break
					}
				}
			}

			for i := range symtab {
				s := &symtab[i]
				switch {
				case isDebugInts(s.Name):
					// Found it. Now find data section.
					if i := int(s.Section); 0 <= i && i < len(f.Sections) {
						sect := f.Sections[i]
						val := removeTag(s.Value)
						if sect.Addr <= val && val < sect.Addr+sect.Size {
							if sdat, err := sect.Data(); err == nil {

# 基準測試

由第三方機構 TechEmpower 的基準測試表明在 Uvicorn 下運行的 **FastAPI** 應用程式是 <a href="https://www.techempower.com/benchmarks/#section=test&runid=7464e520-0dc2-473d-bd34-dbdfd7e85911&hw=ph&test=query&l=zijzen-7" class="external-link" target="_blank">最快的 Python 可用框架之一</a>，僅次於 Starlette 和 Uvicorn 本身（於 FastAPI 內部使用）。

但是在查看基準得分和對比時，請注意以下幾點。

## 基準測試和速度

當你查看基準測試時，時常會見到幾個不同類型的工具被同時進行測試。

具體來說，是將 Uvicorn、Starlette 和 FastAPI 同時進行比較（以及許多其他工具）。

# 基准测试

第三方机构 TechEmpower 的基准测试表明在 Uvicorn 下运行的 **FastAPI** 应用程序是 <a href="https://www.techempower.com/benchmarks/#section=test&runid=7464e520-0dc2-473d-bd34-dbdfd7e85911&hw=ph&test=query&l=zijzen-7" class="external-link" target="_blank">可用的最快的 Python 框架之一</a>，仅次于 Starlette 和 Uvicorn 本身 (由 FastAPI 内部使用）。(*)

但是在查看基准得分和对比时，请注意以下几点。

## 基准测试和速度

当你查看基准测试时，几个不同类型的工具被等效地做比较是很常见的情况。

具体来说，是将 Uvicorn，Starlette 和 FastAPI 一起比较（在许多其它工具中）。

<!-- markdown-toc start - Don't edit this section. Run M-x markdown-toc-refresh-toc -->
# Table of Contents

- [Updating charts and values.yaml](#updating-charts-and-valuesyaml)
    - [Acceptable Pull Requests](#acceptable-pull-requests)
    - [Making changes](#making-changes)
    - [Value deprecation](#value-deprecation)

<!-- markdown-toc end -->

# Updating charts and values.yaml

## Acceptable Pull Requests

 * or more contributor license agreements.  See the NOTICE file
 * distributed with this work for additional information
 * regarding copyright ownership.  The ASF licenses this file
 * to you under the Apache License, Version 2.0 (the
 * "License"); you may not use this file except in compliance
 * with the License.  You may obtain a copy of the License at
 *
 *   http://www.apache.org/licenses/LICENSE-2.0
 *

                            <la:message key="labels.crawler_title_edit"/>
                        </h1>
                    </div>
                </div>
            </div>
        </div>
        <section class="content">
            <la:form action="/admin/general/">
                <div class="row">
                    <div class="col-md-12">
                        <div class="card card-outline card-success">

```Python hl_lines="17-22  24"
{!> ../../docs_src/path_operation_advanced_configuration/tutorial007_pv1.py!}
```

////

/// info

In Pydantic version 1 the method to get the JSON Schema for a model was called `Item.schema()`, in Pydantic version 2, the method is called `Item.model_json_schema()`.

///

### Est-ce que la concurrence est mieux que le parallélisme ?

Nope ! C'est ça la morale de l'histoire.

////

//// tab | Python 3.10+ non-Annotated

/// tip

Prefer to use the `Annotated` version if possible.

///

```Python hl_lines="66-67  79"
{!> ../../docs_src/websockets/tutorial002_py310.py!}
```

////

//// tab | Python 3.8+ non-Annotated

/// tip

Prefer to use the `Annotated` version if possible.

///

```Python hl_lines="68-69  81"

# Copyright 2015 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,