How to use the seml.settings.SETTINGS function in seml

def create_slack_observer(webhook=None):
    from sacred.observers import SlackObserver
    slack_obs = None
    if webhook is None:
        if "OBSERVERS" in SETTINGS and "SLACK" in SETTINGS.OBSERVERS:
            if "WEBHOOK" in SETTINGS.OBSERVERS.SLACK:
                webhook = SETTINGS.OBSERVERS.SLACK.WEBHOOK
                slack_obs = SlackObserver(webhook)
    else:
        slack_obs = SlackObserver(webhook)

    if slack_obs is None:
        logging.warning('Failed to create Slack observer.')
    return slack_obs

def create_neptune_observer(project_name, api_token=None,
                            source_extensions=['**/*.py', '**/*.yaml', '**/*.yml']):
    from neptunecontrib.monitoring.sacred import NeptuneObserver

    if api_token is None:
        if "OBSERVERS" in SETTINGS and "NEPTUNE" in SETTINGS.OBSERVERS:
            if "AUTH_TOKEN" in SETTINGS.OBSERVERS.NEPTUNE:
                api_token = SETTINGS.OBSERVERS.NEPTUNE.AUTH_TOKEN
    else:
        api_token = SETTINGS.OBSERVERS.NEPTUNE.AUTH_TOKEN
    if api_token is None:
        logging.info('No API token for Nepune provided. Trying to use environment variable NEPTUNE_API_TOKEN.')
    neptune_obs = NeptuneObserver(api_token=api_token, project_name=project_name, source_extensions=source_extensions)
    return neptune_obs

# Use current Anaconda environment if not specified
    if 'conda_environment' not in seml_config:
        if 'CONDA_DEFAULT_ENV' in os.environ:
            seml_config['conda_environment'] = os.environ['CONDA_DEFAULT_ENV']
        else:
            seml_config['conda_environment'] = None

    # Set Slurm config with default parameters as fall-back option
    if slurm_config is None:
        slurm_config = {'sbatch_options': {}}
    for k, v in SETTINGS.SLURM_DEFAULT['sbatch_options'].items():
        if k not in slurm_config['sbatch_options']:
            slurm_config['sbatch_options'][k] = v
    del SETTINGS.SLURM_DEFAULT['sbatch_options']
    for k, v in SETTINGS.SLURM_DEFAULT.items():
        if k not in slurm_config:
            slurm_config[k] = v

    slurm_config['sbatch_options'] = remove_prepended_dashes(slurm_config['sbatch_options'])
    collection = get_collection(db_collection_name)
    configs = generate_configs(experiment_config)

    batch_id = get_max_in_collection(collection, "batch_id")
    if batch_id is None:
        batch_id = 1
    else:
        batch_id = batch_id + 1

    if seml_config['use_uploaded_sources']:
        uploaded_files = upload_sources(seml_config, collection, batch_id)
    else:

def queue_experiments(db_collection_name, config_file, force_duplicates, no_hash=False, no_config_check=False):
    seml_config, slurm_config, experiment_config = read_config(config_file)

    # Use current Anaconda environment if not specified
    if 'conda_environment' not in seml_config:
        if 'CONDA_DEFAULT_ENV' in os.environ:
            seml_config['conda_environment'] = os.environ['CONDA_DEFAULT_ENV']
        else:
            seml_config['conda_environment'] = None

    # Set Slurm config with default parameters as fall-back option
    if slurm_config is None:
        slurm_config = {'sbatch_options': {}}
    for k, v in SETTINGS.SLURM_DEFAULT['sbatch_options'].items():
        if k not in slurm_config['sbatch_options']:
            slurm_config['sbatch_options'][k] = v
    del SETTINGS.SLURM_DEFAULT['sbatch_options']
    for k, v in SETTINGS.SLURM_DEFAULT.items():
        if k not in slurm_config:
            slurm_config[k] = v

    slurm_config['sbatch_options'] = remove_prepended_dashes(slurm_config['sbatch_options'])
    collection = get_collection(db_collection_name)
    configs = generate_configs(experiment_config)

    batch_id = get_max_in_collection(collection, "batch_id")
    if batch_id is None:
        batch_id = 1
    else:
        batch_id = batch_id + 1