class_docstr: Puts alls vectors in one bucket. This is used for testing
  the engines and experiments.
docstr: Returns pickle-serializable configuration struct for storage.
code: def get_config(self):
      """
      Returns pickle-serializable configuration struct for storage.
      """
      return {"hash_name": self.hash_name, "dim": self.dim}
  
file_path: NearPy/nearpy/hashes/unibucket.py
imports: import numpy
  from nearpy.hashes.lshash import LSHash
label_desc: Use image node_id 4 for calling the UniBucket obj's underlying member method code with example usage: obj.get_config() and returns: dict