{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "9f9e7657",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1200x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "import matplotlib.patches as mpatches\n",
    "import numpy as np\n",
    "\n",
    "def plot_flowshop_gantt(T, schedule):\n",
    "    \"\"\"\n",
    "    Plots a Gantt chart for a Permutation Flow Shop scheduling problem,\n",
    "    including the Makespan (Termination Time).\n",
    "    \n",
    "    Parameters:\n",
    "    - T: Matrix where T[i,j] is the processing time of job i on machine j.\n",
    "    - schedule: A list/tuple indicating the order of jobs (e.g., [0, 2, 1]).\n",
    "    \"\"\"\n",
    "    \n",
    "    T = np.array(T)\n",
    "    num_jobs, num_machines = T.shape\n",
    "    \n",
    "    # Organize data structures to store start and end times\n",
    "    start_times = np.zeros((num_jobs, num_machines))\n",
    "    end_times = np.zeros((num_jobs, num_machines))\n",
    "    \n",
    "    # --- 1. Scheduling Logic (Calculate Times) ---\n",
    "    machine_avail_time = np.zeros(num_machines)\n",
    "    job_avail_time = np.zeros(num_jobs)\n",
    "\n",
    "    for job_idx in schedule:\n",
    "        for machine_idx in range(num_machines):\n",
    "            # A job can start only when:\n",
    "            # A) The machine is free AND B) The job has finished on the previous machine\n",
    "            start_t = max(machine_avail_time[machine_idx], job_avail_time[job_idx])\n",
    "            \n",
    "            duration = T[job_idx, machine_idx]\n",
    "            end_t = start_t + duration\n",
    "            \n",
    "            start_times[job_idx, machine_idx] = start_t\n",
    "            end_times[job_idx, machine_idx] = end_t\n",
    "            \n",
    "            machine_avail_time[machine_idx] = end_t\n",
    "            job_avail_time[job_idx] = end_t\n",
    "\n",
    "    # CALCULATE MAKESPAN\n",
    "    makespan = np.max(end_times)\n",
    "\n",
    "    # --- 2. Visualization (Gantt Chart) ---\n",
    "    fig, ax = plt.subplots(figsize=(12, 6))\n",
    "    \n",
    "    # Colors for machines\n",
    "    colors = plt.cm.tab10(np.linspace(0, 1, num_machines))\n",
    "    \n",
    "    # Plot \"Working\" bars\n",
    "    for job_idx in range(num_jobs):\n",
    "        for machine_idx in range(num_machines):\n",
    "            start = start_times[job_idx, machine_idx]\n",
    "            duration = T[job_idx, machine_idx]\n",
    "            \n",
    "            if duration > 0:\n",
    "                ax.barh(\n",
    "                    y=job_idx, \n",
    "                    width=duration, \n",
    "                    left=start, \n",
    "                    height=0.5, \n",
    "                    color=colors[machine_idx], \n",
    "                    edgecolor='black',\n",
    "                    align='center'\n",
    "                )\n",
    "                # Label inside the bar\n",
    "                ax.text(\n",
    "                    start + duration/2, \n",
    "                    job_idx, \n",
    "                    f\"M{machine_idx}\", \n",
    "                    ha='center', va='center', color='white', fontweight='bold', fontsize=9\n",
    "                )\n",
    "    \n",
    "    # Plot \"Waiting\" times (gaps)\n",
    "    for job_idx in range(num_jobs):\n",
    "        # Gap before first machine\n",
    "        if start_times[job_idx, 0] > 0:\n",
    "             ax.barh(job_idx, start_times[job_idx, 0], left=0, height=0.2, color='lightgray', hatch='///')\n",
    "\n",
    "        # Gaps between machines\n",
    "        for m in range(num_machines - 1):\n",
    "            finish_prev = end_times[job_idx, m]\n",
    "            start_next = start_times[job_idx, m+1]\n",
    "            if start_next > finish_prev:\n",
    "                ax.barh(\n",
    "                    y=job_idx, \n",
    "                    width=start_next - finish_prev, \n",
    "                    left=finish_prev, \n",
    "                    height=0.2, \n",
    "                    color='lightgray', \n",
    "                    hatch='///',\n",
    "                    align='center'\n",
    "                )\n",
    "\n",
    "    # --- 3. Add Makespan Line and Label ---\n",
    "    # Draw vertical line\n",
    "    ax.axvline(x=makespan, color='red', linestyle='--', linewidth=2, zorder=5)\n",
    "    \n",
    "    # Add text annotation near the top\n",
    "    ax.text(\n",
    "        makespan, \n",
    "        num_jobs - 0.5, \n",
    "        f' Makespan: {makespan}', \n",
    "        color='red', \n",
    "        fontweight='bold', \n",
    "        va='bottom'\n",
    "    )\n",
    "\n",
    "    # Force the X-axis to include the exact Makespan value as a tick\n",
    "    current_xticks = list(ax.get_xticks())\n",
    "    # Add makespan to ticks if not too close to existing ones\n",
    "    if not any(abs(x - makespan) < 0.5 for x in current_xticks):\n",
    "        current_xticks.append(makespan)\n",
    "        current_xticks.sort()\n",
    "        # Filter out ticks that are way out of range (optional cleanup)\n",
    "        current_xticks = [x for x in current_xticks if x >= 0 and x <= makespan * 1.1]\n",
    "        ax.set_xticks(current_xticks)\n",
    "\n",
    "    # Formatting\n",
    "    ax.set_yticks(range(num_jobs))\n",
    "    ax.set_yticklabels([f\"Job {i}\" for i in range(num_jobs)])\n",
    "    ax.set_xlabel(\"Time\")\n",
    "    ax.set_ylabel(\"Jobs\")\n",
    "    ax.set_title(f\"Flow Shop Schedule: {schedule} | Total Makespan: {makespan}\")\n",
    "    ax.grid(axis='x', linestyle='--', alpha=0.5)\n",
    "    \n",
    "    # Legend\n",
    "    patches = [mpatches.Patch(color=colors[i], label=f'Machine {i}') for i in range(num_machines)]\n",
    "    patches.append(mpatches.Patch(facecolor='lightgray', hatch='///', label='Waiting'))\n",
    "    patches.append(plt.Line2D([0], [0], color='red', linestyle='--', label='Makespan'))\n",
    "    ax.legend(handles=patches, loc='upper left') # Moved legend to avoid covering makespan text\n",
    "\n",
    "    plt.tight_layout()\n",
    "    plt.show()\n",
    "\n",
    "# --- Example Usage ---\n",
    "T_matrix = [\n",
    "    [2, 1, 4], \n",
    "    [3, 2, 1], \n",
    "    [1, 3, 3]\n",
    "]\n",
    "job_schedule = (1, 2, 0)\n",
    "\n",
    "plot_flowshop_gantt(T_matrix, job_schedule)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "6ca84c79",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1200x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "import matplotlib.patches as mpatches\n",
    "import numpy as np\n",
    "\n",
    "def plot_flowshop_gantt(T, schedule):\n",
    "    \"\"\"\n",
    "    Plots a Gantt chart for a Permutation Flow Shop scheduling problem,\n",
    "    including completion lines for all jobs and the total Makespan.\n",
    "    \n",
    "    Parameters:\n",
    "    - T: Matrix where T[i,j] is the processing time of job i on machine j.\n",
    "    - schedule: A list/tuple indicating the order of jobs (e.g., [0, 2, 1]).\n",
    "    \"\"\"\n",
    "    \n",
    "    T = np.array(T)\n",
    "    num_jobs, num_machines = T.shape\n",
    "    \n",
    "    # Organize data structures to store start and end times\n",
    "    start_times = np.zeros((num_jobs, num_machines))\n",
    "    end_times = np.zeros((num_jobs, num_machines))\n",
    "    \n",
    "    # --- 1. Scheduling Logic (Calculate Times) ---\n",
    "    machine_avail_time = np.zeros(num_machines)\n",
    "    job_avail_time = np.zeros(num_jobs)\n",
    "\n",
    "    for job_idx in schedule:\n",
    "        for machine_idx in range(num_machines):\n",
