# 类作为依赖项 { #classes-as-dependencies }

在深入探究 **依赖注入** 系统之前，让我们升级之前的例子。

## 来自前一个例子的`dict` { #a-dict-from-the-previous-example }

在前面的例子中, 我们从依赖项 ("可依赖对象") 中返回了一个 `dict`:

{* ../../docs_src/dependencies/tutorial001_an_py310.py hl[9] *}

但是后面我们在路径操作函数的参数 `commons` 中得到了一个 `dict`。

我们知道编辑器不能为 `dict` 提供很多支持(比如补全)，因为编辑器不知道 `dict` 的键和值类型。

对此，我们可以做的更好...

## 什么构成了依赖项 { #what-makes-a-dependency }

到目前为止，你看到的依赖项都被声明为函数。

 * given at creation time, the natural order of elements is used. If no maximum size is given at
 * creation time, the queue is unbounded.
 *
 * <p>Usage example:
 *
 * {@snippet :
 * MinMaxPriorityQueue<User> users = MinMaxPriorityQueue.orderedBy(userComparator)
 *     .maximumSize(1000)
 *     .create();
 * }
 *

     * might not run some of its listeners. The likely result is that the app will hang. (And of
     * course stack overflows are bad news in general. For example, we may have overflowed in the
     * middle of defining a class. If so, that class will never be loadable in this process.) The
     * best we can do (since logging may overflow the stack) is to let the error propagate. Because

 * It can identify areas where string deduplication could provide significant memory savings.</p>
 *
 * <p>Usage example:</p>
 * <pre>
 * PomMemoryAnalyzer analyzer = new PomMemoryAnalyzer();
 * Model model = reader.read(Files.newInputStream(pomPath));
 * analyzer.analyzePom(model);
 * analyzer.printAnalysis();
 * </pre>
 *

             * plugins that require dependency resolution, although they usually run in phases of the build where project
             * artifacts haven't been assembled yet. The prime example of this is "mvn release:prepare".
             */
            if (aggregating && areAllDependenciesInReactor(session.getProjects(), result.getUnresolvedDependencies())) {

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:
TFCI=py312,linux_x86_cuda,public_cache,disk_cache ci/official/wheel.sh

        byte[] src = new byte[100];

        // Encode "test.example.com"
        src[0] = 4; // Length of "test"
        src[1] = 't';
        src[2] = 'e';
        src[3] = 's';
        src[4] = 't';
        src[5] = 7; // Length of "example"
        src[6] = 'e';
        src[7] = 'x';
        src[8] = 'a';
        src[9] = 'm';
        src[10] = 'p';

     * created and what is required of it. The second degree of state is the
     * most common. This is the state information that would be retrieved from
     * WINS for example. Natrually it is not practical for every NbtAddress
     * to be populated will all state requiring a Node Status on every host
     * encountered. The below methods allow state to be populated when requested

	// requirements -
	//
	// ```
	//    The canonical user ID is the Amazon S3–only concept.
	//    It is 64-character obfuscated version of the account ID.
	// ```
	// http://docs.aws.amazon.com/AmazonS3/latest/dev/example-walkthroughs-managing-access-example4.html
	globalMinioDefaultOwnerID      = "02d6176db174dc93cb1b899f7c6078f08654445fe8cf1b6ce98d8855f66bdbf4"
	globalMinioDefaultStorageClass = "STANDARD"
	globalWindowsOSName            = "windows"

     * preventing access to files outside the intended directory through path traversal
     * techniques like "../../../etc/passwd".
     * </p>
     * <p>
     * Example usage:
     * </p>
     * <pre>
     * Path baseDir = Paths.get("/var/app/data");
     * Path userPath = Paths.get(userInput);
     * if (!FileUtil.isPathSafe(userPath, baseDir)) {