def to_normalized_inputs()

in google/generativeai/notebook/lib/llmfn_inputs_source.py [0:0]

• 9 lines of code
• 5 McCabe index (conditional complexity)

    def to_normalized_inputs(self, suppress_status_msgs: bool = False) -> NormalizedInputsList:
        """Returns a sequence of normalized inputs.

        The return value is a sequence of dictionaries of (placeholder, value)
        pairs, e.g. [{"word": "hot"}, {"word: "cold"}, ....]

        These are used for keyword-substitution for prompts in LLMFunctions.

        Args:
          suppress_status_msgs: If True, suppress status messages regarding the
            input being read.

        Returns:
          A sequence of normalized inputs.
        """
        if self._cached_inputs is None:
            (
                self._cached_inputs,
                self._display_status_fn,
            ) = self._to_normalized_inputs_impl()
        if not suppress_status_msgs:
            self._display_status_fn()
        return self._cached_inputs