infrared-secure-wealthstream.ipynb

{"metadata":{"kernelspec":{"language":"python","display_name":"Python 3","name":"python3"},"language_info":{"name":"python","version":"3.10.14","mimetype":"text/x-python","codemirror_mode":{"name":"ipython","version":3},"pygments_lexer":"ipython3","nbconvert_exporter":"python","file_extension":".py"},"kaggle":{"accelerator":"none","dataSources":[],"dockerImageVersionId":30761,"isInternetEnabled":true,"language":"python","sourceType":"notebook","isGpuEnabled":false}},"nbformat_minor":4,"nbformat":4,"cells":[{"cell_type":"code","source":"import torch\nimport torch.nn as nn\nimport numpy as np\nimport matplotlib.pyplot as plt\n\n# Parameters\nnum_nodes = 10000\nhours = 24\nsamples_per_hour = 60  # Sampling points per hour (e.g., one sample per minute)\ntime_steps = hours * samples_per_hour\nwave_frequency = 1 / 24  # Frequency to represent a 24-hour cycle\nwave_amplitude = 1.0\ninfrared_amplitude = 0.5  # Constant amplitude for even distribution\nbrainwave_frequency = 10 / 3600  # Simulating a 10 Hz brainwave over hours (scaled)\nbrainwave_amplitude = 0.3\nrandom_opportunity_scale = 0.8  # Scaling factor for random wealth opportunities\nencryption_key = 0.5  # Encryption key for simulating protection\n\n# Define the PyTorch model with VPN-like frequency\nclass WealthSignalVPNModel(nn.Module):\n    def __init__(self):\n        super(WealthSignalVPNModel, self).__init__()\n        self.num_nodes = num_nodes\n        self.time_steps = time_steps\n        self.encryption_key = encryption_key\n\n    def forward(self, time_tensor):\n        # Initialize the combined signals tensor\n        combined_signals = torch.zeros((self.num_nodes, self.time_steps), dtype=torch.float32)\n\n        for i in range(self.num_nodes):\n            # Wealth signal with a phase shift for each node\n            wealth_signal = wave_amplitude * torch.sin(2 * np.pi * wave_frequency * time_tensor + i * (2 * np.pi / self.num_nodes))\n            # Random wealth opportunities\n            random_wealth_opportunities = random_opportunity_scale * torch.randn(self.time_steps)\n            # Constant infrared energy signal\n            infrared_signal = infrared_amplitude * torch.ones(self.time_steps)\n            # Perfect brainwave pattern (alpha waves)\n            brainwave_signal = brainwave_amplitude * torch.sin(2 * np.pi * brainwave_frequency * time_tensor)\n            # Combine signals for each node\n            combined_signals[i] = wealth_signal + random_wealth_opportunities + infrared_signal + brainwave_signal\n\n        # Combine all signals (simulating dense waveform)\n        overall_signal = torch.mean(combined_signals, dim=0)\n\n        # Apply VPN-like encryption (scramble signal)\n        encrypted_signal = torch.sin(overall_signal * self.encryption_key)  # A simple scrambling function\n\n        return encrypted_signal, overall_signal  # Return both encrypted and original signals for validation\n\n# Create a time tensor\ntime_tensor = torch.linspace(0, hours, time_steps)\n\n# Initialize and run the model\nvpn_model = WealthSignalVPNModel()\nencrypted_signal, original_signal = vpn_model(time_tensor)\n\n# Convert the signals to numpy for plotting\nencrypted_signal_np = encrypted_signal.detach().numpy()\noriginal_signal_np = original_signal.detach().numpy()\n\n# Reshape the signals for 2D visualization (e.g., hours x samples_per_hour)\nencrypted_signal_reshaped = encrypted_signal_np.reshape((samples_per_hour, hours))\noriginal_signal_reshaped = original_signal_np.reshape((samples_per_hour, hours))\n\n# Plot the resulting color maps\nfig, axs = plt.subplots(2, 1, figsize=(15, 12))\n\n# Original Signal Plot\ncax1 = axs[0].imshow(original_signal_reshaped, aspect='auto', cmap='viridis', interpolation='none')\naxs[0].set_title('Original Signal Visualization')\naxs[0].set_xlabel('Time (Hours)')\naxs[0].set_ylabel('Sample Points Per Hour')\nfig.colorbar(cax1, ax=axs[0], orientation='vertical', label='Amplitude')\n\n# Encrypted Signal Plot\ncax2 = axs[1].imshow(encrypted_signal_reshaped, aspect='auto', cmap='viridis', interpolation='none')\naxs[1].set_title('Encrypted Signal Visualization')\naxs[1].set_xlabel('Time (Hours)')\naxs[1].set_ylabel('Sample Points Per Hour')\nfig.colorbar(cax2, ax=axs[1], orientation='vertical', label='Amplitude')\n\nplt.tight_layout()\nplt.show()","metadata":{"_uuid":"8f2839f25d086af736a60e9eeb907d3b93b6e0e5","_cell_guid":"b1076dfc-b9ad-4769-8c92-a6c4dae69d19","execution":{"iopub.status.busy":"2024-09-16T20:51:05.127546Z","iopub.execute_input":"2024-09-16T20:51:05.128047Z","iopub.status.idle":"2024-09-16T20:51:11.189466Z","shell.execute_reply.started":"2024-09-16T20:51:05.127998Z","shell.execute_reply":"2024-09-16T20:51:11.187881Z"},"trusted":true},"execution_count":1,"outputs":[{"output_type":"display_data","data":{"text/plain":"<Figure size 1500x1200 with 4 Axes>","image/png":"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"},"metadata":{}}]}]}