from typing import Optional, List, Type, Sequence, Dict, Union, Any, Callable from bottle import Response from fastapi import FastAPI, APIRouter, params, routing from fastapi.datastructures import Default from fastapi.routing import APIRoute from starlette.responses import JSONResponse from starlette.ro...
from typing import Dict, List, Optional, Union, Tuple, Iterable import numpy as np from PIL import Image import torch # Imagenet mean and std IMAGENET_STANDARD_MEAN = [0.5, 0.5, 0.5] IMAGENET_STANDARD_STD = [0.5, 0.5, 0.5] def resize( image: Image.Image, size: Tuple[int, int], ...
这个库的源代码其实就一个文件,那就是 https://github.com/psf/requests-html/blob/master/requests_html.py,我们看一下它里面的一些 typing 的定义和方法定义。 首先 Typing 的定义部分如下: from typing import Set, Union, List, MutableMapping, Optional _Find = Union[List['Element'], 'Element'] _XP...
import inspect from typing import Dict, Optional import grpc @@ -8,8 +9,8 @@ from yandexcloud._wrappers import Wrappers class SDK(object): def __init__(self, interceptor=None, user_agent=None, **kwargs): class SDK: def __init__(self, interceptor=None, user_agent=None, endpoints:...
fromtypingimportOptional@dataclassclassA:x:stry:Optional[int]data={'x':'test', }result=from_dict(data_class=A,data=data)assertresult==A(x='test',y=None) Unions If your field can accept multiple types, you should useUnion. Dacite will try to match data with provided types one by one...
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 class Config: arbitrary_types_allowed = True ...
针对你提出的ImportError: cannot import name 'never' from 'typing'问题,我将按照提供的tips逐一进行解答和说明: 确认typing模块中是否存在never类型: 在标准的Python typing模块中,确实不存在名为never的类型。typing模块提供了许多有用的类型提示(如List, Dict, Optional等),但never并不是其中之一。never类型通常...
from copy import copyfrom functools import wrapsfrom typing import List, Dict, Tuple, Optional, Union, Any, Iterable, Set, Protocolfrom openpyxl import load_workbookfrom openpyxl.cell.cell import TYPE_FORMULAfrom openpyxl.drawing.image import Image...
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...
fromtypingimportDict,Optionalfromfastapi_code_generator.parserimportOpenAPIParserfromfastapi_code_generator.visitorimportVisitordefcustom_visitor(parser:OpenAPIParser,model_path:Path)->Dict[str,object]:return{'custom_header':'My header'}visit:Visitor=custom_visitor ...