    "            start_t = max(machine_avail_time[machine_idx], job_avail_time[job_idx])\n",
    "            duration = T[job_idx, machine_idx]\n",
    "            end_t = start_t + duration\n",
    "            \n",
    "            start_times[job_idx, machine_idx] = start_t\n",
    "            end_times[job_idx, machine_idx] = end_t\n",
    "            \n",
    "            machine_avail_time[machine_idx] = end_t\n",
    "            job_avail_time[job_idx] = end_t\n",
    "\n",
    "    # --- 2. Visualization (Gantt Chart) ---\n",
    "    fig, ax = plt.subplots(figsize=(12, 6))\n",
    "    colors = plt.cm.tab10(np.linspace(0, 1, num_machines))\n",
    "    \n",
    "    # Plot \"Working\" bars\n",
    "    for job_idx in range(num_jobs):\n",
    "        for machine_idx in range(num_machines):\n",
    "            start = start_times[job_idx, machine_idx]\n",
    "            duration = T[job_idx, machine_idx]\n",
    "            \n",
    "            if duration > 0:\n",
    "                ax.barh(\n",
    "                    y=job_idx, width=duration, left=start, height=0.5, \n",
    "                    color=colors[machine_idx], edgecolor='black', align='center'\n",
    "                )\n",
    "                ax.text(\n",
    "                    start + duration/2, job_idx, f\"M{machine_idx}\", \n",
    "                    ha='center', va='center', color='white', fontweight='bold', fontsize=9\n",
    "                )\n",
    "    \n",
    "    # Plot \"Waiting\" times (gaps)\n",
    "    for job_idx in range(num_jobs):\n",
    "        if start_times[job_idx, 0] > 0:\n",
    "             ax.barh(job_idx, start_times[job_idx, 0], left=0, height=0.2, color='lightgray', hatch='///')\n",
    "\n",
    "        for m in range(num_machines - 1):\n",
    "            finish_prev = end_times[job_idx, m]\n",
    "            start_next = start_times[job_idx, m+1]\n",
    "            if start_next > finish_prev:\n",
    "                ax.barh(\n",
    "                    y=job_idx, width=start_next - finish_prev, left=finish_prev, \n",
    "                    height=0.2, color='lightgray', hatch='///', align='center'\n",
    "                )\n",
    "\n",
    "    # --- 3. Add Completion Lines for EVERY Job ---\n",
    "    completion_times = []\n",
    "    \n",
    "    for job_idx in range(num_jobs):\n",
    "        # The completion time for a job is its end time on the last machine\n",
    "        c_t = end_times[job_idx, num_machines - 1]\n",
    "        completion_times.append(c_t)\n",
    "        \n",
    "        # Draw the vertical dashed line\n",
    "        ax.axvline(x=c_t, color='red', linestyle='--', linewidth=1.5, alpha=0.7, zorder=5)\n",
    "        \n",
    "        # Add a small label right above the specific job's bar\n",
    "        ax.text(\n",
    "            c_t, job_idx + 0.25, f' C{job_idx}={c_t}', \n",
    "            color='red', fontweight='bold', va='bottom', fontsize=9\n",
    "        )\n",
    "\n",
    "    # Calculate overall Makespan (the absolute maximum completion time)\n",
    "    makespan = max(completion_times)\n",
    "    \n",
    "    # Top label explicitly calling out the MakeSpan\n",
    "    ax.text(\n",
    "        makespan, num_jobs - 0.5, f' Makespan: {makespan}', \n",
    "        color='darkred', fontweight='bold', va='bottom', fontsize=11\n",
    "    )\n",
    "\n",
    "    # Update X-axis ticks to include all completion times\n",
    "    current_xticks = list(ax.get_xticks())\n",
    "    for c_t in completion_times:\n",
    "        if not any(abs(x - c_t) < 0.5 for x in current_xticks):\n",
    "            current_xticks.append(c_t)\n",
    "            \n",
    "    current_xticks.sort()\n",
    "    current_xticks = [x for x in current_xticks if 0 <= x <= makespan * 1.1]\n",
    "    ax.set_xticks(current_xticks)\n",
    "\n",
    "    # Formatting\n",
    "    ax.set_yticks(range(num_jobs))\n",
    "    ax.set_yticklabels([f\"Job {i}\" for i in range(num_jobs)])\n",
    "    ax.set_xlabel(\"Time\")\n",
    "    ax.set_ylabel(\"Jobs\")\n",
    "    ax.set_title(f\"Flow Shop Schedule: {schedule} | Total Makespan: {makespan}\")\n",
    "    ax.grid(axis='x', linestyle=':', alpha=0.6)\n",
    "    \n",
    "    # Legend\n",
    "    patches = [mpatches.Patch(color=colors[i], label=f'Machine {i}') for i in range(num_machines)]\n",
    "    patches.append(mpatches.Patch(facecolor='lightgray', hatch='///', label='Waiting'))\n",
    "    patches.append(plt.Line2D([0], [0], color='red', linestyle='--', label='Job Completion'))\n",
    "    ax.legend(handles=patches, loc='upper left') \n",
    "\n",
    "    plt.tight_layout()\n",
    "    plt.show()\n",
    "\n",
    "# --- Example Usage ---\n",
    "T_matrix = [\n",
    "    [2, 5, 7], \n",
    "    [12, 3, 8], \n",
    "    [5, 20, 4]\n",
    "]\n",
    "job_schedule = (0,2,1)\n",
    "\n",
    "plot_flowshop_gantt(T_matrix, job_schedule)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "3b0234a9",
   "metadata": {},
   "outputs": [],
   "source": [
    "def evaluate_makespan(pfsp_instance, schedule):\n",
    "    \"\"\"\n",
    "    Evaluates the makespan (completion time) of a given schedule for a given pfsp_instance.\n",
    "    Parameters:\n",
    "    - pfsp_instance: A list of lists, where pfsp_instance[i][j] is the processing time of job i on machine j.\n",
    "    - schedule: A list/tuple indicating the order of jobs (e.g., [0, 2, 1]).\n",
    "    Returns:\n",
    "    - The makespan (total completion time) for the given schedule.\n",
    "    \"\"\"\n",
    "\n",
    "    def cumulate(job: list, previous_cumul=None):\n",
    "        # Calculate the cumulative completion times for a job\n",
    "\n",
    "        res = [0] * len(job)\n",
    "        if previous_cumul == None:\n",
    "            res[0] = job[0]\n",
    "            for i in range(1, len(job)):\n",
    "                res[i] = res[i - 1] + job[i]\n",
    "        else:\n",
    "            res[0] = previous_cumul[0] + job[0]\n",
    "            for i in range(1, len(job)):\n",
    "                res[i] = max(res[i - 1], previous_cumul[i]) + job[i]\n",
    "        return res\n",
    "\n",
    "    def cumulate_seq(pfsp_instance: list, schedule: list):\n",
    "        # Calculates the cumulative time for a sequence of jobs on machines.\n",
    "        cumulates = [0] * len(pfsp_instance)\n",
    "        cumulated = None\n",
    "        for j, i in enumerate(schedule):\n",
    "            cumulated = cumulate(pfsp_instance[i], cumulated)\n",
    "            cumulates[j] = cumulated[-1]\n",
    "        return cumulates\n",
    "\n",
    "    cumulates = cumulate_seq(pfsp_instance, schedule)\n",
    "    return cumulates"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "ff50abc0",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[14, 31, 39]"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "evaluate_makespan(T_matrix, job_schedule)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "43cb99ad",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1200x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "import matplotlib.patches as mpatches\n",
    "import numpy as np\n",
    "\n",
    "def plot_flowshop_gantt(T, schedule):\n",
    "    \"\"\"\n",
    "    Plots a Gantt chart for a Permutation Flow Shop scheduling problem,\n",
    "    including completion lines and a custom yellow-orange-red color palette.\n",
    "    \n",
    "    Parameters:\n",
    "    - T: Matrix where T[i,j] is the processing time of job i on machine j.\n",
    "    - schedule: A list/tuple indicating the order of jobs (e.g., [0, 2, 1]).\n",
    "    \"\"\"\n",
    "    \n",
    "    T = np.array(T)\n",
    "    num_jobs, num_machines = T.shape\n",
    "    \n",
    "    # Organize data structures to store start and end times\n",
