class_docstr: An abstract class which implements probability distributions 
class_docstr_tok: ["An","abstract","class","which","implements","probability","distributions"]
docstr: Returns dimension 
docstr_tok: ["Returns","dimension"]
code: def get_dim(self):
      """Returns dimension"""
      return self.dim
  
imports: from ..sampling.slice import Slice
  from ..sampling.metropolis import Metropolis, BinaryMetropolis
  from ..sampling.nuts import NoUTurnSamplerDA, LeapFrog
label_desc: Use image node_id 7 for calling the Distribution obj's underlying member method code with example usage: obj.get_dim() and returns: self