sample.json

{
    "guid": "B8E1196A-83B1-4972-8D87-E15F14CAFC82",
    "name": "Intel\u00ae Python Data Parallel Extension for NumPy",
    "categories": [
        "Toolkit/oneAPI DirectProgramming/Python/DPNP_GettingStarted"
    ],
    "description": "This sample code shows how to find conjugate gradient using the Intel Python API powered by the dpnp",
    "builder": [
        "cli"
    ],
    "languages": [
        {
            "python": {}
        }
    ],
    "dependencies": [
        "intelpython"
    ],
    "os": [
        "linux"
    ],
    "targetDevice": [
        "GPU",
        "CPU"
    ],
    "ciTests": {
        "linux": [
            {
                "env": [
                    "source /intel/oneapi/intelpython/env/activate"
                ],
                "id": "idp_intel_dpnp_cg_py",
                "steps": [
                    "python cg.py"
                ]
            }
        ]
    },
    "expertise": "Code Optimization"
}