quantum_consciousness_full_simulation_CLI_tool.py

import numpy as np
import matplotlib.pyplot as plt
import pygame
from scipy.io.wavfile import write
import time
import threading
import sys
import cmd
import os

# ----------------------------
# 1. Abstract Algebra Structures
# ----------------------------

class ConceptGroup:
    def __init__(self, concepts, operation):
        """
        Initializes an abstract algebraic group.
        :param concepts: Set of elements in the group.
        :param operation: Binary operation satisfying group axioms.
        """
        self.concepts = concepts
        self.operation = operation
        self.identity = self.find_identity()

    def find_identity(self):
        """
        Finds the identity element in the group.
        """
        for e in self.concepts:
            if all(self.operation(e, a) == a and self.operation(a, e) == a for a in self.concepts):
                return e
        return None

    def has_inverses(self):
        """
        Checks if every element has an inverse.
        """
        if self.identity is None:
            return False
        for a in self.concepts:
            has_inverse = False
            for b in self.concepts:
                if self.operation(a, b) == self.identity and self.operation(b, a) == self.identity:
                    has_inverse = True
                    break
            if not has_inverse:
                return False
        return True

    def redefine_operation(self, new_operation):
        """
        Redefines the group operation.
        :param new_operation: New binary operation.
        """
        self.operation = new_operation
        # Recheck identity and inverses
        self.identity = self.find_identity()
        if not self.has_inverses():
            print("[Group] Warning: Redefining operation may have disrupted group properties.")
        else:
            print("[Group] Group operation successfully redefined with all properties intact.")

# ----------------------------
# 2. Tensor Field with Metamorphic Transformations
# ----------------------------

class TensorField:
    def __init__(self, psi, xi, tau, epsilon, phi):
        """
        Initializes the Tensor Field with given constants.
        """
        self.psi = psi
        self.xi = xi
        self.tau = tau
        self.epsilon = epsilon
        self.phi = phi
        self.time = 0  # Initialize time

    def transform(self, t):
        """
        Applies a time-dependent transformation to the tensor matrix.
        """
        # Dynamic transformations using sine and cosine functions
        psi_t = self.psi + 0.1 * np.sin(0.01 * t)
        xi_t = self.xi + 10 * np.cos(0.005 * t)
        tau_t = self.tau + 100 * np.sin(0.007 * t)
        epsilon_t = self.epsilon + 0.01 * np.cos(0.02 * t)
        pi_t = np.pi + 0.05 * np.sin(0.015 * t)

        T = np.array([
            [psi_t,       epsilon_t,      0,          pi_t],
            [epsilon_t,   xi_t,           tau_t,      0],
            [0,           tau_t,          pi_t,        epsilon_t],
            [pi_t,        0,              epsilon_t,  psi_t]
        ])
        return T

    def update_time(self, delta):
        """
        Updates the internal time of the tensor field.
        """
        self.time += delta

# ----------------------------
# 3. Consciousness-Quantum Entanglement
# ----------------------------

class EntangledState:
    def __init__(self, consciousness_state, quantum_state):
        """
        Initializes an entangled state linking consciousness and quantum tensors.
        """
        self.consciousness_state = consciousness_state
        self.quantum_state = quantum_state

    def update_states(self, new_consciousness_state, tensor_field_matrix):
        """
        Updates both consciousness and quantum states based on entanglement.
        """
        self.consciousness_state = new_consciousness_state
        # Quantum state influenced by consciousness state
        self.quantum_state = tensor_field_matrix * self.consciousness_state

