You are an expert in writing code in many different languages. Your goal is to perform code completion for the following code, keeping in mind the rest of the code and the file meta data.
    Metadata details:
    filename: lib.rs
    path of file: ./repos/LibAFL/fuzzers/libfuzzer_libpng_centralized/src
    
    the code of the file until where you have to start completion: //! A libfuzzer-like fuzzer with llmp-multithreading support and restarts
//! The example harness is built for libpng.
//! In this example, you will see the use of the `launcher` feature.
//! The `launcher` will spawn new processes for each cpu core.
use mimalloc::MiMalloc;
#[global_allocator]
static GLOBAL: MiMalloc = MiMalloc;

use core::time::Duration;
use std::{env, net::SocketAddr, path::PathBuf};

u
    
pub extern "C" fn libafl_main() {
    env_logger::init();

    // Registry the metadata types used in this fuzzer
    // Needed only on no_std
    // unsafe { RegistryBuilder::register::<Tokens>(); }
    let opt = Opt::parse();

    let broker_port = opt.broker_port;
    let cores = opt.cores;

    println!(
        "Workdir: {:?}",
        env::current_dir().unwrap().to_string_lossy().to_string()
    );

    let shmem_provider = StdShMemProvider::new().expect("Failed to init shared memory");

    let monitor = MultiMonitor::new(|s| println!("{s}"));

    let mut run_client = |state: Option<_>, mut mgr, _core_id: CoreId| {
        // Create an observation channel using the coverage map
        let edges_observer = HitcountsMapObserver::new(unsafe { std_edges_map_observer("edges") });

        // Create an observation channel to keep track of the execution time
        let time_observer = TimeObserver::new("time");

        // Feedback to rate the interestingness of an input
        // This one is composed by two Feedbacks in OR
        let mut feedback = feedback_or!(
            // New maximization map feedback linked to the edges observer and the feedback state
            MaxMapFeedback::tracking(&edges_observer, true, false),
            // Time feedback, this one does not need a feedback state
            TimeFeedback::with_observer(&time_observer)
        );

        // A feedback to choose if an input is a solution or not
        let mut objective = feedback_or_fast!(CrashFeedback::new(), TimeoutFeedback::new());

        // If not restarting, create a State from scratch
        let mut state = state.unwrap_or_else(|| {
            StdState::new(
                // RNG
                StdRand::with_seed(current_nanos()),
                // Corpus that will be evolved, we keep it in memory for performance
                InMemoryCorpus::new(),
                // Corpus in which we store solutions (crashes in this example),
                // on disk so the user can get them after stopping the fuzzer
                OnDiskCorpus::new(&opt.output).unwrap(),
                // States of the feedbacks.
                // The feedbacks can report the data that should persist in the State.
                &mut feedback,
                // Same for objective feedbacks
                &mut objective,
            )
            .unwrap()
        });

        println!("We're a client, let's fuzz :)");

        // Create a PNG dictionary if not existing
        if state.metadata_map().get::<Tokens>().is_none() {
            state.add_metadata(Tokens::from([
                vec![137, 80, 78, 71, 13, 10, 26, 10], // PNG header
                "IHDR".as_bytes().to_vec(),
                "IDAT".as_bytes().to_vec(),
                "PLTE".as_bytes().to_vec(),
                "IEND".as_bytes().to_vec(),
            ]));
        }

        // Setup a basic mutator with a mutational stage
        let mutator = StdScheduledMutator::new(havoc_mutations().merge(tokens_mutations()));
        let mut stages = tuple_list!(StdMutationalStage::new(mutator));

        // A minimization+queue policy to get testcasess from the corpus
        let scheduler = IndexesLenTimeMinimizerScheduler::new(QueueScheduler::new());

        // A fuzzer with feedbacks and a corpus scheduler
        let mut fuzzer = StdFuzzer::new(scheduler, feedback, objective);

        // The wrapped harness function, calling out to the LLVM-style harness
        let mut harness = |input: &BytesInput| {
            let target = input.target_bytes();
            let buf = target.as_slice();
            libfuzzer_test_one_input(buf);
            ExitKind::Ok
        };

        // Create the executor for an in-process function with one observer for edge coverage and one for the execution time
        #[cfg(target_os = "linux")]
        let mut executor = InProcessExecutor::batched_timeout(
            &mut harness,
            tuple_list!(edges_observer, time_observer),
            &mut fuzzer,
            &mut state,
            &mut mgr,
            opt.timeout,
        )?;

        #[cfg(not(target_os = "linux"))]
        let mut executor = InProcessExecutor::with_timeout(
            &mut harness,
            tuple_list!(edges_observer, time_observer),
            &mut fuzzer,
            &mut state,
            &mut mgr,
            opt.timeout,
        )?;

        // The actual target run starts here.
        // Call LLVMFUzzerInitialize() if present.
        let args: Vec<String> = env::args().collect();
        if libfuzzer_initialize(&args) == -1 {
            println!("Warning: LLVMFuzzerInitialize failed with -1");
        }

        // In case the corpus is empty (on first run), reset
        if state.must_load_initial_inputs() {
            state
                .load_initial_inputs(&mut fuzzer, &mut executor, &mut mgr, &opt.input)
                .unwrap_or_else(|_| panic!("Failed to load initial corpus at {:?}", &opt.input));
            println!("We imported {} inputs from disk.", state.corpus().count());
        }

        fuzzer.fuzz_loop(&mut stages, &mut executor, &mut state, &mut mgr)?;
        Ok(())
    };

    match CentralizedLauncher::builder()
        .shmem_provider(shmem_provider)
        .configuration(EventConfig::from_name("default"))
        .monitor(monitor)
        .run_client(&mut run_client)
        .cores(&cores)
        .broker_port(broker_port)
        .remote_broker_addr(opt.remote_broker_addr)
        .stdout_file(Some("/dev/null"))
        .build()
        .launch()
    {
        Ok(()) => (),
        Err(Error::ShuttingDown) => println!("Fuzzing stopped by user. Good bye."),
        Err(err) => panic!("Failed to run launcher: {err:?}"),
    }
}