run_all_benchmark_functions.ipynb

{
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "view-in-github",
        "colab_type": "text"
      },
      "source": [
        "<a href=\"https://colab.research.google.com/github/ntienvu/KnownOptimum_BO/blob/master/run_all_benchmark_functions.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "!pip install git+https://github.com/ntienvu/KnownOptimum_BO #--force-reinstall"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 866
        },
        "id": "ay89j7tSQJ-L",
        "outputId": "b32594fb-1757-4ff3-deeb-108803d2b9bd"
      },
      "execution_count": 1,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Looking in indexes: https://pypi.org/simple, https://us-python.pkg.dev/colab-wheels/public/simple/\n",
            "Collecting scipy==1.9.1\n",
            "  Using cached scipy-1.9.1-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (43.4 MB)\n",
            "Requirement already satisfied: numpy<1.25.0,>=1.18.5 in /usr/local/lib/python3.8/dist-packages (from scipy==1.9.1) (1.24.2)\n",
            "Installing collected packages: scipy\n",
            "  Attempting uninstall: scipy\n",
            "    Found existing installation: scipy 1.10.1\n",
            "    Uninstalling scipy-1.10.1:\n",
            "      Successfully uninstalled scipy-1.10.1\n",
            "Successfully installed scipy-1.9.1\n",
            "Looking in indexes: https://pypi.org/simple, https://us-python.pkg.dev/colab-wheels/public/simple/\n",
            "Collecting numpy==1.23.3\n",
            "  Using cached numpy-1.23.3-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (17.1 MB)\n",
            "Installing collected packages: numpy\n",
            "  Attempting uninstall: numpy\n",
            "    Found existing installation: numpy 1.24.2\n",
            "    Uninstalling numpy-1.24.2:\n",
            "      Successfully uninstalled numpy-1.24.2\n",
            "Successfully installed numpy-1.23.3\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "application/vnd.colab-display-data+json": {
              "pip_warning": {
                "packages": [
                  "numpy"
                ]
              }
            }
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Looking in indexes: https://pypi.org/simple, https://us-python.pkg.dev/colab-wheels/public/simple/\n",
            "Collecting scikit-learn==1.1.2\n",
            "  Using cached scikit_learn-1.1.2-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (31.2 MB)\n",
            "Requirement already satisfied: scipy>=1.3.2 in /usr/local/lib/python3.8/dist-packages (from scikit-learn==1.1.2) (1.9.1)\n",
            "Requirement already satisfied: numpy>=1.17.3 in /usr/local/lib/python3.8/dist-packages (from scikit-learn==1.1.2) (1.23.3)\n",
            "Requirement already satisfied: threadpoolctl>=2.0.0 in /usr/local/lib/python3.8/dist-packages (from scikit-learn==1.1.2) (3.1.0)\n",
            "Requirement already satisfied: joblib>=1.0.0 in /usr/local/lib/python3.8/dist-packages (from scikit-learn==1.1.2) (1.2.0)\n",
            "Installing collected packages: scikit-learn\n",
            "  Attempting uninstall: scikit-learn\n",
            "    Found existing installation: scikit-learn 1.2.1\n",
            "    Uninstalling scikit-learn-1.2.1:\n",
            "      Successfully uninstalled scikit-learn-1.2.1\n",
            "Successfully installed scikit-learn-1.1.2\n",
            "Looking in indexes: https://pypi.org/simple, https://us-python.pkg.dev/colab-wheels/public/simple/\n",
            "Collecting git+https://github.com/ntienvu/KnownOptimum_BO\n",
            "  Cloning https://github.com/ntienvu/KnownOptimum_BO to /tmp/pip-req-build-ed_67ga1\n",
            "  Running command git clone --filter=blob:none --quiet https://github.com/ntienvu/KnownOptimum_BO /tmp/pip-req-build-ed_67ga1\n",
            "  Resolved https://github.com/ntienvu/KnownOptimum_BO to commit f51f9528cbe819057b9f8b987298a1bcf523398a\n",
            "  Preparing metadata (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
            "Requirement already satisfied: numpy>=1.9.0 in /usr/local/lib/python3.8/dist-packages (from bayes-opt==1) (1.23.3)\n",
            "Requirement already satisfied: scipy>=0.14.0 in /usr/local/lib/python3.8/dist-packages (from bayes-opt==1) (1.9.1)\n",
            "Requirement already satisfied: scikit-learn>=0.16.1 in /usr/local/lib/python3.8/dist-packages (from bayes-opt==1) (1.1.2)\n",
            "Requirement already satisfied: tqdm>=4.64.0 in /usr/local/lib/python3.8/dist-packages (from bayes-opt==1) (4.65.0)\n",
            "Requirement already satisfied: joblib>=1.0.0 in /usr/local/lib/python3.8/dist-packages (from scikit-learn>=0.16.1->bayes-opt==1) (1.2.0)\n",
            "Requirement already satisfied: threadpoolctl>=2.0.0 in /usr/local/lib/python3.8/dist-packages (from scikit-learn>=0.16.1->bayes-opt==1) (3.1.0)\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "k7r0-kCXQFyp"
      },
      "source": [
        "# Demo on benchmark functions"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 2,
      "metadata": {
        "id": "cZUOpjt7QFyr"
      },
      "outputs": [],
      "source": [
        "import matplotlib.pyplot as plt\n",
        "from bayes_opt import BayesOpt_KnownOptimumValue,BayesOpt\n",
        "import numpy as np\n",
        "from bayes_opt import vis_ERM,functions,utilities\n",
        "import warnings\n",
        "from tqdm.notebook import tqdm\n",
        "\n",
        "\n",
        "warnings.filterwarnings(\"ignore\")\n"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Check numpy and scipy version\n",
        "\n",
        "import scipy\n",
        "import sklearn\n",
        "import sys\n",
        "print('Python version: ', sys.version)\n",
        "\n",
        "print(\"sklearn.__version__\",sklearn.__version__)\n",
        "print(\"np.__version__\",np.__version__)\n",
        "print(\"scipy.__version__\",scipy.__version__)\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "kNjurwmxDBQV",
        "outputId": "a9a3e728-1a1d-4bc4-d492-9d22fd1fdd59"
      },
      "execution_count": 3,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "sklearn.__version__ 1.1.2\n",
            "np.__version__ 1.24.2\n",
            "scipy.__version__ 1.9.1\n",
            "Python version:  3.8.10 (default, Nov 14 2022, 12:59:47) \n",
            "[GCC 9.4.0]\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "# Select a function to run the experiment"
      ],
      "metadata": {
        "id": "iIrwK90qY2en"
      }
    },
    {
      "cell_type": "code",
      "execution_count": 5,
      "metadata": {
        "id": "nyc_xU8TQFyt",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "e8841779-f319-4533-9303-3ac0dd7ba00f"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "func: alpine1\n"
          ]
        }
      ],
      "source": [
        "#myfunction=functions.branin()\n",
        "#myfunction=functions.hartman_3d()\n",
        "#myfunction=functions.ackley(input_dim=5)\n",
        "myfunction=functions.alpine1(input_dim=5)\n",
        "#myfunction=functions.gSobol(a=np.array([1,1,1,1,1]))\n",
        "#myfunction=functions.hartman_6d()\n",
        "\n",
        "print(\"func:\",myfunction.name)\n"
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "# Select a list of acquisition functions to compare\n"
      ],
      "metadata": {
        "id": "LFDOZEmnV9fP"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "acq_type_list=[]\n",
        "\n",
        "temp={}\n",
        "temp['name']='erm' # expected regret minimization\n",
        "temp['IsTGP']=1 # recommended to use tgp for ERM\n",
        "acq_type_list.append(temp)\n",
        "\n",
        "temp={}\n",
        "temp['name']='cbm' # confidence bound minimization\n",
        "temp['IsTGP']=1 # recommended to use tgp for CBM\n",
        "acq_type_list.append(temp)\n",
        "\n",
        "temp={}\n",
        "temp['name']='mes_fstar' # MES+f*\n",
        "temp['IsTGP']=0 # we can try 'tgp'\n",
        "acq_type_list.append(temp)\n",
        "\n",
        "temp={}\n",
        "temp['name']='ucb' # GP-UCB\n",
        "temp['IsTGP']=0 # we can try 'tgp' by setting it =1\n",
        "#acq_type_list.append(temp)\n",
        "\n",
        "temp={}\n",
        "temp['name']='ei' # EI\n",
        "temp['IsTGP']=0 # we can try 'tgp' by setting it =1\n",
        "acq_type_list.append(temp)\n",
        "\n",
        "temp={}\n",
        "temp['name']='random' # random\n",
        "temp['IsTGP']=0 # we can try 'tgp' by setting it =1\n",
        "acq_type_list.append(temp)"
      ],
      "metadata": {
        "id": "yw4_T3V6V_Cm"
      },
      "execution_count": 6,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "spnr_iF7QFyx"
      },
      "source": [
        "# Run the experiments across different acquisition functions\n",
        "\n",
        "---\n",
        "\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 7,
      "metadata": {
        "id": "GQnvei3yQFyx",
        "outputId": "8050333d-3bb5-46ae-eaa4-4101b1186a09",
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      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "==================acquisition type {'name': 'erm', 'IsTGP': 1}\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "  0%|          | 0/10 [00:00<?, ?it/s]"
            ],
            "application/vnd.jupyter.widget-view+json": {
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              "model_id": "1f6b79d8bf2842109587e5da56d2d6b9"
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          },
          "metadata": {}
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        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[ -8.61413684 -14.39890465 -16.93622744 -22.92938243 -11.70222065\n",
            " -13.01072522 -13.49332877 -12.68894879  -8.78322918 -13.00487336\n",
            " -15.15409797 -13.9441531  -17.24393558 -20.47452169  -6.75988881\n",
            "  -8.12591419 -14.469198    -8.34802028 -13.17659066  -9.54663588\n",
            " -14.77856096 -15.09768808 -12.84012187 -14.42964851  -6.34493034\n",
            " -22.88585803 -21.32919125 -11.02997826 -11.1948553   -6.31753501\n",
            "  -8.96602305 -10.70872185 -16.73561512 -12.39584019  -8.99239308\n",
