Upload neurosphere.py

neurosphere.py

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+# -*- coding: utf-8 -*-
+"""NeuroSphere
+
+Automatically generated by Colab.
+
+Original file is located at
+    https://colab.research.google.com/drive/1_Teobbyr6W_djbMw3CSWu2mGqk_bNk2T
+"""
+
+import torch
+import numpy as np
+import matplotlib.pyplot as plt
+
+# Parameters for the primary (wealth) signal
+primary_frequency = 8  # Brain signal frequency in Hz (alpha wave for example)
+primary_amplitude = 3  # Amplitude of the signal (wealth intensity)
+phase_shift = np.pi / 6  # Phase shift for simulating wealth dynamics
+time_steps = torch.linspace(0, 4 * np.pi, 1000)  # Time steps for the waveform
+density_factor = 4  # Density factor to simulate the magnetic wealth effect
+
+# Parameters for the secondary (storage) signal
+storage_frequency = 15  # Frequency for the storage signal
+storage_amplitude = 1.5  # Amplitude for the storage signal
+storage_phase_shift = np.pi / 3  # Phase shift for the storage dynamics
+trigger_time = np.pi  # Time when the signal reaches its "destination"
+
+# Function to generate a sine wave
+def generate_waveform(time, frequency, amplitude, phase_shift):
+    return amplitude * torch.sin(frequency * time + phase_shift)
+
+# Function to encode wealth as a dense magnetic waveform
+def encode_magnetic_wealth_waveform(signal, density_factor):
+    return signal * density_factor
+
+# Generate the primary brain signal (dense magnetic wealth signal)
+primary_signal = generate_waveform(time_steps, primary_frequency, primary_amplitude, phase_shift)
+
+# Encode wealth data into the primary signal
+magnetic_wealth_waveform = encode_magnetic_wealth_waveform(primary_signal, density_factor)
+
+# Function to store data with the secondary frequency
+def storage_waveform(time, trigger_time, storage_frequency, storage_amplitude, storage_phase_shift):
+    # Create a secondary waveform that is activated after a certain time (trigger_time)
+    storage_signal = torch.where(
+        time >= trigger_time,  # Condition: time greater than trigger_time
+        generate_waveform(time, storage_frequency, storage_amplitude, storage_phase_shift),
+        torch.zeros_like(time)  # Else, no signal before the trigger
+    )
+    return storage_signal
+
+# Generate the secondary storage signal that activates after the primary signal reaches its destination
+storage_signal = storage_waveform(time_steps, trigger_time, storage_frequency, storage_amplitude, storage_phase_shift)
+
+# Combine the magnetic wealth waveform with the storage signal
+combined_signal = magnetic_wealth_waveform + storage_signal
+
+# Visualize the waveforms
+plt.figure(figsize=(10, 6))
+
+# Plot the primary dense magnetic wealth waveform
+plt.plot(time_steps.numpy(), magnetic_wealth_waveform.numpy(), label="Magnetic Wealth Waveform", color="blue")
+
+# Plot the secondary storage signal
+plt.plot(time_steps.numpy(), storage_signal.numpy(), label="Storage Waveform (Activated)", color="green", linestyle="--")
+
+# Plot the combined signal
+plt.plot(time_steps.numpy(), combined_signal.numpy(), label="Combined Signal", color="red", alpha=0.7)
+
+plt.title("Dense Magnetic Wealth Waveform with Data Storage Signal")
+plt.xlabel("Time")
+plt.ylabel("Signal Amplitude")
+plt.legend()
+plt.grid(True)
+plt.show()