The Stone Cube Framework is structured as a hierarchical relational system designed to organize, program, and analyze multi-dimensional empirical data without relying on complex symbolic equations. At its highest level, the framework is organized into six complete perspectives, where each perspective contains twenty-seven independent nodes arranged in a three-dimensional cubic manifold. Every node within a perspective possesses its own unique address and is defined by three fundamental dimensions: Mass, Time, and Field. The core operational rule of the architecture is Stone's Law, which dictates that multiplying a node's Mass, Time, and Field values together yields its overarching System Value. Because each node across all six perspectives can be programmed independently, the exact same system can be observed, evaluated, and manipulated simultaneously from six completely different structural viewpoints. Furthermore, the framework incorporates a nineteen-position tensor spectrum ranging from negative nine through zero to positive nine. This tensor spectrum, combined with the individual system values, allows for the measurement of structural tension, field distribution, and relationships between nodes, dimensions, and perspectives. Ultimately, the Stone Cube Framework serves as a reproducible reference architecture that maps complex data interactions into an organized, perspective-based node structure. ```python class StoneCubeFramework: def __init__(self, size: int = 3): self.size = size # Initialize the framework structure: 6 Perspectives, 27 Nodes each self.cube = { p_id: {} for p_id in ['Perspective_1', 'Perspective_2', 'Perspective_3', 'Perspective_4', 'Perspective_5', 'Perspective_6'] } def stones_law(self, mass: int, time: int, field: int) -> int: """Calculates the system value S based on Mass, Time, and Field.""" return mass * time * field def program_node(self, perspective_id: str, node_address: str, mass: int, time: int, field: int, tensor_value: int): """Assigns dimension values to a specific node within a perspective and computes its system value.""" system_value = self.stones_law(mass, time, field) self.cube[perspective_id][node_address] = { "dimension_representation": {"mass": mass, "time": time, "field": field}, "node_value": {"system": system_value, "tensor": tensor_value}, } def calculate_tension(self, node_a_system: int, node_b_system: int) -> int: """Measures structural tension between two node system values.""" return abs(node_a_system - node_b_system) # ========================================== # EXECUTION DEMONSTRATION # ========================================== if __name__ == "__main__": # Initialize framework stone_system = StoneCubeFramework(size=3) # Program Node 'Node_1' in Perspective 1 stone_system.program_node( perspective_id="Perspective_1", node_address="Node_1", mass=4, time=3, field=2, tensor_value=5, ) # Program Node 'Node_1' in Perspective 2 with different field dynamics stone_system.program_node( perspective_id="Perspective_2", node_address="Node_1", mass=2, time=4, field=4, tensor_value=-2, ) # Output verification p1_node = stone_system.cube["Perspective_1"]["Node_1"] p2_node = stone_system.cube["Perspective_2"]["Node_1"] print("--- STONE CUBE FRAMEWORK VERIFICATION ---") print(f"Perspective 1, Node 1 System Value (S): {p1_node['node_value']['system']}") print(f"Perspective 2, Node 1 System Value (S): {p2_node['node_value']['system']}") tension = stone_system.calculate_tension( p1_node['node_value']['system'], p2_node['node_value']['system'] ) print(f"Inter-Perspective Node Tension: {tension}") ```