Fixed some tests that relied on an arbitrary ordering of rows.

git-svn-id: http://code.djangoproject.com/svn/django/trunk@9800 bcc190cf-cafb-0310-a4f2-bffc1f526a37

tests/regressiontests/aggregation_regress/models.py

@@ -166,18 +166,18 @@ FieldError: Cannot resolve keyword 'foo' into field. Choices are: authors, id, i
 
 # Aggregates can be used with F() expressions
 # ... where the F() is pushed into the HAVING clause
->>> Publisher.objects.annotate(num_books=Count('book')).filter(num_books__lt=F('num_awards')/2).values('name','num_books','num_awards')
-[{'num_books': 2, 'name': u'Prentice Hall', 'num_awards': 7}, {'num_books': 1, 'name': u'Morgan Kaufmann', 'num_awards': 9}]
+>>> Publisher.objects.annotate(num_books=Count('book')).filter(num_books__lt=F('num_awards')/2).order_by('name').values('name','num_books','num_awards')
+[{'num_books': 1, 'name': u'Morgan Kaufmann', 'num_awards': 9}, {'num_books': 2, 'name': u'Prentice Hall', 'num_awards': 7}]
 
->>> Publisher.objects.annotate(num_books=Count('book')).exclude(num_books__lt=F('num_awards')/2).values('name','num_books','num_awards')
-[{'num_books': 2, 'name': u'Apress', 'num_awards': 3}, {'num_books': 1, 'name': u'Sams', 'num_awards': 1}, {'num_books': 0, 'name': u"Jonno's House of Books", 'num_awards': 0}]
+>>> Publisher.objects.annotate(num_books=Count('book')).exclude(num_books__lt=F('num_awards')/2).order_by('name').values('name','num_books','num_awards')
+[{'num_books': 2, 'name': u'Apress', 'num_awards': 3}, {'num_books': 0, 'name': u"Jonno's House of Books", 'num_awards': 0}, {'num_books': 1, 'name': u'Sams', 'num_awards': 1}]
 
 # ... and where the F() references an aggregate
->>> Publisher.objects.annotate(num_books=Count('book')).filter(num_awards__gt=2*F('num_books')).values('name','num_books','num_awards')
-[{'num_books': 2, 'name': u'Prentice Hall', 'num_awards': 7}, {'num_books': 1, 'name': u'Morgan Kaufmann', 'num_awards': 9}]
+>>> Publisher.objects.annotate(num_books=Count('book')).filter(num_awards__gt=2*F('num_books')).order_by('name').values('name','num_books','num_awards')
+[{'num_books': 1, 'name': u'Morgan Kaufmann', 'num_awards': 9}, {'num_books': 2, 'name': u'Prentice Hall', 'num_awards': 7}]
 
->>> Publisher.objects.annotate(num_books=Count('book')).exclude(num_books__lt=F('num_awards')/2).values('name','num_books','num_awards')
-[{'num_books': 2, 'name': u'Apress', 'num_awards': 3}, {'num_books': 1, 'name': u'Sams', 'num_awards': 1}, {'num_books': 0, 'name': u"Jonno's House of Books", 'num_awards': 0}]
+>>> Publisher.objects.annotate(num_books=Count('book')).exclude(num_books__lt=F('num_awards')/2).order_by('name').values('name','num_books','num_awards')
+[{'num_books': 2, 'name': u'Apress', 'num_awards': 3}, {'num_books': 0, 'name': u"Jonno's House of Books", 'num_awards': 0}, {'num_books': 1, 'name': u'Sams', 'num_awards': 1}]
 
 # Regression for #10089: Check handling of empty result sets with aggregates
 >>> Book.objects.filter(id__in=[]).count()