import sys

# Detect hardware platform or fall back to an isolated simulation interface
try:
    from machine import Pin
    _ON_MICROCONTROLLER = True
except ImportError:
    _ON_MICROCONTROLLER = False


class IoTRegisterMap:
    """
    Acts as the production I/O bridge. Maps variables stored in the VM's 
    registry directly to bounded hardware peripheral configurations.
    """
    def __init__(self):
        self._pin_bindings = {}

    def bind_variable_to_pin(self, variable_name: str, gpio_pin_id: int):
        """Binds a variable registry key to a physical GPIO hardware address."""
        if _ON_MICROCONTROLLER:
            self._pin_bindings[str(variable_name)] = Pin(gpio_pin_id, Pin.OUT)
        else:
            self._pin_bindings[str(variable_name)] = f"MOCK_GPIO_{gpio_pin_id}"

    def sync_registry_to_hardware(self, variable_name: str, raw_value) -> bool:
        """Coerces registry variables into binary voltage outputs securely."""
        var_str = str(variable_name)
        if var_str not in self._pin_bindings:
            return False  # Silently ignore unmapped registers for safety

        # Coercion policy: True, non-zero integers, or non-empty structures set Pin to HIGH
        try:
            if raw_value in ["True", True]:
                signal = 1
            elif isinstance(raw_value, int):
                signal = 1 if raw_value > 0 else 0
            else:
                signal = 1 if bool(raw_value) else 0
        except Exception:
            signal = 0  # Fail closed/safe on unexpected payload mutations

        # Dispatch across the physical boundary
        try:
            target = self._pin_bindings[var_str]
            if _ON_MICROCONTROLLER and isinstance(target, Pin):
                target.value(signal)
            else:
                sys.stdout.write(f"[HAL LOG] Registry key '{var_str}' updated {target} -> State: {signal}\n")
            return True
        except Exception as hardware_error:
            sys.stderr.write(f"[CRITICAL HAL FAULT] Peripheral I/O failed: {hardware_error}\n")
            return False


class ProductionStoneCubeEngine:
    """
    A sandboxed, stack-based Virtual Machine implementing the custom ISA.
    Executes raw bytecode arrays while tracking and limiting execution boundaries.
    """
    def __init__(self, io_bridge: IoTRegisterMap, cycle_limit: int = 1000, stack_limit: int = 32):
        self.io = io_bridge
        self.cycle_limit = cycle_limit  # Loop watch-dog threshold
        self.stack_limit = stack_limit  # Memory overflow threshold

        # Custom Virtual Machine Instruction Set Architecture (ISA) Map
        self.OPCODES = {
            10: "LOAD_CONST",    # Pushes next payload element onto execution stack
            20: "STORE_NAME",    # Pops stack and writes value to registry
            30: "LOAD_NAME",     # Loads value from registry to stack
            40: "BINARY_ADD",    # Pops top two elements, adds them, pushes back
            50: "COMPARE_TRUE",  # Assesses truthiness of top element
            60: "JUMP_IF_FALSE", # Modifies IP if top stack element evaluates to False
            70: "LOOP_START",    # Administrative entry loop tracking marker
            80: "CLEAR_STACK",   # Explicitly flushes the data calculation stack
            99: "HALT"           # Safe termination signal
        }

    def execute_bytecode(self, raw_bytecode: list) -> dict:
        """
        Main Sandboxed Execution Engine. Safe-evaluates linear and jump operations,
        guaranteeing memory footprint bounds and state convergence.
        """
        stack = []
        registry = {}
        ip = 0  # Instruction Pointer tracking grid location
        telemetry = {"cycles": 0, "status": "UNKNOWN", "error": None}

        try:
            while ip < len(raw_bytecode):
                telemetry["cycles"] += 1
                if telemetry["cycles"] > self.cycle_limit:
                    raise TimeoutError("Execution Aborted: Maximum clock cycles exceeded (Watchdog trip).")

                opcode = raw_bytecode[ip]
                
                # If opcode isn't an explicit command, parse it implicitly as payload data
                instruction = self.OPCODES.get(opcode, "DATA_VALUE")

                if instruction == "LOAD_CONST":
                    ip += 1
                    if ip >= len(raw_bytecode): raise IndexError("Malformed bytecode: LOAD_CONST EOF.")
                    if len(stack) >= self.stack_limit: raise MemoryError("Stack Overflow alert.")
                    
                    stack.append(raw_bytecode[ip])

                elif instruction == "STORE_NAME":
                    ip += 1
                    if ip >= len(raw_bytecode): raise IndexError("Malformed bytecode: STORE_NAME EOF.")
                    if not stack: raise IndexError("Stack Underflow on STORE_NAME evaluation.")
                    
