List<String> keyAndValue = ImmutableList.copyOf(KEY_VALUE_SPLITTER.split(keyValuePair));
        checkArgument(!keyAndValue.isEmpty(), "blank key-value pair");
        checkArgument(
            keyAndValue.size() <= 2,
            "key-value pair %s with more than one equals sign",
            keyValuePair);

        // Find the ValueParser for the current key.
        String key = keyAndValue.get(0);

        List<String> keyAndValue = ImmutableList.copyOf(KEY_VALUE_SPLITTER.split(keyValuePair));
        checkArgument(!keyAndValue.isEmpty(), "blank key-value pair");
        checkArgument(
            keyAndValue.size() <= 2,
            "key-value pair %s with more than one equals sign",
            keyValuePair);

        // Find the ValueParser for the current key.
        String key = keyAndValue.get(0);

import org.jspecify.annotations.Nullable;

/**
 * Implementation of {@link Multimap} using hash tables.
 *
 * <p>The multimap does not store duplicate key-value pairs. Adding a new key-value pair equal to an
 * existing key-value pair has no effect.
 *
 * <p>Keys and values may be null. All optional multimap methods are supported, and all returned
 * views are modifiable.
 *

Kullanım senaryonuza göre farklı bir kütüphaneyi tercih edebilirsiniz; ancak bana sorarsanız muhtemelen **Strawberry**'yi denemenizi önerirdim.

Strawberry'yi FastAPI ile nasıl entegre edebileceğinize dair küçük bir ön izleme:

{* ../../docs_src/graphql_/tutorial001_py310.py hl[3,22,25] *}

Strawberry hakkında daha fazlasını [Strawberry dokümantasyonunda](https://strawberry.rocks/) öğrenebilirsiniz.

  protected MonitorTestCase(boolean interruptible) {
    this.interruptible = interruptible;
  }

  @Override
  protected final void setUp() throws Exception {
    boolean fair = new Random().nextBoolean();
    monitor = new Monitor(fair);
    tearDownStack.addTearDown(thread1 = new TestThread<>(monitor, "TestThread #1"));
    tearDownStack.addTearDown(thread2 = new TestThread<>(monitor, "TestThread #2"));
  }

  @Override

 * followed by <dfn>flattening</dfn> and <dfn>resolution</dfn>.
 * The version selection is done for each dependency during the collection phase.
 * The flatten phase keeps only a single version per ({@code groupId}, {@code artifactId}) pair.
 * The resolution phase actually downloads the dependencies (or artifacts) that have been computed.
 *
 * @since 4.0.0
 */
@Experimental
@Immutable
public interface Dependency extends Artifact {
    /**

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            }
        }
    }

    /**
     * @return the source file and it's source root
     */
    fun sourceFileAndSourceRootFor(sourceFilePath: String): Pair<File, File> =
        sourceRoots.asSequence()
            .map { it.resolve(sourceFilePath) to it }
            .firstOrNull { it.first.isFile }

   * {@link Long#MAX_VALUE} or {@link Long#MIN_VALUE}. This behavior can be useful when decomposing
   * a duration in order to call a legacy API which requires a {@code long, TimeUnit} pair.
   */
  static long toNanosSaturated(Duration duration) {
    // Using a try/catch seems lazy, but the catch block will rarely get invoked (except for
    // durations longer than approximately +/- 292 years).
    try {

 *   <li>comparing each object against null returns false
 *   <li>comparing each object against an instance of an incompatible class returns false
 *   <li>comparing each pair of objects within the same equality group returns true
 *   <li>comparing each pair of objects from different equality groups returns false
 *   <li>the hash codes of any two equal objects are equal
 * </ul>
 *