do 100 queries per insert instead of 1000 after all inserts.

this increases cpython time on _imperative.py to ~2 seconds (and lowers pyston's % from ~480% to ~380%).
the declarative benchmark takes 10 seconds for cpython with this change, but it doesn't work on pyston at all yet.

minibenchmarks/sqlalchemy_declarative.py

@@ -64,9 +64,8 @@ for i in xrange(100):
     session.add(new_address)
     session.commit()
 
-
-# now do 1000 queries
-for i in xrange(1000):
-    session.query(Person).all()
+    # do 100 queries per insert
+    for i in xrange(100):
+        session.query(Person).all()
 
 print "done"

minibenchmarks/sqlalchemy_imperative.py

@@ -56,10 +56,9 @@ for i in xrange(100):
     new_address = Address.insert()
     new_address.execute(post_code='00000')#, person=new_person)
 
-
-# now do 1000 queries
-for i in xrange(1000):
-    s = Person.select()
-    rs = s.execute()
+    # do 100 queries per insert
+    for i in xrange(100):
+        s = Person.select()
+        rs = s.execute()
 
 print "done"