def __getitem__()

in src/data.py [0:0]

• 15 lines of code
• 6 McCabe index (conditional complexity)

    def __getitem__(self, _):
        ret = None
        while ret is None:
            try:
                ret = self.try_random_slice()
                if self.augmentation:
                    ret = [ret, self.augmentation(ret)]
                else:
                    ret = [ret, ret]

                if self.dataset_name == 'wav':
                    ret = [mu_law(x / 2 ** 15) for x in ret]
            except Exception as e:
                logger.info('Exception %s in dataset __getitem__, path %s', e, self.path)
                logger.debug('Exception in H5Dataset', exc_info=True)

        return torch.tensor(ret[0]), torch.tensor(ret[1])