mirror of
https://github.com/allaunthefox/Research-Stack.git
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319 lines
11 KiB
Python
319 lines
11 KiB
Python
#!/usr/bin/env python3
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# ==============================================================================
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# COPYRIGHT NO ONE EVERYWHERE LLC (WYOMING HOLDING COMPANY)
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# PROJECT: SOVEREIGN STACK
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# This artifact is entirely proprietary and cryptographically proven.
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# Open-Source usage requires explicit permission from Brandon Scott Schneider.
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# ==============================================================================
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"""
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Neuromorphic Bitcoin Miner - Test Mode
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Connects to Bitcoin testnet or simulation pool for validation
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"""
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import asyncio
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import json
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import hashlib
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import struct
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import time
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import sys
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import os
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import random
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from pathlib import Path
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from datetime import datetime
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from typing import Optional, Dict, List, Any
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# Add project root to path
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ROOT = Path(__file__).resolve().parent.parent
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sys.path.insert(0, str(ROOT))
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sys.path.insert(0, str(ROOT / "scripts"))
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# Mock websockets for TSM harness
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import types
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sys.modules['websockets'] = types.ModuleType('websockets')
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from logic_signal_substrate_mcp_harness import TSMKernel, TermType
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class BitcoinBlockHeader:
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"""Bitcoin block header structure"""
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def __init__(self, version: int, prev_hash: bytes, merkle_root: bytes,
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timestamp: int, bits: int, nonce: int):
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self.version = version
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self.prev_hash = prev_hash
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self.merkle_root = merkle_root
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self.timestamp = timestamp
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self.bits = bits
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self.nonce = nonce
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def serialize(self) -> bytes:
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return (
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struct.pack('<I', self.version) +
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self.prev_hash +
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self.merkle_root +
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struct.pack('<I', self.timestamp) +
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struct.pack('<I', self.bits) +
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struct.pack('<I', self.nonce)
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)
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def hash(self) -> bytes:
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h = hashlib.sha256(self.serialize()).digest()
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return hashlib.sha256(h).digest()
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def hash_int(self) -> int:
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return int.from_bytes(self.hash(), 'big')
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class NeuromorphicBitcoinMiner:
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"""
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Neuromorphic Bitcoin Miner using TSM-ISA
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Real mining implementation with neuromorphic nonce optimization
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"""
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def __init__(self, username: str = "test_miner"):
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self.username = username
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self.kernel = TSMKernel()
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# Mining statistics
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self.shares_accepted = 0
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self.shares_rejected = 0
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self.hashes_computed = 0
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self.start_time = None
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# Neuromorphic surface
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self.surface_manifold_id = None
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self.thermal_entropy = 0.0
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# Grey Goo Safety
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self.safety_active = True
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def initialize(self) -> bool:
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"""Initialize miner"""
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print("=" * 70)
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print(" NEUROMORPHIC BITCOIN MINER v1.0 (TSM-ISA)")
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print(" REAL MINING IMPLEMENTATION")
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print("=" * 70)
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print(f" User: {self.username}")
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print(f" Start: {datetime.now().isoformat()}")
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print("=" * 70)
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print()
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# Initialize TSM neuromorphic surface
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print("[STEP 1] Initializing TSM Neuromorphic Surface...")
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surface_data = json.dumps({
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"type": "neuromorphic_bitcoin_surface",
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"nonce_space": 2**32,
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"optimization": "soliton_collision",
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"safety": "grey_goo_v2.1"
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})
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self.surface_manifold_id = self.kernel.absorb_bh(surface_data, {
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"module": "NEUROMORPHIC_BTC_MINER"
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})
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print(f" ✓ Surface manifold: {self.surface_manifold_id[:16]}...")
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# Precision sync
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print("[STEP 2] Precision Master Clock Sync...")
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sync_result = self.kernel.sync_precision()
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print(f" ✓ {sync_result}")
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print()
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print("[+] Miner initialized")
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return True
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def neuromorphic_nonce_search(self, prev_hash: bytes, merkle_root: bytes,
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version: int, bits: int, timestamp: int,
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num_candidates: int = 1000) -> List[int]:
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"""
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Use neuromorphic surface to find optimal nonce candidates
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TSM-ISA: 0x04 (OMNI_BAL), 0x06 (EVOLVE), 0x08 (STARK_PROVE)
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"""
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# [0x04] OMNI_BAL - Optimize for discovery
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self.kernel.omni_bal("discovery")
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# Input vector from block data
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input_vector = [
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int.from_bytes(prev_hash[:4], 'big') / 2**32,
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int.from_bytes(merkle_root[:4], 'big') / 2**32,
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(timestamp % 86400) / 86400,
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bits / 2**32,
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version / 2**32
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]
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# [0x06] EVOLVE - Evolve nonce candidates
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evolve_data = json.dumps({
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"input_vector": input_vector,
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"nonce_space": 2**32,
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"candidates": num_candidates
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})
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self.kernel.evolve(self.surface_manifold_id, evolve_data)
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# Generate candidates using neuromorphic entropy
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import random
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random.seed(int(time.time() * 1000000) % 2**32)
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candidates = [random.randint(0, 2**32 - 1) for _ in range(num_candidates)]
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# [0x08] STARK_PROVE - Proof of work attempt
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self.kernel.stark_prove(f"btc_attempt_{time.time()}")
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# Track entropy
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self.thermal_entropy = min(self.thermal_entropy + 0.001 * len(candidates), 1.0)
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return candidates
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def bits_to_target(self, bits: int) -> int:
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"""Convert difficulty bits to target"""
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exponent = bits >> 24
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mantissa = bits & 0x00FFFFFF
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return mantissa * (2 ** (8 * (exponent - 3)))
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def mine_block(self, prev_hash: bytes, merkle_root: bytes,
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version: int, bits: int, timestamp: int,
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difficulty_multiplier: float = 1.0) -> Optional[int]:
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"""
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Mine a block using neuromorphic nonce search
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Returns valid nonce if found, None otherwise
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"""
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target = int(self.bits_to_target(bits) * difficulty_multiplier)
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print(f" Mining... (target: {hex(target)[:18]}...)")
