forked from mrlan/EnglishPal
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Bug488-Tan
...
master
Author | SHA1 | Date |
---|---|---|
丁晟晔 | ff6286cf01 | |
丁晟晔 | 1d7e61d751 | |
顾涵 | 708a6a2821 | |
顾涵 | 688a198768 | |
寻宇灿 | 1543b3095d | |
寻宇灿 | c6bf323c60 | |
寻宇灿 | 03ccb3527a | |
Hui Lan | b41e1044bc | |
Hui Lan | 67e921ba60 | |
Hui Lan | a5c3564f15 | |
Hui Lan | 1295616d5b | |
俞黄焘 | c151a0efaa | |
顾涵 | 030b89706e | |
Hui Lan | 349488167b | |
俞黄焘 | 39d96014d9 | |
顾涵 | acd8db6e3e | |
顾涵 | 9f3f5b43e1 |
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@ -7,7 +7,7 @@ import random, glob
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import hashlib
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import hashlib
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from datetime import datetime
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from datetime import datetime
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from flask import Flask, request, redirect, render_template, url_for, session, abort, flash, get_flashed_messages
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from flask import Flask, request, redirect, render_template, url_for, session, abort, flash, get_flashed_messages
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from difficulty import get_difficulty_level, text_difficulty_level, user_difficulty_level
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from difficulty import get_difficulty_level_for_user, text_difficulty_level, user_difficulty_level
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path_prefix = '/var/www/wordfreq/wordfreq/'
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path_prefix = '/var/www/wordfreq/wordfreq/'
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@ -53,7 +53,7 @@ def get_today_article(user_word_list, visited_articles):
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# Choose article according to reader's level
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# Choose article according to reader's level
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d1 = load_freq_history(path_prefix + 'static/frequency/frequency.p')
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d1 = load_freq_history(path_prefix + 'static/frequency/frequency.p')
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d2 = load_freq_history(path_prefix + 'static/words_and_tests.p')
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d2 = load_freq_history(path_prefix + 'static/words_and_tests.p')
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d3 = get_difficulty_level(d1, d2)
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d3 = get_difficulty_level_for_user(d1, d2)
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d = None
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d = None
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result_of_generate_article = "not found"
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result_of_generate_article = "not found"
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@ -8,6 +8,7 @@
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import pickle
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import pickle
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import math
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import math
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from wordfreqCMD import remove_punctuation, freq, sort_in_descending_order, sort_in_ascending_order
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from wordfreqCMD import remove_punctuation, freq, sort_in_descending_order, sort_in_ascending_order
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import snowballstemmer
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def load_record(pickle_fname):
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def load_record(pickle_fname):
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@ -17,40 +18,50 @@ def load_record(pickle_fname):
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return d
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return d
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def difficulty_level_from_frequency(word, d):
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def convert_test_type_to_difficulty_level(d):
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level = 1
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"""
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if not word in d:
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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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return level
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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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L = list(d.keys()) # in d, we have test types (e.g., CET4,CET6,BBC) for each word
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if 'what' in d:
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for k in L:
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ratio = (d['what']+1)/(d[word]+1) # what is a frequent word
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if 'CET4' in d[k]:
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level = math.log( max(ratio, 1), 2)
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result[k] = 4 # CET4 word has level 4
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elif 'OXFORD3000' in d[k]:
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result[k] = 5
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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 d[k] or 'IELTS' in d[k]:
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result[k] = 7
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elif 'BBC' in d[k]:
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result[k] = 8
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level = min(level, 8)
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return result # {'apple': 4, ...}
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return level
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def get_difficulty_level(d1, d2):
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def get_difficulty_level_for_user(d1, d2):
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d = {}
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"""
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L = list(d1.keys()) # in d1, we have freuqence for each word
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d2 来自于词库的35511个已标记单词
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L2 = list(d2.keys()) # in d2, we have test types (e.g., CET4,CET6,BBC) for each word
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d1 用户不会的词
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L.extend(L2)
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在d2的后面添加单词,没有新建一个新的字典
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L3 = list(set(L)) # L3 contains all words
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"""
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for k in L3:
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# TODO: convert_test_type_to_difficulty_level() should not be called every time. Each word's difficulty level should be pre-computed.
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if k in d2:
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d2 = convert_test_type_to_difficulty_level(d2) # 根据d2的标记评级{'apple': 4, 'abandon': 4, ...}
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if 'CET4' in d2[k]:
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stemmer = snowballstemmer.stemmer('english')
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d[k] = 4 # CET4 word has level 4
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elif 'CET6' in d2[k]:
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d[k] = 6
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elif 'BBC' in d2[k]:
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d[k] = 8
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if k in d1: # BBC could contain easy words that are not in CET4 or CET6. So 4 is not reasonable. Recompute difficulty level.
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d[k] = min(difficulty_level_from_frequency(k, d1), d[k])
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elif k in d1:
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d[k] = difficulty_level_from_frequency(k, d1)
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return d
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for k in d1: # 用户的词
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if k in d2: # 如果用户的词以原型的形式存在于词库d2中
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continue # 无需评级,跳过
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else:
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stem = stemmer.stemWord(k)
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if stem in d2: # 如果用户的词的词根存在于词库d2的词根库中
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d2[k] = d2[stem] # 按照词根进行评级
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else:
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d2[k] = 3 # 如果k的词根都不在,那么就当认为是3级
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return d2
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def revert_dict(d):
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def revert_dict(d):
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@ -62,12 +73,13 @@ def revert_dict(d):
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for k in d:
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for k in d:
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if type(d[k]) is list: # d[k] is a list of dates.
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if type(d[k]) is list: # d[k] is a list of dates.
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lst = d[k]
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lst = d[k]
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elif type(d[k]) is int: # for backward compatibility. d was sth like {'word':1}. The value d[k] is not a list of dates, but a number representing how frequent this word had been added to the new word book.
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elif type(d[
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k]) is int: # for backward compatibility. d was sth like {'word':1}. The value d[k] is not a list of dates, but a number representing how frequent this word had been added to the new word book.
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freq = d[k]
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freq = d[k]
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lst = freq*['2021082019'] # why choose this date? No particular reasons. I fix the bug in this date.
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lst = freq * ['2021082019'] # why choose this date? No particular reasons. I fix the bug in this date.
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for time_info in lst:
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for time_info in lst:
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date = time_info[:10] # until hour
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date = time_info[:10] # until hour
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if not date in d2:
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if not date in d2:
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d2[date] = [k]
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d2[date] = [k]
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else:
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else:
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@ -76,42 +88,44 @@ def revert_dict(d):
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def user_difficulty_level(d_user, d):
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def user_difficulty_level(d_user, d):
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d_user2 = revert_dict(d_user) # key is date, and value is a list of words added in that date
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d_user2 = revert_dict(d_user) # key is date, and value is a list of words added in that date
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count = 0
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count = 0
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geometric = 1
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geometric = 1
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for date in sorted(d_user2.keys(), reverse=True): # most recently added words are more important while determining user's level
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for date in sorted(d_user2.keys(),
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lst = d_user2[date] # a list of words
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reverse=True): # most recently added words are more important while determining user's level
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lst2 = [] # a list of tuples, (word, difficulty level)
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lst = d_user2[date] # a list of words
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for word in lst:
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lst2 = [] # a list of tuples, (word, difficulty level)
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for word in lst:
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if word in d:
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if word in d:
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lst2.append((word, d[word]))
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lst2.append((word, d[word]))
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lst3 = sort_in_ascending_order(lst2) # easiest tuple first
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lst3 = sort_in_ascending_order(lst2) # easiest tuple first
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#print(lst3)
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# print(lst3)
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for t in lst3:
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for t in lst3:
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word = t[0]
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word = t[0]
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hard = t[1]
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hard = t[1]
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#print('WORD %s HARD %4.2f' % (word, hard))
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# print('WORD %s HARD %4.2f' % (word, hard))
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geometric = geometric * (hard)
