步骤1:导入BaseModel类 在Python中,我们可以使用peewee库来创建模型。要使用BaseModel类,我们需要首先导入它。代码如下: frompeeweeimportBaseModel 1. 步骤2:创建一个继承自BaseModel的子类 在这一步中,我们将创建一个继承自BaseModel的子类,以便在子类中定义我们的列表属性。代码如下: classMyModel(BaseModel):pa...
3 list1 = ['Google', 'Runoob', 1997, 2000]; 4 list2 = [1, 2, 3, 4, 5, 6, 7 ]; 5 6 print ("list1[0]: ", list1[0]) 7 print ("list2[1:5]: ", list2[1:5]) 1. 2. 3. 4. 5. 6. 7. 以上实例输出结果: 1 list1[0]: Google 2 list2[1:5]: [2, 3, 4...
model.parent_id=parent_id model.leader=leader model.email=email model.order_num=order_num model.phone=phone model.status=status model.remark=remark model.update_by= user['name'] model.update()returnSUCCESS()exceptException as e: app.logger.error(f"更新部门失败:{e}")returnUPDATE_ERROR()else...
base_models = [("DT_model", DecisionTreeClassifier(random_state=42)), #决策树 ("RF_model", RandomForestClassifier(random_state=42,n_jobs=-1)),#随机森林分类 ("LR_model", LogisticRegression(random_state=42,n_jobs=-1)),#逻辑回归预测 ("XGB_model", XGBClassifier(random_state=42, n_jobs...
方式二 from fastapi import FastAPI,Depends,Request from typing import Any, Dict, List, Optional from pydantic import BaseModel, Field app = FastAPI() class GetRequest(BaseModel): name: str = Field("haishiniu",description="用户名") age: int = Field(18,description="年龄") sex: str = Fiel...
代码语言:javascript 复制 from typingimportList from pydanticimportBaseModelclassFoo(BaseModel):count:intsize:float=NoneclassBar(BaseModel):apple='x'banana='y'classSpam(BaseModel):foo:Foobars:List[Bar]f=Foo(count=2)b=Bar()s=Spam(foo=f,bars=[b])print(s.dict())# 输出结果{'bars':[{'ap...
from typing import List import databases import sqlalchemy from fastapi import FastAPI from pydantic import BaseModel # SQLAlchemy specific code, as with any other app DATABASE_URL = "sqlite:///./test.db" # DATABASE_URL = "postgresql://user:password@postgresserver/db" database = databases....
(client, database_id, container_id, partition_key) for i in range(10): await container.upsert_item({ 'id': f'item{i}', 'productName': 'Widget', 'productModel': f'Model {i}' }) async def get_products(): items = [] container = await get_or_create_container(client, database_...
If you ever create nodes and graphs in another app, it will be much harder to port all the codebase you built over the time to plain Python or another Python API. In Nodezator, this problem is much reduced cause it requires much less changes in your code in order for it to be loade...
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