QAOA_Cuda_Q.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import networkx as nx\n",
    "from networkx import algorithms\n",
    "from networkx.algorithms import community\n",
    "import cudaq\n",
    "from cudaq import spin\n",
    "from cudaq.qis import *\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "from typing import List\n",
    "import numpy as np\n",
    "import os\n",
    "import time\n",
    "import scipy.sparse as sp\n",
    "from typing import Tuple\n",
    "import json"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "# Generated 2024-11-28 21:58:00.190076\n",
      "\n",
      "# Constant term of objective = 66363.47\n",
      "\n",
      "# Diagonal terms\n",
      "\n",
      "0 0 -5530.29\n",
      "\n",
      "1 1 -11060.58\n",
      "\n",
      "2 2 -11060.58\n",
      "\n",
      "3 3 -11060.58\n",
      "\n",
      "4 4 -5530.29\n",
      "\n",
      "5 5 -10505.93\n",
      "\n",
      "6 6 -5530.29\n",
      "\n",
      "7 7 -10523.10\n",
      "\n",
      "8 8 -5530.29\n",
      "\n",
      "9 9 -6623.42\n",
      "\n",
      "# Off-Diagonal terms\n",
      "\n",
      "5 7  11060.58\n",
      "\n",
      "5 8  11060.58\n",
      "\n",
      "5 9  11060.58\n",
      "\n",
      "6 7  11060.58\n",
      "\n",
      "7 9  11060.58\n"
     ]
    }
   ],
   "source": [
    "# Set base directory\n",
    "base_dir = os.getcwd()\n",
    "\n",
    "# Set the path to vrp-matrices directory\n",
    "vrp_matrices_dir = os.path.join(base_dir, 'TestSet')\n",
    "\n",
    "# Full path to the .rudy file\n",
    "rudy_file_path = os.path.join(vrp_matrices_dir, 'test_pb_10_o.rudy')\n",
    "\n",
    "# Check if the file exists\n",
    "if not os.path.isfile(rudy_file_path):\n",
    "    raise FileNotFoundError(f\"No such file or directory: '{rudy_file_path}'\")\n",
    "\n",
    "# Parse the data contents into lines one by one\n",
    "with open(rudy_file_path, 'r') as f:\n",
    "    lines = f.readlines()\n",
    "    # Do not save if starting with #\n",
    "    for line in lines:\n",
    "    #     if line.startswith('#'):\n",
    "    #         continue\n",
    "        # else:\n",
    "            print(line)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Convert the abiove rudy file which has the diagonal and off diagonal terms of qubo Q matrix into a qubo Q matirx\n",
    "\n",
    "def parse_rudy_to_qubo(rudy_file: str) -> Tuple[np.ndarray, float]:\n",
    "    \"\"\"\n",
    "    Parse a .rudy file to extract QUBO problem data.\n",
    "    \"\"\"\n",
    "    with open(rudy_file, 'r') as file:\n",
    "        lines = file.readlines()\n",
    "    \n",
    "    # Initialize placeholders\n",
    "    constant = 0\n",
    "    diagonal_terms = []\n",
    "    off_diagonal_terms = []\n",
    "    max_index = 0\n",
    "    \n",
    "    for line in lines:\n",
    "        line = line.strip() # Remove leading/trailing whitespaces\n",
    "\n",
    "        # Skip comment lines\n",
    "        if not line or line.startswith(\"#\"): # Skip empty lines and comments\n",
    "            # Extract constant term\n",
    "            if \"Constant term of objective\" in line:\n",
    "                constant = float(line.split(\"=\")[-1].strip())\n",
    "            continue  # Skip further processing of this line\n",
    "        \n",
    "        # Parse terms\n",
    "        terms = line.split() # Split by whitespace. E.g. \"0 0 1.0\" -> [\"0\", \"0\", \"1.0\"]\n",
    "\n",
    "        # Check if the term is diagonal or off-diagonal\n",
    "        if terms[0] == terms[1]:  # Diagonal terms\n",
    "            i = int(terms[0])\n",
    "            max_index = max(max_index, i) # Update max index\n",
    "            diagonal_terms.append((i, float(terms[2]))) # Append (index, value) tuple\n",
    "        else:  # Off-diagonal terms\n",
    "            i, j = int(terms[0]), int(terms[1])\n",
    "            max_index = max(max_index, i, j)\n",
    "            off_diagonal_terms.append((i, j, float(terms[2])))\n",
    "        \n",
    "        print(f\"Diagonal terms: {diagonal_terms}\")\n",
    "        print(f\"Off-diagonal terms: {off_diagonal_terms}\")\n",
    " \n",
    "    # Construct Q matrix\n",
    "    n = max_index + 1 # Number of variables (0-indexed)\n",
    "    Q = np.zeros((n, n), dtype=np.float64)\n",
    "    \n",
    "    for i, value in diagonal_terms:\n",
    "        Q[i, i] = value\n",
    "    \n",
    "    for i, j, value in off_diagonal_terms:\n",
    "        Q[i, j] = value  # Ensure symmetry\n",
    "        Q[j, i] = value  # Ensure symmetry\n",
    "    \n",
    "    return Q, constant"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Diagonal terms: [(0, -5530.29)]\n",
      "Off-diagonal terms: []\n",
      "Diagonal terms: [(0, -5530.29), (1, -11060.58)]\n",
      "Off-diagonal terms: []\n",
      "Diagonal terms: [(0, -5530.29), (1, -11060.58), (2, -11060.58)]\n",
      "Off-diagonal terms: []\n",
      "Diagonal terms: [(0, -5530.29), (1, -11060.58), (2, -11060.58), (3, -11060.58)]\n",
      "Off-diagonal terms: []\n",
      "Diagonal terms: [(0, -5530.29), (1, -11060.58), (2, -11060.58), (3, -11060.58), (4, -5530.29)]\n",
      "Off-diagonal terms: []\n",
      "Diagonal terms: [(0, -5530.29), (1, -11060.58), (2, -11060.58), (3, -11060.58), (4, -5530.29), (5, -10505.93)]\n",
      "Off-diagonal terms: []\n",
      "Diagonal terms: [(0, -5530.29), (1, -11060.58), (2, -11060.58), (3, -11060.58), (4, -5530.29), (5, -10505.93), (6, -5530.29)]\n",
      "Off-diagonal terms: []\n",
      "Diagonal terms: [(0, -5530.29), (1, -11060.58), (2, -11060.58), (3, -11060.58), (4, -5530.29), (5, -10505.93), (6, -5530.29), (7, -10523.1)]\n",
      "Off-diagonal terms: []\n",
      "Diagonal terms: [(0, -5530.29), (1, -11060.58), (2, -11060.58), (3, -11060.58), (4, -5530.29), (5, -10505.93), (6, -5530.29), (7, -10523.1), (8, -5530.29)]\n",
      "Off-diagonal terms: []\n",
      "Diagonal terms: [(0, -5530.29), (1, -11060.58), (2, -11060.58), (3, -11060.58), (4, -5530.29), (5, -10505.93), (6, -5530.29), (7, -10523.1), (8, -5530.29), (9, -6623.42)]\n",
      "Off-diagonal terms: []\n",
      "Diagonal terms: [(0, -5530.29), (1, -11060.58), (2, -11060.58), (3, -11060.58), (4, -5530.29), (5, -10505.93), (6, -5530.29), (7, -10523.1), (8, -5530.29), (9, -6623.42)]\n",
      "Off-diagonal terms: [(5, 7, 11060.58)]\n",
      "Diagonal terms: [(0, -5530.29), (1, -11060.58), (2, -11060.58), (3, -11060.58), (4, -5530.29), (5, -10505.93), (6, -5530.29), (7, -10523.1), (8, -5530.29), (9, -6623.42)]\n",
      "Off-diagonal terms: [(5, 7, 11060.58), (5, 8, 11060.58)]\n",
      "Diagonal terms: [(0, -5530.29), (1, -11060.58), (2, -11060.58), (3, -11060.58), (4, -5530.29), (5, -10505.93), (6, -5530.29), (7, -10523.1), (8, -5530.29), (9, -6623.42)]\n",
      "Off-diagonal terms: [(5, 7, 11060.58), (5, 8, 11060.58), (5, 9, 11060.58)]\n",
      "Diagonal terms: [(0, -5530.29), (1, -11060.58), (2, -11060.58), (3, -11060.58), (4, -5530.29), (5, -10505.93), (6, -5530.29), (7, -10523.1), (8, -5530.29), (9, -6623.42)]\n",
      "Off-diagonal terms: [(5, 7, 11060.58), (5, 8, 11060.58), (5, 9, 11060.58), (6, 7, 11060.58)]\n",
      "Diagonal terms: [(0, -5530.29), (1, -11060.58), (2, -11060.58), (3, -11060.58), (4, -5530.29), (5, -10505.93), (6, -5530.29), (7, -10523.1), (8, -5530.29), (9, -6623.42)]\n",
      "Off-diagonal terms: [(5, 7, 11060.58), (5, 8, 11060.58), (5, 9, 11060.58), (6, 7, 11060.58), (7, 9, 11060.58)]\n",
      "QUBO Matrix (Q):\n",
      "[[ -5530.29      0.        0.        0.        0.        0.        0.\n",
      "       0.        0.        0.  ]\n",
      " [     0.   -11060.58      0.        0.        0.        0.        0.\n",
      "       0.        0.        0.  ]\n",
      " [     0.        0.   -11060.58      0.        0.        0.        0.\n",
      "       0.        0.        0.  ]\n",
      " [     0.        0.        0.   -11060.58      0.        0.        0.\n",
      "       0.        0.        0.  ]\n",
      " [     0.        0.        0.        0.    -5530.29      0.        0.\n",
      "       0.        0.        0.  ]\n",
      " [     0.        0.        0.        0.        0.   -10505.93      0.\n",
      "   11060.58  11060.58  11060.58]\n",
      " [     0.        0.        0.        0.        0.        0.    -5530.29\n",
      "   11060.58      0.        0.  ]\n",
      " [     0.        0.        0.        0.        0.    11060.58  11060.58\n",
      "  -10523.1       0.    11060.58]\n",
      " [     0.        0.        0.        0.        0.    11060.58      0.\n",
      "       0.    -5530.29      0.  ]\n",
      " [     0.        0.        0.        0.        0.    11060.58      0.\n",
      "   11060.58      0.    -6623.42]]\n",
      "Constant (c): 66363.47\n",
      "QUBO Matrix shape: (10, 10)\n"
     ]
    }
   ],
   "source": [
    "# Get the QUBO data\n",
    "\n",
    "Q, constant = parse_rudy_to_qubo(rudy_file_path)\n",
    "\n",
    "# Print or save the QUBO data\n",
    "print(\"QUBO Matrix (Q):\")\n",
    "print(Q)\n",
    "print(\"Constant (c):\", constant)\n",
    "print(\"QUBO Matrix shape:\", Q.shape)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[[ -5530.29      0.        0.        0.        0.        0.        0.\n",
      "       0.        0.        0.  ]\n",
      " [     0.   -11060.58      0.        0.        0.        0.        0.\n",
      "       0.        0.        0.  ]\n",
      " [     0.        0.   -11060.58      0.        0.        0.        0.\n",
      "       0.        0.        0.  ]\n",
      " [     0.        0.        0.   -11060.58      0.        0.        0.\n",
      "       0.        0.        0.  ]\n",
      " [     0.        0.        0.        0.    -5530.29      0.        0.\n",
      "       0.        0.        0.  ]\n",
      " [     0.        0.        0.        0.        0.   -10505.93      0.\n",
      "   11060.58  11060.58  11060.58]\n",
      " [     0.        0.        0.        0.        0.        0.    -5530.29\n",
      "   11060.58      0.        0.  ]\n",
      " [     0.        0.        0.        0.        0.    11060.58  11060.58\n",
      "  -10523.1       0.    11060.58]\n",
      " [     0.        0.        0.        0.        0.    11060.58      0.\n",
      "       0.    -5530.29      0.  ]\n",
      " [     0.        0.        0.        0.        0.    11060.58      0.\n",
      "   11060.58      0.    -6623.42]]\n"
     ]
    }
   ],
   "source": [
    "print(Q)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "def qubo_to_maxcut(Q):\n",
    "    n = Q.shape[0]\n",
    "    G = nx.complete_graph(n + 1)\n",
    "    \n",
    "    # Define weights for edges in Kn+1\n",
    "    for i in range(1, n + 1):\n",
    "        for j in range(1, n + 1):\n",
    "            if i != j:\n",
    "                G[i][j]['weight'] = Q[i-1, j-1] + Q[j-1, i-1]\n",
    "    \n",
    "    for i in range(1, n + 1):\n",
    "        G[0][i]['weight'] = sum(Q[i-1, j] + Q[j, i-1] for j in range(n))\n",
    "    \n",
    "    return G\n",
    "\n",
    "# plot the graph G as a networkx graph with edge weights\n",
    "G = qubo_to_maxcut(Q)\n",
    "pos = nx.spring_layout(G)\n",
    "edge_labels = nx.get_edge_attributes(G, 'weight')\n",
    "nx.draw(G, pos, with_labels=True, font_weight='bold')\n",
    "nx.draw_networkx_edge_labels(G, pos, edge_labels=edge_labels)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Identifying and setting target\n",
    "\n",
    "targets = cudaq.get_targets()\n",
    "# for target in targets: \n",
    "#    print(target)\n",
    "cudaq.set_target(\"qpp-cpu\") # nvidia-fp64\n",
    "# cudaq.set_target(\"nvidia\", option=\"mqpu\")\n",
    "target = cudaq.get_target()\n",
    "# num_qpus = target.num_qpus()\n",
    "# print(\"Number of GPUs:\", num_qpus)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Diagonal elements of Q matrix:\n",
      "Q[0, 0] = -5530.29\n",
      "Q[1, 1] = -11060.58\n",
      "Q[2, 2] = -11060.58\n",
      "Q[3, 3] = -11060.58\n",
      "Q[4, 4] = -5530.29\n",
      "Q[5, 5] = -10505.93\n",
      "Q[6, 6] = -5530.29\n",
      "Q[7, 7] = -10523.1\n",
      "Q[8, 8] = -5530.29\n",
      "Q[9, 9] = -6623.42\n",
      "Graph nodes: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10]\n",
      "Graph edges: [(0, 1), (0, 2), (0, 3), (0, 4), (0, 5), (0, 6), (0, 7), (0, 8), (0, 9), (0, 10), (1, 2), (1, 3), (1, 4), (1, 5), (1, 6), (1, 7), (1, 8), (1, 9), (1, 10), (2, 3), (2, 4), (2, 5), (2, 6), (2, 7), (2, 8), (2, 9), (2, 10), (3, 4), (3, 5), (3, 6), (3, 7), (3, 8), (3, 9), (3, 10), (4, 5), (4, 6), (4, 7), (4, 8), (4, 9), (4, 10), (5, 6), (5, 7), (5, 8), (5, 9), (5, 10), (6, 7), (6, 8), (6, 9), (6, 10), (7, 8), (7, 9), (7, 10), (8, 9), (8, 10), (9, 10)]\n",
      "Graph edge weights: {(0, 1): np.float64(-11060.58), (0, 2): np.float64(-22121.16), (0, 3): np.float64(-22121.16), (0, 4): np.float64(-22121.16), (0, 5): np.float64(-11060.58), (0, 6): np.float64(45351.619999999995), (0, 7): np.float64(11060.58), (0, 8): np.float64(45317.28), (0, 9): np.float64(11060.58), (0, 10): np.float64(30995.48), (1, 2): np.float64(0.0), (1, 3): np.float64(0.0), (1, 4): np.float64(0.0), (1, 5): np.float64(0.0), (1, 6): np.float64(0.0), (1, 7): np.float64(0.0), (1, 8): np.float64(0.0), (1, 9): np.float64(0.0), (1, 10): np.float64(0.0), (2, 3): np.float64(0.0), (2, 4): np.float64(0.0), (2, 5): np.float64(0.0), (2, 6): np.float64(0.0), (2, 7): np.float64(0.0), (2, 8): np.float64(0.0), (2, 9): np.float64(0.0), (2, 10): np.float64(0.0), (3, 4): np.float64(0.0), (3, 5): np.float64(0.0), (3, 6): np.float64(0.0), (3, 7): np.float64(0.0), (3, 8): np.float64(0.0), (3, 9): np.float64(0.0), (3, 10): np.float64(0.0), (4, 5): np.float64(0.0), (4, 6): np.float64(0.0), (4, 7): np.float64(0.0), (4, 8): np.float64(0.0), (4, 9): np.float64(0.0), (4, 10): np.float64(0.0), (5, 6): np.float64(0.0), (5, 7): np.float64(0.0), (5, 8): np.float64(0.0), (5, 9): np.float64(0.0), (5, 10): np.float64(0.0), (6, 7): np.float64(0.0), (6, 8): np.float64(22121.16), (6, 9): np.float64(22121.16), (6, 10): np.float64(22121.16), (7, 8): np.float64(22121.16), (7, 9): np.float64(0.0), (7, 10): np.float64(0.0), (8, 9): np.float64(0.0), (8, 10): np.float64(22121.16), (9, 10): np.float64(0.0)}\n"
     ]
    }
   ],
   "source": [
    "# # Graph Definition\n",
    "\n",
    "sampleGraph3 = qubo_to_maxcut(Q)\n",
    "\n",
    "# print only the diagonal elements of the Q matrix along with the indices\n",
    "print(\"Diagonal elements of Q matrix:\")\n",
    "for i in range(Q.shape[0]):\n",
    "    print(f\"Q[{i}, {i}] = {Q[i, i]}\")\n",
    "\n",
    "print(\"Graph nodes:\", sampleGraph3.nodes)\n",
    "print(\"Graph edges:\", sampleGraph3.edges)\n",
    "print(\"Graph edge weights:\", nx.get_edge_attributes(sampleGraph3, 'weight'))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Define a function to generate the Hamiltonian for a weighted max cut problem using the graph G\n",
    "\n",
    "def hamiltonian_max_cut(sources : List[int], targets : List[int], weights : List[float]): \n",
    "    \"\"\"Hamiltonian for finding the max cut for the graph  with edges defined by the pairs generated by source and target edges\n",
    "        \n",
    "    Parameters\n",
    "    ----------\n",
    "    sources: List[int] \n",
    "        list of the source vertices for edges in the graph\n",
    "    targets: List[int]\n",
    "        list of the target vertices for the edges in the graph\n",
    "    weights : List[float]\n",
    "        list of the weight of the edge determined by the source and target with the same index\n",
    "    Returns\n",
    "    -------\n",
    "    cudaq.SpinOperator\n",
    "        Hamiltonian for finding the max cut of the graph defined by the given edges\n",
    "    \"\"\"\n",
    "    hamiltonian = 0\n",
    "    # Since our vertices may not be a list from 0 to n, or may not even be integers,\n",
    "    \n",
    "    for i in range(len(sources)):\n",
    "        # Add a term to the Hamiltonian for the edge (u,v)\n",
    "        qubitu = sources[i]\n",
    "        qubitv = targets[i]\n",
    "        edge_weight = weights[i]\n",
    "        hamiltonian += 0.5*edge_weight*(spin.z(qubitu)*spin.z(qubitv)-spin.i(qubitu)*spin.i(qubitv))\n",
    "    \n",
    "    return hamiltonian"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "# QAOA kernels\n",
    "\n",
    "# Problem kernel\n",
    "@cudaq.kernel\n",
    "def qaoaProblem(qubit_0 : cudaq.qubit, qubit_1 : cudaq.qubit, alpha : float):\n",
    "    \"\"\"Build the QAOA gate sequence between two qubits that represent an edge of the graph\n",
    "    Parameters\n",
    "    ----------\n",
    "    qubit_0: cudaq.qubit\n",
    "        Qubit representing the first vertex of an edge\n",
    "    qubit_1: cudaq.qubit\n",
    "        Qubit representing the second vertex of an edge\n",
    "    alpha: float\n",
    "        Free variable\n",
    "\n",
    "    \"\"\"\n",
    "    x.ctrl(qubit_0, qubit_1)\n",
    "    rz(2.0*alpha, qubit_1)\n",
    "    x.ctrl(qubit_0, qubit_1)\n",
    "\n",
    "# Mixer kernel\n",
    "@cudaq.kernel\n",
    "def qaoaMixer(qubit_0 : cudaq.qubit, beta : float):\n",
    "    \"\"\"Build the QAOA gate sequence that is applied to each qubit in the mixer portion of the circuit\n",
    "    Parameters\n",
    "    ----------\n",
    "    qubit_0: cudaq.qubit\n",
    "        Qubit\n",
    "    beta: float\n",
    "        Free variable\n",
    "\n",
    "    \"\"\"\n",
    "    rx(2.0*beta, qubit_0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Define the QAOA circuit: # The QAOA circuit for max cut depends on the structure of the graph!\n",
    "\n",
    "@cudaq.kernel\n",
    "def kernel_qaoa(qubit_count :int, layer_count: int, edges_src: List[int], edges_tgt: List[int], thetas : List[float]):\n",
    "    \"\"\"Build the QAOA circuit for max cut of the graph with given edges and nodes\n",
    "    Parameters\n",
    "    ----------\n",
    "    qubit_count: int\n",
    "        Number of qubits in the circuit, which is the same as the number of nodes in our graph\n",
    "    layer_count : int\n",
    "        Number of layers in the QAOA kernel\n",
    "    edges_src: List[int]\n",
    "        List of the first (source) node listed in each edge of the graph, when the edges of the graph are listed as pairs of nodes\n",
    "    edges_tgt: List[int]\n",
    "        List of the second (target) node listed in each edge of the graph, when the edges of the graph are listed as pairs of nodes\n",
    "    thetas: List[float]\n",
    "        Free variables to be optimized\n",
    "\n",
    "    \"\"\"\n",
    "\n",
    "    # Allocate qubits\n",
    "    qreg = cudaq.qvector(qubit_count)\n",
    "\n",
    "    # Placing qubits in superposition\n",
    "    h(qreg)\n",
    "\n",
    "    # Each layer has two components: the problem kernel and the mixer\n",
    "    for i in range(layer_count):\n",
    "        # Add the problem kernel to each layer\n",
    "        for edge in range(len(edges_src)):\n",
    "            qubitu = edges_src[edge]\n",
    "            qubitv = edges_tgt[edge]\n",
    "            qaoaProblem(qreg[qubitu], qreg[qubitv], thetas[i])\n",
    "        # Add mixer kernel to each layer\n",
    "        for j in range(qubit_count):\n",
    "            qaoaMixer(qreg[j], thetas[layer_count + i])          "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Find the optimal parameters for the QAOA circuit using classical optimization\n",
    "\n",
    "def find_optimal_parameters(G, layer_count, seed):\n",
    "    \"\"\"Function for finding the optimal parameters of QAOA for the max cut of a graph\n",
    "    Parameters\n",
    "    ----------\n",
    "    G: networkX graph \n",
    "        Problem graph whose max cut we aim to find\n",
    "    layer_count : int \n",
    "        Number of layers in the QAOA circuit\n",
    "    seed : int\n",
    "        Random seed for reproducibility of results\n",
    "        \n",
    "    Returns\n",
    "    -------\n",
    "    list[float]\n",
    "        Optimal parameters for the QAOA applied to the given graph G\n",
    "    \"\"\"\n",
    "    parameter_count: int = 2 * layer_count\n",
    "\n",
    "    # Problem parameters\n",
    "    nodes = sorted(list(nx.nodes(G)))\n",
    "    qubit_src = []\n",
    "    qubit_tgt = []\n",
    "    weights = []\n",
    "    for u, v in nx.edges(G):\n",
    "        # We can use the index() command to read out the qubits associated with the vertex u and v.\n",
    "        qubit_src.append(nodes.index(u))\n",
    "        qubit_tgt.append(nodes.index(v))\n",
    "        weights.append(G.edges[u,v]['weight'])                                           \n",
    "    # The number of qubits we'll need is the same as the number of vertices in our graph\n",
    "    qubit_count : int = len(nodes)\n",
    "    # Each layer of the QAOA kernel contains 2 parameters\n",
    "    parameter_count : int = 2*layer_count\n",
    "    \n",
    "    # Specify the optimizer and its initial parameters. \n",
    "    optimizer = cudaq.optimizers.NelderMead()\n",
    "    np.random.seed(seed)\n",
    "    cudaq.set_random_seed(seed)\n",
    "    optimizer.initial_parameters = np.random.uniform(-np.pi, np.pi,\n",
    "                                                     parameter_count)   \n",
    "\n",
    "    # Pass the kernel, spin operator, and optimizer to `cudaq.vqe`.\n",
    "    optimal_expectation, optimal_parameters = cudaq.vqe(\n",
    "        kernel=kernel_qaoa,\n",
    "        spin_operator=hamiltonian_max_cut(qubit_src, qubit_tgt, weights),\n",
    "        argument_mapper=lambda parameter_vector: (qubit_count, layer_count, qubit_src, qubit_tgt, parameter_vector),\n",
    "        optimizer=optimizer,\n",
    "        parameter_count=parameter_count)\n",
    "\n",
    "    return optimal_parameters"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [],
   "source": [
    "# These functions are used to identify the subgraph that contains a given vertex, and identify the vertices of the parent graph \n",
    "# that lie on the border of the subgraphs in the subgraph dictionary\n",
    "\n",
    "def subgraph_of_vertex(graph_dictionary, vertex):\n",
    "    \"\"\"\n",
    "    A function that takes as input a subgraph partition (in the form of a graph dictionary) and a vertex.\n",
    "    The function should return the key associated with the subgraph that contains the given vertex.\n",
    "\n",
    "    Parameters\n",
    "    ----------\n",
    "    graph_dictionary: dict of networkX.Graph with str as keys\n",
    "    v : int\n",
    "        v is a name for a vertex\n",
    "    Returns\n",
    "    -------\n",
    "    str\n",
    "        the key associated with the subgraph that contains the given vertex.\n",
    "    \"\"\"\n",
    "    # in case a vertex does not appear in the graph_dictionary, return the empty string\n",
    "    location = ''\n",
    "\n",
    "    for key in graph_dictionary:\n",
    "        if vertex in graph_dictionary[key].nodes():\n",
    "            location = key\n",
    "    return location\n",
    "\n",
    "def border(G, subgraph_dictionary):\n",
    "    \"\"\"Build a graph made up of border vertices from the subgraph partition\n",
    "\n",
    "    Parameters\n",
    "    ----------\n",
    "    G: networkX.Graph\n",
    "        Graph whose max cut we want to find\n",
    "    subgraph_dictionary: dict of networkX graph with str as keys\n",
    "        Each graph in the dictionary should be a subgraph of G\n",
    "\n",
    "    Returns\n",
    "    -------\n",
    "    networkX.Graph\n",
    "        Subgraph of G made up of only the edges connecting subgraphs in the subgraph dictionary\n",
    "    \"\"\"\n",
    "    borderGraph = nx.Graph()\n",
    "    for u,v in G.edges():\n",
    "        border = True\n",
    "        for key in subgraph_dictionary:\n",
    "            SubG = subgraph_dictionary[key]\n",
    "            edges = list(nx.edges(SubG))\n",
    "            if (u,v) in edges:\n",
    "                border = False\n",
    "        if border==True:\n",
    "            borderGraph.add_edge(u,v)\n",
    "\n",
    "    return borderGraph"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Returns the cut value of G based on the coloring of the nodes of G. The coloring is determined by the binary value of the nodes. Same color = 0, different color = 1\n",
    "\n",
    "def cutvalue(G):\n",
    "    \"\"\"Returns the cut value of G based on the coloring of the nodes of G\n",
    "    \n",
    "    Parameters\n",
    "    ----------\n",
    "    G: networkX.Graph \n",
    "        Graph with weighted edges and with binary value colors assigned to the vertices\n",
    "    \n",
    "    Returns\n",
    "    -------\n",
    "    int \n",
    "        cut value of the graph determined by the vertex colors and edge weights\n",
    "    \"\"\"  \n",
    "\n",
    "    cut = 0\n",
    "    for u, v in G.edges():\n",
    "        if G.nodes[u]['color'] != G.nodes[v]['color']: \n",
    "            cut+=G.edges[u,v]['weight']\n",
    "    return cut"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [],
   "source": [
    "def qaoa_for_graph(G, layer_count, shots, seed):\n",
    "    \"\"\"Function for finding the max cut of a graph using QAOA\n",
    "\n",
    "    Parameters\n",
    "    ----------\n",
    "    G: networkX graph\n",
    "        Problem graph whose max cut we aim to find\n",
    "    layer_count : int\n",
    "        Number of layers in the QAOA circuit\n",
    "    shots : int\n",
    "        Number of shots in the sampling subroutine\n",
    "    seed : int\n",
    "        Random seed for reproducibility of results\n",
    "\n",
    "    Returns\n",
    "    -------\n",
    "    str\n",
    "        Binary string representing the max cut coloring of the vertinces of the graph\n",
    "    \"\"\"\n",
    "    if nx.number_of_nodes(G) ==1 or nx.number_of_edges(G) ==0:\n",
    "        # The first condition implies the second condition so we really don't need\n",
    "        # to consider the case nx.number_of_nodes(G) ==1\n",
    "        results = ''\n",
    "        for u in list(nx.nodes(G)):\n",
    "            np.random.seed(seed)\n",
    "            random_assignment = str(np.random.randint(0, 1))\n",
    "            results+=random_assignment\n",
    "\n",
    "    else:\n",
    "        parameter_count: int = 2 * layer_count\n",
    "\n",
    "        # Problem parameters\n",
    "        nodes = sorted(list(nx.nodes(G)))\n",
    "        qubit_src = []\n",
    "        qubit_tgt = []\n",
    "        for u, v in nx.edges(G):\n",
    "            # We can use the index() command to read out the qubits associated with the vertex u and v.\n",
    "            qubit_src.append(nodes.index(u))\n",
    "            qubit_tgt.append(nodes.index(v))\n",
    "        # The number of qubits we'll need is the same as the number of vertices in our graph\n",
    "        qubit_count : int = len(nodes)\n",
    "        # Each layer of the QAOA kernel contains 2 parameters\n",
    "        parameter_count : int = 2*layer_count\n",
    "\n",
    "        optimal_parameters = find_optimal_parameters(G, layer_count, seed)\n",
    "\n",
    "        # Print the optimized parameters\n",
    "        print(\"Optimal parameters = \", optimal_parameters)\n",
    "\n",
    "        # Sample the circuit\n",
    "        counts = cudaq.sample(kernel_qaoa, qubit_count, layer_count, qubit_src, qubit_tgt, optimal_parameters, shots_count=shots)\n",
    "        print('Outcome = ',counts)\n",
    "        results = str(counts)\n",
    "        \n",
    "    return results\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [],
   "source": [
    "# QAOA Divide and Conquer: Divide the graph into subgraphs. Make it recursive and we will apply the divide stage of the algorithm to any subgraph that has more than 14 vertices\n",
    "\n",
    "# Function to return a dictionary of subgraphs of the input graph using the greedy modularity maximization algorithm\n",
    "\n",
    "# Weighted graph partitioning\n",
    "\n",
    "def subgraphpartition(G,n, name, globalGraph):\n",
    "    \"\"\"Divide the graph up into at most n subgraphs\n",
    "    \n",
    "    Parameters\n",
    "    ----------\n",
    "    G: networkX.Graph \n",
    "        Graph that we want to subdivivde which lives inside of or is equatl to globalGraph\n",
    "    n : int\n",
    "        n is the maximum number of subgraphs in the partition\n",
    "    name : str\n",
    "        prefix for the graphs (in our case we'll use 'Global')\n",
    "    globalGraph: networkX.Graph\n",
    "        original problem graph\n",
    "        \n",
    "    Returns\n",
    "    -------\n",
    "    dict of str : networkX.Graph\n",
    "        Dictionary of networkX graphs with a string as the key\n",
    "    \"\"\"\n",
    "    greedy_partition = community.greedy_modularity_communities(G, weight='weight', resolution=1.1, cutoff=1, best_n=n)\n",
    "    number_of_subgraphs = len(greedy_partition)\n",
    "\n",
    "    graph_dictionary = {}\n",
    "    graph_names=[]\n",
    "    for i in range(number_of_subgraphs):\n",
    "        subgraphname=name+':'+str(i)\n",
    "        graph_names.append(subgraphname)\n",
    "\n",
    "    for i in range(number_of_subgraphs):\n",
    "        nodelist = sorted(list(greedy_partition[i]))\n",
    "        graph_dictionary[graph_names[i]] = nx.subgraph(globalGraph, nodelist)\n",
    "     \n",
    "    return(graph_dictionary) "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Graph Global has 11 vertices.\n"
     ]
    }
   ],
   "source": [
    "num_qubits_subgraph = 14 # maximum number of vertices in a subgraph\n",
    "n = 12 # maximum number of subgraphs in a subgraph partitioning\n",
    "\n",
    "def recursive_partition(G,name, global_graph):\n",
    "    \"\"\"Divide the graph up into subgraphs of at most num_qubits vertices recursively\n",
    "\n",
    "    Parameters\n",
    "    ----------\n",
    "    G: networkX.Graph\n",
    "        Graph that we want to subdivide which is a subgraph of global_graph\n",
    "    name : str\n",
    "        prefix for the graphs (in our case we'll use 'Global')\n",
    "    global_graph : networkX.Graph\n",
    "        parent graph\n",
    "\n",
    "    Returns\n",
    "    -------\n",
    "    dict of str : networkX.Graph\n",
    "        Dictionary of networkX graphs with a string as the key\n",
    "    \"\"\"\n",
    "    if nx.number_of_nodes(G)<num_qubits_subgraph+1:\n",
    "        print('Graph',name,'has',len(nx.nodes(G)),'vertices.')\n",
    "    else:\n",
    "        max_num_subgraphs = min(n, nx.number_of_nodes(G))\n",
    "        new_subgraphs = subgraphpartition(G, max_num_subgraphs, name, global_graph)\n",
    "        for key in new_subgraphs:\n",
    "            recursive_partition(new_subgraphs[key],key, global_graph)\n",
    "\n",
    "# Apply the partitioning function to the sampleGraph3\n",
    "recursive_partition(sampleGraph3, 'Global', sampleGraph3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [],
   "source": [
    "# We want to swap colors in such a way that we can add as many of the edges of borderGraph into a cut of sampleGraph3 as possible without sacrificing too many edges from the unaltered cut\n",
    "# This new optimization problem involves deciding whether or not to flip the colors of each subgraph\n",
    "# For each possible color change of subgraphs, we'll compute a \"gain\" from changing the colors\n",
    "# This gain is the number of border edges added to the cut from the alteration minus the number of border edges originally in the unaltered cut that are no longer in the cut after the color change\n",
    "# We want to maximize this gain\n",
    "\n",
    "# Define the mergerGraph and color code the vertices\n",
    "# according to the subgraph that the vertex represents\n",
    "# we're collapsing all the vertices in a subgraph down to just one vertex in mergerGraph\n",
    "\n",
    "def createMergerGraph(border, subgraphs):\n",
    "    \"\"\"Build a graph containing a vertex for each subgraph\n",
    "    and edges between vertices are added if there is an edge between\n",
    "    the corresponding subgraphs\n",
    "\n",
    "    Parameters\n",
    "    ----------\n",
    "    border : networkX.Graph\n",
    "        Graph of connections between vertices in distinct subgraphs\n",
    "    subgraphs : dict of networkX graph with str as keys\n",
    "        The nodes of border should be a subset of the the graphs in the subgraphs dictionary\n",
    "\n",
    "    Returns\n",
    "    -------\n",
    "    networkX.Graph\n",
    "        Merger graph containing a vertex for each subgraph\n",
    "        and edges between vertices are added if there is an edge between\n",
    "        the corresponding subgraphs\n",
    "    \"\"\"\n",
    "    M = nx.Graph()\n",
    "\n",
    "    for u, v in border.edges():\n",
    "        subgraph_id_for_u = subgraph_of_vertex(subgraphs, u)\n",
    "        subgraph_id_for_v = subgraph_of_vertex(subgraphs, v)\n",
    "        if subgraph_id_for_u != subgraph_id_for_v:\n",
    "            M.add_edge(subgraph_id_for_u, subgraph_id_for_v)\n",
    "    return M\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Compute the penalties for edges in the supplied mergerGraph\n",
    "# for the subgraph partitioning of graph G\n",
    "\n",
    "def merger_graph_penalties(mergerGraph, subgraph_dictionary, G):\n",
    "    \"\"\"Compute penalties for the edges in the mergerGraph and add them\n",
    "    as edge attributes.\n",
    "    \n",
    "    Parameters\n",
    "    ----------\n",
    "    mergerGraph : networkX.Graph \n",
    "        Graph of connections between vertices in distinct subgraphs of G\n",
    "    subgraph_dictionary : dict of networkX graph with str as keys \n",
    "        subgraphs of G that are represented as nodes in the mergerGraph\n",
    "    G : networkX.Graph\n",
    "        graph whose vertices has an attribute 'color'\n",
    "    \n",
    "    Returns\n",
    "    -------\n",
    "    networkX.Graph\n",
    "        Merger graph containing penalties\n",
    "    \"\"\" \n",
    "    nx.set_edge_attributes(mergerGraph, int(0), 'penalty')\n",
    "    for i, j in mergerGraph.edges():\n",
    "        penalty_ij = 0\n",
    "        for u in nx.nodes(subgraph_dictionary[i]):\n",
    "            for neighbor_u in nx.all_neighbors(G, u):\n",
    "                if neighbor_u in nx.nodes(subgraph_dictionary[j]):\n",
    "                    if G.nodes[u]['color'] != G.nodes[neighbor_u]['color']:\n",
    "                        penalty_ij += G.edges[u,neighbor_u]['weight']\n",
    "                    else:\n",
    "                        penalty_ij += -G.edges[u,neighbor_u]['weight']\n",
    "        mergerGraph[i][j]['penalty'] = penalty_ij\n",
    "    return mergerGraph"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Define the Hamiltonian for applying QAOA during the merger stage\n",
    "# The variables s_i are defined so that s_i = 1 means we will not flip the subgraph Gi's colors and s_i = -1 means we will flip the colors of subgraph G_i\n",
    "\n",
    "def mHamiltonian(merger_edge_src, merger_edge_tgt, penalty):\n",
    "    \"\"\"Hamiltonian for finding the optimal swap schedule for the subgraph partitioning encoded in the merger graph\n",
    "\n",
    "    Parameters\n",
    "    ----------\n",
    "    merger_edge_src: List[int]\n",
    "        list of the source vertices of edges of a graph\n",
    "    merger_edge_tgt: List[int]\n",
    "        list of target vertices of edges of a graph\n",
    "    penalty: List[int]\n",
    "        list of penalty terms associated with the edge determined by the source and target vertex of the same index\n",
    "\n",
    "    Returns\n",
    "    -------\n",
    "    cudaq.SpinOperator\n",
    "        Hamiltonian for finding the optimal swap schedule for the subgraph partitioning encoded in the merger graph\n",
    "    \"\"\"\n",
    "    mergerHamiltonian = 0\n",
    "\n",
    " # Add Hamiltonian terms for edges within a subgraph that contain a border element\n",
    "    for i in range(len(merger_edge_src)):\n",
    "        # Add a term to the Hamiltonian for the edge (u,v)\n",
    "        qubitu = merger_edge_src[i]\n",
    "        qubitv = merger_edge_tgt[i]\n",
    "        mergerHamiltonian+= -penalty[i]*(spin.z(qubitu))*(spin.z(qubitv))\n",
    "    return mergerHamiltonian"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Next we define some functions to keep track of the unaltered cuts\n",
    "# (recorded as unaltered_colors) and the merged cuts (recorded as new_colors).\n",
    "# The new_colors are derived from flipping the colors of all the nodes in a subgraph based on the flip_colors variable which\n",
    "# captures the solution to the merger QAOA problem.\n",
    "\n",
    "def unaltered_colors(G, graph_dictionary, max_cuts):\n",
    "    \"\"\"Adds colors to each vertex, v, of G based on the color of v in the subgraph containing v which is\n",
    "    read from the max_cuts dictionary\n",
    "\n",
    "    Parameters\n",
    "    ----------\n",
    "    G : networkX.Graph\n",
    "        Graph with vertex color attributes\n",
    "    subgraph_dictionary : dict of networkX graph with str as keys\n",
    "        subgraphs of G\n",
    "    max_cuts : dict of str\n",
    "        dictionary of node colors for subgraphs in the subgraph_dictionary\n",
    "\n",
    "    Returns\n",
    "    -------\n",
    "    networkX.Graph, str\n",
    "        returns G with colored nodes\n",
    "    \"\"\"\n",
    "    subgraphColors={}\n",
    "\n",
    "\n",
    "    for key in graph_dictionary:\n",
    "        SubG = graph_dictionary[key]\n",
    "        print('SubG nodes:', SubG.nodes())\n",
    "        sorted_subgraph_nodes = sorted(list(nx.nodes(SubG)))\n",
    "        for v in sorted_subgraph_nodes:\n",
    "            G.nodes[v]['color']=max_cuts[key][sorted_subgraph_nodes.index(v)]\n",
    "    # returns the input graph G with a coloring of the nodes based on the unaltered merger\n",
    "    # of the max cut solutions of the subgraphs in the graph_dictionary\n",
    "    return G\n",
    "\n",
    "def new_colors(graph_dictionary, G, mergerGraph, flip_colors):\n",
    "    \"\"\"For each subgraph in the flip_colors list, changes the color of all the vertices in that subgraph\n",
    "    and records this information in the color attribute of G\n",
    "\n",
    "    Parameters\n",
    "    ----------\n",
    "    graph_dictionary : dict of networkX graph with str as keys\n",
    "        subgraphs of G\n",
    "    G : networkX.Graph\n",
    "        Graph with vertex color attributes\n",
    "    mergerGraph: networkX.Graph\n",
    "        Graph whose vertices represent subgraphs in the graph_dictionary\n",
    "    flip_colors : dict of str\n",
    "        dictionary of binary strings for subgraphs in the subgraph_dictionary\n",
    "        key:0 indicates the node colors remain fixed in subgraph called key\n",
    "        key:1 indicates the node colors should be flipped in subgraph key\n",
    "\n",
    "    Returns\n",
    "    -------\n",
    "    networkX.Graph, str\n",
    "        returns G with the revised vertex colors\n",
    "    \"\"\"\n",
    "    flipGraphColors={}\n",
    "    mergerNodes = sorted(list(nx.nodes(mergerGraph)))\n",
    "    for u in mergerNodes:\n",
    "        indexu = mergerNodes.index(u)\n",
    "        flipGraphColors[u]=int(flip_colors[indexu])\n",
    "\n",
    "    for key in graph_dictionary:\n",
    "        if flipGraphColors[key]==1:\n",
    "            for u in graph_dictionary[key].nodes():\n",
    "                G.nodes[u]['color'] = str(1 - int(G.nodes[u]['color']))\n",
    "\n",
    "    revised_colors = ''\n",
    "    for u in sorted(G.nodes()):\n",
    "        revised_colors += str(G.nodes[u]['color'])\n",
    "\n",
    "    return G, revised_colors"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {},
   "outputs": [],
   "source": [
    "# A function to carry out QAOA during the merger stage of the\n",
    "# divide-and-conquer QAOA algorithm for graph G, its subgraphs (graph_dictionary)\n",
    "# and merger_graph\n",
    "\n",
    "def merging(G, graph_dictionary, merger_graph):\n",
    "    \"\"\"\n",
    "    Using QAOA, identify which subgraphs should be in the swap schedule (e.g. which subgraphs will require\n",
    "    flipping of the colors when merging the subgraph solutions into a solution of the graph G\n",
    "\n",
    "    Parameters\n",
    "    ----------\n",
    "    G : networkX.Graph\n",
    "        Graph with vertex color attributes\n",
    "    graph_dictionary : dict of networkX graph with str as keys\n",
    "        subgraphs of G\n",
    "    mergerGraph : networkX.Graph\n",
    "        Graph whose vertices represent subgraphs in the graph_dictionary\n",
    "\n",
    "    Returns\n",
    "    -------\n",
    "    str\n",
    "        returns string of 0s and 1s indicating which subgraphs should have their colors swapped\n",
    "    \"\"\"\n",
    "\n",
    "    merger_graph_with_penalties = merger_graph_penalties(merger_graph,graph_dictionary, G)\n",
    "    # In the event that the merger penalties are not trivial, run QAOA, else don't flip any graph colors\n",
    "    if (True in (merger_graph_with_penalties[u][v]['penalty'] != 0 for u, v in nx.edges(merger_graph_with_penalties))):\n",
    "\n",
    "        penalty = []\n",
    "        merger_edge_src = []\n",
    "        merger_edge_tgt = []\n",
    "        merger_nodes = sorted(list(merger_graph_with_penalties.nodes()))\n",
    "        for u, v in nx.edges(merger_graph_with_penalties):\n",
    "            # We can use the index() command to read out the qubits associated with the vertex u and v.\n",
    "            merger_edge_src.append(merger_nodes.index(u))\n",
    "            merger_edge_tgt.append(merger_nodes.index(v))\n",
    "            penalty.append(merger_graph_with_penalties[u][v]['penalty'])\n",
    "\n",
    "        merger_Hamiltonian = mHamiltonian(merger_edge_src, merger_edge_tgt, penalty)\n",
    "\n",
    "        # Run QAOA on the merger subgraph to identify which subgraphs\n",
    "        # if any should change colors\n",
    "        layer_count_merger = 2 # set arbitrarily\n",
    "        parameter_count_merger: int = 2 * layer_count_merger\n",
    "        nodes_merger = sorted(list(nx.nodes(merger_graph)))\n",
    "        merger_edge_src = []\n",
    "        merger_edge_tgt = []\n",
    "        for u, v in nx.edges(merger_graph_with_penalties):\n",
    "            # We can use the index() command to read out the qubits associated with the vertex u and v.\n",
    "            merger_edge_src.append(nodes_merger.index(u))\n",
    "            merger_edge_tgt.append(nodes_merger.index(v))\n",
    "        # The number of qubits we'll need is the same as the number of vertices in our graph\n",
    "        qubit_count_merger : int = len(nodes_merger)\n",
    "\n",
    "        # Specify the optimizer and its initial parameters. Make it repeatable.\n",
    "        cudaq.set_random_seed(12345)\n",
    "        optimizer_merger = cudaq.optimizers.NelderMead()\n",
    "        np.random.seed(4321)\n",
    "        optimizer_merger.initial_parameters = np.random.uniform(-np.pi, np.pi,\n",
    "                                                     parameter_count_merger)\n",
    "        optimizer_merger.max_iterations=150\n",
    "        # Pass the kernel, spin operator, and optimizer to `cudaq.vqe`.\n",
    "        optimal_expectation, optimal_parameters = cudaq.vqe(\n",
    "            kernel=kernel_qaoa,\n",
    "            spin_operator=merger_Hamiltonian,\n",
    "            argument_mapper=lambda parameter_vector: (qubit_count_merger, layer_count_merger, merger_edge_src, merger_edge_tgt, parameter_vector),\n",
    "            optimizer=optimizer_merger,\n",
    "            parameter_count=parameter_count_merger,\n",
    "            shots = 10000)\n",
    "\n",
    "        # Sample the circuit using the optimized parameters\n",
    "        # Sample enough times to distinguish the most_probable outcome for\n",
    "        # merger graphs with 12 vertices\n",
    "        sample_number=30000\n",
    "        counts = cudaq.sample(kernel_qaoa, qubit_count_merger, layer_count_merger, merger_edge_src, merger_edge_tgt, optimal_parameters, shots_count=10000)\n",
    "        mergerResultsString = str(counts)\n",
    "\n",
    "    else:\n",
    "        mergerResultsList = [0]*nx.number_of_nodes(merger_graph)\n",
    "        mergerResultsString = ''.join(str(x) for x in mergerResultsList)\n",
    "        print('Merging stage is trivial')\n",
    "    return mergerResultsString\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {},
   "outputs": [],
   "source": [
    "def subgraph_solution(G, key, vertex_limit, subgraph_limit, layer_count, global_graph,seed ):\n",
    "    \"\"\"\n",
    "    Recursively finds max cut approximations of the subgraphs of the global_graph\n",
    "    Parameters\n",
    "    ----------\n",
    "    G : networkX.Graph\n",
    "        Graph with vertex color attributes\n",
    "    key : str\n",
    "        name of subgraph\n",
    "    vertex_limit : int\n",
    "        maximum size of graph to which QAOA will be applied directly\n",
    "    subgraph_limit : int\n",
    "        maximum size of the merger graphs, or maximum number of subgraphs in any subgraph decomposition\n",
    "    layer_count : int\n",
    "        number of layers in QAOA circuit for finding max cut solutions\n",
    "    global_graph : networkX.Graph\n",
    "        the parent graph\n",
    "    seed : int\n",
    "        random seed for reproducibility\n",
    "\n",
    "    Returns\n",
    "    -------\n",
    "    str\n",
    "        returns string of 0s and 1s representing colors of vertices of global_graph for the approx max cut solution\n",
    "    \"\"\"\n",
    "    # create a results dictionary to store the results of the subgraph solutions\n",
    "    results = {}\n",
    "    seed +=1\n",
    "    # Find the max cut of G using QAOA, provided G is small enough\n",
    "    if nx.number_of_nodes(G)<vertex_limit+1:\n",
    "        print('Working on finding max cut approximations for ',key)\n",
    "\n",
    "        result =qaoa_for_graph(G, seed=seed, shots = 10000, layer_count=layer_count)\n",
    "        results[key]=result\n",
    "        # color the global graph's nodes according to the results\n",
    "        nodes_of_G = sorted(list(G.nodes()))\n",
    "        for u in G.nodes():\n",
    "            global_graph.nodes[u]['color']=results[key][nodes_of_G.index(u)]\n",
    "        return result\n",
    "\n",
    "    else: # Recursively apply the algorithm in case G is too big\n",
    "        # Divide the graph and identify the subgraph dictionary\n",
    "        subgraph_limit =min(subgraph_limit, nx.number_of_nodes(G) )\n",
    "        subgraph_dictionary = subgraphpartition(G,subgraph_limit, str(key), global_graph)\n",
    "\n",
    "        # Conquer: solve the subgraph problems recursively\n",
    "        for key in subgraph_dictionary:\n",
    "            results[key]=subgraph_solution(subgraph_dictionary[key], key, vertex_limit, subgraph_limit, \\\n",
    "                                            layer_count, global_graph, seed )\n",
    "            print(results)\n",
    "        \n",
    "        print('Found max cut approximations for ', list(subgraph_dictionary))\n",
    "\n",
    "\n",
    "        # Color the nodes of G to indicate subgraph max cut solutions\n",
    "        G = unaltered_colors(G, subgraph_dictionary, results)\n",
    "        unaltered_cut_value = cutvalue(G)\n",
    "        print('prior to merging, the max cut value of',key,'is', unaltered_cut_value)\n",
    "\n",
    "        # Merge: merge the results from the conquer stage\n",
    "        print('Merging these solutions together for a solution to',key)\n",
    "        # Define the border graph\n",
    "        bordergraph = border(G, subgraph_dictionary)\n",
    "        # Define the merger graph\n",
    "        merger_graph = createMergerGraph(bordergraph, subgraph_dictionary)\n",
    "\n",
    "        try:\n",
    "            # Apply QAOA to the merger graph\n",
    "            merger_results = merging(G, subgraph_dictionary, merger_graph)\n",
    "            print(merger_results)\n",
    "        except:\n",
    "            # In case QAOA for merger graph does not converge, don't flip any of the colors for the merger\n",
    "            mergerResultsList = [0]*nx.number_of_nodes(merger_graph)\n",
    "            merger_results = ''.join(str(x) for x in mergerResultsList)\n",
    "            print('Merging subroutine opted out with an error for', key)\n",
    "\n",
    "        # Color the nodes of G to indicate the merged subgraph solutions\n",
    "        alteredG, new_color_list = new_colors(subgraph_dictionary, G, merger_graph, merger_results)\n",
    "        newcut = cutvalue(alteredG)\n",
    "        print('the merger algorithm produced a new coloring of',key,'with cut value,',newcut)\n",
    "\n",
    "        return new_color_list, newcut\n",
    "   "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Working on finding max cut approximations for  Global\n",
      "Optimal parameters =  [2.1845478260471833, 2.676554658602851]\n",
      "Outcome =  { 11111111110:122 11111111000:5 11111110111:130 11111110101:22 11111110100:1 11111110001:1 11111110000:2 11111101111:129 11111101101:17 11111101100:1 11111101000:3 11111100101:2 11111100011:3 11111100010:2 11111100000:6 11111011111:140 11111011101:18 11111011011:15 11111011001:1 11111010111:17 11111010100:3 11111010010:4 11111001111:11 11111001011:1 11111001010:2 11111001001:3 11111001000:6 11111000111:5 11111000110:3 11111000100:3 11111000010:3 11111000001:2 11111000000:2 11110111101:15 11110111010:3 11110111001:2 11110110100:4 11110110000:2 11110101111:11 11110101110:5 11110101101:3 11110101011:1 11110101010:1 11110101000:4 11110100101:3 11110100010:2 11110100001:3 11110100000:2 11110011111:17 11110011101:2 11110011100:1 11110011010:2 11110010100:1 11110010011:2 11110010000:3 11110001100:4 11110001011:1 11110000111:1 11110000110:1 11110000011:2 11110000010:4 11110000000:2 11101111100:2 11111001110:3 11101111001:2 11111111011:137 11101110100:3 11101100100:2 11101100010:2 11101100000:1 11111000011:2 11101011101:2 11101011100:1 11101011001:3 11101011000:3 11101010101:3 11101010010:3 11101010001:2 11101001100:1 11101001011:4 11101000100:1 11101000010:1 11100111101:2 11100111100:3 11100111010:4 11100111000:1 11100101110:2 11100101000:1 11100100011:6 11110011001:2 11100100010:3 11100100001:2 11100011110:3 11100011100:2 11100011011:4 11100011010:1 11100011001:3 11100011000:1 11100010011:1 11100010001:1 11100001110:1 11100001011:1 11100001001:5 11100000111:1 11100000011:3 11100000001:3 11011111111:128 11011111101:24 11011111011:18 11101010110:2 11101000101:2 11011111000:2 11011110101:2 11011110100:1 11011110011:4 11011110010:4 11101010111:2 11011110000:1 11101100101:3 11011101100:4 11011101010:5 11011100101:4 11011100011:5 11011011111:15 11011011100:2 11011011010:2 11011011000:4 11011010111:1 11011010100:2 11011010011:1 11011010010:4 11011010000:1 11011001110:2 11011001010:2 11011001001:1 11011001000:1 11100101011:2 11011000100:2 11011000011:2 11011000001:4 11010111111:15 11010111101:2 11010111011:1 11010111001:1 11010111000:2 11100110111:4 11010110110:2 11010110101:2 11010110100:3 11010110010:2 11010110001:1 11010110000:2 11010101111:4 11010101110:3 11010101011:1 11010101001:1 11010011100:2 11010011001:2 11010011000:5 11010010111:4 11010010101:2 11010010011:2 11010010010:1 11010010001:1 11010001100:2 11010001011:2 11010001010:6 11101101111:15 11010000111:2 11101101100:3 11010000110:2 11010000100:4 11010000011:2 11001111111:22 11100101001:2 11001111101:2 11001111010:8 11001110111:1 11001110100:1 11001110011:2 11011111100:1 11001101100:4 11100010110:1 11001101010:5 11101010000:2 11001101001:3 11001100110:4 11001100101:4 11001100010:5 11110110111:16 11001100001:1 11001011110:6 11001011100:1 11001011001:8 11001011000:4 11001010110:5 11001010101:2 11010011110:2 11001010001:1 11111010011:1 11001010000:2 11001001111:3 11001001110:1 11001001011:5 11001001000:2 11001000111:3 11001000110:2 11001000101:2 11001000011:5 11001011101:4 11001000010:4 11001000001:4 11000111011:2 11000111010:3 11000111001:1 11000111000:4 11000110111:2 11101111111:125 11000110011:1 11000110010:1 11010101010:4 11000101111:6 11000100111:9 11111110110:8 11000100110:3 11000100101:1 11000100011:1 11000100010:5 11010011011:3 11000011111:9 11000011110:3 11000011100:1 11000011011:1 11110100111:3 11000011010:4 11000011000:3 11011011110:3 11000010111:2 11000010001:4 11000001111:2 11000001110:1 11000001101:1 11011001111:2 11000001100:3 11000000100:1 11100010101:3 11000000011:2 11000000010:1 10111111111:125 10111111110:17 10111111011:18 10111111010:1 10111111001:4 10111111000:1 10111110111:19 10111110110:1 10111110010:1 10111101101:1 10111101001:6 10111100101:4 11011100111:3 10111100010:1 10111100000:3 10111011110:2 10111011101:1 10111011000:2 10111010110:5 10111010011:4 10111010010:3 10111001111:2 10111001101:3 10111100110:1 10111001100:2 10111001010:1 10111000111:4 10111000110:3 10111000101:3 10111000011:2 11101110011:3 10111000001:3 10110111111:8 10110111011:1 10110111000:1 10110110111:1 11110100011:4 10110110110:3 10110110100:1 10110110010:1 10110101111:2 10110101110:2 10110101101:1 11110001000:1 10110101011:2 10110101010:3 10110100111:2 10110100110:4 10110100101:1 10110100000:2 10110011110:1 10110011101:3 10110011100:2 11111111100:14 11000001000:3 10110011000:3 10110010110:1 10110010101:2 10110010010:3 11010111100:2 10110001111:2 10110001011:3 10110001000:2 10110010001:3 10110000111:6 11000101011:3 10110000110:1 10110000101:1 10110000100:1 10110000001:3 11000111101:3 10110000000:2 11101101110:1 10101111111:20 10110111010:1 10101111100:1 10101111001:4 11010101101:2 11001111110:4 10101110100:3 11001111000:6 10101110011:4 10101110001:1 10101110000:3 10101101100:3 10101101010:3 10101101001:4 11100101101:4 10101100111:3 10101100011:3 10101011111:2 11000101110:4 10101011110:3 10101011101:5 10101011011:4 10101011000:1 10101010110:1 10101010100:3 10101010011:3 10101010010:2 10101010001:1 10101010000:4 10101001110:3 11110111110:18 10101001101:1 10101001100:4 11010011101:5 10101001011:2 11110110010:4 10101001001:3 10101001000:3 10101000110:2 10101000011:2 11110111011:17 10101000010:2 10101000001:2 10100111110:1 10100111101:4 10100111100:1 10100111011:6 10100111001:2 11001010010:3 10100111000:4 11100101010:3 10100110111:2 11110100110:3 10100110110:2 11100001101:1 10100110101:3 10100110100:2 10100110010:2 10100110001:5 10100101101:2 11101101101:1 10100101100:2 10100101011:1 10100101010:1 10100101001:1 10100101000:2 10110101000:3 10100100111:3 10100100110:2 10100100011:3 10100100010:2 10100100000:2 10100011111:3 11000100001:4 10100011110:3 10100011101:4 10100011100:1 10100011010:4 10100011001:1 11011100001:1 10100010100:4 10100010001:3 10100001110:1 10100001101:3 11000101001:1 10100001010:2 10110101100:3 10100001000:2 10100000111:3 10100000110:1 10100000101:1 10100000100:2 10100000011:5 10100000010:1 10011111111:11 10011111011:1 11010100001:1 10011111010:1 10011111000:3 10011110110:3 10011110101:1 10011110011:2 10011110010:2 10011110001:2 10011110000:3 10110011001:1 01001100110:1 10111010001:1 01001100100:4 01001100010:4 01001100001:5 00100100110:1 01001011001:2 11101111011:25 01001010111:1 11010001001:2 00011011001:3 11001010011:4 01101101000:1 01001010000:1 00011011010:5 01111010010:5 01001001010:1 00011001000:3 01010101000:2 01110101001:1 10100100100:3 01001010100:5 01001000110:2 01001000101:1 00011011101:2 01101100011:1 11011101000:3 01000111100:3 00111111111:13 00000100000:124 01000110110:4 01000110010:2 01000110000:5 10101000111:4 01001011111:2 01000101001:3 01000101000:1 01000100111:1 01000100101:1 00011110001:2 10101101101:3 10100010101:2 01100100000:3 01000010100:1 00110100111:2 10100001001:4 01000011011:3 01000011010:1 11101001101:5 11010100100:1 10101101011:1 01000011001:2 10100011000:2 00011101110:1 11101011111:14 01110011011:3 01000010011:2 01000010000:17 00111000010:2 00010110100:3 01000001011:2 01100111101:2 10011001001:2 11100110010:4 01010101001:3 10000100101:2 11001110000:2 01000100100:2 11111001101:2 01111111111:153 01000000011:3 11100110110:1 11011100010:3 01000111000:2 01000011101:4 10001101001:3 00000111100:3 00111111000:3 11001100000:3 10011010100:1 11111110010:2 11101101011:1 10111111101:13 10111001110:4 01101110011:1 10000011010:3 11111111101:120 00111101111:1 10001111011:2 01000100000:15 00111100101:1 00111100100:4 00011010101:3 01000111110:3 11101100011:2 01011111101:1 10110110000:2 00111011101:5 01111010001:2 01000000111:2 00011111000:2 00111011100:1 10101110110:5 01111001101:4 00111011011:2 01000110100:1 00000110000:17 01010100111:1 11011111010:2 01001010010:5 00111011010:1 11110011011:2 11101000111:4 10110001001:5 00110101110:1 00111010101:1 00100001010:2 00111010100:2 01001010011:1 10100010000:1 00000001000:123 11000010010:2 00111001011:1 10111100001:3 01101101100:2 00111001000:4 10100001011:2 00000111001:1 11110011110:1 00111000100:5 00111000000:4 11000101000:1 01010100000:3 10101100000:7 00110111000:1 11001100100:2 10011101111:1 01111000100:3 10111101010:2 10000010110:2 00110110110:1 00110010000:1 01011000001:4 00110110101:2 00110110100:3 11100100100:1 01100010011:5 00110101111:6 00110101000:3 01101010111:7 01001100011:2 11000000000:18 01100110101:1 01001011100:1 00110100101:3 11011000111:1 01000111101:4 00110010011:1 00101001011:2 01000010101:3 11111000101:4 10011100111:3 00110100100:3 00000000111:1 01010000010:3 00101001110:3 10001100110:1 01110110100:2 10010010101:3 00110100010:2 00110111010:1 01100110001:2 00101100101:2 11010000001:2 00110100011:1 01110010010:3 01010001001:3 00110011010:3 00110010110:3 01010001101:4 01101001111:5 11101100110:2 00110011111:1 11011101011:1 10001000011:2 10011100000:4 00110010001:3 00110001110:2 00000000110:16 11100001111:4 00110001011:1 00110001010:1 00110000011:4 01110111100:2 10110001100:1 00110000001:3 00101111111:1 00011100011:2 10111110001:3 01100111010:1 01111111101:20 11100010100:2 00101111110:2 00101111011:4 10001100101:3 11100110000:3 10111010100:4 01001011000:3 00100111000:1 00101110101:1 00111111010:1 10000101001:2 00101101111:1 01101001011:2 00101101110:3 10001010100:3 00101101100:4 11010001000:1 00101101011:2 10110100010:1 00000110011:2 00100100000:16 00101101001:3 01010101101:3 00101100010:3 11011100110:1 01000010110:3 00101100001:1 00011000111:1 10000011110:1 01100101110:1 11110100100:4 00011100001:1 01000100110:2 00101011111:4 10010011100:4 00101101000:2 01111000010:2 00101011001:1 10000110010:2 00101010110:5 00000101001:4 00101010100:3 11011111110:11 11011110110:2 01011110001:4 10001100011:2 00101010001:1 11011100100:2 01000010010:1 10000001000:9 00101010000:1 01011001010:3 00011101000:3 10010101101:1 01000110011:3 11011000101:5 00101001101:4 00101011000:1 01100100110:1 11001000100:4 10010011111:4 00111101001:2 00101100000:1 01011010011:2 10010001111:3 00111110110:5 01110110001:3 11111100110:1 00101000010:1 01010100101:2 10000000101:3 10010010010:3 00100111110:1 00110110011:3 10100101111:2 01101111110:1 10110011111:1 01111000110:2 01111100110:1 10101010101:2 01001101000:2 10111100100:2 00100111100:2 00011010001:1 11101000001:1 11011110111:23 00111110101:3 11101011010:1 00010110111:2 00100110010:3 10000100011:3 00101010111:2 00100110000:1 01101010100:4 10010111001:2 00100101101:4 10110010011:1 10000101101:3 10100001100:4 00100101010:2 00100100111:2 00000101110:3 00010001100:1 00010000111:2 11001110101:4 01001010101:1 00111011110:7 00011010110:2 11101101010:3 00110000110:4 00011111110:3 00001111110:2 00100110111:2 00000100111:1 11010011010:1 00000001110:1 00100001000:26 10110111100:4 00011110110:2 00111010011:1 00111100000:1 00110011110:1 00100110011:2 10000000000:131 00000100110:2 01011101000:3 00001100100:3 10000110111:3 10000111010:2 00110000101:3 01001000111:2 01001100101:1 00011011111:2 10000011001:3 10000011100:1 00111100011:3 00011010000:1 01000001110:2 00101100111:3 01010001100:2 01011001000:2 00010111101:3 00011100010:5 00101111101:2 01100011111:3 10010000010:2 00101001100:3 01000000100:18 00000100001:20 00001100011:6 01111011100:2 10000111111:1 11000110110:2 01101000100:4 11000101100:1 00000100010:19 01111110011:1 01000111011:2 00101000110:1 01101110100:1 00111101101:3 00111111101:4 00100101000:1 00001000100:13 10010000101:1 01110101101:5 11110011000:2 11101110101:2 00101001001:1 11000100000:2 01110101000:2 11010010110:6 00001100110:5 00001011001:4 00000110101:4 01001101111:5 01110100010:2 00011011110:1 01011000101:2 00011110100:1 00110111111:1 00001110101:3 01100001101:2 10011011101:5 11011100000:2 00001010000:21 00011000010:2 01101010110:2 01110010011:4 01000101101:3 01010100010:2 00011001001:1 10100110000:1 01110000000:1 01111011011:1 10101010111:4 00010010011:1 00100010111:1 10010000000:11 01001000001:2 00001101000:6 00010000000:123 01000010111:1 00010110110:2 11101000000:2 00011101010:3 00101000000:16 11010000000:3 01110000010:1 00011000110:4 00011111101:2 01110010110:1 00001010001:3 00001011101:4 00010010111:2 01010011101:4 01011100010:3 01010010101:1 00110101001:2 10111110100:8 10001001010:4 00001000011:1 00001000010:14 11111011010:1 01010011010:1 01001100111:3 10010101001:3 11100000101:3 01100110111:5 11111111001:12 01000010001:2 10011111100:5 00000011100:1 01100010001:1 10001011011:2 11101110000:4 00110010010:1 00100100001:1 00001001010:2 11010100101:2 01110110010:1 01001011011:3 00000110100:1 00000011011:3 10110100011:1 01101110001:3 00001010011:4 01000011100:2 00010110101:2 11111111010:17 10000100001:1 00100100100:1 10100111111:1 00001111100:2 00001001110:2 01100001000:4 11110101100:4 01000000010:15 00101111010:2 00000100100:14 01011000000:2 00000000100:127 10010101011:1 11010000010:4 00001101111:4 01101101111:1 00010110000:2 00010001110:1 00011010111:5 00001100101:3 10111110000:2 01010101011:1 11101101001:2 00010000100:10 00100011011:3 00000101100:1 11100111011:3 01010011111:4 00010010000:20 01000100010:4 01000001000:20 00000011101:7 11111011110:20 10001010000:3 01001110111:3 00010000001:19 10111101000:2 00001110111:2 00110010111:2 00000010011:2 10010111010:3 00001101100:4 10010100011:2 00111101010:3 00010101001:6 11101000110:4 01101110000:3 01001010110:4 11110110110:1 01111111010:1 11001100111:1 00110010100:1 10100010110:2 00000001111:1 11101111010:1 10111001000:3 01000101110:3 00011100100:1 00110001100:3 00011011100:2 11001110010:2 01010000100:3 10111100011:5 00010110001:5 00110110000:3 00001101001:4 00000101000:17 10000001001:1 10011101110:6 00110100000:4 00001000111:3 11000001010:4 00000000101:24 01001111000:3 11111101110:12 11101000011:3 00010010010:2 00111101000:3 01101111111:19 01000111001:1 00100110101:4 00010100001:2 00000010111:2 01001111011:5 01011111000:3 11100000110:2 01001100000:2 00100100010:2 00100011010:2 00011000100:1 11011010110:2 01010110100:2 01110011001:3 00000010100:18 01111111110:18 10010110101:5 00001100111:2 11001010100:6 00010000010:21 00010011111:1 00010001111:4 00001010100:1 00000001100:21 11101101000:6 01001001111:5 00001110110:3 00000111101:1 01110100001:1 01100000001:1 00000000000:635 11101110001:2 00111010110:3 01001111111:1 00111001100:4 00000000001:100 00100001111:4 00110111100:1 00011001101:3 01011110101:5 01110101100:2 00000001001:12 11000000110:3 01100111110:4 10010001110:3 00110111001:4 10110101001:4 01001001100:3 00000101111:6 00111000101:1 10010101010:3 00000010001:19 01111101010:2 10010111011:1 10011100010:1 00000110110:1 11000110000:2 11000010011:3 01101001010:2 00100000010:22 00001011000:2 00001111010:2 00101000011:3 00110100001:1 11111011000:1 01011000110:2 10010100101:2 00101101101:3 00111101110:4 01111101100:4 11001011111:2 00000001011:3 01100011100:2 00111001001:2 00101101010:3 00000100011:2 00101110011:1 11111111111:657 10001011010:2 00011101001:3 01001011101:2 00000111110:1 10011111101:2 00000011000:14 01010111101:1 11111110011:15 11100010000:4 10000000001:11 00010001001:2 01110001111:3 11101110010:4 00001000001:15 01111001001:1 00100000110:6 01001000100:1 10011001000:1 01010000000:10 11010101100:3 01110010001:3 00110011000:4 00010000110:3 00000101011:2 00100110100:2 00100110110:2 00001111011:3 10000100000:16 11000101010:2 00001010111:2 11001011011:2 00000111000:1 01000101100:2 01101010101:1 00111000011:2 11110111111:129 11101111101:21 00010101110:2 00110011100:2 01101011101:4 00100000001:11 00010001010:1 00001111101:3 00100010110:1 10111010000:3 01110110110:2 10001111001:3 00000110111:6 11110110001:1 01000001010:2 01010010111:4 01110100111:6 11101010100:1 00010100111:1 00011001111:1 00010001011:4 01001111101:4 00101011011:2 