gistfile1.txt

import hashlib
import numpy as np
import pennylane as qml
from concurrent.futures import ThreadPoolExecutor
import datetime
import json
import logging
import nltk
from textblob import TextBlob
from llama_cpp import Llama

logging.basicConfig(level=logging.INFO)
logger = logging.getLogger(__name__)

# Initialize the Llama model
model_path = "/path/to/your/model"
llm = Llama(
    model_path=model_path,
    n_gpu_layers=-1,
    n_ctx=3900,
)

class QuantumCommunicationNode:
    def __init__(self, config):
        try:
            self.node_id = self.generate_node_id(config["node_id"])
            self.dev = qml.device('default.qubit', wires=10)
            self.chunk_size = config.get("chunk_size", 100)
            self.llama_prompts = config.get("llama_prompts", {})
        except Exception as e:
            logger.error(f"Error initializing QuantumCommunicationNode: {e}")
            raise

    def generate_node_id(self, identifier):
        try:
            key_input = f"{identifier}-{datetime.datetime.now().isoformat()}"
            return hashlib.sha256(key_input.encode()).hexdigest()
        except Exception as e:
            logger.error(f"Error generating node ID: {e}")
            raise

    def analyze_sentiment(self, message):
        try:
            analysis = TextBlob(message)
            return (analysis.sentiment.polarity + 1) / 2
        except Exception as e:
            logger.error(f"Error analyzing sentiment: {e}")
            raise

    def quantum_chunk_message(self, message, sentiment):
        try:
            quantum_size_factor = self.quantum_chunk_size(sentiment)
            chunk_length = int(self.chunk_size * quantum_size_factor)
            return [message[i:i + chunk_length] for i in range(0, len(message), chunk_length)]
        except Exception as e:
            logger.error(f"Error creating quantum chunks: {e}")
            raise

    def quantum_chunk_size(self, sentiment):
        try:
            with qml.qnode(self.dev) as circuit:
                qml.RY(sentiment * np.pi, wires=0)
                return qml.expval(qml.PauliZ(0))
        except Exception as e:
            logger.error(f"Error calculating quantum chunk size: {e}")
            raise

    @qml.qnode(self.dev)
    def quantum_entanglement_circuit(self, chunks, sentiment):
        try:
            # Advanced quantum entanglement system based on sentiment
            for i in range(len(chunks)):
                qml.Hadamard(wires=i)
                for j in range(i + 1, len(chunks)):
                    # Adjust entanglement strength based on sentiment
                    entanglement_strength = sentiment ** 2
                    qml.CNOT(wires=[i, j])
                    qml.RY(entanglement_strength * np.pi, wires=i)
                    qml.RY(entanglement_strength * np.pi, wires=j)
            return [qml.expval(qml.PauliZ(i)) for i in range(len(chunks))]
        except Exception as e:
            logger.error(f"Error in quantum entanglement circuit: {e}")
            raise

    def prepare_chunk_state(self, chunk, wire):
        try:
            for char in chunk:
                qml.RY(ord(char) * np.pi / 256, wires=wire)
        except Exception as e:
            logger.error(f"Error preparing chunk state: {e}")
            raise

    def quantum_entangle_message(self, message):
        try:
            sentiment = self.analyze_sentiment(message)
            chunks = self.quantum_chunk_message(message, sentiment)
            quantum_states = self.quantum_entanglement_circuit(chunks, sentiment)
            return quantum_states, chunks
        except Exception as e:
            logger.error(f"Error in quantum entangling message: {e}")
            raise

    def generate_dynamic_prompt(self, message, quantum_states):
        try:
            base_prompt = self.llama_prompts.get("base_prompt", "")
            current_time = datetime.datetime.now().strftime("%Y-%m-%d %H:%M:%S")
            sentiment = self.analyze_sentiment(message)
            tone = "positive" if sentiment > 0.5 else "neutral" if sentiment > 0 else "negative"

            quantum_states_info = ', '.join(f'State{i}: {state}' for i, state in enumerate(quantum_states))
            dynamic_prompt = f"{base_prompt} [Time: {current_time}] [Tone: {tone}] {quantum_states_info} {message[:550]}"
            return dynamic_prompt
        except Exception as e:
            logger.error(f"Error generating dynamic prompt: {e}")
            raise

class QuantumNodeIDGenerator:
    def __init__(self, num_wires=5):
        try:
            self.dev = qml.device('default.qubit', wires=num_wires)
        except Exception as e:
            logger.error(f"Error initializing QuantumNodeIDGenerator: {e}")
            raise

    @qml.qnode(self.dev)
    def quantum_circuit(self, inputs):
        try:
            for i in range(len(inputs)):
                qml.RY(inputs[i], wires=i)
            for i in range(len(inputs) - 1):
                qml.CNOT(wires=[i, i + 1])
            return [qml.expval(qml.PauliZ(i)) for i in range(len(inputs))]
        except Exception as e:
            logger.error(f"Error in quantum circuit: {e}")
            raise

    def generate_name(self, seed):
        try:
            hashed_seed = hashlib.sha256(seed.encode()).hexdigest()
            inputs = np.array([ord(c) for c in hashed_seed[:5]])
            quantum_results = self.quantum_circuit(inputs)
            name = ''.join([chr(int((val + 1) * 128)) for val in quantum_results])
            return name
        except Exception as e:
            logger.error(f"Error generating name: {e}")
            raise

class AdvancedTokenizer:
    def __init__(self):
        try:
            nltk.download('punkt')
            nltk.download('averaged_perceptron_tagger')
        except Exception as e:
            logger.error(f"Error initializing AdvancedTokenizer: {e}")
            raise

    def tokenize(self, message):
        try:
            tokens = nltk.word_tokenize(message)
            return nltk.pos_tag(tokens)
        except Exception as e:
            logger.error(f"Error in tokenization: {e}")
            raise

    def inject_custom_tokens(self, tagged_tokens, quantum_states):
        try:
            custom_tokens = []
            for word, tag in tagged_tokens:
                if tag.startswith('VB'):
                    custom_tokens.append('[action]')
                if 'time' in word.lower():
                    custom_tokens.append('[time]')
                if 'important' in word.lower():
                    custom_tokens.append('[important]')
                custom_tokens.append(word)

            for state in quantum_states:
                entanglement_token = '[entangled]' if state > 0 else '[not_entangled]'
                custom_tokens.append(entanglement_token)

            return custom_tokens
        except Exception as e:
            logger.error(f"Error in custom token injection: {e}")
            raise

class Bot:
    def __init__(self, name, quantum_generator, config):
        try:
            self.name = name
            self.quantum_generator = quantum_generator
            self.tokenizer = AdvancedTokenizer()
            self.node = QuantumCommunicationNode(config[name])
        except Exception as e:
            logger.error(f"Error initializing Bot: {e}")
            raise

    def communicate(self, other_bot):
        try:
            raw_message = f"Node {self.name} to {other_bot.name}: Hello!"
            quantum_states, chunks = self.node.quantum_entangle_message(raw_message)
            processed_message = self.tokenizer.tokenize(raw_message)
            entangled_tokens = self.tokenizer.inject_custom_tokens(processed_message, quantum_states)
            dynamic_prompt = self.node.generate_dynamic_prompt(' '.join(entangled_tokens), quantum_states)
            logger.info(f"Sending from {self.name} to {other_bot.name}: {dynamic_prompt}")
        except Exception as e:
            logger.error(f"Error in bot communication: {e}")

def main():
    try:
        with open('config.json', 'r') as file:
            config = json.load(file)

        quantum_generator = QuantumNodeIDGenerator()
        bot1 = Bot("Bot1", quantum_generator, config)
        bot2 = Bot("Bot2", quantum_generator, config)

        max_workers = config.get("max_workers", 2)

        with ThreadPoolExecutor(max_workers=max_workers) as executor:
            future1 = executor.submit(bot1.communicate, bot2)
            future2 = executor.submit(bot2.communicate, bot1)

            future1.result()
            future2.result()

    except Exception as e:
        logger.error(f"Error in main execution: {e}")

if __name__ == "__main__":
    main()