class_docstr: Unit tests for the correct error prompt class
docstr: Test that the __str__ method is implemented
docstr_tok: ["Test","that","the","__str__","method","is","implemented"]
code: def test_str_with_args(self):
      """Test that the __str__ method is implemented"""
  
      llm = FakeLLM("plt.show()")
      dfs = [
          SmartDataframe(
              pd.DataFrame({}),
              config={"llm": llm},
          )
      ]
      prompt = CorrectErrorPrompt(
          engine="pandas",
          code="df.head()",
          error_returned="Error message",
      )
      prompt.set_var("dfs", dfs)
      prompt.set_var("conversation", "What is the correct code?")
      prompt_content = prompt.to_string()
      if sys.platform.startswith("win"):
          prompt_content = prompt_content.replace("\r\n", "\n")
  
      assert (
          prompt_content
          == """<dataframe>
  dfs[0]:0x0
  
  </dataframe>
  
  The user asked the following question:
  What is the correct code?
  
  You generated this python code:
  df.head()
  
  It fails with the following error:
  Error message
  
  Fix the python code above and return the new python code:"""  # noqa: E501
      )
  
imports: import sys
  import pandas
  from pandasai import SmartDataframe
  from pandasai.prompts import CorrectErrorPrompt
  from pandasai.llm.fake import FakeLLM
label_desc: Use image node_id 1 for calling the TestCorrectErrorPrompt obj's underlying member method code with example usage: obj.test_str_with_args() without return types