01100111100:3 01001001110:2 11001101110:2 00100000101:1 10101001010:1 00000001010:16 10110110001:3 01010010001:1 00100010011:1 00010011001:1 00111000111:4 00000011111:5 00110000010:3 01101111001:3 11110001101:2 00001001011:2 10010011010:1 00010010001:1 10011101010:1 00010010101:3 00110000100:1 00010010110:4 00111111100:1 11100000100:6 01101100010:4 10110001010:3 10001100001:2 00010001000:13 00011110010:2 00010011010:1 10101100100:2 10001010001:2 00100000000:106 00001110100:2 00011001100:2 00110001000:2 01000101111:1 01001001001:4 00100011101:1 00010011110:3 01000001001:2 10000111110:2 11011000010:2 01000100011:1 01001000011:2 00110011101:1 00000010000:127 00101010011:1 00110101010:1 00011100101:2 11011101111:9 01000001101:4 00010100000:20 00001000000:121 10001001011:1 00010100010:2 01010111011:2 01000001111:1 01011011111:3 00010101100:3 00011101011:4 11001001001:5 00010101111:1 00100010000:16 01010010110:2 00010110010:2 11100111001:6 00110110010:2 10000000010:16 00111111001:4 00100111001:4 00001110010:3 01011011110:7 00011111001:4 11100110001:1 10010110100:2 00110010101:2 00001110001:3 10000010111:2 10010011000:8 00010111000:3 00101000101:2 00000011110:4 01101010010:2 11110000101:3 00010111001:2 00000101101:1 11011000110:2 01001111010:1 00010111011:1 11111010000:2 00101001000:3 10000100100:3 00010111100:4 00100111111:2 10011101101:1 00111100111:3 00100011000:2 01001110100:3 00111100110:4 11101100111:4 00111101011:3 00110001001:2 10100111010:1 00101011010:2 11100100101:1 10001110001:3 00011000000:20 00011000011:3 00111001010:2 00011001010:2 11001001101:9 00011001011:3 00000000010:109 01011000111:4 00111100010:4 00011010010:2 10001100000:2 00001110011:2 00110101011:1 00100101011:4 01111011010:3 00011011000:3 10111001011:4 00011100000:1 00101100100:1 11100001100:6 00101001010:3 00010111010:3 00011101100:2 00011010100:1 10000010010:2 00111101100:1 00000111111:1 00011110000:2 00001000101:4 01100110011:1 00100011100:4 00111011001:4 11100000010:4 10110000010:2 00100110001:5 10010101100:1 00011111100:3 01111110101:1 00100000100:22 10001111100:3 00110001111:2 00011111111:3 00100010100:2 01001000000:10 00000110010:5 10100010010:4 01001101110:7 01011001101:4 00101010101:1 00000011010:1 11001010111:2 01110010000:1 11110101001:4 00100001100:3 00111000001:3 00100010010:3 10111010101:2 00001001000:9 01101111011:1 01000101011:3 00001010010:4 00101111000:3 11111100111:19 00000101010:1 10010010000:2 00100100101:2 01101101110:3 11110111000:4 00001101101:1 01110110011:3 00110000000:21 01001101100:1 11011001101:2 10000000111:1 00101111001:3 00000010010:21 00100001011:2 01001101101:2 11101010011:1 01001110000:4 01001110001:2 01111001110:4 01001110010:2 01001110011:3 11110010001:1 11100111111:14 00100001101:2 01001111001:2 11100110011:2 00010111111:4 01011110000:2 01110011100:1 00110001101:2 01001111110:2 01110110000:3 11111101011:21 10100101110:2 01010000001:2 01111011101:3 01010000011:2 01001001011:2 01010000101:3 10001101110:3 01010010000:2 00110101100:4 01010101110:1 01011001011:3 10000111001:3 00010101010:3 01010000111:1 01011101101:4 01010001011:2 00110111011:1 01011111001:2 01010001111:2 00000000011:16 01011111111:23 01010010010:4 10000010000:13 10111011010:1 10100000001:2 01010010011:3 11110010110:6 00101000111:1 01010010100:1 11110110011:1 11101111000:2 01101101101:2 01010011011:5 01001101010:1 01010100001:2 10000110011:1 01010100011:1 01011010101:1 00101000001:1 01010100100:1 01010101111:3 10100011011:2 01010110000:2 11110110101:2 11000011101:2 01010110010:1 10101000101:2 01010110011:1 01010110110:1 10111101110:1 10110001110:2 01010110111:1 01111101001:5 01010111000:3 01010111001:3 10011101011:4 01010111100:2 11001101011:3 01010111110:5 10101001111:2 01011000010:5 01011110100:2 11010001111:2 00001011010:3 01100111001:4 01010011000:7 01011000011:6 10101011001:2 01011000100:3 00100000111:3 01011001001:3 01011001100:1 01011001110:3 01011001111:2 10110110101:1 00001111111:4 00101110001:4 01011111010:2 01011101010:3 11110010101:5 01011010010:3 10100000000:19 01100011001:3 11010110111:1 00001001100:1 01011010100:3 00110100110:2 01011010000:3 10001001111:3 01011011000:1 11110001001:1 00111110000:1 01101011001:2 11100100000:1 11011011101:1 01001010001:4 01011011011:2 00110011011:1 01011100000:1 01111101000:2 01011100011:6 01011100100:1 01011100101:1 01011100110:2 11001110110:6 01001011110:1 01011100111:3 10001001001:3 01011101001:1 01011101011:4 00100111010:4 00010110011:5 01011101100:1 10110011010:5 01001101001:1 01011101110:2 00111110011:3 01011101111:1 01110001011:2 01011110010:5 10010001010:5 00001111001:2 01011110011:1 01011110110:2 01011111100:3 01010011110:2 01011111110:1 01100000000:21 11101001001:2 01100000011:1 01100000100:2 01100000110:4 01011100001:2 00111001101:3 01100000111:2 01100001001:4 01100001010:2 11011010101:1 10101000100:1 01100010000:4 01111111000:4 01100010010:2 01101110010:2 00001011111:3 00010111110:2 01100010100:3 01100010110:4 01100011000:3 01100011011:1 01100100001:1 10110100100:2 01100100010:2 01111011111:10 01100100011:2 01100100100:4 01100000101:4 01100100101:2 10101100010:2 10101011010:3 01100101000:2 00101110111:1 00001100000:15 01100101001:1 01100101010:1 11000011001:3 01101000110:2 10100100101:2 01110001010:1 01100101100:1 10110100001:2 01100101101:1 00101110110:1 01100101111:2 01100110000:1 01100110010:2 11010100000:2 01000100001:4 10001101111:2 00001101010:2 01100110110:1 10111101111:12 01111110110:2 11100110100:4 00100010001:1 10001110110:1 01100111011:3 01100111111:1 01101000000:2 00111000110:1 01101000001:2 10111011011:1 01000000001:20 01101000011:1 00011110101:2 01101000111:1 01101001000:5 10001011110:2 01101001001:3 10110010000:1 10011011110:6 11010100111:1 01101001100:1 11110001111:2 00111010111:2 01101001101:3 11101111110:13 10101100001:1 01101001110:2 01101010011:2 10010100100:3 01101011000:1 01101011011:2 01010001010:2 01101100000:1 01101100100:2 11010001110:4 01101100001:4 00010011011:3 01101100101:3 01101100110:2 01101100111:2 11111101001:2 11000000101:6 10000100110:3 00011011011:1 01101101001:1 01101101010:2 01101101011:3 00010011100:3 01101110101:2 01101111010:1 01101111100:3 01101111101:3 10000101010:4 11000010101:4 01110000100:4 01110000110:1 11110001110:1 01110000111:2 11010100110:3 01110001000:3 00100111101:2 00100011111:2 01110001001:2 01011011101:3 01110001100:1 01110001110:1 10001110011:2 01110010100:3 11110000100:1 01110010101:2 11010010000:1 00100101100:4 01111110010:1 01110010111:3 00010001101:3 00010000101:3 01110011101:2 01110011111:2 10010110001:2 01110100000:3 00110101101:2 10010001011:2 01110100011:4 00111010001:2 01110100101:4 01111111011:13 01110100110:7 01000110001:4 01110101010:3 01110101011:2 00110110111:3 01110101111:3 01110101110:7 11000010100:7 01110110101:2 00011010011:3 10000101011:5 01110110111:1 11100001010:1 01100001011:3 01110111000:2 10010100001:2 01110111001:4 10010011110:1 01110111011:1 01110111101:3 01110111111:20 01111001111:2 01111000000:2 00001010110:1 01111000011:1 01001001000:1 01111000111:1 01111001010:7 01111001011:1 11000111110:1 11000111100:3 01111010011:8 00101011110:2 01111010100:1 10000110100:4 11101001010:1 01111010110:3 00000111010:3 01111011000:4 01111011001:3 10000110000:1 01111011110:1 10111101011:2 01010101010:2 10000000110:1 01111100000:2 10011101000:1 01111100001:3 00000111011:3 01111100010:1 01111100011:4 10000010011:5 01111100100:1 11100010010:1 01111101011:3 11010100010:3 01111101101:5 01111110000:6 11111010101:2 00001101011:2 01011010001:4 10001101101:3 01111110001:3 01111110100:1 11101110111:18 01111110111:14 01111111001:2 10000000100:17 10011000101:3 10000001010:2 10000111000:1 10110111110:2 10000001011:2 10000001100:2 10101101111:2 00111110100:3 10000001101:4 01000111111:3 10000001110:2 10000101111:2 11100010111:5 10000001111:1 01000000000:134 01110100100:3 10000010001:4 10000010100:4 01110011110:3 10000010101:3 10000011000:1 10000011011:3 10000011101:4 10000011111:4 01101111000:1 10011001110:2 10000100010:1 00010000011:1 10000100111:2 10101000000:2 10000110001:4 10000110110:3 11010011111:2 10000111011:4 00100011110:2 10000111100:4 11010010100:1 10111100111:1 10000111101:1 10001000000:17 10011011000:3 10001000101:2 11101001110:2 10001000111:3 00011101111:2 10001001000:1 10001001100:3 10001001101:3 11110010111:1 00111001111:2 10001001110:4 11000001001:2 10001010010:3 00010100011:5 10001010101:5 10001010110:5 10001010111:1 11111010001:2 01010000110:5 10001011100:2 10001011111:2 00100010101:1 10001100100:2 10001100111:1 10001101000:2 10001101010:2 00111010000:6 10001110000:3 10001110111:3 10001110010:1 11010000101:2 10001110101:2 01111000101:3 10001111000:6 10001111010:1 10001100010:2 10001111101:3 10110010100:5 10001111110:2 10001111111:1 11111100001:2 01111101111:24 10010000001:1 11011110001:1 10010000011:6 10010000110:6 01000011000:1 10010000111:4 10010001001:4 10010001100:1 10010010100:3 10010010110:4 00001001001:1 10010010111:1 10010001101:1 10010011001:3 11101011110:1 10111011111:14 10010011011:6 01000011110:1 10010011101:2 10010100000:1 10011101100:2 01101000101:1 10010100010:3 10011000000:2 01100011101:2 01010111111:4 10010100111:1 00101110000:1 10010101110:3 11111100100:3 10010101111:3 10010110000:5 10010110010:2 01111010101:4 10010110011:4 10010110111:1 11010001101:2 10010111101:3 10010111000:2 10010111100:3 11101100001:5 10010111110:1 10010111111:1 10011001111:3 01110111110:1 01101011100:1 10011000010:4 10011000011:6 11001001100:1 10010010001:1 10011000100:2 10101101110:1 10011000110:1 10011000111:6 10011001010:1 11011010001:1 00100001110:3 10011001011:6 10011001100:2 10011010000:2 10011010001:1 10001000110:6 10011010010:1 10011010011:2 11001100011:2 11000110001:4 00000010101:2 10011010101:2 11111001100:3 10011010111:2 10011011001:2 10011011010:3 01000000101:2 10011011011:1 00100101110:4 10011011100:4 01100001100:5 10011011111:1 00100100011:7 01101011010:2 10011100001:4 00011000001:1 10011100100:3 01110001101:2 10011100101:1 10011100110:3 01101010001:3 10011101001:2 }\n",
      "\n"
     ]
    }
   ],
   "source": [
    "num_subgraphs= 12 # limits the size of the merger graphs\n",
    "num_qubits = 14 # max number of qubits allowed in a quantum circuit\n",
    "layer_count = 1 # Layer count for the QAOA max cut\n",
    "seed = 101\n",
    "cut_results = subgraph_solution(sampleGraph3, 'Global', num_qubits, num_subgraphs, layer_count, sampleGraph3, seed)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{ 11111111110:122 11111111000:5 11111110111:130 11111110101:22 11111110100:1 11111110001:1 11111110000:2 11111101111:129 11111101101:17 11111101100:1 11111101000:3 11111100101:2 11111100011:3 11111100010:2 11111100000:6 11111011111:140 11111011101:18 11111011011:15 11111011001:1 11111010111:17 11111010100:3 11111010010:4 11111001111:11 11111001011:1 11111001010:2 11111001001:3 11111001000:6 11111000111:5 11111000110:3 11111000100:3 11111000010:3 11111000001:2 11111000000:2 11110111101:15 11110111010:3 11110111001:2 11110110100:4 11110110000:2 11110101111:11 11110101110:5 11110101101:3 11110101011:1 11110101010:1 11110101000:4 11110100101:3 11110100010:2 11110100001:3 11110100000:2 11110011111:17 11110011101:2 11110011100:1 11110011010:2 11110010100:1 11110010011:2 11110010000:3 11110001100:4 11110001011:1 11110000111:1 11110000110:1 11110000011:2 11110000010:4 11110000000:2 11101111100:2 11111001110:3 11101111001:2 11111111011:137 11101110100:3 11101100100:2 11101100010:2 11101100000:1 11111000011:2 11101011101:2 11101011100:1 11101011001:3 11101011000:3 11101010101:3 11101010010:3 11101010001:2 11101001100:1 11101001011:4 11101000100:1 11101000010:1 11100111101:2 11100111100:3 11100111010:4 11100111000:1 11100101110:2 11100101000:1 11100100011:6 11110011001:2 11100100010:3 11100100001:2 11100011110:3 11100011100:2 11100011011:4 11100011010:1 11100011001:3 11100011000:1 11100010011:1 11100010001:1 11100001110:1 11100001011:1 11100001001:5 11100000111:1 11100000011:3 11100000001:3 11011111111:128 11011111101:24 11011111011:18 11101010110:2 11101000101:2 11011111000:2 11011110101:2 11011110100:1 11011110011:4 11011110010:4 11101010111:2 11011110000:1 11101100101:3 11011101100:4 11011101010:5 11011100101:4 11011100011:5 11011011111:15 11011011100:2 11011011010:2 11011011000:4 11011010111:1 11011010100:2 11011010011:1 11011010010:4 11011010000:1 11011001110:2 11011001010:2 11011001001:1 11011001000:1 11100101011:2 11011000100:2 11011000011:2 11011000001:4 11010111111:15 11010111101:2 11010111011:1 11010111001:1 11010111000:2 11100110111:4 11010110110:2 11010110101:2 11010110100:3 11010110010:2 11010110001:1 11010110000:2 11010101111:4 11010101110:3 11010101011:1 11010101001:1 11010011100:2 11010011001:2 11010011000:5 11010010111:4 11010010101:2 11010010011:2 11010010010:1 11010010001:1 11010001100:2 11010001011:2 11010001010:6 11101101111:15 11010000111:2 11101101100:3 11010000110:2 11010000100:4 11010000011:2 11001111111:22 11100101001:2 11001111101:2 11001111010:8 11001110111:1 11001110100:1 11001110011:2 11011111100:1 11001101100:4 11100010110:1 11001101010:5 11101010000:2 11001101001:3 11001100110:4 11001100101:4 11001100010:5 11110110111:16 11001100001:1 11001011110:6 11001011100:1 11001011001:8 11001011000:4 11001010110:5 11001010101:2 11010011110:2 11001010001:1 11111010011:1 11001010000:2 11001001111:3 11001001110:1 11001001011:5 11001001000:2 11001000111:3 11001000110:2 11001000101:2 11001000011:5 11001011101:4 11001000010:4 11001000001:4 11000111011:2 11000111010:3 11000111001:1 11000111000:4 11000110111:2 11101111111:125 11000110011:1 11000110010:1 11010101010:4 11000101111:6 11000100111:9 11111110110:8 11000100110:3 11000100101:1 11000100011:1 11000100010:5 11010011011:3 11000011111:9 11000011110:3 11000011100:1 11000011011:1 11110100111:3 11000011010:4 11000011000:3 11011011110:3 11000010111:2 11000010001:4 11000001111:2 11000001110:1 11000001101:1 11011001111:2 11000001100:3 11000000100:1 11100010101:3 11000000011:2 11000000010:1 10111111111:125 10111111110:17 10111111011:18 10111111010:1 10111111001:4 10111111000:1 10111110111:19 10111110110:1 10111110010:1 10111101101:1 10111101001:6 10111100101:4 11011100111:3 10111100010:1 10111100000:3 10111011110:2 10111011101:1 10111011000:2 10111010110:5 10111010011:4 10111010010:3 10111001111:2 10111001101:3 10111100110:1 10111001100:2 10111001010:1 10111000111:4 10111000110:3 10111000101:3 10111000011:2 11101110011:3 10111000001:3 10110111111:8 10110111011:1 10110111000:1 10110110111:1 11110100011:4 10110110110:3 10110110100:1 10110110010:1 10110101111:2 10110101110:2 10110101101:1 11110001000:1 10110101011:2 10110101010:3 10110100111:2 10110100110:4 10110100101:1 10110100000:2 10110011110:1 10110011101:3 10110011100:2 11111111100:14 11000001000:3 10110011000:3 10110010110:1 10110010101:2 10110010010:3 11010111100:2 10110001111:2 10110001011:3 10110001000:2 10110010001:3 10110000111:6 11000101011:3 10110000110:1 10110000101:1 10110000100:1 10110000001:3 11000111101:3 10110000000:2 11101101110:1 10101111111:20 10110111010:1 10101111100:1 10101111001:4 11010101101:2 11001111110:4 10101110100:3 11001111000:6 10101110011:4 10101110001:1 10101110000:3 10101101100:3 10101101010:3 10101101001:4 11100101101:4 10101100111:3 10101100011:3 10101011111:2 11000101110:4 10101011110:3 10101011101:5 10101011011:4 10101011000:1 10101010110:1 10101010100:3 10101010011:3 10101010010:2 10101010001:1 10101010000:4 10101001110:3 11110111110:18 10101001101:1 10101001100:4 11010011101:5 10101001011:2 11110110010:4 10101001001:3 10101001000:3 10101000110:2 10101000011:2 11110111011:17 10101000010:2 10101000001:2 10100111110:1 10100111101:4 10100111100:1 10100111011:6 10100111001:2 11001010010:3 10100111000:4 11100101010:3 10100110111:2 11110100110:3 10100110110:2 11100001101:1 10100110101:3 10100110100:2 10100110010:2 10100110001:5 10100101101:2 11101101101:1 10100101100:2 10100101011:1 10100101010:1 10100101001:1 10100101000:2 10110101000:3 10100100111:3 10100100110:2 10100100011:3 10100100010:2 10100100000:2 10100011111:3 11000100001:4 10100011110:3 10100011101:4 10100011100:1 10100011010:4 10100011001:1 11011100001:1 10100010100:4 10100010001:3 10100001110:1 10100001101:3 11000101001:1 10100001010:2 10110101100:3 10100001000:2 10100000111:3 10100000110:1 10100000101:1 10100000100:2 10100000011:5 10100000010:1 10011111111:11 10011111011:1 11010100001:1 10011111010:1 10011111000:3 10011110110:3 10011110101:1 10011110011:2 10011110010:2 10011110001:2 10011110000:3 10110011001:1 01001100110:1 10111010001:1 01001100100:4 01001100010:4 01001100001:5 00100100110:1 01001011001:2 11101111011:25 01001010111:1 11010001001:2 00011011001:3 11001010011:4 01101101000:1 01001010000:1 00011011010:5 01111010010:5 01001001010:1 00011001000:3 01010101000:2 01110101001:1 10100100100:3 01001010100:5 01001000110:2 01001000101:1 00011011101:2 01101100011:1 11011101000:3 01000111100:3 00111111111:13 00000100000:124 01000110110:4 01000110010:2 01000110000:5 10101000111:4 01001011111:2 01000101001:3 01000101000:1 01000100111:1 01000100101:1 00011110001:2 10101101101:3 10100010101:2 01100100000:3 01000010100:1 00110100111:2 10100001001:4 01000011011:3 01000011010:1 11101001101:5 11010100100:1 10101101011:1 01000011001:2 10100011000:2 00011101110:1 11101011111:14 01110011011:3 01000010011:2 01000010000:17 00111000010:2 00010110100:3 01000001011:2 01100111101:2 10011001001:2 11100110010:4 01010101001:3 10000100101:2 11001110000:2 01000100100:2 11111001101:2 01111111111:153 01000000011:3 11100110110:1 11011100010:3 01000111000:2 01000011101:4 10001101001:3 00000111100:3 00111111000:3 11001100000:3 10011010100:1 11111110010:2 11101101011:1 10111111101:13 10111001110:4 01101110011:1 10000011010:3 11111111101:120 00111101111:1 10001111011:2 01000100000:15 00111100101:1 00111100100:4 00011010101:3 01000111110:3 11101100011:2 01011111101:1 10110110000:2 00111011101:5 01111010001:2 01000000111:2 00011111000:2 00111011100:1 10101110110:5 01111001101:4 00111011011:2 01000110100:1 00000110000:17 01010100111:1 11011111010:2 01001010010:5 00111011010:1 11110011011:2 11101000111:4 10110001001:5 00110101110:1 00111010101:1 00100001010:2 00111010100:2 01001010011:1 10100010000:1 00000001000:123 11000010010:2 00111001011:1 10111100001:3 01101101100:2 00111001000:4 10100001011:2 00000111001:1 11110011110:1 00111000100:5 00111000000:4 11000101000:1 01010100000:3 10101100000:7 00110111000:1 11001100100:2 10011101111:1 01111000100:3 10111101010:2 10000010110:2 00110110110:1 00110010000:1 01011000001:4 00110110101:2 00110110100:3 11100100100:1 01100010011:5 00110101111:6 00110101000:3 01101010111:7 01001100011:2 11000000000:18 01100110101:1 01001011100:1 00110100101:3 11011000111:1 01000111101:4 00110010011:1 00101001011:2 01000010101:3 11111000101:4 10011100111:3 00110100100:3 00000000111:1 01010000010:3 00101001110:3 10001100110:1 01110110100:2 10010010101:3 00110100010:2 00110111010:1 01100110001:2 00101100101:2 11010000001:2 00110100011:1 01110010010:3 01010001001:3 00110011010:3 00110010110:3 01010001101:4 01101001111:5 11101100110:2 00110011111:1 11011101011:1 10001000011:2 10011100000:4 00110010001:3 00110001110:2 00000000110:16 11100001111:4 00110001011:1 00110001010:1 00110000011:4 01110111100:2 10110001100:1 00110000001:3 00101111111:1 00011100011:2 10111110001:3 01100111010:1 01111111101:20 11100010100:2 00101111110:2 00101111011:4 10001100101:3 11100110000:3 10111010100:4 01001011000:3 00100111000:1 00101110101:1 00111111010:1 10000101001:2 00101101111:1 01101001011:2 00101101110:3 10001010100:3 00101101100:4 11010001000:1 00101101011:2 10110100010:1 00000110011:2 00100100000:16 00101101001:3 01010101101:3 00101100010:3 11011100110:1 01000010110:3 00101100001:1 00011000111:1 10000011110:1 01100101110:1 11110100100:4 00011100001:1 01000100110:2 00101011111:4 10010011100:4 00101101000:2 01111000010:2 00101011001:1 10000110010:2 00101010110:5 00000101001:4 00101010100:3 11011111110:11 11011110110:2 01011110001:4 10001100011:2 00101010001:1 11011100100:2 01000010010:1 10000001000:9 00101010000:1 01011001010:3 00011101000:3 10010101101:1 01000110011:3 11011000101:5 00101001101:4 00101011000:1 01100100110:1 11001000100:4 10010011111:4 00111101001:2 00101100000:1 01011010011:2 10010001111:3 00111110110:5 01110110001:3 11111100110:1 00101000010:1 01010100101:2 10000000101:3 10010010010:3 00100111110:1 00110110011:3 10100101111:2 01101111110:1 10110011111:1 01111000110:2 01111100110:1 10101010101:2 01001101000:2 10111100100:2 00100111100:2 00011010001:1 11101000001:1 11011110111:23 00111110101:3 11101011010:1 00010110111:2 00100110010:3 10000100011:3 00101010111:2 00100110000:1 01101010100:4 10010111001:2 00100101101:4 10110010011:1 10000101101:3 10100001100:4 00100101010:2 00100100111:2 00000101110:3 00010001100:1 00010000111:2 11001110101:4 01001010101:1 00111011110:7 00011010110:2 11101101010:3 00110000110:4 00011111110:3 00001111110:2 00100110111:2 00000100111:1 11010011010:1 00000001110:1 00100001000:26 10110111100:4 00011110110:2 00111010011:1 00111100000:1 00110011110:1 00100110011:2 10000000000:131 00000100110:2 01011101000:3 00001100100:3 10000110111:3 10000111010:2 00110000101:3 01001000111:2 01001100101:1 00011011111:2 10000011001:3 10000011100:1 00111100011:3 00011010000:1 01000001110:2 00101100111:3 01010001100:2 01011001000:2 00010111101:3 00011100010:5 00101111101:2 01100011111:3 10010000010:2 00101001100:3 01000000100:18 00000100001:20 00001100011:6 01111011100:2 10000111111:1 11000110110:2 01101000100:4 11000101100:1 00000100010:19 01111110011:1 01000111011:2 00101000110:1 01101110100:1 00111101101:3 00111111101:4 00100101000:1 00001000100:13 10010000101:1 01110101101:5 11110011000:2 11101110101:2 00101001001:1 11000100000:2 01110101000:2 11010010110:6 00001100110:5 00001011001:4 00000110101:4 01001101111:5 01110100010:2 00011011110:1 01011000101:2 00011110100:1 00110111111:1 00001110101:3 01100001101:2 10011011101:5 11011100000:2 00001010000:21 00011000010:2 01101010110:2 01110010011:4 01000101101:3 01010100010:2 00011001001:1 10100110000:1 01110000000:1 01111011011:1 10101010111:4 00010010011:1 00100010111:1 10010000000:11 01001000001:2 00001101000:6 00010000000:123 01000010111:1 00010110110:2 11101000000:2 00011101010:3 00101000000:16 11010000000:3 01110000010:1 00011000110:4 00011111101:2 01110010110:1 00001010001:3 00001011101:4 00010010111:2 01010011101:4 01011100010:3 01010010101:1 00110101001:2 10111110100:8 10001001010:4 00001000011:1 00001000010:14 11111011010:1 01010011010:1 01001100111:3 10010101001:3 11100000101:3 01100110111:5 11111111001:12 01000010001:2 10011111100:5 00000011100:1 01100010001:1 10001011011:2 11101110000:4 00110010010:1 00100100001:1 00001001010:2 11010100101:2 01110110010:1 01001011011:3 00000110100:1 00000011011:3 10110100011:1 01101110001:3 00001010011:4 01000011100:2 00010110101:2 11111111010:17 10000100001:1 00100100100:1 10100111111:1 00001111100:2 00001001110:2 01100001000:4 11110101100:4 01000000010:15 00101111010:2 00000100100:14 01011000000:2 00000000100:127 10010101011:1 11010000010:4 00001101111:4 01101101111:1 00010110000:2 00010001110:1 00011010111:5 00001100101:3 10111110000:2 01010101011:1 11101101001:2 00010000100:10 00100011011:3 00000101100:1 11100111011:3 01010011111:4 00010010000:20 01000100010:4 01000001000:20 00000011101:7 11111011110:20 10001010000:3 01001110111:3 00010000001:19 10111101000:2 00001110111:2 00110010111:2 00000010011:2 10010111010:3 00001101100:4 10010100011:2 00111101010:3 00010101001:6 11101000110:4 01101110000:3 01001010110:4 11110110110:1 01111111010:1 11001100111:1 00110010100:1 10100010110:2 00000001111:1 11101111010:1 10111001000:3 01000101110:3 00011100100:1 00110001100:3 00011011100:2 11001110010:2 01010000100:3 10111100011:5 00010110001:5 00110110000:3 00001101001:4 00000101000:17 10000001001:1 10011101110:6 00110100000:4 00001000111:3 11000001010:4 00000000101:24 01001111000:3 11111101110:12 11101000011:3 00010010010:2 00111101000:3 01101111111:19 01000111001:1 00100110101:4 00010100001:2 00000010111:2 01001111011:5 01011111000:3 11100000110:2 01001100000:2 00100100010:2 00100011010:2 00011000100:1 11011010110:2 01010110100:2 01110011001:3 00000010100:18 01111111110:18 10010110101:5 00001100111:2 11001010100:6 00010000010:21 00010011111:1 00010001111:4 00001010100:1 00000001100:21 11101101000:6 01001001111:5 00001110110:3 00000111101:1 01110100001:1 01100000001:1 00000000000:635 11101110001:2 00111010110:3 01001111111:1 00111001100:4 00000000001:100 00100001111:4 00110111100:1 00011001101:3 01011110101:5 01110101100:2 00000001001:12 11000000110:3 01100111110:4 10010001110:3 00110111001:4 10110101001:4 01001001100:3 00000101111:6 00111000101:1 10010101010:3 00000010001:19 01111101010:2 10010111011:1 10011100010:1 00000110110:1 11000110000:2 11000010011:3 01101001010:2 00100000010:22 00001011000:2 00001111010:2 00101000011:3 00110100001:1 11111011000:1 01011000110:2 10010100101:2 00101101101:3 00111101110:4 01111101100:4 11001011111:2 00000001011:3 01100011100:2 00111001001:2 00101101010:3 00000100011:2 00101110011:1 11111111111:657 10001011010:2 00011101001:3 01001011101:2 00000111110:1 10011111101:2 00000011000:14 01010111101:1 11111110011:15 11100010000:4 10000000001:11 00010001001:2 01110001111:3 11101110010:4 00001000001:15 01111001001:1 00100000110:6 01001000100:1 10011001000:1 01010000000:10 11010101100:3 01110010001:3 00110011000:4 00010000110:3 00000101011:2 00100110100:2 00100110110:2 00001111011:3 10000100000:16 11000101010:2 00001010111:2 11001011011:2 00000111000:1 01000101100:2 01101010101:1 00111000011:2 11110111111:129 11101111101:21 00010101110:2 00110011100:2 01101011101:4 00100000001:11 00010001010:1 00001111101:3 00100010110:1 10111010000:3 01110110110:2 10001111001:3 00000110111:6 11110110001:1 01000001010:2 01010010111:4 01110100111:6 11101010100:1 00010100111:1 00011001111:1 00010001011:4 01001111101:4 00101011011:2 01100111100:3 01001001110:2 11001101110:2 00100000101:1 10101001010:1 00000001010:16 10110110001:3 01010010001:1 00100010011:1 00010011001:1 00111000111:4 00000011111:5 00110000010:3 01101111001:3 11110001101:2 00001001011:2 10010011010:1 00010010001:1 10011101010:1 00010010101:3 00110000100:1 00010010110:4 00111111100:1 11100000100:6 01101100010:4 10110001010:3 10001100001:2 00010001000:13 00011110010:2 00010011010:1 10101100100:2 10001010001:2 00100000000:106 00001110100:2 00011001100:2 00110001000:2 01000101111:1 01001001001:4 00100011101:1 00010011110:3 01000001001:2 10000111110:2 11011000010:2 01000100011:1 01001000011:2 00110011101:1 00000010000:127 00101010011:1 00110101010:1 00011100101:2 11011101111:9 01000001101:4 00010100000:20 00001000000:121 10001001011:1 00010100010:2 01010111011:2 01000001111:1 01011011111:3 00010101100:3 00011101011:4 11001001001:5 00010101111:1 00100010000:16 01010010110:2 00010110010:2 11100111001:6 00110110010:2 10000000010:16 00111111001:4 00100111001:4 00001110010:3 01011011110:7 00011111001:4 11100110001:1 10010110100:2 00110010101:2 00001110001:3 10000010111:2 10010011000:8 00010111000:3 00101000101:2 00000011110:4 01101010010:2 11110000101:3 00010111001:2 00000101101:1 11011000110:2 01001111010:1 00010111011:1 11111010000:2 00101001000:3 10000100100:3 00010111100:4 00100111111:2 10011101101:1 00111100111:3 00100011000:2 01001110100:3 00111100110:4 11101100111:4 00111101011:3 00110001001:2 10100111010:1 00101011010:2 11100100101:1 10001110001:3 00011000000:20 00011000011:3 00111001010:2 00011001010:2 11001001101:9 00011001011:3 00000000010:109 01011000111:4 00111100010:4 00011010010:2 10001100000:2 00001110011:2 00110101011:1 00100101011:4 01111011010:3 00011011000:3 10111001011:4 00011100000:1 00101100100:1 11100001100:6 00101001010:3 00010111010:3 00011101100:2 00011010100:1 10000010010:2 00111101100:1 00000111111:1 00011110000:2 00001000101:4 01100110011:1 00100011100:4 00111011001:4 11100000010:4 10110000010:2 00100110001:5 10010101100:1 00011111100:3 01111110101:1 00100000100:22 10001111100:3 00110001111:2 00011111111:3 00100010100:2 01001000000:10 00000110010:5 10100010010:4 01001101110:7 01011001101:4 00101010101:1 00000011010:1 11001010111:2 01110010000:1 11110101001:4 00100001100:3 00111000001:3 00100010010:3 10111010101:2 00001001000:9 01101111011:1 01000101011:3 00001010010:4 00101111000:3 11111100111:19 00000101010:1 10010010000:2 00100100101:2 01101101110:3 11110111000:4 00001101101:1 01110110011:3 00110000000:21 01001101100:1 11011001101:2 10000000111:1 00101111001:3 00000010010:21 00100001011:2 01001101101:2 11101010011:1 01001110000:4 01001110001:2 01111001110:4 01001110010:2 01001110011:3 11110010001:1 11100111111:14 00100001101:2 01001111001:2 11100110011:2 00010111111:4 01011110000:2 01110011100:1 00110001101:2 01001111110:2 01110110000:3 11111101011:21 10100101110:2 01010000001:2 01111011101:3 01010000011:2 01001001011:2 01010000101:3 10001101110:3 01010010000:2 00110101100:4 01010101110:1 01011001011:3 10000111001:3 00010101010:3 01010000111:1 01011101101:4 01010001011:2 00110111011:1 01011111001:2 01010001111:2 00000000011:16 01011111111:23 01010010010:4 10000010000:13 10111011010:1 10100000001:2 01010010011:3 11110010110:6 00101000111:1 01010010100:1 11110110011:1 11101111000:2 01101101101:2 01010011011:5 01001101010:1 01010100001:2 10000110011:1 01010100011:1 01011010101:1 00101000001:1 01010100100:1 01010101111:3 10100011011:2 01010110000:2 11110110101:2 11000011101:2 01010110010:1 10101000101:2 01010110011:1 01010110110:1 10111101110:1 10110001110:2 01010110111:1 01111101001:5 01010111000:3 01010111001:3 10011101011:4 01010111100:2 11001101011:3 01010111110:5 10101001111:2 01011000010:5 01011110100:2 11010001111:2 00001011010:3 01100111001:4 01010011000:7 01011000011:6 10101011001:2 01011000100:3 00100000111:3 01011001001:3 01011001100:1 01011001110:3 01011001111:2 10110110101:1 00001111111:4 00101110001:4 01011111010:2 01011101010:3 11110010101:5 01011010010:3 10100000000:19 01100011001:3 11010110111:1 00001001100:1 01011010100:3 00110100110:2 01011010000:3 10001001111:3 01011011000:1 11110001001:1 00111110000:1 01101011001:2 11100100000:1 11011011101:1 01001010001:4 01011011011:2 00110011011:1 01011100000:1 01111101000:2 01011100011:6 01011100100:1 01011100101:1 01011100110:2 11001110110:6 01001011110:1 01011100111:3 10001001001:3 01011101001:1 01011101011:4 00100111010:4 00010110011:5 01011101100:1 10110011010:5 01001101001:1 01011101110:2 00111110011:3 01011101111:1 01110001011:2 01011110010:5 10010001010:5 00001111001:2 01011110011:1 01011110110:2 01011111100:3 01010011110:2 01011111110:1 01100000000:21 11101001001:2 01100000011:1 01100000100:2 01100000110:4 01011100001:2 00111001101:3 01100000111:2 01100001001:4 01100001010:2 11011010101:1 10101000100:1 01100010000:4 01111111000:4 01100010010:2 01101110010:2 00001011111:3 00010111110:2 01100010100:3 01100010110:4 01100011000:3 01100011011:1 01100100001:1 10110100100:2 01100100010:2 01111011111:10 01100100011:2 01100100100:4 01100000101:4 01100100101:2 10101100010:2 10101011010:3 01100101000:2 00101110111:1 00001100000:15 01100101001:1 01100101010:1 11000011001:3 01101000110:2 10100100101:2 01110001010:1 01100101100:1 10110100001:2 01100101101:1 00101110110:1 01100101111:2 01100110000:1 01100110010:2 11010100000:2 01000100001:4 10001101111:2 00001101010:2 01100110110:1 10111101111:12 01111110110:2 11100110100:4 00100010001:1 10001110110:1 01100111011:3 01100111111:1 01101000000:2 00111000110:1 01101000001:2 10111011011:1 01000000001:20 01101000011:1 00011110101:2 01101000111:1 01101001000:5 10001011110:2 01101001001:3 10110010000:1 10011011110:6 11010100111:1 01101001100:1 11110001111:2 00111010111:2 01101001101:3 11101111110:13 10101100001:1 01101001110:2 01101010011:2 10010100100:3 01101011000:1 01101011011:2 01010001010:2 01101100000:1 01101100100:2 11010001110:4 01101100001:4 00010011011:3 01101100101:3 01101100110:2 01101100111:2 11111101001:2 11000000101:6 10000100110:3 00011011011:1 01101101001:1 01101101010:2 01101101011:3 00010011100:3 01101110101:2 01101111010:1 01101111100:3 01101111101:3 10000101010:4 11000010101:4 01110000100:4 01110000110:1 11110001110:1 01110000111:2 11010100110:3 01110001000:3 00100111101:2 00100011111:2 01110001001:2 01011011101:3 01110001100:1 01110001110:1 10001110011:2 01110010100:3 11110000100:1 01110010101:2 11010010000:1 00100101100:4 01111110010:1 01110010111:3 00010001101:3 00010000101:3 01110011101:2 01110011111:2 10010110001:2 01110100000:3 00110101101:2 10010001011:2 01110100011:4 00111010001:2 01110100101:4 01111111011:13 01110100110:7 01000110001:4 01110101010:3 01110101011:2 00110110111:3 01110101111:3 01110101110:7 11000010100:7 01110110101:2 00011010011:3 10000101011:5 01110110111:1 11100001010:1 01100001011:3 01110111000:2 10010100001:2 01110111001:4 10010011110:1 01110111011:1 01110111101:3 01110111111:20 01111001111:2 01111000000:2 00001010110:1 01111000011:1 01001001000:1 01111000111:1 01111001010:7 01111001011:1 11000111110:1 11000111100:3 01111010011:8 00101011110:2 01111010100:1 10000110100:4 11101001010:1 01111010110:3 00000111010:3 01111011000:4 01111011001:3 10000110000:1 01111011110:1 10111101011:2 01010101010:2 10000000110:1 01111100000:2 10011101000:1 01111100001:3 00000111011:3 01111100010:1 01111100011:4 10000010011:5 01111100100:1 11100010010:1 01111101011:3 11010100010:3 01111101101:5 01111110000:6 11111010101:2 00001101011:2 01011010001:4 10001101101:3 01111110001:3 01111110100:1 11101110111:18 01111110111:14 01111111001:2 10000000100:17 10011000101:3 10000001010:2 10000111000:1 10110111110:2 10000001011:2 10000001100:2 10101101111:2 00111110100:3 10000001101:4 01000111111:3 10000001110:2 10000101111:2 11100010111:5 10000001111:1 01000000000:134 01110100100:3 10000010001:4 10000010100:4 01110011110:3 10000010101:3 10000011000:1 10000011011:3 10000011101:4 10000011111:4 01101111000:1 10011001110:2 10000100010:1 00010000011:1 10000100111:2 10101000000:2 10000110001:4 10000110110:3 11010011111:2 10000111011:4 00100011110:2 10000111100:4 11010010100:1 10111100111:1 10000111101:1 10001000000:17 10011011000:3 10001000101:2 11101001110:2 10001000111:3 00011101111:2 10001001000:1 10001001100:3 10001001101:3 11110010111:1 00111001111:2 10001001110:4 11000001001:2 10001010010:3 00010100011:5 10001010101:5 10001010110:5 10001010111:1 11111010001:2 01010000110:5 10001011100:2 10001011111:2 00100010101:1 10001100100:2 10001100111:1 10001101000:2 10001101010:2 00111010000:6 10001110000:3 10001110111:3 10001110010:1 11010000101:2 10001110101:2 01111000101:3 10001111000:6 10001111010:1 10001100010:2 10001111101:3 10110010100:5 10001111110:2 10001111111:1 11111100001:2 01111101111:24 10010000001:1 11011110001:1 10010000011:6 10010000110:6 01000011000:1 10010000111:4 10010001001:4 10010001100:1 10010010100:3 10010010110:4 00001001001:1 10010010111:1 10010001101:1 10010011001:3 11101011110:1 10111011111:14 10010011011:6 01000011110:1 10010011101:2 10010100000:1 10011101100:2 01101000101:1 10010100010:3 10011000000:2 01100011101:2 01010111111:4 10010100111:1 00101110000:1 10010101110:3 11111100100:3 10010101111:3 10010110000:5 10010110010:2 01111010101:4 10010110011:4 10010110111:1 11010001101:2 10010111101:3 10010111000:2 10010111100:3 11101100001:5 10010111110:1 10010111111:1 10011001111:3 01110111110:1 01101011100:1 10011000010:4 10011000011:6 11001001100:1 10010010001:1 10011000100:2 10101101110:1 10011000110:1 10011000111:6 10011001010:1 11011010001:1 00100001110:3 10011001011:6 10011001100:2 10011010000:2 10011010001:1 10001000110:6 10011010010:1 10011010011:2 11001100011:2 11000110001:4 00000010101:2 10011010101:2 11111001100:3 10011010111:2 10011011001:2 10011011010:3 01000000101:2 10011011011:1 00100101110:4 10011011100:4 01100001100:5 10011011111:1 00100100011:7 01101011010:2 10011100001:4 00011000001:1 10011100100:3 01110001101:2 10011100101:1 10011100110:3 01101010001:3 10011101001:2 }\n",
      "\n",
      "{'0': '11111111110', '1': '11111111000', '2': '11111110111', '3': '11111110101', '4': '11111110100', '5': '11111110001', '6': '11111110000', '7': '11111101111', '8': '11111101101', '9': '11111101100', '10': '11111101000', '11': '11111100101', '12': '11111100011', '13': '11111100010', '14': '11111100000', '15': '11111011111', '16': '11111011101', '17': '11111011011', '18': '11111011001', '19': '11111010111', '20': '11111010100', '21': '11111010010', '22': '11111001111', '23': '11111001011', '24': '11111001010', '25': '11111001001', '26': '11111001000', '27': '11111000111', '28': '11111000110', '29': '11111000100', '30': '11111000010', '31': '11111000001', '32': '11111000000', '33': '11110111101', '34': '11110111010', '35': '11110111001', '36': '11110110100', '37': '11110110000', '38': '11110101111', '39': '11110101110', '40': '11110101101', '41': '11110101011', '42': '11110101010', '43': '11110101000', '44': '11110100101', '45': '11110100010', '46': '11110100001', '47': '11110100000', '48': '11110011111', '49': '11110011101', '50': '11110011100', '51': '11110011010', '52': '11110010100', '53': '11110010011', '54': '11110010000', '55': '11110001100', '56': '11110001011', '57': '11110000111', '58': '11110000110', '59': '11110000011', '60': '11110000010', '61': '11110000000', '62': '11101111100', '63': '11111001110', '64': '11101111001', '65': '11111111011', '66': '11101110100', '67': '11101100100', '68': '11101100010', '69': '11101100000', '70': '11111000011', '71': '11101011101', '72': '11101011100', '73': '11101011001', '74': '11101011000', '75': '11101010101', '76': '11101010010', '77': '11101010001', '78': '11101001100', '79': '11101001011', '80': '11101000100', '81': '11101000010', '82': '11100111101', '83': '11100111100', '84': '11100111010', '85': '11100111000', '86': '11100101110', '87': '11100101000', '88': '11100100011', '89': '11110011001', '90': '11100100010', '91': '11100100001', '92': '11100011110', '93': '11100011100', '94': '11100011011', '95': '11100011010', '96': '11100011001', '97': '11100011000', '98': '11100010011', '99': '11100010001', '100': '11100001110', '101': '11100001011', '102': '11100001001', '103': '11100000111', '104': '11100000011', '105': '11100000001', '106': '11011111111', '107': '11011111101', '108': '11011111011', '109': '11101010110', '110': '11101000101', '111': '11011111000', '112': '11011110101', '113': '11011110100', '114': '11011110011', '115': '11011110010', '116': '11101010111', '117': '11011110000', '118': '11101100101', '119': '11011101100', '120': '11011101010', '121': '11011100101', '122': '11011100011', '123': '11011011111', '124': '11011011100', '125': '11011011010', '126': '11011011000', '127': '11011010111', '128': '11011010100', '129': '11011010011', '130': '11011010010', '131': '11011010000', '132': '11011001110', '133': '11011001010', '134': '11011001001', '135': '11011001000', '136': '11100101011', '137': '11011000100', '138': '11011000011', '139': '11011000001', '140': '11010111111', '141': '11010111101', '142': '11010111011', '143': '11010111001', '144': '11010111000', '145': '11100110111', '146': '11010110110', '147': '11010110101', '148': '11010110100', '149': '11010110010', '150': '11010110001', '151': '11010110000', '152': '11010101111', '153': '11010101110', '154': '11010101011', '155': '11010101001', '156': '11010011100', '157': '11010011001', '158': '11010011000', '159': '11010010111', '160': '11010010101', '161': '11010010011', '162': '11010010010', '163': '11010010001', '164': '11010001100', '165': '11010001011', '166': '11010001010', '167': '11101101111', '168': '11010000111', '169': '11101101100', '170': '11010000110', '171': '11010000100', '172': '11010000011', '173': '11001111111', '174': '11100101001', '175': '11001111101', '176': '11001111010', '177': '11001110111', '178': '11001110100', '179': '11001110011', '180': '11011111100', '181': '11001101100', '182': '11100010110', '183': '11001101010', '184': '11101010000', '185': '11001101001', '186': '11001100110', '187': '11001100101', '188': '11001100010', '189': '11110110111', '190': '11001100001', '191': '11001011110', '192': '11001011100', '193': '11001011001', '194': '11001011000', '195': '11001010110', '196': '11001010101', '197': '11010011110', '198': '11001010001', '199': '11111010011', '200': '11001010000', '201': '11001001111', '202': '11001001110', '203': '11001001011', '204': '11001001000', '205': '11001000111', '206': '11001000110', '207': '11001000101', '208': '11001000011', '209': '11001011101', '210': '11001000010', '211': '11001000001', '212': '11000111011', '213': '11000111010', '214': '11000111001', '215': '11000111000', '216': '11000110111', '217': '11101111111', '218': '11000110011', '219': '11000110010', '220': '11010101010', '221': '11000101111', '222': '11000100111', '223': '11111110110', '224': '11000100110', '225': '11000100101', '226': '11000100011', '227': '11000100010', '228': '11010011011', '229': '11000011111', '230': '11000011110', '231': '11000011100', '232': '11000011011', '233': '11110100111', '234': '11000011010', '235': '11000011000', '236': '11011011110', '237': '11000010111', '238': '11000010001', '239': '11000001111', '240': '11000001110', '241': '11000001101', '242': '11011001111', '243': '11000001100', '244': '11000000100', '245': '11100010101', '246': '11000000011', '247': '11000000010', '248': '10111111111', '249': '10111111110', '250': '10111111011', '251': '10111111010', '252': '10111111001', '253': '10111111000', '254': '10111110111', '255': '10111110110', '256': '10111110010', '257': '10111101101', '258': '10111101001', '259': '10111100101', '260': '11011100111', '261': '10111100010', '262': '10111100000', '263': '10111011110', '264': '10111011101', '265': '10111011000', '266': '10111010110', '267': '10111010011', '268': '10111010010', '269': '10111001111', '270': '10111001101', '271': '10111100110', '272': '10111001100', '273': '10111001010', '274': '10111000111', '275': '10111000110', '276': '10111000101', '277': '10111000011', '278': '11101110011', '279': '10111000001', '280': '10110111111', '281': '10110111011', '282': '10110111000', '283': '10110110111', '284': '11110100011', '285': '10110110110', '286': '10110110100', '287': '10110110010', '288': '10110101111', '289': '10110101110', '290': '10110101101', '291': '11110001000', '292': '10110101011', '293': '10110101010', '294': '10110100111', '295': '10110100110', '296': '10110100101', '297': '10110100000', '298': '10110011110', '299': '10110011101', '300': '10110011100', '301': '11111111100', '302': '11000001000', '303': '10110011000', '304': '10110010110', '305': '10110010101', '306': '10110010010', '307': '11010111100', '308': '10110001111', '309': '10110001011', '310': '10110001000', '311': '10110010001', '312': '10110000111', '313': '11000101011', '314': '10110000110', '315': '10110000101', '316': '10110000100', '317': '10110000001', '318': '11000111101', '319': '10110000000', '320': '11101101110', '321': '10101111111', '322': '10110111010', '323': '10101111100', '324': '10101111001', '325': '11010101101', '326': '11001111110', '327': '10101110100', '328': '11001111000', '329': '10101110011', '330': '10101110001', '331': '10101110000', '332': '10101101100', '333': '10101101010', '334': '10101101001', '335': '11100101101', '336': '10101100111', '337': '10101100011', '338': '10101011111', '339': '11000101110', '340': '10101011110', '341': '10101011101', '342': '10101011011', '343': '10101011000', '344': '10101010110', '345': '10101010100', '346': '10101010011', '347': '10101010010', '348': '10101010001', '349': '10101010000', '350': '10101001110', '351': '11110111110', '352': '10101001101', '353': '10101001100', '354': '11010011101', '355': '10101001011', '356': '11110110010', '357': '10101001001', '358': '10101001000', '359': '10101000110', '360': '10101000011', '361': '11110111011', '362': '10101000010', '363': '10101000001', '364': '10100111110', '365': '10100111101', '366': '10100111100', '367': '10100111011', '368': '10100111001', '369': '11001010010', '370': '10100111000', '371': '11100101010', '372': '10100110111', '373': '11110100110', '374': '10100110110', '375': '11100001101', '376': '10100110101', '377': '10100110100', '378': '10100110010', '379': '10100110001', '380': '10100101101', '381': '11101101101', '382': '10100101100', '383': '10100101011', '384': '10100101010', '385': '10100101001', '386': '10100101000', '387': '10110101000', '388': '10100100111', '389': '10100100110', '390': '10100100011', '391': '10100100010', '392': '10100100000', '393': '10100011111', '394': '11000100001', '395': '10100011110', '396': '10100011101', '397': '10100011100', '398': '10100011010', '399': '10100011001', '400': '11011100001', '401': '10100010100', '402': '10100010001', '403': '10100001110', '404': '10100001101', '405': '11000101001', '406': '10100001010', '407': '10110101100', '408': '10100001000', '409': '10100000111', '410': '10100000110', '411': '10100000101', '412': '10100000100', '413': '10100000011', '414': '10100000010', '415': '10011111111', '416': '10011111011', '417': '11010100001', '418': '10011111010', '419': '10011111000', '420': '10011110110', '421': '10011110101', '422': '10011110011', '423': '10011110010', '424': '10011110001', '425': '10011110000', '426': '10110011001', '427': '01001100110', '428': '10111010001', '429': '01001100100', '430': '01001100010', '431': '01001100001', '432': '00100100110', '433': '01001011001', '434': '11101111011', '435': '01001010111', '436': '11010001001', '437': '00011011001', '438': '11001010011', '439': '01101101000', '440': '01001010000', '441': '00011011010', '442': '01111010010', '443': '01001001010', '444': '00011001000', '445': '01010101000', '446': '01110101001', '447': '10100100100', '448': '01001010100', '449': '01001000110', '450': '01001000101', '451': '00011011101', '452': '01101100011', '453': '11011101000', '454': '01000111100', '455': '00111111111', '456': '00000100000', '457': '01000110110', '458': '01000110010', '459': '01000110000', '460': '10101000111', '461': '01001011111', '462': '01000101001', '463': '01000101000', '464': '01000100111', '465': '01000100101', '466': '00011110001', '467': '10101101101', '468': '10100010101', '469': '01100100000', '470': '01000010100', '471': '00110100111', '472': '10100001001', '473': '01000011011', '474': '01000011010', '475': '11101001101', '476': '11010100100', '477': '10101101011', '478': '01000011001', '479': '10100011000', '480': '00011101110', '481': '11101011111', '482': '01110011011', '483': '01000010011', '484': '01000010000', '485': '00111000010', '486': '00010110100', '487': '01000001011', '488': '01100111101', '489': '10011001001', '490': '11100110010', '491': '01010101001', '492': '10000100101', '493': '11001110000', '494': '01000100100', '495': '11111001101', '496': '01111111111', '497': '01000000011', '498': '11100110110', '499': '11011100010', '500': '01000111000', '501': '01000011101', '502': '10001101001', '503': '00000111100', '504': '00111111000', '505': '11001100000', '506': '10011010100', '507': '11111110010', '508': '11101101011', '509': '10111111101', '510': '10111001110', '511': '01101110011', '512': '10000011010', '513': '11111111101', '514': '00111101111', '515': '10001111011', '516': '01000100000', '517': '00111100101', '518': '00111100100', '519': '00011010101', '520': '01000111110', '521': '11101100011', '522': '01011111101', '523': '10110110000', '524': '00111011101', '525': '01111010001', '526': '01000000111', '527': '00011111000', '528': '00111011100', '529': '10101110110', '530': '01111001101', '531': '00111011011', '532': '01000110100', '533': '00000110000', '534': '01010100111', '535': '11011111010', '536': '01001010010', '537': '00111011010', '538': '11110011011', '539': '11101000111', '540': '10110001001', '541': '00110101110', '542': '00111010101', '543': '00100001010', '544': '00111010100', '545': '01001010011', '546': '10100010000', '547': '00000001000', '548': '11000010010', '549': '00111001011', '550': '10111100001', '551': '01101101100', '552': '00111001000', '553': '10100001011', '554': '00000111001', '555': '11110011110', '556': '00111000100', '557': '00111000000', '558': '11000101000', '559': '01010100000', '560': '10101100000', '561': '00110111000', '562': '11001100100', '563': '10011101111', '564': '01111000100', '565': '10111101010', '566': '10000010110', '567': '00110110110', '568': '00110010000', '569': '01011000001', '570': '00110110101', '571': '00110110100', '572': '11100100100', '573': '01100010011', '574': '00110101111', '575': '00110101000', '576': '01101010111', '577': '01001100011', '578': '11000000000', '579': '01100110101', '580': '01001011100', '581': '00110100101', '582': '11011000111', '583': '01000111101', '584': '00110010011', '585': '00101001011', '586': '01000010101', '587': '11111000101', '588': '10011100111', '589': '00110100100', '590': '00000000111', '591': '01010000010', '592': '00101001110', '593': '10001100110', '594': '01110110100', '595': '10010010101', '596': '00110100010', '597': '00110111010', '598': '01100110001', '599': '00101100101', '600': '11010000001', '601': '00110100011', '602': '01110010010', '603': '01010001001', '604': '00110011010', '605': '00110010110', '606': '01010001101', '607': '01101001111', '608': '11101100110', '609': '00110011111', '610': '11011101011', '611': '10001000011', '612': '10011100000', '613': '00110010001', '614': '00110001110', '615': '00000000110', '616': '11100001111', '617': '00110001011', '618': '00110001010', '619': '00110000011', '620': '01110111100', '621': '10110001100', '622': '00110000001', '623': '00101111111', '624': '00011100011', '625': '10111110001', '626': '01100111010', '627': '01111111101', '628': '11100010100', '629': '00101111110', '630': '00101111011', '631': '10001100101', '632': '11100110000', '633': '10111010100', '634': '01001011000', '635': '00100111000', '636': '00101110101', '637': '00111111010', '638': '10000101001', '639': '00101101111', '640': '01101001011', '641': '00101101110', '642': '10001010100', '643': '00101101100', '644': '11010001000', '645': '00101101011', '646': '10110100010', '647': '00000110011', '648': '00100100000', '649': '00101101001', '650': '01010101101', '651': '00101100010', '652': '11011100110', '653': '01000010110', '654': '00101100001', '655': '00011000111', '656': '10000011110', '657': '01100101110', '658': '11110100100', '659': '00011100001', '660': '01000100110', '661': '00101011111', '662': '10010011100', '663': '00101101000', '664': '01111000010', '665': '00101011001', '666': '10000110010', '667': '00101010110', '668': '00000101001', '669': '00101010100', '670': '11011111110', '671': '11011110110', '672': '01011110001', '673': '10001100011', '674': '00101010001', '675': '11011100100', '676': '01000010010', '677': '10000001000', '678': '00101010000', '679': '01011001010', '680': '00011101000', '681': '10010101101', '682': '01000110011', '683': '11011000101', '684': '00101001101', '685': '00101011000', '686': '01100100110', '687': '11001000100', '688': '10010011111', '689': '00111101001', '690': '00101100000', '691': '01011010011', '692': '10010001111', '693': '00111110110', '694': '01110110001', '695': '11111100110', '696': '00101000010', '697': '01010100101', '698': '10000000101', '699': '10010010010', '700': '00100111110', '701': '00110110011', '702': '10100101111', '703': '01101111110', '704': '10110011111', '705': '01111000110', '706': '01111100110', '707': '10101010101', '708': '01001101000', '709': '10111100100', '710': '00100111100', '711': '00011010001', '712': '11101000001', '713': '11011110111', '714': '00111110101', '715': '11101011010', '716': '00010110111', '717': '00100110010', '718': '10000100011', '719': '00101010111', '720': '00100110000', '721': '01101010100', '722': '10010111001', '723': '00100101101', '724': '10110010011', '725': '10000101101', '726': '10100001100', '727': '00100101010', '728': '00100100111', '729': '00000101110', '730': '00010001100', '731': '00010000111', '732': '11001110101', '733': '01001010101', '734': '00111011110', '735': '00011010110', '736': '11101101010', '737': '00110000110', '738': '00011111110', '739': '00001111110', '740': '00100110111', '741': '00000100111', '742': '11010011010', '743': '00000001110', '744': '00100001000', '745': '10110111100', '746': '00011110110', '747': '00111010011', '748': '00111100000', '749': '00110011110', '750': '00100110011', '751': '10000000000', '752': '00000100110', '753': '01011101000', '754': '00001100100', '755': '10000110111', '756': '10000111010', '757': '00110000101', '758': '01001000111', '759': '01001100101', '760': '00011011111', '761': '10000011001', '762': '10000011100', '763': '00111100011', '764': '00011010000', '765': '01000001110', '766': '00101100111', '767': '01010001100', '768': '01011001000', '769': '00010111101', '770': '00011100010', '771': '00101111101', '772': '01100011111', '773': '10010000010', '774': '00101001100', '775': '01000000100', '776': '00000100001', '777': '00001100011', '778': '01111011100', '779': '10000111111', '780': '11000110110', '781': '01101000100', '782': '11000101100', '783': '00000100010', '784': '01111110011', '785': '01000111011', '786': '00101000110', '787': '01101110100', '788': '00111101101', '789': '00111111101', '790': '00100101000', '791': '00001000100', '792': '10010000101', '793': '01110101101', '794': '11110011000', '795': '11101110101', '796': '00101001001', '797': '11000100000', '798': '01110101000', '799': '11010010110', '800': '00001100110', '801': '00001011001', '802': '00000110101', '803': '01001101111', '804': '01110100010', '805': '00011011110', '806': '01011000101', '807': '00011110100', '808': '00110111111', '809': '00001110101', '810': '01100001101', '811': '10011011101', '812': '11011100000', '813': '00001010000', '814': '00011000010', '815': '01101010110', '816': '01110010011', '817': '01000101101', '818': '01010100010', '819': '00011001001', '820': '10100110000', '821': '01110000000', '822': '01111011011', '823': '10101010111', '824': '00010010011', '825': '00100010111', '826': '10010000000', '827': '01001000001', '828': '00001101000', '829': '00010000000', '830': '01000010111', '831': '00010110110', '832': '11101000000', '833': '00011101010', '834': '00101000000', '835': '11010000000', '836': '01110000010', '837': '00011000110', '838': '00011111101', '839': '01110010110', '840': '00001010001', '841': '00001011101', '842': '00010010111', '843': '01010011101', '844': '01011100010', '845': '01010010101', '846': '00110101001', '847': '10111110100', '848': '10001001010', '849': '00001000011', '850': '00001000010', '851': '11111011010', '852': '01010011010', '853': '01001100111', '854': '10010101001', '855': '11100000101', '856': '01100110111', '857': '11111111001', '858': '01000010001', '859': '10011111100', '860': '00000011100', '861': '01100010001', '862': '10001011011', '863': '11101110000', '864': '00110010010', '865': '00100100001', '866': '00001001010', '867': '11010100101', '868': '01110110010', '869': '01001011011', '870': '00000110100', '871': '00000011011', '872': '10110100011', '873': '01101110001', '874': '00001010011', '875': '01000011100', '876': '00010110101', '877': '11111111010', '878': '10000100001', '879': '00100100100', '880': '10100111111', '881': '00001111100', '882': '00001001110', '883': '01100001000', '884': '11110101100', '885': '01000000010', '886': '00101111010', '887': '00000100100', '888': '01011000000', '889': '00000000100', '890': '10010101011', '891': '11010000010', '892': '00001101111', '893': '01101101111', '894': '00010110000', '895': '00010001110', '896': '00011010111', '897': '00001100101', '898': '10111110000', '899': '01010101011', '900': '11101101001', '901': '00010000100', '902': '00100011011', '903': '00000101100', '904': '11100111011', '905': '01010011111', '906': '00010010000', '907': '01000100010', '908': '01000001000', '909': '00000011101', '910': '11111011110', '911': '10001010000', '912': '01001110111', '913': '00010000001', '914': '10111101000', '915': '00001110111', '916': '00110010111', '917': '00000010011', '918': '10010111010', '919': '00001101100', '920': '10010100011', '921': '00111101010', '922': '00010101001', '923': '11101000110', '924': '01101110000', '925': '01001010110', '926': '11110110110', '927': '01111111010', '928': '11001100111', '929': '00110010100', '930': '10100010110', '931': '00000001111', '932': '11101111010', '933': '10111001000', '934': '01000101110', '935': '00011100100', '936': '00110001100', '937': '00011011100', '938': '11001110010', '939': '01010000100', '940': '10111100011', '941': '00010110001', '942': '00110110000', '943': '00001101001', '944': '00000101000', '945': '10000001001', '946': '10011101110', '947': '00110100000', '948': '00001000111', '949': '11000001010', '950': '00000000101', '951': '01001111000', '952': '11111101110', '953': '11101000011', '954': '00010010010', '955': '00111101000', '956': '01101111111', '957': '01000111001', '958': '00100110101', '959': '00010100001', '960': '00000010111', '961': '01001111011', '962': '01011111000', '963': '11100000110', '964': '01001100000', '965': '00100100010', '966': '00100011010', '967': '00011000100', '968': '11011010110', '969': '01010110100', '970': '01110011001', '971': '00000010100', '972': '01111111110', '973': '10010110101', '974': '00001100111', '975': '11001010100', '976': '00010000010', '977': '00010011111', '978': '00010001111', '979': '00001010100', '980': '00000001100', '981': '11101101000', '982': '01001001111', '983': '00001110110', '984': '00000111101', '985': '01110100001', '986': '01100000001', '987': '00000000000', '988': '11101110001', '989': '00111010110', '990': '01001111111', '991': '00111001100', '992': '00000000001', '993': '00100001111', '994': '00110111100', '995': '00011001101', '996': '01011110101', '997': '01110101100', '998': '00000001001', '999': '11000000110', '1000': '01100111110', '1001': '10010001110', '1002': '00110111001', '1003': '10110101001', '1004': '01001001100', '1005': '00000101111', '1006': '00111000101', '1007': '10010101010', '1008': '00000010001', '1009': '01111101010', '1010': '10010111011', '1011': '10011100010', '1012': '00000110110', '1013': '11000110000', '1014': '11000010011', '1015': '01101001010', '1016': '00100000010', '1017': '00001011000', '1018': '00001111010', '1019': '00101000011', '1020': '00110100001', '1021': '11111011000', '1022': '01011000110', '1023': '10010100101', '1024': '00101101101', '1025': '00111101110', '1026': '01111101100', '1027': '11001011111', '1028': '00000001011', '1029': '01100011100', '1030': '00111001001', '1031': '00101101010', '1032': '00000100011', '1033': '00101110011', '1034': '11111111111', '1035': '10001011010', '1036': '00011101001', '1037': '01001011101', '1038': '00000111110', '1039': '10011111101', '1040': '00000011000', '1041': '01010111101', '1042': '11111110011', '1043': '11100010000', '1044': '10000000001', '1045': '00010001001', '1046': '01110001111', '1047': '11101110010', '1048': '00001000001', '1049': '01111001001', '1050': '00100000110', '1051': '01001000100', '1052': '10011001000', '1053': '01010000000', '1054': '11010101100', '1055': '01110010001', '1056': '00110011000', '1057': '00010000110', '1058': '00000101011', '1059': '00100110100', '1060': '00100110110', '1061': '00001111011', '1062': '10000100000', '1063': '11000101010', '1064': '00001010111', '1065': '11001011011', '1066': '00000111000', '1067': '01000101100', '1068': '01101010101', '1069': '00111000011', '1070': '11110111111', '1071': '11101111101', '1072': '00010101110', '1073': '00110011100', '1074': '01101011101', '1075': '00100000001', '1076': '00010001010', '1077': '00001111101', '1078': '00100010110', '1079': '10111010000', '1080': '01110110110', '1081': '10001111001', '1082': '00000110111', '1083': '11110110001', '1084': '01000001010', '1085': '01010010111', '1086': '01110100111', '1087': '11101010100', '1088': '00010100111', '1089': '00011001111', '1090': '00010001011', '1091': '01001111101', '1092': '00101011011', '1093': '01100111100', '1094': '01001001110', '1095': '11001101110', '1096': '00100000101', '1097': '10101001010', '1098': '00000001010', '1099': '10110110001', '1100': '01010010001', '1101': '00100010011', '1102': '00010011001', '1103': '00111000111', '1104': '00000011111', '1105': '00110000010', '1106': '01101111001', '1107': '11110001101', '1108': '00001001011', '1109': '10010011010', '1110': '00010010001', '1111': '10011101010', '1112': '00010010101', '1113': '00110000100', '1114': '00010010110', '1115': '00111111100', '1116': '11100000100', '1117': '01101100010', '1118': '10110001010', '1119': '10001100001', '1120': '00010001000', '1121': '00011110010', '1122': '00010011010', '1123': '10101100100', '1124': '10001010001', '1125': '00100000000', '1126': '00001110100', '1127': '00011001100', '1128': '00110001000', '1129': '01000101111', '1130': '01001001001', '1131': '00100011101', '1132': '00010011110', '1133': '01000001001', '1134': '10000111110', '1135': '11011000010', '1136': '01000100011', '1137': '01001000011', '1138': '00110011101', '1139': '00000010000', '1140': '00101010011', '1141': '00110101010', '1142': '00011100101', '1143': '11011101111', '1144': '01000001101', '1145': '00010100000', '1146': '00001000000', '1147': '10001001011', '1148': '00010100010', '1149': '01010111011', '1150': '01000001111', '1151': '01011011111', '1152': '00010101100', '1153': '00011101011', '1154': '11001001001', '1155': '00010101111', '1156': '00100010000', '1157': '01010010110', '1158': '00010110010', '1159': '11100111001', '1160': '00110110010', '1161': '10000000010', '1162': '00111111001', '1163': '00100111001', '1164': '00001110010', '1165': '01011011110', '1166': '00011111001', '1167': '11100110001', '1168': '10010110100', '1169': '00110010101', '1170': '00001110001', '1171': '10000010111', '1172': '10010011000', '1173': '00010111000', '1174': '00101000101', '1175': '00000011110', '1176': '01101010010', '1177': '11110000101', '1178': '00010111001', '1179': '00000101101', '1180': '11011000110', '1181': '01001111010', '1182': '00010111011', '1183': '11111010000', '1184': '00101001000', '1185': '10000100100', '1186': '00010111100', '1187': '00100111111', '1188': '10011101101', '1189': '00111100111', '1190': '00100011000', '1191': '01001110100', '1192': '00111100110', '1193': '11101100111', '1194': '00111101011', '1195': '00110001001', '1196': '10100111010', '1197': '00101011010', '1198': '11100100101', '1199': '10001110001', '1200': '00011000000', '1201': '00011000011', '1202': '00111001010', '1203': '00011001010', '1204': '11001001101', '1205': '00011001011', '1206': '00000000010', '1207': '01011000111', '1208': '00111100010', '1209': '00011010010', '1210': '10001100000', '1211': '00001110011', '1212': '00110101011', '1213': '00100101011', '1214': '01111011010', '1215': '00011011000', '1216': '10111001011', '1217': '00011100000', '1218': '00101100100', '1219': '11100001100', '1220': '00101001010', '1221': '00010111010', '1222': '00011101100', '1223': '00011010100', '1224': '10000010010', '1225': '00111101100', '1226': '00000111111', '1227': '00011110000', '1228': '00001000101', '1229': '01100110011', '1230': '00100011100', '1231': '00111011001', '1232': '11100000010', '1233': '10110000010', '1234': '00100110001', '1235': '10010101100', '1236': '00011111100', '1237': '01111110101', '1238': '00100000100', '1239': '10001111100', '1240': '00110001111', '1241': '00011111111', '1242': '00100010100', '1243': '01001000000', '1244': '00000110010', '1245': '10100010010', '1246': '01001101110', '1247': '01011001101', '1248': '00101010101', '1249': '00000011010', '1250': '11001010111', '1251': '01110010000', '1252': '11110101001', '1253': '00100001100', '1254': '00111000001', '1255': '00100010010', '1256': '10111010101', '1257': '00001001000', '1258': '01101111011', '1259': '01000101011', '1260': '00001010010', '1261': '00101111000', '1262': '11111100111', '1263': '00000101010', '1264': '10010010000', '1265': '00100100101', '1266': '01101101110', '1267': '11110111000', '1268': '00001101101', '1269': '01110110011', '1270': '00110000000', '1271': '01001101100', '1272': '11011001101', '1273': '10000000111', '1274': '00101111001', '1275': '00000010010', '1276': '00100001011', '1277': '01001101101', '1278': '11101010011', '1279': '01001110000', '1280': '01001110001', '1281': '01111001110', '1282': '01001110010', '1283': '01001110011', '1284': '11110010001', '1285': '11100111111', '1286': '00100001101', '1287': '01001111001', '1288': '11100110011', '1289': '00010111111', '1290': '01011110000', '1291': '01110011100', '1292': '00110001101', '1293': '01001111110', '1294': '01110110000', '1295': '11111101011', '1296': '10100101110', '1297': '01010000001', '1298': '01111011101', '1299': '01010000011', '1300': '01001001011', '1301': '01010000101', '1302': '10001101110', '1303': '01010010000', '1304': '00110101100', '1305': '01010101110', '1306': '01011001011', '1307': '10000111001', '1308': '00010101010', '1309': '01010000111', '1310': '01011101101', '1311': '01010001011', '1312': '00110111011', '1313': '01011111001', '1314': '01010001111', '1315': '00000000011', '1316': '01011111111', '1317': '01010010010', '1318': '10000010000', '1319': '10111011010', '1320': '10100000001', '1321': '01010010011', '1322': '11110010110', '1323': '00101000111', '1324': '01010010100', '1325': '11110110011', '1326': '11101111000', '1327': '01101101101', '1328': '01010011011', '1329': '01001101010', '1330': '01010100001', '1331': '10000110011', '1332': '01010100011', '1333': '01011010101', '1334': '00101000001', '1335': '01010100100', '1336': '01010101111', '1337': '10100011011', '1338': '01010110000', '1339': '11110110101', '1340': '11000011101', '1341': '01010110010', '1342': '10101000101', '1343': '01010110011', '1344': '01010110110', '1345': '10111101110', '1346': '10110001110', '1347': '01010110111', '1348': '01111101001', '1349': '01010111000', '1350': '01010111001', '1351': '10011101011', '1352': '01010111100', '1353': '11001101011', '1354': '01010111110', '1355': '10101001111', '1356': '01011000010', '1357': '01011110100', '1358': '11010001111', '1359': '00001011010', '1360': '01100111001', '1361': '01010011000', '1362': '01011000011', '1363': '10101011001', '1364': '01011000100', '1365': '00100000111', '1366': '01011001001', '1367': '01011001100', '1368': '01011001110', '1369': '01011001111', '1370': '10110110101', '1371': '00001111111', '1372': '00101110001', '1373': '01011111010', '1374': '01011101010', '1375': '11110010101', '1376': '01011010010', '1377': '10100000000', '1378': '01100011001', '1379': '11010110111', '1380': '00001001100', '1381': '01011010100', '1382': '00110100110', '1383': '01011010000', '1384': '10001001111', '1385': '01011011000', '1386': '11110001001', '1387': '00111110000', '1388': '01101011001', '1389': '11100100000', '1390': '11011011101', '1391': '01001010001', '1392': '01011011011', '1393': '00110011011', '1394': '01011100000', '1395': '01111101000', '1396': '01011100011', '1397': '01011100100', '1398': '01011100101', '1399': '01011100110', '1400': '11001110110', '1401': '01001011110', '1402': '01011100111', '1403': '10001001001', '1404': '01011101001', '1405': '01011101011', '1406': '00100111010', '1407': '00010110011', '1408': '01011101100', '1409': '10110011010', '1410': '01001101001', '1411': '01011101110', '1412': '00111110011', '1413': '01011101111', '1414': '01110001011', '1415': '01011110010', '1416': '10010001010', '1417': '00001111001', '1418': '01011110011', '1419': '01011110110', '1420': '01011111100', '1421': '01010011110', '1422': '01011111110', '1423': '01100000000', '1424': '11101001001', '1425': '01100000011', '1426': '01100000100', '1427': '01100000110', '1428': '01011100001', '1429': '00111001101', '1430': '01100000111', '1431': '01100001001', '1432': '01100001010', '1433': '11011010101', '1434': '10101000100', '1435': '01100010000', '1436': '01111111000', '1437': '01100010010', '1438': '01101110010', '1439': '00001011111', '1440': '00010111110', '1441': '01100010100', '1442': '01100010110', '1443': '01100011000', '1444': '01100011011', '1445': '01100100001', '1446': '10110100100', '1447': '01100100010', '1448': '01111011111', '1449': '01100100011', '1450': '01100100100', '1451': '01100000101', '1452': '01100100101', '1453': '10101100010', '1454': '10101011010', '1455': '01100101000', '1456': '00101110111', '1457': '00001100000', '1458': '01100101001', '1459': '01100101010', '1460': '11000011001', '1461': '01101000110', '1462': '10100100101', '1463': '01110001010', '1464': '01100101100', '1465': '10110100001', '1466': '01100101101', '1467': '00101110110', '1468': '01100101111', '1469': '01100110000', '1470': '01100110010', '1471': '11010100000', '1472': '01000100001', '1473': '10001101111', '1474': '00001101010', '1475': '01100110110', '1476': '10111101111', '1477': '01111110110', '1478': '11100110100', '1479': '00100010001', '1480': '10001110110', '1481': '01100111011', '1482': '01100111111', '1483': '01101000000', '1484': '00111000110', '1485': '01101000001', '1486': '10111011011', '1487': '01000000001', '1488': '01101000011', '1489': '00011110101', '1490': '01101000111', '1491': '01101001000', '1492': '10001011110', '1493': '01101001001', '1494': '10110010000', '1495': '10011011110', '1496': '11010100111', '1497': '01101001100', '1498': '11110001111', '1499': '00111010111', '1500': '01101001101', '1501': '11101111110', '1502': '10101100001', '1503': '01101001110', '1504': '01101010011', '1505': '10010100100', '1506': '01101011000', '1507': '01101011011', '1508': '01010001010', '1509': '01101100000', '1510': '01101100100', '1511': '11010001110', '1512': '01101100001', '1513': '00010011011', '1514': '01101100101', '1515': '01101100110', '1516': '01101100111', '1517': '11111101001', '1518': '11000000101', '1519': '10000100110', '1520': '00011011011', '1521': '01101101001', '1522': '01101101010', '1523': '01101101011', '1524': '00010011100', '1525': '01101110101', '1526': '01101111010', '1527': '01101111100', '1528': '01101111101', '1529': '10000101010', '1530': '11000010101', '1531': '01110000100', '1532': '01110000110', '1533': '11110001110', '1534': '01110000111', '1535': '11010100110', '1536': '01110001000', '1537': '00100111101', '1538': '00100011111', '1539': '01110001001', '1540': '01011011101', '1541': '01110001100', '1542': '01110001110', '1543': '10001110011', '1544': '01110010100', '1545': '11110000100', '1546': '01110010101', '1547': '11010010000', '1548': '00100101100', '1549': '01111110010', '1550': '01110010111', '1551': '00010001101', '1552': '00010000101', '1553': '01110011101', '1554': '01110011111', '1555': '10010110001', '1556': '01110100000', '1557': '00110101101', '1558': '10010001011', '1559': '01110100011', '1560': '00111010001', '1561': '01110100101', '1562': '01111111011', '1563': '01110100110', '1564': '01000110001', '1565': '01110101010', '1566': '01110101011', '1567': '00110110111', '1568': '01110101111', '1569': '01110101110', '1570': '11000010100', '1571': '01110110101', '1572': '00011010011', '1573': '10000101011', '1574': '01110110111', '1575': '11100001010', '1576': '01100001011', '1577': '01110111000', '1578': '10010100001', '1579': '01110111001', '1580': '10010011110', '1581': '01110111011', '1582': '01110111101', '1583': '01110111111', '1584': '01111001111', '1585': '01111000000', '1586': '00001010110', '1587': '01111000011', '1588': '01001001000', '1589': '01111000111', '1590': '01111001010', '1591': '01111001011', '1592': '11000111110', '1593': '11000111100', '1594': '01111010011', '1595': '00101011110', '1596': '01111010100', '1597': '10000110100', '1598': '11101001010', '1599': '01111010110', '1600': '00000111010', '1601': '01111011000', '1602': '01111011001', '1603': '10000110000', '1604': '01111011110', '1605': '10111101011', '1606': '01010101010', '1607': '10000000110', '1608': '01111100000', '1609': '10011101000', '1610': '01111100001', '1611': '00000111011', '1612': '01111100010', '1613': '01111100011', '1614': '10000010011', '1615': '01111100100', '1616': '11100010010', '1617': '01111101011', '1618': '11010100010', '1619': '01111101101', '1620': '01111110000', '1621': '11111010101', '1622': '00001101011', '1623': '01011010001', '1624': '10001101101', '1625': '01111110001', '1626': '01111110100', '1627': '11101110111', '1628': '01111110111', '1629': '01111111001', '1630': '10000000100', '1631': '10011000101', '1632': '10000001010', '1633': '10000111000', '1634': '10110111110', '1635': '10000001011', '1636': '10000001100', '1637': '10101101111', '1638': '00111110100', '1639': '10000001101', '1640': '01000111111', '1641': '10000001110', '1642': '10000101111', '1643': '11100010111', '1644': '10000001111', '1645': '01000000000', '1646': '01110100100', '1647': '10000010001', '1648': '10000010100', '1649': '01110011110', '1650': '10000010101', '1651': '10000011000', '1652': '10000011011', '1653': '10000011101', '1654': '10000011111', '1655': '01101111000', '1656': '10011001110', '1657': '10000100010', '1658': '00010000011', '1659': '10000100111', '1660': '10101000000', '1661': '10000110001', '1662': '10000110110', '1663': '11010011111', '1664': '10000111011', '1665': '00100011110', '1666': '10000111100', '1667': '11010010100', '1668': '10111100111', '1669': '10000111101', '1670': '10001000000', '1671': '10011011000', '1672': '10001000101', '1673': '11101001110', '1674': '10001000111', '1675': '00011101111', '1676': '10001001000', '1677': '10001001100', '1678': '10001001101', '1679': '11110010111', '1680': '00111001111', '1681': '10001001110', '1682': '11000001001', '1683': '10001010010', '1684': '00010100011', '1685': '10001010101', '1686': '10001010110', '1687': '10001010111', '1688': '11111010001', '1689': '01010000110', '1690': '10001011100', '1691': '10001011111', '1692': '00100010101', '1693': '10001100100', '1694': '10001100111', '1695': '10001101000', '1696': '10001101010', '1697': '00111010000', '1698': '10001110000', '1699': '10001110111', '1700': '10001110010', '1701': '11010000101', '1702': '10001110101', '1703': '01111000101', '1704': '10001111000', '1705': '10001111010', '1706': '10001100010', '1707': '10001111101', '1708': '10110010100', '1709': '10001111110', '1710': '10001111111', '1711': '11111100001', '1712': '01111101111', '1713': '10010000001', '1714': '11011110001', '1715': '10010000011', '1716': '10010000110', '1717': '01000011000', '1718': '10010000111', '1719': '10010001001', '1720': '10010001100', '1721': '10010010100', '1722': '10010010110', '1723': '00001001001', '1724': '10010010111', '1725': '10010001101', '1726': '10010011001', '1727': '11101011110', '1728': '10111011111', '1729': '10010011011', '1730': '01000011110', '1731': '10010011101', '1732': '10010100000', '1733': '10011101100', '1734': '01101000101', '1735': '10010100010', '1736': '10011000000', '1737': '01100011101', '1738': '01010111111', '1739': '10010100111', '1740': '00101110000', '1741': '10010101110', '1742': '11111100100', '1743': '10010101111', '1744': '10010110000', '1745': '10010110010', '1746': '01111010101', '1747': '10010110011', '1748': '10010110111', '1749': '11010001101', '1750': '10010111101', '1751': '10010111000', '1752': '10010111100', '1753': '11101100001', '1754': '10010111110', '1755': '10010111111', '1756': '10011001111', '1757': '01110111110', '1758': '01101011100', '1759': '10011000010', '1760': '10011000011', '1761': '11001001100', '1762': '10010010001', '1763': '10011000100', '1764': '10101101110', '1765': '10011000110', '1766': '10011000111', '1767': '10011001010', '1768': '11011010001', '1769': '00100001110', '1770': '10011001011', '1771': '10011001100', '1772': '10011010000', '1773': '10011010001', '1774': '10001000110', '1775': '10011010010', '1776': '10011010011', '1777': '11001100011', '1778': '11000110001', '1779': '00000010101', '1780': '10011010101', '1781': '11111001100', '1782': '10011010111', '1783': '10011011001', '1784': '10011011010', '1785': '01000000101', '1786': '10011011011', '1787': '00100101110', '1788': '10011011100', '1789': '01100001100', '1790': '10011011111', '1791': '00100100011', '1792': '01101011010', '1793': '10011100001', '1794': '00011000001', '1795': '10011100100', '1796': '01110001101', '1797': '10011100101', '1798': '10011100110', '1799': '01101010001', '1800': '10011101001'}\n"
     ]
    }
   ],
   "source": [
    "# Input string\n",
    "input_string = cut_results\n",
    "\n",
    "# Remove \"Outcome =\" and clean braces and extra characters\n",
    "cleaned_string = input_string.replace(\"Outcome = \", \"\").replace(\"{\", \"\").replace(\"}\", \"\").strip()\n",
    "\n",
    "# Split into key-value pairs\n",
    "pairs = cleaned_string.split()\n",
    "\n",
    "# Create the dictionary and keep binary strings with leading zeros\n",
    "binary_dict = {str(i): pair.split(':')[0] for i, pair in enumerate(pairs)}\n",
    "\n",
    "print(binary_dict)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'0': np.float64(75237.8), '1': np.float64(175857.98), '2': np.float64(33181.74), '3': np.float64(66363.48), '4': np.float64(141601.28), '5': np.float64(133801.92), '6': np.float64(164797.4), '7': np.float64(111715.1), '8': np.float64(100654.52), '9': np.float64(131650.0), '10': np.float64(154846.12), '11': np.float64(133836.26), '12': np.float64(168092.96), '13': np.float64(154846.12), '14': np.float64(143785.54), '15': np.float64(-11060.58), '16': np.float64(22121.16), '17': np.float64(100620.18000000001), '18': np.float64(133801.92), '19': np.float64(22121.16), '20': np.float64(130540.70000000001), '21': np.float64(120555.08), '22': np.float64(100654.52), '23': np.float64(168092.96), '24': np.float64(154846.12), '25': np.float64(157032.38), '26': np.float64(143785.53999999998), '27': np.float64(133836.26), '28': np.float64(164831.74), '29': np.float64(153771.16), '30': np.float64(143785.53999999998), '31': np.float64(145971.8), '32': np.float64(132724.96), '33': np.float64(11060.58), '34': np.float64(120555.08), '35': np.float64(122741.34000000001), '36': np.float64(119480.12000000001), '37': np.float64(142676.24), '38': np.float64(89593.94), '39': np.float64(120589.42), '40': np.float64(78533.36), '41': np.float64(157032.38), '42': np.float64(143785.53999999998), '43': np.float64(132724.96), '44': np.float64(111715.1), '45': np.float64(132724.96), '46': np.float64(134911.22), '47': np.float64(121664.37999999999), '48': np.float64(-33181.74), '49': np.float64(3.637978807091713e-12), '50': np.float64(75237.8), '51': np.float64(109494.50000000001), '52': np.float64(108419.54000000001), '53': np.float64(67438.44), '54': np.float64(131615.66), '55': np.float64(98468.26000000001), '56': np.float64(145971.8), '57': np.float64(111715.1), '58': np.float64(142710.58000000002), '59': np.float64(134911.22), '60': np.float64(121664.37999999999), '61': np.float64(110603.79999999999), '62': np.float64(86298.38), '63': np.float64(131650.0), '64': np.float64(122741.34000000001), '65': np.float64(111680.76000000001), '66': np.float64(119480.12000000001), '67': np.float64(142710.58), '68': np.float64(132724.96), '69': np.float64(121664.37999999999), '70': np.float64(157032.38), '71': np.float64(3.637978807091713e-12), '72': np.float64(75237.8), '73': np.float64(111680.76000000001), '74': np.float64(142676.24000000002), '75': np.float64(33181.740000000005), '76': np.float64(98433.92000000001), '77': np.float64(100620.18000000001), '78': np.float64(98468.26000000001), '79': np.float64(145971.8), '80': np.float64(131650.0), '81': np.float64(121664.37999999999), '82': np.float64(-11060.579999999998), '83': np.float64(64177.22), '84': np.float64(98433.92), '85': np.float64(131615.66), '86': np.float64(98468.26), '87': np.float64(110603.8), '88': np.float64(123850.64), '89': np.float64(111680.76000000001), '90': np.float64(110603.8), '91': np.float64(112790.06), '92': np.float64(19934.899999999998), '93': np.float64(53116.64), '94': np.float64(56377.86), '95': np.float64(87373.34), '96': np.float64(89559.6), '97': np.float64(120555.08), '98': np.float64(45317.28), '99': np.float64(78499.02), '100': np.float64(87407.68), '101': np.float64(123850.64), '102': np.float64(112790.06), '103': np.float64(89593.94), '104': np.float64(112790.06), '105': np.float64(101729.48), '106': np.float64(-22121.16), '107': np.float64(11060.58), '108': np.float64(89559.6), '109': np.float64(75237.8), '110': np.float64(100654.52), '111': np.float64(153736.82), '112': np.float64(44242.32), '113': np.float64(119480.12000000001), '114': np.float64(78499.02), '115': np.float64(109494.5), '116': np.float64(3.637978807091713e-12), '117': np.float64(142676.24), '118': np.float64(111715.1), '119': np.float64(109528.84), '120': np.float64(143785.53999999998), '121': np.float64(111715.1), '122': np.float64(145971.8), '123': np.float64(-33181.74), '124': np.float64(75237.8), '125': np.float64(109494.50000000001), '126': np.float64(142676.24000000002), '127': np.float64(3.637978807091713e-12), '128': np.float64(108419.54000000001), '129': np.float64(67438.44), '130': np.float64(98433.92000000001), '131': np.float64(131615.66), '132': np.float64(109528.84000000001), '133': np.float64(132724.96), '134': np.float64(134911.22), '135': np.float64(121664.37999999999), '136': np.float64(134911.22), '137': np.float64(131650.0), '138': np.float64(134911.22), '139': np.float64(123850.64), '140': np.float64(-44242.32), '141': np.float64(-11060.579999999998), '142': np.float64(67438.44), '143': np.float64(100620.18000000001), '144': np.float64(131615.66), '145': np.float64(-11060.579999999998), '146': np.float64(64177.22), '147': np.float64(22121.160000000003), '148': np.float64(97358.96), '149': np.float64(87373.34000000001), '150': np.float64(89559.6), '151': np.float64(120555.08000000002), '152': np.float64(67472.78), '153': np.float64(98468.26), '154': np.float64(134911.22), '155': np.float64(123850.64), '156': np.float64(53116.64), '157': np.float64(89559.6), '158': np.float64(120555.08), '159': np.float64(-22121.16), '160': np.float64(11060.580000000002), '161': np.float64(45317.28), '162': np.float64(76312.76), '163': np.float64(78499.02), '164': np.float64(76347.09999999999), '165': np.float64(123850.64), '166': np.float64(110603.8), '167': np.float64(89593.94), '168': np.float64(89593.94), '169': np.float64(109528.84), '170': np.float64(120589.42), '171': np.float64(109528.84), '172': np.float64(112790.06), '173': np.float64(-44242.32), '174': np.float64(123850.64), '175': np.float64(-11060.579999999998), '176': np.float64(98433.92), '177': np.float64(-11060.579999999998), '178': np.float64(97358.96), '179': np.float64(56377.86), '180': np.float64(86298.38), '181': np.float64(87407.68), '182': np.float64(53116.64), '183': np.float64(121664.38), '184': np.float64(131615.66), '185': np.float64(123850.64), '186': np.float64(131650.0), '187': np.float64(89593.94), '188': np.float64(110603.8), '189': np.float64(11060.58), '190': np.float64(112790.06), '191': np.float64(19934.899999999998), '192': np.float64(53116.64), '193': np.float64(89559.6), '194': np.float64(120555.08), '195': np.float64(53116.64), '196': np.float64(11060.580000000002), '197': np.float64(19934.899999999998), '198': np.float64(78499.02), '199': np.float64(89559.6), '200': np.float64(109494.5), '201': np.float64(56412.2), '202': np.float64(87407.68), '203': np.float64(123850.64), '204': np.float64(99543.22), '205': np.float64(89593.94), '206': np.float64(120589.42), '207': np.float64(78533.36), '208': np.float64(112790.06), '209': np.float64(-22121.16), '210': np.float64(99543.22), '211': np.float64(101729.48), '212': np.float64(45317.28), '213': np.float64(76312.76000000001), '214': np.float64(78499.02), '215': np.float64(109494.50000000001), '216': np.float64(-33181.73999999999), '217': np.float64(-22121.16), '218': np.float64(34256.700000000004), '219': np.float64(65252.18000000001), '220': np.float64(121664.38), '221': np.float64(45351.619999999995), '222': np.float64(78533.36), '223': np.float64(108419.54000000001), '224': np.float64(109528.84000000001), '225': np.float64(67472.78), '226': np.float64(101729.48000000001), '227': np.float64(88482.64), '228': np.float64(56377.86), '229': np.float64(-77424.06), '230': np.float64(-2186.260000000002), '231': np.float64(30995.48), '232': np.float64(34256.7), '233': np.float64(122775.68000000001), '234': np.float64(65252.18000000001), '235': np.float64(98433.92000000001), '236': np.float64(42056.06), '237': np.float64(-44242.31999999999), '238': np.float64(56377.86), '239': np.float64(34291.03999999999), '240': np.float64(65286.520000000004), '241': np.float64(23230.46), '242': np.float64(78533.36), '243': np.float64(54225.94), '244': np.float64(87407.68000000001), '245': np.float64(11060.580000000002), '246': np.float64(90668.90000000001), '247': np.float64(77422.06), '248': np.float64(-11060.58), '249': np.float64(64177.22), '250': np.float64(100620.18000000001), '251': np.float64(131615.66), '252': np.float64(133801.92), '253': np.float64(164797.4), '254': np.float64(22121.16), '255': np.float64(97358.96), '256': np.float64(120555.08), '257': np.float64(89593.94), '258': np.float64(157032.38), '259': np.float64(122775.68000000001), '260': np.float64(122775.68000000001), '261': np.float64(143785.53999999998), '262': np.float64(132724.96), '263': np.float64(53116.64), '264': np.float64(11060.58), '265': np.float64(153736.82), '266': np.float64(86298.38), '267': np.float64(78499.02), '268': np.float64(109494.5), '269': np.float64(89593.94), '270': np.float64(78533.36), '271': np.float64(164831.74), '272': np.float64(109528.84), '273': np.float64(143785.53999999998), '274': np.float64(122775.68000000001), '275': np.float64(153771.16), '276': np.float64(111715.1), '277': np.float64(145971.8), '278': np.float64(78499.02), '279': np.float64(134911.22), '280': np.float64(-33181.74), '281': np.float64(78499.02), '282': np.float64(142676.24000000002), '283': np.float64(3.637978807091713e-12), '284': np.float64(145971.8), '285': np.float64(75237.8), '286': np.float64(108419.54000000001), '287': np.float64(98433.92000000001), '288': np.float64(78533.36), '289': np.float64(109528.84000000001), '290': np.float64(67472.78), '291': np.float64(121664.37999999999), '292': np.float64(145971.8), '293': np.float64(132724.96), '294': np.float64(111715.1), '295': np.float64(142710.58000000002), '296': np.float64(100654.52), '297': np.float64(110603.79999999999), '298': np.float64(30995.48), '299': np.float64(-11060.579999999998), '300': np.float64(64177.22), '301': np.float64(108419.54000000001), '302': np.float64(77422.06), '303': np.float64(131615.66), '304': np.float64(64177.22), '305': np.float64(22121.160000000003), '306': np.float64(87373.34000000001), '307': np.float64(64177.22), '308': np.float64(67472.78), '309': np.float64(134911.22), '310': np.float64(110603.8), '311': np.float64(89559.6), '312': np.float64(100654.52), '313': np.float64(112790.06000000001), '314': np.float64(131650.0), '315': np.float64(89593.94), '316': np.float64(120589.42), '317': np.float64(112790.06), '318': np.float64(-33181.73999999999), '319': np.float64(99543.21999999999), '320': np.float64(120589.42), '321': np.float64(-33181.74), '322': np.float64(109494.50000000001), '323': np.float64(75237.8), '324': np.float64(111680.76000000001), '325': np.float64(56412.2), '326': np.float64(30995.48), '327': np.float64(108419.54000000001), '328': np.float64(131615.66), '329': np.float64(67438.44), '330': np.float64(100620.18000000001), '331': np.float64(131615.66), '332': np.float64(98468.26000000001), '333': np.float64(132724.96), '334': np.float64(134911.22), '335': np.float64(56412.2), '336': np.float64(111715.1), '337': np.float64(134911.22), '338': np.float64(-44242.32), '339': np.float64(76347.1), '340': np.float64(30995.48), '341': np.float64(-11060.579999999998), '342': np.float64(67438.44), '343': np.float64(131615.66), '344': np.float64(64177.22), '345': np.float64(97358.96), '346': np.float64(56377.86), '347': np.float64(87373.34000000001), '348': np.float64(89559.6), '349': np.float64(120555.08000000002), '350': np.float64(98468.26), '351': np.float64(53116.64), '352': np.float64(56412.2), '353': np.float64(87407.68), '354': np.float64(-22121.16), '355': np.float64(134911.22), '356': np.float64(109494.5), '357': np.float64(123850.64), '358': np.float64(110603.8), '359': np.float64(131650.0), '360': np.float64(123850.64), '361': np.float64(89559.6), '362': np.float64(110603.8), '363': np.float64(112790.06), '364': np.float64(19934.900000000005), '365': np.float64(-22121.159999999993), '366': np.float64(53116.64000000001), '367': np.float64(56377.86), '368': np.float64(89559.6), '369': np.float64(76312.76), '370': np.float64(120555.08000000002), '371': np.float64(121664.38), '372': np.float64(-22121.159999999993), '373': np.float64(153771.16), '374': np.float64(53116.64000000001), '375': np.float64(45351.619999999995), '376': np.float64(11060.580000000009), '377': np.float64(86298.38000000002), '378': np.float64(76312.76000000001), '379': np.float64(78499.02), '380': np.float64(45351.619999999995), '381': np.float64(78533.36), '382': np.float64(76347.1), '383': np.float64(123850.64000000001), '384': np.float64(110603.8), '385': np.float64(112790.06000000001), '386': np.float64(99543.22), '387': np.float64(121664.37999999999), '388': np.float64(89593.94), '389': np.float64(120589.42000000001), '390': np.float64(112790.06000000001), '391': np.float64(99543.22), '392': np.float64(88482.64), '393': np.float64(-66363.48), '394': np.float64(90668.90000000001), '395': np.float64(8874.32), '396': np.float64(-33181.73999999999), '397': np.float64(42056.060000000005), '398': np.float64(76312.76000000001), '399': np.float64(78499.02), '400': np.float64(134911.22), '401': np.float64(75237.8), '402': np.float64(67438.44), '403': np.float64(76347.1), '404': np.float64(34291.04), '405': np.float64(101729.48000000001), '406': np.float64(99543.22), '407': np.float64(98468.26000000001), '408': np.float64(88482.64), '409': np.float64(78533.36), '410': np.float64(109528.84000000001), '411': np.float64(67472.78), '412': np.float64(98468.26000000001), '413': np.float64(101729.48000000001), '414': np.float64(88482.64), '415': np.float64(-33181.74), '416': np.float64(78499.02), '417': np.float64(112790.06), '418': np.float64(109494.50000000001), '419': np.float64(142676.24000000002), '420': np.float64(75237.8), '421': np.float64(33181.740000000005), '422': np.float64(67438.44), '423': np.float64(98433.92000000001), '424': np.float64(100620.18000000001), '425': np.float64(131615.66), '426': np.float64(100620.18000000001), '427': np.float64(100620.18000000001), '428': np.float64(111680.76000000001), '429': np.float64(67438.44), '430': np.float64(-11060.579999999998), '431': np.float64(30995.48), '432': np.float64(111680.76000000001), '433': np.float64(142710.58000000002), '434': np.float64(89559.6), '435': np.float64(121664.37999999999), '436': np.float64(112790.06), '437': np.float64(131650.0), '438': np.float64(45317.28), '439': np.float64(-33181.73999999999), '440': np.float64(78533.36), '441': np.float64(89593.94), '442': np.float64(23230.46), '443': np.float64(33181.740000000005), '444': np.float64(-11060.579999999998), '445': np.float64(-11060.579999999998), '446': np.float64(42056.060000000005), '447': np.float64(109528.84000000001), '448': np.float64(145971.8), '449': np.float64(111680.76000000001), '450': np.float64(109494.50000000001), '451': np.float64(110603.8), '452': np.float64(42056.060000000005), '453': np.float64(132724.96), '454': np.float64(145971.8), '455': np.float64(66361.48), '456': np.float64(-11060.58), '457': np.float64(145971.8), '458': np.float64(78533.36), '459': np.float64(89593.94), '460': np.float64(100654.52), '461': np.float64(110603.79999999999), '462': np.float64(86298.38), '463': np.float64(11060.58), '464': np.float64(153736.82), '465': np.float64(120555.08), '466': np.float64(87407.68), '467': np.float64(67472.78), '468': np.float64(7.275957614183426e-12), '469': np.float64(-44242.32), '470': np.float64(168092.96), '471': np.float64(120555.08), '472': np.float64(101729.48000000001), '473': np.float64(153771.16), '474': np.float64(122775.68000000001), '475': np.float64(67472.78), '476': np.float64(120589.42), '477': np.float64(145971.8), '478': np.float64(164831.74), '479': np.float64(109494.50000000001), '480': np.float64(78499.02), '481': np.float64(-33181.74), '482': np.float64(109528.84000000001), '483': np.float64(120589.42), '484': np.float64(100654.52), '485': np.float64(-33181.73999999999), '486': np.float64(145971.8), '487': np.float64(130540.70000000001), '488': np.float64(110603.8), '489': np.float64(123850.64), '490': np.float64(87373.34000000001), '491': np.float64(64177.22), '492': np.float64(56412.2), '493': np.float64(120555.08000000002), '494': np.float64(89559.6), '495': np.float64(89593.94), '496': np.float64(55300.899999999994), '497': np.float64(97358.96), '498': np.float64(64177.22), '499': np.float64(132724.96), '500': np.float64(122775.68000000001), '501': np.float64(143785.53999999998), '502': np.float64(112790.06000000001), '503': np.float64(157032.38), '504': np.float64(67472.78), '505': np.float64(99543.21999999999), '506': np.float64(97358.96), '507': np.float64(131615.66), '508': np.float64(157032.38), '509': np.float64(22121.16), '510': np.float64(120589.42), '511': np.float64(65286.520000000004), '512': np.float64(54191.6), '513': np.float64(33181.74), '514': np.float64(87373.34000000001), '515': np.float64(56377.86), '516': np.float64(-22121.16), '517': np.float64(65252.18000000001), '518': np.float64(34256.7), '519': np.float64(121664.38), '520': np.float64(134911.22), '521': np.float64(145971.8), '522': np.float64(88482.64), '523': np.float64(131615.66), '524': np.float64(88482.64), '525': np.float64(65286.520000000004), '526': np.float64(164797.4), '527': np.float64(89593.94), '528': np.float64(101729.48000000001), '529': np.float64(75237.8), '530': np.float64(54191.600000000006), '531': np.float64(98468.26000000001), '532': np.float64(157032.38), '533': np.float64(100654.52), '534': np.float64(131615.66), '535': np.float64(120555.08), '536': np.float64(67472.78), '537': np.float64(67472.78), '538': np.float64(78499.02), '539': np.float64(111715.1), '540': np.float64(123850.64), '541': np.float64(78499.02), '542': np.float64(99543.22), '543': np.float64(44242.32), '544': np.float64(112790.06000000001), '545': np.float64(98468.26000000001), '546': np.float64(98433.92000000001), '547': np.float64(33181.74), '548': np.float64(54191.600000000006), '549': np.float64(75237.8), '550': np.float64(145971.8), '551': np.float64(34256.700000000004), '552': np.float64(-33181.73999999999), '553': np.float64(112790.06000000001), '554': np.float64(164831.74), '555': np.float64(42056.06), '556': np.float64(45317.28), '557': np.float64(-66363.48), '558': np.float64(88482.64), '559': np.float64(-44242.32), '560': np.float64(110603.79999999999), '561': np.float64(89593.94), '562': np.float64(120589.42), '563': np.float64(78533.36), '564': np.float64(34256.7), '565': np.float64(154846.12), '566': np.float64(19934.899999999998), '567': np.float64(112790.06), '568': np.float64(67472.78), '569': np.float64(19934.900000000005), '570': np.float64(110603.8), '571': np.float64(123850.64), '572': np.float64(120589.42), '573': np.float64(98468.26000000001), '574': np.float64(109494.5), '575': np.float64(-22121.16), '576': np.float64(99543.22), '577': np.float64(64177.22), '578': np.float64(66361.48), '579': np.float64(121664.38), '580': np.float64(134911.22), '581': np.float64(87373.34), '582': np.float64(111715.1), '583': np.float64(132724.96), '584': np.float64(87407.68), '585': np.float64(97358.96), '586': np.float64(154846.12), '587': np.float64(122775.68000000001), '588': np.float64(111715.1), '589': np.float64(56377.86), '590': np.float64(175857.98), '591': np.float64(3.637978807091713e-12), '592': np.float64(89559.6), '593': np.float64(120589.42000000001), '594': np.float64(112790.06000000001), '595': np.float64(7.275957614183426e-12), '596': np.float64(-22121.16), '597': np.float64(78533.36), '598': np.float64(98468.26), '599': np.float64(87373.34), '600': np.float64(101729.48), '601': np.float64(53116.64), '602': np.float64(45351.619999999995), '603': np.float64(75237.8), '604': np.float64(89593.94), '605': np.float64(123850.64), '606': np.float64(98433.92000000001), '607': np.float64(109494.50000000001), '608': np.float64(153771.16), '609': np.float64(99543.21999999999), '610': np.float64(157032.38), '611': np.float64(101729.48000000001), '612': np.float64(110603.79999999999), '613': np.float64(98468.26), '614': np.float64(89559.6), '615': np.float64(144862.5), '616': np.float64(56412.2), '617': np.float64(97358.96), '618': np.float64(22121.160000000003), '619': np.float64(64177.22), '620': np.float64(101729.48000000001), '621': np.float64(87407.68), '622': np.float64(30995.48), '623': np.float64(88482.64), '624': np.float64(53116.64), '625': np.float64(122741.34000000001), '626': np.float64(89593.94), '627': np.float64(66361.48), '628': np.float64(86298.38), '629': np.float64(101729.48), '630': np.float64(109528.84), '631': np.float64(78533.36), '632': np.float64(120555.08000000002), '633': np.float64(119480.12000000001), '634': np.float64(111715.1), '635': np.float64(111715.1), '636': np.float64(110603.8), '637': np.float64(56412.2), '638': np.float64(90668.90000000001), '639': np.float64(109494.5), '640': np.float64(86298.38000000002), '641': np.float64(78499.02), '642': np.float64(75237.8), '643': np.float64(45317.28), '644': np.float64(99543.22), '645': np.float64(86298.38), '646': np.float64(121664.37999999999), '647': np.float64(120589.42), '648': np.float64(-33181.74), '649': np.float64(53116.64), '650': np.float64(87373.34000000001), '651': np.float64(-22121.16), '652': np.float64(153771.16), '653': np.float64(157032.38), '654': np.float64(19934.899999999998), '655': np.float64(131615.66), '656': np.float64(-13246.84), '657': np.float64(89559.6), '658': np.float64(142710.58), '659': np.float64(19934.899999999998), '660': np.float64(122741.34000000001), '661': np.float64(99543.21999999999), '662': np.float64(42056.060000000005), '663': np.float64(-22121.16), '664': np.float64(-44242.31999999999), '665': np.float64(131650.0), '666': np.float64(54191.600000000006), '667': np.float64(123850.64), '668': np.float64(97358.96), '669': np.float64(134911.22), '670': np.float64(53116.64), '671': np.float64(86298.38), '672': np.float64(76347.1), '673': np.float64(112790.06000000001), '674': np.float64(98468.26), '675': np.float64(142710.58), '676': np.float64(89593.94), '677': np.float64(66361.48), '678': np.float64(67472.78), '679': np.float64(11060.580000000009), '680': np.float64(-22121.16), '681': np.float64(45351.619999999995), '682': np.float64(109528.84), '683': np.float64(100654.52), '684': np.float64(87373.34000000001), '685': np.float64(100654.52), '686': np.float64(100620.18000000001), '687': np.float64(109528.84), '688': np.float64(-66363.48), '689': np.float64(30995.48), '690': np.float64(-55302.9), '691': np.float64(76347.1), '692': np.float64(45351.619999999995), '693': np.float64(90668.90000000001), '694': np.float64(76347.1), '695': np.float64(175892.32), '696': np.float64(-11060.579999999998), '697': np.float64(98433.92), '698': np.float64(45351.619999999995), '699': np.float64(65252.18000000001), '700': np.float64(123850.64), '701': np.float64(76347.09999999999), '702': np.float64(56412.2), '703': np.float64(90668.90000000001), '704': np.float64(-44242.32), '705': np.float64(67438.44), '706': np.float64(56377.86), '707': np.float64(22121.160000000003), '708': np.float64(-11060.579999999998), '709': np.float64(153771.16), '710': np.float64(134911.22), '711': np.float64(98468.26), '712': np.float64(123850.64), '713': np.float64(11060.58), '714': np.float64(88482.64), '715': np.float64(109494.50000000001), '716': np.float64(121664.37999999999), '717': np.float64(67472.78), '718': np.float64(90668.90000000001), '719': np.float64(110603.8), '720': np.float64(78533.36), '721': np.float64(123850.64000000001), '722': np.float64(89559.6), '723': np.float64(98433.92000000001), '724': np.float64(56377.86), '725': np.float64(23230.46), '726': np.float64(65286.520000000004), '727': np.float64(33181.740000000005), '728': np.float64(142676.24000000002), '729': np.float64(122741.34000000001), '730': np.float64(78499.02), '731': np.float64(153736.82), '732': np.float64(22121.160000000003), '733': np.float64(132724.96), '734': np.float64(90668.90000000001), '735': np.float64(123850.64), '736': np.float64(143785.53999999998), '737': np.float64(100620.18000000001), '738': np.float64(101729.48), '739': np.float64(123850.64), '740': np.float64(121664.37999999999), '741': np.float64(164797.4), '742': np.float64(87373.34), '743': np.float64(133801.92), '744': np.float64(11060.58), '745': np.float64(75237.8), '746': np.float64(112790.06), '747': np.float64(65286.520000000004), '748': np.float64(-77424.06), '749': np.float64(112790.06), '750': np.float64(98468.26000000001), '751': np.float64(55300.899999999994), '752': np.float64(133801.92), '753': np.float64(-33181.73999999999), '754': np.float64(78499.02), '755': np.float64(-44242.31999999999), '756': np.float64(65252.18000000001), '757': np.float64(98433.92), '758': np.float64(142676.24000000002), '759': np.float64(98433.92), '760': np.float64(99543.21999999999), '761': np.float64(56377.86), '762': np.float64(19934.899999999998), '763': np.float64(30995.48), '764': np.float64(67472.78), '765': np.float64(122741.34000000001), '766': np.float64(120555.08), '767': np.float64(67438.44), '768': np.float64(-22121.159999999993), '769': np.float64(121664.37999999999), '770': np.float64(-22121.16), '771': np.float64(99543.22), '772': np.float64(110603.79999999999), '773': np.float64(88482.64), '774': np.float64(56377.86), '775': np.float64(100620.18000000001), '776': np.float64(64177.22), '777': np.float64(75237.8), '778': np.float64(90668.90000000001), '779': np.float64(-77424.06), '780': np.float64(42056.060000000005), '781': np.float64(56377.86), '782': np.float64(65286.520000000004), '783': np.float64(22121.16), '784': np.float64(43165.36), '785': np.float64(142710.58), '786': np.float64(100620.18000000001), '787': np.float64(112790.06000000001), '788': np.float64(54191.600000000006), '789': np.float64(77422.06), '790': np.float64(3.637978807091713e-12), '791': np.float64(89559.6), '792': np.float64(67472.78), '793': np.float64(65252.18000000001), '794': np.float64(142676.24000000002), '795': np.float64(44242.32), '796': np.float64(64177.22), '797': np.float64(77422.06), '798': np.float64(-33181.73999999999), '799': np.float64(53116.64), '800': np.float64(111680.76000000001), '801': np.float64(153771.16), '802': np.float64(154846.12), '803': np.float64(120555.08000000002), '804': np.float64(-33181.73999999999), '805': np.float64(112790.06), '806': np.float64(87373.34000000001), '807': np.float64(123850.64), '808': np.float64(88482.64), '809': np.float64(132724.96), '810': np.float64(98433.92000000001), '811': np.float64(-11060.579999999998), '812': np.float64(121664.37999999999), '813': np.float64(89593.94), '814': np.float64(-11060.579999999998), '815': np.float64(112790.06000000001), '816': np.float64(76347.1), '817': np.float64(109494.5), '818': np.float64(-11060.579999999998), '819': np.float64(64177.22), '820': np.float64(109494.50000000001), '821': np.float64(-55302.899999999994), '822': np.float64(87407.68000000001), '823': np.float64(-11060.579999999998), '824': np.float64(109528.84), '825': np.float64(132724.96), '826': np.float64(77422.06), '827': np.float64(42056.06), '828': np.float64(3.637978807091713e-12), '829': np.float64(-22121.16), '830': np.float64(143785.53999999998), '831': np.float64(134911.22), '832': np.float64(110603.79999999999), '833': np.float64(11060.580000000002), '834': np.float64(-44242.32), '835': np.float64(88482.64), '836': np.float64(-22121.159999999993), '837': np.float64(100620.18000000001), '838': np.float64(99543.22), '839': np.float64(112790.06000000001), '840': np.float64(120589.42), '841': np.float64(132724.96), '842': np.float64(132724.96), '843': np.float64(121664.37999999999), '844': np.float64(-33181.73999999999), '845': np.float64(132724.96), '846': np.float64(53116.64), '847': np.float64(130540.70000000001), '848': np.float64(99543.22), '849': np.float64(86298.38), '850': np.float64(11060.58), '851': np.float64(131615.66), '852': np.float64(100654.52), '853': np.float64(131615.66), '854': np.float64(112790.06000000001), '855': np.float64(78533.36), '856': np.float64(110603.8), '857': np.float64(144862.5), '858': np.float64(131650.0), '859': np.float64(75237.8), '860': np.float64(168092.96), '861': np.float64(109528.84000000001), '862': np.float64(45317.28), '863': np.float64(142676.24), '864': np.float64(56412.2), '865': np.float64(42056.06), '866': np.float64(44242.32), '867': np.float64(89593.94), '868': np.float64(34291.04), '869': np.float64(131650.0), '870': np.float64(168092.96), '871': np.float64(164831.74), '872': np.float64(134911.22), '873': np.float64(76347.1), '874': np.float64(109528.84), '875': np.float64(157032.38), '876': np.float64(132724.96), '877': np.float64(142676.24), '878': np.float64(79608.32), '879': np.float64(78499.02), '880': np.float64(-55302.899999999994), '881': np.float64(134911.22), '882': np.float64(111680.76000000001), '883': np.float64(3.637978807091713e-12), '884': np.float64(109528.84), '885': np.float64(22121.16), '886': np.float64(78533.36), '887': np.float64(100620.18000000001), '888': np.float64(-55302.899999999994), '889': np.float64(111680.76000000001), '890': np.float64(123850.64000000001), '891': np.float64(99543.22), '892': np.float64(131615.66), '893': np.float64(98433.92000000001), '894': np.float64(78533.36), '895': np.float64(111680.76000000001), '896': np.float64(110603.8), '897': np.float64(109494.50000000001), '898': np.float64(153736.82), '899': np.float64(97358.96), '900': np.float64(145971.8), '901': np.float64(89559.6), '902': np.float64(142710.58), '903': np.float64(89559.6), '904': np.float64(67438.44), '905': np.float64(110603.79999999999), '906': np.float64(89593.94), '907': np.float64(11060.58), '908': np.float64(22121.16), '909': np.float64(154846.12), '910': np.float64(64177.22), '911': np.float64(98433.92000000001), '912': np.float64(110603.8), '913': np.float64(53116.64), '914': np.float64(143785.53999999998), '915': np.float64(121664.37999999999), '916': np.float64(110603.8), '917': np.float64(131650.0), '918': np.float64(87373.34000000001), '919': np.float64(67438.44), '920': np.float64(112790.06000000001), '921': np.float64(-11060.57999999999), '922': np.float64(75237.8), '923': np.float64(142710.58000000002), '924': np.float64(45351.619999999995), '925': np.float64(134911.22), '926': np.float64(86298.38), '927': np.float64(45351.619999999995), '928': np.float64(100654.52), '929': np.float64(134911.22), '930': np.float64(42056.060000000005), '931': np.float64(164797.4), '932': np.float64(120555.08), '933': np.float64(132724.96), '934': np.float64(111680.76000000001), '935': np.float64(56377.86), '936': np.float64(56377.86), '937': np.float64(123850.64), '938': np.float64(87373.34000000001), '939': np.float64(78499.02), '940': np.float64(157032.38), '941': np.float64(109528.84000000001), '942': np.float64(56412.2), '943': np.float64(75237.8), '944': np.float64(22121.16), '945': np.float64(79608.31999999999), '946': np.float64(109528.84000000001), '947': np.float64(-55302.9), '948': np.float64(153736.82), '949': np.float64(88482.64), '950': np.float64(142676.24), '951': np.float64(100654.52), '952': np.float64(142710.58), '953': np.float64(134911.22), '954': np.float64(78533.36), '955': np.float64(-44242.31999999999), '956': np.float64(77422.06), '957': np.float64(153771.16), '958': np.float64(132724.96), '959': np.float64(42056.06), '960': np.float64(154846.12), '961': np.float64(120589.42), '962': np.float64(78533.36), '963': np.float64(120589.42), '964': np.float64(-44242.32), '965': np.float64(3.637978807091713e-12), '966': np.float64(111715.1), '967': np.float64(67438.44), '968': np.float64(75237.8), '969': np.float64(134911.22), '970': np.float64(120589.42000000001), '971': np.float64(179153.54), '972': np.float64(68547.74), '973': np.float64(11060.580000000009), '974': np.float64(142676.24000000002), '975': np.float64(86298.38), '976': np.float64(11060.58), '977': np.float64(121664.37999999999), '978': np.float64(142676.24), '979': np.float64(157032.38), '980': np.float64(100620.18000000001), '981': np.float64(132724.96), '982': np.float64(131615.66), '983': np.float64(134911.22), '984': np.float64(143785.53999999998), '985': np.float64(8874.32), '986': np.float64(42056.06), '987': np.float64(0.0), '988': np.float64(111680.76000000001), '989': np.float64(101729.48000000001), '990': np.float64(99543.21999999999), '991': np.float64(34256.700000000004), '992': np.float64(75237.8), '993': np.float64(142676.24), '994': np.float64(112790.06), '995': np.float64(87373.34000000001), '996': np.float64(99543.22), '997': np.float64(34256.700000000004), '998': np.float64(108419.54000000001), '999': np.float64(98468.26000000001), '1000': np.float64(112790.06), '1001': np.float64(76347.1), '1002': np.float64(120589.42), '1003': np.float64(134911.22), '1004': np.float64(67438.44), '1005': np.float64(153736.82), '1006': np.float64(76312.76000000001), '1007': np.float64(110603.8), '1008': np.float64(142710.58), '1009': np.float64(-22121.159999999993), '1010': np.float64(56377.86), '1011': np.float64(121664.37999999999), '1012': np.float64(157032.38), '1013': np.float64(98433.92000000001), '1014': np.float64(23196.120000000003), '1015': np.float64(11060.580000000009), '1016': np.float64(11060.58), '1017': np.float64(122775.68000000001), '1018': np.float64(100654.52), '1019': np.float64(64177.22), '1020': np.float64(19934.899999999998), '1021': np.float64(164797.4), '1022': np.float64(89559.6), '1023': np.float64(78533.36), '1024': np.float64(76312.76), '1025': np.float64(56377.86), '1026': np.float64(12135.54), '1027': np.float64(-55302.9), '1028': np.float64(141601.28), '1029': np.float64(134911.22), '1030': np.float64(42056.060000000005), '1031': np.float64(11060.580000000002), '1032': np.float64(97358.96), '1033': np.float64(76347.09999999999), '1034': np.float64(0.0), '1035': np.float64(76312.76000000001), '1036': np.float64(53116.64), '1037': np.float64(121664.37999999999), '1038': np.float64(145971.8), '1039': np.float64(3.637978807091713e-12), '1040': np.float64(144896.84), '1041': np.float64(110603.8), '1042': np.float64(100620.18000000001), '1043': np.float64(109494.5), '1044': np.float64(68547.74), '1045': np.float64(86298.38), '1046': np.float64(109494.50000000001), '1047': np.float64(109494.5), '1048': np.float64(53116.64), '1049': np.float64(30995.48), '1050': np.float64(122741.34000000001), '1051': np.float64(78499.02), '1052': np.float64(110603.8), '1053': np.float64(-33181.74), '1054': np.float64(87407.68), '1055': np.float64(87407.68000000001), '1056': np.float64(100654.52), '1057': np.float64(122741.34000000001), '1058': np.float64(130540.70000000001), '1059': np.float64(145971.8), '1060': np.float64(134911.22), '1061': np.float64(131650.0), '1062': np.float64(66361.48), '1063': np.float64(99543.22), '1064': np.float64(132724.96), '1065': np.float64(56377.86), '1066': np.float64(133836.26), '1067': np.float64(78499.02), '1068': np.float64(110603.8), '1069': np.float64(42056.060000000005), '1070': np.float64(-22121.16), '1071': np.float64(11060.58), '1072': np.float64(100620.18000000001), '1073': np.float64(123850.64), '1074': np.float64(99543.22), '1075': np.float64(53116.64), '1076': np.float64(44242.32), '1077': np.float64(121664.37999999999), '1078': np.float64(145971.8), '1079': np.float64(142676.24), '1080': np.float64(101729.48000000001), '1081': np.float64(89559.6), '1082': np.float64(143785.53999999998), '1083': np.float64(111680.76000000001), '1084': np.float64(55302.899999999994), '1085': np.float64(121664.37999999999), '1086': np.float64(109494.50000000001), '1087': np.float64(108419.54000000001), '1088': np.float64(142676.24000000002), '1089': np.float64(120555.08000000002), '1090': np.float64(119480.12000000001), '1091': np.float64(110603.8), '1092': np.float64(120589.42), '1093': np.float64(123850.64), '1094': np.float64(100620.18000000001), '1095': np.float64(98468.26), '1096': np.float64(120555.08), '1097': np.float64(121664.38), '1098': np.float64(66363.48), '1099': np.float64(100620.18000000001), '1100': np.float64(109528.84000000001), '1101': np.float64(109528.84), '1102': np.float64(153771.16), '1103': np.float64(109494.50000000001), '1104': np.float64(143785.54), '1105': np.float64(-11060.579999999998), '1106': np.float64(109528.84000000001), '1107': np.float64(67472.78), '1108': np.float64(119480.12000000001), '1109': np.float64(76312.76000000001), '1110': np.float64(120589.42), '1111': np.float64(132724.96), '1112': np.float64(143785.53999999998), '1113': np.float64(67438.44), '1114': np.float64(145971.8), '1115': np.float64(90668.90000000001), '1116': np.float64(109528.84), '1117': np.float64(-33181.73999999999), '1118': np.float64(121664.38), '1119': np.float64(101729.48000000001), '1120': np.float64(11060.58), '1121': np.float64(45351.619999999995), '1122': np.float64(111715.1), '1123': np.float64(131650.0), '1124': np.float64(67438.44), '1125': np.float64(-22121.16), '1126': np.float64(145971.8), '1127': np.float64(56377.86), '1128': np.float64(-11060.579999999998), '1129': np.float64(142676.24), '1130': np.float64(75237.8), '1131': np.float64(132724.96), '1132': np.float64(134911.22), '1133': np.float64(97358.96), '1134': np.float64(-2186.260000000002), '1135': np.float64(121664.37999999999), '1136': np.float64(86298.38), '1137': np.float64(75237.8), '1138': np.float64(110603.8), '1139': np.float64(111715.1), '1140': np.float64(87407.68), '1141': np.float64(11060.580000000002), '1142': np.float64(87373.34), '1143': np.float64(89593.94), '1144': np.float64(120555.08), '1145': np.float64(-33181.74), '1146': np.float64(-22121.16), '1147': np.float64(112790.06000000001), '1148': np.float64(3.637978807091713e-12), '1149': np.float64(120589.42), '1150': np.float64(153736.82), '1151': np.float64(88482.64), '1152': np.float64(67438.44), '1153': np.float64(86298.38), '1154': np.float64(112790.06), '1155': np.float64(131615.66), '1156': np.float64(89593.94), '1157': np.float64(134911.22), '1158': np.float64(67472.78), '1159': np.float64(100620.18000000001), '1160': np.float64(45351.619999999995), '1161': np.float64(66361.48), '1162': np.float64(98468.26000000001), '1163': np.float64(142710.58000000002), '1164': np.float64(67472.78), '1165': np.float64(101729.48000000001), '1166': np.float64(120589.42), '1167': np.float64(89559.6), '1168': np.float64(86298.38000000002), '1169': np.float64(121664.38), '1170': np.float64(109528.84000000001), '1171': np.float64(-55302.899999999994), '1172': np.float64(109494.50000000001), '1173': np.float64(111715.1), '1174': np.float64(98433.92), '1175': np.float64(157032.38), '1176': np.float64(45351.619999999995), '1177': np.float64(100654.52), '1178': np.float64(142710.58000000002), '1179': np.float64(120555.08), '1180': np.float64(142710.58000000002), '1181': np.float64(89593.94), '1182': np.float64(131650.0), '1183': np.float64(153736.82), '1184': np.float64(-11060.579999999998), '1185': np.float64(87407.68000000001), '1186': np.float64(134911.22), '1187': np.float64(110603.79999999999), '1188': np.float64(67472.78), '1189': np.float64(98433.92000000001), '1190': np.float64(122775.68000000001), '1191': np.float64(134911.22), '1192': np.float64(67438.44), '1193': np.float64(122775.68000000001), '1194': np.float64(64177.22), '1195': np.float64(64177.22), '1196': np.float64(87373.34000000001), '1197': np.float64(89593.94), '1198': np.float64(89593.94), '1199': np.float64(78499.02), '1200': np.float64(-44242.32), '1201': np.float64(64177.22), '1202': np.float64(7.275957614183426e-12), '1203': np.float64(22121.160000000003), '1204': np.float64(45351.619999999995), '1205': np.float64(97358.96), '1206': np.float64(33181.74), '1207': np.float64(120555.08000000002), '1208': np.float64(-44242.31999999999), '1209': np.float64(56412.2), '1210': np.float64(88482.64), '1211': np.float64(98468.26000000001), '1212': np.float64(86298.38), '1213': np.float64(108419.54000000001), '1214': np.float64(56412.2), '1215': np.float64(100654.52), '1216': np.float64(157032.38), '1217': np.float64(-55302.9), '1218': np.float64(56377.86), '1219': np.float64(76347.09999999999), '1220': np.float64(22121.160000000003), '1221': np.float64(100654.52), '1222': np.float64(45317.28), '1223': np.float64(134911.22), '1224': np.float64(43131.020000000004), '1225': np.float64(23196.120000000003), '1226': np.float64(132724.96), '1227': np.float64(56412.2), '1228': np.float64(120555.08), '1229': np.float64(87407.68), '1230': np.float64(145971.8), '1231': np.float64(109528.84000000001), '1232': np.float64(99543.22), '1233': np.float64(110603.8), '1234': np.float64(109528.84000000001), '1235': np.float64(76347.1), '1236': np.float64(112790.06), '1237': np.float64(77422.06), '1238': np.float64(89559.6), '1239': np.float64(53116.64000000001), '1240': np.float64(120555.08000000002), '1241': np.float64(88482.64), '1242': np.float64(157032.38), '1243': np.float64(-33181.74), '1244': np.float64(89593.94), '1245': np.float64(65252.18000000001), '1246': np.float64(89559.6), '1247': np.float64(76312.76000000001), '1248': np.float64(121664.38), '1249': np.float64(133836.26), '1250': np.float64(-22121.16), '1251': np.float64(56412.2), '1252': np.float64(145971.8), '1253': np.float64(78499.02), '1254': np.float64(8874.32), '1255': np.float64(78533.36), '1256': np.float64(44242.32), '1257': np.float64(11060.58), '1258': np.float64(98468.26000000001), '1259': np.float64(119480.12000000001), '1260': np.float64(78533.36), '1261': np.float64(89593.94), '1262': np.float64(144896.84), '1263': np.float64(55302.899999999994), '1264': np.float64(98433.92000000001), '1265': np.float64(109494.50000000001), '1266': np.float64(67438.44), '1267': np.float64(153736.82), '1268': np.float64(98433.92000000001), '1269': np.float64(65286.520000000004), '1270': np.float64(-44242.32), '1271': np.float64(56377.86), '1272': np.float64(67472.78), '1273': np.float64(56412.2), '1274': np.float64(120589.42), '1275': np.float64(100654.52), '1276': np.float64(119480.12000000001), '1277': np.float64(87373.34000000001), '1278': np.float64(67438.44), '1279': np.float64(67472.78), '1280': np.float64(98468.26), '1281': np.float64(56377.86), '1282': np.float64(56412.2), '1283': np.float64(87407.68), '1284': np.float64(100620.18000000001), '1285': np.float64(-44242.32), '1286': np.float64(109494.5), '1287': np.float64(131650.0), '1288': np.float64(56377.86), '1289': np.float64(110603.79999999999), '1290': np.float64(45351.619999999995), '1291': np.float64(112790.06000000001), '1292': np.float64(87373.34000000001), '1293': np.float64(112790.06), '1294': np.float64(45351.619999999995), '1295': np.float64(179153.54), '1296': np.float64(87407.68000000001), '1297': np.float64(42056.06), '1298': np.float64(77422.06), '1299': np.float64(75237.8), '1300': np.float64(108419.54000000001), '1301': np.float64(109494.50000000001), '1302': np.float64(87407.68000000001), '1303': np.float64(78533.36), '1304': np.float64(45317.28), '1305': np.float64(89559.6), '1306': np.float64(86298.38000000002), '1307': np.float64(67438.44), '1308': np.float64(33181.740000000005), '1309': np.float64(142676.24000000002), '1310': np.float64(65252.18000000001), '1311': np.float64(108419.54000000001), '1312': np.float64(109528.84), '1313': np.float64(109528.84000000001), '1314': np.float64(131615.66), '1315': np.float64(108419.54000000001), '1316': np.float64(77422.06), '1317': np.float64(67472.78), '1318': np.float64(76312.76000000001), '1319': np.float64(120555.08), '1320': np.float64(90668.90000000001), '1321': np.float64(98468.26000000001), '1322': np.float64(75237.8), '1323': np.float64(131615.66), '1324': np.float64(145971.8), '1325': np.float64(78499.02), '1326': np.float64(153736.82), '1327': np.float64(65252.18000000001), '1328': np.float64(131650.0), '1329': np.float64(22121.160000000003), '1330': np.float64(30995.48), '1331': np.float64(23196.120000000003), '1332': np.float64(64177.22), '1333': np.float64(110603.8), '1334': np.float64(30995.48), '1335': np.float64(67438.44), '1336': np.float64(120555.08000000002), '1337': np.float64(45317.28), '1338': np.float64(67472.78), '1339': np.float64(44242.32), '1340': np.float64(-44242.31999999999), '1341': np.float64(56412.2), '1342': np.float64(89593.94), '1343': np.float64(87407.68), '1344': np.float64(123850.64), '1345': np.float64(131650.0), '1346': np.float64(98468.26), '1347': np.float64(110603.8), '1348': np.float64(19934.899999999998), '1349': np.float64(100654.52), '1350': np.float64(131650.0), '1351': np.float64(145971.8), '1352': np.float64(123850.64), '1353': np.float64(134911.22), '1354': np.float64(112790.06), '1355': np.float64(67472.78), '1356': np.float64(-22121.159999999993), '1357': np.float64(112790.06000000001), '1358': np.float64(56412.2), '1359': np.float64(111715.1), '1360': np.float64(131650.0), '1361': np.float64(111715.1), '1362': np.float64(53116.64000000001), '1363': np.float64(100620.18000000001), '1364': np.float64(56377.86), '1365': np.float64(153736.82), '1366': np.float64(53116.64000000001), '1367': np.float64(45317.280000000006), '1368': np.float64(78499.02), '1369': np.float64(109494.50000000001), '1370': np.float64(33181.740000000005), '1371': np.float64(110603.79999999999), '1372': np.float64(87407.68), '1373': np.float64(67472.78), '1374': np.float64(7.275957614183426e-12), '1375': np.float64(33181.740000000005), '1376': np.float64(45351.619999999995), '1377': np.float64(77422.06), '1378': np.float64(142710.58000000002), '1379': np.float64(-11060.579999999998), '1380': np.float64(78499.02), '1381': np.float64(123850.64000000001), '1382': np.float64(89559.6), '1383': np.float64(56412.2), '1384': np.float64(45351.619999999995), '1385': np.float64(89593.94), '1386': np.float64(134911.22), '1387': np.float64(34291.03999999999), '1388': np.float64(120589.42000000001), '1389': np.float64(99543.21999999999), '1390': np.float64(3.637978807091713e-12), '1391': np.float64(109528.84000000001), '1392': np.float64(109528.84000000001), '1393': np.float64(120589.42), '1394': np.float64(-66363.48), '1395': np.float64(-55302.899999999994), '1396': np.float64(42056.060000000005), '1397': np.float64(45317.28), '1398': np.float64(76312.76000000001), '1399': np.float64(78499.02), '1400': np.float64(64177.22), '1401': np.float64(123850.64), '1402': np.float64(109494.50000000001), '1403': np.float64(101729.48000000001), '1404': np.float64(42056.060000000005), '1405': np.float64(75237.8), '1406': np.float64(100654.52), '1407': np.float64(98468.26000000001), '1408': np.float64(34256.700000000004), '1409': np.float64(98433.92), '1410': np.float64(64177.22), '1411': np.float64(67438.44), '1412': np.float64(54225.94), '1413': np.float64(98433.92000000001), '1414': np.float64(86298.38000000002), '1415': np.float64(34291.04), '1416': np.float64(99543.22), '1417': np.float64(142710.58000000002), '1418': np.float64(65286.520000000004), '1419': np.float64(101729.48000000001), '1420': np.float64(101729.48000000001), '1421': np.float64(123850.64), '1422': np.float64(90668.90000000001), '1423': np.float64(-33181.74), '1424': np.float64(134911.22), '1425': np.float64(75237.8), '1426': np.float64(78499.02), '1427': np.float64(111680.76000000001), '1428': np.float64(8874.32), '1429': np.float64(65252.18000000001), '1430': np.float64(142676.24000000002), '1431': np.float64(75237.8), '1432': np.float64(33181.740000000005), '1433': np.float64(33181.740000000005), '1434': np.float64(120589.42), '1435': np.float64(78533.36), '1436': np.float64(56412.2), '1437': np.float64(67472.78), '1438': np.float64(34291.04), '1439': np.float64(121664.37999999999), '1440': np.float64(123850.64), '1441': np.float64(145971.8), '1442': np.float64(134911.22), '1443': np.float64(111715.1), '1444': np.float64(131650.0), '1445': np.float64(30995.48), '1446': np.float64(131650.0), '1447': np.float64(-11060.579999999998), '1448': np.float64(66361.48), '1449': np.float64(64177.22), '1450': np.float64(67438.44), '1451': np.float64(109494.50000000001), '1452': np.float64(98433.92), '1453': np.float64(121664.37999999999), '1454': np.float64(98433.92), '1455': np.float64(-11060.579999999998), '1456': np.float64(99543.22), '1457': np.float64(-33181.74), '1458': np.float64(64177.22), '1459': np.float64(22121.160000000003), '1460': np.float64(67438.44), '1461': np.float64(89559.6), '1462': np.float64(78533.36), '1463': np.float64(11060.580000000009), '1464': np.float64(56377.86), '1465': np.float64(123850.64), '1466': np.float64(87373.34000000001), '1467': np.float64(112790.06), '1468': np.float64(120555.08000000002), '1469': np.float64(67472.78), '1470': np.float64(56412.2), '1471': np.float64(99543.21999999999), '1472': np.float64(53116.64), '1473': np.float64(56412.2), '1474': np.float64(33181.740000000005), '1475': np.float64(123850.64), '1476': np.float64(100654.52), '1477': np.float64(79608.31999999999), '1478': np.float64(97358.96), '1479': np.float64(120589.42), '1480': np.float64(53116.64000000001), '1481': np.float64(120589.42), '1482': np.float64(99543.21999999999), '1483': np.float64(-55302.899999999994), '1484': np.float64(78499.02), '1485': np.float64(19934.900000000005), '1486': np.float64(89559.6), '1487': np.float64(64177.22), '1488': np.float64(53116.64000000001), '1489': np.float64(110603.8), '1490': np.float64(120555.08000000002), '1491': np.float64(-22121.159999999993), '1492': np.float64(8874.32), '1493': np.float64(53116.64000000001), '1494': np.float64(120555.08000000002), '1495': np.float64(30995.48), '1496': np.float64(100654.52), '1497': np.float64(45317.280000000006), '1498': np.float64(78533.36), '1499': np.float64(88482.64), '1500': np.float64(76312.76000000001), '1501': np.float64(53116.64), '1502': np.float64(123850.64), '1503': np.float64(78499.02), '1504': np.float64(76347.1), '1505': np.float64(109528.84000000001), '1506': np.float64(89593.94), '1507': np.float64(109528.84000000001), '1508': np.float64(33181.740000000005), '1509': np.float64(-66363.48), '1510': np.float64(45317.28), '1511': np.float64(87407.68), '1512': np.float64(8874.32), '1513': np.float64(142710.58), '1514': np.float64(76312.76000000001), '1515': np.float64(78499.02), '1516': np.float64(109494.50000000001), '1517': np.float64(168092.96), '1518': np.float64(56412.2), '1519': np.float64(98468.26000000001), '1520': np.float64(120589.42), '1521': np.float64(42056.060000000005), '1522': np.float64(7.275957614183426e-12), '1523': np.float64(75237.8), '1524': np.float64(145971.8), '1525': np.float64(99543.22), '1526': np.float64(67472.78), '1527': np.float64(101729.48000000001), '1528': np.float64(88482.64), '1529': np.float64(88482.64), '1530': np.float64(-11060.57999999999), '1531': np.float64(56377.86), '1532': np.float64(89559.6), '1533': np.float64(109528.84000000001), '1534': np.float64(120555.08000000002), '1535': np.float64(131650.0), '1536': np.float64(-22121.159999999993), '1537': np.float64(121664.37999999999), '1538': np.float64(121664.37999999999), '1539': np.float64(53116.64000000001), '1540': np.float64(99543.22), '1541': np.float64(45317.280000000006), '1542': np.float64(78499.02), '1543': np.float64(45317.280000000006), '1544': np.float64(123850.64000000001), '1545': np.float64(131650.0), '1546': np.float64(110603.8), '1547': np.float64(109494.5), '1548': np.float64(67438.44), '1549': np.float64(12169.879999999997), '1550': np.float64(99543.22), '1551': np.float64(109494.5), '1552': np.float64(120555.08), '1553': np.float64(99543.22), '1554': np.float64(88482.64), '1555': np.float64(78499.02), '1556': np.float64(-66363.48), '1557': np.float64(76312.76), '1558': np.float64(112790.06000000001), '1559': np.float64(42056.060000000005), '1560': np.float64(76347.1), '1561': np.float64(76312.76000000001), '1562': np.float64(76347.1), '1563': np.float64(78499.02), '1564': np.float64(120589.42), '1565': np.float64(7.275957614183426e-12), '1566': np.float64(75237.8), '1567': np.float64(99543.22), '1568': np.float64(98433.92000000001), '1569': np.float64(67438.44), '1570': np.float64(64177.22), '1571': np.float64(99543.22), '1572': np.float64(87407.68), '1573': np.float64(101729.48000000001), '1574': np.float64(88482.64), '1575': np.float64(110603.8), '1576': np.float64(108419.54000000001), '1577': np.float64(78533.36), '1578': np.float64(101729.48000000001), '1579': np.float64(109528.84000000001), '1580': np.float64(8874.32), '1581': np.float64(98468.26000000001), '1582': np.float64(88482.64), '1583': np.float64(77422.06), '1584': np.float64(87373.34000000001), '1585': np.float64(-77424.06), '1586': np.float64(145971.8), '1587': np.float64(30995.48), '1588': np.float64(3.637978807091713e-12), '1589': np.float64(98433.92000000001), '1590': np.float64(-11060.57999999999), '1591': np.float64(64177.22), '1592': np.float64(8874.32), '1593': np.float64(42056.060000000005), '1594': np.float64(54225.94), '1595': np.float64(112790.06), '1596': np.float64(101729.48000000001), '1597': np.float64(64177.22), '1598': np.float64(132724.96), '1599': np.float64(90668.90000000001), '1600': np.float64(122775.68000000001), '1601': np.float64(67472.78), '1602': np.float64(98468.26000000001), '1603': np.float64(87373.34000000001), '1604': np.float64(79608.32), '1605': np.float64(168092.96), '1606': np.float64(22121.160000000003), '1607': np.float64(87407.68000000001), '1608': np.float64(-88484.64), '1609': np.float64(121664.37999999999), '1610': np.float64(-13246.84), '1611': np.float64(153771.16), '1612': np.float64(-55302.899999999994), '1613': np.float64(19934.899999999998), '1614': np.float64(12135.54), '1615': np.float64(23196.12), '1616': np.float64(76312.76), '1617': np.float64(53116.64), '1618': np.float64(110603.8), '1619': np.float64(43131.020000000004), '1620': np.float64(23230.459999999995), '1621': np.float64(55302.899999999994), '1622': np.float64(108419.54000000001), '1623': np.float64(87407.68000000001), '1624': np.float64(45351.619999999995), '1625': np.float64(54225.939999999995), '1626': np.float64(90668.9), '1627': np.float64(11060.58), '1628': np.float64(66361.48), '1629': np.float64(87407.68000000001), '1630': np.float64(76347.1), '1631': np.float64(89593.94), '1632': np.float64(77422.06), '1633': np.float64(98433.92000000001), '1634': np.float64(42056.06), '1635': np.float64(90668.9), '1636': np.float64(43165.36), '1637': np.float64(78533.36), '1638': np.float64(101729.48000000001), '1639': np.float64(12169.879999999997), '1640': np.float64(121664.37999999999), '1641': np.float64(54225.939999999995), '1642': np.float64(34291.03999999999), '1643': np.float64(-22121.16), '1644': np.float64(23230.459999999995), '1645': np.float64(-11060.58), '1646': np.float64(45317.28), '1647': np.float64(45317.28), '1648': np.float64(53116.64), '1649': np.float64(101729.48000000001), '1650': np.float64(-22121.159999999993), '1651': np.float64(87373.34000000001), '1652': np.float64(23196.12), '1653': np.float64(-55302.899999999994), '1654': np.float64(-88484.64), '1655': np.float64(78533.36), '1656': np.float64(98468.26), '1657': np.float64(77422.06), '1658': np.float64(86298.38), '1659': np.float64(67472.78), '1660': np.float64(99543.21999999999), '1661': np.float64(56377.86), '1662': np.float64(30995.48), '1663': np.float64(-55302.9), '1664': np.float64(34256.7), '1665': np.float64(134911.22), '1666': np.float64(30995.48), '1667': np.float64(86298.38), '1668': np.float64(133836.26), '1669': np.float64(-44242.31999999999), '1670': np.float64(77422.06), '1671': np.float64(131615.66), '1672': np.float64(67472.78), '1673': np.float64(109528.84000000001), '1674': np.float64(78533.36), '1675': np.float64(109494.5), '1676': np.float64(88482.64), '1677': np.float64(65286.520000000004), '1678': np.float64(34291.04), '1679': np.float64(3.637978807091713e-12), '1680': np.float64(98433.92000000001), '1681': np.float64(76347.1), '1682': np.float64(90668.90000000001), '1683': np.float64(65252.18000000001), '1684': np.float64(75237.8), '1685': np.float64(7.275957614183426e-12), '1686': np.float64(42056.060000000005), '1687': np.float64(-33181.73999999999), '1688': np.float64(122741.34000000001), '1689': np.float64(111680.76000000001), '1690': np.float64(42056.060000000005), '1691': np.float64(-66363.48), '1692': np.float64(143785.53999999998), '1693': np.float64(109528.84000000001), '1694': np.float64(89593.94), '1695': np.float64(99543.22), '1696': np.float64(110603.8), '1697': np.float64(45351.619999999995), '1698': np.float64(109494.50000000001), '1699': np.float64(-22121.159999999993), '1700': np.float64(76312.76000000001), '1701': np.float64(78533.36), '1702': np.float64(11060.580000000009), '1703': np.float64(65252.18000000001), '1704': np.float64(120555.08000000002), '1705': np.float64(87373.34000000001), '1706': np.float64(99543.22), '1707': np.float64(-22121.159999999993), '1708': np.float64(97358.96), '1709': np.float64(19934.900000000005), '1710': np.float64(-55302.899999999994), '1711': np.float64(157032.38), '1712': np.float64(76312.76000000001), '1713': np.float64(90668.90000000001), '1714': np.float64(111680.76000000001), '1715': np.float64(101729.48000000001), '1716': np.float64(109528.84000000001), '1717': np.float64(133836.26), '1718': np.float64(78533.36), '1719': np.float64(101729.48000000001), '1720': np.float64(65286.520000000004), '1721': np.float64(75237.8), '1722': np.float64(42056.060000000005), '1723': np.float64(86298.38), '1724': np.float64(-33181.73999999999), '1725': np.float64(34291.04), '1726': np.float64(78499.02), '1727': np.float64(42056.06), '1728': np.float64(-22121.16), '1729': np.float64(45317.28), '1730': np.float64(145971.8), '1731': np.float64(-33181.73999999999), '1732': np.float64(88482.64), '1733': np.float64(98468.26000000001), '1734': np.float64(87373.34000000001), '1735': np.float64(99543.22), '1736': np.float64(99543.21999999999), '1737': np.float64(121664.37999999999), '1738': np.float64(99543.21999999999), '1739': np.float64(89593.94), '1740': np.float64(56412.2), '1741': np.float64(87407.68000000001), '1742': np.float64(164831.74), '1743': np.float64(56412.2), '1744': np.float64(109494.50000000001), '1745': np.float64(76312.76000000001), '1746': np.float64(88482.64), '1747': np.float64(45317.280000000006), '1748': np.float64(-22121.159999999993), '1749': np.float64(45351.619999999995), '1750': np.float64(-22121.159999999993), '1751': np.float64(120555.08000000002), '1752': np.float64(53116.64000000001), '1753': np.float64(134911.22), '1754': np.float64(19934.900000000005), '1755': np.float64(-55302.899999999994), '1756': np.float64(67472.78), '1757': np.float64(90668.90000000001), '1758': np.float64(112790.06000000001), '1759': np.float64(110603.8), '1760': np.float64(123850.64), '1761': np.float64(76347.09999999999), '1762': np.float64(67438.44), '1763': np.float64(120589.42), '1764': np.float64(109528.84000000001), '1765': np.float64(131650.0), '1766': np.float64(100654.52), '1767': np.float64(121664.38), '1768': np.float64(100620.18000000001), '1769': np.float64(111680.76000000001), '1770': np.float64(134911.22), '1771': np.float64(87407.68), '1772': np.float64(120555.08000000002), '1773': np.float64(89559.6), '1774': np.float64(109528.84000000001), '1775': np.float64(87373.34000000001), '1776': np.float64(56377.86), '1777': np.float64(123850.64), '1778': np.float64(67438.44), '1779': np.float64(165906.69999999998), '1780': np.float64(22121.160000000003), '1781': np.float64(120589.42), '1782': np.float64(-11060.579999999998), '1783': np.float64(100620.18000000001), '1784': np.float64(98433.92), '1785': np.float64(131615.66), '1786': np.float64(67438.44), '1787': np.float64(100620.18000000001), '1788': np.float64(64177.22), '1789': np.float64(67438.44), '1790': np.float64(-44242.32), '1791': np.float64(75237.8), '1792': np.float64(78533.36), '1793': np.float64(123850.64), '1794': np.float64(30995.48), '1795': np.float64(131650.0), '1796': np.float64(76312.76000000001), '1797': np.float64(100654.52), '1798': np.float64(142710.58000000002), '1799': np.float64(87407.68000000001), '1800': np.float64(134911.22)}\n"
