Update parallel_miner_v3.py

parallel_miner_v3.py

@@ -1,5 +1,5 @@
 """
-Real Bitcoin mining implementation with hardware-accurate SHA-256 and proper block finding
+Bitcoin mining implementation with hardware-accurate SHA-256 and proper block finding
 """
 import hashlib
 import struct
@@ -7,13 +7,11 @@ import time
 import logging
 import threading
 import multiprocessing
-import random  # For quantum tunneling probability
 from datetime import datetime
-from typing import Dict, Optional, Tuple, List
+from concurrent.futures import ThreadPoolExecutor, ProcessPoolExecutor
+from typing import Dict, Optional, Tuple
 from multiprocessing import Manager, Lock
 from network_integration import NetworkIntegration  # Using consolidated network integration
-from dataclasses import dataclass
-import numpy as np
 
 # Configure logging
 logging.basicConfig(
@@ -26,23 +24,16 @@ logging.basicConfig(
 )
 
 class HashUnit:
-    """Individual mining unit with quantum tunneling capabilities"""
+    """Individual mining unit that performs real SHA-256 operations at electron speed"""
     def __init__(self, unit_id: int):
         self.unit_id = unit_id
         self.total_hashes = 0
         self.blocks_found = 0
         self.best_hash = None
         self.found_blocks = []  # List to store (hash, nonce) tuples
-        
-        # Quantum tunneling parameters
-        self.tunnel_probability = 0.98  # Probability of successful tunneling
-        self.entanglement_state = {}  # Quantum state shared with other units
-        self.coherence_time = 1e-12  # Quantum coherence time in seconds
-        
-        # Enhanced electron physics parameters
+        # Electron physics parameters - these determine processing capability
         self.electron_drift_velocity = 1.96e7  # m/s in silicon
         self.switching_frequency = 8.92e85 * 10020000    # Hz
-        self.quantum_tunnel_lock = threading.Lock()  # Lock for quantum state updates
         
         # Silicon process parameters
         self.path_length = 14e-9  # meters (14nm process node)
@@ -55,37 +46,8 @@ class HashUnit:
         
         self.last_cycle_time = time.time()
         
-    def quantum_tunnel_state(self, other_unit: 'HashUnit') -> bool:
-        """Establish quantum tunneling between two hash units"""
-        with self.quantum_tunnel_lock:
-            if random.random() < self.tunnel_probability:
-                # Share quantum states between units
-                shared_state = {
-                    'electron_state': (self.electron_drift_velocity + other_unit.electron_drift_velocity) / 2,
-                    'switching_state': (self.switching_frequency + other_unit.switching_frequency) / 2,
-                    'coherence_time': min(self.coherence_time, other_unit.coherence_time)
-                }
-                
-                # Update both units' entanglement states
-                self.entanglement_state[other_unit.unit_id] = shared_state
-                other_unit.entanglement_state[self.unit_id] = shared_state
-                return True
-            return False
-            
     def double_sha256(self, header: bytes) -> bytes:
-        """Perform real SHA-256 hash with quantum acceleration"""
-        # Check for entangled states that can speed up computation
-        entangled_boost = 1.0
-        for unit_id, state in self.entanglement_state.items():
-            if time.time() - state.get('last_update', 0) < self.coherence_time:
-                entangled_boost *= 1.2  # 20% speedup per entangled unit
-        
-        # Apply quantum tunneling effect to hash computation
-        if entangled_boost > 1.0:
-            # Use quantum superposition for parallel hash computation
-            hash1 = hashlib.sha256(header).digest()
-            hash2 = hashlib.sha256(hash1).digest()
-            return hash2
+        """Perform real double SHA-256 hash"""
         return hashlib.sha256(hashlib.sha256(header).digest()).digest()
     
     def mine_range(self, block_header: bytes, target: int, nonce_start: int, nonce_range: int) -> Tuple[int, int, bytes]:
@@ -134,91 +96,16 @@ class HashUnit:
         return self.total_hashes, blocks_found, best_nonce or -1, best_hash or b'\xff' * 32
 
 class MiningCore:
-    """Mining core that manages multiple hash units with electron-speed synchronization"""
-    def __init__(self, core_id: int, num_units: int = 18, position: Tuple[float, float] = (0.0, 0.0)):
+    """Mining core that manages multiple hash units"""
+    def __init__(self, core_id: int, num_units: int = 8):
         self.core_id = core_id
         self.units = [HashUnit(i) for i in range(num_units)]
         self.total_hashes = 0
         self.blocks_found = 0
         
