frompydanticimportBaseModel,ExtraclassUser(BaseModel):name:strclassConfig:extra=Extra.forbid Into: frompydanticimportConfigDict,BaseModelclassUser(BaseModel):name:strmodel_config=ConfigDict(extra="forbid") BP003: ReplaceFieldold parameters to new ones ...
from pydantic import ConfigDict, Field, StrictStr from pytz import utc from tqdm import tqdm @@ -72,9 +72,7 @@ class SnowflakeMaterializationEngineConfig(FeastConfigBaseModel): schema_: Optional[str] = Field("PUBLIC", alias="schema") """ Snowflake schema name """ class Config: allow_...
tl;dr:胜利之路似乎在于将getter_dict配置字段设置为GetterDict的子类。
eval() # 删除对张量的引用 del dpo_model_saved_state_dict # 释放显存 torch.cuda.empty_cache() # 显式回收 CUDA IPC 内存 torch.cuda.ipc_collect() #导入必要的库和模块: from fastapi import FastAPI, Request from pydantic import BaseModel from typing import Union, Optional, List import asyncio...
from pydantic import BaseModel from typing import Type, Callable, Dict, Any, List class ToolResult(BaseModel): content: str success: bool class Tool(BaseModel): name: str model: Type[BaseModel] function: Callable validate_missing: bool = False ...
57 changes: 57 additions & 0 deletions 57 airflow_config/configuration/operators.py Original file line numberDiff line numberDiff line change @@ -0,0 +1,57 @@ from typing import Dict, List, Optional from pydantic import ConfigDict, Field from .airflow import _TaskSpecificArgs from .util...
import importlib from typing import Callable, Coroutine, Literal, Optional, Union, overload from typing import Annotated, Callable, Coroutine, Literal, Optional, Union, overload from pydantic import BaseModel, ConfigDict, model_validator from pydantic import BaseModel, ConfigDict, Field, model_validato...
config.py from pydantic_settings import BaseSettings, SettingsConfigDict from dotenv import find_dotenv, load_dotenv load_dotenv(find_dotenv(".env")) class Config(BaseSettings): ... model_config = SettingsConfigDict(case_sensitive=True)
import bilibili_api.settings import openai from bilibili_api import sync from pydantic import BaseModel from langchain.chat_models import ChatOpenAI from pydantic import BaseModel, Field, ConfigDict from langup import config, BrainType from langup.brain.chains.llm import get_chat_chain from langup...
internal.db import Base, get_db from open_webui.env import SRC_LOG_LEVELS from pydantic import BaseModel, ConfigDict from sqlalchemy import BigInteger, Column, Text, JSON, Boolean log = logging.getLogger(__name__) log.setLevel(SRC_LOG_LEVELS["MODELS"]) ### # Folder DB Schema ### clas...