More precise testing of plugins #935
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Instead of relying on a count of the severity and confidence levels found within an example file, make use of Python's native unit testing to verify the results of a plugin. The existing method of confirming counts can be inaccurate. It's very easy to have a false positive simply because one issue extra was found and one issue was missed, thus giving the same count. It tells nothing of the validation of a particular line of problematic code. Relates to PyCQA#352 Signed-off-by: Eric Brown <eric_wade_brown@yahoo.com>
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Instead of relying on a count of the severity and confidence
levels found within an example file, make use of Python's native
unit testing to verify the results of a plugin.
The existing method of confirming counts can be inaccurate. It's
very easy to have a false positive simply because one issue extra
was found and one issue was missed, thus giving the same count. It
tells nothing of the validation of a particular line of problematic
code.
Relates to #352
Signed-off-by: Eric Brown eric_wade_brown@yahoo.com