Fedora 38 Update: python-autograd-1.6.2-1.fc38

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Fedora Update Notification
FEDORA-2023-22966e3a62
2023-09-14 01:27:18.332128
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Name        : python-autograd
Product     : Fedora 38
Version     : 1.6.2
Release     : 1.fc38
URL         : https://github.com/HIPS/autograd
Summary     : Efficiently computes derivatives of numpy code
Description :
Autograd can automatically differentiate native Python and Numpy code. It can
handle a large subset of Python's features, including loops, ifs, recursion and
closures, and it can even take derivatives of derivatives of derivatives.  It
supports reverse-mode differentiation (a.k.a. backpropagation), which means it
can efficiently take gradients of scalar-valued functions with respect to
array-valued arguments, as well as forward-mode differentiation, and the two
can be composed arbitrarily. The main intended application of Autograd is
gradient-based optimization.

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Update Information:

Update to new release: 1.6.2
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ChangeLog:

* Tue Sep  5 2023 Ankur Sinha (Ankur Sinha Gmail) <sanjay.ankur@xxxxxxxxx> - 1.6.2-1
- feat: update to 1.6.2 (fixes rhbz#2216768)
* Fri Jul 21 2023 Fedora Release Engineering <releng@xxxxxxxxxxxxxxxxx> - 1.5-4
- Rebuilt for https://fedoraproject.org/wiki/Fedora_39_Mass_Rebuild
* Thu Jun 29 2023 Python Maint <python-maint@xxxxxxxxxx> - 1.5-3
- Rebuilt for Python 3.12
* Wed Mar 22 2023 Benjamin A. Beasley <code@xxxxxxxxxxxxxxxxxx> - 1.5-2
- Patch mvn tests that were failing (no change to library code)
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References:

  [ 1 ] Bug #2216768 - python-autograd-1.6.2 is available
        https://bugzilla.redhat.com/show_bug.cgi?id=2216768
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This update can be installed with the "dnf" update program. Use
su -c 'dnf upgrade --advisory FEDORA-2023-22966e3a62' at the command
line. For more information, refer to the dnf documentation available at
http://dnf.readthedocs.io/en/latest/command_ref.html#upgrade-command-label

All packages are signed with the Fedora Project GPG key. More details on the
GPG keys used by the Fedora Project can be found at
https://fedoraproject.org/keys
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