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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.
This package provides:
It is intended to be used for the resolution of differential equations using spectral methods. It is primarily a C++ library with a Python wrapper using pybind11. It also relies on Eigen for linear algebra.
The simplest way is to use pip
:
pip install cheby
The package can be installed directly from source:
git clone https://github.com/GwenaelGabard/cheby
cd cheby
git submodule update --init --recursive
pip install .
This will require a C++ compiler and cmake
.
The Python class Basis1D
provides the following features:
The Python classes RealFunction
and ComplexFunction
provide representations of univariate functions as Chebyshev series.
THey provide the following features:
See the Jupyter notebooks in the examples
folder for examples of usage.
Unit tests are written using pytest. They can be run using
pytest tests
This project is licensed under the MIT License - see the LICENSE file for details
FAQs
Functions represented as Chebyshev series
We found that cheby 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.
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