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geometric = geometric * (hard)
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count += 1
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count += 1
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if count >= 10:
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if count >= 10:
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return geometric**(1/count)
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return geometric ** (1 / count)
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return geometric**(1/max(count,1))
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return geometric ** (1 / max(count, 1))
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def text_difficulty_level(s, d):
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def text_difficulty_level(s, d):
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s = remove_punctuation(s)
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s = remove_punctuation(s)
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L = freq(s)
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L = freq(s)
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lst = [] # a list of tuples, each tuple being (word, difficulty level)
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lst = [] # a list of tuples, each tuple being (word, difficulty level)
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stop_words = {'the':1, 'and':1, 'of':1, 'to':1, 'what':1, 'in':1, 'there':1, 'when':1, 'them':1, 'would':1, 'will':1, 'out':1, 'his':1, 'mr':1, 'that':1, 'up':1, 'more':1, 'your':1, 'it':1, 'now':1, 'very':1, 'then':1, 'could':1, 'he':1, 'any':1, 'some':1, 'with':1, 'into':1, 'you':1, 'our':1, 'man':1, 'other':1, 'time':1, 'was':1, 'than':1, 'know':1, 'about':1, 'only':1, 'like':1, 'how':1, 'see':1, 'is':1, 'before':1, 'such':1, 'little':1, 'two':1, 'its':1, 'as':1, 'these':1, 'may':1, 'much':1, 'down':1, 'for':1, 'well':1, 'should':1, 'those':1, 'after':1, 'same':1, 'must':1, 'say':1, 'first':1, 'again':1, 'us':1, 'great':1, 'where':1, 'being':1, 'come':1, 'over':1, 'good':1, 'himself':1, 'am':1, 'never':1, 'on':1, 'old':1, 'here':1, 'way':1, 'at':1, 'go':1, 'upon':1, 'have':1, 'had':1, 'without':1, 'my':1, 'day':1, 'be':1, 'but':1, 'though':1, 'from':1, 'not':1, 'too':1, 'another':1, 'this':1, 'even':1, 'still':1, 'her':1, 'yet':1, 'under':1, 'by':1, 'let':1, 'just':1, 'all':1, 'because':1, 'we':1, 'always':1, 'off':1, 'yes':1, 'so':1, 'while':1, 'why':1, 'which':1, 'me':1, 'are':1, 'or':1, 'no':1, 'if':1, 'an':1, 'also':1, 'thus':1, 'who':1, 'cannot':1, 'she':1, 'whether':1} # ignore these words while computing the artile's difficulty level
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for x in L:
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for x in L:
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word = x[0]
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word = x[0]
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if word in d:
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if word not in stop_words and word in d:
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lst.append((word, d[word]))
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lst.append((word, d[word]))
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lst2 = sort_in_descending_order(lst) # most difficult words on top
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lst2 = sort_in_descending_order(lst) # most difficult words on top
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#print(lst2)
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# print(lst2)
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count = 0
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count = 0
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geometric = 1
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geometric = 1
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for t in lst2:
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for t in lst2:
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@ -119,24 +133,20 @@ def text_difficulty_level(s, d):
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hard = t[1]
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hard = t[1]
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geometric = geometric * (hard)
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geometric = geometric * (hard)
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count += 1
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count += 1
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if count >= 20: # we look for n most difficult words
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if count >= 20: # we look for n most difficult words
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return geometric**(1/count)
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return geometric ** (1 / count)
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return geometric**(1/max(count,1))
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return geometric ** (1 / max(count, 1))
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if __name__ == '__main__':
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if __name__ == '__main__':
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d1 = load_record('frequency.p')
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d1 = load_record('frequency.p')
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#print(d1)
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# print(d1)
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d2 = load_record('words_and_tests.p')
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d2 = load_record('words_and_tests.p')
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#print(d2)
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# print(d2)
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d3 = get_difficulty_level_for_user(d1, d2)
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d3 = get_difficulty_level(d1, d2)
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s = '''
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s = '''
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South Lawn
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South Lawn
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@ -197,7 +207,6 @@ Amidst the aftermath of this shocking referendum vote, there is great uncertaint
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'''
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'''
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s = '''
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s = '''
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British Prime Minister Boris Johnson walks towards a voting station during the Brexit referendum in Britain, June 23, 2016. (Photo: EPA-EFE)
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British Prime Minister Boris Johnson walks towards a voting station during the Brexit referendum in Britain, June 23, 2016. (Photo: EPA-EFE)
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@ -218,7 +227,6 @@ The prime minister was forced to ask for an extension to Britain's EU departure
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Johnson has repeatedly pledged to finalize the first stage, a transition deal, of Britain's EU divorce battle by Oct. 31. A second stage will involve negotiating its future relationship with the EU on trade, security and other salient issues.
