quantumdreampredicter.py

import tkinter as tk
import win32com.client
import time

class RandomWalkBiasAmplifier:
    def __init__(self, bound):
        self.bound = bound
        self.counter = 0

    def process_bit(self, bit):
        if bit == 1:
            self.counter += 1
        else:
            self.counter -= 1

        if self.counter >= self.bound:
            self.counter = 0
            return 1
        elif self.counter <= -self.bound:
            self.counter = 0
            return 0

        return None

def majority_voting(bits):
    return 1 if bits.count(1) > len(bits) / 2 else 0

class QuantumDreamPrediction:
    def __init__(self):
        self.window = tk.Tk()
        self.window.title("Quantum Dream Prediction")

        self.qng = win32com.client.Dispatch("QWQNG.QNG")

        self.topics = ["beach", "forest", "city", "mountains", "desert", "ocean", "space", "jungle", "cave", "island"]

        self.label = tk.Label(self.window, text="Set your intention to dream about one of the topics below:")
        self.label.pack(pady=20)

        self.topic_listbox = tk.Listbox(self.window, width=50, height=10)
        for topic in self.topics:
            self.topic_listbox.insert(tk.END, topic)
        self.topic_listbox.pack(pady=20)

        self.predict_btn = tk.Button(self.window, text="Predict Dream Topic", command=self.predict_dream_topic)
        self.predict_btn.pack(pady=20)

        self.result_label = tk.Label(self.window, text="")
        self.result_label.pack(pady=20)

        self.window.mainloop()

    def predict_dream_topic(self):
        bits = [int(self.qng.RandUniform > 0.5) for _ in range(1000)]
        majority_result = majority_voting(bits)

        rwba = RandomWalkBiasAmplifier(5)
        rwba_output = [rwba.process_bit(bit) for bit in bits]
        rwba_output = [output for output in rwba_output if output is not None]

        if rwba_output:
            bias = rwba_output[0]
        else:
            bias = majority_result

        index = int(self.qng.RandUniform * len(self.topics))
        index = (index + bias) % len(self.topics)

        predicted_topic = self.topics[index]
        self.result_label.config(text=f"The quantum prediction for your dream topic is: {predicted_topic.capitalize()}")

if __name__ == "__main__":
    QuantumDreamPrediction()