    "    start_times = np.zeros((num_jobs, num_machines))\n",
    "    end_times = np.zeros((num_jobs, num_machines))\n",
    "    \n",
    "    # --- 1. Scheduling Logic (Calculate Times) ---\n",
    "    machine_avail_time = np.zeros(num_machines)\n",
    "    job_avail_time = np.zeros(num_jobs)\n",
    "\n",
    "    for job_idx in schedule:\n",
    "        for machine_idx in range(num_machines):\n",
    "            start_t = max(machine_avail_time[machine_idx], job_avail_time[job_idx])\n",
    "            duration = T[job_idx, machine_idx]\n",
    "            end_t = start_t + duration\n",
    "            \n",
    "            start_times[job_idx, machine_idx] = start_t\n",
    "            end_times[job_idx, machine_idx] = end_t\n",
    "            \n",
    "            machine_avail_time[machine_idx] = end_t\n",
    "            job_avail_time[job_idx] = end_t\n",
    "\n",
    "    # --- 2. Visualization (Gantt Chart) ---\n",
    "    fig, ax = plt.subplots(figsize=(12, 6))\n",
    "    \n",
    "    # --- NEW: Changed Colormap to YlOrRd ---\n",
    "    # We use linspace from 0.3 to 0.9 so the yellow isn't too faint on a white background\n",
    "    colors = plt.cm.YlOrRd(np.linspace(0.3, 0.9, num_machines))\n",
    "    \n",
    "    # Plot \"Working\" bars\n",
    "    for job_idx in range(num_jobs):\n",
    "        for machine_idx in range(num_machines):\n",
    "            start = start_times[job_idx, machine_idx]\n",
    "            duration = T[job_idx, machine_idx]\n",
    "            \n",
    "            if duration > 0:\n",
    "                ax.barh(\n",
    "                    y=job_idx, width=duration, left=start, height=0.5, \n",
    "                    color=colors[machine_idx], edgecolor='black', align='center'\n",
    "                )\n",
    "                # Changed text color to black for better contrast against lighter warm colors\n",
    "                ax.text(\n",
    "                    start + duration/2, job_idx, f\"M{machine_idx}\", \n",
    "                    ha='center', va='center', color='black', fontweight='bold', fontsize=9\n",
    "                )\n",
    "    \n",
    "    # Plot \"Waiting\" times (gaps)\n",
    "    for job_idx in range(num_jobs):\n",
    "        if start_times[job_idx, 0] > 0:\n",
    "             ax.barh(job_idx, start_times[job_idx, 0], left=0, height=0.2, color='lightgray', hatch='///')\n",
    "\n",
    "        for m in range(num_machines - 1):\n",
    "            finish_prev = end_times[job_idx, m]\n",
    "            start_next = start_times[job_idx, m+1]\n",
    "            if start_next > finish_prev:\n",
    "                ax.barh(\n",
    "                    y=job_idx, width=start_next - finish_prev, left=finish_prev, \n",
    "                    height=0.2, color='lightgray', hatch='///', align='center'\n",
    "                )\n",
    "\n",
    "    # --- 3. Add Completion Lines for EVERY Job ---\n",
    "    completion_times = []\n",
    "    \n",
    "    for job_idx in range(num_jobs):\n",
    "        c_t = end_times[job_idx, num_machines - 1]\n",
    "        completion_times.append(c_t)\n",
    "        \n",
    "        # Changed the line color to black to stand out against the red/orange bars\n",
    "        ax.axvline(x=c_t, color='black', linestyle='--', linewidth=1.5, alpha=0.7, zorder=5)\n",
    "        \n",
    "        ax.text(\n",
    "            c_t, job_idx + 0.25, f' C{job_idx}={c_t}', \n",
    "            color='black', fontweight='bold', va='bottom', fontsize=9\n",
    "        )\n",
    "\n",
    "    # Calculate overall Makespan\n",
    "    makespan = max(completion_times)\n",
    "    \n",
    "    ax.text(\n",
    "        makespan, num_jobs - 0.5, f' Makespan: {makespan}', \n",
    "        color='black', fontweight='bold', va='bottom', fontsize=11\n",
    "    )\n",
    "\n",
    "    # Update X-axis ticks\n",
    "    current_xticks = list(ax.get_xticks())\n",
    "    for c_t in completion_times:\n",
    "        if not any(abs(x - c_t) < 0.5 for x in current_xticks):\n",
    "            current_xticks.append(c_t)\n",
    "            \n",
    "    current_xticks.sort()\n",
    "    current_xticks = [x for x in current_xticks if 0 <= x <= makespan * 1.1]\n",
    "    ax.set_xticks(current_xticks)\n",
    "\n",
    "    # Formatting\n",
    "    ax.set_yticks(range(num_jobs))\n",
    "    ax.set_yticklabels([f\"Job {i}\" for i in range(num_jobs)])\n",
    "    ax.set_xlabel(\"Time\")\n",
    "    ax.set_ylabel(\"Jobs\")\n",
    "    ax.set_title(f\"Flow Shop Schedule: {schedule} | Total Makespan: {makespan}\")\n",
    "    ax.grid(axis='x', linestyle=':', alpha=0.6)\n",
    "    \n",
    "    # Legend\n",
    "    patches = [mpatches.Patch(color=colors[i], label=f'Machine {i}') for i in range(num_machines)]\n",
    "    patches.append(mpatches.Patch(facecolor='lightgray', hatch='///', label='Waiting'))\n",
    "    patches.append(plt.Line2D([0], [0], color='black', linestyle='--', label='Job Completion'))\n",
    "    ax.legend(handles=patches, loc='upper left') \n",
    "\n",
    "    plt.tight_layout()\n",
    "    plt.show()\n",
    "\n",
    "# --- Example Usage ---\n",
    "T_matrix = [\n",
    "    [2, 1, 4], \n",
    "    [3, 2, 1], \n",
    "    [1, 3, 3]\n",
    "]\n",
    "job_schedule = (1, 2, 0)\n",
    "\n",
    "plot_flowshop_gantt(T_matrix, job_schedule)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "0ab9dae7",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1200x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "import matplotlib.patches as mpatches\n",
    "import numpy as np\n",
    "\n",
    "def plot_flowshop_gantt(T, schedule, machine_colors=None):\n",
    "    \"\"\"\n",
    "    Plots a Gantt chart for a Permutation Flow Shop scheduling problem,\n",
    "    allowing custom hex colors for each machine.\n",
    "    \n",
    "    Parameters:\n",
    "    - T: Matrix where T[i,j] is the processing time of job i on machine j.\n",
    "    - schedule: A list/tuple indicating the order of jobs (e.g., [0, 2, 1]).\n",
    "    - machine_colors: A list of hex color strings (e.g., ['#FF5733', '#33FF57']).\n",
    "                      Must match the number of machines.\n",
    "    \"\"\"\n",
    "    \n",
    "    T = np.array(T)\n",
    "    num_jobs, num_machines = T.shape\n",
    "    \n",
    "    # --- Color Validation ---\n",
    "    if machine_colors is None:\n",
    "        # Fallback to a default palette if no colors are provided\n",
    "        machine_colors = plt.cm.tab10(np.linspace(0, 1, num_machines))\n",
    "    elif len(machine_colors) != num_machines:\n",
    "        raise ValueError(f\"Error: You provided {len(machine_colors)} colors, but there are {num_machines} machines. Please provide exactly one color per machine.\")\n",
    "\n",
    "    # Organize data structures to store start and end times\n",
    "    start_times = np.zeros((num_jobs, num_machines))\n",
    "    end_times = np.zeros((num_jobs, num_machines))\n",
    "    \n",
    "    # --- 1. Scheduling Logic (Calculate Times) ---\n",
    "    machine_avail_time = np.zeros(num_machines)\n",
    "    job_avail_time = np.zeros(num_jobs)\n",
    "\n",
    "    for job_idx in schedule:\n",
    "        for machine_idx in range(num_machines):\n",
    "            start_t = max(machine_avail_time[machine_idx], job_avail_time[job_idx])\n",
    "            duration = T[job_idx, machine_idx]\n",
    "            end_t = start_t + duration\n",
    "            \n",
    "            start_times[job_idx, machine_idx] = start_t\n",
    "            end_times[job_idx, machine_idx] = end_t\n",
    "            \n",
    "            machine_avail_time[machine_idx] = end_t\n",
    "            job_avail_time[job_idx] = end_t\n",
