TSP_MOROCCO_GA.ipynb

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      "name": "python"
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  "cells": [
    {
      "cell_type": "code",
      "source": [
        "# First, install required packages\n",
        "!pip install folium\n",
        "\n",
        "# Import necessary libraries\n",
        "import numpy as np\n",
        "import matplotlib.pyplot as plt\n",
        "import random\n",
        "from typing import List, Tuple\n",
        "import folium\n",
        "from IPython.display import display, HTML, clear_output"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "Xlpq-adYdGSW",
        "outputId": "f752817e-824d-48d4-9d36-f9621e9f95f9"
      },
      "execution_count": 1,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Requirement already satisfied: folium in /usr/local/lib/python3.10/dist-packages (0.17.0)\n",
            "Requirement already satisfied: branca>=0.6.0 in /usr/local/lib/python3.10/dist-packages (from folium) (0.8.0)\n",
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            "Requirement already satisfied: numpy in /usr/local/lib/python3.10/dist-packages (from folium) (1.26.4)\n",
            "Requirement already satisfied: requests in /usr/local/lib/python3.10/dist-packages (from folium) (2.32.3)\n",
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            "Requirement already satisfied: charset-normalizer<4,>=2 in /usr/local/lib/python3.10/dist-packages (from requests->folium) (3.4.0)\n",
            "Requirement already satisfied: idna<4,>=2.5 in /usr/local/lib/python3.10/dist-packages (from requests->folium) (3.10)\n",
            "Requirement already satisfied: urllib3<3,>=1.21.1 in /usr/local/lib/python3.10/dist-packages (from requests->folium) (2.2.3)\n",
            "Requirement already satisfied: certifi>=2017.4.17 in /usr/local/lib/python3.10/dist-packages (from requests->folium) (2024.8.30)\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "# Step 1: Define our Moroccan cities\n",
        "We'll use actual coordinates of major Moroccan cities"
      ],
      "metadata": {
        "id": "XNYMBw4gdHHE"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# Define Moroccan cities with their coordinates (latitude, longitude) and names\n",
        "CITIES = [\n",
        "    {\"name\": \"Casablanca\", \"coords\": [33.5731, -7.5898]},\n",
        "    {\"name\": \"Rabat\", \"coords\": [34.0209, -6.8416]},\n",
        "    {\"name\": \"Fes\", \"coords\": [34.0181, -5.0078]},\n",
        "    {\"name\": \"Marrakech\", \"coords\": [31.6295, -7.9811]},\n",
        "    {\"name\": \"Tangier\", \"coords\": [35.7595, -5.8340]},\n",
        "    {\"name\": \"Agadir\", \"coords\": [30.4278, -9.5981]},\n",
        "    {\"name\": \"Meknes\", \"coords\": [33.8935, -5.5547]},\n",
        "    {\"name\": \"Oujda\", \"coords\": [34.6867, -1.9114]},\n",
        "    {\"name\": \"Kenitra\", \"coords\": [34.2610, -6.5802]},\n",
        "    {\"name\": \"Tetouan\", \"coords\": [35.5889, -5.3626]}\n",
        "    ]\n",
        ""
      ],
      "metadata": {
        "id": "hwx5zw2NdLzJ"
      },
      "execution_count": 4,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "# Step 2: Define our classes and helper functions"
      ],
      "metadata": {
        "id": "A5wDz6E1dRBf"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# GA Parameters\n",
        "POPULATION_SIZE = 100\n",
        "MAX_GENERATIONS = 200\n",
        "MUTATION_RATE = 0.2\n",
        "TOURNAMENT_SIZE = 5\n",
        "\n",
        "class City:\n",
        "    def __init__(self, name: str, lat: float, lon: float):\n",
        "        self.name = name\n",
        "        self.lat = lat\n",
        "        self.lon = lon\n",
        "\n",
        "class Route:\n",
        "    def __init__(self):\n",
        "        self.path = []\n",
        "        self.fitness = float('inf')\n",
        "\n",
        "    def calculate_fitness(self) -> float:\n",
        "        total_distance = 0\n",
        "        for i in range(len(self.path)):\n",
        "            city1 = self.path[i]\n",
        "            city2 = self.path[(i + 1) % len(self.path)]\n",
        "            total_distance += haversine_distance(city1, city2)\n",
        "        self.fitness = total_distance\n",
        "        return self.fitness"
      ],
      "metadata": {
        "id": "dEf4XfYedUVJ"
      },
      "execution_count": 5,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "# Step 3: Implement distance calculation using Haversine formula"
      ],
      "metadata": {
        "id": "tQ8BtJUEdZCt"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "def haversine_distance(city1: City, city2: City) -> float:\n",
        "    \"\"\"Calculate the great circle distance between two cities\"\"\"\n",
        "    R = 6371  # Earth's radius in kilometers\n",
        "\n",
        "    lat1, lon1 = np.radians(city1.lat), np.radians(city1.lon)\n",
        "    lat2, lon2 = np.radians(city2.lat), np.radians(city2.lon)\n",
        "\n",
        "    dlat = lat2 - lat1\n",
        "    dlon = lon2 - lon1\n",
        "\n",
        "    a = np.sin(dlat/2)**2 + np.cos(lat1) * np.cos(lat2) * np.sin(dlon/2)**2\n",
        "    c = 2 * np.arcsin(np.sqrt(a))\n",
        "\n",
        "    return R * c"
      ],
      "metadata": {
        "id": "vbSUcfmudcfp"
      },
      "execution_count": 6,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "# Step 4: Implement Genetic Algorithm Functions\n"
      ],
      "metadata": {
        "id": "nXM_iJZSdyWU"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "def create_initial_population(cities: List[City], pop_size: int) -> List[Route]:\n",
        "    \"\"\"Create initial random population\"\"\"\n",
        "    population = []\n",
        "    for _ in range(pop_size):\n",
        "        route = Route()\n",
        "        route.path = random.sample(cities, len(cities))\n",
        "        route.calculate_fitness()\n",
        "        population.append(route)\n",
        "    return population\n",
        "\n",
        "def tournament_selection(population: List[Route]) -> Route:\n",
        "    \"\"\"Select parent using tournament selection\"\"\"\n",
        "    tournament = random.sample(population, TOURNAMENT_SIZE)\n",
        "    return min(tournament, key=lambda x: x.fitness)\n",
        "\n",
        "def ordered_crossover(parent1: Route, parent2: Route) -> Route:\n",
        "    \"\"\"Create child route using ordered crossover\"\"\"\n",
        "    size = len(parent1.path)\n",
        "    child = Route()\n",
        "    child.path = [None] * size\n",
        "\n",
        "    start = random.randint(0, size-2)\n",
        "    end = random.randint(start+1, size-1)\n",
        "\n",
        "    child.path[start:end+1] = parent1.path[start:end+1]\n",
        "\n",
        "    parent2_cities = [city for city in parent2.path if city not in child.path[start:end+1]]\n",
        "    j = 0\n",
        "    for i in range(size):\n",
        "        if child.path[i] is None:\n",
        "            child.path[i] = parent2_cities[j]\n",