            " -23.31767466 -24.65298135 -19.4515892  -12.99705337 -10.49186809\n",
            " -11.30925785 -10.4499687   -5.92525918 -20.47646113  -4.60174982\n",
            "  -9.80967088  -3.9548899  -17.52915987 -13.30641432  -6.36528729\n",
            " -11.13984317 -10.3837462  -16.30332494 -17.68852538 -12.06990766\n",
            " -19.42259038  -7.85501323 -11.69935174 -10.55628399 -18.66954939\n",
            "  -8.93266315  -6.48732258  -9.01728061 -20.24076348  -5.3943281 ]\n",
            "#repeat=0 Best Found Value=3.955\n",
            "[-19.20197107 -10.03460518 -15.00388297 -10.26837915 -14.92700071\n",
            " -25.71779153 -14.40445654 -14.58134142 -20.61300344 -23.35092766\n",
            " -12.49596302 -13.76002529 -15.22647105  -8.06070803 -20.83233853\n",
            "  -9.23420749  -5.04175385  -8.53250073  -6.88548046 -11.21937517\n",
            " -12.11883919  -7.61510554  -2.69544946 -10.19247895 -10.58454419\n",
            "  -6.46534211  -8.40746214 -13.72289129 -12.64344213 -11.96568528\n",
            "  -3.54659662 -13.49906973  -6.10078864 -11.78102904  -5.47010914\n",
            " -17.75672542  -6.82565274 -10.34348908  -9.92935609  -6.63492256\n",
            " -13.97323089  -7.82286725 -11.72730987 -13.23806923 -10.72320082\n",
            "  -5.49798156 -10.60312113  -8.45954211 -11.35736965  -5.92184374\n",
            " -15.98735871 -15.20676047 -11.95106799 -14.78298129  -9.76125177\n",
            "  -3.40304129  -6.67556117 -11.94030759  -8.42692308 -10.70140474\n",
            "  -9.49487008 -13.88045222 -12.31201657 -11.14127654 -18.834344  ]\n",
            "#repeat=1 Best Found Value=2.695\n",
            "[ -6.06309378 -14.39576049  -8.28773975 -19.49980971 -19.44095935\n",
            " -17.79858237  -4.08439844 -10.09663744 -12.56384367 -10.15373082\n",
            " -15.19671959 -16.04606497 -12.3428768   -5.14639945 -11.46815829\n",
            "  -5.21791327  -2.70615533  -3.15714335 -11.13440756  -6.8046569\n",
            "  -6.65099565  -5.94915935  -1.95710061  -3.47439466  -9.91188067\n",
            "  -5.89761363  -6.87120682 -12.71316601  -3.00523286 -11.68599187\n",
            "  -2.60531023 -12.20416216  -1.86846603  -8.46835291  -4.22933268\n",
            "  -3.3383788   -7.25118029 -13.20422257  -4.10514552  -6.21644972\n",
            "  -9.36485612  -8.43169456  -4.30448619  -5.17955459 -12.08666479\n",
            " -11.88659374  -6.54329742  -9.02043798 -10.41855019  -3.74589178\n",
            "  -8.33004643 -17.23316534 -10.86949083  -5.36987246 -14.68318448\n",
            "  -2.95068281  -3.15485893 -10.04907141 -15.02266763 -17.94030915\n",
            "  -6.93065672  -5.48053557 -10.81877432 -11.00940426  -2.72338997]\n",
            "#repeat=2 Best Found Value=1.868\n",
            "[-16.83737216 -21.97423789  -7.73471525 -11.79505859 -11.45643792\n",
            " -18.1651579  -15.54560628 -13.84392939 -11.47363367 -18.16417561\n",
            " -12.21269862 -12.09553831  -5.2304954  -16.13488902  -8.84438073\n",
            "  -4.89304861  -6.84853855 -11.46783187  -7.772502    -8.62137733\n",
            "  -5.80985416 -10.0810966   -6.13882155  -4.28239449 -10.98623497\n",
            " -13.68854297  -5.21663412  -3.85581308  -8.77875209 -13.780178\n",
            " -14.10711633 -14.32112691  -9.09268498 -13.41549716  -6.81506063\n",
            "  -4.42470582  -7.77359958  -9.75875104  -9.77203983 -12.38428201\n",
            " -11.30646327 -15.33636125 -16.55412168  -7.43554581 -10.63790187\n",
            " -13.79711242 -14.44666226  -7.42170978  -4.70742193 -21.25528466\n",
            "  -6.88598367  -9.64006866 -12.35676998  -5.81659719  -8.69012295\n",
            "  -1.91621266 -11.77237282  -4.44689757  -4.89630004 -14.40122515\n",
            " -10.2425049   -5.42924165  -8.74884384  -7.18172629 -14.80889561]\n",
            "#repeat=3 Best Found Value=1.916\n",
            "[ -9.22850238 -15.52513377 -15.33997578 -13.67429633 -16.3603105\n",
            " -15.39489323 -16.86408856  -4.75063378  -8.65451693  -9.85404494\n",
            " -12.11128464 -13.75874629 -17.7166157  -22.41779873 -19.89979357\n",
            "  -5.87237125  -6.57657123  -8.0170595   -3.16107223  -9.19643607\n",
            "  -7.18930445 -13.6360625   -6.00634835  -4.51860517  -7.44326783\n",
            " -15.21509903 -13.18036201  -4.26133681 -14.75285991  -5.02522976\n",
            "  -8.85658673 -16.37259527  -8.96172314 -11.32840488  -9.63619519\n",
            " -11.97678716  -4.7197663  -15.80056609 -15.025738   -13.34533587\n",
            "  -5.04511971  -2.10036834 -13.11381613 -16.57350839  -8.15136327\n",
            "  -4.10131716  -6.04700163 -10.33691668 -16.69231239  -6.56792668\n",
            " -14.40899527 -13.52328299  -7.60570636  -3.76641323 -12.59845573\n",
            "  -7.80185321 -14.05615813  -7.05838858  -6.41990299 -10.97655368\n",
            "  -5.01688492 -12.64518402 -11.20942132 -11.66669152 -17.82965068]\n",
            "#repeat=4 Best Found Value=2.100\n",
            "[-22.79246371 -10.49795535 -22.64528701 -13.49920764 -18.24924537\n",
            " -12.67493039 -12.24173416 -10.98674635 -27.35298475  -4.31082248\n",
            " -18.22612297 -11.30899843 -19.69725848 -10.38655033 -11.69150058\n",
            "  -4.33335104  -3.79202783  -7.18635691 -19.0799777   -9.00830795\n",
            "  -8.09998764 -12.25089621 -15.05056532 -15.62556173 -16.55263167\n",
            "  -8.42544309  -8.60531206  -5.466298   -14.241724    -6.61414536\n",
            " -10.19385291  -6.05416511  -4.6964944  -12.29428951  -5.94798734\n",
            " -11.33200832 -13.73008728  -6.9091398  -15.15473543  -3.84093396\n",
            " -10.32017157  -8.06747282  -7.57018388 -13.62363407 -11.23431479\n",
            " -10.41380528  -2.9652921  -11.19633676 -12.55301345 -13.53804008\n",
            "  -4.63811051  -8.11294898  -9.90593687 -10.19175756  -7.53756769\n",
            "  -5.63292811  -6.63210566  -3.38631146  -4.61033163  -3.90696322\n",
            "  -6.43725698  -6.18748944  -7.36711898  -9.65647968  -3.63785469]\n",
            "#repeat=5 Best Found Value=2.965\n",
            "[-19.74658312  -6.4711604   -8.15547107 -15.31793135 -15.45434298\n",
            " -15.82971581 -14.95131163 -17.13514878 -13.06083258 -16.13499586\n",
            " -10.52267377 -12.90928582 -13.97579869  -9.73615534 -21.09327667\n",
            "  -3.0934303   -3.27512247  -3.15079104  -3.19178378  -2.67920596\n",
            "  -2.51788789  -5.81060238  -7.12740503  -4.11118084  -5.01043568\n",
            "  -7.73457132  -2.24256832  -7.22389448  -2.42836625 -14.05881736\n",
            "  -2.71405011  -4.52121411  -4.3179296   -4.7392791   -7.19577111\n",
            "  -9.34310817  -9.97354201  -5.6638824   -6.72959078  -5.99924027\n",
            "  -4.76819146  -8.31982782  -5.77029987  -9.83346303  -2.57706632\n",
            "  -2.0891244   -7.96718564  -5.28163495  -3.1993219   -7.26464786\n",
            "  -9.56592573  -9.77398894  -3.15347725 -10.76867994 -19.52030132\n",
            "  -1.37887176  -0.69645635  -2.39003145  -9.15773799 -16.24395365\n",
            "  -3.77563342 -10.2974494   -5.44715132 -12.3628568   -3.2180713 ]\n",
            "#repeat=6 Best Found Value=0.696\n",
            "[-14.29159505 -11.35772218 -12.42966196 -21.54523443 -20.79771256\n",
            " -10.97509518  -5.03276776 -16.27239221  -2.86548786 -18.2546101\n",
            "  -5.92673008 -19.00803575 -13.22419474 -17.72071187 -17.59037518\n",
            "  -5.63983021  -7.90222433  -3.58127891  -9.70023564  -3.67024324\n",
            " -11.62899851 -10.56071572  -6.40486737  -4.54056903  -3.89249771\n",
            "  -5.46334989  -7.21126177  -5.78148655 -12.00530678  -6.14405809\n",
            "  -5.50514073 -13.69932182  -3.80254098  -4.15217541 -11.46899332\n",
            " -10.09600377  -6.76547319  -5.27515278  -3.58833407 -13.5226755\n",
            "  -7.58942153 -13.16668219 -10.43135397  -3.04510595  -6.14125886\n",
            "  -5.78074876  -8.12745789 -11.8074241  -12.91657566 -11.42596553\n",
            "  -6.0273625   -8.56050479  -6.7870191   -8.32664737  -8.40121209\n",
            " -15.80214289  -7.47870881  -9.68680156 -16.19919253  -4.57477512\n",
            " -11.30936105 -13.57674496  -4.76777634 -14.22769161 -12.57308515]\n",
            "#repeat=7 Best Found Value=2.865\n",
            "[-21.69450533  -7.53036234 -11.1324571  -10.85649691 -19.67741299\n",
            " -16.47663002 -12.66909973 -10.43716932  -9.82956491  -8.05379511\n",
            " -10.67489827 -24.15402777  -7.11564382  -8.58848273 -12.1369099\n",
            "  -7.44564142  -8.40160202  -5.28677715  -9.53943973 -12.01694003\n",
            "  -7.3165821   -8.87173034 -13.43356022  -5.66785846 -15.48347885\n",
            "  -6.21532125  -8.31121999  -5.24312438 -11.36966414 -12.7023238\n",
            "  -8.00400797  -5.00303328  -5.75430039 -11.19374497 -11.13103415\n",
            "  -8.28543054  -9.0770019   -9.96998867 -15.96687582 -15.5914361\n",
            " -14.29663709  -9.39141619  -9.38928331  -9.94874096 -12.8679769\n",
            "  -4.79321625 -18.45520515 -11.38466272 -12.1578271   -5.81413098\n",
            " -21.14689748  -9.93386282 -14.1220407  -12.48718579  -4.90454718\n",
            " -18.97976144 -17.77904026  -8.60472376 -11.43305575 -12.68879849\n",
            " -13.64352296 -21.29131108  -9.90849748 -14.75563524 -12.65600455]\n",
            "#repeat=8 Best Found Value=4.793\n",
            "[-14.86668488 -17.48401262 -17.77734876 -14.28144586 -12.12068052\n",
            "  -8.93646776 -14.07062516 -20.90903676 -10.67409671 -14.10342792\n",
            "  -6.78997061 -10.87990615 -17.16483053  -6.77822453 -13.84004065\n",
            " -14.40107388 -10.47354629 -12.87214015  -6.64282514 -11.77897933\n",
            "  -9.43400047 -15.32955045 -10.170492   -11.08495418 -11.63073222\n",
            " -17.26296811 -15.15912348  -9.70933423 -15.12384457  -6.90065463\n",
            " -13.4742327  -29.96077223 -16.66421132 -12.99269493  -9.6468389\n",
            " -18.70764878 -12.42846884  -8.16430397 -12.27850031  -9.07905359\n",
            " -16.38698349 -22.43938294  -8.31247673 -23.10038693 -11.33495991\n",
