///

### 前置步驟策略範例 { #examples-of-previous-steps-strategies }

這會「高度取決於」你「部署系統」的方式，而且很可能與你如何啟動程式、處理重新啟動等有關。

以下是一些可能的做法：

- 在 Kubernetes 中使用一個「Init Container」，它會在你的應用容器之前先執行
- 一個 bash 腳本先跑前置步驟，然後再啟動你的應用
    - 你仍然需要有機制來啟動／重新啟動「那個」bash 腳本、偵測錯誤等

/// tip

我會在未來關於容器的章節提供更具體的範例：[容器中的 FastAPI - Docker](docker.md)。

///

## 資源使用率 { #resource-utilization }

#!/usr/bin/env bash

echo "Running $0"

if [ -n "$TEST_DEBUG" ]; then
	set -x
fi

trap 'catch $LINENO' ERR

# shellcheck disable=SC2120
catch() {
	if [ $# -ne 0 ]; then
		echo "error on line $1"
		for site in sitea siteb sitec; do
			echo "$site server logs ========="
			cat "/tmp/${site}_1.log"
			echo "==========================="
			cat "/tmp/${site}_2.log"
		done
	fi

	echo "Cleaning up instances of MinIO"

  private void readMoreChars() throws IOException {
    // Possibilities:
    // 1) array has space available on right-hand side (between limit and capacity)
    // 2) array has space available on left-hand side (before position)
    // 3) array has no space available
    //
    // In case 2 we shift the existing chars to the left, and in case 3 we create a bigger

  TFE_DeleteOp(op);
  TF_DeleteStatus(status);
}

void TestRemoteExecuteChangeServerDef(bool async) {
  tensorflow::ServerDef server_def = GetServerDef(2);

  // This server def has the task index set to 0.
  string serialized = server_def.SerializeAsString();

  server_def.set_task_index(1);

  std::unique_ptr<tensorflow::GrpcServer> worker_server;
  ASSERT_TRUE(tensorflow::GrpcServer::Create(

):
    item = {"item_id": item_id, "owner_id": user_id}
    if q:
        item.update({"q": q})
    if not short:
        item.update(
            {"description": "This is an amazing item that has a long description"}
        )

        // Default constructor
    }

    /**
     * The expiration time for this response in milliseconds.
     */
    public long expiration;
    /**
     * Flag indicating whether this response has been received.
     */
    public boolean isReceived;

/// tip | Tipp

Damit das funktioniert, müssen Sie `pip install python-dotenv` ausführen.

///

### Die `.env`-Datei { #the-env-file }

Sie könnten eine `.env`-Datei haben, mit:

```bash
ADMIN_EMAIL="******@****.***"
APP_NAME="ChimichangApp"
```

### Einstellungen aus `.env` lesen { #read-settings-from-env }

Und dann aktualisieren Sie Ihre `config.py` mit:

#!/usr/bin/env bash

gocredits . >CREDITS

echo "All community contributions are licensed under the terms of the Apache 2 license." >>CREDITS
echo "----------------------------------------------------------------" >>CREDITS
cat >>CREDITS <<EOF

                                 Apache License
                           Version 2.0, January 2004
                        http://www.apache.org/licenses/

     */
    @Nonnull
    Model getEffectiveModel();

    /**
     * Gets the profiles that were active during model building.
     *
     * @return The active profiles of the model or an empty list if the model has no active profiles.
     */
    @Nonnull
    List<Profile> getActivePomProfiles();

    /**
     * Gets the profiles that were active during model building for a specific model in the hierarchy.

		bucketName         string
		objectToUploads    []objectUpload
		pathToDelete       string
		objectsAfterDelete []string
	}{
		// Test 1: removes an object and checks it is the only object
		// that has been deleted.
		{
			"bucket1",
			[]objectUpload{{"object0", "content"}, {"object1", "content"}},
			"object0",
			[]string{"object1"},
		},
		// Test 2: remove an object inside a directory and checks it is deleted