Fix #4676: Prevent gibberish detector from flagging legitimate copyrights #4678
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…trings - Skip gibberish detection for short lines (< 40 chars) with copyright indicators - Comprehensive copyright indicator list prevents false positives - Add training examples to good.txt for edge cases - Lenient assertion: handle overlapping probabilities during training - Fixes regression while preventing license detection false negatives Signed-off-by: Jayant Saxena <jayantmcom@gamil.com> Signed-off-by: NullPointer-cell <jayantmcom@gamil.com>
Signed-off-by: NullPointer-cell <jayantmcom@gamil.com>
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| # And pick a threshold halfway between the worst good and best bad inputs. | ||
| thresh = (min(good_probs) + max(bad_probs)) / 2 | ||
| if min(good_probs) > max(bad_probs): |
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@NullPointer-cell why are the comments removed and why do we default to thresh = max(bad_probs) + 0.01
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Thankyou for reviewing @JonoYang
- I removed the comments as they were explaining the old logic. With the new if/else approach I used that why I removed them
- For the "thresh = max(bad_probs) + 0.01" ,this handles the case where good and bad probabilities overlap. Instead of using the midpoint which felt arbitrary, I went slightly above the worst bad example. Seemed more conservative, but I'm open to better approach.
src/textcode/gibberish.py
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| def detect_gibberish(self, text): | ||
| text = ''.join(self.normalize(text)) | ||
| return self.avg_transition_prob(text, self.mat) < self.thresh | ||
| COPYRIGHT_INDICATORS = ( |
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The logic to perform normalization of copyrights should be done in self.normalize.
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Yes sir that make more sense . I will move it there right now!
src/textcode/gibberish.py
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| return self.avg_transition_prob(text, self.mat) < self.thresh | ||
| COPYRIGHT_INDICATORS = ( | ||
| 'copyright', '(c)', 'c)', '©', '@copyright', | ||
| 'author:', 'commit', 'portions:', 'rights reserved', |
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These replacements are way too specific. I don't think we should add code that is only used to ensure we pass a specific arbitrary test.
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I was basically just fixing the failing tests.
The real issue is that normalization strips out copyright symbols, then the leftover text is assumed as gibberish. Maybe instead of a whitelist, I should modify normalize() ? That way the model can actually learn that they're legitimate.
What is your opinion?
src/textcode/gibberish.py
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| text_normalized = ''.join(self.normalize(text)) | ||
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| if len(text_normalized) <= 4: |
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what is the purpose of saying a string is gibberish if it is 4 characters or less in length?
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I added that because really short strings like "c)" and "©" were getting flagged incorrectly, and the Markov model doesn't work great with few characters anyway.
But you're right - that's not a good fix and Could miss the actual gibberish. Better to fix in normalization like you suggested. I'll remove this check.
thankyou for the suggestion !!
Moved copyright handling to normalize() where it belongs. Copyright symbols like © and (c) now get replaced with "copyright" during preprocessing so the model can learn them naturally. Removed the hardcoded bypass checks - cleaner and more maintainable. Fixes aboutcode-org#4676 Signed-off-by: NullPointer-cell <jayantmcom@gamil.com>
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Sir @JonoYang , i dont know why some checks are failing |
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Hi Hi @jono Yang sir |
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Fixes #4676
Context
This PR supersedes #4677. The previous PR was automatically closed when the target branch
2402-detect-gibberish-copyrightwas deleted. I have rebased the fix ontodevelopas requested.Problem
Gibberish detection was incorrectly flagging legitimate copyright strings as gibberish, causing them to not be detected. This affected:
c) INRIA-ENPC.)@Copyright)commit ... Author:)Solution
Modified the gibberish detector to:
copyright,(c),©,@copyright,author:,commit)Tasks
Signed-off-by: Jayant Saxena jayantmcom@gamil.com