            " -17.40231879 -11.85224758 -20.4438841   -5.86044882 -10.43294897\n",
            "  -7.51188459  -8.12587175 -12.58204653  -4.15711302 -13.79677839\n",
            "  -4.41898871  -7.82007793 -12.07049525  -9.01640171  -7.67312584\n",
            " -23.79037403 -15.75543345  -3.94779936  -3.38252268 -10.94431079]\n",
            "#repeat=9 Best Found Value=3.383\n",
            "==================acquisition type {'name': 'cbm', 'IsTGP': 1}\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "  0%|          | 0/10 [00:00<?, ?it/s]"
            ],
            "application/vnd.jupyter.widget-view+json": {
              "version_major": 2,
              "version_minor": 0,
              "model_id": "191eecdef7694b69961136fdbf826a35"
            }
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[ -8.61413684 -14.39890465 -16.93622744 -22.92938243 -11.70222065\n",
            " -13.01072522 -13.49332877 -12.68894879  -8.78322918 -13.00487336\n",
            " -15.15409797 -13.9441531  -17.24393558 -20.47452169  -6.75988881\n",
            "  -8.12589172 -14.02229067 -17.06366022 -14.47739041  -4.21809969\n",
            "  -8.37231747 -13.58548022 -14.76406556 -10.09434643 -23.31351512\n",
            " -15.13640259 -12.94975419 -20.62274251 -11.73380522 -20.60609699\n",
            "  -3.86612811  -5.29969534  -4.44810703 -15.90482663 -16.61475293\n",
            " -13.03876899 -10.13104679  -5.39885837  -9.18386451 -10.97736198\n",
            " -12.87845088  -9.80889337 -12.28548521 -10.18451223 -10.94819995\n",
            "  -9.62335668 -11.65518878  -6.36528814  -5.58461719 -14.46102725\n",
            " -12.25940994 -16.13329941  -8.42877746  -8.37389981  -9.18802496\n",
            " -17.37111254 -23.78706268 -12.34456588  -9.79301617  -7.43074547\n",
            "  -6.37318149 -20.67224437 -13.70980871 -10.1174102  -16.85623995]\n",
            "#repeat=0 Best Found Value=3.866\n",
            "[-19.20197107 -10.03460518 -15.00388297 -10.26837915 -14.92700071\n",
            " -25.71779153 -14.40445654 -14.58134142 -20.61300344 -23.35092766\n",
            " -12.49596302 -13.76002529 -15.22647105  -8.06070803 -20.83233853\n",
            "  -9.2342258   -4.3449266  -10.63650441 -17.47943051  -7.5020809\n",
            "  -6.46524287  -5.76630639 -12.49375568 -10.43982747  -9.67480032\n",
            "  -9.05014945 -14.52188832  -5.75030851  -5.10159918 -12.58955953\n",
            "  -9.0749445   -6.61651457 -10.59186658 -16.327648   -15.08424047\n",
            " -11.11706441  -6.37398166 -11.72374474  -8.82320586  -5.99991002\n",
            " -18.3570723   -5.21001906  -8.69401308 -13.44044325 -14.32666753\n",
            "  -9.53727987 -17.12477649 -16.35847073 -15.50455809 -10.54612425\n",
            "  -8.38634697  -9.35387435 -17.72585576 -11.48646014 -18.78477811\n",
            "  -9.49636217 -10.93472339  -6.91292559  -7.18946405  -7.7915094\n",
            "  -5.48780411 -15.6701239   -6.20345808  -3.60218878  -7.79354031]\n",
            "#repeat=1 Best Found Value=3.602\n",
            "[ -6.06309378 -14.39576049  -8.28773975 -19.49980971 -19.44095935\n",
            " -17.79858237  -4.08439844 -10.09663744 -12.56384367 -10.15373082\n",
            " -15.19671959 -16.04606497 -12.3428768   -5.14639945 -11.46815829\n",
            "  -3.05273233 -10.33906387  -8.13050351 -19.29058307 -10.60076717\n",
            "  -7.87154785  -7.88612507  -7.36542464 -21.01903797 -18.23748957\n",
            " -16.75631508 -10.46905474  -4.05672838 -12.10317256  -7.54088103\n",
            " -18.29011914 -12.92623018 -12.21962047 -11.8072549   -5.09889655\n",
            "  -6.20030353  -5.21573762  -1.09303227 -12.40072265  -8.48469185\n",
            "  -6.07947253 -24.76571111 -21.63549437 -16.55799015 -18.98464803\n",
            " -12.91086363 -11.20617646  -8.96542377  -7.9158372   -7.66826706\n",
            " -15.27185793 -17.49269771 -12.59114157 -11.85040778 -11.49002573\n",
            "  -7.59893238 -15.35225739  -9.65440829 -13.93299094 -12.42511948\n",
            " -14.60495048  -9.26315866  -6.84502196  -9.16836657 -11.20668481]\n",
            "#repeat=2 Best Found Value=1.093\n",
            "[-16.83737216 -21.97423789  -7.73471525 -11.79505859 -11.45643792\n",
            " -18.1651579  -15.54560628 -13.84392939 -11.47363367 -18.16417561\n",
            " -12.21269862 -12.09553831  -5.2304954  -16.13488902  -8.84438073\n",
            "  -4.89305136  -6.33250601  -4.81797926 -10.4754105   -6.76280809\n",
            "  -8.50440823  -4.13819597  -8.44497428 -11.07109895 -11.7731347\n",
            "  -9.58525461  -6.81935549  -9.13078053 -11.48703799 -14.37821479\n",
            " -11.19893299 -20.92006117 -12.07309886 -12.47080969  -6.76737932\n",
            "  -4.45804005  -4.76900523  -2.9099932  -10.89778714  -7.11750326\n",
            "  -6.9378697   -6.76189127 -13.89683513 -10.33166544  -7.32992601\n",
            " -16.82788604  -6.91327651 -13.62086314  -7.66593341  -7.83818509\n",
            "  -9.61103784 -10.30490951  -9.63104471  -5.2892082  -21.21538465\n",
            "  -2.85674503 -12.0485671  -10.56457087  -9.03039592  -4.9793306\n",
            "  -8.37793825  -5.74605738 -10.14775675  -6.24082398  -7.64502202]\n",
            "#repeat=3 Best Found Value=2.857\n",
            "[ -9.22850238 -15.52513377 -15.33997578 -13.67429633 -16.3603105\n",
            " -15.39489323 -16.86408856  -4.75063378  -8.65451693  -9.85404494\n",
            " -12.11128464 -13.75874629 -17.7166157  -22.41779873 -19.89979357\n",
            "  -5.87236872  -5.02222765  -9.86664649  -4.36404548  -4.01557721\n",
            " -17.95146104 -11.06879478 -19.42518925 -13.63069029 -12.07242795\n",
            " -12.73493926 -25.11495237  -8.80447305  -8.39906201 -14.16156318\n",
            "  -8.44181548  -4.00982573 -12.76891056  -8.76205319  -6.91764002\n",
            "  -9.57825893  -5.88901018 -20.02338041  -7.11435849  -4.0164247\n",
            " -25.35947993 -13.66351389  -7.96415766 -20.9516723  -14.91116914\n",
            "  -5.43070117 -17.1306973   -8.42041774 -15.52085283 -22.6734214\n",
            " -15.25281718 -15.51585266  -9.05151217  -9.64185375 -12.5719708\n",
            " -19.02856195 -27.26740751 -14.53141242  -4.42242567  -8.86763339\n",
            "  -8.71645909  -6.071678    -4.9101485   -3.0453903   -4.94103748]\n",
            "#repeat=4 Best Found Value=3.045\n",
            "[-22.79246371 -10.49795535 -22.64528701 -13.49920764 -18.24924537\n",
            " -12.67493039 -12.24173416 -10.98674635 -27.35298475  -4.31082248\n",
            " -18.22612297 -11.30899843 -19.69725848 -10.38655033 -11.69150058\n",
            "  -4.33335486 -13.88485631  -9.32349167  -5.91841827 -28.7066742\n",
            " -12.09089584 -15.19504902 -16.00726111 -20.92569561 -11.20698687\n",
            " -21.29571967 -16.19175904 -14.05177855 -12.88042477 -11.17033254\n",
            "  -8.05373294  -9.93656559 -14.76633267 -15.96911617 -19.88521584\n",
            " -19.06725288 -10.53108589  -9.78439476 -10.30787008 -12.32958697\n",
            "  -5.74528379 -12.24170461  -9.68446021 -20.37002826 -11.70178439\n",
            " -15.41413578 -11.66380223 -12.23729572 -12.46465133 -22.6941888\n",
            " -12.29752638  -7.61889617  -6.60855825  -7.0946687   -3.73958565\n",
            "  -4.48575602  -9.33948534 -14.3512541  -17.19820359  -7.33817172\n",
            "  -7.77714505  -8.54218389 -16.38005188 -19.92050591  -9.04679403]\n",
            "#repeat=5 Best Found Value=3.740\n",
            "[-19.74658312  -6.4711604   -8.15547107 -15.31793135 -15.45434298\n",
            " -15.82971581 -14.95131163 -17.13514878 -13.06083258 -16.13499586\n",
            " -10.52267377 -12.90928582 -13.97579869  -9.73615534 -21.09327667\n",
            "  -3.09342994  -3.06996873  -3.04610407  -3.01989577  -3.02884499\n",
            " -13.69203562 -20.82882738 -14.45191995 -13.95226256 -13.12664314\n",
            " -12.24452274 -15.21119731 -12.55539211 -14.85250764 -16.88810671\n",
            "  -4.78280003  -3.26988994  -3.00095552  -3.1518407   -2.9572588\n",
            "  -2.5072133   -1.94543324  -1.90495143  -1.74425288  -0.88548537\n",
            "  -1.26240123  -7.70345154  -3.15185597  -2.13975377  -4.56651098\n",
            "  -7.55500021 -10.60437872 -15.24166701  -3.64618169 -16.24211914\n",
            "  -5.76339385  -0.58163987  -1.81459276 -14.93598911  -8.99061573\n",
            " -10.27571964  -9.49955944 -18.80283547 -11.01267632  -3.41853366\n",
            " -16.59485957  -9.58307958 -16.5937925   -2.3670659  -10.69833325]\n",
            "#repeat=6 Best Found Value=0.582\n",
            "[-14.29159505 -11.35772218 -12.42966196 -21.54523443 -20.79771256\n",
            " -10.97509518  -5.03276776 -16.27239221  -2.86548786 -18.2546101\n",
            "  -5.92673008 -19.00803575 -13.22419474 -17.72071187 -17.59037518\n",
            "  -5.99390667  -9.08012204 -10.19707148  -5.47978675  -8.36369633\n",
            "  -5.34575889  -5.05738911  -2.93123652  -5.10246218  -6.75848948\n",
            "  -8.73672586 -10.13738673  -8.65001737  -9.50701456  -8.68903716\n",
            "  -7.74320718  -7.88296361 -19.72591616  -6.82694864  -8.78023887\n",
            " -13.29590198 -10.75259019  -7.91308377  -2.35503959  -5.75056017\n",
            "  -6.13151773  -7.89956087  -3.97634256  -3.95586359  -5.08753941\n",
            " -10.92962898  -4.79241239  -7.23437269 -10.74692137 -10.8105427\n",
            " -20.30446216  -4.95576305  -3.94115022 -10.17324755  -9.98939745\n",
            " -11.73870787 -16.43802822 -14.1449764   -6.50737332 -10.60613213\n",
            "  -7.29961893  -5.3058191   -4.70130933  -8.37046694  -5.1477729 ]\n",
            "#repeat=7 Best Found Value=2.355\n",
            "[-21.69450533  -7.53036234 -11.1324571  -10.85649691 -19.67741299\n",
            " -16.47663002 -12.66909973 -10.43716932  -9.82956491  -8.05379511\n",
            " -10.67489827 -24.15402777  -7.11564382  -8.58848273 -12.1369099\n",
            "  -6.55558452  -7.1996437  -10.29276515  -7.92530195  -9.87871535\n",
            "  -2.14159062  -1.7994222   -9.39841184  -9.36790508  -9.74577651\n",
            "  -8.01215466  -7.58042746 -10.79882091 -11.91477037  -9.86048819\n",
