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    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "2024-10-03 09:43:41,741\tINFO worker.py:1786 -- Started a local Ray instance.\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "waiting for ray\n",
      "ray returned all\n",
      "ray finsihed 0.4031927839969285\n",
      "worker 0 started\n",
      "worker 0 finsihed\n",
      "worker 1 started\n",
      "worker 1 finsihed\n",
      "worker 2 started\n",
      "worker 2 finsihed\n",
      "worker 3 started\n",
      "worker 3 finsihed\n",
      "serial function finsihed 0.21200023603159934\n",
      "Ray with 4 parts: 0.4031927839969285 seconds\n",
      "Serial: 0.21200023603159934 seconds\n",
      "Serial computation is faster than Ray with 4 parts\n"
     ]
    }
   ],
   "source": [
    "import numpy as np\n",
    "import timeit\n",
    "import ray\n",
    "\n",
    "# Define the expensive function\n",
    "@ray.remote\n",
    "def expensive_function(n):\n",
    "    # Generate a large random matrix\n",
    "    A = np.random.rand(1000, 1000)\n",
    "    B = np.random.rand(1000, 1000)\n",
    "\n",
    "    # Perform the matrix multiplication\n",
    "    C = np.dot(A, B)\n",
    "    # Return the result\n",
    "    return C\n",
    "\n",
    "def expensive_function_serial(n):\n",
    "    print(f\"worker {n} started\")\n",
    "    # Generate a large random matrix\n",
    "    A = np.random.rand(1000, 1000)\n",
    "    B = np.random.rand(1000, 1000)\n",
    "\n",
    "    # Perform the matrix multiplication\n",
    "    C = np.dot(A, B)\n",
    "\n",
    "    # Return the result\n",
    "    print(f\"worker {n} finsihed\")\n",
    "    return C\n",
    "\n",
    "# Initialize Ray\n",
    "ray.init()\n",
    "\n",
    "# Create 4 remote actors to distribute the work\n",
    "futures = [expensive_function.remote(_) for _ in range(4)]\n",
    "\n",
    "# Time the function using Ray with 4 parts\n",
    "start_time = timeit.default_timer()\n",
    "print(\"waiting for ray\")\n",
    "results = ray.get(futures)\n",
    "print(\"ray returned all\")\n",
    "end_time = timeit.default_timer()\n",
    "ray_time = end_time - start_time\n",
    "print(\"ray finsihed\", ray_time)\n",
    "\n",
    "# Time the function serially\n",
    "start_time = timeit.default_timer()\n",
    "results = [expensive_function_serial(_) for _ in range(4)]\n",
    "end_time = timeit.default_timer()\n",
    "serial_time = end_time - start_time\n",
    "print(\"serial function finsihed\", serial_time)\n",
    "\n",
    "\n",
    "# Print the results\n",
    "print(f\"Ray with 4 parts: {ray_time} seconds\")\n",
    "print(f\"Serial: {serial_time} seconds\")\n",
    "\n",
    "# Compare the results\n",
    "if ray_time < serial_time:\n",
    "    print(\"Ray with 4 parts is faster than serial computation\")\n",
    "else:\n",
    "    print(\"Serial computation is faster than Ray with 4 parts\")\n",
    "\n",
    "# Shutdown Ray\n",
    "ray.shutdown()\n"
   ]
  }
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