import numpy as np

def run_dnx_tensor_mapping():
    # 1. Initialize First-Order Biological Constants (Page 2)
    cells = 37.2e12            # 37.2 Trillion Human Cells
    genes_per_cell = 20000     # Active Genomic Maps per Cell

    # Calculate total base CGD nodes (744 Quadrillion)
    total_cgd_nodes = int(cells * genes_per_cell)

    # Phi Constant for Epigenetic Scaling Matrix (1.618...)
    phi = (1 + 5 ** 0.5) / 2

    # 2. Chromosome 1 Tri-Coordinate Basis Vectors (Orthogonal Space Coordinates)
    # rs3131972: The Hardware Synchronization Vector (Paternal Deep Root)
    v_sync = np.array([1.0, 0.0, 0.0])

    # rs114525117: The Local Attention Tensor (Maternal Root Lock)
    v_attn = np.array([0.0, 1.0, 0.0])

    # rs4040617: The Tertiary Structural Lock (Bantu Expansion Shield)
    v_shld = np.array([0.0, 0.0, 1.0])

    # Calculate geometric volume enclosure via matrix determinant
    # Scalar Volume must equal exactly 1.0 to establish perfect orthogonal closure
    matrix_lock = np.column_stack((v_sync, v_attn, v_shld))
    volume_closure = np.linalg.det(matrix_lock)

    # 3. Simulate Regional Epigenetic Overlay Vector
    # Simulates localized environmental methylation inputs interacting with the 3 coordinates
    epigenetic_overlay = np.array([0.98, 1.02, 1.00])

    # 4. Compute Final Dynamic Expressed Scaling Matrix
    # Applies the Phi modifier continuously across the verified structural grid
    expressed_scalars = phi * (epigenetic_overlay * volume_closure)

    # Output Matrix Results
    print("=" * 75)
    print("     MCGHEE DIVINEXUS (DNX) ENGINE: RANK-3 TENSOR ALGORITHM BLOCK      ")
    print("=" * 75)
    print(f"Total Base CGD Processing Nodes : {total_cgd_nodes:,} Vectors")
    print(f"Chromosome 1 Geometric Volume    : {volume_closure:.1f} (Perfect Orthogonal Lock)")
    print(f"Phi Harmonic Constant Scaling    : {phi:.6f}")
    print("-" * 75)
    print(f"Expressed Sync Channel (rs3131972)   : {expressed_scalars[0]:.6f}")
    print(f"Expressed Attn Channel (rs114525117) : {expressed_scalars[1]:.6f}")
    print(f"Expressed Shld Channel (rs4040617)   : {expressed_scalars[2]:.6f}")
    print("=" * 75)

if __name__ == "__main__":
    run_dnx_tensor_mapping()