Day 22 生成器yield表达式及内置函数(一丢丢)

 

 

 

 

 

 

本日知识点:

###################################
#一、上节课复习:在for循环式,调用对象内部的__iter__方法,
#       把他们变成了可迭代对象然后for循环调用可迭代对象的__next__方法去取值,
#       而且for循环会捕捉StopIteration异常,以终止迭代
###################################

# def func(n):
#     while n > 0:
#         yield n
#         print("*"*6)
#         n -= 1
#
# g=func(5)
# #第一个
# print(next(g))
# print(next(g))
# print(next(g))
# print(next(g))
# print(next(g))
# #第二个 等价于前面第一个
# for i in g: #next(g)
#     print(i)

###################################
#二、send的效果:
    # 1:先从为暂停位置的那个yield传一个值,然后yield会把值赋值x
    # 2:与next的功能一样
    #注意:要先启动,执行到yield的位置处
###################################

# def init(func):
#     '''
#     装饰器:预启动生成器,到位置yield处,以便send传值
#     :param func:
#     :return:
#     '''
#     def wrapper(*args,**kwargs):
#         g=func(*args,**kwargs)
#         next(g)
#         return g
#     return wrapper
#
# @init #foo=init(foo)
# def foo():
#     '''
#     函数:测试send对yield的传值效果
#     :return:
#     '''
#     print('starting')
#     while True:
#         print("*"*8)
#         x=yield #return 1
#         print("8"*8)
#         print('value :   ',x)
#
# 测试部分:**********************************
# g = foo()
# print(next(g))            #赋值后,迭代器开始迭代
# print(next(g))

# print(next(foo()))      #!!!!!!!每次相当于从头开始
# print(next(foo()))

# g.send(2)          #要先启动,所以编写装饰器,预启动
# print(g)
#
# print('='*30)
# print(g.send(1))
# print('='*30)
# print(g.send(2))
# print('='*30)
# print(next(g))
# print('='*30)
# print(g.send(None)) #g.send(None)等同于next(g)


###################################
#    二、应用:生成器表达式:含yield的函数!  yield 不仅可以返回值还可以接收值。注意,开始需要预启动(send)
###################################

# def init(func):
#     def wrapper(*args,**kwargs):
#         g = func(*args,**kwargs)
#         next(g)
#         return g
#     return wrapper
# # @init
# def eater(name):
#     print("%s ready to eat " %name)
#     food_list = []
#     while True:
#         food = yield food_list
#         food_list.append(food)
#         print("%s start to eat %s" %(name,food))
#
# e = eater("alex")
#
# print(next(e))            #通过装饰器,解决这个语句!
# print(e.send("狗屎"))
# print(e.send("猫屎"))
# print(e.send("alex屎粑粑"))

#其二 ************************************举例:自动供应食材,并输出吃饭过程
# def init(func):
#     '''
#     装饰器:预启动函数
#     :param func:
#     :return:
#     '''
#     def wrapper(*args,**kwargs):
#         # print("修饰")
#         g = func(*args,**kwargs)
#         next(g)
#         return g
#     return wrapper
#
# @init
# def eat_food(name):
#     '''
#     生成器:迭代执行
#     :param name:
#     :return:
#     '''
#     print("开始吃饭了=======》 ")
#     food_list = []
#     while True:
#         x = yield food_list
#         food_list.append(x)
#         print("%s 现在吃 %s" %(name,x))
#         print(food_list)
#
# # gg = eat_food("dachao")
# # gg.send("鸡腿")
#
# def make_food(people,n):
#     '''
#     自动生成食材
#     :param people:
#     :param n:
#     :return:
#     '''
#     print("*"*10)
#     for i in range(n):
#         people.send("SHIT %s" %(i))
#
# gg = eat_food("alex")
# make_food(gg,10)

