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{
    "name": "py27-emcee",
    "portdir": "python/py-emcee",
    "version": "2.2.1",
    "license": "MIT",
    "platforms": "darwin",
    "epoch": 0,
    "replaced_by": null,
    "homepage": "https://github.com/dfm/emcee",
    "description": "affine-invariant ensemble MCMC sampling",
    "long_description": "emcee is a stable, well tested Python implementation of the affine-invariant ensemble sampler for Markov chain Monte Carlo (MCMC) proposed by Goodman & Weare (2010). The code is open source and has already been used in several published projects in the astrophysics literature.",
    "active": false,
    "categories": [
        "science",
        "math",
        "python"
    ],
    "maintainers": [
        {
            "name": "aronnax",
            "github": "lpsinger",
            "ports_count": 383
        }
    ],
    "variants": [],
    "dependencies": [
        {
            "type": "build",
            "ports": [
                "py27-setuptools",
                "clang-13"
            ]
        },
        {
            "type": "lib",
            "ports": [
                "python27",
                "py27-numpy"
            ]
        },
        {
            "type": "test",
            "ports": [
                "py27-nose"
            ]
        }
    ],
    "depends_on": []
}