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Commit c64281cf authored by Jeremy Hylton's avatar Jeremy Hylton
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Merging latest PersistentMapping from the Standalone-1_0-branch. 

As the checkin message on the branch said, this should make the new
code work correctly using pickles generated by the old code.
parent cd33dca8
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Showing with 171 additions and 219 deletions
src/Persistence/PersistentMapping.py
View file @ c64281cf
##############################################################################
#
# Copyright (c) 2001 Zope Corporation and Contributors. All Rights Reserved.
#
# Copyright (c) 2001 Zope Corporation and Contributors. All Rights Reserved.
#
# This software is subject to the provisions of the Zope Public License,
# Version 2.0 (ZPL). A copy of the ZPL should accompany this distribution.
# THIS SOFTWARE IS PROVIDED "AS IS" AND ANY AND ALL EXPRESS OR IMPLIED
# WARRANTIES ARE DISCLAIMED, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED
# WARRANTIES OF TITLE, MERCHANTABILITY, AGAINST INFRINGEMENT, AND FITNESS
# FOR A PARTICULAR PURPOSE
#
##############################################################################
__doc__='''Python implementation of persistent base types
# Version 1.1 (ZPL). A copy of the ZPL should accompany this
# distribution. THIS SOFTWARE IS PROVIDED "AS IS" AND ANY AND ALL
# EXPRESS OR IMPLIED WARRANTIES ARE DISCLAIMED, INCLUDING, BUT NOT
# LIMITED TO, THE IMPLIED WARRANTIES OF TITLE, MERCHANTABILITY, AGAINST
# INFRINGEMENT, AND FITNESS FOR A PARTICULAR PURPOSE.
"""Python implementation of persistent base types
$Id: PersistentMapping.py,v 1.15 2001/11/28 22:20:11 chrism Exp $'''
__version__='$Revision: 1.15 $'[11:-2]
$Id: PersistentMapping.py,v 1.16 2001/11/28 23:59:02 jeremy Exp $"""
__version__='$Revision: 1.16 $'[11:-2]
import Persistence
import types
from UserDict import UserDict
_marker=[]
class PersistentMapping(Persistence.Persistent):
class PersistentMapping(UserDict, Persistence.Persistent):
"""A persistent wrapper for mapping objects.
This class allows wrapping of mapping objects so that
object changes are registered. As a side effect,
mapping objects may be subclassed.
This class allows wrapping of mapping objects so that object
changes are registered. As a side effect, mapping objects may be
subclassed.
"""
def __init__(self,container=None):
if container is None: container={}
self._container=container
__super_delitem = UserDict.__delitem__
__super_setitem = UserDict.__setitem__
__super_clear = UserDict.clear
__super_update = UserDict.update
__super_setdefault = UserDict.setdefault
__super_popitem = UserDict.popitem
def __setstate__(self, state):
# The old PersistentMapping used _container to hold the data.
# We need to make the current code work with objects pickled
# using the old code. Unfortunately, this forces us to expose
# the rep of UserDict, because __init__() won't be called when
# a pickled object is being loaded.
if state.has_key('_container'):
assert not state.has_key('data'), \
("object state has _container and data attributes: %s"
% repr(state))
self.data = state['_container']
del state['_container']
for k, v in state.items():
self.__dict__[k] = v
def __delitem__(self, key):
del self._container[key]
try: del self._v_keys
except: pass
self.__changed__(1)
def __getitem__(self, key):
return self._container[key]
def __len__(self): return len(self._container)
self.__super_delitem(key)
self._p_changed = 1
def __setitem__(self, key, v):
self._container[key]=v
try: del self._v_keys
except: pass
self.__changed__(1)
self.__super_setitem(key, v)
self._p_changed = 1
def clear(self):
self._container.clear()
self._p_changed=1
if hasattr(self,'_v_keys'): del self._v_keys
def copy(self): return self.__class__(self._container.copy())
def get(self, key, default=_marker):
if default is _marker:
return self._container.get(key)
else:
return self._container.get(key, default)
def has_key(self,key): return self._container.has_key(key)
def items(self):
return map(lambda k, d=self: (k,d[k]), self.keys())
def keys(self):
try: return list(self._v_keys) # return a copy (Collector 2283)
except: pass
keys=self._v_keys=filter(
lambda k: not isinstance(k,types.StringType) or k[:1]!='_',
self._container.keys())
keys.sort()
return list(keys)
self.__super_clear()
self._p_changed = 1
def update(self, b):
a=self._container
for k, v in b.items(): a[k] = v
try: del self._v_keys
except: pass
self._p_changed=1
def values(self):
return map(lambda k, d=self: d[k], self.keys())
def __cmp__(self,other):
return cmp(self._container, other._container)
self.__super_update(b)
self._p_changed = 1
def setdefault(self, key, failobj=None):
# We could inline all of UserDict's implementation into the
# method here, but I'd rather not depend at all on the
# implementation in UserDict (simple as it is).
if not self.has_key(key):
self._p_changed = 1
return self.__super_setdefault(key, failobj)
def popitem(self):
self._p_changed = 1
return self.__super_popitem()
