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    "info": {
        "author": "Lijun Zhu",
        "author_email": "gatechzhu@gmail.com",
        "bugtrack_url": null,
        "classifiers": [
            "Development Status :: 2 - Pre-Alpha",
            "Environment :: Console",
            "Intended Audience :: Developers",
            "Intended Audience :: Science/Research",
            "License :: OSI Approved :: Apache Software License",
            "Operating System :: MacOS",
            "Operating System :: Microsoft :: Windows",
            "Operating System :: POSIX :: Linux",
            "Operating System :: Unix",
            "Programming Language :: Python",
            "Programming Language :: Python :: 3",
            "Programming Language :: Python :: 3.6",
            "Programming Language :: Python :: 3.7",
            "Programming Language :: Python :: 3 :: Only",
            "Topic :: Scientific/Engineering",
            "Topic :: Scientific/Engineering :: Artificial Intelligence",
            "Topic :: Scientific/Engineering :: Physics"
        ],
        "description": ".. image:: https://raw.githubusercontent.com/lijunzh/yews-docs/master/source/_static/img/logo/yews_logo.gif\n   :scale: 50 %\n   :alt: Yews Logo\n   :align: center\n\n\n========================================\n\n\n\nYews is a deep learning toolbox for processing seismic waveform made with\nflexibility, speed, and usability in mind. It is built upon\n`PyTorch <https://github.com/pytorch/pytorch>`_ for researchers interested in\napplying deep learning techniques on seismic waveform data.\n\n\n\n\n.. image:: https://travis-ci.com/lijunzh/yews.svg?branch=master\n    :target: https://travis-ci.com/lijunzh/yews\n\n.. image:: https://ci.appveyor.com/api/projects/status/32r7s2skrgm9ubva?svg=true\n    :target: https://ci.appveyor.com/project/lijunzh/yews\n\n.. image:: https://codecov.io/gh/lijunzh/yews/branch/master/graph/badge.svg\n    :target: https://codecov.io/gh/lijunzh/yews\n\n.. image:: https://anaconda.org/lijunzhu/yews/badges/version.svg\n    :target: https://anaconda.org/lijunzhu/yews\n\n.. image:: https://badge.fury.io/py/yews.svg\n    :target: https://badge.fury.io/py/yews\n\n.. image:: https://pepy.tech/badge/yews\n    :target: https://pepy.tech/project/yews\n\nInstallation\n============\n\nTo ensure the GPU-powered `PyTorch <https://github.com/pytorch/pytorch>`_ ,\nfirst isntall PyTorch using the offical guide:\nhttps://pytorch.org/get-started/locally/ and then install\n`Yews <https://github.com/lijunzh/yews>`_ via one of the following approaches:\n\nconda:\n\n.. code:: bash\n\n   conda install -c lijunzhu -c pytorch yews\n\nconda-forge:\n\n.. code:: bash\n\n   conda install -c conda-forge yews\n\n\npip:\n\n.. code:: bash\n\n   pip install yews\n\n\nFrom source:\n\n.. code:: bash\n\n    python setup.py install\n\n\nNote:\n\n#. Running the above command without first installing PyTorch may still work.\n   Depending on the OS, you may get either the GPU or CPU version of PyTorch.\n   For example, MacOS currently will get the CPU Pytorch while Linux will get\n   the GPU PyTorch by default. Please refer to\n   https://pytorch.org/get-started/locally/ for details.\n\n#. ``yews`` by itself is ``noarch``, which means it is pure Python and OS\n   independent. Most inconsistenciews between OS's are primarily due to the\n   upstream difference (e.g. PyTorch and NumPy).\n\n#. ``obspy`` is an optional dependency, which is used for seismic waveform I/O;\n   however, ``yews``'s core functionalities do not depend on ``obspy``.\n\n#. You can install all ``yews`` optional dependencies via\n   ``pip install yews[all]``.\n\n#. Below are the instructions to each optional dependencies to install them\n   separately in ``conda``.\n\n   ==========  ======================================\n   Dependency  Instructions\n   ==========  ======================================\n   ``obspy``   ``conda install -c conda-forge obspy``\n   ``scipy``   ``conda install scipy``\n   ``tqdm``    ``conda install tqdm``\n   ==========  ======================================\n\n\n\n\nDocumentation\n=============\n\nYou can find the API documentation on the yews website:\nhttps://www.yews.info/docs/\n\nContributing\n============\n\nWe appreciate all contributions. If you are planning to contribute back\nbug-fixes, please do so without any further discussion. If you plan to\ncontribute new features, utility functions or extensions, please first open an\nissue and discuss the feature with us.\n\n\n",
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