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        "author": "Bo Zhang",
        "author_email": "bozhang@nao.cas.cn",
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            "License :: OSI Approved :: MIT License",
            "Operating System :: OS Independent",
            "Programming Language :: Python :: 3.7",
            "Topic :: Scientific/Engineering :: Astronomy",
            "Topic :: Scientific/Engineering :: Physics"
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        "description": "## regli\nREgular Grid Linear Interpolator, capable to deal with spectral library or similar model data.\n\n## author\nBo Zhang, [bozhang@nao.cas.cn](mailto:bozhang@nao.cas.cn)\n\n## home page\n- [https://github.com/hypergravity/regli](https://github.com/hypergravity/regli)\n- [https://pypi.org/project/regli/](https://pypi.org/project/regli/)\n\n## install\n- for the latest **stable** version: `pip install regli`\n- for the latest **github** version: `pip install git+git://github.com/hypergravity/regli`\n\n## test\n\n\n```python\nfrom regli import test\ntest()\n```\noutput:\n```\nregli.interp3 x 10000: 0.5675415992736816 sec\nregli.interpn x 10000: 2.5326197147369385 sec\nrgi x 10000: 5.4028871059417725 sec\n```\n\n## doc\n```python\n# import Regli\nfrom regli import Regli\nimport numpy as np\n\n# construct grid coordinates\nx1 = np.linspace(-1, 1, 30)     \nx2 = np.linspace(-1, 1, 30)\nx3 = np.linspace(-1, 1, 30)\n\n# initiate regli using coordinates\nregli = Regli(x1, x2, x3)\n\n# an arbitrary function of coordinates (for demo)\nf = lambda _x1, _x2, _x3: _x1 + _x2 + _x3\n\n# regli.flats stores flattened coordinates of ND grid\nflats = regli.flats\n# evaluate your function on flats\nvalues = np.array([f(*_) for _ in flats]).reshape(-1, 1)\n# set values for regli\nregli.set_values(values)        \n\nregli(pos)                      # use any of the 3 ways to interpolate\nregli.interpn(pos)              # method 1 is equivalent to 2\nregli.interp3(pos)              # this is accelerated for 3D\n\n```\n\n\n",
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