code/Benchmark tests.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "1927e125-2612-4b93-af8a-3f4b1547fdd5",
   "metadata": {},
   "outputs": [],
   "source": [
    "import optuna\n",
    "import xgboost as xgb\n",
    "from sklearn.datasets import load_breast_cancer\n",
    "from sklearn.model_selection import train_test_split\n",
    "from sklearn.metrics import accuracy_score\n",
    "from dask.distributed import wait\n",
    "import time"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "aac8ee70-6f16-4f42-b0de-10754f202c37",
   "metadata": {},
   "outputs": [],
   "source": [
    "from optuna.visualization import plot_contour\n",
    "from optuna.visualization import plot_edf\n",
    "from optuna.visualization import plot_intermediate_values\n",
    "from optuna.visualization import plot_optimization_history\n",
    "from optuna.visualization import plot_parallel_coordinate\n",
    "from optuna.visualization import plot_param_importances\n",
    "from optuna.visualization import plot_rank\n",
    "from optuna.visualization import plot_slice\n",
    "from optuna.visualization import plot_timeline\n",
    "import psutil\n",
    "import warnings\n",
    "import plotly"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "dcdc12f8-8015-4ba6-9063-b1b7a8a4614c",
   "metadata": {
    "collapsed": true,
    "jupyter": {
     "outputs_hidden": true
    }
   },
   "outputs": [],
   "source": [
    "import dask\n",
    "from dask.distributed import Scheduler, Client, LocalCluster\n",
    "from dask.distributed import Client, LocalCluster\n",
    "import dask.dataframe as dd\n",
    "cluster = LocalCluster(n_workers=4,threads_per_worker=2)\n",
    "client = Client(cluster)\n",
    "client"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "cdb8eb55-c147-47df-bcee-c1d6223a8714",
   "metadata": {},
   "outputs": [],
   "source": [
    "#client.close()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "e7b22aed-8895-4f8e-b5e1-e7811beb1113",
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.datasets import load_breast_cancer\n",
    "from sklearn.model_selection import KFold, cross_val_score\n",
    "def objective(trial):\n",
    "    X, y = load_breast_cancer(return_X_y=True)\n",
    "    params = {\n",
    "        \"n_estimators\": 10,\n",
    "        \"verbosity\": 0,\n",
    "        # L2 regularization weight.\n",
    "        \"lambda\": trial.suggest_float(\"lambda\", 1e-8, 100.0, log=True),\n",
    "        # L1 regularization weight.\n",
    "        \"alpha\": trial.suggest_float(\"alpha\", 1e-8, 100.0, log=True),\n",
    "        # sampling according to each tree.\n",
    "        \"colsample_bytree\": trial.suggest_float(\"colsample_bytree\", 0.2, 1.0),\n",
    "        \"max_depth\": trial.suggest_int(\"max_depth\", 2, 10, step=1),\n",
    "        # minimum child weight, larger the term more conservative the tree.\n",
    "        \"min_child_weight\": trial.suggest_float(\n",
    "            \"min_child_weight\", 1e-8, 100, log=True\n",
    "        ),\n",
    "        \"learning_rate\": trial.suggest_float(\"learning_rate\", 1e-8, 1.0, log=True),\n",
    "        # defines how selective algorithm is.\n",
    "        \"gamma\": trial.suggest_float(\"gamma\", 1e-8, 1.0, log=True),\n",
    "        \"grow_policy\": \"depthwise\",\n",
    "        \"eval_metric\": \"logloss\",\n",
    "    }\n",
    "    clf = xgb.XGBClassifier(**params)\n",
    "    fold = KFold(n_splits=5, shuffle=True, random_state=0)\n",
    "    score = cross_val_score(clf, X, y, cv=fold, scoring=\"accuracy\")\n",
    "    return score.mean()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "25bcf955-5c81-4adf-a768-aba3be071254",
   "metadata": {},
   "outputs": [],
   "source": [
    "def xgb_hpo():\n",
    "    study = optuna.create_study(direction='maximize')\n",
    "    study.optimize(objective, n_trials=5)\n",
    "    print(study.best_value)\n",
    "    return study"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "id": "af7736b6-9ee3-4ad0-b2d7-6ff6976f055c",
   "metadata": {},
   "outputs": [],
   "source": [
    "backend_storage = optuna.storages.InMemoryStorage()\n",
    "dask_storage = optuna.integration.DaskStorage(storage=backend_storage)\n",
    "def xgb_hpo_dask():\n",
    "    study_dask = optuna.create_study(direction='maximize',storage=dask_storage,sampler=optuna.samplers.TPESampler(),\n",
    "    pruner=optuna.pruners.MedianPruner())\n",
    "    futures = [client.submit(study_dask.optimize, objective, n_trials=1, pure=False) for _ in range(5)]\n",
    "    _ = wait(futures)\n",
    "    print(study_dask.best_value)\n",
    "    return study_dask"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "b3f33996-065a-4d1e-ba4c-05280ed5b404",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "[I 2024-04-19 22:38:00,691] A new study created in memory with name: no-name-1311d5bf-fcce-4ebf-85a6-da95091c239f\n",
      "[I 2024-04-19 22:38:01,561] Trial 0 finished with value: 0.6274025772395591 and parameters: {'lambda': 67.97305776669221, 'alpha': 4.765278645965258e-06, 'colsample_bytree': 0.8790244149224993, 'max_depth': 7, 'min_child_weight': 0.0001604288221987487, 'learning_rate': 2.7529953913455527e-07, 'gamma': 0.4658137977113674}. Best is trial 0 with value: 0.6274025772395591.\n",
      "[I 2024-04-19 22:38:02,250] Trial 1 finished with value: 0.6274025772395591 and parameters: {'lambda': 36.92645665518304, 'alpha': 0.11174925956201374, 'colsample_bytree': 0.3858535065107327, 'max_depth': 9, 'min_child_weight': 3.443531558591988e-07, 'learning_rate': 0.00039739592397820107, 'gamma': 6.030320213304569e-08}. Best is trial 0 with value: 0.6274025772395591.\n",
      "[I 2024-04-19 22:38:02,743] Trial 2 finished with value: 0.6274025772395591 and parameters: {'lambda': 3.6292109803562603e-07, 'alpha': 0.11148817804682892, 'colsample_bytree': 0.3357502505613844, 'max_depth': 2, 'min_child_weight': 7.024189817952136, 'learning_rate': 0.00550908121568427, 'gamma': 4.5928466105761136e-07}. Best is trial 0 with value: 0.6274025772395591.\n",
      "[I 2024-04-19 22:38:03,691] Trial 3 finished with value: 0.6274025772395591 and parameters: {'lambda': 0.0011690717663479322, 'alpha': 0.011119992684479961, 'colsample_bytree': 0.8454962957241452, 'max_depth': 6, 'min_child_weight': 3.5348321291215614e-07, 'learning_rate': 0.005671694275347173, 'gamma': 0.31100825338763516}. Best is trial 0 with value: 0.6274025772395591.\n",
      "[I 2024-04-19 22:38:04,007] Trial 4 finished with value: 0.6274025772395591 and parameters: {'lambda': 2.418146536196891e-05, 'alpha': 2.46860978964976, 'colsample_bytree': 0.659410160471894, 'max_depth': 4, 'min_child_weight': 5.411766293683066, 'learning_rate': 3.1179182665325576e-07, 'gamma': 0.03252267328769665}. Best is trial 0 with value: 0.6274025772395591.\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0.6274025772395591\n",
      "CPU times: total: 8.25 s\n",
      "Wall time: 3.33 s\n"
     ]
    }
   ],
   "source": [
    "%%time \n",
    "study = xgb_hpo()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "8a8829f4-6f74-48d1-9608-695a439a2987",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.plotly.v1+json": {
       "config": {
        "plotlyServerURL": "https://plot.ly"
       },
       "data": [
        {
         "mode": "markers",
         "name": "Objective Value",
         "type": "scatter",
         "x": [
          0,
          1,
          2,
          3,
          4
         ],
         "y": [
          0.6274025772395591,
          0.6274025772395591,
          0.6274025772395591,
          0.6274025772395591,
          0.6274025772395591
         ]
        },
        {
         "mode": "lines",
         "name": "Best Value",
         "type": "scatter",
         "x": [
          0,
          1,
          2,
          3,
          4
         ],
         "y": [
          0.6274025772395591,
          0.6274025772395591,
          0.6274025772395591,
          0.6274025772395591,
          0.6274025772395591
         ]
        },
        {
         "marker": {
          "color": "#cccccc"
         },
         "mode": "markers",
         "name": "Infeasible Trial",
         "showlegend": false,
         "type": "scatter",
         "x": [],
         "y": []
        }
       ],
       "layout": {
        "autosize": true,
        "template": {
         "data": {
          "bar": [
           {
            "error_x": {
             "color": "#2a3f5f"
            },
            "error_y": {
             "color": "#2a3f5f"
            },
            "marker": {
             "line": {
              "color": "#E5ECF6",
              "width": 0.5
             },
             "pattern": {
              "fillmode": "overlay",
              "size": 10,
              "solidity": 0.2
             }
            },
            "type": "bar"
           }
          ],
          "barpolar": [
           {
            "marker": {
             "line": {
              "color": "#E5ECF6",
              "width": 0.5
             },
             "pattern": {
              "fillmode": "overlay",
              "size": 10,
              "solidity": 0.2
             }
            },
            "type": "barpolar"
           }
          ],
          "carpet": [
           {
            "aaxis": {
             "endlinecolor": "#2a3f5f",
             "gridcolor": "white",
             "linecolor": "white",
             "minorgridcolor": "white",
             "startlinecolor": "#2a3f5f"
            },
            "baxis": {
             "endlinecolor": "#2a3f5f",
             "gridcolor": "white",
             "linecolor": "white",
             "minorgridcolor": "white",
             "startlinecolor": "#2a3f5f"
            },
            "type": "carpet"
           }
          ],
          "choropleth": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "type": "choropleth"
           }
          ],
          "contour": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "colorscale": [
             [
              0,
              "#0d0887"
             ],
             [
              0.1111111111111111,
              "#46039f"
             ],
             [
              0.2222222222222222,
              "#7201a8"
             ],
             [
              0.3333333333333333,
              "#9c179e"
             ],
             [
              0.4444444444444444,
              "#bd3786"
             ],
             [
              0.5555555555555556,
              "#d8576b"
             ],
             [
              0.6666666666666666,
              "#ed7953"
             ],
             [
              0.7777777777777778,
              "#fb9f3a"
             ],
             [
              0.8888888888888888,
              "#fdca26"
             ],
             [
              1,
              "#f0f921"
             ]
            ],
            "type": "contour"
           }
          ],
          "contourcarpet": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "type": "contourcarpet"
           }
          ],
          "heatmap": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "colorscale": [
             [
              0,
              "#0d0887"
             ],
             [
              0.1111111111111111,
              "#46039f"
             ],
             [
              0.2222222222222222,
              "#7201a8"
             ],
             [
              0.3333333333333333,
              "#9c179e"
             ],
             [
              0.4444444444444444,
              "#bd3786"
             ],
             [
              0.5555555555555556,
              "#d8576b"
             ],
             [
              0.6666666666666666,
              "#ed7953"
             ],
             [
              0.7777777777777778,
              "#fb9f3a"
             ],
             [
              0.8888888888888888,
              "#fdca26"
             ],
             [
              1,
              "#f0f921"
             ]
            ],
            "type": "heatmap"
           }
          ],
          "heatmapgl": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "colorscale": [
             [
              0,
              "#0d0887"
             ],
             [
              0.1111111111111111,
              "#46039f"
             ],
             [
              0.2222222222222222,
              "#7201a8"
             ],
             [
              0.3333333333333333,
              "#9c179e"
             ],
             [
              0.4444444444444444,
              "#bd3786"
             ],
             [
              0.5555555555555556,
              "#d8576b"
             ],
             [
              0.6666666666666666,
              "#ed7953"
             ],
             [
              0.7777777777777778,
              "#fb9f3a"
             ],
             [
              0.8888888888888888,
              "#fdca26"
             ],
             [
              1,
              "#f0f921"
             ]
            ],
            "type": "heatmapgl"
           }
          ],
          "histogram": [
           {
            "marker": {
             "pattern": {
              "fillmode": "overlay",
              "size": 10,
              "solidity": 0.2
             }
            },
            "type": "histogram"
           }
          ],
          "histogram2d": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "colorscale": [
             [
              0,
              "#0d0887"
             ],
             [
              0.1111111111111111,
              "#46039f"
             ],
             [
              0.2222222222222222,
              "#7201a8"
             ],
             [
              0.3333333333333333,
              "#9c179e"
             ],
             [
              0.4444444444444444,
              "#bd3786"
             ],
             [
              0.5555555555555556,
              "#d8576b"
             ],
             [
              0.6666666666666666,
              "#ed7953"
             ],
             [
              0.7777777777777778,
              "#fb9f3a"
             ],
             [
              0.8888888888888888,
              "#fdca26"
             ],
             [
              1,
              "#f0f921"
             ]
            ],
            "type": "histogram2d"
           }
          ],
          "histogram2dcontour": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "colorscale": [
             [
              0,
              "#0d0887"
             ],
             [
              0.1111111111111111,
              "#46039f"
             ],
             [
              0.2222222222222222,
              "#7201a8"
             ],
             [
              0.3333333333333333,
              "#9c179e"
             ],
             [
              0.4444444444444444,
              "#bd3786"
             ],
             [
              0.5555555555555556,
              "#d8576b"
             ],
             [
              0.6666666666666666,
              "#ed7953"
             ],
             [
              0.7777777777777778,
              "#fb9f3a"
             ],
             [
              0.8888888888888888,
              "#fdca26"
             ],
             [
              1,
              "#f0f921"
             ]
            ],
            "type": "histogram2dcontour"
           }
          ],
          "mesh3d": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "type": "mesh3d"
           }
          ],
          "parcoords": [
           {
            "line": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "parcoords"
           }
          ],
          "pie": [
           {
            "automargin": true,
            "type": "pie"
           }
          ],
          "scatter": [
           {
            "fillpattern": {
             "fillmode": "overlay",
             "size": 10,
             "solidity": 0.2
            },
            "type": "scatter"
           }
          ],
          "scatter3d": [
           {
            "line": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scatter3d"
           }
          ],
          "scattercarpet": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scattercarpet"
           }
          ],
          "scattergeo": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scattergeo"
           }
          ],
          "scattergl": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scattergl"
           }
          ],
          "scattermapbox": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scattermapbox"
           }
          ],
          "scatterpolar": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scatterpolar"
           }
          ],
          "scatterpolargl": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scatterpolargl"
           }
          ],
          "scatterternary": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scatterternary"
           }
          ],
          "surface": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "colorscale": [
             [
              0,
              "#0d0887"
             ],
             [
              0.1111111111111111,
              "#46039f"
             ],
             [
              0.2222222222222222,
              "#7201a8"
             ],
             [
              0.3333333333333333,
              "#9c179e"
             ],
             [
              0.4444444444444444,
              "#bd3786"
             ],
             [
              0.5555555555555556,
              "#d8576b"
             ],
             [
              0.6666666666666666,
              "#ed7953"
             ],
             [
              0.7777777777777778,
              "#fb9f3a"
             ],
             [
              0.8888888888888888,
              "#fdca26"
             ],
             [
              1,
              "#f0f921"
             ]
            ],
            "type": "surface"
           }
          ],
          "table": [
           {
            "cells": {
             "fill": {
              "color": "#EBF0F8"
             },
             "line": {
              "color": "white"
             }
            },
            "header": {
             "fill": {
              "color": "#C8D4E3"
             },
             "line": {
              "color": "white"
             }
            },
            "type": "table"
           }
          ]
         },
         "layout": {
          "annotationdefaults": {
           "arrowcolor": "#2a3f5f",
           "arrowhead": 0,
           "arrowwidth": 1
          },
          "autotypenumbers": "strict",
          "coloraxis": {
           "colorbar": {
            "outlinewidth": 0,
            "ticks": ""
           }
          },
          "colorscale": {
           "diverging": [
            [
             0,
             "#8e0152"
            ],
            [
             0.1,
             "#c51b7d"
            ],
            [
             0.2,
             "#de77ae"
            ],
            [
             0.3,
             "#f1b6da"
            ],
            [
             0.4,
             "#fde0ef"
            ],
            [
             0.5,
             "#f7f7f7"
            ],
            [
             0.6,
             "#e6f5d0"
            ],
            [
             0.7,
             "#b8e186"
            ],
            [
             0.8,
             "#7fbc41"
            ],
            [
             0.9,
             "#4d9221"
            ],
            [
             1,
             "#276419"
            ]
           ],
           "sequential": [
            [
             0,
             "#0d0887"
            ],
            [
             0.1111111111111111,
             "#46039f"
            ],
            [
             0.2222222222222222,
             "#7201a8"
            ],
            [
             0.3333333333333333,
             "#9c179e"
            ],
            [
             0.4444444444444444,
             "#bd3786"
            ],
            [
             0.5555555555555556,
             "#d8576b"
            ],
            [
             0.6666666666666666,
             "#ed7953"
            ],
            [
             0.7777777777777778,
             "#fb9f3a"
            ],
            [
             0.8888888888888888,
             "#fdca26"
            ],
            [
             1,
             "#f0f921"
            ]
           ],
           "sequentialminus": [
            [
             0,
             "#0d0887"
            ],
            [
             0.1111111111111111,
             "#46039f"
            ],
            [
             0.2222222222222222,
             "#7201a8"
            ],
            [
             0.3333333333333333,
             "#9c179e"
            ],
            [
             0.4444444444444444,
             "#bd3786"
            ],
            [
             0.5555555555555556,
             "#d8576b"
            ],
            [
             0.6666666666666666,
             "#ed7953"
            ],
            [
             0.7777777777777778,
             "#fb9f3a"
            ],
            [
             0.8888888888888888,
             "#fdca26"
            ],
            [
             1,
             "#f0f921"
            ]
           ]
          },
          "colorway": [
           "#636efa",
           "#EF553B",
           "#00cc96",
           "#ab63fa",
           "#FFA15A",
           "#19d3f3",
           "#FF6692",
           "#B6E880",
           "#FF97FF",
           "#FECB52"
          ],
          "font": {
           "color": "#2a3f5f"
          },
          "geo": {
           "bgcolor": "white",
           "lakecolor": "white",
           "landcolor": "#E5ECF6",
           "showlakes": true,
           "showland": true,
           "subunitcolor": "white"
          },
          "hoverlabel": {
           "align": "left"
          },
          "hovermode": "closest",
          "mapbox": {
           "style": "light"
          },
          "paper_bgcolor": "white",
          "plot_bgcolor": "#E5ECF6",
          "polar": {
           "angularaxis": {
            "gridcolor": "white",
            "linecolor": "white",
            "ticks": ""
           },
           "bgcolor": "#E5ECF6",
           "radialaxis": {
            "gridcolor": "white",
            "linecolor": "white",
            "ticks": ""
           }
          },
          "scene": {
           "xaxis": {
            "backgroundcolor": "#E5ECF6",
            "gridcolor": "white",
            "gridwidth": 2,
            "linecolor": "white",
            "showbackground": true,
            "ticks": "",
            "zerolinecolor": "white"
           },
           "yaxis": {
            "backgroundcolor": "#E5ECF6",
            "gridcolor": "white",
            "gridwidth": 2,
            "linecolor": "white",
            "showbackground": true,
            "ticks": "",
            "zerolinecolor": "white"
           },
           "zaxis": {
            "backgroundcolor": "#E5ECF6",
            "gridcolor": "white",
            "gridwidth": 2,
            "linecolor": "white",
            "showbackground": true,
            "ticks": "",
            "zerolinecolor": "white"
           }
          },
          "shapedefaults": {
           "line": {
            "color": "#2a3f5f"
           }
          },
          "ternary": {
           "aaxis": {
            "gridcolor": "white",
            "linecolor": "white",
            "ticks": ""
           },
           "baxis": {
            "gridcolor": "white",
            "linecolor": "white",
            "ticks": ""
           },
           "bgcolor": "#E5ECF6",
           "caxis": {
            "gridcolor": "white",
            "linecolor": "white",
            "ticks": ""
           }
          },
          "title": {
           "x": 0.05
          },
          "xaxis": {
           "automargin": true,
           "gridcolor": "white",
           "linecolor": "white",
           "ticks": "",
           "title": {
            "standoff": 15
           },
           "zerolinecolor": "white",
           "zerolinewidth": 2
          },
          "yaxis": {
           "automargin": true,
           "gridcolor": "white",
           "linecolor": "white",
           "ticks": "",
           "title": {
            "standoff": 15
           },
           "zerolinecolor": "white",
           "zerolinewidth": 2
          }
         }
        },
        "title": {
         "text": "Optimization History Plot"
        },
        "xaxis": {
         "autorange": true,
         "range": [
          -0.24467798437078955,
          4.24467798437079
         ],
         "title": {
          "text": "Trial"
         },
         "type": "linear"
        },
        "yaxis": {
         "autorange": true,
         "range": [
          -0.37259742276044094,
          1.627402577239559
         ],
         "title": {
          "text": "Objective Value"
         },
         "type": "linear"
        }
       }
      },
