mirror of
https://github.com/NicolasBohn/NexQuant.git
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you-n-g
7fc09169bc
* refactor: add is_acceptable, fallback logic and generify evolving agent * refine lint * small * lint * lint * lint * feat: add is_acceptable to CoSTEERMultiFeedback * feat: add in-memory workspace checkpoint and recovery * feat: preserve symbolic links in workspace checkpoints and recovery * lint * lint * feat: limit workspace checkpoint to files under 100KB * feat: add workspace checkpoint size limit setting * prompt * lint
33 lines
1.1 KiB
Python
33 lines
1.1 KiB
Python
from rdagent.core.evolving_framework import EvolvableSubjects
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from rdagent.core.experiment import Experiment, FBWorkspace, Task
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from rdagent.log import rdagent_logger as logger
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class EvolvingItem(Experiment, EvolvableSubjects):
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"""
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Intermediate item of factor implementation.
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"""
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def __init__(
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self,
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sub_tasks: list[Task],
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sub_gt_implementations: list[FBWorkspace] = None,
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):
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Experiment.__init__(self, sub_tasks=sub_tasks)
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if sub_gt_implementations is not None and len(
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sub_gt_implementations,
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) != len(self.sub_tasks):
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self.sub_gt_implementations = None
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logger.warning(
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"The length of sub_gt_implementations is not equal to the length of sub_tasks, set sub_gt_implementations to None",
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)
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else:
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self.sub_gt_implementations = sub_gt_implementations
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@classmethod
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def from_experiment(cls, exp: Experiment) -> "EvolvingItem":
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ei = cls(sub_tasks=exp.sub_tasks)
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ei.based_experiments = exp.based_experiments
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ei.experiment_workspace = exp.experiment_workspace
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return ei
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