class_docstr: Puts alls vectors in one bucket. This is used for testing
  the engines and experiments.
docstr: Applies config
code: def apply_config(self, config):
      """
      Applies config
      """
      self.hash_name = config["hash_name"]
      self.dim = config["dim"]
  
file_path: NearPy/nearpy/hashes/unibucket.py
imports: import numpy
  from nearpy.hashes.lshash import LSHash
label_desc: Use image node_id 5 for calling the UniBucket obj's underlying member method code with example usage: obj.apply_config(config) without return types