import java.util.concurrent.TimeoutException;
import java.util.concurrent.locks.AbstractQueuedSynchronizer;
import org.jspecify.annotations.NullUnmarked;
import org.jspecify.annotations.Nullable;

/** Utilities for the AbstractFutureBenchmarks */
@NullUnmarked
final class AbstractFutureBenchmarks {
  private AbstractFutureBenchmarks() {}

  interface Facade<T> extends ListenableFuture<T> {
    @CanIgnoreReturnValue

Pydantic model is included in the **OpenAPI** of your API, and then it's used in the docs UI.

In versions of FastAPI before 0.99.0 (0.99.0 and above use the newer OpenAPI 3.1.0) when you used `example` or `examples` with any of the other utilities (`Query()`, `Body()`, etc.) those examples were not added to the JSON Schema that describes that data (not even to OpenAPI's own version of JSON Schema), they were added directly to the *path operation* declaration in OpenAPI (outside the parts of...

      checkValidState(cache);

      assertThrows(NullPointerException.class, () -> entry.setValue(null));
      checkValidState(cache);
    }
  }

  /* ---------------- Local utilities -------------- */

  /** Most of the tests in this class run against every one of these caches. */
  private Iterable<LoadingCache<Object, Object>> caches() {
    // lots of different ways to configure a LoadingCache

Here we create the tables on an application startup event.

For production you would probably use a migration script that runs before you start your app. 🤓

/// tip

SQLModel will have migration utilities wrapping Alembic, but for now, you can use <a href="https://alembic.sqlalchemy.org/en/latest/" class="external-link" target="_blank">Alembic</a> directly.

///

### Create a Hero { #create-a-hero }

				r[i].Size = getEncSize(s)
				sum += r[i].Size
			}
			return ObjectInfo{
				Size:        sum,
				UserDefined: udMap(true),
				Parts:       r,
			}
		}
		// Simple useful utilities
		repeat = func(k int64, n int) []int64 {
			a := []int64{}
			for range n {
				a = append(a, k)
			}
			return a
		}
		lsum = func(s []int64) int64 {
			sum := int64(0)

import org.lastaflute.di.core.exception.ComponentNotFoundException;

import jakarta.annotation.PostConstruct;

/**
 * Helper class for document processing and manipulation in the Fess search system.
 * This class provides utilities for processing document content, titles, and digests,
 * handling text normalization, content extraction, and similar document hash encoding/decoding.

## Install `passlib` { #install-passlib }

PassLib is a great Python package to handle password hashes.

It supports many secure hashing algorithms and utilities to work with them.

The recommended algorithm is "Bcrypt".

Make sure you create a [virtual environment](../../virtual-environments.md){.internal-link target=_blank}, activate it, and then install PassLib with Bcrypt:

 * either {@link Boolean} or {@link Arrays}.
 *
 * <p>See the Guava User Guide article on <a
 * href="https://github.com/google/guava/wiki/PrimitivesExplained">primitive utilities</a>.
 *
 * @author Kevin Bourrillion
 * @since 1.0
 */
@GwtCompatible
public final class Booleans {
  private Booleans() {}

  /** Comparators for {@code Boolean} values. */

 * either {@link Boolean} or {@link Arrays}.
 *
 * <p>See the Guava User Guide article on <a
 * href="https://github.com/google/guava/wiki/PrimitivesExplained">primitive utilities</a>.
 *
 * @author Kevin Bourrillion
 * @since 1.0
 */
@GwtCompatible
public final class Booleans {
  private Booleans() {}

  /** Comparators for {@code Boolean} values. */

import java.util.Arrays;
import java.util.Collection;
import java.util.Map.Entry;
import java.util.Objects;
import java.util.concurrent.atomic.AtomicReference;
import org.jspecify.annotations.Nullable;

/**
 * Utilities for working with {@link Type}.
 *
 * @author Ben Yu
 */
final class Types {

  /** Class#toString without the "class " and "interface " prefixes */