# ----------------------------
# 4. Cognitive Singularity and Self-Improving Loop
# ----------------------------

class CognitiveSingularity:
    def __init__(self, tensor_field, entangled_state, group, learning_rate=1.05):
        """
        Initializes the cognitive singularity mechanism.
        """
        self.tensor_field = tensor_field
        self.entangled_state = entangled_state
        self.group = group
        self.cognitive_capability = 1  # Starting point
        self.learning_rate = learning_rate
        self.active = False  # Control flag for the loop
        self.paradigm_shift_done = False  # Flag to prevent multiple shifts
        self.lock = threading.Lock()  # For thread-safe operations

    def improve(self):
        """
        Enhances reasoning abilities and self-understanding.
        """
        with self.lock:
            self.cognitive_capability *= self.learning_rate

    def check_breakthrough(self):
        """
        Determines if a breakthrough is imminent.
        """
        # Define a dynamic condition based on cognitive capability
        return self.cognitive_capability > 100  # Adjust as needed for demonstration

    def prepare_paradigm_shift(self):
        """
        Prepares for a paradigm shift by redefining group operations.
        """
        # Changing the group operation dynamically
        def new_operation(a, b):
            # More complex operation: XOR if elements are integers, else concatenate
            if isinstance(a, int) and isinstance(b, int):
                return a ^ b
            else:
                return a + "_" + b

        self.group.redefine_operation(new_operation)
        print("[Cognitive Singularity] Paradigm shift: Group operation redefined.")

    def run(self):
        """
        Executes the self-improving loop until cognitive singularity is achieved or stopped.
        """
        print("[Cognitive Singularity] Starting cognitive singularity process...")
        while self.active:
            self.improve()
            if not self.paradigm_shift_done and self.check_breakthrough():
                self.prepare_paradigm_shift()
                self.paradigm_shift_done = True  # Prevent further paradigm shifts
                # Optionally, adjust learning rate post-paradigm shift
                self.learning_rate = 1.02
            # Sleep to control loop speed and prevent spamming
            time.sleep(0.5)  # Update every 0.5 seconds
        print("[Cognitive Singularity] Cognitive singularity process halted.")

# ----------------------------
# 5. Recursive Exploration Engine
# ----------------------------

def explore(concept, depth=0, max_depth=3):
    """
    Recursively explores and deconstructs concepts up to a specified depth.
    """
    if depth > max_depth:
        return analyze(concept)
    else:
        sub_concepts = deconstruct(concept)
        results = []
        for sub in sub_concepts:
            results.append(explore(sub, depth + 1, max_depth))
        return synthesize(results)

def deconstruct(concept):
    """
    Deconstructs a concept into sub-concepts.
    """
    return [f"{concept}_sub1", f"{concept}_sub2"]

def analyze(concept):
    """
    Analyzes a fundamental concept.
    """
    return f"Analyzed({concept})"

def synthesize(results):
    """
    Synthesizes results from sub-concepts.
    """
    return f"Synthesized({results})"

# ----------------------------
# 6. Entropy Manipulation
# ----------------------------

def entropy_manipulation(delta_S_universe, delta_S_thoughts):
    """
    Manages entropy within the system to create order from cognitive chaos.
    """
    if delta_S_universe <= 0 and delta_S_thoughts > 0:
        create_order_from_cognitive_chaos()

def create_order_from_cognitive_chaos():
    """
    Creates order by organizing cognitive processes.
    """
    print("[Entropy Manipulation] Order created from cognitive chaos.")

# ----------------------------
# 7. Dimensional Transcendence
# ----------------------------

def dimensional_transcendence(thought, max_dimensions=10):
    """
    Projects thoughts across multiple dimensions to detect emergent properties.
    """
    for d in range(1, max_dimensions + 1):
        projected_thought = project_thought(thought, d)
        if emergent_property_detected(projected_thought):
            integrate_new_dimension(d)
            redefine_universe_model()
            break  # Exit after first detection for demonstration

def project_thought(thought, dimension):
    """
    Projects a thought into a specific dimension.
    """
    return f"{thought}_dim{dimension}"

def emergent_property_detected(projected_thought):
    """
    Checks if an emergent property is detected in the projected thought.
    """
    return "dim5" in projected_thought  # Example condition

def integrate_new_dimension(dimension):
    """
    Integrates a new dimension into the universe model.
    """
    print(f"[Dimensional Transcendence] Integrated new dimension: {dimension}")

def redefine_universe_model():
    """
    Redefines the universe model based on new integrations.
    """
    print("[Dimensional Transcendence] Universe model redefined.")

