user)# 序列化 User 对象serialize_user(user)print("对象已序列化到文件 user.pkl")# 反序列化 User 对象loaded_user=deserialize_user()print("反序列化后的对象:",loaded_user)if__name__=='__main__':main()# 调用主函数 1. 2. 3. 4. 5. 6. 7. 8. 9.
class B(SerializableModel): def __init__(self, b): super().__init__() self.b = b self.assertEqual(json.dumps({'a': 1, 'b': {'b': 2}, 'long_attr': None}), A(1, B(2)).serialize()) self.assertEqual(json.dumps({'a': 1, 'b': None}), A(1, None).serialize())...
例5:实例化一个类的对象,使用追加“ab”模式,将同类对象序列化到一个文件中,取出的时候用下“yield”生成器取出对象。 importpickleclassMyPickle(object):def__init__(self, file_name): self.file_name=file_namedefdump(self, obj):"""序列化对象 :param obj: :return:"""with open(self.file_name,...
1) 内存中的序列化和反序列化(dumps loads) 1mport json2dic = {'k1':'v1','k2':'v2','k3':'v3'}3#str_dic = str(dic) #不安全4str_dic = json.dumps(dic)#序列化:将一个字典转换成一个字符串5print(type(str_dic), str_dic)#<class 'str'> {"k3": "v3", "k2": "v2", "k1...
def serialize(obj): if hasattr(obj, '__getstate__'): state = obj.__getstate__() else: state = obj.__dict__ return (obj.__class__, state) def deserialize(cls, state): obj = cls.__new__(cls) # Create a new instance without calling __init__ ...
author="Jane Doe", genre="Fantasy", pages=-300) # Serialize the Novel object novel_schema =...
Serialize a Python object into aYAMLstream.If stream is None,returnthe produced string instead."""returndump_all([data],stream,Dumper=Dumper,**kwds) load: 将yaml流转化为python字典; dump: 将python对象转化为yaml流; 03 读写yaml配置文件 ...
import pickle as serialize #如果数据格式是pickle,那么导入pickle模块并命名为serialize data=serialize.load(fn) #最终调用的方式是一致的 2.4 循环导入问题 循环导入问题指的是在一个模块加载/导入的过程中导入另外一个模块,而在另外一个模块中又返回来导入第一个模块中的名字,由于第一个模块尚未加载完毕,所以引用...
logger.add(custom_sink_function,serialize=True)# bind方法的用处 logger.add("file.log",format="{extra[ip]} {extra[user]} {message}")context_logger=logger.bind(ip="192.168.0.1",user="someone")context_logger.info("Contextualize your logger easily")context_logger.bind(user="someone_else").inf...
The Pickledump()anddumps()functions are used to serialize an object. The only difference between them is thatdump()writes the data to a file, whiledumps()represents it as a byte object. Similarly,load()reads pickled objects from a file, whereasloads()deserializes them from a bytes-like ...