--- a/thirdparty/google_appengine/lib/django/tests/modeltests/lookup/models.py	Sun Sep 06 23:31:53 2009 +0200
+++ /dev/null	Thu Jan 01 00:00:00 1970 +0000
@@ -1,233 +0,0 @@
-"""
-7. The lookup API
-
-This demonstrates features of the database API.
-"""
-
-from django.db import models
-
-class Article(models.Model):
-    headline = models.CharField(maxlength=100)
-    pub_date = models.DateTimeField()
-    class Meta:
-        ordering = ('-pub_date', 'headline')
-
-    def __str__(self):
-        return self.headline
-
-__test__ = {'API_TESTS':r"""
-# Create a couple of Articles.
->>> from datetime import datetime
->>> a1 = Article(headline='Article 1', pub_date=datetime(2005, 7, 26))
->>> a1.save()
->>> a2 = Article(headline='Article 2', pub_date=datetime(2005, 7, 27))
->>> a2.save()
->>> a3 = Article(headline='Article 3', pub_date=datetime(2005, 7, 27))
->>> a3.save()
->>> a4 = Article(headline='Article 4', pub_date=datetime(2005, 7, 28))
->>> a4.save()
->>> a5 = Article(headline='Article 5', pub_date=datetime(2005, 8, 1, 9, 0))
->>> a5.save()
->>> a6 = Article(headline='Article 6', pub_date=datetime(2005, 8, 1, 8, 0))
->>> a6.save()
->>> a7 = Article(headline='Article 7', pub_date=datetime(2005, 7, 27))
->>> a7.save()
-
-# Each QuerySet gets iterator(), which is a generator that "lazily" returns
-# results using database-level iteration.
->>> for a in Article.objects.iterator():
-...     print a.headline
-Article 5
-Article 6
-Article 4
-Article 2
-Article 3
-Article 7
-Article 1
-
-# iterator() can be used on any QuerySet.
->>> for a in Article.objects.filter(headline__endswith='4').iterator():
-...     print a.headline
-Article 4
-
-# count() returns the number of objects matching search criteria.
->>> Article.objects.count()
-7L
->>> Article.objects.filter(pub_date__exact=datetime(2005, 7, 27)).count()
-3L
->>> Article.objects.filter(headline__startswith='Blah blah').count()
-0L
-
-# count() should respect sliced query sets.
->>> articles = Article.objects.all()
->>> articles.count()
-7L
->>> articles[:4].count()
-4
->>> articles[1:100].count()
-6L
->>> articles[10:100].count()
-0
-
-# Date and date/time lookups can also be done with strings.
->>> Article.objects.filter(pub_date__exact='2005-07-27 00:00:00').count()
-3L
-
-# in_bulk() takes a list of IDs and returns a dictionary mapping IDs
-# to objects.
->>> Article.objects.in_bulk([1, 2])
-{1: <Article: Article 1>, 2: <Article: Article 2>}
->>> Article.objects.in_bulk([3])
-{3: <Article: Article 3>}
->>> Article.objects.in_bulk([1000])
-{}
->>> Article.objects.in_bulk([])
-{}
->>> Article.objects.in_bulk('foo')
-Traceback (most recent call last):
-    ...
-AssertionError: in_bulk() must be provided with a list of IDs.
->>> Article.objects.in_bulk()
-Traceback (most recent call last):
-    ...
-TypeError: in_bulk() takes exactly 2 arguments (1 given)
->>> Article.objects.in_bulk(headline__startswith='Blah')
-Traceback (most recent call last):
-    ...
-TypeError: in_bulk() got an unexpected keyword argument 'headline__startswith'
-
-# values() returns a list of dictionaries instead of object instances -- and
-# you can specify which fields you want to retrieve.
->>> Article.objects.values('headline')
-[{'headline': 'Article 5'}, {'headline': 'Article 6'}, {'headline': 'Article 4'}, {'headline': 'Article 2'}, {'headline': 'Article 3'}, {'headline': 'Article 7'}, {'headline': 'Article 1'}]
->>> Article.objects.filter(pub_date__exact=datetime(2005, 7, 27)).values('id')
-[{'id': 2}, {'id': 3}, {'id': 7}]
->>> list(Article.objects.values('id', 'headline')) == [{'id': 5, 'headline': 'Article 5'}, {'id': 6, 'headline': 'Article 6'}, {'id': 4, 'headline': 'Article 4'}, {'id': 2, 'headline': 'Article 2'}, {'id': 3, 'headline': 'Article 3'}, {'id': 7, 'headline': 'Article 7'}, {'id': 1, 'headline': 'Article 1'}]
-True
-
->>> for d in Article.objects.values('id', 'headline'):
-...     i = d.items()
-...     i.sort()
-...     i
-[('headline', 'Article 5'), ('id', 5)]
-[('headline', 'Article 6'), ('id', 6)]
-[('headline', 'Article 4'), ('id', 4)]
-[('headline', 'Article 2'), ('id', 2)]
-[('headline', 'Article 3'), ('id', 3)]
-[('headline', 'Article 7'), ('id', 7)]
-[('headline', 'Article 1'), ('id', 1)]
-
-# You can use values() with iterator() for memory savings, because iterator()
-# uses database-level iteration.
