How to use the questionary.constants.DEFAULT_STYLE function in questionary

multiple items, use `Choice("foo", checked=True)` instead.

        qmark: Question prefix displayed in front of the question.
               By default this is a `?`

        style: A custom color and style for the question parts. You can
               configure colors as well as font types for different elements.

        use_pointer: Flag to enable the pointer in front of the currently
                     highlighted element.

    Returns:
        Question: Question instance, ready to be prompted (using `.ask()`).
    """

    merged_style = merge_styles([DEFAULT_STYLE, style])

    ic = InquirerControl(choices, default, use_pointer=use_pointer)

    def get_prompt_tokens():
        tokens = []

        tokens.append(("class:qmark", qmark))
        tokens.append(("class:question", " {} ".format(message)))
        if ic.is_answered:
            nbr_selected = len(ic.selected_options)
            if nbr_selected == 0:
                tokens.append(("class:answer", " done"))
            elif nbr_selected == 1:
                if isinstance(ic.get_selected_values()[0].title, list):
                    tokens.append(
                        (

message: Question text

           default: Default value will be returned if the user just hits
                    enter.

           qmark: Question prefix displayed in front of the question.
                  By default this is a `?`

           style: A custom color and style for the question parts. You can
                  configure colors as well as font types for different elements.

       Returns:
           Question: Question instance, ready to be prompted (using `.ask()`).
       """

    merged_style = merge_styles([DEFAULT_STYLE, style])

    status = {"answer": None}

    def get_prompt_tokens():
        tokens = []

        tokens.append(("class:qmark", qmark))
        tokens.append(("class:question", " {} ".format(message)))

        if status["answer"] is not None:
            answer = " {}".format(YES if status["answer"] else NO)
            tokens.append(("class:answer", answer))
        else:
            instruction = " {}".format(YES_OR_NO if default else NO_OR_YES)
            tokens.append(("class:instruction", instruction))

This can either be a function accepting the input and
                     returning a boolean, or an class reference to a
                     subclass of the prompt toolkit Validator class.

           qmark: Question prefix displayed in front of the question.
                  By default this is a `?`

           style: A custom color and style for the question parts. You can
                  configure colors as well as font types for different elements.

       Returns:
           Question: Question instance, ready to be prompted (using `.ask()`).
    """

    merged_style = merge_styles([DEFAULT_STYLE, style])

    validator = build_validator(validate)

    def get_prompt_tokens() -> List[Tuple[Text, Text]]:
        return [("class:qmark", qmark), ("class:question", " {} ".format(message))]

    p = PromptSession(
        get_prompt_tokens, style=merged_style, validator=validator, **kwargs
    )
    p.default_buffer.reset(Document(default))

    return Question(p.app)

This can either be a function accepting the input and
                  returning a boolean, or an class reference to a
                  subclass of the prompt toolkit Validator class.

        style: A custom color and style for the question parts. You can
               configure colors as well as font types for different elements.

    Returns:
        Question: Question instance, ready to be prompted (using `.ask()`).
    """

    if not choices:
        raise ValueError("No choices is given, you should use Text question.")

    merged_style = merge_styles([DEFAULT_STYLE, style])

    def get_prompt_tokens() -> List[Tuple[Text, Text]]:
        return [("class:qmark", qmark), ("class:question", " {} ".format(message))]

    def get_meta_style(meta: Dict[Text, Any]):
        if meta:
            for key in meta:
                meta[key] = HTML("").format(meta[key])

        return meta

    validator = build_validator(validate)

    if completer is None:
        # use the default completer
        completer = WordCompleter(

Returns:
        Question: Question instance, ready to be prompted (using `.ask()`).
    """
    if choices is None or len(choices) == 0:
        raise ValueError("A list of choices needs to be provided.")

    if use_shortcuts and len(choices) > len(InquirerControl.SHORTCUT_KEYS):
        raise ValueError(
            "A list with shortcuts supports a maximum of {} "
            "choices as this is the maximum number "
            "of keyboard shortcuts that are available. You"
            "provided {} choices!"
            "".format(len(InquirerControl.SHORTCUT_KEYS), len(choices))
        )

    merged_style = merge_styles([DEFAULT_STYLE, style])

    ic = InquirerControl(
        choices,
        default,
        use_indicator=use_indicator,
        use_shortcuts=use_shortcuts,
        use_pointer=use_pointer,
    )

    def get_prompt_tokens():
        # noinspection PyListCreation
        tokens = [("class:qmark", qmark), ("class:question", " {} ".format(message))]

        if ic.is_answered:
            if isinstance(ic.get_pointed_at().title, list):
                tokens.append(