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: nllb.rs
    path of file: ./repos/rust-bert/tests
    
    the code of the file until where you have to start completion: use rust_bert::nllb::{
    NLLBConfigResources, NLLBLanguages, NLLBMergeResources, NLLBResources, NLLBVocabResources,
};
use rust_bert::pipelines::common::{ModelResource, ModelType};
use rust_bert::pipelines::translation::{Language, TranslationConfig, TranslationModel};
use rust_bert::resources::RemoteResource;
use tch::Device;

#[test]
// #[cfg_attr(not(feature = "all-tests"), ignore)]
fn nllb_translation() -> anyhow::Result<()> {
    let model_resource = ModelResource::Torch(Box::new(RemoteResource::from_pretrained(
        NLLBResources::NLLB_600M_DISTILLED,
    )));
    let config_resource = RemoteResource::from_pretrained(NLLBConfigResources::NLLB_600M_DISTILLED);
    let vocab_resource = RemoteResource::from_pretrained(NLLBVocabResources::NLLB_600M_DISTILLED);
    let merges_resource = RemoteResource::from_pretrained(NLLBMergeResources::NLLB_600M_DISTILLED);
    // let special_map = RemoteResource::from_pretrained(N
    
fn nllb_translation() -> anyhow::Result<()> {
    let model_resource = ModelResource::Torch(Box::new(RemoteResource::from_pretrained(
        NLLBResources::NLLB_600M_DISTILLED,
    )));
    let config_resource = RemoteResource::from_pretrained(NLLBConfigResources::NLLB_600M_DISTILLED);
    let vocab_resource = RemoteResource::from_pretrained(NLLBVocabResources::NLLB_600M_DISTILLED);
    let merges_resource = RemoteResource::from_pretrained(NLLBMergeResources::NLLB_600M_DISTILLED);
    // let special_map = RemoteResource::from_pretrained(NLLBSpecialMap::NLLB_600M_DISTILLED);

    let source_languages = NLLBLanguages::NLLB;
    let target_languages = NLLBLanguages::NLLB;

    let translation_config = TranslationConfig::new(
        ModelType::NLLB,
        model_resource,
        config_resource,
        vocab_resource,
        Some(merges_resource),
        source_languages,
        target_languages,
        Device::Cpu,
    );
    let model = TranslationModel::new(translation_config)?;

    let source_sentence = "This sentence will be translated in multiple languages.";

    let mut outputs = Vec::new();
    outputs.extend(model.translate(&[source_sentence], Language::English, Language::French)?);
    outputs.extend(model.translate(&[source_sentence], Language::English, Language::Spanish)?);
    outputs.extend(model.translate(&[source_sentence], Language::English, Language::Hindi)?);

    assert_eq!(outputs.len(), 3);
    assert_eq!(
        outputs[0],
        " Cette phrase sera traduite en plusieurs langues."
    );
    assert_eq!(outputs[1], " Esta frase será traducida a varios idiomas.");
    assert_eq!(outputs[2], " यह वाक्य कई भाषाओं में अनुवादित किया जाएगा।");

    Ok(())
}