Several minor issues when running tests on ClassEval.

[ztwater]

Thanks for your contribution with a class-level context-dependent method generation benchmark. Here are some minor problems I found when I inspected the test results. I downloaded this benchmark in August and maybe some of them have been fixed up to now.

1. 测试方法中所依赖的python包需要提前安装，建议可以给一个list，否则会导致运行测试时大量的NameError。

2. ClassEval_5_display 返回值应该是string而非None

3. ClassEval_44_format_line_html_text 测试代码中多了from benchmark_code.HtmlUtil import HtmlUtil

4. ClassEval_49_search_jobs :param criteria: The requirements of the position,list. 实际上输入是字符串，e.g., 'skill1'

5. ClassEval_50 类名是JSONProcessor，实际文件命名为JSONHandler

6. ClassEval_52_lemmatize_sentence "solution_code"删去nltk download语句，下载nltk对应包，放到环境中，防止测试超时的问题

7. ClassEval_60_create_table 方法描述中的字段名写错，'author name'应该是'theater_name'

8. ClassEval_69_extract_text_from_pdfs 方法的测试代码少了一个测试类

9. ClassEval_94_display_items :return: If the vending machine is empty, returns False, otherwise, returns a list of the products in the vending machine, list. 实际测试用例写的是返回 string

[DXY-lemon]

非常感谢您的反馈！我们会仔细检查这些问题并且重新发布升级后的benchmark以及所需的list

[DXY-lemon]

我们已经修复您提到的问题，重新发布了1.1.0版本的classeval数据，并且更新了requirements

[ztwater]

感谢你们的迅速回复和处理！ClassEval是一个对领域很有价值的benchmark，期待它的影响力越来越大。