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https://github.com/deepseek-ai/DeepSeek-Coder
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Evaluation/MBPP/utils/__pycache__/dataset.cpython-38.pyc
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Evaluation/MBPP/utils/__pycache__/dataset.cpython-38.pyc
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Evaluation/MBPP/utils/__pycache__/utils.cpython-38.pyc
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Evaluation/MBPP/utils/__pycache__/utils.cpython-38.pyc
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Evaluation/MBPP/utils/dataset.py
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Evaluation/MBPP/utils/dataset.py
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import os
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import numpy as np
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import json
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class MBPPDataset:
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def __init__(self, root, samplenum=1):
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"""
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root: 数据文件的根目录
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"""
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self.root = root
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self.data = open(os.path.join(root, "mbpp.jsonl")).readlines()
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self.clean_data = self.get_qa_only_data(self.data)
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self.prompt = []
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for i in range(1, 4):
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prompt = self.clean_data[i]["prompt"]
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tests = "\n".join(self.clean_data[i]["test"])
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code = self.clean_data[i]["code"].replace("\r", "").replace("\t", " ")
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prompt1 = f"You are an expert Python programmer, and here is your task: {prompt} Your code should pass these tests:\n\n{tests}\n[BEGIN]\n{code}\n[DONE]\n"
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if len(self.prompt) == 0:
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self.prompt.append(prompt1)
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else:
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self.prompt.append(self.prompt[-1] + prompt1)
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self.testdata = []
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for i in range(10, 510):
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for j in range(samplenum):
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self.testdata.append(self.clean_data[i])
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np.random.seed(1234)
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print(f"Read MBPP from {root}, number of samples {len(self.testdata)}")
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def get_qa_only_data(self, data_json):
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ans = []
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for line in data_json:
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line = json.loads(line)
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prompt = line["text"]
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suffix = line["test_list"]
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code = line["code"]
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ans.append({"prompt":prompt, "test":suffix, "code":code, "task_id":line["task_id"]})
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return ans
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def __len__(self):
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return len(self.testdata)
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def __getitem__(self, index):
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sample = self.testdata[index]
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return sample
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Evaluation/MBPP/utils/utils.py
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Evaluation/MBPP/utils/utils.py
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def cleanup_code(
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code: str,
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language_type: str = None,
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dataset: str = None,
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issft: bool = False,
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stop_words = []
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):
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"""
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Cleans up the generated code.
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"""
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if language_type.lower() == "python":
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if issft:
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code = _clean_python_code_for_sft(code)
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stop_words = ["\ndef", "\nclass", "\nif", "\n#", "\nprint"]
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code = _truncate_code_at_stopwords(code, stop_words)
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elif language_type.lower() == "ts":
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code = _truncate_code_at_stopwords(code, stop_words + ["\nexport", "\nimport", "\nexport default", "\nimport default", "\nconsole.log"])
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else:
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code = _truncate_code_at_stopwords(code, stop_words)
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return code
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def _clean_python_code_for_sft(code):
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code = code.replace("\r", "")
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if "```python" in code:
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code_start_idx = code.index("```python")
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code = code[code_start_idx:].replace("```python", "").strip()
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end_idx = code.find("```") if "```" in code else len(code)
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code = code[:end_idx].strip()
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return code
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def _truncate_code_at_stopwords(code, stop_words):
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min_stop_idx = len(code)
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for stop_word in stop_words:
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stop_index = code.find(stop_word)
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if 0 <= stop_index < min_stop_idx:
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min_stop_idx = stop_index
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return code[:min_stop_idx]
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