class_docstr: Canonicalizes continue statements into additional conditionals.
class_docstr_tok: ["Canonicalizes","continue","statements","into","additional","conditionals","."]
code: def _postprocess_statement(self, node):
      if self.state[_Continue].used:
          block = self.state[_Block]
          should_wrap_current = block.create_guard_current
          # After processing propagate whether to guard the next statement
          block.create_guard_current = block.create_guard_next
          block.create_guard_next = False
          if should_wrap_current:
              template = """
            if not var_name:
              original_node
          """
              (cond,) = templates.replace(
                  template,
                  var_name=self.state[_Continue].control_var_name,
                  original_node=node,
              )
              return cond, cond.body
      return node, None
  
imports: from tensorflow.python.autograph.core import converter
  from tensorflow.python.autograph.pyct import anno
  from tensorflow.python.autograph.pyct import qual_names
  from tensorflow.python.autograph.pyct import templates
  from tensorflow.python.autograph.pyct.static_analysis import activity
  from tensorflow.python.autograph.pyct.static_analysis.annos import NodeAnno
label_desc: Use image node_id 2 for calling the ContinueCanonicalizationTransformer obj's underlying member method code with example usage: obj._postprocess_statement(node) and returns: node,  None, cond,  cond