text: import gzip
  from ..utils.data_utils import get_file
  from six.moves import cPickle
  import sys
  
  
  def load_data(path='mnist.pkl.gz'):
      """Loads the MNIST dataset.
  
      # Arguments
          path: path where to cache the dataset locally
              (relative to ~/.keras/datasets).
  
      # Returns
          Tuple of Numpy arrays: `(x_train, y_train), (x_test, y_test)`.
      """
      path = get_file(path, origin='https://s3.amazonaws.com/img-datasets/mnist.pkl.gz')
  
      if path.endswith('.gz'):
          f = gzip.open(path, 'rb')
      else:
          f = open(path, 'rb')
  
      if sys.version_info < (3,):
          data = cPickle.load(f)
      else:
          data = cPickle.load(f, encoding='bytes')
  
      f.close()
      return data  # (x_train, y_train), (x_test, y_test)
  