本文整理汇总了Python中six.moves.cPickle.dumps方法的典型用法代码示例。如果您正苦于以下问题:Python cPickle.dumps方法的具体用法?Python cPickle.dumps怎么用?Python cPickle.dumps使用的例子?那么, 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six.moves.cPickle
的用法示例。
在下文中一共展示了cPickle.dumps方法的15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: test_pickle_chunk_V1_read
# 需要导入模块: from six.moves import cPickle [as 别名]
# 或者: from six.moves.cPickle import dumps [as 别名]
def test_pickle_chunk_V1_read():
data = {'foo': b'abcdefghijklmnopqrstuvwxyz'}
version = {'_id': sentinel._id,
'blob': '__chunked__'}
coll = Mock()
arctic_lib = Mock()
datap = compressHC(cPickle.dumps(data, protocol=cPickle.HIGHEST_PROTOCOL))
data_1 = datap[0:5]
data_2 = datap[5:]
coll.find.return_value = [{'data': Binary(data_1),
'symbol': 'sentinel.symbol',
'segment': 0},
{'data': Binary(data_2),
'symbol': 'sentinel.symbol',
'segment': 1},
]
arctic_lib.get_top_level_collection.return_value = coll
ps = PickleStore()
assert(data == ps.read(arctic_lib, version, sentinel.symbol))
示例2: test_pickle_store_future_version
# 需要导入模块: from six.moves import cPickle [as 别名]
# 或者: from six.moves.cPickle import dumps [as 别名]
def test_pickle_store_future_version():
data = {'foo': b'abcdefghijklmnopqrstuvwxyz'}
version = {'_id': sentinel._id,
'blob': '__chunked__VERSION_ONE_MILLION'}
coll = Mock()
arctic_lib = Mock()
datap = compressHC(cPickle.dumps(data, protocol=cPickle.HIGHEST_PROTOCOL))
data_1 = datap[0:5]
data_2 = datap[5:]
coll.find.return_value = [{'data': Binary(data_1),
'symbol': 'sentinel.symbol',
'segment': 0},
{'data': Binary(data_2),
'symbol': 'sentinel.symbol',
'segment': 1},
]
arctic_lib.get_top_level_collection.return_value = coll
ps = PickleStore()
with pytest.raises(UnsupportedPickleStoreVersion) as e:
ps.read(arctic_lib, version, sentinel.symbol)
assert('unsupported version of pickle store' in str(e.value))
示例3: verify_tee
# 需要导入模块: from six.moves import cPickle [as 别名]
# 或者: from six.moves.cPickle import dumps [as 别名]
def verify_tee(n, original, seed):
try:
state = random.getstate()
iterators = list(tee(original, n=n))
results = [[] for _ in range(n)]
exhausted = [False] * n
while not all(exhausted):
# Upper argument of random.randint is inclusive. Argh.
i = random.randint(0, n - 1)
if not exhausted[i]:
if len(results[i]) == len(original):
assert_raises(StopIteration, next, iterators[i])
assert results[i] == original
exhausted[i] = True
else:
if random.randint(0, 1):
iterators[i] = cPickle.loads(
cPickle.dumps(iterators[i]))
elem = next(iterators[i])
results[i].append(elem)
finally:
random.setstate(state)
示例4: test_xrange
# 需要导入模块: from six.moves import cPickle [as 别名]
# 或者: from six.moves.cPickle import dumps [as 别名]
def test_xrange():
yield assert_equal, list(xrange(10)), list(_xrange(10))
yield assert_equal, list(xrange(10, 15)), list(_xrange(10, 15))
yield assert_equal, list(xrange(10, 20, 2)), list(_xrange(10, 20, 2))
yield assert_equal, list(xrange(5, 1, -1)), list(_xrange(5, 1, -1))
yield (assert_equal, list(xrange(5, 55, 3)),
list(cPickle.loads(cPickle.dumps(_xrange(5, 55, 3)))))
yield assert_equal, _xrange(5).index(4), 4
yield assert_equal, _xrange(5, 9).index(6), 1
yield assert_equal, _xrange(8, 24, 3).index(11), 1
yield assert_equal, _xrange(25, 4, -5).index(25), 0
yield assert_equal, _xrange(28, 7, -7).index(14), 2
yield assert_raises, ValueError, _xrange(2, 9, 2).index, 3
yield assert_raises, ValueError, _xrange(2, 20, 2).index, 9
yield assert_equal, _xrange(5).count(5), 0
yield assert_equal, _xrange(5).count(4), 1
yield assert_equal, _xrange(4, 9).count(4), 1
yield assert_equal, _xrange(3, 9, 2).count(4), 0
yield assert_equal, _xrange(3, 9, 2).count(5), 1
yield assert_equal, _xrange(3, 9, 2).count(20), 0
yield assert_equal, _xrange(9, 3).count(5), 0
yield assert_equal, _xrange(3, 10, -1).count(5), 0
yield assert_equal, _xrange(10, 3, -1).count(5), 1
yield assert_equal, _xrange(10, 0, -2).count(6), 1
yield assert_equal, _xrange(10, -1, -3).count(7), 1
