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        "author": "Laurent P. Ren\u00e9 de Cotret",
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            "Development Status :: 5 - Production/Stable",
            "Environment :: Console",
            "Intended Audience :: Science/Research",
            "License :: OSI Approved :: MIT License",
            "Natural Language :: English",
            "Operating System :: OS Independent",
            "Programming Language :: Python",
            "Programming Language :: Python :: 3.6",
            "Programming Language :: Python :: 3.7",
            "Topic :: Scientific/Engineering",
            "Topic :: Scientific/Engineering :: Physics"
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        "description": "scikit-ued\n==========\n\n.. image:: https://img.shields.io/appveyor/ci/LaurentRDC/scikit-ued/master.svg\n    :target: https://ci.appveyor.com/project/LaurentRDC/scikit-ued\n    :alt: Windows Build Status\n.. image:: https://readthedocs.org/projects/scikit-ued/badge/?version=master\n    :target: http://scikit-ued.readthedocs.io\n    :alt: Documentation Build Status\n.. image:: https://img.shields.io/pypi/v/scikit-ued.svg\n    :target: https://pypi.org/project/scikit-ued/\n    :alt: PyPI Version\n.. image:: https://img.shields.io/conda/vn/conda-forge/scikit-ued.svg\n    :target: https://anaconda.org/conda-forge/scikit-ued\n    :alt: Conda-forge Version\n.. image:: https://img.shields.io/pypi/pyversions/scikit-ued.svg\n    :alt: Supported Python Versions\n\nCollection of algorithms and functions for ultrafast electron diffraction. It aims to be a fully-tested package\ntaking advantage of Python's most recent features.\n\nFor examples, see our `tutorials <https://scikit-ued.readthedocs.io/en/latest/tutorials/index.html>`_.\n\nAPI Reference\n-------------\n\nThe `API Reference on readthedocs.io <https://scikit-ued.readthedocs.io>`_ provides API-level documentation, as \nwell as tutorials.\n\nInstallation\n------------\n\nscikit-ued is available on PyPI; it can be installed with `pip <https://pip.pypa.io>`_::\n\n    python -m pip install scikit-ued\n\nscikit-ued is also available on the conda-forge channel for the `conda package manager <https://conda.io/docs/>`_::\n\n    conda config --add channels conda-forge\n    conda install scikit-ued\n\nTo install the latest development version from `Github <https://github.com/LaurentRDC/scikit-ued>`_::\n\n    python -m pip install git+git://github.com/LaurentRDC/scikit-ued.git\n\nAfter installing scikit-ued you can use it like any other Python module as ``skued``.\n\nEach version is tested against **Python 3.6+**. If you are using a different version, tests can be run\nusing the standard library's `unittest` module.\n\nOptional dependencies\n---------------------\n\nFor displaying diffraction images with interactive contrast using the ``skued.diffshow`` function, PyQtGraph is required.\n\nRelated projects\n----------------\n\nStreaming operations on NumPy arrays are available in the `npstreams package <https://pypi.org/pypi/npstreams>`_.\n\nInteractive exploration of ultrafast electron diffraction data with the `iris-ued package <https://pypi.org/project/iris-ued/>`_.\n\nCrystal structure manipulation (including symmetry-determination) with the `crystals package <https://pypi.org/project/crystals/>`_. (Included with scikit-ued)\n\nA graphical user interface for the dual-tree complex wavelet transform baseline-removal routine is available as a \n`separate package <https://pypi.org/pypi/dtgui>`_.\n\nCitations\n---------\n\nIf you find this software useful, please consider citing the following publication:\n\n.. [#] L. P. Ren\u00c3\u00a9 de Cotret, M. R. Otto, M. J. Stern. and B. J. Siwick, *An open-source software ecosystem for the interactive \n       exploration of ultrafast electron scattering data*, Advanced Structural and Chemical Imaging 4:11 (2018) DOI: 10.1186/s40679-018-0060-y\n\nIf you are using the baseline-removal functionality of scikit-ued, please consider citing the following publication:\n\n.. [#] L. P. Ren\u00c3\u00a9 de Cotret and B. J. Siwick, *A general method for baseline-removal in ultrafast \n       electron powder diffraction data using the dual-tree complex wavelet transform*, Struct. Dyn. 4 (2017) DOI: 10.1063/1.4972518.\n\nSupport / Report Issues\n-----------------------\n\nAll support requests and issue reports should be\n`filed on Github as an issue <https://github.com/LaurentRDC/scikit-ued/issues>`_.\n\nLicense\n-------\n\nscikit-ued is made available under the MIT License. For more details, see `LICENSE.txt <https://github.com/LaurentRDC/scikit-ued/blob/master/LICENSE.txt>`_.\n\n\n",
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