#!/usr/bin/env python3
from decimal import Decimal, getcontext
from typing import List
import math
import time
import logging

# High-precision φ
getcontext().prec = 128
PHI = Decimal('1.6180339887498948482045868343656381177203091798057628621354')
SATURATE = Decimal('9223372036854775807')  # Max i64

logging.basicConfig(level=logging.INFO, format='%(asctime)s - %(message)s')
logger = logging.getLogger(__name__)

# --------------------------------------
# φ-Operations
# --------------------------------------
class PhiOps:
    @staticmethod
    def evolve(x: Decimal) -> Decimal:
        return (x * PHI) % SATURATE

    @staticmethod
    def unified_evolve(dims: List[Decimal]) -> List[Decimal]:
        result = []
        for i in range(8):
            interaction = sum(
                PHI ** abs(dims[i] - dims[j])
                for j in range(8) if j != i
            )
            evolved = PHI ** (interaction / Decimal(7))
            result.append(evolved % SATURATE)
        return result

# --------------------------------------
# Lattice State
# --------------------------------------
class HDGLState:
    def __init__(self):
        self.dimensions = [Decimal(i+1) for i in range(8)]
        self.evolution_count = 0
        self.halted = False

    def __repr__(self):
        dims = ", ".join(f"{d:.4f}" for d in self.dimensions)
        return f"<HDGLState dims=[{dims}] evolutions={self.evolution_count}>"

# --------------------------------------
# Minimal VM
# --------------------------------------
class HDGLVM:
    def __init__(self):
        self.state = HDGLState()
        self.pc = 0

    def execute(self, program: List[tuple]) -> HDGLState:
        while not self.state.halted and self.pc < len(program):
            opcode, args = program[self.pc]

            if opcode == 1:  # PhiEvolve single dimension
                idx = int(args[0]) if args else 0
                idx = idx % 8
                self.state.dimensions[idx] = PhiOps.evolve(self.state.dimensions[idx])

            elif opcode == 20:  # Unified evolve
                self.state.dimensions = PhiOps.unified_evolve(self.state.dimensions)

            elif opcode == 99:  # Halt
                self.state.halted = True

            self.pc += 1

        self.state.evolution_count += 1
        return self.state

# --------------------------------------
# Continuous Lattice Runner
# --------------------------------------
class LatticeRunner:
    """Runs the VM continuously on the lattice with tick intervals"""

    def __init__(self, interval: float = 1.0):
        self.vm = HDGLVM()
        self.interval = interval  # seconds per tick

    def run(self):
        logger.info("Starting lattice VM...")
        program = [
            (20, []),   # unified evolve
        ]
        try:
            while True:
                self.vm.execute(program)
                logger.info(f"Tick {self.vm.state.evolution_count}: D1={self.vm.state.dimensions[0]:.4f}, D8={self.vm.state.dimensions[7]:.4f}")
                time.sleep(self.interval)
        except KeyboardInterrupt:
            logger.info("Lattice VM stopped")
            logger.info(f"Final state: {self.vm.state}")

# --------------------------------------
# Run if main
# --------------------------------------
if __name__ == "__main__":
    runner = LatticeRunner(interval=1.0)
    runner.run()
