}

    /**
     * Sets the context handle for the heartbeat.
     *
     * @param contextHandle the context handle from registration
     */
    public void setContextHandle(byte[] contextHandle) {
        this.contextHandle = contextHandle != null ? contextHandle.clone() : null;
    }

    /**
     * Gets the context handle.
     *
     * @return the context handle
     */

    assertThrows(IllegalArgumentException.class, () -> converter.convert("three"));

    biMap.put("three", 3);

    assertEquals((Integer) 1, converter.convert("one"));
    assertEquals((Integer) 2, converter.convert("two"));
    assertEquals((Integer) 3, converter.convert("three"));
  }

  public void testAsConverter_withNullMapping() throws Exception {

        return 10;
    }

    /**
     * Initializes the converter.
     *
     * @throws IOException if an I/O error occurs during initialization.
     */
    void init() throws IOException;

    /**
     * Converts the given text into a list of readings based on the specified field and languages.
     *
     * @param text the text to be converted.
     * @param field the field to be used for conversion.

  @CanIgnoreReturnValue
  public CharEscaperBuilder addEscapes(char[] cs, String r) {
    checkNotNull(r);
    for (char c : cs) {
      addEscape(c, r);
    }
    return this;
  }

  /**
   * Convert this builder into an array of char[]s where the maximum index is the value of the
   * highest character that has been seen. The array will be sparse in the sense that any unseen
   * index will default to null.
   *

        // Convert modules element to subprojects
        Element modulesElement = root.child(MODULES).orElse(null);
        if (modulesElement != null) {
            // domtrip makes this much simpler - just change the element name
            // The formatting and structure are preserved automatically
            modulesElement.name(SUBPROJECTS);
            context.detail("Converted <modules> to <subprojects>");

So, even with the code above that doesn't use Pydantic explicitly, FastAPI is using Pydantic to convert those standard dataclasses to Pydantic's own flavor of dataclasses.

And of course, it supports the same:

* data validation
* data serialization
* data documentation, etc.

        }
    }

    /**
     * Convert RDMA access flags to DiSNI flags
     *
     * @param access RDMA access flags
     * @return DiSNI access flags
     */
    @SuppressWarnings("unused")
    private int convertAccessFlags(EnumSet<RdmaAccess> access) {
        int flags = 0;

        // In real implementation, this would convert to DiSNI constants:

import java.util.Map;

import org.codelibs.core.beans.Converter;
import org.codelibs.core.beans.converter.DateConverter;
import org.codelibs.core.beans.converter.NumberConverter;
import org.codelibs.core.beans.converter.SqlDateConverter;
import org.codelibs.core.beans.converter.TimeConverter;
import org.codelibs.core.beans.converter.TimestampConverter;
import org.codelibs.core.convert.DateConversionUtil;

                        "price": 35.4,
                        "tax": 3.2,
                    },
                },
                "converted": {
                    "summary": "An example with converted data",
                    "description": "FastAPI can convert price `strings` to actual `numbers` automatically",
                    "value": {
                        "name": "Bar",
                        "price": "35.4",

 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND,
 * either express or implied. See the License for the specific language
 * governing permissions and limitations under the License.
 */
package org.codelibs.core.convert;

import junit.framework.TestCase;

/**
 * @author higa
 *
 */
public class BigIntegerConversionUtilTest extends TestCase {

    /**
     * @throws Exception
     */