    "\n",
    "    # --- 2. Visualization (Gantt Chart) ---\n",
    "    fig, ax = plt.subplots(figsize=(12, 6))\n",
    "    \n",
    "    # Plot \"Working\" bars\n",
    "    for job_idx in range(num_jobs):\n",
    "        for machine_idx in range(num_machines):\n",
    "            start = start_times[job_idx, machine_idx]\n",
    "            duration = T[job_idx, machine_idx]\n",
    "            \n",
    "            if duration > 0:\n",
    "                ax.barh(\n",
    "                    y=job_idx, width=duration, left=start, height=0.5, \n",
    "                    color=machine_colors[machine_idx], edgecolor='black', align='center'\n",
    "                )\n",
    "                # Keep text black to ensure it's readable on most light/medium hex colors\n",
    "                ax.text(\n",
    "                    start + duration/2, job_idx, f\"M{machine_idx}\", \n",
    "                    ha='center', va='center', color='black', fontweight='bold', fontsize=9\n",
    "                )\n",
    "    \n",
    "    # Plot \"Waiting\" times (gaps)\n",
    "    for job_idx in range(num_jobs):\n",
    "        if start_times[job_idx, 0] > 0:\n",
    "             ax.barh(job_idx, start_times[job_idx, 0], left=0, height=0.2, color='lightgray', hatch='///')\n",
    "\n",
    "        for m in range(num_machines - 1):\n",
    "            finish_prev = end_times[job_idx, m]\n",
    "            start_next = start_times[job_idx, m+1]\n",
    "            if start_next > finish_prev:\n",
    "                ax.barh(\n",
    "                    y=job_idx, width=start_next - finish_prev, left=finish_prev, \n",
    "                    height=0.2, color='lightgray', hatch='///', align='center'\n",
    "                )\n",
    "\n",
    "    # --- 3. Add Completion Lines for EVERY Job ---\n",
    "    completion_times = []\n",
    "    \n",
    "    for job_idx in range(num_jobs):\n",
    "        c_t = end_times[job_idx, num_machines - 1]\n",
    "        completion_times.append(c_t)\n",
    "        \n",
    "        ax.axvline(x=c_t, color='black', linestyle='--', linewidth=1.5, alpha=0.7, zorder=5)\n",
    "        \n",
    "        ax.text(\n",
    "            c_t, job_idx + 0.25, f' C{job_idx}={c_t}', \n",
    "            color='black', fontweight='bold', va='bottom', fontsize=9\n",
    "        )\n",
    "\n",
    "    # Calculate overall Makespan\n",
    "    makespan = max(completion_times)\n",
    "    \n",
    "    ax.text(\n",
    "        makespan, num_jobs - 0.5, f' Makespan: {makespan}', \n",
    "        color='black', fontweight='bold', va='bottom', fontsize=11\n",
    "    )\n",
    "\n",
    "    # Update X-axis ticks\n",
    "    current_xticks = list(ax.get_xticks())\n",
    "    for c_t in completion_times:\n",
    "        if not any(abs(x - c_t) < 0.5 for x in current_xticks):\n",
    "            current_xticks.append(c_t)\n",
    "            \n",
    "    current_xticks.sort()\n",
    "    current_xticks = [x for x in current_xticks if 0 <= x <= makespan * 1.1]\n",
    "    ax.set_xticks(current_xticks)\n",
    "\n",
    "    # Formatting\n",
    "    ax.set_yticks(range(num_jobs))\n",
    "    ax.set_yticklabels([f\"Job {i}\" for i in range(num_jobs)])\n",
    "    ax.set_xlabel(\"Time\")\n",
    "    ax.set_ylabel(\"Jobs\")\n",
    "    ax.set_title(f\"Flow Shop Schedule: {schedule} | Total Makespan: {makespan}\")\n",
    "    ax.grid(axis='x', linestyle=':', alpha=0.6)\n",
    "    \n",
    "    # Legend\n",
    "    patches = [mpatches.Patch(color=machine_colors[i], label=f'Machine {i}') for i in range(num_machines)]\n",
    "    patches.append(mpatches.Patch(facecolor='lightgray', hatch='///', label='Waiting'))\n",
    "    patches.append(plt.Line2D([0], [0], color='black', linestyle='--', label='Job Completion'))\n",
    "    ax.legend(handles=patches, loc='upper left') \n",
    "\n",
    "    plt.tight_layout()\n",
    "    plt.show()\n",
    "    plt.imsave(\"gantt_chart.png\", np.array(fig.canvas.renderer.buffer_rgba()))\n",
    "\n",
    "\n",
    "# --- Example Usage ---\n",
    "T_matrix = [\n",
    "    [2, 5, 7], \n",
    "    [12, 3, 8], \n",
    "    [5, 20, 4]\n",
    "]\n",
    "job_schedule = (0, 2, 1)\n",
    "\n",
    "# Define your custom hex colors here (Make sure you have exactly 3 colors for 3 machines)\n",
    "# Example: Coral, Sky Blue, and Light Green\n",
    "my_hex_colors = [\"#6A89A8\", \"#D98368\", \"#F2B989\"]\n",
    "\n",
    "plot_flowshop_gantt(T_matrix, job_schedule, machine_colors=my_hex_colors)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "c8cf6f4f",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Chart successfully saved as 'transparent_gantt.png'\n"
     ]
    },
    {
     "data": {
      "image/png": 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jccaHegCnFOsi4CXgdOBdEUl3Z7sJ+A7nczjWvZ3vPtcJOAWnxOpS4DqgK/COOKWVm+IZ4MiGZI37/bUf8HQr858ArMPZBs7D+Tz/BrQ5Lp6IHAS8BrwA/MUYE3a3t0k4SchbcT6bKuDVZt8h1+Fsyx/ilHLehNOLb7tmqwniJNCW4pS0TQaud2+NnQd8i/MdcQUQBl6QZkl0164432/PusvMAl4SkaJm803F2e5iIiK57v5ioIhcABwAvN9olkz3vnm5arV7P6qdVTRso022YWPMImABm3cbVkoplSqMMXrTm970prckvuGckJmWbs3mmwOMa/T47+58uzaalgfMwumdEHCnXYxzgpTvPj7HXdYXwK3utABOEuXudtq6Jc4JjME5AbsHp/wmp4V557jz7dZoWlec8WLu3Ij3Mcadb0HDe3Gnj3Wnn9tO2/d1P4cwTuLrNpwT5fRm8w0CIsDLDetu9JxsxPu7CueEe3CzZd3itqW3+7jMXd4ljeYJ4oyvZIATGk3/CPiohfc4DpjTbJoBrmv0+BGcREZRs/meAVYD2c3WY5qvp4X17u2u56Bm07d3px/bwmtud5/L3Ezb0SPu5zl4Myyrod0ntDNfHfDPGJZ3XfO4xPCaI9w2jGn0v1UHvNP4/xI4y53vxEbT3mhpfe7/U0azaZ1xxkt7tK3/m1ba2M+d72Kc74b12zHO+FmVOGMXjQPWNXttdgvLexAngZTZaNpHwE/u34cB9ThlZ40/g/E4pWONXyc4Cd/pjaZ9h9M7r633NM59H/c1W9Yb7udf3Np7ANKBH4H3W/gs64CBjaZt5U4/u4V5N9i222jvg/y2z4jgJOgKGz2/nfvcVc1et787vbKd5V/szte7hee+BCZuyramN73pTW96S82b9ohSSqmO4yycZEnjW1sOBL40xnzWMME4vZn+jXOCONyd/CnOCWjDINK7udM+df8GZ2Djzu60VhljpuCUIv3HXcd5OIPYLhWRU1t4yc/GmE8bvX45MA0YsBHvo8GTxpjKRo9fxBnf58B22v4eTpnKa8DWOL0S3gEWNivhOQQnMfc3Y0y02TKal53F8v7G4nyuFc16u43HiUtDb7UDcRIp/2q0vAibcRB1t7fK4cDr7sPG7XkHp6fc+t4hxpgxxhhpeWlNNPTqqGg2vaGXWl0Lr6ltNs9GE5GjgZOBu4wxv27q8uJQgTPIeSLsgzPe0j3N/i8fxhk4vaVeOE0YYyLGHRxenBLdLjhlW1+zYa+guLjfDT/gDFoOTpleuTGmupX51/fQEZF893/wU5zE1QbloCJyFPAc8BBwesNn4L6HvYDngfxG/89FOP/Tg92eeeAkWrcUkcExvKX7G7XVuI8zcOLQ0nsoxNl+PqXlz3K8MWZmo9f+gBO3xt8VmPgvKX4Pzr7ieOAt3GRjo+V9g/Ojw6UicqI4Vzo8AOdzDNH+9tfeNrzJ269SSqnUo4kopZTqOL40xoxvfGtn/r44SY/mpjZ6HpxyqWp+Szo1JKI+AbYXkaxGz61PBrXGGDPdGHMszgn4VvxWkvJvEdmn2ezzmr8e5+S9cCPeR4MmiQb3JHEGTtKqvbZ/ZYw5zF3/Dji9kvKBF92xUMAZSyoK/Nze8ojt/Q0Gfg8sb3ZriG/DQOl9gcVmw9LIlj6bjdUVJ+F4WgvtebxZezZG86RVw4l6ZvMZcUqTGs+zcSsU2Q14FCfpcOWmLGtjVo/TWyQRGraDJv8PbmJpFhtuJy0SkeNF5AecJMJKnNj/gd/KdTfF08BYca6uuTOtl+UhIluKyCsisgYnIbMcJ8FNC23p7z73kjHmnGYJ4UE4cbiBDf+nG0rpGv6nr8H5/58uIj+KyB0islULzYvifKaNTXfv+zV6DweJM55dLc44WMtxriLX0mcZy3dF3Iwxv7j7iyeNMQfh9CZ9vdl4VofjXAnyMZxepq/jJO6+xemt2Zb2tuFN2n6VUkqlJr1qnlJKWc4YExKRL4Dd3RPEHjiJqKU4pSS/w0lE/eL26Il1uRGcMpQfRWQizrgrx/BbggWcUpGWxNLLxjPuyftXwFfiXD3qcZyeS83HgGlPLO8vgDOG1O2tzDu9leltMbT8GbY30HPDD1T/ofWxp37YiPasdO+bn1Qvdu9LWnhNCbDKGNNST4uYiMjWOD3cfsK5kl64nZdsbp1J3JhUm0xE/oJTevYqcAewDOd/+HKcBOymegYnufswzv/Eu620ozPOuGlrcZJDM3ESY9vhlMw2/yF1sXs7UES2N02vLtow7504yciWzAAwxnwiIgNxymD3wxkv6wIROcMYE9eVFt0E6Gs4Cf2/uu0L4Vw9svmg7ZC478IXcXo7bYGbtDTGLAR2dXuC9QB+Nc7VIRfR/vdP4214frPnSnDK85RSSqkmNBGllFKpay4wpIXpQxs93+BTnMGJ98E5cf7FGGNEZApOEmo3nDFQNlbDiWFLCYf2xPM+wOlhtJ77y/8gNi6BAhu2fSbOye1wnDFlNtVMIC+GHm5zgb1FJK9Zr6iWPpsKmpX0uNrrFbMcZ9yeYAztiUfD5dv7N55ojFkoIstxxlxqbgc24fN1Ewpv4yRTDmyhJ5mn3HKvDGIYzH0zadgOhtCot46IZOB87o3j2VovrSPc1x7WuFeRiMSbgG2RMWaeiHyOM57bv9pIDI7BKZ07zBjzSaN29G9l/lrgIOAD4G0R2cMtBYTfPotQLP/TxphVOInnx8W5QugnOGN4NU5EBXC2r8ZJmi3c+znu/eFuu/ZvnEwVkRPba4PHGkrlNuiV5Zat/grrr4ZXgpOYbMt37v32NEo6iUhPnIsp/HuTWquUUiolaWmeUkqlrjeBHURkp4YJIpKLU3Y1h6alZZ/ilFacD3zW6CT0U5yravWknfGh3OXv1ujqXI01jM+0MWVk8bwPgONEJL/R4yNwTqjeamslIrJns3KVBs3b/ipOac41ItJkP9rK69vzPLCTiOzfQps6i3v5eZzPIQ2ntKfh+SDO4PLNzQSGikjXRvNuTTtXcHN7sb0EHN7S1QMbL8993EdENhivp4XlLsTpLdFSwukl4CAR6d1ouXvjnNi/0N6yWyIiPXB620RxEgEx9+TbjBquNjYhQesbjzNQ97nN/g9Pxkk6/K/RtCpaLg9r6JWz/vUi8jucsdM2l6tweha2NbZZS+3IwOlZ1CJjzBqcAbaXAe+5iUiMMctwBjQ/XUQ2SIQ320aaXKHOTV7OoOWys7MbvU7cxyF+uyJdBCfhF2w0Xz+cMeY2mogMFZE+Mcy3QQmt+918HE65XKulxe732u04JdsPNn69u/71n6Ob8PsFOM39PmpwJs77f7HdN6WUUso62iNKKaVS1604AwO/JSL34YxRcjxO74jDmw1oPBFnHKchNP0F+xN+S3y0m4jC6VU1SkRe5rceSNvhnPyswhk418v3gfv8ZyLyONAdJ7k2A6ccqC3/AHJE5BWcE6sMnHFs/oyT8HocwBgzQ0RuAq4GPnXfax0wGudqc5fH+f7uAA4G3hCRcTiXgs8FRuIk0frh9FJ7HecqX7e6J7Q/41wlrKWEwmPAhcA7IvIozhg4ZwBTgE7ttOcyYE/gCxF52F1PF5w47uP+3eBJYA9iKx8qBw4VEWk2hs/NOGWPH4rIvThj2FyCU9b5eOMFiMgcAGNMv3bW9TZOj5XbcUqOdm303FJ3YPqGZY7D/X8yxsxpa6EicjZOuV1Pd9IfRaSX+/c/3GRIg31xxv35tp22bhbGmOUicgtwLU6voNdwtue/4pSZ/qfR7JOBP4vI3e5z64wxr+P0ejwMeEVE/oezjZ2B8z+Qt5na+TFO2V1bJuD06nvC3eYNTkK8zf8zY8wKEdkXZyy78SKyq5sEPcud9qP7Pz0L57thJ5xeO1u7i/hZRD7C+XxW4SROj6DRwOSuWuD3IvIEzkDfB+CMo3Vzo6Tn/3C2wbdF5GmcbfAsnO+ilsaditVUnM9vTDvzPSQinXC+wxfilNwdg9OT9KLGPQTd7S4Lp3dTOk7p4A7A8caYxmNXlbrrfwLnaq4NLsEpQ3xXRJ7FubjF2cAjxphE9QhUSinVkWzOS/DpTW9605veNv8N54DfANu3M98cYFyzaQNwepVU4PwK/gXwh1Ze/6W7nh0aTSt1p82Lsa0745y0/YhzBap6nJKhx4EBLbR3g0ul4/Re+Cje94FzYmaAI3GSG0txftF/A+gTQ9t/jzOo9VSc8rQ6nDKV+4BuLcx/Is5A7w0DEX8E7LOR7y/PbfOv7nqX4ySdLgLSG83XBSf5s8b9fJ/EuUqhAU5otsxjcHpG1eEkQ/bDKbOZ02w+A1zXbFo3N47z3Bguxulxc2oL78XE+L+xrbuuXVt4bkuc8Xuq3Bj/B+jewnzLieFy8Px2ufqWbs0/+xfd/5POMSx3ThvL7ddovgBOUvKGGD+b65rHJYbXHOGud0yz6We5/8P1wBLgn83fG06i87/uZ20a1o2T6LncfZ+17v/3H2L9v2mhjf3c+S5uZ75xOMmw5t8lE93YLMQZG2q/5u/Z/R/8qdlrB7qf/89AsTttAE4CZbH72SzASe4e3uh1V+J8t1S4652Kc7GF9OZtdZfX8D+7xI1hoFk7TsIp36t1l3WCO59pNp8B7m/l/21cC/N+1NLn2Gy+I3HGnluC01Nrlfv44BbmPQEnCbUOZ1yu8cCebcRzXAvPHYLzPVOL0/vxhsafm970pje96U1vjW9iTKIu5qKUUkp5R0TG4AyIPtYYo+UgSUhE3gcWGeeqivG+djhOj66DjDH/a2/+OJa7FHjSGHPJZlzmIThXhBtojFnczuyIyHU4icR+m6sNyhtuD7ojjDGbpYeYUkopZSMdI0oppZRSiXIFTklYe4Omt2RPnN5QmzMJtSXO4M23ba5lui7F6eHSbhJKKaWUUso2OkaUUkoppRLCGPMFzthbG/PaB4AHNnN7Yhkza2OWuzkH91ZKKaWUSinaI0oppZRSSimllFJKJYSOEaWUUkoppZRSSimlEkJ7RCmllFJKKaWUUkqphNBElFJKKaWUUkoppZRKCB2sPAYiIkBPoNLvtiillFJKKaWUUqpd+cAio+MRJR1NRMWmJ7DA70YopZRSSimllFIqZr2AhX43QjWliajYVAIUFRX1Xbly5Wqf26I8NHjw4OAZZ5wx+sEHH/zq119/jfjdHuUdjXXSyBSRp/Lz8zvn5OQcsmTJkmovVqLxtofG2h4aa3skINYJ2Rep2Oi2nRRS4fgsH6cziVY1JSG9al4MRKQTsGbHHXfsOnHixBV+t0d5p7y8PBM4A3iwrKyszu/2KO9orJODiGQFAoGXSkpK+o4ePXrnV155Za0X69F420NjbQ+NtT28jnWi9kUqNrpt+y8Vjs8azuGBAmOMbtNJRhNRMdB/YqWU8oaIZAEvuA/HGmNq/WyPUkop++i+SKmmUmGb0HP45KaleXEYPHhw0O82KG+Vl5enAWOAj8rKysI+N0d5SGOdPERECgsLi4YMGeLZd6zG2x4aa3torO2RiFgnYl+kYqPbdnLQ4zPlJU1ExSE/Pz/gdxuU5wLAQOATvxuiPKexTg51JSUl5/31r38d26VLl5CH69F420NjbQ+NtT28jnWi9kUqNrpt+0+Pz5SntDQvBrF265s8eXI+UIKzQSm1uUSBxaNGjdKB9pRSSimllFKqHVqal9y0R1QcWivNmzx5cgC4IhgMHici6YAktmVqMxJjTLaI1ADJkqU1xpjQ5MmTnwRuHjVqVNTvBqUCtyvwAcBb2hXYX4mIhcbbHhpre2is7aH7CbtoLJKDbnfKS5qIikNmZmZrCaYr0tPTz+zRo0d9bm5utYgkSwJDxckYQzgcDqalpVWKJEc+0RgjVVVVOUuWLDkzFAoB3Oh3m1KEAIVo4thXIpKWkZFx1J577rlTz5493/PwIETjbQ+NtT001vbwNNYJ3Bep2Oi27TM9PlNe09K8GLTVrW/y5MmdgsHg1z179kzv1q3bSn9aqGywbNmyokWLFoUikcgoLdNTqSIVrsqilFKqY9N9kVJNpcI2oaV5yU17RMVhxIgRLX1ePUQkPTc3tzrhDVKbnTFG6uvrO2dkZKxOtp5tbm+7HJxxyDQRtYnKy8vTgUOAV8vKynRgUh+JiBQXF/cYOXKkZ/skjbc9NNb20FjbIxGxTsS+SMVGt+3koMdnyks6qPamC+Bsp0mVtFCpx/0fE3S7VUoppZRKGBHJF5EbRGSKiNSIyGoR+VJETnCf31dE3haRhSJSJyILRORxESnZyPU912hZq0TkcxE5qNHz2SLysjuPcW9jYlhuhojc5ravTkR+FpHjNqaNSim1KbQ0LwbtlOYNTUtLe3vw4MHrcnJyOlyXRdVxVFdXZ/3666954XD496NGjfrF7/YotTmkQtdvpZRSHVtb+yIR6QJ8CgzH6ZH+DlANbA8sN8aMEZHrgHNxLkG/GhgL5ACTjDE7bUR7vgJmABXATsA2QBjob4xZICIFwI/AN0CZ+7I9jTEftbPce912znHbejiQCxxsjHk93naq1JUKx2dampfctOtpHFopzWvRsorKjMqq2oR9vvm5WeFuhfn1iVpfvC688MKeb775Zudffvnl59bm2WGHHYaMGDGi+rHHHpufyLY15pbmdcnIyFilvdxSm9sV+CjgGe0K7C8Rke7du5cOHz7c667fGm8LaKztobG2RyJi3ca+6HqcJNQqYJQxZk6j12zp/vkicLsxptqd/gnwKLCjiBQaYyriaYsxZnSjdRQBK3DO2/oAC4wxa4A+brKgJsb31xU43X14sDHmRxH5Fvg7cC2QNIko3baTgx6fKS9pIioOdXV1MSUmllVUZtz42NsjIpFowkb/DwYD5qqTfv9TrMmoww8/vN/LL79cdNRRRy1/+umn5zV+7thjj+3zn//8p+thhx228qWXXprjSYNb8Prrr8/IyMjwPPnz66+/Zpx66ql9vvjii/zs7Ozo2LFjV95///0L0tPTAYyIhAFNQqU+g/NLo8Y6CYTD4VBNTY2XsdB420NjbQ+NtT0SEutW9kWHuvePNE5CARhjprj3PzV7TaZ7vwZYB+CW8T3exuqvN8Zc1/BARM4GhgE7u5PeBb6I5X20Yku3XbXGmB/daZPc+61FJGiMiWzC8jcn3baThB6fKa9oIioOv/76a0xfzpVVtWmJTEIBRCJRqayqTYunV1SPHj3qX3/99S7r1q2bn5eXZwCqq6ulvLy8S0lJScJ7V3Xv3t3znV84HOYPf/jDoOLi4tD777//y4IFC9JPP/30/unp6eb+++9fKCJkZGSs8bodyn/uZWiT5tc/mxljzIoVK5auWLHCs+8Ajbc9NNb20FjbIxGxbmNf1N29nxPLckRka+Bm9+GFxpiGXh4/A/e28dJJzR4fAezh/r0GeGMTE0U93Pt1jaY1/J0GFANLN2H5m41u28lBj8+Ul3TQ4zhst9126X63YXPacsstq0tKSuqfeuqpwoZpTz75ZGFJSUn98OHDm1wF8MUXX+w0atSoIfn5+dt07tx5mz333HPQlClTMhvPM3PmzPQ//vGP/QsKCrbJzs7edsSIEcM++OCD3MbzPPDAA11KS0tH5ufnb3PQQQcNqKioWP8/uMMOOww56aSTejc8Li0tHXnZZZf1GDt2bL/c3NxtS0pKRt55553FjZc3Y8aM9AMPPHBAfn7+NgUFBdvsvffeA6dNm5bR2nt++eWXO82cOTP7ueeem73zzjvX/OlPf1p7+eWXL3riiSe61tbWijFGamtri40xCU0kqsQrLy/PKC8vP728vLzV/xeVEPVdu3a99Morr/zyhhtu8OzXMI23PTTW9tBY2yMBsW5rX9SQnOnX3kJE5ECc8aTygTOMMY9tbIOMMWOALGBPnIvV3Ccih7b5orYtce/zGk3Ld+/DOOV/SUG37aSgx2fKU5qIikNlZWXU7zZsbsccc8yKp556an1y58knnyw+5phjNtgRrVu3LnDuuecunThx4tQ333xzmohw6KGHDoxEnAT5mjVrAmPGjBmyePHijOeff37GV1999fP555+/JBr97SObP39+5muvvVb46quv/vrCCy/M+OKLL/KuueaaNq8m8uCDD/YYNWpU1RdffPHziSeeuPzSSy/t+/3332cC1NXVyf77779FXl5e5P3335/24Ycf/pKbmxv9/e9/P7i2trbFRNKECRPyBg8eXNO7d+9ww7SDDz54zbp164KTJ0/OAkwgEKhDu4faIArMdO+VT4wx0Ycffnj66NGjJ44cOdLLXpEab3torO2hsbaHp7FuZ1/0qnt/ioj0a/yEiAxp9PdZwGvuwzJjzEPNljMcOK+N247ucnJFJOC2qw5nUPHF7jK2ivU9iUixiAwVkT7upClAPZAlIiPdaTu69z8kUVke6LbtOz0+U17T0rw4xFqa15Gceuqpq26++eZe06dPzwD45ptv8l566aVZn3zySX7j+U444YTVjR//97//ndOzZ8+tv/nmm6zRo0fXPvzww10qKirSv/7666kNJXYjRoyoa/yaaDTKs88+O7uwsDAKcPjhh69qvp7mxowZs+ayyy5bDnDjjTcueeihh7q/8847nbbeeuvljz76aKG7zLmBgJNTff755+cUFhZu8+abb+YfdthhG1wdYenSpenFxcVNBsIrLS0NAyxcuDBdRGoyMjIqY/nsVMfmdgUe73c7VGJiofG2h8baHhpre/i8n7gW2AcYAvwgIm/jlLRti1MyN0ZETgbud+f/EthXRPZ1H//NGLPKGDMOGBdDU/YFHhCRT3EGSB/trts0bp+IjAOCjV53mTsO1SPGmM+As922fwyMMcYsF5F/u9NfE5GPccr/AG6IoV0Jo9t2ctDjM+UlTUTFYccdd0y5LoM9e/YMjxkzZs1DDz1UZIyRMWPGrC4pKQk3n+/HH3/MvOKKK3p+++23eatXr05r6Ok0a9aszNGjR9d+9913OcOGDatua5yn0tLS+oYkFEBJSUn9ypUr2yx3HDly5PoSwUAgQHFxcWjZsmVpAN9//33O/Pnzs/Ly8rZt/Jq6urrAr7/+mtl8WbEwxkhdXV3XzMzM5XrVvNRWXl6eCZwBPFhWVlbX3vzKGyKSlp2dfdgf/vCH/UtLS8+55557qtt/Vfw03vbQWNtDY20Pr2Pd1r7IGLNSRHYALgUOAw4G6oBpwBPubL0bLW5v99bgHpyEUqxmAzNwkl+dgJXAW8DfjTGfN5rv+Gav29+9/wj4rJVlXwzUAscAR+P0RLndGPNqHO3znG7b/tPjM+U1TUTFYeXKlSnXIwrgxBNPXHHRRRf1Abj77rvntTTPwQcfPKi0tLT+gQcemNO7d+9QNBpl9OjRW9bX1wtAdnZ2u90p09LSmiR2RARj2s71pKenb/CaaNQZCH7dunWB4cOHVz399NOzm7+upWQaQPfu3UPffvttk3GrFi5cmAZQWloaAkwwGKxGS/NsEAEmu/fKP2m1tbXHjR8/vnDYsGFejs2m8baHxtoeGmt7eB3rNvdFxpi1wJXubQPu1e6u2xwNMcZ8z2+DlLc1X5v7zJba5Jb6XeLekplu2/7T4zPlKU1ExaGjl+bV1tZmhEKhNIBoNJpmjAlUVlbm7L///qFzzz03ICLst99+ocrKyhxjTDAajUplZWXOsmXLgnPmzMm65557lu61114RIPDhhx9mA9TX12dWVlbmDBs2LPLMM8/kzJo1K69r164bJKUikUg6EKisrMxpmBYOhzOMMdIwzRgTiEajaY0eSzgczmj8GiAQiUTSKysrc0aOHBl+4403sgsKCtI7d+7cfJ3BysoNK+y233770D/+8Y/s6dOn55eUlEQAXn311c65ubnRLbbYIrBu3bocnBrlnA1e7LO6urqMUCiU8eCDDw5/9NFH22tfBs44AKpt1cQx3oLyRIYxptPq1asjEydOHCkiXv7farztobG2RyrEWvfZsfEy1g37opqJEyd26OP9VOCWa7XWq0sliDHGrF69epWX24TG2l6aiIpDRy7Nq62tzZgyZcqIhl9PQqEQkUiEadOmDQN4/vnnAZg5c+YwgEgkQigUYtq0aQXRaJSCggIeeuihvtFolCVLlnD//U4ZfEVFRa9p06ax0047UVRUxBFHHDHkrLPOoqioiOnTp1NcXMxWW21FTU0N0Wh0/foA1q1zrhjbMC0ajVJXV5czbdq0Lo3m6T5t2rSGy+YSjUapqanJnDZtWvGuu+5K586dOfTQQ4ecfvrpdOvWjSVLlvDhhx9y7LHH0r37+petN3jwYPr378/xxx+/xTnnnMPKlSu5/fbbGTt2LHPnzh0qIhQUFLBmzZp2e2v5YcWKFYwfP/6l9uYLiBBNwvYnk7S0NP74xz/y+uuvEw632IFOJYiI0L17d5YvXz6x4QIIm5vG2x4aa3ukSqwDASEa1X12WxIRa3dfZILB4ADgZ09WomLilmudD9yj5Vr+CQQCgdLS0v6jRo3KwCnp3Ow01vbSRFQcFi5c2GGPckKhUJoxRjp16UYwLZ3M7FzqQmEKu5UCUNit6fzpmVlkZueuf/6+fz7E3669miOPOooBAwZy9XU3cMyfDyevoMv6eZ565kVuvvF6zr/gAiLhMIMGb8F1N9xMYbdSsnLzSUtPXz8vQE5+ZwLB4PppaRmZZOXkrX8cCAbJye/c5DVp6elk5eavn/bcS69x+603celll1FVVUX37j3YeZddKe03mPz8lsdBf+zJZ7jmyss4+eSTyc7J4bAj/sQll11JWpqzOaQFA3TOyG3xtX6KhENU14X5/bEXsmpt62Xac3/5li/ffZ47jtiLgV0LE9jCjkagUyHHnnoIWonpn/pwhDvf/QLS0rnnjweTkebVxVw13vbQWNuj48f64+nzuPf9r3j40iMZ0rtb+y+wlAEi6fmcv3dvvKgRqguFuej+V5mxeLVEo9HOHqxCxadhAOsOe+6VCqLRaHT16tUrZs2a5WUcNNaWkmTs9ZFsRKQTzlUxCtwa8fUmT548NC0t7e3Bgwevy8nJqQVYVlGZceNjb4+IRKJe1tM2EQwGzFUn/f6nboX5LXbtrqyszJk2bdqwwm6lpGVs1DjeymfhUD1LFi7gf1/PY011qNX5pn/7GeOfvZ+XzzycLXt2TWALlYpfXSjMec+9B8C9f96XzHT9fUQpZY/Xvp/OJS9+wCf3n8s2g0vbf4HyRG19iEMuf4QJP80B2MkYM8nnJinlKxHJAl5wH441xnjSI8pLbZ3DK//pEX8cYi3N61aYX3/VSb//qbKqNmGfb35uVri1JJSKnQAZQaE+Yjrob6sqVlERVnYdSNHymQQ0Ie8rA9Rn5BAV73L3Gm97aKztobG2R9QIc8Jd6Je2ioBHFzU2CD179qSurq7NKzor77nlWpcDt2i5ln8CgUCgd+/eg7bddluvS/M01hbSRFQcZsyY0Xo3lGa6FebXa2Ko4zFAOKpJKBuIMXRaswTRk5ekkBau8zQWGm97aKztobG2h2DoFqxEPD1CM6xatYpIJKIlQv4L4fTGifncS21+0Wg0umLFikU//PCDl3HQWFtKE1FxWLFihR7pWCCiUbaCAJl16/xuhvXSg0Eu3GcHADKCQc/Wo/G2h8baHhpre4hAnocXVc1IC3LaH3fmxFueBr2Coe/KysqiwBS/22G5euCKqqoqZs2a5VlPJY21vTQRFYfddttNB1dKcQJkpgl1Ye0VleqiEmBF90EUL51BwET9bo61AgFhcElXVnQfBEtngEex0HjbQ2NtD421PSJGmB0uon/aSoIelOYFAgEGlHbjuOOO491339XSPJ+Vl5dnAdcD15aVlXW4sYlSgTEmWl5e/ituHPCuNE9jbSlNRMVh6tSp+gtJijOg40NZQkyUzivnI3ry4rtExELjbQ+NtT001vYIYCgNriHg6RFalHfeeYeKigotEfJfPfAQ2jvNb4mIg8baUpqIioOW5tkhqlG2ggAZoRq/m2G9cCTKZzPmA7DroN6kBQOerEfjbQ+NtT001vYQgWzxLj8UjkSY9NNsli5dCuDNjkjFzC3XmuV3O2wmImnA/u7DecZ4k/HXWNtLE1Fx0NK81KelefaISoBlPbag25LpWtLho0g0yjNf/UxdZh6/G9jbs52SxtseGmt7aKztETHCzFBXBqYv96Q0LxyJ8upnP9G7d29qamqyN/sKVFzccq3bgEu1XMs3aYFA4K/9+vUbtv32228LrPFiJRpre2kiKg5ampf6DFCvSSgriIlStHy2lnQkiYz6ajcWHvWI0nhbQ2NtD421PQIY+qav9Lg0z7BkyRLQq3clg3qc5ISee/koGo1GFy5cOAPvS/M01hbSRFQctDTPDno4awcB0sOeXQRExUFwTijF43VovO2gsbaHxtoeIpBJxNt1AKFQCNDfI/3mlmst8rsdCurq6upmzZrl2TahsbaXJqLiEE9pXv2qZRmRqrUJ+3yDuZ3CGV26JW0m+e933sa7b7/JW+M/bnWePx92MMO3HMG1N9ycwJY1JUBWmlCrvaJSXlQCLC0ZRvfFU7Wkw2cGqMvKJyreDcuh8baHxtoeGmt7RIzwa6gbg9OXeVKaB2AQ+vbtS1VVVYYnK1Axc8u17gXO03It/wQCgUD//v1HjBo1KhNvr5qnsbaQJqLi8M0338T0s1v9qmUZcx762wgiES9/4G8qGDT9Tr/mp1iTUReddxYvPf8sRx97AjfffleT566+/BKeGvcYh//pSO669wFPmtuShx59grR07/8lr7vqMr7+8kumT5vKwMFbNEmOGdAklCXEROm2ZJqWdCSJzNp1npfmabztoLG2h8baHgEMA9OXe16at2DBAowxSfvDrkXqgMvce+WTaDQanTt37tTVq1d7GQeNtaX0qhAeiFStTUtoEgogEpF4e2D17FnK6+UvU1vz2xVnamtrKX/lJUpLe232Jranc2EheXn5CVnXn446moMOPiQh61LJS09ekon36V+Ntz001vbQWNvD2ySUIxrV/6ckopfETALRaNTbmliHxtpCmoiKw3bbbZdSV83bcuRW9OxZyttvvrF+2jtvvkHP0l4MHzGyybwfffA+Rxx8ICOH9Geb4YM46dijmDtndpN5Fi9ayDlnnsrWwwYybEBv/rj/Xnz7zddN5nn5hefYZfQ2jNyiH2efcQrr1lWuf+7Phx3M9Vdfsf7xLqO34YF77+aSC85hy0F92HnUVjz91BNNlrdo4ULOOu0kRg7pz9bDBnLKCccwf/68Nt/3dTfeynEnnkLvvv02eK6hNC+xWUTlB+OWdBgPy8FU7Oqy8j2NhcbbHhpre2is7RHFKc3zejTBPn360KVLFy3N818mTrlWSp17dTQNpXl77723l3HQWFtK99xxiLU0ryMZe+QxvPDc0+sfP//sfxn756M3mK+muopTTj+T199+n/8+/wqBQIDTTzpu/S9HVVXr+PNhB7N08WIeGfdf3nr/Y04/61yi0d9+vZo3Zzbvvv0mjz31DI8++QxfTJzAv/5xb5vte/ihf7LV1tvwv/c+4i8nnMRVl13MzBm/As6AkscddQS5eXm88Or/eKn8TXJz8jj+qLHU129cr2otzbOHmCjdF0/VX9N9lhYMcNaYUVyw0xDSPdwjabztobG2h8baHgEMg9OXedYrKj0Y5PgDdmDBggWsWrWq2pOVqHjUAeeh5Vp+CgHXVVRUHD1lypR1Hq5HY20pHSPKcocePpbbb7mBBfPnA/D1V1/yj389wqQJnzWZ74CDDm7y+Pa772O7EVvw6/RpDBk6jPKXX2LVyhW89tZ4OhcWAtCv/4Amr4lGDXfee//68rvDjvgTn3/2CZe00b4999qHY084GYAzzz6Px/79IBM//4yBgwbzRvkrRKNRbrvrXkScX8juuOcfbDVkAJMmfM7uY/bc6M9F2cFIQE9gfBYMBBjZqxvRQBqBaNjTdWm87aGxtofG2h5RxLNEVDAYYFjf7mRlZVFbW6v/UMkhG01O+MYYEykvL/8a6Iz3FxXXWFtIe0TFIdVK8wCKiovZa+99efH5Z3jhuafZa+996VJUtMF8s2fN5JwzT2W3323HiMF92XWHbQFYtHABAD9P+ZHhI7Zan4RqSa/evZuMAdW1W3dWrljRZvuGDt9y/d8iQnG3bqxc6bxm6s9TmDtnNlsO6svwgX0YPrAP2wwbRF1dLXPnzm5tkW3S0jx7GAmwrMcQLelIAomIhcbbHhpre2is7RFFmBnq6nFpXoDjjjuOrl27amme/zKBW9FyLb8lIg4aa0tpj6g4fPrppymZqf3TUcdwzRWXAnDDLbe3OM/Jxx1Naa/e3Hrn3+nevQdRY9hvzC7rS+CysrLbXU9aenqTxyLS7qCQaWmtv6aqah0jttqaex94aIPXdSkqbrc9LTFATVgL82wQMFFKFk3xuxnWC0eifDVnAcyYR9d+PQkEvTmh1HjbQ2NtD421PYJiGJqx1LPlhyMRvpk2l3/96xWARAzOrNpQVlZWC5zudztsJiJpwC7A80DYGG/OjzTW9tJEVByKi4tTsqPMHnvuTShUj4iw+5i9Nni+YtUqZs2cwa133sMOO+4EwFdfTGoyz9Dhw3nu6adYXVHRZq+ozWnEyK1547VXKSouJj+/02ZbbgDv+58q/xkgnJZJWrhOe8D5KBKNMm7ijxgJsG2fHqR5lIjSeNtDY20PjbU9jIF6gmQQQTwIdjgS5fkPvyXd+dFUz498Vl5eHgB6AEvKysr0sNwfacD5mZmZmaWlpRMAT8ZP0FjbS/syx2HYsGEp2VU3GAwy/pOJvPfxBILB4AbPF3TuTGFhF575zxPMmT2LCZ99wo3XXdVknoMPOZyu3bpx2onH8vWXXzBv7hzeeuM1Jn/9lWftPuSwI+jSpYhTTziWLydNZP68uUyc8BnXXXUZixctbPV1c2bPYspPP7J82TLqamuY8tOPTPnpR+rr6xEgQ0vzrGAkwMqu/bWkI0nUZ+R4Xpqn8baDxtoeGmt7RBHmhoo8v2pejx49KCgoSG9/XuWxDOBS9175JBAIBEpLSwdtv/32XsZBY20pzfjHIdbSvGBupzDBoCESSVw+Ixg0wdxOG52pbqtHUSAQ4B8PPsx1V13OfnvuyoCBg7juhls48vDfBjDPyMjgyWde4qbrr+bEv/yZcDjC4C224G+tlPptDtk5OTz3yuvceuP1nHHy8ayrWkePHiXssuvu5OXnt/q6Sy86ny8mfr7+8R/2HQPAp19+S+/efajV0jwrBEyUHot/8bsZCndstrp1BEwUr34f0XjbQ2NtD421PYJi2CJjmafrEAzznYv3bNyll9Vm45Zrned3O2wXjUajs2bNmjJr1qy65557zpN1aKztJV7Ve6YSEekErCkuLu68fPnyNY2fmzx58tC0tLS3Bw8evC4nJ6e2YXr9qmUZkaq1CUv0BXM7hTO6dGt1x1lZWZkzbdq0YYXdSknL0LHg2hIQiCbhZhEO1bNk4QL+9/U81lSHWp1v+refMf7Z+3n5zMPZsmfXBLawYzFAKD2b9FCN9oDzUV0ozLnPvYeRAPf9aW+y0r352tR420NjbY9UiPVr30/nkhc/4JP7z2WbwaV+NydpGQO1Jp0sCXlSmldbH6Ls8keYPH0Rxpid6+vrJ27+tahYueVa/YA5Wq7lDxHJAl7Izs7OKSkpOWjmzJk1XqzHy1g3nMMDBcaYtZtz2WrTaY+oOMRTmpfRpVs9bSSGVHISICMo1IWNRxcIVsnCSIDVRb0pXjpDL/2dBEIZ2Z6X5mm87aCxtofG2h5RhIWRAvqnrSTo2RGa0K1bN2pra7U0z38ZOANYXwvUtjOv8kggEAh07969r1ua50kiCo21tTQRFYdUvWqe+o0BLc2zRMBE6bZkut/NUDgJ4My6Ks9L8zTedtBY20NjbY+gGAalr/B0HYJhwYIFoKV5vnPLtS71ux22i0aj0Tlz5kydM2eO16V5GmsLaSIqDql61TzVVFAgormolGeA+sw8MurWddiSjlRhgGjAu9+4G9ah8baDxtoeGmt7GANVJoNcqfekNA+c/6esrCwiiRzjVbXILdcaBkzV0jx/5ebm5nXv3t2zbUJjbS9NRMXhtddeW/3TTz+tfxwKhbjjjjs44YQTKC4uRtrYMxpjWLx4MRUVFfTs2ZPCwsI217V8+XKWLVtGt27d6Nq17XF+KioqWLRoEYWFhZSUlLTYjrQ0DXUsBEgLCNGIlualOiPC2oIeFC2fiehYeb5JCwY4ZbdtWVNYSjDNkysDAxpvm2is7aGxtodBWBbJp1/aKsSDI7T0YJCj992enO4VfP/995t9+Spu6cBY4BZAK1L8EerUqdPdxx9//LH5bVwEajPQWFtKsxNxaJzgCYVCXHzxxcybN48LL7yQ3NzcVl/ndxJKxc4AddodygoBY+i6bIbfzbBeMBBgdN8eQAQ87NOg8baHxtoeGmt7BMQwIH2lZ8sPBgNsPbAn5/z9RdCTYd+VlZXVAdf53Q6bGWMiwIfuzTMaa3tpIioODVcYbEhCffrppzz44INkZrZ+FbpkSUJVVla2uSz1Gy3Ns4MBarM6kVW7Vks6fJaIWGi87aGxtofG2h7GQKXJJF/qPC3NGzhwIIsXL/buyhkqJuXl5UFgG+C7srKyiM/NsVYi4qCxtpd+0capcRLqnnvuYfvtt2913mRKQs2fP7/tN6aAhtI8L/tlqGRhRKjKK8JoL0JfRaJRvp67hAlL1hL2sLRG420PjbU9NNb2MAgVkVyMR0dokUiUH2YuomfPnuTk5OhV8/yXBuyDdprwjYgEjzvuuN3ffffdU7788suYrxy/ETTWltKAxyEcDjdJQu2+++5Eoy2PqZZsSai8vDztFRUDpzTP71aoRAgYQ/GK2X43w3rhSJRHP/0WgF3/vC+ke7Nb0njbQ2NtD421PQJi6Ju+yrPlhyIRnnnvayb8NAfQYUL95pZr3eZ3OyyXvnbt2gv/+c9/ApibbrrJk5VorO2liag4XH311UyYMGF9Eqo1yZiE6t27Nz///HPbb1Ah/Faap0chqc0g1OQUkF29xpOBT1XsDBANpnn2S7ezDo23LTTW9tBY2yNqYG00m06BGgKeleYJeXl5GGOC3qxBxaq8vDwN2BGYVFZW5t2VTFSbREQKCgoKhw0b5tk2obG2l5bmxeGLL76IOQlVuWIxvQoz6Zwewqxb1upt1fxprFk0k5JOaRRnmzbnXbNoBivnTaNrDvTID0LV8t+er23a26l5EsrvQcz/fudtHLDPHm3O8+fDDub6q69IUItaF9CtwgpGoDa7AKMVHUkhEkj3NBYab3torO2hsbaJUGky8XrwhJycHLKysvRI0H9BYJR7r3wiIpKbm1vQvXt3L+OgsbaU9oiKw4033hhzEmrA2knImijtVXl1cm+shcictufNdW+sheiCZk9KkOD2xyJZ+TEloS467yxeev5Zjj72BG6+/a4mz119+SU8Ne4xDv/Tkdx17wPtvIPN56FHnyDNo7KcBj9P+Yl/3X8vX385iVWrVtGrV2+OOe5ETjr1dMDpmVGvpXlWCBhDl5Vz/W6GwjmtyAjVEPBwjCiNtz001vbQWNsjIIbeaas9XYdgWLZsGUDI0xWpdrnlWvf63Q7bRaPR6MKFC2cvXLiw3qt1aKztpYmoOOy8886tPte4HK9XcQGypuWxozxjIhCuobKSmHtC9exZyuvlL3PN9TeSlZ0NQG1tLeWvvERpaa9EtXy9zu2UMG4OP/3wPUVFxfz9Hw/Ss7SUyV99yeWXXEgwGOD4k051SvMCEIlqaV6qMwjVuV3IqVqlJR0+M0AkmO55aZ7G2w4aa3torO0RNbA6mkPnQLWnpXn5+flEo1HtmeEzt1xrDPCRlmv5R0SksLCwaMiQIV6X5o1BY20d7Xq6mSxfvnz9mFCdOnXypQ1VVdVxleNtOXIrevYs5e0331g/7Z0336BnaS+GjxjZZN6PPnifIw4+kJFD+rPN8EGcdOxRzJ3TdIDQxYsWcs6Zp7L1sIEMG9CbP+6/F99+83WTeV5+4Tl2Gb0NI7fox9lnnMK6db+VFDYvzdtl9DY8cO/dXHLBOWw5qA87j9qKp596osnyFi1cyFmnncTIIf3ZethATjnhGObPn9fqe/7TUcdw3Y23sOPOu9Cnbz8OPeJPjD3yqCafgVcHOCrJCNRn5uglEpNENBD0NhYab3torO2hsbZKjfH+YnaZmZmkp6frf5T/AsBA9FzVd5mZmTmFhYVexkFjbSkNeBxaSuwYY1izZg1r166NaWByLy1duiTuMaHGHnkMLzz39PrHzz/7X8b++egN5qupruKU08/k9bff57/Pv0IgEOD0k45bf9XAqqp1/Pmwg1m6eDGPjPsvb73/MaefdS7R6G+/UM6bM5t3336Tx556hkeffIYvJk7gX/9ouyfmww/9k6223ob/vfcRfznhJK667GJmzvgVgFAoxHFHHUFuXh4vvPo/Xip/k9ycPI4/aiz19bH3IK1cu5bOnZ24NZTm6e+qqU+MoXDVfMTDcjAVG6c0r9bTWGi87aGxtofG2h4BgdK0NZ7+WCgYVqxYwerVq7VXhs/Kysrqy8rKHiorK/OsJEy1zxhjFi9ePO/NN9/0rFxVY20vLc2Lg2l2oBONRnnwwQcpKyujX79+viahAHKyc+gR58Dkhx4+lttvuYEF8+cD8PVXX/KPfz3CpAmfNZnvgIMObvL49rvvY7sRW/Dr9GkMGTqM8pdfYtXKFbz21vj1JXb9+g9o8ppo1HDnvfeTl5cPwGFH/InPP/uES9po35577cOxJ5wMwJlnn8dj/36QiZ9/xsBBg3mj/BWi0Si33XXv+vd8xz3/YKshA5g04XN2H7Nnu+9/8ldf8sZrr/LYU88CzglxWgDCWpqX8gzCuvxi8ipXaEmHj4KBAMfttBU1OQUEAt5VQ2i87aGxtofG2h5RA6uiuXQJVHmSjEoLBjhiz21ZGcpk4cKFm38FKi5uudYBwFtaruWbcGZm5n0HHHDADpmZmZ59wWqs7aWJqI0UjUa56aab+PLLLznuuON8K8drrHuP7nFfHa+ouJi99t6XF59/BmMMe+29L12KijaYb/asmdx9x618981kKlatXN/TadHCBQwZOoyfp/zI8BFbtTnOU6/evdcnoQC6duvOyhUr2mzf0OFbrv9bRCju1o2VK53XTP15CnPnzGbLQX2bvKaurpa5c2cDbSeipv0ylVNP+AvnXXhJTEkrlXoiQe+7+au2pQUD7DSwF2s6l5C2ejFepoA13vbQWNtDY22PkPHux4q0YJBRQ/pQ8mMFS5cuTfBAr6oFAhSihbe+McaEy8vLPwJKAC+3CY21pTpMIkpExgAfAoXGmNU+tQH4LQn1wgsvcOedd5KTk+NHczbQVhKqurq61ef+dNQxXHPFpQDccMvtLc5z8nFHU9qrN7fe+Xe6d+9B1Bj2G7PL+hK4rKzsdtuXlt70YFFE1pf2tfqatNZfs3L5EoYOHcoNN9xAbqcuZObkOjMZA6Fqli+YBUBBcQ8ysnKor6mmam0F4XA9c2bP4fQzTufIY47lnAsuXr98A4T08MMKgqHz6kV+N0ORmFh0hHjvddd/WLh6HQC3HbYnh2w7BIDaUJg97niK1TV1ADx83IEM6d6Fq8s/4fsFy1hdXQvA+xceTa9C/38U8VtHiLXaPDTWiTHiuFuZt7QCgAcv/hNH7zsKgJq6EEOPuZmKSucY86UbT2L1uhoef/MLps9fxup1NfTo0ok/7DScK4/bj065WRvdhoBASdraTX8zbRAMH330EYD2yvBZWVlZCHjS73bYLhFx0Fjby9cxokRknIi86uHyu4jIP0RkmojUiMg8EblPRAo2ZnnGmCZJqOuvv5599tlnczd7s6uurmbu3NYvb7zHnnsTCtUTDofYfcxeGzxfsWoVs2bO4JzzL2KX3fZg0BZDWLN6dZN5hg4fztQpP7K6omJzN79VQ4cOY/78+RQWFtKtaxf69R9Av/4D6NG9G7m5uU3mDdfXsWblEsKhOuYvXMTpp5/GHw48kDNOP63JfAKkBzQlbwODsLZTd0+v1KbaF4lG+WHBciZWhAlHvesN1dHi/Z8vflr/9+s//Lo+CdWgoqqW2StWM7K0a6KblvQ6WqzVxtNYJ96/X5uw/u8XPvx2fRKqwfuTp/PrguXsOnIAB+28JYtWrOFfr37Oefe9vEnrjRpYFsnDq91EJBLl57lLGTlyJAUFBRnerEXFqry8PL28vHxseXm5dnn0iYgE8/Pzdzz55JMvO/fcczO9Wo/G2l6pPlh5T/d2MTACOAH4PfDoxiyseRLq0EMP3WwN9UpDEiorq/VfoYLBIOM/mch7H08gGNyw23NB584UFnbhmf88wZzZs5jw2SfceN1VTeY5+JDD6dqtG6edeCxff/kF8+bO4a03XmPy119t9vfU4IADDqBz585cfPHFfPXFJGbPmM7ECZ9x3dWXs2z58ibzVleuBmDBoqWcetJJ7D5mL44++mgWzp/L4oUL2i0RVEp5IxyJ8sBHX/PIO58Qjmh3RIDO2Zn8uHA5389fCsB/Jv1E5+ymx4BDS4p574KjufyAnf1oolLKQoX5OXwzfQFf/eJcnfih8gkU5jetCjijbBd+fupyxl15DOOuOIYL/+wMffDel78kvL3xCEUiPPHWlyxYsIBoNNphKkaU8lB6VVXVVa+//voRU6ZM0SSR2uySJhElIplub6VlIlIrIp+JyOgWZt1FRH5w55kkIiNaW6Yx5idjzOHGmNeNMTONMR8AVwJ/FJG4dzJ33XVXbEmotGyMJPijlSCkNS2Pa5yE6tOnT5svz8/vRH5+yyUdgUCAfzz4MD/+8D377bkrf7v2Ki6/+vom82RkZPDkMy9RVFzMiX/5M/vvuRv/uv9egkHvPofs7GweeughSnv15v/+7//Yf+89+L8LzqW2pobibj2azBuqd3oTvP/+eFauXMGrL7/IAQccwAEHHMBO22/NwQc4PdsaSvN0yNPUJxg6rV2qA9wmAQHSw3WexqIjxfuw7YYiAk9N+omv5yzmlyUrOWLUML+b1WF0pFirTaOxTqy/7DcKEeGh8glM+HE2P85azPG/b3qovs3gUtLTfvtRsz7kVLmVFG9UMcJ6AYFuwXWeXzWvoqKCyspKLc3zWVlZWaisrOwFt2xL+cQYY5YvX774gw8+8Gyb0FjbK5ky/rcDhwPHA3OB/wPeEZFBxphVjea7AzgPWALcDLwuIlsYY2L95y0A1hpjWt2gRCQTaPzzcz7Aa6+9FlNPqBWVtazqtCNdC/PavZLe2rVrWb58BZ065VNcXNzmOE9VVdUsXbqEnOycDQcmT8tGsn4bCLx5Eqp5T6e77n2gzXY9PO4/TR7vuvsYxn8yscm0OYtXNnncq3dv/vXIuBaXd8HFl3LBxZc2mXbyaWdw8mlnrH/83MuvNXn+86++22A5b43/uMnj4uJibrvz79TXVlNfW0N6ZhahuhqKupeycsm89fNFoxEAzj3/Ii6+/GoAKpYuJByqI7egCzn5nQG9ap5NDMKaziUUrF6sJzE+M0A4PdPT8pqOFO8+XTqx++A+vD1lJssqqwgGhKN/tyWPfPad303rEDpSrNWm0Vgn1oCexew7egivfvoDS1auJRgIcMofd+KeFz5ucf4PJk/nn69+RlowwK1n/HGT1h01sDTSie7BtZ4lowxCUVER9fX1yXR+ZCW3TOso4BlNUPhHRKR79+6lw4cP92yb0FjbKym+aEUkFzgTOMEY85Y77VRgX+BknORTg+uNMe+58xwPLAAOBZ6PYT3FwNXAv9uZ9XLg2uYTL7300naTUMuXL2fZsmV0K+lDl65tj91RUVHBooo6Crv2oWtJSZtJqMrKSuavXEFe55706N273YHJ20pCpaLsvE7U11YTqqshMzuXQFrTf+1AIEg0EsaY30p/Gv728pLxKrkFI7q/SxZivD+J7Ejx/suOI/h4+jy+mL2IfYb1o7RzfvsvUut1pFirTaOxTqzTD96Zd7/8hU++n8lBO29Jn+4t/+D61Dtfcf59r5AWDPDUVUez96gtNnnd6RLZ5GW0JxwOE416OGChipUBKtDfhX0XDodDNTU1XsZBY22ppEhEAQOBdODzhgnGmJCIfAk0r0eY2GieVSIyrYV5NiAinYD/AT8D17Uz+y3A3Y0e5wML/vjHtn/NWZ+E6taNrrEkoRYtorCwkJJYklDz55OXl0dvTUK1KCMzh2BaOpFwiOzcDUsM0zMyqasJE6qvIzMnDxOJEAk7B69pGb91ftOr5tlDMORXLm9/RuU5AdLC9Z6X5nWkeO82qDf9igqYs3INf9lxpN/N6VA6WqzVxtNYJ94+22/BwNJiZi5cwellG45RZ4zhb4+/w13PfUj3Lvk8c+3xbD+09yavNyBQHKza5OW0RTCsWbMGwPuMl2pTWVlZGHjd73bYzhhjVqxYsXTFihWebRMaa3slSyLKUyKSD7wNVAKHtlfGZ4ypA9Zfoqgh8WPa+MV+1apVrFq1SpNQfhEoKOpBNBImPSt7g6dz8jtTV1NFzbo1RKMRIqF6ADKzc0lLz2i8GNKDEIpoWj7VGRFWF/aic8WChPTGUa0zQCg9C9PG99smr6ODxVtE+NcxB7C0soqdBpRu8Pyqqhpuf2cilbX166fd/vYkcjLTOHW3bRnYte2y8FTW0WKtNp7GOvFEhOevP4FFK9ewxzaDNnj+xiff5a7nPgRgh2F9eOHDb3nhw28BuO3Mgzd6vVEDiyMFlATXeFqaV1xcTDgctuL8KJmVl5dnACcCj5eVldW3N7/yhohIjx49em+77bbpQK0X69BY2ytZvmhnAvXALjjjQyEi6cBo4J5m8+4IzHPnKQS2AKa2tmC3J9Q7OImlg40xm30jWrduHaFQSJNQPgumpxNMb/miDmkZmRQUdadqbQV11VVIQMjKzSevoGiDebVDtiUMZNRVa8YxSQSiHmd/O2C8B3TtzICunVt8rro+xCvfTm8y7Z2fZwFw6LZDrE5EdcRYq42ksfbF4N5dGdy75ePdhcvXrP/79c+nNHluUxJRANnifRlmXV2dluYlhyjO+aHWKfisrq6uuqKiwss4aKwtlRSJKGNMlYj8C7hDRFbhJJr+D8gBHm02+zUishJYCtwErABebWm5bhLqXXc5fwE6udMAlhtj4upm2FIi6Pnnn2fXXXelpKREk1AJVlTS9pUAu/Ya0ORxRnYuGdm5bb7G4AxUrlKfYMitWtn+jMpTwUCAo0YPByDNw8shdYR4f3DRX9p8ftoNZ7T5WDk6QqzV5qGxToyfnryszefXvnPb+r/3HT2EBy/+02ZvQ0CgS7B6sy+3QVowwCG7jmDiT6+D8+O48pFbrjXe73ZYLmyM+deqVauYOHFiXfuzbxyNtb38TkQFgIar113mPn4KZ0ymr4H9jTEVzV5zGXAvMBj4DvijMaa1HcZ2wO/cv2c0e64/MCeexjYvzXvooYd4/fXXOeCAA+jSpUubr9UkVMegpXn2iIqwuksfOq+aR0BLOnyTFgyw+9B+rO7Sh8CqeeBRLDTe9tBY20NjbY+oERZGCigNriEgmz/WacEgO44YwEEHHcSXX34Z2OwrUHEpLy/PBM4AHiwrK/MsCaJaZ4wJl5eXj8eJw3h+O2ffrDTW9vI7EdUNN0Hklsyd6942YIz5CNZf2/uNWBbe7DWb1UMPPcT999/PlVdeSV5eXpvzJkMSqq5Ot+tYRbVHlBXEQFbNGjw4nlVxSkQsNN720FjbQ2NtE0O+1OH1z4QzZ86kpqZGjwT9FwEmowPH+y0RcdBYW8qXRJQ7ttMuwBjgQT/asDEakkINSaizzz6bP/3pT20OYp4sSag5c+a0/waVU5qnB7RWEAw51av9bob1olHDr8tWAisY3K0L4lF5nsbbHhpre2is7REQ6Bys8Wz50WiUWQuXM3XqVNCxanznlmt95nc7bCYiAZwr068Bom2d724KjbW9/OoR9RjOQOR3AeU+tSFuxpgmSajTTz+daBvdZ5IpCRUMBgmHPelRmVIEyAhCvZbmpbyoCKuK+tFl5Rwt6fBRKBLh7vFfEsrI4YHDdiU74E15scbbHhpre2is7RE1wvxwIb3TKjwpzasPR/j36xPp0aMHoVAoZ7OvQMXFLdc6H7hHy7V8kxEIBG4tLS3tP2rUqB2BtV6sRGNtL19qoI0xhxpjehljrjRepVc9MG7cuCZJqLYkWxKqX79+7b6/TTVxwmf0KylizZo1bc63y+htePTfydkRrmGw8g7zT6k2mhhD7rqVesnvJBEM13saC423PTTW9tBY20MwFAarEI8vr7p27Vqqqqq0RMh/DQNY66/oPopGo9HVq1evmDVrlpdx0Fhbyu8xojqUf//73zEnoXr16sXYsWO58sormTVrVqvzfvLJJ5x//vnstttu3HnnnW3O++OPP3LaaacxaNAgHnzwwSbldgMHDmwyb/MkVFpa01D/54nHueWGa/n+l1nrn6uqWsfWQwcyavTveO7l19bPO3HCZxx1eBkfT/yavv36t9q+UdvvwJff/0ynTs6FCV947mn+ds2V/DhtdpP5XntrPDk5yftjU0SPZ60gQHatJz/uqDgJEIyGvRnQr9E6NN520FjbQ2NtDxHoJN52lhCcH3zR0jzflZWVNYwbpHxWWVm55ocffvBsm9BY20uvChGH008/PeaeUA1JqECg9Y+4eRIqPT291XmbJ6Fyc3Nbnbe9JBTATrvsSlVVFT98/+36aV9OmkTXbt347tvJ1NbWrp8+8fPPKC3t1WYSCiAjI4Nu3bq32aMLoKi4mOwkTUQJkBkUT0+IVXKIirC82yCi7fy/Ku8ZoC4jx9NYaLztobG2h8baHlEjzAoVETXexdog9OzZk6KiotYPyFVClJeXZ5aXl1/nlm0pnwQCgUDfvn23OOSQQzK8WofG2l6aiIrD8ccf3+bzjcvxkjkJBTBw0GC6de/OpAmfr582aeJn7Lv/AfTu3Ydvv/n6t+kTPmfHXXbl5Ree44/778WWg/qw/VbDOPevp7FixfL18zUuzZs44TMuOf8cKteupV9JEf1Kivj7nbcBG5bm9Ssp4tn/PsVpJx7L0P69GLPzaN57560m7X3vnbcYs/NotujXkyMPL+PF55+JqQwwXk5pntHSPAuIMXRas0RLOpJEWrjO89I8jbcdNNb20FjbQzB0C1Z6Xpq3atUq1q5dqyVC/gsBL7j3yifRaDS6YsWKRT/88IOXcdBYW0oTUXFoq6fP2rVrm4wJlcxJqAY77bwbEz//7SIFkz7/jB133pXf7bTz+um1NTV89+1kdtplV8LhMBf+3xW89f4n/PvxJ1kwfx4Xn3d2i8setf0OXPO3m8nPz+fL73/my+9/5rQzz2q1LffefTt/OPgQ3v7gE8bstQ/nn3U6qysqAJg/by5/PfVE9vv9gbw1/mOOPvZ47rz1pjbf26bQ0jw7CJBZt057vyUBpzQv4nlpnsbbDhpre2is7SECeYF6vOz8JkBtbS2hUEiPBH1WVlYWLSsrm1JWVqZlkj6rqqpaN2vWLM+2CY21vXSMqDi0doW86upqQqFQTAOTJ0sSCpzyvL9dcyXhcJja2hqm/PQjv9txZ0KhEP99chwA30z+ivq6OnbaeTdKe/Va/9o+fftx3Q23cPAB+1BVtY7c3Lwmy87IyCC/Uz6I0K1b93bbcsSfjqLs0MMB+L8rrmLco//mu2+/Ycxee/Pfp8YxYOAgrrjmesDpzTX9l6ncf+/d7S43XgJkpgl1Ye0VleqiEmBF90EUL51BwOi+z08GqM/MJSre/Tai8baHxtoeGmt7RIwwO1xE/7SVBD24ah44pXm9evWitrbWszIkFZvy8vIs4Hrg2rKystr25lfeCAQCgT59+gzZYYcdMgFP4qCxtpcmouLQUoJp/PjxDB8+nAEDBviWhJozZw7hcDiuJBTAjjvvQnV1Fd9/9y1r16ym/4CBFBUXs+NOO3PJBedQW1vLpAmf06dvP0p79eLH77/jnrtuZ+qUn1izZjXRqHMgsGjBAgYPGRrTOlszdPiW6//OycklPz+flW7Z36wZM9hqm22bzL/1tttt0vpaY4D6iCahbCAmSueV8xE9efFVMBDgsG2HEEnLIM3LX7o13tbQWNtDY22PAIbS4BoCHh2hpQUDHLjjMO584XOqq6v1ZNh/9cBD7r3yRxh4LCMjo9uCBQuqPVyPxtpSmoiKQ/Mk0yuvvMJjjz3GE088QdeuXX1LQp188smMHz8+riQUQL/+Ayjp2ZNJn3/KmjVr+N1OOwPQvUcJPXuW8s3XXzLx88/YeZfdqK6u4rijxrL7mL2454GH6FJUxKKFCznuqCOoD216Se8G7RYh6tOBZVSzUFYQICNU43czrJcWDLD/lgM8X4/G2x4