示例5: test_pickling
# 需要导入模块: from six.moves import cPickle [as 别名]
# 或者: from six.moves.cPickle import dumps [as 别名]
def test_pickling(self, backend_config):
x_data, = self.generate_inputs()
link = self.create_link(self.generate_params())
link.to_device(backend_config.device)
x = chainer.Variable(x_data)
x.to_device(backend_config.device)
y = link(x)
y_data1 = y.data
del x, y
pickled = pickle.dumps(link, -1)
del link
link = pickle.loads(pickled)
x = chainer.Variable(x_data)
x.to_device(backend_config.device)
y = link(x)
y_data2 = y.data
testing.assert_allclose(y_data1, y_data2, atol=0, rtol=0)
示例6: check_pickling
# 需要导入模块: from six.moves import cPickle [as 别名]
# 或者: from six.moves.cPickle import dumps [as 别名]
def check_pickling(self, x_data):
x = chainer.Variable(x_data)
y = self.link(x)
y_data1 = y.data
del x, y
pickled = pickle.dumps(self.link, -1)
del self.link
self.link = pickle.loads(pickled)
x = chainer.Variable(x_data)
y = self.link(x)
y_data2 = y.data
testing.assert_allclose(y_data1, y_data2, atol=0, rtol=0)
示例7: test_pickling
# 需要导入模块: from six.moves import cPickle [as 别名]
# 或者: from six.moves.cPickle import dumps [as 别名]
def test_pickling(self):
try:
features = numpy.arange(360, dtype='uint16').reshape((10, 36))
h5file = h5py.File('file.hdf5', mode='w')
h5file['features'] = features
split_dict = {'train': {'features': (0, 10, None, '.')}}
h5file.attrs['split'] = H5PYDataset.create_split_array(split_dict)
dataset = cPickle.loads(
cPickle.dumps(H5PYDataset(h5file, which_sets=('train',))))
# Make sure _out_of_memory_{open,close} accesses
# external_file_handle rather than _external_file_handle
dataset._out_of_memory_open()
dataset._out_of_memory_close()
assert dataset.data_sources is None
finally:
os.remove('file.hdf5')
示例8: test_causes_pickle
# 需要导入模块: from six.moves import cPickle [as 别名]
# 或者: from six.moves.cPickle import dumps [as 别名]
def test_causes_pickle(self):
f = None
try:
self._raise_many(["Still still not working",
"Still not working", "Not working"])
except RuntimeError:
f = failure.Failure()
self.assertIsNotNone(f)
p_f = pickle.dumps(f)
f = pickle.loads(p_f)
self.assertEqual(2, len(f.causes))
self.assertEqual("Still not working", f.causes[0].exception_str)
self.assertEqual("Not working", f.causes[1].exception_str)
f = f.causes[0]
self.assertEqual(1, len(f.causes))
self.assertEqual("Not working", f.causes[0].exception_str)
f = f.causes[0]
self.assertEqual(0, len(f.causes))
示例9: test_pickle_protein
# 需要导入模块: from six.moves import cPickle [as 别名]
# 或者: from six.moves.cPickle import dumps [as 别名]
def test_pickle_protein():
"""Pickle proteins"""
# Proteins
rec = next(oddt.toolkit.readfile('pdb', xiap_receptor))
# generate atom_dict
assert rec.atom_dict is not None
assert rec._atom_dict is not None
pickled_rec = loads(dumps(rec))
assert pickled_rec.protein is False
assert pickled_rec._atom_dict is not None
rec.protein = True
# setting protein property should clean atom_dict cache
assert rec._atom_dict is None
# generate atom_dict
assert rec.atom_dict is not None
pickled_rec = loads(dumps(rec))
assert pickled_rec.protein is True
assert pickled_rec._atom_dict is not None
示例10: pickle_invoke
# 需要导入模块: from six.moves import cPickle [as 别名]
# 或者: from six.moves.cPickle import dumps [as 别名]
def pickle_invoke(func, target=None, protocol=None, *args):
"""pickle_invoke(func, *args, target=None, protocol=None)
Create a byte sequence which when unpickled calls a callable with given
arguments.
Note:
The function has to be importable using the same name on the system
that unpickles this invocation.
Arguments:
func(callable): The function to call or class to instantiate.
args(tuple): The arguments to call the callable with.
target: The internals description of the targeted python
version. If this is ``None`` the specification of the currently
running python version will be used.
protocol: The pickle protocol version to use (use None for default).
