mirror of https://github.com/django/django.git
Fixed #13357 -- Minor changes to get Django running under PyPy. Thanks to Alex Gaynor for the patch.
git-svn-id: http://code.djangoproject.com/svn/django/trunk@12991 bcc190cf-cafb-0310-a4f2-bffc1f526a37
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@ -73,7 +73,9 @@ class BaseModelAdmin(object):
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readonly_fields = ()
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def __init__(self):
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self.formfield_overrides = dict(FORMFIELD_FOR_DBFIELD_DEFAULTS, **self.formfield_overrides)
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overrides = FORMFIELD_FOR_DBFIELD_DEFAULTS.copy()
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overrides.update(self.formfield_overrides)
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self.formfield_overrides = overrides
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def formfield_for_dbfield(self, db_field, **kwargs):
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"""
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@ -42,13 +42,15 @@ class CacheClass(BaseCache):
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fname = self._key_to_file(key)
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try:
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f = open(fname, 'rb')
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try:
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exp = pickle.load(f)
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now = time.time()
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if exp < now:
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f.close()
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self._delete(fname)
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else:
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return pickle.load(f)
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finally:
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f.close()
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except (IOError, OSError, EOFError, pickle.PickleError):
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pass
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return default
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@ -67,9 +69,12 @@ class CacheClass(BaseCache):
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os.makedirs(dirname)
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f = open(fname, 'wb')
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try:
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now = time.time()
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pickle.dump(now + timeout, f, pickle.HIGHEST_PROTOCOL)
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pickle.dump(value, f, pickle.HIGHEST_PROTOCOL)
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finally:
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f.close()
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except (IOError, OSError):
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pass
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@ -93,14 +98,16 @@ class CacheClass(BaseCache):
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fname = self._key_to_file(key)
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try:
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f = open(fname, 'rb')
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try:
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exp = pickle.load(f)
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now = time.time()
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if exp < now:
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f.close()
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self._delete(fname)
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return False
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else:
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return True
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finally:
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f.close()
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except (IOError, OSError, EOFError, pickle.PickleError):
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return False
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@ -191,8 +191,8 @@ u'The Definitive Guide to Django: Web Development Done Right'
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# Calling values on a queryset that has annotations returns the output
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# as a dictionary
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>>> Book.objects.filter(pk=1).annotate(mean_age=Avg('authors__age')).values()
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[{'rating': 4.5, 'isbn': u'159059725', 'name': u'The Definitive Guide to Django: Web Development Done Right', 'pubdate': datetime.date(2007, 12, 6), 'price': Decimal("30..."), 'contact_id': 1, 'id': 1, 'publisher_id': 1, 'pages': 447, 'mean_age': 34.5}]
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>>> [sorted(o.iteritems()) for o in Book.objects.filter(pk=1).annotate(mean_age=Avg('authors__age')).values()]
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[[('contact_id', 1), ('id', 1), ('isbn', u'159059725'), ('mean_age', 34.5), ('name', u'The Definitive Guide to Django: Web Development Done Right'), ('pages', 447), ('price', Decimal("30...")), ('pubdate', datetime.date(2007, 12, 6)), ('publisher_id', 1), ('rating', 4.5)]]
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>>> Book.objects.filter(pk=1).annotate(mean_age=Avg('authors__age')).values('pk', 'isbn', 'mean_age')
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[{'pk': 1, 'isbn': u'159059725', 'mean_age': 34.5}]
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@ -203,8 +203,8 @@ u'The Definitive Guide to Django: Web Development Done Right'
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# An empty values() call before annotating has the same effect as an
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# empty values() call after annotating
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>>> Book.objects.filter(pk=1).values().annotate(mean_age=Avg('authors__age'))
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[{'rating': 4.5, 'isbn': u'159059725', 'name': u'The Definitive Guide to Django: Web Development Done Right', 'pubdate': datetime.date(2007, 12, 6), 'price': Decimal("30..."), 'contact_id': 1, 'id': 1, 'publisher_id': 1, 'pages': 447, 'mean_age': 34.5}]
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>>> [sorted(o.iteritems()) for o in Book.objects.filter(pk=1).values().annotate(mean_age=Avg('authors__age'))]
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[[('contact_id', 1), ('id', 1), ('isbn', u'159059725'), ('mean_age', 34.5), ('name', u'The Definitive Guide to Django: Web Development Done Right'), ('pages', 447), ('price', Decimal("30...")), ('pubdate', datetime.date(2007, 12, 6)), ('publisher_id', 1), ('rating', 4.5)]]
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# Calling annotate() on a ValuesQuerySet annotates over the groups of
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# fields to be selected by the ValuesQuerySet.
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@ -127,6 +127,6 @@ FieldError: Joined field references are not permitted in this query
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>>> acme.save()
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Traceback (most recent call last):
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...
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TypeError: int() argument must be a string or a number...
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TypeError: ...
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"""}
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@ -174,8 +174,8 @@ FieldError: Cannot resolve keyword 'foo' into field. Choices are: authors, conta
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{'number': 1132, 'select': 1132}
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# Regression for #10064: select_related() plays nice with aggregates
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>>> Book.objects.select_related('publisher').annotate(num_authors=Count('authors')).values()[0]
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{'rating': 4.0, 'isbn': u'013790395', 'name': u'Artificial Intelligence: A Modern Approach', 'pubdate': datetime.date(1995, 1, 15), 'price': Decimal("82.8..."), 'contact_id': 8, 'id': 5, 'num_authors': 2, 'publisher_id': 3, 'pages': 1132}
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>>> sorted(Book.objects.select_related('publisher').annotate(num_authors=Count('authors')).values()[0].iteritems())
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[('contact_id', 8), ('id', 5), ('isbn', u'013790395'), ('name', u'Artificial Intelligence: A Modern Approach'), ('num_authors', 2), ('pages', 1132), ('price', Decimal("82.8...")), ('pubdate', datetime.date(1995, 1, 15)), ('publisher_id', 3), ('rating', 4.0)]
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# Regression for #10010: exclude on an aggregate field is correctly negated
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>>> len(Book.objects.annotate(num_authors=Count('authors')))
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@ -219,8 +219,8 @@ FieldError: Cannot resolve keyword 'foo' into field. Choices are: authors, conta
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>>> Book.objects.filter(id__in=[]).aggregate(num_authors=Count('authors'), avg_authors=Avg('authors'), max_authors=Max('authors'), max_price=Max('price'), max_rating=Max('rating'))
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{'max_authors': None, 'max_rating': None, 'num_authors': 0, 'avg_authors': None, 'max_price': None}
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>>> Publisher.objects.filter(pk=5).annotate(num_authors=Count('book__authors'), avg_authors=Avg('book__authors'), max_authors=Max('book__authors'), max_price=Max('book__price'), max_rating=Max('book__rating')).values()
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[{'max_authors': None, 'name': u"Jonno's House of Books", 'num_awards': 0, 'max_price': None, 'num_authors': 0, 'max_rating': None, 'id': 5, 'avg_authors': None}]
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>>> list(Publisher.objects.filter(pk=5).annotate(num_authors=Count('book__authors'), avg_authors=Avg('book__authors'), max_authors=Max('book__authors'), max_price=Max('book__price'), max_rating=Max('book__rating')).values()) == [{'max_authors': None, 'name': u"Jonno's House of Books", 'num_awards': 0, 'max_price': None, 'num_authors': 0, 'max_rating': None, 'id': 5, 'avg_authors': None}]
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True
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# Regression for #10113 - Fields mentioned in order_by() must be included in the GROUP BY.
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# This only becomes a problem when the order_by introduces a new join.
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