parameters: (self)
return_statement: return completions
docstring: Return :class:`classes.Completion` objects. Those objects contain
          information about the completions, more than just names.
  
          :return: Completion objects, sorted by name and __ comes last.
          :rtype: list of :class:`classes.Completion`
docstring_summary: Return :class:`classes.Completion` objects. Those objects contain
          information about the completions, more than just names.
docstring_tokens: Return : class : classes . Completion objects . Those objects contain information about the completions more than just names .
function: def completions(self):
          """
          Return :class:`classes.Completion` objects. Those objects contain
          information about the completions, more than just names.
  
          :return: Completion objects, sorted by name and __ comes last.
          :rtype: list of :class:`classes.Completion`
          """
          debug.speed('completions start')
          completion = Completion(
              self._evaluator, self._get_module(), self._code_lines,
              self._pos, self.call_signatures
          )
          completions = completion.completions()
  
          def iter_import_completions():
              for c in completions:
                  tree_name = c._name.tree_name
                  if tree_name is None:
                      continue
                  definition = tree_name.get_definition()
                  if definition is not None \
                          and definition.type in ('import_name', 'import_from'):
                      yield c
  
          if len(list(iter_import_completions())) > 10:
              # For now disable completions if there's a lot of imports that
              # might potentially be resolved. This is the case for tensorflow
              # and has been fixed for it. This is obviously temporary until we
              # have a better solution.
              self._evaluator.infer_enabled = False
  
          debug.speed('completions end')
          return completions
function_tokens: def completions ( self ) : debug . speed ( 'completions start' ) completion = Completion ( self . _evaluator , self . _get_module ( ) , self . _code_lines , self . _pos , self . call_signatures ) completions = completion . completions ( ) def iter_import_completions ( ) : for c in completions : tree_name = c . _name . tree_name if tree_name is None : continue definition = tree_name . get_definition ( ) if definition is not None and definition . type in ( 'import_name' , 'import_from' ) : yield c if len ( list ( iter_import_completions ( ) ) ) > 10 : # For now disable completions if there's a lot of imports that # might potentially be resolved. This is the case for tensorflow # and has been fixed for it. This is obviously temporary until we # have a better solution. self . _evaluator . infer_enabled = False debug . speed ( 'completions end' ) return completions