Python cPickle.Pickler方法代碼示例

# 需要導入模塊: import cPickle [as 別名]
# 或者: from cPickle import Pickler [as 別名]
def getClient(
        cls, servers, debug=0, pickleProtocol=0,
        pickler=pickle.Pickler, unpickler=pickle.Unpickler,
        pload=None, pid=None
    ):

        if cls.allowTestCache:
            return TestClient(
                servers, debug=debug,
                pickleProtocol=pickleProtocol, pickler=pickler,
                unpickler=unpickler, pload=pload, pid=pid)
        elif config.Memcached.Pools.Default.ClientEnabled:
            return Client(
                servers, debug=debug, pickleProtocol=pickleProtocol,
                pickler=pickler, unpickler=unpickler, pload=pload, pid=pid)
        else:
            return None 

# 需要導入模塊: import cPickle [as 別名]
# 或者: from cPickle import Pickler [as 別名]
def __init__(self, request, servers, debug=0, pickleProtocol=0,
                 pickler=pickle.Pickler, unpickler=pickle.Unpickler,
                 pload=None, pid=None,
                 default_time_expire = DEFAULT_TIME_EXPIRE):
        self.request=request
        self.default_time_expire = default_time_expire
        if request:
            app = request.application
        else:
            app = ''
        Client.__init__(self, servers, debug, pickleProtocol,
                        pickler, unpickler, pload, pid)
        if not app in self.meta_storage:
            self.storage = self.meta_storage[app] = {
                CacheAbstract.cache_stats_name: {
                    'hit_total': 0,
                    'misses': 0,
                    }}
        else:
            self.storage = self.meta_storage[app] 

# 需要導入模塊: import cPickle [as 別名]
# 或者: from cPickle import Pickler [as 別名]
def __setitem__(self, key, value):
        if self.writeback:
            self.cache[key] = value
        f = StringIO()
        p = Pickler(f, self._protocol)
        p.dump(value)
        self.dict[key] = f.getvalue() 

# 需要導入模塊: import cPickle [as 別名]
# 或者: from cPickle import Pickler [as 別名]
def _SaveDicts():
	if is_readonly:
		raise RuntimeError("Trying to write to a readonly gencache ('%s')!" \
		                    % win32com.__gen_path__)
	f = open(os.path.join(GetGeneratePath(), "dicts.dat"), "wb")
	try:
		p = pickle.Pickler(f)
		p.dump(pickleVersion)
		p.dump(clsidToTypelib)
	finally:
		f.close() 

# 需要導入模塊: import cPickle [as 別名]
# 或者: from cPickle import Pickler [as 別名]
def dumps(self, arg, proto=0):
        f = self.output()
        try:
            p = cPickle.Pickler(f, proto)
            p.dump(arg)
            f.seek(0)
            return f.read()
        finally:
            self.close(f) 

# 需要導入模塊: import cPickle [as 別名]
# 或者: from cPickle import Pickler [as 別名]
def test_pers_load(self):
        for binary in [True, False]:
            src = StringIO()
            p = cPickle.Pickler(src)
            p.persistent_id = persistent_id
            p.binary = binary

            value = MyData('abc')
            p.dump(value)

            up = cPickle.Unpickler(StringIO(src.getvalue()))
            up.persistent_load = persistent_load
            res = up.load()

            self.assertEqual(res.value, value.value)

            # errors
            src = StringIO()
            p = cPickle.Pickler(src)
            p.persistent_id = persistent_id
            p.binary = binary

            value = MyData('abc')
            p.dump(value)

            up = cPickle.Unpickler(StringIO(src.getvalue()))

            # exceptions vary betwee cPickle & Pickle
            try:
                up.load()
                self.assertUnreachable()
            except Exception, e:
                pass 

