Pantograph/examples_search/miniF2F_search.py

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#!/usr/bin/env python3
import subprocess
from pathlib import Path
from pantograph.server import Server
from pantograph.search_llm import LLMAgent
def get_project_and_lean_path():
cwd = Path(__file__).parent.resolve() / 'Example'
p = subprocess.check_output(['lake', 'env', 'printenv', 'LEAN_PATH'], cwd=cwd)
return cwd, p
if __name__ == '__main__':
project_path, lean_path = get_project_and_lean_path()
print(f"$PWD: {project_path}")
print(f"$LEAN_PATH: {lean_path}")
server = Server(imports=["Mathlib"], project_path=project_path, lean_path=lean_path)
target = "∀ (b h v : ) (h₀ : 0 < b ∧ 0 < h ∧ 0 < v) (h₁ : v = 1 / 3 * (b * h)) (h₂ : b = 30) (h₃ : h = 13 / 2) , v = 65"
# target = "theorem mathd_algebra_478\n (b h v : )\n (h₀ : 0 < b ∧ 0 < h ∧ 0 < v)\n (h₁ : v = 1 / 3 * (b * h))\n (h₂ : b = 30)\n (h₃ : h = 13 / 2) :\n v = 65 := sorry"
agent = LLMAgent(server)
flag = agent.search(server=server, target=target, verbose=True)