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: main.rs
    path of file: ./repos/LibAFL/fuzzers/backtrace_baby_fuzzers/forkserver_executor/src
    
    the code of the file until where you have to start completion: use std::path::PathBuf;

use libafl::{
    corpus::{InMemoryCorpus, OnDiskCorpus},
    events::SimpleEventManager,
    executors::forkserver::ForkserverExecutor,
    feedback_and,
    feedbacks::{CrashFeedback, MaxMapFeedback, NewHashFeedback},
    fuzzer::{Fuzzer, StdFuzzer},
    generators::RandPrintablesGenerator,
    inputs::BytesInput,
    monitors::SimpleMonitor,
    mutators::scheduled::{havoc_mutations, StdScheduledMutator},
    observers::{AsanBacktraceObserver, ConstMapObserver, HitcountsMapObserver},
    schedulers::QueueScheduler,
    stages::mutational::StdMutationalStage,
    state::StdState,
};
#[cfg(not(target_vendor = "apple"))]
use libafl_bolts::shmem::StdShMemProvider;
#[cfg(target_vendor = "apple")]
use libafl_bolts::shmem::UnixShMemProvider;
use libafl_bolts::{
    current_nanos,
    rands::StdRand,
    shmem::{ShMem, ShMemProvider},
    tuples::tuple_list,
    AsMutSlice,
};

#[allow(clippy::similar_names)]
pub fn main() {
    const MAP_SIZE: usize = 2621440;

    //Coverage map shared between observer and executor
    #[cfg(target_vendor = "apple")]
    let mut shmem_provider = UnixShMemProvider::new().unwrap();

    #[cfg(not(target_vendor = "apple"))]
    let mut shmem_provider = StdShMemProvider::new().unwrap();

    let mut shmem = shmem_provider.new_shmem(MAP_SIZE).unwrap();
    //let the forkserver know the shmid
    shmem.write_to_env("__AFL_SHM_ID").unwrap();
    let shmem_map = shmem.as_mut_slice();

    // Create an observation channel using the signals map
    let edges_observer = HitcountsMapObserver::new(ConstMapObserver::<_, MAP_SIZE>::new(
        "shared_mem",
        shmem_map,
    ));

    let bt_observer = AsanBacktraceObserver::new("AsanBacktraceObserver");

    // Feedback to rate the interestingness of an input
    // This one is composed by two Feedbacks in OR
    let mut feedback = MaxMapFeedback::tracking(&edges_observer, true, false);

    // A feedback to choose if an input is a solution or not
    // We want to do the same crash deduplication that AFL does
    let mut objective = feedback_and!(CrashFeedback::new(), NewHashFeedback::new(&bt_observer));

    // create a State from scratch
    let mut state = StdState::new(
        // RNG
        StdRand::with_seed(current_nanos()),
        // Corpus that will be evolved, we keep it in memory for performance
        InMemoryCorpus::<BytesInput>::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(PathBuf::from("./crashes")).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();

    // The Monitor trait define how the fuzzer stats 
    
pub fn main() {
    const MAP_SIZE: usize = 2621440;

    //Coverage map shared between observer and executor
    #[cfg(target_vendor = "apple")]
    let mut shmem_provider = UnixShMemProvider::new().unwrap();

    #[cfg(not(target_vendor = "apple"))]
    let mut shmem_provider = StdShMemProvider::new().unwrap();

    let mut shmem = shmem_provider.new_shmem(MAP_SIZE).unwrap();
    //let the forkserver know the shmid
    shmem.write_to_env("__AFL_SHM_ID").unwrap();
    let shmem_map = shmem.as_mut_slice();

    // Create an observation channel using the signals map
    let edges_observer = HitcountsMapObserver::new(ConstMapObserver::<_, MAP_SIZE>::new(
        "shared_mem",
        shmem_map,
    ));

    let bt_observer = AsanBacktraceObserver::new("AsanBacktraceObserver");

    // Feedback to rate the interestingness of an input
    // This one is composed by two Feedbacks in OR
    let mut feedback = MaxMapFeedback::tracking(&edges_observer, true, false);

    // A feedback to choose if an input is a solution or not
    // We want to do the same crash deduplication that AFL does
    let mut objective = feedback_and!(CrashFeedback::new(), NewHashFeedback::new(&bt_observer));

    // create a State from scratch
    let mut state = StdState::new(
        // RNG
        StdRand::with_seed(current_nanos()),
        // Corpus that will be evolved, we keep it in memory for performance
        InMemoryCorpus::<BytesInput>::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(PathBuf::from("./crashes")).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();

    // The Monitor trait define how the fuzzer stats are reported to the user
    let monitor = SimpleMonitor::new(|s| println!("{s}"));

    // The event manager handle the various events generated during the fuzzing loop
    // such as the notification of the addition of a new item to the corpus
    let mut mgr = SimpleEventManager::new(monitor);

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

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

    let mut executor = ForkserverExecutor::builder()
        .program("./target/release/program")
        .arg_input_file_std()
        .shmem_provider(&mut shmem_provider)
        .build(tuple_list!(bt_observer, edges_observer))
        .unwrap();

    // Generator of printable bytearrays of max size 32
    let mut generator = RandPrintablesGenerator::new(3);

    // Generate 8 initial inputs
    state
        .generate_initial_inputs(&mut fuzzer, &mut executor, &mut generator, &mut mgr, 8)
        .expect("Failed to generate the initial corpus");

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

    fuzzer
        .fuzz_loop(&mut stages, &mut executor, &mut state, &mut mgr)
        .expect("Error in the fuzzing loop");
}