try {
            final ByteArrayOutputStream bos = new ByteArrayOutputStream();
            final ASN1OutputStream dos = ASN1OutputStream.create(bos, ASN1Encoding.DER);
            dos.writeObject(new DERSequence(mechs));
            dos.close();
            return bos.toByteArray();
        } catch (final IOException e) {

    }

    @Test
    @DisplayName("send retries on transport errors and restores request/response state")
    void send_retries_on_transportError() throws Exception {
        // Create a spy to track method calls
        SmbTreeConnection c = spy(newConn());

        // Prepare a minimal locator
        SmbResourceLocatorImpl loc = new SmbResourceLocatorImpl(ctx, smbUrl("smb://srv/share/path"));

    }

    /**
     * Test encryption context performance without synchronization bottlenecks
     */
    @Test
    public void testEncryptionContextPerformance() throws Exception {
        // Create mock encryption context for testing (simplified)
        // Note: This tests the atomic operations without actual encryption

        int threadCount = 8;
        int operationsPerThread = 500;

{* ../../docs_src/dependencies/tutorial011_an_py310.py hl[9] *}

In diesem Fall wird **FastAPI** `__init__` nie berühren oder sich darum kümmern, wir werden es direkt in unserem Code verwenden.

## Eine Instanz erstellen { #create-an-instance }

Wir könnten eine Instanz dieser Klasse erstellen mit:

{* ../../docs_src/dependencies/tutorial011_an_py310.py hl[18] *}

Aber so können wir uns besser auf die Funktionsweise des **Dependency Injection** Systems konzentrieren.

### Eine Abhängigkeit erstellen, oder <abbr title="Das von dem abhängt, die zu verwendende Abhängigkeit">„Dependable“</abbr> { #create-a-dependency-or-dependable }

Konzentrieren wir uns zunächst auf die Abhängigkeit – die Dependency.

Es handelt sich einfach um eine Funktion, die die gleichen Parameter entgegennimmt wie eine *Pfadoperation-Funktion*:

### Unlimited "plug-ins" { #unlimited-plug-ins }

Or in other way, no need for them, import and use the code you need.

Any integration is designed to be so simple to use (with dependencies) that you can create a "plug-in" for your application in 2 lines of code using the same structure and syntax used for your *path operations*.

### Tested { #tested }

### Créer une classe `Enum` { #create-an-enum-class }

Importez `Enum` et créez une sous-classe qui hérite de `str` et de `Enum`.

</div>

Ayrıca `all` extras'ını şu şekilde kurduğunuzda da dahil gelir:

<div class="termy">

```console
$ pip install "fastapi[all]"
---> 100%
```

</div>

### `Settings` nesnesini oluşturun { #create-the-settings-object }

Pydantic'ten `BaseSettings` import edin ve bir alt sınıf (sub-class) oluşturun; tıpkı bir Pydantic model'inde olduğu gibi.

# to `docker exec` commands, e.g., 'T:\path', instead of 'C:\path',
# without having to replace the drive letter with C:\ every time.
# Such a workaround is not required on Linux, since it
# can create arbitrary paths within the container, e.g., '/t'.
# Note: This does not affect/work for `docker cp` commands.
RUN New-Item -ItemType directory -Path C:\drive_t; \

	}
	return paths
}

// string concat alternative to s1 + s2 with low overhead.
func concat(ss ...string) string {
	length := len(ss)
	if length == 0 {
		return ""
	}
	// create & allocate the memory in advance.
	n := 0
	for i := range length {
		n += len(ss[i])
	}
	b := make([]byte, 0, n)
	for i := range length {
		b = append(b, ss[i]...)
	}