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NexQuant/rdagent/components/workflow/conf.py
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from pydantic_settings import BaseSettings
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class BasePropSetting(BaseSettings):
"""
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The common part of the config for RD Loop to propose and development
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You can add following config in the subclass to distinguish the environment variables.
.. code-block:: python
class Config:
env_prefix = "DM_MODEL_" # Use MODEL_CODER_ as prefix for environment variables
protected_namespaces = () # Add 'model_' to the protected namespaces
"""
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scen: str = ""
hypothesis_gen: str = ""
hypothesis2experiment: str = ""
coder: str = ""
runner: str = ""
summarizer: str = ""
evolving_n: int = 10