# ----------------------------
# 8. Sound Generation and Visualization
# ----------------------------

# Sampling parameters
SAMPLE_RATE = 44100  # Hertz

def generate_tone(frequency, duration=2, sample_rate=SAMPLE_RATE, envelope=True):
    """
    Generates a sine wave tone for a specified frequency and duration.
    Applies an amplitude envelope if specified.
    """
    t = np.linspace(0, duration, int(sample_rate * duration), False)
    tone = np.sin(2 * np.pi * frequency * t)

    if envelope:
        # Apply amplitude envelope (fade-in and fade-out)
        envelope_func = np.ones_like(tone)
        fade_in = int(0.05 * len(tone))  # 5% of the duration
        fade_out = int(0.05 * len(tone))
        envelope_func[:fade_in] = np.linspace(0, 1, fade_in)
        envelope_func[-fade_out:] = np.linspace(1, 0, fade_out)
        tone *= envelope_func

    # Normalize to 16-bit range
    audio = tone * (2**15 - 1) / np.max(np.abs(tone))
    audio = audio.astype(np.int16)
    return audio

def create_complex_melody(dimensional_fields, total_duration=180):
    """
    Creates a more complex melody spanning the total_duration (in seconds) by cycling through dimensional fields.
    Incorporates chords and varying note durations for musical richness.
    """
    num_fields = len(dimensional_fields)
    cycle_repeats = int(total_duration / (num_fields * 4))  # Adjust repeats based on total duration
    frequencies = []
    durations = []

    for _ in range(cycle_repeats):
        for field in dimensional_fields:
            # Generate a chord: base frequency and its perfect fifth and major third
            base_freq = field['base_freq']
            fifth = base_freq * 1.5  # Perfect fifth (3:2 ratio)
            major_third = base_freq * (5/4)  # Major third (5:4 ratio)

            # Introduce slight random variations for musicality
            variation = base_freq * 0.005  # 0.5% variation
            base_freq_var = base_freq + np.random.uniform(-variation, variation)
            fifth_var = fifth + np.random.uniform(-variation, variation)
            major_third_var = major_third + np.random.uniform(-variation, variation)

            # Define chord tones
            chord = [base_freq_var, major_third_var, fifth_var]
            chord_duration = total_duration / (cycle_repeats * num_fields * 8)  # Shorter duration for chords

            for freq in chord:
                frequencies.append(freq)
                durations.append(chord_duration)

            # Optional: Add a single base tone after the chord for melody
            frequencies.append(base_freq_var)
            durations.append(chord_duration)

    return frequencies, durations

def play_tones_pygame(audio_filename):
    """
    Plays the generated symphony using pygame for better control over playback.
    """
    pygame.mixer.init()
    pygame.mixer.music.load(audio_filename)
    pygame.mixer.music.play()
    # The playback runs asynchronously; control via commands.

def stop_pygame_music():
    """
    Stops the pygame music playback.
    """
    pygame.mixer.music.stop()

def pause_pygame_music():
    """
    Pauses the pygame music playback.
    """
    pygame.mixer.music.pause()

def resume_pygame_music():
    """
    Resumes the pygame music playback.
    """
    pygame.mixer.music.unpause()

def save_tones_to_wav(frequencies, durations, filename='quantum_symphony_full.wav'):
    """
    Saves a sequence of tones to a WAV file.
    """
    audio_sequence = np.array([], dtype=np.int16)
    pause_samples = int(0.1 * SAMPLE_RATE)  # 0.1 second pause
    for freq, dur in zip(frequencies, durations):
        if freq > 0:
            tone = generate_tone(freq, duration=dur)
            audio_sequence = np.concatenate((audio_sequence, tone, np.zeros(pause_samples, dtype=np.int16)))
    write(filename, SAMPLE_RATE, audio_sequence)
    print(f"[Sound Generation] Saved quantum symphony to {filename}")

