keras-team/keras-preprocessing

Adding tests for Exception error messages

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#31 建立於 2018年8月2日

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 (1 留言) (0 反應) (0 負責人)Python (1,028 star) (453 fork)batch import
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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)

貢獻者指南

技術棧
pythonnumpy
領域
backenddata
議題類型
test
難度面向新貢獻者的預計實作難度，1 表示很小改動，5 表示專家級工作。
2
預計時間有經驗貢獻者完成調查、實作、測試並準備 pull request 的粗略時間範圍。
1-3 hours
活動狀態議題目前的可參與程度：新鮮、活躍、陳舊、阻塞或等待維護者輸入。
stale
清晰度議題是否清楚說明預期改動、驗收標準和下一步。
clear
前置要求
pytest basicsPython testingkeras preprocessing code structure
新手友善度1-100 的估計分數，表示該議題對首次貢獻者的友善程度。
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.
Adding tests for Exception error messages · keras-team/keras-preprocessing#31 | Good First Issue