code: def remove_missing_entries(dataset):
      """Remove missing entries.
  
      Some of the datasets have missing entries that sneak in as zero'd out
      feature vectors. Get rid of them.
      """
      for i, (X, y, w, ids) in enumerate(dataset.itershards()):
          available_rows = X.any(axis=1)
          logger.info(
              "Shard %d has %d missing entries."
              % (i, np.count_nonzero(~available_rows))
          )
          X = X[available_rows]
          y = y[available_rows]
          w = w[available_rows]
          ids = ids[available_rows]
          dataset.set_shard(i, X, y, w, ids)
  
imports: import joblib
  import gzip
  import pickle
  import os
  import tempfile
  import tarfile
  import zipfile
  import logging
  from urllib.request import urlretrieve
  from typing import Any, Iterator, List, Optional, Tuple, Union, cast, IO
  import pandas
  import numpy
  import deepchem
label_desc: Use image node_id 20 for calling a global function with example usage: remove_missing_entries(dataset) without return types