forked from mrlan/EnglishPal
Refactoring parameter names and partial function names to make them more reasonable
parent
f741f84b4d
commit
ffd2d516fa
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@ -22,12 +22,12 @@ def total_number_of_essays():
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return len(result)
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def get_article_title(article):
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return article.split('\n')[0]
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def get_article_title(s):
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return s.split('\n')[0]
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def get_article_body(article):
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lst = article.split('\n')
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def get_article_body(s):
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lst = s.split('\n')
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lst.pop(0) # remove the first line
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return '\n'.join(lst)
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@ -111,11 +111,11 @@ def within_range(x, y, r):
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return x > y and abs(x - y) <= r
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def get_question_part(article):
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article = article.strip()
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def get_question_part(s):
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s = s.strip()
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result = []
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flag = 0
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for line in article.split('\n'):
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for line in s.split('\n'):
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line = line.strip()
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if line == 'QUESTION':
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result.append(line)
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@ -127,11 +127,11 @@ def get_question_part(article):
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return '\n'.join(result)
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def get_answer_part(article):
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article = article.strip()
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def get_answer_part(s):
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s = s.strip()
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result = []
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flag = 0
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for line in article.split('\n'):
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for line in s.split('\n'):
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line = line.strip()
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if line == 'ANSWER':
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flag = 1
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@ -3,7 +3,6 @@ import string
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from datetime import datetime, timedelta
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from UseSqlite import InsertQuery, RecordQuery
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def md5(s):
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'''
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MD5摘要
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@ -13,16 +12,14 @@ def md5(s):
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h = hashlib.md5(s.encode(encoding='utf-8'))
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return h.hexdigest()
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# import model.user after the defination of md5(s) to avoid circular import
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from model.user import get_user_by_username, insert_user, update_password_by_username
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path_prefix = '/var/www/wordfreq/wordfreq/'
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path_prefix = './' # comment this line in deployment
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def verify_pass(new_password, old_password):
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if new_password == old_password:
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def verify_pass(newpass,oldpass):
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if(newpass==oldpass):
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return True
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@ -43,6 +43,7 @@ def signup():
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return jsonify({'status': '1'})
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@accountService.route("/login", methods=['GET', 'POST'])
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def login():
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'''
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@ -18,25 +18,25 @@ def load_record(pickle_fname):
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return d
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def convert_test_type_to_difficulty_level(words_dict):
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def convert_test_type_to_difficulty_level(d):
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"""
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对原本的单词库中的单词进行难度评级
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:param words_dict: 存储了单词库pickle文件中的单词的字典
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:param d: 存储了单词库pickle文件中的单词的字典
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:return:
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"""
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result = {}
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words_lst = list(words_dict.keys()) # in words_dict, we have test types (e.g., CET4,CET6,BBC) for each word
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L = list(d.keys()) # in d, we have test types (e.g., CET4,CET6,BBC) for each word
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for k in words_lst:
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if 'CET4' in words_dict[k]:
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for k in L:
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if 'CET4' in d[k]:
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result[k] = 4 # CET4 word has level 4
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elif 'OXFORD3000' in words_dict[k]:
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elif 'OXFORD3000' in d[k]:
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result[k] = 5
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elif 'CET6' in words_dict[k] or 'GRADUATE' in words_dict[k]:
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elif 'CET6' in d[k] or 'GRADUATE' in d[k]:
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result[k] = 6
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elif 'OXFORD5000' in words_dict[k] or 'IELTS' in words_dict[k]:
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elif 'OXFORD5000' in d[k] or 'IELTS' in d[k]:
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result[k] = 7
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elif 'BBC' in words_dict[k]:
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elif 'BBC' in d[k]:
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result[k] = 8
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return result # {'apple': 4, ...}
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@ -63,7 +63,7 @@ def mark_word():
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'''
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if request.method == 'POST':
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d = load_freq_history(path_prefix + 'static/frequency/frequency.p')
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lst_history = pickle_idea.dict_to_lst(d)
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lst_history = pickle_idea.dict2lst(d)
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lst = []
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for word in request.form.getlist('marked'):
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lst.append((word, 1))
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@ -86,7 +86,7 @@ def mainpage():
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lst = f.get_freq()
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# save history
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d = load_freq_history(path_prefix + 'static/frequency/frequency.p')
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lst_history = pickle_idea.dict_to_lst(d)
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lst_history = pickle_idea.dict2lst(d)
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d = pickle_idea.merge_frequency(lst, lst_history)
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pickle_idea.save_frequency_to_pickle(d, path_prefix + 'static/frequency/frequency.p')
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return render_template('mainpage_post.html', lst=lst, yml=Yaml.yml)
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@ -96,7 +96,7 @@ def mainpage():
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number_of_essays = total_number_of_essays()
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d = load_freq_history(path_prefix + 'static/frequency/frequency.p')
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d_len = len(d)
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lst = sort_in_descending_order(pickle_idea.dict_to_lst(d))
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lst = sort_in_descending_order(pickle_idea.dict2lst(d))
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return render_template('mainpage_get.html',
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admin_name=ADMIN_NAME,
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random_ads=random_ads,
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@ -10,7 +10,7 @@ import pickle
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from datetime import datetime
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def lst_to_dict(lst, d):
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def lst2dict(lst, d):
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'''
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Store the information in list lst to dictionary d.
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Note: nothing is returned.
