mirror of
https://github.com/NicolasBohn/NexQuant.git
synced 2026-07-27 23:47:46 +00:00
Xu Yang
515fb50ce2
* filter feature which is high correlation to former implemented features * use multiprocessing to calculate IC and some minor fix
53 lines
1.7 KiB
Python
53 lines
1.7 KiB
Python
from pathlib import Path
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from typing import Literal, Union
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from pydantic_settings import BaseSettings
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SELECT_METHOD = Literal["random", "scheduler"]
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class FactorImplementSettings(BaseSettings):
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class Config:
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env_prefix = "FACTOR_CODER_" # Use FACTOR_CODER_ as prefix for environment variables
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coder_use_cache: bool = False
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data_folder: str = str(
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(Path().cwd() / "git_ignore_folder" / "factor_implementation_source_data").absolute(),
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)
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data_folder_debug: str = str(
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(Path().cwd() / "git_ignore_folder" / "factor_implementation_source_data_debug").absolute(),
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)
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cache_location: str = str(
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(Path().cwd() / "git_ignore_folder" / "factor_implementation_execution_cache").absolute(),
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)
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enable_execution_cache: bool = True # whether to enable the execution cache
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# TODO: the factor implement specific settings should not appear in this settings
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# Evolving should have a method specific settings
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# evolving related config
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fail_task_trial_limit: int = 20
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v1_query_former_trace_limit: int = 5
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v1_query_similar_success_limit: int = 5
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v2_query_component_limit: int = 1
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v2_query_error_limit: int = 1
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v2_query_former_trace_limit: int = 1
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v2_error_summary: bool = False
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v2_knowledge_sampler: float = 1.0
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file_based_execution_timeout: int = 120 # seconds for each factor implementation execution
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select_method: SELECT_METHOD = "random"
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select_ratio: float = 0.5
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max_loop: int = 10
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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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python_bin: str = "python"
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FACTOR_IMPLEMENT_SETTINGS = FactorImplementSettings()
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