google/generativeai/notebook/eval_cmd.py [34:58]:
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    def __init__(
        self,
        models: model_registry.ModelRegistry,
        env: ipython_env.IPythonEnv | None = None,
    ):
        """Constructor.

        Args:
          models: ModelRegistry instance.
          env: The IPythonEnv environment.
        """
        super().__init__()
        self._models = models
        self._ipython_env = env

    def execute(
        self,
        parsed_args: parsed_args_lib.ParsedArgs,
        cell_content: str,
        post_processing_fns: Sequence[post_process_utils.ParsedPostProcessExpr],
    ) -> pandas.DataFrame:
        # We expect CmdLineParser to have already read the inputs once to validate
        # that the placeholders in the prompt are present in the inputs, so we can
        # suppress the status messages here.
        inputs = input_utils.join_inputs_sources(parsed_args, suppress_status_msgs=True)
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google/generativeai/notebook/run_cmd.py [34:58]:
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    def __init__(
        self,
        models: model_registry.ModelRegistry,
        env: ipython_env.IPythonEnv | None = None,
    ):
        """Constructor.

        Args:
          models: ModelRegistry instance.
          env: The IPythonEnv environment.
        """
        super().__init__()
        self._models = models
        self._ipython_env = env

    def execute(
        self,
        parsed_args: parsed_args_lib.ParsedArgs,
        cell_content: str,
        post_processing_fns: Sequence[post_process_utils.ParsedPostProcessExpr],
    ) -> pandas.DataFrame:
        # We expect CmdLineParser to have already read the inputs once to validate
        # that the placeholders in the prompt are present in the inputs, so we can
        # suppress the status messages here.
        inputs = input_utils.join_inputs_sources(parsed_args, suppress_status_msgs=True)
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