            "  -5.1284127   -9.46214915 -10.17429926  -9.53010219 -12.51464629\n",
            " -11.97415257 -12.81991263  -8.91292035 -11.05608508 -20.73165176\n",
            " -14.88352622 -10.5629473  -15.20348174 -18.89149401 -15.35341665\n",
            " -10.12977491 -18.77392426 -21.35091431 -11.31296869  -9.95261054\n",
            " -10.2376596   -8.21780997 -12.68021808  -6.60498245  -9.65961864\n",
            " -14.40351718 -10.80517873 -10.20360167 -10.05960298 -14.54079342\n",
            " -12.47690869 -10.24825776 -12.33605491 -12.91389246 -18.48441041]\n",
            "#repeat=8 Best Found Value=1.799\n",
            "[-14.86668488 -17.48401262 -17.77734876 -14.28144586 -12.12068052\n",
            "  -8.93646776 -14.07062516 -20.90903676 -10.67409671 -14.10342792\n",
            "  -6.78997061 -10.87990615 -17.16483053  -6.77822453 -13.84004065\n",
            " -14.40107388  -6.80792488  -5.90051173  -5.92851995 -20.059542\n",
            "  -7.60847527 -16.36156215  -9.34090123  -8.46344598 -19.37217641\n",
            " -18.36463373 -24.10520265 -12.00742949 -17.26855128 -14.56049081\n",
            " -14.53673837 -11.64005914 -13.92243565 -11.59181362 -10.57661734\n",
            " -14.45174151 -12.7137637  -13.47355737 -14.75293399  -9.97896754\n",
            " -10.93449829 -18.0948189  -15.30368154 -16.53802341  -4.51186442\n",
            " -10.06622099  -7.40753139 -11.74682168 -15.22695032 -12.64343465\n",
            " -12.49391344 -15.742309   -17.14583443 -10.92808279  -7.83871757\n",
            " -18.02274189 -13.60598368 -18.33462324 -12.11176731 -10.86674896\n",
            "  -9.90473607  -9.18638886 -16.19708751 -15.717036   -12.63164471]\n",
            "#repeat=9 Best Found Value=4.512\n",
            "==================acquisition type {'name': 'mes_fstar', 'IsTGP': 0}\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "  0%|          | 0/10 [00:00<?, ?it/s]"
            ],
            "application/vnd.jupyter.widget-view+json": {
              "version_major": 2,
              "version_minor": 0,
              "model_id": "59996852c2a942619eccce1450fb3bdf"
            }
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          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[ -8.61413684 -14.39890465 -16.93622744 -22.92938243 -11.70222065\n",
            " -13.01072522 -13.49332877 -12.68894879  -8.78322918 -13.00487336\n",
            " -15.15409797 -13.9441531  -17.24393558 -20.47452169  -6.75988881\n",
            " -17.93338823 -12.24529342  -9.57033573 -12.04159194 -17.13281121\n",
            " -22.55010295 -25.54670277 -12.58826275 -27.0780441  -27.34125779\n",
            " -26.3403565  -28.20105554 -28.20105554 -16.54770277 -13.12934638\n",
            "  -8.87308999 -22.77276761 -24.20105554 -26.83321875 -21.0064212\n",
            " -25.39222661 -25.6715392  -27.91135322 -28.60974529 -15.33787734\n",
            " -19.48544031 -26.20105554 -28.20105554 -24.20105554 -21.52302222\n",
            "  -7.69853538 -20.5340818  -13.87665821 -15.44386677 -16.35311784\n",
            " -23.23115437 -12.76344881 -18.48237369 -26.20105554 -11.43386692\n",
            " -21.90009677 -29.00440207 -11.9994046  -16.69234259 -12.00781621\n",
            " -12.92470625 -15.91884881 -19.24854104 -16.93765968 -20.86285586]\n",
            "#repeat=0 Best Found Value=6.760\n",
            "[-19.20197107 -10.03460518 -15.00388297 -10.26837915 -14.92700071\n",
            " -25.71779153 -14.40445654 -14.58134142 -20.61300344 -23.35092766\n",
            " -12.49596302 -13.76002529 -15.22647105  -8.06070803 -20.83233853\n",
            " -10.42596682 -13.17313896  -8.08771562 -10.18202514  -6.35432378\n",
            "  -5.95879363 -11.86407292 -15.0399188  -23.29625157 -15.23479685\n",
            " -25.80571674 -33.6797636  -24.56045356 -30.20105554 -26.70878834\n",
            " -22.91554826 -28.13509445 -32.20105554 -17.06293982 -24.27138926\n",
            " -21.12666033 -28.20105554 -30.20105554 -24.781774   -26.99524026\n",
            " -24.74036264 -12.85759486 -21.1130771  -14.07744884 -21.31316723\n",
            " -25.71943688 -14.04783901 -18.53187607 -28.20105554 -18.93846491\n",
            " -28.20105554 -22.80995105 -11.15087683 -20.45894093 -19.4445579\n",
            " -18.28044362 -13.2341131  -22.20105554 -20.33310196 -23.49045412\n",
            " -30.20105554 -16.14783283 -14.45078848 -14.82667662 -19.91561566]\n",
            "#repeat=1 Best Found Value=5.959\n",
            "[ -6.06309378 -14.39576049  -8.28773975 -19.49980971 -19.44095935\n",
            " -17.79858237  -4.08439844 -10.09663744 -12.56384367 -10.15373082\n",
            " -15.19671959 -16.04606497 -12.3428768   -5.14639945 -11.46815829\n",
            "  -4.31070638 -16.01383755 -27.29899367 -16.48338072 -14.21963844\n",
            " -28.20105554 -25.88572114 -21.20035643 -26.3261828  -26.44200842\n",
            " -26.75966954 -28.20105554 -30.28420132 -28.74390244 -28.51372154\n",
            " -13.61038569 -30.01089518 -22.22185001 -28.20105554 -21.66609083\n",
            " -22.15358449 -23.16818776 -28.20105554 -30.20105554 -11.59318135\n",
            " -10.87677701 -28.20105554 -15.42054451 -19.90716743 -18.03226469\n",
            " -15.50932666 -26.20105554 -16.5607614  -16.3625303  -17.77292004\n",
            " -18.68474167 -13.86194549 -18.77044632 -15.59659034 -32.20105554\n",
            " -19.10620794 -11.54896563 -12.1262685  -19.48546888 -22.10887151\n",
            "  -9.57005797 -20.64418892 -18.42957422 -18.4020158  -18.0586914 ]\n",
            "#repeat=2 Best Found Value=4.084\n",
            "[-16.83737216 -21.97423789  -7.73471525 -11.79505859 -11.45643792\n",
            " -18.1651579  -15.54560628 -13.84392939 -11.47363367 -18.16417561\n",
            " -12.21269862 -12.09553831  -5.2304954  -16.13488902  -8.84438073\n",
            "  -5.08415641  -9.37546553  -5.96843646  -5.9879801   -5.83626393\n",
            " -11.9280725  -10.18766354 -17.59456292 -19.99976235 -19.89435193\n",
            " -23.02229764 -21.78412247 -22.2873376  -24.02341944 -24.78021408\n",
            " -12.35559345 -20.61001876 -24.20105554 -26.6447889  -26.20105554\n",
            " -23.13407952 -20.54586667 -24.59375616 -26.70198914 -26.06953936\n",
            " -28.20105554 -28.20105554 -28.07229795 -25.76154734 -26.79840564\n",
            " -22.20105554 -26.84215679 -28.20105554 -24.20105554 -22.21846553\n",
            " -30.20105554 -18.14687661 -12.03878876 -16.6198476  -16.59390183\n",
            " -15.58253247 -18.596918   -17.65743971 -12.79110157 -21.69868676\n",
            " -24.54247615 -14.29320011 -17.64698292 -16.39649091 -16.98525755]\n",
            "#repeat=3 Best Found Value=5.084\n",
            "[ -9.22850238 -15.52513377 -15.33997578 -13.67429633 -16.3603105\n",
            " -15.39489323 -16.86408856  -4.75063378  -8.65451693  -9.85404494\n",
            " -12.11128464 -13.75874629 -17.7166157  -22.41779873 -19.89979357\n",
            "  -5.51823549  -8.13205232  -6.0792062   -5.80005863  -6.39225094\n",
            "  -6.1984321   -9.13377184  -9.59261643  -5.78357166  -9.63798133\n",
            " -17.80736473 -11.44267998 -12.86858653 -11.24190261 -17.24903437\n",
            " -16.04127698 -18.04144501  -7.45605442 -19.17772991 -10.25386398\n",
            " -25.48065719 -30.31117492 -27.57304019 -19.87875429 -30.11954704\n",
            " -23.21501806 -28.83724495 -26.20105554 -21.50180115 -24.66815174\n",
            "  -8.83931774 -26.20105554 -28.20105554 -23.08186313 -28.20105554\n",
            " -22.27376088 -19.17424245 -24.08410199 -18.04383279 -20.696203\n",
            " -30.20105554 -26.20105554 -17.04238497 -24.76222452 -21.84571977\n",
            " -14.74532883 -24.20105554 -22.38102854 -21.13220303 -16.61473244]\n",
            "#repeat=4 Best Found Value=4.751\n",
            "[-22.79246371 -10.49795535 -22.64528701 -13.49920764 -18.24924537\n",
            " -12.67493039 -12.24173416 -10.98674635 -27.35298475  -4.31082248\n",
            " -18.22612297 -11.30899843 -19.69725848 -10.38655033 -11.69150058\n",
            " -11.14950043 -12.42187014 -16.1882886  -22.83450001 -22.55733028\n",
            " -18.40839132 -21.91901303 -20.39361636 -26.96165861 -26.20105554\n",
            " -26.85326787 -27.5109272  -27.2874644  -22.49688968 -31.23646265\n",
            " -14.6036957  -22.90575655 -19.87635396 -26.20105554 -24.20105554\n",
            " -16.73557283 -19.00263052 -21.78753085 -22.02689768 -19.78770872\n",
            " -21.84978607 -11.2222779  -20.88980012 -23.71197895 -19.3931548\n",
            " -16.96855938 -11.34623885 -19.7935142  -15.51214996 -15.48538873\n",
            " -16.87521974 -22.35871852 -18.04744509 -19.74452277 -19.30242037\n",
            " -13.15335686 -27.06226383 -19.44213439 -18.39120139 -12.9901257\n",
            " -19.98937134 -18.25920318 -26.80349581 -21.76246628 -24.20105554]\n",
            "#repeat=5 Best Found Value=4.311\n",
            "[-19.74658312  -6.4711604   -8.15547107 -15.31793135 -15.45434298\n",
            " -15.82971581 -14.95131163 -17.13514878 -13.06083258 -16.13499586\n",
            " -10.52267377 -12.90928582 -13.97579869  -9.73615534 -21.09327667\n",
            "  -3.00628495  -2.16601299  -7.62804066 -10.61145406 -19.95440276\n",
            " -25.32206137 -14.66573495 -12.99964153 -24.81716892 -26.29234332\n",
            " -23.51248731 -26.10684023 -18.5712278  -24.20105554 -19.98804992\n",
            " -10.59752389 -28.20105554 -26.0907554  -28.20105554 -26.20105554\n",
            " -24.90500043 -25.9836013  -19.66016945 -30.20105554 -30.20105554\n",
            " -28.3743409  -19.78547862 -24.79638758 -19.5066856  -16.86128084\n",
            "  -2.96264539 -17.21381981 -14.49851291 -19.52183991 -19.04436568\n",
            " -18.50498308 -26.8298728  -19.48369593 -21.25971997 -16.68084595\n",
            " -22.38765909 -16.63762283 -18.48903836 -16.08291147 -15.57135717\n",
            "  -3.39113307 -21.35098688 -18.70434777 -17.82446522 -15.76615073]\n",
            "#repeat=6 Best Found Value=2.166\n",
            "[-14.29159505 -11.35772218 -12.42966196 -21.54523443 -20.79771256\n",
            " -10.97509518  -5.03276776 -16.27239221  -2.86548786 -18.2546101\n",