        "            j += 1\n",
        "\n",
        "    child.calculate_fitness()\n",
        "    return child\n",
        "\n",
        "def swap_mutation(route: Route) -> None:\n",
        "    \"\"\"Perform swap mutation\"\"\"\n",
        "    if random.random() < MUTATION_RATE:\n",
        "        i, j = random.sample(range(len(route.path)), 2)\n",
        "        route.path[i], route.path[j] = route.path[j], route.path[i]\n",
        "        route.calculate_fitness()"
      ],
      "metadata": {
        "id": "IZozQ-tEd1tw"
      },
      "execution_count": 7,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "# Step 5: Implement Visualization Functions\n",
        "\n",
        "> Add blockquote\n",
        "\n"
      ],
      "metadata": {
        "id": "99xH7kyBeJdl"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "def plot_fitness_progress(fitness_history: List[float]):\n",
        "    \"\"\"Plot the fitness progress over generations\"\"\"\n",
        "    plt.figure(figsize=(10, 5))\n",
        "    plt.plot(fitness_history, 'b-')\n",
        "    plt.title('Best Fitness Over Generations')\n",
        "    plt.xlabel('Generation')\n",
        "    plt.ylabel('Distance (km)')\n",
        "    plt.grid(True)\n",
        "    plt.show()\n",
        "\n",
        "def create_route_map(best_route: Route):\n",
        "    \"\"\"Create an interactive map of the route\"\"\"\n",
        "    m = folium.Map(location=[32.8, -6.0], zoom_start=6)\n",
        "\n",
        "    coordinates = []\n",
        "    for city in best_route.path:\n",
        "        coordinates.append([city.lat, city.lon])\n",
        "        folium.CircleMarker(\n",
        "            [city.lat, city.lon],\n",
        "            radius=6,\n",
        "            popup=city.name,\n",
        "            color='red',\n",
        "            fill=True\n",
        "        ).add_to(m)\n",
        "\n",
        "    coordinates.append(coordinates[0])\n",
        "\n",
        "    folium.PolyLine(\n",
        "        coordinates,\n",
        "        weight=2,\n",
        "        color='blue',\n",
        "        opacity=0.8\n",
        "    ).add_to(m)\n",
        "\n",
        "    display(m)"
      ],
      "metadata": {
        "id": "J5Z_F3OceMLU"
      },
      "execution_count": 8,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "# Step 6: Run the Genetic Algorithm"
      ],
      "metadata": {
        "id": "Wp3cJJ42eQZZ"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# Create list of City objects\n",
        "cities = [City(city[\"name\"], city[\"coords\"][0], city[\"coords\"][1]) for city in CITIES]\n",
        "\n",
        "# Initialize population\n",
        "population = create_initial_population(cities, POPULATION_SIZE)\n",
        "\n",
        "# Track best fitness\n",
        "best_fitness_history = []\n",
        "\n",
        "# Main GA loop\n",
        "for generation in range(MAX_GENERATIONS):\n",
        "    # Create new population\n",
        "    new_population = []\n",
        "\n",
        "    # Elitism: keep best route\n",
        "    best_route = min(population, key=lambda x: x.fitness)\n",
        "    new_population.append(best_route)\n",
        "\n",
        "    # Create rest of new population\n",
        "    while len(new_population) < POPULATION_SIZE:\n",
        "        parent1 = tournament_selection(population)\n",
        "        parent2 = tournament_selection(population)\n",
        "        child = ordered_crossover(parent1, parent2)\n",
        "        swap_mutation(child)\n",
        "        new_population.append(child)\n",
        "\n",
        "    # Update population\n",
        "    population = new_population\n",
        "\n",
        "    # Track best fitness\n",
        "    best_fitness = min(route.fitness for route in population)\n",
        "    best_fitness_history.append(best_fitness)\n",
        "\n",
        "    # Print progress every 20 generations\n",
        "    if generation % 20 == 0:\n",
        "        clear_output(wait=True)\n",
        "        print(f\"Generation {generation}: Best Distance = {best_fitness:.2f} km\")"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "PZL2nluDeTvW",
        "outputId": "12d4fdf9-0c75-4fe1-e000-1ba42082bae3"
      },
      "execution_count": 9,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Generation 180: Best Distance = 1963.77 km\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "# Step 7: Display Results"
      ],
      "metadata": {
        "id": "avq4UF5XeZuU"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# Get best route\n",
        "best_route = min(population, key=lambda x: x.fitness)\n",
        "\n",
        "# Plot fitness progress\n",
        "plot_fitness_progress(best_fitness_history)\n",
        "\n",
        "# Create and display route map\n",
        "create_route_map(best_route)\n",
        "\n",
        "# Print final route\n",
        "print(\"\\nBest Route Found:\")\n",
        "print(\" -> \".join([city.name for city in best_route.path]))\n",
        "print(f\"Total Distance: {best_route.fitness:.2f} km\")"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 942
        },
        "id": "fLUP3tzceh4m",
        "outputId": "3f29b56e-9087-488b-9f6e-90ecb50a7ca4"
      },
      "execution_count": 10,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1000x500 with 1 Axes>"
            ],
            "image/png": 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j+fPnKzw83HdqU+/evXXy5EmNHz8+3/gTJ0743nz+/vvvfv/iLkmXXHKJJCk3N1eSVK5cOUnK94a1OHnvkXSurxEaGqpevXrpww8/9LtUutevv/7q+/mPp8yFh4erYcOGMsbI4/Ho5MmT+U45i4uLU7Vq1Xw9OZORI0cqIiJCgwYNyvc6Bw4c0ODBg1WuXDnfpe69OnbsqNjYWE2bNk3Tpk3T5Zdf7neaXFxcnDp06KDXXntNe/fuLXT/AtW7d281bNhQ48eP16pVqwoc88djpHfv3lq5cqU+//zzfGOzsrJ84b+oimv/QkND89X60ksv5btHWCDHW9euXZWRkaFp06b5lp04cUIvvfSSKlSokO8qkmeTk5OjY8eO+S2rV6+eIiMjz3p8AUBhmNkCgGLw2Wef+f5Vfd++fZo6daq2bt2qRx991Hdq2pVXXqlBgwYpNTVVa9euVVJSksLCwrR161ZNnz5dL774om688Ua99dZbeuWVV9SjRw/Vq1dPhw4d0r///W9FRUWpa9eukk6drtWwYUNNmzZNF154oWJjY9W4cWPfJcmLQ8uWLSWduijDzTffrLCwMF133XUB3aj2qaee0uLFi9WqVSvdfffdatiwoQ4cOKBvv/1WCxYs0IEDBySdumdUQkKC2rZtq/j4eH3//ff617/+pW7duikyMlJZWVmqUaOGbrzxRjVr1kwVKlTQggUL9PXXX/vNmBTkggsu0FtvvaV+/fqpSZMmGjhwoBITE7Vjxw698cYb+u233/Tee+/5XexDOjWj07NnT73//vs6cuSInn322Xzbfvnll3XFFVeoSZMmuvvuu1W3bl1lZmZq5cqV+uWXX7Ru3boi9+qPrz1r1iwlJyfriiuuUM+ePdWuXTuVL19eu3fv1ieffKJdu3apW7duvueMHDlSn3zyia699loNGDBALVu21JEjR7RhwwbNmDFDO3bs8F3Cv6iKY/+uvfZa/ec//1F0dLQaNmyolStXasGCBb7bA3hdcsklCg0N1dNPP62DBw/K7Xbr6quvLvAzjvfcc49ee+01DRgwQGvWrFGdOnU0Y8YMffnll3rhhRfOekGUP/rvf/+ra665xhdyy5Qpo1mzZikzM1M333xzQNsCAD9BuQYiAJQSBV36vWzZsuaSSy4xkyZNMnl5efmeM3nyZNOyZUsTERFhIiMjTZMmTczDDz9s9uzZY4wx5ttvvzV9+/Y1tWrVMm6328TFxZlrr73WfPPNN37bWbFihWnZsqUJDw8/62XgvZd+nz59+hnHFLSN8ePHm+rVq5uQkJB8l4kv6DLstWvXNv379/dblpmZaVJSUkzNmjVNWFiYSUhIMNdcc42ZPHmyb8xrr71m2rdvbypVqmTcbrepV6+eGTlypO/S5rm5uWbkyJGmWbNmJjIy0pQvX940a9bMvPLKK2fcnz9av3696du3r6lataqvjr59+5oNGzac8Tnp6elGknG5XObnn38ucMy2bdvM7bffbhISEkxYWJipXr26ufbaa82MGTN8Y7zHSWGX8y9IVlaWGTdunGnevLmpUKGCCQ8PNzVr1jQ33nij3yXavQ4dOmRGjRpl6tevb8LDw03lypXNX/7yF/Pss8+a48ePG2P+dzn0gi5zXtAx8Gf37/fffzd33HGHqVy5sqlQoYJJTk42P/zwQ4HHyr///W9Tt25dExoa6ncZ+D9e+t2YU8eVd7vh4eGmSZMmZsqUKX5jirqvv/32m0lJSTEXX3yxKV++vImOjjatWrUyH3zwQb7nAUAgXMb8YW4fAAAAAPCn8ZktAAAAALAAYQsAAAAALEDYAgAAAAALELYAAAAAwAKELQAAAACwAGELAAAAACzATY2LIC8vT3v27FFkZKRcLlewywEAAAAQJMYYHTp0SNWqVVNISOFzV4StItizZ49q1qwZ7DIAAAAA2MTPP/+sGjVqFDqGsFUEkZGRkk41NCoqKsjVSB6PR/Pnz1dSUpLCwsKCXU6pQ3+tR4+tRX+tR4+tRX+tR4+tRX+tF8weZ2dnq2bNmr6MUBjCVhF4Tx2MioqyTdgqV66coqKi+A/YAvTXevTYWvTXevTYWvTXevTYWvTXenbocVE+XsQFMgAAAADAAoQtAAAAALAAYQsAAAAALEDYAgAAAAALELYAAAAAwAKELQAAAACwAGELAAAAACxA2AIAAAAACxC2AAAAAMAChC0AAAAAsABhCwAAAAAsQNgCAAAAAAsENWylpqbqsssuU2RkpOLi4tS9e3dt2bLFt/7AgQO67777dNFFFykiIkK1atXSsGHDdPDgQb/t7Nq1S926dVO5cuUUFxenkSNH6sSJE35jlixZohYtWsjtdqt+/fpKS0sriV0EAAAAcJ4KathaunSpUlJStGrVKqWnp8vj8SgpKUlHjhyRJO3Zs0d79uzRs88+q40bNyotLU3z5s3TwIEDfds4efKkunXrpuPHj2vFihV66623lJaWptGjR/vGbN++Xd26ddNVV12ltWvXavjw4brrrrv0+eefl/g+/1nTpknNm5fRm282CnYpAAAAAApRJpgvPm/ePL/HaWlpiouL05o1a9S+fXs1btxYH374oW99vXr19OSTT+rWW2/ViRMnVKZMGc2fP1+bN2/WggULFB8fr0suuUTjx4/XI488ojFjxig8PFyvvvqqEhMT9dxzz0mSGjRooOXLl2vixIlKTk4u0X3+sw4ckDZtcikyslywSwEAAABQiKCGrT/ynh4YGxtb6JioqCiVKXOq9JUrV6pJkyaKj4/3jUlOTta9996rTZs2qXnz5lq5cqU6duzot53k5GQNHz68wNfIzc1Vbm6u73F2drYkyePxyOPxnNO+FR+XpDLKy3PZoJbSydtX+msdemwt+ms9emwt+ms9emwt+mu9YPY4kNe0TdjKy8vT8OHD1bZtWzVu3LjAMb/99pvGjx+ve+65x7csIyPDL2hJ8j3OyMgodEx2draOHj2qiIgIv3WpqakaO3ZsvtefP3++ypUL7ozSpk21JDVXXp5L6enpQa2ltKO/1qPH1qK/1qPH1qK/1qPH1qK/1gtGj3Nycoo81jZhKyUlRRs3btTy5csLXJ+dna1u3bqpYcOGGjNmjKW1jBo1Sg888IDfa9esWVNJSUmKioqy9LXP5tdfXZIkY6ROnTopLCwsqPWURh6PR+np6fTXQvTYWvTXevTYWvTXevTYWvTXesHssfest6KwRdgaOnSo5syZo2XLlqlGjRr51h86dEidO3dWZGSkZs2a5dfQhIQEffXVV37jMzMzfeu8373LTh8TFRWVb1ZLktxut9xud77lYWFhQf8PJjz81Pe8PJct6inN6K/16LG16K/16LG16K/16LG16K/1gtHjQF4vqFcjNMZo6NChmjVrlhYtWqTExMR8Y7Kzs5WUlKTw8HB98sknKlu2rN/6Nm3aaMOGDdq3b59vWXp6uqKiotSwYUPfmIULF/o9Lz09XW3atLFgr6wVGnrqe16eK7iFAAAAAChUUMNWSkqK3nnnHU2dOlWRkZHKyMhQRkaGjh49Kul/QevIkSN64403lJ2d7Rtz8uRJSVJSUpIaNmyo2267TevWrdPnn3+uv/3tb0pJSfHNTg0ePFg//fSTHn74Yf3www965ZVX9MEHH2jEiBFB2/dzRdgCAAAAnCGopxFOmjRJktShQwe/5VOmTNGAAQP07bffavXq1ZKk+vXr+43Zvn276tSpo9DQUM2ZM0f33nuv2rRpo/Lly6t///4aN26cb2xiYqLmzp2rESNG6MUXX1SNGjX0+uuvO+6y7xJhCwAAAHCKoIYtY0yh6zt06HDWMZJUu3Ztffrpp2fd1nfffRdQfXZE2AIAAACcIainESJwhC0AAADAGQhbDkPYAgAAAJyBsOUwhC0AAADAGQhbDhPy/7+xvLzg1gEAAACgcIQth2FmCwAAAHAGwpbDELYAAAAAZyBsOQxhCwAAAHAGwpbDELYAAAAAZyBsOQxhCwAAAHAGwpbDELYAAAAAZyBsOQxhCwAAAHAGwpbD/O8+W4QtAAAAwM4IWw7zv5mt4NYBAAAAoHCELYfhNEIAAADAGQhbDkPYAgAAAJyBsOUwhC0AAADAGQhbDkPYAgAAAJyBsOUwhC0AAADAGQhbDkPYAgAAAJyBsOUw3rBlDGELAAAAsDPClsOcflNjY4JbCwAAAIAzI2w5jHdmS+LGxgAAAICdEbYc5vSwdfJk8OoAAAAAUDjClsMQtgAAAABnIGw5DGELAAAAcAbClsMQtgAAAABnIGw5DGELAAAAcAbClsMQtgAAAABnIGw5jOu0exlz6XcAAADAvghbDhQaeupuxsxsAQAAAPZF2HIg76mEhC0AAADAvghbDkTYAgAAAOyPsOVAhC0AAADA/ghbDkTYAgAAAOyPsOVAhC0AAADA/ghbDkTYAgAAAOyPsOVA3rDFfbYAAAAA+yJsOVDI///WmNkCAAAA7Iuw5UD/m9lyBbcQAAAAAGdE2HIgPrMFAAAA2B9hy4EIWwAAAID9EbYciM9sAQAAAPZH2HIgZrYAAAAA+yNsORBhCwAAALA/wpYDEbYAAAAA+yNsOZD3M1vc1BgAAACwL8KWA4WGGknMbAEAAAB2RthyIE4jBAAAAOyPsOVAhC0AAADA/ghbDkTYAgAAAOyPsOVAhC0AAADA/ghbDkTYAgAAAOyPsOVAhC0AAADA/ghbDuQNW9xnCwAAALAvwpYDcVNjAAAAwP4IWw7kDVucRggAAADYF2HLgf73mS1XcAsBAAAAcEaELQfiAhkAAACA/RG2HIiwBQAAANgfYcuBCFsAAACA/RG2HIiwBQAAANgfYcuBCFsAAACA/RG2HIj7bAEAAAD2F9SwlZqaqssuu0yRkZGKi4tT9+7dtWXLFr8xkydPVocOHRQVFSWXy6WsrKx826lTp45cLpff11NPPeU3Zv369WrXrp3Kli2rmjVrasKECVbumqWY2QIAAADsL6hha+nSpUpJSdGqVauUnp4uj8ejpKQkHTlyxDcmJydHnTt31mOPPVbotsaNG6e9e/f6vu677z7fuuzsbCUlJal27dpas2aNnnnmGY0ZM0aTJ0+2bN+sFBpqJBG2AAAAADsrE8wXnzdvnt/jtLQ0xcXFac2aNWrfvr0kafjw4ZKkJUuWFLqtyMhIJSQkFLju3Xff1fHjx/Xmm28qPDxcjRo10tq1a/X888/rnnvu+dP7UdKY2QIAAADsL6hh648OHjwoSYqNjQ34uU899ZTGjx+vWrVq6ZZbbtGIESNUpsyp3Vu5cqXat2+v8PBw3/jk5GQ9/fTT+v3331WxYkW/beXm5io3N9f3ODs7W5Lk8Xjk8XgCrs0aofJ48uTx8MGt4ub9Hdvnd1360GNr0V/r0WNr0V/r0WNr0V/rBbPHgbymbcJWXl6ehg8frrZt26px48YBPXfYsGFq0aKFYmNjtWLFCo0aNUp79+7V888/L0nKyMhQYmKi33Pi4+N96/4YtlJTUzV27Nh8rzN//nyVK1cuoNqssHt3I0n1tW3bDn366eZgl1NqpaenB7uEUo8eW4v+Wo8eW4v+Wo8eW4v+Wi8YPc7JySnyWNuErZSUFG3cuFHLly8P+LkPPPCA7+emTZsqPDxcgwYNUmpqqtxud8DbGzVqlN82s7OzVbNmTSUlJSkqKirg7RW3xYtPfa9Zs466dq0T1FpKI4/Ho/T0dHXq1ElhYWHBLqdUosfWor/Wo8fWor/Wo8fWor/WC2aPvWe9FYUtwtbQoUM1Z84cLVu2TDVq1PjT22vVqpVOnDihHTt26KKLLlJCQoIyMzP9xngfF/Q5L7fbXWBICwsLs8V/MGFh3g9rhSgsLDSotZRmdvl9l2b02Fr013r02Fr013r02Fr013rB6HEgrxfUqxEaYzR06FDNmjVLixYtyneq37lau3atQkJCFBcXJ0lq06aNli1b5nd+ZXp6ui666KJ8pxA6AffZAgAAAOwvqGErJSVF77zzjqZOnarIyEhlZGQoIyNDR48e9Y3JyMjQ2rVr9eOPP0qSNmzYoLVr1+rAgQOSTl384oUXXtC6dev0008/6d1339WIESN06623+oLULbfcovDwcA0cOFCbNm3StGnT9OKLL/qdKugkXI0QAAAAsL+gnkY4adIkSVKHDh38lk+ZMkUDBgyQJL366qt+F6vwXhLeO8btduv999/XmDFjlJubq8TERI0YMcIvSEVHR2v+/PlKSUlRy5YtVblyZY0ePdqRl32XCFsAAACAEwQ1bBljzjpmzJgxGjNmzBnXt2jRQqtWrTrrdpo2baovvvgikPJsi7AFAAAA2F9QTyPEuflf2HIFtxAAAAAAZ0TYciBmtgAAAAD7I2w5EGELAAAAsD/ClgMRtgAAAAD7I2w5kDdscZ8tAAAAwL4IWw7kvakxM1sAAACAfRG2HIjTCAEAAAD7I2w5UGjoqfuTEbYAAAAA+yJsORAzWwAAAID9EbYciAtkAAAAAPZH2HIgLpABAAAA2B9hy4E4jRAAAACwP8KWAxG2AAAAAPsjbDmQ9zRCPrMFAAAA2Bdhy4GY2QIAAADsj7DlQIQtAAAAwP4IWw5E2AIAAADsj7DlQP8LW67gFgIAAADgjAhbDsTMFgAAAGB/hC0HImwBAAAA9kfYciDCFgAAAGB/hC0H8oYt7rMFAAAA2Bdhy4G4qTEAAABgf4QtB+I0QgAAAMD+CFsORNgCAAAA7I+w5UChoUYSYQsAAACwM8KWA3k/s0XYAgAAAOyLsOVAnEYIAAAA2B9hy4EIWwAAAID9EbYciLAFAAAA2B9hy4G4zxYAAABgf4QtB2JmCwAAALA/wpYDEbYAAAAA+yNsORBhCwAAALA/wpYDEbYAAAAA+yNsOZA3bBnjkjHBrQUAAABAwQhbDuQNWxKzWwAAAIBdEbYciLAFAAAA2B9hy4FOD1vcawsAAACwJ8KWA4Wc9ltjZgsAAACwJ8KWA3EaIQAAAGB/hC0HImwBAAAA9kfYciDCFgAAAGB/hC0Hcrkkl+vUDbYIWwAAAIA9EbYcKiSEsAUAAADYGWHLoQhbAAAAgL2VCfQJubm5Wr16tXbu3KmcnBxVqVJFzZs3V2JiohX14QwIWwAAAIC9FTlsffnll3rxxRc1e/ZseTweRUdHKyIiQgcOHFBubq7q1q2re+65R4MHD1ZkZKSVNUOnPrclcVNjAAAAwK6KdBrh9ddfrz59+qhOnTqaP3++Dh06pP379+uXX35RTk6Otm7dqr/97W9auHChLrzwQqWnp1td93mPmS0AAADA3oo0s9WtWzd9+OGHCgsLK3B93bp1VbduXfXv31+bN2/W3r17i7VI5BcaStgCAAAA7KxIYWvQoEFF3mDDhg3VsGHDcy4IRcPMFgAAAGBvAV8g43SHDx9W3h8+NBQVFfWnCkLRELYAAAAAewv40u/bt29Xt27dVL58eUVHR6tixYqqWLGiYmJiVLFiRStqRAEIWwAAAIC9BTyzdeutt8oYozfffFPx8fFyeS+LhxJF2AIAAADsLeCwtW7dOq1Zs0YXXXSRFfWgiAhbAAAAgL0FfBrhZZddpp9//tmKWhAAb9jiPlsAAACAPQU8s/X6669r8ODB2r17txo3bpzvcvBNmzYttuJwZt6zN5nZAgAAAOwp4LD166+/atu2bbrjjjt8y1wul4wxcrlcOsm7/xLBaYQAAACAvQUctu688041b95c7733HhfICCLCFgAAAGBvAYetnTt36pNPPlH9+vWtqAdFRNgCAAAA7C3gC2RcffXVWrdunRW1IACELQAAAMDeAp7Zuu666zRixAht2LBBTZo0yXeBjOuvv77YisOZhYYStgAAAAA7CzhsDR48WJI0bty4fOu4QEbJYWYLAAAAsLeATyPMy8s741egQSs1NVWXXXaZIiMjFRcXp+7du2vLli1+YyZPnqwOHTooKipKLpdLWVlZ+bZz4MAB9evXT1FRUYqJidHAgQN1+PBhvzHr169Xu3btVLZsWdWsWVMTJkwIdNdthbAFAAAA2FvAYeuXX34547pVq1YFtK2lS5cqJSVFq1atUnp6ujwej5KSknTkyBHfmJycHHXu3FmPPfbYGbfTr18/bdq0Senp6ZozZ46WLVume+65x7c+OztbSUlJql27ttasWaNnnnlGY8aM0eTJkwOq105cLm5qDAAAANhZwKcRJiUlafny5YqNjfVb/uWXX6pbt24Fzjydybx58/wep6WlKS4uTmvWrFH79u0lScOHD5ckLVmypMBtfP/995o3b56+/vprXXrppZKkl156SV27dtWzzz6ratWq6d1339Xx48f15ptvKjw8XI0aNdLatWv1/PPP+4Uyr9zcXOXm5voeZ2dnS5I8Ho88Hk+R988qHo/HN7OVm3tCHo8JckWli/d3bIffdWlFj61Ff61Hj61Ff61Hj61Ff60XzB4H8poBh63WrVsrKSlJixcvVmRkpCRp2bJluu666zRmzJhAN+fn4MGDkpQvyBVm5cqViomJ8QUtSerYsaNCQkK0evVq9ejRQytXrlT79u0VHh7uG5OcnKynn35av//+uypWrOi3zdTUVI0dOzbfa82fP1/lypULdLcsERLyF0nSmjVrVaHC7iBXUzqlp6cHu4RSjx5bi/5ajx5bi/5ajx5bi/5aLxg9zsnJKfLYgMPW66+/rhtvvFHXXXedPv/8c61YsULXX3+9/v73v+v+++8PdHM+eXl5Gj58uNq2bavGjRsX+XkZGRmKi4vzW1amTBnFxsYqIyPDNyYxMdFvTHx8vG/dH8PWqFGj9MADD/geZ2dnq2bNmkpKSlJUVFRA+2UFj8ejMWNOfSatSZNL1LVrsyBXVLp4PB6lp6erU6dO+a62ieJBj61Ff