1_synthetic-qa-generation/evolve-instruct/evolve.py [312:351]:
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        if before == after:
            return False, "same"
        if after.count('\n') > after.count(" ") * 2:
            return False, "too many lines"
        if after.count('\n') == after.count("- ") > 10:
            return False, "too many items"
        if self.prompt_templates['base'] and self.prompt_templates['base'] in after:
            return False, "prompt leaked 1"
        if "#New Prompt#" in after:
            return False, "prompt leaked 2"
        if "new prompt" in after.lower():
            return False, "prompt leaked 3"
        if "how can i assist" in after.lower():
            return False, "AI"
        if "as an ai" in after.lower():
            return False, "AI"
        if "gpt" in after.lower() and "gpt" not in before.lower():
            return False, "AI"        
        if "ai assistant" in after.lower():
            return False, "AI"
        if "i'm sorry" in after.lower() and "sorry" not in before.lower() and len(after) < 400:
            return False, "sorry"
        if False:
            # too slow in general, not needed
            prompt = """Are the two following prompts equal to each other?
To be equal, they must meet two requirements:
1. Both prompts have the same constraints and requirements.
2. Both prompts have the same depth and breath of the inquiry.
First prompt: %s
Second prompt: %s
Answer with 'Equal' or 'Not Equal'. No need to explain the reason.""" % (before, after)
            answer = self.llm_pipeline(prompt)
            if 'not equal' not in answer.lower():
                return False, "equal"
        return True, "ok"


class AzureGPTPipeline:
    def __init__(self, model_name, **kwargs):
        self.model_name = model_name
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1_synthetic-qa-generation/reasoningplaning/evolve.py [840:879]:
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        if before == after:
            return False, "same"
        if after.count('\n') > after.count(" ") * 2:
            return False, "too many lines"
        if after.count('\n') == after.count("- ") > 10:
            return False, "too many items"
        if self.prompt_templates['base'] and self.prompt_templates['base'] in after:
            return False, "prompt leaked 1"
        if "#New Prompt#" in after:
            return False, "prompt leaked 2"
        if "new prompt" in after.lower():
            return False, "prompt leaked 3"
        if "how can i assist" in after.lower():
            return False, "AI"
        if "as an ai" in after.lower():
            return False, "AI"
        if "gpt" in after.lower() and "gpt" not in before.lower():
            return False, "AI"        
        if "ai assistant" in after.lower():
            return False, "AI"
        if "i'm sorry" in after.lower() and "sorry" not in before.lower() and len(after) < 400:
            return False, "sorry"
        if False:
            # too slow in general, not needed
            prompt = """Are the two following prompts equal to each other?
To be equal, they must meet two requirements:
1. Both prompts have the same constraints and requirements.
2. Both prompts have the same depth and breath of the inquiry.
First prompt: %s
Second prompt: %s
Answer with 'Equal' or 'Not Equal'. No need to explain the reason.""" % (before, after)
            answer = self.llm_pipeline(prompt)
            if 'not equal' not in answer.lower():
                return False, "equal"
        return True, "ok"


class AzureGPTPipeline:
    def __init__(self, model_name, **kwargs):
        self.model_name = model_name
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