      "image/png": "iVBORw0KGgoAAAANSUhEUgAABDkAAAFoCAYAAABdZCDhAAAAAXNSR0IArs4c6QAAIABJREFUeF7t3X2wHeWd4PfnXkkg9MaLpiQ0GLz2LAQmxjHsoAx4Z6vktb14Y2A97MYx8YSY4JCS0cU2VTAyyCwWL8FV4JGElSJ24WLWweWadTEYb63Hy0AqkzUbOQtk2BQMznrWeLy8zGpAQhJIQijVx+7ro77n3vPSfX59Tp/P/Qt0T/fT/Xn6nqvzVb9MHT169GjyRYAAAQIECBAgQIAAAQIECBAYc4EpkWPMZ9DmEyBAgAABAgQIECBAgAABAi0BkcOBQIAAAQIECBAgQIAAAQIECDRCQORoxDTaCQIECBAgQIAAAQIECBAgQEDkcAwQIECAAAECBAgQIECAAAECjRAQORoxjXaCAAECBAgQIECAAAECBAgQEDkcAwQIECBAgAABAgQIECBAgEAjBESORkyjnSBAgAABAgQIECBAgAABAgREDscAAQIECBAgQIAAAQIECBAg0AgBkaMR02gnCBAgQIAAAQIECBAgQIAAAZHDMUCAAAECBAgQIECAAAECBAg0QkDkaMQ02gkCBAgQIECAAAECBAgQIEBA5HAMECBAgAABAgQIECBAgAABAo0QEDkaMY12ggABAgQIECBAgAABAgQIEBA5HAMECBAgQIAAAQIECBAgQIBAIwREjkZMo50gQIAAAQIECBAgQIAAAQIERA7HAAECBAgQIECAAAECBAgQINAIAZGjEdNoJwgQIECAAAECBAgQIECAAAGRwzFAgAABAgQIECBAgAABAgQINEJA5GjENNoJAgQIECBAgAABAgQIECBAQORwDBAgQIAAAQIECBAgQIAAAQKNEBA5GjGNdoIAAQIECBAgQIAAAQIECBAQORwDBAgQIECAAAECBAgQIECAQCMERI5GTKOdIECAAAECBAgQIECAAAECBEQOxwABAgQIECBAgAABAgQIECDQCAGRoxHTaCcIECBAgAABAgQIECBAgAABkcMxQIAAAQIECBAgQIAAAQIECDRCQORoxDTaCQIECBAgQIAAAQIECBAgQEDkcAwQIECAAAECBAgQIECAAAECjRAQORoxjXaCAAECBAgQIECAAAECBAgQEDkcAwQIECBAgAABAgQIECBAgEAjBESORkyjnSBAgAABAgQIECBAgAABAgREDscAAQIECBAgQIAAAQIECBAg0AgBkaMR02gnCBAgQIAAAQIECBAgQIAAAZHDMUCAAAECBAgQIECAAAECBAg0QkDkaMQ02gkCBAgQIECAAAECBAgQIEBA5HAMECBAgAABAgQIECBAgAABAo0QEDkaMY12gsCxAjsfeDh98zs/SPfefl06/9yz8BAgQIAAAQIECBAgQGAiBCYicrz48u501ee/nF74+cvHTOrdt2xMF29YP/BEL/RB8sbb7kt/tuvPK/2QmY331W88lMpu93w7nG3znz/7k3T/PTekdWtXz74s9zt1zclp+9aZtHLFsoHNBlkwH/+957w73XXzNXNW8eQzz6drb9qWPnn5h9PGKy9rfX8Qq27jDLLtVS+T71dxvR/94IXH2JSJHGWWrXp/rY8AAQIECBAgQIAAAQL9CDQ+cuQfCosfAr//+K50/a070/rzzh74g7vI0c+hNvhru8WHSYscxTM08v3/z37j9NljuUyoKLPs4LNsSQIECBAgQIAAAQIECJQXaHTkyD/8/c769y54BsB83+/G27QPg/OdydHNYdjfHyRyDLJN3cYZZJ1VLzPfMZdHu/wsnzLHZpllq95f6yNAgAABAgQIECBAgEA/Ao2OHL18aC++pv2D7ob3n9c62yP/+synPjbncogidv4hc771XvLhi1qLZJedFNebLfO9R5/oOF72h8UPn8XXt29LfubK6/sOpJkt29Oup547ZlOLZ7B0WteJq5a3LrdZt2Z163Kf4uUinS4DKl5K06vnQgdtt/gw35kc853xsGfv/jnG813S1M2peIZQ+7Z+/LINrctosvGy9bz3N/92+qNHHu94CVOvYWG+1xUNur0uN8jnOL9vx3yXwwzrEql+3qy8lgABAgQIECBAgAABAt0EGhs5er2PRPHeDe0fdts/wPb6QToHny9yZPcFmS+WFP+8+CG9lw/CxXuBZJFj8x1fS1d94iOzN6DMw0e2re332Oh2T472yNHJIz+boH0/5vMsnnkw7Mix0PbmH+AXiimdzDodY+37Wwwk860/X/ea1Sd3POOo3aZbvMjvS9LpdZ3MO927pJfjrNsbi+8TIECAAAECBAgQIECgDoHGR475blaZYxc/mC/0QbcYAbrdk6P9Jp75erMzOfKbY2bb0M+fd/vwmX9gbY8M8x1U2X5/6SsPHHNWQa+RY75Iko1V3MYqPtjPd5ZFcd8WikQLxYH9B95Mv/Nfvnd2LjodM73GhW5nnWTreeQHPzzm5q79BJ/5tqMYK3qdh8ywn+O6jjcpYxIgQIAAAQIECBAgQKBXAZHjlzcgzT8gL/QhtfjBcZQiR/5BuXj5RH4gdLoMoXipQq+RY74wk41V/MDeLXJky3R7Yku3cNDLWTb5dp1x2to5T4/JjboFrld2vzpnW4vLDLKtmXundXf6IV7oDI32uS++Ljf64ueunPNEoX6O617fWLyOAAECBAgQIECAAAECdQg0PnJ0e+zpfJerdPrX/OLZD6MSORa6NCf/3p7X9x1z1kaZMzk6RYX84C1+b1QiR3uAaf9Baw8Dg2xr8ayWffvf6Hj/kvYx26PGj//yr1r37egUH+aLHO33c8lfU7xnRvHYXOhskSpvWlrHm5gxCRAgQIAAAQIECBAgkAs0NnJkO1j2xqN33XzNMUdKP//ivdCNR6u8XCX/kP0X//5nfd3QskzkGMczOTr9yOc3W+3lLJ75zrbo90yObDvaz6r4yQsvph89/WzXs1ny7e92ydJ8r3Mmhzd9AgQIECBAgAABAgQmQaDRkaPXR8jmN2vMJryfSxY6hYL8oImKHPkH9fmefjFf6Om07Z3uF9HJpMp7cmTrj7hc5Tv/4v9IF/3Wf57WrV09+3NdnOuFbgBa1T05ssHb/V565dVUvE/LQm88g0aObsd1+/1jFjquJ+FN0T4SIECAAAECBAgQIDC+Ao2OHNm05JejFO9VkZ+i3+sTMDo9hWKhyzYiIkenp5kUD8VOlynkf1a8J8d8lzR0+oDcKSAt9HSV4uU/C4WS4j4Mcp+LXs666bS/80WhfHuzKHH/PTe0YslCT1fp9Ya3C90jpNPbyqCRI1tXp/np97ge37c6W06AAAECBAgQIECAwCQIND5yZJM439M5Op39MN9ri0EgPzjyD475/+frHHbkOPNd70gzW7anXU891/E4bY83xW3Mgs+G95835+kq7VEo++98n9etWd3xPhOdrIqmg9znYhiRI1tnftZLvv5Oc5rHjNy1GMGK6yjGs25BJh97oUt+FnrjKRM5svXmcWrP3v2tYfo9rifhTdE+EiBAgAABAgQIECAwvgITETn6mZ5eP6T2s06vJVAU6DVWkCNAgAABAgQIECBAgACB3gVEjoKVyNH7weOVgwk4xgZzsxQBAgQIECBAgAABAgS6CYgcIke3Y8T3KxZwFkfFoFZHgAABAgQIECBAgACBXwqIHA4FAgQIECBAgAABAgQIECBAoBECIkcjptFOECBAgAABAgQIECBAgAABAiKHY4AAAQIECBAgQIAAAQIECBBohIDI0YhptBMECBAgQIAAAQIECBAgQICAyOEYIECAAAECBAgQIECAAAECBBohIHI0YhrtBAECBAgQIECAAAECBAgQICByOAYIECBAgAABAgQIECBAgACBRgiIHI2YRjtBgAABAgQIECBAgAABAgQIiByOAQIECBAgQIAAAQIECBAgQKARAiJHI6bRThAgQIAAAQIECBAgQIAAAQIih2OAAAECBAgQIECAAAECBAgQaISAyNGIabQTBAgQIECAAAECBAgQIECAgMjhGCBAgAABAgQIECBAgAABAgQaISByNGIa7QQBAgQIECBAgAABAgQIECAgcjgGCBAgQIAAAQIECBAgQIAAgUYIiByNmEY7QYAAAQIECBAgQIAAAQIECIgcjgECBAgQIECAAAECBAgQIECgEQIiRyOm0U4QIECAAAECBAgQIECAAAECIodjgAABAgQIECBAgAABAgQIEGiEgMjRiGm0EwQIECBAgAABAgQIECBAgIDI4RggQIAAAQIECBAgQIAAAQIEGiEgcjRiGu0EAQIECBAgQIAAAQIECBAgIHI4BggQIECAAAECBAgQIECAAIFGCIgcjZhGO0GAAAECBAgQIECAAAECBAiIHI4BAgQIECBAgAABAgQIECBAoBECIkcjptFOECBAgAABAgQIECBAgAABAiKHY4AAAQIECBAgQIAAAQIECBBohIDI0YhptBMECBAgQIAAAQIECBAgQICAyOEYIECAAAECBAgQIECAAAECBBohIHI0YhrtBAECBAgQIECAAAECBAgQICByOAYIECBAgAABAgQIECBAgACBRgiIHI2YRjtBgAABAgQIECBAgAABAgQIiByOAQIECBAgQIAAAQIECBAgQKARAiJHI6bRThAgQIAAAQIECBAgQIAAAQIih2OAAAECBAgQIECAAAECBAgQaISAyNGIabQTBAgQIECAAAECBAgQIECAgMjhGCBAgAABAgQIECBAgAABAgQaISByNGIa7QQBAgQIECBAgAABAgQIECAgcjgGCBAgQIAAAQIECBAgQIAAgUYIiByNmEY7QYAAAQIECBAgQIAAAQIECIgcjgECBAgQIECAAAECBAgQIECgEQIiRyOm0U4QIECAAAECBAgQIECAAAECIodjgAABAgQIECBAgAABAgQIEGiEgMjRiGm0EwQIECBAgAABAgQIECBAgIDI4RggQIAAAQIECBAgQIAAAQIEGiEgcjRiGu0EAQIECBAgQIAAAQIECBAgIHI4BggQIECAAAECBAgQIECAAIFGCIgcJafxP+5+o+QaYhc/cfmStHzp4rRn/+G0/823Ygef0NFOOG5RWnr8ovTq64cmVCB+t7Pj/K0jRx3jgfS/duLxrfeVw2+9HTjqZA/166tPSOP2O2icZ+y4xdNp1fIl6T/tOTjOuzFW275i6eI0PT2V9h44PFbbPc4be8rK49KBg0fSm4eOjPNujNW2n3rKCemVV99Ibx8dq81O2e8gXwRGVUDkKDkz4/YXzJOWL0nLli5Or+071Pol5mv4AiLH8I2LI4gc8eYiR7y5yBFrLnLEemejiRzx5iJHvLnIEW9uxOYLiBwl51jkKAk4AYuLHPGTLHLEm4sc8eYiR6y5yBHrLXLEe2cjihzx7iJHvLkRmy8gcpScY5GjJOAELC5yxE+yyBFvLnLEm4scseYiR6y3yBHvLXLUYy5y1ONu1GYLiBwl51fkKAk4AYuLHPGTLHLEm4sc8eYiR6y5yBHrLXLEe4sc9ZiLHPW4G7XZAiJHyfkVOUoCTsDiIkf8JIsc8eYiR7y5yBFrLnLEeosc8d4iRz3mIkc97kZttoDIUXJ+RY6SgBOwuMgRP8kiR7y5yBFvLnLEmoscsd4iR7y3yFGPuchRj7tRmy0wsZHjxZd3p5ktO9LmTVek8889a95ZfvKZ59O1N21Le/bun33NGaetTfffc0Nat3b12D2+z9NV4n+gRY54c5Ej3lzkiDcXOWLNRY5Yb5Ej3lvkqMdc5KjH3ajNFpi4yPH6vgNpZsv2tOup59KJq5ane2+/rmvk+MKdX093bL664+ucydHsH5Aq9k7kqEKxv3WIHP15VfFqkaMKxf7WIXL051X21SJHWcH+l/cI2f7Nyi7h6SplBftfXuTo38wSBLoJTFzkyEH6OZND5Oh2GPn+QgIiR/zxIXLEm4sc8eYiR6y5yBHrnY0mcsSbixzx5iJHvHmVI2afKa/6/JfTdVdfni7esH7OqvN/YF+z+uR0183XVDb09x/flbZ9/TuzVxdUtuIBV5Tv5wXvOydtvPKyAddS3WIiR5+Xq7RfqpJNw4t/80Z1sxGwpuzD37LjF6c9+w+lAwePBIxoiKVLFqWlxy9Kr+07BCNIYNWyJemtI0fTgYNvBY1omNWrjk979x9Oh4+8DSNIYN0pJ4zd76AgmqEMc9yi6bRy+ZK0e+/BoazfSucKLD9+cZqenkqvv3EYT5DAySuOS28cPJLePOzviEHkae3JJ6S/fu2N9PbRqBGrGSf7HTQpXzsfeDh99RsPze7uRz944WywiIgcncYYRuTIbtPQ6R/384Dx8Us/0DHkZDAix4j8NPR6Jkdxc2+87b70yu5X0/atM2nlimXp6Ji9IU1N/WKPxm27R+SwGWgzmA/EVmoh5qX4Blo4M2+9HY7Ze+JAOzsiC7XMecfNxlRK2a9Q5oHk/s4Sh/3LkbyXh5OncX0vz/+uFS82d8S/+PHR9B9+djSdfFJK5/7mdDphaXVblQWOR37ww9kzJvIP89kI2efBffvfWPBMjiq2pFtIqWKMhUJFFj/u3PFg2r51U+uelJ2+RI6qZqHkegaNHMVJdk+OkhMxAYu7XCV+kl2uEm/ucpV4c5erxJq7XCXWOxvN5Srx5i5XiTd3uUo58//l/rfSv/1/flX8VyxPaesXlqSVK8qtN1t6vrjQ/uf/xW/+RityvPecd6fvPfpEa9D1553dCiDZV34vyM986mOzl3Hky7/w85dbr7n7lo2zZ0gUv5ct99OfvTS77uz12Z+9+4x1s5ervPjK7jlnYBTP9Gg/GyXfvuwf7Itf2et+9PSzs/+gn30/+7NsG7LLbYpnteTbXowcxfV0CiW9btMgM+lylS6XqxRRRY5BDrPJXkbkiJ9/kSPeXOSINxc5Ys1FjlhvkSPeOxtR5Ih3FzkGN3/plZRuvn3u5WyXfmRRuvTi6cFX/MslF7okJDu7/52nn5o+dvHfnY0cWQTodEZD/trsXhV5xLjkwxe1okf7Z8ts2CyY5N/L1vXQv/yz9KG/91tzzhYpblv7GNl62v+/eDZK8bXtUMVLVtovVXn/Be9J933zkXTNJy9pXdHQvt4Vy09oBZ38nhzdIkc/2zTIRIochchRBP/DP/qT9J6z3zX7ZJXsoMi+8hvHOJNjkMNuspYROeLnW+SINxc54s1FjlhzkSPWW+SI9xY56jEXOQZ33/Xk2+l/fWDu/WMuOG86XfPfLxp8xW2R49vffeyYsxryleafCT/76X88J0AUP+C3R4VinGiPCNm6O91MtJd7cmTrzbc1u4RmZsuOtHnTFenMd73jmPiQjdH+2k5nc7Rv70KXqrQHkeI4C0WOYhDpZZv6ncyJixztj5DNsdpP2SlGjuwguP7WnbOuxdN7RI5+D7nJe73IET/nIke8ucgRby5yxJqLHLHeIke8t8hRj7nIMbj7X/3Ho+mf3jX3JvO/+9FF6R9+KPZMjvanqxQjQjFytH+2zPc+u+wj++oUVXqJHO23YnjlP702u55snfklM+3SC12y0r79/+w7/6q1WP7ElCxsXHvTtrRn7/7Wn5+4anm69/br5sSUXiLHrqeeO2byF9qmfo+SiYsc/QJ1e73I0U3I90WO+GNA5Ig3FznizUWOWHORI9Zb5Ij3FjnqMRc5yrmPyj052iNHtzM55js7ZL7LY3qJHJliHlOy+2dseP95rft89PJklOIM5MFk5n/43fTthx9PV33iI62rGvLA8cXPXdlad9kzORZ6Wku5oyIlkaOkoMhREnACFhc54idZ5Ig3FznizUWOWHORI9Zb5Ij3FjnqMRc5yruP0tNVOgWJhe7Jke19Fjeyr/wmpvk9ObJ1PfjQn6b/8ZMf7XjJSfHSliw63LH9f0tTU1PHPAml0xNi2u+t0WkGsm3ef+DN1rfu/MKnW/fgKN6vI9vuL33lgY5ncnS6Z8ifP/uT2afUDLJN/RwpIkc/Wh1eK3KUBJyAxUWO+EkWOeLNRY54c5Ej1lzkiPUWOeK9RY56zEWOetz7GbX4RJGPfvDC2fszFp+Gkq23/Ukq2f8Xb/RZXOaM09bOfvgvXg6Sr6v9FgrFp6vkj3XNz9pYs/rk2e3L97O4D8VtLHrk43Xal/wpMqf/+prWYndsvrrjvT+y/c5f+6n/5iPp/3oye2rLrx5D2+829TNnIkc/WiJHSa3JXFzkiJ93kSPeXOSINxc5Ys1FjlhvkSPeW+Sox1zkqMc9atROT1uJGnuSxxE5Ss6+MzlKAk7A4iJH/CSLHPHmIke8ucgRay5yxHqLHPHeIkc95iJHPe7DHrX9YRdV3lBz2NvdlPWLHCVnUuQoCTgBi4sc8ZMscsSbixzx5iJHrLnIEestcsR7ixz1mIsc9bgbtdkCIkfJ+RU5SgJOwOIiR/wkixzx5iJHvLnIEWsucsR6ixzx3iJHPeYiRz3uRm22gMhRcn5FjpKAE7C4yBE/ySJHvLnIEW8ucsSaixyx3iJHvLfIUY+5yFGPu1GbLSBylJxfkaMk4AQsLnLET7LIEW8ucsSbixyx5iJHrLfIEe8tctRjLnLU427UZguIHCXnV+QoCTgBi4sc8ZMscsSbixzx5iJHrLnIEestcsR7ixz1mIsc9bgbtdkCIkfJ+RU5SgJOwOIiR/wkixzx5iJHvLnIEWsucsR6ixzx3iJHPeYiRz3uRm22gMhRcn5FjpKAE7C4yBE/ySJHvLnIEW8ucsSaixyx3iJHvLfIUY+5yFGPu1GbLSBylJxfkaMk4AQsLnLET7LIEW8ucsSbixyx5iJHrLfIEe8tctRjLnLU497UUZ985vn0hTu/nu7YfHU6/9yzmrqbXfdL5OhKtPALRI6SgBOwuMgRP8kiR7y5yBFvLnLEmoscsd4iR7y3yFGPuchRj3svo7748u501ee/nF74+cuzLz/jtLXp/ntuSOvWru5lFR1fc+Nt97X+/K6br+n4/e8/vitt+/p35oyTbc/Mlh1p86Yr5g0YIscvSEWOgQ/PXywocpQEnIDFRY74SRY54s1FjnhzkSPWXOSI9RY54r1FjnrMRY563HsZNY8c1119ebp4w/rWIt0CRS/r7baOTuNm683ix7e/+1javnUmrVyxrONQIofI0csx2PU1IkdXool/gcgRfwiIHPHmIke8ucgRay5yxHqLHPHeIkc95iJHPe69jNopNux84OH0o6efnQ0Nr+87kGa2bE+7nnqutcrPfOpjaeOVl7X+O3vtV7/x0OxQd9+ysfXf19+6c/bP1p93dsdo0SmEZH/2ztNPba0/++/vPfpEaz0nrlqe7r39utbZHcXIUVxPMZQstP29GI3qa5zJUXJmRI6SgBOwuMgRP8kiR7y5yBFvLnLEmoscsd4iR7y3yFGPucjxK/e3X/hJOvRvHg+fiEVnvDst+e0Nc8ad70yOPDTkgWDN6pNbl560X06SrezOHQ+m7Vs3tS5tyeLDv3vuL9N/90/+QU9ngxQvWWlf97o1q9ODD/1puv5/+q9b25yFjFd2v9qKJT/+y7865p4cC0WObNks0HTa/nG/n4fIUfLHSOQoCTgBi4sc8ZMscsSbixzx5iJHrLnIEestcsR7ixz1mIscv3I//K8fTfu3/dPwiVhy0d9Pyz9767yRo/2eHNmL8rM1Ol0akp9t8e4z1qUvfeWB2TMs2lfe7XKV7LV5QPn4pR9oXSqz0KUq7UHkxVd29xw5ikEkDyZ5xAmfiAoHFDlKYoocJQEnYHGRI36SRY54c5Ej3lzkiDUXOWK9RY54b5GjHnOR41fu43AmR/vZHWt+7aR07U3b0p69+485ePII0n65SvsNS3uJHNkKs+V/+rOXWmeJZMtseP95s/cGycJG+2Uv+fr7jRwLbX89PxHVjCpylHQUOUoCTsDiIkf8JIsc8eYiR7y5yBFrLnLEeosc8d4iRz3mIkc97r2MOt8NQPOzNX77/HOOuSRloXW2h41eI0d2pkh2ycvmTf9t2nH/d9Idv//p1qUvWeBoP0ukzJkc7ZfU9GIyLq8ROUrOlMhREnACFhc54idZ5Ig3FznizUWOWHORI9Zb5Ij3FjnqMRc56nHvZdROkaP9z95/wXuOuadFts783htrfu3k1hCdnspSvHnpfNvSfs+P7DX5I2eL9+vI1vfID37YeuRs8UyO9rGydWT34Mi+svt35P+f35Ojffuze4eM81do5Gi/e2t+F9gz3/WOFvYF7ztn9k604wQqcozTbNWzrSJHvLvIEW8ucsSbixyx5iJHrLfIEe8tctRjLnLU497LqHnQKN6TI3tKSh4vik8nyT/jZutvvxSk/Skq7eud7+kq+fbll7wsNOY5Z74z7T/wZsfIUfz8/bv/8O+l//cv/nLep8O0P6mlF6NRfU1o5MhP7fm9yz+UNt/xtXTVJz7SetRNL8/8HVVAkWNUZ2Z0tkvkiJ8LkSPeXOSINxc5Ys1FjlhvkSPeW+Sox1zkqMfdqM0WCIsc7Y+9yc7eaI8c+fVG+SN2xolc5Bin2apnW0WOeHeRI95c5Ig3FzlizUWOWG+RI95b5KjHXOSox92ozRYYicjhTI64g+yk5UvSsqWL02v7DqUDB4/EDTzBI4kc8ZMvcsSbixzx5iJHrLnIEestcsR7ixz1mIsc9bgbtdkCYZEjY8xvfJLdGfb2bd9sXa6ybs3qdNXnv5wu+fBF7skRcKyJHAHIhSFEjnhzkSPeXOSINxc5Ys1FjlhvkSPeW+Sox1zkqMfdqM0WCI0cGWXxmb7Zn7XfSGXcuF2uMm4zFr+9Ike8ucgRby5yxJuLHLHmIkest8gR7y1y1GMuctTjbtRmC4RHjqZxihxNm9Hq90fkqN602xpFjm5C1X9f5KjetNsaRY5uQtV+X+So1rOXta1YujhNT0+lvQcO9/Jyr6lA4JSVx7UuZ37zkEuaK+DsaRUiR09MXkSgLwGRoy+uuS8WOUoCTsDiIkf8JIsc8eYiR7y5yBFrLnLEemejiRzx5iJHvLnIEW9B6UTJAAAgAElEQVRuxOYLhEWO+Z4znBOfcdra1rN9161dPVbqIsdYTVctGytyxLOLHPHmIke8ucgRay5yxHqLHPHe2YgiR7y7yBFvbsTmC4RFjvkoX9934JjHyY4bucgxbjMWv70iR7y5yBFvLnLEm4scseYiR6y3yBHvLXLUYy5y1ONu1GYL1B45Mt7sqSs//dlL6a6brxk7bZFj7KYsfINFjnDyJHLEm4sc8eYiR6y5yBHrLXLEe4sc9ZiLHPW4G7XZAiMROZ585vl0544H0/atm1yuMuTjzSNkhwzcYfUiR7y5yBFvLnLEm4scseYiR6y3yBHvLXLUYy5y1ONu1GYLiBwl59eZHCUBJ2BxkSN+kkWOeHORI95c5Ig1FzlivUWOeG+Rox5zkaMed6M2W2AkIseNt93XUna5yvAPNmdyDN+4OILIEW8ucsSbixzx5iJHrLnIEestcsR7ixz1mIsc9bgbtdkCYZFjoaerrD/v7LR960xauWLZ2Gk7k2Pspix8g0WOcHL35IgnTyJHPLrIEWsucsR6ixzx3iJHPeYiRz3uRm22QFjkGHfG+e4bInKM+8wOf/tFjuEbF0dwJke8ucgRby5yxJqLHLHeIke8t8hRj7nIUY+7UZstIHJ0md/2M1DOOG1tuv+eG465OarI0ewfkCr2TuSoQrG/dYgc/XlV8WqRowrF/tYhcvTnVfbVIkdZwf6XX7F0cZqenkp7Dxzuf2FLDCRwysrj0oGDR9Kbh44MtLyF+hcQOfo3swSBbgIiRzehX37fmRw9QnnZHAGRI/6gEDnizUWOeHORI9Zc5Ij1zkYTOeLNRY54c5Ej3tyIzRcYauRY6D4cRdpOZ0mMEv98kePFv3ljlDaz67ZkH/6WHb847dl/qFXqfQ1fYOmSRWnp8YvSa/sODX8wI7QEVi1bkt46cjQdOPgWkSCB1auOT3v3H06Hj7wdNKJh1p1yQhq330HjPGvHLZpOK5cvSbv3Hhzn3RirbV9+/C/O5Hj9DWdyRE3cySuOS29kZ3Ic9nfEKPO1J5+Q/vq1N9LbR6NGrGac7HeQLwKjKjDUyDGqOz3Ids0XOY6O2RvS1NQv9n7ctnuQORuVZZjHzwTzesxbb4dj9p4YL1XdiNlx7r28Os+ua5pKKfsVyryrVGUv8F5eGWXPK2q9r3gv79mriheO63t5/vNZhYF1EKhaQOToUdTlKj1CedkcAZerxB8ULleJN3e5Sry5y1VizV2uEuudjeZylXhzl6vEm7tcJd7ciM0XCI0cWSi49qZtac/e/XNkx/VyFTcebf4PSdk9FDnKCva/vMjRv1nZJUSOsoL9Ly9y9G9WZgmRo4zeYMuKHIO5lVlK5CijN9iyIsdgbpYisJBAWOR4fd+BNLNle7rgfeek3z7/nHT/t/5luvMLn04rVyxLN952X9rw/vPSxRvWj+xsOZNjZKdm5DdM5IifIpEj3lzkiDcXOWLNRY5Y72w0kSPeXOSINxc54s2N2HyBsMiR3YR0ZsuOtHnTFS3VO3c8mLZv3dR6HOv3H9+Vvv3dx9L2rTOt6DFKX51unvrRD16Y7rr5mtZmOpNjlGZrNLdF5IifF5Ej3lzkiDcXOWLNRY5Yb5Ej3jsbUeSIdxc54s2N2HyBWiLHujWr0xf+56+lO37/063IMd9ZEuPAL3KMwyzVu40iR7y/yBFvLnLEm4scseYiR6y3yBHvLXLUYy5y1ONu1GYLhEWO9stVNl55WesSlXeefmrK/nvnAw+nHz397EieydFt+kWObkK+L3LEHwMiR7y5yBFvLnLEmoscsd4iR7y3yFGPuchRj7tRmy0QFjmKjO2XgZy4anm69/br0vnnnjV22iLH2E1Z+AaLHOHkSeSINxc54s1FjlhzkSPWW+SI9xY56jEXOepxN2qzBYYeOfKYkTHef88NrctTmvQlcjRpNoezLyLHcFwXWqvIEW8ucsSbixyx5iJHrLfIEe8tctRjLnLU427UZgsMPXJkfMWbd959y8aRfpJKP1MucvSjNZmvFTni513kiDcXOeLNRY5Yc5Ej1lvkiPcWOeoxFznqcTdqswVCIkc7YXYvju89+kTrj9qfUjKuzCLHuM5c3HaLHHHW+UgiR7y5yBFvLnLEmoscsd4iR7y3yFGPuchRj7tRmy0QHjlyzuyxsdffurP1v2ectnZsL2UROZr9A1LF3okcVSj2tw6Roz+vKl4tclSh2N86RI7+vMq+WuQoK9j/8iuWLk7T01Np74HD/S9siYEEPEJ2ILZSC4kcpfgsTKCjQG2RI9+a/KkrL73y6liGDpHDT1Y3AZGjm1D13xc5qjfttkaRo5tQ9d8XOao3XWiNIkesdzaayBFvLnLEm4sc8eZGbL5A7ZFj3G9MKnI0/4ek7B6KHGUF+19e5OjfrOwSIkdZwf6XFzn6NyuzhMhRRm+wZUWOwdzKLCVylNEbbFmRYzA3SxFYSKC2yOFylXoOzJOWL0nLli5Or+07lA4cPFLPRkzYqCJH/ISLHPHmIke8ucgRay5yxHpno4kc8eYiR7y5yBFvbsTmC4RGjvzSlF1PPdeSdePR+ANM5Ig3FznizUWOeHORI95c5Ig1FzlivUWOeO9sRJEj3l3kiDc3YvMFQiLHk888n669aVvas3d/S9QjZOs7sESOeHuRI95c5Ig3FznizUWOWHORI9Zb5Ij3FjnqMRc56nE3arMFhh45xv2eG92m3z05ugn5vsgRfwyIHPHmIke8ucgRay5yxHqLHPHeIkc95iJHPe5GbbbA0CNHs/lSEjmaPsPl90/kKG/Y7xpEjn7Fyr9e5Chv2O8aRI5+xcq9XuQo5zfI0u7JMYhauWVcrlLOb5ClRY5B1CxDYGEBkaPkESJylAScgMVFjvhJFjnizUWOeHORI9Zc5Ij1zkYTOeLNRY54c5Ej3tyIzRcQOUrOschREnACFhc54idZ5Ig3FznizUWOWHORI9Zb5Ij3zkYUOeLdRY54cyM2X0DkKDnHIkdJwAlYXOSIn2SRI95c5Ig3FzlizUWOWG+RI95b5KjHXOSox92ozRYQOUrOr8hREnACFhc54idZ5Ig3FznizUWOWHORI9Zb5Ij3FjnqMRc56nE3arMFRI6S8ytylAScgMVFjvhJFjnizUWOeHORI9Zc5Ij1FjnivUWOesxFjnrcjdpsgdDI8fq+A2lmy/a066nn0omrlqd7b78unfmud7T+7IL3nZM2XnnZ2GmLHGM3ZeEbLHKEkyeRI95c5Ig3FzlizUWOWG+RI95b5KjHXOSox92ozRYIjRw33nZfeufpp6bfu/xDafMdX0tXfeIj6fxzz0rff3xX+vZ3H0vbt86klSuWjZW4yDFW01XLxooc8ewiR7y5yBFvLnLEmoscsd4iR7y3yFGPuchRj7tRmy0QFjlefHl3mtmyI23edEXr7I32yPHkM8+nO3c8mLZv3ZTWrV09VuIix1hNVy0bK3LEs4sc8eYiR7y5yBFrLnLEeosc8d4iRz3mIkc97kZttsBIRA5ncsQdZCctX5KWLV2cXtt3KB04eCRu4AkeSeSIn3yRI95c5Ig3FzlizUWOWG+RI95b5KjHXOSox92ozRYIixwZ484HHk4/evrZdMfvfzrdvu2brctV1q1Zna76/JfTJR++yD05Ao41kSMAuTCEyBFvLnLEm4sc8eYiR6y5yBHrLXLEe4sc9ZiLHPW4G7XZAqGRI6PMztq4/tadx6jefcvGdPGG9WMp7XKVsZy20I0WOUK5W4OJHPHmIke8ucgRay5yxHqLHPHeIkc95iJHPe5GbbZAeORoGqfI0bQZrX5/RI7qTbutUeToJlT990WO6k27rVHk6CZU7fdFjmo9e1nbiqWL0/T0VNp74HAvL/eaCgROWXlc63LmNw+5pLkCzp5WIXL0xORFBPoSEDn64pr74nGKHD/8N9Pp6aen09+8ltKvr0vpd95/JJ35t4+WFLB4NwGRo5tQdd9/bc9U+pNHp9NP/8NUmp5O6cwzj6YP/f0jadkJ1Y1hTZ0FRI64I+PP/91U+tdPLEq7d6e0enVK77/wSHrve7yXD3sGRI5hC/9q/QfeSOlf/emi9OMfT6Ujb6f0t/7W0fQPPvh2OulEx/mwZ0HkGLbwr9b/4/9vKv3vfzadXn55Kp246mj6O+cfTRf99ttxG1BypCy0+yIwqgJhkSN7ukp27433nvPudNfN14yqR9/bNS6R49//ZCo98M1Fx+zf4kUpXf/Zt9Ly5X3vtgX6EBA5+sAq+dJvfmtRev7HU8es5bf+ztvp0v9qfP7SUJKgtsVFjhj6V15J6av3LU5H2z7rTU2l9Jlr3kpr1sRsw6SOInLEzfx3/8V0+r//7fQxA5515tH0yU84u2DYsyByDFv4F+vfvz+lu/9gcXqrcEhf+ckj6TfePR4xT+SIOVaMMphAWOTINq94P471552dtm+dSStXLBts60dgqXGJHD94dDr9nz/8xV8YLt9zd7rwwPdGQM8mECBAgAABAgQIEJhcgSdOuCR956TPtwD+7kVvpw9/cDz+YUbkmNxjdhz2PDRyFEGyp6189RsPtf74jNPWpvvvuSGtW7t6HNxmt1HkGKvpsrEECBAgQIAAAQIERkZA5BiZqbAhDRKoNXLceNt96XuPPiFyBBxQLlcJQJ5nCJerxNm7XCXOujiSy1Vi7F2uEuPcaRSXq8TZu1wlzro4kstVYuxdrhLjbJTJFQiNHO1nbmTkLleJPfDceDTWOx9N5Ihzd+PROGuRoz5rNx6tx17kiHN349E4a5GjPms3Hq3P3sjNFwiLHG48OhoH00nLl6RlSxen1/Ydaj0izNfwBUSO4RsXR/AI2XhzZ3LEm3uEbKy5yBHrnY3mEbLx5s7kiDf3CNl4cyM2XyAscjSVclzuyZH7ixzxR6LIEW8ucsSbixzx5iJHrLnIEestcsR7ZyOKHPHuIke8uRGbLyBylJxjkaMk4AQsLnLET7LIEW8ucsSbixyx5iJHrLfIEe8tctRjLnLU427UZguIHCXnV+QoCTgBi4sc8ZMscsSbixzx5iJHrLnIEestcsR7ixz1mIsc9bgbtdkCQ48c+b04PvGPPpC+9cePpRd+/nJH0chHyH7/8V3p+lt3traj27hPPvN8uvambWnP3v2z292+jMjR7B+QKvZO5KhCsb91iBz9eVXxapGjCsX+1iFy9OdV9tUiR1nB/pd3T47+zcou4XKVsoL9Ly9y9G9mCQLdBIYeObptQPT3s2jxhTu/nu7YfHU6/9yzUvbElx89/WzavnUmrVyxbM7mFF9ffIHIET2D4zeeyBE/ZyJHvLnIEW8ucsSaixyx3tloIke8ucgRby5yxJsbsfkCYZEjO6NjZsuOtHnTFa240P6VnVnx7e8+Nm9oqHIasqjx05+9lO66+ZrWartFjG7fFzmqnJ1mrkvkiJ9XkSPeXOSINxc5Ys1FjlhvkSPeOxtR5Ih3FznizY3YfIGRiBxZSLhzx4Np+9ZNad3a1UNVv/G2+1rrzyNHfjnNdVdfni7esH7O2MXLVYqXt7z4N28MdXurXnn24W/Z8YvTnv0eIVu17XzrW7pkUVp6/KLWY3t9xQisWrYkvXXkaDpw8K2YAY2SVq86Pu3dfzgdPvI2jSCBdaeckMbtd1AQzVCGOW7RdFq5fEnavffgUNZvpXMFlh+/OE1PT6XX3ziMJ0jg5BXHpTcOHklvHj4SNKJh1p58Qvrr195Ibx8dL4vsd5AvAqMqMBKRo9slI1XiZZHjnaefmjZeeVlrtd0iR3HsbPlXdr86e9bJ0TF7Q5qa+sUejdt2V3kMRK+LebR4SszrMW+9HY7Ze2K8VHUjZse59/LqPLuuaSql7Fco865Slb3Ae3lllD2vqPW+4r28Z68qXjiu7+X5z2cVBtZBoGqBoUeOTjfuLO7EiauWp3tvv27OZSxV72y2vn7P5ChuQ/GsE5erDGOWmrVOl6vEz6fLVeLNXa4Sb+5ylVhzl6vEemejuSdHvLnLVeLNXa4Sb27E5gsMPXLkhAvdkyOSud97cogckbPTzLFEjvh5FTnizUWOeHORI9Zc5Ij1FjnivbMRRY54d5Ej3tyIzRcIixyjQtnt6SpZBHnkBz9M999zQ+v+IH/4R3+S3nP2u2bPMimeCeJMjlGZ2dHdDpEjfm5EjnhzkSPeXOSINRc5Yr1FjnhvkaMec5GjHnejNlsgNHIU72eR0b6+70Ca2bI9XfC+c2bvkzFs8uxpLtffurM1TPFGosXI0f7a7PXrzzv7mKfAiBzDnq3xX7/IET+HIke8ucgRby5yxJqLHLHeIke8t8hRj7nIUY+7UZstEBY58pjx8Us/MOcpJpGPkK16OkWOqkWbtz6RI35ORY54c5Ej3lzkiDUXOWK9RY54b5GjHnORox53ozZbICxyLHRPjshHyFY9nSJH1aLNW5/IET+nIke8ucgRby5yxJqLHLHeIke8t8hRj7nIUY+7UZstEBY5nMkxGgfSScuXpGVLF6fX9h1KBw56BnrErIgcEcrHjiFyxJuLHPHmIkesucgR6y1yxHuLHPWYixz1uBu12QJhkSNjzC5L+dJXHjjmcbH5I2Y/efmHw+7JUeWUOpOjSs1mrkvkiJ9XkSPeXOSINxc5Ys1FjlhvkSPeW+Sox1zkqMfdqM0WCI0cGWUeNfbs3T8re/ctG+fcp2Nc2EWOcZmp+rZT5Ii3FznizUWOeHORI9Zc5Ij1FjnivUWOesxFjnrcjdpsgfDI0TROkaNpM1r9/ogc1Zt2W6PI0U2o+u+LHNWbdlujyNFNqNrvixzVevaythVLF6fp6am098DhXl7uNRUInLLyuNblzG8ecklzBZw9rULk6InJiwj0JSBy9MU198UiR0nACVhc5IifZJEj3lzkiDcXOWLNRY5Y72w0kSPeXOSINxc54s2N2HyB0MiR33x011PPpRNXLW/dm+PMd70jzWzZni543znuyRFwvLnxaAByYQiRI95c5Ig3FznizUWOWHORI9Zb5Ij3zkYUOeLdRY54cyM2XyA0ctx4233pnaefmn7v8g+lzXd8LV31iY+k8889q3VD0m9/97G0fetMWrli2VipO5NjrKarlo0VOeLZRY54c5Ej3lzkiDUXOWK9RY54b5GjHnORox53ozZbICxyvPjy7jSzZUfavOmK1tkb7ZEjuxnpnTseTNu3bkrr1q4eK3GRY6ymq5aNFTni2UWOeHORI95c5Ig1FzlivUWOeG+Rox5zkaMed6M2W2AkIoczOeIOMperxFnnI4kc8eYiR7y5yBFvLnLEmoscsd4iR7y3yFGPuchRj7tRmy0QFjkyxp0PPJx+9PSz6Y7f/3S6fds3W5errFuzOl31+S+nSz58kXtyBBxrIkcAcmEIkSPeXOSINxc54s1FjlhzkSPWW+SI9xY56jEXOepxN2qzBUIjR0aZnbVx/a07j1G9+5aN6eIN68dS2uUqYzltoRstcoRytwYTOeLNRY54c5Ej1lzkiPUWOeK9RY56zEWOetyN2myB8MjRNE6Ro2kzWv3+iBzVm3Zbo8jRTaj674sc1Zt2W6PI0U2o2u+LHNV69rI2j5DtRana13i6SrWevaxN5OhFyWsI9CcgcvTnNefVIkdJwAlYXOSIn2SRI95c5Ig3FzlizUWOWO9sNJEj3lzkiDcXOeLNjdh8gaFHjuypKtk9Nz7xjz6QvvXHj6UXfv7ygqpnnLY23X/PDWPzlBWRo/k/JGX3UOQoK9j/8iJH/2ZllxA5ygr2v7zI0b9ZmSVEjjJ6gy0rcgzmVmYpkaOM3mDLihyDuVmKwEICQ48c+eDtj5A9/9yz5t2m/Oak27fOpJUrlo387IkcIz9FtW+gyBE/BSJHvLnIEW8ucsSaixyx3tloIke8ucgRby5yxJsbsfkCIxc5nnzm+XTnjgfT9q2bxuJsDpGj+T8kZfdQ5Cgr2P/yIkf/ZmWXEDnKCva/vMjRv1mZJUSOMnqDLStyDOZWZimRo4zeYMuKHIO5WYrAQgJhkaPXacievvLt7z6WnMnRq1h/r/MI2f68qni1yFGFYn/rEDn686ri1SJHFYr9rUPk6M+r7KtFjrKC/S8vcvRvVnYJkaOsYP/Lixz9m1mCQDeBkYsc3TZ41L7vTI5Rm5HR2x6RI35ORI54c5Ej3lzkiDUXOWK9s9FEjnhzkSPeXOSINzdi8wXCI0d2z42vfuOhWdkTVy1P995+XVroPh2jPA0ixyjPzmhsm8gRPw8iR7y5yBFvLnLEmoscsd4iR7x3NqLIEe8ucsSbG7H5AqGRIwscj/zgh8c8PSW7B8e1N21LX/zcleniDevHTlzkGLspC99gkSOcPIkc8eYiR7y5yBFrLnLEeosc8d4iRz3mIkc97kZttkBY5MgfJXvd1ZfPiRnjdh+O9kNC5Gj2D0gVeydyVKHY3zpEjv68qni1yFGFYn/rEDn68yr7apGjrGD/y7tcpX+zsks4k6OsYP/Lixz9m1mCQDeB0Mgxs2VH2rzpijmXpozbE1VEjm6Hle+3C4gc8ceDyBFvLnLEm4scseYiR6x3NprIEW8ucsSbixzx5kZsvkBY5Hh934E0s2V7+vilH5hzJofIEXegebpKnHU+ksgRby5yxJuLHPHmIkesucgR6y1yxHtnI4oc8e4iR7y5EZsvEBY5Msr5LkvJ7tXx05+9lO66+ZqxE3e5ythNWfgGixzh5O7JEU+eRI54dJEj1lzkiPUWOeK9RY56zEWOetyN2myBoUaO/D4cL/z85a6KZ5y29pgbknZdYEReIHKMyESM8GaIHPGT40yOeHORI95c5Ig1FzlivUWOeG+Rox5zkaMed6M2W2CokaPZdL/YO5FjEma53D6KHOX8Blla5BhErdwyIkc5v0GWFjkGURt8GZFjcLtBl3RPjkHlBl/O5SqD2w26pMgxqJzlCMwvIHKUPDpEjpKAE7C4yBE/ySJHvLnIEW8ucsSaixyx3tloIke8ucgRby5yxJsbsfkCoZHjxtvuS9979IljVD/6wQvH8l4c+U6IHM3/ISm7hyJHWcH+lxc5+jcru4TIUVaw/+VFjv7NyiwhcpTRG2xZkWMwtzJLiRxl9AZbVuQYzM1SBBYSCIkc+b05Tl1zctq+dSatXLGstU35E1deeuXVsbwfR7YPIocfsG4CIkc3oeq/L3JUb9ptjSJHN6Hqvy9yVG+60BpFjljvbDSRI95c5Ig3FznizY3YfIGQyJGdwZF9zff0lG7fH+VpEDlGeXZGY9tEjvh5EDnizUWOeHORI9Zc5Ij1FjnivbMRRY54d5Ej3tyIzRcYeuTIz9b4+KUfSBdvWN9RdL5Hy44Dv8gxDrNU7zaKHPH+Ike8ucgRby5yxJqLHLHeIke8t8hRj7nIUY+7UZstMPTIkV2qMrNlR9q86Yp0/rlnddR88pnn0507Hkzbt25K69auHitxkWOspquWjRU54tlFjnhzkSPeXOSINRc5Yr1FjnhvkaMec5GjHnejNltg6JHDmRyjdQCdtHxJWrZ0cXpt36F04OCR0dq4hm6NyBE/sSJHvLnIEW8ucsSaixyx3iJHvLfIUY+5yFGPu1GbLTD0yJHxdbvnRrfvj/IUOJNjlGdnNLZN5IifB5Ej3lzkiDcXOWLNRY5Yb5Ej3lvkqMdc5KjH3ajNFgiJHOP+dJWdDzycvvqNh1pHwvrzzj7mCTEiR7N/QKrYO5GjCsX+1iFy9OdVxatFjioU+1uHyNGfV9lXixxlBftf3tNV+jcru4Qbj5YV7H95kaN/M0sQ6CYQEjnyjWiPBfmfffSDF8771JVuGx/x/eymqNu+/p3ZR9wWzzoROSJmYbzHEDni50/kiDcXOeLNRY5Yc5Ej1jsbTeSINxc54s1FjnhzIzZfIDRyjCNnFjXeefqpaeOVl7U2vxg9RI5xnNXYbRY5Yr2z0USOeHORI95c5Ig1FzlivUWOeO9sRJEj3l3kiDc3YvMFRI4F5ji/aeoF7ztnNnJkT4L5wp1fT3dsvrr1tJjXDxweq6Nk6XGL0pLF0+nNQ0fS4bfeHqttH9eNXbxoOi1ePJXedKPXsCk8/rhF6e23jzrGw8RT64bG2ftK5u4rRmDlsiVj9zsoRmY4oyyankrZe8uBN98azgDWOkcgC0tTU1Pp4GE3So86PE44flE6/NbR9NYRf0eMMl9xwpK0/83D6eiY/frMfgf5IjCqAiJHD5Hj45d+IF28YX3rlcXIMaoTa7sIECBAgAABAgQIECBAgMCkCYgcPUQOZ3JM2o9FtfvrTI5qPXtZmzM5elGq9jXO5KjWs5e1OZOjF6XqXuNMjuose12TMzl6larudc7kqM6y1zU5k6NXKa8j0LuAyNHFyj05ej+YvLKzgHtyxB8Z7skRb+6eHPHm7skRa+6eHLHe2WhuPBpv7p4c8ebuyRFvbsTmC4gcXebY01Wa/0Mw7D0UOYYtPHf9Ike8ucgRby5yxJqLHLHeIke8dzaiyBHvLnLEmxux+QIiRw9z3P7o2/XnnZ22b51JK1csay3p6So9AE74S0SO+ANA5Ig3FznizUWOWHORI9Zb5Ij3FjnqMRc56nE3arMFRI6S8ytylAScgMVFjvhJFjnizUWOeHORI9Zc5Ij1FjnivUWOesxFjnrcjdpsAZGj5PyKHCUBJ2BxkSN+kkWOeHORI95c5Ig1FzlivUWOeG+Rox5zkaMed6M2W0DkKDm/IkdJwAlYXOSIn2SRI95c5Ig3FzlizUWOWG+RI95b5KjHXOSox92ozRYQOUrOr8hREnACFhc54idZ5Ig3FznizUWOWHORI9Zb5Ij3FjnqMRc56nE3arMFRI6S8ytylAScgMVFjvhJFjnizUWOeHORI9Zc5Ij1FjnivUWOesxFjnrcjdpsAZGj5PyKHCUBJ2BxkSN+kkWOeHORI95c5Ig1FzlivUWOeG+Rox5zkaMedxkLsjcAABEhSURBVKM2W0DkKDm/IkdJwAlYXOSIn2SRI95c5Ig3FzlizUWOWG+RI95b5KjHXOSox92ozRYQOUrOr8hREnACFhc54idZ5Ig3FznizUWOWHORI9Zb5Ij3FjnqMRc56nE3arMFRI6S8ytylAScgMVFjvhJFjnizUWOeHORI9Zc5Ij1FjnivUWOesxFjnrcjdpsAZGj5PyKHCUBJ2BxkSN+kkWOeHORI95c5Ig1FzlivUWOeG+Rox5zkaMed6M2W0DkKDm/IkdJwAlYXOSIn2SRI95c5Ig3FzlizUWOWG+RI95b5KjHXOSox92ozRYQOUrOr8hREnACFhc54idZ5Ig3FznizUWOWHORI9Zb5Ij3FjnqMRc56nE3arMFRI6S8ytylAScgMVFjvhJFjnizUWOeHORI9Zc5Ij1FjnivUWOesxFjnrcjdpsAZGj5PyKHCUBJ2BxkSN+kkWOeHORI95c5Ig1FzlivUWOeG+Rox5zkaMed6M2W0DkKDm/IkdJwAlYXOSIn2SRI95c5Ig3FzlizUWOWG+RI95b5KjHXOSox92ozRYQOUrOr8hREnACFhc54idZ5Ig3FznizUWOWHORI9Zb5Ij3FjnqMRc56nE3arMFRI6S8ytylAScgMVFjvhJFjnizUWOeHORI9Zc5Ij1FjnivUWOesxFjnrcjdpsAZGj5PyKHCUBJ2BxkSN+kkWOeHORI95c5Ig1FzlivUWOeG+Rox5zkaMed6M2W0DkKDm/IkdJwAlYXOSIn2SRI95c5Ig3FzlizUWOWG+RI95b5KjHXOSox92ozRYQOUrOr8hREnACFhc54idZ5Ig3FznizUWOWHORI9Zb5Ij3FjnqMRc56nE3arMFRI6S8ytylAScgMVFjvhJFjnizUWOeHORI9Zc5Ij1FjnivUWOesxFjnrcjdpsAZGj5PyKHCUBJ2BxkSN+kkWOeHORI95c5Ig1FzlivUWOeG+Rox5zkaMed6M2W0DkKDm/IkdJwAlYXOSIn2SRI95c5Ig3FzlizUWOWG+RI95b5KjHXOSox92ozRYQOUrOr8hREnACFhc54idZ5Ig3FznizUWOWHORI9Zb5Ij3FjnqMRc56nE3arMFRI6S8ytylAScgMVFjvhJFjnizUWOeHORI9Zc5Ij1FjnivUWOesxFjnrcjdpsAZGj5PyKHCUBJ2BxkSN+kkWOeHORI95c5Ig1FzlivUWOeG+Rox5zkaMed6M2W0DkKDm/IkdJwAlYXOSIn2SRI95c5Ig3FzlizUWOWG+RI95b5KjHXOSox92ozRYQOUrOr8hREnACFhc54idZ5Ig3FznizUWOWHORI9Zb5Ij3FjnqMRc56nE3arMFRI6S8ztukSP78Ld86eK0Z//htP/Nt0ruvcV7ERA5elGq9jUiR7WevaxN5OhFqdrXiBzVenZbm8jRTaj6769YujhNT0+lvQcOV79ya+wocMrK49KBg0fSm4eOEAoSEDmCoA0zUQIix0RNt50lQIAAAQIECBAgQIAAAQLNFRA5mju39owAAQIECBAgQIAAAQIECEyUgMgxUdNtZwkQIECAAAECBAgQIECAQHMFRI7mzq09I0CAAAECBAgQIECAAAECEyUgckzQdH//8V3p+lt3tvb4jNPWpvvvuSGtW7t6ggSGt6s7H3g4ffUbD7UGWH/e2Wn71pm0csWyjgM++czz6dqbtqU9e/fPft98VDs3mfGdOx5M27ducoxXS5uyY/2nP3sp3XXzNQuuuf1nIn/hRz94YdflKt7cxq3u9X0H0syW7WnXU8/N7tvdt2xMF29Y37h9jd6h4ntzt/flF1/ena76/JfTCz9/eXZTT1y1PN17+3Xp/HPPit78Ro1XnItuv1cbtfND3pnie/NnPvWxtPHKy+Yd1Xv5kCckpZS/r2cjLfT3x+FviREINEdA5GjOXC64J9lfGL5w59fTHZuvbv3lK/ul9aOnn/VmWsH8Z/Fo29e/MxuNbrztvtZa5/sQWJyLCjbBKn4p0P6ho9sHFGj9CbRH0l5ihfeY/nx7fXV2jP/B1/55uvmzv9cKqdm8fOkrD/hg3SvgAq/LLH/ywouzH/iy9/JXdr867+/J/P3muqsvF5kq8G9fRfb+8e4z1s26dvu9WvHwjV1d9mH6tj/4Z+mzn/7HrX8A6OUY9l4+3MOhPVyLecO1tvbJEhA5JmS+i//66oN2dROf/eXrnaefOvsX42L0KI7Evjr7+dbkTI7hGfdzJoeQOrx5yNfcy4eU4W9FM0fo9l7OPm7efdAejnX+AfuC950z79kc7Idjn681/ztk9v9+Zw7X2tonS0DkmJD5Lv4riL+cVTPxnf6C0C1i9HtKdDVbOllrETmGN9/9RI78Eq5sa3o5+2N4W93cNXd7v2nung9/z7p9uCteruJSleHMSf57ds3qk13uVjFx/veRL37uynnPRiperuK9vLpJaP+7ebf3m+pGtSYCkyEgckzGPKfi2QYiRzUTn//l6+OXfmD2Lwj9fujodkp0NVs6WWsROYY3371GjvYtyN9vLvnwRQte+z28rW7mmnv5V9hm7vnw96rf9/Fsi7KfjUd+8EP3u6pwerLfj9979Imu97qqcMiJWFV7oOt2Tw7v5cM5JIq/S0WO4Thb6+QKiBwTMvfO5BjORA9yJkdxS3wgr35umFZvmq9xkMiRfwDs5Yalw9vyZq3Zv24Pbz57+dftTqNnHxxntuxImzdd4cajFU+PD4AVg/5ydYOE0kF/BwxnD8Z3rXnAK+6B+3KM75za8tESEDlGaz6GtjXuyTE02jlnyXS7jlvkGN5c5GsWOYZnPOhfcAddbnh7Mr5rFjiGN3eDBo5si0SO4c6LJ2YNx7ff9+Z+Xz+crW7eWoW85s2pPapXQOSo1z9sdE9XGR51t6erFE9h/sM/+pP0nrPfNfsvfe4aX/3ciBzVm+Zr7PQX3OLlKNmH8Pu++Ui65pOXtJ4A4vK46uZjkH95rW70Zq+p2yUqxffy7L0/+8of3+tDSnXHx633PJAu+dCFx/yeXOhJN9WN3Ow1FZ/O1OlSwvZLaDMN7+Uxx4T3jxhno0yOgMgxOXPdetTg9bfubO2xx2tWO/HtN+YqnmrY6S/G+TxkW+HUxOrmongjwGzNbpJWjW/7+0e+xrtv2dj6gDffX5Sza+nzr36u+65mi5u5luKNi/O9dJyXn+/iDRaLx3nxvdxNpMubz7eG4vuN35PVWRcvkyi+NxfvE9bt9dVt2WSvSeSY7Pm399ULiBzVm1ojAQIECBAgQIAAAQIECBAgUIOAyFEDuiEJECBAgAABAgQIECBAgACB6gVEjupNrZEAAQIECBAgQIAAAQIECBCoQUDkqAHdkAQIECBAgAABAgQIECBAgED1AiJH9abWSIAAAQIECBAgQIAAAQIECNQgIHLUgG5IAgQIECBAgAABAgQIECBAoHoBkaN6U2skQIAAAQIECBAgQIAAAQIEahAQOWpANyQBAgQIECBAgAABAgQIECBQvYDIUb2pNRIgQIAAAQIECBAgQIAAAQI1CIgcNaAbkgABAgQIECBAgAABAgQIEKheQOSo3tQaCRAgQIAAAQIECBAgQIAAgRoERI4a0A1JgAABAgQIECBAgAABAgQIVC8gclRvao0ECBAgQIAAAQIECBAgQIBADQIiRw3ohiRAgAABAgQIECBAgAABAgSqFxA5qje1RgIECBAgQIAAAQIECBAgQKAGAZGjBnRDEiBAgAABAgQIECBAgAABAtULiBzVm1ojAQIECBAYOYGdDzycfvT0s2n71pm0csWykds+G0SAAAECBAgQqEJA5KhC0ToIECBAgMAAAk8+83y69qZtac/e/fMu/ZlPfSxtvPKyY77/+r4DaWbL9rRm9cnprpuv6WlkkaMnJi8iQIAAAQIExlxA5BjzCbT5BAgQINAcgWGGiGGuuzkzYE8IECBAgACBcRcQOcZ9Bm0/AQIECDRGoBgi8jM2LnjfOemnP3spfe/RJ9IZp61N27duSnfs+GbK/jw/yyNb9qvfeGjW4sRVy9O9t1+Xzj/3rNafiRyNOUzsCAECBAgQILCAgMjh8CBAgAABAiMiMF/k2PXUc+nuWzamizesb21pe/xojxzvPmPd7GuydT3ygx+m+++5Ia1bu1rkGJE5thkECBAgQIDAcAVEjuH6WjsBAgQIEOhZYKEzOdrvy9EpchQHefHl3Wlmy460edMVrbM5nMnR8zR4IQECBAgQIDDGAiLHGE+eTSdAgACBZgmUjRw33nZf65KW9q/8DBCRo1nHir0hQIAAAQIEOguIHI4MAgQIECAwIgKDRo7srI2rPv/ldOqak2cfEZv/2XVXX966hEXkGJFJthkECBAgQIDAUAVEjqHyWjkBAgQIEOhdYNDIkT2K9s4dD7ZuSJrdfyP7Ejl6d/dKAgQIECBAoDkCIkdz5tKeECBAgMCYC5SJHNfetC198XNXzt54NL90xeUqY35Q2HwCBAgQIECgLwGRoy8uLyZAgAABAsMTGDRyZFv0/cd3petv3Tm7cTd+5hPpW3/8WHK5yvDmy5oJECBAgACB0RMQOUZvTmwRAQIECBAgQIAAAQIECBAgMICAyDEAmkUIECBAgAABAgQIECBAgACB0RMQOUZvTmwRAQIECBAgQIAAAQIECBAgMICAyDEAmkUIECBAgAABAgQIECBAgACB0RMQOUZvTmwRAQIECBAgQIAAAQIECBAgMICAyDEAmkUIECBAgAABAgQIECBAgACB0RMQOUZvTmwRAQIECBAgQIAAAQIECBAgMICAyDEAmkUIECBAgAABAgQIECBAgACB0RMQOUZvTmwRAQIECBAgQIAAAQIECBAgMICAyDEAmkUIECBAgAABAgQIECBAgACB0RMQOUZvTmwRAQIECBAgQIAAAQIECBAgMICAyDEAmkUIECBAgAABAgQIECBAgACB0RMQOUZvTmwRAQIECBAgQIAAAQIECBAgMICAyDEAmkUIECBAgAABAgQIECBAgACB0RMQOUZvTmwRAQIECBAgQIAAAQIECBAgMICAyDEAmkUIECBAgAABAgQIECBAgACB0RMQOUZvTmwRAQIECBAgQIAAAQIECBAgMICAyDEAmkUIECBAgAABAgQIECBAgACB0RMQOUZvTmwRAQIECBAgQIAAAQIECBAgMICAyDEAmkUIECBAgAABAgQIECBAgACB0RMQOUZvTmwRAQIECBAgQIAAAQIECBAgMICAyDEAmkUIECBAgAABAgQIECBAgACB0RMQOUZvTmwRAQIECBAgQIAAAQIECBAgMICAyDEAmkUIECBAgAABAgQIECBAgACB0RMQOUZvTmwRAQIECBAgQIAAAQIECBAgMICAyDEAmkUIECBAgAABAgQIECBAgACB0RMQOUZvTmwRAQIECBAgQIAAAQIECBAgMICAyDEAmkUIECBAgAABAgQIECBAgACB0RMQOUZvTmwRAQIECBAgQIAAAQIECBAgMICAyDEAmkUIECBAgAABAgQIECBAgACB0RMQOUZvTmwRAQIECBAgQIAAAQIECBAgMICAyDEAmkUIECBAgAABAgQIECBAgACB0RMQOUZvTmwRAQIECBAgQIAAAQIECBAgMICAyDEAmkUIECBAgAABAgQIECBAgACB0RMQOUZvTmwRAQIECBAgQIAAAQIECBAgMICAyDEAmkUIECBAgAABAgQIECBAgACB0RMQOUZvTmwRAQIECBAgQIAAAQIECBAgMICAyDEAmkUIECBAgAABAgQIECBAgACB0RMQOUZvTmwRAQIECBAgQIAAAQIECBAgMICAyDEAmkUIECBAgAABAgQIECBAgACB0RP4/wH7J6E+TXIXogAAAABJRU5ErkJggg==",
      "text/html": [