# 需要導入模塊: import cPickle [as 別名]
# 或者: from cPickle import Pickler [as 別名]
def loadData(self, filename, verbose=True, replace_missing=True):
        ''' Get the data from a text file in one of 3 formats: matrix, sparse, binary_sparse'''
        if verbose:  print("========= Reading " + filename)
        start = time.time()
        if self.use_pickle and os.path.exists(os.path.join(self.tmp_dir, os.path.basename(filename) + ".pickle")):
            with open(os.path.join(self.tmp_dir, os.path.basename(filename) + ".pickle"), "r") as pickle_file:
                vprint(verbose,
                       "Loading pickle file : " + os.path.join(self.tmp_dir, os.path.basename(filename) + ".pickle"))
                return pickle.load(pickle_file)

        if not os.path.exists(filename):
            return None
        if 'format' not in self.info.keys():
            self.getFormatData(filename)
        if 'feat_num' not in self.info.keys():
            self.getNbrFeatures(filename)

        data_func = {'dense': data_io.data, 'sparse': data_io.data_sparse, 'sparse_binary': data_io.data_binary_sparse}

        data = data_func[self.info['format']](filename, self.info['feat_num'])

        # INPORTANT: when we replace missing values we double the number of variables

        if self.info['format'] == 'dense' and replace_missing and np.any(map(np.isnan, data)):
            vprint(verbose, "Replace missing values by 0 (slow, sorry)")
            data = data_converter.replace_missing(data)
        if self.use_pickle:
            with open(os.path.join(self.tmp_dir, os.path.basename(filename) + ".pickle"), "wb") as pickle_file:
                vprint(verbose,
                       "Saving pickle file : " + os.path.join(self.tmp_dir, os.path.basename(filename) + ".pickle"))
                p = pickle.Pickler(pickle_file)
                p.fast = True
                p.dump(data)
        end = time.time()
        if verbose:  print( "[+] Success in %5.2f sec" % (end - start))
        return data 

# 需要導入模塊: import cPickle [as 別名]
# 或者: from cPickle import Pickler [as 別名]
def loadLabel(self, filename, verbose=True):
        ''' Get the solution/truth values'''
        if verbose:  print("========= Reading " + filename)
        start = time.time()
        if self.use_pickle and os.path.exists(os.path.join(self.tmp_dir, os.path.basename(filename) + ".pickle")):
            with open(os.path.join(self.tmp_dir, os.path.basename(filename) + ".pickle"), "r") as pickle_file:
                vprint(verbose,
                       "Loading pickle file : " + os.path.join(self.tmp_dir, os.path.basename(filename) + ".pickle"))
                return pickle.load(pickle_file)
        if 'task' not in self.info.keys():
            self.getTypeProblem(filename)

            # IG: Here change to accommodate the new multiclass label format
        if self.info['task'] == 'multilabel.classification':
            label = data_io.data(filename)
        elif self.info['task'] == 'multiclass.classification':
            label = data_converter.convert_to_num(data_io.data(filename))
        else:
            label = np.ravel(data_io.data(filename))  # get a column vector
        # label = np.array([np.ravel(data_io.data(filename))]).transpose() # get a column vector

        if self.use_pickle:
            with open(os.path.join(self.tmp_dir, os.path.basename(filename) + ".pickle"), "wb") as pickle_file:
                vprint(verbose,
                       "Saving pickle file : " + os.path.join(self.tmp_dir, os.path.basename(filename) + ".pickle"))
                p = pickle.Pickler(pickle_file)
                p.fast = True
                p.dump(label)
        end = time.time()
        if verbose:  print( "[+] Success in %5.2f sec" % (end - start))
        return label 

# 需要導入模塊: import cPickle [as 別名]
# 或者: from cPickle import Pickler [as 別名]
def __init__(self, servers, debug=0, pickleProtocol=0,
                 pickler=pickle.Pickler, unpickler=pickle.Unpickler,
                 pload=None, pid=None):
        """
        Create a new Client object with the given list of servers.

