class_docstr: A simple default backend that stores the chain in memory
class_docstr_tok: ["A","simple","default","backend","that","stores","the","chain","in","memory"]
code: def get_value(self, name, flat=False, thin=1, discard=0):
      if self.iteration <= 0:
          raise AttributeError(
              "you must run the sampler with "
              "'store == True' before accessing the "
              "results"
          )
  
      if name == "blobs" and not self.has_blobs():
          return None
  
      v = getattr(self, name)[
          discard + thin - 1 : self.iteration : thin
      ]
      if flat:
          s = list(v.shape[1:])
          s[0] = np.prod(v.shape[:2])
          return v.reshape(s)
      return v
  
imports: import numpy
  from ..None import autocorr
  from ..state import State
label_desc: Use image node_id 4 for calling the Backend obj's underlying member method code with example usage: obj.get_value(name, flat, thin, discard) and returns: v, None, v