本文整理汇总了Python中cPickle.PickleError方法的典型用法代码示例。如果您正苦于以下问题:Python cPickle.PickleError方法的具体用法?Python cPickle.PickleError怎么用?Python cPickle.PickleError使用的例子?那么恭喜您, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类cPickle
的用法示例。
在下文中一共展示了cPickle.PickleError方法的12个代码示例,这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞,您的评价将有助于系统推荐出更棒的Python代码示例。
示例1: load_object
# 需要导入模块: import cPickle [as 别名]
# 或者: from cPickle import PickleError [as 别名]
def load_object(self, value):
"""The reversal of :meth:`dump_object`. This might be called with
None.
"""
if value is None:
return None
if value.startswith(b"!"):
try:
return pickle.loads(value[1:])
except pickle.PickleError:
return None
try:
return int(value)
except ValueError:
# before 0.8 we did not have serialization. Still support that.
return value
示例2: load_object
# 需要导入模块: import cPickle [as 别名]
# 或者: from cPickle import PickleError [as 别名]
def load_object(self, value):
"""The reversal of :meth:`dump_object`. This might be called with
None.
"""
if value is None:
return None
if value.startswith(b'!'):
try:
return pickle.loads(value[1:])
except pickle.PickleError:
return None
try:
return int(value)
except ValueError:
# before 0.8 we did not have serialization. Still support that.
return value
示例3: dump
# 需要导入模块: import cPickle [as 别名]
# 或者: from cPickle import PickleError [as 别名]
def dump(self, url, payload):
# TODO: Ensure a better check for ieee1394/non-cachable address spaces than a bad URL
try:
filename = self.filename(url)
except exceptions.CacheRelativeURLException:
debug.debug("NOT Dumping url {0} - relative URLs are not yet supported".format(url))
return
## Check that the directory exists
directory = os.path.dirname(filename)
if not os.access(directory, os.R_OK | os.W_OK | os.X_OK):
os.makedirs(directory)
## Ensure that the payload is flattened - i.e. all generators are converted to lists for pickling
try:
data = pickle.dumps(payload)
debug.debug("Dumping filename {0}".format(filename))
fd = open(filename, 'w')
fd.write(data)
fd.close()
except (pickle.PickleError, TypeError):
# Do nothing if the pickle fails
debug.debug("NOT Dumping filename {0} - contained a non-picklable class".format(filename))
## This is the central cache object
示例4: test_reduce_bad_iterator
# 需要导入模块: import cPickle [as 别名]
# 或者: from cPickle import PickleError [as 别名]
def test_reduce_bad_iterator(self):
# Issue4176: crash when 4th and 5th items of __reduce__()
# are not iterators
class C(object):
def __reduce__(self):
# 4th item is not an iterator
return list, (), None, [], None
class D(object):
def __reduce__(self):
# 5th item is not an iterator
return dict, (), None, None, []
# Protocol 0 is less strict and also accept iterables.
for proto in protocols:
try:
self.dumps(C(), proto)
except (AttributeError, pickle.PickleError, cPickle.PickleError):
pass
try:
self.dumps(D(), proto)
except (AttributeError, pickle.PickleError, cPickle.PickleError):
pass
示例5: load_object
# 需要导入模块: import cPickle [as 别名]
# 或者: from cPickle import PickleError [as 别名]
def load_object(self, value):
"""The reversal of :meth:`dump_object`. This might be callde with
None.
"""
if value is None:
return None
if value.startswith(b'!'):
try:
return pickle.loads(value[1:])
except pickle.PickleError:
return None
try:
return int(value)
except ValueError:
# before 0.8 we did not have serialization. Still support that.
return value
示例6: do_open
# 需要导入模块: import cPickle [as 别名]
# 或者: from cPickle import PickleError [as 别名]
def do_open(self, flags, replace):
if self.loaded:
self.flags = flags
return
select = sa.select([self.table.c.data],
(self.table.c.namespace == self.namespace))
result = self.bind.execute(select).fetchone()
if not result:
self._is_new = True
self.hash = {}
else:
self._is_new = False
try:
self.hash = result['data']
except (IOError, OSError, EOFError, cPickle.PickleError,
pickle.PickleError):
log.debug("Couln't load pickle data, creating new storage")
self.hash = {}
self._is_new = True
self.flags = flags
self.loaded = True
示例7: do_open
# 需要导入模块: import cPickle [as 别名]
# 或者: from cPickle import PickleError [as 别名]
def do_open(self, flags, replace):
# If we already loaded the data, don't bother loading it again
if self.loaded:
self.flags = flags
return
item = self.cache.get_by_key_name(self.namespace)
if not item:
self._is_new = True
self.hash = {}
else:
self._is_new = False
try:
self.hash = cPickle.loads(str(item.data))
except (IOError, OSError, EOFError, cPickle.PickleError):
if self.log_debug:
log.debug("Couln't load pickle data, creating new storage")
self.hash = {}
self._is_new = True
self.flags = flags
self.loaded = True
示例8: do_open
# 需要导入模块: import cPickle [as 别名]
# 或者: from cPickle import PickleError [as 别名]
def do_open(self, flags, replace):
# If we already loaded the data, don't bother loading it again
if self.loaded:
self.flags = flags
return
cache = self.cache
result = sa.select([cache.c.data],
cache.c.namespace == self.namespace
).execute().fetchone()
if not result:
self._is_new = True
self.hash = {}
else:
self._is_new = False
try:
self.hash = result['data']
except (IOError, OSError, EOFError, cPickle.PickleError,
pickle.PickleError):
log.debug("Couln't load pickle data, creating new storage")
self.hash = {}
self._is_new = True
self.flags = flags
self.loaded = True
示例9: set
# 需要导入模块: import cPickle [as 别名]
# 或者: from cPickle import PickleError [as 别名]
def set(self, key, value, timeout=None):
"""Add a new key/value to the cache (overwrites value, if key already
exists in the cache).
:param key: the key to set
:param value: the value for the key
:param timeout: the cache timeout for the key in seconds (if not
specified, it uses the default timeout). A timeout of
0 idicates that the cache never expires.
:returns: ``True`` if key has been updated, ``False`` for backend
errors. Pickling errors, however, will raise a subclass of
``pickle.PickleError``.
:rtype: boolean
"""
return True
示例10: get
# 需要导入模块: import cPickle [as 别名]
# 或者: from cPickle import PickleError [as 别名]
def get(self, key):
try:
expires, value = self._cache[key]
if expires == 0 or expires > time():
return pickle.loads(value)
except (KeyError, pickle.PickleError):
return None
示例11: has
# 需要导入模块: import cPickle [as 别名]
# 或者: from cPickle import PickleError [as 别名]
def has(self, key):
filename = self._get_filename(key)
try:
with open(filename, "rb") as f:
pickle_time = pickle.load(f)
if pickle_time == 0 or pickle_time >= time():
return True
else:
os.remove(filename)
return False
except (IOError, OSError, pickle.PickleError):
return False
示例12: set
# 需要导入模块: import cPickle [as 别名]
# 或者: from cPickle import PickleError [as 别名]
def set(self, key, value, timeout=None):
"""Add a new key/value to the cache (overwrites value, if key already
exists in the cache).
:param key: the key to set
:param value: the value for the key
:param timeout: the cache timeout for the key (if not specified,
it uses the default timeout). A timeout of 0 idicates
that the cache never expires.
:returns: ``True`` if key has been updated, ``False`` for backend
errors. Pickling errors, however, will raise a subclass of
``pickle.PickleError``.
:rtype: boolean
"""
return True