mirror of
https://github.com/NicolasBohn/NexQuant.git
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ebb659a018
* reformat factor implement process * move some code to more reasonable place * fix the bug * add test function in factor_extract_and_implement.py * change select factor number to ratio , add some factor implement setting and fix some bug while using knowledgebase * change evoagent * add abstract class EvoAgent * add benchmark workflow * fix some bug in llm_utils * run wenjun's code * fix the knowledgebase instance check --------- Co-authored-by: xuyang1 <xuyang1@microsoft.com>
29 lines
716 B
Python
29 lines
716 B
Python
from abc import ABC, abstractmethod
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from typing import Tuple
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import pandas as pd
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'''
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This file contains the all the data class for rdagent task.
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'''
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class BaseTask(ABC):
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# 把name放在这里作为主键
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pass
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class TaskImplementation(ABC):
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def __init__(self, target_task: BaseTask) -> None:
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self.target_task = target_task
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@abstractmethod
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def execute(self, *args, **kwargs) -> Tuple[str, pd.DataFrame]:
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raise NotImplementedError("__call__ method is not implemented.")
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class TestCase:
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def __init__(
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self,
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target_task: BaseTask,
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ground_truth: TaskImplementation,
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):
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self.ground_truth = ground_truth
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self.target_task = target_task
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