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Data Theft Repackaged: A Case Study in Malicious Wrapper Packages on npm
The Socket Research Team breaks down a malicious wrapper package that uses obfuscation to harvest credentials and exfiltrate sensitive data.
.. |python| image:: https://img.shields.io/badge/python-3.10-blue.svg :alt: python 3.10
.. |license| image:: https://img.shields.io/badge/license-apache-orange.svg :alt: license apache :target: https://www.apache.org/licenses/LICENSE-2.0
.. |logo| image:: https://github.com/anyoptimization/pymoo-data/blob/main/logo.png?raw=true :target: https://pymoo.org :alt: pymoo
.. |animation| image:: https://github.com/anyoptimization/pymoo-data/blob/main/animation.gif?raw=true :target: https://pymoo.org :alt: pymoo
.. _Github: https://github.com/anyoptimization/pymoo .. _Documentation: https://www.pymoo.org/ .. _Paper: https://ieeexplore.ieee.org/document/9078759
|python| |license|
|logo|
Documentation_ / Paper_ / Installation_ / Usage_ / Citation_ / Contact_
Our open-source framework pymoo offers state of the art single- and multi-objective algorithms and many more features related to multi-objective optimization such as visualization and decision making.
.. _Installation:
Installation
First, make sure you have a Python 3 environment installed. We recommend miniconda3 or anaconda3.
The official release is always available at PyPi:
.. code:: bash
pip install -U pymoo
For the current developer version:
.. code:: bash
git clone https://github.com/anyoptimization/pymoo
cd pymoo
pip install .
Since for speedup, some of the modules are also available compiled, you can double-check if the compilation worked. When executing the command, be sure not already being in the local pymoo directory because otherwise not the in site-packages installed version will be used.
.. code:: bash
python -c "from pymoo.util.function_loader import is_compiled;print('Compiled Extensions: ', is_compiled())"
.. _Usage:
Usage
We refer here to our documentation for all the details. However, for instance, executing NSGA2:
.. code:: python
from pymoo.algorithms.moo.nsga2 import NSGA2
from pymoo.problems import get_problem
from pymoo.optimize import minimize
from pymoo.visualization.scatter import Scatter
problem = get_problem("zdt1")
algorithm = NSGA2(pop_size=100)
res = minimize(problem,
algorithm,
('n_gen', 200),
seed=1,
verbose=True)
plot = Scatter()
plot.add(problem.pareto_front(), plot_type="line", color="black", alpha=0.7)
plot.add(res.F, color="red")
plot.show()
A representative run of NSGA2 looks as follows:
|animation|
.. _Citation:
Citation
If you have used our framework for research purposes, you can cite our publication by:
| J. Blank and K. Deb, pymoo: Multi-Objective Optimization in Python, in IEEE Access, vol. 8, pp. 89497-89509, 2020, doi: 10.1109/ACCESS.2020.2990567 <https://ieeexplore.ieee.org/document/9078759>
_
|
| BibTex:
::
@ARTICLE{pymoo,
author={J. {Blank} and K. {Deb}},
journal={IEEE Access},
title={pymoo: Multi-Objective Optimization in Python},
year={2020},
volume={8},
number={},
pages={89497-89509},
}
.. _Contact:
Contact
Feel free to contact me if you have any questions:
| Julian Blank <http://julianblank.com>
_ (blankjul [at] msu.edu)
| Michigan State University
| Computational Optimization and Innovation Laboratory (COIN)
| East Lansing, MI 48824, USA
FAQs
Multi-Objective Optimization in Python
We found that pymoo demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
Did you know?
Socket for GitHub automatically highlights issues in each pull request and monitors the health of all your open source dependencies. Discover the contents of your packages and block harmful activity before you install or update your dependencies.
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