sample.json

{
  "guid": "20ED32F3-671E-4710-A857-2821DB56CC22",
  "name": "Intel® Python NumPy vs Numba vs DPNP",
  "categories": ["Toolkit/oneAPI AI And Analytics/Getting Started"],
  "description": "This sample shows how to achieve the same accuracy of the k-NN model classification while using numpy, numba and dpnp.",
  "builder": ["cli"],
  "languages": [{"python":{}}],
  "dependencies": ["intelpython"],
  "os":["linux"],
  "targetDevice": ["CPU"],
  "ciTests": {
  	"linux": [
    {
  		"env": [
        "source /intel/oneapi/intelpython/bin/activate",
        "conda activate base", 
        "pip install uv",
        "uv init",
        "uv python pin $(which python)",
        "uv venv --system-site-packages",
        "uv add numba"
      ],
      "id": "idp_numpy_numba_dpnp_gs_py",
      "steps": [
         "uv run python IntelPython_Numpy_Numba_dpnp_kNN.py"
      ]
    }
    ]
},
"expertise": "Code Optimization"
}