Returns:
bytes: The data that when unpickled calls ``func(*args)``.
Example:
>>> from pwny import *
>>> import pickle
>>> def hello(arg):
... print('Hello, %s!' % arg)
...
>>> pickle.loads(pickle_invoke(hello, 'world'))
Hello, world!
"""
protocol = get_protocol_version(protocol, target)
return cPickle.dumps(PickleInvoke(func, *args), protocol)
示例11: store
# 需要导入模块: from six.moves import cPickle [as 别名]
# 或者: from six.moves.cPickle import dumps [as 别名]
def store(self, thing):
"""
Simple persistence method
"""
to_store = {'field1': thing.field1,
'date_field': thing.date_field,
}
to_store['stuff'] = Binary(cPickle.dumps(thing.stuff))
# Respect any soft-quota on write - raises if stats().totals.size > quota
self._arctic_lib.check_quota()
self._collection.insert_one(to_store)
示例12: write
# 需要导入模块: from six.moves import cPickle [as 别名]
# 或者: from six.moves.cPickle import dumps [as 别名]
def write(self, arctic_lib, version, symbol, item, _previous_version):
# Currently we try to bson encode if the data is less than a given size and store it in
# the version collection, but pickling might be preferable if we have characters that don't
# play well with the bson encoder or if you always want your data in the data collection.
if not SKIP_BSON_ENCODE_PICKLE_STORE:
try:
# If it's encodeable, then ship it
b = bson.BSON.encode({'data': item})
if len(b) < min(MAX_BSON_ENCODE, _HARD_MAX_BSON_ENCODE):
version['data'] = item
return
except InvalidDocument:
pass
# Pickle, chunk and store the data
collection = arctic_lib.get_top_level_collection()
# Try to pickle it. This is best effort
version['blob'] = _MAGIC_CHUNKEDV2
pickled = cPickle.dumps(item, protocol=cPickle.HIGHEST_PROTOCOL)
data = compress_array([pickled[i * _CHUNK_SIZE: (i + 1) * _CHUNK_SIZE] for i in xrange(int(len(pickled) / _CHUNK_SIZE + 1))])
for seg, d in enumerate(data):
segment = {'data': Binary(d)}
segment['segment'] = seg
seg += 1
sha = checksum(symbol, segment)
collection.update_one({'symbol': symbol, 'sha': sha},
{'$set': segment, '$addToSet': {'parent': version['_id']}},
upsert=True)
示例13: test_write_object
# 需要导入模块: from six.moves import cPickle [as 别名]
# 或者: from six.moves.cPickle import dumps [as 别名]
def test_write_object():
arctic_lib = Mock()
self = create_autospec(PickleStore)
version = {'_id': ObjectId()}
PickleStore.write(self, arctic_lib, version, 'sentinel.symbol', sentinel.item, sentinel.previous_version)
assert 'data' not in version
assert version['blob'] == '__chunked__V2'
coll = arctic_lib.get_top_level_collection.return_value
assert coll.update_one.call_args_list == [call({'sha': checksum('sentinel.symbol', {'segment': 0, 'data': Binary(compress(cPickle.dumps(sentinel.item, cPickle.HIGHEST_PROTOCOL)))}),
'symbol': 'sentinel.symbol'},
{'$set': {'segment': 0, 'data': Binary(compress(cPickle.dumps(sentinel.item, cPickle.HIGHEST_PROTOCOL)), 0)},
'$addToSet': {'parent': version['_id']}}, upsert=True)]
示例14: test_read_object_backwards_compat
# 需要导入模块: from six.moves import cPickle [as 别名]
# 或者: from six.moves.cPickle import dumps [as 别名]
def test_read_object_backwards_compat():
self = create_autospec(PickleStore)
version = {'blob': Binary(compressHC(cPickle.dumps(object)))}
assert PickleStore.read(self, sentinel.arctic_lib, version, sentinel.symbol) == object
示例15: test_read_object_2
# 需要导入模块: from six.moves import cPickle [as 别名]
# 或者: from six.moves.cPickle import dumps [as 别名]
def test_read_object_2():
self = create_autospec(PickleStore)
version = {'_id': sentinel._id,
'blob': '__chunked__'}
coll = Mock()
arctic_lib = Mock()
coll.find.return_value = [{'data': Binary(compressHC(cPickle.dumps(object))),
'symbol': 'sentinel.symbol',
'segment': 1}
]
arctic_lib.get_top_level_collection.return_value = coll
assert PickleStore.read(self, arctic_lib, version, sentinel.symbol) == object
assert coll.find.call_args_list == [call({'symbol': sentinel.symbol, 'parent': sentinel._id})]