class_docstr: Encapsulation of the basic CFG state changes needed for lowering.
class_docstr_tok: ["Encapsulation","of","the","basic","CFG","state","changes","needed","for","lowering","."]
code: def append_block(self, block):
      self.blocks.append(block)
  
imports: import collections
  from tensorflow_probability.python.experimental.auto_batching import instructions
  from tensorflow_probability.python.experimental.auto_batching import liveness
label_desc: Use image node_id 3 for calling the ControlFlowGraphBuilder obj's underlying member method code with example usage: obj.append_block(block) without return types