def prepare_prompt()

in src/models/struxgpt_v2.py [0:0]

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

    def prepare_prompt(self, text: str, **kwargs):
        if kwargs.get('input_sent_enum', False):
            sentences_str = text
        else:
            sentence_list = []
            for para in text.splitlines():
                if len(white_space_fix(para)) == 0:
                    continue
                sentence_list.extend(self.split_to_sentence(para))
            sentences_str = self.mapping_sentence(sentence_list)
        prompt = self.map_prompt_template(sentences=sentences_str)
        
        if kwargs.get('return_sentences_str', False):
            return prompt, sentences_str
        else:
            return prompt