-        # Physical positioning for electron velocity calculations
-        self.position = position  # (x, y) position on silicon die
-        self.unit_spacing = 14e-9  # 14nm spacing between units
-        
-        # Electron synchronization parameters
-        self.switching_frequency = 8.92e85  # Base switching frequency in Hz
-        self.phase_alignment = 0.0  # Current phase alignment with other cores
-        self.quantum_state = 0  # Quantum state for entanglement
-        self.sync_interval = 1e-15  # Synchronization interval in seconds (femtosecond)
-        self.last_sync = time.time()
-        self.electron_sync_lock = threading.Lock()  # Lock for electron state synchronization
-        
-        # Electron velocity scaling
-        self.base_drift_velocity = 1.96e7  # Base electron drift velocity in m/s
-        self.temperature = 298.0  # Kelvin
-        self.thermal_voltage = 0.026  # Thermal voltage at room temperature (V)
-        
-        # Position units in a grid pattern
-        for i, unit in enumerate(self.units):
-            x = (i % 4) * self.unit_spacing
-            y = (i // 4) * self.unit_spacing
-            unit.position = (x, y)
-        
-    def calculate_electron_velocity(self, distance: float, electric_field: float = 1e5) -> float:
-        """Calculate electron drift velocity based on distance and conditions"""
-        # Boltzmann constant
-        k_B = 1.380649e-23
-        # Electron charge
-        q = 1.602176634e-19
-        
-        # Temperature effects on mobility
-        mobility = 1400 * (300 / self.temperature) ** 2.2  # cm²/(V⋅s)
-        mobility *= 1e-4  # Convert to m²/(V⋅s)
-        
-        # Calculate velocity using advanced drift model
-        thermal_energy = k_B * self.temperature
-        scattering_length = mobility * thermal_energy / q
-        
-        # Velocity saturation effects
-        saturation_velocity = 1e5  # m/s in silicon
-        field_velocity = mobility * electric_field
-        
-        # Calculate actual drift velocity with distance consideration
-        drift_velocity = ((field_velocity * saturation_velocity) / 
-                         (field_velocity + saturation_velocity))
-        
-        # Scale by distance (closer = faster due to stronger coupling)
-        scaling_factor = 1.0 / (1.0 + distance / scattering_length)
-        return drift_velocity * scaling_factor
-    
-    def synchronize_electron_states(self, other_cores: list) -> None:
-        """Synchronize electron states between cores using quantum entanglement"""
-        with self.electron_sync_lock:
-            # Calculate phase difference with other cores
-            total_phase = sum(core.phase_alignment for core in other_cores)
-            avg_phase = total_phase / len(other_cores) if other_cores else 0
-            
-            # Adjust switching frequency based on phase difference
-            phase_error = avg_phase - self.phase_alignment
-            adjustment = phase_error * 1e12  # Picosecond adjustment
-            self.switching_frequency += adjustment
-            
-            # Update quantum state based on entanglement
-            quantum_states = [core.quantum_state for core in other_cores]
-            # Use quantum superposition of states
-            self.quantum_state = sum(quantum_states) / (len(quantum_states) + 1)
-            
-            # Align electron drift between cores
-            current_time = time.time()
-            if current_time - self.last_sync >= self.sync_interval:
-                # Perform femtosecond-scale synchronization
-                for unit in self.units:
-                    unit.switching_frequency = self.switching_frequency
-                self.last_sync = current_time
-    
     def mine_parallel(self, block_header: bytes, target: int, base_nonce: int) -> Dict:
-        """Mine in parallel across all units with electron-speed synchronization"""
-        nonces_per_unit = 981870  # Each unit processes 1000 nonces per round
+        """Mine in parallel across all units"""
+        nonces_per_unit = 3981870  # Each unit processes this many nonces per round
         results = []
         
         for i, unit in enumerate(self.units):
@@ -245,70 +132,9 @@ class MiningCore:
             'unit_results': results
         }
 
-@dataclass
-class QuantumWorkPacket:
-    """Work packet for quantum channel distribution"""
-    block_header: bytes
-    target: int
-    nonce_range: Tuple[int, int]
-    source_core: int
-    priority: float = 1.0
-    entanglement_state: Dict = None
-
-class QuantumChannel:
-    """Quantum channel for electron-speed work distribution"""
-    def __init__(self):
-        self.quantum_state = np.zeros(256, dtype=np.complex128)  # Quantum state vector
-        self.entangled_cores: List[int] = []
-        self.work_queue: List[QuantumWorkPacket] = []
-        self.coherence_time = 1e-12  # Coherence time in seconds
-        self.last_decoherence = time.time()
-        self.channel_lock = threading.Lock()
-    
-    def distribute_work(self, work: QuantumWorkPacket) -> None:
-        """Distribute work through quantum channel"""
-        with self.channel_lock:
-            # Update quantum state
-            current_time = time.time()
-            if current_time - self.last_decoherence > self.coherence_time:
-                # Perform quantum state refresh
-                self.quantum_state = np.random.normal(0, 1, 256) + 1j * np.random.normal(0, 1, 256)
-                self.quantum_state /= np.linalg.norm(self.quantum_state)
-                self.last_decoherence = current_time
-            
-            # Encode work packet into quantum state
-            packet_hash = hash((work.block_header, work.nonce_range[0], work.nonce_range[1]))
-            phase = 2 * np.pi * (packet_hash % 256) / 256
-            self.quantum_state *= np.exp(1j * phase)
-            
-            self.work_queue.append(work)
-    
-    def receive_work(self, core_id: int) -> Optional[QuantumWorkPacket]:
-        """Receive work from quantum channel"""
-        with self.channel_lock:
-            if not self.work_queue:
-                return None
-            
-            # Find work packet with highest priority for this core
-            best_packet = None
-            best_priority = -1
-            
-            for packet in self.work_queue:
-                # Calculate priority based on quantum state alignment
-                state_overlap = abs(np.sum(self.quantum_state)) / 256
-                priority = packet.priority * state_overlap
-                
-                if priority > best_priority:
-                    best_packet = packet
-                    best_priority = priority
-            
-            if best_packet:
-                self.work_queue.remove(best_packet)
-            return best_packet
-
 class ParallelMiner:
-    """Top-level parallel miner managing multiple cores with quantum channels"""
-    def __init__(self, num_cores: int = 7, wallet_address: str = None, use_testnet: bool = False):
+    """Top-level parallel miner managing multiple cores"""
+    def __init__(self, num_cores: int = 7, wallet_address: str = None):
         self.cores = [MiningCore(i) for i in range(num_cores)]
         self.start_time = None
         self.mining = False
@@ -321,9 +147,8 @@ class ParallelMiner:
         self.hashes_last_update = 0
         self.last_hashrate_update = time.time()
         self.current_hashrate = 0
-        self.network = NetworkIntegration(wallet_address, use_testnet)
-        self.is_testnet = use_testnet  # Store testnet mode
-        self.network.connect()  # Connect to testnet
+        self.network = NetworkIntegration(wallet_address)
+        self.network.connect()  # Connect to network
         
         # Calculate initial network difficulty
         template = self.network.get_block_template()
@@ -356,7 +181,7 @@ class ParallelMiner:
             logging.info(f"Network target: {hex(target)}")
             
         except Exception as e:
-            logging.warning(f"Failed to get network template: {e}, using test values")
+            logging.warning(f"Failed to get network template: {e}, using fallback values")
             # Fallback to test values
             version = 2
             prev_block = b'\x00' * 32
@@ -379,10 +204,10 @@ class ParallelMiner:
         self.last_template_update = time.time()
         block_header, target = self._setup_block_header()
         
-        logging.info("Starting parallel mining on Bitcoin testnet...")
+        logging.info("Starting parallel Bitcoin mining...")
         logging.info(f"Cores: {len(self.cores)}")
         logging.info(f"Units per core: {len(self.cores[0].units)}")
-        logging.info("Connected to testnet, getting real block templates")
+        logging.info("Connected to network, getting block templates")
         
         with ThreadPoolExecutor(max_workers=len(self.cores)) as executor:
             base_nonce = 0
@@ -390,11 +215,10 @@ class ParallelMiner:
             while self.mining and (duration is None or time.time() - self.start_time < duration):
                 # Update block template every 30 seconds
                 current_time = time.time()
-                if current_time - self.last_template_update > 600:  # Update every 10 minutes instead of 30 seconds
+                if current_time - self.last_template_update > 600:  # Update every 10 minutes
                     block_header, target = self._setup_block_header()
                     self.last_template_update = current_time
-                    base_nonce = 0  # Reset nonce when template updates
-                    logging.info("Updated block template from network")
+                    logging.info("Updated block template from network - continuing with current nonce range")
                 
                 futures = []
                 
@@ -428,52 +252,93 @@ class ParallelMiner:
                     # Log progress for this core
                     elapsed = time.time() - self.start_time
                     
-                    logging.info(f"Core {core_id}: {self.total_hashes:,} hashes, {self.blocks_found} blocks, {self.current_hashrate/1000:.2f} KH/s")                    # Check unit results
+                    logging.info(f"Core {core_id}: {self.total_hashes:,} hashes, {self.blocks_found} blocks, {self.current_hashrate/1000:.2f} KH/s")
+                    
+                    # Check unit results for blocks
                     for unit in result['unit_results']:
                         if unit['nonce'] != -1:
                             # Found a block or better hash
                             current_hash_int = int.from_bytes(unit['hash'], byteorder='little')
                             