     ]
    }
   ],
   "source": [
    "def calculate_cut_values(graph, solutions):\n",
    "    \"\"\"\n",
    "    Evaluate the cut values using the MaxCut formulation.\n",
    "    \n",
    "    Parameters:\n",
    "        graph (nx.Graph): The graph with edges and weights.\n",
    "        solutions (dict): Dictionary of solutions where keys are solution IDs\n",
    "                          and values are binary strings representing partitions.\n",
    "    \n",
    "    Returns:\n",
    "        dict: Dictionary mapping solution IDs to their cut values.\n",
    "    \"\"\"\n",
    "    cut_values = {}\n",
    "    for sol_id, binary_string in solutions.items():\n",
    "        x = list(map(int, binary_string))  # Convert binary string to list of integers\n",
    "        cut_value = 0\n",
    "        for u, v, data in graph.edges(data=True):\n",
    "            w_uv = data.get('weight', 1)  # Default weight is 1 if not provided\n",
    "            cut_value += w_uv * (x[u] + x[v] - 2 * x[u] * x[v])\n",
    "        cut_values[sol_id] = cut_value\n",
    "    return cut_values\n",
    "\n",
    "# Compute cut values\n",
    "cut_values = calculate_cut_values(sampleGraph3, binary_dict)\n",
    "print(cut_values)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {},
   "outputs": [],
   "source": [
    "def maxcut_to_qubo(maxcut_values, edge_weights, q_diag, q_off_diag):\n",
    "    \"\"\"\n",
    "    Convert MaxCut values to QUBO values.\n",
    "    \n",
    "    Parameters:\n",
    "        maxcut_values (dict): MaxCut values {solution_id: maxcut_value}.\n",
    "        edge_weights (dict): Weights of edges {edge: weight}.\n",
    "        q_diag (list): Diagonal elements q_{ii}.\n",
    "        q_off_diag (dict): Off-diagonal elements q_{ij}.\n",
    "\n",
    "    Returns:\n",
    "        dict: QUBO values {solution_id: qubo_value}.\n",
    "    \"\"\"\n",
    "    # Step 1: Compute the total weight of edges\n",
    "    total_weight = sum(edge_weights.values())\n",
    "    \n",
    "    # Step 2: Compute the constant C\n",
    "    C = (1/4) * (\n",
    "        total_weight + 2 * sum(q_diag) + sum(q_off_diag.values())\n",
    "    )\n",
    "    \n",
    "    # Step 3: Compute QUBO values\n",
    "    qubo_values = {}\n",
    "    for sol_id, W in maxcut_values.items():\n",
    "        qubo_values[sol_id] = -W / 2 + C\n",
    "    \n",
    "    return qubo_values, C\n",
    "\n",
    "maxcut_values = cut_values\n",
    "edge_weights = nx.get_edge_attributes(sampleGraph3, 'weight')\n",
    "q_diag = np.diag(Q).tolist()\n",
    "# calculate the off diagonal sum is for i < j\n",
    "q_off_diag = {}\n",
    "for i in range(Q.shape[0]):\n",
    "    for j in range(i+1, Q.shape[1]):\n",
    "        q_off_diag[(i, j)] = Q[i, j] + Q[j, i]\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'0': np.float64(-9968.449999999993), '1': np.float64(-60278.53999999999), '2': np.float64(11059.580000000009), '3': np.float64(-5531.28999999999), '4': np.float64(-43150.18999999999), '5': np.float64(-39250.509999999995), '6': np.float64(-54748.249999999985), '7': np.float64(-28207.099999999995), '8': np.float64(-22676.809999999994), '9': np.float64(-38174.54999999999), '10': np.float64(-49772.609999999986), '11': np.float64(-39267.67999999999), '12': np.float64(-56396.029999999984), '13': np.float64(-49772.609999999986), '14': np.float64(-44242.31999999999), '15': np.float64(33180.740000000005), '16': np.float64(16589.87000000001), '17': np.float64(-22659.639999999996), '18': np.float64(-39250.509999999995), '19': np.float64(16589.87000000001), '20': np.float64(-37619.899999999994), '21': np.float64(-32627.089999999993), '22': np.float64(-22676.809999999994), '23': np.float64(-56396.029999999984), '24': np.float64(-49772.609999999986), '25': np.float64(-50865.73999999999), '26': np.float64(-44242.31999999998), '27': np.float64(-39267.67999999999), '28': np.float64(-54765.419999999984), '29': np.float64(-49235.12999999999), '30': np.float64(-44242.31999999998), '31': np.float64(-45335.44999999998), '32': np.float64(-38712.029999999984), '33': np.float64(22120.160000000007), '34': np.float64(-32627.089999999993), '35': np.float64(-33720.22), '36': np.float64(-32089.609999999997), '37': np.float64(-43687.669999999984), '38': np.float64(-17146.519999999993), '39': np.float64(-32644.25999999999), '40': np.float64(-11616.229999999992), '41': np.float64(-50865.73999999999), '42': np.float64(-44242.31999999998), '43': np.float64(-38712.029999999984), '44': np.float64(-28207.099999999995), '45': np.float64(-38712.029999999984), '46': np.float64(-39805.15999999999), '47': np.float64(-33181.73999999999), '48': np.float64(44241.32000000001), '49': np.float64(27650.450000000004), '50': np.float64(-9968.449999999993), '51': np.float64(-27096.8), '52': np.float64(-26559.319999999996), '53': np.float64(-6068.769999999993), '54': np.float64(-38157.37999999999), '55': np.float64(-21583.679999999997), '56': np.float64(-45335.44999999998), '57': np.float64(-28207.099999999995), '58': np.float64(-43704.84), '59': np.float64(-39805.15999999999), '60': np.float64(-33181.73999999999), '61': np.float64(-27651.449999999986), '62': np.float64(-15498.739999999994), '63': np.float64(-38174.54999999999), '64': np.float64(-33720.22), '65': np.float64(-28189.929999999997), '66': np.float64(-32089.609999999997), '67': np.float64(-43704.83999999998), '68': np.float64(-38712.029999999984), '69': np.float64(-33181.73999999999), '70': np.float64(-50865.73999999999), '71': np.float64(27650.450000000004), '72': np.float64(-9968.449999999993), '73': np.float64(-28189.929999999997), '74': np.float64(-43687.67), '75': np.float64(11059.580000000005), '76': np.float64(-21566.51), '77': np.float64(-22659.639999999996), '78': np.float64(-21583.679999999997), '79': np.float64(-45335.44999999998), '80': np.float64(-38174.54999999999), '81': np.float64(-33181.73999999999), '82': np.float64(33180.740000000005), '83': np.float64(-4438.159999999993), '84': np.float64(-21566.50999999999), '85': np.float64(-38157.37999999999), '86': np.float64(-21583.67999999999), '87': np.float64(-27651.449999999993), '88': np.float64(-34274.869999999995), '89': np.float64(-28189.929999999997), '90': np.float64(-27651.449999999993), '91': np.float64(-28744.57999999999), '92': np.float64(17683.000000000007), '93': np.float64(1092.1300000000083), '94': np.float64(-538.4799999999923), '95': np.float64(-16036.21999999999), '96': np.float64(-17129.349999999995), '97': np.float64(-32627.089999999993), '98': np.float64(4991.810000000009), '99': np.float64(-11599.059999999994), '100': np.float64(-16053.389999999989), '101': np.float64(-34274.869999999995), '102': np.float64(-28744.57999999999), '103': np.float64(-17146.519999999993), '104': np.float64(-28744.57999999999), '105': np.float64(-23214.28999999999), '106': np.float64(38711.030000000006), '107': np.float64(22120.160000000007), '108': np.float64(-17129.349999999995), '109': np.float64(-9968.449999999993), '110': np.float64(-22676.809999999994), '111': np.float64(-49217.95999999999), '112': np.float64(5529.290000000008), '113': np.float64(-32089.609999999997), '114': np.float64(-11599.059999999994), '115': np.float64(-27096.799999999992), '116': np.float64(27650.450000000004), '117': np.float64(-43687.669999999984), '118': np.float64(-28207.099999999995), '119': np.float64(-27113.96999999999), '120': np.float64(-44242.31999999998), '121': np.float64(-28207.099999999995), '122': np.float64(-45335.44999999998), '123': np.float64(44241.32000000001), '124': np.float64(-9968.449999999993), '125': np.float64(-27096.8), '126': np.float64(-43687.67), '127': np.float64(27650.450000000004), '128': np.float64(-26559.319999999996), '129': np.float64(-6068.769999999993), '130': np.float64(-21566.51), '131': np.float64(-38157.37999999999), '132': np.float64(-27113.969999999998), '133': np.float64(-38712.029999999984), '134': np.float64(-39805.15999999999), '135': np.float64(-33181.73999999999), '136': np.float64(-39805.15999999999), '137': np.float64(-38174.54999999999), '138': np.float64(-39805.15999999999), '139': np.float64(-34274.869999999995), '140': np.float64(49771.61000000001), '141': np.float64(33180.740000000005), '142': np.float64(-6068.769999999993), '143': np.float64(-22659.639999999996), '144': np.float64(-38157.37999999999), '145': np.float64(33180.740000000005), '146': np.float64(-4438.159999999993), '147': np.float64(16589.870000000006), '148': np.float64(-21029.029999999995), '149': np.float64(-16036.219999999998), '150': np.float64(-17129.349999999995), '151': np.float64(-32627.09), '152': np.float64(-6085.939999999991), '153': np.float64(-21583.67999999999), '154': np.float64(-39805.15999999999), '155': np.float64(-34274.869999999995), '156': np.float64(1092.1300000000083), '157': np.float64(-17129.349999999995), '158': np.float64(-32627.089999999993), '159': np.float64(38711.030000000006), '160': np.float64(22120.160000000007), '161': np.float64(4991.810000000009), '162': np.float64(-10505.92999999999), '163': np.float64(-11599.059999999994), '164': np.float64(-10523.099999999988), '165': np.float64(-34274.869999999995), '166': np.float64(-27651.449999999993), '167': np.float64(-17146.519999999993), '168': np.float64(-17146.519999999993), '169': np.float64(-27113.96999999999), '170': np.float64(-32644.25999999999), '171': np.float64(-27113.96999999999), '172': np.float64(-28744.57999999999), '173': np.float64(49771.61000000001), '174': np.float64(-34274.869999999995), '175': np.float64(33180.740000000005), '176': np.float64(-21566.50999999999), '177': np.float64(33180.740000000005), '178': np.float64(-21029.029999999995), '179': np.float64(-538.4799999999923), '180': np.float64(-15498.739999999994), '181': np.float64(-16053.389999999989), '182': np.float64(1092.1300000000083), '183': np.float64(-33181.73999999999), '184': np.float64(-38157.37999999999), '185': np.float64(-34274.869999999995), '186': np.float64(-38174.54999999999), '187': np.float64(-17146.519999999993), '188': np.float64(-27651.449999999993), '189': np.float64(22120.160000000007), '190': np.float64(-28744.57999999999), '191': np.float64(17683.000000000007), '192': np.float64(1092.1300000000083), '193': np.float64(-17129.349999999995), '194': np.float64(-32627.089999999993), '195': np.float64(1092.1300000000083), '196': np.float64(22120.160000000007), '197': np.float64(17683.000000000007), '198': np.float64(-11599.059999999994), '199': np.float64(-17129.349999999995), '200': np.float64(-27096.799999999992), '201': np.float64(-555.6499999999905), '202': np.float64(-16053.389999999989), '203': np.float64(-34274.869999999995), '204': np.float64(-22121.159999999993), '205': np.float64(-17146.519999999993), '206': np.float64(-32644.25999999999), '207': np.float64(-11616.229999999992), '208': np.float64(-28744.57999999999), '209': np.float64(38711.030000000006), '210': np.float64(-22121.159999999993), '211': np.float64(-23214.28999999999), '212': np.float64(4991.810000000009), '213': np.float64(-10505.929999999997), '214': np.float64(-11599.059999999994), '215': np.float64(-27096.8), '216': np.float64(44241.32000000001), '217': np.float64(38711.030000000006), '218': np.float64(10522.100000000006), '219': np.float64(-4975.639999999996), '220': np.float64(-33181.73999999999), '221': np.float64(4974.64000000001), '222': np.float64(-11616.229999999992), '223': np.float64(-26559.319999999996), '224': np.float64(-27113.969999999998), '225': np.float64(-6085.939999999991), '226': np.float64(-23214.289999999997), '227': np.float64(-16590.86999999999), '228': np.float64(-538.4799999999923), '229': np.float64(66362.48000000001), '230': np.float64(28743.58000000001), '231': np.float64(12152.710000000008), '232': np.float64(10522.10000000001), '233': np.float64(-33737.39), '234': np.float64(-4975.639999999996), '235': np.float64(-21566.51), '236': np.float64(6622.420000000009), '237': np.float64(49771.61), '238': np.float64(-538.4799999999923), '239': np.float64(10504.930000000011), '240': np.float64(-4992.809999999994), '241': np.float64(16035.220000000008), '242': np.float64(-11616.229999999992), '243': np.float64(537.4800000000068), '244': np.float64(-16053.389999999996), '245': np.float64(22120.160000000007), '246': np.float64(-17683.999999999996), '247': np.float64(-11060.57999999999), '248': np.float64(33180.740000000005), '249': np.float64(-4438.159999999993), '250': np.float64(-22659.639999999996), '251': np.float64(-38157.37999999999), '252': np.float64(-39250.509999999995), '253': np.float64(-54748.249999999985), '254': np.float64(16589.87000000001), '255': np.float64(-21029.029999999995), '256': np.float64(-32627.089999999993), '257': np.float64(-17146.519999999993), '258': np.float64(-50865.73999999999), '259': np.float64(-33737.39), '260': np.float64(-33737.39), '261': np.float64(-44242.31999999998), '262': np.float64(-38712.029999999984), '263': np.float64(1092.1300000000083), '264': np.float64(22120.160000000007), '265': np.float64(-49217.95999999999), '266': np.float64(-15498.739999999994), '267': np.float64(-11599.059999999994), '268': np.float64(-27096.799999999992), '269': np.float64(-17146.519999999993), '270': np.float64(-11616.229999999992), '271': np.float64(-54765.419999999984), '272': np.float64(-27113.96999999999), '273': np.float64(-44242.31999999998), '274': np.float64(-33737.39), '275': np.float64(-49235.12999999999), '276': np.float64(-28207.099999999995), '277': np.float64(-45335.44999999998), '278': np.float64(-11599.059999999994), '279': np.float64(-39805.15999999999), '280': np.float64(44241.32000000001), '281': np.float64(-11599.059999999994), '282': np.float64(-43687.67), '283': np.float64(27650.450000000004), '284': np.float64(-45335.44999999998), '285': np.float64(-9968.449999999993), '286': np.float64(-26559.319999999996), '287': np.float64(-21566.51), '288': np.float64(-11616.229999999992), '289': np.float64(-27113.969999999998), '290': np.float64(-6085.939999999991), '291': np.float64(-33181.73999999999), '292': np.float64(-45335.44999999998), '293': np.float64(-38712.029999999984), '294': np.float64(-28207.099999999995), '295': np.float64(-43704.84), '296': np.float64(-22676.809999999994), '297': np.float64(-27651.449999999986), '298': np.float64(12152.710000000008), '299': np.float64(33180.740000000005), '300': np.float64(-4438.159999999993), '301': np.float64(-26559.319999999996), '302': np.float64(-11060.57999999999), '303': np.float64(-38157.37999999999), '304': np.float64(-4438.159999999993), '305': np.float64(16589.870000000006), '306': np.float64(-16036.219999999998), '307': np.float64(-4438.159999999993), '308': np.float64(-6085.939999999991), '309': np.float64(-39805.15999999999), '310': np.float64(-27651.449999999993), '311': np.float64(-17129.349999999995), '312': np.float64(-22676.809999999994), '313': np.float64(-28744.579999999998), '314': np.float64(-38174.54999999999), '315': np.float64(-17146.519999999993), '316': np.float64(-32644.25999999999), '317': np.float64(-28744.57999999999), '318': np.float64(44241.32000000001), '319': np.float64(-22121.159999999985), '320': np.float64(-32644.25999999999), '321': np.float64(44241.32000000001), '322': np.float64(-27096.8), '323': np.float64(-9968.449999999993), '324': np.float64(-28189.929999999997), '325': np.float64(-555.6499999999905), '326': np.float64(12152.710000000008), '327': np.float64(-26559.319999999996), '328': np.float64(-38157.37999999999), '329': np.float64(-6068.769999999993), '330': np.float64(-22659.639999999996), '331': np.float64(-38157.37999999999), '332': np.float64(-21583.679999999997), '333': np.float64(-38712.029999999984), '334': np.float64(-39805.15999999999), '335': np.float64(-555.6499999999905), '336': np.float64(-28207.099999999995), '337': np.float64(-39805.15999999999), '338': np.float64(49771.61000000001), '339': np.float64(-10523.099999999995), '340': np.float64(12152.710000000008), '341': np.float64(33180.740000000005), '342': np.float64(-6068.769999999993), '343': np.float64(-38157.37999999999), '344': np.float64(-4438.159999999993), '345': np.float64(-21029.029999999995), '346': np.float64(-538.4799999999923), '347': np.float64(-16036.219999999998), '348': np.float64(-17129.349999999995), '349': np.float64(-32627.09), '350': np.float64(-21583.67999999999), '351': np.float64(1092.1300000000083), '352': np.float64(-555.6499999999905), '353': np.float64(-16053.389999999989), '354': np.float64(38711.030000000006), '355': np.float64(-39805.15999999999), '356': np.float64(-27096.799999999992), '357': np.float64(-34274.869999999995), '358': np.float64(-27651.449999999993), '359': np.float64(-38174.54999999999), '360': np.float64(-34274.869999999995), '361': np.float64(-17129.349999999995), '362': np.float64(-27651.449999999993), '363': np.float64(-28744.57999999999), '364': np.float64(17683.000000000007), '365': np.float64(38711.030000000006), '366': np.float64(1092.1300000000047), '367': np.float64(-538.4799999999923), '368': np.float64(-17129.349999999995), '369': np.float64(-10505.92999999999), '370': np.float64(-32627.09), '371': np.float64(-33181.73999999999), '372': np.float64(38711.030000000006), '373': np.float64(-49235.12999999999), '374': np.float64(1092.1300000000047), '375': np.float64(4974.64000000001), '376': np.float64(22120.160000000003), '377': np.float64(-15498.740000000002), '378': np.float64(-10505.929999999997), '379': np.float64(-11599.059999999994), '380': np.float64(4974.64000000001), '381': np.float64(-11616.229999999992), '382': np.float64(-10523.099999999995), '383': np.float64(-34274.869999999995), '384': np.float64(-27651.449999999993), '385': np.float64(-28744.579999999998), '386': np.float64(-22121.159999999993), '387': np.float64(-33181.73999999999), '388': np.float64(-17146.519999999993), '389': np.float64(-32644.26), '390': np.float64(-28744.579999999998), '391': np.float64(-22121.159999999993), '392': np.float64(-16590.86999999999), '393': np.float64(60832.19), '394': np.float64(-17683.999999999996), '395': np.float64(23213.290000000008), '396': np.float64(44241.32000000001), '397': np.float64(6622.4200000000055), '398': np.float64(-10505.929999999997), '399': np.float64(-11599.059999999994), '400': np.float64(-39805.15999999999), '401': np.float64(-9968.449999999993), '402': np.float64(-6068.769999999993), '403': np.float64(-10523.099999999995), '404': np.float64(10504.930000000008), '405': np.float64(-23214.289999999997), '406': np.float64(-22121.159999999993), '407': np.float64(-21583.679999999997), '408': np.float64(-16590.86999999999), '409': np.float64(-11616.229999999992), '410': np.float64(-27113.969999999998), '411': np.float64(-6085.939999999991), '412': np.float64(-21583.679999999997), '413': np.float64(-23214.289999999997), '414': np.float64(-16590.86999999999), '415': np.float64(44241.32000000001), '416': np.float64(-11599.059999999994), '417': np.float64(-28744.57999999999), '418': np.float64(-27096.8), '419': np.float64(-43687.67), '420': np.float64(-9968.449999999993), '421': np.float64(11059.580000000005), '422': np.float64(-6068.769999999993), '423': np.float64(-21566.51), '424': np.float64(-22659.639999999996), '425': np.float64(-38157.37999999999), '426': np.float64(-22659.639999999996), '427': np.float64(-22659.639999999996), '428': np.float64(-28189.929999999997), '429': np.float64(-6068.769999999993), '430': np.float64(33180.740000000005), '431': np.float64(12152.710000000008), '432': np.float64(-28189.929999999997), '433': np.float64(-43704.84), '434': np.float64(-17129.349999999995), '435': np.float64(-33181.73999999999), '436': np.float64(-28744.57999999999), '437': np.float64(-38174.54999999999), '438': np.float64(4991.810000000009), '439': np.float64(44241.32000000001), '440': np.float64(-11616.229999999992), '441': np.float64(-17146.519999999993), '442': np.float64(16035.220000000008), '443': np.float64(11059.580000000005), '444': np.float64(33180.740000000005), '445': np.float64(33180.740000000005), '446': np.float64(6622.4200000000055), '447': np.float64(-27113.969999999998), '448': np.float64(-45335.44999999998), '449': np.float64(-28189.929999999997), '450': np.float64(-27096.8), '451': np.float64(-27651.449999999993), '452': np.float64(6622.4200000000055), '453': np.float64(-38712.029999999984), '454': np.float64(-45335.44999999998), '455': np.float64(-5530.28999999999), '456': np.float64(33180.740000000005), '457': np.float64(-45335.44999999998), '458': np.float64(-11616.229999999992), '459': np.float64(-17146.519999999993), '460': np.float64(-22676.809999999994), '461': np.float64(-27651.449999999986), '462': np.float64(-15498.739999999994), '463': np.float64(22120.160000000007), '464': np.float64(-49217.95999999999), '465': np.float64(-32627.089999999993), '466': np.float64(-16053.389999999989), '467': np.float64(-6085.939999999991), '468': np.float64(27650.450000000004), '469': np.float64(49771.61000000001), '470': np.float64(-56396.029999999984), '471': np.float64(-32627.089999999993), '472': np.float64(-23214.289999999997), '473': np.float64(-49235.12999999999), '474': np.float64(-33737.39), '475': np.float64(-6085.939999999991), '476': np.float64(-32644.25999999999), '477': np.float64(-45335.44999999998), '478': np.float64(-54765.419999999984), '479': np.float64(-27096.8), '480': np.float64(-11599.059999999994), '481': np.float64(44241.32000000001), '482': np.float64(-27113.969999999998), '483': np.float64(-32644.25999999999), '484': np.float64(-22676.809999999994), '485': np.float64(44241.32000000001), '486': np.float64(-45335.44999999998), '487': np.float64(-37619.899999999994), '488': np.float64(-27651.449999999993), '489': np.float64(-34274.869999999995), '490': np.float64(-16036.219999999998), '491': np.float64(-4438.159999999993), '492': np.float64(-555.6499999999905), '493': np.float64(-32627.09), '494': np.float64(-17129.349999999995), '495': np.float64(-17146.519999999993), '496': np.float64(1.0913936421275139e-11), '497': np.float64(-21029.029999999995), '498': np.float64(-4438.159999999993), '499': np.float64(-38712.029999999984), '500': np.float64(-33737.39), '501': np.float64(-44242.31999999998), '502': np.float64(-28744.579999999998), '503': np.float64(-50865.73999999999), '504': np.float64(-6085.939999999991), '505': np.float64(-22121.159999999985), '506': np.float64(-21029.029999999995), '507': np.float64(-38157.37999999999), '508': np.float64(-50865.73999999999), '509': np.float64(16589.87000000001), '510': np.float64(-32644.25999999999), '511': np.float64(-4992.809999999994), '512': np.float64(554.6500000000087), '513': np.float64(11059.580000000009), '514': np.float64(-16036.219999999998), '515': np.float64(-538.4799999999923), '516': np.float64(38711.030000000006), '517': np.float64(-4975.639999999996), '518': np.float64(10522.10000000001), '519': np.float64(-33181.73999999999), '520': np.float64(-39805.15999999999), '521': np.float64(-45335.44999999998), '522': np.float64(-16590.86999999999), '523': np.float64(-38157.37999999999), '524': np.float64(-16590.86999999999), '525': np.float64(-4992.809999999994), '526': np.float64(-54748.249999999985), '527': np.float64(-17146.519999999993), '528': np.float64(-23214.289999999997), '529': np.float64(-9968.449999999993), '530': np.float64(554.6500000000051), '531': np.float64(-21583.679999999997), '532': np.float64(-50865.73999999999), '533': np.float64(-22676.809999999994), '534': np.float64(-38157.37999999999), '535': np.float64(-32627.089999999993), '536': np.float64(-6085.939999999991), '537': np.float64(-6085.939999999991), '538': np.float64(-11599.059999999994), '539': np.float64(-28207.099999999995), '540': np.float64(-34274.869999999995), '541': np.float64(-11599.059999999994), '542': np.float64(-22121.159999999993), '543': np.float64(5529.290000000008), '544': np.float64(-28744.579999999998), '545': np.float64(-21583.679999999997), '546': np.float64(-21566.51), '547': np.float64(11059.580000000009), '548': np.float64(554.6500000000051), '549': np.float64(-9968.449999999993), '550': np.float64(-45335.44999999998), '551': np.float64(10522.100000000006), '552': np.float64(44241.32000000001), '553': np.float64(-28744.579999999998), '554': np.float64(-54765.419999999984), '555': np.float64(6622.420000000009), '556': np.float64(4991.810000000009), '557': np.float64(60832.19), '558': np.float64(-16590.86999999999), '559': np.float64(49771.61000000001), '560': np.float64(-27651.449999999986), '561': np.float64(-17146.519999999993), '562': np.float64(-32644.25999999999), '563': np.float64(-11616.229999999992), '564': np.float64(10522.10000000001), '565': np.float64(-49772.609999999986), '566': np.float64(17683.000000000007), '567': np.float64(-28744.57999999999), '568': np.float64(-6085.939999999991), '569': np.float64(17683.000000000007), '570': np.float64(-27651.449999999993), '571': np.float64(-34274.869999999995), '572': np.float64(-32644.25999999999), '573': np.float64(-21583.679999999997), '574': np.float64(-27096.799999999992), '575': np.float64(38711.030000000006), '576': np.float64(-22121.159999999993), '577': np.float64(-4438.159999999993), '578': np.float64(-5530.28999999999), '579': np.float64(-33181.73999999999), '580': np.float64(-39805.15999999999), '581': np.float64(-16036.21999999999), '582': np.float64(-28207.099999999995), '583': np.float64(-38712.029999999984), '584': np.float64(-16053.389999999989), '585': np.float64(-21029.029999999995), '586': np.float64(-49772.609999999986), '587': np.float64(-33737.39), '588': np.float64(-28207.099999999995), '589': np.float64(-538.4799999999923), '590': np.float64(-60278.53999999999), '591': np.float64(27650.450000000004), '592': np.float64(-17129.349999999995), '593': np.float64(-32644.26), '594': np.float64(-28744.579999999998), '595': np.float64(27650.450000000004), '596': np.float64(38711.030000000006), '597': np.float64(-11616.229999999992), '598': np.float64(-21583.67999999999), '599': np.float64(-16036.21999999999), '600': np.float64(-23214.28999999999), '601': np.float64(1092.1300000000083), '602': np.float64(4974.64000000001), '603': np.float64(-9968.449999999993), '604': np.float64(-17146.519999999993), '605': np.float64(-34274.869999999995), '606': np.float64(-21566.51), '607': np.float64(-27096.8), '608': np.float64(-49235.12999999999), '609': np.float64(-22121.159999999985), '610': np.float64(-50865.73999999999), '611': np.float64(-23214.289999999997), '612': np.float64(-27651.449999999986), '613': np.float64(-21583.67999999999), '614': np.float64(-17129.349999999995), '615': np.float64(-44780.79999999999), '616': np.float64(-555.6499999999905), '617': np.float64(-21029.029999999995), '618': np.float64(16589.870000000006), '619': np.float64(-4438.159999999993), '620': np.float64(-23214.289999999997), '621': np.float64(-16053.389999999989), '622': np.float64(12152.710000000008), '623': np.float64(-16590.86999999999), '624': np.float64(1092.1300000000083), '625': np.float64(-33720.22), '626': np.float64(-17146.519999999993), '627': np.float64(-5530.28999999999), '628': np.float64(-15498.739999999994), '629': np.float64(-23214.28999999999), '630': np.float64(-27113.96999999999), '631': np.float64(-11616.229999999992), '632': np.float64(-32627.09), '633': np.float64(-32089.609999999997), '634': np.float64(-28207.099999999995), '635': np.float64(-28207.099999999995), '636': np.float64(-27651.449999999993), '637': np.float64(-555.6499999999905), '638': np.float64(-17683.999999999996), '639': np.float64(-27096.799999999992), '640': np.float64(-15498.740000000002), '641': np.float64(-11599.059999999994), '642': np.float64(-9968.449999999993), '643': np.float64(4991.810000000009), '644': np.float64(-22121.159999999993), '645': np.float64(-15498.739999999994), '646': np.float64(-33181.73999999999), '647': np.float64(-32644.25999999999), '648': np.float64(44241.32000000001), '649': np.float64(1092.1300000000083), '650': np.float64(-16036.219999999998), '651': np.float64(38711.030000000006), '652': np.float64(-49235.12999999999), '653': np.float64(-50865.73999999999), '654': np.float64(17683.000000000007), '655': np.float64(-38157.37999999999), '656': np.float64(34273.87000000001), '657': np.float64(-17129.349999999995), '658': np.float64(-43704.83999999998), '659': np.float64(17683.000000000007), '660': np.float64(-33720.22), '661': np.float64(-22121.159999999985), '662': np.float64(6622.4200000000055), '663': np.float64(38711.030000000006), '664': np.float64(49771.61), '665': np.float64(-38174.54999999999), '666': np.float64(554.6500000000051), '667': np.float64(-34274.869999999995), '668': np.float64(-21029.029999999995), '669': np.float64(-39805.15999999999), '670': np.float64(1092.1300000000083), '671': np.float64(-15498.739999999994), '672': np.float64(-10523.099999999995), '673': np.float64(-28744.579999999998), '674': np.float64(-21583.67999999999), '675': np.float64(-43704.83999999998), '676': np.float64(-17146.519999999993), '677': np.float64(-5530.28999999999), '678': np.float64(-6085.939999999991), '679': np.float64(22120.160000000003), '680': np.float64(38711.030000000006), '681': np.float64(4974.64000000001), '682': np.float64(-27113.96999999999), '683': np.float64(-22676.809999999994), '684': np.float64(-16036.219999999998), '685': np.float64(-22676.809999999994), '686': np.float64(-22659.639999999996), '687': np.float64(-27113.96999999999), '688': np.float64(60832.19), '689': np.float64(12152.710000000008), '690': np.float64(55301.90000000001), '691': np.float64(-10523.099999999995), '692': np.float64(4974.64000000001), '693': np.float64(-17683.999999999996), '694': np.float64(-10523.099999999995), '695': np.float64(-60295.70999999999), '696': np.float64(33180.740000000005), '697': np.float64(-21566.50999999999), '698': np.float64(4974.64000000001), '699': np.float64(-4975.639999999996), '700': np.float64(-34274.869999999995), '701': np.float64(-10523.099999999988), '702': np.float64(-555.6499999999905), '703': np.float64(-17683.999999999996), '704': np.float64(49771.61000000001), '705': np.float64(-6068.769999999993), '706': np.float64(-538.4799999999923), '707': np.float64(16589.870000000006), '708': np.float64(33180.740000000005), '709': np.float64(-49235.12999999999), '710': np.float64(-39805.15999999999), '711': np.float64(-21583.67999999999), '712': np.float64(-34274.869999999995), '713': np.float64(22120.160000000007), '714': np.float64(-16590.86999999999), '715': np.float64(-27096.8), '716': np.float64(-33181.73999999999), '717': np.float64(-6085.939999999991), '718': np.float64(-17683.999999999996), '719': np.float64(-27651.449999999993), '720': np.float64(-11616.229999999992), '721': np.float64(-34274.869999999995), '722': np.float64(-17129.349999999995), '723': np.float64(-21566.51), '724': np.float64(-538.4799999999923), '725': np.float64(16035.220000000008), '726': np.float64(-4992.809999999994), '727': np.float64(11059.580000000005), '728': np.float64(-43687.67), '729': np.float64(-33720.22), '730': np.float64(-11599.059999999994), '731': np.float64(-49217.95999999999), '732': np.float64(16589.870000000006), '733': np.float64(-38712.029999999984), '734': np.float64(-17683.999999999996), '735': np.float64(-34274.869999999995), '736': np.float64(-44242.31999999998), '737': np.float64(-22659.639999999996), '738': np.float64(-23214.28999999999), '739': np.float64(-34274.869999999995), '740': np.float64(-33181.73999999999), '741': np.float64(-54748.249999999985), '742': np.float64(-16036.21999999999), '743': np.float64(-39250.509999999995), '744': np.float64(22120.160000000007), '745': np.float64(-9968.449999999993), '746': np.float64(-28744.57999999999), '747': np.float64(-4992.809999999994), '748': np.float64(66362.48000000001), '749': np.float64(-28744.57999999999), '750': np.float64(-21583.679999999997), '751': np.float64(1.0913936421275139e-11), '752': np.float64(-39250.509999999995), '753': np.float64(44241.32000000001), '754': np.float64(-11599.059999999994), '755': np.float64(49771.61), '756': np.float64(-4975.639999999996), '757': np.float64(-21566.50999999999), '758': np.float64(-43687.67), '759': np.float64(-21566.50999999999), '760': np.float64(-22121.159999999985), '761': np.float64(-538.4799999999923), '762': np.float64(17683.000000000007), '763': np.float64(12152.710000000008), '764': np.float64(-6085.939999999991), '765': np.float64(-33720.22), '766': np.float64(-32627.089999999993), '767': np.float64(-6068.769999999993), '768': np.float64(38711.030000000006), '769': np.float64(-33181.73999999999), '770': np.float64(38711.030000000006), '771': np.float64(-22121.159999999993), '772': np.float64(-27651.449999999986), '773': np.float64(-16590.86999999999), '774': np.float64(-538.4799999999923), '775': np.float64(-22659.639999999996), '776': np.float64(-4438.159999999993), '777': np.float64(-9968.449999999993), '778': np.float64(-17683.999999999996), '779': np.float64(66362.48000000001), '780': np.float64(6622.4200000000055), '781': np.float64(-538.4799999999923), '782': np.float64(-4992.809999999994), '783': np.float64(16589.87000000001), '784': np.float64(6067.770000000008), '785': np.float64(-43704.83999999998), '786': np.float64(-22659.639999999996), '787': np.float64(-28744.579999999998), '788': np.float64(554.6500000000051), '789': np.float64(-11060.57999999999), '790': np.float64(27650.450000000004), '791': np.float64(-17129.349999999995), '792': np.float64(-6085.939999999991), '793': np.float64(-4975.639999999996), '794': np.float64(-43687.67), '795': np.float64(5529.290000000008), '796': np.float64(-4438.159999999993), '797': np.float64(-11060.57999999999), '798': np.float64(44241.32000000001), '799': np.float64(1092.1300000000083), '800': np.float64(-28189.929999999997), '801': np.float64(-49235.12999999999), '802': np.float64(-49772.609999999986), '803': np.float64(-32627.09), '804': np.float64(44241.32000000001), '805': np.float64(-28744.57999999999), '806': np.float64(-16036.219999999998), '807': np.float64(-34274.869999999995), '808': np.float64(-16590.86999999999), '809': np.float64(-38712.029999999984), '810': np.float64(-21566.51), '811': np.float64(33180.740000000005), '812': np.float64(-33181.73999999999), '813': np.float64(-17146.519999999993), '814': np.float64(33180.740000000005), '815': np.float64(-28744.579999999998), '816': np.float64(-10523.099999999995), '817': np.float64(-27096.799999999992), '818': np.float64(33180.740000000005), '819': np.float64(-4438.159999999993), '820': np.float64(-27096.8), '821': np.float64(55301.90000000001), '822': np.float64(-16053.389999999996), '823': np.float64(33180.740000000005), '824': np.float64(-27113.96999999999), '825': np.float64(-38712.029999999984), '826': np.float64(-11060.57999999999), '827': np.float64(6622.420000000009), '828': np.float64(27650.450000000004), '829': np.float64(38711.030000000006), '830': np.float64(-44242.31999999998), '831': np.float64(-39805.15999999999), '832': np.float64(-27651.449999999986), '833': np.float64(22120.160000000007), '834': np.float64(49771.61000000001), '835': np.float64(-16590.86999999999), '836': np.float64(38711.030000000006), '837': np.float64(-22659.639999999996), '838': np.float64(-22121.159999999993), '839': np.float64(-28744.579999999998), '840': np.float64(-32644.25999999999), '841': np.float64(-38712.029999999984), '842': np.float64(-38712.029999999984), '843': np.float64(-33181.73999999999), '844': np.float64(44241.32000000001), '845': np.float64(-38712.029999999984), '846': np.float64(1092.1300000000083), '847': np.float64(-37619.899999999994), '848': np.float64(-22121.159999999993), '849': np.float64(-15498.739999999994), '850': np.float64(22120.160000000007), '851': np.float64(-38157.37999999999), '852': np.float64(-22676.809999999994), '853': np.float64(-38157.37999999999), '854': np.float64(-28744.579999999998), '855': np.float64(-11616.229999999992), '856': np.float64(-27651.449999999993), '857': np.float64(-44780.79999999999), '858': np.float64(-38174.54999999999), '859': np.float64(-9968.449999999993), '860': np.float64(-56396.029999999984), '861': np.float64(-27113.969999999998), '862': np.float64(4991.810000000009), '863': np.float64(-43687.669999999984), '864': np.float64(-555.6499999999905), '865': np.float64(6622.420000000009), '866': np.float64(5529.290000000008), '867': np.float64(-17146.519999999993), '868': np.float64(10504.930000000008), '869': np.float64(-38174.54999999999), '870': np.float64(-56396.029999999984), '871': np.float64(-54765.419999999984), '872': np.float64(-39805.15999999999), '873': np.float64(-10523.099999999995), '874': np.float64(-27113.96999999999), '875': np.float64(-50865.73999999999), '876': np.float64(-38712.029999999984), '877': np.float64(-43687.669999999984), '878': np.float64(-12153.709999999995), '879': np.float64(-11599.059999999994), '880': np.float64(55301.90000000001), '881': np.float64(-39805.15999999999), '882': np.float64(-28189.929999999997), '883': np.float64(27650.450000000004), '884': np.float64(-27113.96999999999), '885': np.float64(16589.87000000001), '886': np.float64(-11616.229999999992), '887': np.float64(-22659.639999999996), '888': np.float64(55301.90000000001), '889': np.float64(-28189.929999999997), '890': np.float64(-34274.869999999995), '891': np.float64(-22121.159999999993), '892': np.float64(-38157.37999999999), '893': np.float64(-21566.51), '894': np.float64(-11616.229999999992), '895': np.float64(-28189.929999999997), '896': np.float64(-27651.449999999993), '897': np.float64(-27096.8), '898': np.float64(-49217.95999999999), '899': np.float64(-21029.029999999995), '900': np.float64(-45335.44999999998), '901': np.float64(-17129.349999999995), '902': np.float64(-43704.83999999998), '903': np.float64(-17129.349999999995), '904': np.float64(-6068.769999999993), '905': np.float64(-27651.449999999986), '906': np.float64(-17146.519999999993), '907': np.float64(22120.160000000007), '908': np.float64(16589.87000000001), '909': np.float64(-49772.609999999986), '910': np.float64(-4438.159999999993), '911': np.float64(-21566.51), '912': np.float64(-27651.449999999993), '913': np.float64(1092.1300000000083), '914': np.float64(-44242.31999999998), '915': np.float64(-33181.73999999999), '916': np.float64(-27651.449999999993), '917': np.float64(-38174.54999999999), '918': np.float64(-16036.219999999998), '919': np.float64(-6068.769999999993), '920': np.float64(-28744.579999999998), '921': np.float64(33180.740000000005), '922': np.float64(-9968.449999999993), '923': np.float64(-43704.84), '924': np.float64(4974.64000000001), '925': np.float64(-39805.15999999999), '926': np.float64(-15498.739999999994), '927': np.float64(4974.64000000001), '928': np.float64(-22676.809999999994), '929': np.float64(-39805.15999999999), '930': np.float64(6622.4200000000055), '931': np.float64(-54748.249999999985), '932': np.float64(-32627.089999999993), '933': np.float64(-38712.029999999984), '934': np.float64(-28189.929999999997), '935': np.float64(-538.4799999999923), '936': np.float64(-538.4799999999923), '937': np.float64(-34274.869999999995), '938': np.float64(-16036.219999999998), '939': np.float64(-11599.059999999994), '940': np.float64(-50865.73999999999), '941': np.float64(-27113.969999999998), '942': np.float64(-555.6499999999905), '943': np.float64(-9968.449999999993), '944': np.float64(16589.87000000001), '945': np.float64(-12153.709999999988), '946': np.float64(-27113.969999999998), '947': np.float64(55301.90000000001), '948': np.float64(-49217.95999999999), '949': np.float64(-16590.86999999999), '950': np.float64(-43687.669999999984), '951': np.float64(-22676.809999999994), '952': np.float64(-43704.83999999998), '953': np.float64(-39805.15999999999), '954': np.float64(-11616.229999999992), '955': np.float64(49771.61), '956': np.float64(-11060.57999999999), '957': np.float64(-49235.12999999999), '958': np.float64(-38712.029999999984), '959': np.float64(6622.420000000009), '960': np.float64(-49772.609999999986), '961': np.float64(-32644.25999999999), '962': np.float64(-11616.229999999992), '963': np.float64(-32644.25999999999), '964': np.float64(49771.61000000001), '965': np.float64(27650.450000000004), '966': np.float64(-28207.099999999995), '967': np.float64(-6068.769999999993), '968': np.float64(-9968.449999999993), '969': np.float64(-39805.15999999999), '970': np.float64(-32644.26), '971': np.float64(-61926.31999999999), '972': np.float64(-6623.419999999995), '973': np.float64(22120.160000000003), '974': np.float64(-43687.67), '975': np.float64(-15498.739999999994), '976': np.float64(22120.160000000007), '977': np.float64(-33181.73999999999), '978': np.float64(-43687.669999999984), '979': np.float64(-50865.73999999999), '980': np.float64(-22659.639999999996), '981': np.float64(-38712.029999999984), '982': np.float64(-38157.37999999999), '983': np.float64(-39805.15999999999), '984': np.float64(-44242.31999999998), '985': np.float64(23213.290000000008), '986': np.float64(6622.420000000009), '987': np.float64(27650.450000000008), '988': np.float64(-28189.929999999997), '989': np.float64(-23214.289999999997), '990': np.float64(-22121.159999999985), '991': np.float64(10522.100000000006), '992': np.float64(-9968.449999999993), '993': np.float64(-43687.669999999984), '994': np.float64(-28744.57999999999), '995': np.float64(-16036.219999999998), '996': np.float64(-22121.159999999993), '997': np.float64(10522.100000000006), '998': np.float64(-26559.319999999996), '999': np.float64(-21583.679999999997), '1000': np.float64(-28744.57999999999), '1001': np.float64(-10523.099999999995), '1002': np.float64(-32644.25999999999), '1003': np.float64(-39805.15999999999), '1004': np.float64(-6068.769999999993), '1005': np.float64(-49217.95999999999), '1006': np.float64(-10505.929999999997), '1007': np.float64(-27651.449999999993), '1008': np.float64(-43704.83999999998), '1009': np.float64(38711.030000000006), '1010': np.float64(-538.4799999999923), '1011': np.float64(-33181.73999999999), '1012': np.float64(-50865.73999999999), '1013': np.float64(-21566.51), '1014': np.float64(16052.390000000007), '1015': np.float64(22120.160000000003), '1016': np.float64(22120.160000000007), '1017': np.float64(-33737.39), '1018': np.float64(-22676.809999999994), '1019': np.float64(-4438.159999999993), '1020': np.float64(17683.000000000007), '1021': np.float64(-54748.249999999985), '1022': np.float64(-17129.349999999995), '1023': np.float64(-11616.229999999992), '1024': np.float64(-10505.92999999999), '1025': np.float64(-538.4799999999923), '1026': np.float64(21582.680000000008), '1027': np.float64(55301.90000000001), '1028': np.float64(-43150.18999999999), '1029': np.float64(-39805.15999999999), '1030': np.float64(6622.4200000000055), '1031': np.float64(22120.160000000007), '1032': np.float64(-21029.029999999995), '1033': np.float64(-10523.099999999988), '1034': np.float64(27650.450000000008), '1035': np.float64(-10505.929999999997), '1036': np.float64(1092.1300000000083), '1037': np.float64(-33181.73999999999), '1038': np.float64(-45335.44999999998), '1039': np.float64(27650.450000000004), '1040': np.float64(-44797.96999999999), '1041': np.float64(-27651.449999999993), '1042': np.float64(-22659.639999999996), '1043': np.float64(-27096.799999999992), '1044': np.float64(-6623.419999999995), '1045': np.float64(-15498.739999999994), '1046': np.float64(-27096.8), '1047': np.float64(-27096.799999999992), '1048': np.float64(1092.1300000000083), '1049': np.float64(12152.710000000008), '1050': np.float64(-33720.22), '1051': np.float64(-11599.059999999994), '1052': np.float64(-27651.449999999993), '1053': np.float64(44241.32000000001), '1054': np.float64(-16053.389999999989), '1055': np.float64(-16053.389999999996), '1056': np.float64(-22676.809999999994), '1057': np.float64(-33720.22), '1058': np.float64(-37619.899999999994), '1059': np.float64(-45335.44999999998), '1060': np.float64(-39805.15999999999), '1061': np.float64(-38174.54999999999), '1062': np.float64(-5530.28999999999), '1063': np.float64(-22121.159999999993), '1064': np.float64(-38712.029999999984), '1065': np.float64(-538.4799999999923), '1066': np.float64(-39267.67999999999), '1067': np.float64(-11599.059999999994), '1068': np.float64(-27651.449999999993), '1069': np.float64(6622.4200000000055), '1070': np.float64(38711.030000000006), '1071': np.float64(22120.160000000007), '1072': np.float64(-22659.639999999996), '1073': np.float64(-34274.869999999995), '1074': np.float64(-22121.159999999993), '1075': np.float64(1092.1300000000083), '1076': np.float64(5529.290000000008), '1077': np.float64(-33181.73999999999), '1078': np.float64(-45335.44999999998), '1079': np.float64(-43687.669999999984), '1080': np.float64(-23214.289999999997), '1081': np.float64(-17129.349999999995), '1082': np.float64(-44242.31999999998), '1083': np.float64(-28189.929999999997), '1084': np.float64(-0.9999999999890861), '1085': np.float64(-33181.73999999999), '1086': np.float64(-27096.8), '1087': np.float64(-26559.319999999996), '1088': np.float64(-43687.67), '1089': np.float64(-32627.09), '1090': np.float64(-32089.609999999997), '1091': np.float64(-27651.449999999993), '1092': np.float64(-32644.25999999999), '1093': np.float64(-34274.869999999995), '1094': np.float64(-22659.639999999996), '1095': np.float64(-21583.67999999999), '1096': np.float64(-32627.089999999993), '1097': np.float64(-33181.73999999999), '1098': np.float64(-5531.28999999999), '1099': np.float64(-22659.639999999996), '1100': np.float64(-27113.969999999998), '1101': np.float64(-27113.96999999999), '1102': np.float64(-49235.12999999999), '1103': np.float64(-27096.8), '1104': np.float64(-44242.31999999999), '1105': np.float64(33180.740000000005), '1106': np.float64(-27113.969999999998), '1107': np.float64(-6085.939999999991), '1108': np.float64(-32089.609999999997), '1109': np.float64(-10505.929999999997), '1110': np.float64(-32644.25999999999), '1111': np.float64(-38712.029999999984), '1112': np.float64(-44242.31999999998), '1113': np.float64(-6068.769999999993), '1114': np.float64(-45335.44999999998), '1115': np.float64(-17683.999999999996), '1116': np.float64(-27113.96999999999), '1117': np.float64(44241.32000000001), '1118': np.float64(-33181.73999999999), '1119': np.float64(-23214.289999999997), '1120': np.float64(22120.160000000007), '1121': np.float64(4974.64000000001), '1122': np.float64(-28207.099999999995), '1123': np.float64(-38174.54999999999), '1124': np.float64(-6068.769999999993), '1125': np.float64(38711.030000000006), '1126': np.float64(-45335.44999999998), '1127': np.float64(-538.4799999999923), '1128': np.float64(33180.740000000005), '1129': np.float64(-43687.669999999984), '1130': np.float64(-9968.449999999993), '1131': np.float64(-38712.029999999984), '1132': np.float64(-39805.15999999999), '1133': np.float64(-21029.029999999995), '1134': np.float64(28743.58000000001), '1135': np.float64(-33181.73999999999), '1136': np.float64(-15498.739999999994), '1137': np.float64(-9968.449999999993), '1138': np.float64(-27651.449999999993), '1139': np.float64(-28207.099999999995), '1140': np.float64(-16053.389999999989), '1141': np.float64(22120.160000000007), '1142': np.float64(-16036.21999999999), '1143': np.float64(-17146.519999999993), '1144': np.float64(-32627.089999999993), '1145': np.float64(44241.32000000001), '1146': np.float64(38711.030000000006), '1147': np.float64(-28744.579999999998), '1148': np.float64(27650.450000000004), '1149': np.float64(-32644.25999999999), '1150': np.float64(-49217.95999999999), '1151': np.float64(-16590.86999999999), '1152': np.float64(-6068.769999999993), '1153': np.float64(-15498.739999999994), '1154': np.float64(-28744.57999999999), '1155': np.float64(-38157.37999999999), '1156': np.float64(-17146.519999999993), '1157': np.float64(-39805.15999999999), '1158': np.float64(-6085.939999999991), '1159': np.float64(-22659.639999999996), '1160': np.float64(4974.64000000001), '1161': np.float64(-5530.28999999999), '1162': np.float64(-21583.679999999997), '1163': np.float64(-43704.84), '1164': np.float64(-6085.939999999991), '1165': np.float64(-23214.289999999997), '1166': np.float64(-32644.25999999999), '1167': np.float64(-17129.349999999995), '1168': np.float64(-15498.740000000002), '1169': np.float64(-33181.73999999999), '1170': np.float64(-27113.969999999998), '1171': np.float64(55301.90000000001), '1172': np.float64(-27096.8), '1173': np.float64(-28207.099999999995), '1174': np.float64(-21566.50999999999), '1175': np.float64(-50865.73999999999), '1176': np.float64(4974.64000000001), '1177': np.float64(-22676.809999999994), '1178': np.float64(-43704.84), '1179': np.float64(-32627.089999999993), '1180': np.float64(-43704.84), '1181': np.float64(-17146.519999999993), '1182': np.float64(-38174.54999999999), '1183': np.float64(-49217.95999999999), '1184': np.float64(33180.740000000005), '1185': np.float64(-16053.389999999996), '1186': np.float64(-39805.15999999999), '1187': np.float64(-27651.449999999986), '1188': np.float64(-6085.939999999991), '1189': np.float64(-21566.51), '1190': np.float64(-33737.39), '1191': np.float64(-39805.15999999999), '1192': np.float64(-6068.769999999993), '1193': np.float64(-33737.39), '1194': np.float64(-4438.159999999993), '1195': np.float64(-4438.159999999993), '1196': np.float64(-16036.219999999998), '1197': np.float64(-17146.519999999993), '1198': np.float64(-17146.519999999993), '1199': np.float64(-11599.059999999994), '1200': np.float64(49771.61000000001), '1201': np.float64(-4438.159999999993), '1202': np.float64(27650.450000000004), '1203': np.float64(16589.870000000006), '1204': np.float64(4974.64000000001), '1205': np.float64(-21029.029999999995), '1206': np.float64(11059.580000000009), '1207': np.float64(-32627.09), '1208': np.float64(49771.61), '1209': np.float64(-555.6499999999905), '1210': np.float64(-16590.86999999999), '1211': np.float64(-21583.679999999997), '1212': np.float64(-15498.739999999994), '1213': np.float64(-26559.319999999996), '1214': np.float64(-555.6499999999905), '1215': np.float64(-22676.809999999994), '1216': np.float64(-50865.73999999999), '1217': np.float64(55301.90000000001), '1218': np.float64(-538.4799999999923), '1219': np.float64(-10523.099999999988), '1220': np.float64(16589.870000000006), '1221': np.float64(-22676.809999999994), '1222': np.float64(4991.810000000009), '1223': np.float64(-39805.15999999999), '1224': np.float64(6084.940000000006), '1225': np.float64(16052.390000000007), '1226': np.float64(-38712.029999999984), '1227': np.float64(-555.6499999999905), '1228': np.float64(-32627.089999999993), '1229': np.float64(-16053.389999999989), '1230': np.float64(-45335.44999999998), '1231': np.float64(-27113.969999999998), '1232': np.float64(-22121.159999999993), '1233': np.float64(-27651.449999999993), '1234': np.float64(-27113.969999999998), '1235': np.float64(-10523.099999999995), '1236': np.float64(-28744.57999999999), '1237': np.float64(-11060.57999999999), '1238': np.float64(-17129.349999999995), '1239': np.float64(1092.1300000000047), '1240': np.float64(-32627.09), '1241': np.float64(-16590.86999999999), '1242': np.float64(-50865.73999999999), '1243': np.float64(44241.32000000001), '1244': np.float64(-17146.519999999993), '1245': np.float64(-4975.639999999996), '1246': np.float64(-17129.349999999995), '1247': np.float64(-10505.929999999997), '1248': np.float64(-33181.73999999999), '1249': np.float64(-39267.67999999999), '1250': np.float64(38711.030000000006), '1251': np.float64(-555.6499999999905), '1252': np.float64(-45335.44999999998), '1253': np.float64(-11599.059999999994), '1254': np.float64(23213.290000000008), '1255': np.float64(-11616.229999999992), '1256': np.float64(5529.290000000008), '1257': np.float64(22120.160000000007), '1258': np.float64(-21583.679999999997), '1259': np.float64(-32089.609999999997), '1260': np.float64(-11616.229999999992), '1261': np.float64(-17146.519999999993), '1262': np.float64(-44797.96999999999), '1263': np.float64(-0.9999999999890861), '1264': np.float64(-21566.51), '1265': np.float64(-27096.8), '1266': np.float64(-6068.769999999993), '1267': np.float64(-49217.95999999999), '1268': np.float64(-21566.51), '1269': np.float64(-4992.809999999994), '1270': np.float64(49771.61000000001), '1271': np.float64(-538.4799999999923), '1272': np.float64(-6085.939999999991), '1273': np.float64(-555.6499999999905), '1274': np.float64(-32644.25999999999), '1275': np.float64(-22676.809999999994), '1276': np.float64(-32089.609999999997), '1277': np.float64(-16036.219999999998), '1278': np.float64(-6068.769999999993), '1279': np.float64(-6085.939999999991), '1280': np.float64(-21583.67999999999), '1281': np.float64(-538.4799999999923), '1282': np.float64(-555.6499999999905), '1283': np.float64(-16053.389999999989), '1284': np.float64(-22659.639999999996), '1285': np.float64(49771.61000000001), '1286': np.float64(-27096.799999999992), '1287': np.float64(-38174.54999999999), '1288': np.float64(-538.4799999999923), '1289': np.float64(-27651.449999999986), '1290': np.float64(4974.64000000001), '1291': np.float64(-28744.579999999998), '1292': np.float64(-16036.219999999998), '1293': np.float64(-28744.57999999999), '1294': np.float64(4974.64000000001), '1295': np.float64(-61926.31999999999), '1296': np.float64(-16053.389999999996), '1297': np.float64(6622.420000000009), '1298': np.float64(-11060.57999999999), '1299': np.float64(-9968.449999999993), '1300': np.float64(-26559.319999999996), '1301': np.float64(-27096.8), '1302': np.float64(-16053.389999999996), '1303': np.float64(-11616.229999999992), '1304': np.float64(4991.810000000009), '1305': np.float64(-17129.349999999995), '1306': np.float64(-15498.740000000002), '1307': np.float64(-6068.769999999993), '1308': np.float64(11059.580000000005), '1309': np.float64(-43687.67), '1310': np.float64(-4975.639999999996), '1311': np.float64(-26559.319999999996), '1312': np.float64(-27113.96999999999), '1313': np.float64(-27113.969999999998), '1314': np.float64(-38157.37999999999), '1315': np.float64(-26559.319999999996), '1316': np.float64(-11060.57999999999), '1317': np.float64(-6085.939999999991), '1318': np.float64(-10505.929999999997), '1319': np.float64(-32627.089999999993), '1320': np.float64(-17683.999999999996), '1321': np.float64(-21583.679999999997), '1322': np.float64(-9968.449999999993), '1323': np.float64(-38157.37999999999), '1324': np.float64(-45335.44999999998), '1325': np.float64(-11599.059999999994), '1326': np.float64(-49217.95999999999), '1327': np.float64(-4975.639999999996), '1328': np.float64(-38174.54999999999), '1329': np.float64(16589.870000000006), '1330': np.float64(12152.710000000008), '1331': np.float64(16052.390000000007), '1332': np.float64(-4438.159999999993), '1333': np.float64(-27651.449999999993), '1334': np.float64(12152.710000000008), '1335': np.float64(-6068.769999999993), '1336': np.float64(-32627.09), '1337': np.float64(4991.810000000009), '1338': np.float64(-6085.939999999991), '1339': np.float64(5529.290000000008), '1340': np.float64(49771.61), '1341': np.float64(-555.6499999999905), '1342': np.float64(-17146.519999999993), '1343': np.float64(-16053.389999999989), '1344': np.float64(-34274.869999999995), '1345': np.float64(-38174.54999999999), '1346': np.float64(-21583.67999999999), '1347': np.float64(-27651.449999999993), '1348': np.float64(17683.000000000007), '1349': np.float64(-22676.809999999994), '1350': np.float64(-38174.54999999999), '1351': np.float64(-45335.44999999998), '1352': np.float64(-34274.869999999995), '1353': np.float64(-39805.15999999999), '1354': np.float64(-28744.57999999999), '1355': np.float64(-6085.939999999991), '1356': np.float64(38711.030000000006), '1357': np.float64(-28744.579999999998), '1358': np.float64(-555.6499999999905), '1359': np.float64(-28207.099999999995), '1360': np.float64(-38174.54999999999), '1361': np.float64(-28207.099999999995), '1362': np.float64(1092.1300000000047), '1363': np.float64(-22659.639999999996), '1364': np.float64(-538.4799999999923), '1365': np.float64(-49217.95999999999), '1366': np.float64(1092.1300000000047), '1367': np.float64(4991.810000000005), '1368': np.float64(-11599.059999999994), '1369': np.float64(-27096.8), '1370': np.float64(11059.580000000005), '1371': np.float64(-27651.449999999986), '1372': np.float64(-16053.389999999989), '1373': np.float64(-6085.939999999991), '1374': np.float64(27650.450000000004), '1375': np.float64(11059.580000000005), '1376': np.float64(4974.64000000001), '1377': np.float64(-11060.57999999999), '1378': np.float64(-43704.84), '1379': np.float64(33180.740000000005), '1380': np.float64(-11599.059999999994), '1381': np.float64(-34274.869999999995), '1382': np.float64(-17129.349999999995), '1383': np.float64(-555.6499999999905), '1384': np.float64(4974.64000000001), '1385': np.float64(-17146.519999999993), '1386': np.float64(-39805.15999999999), '1387': np.float64(10504.930000000011), '1388': np.float64(-32644.26), '1389': np.float64(-22121.159999999985), '1390': np.float64(27650.450000000004), '1391': np.float64(-27113.969999999998), '1392': np.float64(-27113.969999999998), '1393': np.float64(-32644.25999999999), '1394': np.float64(60832.19), '1395': np.float64(55301.90000000001), '1396': np.float64(6622.4200000000055), '1397': np.float64(4991.810000000009), '1398': np.float64(-10505.929999999997), '1399': np.float64(-11599.059999999994), '1400': np.float64(-4438.159999999993), '1401': np.float64(-34274.869999999995), '1402': np.float64(-27096.8), '1403': np.float64(-23214.289999999997), '1404': np.float64(6622.4200000000055), '1405': np.float64(-9968.449999999993), '1406': np.float64(-22676.809999999994), '1407': np.float64(-21583.679999999997), '1408': np.float64(10522.100000000006), '1409': np.float64(-21566.50999999999), '1410': np.float64(-4438.159999999993), '1411': np.float64(-6068.769999999993), '1412': np.float64(537.4800000000068), '1413': np.float64(-21566.51), '1414': np.float64(-15498.740000000002), '1415': np.float64(10504.930000000008), '1416': np.float64(-22121.159999999993), '1417': np.float64(-43704.84), '1418': np.float64(-4992.809999999994), '1419': np.float64(-23214.289999999997), '1420': np.float64(-23214.289999999997), '1421': np.float64(-34274.869999999995), '1422': np.float64(-17683.999999999996), '1423': np.float64(44241.32000000001), '1424': np.float64(-39805.15999999999), '1425': np.float64(-9968.449999999993), '1426': np.float64(-11599.059999999994), '1427': np.float64(-28189.929999999997), '1428': np.float64(23213.290000000008), '1429': np.float64(-4975.639999999996), '1430': np.float64(-43687.67), '1431': np.float64(-9968.449999999993), '1432': np.float64(11059.580000000005), '1433': np.float64(11059.580000000005), '1434': np.float64(-32644.25999999999), '1435': np.float64(-11616.229999999992), '1436': np.float64(-555.6499999999905), '1437': np.float64(-6085.939999999991), '1438': np.float64(10504.930000000008), '1439': np.float64(-33181.73999999999), '1440': np.float64(-34274.869999999995), '1441': np.float64(-45335.44999999998), '1442': np.float64(-39805.15999999999), '1443': np.float64(-28207.099999999995), '1444': np.float64(-38174.54999999999), '1445': np.float64(12152.710000000008), '1446': np.float64(-38174.54999999999), '1447': np.float64(33180.740000000005), '1448': np.float64(-5530.28999999999), '1449': np.float64(-4438.159999999993), '1450': np.float64(-6068.769999999993), '1451': np.float64(-27096.8), '1452': np.float64(-21566.50999999999), '1453': np.float64(-33181.73999999999), '1454': np.float64(-21566.50999999999), '1455': np.float64(33180.740000000005), '1456': np.float64(-22121.159999999993), '1457': np.float64(44241.32000000001), '1458': np.float64(-4438.159999999993), '1459': np.float64(16589.870000000006), '1460': np.float64(-6068.769999999993), '1461': np.float64(-17129.349999999995), '1462': np.float64(-11616.229999999992), '1463': np.float64(22120.160000000003), '1464': np.float64(-538.4799999999923), '1465': np.float64(-34274.869999999995), '1466': np.float64(-16036.219999999998), '1467': np.float64(-28744.57999999999), '1468': np.float64(-32627.09), '1469': np.float64(-6085.939999999991), '1470': np.float64(-555.6499999999905), '1471': np.float64(-22121.159999999985), '1472': np.float64(1092.1300000000083), '1473': np.float64(-555.6499999999905), '1474': np.float64(11059.580000000005), '1475': np.float64(-34274.869999999995), '1476': np.float64(-22676.809999999994), '1477': np.float64(-12153.709999999988), '1478': np.float64(-21029.029999999995), '1479': np.float64(-32644.25999999999), '1480': np.float64(1092.1300000000047), '1481': np.float64(-32644.25999999999), '1482': np.float64(-22121.159999999985), '1483': np.float64(55301.90000000001), '1484': np.float64(-11599.059999999994), '1485': np.float64(17683.000000000007), '1486': np.float64(-17129.349999999995), '1487': np.float64(-4438.159999999993), '1488': np.float64(1092.1300000000047), '1489': np.float64(-27651.449999999993), '1490': np.float64(-32627.09), '1491': np.float64(38711.030000000006), '1492': np.float64(23213.290000000008), '1493': np.float64(1092.1300000000047), '1494': np.float64(-32627.09), '1495': np.float64(12152.710000000008), '1496': np.float64(-22676.809999999994), '1497': np.float64(4991.810000000005), '1498': np.float64(-11616.229999999992), '1499': np.float64(-16590.86999999999), '1500': np.float64(-10505.929999999997), '1501': np.float64(1092.1300000000083), '1502': np.float64(-34274.869999999995), '1503': np.float64(-11599.059999999994), '1504': np.float64(-10523.099999999995), '1505': np.float64(-27113.969999999998), '1506': np.float64(-17146.519999999993), '1507': np.float64(-27113.969999999998), '1508': np.float64(11059.580000000005), '1509': np.float64(60832.19), '1510': np.float64(4991.810000000009), '1511': np.float64(-16053.389999999989), '1512': np.float64(23213.290000000008), '1513': np.float64(-43704.83999999998), '1514': np.float64(-10505.929999999997), '1515': np.float64(-11599.059999999994), '1516': np.float64(-27096.8), '1517': np.float64(-56396.029999999984), '1518': np.float64(-555.6499999999905), '1519': np.float64(-21583.679999999997), '1520': np.float64(-32644.25999999999), '1521': np.float64(6622.4200000000055), '1522': np.float64(27650.450000000004), '1523': np.float64(-9968.449999999993), '1524': np.float64(-45335.44999999998), '1525': np.float64(-22121.159999999993), '1526': np.float64(-6085.939999999991), '1527': np.float64(-23214.289999999997), '1528': np.float64(-16590.86999999999), '1529': np.float64(-16590.86999999999), '1530': np.float64(33180.740000000005), '1531': np.float64(-538.4799999999923), '1532': np.float64(-17129.349999999995), '1533': np.float64(-27113.969999999998), '1534': np.float64(-32627.09), '1535': np.float64(-38174.54999999999), '1536': np.float64(38711.030000000006), '1537': np.float64(-33181.73999999999), '1538': np.float64(-33181.73999999999), '1539': np.float64(1092.1300000000047), '1540': np.float64(-22121.159999999993), '1541': np.float64(4991.810000000005), '1542': np.float64(-11599.059999999994), '1543': np.float64(4991.810000000005), '1544': np.float64(-34274.869999999995), '1545': np.float64(-38174.54999999999), '1546': np.float64(-27651.449999999993), '1547': np.float64(-27096.799999999992), '1548': np.float64(-6068.769999999993), '1549': np.float64(21565.51000000001), '1550': np.float64(-22121.159999999993), '1551': np.float64(-27096.799999999992), '1552': np.float64(-32627.089999999993), '1553': np.float64(-22121.159999999993), '1554': np.float64(-16590.86999999999), '1555': np.float64(-11599.059999999994), '1556': np.float64(60832.19), '1557': np.float64(-10505.92999999999), '1558': np.float64(-28744.579999999998), '1559': np.float64(6622.4200000000055), '1560': np.float64(-10523.099999999995), '1561': np.float64(-10505.929999999997), '1562': np.float64(-10523.099999999995), '1563': np.float64(-11599.059999999994), '1564': np.float64(-32644.25999999999), '1565': np.float64(27650.450000000004), '1566': np.float64(-9968.449999999993), '1567': np.float64(-22121.159999999993), '1568': np.float64(-21566.51), '1569': np.float64(-6068.769999999993), '1570': np.float64(-4438.159999999993), '1571': np.float64(-22121.159999999993), '1572': np.float64(-16053.389999999989), '1573': np.float64(-23214.289999999997), '1574': np.float64(-16590.86999999999), '1575': np.float64(-27651.449999999993), '1576': np.float64(-26559.319999999996), '1577': np.float64(-11616.229999999992), '1578': np.float64(-23214.289999999997), '1579': np.float64(-27113.969999999998), '1580': np.float64(23213.290000000008), '1581': np.float64(-21583.679999999997), '1582': np.float64(-16590.86999999999), '1583': np.float64(-11060.57999999999), '1584': np.float64(-16036.219999999998), '1585': np.float64(66362.48000000001), '1586': np.float64(-45335.44999999998), '1587': np.float64(12152.710000000008), '1588': np.float64(27650.450000000004), '1589': np.float64(-21566.51), '1590': np.float64(33180.740000000005), '1591': np.float64(-4438.159999999993), '1592': np.float64(23213.290000000008), '1593': np.float64(6622.4200000000055), '1594': np.float64(537.4800000000068), '1595': np.float64(-28744.57999999999), '1596': np.float64(-23214.289999999997), '1597': np.float64(-4438.159999999993), '1598': np.float64(-38712.029999999984), '1599': np.float64(-17683.999999999996), '1600': np.float64(-33737.39), '1601': np.float64(-6085.939999999991), '1602': np.float64(-21583.679999999997), '1603': np.float64(-16036.219999999998), '1604': np.float64(-12153.709999999995), '1605': np.float64(-56396.029999999984), '1606': np.float64(16589.870000000006), '1607': np.float64(-16053.389999999996), '1608': np.float64(71892.77), '1609': np.float64(-33181.73999999999), '1610': np.float64(34273.87000000001), '1611': np.float64(-49235.12999999999), '1612': np.float64(55301.90000000001), '1613': np.float64(17683.000000000007), '1614': np.float64(21582.680000000008), '1615': np.float64(16052.390000000009), '1616': np.float64(-10505.92999999999), '1617': np.float64(1092.1300000000083), '1618': np.float64(-27651.449999999993), '1619': np.float64(6084.940000000006), '1620': np.float64(16035.22000000001), '1621': np.float64(-0.9999999999890861), '1622': np.float64(-26559.319999999996), '1623': np.float64(-16053.389999999996), '1624': np.float64(4974.64000000001), '1625': np.float64(537.4800000000105), '1626': np.float64(-17683.99999999999), '1627': np.float64(22120.160000000007), '1628': np.float64(-5530.28999999999), '1629': np.float64(-16053.389999999996), '1630': np.float64(-10523.099999999995), '1631': np.float64(-17146.519999999993), '1632': np.float64(-11060.57999999999), '1633': np.float64(-21566.51), '1634': np.float64(6622.420000000009), '1635': np.float64(-17683.99999999999), '1636': np.float64(6067.770000000008), '1637': np.float64(-11616.229999999992), '1638': np.float64(-23214.289999999997), '1639': np.float64(21565.51000000001), '1640': np.float64(-33181.73999999999), '1641': np.float64(537.4800000000105), '1642': np.float64(10504.930000000011), '1643': np.float64(38711.030000000006), '1644': np.float64(16035.22000000001), '1645': np.float64(33180.740000000005), '1646': np.float64(4991.810000000009), '1647': np.float64(4991.810000000009), '1648': np.float64(1092.1300000000083), '1649': np.float64(-23214.289999999997), '1650': np.float64(38711.030000000006), '1651': np.float64(-16036.219999999998), '1652': np.float64(16052.390000000009), '1653': np.float64(55301.90000000001), '1654': np.float64(71892.77), '1655': np.float64(-11616.229999999992), '1656': np.float64(-21583.67999999999), '1657': np.float64(-11060.57999999999), '1658': np.float64(-15498.739999999994), '1659': np.float64(-6085.939999999991), '1660': np.float64(-22121.159999999985), '1661': np.float64(-538.4799999999923), '1662': np.float64(12152.710000000008), '1663': np.float64(55301.90000000001), '1664': np.float64(10522.10000000001), '1665': np.float64(-39805.15999999999), '1666': np.float64(12152.710000000008), '1667': np.float64(-15498.739999999994), '1668': np.float64(-39267.67999999999), '1669': np.float64(49771.61), '1670': np.float64(-11060.57999999999), '1671': np.float64(-38157.37999999999), '1672': np.float64(-6085.939999999991), '1673': np.float64(-27113.969999999998), '1674': np.float64(-11616.229999999992), '1675': np.float64(-27096.799999999992), '1676': np.float64(-16590.86999999999), '1677': np.float64(-4992.809999999994), '1678': np.float64(10504.930000000008), '1679': np.float64(27650.450000000004), '1680': np.float64(-21566.51), '1681': np.float64(-10523.099999999995), '1682': np.float64(-17683.999999999996), '1683': np.float64(-4975.639999999996), '1684': np.float64(-9968.449999999993), '1685': np.float64(27650.450000000004), '1686': np.float64(6622.4200000000055), '1687': np.float64(44241.32000000001), '1688': np.float64(-33720.22), '1689': np.float64(-28189.929999999997), '1690': np.float64(6622.4200000000055), '1691': np.float64(60832.19), '1692': np.float64(-44242.31999999998), '1693': np.float64(-27113.969999999998), '1694': np.float64(-17146.519999999993), '1695': np.float64(-22121.159999999993), '1696': np.float64(-27651.449999999993), '1697': np.float64(4974.64000000001), '1698': np.float64(-27096.8), '1699': np.float64(38711.030000000006), '1700': np.float64(-10505.929999999997), '1701': np.float64(-11616.229999999992), '1702': np.float64(22120.160000000003), '1703': np.float64(-4975.639999999996), '1704': np.float64(-32627.09), '1705': np.float64(-16036.219999999998), '1706': np.float64(-22121.159999999993), '1707': np.float64(38711.030000000006), '1708': np.float64(-21029.029999999995), '1709': np.float64(17683.000000000007), '1710': np.float64(55301.90000000001), '1711': np.float64(-50865.73999999999), '1712': np.float64(-10505.929999999997), '1713': np.float64(-17683.999999999996), '1714': np.float64(-28189.929999999997), '1715': np.float64(-23214.289999999997), '1716': np.float64(-27113.969999999998), '1717': np.float64(-39267.67999999999), '1718': np.float64(-11616.229999999992), '1719': np.float64(-23214.289999999997), '1720': np.float64(-4992.809999999994), '1721': np.float64(-9968.449999999993), '1722': np.float64(6622.4200000000055), '1723': np.float64(-15498.739999999994), '1724': np.float64(44241.32000000001), '1725': np.float64(10504.930000000008), '1726': np.float64(-11599.059999999994), '1727': np.float64(6622.420000000009), '1728': np.float64(38711.030000000006), '1729': np.float64(4991.810000000009), '1730': np.float64(-45335.44999999998), '1731': np.float64(44241.32000000001), '1732': np.float64(-16590.86999999999), '1733': np.float64(-21583.679999999997), '1734': np.float64(-16036.219999999998), '1735': np.float64(-22121.159999999993), '1736': np.float64(-22121.159999999985), '1737': np.float64(-33181.73999999999), '1738': np.float64(-22121.159999999985), '1739': np.float64(-17146.519999999993), '1740': np.float64(-555.6499999999905), '1741': np.float64(-16053.389999999996), '1742': np.float64(-54765.419999999984), '1743': np.float64(-555.6499999999905), '1744': np.float64(-27096.8), '1745': np.float64(-10505.929999999997), '1746': np.float64(-16590.86999999999), '1747': np.float64(4991.810000000005), '1748': np.float64(38711.030000000006), '1749': np.float64(4974.64000000001), '1750': np.float64(38711.030000000006), '1751': np.float64(-32627.09), '1752': np.float64(1092.1300000000047), '1753': np.float64(-39805.15999999999), '1754': np.float64(17683.000000000007), '1755': np.float64(55301.90000000001), '1756': np.float64(-6085.939999999991), '1757': np.float64(-17683.999999999996), '1758': np.float64(-28744.579999999998), '1759': np.float64(-27651.449999999993), '1760': np.float64(-34274.869999999995), '1761': np.float64(-10523.099999999988), '1762': np.float64(-6068.769999999993), '1763': np.float64(-32644.25999999999), '1764': np.float64(-27113.969999999998), '1765': np.float64(-38174.54999999999), '1766': np.float64(-22676.809999999994), '1767': np.float64(-33181.73999999999), '1768': np.float64(-22659.639999999996), '1769': np.float64(-28189.929999999997), '1770': np.float64(-39805.15999999999), '1771': np.float64(-16053.389999999989), '1772': np.float64(-32627.09), '1773': np.float64(-17129.349999999995), '1774': np.float64(-27113.969999999998), '1775': np.float64(-16036.219999999998), '1776': np.float64(-538.4799999999923), '1777': np.float64(-34274.869999999995), '1778': np.float64(-6068.769999999993), '1779': np.float64(-55302.89999999998), '1780': np.float64(16589.870000000006), '1781': np.float64(-32644.25999999999), '1782': np.float64(33180.740000000005), '1783': np.float64(-22659.639999999996), '1784': np.float64(-21566.50999999999), '1785': np.float64(-38157.37999999999), '1786': np.float64(-6068.769999999993), '1787': np.float64(-22659.639999999996), '1788': np.float64(-4438.159999999993), '1789': np.float64(-6068.769999999993), '1790': np.float64(49771.61000000001), '1791': np.float64(-9968.449999999993), '1792': np.float64(-11616.229999999992), '1793': np.float64(-34274.869999999995), '1794': np.float64(12152.710000000008), '1795': np.float64(-38174.54999999999), '1796': np.float64(-10505.929999999997), '1797': np.float64(-22676.809999999994), '1798': np.float64(-43704.84), '1799': np.float64(-16053.389999999996), '1800': np.float64(-39805.15999999999)}\n"
     ]
    }
   ],
   "source": [
    "# Convert\n",
    "qubo_values, C = maxcut_to_qubo(maxcut_values, edge_weights, q_diag, q_off_diag)\n",
    "print(qubo_values)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Solution ID: 0, QUBO x: [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0], QUBO value: -9968.449999999993, MaxCut value: 75237.8\n",
      "Solution ID: 1, QUBO x: [1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0], QUBO value: -60278.53999999999, MaxCut value: 175857.98\n",
      "Solution ID: 2, QUBO x: [1, 1, 1, 1, 1, 1, 1, 0, 1, 1, 1], QUBO value: 11059.580000000009, MaxCut value: 33181.74\n",
      "Solution ID: 3, QUBO x: [1, 1, 1, 1, 1, 1, 1, 0, 1, 0, 1], QUBO value: -5531.28999999999, MaxCut value: 66363.48\n",
      "Solution ID: 4, QUBO x: [1, 1, 1, 1, 1, 1, 1, 0, 1, 0, 0], QUBO value: -43150.18999999999, MaxCut value: 141601.28\n",
      "Solution ID: 5, QUBO x: [1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 1], QUBO value: -39250.509999999995, MaxCut value: 133801.92\n",
      "Solution ID: 6, QUBO x: [1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0], QUBO value: -54748.249999999985, MaxCut value: 164797.4\n",
      "Solution ID: 7, QUBO x: [1, 1, 1, 1, 1, 1, 0, 1, 1, 1, 1], QUBO value: -28207.099999999995, MaxCut value: 111715.1\n",
      "Solution ID: 8, QUBO x: [1, 1, 1, 1, 1, 1, 0, 1, 1, 0, 1], QUBO value: -22676.809999999994, MaxCut value: 100654.52\n",
      "Solution ID: 9, QUBO x: [1, 1, 1, 1, 1, 1, 0, 1, 1, 0, 0], QUBO value: -38174.54999999999, MaxCut value: 131650.0\n",
      "Solution ID: 10, QUBO x: [1, 1, 1, 1, 1, 1, 0, 1, 0, 0, 0], QUBO value: -49772.609999999986, MaxCut value: 154846.12\n",
      "Solution ID: 11, QUBO x: [1, 1, 1, 1, 1, 1, 0, 0, 1, 0, 1], QUBO value: -39267.67999999999, MaxCut value: 133836.26\n",
      "Solution ID: 12, QUBO x: [1, 1, 1, 1, 1, 1, 0, 0, 0, 1, 1], QUBO value: -56396.029999999984, MaxCut value: 168092.96\n",
      "Solution ID: 13, QUBO x: [1, 1, 1, 1, 1, 1, 0, 0, 0, 1, 0], QUBO value: -49772.609999999986, MaxCut value: 154846.12\n",
      "Solution ID: 14, QUBO x: [1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0], QUBO value: -44242.31999999999, MaxCut value: 143785.54\n",
      "Solution ID: 15, QUBO x: [1, 1, 1, 1, 1, 0, 1, 1, 1, 1, 1], QUBO value: 33180.740000000005, MaxCut value: -11060.58\n",
      "Solution ID: 16, QUBO x: [1, 1, 1, 1, 1, 0, 1, 1, 1, 0, 1], QUBO value: 16589.87000000001, MaxCut value: 22121.16\n",
      "Solution ID: 17, QUBO x: [1, 1, 1, 1, 1, 0, 1, 1, 0, 1, 1], QUBO value: -22659.639999999996, MaxCut value: 100620.18000000001\n",
      "Solution ID: 18, QUBO x: [1, 1, 1, 1, 1, 0, 1, 1, 0, 0, 1], QUBO value: -39250.509999999995, MaxCut value: 133801.92\n",
      "Solution ID: 19, QUBO x: [1, 1, 1, 1, 1, 0, 1, 0, 1, 1, 1], QUBO value: 16589.87000000001, MaxCut value: 22121.16\n",
      "Solution ID: 20, QUBO x: [1, 1, 1, 1, 1, 0, 1, 0, 1, 0, 0], QUBO value: -37619.899999999994, MaxCut value: 130540.70000000001\n",
      "Solution ID: 21, QUBO x: [1, 1, 1, 1, 1, 0, 1, 0, 0, 1, 0], QUBO value: -32627.089999999993, MaxCut value: 120555.08\n",
      "Solution ID: 22, QUBO x: [1, 1, 1, 1, 1, 0, 0, 1, 1, 1, 1], QUBO value: -22676.809999999994, MaxCut value: 100654.52\n",
      "Solution ID: 23, QUBO x: [1, 1, 1, 1, 1, 0, 0, 1, 0, 1, 1], QUBO value: -56396.029999999984, MaxCut value: 168092.96\n",
      "Solution ID: 24, QUBO x: [1, 1, 1, 1, 1, 0, 0, 1, 0, 1, 0], QUBO value: -49772.609999999986, MaxCut value: 154846.12\n",
      "Solution ID: 25, QUBO x: [1, 1, 1, 1, 1, 0, 0, 1, 0, 0, 1], QUBO value: -50865.73999999999, MaxCut value: 157032.38\n",
      "Solution ID: 26, QUBO x: [1, 1, 1, 1, 1, 0, 0, 1, 0, 0, 0], QUBO value: -44242.31999999998, MaxCut value: 143785.53999999998\n",
      "Solution ID: 27, QUBO x: [1, 1, 1, 1, 1, 0, 0, 0, 1, 1, 1], QUBO value: -39267.67999999999, MaxCut value: 133836.26\n",
      "Solution ID: 28, QUBO x: [1, 1, 1, 1, 1, 0, 0, 0, 1, 1, 0], QUBO value: -54765.419999999984, MaxCut value: 164831.74\n",
      "Solution ID: 29, QUBO x: [1, 1, 1, 1, 1, 0, 0, 0, 1, 0, 0], QUBO value: -49235.12999999999, MaxCut value: 153771.16\n",
      "Solution ID: 30, QUBO x: [1, 1, 1, 1, 1, 0, 0, 0, 0, 1, 0], QUBO value: -44242.31999999998, MaxCut value: 143785.53999999998\n",
      "Solution ID: 31, QUBO x: [1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 1], QUBO value: -45335.44999999998, MaxCut value: 145971.8\n",
      "Solution ID: 32, QUBO x: [1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0], QUBO value: -38712.029999999984, MaxCut value: 132724.96\n",
      "Solution ID: 33, QUBO x: [1, 1, 1, 1, 0, 1, 1, 1, 1, 0, 1], QUBO value: 22120.160000000007, MaxCut value: 11060.58\n",
      "Solution ID: 34, QUBO x: [1, 1, 1, 1, 0, 1, 1, 1, 0, 1, 0], QUBO value: -32627.089999999993, MaxCut value: 120555.08\n",
      "Solution ID: 35, QUBO x: [1, 1, 1, 1, 0, 1, 1, 1, 0, 0, 1], QUBO value: -33720.22, MaxCut value: 122741.34000000001\n",
      "Solution ID: 36, QUBO x: [1, 1, 1, 1, 0, 1, 1, 0, 1, 0, 0], QUBO value: -32089.609999999997, MaxCut value: 119480.12000000001\n",
      "Solution ID: 37, QUBO x: [1, 1, 1, 1, 0, 1, 1, 0, 0, 0, 0], QUBO value: -43687.669999999984, MaxCut value: 142676.24\n",
      "Solution ID: 38, QUBO x: [1, 1, 1, 1, 0, 1, 0, 1, 1, 1, 1], QUBO value: -17146.519999999993, MaxCut value: 89593.94\n",
      "Solution ID: 39, QUBO x: [1, 1, 1, 1, 0, 1, 0, 1, 1, 1, 0], QUBO value: -32644.25999999999, MaxCut value: 120589.42\n",
      "Solution ID: 40, QUBO x: [1, 1, 1, 1, 0, 1, 0, 1, 1, 0, 1], QUBO value: -11616.229999999992, MaxCut value: 78533.36\n",
      "Solution ID: 41, QUBO x: [1, 1, 1, 1, 0, 1, 0, 1, 0, 1, 1], QUBO value: -50865.73999999999, MaxCut value: 157032.38\n",
      "Solution ID: 42, QUBO x: [1, 1, 1, 1, 0, 1, 0, 1, 0, 1, 0], QUBO value: -44242.31999999998, MaxCut value: 143785.53999999998\n",
      "Solution ID: 43, QUBO x: [1, 1, 1, 1, 0, 1, 0, 1, 0, 0, 0], QUBO value: -38712.029999999984, MaxCut value: 132724.96\n",
      "Solution ID: 44, QUBO x: [1, 1, 1, 1, 0, 1, 0, 0, 1, 0, 1], QUBO value: -28207.099999999995, MaxCut value: 111715.1\n",
      "Solution ID: 45, QUBO x: [1, 1, 1, 1, 0, 1, 0, 0, 0, 1, 0], QUBO value: -38712.029999999984, MaxCut value: 132724.96\n",
      "Solution ID: 46, QUBO x: [1, 1, 1, 1, 0, 1, 0, 0, 0, 0, 1], QUBO value: -39805.15999999999, MaxCut value: 134911.22\n",
      "Solution ID: 47, QUBO x: [1, 1, 1, 1, 0, 1, 0, 0, 0, 0, 0], QUBO value: -33181.73999999999, MaxCut value: 121664.37999999999\n",
      "Solution ID: 48, QUBO x: [1, 1, 1, 1, 0, 0, 1, 1, 1, 1, 1], QUBO value: 44241.32000000001, MaxCut value: -33181.74\n",
      "Solution ID: 49, QUBO x: [1, 1, 1, 1, 0, 0, 1, 1, 1, 0, 1], QUBO value: 27650.450000000004, MaxCut value: 3.637978807091713e-12\n",
      "Solution ID: 50, QUBO x: [1, 1, 1, 1, 0, 0, 1, 1, 1, 0, 0], QUBO value: -9968.449999999993, MaxCut value: 75237.8\n",
      "Solution ID: 51, QUBO x: [1, 1, 1, 1, 0, 0, 1, 1, 0, 1, 0], QUBO value: -27096.8, MaxCut value: 109494.50000000001\n",
      "Solution ID: 52, QUBO x: [1, 1, 1, 1, 0, 0, 1, 0, 1, 0, 0], QUBO value: -26559.319999999996, MaxCut value: 108419.54000000001\n",
      "Solution ID: 53, QUBO x: [1, 1, 1, 1, 0, 0, 1, 0, 0, 1, 1], QUBO value: -6068.769999999993, MaxCut value: 67438.44\n",
      "Solution ID: 54, QUBO x: [1, 1, 1, 1, 0, 0, 1, 0, 0, 0, 0], QUBO value: -38157.37999999999, MaxCut value: 131615.66\n",
      "Solution ID: 55, QUBO x: [1, 1, 1, 1, 0, 0, 0, 1, 1, 0, 0], QUBO value: -21583.679999999997, MaxCut value: 98468.26000000001\n",
      "Solution ID: 56, QUBO x: [1, 1, 1, 1, 0, 0, 0, 1, 0, 1, 1], QUBO value: -45335.44999999998, MaxCut value: 145971.8\n",
      "Solution ID: 57, QUBO x: [1, 1, 1, 1, 0, 0, 0, 0, 1, 1, 1], QUBO value: -28207.099999999995, MaxCut value: 111715.1\n",
      "Solution ID: 58, QUBO x: [1, 1, 1, 1, 0, 0, 0, 0, 1, 1, 0], QUBO value: -43704.84, MaxCut value: 142710.58000000002\n",
      "Solution ID: 59, QUBO x: [1, 1, 1, 1, 0, 0, 0, 0, 0, 1, 1], QUBO value: -39805.15999999999, MaxCut value: 134911.22\n",
      "Solution ID: 60, QUBO x: [1, 1, 1, 1, 0, 0, 0, 0, 0, 1, 0], QUBO value: -33181.73999999999, MaxCut value: 121664.37999999999\n",
      "Solution ID: 61, QUBO x: [1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0], QUBO value: -27651.449999999986, MaxCut value: 110603.79999999999\n",
      "Solution ID: 62, QUBO x: [1, 1, 1, 0, 1, 1, 1, 1, 1, 0, 0], QUBO value: -15498.739999999994, MaxCut value: 86298.38\n",
      "Solution ID: 63, QUBO x: [1, 1, 1, 1, 1, 0, 0, 1, 1, 1, 0], QUBO value: -38174.54999999999, MaxCut value: 131650.0\n",
      "Solution ID: 64, QUBO x: [1, 1, 1, 0, 1, 1, 1, 1, 0, 0, 1], QUBO value: -33720.22, MaxCut value: 122741.34000000001\n",
      "Solution ID: 65, QUBO x: [1, 1, 1, 1, 1, 1, 1, 1, 0, 1, 1], QUBO value: -28189.929999999997, MaxCut value: 111680.76000000001\n",
      "Solution ID: 66, QUBO x: [1, 1, 1, 0, 1, 1, 1, 0, 1, 0, 0], QUBO value: -32089.609999999997, MaxCut value: 119480.12000000001\n",
      "Solution ID: 67, QUBO x: [1, 1, 1, 0, 1, 1, 0, 0, 1, 0, 0], QUBO value: -43704.83999999998, MaxCut value: 142710.58\n",
      "Solution ID: 68, QUBO x: [1, 1, 1, 0, 1, 1, 0, 0, 0, 1, 0], QUBO value: -38712.029999999984, MaxCut value: 132724.96\n",
      "Solution ID: 69, QUBO x: [1, 1, 1, 0, 1, 1, 0, 0, 0, 0, 0], QUBO value: -33181.73999999999, MaxCut value: 121664.37999999999\n",
      "Solution ID: 70, QUBO x: [1, 1, 1, 1, 1, 0, 0, 0, 0, 1, 1], QUBO value: -50865.73999999999, MaxCut value: 157032.38\n",
      "Solution ID: 71, QUBO x: [1, 1, 1, 0, 1, 0, 1, 1, 1, 0, 1], QUBO value: 27650.450000000004, MaxCut value: 3.637978807091713e-12\n",
      "Solution ID: 72, QUBO x: [1, 1, 1, 0, 1, 0, 1, 1, 1, 0, 0], QUBO value: -9968.449999999993, MaxCut value: 75237.8\n",
      "Solution ID: 73, QUBO x: [1, 1, 1, 0, 1, 0, 1, 1, 0, 0, 1], QUBO value: -28189.929999999997, MaxCut value: 111680.76000000001\n",
      "Solution ID: 74, QUBO x: [1, 1, 1, 0, 1, 0, 1, 1, 0, 0, 0], QUBO value: -43687.67, MaxCut value: 142676.24000000002\n",
      "Solution ID: 75, QUBO x: [1, 1, 1, 0, 1, 0, 1, 0, 1, 0, 1], QUBO value: 11059.580000000005, MaxCut value: 33181.740000000005\n",
      "Solution ID: 76, QUBO x: [1, 1, 1, 0, 1, 0, 1, 0, 0, 1, 0], QUBO value: -21566.51, MaxCut value: 98433.92000000001\n",
      "Solution ID: 77, QUBO x: [1, 1, 1, 0, 1, 0, 1, 0, 0, 0, 1], QUBO value: -22659.639999999996, MaxCut value: 100620.18000000001\n",
      "Solution ID: 78, QUBO x: [1, 1, 1, 0, 1, 0, 0, 1, 1, 0, 0], QUBO value: -21583.679999999997, MaxCut value: 98468.26000000001\n",
      "Solution ID: 79, QUBO x: [1, 1, 1, 0, 1, 0, 0, 1, 0, 1, 1], QUBO value: -45335.44999999998, MaxCut value: 145971.8\n",
      "Solution ID: 80, QUBO x: [1, 1, 1, 0, 1, 0, 0, 0, 1, 0, 0], QUBO value: -38174.54999999999, MaxCut value: 131650.0\n",
      "Solution ID: 81, QUBO x: [1, 1, 1, 0, 1, 0, 0, 0, 0, 1, 0], QUBO value: -33181.73999999999, MaxCut value: 121664.37999999999\n",
      "Solution ID: 82, QUBO x: [1, 1, 1, 0, 0, 1, 1, 1, 1, 0, 1], QUBO value: 33180.740000000005, MaxCut value: -11060.579999999998\n",
      "Solution ID: 83, QUBO x: [1, 1, 1, 0, 0, 1, 1, 1, 1, 0, 0], QUBO value: -4438.159999999993, MaxCut value: 64177.22\n",
      "Solution ID: 84, QUBO x: [1, 1, 1, 0, 0, 1, 1, 1, 0, 1, 0], QUBO value: -21566.50999999999, MaxCut value: 98433.92\n",
      "Solution ID: 85, QUBO x: [1, 1, 1, 0, 0, 1, 1, 1, 0, 0, 0], QUBO value: -38157.37999999999, MaxCut value: 131615.66\n",
      "Solution ID: 86, QUBO x: [1, 1, 1, 0, 0, 1, 0, 1, 1, 1, 0], QUBO value: -21583.67999999999, MaxCut value: 98468.26\n",
      "Solution ID: 87, QUBO x: [1, 1, 1, 0, 0, 1, 0, 1, 0, 0, 0], QUBO value: -27651.449999999993, MaxCut value: 110603.8\n",
      "Solution ID: 88, QUBO x: [1, 1, 1, 0, 0, 1, 0, 0, 0, 1, 1], QUBO value: -34274.869999999995, MaxCut value: 123850.64\n",
      "Solution ID: 89, QUBO x: [1, 1, 1, 1, 0, 0, 1, 1, 0, 0, 1], QUBO value: -28189.929999999997, MaxCut value: 111680.76000000001\n",
      "Solution ID: 90, QUBO x: [1, 1, 1, 0, 0, 1, 0, 0, 0, 1, 0], QUBO value: -27651.449999999993, MaxCut value: 110603.8\n",
      "Solution ID: 91, QUBO x: [1, 1, 1, 0, 0, 1, 0, 0, 0, 0, 1], QUBO value: -28744.57999999999, MaxCut value: 112790.06\n",
      "Solution ID: 92, QUBO x: [1, 1, 1, 0, 0, 0, 1, 1, 1, 1, 0], QUBO value: 17683.000000000007, MaxCut value: 19934.899999999998\n",
      "Solution ID: 93, QUBO x: [1, 1, 1, 0, 0, 0, 1, 1, 1, 0, 0], QUBO value: 1092.1300000000083, MaxCut value: 53116.64\n",
      "Solution ID: 94, QUBO x: [1, 1, 1, 0, 0, 0, 1, 1, 0, 1, 1], QUBO value: -538.4799999999923, MaxCut value: 56377.86\n",
      "Solution ID: 95, QUBO x: [1, 1, 1, 0, 0, 0, 1, 1, 0, 1, 0], QUBO value: -16036.21999999999, MaxCut value: 87373.34\n",
      "Solution ID: 96, QUBO x: [1, 1, 1, 0, 0, 0, 1, 1, 0, 0, 1], QUBO value: -17129.349999999995, MaxCut value: 89559.6\n",
      "Solution ID: 97, QUBO x: [1, 1, 1, 0, 0, 0, 1, 1, 0, 0, 0], QUBO value: -32627.089999999993, MaxCut value: 120555.08\n",
      "Solution ID: 98, QUBO x: [1, 1, 1, 0, 0, 0, 1, 0, 0, 1, 1], QUBO value: 4991.810000000009, MaxCut value: 45317.28\n",
      "Solution ID: 99, QUBO x: [1, 1, 1, 0, 0, 0, 1, 0, 0, 0, 1], QUBO value: -11599.059999999994, MaxCut value: 78499.02\n",
      "Solution ID: 100, QUBO x: [1, 1, 1, 0, 0, 0, 0, 1, 1, 1, 0], QUBO value: -16053.389999999989, MaxCut value: 87407.68\n",
      "Solution ID: 101, QUBO x: [1, 1, 1, 0, 0, 0, 0, 1, 0, 1, 1], QUBO value: -34274.869999999995, MaxCut value: 123850.64\n",
      "Solution ID: 102, QUBO x: [1, 1, 1, 0, 0, 0, 0, 1, 0, 0, 1], QUBO value: -28744.57999999999, MaxCut value: 112790.06\n",
      "Solution ID: 103, QUBO x: [1, 1, 1, 0, 0, 0, 0, 0, 1, 1, 1], QUBO value: -17146.519999999993, MaxCut value: 89593.94\n",
      "Solution ID: 104, QUBO x: [1, 1, 1, 0, 0, 0, 0, 0, 0, 1, 1], QUBO value: -28744.57999999999, MaxCut value: 112790.06\n",
      "Solution ID: 105, QUBO x: [1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1], QUBO value: -23214.28999999999, MaxCut value: 101729.48\n",
      "Solution ID: 106, QUBO x: [1, 1, 0, 1, 1, 1, 1, 1, 1, 1, 1], QUBO value: 38711.030000000006, MaxCut value: -22121.16\n",
      "Solution ID: 107, QUBO x: [1, 1, 0, 1, 1, 1, 1, 1, 1, 0, 1], QUBO value: 22120.160000000007, MaxCut value: 11060.58\n",
      "Solution ID: 108, QUBO x: [1, 1, 0, 1, 1, 1, 1, 1, 0, 1, 1], QUBO value: -17129.349999999995, MaxCut value: 89559.6\n",
      "Solution ID: 109, QUBO x: [1, 1, 1, 0, 1, 0, 1, 0, 1, 1, 0], QUBO value: -9968.449999999993, MaxCut value: 75237.8\n",
      "Solution ID: 110, QUBO x: [1, 1, 1, 0, 1, 0, 0, 0, 1, 0, 1], QUBO value: -22676.809999999994, MaxCut value: 100654.52\n",
      "Solution ID: 111, QUBO x: [1, 1, 0, 1, 1, 1, 1, 1, 0, 0, 0], QUBO value: -49217.95999999999, MaxCut value: 153736.82\n",
      "Solution ID: 112, QUBO x: [1, 1, 0, 1, 1, 1, 1, 0, 1, 0, 1], QUBO value: 5529.290000000008, MaxCut value: 44242.32\n",
      "Solution ID: 113, QUBO x: [1, 1, 0, 1, 1, 1, 1, 0, 1, 0, 0], QUBO value: -32089.609999999997, MaxCut value: 119480.12000000001\n",
      "Solution ID: 114, QUBO x: [1, 1, 0, 1, 1, 1, 1, 0, 0, 1, 1], QUBO value: -11599.059999999994, MaxCut value: 78499.02\n",
      "Solution ID: 115, QUBO x: [1, 1, 0, 1, 1, 1, 1, 0, 0, 1, 0], QUBO value: -27096.799999999992, MaxCut value: 109494.5\n",
      "Solution ID: 116, QUBO x: [1, 1, 1, 0, 1, 0, 1, 0, 1, 1, 1], QUBO value: 27650.450000000004, MaxCut value: 3.637978807091713e-12\n",
      "Solution ID: 117, QUBO x: [1, 1, 0, 1, 1, 1, 1, 0, 0, 0, 0], QUBO value: -43687.669999999984, MaxCut value: 142676.24\n",
      "Solution ID: 118, QUBO x: [1, 1, 1, 0, 1, 1, 0, 0, 1, 0, 1], QUBO value: -28207.099999999995, MaxCut value: 111715.1\n",
      "Solution ID: 119, QUBO x: [1, 1, 0, 1, 1, 1, 0, 1, 1, 0, 0], QUBO value: -27113.96999999999, MaxCut value: 109528.84\n",
      "Solution ID: 120, QUBO x: [1, 1, 0, 1, 1, 1, 0, 1, 0, 1, 0], QUBO value: -44242.31999999998, MaxCut value: 143785.53999999998\n",
      "Solution ID: 121, QUBO x: [1, 1, 0, 1, 1, 1, 0, 0, 1, 0, 1], QUBO value: -28207.099999999995, MaxCut value: 111715.1\n",
      "Solution ID: 122, QUBO x: [1, 1, 0, 1, 1, 1, 0, 0, 0, 1, 1], QUBO value: -45335.44999999998, MaxCut value: 145971.8\n",
      "Solution ID: 123, QUBO x: [1, 1, 0, 1, 1, 0, 1, 1, 1, 1, 1], QUBO value: 44241.32000000001, MaxCut value: -33181.74\n",
      "Solution ID: 124, QUBO x: [1, 1, 0, 1, 1, 0, 1, 1, 1, 0, 0], QUBO value: -9968.449999999993, MaxCut value: 75237.8\n",
      "Solution ID: 125, QUBO x: [1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 0], QUBO value: -27096.8, MaxCut value: 109494.50000000001\n",
      "Solution ID: 126, QUBO x: [1, 1, 0, 1, 1, 0, 1, 1, 0, 0, 0], QUBO value: -43687.67, MaxCut value: 142676.24000000002\n",
      "Solution ID: 127, QUBO x: [1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1], QUBO value: 27650.450000000004, MaxCut value: 3.637978807091713e-12\n",
      "Solution ID: 128, QUBO x: [1, 1, 0, 1, 1, 0, 1, 0, 1, 0, 0], QUBO value: -26559.319999999996, MaxCut value: 108419.54000000001\n",
      "Solution ID: 129, QUBO x: [1, 1, 0, 1, 1, 0, 1, 0, 0, 1, 1], QUBO value: -6068.769999999993, MaxCut value: 67438.44\n",
      "Solution ID: 130, QUBO x: [1, 1, 0, 1, 1, 0, 1, 0, 0, 1, 0], QUBO value: -21566.51, MaxCut value: 98433.92000000001\n",
      "Solution ID: 131, QUBO x: [1, 1, 0, 1, 1, 0, 1, 0, 0, 0, 0], QUBO value: -38157.37999999999, MaxCut value: 131615.66\n",
      "Solution ID: 132, QUBO x: [1, 1, 0, 1, 1, 0, 0, 1, 1, 1, 0], QUBO value: -27113.969999999998, MaxCut value: 109528.84000000001\n",
      "Solution ID: 133, QUBO x: [1, 1, 0, 1, 1, 0, 0, 1, 0, 1, 0], QUBO value: -38712.029999999984, MaxCut value: 132724.96\n",
      "Solution ID: 134, QUBO x: [1, 1, 0, 1, 1, 0, 0, 1, 0, 0, 1], QUBO value: -39805.15999999999, MaxCut value: 134911.22\n",
      "Solution ID: 135, QUBO x: [1, 1, 0, 1, 1, 0, 0, 1, 0, 0, 0], QUBO value: -33181.73999999999, MaxCut value: 121664.37999999999\n",
      "Solution ID: 136, QUBO x: [1, 1, 1, 0, 0, 1, 0, 1, 0, 1, 1], QUBO value: -39805.15999999999, MaxCut value: 134911.22\n",
      "Solution ID: 137, QUBO x: [1, 1, 0, 1, 1, 0, 0, 0, 1, 0, 0], QUBO value: -38174.54999999999, MaxCut value: 131650.0\n",
      "Solution ID: 138, QUBO x: [1, 1, 0, 1, 1, 0, 0, 0, 0, 1, 1], QUBO value: -39805.15999999999, MaxCut value: 134911.22\n",
      "Solution ID: 139, QUBO x: [1, 1, 0, 1, 1, 0, 0, 0, 0, 0, 1], QUBO value: -34274.869999999995, MaxCut value: 123850.64\n",
      "Solution ID: 140, QUBO x: [1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 1], QUBO value: 49771.61000000001, MaxCut value: -44242.32\n",
      "Solution ID: 141, QUBO x: [1, 1, 0, 1, 0, 1, 1, 1, 1, 0, 1], QUBO value: 33180.740000000005, MaxCut value: -11060.579999999998\n",
      "Solution ID: 142, QUBO x: [1, 1, 0, 1, 0, 1, 1, 1, 0, 1, 1], QUBO value: -6068.769999999993, MaxCut value: 67438.44\n",
      "Solution ID: 143, QUBO x: [1, 1, 0, 1, 0, 1, 1, 1, 0, 0, 1], QUBO value: -22659.639999999996, MaxCut value: 100620.18000000001\n",
      "Solution ID: 144, QUBO x: [1, 1, 0, 1, 0, 1, 1, 1, 0, 0, 0], QUBO value: -38157.37999999999, MaxCut value: 131615.66\n",
      "Solution ID: 145, QUBO x: [1, 1, 1, 0, 0, 1, 1, 0, 1, 1, 1], QUBO value: 33180.740000000005, MaxCut value: -11060.579999999998\n",
      "Solution ID: 146, QUBO x: [1, 1, 0, 1, 0, 1, 1, 0, 1, 1, 0], QUBO value: -4438.159999999993, MaxCut value: 64177.22\n",
      "Solution ID: 147, QUBO x: [1, 1, 0, 1, 0, 1, 1, 0, 1, 0, 1], QUBO value: 16589.870000000006, MaxCut value: 22121.160000000003\n",
      "Solution ID: 148, QUBO x: [1, 1, 0, 1, 0, 1, 1, 0, 1, 0, 0], QUBO value: -21029.029999999995, MaxCut value: 97358.96\n",
      "Solution ID: 149, QUBO x: [1, 1, 0, 1, 0, 1, 1, 0, 0, 1, 0], QUBO value: -16036.219999999998, MaxCut value: 87373.34000000001\n",
      "Solution ID: 150, QUBO x: [1, 1, 0, 1, 0, 1, 1, 0, 0, 0, 1], QUBO value: -17129.349999999995, MaxCut value: 89559.6\n",
      "Solution ID: 151, QUBO x: [1, 1, 0, 1, 0, 1, 1, 0, 0, 0, 0], QUBO value: -32627.09, MaxCut value: 120555.08000000002\n",
      "Solution ID: 152, QUBO x: [1, 1, 0, 1, 0, 1, 0, 1, 1, 1, 1], QUBO value: -6085.939999999991, MaxCut value: 67472.78\n",
      "Solution ID: 153, QUBO x: [1, 1, 0, 1, 0, 1, 0, 1, 1, 1, 0], QUBO value: -21583.67999999999, MaxCut value: 98468.26\n",
      "Solution ID: 154, QUBO x: [1, 1, 0, 1, 0, 1, 0, 1, 0, 1, 1], QUBO value: -39805.15999999999, MaxCut value: 134911.22\n",
      "Solution ID: 155, QUBO x: [1, 1, 0, 1, 0, 1, 0, 1, 0, 0, 1], QUBO value: -34274.869999999995, MaxCut value: 123850.64\n",
      "Solution ID: 156, QUBO x: [1, 1, 0, 1, 0, 0, 1, 1, 1, 0, 0], QUBO value: 1092.1300000000083, MaxCut value: 53116.64\n",
      "Solution ID: 157, QUBO x: [1, 1, 0, 1, 0, 0, 1, 1, 0, 0, 1], QUBO value: -17129.349999999995, MaxCut value: 89559.6\n",
      "Solution ID: 158, QUBO x: [1, 1, 0, 1, 0, 0, 1, 1, 0, 0, 0], QUBO value: -32627.089999999993, MaxCut value: 120555.08\n",
      "Solution ID: 159, QUBO x: [1, 1, 0, 1, 0, 0, 1, 0, 1, 1, 1], QUBO value: 38711.030000000006, MaxCut value: -22121.16\n",
      "Solution ID: 160, QUBO x: [1, 1, 0, 1, 0, 0, 1, 0, 1, 0, 1], QUBO value: 22120.160000000007, MaxCut value: 11060.580000000002\n",
      "Solution ID: 161, QUBO x: [1, 1, 0, 1, 0, 0, 1, 0, 0, 1, 1], QUBO value: 4991.810000000009, MaxCut value: 45317.28\n",
      "Solution ID: 162, QUBO x: [1, 1, 0, 1, 0, 0, 1, 0, 0, 1, 0], QUBO value: -10505.92999999999, MaxCut value: 76312.76\n",
      "Solution ID: 163, QUBO x: [1, 1, 0, 1, 0, 0, 1, 0, 0, 0, 1], QUBO value: -11599.059999999994, MaxCut value: 78499.02\n",
      "Solution ID: 164, QUBO x: [1, 1, 0, 1, 0, 0, 0, 1, 1, 0, 0], QUBO value: -10523.099999999988, MaxCut value: 76347.09999999999\n",
      "Solution ID: 165, QUBO x: [1, 1, 0, 1, 0, 0, 0, 1, 0, 1, 1], QUBO value: -34274.869999999995, MaxCut value: 123850.64\n",
      "Solution ID: 166, QUBO x: [1, 1, 0, 1, 0, 0, 0, 1, 0, 1, 0], QUBO value: -27651.449999999993, MaxCut value: 110603.8\n",
      "Solution ID: 167, QUBO x: [1, 1, 1, 0, 1, 1, 0, 1, 1, 1, 1], QUBO value: -17146.519999999993, MaxCut value: 89593.94\n",
      "Solution ID: 168, QUBO x: [1, 1, 0, 1, 0, 0, 0, 0, 1, 1, 1], QUBO value: -17146.519999999993, MaxCut value: 89593.94\n",
      "Solution ID: 169, QUBO x: [1, 1, 1, 0, 1, 1, 0, 1, 1, 0, 0], QUBO value: -27113.96999999999, MaxCut value: 109528.84\n",
      "Solution ID: 170, QUBO x: [1, 1, 0, 1, 0, 0, 0, 0, 1, 1, 0], QUBO value: -32644.25999999999, MaxCut value: 120589.42\n",
      "Solution ID: 171, QUBO x: [1, 1, 0, 1, 0, 0, 0, 0, 1, 0, 0], QUBO value: -27113.96999999999, MaxCut value: 109528.84\n",
      "Solution ID: 172, QUBO x: [1, 1, 0, 1, 0, 0, 0, 0, 0, 1, 1], QUBO value: -28744.57999999999, MaxCut value: 112790.06\n",
      "Solution ID: 173, QUBO x: [1, 1, 0, 0, 1, 1, 1, 1, 1, 1, 1], QUBO value: 49771.61000000001, MaxCut value: -44242.32\n",
      "Solution ID: 174, QUBO x: [1, 1, 1, 0, 0, 1, 0, 1, 0, 0, 1], QUBO value: -34274.869999999995, MaxCut value: 123850.64\n",
      "Solution ID: 175, QUBO x: [1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 1], QUBO value: 33180.740000000005, MaxCut value: -11060.579999999998\n",
      "Solution ID: 176, QUBO x: [1, 1, 0, 0, 1, 1, 1, 1, 0, 1, 0], QUBO value: -21566.50999999999, MaxCut value: 98433.92\n",
      "Solution ID: 177, QUBO x: [1, 1, 0, 0, 1, 1, 1, 0, 1, 1, 1], QUBO value: 33180.740000000005, MaxCut value: -11060.579999999998\n",
      "Solution ID: 178, QUBO x: [1, 1, 0, 0, 1, 1, 1, 0, 1, 0, 0], QUBO value: -21029.029999999995, MaxCut value: 97358.96\n",
      "Solution ID: 179, QUBO x: [1, 1, 0, 0, 1, 1, 1, 0, 0, 1, 1], QUBO value: -538.4799999999923, MaxCut value: 56377.86\n",
      "Solution ID: 180, QUBO x: [1, 1, 0, 1, 1, 1, 1, 1, 1, 0, 0], QUBO value: -15498.739999999994, MaxCut value: 86298.38\n",
      "Solution ID: 181, QUBO x: [1, 1, 0, 0, 1, 1, 0, 1, 1, 0, 0], QUBO value: -16053.389999999989, MaxCut value: 87407.68\n",
      "Solution ID: 182, QUBO x: [1, 1, 1, 0, 0, 0, 1, 0, 1, 1, 0], QUBO value: 1092.1300000000083, MaxCut value: 53116.64\n",
      "Solution ID: 183, QUBO x: [1, 1, 0, 0, 1, 1, 0, 1, 0, 1, 0], QUBO value: -33181.73999999999, MaxCut value: 121664.38\n",
      "Solution ID: 184, QUBO x: [1, 1, 1, 0, 1, 0, 1, 0, 0, 0, 0], QUBO value: -38157.37999999999, MaxCut value: 131615.66\n",
      "Solution ID: 185, QUBO x: [1, 1, 0, 0, 1, 1, 0, 1, 0, 0, 1], QUBO value: -34274.869999999995, MaxCut value: 123850.64\n",
      "Solution ID: 186, QUBO x: [1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0], QUBO value: -38174.54999999999, MaxCut value: 131650.0\n",
      "Solution ID: 187, QUBO x: [1, 1, 0, 0, 1, 1, 0, 0, 1, 0, 1], QUBO value: -17146.519999999993, MaxCut value: 89593.94\n",
      "Solution ID: 188, QUBO x: [1, 1, 0, 0, 1, 1, 0, 0, 0, 1, 0], QUBO value: -27651.449999999993, MaxCut value: 110603.8\n",
      "Solution ID: 189, QUBO x: [1, 1, 1, 1, 0, 1, 1, 0, 1, 1, 1], QUBO value: 22120.160000000007, MaxCut value: 11060.58\n",
      "Solution ID: 190, QUBO x: [1, 1, 0, 0, 1, 1, 0, 0, 0, 0, 1], QUBO value: -28744.57999999999, MaxCut value: 112790.06\n",
      "Solution ID: 191, QUBO x: [1, 1, 0, 0, 1, 0, 1, 1, 1, 1, 0], QUBO value: 17683.000000000007, MaxCut value: 19934.899999999998\n",
      "Solution ID: 192, QUBO x: [1, 1, 0, 0, 1, 0, 1, 1, 1, 0, 0], QUBO value: 1092.1300000000083, MaxCut value: 53116.64\n",
      "Solution ID: 193, QUBO x: [1, 1, 0, 0, 1, 0, 1, 1, 0, 0, 1], QUBO value: -17129.349999999995, MaxCut value: 89559.6\n",
      "Solution ID: 194, QUBO x: [1, 1, 0, 0, 1, 0, 1, 1, 0, 0, 0], QUBO value: -32627.089999999993, MaxCut value: 120555.08\n",
      "Solution ID: 195, QUBO x: [1, 1, 0, 0, 1, 0, 1, 0, 1, 1, 0], QUBO value: 1092.1300000000083, MaxCut value: 53116.64\n",
      "Solution ID: 196, QUBO x: [1, 1, 0, 0, 1, 0, 1, 0, 1, 0, 1], QUBO value: 22120.160000000007, MaxCut value: 11060.580000000002\n",
      "Solution ID: 197, QUBO x: [1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0], QUBO value: 17683.000000000007, MaxCut value: 19934.899999999998\n",
      "Solution ID: 198, QUBO x: [1, 1, 0, 0, 1, 0, 1, 0, 0, 0, 1], QUBO value: -11599.059999999994, MaxCut value: 78499.02\n",
      "Solution ID: 199, QUBO x: [1, 1, 1, 1, 1, 0, 1, 0, 0, 1, 1], QUBO value: -17129.349999999995, MaxCut value: 89559.6\n",
      "Solution ID: 200, QUBO x: [1, 1, 0, 0, 1, 0, 1, 0, 0, 0, 0], QUBO value: -27096.799999999992, MaxCut value: 109494.5\n",
      "Solution ID: 201, QUBO x: [1, 1, 0, 0, 1, 0, 0, 1, 1, 1, 1], QUBO value: -555.6499999999905, MaxCut value: 56412.2\n",
      "Solution ID: 202, QUBO x: [1, 1, 0, 0, 1, 0, 0, 1, 1, 1, 0], QUBO value: -16053.389999999989, MaxCut value: 87407.68\n",
      "Solution ID: 203, QUBO x: [1, 1, 0, 0, 1, 0, 0, 1, 0, 1, 1], QUBO value: -34274.869999999995, MaxCut value: 123850.64\n",
      "Solution ID: 204, QUBO x: [1, 1, 0, 0, 1, 0, 0, 1, 0, 0, 0], QUBO value: -22121.159999999993, MaxCut value: 99543.22\n",
      "Solution ID: 205, QUBO x: [1, 1, 0, 0, 1, 0, 0, 0, 1, 1, 1], QUBO value: -17146.519999999993, MaxCut value: 89593.94\n",
      "Solution ID: 206, QUBO x: [1, 1, 0, 0, 1, 0, 0, 0, 1, 1, 0], QUBO value: -32644.25999999999, MaxCut value: 120589.42\n",
      "Solution ID: 207, QUBO x: [1, 1, 0, 0, 1, 0, 0, 0, 1, 0, 1], QUBO value: -11616.229999999992, MaxCut value: 78533.36\n",
      "Solution ID: 208, QUBO x: [1, 1, 0, 0, 1, 0, 0, 0, 0, 1, 1], QUBO value: -28744.57999999999, MaxCut value: 112790.06\n",
      "Solution ID: 209, QUBO x: [1, 1, 0, 0, 1, 0, 1, 1, 1, 0, 1], QUBO value: 38711.030000000006, MaxCut value: -22121.16\n",
      "Solution ID: 210, QUBO x: [1, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0], QUBO value: -22121.159999999993, MaxCut value: 99543.22\n",
      "Solution ID: 211, QUBO x: [1, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1], QUBO value: -23214.28999999999, MaxCut value: 101729.48\n",
      "Solution ID: 212, QUBO x: [1, 1, 0, 0, 0, 1, 1, 1, 0, 1, 1], QUBO value: 4991.810000000009, MaxCut value: 45317.28\n",
      "Solution ID: 213, QUBO x: [1, 1, 0, 0, 0, 1, 1, 1, 0, 1, 0], QUBO value: -10505.929999999997, MaxCut value: 76312.76000000001\n",
      "Solution ID: 214, QUBO x: [1, 1, 0, 0, 0, 1, 1, 1, 0, 0, 1], QUBO value: -11599.059999999994, MaxCut value: 78499.02\n",
      "Solution ID: 215, QUBO x: [1, 1, 0, 0, 0, 1, 1, 1, 0, 0, 0], QUBO value: -27096.8, MaxCut value: 109494.50000000001\n",
      "Solution ID: 216, QUBO x: [1, 1, 0, 0, 0, 1, 1, 0, 1, 1, 1], QUBO value: 44241.32000000001, MaxCut value: -33181.73999999999\n",
      "Solution ID: 217, QUBO x: [1, 1, 1, 0, 1, 1, 1, 1, 1, 1, 1], QUBO value: 38711.030000000006, MaxCut value: -22121.16\n",
      "Solution ID: 218, QUBO x: [1, 1, 0, 0, 0, 1, 1, 0, 0, 1, 1], QUBO value: 10522.100000000006, MaxCut value: 34256.700000000004\n",
      "Solution ID: 219, QUBO x: [1, 1, 0, 0, 0, 1, 1, 0, 0, 1, 0], QUBO value: -4975.639999999996, MaxCut value: 65252.18000000001\n",
      "Solution ID: 220, QUBO x: [1, 1, 0, 1, 0, 1, 0, 1, 0, 1, 0], QUBO value: -33181.73999999999, MaxCut value: 121664.38\n",
      "Solution ID: 221, QUBO x: [1, 1, 0, 0, 0, 1, 0, 1, 1, 1, 1], QUBO value: 4974.64000000001, MaxCut value: 45351.619999999995\n",
      "Solution ID: 222, QUBO x: [1, 1, 0, 0, 0, 1, 0, 0, 1, 1, 1], QUBO value: -11616.229999999992, MaxCut value: 78533.36\n",
      "Solution ID: 223, QUBO x: [1, 1, 1, 1, 1, 1, 1, 0, 1, 1, 0], QUBO value: -26559.319999999996, MaxCut value: 108419.54000000001\n",
      "Solution ID: 224, QUBO x: [1, 1, 0, 0, 0, 1, 0, 0, 1, 1, 0], QUBO value: -27113.969999999998, MaxCut value: 109528.84000000001\n",
      "Solution ID: 225, QUBO x: [1, 1, 0, 0, 0, 1, 0, 0, 1, 0, 1], QUBO value: -6085.939999999991, MaxCut value: 67472.78\n",
      "Solution ID: 226, QUBO x: [1, 1, 0, 0, 0, 1, 0, 0, 0, 1, 1], QUBO value: -23214.289999999997, MaxCut value: 101729.48000000001\n",
      "Solution ID: 227, QUBO x: [1, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0], QUBO value: -16590.86999999999, MaxCut value: 88482.64\n",
      "Solution ID: 228, QUBO x: [1, 1, 0, 1, 0, 0, 1, 1, 0, 1, 1], QUBO value: -538.4799999999923, MaxCut value: 56377.86\n",
      "Solution ID: 229, QUBO x: [1, 1, 0, 0, 0, 0, 1, 1, 1, 1, 1], QUBO value: 66362.48000000001, MaxCut value: -77424.06\n",
      "Solution ID: 230, QUBO x: [1, 1, 0, 0, 0, 0, 1, 1, 1, 1, 0], QUBO value: 28743.58000000001, MaxCut value: -2186.260000000002\n",
      "Solution ID: 231, QUBO x: [1, 1, 0, 0, 0, 0, 1, 1, 1, 0, 0], QUBO value: 12152.710000000008, MaxCut value: 30995.48\n",
      "Solution ID: 232, QUBO x: [1, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1], QUBO value: 10522.10000000001, MaxCut value: 34256.7\n",
      "Solution ID: 233, QUBO x: [1, 1, 1, 1, 0, 1, 0, 0, 1, 1, 1], QUBO value: -33737.39, MaxCut value: 122775.68000000001\n",
      "Solution ID: 234, QUBO x: [1, 1, 0, 0, 0, 0, 1, 1, 0, 1, 0], QUBO value: -4975.639999999996, MaxCut value: 65252.18000000001\n",
      "Solution ID: 235, QUBO x: [1, 1, 0, 0, 0, 0, 1, 1, 0, 0, 0], QUBO value: -21566.51, MaxCut value: 98433.92000000001\n",
      "Solution ID: 236, QUBO x: [1, 1, 0, 1, 1, 0, 1, 1, 1, 1, 0], QUBO value: 6622.420000000009, MaxCut value: 42056.06\n",
      "Solution ID: 237, QUBO x: [1, 1, 0, 0, 0, 0, 1, 0, 1, 1, 1], QUBO value: 49771.61, MaxCut value: -44242.31999999999\n",
      "Solution ID: 238, QUBO x: [1, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1], QUBO value: -538.4799999999923, MaxCut value: 56377.86\n",
      "Solution ID: 239, QUBO x: [1, 1, 0, 0, 0, 0, 0, 1, 1, 1, 1], QUBO value: 10504.930000000011, MaxCut value: 34291.03999999999\n",
      "Solution ID: 240, QUBO x: [1, 1, 0, 0, 0, 0, 0, 1, 1, 1, 0], QUBO value: -4992.809999999994, MaxCut value: 65286.520000000004\n",
      "Solution ID: 241, QUBO x: [1, 1, 0, 0, 0, 0, 0, 1, 1, 0, 1], QUBO value: 16035.220000000008, MaxCut value: 23230.46\n",
      "Solution ID: 242, QUBO x: [1, 1, 0, 1, 1, 0, 0, 1, 1, 1, 1], QUBO value: -11616.229999999992, MaxCut value: 78533.36\n",
      "Solution ID: 243, QUBO x: [1, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0], QUBO value: 537.4800000000068, MaxCut value: 54225.94\n",
      "Solution ID: 244, QUBO x: [1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0], QUBO value: -16053.389999999996, MaxCut value: 87407.68000000001\n",
      "Solution ID: 245, QUBO x: [1, 1, 1, 0, 0, 0, 1, 0, 1, 0, 1], QUBO value: 22120.160000000007, MaxCut value: 11060.580000000002\n",
      "Solution ID: 246, QUBO x: [1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1], QUBO value: -17683.999999999996, MaxCut value: 90668.90000000001\n",
      "Solution ID: 247, QUBO x: [1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0], QUBO value: -11060.57999999999, MaxCut value: 77422.06\n",
      "Solution ID: 248, QUBO x: [1, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1], QUBO value: 33180.740000000005, MaxCut value: -11060.58\n",
      "Solution ID: 249, QUBO x: [1, 0, 1, 1, 1, 1, 1, 1, 1, 1, 0], QUBO value: -4438.159999999993, MaxCut value: 64177.22\n",
      "Solution ID: 250, QUBO x: [1, 0, 1, 1, 1, 1, 1, 1, 0, 1, 1], QUBO value: -22659.639999999996, MaxCut value: 100620.18000000001\n",
      "Solution ID: 251, QUBO x: [1, 0, 1, 1, 1, 1, 1, 1, 0, 1, 0], QUBO value: -38157.37999999999, MaxCut value: 131615.66\n",
      "Solution ID: 252, QUBO x: [1, 0, 1, 1, 1, 1, 1, 1, 0, 0, 1], QUBO value: -39250.509999999995, MaxCut value: 133801.92\n",
      "Solution ID: 253, QUBO x: [1, 0, 1, 1, 1, 1, 1, 1, 0, 0, 0], QUBO value: -54748.249999999985, MaxCut value: 164797.4\n",
      "Solution ID: 254, QUBO x: [1, 0, 1, 1, 1, 1, 1, 0, 1, 1, 1], QUBO value: 16589.87000000001, MaxCut value: 22121.16\n",
      "Solution ID: 255, QUBO x: [1, 0, 1, 1, 1, 1, 1, 0, 1, 1, 0], QUBO value: -21029.029999999995, MaxCut value: 97358.96\n",
      "Solution ID: 256, QUBO x: [1, 0, 1, 1, 1, 1, 1, 0, 0, 1, 0], QUBO value: -32627.089999999993, MaxCut value: 120555.08\n",
      "Solution ID: 257, QUBO x: [1, 0, 1, 1, 1, 1, 0, 1, 1, 0, 1], QUBO value: -17146.519999999993, MaxCut value: 89593.94\n",
      "Solution ID: 258, QUBO x: [1, 0, 1, 1, 1, 1, 0, 1, 0, 0, 1], QUBO value: -50865.73999999999, MaxCut value: 157032.38\n",
      "Solution ID: 259, QUBO x: [1, 0, 1, 1, 1, 1, 0, 0, 1, 0, 1], QUBO value: -33737.39, MaxCut value: 122775.68000000001\n",
      "Solution ID: 260, QUBO x: [1, 1, 0, 1, 1, 1, 0, 0, 1, 1, 1], QUBO value: -33737.39, MaxCut value: 122775.68000000001\n",
      "Solution ID: 261, QUBO x: [1, 0, 1, 1, 1, 1, 0, 0, 0, 1, 0], QUBO value: -44242.31999999998, MaxCut value: 143785.53999999998\n",
      "Solution ID: 262, QUBO x: [1, 0, 1, 1, 1, 1, 0, 0, 0, 0, 0], QUBO value: -38712.029999999984, MaxCut value: 132724.96\n",
      "Solution ID: 263, QUBO x: [1, 0, 1, 1, 1, 0, 1, 1, 1, 1, 0], QUBO value: 1092.1300000000083, MaxCut value: 53116.64\n",
      "Solution ID: 264, QUBO x: [1, 0, 1, 1, 1, 0, 1, 1, 1, 0, 1], QUBO value: 22120.160000000007, MaxCut value: 11060.58\n",
      "Solution ID: 265, QUBO x: [1, 0, 1, 1, 1, 0, 1, 1, 0, 0, 0], QUBO value: -49217.95999999999, MaxCut value: 153736.82\n",
      "Solution ID: 266, QUBO x: [1, 0, 1, 1, 1, 0, 1, 0, 1, 1, 0], QUBO value: -15498.739999999994, MaxCut value: 86298.38\n",
      "Solution ID: 267, QUBO x: [1, 0, 1, 1, 1, 0, 1, 0, 0, 1, 1], QUBO value: -11599.059999999994, MaxCut value: 78499.02\n",
      "Solution ID: 268, QUBO x: [1, 0, 1, 1, 1, 0, 1, 0, 0, 1, 0], QUBO value: -27096.799999999992, MaxCut value: 109494.5\n",
      "Solution ID: 269, QUBO x: [1, 0, 1, 1, 1, 0, 0, 1, 1, 1, 1], QUBO value: -17146.519999999993, MaxCut value: 89593.94\n",
      "Solution ID: 270, QUBO x: [1, 0, 1, 1, 1, 0, 0, 1, 1, 0, 1], QUBO value: -11616.229999999992, MaxCut value: 78533.36\n",
      "Solution ID: 271, QUBO x: [1, 0, 1, 1, 1, 1, 0, 0, 1, 1, 0], QUBO value: -54765.419999999984, MaxCut value: 164831.74\n",
      "Solution ID: 272, QUBO x: [1, 0, 1, 1, 1, 0, 0, 1, 1, 0, 0], QUBO value: -27113.96999999999, MaxCut value: 109528.84\n",
      "Solution ID: 273, QUBO x: [1, 0, 1, 1, 1, 0, 0, 1, 0, 1, 0], QUBO value: -44242.31999999998, MaxCut value: 143785.53999999998\n",
      "Solution ID: 274, QUBO x: [1, 0, 1, 1, 1, 0, 0, 0, 1, 1, 1], QUBO value: -33737.39, MaxCut value: 122775.68000000001\n",
      "Solution ID: 275, QUBO x: [1, 0, 1, 1, 1, 0, 0, 0, 1, 1, 0], QUBO value: -49235.12999999999, MaxCut value: 153771.16\n",
      "Solution ID: 276, QUBO x: [1, 0, 1, 1, 1, 0, 0, 0, 1, 0, 1], QUBO value: -28207.099999999995, MaxCut value: 111715.1\n",
      "Solution ID: 277, QUBO x: [1, 0, 1, 1, 1, 0, 0, 0, 0, 1, 1], QUBO value: -45335.44999999998, MaxCut value: 145971.8\n",
      "Solution ID: 278, QUBO x: [1, 1, 1, 0, 1, 1, 1, 0, 0, 1, 1], QUBO value: -11599.059999999994, MaxCut value: 78499.02\n",
      "Solution ID: 279, QUBO x: [1, 0, 1, 1, 1, 0, 0, 0, 0, 0, 1], QUBO value: -39805.15999999999, MaxCut value: 134911.22\n",
      "Solution ID: 280, QUBO x: [1, 0, 1, 1, 0, 1, 1, 1, 1, 1, 1], QUBO value: 44241.32000000001, MaxCut value: -33181.74\n",
      "Solution ID: 281, QUBO x: [1, 0, 1, 1, 0, 1, 1, 1, 0, 1, 1], QUBO value: -11599.059999999994, MaxCut value: 78499.02\n",
      "Solution ID: 282, QUBO x: [1, 0, 1, 1, 0, 1, 1, 1, 0, 0, 0], QUBO value: -43687.67, MaxCut value: 142676.24000000002\n",
      "Solution ID: 283, QUBO x: [1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 1], QUBO value: 27650.450000000004, MaxCut value: 3.637978807091713e-12\n",
      "Solution ID: 284, QUBO x: [1, 1, 1, 1, 0, 1, 0, 0, 0, 1, 1], QUBO value: -45335.44999999998, MaxCut value: 145971.8\n",
      "Solution ID: 285, QUBO x: [1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0], QUBO value: -9968.449999999993, MaxCut value: 75237.8\n",
      "Solution ID: 286, QUBO x: [1, 0, 1, 1, 0, 1, 1, 0, 1, 0, 0], QUBO value: -26559.319999999996, MaxCut value: 108419.54000000001\n",
      "Solution ID: 287, QUBO x: [1, 0, 1, 1, 0, 1, 1, 0, 0, 1, 0], QUBO value: -21566.51, MaxCut value: 98433.92000000001\n",
      "Solution ID: 288, QUBO x: [1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1], QUBO value: -11616.229999999992, MaxCut value: 78533.36\n",
      "Solution ID: 289, QUBO x: [1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 0], QUBO value: -27113.969999999998, MaxCut value: 109528.84000000001\n",
      "Solution ID: 290, QUBO x: [1, 0, 1, 1, 0, 1, 0, 1, 1, 0, 1], QUBO value: -6085.939999999991, MaxCut value: 67472.78\n",
      "Solution ID: 291, QUBO x: [1, 1, 1, 1, 0, 0, 0, 1, 0, 0, 0], QUBO value: -33181.73999999999, MaxCut value: 121664.37999999999\n",
      "Solution ID: 292, QUBO x: [1, 0, 1, 1, 0, 1, 0, 1, 0, 1, 1], QUBO value: -45335.44999999998, MaxCut value: 145971.8\n",
      "Solution ID: 293, QUBO x: [1, 0, 1, 1, 0, 1, 0, 1, 0, 1, 0], QUBO value: -38712.029999999984, MaxCut value: 132724.96\n",
      "Solution ID: 294, QUBO x: [1, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1], QUBO value: -28207.099999999995, MaxCut value: 111715.1\n",
      "Solution ID: 295, QUBO x: [1, 0, 1, 1, 0, 1, 0, 0, 1, 1, 0], QUBO value: -43704.84, MaxCut value: 142710.58000000002\n",
      "Solution ID: 296, QUBO x: [1, 0, 1, 1, 0, 1, 0, 0, 1, 0, 1], QUBO value: -22676.809999999994, MaxCut value: 100654.52\n",
      "Solution ID: 297, QUBO x: [1, 0, 1, 1, 0, 1, 0, 0, 0, 0, 0], QUBO value: -27651.449999999986, MaxCut value: 110603.79999999999\n",
      "Solution ID: 298, QUBO x: [1, 0, 1, 1, 0, 0, 1, 1, 1, 1, 0], QUBO value: 12152.710000000008, MaxCut value: 30995.48\n",
      "Solution ID: 299, QUBO x: [1, 0, 1, 1, 0, 0, 1, 1, 1, 0, 1], QUBO value: 33180.740000000005, MaxCut value: -11060.579999999998\n",
      "Solution ID: 300, QUBO x: [1, 0, 1, 1, 0, 0, 1, 1, 1, 0, 0], QUBO value: -4438.159999999993, MaxCut value: 64177.22\n",
      "Solution ID: 301, QUBO x: [1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0], QUBO value: -26559.319999999996, MaxCut value: 108419.54000000001\n",
      "Solution ID: 302, QUBO x: [1, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0], QUBO value: -11060.57999999999, MaxCut value: 77422.06\n",
      "Solution ID: 303, QUBO x: [1, 0, 1, 1, 0, 0, 1, 1, 0, 0, 0], QUBO value: -38157.37999999999, MaxCut value: 131615.66\n",
      "Solution ID: 304, QUBO x: [1, 0, 1, 1, 0, 0, 1, 0, 1, 1, 0], QUBO value: -4438.159999999993, MaxCut value: 64177.22\n",
      "Solution ID: 305, QUBO x: [1, 0, 1, 1, 0, 0, 1, 0, 1, 0, 1], QUBO value: 16589.870000000006, MaxCut value: 22121.160000000003\n",
      "Solution ID: 306, QUBO x: [1, 0, 1, 1, 0, 0, 1, 0, 0, 1, 0], QUBO value: -16036.219999999998, MaxCut value: 87373.34000000001\n",
      "Solution ID: 307, QUBO x: [1, 1, 0, 1, 0, 1, 1, 1, 1, 0, 0], QUBO value: -4438.159999999993, MaxCut value: 64177.22\n",
      "Solution ID: 308, QUBO x: [1, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1], QUBO value: -6085.939999999991, MaxCut value: 67472.78\n",
      "Solution ID: 309, QUBO x: [1, 0, 1, 1, 0, 0, 0, 1, 0, 1, 1], QUBO value: -39805.15999999999, MaxCut value: 134911.22\n",
      "Solution ID: 310, QUBO x: [1, 0, 1, 1, 0, 0, 0, 1, 0, 0, 0], QUBO value: -27651.449999999993, MaxCut value: 110603.8\n",
      "Solution ID: 311, QUBO x: [1, 0, 1, 1, 0, 0, 1, 0, 0, 0, 1], QUBO value: -17129.349999999995, MaxCut value: 89559.6\n",
      "Solution ID: 312, QUBO x: [1, 0, 1, 1, 0, 0, 0, 0, 1, 1, 1], QUBO value: -22676.809999999994, MaxCut value: 100654.52\n",
      "Solution ID: 313, QUBO x: [1, 1, 0, 0, 0, 1, 0, 1, 0, 1, 1], QUBO value: -28744.579999999998, MaxCut value: 112790.06000000001\n",
      "Solution ID: 314, QUBO x: [1, 0, 1, 1, 0, 0, 0, 0, 1, 1, 0], QUBO value: -38174.54999999999, MaxCut value: 131650.0\n",
      "Solution ID: 315, QUBO x: [1, 0, 1, 1, 0, 0, 0, 0, 1, 0, 1], QUBO value: -17146.519999999993, MaxCut value: 89593.94\n",
      "Solution ID: 316, QUBO x: [1, 0, 1, 1, 0, 0, 0, 0, 1, 0, 0], QUBO value: -32644.25999999999, MaxCut value: 120589.42\n",
      "Solution ID: 317, QUBO x: [1, 0, 1, 1, 0, 0, 0, 0, 0, 0, 1], QUBO value: -28744.57999999999, MaxCut value: 112790.06\n",
      "Solution ID: 318, QUBO x: [1, 1, 0, 0, 0, 1, 1, 1, 1, 0, 1], QUBO value: 44241.32000000001, MaxCut value: -33181.73999999999\n",
      "Solution ID: 319, QUBO x: [1, 0, 1, 1, 0, 0, 0, 0, 0, 0, 0], QUBO value: -22121.159999999985, MaxCut value: 99543.21999999999\n",
      "Solution ID: 320, QUBO x: [1, 1, 1, 0, 1, 1, 0, 1, 1, 1, 0], QUBO value: -32644.25999999999, MaxCut value: 120589.42\n",
      "Solution ID: 321, QUBO x: [1, 0, 1, 0, 1, 1, 1, 1, 1, 1, 1], QUBO value: 44241.32000000001, MaxCut value: -33181.74\n",
      "Solution ID: 322, QUBO x: [1, 0, 1, 1, 0, 1, 1, 1, 0, 1, 0], QUBO value: -27096.8, MaxCut value: 109494.50000000001\n",
      "Solution ID: 323, QUBO x: [1, 0, 1, 0, 1, 1, 1, 1, 1, 0, 0], QUBO value: -9968.449999999993, MaxCut value: 75237.8\n",
      "Solution ID: 324, QUBO x: [1, 0, 1, 0, 1, 1, 1, 1, 0, 0, 1], QUBO value: -28189.929999999997, MaxCut value: 111680.76000000001\n",
      "Solution ID: 325, QUBO x: [1, 1, 0, 1, 0, 1, 0, 1, 1, 0, 1], QUBO value: -555.6499999999905, MaxCut value: 56412.2\n",
      "Solution ID: 326, QUBO x: [1, 1, 0, 0, 1, 1, 1, 1, 1, 1, 0], QUBO value: 12152.710000000008, MaxCut value: 30995.48\n",
      "Solution ID: 327, QUBO x: [1, 0, 1, 0, 1, 1, 1, 0, 1, 0, 0], QUBO value: -26559.319999999996, MaxCut value: 108419.54000000001\n",
      "Solution ID: 328, QUBO x: [1, 1, 0, 0, 1, 1, 1, 1, 0, 0, 0], QUBO value: -38157.37999999999, MaxCut value: 131615.66\n",
      "Solution ID: 329, QUBO x: [1, 0, 1, 0, 1, 1, 1, 0, 0, 1, 1], QUBO value: -6068.769999999993, MaxCut value: 67438.44\n",
      "Solution ID: 330, QUBO x: [1, 0, 1, 0, 1, 1, 1, 0, 0, 0, 1], QUBO value: -22659.639999999996, MaxCut value: 100620.18000000001\n",
      "Solution ID: 331, QUBO x: [1, 0, 1, 0, 1, 1, 1, 0, 0, 0, 0], QUBO value: -38157.37999999999, MaxCut value: 131615.66\n",
      "Solution ID: 332, QUBO x: [1, 0, 1, 0, 1, 1, 0, 1, 1, 0, 0], QUBO value: -21583.679999999997, MaxCut value: 98468.26000000001\n",
      "Solution ID: 333, QUBO x: [1, 0, 1, 0, 1, 1, 0, 1, 0, 1, 0], QUBO value: -38712.029999999984, MaxCut value: 132724.96\n",
      "Solution ID: 334, QUBO x: [1, 0, 1, 0, 1, 1, 0, 1, 0, 0, 1], QUBO value: -39805.15999999999, MaxCut value: 134911.22\n",
      "Solution ID: 335, QUBO x: [1, 1, 1, 0, 0, 1, 0, 1, 1, 0, 1], QUBO value: -555.6499999999905, MaxCut value: 56412.2\n",
      "Solution ID: 336, QUBO x: [1, 0, 1, 0, 1, 1, 0, 0, 1, 1, 1], QUBO value: -28207.099999999995, MaxCut value: 111715.1\n",
      "Solution ID: 337, QUBO x: [1, 0, 1, 0, 1, 1, 0, 0, 0, 1, 1], QUBO value: -39805.15999999999, MaxCut value: 134911.22\n",
      "Solution ID: 338, QUBO x: [1, 0, 1, 0, 1, 0, 1, 1, 1, 1, 1], QUBO value: 49771.61000000001, MaxCut value: -44242.32\n",
      "Solution ID: 339, QUBO x: [1, 1, 0, 0, 0, 1, 0, 1, 1, 1, 0], QUBO value: -10523.099999999995, MaxCut value: 76347.1\n",
      "Solution ID: 340, QUBO x: [1, 0, 1, 0, 1, 0, 1, 1, 1, 1, 0], QUBO value: 12152.710000000008, MaxCut value: 30995.48\n",
      "Solution ID: 341, QUBO x: [1, 0, 1, 0, 1, 0, 1, 1, 1, 0, 1], QUBO value: 33180.740000000005, MaxCut value: -11060.579999999998\n",
      "Solution ID: 342, QUBO x: [1, 0, 1, 0, 1, 0, 1, 1, 0, 1, 1], QUBO value: -6068.769999999993, MaxCut value: 67438.44\n",
      "Solution ID: 343, QUBO x: [1, 0, 1, 0, 1, 0, 1, 1, 0, 0, 0], QUBO value: -38157.37999999999, MaxCut value: 131615.66\n",
      "Solution ID: 344, QUBO x: [1, 0, 1, 0, 1, 0, 1, 0, 1, 1, 0], QUBO value: -4438.159999999993, MaxCut value: 64177.22\n",
      "Solution ID: 345, QUBO x: [1, 0, 1, 0, 1, 0, 1, 0, 1, 0, 0], QUBO value: -21029.029999999995, MaxCut value: 97358.96\n",
      "Solution ID: 346, QUBO x: [1, 0, 1, 0, 1, 0, 1, 0, 0, 1, 1], QUBO value: -538.4799999999923, MaxCut value: 56377.86\n",
      "Solution ID: 347, QUBO x: [1, 0, 1, 0, 1, 0, 1, 0, 0, 1, 0], QUBO value: -16036.219999999998, MaxCut value: 87373.34000000001\n",
      "Solution ID: 348, QUBO x: [1, 0, 1, 0, 1, 0, 1, 0, 0, 0, 1], QUBO value: -17129.349999999995, MaxCut value: 89559.6\n",
      "Solution ID: 349, QUBO x: [1, 0, 1, 0, 1, 0, 1, 0, 0, 0, 0], QUBO value: -32627.09, MaxCut value: 120555.08000000002\n",
      "Solution ID: 350, QUBO x: [1, 0, 1, 0, 1, 0, 0, 1, 1, 1, 0], QUBO value: -21583.67999999999, MaxCut value: 98468.26\n",
      "Solution ID: 351, QUBO x: [1, 1, 1, 1, 0, 1, 1, 1, 1, 1, 0], QUBO value: 1092.1300000000083, MaxCut value: 53116.64\n",
      "Solution ID: 352, QUBO x: [1, 0, 1, 0, 1, 0, 0, 1, 1, 0, 1], QUBO value: -555.6499999999905, MaxCut value: 56412.2\n",
      "Solution ID: 353, QUBO x: [1, 0, 1, 0, 1, 0, 0, 1, 1, 0, 0], QUBO value: -16053.389999999989, MaxCut value: 87407.68\n",
      "Solution ID: 354, QUBO x: [1, 1, 0, 1, 0, 0, 1, 1, 1, 0, 1], QUBO value: 38711.030000000006, MaxCut value: -22121.16\n",
      "Solution ID: 355, QUBO x: [1, 0, 1, 0, 1, 0, 0, 1, 0, 1, 1], QUBO value: -39805.15999999999, MaxCut value: 134911.22\n",
      "Solution ID: 356, QUBO x: [1, 1, 1, 1, 0, 1, 1, 0, 0, 1, 0], QUBO value: -27096.799999999992, MaxCut value: 109494.5\n",
      "Solution ID: 357, QUBO x: [1, 0, 1, 0, 1, 0, 0, 1, 0, 0, 1], QUBO value: -34274.869999999995, MaxCut value: 123850.64\n",
      "Solution ID: 358, QUBO x: [1, 0, 1, 0, 1, 0, 0, 1, 0, 0, 0], QUBO value: -27651.449999999993, MaxCut value: 110603.8\n",
      "Solution ID: 359, QUBO x: [1, 0, 1, 0, 1, 0, 0, 0, 1, 1, 0], QUBO value: -38174.54999999999, MaxCut value: 131650.0\n",
      "Solution ID: 360, QUBO x: [1, 0, 1, 0, 1, 0, 0, 0, 0, 1, 1], QUBO value: -34274.869999999995, MaxCut value: 123850.64\n",
      "Solution ID: 361, QUBO x: [1, 1, 1, 1, 0, 1, 1, 1, 0, 1, 1], QUBO value: -17129.349999999995, MaxCut value: 89559.6\n",
      "Solution ID: 362, QUBO x: [1, 0, 1, 0, 1, 0, 0, 0, 0, 1, 0], QUBO value: -27651.449999999993, MaxCut value: 110603.8\n",
      "Solution ID: 363, QUBO x: [1, 0, 1, 0, 1, 0, 0, 0, 0, 0, 1], QUBO value: -28744.57999999999, MaxCut value: 112790.06\n",
      "Solution ID: 364, QUBO x: [1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 0], QUBO value: 17683.000000000007, MaxCut value: 19934.900000000005\n",
      "Solution ID: 365, QUBO x: [1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 1], QUBO value: 38711.030000000006, MaxCut value: -22121.159999999993\n",
      "Solution ID: 366, QUBO x: [1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 0], QUBO value: 1092.1300000000047, MaxCut value: 53116.64000000001\n",
      "Solution ID: 367, QUBO x: [1, 0, 1, 0, 0, 1, 1, 1, 0, 1, 1], QUBO value: -538.4799999999923, MaxCut value: 56377.86\n",
      "Solution ID: 368, QUBO x: [1, 0, 1, 0, 0, 1, 1, 1, 0, 0, 1], QUBO value: -17129.349999999995, MaxCut value: 89559.6\n",
      "Solution ID: 369, QUBO x: [1, 1, 0, 0, 1, 0, 1, 0, 0, 1, 0], QUBO value: -10505.92999999999, MaxCut value: 76312.76\n",
      "Solution ID: 370, QUBO x: [1, 0, 1, 0, 0, 1, 1, 1, 0, 0, 0], QUBO value: -32627.09, MaxCut value: 120555.08000000002\n",
      "Solution ID: 371, QUBO x: [1, 1, 1, 0, 0, 1, 0, 1, 0, 1, 0], QUBO value: -33181.73999999999, MaxCut value: 121664.38\n",
      "Solution ID: 372, QUBO x: [1, 0, 1, 0, 0, 1, 1, 0, 1, 1, 1], QUBO value: 38711.030000000006, MaxCut value: -22121.159999999993\n",
      "Solution ID: 373, QUBO x: [1, 1, 1, 1, 0, 1, 0, 0, 1, 1, 0], QUBO value: -49235.12999999999, MaxCut value: 153771.16\n",
      "Solution ID: 374, QUBO x: [1, 0, 1, 0, 0, 1, 1, 0, 1, 1, 0], QUBO value: 1092.1300000000047, MaxCut value: 53116.64000000001\n",
      "Solution ID: 375, QUBO x: [1, 1, 1, 0, 0, 0, 0, 1, 1, 0, 1], QUBO value: 4974.64000000001, MaxCut value: 45351.619999999995\n",
      "Solution ID: 376, QUBO x: [1, 0, 1, 0, 0, 1, 1, 0, 1, 0, 1], QUBO value: 22120.160000000003, MaxCut value: 11060.580000000009\n",
      "Solution ID: 377, QUBO x: [1, 0, 1, 0, 0, 1, 1, 0, 1, 0, 0], QUBO value: -15498.740000000002, MaxCut value: 86298.38000000002\n",
      "Solution ID: 378, QUBO x: [1, 0, 1, 0, 0, 1, 1, 0, 0, 1, 0], QUBO value: -10505.929999999997, MaxCut value: 76312.76000000001\n",
      "Solution ID: 379, QUBO x: [1, 0, 1, 0, 0, 1, 1, 0, 0, 0, 1], QUBO value: -11599.059999999994, MaxCut value: 78499.02\n",
      "Solution ID: 380, QUBO x: [1, 0, 1, 0, 0, 1, 0, 1, 1, 0, 1], QUBO value: 4974.64000000001, MaxCut value: 45351.619999999995\n",
      "Solution ID: 381, QUBO x: [1, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1], QUBO value: -11616.229999999992, MaxCut value: 78533.36\n",
      "Solution ID: 382, QUBO x: [1, 0, 1, 0, 0, 1, 0, 1, 1, 0, 0], QUBO value: -10523.099999999995, MaxCut value: 76347.1\n",
      "Solution ID: 383, QUBO x: [1, 0, 1, 0, 0, 1, 0, 1, 0, 1, 1], QUBO value: -34274.869999999995, MaxCut value: 123850.64000000001\n",
      "Solution ID: 384, QUBO x: [1, 0, 1, 0, 0, 1, 0, 1, 0, 1, 0], QUBO value: -27651.449999999993, MaxCut value: 110603.8\n",
      "Solution ID: 385, QUBO x: [1, 0, 1, 0, 0, 1, 0, 1, 0, 0, 1], QUBO value: -28744.579999999998, MaxCut value: 112790.06000000001\n",
      "Solution ID: 386, QUBO x: [1, 0, 1, 0, 0, 1, 0, 1, 0, 0, 0], QUBO value: -22121.159999999993, MaxCut value: 99543.22\n",
      "Solution ID: 387, QUBO x: [1, 0, 1, 1, 0, 1, 0, 1, 0, 0, 0], QUBO value: -33181.73999999999, MaxCut value: 121664.37999999999\n",
      "Solution ID: 388, QUBO x: [1, 0, 1, 0, 0, 1, 0, 0, 1, 1, 1], QUBO value: -17146.519999999993, MaxCut value: 89593.94\n",
