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    "info": {
        "author": "Philippe Trempe",
        "author_email": "pht@ieee.org",
        "bugtrack_url": null,
        "classifiers": [
            "Development Status :: 5 - Production/Stable",
            "Intended Audience :: Developers",
            "Intended Audience :: Science/Research",
            "License :: OSI Approved :: MIT License",
            "Programming Language :: Python :: 2",
            "Programming Language :: Python :: 2.7",
            "Programming Language :: Python :: 3",
            "Programming Language :: Python :: 3.4",
            "Programming Language :: Python :: 3.5",
            "Programming Language :: Python :: 3.6",
            "Programming Language :: Python :: 3.7",
            "Topic :: Scientific/Engineering",
            "Topic :: Scientific/Engineering :: GIS"
        ],
        "description": "# SkNNI\nSkNNI (pronounced \"skinny\") stands for spherical k-nearest neighbors \ninterpolation and is a geospatial interpolator.\n\n## Setup\nSkNNI may simply be installed from PyPI using `pip`.\n```\npip install sknni\n```\n\n## Example\nHere's a short usage example.\n```python\nimport numpy as np\n\nfrom sknni import SkNNI\n\nif __name__ == '__main__':\n    observations = np.array([[30, 120, 20],\n                             [30, -120, 10],\n                             [-30, -120, 20],\n                             [-30, 120, 0]])\n    interpolator = SkNNI(observations)\n    interp_coords = np.array([[30, 0],\n                              [0, -120],\n                              [0, 0],\n                              [0, 120],\n                              [-30, 0]])\n    interpolation = interpolator(interp_coords)\n    print(interpolation)\n    # Output:\n    # [[  30.          0.          9.312546]\n    #  [   0.       -120.         14.684806]\n    #  [   0.          0.         12.5     ]\n    #  [   0.        120.         10.315192]\n    #  [ -30.          0.         16.464548]]\n```\n\n\n",
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        "home_page": "https://github.com/PhTrempe/sknni",
        "keywords": "spherical k-nearest-neighbors interpolation geospatial interpolator knn sphere algorithm",
        "license": "MIT",
        "maintainer": "",
        "maintainer_email": "",
        "name": "sknni",
        "package_url": "https://pypi.org/project/sknni/",
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        "summary": "Spherical k-nearest neighbors interpolation",
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