import pickle
class nation:
       def __init__(self, name='', continent='', pop='', area='', pop_density=''):
               self._name = name
               self._continent = continent
               self._pop = pop
               self._area = area
               self._pop_density =pop_density

       def setName(self, name):
               self._name = name

       def setContinent(self, continent):
               self._continent = continent

       def setPop(self, pop):
               self._pop = pop

       def setArea(self, area):
               self._area = area

       def getName(self, name):
               return self._name

       def getContinent(self, continent):
               return self._continent

       def getPop(self, pop):
               return self._pop

       def getArea(self, area):
               return self._area

       def pop_density(self):
               return (self._pop / self._area)
       def __str__(self):
               return ("The poplation density of" + str(self._name) + "is" + str(self.pop_density()))


f = open('UN.txt')
dict = {}
for line in f:
         words = line.split(",")
         _nation=nation(continent='', pop='', area='', pop_density='')

         _nation.setName(words[0])
         _nation.setContinent(words[1])
         _nation.setPop(words[2])
         _nation.setArea(words[3])
         dict[words[0]] = _nation

outfile = open("nationsDict.dat",'wb')
pickle.dump(dict,outfile)
outfile.close()

search.py

import pickle
import nation

def getDictionary(fileName):
    infile = open(fileName, 'rb')
    nations =pickle.load(infile)
    infile.close()
    return nations

def inputNameOfNation(nations):
    nation = input("Input a name of a UN member nation: ")
    while nation not in nations:
        print("Not a member of the UN.Please try again.")
        nation = input("Input a name of a UN member nation: ")

def displayData(nations,nation):
    print("Continent:", nations[nation]['continent'])
    print("Populaton:",nations[nation]['pop'], "million people")
    print("Area:",nations[nation]['area'],"square miles")

nations = getDictionary("nationsDict.dat")
nation = inputNameOfNation(nations)
displayData(nations,nation)

sort.py

import matplotlib.pyplot as plt
import nation
import pickle
def getDictionary(fileName):
    infile = open(fileName, 'rb')
    nations =pickle.load(infile)
    infile.close()
    return nations
nations = getDictionary("nationsDict.dict")
for i in nations[i]:
    nation.pop_density()

nation.pop_density.sort

plt.bar(data['x'], data['y'])

不建议任何人直接复制此代码

如果你是哈尔滨工业大学学生，请你一定不要复制此代码。因为此代码已被输入查重系统，一旦查重率超过20%，将会被认为抄袭。

此实验会为0分

     #'''''Part 1 : Setup index'''  
      
    dict = {} # a emtry dictionary.  
    n = 100  
    for row in range(0,n):    
      
        information = raw_input()  
          
        line_words = information.split()   
        # split the information inputed into lines by '/n'  
      
        for word in line_words : # Judge every word in every lines .         
      
            # If the word appear first time .  
            if word not in dict :  
                item = set()   # set up a new set .  
                item.add(row+1)  # now rows  
                dict[word] = item   # Add now rows into keys(item).  
      
            # THe word have appeared before .  
            else:     
                dict[word].add(row+1)    # Add now rows into keys(item).  
      
    # print dict    we can get the information dictionary.  
      
                  
    '''''Part 2 : Print index'''   
      
    word_list = dict.items()  # Get dict's items .  
      
    word_list.sort( key = lambda items : items[0] ) # Sort by word in dict.  
      
    for word , row in word_list : # Ergodic word and row in word_list .  
          
        list_row = list(row)  
        list_row.sort()  
      
        # Change int row into string row .  
        for i in range ( 0 , len(list_row) ):  
            list_row[i] = str(list_row[i])  
          
        # print result the part 2 needed .  
        print word + ':' , ', '.join(list_row)  
      
      
    ''''' Part 3 : Query '''  
    # define judger to judger if all querys are in dict.  
    def judger(dict , query):  
        list_query = query.split()  
        for word in list_query :  
            if word not in dict :  
                return 0    # for every query ,if there is one not in dict,return 0  
        return 1   # all query in dict .  
      
    query_list = []   
      
    # for input , meet '' ,stop input.  
    while True:  
        query = raw_input()  
        if query == '' :  
            break     
        elif len(query) != 0 :  
            query_list.append(query) # append query inputed to a list query_list .  
      
      
    # Ergodic every query in query_list.       
    for list_query in query_list :  
          
        # if judger return 0.  
        if judger(dict , list_query) == 0 :  
            print 'None'  
        
        else:  
            list_query = list_query.split()  
            query_set = set()  # get a empty set  
              
            # union set to get rows .  
            for isquery in list_query :  
                query_set = query_set | dict[isquery]  
             
            # intersection to get common rows .  
            for isquery in list_query :  
                query_set = query_set & dict[isquery]  
               
            # if intersection == 0   
            if len(query_set) == 0 :  
                print 'None'  
      
            else:  
                query_result = list(query_set)  
                query_result.sort()  
                for m in range(len(query_result)) :  
                    query_result[m] = str(query_result[m])  
                  
                print ', '.join(query_result)  

for python 3

word_dic = {}
line_len = 3

# 建立索引
for i in range(line_len):
    line = input()
    words = line.split()
    for word in words:
        if word in word_dic:
            word_dic[word].add(i+1)
        else:
            word_set = set()
            word_set.add(i+1)
            word_dic[word] = word_set

#打印索引
word_list = []
for word,word_set in word_dic.items():
    word_list.append((word,word_set))

for word,line in word_list:
   list_line = list(line)
   list_line.sort()
   for i in range(len(list_line)):
    list_line[i] = str(list_line[i])

    print(word + ': ' , ', '.join(list_line))

#检索与高级索引
def judger(dict , query):
    list_query = query.split()
    for word in list_query :
        if word not in dict :
            return 0
    return 1

query_list = []
while True:
    query = input()
    if query == '' :
        break
    elif len(query) != 0 :
        query_list.append(query)

    if judger(dict , list_query) == 0 :
        print('None')
    else:
        list_query = list_query.split()
        query_set = set()  # get a empty set
        for isquery in list_query :
            query_set = query_set | dict[isquery]
        for isquery in list_query :
            query_set = query_set & dict[isquery]
        if len(query_set) == 0 :
            print('None')

        else:
            query_result = list(query_set)
            query_result.sort()
            for m in range(len(query_result)) :
                query_result[m] = str(query_result[m])

            print(', '.join(query_result))