61Hj61Ff61Hj61Ff60XzB57z3orioDDVkhIiN5//31169ZNV199tdavX6/U1FQNHTo00E35SUlJ0caNG7V8+fI/tZ3i4Ha75Xa78y0PCwuzzX8w3tMIXa4ysklJpY6dft+lFT22Fv21Hj22Fv21Hj22Fv21XjB6HMjrFSlsrV+/Pt+yMWPGqG/fvrr11lvVvn1735imTZsW+cW9hg4d6ruwRY0aNQJ6bkJCgvbt2+e37MSJEzpw4IASEhJ8YzIzM/3GeB97xzgNVyMEAAAA7K1IYeuSSy6Ry+WSMf+7EIP38WuvvabJkyfLGBPwfbaMMbrvvvs0a9YsLVmyJN+pfkXRpk0bZWVlac2aNWrZsqUkadGiRcrLy1OrVq18Y/7617/K4/H4kmh6erouuuiifKcQOgVhCwAAALC3IoWt7du3W/LiKSkpmjp1qj7++GNFRkb6PmMVHR2tiIgISac+U5WRkaEff/xRkrRhwwZFRkaqVq1aio2NVYMGDdS5c2fdfffdevXVV+XxeDR06FDdfPPNqlatmiTplltu0dixYzVw4EA98sgj2rhxo1588UVNnDjRkv0qCYQtAAAAwN6KFLZq165tyYtPmjRJktShQwe/5VOmTNGAAQMkSa+++qrflQG9l4Q/fcy7776roUOH6pprrlFISIh69eqlf/7zn77nREdHa/78+UpJSVHLli1VuXJljR49usDLvjuFN2xxny0AAADAnooUtlatWqXWrVsXaYM5OTnavn27GjVqdNaxp5+WeCZjxow56yXlY2NjNXXq1ELHNG3aVF988cVZX88pmNkCAAAA7C2kKINuu+02JScna/r06Tpy5EiBYzZv3qzHHntM9erV05o1a4q1SORH2AIAAADsrUgzW5s3b9akSZP0t7/9TbfccosuvPBCVatWTWXLltXvv/+uH374QYcPH1aPHj00f/58NWnSxOq6z3sh/x+TCVsAAACAPRUpbIWFhWnYsGEaNmyYvvnmGy1fvlw7d+7U0aNH1axZM40YMUJXXXWVYmNjra4X/4+ZLQAAAMDeAr6p8aWXXqpLL73UiloQAMIWAAAAYG9F+swW7IewBQAAANgbYcuhCFsAAACAvRG2HIqwBQAAANgbYcuhuKkxAAAAYG9/KmwdO3asuOpAgJjZAgAAAOwt4LCVl5en8ePHq3r16qpQoYJ++uknSdLjjz+uN954o9gLRMEIWwAAAIC9BRy2/v73vystLU0TJkxQeHi4b3njxo31+uuvF2txODNuagwAAADYW8Bh6+2339bkyZPVr18/hYaG+pY3a9ZMP/zwQ7EWhzNjZgsAAACwt4DD1u7du1W/fv18y/Py8uTxeIqlKJwdYQsAAACwt4DDVsOGDfXFF1/kWz5jxgw1b968WIrC2RG2AAAAAHsrE+gTRo8erf79+2v37t3Ky8vTzJkztWXLFr399tuaM2eOFTWiAIQtAAAAwN4Cntm64YYbNHv2bC1YsEDly5fX6NGj9f3332v27Nnq1KmTFTWiANxnCwAAALC3gGe2JKldu3ZKT08v7loQAGa2AAAAAHsLeGbr66+/1urVq/MtX716tb755ptiKQpnR9gCAAAA7C3gsJWSkqKff/453/Ldu3crJSWlWIrC2RG2AAAAAHsLOGxt3rxZLVq0yLe8efPm2rx5c7EUhbPjpsYAAACAvQUcttxutzIzM/Mt37t3r8qUOaePgOEcMLMFAAAA2FvAYSspKUmjRo3SwYMHfcuysrL02GOPcTXCEkTYAgAAAOwt4KmoZ599Vu3bt1ft2rV9NzFeu3at4uPj9Z///KfYC0TBCFsAAACAvQUctqpXr67169fr3Xff1bp16xQREaE77rhDffv2VVhYmBU1ogDcZwsAAACwt3P6kFX58uV1zz33FHctCIDLxcwWAAAAYGfnFLa2bt2qxYsXa9++fcr7w9TK6NGji6UwFI7TCAEAAAB7Czhs/fvf/9a9996rypUrKyEhQS6Xy7fO5XIRtkoIYQsAAACwt4DD1t///nc9+eSTeuSRR6yoB0UUGkrYAgAAAOws4Eu///7777rpppusqAUBYGYLAAAAsLeAw9ZNN92k+fPnW1ELAhDy/785whYAAABgTwGfRli/fn09/vjjWrVqlZo0aZLvcu/Dhg0rtuJwZsxsAQAAAPYWcNiaPHmyKlSooKVLl2rp0qV+61wuF2GrhBC2AAAAAHsLOGxt377dijoQIO99tripMQAAAGBPAX9mC/bAzBYAAABgb+d0U+NffvlFn3zyiXbt2qXjx4/7rXv++eeLpTAUjrAFAAAA2FvAYWvhwoW6/vrrVbduXf3www9q3LixduzYIWOMWrRoYUWNKABhCwAAALC3gE8jHDVqlB566CFt2LBBZcuW1Ycffqiff/5ZV155JfffKkGELQAAAMDeAg5b33//vW6//XZJUpkyZXT06FFVqFBB48aN09NPP13sBaJgoaGELQAAAMDOAg5b5cuX931Oq2rVqtq2bZtv3W+//VZ8laFQ3NQYAAAAsLeAP7PVunVrLV++XA0aNFDXrl314IMPasOGDZo5c6Zat25tRY0oAKcRAgAAAPYWcNh6/vnndfjwYUnS2LFjdfjwYU2bNk0XXHABVyIsQd6wxX22AAAAAHsKOGzVrVvX93P58uX16quvFmtBKBrvTY2Z2QIAAADsKeDPbNWtW1f79+/PtzwrK8sviMFanEYIAAAA2FvAYWvHjh06WcA7/NzcXO3evbtYisLZEbYAAAAAeyvyaYSffPKJ7+fPP/9c0dHRvscnT57UwoULVadOnWItDmdG2AIAAADsrchhq3v37pIkl8ul/v37+60LCwtTnTp19NxzzxVrcTgzwhYAAABgb0UOW3n/f9m7xMREff3116pcubJlReHsCFsAAACAvQV8NcLt27fnW5aVlaWYmJjiqAdFRNgCAAAA7C3gC2Q8/fTTmjZtmu/xTTfdpNjYWFWvXl3r1q0r1uJwZqGhp74TtgAAAAB7Cjhsvfrqq6pZs6YkKT09XQsWLNC8efPUpUsXjRw5stgLRMG899nipsYAAACAPQV8GmFGRoYvbM2ZM0e9e/dWUlKS6tSpo1atWhV7gSiY9zRCY059uVxBLggAAACAn4BntipWrKiff/5ZkjRv3jx17NhRkmSMKfD+W7CGN2xJnEoIAAAA2FHAM1s9e/bULbfcogsuuED79+9Xly5dJEnfffed6tevX+wFomB/DFtlAv5NAgAAALBSwG/RJ06cqDp16ujnn3/WhAkTVKFCBUnS3r17NWTIkGIvEAVjZgsAAACwt4DDVlhYmB566KF8y0eMGFEsBaFoCFsAAACAvRUpbH3yySfq0qWLwsLC9MknnxQ69vrrry+WwlA4whYAAABgb0UKW927d1dGRobi4uLUvXv3M45zuVxcJKOEELYAAAAAeytS2Mo77WZOedzYyRZCTruOJL8SAAAAwH4CvvQ77MHl+t+NjZnZAgAAAOwnoAtk5OXlKS0tTTNnztSOHTvkcrmUmJioG2+8Ubfddptc3Fm3RIWGSidOELYAAAAAOyryzJYxRtdff73uuusu7d69W02aNFGjRo20c+dODRgwQD169LCyThQgNPTUd8IWAAAAYD9FntlKS0vTsmXLtHDhQl111VV+6xYtWqTu3bvr7bff1u23317sRaJghC0AAADAvoo8s/Xee+/pscceyxe0JOnqq6/Wo48+qnfffTegF09NTdVll12myMhI35UOt2zZ4jfm2LFjSklJUaVKlVShQgX16tVLmZmZfmNcLle+r/fff99vzJIlS9SiRQu53W7Vr19faWlpAdVqR4QtAAAAwL6KHLbWr1+vzp07n3F9ly5dtG7duoBefOnSpUpJSdGqVauUnp4uj8ejpKQkHTlyxDdmxIgRmj17tqZPn66lS5dqz5496tmzZ75tTZkyRXv37vV9nX6J+u3bt6tbt2666qqrtHbtWg0fPlx33XWXPv/884DqtRvCFgAAAGBfRT6N8MCBA4qPjz/j+vj4eP3+++8Bvfi8efP8HqelpSkuLk5r1qxR+/btdfDgQb3xxhuaOnWqrr76akmnQlWDBg20atUqtW7d2vfcmJgYJSQkFPg6r776qhITE/Xcc89Jkho0aKDly5dr4sSJSk5ODqhmOyFsAQAAAPZV5LB18uRJlSlz5uGhoaE6ceLEnyrm4MGDkqTY2FhJ0po1a+TxeNSxY0ffmIsvvli1atXSypUr/cJWSkqK7rrrLtWtW1eDBw/WHXfc4bs64sqVK/22IUnJyckaPnx4gXXk5uYqNzfX9zg7O1uS5PF45PF4/tQ+FgdvDd57bR075pENyio1vP21w++6tKLH1qK/1qPH1qK/1qPH1qK/1gtmjwN5zSKHLWOMBgwYILfbXeD608PJucjLy9Pw4cPVtm1bNW7cWJKUkZGh8PBwxcTE+I2Nj49XRkaG7/G4ceN09dVXq1y5cpo/f76GDBmiw4cPa9iwYb7t/HFWLj4+XtnZ2Tp69KgiIiL81qWmpmrs2LH5apw/f77KlSv3p/azOJ04kSuprJYtW66ff84OdjmlTnp6erBLKPXosbXor/XosbXor/XosbXor/WC0eOcnJwijy1y2Orfv/9Zx/yZKxGmpKRo48aNWr58ecDPffzxx30/N2/eXEeOHNEzzzzjC1uBGjVqlB544AHf4+zsbNWsWVNJSUmKioo6p20WJ4/Ho/T0dEVEhOv336W//OUKNW8e7KpKD29/O3XqpLCwsGCXUyrRY2vRX+vRY2vRX+vRY2vRX+sFs8fes96Koshha8qUKedUTFEMHTpUc+bM0bJly1SjRg3f8oSEBB0/flxZWVl+s1uZmZln/HyWJLVq1Urjx49Xbm6u3G63EhIS8l3BMDMzU1FRUflmtSTJ7XYXOIMXFhZmq/9gypQ5dZqkyxUmG5VVatjt910a0WNr0V/r0WNr0V/r0WNr0V/rBaPHgbxeka9GaAVjjIYOHapZs2Zp0aJFSkxM9FvfsmVLhYWFaeHChb5lW7Zs0a5du9SmTZszbnft2rWqWLGiLzC1adPGbxvSqSnHwrbhBFwgAwAAALCvIs9sWSElJUVTp07Vxx9/rMjISN/nsKKjoxUREaHo6GgNHDhQDzzwgGJjYxUVFaX77rtPbdq08V0cY/bs2crMzFTr1q1VtmxZpaen6x//+Iceeugh3+sMHjxY//rXv/Twww/rzjvv1KJFi/TBBx9o7ty5Qdnv4kLYAgAAAOwrqGFr0qRJkqQOHTr4LZ8yZYoGDBggSZo4caJCQkLUq1cv5ebmKjk5Wa+88opvbFhYmF5++WWNGDFCxhjVr19fzz//vO6++27fmMTERM2dO1cjRozQiy++qBo1auj111939GXfpf9djZCwBQAAANhPUMOWMeasY8qWLauXX35ZL7/8coHrO3fuXOjNlr06dOig7777LuAa7YyZLQAAAMC+gvqZLfw5hC0AAADAvghbDuYNW3l5wa0DAAAAQH6ELQfjM1sAAACAfRG2HCw09NRn3ghbAAAAgP0QthyMz2wBAAAA9kXYcjDCFgAAAGBfhC0HI2wBAAAA9kXYcjDCFgAAAGBfhC0HI2wBAAAA9kXYcjDCFgAAAGBfhC0H895ni5saAwAAAPZD2HIwbmoMAAAA2Bdhy8E4jRAAAACwL8KWgxG2AAAAAPsibDkYYQsAAACwL8KWgxG2AAAAAPsibDkYYQsAAACwL8KWgxG2AAAAAPsibDmYN2xxny0AAADAfghbDsZ9tgAAAAD7Imw5WGiokUTYAgAAAOyIsOVgfGYLAAAAsC/CloMRtgAAAAD7Imw5GGELAAAAsC/CloMRtgAAAAD7Imw5GFcjBAAAAOyLsOVgzGwBAAAA9kXYcjDvzBY3NQYAAADsh7DlYMxsAQAAAPZF2HIwwhYAAABgX4QtByNsAQAAAPZF2HIwwhYAAABgX4QtByNsAQAAAPZF2HIwwhYAAABgX4QtByNsAQAAAPZF2HIwb9jiPlsAAACA/RC2HMx7U2NmtgAAAAD7IWw5GKcRAgAAAPZF2HKw0FAjibAFAAAA2BFhy8GY2QIAAADsi7DlYHxmCwAAALAvwpaDMbMFAAAA2Bdhy8EIWwAAAIB9EbYcjPtsAQAAAPZF2HIwPrMFAAAA2Bdhy8E4jRAAAACwL8KWgxG2AAAAAPsibDkYYQsAAACwL8KWgxG2AAAAAPsibDkYYQsAAACwL8KWgxG2AAAAAPsibDkYYQsAAACwL8KWg3FTYwAAAMC+CFsOxk2NAQAAAPsibDkYpxECAAAA9kXYcjDCFgAAAGBfhC0HCwkxkghbAAAAgB0RthyMmS0AAADAvghbDkbYAgAAAOyLsOVghC0AAADAvghbDsZ9tgAAAAD7Imw5GPfZAgAAAOyLsOVgnEYIAAAA2FdQw1Zqaqouu+wyRUZGKi4uTt27d9eWLVv8xhw7dkwpKSmqVKmSKlSooF69eikzM9NvzK5du9StWzeVK1dOcXFxGjlypE6cOOE3ZsmSJWrRooXcbrfq16+vtLQ0q3fPcoQtAAAAwL6CGraWLl2qlJQUrVq1Sunp6fJ4PEpKStKRI0d8Y0aMGKHZs2dr+vTpWrp0qfbs2aOePXv61p88eVLdunXT8ePHtWLFCr311ltKS0vT6NGjfWO2b9+ubt266aqrrtLatWs1fPhw3XXXXfr8889LdH+LG2ELAAAAsK8ywXzxefPm+T1OS0tTXFyc1qxZo/bt2+vgwYN64403NHXqVF199dWSpClTpqhBgwZatWqVWrdurfnz52vz5s1asGCB4uPjdckll2j8+PF65JFHNGbMGIWHh+vVV19VYmKinnvuOUlSgwYNtHz5ck2cOFHJycklvt/FhbAFAAAA2FdQw9YfHTx4UJIUGxsrSVqzZo08Ho86duzoG3PxxRerVq1aWrlypVq3bq2VK1eqSZMmio+P941JTk7Wvffeq02bNql58+ZauXKl3za8Y4YPH15gHbm5ucrNzfU9zs7OliR5PB55PJ5i2dc/w1tDXp5HUpgkKTfX47tgBv4cb3/t8Lsureixteiv9eixteiv9eixteiv9YLZ40Be0zZhKy8vT8OHD1fbtm3VuHFjSVJGRobCw8MVExPjNzY+Pl4ZGRm+MacHLe9677rCxmRnZ+vo0aOKiIjwW5eamqqxY8fmq3H+/PkqV67cue9kMfviiyWSukqS5sz5TGXKmCBWU/qkp6cHu4RSjx5bi/5ajx5bi/5ajx5bi/5aLxg9zsnJKfJY24StlJQUbdy4UcuXLw92KRo1apQeeOAB3+Ps7GzVrFlTSUlJioqKCmJlp3g8HqWnp+uaazr4liUldVHZssGrqTTx9rdTp04KCwsLdjmlEj22Fv21Hj22Fv21Hj22Fv21XjB77D3rrShsEbaGDh2qOXPmaNmyZapRo4ZveUJCgo4fP66srCy/2a3MzEwlJCT4xnz11Vd+2/NerfD0MX+8gmFmZqaioqLyzWpJktvtltvtzrc8LCzMVv/BuN3/qyU0NEw2Kq1UsNvvuzSix9aiv9ajx9aiv9ajx9aiv9YLRo8Deb2gfsrHGKOhQ4dq1qxZWrRokRITE/3Wt2zZUmFhYVq4cKFv2ZYtW7Rr1y61adNGktSmTRtt2LBB+/bt841JT09XVFSUGjZs6Btz+ja8Y7zbcCrvBTIkLpIBAAAA2E1QZ7ZSUlI0depUffzxx4qMjPR9xio6OloRERGKjo7WwIED9cADDyg2NlZRUVG677771KZNG7Vu3VqSlJSUpIYNG+q2227ThAkTlJGRob/97W9KSUnxzU4NHjxY//rXv/Twww/rzjvv1KJFi/TBBx9o7ty5Qdv34kDYAgAAAOwrqDNbkyZN0sGDB9WhQwdVrVrV9zVt2jTfmIkTJ+raa69Vr1691L59eyUkJGjmzJm+9aGhoZozZ45CQ0PVpk0b3Xrrrbr99ts1btw435jExETNnTtX6enpatasmZ577jm9/vrrjr7su0TYAgAAAOwsqDNbxpz96nlly5bVyy+/rJdffvmMY2rXrq1PP/200O106NBB3333XcA12tnpl3onbAEAAAD2wp2ZHMzl+l/gImwBAAAA9kLYcjjvqYSELQAAAMBeCFsOR9gCAAAA7Imw5XDesJWXF9w6AAAAAPgjbDkcn9kCAAAA7Imw5XCcRggAAADYE2HL4QhbAAAAgD0RthyOsAUAAADYE2HL4QhbAAAAgD2VCXYB+HO8Yes//5GWLMm/vkYNqVevUzdABgAAAFByCFsOV778qe/PP3/mMcuWSe3alUw9AAAAAE4hbDncxInSO+9IxuRf98UX0i+/SP/9L2ELAAAAKGmELYfr0uXUV0Huukt64w1pz56SrQkAAAAAF8go1apWPfV9797g1gEAAACcjwhbpVi1aqe+E7YAAACAkkfYKsW8M1ucRggAAACUPMJWKcbMFgAAABA8hK1S7PTPbOXlBbcWAAAA4HxD2CrF4uNPfT9xQtq/P7i1AAAAAOcbwlYpFh4uValy6mc+twUAAACULMJWKcfl3wEAAIDgIGyVclwkAwAAAAgOwlYpx+XfAQAAgOAgbJVyzGwBAAAAwUHYKuWY2QIAAACCg7BVyjGzBQAAAAQHYauUY2YLAAAACA7CVil3+qXfjQluLQAAAMD5hLBVyiUknPru8Uj79we3FgAAAOB8Qtgq5dxuqVKlUz/zuS0AAACg5BC2zgNcJAMAAAAoeYSt8wAXyQAAAABKHmHrPMDMFgAAAFDyCFvnAWa2AAAAgJJH2DoPnH75dwAAAAAlg7B1HvCeRsjMFgAAAFByCFvnAWa2AAAAgJJH2DoPnH6BDGOCWwsAAABwviBsnQcSEk59z82Vfv89uLUAAAAA5wvC1nmgbFkpNvbUz5xKCAAAAJQMwtZ5gsu/AwAAACWLsHWe4MbGAAAAQMkibJ0nmNkCAAAAShZh6zzB5d8BAACAkkXYOk9wGiEAAABQslzGcOels8nOzlZ0dLQOHjyoqKioYJcjj8ejTz/9VF27dlVYWFiRnjN9utS7t1S+vFS3rsUFOpwxRocOZSsyMkoulyvY5ZRK9Nha9Nd69Nha9Nd69Nha9Nc677wjNW16bu+Hi0sg2aBMCdWEIGvWTHK5pCNHpA0bgl2N3bkkRQe7iFKOHluL/lqPHluL/lqPHluL/lolJyfYFQSGsHWeuPBC6YcfpF27gl2J/Z04cUJfffWVLr/8cpUpw38iVqDH1qK/1qPH1qK/1qPH1qK/1mnQINgVBIbf/nnkwgtPfaFwHo9Rbu6vuuYaoxKelT5v0GNr0V/r0WNr0V/r0WNr0V94cYEMAAAAALAAYQsAAAAALEDYAgAAAAALELYAAAAAwAKELQAAAACwAGELAAAAACxA2AIAAAAACxC2AAAAAMAChC0AAAAAsABhCwAAAAAsQNgCAAAAAAsQtgAAAADAAoQtAAAAALAAYQsAAAAALFAm2AU4gTFGkpSdnR3kSk7xeDzKyclRdna2wsLCgl1OqUN/rUePrUV/rUePrUV/rUePrUV/rRfMHnszgTcjFIawVQSHDh2SJNWsWTPIlQAAAACwg0OHDik6OrrQMS5TlEh2nsvLy9OePXsUGRkpl8sV7HKUnZ2tmjVr6ueff1ZUVFSwyyl16K/16LG16K/16LG16K/16LG16K/1gtljY4wOHTqkatWqKSSk8E9lMbNVBCEhIapRo0awy8gnKiqK/4AtRH+tR4+tRX+tR4+tRX+tR4+tRX+tF6wen21Gy4sLZAAAAACABQhbAAAAAGABwpYDud1uPfHEE3K73cEupVSiv9ajx9aiv9ajx9aiv9ajx9aiv9ZzSo+5QAYAAAAAWICZLQAAAACwAGELAAAAACxA2AIAAAAACxC2AAAAAMAChC2Hefnll1WnTh2VLVtWrVq10ldffRXskhwpNTVVl112mSIjIxUXF6fu3btry5YtfmM6dOggl8vl9zV48OAgVew8Y8aMyde/iy++2Lf+2LFjSklJUaVKlVShQgX16tVLmZmZQazYeerUqZOvxy6XSykpKZI4hgO1bNkyXXfddapWrZpcLpc++ugjv/XGGI0ePVpVq1ZVRESEOnbsqK1bt/qNOXDggPr166eoqCjFxMRo4MCBOnz4cAnuhb0V1mOPx6NHHnlETZo0Ufny5VWtWjXdfvvt2rNnj982Cjrun3rqqRLeE3s62zE8YMCAfL3r3Lmz3xiO4cKdrccF/U12uVx65plnfGM4hs+sKO/PivL+YdeuXerWrZvKlSunuLg4jRw5UidOnCjJXfEhbDnItGnT9MADD+iJJ57Qt99+q2bNmik5OVn79u0LdmmOs3TpUqWkpGjVqlVKT0+Xx+NRUlKSjhw54jfu7rvv1t69e31fEyZMCFLFztSoUSO//i1fvty3bsSIEZo9e7amT5+upUuXas+ePerZs2cQq3Wer7/+2q+/6enpkqSbbrrJN4ZjuOiOHDmiZs2a6eWXXy5w/YQJE/TPf/5Tr776qlavXq3y5csrOTlZx44d843p16+fNm3apPT0dM2ZM0fLli3TPffcU1K7YHuF9TgnJ0fffvutHn/8cX377beaOXOmtmzZouuvvz7f2HHjxvkd1/fdd19JlG97ZzuGJalz585+vXvvvff81nMMF+5sPT69t3v37tWbb74pl8ulXr16+Y3jGC5YUd6fne39w8mTJ9WtWzcdP35cK1as0FtvvaW0tDSNHj06GLskGTjG5ZdfblJSUnyPT548aapVq2ZSU1ODWFXpsG/fPiPJLF261LfsyiuvNPfff3/winK4J554wjRr1qzAdVlZWSYsLMxMnz7dt+z77783kszKlStLqMLS5/777zf16tUzeXl5xhiO4T9Dkpk1a5bvcV5enklISDDPPPOMb1lWVpZxu93mvffeM8YYs3nzZiPJfP31174xn332mXG5XGb37t0lVrtT/LHHBfnqq6+MJLNz507fstq1a5uJEydaW1wpUFB/+/fvb2644YYzPodjODBFOYZvuOEGc/XVV/st4xguuj++PyvK+4dPP/3UhISEmIyMDN+YSZMmmaioKJObm1uyO2CMYWbLIY4fP641a9aoY8eOvmUhISHq2LGjVq5cGcTKSoeDBw9KkmJjY/2Wv/vuu6pcubIaN26sUaNGKScnJxjlOdbWrVtVrVo11a1bV/369dOuXbskSWvWrJHH4/E7ni+++GLVqlWL4/kcHT9+XO+8847uvPNOuVwu33KO4eKxfft2ZWRk+B2z0dHRatWqle+YXblypWJiYnTppZf6xnTs2FEhISFavXp1iddcGhw8eFAul0sxMTF+y5966ilVqlRJzZs31zPPPBO004OcaMmSJYqLi9NFF12ke++9V/v37/et4xguXpmZmZo7d64GDhyYbx3HcNH88f1ZUd4/rFy5Uk2aNFF8fLxvTHJysrKzs7Vp06YSrP6UMiX+ijgnv/32m06ePOl34EhSfHy8fvjhhyBVVTrk5eVp+PDhatu2rRo3buxbfsstt6h27dqqVq2a1q9fr0ceeURbtmzRzJkzg1itc7Rq1UppaWm66KKLtHfvXo0dO1bt2rXTxo0blZGRofDw8HxvoOLj45WRkRGcgh3uo48+UlZWlgYMGOBbxjFcfLzHZUF/g73rMjIyFBcX57e+TJkyio2N5bg+B8eOHdMjjzyivn37Kioqyrd82LBhatGihWJjY7VixQqNGjVKe/fu1fPPPx/Eap2hc+fO6tmzpxITE7Vt2zY99thj6tKli1auXKnQ0FCO4WL21ltvKTIyMt8p8hzDRVPQ+7OivH/IyMgo8G+1d11JI2zhvJeSkqKNGzf6fZ5Ikt856k2aNFHVqlV1zTXXaNu2bapXr15Jl+k4Xbp08f3ctGlTtWrVSrVr19YHH3ygiIiIIFZWOr3xxhvq0qWLqlWr5lvGMQyn8ng86t27t4wxmjRpkt+6Bx54wPdz06ZNFR4erkGDBik1NVVut7ukS3WUm2++2fdzkyZN1LRpU9WrV09LlizRNddcE8TKSqc333xT/fr1U9myZf2WcwwXzZnenzkNpxE6ROXKlRUaGprvaiuZmZlKSEgIUlXON3ToUM2ZM0eLFy9WjRo1Ch3bqlUrSdKPP/5YEqWVOjExMbrwwgv1448/KiEhQcePH1dWVpbfGI7nc7Nz504tWLBAd911V6HjOIbPnfe4LOxvcEJCQr4LFp04cUIHDhzguA6AN2jt3LlT6enpfrNaBWnVqpVOnDihHTt2lEyBpUjdunVVuXJl398EjuHi88UXX2jLli1n/bsscQwX5Ezvz4ry/iEhIaHAv9XedSWNsOUQ4eHhatmypRYuXOhblpeXp4ULF6pNmzZBrMyZjDEaOnSoZs2apUWLFikxMfGsz1m7dq0kqWrVqhZXVzodPnxY27ZtU9WqVdWyZUuFhYX5Hc9btmzRrl27OJ7PwZQpUxQXF6du3boVOo5j+NwlJiYqISHB75jNzs7W6tWrfcdsmzZtlJWVpTVr1vjGLFq0SHl5eb6gi8J5g9bWrVu1YMECVapU6azPWbt2rUJCQvKd/oaz++WXX7R//37f3wSO4eLzxhtvqGXLlmrWrNlZx3IM/8/Z3p8V5f1DmzZttGHDBr9/OPD+w03Dhg1LZkdOV+KX5MA5e//9943b7TZpaWlm8+bN5p577jExMTF+V1tB0dx7770mOjraLFmyxOzdu9f3lZOTY4wx5scffzTjxo0z33zzjdm+fbv5+OOPTd26dU379u2DXLlzPPjgg2bJkiVm+/bt5ssvvzQdO3Y0lStXNvv27TPGGDN48GBTq1Yts2jRIvPNN9+YNm3amDZt2gS5auc5efKkqVWrlnnkkUf8lnMMB+7QoUPmu+++M999952RZJ5//nnz3Xff+a6E99RTT5mYmBjz8ccfm/Xr15sbbrjBJCYmmqNHj/q20blzZ9O8eXOzevVqs3z5cnPBBReYvn37BmuXbKewHh8/ftxcf/31pkaNGmbt2rV+f5u9VxBbsWKFmThxolm7dq3Ztm2beeedd0yVKlXM7bffHuQ9s4fC+nvo0CHz0EMPmZUrV5rt27ebBQsWmBYtWpgLLrjAHDt2zLcNjuHCne3vhDHGHDx40JQrV85MmjQp3/M5hgt3tvdnxpz9/cOJEydM48aNTVJSklm7dq2ZN2+eqVKlihk1alQwdskQthzmpZdeMrVq1TLh4eHm8ssvN6tWrQp2SY4kqcCvKVOmGGOM2bVrl2nfvr2JjY01brfb1K9f34wcOdIcPHgwuIU7SJ8+fUzVqlVNeHi4qV69uunTp4/58ccffeuPHj1qhgwZYipWrGjKlStnevToYfbu3RvEip3p888/N5LMli1b/JZzDAdu8eLFBf5d6N+/vzHm1OXfH3/8cRMfH2/cbre55ppr8vV9//79pm/fvqZChQomKirK3HHHHebQoUNB2Bt7KqzH27dvP+Pf5sWLFxtjjFmzZo1p1aqViY6ONmXLljUNGjQw//jHP/zCwvmssP7m5OSYpKQkU6VKFRMWFmZq165t7r777nz/YMsxXLiz/Z0wxpjXXnvNREREmKysrHzP5xgu3NnenxlTtPcPO3bsMF26dDERERGmcuXK5sEHHzQej6eE9+YUlzHGWDRpBgAAAADnLT6zBQAAAAAWIGwBAAAAgAUIWwAAAABgAcIWAAAAAFiAsAUAAAAAFiBsAQAAAIAFCFsAAAAAYAHCFgAAAABYgLAFAEAQpKWlKSYmJthlAAAsRNgCANhaRkaG7r//ftWvX19ly5ZVfHy82rZtq0mTJiknJyfY5RVJnTp19MILL/gt69Onj/773/8GpyAAQIkoE+wCAAA4k59++klt27ZVTEyM/vGPf6hJkyZyu93asGGDJk+erOrVq+v6668PSm3GGJ08eVJlypzb/0ojIiIUERFRzFUBAOyEmS0AgG0NGTJEZcqU0TfffKPevXurQYMGqlu3rm644QbNnTtX1113nSQpKytLd911l6pUqaKoqChdffXVWrdunW87Y8aM0SWXXKL//Oc/qlOnjqKjo3XzzTfr0KFDvjF5eXlKTU1VYmKiIiIi1KxZM82YMcO3fsmSJXK5XPrss8/UsmVLud1uLV++XNu2bdMNN9yg+Ph4VahQQZdddpkWLFjge16HDh20c+dOjRgxQi6XSy6XS1LBpxFOmjRJ9erVU3h4uC666CL95z//8Vvvcrn0+uuvq0ePHipXrpwuuOACffLJJ8XWbwBA8SJsAQBsaf/+/Zo/f75SUlJUvnz5Asd4g8tNN92kffv26bPPPtOaNWvUokULXXPNNTpw4IBv7LZt2/TRRx9pzpw5mjNnjpYuXaqnnnrKtz41NVVvv/22Xn31