for (int i = 0; i < expected.length; i++) {
        assertEquals(expected[i], got[i]);
      }
    }
  }

  // Assumes that AbstractNonStreamingHashFunction works properly (must be tested elsewhere!)
  private static class Control extends AbstractNonStreamingHashFunction {
    @Override
    public HashCode hashBytes(byte[] input, int off, int len) {

			wantSelected: &inputSerialized[9],
			wantOk:       true,
		},
	}

	for testID, tt := range tests {
		rng := rand.New(rand.NewSource(0))
		// Run for a number of times, shuffling the input to ensure that output is consistent.
		for i := range 10 {
			t.Run(fmt.Sprintf("test-%d-%s-run-%d", testID, tt.name, i), func(t *testing.T) {
				if i > 0 {
					rng.Shuffle(len(tt.m), func(i, j int) {

* <a href="https://github.com/swagger-api/swagger-ui" class="external-link" target="_blank"><strong>Swagger UI</strong></a>, bietet interaktive Erkundung, testen und rufen Sie ihre API direkt im Webbrowser auf.

![Swagger UI Interaktion](https://fastapi.tiangolo.com/img/index/index-03-swagger-02.png)

For example, to query API metrics for buckets `test1` and `test2`, make a scrape request to `/minio/metrics/v3/api/bucket?buckets=test1,test2`. 

### List Available Metrics

    void equals_withDifferentHexCode_shouldReturnFalse() {
        Name name1 = new Name(mockConfig, "TEST", 0x20, "scope");
        Name name2 = new Name(mockConfig, "TEST", 0x1C, "scope");

        assertFalse(name1.equals(name2));
    }

    @Test
    void equals_withDifferentScope_shouldReturnFalse() {
        Name name1 = new Name(mockConfig, "TEST", 0x20, "scope1");

Der wesentliche Punkt ist, dass der `sub`-Schlüssel in der gesamten Anwendung eine eindeutige Kennung haben sollte, und er sollte ein String sein.

## Es testen

Führen Sie den Server aus und gehen Sie zur Dokumentation: <a href="http://127.0.0.1:8000/docs" class="external-link" target="_blank">http://127.0.0.1:8000/docs</a>.

Die Benutzeroberfläche sieht wie folgt aus:

### Testé

* 100% <abbr title="La quantité de code qui est testé automatiquement">de couverture de test</abbr>.

You also get error checks for incorrect type operations:

<img src="/img/tutorial/body/image04.png">

This is not by chance, the whole framework was built around that design.

And it was thoroughly tested at the design phase, before any implementation, to ensure it would work with all the editors.

There were even some changes to Pydantic itself to support this.

				continue
			}
			// check the doc https://docs.aws.amazon.com/AmazonS3/latest/userguide/UsingMetadata.html
			// For metadata values like "ö", "ÄMÄZÕÑ S3", and "öha, das sollte eigentlich
			// funktionieren", tested against a real AWS S3 bucket, S3 may encode incorrectly. For
			// example, "ö" was encoded as =?UTF-8?B?w4PCtg==?=, producing invalid UTF-8 instead
			// of =?UTF-8?B?w7Y=?=. This mirrors errors like the ä½ in another string.

TF_CAPI_EXPORT void TF_SetXlaMinClusterSize(int size);

// Gets/Sets TF/XLA flag for whether(true) or not(false) to disable constant
// folding. This is for testing to ensure that XLA is being tested rather than
// Tensorflow's CPU implementation through constant folding.
TF_CAPI_EXPORT unsigned char TF_GetXlaConstantFoldingDisabled();
TF_CAPI_EXPORT void TF_SetXlaConstantFoldingDisabled(
    unsigned char should_enable);