class_docstr: Puts alls vectors in one bucket. This is used for testing
  the engines and experiments.
docstr: Hashes the vector and returns the bucket key as string.
code: def hash_vector(self, v, querying=False):
      """
      Hashes the vector and returns the bucket key as string.
      """
      # Return bucket key identical to vector string representation
      return [self.hash_name + ""]
  
file_path: NearPy/nearpy/hashes/unibucket.py
imports: import numpy
  from nearpy.hashes.lshash import LSHash
label_desc: Use image node_id 3 for calling the UniBucket obj's underlying member method code with example usage: obj.hash_vector(v, querying) and returns: list