-    print session.execute(local_query, execution_profile='node1')[0]
+    print(session.execute(local_query, execution_profile=tmp)[0])
+    print(session.execute(local_query, execution_profile='node1')[0])
 
 .. parsed-literal::
 

docs/faq.rst

@@ -44,7 +44,7 @@ Since tracing is done asynchronously to the request, this method polls until the
     >>> result = future.result()
     >>> trace = future.get_query_trace()
     >>> for e in trace.events:
-    >>>     print e.source_elapsed, e.description
+    >>>     print(e.source_elapsed, e.description)
 
     0:00:00.000077 Parsing select * from system.local
     0:00:00.000153 Preparing statement
@@ -67,7 +67,7 @@ With prepared statements, the replicas are obtained by ``routing_key``, based on
     >>> bound = prepared.bind((1,))
     >>> replicas = cluster.metadata.get_replicas(bound.keyspace, bound.routing_key)
     >>> for h in replicas:
-    >>>   print h.address
+    >>>   print(h.address)
     127.0.0.1
     127.0.0.2
 

docs/getting_started.rst

@@ -142,7 +142,7 @@ way to execute a query is to use :meth:`~.Session.execute()`:
 
     rows = session.execute('SELECT name, age, email FROM users')
     for user_row in rows:
-        print user_row.name, user_row.age, user_row.email
+        print(user_row.name, user_row.age, user_row.email)
 
 This will transparently pick a Cassandra node to execute the query against
 and handle any retries that are necessary if the operation fails.
@@ -158,19 +158,19 @@ examples are equivalent:
 
     rows = session.execute('SELECT name, age, email FROM users')
     for row in rows:
-        print row.name, row.age, row.email
+        print(row.name, row.age, row.email)
 
 .. code-block:: python
 
     rows = session.execute('SELECT name, age, email FROM users')
     for (name, age, email) in rows:
-        print name, age, email
+        print(name, age, email)
 
 .. code-block:: python
 
     rows = session.execute('SELECT name, age, email FROM users')
     for row in rows:
-        print row[0], row[1], row[2]
+        print(row[0], row[1], row[2])
 
 If you prefer another result format, such as a ``dict`` per row, you
 can change the :attr:`~.Session.row_factory` attribute.
@@ -358,7 +358,7 @@ For example:
     try:
         rows = future.result()
         user = rows[0]
-        print user.name, user.age
+        print(user.name, user.age)
     except ReadTimeout:
         log.exception("Query timed out:")
 
@@ -375,7 +375,7 @@ This works well for executing many queries concurrently:
     # wait for them to complete and use the results
     for future in futures:
         rows = future.result()
-        print rows[0].name
+        print(rows[0].name)
 
 Alternatively, instead of calling :meth:`~.ResponseFuture.result()`,
 you can attach callback and errback functions through the

docs/graph_fluent.rst

@@ -83,7 +83,7 @@ to accomplish this configuration:
     session = cluster.connect()
 
     g = DseGraph.traversal_source(session)  # Build the GraphTraversalSource
-    print g.V().toList()  # Traverse the Graph
+    print(g.V().toList())  # Traverse the Graph
 
 Note that the execution profile created with :meth:`DseGraph.create_execution_profile <.datastax.graph.fluent.DseGraph.create_execution_profile>` cannot
 be used for any groovy string queries.
@@ -231,11 +231,11 @@ Batch Queries
 
 DSE Graph supports batch queries using a :class:`TraversalBatch <.datastax.graph.fluent.query.TraversalBatch>` object
 instantiated with :meth:`DseGraph.batch <.datastax.graph.fluent.DseGraph.batch>`. A :class:`TraversalBatch <.datastax.graph.fluent.query.TraversalBatch>` allows
-you to execute multiple graph traversals in a single atomic transaction. A 
-traversal batch is executed with :meth:`.Session.execute_graph` or using 
-:meth:`TraversalBatch.execute <.datastax.graph.fluent.query.TraversalBatch.execute>` if bounded to a DSE session. 
+you to execute multiple graph traversals in a single atomic transaction. A
+traversal batch is executed with :meth:`.Session.execute_graph` or using
+:meth:`TraversalBatch.execute <.datastax.graph.fluent.query.TraversalBatch.execute>` if bounded to a DSE session.
 
-Either way you choose to execute the traversal batch, you need to configure 
+Either way you choose to execute the traversal batch, you need to configure
 the execution profile accordingly. Here is a example::
 
     from cassandra.cluster import Cluster

docs/object_mapper.rst

@@ -87,7 +87,7 @@ Getting Started
     >>> q.count()
     4
     >>> for instance in q:
-    >>>     print instance.description
+    >>>     print(instance.description)
     example5
     example6
     example7
@@ -101,5 +101,5 @@ Getting Started
     >>> q2.count()
     1
     >>> for instance in q2:
-    >>>     print instance.description
+    >>>     print(instance.description)
     example5