@Override
        public void encode_in(NdrBuffer buf) throws NdrException {
            // Simulate encoding some data
            buf.enc_ndr_long(12345);
        }

        @Override
        public void decode_out(NdrBuffer buf) throws NdrException {
            // Simulate decoding some data
            buf.dec_ndr_long();
        }
    }

    @BeforeEach
    void setUp() {

And Python has a special data type for sets of unique items, the `set`.

Then we can declare `tags` as a set of strings:

{* ../../docs_src/body_nested_models/tutorial003_py310.py hl[12] *}

With this, even if you receive a request with duplicate data, it will be converted to a set of unique items.

        if (Character.isDigit(hostname.charAt(0))) {
            int i, len, dots;
            char[] data;

            i = dots = 0; /* quick IP address validation */
            len = hostname.length();
            data = hostname.toCharArray();
            while (i < len && Character.isDigit(data[i++])) {
                if (i == len && dots == 3) {
                    // probably an IP address

// for multipart checksum
func TestChecksumSerializeDeserializeMultiPart(t *testing.T) {
	// Create dummy data that we'll split into 3 parts
	dummyData := []byte("The quick brown fox jumps over the lazy dog. " +
		"Pack my box with five dozen brown eggs. " +
		"Have another go it will all make sense in the end!")

	// Split data into 3 parts
	partSize := len(dummyData) / 3
	part1Data := dummyData[0:partSize]

import (
	"crypto/sha256"
	"hash"
)

// New initializes a new sha256.New()
func New() hash.Hash { return sha256.New() }

// Sum256 returns the SHA256 checksum of the data.
func Sum256(data []byte) [sha256.Size]byte { return sha256.Sum256(data) }

// Size is the size of a SHA256 checksum in bytes.

                Thread.currentThread().interrupt();
            }
        }
    }

    /**
     * Cleans up the crawled data for a given session.
     * Deletes URL queue data and access result data, and clears the URL filter.
     * @param sessionId The session ID to clean up.
     */
    public void cleanup(final String sessionId) {
        if (logger.isInfoEnabled()) {

):
    await websocket.accept()
    while True:
        data = await websocket.receive_text()
        await websocket.send_text(
            f"Session cookie or query token value is: {cookie_or_token}"
        )
        if q is not None:
            await websocket.send_text(f"Query parameter q is: {q}")

):
    await websocket.accept()
    while True:
        data = await websocket.receive_text()
        await websocket.send_text(
            f"Session cookie or query token value is: {cookie_or_token}"
        )
        if q is not None:
            await websocket.send_text(f"Query parameter q is: {q}")

        run: |
          cd /tmp/gradle-ci-health
          ./gradlew :run --args "/tmp/test-class-data.json ${GITHUB_WORKSPACE}"
      - name: Update test bucket split
        run: |
          cd ${GITHUB_WORKSPACE}/.teamcity
          ./mvnw compile exec:java@update-test-buckets -DinputTestClassDataJson=/tmp/test-class-data.json
      - name: Check for changes in ci-health repository
        id: check-changes
        run: |

        boostExpression = rule.getBoostExpr();
        scriptType = ComponentUtil.getFessConfig().getCrawlerDefaultScript();
    }

    /**
     * Determines if the given document data matches the configured match expression.
     *
     * @param map the document data as a map of field names to values
     * @return true if the document matches the expression, false otherwise
     */
    public boolean match(final Map<String, Object> map) {