# name, age, score

tom, 12, 86

Lee, 15, 99

Lucy, 11, 58

Joseph, 19, 56

 #-*-coding:utf-8 -*-

 # (1) judge leap year

 def judge_leap_year(n):

     # if n%4 == 0 and n%100 != 0:

     #     return True

     # if n%100 == 0 and n%400 == 0:

     if (n%4 == 0 and n%100 != 0) or (n%100 == 0 and n%400 == 0):

         return True

     else:

         return False

 # ===================================================================

 # (2) computing the sum days of any day(**.**.**)

 def compute_year_counts(datestr):

     # deal with these case:

     # 2012.12.2

     # 2012/12/2

     # 2012-12-2

     if datestr.find('.') > 0: date = datestr.split('.')

     if datestr.find('/') > 0: date = datestr.split('/')

     if datestr.find('-') > 0: date = datestr.split('-')

     year = int(date[0])

     month = int(date[1])

     day = int(date[2])

     if (month < 1 or month > 12):

         print "the error month!"

         return -1

     if (day > 31):

         print "the error day!"

         return -1

     days = [31, 28, 31, 30, 31, 30, 31, 31, 30, 31, 30, 31]

     # nDays = 0

     # i = 1

     # while i < month:

     #     nDays += days[i-1]

     #     i = i + 1

     nDays = sum(days[i] for i in range(0, month - 1))

     if (judge_leap_year(year)):

         nDays += 1

     return nDays + day 

 datestring = raw_input("input the datetime info:-->")

 print compute_year_counts(datestring)

 # ===================================================================

 # (3) read and write file: use class if perfect!

 class UserProfier(object):

     def __init__(self, name, age, score):

         self.name = name

         self.age = age

         self.score = score

 def read_file_and_anlysis(filetext):

     line_read = []

     user_scores = []

     has_invalid_name = False #the invalid name

     for line in filetext:

         if not line.startswith('#') and len(line.strip()) != 0:

             if line[0].islower():

                 line = line[0].upper() + line[1:]

                 has_invalid_name = True

             cur = line.strip().split(', ')

             user_scores.append(UserProfier(cur[0], int(cur[1]), int(cur[2])))

             line_read.append(line)

     # print the file

     print "print the file"

     for i in line_read:

         print i

     # statistic the score < 60

     print "users whose score lower 60:"

     for scores in filter(lambda s: s.score < 60 , user_scores):

         print scores.name

     # statistic the begin of name which is 'L'

     print "users whose name's begin is 'L':"

     for names in filter(lambda s: s.name.startswith('L'), user_scores):

         print names.name

     # statistic the total scores of all one

     print "the total scores of everyone:"

     allscores = map(lambda s:s.score, user_scores)

     print allscores

     print reduce(lambda x, y: x+y, allscores, 0)

 # open the file

 with open("record.txt") as f:

     read_file_and_anlysis(f)

 # ===================================================================

 # (4) the useful example of regular expression

 import os, re, datetime

 filename = "output_1981.10.21.txt"

 date_time = re.search("(?P<year>\d{4})\.(?P<month>\d{2})\.(?P<day>\d{2})\.", filename)

 year = date_time.group('year')

 month = date_time.group('month')

 day = date_time.group('day')

 print year, month, day

 date = datetime.date(int(year), int(month), int(day))

 w = date.weekday() + 1

 W = str(w)

 os.rename(filename, "output_"+year+'-'+month+'-'+day+'-'+str(w)+".txt")