kernels_main = r"""
"""
from main_auto import *
kernels = kernels_aux + kernels_main
import os
try: # CuPy when a CUDA device answers, otherwise numpy under the same name (SPIRAL_CUDA=0 forces numpy).
    if os.environ.get('SPIRAL_CUDA', '1') == '0': raise ImportError('SPIRAL_CUDA=0')
    import cupy as cp
    if cp.cuda.runtime.getDeviceCount() < 1: raise RuntimeError('no CUDA device')
    cuda = True
except Exception:
    import numpy as cp
    cuda = False
from dataclasses import dataclass
from typing import NamedTuple, Union, Callable, Tuple
i8 = int; i16 = int; i32 = int; i64 = int; u8 = int; u16 = int; u32 = int; u64 = int; f32 = float; f64 = float; char = str; string = str
import sys
sys.setrecursionlimit(1 << 30)

def f_c0(env_v0 : f32, env_v1 : string):
    def inner(v2 : i32) -> Tuple[f32, string]:
        nonlocal env_v0, env_v1
        v0 = env_v0; v1 = env_v1
        v3 = v2 == 0
        if v3:
            del v0, v1, v3
            v4 = "no"
            return 0.0, v4
        else:
            del v3
            return v0, v1
    return inner
def main():
    v0 = 1.5
    v1 = "hi"
    v2 = f_c0(v0, v1)
    del v0, v1
    v3, v4 = v2(1)
    del v2
    v5 = v3 == 1.5
    del v3
    if v5:
        v6 = v4 == "hi"
        v7 = v6
    else:
        v7 = False
    del v4, v5
    if v7:
        del v7
        return 0
    else:
        del v7
        return 1

if __name__ == '__main__': sys.exit(main())