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Johnson has repeatedly pledged to finalize the first stage, a transition deal, of Britain's EU divorce battle by Oct. 31. A second stage will involve negotiating its future relationship with the EU on trade, security and other salient issues.
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'''
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'''
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s = '''
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s = '''
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Thank you very much. We have a Cabinet meeting. We’ll have a few questions after grace. And, if you would, Ben, please do the honors.
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Thank you very much. We have a Cabinet meeting. We’ll have a few questions after grace. And, if you would, Ben, please do the honors.
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@ -233,17 +241,11 @@ We need — for our farmers, our manufacturers, for, frankly, unions and non-uni
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'''
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'''
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# f = open('bbc-fulltext/bbc/entertainment/001.txt')
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#f = open('bbc-fulltext/bbc/entertainment/001.txt')
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f = open('wordlist.txt')
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f = open('wordlist.txt')
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s = f.read()
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s = f.read()
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f.close()
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f.close()
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print(text_difficulty_level(s, d3))
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print(text_difficulty_level(s, d3))
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@ -7,6 +7,7 @@ css:
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js:
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js:
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head: # 在页面加载之前加载
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head: # 在页面加载之前加载
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- ../static/js/jquery.js
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- ../static/js/jquery.js
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- ../static/js/read.js
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- ../static/js/word_operation.js
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- ../static/js/word_operation.js
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bottom: # 在页面加载完之后加载
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bottom: # 在页面加载完之后加载
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- ../static/js/fillword.js
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- ../static/js/fillword.js
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@ -1,9 +1,5 @@
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let isRead = true;
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let isRead = true;
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let isChoose = true;
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let isChoose = true;
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let reader = window.speechSynthesis; // 全局定义朗读者,以便朗读和暂停
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let current_position = 0; // 朗读文本的当前位置
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let original_position = 0; // 朗读文本的初始位置
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let to_speak = ""; // 朗读的初始内容
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function getWord() {
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function getWord() {
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return window.getSelection ? window.getSelection() : document.selection.createRange().text;
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return window.getSelection ? window.getSelection() : document.selection.createRange().text;
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@ -11,7 +7,7 @@ function getWord() {
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function fillInWord() {
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function fillInWord() {
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let word = getWord();
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let word = getWord();
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if (isRead) read(word);
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if (isRead) Reader.read(word, inputSlider.value);
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if (!isChoose) return;
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if (!isChoose) return;
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const element = document.getElementById("selected-words");
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const element = document.getElementById("selected-words");
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element.value = element.value + " " + word;
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element.value = element.value + " " + word;