       "<div>                            <div id=\"bcf8bdfd-f6cd-405b-821c-d932c3e9d63b\" class=\"plotly-graph-div\" style=\"height:525px; width:100%;\"></div>            <script type=\"text/javascript\">                require([\"plotly\"], function(Plotly) {                    window.PLOTLYENV=window.PLOTLYENV || {};                                    if (document.getElementById(\"bcf8bdfd-f6cd-405b-821c-d932c3e9d63b\")) {                    Plotly.newPlot(                        \"bcf8bdfd-f6cd-405b-821c-d932c3e9d63b\",                        [{\"mode\":\"markers\",\"name\":\"Objective Value\",\"x\":[0,1,2,3,4],\"y\":[0.6274025772395591,0.6274025772395591,0.6274025772395591,0.6274025772395591,0.6274025772395591],\"type\":\"scatter\"},{\"mode\":\"lines\",\"name\":\"Best Value\",\"x\":[0,1,2,3,4],\"y\":[0.6274025772395591,0.6274025772395591,0.6274025772395591,0.6274025772395591,0.6274025772395591],\"type\":\"scatter\"},{\"marker\":{\"color\":\"#cccccc\"},\"mode\":\"markers\",\"name\":\"Infeasible Trial\",\"showlegend\":false,\"x\":[],\"y\":[],\"type\":\"scatter\"}],                        {\"title\":{\"text\":\"Optimization History Plot\"},\"xaxis\":{\"title\":{\"text\":\"Trial\"}},\"yaxis\":{\"title\":{\"text\":\"Objective Value\"}},\"template\":{\"data\":{\"histogram2dcontour\":[{\"type\":\"histogram2dcontour\",\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"colorscale\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]]}],\"choropleth\":[{\"type\":\"choropleth\",\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}}],\"histogram2d\":[{\"type\":\"histogram2d\",\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"colorscale\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]]}],\"heatmap\":[{\"type\":\"heatmap\",\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"colorscale\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]]}],\"heatmapgl\":[{\"type\":\"heatmapgl\",\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"colorscale\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]]}],\"contourcarpet\":[{\"type\":\"contourcarpet\",\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}}],\"contour\":[{\"type\":\"contour\",\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"colorscale\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]]}],\"surface\":[{\"type\":\"surface\",\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"colorscale\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]]}],\"mesh3d\":[{\"type\":\"mesh3d\",\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}}],\"scatter\":[{\"fillpattern\":{\"fillmode\":\"overlay\",\"size\":10,\"solidity\":0.2},\"type\":\"scatter\"}],\"parcoords\":[{\"type\":\"parcoords\",\"line\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}}}],\"scatterpolargl\":[{\"type\":\"scatterpolargl\",\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}}}],\"bar\":[{\"error_x\":{\"color\":\"#2a3f5f\"},\"error_y\":{\"color\":\"#2a3f5f\"},\"marker\":{\"line\":{\"color\":\"#E5ECF6\",\"width\":0.5},\"pattern\":{\"fillmode\":\"overlay\",\"size\":10,\"solidity\":0.2}},\"type\":\"bar\"}],\"scattergeo\":[{\"type\":\"scattergeo\",\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}}}],\"scatterpolar\":[{\"type\":\"scatterpolar\",\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}}}],\"histogram\":[{\"marker\":{\"pattern\":{\"fillmode\":\"overlay\",\"size\":10,\"solidity\":0.2}},\"type\":\"histogram\"}],\"scattergl\":[{\"type\":\"scattergl\",\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}}}],\"scatter3d\":[{\"type\":\"scatter3d\",\"line\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}}}],\"scattermapbox\":[{\"type\":\"scattermapbox\",\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}}}],\"scatterternary\":[{\"type\":\"scatterternary\",\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}}}],\"scattercarpet\":[{\"type\":\"scattercarpet\",\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}}}],\"carpet\":[{\"aaxis\":{\"endlinecolor\":\"#2a3f5f\",\"gridcolor\":\"white\",\"linecolor\":\"white\",\"minorgridcolor\":\"white\",\"startlinecolor\":\"#2a3f5f\"},\"baxis\":{\"endlinecolor\":\"#2a3f5f\",\"gridcolor\":\"white\",\"linecolor\":\"white\",\"minorgridcolor\":\"white\",\"startlinecolor\":\"#2a3f5f\"},\"type\":\"carpet\"}],\"table\":[{\"cells\":{\"fill\":{\"color\":\"#EBF0F8\"},\"line\":{\"color\":\"white\"}},\"header\":{\"fill\":{\"color\":\"#C8D4E3\"},\"line\":{\"color\":\"white\"}},\"type\":\"table\"}],\"barpolar\":[{\"marker\":{\"line\":{\"color\":\"#E5ECF6\",\"width\":0.5},\"pattern\":{\"fillmode\":\"overlay\",\"size\":10,\"solidity\":0.2}},\"type\":\"barpolar\"}],\"pie\":[{\"automargin\":true,\"type\":\"pie\"}]},\"layout\":{\"autotypenumbers\":\"strict\",\"colorway\":[\"#636efa\",\"#EF553B\",\"#00cc96\",\"#ab63fa\",\"#FFA15A\",\"#19d3f3\",\"#FF6692\",\"#B6E880\",\"#FF97FF\",\"#FECB52\"],\"font\":{\"color\":\"#2a3f5f\"},\"hovermode\":\"closest\",\"hoverlabel\":{\"align\":\"left\"},\"paper_bgcolor\":\"white\",\"plot_bgcolor\":\"#E5ECF6\",\"polar\":{\"bgcolor\":\"#E5ECF6\",\"angularaxis\":{\"gridcolor\":\"white\",\"linecolor\":\"white\",\"ticks\":\"\"},\"radialaxis\":{\"gridcolor\":\"white\",\"linecolor\":\"white\",\"ticks\":\"\"}},\"ternary\":{\"bgcolor\":\"#E5ECF6\",\"aaxis\":{\"gridcolor\":\"white\",\"linecolor\":\"white\",\"ticks\":\"\"},\"baxis\":{\"gridcolor\":\"white\",\"linecolor\":\"white\",\"ticks\":\"\"},\"caxis\":{\"gridcolor\":\"white\",\"linecolor\":\"white\",\"ticks\":\"\"}},\"coloraxis\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"colorscale\":{\"sequential\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]],\"sequentialminus\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]],\"diverging\":[[0,\"#8e0152\"],[0.1,\"#c51b7d\"],[0.2,\"#de77ae\"],[0.3,\"#f1b6da\"],[0.4,\"#fde0ef\"],[0.5,\"#f7f7f7\"],[0.6,\"#e6f5d0\"],[0.7,\"#b8e186\"],[0.8,\"#7fbc41\"],[0.9,\"#4d9221\"],[1,\"#276419\"]]},\"xaxis\":{\"gridcolor\":\"white\",\"linecolor\":\"white\",\"ticks\":\"\",\"title\":{\"standoff\":15},\"zerolinecolor\":\"white\",\"automargin\":true,\"zerolinewidth\":2},\"yaxis\":{\"gridcolor\":\"white\",\"linecolor\":\"white\",\"ticks\":\"\",\"title\":{\"standoff\":15},\"zerolinecolor\":\"white\",\"automargin\":true,\"zerolinewidth\":2},\"scene\":{\"xaxis\":{\"backgroundcolor\":\"#E5ECF6\",\"gridcolor\":\"white\",\"linecolor\":\"white\",\"showbackground\":true,\"ticks\":\"\",\"zerolinecolor\":\"white\",\"gridwidth\":2},\"yaxis\":{\"backgroundcolor\":\"#E5ECF6\",\"gridcolor\":\"white\",\"linecolor\":\"white\",\"showbackground\":true,\"ticks\":\"\",\"zerolinecolor\":\"white\",\"gridwidth\":2},\"zaxis\":{\"backgroundcolor\":\"#E5ECF6\",\"gridcolor\":\"white\",\"linecolor\":\"white\",\"showbackground\":true,\"ticks\":\"\",\"zerolinecolor\":\"white\",\"gridwidth\":2}},\"shapedefaults\":{\"line\":{\"color\":\"#2a3f5f\"}},\"annotationdefaults\":{\"arrowcolor\":\"#2a3f5f\",\"arrowhead\":0,\"arrowwidth\":1},\"geo\":{\"bgcolor\":\"white\",\"landcolor\":\"#E5ECF6\",\"subunitcolor\":\"white\",\"showland\":true,\"showlakes\":true,\"lakecolor\":\"white\"},\"title\":{\"x\":0.05},\"mapbox\":{\"style\":\"light\"}}}},                        {\"responsive\": true}                    ).then(function(){\n",
       "                            \n",
       "var gd = document.getElementById('bcf8bdfd-f6cd-405b-821c-d932c3e9d63b');\n",
       "var x = new MutationObserver(function (mutations, observer) {{\n",
       "        var display = window.getComputedStyle(gd).display;\n",
       "        if (!display || display === 'none') {{\n",
       "            console.log([gd, 'removed!']);\n",
       "            Plotly.purge(gd);\n",
       "            observer.disconnect();\n",
       "        }}\n",
       "}});\n",
       "\n",
       "// Listen for the removal of the full notebook cells\n",
       "var notebookContainer = gd.closest('#notebook-container');\n",
       "if (notebookContainer) {{\n",
       "    x.observe(notebookContainer, {childList: true});\n",
       "}}\n",
       "\n",
       "// Listen for the clearing of the current output cell\n",
       "var outputEl = gd.closest('.output');\n",
       "if (outputEl) {{\n",
       "    x.observe(outputEl, {childList: true});\n",
       "}}\n",
       "\n",
       "                        })                };                });            </script>        </div>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plot_optimization_history(study)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "id": "a17a31eb-04e9-4d0b-ac25-4a9380209ffc",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0.9121409718987733\n",
      "CPU times: total: 672 ms\n",
      "Wall time: 1.31 s\n"
     ]
    }
   ],
   "source": [
    "warnings.filterwarnings(\"ignore\")\n",
    "%time study_dask = xgb_hpo_dask()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "id": "598b127e-2ef2-4f84-8a6b-45cf5551be0b",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "application/vnd.plotly.v1+json": {
       "config": {
        "plotlyServerURL": "https://plot.ly"
       },
       "data": [
        {
         "mode": "markers",
         "name": "Objective Value",
         "type": "scatter",
         "x": [
          0,
          1,
          2,
          3,
          4
         ],
         "y": [
          0.6274025772395591,
          0.6274025772395591,
          0.9121409718987733,
          0.6274025772395591,
          0.6274025772395591
         ]
        },
        {
         "mode": "lines",
         "name": "Best Value",
         "type": "scatter",
         "x": [
          0,
          1,
          2,
          3,
          4
         ],
         "y": [
          0.6274025772395591,
          0.6274025772395591,
          0.9121409718987733,
          0.9121409718987733,
          0.9121409718987733
         ]
        },
        {
         "marker": {
          "color": "#cccccc"
         },
         "mode": "markers",
         "name": "Infeasible Trial",
         "showlegend": false,
         "type": "scatter",
         "x": [],
         "y": []
        }
       ],
       "layout": {
        "autosize": true,
        "template": {
         "data": {
          "bar": [
           {
            "error_x": {
             "color": "#2a3f5f"
            },
            "error_y": {
             "color": "#2a3f5f"
            },
            "marker": {
             "line": {
              "color": "#E5ECF6",
              "width": 0.5
             },
             "pattern": {
              "fillmode": "overlay",
              "size": 10,
              "solidity": 0.2
             }
            },
            "type": "bar"
           }
          ],
          "barpolar": [
           {
            "marker": {
             "line": {
              "color": "#E5ECF6",
              "width": 0.5
             },
             "pattern": {
              "fillmode": "overlay",
              "size": 10,
              "solidity": 0.2
             }
            },
            "type": "barpolar"
           }
          ],
          "carpet": [
           {
            "aaxis": {
             "endlinecolor": "#2a3f5f",
             "gridcolor": "white",
             "linecolor": "white",
             "minorgridcolor": "white",
             "startlinecolor": "#2a3f5f"
            },
            "baxis": {
             "endlinecolor": "#2a3f5f",
             "gridcolor": "white",
             "linecolor": "white",
             "minorgridcolor": "white",
             "startlinecolor": "#2a3f5f"
            },
            "type": "carpet"
           }
          ],
          "choropleth": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "type": "choropleth"
           }
          ],
          "contour": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "colorscale": [
             [
              0,
              "#0d0887"
             ],
             [
              0.1111111111111111,
              "#46039f"
             ],
             [
              0.2222222222222222,
              "#7201a8"
             ],
             [
              0.3333333333333333,
              "#9c179e"
             ],
             [
              0.4444444444444444,
              "#bd3786"
             ],
             [
              0.5555555555555556,
              "#d8576b"
             ],
             [
              0.6666666666666666,
              "#ed7953"
             ],
             [
              0.7777777777777778,
              "#fb9f3a"
             ],
             [
              0.8888888888888888,
              "#fdca26"
             ],
             [
              1,
              "#f0f921"
             ]
            ],
            "type": "contour"
           }
          ],
          "contourcarpet": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "type": "contourcarpet"
           }
          ],
          "heatmap": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "colorscale": [
             [
              0,
              "#0d0887"
             ],
             [
              0.1111111111111111,
              "#46039f"
             ],
             [
              0.2222222222222222,
              "#7201a8"
             ],
             [
              0.3333333333333333,
              "#9c179e"
             ],
             [
              0.4444444444444444,
              "#bd3786"
             ],
             [
              0.5555555555555556,
              "#d8576b"
             ],
             [
              0.6666666666666666,
              "#ed7953"
             ],
             [
              0.7777777777777778,
              "#fb9f3a"
             ],
             [
              0.8888888888888888,
              "#fdca26"
             ],
             [
              1,
              "#f0f921"
             ]
            ],
            "type": "heatmap"
           }
          ],
          "heatmapgl": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "colorscale": [
             [
              0,
              "#0d0887"
             ],
             [
              0.1111111111111111,
              "#46039f"
             ],
             [
              0.2222222222222222,
              "#7201a8"
             ],
             [
              0.3333333333333333,
              "#9c179e"
             ],
             [
              0.4444444444444444,
              "#bd3786"
             ],
             [
              0.5555555555555556,
              "#d8576b"
             ],
             [
              0.6666666666666666,
              "#ed7953"
             ],
             [
              0.7777777777777778,
              "#fb9f3a"
             ],
             [
              0.8888888888888888,
              "#fdca26"
             ],
             [
              1,
              "#f0f921"
             ]
            ],
            "type": "heatmapgl"
           }
          ],
          "histogram": [
           {
            "marker": {
             "pattern": {
              "fillmode": "overlay",
              "size": 10,
              "solidity": 0.2
             }
            },
            "type": "histogram"
           }
          ],
          "histogram2d": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "colorscale": [
             [
              0,
              "#0d0887"
             ],
             [
              0.1111111111111111,
              "#46039f"
             ],
             [
              0.2222222222222222,
              "#7201a8"
             ],
             [
              0.3333333333333333,
              "#9c179e"
             ],
             [
              0.4444444444444444,
              "#bd3786"
             ],
             [
              0.5555555555555556,
              "#d8576b"
             ],
             [
              0.6666666666666666,
              "#ed7953"
             ],
             [
              0.7777777777777778,
              "#fb9f3a"
             ],
             [
              0.8888888888888888,
              "#fdca26"
             ],
             [
              1,
              "#f0f921"
             ]
            ],
            "type": "histogram2d"
           }
          ],
          "histogram2dcontour": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "colorscale": [
             [
              0,
              "#0d0887"
             ],
             [
              0.1111111111111111,
              "#46039f"
             ],
             [
              0.2222222222222222,
              "#7201a8"
             ],
             [
              0.3333333333333333,
              "#9c179e"
             ],
             [
              0.4444444444444444,
              "#bd3786"
             ],
             [
              0.5555555555555556,
              "#d8576b"
             ],
             [
              0.6666666666666666,
              "#ed7953"
             ],
             [
              0.7777777777777778,
              "#fb9f3a"
             ],
             [
              0.8888888888888888,
              "#fdca26"
             ],
             [
              1,
              "#f0f921"
             ]
            ],
            "type": "histogram2dcontour"
           }
          ],
          "mesh3d": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "type": "mesh3d"
           }
          ],
          "parcoords": [
           {
            "line": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "parcoords"
           }
          ],
          "pie": [
           {
            "automargin": true,
            "type": "pie"
           }
          ],
          "scatter": [
           {
            "fillpattern": {
             "fillmode": "overlay",
             "size": 10,
             "solidity": 0.2
            },
            "type": "scatter"
           }
          ],
          "scatter3d": [
           {
            "line": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scatter3d"
           }
          ],
          "scattercarpet": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scattercarpet"
           }
          ],
          "scattergeo": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scattergeo"
           }
          ],
          "scattergl": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scattergl"
           }
          ],
          "scattermapbox": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scattermapbox"
           }
          ],
          "scatterpolar": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scatterpolar"
           }
          ],
          "scatterpolargl": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scatterpolargl"
           }
          ],
          "scatterternary": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scatterternary"
           }
          ],
          "surface": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "colorscale": [
             [
              0,
              "#0d0887"
             ],
             [
              0.1111111111111111,
              "#46039f"
             ],
             [
              0.2222222222222222,
              "#7201a8"
             ],
             [
              0.3333333333333333,
              "#9c179e"
             ],
             [
              0.4444444444444444,
              "#bd3786"
             ],
             [
              0.5555555555555556,
              "#d8576b"
             ],
             [
              0.6666666666666666,
              "#ed7953"
             ],
             [
              0.7777777777777778,
              "#fb9f3a"
             ],
             [
              0.8888888888888888,
              "#fdca26"
             ],
             [
              1,
              "#f0f921"
             ]
            ],
            "type": "surface"
           }
          ],
          "table": [
           {
            "cells": {
             "fill": {
              "color": "#EBF0F8"
             },
             "line": {
              "color": "white"
             }
            },
            "header": {
             "fill": {
              "color": "#C8D4E3"
             },
             "line": {
              "color": "white"
             }
            },
            "type": "table"
           }
          ]
         },
         "layout": {
          "annotationdefaults": {
           "arrowcolor": "#2a3f5f",
           "arrowhead": 0,
           "arrowwidth": 1
          },
          "autotypenumbers": "strict",
          "coloraxis": {
           "colorbar": {
            "outlinewidth": 0,
            "ticks": ""
           }
          },
          "colorscale": {
           "diverging": [
            [
             0,
             "#8e0152"
            ],
            [
             0.1,
             "#c51b7d"
            ],
            [
             0.2,
             "#de77ae"
            ],
            [
             0.3,
             "#f1b6da"
            ],
            [
             0.4,
             "#fde0ef"
            ],
            [
             0.5,
             "#f7f7f7"
            ],
            [
             0.6,
             "#e6f5d0"
            ],
            [
             0.7,
             "#b8e186"
            ],
            [
             0.8,
             "#7fbc41"
            ],
            [
             0.9,
             "#4d9221"
            ],
            [
             1,
             "#276419"
            ]
           ],
           "sequential": [
            [
             0,
             "#0d0887"
            ],
            [
             0.1111111111111111,
             "#46039f"
            ],
            [
             0.2222222222222222,
             "#7201a8"
            ],
            [
             0.3333333333333333,
             "#9c179e"
            ],
            [
             0.4444444444444444,
             "#bd3786"
            ],
            [
             0.5555555555555556,
             "#d8576b"
            ],
            [
             0.6666666666666666,
             "#ed7953"
            ],
            [
             0.7777777777777778,
             "#fb9f3a"
            ],
            [
             0.8888888888888888,
             "#fdca26"
            ],
            [
             1,
             "#f0f921"
            ]
           ],
           "sequentialminus": [
            [
             0,
             "#0d0887"
            ],
            [
             0.1111111111111111,
             "#46039f"
            ],
            [
             0.2222222222222222,
             "#7201a8"
            ],
            [
             0.3333333333333333,
             "#9c179e"
            ],
            [
             0.4444444444444444,
             "#bd3786"
            ],
            [
             0.5555555555555556,
             "#d8576b"
            ],
            [
             0.6666666666666666,
             "#ed7953"
            ],
            [
             0.7777777777777778,
             "#fb9f3a"
            ],
            [
             0.8888888888888888,
             "#fdca26"
            ],
            [
             1,
             "#f0f921"
            ]
           ]
          },
          "colorway": [
           "#636efa",
           "#EF553B",
           "#00cc96",
           "#ab63fa",
           "#FFA15A",
           "#19d3f3",
           "#FF6692",
           "#B6E880",
           "#FF97FF",
           "#FECB52"
          ],
          "font": {
           "color": "#2a3f5f"
          },
          "geo": {
           "bgcolor": "white",
           "lakecolor": "white",
           "landcolor": "#E5ECF6",
           "showlakes": true,
           "showland": true,
           "subunitcolor": "white"
          },
          "hoverlabel": {
           "align": "left"
          },
          "hovermode": "closest",
          "mapbox": {
           "style": "light"
          },
          "paper_bgcolor": "white",
          "plot_bgcolor": "#E5ECF6",
          "polar": {
           "angularaxis": {
            "gridcolor": "white",
            "linecolor": "white",
            "ticks": ""
           },
           "bgcolor": "#E5ECF6",
           "radialaxis": {
            "gridcolor": "white",
            "linecolor": "white",
            "ticks": ""
           }
          },
          "scene": {
           "xaxis": {
            "backgroundcolor": "#E5ECF6",
            "gridcolor": "white",
            "gridwidth": 2,
            "linecolor": "white",
            "showbackground": true,
            "ticks": "",
            "zerolinecolor": "white"
           },
           "yaxis": {
            "backgroundcolor": "#E5ECF6",
            "gridcolor": "white",
            "gridwidth": 2,
            "linecolor": "white",
            "showbackground": true,
            "ticks": "",
            "zerolinecolor": "white"
           },
           "zaxis": {
            "backgroundcolor": "#E5ECF6",
            "gridcolor": "white",
            "gridwidth": 2,
            "linecolor": "white",
            "showbackground": true,
            "ticks": "",
            "zerolinecolor": "white"
           }
          },
          "shapedefaults": {
           "line": {
            "color": "#2a3f5f"
           }
          },
          "ternary": {
           "aaxis": {
            "gridcolor": "white",
            "linecolor": "white",
            "ticks": ""
           },
           "baxis": {
            "gridcolor": "white",
            "linecolor": "white",
            "ticks": ""
           },
           "bgcolor": "#E5ECF6",
           "caxis": {
            "gridcolor": "white",
            "linecolor": "white",
            "ticks": ""
           }
          },
          "title": {
           "x": 0.05
          },
          "xaxis": {
           "automargin": true,
           "gridcolor": "white",
           "linecolor": "white",
           "ticks": "",
           "title": {
            "standoff": 15
           },
           "zerolinecolor": "white",
           "zerolinewidth": 2
          },
          "yaxis": {
           "automargin": true,
           "gridcolor": "white",
           "linecolor": "white",
           "ticks": "",
           "title": {
            "standoff": 15
           },
           "zerolinecolor": "white",
           "zerolinewidth": 2
          }
         }
        },
        "title": {
         "text": "Optimization History Plot"
        },
        "xaxis": {
         "autorange": true,
         "range": [
          -0.24506578947368426,
          4.245065789473684
         ],
         "title": {
          "text": "Trial"
         },
         "type": "linear"
        },
        "yaxis": {
         "autorange": true,
         "range": [
          0.6039047485540899,
          0.9356388005842424
         ],
         "title": {
          "text": "Objective Value"
         },
         "type": "linear"
        }
       }
      },
      "image/png": "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",
      "text/html": [
