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https://github.com/NicolasBohn/NexQuant.git
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515fb50ce2
* filter feature which is high correlation to former implemented features * use multiprocessing to calculate IC and some minor fix
30 lines
800 B
Python
30 lines
800 B
Python
from pathlib import Path
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from typing import Union
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from pydantic_settings import BaseSettings
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class ModelImplSettings(BaseSettings):
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class Config:
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env_prefix = "MODEL_CODER_" # Use MODEL_CODER_ as prefix for environment variables
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coder_use_cache: bool = False
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cache_location: str = str(
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(Path().cwd() / "git_ignore_folder" / "model_implementation_execution_cache").absolute(),
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)
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knowledge_base_path: Union[str, None] = None
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new_knowledge_base_path: Union[str, None] = knowledge_base_path
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max_loop: int = 10
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query_former_trace_limit: int = 5
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query_similar_success_limit: int = 5
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fail_task_trial_limit: int = 20
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enable_execution_cache: bool = True # whether to enable the execution cache
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MODEL_IMPL_SETTINGS = ModelImplSettings()
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