mirror of
https://github.com/NicolasBohn/NexQuant.git
synced 2026-07-29 00:17:44 +00:00
Xu Yang
43 lines
1.6 KiB
Python
43 lines
1.6 KiB
Python
from pathlib import Path
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from finco.conf import FincoSettings
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class FactorImplementSettings(FincoSettings):
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file_based_execution_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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file_based_execution_workspace: str = str(
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(Path().cwd() / "git_ignore_folder" / "factor_implementation_workspace").absolute(),
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)
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implementation_execution_cache_location: str = str(
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(Path().cwd() / "git_ignore_folder" / "factor_implementation_execution_cache.pkl").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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chat_token_limit: int = (
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100000 # 100000 is the maximum limit of gpt4, which might increase in the future version of gpt
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)
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implementation_factors_per_round: int = 100 # how many factors to choose for each round of evolving
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evo_multi_proc_n: int = 16 # how many processes to use for evolving (including eval & generation)
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file_based_execution_timeout: int = 120 # seconds for each factor implementation execution
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FIS = FactorImplementSettings()
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