src/ZODB/PersistentMapping.py
View file @ c64281cf
##############################################################################
#
# Copyright (c) 2001 Zope Corporation and Contributors. All Rights Reserved.
#
# Copyright (c) 2001 Zope Corporation and Contributors. All Rights Reserved.
#
# This software is subject to the provisions of the Zope Public License,
# Version 2.0 (ZPL). A copy of the ZPL should accompany this distribution.
# THIS SOFTWARE IS PROVIDED "AS IS" AND ANY AND ALL EXPRESS OR IMPLIED
# WARRANTIES ARE DISCLAIMED, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED
# WARRANTIES OF TITLE, MERCHANTABILITY, AGAINST INFRINGEMENT, AND FITNESS
# FOR A PARTICULAR PURPOSE
#
##############################################################################
__doc__='''Python implementation of persistent base types
# Version 1.1 (ZPL). A copy of the ZPL should accompany this
# distribution. THIS SOFTWARE IS PROVIDED "AS IS" AND ANY AND ALL
# EXPRESS OR IMPLIED WARRANTIES ARE DISCLAIMED, INCLUDING, BUT NOT
# LIMITED TO, THE IMPLIED WARRANTIES OF TITLE, MERCHANTABILITY, AGAINST
# INFRINGEMENT, AND FITNESS FOR A PARTICULAR PURPOSE.
"""Python implementation of persistent base types
$Id: PersistentMapping.py,v 1.15 2001/11/28 22:20:11 chrism Exp $'''
__version__='$Revision: 1.15 $'[11:-2]
$Id: PersistentMapping.py,v 1.16 2001/11/28 23:59:02 jeremy Exp $"""
__version__='$Revision: 1.16 $'[11:-2]
import Persistence
import types
from UserDict import UserDict
_marker=[]
class PersistentMapping(Persistence.Persistent):
class PersistentMapping(UserDict, Persistence.Persistent):
"""A persistent wrapper for mapping objects.
This class allows wrapping of mapping objects so that
object changes are registered. As a side effect,
mapping objects may be subclassed.
This class allows wrapping of mapping objects so that object
changes are registered. As a side effect, mapping objects may be
subclassed.
"""
def __init__(self,container=None):
if container is None: container={}
self._container=container
__super_delitem = UserDict.__delitem__
__super_setitem = UserDict.__setitem__
__super_clear = UserDict.clear
__super_update = UserDict.update
__super_setdefault = UserDict.setdefault
__super_popitem = UserDict.popitem
def __setstate__(self, state):
# The old PersistentMapping used _container to hold the data.
# We need to make the current code work with objects pickled
# using the old code. Unfortunately, this forces us to expose
# the rep of UserDict, because __init__() won't be called when
# a pickled object is being loaded.
if state.has_key('_container'):
assert not state.has_key('data'), \
("object state has _container and data attributes: %s"
% repr(state))
self.data = state['_container']
del state['_container']
for k, v in state.items():
self.__dict__[k] = v
def __delitem__(self, key):
del self._container[key]
try: del self._v_keys
except: pass
self.__changed__(1)
def __getitem__(self, key):
return self._container[key]
def __len__(self): return len(self._container)
self.__super_delitem(key)
self._p_changed = 1
def __setitem__(self, key, v):
self._container[key]=v
try: del self._v_keys
except: pass
self.__changed__(1)
self.__super_setitem(key, v)
self._p_changed = 1
def clear(self):
self._container.clear()
self._p_changed=1
if hasattr(self,'_v_keys'): del self._v_keys
def copy(self): return self.__class__(self._container.copy())
def get(self, key, default=_marker):
if default is _marker:
return self._container.get(key)
else:
return self._container.get(key, default)
def has_key(self,key): return self._container.has_key(key)
def items(self):
return map(lambda k, d=self: (k,d[k]), self.keys())
def keys(self):
try: return list(self._v_keys) # return a copy (Collector 2283)
except: pass
keys=self._v_keys=filter(
lambda k: not isinstance(k,types.StringType) or k[:1]!='_',
self._container.keys())
keys.sort()
return list(keys)
self.__super_clear()
self._p_changed = 1
def update(self, b):
a=self._container
for k, v in b.items(): a[k] = v
try: del self._v_keys
except: pass
self._p_changed=1
def values(self):
return map(lambda k, d=self: d[k], self.keys())
def __cmp__(self,other):
return cmp(self._container, other._container)
self.__super_update(b)
self._p_changed = 1
def setdefault(self, key, failobj=None):
# We could inline all of UserDict's implementation into the
# method here, but I'd rather not depend at all on the
# implementation in UserDict (simple as it is).
if not self.has_key(key):
self._p_changed = 1
return self.__super_setdefault(key, failobj)
def popitem(self):
self._p_changed = 1
return self.__super_popitem()