VW3atEkjRozQrbfeqqVLl/q95qOPPqqnnnpK33//vZo2barDhw+ra9euWrhwob777jt17txZ1113nXbt2iVJmjlzpmrUqKFx48Zp79692rt3b4H7MmvWLN1///168MEHtXHjRg0aNEh33HGHFi9e7Ddu7Nix6t27t9avX6+uXbuqX79+fvsJALARAwCADa1atcpIMjNnzvRbXqlSJVO+fHlTvnx58/DDD5svvvjCREVFmWPHjvmNq1evnnnttdeMMcY88cQTply5ciY7O9u3fuTIkaZVq1bGGGOOHTtmypUrZ1asWOG3jYEDB5q+ffsaY4xZvHixkWQ++uijs9beqFEj89JLL/ke165d20ycONFvzJQpU0x0dLTv8V/+8hdz9913+4256aabTNeuXX2PJZm//e1vvseHDx82ksxnn3121poAACWPz2wBABzlq6++Ul5envr166fc3FytW7dOhw8fVqVKlfzGHT16VNu2bfM9rlOnjiIjI32Pq1atqn379kmSfvzxR+Xk5KhTp05+2zh+/LiaN2/ut+zSSy/1e3z48GGNGTNGc+fO1d69e3XixAkdPXrUN7NVVN9//73uuecev2Vt27bViy++6LesadOmvp/Lly+vqKgo334AAOyFsAUAsKX69evL5XJpy5Ytfsvr1q0rSb6LSxw+fFhVq1bVkiVL8m3j9M9EhYWF+a1zuVzKy8vzbUOS5s6dq+rVq/uNc7vdfo//eErjQw89pPT0dD377LOqX7++IiIidOONN+r48eNF3NPAFLYfAAB7IWwBAGypUqVK6tSpk/71r3/pvvvuO+Pntlq0aKGMjAyVKVNGderUOafXatiwodxut3bt2qUrr7wyoOd++eWXGjBggHr06CHpVHDbsWOH35jw8HCdPHmy0O00aNBAX375pfr37++37YYNGwZUDwDAPghbAADbeuWVV9S2bVtdeumlGjNmjJo2baqQkBB9/fXX+uGHH9SyZUt17NhRbdq0Uffu3TVhwgRdeOGF2rNnj+bOnasePXrkO+2vIJGRkXrooYc0YsQI5eXl6YorrtDBgwf15ZdfKioqyi8A/dEFF1ygmTNn6rrrrpPL5dLjjz+eb6apTp06WrZsmW6++Wa53W5Vrlw533ZGjhyp3r17q3nz5urYsaNmz56tmTNn+l3ZEADgLIQtAIBt1atXT999953+8Y9/aNSoUfrll1/kdrvVsGFDPfTQQxoyZIhcLpc+/fRT/fWvf9Udd9yhX3/9VQkJCWrfvr3i4+OL/Frjx49XlSpVlJqaqp9++kkxMTFq0aKFHnvssUKf9/zzz+vOO+/UX/7yF1WuXFmPPPKIsrOz/caMGzdOgwYNUr169ZSbmytjTL7tdO/eXS+++KKeffZZ3X///UpMTNSUKVPUoUOHIu8DAMBeXKagv/gAAAAAgD+F+2wBAAAAgAUIWwAAAABgAcIWAAAAAFiAsAUAAAAAFiBsAQAAAIAFCFsAAAAAYAHCFgAAAABYgLAFAAAAABYgbAEAAACABQhbAAAAAGABwhYAAAAAWOD/AOYTz/D/0iIUAAAAAElFTkSuQmCC\n"
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              "            &lt;/style&gt;\n",
              "        \n",
              "&lt;/head&gt;\n",
              "&lt;body&gt;\n",
              "    \n",
              "    \n",
              "            &lt;div class=&quot;folium-map&quot; id=&quot;map_e65a8804f567904a46939e42d2c9a46d&quot; &gt;&lt;/div&gt;\n",
              "        \n",
              "&lt;/body&gt;\n",
              "&lt;script&gt;\n",
              "    \n",
              "    \n",
              "            var map_e65a8804f567904a46939e42d2c9a46d = L.map(\n",
              "                &quot;map_e65a8804f567904a46939e42d2c9a46d&quot;,\n",
              "                {\n",
              "                    center: [32.8, -6.0],\n",
              "                    crs: L.CRS.EPSG3857,\n",
              "                    zoom: 6,\n",
              "                    zoomControl: true,\n",
              "                    preferCanvas: false,\n",
              "                }\n",
              "            );\n",
              "\n",
              "            \n",
              "\n",
              "        \n",
              "    \n",
              "            var tile_layer_2c100c957dcd4681493bcb7b6728b826 = L.tileLayer(\n",
              "                &quot;https://tile.openstreetmap.org/{z}/{x}/{y}.png&quot;,\n",
              "                {&quot;attribution&quot;: &quot;\\u0026copy; \\u003ca href=\\&quot;https://www.openstreetmap.org/copyright\\&quot;\\u003eOpenStreetMap\\u003c/a\\u003e contributors&quot;, &quot;detectRetina&quot;: false, &quot;maxNativeZoom&quot;: 19, &quot;maxZoom&quot;: 19, &quot;minZoom&quot;: 0, &quot;noWrap&quot;: false, &quot;opacity&quot;: 1, &quot;subdomains&quot;: &quot;abc&quot;, &quot;tms&quot;: false}\n",
              "            );\n",
              "        \n",
              "    \n",
              "            tile_layer_2c100c957dcd4681493bcb7b6728b826.addTo(map_e65a8804f567904a46939e42d2c9a46d);\n",
              "        \n",
              "    \n",
              "            var circle_marker_2eb2c34e8180d3c6f12ef876220d922d = L.circleMarker(\n",
              "                [34.0181, -5.0078],\n",
              "                {&quot;bubblingMouseEvents&quot;: true, &quot;color&quot;: &quot;red&quot;, &quot;dashArray&quot;: null, &quot;dashOffset&quot;: null, &quot;fill&quot;: true, &quot;fillColor&quot;: &quot;red&quot;, &quot;fillOpacity&quot;: 0.2, &quot;fillRule&quot;: &quot;evenodd&quot;, &quot;lineCap&quot;: &quot;round&quot;, &quot;lineJoin&quot;: &quot;round&quot;, &quot;opacity&quot;: 1.0, &quot;radius&quot;: 6, &quot;stroke&quot;: true, &quot;weight&quot;: 3}\n",
              "            ).addTo(map_e65a8804f567904a46939e42d2c9a46d);\n",
              "        \n",
              "    \n",
              "        var popup_f6aff518216e0b2486c66670df1fce18 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
              "\n",
              "        \n",
              "            \n",
              "                var html_692b50b9586bf8c91ec8583101e53851 = $(`&lt;div id=&quot;html_692b50b9586bf8c91ec8583101e53851&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;Fes&lt;/div&gt;`)[0];\n",
              "                popup_f6aff518216e0b2486c66670df1fce18.setContent(html_692b50b9586bf8c91ec8583101e53851);\n",
              "            \n",
              "        \n",
              "\n",
              "        circle_marker_2eb2c34e8180d3c6f12ef876220d922d.bindPopup(popup_f6aff518216e0b2486c66670df1fce18)\n",
              "        ;\n",
              "\n",
              "        \n",
              "    \n",
              "    \n",
              "            var circle_marker_1b2b1efd1b7ebd620274eb6fd6ecc546 = L.circleMarker(\n",
              "                [33.8935, -5.5547],\n",
              "                {&quot;bubblingMouseEvents&quot;: true, &quot;color&quot;: &quot;red&quot;, &quot;dashArray&quot;: null, &quot;dashOffset&quot;: null, &quot;fill&quot;: true, &quot;fillColor&quot;: &quot;red&quot;, &quot;fillOpacity&quot;: 0.2, &quot;fillRule&quot;: &quot;evenodd&quot;, &quot;lineCap&quot;: &quot;round&quot;, &quot;lineJoin&quot;: &quot;round&quot;, &quot;opacity&quot;: 1.0, &quot;radius&quot;: 6, &quot;stroke&quot;: true, &quot;weight&quot;: 3}\n",
              "            ).addTo(map_e65a8804f567904a46939e42d2c9a46d);\n",
              "        \n",
              "    \n",
              "        var popup_fb25928ccbe32e02c9a79cc3dd6549db = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
              "\n",
              "        \n",
              "            \n",
              "                var html_9439619edc8962c8e307b27d37b72613 = $(`&lt;div id=&quot;html_9439619edc8962c8e307b27d37b72613&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;Meknes&lt;/div&gt;`)[0];\n",
              "                popup_fb25928ccbe32e02c9a79cc3dd6549db.setContent(html_9439619edc8962c8e307b27d37b72613);\n",
              "            \n",
              "        \n",
              "\n",
              "        circle_marker_1b2b1efd1b7ebd620274eb6fd6ecc546.bindPopup(popup_fb25928ccbe32e02c9a79cc3dd6549db)\n",
              "        ;\n",
              "\n",
              "        \n",
              "    \n",
              "    \n",
              "            var circle_marker_00a0c164600c13c6b207f628d37a823d = L.circleMarker(\n",
              "                [31.6295, -7.9811],\n",
