Improving logging on sparse_shuffle

    ids: List[np.ndarray] = []

    num_features = -1

    for i in range(num_shards):

      logger.info("Sparsifying shard %d/%d" % (i, num_shards))

      (X_s, y_s, w_s, ids_s) = self.get_shard(i)

      if num_features == -1:

        num_features = X_s.shape[1]

                           w[permutation], ids[permutation])

    # Write shuffled shards out to disk

    for i in range(num_shards):

      logger.info("Sparse shuffling shard %d" % i)

      logger.info("Sparse shuffling shard %d/%d" % (i, num_shards))

      start, stop = i * shard_size, (i + 1) * shard_size

      (X_sparse_s, y_s, w_s, ids_s) = (X_sparse[start:stop], y[start:stop],

                                       w[start:stop], ids[start:stop])

    ----------

    shard_basenames: Optional[List[str]], optional (default None)

      The basenames for each shard. If this isn't specified, will assume the

      default basenames of form "shard-i" used by `create_dataset` and

       basenames of form "shard-i" used by `create_dataset` and

      `reshard`.

    """

    tasks = self.get_task_names()