<SYSTEM_TASK:>
Solve the following problem using Python, implementing the functions described below, one line at a time
<END_TASK>
<USER_TASK:>
Description:
 def store_checksums(dataset_name, sizes_checksums):
 """Store given checksums and sizes for specific dataset. Content of file is never disgarded, only updated. This is to ensure that if process is killed right after first download finishes, checksums registered during previous runs aren't lost. It is the responsibility of the caller not to call function multiple times in parallel for a given dataset. Only original file content is updated. This means the entire set of new sizes and checksums must be given at every call. Args: dataset_name: string. sizes_checksums: dict, {url: (size_in_bytes, checksum)}. """

  path = _get_path(dataset_name)
  original_data = _get_sizes_checksums(path)
  new_data = original_data.copy()
  new_data.update(sizes_checksums)
  if original_data == new_data:
    return
  with tf.io.gfile.GFile(path, 'w') as f:
    for url, (size, checksum) in sorted(new_data.items()):
      f.write('%s %s %s\n' % (url, size, checksum))