class_docstr: Implementation of the "run" command.
class_docstr_tok: ["Implementation","of","the","``","run","''","command","."]
code: 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
      )
  
      llm_fn = command_utils.create_llm_function(
          models=self._models,
          env=self._ipython_env,
          parsed_args=parsed_args,
          cell_content=cell_content,
          post_processing_fns=post_processing_fns,
      )
  
      results = llm_fn(inputs=inputs)
      output_utils.write_to_outputs(
          results=results, parsed_args=parsed_args
      )
      return results.as_pandas_dataframe()
  
file_path: generative-ai-python/google/generativeai/notebook/run_cmd.py
imports: from __future__ import annotations
  from typing import Sequence
  from google.generativeai.notebook import command
  from google.generativeai.notebook import command_utils
  from google.generativeai.notebook import input_utils
  from google.generativeai.notebook import ipython_env
  from google.generativeai.notebook import model_registry
  from google.generativeai.notebook import output_utils
  from google.generativeai.notebook import parsed_args_lib
  from google.generativeai.notebook import post_process_utils
  import pandas
label_desc: Use image node_id 2 for calling the RunCommand obj's underlying member method code with example usage: obj.execute(parsed_args, cell_content, post_processing_fns) and returns: results