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Solve the following problem using Python, implementing the functions described below, one line at a time
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Description:
 def _what_default(self, pronunciation):
 """Provide the default prediction of the what task. This function is used to predict the probability of a given pronunciation being reported for a given token. :param pronunciation: The list or array of confusion probabilities at each index """


        token_default = self['metadata']['token_default']['what']
        index_count = 2*len(pronunciation) + 1

        predictions = {}
        for i in range(index_count):
            index_predictions = {}

            if i % 2 == 0:
                index_predictions.update(token_default['0'])

            else:
                presented_phoneme = pronunciation[int((i-1)/2)]
                index_predictions[presented_phoneme] = token_default['1']['=']
                index_predictions['*'] = token_default['1']['*']
                index_predictions[''] = token_default['1']['']

            predictions['{}'.format(i)] = index_predictions

        return predictions