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@ -19,50 +15,17 @@ function fillInWord() {
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document.getElementById("text-content").addEventListener("click", fillInWord, false);
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document.getElementById("text-content").addEventListener("click", fillInWord, false);
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function makeUtterance(str, rate) {
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const sliderValue = document.getElementById("rangeValue");
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let msg = new SpeechSynthesisUtterance(str);
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const inputSlider = document.getElementById("rangeComponent");
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msg.rate = rate;
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msg.lang = "en-US"; // TODO: add language options menu
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msg.onboundary = ev => {
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if (ev.name == "word") {
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current_position = ev.charIndex;
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}
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}
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return msg;
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}
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const sliderValue = document.getElementById("rangeValue"); // 显示值
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|
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const inputSlider = document.getElementById("rangeComponent"); // 滑块元素
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|
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inputSlider.oninput = () => {
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inputSlider.oninput = () => {
|
||||||
let value = inputSlider.value; // 获取滑块的值
|
let value = inputSlider.value;
|
||||||
sliderValue.textContent = value + '×';
|
sliderValue.textContent = value + '×';
|
||||||
if (!reader.speaking) return;
|
|
||||||
reader.cancel();
|
|
||||||
let msg = makeUtterance(to_speak.substring(original_position + current_position), value);
|
|
||||||
original_position = original_position + current_position;
|
|
||||||
current_position = 0;
|
|
||||||
reader.speak(msg);
|
|
||||||
};
|
};
|
||||||
|
|
||||||
function read(s) {
|
|
||||||
to_speak = s.toString();
|
|
||||||
original_position = 0;
|
|
||||||
current_position = 0;
|
|
||||||
let msg = makeUtterance(to_speak, inputSlider.value);
|
|
||||||
reader.speak(msg);
|
|
||||||
}
|
|
||||||
|
|
||||||
function onReadClick() {
|
function onReadClick() {
|
||||||
isRead = !isRead;
|
isRead = !isRead;
|
||||||
if (!isRead) {
|
|
||||||
reader.cancel();
|
|
||||||
}
|
|
||||||
}
|
}
|
||||||
|
|
||||||
function onChooseClick() {
|
function onChooseClick() {
|
||||||
isChoose = !isChoose;
|
isChoose = !isChoose;
|
||||||
}
|
}
|
||||||
|
|
||||||
function stopRead() {
|
|
||||||
reader.cancel();
|
|
||||||
}
|
|
|
@ -0,0 +1,35 @@
|
||||||
|
var Reader = (function() {
|
||||||
|
let reader = window.speechSynthesis;
|
||||||
|
let current_position = 0;
|
||||||
|
let original_position = 0;
|
||||||
|
let to_speak = "";
|
||||||
|
|
||||||
|
function makeUtterance(str, rate) {
|
||||||
|
let msg = new SpeechSynthesisUtterance(str);
|
||||||
|
msg.rate = rate;
|
||||||
|
msg.lang = "en-US";
|
||||||
|
msg.onboundary = ev => {
|
||||||
|
if (ev.name == "word") {
|
||||||
|
current_position = ev.charIndex;
|
||||||
|
}
|
||||||
|
}
|
||||||
|
return msg;
|
||||||
|
}
|
||||||
|
|
||||||
|
function read(s, rate) {
|
||||||
|
to_speak = s.toString();
|
||||||
|
original_position = 0;
|
||||||
|
current_position = 0;
|
||||||
|
let msg = makeUtterance(to_speak, rate);
|
||||||
|
reader.speak(msg);
|
||||||
|
}
|
||||||
|
|
||||||
|
function stopRead() {
|
||||||
|
reader.cancel();
|
||||||
|
}
|
||||||
|
|
||||||
|
return {
|
||||||
|
read: read,
|
||||||
|
stopRead: stopRead
|
||||||
|
};
|
||||||
|
})();
|
|
@ -62,6 +62,13 @@ function delete_word(theWord) {
|
||||||
});
|
});
|
||||||
}
|
}
|
||||||
|
|
||||||
|
function read_word(theWord) {
|
||||||
|
let to_speak = $("#word_" + theWord).text();
|
||||||
|
original_position = 0;
|
||||||
|
current_position = 0;
|
||||||
|
Reader.read(to_speak, inputSlider.value);
|
||||||
|
}
|
||||||
|
|
||||||
/*
|
/*
|
||||||
* interface Word {
|
* interface Word {
|
||||||
* word: string,
|
* word: string,
|
||||||
|
@ -95,6 +102,7 @@ function wordTemplate(word) {
|
||||||
<a class="btn btn-success" onclick="familiar('${word.word}')" role="button">熟悉</a>
|
<a class="btn btn-success" onclick="familiar('${word.word}')" role="button">熟悉</a>
|
||||||
<a class="btn btn-warning" onclick="unfamiliar('${word.word}')" role="button">不熟悉</a>
|
<a class="btn btn-warning" onclick="unfamiliar('${word.word}')" role="button">不熟悉</a>
|
||||||
<a class="btn btn-danger" onclick="delete_word('${word.word}')" role="button">删除</a>
|
<a class="btn btn-danger" onclick="delete_word('${word.word}')" role="button">删除</a>
|
||||||
|
<a class="btn btn-info" onclick="read_word('${word.word}')" role="button">朗读</a>
|
||||||
</p>`;
|
</p>`;
|
||||||
}
|
}
|
||||||
|
|
||||||
|
|
Binary file not shown.
