development to avoid installing the packages directly on your system (in
    which case remember to change the directory from `/root` to `/tensorflow`
    once you get into the running container so `bazel` can find the `tensorflow`
    workspace).

    you can do this by using the following command. As an example-

    ```bash
    docker run -it --rm -v $PWD:/tmp -w /tmp tensorflow/build:2.15-python3.10

3.4. Notices

     You may not remove or alter the substance of any license notices (including
     copyright notices, patent notices, disclaimers of warranty, or limitations
     of liability) contained within the Source Code Form of the Covered
     Software, except that You may alter any license notices to the extent
     required to remedy known factual inaccuracies.

3.5. Application of Additional Terms

     License(s).

3.4. Notices

     You may not remove or alter the substance of any license notices
     (including copyright notices, patent notices, disclaimers of warranty, or
     limitations of liability) contained within the Source Code Form of the
     Covered Software, except that You may alter any license notices to the
     extent required to remedy known factual inaccuracies.

3.5. Application of Additional Terms

3.4. Notices

     You may not remove or alter the substance of any license notices (including
     copyright notices, patent notices, disclaimers of warranty, or limitations
     of liability) contained within the Source Code Form of the Covered
     Software, except that You may alter any license notices to the extent
     required to remedy known factual inaccuracies.

3.5. Application of Additional Terms

      (d) If the Work includes a "NOTICE" text file as part of its
          distribution, then any Derivative Works that You distribute must
          include a readable copy of the attribution notices contained
          within such NOTICE file, excluding those notices that do not
          pertain to any part of the Derivative Works, in at least one
          of the following places: within a NOTICE text file distributed

另外，请记住，根据您的设置，在某些情况下，您在开始应用程序之前**可能甚至不需要任何先前的步骤**。

 在这种情况下，您就不必担心这些。 🤷

///

### 前面步骤策略的示例

这将在**很大程度上取决于您部署系统的方式**，并且可能与您启动程序、处理重启等的方式有关。

以下是一些可能的想法：

* Kubernetes 中的“Init Container”在应用程序容器之前运行
* 一个 bash 脚本，运行前面的步骤，然后启动您的应用程序
     * 您仍然需要一种方法来启动/重新启动 bash 脚本、检测错误等。

/// tip

我将在以后的章节中为您提供使用容器执行此操作的更具体示例：[容器中的 FastAPI - Docker](docker.md){.internal-link target=_blank}。

///

    metadata:
      annotations:
        prometheus.io/port: "7472"
        prometheus.io/scrape: "true"
      labels:
        app: metallb
        component: controller
    spec:
      containers:
      - args:
        - --port=7472
        - --log-level=info
        - --tls-min-version=VersionTLS12
        env:
        - name: METALLB_ML_SECRET_NAME
          value: memberlist

   */
  @Override
  public Set<Entry<K, V>> entries() {
    return super.entries();
  }

  /**
   * Returns a view collection of all <i>distinct</i> keys contained in this multimap. Note that the
   * key set contains a key if and only if this multimap maps that key to at least one value.
   *
   * <p>The iterator generated by the returned set traverses the keys in the order they were first

  <name>PluginDescriptor</name>
  <description><![CDATA[
    Maven 4 Plugin descriptor, stored in {@code META-INF/maven/plugin.xml} in a plugin's jar artifact.
    This descriptor is generally using the information contained in the annotations of the plugin api.
    <p>An XSD is available at <a href="https://maven.apache.org/xsd/plugin-2.0.0.xsd">https://maven.apache.org/xsd/plugin-2.0.0.xsd</a></p>
  ]]></description>
  <classes>

/// info

🚥 👆 ⚙️ Kubernetes, 👉 🔜 🎲 <a href="https://kubernetes.io/docs/concepts/workloads/pods/init-containers/" class="external-link" target="_blank">🕑 📦</a>.

///

🚥 👆 ⚙️ 💼 📤 🙅‍♂ ⚠ 🏃‍♂ 👈 ⏮️ 📶 **💗 🕰 🔗** (🖼 🚥 👆 🚫 🏃 💽 🛠️, ✋️ ✅ 🚥 💽 🔜), ⤴️ 👆 💪 🚮 👫 🔠 📦 ▶️️ ⏭ ▶️ 👑 🛠️.

### 👁 📦