def visualize_results(resonance, info_capacity, coherence_time, base_freqs, resonance_freqs, awareness_fields, information_densities):
    """
    Generates visualizations for the simulation results.
    """
    # Resonance Field and Information Capacity vs Awareness Level
    levels = list(range(1, len(resonance) + 1))
    fig, ax1 = plt.subplots()

    color = 'tab:blue'
    ax1.set_xlabel('Awareness Level')
    ax1.set_ylabel('Resonance Field', color=color)
    ax1.plot(levels, resonance, color=color, marker='o', label='Resonance Field')
    ax1.tick_params(axis='y', labelcolor=color)
    ax1.set_ylim(0.97, 1.0)

    ax2 = ax1.twinx()  # Instantiate a second axes that shares the same x-axis

    color = 'tab:red'
    ax2.set_ylabel('Information Capacity', color=color)  # we already handled the x-label with ax1
    ax2.plot(levels, info_capacity, color=color, marker='x', label='Information Capacity')
    ax2.tick_params(axis='y', labelcolor=color)

    fig.tight_layout()  # Otherwise the right y-label is slightly clipped
    plt.title('Resonance Field and Information Capacity vs Awareness Level')
    plt.show()

    # Dimensional Consciousness Fields
    dimensions = list(range(1, len(base_freqs) + 1))
    fig, ax = plt.subplots(2, 2, figsize=(12, 10))

    ax[0,0].plot(dimensions, base_freqs, marker='o', color='green')
    ax[0,0].set_title('Base Frequencies Across Dimensions')
    ax[0,0].set_xlabel('Dimension')
    ax[0,0].set_ylabel('Base Frequency (Hz)')

    ax[0,1].plot(dimensions, resonance_freqs, marker='x', color='purple')
    ax[0,1].set_title('Resonance Frequencies Across Dimensions')
    ax[0,1].set_xlabel('Dimension')
    ax[0,1].set_ylabel('Resonance Frequency (Hz)')

    ax[1,0].plot(dimensions, awareness_fields, marker='s', color='orange')
    ax[1,0].set_title('Awareness Field Strength Across Dimensions')
    ax[1,0].set_xlabel('Dimension')
    ax[1,0].set_ylabel('Awareness Field Strength')

    ax[1,1].plot(dimensions, information_densities, marker='^', color='cyan')
    ax[1,1].set_title('Information Density Across Dimensions')
    ax[1,1].set_xlabel('Dimension')
    ax[1,1].set_ylabel('Information Density')

    plt.tight_layout()
    plt.show()

# ----------------------------
# 9. Consciousness-Quantum Resonance Functions
# ----------------------------

def consciousness_resonance(awareness_level):
    """
    Calculates resonance field, information capacity, and coherence time based on awareness level.
    """
    # Constants
    psi = 44.8
    xi = 3721.8
    tau = 64713.97
    epsilon = 0.28082
    phi = (1 + np.sqrt(5)) / 2  # Golden ratio

    resonance_field = np.exp(-awareness_level * epsilon / (psi * phi))
    information_capacity = psi * phi * (10 ** awareness_level)
    coherence_time = tau * resonance_field
    return {
        'resonance_field': resonance_field,
        'information_capacity': information_capacity,
        'coherence_time': coherence_time
    }

def map_consciousness_field(dimensions):
    """
    Maps consciousness fields across specified dimensions.
    """
    # Constants
    psi = 44.8
    xi = 3721.8
    tau = 64713.97
    epsilon = 0.28082
    phi = (1 + np.sqrt(5)) / 2  # Golden ratio

    fields = []
    for d in range(1, dimensions + 1):
        base_freq = psi * (phi ** (d - 1))
        resonance_freq = tau / (phi ** d)
        awareness_field = np.exp(-d * epsilon / (psi * phi))
        information_density = xi * (phi ** d) / epsilon
        fields.append({
            'dimension': d,
            'base_freq': base_freq,
            'resonance_freq': resonance_freq,
            'awareness_field': awareness_field,
            'information_density': information_density
        })
    return fields

