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						try: | 
					
					
						
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						    import os | 
					
					
						
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						    from openai import OpenAI | 
					
					
						
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						     | 
					
					
						
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						    client = OpenAI( | 
					
					
						
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						        base_url="https://router.huggingface.co/v1", | 
					
					
						
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						        api_key=os.environ["HF_TOKEN"], | 
					
					
						
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						    ) | 
					
					
						
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						     | 
					
					
						
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						    completion = client.chat.completions.create( | 
					
					
						
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						        model="Qwen/Qwen3-4B-Instruct-2507", | 
					
					
						
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						        messages=[ | 
					
					
						
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						            { | 
					
					
						
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						                "role": "user", | 
					
					
						
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						                "content": "What is the capital of France?" | 
					
					
						
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						            } | 
					
					
						
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						        ], | 
					
					
						
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						    ) | 
					
					
						
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						     | 
					
					
						
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						    print(completion.choices[0].message) | 
					
					
						
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						    with open('Qwen_Qwen3-4B-Instruct-2507_3.txt', 'w', encoding='utf-8') as f: | 
					
					
						
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						        f.write('Everything was good in Qwen_Qwen3-4B-Instruct-2507_3.txt') | 
					
					
						
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						except Exception as e: | 
					
					
						
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						    import os | 
					
					
						
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						    from slack_sdk import WebClient | 
					
					
						
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						    client = WebClient(token=os.environ['SLACK_TOKEN']) | 
					
					
						
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						    client.chat_postMessage( | 
					
					
						
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						        channel='#exp-slack-alerts', | 
					
					
						
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						        text='Problem in <https://huggingface.co/datasets/model-metadata/code_execution_files/blob/main/Qwen_Qwen3-4B-Instruct-2507_3.txt|Qwen_Qwen3-4B-Instruct-2507_3.txt>', | 
					
					
						
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						    ) | 
					
					
						
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						    with open('Qwen_Qwen3-4B-Instruct-2507_3.txt', 'a', encoding='utf-8') as f: | 
					
					
						
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						        import traceback | 
					
					
						
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						        f.write('''```CODE:  | 
					
					
						
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						import os | 
					
					
						
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						from openai import OpenAI | 
					
					
						
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						 | 
					
					
						
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						client = OpenAI( | 
					
					
						
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						    base_url="https://router.huggingface.co/v1", | 
					
					
						
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						    api_key=os.environ["HF_TOKEN"], | 
					
					
						
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						) | 
					
					
						
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						 | 
					
					
						
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						completion = client.chat.completions.create( | 
					
					
						
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						    model="Qwen/Qwen3-4B-Instruct-2507", | 
					
					
						
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						    messages=[ | 
					
					
						
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						        { | 
					
					
						
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						            "role": "user", | 
					
					
						
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						            "content": "What is the capital of France?" | 
					
					
						
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						        } | 
					
					
						
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						    ], | 
					
					
						
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						) | 
					
					
						
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						 | 
					
					
						
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						print(completion.choices[0].message) | 
					
					
						
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						``` | 
					
					
						
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						 | 
					
					
						
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						ERROR:  | 
					
					
						
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						''') | 
					
					
						
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						        traceback.print_exc(file=f) | 
					
					
						
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						     | 
					
					
						
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						finally: | 
					
					
						
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						    from huggingface_hub import upload_file | 
					
					
						
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						    upload_file( | 
					
					
						
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						        path_or_fileobj='Qwen_Qwen3-4B-Instruct-2507_3.txt', | 
					
					
						
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						        repo_id='model-metadata/code_execution_files', | 
					
					
						
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						        path_in_repo='Qwen_Qwen3-4B-Instruct-2507_3.txt', | 
					
					
						
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						        repo_type='dataset', | 
					
					
						
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						    ) | 
					
					
						
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 |