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Format CI configs for the Python samples.
Reformat json and add id for some of the tests
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  • DirectProgramming/Python/DPNP_GettingStarted

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

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