              "                {&quot;bubblingMouseEvents&quot;: true, &quot;color&quot;: &quot;red&quot;, &quot;dashArray&quot;: null, &quot;dashOffset&quot;: null, &quot;fill&quot;: true, &quot;fillColor&quot;: &quot;red&quot;, &quot;fillOpacity&quot;: 0.2, &quot;fillRule&quot;: &quot;evenodd&quot;, &quot;lineCap&quot;: &quot;round&quot;, &quot;lineJoin&quot;: &quot;round&quot;, &quot;opacity&quot;: 1.0, &quot;radius&quot;: 6, &quot;stroke&quot;: true, &quot;weight&quot;: 3}\n",
              "            ).addTo(map_e65a8804f567904a46939e42d2c9a46d);\n",
              "        \n",
              "    \n",
              "        var popup_0b3d2ef760e6547f34b12abc2130ffc0 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
              "\n",
              "        \n",
              "            \n",
              "                var html_54961df50f25b4d783703c19951ab510 = $(`&lt;div id=&quot;html_54961df50f25b4d783703c19951ab510&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;Marrakech&lt;/div&gt;`)[0];\n",
              "                popup_0b3d2ef760e6547f34b12abc2130ffc0.setContent(html_54961df50f25b4d783703c19951ab510);\n",
              "            \n",
              "        \n",
              "\n",
              "        circle_marker_00a0c164600c13c6b207f628d37a823d.bindPopup(popup_0b3d2ef760e6547f34b12abc2130ffc0)\n",
              "        ;\n",
              "\n",
              "        \n",
              "    \n",
              "    \n",
              "            var circle_marker_b8d91a7e9c57ae1f96d1f060caf3dcca = L.circleMarker(\n",
              "                [30.4278, -9.5981],\n",
              "                {&quot;bubblingMouseEvents&quot;: true, &quot;color&quot;: &quot;red&quot;, &quot;dashArray&quot;: null, &quot;dashOffset&quot;: null, &quot;fill&quot;: true, &quot;fillColor&quot;: &quot;red&quot;, &quot;fillOpacity&quot;: 0.2, &quot;fillRule&quot;: &quot;evenodd&quot;, &quot;lineCap&quot;: &quot;round&quot;, &quot;lineJoin&quot;: &quot;round&quot;, &quot;opacity&quot;: 1.0, &quot;radius&quot;: 6, &quot;stroke&quot;: true, &quot;weight&quot;: 3}\n",
              "            ).addTo(map_e65a8804f567904a46939e42d2c9a46d);\n",
              "        \n",
              "    \n",
              "        var popup_c15596e8549dbc5e54b98c38c2337076 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
              "\n",
              "        \n",
              "            \n",
              "                var html_0115503d095f2a4c53eb54f90168ad33 = $(`&lt;div id=&quot;html_0115503d095f2a4c53eb54f90168ad33&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;Agadir&lt;/div&gt;`)[0];\n",
              "                popup_c15596e8549dbc5e54b98c38c2337076.setContent(html_0115503d095f2a4c53eb54f90168ad33);\n",
              "            \n",
              "        \n",
              "\n",
              "        circle_marker_b8d91a7e9c57ae1f96d1f060caf3dcca.bindPopup(popup_c15596e8549dbc5e54b98c38c2337076)\n",
              "        ;\n",
              "\n",
              "        \n",
              "    \n",
              "    \n",
              "            var circle_marker_e829b78a71fe8cc693bf52f444e05c67 = L.circleMarker(\n",
              "                [33.5731, -7.5898],\n",
              "                {&quot;bubblingMouseEvents&quot;: true, &quot;color&quot;: &quot;red&quot;, &quot;dashArray&quot;: null, &quot;dashOffset&quot;: null, &quot;fill&quot;: true, &quot;fillColor&quot;: &quot;red&quot;, &quot;fillOpacity&quot;: 0.2, &quot;fillRule&quot;: &quot;evenodd&quot;, &quot;lineCap&quot;: &quot;round&quot;, &quot;lineJoin&quot;: &quot;round&quot;, &quot;opacity&quot;: 1.0, &quot;radius&quot;: 6, &quot;stroke&quot;: true, &quot;weight&quot;: 3}\n",
              "            ).addTo(map_e65a8804f567904a46939e42d2c9a46d);\n",
              "        \n",
              "    \n",
              "        var popup_013426d84b168b7d7f9d28a5a3fb72d4 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
              "\n",
              "        \n",
              "            \n",
              "                var html_c4026694d603288adb0ed38b83ad465a = $(`&lt;div id=&quot;html_c4026694d603288adb0ed38b83ad465a&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;Casablanca&lt;/div&gt;`)[0];\n",
              "                popup_013426d84b168b7d7f9d28a5a3fb72d4.setContent(html_c4026694d603288adb0ed38b83ad465a);\n",
              "            \n",
              "        \n",
              "\n",
              "        circle_marker_e829b78a71fe8cc693bf52f444e05c67.bindPopup(popup_013426d84b168b7d7f9d28a5a3fb72d4)\n",
              "        ;\n",
              "\n",
              "        \n",
              "    \n",
              "    \n",
              "            var circle_marker_e15600ff23715da1ef6ad84106a492dd = L.circleMarker(\n",
              "                [34.0209, -6.8416],\n",
              "                {&quot;bubblingMouseEvents&quot;: true, &quot;color&quot;: &quot;red&quot;, &quot;dashArray&quot;: null, &quot;dashOffset&quot;: null, &quot;fill&quot;: true, &quot;fillColor&quot;: &quot;red&quot;, &quot;fillOpacity&quot;: 0.2, &quot;fillRule&quot;: &quot;evenodd&quot;, &quot;lineCap&quot;: &quot;round&quot;, &quot;lineJoin&quot;: &quot;round&quot;, &quot;opacity&quot;: 1.0, &quot;radius&quot;: 6, &quot;stroke&quot;: true, &quot;weight&quot;: 3}\n",
              "            ).addTo(map_e65a8804f567904a46939e42d2c9a46d);\n",
              "        \n",
              "    \n",
              "        var popup_4f0ab60a4af9e4dba4c60f658f252a43 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
              "\n",
              "        \n",
              "            \n",
              "                var html_eb4c9720871d876804bd1d8c6a6e07ee = $(`&lt;div id=&quot;html_eb4c9720871d876804bd1d8c6a6e07ee&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;Rabat&lt;/div&gt;`)[0];\n",
              "                popup_4f0ab60a4af9e4dba4c60f658f252a43.setContent(html_eb4c9720871d876804bd1d8c6a6e07ee);\n",
              "            \n",
              "        \n",
              "\n",
              "        circle_marker_e15600ff23715da1ef6ad84106a492dd.bindPopup(popup_4f0ab60a4af9e4dba4c60f658f252a43)\n",
              "        ;\n",
              "\n",
              "        \n",
              "    \n",
              "    \n",
              "            var circle_marker_16a23bf31bc17930c05055e03fe708a4 = L.circleMarker(\n",
              "                [34.261, -6.5802],\n",
              "                {&quot;bubblingMouseEvents&quot;: true, &quot;color&quot;: &quot;red&quot;, &quot;dashArray&quot;: null, &quot;dashOffset&quot;: null, &quot;fill&quot;: true, &quot;fillColor&quot;: &quot;red&quot;, &quot;fillOpacity&quot;: 0.2, &quot;fillRule&quot;: &quot;evenodd&quot;, &quot;lineCap&quot;: &quot;round&quot;, &quot;lineJoin&quot;: &quot;round&quot;, &quot;opacity&quot;: 1.0, &quot;radius&quot;: 6, &quot;stroke&quot;: true, &quot;weight&quot;: 3}\n",
              "            ).addTo(map_e65a8804f567904a46939e42d2c9a46d);\n",
              "        \n",
              "    \n",
              "        var popup_04ad34efcbd39a09f9211c7b9cdd5dee = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