src/persistent/mapping.py
View file @ c64281cf
##############################################################################
#
# Copyright (c) 2001 Zope Corporation and Contributors. All Rights Reserved.
#
# Copyright (c) 2001 Zope Corporation and Contributors. All Rights Reserved.
#
# This software is subject to the provisions of the Zope Public License,
# Version 2.0 (ZPL). A copy of the ZPL should accompany this distribution.
# THIS SOFTWARE IS PROVIDED "AS IS" AND ANY AND ALL EXPRESS OR IMPLIED
# WARRANTIES ARE DISCLAIMED, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED
# WARRANTIES OF TITLE, MERCHANTABILITY, AGAINST INFRINGEMENT, AND FITNESS
# FOR A PARTICULAR PURPOSE
#
##############################################################################
__doc__='''Python implementation of persistent base types
# Version 1.1 (ZPL). A copy of the ZPL should accompany this
# distribution. THIS SOFTWARE IS PROVIDED "AS IS" AND ANY AND ALL
# EXPRESS OR IMPLIED WARRANTIES ARE DISCLAIMED, INCLUDING, BUT NOT
# LIMITED TO, THE IMPLIED WARRANTIES OF TITLE, MERCHANTABILITY, AGAINST
# INFRINGEMENT, AND FITNESS FOR A PARTICULAR PURPOSE.
"""Python implementation of persistent base types
$Id: mapping.py,v 1.15 2001/11/28 22:20:11 chrism Exp $'''
__version__='$Revision: 1.15 $'[11:-2]
$Id: mapping.py,v 1.16 2001/11/28 23:59:02 jeremy Exp $"""
__version__='$Revision: 1.16 $'[11:-2]
import Persistence
import types
from UserDict import UserDict
_marker=[]
class PersistentMapping(Persistence.Persistent):
class PersistentMapping(UserDict, Persistence.Persistent):
"""A persistent wrapper for mapping objects.
This class allows wrapping of mapping objects so that
object changes are registered. As a side effect,
mapping objects may be subclassed.
This class allows wrapping of mapping objects so that object
changes are registered. As a side effect, mapping objects may be
subclassed.
"""
def __init__(self,container=None):
if container is None: container={}
self._container=container
__super_delitem = UserDict.__delitem__
__super_setitem = UserDict.__setitem__
__super_clear = UserDict.clear
__super_update = UserDict.update
__super_setdefault = UserDict.setdefault
__super_popitem = UserDict.popitem
def __setstate__(self, state):
# The old PersistentMapping used _container to hold the data.
# We need to make the current code work with objects pickled
# using the old code. Unfortunately, this forces us to expose
# the rep of UserDict, because __init__() won't be called when
# a pickled object is being loaded.
if state.has_key('_container'):
assert not state.has_key('data'), \
("object state has _container and data attributes: %s"
% repr(state))
self.data = state['_container']
del state['_container']
for k, v in state.items():
self.__dict__[k] = v
def __delitem__(self, key):
del self._container[key]
try: del self._v_keys
except: pass
self.__changed__(1)
def __getitem__(self, key):
return self._container[key]
def __len__(self): return len(self._container)
self.__super_delitem(key)
self._p_changed = 1
def __setitem__(self, key, v):
self._container[key]=v
try: del self._v_keys
except: pass
self.__changed__(1)
self.__super_setitem(key, v)
self._p_changed = 1
def clear(self):
self._container.clear()
self._p_changed=1
if hasattr(self,'_v_keys'): del self._v_keys
def copy(self): return self.__class__(self._container.copy())
def get(self, key, default=_marker):
if default is _marker:
return self._container.get(key)
else:
return self._container.get(key, default)
def has_key(self,key): return self._container.has_key(key)
def items(self):
return map(lambda k, d=self: (k,d[k]), self.keys())
def keys(self):
try: return list(self._v_keys) # return a copy (Collector 2283)
except: pass
keys=self._v_keys=filter(
lambda k: not isinstance(k,types.StringType) or k[:1]!='_',
self._container.keys())
keys.sort()
return list(keys)
self.__super_clear()
self._p_changed = 1
def update(self, b):
a=self._container
for k, v in b.items(): a[k] = v
try: del self._v_keys
except: pass
self._p_changed=1
def values(self):
return map(lambda k, d=self: d[k], self.keys())
def __cmp__(self,other):
return cmp(self._container, other._container)
self.__super_update(b)
self._p_changed = 1
def setdefault(self, key, failobj=None):
# We could inline all of UserDict's implementation into the
# method here, but I'd rather not depend at all on the
# implementation in UserDict (simple as it is).
if not self.has_key(key):
self._p_changed = 1
return self.__super_setdefault(key, failobj)
def popitem(self):
self._p_changed = 1
return self.__super_popitem()
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