keras-team/keras-preprocessing

Adding tests for Exception error messages

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#31 创建于 2018年8月2日

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 (1 评论) (0 反应) (0 负责人)Python (1,028 star) (453 fork)batch import
good first issuehelp wanted

描述

If any contributor is feeling up for it, it would be good to add unit tests that check that appropriate error messages are getting raised in various situations not yet covered. It seems that a few error messages were previously incorrectly formatted, because we don't have unit tests for some of these exceptions.

We have some such unit tests already, which look like this:

with pytest.raises(ValueError) as e_info:
      generator.flow((images, x_misc_err), np.arange(dsize), batch_size=3)
      assert 'All of the arrays in' in str(e_info.value)

贡献者指南

技术栈
pythonnumpy
领域
backenddata
议题类型
test
难度面向新贡献者的预计实现难度，1 表示很小改动，5 表示专家级工作。
2
预计时间有经验贡献者完成调查、实现、测试并准备 pull request 的粗略时间范围。
1-3 hours
活动状态议题当前的可参与程度：新鲜、活跃、陈旧、阻塞或等待维护者输入。
stale
清晰度议题是否清楚说明期望改动、验收标准和下一步。
clear
前置要求
pytest basicsPython testingkeras preprocessing code structure
新手友好度1-100 的估计分数，表示该议题对首次贡献者的友好程度。
85
研究方向
Examine existing test files in the repository for examples of error message testing. Identify uncovered exception paths in the codebase and write pytest assertions to verify the error messages. Ensure tests follow the pattern shown in the issue: using pytest.raises and checking str(e info.value). Focus on ValueError and other exceptions raised in the preprocessing functions.