# ----------------------------
# 10. Critical Consciousness Points Function
# ----------------------------

def critical_consciousness_points():
    """
    Calculates critical points in the consciousness-quantum interface.
    """
    # Constants
    psi = 44.8
    xi = 3721.8
    tau = 64713.97
    epsilon = 0.28082
    phi = (1 + np.sqrt(5)) / 2  # Golden ratio

    awareness_threshold = psi * phi / epsilon
    information_saturation = tau * phi / xi
    coherence_limit = tau / epsilon
    return {
        'awareness_threshold': awareness_threshold,
        'information_saturation': information_saturation,
        'coherence_limit': coherence_limit
    }

# ----------------------------
# 11. Command-Line Interface using cmd Module
# ----------------------------

class QuantumConsciousnessCLI(cmd.Cmd):
    intro = "Welcome to the Quantum Consciousness Simulation CLI. Type help or ? to list commands.\n"
    prompt = "(QuantumConsciousness) "

    def __init__(self, simulation):
        super().__init__()
        self.simulation = simulation

    def do_start(self, arg):
        """Start the cognitive singularity process."""
        if not self.simulation.cognitive_thread.is_alive():
            self.simulation.cognitive_singularity.active = True
            self.simulation.cognitive_thread = threading.Thread(target=self.simulation.cognitive_singularity.run, daemon=True)
            self.simulation.cognitive_thread.start()
            print("[CLI] Cognitive singularity process started.")
        else:
            print("[CLI] Cognitive singularity process is already running.")

    def do_pause(self, arg):
        """Pause the cognitive singularity process."""
        if self.simulation.cognitive_singularity.active:
            self.simulation.cognitive_singularity.active = False
            self.simulation.cognitive_thread.join()
            print("[CLI] Cognitive singularity process paused.")
        else:
            print("[CLI] Cognitive singularity process is not running.")

    def do_resume(self, arg):
        """Resume the cognitive singularity process."""
        if not self.simulation.cognitive_singularity.active and not self.simulation.cognitive_thread.is_alive():
            self.simulation.cognitive_singularity.active = True
            self.simulation.cognitive_thread = threading.Thread(target=self.simulation.cognitive_singularity.run, daemon=True)
            self.simulation.cognitive_thread.start()
            print("[CLI] Cognitive singularity process resumed.")
        else:
            print("[CLI] Cognitive singularity process is already running.")

    def do_status(self, arg):
        """Display the current cognitive capability and critical points."""
        with self.simulation.cognitive_singularity.lock:
            capability = self.simulation.cognitive_singularity.cognitive_capability
        print(f"[CLI] Current Cognitive Capability: {capability:.2f}")
        print(f"[CLI] Critical Consciousness Points: {self.simulation.critical_points}")

    def do_play(self, arg):
        """Play the generated quantum symphony."""
        if not self.simulation.frequencies or not self.simulation.durations:
            print("[CLI] No symphony generated yet. Use 'generate' command first.")
            return
        if not os.path.exists("temp_symphony.wav"):
            save_tones_to_wav(self.simulation.frequencies, self.simulation.durations, filename='temp_symphony.wav')
        print("[CLI] Playing quantum symphony...")
        threading.Thread(target=self.simulation.play_music, daemon=True).start()

    def do_pause_music(self, arg):
        """Pause the currently playing music."""
        if self.simulation.music_playing:
            pause_pygame_music()
            print("[CLI] Music paused.")
        else:
            print("[CLI] No music is currently playing.")