                    var_key = str(raw_bytecode[ip])
                    val = stack.pop()
                    registry[var_key] = val
                    
                    # Mirror storage events across the IoT register map instantly
                    self.io.sync_registry_to_hardware(var_key, val)

                elif instruction == "LOAD_NAME":
                    ip += 1
                    if ip >= len(raw_bytecode): raise IndexError("Malformed bytecode: LOAD_NAME EOF.")
                    if len(stack) >= self.stack_limit: raise MemoryError("Stack Overflow alert.")
                    
                    var_key = str(raw_bytecode[ip])
                    # Fail-safe protection matching fallback definitions
                    stack.append(registry.get(var_key, "UNDEFINED"))

                elif instruction == "BINARY_ADD":
                    if len(stack) < 2: raise IndexError("Stack Underflow on arithmetic evaluation.")
                    b = stack.pop()
                    a = stack.pop()
                    
                    try:
                        stack.append(int(a) + int(b))
                    except ValueError:
                        stack.append(f"{str(a)}+{str(b)}")

                elif instruction == "COMPARE_TRUE":
                    if not stack: raise IndexError("Stack Underflow during condition assessment.")
                    val = stack.pop()
                    result = (val == "True" or val is True or val == "Active")
                    stack.append(result)

                elif instruction == "JUMP_IF_FALSE":
                    ip += 1
                    if ip >= len(raw_bytecode): raise IndexError("Malformed bytecode: JUMP offset EOF.")
                    if not stack: raise IndexError("Stack Underflow during conditional jump.")
                    
                    target_ip = int(raw_bytecode[ip])
                    condition = stack.pop()
                    
                    if not condition:
                        # Enforce boundary checking on memory jump targets
                        if target_ip < 0 or target_ip >= len(raw_bytecode):
                            raise IndexError(f"Out of bounds pointer jump requested to index {target_ip}.")
                        ip = target_ip
                        continue

                elif instruction == "LOOP_START":
                    pass  # Explicit tracking placeholder for grid consistency

                elif instruction == "CLEAR_STACK":
                    stack.clear()

                elif instruction == "HALT":
                    telemetry["status"] = "SUCCESS"
                    break

                ip += 1

            if telemetry["status"] != "SUCCESS":
                telemetry["status"] = "COMPLETED_WITHOUT_HALT"

        except Exception as runtime_fault:
            telemetry["status"] = "EMERGENCY_HALT"
            telemetry["error"] = str(runtime_fault)
            sys.stderr.write(f"[VM PANIC] Aborting frame: {runtime_fault}\n")
            
            # Crash Mitigation Routine: Clear out peripheral outputs
            for registered_var in registry.keys():
                self.io.sync_registry_to_hardware(registered_var, False)

        return telemetry

from stone_cube_iot import IoTRegisterMap, ProductionStoneCubeEngine

def main():
    # 1. Instantiate Peripheral Register Routing maps
    io_map = IoTRegisterMap()
    
    # Map high-level bytecode variable names directly to your I/O outputs
    io_map.bind_variable_to_pin("challenge", gpio_pin_id=2)     # e.g., System Status LED
    io_map.bind_variable_to_pin("convergence", gpio_pin_id=4)   # e.g., Output Actuator Relay
    io_map.bind_variable_to_pin("hero", gpio_pin_id=5)          # e.g., Processing Core Pulse

    # 2. Boot production engine sandbox
    vm = ProductionStoneCubeEngine(io_bridge=io_map, cycle_limit=200)

    # 3. Transpile your exact Hero Convergence Matrix scenario into code payload
    hero_bytecode_payload = [
        10, "True", 20, "challenge",      # Load "True" -> Store into variable "challenge"
        30, "challenge", 50,              # Verify state
        60, 26,                           # Jump if false down to divergence block
        10, "Active", 20, "hero",         # Set hero state
        70,                               # Loop tag
        30, "hero", 10, "Active", 50,     # Assess persistence
        60, 22,                           # Jump to break destination
        10, "True", 20, "convergence",    # Flag system convergence success!
        10, "Broken", 20, "hero",         # Force breakdown condition
        60, 12,                           # Evaluate fallback jump
        10, "True", 20, "divergence",     # Dead-end recovery flag
        80, 10, "Ended", 20, "the_end",   # Sequential termination sequences
        99                                # Safe HALT instruction
    ]

    print("[SYSTEM BOOT] Executing Production ISA Bytecode Stream...")
    execution_report = vm.execute_bytecode(hero_bytecode_payload)
    print(f"[SYSTEM REPORT] Final Metrics Matrix: {execution_report}")

if __name__ == "__main__":
    main()

• Token Validity Checks:
• Stack Size Constraints:
• Isolated Environment Failure: