def munge()

in src/autotrain/app/params.py [0:0]

• 27 lines of code
• 13 McCabe index (conditional complexity)

    def munge(self):
        if self.task == "text-classification":
            return self._munge_params_text_clf()
        elif self.task == "seq2seq":
            return self._munge_params_seq2seq()
        elif self.task == "image-classification":
            return self._munge_params_img_clf()
        elif self.task == "image-object-detection":
            return self._munge_params_img_obj_det()
        elif self.task.startswith("tabular"):
            return self._munge_params_tabular()
        elif self.task.startswith("llm"):
            return self._munge_params_llm()
        elif self.task == "token-classification":
            return self._munge_params_token_clf()
        elif self.task == "text-regression":
            return self._munge_params_text_reg()
        elif self.task.startswith("st:"):
            return self._munge_params_sent_transformers()
        elif self.task == "image-regression":
            return self._munge_params_img_reg()
        elif self.task.startswith("vlm"):
            return self._munge_params_vlm()
        elif self.task == "extractive-qa":
            return self._munge_params_extractive_qa()
        else:
            raise ValueError(f"Unknown task: {self.task}")