return BucketRemoteArnTypeInvalid{Bucket: bucket}
	}
	clnt, err := sys.getRemoteTargetClient(tgt)
	if err != nil {
		return BucketRemoteTargetNotFound{Bucket: tgt.TargetBucket, Err: err}
	}
	// validate if target credentials are ok
	exists, err := clnt.BucketExists(ctx, tgt.TargetBucket)
	if err != nil {
		switch minio.ToErrorResponse(err).Code {
		case "NoSuchBucket":

      when (expected) {
        is SSLHandshakeException -> {
          // On Android, the handshake fails before the certificate pinner runs.
          assertThat(expected.message!!).contains("Could not validate certificate")
        }

        is SSLPeerUnverifiedException -> {
          // On OpenJDK, the handshake succeeds but the certificate pinner fails.

## **4. Run Sample Applications**

After installing Hive, Hadoop and Spark successfully, we can now proceed to run some sample applications to see if they are configured appropriately.  We can use Spark Pi and Spark WordCount programs to validate our Spark installation. We can also explore how to run Spark jobs from the command line and Spark shell.

### **4.1 Spark Pi**

func TestScanRune(t *testing.T) {
	for n, test := range scanTests {
		buf := strings.NewReader(test)
		s := NewScanner(buf)
		s.Split(ScanRunes)
		var i, runeCount int
		var expect rune
		// Use a string range loop to validate the sequence of runes.
		for i, expect = range test {
			if !s.Scan() {
				break
			}
			runeCount++
			got, _ := utf8.DecodeRune(s.Bytes())
			if got != expect {

 *     .cacheControl(new CacheControl.Builder().noCache().build())
 *     .url("http://publicobject.com/helloworld.txt")
 *     .build();
 * ```
 *
 * If it is only necessary to force a cached response to be validated by the server, use the more
 * efficient `max-age=0` directive instead:
 *
 * ```java
 * Request request = new Request.Builder()
 *     .cacheControl(new CacheControl.Builder()
 *         .maxAge(0, TimeUnit.SECONDS)

        // Then
        assertEquals(dataOffsetValue + dataLength - bodyStart, bytesRead);
        assertEquals(dataLength, response.getDataLength());
    }

    @Test
    @DisplayName("Should validate data fits within buffer bounds")
    void testReadBytesWireFormatDataBoundsValidation() throws Exception {
        // Given
        byte[] smallBuffer = new byte[100];
        int bodyStart = 0;

{* ../../docs_src/response_model/tutorial001_01_py310.py hl[16,21] *}

FastAPI bu dönüş tipini şunlar için kullanır:

* Dönen veriyi **doğrulamak** (validate).

        }
        cb.query().addOrderBy_CreatedTime_Desc();
    }

    /**
     * Sets up the conditions for storing a crawling information record.
     * Validates that the entity is not null and sets the creation time if not already present.
     *
     * @param crawlingInfo the crawling information entity to prepare for storage

	if group == "" {
		return updatedAt, errInvalidArgument
	}

	cache := store.lock()
	defer store.unlock()

	// Validate that all members exist.
	for _, member := range members {
		u, ok := cache.iamUsersMap[member]
		if !ok {
			return updatedAt, errNoSuchUser
		}
		cr := u.Credentials

## Verify the `username` and data shape { #verify-the-username-and-data-shape }

We verify that we get a `username`, and extract the scopes.

And then we validate that data with the Pydantic model (catching the `ValidationError` exception), and if we get an error reading the JWT token or validating the data with Pydantic, we raise the `HTTPException` we created before.