Config `compress` settings take extensions and mime-types to be compressed.

```bash
~ mc admin config get myminio compression
compression extensions=".txt,.log,.csv,.json,.tar,.xml,.bin" mime_types="text/*,application/json,application/xml"
```

Default config includes most common highly compressible content extensions and mime-types.

```bash
~ mc admin config set myminio compression extensions=".pdf" mime_types="application/pdf"
```

* O **modelo de banco de dados** provavelmente precisaria ter uma senha criptografada.

!!! danger
    Nunca armazene senhas em texto simples dos usuários. Sempre armazene uma "hash segura" que você pode verificar depois.

    Se não souber, você aprenderá o que é uma "senha hash" nos [capítulos de segurança](security/simple-oauth2.md#password-hashing){.internal-link target=_blank}.

## Múltiplos modelos

called "MLCI" that makes testing more convenient: it can execute any full CI job
against a pending change. Search for "MLCI" internally to find it.

You may invoke a CI script of your choice by following these instructions:

```bash
cd tensorflow-git-dir

# Here is a single-line example of running a script on Linux to build the
# GPU version of TensorFlow for Python 3.12, using the public TF bazel cache and
# a local build cache:

```

To specify the file via a Bazel command argument, use the following:

```
--repo_env=REQUIREMENTS_FILE_NAME=my_requirements.in
```

### How to run the updater

```
bash updater.sh
```

## How to add a new Python version

Note: Updating the
[rules-python](https://github.com/bazelbuild/rules_python/releases) version may

    ```

## 🌃

⚙️ 💗 Pydantic 🏷 & 😖 ➡ 🔠 💼.

* The **database model** would probably need to have a hashed password.

!!! danger
    Never store user's plaintext passwords. Always store a "secure hash" that you can then verify.

    If you don't know, you will learn what a "password hash" is in the [security chapters](security/simple-oauth2.md#password-hashing){.internal-link target=_blank}.

## Multiple models

# OAuth2 实现密码哈希与 Bearer  JWT 令牌验证

至此，我们已经编写了所有安全流，本章学习如何使用 <abbr title="JSON Web Tokens">JWT</abbr> 令牌（Token）和安全密码哈希（Hash）实现真正的安全机制。

本章的示例代码真正实现了在应用的数据库中保存哈希密码等功能。

接下来，我们紧接上一章，继续完善安全机制。

## JWT 简介

JWT 即**JSON 网络令牌**（JSON Web Tokens）。

JWT 是一种将 JSON 对象编码为没有空格，且难以理解的长字符串的标准。JWT 的内容如下所示：

```

     1. Build a Gradle distribution with a fixed timestamp and hash it, but never use this distribution.
     2. Build a Gradle distribution with this hash as a version + fixed timestamp -> dogfood-first
     3. Build a Gradle distribution using dogfood-first with this hash as a version + fixed timestamp different from the one above -> dogfood-second

CRDs in place and not have Istio modify them. In this case, it is necessary to apply CRD files individually.

```bash
kubectl apply -k github.com/istio/installer/base
```

or

```bash
kubectl apply -f base/files
```

### Install Istio-CNI

This is an optional step - CNI must run in a dedicated namespace, it is a 'singleton' and extremely

### New unique package

The new [unique](/pkg/unique) package provides facilities for
canonicalizing values (like "interning" or "hash-consing").

Any value of comparable type may be canonicalized with the new
`Make[T]` function, which produces a reference to a canonical copy of
the value in the form of a `Handle[T]`.
Two `Handle[T]` are equal if and only if the values used to produce the
handles are equal, allowing programs to deduplicate values and reduce