->>> for d in Article.objects.values('id', 'headline').iterator():
-...     i = d.items()
-...     i.sort()
-...     i
-[('headline', 'Article 5'), ('id', 5)]
-[('headline', 'Article 6'), ('id', 6)]
-[('headline', 'Article 4'), ('id', 4)]
-[('headline', 'Article 2'), ('id', 2)]
-[('headline', 'Article 3'), ('id', 3)]
-[('headline', 'Article 7'), ('id', 7)]
-[('headline', 'Article 1'), ('id', 1)]
-
-# if you don't specify which fields, all are returned
->>> list(Article.objects.filter(id=5).values()) == [{'id': 5, 'headline': 'Article 5', 'pub_date': datetime(2005, 8, 1, 9, 0)}]
-True
-
-# Every DateField and DateTimeField creates get_next_by_FOO() and
-# get_previous_by_FOO() methods.
-# In the case of identical date values, these methods will use the ID as a
-# fallback check. This guarantees that no records are skipped or duplicated.
->>> a1.get_next_by_pub_date()
-<Article: Article 2>
->>> a2.get_next_by_pub_date()
-<Article: Article 3>
->>> a2.get_next_by_pub_date(headline__endswith='6')
-<Article: Article 6>
->>> a3.get_next_by_pub_date()
-<Article: Article 7>
->>> a4.get_next_by_pub_date()
-<Article: Article 6>
->>> a5.get_next_by_pub_date()
-Traceback (most recent call last):
-    ...
-DoesNotExist: Article matching query does not exist.
->>> a6.get_next_by_pub_date()
-<Article: Article 5>
->>> a7.get_next_by_pub_date()
-<Article: Article 4>
-
->>> a7.get_previous_by_pub_date()
-<Article: Article 3>
->>> a6.get_previous_by_pub_date()
-<Article: Article 4>
->>> a5.get_previous_by_pub_date()
-<Article: Article 6>
->>> a4.get_previous_by_pub_date()
-<Article: Article 7>
->>> a3.get_previous_by_pub_date()
-<Article: Article 2>
->>> a2.get_previous_by_pub_date()
-<Article: Article 1>
-
-# Underscores and percent signs have special meaning in the underlying
-# SQL code, but Django handles the quoting of them automatically.
->>> a8 = Article(headline='Article_ with underscore', pub_date=datetime(2005, 11, 20))
->>> a8.save()
->>> Article.objects.filter(headline__startswith='Article')
-[<Article: Article_ with underscore>, <Article: Article 5>, <Article: Article 6>, <Article: Article 4>, <Article: Article 2>, <Article: Article 3>, <Article: Article 7>, <Article: Article 1>]
->>> Article.objects.filter(headline__startswith='Article_')
-[<Article: Article_ with underscore>]
-
->>> a9 = Article(headline='Article% with percent sign', pub_date=datetime(2005, 11, 21))
->>> a9.save()
->>> Article.objects.filter(headline__startswith='Article')
-[<Article: Article% with percent sign>, <Article: Article_ with underscore>, <Article: Article 5>, <Article: Article 6>, <Article: Article 4>, <Article: Article 2>, <Article: Article 3>, <Article: Article 7>, <Article: Article 1>]
->>> Article.objects.filter(headline__startswith='Article%')
-[<Article: Article% with percent sign>]
-
-# exclude() is the opposite of filter() when doing lookups:
->>> Article.objects.filter(headline__contains='Article').exclude(headline__contains='with')
-[<Article: Article 5>, <Article: Article 6>, <Article: Article 4>, <Article: Article 2>, <Article: Article 3>, <Article: Article 7>, <Article: Article 1>]
->>> Article.objects.exclude(headline__startswith="Article_")
-[<Article: Article% with percent sign>, <Article: Article 5>, <Article: Article 6>, <Article: Article 4>, <Article: Article 2>, <Article: Article 3>, <Article: Article 7>, <Article: Article 1>]
->>> Article.objects.exclude(headline="Article 7")
-[<Article: Article% with percent sign>, <Article: Article_ with underscore>, <Article: Article 5>, <Article: Article 6>, <Article: Article 4>, <Article: Article 2>, <Article: Article 3>, <Article: Article 1>]
-
-# Backslashes also have special meaning in the underlying SQL code, but Django
-# automatically quotes them appropriately.
->>> a10 = Article(headline='Article with \\ backslash', pub_date=datetime(2005, 11, 22))
->>> a10.save()
->>> Article.objects.filter(headline__contains='\\')
-[<Article: Article with \ backslash>]
-
-# none() returns an EmptyQuerySet that behaves like any other QuerySet object
->>> Article.objects.none()
-[]
->>> Article.objects.none().filter(headline__startswith='Article')
-[]
->>> Article.objects.none().count()
-0
->>> [article for article in Article.objects.none().iterator()]
-[]
-
-# using __in with an empty list should return an empty query set
->>> Article.objects.filter(id__in=[])
-[]
-
->>> Article.objects.exclude(id__in=[])
-[<Article: Article with \ backslash>, <Article: Article% with percent sign>, <Article: Article_ with underscore>, <Article: Article 5>, <Article: Article 6>, <Article: Article 4>, <Article: Article 2>, <Article: Article 3>, <Article: Article 7>, <Article: Article 1>]
-
-# Programming errors are pointed out with nice error messages
->>> Article.objects.filter(pub_date_year='2005').count()
-Traceback (most recent call last):
-    ...
-TypeError: Cannot resolve keyword 'pub_date_year' into field
-
->>> Article.objects.filter(headline__starts='Article')
-Traceback (most recent call last):
-    ...
-TypeError: Cannot resolve keyword 'headline__starts' into field
-
-"""}