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use uv tool for isolate cicd env, samples include #2595

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bopeng1234
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@bopeng1234 bopeng1234 commented Mar 3, 2025

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/Features-and-Functionality/IntelPython_GPU_dpnp_Genetic_Algorithm
2.AI-and-Analytics/Features-and-Functionality/IntelPython_XGBoost_Performance
3.AI-and-Analytics/Features-and-Functionality/IntelPython_daal4py_DistributedKMeans
4.AI-and-Analytics/Features-and-Functionality/IntelTensorFlow_Enabling_Auto_Mixed_Precision_for_TransferLearning
5.AI-and-Analytics/Features-and-Functionality/IntelTensorFlow_for_LLMs
6.AI-and-Analytics/Features-and-Functionality/Intel_Extension_For_SKLearn_Performance_SVC_Adult

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

…ironment, including samples:

  IntelTensorFlow_Enabling_Auto_Mixed_Precision_for_TransferLearning
  IntelPython_GPU_dpnp_Genetic_Algorithm
  IntelPython_XGBoost_Performance
  IntelPython_daal4py_DistributedKMeans
  IntelTensorFlow_for_LLMs
  Intel_Extension_For_SKLearn_Performance_SVC_Adult
@bopeng1234 bopeng1234 force-pushed the hackthon-AI-tool-cicd-5 branch from 3c6c627 to a1baf67 Compare March 3, 2025 02:05
@bopeng1234
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merged to #2597

@bopeng1234 bopeng1234 closed this Mar 3, 2025
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