return errors.New("archive/zip: invalid duplicate FileHeader")
	}
	return nil
}

// CreateHeader adds a file to the zip archive using the provided [FileHeader]
// for the file metadata. [Writer] takes ownership of fh and may mutate
// its fields. The caller must not modify fh after calling [Writer.CreateHeader].
//
// This returns a [Writer] to which the file contents should be written.

    * As we said above, only one process can be listening on a specific IP and port.
    * This is one of the reasons why it's very useful when the same TLS Termination Proxy also takes care of the certificate renewal process.

  // +optional
  optional LifecycleHandler preStop = 2;
}

// LifecycleHandler defines a specific action that should be taken in a lifecycle
// hook. One and only one of the fields, except TCPSocket must be specified.
message LifecycleHandler {
  // Exec specifies the action to take.
  // +optional
  optional ExecAction exec = 1;

  // HTTPGet specifies the http request to perform.
  // +optional

            ContiguousSet.closedOpen(Integer.MIN_VALUE, Integer.MIN_VALUE),
            ImmutableSortedSet.of(),
            ImmutableSet.of())
        .testEquals();
    // not testing hashCode for these because it takes forever to compute
    assertEquals(
        ContiguousSet.closed(Integer.MIN_VALUE, Integer.MAX_VALUE),
        ContiguousSet.create(Range.<Integer>all(), integers()));
    assertEquals(

/// info | "`@decorator` Info"

That `@something` syntax in Python is called a "decorator".

You put it on top of a function. Like a pretty decorative hat (I guess that's where the term came from).

A "decorator" takes the function below and does something with it.

In our case, this decorator tells **FastAPI** that the function below corresponds to the **path** `/` with an **operation** `get`.

It is the "**path operation decorator**".

      }
    };
  }

  /**
   * Shuts down the given executor service gradually, first disabling new submissions and later, if
   * necessary, cancelling remaining tasks.
   *
   * <p>The method takes the following steps:
   *
   * <ol>
   *   <li>calls {@link ExecutorService#shutdown()}, disabling acceptance of new submitted tasks.
   *   <li>awaits executor service termination for half of the specified timeout.

eight bytes at the address specified in <code>R9</code>.
</p>

<p>
If a vector instruction takes a length or an index as an argument then it will be the
first argument.
For example, <code>VLEIF</code> <code>$1,</code> <code>$16,</code> <code>V2</code> will load
the value sixteen into index one of <code>V2</code>.
Care should be taken when using vector instructions to ensure that they are available at
runtime.

	return f.permissions.CriticalOptions["AccessKey"]
}

func (f *sftpDriver) Fileread(r *sftp.Request) (ra io.ReaderAt, err error) {
	// This is not timing the actual read operation, but the time it takes to prepare the reader.
	stopFn := globalSftpMetrics.log(r, f.AccessKey())
	defer stopFn(0, err)

	flags := r.Pflags()
	if !flags.Read {
		// sanity check
		return nil, os.ErrInvalid
	}

 *
 * <p>Subclasses are guaranteed that the life cycle methods ({@link #runOneIteration}, {@link
 * #startUp} and {@link #shutDown}) will never run concurrently. Notably, if any execution of {@link
 * #runOneIteration} takes longer than its schedule defines, then subsequent executions may start
 * late. Also, all life cycle methods are executed with a lock held, so subclasses can safely modify

This can be quite noticeable when using `docker compose`. See this Docker Compose FAQ section for more technical details: <a href="https://docs.docker.com/compose/faq/#why-do-my-services-take-10-seconds-to-recreate-or-stop" class="external-link" target="_blank">Why do my services take 10 seconds to recreate or stop?</a>.

#### Directory Structure

You should now have a directory structure like:

```
.
├── app
│   ├── __init__.py