grok_universe.py

import time
import zlib
import pickle
from collections import deque
import functools
import random

def cpc_guard(timeout=0.3):
    """Hawking CPC: runtime guard with timeouts (no causality violations)."""
    def decorator(func):
        @functools.wraps(func)
        def wrapper(*args, **kwargs):
            start = time.time()
            result = func(*args, **kwargs)
            if time.time() - start > timeout:
                raise RuntimeError(f"CPC violation: timeout ({time.time()-start:.3f}s) — causality protected!")
            return result
        return wrapper
    return decorator

class HolographicUniverse:
    """
    dS/CFT toy model: universe as pure information processor.
    AdS/CFT training wheels → full dS via Λ-driven expansion + CCC cycles.
    Time emerges purely from scheduler + entropy processing rate (Landauer/Bekenstein spirit).
    """
    def __init__(self, cosmological_constant=0.1, ops_per_tick=4, seed=42):
        random.seed(seed)
        self.ledger = deque()                    # append-only holographic boundary
        self.cosmological_constant = cosmological_constant   # Λ = memory allocator
        self.virtual_time = 0.0                  # emergent scheduler time
        self.ops_per_tick = ops_per_tick         # Time as RxJava scheduler: rate limit
        self.aeon = 0
        self.total_info_processed = 0

    def allocate(self, data):
        """Cosmological Constant as memory allocator → dS expansion."""
        current_size = len(self.ledger)
        allocation = max(1, int(current_size * self.cosmological_constant) + 1)
        for _ in range(allocation):
            self.ledger.append(None)             # expand boundary
        # memcpy-style placement
        if self.ledger:
            idx = random.randint(0, len(self.ledger)-1)
            self.ledger[idx] = data
        else:
            self.ledger.append(data)
        print(f"[ALLOC Λ={self.cosmological_constant}] +{allocation} slots | '{data}' placed | size={len(self.ledger)}")

    @cpc_guard()
    def move_data(self, from_idx, to_idx):
        """Data movement (assignment/memcpy) under CPC guard."""
        data = self.ledger[from_idx]
        self.ledger[to_idx] = data
        self.ledger[from_idx] = None
        print(f"[MEMCPY t={self.virtual_time:.1f}] {from_idx} → {to_idx}")
        return True

    def scheduler_tick(self):
        """Time = RxJava virtual scheduler: controlled pace, limited work per tick."""
        self.virtual_time += 1.0
        ops_done = 0
        print(f"\n[SCHEDULER t={self.virtual_time:.1f}] tick start — max {self.ops_per_tick} ops")
        while ops_done < self.ops_per_tick and self.ledger:
            if random.random() < 0.6 and len(self.ledger) > 1:
                f = random.randint(0, len(self.ledger)-1)
                t = random.randint(0, len(self.ledger)-1)
                if f != t:
                    self.move_data(f, t)
                    ops_done += 1
                    self.total_info_processed += 1
            else:
                idx = random.randint(0, len(self.ledger)-1)
                if self.ledger[idx] is not None:
                    self.ledger[idx] = f"proc_{self.ledger[idx]}"
                    ops_done += 1
                    self.total_info_processed += 1
        print(f"[SCHEDULER] {ops_done} ops | total processed: {self.total_info_processed}")

    def ccc_cycle(self):
        """Penrose CCC = garbage collector / compactor / zip on append-only ledger."""
        print(f"\n[CCC AEON {self.aeon} → {self.aeon+1}] compressing ledger...")
        serialized = pickle.dumps(list(self.ledger))
        compressed = zlib.compress(serialized, level=9)
        ratio = len(compressed) / len(serialized) if serialized else 1
        print(f"[CCC] {len(serialized)} → {len(compressed)} bytes (ratio {ratio:.3f})")
        # conformal reset to new low-entropy aeon
        self.ledger = deque([f"aeon_{self.aeon}_seed"])
        self.ledger.extend([None] * int(10 * self.cosmological_constant))
        self.aeon += 1
        self.virtual_time = 0.0   # time resets per aeon (emergent)
        print(f"[CCC] new aeon ready | size={len(self.ledger)}")

    def run_simulation(self, ticks=2, cycles=2):
        print("=== Holographic dS/CFT Universe Simulation ===")
        for c in range(cycles):
            print(f"\n=== Aeon {c} ===")
            self.allocate(f"bigbang_data_{c}")
            for _ in range(ticks):
                self.scheduler_tick()
            self.ccc_cycle()
        print(f"\n=== End of run ===\nAeons: {self.aeon} | Total info: {self.total_info_processed}")

# Run it
if __name__ == "__main__":
    uni = HolographicUniverse(cosmological_constant=0.12, ops_per_tick=5)
    uni.run_simulation(ticks=3, cycles=2)