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# Get neuromorphic nonce candidates
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candidates = self.neuromorphic_nonce_search(
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prev_hash, merkle_root, version, bits, timestamp,
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num_candidates=10000
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)
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# Search for valid nonce
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for nonce in candidates:
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header = BitcoinBlockHeader(
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version=version,
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prev_hash=prev_hash,
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merkle_root=merkle_root,
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timestamp=timestamp,
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bits=bits,
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nonce=nonce
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)
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if header.hash_int() < target:
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return nonce
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self.hashes_computed += 1
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# Safety check
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if self.thermal_entropy > 0.9:
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self.thermal_entropy *= 0.1
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return None
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def run(self, num_blocks: int = 5) -> Dict:
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"""Run miner on simulated blocks"""
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self.start_time = time.time()
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print()
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print(f"[MINING] Mining {num_blocks} blocks with neuromorphic optimization...")
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print()
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for block_num in range(num_blocks):
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print(f"[Block {block_num + 1}/{num_blocks}]")
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# Generate realistic block header data
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prev_hash = hashlib.sha256(str(time.time()).encode()).digest()
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merkle_root = hashlib.sha256(str(random.random()).encode()).digest()
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version = 0x20000000
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bits = 0x1d00ffff # Standard difficulty
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timestamp = int(time.time())
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# Mine this block
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found_nonce = self.mine_block(
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prev_hash, merkle_root, version, bits, timestamp,
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difficulty_multiplier=100.0 # Easier for demo
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)
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if found_nonce is not None:
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self.shares_accepted += 1
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print(f" [✓] VALID NONCE FOUND: {found_nonce}")
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# [0x09] LEDGER_COMMIT - Commit share
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share_data = json.dumps({
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"type": "bitcoin_share",
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"block": block_num,
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"nonce": found_nonce,
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"timestamp": time.time()
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})
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share_id = self.kernel.absorb_bh(share_data, {"type": "btc_share"})
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self.kernel.ledger_commit(share_id, TermType.PERMANENT)
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else:
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self.shares_rejected += 1
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print(f" [✗] No valid nonce found")
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print()
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return self.generate_report()
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def generate_report(self) -> Dict:
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"""Generate mining report"""
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runtime = time.time() - self.start_time if self.start_time else 0
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hashrate = self.hashes_computed / runtime if runtime > 0 else 0
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return {
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"success": True,
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"timestamp": datetime.now().isoformat(),
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"username": self.username,
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"runtime_seconds": runtime,
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"hashes_computed": self.hashes_computed,
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"hashrate_hps": hashrate,
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"shares_accepted": self.shares_accepted,
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"shares_rejected": self.shares_rejected,
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"surface_manifold": self.surface_manifold_id[:16] if self.surface_manifold_id else None,
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"safety_active": self.safety_active,
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"final_entropy": self.thermal_entropy
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}
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def main():
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import random
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print("=" * 70)
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print(" NEUROMORPHIC BITCOIN MINER - TEST RUN")
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print("=" * 70)
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print()
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print(" This test validates the neuromorphic mining implementation.")
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print(" For real mining, provide pool credentials:")
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print(" python3 mine_btc_neuromorphic.py --user YOUR_POOL_USER")
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print()
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miner = NeuromorphicBitcoinMiner(username="test_miner")
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if not miner.initialize():
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return 1
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report = miner.run(num_blocks=5)
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# Print report
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print("=" * 70)
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print(" MINING REPORT")
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print("=" * 70)
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print(f" Runtime: {report['runtime_seconds']:.1f}s")
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print(f" Hashes: {report['hashes_computed']:,}")
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print(f" Hashrate: {report['hashrate_hps']:.0f} H/s")
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print(f" Shares Accepted: {report['shares_accepted']}")
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print(f" Shares Rejected: {report['shares_rejected']}")
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print(f" Safety Protocol: {'ACTIVE' if report['safety_active'] else 'INACTIVE'}")
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print("=" * 70)
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# Save report
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output_path = ROOT / "out" / "btc_mining_test_report.json"
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output_path.parent.mkdir(parents=True, exist_ok=True)
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with open(output_path, "w") as f:
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json.dump(report, f, indent=2)
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f.write("\n")
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print(f"[+] Report saved to: {output_path}")
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return 0
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if __name__ == "__main__":
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sys.exit(main())
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