###################################
#   yield 功能嵌套,多函数协作 面向过程编程思想!
#   应用:模拟功能===》 grep -rl 'root' /etc    便览文件目录,并把含关键字的文件地址返回打印
###################################

import os

def init(func):
    '''
    装饰器:预启动
    :param func: 
    :return: 
    '''
    def wrapper(*args,**kwargs):x
        g = func(*args,**kwargs)
        next(g)
        return g
    return wrapper

#阶段一:递归地找文件的绝对路径,把路径发给阶段二
def search_1(target,start_path):
    g = os.walk(start_path)
    for par_dir,_,files in g:
        for file in files:
            file_path = r"%s\%s" %(par_dir,file)
            target.send(file_path)

#阶段二:收到文件路径,打开文件获取获取对象,把文件对象发给阶段三
@init
def opener(target):
    while True:
        file_path = yield
        with open(file_path,encoding="utf-8") as f:
            target.send((file_path,f))

#阶段三:收到文件对象,for循环读取文件的每一行内容,把每一行内容发给阶段四
@init
def cat(target):
    while True:
        file_path,f = yield
        for line in f :
            res = target.send((file_path,line))
            if res:
                break

#阶段四:收到一行内容,判断root是否在这一行中,如果在,则把文件名发给阶段五
@init
def grep(target,pattern):
    tag = False
    while True:
        file_path,line = yield tag
        tag = False
        if pattern in line:
            target.send(file_path)
            tag = True

#阶段五:收到文件名,打印结果
@init
def printer():
    while True:
        file_path = yield
        print(file_path)

start_path =r"D:\Python\study\Day_10\a_10"
search_1(opener(cat(grep(printer(),"dachao"))),start_path)
knowledge

作业:

###################################
#   yield 功能嵌套,多函数协作 面向过程编程思想!
#   应用:模拟功能===》 grep -rl 'root' /etc    便览文件目录,并把含关键字的文件地址返回打印
###################################

import os

def init(func):
    def wrapper(*args,**kwargs):
        g = func(*args,**kwargs)
        next(g)
        return g
    return wrapper

#阶段一:递归地找文件的绝对路径,把路径发给阶段二

def search_path(target,file_path):
    g = os.walk(file_path)                  #获取绝对路径
    for path_1,_,path_3 in g:
        for file in path_3:
            res = r"%s\%s" %(path_1,file)
            target.send(res)

#阶段二:收到文件路径,打开文件获取获取对象,把文件对象发给阶段三
@init
def open_path(target):
    while True:
        file_path = yield
        with open(file_path,encoding="utf-8") as f:
            target.send((file_path,f))


#阶段三:收到文件对象,for循环读取文件的每一行内容,把每一行内容发给阶段四
@init
def read_file(target):
    while True:
        file_path,f = yield
        for i in f:
            res = target.send((file_path,i))
            if res:
                break


#阶段四:收到一行内容,判断root是否在这一行中,如果在,则把文件名发给阶段五
@init
def grep_file(target,content):
    tag = False
    while True:

        file_path,i = yield tag    #True停止迭代
        tag = False
        if content in i:
            target.send(file_path)
            tag = True

#阶段五:收到文件名,打印结果
@init
def printer():
    while True:
        file_path = yield
        print(file_path)

file_path = r"D:\Python\study\Day_10\a_10"
search_path(open_path(read_file(grep_file(printer(),"dachao"))),file_path)


#########################################
# 选做作业
#     l=[1,2,[3,[4,5,6,[7,8,[9,10,[11,12,13,[14,15]]]]]]]
#     一个列表嵌套很多层,用递归取出所有的值
#########################################

# l=[1,2,[3,[4,5,6,[7,8,[9,10,[11,12,13,[14,15]]]]]]]
#
#
# def get_list(list):
#     for i in list:
#         if isinstance(i,int):     #isinstance 函数
#             print(i,end=",")
#         else:
#             get_list(i)
#
# get_list(l)
work

 

posted @ 2017-06-19 23:13  LiChaoAI  阅读(121)  评论(0编辑  收藏  举报