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https://github.com/NicolasBohn/NexQuant.git
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Linlang
faa2fb03ad
* fix isort & black & toml-sort & sphinx error * fix ci error * fix ci error * add comments * Update Makefile * change sphinx build command * add auto-lint * add black args * format with black * Auto Linting document * fix ci error --------- Co-authored-by: you-n-g <you-n-g@users.noreply.github.com> Co-authored-by: Young <afe.young@gmail.com>
29 lines
1.1 KiB
Python
29 lines
1.1 KiB
Python
from pathlib import Path
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from rdagent.components.workflow.conf import BasePropSetting
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class PropSetting(BasePropSetting):
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class Config:
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env_prefix = "DM_" # Use MODEL_CODER_ as prefix for environment variables
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protected_namespaces = () # Add 'model_' to the protected namespaces
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# 1) overriding the default
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scen: str = "rdagent.scenarios.data_mining.experiment.model_experiment.DMModelScenario"
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hypothesis_gen: str = "rdagent.scenarios.data_mining.proposal.model_proposal.DMModelHypothesisGen"
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hypothesis2experiment: str = "rdagent.scenarios.data_mining.proposal.model_proposal.DMModelHypothesis2Experiment"
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coder: str = "rdagent.scenarios.data_mining.developer.model_coder.DMModelCoSTEER"
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runner: str = "rdagent.scenarios.data_mining.developer.model_runner.DMModelRunner"
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summarizer: str = "rdagent.scenarios.data_mining.developer.feedback.DMModelHypothesisExperiment2Feedback"
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evolving_n: int = 10
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# 2) Extra config for the scenario
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# physionet account
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# NOTE: You should apply the account in https://physionet.org/
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username: str = ""
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password: str = ""
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PROP_SETTING = PropSetting()
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