Update README.md

README.md

@@ -49,27 +49,18 @@ tokenizer = AutoTokenizer.from_pretrained(model_id)
 model = AutoModelForCausalLM.from_pretrained(model_id, torch_dtype=torch.float16, device_map="auto")
 
 prompt = f"""<|system|>
-Generate unit tests for C/C++ code following these guidelines:
-
-Cover all edge cases, boundary conditions, and error scenarios
-
-Include both positive and negative test cases
-
-Test minimum/maximum values and invalid inputs
-
-Verify error handling and exception cases
+1.Generate unit tests for C/C++ code following these guidelines:
+2.Cover all edge cases, boundary conditions, and error scenarios
+3.Include both positive and negative test cases
+4.Test minimum/maximum values and invalid inputs
+5.Verify error handling and exception cases
 
 Output Requirements:
-
-ONLY include test implementation code
-
-Start directly with test logic
-
-Include necessary assertions
-
-End naturally after last test case
-
-Never include framework boilerplate or headers
+-ONLY include test implementation code
+-Start directly with test logic
+-Include necessary assertions
+-End naturally after last test case
+-Never include framework boilerplate or headers
 
 <|user|>
 Create unit tests for: