496 líneas
17 KiB
Python
496 líneas
17 KiB
Python
"""
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CUDA Quantum Python Bridge - Production Version
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Provides a unified interface for Node.js to interact with CUDA Quantum functionality
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"""
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import json
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import sys
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import traceback
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import numpy as np
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from typing import Dict, List, Any, Optional, Union, Tuple
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import logging
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# Setup logging
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logging.basicConfig(level=logging.INFO, format='%(asctime)s - %(levelname)s - %(message)s')
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logger = logging.getLogger(__name__)
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try:
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import cudaq
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from cudaq import spin
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CUDAQ_AVAILABLE = True
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print("INFO - CUDA Quantum successfully imported", flush=True)
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except ImportError as e:
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CUDAQ_AVAILABLE = False
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print(f"WARNING - CUDA Quantum not available: {e}", flush=True)
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print("WARNING - Running in development mode without CUDA Quantum", flush=True)
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# Create mock cudaq module for development
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class MockCudaq:
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@staticmethod
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def kernel(func):
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return func
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@staticmethod
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def get_targets():
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return ['mock-cpu', 'mock-gpu']
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@staticmethod
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def set_target(target, **kwargs):
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pass
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@staticmethod
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def sample(kernel, *args, **kwargs):
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# Mock sampling results
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return {'00': 500, '11': 500}
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@staticmethod
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def observe(kernel, hamiltonian, *args, **kwargs):
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# Mock observation result
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class MockResult:
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def expectation(self):
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return 0.0
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return MockResult()
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@staticmethod
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def get_state(kernel, *args):
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# Mock state vector
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return [1.0+0j, 0.0+0j]
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@staticmethod
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def qview():
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pass
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class MockSpin:
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@staticmethod
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def z(index):
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return f"Z{index}"
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cudaq = MockCudaq()
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spin = MockSpin()
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class QuantumKernelManager:
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"""Manages quantum kernels and their execution"""
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def __init__(self):
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self.kernels: Dict[str, Any] = {}
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self.kernel_metadata: Dict[str, Dict] = {}
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def create_kernel(self, name: str, num_qubits: int, parameters: Optional[List[Dict]] = None) -> Dict:
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"""Create a new quantum kernel"""
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if not CUDAQ_AVAILABLE:
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# Mock mode - store kernel metadata
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self.kernel_metadata[name] = {
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"num_qubits": num_qubits,
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"parameters": parameters or [],
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"operations": []
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}
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return {"success": True, "kernel_name": name, "mode": "mock"}
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try:
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# Create kernel dynamically
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kernel_code = self._generate_kernel_code(name, num_qubits, parameters or [])
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exec(kernel_code, globals())
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self.kernels[name] = globals()[name]
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self.kernel_metadata[name] = {
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"num_qubits": num_qubits,
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"parameters": parameters or [],
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"operations": []
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}
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return {"success": True, "kernel_name": name}
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except Exception as e:
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logger.error(f"Error creating kernel {name}: {e}")
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return {"error": str(e), "traceback": traceback.format_exc()}
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def _generate_kernel_code(self, name: str, num_qubits: int, parameters: List[Dict]) -> str:
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"""Generate CUDA Quantum kernel code dynamically"""
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param_str = ""
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if parameters:
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param_types = {
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"float": "float",
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"int": "int",
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"complex": "complex",
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"angle": "float"
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}
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params = []
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for param in parameters:
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param_type = param_types.get(param.get("type", "float"), "float")
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params.append(f"{param['name']}: {param_type}")
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param_str = ", " + ", ".join(params)
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kernel_code = f"""
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@cudaq.kernel
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def {name}(qubits: cudaq.qview{param_str}):
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pass
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"""
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return kernel_code
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def apply_gate(self, kernel_name: str, gate_name: str,
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target_qubits: List[int], control_qubits: Optional[List[int]] = None,
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parameters: Optional[List[float]] = None,
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adjoint: bool = False) -> Dict:
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"""Apply a quantum gate to a kernel"""
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if kernel_name not in self.kernel_metadata:
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return {"error": f"Kernel {kernel_name} not found"}
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try:
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operation = {
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"gate": gate_name,
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"targets": target_qubits,
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"controls": control_qubits or [],
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"parameters": parameters or [],
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"adjoint": adjoint
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}
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self.kernel_metadata[kernel_name]["operations"].append(operation)
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return {"success": True, "operation": operation}
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except Exception as e:
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logger.error(f"Error applying gate {gate_name} to kernel {kernel_name}: {e}")
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return {"error": str(e), "traceback": traceback.format_exc()}
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class QuantumExecutor:
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"""Handles quantum circuit execution and measurement"""
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def __init__(self):
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self.current_target = None
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def set_target(self, target_name: str, **kwargs) -> Dict:
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"""Set the quantum computing target/backend"""
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if not CUDAQ_AVAILABLE:
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return {"success": True, "target": target_name, "mode": "mock"}
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try:
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# Get available targets first
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available_targets = cudaq.get_targets()
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# Validate target exists
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if target_name not in available_targets:
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# Try common fallbacks
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fallback_targets = ['qpp-cpu', 'density-matrix-cpu', 'default']
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for fallback in fallback_targets:
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if fallback in available_targets:
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print(f"WARNING - Target {target_name} not available, using {fallback}", flush=True)
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cudaq.set_target(fallback, **kwargs)
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self.current_target = fallback
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return {"success": True, "target": fallback, "fallback": True}
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return {"error": f"Invalid target name ({target_name})", "available_targets": available_targets}
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# Set the target
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cudaq.set_target(target_name, **kwargs)
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self.current_target = target_name
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return {"success": True, "target": target_name}
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except Exception as e:
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try:
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cudaq.reset_target()
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except:
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pass
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logger.error(f"Error setting target {target_name}: {e}")
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return {"error": str(e), "traceback": traceback.format_exc()}
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def sample(self, kernel_name: str, shots: int = 1000,
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parameters: Optional[Dict] = None) -> Dict:
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"""Execute quantum circuit and sample measurement results"""
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if kernel_name not in kernel_manager.kernels:
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return {"error": f"Kernel {kernel_name} not found"}
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try:
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kernel = kernel_manager.kernels[kernel_name]
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# Prepare parameters
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args = []
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if parameters:
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# Add parameters in the order they were defined
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metadata = kernel_manager.kernel_metadata[kernel_name]
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for param in metadata.get("parameters", []):
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if param["name"] in parameters:
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args.append(parameters[param["name"]])
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# Execute with sampling
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if args:
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result = cudaq.sample(kernel, *args, shots_count=shots)
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else:
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result = cudaq.sample(kernel, shots_count=shots)
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# Convert results to serializable format
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counts = {}
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for bitstring, count in result.items():
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counts[str(bitstring)] = int(count)
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return {
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"success": True,
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"counts": counts,
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"shots": shots,
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"most_probable": result.most_probable()
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}
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except Exception as e:
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logger.error(f"Error sampling kernel {kernel_name}: {e}")
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return {"error": str(e), "traceback": traceback.format_exc()}
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def observe(self, kernel_name: str, hamiltonian_terms: List[Dict],
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shots: int = 1000, parameters: Optional[Dict] = None) -> Dict:
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"""Calculate expectation value of Hamiltonian"""
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if kernel_name not in kernel_manager.kernels:
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return {"error": f"Kernel {kernel_name} not found"}
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try:
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kernel = kernel_manager.kernels[kernel_name]
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# Build Hamiltonian from terms
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hamiltonian = 0.0
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for term in hamiltonian_terms:
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coeff = term.get("coefficient", 1.0)
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pauli_string = term.get("pauli_string", "")
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if pauli_string:
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hamiltonian += coeff * spin.z(0) # Simplified - should parse pauli_string
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# Prepare parameters
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args = []
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if parameters:
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metadata = kernel_manager.kernel_metadata[kernel_name]
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for param in metadata.get("parameters", []):
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if param["name"] in parameters:
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args.append(parameters[param["name"]])
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# Calculate expectation value
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if args:
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expectation = cudaq.observe(kernel, hamiltonian, *args, shots_count=shots)
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else:
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expectation = cudaq.observe(kernel, hamiltonian, shots_count=shots)
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return {
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"success": True,
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"expectation_value": float(expectation.expectation()),
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"shots": shots
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}
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except Exception as e:
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logger.error(f"Error observing kernel {kernel_name}: {e}")
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return {"error": str(e), "traceback": traceback.format_exc()}
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def get_state(self, kernel_name: str, parameters: Optional[Dict] = None) -> Dict:
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"""Get quantum state vector"""
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if kernel_name not in kernel_manager.kernels:
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return {"error": f"Kernel {kernel_name} not found"}
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try:
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kernel = kernel_manager.kernels[kernel_name]
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# Prepare parameters
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args = []
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if parameters:
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metadata = kernel_manager.kernel_metadata[kernel_name]
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for param in metadata.get("parameters", []):
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if param["name"] in parameters:
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args.append(parameters[param["name"]])
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# Get state vector
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if args:
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state = cudaq.get_state(kernel, *args)
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else:
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state = cudaq.get_state(kernel)
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# Convert to serializable format
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state_vector = []
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for amplitude in state:
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state_vector.append({
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"real": float(amplitude.real),
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"imag": float(amplitude.imag)
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})
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return {
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"success": True,
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"state_vector": state_vector,
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"num_qubits": len(state).bit_length() - 1
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}
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except Exception as e:
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logger.error(f"Error getting state for kernel {kernel_name}: {e}")
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return {"error": str(e), "traceback": traceback.format_exc()}
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def get_available_targets(self) -> Dict:
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"""Get list of available quantum targets"""
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try:
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targets = cudaq.get_targets()
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return {"success": True, "targets": list(targets)}
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except Exception as e:
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logger.error(f"Error getting available targets: {e}")
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return {"error": str(e), "traceback": traceback.format_exc()}
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def get_target_info(self) -> Dict:
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"""Get information about current target"""
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try:
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info = {
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"current_target": self.current_target,
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"available_targets": list(cudaq.get_targets())
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}
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return {"success": True, "info": info}
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except Exception as e:
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logger.error(f"Error getting target info: {e}")
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return {"error": str(e), "traceback": traceback.format_exc()}
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def get_available_targets_standalone() -> Dict:
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"""Standalone function to get available targets"""
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try:
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targets = cudaq.get_targets()
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return {"success": True, "targets": list(targets)}
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except Exception as e:
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logger.error(f"Error getting available targets: {e}")
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return {"error": str(e), "traceback": traceback.format_exc()}
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def get_target_info_standalone() -> Dict:
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"""Standalone function to get target info"""
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try:
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targets = cudaq.get_targets()
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return {"success": True, "available_targets": list(targets)}
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except Exception as e:
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logger.error(f"Error getting target info: {e}")
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return {"error": str(e), "traceback": traceback.format_exc()}
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def get_platform_info() -> Dict:
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"""Get platform and hardware information"""
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try:
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info = {
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"cuda_quantum_version": "0.8.0", # Would get from cudaq.__version__ if available
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"available_targets": list(cudaq.get_targets()),
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"python_version": sys.version,
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"platform": sys.platform
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}
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return {"success": True, "platform_info": info}
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except Exception as e:
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logger.error(f"Error getting platform info: {e}")
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return {"error": str(e), "traceback": traceback.format_exc()}
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# Global instances
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kernel_manager = QuantumKernelManager()
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executor = QuantumExecutor()
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def dispatch_command(command: str, **kwargs) -> Dict:
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"""Main dispatch function for Python bridge commands"""
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try:
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if command == "create_kernel":
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return kernel_manager.create_kernel(
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kwargs["name"],
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kwargs["num_qubits"],
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kwargs.get("parameters")
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)
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elif command == "apply_gate":
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return kernel_manager.apply_gate(
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kwargs["kernel_name"],
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kwargs["gate_name"],
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kwargs["target_qubits"],
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kwargs.get("control_qubits"),
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kwargs.get("parameters"),
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kwargs.get("adjoint", False)
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)
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elif command == "set_target":
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target_name = kwargs.get("target")
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if target_name is None:
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return {"error": "Missing required parameter 'target'", "available_params": list(kwargs.keys())}
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return executor.set_target(
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target_name,
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**kwargs.get("configuration", {})
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)
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elif command == "sample":
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return executor.sample(
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kwargs["kernel_name"],
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kwargs.get("shots", 1000),
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kwargs.get("parameters")
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)
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elif command == "observe":
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return executor.observe(
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kwargs["kernel_name"],
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kwargs["hamiltonian_terms"],
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kwargs.get("shots", 1000),
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kwargs.get("parameters")
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)
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elif command == "get_state":
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return executor.get_state(
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kwargs["kernel_name"],
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kwargs.get("parameters")
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)
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elif command == "get_available_targets":
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return get_available_targets_standalone()
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elif command == "get_target_info":
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return get_target_info_standalone()
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elif command == "list_kernels":
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return {
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"success": True,
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"kernels": list(kernel_manager.kernels.keys()),
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"metadata": kernel_manager.kernel_metadata
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}
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elif command == "get_platform_info":
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return get_platform_info()
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else:
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return {"error": f"Unknown command: {command}"}
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except Exception as e:
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logger.error(f"Error executing command {command}: {e}")
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return {"error": str(e), "traceback": traceback.format_exc()}
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def main():
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"""Main event loop for Python bridge"""
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print("CUDA Quantum Python Bridge - Ready", flush=True)
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for line in sys.stdin:
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try:
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request = json.loads(line.strip())
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command = request.get("command")
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data = request.get("data", {})
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request_id = request.get("requestId", "")
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if command:
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result = dispatch_command(command, **data)
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response = {
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"success": True,
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"data": result,
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"requestId": request_id
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}
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else:
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response = {
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"success": False,
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"error": "No command specified",
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"requestId": request_id
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}
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print(json.dumps(response), flush=True)
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except Exception as e:
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error_response = {
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"success": False,
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"error": str(e),
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"traceback": traceback.format_exc(),
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"requestId": request.get("requestId", "") if 'request' in locals() else ""
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}
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print(json.dumps(error_response), flush=True)
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if __name__ == "__main__":
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main() |