Python program that calculates TFP

Source Code: Python Framework

# ========================================== # TFP HARDWARE DECODER v43.0 # ========================================== import numpy as np # Core Axioms H, K, F = 132.0, 12.0, 20.0 PHI = (1 + 5**0.5) / 2 # Derived Efficiency (Spherical Resolution) V = (5.0/12.0) * (3.0 + np.sqrt(5.0)) A = 5.0 * np.sqrt(3.0) PSI_SPH = (np.pi**(1/3) * (6*V)**(2/3)) / A def calculate_cosmology(): # Dark Energy expansion driven by orphaned bits C_BITS = H * (1.0 - PSI_SPH) Omega_L = (C_BITS/H) * (K/PSI_SPH) return Omega_L def calculate_alpha_inv(): # Admin Overhead + Geometric Inversion admin = (H * (K - 1)) / (K * PSI_SPH) return admin + (2 * np.pi) + PHI + (1 / np.pi) # Execution Logic...

Console Output: Substrate Validation

bash — tfp_output — 80x24 UTF-8

=== TFP HARDWARE DECODER v42.0 ===
PSI_SPH: 0.939326 | C_BITS: 8.0090
--------------------------------------------------
Name        Pred       Actual      Accuracy
Electron    0.510998   0.511       99.999%
Proton      938.272    938.270     99.999%
Neutron     940.635    939.560     99.885%
Muon        103.850    105.660     98.287%
Tau         1716.076   1776.800    96.582%

==================================================
Ω_Λ (Dark Energy Driver): 0.7751
α⁻¹ (Fine Structure):     137.0353 (Target: 137.036)
Bell Scaling (Tau):       1.764

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