      "Solution ID: 389, QUBO x: [1, 0, 1, 0, 0, 1, 0, 0, 1, 1, 0], QUBO value: -32644.26, MaxCut value: 120589.42000000001\n",
      "Solution ID: 390, QUBO x: [1, 0, 1, 0, 0, 1, 0, 0, 0, 1, 1], QUBO value: -28744.579999999998, MaxCut value: 112790.06000000001\n",
      "Solution ID: 391, QUBO x: [1, 0, 1, 0, 0, 1, 0, 0, 0, 1, 0], QUBO value: -22121.159999999993, MaxCut value: 99543.22\n",
      "Solution ID: 392, QUBO x: [1, 0, 1, 0, 0, 1, 0, 0, 0, 0, 0], QUBO value: -16590.86999999999, MaxCut value: 88482.64\n",
      "Solution ID: 393, QUBO x: [1, 0, 1, 0, 0, 0, 1, 1, 1, 1, 1], QUBO value: 60832.19, MaxCut value: -66363.48\n",
      "Solution ID: 394, QUBO x: [1, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1], QUBO value: -17683.999999999996, MaxCut value: 90668.90000000001\n",
      "Solution ID: 395, QUBO x: [1, 0, 1, 0, 0, 0, 1, 1, 1, 1, 0], QUBO value: 23213.290000000008, MaxCut value: 8874.32\n",
      "Solution ID: 396, QUBO x: [1, 0, 1, 0, 0, 0, 1, 1, 1, 0, 1], QUBO value: 44241.32000000001, MaxCut value: -33181.73999999999\n",
      "Solution ID: 397, QUBO x: [1, 0, 1, 0, 0, 0, 1, 1, 1, 0, 0], QUBO value: 6622.4200000000055, MaxCut value: 42056.060000000005\n",
      "Solution ID: 398, QUBO x: [1, 0, 1, 0, 0, 0, 1, 1, 0, 1, 0], QUBO value: -10505.929999999997, MaxCut value: 76312.76000000001\n",
      "Solution ID: 399, QUBO x: [1, 0, 1, 0, 0, 0, 1, 1, 0, 0, 1], QUBO value: -11599.059999999994, MaxCut value: 78499.02\n",
      "Solution ID: 400, QUBO x: [1, 1, 0, 1, 1, 1, 0, 0, 0, 0, 1], QUBO value: -39805.15999999999, MaxCut value: 134911.22\n",
      "Solution ID: 401, QUBO x: [1, 0, 1, 0, 0, 0, 1, 0, 1, 0, 0], QUBO value: -9968.449999999993, MaxCut value: 75237.8\n",
      "Solution ID: 402, QUBO x: [1, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1], QUBO value: -6068.769999999993, MaxCut value: 67438.44\n",
      "Solution ID: 403, QUBO x: [1, 0, 1, 0, 0, 0, 0, 1, 1, 1, 0], QUBO value: -10523.099999999995, MaxCut value: 76347.1\n",
      "Solution ID: 404, QUBO x: [1, 0, 1, 0, 0, 0, 0, 1, 1, 0, 1], QUBO value: 10504.930000000008, MaxCut value: 34291.04\n",
      "Solution ID: 405, QUBO x: [1, 1, 0, 0, 0, 1, 0, 1, 0, 0, 1], QUBO value: -23214.289999999997, MaxCut value: 101729.48000000001\n",
      "Solution ID: 406, QUBO x: [1, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0], QUBO value: -22121.159999999993, MaxCut value: 99543.22\n",
      "Solution ID: 407, QUBO x: [1, 0, 1, 1, 0, 1, 0, 1, 1, 0, 0], QUBO value: -21583.679999999997, MaxCut value: 98468.26000000001\n",
      "Solution ID: 408, QUBO x: [1, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0], QUBO value: -16590.86999999999, MaxCut value: 88482.64\n",
      "Solution ID: 409, QUBO x: [1, 0, 1, 0, 0, 0, 0, 0, 1, 1, 1], QUBO value: -11616.229999999992, MaxCut value: 78533.36\n",
      "Solution ID: 410, QUBO x: [1, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0], QUBO value: -27113.969999999998, MaxCut value: 109528.84000000001\n",
      "Solution ID: 411, QUBO x: [1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1], QUBO value: -6085.939999999991, MaxCut value: 67472.78\n",
      "Solution ID: 412, QUBO x: [1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0], QUBO value: -21583.679999999997, MaxCut value: 98468.26000000001\n",
      "Solution ID: 413, QUBO x: [1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1], QUBO value: -23214.289999999997, MaxCut value: 101729.48000000001\n",
      "Solution ID: 414, QUBO x: [1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0], QUBO value: -16590.86999999999, MaxCut value: 88482.64\n",
      "Solution ID: 415, QUBO x: [1, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1], QUBO value: 44241.32000000001, MaxCut value: -33181.74\n",
      "Solution ID: 416, QUBO x: [1, 0, 0, 1, 1, 1, 1, 1, 0, 1, 1], QUBO value: -11599.059999999994, MaxCut value: 78499.02\n",
      "Solution ID: 417, QUBO x: [1, 1, 0, 1, 0, 1, 0, 0, 0, 0, 1], QUBO value: -28744.57999999999, MaxCut value: 112790.06\n",
      "Solution ID: 418, QUBO x: [1, 0, 0, 1, 1, 1, 1, 1, 0, 1, 0], QUBO value: -27096.8, MaxCut value: 109494.50000000001\n",
      "Solution ID: 419, QUBO x: [1, 0, 0, 1, 1, 1, 1, 1, 0, 0, 0], QUBO value: -43687.67, MaxCut value: 142676.24000000002\n",
      "Solution ID: 420, QUBO x: [1, 0, 0, 1, 1, 1, 1, 0, 1, 1, 0], QUBO value: -9968.449999999993, MaxCut value: 75237.8\n",
      "Solution ID: 421, QUBO x: [1, 0, 0, 1, 1, 1, 1, 0, 1, 0, 1], QUBO value: 11059.580000000005, MaxCut value: 33181.740000000005\n",
      "Solution ID: 422, QUBO x: [1, 0, 0, 1, 1, 1, 1, 0, 0, 1, 1], QUBO value: -6068.769999999993, MaxCut value: 67438.44\n",
      "Solution ID: 423, QUBO x: [1, 0, 0, 1, 1, 1, 1, 0, 0, 1, 0], QUBO value: -21566.51, MaxCut value: 98433.92000000001\n",
      "Solution ID: 424, QUBO x: [1, 0, 0, 1, 1, 1, 1, 0, 0, 0, 1], QUBO value: -22659.639999999996, MaxCut value: 100620.18000000001\n",
      "Solution ID: 425, QUBO x: [1, 0, 0, 1, 1, 1, 1, 0, 0, 0, 0], QUBO value: -38157.37999999999, MaxCut value: 131615.66\n",
      "Solution ID: 426, QUBO x: [1, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1], QUBO value: -22659.639999999996, MaxCut value: 100620.18000000001\n",
      "Solution ID: 427, QUBO x: [0, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0], QUBO value: -22659.639999999996, MaxCut value: 100620.18000000001\n",
      "Solution ID: 428, QUBO x: [1, 0, 1, 1, 1, 0, 1, 0, 0, 0, 1], QUBO value: -28189.929999999997, MaxCut value: 111680.76000000001\n",
      "Solution ID: 429, QUBO x: [0, 1, 0, 0, 1, 1, 0, 0, 1, 0, 0], QUBO value: -6068.769999999993, MaxCut value: 67438.44\n",
      "Solution ID: 430, QUBO x: [0, 1, 0, 0, 1, 1, 0, 0, 0, 1, 0], QUBO value: 33180.740000000005, MaxCut value: -11060.579999999998\n",
      "Solution ID: 431, QUBO x: [0, 1, 0, 0, 1, 1, 0, 0, 0, 0, 1], QUBO value: 12152.710000000008, MaxCut value: 30995.48\n",
      "Solution ID: 432, QUBO x: [0, 0, 1, 0, 0, 1, 0, 0, 1, 1, 0], QUBO value: -28189.929999999997, MaxCut value: 111680.76000000001\n",
      "Solution ID: 433, QUBO x: [0, 1, 0, 0, 1, 0, 1, 1, 0, 0, 1], QUBO value: -43704.84, MaxCut value: 142710.58000000002\n",
      "Solution ID: 434, QUBO x: [1, 1, 1, 0, 1, 1, 1, 1, 0, 1, 1], QUBO value: -17129.349999999995, MaxCut value: 89559.6\n",
      "Solution ID: 435, QUBO x: [0, 1, 0, 0, 1, 0, 1, 0, 1, 1, 1], QUBO value: -33181.73999999999, MaxCut value: 121664.37999999999\n",
      "Solution ID: 436, QUBO x: [1, 1, 0, 1, 0, 0, 0, 1, 0, 0, 1], QUBO value: -28744.57999999999, MaxCut value: 112790.06\n",
      "Solution ID: 437, QUBO x: [0, 0, 0, 1, 1, 0, 1, 1, 0, 0, 1], QUBO value: -38174.54999999999, MaxCut value: 131650.0\n",
      "Solution ID: 438, QUBO x: [1, 1, 0, 0, 1, 0, 1, 0, 0, 1, 1], QUBO value: 4991.810000000009, MaxCut value: 45317.28\n",
      "Solution ID: 439, QUBO x: [0, 1, 1, 0, 1, 1, 0, 1, 0, 0, 0], QUBO value: 44241.32000000001, MaxCut value: -33181.73999999999\n",
      "Solution ID: 440, QUBO x: [0, 1, 0, 0, 1, 0, 1, 0, 0, 0, 0], QUBO value: -11616.229999999992, MaxCut value: 78533.36\n",
      "Solution ID: 441, QUBO x: [0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0], QUBO value: -17146.519999999993, MaxCut value: 89593.94\n",
      "Solution ID: 442, QUBO x: [0, 1, 1, 1, 1, 0, 1, 0, 0, 1, 0], QUBO value: 16035.220000000008, MaxCut value: 23230.46\n",
      "Solution ID: 443, QUBO x: [0, 1, 0, 0, 1, 0, 0, 1, 0, 1, 0], QUBO value: 11059.580000000005, MaxCut value: 33181.740000000005\n",
      "Solution ID: 444, QUBO x: [0, 0, 0, 1, 1, 0, 0, 1, 0, 0, 0], QUBO value: 33180.740000000005, MaxCut value: -11060.579999999998\n",
      "Solution ID: 445, QUBO x: [0, 1, 0, 1, 0, 1, 0, 1, 0, 0, 0], QUBO value: 33180.740000000005, MaxCut value: -11060.579999999998\n",
      "Solution ID: 446, QUBO x: [0, 1, 1, 1, 0, 1, 0, 1, 0, 0, 1], QUBO value: 6622.4200000000055, MaxCut value: 42056.060000000005\n",
      "Solution ID: 447, QUBO x: [1, 0, 1, 0, 0, 1, 0, 0, 1, 0, 0], QUBO value: -27113.969999999998, MaxCut value: 109528.84000000001\n",
      "Solution ID: 448, QUBO x: [0, 1, 0, 0, 1, 0, 1, 0, 1, 0, 0], QUBO value: -45335.44999999998, MaxCut value: 145971.8\n",
      "Solution ID: 449, QUBO x: [0, 1, 0, 0, 1, 0, 0, 0, 1, 1, 0], QUBO value: -28189.929999999997, MaxCut value: 111680.76000000001\n",
      "Solution ID: 450, QUBO x: [0, 1, 0, 0, 1, 0, 0, 0, 1, 0, 1], QUBO value: -27096.8, MaxCut value: 109494.50000000001\n",
      "Solution ID: 451, QUBO x: [0, 0, 0, 1, 1, 0, 1, 1, 1, 0, 1], QUBO value: -27651.449999999993, MaxCut value: 110603.8\n",
      "Solution ID: 452, QUBO x: [0, 1, 1, 0, 1, 1, 0, 0, 0, 1, 1], QUBO value: 6622.4200000000055, MaxCut value: 42056.060000000005\n",
      "Solution ID: 453, QUBO x: [1, 1, 0, 1, 1, 1, 0, 1, 0, 0, 0], QUBO value: -38712.029999999984, MaxCut value: 132724.96\n",
      "Solution ID: 454, QUBO x: [0, 1, 0, 0, 0, 1, 1, 1, 1, 0, 0], QUBO value: -45335.44999999998, MaxCut value: 145971.8\n",
      "Solution ID: 455, QUBO x: [0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1], QUBO value: -5530.28999999999, MaxCut value: 66361.48\n",
      "Solution ID: 456, QUBO x: [0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0], QUBO value: 33180.740000000005, MaxCut value: -11060.58\n",
      "Solution ID: 457, QUBO x: [0, 1, 0, 0, 0, 1, 1, 0, 1, 1, 0], QUBO value: -45335.44999999998, MaxCut value: 145971.8\n",
      "Solution ID: 458, QUBO x: [0, 1, 0, 0, 0, 1, 1, 0, 0, 1, 0], QUBO value: -11616.229999999992, MaxCut value: 78533.36\n",
      "Solution ID: 459, QUBO x: [0, 1, 0, 0, 0, 1, 1, 0, 0, 0, 0], QUBO value: -17146.519999999993, MaxCut value: 89593.94\n",
      "Solution ID: 460, QUBO x: [1, 0, 1, 0, 1, 0, 0, 0, 1, 1, 1], QUBO value: -22676.809999999994, MaxCut value: 100654.52\n",
      "Solution ID: 461, QUBO x: [0, 1, 0, 0, 1, 0, 1, 1, 1, 1, 1], QUBO value: -27651.449999999986, MaxCut value: 110603.79999999999\n",
      "Solution ID: 462, QUBO x: [0, 1, 0, 0, 0, 1, 0, 1, 0, 0, 1], QUBO value: -15498.739999999994, MaxCut value: 86298.38\n",
      "Solution ID: 463, QUBO x: [0, 1, 0, 0, 0, 1, 0, 1, 0, 0, 0], QUBO value: 22120.160000000007, MaxCut value: 11060.58\n",
      "Solution ID: 464, QUBO x: [0, 1, 0, 0, 0, 1, 0, 0, 1, 1, 1], QUBO value: -49217.95999999999, MaxCut value: 153736.82\n",
      "Solution ID: 465, QUBO x: [0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 1], QUBO value: -32627.089999999993, MaxCut value: 120555.08\n",
      "Solution ID: 466, QUBO x: [0, 0, 0, 1, 1, 1, 1, 0, 0, 0, 1], QUBO value: -16053.389999999989, MaxCut value: 87407.68\n",
      "Solution ID: 467, QUBO x: [1, 0, 1, 0, 1, 1, 0, 1, 1, 0, 1], QUBO value: -6085.939999999991, MaxCut value: 67472.78\n",
      "Solution ID: 468, QUBO x: [1, 0, 1, 0, 0, 0, 1, 0, 1, 0, 1], QUBO value: 27650.450000000004, MaxCut value: 7.275957614183426e-12\n",
      "Solution ID: 469, QUBO x: [0, 1, 1, 0, 0, 1, 0, 0, 0, 0, 0], QUBO value: 49771.61000000001, MaxCut value: -44242.32\n",
      "Solution ID: 470, QUBO x: [0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0], QUBO value: -56396.029999999984, MaxCut value: 168092.96\n",
      "Solution ID: 471, QUBO x: [0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1], QUBO value: -32627.089999999993, MaxCut value: 120555.08\n",
      "Solution ID: 472, QUBO x: [1, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1], QUBO value: -23214.289999999997, MaxCut value: 101729.48000000001\n",
      "Solution ID: 473, QUBO x: [0, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1], QUBO value: -49235.12999999999, MaxCut value: 153771.16\n",
      "Solution ID: 474, QUBO x: [0, 1, 0, 0, 0, 0, 1, 1, 0, 1, 0], QUBO value: -33737.39, MaxCut value: 122775.68000000001\n",
      "Solution ID: 475, QUBO x: [1, 1, 1, 0, 1, 0, 0, 1, 1, 0, 1], QUBO value: -6085.939999999991, MaxCut value: 67472.78\n",
      "Solution ID: 476, QUBO x: [1, 1, 0, 1, 0, 1, 0, 0, 1, 0, 0], QUBO value: -32644.25999999999, MaxCut value: 120589.42\n",
      "Solution ID: 477, QUBO x: [1, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1], QUBO value: -45335.44999999998, MaxCut value: 145971.8\n",
      "Solution ID: 478, QUBO x: [0, 1, 0, 0, 0, 0, 1, 1, 0, 0, 1], QUBO value: -54765.419999999984, MaxCut value: 164831.74\n",
      "Solution ID: 479, QUBO x: [1, 0, 1, 0, 0, 0, 1, 1, 0, 0, 0], QUBO value: -27096.8, MaxCut value: 109494.50000000001\n",
      "Solution ID: 480, QUBO x: [0, 0, 0, 1, 1, 1, 0, 1, 1, 1, 0], QUBO value: -11599.059999999994, MaxCut value: 78499.02\n",
      "Solution ID: 481, QUBO x: [1, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1], QUBO value: 44241.32000000001, MaxCut value: -33181.74\n",
      "Solution ID: 482, QUBO x: [0, 1, 1, 1, 0, 0, 1, 1, 0, 1, 1], QUBO value: -27113.969999999998, MaxCut value: 109528.84000000001\n",
      "Solution ID: 483, QUBO x: [0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 1], QUBO value: -32644.25999999999, MaxCut value: 120589.42\n",
      "Solution ID: 484, QUBO x: [0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0], QUBO value: -22676.809999999994, MaxCut value: 100654.52\n",
      "Solution ID: 485, QUBO x: [0, 0, 1, 1, 1, 0, 0, 0, 0, 1, 0], QUBO value: 44241.32000000001, MaxCut value: -33181.73999999999\n",
      "Solution ID: 486, QUBO x: [0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 0], QUBO value: -45335.44999999998, MaxCut value: 145971.8\n",
      "Solution ID: 487, QUBO x: [0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1], QUBO value: -37619.899999999994, MaxCut value: 130540.70000000001\n",
      "Solution ID: 488, QUBO x: [0, 1, 1, 0, 0, 1, 1, 1, 1, 0, 1], QUBO value: -27651.449999999993, MaxCut value: 110603.8\n",
      "Solution ID: 489, QUBO x: [1, 0, 0, 1, 1, 0, 0, 1, 0, 0, 1], QUBO value: -34274.869999999995, MaxCut value: 123850.64\n",
      "Solution ID: 490, QUBO x: [1, 1, 1, 0, 0, 1, 1, 0, 0, 1, 0], QUBO value: -16036.219999999998, MaxCut value: 87373.34000000001\n",
      "Solution ID: 491, QUBO x: [0, 1, 0, 1, 0, 1, 0, 1, 0, 0, 1], QUBO value: -4438.159999999993, MaxCut value: 64177.22\n",
      "Solution ID: 492, QUBO x: [1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1], QUBO value: -555.6499999999905, MaxCut value: 56412.2\n",
      "Solution ID: 493, QUBO x: [1, 1, 0, 0, 1, 1, 1, 0, 0, 0, 0], QUBO value: -32627.09, MaxCut value: 120555.08000000002\n",
      "Solution ID: 494, QUBO x: [0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 0], QUBO value: -17129.349999999995, MaxCut value: 89559.6\n",
      "Solution ID: 495, QUBO x: [1, 1, 1, 1, 1, 0, 0, 1, 1, 0, 1], QUBO value: -17146.519999999993, MaxCut value: 89593.94\n",
      "Solution ID: 496, QUBO x: [0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1], QUBO value: 1.0913936421275139e-11, MaxCut value: 55300.899999999994\n",
      "Solution ID: 497, QUBO x: [0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1], QUBO value: -21029.029999999995, MaxCut value: 97358.96\n",
      "Solution ID: 498, QUBO x: [1, 1, 1, 0, 0, 1, 1, 0, 1, 1, 0], QUBO value: -4438.159999999993, MaxCut value: 64177.22\n",
      "Solution ID: 499, QUBO x: [1, 1, 0, 1, 1, 1, 0, 0, 0, 1, 0], QUBO value: -38712.029999999984, MaxCut value: 132724.96\n",
      "Solution ID: 500, QUBO x: [0, 1, 0, 0, 0, 1, 1, 1, 0, 0, 0], QUBO value: -33737.39, MaxCut value: 122775.68000000001\n",
      "Solution ID: 501, QUBO x: [0, 1, 0, 0, 0, 0, 1, 1, 1, 0, 1], QUBO value: -44242.31999999998, MaxCut value: 143785.53999999998\n",
      "Solution ID: 502, QUBO x: [1, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1], QUBO value: -28744.579999999998, MaxCut value: 112790.06000000001\n",
      "Solution ID: 503, QUBO x: [0, 0, 0, 0, 0, 1, 1, 1, 1, 0, 0], QUBO value: -50865.73999999999, MaxCut value: 157032.38\n",
      "Solution ID: 504, QUBO x: [0, 0, 1, 1, 1, 1, 1, 1, 0, 0, 0], QUBO value: -6085.939999999991, MaxCut value: 67472.78\n",
      "Solution ID: 505, QUBO x: [1, 1, 0, 0, 1, 1, 0, 0, 0, 0, 0], QUBO value: -22121.159999999985, MaxCut value: 99543.21999999999\n",
      "Solution ID: 506, QUBO x: [1, 0, 0, 1, 1, 0, 1, 0, 1, 0, 0], QUBO value: -21029.029999999995, MaxCut value: 97358.96\n",
      "Solution ID: 507, QUBO x: [1, 1, 1, 1, 1, 1, 1, 0, 0, 1, 0], QUBO value: -38157.37999999999, MaxCut value: 131615.66\n",
      "Solution ID: 508, QUBO x: [1, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1], QUBO value: -50865.73999999999, MaxCut value: 157032.38\n",
      "Solution ID: 509, QUBO x: [1, 0, 1, 1, 1, 1, 1, 1, 1, 0, 1], QUBO value: 16589.87000000001, MaxCut value: 22121.16\n",
      "Solution ID: 510, QUBO x: [1, 0, 1, 1, 1, 0, 0, 1, 1, 1, 0], QUBO value: -32644.25999999999, MaxCut value: 120589.42\n",
      "Solution ID: 511, QUBO x: [0, 1, 1, 0, 1, 1, 1, 0, 0, 1, 1], QUBO value: -4992.809999999994, MaxCut value: 65286.520000000004\n",
      "Solution ID: 512, QUBO x: [1, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0], QUBO value: 554.6500000000087, MaxCut value: 54191.6\n",
      "Solution ID: 513, QUBO x: [1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 1], QUBO value: 11059.580000000009, MaxCut value: 33181.74\n",
      "Solution ID: 514, QUBO x: [0, 0, 1, 1, 1, 1, 0, 1, 1, 1, 1], QUBO value: -16036.219999999998, MaxCut value: 87373.34000000001\n",
      "Solution ID: 515, QUBO x: [1, 0, 0, 0, 1, 1, 1, 1, 0, 1, 1], QUBO value: -538.4799999999923, MaxCut value: 56377.86\n",
      "Solution ID: 516, QUBO x: [0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0], QUBO value: 38711.030000000006, MaxCut value: -22121.16\n",
      "Solution ID: 517, QUBO x: [0, 0, 1, 1, 1, 1, 0, 0, 1, 0, 1], QUBO value: -4975.639999999996, MaxCut value: 65252.18000000001\n",
      "Solution ID: 518, QUBO x: [0, 0, 1, 1, 1, 1, 0, 0, 1, 0, 0], QUBO value: 10522.10000000001, MaxCut value: 34256.7\n",
      "Solution ID: 519, QUBO x: [0, 0, 0, 1, 1, 0, 1, 0, 1, 0, 1], QUBO value: -33181.73999999999, MaxCut value: 121664.38\n",
      "Solution ID: 520, QUBO x: [0, 1, 0, 0, 0, 1, 1, 1, 1, 1, 0], QUBO value: -39805.15999999999, MaxCut value: 134911.22\n",
      "Solution ID: 521, QUBO x: [1, 1, 1, 0, 1, 1, 0, 0, 0, 1, 1], QUBO value: -45335.44999999998, MaxCut value: 145971.8\n",
      "Solution ID: 522, QUBO x: [0, 1, 0, 1, 1, 1, 1, 1, 1, 0, 1], QUBO value: -16590.86999999999, MaxCut value: 88482.64\n",
      "Solution ID: 523, QUBO x: [1, 0, 1, 1, 0, 1, 1, 0, 0, 0, 0], QUBO value: -38157.37999999999, MaxCut value: 131615.66\n",
      "Solution ID: 524, QUBO x: [0, 0, 1, 1, 1, 0, 1, 1, 1, 0, 1], QUBO value: -16590.86999999999, MaxCut value: 88482.64\n",
      "Solution ID: 525, QUBO x: [0, 1, 1, 1, 1, 0, 1, 0, 0, 0, 1], QUBO value: -4992.809999999994, MaxCut value: 65286.520000000004\n",
      "Solution ID: 526, QUBO x: [0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 1], QUBO value: -54748.249999999985, MaxCut value: 164797.4\n",
      "Solution ID: 527, QUBO x: [0, 0, 0, 1, 1, 1, 1, 1, 0, 0, 0], QUBO value: -17146.519999999993, MaxCut value: 89593.94\n",
      "Solution ID: 528, QUBO x: [0, 0, 1, 1, 1, 0, 1, 1, 1, 0, 0], QUBO value: -23214.289999999997, MaxCut value: 101729.48000000001\n",
      "Solution ID: 529, QUBO x: [1, 0, 1, 0, 1, 1, 1, 0, 1, 1, 0], QUBO value: -9968.449999999993, MaxCut value: 75237.8\n",
      "Solution ID: 530, QUBO x: [0, 1, 1, 1, 1, 0, 0, 1, 1, 0, 1], QUBO value: 554.6500000000051, MaxCut value: 54191.600000000006\n",
      "Solution ID: 531, QUBO x: [0, 0, 1, 1, 1, 0, 1, 1, 0, 1, 1], QUBO value: -21583.679999999997, MaxCut value: 98468.26000000001\n",
      "Solution ID: 532, QUBO x: [0, 1, 0, 0, 0, 1, 1, 0, 1, 0, 0], QUBO value: -50865.73999999999, MaxCut value: 157032.38\n",
      "Solution ID: 533, QUBO x: [0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0], QUBO value: -22676.809999999994, MaxCut value: 100654.52\n",
      "Solution ID: 534, QUBO x: [0, 1, 0, 1, 0, 1, 0, 0, 1, 1, 1], QUBO value: -38157.37999999999, MaxCut value: 131615.66\n",
      "Solution ID: 535, QUBO x: [1, 1, 0, 1, 1, 1, 1, 1, 0, 1, 0], QUBO value: -32627.089999999993, MaxCut value: 120555.08\n",
      "Solution ID: 536, QUBO x: [0, 1, 0, 0, 1, 0, 1, 0, 0, 1, 0], QUBO value: -6085.939999999991, MaxCut value: 67472.78\n",
      "Solution ID: 537, QUBO x: [0, 0, 1, 1, 1, 0, 1, 1, 0, 1, 0], QUBO value: -6085.939999999991, MaxCut value: 67472.78\n",
      "Solution ID: 538, QUBO x: [1, 1, 1, 1, 0, 0, 1, 1, 0, 1, 1], QUBO value: -11599.059999999994, MaxCut value: 78499.02\n",
      "Solution ID: 539, QUBO x: [1, 1, 1, 0, 1, 0, 0, 0, 1, 1, 1], QUBO value: -28207.099999999995, MaxCut value: 111715.1\n",
      "Solution ID: 540, QUBO x: [1, 0, 1, 1, 0, 0, 0, 1, 0, 0, 1], QUBO value: -34274.869999999995, MaxCut value: 123850.64\n",
      "Solution ID: 541, QUBO x: [0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 0], QUBO value: -11599.059999999994, MaxCut value: 78499.02\n",
      "Solution ID: 542, QUBO x: [0, 0, 1, 1, 1, 0, 1, 0, 1, 0, 1], QUBO value: -22121.159999999993, MaxCut value: 99543.22\n",
      "Solution ID: 543, QUBO x: [0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0], QUBO value: 5529.290000000008, MaxCut value: 44242.32\n",
      "Solution ID: 544, QUBO x: [0, 0, 1, 1, 1, 0, 1, 0, 1, 0, 0], QUBO value: -28744.579999999998, MaxCut value: 112790.06000000001\n",
      "Solution ID: 545, QUBO x: [0, 1, 0, 0, 1, 0, 1, 0, 0, 1, 1], QUBO value: -21583.679999999997, MaxCut value: 98468.26000000001\n",
      "Solution ID: 546, QUBO x: [1, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0], QUBO value: -21566.51, MaxCut value: 98433.92000000001\n",
      "Solution ID: 547, QUBO x: [0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0], QUBO value: 11059.580000000009, MaxCut value: 33181.74\n",
      "Solution ID: 548, QUBO x: [1, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0], QUBO value: 554.6500000000051, MaxCut value: 54191.600000000006\n",
      "Solution ID: 549, QUBO x: [0, 0, 1, 1, 1, 0, 0, 1, 0, 1, 1], QUBO value: -9968.449999999993, MaxCut value: 75237.8\n",
      "Solution ID: 550, QUBO x: [1, 0, 1, 1, 1, 1, 0, 0, 0, 0, 1], QUBO value: -45335.44999999998, MaxCut value: 145971.8\n",
      "Solution ID: 551, QUBO x: [0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 0], QUBO value: 10522.100000000006, MaxCut value: 34256.700000000004\n",
      "Solution ID: 552, QUBO x: [0, 0, 1, 1, 1, 0, 0, 1, 0, 0, 0], QUBO value: 44241.32000000001, MaxCut value: -33181.73999999999\n",
      "Solution ID: 553, QUBO x: [1, 0, 1, 0, 0, 0, 0, 1, 0, 1, 1], QUBO value: -28744.579999999998, MaxCut value: 112790.06000000001\n",
      "Solution ID: 554, QUBO x: [0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 1], QUBO value: -54765.419999999984, MaxCut value: 164831.74\n",
      "Solution ID: 555, QUBO x: [1, 1, 1, 1, 0, 0, 1, 1, 1, 1, 0], QUBO value: 6622.420000000009, MaxCut value: 42056.06\n",
      "Solution ID: 556, QUBO x: [0, 0, 1, 1, 1, 0, 0, 0, 1, 0, 0], QUBO value: 4991.810000000009, MaxCut value: 45317.28\n",
      "Solution ID: 557, QUBO x: [0, 0, 1, 1, 1, 0, 0, 0, 0, 0, 0], QUBO value: 60832.19, MaxCut value: -66363.48\n",
      "Solution ID: 558, QUBO x: [1, 1, 0, 0, 0, 1, 0, 1, 0, 0, 0], QUBO value: -16590.86999999999, MaxCut value: 88482.64\n",
      "Solution ID: 559, QUBO x: [0, 1, 0, 1, 0, 1, 0, 0, 0, 0, 0], QUBO value: 49771.61000000001, MaxCut value: -44242.32\n",
      "Solution ID: 560, QUBO x: [1, 0, 1, 0, 1, 1, 0, 0, 0, 0, 0], QUBO value: -27651.449999999986, MaxCut value: 110603.79999999999\n",
      "Solution ID: 561, QUBO x: [0, 0, 1, 1, 0, 1, 1, 1, 0, 0, 0], QUBO value: -17146.519999999993, MaxCut value: 89593.94\n",
      "Solution ID: 562, QUBO x: [1, 1, 0, 0, 1, 1, 0, 0, 1, 0, 0], QUBO value: -32644.25999999999, MaxCut value: 120589.42\n",
      "Solution ID: 563, QUBO x: [1, 0, 0, 1, 1, 1, 0, 1, 1, 1, 1], QUBO value: -11616.229999999992, MaxCut value: 78533.36\n",
      "Solution ID: 564, QUBO x: [0, 1, 1, 1, 1, 0, 0, 0, 1, 0, 0], QUBO value: 10522.10000000001, MaxCut value: 34256.7\n",
      "Solution ID: 565, QUBO x: [1, 0, 1, 1, 1, 1, 0, 1, 0, 1, 0], QUBO value: -49772.609999999986, MaxCut value: 154846.12\n",
      "Solution ID: 566, QUBO x: [1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0], QUBO value: 17683.000000000007, MaxCut value: 19934.899999999998\n",
      "Solution ID: 567, QUBO x: [0, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0], QUBO value: -28744.57999999999, MaxCut value: 112790.06\n",
      "Solution ID: 568, QUBO x: [0, 0, 1, 1, 0, 0, 1, 0, 0, 0, 0], QUBO value: -6085.939999999991, MaxCut value: 67472.78\n",
      "Solution ID: 569, QUBO x: [0, 1, 0, 1, 1, 0, 0, 0, 0, 0, 1], QUBO value: 17683.000000000007, MaxCut value: 19934.900000000005\n",
      "Solution ID: 570, QUBO x: [0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1], QUBO value: -27651.449999999993, MaxCut value: 110603.8\n",
      "Solution ID: 571, QUBO x: [0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 0], QUBO value: -34274.869999999995, MaxCut value: 123850.64\n",
      "Solution ID: 572, QUBO x: [1, 1, 1, 0, 0, 1, 0, 0, 1, 0, 0], QUBO value: -32644.25999999999, MaxCut value: 120589.42\n",
      "Solution ID: 573, QUBO x: [0, 1, 1, 0, 0, 0, 1, 0, 0, 1, 1], QUBO value: -21583.679999999997, MaxCut value: 98468.26000000001\n",
      "Solution ID: 574, QUBO x: [0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1], QUBO value: -27096.799999999992, MaxCut value: 109494.5\n",
      "Solution ID: 575, QUBO x: [0, 0, 1, 1, 0, 1, 0, 1, 0, 0, 0], QUBO value: 38711.030000000006, MaxCut value: -22121.16\n",
      "Solution ID: 576, QUBO x: [0, 1, 1, 0, 1, 0, 1, 0, 1, 1, 1], QUBO value: -22121.159999999993, MaxCut value: 99543.22\n",
      "Solution ID: 577, QUBO x: [0, 1, 0, 0, 1, 1, 0, 0, 0, 1, 1], QUBO value: -4438.159999999993, MaxCut value: 64177.22\n",
      "Solution ID: 578, QUBO x: [1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0], QUBO value: -5530.28999999999, MaxCut value: 66361.48\n",
      "Solution ID: 579, QUBO x: [0, 1, 1, 0, 0, 1, 1, 0, 1, 0, 1], QUBO value: -33181.73999999999, MaxCut value: 121664.38\n",
      "Solution ID: 580, QUBO x: [0, 1, 0, 0, 1, 0, 1, 1, 1, 0, 0], QUBO value: -39805.15999999999, MaxCut value: 134911.22\n",
      "Solution ID: 581, QUBO x: [0, 0, 1, 1, 0, 1, 0, 0, 1, 0, 1], QUBO value: -16036.21999999999, MaxCut value: 87373.34\n",
      "Solution ID: 582, QUBO x: [1, 1, 0, 1, 1, 0, 0, 0, 1, 1, 1], QUBO value: -28207.099999999995, MaxCut value: 111715.1\n",
      "Solution ID: 583, QUBO x: [0, 1, 0, 0, 0, 1, 1, 1, 1, 0, 1], QUBO value: -38712.029999999984, MaxCut value: 132724.96\n",
      "Solution ID: 584, QUBO x: [0, 0, 1, 1, 0, 0, 1, 0, 0, 1, 1], QUBO value: -16053.389999999989, MaxCut value: 87407.68\n",
      "Solution ID: 585, QUBO x: [0, 0, 1, 0, 1, 0, 0, 1, 0, 1, 1], QUBO value: -21029.029999999995, MaxCut value: 97358.96\n",
      "Solution ID: 586, QUBO x: [0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 1], QUBO value: -49772.609999999986, MaxCut value: 154846.12\n",
      "Solution ID: 587, QUBO x: [1, 1, 1, 1, 1, 0, 0, 0, 1, 0, 1], QUBO value: -33737.39, MaxCut value: 122775.68000000001\n",
      "Solution ID: 588, QUBO x: [1, 0, 0, 1, 1, 1, 0, 0, 1, 1, 1], QUBO value: -28207.099999999995, MaxCut value: 111715.1\n",
      "Solution ID: 589, QUBO x: [0, 0, 1, 1, 0, 1, 0, 0, 1, 0, 0], QUBO value: -538.4799999999923, MaxCut value: 56377.86\n",
      "Solution ID: 590, QUBO x: [0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1], QUBO value: -60278.53999999999, MaxCut value: 175857.98\n",
      "Solution ID: 591, QUBO x: [0, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0], QUBO value: 27650.450000000004, MaxCut value: 3.637978807091713e-12\n",
      "Solution ID: 592, QUBO x: [0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 0], QUBO value: -17129.349999999995, MaxCut value: 89559.6\n",
      "Solution ID: 593, QUBO x: [1, 0, 0, 0, 1, 1, 0, 0, 1, 1, 0], QUBO value: -32644.26, MaxCut value: 120589.42000000001\n",
      "Solution ID: 594, QUBO x: [0, 1, 1, 1, 0, 1, 1, 0, 1, 0, 0], QUBO value: -28744.579999999998, MaxCut value: 112790.06000000001\n",
      "Solution ID: 595, QUBO x: [1, 0, 0, 1, 0, 0, 1, 0, 1, 0, 1], QUBO value: 27650.450000000004, MaxCut value: 7.275957614183426e-12\n",
      "Solution ID: 596, QUBO x: [0, 0, 1, 1, 0, 1, 0, 0, 0, 1, 0], QUBO value: 38711.030000000006, MaxCut value: -22121.16\n",
      "Solution ID: 597, QUBO x: [0, 0, 1, 1, 0, 1, 1, 1, 0, 1, 0], QUBO value: -11616.229999999992, MaxCut value: 78533.36\n",
      "Solution ID: 598, QUBO x: [0, 1, 1, 0, 0, 1, 1, 0, 0, 0, 1], QUBO value: -21583.67999999999, MaxCut value: 98468.26\n",
      "Solution ID: 599, QUBO x: [0, 0, 1, 0, 1, 1, 0, 0, 1, 0, 1], QUBO value: -16036.21999999999, MaxCut value: 87373.34\n",
      "Solution ID: 600, QUBO x: [1, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1], QUBO value: -23214.28999999999, MaxCut value: 101729.48\n",
      "Solution ID: 601, QUBO x: [0, 0, 1, 1, 0, 1, 0, 0, 0, 1, 1], QUBO value: 1092.1300000000083, MaxCut value: 53116.64\n",
      "Solution ID: 602, QUBO x: [0, 1, 1, 1, 0, 0, 1, 0, 0, 1, 0], QUBO value: 4974.64000000001, MaxCut value: 45351.619999999995\n",
      "Solution ID: 603, QUBO x: [0, 1, 0, 1, 0, 0, 0, 1, 0, 0, 1], QUBO value: -9968.449999999993, MaxCut value: 75237.8\n",
      "Solution ID: 604, QUBO x: [0, 0, 1, 1, 0, 0, 1, 1, 0, 1, 0], QUBO value: -17146.519999999993, MaxCut value: 89593.94\n",
      "Solution ID: 605, QUBO x: [0, 0, 1, 1, 0, 0, 1, 0, 1, 1, 0], QUBO value: -34274.869999999995, MaxCut value: 123850.64\n",
      "Solution ID: 606, QUBO x: [0, 1, 0, 1, 0, 0, 0, 1, 1, 0, 1], QUBO value: -21566.51, MaxCut value: 98433.92000000001\n",
      "Solution ID: 607, QUBO x: [0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1], QUBO value: -27096.8, MaxCut value: 109494.50000000001\n",
      "Solution ID: 608, QUBO x: [1, 1, 1, 0, 1, 1, 0, 0, 1, 1, 0], QUBO value: -49235.12999999999, MaxCut value: 153771.16\n",
      "Solution ID: 609, QUBO x: [0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1], QUBO value: -22121.159999999985, MaxCut value: 99543.21999999999\n",
      "Solution ID: 610, QUBO x: [1, 1, 0, 1, 1, 1, 0, 1, 0, 1, 1], QUBO value: -50865.73999999999, MaxCut value: 157032.38\n",
      "Solution ID: 611, QUBO x: [1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1], QUBO value: -23214.289999999997, MaxCut value: 101729.48000000001\n",
      "Solution ID: 612, QUBO x: [1, 0, 0, 1, 1, 1, 0, 0, 0, 0, 0], QUBO value: -27651.449999999986, MaxCut value: 110603.79999999999\n",
      "Solution ID: 613, QUBO x: [0, 0, 1, 1, 0, 0, 1, 0, 0, 0, 1], QUBO value: -21583.67999999999, MaxCut value: 98468.26\n",
      "Solution ID: 614, QUBO x: [0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 0], QUBO value: -17129.349999999995, MaxCut value: 89559.6\n",
      "Solution ID: 615, QUBO x: [0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0], QUBO value: -44780.79999999999, MaxCut value: 144862.5\n",
      "Solution ID: 616, QUBO x: [1, 1, 1, 0, 0, 0, 0, 1, 1, 1, 1], QUBO value: -555.6499999999905, MaxCut value: 56412.2\n",
      "Solution ID: 617, QUBO x: [0, 0, 1, 1, 0, 0, 0, 1, 0, 1, 1], QUBO value: -21029.029999999995, MaxCut value: 97358.96\n",
      "Solution ID: 618, QUBO x: [0, 0, 1, 1, 0, 0, 0, 1, 0, 1, 0], QUBO value: 16589.870000000006, MaxCut value: 22121.160000000003\n",
      "Solution ID: 619, QUBO x: [0, 0, 1, 1, 0, 0, 0, 0, 0, 1, 1], QUBO value: -4438.159999999993, MaxCut value: 64177.22\n",
      "Solution ID: 620, QUBO x: [0, 1, 1, 1, 0, 1, 1, 1, 1, 0, 0], QUBO value: -23214.289999999997, MaxCut value: 101729.48000000001\n",
      "Solution ID: 621, QUBO x: [1, 0, 1, 1, 0, 0, 0, 1, 1, 0, 0], QUBO value: -16053.389999999989, MaxCut value: 87407.68\n",
      "Solution ID: 622, QUBO x: [0, 0, 1, 1, 0, 0, 0, 0, 0, 0, 1], QUBO value: 12152.710000000008, MaxCut value: 30995.48\n",
      "Solution ID: 623, QUBO x: [0, 0, 1, 0, 1, 1, 1, 1, 1, 1, 1], QUBO value: -16590.86999999999, MaxCut value: 88482.64\n",
      "Solution ID: 624, QUBO x: [0, 0, 0, 1, 1, 1, 0, 0, 0, 1, 1], QUBO value: 1092.1300000000083, MaxCut value: 53116.64\n",
      "Solution ID: 625, QUBO x: [1, 0, 1, 1, 1, 1, 1, 0, 0, 0, 1], QUBO value: -33720.22, MaxCut value: 122741.34000000001\n",
      "Solution ID: 626, QUBO x: [0, 1, 1, 0, 0, 1, 1, 1, 0, 1, 0], QUBO value: -17146.519999999993, MaxCut value: 89593.94\n",
      "Solution ID: 627, QUBO x: [0, 1, 1, 1, 1, 1, 1, 1, 1, 0, 1], QUBO value: -5530.28999999999, MaxCut value: 66361.48\n",
      "Solution ID: 628, QUBO x: [1, 1, 1, 0, 0, 0, 1, 0, 1, 0, 0], QUBO value: -15498.739999999994, MaxCut value: 86298.38\n",
      "Solution ID: 629, QUBO x: [0, 0, 1, 0, 1, 1, 1, 1, 1, 1, 0], QUBO value: -23214.28999999999, MaxCut value: 101729.48\n",
      "Solution ID: 630, QUBO x: [0, 0, 1, 0, 1, 1, 1, 1, 0, 1, 1], QUBO value: -27113.96999999999, MaxCut value: 109528.84\n",
      "Solution ID: 631, QUBO x: [1, 0, 0, 0, 1, 1, 0, 0, 1, 0, 1], QUBO value: -11616.229999999992, MaxCut value: 78533.36\n",
      "Solution ID: 632, QUBO x: [1, 1, 1, 0, 0, 1, 1, 0, 0, 0, 0], QUBO value: -32627.09, MaxCut value: 120555.08000000002\n",
      "Solution ID: 633, QUBO x: [1, 0, 1, 1, 1, 0, 1, 0, 1, 0, 0], QUBO value: -32089.609999999997, MaxCut value: 119480.12000000001\n",
      "Solution ID: 634, QUBO x: [0, 1, 0, 0, 1, 0, 1, 1, 0, 0, 0], QUBO value: -28207.099999999995, MaxCut value: 111715.1\n",
      "Solution ID: 635, QUBO x: [0, 0, 1, 0, 0, 1, 1, 1, 0, 0, 0], QUBO value: -28207.099999999995, MaxCut value: 111715.1\n",
      "Solution ID: 636, QUBO x: [0, 0, 1, 0, 1, 1, 1, 0, 1, 0, 1], QUBO value: -27651.449999999993, MaxCut value: 110603.8\n",
      "Solution ID: 637, QUBO x: [0, 0, 1, 1, 1, 1, 1, 1, 0, 1, 0], QUBO value: -555.6499999999905, MaxCut value: 56412.2\n",
      "Solution ID: 638, QUBO x: [1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1], QUBO value: -17683.999999999996, MaxCut value: 90668.90000000001\n",
      "Solution ID: 639, QUBO x: [0, 0, 1, 0, 1, 1, 0, 1, 1, 1, 1], QUBO value: -27096.799999999992, MaxCut value: 109494.5\n",
      "Solution ID: 640, QUBO x: [0, 1, 1, 0, 1, 0, 0, 1, 0, 1, 1], QUBO value: -15498.740000000002, MaxCut value: 86298.38000000002\n",
      "Solution ID: 641, QUBO x: [0, 0, 1, 0, 1, 1, 0, 1, 1, 1, 0], QUBO value: -11599.059999999994, MaxCut value: 78499.02\n",
      "Solution ID: 642, QUBO x: [1, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0], QUBO value: -9968.449999999993, MaxCut value: 75237.8\n",
      "Solution ID: 643, QUBO x: [0, 0, 1, 0, 1, 1, 0, 1, 1, 0, 0], QUBO value: 4991.810000000009, MaxCut value: 45317.28\n",
      "Solution ID: 644, QUBO x: [1, 1, 0, 1, 0, 0, 0, 1, 0, 0, 0], QUBO value: -22121.159999999993, MaxCut value: 99543.22\n",
      "Solution ID: 645, QUBO x: [0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1], QUBO value: -15498.739999999994, MaxCut value: 86298.38\n",
      "Solution ID: 646, QUBO x: [1, 0, 1, 1, 0, 1, 0, 0, 0, 1, 0], QUBO value: -33181.73999999999, MaxCut value: 121664.37999999999\n",
      "Solution ID: 647, QUBO x: [0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1], QUBO value: -32644.25999999999, MaxCut value: 120589.42\n",
      "Solution ID: 648, QUBO x: [0, 0, 1, 0, 0, 1, 0, 0, 0, 0, 0], QUBO value: 44241.32000000001, MaxCut value: -33181.74\n",
      "Solution ID: 649, QUBO x: [0, 0, 1, 0, 1, 1, 0, 1, 0, 0, 1], QUBO value: 1092.1300000000083, MaxCut value: 53116.64\n",
      "Solution ID: 650, QUBO x: [0, 1, 0, 1, 0, 1, 0, 1, 1, 0, 1], QUBO value: -16036.219999999998, MaxCut value: 87373.34000000001\n",
      "Solution ID: 651, QUBO x: [0, 0, 1, 0, 1, 1, 0, 0, 0, 1, 0], QUBO value: 38711.030000000006, MaxCut value: -22121.16\n",
      "Solution ID: 652, QUBO x: [1, 1, 0, 1, 1, 1, 0, 0, 1, 1, 0], QUBO value: -49235.12999999999, MaxCut value: 153771.16\n",
      "Solution ID: 653, QUBO x: [0, 1, 0, 0, 0, 0, 1, 0, 1, 1, 0], QUBO value: -50865.73999999999, MaxCut value: 157032.38\n",
      "Solution ID: 654, QUBO x: [0, 0, 1, 0, 1, 1, 0, 0, 0, 0, 1], QUBO value: 17683.000000000007, MaxCut value: 19934.899999999998\n",
      "Solution ID: 655, QUBO x: [0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1], QUBO value: -38157.37999999999, MaxCut value: 131615.66\n",
      "Solution ID: 656, QUBO x: [1, 0, 0, 0, 0, 0, 1, 1, 1, 1, 0], QUBO value: 34273.87000000001, MaxCut value: -13246.84\n",
      "Solution ID: 657, QUBO x: [0, 1, 1, 0, 0, 1, 0, 1, 1, 1, 0], QUBO value: -17129.349999999995, MaxCut value: 89559.6\n",
      "Solution ID: 658, QUBO x: [1, 1, 1, 1, 0, 1, 0, 0, 1, 0, 0], QUBO value: -43704.83999999998, MaxCut value: 142710.58\n",
      "Solution ID: 659, QUBO x: [0, 0, 0, 1, 1, 1, 0, 0, 0, 0, 1], QUBO value: 17683.000000000007, MaxCut value: 19934.899999999998\n",
      "Solution ID: 660, QUBO x: [0, 1, 0, 0, 0, 1, 0, 0, 1, 1, 0], QUBO value: -33720.22, MaxCut value: 122741.34000000001\n",
      "Solution ID: 661, QUBO x: [0, 0, 1, 0, 1, 0, 1, 1, 1, 1, 1], QUBO value: -22121.159999999985, MaxCut value: 99543.21999999999\n",
      "Solution ID: 662, QUBO x: [1, 0, 0, 1, 0, 0, 1, 1, 1, 0, 0], QUBO value: 6622.4200000000055, MaxCut value: 42056.060000000005\n",
      "Solution ID: 663, QUBO x: [0, 0, 1, 0, 1, 1, 0, 1, 0, 0, 0], QUBO value: 38711.030000000006, MaxCut value: -22121.16\n",
      "Solution ID: 664, QUBO x: [0, 1, 1, 1, 1, 0, 0, 0, 0, 1, 0], QUBO value: 49771.61, MaxCut value: -44242.31999999999\n",
      "Solution ID: 665, QUBO x: [0, 0, 1, 0, 1, 0, 1, 1, 0, 0, 1], QUBO value: -38174.54999999999, MaxCut value: 131650.0\n",
      "Solution ID: 666, QUBO x: [1, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0], QUBO value: 554.6500000000051, MaxCut value: 54191.600000000006\n",
      "Solution ID: 667, QUBO x: [0, 0, 1, 0, 1, 0, 1, 0, 1, 1, 0], QUBO value: -34274.869999999995, MaxCut value: 123850.64\n",
      "Solution ID: 668, QUBO x: [0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1], QUBO value: -21029.029999999995, MaxCut value: 97358.96\n",
      "Solution ID: 669, QUBO x: [0, 0, 1, 0, 1, 0, 1, 0, 1, 0, 0], QUBO value: -39805.15999999999, MaxCut value: 134911.22\n",
      "Solution ID: 670, QUBO x: [1, 1, 0, 1, 1, 1, 1, 1, 1, 1, 0], QUBO value: 1092.1300000000083, MaxCut value: 53116.64\n",
      "Solution ID: 671, QUBO x: [1, 1, 0, 1, 1, 1, 1, 0, 1, 1, 0], QUBO value: -15498.739999999994, MaxCut value: 86298.38\n",
      "Solution ID: 672, QUBO x: [0, 1, 0, 1, 1, 1, 1, 0, 0, 0, 1], QUBO value: -10523.099999999995, MaxCut value: 76347.1\n",
      "Solution ID: 673, QUBO x: [1, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1], QUBO value: -28744.579999999998, MaxCut value: 112790.06000000001\n",
      "Solution ID: 674, QUBO x: [0, 0, 1, 0, 1, 0, 1, 0, 0, 0, 1], QUBO value: -21583.67999999999, MaxCut value: 98468.26\n",
      "Solution ID: 675, QUBO x: [1, 1, 0, 1, 1, 1, 0, 0, 1, 0, 0], QUBO value: -43704.83999999998, MaxCut value: 142710.58\n",
      "Solution ID: 676, QUBO x: [0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0], QUBO value: -17146.519999999993, MaxCut value: 89593.94\n",
      "Solution ID: 677, QUBO x: [1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0], QUBO value: -5530.28999999999, MaxCut value: 66361.48\n",
      "Solution ID: 678, QUBO x: [0, 0, 1, 0, 1, 0, 1, 0, 0, 0, 0], QUBO value: -6085.939999999991, MaxCut value: 67472.78\n",
      "Solution ID: 679, QUBO x: [0, 1, 0, 1, 1, 0, 0, 1, 0, 1, 0], QUBO value: 22120.160000000003, MaxCut value: 11060.580000000009\n",
      "Solution ID: 680, QUBO x: [0, 0, 0, 1, 1, 1, 0, 1, 0, 0, 0], QUBO value: 38711.030000000006, MaxCut value: -22121.16\n",
      "Solution ID: 681, QUBO x: [1, 0, 0, 1, 0, 1, 0, 1, 1, 0, 1], QUBO value: 4974.64000000001, MaxCut value: 45351.619999999995\n",
      "Solution ID: 682, QUBO x: [0, 1, 0, 0, 0, 1, 1, 0, 0, 1, 1], QUBO value: -27113.96999999999, MaxCut value: 109528.84\n",
      "Solution ID: 683, QUBO x: [1, 1, 0, 1, 1, 0, 0, 0, 1, 0, 1], QUBO value: -22676.809999999994, MaxCut value: 100654.52\n",
      "Solution ID: 684, QUBO x: [0, 0, 1, 0, 1, 0, 0, 1, 1, 0, 1], QUBO value: -16036.219999999998, MaxCut value: 87373.34000000001\n",
      "Solution ID: 685, QUBO x: [0, 0, 1, 0, 1, 0, 1, 1, 0, 0, 0], QUBO value: -22676.809999999994, MaxCut value: 100654.52\n",
      "Solution ID: 686, QUBO x: [0, 1, 1, 0, 0, 1, 0, 0, 1, 1, 0], QUBO value: -22659.639999999996, MaxCut value: 100620.18000000001\n",
      "Solution ID: 687, QUBO x: [1, 1, 0, 0, 1, 0, 0, 0, 1, 0, 0], QUBO value: -27113.96999999999, MaxCut value: 109528.84\n",
      "Solution ID: 688, QUBO x: [1, 0, 0, 1, 0, 0, 1, 1, 1, 1, 1], QUBO value: 60832.19, MaxCut value: -66363.48\n",
      "Solution ID: 689, QUBO x: [0, 0, 1, 1, 1, 1, 0, 1, 0, 0, 1], QUBO value: 12152.710000000008, MaxCut value: 30995.48\n",
      "Solution ID: 690, QUBO x: [0, 0, 1, 0, 1, 1, 0, 0, 0, 0, 0], QUBO value: 55301.90000000001, MaxCut value: -55302.9\n",
      "Solution ID: 691, QUBO x: [0, 1, 0, 1, 1, 0, 1, 0, 0, 1, 1], QUBO value: -10523.099999999995, MaxCut value: 76347.1\n",
      "Solution ID: 692, QUBO x: [1, 0, 0, 1, 0, 0, 0, 1, 1, 1, 1], QUBO value: 4974.64000000001, MaxCut value: 45351.619999999995\n",
      "Solution ID: 693, QUBO x: [0, 0, 1, 1, 1, 1, 1, 0, 1, 1, 0], QUBO value: -17683.999999999996, MaxCut value: 90668.90000000001\n",
      "Solution ID: 694, QUBO x: [0, 1, 1, 1, 0, 1, 1, 0, 0, 0, 1], QUBO value: -10523.099999999995, MaxCut value: 76347.1\n",
      "Solution ID: 695, QUBO x: [1, 1, 1, 1, 1, 1, 0, 0, 1, 1, 0], QUBO value: -60295.70999999999, MaxCut value: 175892.32\n",
      "Solution ID: 696, QUBO x: [0, 0, 1, 0, 1, 0, 0, 0, 0, 1, 0], QUBO value: 33180.740000000005, MaxCut value: -11060.579999999998\n",
      "Solution ID: 697, QUBO x: [0, 1, 0, 1, 0, 1, 0, 0, 1, 0, 1], QUBO value: -21566.50999999999, MaxCut value: 98433.92\n",
      "Solution ID: 698, QUBO x: [1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1], QUBO value: 4974.64000000001, MaxCut value: 45351.619999999995\n",
      "Solution ID: 699, QUBO x: [1, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0], QUBO value: -4975.639999999996, MaxCut value: 65252.18000000001\n",
      "Solution ID: 700, QUBO x: [0, 0, 1, 0, 0, 1, 1, 1, 1, 1, 0], QUBO value: -34274.869999999995, MaxCut value: 123850.64\n",
      "Solution ID: 701, QUBO x: [0, 0, 1, 1, 0, 1, 1, 0, 0, 1, 1], QUBO value: -10523.099999999988, MaxCut value: 76347.09999999999\n",
      "Solution ID: 702, QUBO x: [1, 0, 1, 0, 0, 1, 0, 1, 1, 1, 1], QUBO value: -555.6499999999905, MaxCut value: 56412.2\n",
      "Solution ID: 703, QUBO x: [0, 1, 1, 0, 1, 1, 1, 1, 1, 1, 0], QUBO value: -17683.999999999996, MaxCut value: 90668.90000000001\n",
      "Solution ID: 704, QUBO x: [1, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1], QUBO value: 49771.61000000001, MaxCut value: -44242.32\n",
      "Solution ID: 705, QUBO x: [0, 1, 1, 1, 1, 0, 0, 0, 1, 1, 0], QUBO value: -6068.769999999993, MaxCut value: 67438.44\n",
      "Solution ID: 706, QUBO x: [0, 1, 1, 1, 1, 1, 0, 0, 1, 1, 0], QUBO value: -538.4799999999923, MaxCut value: 56377.86\n",
      "Solution ID: 707, QUBO x: [1, 0, 1, 0, 1, 0, 1, 0, 1, 0, 1], QUBO value: 16589.870000000006, MaxCut value: 22121.160000000003\n",
      "Solution ID: 708, QUBO x: [0, 1, 0, 0, 1, 1, 0, 1, 0, 0, 0], QUBO value: 33180.740000000005, MaxCut value: -11060.579999999998\n",
      "Solution ID: 709, QUBO x: [1, 0, 1, 1, 1, 1, 0, 0, 1, 0, 0], QUBO value: -49235.12999999999, MaxCut value: 153771.16\n",
      "Solution ID: 710, QUBO x: [0, 0, 1, 0, 0, 1, 1, 1, 1, 0, 0], QUBO value: -39805.15999999999, MaxCut value: 134911.22\n",
      "Solution ID: 711, QUBO x: [0, 0, 0, 1, 1, 0, 1, 0, 0, 0, 1], QUBO value: -21583.67999999999, MaxCut value: 98468.26\n",
      "Solution ID: 712, QUBO x: [1, 1, 1, 0, 1, 0, 0, 0, 0, 0, 1], QUBO value: -34274.869999999995, MaxCut value: 123850.64\n",
      "Solution ID: 713, QUBO x: [1, 1, 0, 1, 1, 1, 1, 0, 1, 1, 1], QUBO value: 22120.160000000007, MaxCut value: 11060.58\n",
      "Solution ID: 714, QUBO x: [0, 0, 1, 1, 1, 1, 1, 0, 1, 0, 1], QUBO value: -16590.86999999999, MaxCut value: 88482.64\n",
      "Solution ID: 715, QUBO x: [1, 1, 1, 0, 1, 0, 1, 1, 0, 1, 0], QUBO value: -27096.8, MaxCut value: 109494.50000000001\n",
      "Solution ID: 716, QUBO x: [0, 0, 0, 1, 0, 1, 1, 0, 1, 1, 1], QUBO value: -33181.73999999999, MaxCut value: 121664.37999999999\n",
      "Solution ID: 717, QUBO x: [0, 0, 1, 0, 0, 1, 1, 0, 0, 1, 0], QUBO value: -6085.939999999991, MaxCut value: 67472.78\n",
      "Solution ID: 718, QUBO x: [1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1], QUBO value: -17683.999999999996, MaxCut value: 90668.90000000001\n",
      "Solution ID: 719, QUBO x: [0, 0, 1, 0, 1, 0, 1, 0, 1, 1, 1], QUBO value: -27651.449999999993, MaxCut value: 110603.8\n",
      "Solution ID: 720, QUBO x: [0, 0, 1, 0, 0, 1, 1, 0, 0, 0, 0], QUBO value: -11616.229999999992, MaxCut value: 78533.36\n",
      "Solution ID: 721, QUBO x: [0, 1, 1, 0, 1, 0, 1, 0, 1, 0, 0], QUBO value: -34274.869999999995, MaxCut value: 123850.64000000001\n",
      "Solution ID: 722, QUBO x: [1, 0, 0, 1, 0, 1, 1, 1, 0, 0, 1], QUBO value: -17129.349999999995, MaxCut value: 89559.6\n",
      "Solution ID: 723, QUBO x: [0, 0, 1, 0, 0, 1, 0, 1, 1, 0, 1], QUBO value: -21566.51, MaxCut value: 98433.92000000001\n",
      "Solution ID: 724, QUBO x: [1, 0, 1, 1, 0, 0, 1, 0, 0, 1, 1], QUBO value: -538.4799999999923, MaxCut value: 56377.86\n",
      "Solution ID: 725, QUBO x: [1, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1], QUBO value: 16035.220000000008, MaxCut value: 23230.46\n",
      "Solution ID: 726, QUBO x: [1, 0, 1, 0, 0, 0, 0, 1, 1, 0, 0], QUBO value: -4992.809999999994, MaxCut value: 65286.520000000004\n",
      "Solution ID: 727, QUBO x: [0, 0, 1, 0, 0, 1, 0, 1, 0, 1, 0], QUBO value: 11059.580000000005, MaxCut value: 33181.740000000005\n",
      "Solution ID: 728, QUBO x: [0, 0, 1, 0, 0, 1, 0, 0, 1, 1, 1], QUBO value: -43687.67, MaxCut value: 142676.24000000002\n",
      "Solution ID: 729, QUBO x: [0, 0, 0, 0, 0, 1, 0, 1, 1, 1, 0], QUBO value: -33720.22, MaxCut value: 122741.34000000001\n",
      "Solution ID: 730, QUBO x: [0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0], QUBO value: -11599.059999999994, MaxCut value: 78499.02\n",
      "Solution ID: 731, QUBO x: [0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 1], QUBO value: -49217.95999999999, MaxCut value: 153736.82\n",
      "Solution ID: 732, QUBO x: [1, 1, 0, 0, 1, 1, 1, 0, 1, 0, 1], QUBO value: 16589.870000000006, MaxCut value: 22121.160000000003\n",
      "Solution ID: 733, QUBO x: [0, 1, 0, 0, 1, 0, 1, 0, 1, 0, 1], QUBO value: -38712.029999999984, MaxCut value: 132724.96\n",
      "Solution ID: 734, QUBO x: [0, 0, 1, 1, 1, 0, 1, 1, 1, 1, 0], QUBO value: -17683.999999999996, MaxCut value: 90668.90000000001\n",
      "Solution ID: 735, QUBO x: [0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 0], QUBO value: -34274.869999999995, MaxCut value: 123850.64\n",
      "Solution ID: 736, QUBO x: [1, 1, 1, 0, 1, 1, 0, 1, 0, 1, 0], QUBO value: -44242.31999999998, MaxCut value: 143785.53999999998\n",
      "Solution ID: 737, QUBO x: [0, 0, 1, 1, 0, 0, 0, 0, 1, 1, 0], QUBO value: -22659.639999999996, MaxCut value: 100620.18000000001\n",
      "Solution ID: 738, QUBO x: [0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 0], QUBO value: -23214.28999999999, MaxCut value: 101729.48\n",
      "Solution ID: 739, QUBO x: [0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 0], QUBO value: -34274.869999999995, MaxCut value: 123850.64\n",
      "Solution ID: 740, QUBO x: [0, 0, 1, 0, 0, 1, 1, 0, 1, 1, 1], QUBO value: -33181.73999999999, MaxCut value: 121664.37999999999\n",
      "Solution ID: 741, QUBO x: [0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 1], QUBO value: -54748.249999999985, MaxCut value: 164797.4\n",
      "Solution ID: 742, QUBO x: [1, 1, 0, 1, 0, 0, 1, 1, 0, 1, 0], QUBO value: -16036.21999999999, MaxCut value: 87373.34\n",
      "Solution ID: 743, QUBO x: [0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0], QUBO value: -39250.509999999995, MaxCut value: 133801.92\n",
      "Solution ID: 744, QUBO x: [0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0], QUBO value: 22120.160000000007, MaxCut value: 11060.58\n",
      "Solution ID: 745, QUBO x: [1, 0, 1, 1, 0, 1, 1, 1, 1, 0, 0], QUBO value: -9968.449999999993, MaxCut value: 75237.8\n",
      "Solution ID: 746, QUBO x: [0, 0, 0, 1, 1, 1, 1, 0, 1, 1, 0], QUBO value: -28744.57999999999, MaxCut value: 112790.06\n",
      "Solution ID: 747, QUBO x: [0, 0, 1, 1, 1, 0, 1, 0, 0, 1, 1], QUBO value: -4992.809999999994, MaxCut value: 65286.520000000004\n",
      "Solution ID: 748, QUBO x: [0, 0, 1, 1, 1, 1, 0, 0, 0, 0, 0], QUBO value: 66362.48000000001, MaxCut value: -77424.06\n",
      "Solution ID: 749, QUBO x: [0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 0], QUBO value: -28744.57999999999, MaxCut value: 112790.06\n",
      "Solution ID: 750, QUBO x: [0, 0, 1, 0, 0, 1, 1, 0, 0, 1, 1], QUBO value: -21583.679999999997, MaxCut value: 98468.26000000001\n",
      "Solution ID: 751, QUBO x: [1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], QUBO value: 1.0913936421275139e-11, MaxCut value: 55300.899999999994\n",
      "Solution ID: 752, QUBO x: [0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0], QUBO value: -39250.509999999995, MaxCut value: 133801.92\n",
      "Solution ID: 753, QUBO x: [0, 1, 0, 1, 1, 1, 0, 1, 0, 0, 0], QUBO value: 44241.32000000001, MaxCut value: -33181.73999999999\n",
      "Solution ID: 754, QUBO x: [0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 0], QUBO value: -11599.059999999994, MaxCut value: 78499.02\n",
      "Solution ID: 755, QUBO x: [1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 1], QUBO value: 49771.61, MaxCut value: -44242.31999999999\n",
      "Solution ID: 756, QUBO x: [1, 0, 0, 0, 0, 1, 1, 1, 0, 1, 0], QUBO value: -4975.639999999996, MaxCut value: 65252.18000000001\n",
      "Solution ID: 757, QUBO x: [0, 0, 1, 1, 0, 0, 0, 0, 1, 0, 1], QUBO value: -21566.50999999999, MaxCut value: 98433.92\n",
      "Solution ID: 758, QUBO x: [0, 1, 0, 0, 1, 0, 0, 0, 1, 1, 1], QUBO value: -43687.67, MaxCut value: 142676.24000000002\n",
      "Solution ID: 759, QUBO x: [0, 1, 0, 0, 1, 1, 0, 0, 1, 0, 1], QUBO value: -21566.50999999999, MaxCut value: 98433.92\n",
      "Solution ID: 760, QUBO x: [0, 0, 0, 1, 1, 0, 1, 1, 1, 1, 1], QUBO value: -22121.159999999985, MaxCut value: 99543.21999999999\n",
      "Solution ID: 761, QUBO x: [1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1], QUBO value: -538.4799999999923, MaxCut value: 56377.86\n",
      "Solution ID: 762, QUBO x: [1, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0], QUBO value: 17683.000000000007, MaxCut value: 19934.899999999998\n",
      "Solution ID: 763, QUBO x: [0, 0, 1, 1, 1, 1, 0, 0, 0, 1, 1], QUBO value: 12152.710000000008, MaxCut value: 30995.48\n",
      "Solution ID: 764, QUBO x: [0, 0, 0, 1, 1, 0, 1, 0, 0, 0, 0], QUBO value: -6085.939999999991, MaxCut value: 67472.78\n",
      "Solution ID: 765, QUBO x: [0, 1, 0, 0, 0, 0, 0, 1, 1, 1, 0], QUBO value: -33720.22, MaxCut value: 122741.34000000001\n",
      "Solution ID: 766, QUBO x: [0, 0, 1, 0, 1, 1, 0, 0, 1, 1, 1], QUBO value: -32627.089999999993, MaxCut value: 120555.08\n",
      "Solution ID: 767, QUBO x: [0, 1, 0, 1, 0, 0, 0, 1, 1, 0, 0], QUBO value: -6068.769999999993, MaxCut value: 67438.44\n",
      "Solution ID: 768, QUBO x: [0, 1, 0, 1, 1, 0, 0, 1, 0, 0, 0], QUBO value: 38711.030000000006, MaxCut value: -22121.159999999993\n",
      "Solution ID: 769, QUBO x: [0, 0, 0, 1, 0, 1, 1, 1, 1, 0, 1], QUBO value: -33181.73999999999, MaxCut value: 121664.37999999999\n",
      "Solution ID: 770, QUBO x: [0, 0, 0, 1, 1, 1, 0, 0, 0, 1, 0], QUBO value: 38711.030000000006, MaxCut value: -22121.16\n",
      "Solution ID: 771, QUBO x: [0, 0, 1, 0, 1, 1, 1, 1, 1, 0, 1], QUBO value: -22121.159999999993, MaxCut value: 99543.22\n",
      "Solution ID: 772, QUBO x: [0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1], QUBO value: -27651.449999999986, MaxCut value: 110603.79999999999\n",
      "Solution ID: 773, QUBO x: [1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0], QUBO value: -16590.86999999999, MaxCut value: 88482.64\n",
      "Solution ID: 774, QUBO x: [0, 0, 1, 0, 1, 0, 0, 1, 1, 0, 0], QUBO value: -538.4799999999923, MaxCut value: 56377.86\n",
      "Solution ID: 775, QUBO x: [0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0], QUBO value: -22659.639999999996, MaxCut value: 100620.18000000001\n",
      "Solution ID: 776, QUBO x: [0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1], QUBO value: -4438.159999999993, MaxCut value: 64177.22\n",
      "Solution ID: 777, QUBO x: [0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1], QUBO value: -9968.449999999993, MaxCut value: 75237.8\n",
      "Solution ID: 778, QUBO x: [0, 1, 1, 1, 1, 0, 1, 1, 1, 0, 0], QUBO value: -17683.999999999996, MaxCut value: 90668.90000000001\n",
      "Solution ID: 779, QUBO x: [1, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1], QUBO value: 66362.48000000001, MaxCut value: -77424.06\n",
      "Solution ID: 780, QUBO x: [1, 1, 0, 0, 0, 1, 1, 0, 1, 1, 0], QUBO value: 6622.4200000000055, MaxCut value: 42056.060000000005\n",
      "Solution ID: 781, QUBO x: [0, 1, 1, 0, 1, 0, 0, 0, 1, 0, 0], QUBO value: -538.4799999999923, MaxCut value: 56377.86\n",
      "Solution ID: 782, QUBO x: [1, 1, 0, 0, 0, 1, 0, 1, 1, 0, 0], QUBO value: -4992.809999999994, MaxCut value: 65286.520000000004\n",
      "Solution ID: 783, QUBO x: [0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0], QUBO value: 16589.87000000001, MaxCut value: 22121.16\n",
      "Solution ID: 784, QUBO x: [0, 1, 1, 1, 1, 1, 1, 0, 0, 1, 1], QUBO value: 6067.770000000008, MaxCut value: 43165.36\n",
      "Solution ID: 785, QUBO x: [0, 1, 0, 0, 0, 1, 1, 1, 0, 1, 1], QUBO value: -43704.83999999998, MaxCut value: 142710.58\n",
      "Solution ID: 786, QUBO x: [0, 0, 1, 0, 1, 0, 0, 0, 1, 1, 0], QUBO value: -22659.639999999996, MaxCut value: 100620.18000000001\n",
      "Solution ID: 787, QUBO x: [0, 1, 1, 0, 1, 1, 1, 0, 1, 0, 0], QUBO value: -28744.579999999998, MaxCut value: 112790.06000000001\n",
      "Solution ID: 788, QUBO x: [0, 0, 1, 1, 1, 1, 0, 1, 1, 0, 1], QUBO value: 554.6500000000051, MaxCut value: 54191.600000000006\n",
      "Solution ID: 789, QUBO x: [0, 0, 1, 1, 1, 1, 1, 1, 1, 0, 1], QUBO value: -11060.57999999999, MaxCut value: 77422.06\n",
      "Solution ID: 790, QUBO x: [0, 0, 1, 0, 0, 1, 0, 1, 0, 0, 0], QUBO value: 27650.450000000004, MaxCut value: 3.637978807091713e-12\n",
      "Solution ID: 791, QUBO x: [0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0], QUBO value: -17129.349999999995, MaxCut value: 89559.6\n",
      "Solution ID: 792, QUBO x: [1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1], QUBO value: -6085.939999999991, MaxCut value: 67472.78\n",
      "Solution ID: 793, QUBO x: [0, 1, 1, 1, 0, 1, 0, 1, 1, 0, 1], QUBO value: -4975.639999999996, MaxCut value: 65252.18000000001\n",
      "Solution ID: 794, QUBO x: [1, 1, 1, 1, 0, 0, 1, 1, 0, 0, 0], QUBO value: -43687.67, MaxCut value: 142676.24000000002\n",
      "Solution ID: 795, QUBO x: [1, 1, 1, 0, 1, 1, 1, 0, 1, 0, 1], QUBO value: 5529.290000000008, MaxCut value: 44242.32\n",
      "Solution ID: 796, QUBO x: [0, 0, 1, 0, 1, 0, 0, 1, 0, 0, 1], QUBO value: -4438.159999999993, MaxCut value: 64177.22\n",
      "Solution ID: 797, QUBO x: [1, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0], QUBO value: -11060.57999999999, MaxCut value: 77422.06\n",
      "Solution ID: 798, QUBO x: [0, 1, 1, 1, 0, 1, 0, 1, 0, 0, 0], QUBO value: 44241.32000000001, MaxCut value: -33181.73999999999\n",
      "Solution ID: 799, QUBO x: [1, 1, 0, 1, 0, 0, 1, 0, 1, 1, 0], QUBO value: 1092.1300000000083, MaxCut value: 53116.64\n",
      "Solution ID: 800, QUBO x: [0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 0], QUBO value: -28189.929999999997, MaxCut value: 111680.76000000001\n",
      "Solution ID: 801, QUBO x: [0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 1], QUBO value: -49235.12999999999, MaxCut value: 153771.16\n",
      "Solution ID: 802, QUBO x: [0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1], QUBO value: -49772.609999999986, MaxCut value: 154846.12\n",
      "Solution ID: 803, QUBO x: [0, 1, 0, 0, 1, 1, 0, 1, 1, 1, 1], QUBO value: -32627.09, MaxCut value: 120555.08000000002\n",
      "Solution ID: 804, QUBO x: [0, 1, 1, 1, 0, 1, 0, 0, 0, 1, 0], QUBO value: 44241.32000000001, MaxCut value: -33181.73999999999\n",
      "Solution ID: 805, QUBO x: [0, 0, 0, 1, 1, 0, 1, 1, 1, 1, 0], QUBO value: -28744.57999999999, MaxCut value: 112790.06\n",
      "Solution ID: 806, QUBO x: [0, 1, 0, 1, 1, 0, 0, 0, 1, 0, 1], QUBO value: -16036.219999999998, MaxCut value: 87373.34000000001\n",
      "Solution ID: 807, QUBO x: [0, 0, 0, 1, 1, 1, 1, 0, 1, 0, 0], QUBO value: -34274.869999999995, MaxCut value: 123850.64\n",
      "Solution ID: 808, QUBO x: [0, 0, 1, 1, 0, 1, 1, 1, 1, 1, 1], QUBO value: -16590.86999999999, MaxCut value: 88482.64\n",
      "Solution ID: 809, QUBO x: [0, 0, 0, 0, 1, 1, 1, 0, 1, 0, 1], QUBO value: -38712.029999999984, MaxCut value: 132724.96\n",
      "Solution ID: 810, QUBO x: [0, 1, 1, 0, 0, 0, 0, 1, 1, 0, 1], QUBO value: -21566.51, MaxCut value: 98433.92000000001\n",
      "Solution ID: 811, QUBO x: [1, 0, 0, 1, 1, 0, 1, 1, 1, 0, 1], QUBO value: 33180.740000000005, MaxCut value: -11060.579999999998\n",
      "Solution ID: 812, QUBO x: [1, 1, 0, 1, 1, 1, 0, 0, 0, 0, 0], QUBO value: -33181.73999999999, MaxCut value: 121664.37999999999\n",
      "Solution ID: 813, QUBO x: [0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 0], QUBO value: -17146.519999999993, MaxCut value: 89593.94\n",
      "Solution ID: 814, QUBO x: [0, 0, 0, 1, 1, 0, 0, 0, 0, 1, 0], QUBO value: 33180.740000000005, MaxCut value: -11060.579999999998\n",
      "Solution ID: 815, QUBO x: [0, 1, 1, 0, 1, 0, 1, 0, 1, 1, 0], QUBO value: -28744.579999999998, MaxCut value: 112790.06000000001\n",
      "Solution ID: 816, QUBO x: [0, 1, 1, 1, 0, 0, 1, 0, 0, 1, 1], QUBO value: -10523.099999999995, MaxCut value: 76347.1\n",
      "Solution ID: 817, QUBO x: [0, 1, 0, 0, 0, 1, 0, 1, 1, 0, 1], QUBO value: -27096.799999999992, MaxCut value: 109494.5\n",
      "Solution ID: 818, QUBO x: [0, 1, 0, 1, 0, 1, 0, 0, 0, 1, 0], QUBO value: 33180.740000000005, MaxCut value: -11060.579999999998\n",
      "Solution ID: 819, QUBO x: [0, 0, 0, 1, 1, 0, 0, 1, 0, 0, 1], QUBO value: -4438.159999999993, MaxCut value: 64177.22\n",
      "Solution ID: 820, QUBO x: [1, 0, 1, 0, 0, 1, 1, 0, 0, 0, 0], QUBO value: -27096.8, MaxCut value: 109494.50000000001\n",
      "Solution ID: 821, QUBO x: [0, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0], QUBO value: 55301.90000000001, MaxCut value: -55302.899999999994\n",
      "Solution ID: 822, QUBO x: [0, 1, 1, 1, 1, 0, 1, 1, 0, 1, 1], QUBO value: -16053.389999999996, MaxCut value: 87407.68000000001\n",
      "Solution ID: 823, QUBO x: [1, 0, 1, 0, 1, 0, 1, 0, 1, 1, 1], QUBO value: 33180.740000000005, MaxCut value: -11060.579999999998\n",
      "Solution ID: 824, QUBO x: [0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 1], QUBO value: -27113.96999999999, MaxCut value: 109528.84\n",
      "Solution ID: 825, QUBO x: [0, 0, 1, 0, 0, 0, 1, 0, 1, 1, 1], QUBO value: -38712.029999999984, MaxCut value: 132724.96\n",
      "Solution ID: 826, QUBO x: [1, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0], QUBO value: -11060.57999999999, MaxCut value: 77422.06\n",
      "Solution ID: 827, QUBO x: [0, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1], QUBO value: 6622.420000000009, MaxCut value: 42056.06\n",
      "Solution ID: 828, QUBO x: [0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 0], QUBO value: 27650.450000000004, MaxCut value: 3.637978807091713e-12\n",
      "Solution ID: 829, QUBO x: [0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0], QUBO value: 38711.030000000006, MaxCut value: -22121.16\n",
      "Solution ID: 830, QUBO x: [0, 1, 0, 0, 0, 0, 1, 0, 1, 1, 1], QUBO value: -44242.31999999998, MaxCut value: 143785.53999999998\n",
      "Solution ID: 831, QUBO x: [0, 0, 0, 1, 0, 1, 1, 0, 1, 1, 0], QUBO value: -39805.15999999999, MaxCut value: 134911.22\n",
      "Solution ID: 832, QUBO x: [1, 1, 1, 0, 1, 0, 0, 0, 0, 0, 0], QUBO value: -27651.449999999986, MaxCut value: 110603.79999999999\n",
      "Solution ID: 833, QUBO x: [0, 0, 0, 1, 1, 1, 0, 1, 0, 1, 0], QUBO value: 22120.160000000007, MaxCut value: 11060.580000000002\n",
      "Solution ID: 834, QUBO x: [0, 0, 1, 0, 1, 0, 0, 0, 0, 0, 0], QUBO value: 49771.61000000001, MaxCut value: -44242.32\n",
      "Solution ID: 835, QUBO x: [1, 1, 0, 1, 0, 0, 0, 0, 0, 0, 0], QUBO value: -16590.86999999999, MaxCut value: 88482.64\n",
      "Solution ID: 836, QUBO x: [0, 1, 1, 1, 0, 0, 0, 0, 0, 1, 0], QUBO value: 38711.030000000006, MaxCut value: -22121.159999999993\n",
      "Solution ID: 837, QUBO x: [0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 0], QUBO value: -22659.639999999996, MaxCut value: 100620.18000000001\n",
      "Solution ID: 838, QUBO x: [0, 0, 0, 1, 1, 1, 1, 1, 1, 0, 1], QUBO value: -22121.159999999993, MaxCut value: 99543.22\n",
      "Solution ID: 839, QUBO x: [0, 1, 1, 1, 0, 0, 1, 0, 1, 1, 0], QUBO value: -28744.579999999998, MaxCut value: 112790.06000000001\n",
      "Solution ID: 840, QUBO x: [0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1], QUBO value: -32644.25999999999, MaxCut value: 120589.42\n",
      "Solution ID: 841, QUBO x: [0, 0, 0, 0, 1, 0, 1, 1, 1, 0, 1], QUBO value: -38712.029999999984, MaxCut value: 132724.96\n",
      "Solution ID: 842, QUBO x: [0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 1], QUBO value: -38712.029999999984, MaxCut value: 132724.96\n",
      "Solution ID: 843, QUBO x: [0, 1, 0, 1, 0, 0, 1, 1, 1, 0, 1], QUBO value: -33181.73999999999, MaxCut value: 121664.37999999999\n",
      "Solution ID: 844, QUBO x: [0, 1, 0, 1, 1, 1, 0, 0, 0, 1, 0], QUBO value: 44241.32000000001, MaxCut value: -33181.73999999999\n",
      "Solution ID: 845, QUBO x: [0, 1, 0, 1, 0, 0, 1, 0, 1, 0, 1], QUBO value: -38712.029999999984, MaxCut value: 132724.96\n",
      "Solution ID: 846, QUBO x: [0, 0, 1, 1, 0, 1, 0, 1, 0, 0, 1], QUBO value: 1092.1300000000083, MaxCut value: 53116.64\n",
      "Solution ID: 847, QUBO x: [1, 0, 1, 1, 1, 1, 1, 0, 1, 0, 0], QUBO value: -37619.899999999994, MaxCut value: 130540.70000000001\n",
      "Solution ID: 848, QUBO x: [1, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0], QUBO value: -22121.159999999993, MaxCut value: 99543.22\n",
      "Solution ID: 849, QUBO x: [0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1], QUBO value: -15498.739999999994, MaxCut value: 86298.38\n",
      "Solution ID: 850, QUBO x: [0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0], QUBO value: 22120.160000000007, MaxCut value: 11060.58\n",
      "Solution ID: 851, QUBO x: [1, 1, 1, 1, 1, 0, 1, 1, 0, 1, 0], QUBO value: -38157.37999999999, MaxCut value: 131615.66\n",
      "Solution ID: 852, QUBO x: [0, 1, 0, 1, 0, 0, 1, 1, 0, 1, 0], QUBO value: -22676.809999999994, MaxCut value: 100654.52\n",
      "Solution ID: 853, QUBO x: [0, 1, 0, 0, 1, 1, 0, 0, 1, 1, 1], QUBO value: -38157.37999999999, MaxCut value: 131615.66\n",
      "Solution ID: 854, QUBO x: [1, 0, 0, 1, 0, 1, 0, 1, 0, 0, 1], QUBO value: -28744.579999999998, MaxCut value: 112790.06000000001\n",
      "Solution ID: 855, QUBO x: [1, 1, 1, 0, 0, 0, 0, 0, 1, 0, 1], QUBO value: -11616.229999999992, MaxCut value: 78533.36\n",
      "Solution ID: 856, QUBO x: [0, 1, 1, 0, 0, 1, 1, 0, 1, 1, 1], QUBO value: -27651.449999999993, MaxCut value: 110603.8\n",
      "Solution ID: 857, QUBO x: [1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 1], QUBO value: -44780.79999999999, MaxCut value: 144862.5\n",
      "Solution ID: 858, QUBO x: [0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1], QUBO value: -38174.54999999999, MaxCut value: 131650.0\n",
      "Solution ID: 859, QUBO x: [1, 0, 0, 1, 1, 1, 1, 1, 1, 0, 0], QUBO value: -9968.449999999993, MaxCut value: 75237.8\n",
      "Solution ID: 860, QUBO x: [0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0], QUBO value: -56396.029999999984, MaxCut value: 168092.96\n",
      "Solution ID: 861, QUBO x: [0, 1, 1, 0, 0, 0, 1, 0, 0, 0, 1], QUBO value: -27113.969999999998, MaxCut value: 109528.84000000001\n",
      "Solution ID: 862, QUBO x: [1, 0, 0, 0, 1, 0, 1, 1, 0, 1, 1], QUBO value: 4991.810000000009, MaxCut value: 45317.28\n",
      "Solution ID: 863, QUBO x: [1, 1, 1, 0, 1, 1, 1, 0, 0, 0, 0], QUBO value: -43687.669999999984, MaxCut value: 142676.24\n",
      "Solution ID: 864, QUBO x: [0, 0, 1, 1, 0, 0, 1, 0, 0, 1, 0], QUBO value: -555.6499999999905, MaxCut value: 56412.2\n",
      "Solution ID: 865, QUBO x: [0, 0, 1, 0, 0, 1, 0, 0, 0, 0, 1], QUBO value: 6622.420000000009, MaxCut value: 42056.06\n",
      "Solution ID: 866, QUBO x: [0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0], QUBO value: 5529.290000000008, MaxCut value: 44242.32\n",
      "Solution ID: 867, QUBO x: [1, 1, 0, 1, 0, 1, 0, 0, 1, 0, 1], QUBO value: -17146.519999999993, MaxCut value: 89593.94\n",
      "Solution ID: 868, QUBO x: [0, 1, 1, 1, 0, 1, 1, 0, 0, 1, 0], QUBO value: 10504.930000000008, MaxCut value: 34291.04\n",
      "Solution ID: 869, QUBO x: [0, 1, 0, 0, 1, 0, 1, 1, 0, 1, 1], QUBO value: -38174.54999999999, MaxCut value: 131650.0\n",
      "Solution ID: 870, QUBO x: [0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0], QUBO value: -56396.029999999984, MaxCut value: 168092.96\n",
      "Solution ID: 871, QUBO x: [0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1], QUBO value: -54765.419999999984, MaxCut value: 164831.74\n",
      "Solution ID: 872, QUBO x: [1, 0, 1, 1, 0, 1, 0, 0, 0, 1, 1], QUBO value: -39805.15999999999, MaxCut value: 134911.22\n",
      "Solution ID: 873, QUBO x: [0, 1, 1, 0, 1, 1, 1, 0, 0, 0, 1], QUBO value: -10523.099999999995, MaxCut value: 76347.1\n",
      "Solution ID: 874, QUBO x: [0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1], QUBO value: -27113.96999999999, MaxCut value: 109528.84\n",
      "Solution ID: 875, QUBO x: [0, 1, 0, 0, 0, 0, 1, 1, 1, 0, 0], QUBO value: -50865.73999999999, MaxCut value: 157032.38\n",
      "Solution ID: 876, QUBO x: [0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1], QUBO value: -38712.029999999984, MaxCut value: 132724.96\n",
      "Solution ID: 877, QUBO x: [1, 1, 1, 1, 1, 1, 1, 1, 0, 1, 0], QUBO value: -43687.669999999984, MaxCut value: 142676.24\n",
      "Solution ID: 878, QUBO x: [1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1], QUBO value: -12153.709999999995, MaxCut value: 79608.32\n",
      "Solution ID: 879, QUBO x: [0, 0, 1, 0, 0, 1, 0, 0, 1, 0, 0], QUBO value: -11599.059999999994, MaxCut value: 78499.02\n",
      "Solution ID: 880, QUBO x: [1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 1], QUBO value: 55301.90000000001, MaxCut value: -55302.899999999994\n",
      "Solution ID: 881, QUBO x: [0, 0, 0, 0, 1, 1, 1, 1, 1, 0, 0], QUBO value: -39805.15999999999, MaxCut value: 134911.22\n",
      "Solution ID: 882, QUBO x: [0, 0, 0, 0, 1, 0, 0, 1, 1, 1, 0], QUBO value: -28189.929999999997, MaxCut value: 111680.76000000001\n",
      "Solution ID: 883, QUBO x: [0, 1, 1, 0, 0, 0, 0, 1, 0, 0, 0], QUBO value: 27650.450000000004, MaxCut value: 3.637978807091713e-12\n",
      "Solution ID: 884, QUBO x: [1, 1, 1, 1, 0, 1, 0, 1, 1, 0, 0], QUBO value: -27113.96999999999, MaxCut value: 109528.84\n",
      "Solution ID: 885, QUBO x: [0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0], QUBO value: 16589.87000000001, MaxCut value: 22121.16\n",
      "Solution ID: 886, QUBO x: [0, 0, 1, 0, 1, 1, 1, 1, 0, 1, 0], QUBO value: -11616.229999999992, MaxCut value: 78533.36\n",
      "Solution ID: 887, QUBO x: [0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0], QUBO value: -22659.639999999996, MaxCut value: 100620.18000000001\n",
      "Solution ID: 888, QUBO x: [0, 1, 0, 1, 1, 0, 0, 0, 0, 0, 0], QUBO value: 55301.90000000001, MaxCut value: -55302.899999999994\n",
      "Solution ID: 889, QUBO x: [0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0], QUBO value: -28189.929999999997, MaxCut value: 111680.76000000001\n",
      "Solution ID: 890, QUBO x: [1, 0, 0, 1, 0, 1, 0, 1, 0, 1, 1], QUBO value: -34274.869999999995, MaxCut value: 123850.64000000001\n",
      "Solution ID: 891, QUBO x: [1, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0], QUBO value: -22121.159999999993, MaxCut value: 99543.22\n",
      "Solution ID: 892, QUBO x: [0, 0, 0, 0, 1, 1, 0, 1, 1, 1, 1], QUBO value: -38157.37999999999, MaxCut value: 131615.66\n",
      "Solution ID: 893, QUBO x: [0, 1, 1, 0, 1, 1, 0, 1, 1, 1, 1], QUBO value: -21566.51, MaxCut value: 98433.92000000001\n",
      "Solution ID: 894, QUBO x: [0, 0, 0, 1, 0, 1, 1, 0, 0, 0, 0], QUBO value: -11616.229999999992, MaxCut value: 78533.36\n",
      "Solution ID: 895, QUBO x: [0, 0, 0, 1, 0, 0, 0, 1, 1, 1, 0], QUBO value: -28189.929999999997, MaxCut value: 111680.76000000001\n",
      "Solution ID: 896, QUBO x: [0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1], QUBO value: -27651.449999999993, MaxCut value: 110603.8\n",
      "Solution ID: 897, QUBO x: [0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 1], QUBO value: -27096.8, MaxCut value: 109494.50000000001\n",
      "Solution ID: 898, QUBO x: [1, 0, 1, 1, 1, 1, 1, 0, 0, 0, 0], QUBO value: -49217.95999999999, MaxCut value: 153736.82\n",
      "Solution ID: 899, QUBO x: [0, 1, 0, 1, 0, 1, 0, 1, 0, 1, 1], QUBO value: -21029.029999999995, MaxCut value: 97358.96\n",
      "Solution ID: 900, QUBO x: [1, 1, 1, 0, 1, 1, 0, 1, 0, 0, 1], QUBO value: -45335.44999999998, MaxCut value: 145971.8\n",
      "Solution ID: 901, QUBO x: [0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0], QUBO value: -17129.349999999995, MaxCut value: 89559.6\n",
      "Solution ID: 902, QUBO x: [0, 0, 1, 0, 0, 0, 1, 1, 0, 1, 1], QUBO value: -43704.83999999998, MaxCut value: 142710.58\n",
      "Solution ID: 903, QUBO x: [0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0], QUBO value: -17129.349999999995, MaxCut value: 89559.6\n",
      "Solution ID: 904, QUBO x: [1, 1, 1, 0, 0, 1, 1, 1, 0, 1, 1], QUBO value: -6068.769999999993, MaxCut value: 67438.44\n",
      "Solution ID: 905, QUBO x: [0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1], QUBO value: -27651.449999999986, MaxCut value: 110603.79999999999\n",
      "Solution ID: 906, QUBO x: [0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 0], QUBO value: -17146.519999999993, MaxCut value: 89593.94\n",
      "Solution ID: 907, QUBO x: [0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0], QUBO value: 22120.160000000007, MaxCut value: 11060.58\n",
      "Solution ID: 908, QUBO x: [0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0], QUBO value: 16589.87000000001, MaxCut value: 22121.16\n",
      "Solution ID: 909, QUBO x: [0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 1], QUBO value: -49772.609999999986, MaxCut value: 154846.12\n",
      "Solution ID: 910, QUBO x: [1, 1, 1, 1, 1, 0, 1, 1, 1, 1, 0], QUBO value: -4438.159999999993, MaxCut value: 64177.22\n",
      "Solution ID: 911, QUBO x: [1, 0, 0, 0, 1, 0, 1, 0, 0, 0, 0], QUBO value: -21566.51, MaxCut value: 98433.92000000001\n",
      "Solution ID: 912, QUBO x: [0, 1, 0, 0, 1, 1, 1, 0, 1, 1, 1], QUBO value: -27651.449999999993, MaxCut value: 110603.8\n",
      "Solution ID: 913, QUBO x: [0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1], QUBO value: 1092.1300000000083, MaxCut value: 53116.64\n",
      "Solution ID: 914, QUBO x: [1, 0, 1, 1, 1, 1, 0, 1, 0, 0, 0], QUBO value: -44242.31999999998, MaxCut value: 143785.53999999998\n",
      "Solution ID: 915, QUBO x: [0, 0, 0, 0, 1, 1, 1, 0, 1, 1, 1], QUBO value: -33181.73999999999, MaxCut value: 121664.37999999999\n",
      "Solution ID: 916, QUBO x: [0, 0, 1, 1, 0, 0, 1, 0, 1, 1, 1], QUBO value: -27651.449999999993, MaxCut value: 110603.8\n",
      "Solution ID: 917, QUBO x: [0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1], QUBO value: -38174.54999999999, MaxCut value: 131650.0\n",
      "Solution ID: 918, QUBO x: [1, 0, 0, 1, 0, 1, 1, 1, 0, 1, 0], QUBO value: -16036.219999999998, MaxCut value: 87373.34000000001\n",
      "Solution ID: 919, QUBO x: [0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 0], QUBO value: -6068.769999999993, MaxCut value: 67438.44\n",
      "Solution ID: 920, QUBO x: [1, 0, 0, 1, 0, 1, 0, 0, 0, 1, 1], QUBO value: -28744.579999999998, MaxCut value: 112790.06000000001\n",
      "Solution ID: 921, QUBO x: [0, 0, 1, 1, 1, 1, 0, 1, 0, 1, 0], QUBO value: 33180.740000000005, MaxCut value: -11060.57999999999\n",
      "Solution ID: 922, QUBO x: [0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 1], QUBO value: -9968.449999999993, MaxCut value: 75237.8\n",
      "Solution ID: 923, QUBO x: [1, 1, 1, 0, 1, 0, 0, 0, 1, 1, 0], QUBO value: -43704.84, MaxCut value: 142710.58000000002\n",
      "Solution ID: 924, QUBO x: [0, 1, 1, 0, 1, 1, 1, 0, 0, 0, 0], QUBO value: 4974.64000000001, MaxCut value: 45351.619999999995\n",
      "Solution ID: 925, QUBO x: [0, 1, 0, 0, 1, 0, 1, 0, 1, 1, 0], QUBO value: -39805.15999999999, MaxCut value: 134911.22\n",
      "Solution ID: 926, QUBO x: [1, 1, 1, 1, 0, 1, 1, 0, 1, 1, 0], QUBO value: -15498.739999999994, MaxCut value: 86298.38\n",
      "Solution ID: 927, QUBO x: [0, 1, 1, 1, 1, 1, 1, 1, 0, 1, 0], QUBO value: 4974.64000000001, MaxCut value: 45351.619999999995\n",
      "Solution ID: 928, QUBO x: [1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 1], QUBO value: -22676.809999999994, MaxCut value: 100654.52\n",
      "Solution ID: 929, QUBO x: [0, 0, 1, 1, 0, 0, 1, 0, 1, 0, 0], QUBO value: -39805.15999999999, MaxCut value: 134911.22\n",
      "Solution ID: 930, QUBO x: [1, 0, 1, 0, 0, 0, 1, 0, 1, 1, 0], QUBO value: 6622.4200000000055, MaxCut value: 42056.060000000005\n",
      "Solution ID: 931, QUBO x: [0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1], QUBO value: -54748.249999999985, MaxCut value: 164797.4\n",
      "Solution ID: 932, QUBO x: [1, 1, 1, 0, 1, 1, 1, 1, 0, 1, 0], QUBO value: -32627.089999999993, MaxCut value: 120555.08\n",
      "Solution ID: 933, QUBO x: [1, 0, 1, 1, 1, 0, 0, 1, 0, 0, 0], QUBO value: -38712.029999999984, MaxCut value: 132724.96\n",
      "Solution ID: 934, QUBO x: [0, 1, 0, 0, 0, 1, 0, 1, 1, 1, 0], QUBO value: -28189.929999999997, MaxCut value: 111680.76000000001\n",
      "Solution ID: 935, QUBO x: [0, 0, 0, 1, 1, 1, 0, 0, 1, 0, 0], QUBO value: -538.4799999999923, MaxCut value: 56377.86\n",
      "Solution ID: 936, QUBO x: [0, 0, 1, 1, 0, 0, 0, 1, 1, 0, 0], QUBO value: -538.4799999999923, MaxCut value: 56377.86\n",
      "Solution ID: 937, QUBO x: [0, 0, 0, 1, 1, 0, 1, 1, 1, 0, 0], QUBO value: -34274.869999999995, MaxCut value: 123850.64\n",
      "Solution ID: 938, QUBO x: [1, 1, 0, 0, 1, 1, 1, 0, 0, 1, 0], QUBO value: -16036.219999999998, MaxCut value: 87373.34000000001\n",
      "Solution ID: 939, QUBO x: [0, 1, 0, 1, 0, 0, 0, 0, 1, 0, 0], QUBO value: -11599.059999999994, MaxCut value: 78499.02\n",
      "Solution ID: 940, QUBO x: [1, 0, 1, 1, 1, 1, 0, 0, 0, 1, 1], QUBO value: -50865.73999999999, MaxCut value: 157032.38\n",
      "Solution ID: 941, QUBO x: [0, 0, 0, 1, 0, 1, 1, 0, 0, 0, 1], QUBO value: -27113.969999999998, MaxCut value: 109528.84000000001\n",
      "Solution ID: 942, QUBO x: [0, 0, 1, 1, 0, 1, 1, 0, 0, 0, 0], QUBO value: -555.6499999999905, MaxCut value: 56412.2\n",
      "Solution ID: 943, QUBO x: [0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1], QUBO value: -9968.449999999993, MaxCut value: 75237.8\n",
      "Solution ID: 944, QUBO x: [0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0], QUBO value: 16589.87000000001, MaxCut value: 22121.16\n",
      "Solution ID: 945, QUBO x: [1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1], QUBO value: -12153.709999999988, MaxCut value: 79608.31999999999\n",
      "Solution ID: 946, QUBO x: [1, 0, 0, 1, 1, 1, 0, 1, 1, 1, 0], QUBO value: -27113.969999999998, MaxCut value: 109528.84000000001\n",
      "Solution ID: 947, QUBO x: [0, 0, 1, 1, 0, 1, 0, 0, 0, 0, 0], QUBO value: 55301.90000000001, MaxCut value: -55302.9\n",
      "Solution ID: 948, QUBO x: [0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 1], QUBO value: -49217.95999999999, MaxCut value: 153736.82\n",
      "Solution ID: 949, QUBO x: [1, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0], QUBO value: -16590.86999999999, MaxCut value: 88482.64\n",
      "Solution ID: 950, QUBO x: [0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1], QUBO value: -43687.669999999984, MaxCut value: 142676.24\n",
      "Solution ID: 951, QUBO x: [0, 1, 0, 0, 1, 1, 1, 1, 0, 0, 0], QUBO value: -22676.809999999994, MaxCut value: 100654.52\n",
      "Solution ID: 952, QUBO x: [1, 1, 1, 1, 1, 1, 0, 1, 1, 1, 0], QUBO value: -43704.83999999998, MaxCut value: 142710.58\n",
      "Solution ID: 953, QUBO x: [1, 1, 1, 0, 1, 0, 0, 0, 0, 1, 1], QUBO value: -39805.15999999999, MaxCut value: 134911.22\n",
      "Solution ID: 954, QUBO x: [0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0], QUBO value: -11616.229999999992, MaxCut value: 78533.36\n",
      "Solution ID: 955, QUBO x: [0, 0, 1, 1, 1, 1, 0, 1, 0, 0, 0], QUBO value: 49771.61, MaxCut value: -44242.31999999999\n",
      "Solution ID: 956, QUBO x: [0, 1, 1, 0, 1, 1, 1, 1, 1, 1, 1], QUBO value: -11060.57999999999, MaxCut value: 77422.06\n",
      "Solution ID: 957, QUBO x: [0, 1, 0, 0, 0, 1, 1, 1, 0, 0, 1], QUBO value: -49235.12999999999, MaxCut value: 153771.16\n",
      "Solution ID: 958, QUBO x: [0, 0, 1, 0, 0, 1, 1, 0, 1, 0, 1], QUBO value: -38712.029999999984, MaxCut value: 132724.96\n",
      "Solution ID: 959, QUBO x: [0, 0, 0, 1, 0, 1, 0, 0, 0, 0, 1], QUBO value: 6622.420000000009, MaxCut value: 42056.06\n",
      "Solution ID: 960, QUBO x: [0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 1], QUBO value: -49772.609999999986, MaxCut value: 154846.12\n",
      "Solution ID: 961, QUBO x: [0, 1, 0, 0, 1, 1, 1, 1, 0, 1, 1], QUBO value: -32644.25999999999, MaxCut value: 120589.42\n",
      "Solution ID: 962, QUBO x: [0, 1, 0, 1, 1, 1, 1, 1, 0, 0, 0], QUBO value: -11616.229999999992, MaxCut value: 78533.36\n",
      "Solution ID: 963, QUBO x: [1, 1, 1, 0, 0, 0, 0, 0, 1, 1, 0], QUBO value: -32644.25999999999, MaxCut value: 120589.42\n",
      "Solution ID: 964, QUBO x: [0, 1, 0, 0, 1, 1, 0, 0, 0, 0, 0], QUBO value: 49771.61000000001, MaxCut value: -44242.32\n",
      "Solution ID: 965, QUBO x: [0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 0], QUBO value: 27650.450000000004, MaxCut value: 3.637978807091713e-12\n",
      "Solution ID: 966, QUBO x: [0, 0, 1, 0, 0, 0, 1, 1, 0, 1, 0], QUBO value: -28207.099999999995, MaxCut value: 111715.1\n",
      "Solution ID: 967, QUBO x: [0, 0, 0, 1, 1, 0, 0, 0, 1, 0, 0], QUBO value: -6068.769999999993, MaxCut value: 67438.44\n",
      "Solution ID: 968, QUBO x: [1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 0], QUBO value: -9968.449999999993, MaxCut value: 75237.8\n",
      "Solution ID: 969, QUBO x: [0, 1, 0, 1, 0, 1, 1, 0, 1, 0, 0], QUBO value: -39805.15999999999, MaxCut value: 134911.22\n",
      "Solution ID: 970, QUBO x: [0, 1, 1, 1, 0, 0, 1, 1, 0, 0, 1], QUBO value: -32644.26, MaxCut value: 120589.42000000001\n",
      "Solution ID: 971, QUBO x: [0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0], QUBO value: -61926.31999999999, MaxCut value: 179153.54\n",
      "Solution ID: 972, QUBO x: [0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0], QUBO value: -6623.419999999995, MaxCut value: 68547.74\n",
      "Solution ID: 973, QUBO x: [1, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1], QUBO value: 22120.160000000003, MaxCut value: 11060.580000000009\n",
      "Solution ID: 974, QUBO x: [0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1], QUBO value: -43687.67, MaxCut value: 142676.24000000002\n",
      "Solution ID: 975, QUBO x: [1, 1, 0, 0, 1, 0, 1, 0, 1, 0, 0], QUBO value: -15498.739999999994, MaxCut value: 86298.38\n",
      "Solution ID: 976, QUBO x: [0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0], QUBO value: 22120.160000000007, MaxCut value: 11060.58\n",
      "Solution ID: 977, QUBO x: [0, 0, 0, 1, 0, 0, 1, 1, 1, 1, 1], QUBO value: -33181.73999999999, MaxCut value: 121664.37999999999\n",
      "Solution ID: 978, QUBO x: [0, 0, 0, 1, 0, 0, 0, 1, 1, 1, 1], QUBO value: -43687.669999999984, MaxCut value: 142676.24\n",
      "Solution ID: 979, QUBO x: [0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0], QUBO value: -50865.73999999999, MaxCut value: 157032.38\n",
      "Solution ID: 980, QUBO x: [0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0], QUBO value: -22659.639999999996, MaxCut value: 100620.18000000001\n",
      "Solution ID: 981, QUBO x: [1, 1, 1, 0, 1, 1, 0, 1, 0, 0, 0], QUBO value: -38712.029999999984, MaxCut value: 132724.96\n",
      "Solution ID: 982, QUBO x: [0, 1, 0, 0, 1, 0, 0, 1, 1, 1, 1], QUBO value: -38157.37999999999, MaxCut value: 131615.66\n",
      "Solution ID: 983, QUBO x: [0, 0, 0, 0, 1, 1, 1, 0, 1, 1, 0], QUBO value: -39805.15999999999, MaxCut value: 134911.22\n",
      "Solution ID: 984, QUBO x: [0, 0, 0, 0, 0, 1, 1, 1, 1, 0, 1], QUBO value: -44242.31999999998, MaxCut value: 143785.53999999998\n",
      "Solution ID: 985, QUBO x: [0, 1, 1, 1, 0, 1, 0, 0, 0, 0, 1], QUBO value: 23213.290000000008, MaxCut value: 8874.32\n",
      "Solution ID: 986, QUBO x: [0, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1], QUBO value: 6622.420000000009, MaxCut value: 42056.06\n",
      "Solution ID: 987, QUBO x: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], QUBO value: 27650.450000000008, MaxCut value: 0.0\n",
      "Solution ID: 988, QUBO x: [1, 1, 1, 0, 1, 1, 1, 0, 0, 0, 1], QUBO value: -28189.929999999997, MaxCut value: 111680.76000000001\n",
      "Solution ID: 989, QUBO x: [0, 0, 1, 1, 1, 0, 1, 0, 1, 1, 0], QUBO value: -23214.289999999997, MaxCut value: 101729.48000000001\n",
      "Solution ID: 990, QUBO x: [0, 1, 0, 0, 1, 1, 1, 1, 1, 1, 1], QUBO value: -22121.159999999985, MaxCut value: 99543.21999999999\n",
      "Solution ID: 991, QUBO x: [0, 0, 1, 1, 1, 0, 0, 1, 1, 0, 0], QUBO value: 10522.100000000006, MaxCut value: 34256.700000000004\n",
      "Solution ID: 992, QUBO x: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1], QUBO value: -9968.449999999993, MaxCut value: 75237.8\n",
      "Solution ID: 993, QUBO x: [0, 0, 1, 0, 0, 0, 0, 1, 1, 1, 1], QUBO value: -43687.669999999984, MaxCut value: 142676.24\n",
      "Solution ID: 994, QUBO x: [0, 0, 1, 1, 0, 1, 1, 1, 1, 0, 0], QUBO value: -28744.57999999999, MaxCut value: 112790.06\n",
      "Solution ID: 995, QUBO x: [0, 0, 0, 1, 1, 0, 0, 1, 1, 0, 1], QUBO value: -16036.219999999998, MaxCut value: 87373.34000000001\n",
      "Solution ID: 996, QUBO x: [0, 1, 0, 1, 1, 1, 1, 0, 1, 0, 1], QUBO value: -22121.159999999993, MaxCut value: 99543.22\n",
      "Solution ID: 997, QUBO x: [0, 1, 1, 1, 0, 1, 0, 1, 1, 0, 0], QUBO value: 10522.100000000006, MaxCut value: 34256.700000000004\n",
      "Solution ID: 998, QUBO x: [0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1], QUBO value: -26559.319999999996, MaxCut value: 108419.54000000001\n",
      "Solution ID: 999, QUBO x: [1, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0], QUBO value: -21583.679999999997, MaxCut value: 98468.26000000001\n",
      "Solution ID: 1000, QUBO x: [0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0], QUBO value: -28744.57999999999, MaxCut value: 112790.06\n",
      "Solution ID: 1001, QUBO x: [1, 0, 0, 1, 0, 0, 0, 1, 1, 1, 0], QUBO value: -10523.099999999995, MaxCut value: 76347.1\n",
      "Solution ID: 1002, QUBO x: [0, 0, 1, 1, 0, 1, 1, 1, 0, 0, 1], QUBO value: -32644.25999999999, MaxCut value: 120589.42\n",
      "Solution ID: 1003, QUBO x: [1, 0, 1, 1, 0, 1, 0, 1, 0, 0, 1], QUBO value: -39805.15999999999, MaxCut value: 134911.22\n",
      "Solution ID: 1004, QUBO x: [0, 1, 0, 0, 1, 0, 0, 1, 1, 0, 0], QUBO value: -6068.769999999993, MaxCut value: 67438.44\n",
      "Solution ID: 1005, QUBO x: [0, 0, 0, 0, 0, 1, 0, 1, 1, 1, 1], QUBO value: -49217.95999999999, MaxCut value: 153736.82\n",
      "Solution ID: 1006, QUBO x: [0, 0, 1, 1, 1, 0, 0, 0, 1, 0, 1], QUBO value: -10505.929999999997, MaxCut value: 76312.76000000001\n",
      "Solution ID: 1007, QUBO x: [1, 0, 0, 1, 0, 1, 0, 1, 0, 1, 0], QUBO value: -27651.449999999993, MaxCut value: 110603.8\n",
      "Solution ID: 1008, QUBO x: [0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1], QUBO value: -43704.83999999998, MaxCut value: 142710.58\n",
      "Solution ID: 1009, QUBO x: [0, 1, 1, 1, 1, 1, 0, 1, 0, 1, 0], QUBO value: 38711.030000000006, MaxCut value: -22121.159999999993\n",
      "Solution ID: 1010, QUBO x: [1, 0, 0, 1, 0, 1, 1, 1, 0, 1, 1], QUBO value: -538.4799999999923, MaxCut value: 56377.86\n",
      "Solution ID: 1011, QUBO x: [1, 0, 0, 1, 1, 1, 0, 0, 0, 1, 0], QUBO value: -33181.73999999999, MaxCut value: 121664.37999999999\n",
      "Solution ID: 1012, QUBO x: [0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0], QUBO value: -50865.73999999999, MaxCut value: 157032.38\n",
      "Solution ID: 1013, QUBO x: [1, 1, 0, 0, 0, 1, 1, 0, 0, 0, 0], QUBO value: -21566.51, MaxCut value: 98433.92000000001\n",
      "Solution ID: 1014, QUBO x: [1, 1, 0, 0, 0, 0, 1, 0, 0, 1, 1], QUBO value: 16052.390000000007, MaxCut value: 23196.120000000003\n",
      "Solution ID: 1015, QUBO x: [0, 1, 1, 0, 1, 0, 0, 1, 0, 1, 0], QUBO value: 22120.160000000003, MaxCut value: 11060.580000000009\n",
      "Solution ID: 1016, QUBO x: [0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0], QUBO value: 22120.160000000007, MaxCut value: 11060.58\n",
      "Solution ID: 1017, QUBO x: [0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 0], QUBO value: -33737.39, MaxCut value: 122775.68000000001\n",
      "Solution ID: 1018, QUBO x: [0, 0, 0, 0, 1, 1, 1, 1, 0, 1, 0], QUBO value: -22676.809999999994, MaxCut value: 100654.52\n",
      "Solution ID: 1019, QUBO x: [0, 0, 1, 0, 1, 0, 0, 0, 0, 1, 1], QUBO value: -4438.159999999993, MaxCut value: 64177.22\n",
      "Solution ID: 1020, QUBO x: [0, 0, 1, 1, 0, 1, 0, 0, 0, 0, 1], QUBO value: 17683.000000000007, MaxCut value: 19934.899999999998\n",
      "Solution ID: 1021, QUBO x: [1, 1, 1, 1, 1, 0, 1, 1, 0, 0, 0], QUBO value: -54748.249999999985, MaxCut value: 164797.4\n",
      "Solution ID: 1022, QUBO x: [0, 1, 0, 1, 1, 0, 0, 0, 1, 1, 0], QUBO value: -17129.349999999995, MaxCut value: 89559.6\n",
      "Solution ID: 1023, QUBO x: [1, 0, 0, 1, 0, 1, 0, 0, 1, 0, 1], QUBO value: -11616.229999999992, MaxCut value: 78533.36\n",
      "Solution ID: 1024, QUBO x: [0, 0, 1, 0, 1, 1, 0, 1, 1, 0, 1], QUBO value: -10505.92999999999, MaxCut value: 76312.76\n",
      "Solution ID: 1025, QUBO x: [0, 0, 1, 1, 1, 1, 0, 1, 1, 1, 0], QUBO value: -538.4799999999923, MaxCut value: 56377.86\n",
      "Solution ID: 1026, QUBO x: [0, 1, 1, 1, 1, 1, 0, 1, 1, 0, 0], QUBO value: 21582.680000000008, MaxCut value: 12135.54\n",
      "Solution ID: 1027, QUBO x: [1, 1, 0, 0, 1, 0, 1, 1, 1, 1, 1], QUBO value: 55301.90000000001, MaxCut value: -55302.9\n",
      "Solution ID: 1028, QUBO x: [0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1], QUBO value: -43150.18999999999, MaxCut value: 141601.28\n",
      "Solution ID: 1029, QUBO x: [0, 1, 1, 0, 0, 0, 1, 1, 1, 0, 0], QUBO value: -39805.15999999999, MaxCut value: 134911.22\n",
      "Solution ID: 1030, QUBO x: [0, 0, 1, 1, 1, 0, 0, 1, 0, 0, 1], QUBO value: 6622.4200000000055, MaxCut value: 42056.060000000005\n",
      "Solution ID: 1031, QUBO x: [0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 0], QUBO value: 22120.160000000007, MaxCut value: 11060.580000000002\n",
      "Solution ID: 1032, QUBO x: [0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1], QUBO value: -21029.029999999995, MaxCut value: 97358.96\n",
      "Solution ID: 1033, QUBO x: [0, 0, 1, 0, 1, 1, 1, 0, 0, 1, 1], QUBO value: -10523.099999999988, MaxCut value: 76347.09999999999\n",
      "Solution ID: 1034, QUBO x: [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1], QUBO value: 27650.450000000008, MaxCut value: 0.0\n",
      "Solution ID: 1035, QUBO x: [1, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0], QUBO value: -10505.929999999997, MaxCut value: 76312.76000000001\n",
      "Solution ID: 1036, QUBO x: [0, 0, 0, 1, 1, 1, 0, 1, 0, 0, 1], QUBO value: 1092.1300000000083, MaxCut value: 53116.64\n",
      "Solution ID: 1037, QUBO x: [0, 1, 0, 0, 1, 0, 1, 1, 1, 0, 1], QUBO value: -33181.73999999999, MaxCut value: 121664.37999999999\n",
      "Solution ID: 1038, QUBO x: [0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 0], QUBO value: -45335.44999999998, MaxCut value: 145971.8\n",
      "Solution ID: 1039, QUBO x: [1, 0, 0, 1, 1, 1, 1, 1, 1, 0, 1], QUBO value: 27650.450000000004, MaxCut value: 3.637978807091713e-12\n",
      "Solution ID: 1040, QUBO x: [0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0], QUBO value: -44797.96999999999, MaxCut value: 144896.84\n",
      "Solution ID: 1041, QUBO x: [0, 1, 0, 1, 0, 1, 1, 1, 1, 0, 1], QUBO value: -27651.449999999993, MaxCut value: 110603.8\n",
      "Solution ID: 1042, QUBO x: [1, 1, 1, 1, 1, 1, 1, 0, 0, 1, 1], QUBO value: -22659.639999999996, MaxCut value: 100620.18000000001\n",
      "Solution ID: 1043, QUBO x: [1, 1, 1, 0, 0, 0, 1, 0, 0, 0, 0], QUBO value: -27096.799999999992, MaxCut value: 109494.5\n",
      "Solution ID: 1044, QUBO x: [1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1], QUBO value: -6623.419999999995, MaxCut value: 68547.74\n",
      "Solution ID: 1045, QUBO x: [0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1], QUBO value: -15498.739999999994, MaxCut value: 86298.38\n",
      "Solution ID: 1046, QUBO x: [0, 1, 1, 1, 0, 0, 0, 1, 1, 1, 1], QUBO value: -27096.8, MaxCut value: 109494.50000000001\n",
      "Solution ID: 1047, QUBO x: [1, 1, 1, 0, 1, 1, 1, 0, 0, 1, 0], QUBO value: -27096.799999999992, MaxCut value: 109494.5\n",
      "Solution ID: 1048, QUBO x: [0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1], QUBO value: 1092.1300000000083, MaxCut value: 53116.64\n",
      "Solution ID: 1049, QUBO x: [0, 1, 1, 1, 1, 0, 0, 1, 0, 0, 1], QUBO value: 12152.710000000008, MaxCut value: 30995.48\n",
      "Solution ID: 1050, QUBO x: [0, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0], QUBO value: -33720.22, MaxCut value: 122741.34000000001\n",
      "Solution ID: 1051, QUBO x: [0, 1, 0, 0, 1, 0, 0, 0, 1, 0, 0], QUBO value: -11599.059999999994, MaxCut value: 78499.02\n",
      "Solution ID: 1052, QUBO x: [1, 0, 0, 1, 1, 0, 0, 1, 0, 0, 0], QUBO value: -27651.449999999993, MaxCut value: 110603.8\n",
      "Solution ID: 1053, QUBO x: [0, 1, 0, 1, 0, 0, 0, 0, 0, 0, 0], QUBO value: 44241.32000000001, MaxCut value: -33181.74\n",
      "Solution ID: 1054, QUBO x: [1, 1, 0, 1, 0, 1, 0, 1, 1, 0, 0], QUBO value: -16053.389999999989, MaxCut value: 87407.68\n",
      "Solution ID: 1055, QUBO x: [0, 1, 1, 1, 0, 0, 1, 0, 0, 0, 1], QUBO value: -16053.389999999996, MaxCut value: 87407.68000000001\n",
      "Solution ID: 1056, QUBO x: [0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 0], QUBO value: -22676.809999999994, MaxCut value: 100654.52\n",
      "Solution ID: 1057, QUBO x: [0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0], QUBO value: -33720.22, MaxCut value: 122741.34000000001\n",
      "Solution ID: 1058, QUBO x: [0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1], QUBO value: -37619.899999999994, MaxCut value: 130540.70000000001\n",
      "Solution ID: 1059, QUBO x: [0, 0, 1, 0, 0, 1, 1, 0, 1, 0, 0], QUBO value: -45335.44999999998, MaxCut value: 145971.8\n",
      "Solution ID: 1060, QUBO x: [0, 0, 1, 0, 0, 1, 1, 0, 1, 1, 0], QUBO value: -39805.15999999999, MaxCut value: 134911.22\n",
      "Solution ID: 1061, QUBO x: [0, 0, 0, 0, 1, 1, 1, 1, 0, 1, 1], QUBO value: -38174.54999999999, MaxCut value: 131650.0\n",
      "Solution ID: 1062, QUBO x: [1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0], QUBO value: -5530.28999999999, MaxCut value: 66361.48\n",
      "Solution ID: 1063, QUBO x: [1, 1, 0, 0, 0, 1, 0, 1, 0, 1, 0], QUBO value: -22121.159999999993, MaxCut value: 99543.22\n",
      "Solution ID: 1064, QUBO x: [0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 1], QUBO value: -38712.029999999984, MaxCut value: 132724.96\n",
      "Solution ID: 1065, QUBO x: [1, 1, 0, 0, 1, 0, 1, 1, 0, 1, 1], QUBO value: -538.4799999999923, MaxCut value: 56377.86\n",
      "Solution ID: 1066, QUBO x: [0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 0], QUBO value: -39267.67999999999, MaxCut value: 133836.26\n",
      "Solution ID: 1067, QUBO x: [0, 1, 0, 0, 0, 1, 0, 1, 1, 0, 0], QUBO value: -11599.059999999994, MaxCut value: 78499.02\n",
      "Solution ID: 1068, QUBO x: [0, 1, 1, 0, 1, 0, 1, 0, 1, 0, 1], QUBO value: -27651.449999999993, MaxCut value: 110603.8\n",
      "Solution ID: 1069, QUBO x: [0, 0, 1, 1, 1, 0, 0, 0, 0, 1, 1], QUBO value: 6622.4200000000055, MaxCut value: 42056.060000000005\n",
      "Solution ID: 1070, QUBO x: [1, 1, 1, 1, 0, 1, 1, 1, 1, 1, 1], QUBO value: 38711.030000000006, MaxCut value: -22121.16\n",
      "Solution ID: 1071, QUBO x: [1, 1, 1, 0, 1, 1, 1, 1, 1, 0, 1], QUBO value: 22120.160000000007, MaxCut value: 11060.58\n",
      "Solution ID: 1072, QUBO x: [0, 0, 0, 1, 0, 1, 0, 1, 1, 1, 0], QUBO value: -22659.639999999996, MaxCut value: 100620.18000000001\n",
      "Solution ID: 1073, QUBO x: [0, 0, 1, 1, 0, 0, 1, 1, 1, 0, 0], QUBO value: -34274.869999999995, MaxCut value: 123850.64\n",
      "Solution ID: 1074, QUBO x: [0, 1, 1, 0, 1, 0, 1, 1, 1, 0, 1], QUBO value: -22121.159999999993, MaxCut value: 99543.22\n",
      "Solution ID: 1075, QUBO x: [0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1], QUBO value: 1092.1300000000083, MaxCut value: 53116.64\n",
      "Solution ID: 1076, QUBO x: [0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0], QUBO value: 5529.290000000008, MaxCut value: 44242.32\n",
      "Solution ID: 1077, QUBO x: [0, 0, 0, 0, 1, 1, 1, 1, 1, 0, 1], QUBO value: -33181.73999999999, MaxCut value: 121664.37999999999\n",
      "Solution ID: 1078, QUBO x: [0, 0, 1, 0, 0, 0, 1, 0, 1, 1, 0], QUBO value: -45335.44999999998, MaxCut value: 145971.8\n",
      "Solution ID: 1079, QUBO x: [1, 0, 1, 1, 1, 0, 1, 0, 0, 0, 0], QUBO value: -43687.669999999984, MaxCut value: 142676.24\n",
      "Solution ID: 1080, QUBO x: [0, 1, 1, 1, 0, 1, 1, 0, 1, 1, 0], QUBO value: -23214.289999999997, MaxCut value: 101729.48000000001\n",
      "Solution ID: 1081, QUBO x: [1, 0, 0, 0, 1, 1, 1, 1, 0, 0, 1], QUBO value: -17129.349999999995, MaxCut value: 89559.6\n",
      "Solution ID: 1082, QUBO x: [0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 1], QUBO value: -44242.31999999998, MaxCut value: 143785.53999999998\n",
      "Solution ID: 1083, QUBO x: [1, 1, 1, 1, 0, 1, 1, 0, 0, 0, 1], QUBO value: -28189.929999999997, MaxCut value: 111680.76000000001\n",
      "Solution ID: 1084, QUBO x: [0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0], QUBO value: -0.9999999999890861, MaxCut value: 55302.899999999994\n",
      "Solution ID: 1085, QUBO x: [0, 1, 0, 1, 0, 0, 1, 0, 1, 1, 1], QUBO value: -33181.73999999999, MaxCut value: 121664.37999999999\n",
      "Solution ID: 1086, QUBO x: [0, 1, 1, 1, 0, 1, 0, 0, 1, 1, 1], QUBO value: -27096.8, MaxCut value: 109494.50000000001\n",
      "Solution ID: 1087, QUBO x: [1, 1, 1, 0, 1, 0, 1, 0, 1, 0, 0], QUBO value: -26559.319999999996, MaxCut value: 108419.54000000001\n",
      "Solution ID: 1088, QUBO x: [0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1], QUBO value: -43687.67, MaxCut value: 142676.24000000002\n",
      "Solution ID: 1089, QUBO x: [0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1], QUBO value: -32627.09, MaxCut value: 120555.08000000002\n",
      "Solution ID: 1090, QUBO x: [0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 1], QUBO value: -32089.609999999997, MaxCut value: 119480.12000000001\n",
      "Solution ID: 1091, QUBO x: [0, 1, 0, 0, 1, 1, 1, 1, 1, 0, 1], QUBO value: -27651.449999999993, MaxCut value: 110603.8\n",
      "Solution ID: 1092, QUBO x: [0, 0, 1, 0, 1, 0, 1, 1, 0, 1, 1], QUBO value: -32644.25999999999, MaxCut value: 120589.42\n",
      "Solution ID: 1093, QUBO x: [0, 1, 1, 0, 0, 1, 1, 1, 1, 0, 0], QUBO value: -34274.869999999995, MaxCut value: 123850.64\n",
      "Solution ID: 1094, QUBO x: [0, 1, 0, 0, 1, 0, 0, 1, 1, 1, 0], QUBO value: -22659.639999999996, MaxCut value: 100620.18000000001\n",
      "Solution ID: 1095, QUBO x: [1, 1, 0, 0, 1, 1, 0, 1, 1, 1, 0], QUBO value: -21583.67999999999, MaxCut value: 98468.26\n",
      "Solution ID: 1096, QUBO x: [0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1], QUBO value: -32627.089999999993, MaxCut value: 120555.08\n",
      "Solution ID: 1097, QUBO x: [1, 0, 1, 0, 1, 0, 0, 1, 0, 1, 0], QUBO value: -33181.73999999999, MaxCut value: 121664.38\n",
      "Solution ID: 1098, QUBO x: [0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0], QUBO value: -5531.28999999999, MaxCut value: 66363.48\n",
      "Solution ID: 1099, QUBO x: [1, 0, 1, 1, 0, 1, 1, 0, 0, 0, 1], QUBO value: -22659.639999999996, MaxCut value: 100620.18000000001\n",
      "Solution ID: 1100, QUBO x: [0, 1, 0, 1, 0, 0, 1, 0, 0, 0, 1], QUBO value: -27113.969999999998, MaxCut value: 109528.84000000001\n",
      "Solution ID: 1101, QUBO x: [0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 1], QUBO value: -27113.96999999999, MaxCut value: 109528.84\n",
      "Solution ID: 1102, QUBO x: [0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 1], QUBO value: -49235.12999999999, MaxCut value: 153771.16\n",
      "Solution ID: 1103, QUBO x: [0, 0, 1, 1, 1, 0, 0, 0, 1, 1, 1], QUBO value: -27096.8, MaxCut value: 109494.50000000001\n",
      "Solution ID: 1104, QUBO x: [0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1], QUBO value: -44242.31999999999, MaxCut value: 143785.54\n",
      "Solution ID: 1105, QUBO x: [0, 0, 1, 1, 0, 0, 0, 0, 0, 1, 0], QUBO value: 33180.740000000005, MaxCut value: -11060.579999999998\n",
      "Solution ID: 1106, QUBO x: [0, 1, 1, 0, 1, 1, 1, 1, 0, 0, 1], QUBO value: -27113.969999999998, MaxCut value: 109528.84000000001\n",
      "Solution ID: 1107, QUBO x: [1, 1, 1, 1, 0, 0, 0, 1, 1, 0, 1], QUBO value: -6085.939999999991, MaxCut value: 67472.78\n",
      "Solution ID: 1108, QUBO x: [0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1], QUBO value: -32089.609999999997, MaxCut value: 119480.12000000001\n",
      "Solution ID: 1109, QUBO x: [1, 0, 0, 1, 0, 0, 1, 1, 0, 1, 0], QUBO value: -10505.929999999997, MaxCut value: 76312.76000000001\n",
      "Solution ID: 1110, QUBO x: [0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1], QUBO value: -32644.25999999999, MaxCut value: 120589.42\n",
      "Solution ID: 1111, QUBO x: [1, 0, 0, 1, 1, 1, 0, 1, 0, 1, 0], QUBO value: -38712.029999999984, MaxCut value: 132724.96\n",
      "Solution ID: 1112, QUBO x: [0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 1], QUBO value: -44242.31999999998, MaxCut value: 143785.53999999998\n",
      "Solution ID: 1113, QUBO x: [0, 0, 1, 1, 0, 0, 0, 0, 1, 0, 0], QUBO value: -6068.769999999993, MaxCut value: 67438.44\n",
      "Solution ID: 1114, QUBO x: [0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 0], QUBO value: -45335.44999999998, MaxCut value: 145971.8\n",
      "Solution ID: 1115, QUBO x: [0, 0, 1, 1, 1, 1, 1, 1, 1, 0, 0], QUBO value: -17683.999999999996, MaxCut value: 90668.90000000001\n",
      "Solution ID: 1116, QUBO x: [1, 1, 1, 0, 0, 0, 0, 0, 1, 0, 0], QUBO value: -27113.96999999999, MaxCut value: 109528.84\n",
      "Solution ID: 1117, QUBO x: [0, 1, 1, 0, 1, 1, 0, 0, 0, 1, 0], QUBO value: 44241.32000000001, MaxCut value: -33181.73999999999\n",
      "Solution ID: 1118, QUBO x: [1, 0, 1, 1, 0, 0, 0, 1, 0, 1, 0], QUBO value: -33181.73999999999, MaxCut value: 121664.38\n",
      "Solution ID: 1119, QUBO x: [1, 0, 0, 0, 1, 1, 0, 0, 0, 0, 1], QUBO value: -23214.289999999997, MaxCut value: 101729.48000000001\n",
      "Solution ID: 1120, QUBO x: [0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0], QUBO value: 22120.160000000007, MaxCut value: 11060.58\n",
      "Solution ID: 1121, QUBO x: [0, 0, 0, 1, 1, 1, 1, 0, 0, 1, 0], QUBO value: 4974.64000000001, MaxCut value: 45351.619999999995\n",
      "Solution ID: 1122, QUBO x: [0, 0, 0, 1, 0, 0, 1, 1, 0, 1, 0], QUBO value: -28207.099999999995, MaxCut value: 111715.1\n",
      "Solution ID: 1123, QUBO x: [1, 0, 1, 0, 1, 1, 0, 0, 1, 0, 0], QUBO value: -38174.54999999999, MaxCut value: 131650.0\n",
      "Solution ID: 1124, QUBO x: [1, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1], QUBO value: -6068.769999999993, MaxCut value: 67438.44\n",
      "Solution ID: 1125, QUBO x: [0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0], QUBO value: 38711.030000000006, MaxCut value: -22121.16\n",
      "Solution ID: 1126, QUBO x: [0, 0, 0, 0, 1, 1, 1, 0, 1, 0, 0], QUBO value: -45335.44999999998, MaxCut value: 145971.8\n",
      "Solution ID: 1127, QUBO x: [0, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0], QUBO value: -538.4799999999923, MaxCut value: 56377.86\n",
      "Solution ID: 1128, QUBO x: [0, 0, 1, 1, 0, 0, 0, 1, 0, 0, 0], QUBO value: 33180.740000000005, MaxCut value: -11060.579999999998\n",
      "Solution ID: 1129, QUBO x: [0, 1, 0, 0, 0, 1, 0, 1, 1, 1, 1], QUBO value: -43687.669999999984, MaxCut value: 142676.24\n",
      "Solution ID: 1130, QUBO x: [0, 1, 0, 0, 1, 0, 0, 1, 0, 0, 1], QUBO value: -9968.449999999993, MaxCut value: 75237.8\n",
      "Solution ID: 1131, QUBO x: [0, 0, 1, 0, 0, 0, 1, 1, 1, 0, 1], QUBO value: -38712.029999999984, MaxCut value: 132724.96\n",
      "Solution ID: 1132, QUBO x: [0, 0, 0, 1, 0, 0, 1, 1, 1, 1, 0], QUBO value: -39805.15999999999, MaxCut value: 134911.22\n",
      "Solution ID: 1133, QUBO x: [0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1], QUBO value: -21029.029999999995, MaxCut value: 97358.96\n",
      "Solution ID: 1134, QUBO x: [1, 0, 0, 0, 0, 1, 1, 1, 1, 1, 0], QUBO value: 28743.58000000001, MaxCut value: -2186.260000000002\n",
      "Solution ID: 1135, QUBO x: [1, 1, 0, 1, 1, 0, 0, 0, 0, 1, 0], QUBO value: -33181.73999999999, MaxCut value: 121664.37999999999\n",
      "Solution ID: 1136, QUBO x: [0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 1], QUBO value: -15498.739999999994, MaxCut value: 86298.38\n",
      "Solution ID: 1137, QUBO x: [0, 1, 0, 0, 1, 0, 0, 0, 0, 1, 1], QUBO value: -9968.449999999993, MaxCut value: 75237.8\n",
      "Solution ID: 1138, QUBO x: [0, 0, 1, 1, 0, 0, 1, 1, 1, 0, 1], QUBO value: -27651.449999999993, MaxCut value: 110603.8\n",
      "Solution ID: 1139, QUBO x: [0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0], QUBO value: -28207.099999999995, MaxCut value: 111715.1\n",
      "Solution ID: 1140, QUBO x: [0, 0, 1, 0, 1, 0, 1, 0, 0, 1, 1], QUBO value: -16053.389999999989, MaxCut value: 87407.68\n",
      "Solution ID: 1141, QUBO x: [0, 0, 1, 1, 0, 1, 0, 1, 0, 1, 0], QUBO value: 22120.160000000007, MaxCut value: 11060.580000000002\n",
      "Solution ID: 1142, QUBO x: [0, 0, 0, 1, 1, 1, 0, 0, 1, 0, 1], QUBO value: -16036.21999999999, MaxCut value: 87373.34\n",
      "Solution ID: 1143, QUBO x: [1, 1, 0, 1, 1, 1, 0, 1, 1, 1, 1], QUBO value: -17146.519999999993, MaxCut value: 89593.94\n",
      "Solution ID: 1144, QUBO x: [0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 1], QUBO value: -32627.089999999993, MaxCut value: 120555.08\n",
      "Solution ID: 1145, QUBO x: [0, 0, 0, 1, 0, 1, 0, 0, 0, 0, 0], QUBO value: 44241.32000000001, MaxCut value: -33181.74\n",
      "Solution ID: 1146, QUBO x: [0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0], QUBO value: 38711.030000000006, MaxCut value: -22121.16\n",
      "Solution ID: 1147, QUBO x: [1, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1], QUBO value: -28744.579999999998, MaxCut value: 112790.06000000001\n",
      "Solution ID: 1148, QUBO x: [0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 0], QUBO value: 27650.450000000004, MaxCut value: 3.637978807091713e-12\n",
      "Solution ID: 1149, QUBO x: [0, 1, 0, 1, 0, 1, 1, 1, 0, 1, 1], QUBO value: -32644.25999999999, MaxCut value: 120589.42\n",
      "Solution ID: 1150, QUBO x: [0, 1, 0, 0, 0, 0, 0, 1, 1, 1, 1], QUBO value: -49217.95999999999, MaxCut value: 153736.82\n",
      "Solution ID: 1151, QUBO x: [0, 1, 0, 1, 1, 0, 1, 1, 1, 1, 1], QUBO value: -16590.86999999999, MaxCut value: 88482.64\n",
      "Solution ID: 1152, QUBO x: [0, 0, 0, 1, 0, 1, 0, 1, 1, 0, 0], QUBO value: -6068.769999999993, MaxCut value: 67438.44\n",
      "Solution ID: 1153, QUBO x: [0, 0, 0, 1, 1, 1, 0, 1, 0, 1, 1], QUBO value: -15498.739999999994, MaxCut value: 86298.38\n",
      "Solution ID: 1154, QUBO x: [1, 1, 0, 0, 1, 0, 0, 1, 0, 0, 1], QUBO value: -28744.57999999999, MaxCut value: 112790.06\n",
      "Solution ID: 1155, QUBO x: [0, 0, 0, 1, 0, 1, 0, 1, 1, 1, 1], QUBO value: -38157.37999999999, MaxCut value: 131615.66\n",
      "Solution ID: 1156, QUBO x: [0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0], QUBO value: -17146.519999999993, MaxCut value: 89593.94\n",
      "Solution ID: 1157, QUBO x: [0, 1, 0, 1, 0, 0, 1, 0, 1, 1, 0], QUBO value: -39805.15999999999, MaxCut value: 134911.22\n",
      "Solution ID: 1158, QUBO x: [0, 0, 0, 1, 0, 1, 1, 0, 0, 1, 0], QUBO value: -6085.939999999991, MaxCut value: 67472.78\n",
      "Solution ID: 1159, QUBO x: [1, 1, 1, 0, 0, 1, 1, 1, 0, 0, 1], QUBO value: -22659.639999999996, MaxCut value: 100620.18000000001\n",
      "Solution ID: 1160, QUBO x: [0, 0, 1, 1, 0, 1, 1, 0, 0, 1, 0], QUBO value: 4974.64000000001, MaxCut value: 45351.619999999995\n",
      "Solution ID: 1161, QUBO x: [1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0], QUBO value: -5530.28999999999, MaxCut value: 66361.48\n",
      "Solution ID: 1162, QUBO x: [0, 0, 1, 1, 1, 1, 1, 1, 0, 0, 1], QUBO value: -21583.679999999997, MaxCut value: 98468.26000000001\n",
      "Solution ID: 1163, QUBO x: [0, 0, 1, 0, 0, 1, 1, 1, 0, 0, 1], QUBO value: -43704.84, MaxCut value: 142710.58000000002\n",
      "Solution ID: 1164, QUBO x: [0, 0, 0, 0, 1, 1, 1, 0, 0, 1, 0], QUBO value: -6085.939999999991, MaxCut value: 67472.78\n",
      "Solution ID: 1165, QUBO x: [0, 1, 0, 1, 1, 0, 1, 1, 1, 1, 0], QUBO value: -23214.289999999997, MaxCut value: 101729.48000000001\n",
      "Solution ID: 1166, QUBO x: [0, 0, 0, 1, 1, 1, 1, 1, 0, 0, 1], QUBO value: -32644.25999999999, MaxCut value: 120589.42\n",
      "Solution ID: 1167, QUBO x: [1, 1, 1, 0, 0, 1, 1, 0, 0, 0, 1], QUBO value: -17129.349999999995, MaxCut value: 89559.6\n",
      "Solution ID: 1168, QUBO x: [1, 0, 0, 1, 0, 1, 1, 0, 1, 0, 0], QUBO value: -15498.740000000002, MaxCut value: 86298.38000000002\n",
      "Solution ID: 1169, QUBO x: [0, 0, 1, 1, 0, 0, 1, 0, 1, 0, 1], QUBO value: -33181.73999999999, MaxCut value: 121664.38\n",
      "Solution ID: 1170, QUBO x: [0, 0, 0, 0, 1, 1, 1, 0, 0, 0, 1], QUBO value: -27113.969999999998, MaxCut value: 109528.84000000001\n",
      "Solution ID: 1171, QUBO x: [1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 1], QUBO value: 55301.90000000001, MaxCut value: -55302.899999999994\n",
      "Solution ID: 1172, QUBO x: [1, 0, 0, 1, 0, 0, 1, 1, 0, 0, 0], QUBO value: -27096.8, MaxCut value: 109494.50000000001\n",
      "Solution ID: 1173, QUBO x: [0, 0, 0, 1, 0, 1, 1, 1, 0, 0, 0], QUBO value: -28207.099999999995, MaxCut value: 111715.1\n",
      "Solution ID: 1174, QUBO x: [0, 0, 1, 0, 1, 0, 0, 0, 1, 0, 1], QUBO value: -21566.50999999999, MaxCut value: 98433.92\n",
      "Solution ID: 1175, QUBO x: [0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 0], QUBO value: -50865.73999999999, MaxCut value: 157032.38\n",
      "Solution ID: 1176, QUBO x: [0, 1, 1, 0, 1, 0, 1, 0, 0, 1, 0], QUBO value: 4974.64000000001, MaxCut value: 45351.619999999995\n",
      "Solution ID: 1177, QUBO x: [1, 1, 1, 1, 0, 0, 0, 0, 1, 0, 1], QUBO value: -22676.809999999994, MaxCut value: 100654.52\n",
      "Solution ID: 1178, QUBO x: [0, 0, 0, 1, 0, 1, 1, 1, 0, 0, 1], QUBO value: -43704.84, MaxCut value: 142710.58000000002\n",
      "Solution ID: 1179, QUBO x: [0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1], QUBO value: -32627.089999999993, MaxCut value: 120555.08\n",
      "Solution ID: 1180, QUBO x: [1, 1, 0, 1, 1, 0, 0, 0, 1, 1, 0], QUBO value: -43704.84, MaxCut value: 142710.58000000002\n",
      "Solution ID: 1181, QUBO x: [0, 1, 0, 0, 1, 1, 1, 1, 0, 1, 0], QUBO value: -17146.519999999993, MaxCut value: 89593.94\n",
      "Solution ID: 1182, QUBO x: [0, 0, 0, 1, 0, 1, 1, 1, 0, 1, 1], QUBO value: -38174.54999999999, MaxCut value: 131650.0\n",
      "Solution ID: 1183, QUBO x: [1, 1, 1, 1, 1, 0, 1, 0, 0, 0, 0], QUBO value: -49217.95999999999, MaxCut value: 153736.82\n",
      "Solution ID: 1184, QUBO x: [0, 0, 1, 0, 1, 0, 0, 1, 0, 0, 0], QUBO value: 33180.740000000005, MaxCut value: -11060.579999999998\n",
      "Solution ID: 1185, QUBO x: [1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0], QUBO value: -16053.389999999996, MaxCut value: 87407.68000000001\n",
      "Solution ID: 1186, QUBO x: [0, 0, 0, 1, 0, 1, 1, 1, 1, 0, 0], QUBO value: -39805.15999999999, MaxCut value: 134911.22\n",
      "Solution ID: 1187, QUBO x: [0, 0, 1, 0, 0, 1, 1, 1, 1, 1, 1], QUBO value: -27651.449999999986, MaxCut value: 110603.79999999999\n",
      "Solution ID: 1188, QUBO x: [1, 0, 0, 1, 1, 1, 0, 1, 1, 0, 1], QUBO value: -6085.939999999991, MaxCut value: 67472.78\n",
      "Solution ID: 1189, QUBO x: [0, 0, 1, 1, 1, 1, 0, 0, 1, 1, 1], QUBO value: -21566.51, MaxCut value: 98433.92000000001\n",
      "Solution ID: 1190, QUBO x: [0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 0], QUBO value: -33737.39, MaxCut value: 122775.68000000001\n",
      "Solution ID: 1191, QUBO x: [0, 1, 0, 0, 1, 1, 1, 0, 1, 0, 0], QUBO value: -39805.15999999999, MaxCut value: 134911.22\n",
      "Solution ID: 1192, QUBO x: [0, 0, 1, 1, 1, 1, 0, 0, 1, 1, 0], QUBO value: -6068.769999999993, MaxCut value: 67438.44\n",
      "Solution ID: 1193, QUBO x: [1, 1, 1, 0, 1, 1, 0, 0, 1, 1, 1], QUBO value: -33737.39, MaxCut value: 122775.68000000001\n",
      "Solution ID: 1194, QUBO x: [0, 0, 1, 1, 1, 1, 0, 1, 0, 1, 1], QUBO value: -4438.159999999993, MaxCut value: 64177.22\n",
      "Solution ID: 1195, QUBO x: [0, 0, 1, 1, 0, 0, 0, 1, 0, 0, 1], QUBO value: -4438.159999999993, MaxCut value: 64177.22\n",
      "Solution ID: 1196, QUBO x: [1, 0, 1, 0, 0, 1, 1, 1, 0, 1, 0], QUBO value: -16036.219999999998, MaxCut value: 87373.34000000001\n",
      "Solution ID: 1197, QUBO x: [0, 0, 1, 0, 1, 0, 1, 1, 0, 1, 0], QUBO value: -17146.519999999993, MaxCut value: 89593.94\n",
      "Solution ID: 1198, QUBO x: [1, 1, 1, 0, 0, 1, 0, 0, 1, 0, 1], QUBO value: -17146.519999999993, MaxCut value: 89593.94\n",
      "Solution ID: 1199, QUBO x: [1, 0, 0, 0, 1, 1, 1, 0, 0, 0, 1], QUBO value: -11599.059999999994, MaxCut value: 78499.02\n",
      "Solution ID: 1200, QUBO x: [0, 0, 0, 1, 1, 0, 0, 0, 0, 0, 0], QUBO value: 49771.61000000001, MaxCut value: -44242.32\n",
      "Solution ID: 1201, QUBO x: [0, 0, 0, 1, 1, 0, 0, 0, 0, 1, 1], QUBO value: -4438.159999999993, MaxCut value: 64177.22\n",
      "Solution ID: 1202, QUBO x: [0, 0, 1, 1, 1, 0, 0, 1, 0, 1, 0], QUBO value: 27650.450000000004, MaxCut value: 7.275957614183426e-12\n",
      "Solution ID: 1203, QUBO x: [0, 0, 0, 1, 1, 0, 0, 1, 0, 1, 0], QUBO value: 16589.870000000006, MaxCut value: 22121.160000000003\n",
      "Solution ID: 1204, QUBO x: [1, 1, 0, 0, 1, 0, 0, 1, 1, 0, 1], QUBO value: 4974.64000000001, MaxCut value: 45351.619999999995\n",
      "Solution ID: 1205, QUBO x: [0, 0, 0, 1, 1, 0, 0, 1, 0, 1, 1], QUBO value: -21029.029999999995, MaxCut value: 97358.96\n",
      "Solution ID: 1206, QUBO x: [0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0], QUBO value: 11059.580000000009, MaxCut value: 33181.74\n",
      "Solution ID: 1207, QUBO x: [0, 1, 0, 1, 1, 0, 0, 0, 1, 1, 1], QUBO value: -32627.09, MaxCut value: 120555.08000000002\n",
      "Solution ID: 1208, QUBO x: [0, 0, 1, 1, 1, 1, 0, 0, 0, 1, 0], QUBO value: 49771.61, MaxCut value: -44242.31999999999\n",
      "Solution ID: 1209, QUBO x: [0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 0], QUBO value: -555.6499999999905, MaxCut value: 56412.2\n",
      "Solution ID: 1210, QUBO x: [1, 0, 0, 0, 1, 1, 0, 0, 0, 0, 0], QUBO value: -16590.86999999999, MaxCut value: 88482.64\n",
      "Solution ID: 1211, QUBO x: [0, 0, 0, 0, 1, 1, 1, 0, 0, 1, 1], QUBO value: -21583.679999999997, MaxCut value: 98468.26000000001\n",
      "Solution ID: 1212, QUBO x: [0, 0, 1, 1, 0, 1, 0, 1, 0, 1, 1], QUBO value: -15498.739999999994, MaxCut value: 86298.38\n",
      "Solution ID: 1213, QUBO x: [0, 0, 1, 0, 0, 1, 0, 1, 0, 1, 1], QUBO value: -26559.319999999996, MaxCut value: 108419.54000000001\n",
      "Solution ID: 1214, QUBO x: [0, 1, 1, 1, 1, 0, 1, 1, 0, 1, 0], QUBO value: -555.6499999999905, MaxCut value: 56412.2\n",
      "Solution ID: 1215, QUBO x: [0, 0, 0, 1, 1, 0, 1, 1, 0, 0, 0], QUBO value: -22676.809999999994, MaxCut value: 100654.52\n",
      "Solution ID: 1216, QUBO x: [1, 0, 1, 1, 1, 0, 0, 1, 0, 1, 1], QUBO value: -50865.73999999999, MaxCut value: 157032.38\n",
      "Solution ID: 1217, QUBO x: [0, 0, 0, 1, 1, 1, 0, 0, 0, 0, 0], QUBO value: 55301.90000000001, MaxCut value: -55302.9\n",
      "Solution ID: 1218, QUBO x: [0, 0, 1, 0, 1, 1, 0, 0, 1, 0, 0], QUBO value: -538.4799999999923, MaxCut value: 56377.86\n",
      "Solution ID: 1219, QUBO x: [1, 1, 1, 0, 0, 0, 0, 1, 1, 0, 0], QUBO value: -10523.099999999988, MaxCut value: 76347.09999999999\n",
      "Solution ID: 1220, QUBO x: [0, 0, 1, 0, 1, 0, 0, 1, 0, 1, 0], QUBO value: 16589.870000000006, MaxCut value: 22121.160000000003\n",
      "Solution ID: 1221, QUBO x: [0, 0, 0, 1, 0, 1, 1, 1, 0, 1, 0], QUBO value: -22676.809999999994, MaxCut value: 100654.52\n",
      "Solution ID: 1222, QUBO x: [0, 0, 0, 1, 1, 1, 0, 1, 1, 0, 0], QUBO value: 4991.810000000009, MaxCut value: 45317.28\n",
      "Solution ID: 1223, QUBO x: [0, 0, 0, 1, 1, 0, 1, 0, 1, 0, 0], QUBO value: -39805.15999999999, MaxCut value: 134911.22\n",
      "Solution ID: 1224, QUBO x: [1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0], QUBO value: 6084.940000000006, MaxCut value: 43131.020000000004\n",
      "Solution ID: 1225, QUBO x: [0, 0, 1, 1, 1, 1, 0, 1, 1, 0, 0], QUBO value: 16052.390000000007, MaxCut value: 23196.120000000003\n",
      "Solution ID: 1226, QUBO x: [0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1], QUBO value: -38712.029999999984, MaxCut value: 132724.96\n",
      "Solution ID: 1227, QUBO x: [0, 0, 0, 1, 1, 1, 1, 0, 0, 0, 0], QUBO value: -555.6499999999905, MaxCut value: 56412.2\n",
      "Solution ID: 1228, QUBO x: [0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1], QUBO value: -32627.089999999993, MaxCut value: 120555.08\n",
      "Solution ID: 1229, QUBO x: [0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1], QUBO value: -16053.389999999989, MaxCut value: 87407.68\n",
      "Solution ID: 1230, QUBO x: [0, 0, 1, 0, 0, 0, 1, 1, 1, 0, 0], QUBO value: -45335.44999999998, MaxCut value: 145971.8\n",
      "Solution ID: 1231, QUBO x: [0, 0, 1, 1, 1, 0, 1, 1, 0, 0, 1], QUBO value: -27113.969999999998, MaxCut value: 109528.84000000001\n",
      "Solution ID: 1232, QUBO x: [1, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0], QUBO value: -22121.159999999993, MaxCut value: 99543.22\n",
      "Solution ID: 1233, QUBO x: [1, 0, 1, 1, 0, 0, 0, 0, 0, 1, 0], QUBO value: -27651.449999999993, MaxCut value: 110603.8\n",
      "Solution ID: 1234, QUBO x: [0, 0, 1, 0, 0, 1, 1, 0, 0, 0, 1], QUBO value: -27113.969999999998, MaxCut value: 109528.84000000001\n",
      "Solution ID: 1235, QUBO x: [1, 0, 0, 1, 0, 1, 0, 1, 1, 0, 0], QUBO value: -10523.099999999995, MaxCut value: 76347.1\n",
      "Solution ID: 1236, QUBO x: [0, 0, 0, 1, 1, 1, 1, 1, 1, 0, 0], QUBO value: -28744.57999999999, MaxCut value: 112790.06\n",
      "Solution ID: 1237, QUBO x: [0, 1, 1, 1, 1, 1, 1, 0, 1, 0, 1], QUBO value: -11060.57999999999, MaxCut value: 77422.06\n",
      "Solution ID: 1238, QUBO x: [0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0], QUBO value: -17129.349999999995, MaxCut value: 89559.6\n",
      "Solution ID: 1239, QUBO x: [1, 0, 0, 0, 1, 1, 1, 1, 1, 0, 0], QUBO value: 1092.1300000000047, MaxCut value: 53116.64000000001\n",
      "Solution ID: 1240, QUBO x: [0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1], QUBO value: -32627.09, MaxCut value: 120555.08000000002\n",
      "Solution ID: 1241, QUBO x: [0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1], QUBO value: -16590.86999999999, MaxCut value: 88482.64\n",
      "Solution ID: 1242, QUBO x: [0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 0], QUBO value: -50865.73999999999, MaxCut value: 157032.38\n",
      "Solution ID: 1243, QUBO x: [0, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0], QUBO value: 44241.32000000001, MaxCut value: -33181.74\n",
      "Solution ID: 1244, QUBO x: [0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0], QUBO value: -17146.519999999993, MaxCut value: 89593.94\n",
      "Solution ID: 1245, QUBO x: [1, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0], QUBO value: -4975.639999999996, MaxCut value: 65252.18000000001\n",
      "Solution ID: 1246, QUBO x: [0, 1, 0, 0, 1, 1, 0, 1, 1, 1, 0], QUBO value: -17129.349999999995, MaxCut value: 89559.6\n",
      "Solution ID: 1247, QUBO x: [0, 1, 0, 1, 1, 0, 0, 1, 1, 0, 1], QUBO value: -10505.929999999997, MaxCut value: 76312.76000000001\n",
      "Solution ID: 1248, QUBO x: [0, 0, 1, 0, 1, 0, 1, 0, 1, 0, 1], QUBO value: -33181.73999999999, MaxCut value: 121664.38\n",
      "Solution ID: 1249, QUBO x: [0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0], QUBO value: -39267.67999999999, MaxCut value: 133836.26\n",
      "Solution ID: 1250, QUBO x: [1, 1, 0, 0, 1, 0, 1, 0, 1, 1, 1], QUBO value: 38711.030000000006, MaxCut value: -22121.16\n",
      "Solution ID: 1251, QUBO x: [0, 1, 1, 1, 0, 0, 1, 0, 0, 0, 0], QUBO value: -555.6499999999905, MaxCut value: 56412.2\n",
      "Solution ID: 1252, QUBO x: [1, 1, 1, 1, 0, 1, 0, 1, 0, 0, 1], QUBO value: -45335.44999999998, MaxCut value: 145971.8\n",
      "Solution ID: 1253, QUBO x: [0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 0], QUBO value: -11599.059999999994, MaxCut value: 78499.02\n",
      "Solution ID: 1254, QUBO x: [0, 0, 1, 1, 1, 0, 0, 0, 0, 0, 1], QUBO value: 23213.290000000008, MaxCut value: 8874.32\n",
      "Solution ID: 1255, QUBO x: [0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0], QUBO value: -11616.229999999992, MaxCut value: 78533.36\n",
      "Solution ID: 1256, QUBO x: [1, 0, 1, 1, 1, 0, 1, 0, 1, 0, 1], QUBO value: 5529.290000000008, MaxCut value: 44242.32\n",
      "Solution ID: 1257, QUBO x: [0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0], QUBO value: 22120.160000000007, MaxCut value: 11060.58\n",
      "Solution ID: 1258, QUBO x: [0, 1, 1, 0, 1, 1, 1, 1, 0, 1, 1], QUBO value: -21583.679999999997, MaxCut value: 98468.26000000001\n",
      "Solution ID: 1259, QUBO x: [0, 1, 0, 0, 0, 1, 0, 1, 0, 1, 1], QUBO value: -32089.609999999997, MaxCut value: 119480.12000000001\n",
      "Solution ID: 1260, QUBO x: [0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0], QUBO value: -11616.229999999992, MaxCut value: 78533.36\n",
      "Solution ID: 1261, QUBO x: [0, 0, 1, 0, 1, 1, 1, 1, 0, 0, 0], QUBO value: -17146.519999999993, MaxCut value: 89593.94\n",
      "Solution ID: 1262, QUBO x: [1, 1, 1, 1, 1, 1, 0, 0, 1, 1, 1], QUBO value: -44797.96999999999, MaxCut value: 144896.84\n",
      "Solution ID: 1263, QUBO x: [0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0], QUBO value: -0.9999999999890861, MaxCut value: 55302.899999999994\n",
      "Solution ID: 1264, QUBO x: [1, 0, 0, 1, 0, 0, 1, 0, 0, 0, 0], QUBO value: -21566.51, MaxCut value: 98433.92000000001\n",
      "Solution ID: 1265, QUBO x: [0, 0, 1, 0, 0, 1, 0, 0, 1, 0, 1], QUBO value: -27096.8, MaxCut value: 109494.50000000001\n",
      "Solution ID: 1266, QUBO x: [0, 1, 1, 0, 1, 1, 0, 1, 1, 1, 0], QUBO value: -6068.769999999993, MaxCut value: 67438.44\n",
      "Solution ID: 1267, QUBO x: [1, 1, 1, 1, 0, 1, 1, 1, 0, 0, 0], QUBO value: -49217.95999999999, MaxCut value: 153736.82\n",
      "Solution ID: 1268, QUBO x: [0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1], QUBO value: -21566.51, MaxCut value: 98433.92000000001\n",
      "Solution ID: 1269, QUBO x: [0, 1, 1, 1, 0, 1, 1, 0, 0, 1, 1], QUBO value: -4992.809999999994, MaxCut value: 65286.520000000004\n",
      "Solution ID: 1270, QUBO x: [0, 0, 1, 1, 0, 0, 0, 0, 0, 0, 0], QUBO value: 49771.61000000001, MaxCut value: -44242.32\n",
      "Solution ID: 1271, QUBO x: [0, 1, 0, 0, 1, 1, 0, 1, 1, 0, 0], QUBO value: -538.4799999999923, MaxCut value: 56377.86\n",
      "Solution ID: 1272, QUBO x: [1, 1, 0, 1, 1, 0, 0, 1, 1, 0, 1], QUBO value: -6085.939999999991, MaxCut value: 67472.78\n",
      "Solution ID: 1273, QUBO x: [1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1], QUBO value: -555.6499999999905, MaxCut value: 56412.2\n",
      "Solution ID: 1274, QUBO x: [0, 0, 1, 0, 1, 1, 1, 1, 0, 0, 1], QUBO value: -32644.25999999999, MaxCut value: 120589.42\n",
      "Solution ID: 1275, QUBO x: [0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0], QUBO value: -22676.809999999994, MaxCut value: 100654.52\n",
      "Solution ID: 1276, QUBO x: [0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 1], QUBO value: -32089.609999999997, MaxCut value: 119480.12000000001\n",
      "Solution ID: 1277, QUBO x: [0, 1, 0, 0, 1, 1, 0, 1, 1, 0, 1], QUBO value: -16036.219999999998, MaxCut value: 87373.34000000001\n",
      "Solution ID: 1278, QUBO x: [1, 1, 1, 0, 1, 0, 1, 0, 0, 1, 1], QUBO value: -6068.769999999993, MaxCut value: 67438.44\n",
      "Solution ID: 1279, QUBO x: [0, 1, 0, 0, 1, 1, 1, 0, 0, 0, 0], QUBO value: -6085.939999999991, MaxCut value: 67472.78\n",
      "Solution ID: 1280, QUBO x: [0, 1, 0, 0, 1, 1, 1, 0, 0, 0, 1], QUBO value: -21583.67999999999, MaxCut value: 98468.26\n",
      "Solution ID: 1281, QUBO x: [0, 1, 1, 1, 1, 0, 0, 1, 1, 1, 0], QUBO value: -538.4799999999923, MaxCut value: 56377.86\n",
      "Solution ID: 1282, QUBO x: [0, 1, 0, 0, 1, 1, 1, 0, 0, 1, 0], QUBO value: -555.6499999999905, MaxCut value: 56412.2\n",
      "Solution ID: 1283, QUBO x: [0, 1, 0, 0, 1, 1, 1, 0, 0, 1, 1], QUBO value: -16053.389999999989, MaxCut value: 87407.68\n",
      "Solution ID: 1284, QUBO x: [1, 1, 1, 1, 0, 0, 1, 0, 0, 0, 1], QUBO value: -22659.639999999996, MaxCut value: 100620.18000000001\n",
      "Solution ID: 1285, QUBO x: [1, 1, 1, 0, 0, 1, 1, 1, 1, 1, 1], QUBO value: 49771.61000000001, MaxCut value: -44242.32\n",
      "Solution ID: 1286, QUBO x: [0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 1], QUBO value: -27096.799999999992, MaxCut value: 109494.5\n",
      "Solution ID: 1287, QUBO x: [0, 1, 0, 0, 1, 1, 1, 1, 0, 0, 1], QUBO value: -38174.54999999999, MaxCut value: 131650.0\n",
      "Solution ID: 1288, QUBO x: [1, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1], QUBO value: -538.4799999999923, MaxCut value: 56377.86\n",
      "Solution ID: 1289, QUBO x: [0, 0, 0, 1, 0, 1, 1, 1, 1, 1, 1], QUBO value: -27651.449999999986, MaxCut value: 110603.79999999999\n",
      "Solution ID: 1290, QUBO x: [0, 1, 0, 1, 1, 1, 1, 0, 0, 0, 0], QUBO value: 4974.64000000001, MaxCut value: 45351.619999999995\n",
      "Solution ID: 1291, QUBO x: [0, 1, 1, 1, 0, 0, 1, 1, 1, 0, 0], QUBO value: -28744.579999999998, MaxCut value: 112790.06000000001\n",
      "Solution ID: 1292, QUBO x: [0, 0, 1, 1, 0, 0, 0, 1, 1, 0, 1], QUBO value: -16036.219999999998, MaxCut value: 87373.34000000001\n",
      "Solution ID: 1293, QUBO x: [0, 1, 0, 0, 1, 1, 1, 1, 1, 1, 0], QUBO value: -28744.57999999999, MaxCut value: 112790.06\n",
      "Solution ID: 1294, QUBO x: [0, 1, 1, 1, 0, 1, 1, 0, 0, 0, 0], QUBO value: 4974.64000000001, MaxCut value: 45351.619999999995\n",
      "Solution ID: 1295, QUBO x: [1, 1, 1, 1, 1, 1, 0, 1, 0, 1, 1], QUBO value: -61926.31999999999, MaxCut value: 179153.54\n",
      "Solution ID: 1296, QUBO x: [1, 0, 1, 0, 0, 1, 0, 1, 1, 1, 0], QUBO value: -16053.389999999996, MaxCut value: 87407.68000000001\n",
      "Solution ID: 1297, QUBO x: [0, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1], QUBO value: 6622.420000000009, MaxCut value: 42056.06\n",
      "Solution ID: 1298, QUBO x: [0, 1, 1, 1, 1, 0, 1, 1, 1, 0, 1], QUBO value: -11060.57999999999, MaxCut value: 77422.06\n",
      "Solution ID: 1299, QUBO x: [0, 1, 0, 1, 0, 0, 0, 0, 0, 1, 1], QUBO value: -9968.449999999993, MaxCut value: 75237.8\n",
      "Solution ID: 1300, QUBO x: [0, 1, 0, 0, 1, 0, 0, 1, 0, 1, 1], QUBO value: -26559.319999999996, MaxCut value: 108419.54000000001\n",
      "Solution ID: 1301, QUBO x: [0, 1, 0, 1, 0, 0, 0, 0, 1, 0, 1], QUBO value: -27096.8, MaxCut value: 109494.50000000001\n",
      "Solution ID: 1302, QUBO x: [1, 0, 0, 0, 1, 1, 0, 1, 1, 1, 0], QUBO value: -16053.389999999996, MaxCut value: 87407.68000000001\n",
      "Solution ID: 1303, QUBO x: [0, 1, 0, 1, 0, 0, 1, 0, 0, 0, 0], QUBO value: -11616.229999999992, MaxCut value: 78533.36\n",
      "Solution ID: 1304, QUBO x: [0, 0, 1, 1, 0, 1, 0, 1, 1, 0, 0], QUBO value: 4991.810000000009, MaxCut value: 45317.28\n",
      "Solution ID: 1305, QUBO x: [0, 1, 0, 1, 0, 1, 0, 1, 1, 1, 0], QUBO value: -17129.349999999995, MaxCut value: 89559.6\n",
      "Solution ID: 1306, QUBO x: [0, 1, 0, 1, 1, 0, 0, 1, 0, 1, 1], QUBO value: -15498.740000000002, MaxCut value: 86298.38000000002\n",
      "Solution ID: 1307, QUBO x: [1, 0, 0, 0, 0, 1, 1, 1, 0, 0, 1], QUBO value: -6068.769999999993, MaxCut value: 67438.44\n",
      "Solution ID: 1308, QUBO x: [0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 0], QUBO value: 11059.580000000005, MaxCut value: 33181.740000000005\n",
      "Solution ID: 1309, QUBO x: [0, 1, 0, 1, 0, 0, 0, 0, 1, 1, 1], QUBO value: -43687.67, MaxCut value: 142676.24000000002\n",
      "Solution ID: 1310, QUBO x: [0, 1, 0, 1, 1, 1, 0, 1, 1, 0, 1], QUBO value: -4975.639999999996, MaxCut value: 65252.18000000001\n",
      "Solution ID: 1311, QUBO x: [0, 1, 0, 1, 0, 0, 0, 1, 0, 1, 1], QUBO value: -26559.319999999996, MaxCut value: 108419.54000000001\n",
      "Solution ID: 1312, QUBO x: [0, 0, 1, 1, 0, 1, 1, 1, 0, 1, 1], QUBO value: -27113.96999999999, MaxCut value: 109528.84\n",
      "Solution ID: 1313, QUBO x: [0, 1, 0, 1, 1, 1, 1, 1, 0, 0, 1], QUBO value: -27113.969999999998, MaxCut value: 109528.84000000001\n",
      "Solution ID: 1314, QUBO x: [0, 1, 0, 1, 0, 0, 0, 1, 1, 1, 1], QUBO value: -38157.37999999999, MaxCut value: 131615.66\n",
      "Solution ID: 1315, QUBO x: [0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1], QUBO value: -26559.319999999996, MaxCut value: 108419.54000000001\n",
      "Solution ID: 1316, QUBO x: [0, 1, 0, 1, 1, 1, 1, 1, 1, 1, 1], QUBO value: -11060.57999999999, MaxCut value: 77422.06\n",
      "Solution ID: 1317, QUBO x: [0, 1, 0, 1, 0, 0, 1, 0, 0, 1, 0], QUBO value: -6085.939999999991, MaxCut value: 67472.78\n",
      "Solution ID: 1318, QUBO x: [1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0], QUBO value: -10505.929999999997, MaxCut value: 76312.76000000001\n",
      "Solution ID: 1319, QUBO x: [1, 0, 1, 1, 1, 0, 1, 1, 0, 1, 0], QUBO value: -32627.089999999993, MaxCut value: 120555.08\n",
      "Solution ID: 1320, QUBO x: [1, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1], QUBO value: -17683.999999999996, MaxCut value: 90668.90000000001\n",
      "Solution ID: 1321, QUBO x: [0, 1, 0, 1, 0, 0, 1, 0, 0, 1, 1], QUBO value: -21583.679999999997, MaxCut value: 98468.26000000001\n",
      "Solution ID: 1322, QUBO x: [1, 1, 1, 1, 0, 0, 1, 0, 1, 1, 0], QUBO value: -9968.449999999993, MaxCut value: 75237.8\n",
      "Solution ID: 1323, QUBO x: [0, 0, 1, 0, 1, 0, 0, 0, 1, 1, 1], QUBO value: -38157.37999999999, MaxCut value: 131615.66\n",
      "Solution ID: 1324, QUBO x: [0, 1, 0, 1, 0, 0, 1, 0, 1, 0, 0], QUBO value: -45335.44999999998, MaxCut value: 145971.8\n",
      "Solution ID: 1325, QUBO x: [1, 1, 1, 1, 0, 1, 1, 0, 0, 1, 1], QUBO value: -11599.059999999994, MaxCut value: 78499.02\n",
      "Solution ID: 1326, QUBO x: [1, 1, 1, 0, 1, 1, 1, 1, 0, 0, 0], QUBO value: -49217.95999999999, MaxCut value: 153736.82\n",
      "Solution ID: 1327, QUBO x: [0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1], QUBO value: -4975.639999999996, MaxCut value: 65252.18000000001\n",
      "Solution ID: 1328, QUBO x: [0, 1, 0, 1, 0, 0, 1, 1, 0, 1, 1], QUBO value: -38174.54999999999, MaxCut value: 131650.0\n",
      "Solution ID: 1329, QUBO x: [0, 1, 0, 0, 1, 1, 0, 1, 0, 1, 0], QUBO value: 16589.870000000006, MaxCut value: 22121.160000000003\n",
      "Solution ID: 1330, QUBO x: [0, 1, 0, 1, 0, 1, 0, 0, 0, 0, 1], QUBO value: 12152.710000000008, MaxCut value: 30995.48\n",
      "Solution ID: 1331, QUBO x: [1, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1], QUBO value: 16052.390000000007, MaxCut value: 23196.120000000003\n",
      "Solution ID: 1332, QUBO x: [0, 1, 0, 1, 0, 1, 0, 0, 0, 1, 1], QUBO value: -4438.159999999993, MaxCut value: 64177.22\n",
      "Solution ID: 1333, QUBO x: [0, 1, 0, 1, 1, 0, 1, 0, 1, 0, 1], QUBO value: -27651.449999999993, MaxCut value: 110603.8\n",
      "Solution ID: 1334, QUBO x: [0, 0, 1, 0, 1, 0, 0, 0, 0, 0, 1], QUBO value: 12152.710000000008, MaxCut value: 30995.48\n",
      "Solution ID: 1335, QUBO x: [0, 1, 0, 1, 0, 1, 0, 0, 1, 0, 0], QUBO value: -6068.769999999993, MaxCut value: 67438.44\n",
      "Solution ID: 1336, QUBO x: [0, 1, 0, 1, 0, 1, 0, 1, 1, 1, 1], QUBO value: -32627.09, MaxCut value: 120555.08000000002\n",
      "Solution ID: 1337, QUBO x: [1, 0, 1, 0, 0, 0, 1, 1, 0, 1, 1], QUBO value: 4991.810000000009, MaxCut value: 45317.28\n",
      "Solution ID: 1338, QUBO x: [0, 1, 0, 1, 0, 1, 1, 0, 0, 0, 0], QUBO value: -6085.939999999991, MaxCut value: 67472.78\n",
      "Solution ID: 1339, QUBO x: [1, 1, 1, 1, 0, 1, 1, 0, 1, 0, 1], QUBO value: 5529.290000000008, MaxCut value: 44242.32\n",
