<SYSTEM_TASK:>
Solve the following problem using Python, implementing the functions described below, one line at a time
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<USER_TASK:>
Description:
 def full_task(self, token_id, presented_pronunciation, pronunciation, pronunciation_probability, warn=True, default=True):
 """Provide the prediction of the full task. This function is used to predict the probability of a given pronunciation being reported for a given token. :param token_id: The token for which the prediction is provided :param pronunciation: The pronunciation for which the prediction is being made (as a list of strings or space separated string) :param pronunciation_probability: The probability of the pronunciation for the given token :param warn: Set to False in order to avoid warnings about 0 or 1 probabilities :param default: Set to False in order to avoid generating the default probabilities """


        if pronunciation_probability is not None and not 0. < pronunciation_probability < 1. and warn:
            logging.warning('Setting a probability of [{}] to pronunciation [{}] for token [{}].\n '
                            'Using probabilities of 0.0 or 1.0 '
                            'may lead to likelihoods of -Infinity'.format(pronunciation_probability,
                                                                          pronunciation,
                                                                          token_id))

        key = pronunciation
        if isinstance(key, list):
            if not all([isinstance(phoneme, basestring) for phoneme in key]):
                raise ValueError('The pronunciation must be of type string (a sequence of space separated phonemes) '
                                 'or of type list (containing phonemes of type strings).'
                                 'User supplied: {}'.format(key))

            key = ' '.join(pronunciation)

        default_preds = self._full_default(presented_pronunciation) if default else {}

        self['tokens'].setdefault(token_id, {}) \
            .setdefault('full', default_preds)

        if key is not None:
            if pronunciation_probability is not None:
                self['tokens'][token_id]['full'][key] = pronunciation_probability

            else:
                if key in default_preds:
                    self['tokens'][token_id]['full'][key] = default_preds[key]

                else:
                    self['tokens'][token_id]['full'].pop(key)