       "<div>                            <div id=\"2ed1bf92-bc11-4ad2-9dde-103dcf5a5909\" class=\"plotly-graph-div\" style=\"height:525px; width:100%;\"></div>            <script type=\"text/javascript\">                require([\"plotly\"], function(Plotly) {                    window.PLOTLYENV=window.PLOTLYENV || {};                                    if (document.getElementById(\"2ed1bf92-bc11-4ad2-9dde-103dcf5a5909\")) {                    Plotly.newPlot(                        \"2ed1bf92-bc11-4ad2-9dde-103dcf5a5909\",                        [{\"mode\":\"markers\",\"name\":\"Objective Value\",\"x\":[0,1,2,3,4],\"y\":[0.6274025772395591,0.6274025772395591,0.9121409718987733,0.6274025772395591,0.6274025772395591],\"type\":\"scatter\"},{\"mode\":\"lines\",\"name\":\"Best Value\",\"x\":[0,1,2,3,4],\"y\":[0.6274025772395591,0.6274025772395591,0.9121409718987733,0.9121409718987733,0.9121409718987733],\"type\":\"scatter\"},{\"marker\":{\"color\":\"#cccccc\"},\"mode\":\"markers\",\"name\":\"Infeasible Trial\",\"showlegend\":false,\"x\":[],\"y\":[],\"type\":\"scatter\"}],                        {\"title\":{\"text\":\"Optimization History Plot\"},\"xaxis\":{\"title\":{\"text\":\"Trial\"}},\"yaxis\":{\"title\":{\"text\":\"Objective Value\"}},\"template\":{\"data\":{\"histogram2dcontour\":[{\"type\":\"histogram2dcontour\",\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"colorscale\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]]}],\"choropleth\":[{\"type\":\"choropleth\",\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}}],\"histogram2d\":[{\"type\":\"histogram2d\",\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"colorscale\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]]}],\"heatmap\":[{\"type\":\"heatmap\",\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"colorscale\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]]}],\"heatmapgl\":[{\"type\":\"heatmapgl\",\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"colorscale\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]]}],\"contourcarpet\":[{\"type\":\"contourcarpet\",\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}}],\"contour\":[{\"type\":\"contour\",\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"colorscale\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]]}],\"surface\":[{\"type\":\"surface\",\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"colorscale\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]]}],\"mesh3d\":[{\"type\":\"mesh3d\",\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}}],\"scatter\":[{\"fillpattern\":{\"fillmode\":\"overlay\",\"size\":10,\"solidity\":0.2},\"type\":\"scatter\"}],\"parcoords\":[{\"type\":\"parcoords\",\"line\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}}}],\"scatterpolargl\":[{\"type\":\"scatterpolargl\",\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}}}],\"bar\":[{\"error_x\":{\"color\":\"#2a3f5f\"},\"error_y\":{\"color\":\"#2a3f5f\"},\"marker\":{\"line\":{\"color\":\"#E5ECF6\",\"width\":0.5},\"pattern\":{\"fillmode\":\"overlay\",\"size\":10,\"solidity\":0.2}},\"type\":\"bar\"}],\"scattergeo\":[{\"type\":\"scattergeo\",\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}}}],\"scatterpolar\":[{\"type\":\"scatterpolar\",\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}}}],\"histogram\":[{\"marker\":{\"pattern\":{\"fillmode\":\"overlay\",\"size\":10,\"solidity\":0.2}},\"type\":\"histogram\"}],\"scattergl\":[{\"type\":\"scattergl\",\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}}}],\"scatter3d\":[{\"type\":\"scatter3d\",\"line\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}}}],\"scattermapbox\":[{\"type\":\"scattermapbox\",\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}}}],\"scatterternary\":[{\"type\":\"scatterternary\",\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}}}],\"scattercarpet\":[{\"type\":\"scattercarpet\",\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}}}],\"carpet\":[{\"aaxis\":{\"endlinecolor\":\"#2a3f5f\",\"gridcolor\":\"white\",\"linecolor\":\"white\",\"minorgridcolor\":\"white\",\"startlinecolor\":\"#2a3f5f\"},\"baxis\":{\"endlinecolor\":\"#2a3f5f\",\"gridcolor\":\"white\",\"linecolor\":\"white\",\"minorgridcolor\":\"white\",\"startlinecolor\":\"#2a3f5f\"},\"type\":\"carpet\"}],\"table\":[{\"cells\":{\"fill\":{\"color\":\"#EBF0F8\"},\"line\":{\"color\":\"white\"}},\"header\":{\"fill\":{\"color\":\"#C8D4E3\"},\"line\":{\"color\":\"white\"}},\"type\":\"table\"}],\"barpolar\":[{\"marker\":{\"line\":{\"color\":\"#E5ECF6\",\"width\":0.5},\"pattern\":{\"fillmode\":\"overlay\",\"size\":10,\"solidity\":0.2}},\"type\":\"barpolar\"}],\"pie\":[{\"automargin\":true,\"type\":\"pie\"}]},\"layout\":{\"autotypenumbers\":\"strict\",\"colorway\":[\"#636efa\",\"#EF553B\",\"#00cc96\",\"#ab63fa\",\"#FFA15A\",\"#19d3f3\",\"#FF6692\",\"#B6E880\",\"#FF97FF\",\"#FECB52\"],\"font\":{\"color\":\"#2a3f5f\"},\"hovermode\":\"closest\",\"hoverlabel\":{\"align\":\"left\"},\"paper_bgcolor\":\"white\",\"plot_bgcolor\":\"#E5ECF6\",\"polar\":{\"bgcolor\":\"#E5ECF6\",\"angularaxis\":{\"gridcolor\":\"white\",\"linecolor\":\"white\",\"ticks\":\"\"},\"radialaxis\":{\"gridcolor\":\"white\",\"linecolor\":\"white\",\"ticks\":\"\"}},\"ternary\":{\"bgcolor\":\"#E5ECF6\",\"aaxis\":{\"gridcolor\":\"white\",\"linecolor\":\"white\",\"ticks\":\"\"},\"baxis\":{\"gridcolor\":\"white\",\"linecolor\":\"white\",\"ticks\":\"\"},\"caxis\":{\"gridcolor\":\"white\",\"linecolor\":\"white\",\"ticks\":\"\"}},\"coloraxis\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"colorscale\":{\"sequential\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]],\"sequentialminus\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]],\"diverging\":[[0,\"#8e0152\"],[0.1,\"#c51b7d\"],[0.2,\"#de77ae\"],[0.3,\"#f1b6da\"],[0.4,\"#fde0ef\"],[0.5,\"#f7f7f7\"],[0.6,\"#e6f5d0\"],[0.7,\"#b8e186\"],[0.8,\"#7fbc41\"],[0.9,\"#4d9221\"],[1,\"#276419\"]]},\"xaxis\":{\"gridcolor\":\"white\",\"linecolor\":\"white\",\"ticks\":\"\",\"title\":{\"standoff\":15},\"zerolinecolor\":\"white\",\"automargin\":true,\"zerolinewidth\":2},\"yaxis\":{\"gridcolor\":\"white\",\"linecolor\":\"white\",\"ticks\":\"\",\"title\":{\"standoff\":15},\"zerolinecolor\":\"white\",\"automargin\":true,\"zerolinewidth\":2},\"scene\":{\"xaxis\":{\"backgroundcolor\":\"#E5ECF6\",\"gridcolor\":\"white\",\"linecolor\":\"white\",\"showbackground\":true,\"ticks\":\"\",\"zerolinecolor\":\"white\",\"gridwidth\":2},\"yaxis\":{\"backgroundcolor\":\"#E5ECF6\",\"gridcolor\":\"white\",\"linecolor\":\"white\",\"showbackground\":true,\"ticks\":\"\",\"zerolinecolor\":\"white\",\"gridwidth\":2},\"zaxis\":{\"backgroundcolor\":\"#E5ECF6\",\"gridcolor\":\"white\",\"linecolor\":\"white\",\"showbackground\":true,\"ticks\":\"\",\"zerolinecolor\":\"white\",\"gridwidth\":2}},\"shapedefaults\":{\"line\":{\"color\":\"#2a3f5f\"}},\"annotationdefaults\":{\"arrowcolor\":\"#2a3f5f\",\"arrowhead\":0,\"arrowwidth\":1},\"geo\":{\"bgcolor\":\"white\",\"landcolor\":\"#E5ECF6\",\"subunitcolor\":\"white\",\"showland\":true,\"showlakes\":true,\"lakecolor\":\"white\"},\"title\":{\"x\":0.05},\"mapbox\":{\"style\":\"light\"}}}},                        {\"responsive\": true}                    ).then(function(){\n",
       "                            \n",
       "var gd = document.getElementById('2ed1bf92-bc11-4ad2-9dde-103dcf5a5909');\n",
       "var x = new MutationObserver(function (mutations, observer) {{\n",
       "        var display = window.getComputedStyle(gd).display;\n",
       "        if (!display || display === 'none') {{\n",
       "            console.log([gd, 'removed!']);\n",
       "            Plotly.purge(gd);\n",
       "            observer.disconnect();\n",
       "        }}\n",
       "}});\n",
       "\n",
       "// Listen for the removal of the full notebook cells\n",
       "var notebookContainer = gd.closest('#notebook-container');\n",
       "if (notebookContainer) {{\n",
       "    x.observe(notebookContainer, {childList: true});\n",
       "}}\n",
       "\n",
       "// Listen for the clearing of the current output cell\n",
       "var outputEl = gd.closest('.output');\n",
       "if (outputEl) {{\n",
       "    x.observe(outputEl, {childList: true});\n",
       "}}\n",
       "\n",
       "                        })                };                });            </script>        </div>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plot_optimization_history(study_dask)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "122ab882-ca7e-470e-8cf2-0ea14bbd8625",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.plotly.v1+json": {
       "config": {
        "plotlyServerURL": "https://plot.ly"
       },
       "data": [
        {
         "dimensions": [
          {
           "label": "Objective Value",
           "range": [
            0.6274025772395591,
            0.6274025772395591
           ],
           "values": [
            0.6274025772395591,
            0.6274025772395591,
            0.6274025772395591,
            0.6274025772395591,
            0.6274025772395591
           ]
          },
          {
           "label": "alpha",
           "range": [
            -5.321911699250852,
            0.3924524469206523
           ],
           "ticktext": [
            "4.77e-06",
            "1e-05",
            "0.0001",
            "0.001",
            "0.01",
            "0.1",
            "1",
            "2.47"
           ],
           "tickvals": [
            -5.321911699250852,
            -5,
            -4,
            -3,
            -2,
            -1,
            0,
            0.3924524469206523
           ],
           "values": [
            -5.321911699250852,
            -0.9517553457727325,
            -0.9527711817748145,
            -1.9538954984635863,
            0.3924524469206523
           ]
          },
          {
           "label": "colsample_bytree",
           "range": [
            0.3357502505613844,
            0.8790244149224993
           ],
           "values": [
            0.8790244149224993,
            0.3858535065107327,
            0.3357502505613844,
            0.8454962957241452,
            0.659410160471894
           ]
          },
          {
           "label": "gamma",
           "range": [
            -7.219659625972804,
            -0.33178765152233125
           ],
           "ticktext": [
            "6.03e-08",
            "1e-07",
            "1e-06",
            "1e-05",
            "0.0001",
            "0.001",
            "0.01",
            "0.1",
            "0.466"
           ],
           "tickvals": [
            -7.219659625972804,
            -7,
            -6,
            -5,
            -4,
            -3,
            -2,
            -1,
            -0.33178765152233125
           ],
           "values": [
            -0.33178765152233125,
            -7.219659625972804,
            -6.337918058673687,
            -0.5072280857218893,
            -1.4878137636198394
           ]
          },
          {
           "label": "lambda",
           "range": [
            -6.440187783813463,
            1.8323368070905939
           ],
           "ticktext": [
            "3.63e-07",
            "1e-06",
            "1e-05",
            "0.0001",
            "0.001",
            "0.01",
            "0.1",
            "1",
            "10",
            "68"
           ],
           "tickvals": [
            -6.440187783813463,
            -6,
            -5,
            -4,
            -3,
            -2,
            -1,
            0,
            1,
            1.8323368070905939
           ],
           "values": [
            1.8323368070905939,
            1.5673376361391744,
            -6.440187783813463,
            -2.9321588277840798,
            -4.616517385057783
           ]
          },
          {
           "label": "learning_rate",
           "range": [
            -6.560194515637135,
            -2.2462871872234653
           ],
           "ticktext": [
            "2.75e-07",
            "1e-06",
            "1e-05",
            "0.0001",
            "0.001",
            "0.00567"
           ],
           "tickvals": [
            -6.560194515637135,
            -6,
            -5,
            -4,
            -3,
            -2.2462871872234653
           ],
           "values": [
            -6.560194515637135,
            -3.400776591687335,
            -2.2589208251464585,
            -2.2462871872234653,
            -6.506135273643375
           ]
          },
          {
           "label": "max_depth",
           "range": [
            2,
            9
           ],
           "values": [
            7,
            9,
            2,
            6,
            4
           ]
          },
          {
           "label": "min_child_weight",
           "range": [
            -6.462995932524878,
            0.8465962391986304
           ],
           "ticktext": [
            "3.44e-07",
            "1e-06",
            "1e-05",
            "0.0001",
            "0.001",
            "0.01",
            "0.1",
            "1",
            "7.02"
           ],
           "tickvals": [
            -6.462995932524878,
            -6,
            -5,
            -4,
            -3,
            -2,
            -1,
            0,
            0.8465962391986304
           ],
           "values": [
            -3.794717604896046,
            -6.462995932524878,
            0.8465962391986304,
            -6.451631206231242,
            0.7333390333883768
           ]
          }
         ],
         "labelangle": 30,
         "labelside": "bottom",
         "line": {
          "color": [
           0.6274025772395591,
           0.6274025772395591,
           0.6274025772395591,
           0.6274025772395591,
           0.6274025772395591
          ],
          "colorbar": {
           "title": {
            "text": "Objective Value"
           }
          },
          "colorscale": [
           [
            0,
            "rgb(247,251,255)"
           ],
           [
            0.125,
            "rgb(222,235,247)"
           ],
           [
            0.25,
            "rgb(198,219,239)"
           ],
           [
            0.375,
            "rgb(158,202,225)"
           ],
           [
            0.5,
            "rgb(107,174,214)"
           ],
           [
            0.625,
            "rgb(66,146,198)"
           ],
           [
            0.75,
            "rgb(33,113,181)"
           ],
           [
            0.875,
            "rgb(8,81,156)"
           ],
           [
            1,
            "rgb(8,48,107)"
           ]
          ],
          "reversescale": false,
          "showscale": true
         },
         "type": "parcoords"
        }
       ],
       "layout": {
        "autosize": true,
        "template": {
         "data": {
          "bar": [
           {
            "error_x": {
             "color": "#2a3f5f"
            },
            "error_y": {
             "color": "#2a3f5f"
            },
            "marker": {
             "line": {
              "color": "#E5ECF6",
              "width": 0.5
             },
             "pattern": {
              "fillmode": "overlay",
              "size": 10,
              "solidity": 0.2
             }
            },
            "type": "bar"
           }
          ],
          "barpolar": [
           {
            "marker": {
             "line": {
              "color": "#E5ECF6",
              "width": 0.5
             },
             "pattern": {
              "fillmode": "overlay",
              "size": 10,
              "solidity": 0.2
             }
            },
            "type": "barpolar"
           }
          ],
          "carpet": [
           {
            "aaxis": {
             "endlinecolor": "#2a3f5f",
             "gridcolor": "white",
             "linecolor": "white",
             "minorgridcolor": "white",
             "startlinecolor": "#2a3f5f"
            },
            "baxis": {
             "endlinecolor": "#2a3f5f",
             "gridcolor": "white",
             "linecolor": "white",
             "minorgridcolor": "white",
             "startlinecolor": "#2a3f5f"
            },
            "type": "carpet"
           }
          ],
          "choropleth": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "type": "choropleth"
           }
          ],
          "contour": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "colorscale": [
             [
              0,
              "#0d0887"
             ],
             [
              0.1111111111111111,
              "#46039f"
             ],
             [
              0.2222222222222222,
              "#7201a8"
             ],
             [
              0.3333333333333333,
              "#9c179e"
             ],
             [
              0.4444444444444444,
              "#bd3786"
             ],
             [
              0.5555555555555556,
              "#d8576b"
             ],
             [
              0.6666666666666666,
              "#ed7953"
             ],
             [
              0.7777777777777778,
              "#fb9f3a"
             ],
             [
              0.8888888888888888,
              "#fdca26"
             ],
             [
              1,
              "#f0f921"
             ]
            ],
            "type": "contour"
           }
          ],
          "contourcarpet": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "type": "contourcarpet"
           }
          ],
          "heatmap": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "colorscale": [
             [
              0,
              "#0d0887"
             ],
             [
              0.1111111111111111,
              "#46039f"
             ],
             [
              0.2222222222222222,
              "#7201a8"
             ],
             [
              0.3333333333333333,
              "#9c179e"
             ],
             [
              0.4444444444444444,
              "#bd3786"
             ],
             [
              0.5555555555555556,
              "#d8576b"
             ],
             [
              0.6666666666666666,
              "#ed7953"
             ],
             [
              0.7777777777777778,
              "#fb9f3a"
             ],
             [
              0.8888888888888888,
              "#fdca26"
             ],
             [
              1,
              "#f0f921"
             ]
            ],
            "type": "heatmap"
           }
          ],
          "heatmapgl": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "colorscale": [
             [
              0,
              "#0d0887"
             ],
             [
              0.1111111111111111,
              "#46039f"
             ],
             [
              0.2222222222222222,
              "#7201a8"
             ],
             [
              0.3333333333333333,
              "#9c179e"
             ],
             [
              0.4444444444444444,
              "#bd3786"
             ],
             [
              0.5555555555555556,
              "#d8576b"
             ],
             [
              0.6666666666666666,
              "#ed7953"
             ],
             [
              0.7777777777777778,
              "#fb9f3a"
             ],
             [
              0.8888888888888888,
              "#fdca26"
             ],
             [
              1,
              "#f0f921"
             ]
            ],
            "type": "heatmapgl"
           }
          ],
          "histogram": [
           {
            "marker": {
             "pattern": {
              "fillmode": "overlay",
              "size": 10,
              "solidity": 0.2
             }
            },
            "type": "histogram"
           }
          ],
          "histogram2d": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "colorscale": [
             [
              0,
              "#0d0887"
             ],
             [
              0.1111111111111111,
              "#46039f"
             ],
             [
              0.2222222222222222,
              "#7201a8"
             ],
             [
              0.3333333333333333,
              "#9c179e"
             ],
             [
              0.4444444444444444,
              "#bd3786"
             ],
             [
              0.5555555555555556,
              "#d8576b"
             ],
             [
              0.6666666666666666,
              "#ed7953"
             ],
             [
              0.7777777777777778,
              "#fb9f3a"
             ],
             [
              0.8888888888888888,
              "#fdca26"
             ],
             [
              1,
              "#f0f921"
             ]
            ],
            "type": "histogram2d"
           }
          ],
          "histogram2dcontour": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "colorscale": [
             [
              0,
              "#0d0887"
             ],
             [
              0.1111111111111111,
              "#46039f"
             ],
             [
              0.2222222222222222,
              "#7201a8"
             ],
             [
              0.3333333333333333,
              "#9c179e"
             ],
             [
              0.4444444444444444,
              "#bd3786"
             ],
             [
              0.5555555555555556,
              "#d8576b"
             ],
             [
              0.6666666666666666,
              "#ed7953"
             ],
             [
              0.7777777777777778,
              "#fb9f3a"
             ],
             [
              0.8888888888888888,
              "#fdca26"
             ],
             [
              1,
              "#f0f921"
             ]
            ],
            "type": "histogram2dcontour"
           }
          ],
          "mesh3d": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "type": "mesh3d"
           }
          ],
          "parcoords": [
           {
            "line": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "parcoords"
           }
          ],
          "pie": [
           {
            "automargin": true,
            "type": "pie"
           }
          ],
          "scatter": [
           {
            "fillpattern": {
             "fillmode": "overlay",
             "size": 10,
             "solidity": 0.2
            },
            "type": "scatter"
           }
          ],
          "scatter3d": [
           {
            "line": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scatter3d"
           }
          ],
          "scattercarpet": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scattercarpet"
           }
          ],
          "scattergeo": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scattergeo"
           }
          ],
          "scattergl": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scattergl"
           }
          ],
          "scattermapbox": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scattermapbox"
           }
          ],
          "scatterpolar": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scatterpolar"
           }
          ],
          "scatterpolargl": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scatterpolargl"
           }
          ],
          "scatterternary": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scatterternary"
           }
          ],
          "surface": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "colorscale": [
             [
              0,
              "#0d0887"
             ],
             [
              0.1111111111111111,
              "#46039f"
             ],
             [
              0.2222222222222222,
              "#7201a8"
             ],
             [
              0.3333333333333333,
              "#9c179e"
             ],
             [
              0.4444444444444444,
              "#bd3786"
             ],
             [
              0.5555555555555556,
              "#d8576b"
             ],
             [
              0.6666666666666666,
              "#ed7953"
             ],
             [
              0.7777777777777778,
              "#fb9f3a"
             ],
             [
              0.8888888888888888,
              "#fdca26"
             ],
             [
              1,
              "#f0f921"
             ]
            ],
            "type": "surface"
           }
          ],
          "table": [
           {
            "cells": {
             "fill": {
              "color": "#EBF0F8"
             },
             "line": {
              "color": "white"
             }
            },
            "header": {
             "fill": {
              "color": "#C8D4E3"
             },
             "line": {
              "color": "white"
             }
            },
            "type": "table"
           }
          ]
         },
         "layout": {
          "annotationdefaults": {
           "arrowcolor": "#2a3f5f",
           "arrowhead": 0,
           "arrowwidth": 1
          },
          "autotypenumbers": "strict",
          "coloraxis": {
           "colorbar": {
            "outlinewidth": 0,
            "ticks": ""
           }
          },
          "colorscale": {
           "diverging": [
            [
             0,
             "#8e0152"
            ],
            [
             0.1,
             "#c51b7d"
            ],
            [
             0.2,
             "#de77ae"
            ],
            [
             0.3,
             "#f1b6da"
            ],
            [
             0.4,
             "#fde0ef"
            ],
            [
             0.5,
             "#f7f7f7"
            ],
            [
             0.6,
             "#e6f5d0"
            ],
            [
             0.7,
             "#b8e186"
            ],
            [
             0.8,
             "#7fbc41"
            ],
            [
             0.9,
             "#4d9221"
            ],
            [
             1,
             "#276419"
            ]
           ],
           "sequential": [
            [
             0,
             "#0d0887"
            ],
            [
             0.1111111111111111,
             "#46039f"
            ],
            [
             0.2222222222222222,
             "#7201a8"
            ],
            [
             0.3333333333333333,
             "#9c179e"
            ],
            [
             0.4444444444444444,
             "#bd3786"
            ],
            [
             0.5555555555555556,
             "#d8576b"
            ],
            [
             0.6666666666666666,
             "#ed7953"
            ],
            [
             0.7777777777777778,
             "#fb9f3a"
            ],
            [
             0.8888888888888888,
             "#fdca26"
            ],
            [
             1,
             "#f0f921"
            ]
           ],
           "sequentialminus": [
            [
             0,
             "#0d0887"
            ],
            [
             0.1111111111111111,
             "#46039f"
            ],
            [
             0.2222222222222222,
             "#7201a8"
            ],
            [
             0.3333333333333333,
             "#9c179e"
            ],
            [
             0.4444444444444444,
             "#bd3786"
            ],
            [
             0.5555555555555556,
             "#d8576b"
            ],
            [
             0.6666666666666666,
             "#ed7953"
            ],
            [
             0.7777777777777778,
             "#fb9f3a"
            ],
            [
             0.8888888888888888,
             "#fdca26"
            ],
            [
             1,
             "#f0f921"
            ]
           ]
          },
          "colorway": [
           "#636efa",
           "#EF553B",
           "#00cc96",
           "#ab63fa",
           "#FFA15A",
           "#19d3f3",
           "#FF6692",
           "#B6E880",
           "#FF97FF",
           "#FECB52"
          ],
          "font": {
           "color": "#2a3f5f"
          },
          "geo": {
           "bgcolor": "white",
           "lakecolor": "white",
           "landcolor": "#E5ECF6",
           "showlakes": true,
           "showland": true,
           "subunitcolor": "white"
          },
          "hoverlabel": {
           "align": "left"
          },
          "hovermode": "closest",
          "mapbox": {
           "style": "light"
          },
          "paper_bgcolor": "white",
          "plot_bgcolor": "#E5ECF6",
          "polar": {
           "angularaxis": {
            "gridcolor": "white",
            "linecolor": "white",
            "ticks": ""
           },
           "bgcolor": "#E5ECF6",
           "radialaxis": {
            "gridcolor": "white",
            "linecolor": "white",
            "ticks": ""
           }
          },
          "scene": {
           "xaxis": {
            "backgroundcolor": "#E5ECF6",
            "gridcolor": "white",
            "gridwidth": 2,
            "linecolor": "white",
            "showbackground": true,
            "ticks": "",
            "zerolinecolor": "white"
           },
           "yaxis": {
            "backgroundcolor": "#E5ECF6",
            "gridcolor": "white",
            "gridwidth": 2,
            "linecolor": "white",
            "showbackground": true,
            "ticks": "",
            "zerolinecolor": "white"
           },
           "zaxis": {
            "backgroundcolor": "#E5ECF6",
            "gridcolor": "white",
            "gridwidth": 2,
            "linecolor": "white",
            "showbackground": true,
            "ticks": "",
            "zerolinecolor": "white"
           }
          },
          "shapedefaults": {
           "line": {
            "color": "#2a3f5f"
           }
          },
          "ternary": {
           "aaxis": {
            "gridcolor": "white",
            "linecolor": "white",
            "ticks": ""
           },
           "baxis": {
            "gridcolor": "white",
            "linecolor": "white",
            "ticks": ""
           },
           "bgcolor": "#E5ECF6",
           "caxis": {
            "gridcolor": "white",
            "linecolor": "white",
            "ticks": ""
           }
          },
          "title": {
           "x": 0.05
          },
          "xaxis": {
           "automargin": true,
           "gridcolor": "white",
           "linecolor": "white",
           "ticks": "",
           "title": {
            "standoff": 15
           },
           "zerolinecolor": "white",
           "zerolinewidth": 2
          },
          "yaxis": {
           "automargin": true,
           "gridcolor": "white",
           "linecolor": "white",
           "ticks": "",
           "title": {
            "standoff": 15
           },
           "zerolinecolor": "white",
           "zerolinewidth": 2
          }
         }
        },
        "title": {
         "text": "Parallel Coordinate Plot"
        }
       }
      },
      "image/png": "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",
      "text/html": [
       "<div>                            <div id=\"eb1b4ec3-8691-45ec-aeff-7f778406dfb9\" class=\"plotly-graph-div\" style=\"height:525px; width:100%;\"></div>            <script type=\"text/javascript\">                require([\"plotly\"], function(Plotly) {                    window.PLOTLYENV=window.PLOTLYENV || {};                                    if (document.getElementById(\"eb1b4ec3-8691-45ec-aeff-7f778406dfb9\")) {                    Plotly.newPlot(                        \"eb1b4ec3-8691-45ec-aeff-7f778406dfb9\",                        [{\"dimensions\":[{\"label\":\"Objective Value\",\"range\":[0.6274025772395591,0.6274025772395591],\"values\":[0.6274025772395591,0.6274025772395591,0.6274025772395591,0.6274025772395591,0.6274025772395591]},{\"label\":\"alpha\",\"range\":[-5.321911699250852,0.3924524469206523],\"ticktext\":[\"4.77e-06\",\"1e-05\",\"0.0001\",\"0.001\",\"0.01\",\"0.1\",\"1\",\"2.47\"],\"tickvals\":[-5.321911699250852,-5,-4,-3,-2,-1,0,0.3924524469206523],\"values\":[-5.321911699250852,-0.9517553457727325,-0.9527711817748145,-1.9538954984635863,0.3924524469206523]},{\"label\":\"colsample_bytree\",\"range\":[0.3357502505613844,0.8790244149224993],\"values\":[0.8790244149224993,0.3858535065107327,0.3357502505613844,0.8454962957241452,0.659410160471894]},{\"label\":\"gamma\",\"range\":[-7.219659625972804,-0.33178765152233125],\"ticktext\":[\"6.03e-08\",\"1e-07\",\"1e-06\",\"1e-05\",\"0.0001\",\"0.001\",\"0.01\",\"0.1\",\"0.466\"],\"tickvals\":[-7.219659625972804,-7,-6,-5,-4,-3,-2,-1,-0.33178765152233125],\"values\":[-0.33178765152233125,-7.219659625972804,-6.337918058673687,-0.5072280857218893,-1.4878137636198394]},{\"label\":\"lambda\",\"range\":[-6.440187783813463,1.8323368070905939],\"ticktext\":[\"3.63e-07\",\"1e-06\",\"1e-05\",\"0.0001\",\"0.001\",\"0.01\",\"0.1\",\"1\",\"10\",\"68\"],\"tickvals\":[-6.440187783813463,-6,-5,-4,-3,-2,-1,0,1,1.8323368070905939],\"values\":[1.8323368070905939,1.5673376361391744,-6.440187783813463,-2.9321588277840798,-4.616517385057783]},{\"label\":\"learning_rate\",\"range\":[-6.560194515637135,-2.2462871872234653],\"ticktext\":[\"2.75e-07\",\"1e-06\",\"1e-05\",\"0.0001\",\"0.001\",\"0.00567\"],\"tickvals\":[-6.560194515637135,-6,-5,-4,-3,-2.2462871872234653],\"values\":[-6.560194515637135,-3.400776591687335,-2.2589208251464585,-2.2462871872234653,-6.506135273643375]},{\"label\":\"max_depth\",\"range\":[2,9],\"values\":[7,9,2,6,4]},{\"label\":\"min_child_weight\",\"range\":[-6.462995932524878,0.8465962391986304],\"ticktext\":[\"3.44e-07\",\"1e-06\",\"1e-05\",\"0.0001\",\"0.001\",\"0.01\",\"0.1\",\"1\",\"7.02\"],\"tickvals\":[-6.462995932524878,-6,-5,-4,-3,-2,-1,0,0.8465962391986304],\"values\":[-3.794717604896046,-6.462995932524878,0.8465962391986304,-6.451631206231242,0.7333390333883768]}],\"labelangle\":30,\"labelside\":\"bottom\",\"line\":{\"color\":[0.6274025772395591,0.6274025772395591,0.6274025772395591,0.6274025772395591,0.6274025772395591],\"colorbar\":{\"title\":{\"text\":\"Objective Value\"}},\"colorscale\":[[0.0,\"rgb(247,251,255)\"],[0.125,\"rgb(222,235,247)\"],[0.25,\"rgb(198,219,239)\"],[0.375,\"rgb(158,202,225)\"],[0.5,\"rgb(107,174,214)\"],[0.625,\"rgb(66,146,198)\"],[0.75,\"rgb(33,113,181)\"],[0.875,\"rgb(8,81,156)\"],[1.0,\"rgb(8,48,107)\"]],\"reversescale\":false,\"showscale\":true},\"type\":\"parcoords\"}],                        {\"title\":{\"text\":\"Parallel Coordinate Plot\"},\"template\":{\"data\":{\"histogram2dcontour\":[{\"type\":\"histogram2dcontour\",\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"colorscale\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]]}],\"choropleth\":[{\"type\":\"choropleth\",\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}}],\"histogram2d\":[{\"type\":\"histogram2d\",\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"colorscale\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]]}],\"heatmap\":[{\"type\":\"heatmap\",\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"colorscale\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]]}],\"heatmapgl\":[{\"type\":\"heatmapgl\",\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"colorscale\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]]}],\"contourcarpet\":[{\"type\":\"contourcarpet\",\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}}],\"contour\":[{\"type\":\"contour\",\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"colorscale\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]]}],\"surface\":[{\"type\":\"surface\",\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"colorscale\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]]}],\"mesh3d\":[{\"type\":\"mesh3d\",\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}}],\"scatter\":[{\"fillpattern\":{\"fillmode\":\"overlay\",\"size\":10,\"solidity\":0.2},\"type\":\"scatter\"}],\"parcoords\":[{\"type\":\"parcoords\",\"line\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}}}],\"scatterpolargl\":[{\"type\":\"scatterpolargl\",\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}}}],\"bar\":[{\"error_x\":{\"color\":\"#2a3f5f\"},\"error_y\":{\"color\":\"#2a3f5f\"},\"marker\":{\"line\":{\"color\":\"#E5ECF6\",\"width\":0.5},\"pattern\":{\"fillmode\":\"overlay\",\"size\":10,\"solidity\":0.2}},\"type\":\"bar\"}],\"scattergeo\":[{\"type\":\"scattergeo\",\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}}}],\"scatterpolar\":[{\"type\":\"scatterpolar\",\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}}}],\"histogram\":[{\"marker\":{\"pattern\":{\"fillmode\":\"overlay\",\"size\":10,\"solidity\":0.2}},\"type\":\"histogram\"}],\"scattergl\":[{\"type\":\"scattergl\",\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}}}],\"scatter3d\":[{\"type\":\"scatter3d\",\"line\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}}}],\"scattermapbox\":[{\"type\":\"scattermapbox\",\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}}}],\"scatterternary\":[{\"type\":\"scatterternary\",\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}}}],\"scattercarpet\":[{\"type\":\"scattercarpet\",\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}}}],\"carpet\":[{\"aaxis\":{\"endlinecolor\":\"#2a3f5f\",\"gridcolor\":\"white\",\"linecolor\":\"white\",\"minorgridcolor\":\"white\",\"startlinecolor\":\"#2a3f5f\"},\"baxis\":{\"endlinecolor\":\"#2a3f5f\",\"gridcolor\":\"white\",\"linecolor\":\"white\",\"minorgridcolor\":\"white\",\"startlinecolor\":\"#2a3f5f\"},\"type\":\"carpet\"}],\"table\":[{\"cells\":{\"fill\":{\"color\":\"#EBF0F8\"},\"line\":{\"color\":\"white\"}},\"header\":{\"fill\":{\"color\":\"#C8D4E3\"},\"line\":{\"color\":\"white\"}},\"type\":\"table\"}],\"barpolar\":[{\"marker\":{\"line\":{\"color\":\"#E5ECF6\",\"width\":0.5},\"pattern\":{\"fillmode\":\"overlay\",\"size\":10,\"solidity\":0.2}},\"type\":\"barpolar\"}],\"pie\":[{\"automargin\":true,\"type\":\"pie\"}]},\"layout\":{\"autotypenumbers\":\"strict\",\"colorway\":[\"#636efa\",\"#EF553B\",\"#00cc96\",\"#ab63fa\",\"#FFA15A\",\"#19d3f3\",\"#FF6692\",\"#B6E880\",\"#FF97FF\",\"#FECB52\"],\"font\":{\"color\":\"#2a3f5f\"},\"hovermode\":\"closest\",\"hoverlabel\":{\"align\":\"left\"},\"paper_bgcolor\":\"white\",\"plot_bgcolor\":\"#E5ECF6\",\"polar\":{\"bgcolor\":\"#E5ECF6\",\"angularaxis\":{\"gridcolor\":\"white\",\"linecolor\":\"white\",\"ticks\":\"\"},\"radialaxis\":{\"gridcolor\":\"white\",\"linecolor\":\"white\",\"ticks\":\"\"}},\"ternary\":{\"bgcolor\":\"#E5ECF6\",\"aaxis\":{\"gridcolor\":\"white\",\"linecolor\":\"white\",\"ticks\":\"\"},\"baxis\":{\"gridcolor\":\"white\",\"linecolor\":\"white\",\"ticks\":\"\"},\"caxis\":{\"gridcolor\":\"white\",\"linecolor\":\"white\",\"ticks\":\"\"}},\"coloraxis\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"colorscale\":{\"sequential\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]],\"sequentialminus\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]],\"diverging\":[[0,\"#8e0152\"],[0.1,\"#c51b7d\"],[0.2,\"#de77ae\"],[0.3,\"#f1b6da\"],[0.4,\"#fde0ef\"],[0.5,\"#f7f7f7\"],[0.6,\"#e6f5d0\"],[0.7,\"#b8e186\"],[0.8,\"#7fbc41\"],[0.9,\"#4d9221\"],[1,\"#276419\"]]},\"xaxis\":{\"gridcolor\":\"white\",\"linecolor\":\"white\",\"ticks\":\"\",\"title\":{\"standoff\":15},\"zerolinecolor\":\"white\",\"automargin\":true,\"zerolinewidth\":2},\"yaxis\":{\"gridcolor\":\"white\",\"linecolor\":\"white\",\"ticks\":\"\",\"title\":{\"standoff\":15},\"zerolinecolor\":\"white\",\"automargin\":true,\"zerolinewidth\":2},\"scene\":{\"xaxis\":{\"backgroundcolor\":\"#E5ECF6\",\"gridcolor\":\"white\",\"linecolor\":\"white\",\"showbackground\":true,\"ticks\":\"\",\"zerolinecolor\":\"white\",\"gridwidth\":2},\"yaxis\":{\"backgroundcolor\":\"#E5ECF6\",\"gridcolor\":\"white\",\"linecolor\":\"white\",\"showbackground\":true,\"ticks\":\"\",\"zerolinecolor\":\"white\",\"gridwidth\":2},\"zaxis\":{\"backgroundcolor\":\"#E5ECF6\",\"gridcolor\":\"white\",\"linecolor\":\"white\",\"showbackground\":true,\"ticks\":\"\",\"zerolinecolor\":\"white\",\"gridwidth\":2}},\"shapedefaults\":{\"line\":{\"color\":\"#2a3f5f\"}},\"annotationdefaults\":{\"arrowcolor\":\"#2a3f5f\",\"arrowhead\":0,\"arrowwidth\":1},\"geo\":{\"bgcolor\":\"white\",\"landcolor\":\"#E5ECF6\",\"subunitcolor\":\"white\",\"showland\":true,\"showlakes\":true,\"lakecolor\":\"white\"},\"title\":{\"x\":0.05},\"mapbox\":{\"style\":\"light\"}}}},                        {\"responsive\": true}                    ).then(function(){\n",
       "                            \n",
       "var gd = document.getElementById('eb1b4ec3-8691-45ec-aeff-7f778406dfb9');\n",
       "var x = new MutationObserver(function (mutations, observer) {{\n",
       "        var display = window.getComputedStyle(gd).display;\n",
       "        if (!display || display === 'none') {{\n",
       "            console.log([gd, 'removed!']);\n",
       "            Plotly.purge(gd);\n",
       "            observer.disconnect();\n",
       "        }}\n",
       "}});\n",
       "\n",
       "// Listen for the removal of the full notebook cells\n",
       "var notebookContainer = gd.closest('#notebook-container');\n",
       "if (notebookContainer) {{\n",
       "    x.observe(notebookContainer, {childList: true});\n",
       "}}\n",
       "\n",
       "// Listen for the clearing of the current output cell\n",
       "var outputEl = gd.closest('.output');\n",
       "if (outputEl) {{\n",
       "    x.observe(outputEl, {childList: true});\n",
       "}}\n",
       "\n",
       "                        })                };                });            </script>        </div>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plot_parallel_coordinate(study)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "9d252e3f-dd5f-4a83-a855-7dff1430d27a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.plotly.v1+json": {
       "config": {
        "plotlyServerURL": "https://plot.ly"
       },
       "data": [
        {
         "dimensions": [
          {
           "label": "Objective Value",
           "range": [
            0.6274025772395591,
            0.9403043005744449
           ],
           "values": [
            0.9403043005744449,
            0.6274025772395591,
            0.6659990684676292,
            0.9350411426797081,
            0.6695078403974539
           ]
          },
          {
           "label": "alpha",
           "range": [
            -7.060842270681797,
            -1.4391887440504882
           ],
           "ticktext": [
            "8.69e-08",
            "1e-07",
            "1e-06",
            "1e-05",
            "0.0001",
            "0.001",
            "0.01",
            "0.0364"
           ],
           "tickvals": [
            -7.060842270681797,
            -7,
            -6,
            -5,
            -4,
            -3,
            -2,
            -1.4391887440504882
           ],
           "values": [
            -5.598866066173707,
            -3.5612339202037835,
            -1.4391887440504882,
            -2.1833073696231526,
            -7.060842270681797
           ]
          },
          {
           "label": "colsample_bytree",
           "range": [
            0.25493507646078784,
            0.9802715017740247
           ],
           "values": [
            0.7815029379038321,
            0.9802715017740247,
            0.5875315100758007,
            0.25493507646078784,
            0.3271720186673697
           ]
          },
          {
           "label": "gamma",
           "range": [
            -6.434343416452256,
            -0.547865088695888
           ],
           "ticktext": [
            "3.68e-07",
            "1e-06",
            "1e-05",
            "0.0001",
            "0.001",
            "0.01",
            "0.1",
            "0.283"
           ],
           "tickvals": [
            -6.434343416452256,
            -6,
            -5,
            -4,
            -3,
            -2,
            -1,
            -0.547865088695888
           ],
           "values": [
            -0.547865088695888,
            -3.3518239785083033,
            -2.3011796656157157,
            -3.793301088910714,
            -6.434343416452256
           ]
          },
          {
           "label": "lambda",
           "range": [
            -7.2653866058291205,
            -1.7472237322065636
           ],
           "ticktext": [
            "5.43e-08",
            "1e-07",
            "1e-06",
            "1e-05",
            "0.0001",
            "0.001",
            "0.01",
            "0.0179"
           ],
           "tickvals": [
            -7.2653866058291205,
            -7,
            -6,
            -5,
            -4,
            -3,
            -2,
            -1.7472237322065636
           ],
           "values": [
            -3.436218954747224,
            -1.9872175091559656,
            -6.570395448635756,
            -7.2653866058291205,
            -1.7472237322065636
           ]
          },
          {
           "label": "learning_rate",
           "range": [
            -2.517246273439315,
            -0.9627718749572309
           ],
           "ticktext": [
            "0.00304",
            "0.01",
            "0.1",
            "0.109"
           ],
           "tickvals": [
            -2.517246273439315,
            -2,
            -1,
            -0.9627718749572309
           ],
           "values": [
            -1.1263524888129859,
            -2.517246273439315,
            -1.6920675816060062,
            -0.9627718749572309,
            -1.697933957237971
           ]
          },
          {
           "label": "max_depth",
           "range": [
            4,
            10
           ],
           "values": [
            4,
            7,
            4,
            7,
            10
           ]
          },
          {
           "label": "min_child_weight",
           "range": [
            -4.526112447738952,
            0.9450953551790221
           ],
           "ticktext": [
            "2.98e-05",
            "0.0001",
            "0.001",
            "0.01",
            "0.1",
            "1",
            "8.81"
           ],
           "tickvals": [
            -4.526112447738952,
            -4,
            -3,
            -2,
            -1,
            0,
            0.9450953551790221
           ],
           "values": [
            -0.5921380059521119,
            -2.7274193460029346,
            -2.997531499505862,
            0.9450953551790221,
            -4.526112447738952
           ]
          }
         ],
         "labelangle": 30,
         "labelside": "bottom",
         "line": {
          "color": [
           0.9403043005744449,
           0.6274025772395591,
           0.6659990684676292,
           0.9350411426797081,
           0.6695078403974539
          ],
          "colorbar": {
           "title": {
            "text": "Objective Value"
           }
          },
          "colorscale": [
           [
            0,
            "rgb(247,251,255)"
           ],
           [
            0.125,
            "rgb(222,235,247)"
           ],
           [
            0.25,
            "rgb(198,219,239)"
           ],
           [
            0.375,
            "rgb(158,202,225)"
           ],
           [
            0.5,
            "rgb(107,174,214)"
           ],
           [
            0.625,
            "rgb(66,146,198)"
           ],
           [
            0.75,
            "rgb(33,113,181)"
           ],
           [
            0.875,
            "rgb(8,81,156)"
           ],
           [
            1,
            "rgb(8,48,107)"
           ]
          ],
          "reversescale": false,
          "showscale": true
         },
         "type": "parcoords"
        }
       ],
       "layout": {
        "autosize": true,
        "template": {
         "data": {
          "bar": [
           {
            "error_x": {
             "color": "#2a3f5f"
            },
            "error_y": {
             "color": "#2a3f5f"
            },
            "marker": {
             "line": {
              "color": "#E5ECF6",
              "width": 0.5
             },
             "pattern": {
              "fillmode": "overlay",
              "size": 10,
              "solidity": 0.2
             }
            },
            "type": "bar"
           }
          ],
          "barpolar": [
           {
            "marker": {
             "line": {
              "color": "#E5ECF6",
              "width": 0.5
             },
             "pattern": {
              "fillmode": "overlay",
              "size": 10,
              "solidity": 0.2
             }
            },
            "type": "barpolar"
           }
          ],
          "carpet": [
           {
            "aaxis": {
             "endlinecolor": "#2a3f5f",
             "gridcolor": "white",
             "linecolor": "white",
             "minorgridcolor": "white",
             "startlinecolor": "#2a3f5f"
            },
            "baxis": {
             "endlinecolor": "#2a3f5f",
             "gridcolor": "white",
             "linecolor": "white",
             "minorgridcolor": "white",
             "startlinecolor": "#2a3f5f"
            },
            "type": "carpet"
           }
          ],
          "choropleth": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "type": "choropleth"
           }
          ],
          "contour": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "colorscale": [
             [
              0,
              "#0d0887"
             ],
             [
              0.1111111111111111,
              "#46039f"
             ],
             [
              0.2222222222222222,
              "#7201a8"
             ],
             [
              0.3333333333333333,
              "#9c179e"
             ],
             [
              0.4444444444444444,
              "#bd3786"
             ],
             [
              0.5555555555555556,
              "#d8576b"
             ],
             [
              0.6666666666666666,
              "#ed7953"
             ],
             [
              0.7777777777777778,
              "#fb9f3a"
             ],
             [
              0.8888888888888888,
              "#fdca26"
             ],
             [
              1,
              "#f0f921"
             ]
            ],
            "type": "contour"
           }
          ],
          "contourcarpet": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "type": "contourcarpet"
           }
          ],
          "heatmap": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "colorscale": [
             [
              0,
              "#0d0887"
             ],
             [
              0.1111111111111111,
              "#46039f"
             ],
             [
              0.2222222222222222,
              "#7201a8"
             ],
             [
              0.3333333333333333,
              "#9c179e"
             ],
             [
              0.4444444444444444,
              "#bd3786"
             ],
             [
              0.5555555555555556,
              "#d8576b"
             ],
             [
              0.6666666666666666,
              "#ed7953"
             ],
             [
              0.7777777777777778,
              "#fb9f3a"
             ],
             [
              0.8888888888888888,
              "#fdca26"
             ],
             [
              1,
              "#f0f921"
             ]
            ],
            "type": "heatmap"
           }
          ],
          "heatmapgl": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "colorscale": [
             [
              0,
              "#0d0887"
             ],
             [
              0.1111111111111111,
              "#46039f"
             ],
             [
              0.2222222222222222,
              "#7201a8"
             ],
             [
              0.3333333333333333,
              "#9c179e"
             ],
             [
              0.4444444444444444,
              "#bd3786"
             ],
             [
              0.5555555555555556,
              "#d8576b"
             ],
             [
              0.6666666666666666,
              "#ed7953"
             ],
             [
              0.7777777777777778,
              "#fb9f3a"
             ],
             [
              0.8888888888888888,
              "#fdca26"
             ],
             [
              1,
              "#f0f921"
             ]
            ],
            "type": "heatmapgl"
           }
          ],
          "histogram": [
           {
            "marker": {
             "pattern": {
              "fillmode": "overlay",
              "size": 10,
              "solidity": 0.2
             }
            },
            "type": "histogram"
           }
          ],
          "histogram2d": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "colorscale": [
             [
              0,
              "#0d0887"
             ],
             [
              0.1111111111111111,
              "#46039f"
             ],
             [
              0.2222222222222222,
              "#7201a8"
             ],
             [
              0.3333333333333333,
              "#9c179e"
             ],
             [
              0.4444444444444444,
              "#bd3786"
             ],
             [
              0.5555555555555556,
              "#d8576b"
             ],
             [
              0.6666666666666666,
              "#ed7953"
             ],
             [
              0.7777777777777778,
              "#fb9f3a"
             ],
             [
              0.8888888888888888,
              "#fdca26"
             ],
             [
              1,
              "#f0f921"
             ]
            ],
            "type": "histogram2d"
           }
          ],
          "histogram2dcontour": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "colorscale": [
             [
              0,
              "#0d0887"
             ],
             [
              0.1111111111111111,
              "#46039f"
             ],
             [
              0.2222222222222222,
              "#7201a8"
             ],
             [
              0.3333333333333333,
              "#9c179e"
             ],
             [
              0.4444444444444444,
              "#bd3786"
             ],
             [
              0.5555555555555556,
              "#d8576b"
             ],
             [
              0.6666666666666666,
              "#ed7953"
             ],
             [
              0.7777777777777778,
              "#fb9f3a"
             ],
             [
              0.8888888888888888,
              "#fdca26"
             ],
             [
              1,
              "#f0f921"
             ]
            ],
            "type": "histogram2dcontour"
           }
          ],
          "mesh3d": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "type": "mesh3d"
           }
          ],
          "parcoords": [
           {
            "line": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "parcoords"
           }
          ],
          "pie": [
           {
            "automargin": true,
            "type": "pie"
           }
          ],
          "scatter": [
           {
            "fillpattern": {
             "fillmode": "overlay",
             "size": 10,
             "solidity": 0.2
            },
            "type": "scatter"
           }
          ],
          "scatter3d": [
           {
            "line": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scatter3d"
           }
          ],
          "scattercarpet": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scattercarpet"
           }
          ],
          "scattergeo": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scattergeo"
           }
          ],
          "scattergl": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scattergl"
           }
          ],
          "scattermapbox": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scattermapbox"
           }
          ],
          "scatterpolar": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scatterpolar"
           }
          ],
          "scatterpolargl": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scatterpolargl"
           }
          ],
          "scatterternary": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scatterternary"
           }
          ],
          "surface": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "colorscale": [
             [
              0,
              "#0d0887"
             ],
             [
              0.1111111111111111,
              "#46039f"
             ],
             [
              0.2222222222222222,
              "#7201a8"
             ],
             [
              0.3333333333333333,
              "#9c179e"
             ],
             [
              0.4444444444444444,
              "#bd3786"
             ],
             [
              0.5555555555555556,
              "#d8576b"
             ],
             [
              0.6666666666666666,
              "#ed7953"
             ],
             [
              0.7777777777777778,
              "#fb9f3a"
             ],
             [
              0.8888888888888888,
              "#fdca26"
             ],
             [
              1,
              "#f0f921"
             ]
            ],
            "type": "surface"
           }
          ],
          "table": [
           {
            "cells": {
             "fill": {
              "color": "#EBF0F8"
             },
             "line": {
              "color": "white"
             }
            },
            "header": {
             "fill": {
              "color": "#C8D4E3"
             },
             "line": {
              "color": "white"
             }
            },
            "type": "table"
           }
          ]
         },
         "layout": {
          "annotationdefaults": {
           "arrowcolor": "#2a3f5f",
           "arrowhead": 0,
           "arrowwidth": 1
          },
          "autotypenumbers": "strict",
          "coloraxis": {
           "colorbar": {
            "outlinewidth": 0,
            "ticks": ""
           }
          },
          "colorscale": {
           "diverging": [
            [
             0,
             "#8e0152"
            ],
            [
             0.1,
             "#c51b7d"
            ],
            [
             0.2,
             "#de77ae"
            ],
            [
             0.3,
             "#f1b6da"
            ],
            [
             0.4,
             "#fde0ef"
            ],
            [
             0.5,
             "#f7f7f7"
            ],
            [
             0.6,
             "#e6f5d0"
            ],
            [
