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Adversarial-Deep-Learning / code-soup

This is a collection of algorithms and approaches used in the book adversarial deep learning
MIT License
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PWWS Attack #101

Open abheesht17 opened 3 years ago

abheesht17 commented 3 years ago
codecov[bot] commented 3 years ago

Codecov Report

Merging #101 (2741c0c) into main (191a0a9) will decrease coverage by 4.84%. The diff coverage is 85.90%.

@@             Coverage Diff             @@
##              main     #101      +/-   ##
===========================================
- Coverage   100.00%   95.15%   -4.85%     
===========================================
  Files           17       28      +11     
  Lines          704     1073     +369     
===========================================
+ Hits           704     1021     +317     
- Misses           0       52      +52
Impacted Files Coverage Δ
code_soup/ch8/pwws.py 65.64% <65.64%> (ø)
code_soup/common/text/utils/metrics.py 95.83% <95.83%> (ø)
code_soup/common/text/utils/word_substitute.py 96.36% <96.36%> (ø)
...soup/common/text/models/transformers_classifier.py 96.62% <96.62%> (ø)
code_soup/common/text/utils/tokenizer.py 97.91% <97.91%> (ø)
code_soup/common/text/datasets/utils.py 100.00% <100.00%> (ø)
code_soup/common/text/models/classifier.py 100.00% <100.00%> (ø)
code_soup/common/text/utils/exceptions.py 100.00% <100.00%> (ø)
code_soup/common/text/utils/misc.py 100.00% <100.00%> (ø)
code_soup/common/text/utils/word_embedding.py 100.00% <100.00%> (ø)
... and 1 more
abheesht17 commented 2 years ago

@someshsingh22 , please have a look.