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## Враження

"_[...] I'm using **FastAPI** a ton these days. [...] I'm actually planning to use it for all of my team's **ML services at Microsoft**. Some of them are getting integrated into the core **Windows** product and some **Office** products._"

	if err != nil {
		if errors.Is(err, errConfigNotFound) {
			return nil, time.Time{}, BucketLifecycleNotFound{Bucket: bucket}
		}
		return nil, time.Time{}, err
	}
	// there could be just `ExpiryUpdatedAt` field populated as part
	// of last delete all. Treat this situation as not lifecycle configuration
	// available
	if meta.lifecycleConfig == nil || len(meta.lifecycleConfig.Rules) == 0 {

    - [Client Binaries](#client-binaries-15)
    - [Server Binaries](#server-binaries-15)
    - [Node Binaries](#node-binaries-15)
  - [Changelog since v1.19.0](#changelog-since-v1190)
  - [What's New (Major Themes)](#whats-new-major-themes)
    - [Dockershim deprecation](#dockershim-deprecation)
    - [External credential provider for client-go](#external-credential-provider-for-client-go)

from fastapi import FastAPI, Header, HTTPException
from pydantic import BaseModel

fake_secret_token = "coneofsilence"

fake_db = {
    "foo": {"id": "foo", "title": "Foo", "description": "There goes my hero"},
    "bar": {"id": "bar", "title": "Bar", "description": "The bartenders"},
}

app = FastAPI()


class Item(BaseModel):
    id: str
    title: str
    description: str | None = None

from typing import Union

from fastapi import FastAPI, Header, HTTPException
from pydantic import BaseModel

fake_secret_token = "coneofsilence"

fake_db = {
    "foo": {"id": "foo", "title": "Foo", "description": "There goes my hero"},
    "bar": {"id": "bar", "title": "Bar", "description": "The bartenders"},
}

app = FastAPI()


class Item(BaseModel):
    id: str
    title: str
    description: Union[str, None] = None

# How-To – Rezepte { #how-to-recipes }

Hier finden Sie verschiedene Rezepte und „How-To“-Anleitungen zu **verschiedenen Themen**.

Die meisten dieser Ideen sind mehr oder weniger **unabhängig**, und in den meisten Fällen müssen Sie diese nur studieren, wenn sie direkt auf **Ihr Projekt** anwendbar sind.

Wenn etwas für Ihr Projekt interessant und nützlich erscheint, lesen Sie es, andernfalls überspringen Sie es einfach.

/// tip | Tipp

items = {
    "foo": {"name": "Foo", "price": 50.2},
    "bar": {"name": "Bar", "description": "The Bar fighters", "price": 62, "tax": 20.2},
    "baz": {
        "name": "Baz",
        "description": "There goes my baz",
        "price": 50.2,
        "tax": 10.5,
    },
}


@app.get(
    "/items/{item_id}/name",
    response_model=Item,
    response_model_include={"name", "description"},
)

items = {
    "foo": {"name": "Foo", "price": 50.2},
    "bar": {"name": "Bar", "description": "The Bar fighters", "price": 62, "tax": 20.2},
    "baz": {
        "name": "Baz",
        "description": "There goes my baz",
        "price": 50.2,
        "tax": 10.5,
    },
}


@app.get(
    "/items/{item_id}/name",
    response_model=Item,
    response_model_include={"name", "description"},
)

        of a file that needs to exist, and if it doesn't the profile must run.  On the other hand exists will test
        for the existence of the file and if it is there will run the profile.
      </description>
      <fields>
        <field>
          <name>missing</name>
          <version>1.0.0+</version>
          <type>String</type>
          <description>

  if (enable) {
    optimizer_options->set_global_jit_level(tensorflow::OptimizerOptions::ON_1);

    // These XLA flags are needed to trigger XLA properly from C (more generally
    // non-Python) clients. If this API is called again with `enable` set to
    // false, it is safe to keep these flag values as is.
    tensorflow::MarkForCompilationPassFlags* flags =
        tensorflow::GetMarkForCompilationPassFlags();