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Update broken/redirecting/unencrypted links #3456

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Apr 29, 2023
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Update GitHub links to https
pabs3 committed Mar 13, 2023

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pabs3 Paul Wise
commit 27f27b1d6697e955208b782de1e8c762bd8fd59c
2 changes: 1 addition & 1 deletion README.md
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@@ -173,6 +173,6 @@ BibTeX entry:
[unsupervised document analysis]: https://en.wikipedia.org/wiki/Latent_semantic_indexing
[NumPy and Scipy]: https://scipy.org/install/
[ATLAS]: https://math-atlas.sourceforge.net/
[OpenBLAS]: http://xianyi.github.io/OpenBLAS/
[OpenBLAS]: https://xianyi.github.io/OpenBLAS/
[source tar.gz]: https://pypi.org/project/gensim/
[documentation]: https://radimrehurek.com/gensim/#install
2 changes: 1 addition & 1 deletion gensim/nosy.py
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@@ -11,7 +11,7 @@
https://pypi.org/project/rudolf/
Originally by Jeff Winkler, http://jeffwinkler.net
Forked from wkral http://github.com/wkral/Nosy
Forked from wkral https://github.com/wkral/Nosy
"""

import os
2 changes: 1 addition & 1 deletion gensim/utils.py
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@@ -1160,7 +1160,7 @@ def safe_unichr(intval):
def decode_htmlentities(text):
"""Decode all HTML entities in text that are encoded as hex, decimal or named entities.
Adapted from `python-twitter-ircbot/html_decode.py
<http://github.com/sku/python-twitter-ircbot/blob/321d94e0e40d0acc92f5bf57d126b57369da70de/html_decode.py>`_.
<https://github.com/sku/python-twitter-ircbot/blob/321d94e0e40d0acc92f5bf57d126b57369da70de/html_decode.py>`_.
Parameters
----------
2 changes: 1 addition & 1 deletion setup.py
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@@ -202,7 +202,7 @@ def run(self):
This software depends on `NumPy and Scipy <https://scipy.org/install/>`_, two Python packages for scientific computing.
You must have them installed prior to installing `gensim`.
It is also recommended you install a fast BLAS library before installing NumPy. This is optional, but using an optimized BLAS such as MKL, `ATLAS <https://math-atlas.sourceforge.net/>`_ or `OpenBLAS <http://xianyi.github.io/OpenBLAS/>`_ is known to improve performance by as much as an order of magnitude. On OSX, NumPy picks up its vecLib BLAS automatically, so you don't need to do anything special.
It is also recommended you install a fast BLAS library before installing NumPy. This is optional, but using an optimized BLAS such as MKL, `ATLAS <https://math-atlas.sourceforge.net/>`_ or `OpenBLAS <https://xianyi.github.io/OpenBLAS/>`_ is known to improve performance by as much as an order of magnitude. On OSX, NumPy picks up its vecLib BLAS automatically, so you don't need to do anything special.
Install the latest version of gensim::