StepFun Formalizer 7B

50
5
7.0B
1 language
license:apache-2.0
by
stepfun-ai
Language Model
OTHER
7B params
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50 downloads
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Quick Summary

AI model with specialized capabilities.

Device Compatibility

Mobile
4-6GB RAM
Laptop
16GB RAM
Server
GPU
Minimum Recommended
7GB+ RAM

Code Examples

Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n
Usagepythontransformers
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer

def get_formal_statement_prompt(informal_problem: str, header: str = "import Mathlib\n") -> str:
    prompt = "Please autoformalize the following problem in Lean 4 with a header. Use the following theorem names: my_favorite_theorem.\n\n"
    prompt += informal_problem
    prompt += f"\n\nYour code should start with:\n

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