mirror of
https://github.com/NicolasBohn/NexQuant.git
synced 2026-08-01 17:37:43 +00:00
Xu Yang
53 lines
1.6 KiB
Python
53 lines
1.6 KiB
Python
from copy import deepcopy
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from pathlib import Path
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from rdagent.core.prompts import Prompts
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from rdagent.core.scenario import Scenario
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prompt_dict = Prompts(file_path=Path(__file__).parent / "prompts.yaml")
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class GeneralModelScenario(Scenario):
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def __init__(self) -> None:
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super().__init__()
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self._background = deepcopy(prompt_dict["general_model_background"])
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self._output_format = deepcopy(prompt_dict["general_model_output_format"])
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self._interface = deepcopy(prompt_dict["general_model_interface"])
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self._simulator = deepcopy(prompt_dict["general_model_simulator"])
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self._rich_style_description = deepcopy(prompt_dict["general_model_rich_style_description"])
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@property
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def background(self) -> str:
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return self._background
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@property
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def source_data(self) -> str:
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raise NotImplementedError("source_data of GeneralModelScenario is not implemented")
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@property
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def output_format(self) -> str:
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return self._output_format
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@property
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def interface(self) -> str:
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return self._interface
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@property
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def simulator(self) -> str:
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return self._simulator
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@property
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def rich_style_description(self) -> str:
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return self._rich_style_description
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def get_scenario_all_desc(self) -> str:
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return f"""Background of the scenario:
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{self.background}
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The interface you should follow to write the runnable code:
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{self.interface}
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The output of your code should be in the format:
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{self.output_format}
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The simulator user can use to test your model:
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{self.simulator}
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"""
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