Random random = new Random();

    int sizeRemaining = size;

    // TODO(kevinb): generate better test contents for multisets
    while (sizeRemaining > 0) {
      // The JVM will return interned values for small ints.
      Integer value = random.nextInt(1000) + 128;
      int count = min(random.nextInt(10) + 1, sizeRemaining);
      sizeRemaining -= count;
      hashMultiset.add(value, count);
      linkedHashMultiset.add(value, count);

import static com.google.common.collect.Lists.transform;
import static java.lang.Math.min;
import static java.util.concurrent.Executors.newFixedThreadPool;

import com.google.common.primitives.Ints;
import java.util.List;
import java.util.Random;
import java.util.concurrent.Callable;
import java.util.concurrent.ConcurrentHashMap;
import java.util.concurrent.ConcurrentMap;

# work. That's because the Proguard configuration required to make them work on
# optimized code would preclude lots of optimization, like converting enums
# into ints.

# Throwables uses internal APIs for lazy stack trace resolution
-dontnote sun.misc.SharedSecrets
-keep class sun.misc.SharedSecrets {
  *** getJavaLangAccess(...);
}
-dontnote sun.misc.JavaLangAccess

            assertEquals(EncryptionNegotiateContext.CIPHER_AES128_GCM, SMBUtil.readInt2(buffer, offset + 2));
        }

        @ParameterizedTest
        @ValueSource(ints = { 1, 3, 5, 10, 20 })
        @DisplayName("Should encode various cipher counts correctly")
        void testEncodeVariousCipherCounts(int cipherCount) {
            int[] ciphers = new int[cipherCount];

    BloomFilter<byte[]> bf = BloomFilter.create(Funnels.byteArrayFunnel(), 100);
    for (int i = 0; i < 10; i++) {
      bf.put(Ints.toByteArray(i));
    }

    BloomFilter<byte[]> copy = SerializableTester.reserialize(bf);
    for (int i = 0; i < 10; i++) {
      assertTrue(copy.mightContain(Ints.toByteArray(i)));
    }
    assertThat(copy.expectedFpp()).isEqualTo(bf.expectedFpp());

import com.google.common.annotations.GwtCompatible;
import com.google.common.annotations.GwtIncompatible;
import com.google.common.annotations.J2ktIncompatible;
import com.google.common.primitives.Ints;
import com.google.errorprone.annotations.CanIgnoreReturnValue;
import java.io.IOException;
import java.io.ObjectInputStream;
import java.io.ObjectOutputStream;
import java.io.Serializable;

 * the License.
 */

package com.google.common.primitives;

import jsinterop.annotations.JsMethod;
import jsinterop.annotations.JsPackage;

/** Web specializations for {@link Ints} methods. */
public abstract class IntsMethodsForWeb {

  @JsMethod(name = "Math.min", namespace = JsPackage.GLOBAL)
  public static native int min(int... array);

            """
        ),
    ] = "https://fastapi.tiangolo.com/img/favicon.png",
    with_google_fonts: Annotated[
        bool,
        Doc(
            """
            Load and use Google Fonts.
            """
        ),
    ] = True,
) -> HTMLResponse:
    """
    Generate and return the HTML response that loads ReDoc for the alternative
    API docs (normally served at `/redoc`).

    String[] strings = {"hello", "world"};
    int[] ints = {2, 42};
    Object[] objects = {"obj"};
    @Nullable String[] arrayWithNull = new @Nullable String[] {null};
    Object[] empty = {};
    String toTest =
        MoreObjects.toStringHelper("TSH")
            .add("strings", strings)
            .add("ints", ints)
            .add("objects", objects)

# Introducción a Tipos en Python { #python-types-intro }

Python tiene soporte para "anotaciones de tipos" opcionales (también llamadas "type hints").

Estas **"anotaciones de tipos"** o type hints son una sintaxis especial que permite declarar el <abbr title="por ejemplo: str, int, float, bool">tipo</abbr> de una variable.

Al declarar tipos para tus variables, los editores y herramientas te pueden proporcionar un mejor soporte.