import json
dic = {"张三":(190,90)}
# 序列化
ret = json.dumps(dic,ensure_ascii=False)   #将字典转化为str
print(type(dic),dic)
print(type(ret),ret)
# 反序列化
res = json.loads(ret)    #将str转化为字典
print(type(res),res)

import json
dic = {"大表哥":(190,90)}
f = open('大表哥','w',encoding='utf-8')
json.dump(dic,f,ensure_ascii=False)  # 先接收要序列化的对象 再接受文件句柄
f.close()f = open('大表哥','r',encoding='utf-8')
ret = json.load(f)
print(type(ret),ret)

import json
data = {'username':['李华','二愣子'],'sex':'male','age':16}
json_dic2 = json.dumps(data,sort_keys=True,indent=4,separators(',',':'),ensure_ascii=False)
print(json_dic2)

import json
dic1 = {"大表哥":(190,90)}
dic2 = {"2表哥":(190,90)}
dic3 = {"3表哥":(190,90)}
f = open('大表哥','a',encoding='utf-8')
str1 = json.dumps(dic1)
f.write(str1+'\n')
str2 = json.dumps(dic2)
f.write(str2+'\n')
str3 = json.dumps(dic3)
f.write(str3+'\n')
f.close()f = open('大表哥','r',encoding='utf-8')
for line in f:print(json.loads(line.strip()))
f.close()

import pickle
dic = {(190,90):"大表哥"}
ret = pickle.dumps(dic)
# 序列化结果 不是一个可读的字符串 而是一个bytes类型
print(ret)
print(pickle.loads(ret))

import pickle
dic = {(190,90):"大表哥"}
f = open('大表哥2','wb')  # 使用pickle dump必须以+b的形式打开文件
pickle.dump(dic,f)
f.close()

#关于写多行
import pickle
dic1 = {"大表哥":(190,90)}
dic2 = {"2表哥":(190,90)}
dic3 = {"3表哥":(190,90)}
f = open('大表哥3','wb')
pickle.dump(dic1,f)
pickle.dump(dic2,f)
pickle.dump(dic3,f)
f.close()
# 读写入的多行
f = open('大表哥3','rb')
while True:try:print(pickle.load(f))except EOFError:break

class A:def __init__(self,name,age):self.name=nameself.age=age
a = A('张三',18)
import pickle
f = open('大侄子1','wb')
pickle.dump(a,f)
f.close()
f = open('大侄子1','rb')
obj = pickle.load(f)
print(obj.__dict__)

class A:def __init__(self,name,age):self.name=nameself.age=age
a = A('张三',18)
import pickle
ret = pickle.dumps(a)
print(ret)
obj = pickle.loads(ret)
print(obj.__dict__)

import shelve   # python 专有的序列化模块 只针对文件
f = shelve.open('shelve_file')     # 打开文件
f['key'] = {'int':10, 'float':9.5, 'string':'Sample data'}
#直接对文件句柄操作，就可以存入数据
f.close()f = shelve.open('shelve_file', flag='r')
f['key']['int'] = 50    # 不能修改已有结构中的值
f['key']['new'] = 'new' # 不能在已有的结构中添加新的项
f['key'] = 'new'         # 但是可以覆盖原来的结构
existing = f['key']  #取出数据的时候也只需要直接用key获取即可，但是如果key不存在会报错
f.close()
print(existing)
f.close()

import hashlib
m = hashlib.md5()
m.update('dazhizi'.encode('utf-8'))
print(m.hexdigest())

import hashlib
m = hashlib.md5('wahaha'.encode('utf-8'))
m.update('123456'.encode('utf-8'))
print(m.hexdigest())   

username = 'alex'
m = hashlib.md5(username[:2:2].encode('utf-8'))
m.update('123456'.encode('utf-8'))
print(m.hexdigest())     

md5obj = hashlib.md5()
md5obj.update(b'hello,')
md5obj.update(b'alex,')
md5obj.update(b'I know your ')
md5obj.update(b'password is alex3714')
print(md5obj.hexdigest())
# 一段字符串直接进行摘要和分成几段摘要的结果是相同的

import hashlib
def check(filename):md5obj = hashlib.md5()with open(filename,'rb') as f:content = f.read()md5obj.update(content)return md5obj.hexdigest()#适合两个文件较大时的一致性校验
def check(filename):md5obj = hashlib.md5()with open(filename,'rb') as f:while True:content = f.read(4096)if content:md5obj.update(content)else:breakreturn md5obj.hexdigest()ret1 = check('file1')
ret2 = check('file2')
print(ret1)
print(ret2)