Use uv tool for isolate cicd env

[hexu33]

Existing Sample Changes

Description

The UV tool is designed to streamline the management of Python environments for multiple test cases. One of its standout features is its ability to operate without altering the existing Python environment, ensuring that the each unit test sample (sample.json) won't affect primary setup (AI Tool did with conda environment). This makes it an ideal solution without the hassle of environment conflicts or dependencies issues, and makes each sample isolation.

add uv tool management for samples:

1.AI-and-Analytics/End-to-end-Workloads/JobRecommendationSystem 
2.AI-and-Analytics/Features-and Functionality/INC_QuantizationAwareTraining_TextClassification 
3.AI-and-Analytics/Features-and-Functionality/Intel_Extension_For_SKLearn_Performance_SVC_Adult 
4.AI-and-Analytics/Features-and-Functionality/IntelPython_daal4py_DistributedKMeans 
5.AI-and-Analytics/Features-and-Functionality/IntelPython_daal4py_DistributedLinearRegression 
6.AI-and-Analytics/Features-and-Functionality/IntelPython_GPU_dpnp_Genetic_Algorithm 
7.AI-and-Analytics/Features-and-Functionality/IntelPython_Numpy_Numba_dpnp_kNN 
8.AI-and-Analytics/Features-and-Functionality/IntelPython_XGBoost_Performance 
9.AI-and-Analytics/Features-and-Functionality/IntelPyTorch_GPU_InferenceOptimization_with_AMP 
10.AI-and-Analytics/Features-and-Functionality/IntelPyTorch_TrainingOptimizations_AMX_BF16 
11.AI-and-Analytics/Features-and-Functionality/IntelTensorFlow_AMX_BF16_Inference 
12.AI-and-Analytics/Features-and-Functionality/IntelTensorFlow_AMX_BF16_Training 
13.AI-and-Analytics/Features-and-Functionality/IntelTensorFlow_Enabling_Auto_Mixed_Precision_for_TransferLearning 
14.AI-and-Analytics/Features-and-Functionality/IntelTensorFlow_for_LLMs 
15.AI-and-Analytics/Features-and-Functionality/IntelTensorFlow_TextGeneration_with_LSTM 
16.AI-and-Analytics/Features-and-Functionality/IntelTransformers_Quantization 
17.AI-and-Analytics/Getting-Started-Samples/INC-Quantization-Sample-for-PyTorch 
18.AI-and-Analytics/Getting-Started-Samples/INC-Sample-for-Tensorflow 
19.AI-and-Analytics/Getting-Started-Samples/Intel_Extension_For_SKLearn_GettingStarted 
20.AI-and-Analytics/Getting-Started-Samples/Intel_Extension_For_TensorFlow_GettingStarted 
21.AI-and-Analytics/Getting-Started-Samples/IntelPython_daal4py_GettingStarted 
22.AI-and-Analytics/Getting-Started-Samples/IntelPython_XGBoost_GettingStarted 
23.AI-and-Analytics/Getting-Started-Samples/Modin_GettingStarted 
24.AI-and-Analytics/Getting-Started-Samples/Modin_Vs_Pandas 

Type of change

Please delete options that are not relevant. Add a 'X' to the one that is applicable.

• Bug fix (non-breaking change which fixes an issue)
• New feature (non-breaking change which adds functionality)
• Implement fixes for ONSAM Jiras

ONSAM 1917