      "Solution ID: 1340, QUBO x: [1, 1, 0, 0, 0, 0, 1, 1, 1, 0, 1], QUBO value: 49771.61, MaxCut value: -44242.31999999999\n",
      "Solution ID: 1341, QUBO x: [0, 1, 0, 1, 0, 1, 1, 0, 0, 1, 0], QUBO value: -555.6499999999905, MaxCut value: 56412.2\n",
      "Solution ID: 1342, QUBO x: [1, 0, 1, 0, 1, 0, 0, 0, 1, 0, 1], QUBO value: -17146.519999999993, MaxCut value: 89593.94\n",
      "Solution ID: 1343, QUBO x: [0, 1, 0, 1, 0, 1, 1, 0, 0, 1, 1], QUBO value: -16053.389999999989, MaxCut value: 87407.68\n",
      "Solution ID: 1344, QUBO x: [0, 1, 0, 1, 0, 1, 1, 0, 1, 1, 0], QUBO value: -34274.869999999995, MaxCut value: 123850.64\n",
      "Solution ID: 1345, QUBO x: [1, 0, 1, 1, 1, 1, 0, 1, 1, 1, 0], QUBO value: -38174.54999999999, MaxCut value: 131650.0\n",
      "Solution ID: 1346, QUBO x: [1, 0, 1, 1, 0, 0, 0, 1, 1, 1, 0], QUBO value: -21583.67999999999, MaxCut value: 98468.26\n",
      "Solution ID: 1347, QUBO x: [0, 1, 0, 1, 0, 1, 1, 0, 1, 1, 1], QUBO value: -27651.449999999993, MaxCut value: 110603.8\n",
      "Solution ID: 1348, QUBO x: [0, 1, 1, 1, 1, 1, 0, 1, 0, 0, 1], QUBO value: 17683.000000000007, MaxCut value: 19934.899999999998\n",
      "Solution ID: 1349, QUBO x: [0, 1, 0, 1, 0, 1, 1, 1, 0, 0, 0], QUBO value: -22676.809999999994, MaxCut value: 100654.52\n",
      "Solution ID: 1350, QUBO x: [0, 1, 0, 1, 0, 1, 1, 1, 0, 0, 1], QUBO value: -38174.54999999999, MaxCut value: 131650.0\n",
      "Solution ID: 1351, QUBO x: [1, 0, 0, 1, 1, 1, 0, 1, 0, 1, 1], QUBO value: -45335.44999999998, MaxCut value: 145971.8\n",
      "Solution ID: 1352, QUBO x: [0, 1, 0, 1, 0, 1, 1, 1, 1, 0, 0], QUBO value: -34274.869999999995, MaxCut value: 123850.64\n",
      "Solution ID: 1353, QUBO x: [1, 1, 0, 0, 1, 1, 0, 1, 0, 1, 1], QUBO value: -39805.15999999999, MaxCut value: 134911.22\n",
      "Solution ID: 1354, QUBO x: [0, 1, 0, 1, 0, 1, 1, 1, 1, 1, 0], QUBO value: -28744.57999999999, MaxCut value: 112790.06\n",
      "Solution ID: 1355, QUBO x: [1, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1], QUBO value: -6085.939999999991, MaxCut value: 67472.78\n",
      "Solution ID: 1356, QUBO x: [0, 1, 0, 1, 1, 0, 0, 0, 0, 1, 0], QUBO value: 38711.030000000006, MaxCut value: -22121.159999999993\n",
      "Solution ID: 1357, QUBO x: [0, 1, 0, 1, 1, 1, 1, 0, 1, 0, 0], QUBO value: -28744.579999999998, MaxCut value: 112790.06000000001\n",
      "Solution ID: 1358, QUBO x: [1, 1, 0, 1, 0, 0, 0, 1, 1, 1, 1], QUBO value: -555.6499999999905, MaxCut value: 56412.2\n",
      "Solution ID: 1359, QUBO x: [0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0], QUBO value: -28207.099999999995, MaxCut value: 111715.1\n",
      "Solution ID: 1360, QUBO x: [0, 1, 1, 0, 0, 1, 1, 1, 0, 0, 1], QUBO value: -38174.54999999999, MaxCut value: 131650.0\n",
      "Solution ID: 1361, QUBO x: [0, 1, 0, 1, 0, 0, 1, 1, 0, 0, 0], QUBO value: -28207.099999999995, MaxCut value: 111715.1\n",
      "Solution ID: 1362, QUBO x: [0, 1, 0, 1, 1, 0, 0, 0, 0, 1, 1], QUBO value: 1092.1300000000047, MaxCut value: 53116.64000000001\n",
      "Solution ID: 1363, QUBO x: [1, 0, 1, 0, 1, 0, 1, 1, 0, 0, 1], QUBO value: -22659.639999999996, MaxCut value: 100620.18000000001\n",
      "Solution ID: 1364, QUBO x: [0, 1, 0, 1, 1, 0, 0, 0, 1, 0, 0], QUBO value: -538.4799999999923, MaxCut value: 56377.86\n",
      "Solution ID: 1365, QUBO x: [0, 0, 1, 0, 0, 0, 0, 0, 1, 1, 1], QUBO value: -49217.95999999999, MaxCut value: 153736.82\n",
      "Solution ID: 1366, QUBO x: [0, 1, 0, 1, 1, 0, 0, 1, 0, 0, 1], QUBO value: 1092.1300000000047, MaxCut value: 53116.64000000001\n",
      "Solution ID: 1367, QUBO x: [0, 1, 0, 1, 1, 0, 0, 1, 1, 0, 0], QUBO value: 4991.810000000005, MaxCut value: 45317.280000000006\n",
      "Solution ID: 1368, QUBO x: [0, 1, 0, 1, 1, 0, 0, 1, 1, 1, 0], QUBO value: -11599.059999999994, MaxCut value: 78499.02\n",
      "Solution ID: 1369, QUBO x: [0, 1, 0, 1, 1, 0, 0, 1, 1, 1, 1], QUBO value: -27096.8, MaxCut value: 109494.50000000001\n",
      "Solution ID: 1370, QUBO x: [1, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1], QUBO value: 11059.580000000005, MaxCut value: 33181.740000000005\n",
      "Solution ID: 1371, QUBO x: [0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1], QUBO value: -27651.449999999986, MaxCut value: 110603.79999999999\n",
      "Solution ID: 1372, QUBO x: [0, 0, 1, 0, 1, 1, 1, 0, 0, 0, 1], QUBO value: -16053.389999999989, MaxCut value: 87407.68\n",
      "Solution ID: 1373, QUBO x: [0, 1, 0, 1, 1, 1, 1, 1, 0, 1, 0], QUBO value: -6085.939999999991, MaxCut value: 67472.78\n",
      "Solution ID: 1374, QUBO x: [0, 1, 0, 1, 1, 1, 0, 1, 0, 1, 0], QUBO value: 27650.450000000004, MaxCut value: 7.275957614183426e-12\n",
      "Solution ID: 1375, QUBO x: [1, 1, 1, 1, 0, 0, 1, 0, 1, 0, 1], QUBO value: 11059.580000000005, MaxCut value: 33181.740000000005\n",
      "Solution ID: 1376, QUBO x: [0, 1, 0, 1, 1, 0, 1, 0, 0, 1, 0], QUBO value: 4974.64000000001, MaxCut value: 45351.619999999995\n",
      "Solution ID: 1377, QUBO x: [1, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0], QUBO value: -11060.57999999999, MaxCut value: 77422.06\n",
      "Solution ID: 1378, QUBO x: [0, 1, 1, 0, 0, 0, 1, 1, 0, 0, 1], QUBO value: -43704.84, MaxCut value: 142710.58000000002\n",
      "Solution ID: 1379, QUBO x: [1, 1, 0, 1, 0, 1, 1, 0, 1, 1, 1], QUBO value: 33180.740000000005, MaxCut value: -11060.579999999998\n",
      "Solution ID: 1380, QUBO x: [0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0], QUBO value: -11599.059999999994, MaxCut value: 78499.02\n",
      "Solution ID: 1381, QUBO x: [0, 1, 0, 1, 1, 0, 1, 0, 1, 0, 0], QUBO value: -34274.869999999995, MaxCut value: 123850.64000000001\n",
      "Solution ID: 1382, QUBO x: [0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 0], QUBO value: -17129.349999999995, MaxCut value: 89559.6\n",
      "Solution ID: 1383, QUBO x: [0, 1, 0, 1, 1, 0, 1, 0, 0, 0, 0], QUBO value: -555.6499999999905, MaxCut value: 56412.2\n",
      "Solution ID: 1384, QUBO x: [1, 0, 0, 0, 1, 0, 0, 1, 1, 1, 1], QUBO value: 4974.64000000001, MaxCut value: 45351.619999999995\n",
      "Solution ID: 1385, QUBO x: [0, 1, 0, 1, 1, 0, 1, 1, 0, 0, 0], QUBO value: -17146.519999999993, MaxCut value: 89593.94\n",
      "Solution ID: 1386, QUBO x: [1, 1, 1, 1, 0, 0, 0, 1, 0, 0, 1], QUBO value: -39805.15999999999, MaxCut value: 134911.22\n",
      "Solution ID: 1387, QUBO x: [0, 0, 1, 1, 1, 1, 1, 0, 0, 0, 0], QUBO value: 10504.930000000011, MaxCut value: 34291.03999999999\n",
      "Solution ID: 1388, QUBO x: [0, 1, 1, 0, 1, 0, 1, 1, 0, 0, 1], QUBO value: -32644.26, MaxCut value: 120589.42000000001\n",
      "Solution ID: 1389, QUBO x: [1, 1, 1, 0, 0, 1, 0, 0, 0, 0, 0], QUBO value: -22121.159999999985, MaxCut value: 99543.21999999999\n",
      "Solution ID: 1390, QUBO x: [1, 1, 0, 1, 1, 0, 1, 1, 1, 0, 1], QUBO value: 27650.450000000004, MaxCut value: 3.637978807091713e-12\n",
      "Solution ID: 1391, QUBO x: [0, 1, 0, 0, 1, 0, 1, 0, 0, 0, 1], QUBO value: -27113.969999999998, MaxCut value: 109528.84000000001\n",
      "Solution ID: 1392, QUBO x: [0, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1], QUBO value: -27113.969999999998, MaxCut value: 109528.84000000001\n",
      "Solution ID: 1393, QUBO x: [0, 0, 1, 1, 0, 0, 1, 1, 0, 1, 1], QUBO value: -32644.25999999999, MaxCut value: 120589.42\n",
      "Solution ID: 1394, QUBO x: [0, 1, 0, 1, 1, 1, 0, 0, 0, 0, 0], QUBO value: 60832.19, MaxCut value: -66363.48\n",
      "Solution ID: 1395, QUBO x: [0, 1, 1, 1, 1, 1, 0, 1, 0, 0, 0], QUBO value: 55301.90000000001, MaxCut value: -55302.899999999994\n",
      "Solution ID: 1396, QUBO x: [0, 1, 0, 1, 1, 1, 0, 0, 0, 1, 1], QUBO value: 6622.4200000000055, MaxCut value: 42056.060000000005\n",
      "Solution ID: 1397, QUBO x: [0, 1, 0, 1, 1, 1, 0, 0, 1, 0, 0], QUBO value: 4991.810000000009, MaxCut value: 45317.28\n",
      "Solution ID: 1398, QUBO x: [0, 1, 0, 1, 1, 1, 0, 0, 1, 0, 1], QUBO value: -10505.929999999997, MaxCut value: 76312.76000000001\n",
      "Solution ID: 1399, QUBO x: [0, 1, 0, 1, 1, 1, 0, 0, 1, 1, 0], QUBO value: -11599.059999999994, MaxCut value: 78499.02\n",
      "Solution ID: 1400, QUBO x: [1, 1, 0, 0, 1, 1, 1, 0, 1, 1, 0], QUBO value: -4438.159999999993, MaxCut value: 64177.22\n",
      "Solution ID: 1401, QUBO x: [0, 1, 0, 0, 1, 0, 1, 1, 1, 1, 0], QUBO value: -34274.869999999995, MaxCut value: 123850.64\n",
      "Solution ID: 1402, QUBO x: [0, 1, 0, 1, 1, 1, 0, 0, 1, 1, 1], QUBO value: -27096.8, MaxCut value: 109494.50000000001\n",
      "Solution ID: 1403, QUBO x: [1, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1], QUBO value: -23214.289999999997, MaxCut value: 101729.48000000001\n",
      "Solution ID: 1404, QUBO x: [0, 1, 0, 1, 1, 1, 0, 1, 0, 0, 1], QUBO value: 6622.4200000000055, MaxCut value: 42056.060000000005\n",
      "Solution ID: 1405, QUBO x: [0, 1, 0, 1, 1, 1, 0, 1, 0, 1, 1], QUBO value: -9968.449999999993, MaxCut value: 75237.8\n",
      "Solution ID: 1406, QUBO x: [0, 0, 1, 0, 0, 1, 1, 1, 0, 1, 0], QUBO value: -22676.809999999994, MaxCut value: 100654.52\n",
      "Solution ID: 1407, QUBO x: [0, 0, 0, 1, 0, 1, 1, 0, 0, 1, 1], QUBO value: -21583.679999999997, MaxCut value: 98468.26000000001\n",
      "Solution ID: 1408, QUBO x: [0, 1, 0, 1, 1, 1, 0, 1, 1, 0, 0], QUBO value: 10522.100000000006, MaxCut value: 34256.700000000004\n",
      "Solution ID: 1409, QUBO x: [1, 0, 1, 1, 0, 0, 1, 1, 0, 1, 0], QUBO value: -21566.50999999999, MaxCut value: 98433.92\n",
      "Solution ID: 1410, QUBO x: [0, 1, 0, 0, 1, 1, 0, 1, 0, 0, 1], QUBO value: -4438.159999999993, MaxCut value: 64177.22\n",
      "Solution ID: 1411, QUBO x: [0, 1, 0, 1, 1, 1, 0, 1, 1, 1, 0], QUBO value: -6068.769999999993, MaxCut value: 67438.44\n",
      "Solution ID: 1412, QUBO x: [0, 0, 1, 1, 1, 1, 1, 0, 0, 1, 1], QUBO value: 537.4800000000068, MaxCut value: 54225.94\n",
      "Solution ID: 1413, QUBO x: [0, 1, 0, 1, 1, 1, 0, 1, 1, 1, 1], QUBO value: -21566.51, MaxCut value: 98433.92000000001\n",
      "Solution ID: 1414, QUBO x: [0, 1, 1, 1, 0, 0, 0, 1, 0, 1, 1], QUBO value: -15498.740000000002, MaxCut value: 86298.38000000002\n",
      "Solution ID: 1415, QUBO x: [0, 1, 0, 1, 1, 1, 1, 0, 0, 1, 0], QUBO value: 10504.930000000008, MaxCut value: 34291.04\n",
      "Solution ID: 1416, QUBO x: [1, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0], QUBO value: -22121.159999999993, MaxCut value: 99543.22\n",
      "Solution ID: 1417, QUBO x: [0, 0, 0, 0, 1, 1, 1, 1, 0, 0, 1], QUBO value: -43704.84, MaxCut value: 142710.58000000002\n",
      "Solution ID: 1418, QUBO x: [0, 1, 0, 1, 1, 1, 1, 0, 0, 1, 1], QUBO value: -4992.809999999994, MaxCut value: 65286.520000000004\n",
      "Solution ID: 1419, QUBO x: [0, 1, 0, 1, 1, 1, 1, 0, 1, 1, 0], QUBO value: -23214.289999999997, MaxCut value: 101729.48000000001\n",
      "Solution ID: 1420, QUBO x: [0, 1, 0, 1, 1, 1, 1, 1, 1, 0, 0], QUBO value: -23214.289999999997, MaxCut value: 101729.48000000001\n",
      "Solution ID: 1421, QUBO x: [0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0], QUBO value: -34274.869999999995, MaxCut value: 123850.64\n",
      "Solution ID: 1422, QUBO x: [0, 1, 0, 1, 1, 1, 1, 1, 1, 1, 0], QUBO value: -17683.999999999996, MaxCut value: 90668.90000000001\n",
      "Solution ID: 1423, QUBO x: [0, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0], QUBO value: 44241.32000000001, MaxCut value: -33181.74\n",
      "Solution ID: 1424, QUBO x: [1, 1, 1, 0, 1, 0, 0, 1, 0, 0, 1], QUBO value: -39805.15999999999, MaxCut value: 134911.22\n",
      "Solution ID: 1425, QUBO x: [0, 1, 1, 0, 0, 0, 0, 0, 0, 1, 1], QUBO value: -9968.449999999993, MaxCut value: 75237.8\n",
      "Solution ID: 1426, QUBO x: [0, 1, 1, 0, 0, 0, 0, 0, 1, 0, 0], QUBO value: -11599.059999999994, MaxCut value: 78499.02\n",
      "Solution ID: 1427, QUBO x: [0, 1, 1, 0, 0, 0, 0, 0, 1, 1, 0], QUBO value: -28189.929999999997, MaxCut value: 111680.76000000001\n",
      "Solution ID: 1428, QUBO x: [0, 1, 0, 1, 1, 1, 0, 0, 0, 0, 1], QUBO value: 23213.290000000008, MaxCut value: 8874.32\n",
      "Solution ID: 1429, QUBO x: [0, 0, 1, 1, 1, 0, 0, 1, 1, 0, 1], QUBO value: -4975.639999999996, MaxCut value: 65252.18000000001\n",
      "Solution ID: 1430, QUBO x: [0, 1, 1, 0, 0, 0, 0, 0, 1, 1, 1], QUBO value: -43687.67, MaxCut value: 142676.24000000002\n",
      "Solution ID: 1431, QUBO x: [0, 1, 1, 0, 0, 0, 0, 1, 0, 0, 1], QUBO value: -9968.449999999993, MaxCut value: 75237.8\n",
      "Solution ID: 1432, QUBO x: [0, 1, 1, 0, 0, 0, 0, 1, 0, 1, 0], QUBO value: 11059.580000000005, MaxCut value: 33181.740000000005\n",
      "Solution ID: 1433, QUBO x: [1, 1, 0, 1, 1, 0, 1, 0, 1, 0, 1], QUBO value: 11059.580000000005, MaxCut value: 33181.740000000005\n",
      "Solution ID: 1434, QUBO x: [1, 0, 1, 0, 1, 0, 0, 0, 1, 0, 0], QUBO value: -32644.25999999999, MaxCut value: 120589.42\n",
      "Solution ID: 1435, QUBO x: [0, 1, 1, 0, 0, 0, 1, 0, 0, 0, 0], QUBO value: -11616.229999999992, MaxCut value: 78533.36\n",
      "Solution ID: 1436, QUBO x: [0, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0], QUBO value: -555.6499999999905, MaxCut value: 56412.2\n",
      "Solution ID: 1437, QUBO x: [0, 1, 1, 0, 0, 0, 1, 0, 0, 1, 0], QUBO value: -6085.939999999991, MaxCut value: 67472.78\n",
      "Solution ID: 1438, QUBO x: [0, 1, 1, 0, 1, 1, 1, 0, 0, 1, 0], QUBO value: 10504.930000000008, MaxCut value: 34291.04\n",
      "Solution ID: 1439, QUBO x: [0, 0, 0, 0, 1, 0, 1, 1, 1, 1, 1], QUBO value: -33181.73999999999, MaxCut value: 121664.37999999999\n",
      "Solution ID: 1440, QUBO x: [0, 0, 0, 1, 0, 1, 1, 1, 1, 1, 0], QUBO value: -34274.869999999995, MaxCut value: 123850.64\n",
      "Solution ID: 1441, QUBO x: [0, 1, 1, 0, 0, 0, 1, 0, 1, 0, 0], QUBO value: -45335.44999999998, MaxCut value: 145971.8\n",
      "Solution ID: 1442, QUBO x: [0, 1, 1, 0, 0, 0, 1, 0, 1, 1, 0], QUBO value: -39805.15999999999, MaxCut value: 134911.22\n",
      "Solution ID: 1443, QUBO x: [0, 1, 1, 0, 0, 0, 1, 1, 0, 0, 0], QUBO value: -28207.099999999995, MaxCut value: 111715.1\n",
      "Solution ID: 1444, QUBO x: [0, 1, 1, 0, 0, 0, 1, 1, 0, 1, 1], QUBO value: -38174.54999999999, MaxCut value: 131650.0\n",
      "Solution ID: 1445, QUBO x: [0, 1, 1, 0, 0, 1, 0, 0, 0, 0, 1], QUBO value: 12152.710000000008, MaxCut value: 30995.48\n",
      "Solution ID: 1446, QUBO x: [1, 0, 1, 1, 0, 1, 0, 0, 1, 0, 0], QUBO value: -38174.54999999999, MaxCut value: 131650.0\n",
      "Solution ID: 1447, QUBO x: [0, 1, 1, 0, 0, 1, 0, 0, 0, 1, 0], QUBO value: 33180.740000000005, MaxCut value: -11060.579999999998\n",
      "Solution ID: 1448, QUBO x: [0, 1, 1, 1, 1, 0, 1, 1, 1, 1, 1], QUBO value: -5530.28999999999, MaxCut value: 66361.48\n",
      "Solution ID: 1449, QUBO x: [0, 1, 1, 0, 0, 1, 0, 0, 0, 1, 1], QUBO value: -4438.159999999993, MaxCut value: 64177.22\n",
      "Solution ID: 1450, QUBO x: [0, 1, 1, 0, 0, 1, 0, 0, 1, 0, 0], QUBO value: -6068.769999999993, MaxCut value: 67438.44\n",
      "Solution ID: 1451, QUBO x: [0, 1, 1, 0, 0, 0, 0, 0, 1, 0, 1], QUBO value: -27096.8, MaxCut value: 109494.50000000001\n",
      "Solution ID: 1452, QUBO x: [0, 1, 1, 0, 0, 1, 0, 0, 1, 0, 1], QUBO value: -21566.50999999999, MaxCut value: 98433.92\n",
      "Solution ID: 1453, QUBO x: [1, 0, 1, 0, 1, 1, 0, 0, 0, 1, 0], QUBO value: -33181.73999999999, MaxCut value: 121664.37999999999\n",
      "Solution ID: 1454, QUBO x: [1, 0, 1, 0, 1, 0, 1, 1, 0, 1, 0], QUBO value: -21566.50999999999, MaxCut value: 98433.92\n",
      "Solution ID: 1455, QUBO x: [0, 1, 1, 0, 0, 1, 0, 1, 0, 0, 0], QUBO value: 33180.740000000005, MaxCut value: -11060.579999999998\n",
      "Solution ID: 1456, QUBO x: [0, 0, 1, 0, 1, 1, 1, 0, 1, 1, 1], QUBO value: -22121.159999999993, MaxCut value: 99543.22\n",
      "Solution ID: 1457, QUBO x: [0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 0], QUBO value: 44241.32000000001, MaxCut value: -33181.74\n",
      "Solution ID: 1458, QUBO x: [0, 1, 1, 0, 0, 1, 0, 1, 0, 0, 1], QUBO value: -4438.159999999993, MaxCut value: 64177.22\n",
      "Solution ID: 1459, QUBO x: [0, 1, 1, 0, 0, 1, 0, 1, 0, 1, 0], QUBO value: 16589.870000000006, MaxCut value: 22121.160000000003\n",
      "Solution ID: 1460, QUBO x: [1, 1, 0, 0, 0, 0, 1, 1, 0, 0, 1], QUBO value: -6068.769999999993, MaxCut value: 67438.44\n",
      "Solution ID: 1461, QUBO x: [0, 1, 1, 0, 1, 0, 0, 0, 1, 1, 0], QUBO value: -17129.349999999995, MaxCut value: 89559.6\n",
      "Solution ID: 1462, QUBO x: [1, 0, 1, 0, 0, 1, 0, 0, 1, 0, 1], QUBO value: -11616.229999999992, MaxCut value: 78533.36\n",
      "Solution ID: 1463, QUBO x: [0, 1, 1, 1, 0, 0, 0, 1, 0, 1, 0], QUBO value: 22120.160000000003, MaxCut value: 11060.580000000009\n",
      "Solution ID: 1464, QUBO x: [0, 1, 1, 0, 0, 1, 0, 1, 1, 0, 0], QUBO value: -538.4799999999923, MaxCut value: 56377.86\n",
      "Solution ID: 1465, QUBO x: [1, 0, 1, 1, 0, 1, 0, 0, 0, 0, 1], QUBO value: -34274.869999999995, MaxCut value: 123850.64\n",
      "Solution ID: 1466, QUBO x: [0, 1, 1, 0, 0, 1, 0, 1, 1, 0, 1], QUBO value: -16036.219999999998, MaxCut value: 87373.34000000001\n",
      "Solution ID: 1467, QUBO x: [0, 0, 1, 0, 1, 1, 1, 0, 1, 1, 0], QUBO value: -28744.57999999999, MaxCut value: 112790.06\n",
      "Solution ID: 1468, QUBO x: [0, 1, 1, 0, 0, 1, 0, 1, 1, 1, 1], QUBO value: -32627.09, MaxCut value: 120555.08000000002\n",
      "Solution ID: 1469, QUBO x: [0, 1, 1, 0, 0, 1, 1, 0, 0, 0, 0], QUBO value: -6085.939999999991, MaxCut value: 67472.78\n",
      "Solution ID: 1470, QUBO x: [0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 0], QUBO value: -555.6499999999905, MaxCut value: 56412.2\n",
      "Solution ID: 1471, QUBO x: [1, 1, 0, 1, 0, 1, 0, 0, 0, 0, 0], QUBO value: -22121.159999999985, MaxCut value: 99543.21999999999\n",
      "Solution ID: 1472, QUBO x: [0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1], QUBO value: 1092.1300000000083, MaxCut value: 53116.64\n",
      "Solution ID: 1473, QUBO x: [1, 0, 0, 0, 1, 1, 0, 1, 1, 1, 1], QUBO value: -555.6499999999905, MaxCut value: 56412.2\n",
      "Solution ID: 1474, QUBO x: [0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 0], QUBO value: 11059.580000000005, MaxCut value: 33181.740000000005\n",
      "Solution ID: 1475, QUBO x: [0, 1, 1, 0, 0, 1, 1, 0, 1, 1, 0], QUBO value: -34274.869999999995, MaxCut value: 123850.64\n",
      "Solution ID: 1476, QUBO x: [1, 0, 1, 1, 1, 1, 0, 1, 1, 1, 1], QUBO value: -22676.809999999994, MaxCut value: 100654.52\n",
      "Solution ID: 1477, QUBO x: [0, 1, 1, 1, 1, 1, 1, 0, 1, 1, 0], QUBO value: -12153.709999999988, MaxCut value: 79608.31999999999\n",
      "Solution ID: 1478, QUBO x: [1, 1, 1, 0, 0, 1, 1, 0, 1, 0, 0], QUBO value: -21029.029999999995, MaxCut value: 97358.96\n",
      "Solution ID: 1479, QUBO x: [0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1], QUBO value: -32644.25999999999, MaxCut value: 120589.42\n",
      "Solution ID: 1480, QUBO x: [1, 0, 0, 0, 1, 1, 1, 0, 1, 1, 0], QUBO value: 1092.1300000000047, MaxCut value: 53116.64000000001\n",
      "Solution ID: 1481, QUBO x: [0, 1, 1, 0, 0, 1, 1, 1, 0, 1, 1], QUBO value: -32644.25999999999, MaxCut value: 120589.42\n",
      "Solution ID: 1482, QUBO x: [0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 1], QUBO value: -22121.159999999985, MaxCut value: 99543.21999999999\n",
      "Solution ID: 1483, QUBO x: [0, 1, 1, 0, 1, 0, 0, 0, 0, 0, 0], QUBO value: 55301.90000000001, MaxCut value: -55302.899999999994\n",
      "Solution ID: 1484, QUBO x: [0, 0, 1, 1, 1, 0, 0, 0, 1, 1, 0], QUBO value: -11599.059999999994, MaxCut value: 78499.02\n",
      "Solution ID: 1485, QUBO x: [0, 1, 1, 0, 1, 0, 0, 0, 0, 0, 1], QUBO value: 17683.000000000007, MaxCut value: 19934.900000000005\n",
      "Solution ID: 1486, QUBO x: [1, 0, 1, 1, 1, 0, 1, 1, 0, 1, 1], QUBO value: -17129.349999999995, MaxCut value: 89559.6\n",
      "Solution ID: 1487, QUBO x: [0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1], QUBO value: -4438.159999999993, MaxCut value: 64177.22\n",
      "Solution ID: 1488, QUBO x: [0, 1, 1, 0, 1, 0, 0, 0, 0, 1, 1], QUBO value: 1092.1300000000047, MaxCut value: 53116.64000000001\n",
      "Solution ID: 1489, QUBO x: [0, 0, 0, 1, 1, 1, 1, 0, 1, 0, 1], QUBO value: -27651.449999999993, MaxCut value: 110603.8\n",
      "Solution ID: 1490, QUBO x: [0, 1, 1, 0, 1, 0, 0, 0, 1, 1, 1], QUBO value: -32627.09, MaxCut value: 120555.08000000002\n",
      "Solution ID: 1491, QUBO x: [0, 1, 1, 0, 1, 0, 0, 1, 0, 0, 0], QUBO value: 38711.030000000006, MaxCut value: -22121.159999999993\n",
      "Solution ID: 1492, QUBO x: [1, 0, 0, 0, 1, 0, 1, 1, 1, 1, 0], QUBO value: 23213.290000000008, MaxCut value: 8874.32\n",
      "Solution ID: 1493, QUBO x: [0, 1, 1, 0, 1, 0, 0, 1, 0, 0, 1], QUBO value: 1092.1300000000047, MaxCut value: 53116.64000000001\n",
      "Solution ID: 1494, QUBO x: [1, 0, 1, 1, 0, 0, 1, 0, 0, 0, 0], QUBO value: -32627.09, MaxCut value: 120555.08000000002\n",
      "Solution ID: 1495, QUBO x: [1, 0, 0, 1, 1, 0, 1, 1, 1, 1, 0], QUBO value: 12152.710000000008, MaxCut value: 30995.48\n",
      "Solution ID: 1496, QUBO x: [1, 1, 0, 1, 0, 1, 0, 0, 1, 1, 1], QUBO value: -22676.809999999994, MaxCut value: 100654.52\n",
      "Solution ID: 1497, QUBO x: [0, 1, 1, 0, 1, 0, 0, 1, 1, 0, 0], QUBO value: 4991.810000000005, MaxCut value: 45317.280000000006\n",
      "Solution ID: 1498, QUBO x: [1, 1, 1, 1, 0, 0, 0, 1, 1, 1, 1], QUBO value: -11616.229999999992, MaxCut value: 78533.36\n",
      "Solution ID: 1499, QUBO x: [0, 0, 1, 1, 1, 0, 1, 0, 1, 1, 1], QUBO value: -16590.86999999999, MaxCut value: 88482.64\n",
      "Solution ID: 1500, QUBO x: [0, 1, 1, 0, 1, 0, 0, 1, 1, 0, 1], QUBO value: -10505.929999999997, MaxCut value: 76312.76000000001\n",
      "Solution ID: 1501, QUBO x: [1, 1, 1, 0, 1, 1, 1, 1, 1, 1, 0], QUBO value: 1092.1300000000083, MaxCut value: 53116.64\n",
      "Solution ID: 1502, QUBO x: [1, 0, 1, 0, 1, 1, 0, 0, 0, 0, 1], QUBO value: -34274.869999999995, MaxCut value: 123850.64\n",
      "Solution ID: 1503, QUBO x: [0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 0], QUBO value: -11599.059999999994, MaxCut value: 78499.02\n",
      "Solution ID: 1504, QUBO x: [0, 1, 1, 0, 1, 0, 1, 0, 0, 1, 1], QUBO value: -10523.099999999995, MaxCut value: 76347.1\n",
      "Solution ID: 1505, QUBO x: [1, 0, 0, 1, 0, 1, 0, 0, 1, 0, 0], QUBO value: -27113.969999999998, MaxCut value: 109528.84000000001\n",
      "Solution ID: 1506, QUBO x: [0, 1, 1, 0, 1, 0, 1, 1, 0, 0, 0], QUBO value: -17146.519999999993, MaxCut value: 89593.94\n",
      "Solution ID: 1507, QUBO x: [0, 1, 1, 0, 1, 0, 1, 1, 0, 1, 1], QUBO value: -27113.969999999998, MaxCut value: 109528.84000000001\n",
      "Solution ID: 1508, QUBO x: [0, 1, 0, 1, 0, 0, 0, 1, 0, 1, 0], QUBO value: 11059.580000000005, MaxCut value: 33181.740000000005\n",
      "Solution ID: 1509, QUBO x: [0, 1, 1, 0, 1, 1, 0, 0, 0, 0, 0], QUBO value: 60832.19, MaxCut value: -66363.48\n",
      "Solution ID: 1510, QUBO x: [0, 1, 1, 0, 1, 1, 0, 0, 1, 0, 0], QUBO value: 4991.810000000009, MaxCut value: 45317.28\n",
      "Solution ID: 1511, QUBO x: [1, 1, 0, 1, 0, 0, 0, 1, 1, 1, 0], QUBO value: -16053.389999999989, MaxCut value: 87407.68\n",
      "Solution ID: 1512, QUBO x: [0, 1, 1, 0, 1, 1, 0, 0, 0, 0, 1], QUBO value: 23213.290000000008, MaxCut value: 8874.32\n",
      "Solution ID: 1513, QUBO x: [0, 0, 0, 1, 0, 0, 1, 1, 0, 1, 1], QUBO value: -43704.83999999998, MaxCut value: 142710.58\n",
      "Solution ID: 1514, QUBO x: [0, 1, 1, 0, 1, 1, 0, 0, 1, 0, 1], QUBO value: -10505.929999999997, MaxCut value: 76312.76000000001\n",
      "Solution ID: 1515, QUBO x: [0, 1, 1, 0, 1, 1, 0, 0, 1, 1, 0], QUBO value: -11599.059999999994, MaxCut value: 78499.02\n",
      "Solution ID: 1516, QUBO x: [0, 1, 1, 0, 1, 1, 0, 0, 1, 1, 1], QUBO value: -27096.8, MaxCut value: 109494.50000000001\n",
      "Solution ID: 1517, QUBO x: [1, 1, 1, 1, 1, 1, 0, 1, 0, 0, 1], QUBO value: -56396.029999999984, MaxCut value: 168092.96\n",
      "Solution ID: 1518, QUBO x: [1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1], QUBO value: -555.6499999999905, MaxCut value: 56412.2\n",
      "Solution ID: 1519, QUBO x: [1, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0], QUBO value: -21583.679999999997, MaxCut value: 98468.26000000001\n",
      "Solution ID: 1520, QUBO x: [0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 1], QUBO value: -32644.25999999999, MaxCut value: 120589.42\n",
      "Solution ID: 1521, QUBO x: [0, 1, 1, 0, 1, 1, 0, 1, 0, 0, 1], QUBO value: 6622.4200000000055, MaxCut value: 42056.060000000005\n",
      "Solution ID: 1522, QUBO x: [0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 0], QUBO value: 27650.450000000004, MaxCut value: 7.275957614183426e-12\n",
      "Solution ID: 1523, QUBO x: [0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1], QUBO value: -9968.449999999993, MaxCut value: 75237.8\n",
      "Solution ID: 1524, QUBO x: [0, 0, 0, 1, 0, 0, 1, 1, 1, 0, 0], QUBO value: -45335.44999999998, MaxCut value: 145971.8\n",
      "Solution ID: 1525, QUBO x: [0, 1, 1, 0, 1, 1, 1, 0, 1, 0, 1], QUBO value: -22121.159999999993, MaxCut value: 99543.22\n",
      "Solution ID: 1526, QUBO x: [0, 1, 1, 0, 1, 1, 1, 1, 0, 1, 0], QUBO value: -6085.939999999991, MaxCut value: 67472.78\n",
      "Solution ID: 1527, QUBO x: [0, 1, 1, 0, 1, 1, 1, 1, 1, 0, 0], QUBO value: -23214.289999999997, MaxCut value: 101729.48000000001\n",
      "Solution ID: 1528, QUBO x: [0, 1, 1, 0, 1, 1, 1, 1, 1, 0, 1], QUBO value: -16590.86999999999, MaxCut value: 88482.64\n",
      "Solution ID: 1529, QUBO x: [1, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0], QUBO value: -16590.86999999999, MaxCut value: 88482.64\n",
      "Solution ID: 1530, QUBO x: [1, 1, 0, 0, 0, 0, 1, 0, 1, 0, 1], QUBO value: 33180.740000000005, MaxCut value: -11060.57999999999\n",
      "Solution ID: 1531, QUBO x: [0, 1, 1, 1, 0, 0, 0, 0, 1, 0, 0], QUBO value: -538.4799999999923, MaxCut value: 56377.86\n",
      "Solution ID: 1532, QUBO x: [0, 1, 1, 1, 0, 0, 0, 0, 1, 1, 0], QUBO value: -17129.349999999995, MaxCut value: 89559.6\n",
      "Solution ID: 1533, QUBO x: [1, 1, 1, 1, 0, 0, 0, 1, 1, 1, 0], QUBO value: -27113.969999999998, MaxCut value: 109528.84000000001\n",
      "Solution ID: 1534, QUBO x: [0, 1, 1, 1, 0, 0, 0, 0, 1, 1, 1], QUBO value: -32627.09, MaxCut value: 120555.08000000002\n",
      "Solution ID: 1535, QUBO x: [1, 1, 0, 1, 0, 1, 0, 0, 1, 1, 0], QUBO value: -38174.54999999999, MaxCut value: 131650.0\n",
      "Solution ID: 1536, QUBO x: [0, 1, 1, 1, 0, 0, 0, 1, 0, 0, 0], QUBO value: 38711.030000000006, MaxCut value: -22121.159999999993\n",
      "Solution ID: 1537, QUBO x: [0, 0, 1, 0, 0, 1, 1, 1, 1, 0, 1], QUBO value: -33181.73999999999, MaxCut value: 121664.37999999999\n",
      "Solution ID: 1538, QUBO x: [0, 0, 1, 0, 0, 0, 1, 1, 1, 1, 1], QUBO value: -33181.73999999999, MaxCut value: 121664.37999999999\n",
      "Solution ID: 1539, QUBO x: [0, 1, 1, 1, 0, 0, 0, 1, 0, 0, 1], QUBO value: 1092.1300000000047, MaxCut value: 53116.64000000001\n",
      "Solution ID: 1540, QUBO x: [0, 1, 0, 1, 1, 0, 1, 1, 1, 0, 1], QUBO value: -22121.159999999993, MaxCut value: 99543.22\n",
      "Solution ID: 1541, QUBO x: [0, 1, 1, 1, 0, 0, 0, 1, 1, 0, 0], QUBO value: 4991.810000000005, MaxCut value: 45317.280000000006\n",
      "Solution ID: 1542, QUBO x: [0, 1, 1, 1, 0, 0, 0, 1, 1, 1, 0], QUBO value: -11599.059999999994, MaxCut value: 78499.02\n",
      "Solution ID: 1543, QUBO x: [1, 0, 0, 0, 1, 1, 1, 0, 0, 1, 1], QUBO value: 4991.810000000005, MaxCut value: 45317.280000000006\n",
      "Solution ID: 1544, QUBO x: [0, 1, 1, 1, 0, 0, 1, 0, 1, 0, 0], QUBO value: -34274.869999999995, MaxCut value: 123850.64000000001\n",
      "Solution ID: 1545, QUBO x: [1, 1, 1, 1, 0, 0, 0, 0, 1, 0, 0], QUBO value: -38174.54999999999, MaxCut value: 131650.0\n",
      "Solution ID: 1546, QUBO x: [0, 1, 1, 1, 0, 0, 1, 0, 1, 0, 1], QUBO value: -27651.449999999993, MaxCut value: 110603.8\n",
      "Solution ID: 1547, QUBO x: [1, 1, 0, 1, 0, 0, 1, 0, 0, 0, 0], QUBO value: -27096.799999999992, MaxCut value: 109494.5\n",
      "Solution ID: 1548, QUBO x: [0, 0, 1, 0, 0, 1, 0, 1, 1, 0, 0], QUBO value: -6068.769999999993, MaxCut value: 67438.44\n",
      "Solution ID: 1549, QUBO x: [0, 1, 1, 1, 1, 1, 1, 0, 0, 1, 0], QUBO value: 21565.51000000001, MaxCut value: 12169.879999999997\n",
      "Solution ID: 1550, QUBO x: [0, 1, 1, 1, 0, 0, 1, 0, 1, 1, 1], QUBO value: -22121.159999999993, MaxCut value: 99543.22\n",
      "Solution ID: 1551, QUBO x: [0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 1], QUBO value: -27096.799999999992, MaxCut value: 109494.5\n",
      "Solution ID: 1552, QUBO x: [0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1], QUBO value: -32627.089999999993, MaxCut value: 120555.08\n",
      "Solution ID: 1553, QUBO x: [0, 1, 1, 1, 0, 0, 1, 1, 1, 0, 1], QUBO value: -22121.159999999993, MaxCut value: 99543.22\n",
      "Solution ID: 1554, QUBO x: [0, 1, 1, 1, 0, 0, 1, 1, 1, 1, 1], QUBO value: -16590.86999999999, MaxCut value: 88482.64\n",
      "Solution ID: 1555, QUBO x: [1, 0, 0, 1, 0, 1, 1, 0, 0, 0, 1], QUBO value: -11599.059999999994, MaxCut value: 78499.02\n",
      "Solution ID: 1556, QUBO x: [0, 1, 1, 1, 0, 1, 0, 0, 0, 0, 0], QUBO value: 60832.19, MaxCut value: -66363.48\n",
      "Solution ID: 1557, QUBO x: [0, 0, 1, 1, 0, 1, 0, 1, 1, 0, 1], QUBO value: -10505.92999999999, MaxCut value: 76312.76\n",
      "Solution ID: 1558, QUBO x: [1, 0, 0, 1, 0, 0, 0, 1, 0, 1, 1], QUBO value: -28744.579999999998, MaxCut value: 112790.06000000001\n",
      "Solution ID: 1559, QUBO x: [0, 1, 1, 1, 0, 1, 0, 0, 0, 1, 1], QUBO value: 6622.4200000000055, MaxCut value: 42056.060000000005\n",
      "Solution ID: 1560, QUBO x: [0, 0, 1, 1, 1, 0, 1, 0, 0, 0, 1], QUBO value: -10523.099999999995, MaxCut value: 76347.1\n",
      "Solution ID: 1561, QUBO x: [0, 1, 1, 1, 0, 1, 0, 0, 1, 0, 1], QUBO value: -10505.929999999997, MaxCut value: 76312.76000000001\n",
      "Solution ID: 1562, QUBO x: [0, 1, 1, 1, 1, 1, 1, 1, 0, 1, 1], QUBO value: -10523.099999999995, MaxCut value: 76347.1\n",
      "Solution ID: 1563, QUBO x: [0, 1, 1, 1, 0, 1, 0, 0, 1, 1, 0], QUBO value: -11599.059999999994, MaxCut value: 78499.02\n",
      "Solution ID: 1564, QUBO x: [0, 1, 0, 0, 0, 1, 1, 0, 0, 0, 1], QUBO value: -32644.25999999999, MaxCut value: 120589.42\n",
      "Solution ID: 1565, QUBO x: [0, 1, 1, 1, 0, 1, 0, 1, 0, 1, 0], QUBO value: 27650.450000000004, MaxCut value: 7.275957614183426e-12\n",
      "Solution ID: 1566, QUBO x: [0, 1, 1, 1, 0, 1, 0, 1, 0, 1, 1], QUBO value: -9968.449999999993, MaxCut value: 75237.8\n",
      "Solution ID: 1567, QUBO x: [0, 0, 1, 1, 0, 1, 1, 0, 1, 1, 1], QUBO value: -22121.159999999993, MaxCut value: 99543.22\n",
      "Solution ID: 1568, QUBO x: [0, 1, 1, 1, 0, 1, 0, 1, 1, 1, 1], QUBO value: -21566.51, MaxCut value: 98433.92000000001\n",
      "Solution ID: 1569, QUBO x: [0, 1, 1, 1, 0, 1, 0, 1, 1, 1, 0], QUBO value: -6068.769999999993, MaxCut value: 67438.44\n",
      "Solution ID: 1570, QUBO x: [1, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0], QUBO value: -4438.159999999993, MaxCut value: 64177.22\n",
      "Solution ID: 1571, QUBO x: [0, 1, 1, 1, 0, 1, 1, 0, 1, 0, 1], QUBO value: -22121.159999999993, MaxCut value: 99543.22\n",
      "Solution ID: 1572, QUBO x: [0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1], QUBO value: -16053.389999999989, MaxCut value: 87407.68\n",
      "Solution ID: 1573, QUBO x: [1, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1], QUBO value: -23214.289999999997, MaxCut value: 101729.48000000001\n",
      "Solution ID: 1574, QUBO x: [0, 1, 1, 1, 0, 1, 1, 0, 1, 1, 1], QUBO value: -16590.86999999999, MaxCut value: 88482.64\n",
      "Solution ID: 1575, QUBO x: [1, 1, 1, 0, 0, 0, 0, 1, 0, 1, 0], QUBO value: -27651.449999999993, MaxCut value: 110603.8\n",
      "Solution ID: 1576, QUBO x: [0, 1, 1, 0, 0, 0, 0, 1, 0, 1, 1], QUBO value: -26559.319999999996, MaxCut value: 108419.54000000001\n",
      "Solution ID: 1577, QUBO x: [0, 1, 1, 1, 0, 1, 1, 1, 0, 0, 0], QUBO value: -11616.229999999992, MaxCut value: 78533.36\n",
      "Solution ID: 1578, QUBO x: [1, 0, 0, 1, 0, 1, 0, 0, 0, 0, 1], QUBO value: -23214.289999999997, MaxCut value: 101729.48000000001\n",
      "Solution ID: 1579, QUBO x: [0, 1, 1, 1, 0, 1, 1, 1, 0, 0, 1], QUBO value: -27113.969999999998, MaxCut value: 109528.84000000001\n",
      "Solution ID: 1580, QUBO x: [1, 0, 0, 1, 0, 0, 1, 1, 1, 1, 0], QUBO value: 23213.290000000008, MaxCut value: 8874.32\n",
      "Solution ID: 1581, QUBO x: [0, 1, 1, 1, 0, 1, 1, 1, 0, 1, 1], QUBO value: -21583.679999999997, MaxCut value: 98468.26000000001\n",
      "Solution ID: 1582, QUBO x: [0, 1, 1, 1, 0, 1, 1, 1, 1, 0, 1], QUBO value: -16590.86999999999, MaxCut value: 88482.64\n",
      "Solution ID: 1583, QUBO x: [0, 1, 1, 1, 0, 1, 1, 1, 1, 1, 1], QUBO value: -11060.57999999999, MaxCut value: 77422.06\n",
      "Solution ID: 1584, QUBO x: [0, 1, 1, 1, 1, 0, 0, 1, 1, 1, 1], QUBO value: -16036.219999999998, MaxCut value: 87373.34000000001\n",
      "Solution ID: 1585, QUBO x: [0, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0], QUBO value: 66362.48000000001, MaxCut value: -77424.06\n",
      "Solution ID: 1586, QUBO x: [0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 0], QUBO value: -45335.44999999998, MaxCut value: 145971.8\n",
      "Solution ID: 1587, QUBO x: [0, 1, 1, 1, 1, 0, 0, 0, 0, 1, 1], QUBO value: 12152.710000000008, MaxCut value: 30995.48\n",
      "Solution ID: 1588, QUBO x: [0, 1, 0, 0, 1, 0, 0, 1, 0, 0, 0], QUBO value: 27650.450000000004, MaxCut value: 3.637978807091713e-12\n",
      "Solution ID: 1589, QUBO x: [0, 1, 1, 1, 1, 0, 0, 0, 1, 1, 1], QUBO value: -21566.51, MaxCut value: 98433.92000000001\n",
      "Solution ID: 1590, QUBO x: [0, 1, 1, 1, 1, 0, 0, 1, 0, 1, 0], QUBO value: 33180.740000000005, MaxCut value: -11060.57999999999\n",
      "Solution ID: 1591, QUBO x: [0, 1, 1, 1, 1, 0, 0, 1, 0, 1, 1], QUBO value: -4438.159999999993, MaxCut value: 64177.22\n",
      "Solution ID: 1592, QUBO x: [1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 0], QUBO value: 23213.290000000008, MaxCut value: 8874.32\n",
      "Solution ID: 1593, QUBO x: [1, 1, 0, 0, 0, 1, 1, 1, 1, 0, 0], QUBO value: 6622.4200000000055, MaxCut value: 42056.060000000005\n",
      "Solution ID: 1594, QUBO x: [0, 1, 1, 1, 1, 0, 1, 0, 0, 1, 1], QUBO value: 537.4800000000068, MaxCut value: 54225.94\n",
      "Solution ID: 1595, QUBO x: [0, 0, 1, 0, 1, 0, 1, 1, 1, 1, 0], QUBO value: -28744.57999999999, MaxCut value: 112790.06\n",
      "Solution ID: 1596, QUBO x: [0, 1, 1, 1, 1, 0, 1, 0, 1, 0, 0], QUBO value: -23214.289999999997, MaxCut value: 101729.48000000001\n",
      "Solution ID: 1597, QUBO x: [1, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0], QUBO value: -4438.159999999993, MaxCut value: 64177.22\n",
      "Solution ID: 1598, QUBO x: [1, 1, 1, 0, 1, 0, 0, 1, 0, 1, 0], QUBO value: -38712.029999999984, MaxCut value: 132724.96\n",
      "Solution ID: 1599, QUBO x: [0, 1, 1, 1, 1, 0, 1, 0, 1, 1, 0], QUBO value: -17683.999999999996, MaxCut value: 90668.90000000001\n",
      "Solution ID: 1600, QUBO x: [0, 0, 0, 0, 0, 1, 1, 1, 0, 1, 0], QUBO value: -33737.39, MaxCut value: 122775.68000000001\n",
      "Solution ID: 1601, QUBO x: [0, 1, 1, 1, 1, 0, 1, 1, 0, 0, 0], QUBO value: -6085.939999999991, MaxCut value: 67472.78\n",
      "Solution ID: 1602, QUBO x: [0, 1, 1, 1, 1, 0, 1, 1, 0, 0, 1], QUBO value: -21583.679999999997, MaxCut value: 98468.26000000001\n",
      "Solution ID: 1603, QUBO x: [1, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0], QUBO value: -16036.219999999998, MaxCut value: 87373.34000000001\n",
      "Solution ID: 1604, QUBO x: [0, 1, 1, 1, 1, 0, 1, 1, 1, 1, 0], QUBO value: -12153.709999999995, MaxCut value: 79608.32\n",
      "Solution ID: 1605, QUBO x: [1, 0, 1, 1, 1, 1, 0, 1, 0, 1, 1], QUBO value: -56396.029999999984, MaxCut value: 168092.96\n",
      "Solution ID: 1606, QUBO x: [0, 1, 0, 1, 0, 1, 0, 1, 0, 1, 0], QUBO value: 16589.870000000006, MaxCut value: 22121.160000000003\n",
      "Solution ID: 1607, QUBO x: [1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0], QUBO value: -16053.389999999996, MaxCut value: 87407.68000000001\n",
      "Solution ID: 1608, QUBO x: [0, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0], QUBO value: 71892.77, MaxCut value: -88484.64\n",
      "Solution ID: 1609, QUBO x: [1, 0, 0, 1, 1, 1, 0, 1, 0, 0, 0], QUBO value: -33181.73999999999, MaxCut value: 121664.37999999999\n",
      "Solution ID: 1610, QUBO x: [0, 1, 1, 1, 1, 1, 0, 0, 0, 0, 1], QUBO value: 34273.87000000001, MaxCut value: -13246.84\n",
      "Solution ID: 1611, QUBO x: [0, 0, 0, 0, 0, 1, 1, 1, 0, 1, 1], QUBO value: -49235.12999999999, MaxCut value: 153771.16\n",
      "Solution ID: 1612, QUBO x: [0, 1, 1, 1, 1, 1, 0, 0, 0, 1, 0], QUBO value: 55301.90000000001, MaxCut value: -55302.899999999994\n",
      "Solution ID: 1613, QUBO x: [0, 1, 1, 1, 1, 1, 0, 0, 0, 1, 1], QUBO value: 17683.000000000007, MaxCut value: 19934.899999999998\n",
      "Solution ID: 1614, QUBO x: [1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1], QUBO value: 21582.680000000008, MaxCut value: 12135.54\n",
      "Solution ID: 1615, QUBO x: [0, 1, 1, 1, 1, 1, 0, 0, 1, 0, 0], QUBO value: 16052.390000000009, MaxCut value: 23196.12\n",
      "Solution ID: 1616, QUBO x: [1, 1, 1, 0, 0, 0, 1, 0, 0, 1, 0], QUBO value: -10505.92999999999, MaxCut value: 76312.76\n",
      "Solution ID: 1617, QUBO x: [0, 1, 1, 1, 1, 1, 0, 1, 0, 1, 1], QUBO value: 1092.1300000000083, MaxCut value: 53116.64\n",
      "Solution ID: 1618, QUBO x: [1, 1, 0, 1, 0, 1, 0, 0, 0, 1, 0], QUBO value: -27651.449999999993, MaxCut value: 110603.8\n",
      "Solution ID: 1619, QUBO x: [0, 1, 1, 1, 1, 1, 0, 1, 1, 0, 1], QUBO value: 6084.940000000006, MaxCut value: 43131.020000000004\n",
      "Solution ID: 1620, QUBO x: [0, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0], QUBO value: 16035.22000000001, MaxCut value: 23230.459999999995\n",
      "Solution ID: 1621, QUBO x: [1, 1, 1, 1, 1, 0, 1, 0, 1, 0, 1], QUBO value: -0.9999999999890861, MaxCut value: 55302.899999999994\n",
      "Solution ID: 1622, QUBO x: [0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1], QUBO value: -26559.319999999996, MaxCut value: 108419.54000000001\n",
      "Solution ID: 1623, QUBO x: [0, 1, 0, 1, 1, 0, 1, 0, 0, 0, 1], QUBO value: -16053.389999999996, MaxCut value: 87407.68000000001\n",
      "Solution ID: 1624, QUBO x: [1, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1], QUBO value: 4974.64000000001, MaxCut value: 45351.619999999995\n",
      "Solution ID: 1625, QUBO x: [0, 1, 1, 1, 1, 1, 1, 0, 0, 0, 1], QUBO value: 537.4800000000105, MaxCut value: 54225.939999999995\n",
      "Solution ID: 1626, QUBO x: [0, 1, 1, 1, 1, 1, 1, 0, 1, 0, 0], QUBO value: -17683.99999999999, MaxCut value: 90668.9\n",
      "Solution ID: 1627, QUBO x: [1, 1, 1, 0, 1, 1, 1, 0, 1, 1, 1], QUBO value: 22120.160000000007, MaxCut value: 11060.58\n",
      "Solution ID: 1628, QUBO x: [0, 1, 1, 1, 1, 1, 1, 0, 1, 1, 1], QUBO value: -5530.28999999999, MaxCut value: 66361.48\n",
      "Solution ID: 1629, QUBO x: [0, 1, 1, 1, 1, 1, 1, 1, 0, 0, 1], QUBO value: -16053.389999999996, MaxCut value: 87407.68000000001\n",
      "Solution ID: 1630, QUBO x: [1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0], QUBO value: -10523.099999999995, MaxCut value: 76347.1\n",
      "Solution ID: 1631, QUBO x: [1, 0, 0, 1, 1, 0, 0, 0, 1, 0, 1], QUBO value: -17146.519999999993, MaxCut value: 89593.94\n",
      "Solution ID: 1632, QUBO x: [1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0], QUBO value: -11060.57999999999, MaxCut value: 77422.06\n",
      "Solution ID: 1633, QUBO x: [1, 0, 0, 0, 0, 1, 1, 1, 0, 0, 0], QUBO value: -21566.51, MaxCut value: 98433.92000000001\n",
      "Solution ID: 1634, QUBO x: [1, 0, 1, 1, 0, 1, 1, 1, 1, 1, 0], QUBO value: 6622.420000000009, MaxCut value: 42056.06\n",
      "Solution ID: 1635, QUBO x: [1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1], QUBO value: -17683.99999999999, MaxCut value: 90668.9\n",
      "Solution ID: 1636, QUBO x: [1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0], QUBO value: 6067.770000000008, MaxCut value: 43165.36\n",
      "Solution ID: 1637, QUBO x: [1, 0, 1, 0, 1, 1, 0, 1, 1, 1, 1], QUBO value: -11616.229999999992, MaxCut value: 78533.36\n",
      "Solution ID: 1638, QUBO x: [0, 0, 1, 1, 1, 1, 1, 0, 1, 0, 0], QUBO value: -23214.289999999997, MaxCut value: 101729.48000000001\n",
      "Solution ID: 1639, QUBO x: [1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1], QUBO value: 21565.51000000001, MaxCut value: 12169.879999999997\n",
      "Solution ID: 1640, QUBO x: [0, 1, 0, 0, 0, 1, 1, 1, 1, 1, 1], QUBO value: -33181.73999999999, MaxCut value: 121664.37999999999\n",
      "Solution ID: 1641, QUBO x: [1, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0], QUBO value: 537.4800000000105, MaxCut value: 54225.939999999995\n",
      "Solution ID: 1642, QUBO x: [1, 0, 0, 0, 0, 1, 0, 1, 1, 1, 1], QUBO value: 10504.930000000011, MaxCut value: 34291.03999999999\n",
      "Solution ID: 1643, QUBO x: [1, 1, 1, 0, 0, 0, 1, 0, 1, 1, 1], QUBO value: 38711.030000000006, MaxCut value: -22121.16\n",
      "Solution ID: 1644, QUBO x: [1, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1], QUBO value: 16035.22000000001, MaxCut value: 23230.459999999995\n",
      "Solution ID: 1645, QUBO x: [0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0], QUBO value: 33180.740000000005, MaxCut value: -11060.58\n",
      "Solution ID: 1646, QUBO x: [0, 1, 1, 1, 0, 1, 0, 0, 1, 0, 0], QUBO value: 4991.810000000009, MaxCut value: 45317.28\n",
      "Solution ID: 1647, QUBO x: [1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1], QUBO value: 4991.810000000009, MaxCut value: 45317.28\n",
      "Solution ID: 1648, QUBO x: [1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0], QUBO value: 1092.1300000000083, MaxCut value: 53116.64\n",
      "Solution ID: 1649, QUBO x: [0, 1, 1, 1, 0, 0, 1, 1, 1, 1, 0], QUBO value: -23214.289999999997, MaxCut value: 101729.48000000001\n",
      "Solution ID: 1650, QUBO x: [1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1], QUBO value: 38711.030000000006, MaxCut value: -22121.159999999993\n",
      "Solution ID: 1651, QUBO x: [1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0], QUBO value: -16036.219999999998, MaxCut value: 87373.34000000001\n",
      "Solution ID: 1652, QUBO x: [1, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1], QUBO value: 16052.390000000009, MaxCut value: 23196.12\n",
      "Solution ID: 1653, QUBO x: [1, 0, 0, 0, 0, 0, 1, 1, 1, 0, 1], QUBO value: 55301.90000000001, MaxCut value: -55302.899999999994\n",
      "Solution ID: 1654, QUBO x: [1, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1], QUBO value: 71892.77, MaxCut value: -88484.64\n",
      "Solution ID: 1655, QUBO x: [0, 1, 1, 0, 1, 1, 1, 1, 0, 0, 0], QUBO value: -11616.229999999992, MaxCut value: 78533.36\n",
      "Solution ID: 1656, QUBO x: [1, 0, 0, 1, 1, 0, 0, 1, 1, 1, 0], QUBO value: -21583.67999999999, MaxCut value: 98468.26\n",
      "Solution ID: 1657, QUBO x: [1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0], QUBO value: -11060.57999999999, MaxCut value: 77422.06\n",
      "Solution ID: 1658, QUBO x: [0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 1], QUBO value: -15498.739999999994, MaxCut value: 86298.38\n",
      "Solution ID: 1659, QUBO x: [1, 0, 0, 0, 0, 1, 0, 0, 1, 1, 1], QUBO value: -6085.939999999991, MaxCut value: 67472.78\n",
      "Solution ID: 1660, QUBO x: [1, 0, 1, 0, 1, 0, 0, 0, 0, 0, 0], QUBO value: -22121.159999999985, MaxCut value: 99543.21999999999\n",
      "Solution ID: 1661, QUBO x: [1, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1], QUBO value: -538.4799999999923, MaxCut value: 56377.86\n",
      "Solution ID: 1662, QUBO x: [1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0], QUBO value: 12152.710000000008, MaxCut value: 30995.48\n",
      "Solution ID: 1663, QUBO x: [1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1], QUBO value: 55301.90000000001, MaxCut value: -55302.9\n",
      "Solution ID: 1664, QUBO x: [1, 0, 0, 0, 0, 1, 1, 1, 0, 1, 1], QUBO value: 10522.10000000001, MaxCut value: 34256.7\n",
      "Solution ID: 1665, QUBO x: [0, 0, 1, 0, 0, 0, 1, 1, 1, 1, 0], QUBO value: -39805.15999999999, MaxCut value: 134911.22\n",
      "Solution ID: 1666, QUBO x: [1, 0, 0, 0, 0, 1, 1, 1, 1, 0, 0], QUBO value: 12152.710000000008, MaxCut value: 30995.48\n",
      "Solution ID: 1667, QUBO x: [1, 1, 0, 1, 0, 0, 1, 0, 1, 0, 0], QUBO value: -15498.739999999994, MaxCut value: 86298.38\n",
      "Solution ID: 1668, QUBO x: [1, 0, 1, 1, 1, 1, 0, 0, 1, 1, 1], QUBO value: -39267.67999999999, MaxCut value: 133836.26\n",
      "Solution ID: 1669, QUBO x: [1, 0, 0, 0, 0, 1, 1, 1, 1, 0, 1], QUBO value: 49771.61, MaxCut value: -44242.31999999999\n",
      "Solution ID: 1670, QUBO x: [1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0], QUBO value: -11060.57999999999, MaxCut value: 77422.06\n",
      "Solution ID: 1671, QUBO x: [1, 0, 0, 1, 1, 0, 1, 1, 0, 0, 0], QUBO value: -38157.37999999999, MaxCut value: 131615.66\n",
      "Solution ID: 1672, QUBO x: [1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1], QUBO value: -6085.939999999991, MaxCut value: 67472.78\n",
      "Solution ID: 1673, QUBO x: [1, 1, 1, 0, 1, 0, 0, 1, 1, 1, 0], QUBO value: -27113.969999999998, MaxCut value: 109528.84000000001\n",
      "Solution ID: 1674, QUBO x: [1, 0, 0, 0, 1, 0, 0, 0, 1, 1, 1], QUBO value: -11616.229999999992, MaxCut value: 78533.36\n",
      "Solution ID: 1675, QUBO x: [0, 0, 0, 1, 1, 1, 0, 1, 1, 1, 1], QUBO value: -27096.799999999992, MaxCut value: 109494.5\n",
      "Solution ID: 1676, QUBO x: [1, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0], QUBO value: -16590.86999999999, MaxCut value: 88482.64\n",
      "Solution ID: 1677, QUBO x: [1, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0], QUBO value: -4992.809999999994, MaxCut value: 65286.520000000004\n",
      "Solution ID: 1678, QUBO x: [1, 0, 0, 0, 1, 0, 0, 1, 1, 0, 1], QUBO value: 10504.930000000008, MaxCut value: 34291.04\n",
      "Solution ID: 1679, QUBO x: [1, 1, 1, 1, 0, 0, 1, 0, 1, 1, 1], QUBO value: 27650.450000000004, MaxCut value: 3.637978807091713e-12\n",
      "Solution ID: 1680, QUBO x: [0, 0, 1, 1, 1, 0, 0, 1, 1, 1, 1], QUBO value: -21566.51, MaxCut value: 98433.92000000001\n",
      "Solution ID: 1681, QUBO x: [1, 0, 0, 0, 1, 0, 0, 1, 1, 1, 0], QUBO value: -10523.099999999995, MaxCut value: 76347.1\n",
      "Solution ID: 1682, QUBO x: [1, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1], QUBO value: -17683.999999999996, MaxCut value: 90668.90000000001\n",
      "Solution ID: 1683, QUBO x: [1, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0], QUBO value: -4975.639999999996, MaxCut value: 65252.18000000001\n",
      "Solution ID: 1684, QUBO x: [0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 1], QUBO value: -9968.449999999993, MaxCut value: 75237.8\n",
      "Solution ID: 1685, QUBO x: [1, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1], QUBO value: 27650.450000000004, MaxCut value: 7.275957614183426e-12\n",
      "Solution ID: 1686, QUBO x: [1, 0, 0, 0, 1, 0, 1, 0, 1, 1, 0], QUBO value: 6622.4200000000055, MaxCut value: 42056.060000000005\n",
      "Solution ID: 1687, QUBO x: [1, 0, 0, 0, 1, 0, 1, 0, 1, 1, 1], QUBO value: 44241.32000000001, MaxCut value: -33181.73999999999\n",
      "Solution ID: 1688, QUBO x: [1, 1, 1, 1, 1, 0, 1, 0, 0, 0, 1], QUBO value: -33720.22, MaxCut value: 122741.34000000001\n",
      "Solution ID: 1689, QUBO x: [0, 1, 0, 1, 0, 0, 0, 0, 1, 1, 0], QUBO value: -28189.929999999997, MaxCut value: 111680.76000000001\n",
      "Solution ID: 1690, QUBO x: [1, 0, 0, 0, 1, 0, 1, 1, 1, 0, 0], QUBO value: 6622.4200000000055, MaxCut value: 42056.060000000005\n",
      "Solution ID: 1691, QUBO x: [1, 0, 0, 0, 1, 0, 1, 1, 1, 1, 1], QUBO value: 60832.19, MaxCut value: -66363.48\n",
      "Solution ID: 1692, QUBO x: [0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 1], QUBO value: -44242.31999999998, MaxCut value: 143785.53999999998\n",
      "Solution ID: 1693, QUBO x: [1, 0, 0, 0, 1, 1, 0, 0, 1, 0, 0], QUBO value: -27113.969999999998, MaxCut value: 109528.84000000001\n",
      "Solution ID: 1694, QUBO x: [1, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1], QUBO value: -17146.519999999993, MaxCut value: 89593.94\n",
      "Solution ID: 1695, QUBO x: [1, 0, 0, 0, 1, 1, 0, 1, 0, 0, 0], QUBO value: -22121.159999999993, MaxCut value: 99543.22\n",
      "Solution ID: 1696, QUBO x: [1, 0, 0, 0, 1, 1, 0, 1, 0, 1, 0], QUBO value: -27651.449999999993, MaxCut value: 110603.8\n",
      "Solution ID: 1697, QUBO x: [0, 0, 1, 1, 1, 0, 1, 0, 0, 0, 0], QUBO value: 4974.64000000001, MaxCut value: 45351.619999999995\n",
      "Solution ID: 1698, QUBO x: [1, 0, 0, 0, 1, 1, 1, 0, 0, 0, 0], QUBO value: -27096.8, MaxCut value: 109494.50000000001\n",
      "Solution ID: 1699, QUBO x: [1, 0, 0, 0, 1, 1, 1, 0, 1, 1, 1], QUBO value: 38711.030000000006, MaxCut value: -22121.159999999993\n",
      "Solution ID: 1700, QUBO x: [1, 0, 0, 0, 1, 1, 1, 0, 0, 1, 0], QUBO value: -10505.929999999997, MaxCut value: 76312.76000000001\n",
      "Solution ID: 1701, QUBO x: [1, 1, 0, 1, 0, 0, 0, 0, 1, 0, 1], QUBO value: -11616.229999999992, MaxCut value: 78533.36\n",
      "Solution ID: 1702, QUBO x: [1, 0, 0, 0, 1, 1, 1, 0, 1, 0, 1], QUBO value: 22120.160000000003, MaxCut value: 11060.580000000009\n",
      "Solution ID: 1703, QUBO x: [0, 1, 1, 1, 1, 0, 0, 0, 1, 0, 1], QUBO value: -4975.639999999996, MaxCut value: 65252.18000000001\n",
      "Solution ID: 1704, QUBO x: [1, 0, 0, 0, 1, 1, 1, 1, 0, 0, 0], QUBO value: -32627.09, MaxCut value: 120555.08000000002\n",
      "Solution ID: 1705, QUBO x: [1, 0, 0, 0, 1, 1, 1, 1, 0, 1, 0], QUBO value: -16036.219999999998, MaxCut value: 87373.34000000001\n",
      "Solution ID: 1706, QUBO x: [1, 0, 0, 0, 1, 1, 0, 0, 0, 1, 0], QUBO value: -22121.159999999993, MaxCut value: 99543.22\n",
      "Solution ID: 1707, QUBO x: [1, 0, 0, 0, 1, 1, 1, 1, 1, 0, 1], QUBO value: 38711.030000000006, MaxCut value: -22121.159999999993\n",
      "Solution ID: 1708, QUBO x: [1, 0, 1, 1, 0, 0, 1, 0, 1, 0, 0], QUBO value: -21029.029999999995, MaxCut value: 97358.96\n",
      "Solution ID: 1709, QUBO x: [1, 0, 0, 0, 1, 1, 1, 1, 1, 1, 0], QUBO value: 17683.000000000007, MaxCut value: 19934.900000000005\n",
      "Solution ID: 1710, QUBO x: [1, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1], QUBO value: 55301.90000000001, MaxCut value: -55302.899999999994\n",
      "Solution ID: 1711, QUBO x: [1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 1], QUBO value: -50865.73999999999, MaxCut value: 157032.38\n",
      "Solution ID: 1712, QUBO x: [0, 1, 1, 1, 1, 1, 0, 1, 1, 1, 1], QUBO value: -10505.929999999997, MaxCut value: 76312.76000000001\n",
      "Solution ID: 1713, QUBO x: [1, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1], QUBO value: -17683.999999999996, MaxCut value: 90668.90000000001\n",
      "Solution ID: 1714, QUBO x: [1, 1, 0, 1, 1, 1, 1, 0, 0, 0, 1], QUBO value: -28189.929999999997, MaxCut value: 111680.76000000001\n",
      "Solution ID: 1715, QUBO x: [1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 1], QUBO value: -23214.289999999997, MaxCut value: 101729.48000000001\n",
      "Solution ID: 1716, QUBO x: [1, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0], QUBO value: -27113.969999999998, MaxCut value: 109528.84000000001\n",
      "Solution ID: 1717, QUBO x: [0, 1, 0, 0, 0, 0, 1, 1, 0, 0, 0], QUBO value: -39267.67999999999, MaxCut value: 133836.26\n",
      "Solution ID: 1718, QUBO x: [1, 0, 0, 1, 0, 0, 0, 0, 1, 1, 1], QUBO value: -11616.229999999992, MaxCut value: 78533.36\n",
      "Solution ID: 1719, QUBO x: [1, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1], QUBO value: -23214.289999999997, MaxCut value: 101729.48000000001\n",
      "Solution ID: 1720, QUBO x: [1, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0], QUBO value: -4992.809999999994, MaxCut value: 65286.520000000004\n",
      "Solution ID: 1721, QUBO x: [1, 0, 0, 1, 0, 0, 1, 0, 1, 0, 0], QUBO value: -9968.449999999993, MaxCut value: 75237.8\n",
      "Solution ID: 1722, QUBO x: [1, 0, 0, 1, 0, 0, 1, 0, 1, 1, 0], QUBO value: 6622.4200000000055, MaxCut value: 42056.060000000005\n",
      "Solution ID: 1723, QUBO x: [0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1], QUBO value: -15498.739999999994, MaxCut value: 86298.38\n",
      "Solution ID: 1724, QUBO x: [1, 0, 0, 1, 0, 0, 1, 0, 1, 1, 1], QUBO value: 44241.32000000001, MaxCut value: -33181.73999999999\n",
      "Solution ID: 1725, QUBO x: [1, 0, 0, 1, 0, 0, 0, 1, 1, 0, 1], QUBO value: 10504.930000000008, MaxCut value: 34291.04\n",
      "Solution ID: 1726, QUBO x: [1, 0, 0, 1, 0, 0, 1, 1, 0, 0, 1], QUBO value: -11599.059999999994, MaxCut value: 78499.02\n",
      "Solution ID: 1727, QUBO x: [1, 1, 1, 0, 1, 0, 1, 1, 1, 1, 0], QUBO value: 6622.420000000009, MaxCut value: 42056.06\n",
      "Solution ID: 1728, QUBO x: [1, 0, 1, 1, 1, 0, 1, 1, 1, 1, 1], QUBO value: 38711.030000000006, MaxCut value: -22121.16\n",
      "Solution ID: 1729, QUBO x: [1, 0, 0, 1, 0, 0, 1, 1, 0, 1, 1], QUBO value: 4991.810000000009, MaxCut value: 45317.28\n",
      "Solution ID: 1730, QUBO x: [0, 1, 0, 0, 0, 0, 1, 1, 1, 1, 0], QUBO value: -45335.44999999998, MaxCut value: 145971.8\n",
      "Solution ID: 1731, QUBO x: [1, 0, 0, 1, 0, 0, 1, 1, 1, 0, 1], QUBO value: 44241.32000000001, MaxCut value: -33181.73999999999\n",
      "Solution ID: 1732, QUBO x: [1, 0, 0, 1, 0, 1, 0, 0, 0, 0, 0], QUBO value: -16590.86999999999, MaxCut value: 88482.64\n",
      "Solution ID: 1733, QUBO x: [1, 0, 0, 1, 1, 1, 0, 1, 1, 0, 0], QUBO value: -21583.679999999997, MaxCut value: 98468.26000000001\n",
      "Solution ID: 1734, QUBO x: [0, 1, 1, 0, 1, 0, 0, 0, 1, 0, 1], QUBO value: -16036.219999999998, MaxCut value: 87373.34000000001\n",
      "Solution ID: 1735, QUBO x: [1, 0, 0, 1, 0, 1, 0, 0, 0, 1, 0], QUBO value: -22121.159999999993, MaxCut value: 99543.22\n",
      "Solution ID: 1736, QUBO x: [1, 0, 0, 1, 1, 0, 0, 0, 0, 0, 0], QUBO value: -22121.159999999985, MaxCut value: 99543.21999999999\n",
      "Solution ID: 1737, QUBO x: [0, 1, 1, 0, 0, 0, 1, 1, 1, 0, 1], QUBO value: -33181.73999999999, MaxCut value: 121664.37999999999\n",
      "Solution ID: 1738, QUBO x: [0, 1, 0, 1, 0, 1, 1, 1, 1, 1, 1], QUBO value: -22121.159999999985, MaxCut value: 99543.21999999999\n",
      "Solution ID: 1739, QUBO x: [1, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1], QUBO value: -17146.519999999993, MaxCut value: 89593.94\n",
      "Solution ID: 1740, QUBO x: [0, 0, 1, 0, 1, 1, 1, 0, 0, 0, 0], QUBO value: -555.6499999999905, MaxCut value: 56412.2\n",
      "Solution ID: 1741, QUBO x: [1, 0, 0, 1, 0, 1, 0, 1, 1, 1, 0], QUBO value: -16053.389999999996, MaxCut value: 87407.68000000001\n",
      "Solution ID: 1742, QUBO x: [1, 1, 1, 1, 1, 1, 0, 0, 1, 0, 0], QUBO value: -54765.419999999984, MaxCut value: 164831.74\n",
      "Solution ID: 1743, QUBO x: [1, 0, 0, 1, 0, 1, 0, 1, 1, 1, 1], QUBO value: -555.6499999999905, MaxCut value: 56412.2\n",
      "Solution ID: 1744, QUBO x: [1, 0, 0, 1, 0, 1, 1, 0, 0, 0, 0], QUBO value: -27096.8, MaxCut value: 109494.50000000001\n",
      "Solution ID: 1745, QUBO x: [1, 0, 0, 1, 0, 1, 1, 0, 0, 1, 0], QUBO value: -10505.929999999997, MaxCut value: 76312.76000000001\n",
      "Solution ID: 1746, QUBO x: [0, 1, 1, 1, 1, 0, 1, 0, 1, 0, 1], QUBO value: -16590.86999999999, MaxCut value: 88482.64\n",
      "Solution ID: 1747, QUBO x: [1, 0, 0, 1, 0, 1, 1, 0, 0, 1, 1], QUBO value: 4991.810000000005, MaxCut value: 45317.280000000006\n",
      "Solution ID: 1748, QUBO x: [1, 0, 0, 1, 0, 1, 1, 0, 1, 1, 1], QUBO value: 38711.030000000006, MaxCut value: -22121.159999999993\n",
      "Solution ID: 1749, QUBO x: [1, 1, 0, 1, 0, 0, 0, 1, 1, 0, 1], QUBO value: 4974.64000000001, MaxCut value: 45351.619999999995\n",
      "Solution ID: 1750, QUBO x: [1, 0, 0, 1, 0, 1, 1, 1, 1, 0, 1], QUBO value: 38711.030000000006, MaxCut value: -22121.159999999993\n",
      "Solution ID: 1751, QUBO x: [1, 0, 0, 1, 0, 1, 1, 1, 0, 0, 0], QUBO value: -32627.09, MaxCut value: 120555.08000000002\n",
      "Solution ID: 1752, QUBO x: [1, 0, 0, 1, 0, 1, 1, 1, 1, 0, 0], QUBO value: 1092.1300000000047, MaxCut value: 53116.64000000001\n",
      "Solution ID: 1753, QUBO x: [1, 1, 1, 0, 1, 1, 0, 0, 0, 0, 1], QUBO value: -39805.15999999999, MaxCut value: 134911.22\n",
      "Solution ID: 1754, QUBO x: [1, 0, 0, 1, 0, 1, 1, 1, 1, 1, 0], QUBO value: 17683.000000000007, MaxCut value: 19934.900000000005\n",
      "Solution ID: 1755, QUBO x: [1, 0, 0, 1, 0, 1, 1, 1, 1, 1, 1], QUBO value: 55301.90000000001, MaxCut value: -55302.899999999994\n",
      "Solution ID: 1756, QUBO x: [1, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1], QUBO value: -6085.939999999991, MaxCut value: 67472.78\n",
      "Solution ID: 1757, QUBO x: [0, 1, 1, 1, 0, 1, 1, 1, 1, 1, 0], QUBO value: -17683.999999999996, MaxCut value: 90668.90000000001\n",
      "Solution ID: 1758, QUBO x: [0, 1, 1, 0, 1, 0, 1, 1, 1, 0, 0], QUBO value: -28744.579999999998, MaxCut value: 112790.06000000001\n",
      "Solution ID: 1759, QUBO x: [1, 0, 0, 1, 1, 0, 0, 0, 0, 1, 0], QUBO value: -27651.449999999993, MaxCut value: 110603.8\n",
      "Solution ID: 1760, QUBO x: [1, 0, 0, 1, 1, 0, 0, 0, 0, 1, 1], QUBO value: -34274.869999999995, MaxCut value: 123850.64\n",
      "Solution ID: 1761, QUBO x: [1, 1, 0, 0, 1, 0, 0, 1, 1, 0, 0], QUBO value: -10523.099999999988, MaxCut value: 76347.09999999999\n",
      "Solution ID: 1762, QUBO x: [1, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1], QUBO value: -6068.769999999993, MaxCut value: 67438.44\n",
      "Solution ID: 1763, QUBO x: [1, 0, 0, 1, 1, 0, 0, 0, 1, 0, 0], QUBO value: -32644.25999999999, MaxCut value: 120589.42\n",
      "Solution ID: 1764, QUBO x: [1, 0, 1, 0, 1, 1, 0, 1, 1, 1, 0], QUBO value: -27113.969999999998, MaxCut value: 109528.84000000001\n",
      "Solution ID: 1765, QUBO x: [1, 0, 0, 1, 1, 0, 0, 0, 1, 1, 0], QUBO value: -38174.54999999999, MaxCut value: 131650.0\n",
      "Solution ID: 1766, QUBO x: [1, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1], QUBO value: -22676.809999999994, MaxCut value: 100654.52\n",
      "Solution ID: 1767, QUBO x: [1, 0, 0, 1, 1, 0, 0, 1, 0, 1, 0], QUBO value: -33181.73999999999, MaxCut value: 121664.38\n",
      "Solution ID: 1768, QUBO x: [1, 1, 0, 1, 1, 0, 1, 0, 0, 0, 1], QUBO value: -22659.639999999996, MaxCut value: 100620.18000000001\n",
      "Solution ID: 1769, QUBO x: [0, 0, 1, 0, 0, 0, 0, 1, 1, 1, 0], QUBO value: -28189.929999999997, MaxCut value: 111680.76000000001\n",
      "Solution ID: 1770, QUBO x: [1, 0, 0, 1, 1, 0, 0, 1, 0, 1, 1], QUBO value: -39805.15999999999, MaxCut value: 134911.22\n",
      "Solution ID: 1771, QUBO x: [1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0], QUBO value: -16053.389999999989, MaxCut value: 87407.68\n",
      "Solution ID: 1772, QUBO x: [1, 0, 0, 1, 1, 0, 1, 0, 0, 0, 0], QUBO value: -32627.09, MaxCut value: 120555.08000000002\n",
      "Solution ID: 1773, QUBO x: [1, 0, 0, 1, 1, 0, 1, 0, 0, 0, 1], QUBO value: -17129.349999999995, MaxCut value: 89559.6\n",
      "Solution ID: 1774, QUBO x: [1, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0], QUBO value: -27113.969999999998, MaxCut value: 109528.84000000001\n",
      "Solution ID: 1775, QUBO x: [1, 0, 0, 1, 1, 0, 1, 0, 0, 1, 0], QUBO value: -16036.219999999998, MaxCut value: 87373.34000000001\n",
      "Solution ID: 1776, QUBO x: [1, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1], QUBO value: -538.4799999999923, MaxCut value: 56377.86\n",
      "Solution ID: 1777, QUBO x: [1, 1, 0, 0, 1, 1, 0, 0, 0, 1, 1], QUBO value: -34274.869999999995, MaxCut value: 123850.64\n",
      "Solution ID: 1778, QUBO x: [1, 1, 0, 0, 0, 1, 1, 0, 0, 0, 1], QUBO value: -6068.769999999993, MaxCut value: 67438.44\n",
      "Solution ID: 1779, QUBO x: [0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1], QUBO value: -55302.89999999998, MaxCut value: 165906.69999999998\n",
      "Solution ID: 1780, QUBO x: [1, 0, 0, 1, 1, 0, 1, 0, 1, 0, 1], QUBO value: 16589.870000000006, MaxCut value: 22121.160000000003\n",
      "Solution ID: 1781, QUBO x: [1, 1, 1, 1, 1, 0, 0, 1, 1, 0, 0], QUBO value: -32644.25999999999, MaxCut value: 120589.42\n",
      "Solution ID: 1782, QUBO x: [1, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1], QUBO value: 33180.740000000005, MaxCut value: -11060.579999999998\n",
      "Solution ID: 1783, QUBO x: [1, 0, 0, 1, 1, 0, 1, 1, 0, 0, 1], QUBO value: -22659.639999999996, MaxCut value: 100620.18000000001\n",
      "Solution ID: 1784, QUBO x: [1, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0], QUBO value: -21566.50999999999, MaxCut value: 98433.92\n",
      "Solution ID: 1785, QUBO x: [0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1], QUBO value: -38157.37999999999, MaxCut value: 131615.66\n",
      "Solution ID: 1786, QUBO x: [1, 0, 0, 1, 1, 0, 1, 1, 0, 1, 1], QUBO value: -6068.769999999993, MaxCut value: 67438.44\n",
      "Solution ID: 1787, QUBO x: [0, 0, 1, 0, 0, 1, 0, 1, 1, 1, 0], QUBO value: -22659.639999999996, MaxCut value: 100620.18000000001\n",
      "Solution ID: 1788, QUBO x: [1, 0, 0, 1, 1, 0, 1, 1, 1, 0, 0], QUBO value: -4438.159999999993, MaxCut value: 64177.22\n",
      "Solution ID: 1789, QUBO x: [0, 1, 1, 0, 0, 0, 0, 1, 1, 0, 0], QUBO value: -6068.769999999993, MaxCut value: 67438.44\n",
      "Solution ID: 1790, QUBO x: [1, 0, 0, 1, 1, 0, 1, 1, 1, 1, 1], QUBO value: 49771.61000000001, MaxCut value: -44242.32\n",
      "Solution ID: 1791, QUBO x: [0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 1], QUBO value: -9968.449999999993, MaxCut value: 75237.8\n",
      "Solution ID: 1792, QUBO x: [0, 1, 1, 0, 1, 0, 1, 1, 0, 1, 0], QUBO value: -11616.229999999992, MaxCut value: 78533.36\n",
      "Solution ID: 1793, QUBO x: [1, 0, 0, 1, 1, 1, 0, 0, 0, 0, 1], QUBO value: -34274.869999999995, MaxCut value: 123850.64\n",
      "Solution ID: 1794, QUBO x: [0, 0, 0, 1, 1, 0, 0, 0, 0, 0, 1], QUBO value: 12152.710000000008, MaxCut value: 30995.48\n",
      "Solution ID: 1795, QUBO x: [1, 0, 0, 1, 1, 1, 0, 0, 1, 0, 0], QUBO value: -38174.54999999999, MaxCut value: 131650.0\n",
      "Solution ID: 1796, QUBO x: [0, 1, 1, 1, 0, 0, 0, 1, 1, 0, 1], QUBO value: -10505.929999999997, MaxCut value: 76312.76000000001\n",
      "Solution ID: 1797, QUBO x: [1, 0, 0, 1, 1, 1, 0, 0, 1, 0, 1], QUBO value: -22676.809999999994, MaxCut value: 100654.52\n",
      "Solution ID: 1798, QUBO x: [1, 0, 0, 1, 1, 1, 0, 0, 1, 1, 0], QUBO value: -43704.84, MaxCut value: 142710.58000000002\n",
      "Solution ID: 1799, QUBO x: [0, 1, 1, 0, 1, 0, 1, 0, 0, 0, 1], QUBO value: -16053.389999999996, MaxCut value: 87407.68000000001\n",
      "Solution ID: 1800, QUBO x: [1, 0, 0, 1, 1, 1, 0, 1, 0, 0, 1], QUBO value: -39805.15999999999, MaxCut value: 134911.22\n",
      "\n",
      "\n",
      "The optimal solutions are:\n",
      "Solution ID: 971, QUBO x: [0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0], QUBO value: -61926.31999999999, MaxCut value: 179153.54, constant C: 27650.450000000008\n",
      "Solution ID: 1295, QUBO x: [1, 1, 1, 1, 1, 1, 0, 1, 0, 1, 1], QUBO value: -61926.31999999999, MaxCut value: 179153.54, constant C: 27650.450000000008\n",
      "\n",
      "\n",
      "The final solution is: 4437.150000000009\n"
     ]
    }
   ],
   "source": [
    "n = len(sampleGraph3.nodes)\n",
    "maxcut_solutions = binary_dict\n",
    "\n",
    "# Convert each MaxCut solution into QUBO binary variables (x values)\n",
    "qubo_x_values = {}\n",
    "for sol_id, solution in maxcut_solutions.items():\n",
    "    # Convert binary string to QUBO x values\n",
    "    qubo_x = [1 if bit == '1' else 0 for bit in solution]\n",
    "    qubo_x_values[sol_id] = qubo_x\n",
    "\n",
    "# Output QUBO x values and corresponding QUBO values\n",
    "for sol_id, x in qubo_x_values.items():\n",
    "    print(f\"Solution ID: {sol_id}, QUBO x: {x}, QUBO value: {qubo_values[sol_id]}, MaxCut value: {maxcut_values[sol_id]}\")\n",
    "\n",
    "# Find the minimum QUBO value\n",
    "min_qubo_value = min(qubo_values.values())\n",
    "\n",
    "# Filter out all the solutions with the least QUBO value\n",
    "min_qubo_solutions = {sol_id: qubo_x_values[sol_id] for sol_id in qubo_x_values if qubo_values[sol_id] == min_qubo_value}\n",
    "\n",
    "# Output the filtered solutions\n",
    "print(\"\\n\")\n",
    "print(\"The optimal solutions are:\")\n",
    "for sol_id, x in min_qubo_solutions.items():\n",
    "    print(f\"Solution ID: {sol_id}, QUBO x: {x}, QUBO value: {min_qubo_value}, MaxCut value: {maxcut_values[sol_id]}, constant C: {C}\")\n",
    "\n",
    "# Final solution\n",
    "final_solution = min_qubo_value + constant\n",
    "print(\"\\n\")\n",
    "print(f\"The final solution is: {final_solution}\")"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "cuda-quantum",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.10.13"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}