mirror of
https://github.com/NicolasBohn/NexQuant.git
synced 2026-07-28 16:07:46 +00:00
Xu Yang
d5a6a08210
* ignore result csv file * fix app scripts * rename taskgenerator to developer and generate to develop * fix a config bug in coder * fix a small bug in factor coder evaluators * remove a single logger in factor coder evaluators * fix a small bug in model coder main.py * rename Implementation to Workspace * move the prepare the inject_code into FBWorkspace to align all the behavior * fix a small bug in model feedback * remove debug lines for multi processing and simplify evaluators multi proc * add a copy function to workspace to freeze the workspace && add config prefix to speed up debugging * make hypothesisgen a abc class * use Qlib***Experiment * fix a small bug * rename Imp to Ws * rename sub_implementations to sub_workspace_list * fix a bug in feedback not presented as content in prompts * move proposal pys to proposal folder * reformat the folder * align factor and model qlib workspace and use template to handle the workspace * add a filter to evoagent to filter out false evo * align multi_proc_n into RDAGENT seeting * handle when runner gets empty experiment * fix logger merge remaining problems * fix black and isort automatically
22 lines
656 B
Python
22 lines
656 B
Python
from abc import ABC, abstractmethod
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from typing import Generic, List
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from rdagent.core.experiment import ASpecificExp
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from rdagent.core.scenario import Scenario
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class Developer(ABC, Generic[ASpecificExp]):
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def __init__(self, scen: Scenario) -> None:
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self.scen: Scenario = scen
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@abstractmethod
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def develop(self, exp: ASpecificExp) -> ASpecificExp:
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"""
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Task Generator should take in an experiment.
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Because the schedule of different tasks is crucial for the final performance
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due to it affects the learning process.
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"""
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raise NotImplementedError("generate method is not implemented.")
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