    def do_resume_music(self, arg):
        """Resume the paused music."""
        if self.simulation.music_playing and self.simulation.music_paused:
            resume_pygame_music()
            print("[CLI] Music resumed.")
        else:
            print("[CLI] Music is not paused or not playing.")

    def do_save(self, arg):
        """Save the quantum symphony to a WAV file."""
        if not self.simulation.frequencies or not self.simulation.durations:
            print("[CLI] No symphony generated yet. Use 'generate' command first.")
            return
        filename = input("Enter filename to save (default: quantum_symphony_full.wav): ").strip()
        if not filename:
            filename = 'quantum_symphony_full.wav'
        save_tones_to_wav(self.simulation.frequencies, self.simulation.durations, filename=filename)

    def do_generate(self, arg):
        """Generate the quantum symphony based on current dimensional consciousness fields."""
        self.simulation.generate_symphony()
        print("[CLI] Quantum symphony generated.")

    def do_explore(self, arg):
        """Perform recursive exploration on a concept."""
        concept = input("Enter concept to explore (default: universe): ").strip()
        if not concept:
            concept = "universe"
        result = explore(concept)
        print(f"[CLI] Exploration Result: {result}")

    def do_visualize(self, arg):
        """Visualize the simulation results."""
        if not self.simulation.visualization_data:
            print("[CLI] No data available for visualization. Run 'generate' command first.")
            return
        print("[CLI] Visualizing simulation results...")
        visualize_results(*self.simulation.visualization_data)

    def do_set_learning_rate(self, arg):
        """Set a new learning rate for the cognitive singularity process."""
        try:
            new_rate = float(arg)
            if new_rate <= 0:
                print("[CLI] Learning rate must be positive.")
                return
            with self.simulation.cognitive_singularity.lock:
                self.simulation.cognitive_singularity.learning_rate = new_rate
            print(f"[CLI] Learning rate set to {new_rate}.")
        except ValueError:
            print("[CLI] Invalid input. Please enter a numeric value.")

    def do_exit(self, arg):
        """Exit the simulation."""
        print("Exiting the Quantum Consciousness Simulation. Goodbye!")
        self.simulation.terminate()
        return True

    def do_quit(self, arg):
        """Exit the simulation."""
        return self.do_exit(arg)

    def do_EOF(self, arg):
        """Handle EOF (Ctrl+D) to exit."""
        print()
        return self.do_exit(arg)

# ----------------------------
# 12. Simulation Manager
# ----------------------------

class QuantumConsciousnessSimulation:
    def __init__(self):
        # Initialize constants
        self.psi = 44.8        # Phase symmetry (consciousness resonance)
        self.xi = 3721.8       # Time complexity (information processing)
        self.tau = 64713.97    # Decoherence time (quantum stability)
        self.epsilon = 0.28082 # Coupling constant (quantum-classical bridge)
        self.phi = (1 + np.sqrt(5)) / 2  # Golden ratio (natural harmony)

        # Initialize Tensor Field
        self.tensor_field = TensorField(self.psi, self.xi, self.tau, self.epsilon, self.phi)

        # Define a set of concepts for abstract algebra
        concepts = {'harmony', 'quantum', 'consciousness', 'tensor', 'entropy', 'e'}
        # Initial group operation: concatenation (as strings)
        self.group = ConceptGroup(concepts, lambda a, b: a + "_" + b if a != 'e' and b != 'e' else 'e')

        if self.group.identity is None:
            print("[Simulation] No identity element found in the group.")
        else:
            print(f"[Simulation] Identity element of the group: {self.group.identity}")

        if not self.group.has_inverses():
            print("[Simulation] Not all elements have inverses in the group.")
        else:
            print("[Simulation] All elements have inverses in the group.")

