def __init__(self, filenames, numdim_list, total_size, keys=[], verbose=False,
              **kwargs):
    """Initializes a Disk object.

    Args:
      filenames: List of list of filenames.
      numdim_list: List of integers that represent the dimensionality of the
        data.
      total_size: Number of data points in the dataset (sum over all files).
      verbose: If True, will print out details of what is happening.
    """
    assert len(filenames) == len(numdim_list)
    self.num_data = len(filenames)
    self.numdim_list = numdim_list
    self.filenames = filenames
    self._num_file_list = [len(filename_list) for filename_list in filenames]
    self._maxpos = total_size
    self.verbose = verbose
    self.left_overs = [None]*self.num_data
    self.last_read_chunk = [None]*self.num_data
    self.last_read_file = [-1]*self.num_data
    self.data = [None]*self.num_data
    if keys:
      self.keys = keys
    else:
      self.keys = [None]*self.num_data
Initializes a Disk object.

    Args:
      filenames: List of list of filenames.
      numdim_list: List of integers that represent the dimensionality of the
        data.
      total_size: Number of data points in the dataset (sum over all files).
      verbose: If True, will print out details of what is happening.
    
deepnet/datahandler.py