-            # Track best hash for stats
-            if not self.best_hash or current_hash_int < int.from_bytes(self.best_hash, byteorder='little'):
-                self.best_hash = unit['hash']
-                self.best_nonce = unit['nonce']
-                
-                # Only submit if hash is below network target
-                template = self.network.get_block_template()
-                logging.info(f"Comparing hash {hex(current_hash_int)} with network target {hex(template['target'])}")
-                if current_hash_int < template['target']:
-                    logging.info(f"Found valid block! Hash is below network target")
-                    if self.network.submit_block(block_header[:-4] + struct.pack('<I', unit['nonce']), unit['nonce']):
-                        logging.info(f"Successfully submitted block to network!")
-                        logging.info(f"Block hash: {unit['hash'].hex()}")
-                        logging.info(f"Nonce: {unit['nonce']}")
-                else:
-                    hash_hex = hex(current_hash_int)[2:].zfill(64)
-                    target_hex = hex(template['target'])[2:].zfill(64)
-                    
-                    # Calculate difficulty (max_target / hash)
-                    max_target = 0xFFFF * 2**(8*(0x1d - 3))
-                    hash_difficulty = float(max_target) / float(current_hash_int)
-                    
-                    # Calculate percentage based on leading zeros and next byte
-                    leading_zeros = len(hash_hex) - len(hash_hex.lstrip('0'))
-                    target_zeros = len(target_hex) - len(target_hex.lstrip('0'))
-                    
-                    # Progress based on zeros and first non-zero byte
-                    first_byte_progress = (255 - int(hash_hex[leading_zeros:leading_zeros+2], 16)) / 255.0
-                    progress_percent = (leading_zeros / float(target_zeros) + first_byte_progress / target_zeros) * 100
-                    
-                    # Update best hash difficulty if this is higher
-                    self.best_hash_difficulty = max(self.best_hash_difficulty, hash_difficulty)
-                    
-                    logging.info(f"New best hash found!")
-                    logging.info(f"Best hash: {hash_hex}")
-                    logging.info(f"Need target: {target_hex}")
-                    logging.info(f"Progress to target: {progress_percent:.8f}%")
-                    logging.info(f"Hash difficulty: {hash_difficulty:.8f} (higher is better)")
+                            # Track best hash
+                            if not self.best_hash or current_hash_int < int.from_bytes(self.best_hash, byteorder='little'):
+                                self.best_hash = unit['hash']
+                                self.best_nonce = unit['nonce']
+                                
+                                # Compare with current target and submit if valid
+                                if current_hash_int < target:  # Use current target, not new template target
+                                    logging.info(f"Found valid block! Hash is below target")
+                                    logging.info(f"Core {core_id}, Unit {unit['unit_id']} found the block")
+                                    logging.info(f"Block details:")
+                                    logging.info(f"  Hash: {unit['hash'].hex()}")
+                                    logging.info(f"  Nonce: {unit['nonce']}")
+                                    logging.info(f"  Timestamp: {time.strftime('%Y-%m-%d %H:%M:%S')}")
+                                    
+                                    # Prepare block data
+                                    block_data = block_header[:-4] + struct.pack('<I', unit['nonce'])
+                                    
+                                    # Log submission attempt details
+                                    logging.info("Block submission details:")
+                                    logging.info(f"Block header length: {len(block_header)}")
+                                    logging.info(f"Final block data length: {len(block_data)}")
+                                    logging.info(f"Target used: {hex(target)}")
+                                    logging.info(f"Hash achieved: {hex(current_hash_int)}")
+                                    
+                                    try:
+                                        logging.info("🔄 Attempting to submit block to network...")
+                                        if self.network.submit_block(block_data, unit['nonce']):
+                                            logging.info("🎉 Block successfully submitted to network! 🎉")
+                                            logging.info(f"Block hash: {unit['hash'].hex()}")
+                                            logging.info(f"Nonce: {unit['nonce']}")
+                                            logging.info(f"Difficulty: {self.network_difficulty:,.2f}")
+                                            
+                                            # Extra verification
+                                            verify_hash = self.double_sha256(block_data)
+                                            verify_int = int.from_bytes(verify_hash, 'little')
+                                            logging.info(f"Verification hash: {hex(verify_int)}")
+                                            logging.info(f"Matches original: {verify_int == current_hash_int}")
+                                        else:
+                                            logging.error("❌ Block submission failed")
+                                            logging.error("Detailed diagnostics:")
+                                            logging.error(f"- Block header hex: {block_header.hex()}")
+                                            logging.error(f"- Final nonce used: {unit['nonce']}")
+                                            logging.error(f"- Hash achieved: {unit['hash'].hex()}")
+                                            logging.error("Common failure reasons:")
+                                            logging.error("- Network connectivity issues")
+                                            logging.error("- Block became stale")
+                                            logging.error("- Invalid block structure")
+                                            logging.error("- Target difficulty mismatch")
+                                    except Exception as e:
+                                        logging.error(f"❌ Exception during block submission: {str(e)}")
+                                        logging.error(f"Block data length: {len(block_data)}")
+                                        logging.error(f"Nonce value: {unit['nonce']}")
+                                        logging.exception("Full exception details:")
+                                else:
+                                    hash_hex = hex(current_hash_int)[2:].zfill(64)
+                                    target_hex = hex(target)[2:].zfill(64)
+                                    
+                                    # Calculate difficulty (max_target / hash)
+                                    max_target = 0xFFFF * 2**(8*(0x1d - 3))
+                                    hash_difficulty = float(max_target) / float(current_hash_int)
+                                    
+                                    # Calculate percentage based on leading zeros
+                                    leading_zeros = len(hash_hex) - len(hash_hex.lstrip('0'))
+                                    target_zeros = len(target_hex) - len(target_hex.lstrip('0'))
+                                    
+                                    # Progress based on zeros and first non-zero byte
+                                    first_byte_progress = (255 - int(hash_hex[leading_zeros:leading_zeros+2], 16)) / 255.0
+                                    progress_percent = (leading_zeros / float(target_zeros) + first_byte_progress / target_zeros) * 100
+                                    
+                                    # Update best hash difficulty if this is higher
+                                    self.best_hash_difficulty = max(self.best_hash_difficulty, hash_difficulty)
+                                    
+                                    logging.info(f"New best hash found!")
+                                    logging.info(f"Best hash: {hash_hex}")
+                                    logging.info(f"Need target: {target_hex}")
+                                    logging.info(f"Progress to target: {progress_percent:.8f}%")
+                                    logging.info(f"Hash difficulty: {hash_difficulty:.8f} (higher is better)")
                 
-                base_nonce += len(self.cores) * 1500
+                base_nonce += len(self.cores) * 1500  # Increment base_nonce within the main loop
                 
         # Log final results
         self.log_final_results(duration)
@@ -503,7 +368,7 @@ class ParallelMiner:
 if __name__ == "__main__":
     miner = ParallelMiner()
     try:
-        miner.start_mining(duration=240)
+        miner.start_mining(duration=500)
     except KeyboardInterrupt:
         miner.mining = False
         logging.info("\nMining stopped by user")