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    "info": {
        "author": "Dominik Gresch",
        "author_email": "greschd@gmx.ch",
        "bugtrack_url": null,
        "classifiers": [
            "Development Status :: 4 - Beta",
            "Intended Audience :: Science/Research",
            "License :: OSI Approved :: Apache Software License",
            "Natural Language :: English",
            "Operating System :: Unix",
            "Programming Language :: Python :: 3",
            "Programming Language :: Python :: 3.5",
            "Programming Language :: Python :: 3.6",
            "Programming Language :: Python :: 3.7",
            "Topic :: Scientific/Engineering :: Physics"
        ],
        "description": "NodeFinder\n==========\n\nThe goal of this code is to identify nodal features in potential\nlandscapes, using a two-step approach:\n\n-  **Search:** Starting from a grid of starting points, find an initial\n   set of nodal points by using a minimization scheme (Nelder-Mead). The\n   initial set of nodes can be further refined by searching in their\n   vicinity. This should produce a point cloud which lies densely within\n   the nodal features to be discovered.\n-  **Identification:** Identify the features (points, lines, surfaces)\n   which are contained in the point cloud. For this step, the nodal\n   points are first separated into clusters. For each cluster, the\n   dimension is estimated, and depending on the points are evaluated\n   further.\n\nThe initial use-case for this code is to find gapless features in\nthree-dimensional materials.\n\n|Build Status|\n\n.. |Build Status| image:: https://travis-ci.org/greschd/NodeFinder.svg?branch=master\n   :target: https://travis-ci.org/greschd/NodeFinder",
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        "keywords": "minimization,node search",
        "license": "Apache 2.0",
        "maintainer": "",
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        "name": "nodefinder",
        "package_url": "https://pypi.org/project/nodefinder/",
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        "summary": "A tool for studying the nodal features of potential lanscapes.",
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