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        "author": "eshard",
        "author_email": "estraces@eshard.com",
        "bugtrack_url": null,
        "classifiers": [
            "Development Status :: 5 - Production/Stable",
            "Environment :: Console",
            "Framework :: IPython",
            "Framework :: Jupyter",
            "Intended Audience :: Developers",
            "Intended Audience :: Information Technology",
            "Intended Audience :: Science/Research",
            "License :: OSI Approved :: GNU Lesser General Public License v3 (LGPLv3)",
            "Operating System :: OS Independent",
            "Programming Language :: Python :: 3.6",
            "Topic :: Scientific/Engineering",
            "Topic :: Security",
            "Topic :: Software Development"
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        "description": "# estraces - Traces and trace sets Python library for side-channel attacks\n\n[![pipeline status](https://gitlab.com/eshard/estraces/badges/master/pipeline.svg)](https://gitlab.com/eshard/estraces/commits/master)\n[![PyPI version](https://badge.fury.io/py/estraces.svg)](https://pypi.org/project/estraces/)\n[![Conda installer](https://anaconda.org/eshard/estraces/badges/installer/conda.svg)](https://anaconda.org/eshard/estraces)\n[![Latest Conda release](https://anaconda.org/eshard/estraces/badges/latest_release_date.svg)](https://anaconda.org/eshard/estraces)\n\nestraces is a Python library to manipulate side-channel trace sets. It aims at giving a clear and uniform API to handle\ntraces samples and metadata for various persistency and file formats.\nIt uses [Numpy](https://www.numpy.org) to handle data.\n\nestraces was originally developped and maintain by [eshard](https://www.eshard.com), and is heavily used in the open-source\nside-channel analysis framework.\n\n## Getting started\n\n### Prerequisites\n\nYou will need **Python 3.6+** to use and install estraces. You can use pip (or any pip based tool like pipenv) or conda to install it.\n\n### Installation\n\nTo install estraces, you can use pip (or pipenv, or any other pip based-tool) or conda:\n\n```bash\n$ pip install estraces\n# or with Conda\n$ conda install -c eshard estraces\n```\n\n### Opens a trace set\n\nIf you have a trace set as binary files, you can get a trace header set by using the binary reader:\n\n```python\n# First import the lib\nimport estraces\n\n# We suppose the binary files are under traces/ and are named something.bin\nmy_traces = estraces.read_ths_from_bin_filenames_pattern(\n    'traces/*.bin', # First indicate the filename pattern for the bin file\n    dtype='uint8', # Indicate the numpy dtype of the data\n    metadatas_parsers={} # This dict allows to associate metadata\n)\n```\n\nYou can then read your samples:\n\n```python\n# This will return the data for the first 100 traces\nmy_traces.samples[:100]\n\n# This will return the frame 0 - 1000 of all the traces as a numpy array\nmy_traces.samples[:, :1000]\n\n# You can iterate on traces\nfor trace in my_traces:\n    # do something\n```\n\n## Documentation\n\nTo go further and learn all about estraces, please go to [the full documentation](https://eshard.gitlab.io/estraces).\n\n## Contributing\n\nAll contributions, starting with feedbacks, are welcomed.\nPlease read [CONTRIBUTING.md](CONTRIBUTING.md) if you wish to contribute to the project.\n\n## License\n\nThis library is licensed under LGPL V3 license. See the [LICENSE](LICENSE) file for details.\n\nIt is mainly intended for non-commercial use, by academics, students or professional willing to learn the basics of side-channel analysis.\n\nIf you wish to use this library in a commercial or industrial context, eshard provides commercial licenses under fees. Contact us!\n\n## Authors\n\nSee [AUTHORS](AUTHORS.md) for the list of contributors to the project.\n\n\n",
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