             0.7,
             "#b8e186"
            ],
            [
             0.8,
             "#7fbc41"
            ],
            [
             0.9,
             "#4d9221"
            ],
            [
             1,
             "#276419"
            ]
           ],
           "sequential": [
            [
             0,
             "#0d0887"
            ],
            [
             0.1111111111111111,
             "#46039f"
            ],
            [
             0.2222222222222222,
             "#7201a8"
            ],
            [
             0.3333333333333333,
             "#9c179e"
            ],
            [
             0.4444444444444444,
             "#bd3786"
            ],
            [
             0.5555555555555556,
             "#d8576b"
            ],
            [
             0.6666666666666666,
             "#ed7953"
            ],
            [
             0.7777777777777778,
             "#fb9f3a"
            ],
            [
             0.8888888888888888,
             "#fdca26"
            ],
            [
             1,
             "#f0f921"
            ]
           ],
           "sequentialminus": [
            [
             0,
             "#0d0887"
            ],
            [
             0.1111111111111111,
             "#46039f"
            ],
            [
             0.2222222222222222,
             "#7201a8"
            ],
            [
             0.3333333333333333,
             "#9c179e"
            ],
            [
             0.4444444444444444,
             "#bd3786"
            ],
            [
             0.5555555555555556,
             "#d8576b"
            ],
            [
             0.6666666666666666,
             "#ed7953"
            ],
            [
             0.7777777777777778,
             "#fb9f3a"
            ],
            [
             0.8888888888888888,
             "#fdca26"
            ],
            [
             1,
             "#f0f921"
            ]
           ]
          },
          "colorway": [
           "#636efa",
           "#EF553B",
           "#00cc96",
           "#ab63fa",
           "#FFA15A",
           "#19d3f3",
           "#FF6692",
           "#B6E880",
           "#FF97FF",
           "#FECB52"
          ],
          "font": {
           "color": "#2a3f5f"
          },
          "geo": {
           "bgcolor": "white",
           "lakecolor": "white",
           "landcolor": "#E5ECF6",
           "showlakes": true,
           "showland": true,
           "subunitcolor": "white"
          },
          "hoverlabel": {
           "align": "left"
          },
          "hovermode": "closest",
          "mapbox": {
           "style": "light"
          },
          "paper_bgcolor": "white",
          "plot_bgcolor": "#E5ECF6",
          "polar": {
           "angularaxis": {
            "gridcolor": "white",
            "linecolor": "white",
            "ticks": ""
           },
           "bgcolor": "#E5ECF6",
           "radialaxis": {
            "gridcolor": "white",
            "linecolor": "white",
            "ticks": ""
           }
          },
          "scene": {
           "xaxis": {
            "backgroundcolor": "#E5ECF6",
            "gridcolor": "white",
            "gridwidth": 2,
            "linecolor": "white",
            "showbackground": true,
            "ticks": "",
            "zerolinecolor": "white"
           },
           "yaxis": {
            "backgroundcolor": "#E5ECF6",
            "gridcolor": "white",
            "gridwidth": 2,
            "linecolor": "white",
            "showbackground": true,
            "ticks": "",
            "zerolinecolor": "white"
           },
           "zaxis": {
            "backgroundcolor": "#E5ECF6",
            "gridcolor": "white",
            "gridwidth": 2,
            "linecolor": "white",
            "showbackground": true,
            "ticks": "",
            "zerolinecolor": "white"
           }
          },
          "shapedefaults": {
           "line": {
            "color": "#2a3f5f"
           }
          },
          "ternary": {
           "aaxis": {
            "gridcolor": "white",
            "linecolor": "white",
            "ticks": ""
           },
           "baxis": {
            "gridcolor": "white",
            "linecolor": "white",
            "ticks": ""
           },
           "bgcolor": "#E5ECF6",
           "caxis": {
            "gridcolor": "white",
            "linecolor": "white",
            "ticks": ""
           }
          },
          "title": {
           "x": 0.05
          },
          "xaxis": {
           "automargin": true,
           "gridcolor": "white",
           "linecolor": "white",
           "ticks": "",
           "title": {
            "standoff": 15
           },
           "zerolinecolor": "white",
           "zerolinewidth": 2
          },
          "yaxis": {
           "automargin": true,
           "gridcolor": "white",
           "linecolor": "white",
           "ticks": "",
           "title": {
            "standoff": 15
           },
           "zerolinecolor": "white",
           "zerolinewidth": 2
          }
         }
        },
        "title": {
         "text": "Parallel Coordinate Plot"
        }
       }
      },
      "image/png": "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",
      "text/html": [
       "<div>                            <div id=\"56c4a3de-f7e9-4a2b-a44a-18584cb07ca2\" class=\"plotly-graph-div\" style=\"height:525px; width:100%;\"></div>            <script type=\"text/javascript\">                require([\"plotly\"], function(Plotly) {                    window.PLOTLYENV=window.PLOTLYENV || {};                                    if (document.getElementById(\"56c4a3de-f7e9-4a2b-a44a-18584cb07ca2\")) {                    Plotly.newPlot(                        \"56c4a3de-f7e9-4a2b-a44a-18584cb07ca2\",                        [{\"dimensions\":[{\"label\":\"Objective Value\",\"range\":[0.6274025772395591,0.9403043005744449],\"values\":[0.9403043005744449,0.6274025772395591,0.6659990684676292,0.9350411426797081,0.6695078403974539]},{\"label\":\"alpha\",\"range\":[-7.060842270681797,-1.4391887440504882],\"ticktext\":[\"8.69e-08\",\"1e-07\",\"1e-06\",\"1e-05\",\"0.0001\",\"0.001\",\"0.01\",\"0.0364\"],\"tickvals\":[-7.060842270681797,-7,-6,-5,-4,-3,-2,-1.4391887440504882],\"values\":[-5.598866066173707,-3.5612339202037835,-1.4391887440504882,-2.1833073696231526,-7.060842270681797]},{\"label\":\"colsample_bytree\",\"range\":[0.25493507646078784,0.9802715017740247],\"values\":[0.7815029379038321,0.9802715017740247,0.5875315100758007,0.25493507646078784,0.3271720186673697]},{\"label\":\"gamma\",\"range\":[-6.434343416452256,-0.547865088695888],\"ticktext\":[\"3.68e-07\",\"1e-06\",\"1e-05\",\"0.0001\",\"0.001\",\"0.01\",\"0.1\",\"0.283\"],\"tickvals\":[-6.434343416452256,-6,-5,-4,-3,-2,-1,-0.547865088695888],\"values\":[-0.547865088695888,-3.3518239785083033,-2.3011796656157157,-3.793301088910714,-6.434343416452256]},{\"label\":\"lambda\",\"range\":[-7.2653866058291205,-1.7472237322065636],\"ticktext\":[\"5.43e-08\",\"1e-07\",\"1e-06\",\"1e-05\",\"0.0001\",\"0.001\",\"0.01\",\"0.0179\"],\"tickvals\":[-7.2653866058291205,-7,-6,-5,-4,-3,-2,-1.7472237322065636],\"values\":[-3.436218954747224,-1.9872175091559656,-6.570395448635756,-7.2653866058291205,-1.7472237322065636]},{\"label\":\"learning_rate\",\"range\":[-2.517246273439315,-0.9627718749572309],\"ticktext\":[\"0.00304\",\"0.01\",\"0.1\",\"0.109\"],\"tickvals\":[-2.517246273439315,-2,-1,-0.9627718749572309],\"values\":[-1.1263524888129859,-2.517246273439315,-1.6920675816060062,-0.9627718749572309,-1.697933957237971]},{\"label\":\"max_depth\",\"range\":[4,10],\"values\":[4,7,4,7,10]},{\"label\":\"min_child_weight\",\"range\":[-4.526112447738952,0.9450953551790221],\"ticktext\":[\"2.98e-05\",\"0.0001\",\"0.001\",\"0.01\",\"0.1\",\"1\",\"8.81\"],\"tickvals\":[-4.526112447738952,-4,-3,-2,-1,0,0.9450953551790221],\"values\":[-0.5921380059521119,-2.7274193460029346,-2.997531499505862,0.9450953551790221,-4.526112447738952]}],\"labelangle\":30,\"labelside\":\"bottom\",\"line\":{\"color\":[0.9403043005744449,0.6274025772395591,0.6659990684676292,0.9350411426797081,0.6695078403974539],\"colorbar\":{\"title\":{\"text\":\"Objective Value\"}},\"colorscale\":[[0.0,\"rgb(247,251,255)\"],[0.125,\"rgb(222,235,247)\"],[0.25,\"rgb(198,219,239)\"],[0.375,\"rgb(158,202,225)\"],[0.5,\"rgb(107,174,214)\"],[0.625,\"rgb(66,146,198)\"],[0.75,\"rgb(33,113,181)\"],[0.875,\"rgb(8,81,156)\"],[1.0,\"rgb(8,48,107)\"]],\"reversescale\":false,\"showscale\":true},\"type\":\"parcoords\"}],                        {\"title\":{\"text\":\"Parallel Coordinate Plot\"},\"template\":{\"data\":{\"histogram2dcontour\":[{\"type\":\"histogram2dcontour\",\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"colorscale\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]]}],\"choropleth\":[{\"type\":\"choropleth\",\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}}],\"histogram2d\":[{\"type\":\"histogram2d\",\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"colorscale\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]]}],\"heatmap\":[{\"type\":\"heatmap\",\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"colorscale\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]]}],\"heatmapgl\":[{\"type\":\"heatmapgl\",\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"colorscale\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]]}],\"contourcarpet\":[{\"type\":\"contourcarpet\",\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}}],\"contour\":[{\"type\":\"contour\",\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"colorscale\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]]}],\"surface\":[{\"type\":\"surface\",\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"colorscale\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]]}],\"mesh3d\":[{\"type\":\"mesh3d\",\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}}],\"scatter\":[{\"fillpattern\":{\"fillmode\":\"overlay\",\"size\":10,\"solidity\":0.2},\"type\":\"scatter\"}],\"parcoords\":[{\"type\":\"parcoords\",\"line\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}}}],\"scatterpolargl\":[{\"type\":\"scatterpolargl\",\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}}}],\"bar\":[{\"error_x\":{\"color\":\"#2a3f5f\"},\"error_y\":{\"color\":\"#2a3f5f\"},\"marker\":{\"line\":{\"color\":\"#E5ECF6\",\"width\":0.5},\"pattern\":{\"fillmode\":\"overlay\",\"size\":10,\"solidity\":0.2}},\"type\":\"bar\"}],\"scattergeo\":[{\"type\":\"scattergeo\",\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}}}],\"scatterpolar\":[{\"type\":\"scatterpolar\",\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}}}],\"histogram\":[{\"marker\":{\"pattern\":{\"fillmode\":\"overlay\",\"size\":10,\"solidity\":0.2}},\"type\":\"histogram\"}],\"scattergl\":[{\"type\":\"scattergl\",\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}}}],\"scatter3d\":[{\"type\":\"scatter3d\",\"line\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}}}],\"scattermapbox\":[{\"type\":\"scattermapbox\",\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}}}],\"scatterternary\":[{\"type\":\"scatterternary\",\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}}}],\"scattercarpet\":[{\"type\":\"scattercarpet\",\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}}}],\"carpet\":[{\"aaxis\":{\"endlinecolor\":\"#2a3f5f\",\"gridcolor\":\"white\",\"linecolor\":\"white\",\"minorgridcolor\":\"white\",\"startlinecolor\":\"#2a3f5f\"},\"baxis\":{\"endlinecolor\":\"#2a3f5f\",\"gridcolor\":\"white\",\"linecolor\":\"white\",\"minorgridcolor\":\"white\",\"startlinecolor\":\"#2a3f5f\"},\"type\":\"carpet\"}],\"table\":[{\"cells\":{\"fill\":{\"color\":\"#EBF0F8\"},\"line\":{\"color\":\"white\"}},\"header\":{\"fill\":{\"color\":\"#C8D4E3\"},\"line\":{\"color\":\"white\"}},\"type\":\"table\"}],\"barpolar\":[{\"marker\":{\"line\":{\"color\":\"#E5ECF6\",\"width\":0.5},\"pattern\":{\"fillmode\":\"overlay\",\"size\":10,\"solidity\":0.2}},\"type\":\"barpolar\"}],\"pie\":[{\"automargin\":true,\"type\":\"pie\"}]},\"layout\":{\"autotypenumbers\":\"strict\",\"colorway\":[\"#636efa\",\"#EF553B\",\"#00cc96\",\"#ab63fa\",\"#FFA15A\",\"#19d3f3\",\"#FF6692\",\"#B6E880\",\"#FF97FF\",\"#FECB52\"],\"font\":{\"color\":\"#2a3f5f\"},\"hovermode\":\"closest\",\"hoverlabel\":{\"align\":\"left\"},\"paper_bgcolor\":\"white\",\"plot_bgcolor\":\"#E5ECF6\",\"polar\":{\"bgcolor\":\"#E5ECF6\",\"angularaxis\":{\"gridcolor\":\"white\",\"linecolor\":\"white\",\"ticks\":\"\"},\"radialaxis\":{\"gridcolor\":\"white\",\"linecolor\":\"white\",\"ticks\":\"\"}},\"ternary\":{\"bgcolor\":\"#E5ECF6\",\"aaxis\":{\"gridcolor\":\"white\",\"linecolor\":\"white\",\"ticks\":\"\"},\"baxis\":{\"gridcolor\":\"white\",\"linecolor\":\"white\",\"ticks\":\"\"},\"caxis\":{\"gridcolor\":\"white\",\"linecolor\":\"white\",\"ticks\":\"\"}},\"coloraxis\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"colorscale\":{\"sequential\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]],\"sequentialminus\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]],\"diverging\":[[0,\"#8e0152\"],[0.1,\"#c51b7d\"],[0.2,\"#de77ae\"],[0.3,\"#f1b6da\"],[0.4,\"#fde0ef\"],[0.5,\"#f7f7f7\"],[0.6,\"#e6f5d0\"],[0.7,\"#b8e186\"],[0.8,\"#7fbc41\"],[0.9,\"#4d9221\"],[1,\"#276419\"]]},\"xaxis\":{\"gridcolor\":\"white\",\"linecolor\":\"white\",\"ticks\":\"\",\"title\":{\"standoff\":15},\"zerolinecolor\":\"white\",\"automargin\":true,\"zerolinewidth\":2},\"yaxis\":{\"gridcolor\":\"white\",\"linecolor\":\"white\",\"ticks\":\"\",\"title\":{\"standoff\":15},\"zerolinecolor\":\"white\",\"automargin\":true,\"zerolinewidth\":2},\"scene\":{\"xaxis\":{\"backgroundcolor\":\"#E5ECF6\",\"gridcolor\":\"white\",\"linecolor\":\"white\",\"showbackground\":true,\"ticks\":\"\",\"zerolinecolor\":\"white\",\"gridwidth\":2},\"yaxis\":{\"backgroundcolor\":\"#E5ECF6\",\"gridcolor\":\"white\",\"linecolor\":\"white\",\"showbackground\":true,\"ticks\":\"\",\"zerolinecolor\":\"white\",\"gridwidth\":2},\"zaxis\":{\"backgroundcolor\":\"#E5ECF6\",\"gridcolor\":\"white\",\"linecolor\":\"white\",\"showbackground\":true,\"ticks\":\"\",\"zerolinecolor\":\"white\",\"gridwidth\":2}},\"shapedefaults\":{\"line\":{\"color\":\"#2a3f5f\"}},\"annotationdefaults\":{\"arrowcolor\":\"#2a3f5f\",\"arrowhead\":0,\"arrowwidth\":1},\"geo\":{\"bgcolor\":\"white\",\"landcolor\":\"#E5ECF6\",\"subunitcolor\":\"white\",\"showland\":true,\"showlakes\":true,\"lakecolor\":\"white\"},\"title\":{\"x\":0.05},\"mapbox\":{\"style\":\"light\"}}}},                        {\"responsive\": true}                    ).then(function(){\n",
       "                            \n",
       "var gd = document.getElementById('56c4a3de-f7e9-4a2b-a44a-18584cb07ca2');\n",
       "var x = new MutationObserver(function (mutations, observer) {{\n",
       "        var display = window.getComputedStyle(gd).display;\n",
       "        if (!display || display === 'none') {{\n",
       "            console.log([gd, 'removed!']);\n",
       "            Plotly.purge(gd);\n",
       "            observer.disconnect();\n",
       "        }}\n",
       "}});\n",
       "\n",
       "// Listen for the removal of the full notebook cells\n",
       "var notebookContainer = gd.closest('#notebook-container');\n",
       "if (notebookContainer) {{\n",
       "    x.observe(notebookContainer, {childList: true});\n",
       "}}\n",
       "\n",
       "// Listen for the clearing of the current output cell\n",
       "var outputEl = gd.closest('.output');\n",
       "if (outputEl) {{\n",
       "    x.observe(outputEl, {childList: true});\n",
       "}}\n",
       "\n",
       "                        })                };                });            </script>        </div>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plot_parallel_coordinate(study_dask)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "04f66734-e1db-4643-bc67-51d8c1fbc970",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.plotly.v1+json": {
       "config": {
        "plotlyServerURL": "https://plot.ly"
       },
       "data": [
        {
         "cliponaxis": false,
         "hovertemplate": [
          "alpha (FloatDistribution): 0.02913075072114306<extra></extra>",
          "lambda (FloatDistribution): 0.04700037829942116<extra></extra>",
          "gamma (FloatDistribution): 0.06340142181003088<extra></extra>",
          "max_depth (IntDistribution): 0.12510863558244345<extra></extra>",
          "learning_rate (FloatDistribution): 0.2185900268586432<extra></extra>",
          "colsample_bytree (FloatDistribution): 0.22168145332929795<extra></extra>",
          "min_child_weight (FloatDistribution): 0.2950873333990204<extra></extra>"
         ],
         "name": "Objective Value",
         "orientation": "h",
         "text": [
          "0.03",
          "0.05",
          "0.06",
          "0.13",
          "0.22",
          "0.22",
          "0.30"
         ],
         "textposition": "outside",
         "type": "bar",
         "x": [
          0.02913075072114306,
          0.04700037829942116,
          0.06340142181003088,
          0.12510863558244345,
          0.2185900268586432,
          0.22168145332929795,
          0.2950873333990204
         ],
         "y": [
          "alpha",
          "lambda",
          "gamma",
          "max_depth",
          "learning_rate",
          "colsample_bytree",
          "min_child_weight"
         ]
        }
       ],
       "layout": {
        "autosize": true,
        "template": {
         "data": {
          "bar": [
           {
            "error_x": {
             "color": "#2a3f5f"
            },
            "error_y": {
             "color": "#2a3f5f"
            },
            "marker": {
             "line": {
              "color": "#E5ECF6",
              "width": 0.5
             },
             "pattern": {
              "fillmode": "overlay",
              "size": 10,
              "solidity": 0.2
             }
            },
            "type": "bar"
           }
          ],
          "barpolar": [
           {
            "marker": {
             "line": {
              "color": "#E5ECF6",
              "width": 0.5
             },
             "pattern": {
              "fillmode": "overlay",
              "size": 10,
              "solidity": 0.2
             }
            },
            "type": "barpolar"
           }
          ],
          "carpet": [
           {
            "aaxis": {
             "endlinecolor": "#2a3f5f",
             "gridcolor": "white",
             "linecolor": "white",
             "minorgridcolor": "white",
             "startlinecolor": "#2a3f5f"
            },
            "baxis": {
             "endlinecolor": "#2a3f5f",
             "gridcolor": "white",
             "linecolor": "white",
             "minorgridcolor": "white",
             "startlinecolor": "#2a3f5f"
            },
            "type": "carpet"
           }
          ],
          "choropleth": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "type": "choropleth"
           }
          ],
          "contour": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "colorscale": [
             [
              0,
              "#0d0887"
             ],
             [
              0.1111111111111111,
              "#46039f"
             ],
             [
              0.2222222222222222,
              "#7201a8"
             ],
             [
              0.3333333333333333,
              "#9c179e"
             ],
             [
              0.4444444444444444,
              "#bd3786"
             ],
             [
              0.5555555555555556,
              "#d8576b"
             ],
             [
              0.6666666666666666,
              "#ed7953"
             ],
             [
              0.7777777777777778,
              "#fb9f3a"
             ],
             [
              0.8888888888888888,
              "#fdca26"
             ],
             [
              1,
              "#f0f921"
             ]
            ],
            "type": "contour"
           }
          ],
          "contourcarpet": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "type": "contourcarpet"
           }
          ],
          "heatmap": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "colorscale": [
             [
              0,
              "#0d0887"
             ],
             [
              0.1111111111111111,
              "#46039f"
             ],
             [
              0.2222222222222222,
              "#7201a8"
             ],
             [
              0.3333333333333333,
              "#9c179e"
             ],
             [
              0.4444444444444444,
              "#bd3786"
             ],
             [
              0.5555555555555556,
              "#d8576b"
             ],
             [
              0.6666666666666666,
              "#ed7953"
             ],
             [
              0.7777777777777778,
              "#fb9f3a"
             ],
             [
              0.8888888888888888,
              "#fdca26"
             ],
             [
              1,
              "#f0f921"
             ]
            ],
            "type": "heatmap"
           }
          ],
          "heatmapgl": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "colorscale": [
             [
              0,
              "#0d0887"
             ],
             [
              0.1111111111111111,
              "#46039f"
             ],
             [
              0.2222222222222222,
              "#7201a8"
             ],
             [
              0.3333333333333333,
              "#9c179e"
             ],
             [
              0.4444444444444444,
              "#bd3786"
             ],
             [
              0.5555555555555556,
              "#d8576b"
             ],
             [
              0.6666666666666666,
              "#ed7953"
             ],
             [
              0.7777777777777778,
              "#fb9f3a"
             ],
             [
              0.8888888888888888,
              "#fdca26"
             ],
             [
              1,
              "#f0f921"
             ]
            ],
            "type": "heatmapgl"
           }
          ],
          "histogram": [
           {
            "marker": {
             "pattern": {
              "fillmode": "overlay",
              "size": 10,
              "solidity": 0.2
             }
            },
            "type": "histogram"
           }
          ],
          "histogram2d": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "colorscale": [
             [
              0,
              "#0d0887"
             ],
             [
              0.1111111111111111,
              "#46039f"
             ],
             [
              0.2222222222222222,
              "#7201a8"
             ],
             [
              0.3333333333333333,
              "#9c179e"
             ],
             [
              0.4444444444444444,
              "#bd3786"
             ],
             [
              0.5555555555555556,
              "#d8576b"
             ],
             [
              0.6666666666666666,
              "#ed7953"
             ],
             [
              0.7777777777777778,
              "#fb9f3a"
             ],
             [
              0.8888888888888888,
              "#fdca26"
             ],
             [
              1,
              "#f0f921"
             ]
            ],
            "type": "histogram2d"
           }
          ],
          "histogram2dcontour": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "colorscale": [
             [
              0,
              "#0d0887"
             ],
             [
              0.1111111111111111,
              "#46039f"
             ],
             [
              0.2222222222222222,
              "#7201a8"
             ],
             [
              0.3333333333333333,
              "#9c179e"
             ],
             [
              0.4444444444444444,
              "#bd3786"
             ],
             [
              0.5555555555555556,
              "#d8576b"
             ],
             [
              0.6666666666666666,
              "#ed7953"
             ],
             [
              0.7777777777777778,
              "#fb9f3a"
             ],
             [
              0.8888888888888888,
              "#fdca26"
             ],
             [
              1,
              "#f0f921"
             ]
            ],
            "type": "histogram2dcontour"
           }
          ],
          "mesh3d": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "type": "mesh3d"
           }
          ],
          "parcoords": [
           {
            "line": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "parcoords"
           }
          ],
          "pie": [
           {
            "automargin": true,
            "type": "pie"
           }
          ],
          "scatter": [
           {
            "fillpattern": {
             "fillmode": "overlay",
             "size": 10,
             "solidity": 0.2
            },
            "type": "scatter"
           }
          ],
          "scatter3d": [
           {
            "line": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scatter3d"
           }
          ],
          "scattercarpet": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scattercarpet"
           }
          ],
          "scattergeo": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scattergeo"
           }
          ],
          "scattergl": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scattergl"
           }
          ],
          "scattermapbox": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scattermapbox"
           }
          ],
          "scatterpolar": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scatterpolar"
           }
          ],
          "scatterpolargl": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scatterpolargl"
           }
          ],
          "scatterternary": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scatterternary"
           }
          ],
          "surface": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "colorscale": [
             [
              0,
              "#0d0887"
             ],
             [
              0.1111111111111111,
              "#46039f"
             ],
             [
              0.2222222222222222,
              "#7201a8"
             ],
             [
              0.3333333333333333,
              "#9c179e"
             ],
             [
              0.4444444444444444,
              "#bd3786"
             ],
             [
              0.5555555555555556,
              "#d8576b"
             ],
             [
              0.6666666666666666,
              "#ed7953"
             ],
             [
              0.7777777777777778,
              "#fb9f3a"
             ],
             [
              0.8888888888888888,
              "#fdca26"
             ],
             [
              1,
              "#f0f921"
             ]
            ],
            "type": "surface"
           }
          ],
          "table": [
           {
            "cells": {
             "fill": {
              "color": "#EBF0F8"
             },
             "line": {
              "color": "white"
             }
            },
            "header": {
             "fill": {
              "color": "#C8D4E3"
             },
             "line": {
              "color": "white"
             }
            },
            "type": "table"
           }
          ]
         },
         "layout": {
          "annotationdefaults": {
