assertTrue(pattern.contains("key"));
        assertTrue(pattern.contains("token"));
        assertTrue(pattern.contains("secret"));
    }

    // Test array field parsing
    public void test_arrayFieldParsing() {
        // Test parsing of comma-separated values
        String[] arrayFields = fessConfig.getIndexAdminArrayFields().split(",");
        assertNotNull(arrayFields);
        assertEquals(2, arrayFields.length);

        // Test argument parsing instead
        SuggestCreator.Options options = new SuggestCreator.Options();
        assertNotNull(options);
    }

    // Test main method with valid arguments
    public void test_main_validArguments() {
        // Cannot directly test main as it calls System.exit
        // Test options parsing instead

      "colour": "#00ff00",
      "description": "with reproduction steps"
    },
    "without_playground": {
      "name": "type:missing reproduction steps",
      "colour": "#CF2E1F",
      "description": "missing reproduction steps"
    },
    "has_pr": {
      "name": "type:has pull request",
      "colour": "#43952A",
      "description": "has pull request"
    },
    "not_tested": {
      "name": "type:not tested",

* <abbr title="anche noto come: serializzazione, parsing, marshalling">Conversione</abbr> dei dati di input: da risorse esterne a dati e tipi di Python. È possibile leggere da:
    * JSON.
    * Path parameters.
    * Query parameters.
    * Cookies.
    * Headers.
    * Form.
    * File.

            this.hasMore = false;
        }
        return this;
    }

    /**
     * Calculates padding needed for the given offset
     * @param offset
     *            the current offset
     * @return padding size in bytes
     */
    protected int pad(final int offset) {
        final int p = offset % getPadding();
        if (p == 0) {
            return 0;

import org.opensearch.search.aggregations.bucket.histogram.DateHistogramAggregationBuilder;
import org.opensearch.search.aggregations.bucket.histogram.HistogramAggregationBuilder;
import org.opensearch.search.aggregations.bucket.missing.MissingAggregationBuilder;
import org.opensearch.search.aggregations.bucket.range.DateRangeAggregationBuilder;
import org.opensearch.search.aggregations.bucket.range.IpRangeAggregationBuilder;

 * See the License for the specific language governing permissions and
 * limitations under the License.
 */

package com.google.common.hash;

import static com.google.common.hash.Hashing.murmur3_32;
import static com.google.common.hash.Hashing.murmur3_32_fixed;
import static java.nio.charset.StandardCharsets.UTF_16;
import static java.nio.charset.StandardCharsets.UTF_16LE;
import static java.nio.charset.StandardCharsets.UTF_8;

import static java.lang.Long.rotateRight;

import com.google.common.annotations.VisibleForTesting;

/**
 * Implementation of Geoff Pike's fingerprint2011 hash function. See {@link Hashing#fingerprint2011}
 * for information on the behaviour of the algorithm.
 *
 * <p>On Intel Core2 2.66, on 1000 bytes, fingerprint2011 takes 0.9 microseconds compared to

Vamos colocar esses dados primeiro no modelo `UserInDB` do Pydantic.

Você nunca deve salvar senhas em texto simples, portanto, usaremos o sistema de hashing de senhas (falsas).

Se as senhas não corresponderem, retornaremos o mesmo erro.

#### Hashing de senha

"Hashing" significa: converter algum conteúdo (uma senha neste caso) em uma sequência de bytes (apenas uma string) que parece algo sem sentido.

     * @return the 16-byte file ID
     */
    public byte[] getFileId() {
        return Arrays.copyOf(fileId, 16);
    }

    @Override
    public int size() {
        // Context header (16) + name length (4) + padding to 8-byte alignment + data (16)
        return 16 + 4 + 4 + STRUCTURE_SIZE;
    }

    @Override
    public int encode(byte[] dst, int dstIndex) {
        int start = dstIndex;

        // Write context header