删除测试代码
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8f132ed87b
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@ -63,9 +63,7 @@ def get_today_article(user_word_list, had_read_articles):
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if amount_of_had_read_articles == amount_of_existing_articles: # 如果当前阅读过的文章的数量 == 存在的文章的数量,即所有的书本都阅读过了
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if amount_of_had_read_articles == amount_of_existing_articles: # 如果当前阅读过的文章的数量 == 存在的文章的数量,即所有的书本都阅读过了
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result_of_generate_article = "had read all articles"
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result_of_generate_article = "had read all articles"
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else:
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else:
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test_count = 0
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for k in range(3): # 最多尝试3次
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for k in range(3): # 最多尝试3次
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test_count += 1
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for reading in result:
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for reading in result:
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text_level = text_difficulty_level(reading['text'], d3)
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text_level = text_difficulty_level(reading['text'], d3)
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factor = random.gauss(0.8, 0.1) # a number drawn from Gaussian distribution with a mean of 0.8 and a stand deviation of 1
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factor = random.gauss(0.8, 0.1) # a number drawn from Gaussian distribution with a mean of 0.8 and a stand deviation of 1
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@ -76,7 +74,6 @@ def get_today_article(user_word_list, had_read_articles):
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break
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break
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if result_of_generate_article == "found": # 用于成功找到文章后及时退出外层循环
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if result_of_generate_article == "found": # 用于成功找到文章后及时退出外层循环
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break
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break
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print(test_count)
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if result_of_generate_article != "found": # 阅读完所有文章,或者循环3次没有找到适合的文章,则对 index+=1 进行回滚
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if result_of_generate_article != "found": # 阅读完所有文章,或者循环3次没有找到适合的文章,则对 index+=1 进行回滚
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had_read_articles["index"] -= 1
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had_read_articles["index"] -= 1
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else: # 生成已经阅读过的文章
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else: # 生成已经阅读过的文章
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