*
     * @param input The file to deserialize the metadata from, must not be {@code null}.
     * @param options The options to use for deserialization, may be {@code null} to use the default values.
     * @return The deserialized metadata, never {@code null}.
     * @throws IOException If the metadata could not be deserialized.
     * @throws MetadataParseException If the input format could not be parsed.
     */

     *
     * @param input The file to deserialize the settings from, must not be {@code null}.
     * @param options The options to use for deserialization, may be {@code null} to use the default values.
     * @return The deserialized settings, never {@code null}.
     * @throws IOException If the settings could not be deserialized.
     * @throws SettingsParseException If the input format could not be parsed.
     */

     *
     * @param input The file to deserialize the toolchains from, must not be {@code null}.
     * @param options The options to use for deserialization, may be {@code null} to use the default values.
     * @return The deserialized toolchains, never {@code null}.
     * @throws IOException If the toolchains could not be deserialized.
     * @throws ToolchainsParseException If the input format could not be parsed.
     */

    do {
      int entryIndex = next - 1;
      int entry = entries[entryIndex];
      if (getHashPrefix(entry, mask) == hashPrefix
          && Objects.equals(key, keys[entryIndex])
          && (values == null || Objects.equals(value, values[entryIndex]))) {
        int newNext = getNext(entry, mask);
        if (lastEntryIndex == -1) {
          // we need to update the root link from table[]
          tableSet(table, tableIndex, newNext);

## Bodies of arbitrary `dict`s { #bodies-of-arbitrary-dicts }

You can also declare a body as a `dict` with keys of some type and values of some other type.

This way, you don't have to know beforehand what the valid field/attribute names are (as would be the case with Pydantic models).

            charset = charset,
          )
        values +=
          value.canonicalizeWithCharset(
            encodeSet = FORM_ENCODE_SET,
            alreadyEncoded = true,
            plusIsSpace = true,
            charset = charset,
          )
      }

      fun build(): FormBody = FormBody(names, values)
    }

  companion object {

 */
package org.codelibs.core.misc;

/**
 * A pair of two values.
 *
 * @author koichik
 * @param <T1>
 *            The type of the first value
 * @param <T2>
 *            The type of the second value
 */
public class Pair<T1, T2> {

    /** The first value */
    protected T1 first;

    /** The second value */
    protected T2 second;

    /**

to underlying data which may be shared by multiple values:
</p>

<ul>
<li>
	A pointer value is a reference to the variable holding
	the pointer base type value.
</li>
<li>
	A function value contains references to the (possibly
	<a href="#Function_literals">anonymous</a>) function
	and enclosed variables.
</li>
<li>

        setCreatedTime_PercentileRanks(values, null);
    }

    public void setCreatedTime_PercentileRanks(double[] values, ConditionOptionCall<PercentileRanksAggregationBuilder> opLambda) {
        setCreatedTime_PercentileRanks("createdTime", values, opLambda);
    }

    public void setCreatedTime_PercentileRanks(String name, double[] values,

    builder.put("key", "value");
    assertThat(builder.build().entries()).containsExactly(Maps.immutableEntry("key", "value"));
  }

  public void testBuilderWithExpectedKeysPositive() {
    ImmutableListMultimap.Builder<String, String> builder =
        ImmutableListMultimap.builderWithExpectedKeys(1);
    builder.put("key", "value");