           "arrowcolor": "#2a3f5f",
           "arrowhead": 0,
           "arrowwidth": 1
          },
          "autotypenumbers": "strict",
          "coloraxis": {
           "colorbar": {
            "outlinewidth": 0,
            "ticks": ""
           }
          },
          "colorscale": {
           "diverging": [
            [
             0,
             "#8e0152"
            ],
            [
             0.1,
             "#c51b7d"
            ],
            [
             0.2,
             "#de77ae"
            ],
            [
             0.3,
             "#f1b6da"
            ],
            [
             0.4,
             "#fde0ef"
            ],
            [
             0.5,
             "#f7f7f7"
            ],
            [
             0.6,
             "#e6f5d0"
            ],
            [
             0.7,
             "#b8e186"
            ],
            [
             0.8,
             "#7fbc41"
            ],
            [
             0.9,
             "#4d9221"
            ],
            [
             1,
             "#276419"
            ]
           ],
           "sequential": [
            [
             0,
             "#0d0887"
            ],
            [
             0.1111111111111111,
             "#46039f"
            ],
            [
             0.2222222222222222,
             "#7201a8"
            ],
            [
             0.3333333333333333,
             "#9c179e"
            ],
            [
             0.4444444444444444,
             "#bd3786"
            ],
            [
             0.5555555555555556,
             "#d8576b"
            ],
            [
             0.6666666666666666,
             "#ed7953"
            ],
            [
             0.7777777777777778,
             "#fb9f3a"
            ],
            [
             0.8888888888888888,
             "#fdca26"
            ],
            [
             1,
             "#f0f921"
            ]
           ],
           "sequentialminus": [
            [
             0,
             "#0d0887"
            ],
            [
             0.1111111111111111,
             "#46039f"
            ],
            [
             0.2222222222222222,
             "#7201a8"
            ],
            [
             0.3333333333333333,
             "#9c179e"
            ],
            [
             0.4444444444444444,
             "#bd3786"
            ],
            [
             0.5555555555555556,
             "#d8576b"
            ],
            [
             0.6666666666666666,
             "#ed7953"
            ],
            [
             0.7777777777777778,
             "#fb9f3a"
            ],
            [
             0.8888888888888888,
             "#fdca26"
            ],
            [
             1,
             "#f0f921"
            ]
           ]
          },
          "colorway": [
           "#636efa",
           "#EF553B",
           "#00cc96",
           "#ab63fa",
           "#FFA15A",
           "#19d3f3",
           "#FF6692",
           "#B6E880",
           "#FF97FF",
           "#FECB52"
          ],
          "font": {
           "color": "#2a3f5f"
          },
          "geo": {
           "bgcolor": "white",
           "lakecolor": "white",
           "landcolor": "#E5ECF6",
           "showlakes": true,
           "showland": true,
           "subunitcolor": "white"
          },
          "hoverlabel": {
           "align": "left"
          },
          "hovermode": "closest",
          "mapbox": {
           "style": "light"
          },
          "paper_bgcolor": "white",
          "plot_bgcolor": "#E5ECF6",
          "polar": {
           "angularaxis": {
            "gridcolor": "white",
            "linecolor": "white",
            "ticks": ""
           },
           "bgcolor": "#E5ECF6",
           "radialaxis": {
            "gridcolor": "white",
            "linecolor": "white",
            "ticks": ""
           }
          },
          "scene": {
           "xaxis": {
            "backgroundcolor": "#E5ECF6",
            "gridcolor": "white",
            "gridwidth": 2,
            "linecolor": "white",
            "showbackground": true,
            "ticks": "",
            "zerolinecolor": "white"
           },
           "yaxis": {
            "backgroundcolor": "#E5ECF6",
            "gridcolor": "white",
            "gridwidth": 2,
            "linecolor": "white",
            "showbackground": true,
            "ticks": "",
            "zerolinecolor": "white"
           },
           "zaxis": {
            "backgroundcolor": "#E5ECF6",
            "gridcolor": "white",
            "gridwidth": 2,
            "linecolor": "white",
            "showbackground": true,
            "ticks": "",
            "zerolinecolor": "white"
           }
          },
          "shapedefaults": {
           "line": {
            "color": "#2a3f5f"
           }
          },
          "ternary": {
           "aaxis": {
            "gridcolor": "white",
            "linecolor": "white",
            "ticks": ""
           },
           "baxis": {
            "gridcolor": "white",
            "linecolor": "white",
            "ticks": ""
           },
           "bgcolor": "#E5ECF6",
           "caxis": {
            "gridcolor": "white",
            "linecolor": "white",
            "ticks": ""
           }
          },
          "title": {
           "x": 0.05
          },
          "xaxis": {
           "automargin": true,
           "gridcolor": "white",
           "linecolor": "white",
           "ticks": "",
           "title": {
            "standoff": 15
           },
           "zerolinecolor": "white",
           "zerolinewidth": 2
          },
          "yaxis": {
           "automargin": true,
           "gridcolor": "white",
           "linecolor": "white",
           "ticks": "",
           "title": {
            "standoff": 15
           },
           "zerolinecolor": "white",
           "zerolinewidth": 2
          }
         }
        },
        "title": {
         "text": "Hyperparameter Importances"
        },
        "xaxis": {
         "autorange": true,
         "range": [
          0,
          0.31061824568317936
         ],
         "title": {
          "text": "Hyperparameter Importance"
         },
         "type": "linear"
        },
        "yaxis": {
         "autorange": true,
         "range": [
          -0.5,
          6.5
         ],
         "title": {
          "text": "Hyperparameter"
         },
         "type": "category"
        }
       }
      },
      "image/png": "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",
      "text/html": [
       "<div>                            <div id=\"c1b79a00-d3fe-4e7f-aa66-7f791282c12d\" class=\"plotly-graph-div\" style=\"height:525px; width:100%;\"></div>            <script type=\"text/javascript\">                require([\"plotly\"], function(Plotly) {                    window.PLOTLYENV=window.PLOTLYENV || {};                                    if (document.getElementById(\"c1b79a00-d3fe-4e7f-aa66-7f791282c12d\")) {                    Plotly.newPlot(                        \"c1b79a00-d3fe-4e7f-aa66-7f791282c12d\",                        [{\"cliponaxis\":false,\"hovertemplate\":[\"alpha (FloatDistribution): 0.02913075072114306\\u003cextra\\u003e\\u003c\\u002fextra\\u003e\",\"lambda (FloatDistribution): 0.04700037829942116\\u003cextra\\u003e\\u003c\\u002fextra\\u003e\",\"gamma (FloatDistribution): 0.06340142181003088\\u003cextra\\u003e\\u003c\\u002fextra\\u003e\",\"max_depth (IntDistribution): 0.12510863558244345\\u003cextra\\u003e\\u003c\\u002fextra\\u003e\",\"learning_rate (FloatDistribution): 0.2185900268586432\\u003cextra\\u003e\\u003c\\u002fextra\\u003e\",\"colsample_bytree (FloatDistribution): 0.22168145332929795\\u003cextra\\u003e\\u003c\\u002fextra\\u003e\",\"min_child_weight (FloatDistribution): 0.2950873333990204\\u003cextra\\u003e\\u003c\\u002fextra\\u003e\"],\"name\":\"Objective Value\",\"orientation\":\"h\",\"text\":[\"0.03\",\"0.05\",\"0.06\",\"0.13\",\"0.22\",\"0.22\",\"0.30\"],\"textposition\":\"outside\",\"x\":[0.02913075072114306,0.04700037829942116,0.06340142181003088,0.12510863558244345,0.2185900268586432,0.22168145332929795,0.2950873333990204],\"y\":[\"alpha\",\"lambda\",\"gamma\",\"max_depth\",\"learning_rate\",\"colsample_bytree\",\"min_child_weight\"],\"type\":\"bar\"}],                        {\"title\":{\"text\":\"Hyperparameter Importances\"},\"xaxis\":{\"title\":{\"text\":\"Hyperparameter Importance\"}},\"yaxis\":{\"title\":{\"text\":\"Hyperparameter\"}},\"template\":{\"data\":{\"histogram2dcontour\":[{\"type\":\"histogram2dcontour\",\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"colorscale\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]]}],\"choropleth\":[{\"type\":\"choropleth\",\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}}],\"histogram2d\":[{\"type\":\"histogram2d\",\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"colorscale\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]]}],\"heatmap\":[{\"type\":\"heatmap\",\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"colorscale\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]]}],\"heatmapgl\":[{\"type\":\"heatmapgl\",\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"colorscale\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]]}],\"contourcarpet\":[{\"type\":\"contourcarpet\",\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}}],\"contour\":[{\"type\":\"contour\",\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"colorscale\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]]}],\"surface\":[{\"type\":\"surface\",\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"colorscale\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]]}],\"mesh3d\":[{\"type\":\"mesh3d\",\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}}],\"scatter\":[{\"fillpattern\":{\"fillmode\":\"overlay\",\"size\":10,\"solidity\":0.2},\"type\":\"scatter\"}],\"parcoords\":[{\"type\":\"parcoords\",\"line\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}}}],\"scatterpolargl\":[{\"type\":\"scatterpolargl\",\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}}}],\"bar\":[{\"error_x\":{\"color\":\"#2a3f5f\"},\"error_y\":{\"color\":\"#2a3f5f\"},\"marker\":{\"line\":{\"color\":\"#E5ECF6\",\"width\":0.5},\"pattern\":{\"fillmode\":\"overlay\",\"size\":10,\"solidity\":0.2}},\"type\":\"bar\"}],\"scattergeo\":[{\"type\":\"scattergeo\",\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}}}],\"scatterpolar\":[{\"type\":\"scatterpolar\",\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}}}],\"histogram\":[{\"marker\":{\"pattern\":{\"fillmode\":\"overlay\",\"size\":10,\"solidity\":0.2}},\"type\":\"histogram\"}],\"scattergl\":[{\"type\":\"scattergl\",\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}}}],\"scatter3d\":[{\"type\":\"scatter3d\",\"line\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}}}],\"scattermapbox\":[{\"type\":\"scattermapbox\",\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}}}],\"scatterternary\":[{\"type\":\"scatterternary\",\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}}}],\"scattercarpet\":[{\"type\":\"scattercarpet\",\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}}}],\"carpet\":[{\"aaxis\":{\"endlinecolor\":\"#2a3f5f\",\"gridcolor\":\"white\",\"linecolor\":\"white\",\"minorgridcolor\":\"white\",\"startlinecolor\":\"#2a3f5f\"},\"baxis\":{\"endlinecolor\":\"#2a3f5f\",\"gridcolor\":\"white\",\"linecolor\":\"white\",\"minorgridcolor\":\"white\",\"startlinecolor\":\"#2a3f5f\"},\"type\":\"carpet\"}],\"table\":[{\"cells\":{\"fill\":{\"color\":\"#EBF0F8\"},\"line\":{\"color\":\"white\"}},\"header\":{\"fill\":{\"color\":\"#C8D4E3\"},\"line\":{\"color\":\"white\"}},\"type\":\"table\"}],\"barpolar\":[{\"marker\":{\"line\":{\"color\":\"#E5ECF6\",\"width\":0.5},\"pattern\":{\"fillmode\":\"overlay\",\"size\":10,\"solidity\":0.2}},\"type\":\"barpolar\"}],\"pie\":[{\"automargin\":true,\"type\":\"pie\"}]},\"layout\":{\"autotypenumbers\":\"strict\",\"colorway\":[\"#636efa\",\"#EF553B\",\"#00cc96\",\"#ab63fa\",\"#FFA15A\",\"#19d3f3\",\"#FF6692\",\"#B6E880\",\"#FF97FF\",\"#FECB52\"],\"font\":{\"color\":\"#2a3f5f\"},\"hovermode\":\"closest\",\"hoverlabel\":{\"align\":\"left\"},\"paper_bgcolor\":\"white\",\"plot_bgcolor\":\"#E5ECF6\",\"polar\":{\"bgcolor\":\"#E5ECF6\",\"angularaxis\":{\"gridcolor\":\"white\",\"linecolor\":\"white\",\"ticks\":\"\"},\"radialaxis\":{\"gridcolor\":\"white\",\"linecolor\":\"white\",\"ticks\":\"\"}},\"ternary\":{\"bgcolor\":\"#E5ECF6\",\"aaxis\":{\"gridcolor\":\"white\",\"linecolor\":\"white\",\"ticks\":\"\"},\"baxis\":{\"gridcolor\":\"white\",\"linecolor\":\"white\",\"ticks\":\"\"},\"caxis\":{\"gridcolor\":\"white\",\"linecolor\":\"white\",\"ticks\":\"\"}},\"coloraxis\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"colorscale\":{\"sequential\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]],\"sequentialminus\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]],\"diverging\":[[0,\"#8e0152\"],[0.1,\"#c51b7d\"],[0.2,\"#de77ae\"],[0.3,\"#f1b6da\"],[0.4,\"#fde0ef\"],[0.5,\"#f7f7f7\"],[0.6,\"#e6f5d0\"],[0.7,\"#b8e186\"],[0.8,\"#7fbc41\"],[0.9,\"#4d9221\"],[1,\"#276419\"]]},\"xaxis\":{\"gridcolor\":\"white\",\"linecolor\":\"white\",\"ticks\":\"\",\"title\":{\"standoff\":15},\"zerolinecolor\":\"white\",\"automargin\":true,\"zerolinewidth\":2},\"yaxis\":{\"gridcolor\":\"white\",\"linecolor\":\"white\",\"ticks\":\"\",\"title\":{\"standoff\":15},\"zerolinecolor\":\"white\",\"automargin\":true,\"zerolinewidth\":2},\"scene\":{\"xaxis\":{\"backgroundcolor\":\"#E5ECF6\",\"gridcolor\":\"white\",\"linecolor\":\"white\",\"showbackground\":true,\"ticks\":\"\",\"zerolinecolor\":\"white\",\"gridwidth\":2},\"yaxis\":{\"backgroundcolor\":\"#E5ECF6\",\"gridcolor\":\"white\",\"linecolor\":\"white\",\"showbackground\":true,\"ticks\":\"\",\"zerolinecolor\":\"white\",\"gridwidth\":2},\"zaxis\":{\"backgroundcolor\":\"#E5ECF6\",\"gridcolor\":\"white\",\"linecolor\":\"white\",\"showbackground\":true,\"ticks\":\"\",\"zerolinecolor\":\"white\",\"gridwidth\":2}},\"shapedefaults\":{\"line\":{\"color\":\"#2a3f5f\"}},\"annotationdefaults\":{\"arrowcolor\":\"#2a3f5f\",\"arrowhead\":0,\"arrowwidth\":1},\"geo\":{\"bgcolor\":\"white\",\"landcolor\":\"#E5ECF6\",\"subunitcolor\":\"white\",\"showland\":true,\"showlakes\":true,\"lakecolor\":\"white\"},\"title\":{\"x\":0.05},\"mapbox\":{\"style\":\"light\"}}}},                        {\"responsive\": true}                    ).then(function(){\n",
       "                            \n",
       "var gd = document.getElementById('c1b79a00-d3fe-4e7f-aa66-7f791282c12d');\n",
       "var x = new MutationObserver(function (mutations, observer) {{\n",
       "        var display = window.getComputedStyle(gd).display;\n",
       "        if (!display || display === 'none') {{\n",
       "            console.log([gd, 'removed!']);\n",
       "            Plotly.purge(gd);\n",
       "            observer.disconnect();\n",
       "        }}\n",
       "}});\n",
       "\n",
       "// Listen for the removal of the full notebook cells\n",
       "var notebookContainer = gd.closest('#notebook-container');\n",
       "if (notebookContainer) {{\n",
       "    x.observe(notebookContainer, {childList: true});\n",
       "}}\n",
       "\n",
       "// Listen for the clearing of the current output cell\n",
       "var outputEl = gd.closest('.output');\n",
       "if (outputEl) {{\n",
       "    x.observe(outputEl, {childList: true});\n",
       "}}\n",
       "\n",
       "                        })                };                });            </script>        </div>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plot_param_importances(study_dask)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "a7d4299c-30f2-45b3-8572-471de739a2f3",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.plotly.v1+json": {
       "config": {
        "plotlyServerURL": "https://plot.ly"
       },
       "data": [
        {
         "base": [
          "2024-04-19T22:38:00.694568",
          "2024-04-19T22:38:01.565765",
          "2024-04-19T22:38:02.251842",
          "2024-04-19T22:38:02.745188",
          "2024-04-19T22:38:03.715313"
         ],
         "hovertemplate": "%{text}<extra>COMPLETE</extra>",
         "marker": {
          "color": "blue"
         },
         "name": "COMPLETE",
         "orientation": "h",
         "text": [
          "{<br>  \"number\": 0,<br>  \"values\": [<br>    0.6274025772395591<br>  ],<br>  \"params\": {<br>    \"lambda\": 67.97305776669221,<br>    \"alpha\": 4.765278645965258e-06,<br>    \"colsample_bytree\": 0.8790244149224993,<br>    \"max_depth\": 7,<br>    \"min_child_weight\": 0.0001604288221987487,<br>    \"learning_rate\": 2.7529953913455527e-07,<br>    \"gamma\": 0.4658137977113674<br>  }<br>}",
          "{<br>  \"number\": 1,<br>  \"values\": [<br>    0.6274025772395591<br>  ],<br>  \"params\": {<br>    \"lambda\": 36.92645665518304,<br>    \"alpha\": 0.11174925956201374,<br>    \"colsample_bytree\": 0.3858535065107327,<br>    \"max_depth\": 9,<br>    \"min_child_weight\": 3.443531558591988e-07,<br>    \"learning_rate\": 0.00039739592397820107,<br>    \"gamma\": 6.030320213304569e-08<br>  }<br>}",
          "{<br>  \"number\": 2,<br>  \"values\": [<br>    0.6274025772395591<br>  ],<br>  \"params\": {<br>    \"lambda\": 3.6292109803562603e-07,<br>    \"alpha\": 0.11148817804682892,<br>    \"colsample_bytree\": 0.3357502505613844,<br>    \"max_depth\": 2,<br>    \"min_child_weight\": 7.024189817952136,<br>    \"learning_rate\": 0.00550908121568427,<br>    \"gamma\": 4.5928466105761136e-07<br>  }<br>}",
          "{<br>  \"number\": 3,<br>  \"values\": [<br>    0.6274025772395591<br>  ],<br>  \"params\": {<br>    \"lambda\": 0.0011690717663479322,<br>    \"alpha\": 0.011119992684479961,<br>    \"colsample_bytree\": 0.8454962957241452,<br>    \"max_depth\": 6,<br>    \"min_child_weight\": 3.5348321291215614e-07,<br>    \"learning_rate\": 0.005671694275347173,<br>    \"gamma\": 0.31100825338763516<br>  }<br>}",
          "{<br>  \"number\": 4,<br>  \"values\": [<br>    0.6274025772395591<br>  ],<br>  \"params\": {<br>    \"lambda\": 2.418146536196891e-05,<br>    \"alpha\": 2.46860978964976,<br>    \"colsample_bytree\": 0.659410160471894,<br>    \"max_depth\": 4,<br>    \"min_child_weight\": 5.411766293683066,<br>    \"learning_rate\": 3.1179182665325576e-07,<br>    \"gamma\": 0.03252267328769665<br>  }<br>}"
         ],
         "textposition": "none",
         "type": "bar",
         "x": [
          866.1959999999999,
          684.075,
          490.344,
          945.0809999999999,
          291.26
         ],
         "y": [
          0,
          1,
          2,
          3,
          4
         ]
        }
       ],
       "layout": {
        "autosize": true,
        "showlegend": true,
        "template": {
         "data": {
          "bar": [
           {
            "error_x": {
             "color": "#2a3f5f"
            },
            "error_y": {
             "color": "#2a3f5f"
            },
            "marker": {
             "line": {
              "color": "#E5ECF6",
              "width": 0.5
             },
             "pattern": {
              "fillmode": "overlay",
              "size": 10,
              "solidity": 0.2
             }
            },
            "type": "bar"
           }
          ],
          "barpolar": [
           {
            "marker": {
             "line": {
              "color": "#E5ECF6",
              "width": 0.5
             },
             "pattern": {
              "fillmode": "overlay",
              "size": 10,
              "solidity": 0.2
             }
            },
            "type": "barpolar"
           }
          ],
          "carpet": [
           {
            "aaxis": {
             "endlinecolor": "#2a3f5f",
             "gridcolor": "white",
             "linecolor": "white",
             "minorgridcolor": "white",
             "startlinecolor": "#2a3f5f"
            },
            "baxis": {
             "endlinecolor": "#2a3f5f",
             "gridcolor": "white",
             "linecolor": "white",
             "minorgridcolor": "white",
             "startlinecolor": "#2a3f5f"
            },
            "type": "carpet"
           }
          ],
          "choropleth": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "type": "choropleth"
           }
          ],
          "contour": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "colorscale": [
             [
              0,
              "#0d0887"
             ],
             [
              0.1111111111111111,
              "#46039f"
             ],
             [
              0.2222222222222222,
              "#7201a8"
             ],
             [
              0.3333333333333333,
              "#9c179e"
             ],
             [
              0.4444444444444444,
              "#bd3786"
             ],
             [
              0.5555555555555556,
              "#d8576b"
             ],
             [
              0.6666666666666666,
              "#ed7953"
             ],
             [
              0.7777777777777778,
              "#fb9f3a"
             ],
             [
              0.8888888888888888,
              "#fdca26"
             ],
             [
              1,
              "#f0f921"
             ]
            ],
            "type": "contour"
           }
          ],
          "contourcarpet": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "type": "contourcarpet"
           }
          ],
          "heatmap": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "colorscale": [
             [
              0,
              "#0d0887"
             ],
             [
              0.1111111111111111,
              "#46039f"
             ],
             [
              0.2222222222222222,
              "#7201a8"
             ],
             [
              0.3333333333333333,
              "#9c179e"
             ],
             [
              0.4444444444444444,
              "#bd3786"
             ],
             [
              0.5555555555555556,
              "#d8576b"
             ],
             [
              0.6666666666666666,
              "#ed7953"
             ],
             [
              0.7777777777777778,
              "#fb9f3a"
             ],
             [
              0.8888888888888888,
              "#fdca26"
             ],
             [
              1,
              "#f0f921"
             ]
            ],
            "type": "heatmap"
           }
          ],
          "heatmapgl": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "colorscale": [
             [
              0,
              "#0d0887"
             ],
             [
              0.1111111111111111,
              "#46039f"
             ],
             [
              0.2222222222222222,
              "#7201a8"
             ],
             [
              0.3333333333333333,
              "#9c179e"
             ],
             [
              0.4444444444444444,
              "#bd3786"
             ],
             [
              0.5555555555555556,
              "#d8576b"
             ],
             [
              0.6666666666666666,
              "#ed7953"
             ],
             [
              0.7777777777777778,
              "#fb9f3a"
             ],
             [
              0.8888888888888888,
              "#fdca26"
             ],
             [
              1,
              "#f0f921"
             ]
            ],
            "type": "heatmapgl"
           }
          ],
          "histogram": [
           {
            "marker": {
             "pattern": {
              "fillmode": "overlay",
              "size": 10,
              "solidity": 0.2
             }
            },
            "type": "histogram"
           }
          ],
          "histogram2d": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "colorscale": [
             [
              0,
              "#0d0887"
             ],
             [
              0.1111111111111111,
              "#46039f"
             ],
             [
              0.2222222222222222,
              "#7201a8"
             ],
             [
              0.3333333333333333,
              "#9c179e"
             ],
             [
              0.4444444444444444,
              "#bd3786"
             ],
             [
              0.5555555555555556,
              "#d8576b"
             ],
             [
              0.6666666666666666,
              "#ed7953"
             ],
             [
              0.7777777777777778,
              "#fb9f3a"
             ],
             [
              0.8888888888888888,
              "#fdca26"
             ],
             [
              1,
              "#f0f921"
             ]
            ],
            "type": "histogram2d"
           }
          ],
          "histogram2dcontour": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "colorscale": [
             [
              0,
              "#0d0887"
             ],
             [
              0.1111111111111111,
              "#46039f"
             ],
             [
              0.2222222222222222,
              "#7201a8"
             ],
             [
              0.3333333333333333,
              "#9c179e"
             ],
             [
              0.4444444444444444,
              "#bd3786"
             ],
             [
              0.5555555555555556,
              "#d8576b"
             ],
             [
              0.6666666666666666,
              "#ed7953"
             ],
             [
              0.7777777777777778,
              "#fb9f3a"
             ],
             [
              0.8888888888888888,
              "#fdca26"
             ],
             [
              1,
              "#f0f921"
             ]
            ],
            "type": "histogram2dcontour"
           }
          ],
          "mesh3d": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "type": "mesh3d"
           }
          ],
          "parcoords": [
           {
            "line": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "parcoords"
           }
          ],
          "pie": [
           {
            "automargin": true,
            "type": "pie"
           }
          ],
          "scatter": [
           {
            "fillpattern": {
             "fillmode": "overlay",
             "size": 10,
             "solidity": 0.2
            },
            "type": "scatter"
           }
          ],
          "scatter3d": [
           {
            "line": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scatter3d"
           }
          ],
          "scattercarpet": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scattercarpet"
           }
          ],
          "scattergeo": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scattergeo"
           }
          ],
          "scattergl": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scattergl"
           }
          ],
          "scattermapbox": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scattermapbox"
           }
          ],
          "scatterpolar": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scatterpolar"
           }
          ],
          "scatterpolargl": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scatterpolargl"
           }
          ],
          "scatterternary": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scatterternary"
           }
          ],
          "surface": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "colorscale": [
             [
              0,
              "#0d0887"
             ],
             [
              0.1111111111111111,
              "#46039f"