        @param servers: C{servers} is passed to L{set_servers}.
        @param debug: whether to display error messages when a server can't be
        contacted.
        @param pickleProtocol: number to mandate protocol used by (c)Pickle.
        @param pickler: optional override of default Pickler to allow subclassing.
        @param unpickler: optional override of default Unpickler to allow subclassing.
        @param pload: optional persistent_load function to call on pickle loading.
        Useful for cPickle since subclassing isn't allowed.
        @param pid: optional persistent_id function to call on pickle storing.
        Useful for cPickle since subclassing isn't allowed.
        """
        local.__init__(self)
        self.set_servers(servers)
        self.debug = debug
        self.stats = {}

        # Allow users to modify pickling/unpickling behavior
        self.pickleProtocol = pickleProtocol
        self.pickler = pickler
        self.unpickler = unpickler
        self.persistent_load = pload
        self.persistent_id = pid

        #  figure out the pickler style
        file = StringIO()
        try:
            pickler = self.pickler(file, protocol=self.pickleProtocol)
            self.picklerIsKeyword = True
        except TypeError:
            self.picklerIsKeyword = False 

# 需要導入模塊: import cPickle [as 別名]
# 或者: from cPickle import Pickler [as 別名]
def __WritePickled(self, obj, filename):
    """Pickles the object and writes it to the given file.
    """
    if not filename or filename == '/dev/null' or not obj:
      return


    descriptor, tmp_filename = tempfile.mkstemp(dir=os.path.dirname(filename))
    tmpfile = os.fdopen(descriptor, 'wb')





    pickler = pickle.Pickler(tmpfile, protocol=1)
    pickler.fast = True
    pickler.dump(obj)

    tmpfile.close()

    self.__file_lock.acquire()
    try:
      try:

        os.rename(tmp_filename, filename)
      except OSError:

        try:
          os.remove(filename)
        except:
          pass
        os.rename(tmp_filename, filename)
    finally:
      self.__file_lock.release() 

# 需要導入模塊: import cPickle [as 別名]
# 或者: from cPickle import Pickler [as 別名]
def Write(self):
    """Write search indexes to the index file.

    This method is a no-op if index_file is set to None.
    """
    if not self.__index_file:
      return





    descriptor, tmp_filename = tempfile.mkstemp(
        dir=os.path.dirname(self.__index_file))
    tmpfile = os.fdopen(descriptor, 'wb')

    pickler = pickle.Pickler(tmpfile, protocol=1)
    pickler.fast = True
    pickler.dump((self._VERSION, self.__indexes))

    tmpfile.close()

    self.__index_file_lock.acquire()
    try:
      try:

        os.rename(tmp_filename, self.__index_file)
      except OSError:


        os.remove(self.__index_file)
        os.rename(tmp_filename, self.__index_file)
    finally:
      self.__index_file_lock.release() 

# 需要導入模塊: import cPickle [as 別名]
# 或者: from cPickle import Pickler [as 別名]
def __init__(self,
               servers=None,
               debug=0,
               pickleProtocol=cPickle.HIGHEST_PROTOCOL,
               pickler=cPickle.Pickler,
               unpickler=cPickle.Unpickler,
               pload=None,
               pid=None,
               make_sync_call=None,
               _app_id=None):
    """Create a new Client object.

    No parameters are required.

    Arguments:
      servers: Ignored; only for compatibility.
      debug: Ignored; only for compatibility.
      pickleProtocol: Pickle protocol to use for pickling the object.
      pickler: pickle.Pickler sub-class to use for pickling.
      unpickler: pickle.Unpickler sub-class to use for unpickling.
      pload: Callable to use for retrieving objects by persistent id.
      pid: Callable to use for determine the persistent id for objects, if any.
      make_sync_call: Ignored; only for compatibility with an earlier version.
    """





    self._pickler_factory = pickler
    self._unpickler_factory = unpickler
    self._pickle_protocol = pickleProtocol
    self._persistent_id = pid
    self._persistent_load = pload
    self._app_id = _app_id
    self._cas_ids = {}