New Research: Supply Chain Attack on Axios Pulls Malicious Dependency from npm.Details →
Socket
Book a DemoSign in
Socket

ffast

Package Overview
Dependencies
Maintainers
1
Versions
50
Alerts
File Explorer

Advanced tools

Socket logo

Install Socket

Detect and block malicious and high-risk dependencies

Install

ffast - pypi Package Compare versions

Comparing version
0.4.1
to
0.4.2
+1
-1
ffast.egg-info/PKG-INFO
Metadata-Version: 2.1
Name: ffast
Version: 0.4.1
Version: 0.4.2
Summary: FFAST: Fast Fourier Analysis for Sentence embeddings and Tokenisation

@@ -5,0 +5,0 @@ Home-page: UNKNOWN

@@ -1,2 +0,2 @@

__version__ = "0.4.1"
__version__ = "0.4.2"
WORDNET = "wordnet"

@@ -3,0 +3,0 @@ POINCARE = "poincare"

@@ -6,3 +6,3 @@ from typing import Generator, Tuple

import nltk
nltk.data.path.append(Path().parent/"corpora")
nltk.data.path.append(f"{Path(__file__).parent}/corpora")

@@ -9,0 +9,0 @@ from nltk.corpus import stopwords, wordnet

Metadata-Version: 2.1
Name: ffast
Version: 0.4.1
Version: 0.4.2
Summary: FFAST: Fast Fourier Analysis for Sentence embeddings and Tokenisation

@@ -5,0 +5,0 @@ Home-page: UNKNOWN

@@ -21,3 +21,3 @@ # ffast

## Changelog
- 0.4.0 nltk data no longer needs downloading
- 0.4.2 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

from setuptools import setup, find_packages
#from setuptools.command.install import install as _install
VERSION = '0.4.1'
VERSION = '0.4.2'
DESCRIPTION = 'FFAST: Fast Fourier Analysis for Sentence embeddings and Tokenisation'

@@ -6,0 +6,0 @@ 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'