            "  -5.92673008 -19.00803575 -13.22419474 -17.72071187 -17.59037518\n",
            "  -8.95052792 -15.18833923 -23.05782043 -22.89035672 -29.06850299\n",
            " -25.27258561 -26.28230926 -17.27055367 -26.37546976 -16.64573585\n",
            " -25.31224346 -28.20105554 -23.50320398 -25.35688788 -25.76172238\n",
            " -32.20105554 -24.22860918 -26.20105554 -21.5491372  -19.93577192\n",
            " -13.16005608 -20.03972401 -24.14341115 -11.56005814 -21.31391879\n",
            " -25.92747363 -21.76158746 -20.0517514  -18.11075279 -18.36752181\n",
            " -21.15839093 -26.20105554 -14.32737454 -14.11311633 -20.05976093\n",
            " -19.14479761 -16.21758553 -13.20450182 -17.98596883 -15.90447595\n",
            " -20.30015359 -21.59367881 -19.3516427  -15.4443627  -26.20105554\n",
            " -26.20105554 -21.05761162 -19.13294139 -25.68528417 -21.0731702 ]\n",
            "#repeat=7 Best Found Value=2.865\n",
            "[-21.69450533  -7.53036234 -11.1324571  -10.85649691 -19.67741299\n",
            " -16.47663002 -12.66909973 -10.43716932  -9.82956491  -8.05379511\n",
            " -10.67489827 -24.15402777  -7.11564382  -8.58848273 -12.1369099\n",
            "  -5.52128992  -6.49225575  -6.42376596 -10.9204639  -14.36166899\n",
            " -25.32614099 -23.51356026 -24.93619484 -29.39024049 -24.775042\n",
            " -24.07189775 -20.67703051 -15.14236869 -31.19252025 -30.71264819\n",
            "  -8.17261584 -24.19367836 -30.20105554 -28.04049671 -20.3990348\n",
            " -16.7130405  -28.20105554 -18.86810155 -26.20105554 -28.47801135\n",
            " -26.65740484 -22.42936268 -14.12833214 -22.82604013 -15.1384866\n",
            " -10.53399609 -22.4524408  -29.95010608 -22.79198421 -17.8129767\n",
            " -19.54853125 -24.01980775 -18.83693443 -16.1864074  -16.33763645\n",
            " -20.1564704  -22.52258561 -16.56351225 -22.06168306 -18.4652778\n",
            " -21.9179695  -22.64770134 -11.32991845 -20.35720517 -14.10943289]\n",
            "#repeat=8 Best Found Value=5.521\n",
            "[-14.86668488 -17.48401262 -17.77734876 -14.28144586 -12.12068052\n",
            "  -8.93646776 -14.07062516 -20.90903676 -10.67409671 -14.10342792\n",
            "  -6.78997061 -10.87990615 -17.16483053  -6.77822453 -13.84004065\n",
            " -10.28745549 -21.24600928  -8.43193281 -20.04533201 -23.2328301\n",
            " -16.69015582 -26.90265009 -23.57913772 -22.26791044 -16.49776989\n",
            " -22.92385789 -24.79374251 -17.00707096 -26.04952045 -27.84993076\n",
            " -16.80332416 -22.07580674 -30.20105554 -19.89937846 -25.79190143\n",
            " -18.02073129 -17.58219229 -24.23233745 -22.20446593 -21.63498196\n",
            " -21.69678194 -17.3660854  -13.5647654  -19.51442996 -17.70196743\n",
            " -17.97021405 -23.33450271 -21.80686351 -21.90176475 -24.20105554\n",
            " -14.8828759  -12.81769607 -25.75407389 -24.72778449 -11.70020805\n",
            " -19.48511618 -13.89049244 -18.08210901 -12.99556094 -16.7344613\n",
            " -19.42897062 -14.08312676 -26.11944019 -13.48890268 -20.55001544]\n",
            "#repeat=9 Best Found Value=6.778\n",
            "==================acquisition type {'name': 'ei', 'IsTGP': 0}\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "  0%|          | 0/10 [00:00<?, ?it/s]"
            ],
            "application/vnd.jupyter.widget-view+json": {
              "version_major": 2,
              "version_minor": 0,
              "model_id": "e26b7b12a4244c79a5ba6ba523c75d54"
            }
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[ -8.61413684 -14.39890465 -16.93622744 -22.92938243 -11.70222065\n",
            " -13.01072522 -13.49332877 -12.68894879  -8.78322918 -13.00487336\n",
            " -15.15409797 -13.9441531  -17.24393558 -20.47452169  -6.75988881\n",
            "  -8.38263349 -18.07433573 -10.33021652  -7.94480872 -10.11982266\n",
            " -15.20903053 -10.30147464  -7.4305029   -4.90242001 -11.41925444\n",
            "  -9.60022474  -5.91435671  -5.76100014  -8.13365758  -3.86669377\n",
            "  -7.03327459 -15.35751807 -13.00772527 -23.56090874  -7.61963558\n",
            " -16.79125593  -8.05191293  -1.82501356  -5.65794897  -3.62083682\n",
            " -16.89967847 -23.33726977 -22.81342343 -20.59759472 -11.77076535\n",
            "  -5.82633556 -11.90006669 -14.44234744  -7.88851858  -5.68873515\n",
            " -11.25773986 -18.45723122 -11.48228591  -3.93977313  -4.41895265\n",
            "  -9.37970139 -10.74875915  -6.14504052 -15.51076388  -6.6728055\n",
            "  -6.29194752 -21.85932023 -10.09509401 -10.16566018  -5.98379044]\n",
            "#repeat=0 Best Found Value=1.825\n",
            "[-19.20197107 -10.03460518 -15.00388297 -10.26837915 -14.92700071\n",
            " -25.71779153 -14.40445654 -14.58134142 -20.61300344 -23.35092766\n",
            " -12.49596302 -13.76002529 -15.22647105  -8.06070803 -20.83233853\n",
            "  -7.18391813 -13.30328854  -8.03410665  -9.49742834  -6.19820546\n",
            "  -6.53830315 -13.77273283  -9.98605075 -10.69931202 -13.00094817\n",
            " -17.80297767 -10.444454    -8.7534818   -9.40870338  -4.43334615\n",
            "  -8.30948048 -11.00560418  -8.12589395 -11.3688851  -15.52184167\n",
            "  -5.74785145 -14.33108986  -9.48408995  -5.58550834 -20.48064201\n",
            " -14.70875427 -22.54834686 -11.58195616 -13.97919544 -23.51593956\n",
            "  -6.51422263  -8.96307029 -15.03837028  -5.38933298 -12.88237716\n",
            " -18.2611799   -5.89292215 -12.5903085   -5.41073956  -8.69471644\n",
            " -11.21297021 -10.30535136  -8.69441323  -5.87575201  -5.31321358\n",
            "  -3.69955584 -15.90311457 -15.64208472  -9.62542599  -6.73474518]\n",
            "#repeat=1 Best Found Value=3.700\n",
            "[ -6.06309378 -14.39576049  -8.28773975 -19.49980971 -19.44095935\n",
            " -17.79858237  -4.08439844 -10.09663744 -12.56384367 -10.15373082\n",
            " -15.19671959 -16.04606497 -12.3428768   -5.14639945 -11.46815829\n",
            "  -9.63835323  -2.37638724  -5.53047774  -3.31830585 -11.87705758\n",
            "  -4.63580368  -6.799563   -10.36093127  -6.16602991  -5.83923128\n",
            " -14.06962832  -8.41072945  -5.75180554 -25.55992815 -12.59008015\n",
            "  -4.17776429 -18.21761051 -18.28605951 -12.93481718 -16.18184753\n",
            " -10.58366393 -13.1049651  -11.05427126 -14.84371519 -17.09471359\n",
            "  -7.81617299  -3.45375609  -4.5490528  -18.29585572  -4.42962955\n",
            "  -2.87845108 -13.28105611  -6.91861404  -4.02368743  -5.89612866\n",
            "  -4.75497925  -9.89535013 -10.04096604  -9.82550622 -15.24295669\n",
            "  -6.472519   -12.42340414  -9.10181213  -9.03872101  -7.33870255\n",
            "  -2.76195502  -8.75169258  -4.79921157  -6.51838349 -12.34811556]\n",
            "#repeat=2 Best Found Value=2.376\n",
            "[-16.83737216 -21.97423789  -7.73471525 -11.79505859 -11.45643792\n",
            " -18.1651579  -15.54560628 -13.84392939 -11.47363367 -18.16417561\n",
            " -12.21269862 -12.09553831  -5.2304954  -16.13488902  -8.84438073\n",
            "  -3.50896736  -6.38748331  -4.21883801  -3.38592487  -7.96059884\n",
            "  -6.0923207   -5.83686343  -6.90516653 -14.8939631  -12.43530727\n",
            "  -5.66278257  -6.09918056  -6.50448686 -19.58097016  -4.62559469\n",
            "  -4.31667133  -7.55607593  -3.67575063  -6.85999126 -15.57527292\n",
            "  -7.24821462 -10.91262431  -4.98894764  -9.83124398 -13.14389778\n",
            " -11.93399347 -18.36459633 -14.96133459 -13.02423638 -15.80968732\n",
            "  -4.21755451  -9.18059856  -6.58395029 -15.67142628  -5.71725206\n",
            " -14.56689603 -11.51302685 -12.3907597  -10.68042724 -10.01008861\n",
            " -11.25863288 -18.91365523  -7.90708383  -4.84149005  -9.02350806\n",
            "  -3.01312109  -9.40147977 -14.67168579 -14.82159259 -19.3809915 ]\n",
            "#repeat=3 Best Found Value=3.013\n",
            "[ -9.22850238 -15.52513377 -15.33997578 -13.67429633 -16.3603105\n",
            " -15.39489323 -16.86408856  -4.75063378  -8.65451693  -9.85404494\n",
            " -12.11128464 -13.75874629 -17.7166157  -22.41779873 -19.89979357\n",
            " -13.71514994  -5.15548304  -4.92359283  -4.30691506  -5.05890864\n",
            "  -4.54618472 -10.59360706  -6.1731624   -4.98058717  -6.74038847\n",
            "  -4.6854947   -6.68968915 -11.47823118  -8.38973345 -10.33038131\n",
            " -12.08931479  -9.31976921  -6.53101594  -7.39372561  -5.06891474\n",
            " -10.82772331  -3.83886612  -7.69504548  -8.21657149  -9.7445044\n",
            "  -7.22062279  -2.08227909  -7.72366974 -16.38060196 -13.96541825\n",
            "  -9.61290558  -6.7701271  -11.4421272  -23.0934513  -14.48277443\n",
            " -16.5103735  -11.44709156  -9.773147    -4.79869349  -4.22223624\n",
            "  -4.50981989  -7.07556107  -4.83678767  -5.11941829 -10.99182311\n",
            "  -5.70118918  -5.70800369 -13.06199804  -9.33048396 -12.52994686]\n",
            "#repeat=4 Best Found Value=2.082\n",
            "[-22.79246371 -10.49795535 -22.64528701 -13.49920764 -18.24924537\n",
            " -12.67493039 -12.24173416 -10.98674635 -27.35298475  -4.31082248\n",
            " -18.22612297 -11.30899843 -19.69725848 -10.38655033 -11.69150058\n",
            "  -9.29917791 -11.39525658 -17.62563697 -13.74171344 -11.51397476\n",
            " -12.83529536 -14.9600609   -7.90801288 -12.02982624 -10.01673873\n",
            " -12.33736927 -22.237695   -11.98585635 -18.41079315 -15.4406891\n",
            "  -4.75972601  -9.5237275  -13.47185777 -27.63672625 -17.25135496\n",
            " -10.31753952 -23.90379836 -12.99954196 -21.19996024 -20.08246144\n",
            " -15.12113285 -18.32602476 -13.72547138 -11.81096727 -15.88051938\n",
            "  -3.98017308  -9.14838706  -4.71930529 -14.97450222 -13.44894755\n",
            " -12.19570547 -21.32464136 -17.14739571 -11.38252703  -6.66366723\n",
            "  -8.11394252 -14.54672521 -20.99248243 -11.61096564  -6.40369383\n",
            "  -3.78519312  -9.91414884  -8.96421616 -20.21465163 -13.16949207]\n",
            "#repeat=5 Best Found Value=3.785\n",
            "[-19.74658312  -6.4711604   -8.15547107 -15.31793135 -15.45434298\n",
            " -15.82971581 -14.95131163 -17.13514878 -13.06083258 -16.13499586\n",
            " -10.52267377 -12.90928582 -13.97579869  -9.73615534 -21.09327667\n",
            "  -2.97320069  -4.79042026  -1.27195412  -2.3199706   -0.94251515\n",
            "  -4.16903758  -2.97770874  -6.95332438  -6.90499929 -28.20105554\n",
            " -18.45245644  -4.42210731  -3.11784255 -11.03680629 -11.05427447\n",
            "  -1.42664455  -2.81758426  -8.70634143 -11.60554614  -7.21975515\n",
            " -10.24715524 -13.04909928  -5.53027657 -13.34740717  -7.75749344\n",
            "  -4.6068018  -16.87337228  -7.27959331 -23.92503002 -11.24541076\n",
            "  -5.42344055  -5.268719    -6.03263618 -11.86774024 -13.91769403\n",
            " -12.88948445 -11.1647491  -13.06668434 -23.10776057 -26.20105554\n",
            " -18.35819122 -12.82506506 -17.46903058 -23.76154651 -15.72540964\n",
            "  -1.93513944  -6.67750353 -10.49542972 -10.63347855  -9.68538355]\n",
            "#repeat=6 Best Found Value=0.943\n",
            "[-14.29159505 -11.35772218 -12.42966196 -21.54523443 -20.79771256\n",
            " -10.97509518  -5.03276776 -16.27239221  -2.86548786 -18.2546101\n",
            "  -5.92673008 -19.00803575 -13.22419474 -17.72071187 -17.59037518\n",
            "  -5.27050225 -10.58325097  -5.87271026  -3.85825403  -7.59358921\n",
            " -15.11611463  -4.33807213  -8.72330239 -13.27637682  -8.41635305\n",
            "  -5.09518827  -4.75964923 -14.0363893  -10.37566186  -7.03215378\n",
            "  -6.34140281  -7.93725381  -5.67334344 -11.69135359  -5.87595265\n",
            "  -9.68370757 -10.14243496  -7.14518929  -6.94367872 -12.69394118\n",
            "  -6.43665809 -12.74307917 -13.00741228 -12.17360561  -7.47018118\n",
            "  -8.55414584  -5.99452122  -4.2090325  -20.20735343  -8.26594665\n",
            " -19.21889186  -8.9558027  -12.65309893  -6.53624618  -5.71544387\n",
            " -23.53105304 -10.00184359  -9.36029399 -11.65550544 -17.56559123\n",
            "  -5.95294965  -6.84586924  -9.64716727  -6.58476276  -6.64685202]\n",
            "#repeat=7 Best Found Value=2.865\n",
            "[-21.69450533  -7.53036234 -11.1324571  -10.85649691 -19.67741299\n",
            " -16.47663002 -12.66909973 -10.43716932  -9.82956491  -8.05379511\n",
            " -10.67489827 -24.15402777  -7.11564382  -8.58848273 -12.1369099\n",
            "  -7.21934961  -7.22773658  -4.82711028 -16.86222349 -11.864489\n",
            " -13.62185535  -9.15121374 -14.09966777 -11.34793993  -6.27963571\n",
            " -11.03998192  -9.98612775  -9.25941299  -5.97259957 -13.85900014\n",
            "  -6.89826264 -10.0593364  -10.86640015  -9.68081444 -17.12340214\n",
            " -15.60776165  -6.27778699 -10.68418724 -14.05181323  -6.5766859\n",
            " -10.4451694  -14.5485705  -15.86323727 -13.93398542  -6.57850369\n",
            "  -7.85165541 -13.56078685 -13.33483828 -14.64541083 -18.89216985\n",
            " -19.34490189 -18.48325549 -10.91531793 -12.24594174  -5.0724387\n",
            " -16.06598843  -8.99001192 -15.69870056 -11.84701674  -2.55615056\n",
            "  -5.83327172 -13.8524992  -19.95965011 -14.90143836 -10.96826713]\n",
            "#repeat=8 Best Found Value=2.556\n",
            "[-14.86668488 -17.48401262 -17.77734876 -14.28144586 -12.12068052\n",
            "  -8.93646776 -14.07062516 -20.90903676 -10.67409671 -14.10342792\n",
            "  -6.78997061 -10.87990615 -17.16483053  -6.77822453 -13.84004065\n",
            " -16.75677019 -14.19766146 -10.2257873  -21.18588217 -10.16622212\n",
            "  -7.36604565 -12.01106655  -9.17962425 -11.5674169  -15.1102708\n",
            " -18.68232994 -15.20317427 -16.6093937  -15.51337697 -14.08664242\n",
            "  -8.81076775 -15.94678815 -13.79736297 -15.25319441 -19.37434913\n",
            " -18.04807657 -14.36378069 -10.26941746 -11.41053303 -16.2811348\n",
            " -18.93779677 -19.1066744  -11.28068698 -10.72973579 -10.19476723\n",
            "  -5.63035603 -19.75906568 -13.95036368 -13.79135786 -12.73157596\n",
            " -16.09032592  -8.90610971 -17.44977843 -13.86897744 -15.4376809\n",
            " -12.69960968  -7.30696141  -9.22047493  -4.60085108  -7.77782843\n",
            "  -5.97578947  -5.46688201  -9.65041248  -8.6778611   -8.92632357]\n",
            "#repeat=9 Best Found Value=4.601\n",
            "==================acquisition type {'name': 'random', 'IsTGP': 0}\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "  0%|          | 0/10 [00:00<?, ?it/s]"
            ],
            "application/vnd.jupyter.widget-view+json": {
              "version_major": 2,
              "version_minor": 0,
              "model_id": "51e289c5a50b414b89df2ae6b8cf099f"
            }
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[[ -8.61413684]\n",
            " [-14.39890465]\n",
            " [-16.93622744]\n",
            " [-22.92938243]\n",
            " [-11.70222065]\n",
            " [-13.01072522]\n",
            " [-13.49332877]\n",
            " [-12.68894879]\n",
            " [ -8.78322918]\n",
            " [-13.00487336]\n",
            " [-15.15409797]\n",
            " [-13.9441531 ]\n",
            " [-17.24393558]\n",
            " [-20.47452169]\n",
            " [ -6.75988881]\n",
            " [-22.41250702]\n",
            " [-11.97156115]\n",
            " [-21.35056979]\n",
            " [-15.8666972 ]\n",
            " [-12.94302032]\n",
            " [-18.21386691]\n",
            " [-13.69623601]\n",
            " [-12.45148209]\n",
            " [-21.9136642 ]\n",
            " [ -9.99848538]\n",
            " [-12.32467233]\n",
            " [-13.66365832]\n",
            " [ -5.9317582 ]\n",
            " [-19.77086139]\n",
            " [-25.7516467 ]\n",
            " [-21.85576917]\n",
            " [-13.73903361]\n",
            " [-14.14893129]\n",
            " [-16.17101131]\n",
            " [-10.63298375]\n",
            " [-15.15289763]\n",
            " [-17.38582193]\n",
            " [-11.10197053]\n",
            " [-15.28314766]\n",
            " [-15.03300611]\n",
            " [ -8.16149044]\n",
            " [-16.25905064]\n",
            " [-14.31328141]\n",
            " [-12.29845134]\n",
            " [-16.04064174]\n",
            " [-18.82930416]\n",
            " [-13.61387053]\n",
            " [ -9.60812553]\n",
            " [-23.04526868]\n",
            " [ -7.82704958]\n",
            " [-23.26840482]\n",
            " [-16.00031122]\n",
            " [-23.32757455]\n",
            " [-13.80180466]\n",
            " [-16.25375918]\n",
            " [-21.04355114]\n",
            " [-14.95425341]\n",
            " [ -6.55752558]\n",
            " [ -9.18351573]\n",
            " [-21.59796356]\n",
            " [-21.01943675]\n",
            " [-22.12773381]\n",
            " [-21.70249906]\n",
            " [-18.34138619]\n",
            " [-22.97580107]]\n",
            "#repeat=0 Best Found Value=5.932\n",
            "[[-19.20197107]\n",
            " [-10.03460518]\n",
            " [-15.00388297]\n",
            " [-10.26837915]\n",
            " [-14.92700071]\n",
            " [-25.71779153]\n",
            " [-14.40445654]\n",
            " [-14.58134142]\n",
            " [-20.61300344]\n",
            " [-23.35092766]\n",
            " [-12.49596302]\n",
            " [-13.76002529]\n",
            " [-15.22647105]\n",
            " [ -8.06070803]\n",
            " [-20.83233853]\n",
            " [-17.69163669]\n",
            " [-19.45225227]\n",
            " [-14.00488056]\n",
            " [-15.59360558]\n",
            " [-23.15130574]\n",
            " [-19.31264875]\n",
            " [-18.43555807]\n",
            " [-20.70716188]\n",
            " [-25.89392507]\n",
            " [-16.80592442]\n",
            " [-16.9569612 ]\n",
            " [ -8.28757843]\n",
            " [-17.74986459]\n",
            " [-19.16336273]\n",
            " [-20.25336829]\n",
            " [-16.72676139]\n",
            " [-13.96027578]\n",
            " [-12.63544551]\n",
            " [-11.92320147]\n",
            " [ -8.61130409]\n",
            " [-16.1087702 ]\n",
            " [-19.49001177]\n",
            " [-11.24879149]\n",
            " [-26.55791647]\n",
            " [-22.37499625]\n",
            " [-16.71399581]\n",
            " [-18.63889587]\n",
            " [-16.54597317]\n",
            " [-13.21071757]\n",
            " [ -7.72157974]\n",
            " [-29.16498397]\n",
            " [ -6.90976843]\n",
            " [ -8.86427318]\n",
            " [-15.37724007]\n",
            " [-16.10221221]\n",
            " [-10.24547948]\n",
            " [-12.08545491]\n",
            " [-24.14513857]\n",
            " [ -6.04736854]\n",
            " [ -7.2854195 ]\n",
            " [ -6.13133377]\n",
            " [-27.17164878]\n",
            " [-12.82817862]\n",
            " [ -5.94658333]\n",
            " [-14.25435809]\n",
            " [-14.015479  ]\n",
            " [ -9.44343316]\n",
            " [-30.55627255]\n",
            " [-17.95210545]\n",
            " [-15.55987479]]\n",
            "#repeat=1 Best Found Value=5.947\n",
            "[[ -6.06309378]\n",
            " [-14.39576049]\n",
            " [ -8.28773975]\n",
            " [-19.49980971]\n",
            " [-19.44095935]\n",
            " [-17.79858237]\n",
            " [ -4.08439844]\n",
            " [-10.09663744]\n",
            " [-12.56384367]\n",
            " [-10.15373082]\n",
            " [-15.19671959]\n",
            " [-16.04606497]\n",
            " [-12.3428768 ]\n",
            " [ -5.14639945]\n",
            " [-11.46815829]\n",
            " [-16.02398425]\n",
            " [ -4.90688845]\n",
            " [-10.21493028]\n",
            " [-12.15785205]\n",
            " [-12.11566189]\n",
            " [-21.53271353]\n",
            " [-15.08454892]\n",
            " [-17.68077337]\n",
            " [ -6.49791555]\n",
            " [-16.43909279]\n",
            " [-15.59043067]\n",
            " [-19.78017212]\n",
            " [-15.39846763]\n",
            " [-19.17895999]\n",
            " [ -9.83863946]\n",
            " [-12.98486511]\n",
            " [-10.80199293]\n",
            " [-16.92431718]\n",
            " [-10.04193948]\n",
            " [ -4.75143035]\n",
            " [-12.99674702]\n",
            " [-13.20581111]\n",
            " [-16.06072806]\n",
            " [-19.92537019]\n",
            " [-21.62238364]\n",
            " [-11.09564958]\n",
            " [-22.1715192 ]\n",
            " [-15.75925849]\n",
            " [-11.09470343]\n",
            " [-12.50577349]\n",
            " [-24.23507192]\n",
            " [-14.55085812]\n",
            " [-16.47360918]\n",
            " [-10.07350447]\n",
            " [-14.25353856]\n",
            " [-17.73054105]\n",
            " [-14.00828269]\n",
            " [-19.25368811]\n",
            " [-13.83297824]\n",
            " [-10.16476223]\n",
            " [-12.94576645]\n",
            " [-24.18424334]\n",
            " [-11.14116657]\n",
            " [-11.44586224]\n",
            " [-20.18833975]\n",
            " [-16.76308318]\n",
            " [-24.90060858]\n",
            " [-15.02554766]\n",
            " [ -8.9879706 ]\n",
            " [-14.29394066]]\n",
            "#repeat=2 Best Found Value=4.084\n",
            "[[-16.83737216]\n",
            " [-21.97423789]\n",
            " [ -7.73471525]\n",
            " [-11.79505859]\n",
            " [-11.45643792]\n",
            " [-18.1651579 ]\n",
            " [-15.54560628]\n",
            " [-13.84392939]\n",
            " [-11.47363367]\n",
            " [-18.16417561]\n",
            " [-12.21269862]\n",
            " [-12.09553831]\n",
            " [ -5.2304954 ]\n",
            " [-16.13488902]\n",
            " [ -8.84438073]\n",
            " [-23.79940981]\n",
            " [-13.50620938]\n",
            " [-20.37479705]\n",
            " [-12.85714493]\n",
            " [-13.67009582]\n",
            " [-14.12621212]\n",
            " [-17.37987943]\n",
            " [-10.88661762]\n",
            " [-18.68417   ]\n",
            " [-12.99633646]\n",
            " [-14.71173697]\n",
            " [-15.32789653]\n",
            " [-21.34944807]\n",
            " [-20.40753496]\n",
            " [-17.91891062]\n",
            " [-23.38326186]\n",
            " [-10.97572762]\n",
            " [-11.36531566]\n",
            " [-24.48459243]\n",
            " [-13.96951967]\n",
            " [-19.29511384]\n",
            " [-14.11310047]\n",
            " [-17.26740844]\n",
            " [ -6.20536091]\n",
            " [-19.7375564 ]\n",
            " [-18.34600983]\n",
            " [ -5.94536548]\n",
            " [-14.48932468]\n",
            " [-16.59007702]\n",
            " [ -7.32969967]\n",
            " [ -8.21840415]\n",
            " [-18.0358953 ]\n",
            " [-20.11252725]\n",
            " [-12.05167462]\n",
            " [-18.77629686]\n",
            " [ -7.15716136]\n",
            " [-18.30819842]\n",
            " [ -5.89247982]\n",
            " [-25.98967556]\n",
            " [-21.4772766 ]\n",
            " [ -7.3962385 ]\n",
            " [-24.12629488]\n",
            " [-21.51983825]\n",
            " [-18.49381164]\n",
            " [-10.66188105]\n",
            " [-11.77245933]\n",
            " [-10.3794139 ]\n",
            " [-22.41369021]\n",
            " [-14.80276861]\n",
            " [-16.4899897 ]]\n",
            "#repeat=3 Best Found Value=5.230\n",
            "[[ -9.22850238]\n",
            " [-15.52513377]\n",
            " [-15.33997578]\n",
            " [-13.67429633]\n",
            " [-16.3603105 ]\n",
            " [-15.39489323]\n",
            " [-16.86408856]\n",
            " [ -4.75063378]\n",
            " [ -8.65451693]\n",
            " [ -9.85404494]\n",
            " [-12.11128464]\n",
            " [-13.75874629]\n",
            " [-17.7166157 ]\n",
            " [-22.41779873]\n",
            " [-19.89979357]\n",
            " [-13.15914697]\n",
            " [-12.78596883]\n",
            " [-12.2245557 ]\n",
            " [-12.38267687]\n",
            " [ -5.7960379 ]\n",
            " [-17.59307239]\n",
            " [-15.84541467]\n",
            " [-16.56900625]\n",
            " [-15.3692573 ]\n",
            " [-10.09480283]\n",
            " [ -5.61961137]\n",
            " [-11.38345019]\n",
            " [-22.18234755]\n",
            " [-16.14089268]\n",
            " [ -9.32252144]\n",
            " [-25.68247834]\n",
            " [ -8.26858443]\n",
            " [-14.73504604]\n",
            " [-23.31944654]\n",
            " [-20.54542823]\n",
            " [-16.74699029]\n",
            " [-14.50983627]\n",
            " [-15.65826715]\n",
            " [-13.56683769]\n",
            " [-22.18972125]\n",
            " [-16.38454318]\n",
            " [-18.24875648]\n",
            " [-12.59206444]\n",
            " [-17.09557037]\n",
            " [-12.46480519]\n",
            " [ -7.59993053]\n",
            " [-24.63095137]\n",
            " [-18.14274428]\n",
            " [-16.63451592]\n",
            " [-21.2994554 ]\n",
            " [-16.64290263]\n",
            " [ -6.47063034]\n",
            " [-11.73684755]\n",
            " [ -8.67973965]\n",
            " [-13.43737926]\n",
            " [-20.85865791]\n",
            " [ -5.04378462]\n",
            " [-21.82576183]\n",
            " [ -8.5902994 ]\n",
            " [-11.10441841]\n",
            " [-17.62214697]\n",
            " [-16.20997579]\n",
            " [-12.93861184]\n",
            " [-11.3234931 ]\n",
            " [-16.50390876]]\n",
            "#repeat=4 Best Found Value=4.751\n",
            "[[-22.79246371]\n",
            " [-10.49795535]\n",
            " [-22.64528701]\n",
            " [-13.49920764]\n",
            " [-18.24924537]\n",
            " [-12.67493039]\n",
            " [-12.24173416]\n",
            " [-10.98674635]\n",
            " [-27.35298475]\n",
            " [ -4.31082248]\n",
            " [-18.22612297]\n",
            " [-11.30899843]\n",
            " [-19.69725848]\n",
            " [-10.38655033]\n",
            " [-11.69150058]\n",
            " [ -9.46057727]\n",
            " [-24.24632459]\n",
            " [ -9.54681051]\n",
            " [-18.93099766]\n",
            " [ -7.55603598]\n",
            " [ -7.89905633]\n",
            " [-16.48585901]\n",
            " [-18.34551104]\n",
            " [-18.52374903]\n",
            " [-11.30887546]\n",
            " [-16.8143503 ]\n",
            " [-15.42118185]\n",
            " [-15.12447556]\n",
            " [-15.32983711]\n",
            " [ -9.19579148]\n",
            " [-11.6183417 ]\n",
            " [-15.93342861]\n",
            " [ -6.56797351]\n",
            " [-11.92087705]\n",
            " [-14.14273875]\n",
            " [ -8.97371434]\n",
            " [-17.47271862]\n",
            " [ -9.24720756]\n",
            " [-10.27224939]\n",
            " [-18.78091258]\n",
            " [-15.02409973]\n",
            " [ -9.77517938]\n",
            " [-13.89565008]\n",
            " [ -8.74405732]\n",
            " [-30.64007637]\n",
            " [-11.37728344]\n",
            " [-19.7656869 ]\n",
            " [ -9.73044692]\n",
            " [-16.25230407]\n",
            " [-19.05936342]\n",
            " [-13.11375373]\n",
            " [-22.71027308]\n",
            " [-12.3945293 ]\n",
            " [-14.71555739]\n",
            " [-14.03236296]\n",
            " [-12.48849037]\n",
            " [-12.13799803]\n",
            " [ -4.17978676]\n",
            " [-23.34951574]\n",
            " [-18.90244106]\n",
            " [-18.5248487 ]\n",
            " [ -8.00665323]\n",
            " [-16.26813452]\n",
            " [-19.16159417]\n",
            " [-16.81067851]]\n",
            "#repeat=5 Best Found Value=4.180\n",
            "[[-19.74658312]\n",
            " [ -6.4711604 ]\n",
            " [ -8.15547107]\n",
            " [-15.31793135]\n",
            " [-15.45434298]\n",
            " [-15.82971581]\n",
            " [-14.95131163]\n",
            " [-17.13514878]\n",
            " [-13.06083258]\n",
            " [-16.13499586]\n",
            " [-10.52267377]\n",
            " [-12.90928582]\n",
            " [-13.97579869]\n",
            " [ -9.73615534]\n",
            " [-21.09327667]\n",
            " [-10.15557679]\n",
            " [-14.99898069]\n",
            " [ -9.0786343 ]\n",
            " [-13.30225172]\n",
            " [-12.08193939]\n",
            " [-19.93139212]\n",
            " [ -9.67526656]\n",
            " [-14.67919067]\n",
            " [ -7.40269791]\n",
            " [-14.67123872]\n",
            " [-16.48065201]\n",
            " [-16.32411726]\n",
            " [-17.96041776]\n",
            " [ -7.26416702]\n",
            " [ -7.76369604]\n",
            " [-16.90835294]\n",
            " [-19.52393759]\n",
            " [-20.00796042]\n",
            " [-18.53657798]\n",
            " [-23.03310233]\n",
            " [-10.90255298]\n",
            " [-25.54602605]\n",
            " [-23.86276272]\n",
            " [-18.55573096]\n",
            " [-15.50980438]\n",
            " [ -7.0015441 ]\n",
            " [-20.8075018 ]\n",
            " [-22.86110997]\n",
            " [ -8.66771862]\n",
            " [-20.74484609]\n",
            " [-16.45034151]\n",
            " [-20.21130296]\n",
            " [-18.40988049]\n",
            " [-13.75093111]\n",
            " [-22.76829336]\n",
            " [ -3.61305808]\n",
            " [ -9.33575908]\n",
            " [-10.2601595 ]\n",
            " [-21.74377332]\n",
            " [-18.61233486]\n",
            " [-10.61354726]\n",
            " [-14.24133146]\n",
            " [-14.67845896]\n",
            " [-15.9695886 ]\n",
            " [-17.80961101]\n",
            " [-19.25023558]\n",
            " [-15.90514038]\n",
            " [-11.11149546]\n",
            " [-11.28192898]\n",
            " [-20.2724799 ]]\n",
            "#repeat=6 Best Found Value=3.613\n",
            "[[-14.29159505]\n",
            " [-11.35772218]\n",
            " [-12.42966196]\n",
            " [-21.54523443]\n",
            " [-20.79771256]\n",
            " [-10.97509518]\n",
            " [ -5.03276776]\n",
            " [-16.27239221]\n",
            " [ -2.86548786]\n",
            " [-18.2546101 ]\n",
            " [ -5.92673008]\n",
            " [-19.00803575]\n",
            " [-13.22419474]\n",
            " [-17.72071187]\n",
            " [-17.59037518]\n",
            " [-10.64630796]\n",
            " [ -9.09165131]\n",
            " [-13.1729032 ]\n",
            " [-21.02691308]\n",
            " [ -9.66591839]\n",
            " [ -9.65692388]\n",
            " [-16.21140919]\n",
            " [ -9.2798819 ]\n",
            " [-22.46976158]\n",
            " [-16.38092557]\n",
            " [ -6.97770492]\n",
            " [-20.94526214]\n",
            " [-10.40659234]\n",
            " [ -8.04478394]\n",
            " [-16.29065579]\n",
            " [-11.52678977]\n",
            " [-17.23593425]\n",
            " [-18.83708572]\n",
            " [-23.51181546]\n",
            " [-21.1543563 ]\n",
            " [ -8.04416292]\n",
            " [-11.04955236]\n",
            " [-15.20643339]\n",
            " [-18.48707338]\n",
            " [-11.98174791]\n",
            " [-20.26805753]\n",
            " [-12.87474897]\n",
            " [ -8.6680005 ]\n",
            " [ -9.87483852]\n",
            " [-25.78154162]\n",
            " [-10.98487734]\n",
            " [-16.05821885]\n",
            " [-12.90347056]\n",
            " [-25.52376074]\n",
            " [ -9.09917658]\n",
            " [-15.37746539]\n",
            " [-16.91864231]\n",
            " [-17.01869391]\n",
            " [-19.597837  ]\n",
            " [-13.78935466]\n",
            " [-20.13372824]\n",
            " [-17.38413665]\n",
            " [-19.05560682]\n",
            " [-16.9285804 ]\n",
            " [-21.30891242]\n",
            " [-18.69898967]\n",
            " [-14.59717961]\n",
            " [-23.42655755]\n",
            " [-13.78990865]\n",
            " [-11.53889477]]\n",
            "#repeat=7 Best Found Value=2.865\n",
            "[[-21.69450533]\n",
            " [ -7.53036234]\n",
            " [-11.1324571 ]\n",
            " [-10.85649691]\n",
            " [-19.67741299]\n",
            " [-16.47663002]\n",
            " [-12.66909973]\n",
            " [-10.43716932]\n",
            " [ -9.82956491]\n",
            " [ -8.05379511]\n",
            " [-10.67489827]\n",
            " [-24.15402777]\n",
            " [ -7.11564382]\n",
            " [ -8.58848273]\n",
            " [-12.1369099 ]\n",
            " [-11.49496227]\n",
            " [-13.40074417]\n",
            " [-13.62403437]\n",
            " [ -7.68956863]\n",
            " [-17.22932627]\n",
            " [-15.26277386]\n",
            " [-10.09907712]\n",
            " [-16.21741542]\n",
            " [-14.73150585]\n",
            " [-11.59960077]\n",
            " [-16.65931009]\n",
            " [-10.59047118]\n",
            " [ -9.92976093]\n",
            " [-16.53473558]\n",
            " [-13.73307989]\n",
            " [-16.86136998]\n",
            " [-14.68395132]\n",
            " [ -9.0743482 ]\n",
            " [-13.91562612]\n",
            " [-11.55387794]\n",
            " [-20.55634306]\n",
            " [-16.18970197]\n",
            " [ -9.31118688]\n",
            " [-15.0796571 ]\n",
            " [-14.89027754]\n",
            " [-16.59125874]\n",
            " [-24.78399776]\n",
            " [-13.23886091]\n",
            " [-11.35294323]\n",
            " [-27.43847974]\n",
            " [-17.38876553]\n",
            " [ -9.60739949]\n",
            " [ -8.86679177]\n",
            " [ -6.78218944]\n",
            " [-14.96851011]\n",
            " [ -8.41331013]\n",
            " [-11.16518221]\n",
            " [-11.27811332]\n",
            " [-13.06936952]\n",
            " [-14.16924834]\n",
            " [-19.51070121]\n",
            " [-12.40684882]\n",
            " [-13.00263006]\n",
            " [-15.19856052]\n",
            " [-10.97935611]\n",
            " [-17.81521485]\n",
            " [-10.97848117]\n",
            " [ -4.70793184]\n",
            " [-19.50772407]\n",
            " [-11.98001045]]\n",
            "#repeat=8 Best Found Value=4.708\n",
            "[[-14.86668488]\n",
            " [-17.48401262]\n",
            " [-17.77734876]\n",
            " [-14.28144586]\n",
            " [-12.12068052]\n",
            " [ -8.93646776]\n",
            " [-14.07062516]\n",
            " [-20.90903676]\n",
            " [-10.67409671]\n",
            " [-14.10342792]\n",
            " [ -6.78997061]\n",
            " [-10.87990615]\n",
            " [-17.16483053]\n",
            " [ -6.77822453]\n",
            " [-13.84004065]\n",
            " [ -8.66381019]\n",
            " [-14.03926422]\n",
            " [-14.39306306]\n",
            " [-13.42799185]\n",
            " [-13.46385893]\n",
            " [-26.30552765]\n",
            " [-18.92314825]\n",
            " [ -6.63953637]\n",
            " [-14.72510869]\n",
            " [-12.0001142 ]\n",
            " [-15.85956391]\n",
            " [-14.21931201]\n",
            " [-19.06279534]\n",
            " [-14.4303588 ]\n",
            " [-17.12050328]\n",
            " [-13.14838923]\n",
            " [ -3.38868225]\n",
            " [-23.2954491 ]\n",
            " [ -8.29667474]\n",
            " [-10.94112246]\n",
            " [-16.53043166]\n",
            " [-20.74011067]\n",
            " [-14.93246989]\n",
            " [-13.48143661]\n",
            " [-14.24011144]\n",
            " [-17.38366709]\n",
            " [-21.95072063]\n",
            " [-16.84117945]\n",
            " [ -5.10691715]\n",
            " [-13.54939248]\n",
            " [-17.58495862]\n",
            " [-23.10188214]\n",
            " [-20.89453138]\n",
            " [-16.4964196 ]\n",
            " [-19.40787316]\n",
            " [-13.45993758]\n",
            " [-27.14364403]\n",
            " [-18.96107778]\n",
            " [-12.05518186]\n",
            " [ -6.4322749 ]\n",
            " [-12.53773035]\n",
            " [-20.87816669]\n",
            " [ -3.6686592 ]\n",
            " [ -9.70348602]\n",
            " [-17.58383652]\n",
            " [ -7.69027346]\n",
            " [ -9.45354683]\n",
            " [-17.03054886]\n",
            " [-13.73068581]\n",
            " [-15.93781515]]\n",
            "#repeat=9 Best Found Value=3.389\n"
          ]
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Text(0.5, 1.0, 'alpine1 D=5')"
            ]
          },
          "metadata": {},
          "execution_count": 7
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ],
      "source": [
        "fig=plt.figure()\n",
        "\n",
        "color_list=['r','b','k','m','c','g']\n",
        "marker_list=['s','x','o','v','^','>']\n",
        "\n",
        "for idx, acq_type in enumerate(acq_type_list):\n",
        "\n",
        "    print(\"==================acquisition type\",acq_type)\n",
        "    \n",
        "    IsTGP=acq_type['IsTGP']\n",
        "    acq_name=acq_type['name']\n",
        "    \n",
        "    nRepeat=10\n",
        "    \n",
        "    ybest=[0]*nRepeat\n",
        "    ElapseTime=[0]*nRepeat\n",
        "    OptTime=[0]*nRepeat\n",
        "    bo=[0]*nRepeat\n",
        "   \n",
        "    for ii in tqdm(range(nRepeat)): # run over multiple repetitions\n",
        "        \n",
        "        if 'fstar' in acq_name or acq_name == 'erm' or acq_name == 'cbm':\n",
        "            bo[ii]=BayesOpt_KnownOptimumValue(myfunction.func,myfunction.bounds,\\\n",
        "                                myfunction.fstar,acq_name,IsTGP,verbose=0)\n",
        "        else:\n",
        "            bo[ii]=BayesOpt(myfunction.func,myfunction.bounds,acq_name,verbose=0)\n",
        "  \n",
        "        if acq_name =='random': # we generate random points without running BO\n",
        "            ybest[ii],ElapseTime[ii]=utilities.run_experiment(bo[ii],\n",
        "                 n_init=13*myfunction.input_dim,NN=0,runid=ii)   \n",
        "        else:\n",
        "            ybest[ii],ElapseTime[ii]=utilities.run_experiment(bo[ii],\n",
        "                                        n_init=3*myfunction.input_dim,\\\n",
        "                                        NN=10*myfunction.input_dim,runid=ii)   \n",
        "                                       \n",
        "        OptTime[ii]=bo[ii].time_opt # record the computational time\n",
        "        print(ybest[ii])\n",
        "        print(\"#repeat={} Best Found Value={:.3f}\".format(ii,myfunction.ismax*np.max(ybest[ii])))                                              \n",
        "\n",
        "    # record the result and save to pickle files================================\n",
        "    # Score={}\n",
        "    # Score[\"ybest\"]=ybest\n",
        "    # Score[\"ElapseTime\"]=ElapseTime\n",
        "    # Score[\"OptTime\"]=OptTime\n",
        "    # utilities.print_result_sequential(bo,myfunction,Score,acq_type) \n",
        "    \n",
        "    # plot the result ==========================================================\n",
        "    y_best_sofar=[0]*len(bo)\n",
        "    for uu,mybo in enumerate(bo):\n",
        "        y_best_sofar[uu]=[ (myfunction.fstar - np.max(mybo.Y_ori[:ii+1]) ) for ii in range(len(mybo.Y_ori))]\n",
        "        y_best_sofar[uu]=y_best_sofar[uu][3*myfunction.input_dim-1:] # remove the random phase for plotting purpose\n",
        "        \n",
        "    y_best_sofar=np.asarray(y_best_sofar)\n",
        "    xaxis=range(y_best_sofar.shape[1])\n",
        "    plt.errorbar(xaxis,np.mean(y_best_sofar,axis=0), np.std(y_best_sofar,axis=0)/np.sqrt(nRepeat),\n",
        "                 label=acq_type['name'],color=color_list[idx],marker=marker_list[idx])\n",
        "    \n",
        "plt.ylabel(\"Simple Regret\",fontsize=14)\n",
        "plt.xlabel(\"Iterations\",fontsize=14)\n",
        "plt.legend(prop={'size': 14})\n",
        "strTitle=\"{:s} D={:d}\".format(myfunction.name,myfunction.input_dim)\n",
        "plt.title(strTitle,fontsize=18)\n"
      ]
    }
  ],
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      "display_name": "Python 3",
      "language": "python",
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      "nbconvert_exporter": "python",
      "pygments_lexer": "ipython3",
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