              "\n",
              "        \n",
              "            \n",
              "                var html_36877205f9d951d1ccde303b24884c8e = $(`&lt;div id=&quot;html_36877205f9d951d1ccde303b24884c8e&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;Kenitra&lt;/div&gt;`)[0];\n",
              "                popup_04ad34efcbd39a09f9211c7b9cdd5dee.setContent(html_36877205f9d951d1ccde303b24884c8e);\n",
              "            \n",
              "        \n",
              "\n",
              "        circle_marker_16a23bf31bc17930c05055e03fe708a4.bindPopup(popup_04ad34efcbd39a09f9211c7b9cdd5dee)\n",
              "        ;\n",
              "\n",
              "        \n",
              "    \n",
              "    \n",
              "            var circle_marker_47463d69ef24ac4a97267b07e0742980 = L.circleMarker(\n",
              "                [35.7595, -5.834],\n",
              "                {&quot;bubblingMouseEvents&quot;: true, &quot;color&quot;: &quot;red&quot;, &quot;dashArray&quot;: null, &quot;dashOffset&quot;: null, &quot;fill&quot;: true, &quot;fillColor&quot;: &quot;red&quot;, &quot;fillOpacity&quot;: 0.2, &quot;fillRule&quot;: &quot;evenodd&quot;, &quot;lineCap&quot;: &quot;round&quot;, &quot;lineJoin&quot;: &quot;round&quot;, &quot;opacity&quot;: 1.0, &quot;radius&quot;: 6, &quot;stroke&quot;: true, &quot;weight&quot;: 3}\n",
              "            ).addTo(map_e65a8804f567904a46939e42d2c9a46d);\n",
              "        \n",
              "    \n",
              "        var popup_ef7ad2c6ac98423ddb9333c0d24e43a4 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
              "\n",
              "        \n",
              "            \n",
              "                var html_c02332250402a1ad1289d8084f5dd0f2 = $(`&lt;div id=&quot;html_c02332250402a1ad1289d8084f5dd0f2&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;Tangier&lt;/div&gt;`)[0];\n",
              "                popup_ef7ad2c6ac98423ddb9333c0d24e43a4.setContent(html_c02332250402a1ad1289d8084f5dd0f2);\n",
              "            \n",
              "        \n",
              "\n",
              "        circle_marker_47463d69ef24ac4a97267b07e0742980.bindPopup(popup_ef7ad2c6ac98423ddb9333c0d24e43a4)\n",
              "        ;\n",
              "\n",
              "        \n",
              "    \n",
              "    \n",
              "            var circle_marker_56e47aad18a89377d4afecccdc690baf = L.circleMarker(\n",
              "                [35.5889, -5.3626],\n",
              "                {&quot;bubblingMouseEvents&quot;: true, &quot;color&quot;: &quot;red&quot;, &quot;dashArray&quot;: null, &quot;dashOffset&quot;: null, &quot;fill&quot;: true, &quot;fillColor&quot;: &quot;red&quot;, &quot;fillOpacity&quot;: 0.2, &quot;fillRule&quot;: &quot;evenodd&quot;, &quot;lineCap&quot;: &quot;round&quot;, &quot;lineJoin&quot;: &quot;round&quot;, &quot;opacity&quot;: 1.0, &quot;radius&quot;: 6, &quot;stroke&quot;: true, &quot;weight&quot;: 3}\n",
              "            ).addTo(map_e65a8804f567904a46939e42d2c9a46d);\n",
              "        \n",
              "    \n",
              "        var popup_6006b523d26d5481e7553d21a26dcbbb = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
              "\n",
              "        \n",
              "            \n",
              "                var html_2a73d3fb3f9636fc81f47817989974b1 = $(`&lt;div id=&quot;html_2a73d3fb3f9636fc81f47817989974b1&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;Tetouan&lt;/div&gt;`)[0];\n",
              "                popup_6006b523d26d5481e7553d21a26dcbbb.setContent(html_2a73d3fb3f9636fc81f47817989974b1);\n",
              "            \n",
              "        \n",
              "\n",
              "        circle_marker_56e47aad18a89377d4afecccdc690baf.bindPopup(popup_6006b523d26d5481e7553d21a26dcbbb)\n",
              "        ;\n",
              "\n",
              "        \n",
              "    \n",
              "    \n",
              "            var circle_marker_a3719b35d033ecfb76ce6143d0dd7b33 = L.circleMarker(\n",
              "                [34.6867, -1.9114],\n",
              "                {&quot;bubblingMouseEvents&quot;: true, &quot;color&quot;: &quot;red&quot;, &quot;dashArray&quot;: null, &quot;dashOffset&quot;: null, &quot;fill&quot;: true, &quot;fillColor&quot;: &quot;red&quot;, &quot;fillOpacity&quot;: 0.2, &quot;fillRule&quot;: &quot;evenodd&quot;, &quot;lineCap&quot;: &quot;round&quot;, &quot;lineJoin&quot;: &quot;round&quot;, &quot;opacity&quot;: 1.0, &quot;radius&quot;: 6, &quot;stroke&quot;: true, &quot;weight&quot;: 3}\n",
              "            ).addTo(map_e65a8804f567904a46939e42d2c9a46d);\n",
              "        \n",
              "    \n",
              "        var popup_f3e47d45c356efd99ffa52325380deb8 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
              "\n",
              "        \n",
              "            \n",
              "                var html_89c11b02a126bf61faeb3bd8945cf6bc = $(`&lt;div id=&quot;html_89c11b02a126bf61faeb3bd8945cf6bc&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;Oujda&lt;/div&gt;`)[0];\n",
              "                popup_f3e47d45c356efd99ffa52325380deb8.setContent(html_89c11b02a126bf61faeb3bd8945cf6bc);\n",
              "            \n",
              "        \n",
              "\n",
              "        circle_marker_a3719b35d033ecfb76ce6143d0dd7b33.bindPopup(popup_f3e47d45c356efd99ffa52325380deb8)\n",
              "        ;\n",
              "\n",
              "        \n",
              "    \n",
              "    \n",
              "            var poly_line_f8eaa2f7fef06f748ca6c027084e0cf3 = L.polyline(\n",
              "                [[34.0181, -5.0078], [33.8935, -5.5547], [31.6295, -7.9811], [30.4278, -9.5981], [33.5731, -7.5898], [34.0209, -6.8416], [34.261, -6.5802], [35.7595, -5.834], [35.5889, -5.3626], [34.6867, -1.9114], [34.0181, -5.0078]],\n",
              "                {&quot;bubblingMouseEvents&quot;: true, &quot;color&quot;: &quot;blue&quot;, &quot;dashArray&quot;: null, &quot;dashOffset&quot;: null, &quot;fill&quot;: false, &quot;fillColor&quot;: &quot;blue&quot;, &quot;fillOpacity&quot;: 0.2, &quot;fillRule&quot;: &quot;evenodd&quot;, &quot;lineCap&quot;: &quot;round&quot;, &quot;lineJoin&quot;: &quot;round&quot;, &quot;noClip&quot;: false, &quot;opacity&quot;: 0.8, &quot;smoothFactor&quot;: 1.0, &quot;stroke&quot;: true, &quot;weight&quot;: 2}\n",
              "            ).addTo(map_e65a8804f567904a46939e42d2c9a46d);\n",
              "        \n",
              "&lt;/script&gt;\n",
              "&lt;/html&gt;\" style=\"position:absolute;width:100%;height:100%;left:0;top:0;border:none !important;\" allowfullscreen webkitallowfullscreen mozallowfullscreen></iframe></div></div>"
            ]
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "Best Route Found:\n",
            "Fes -> Meknes -> Marrakech -> Agadir -> Casablanca -> Rabat -> Kenitra -> Tangier -> Tetouan -> Oujda\n",
            "Total Distance: 1963.77 km\n"
          ]
        }
      ]
    }
  ]
}