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{
    "name": "py312-pymvpa",
    "portdir": "python/py-pymvpa",
    "version": "2.6.5",
    "license": "MIT",
    "platforms": "darwin",
    "epoch": 0,
    "replaced_by": null,
    "homepage": "http://www.pymvpa.org",
    "description": "MultiVariate Pattern Analysis (MVPA) in Python.",
    "long_description": "PyMVPA is a Python package intended to ease statistical learning analyses of large datasets. It offers an extensible framework with a high-level interface to a broad range of algorithms for classification, regression, feature selection, data import and export. While it is not limited to the neuroimaging domain, it is eminently suited for such datasets.",
    "active": true,
    "categories": [
        "science",
        "math",
        "python"
    ],
    "maintainers": [
        {
            "name": "stromnov",
            "github": "stromnov",
            "ports_count": 2692
        }
    ],
    "variants": [
        "universal"
    ],
    "dependencies": [
        {
            "type": "build",
            "ports": [
                "swig-python",
                "clang-17"
            ]
        },
        {
            "type": "lib",
            "ports": [
                "py312-numpy",
                "libsvm",
                "py312-nibabel",
                "py312-scipy",
                "python312"
            ]
        }
    ],
    "depends_on": [
        {
            "type": "lib",
            "ports": [
                "py-pymvpa"
            ]
        }
    ]
}