class_docstr: Puts alls vectors in one bucket. This is used for testing
  the engines and experiments.
docstr: Resets / Initializes the hash for the specified dimension. 
code: def reset(self, dim):
      """Resets / Initializes the hash for the specified dimension."""
      self.dim = dim
  
file_path: NearPy/nearpy/hashes/unibucket.py
imports: import numpy
  from nearpy.hashes.lshash import LSHash
label_desc: Use image node_id 2 for calling the UniBucket obj's underlying member method code with example usage: obj.reset(dim) without return types