///

## Cuerpos de listas puras

Si el valor superior del cuerpo JSON que esperas es un `array` JSON (una `list` en Python), puedes declarar el tipo en el parámetro de la función, al igual que en los modelos Pydantic:

```Python
images: List[Image]
```

o en Python 3.9 y superior:

```Python
images: list[Image]
```

como en:

  }

  public <F extends Enum<F> & Function<String, Integer> & Iterable<Long>>
      void testResolveType_fromTypeVariable() {
    TypeToken<?> f = TypeToken.of(new TypeCapture<F>() {}.capture());
    assertEquals(String.class, f.resolveType(Function.class.getTypeParameters()[0]).getType());
    assertEquals(Integer.class, f.resolveType(Function.class.getTypeParameters()[1]).getType());

		CurvePreferences: crypto.TLSCurveIDs(),
		TCPOptions:       globalTCPOptions,
		EnableHTTP2:      false,
	}.NewRemoteTargetHTTPTransport(insecure)
}

// ceilFrac takes a numerator and denominator representing a fraction
// and returns its ceiling. If denominator is 0, it returns 0 instead
// of crashing.
func ceilFrac(numerator, denominator int64) (ceil int64) {
	if denominator == 0 {
		// do nothing on invalid input
		return

   * This method does so by hashing 64 bits of the IPv6 address into {@code 224.0.0.0/3} (64 bits
   * into 29 bits):
   *
   * <ul>
   *   <li>If the IPv6 address contains an embedded IPv4 address, the function hashes that.
   *   <li>Otherwise, it hashes the upper 64 bits of the IPv6 address.
   * </ul>
   *
   * <p>A "coerced" IPv4 address is equivalent to itself.
   *

 * supported. The elements can be any objects.
 *
 * <p>{@code contains(x)}, {@code add(x)} and {@code remove(x)}, are all (expected and amortized)
 * constant time operations. Expected in the hashtable sense (depends on the hash function doing a
 * good job of distributing the elements to the buckets to a distribution not far from uniform), and
 * amortized since some operations can trigger a hash table resize.
 *

import java.util.AbstractList;
import java.util.Arrays;
import java.util.Collection;
import java.util.List;
import java.util.RandomAccess;
import java.util.Spliterator;
import java.util.Spliterators;
import java.util.function.LongConsumer;
import java.util.stream.LongStream;
import org.jspecify.annotations.Nullable;

/**
 * An immutable array of {@code long} values, with an API resembling {@link List}.
 *

   * to dump the queue into a newly allocated array of {@code String}:
   *
   * <pre>
   *     String[] y = x.toArray(new String[0]);</pre>
   *
   * <p>Note that {@code toArray(new Object[0])} is identical in function to {@code toArray()}.
   *
   * @param a the array into which the elements of the queue are to be stored, if it is big enough;
   *     otherwise, a new array of the same runtime type is allocated for this purpose

import java.util.AbstractList;
import java.util.Arrays;
import java.util.Collection;
import java.util.List;
import java.util.RandomAccess;
import java.util.Spliterator;
import java.util.Spliterators;
import java.util.function.IntConsumer;
import java.util.stream.IntStream;
import org.jspecify.annotations.Nullable;

/**
 * An immutable array of {@code int} values, with an API resembling {@link List}.
 *

        String processOutput = "Test output";
        RuntimeException throwException = null;

        @Override
        public JobProcess startProcess(String sessionId, List<String> cmdList, java.util.function.Consumer<ProcessBuilder> pbConsumer) {
            if (throwException != null) {
                throw throwException;
            }

            startProcessCalled = true;

	return deleteBucketLocal(ctx, bucket, opts)
}

// client to talk to peer Nodes.
type remotePeerS3Client struct {
	node  Node
	pools []int

	// Function that returns the grid connection for this peer when initialized.
	// Will return nil if the grid connection is not initialized yet.
	gridConn func() *grid.Connection
}

// S3PeerSys - S3 peer call system.