Nntplib Basic learning of Python

#-*-Coding:utf-8-*-

# python:2.x

__author__ = ' Administrator '

From nntplib Import *

# nnt.group (' name ') #选择一个组的名字, returns a tuple (Rsp,ct,fst,lst,group): The number of information files returned by the server, the first and last article numbers, and the group name, all data are strings

# NNT.XHDR (' HDR ', ' artg ', [' ofile ']) #返回文章范围atrtg (header-footer format) in the article HDR header list or output to file ofile

# nnt.body (' id ', [' ofile ']) #给定的文章id可以是消息的ID (inside the angle brackets), or an article number (which is a string), returns a tuple (Rsp,anum,mid,data): Server return information, article number (string), Message ID (inside angle brackets) and list of all article rows or outputs to file ofile

# nnt.head (' id ') is similar #与body (), except that the column list in the returned tuple only contains the article title

# nnt.article (' id ') #和body (), just returns the title and content of the article in the row list in the tuple

# nnt.stat (' id ') #让文章的指针指向id (IBID., is a message ID or article number), returns a body-like tuple, but does not contain article data

# Nnt.next () #用法与stat () similar, move the article pointer to the next article, Return and stat () similar tuples

# nnt.last () #用法与stat () similar, move the article pointer to the last article, Return and stat () similar tuples

# nnt.post (' Ufile ') #上传ufile文件对象内容 (Ufile.readline ()) and published in the current newsgroup

# nnt.quit () #关闭后退出

#例子1

# NNT=NNTP (' Your.nntp.server ')

# rsp,ct,fst,lst,grp=nnt.group (' Comp.lang.python ')

# rsp,anum,mid,data=nnt.article (' 110457 ')

# for Eachline in data:

# Print Eachline

#例子2

Def p (n=5):

Import Random

Vals=sorted (Random.random () for _ in range (2*n))

VALS=[0]+VALS+[1]

For j in Range (2*n+1):

Yield vals[j:j+2]

Dalta=[x[1]-x[0] for X in P ()]

Print Dalta

Print sum (dalta)

Nntplib Basic learning of Python