From fc6d57ffb8d5ddb5820fcc00b5491a585c259ebc Mon Sep 17 00:00:00 2001
From: Yuren Hao <yurenh2@timan108.cs.illinois.edu>
Date: Thu, 4 Sep 2025 22:16:22 -0500
Subject: Initial commit

---
 code_eval/OpenCodeEval/benchmark/mbpp.py | 153 +++++++++++++++++++++++++++++++
 1 file changed, 153 insertions(+)
 create mode 100644 code_eval/OpenCodeEval/benchmark/mbpp.py

(limited to 'code_eval/OpenCodeEval/benchmark/mbpp.py')

diff --git a/code_eval/OpenCodeEval/benchmark/mbpp.py b/code_eval/OpenCodeEval/benchmark/mbpp.py
new file mode 100644
index 0000000..ee522a2
--- /dev/null
+++ b/code_eval/OpenCodeEval/benchmark/mbpp.py
@@ -0,0 +1,153 @@
+import os
+
+from OpenCodeEval.benchmark.base import Benchmark, PYTHON_STOP, PYTHON_IMPORTS
+from OpenCodeEval.utils import refine_text, stream_jsonl
+from OpenCodeEval.eval.func_eval import check_correctness
+from OpenCodeEval.eval.sanitize import sanitize
+
+from typing import List, Literal
+
+class mbpp(Benchmark):
+
+    name: str = "mbpp"
+
+    imports_code = PYTHON_IMPORTS
+    chat_stop = PYTHON_STOP
+    base_stop = ['\n"""', "\nassert"]
+
+    def __init__(
+        self,
+        split: Literal["full", "sanitized"] = "full",
+        time_out: float = 3.0,
+        prompt_type: str = "Instruction"
+    ):
+
+        super().__init__()
+
+        self.split = split
+        self.time_out = time_out
+        self.prompt_type = prompt_type
+
+        self.path = os.path.join(self.path, f"{self.name}/{self.split}.jsonl")
+        self.tasks = self.get_task()
+
+        self.few_shots_prompt = self.get_few_shots_prompts() if split == "full" else ""
+    
+    def get_task(self):
+        """
+        Get the task data from the jsonl file into a dictionary.
+        """
+
+        tasks = {}
+        
+        for task_data in stream_jsonl(filename = self.path):
+            task_id = int(task_data["task_id"])
+
+            task_data['text'] = refine_text(task_data['text'])
+            
+            tasks[task_id] = task_data
+        
+        return tasks
+
+    def fewshot_examples(self):
+
+        few_shots_start = 1
+        few_shots_end = 4
+
+        few_shots = []
+
+        for task_id, task_data in self.tasks.items():
+            if task_id >= few_shots_start and task_id < few_shots_end:
+                few_shots.append(task_data)
+        
+        return few_shots
+    
+    def format_prompt(self,
+                      promblem: str,
+                      tests: List[str],
+                      code: str = None
+                    ) -> str:
+        promblem = f"You are an expert Python programmer, and here is your task:\n{promblem}"
+        test = "\n".join(tests)
+        test = f"Your code should pass these tests:\n{test}\n"
+        prompt = promblem + test
+        if code:
+            code = refine_text(code)
+            code = f"\n```python\n{code}\n```\n"
+            prompt = prompt + code
+        else:
+            prompt = prompt + "\n```python\n"
+        return prompt
+    
+    def get_few_shots_prompts(self):
+        
+        few_shots_prompts = []
+        for few_shot in self.fewshot_examples():
+            few_shots_prompts.append(self.format_prompt(few_shot["text"], few_shot["test_list"], few_shot["code"]))
+
+        return '\n'.join(few_shots_prompts)
+    
+    def get_prompt(self):
+        """
+        Builds the prompt for the LM to generate from.
+        """
+
+        assert self.prompt_type == "Instruction", "Prompt type must be Instruction for mbpp"
+
+        if self.split == "full":
+            test_start = 10
+            test_end = 510
+        elif self.split == "sanitized":
+            test_start = 0
+            test_end = 974
+
+        prompts = []
+
+        for task_id, task_data in self.tasks.items():
+            if task_id >= test_start and task_id < test_end:
+                
+                prompt = self.few_shots_prompt + '\n' + self.format_prompt(task_data["text"], task_data["test_list"])
+                prompts.append({
+                    'task_id': task_id,
+                    'prompt': prompt
+                })
+
+        return prompts
+
+    def postprocess_generation(self, generation):
+        """
+        Postprocess the generations.
+        """
+
+        if generation['completion'].startswith(self.few_shots_prompt):
+            generation['completion'] = generation['completion'][len(self.few_shots_prompt):]
+        
+        # if "```python" not in generation['completion']:
+            # generation['completion'] = ""
+
+        return dict(
+            task_id = generation['task_id'],
+            completion_id = generation['completion_id'],
+            solution = sanitize(generation['completion'])
+        )
+    
+    def process_results(self, solution):
+        """
+        Takes the list of LM generations and evaluates them against the test cases
+        """
+
+        task_data = self.tasks[solution['task_id']]
+
+        code =  (
+                    "\n".join(self.imports_code) + "\n"
+                    + task_data['test_setup_code'] + "\n"
+                    + solution['solution'] + "\n"
+                    + "\n".join(task_data['test_list'])
+                )
+        
+        result = check_correctness(solution['task_id'],
+                                   solution['completion_id'],
+                                   code,
+                                   self.time_out)
+        
+        return result
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