             ],
             [
              0.2222222222222222,
              "#7201a8"
             ],
             [
              0.3333333333333333,
              "#9c179e"
             ],
             [
              0.4444444444444444,
              "#bd3786"
             ],
             [
              0.5555555555555556,
              "#d8576b"
             ],
             [
              0.6666666666666666,
              "#ed7953"
             ],
             [
              0.7777777777777778,
              "#fb9f3a"
             ],
             [
              0.8888888888888888,
              "#fdca26"
             ],
             [
              1,
              "#f0f921"
             ]
            ],
            "type": "surface"
           }
          ],
          "table": [
           {
            "cells": {
             "fill": {
              "color": "#EBF0F8"
             },
             "line": {
              "color": "white"
             }
            },
            "header": {
             "fill": {
              "color": "#C8D4E3"
             },
             "line": {
              "color": "white"
             }
            },
            "type": "table"
           }
          ]
         },
         "layout": {
          "annotationdefaults": {
           "arrowcolor": "#2a3f5f",
           "arrowhead": 0,
           "arrowwidth": 1
          },
          "autotypenumbers": "strict",
          "coloraxis": {
           "colorbar": {
            "outlinewidth": 0,
            "ticks": ""
           }
          },
          "colorscale": {
           "diverging": [
            [
             0,
             "#8e0152"
            ],
            [
             0.1,
             "#c51b7d"
            ],
            [
             0.2,
             "#de77ae"
            ],
            [
             0.3,
             "#f1b6da"
            ],
            [
             0.4,
             "#fde0ef"
            ],
            [
             0.5,
             "#f7f7f7"
            ],
            [
             0.6,
             "#e6f5d0"
            ],
            [
             0.7,
             "#b8e186"
            ],
            [
             0.8,
             "#7fbc41"
            ],
            [
             0.9,
             "#4d9221"
            ],
            [
             1,
             "#276419"
            ]
           ],
           "sequential": [
            [
             0,
             "#0d0887"
            ],
            [
             0.1111111111111111,
             "#46039f"
            ],
            [
             0.2222222222222222,
             "#7201a8"
            ],
            [
             0.3333333333333333,
             "#9c179e"
            ],
            [
             0.4444444444444444,
             "#bd3786"
            ],
            [
             0.5555555555555556,
             "#d8576b"
            ],
            [
             0.6666666666666666,
             "#ed7953"
            ],
            [
             0.7777777777777778,
             "#fb9f3a"
            ],
            [
             0.8888888888888888,
             "#fdca26"
            ],
            [
             1,
             "#f0f921"
            ]
           ],
           "sequentialminus": [
            [
             0,
             "#0d0887"
            ],
            [
             0.1111111111111111,
             "#46039f"
            ],
            [
             0.2222222222222222,
             "#7201a8"
            ],
            [
             0.3333333333333333,
             "#9c179e"
            ],
            [
             0.4444444444444444,
             "#bd3786"
            ],
            [
             0.5555555555555556,
             "#d8576b"
            ],
            [
             0.6666666666666666,
             "#ed7953"
            ],
            [
             0.7777777777777778,
             "#fb9f3a"
            ],
            [
             0.8888888888888888,
             "#fdca26"
            ],
            [
             1,
             "#f0f921"
            ]
           ]
          },
          "colorway": [
           "#636efa",
           "#EF553B",
           "#00cc96",
           "#ab63fa",
           "#FFA15A",
           "#19d3f3",
           "#FF6692",
           "#B6E880",
           "#FF97FF",
           "#FECB52"
          ],
          "font": {
           "color": "#2a3f5f"
          },
          "geo": {
           "bgcolor": "white",
           "lakecolor": "white",
           "landcolor": "#E5ECF6",
           "showlakes": true,
           "showland": true,
           "subunitcolor": "white"
          },
          "hoverlabel": {
           "align": "left"
          },
          "hovermode": "closest",
          "mapbox": {
           "style": "light"
          },
          "paper_bgcolor": "white",
          "plot_bgcolor": "#E5ECF6",
          "polar": {
           "angularaxis": {
            "gridcolor": "white",
            "linecolor": "white",
            "ticks": ""
           },
           "bgcolor": "#E5ECF6",
           "radialaxis": {
            "gridcolor": "white",
            "linecolor": "white",
            "ticks": ""
           }
          },
          "scene": {
           "xaxis": {
            "backgroundcolor": "#E5ECF6",
            "gridcolor": "white",
            "gridwidth": 2,
            "linecolor": "white",
            "showbackground": true,
            "ticks": "",
            "zerolinecolor": "white"
           },
           "yaxis": {
            "backgroundcolor": "#E5ECF6",
            "gridcolor": "white",
            "gridwidth": 2,
            "linecolor": "white",
            "showbackground": true,
            "ticks": "",
            "zerolinecolor": "white"
           },
           "zaxis": {
            "backgroundcolor": "#E5ECF6",
            "gridcolor": "white",
            "gridwidth": 2,
            "linecolor": "white",
            "showbackground": true,
            "ticks": "",
            "zerolinecolor": "white"
           }
          },
          "shapedefaults": {
           "line": {
            "color": "#2a3f5f"
           }
          },
          "ternary": {
           "aaxis": {
            "gridcolor": "white",
            "linecolor": "white",
            "ticks": ""
           },
           "baxis": {
            "gridcolor": "white",
            "linecolor": "white",
            "ticks": ""
           },
           "bgcolor": "#E5ECF6",
           "caxis": {
            "gridcolor": "white",
            "linecolor": "white",
            "ticks": ""
           }
          },
          "title": {
           "x": 0.05
          },
          "xaxis": {
           "automargin": true,
           "gridcolor": "white",
           "linecolor": "white",
           "ticks": "",
           "title": {
            "standoff": 15
           },
           "zerolinecolor": "white",
           "zerolinewidth": 2
          },
          "yaxis": {
           "automargin": true,
           "gridcolor": "white",
           "linecolor": "white",
           "ticks": "",
           "title": {
            "standoff": 15
           },
           "zerolinecolor": "white",
           "zerolinewidth": 2
          }
         }
        },
        "title": {
         "text": "Timeline Plot"
        },
        "xaxis": {
         "autorange": true,
         "range": [
          "2024-04-19 22:38:00.5106",
          "2024-04-19 22:38:04.1906"
         ],
         "title": {
          "text": "Datetime"
         },
         "type": "date"
        },
        "yaxis": {
         "autorange": true,
         "range": [
          -0.5,
          4.5
         ],
         "title": {
          "text": "Trial"
         },
         "type": "linear"
        }
       }
      },
      "image/png": "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",
      "text/html": [
       "<div>                            <div id=\"4b1bc4ed-b385-4c5a-af4a-bb603dff376a\" class=\"plotly-graph-div\" style=\"height:525px; width:100%;\"></div>            <script type=\"text/javascript\">                require([\"plotly\"], function(Plotly) {                    window.PLOTLYENV=window.PLOTLYENV || {};                                    if (document.getElementById(\"4b1bc4ed-b385-4c5a-af4a-bb603dff376a\")) {                    Plotly.newPlot(                        \"4b1bc4ed-b385-4c5a-af4a-bb603dff376a\",                        [{\"base\":[\"2024-04-19T22:38:00.694568\",\"2024-04-19T22:38:01.565765\",\"2024-04-19T22:38:02.251842\",\"2024-04-19T22:38:02.745188\",\"2024-04-19T22:38:03.715313\"],\"hovertemplate\":\"%{text}\\u003cextra\\u003eCOMPLETE\\u003c\\u002fextra\\u003e\",\"marker\":{\"color\":\"blue\"},\"name\":\"COMPLETE\",\"orientation\":\"h\",\"text\":[\"{\\u003cbr\\u003e  \\\"number\\\": 0,\\u003cbr\\u003e  \\\"values\\\": [\\u003cbr\\u003e    0.6274025772395591\\u003cbr\\u003e  ],\\u003cbr\\u003e  \\\"params\\\": {\\u003cbr\\u003e    \\\"lambda\\\": 67.97305776669221,\\u003cbr\\u003e    \\\"alpha\\\": 4.765278645965258e-06,\\u003cbr\\u003e    \\\"colsample_bytree\\\": 0.8790244149224993,\\u003cbr\\u003e    \\\"max_depth\\\": 7,\\u003cbr\\u003e    \\\"min_child_weight\\\": 0.0001604288221987487,\\u003cbr\\u003e    \\\"learning_rate\\\": 2.7529953913455527e-07,\\u003cbr\\u003e    \\\"gamma\\\": 0.4658137977113674\\u003cbr\\u003e  }\\u003cbr\\u003e}\",\"{\\u003cbr\\u003e  \\\"number\\\": 1,\\u003cbr\\u003e  \\\"values\\\": [\\u003cbr\\u003e    0.6274025772395591\\u003cbr\\u003e  ],\\u003cbr\\u003e  \\\"params\\\": {\\u003cbr\\u003e    \\\"lambda\\\": 36.92645665518304,\\u003cbr\\u003e    \\\"alpha\\\": 0.11174925956201374,\\u003cbr\\u003e    \\\"colsample_bytree\\\": 0.3858535065107327,\\u003cbr\\u003e    \\\"max_depth\\\": 9,\\u003cbr\\u003e    \\\"min_child_weight\\\": 3.443531558591988e-07,\\u003cbr\\u003e    \\\"learning_rate\\\": 0.00039739592397820107,\\u003cbr\\u003e    \\\"gamma\\\": 6.030320213304569e-08\\u003cbr\\u003e  }\\u003cbr\\u003e}\",\"{\\u003cbr\\u003e  \\\"number\\\": 2,\\u003cbr\\u003e  \\\"values\\\": [\\u003cbr\\u003e    0.6274025772395591\\u003cbr\\u003e  ],\\u003cbr\\u003e  \\\"params\\\": {\\u003cbr\\u003e    \\\"lambda\\\": 3.6292109803562603e-07,\\u003cbr\\u003e    \\\"alpha\\\": 0.11148817804682892,\\u003cbr\\u003e    \\\"colsample_bytree\\\": 0.3357502505613844,\\u003cbr\\u003e    \\\"max_depth\\\": 2,\\u003cbr\\u003e    \\\"min_child_weight\\\": 7.024189817952136,\\u003cbr\\u003e    \\\"learning_rate\\\": 0.00550908121568427,\\u003cbr\\u003e    \\\"gamma\\\": 4.5928466105761136e-07\\u003cbr\\u003e  }\\u003cbr\\u003e}\",\"{\\u003cbr\\u003e  \\\"number\\\": 3,\\u003cbr\\u003e  \\\"values\\\": [\\u003cbr\\u003e    0.6274025772395591\\u003cbr\\u003e  ],\\u003cbr\\u003e  \\\"params\\\": {\\u003cbr\\u003e    \\\"lambda\\\": 0.0011690717663479322,\\u003cbr\\u003e    \\\"alpha\\\": 0.011119992684479961,\\u003cbr\\u003e    \\\"colsample_bytree\\\": 0.8454962957241452,\\u003cbr\\u003e    \\\"max_depth\\\": 6,\\u003cbr\\u003e    \\\"min_child_weight\\\": 3.5348321291215614e-07,\\u003cbr\\u003e    \\\"learning_rate\\\": 0.005671694275347173,\\u003cbr\\u003e    \\\"gamma\\\": 0.31100825338763516\\u003cbr\\u003e  }\\u003cbr\\u003e}\",\"{\\u003cbr\\u003e  \\\"number\\\": 4,\\u003cbr\\u003e  \\\"values\\\": [\\u003cbr\\u003e    0.6274025772395591\\u003cbr\\u003e  ],\\u003cbr\\u003e  \\\"params\\\": {\\u003cbr\\u003e    \\\"lambda\\\": 2.418146536196891e-05,\\u003cbr\\u003e    \\\"alpha\\\": 2.46860978964976,\\u003cbr\\u003e    \\\"colsample_bytree\\\": 0.659410160471894,\\u003cbr\\u003e    \\\"max_depth\\\": 4,\\u003cbr\\u003e    \\\"min_child_weight\\\": 5.411766293683066,\\u003cbr\\u003e    \\\"learning_rate\\\": 3.1179182665325576e-07,\\u003cbr\\u003e    \\\"gamma\\\": 0.03252267328769665\\u003cbr\\u003e  }\\u003cbr\\u003e}\"],\"textposition\":\"none\",\"x\":[866.1959999999999,684.075,490.344,945.0809999999999,291.26],\"y\":[0,1,2,3,4],\"type\":\"bar\"}],                        {\"template\":{\"data\":{\"histogram2dcontour\":[{\"type\":\"histogram2dcontour\",\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"colorscale\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]]}],\"choropleth\":[{\"type\":\"choropleth\",\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}}],\"histogram2d\":[{\"type\":\"histogram2d\",\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"colorscale\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]]}],\"heatmap\":[{\"type\":\"heatmap\",\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"colorscale\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]]}],\"heatmapgl\":[{\"type\":\"heatmapgl\",\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"colorscale\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]]}],\"contourcarpet\":[{\"type\":\"contourcarpet\",\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}}],\"contour\":[{\"type\":\"contour\",\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"colorscale\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]]}],\"surface\":[{\"type\":\"surface\",\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"colorscale\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]]}],\"mesh3d\":[{\"type\":\"mesh3d\",\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}}],\"scatter\":[{\"fillpattern\":{\"fillmode\":\"overlay\",\"size\":10,\"solidity\":0.2},\"type\":\"scatter\"}],\"parcoords\":[{\"type\":\"parcoords\",\"line\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}}}],\"scatterpolargl\":[{\"type\":\"scatterpolargl\",\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}}}],\"bar\":[{\"error_x\":{\"color\":\"#2a3f5f\"},\"error_y\":{\"color\":\"#2a3f5f\"},\"marker\":{\"line\":{\"color\":\"#E5ECF6\",\"width\":0.5},\"pattern\":{\"fillmode\":\"overlay\",\"size\":10,\"solidity\":0.2}},\"type\":\"bar\"}],\"scattergeo\":[{\"type\":\"scattergeo\",\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}}}],\"scatterpolar\":[{\"type\":\"scatterpolar\",\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}}}],\"histogram\":[{\"marker\":{\"pattern\":{\"fillmode\":\"overlay\",\"size\":10,\"solidity\":0.2}},\"type\":\"histogram\"}],\"scattergl\":[{\"type\":\"scattergl\",\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}}}],\"scatter3d\":[{\"type\":\"scatter3d\",\"line\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}}}],\"scattermapbox\":[{\"type\":\"scattermapbox\",\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}}}],\"scatterternary\":[{\"type\":\"scatterternary\",\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}}}],\"scattercarpet\":[{\"type\":\"scattercarpet\",\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}}}],\"carpet\":[{\"aaxis\":{\"endlinecolor\":\"#2a3f5f\",\"gridcolor\":\"white\",\"linecolor\":\"white\",\"minorgridcolor\":\"white\",\"startlinecolor\":\"#2a3f5f\"},\"baxis\":{\"endlinecolor\":\"#2a3f5f\",\"gridcolor\":\"white\",\"linecolor\":\"white\",\"minorgridcolor\":\"white\",\"startlinecolor\":\"#2a3f5f\"},\"type\":\"carpet\"}],\"table\":[{\"cells\":{\"fill\":{\"color\":\"#EBF0F8\"},\"line\":{\"color\":\"white\"}},\"header\":{\"fill\":{\"color\":\"#C8D4E3\"},\"line\":{\"color\":\"white\"}},\"type\":\"table\"}],\"barpolar\":[{\"marker\":{\"line\":{\"color\":\"#E5ECF6\",\"width\":0.5},\"pattern\":{\"fillmode\":\"overlay\",\"size\":10,\"solidity\":0.2}},\"type\":\"barpolar\"}],\"pie\":[{\"automargin\":true,\"type\":\"pie\"}]},\"layout\":{\"autotypenumbers\":\"strict\",\"colorway\":[\"#636efa\",\"#EF553B\",\"#00cc96\",\"#ab63fa\",\"#FFA15A\",\"#19d3f3\",\"#FF6692\",\"#B6E880\",\"#FF97FF\",\"#FECB52\"],\"font\":{\"color\":\"#2a3f5f\"},\"hovermode\":\"closest\",\"hoverlabel\":{\"align\":\"left\"},\"paper_bgcolor\":\"white\",\"plot_bgcolor\":\"#E5ECF6\",\"polar\":{\"bgcolor\":\"#E5ECF6\",\"angularaxis\":{\"gridcolor\":\"white\",\"linecolor\":\"white\",\"ticks\":\"\"},\"radialaxis\":{\"gridcolor\":\"white\",\"linecolor\":\"white\",\"ticks\":\"\"}},\"ternary\":{\"bgcolor\":\"#E5ECF6\",\"aaxis\":{\"gridcolor\":\"white\",\"linecolor\":\"white\",\"ticks\":\"\"},\"baxis\":{\"gridcolor\":\"white\",\"linecolor\":\"white\",\"ticks\":\"\"},\"caxis\":{\"gridcolor\":\"white\",\"linecolor\":\"white\",\"ticks\":\"\"}},\"coloraxis\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"colorscale\":{\"sequential\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]],\"sequentialminus\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]],\"diverging\":[[0,\"#8e0152\"],[0.1,\"#c51b7d\"],[0.2,\"#de77ae\"],[0.3,\"#f1b6da\"],[0.4,\"#fde0ef\"],[0.5,\"#f7f7f7\"],[0.6,\"#e6f5d0\"],[0.7,\"#b8e186\"],[0.8,\"#7fbc41\"],[0.9,\"#4d9221\"],[1,\"#276419\"]]},\"xaxis\":{\"gridcolor\":\"white\",\"linecolor\":\"white\",\"ticks\":\"\",\"title\":{\"standoff\":15},\"zerolinecolor\":\"white\",\"automargin\":true,\"zerolinewidth\":2},\"yaxis\":{\"gridcolor\":\"white\",\"linecolor\":\"white\",\"ticks\":\"\",\"title\":{\"standoff\":15},\"zerolinecolor\":\"white\",\"automargin\":true,\"zerolinewidth\":2},\"scene\":{\"xaxis\":{\"backgroundcolor\":\"#E5ECF6\",\"gridcolor\":\"white\",\"linecolor\":\"white\",\"showbackground\":true,\"ticks\":\"\",\"zerolinecolor\":\"white\",\"gridwidth\":2},\"yaxis\":{\"backgroundcolor\":\"#E5ECF6\",\"gridcolor\":\"white\",\"linecolor\":\"white\",\"showbackground\":true,\"ticks\":\"\",\"zerolinecolor\":\"white\",\"gridwidth\":2},\"zaxis\":{\"backgroundcolor\":\"#E5ECF6\",\"gridcolor\":\"white\",\"linecolor\":\"white\",\"showbackground\":true,\"ticks\":\"\",\"zerolinecolor\":\"white\",\"gridwidth\":2}},\"shapedefaults\":{\"line\":{\"color\":\"#2a3f5f\"}},\"annotationdefaults\":{\"arrowcolor\":\"#2a3f5f\",\"arrowhead\":0,\"arrowwidth\":1},\"geo\":{\"bgcolor\":\"white\",\"landcolor\":\"#E5ECF6\",\"subunitcolor\":\"white\",\"showland\":true,\"showlakes\":true,\"lakecolor\":\"white\"},\"title\":{\"x\":0.05},\"mapbox\":{\"style\":\"light\"}}},\"xaxis\":{\"type\":\"date\",\"title\":{\"text\":\"Datetime\"}},\"title\":{\"text\":\"Timeline Plot\"},\"yaxis\":{\"title\":{\"text\":\"Trial\"}},\"showlegend\":true},                        {\"responsive\": true}                    ).then(function(){\n",
       "                            \n",
       "var gd = document.getElementById('4b1bc4ed-b385-4c5a-af4a-bb603dff376a');\n",
       "var x = new MutationObserver(function (mutations, observer) {{\n",
       "        var display = window.getComputedStyle(gd).display;\n",
       "        if (!display || display === 'none') {{\n",
       "            console.log([gd, 'removed!']);\n",
       "            Plotly.purge(gd);\n",
       "            observer.disconnect();\n",
       "        }}\n",
       "}});\n",
       "\n",
       "// Listen for the removal of the full notebook cells\n",
       "var notebookContainer = gd.closest('#notebook-container');\n",
       "if (notebookContainer) {{\n",
       "    x.observe(notebookContainer, {childList: true});\n",
       "}}\n",
       "\n",
       "// Listen for the clearing of the current output cell\n",
       "var outputEl = gd.closest('.output');\n",
       "if (outputEl) {{\n",
       "    x.observe(outputEl, {childList: true});\n",
       "}}\n",
       "\n",
       "                        })                };                });            </script>        </div>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plot_timeline(study)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "a0ce9bc4-e238-42e3-ad3b-5d1762e6f1d2",
   "metadata": {},
   "outputs": [],
   "source": [
    "from dask.diagnostics import visualize\n",
    "visualize([prof, rprof, cprof])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "ed84d791-e4f2-40f4-84c7-c17bdf7efc2a",
   "metadata": {},
   "outputs": [],
   "source": [
    "import dask.array as da\n",
    "from dask.diagnostics import Profiler, ResourceProfiler, CacheProfiler\n",
    "a = da.random.random(size=(10000, 1000), chunks=(1000, 1000))\n",
    "q, r = da.linalg.qr(a)\n",
    "a2 = q.dot(r)\n",
    "\n",
    "with Profiler() as prof, ResourceProfiler(dt=0.25) as rprof,CacheProfiler() as cprof:\n",
    "    out = a2.compute()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "31ae5564-1ba7-4229-9ebf-4541fe15654d",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div style=\"display: table;\"><div style=\"display: table-row;\"><div style=\"display: table-cell;\"><b title=\"bokeh.models.plots.GridPlot\">GridPlot</b>(</div><div style=\"display: table-cell;\">id&nbsp;=&nbsp;'p6996', <span id=\"p7005\" style=\"cursor: pointer;\">&hellip;)</span></div></div><div class=\"p7004\" style=\"display: none;\"><div style=\"display: table-cell;\"></div><div style=\"display: table-cell;\">align&nbsp;=&nbsp;'auto',</div></div><div class=\"p7004\" style=\"display: none;\"><div style=\"display: table-cell;\"></div><div style=\"display: table-cell;\">aspect_ratio&nbsp;=&nbsp;None,</div></div><div class=\"p7004\" style=\"display: none;\"><div style=\"display: table-cell;\"></div><div style=\"display: table-cell;\">children&nbsp;=&nbsp;[(figure(id='p6879', ...), 0, 0), (figure(id='p6908', ...), 1, 0), (figure(id='p6962', ...), 2, 0)],</div></div><div class=\"p7004\" style=\"display: none;\"><div style=\"display: table-cell;\"></div><div style=\"display: table-cell;\">cols&nbsp;=&nbsp;None,</div></div><div class=\"p7004\" style=\"display: none;\"><div style=\"display: table-cell;\"></div><div style=\"display: table-cell;\">context_menu&nbsp;=&nbsp;None,</div></div><div class=\"p7004\" style=\"display: none;\"><div style=\"display: table-cell;\"></div><div style=\"display: table-cell;\">css_classes&nbsp;=&nbsp;[],</div></div><div class=\"p7004\" style=\"display: none;\"><div style=\"display: table-cell;\"></div><div style=\"display: table-cell;\">disabled&nbsp;=&nbsp;False,</div></div><div class=\"p7004\" style=\"display: none;\"><div style=\"display: table-cell;\"></div><div style=\"display: table-cell;\">flow_mode&nbsp;=&nbsp;'block',</div></div><div class=\"p7004\" style=\"display: none;\"><div style=\"display: table-cell;\"></div><div style=\"display: table-cell;\">height&nbsp;=&nbsp;None,</div></div><div class=\"p7004\" style=\"display: none;\"><div style=\"display: table-cell;\"></div><div style=\"display: table-cell;\">height_policy&nbsp;=&nbsp;'auto',</div></div><div class=\"p7004\" style=\"display: none;\"><div style=\"display: table-cell;\"></div><div style=\"display: table-cell;\">js_event_callbacks&nbsp;=&nbsp;{},</div></div><div class=\"p7004\" style=\"display: none;\"><div style=\"display: table-cell;\"></div><div style=\"display: table-cell;\">js_property_callbacks&nbsp;=&nbsp;{},</div></div><div class=\"p7004\" style=\"display: none;\"><div style=\"display: table-cell;\"></div><div style=\"display: table-cell;\">margin&nbsp;=&nbsp;None,</div></div><div class=\"p7004\" style=\"display: none;\"><div style=\"display: table-cell;\"></div><div style=\"display: table-cell;\">max_height&nbsp;=&nbsp;None,</div></div><div class=\"p7004\" style=\"display: none;\"><div style=\"display: table-cell;\"></div><div style=\"display: table-cell;\">max_width&nbsp;=&nbsp;None,</div></div><div class=\"p7004\" style=\"display: none;\"><div style=\"display: table-cell;\"></div><div style=\"display: table-cell;\">min_height&nbsp;=&nbsp;None,</div></div><div class=\"p7004\" style=\"display: none;\"><div style=\"display: table-cell;\"></div><div style=\"display: table-cell;\">min_width&nbsp;=&nbsp;None,</div></div><div class=\"p7004\" style=\"display: none;\"><div style=\"display: table-cell;\"></div><div style=\"display: table-cell;\">name&nbsp;=&nbsp;None,</div></div><div class=\"p7004\" style=\"display: none;\"><div style=\"display: table-cell;\"></div><div style=\"display: table-cell;\">resizable&nbsp;=&nbsp;False,</div></div><div class=\"p7004\" style=\"display: none;\"><div style=\"display: table-cell;\"></div><div style=\"display: table-cell;\">rows&nbsp;=&nbsp;None,</div></div><div class=\"p7004\" style=\"display: none;\"><div style=\"display: table-cell;\"></div><div style=\"display: table-cell;\">sizing_mode&nbsp;=&nbsp;None,</div></div><div class=\"p7004\" style=\"display: none;\"><div style=\"display: table-cell;\"></div><div style=\"display: table-cell;\">spacing&nbsp;=&nbsp;0,</div></div><div class=\"p7004\" style=\"display: none;\"><div style=\"display: table-cell;\"></div><div style=\"display: table-cell;\">styles&nbsp;=&nbsp;{},</div></div><div class=\"p7004\" style=\"display: none;\"><div style=\"display: table-cell;\"></div><div style=\"display: table-cell;\">stylesheets&nbsp;=&nbsp;[],</div></div><div class=\"p7004\" style=\"display: none;\"><div style=\"display: table-cell;\"></div><div style=\"display: table-cell;\">subscribed_events&nbsp;=&nbsp;PropertyValueSet(),</div></div><div class=\"p7004\" style=\"display: none;\"><div style=\"display: table-cell;\"></div><div style=\"display: table-cell;\">syncable&nbsp;=&nbsp;True,</div></div><div class=\"p7004\" style=\"display: none;\"><div style=\"display: table-cell;\"></div><div style=\"display: table-cell;\">tags&nbsp;=&nbsp;[],</div></div><div class=\"p7004\" style=\"display: none;\"><div style=\"display: table-cell;\"></div><div style=\"display: table-cell;\">toolbar&nbsp;=&nbsp;Toolbar(id='p6995', ...),</div></div><div class=\"p7004\" style=\"display: none;\"><div style=\"display: table-cell;\"></div><div style=\"display: table-cell;\">toolbar_location&nbsp;=&nbsp;'above',</div></div><div class=\"p7004\" style=\"display: none;\"><div style=\"display: table-cell;\"></div><div style=\"display: table-cell;\">visible&nbsp;=&nbsp;True,</div></div><div class=\"p7004\" style=\"display: none;\"><div style=\"display: table-cell;\"></div><div style=\"display: table-cell;\">width&nbsp;=&nbsp;None,</div></div><div class=\"p7004\" style=\"display: none;\"><div style=\"display: table-cell;\"></div><div style=\"display: table-cell;\">width_policy&nbsp;=&nbsp;'auto')</div></div></div>\n",
       "<script>\n",
       "(function() {\n",
       "  let expanded = false;\n",
       "  const ellipsis = document.getElementById(\"p7005\");\n",
       "  ellipsis.addEventListener(\"click\", function() {\n",
       "    const rows = document.getElementsByClassName(\"p7004\");\n",
       "    for (let i = 0; i < rows.length; i++) {\n",
       "      const el = rows[i];\n",
       "      el.style.display = expanded ? \"none\" : \"table-row\";\n",
       "    }\n",
       "    ellipsis.innerHTML = expanded ? \"&hellip;)\" : \"&lsaquo;&lsaquo;&lsaquo;\";\n",
       "    expanded = !expanded;\n",
       "  });\n",
       "})();\n",
       "</script>\n"
      ],
      "text/plain": [
       "GridPlot(id='p6996', ...)"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from dask.diagnostics import visualize\n",
    "visualize([prof, rprof, cprof])"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "9923522a-cd28-44a3-9f16-2c8810174840",
   "metadata": {},
   "source": [
    "-----------------------------------------------------------------------------------------------------"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "54cb7650-ccd6-46b7-9bd4-bbd78b91f5b4",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "%time\n",
    "data = pd.read_csv(\"Parking_Violations.csv\")\n",
    "data.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "c3f01b40-822e-4a8b-b5b1-d1d05c0462ad",
   "metadata": {},
   "outputs": [],
   "source": [
    "import dask.dataframe as dd\n",
    "%time \n",
    "df = dd.read_csv('Parking_Violations.csv')\n",
    "df = df.iloc[500:5000,:]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "115e5d89-470d-432c-98f9-c2d732f23a9a",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "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": "3.12.2"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}