GET /api/v1/ports/py38-magenta/
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{
    "name": "py38-magenta",
    "portdir": "python/py-magenta",
    "version": "2.1.2",
    "license": "Apache-2",
    "platforms": "{darwin any}",
    "epoch": 0,
    "replaced_by": null,
    "homepage": "https://github.com/magenta/magenta",
    "description": "Magenta: Music and Art Generation with Machine Intelligence",
    "long_description": "Magenta is a research project exploring the role of machine learning in the process of creating art and music. Primarily this involves developing new deep learning and reinforcement learning algorithms for generating songs, images, drawings, and other materials. But it's also an exploration in building smart tools and interfaces that allow artists and musicians to extend (not replace!) their processes using these models.",
    "active": false,
    "categories": [
        "audio",
        "python"
    ],
    "maintainers": [],
    "variants": [],
    "dependencies": [
        {
            "type": "build",
            "ports": [
                "py38-wheel",
                "py38-build",
                "py38-installer",
                "clang-15",
                "py38-setuptools"
            ]
        },
        {
            "type": "lib",
            "ports": [
                "py38-note-seq",
                "py38-numba",
                "py38-numpy",
                "py38-pretty-midi",
                "py38-pygtrie",
                "py38-scikit-image",
                "py38-scipy",
                "py38-six",
                "py38-sk-video",
                "sox",
                "py38-sox",
                "py38-tensor2tensor",
                "py38-tensorflow-datasets",
                "py38-tf-slim",
                "py38-wheel",
                "py38-tensorflow",
                "py38-tensorflow-probability",
                "python38",
                "py38-Pillow",
                "py38-absl",
                "py38-apache-beam",
                "py38-imageio",
                "py38-dm-sonnet",
                "py38-librosa",
                "py38-matplotlib",
                "py38-mido",
                "py38-mir_eval"
            ]
        },
        {
            "type": "run",
            "ports": [
                "py38-sox",
                "sox",
                "py38-Pillow",
                "py38-absl",
                "py38-apache-beam",
                "py38-dm-sonnet",
                "py38-imageio",
                "py38-librosa",
                "py38-matplotlib",
                "py38-mido",
                "py38-mir_eval",
                "py38-note-seq",
                "py38-numba",
                "py38-numpy",
                "py38-pretty-midi",
                "py38-pygtrie",
                "py38-scikit-image",
                "py38-scipy",
                "py38-six",
                "py38-sk-video",
                "py38-tensor2tensor",
                "py38-tensorflow-datasets",
                "py38-tf-slim",
                "py38-wheel",
                "py38-tensorflow",
                "py38-tensorflow-probability"
            ]
        },
        {
            "type": "test",
            "ports": [
                "py38-pydub",
                "py38-pytest",
                "py38-pytest-xdist"
            ]
        }
    ],
    "depends_on": []
}