* @since 33.4.0 (but since 22.0 in the JRE flavor)
   */
  /*
   * We have to rely on users not to call this without library desugaring, as NewApi won't flag
   * Consumer creation.
   */
  @IgnoreJRERequirement
  public void forEachLine(Consumer<? super String> action) throws IOException {
    try (Stream<String> lines = lines()) {
      // The lines should be ordered regardless in most cases, but use forEachOrdered to be sure

        private final TransferEvent event;

        private Exchange(TransferEvent event) {
            this.event = event;
        }

        public void process(Consumer<TransferEvent> consumer) {
            consumer.accept(event);
        }

        public void waitForProcessed() throws InterruptedException {
            // nothing, is async
        }
    }

import java.io.UncheckedIOException;
import java.io.Writer;
import java.nio.charset.Charset;
import java.util.ArrayList;
import java.util.Iterator;
import java.util.List;
import java.util.function.Consumer;
import java.util.stream.Stream;
import org.jspecify.annotations.Nullable;

/**
 * A readable source of characters, such as a text file. Unlike a {@link Reader}, a {@code

        private final TransferEvent event;

        private Exchange(TransferEvent event) {
            this.event = event;
        }

        public void process(Consumer<TransferEvent> consumer) {
            consumer.accept(event);
        }

        public void waitForProcessed() throws InterruptedException {
            // nothing, is async
        }
    }

  private inline fun <T : Any> ResponseBody.consumeSource(
    consumer: (BufferedSource) -> T,
    sizeMapper: (T) -> Int,
  ): T {
    val contentLength = contentLength()
    if (contentLength > Int.MAX_VALUE) {
      throw IOException("Cannot buffer entire body for content length: $contentLength")
    }

    val bytes = source().use(consumer)
    val size = sizeMapper(bytes)

Por ejemplo, si tu código carga un modelo de Machine Learning con **1 GB de tamaño**, cuando ejecutas un proceso con tu API, consumirá al menos 1 GB de RAM. Y si inicias **4 procesos** (4 workers), cada uno consumirá 1 GB de RAM. Así que, en total, tu API consumirá **4 GB de RAM**.

Y si tu servidor remoto o máquina virtual solo tiene 3 GB de RAM, intentar cargar más de 4 GB de RAM causará problemas. 🚨

      result.write(this, i)
      // Consume '"'.
      readByte()
      return result.readUtf8()
    }

    if (size == i + 1L) return null // Dangling escape.
    result.write(this, i)
    // Consume '\'.
    readByte()
    result.write(this, 1L) // The escaped character.
  }
}

/**
 * Consumes and returns a non-empty token, terminating at special characters in

    // Note that this may be be an encoded "end of data" header.
    return DerHeader(tagClass, tag, constructed, length)
  }

  /**
   * Consume a header and execute [block], which should consume the entire value described by the
   * header. It is an error to not consume a full value in [block].
   */
  internal inline fun <T> read(
    name: String?,
    block: (DerHeader) -> T,
  ): T {

### Memória do servidor { #server-memory }

Por exemplo, se seu código carrega um modelo de Machine Learning com **1 GB de tamanho**, quando você executa um processo com sua API, ele consumirá pelo menos 1 GB de RAM. E se você iniciar **4 processos** (4 trabalhadores), cada um consumirá 1 GB de RAM. Então, no total, sua API consumirá **4 GB de RAM**.

import java.io.PrintStream;
import java.util.function.Consumer;

public class LoggingOutputStream extends FilterOutputStream {

    static final byte[] LINE_SEP = System.lineSeparator().getBytes();

    final EolBaos buf;
    final Consumer<String> consumer;

    public LoggingOutputStream(Consumer<String> consumer) {
        this(new EolBaos(), consumer);
    }