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https://github.com/NicolasBohn/NexQuant.git
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f3210f3baa
* revert model and make SOTA model available to COSTEER * fix CI * fix CI * fix CI
38 lines
1.3 KiB
Python
38 lines
1.3 KiB
Python
from rdagent.components.coder.factor_coder.factor import (
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FactorExperiment,
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FactorFBWorkspace,
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FactorTask,
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)
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from rdagent.core.evolving_framework import EvolvableSubjects
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from rdagent.log import rdagent_logger as logger
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class FactorEvolvingItem(FactorExperiment, 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[FactorTask],
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sub_gt_implementations: list[FactorFBWorkspace] = None,
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):
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FactorExperiment.__init__(self, sub_tasks=sub_tasks)
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self.corresponding_selection: list = None
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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: FactorExperiment) -> "FactorExperiment":
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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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