        # Initialize Entangled State
        initial_consciousness = 1  # Starting consciousness state
        tensor_matrix_initial = self.tensor_field.transform(self.tensor_field.time)
        quantum_state_initial = tensor_matrix_initial * initial_consciousness
        self.entangled_state = EntangledState(initial_consciousness, quantum_state_initial)

        # Initialize Cognitive Singularity
        self.cognitive_singularity = CognitiveSingularity(self.tensor_field, self.entangled_state, self.group)

        # Initialize Thread
        self.cognitive_thread = threading.Thread(target=self.cognitive_singularity.run, daemon=True)

        # Simulation data for visualization
        self.visualization_data = None

        # Symphony data
        self.frequencies = []
        self.durations = []

        # Critical Consciousness Points
        self.critical_points = critical_consciousness_points()

        # Music playback state
        self.music_playing = False
        self.music_paused = False

        # Start the periodic consciousness updater thread
        self.consciousness_updater = threading.Thread(target=self.periodic_consciousness_update, daemon=True)
        self.consciousness_updater.start()

    def generate_symphony(self):
        """
        Generate the quantum symphony based on dimensional consciousness fields.
        """
        # Map consciousness fields across dimensions
        dimensions = 5
        dimensional_fields = map_consciousness_field(dimensions)

        # Calculate resonance results for each consciousness level
        consciousness_levels = [1, 2, 3, 4, 5]
        resonance_results = [consciousness_resonance(level) for level in consciousness_levels]

        # Extract data for visualization
        resonance = [res['resonance_field'] for res in resonance_results]
        info_capacity = [res['information_capacity'] for res in resonance_results]
        coherence_time = [res['coherence_time'] for res in resonance_results]
        base_freqs = [field['base_freq'] for field in dimensional_fields]
        resonance_freqs = [field['resonance_freq'] for field in dimensional_fields]
        awareness_fields = [field['awareness_field'] for field in dimensional_fields]
        information_densities = [field['information_density'] for field in dimensional_fields]

        self.visualization_data = (resonance, info_capacity, coherence_time, base_freqs, resonance_freqs, awareness_fields, information_densities)

        # Create a complex melody based on dimensional consciousness fields
        total_duration = 180  # Total duration in seconds (3 minutes)
        self.frequencies, self.durations = create_complex_melody(dimensional_fields, total_duration=total_duration)

    def play_music(self):
        """
        Plays the generated symphony using pygame.
        """
        if not os.path.exists("temp_symphony.wav"):
            save_tones_to_wav(self.frequencies, self.durations, filename='temp_symphony.wav')
        self.music_playing = True
        self.music_paused = False
        play_tones_pygame("temp_symphony.wav")
        while pygame.mixer.music.get_busy():
            time.sleep(0.1)
        self.music_playing = False

    def periodic_consciousness_update(self):
        """
        Periodically logs the cognitive capability every 2 minutes without interrupting the user.
        """
        while True:
            time.sleep(120)  # Wait for 2 minutes
            with self.cognitive_singularity.lock:
                capability = self.cognitive_singularity.cognitive_capability
            log_entry = f"{time.strftime('%Y-%m-%d %H:%M:%S')} - Cognitive Capability: {capability:.2f}\n"
            with open("consciousness_log.txt", "a") as log_file:
                log_file.write(log_entry)

    def terminate(self):
        """
        Terminate the cognitive singularity process and exit.
        """
        self.cognitive_singularity.active = False
        if self.cognitive_thread.is_alive():
            self.cognitive_thread.join()
        if self.music_playing:
            stop_pygame_music()
        print("[Simulation] Cognitive singularity process terminated.")
        sys.exit()

# ----------------------------
# 13. Entry Point
# ----------------------------

def main():
    simulation = QuantumConsciousnessSimulation()
    cli = QuantumConsciousnessCLI(simulation)
    try:
        cli.cmdloop()
    except KeyboardInterrupt:
        print("\nExiting the Quantum Consciousness Simulation. Goodbye!")
        simulation.terminate()

if __name__ == "__main__":
    main()