class_docstr: Puts alls vectors in one bucket. This is used for testing
  the engines and experiments.
docstr: Just keeps the name. 
code: def __init__(self, hash_name):
      """Just keeps the name."""
      super(UniBucket, self).__init__(hash_name)
      self.dim = None
  
file_path: NearPy/nearpy/hashes/unibucket.py
imports: import numpy
  from nearpy.hashes.lshash import LSHash
label_desc: Use image node_id 1 to create a new UniBucket object from inherited base classes: LSHash with example: obj = UniBucket(hash_name)