-   `/usr/bin`
-   `/bin`
-   `/usr/sbin`
-   `/sbin`

////

//// tab | Windows

```plaintext
C:\Program Files\Python312\Scripts;C:\Program Files\Python312;C:\Windows\System32
```

这意味着系统应该在以下目录中查找程序：

-   `C:\Program Files\Python312\Scripts`
-   `C:\Program Files\Python312`
-   `C:\Windows\System32`

////

当你在终端中输入一个**命令**时，操作系统会在 `PATH` 环境变量中列出的**每个目录**中**查找**程序。

-   `/usr/bin`
-   `/bin`
-   `/usr/sbin`
-   `/sbin`

////

//// tab | Windows

```plaintext
C:\Program Files\Python312\Scripts;C:\Program Files\Python312;C:\Windows\System32
```

這意味著系統應該在以下目錄中查找程式：

-   `C:\Program Files\Python312\Scripts`
-   `C:\Program Files\Python312`
-   `C:\Windows\System32`

////

當你在終端機中輸入一個**指令**時，作業系統會在 `PATH` 環境變數中列出的**每個目錄**中**查找**程式。

    <testOutputDirectory>${project.build.directory}/test-classes</testOutputDirectory>
    <sourceDirectory>${project.basedir}/src/main/java</sourceDirectory>
    <scriptSourceDirectory>${project.basedir}/src/main/scripts</scriptSourceDirectory>
    <testSourceDirectory>${project.basedir}/src/test/java</testSourceDirectory>
    <resources>
      <resource>
        <directory>${project.basedir}/src/main/resources</directory>
      </resource>

    # Extra Pydantic data types
    "pydantic-extra-types >=2.0.0",
]

[project.scripts]
fastapi = "fastapi.cli:main"

[tool.pdm]
version = { source = "file", path = "fastapi/__init__.py" }
distribution = true

[tool.pdm.build]
source-includes = [
    "tests/",
    "docs_src/",
    "requirements*.txt",
    "scripts/",
    # For a test
    "docs/en/docs/img/favicon.png",
    ]

/// tip | Tipp

pwdlib unterstützt auch den bcrypt-Hashing-Algorithmus, enthält jedoch keine Legacy-Algorithmen – für die Arbeit mit veralteten Hashes wird die Verwendung der Bibliothek passlib empfohlen.

Sie könnten sie beispielsweise verwenden, um von einem anderen System (wie Django) generierte Passwörter zu lesen und zu verifizieren, aber alle neuen Passwörter mit einem anderen Algorithmus wie Argon2 oder Bcrypt zu hashen.

/// tip | Consejo

pwdlib también soporta el algoritmo de hashing bcrypt pero no incluye algoritmos legacy; para trabajar con hashes desactualizados, se recomienda usar el paquete passlib.

Por ejemplo, podrías usarlo para leer y verificar contraseñas generadas por otro sistema (como Django) pero hacer hash de cualquier contraseña nueva con un algoritmo diferente como Argon2 o Bcrypt.

Y ser compatible con todos ellos al mismo tiempo.

///

    <testOutputDirectory>${project.build.directory}/test-classes</testOutputDirectory>
    <sourceDirectory>${project.basedir}/src/main/java</sourceDirectory>
    <scriptSourceDirectory>${project.basedir}/src/main/scripts</scriptSourceDirectory>
    <testSourceDirectory>${project.basedir}/src/test/java</testSourceDirectory>
    <resources>
      <resource>
        <directory>${project.basedir}/src/main/resources</directory>
      </resource>

                DEROctetString encOctets = ASN1Util.as(DEROctetString.class, ASN1Util.as(ASN1TaggedObject.class, encSequence, 2));
                byte[] crypt = encOctets.getOctets();

                if (keys == null) {
                    try {
                        keys = new KerberosCredentials().getKeys();
                    } catch (LoginException e) {

# to the container, and would result in C:\<path> != T:\<path> mismatches,
# when using variables like `TFCI_OUTPUT_DIR` in `docker exec commands,
# requiring conditional path adjustments throughout the CI scripts.
# Note: This does not work for `docker cp` commands.
# For a little more detail, see:
# https://github.com/tensorflow/tensorflow/blob/cc3006af6fea8d2a1360b3b5e65f9d14bbdb7094/ci/devinfra/docker/windows2022/Dockerfile#L196

<li><a href="http://cs/f:devtools/kokoro/config/prod/$KOKORO_JOB_NAME">Codesearch - job definition</a></li>
<li><a href="http://cs/f:learning/brain/testing/kokoro/$(echo "$KOKORO_JOB_NAME" | sed 's!tensorflow/!!g')">Codesearch - build definition & scripts</a></li>
<li><a href="http://cs/$KOKORO_JOB_NAME">Codesearch - All references to this job</a></li>
</ul>
<h2>Non-Googler Links</h2>
<ul>