class_docstr: Converts lists and related operations to their TF counterpart.
class_docstr_tok: ["Converts","lists","and","related","operations","to","their","TF","counterpart","."]
docstr: Inserts any separate pop() calls that node may use.
docstr_tok: ["Inserts","any","separate","pop","(",")","calls","that","node","may","use","."]
code: def _postprocess_statement(self, node):
      """Inserts any separate pop() calls that node may use."""
      pop_uses = self.state[_Statement].pop_uses
      if pop_uses:
          replacements = []
          for original_call_node, pop_var_name in pop_uses:
              replacements.extend(
                  self._generate_pop_operation(
                      original_call_node, pop_var_name
                  )
              )
          replacements.append(node)
          node = replacements
      self.state[_Statement].exit()
      return node, None
  
imports: import gast
  from tensorflow.python.autograph.core import converter
  from tensorflow.python.autograph.lang import directives
  from tensorflow.python.autograph.pyct import anno
  from tensorflow.python.autograph.pyct import parser
  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 7 for calling the ListTransformer obj's underlying member method code with example usage: obj._postprocess_statement(node) and returns: node,  None