|
@ -133,6 +133,7 @@
|
||||||
<a class="btn btn-success" onclick="familiar('{{ word }}')" role="button">熟悉</a>
|
<a class="btn btn-success" onclick="familiar('{{ word }}')" role="button">熟悉</a>
|
||||||
<a class="btn btn-warning" onclick="unfamiliar('{{ word }}')" role="button">不熟悉</a>
|
<a class="btn btn-warning" onclick="unfamiliar('{{ word }}')" role="button">不熟悉</a>
|
||||||
<a class="btn btn-danger" onclick="delete_word('{{ word }}')" role="button">删除</a>
|
<a class="btn btn-danger" onclick="delete_word('{{ word }}')" role="button">删除</a>
|
||||||
|
<a class="btn btn-info" onclick="read_word('{{ word }}')" role="button">朗读</a>
|
||||||
</p>
|
</p>
|
||||||
{% endfor %}
|
{% endfor %}
|
||||||
</div>
|
</div>
|
||||||
|
|
|
@ -39,8 +39,7 @@ def file2str(fname):#文件转字符
|
||||||
|
|
||||||
|
|
||||||
def remove_punctuation(s): # 这里是s是形参 (parameter)。函数被调用时才给s赋值。
|
def remove_punctuation(s): # 这里是s是形参 (parameter)。函数被调用时才给s赋值。
|
||||||
special_characters = '\_©~<=>+-/[]*&$%^@.,?!:;#()"“”—‘’{}|《》【】、!¥();:?。,' # 把里面的字符都去掉
|
special_characters = '\_©~<=>+/[]*&$%^@.,?!:;#()"“”—‘’{}|' # 把里面的字符都去掉
|
||||||
|
|
||||||
for c in special_characters:
|
for c in special_characters:
|
||||||
s = s.replace(c, ' ') # 防止出现把 apple,apple 移掉逗号后变成 appleapple 情况
|
s = s.replace(c, ' ') # 防止出现把 apple,apple 移掉逗号后变成 appleapple 情况
|
||||||
s = s.replace('--', ' ')
|
s = s.replace('--', ' ')
|
||||||
|
@ -104,7 +103,6 @@ if __name__ == '__main__':
|
||||||
for x in sort_in_descending_order(L):
|
for x in sort_in_descending_order(L):
|
||||||
print('%s\t%d\t%s' % (x[0], x[1], youdao_link(x[0])))#函数导出
|
print('%s\t%d\t%s' % (x[0], x[1], youdao_link(x[0])))#函数导出
|
||||||
|
|
||||||
|
|
||||||
# 把频率的结果放result.html中
|
# 把频率的结果放result.html中
|
||||||
make_html_page(sort_in_descending_order(L), 'result.html')
|
make_html_page(sort_in_descending_order(L), 'result.html')
|
||||||
|
|
||||||
|
@ -119,7 +117,6 @@ if __name__ == '__main__':
|
||||||
# 合并频率
|
# 合并频率
|
||||||
lst_history = pickle_idea.dict2lst(d)
|
lst_history = pickle_idea.dict2lst(d)
|
||||||
d = pickle_idea.merge_frequency(L, lst_history)
|
d = pickle_idea.merge_frequency(L, lst_history)
|
||||||
|
|
||||||
pickle_idea.save_frequency_to_pickle(d, 'frequency.p')
|
pickle_idea.save_frequency_to_pickle(d, 'frequency.p')
|
||||||
|
|
||||||
|
|
||||||
|
|
|
@ -1,3 +1,5 @@
|
||||||
Flask==1.1.2
|
Flask==1.1.2
|
||||||
selenium==3.141.0
|
selenium==3.141.0
|
||||||
PyYAML~=6.0
|
PyYAML~=6.0
|
||||||
|
pony==0.7.16
|
||||||
|
snowballstemmer==2.2.0
|
||||||
|
|
Loading…
Reference in New Issue