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@ -25,14 +25,14 @@ def lst_to_dict(lst, d):
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d[word] += freq
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def dict_to_lst(d):
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def dict2lst(d):
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return list(d.items()) # a list of (key, value) pairs
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def merge_frequency(list1, list2):
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def merge_frequency(lst1, lst2):
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d = {}
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lst_to_dict(list1, d)
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lst_to_dict(list2, d)
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lst2dict(lst1, d)
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lst2dict(lst2, d)
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return d
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@ -54,7 +54,6 @@ def save_frequency_to_pickle(d, pickle_fname):
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pickle.dump(d2, f)
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f.close()
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def unfamiliar(path,word):
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f = open(path,"rb")
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dic = pickle.load(f)
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@ -62,7 +61,6 @@ def unfamiliar(path, word):
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fp = open(path,"wb")
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pickle.dump(dic,fp)
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def familiar(path,word):
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f = open(path,"rb")
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dic = pickle.load(f)
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@ -77,12 +75,12 @@ if __name__ == '__main__':
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lst1 = [('apple',2), ('banana',1)]
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d = {}
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lst_to_dict(lst1, d) # d will change
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lst2dict(lst1, d) # d will change
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save_frequency_to_pickle(d, 'frequency.p') # frequency.p is our database
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lst2 = [('banana',2), ('orange', 4)]
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d = load_record('frequency.p')
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lst1 = dict_to_lst(d)
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lst1 = dict2lst(d)
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d = merge_frequency(lst2, lst1)
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print(d)
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@ -11,7 +11,6 @@
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import pickle
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from datetime import datetime
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def lst2dict(lst, d):
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'''
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Store the information in list lst to dictionary d.
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@ -26,7 +25,6 @@ def lst2dict(lst, d):
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else:
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d[word] += dates
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def deleteRecord(path,word):
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with open(path, 'rb') as f:
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db = pickle.load(f)
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@ -93,7 +93,7 @@ def familiar(username, word):
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@userService.route("/<username>/<word>/del", methods=['GET', 'POST'])
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def delete_word(username, word):
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def deleteword(username, word):
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'''
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删除单词
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:param username: 用户名
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@ -181,7 +181,6 @@ def user_mark_word(username):
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else:
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return 'Under construction'
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def get_time():
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'''
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获取当前时间
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@ -9,8 +9,7 @@ import operator
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import os, sys # 引入模块sys，因为我要用里面的sys.argv列表中的信息来读取命令行参数。
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import pickle_idea
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def freq(s):
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def freq(fruit):
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'''
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功能： 把字符串转成列表。 目的是得到每个单词的频率。
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输入： 字符串
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@ -19,26 +18,27 @@ def freq(s):
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'''
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result = []
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s = s.lower() # 字母转小写
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word_lst = s.split() # 字符串转成list
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c = collections.Counter(word_lst)
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fruit = fruit.lower() # 字母转小写
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flst = fruit.split() # 字符串转成list
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c = collections.Counter(flst)
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result = c.most_common()
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return result
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def youdao_link(word): # 有道链接
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link = 'http://youdao.com/w/eng/' + word + '/#keyfrom=dict2.index' # 网址
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def youdao_link(s): # 有道链接
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link = 'http://youdao.com/w/eng/' + s + '/#keyfrom=dict2.index'# 网址
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return link
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def file_to_str(f_name): # 文件转字符
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f = open(f_name) # 打开
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f_str = f.read() # 读取
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def file2str(fname):#文件转字符
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f = open(fname) #打开
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s = f.read() #读取
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f.close() #关闭
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return f_str
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return s
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def remove_punctuation(s): # 这里是words_text是形参 (parameter)。函数被调用时才给words_text赋值。
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def remove_punctuation(s): # 这里是s是形参 (parameter)。函数被调用时才给s赋值。
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special_characters = '\_©~<=>+-/[]*&$%^@.,?!:;#()"“”—‘’{}|' # 把里面的字符都去掉
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for c in special_characters:
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s = s.replace(c, ' ') # 防止出现把 apple,apple 移掉逗号后变成 appleapple 情况
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@ -47,15 +47,15 @@ def remove_punctuation(s): # 这里是words_text是形参 (parameter)。函数
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if '\'' in s:
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n = len(s)
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characters = '' # 用来收集我需要保留的字符
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t = '' # 用来收集我需要保留的字符
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for i in range(n): # 只有单引号前后都有英文字符，才保留
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if s[i] == '\'':
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i_is_ok = i - 1 >= 0 and i + 1 < n
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if i_is_ok and s[i-1] in string.ascii_letters and s[i+1] in string.ascii_letters:
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characters += s[i]
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t += s[i]
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else:
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characters += s[i]
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return characters
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t += s[i]
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return t
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else:
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return s
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@ -93,7 +93,7 @@ if __name__ == '__main__':
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s = input()
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elif num == 2: # 从文件读入字符串
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fname = sys.argv[1]
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s = file_to_str(fname)
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s = file2str(fname)
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else:
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print('I can accept at most 2 arguments.')
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sys.exit()# 结束程序运行， 下面的代码不会被执行了。
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@ -112,9 +112,12 @@ if __name__ == '__main__':
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else:
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d = {}
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print(sort_in_descending_order(pickle_idea.dict_to_lst(d)))
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print(sort_in_descending_order(pickle_idea.dict2lst(d)))
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# 合并频率
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lst_history = pickle_idea.dict_to_lst(d)
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lst_history = pickle_idea.dict2lst(d)
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d = pickle_idea.merge_frequency(L, lst_history)
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pickle_idea.save_frequency_to_pickle(d, 'frequency.p')
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@ -1,4 +1,4 @@
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Flask==2.2.3
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Flask==1.1.2
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selenium==3.141.0
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PyYAML~=6.0
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pony==0.7.16
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