FFAST: Fast Fourier Analysis for Sentence embeddings and Tokenisation. 

Supply Chain Attack on Axios Pulls Malicious Dependency from npm

ffast

FFAST: Fast Fourier Analysis for Sentence embeddings and Tokenisation

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Bin script confusion

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Chrome: Content Script

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		Metadata-Version: 2.1
		Name: ffast
		Version: 0.4.6
		Version: 0.4.7
		Summary: FFAST: Fast Fourier Analysis for Sentence embeddings and Tokenisation
		@@ -5,0 +5,0 @@ Home-page: UNKNOWN

		@@ -21,4 +21,4 @@ README.md
		ffast/wordnet/utils.py
		ffast/wordnet/nltk_data/corpora/omw-1.4.zip
		ffast/wordnet/nltk_data/corpora/stopwords.zip
		ffast/wordnet/nltk_data/corpora/wordnet.zip
		ffast/wordnet/nltk_data/corpora/stopwords/english
		ffast/wordnet/nltk_data/corpora/wordnet.zip

		@@ -1,2 +0,2 @@
		__version__ = "0.4.6"
		__version__ = "0.4.7"
		WORDNET = "wordnet"
		@@ -3,0 +3,0 @@ POINCARE = "poincare"

		Metadata-Version: 2.1
		Name: ffast
		Version: 0.4.6
		Version: 0.4.7
		Summary: FFAST: Fast Fourier Analysis for Sentence embeddings and Tokenisation
		@@ -5,0 +5,0 @@ Home-page: UNKNOWN

		@@ -21,3 +21,3 @@ # ffast
		## Changelog
		- 0.4.6 nltk data no longer needs downloading
		- 0.4.7 nltk data no longer needs downloading
		- 0.3.16 poincare weights for stopwords forced to 0.
		@@ -24,0 +24,0 @@ - 0.3.15 bug fixes, import norm. filter expression. min,max clash with numpy

ffast - pypi Package Compare versions

Improved metrics

		from setuptools import setup, find_packages
		#from glob import glob
		from glob import glob

		VERSION = '0.4.6'
		VERSION = '0.4.7'
		DESCRIPTION = 'FFAST: Fast Fourier Analysis for Sentence embeddings and Tokenisation'
		LONG_DESCRIPTION = 'Fast and lightweight NLP pipeline for ML tasks: powerful tokeniser and (model-free) sentence embeddings using Fast Fourier transforms, power means, positional encoding and Wordnet or Poincare Embeddings'
		#WORDNET_FILENAMES = glob('wordnet/nltk_data/corpora/wordnet/*')

		@@ -22,6 +21,7 @@ setup(
		'poincare/poincare.txt',
		'wordnet/nltk_data/corpora/stopwords/english',
		'wordnet/nltk_data/corpora/wordnet.zip',
		'wordnet/nltk_data/corpora/omw-1.4.zip',
		'wordnet/nltk_data/corpora/stopwords.zip',
		'wordnet/nltk_data/corpora/wordnet.zip',
		]},
		] + glob('wordnet/nltk_data/corpora/stopwords/*')
		},
		install_requires=['nltk', 'jellyfish', 'Unidecode', 'numpy', 'scipy'],
		@@ -28,0 +28,0 @@ keywords=['python', 'embedding', 'tokenisation', 'fast fourier', 'nlp', 'nlu', "poincare", "wordnet", "lite", "fast", "sentence encoder"],