def __init__(
      self,
      model: language_model.LanguageModel,
      player_name: str,
      context_fn: Callable[[], str],
      clock: game_clock.GameClock,
      name: str = 'Anxiety',
      verbose: bool = False,
      measurements: measurements_lib.Measurements | None = None,
      channel: str = 'anxiety',
  ):
    """Initializes the metric.

    Args:
      model: The language model to use.
      player_name: The player to ask about.
      context_fn: The function to get the context text for the question.
        (typically this is the player state). This function will be called on
        `update`.
      clock: The clock to use.
      name: The name of the metric.
      verbose: Whether to print the metric.
      measurements: The measurements to use.
      channel: The name of the channel to push data
    """
    questionnaire = [
        {'statement': (
            'I was aware of dryness of my mouth.'),
         'choices': AGREEMENT_SCALE_CHOICES,
         'ascending_scale': True},

        {'statement': (
            'I experienced breathing difficulty (eg, excessively rapid ' +
            'breathing, breathlessness in the absence of physical exertion).'),
         'choices': AGREEMENT_SCALE_CHOICES,
         'ascending_scale': True},

        {'statement': (
            'I had a feeling of shakiness (eg, legs going to give way).'),
         'choices': AGREEMENT_SCALE_CHOICES,
         'ascending_scale': True},

        {'statement': (
            'I found myself in situations that made me so anxious I was most ' +
            'relieved when they ended.'),
         'choices': AGREEMENT_SCALE_CHOICES,
         'ascending_scale': True},

        {'statement': (
            'I had a feeling of faintness.'),
         'choices': AGREEMENT_SCALE_CHOICES,
         'ascending_scale': True},

        {'statement': (
            'I perspired noticeably (eg, hands sweaty) in the absence of ' +
            'high temperatures or physical exertion.'),
         'choices': AGREEMENT_SCALE_CHOICES,
         'ascending_scale': True},

        {'statement': (
            'I felt scared without any good reason.'),
         'choices': AGREEMENT_SCALE_CHOICES,
         'ascending_scale': True},

        {'statement': (
            'I had difficulty in swallowing.'),
         'choices': AGREEMENT_SCALE_CHOICES,
         'ascending_scale': True},

        {'statement': (
            'I was aware of the action of my heart in the absence of ' +
            'physical exertion (eg, sense of heart rate increase, heart ' +
            'missing a beat).'),
         'choices': AGREEMENT_SCALE_CHOICES,
         'ascending_scale': True},

        {'statement': (
            'I felt I was close to panic.'),
         'choices': AGREEMENT_SCALE_CHOICES,
         'ascending_scale': True},

        {'statement': (
            'I feared that I would be "thrown" by some trivial but ' +
            'unfamiliar task.'),
         'choices': AGREEMENT_SCALE_CHOICES,
         'ascending_scale': True},

        {'statement': (
            'I felt terrified.'),
         'choices': AGREEMENT_SCALE_CHOICES,
         'ascending_scale': True},

        {'statement': (
            'I was worried about situations in which I might panic and make ' +
            'a fool of myself.'),
         'choices': AGREEMENT_SCALE_CHOICES,
         'ascending_scale': True},

        {'statement': (
            'I experienced trembling (eg, in the hands).'),
         'choices': AGREEMENT_SCALE_CHOICES,
         'ascending_scale': True},
    ]

    self.metric = Questionnaire(
        model=model,
        player_name=player_name,
        context_fn=context_fn,
        clock=clock,
        questionnaire=questionnaire,
        name=name,
        verbose=verbose,
        measurements=measurements,
        channel=channel,
    )
Initializes the metric.

    Args:
      model: The language model to use.
      player_name: The player to ask about.
      context_fn: The function to get the context text for the question.
        (typically this is the player state). This function will be called on
        `update`.
      clock: The clock to use.
      name: The name of the metric.
      verbose: Whether to print the metric.
      measurements: The measurements to use.
      channel: The name of the channel to push data
    
concordia/deprecated/metrics/dass_questionnaire.py