aa3torO0hAtni3RAyacEge2wziKsfeRP0MvK+c8u0Wr+UuPKcMSYMvOT1ejTW9tIxouLQuDTvlVde4dprr+X3v/89BQUFviah8vLy2k1ChcMt71N32nlXJk34nEkTnPGhGuyw40589MH7fP/dN+y0y67M/PVXKipWcemV17DDjjsxaPAW63sstSYjPYNoJNLmPLEYMGgQP37/XZNpP3z3bcszbyIBstL0qnk2iEqAJSVDPS0HU7FJRCw03vbQWNtDY22PiBGm13cj4ulV8wKcfPLJ9OjRQ0vzfFZeXp5VXl5+r1u2pXySiDhorO2lPaLiUFZW1nn58uVrAEaMGMHVV1/N5MmThwJvZ2RkrMvOzm7clXcUJCYJ9eijj5Kfnz+5rbZXVlbmAMOaT99xl1255vJLCYdD63tEAfxux5259spLqa+vZ6dddiUYTCMjI4MnHnuYY447gWm/TOUf99zZ1irp1bsPVVVVfP7pxwwbPoLs7Gyyc3LafE1Ljjn2BB596F/ccuN1/Pmov/DzlJ948flngLYHkN8YBqjX8aGsICZK0fLZWtLhs2jUMLdiFZGKb+jaKRsC3pxkaLztobG2h8baHgEMfdNXelaaF41GWbBsFS+88Co1NTXaI8p/9cBtaLmWb0QkkJmZ2WeXXXZ5vmvXrqGysjKvVqWxtpQmouKwYsWKmPd+I0aMmOze89e//jXW13DUUUfFPO/SpUtjbU6rdtplN2praxg4aDBdu3ZbP/13O+3CunXrGDBwEN269wDgjnvu545bbuTxR//NiJFbccU1f+OU449pddmjRu/AMcedwNmnn0JFxSrOu+j/uODiS+NuY+8+ffnnw49z0/XX8Pgj/2a7UaM569wLueqyi8nI2Pw/WunhrB0ESA/X+d0M64UiEW57ayIA9/55X4IBb3ZLGm97aKztobG2hwhksum97FtTH47wwMufsHbtWtDzI9+55VqL/G6H5TLq6uru+uCDDwDGPvvss55sgBpre+kXbRx22223TL/bsLn17t2HOYtXbjC9V+/eG0wvO/Tw9Ve2a9B4np123nWD19x0213cdNtdTaZ9/tV3rS6jwY/TZjd5vO/+B7Dv/gesf3z/PXdR0rMnWVmbtxdnQ2lerfaKSnlRCbC0ZBjdF0/Vqy35zAB1Wfmel+ZpvO2gsbaHxtoeESP8GurG4PRlnl41r2/fvlRVVWlpns/cMq17gfP0Smr+CQQCgf79+48YNWqU11fN01hbSBNRcfjmm2/0ZzefPDXuUbbaZlsKC7vw9Zdf8NC/7uf4E0/Z7OsxoEkoS4iJ0m3JNC3pSBKZtevcWHiTjNJ420NjbQ+NtT0CGAamL/esNM9hWLBgAcYYLRHyXx1wmXuvfBKNRqNz586dunr1ai/joLG2lCaiVIcwe9Ys/nHPXaxevZrS0l6cevpZ/PXc8/1ulurg9OQlmXif/tV420NjbQ+NtT28TUI5otHoZh9/VG00vSRmEohGo97VxP5GY20hvcxIHLbbbruUK83rKK752018+d3PTJ+ziA8//5JzL7y4zasEbiy9ap49jFvSYfRqS0mhLivf01hovO2hsbaHxtoeUZzSvKinR2hCnz596NKli5bm+S8Tp1xLz7181FCat/fee3sZB421pbRHVBy0NC/1aWmePcRE6b54qv6aniQyays9L83TeNtBY20PjbU9AhgGpy/zvDRv3rx5iIiW5vmvDjgPLdfyVTQajc6ePfunBJTmaawtpD8hKaWspb+iJxPv+yFqvO2hsbaHxtoe3vaGcgQC+v+URLL9boCCQCAQTMBqNNYW0m/bOGhpXurT0jx7GAmwrMcQPYnxWTAQ4A9bDWbX3fcgEPSuk67G2x4aa3torO0RRZgZ6upZMiotGGDvUUMZM2YMxcXFiTjxVm3LBG5Fy7X8FM7Ozn7xyCOPTD/xxBO93CY01pbS0rw4fPrpp9plMMUZoCashXk2CJgoJYum+N0M66UFAxy81SDP16PxtofG2h4aa3sExTA0Y6lny08LBtlv9Bbc+MR9oAMn+66srKwWON3vdtjMGBMGnnBvntFY20sTUXEoLi7WjjIWCAA62kTqM0A4LZO0cJ32gPNZImKh8baHxtoeGmt7GAP1BMkgglcXtTNAYWEhVVVV+u/ks/Ly8gDQA1hSVlamh+U+SUQcNNb20r7McRg2bJheRSPFCZChpXlWMBJgZdf+WtLhM2MMC9dU8XOgs6fjf2i87aGxtofG2h5RhLmhIs/2E8YYlq5ax3777UdhYWG6JytR8cgALnXvlQ9ERC644IKBs2bNunHFihVexkFjbSntERUHm0vzJk74jKMOL+P7X2ZRUFDgd3M2mxeee5q/XXMlP06bDfx21bx4/f3O23j37Td5a/zHm7mFyisBE6XH4l/8bob16sMRbnz9E+AT7v3zvgTTvdktabztobG2h8baHkExbJGxzLPl14XC3PP8B0z4aY5n61Cxc8u1zvO7HZbLnD179t0XXnghACeffLInK9FY20t/QopDqpXmXXTeWZx6wl88X89PP/7AX089ke1HDmWLfj0Zs/NoLrvofGbNnOH5ujdGoJ0o9ysp4p23/tdk2mlnnsXTz7/iYavU5maA+vRsTy8ErWJjgKh4fVFujbctNNb20FjbwxioiaZjPAy2ATIyMkhPT0+p4/2OqLy8PFBeXj7ALdtSPsrOzs4ZMGCAZ9uExtpeGvA4aGle/N5/7x0OO2h/6uvrueeBB3n/k4n8/f5/kd+pE3fdfovfzduAABnB+EvzcnPzKOzSxYsmKY8YCbC6qLeWdCSJUEa2p7HQeNtDY20PjbU9oggLIwWelnCD0K1bNwoKCrQ0z38ZOANY67mXjwKBQKB79+59t99+e69L8zTWFtI9dxziKc1bu3ZtoLVbdXW1xDrvunXrYpp3U99bXV0d1111GaNGDGGLfj054uAD+f67bzaYb/JXX/D7vXZji349OeQP+zHtl6mtLrOmuppLzj+HMXvtwyNP/Jdddx9D7z592Xa77bny2r9x8+13r5930oTPKTtgH7boW8LorYdz603XEw6H1z//58MO5torL+X6q69gq6ED2H7kUJ75z5NUV1dx8flns+WgPuyx0/Z8+P749a+ZOOEz+pUU8cH4d2NuswFee+N/HLjvnmzRrye7/W477rnr9vVt2WX0NgCcftJx9CspWv/473fexgH77LF+OdFolHvvvoMdtxvBFn1LOGCfPfjog/fXPz9//jz6lRTx9v9e58jDyxjavxe/33t3Jn/9VattU5tXwETptmQ6AaPjIvpNgMy6Kk9jofG2h8baHhprewTFMCh9BUHxrkuUYFiwYAErVqyo92wlKiZlZWW1ZWVll7plW8on0Wg0OmfOnKnPP/+8Z8PTaKztpYmoOMRTmldQULBta7cDDzxwYON5u3fvvnVr8+61115bNJ63b9++I1uab1Pf2y03XMdb/3udO+99gP+98wF9+/fnuKPGsrqiosl8N//tWq689m+89tZ4ioqKOfm4owmFQi0u8+OPPmDVqpWcfta5LT7fMNbUksWLOPEvR7LVNtvy5viPufHWO3j+6f/yj3vuajL/S88/S5cuXSh/8z2OP+kUrrrsYv566kmM2n4H3nj3Q3bbYwwXnnMmNdXVG93mLydN5KJz/8qJp57G+I8ncPPtd/Hic89w/71O0uy1t5xE1x33/IMvv/95/ePmHnv4IR558AGuuOZvvPX+J+w+Zk9OPeEYZs+a2WS+O269idPOPIs3x3/EgAEDOffMU5sk4JR3DFCXmaclHUnAAJFA0PPSPI23HTTW9tBY28MYWBfN8Lw0LysrS0vzkoBbrrWllmv5Lzc3Ny8BpXkaawtpwOMwaNCglOyqW11dxX+ffJwrrr6ePffeh8FDhnLrnfeQlZXFc8/8p8m85130f+y2x54MHTacu+59gBXLl28wXlKDObNnATBo0OA21//UuMco6dmTv918O4MGb8H+B/yBCy65lEcefIBo9LdfOYcNH8E5F1xM/wED+eu5F5CZmUWXLl046i/H0X/AQM698BIqKlYxdeqUjW7zvXffztnnns/YPx1Fn7792G2PPbno/y7n6afGAVBUXAxAp04FdOvWff3j5h5+8H7OOOtcDj7kMAYOGszlV13H8C1H8NjDDzaZ77Qzz2avffZjwMBBXHDxpSxcMH/956a8ZURYW9AD49V1oFVcwmmZnsZC420PjbU9NNb2MAjLIvkYj0vzunTpQqdOnfRiTv5LB8a698ongUAgUFxc3HOrrbbyMg4aa0vpF20cJk2aFHNX3TVr1nzb2nNpaWlNfs9ZunTp963NGwgEmsw7d+7cH2NtQ6zmzplDKBRi1OjfrZ+Wnp7O1ttsx4xfpzeZd7tRo9f/3bmwkAGDBm0wTwMT489WM36dznbbj0YaHUiOGv07qqqqWLxoEaW9egEwdPjw9c8Hg0EKCwsZMuy3aV27dgNg5YoVG93mqVOm8PVXX3Lv338rG4xEI9TV1lJTXU12Tk6776eyci1Llyxp8nk2vKepP//UZFrj99Ste4/17R80uElHOOWBgDF0XZacA+bbRoDM+moCHv7UrfG2h8baHhprewTEMCB9pafrEAyLFi0CaLnbvEqYsrKyOuA6v9thu2g0Gp07d+70uXPnelauqrG2lyai4tC7d++Ye5B16tQp5gELvJrXb/0HOBWIM2b8yqjtR7czd/vS0polykWaTGtIZDXuRRWvquoqLrr4UvY78KANnsvMytro5bamyXtqaL+OdZEQBqjN6kRW7VpPf19VbQsGAuwzrD+h9CwCAQ8HK0fjbQuNtT001vYwBipNJvlShxcd4NKCAXbdeiC/Lq1i3bp1Wu3ps/Ly8iCwDfBdWVlZxOfm2CocDAZfHTJkSJ9+/fp5dnKisbaXlubFobS0NCUTd3379SMjI4PJX32xflooFOKH779l8BZDmsz77Tdfr/97zerVzJ45s9XeO7uP2ZMuXYp46IH7Wnx+zZo1AAwavAXffP1Vkx5Uk7/6gry8PEp69tzo97UxbR4xcitmz5pB//4D6Nfs1nCSnJ6eTjTS+vdkfn4nuvfo0eTzbHhPzT9P5R8jQlVekZZ0+CwtGOCw7Yex7157EkwLerYejbc9NNb20FjbwyBURHI9K81LCwb5w04j2HXXXcnPz/dkHSouacA+aKcJ3xhjwi+99NJ/br755urTTjvNyy9ZjbWlNOBxiKc0ryPJycnlmONO5OYbrqWgcyGlpaU8+M9/UFNTw5+P+kuTee+7+w4KCwsp7tqNO269kS5durDf7w9sdbm33nUPZ512EqccfwwnnHwqffsPoGLlSv73ejkLFy7g/gcf4dgTTuKxhx/i2isv5bgTT2HWzBn8/Y7bOPn0v26WHhLxtPncCy7h5OOOonvPXhx40MEERPj55ylM/2UqF192JQC9evfh888+YdQOvyMzI5OCzp03WM5pZ57DPXfeSp9+/Rm+5QheeO5pfp7yE/c88NAmvx+1eQSMoXjFbL+boUhMLDTe9tBY20NjbY+AGPqmr/J0HYLhlVdeAS3N851brnWb3+2wXSLioLG2lyai4jB48GDvfq73gYlGSUtz/gUuvfIajIly4Tlnsq5qHVtttQ1PPvPCBkmWS6+8huuvvoI5s2cxbMsRPPLk02RkZLS6jv1+fyAvvfYW//zHPZz319OpXFdJz56l7LTLblx86RUA9CjpyeP/eZZbbriWA/+7BwWdC/nT0cdwzvkXbZb3GU+bx+y5F+Oeeoa/330HD95/H+npaQwYNJgjjz52/TxXXvs3brzuap7971N071HC5199t8FyTjzlNCor13LT9Vc7Yz5tMYSHx/13fbmi8p9BqMkpILt6DaLXXPKNMYaVVbXUZneiZyBEwKPf3DTe9tBY20NjbY+ogbXRbDoFajzZTxhjWFVZw+DBg1m8eHFKHe93ROXl5WnAjsCksrIyvZy0D0RESkpKepxyyimjCgoK3r7ooos8iYPG2l4S64DSNhORTsCaHXfcsevEiRObjIQ9efLkoWlpaW8PHjx4XU5OTq1PTWxXZWVlzrRp04YVdislLSMTgOOOGku//v352823+9w6b0yc8BlHHV7G97/MoqCgIKbXCJAehFCEpDukDYfqWbJwAf/7eh5rqlv/sW76t58x/tn7efnMw9myZ9cEtrBjiYqwuksfOq+a5+kg2aptdaEw5z73HqH0bB44fDeyPSrP03jbQ2Ntj1SI9WvfT+eSFz/gk/vPZZvBpX43J2lFjbAwUkBpcA0B2fyxrq0PUXb5o8xcVkUkEtl9xYoVn272laiYlZeXZwJnAA+6PWZUgolIViAQeKmkpKTv6NGjd37llVfWerEeL2PdcA4PFBhjPGm/2njaIyoOqVKat2b1ar7+6gsmTfycY447we/mJBUD1OsweVYIGEOXlXP9bobCSQBnhGo8v2qextsOGmt7aKztERBD77TVnq5DMCxbtgy0NM93bkLiXr/bYbtoNBpduHDh7IULF3p91TyNtYU0ERWHVCnNu+SCc/jh+2859fS/tjpWkq0ECAYgEk2+HlFq8zII1bldyKlapSUdPjNAJJju2SC0zjo03rbQWNtDY22PqIHV0Rw6B6o9LeHOz88nGo2mxPF+R+aWa40BPtJyLf+IiBQWFhYNGTLEs21CY20vTUTFIT8/v8NfZTASDvHPhx757XEoJTp5tWj09qOZMXcRAOH62Ht6BtKDhELJ1y0qEg4RiYRZtXQBq9ZWtzrf2lXLAJi5vCJRTeuYJAClBbB4BRjPrkqr2lEfjrCuth6y0pi6ZCUZQY/OMDTe9tBY2yMFYr2gohKAafOX+dyS5GYQ6nJLyKxa7EnSsS4UpqqmjszMTMLhsF6G0X8BYCDwid8NsV1mZmZOYWGhl+fAGmtL6RhRMWirvrSjjBFVW1ubMWXKlBHGGN25dmArVqzgjDPOYO7ctksRAiJEddtWSimlkl4gIESjus9OElFgqDHmV78bopSfRCQLeMF9ONYYk7Tnua3RMaKSm/aIikMrpXlRwCR7gicrK6t+yy23/CkUCmnM22GMyRORdX63o7na2tpMY0z2nnvu+ddx48bNa2veqDEZQOp2d9sM8vPzg2efffbO999//4TKysrk6wJnjwwRub1Lly5damtrT6+qqqrxYiUab3torO2RKrGORnWf3Z4ExLphX9Rpiy22WOTB8lUc3HKtA4C3tFzLPyIiRUVF3bwcnkZjbS9NSsQhMzOzpWTTEmNMqKqqKic3N9eTE6jNJSsrqz4rK0sPdNpgjJH6+vrsjIyMGhEPLsuyCWpqarLT09PXnX322e8//vjjlX63p6MrLy9PB4b97ne/+66srEwHJvWJ+4vb2vT09Pytt976+/fff9+TJLDG2x4aa3torO3hdawb74uys7OT+sdlSwhQ6N4rH6WlpaV7vE1orC2lpXkxaK9b3+TJk69KT08/s0ePHvW5ubnVyZbAUB2bMUaqqqpylixZkhEKhf41atSoG/1uk1Kbi4ikA6e4Dx8xxujJpFJKqYTSfZFSTaXCNqGleclNe0TFYcSIEa19XjeHQiEWLVp0nIjkoBndjkyMMTkiUk3yXDjPGGNCkUjkUeBmvxuTKtxfVw8BXtVf0v1jjAmVl5c/ghMLz2i87aGxtofG2h5exzpR+yIVG922/afHZ8prmojaDEaNGhUFbpw8efK9QAnO6P+qA4pEImlr1qzZu6Cg4P1gMJgsdcpRYPGoUaO0HE8ppZRSSimlVIempXkx0G59SinlDRERoJP7cK3RnZJSSqkE032RUk2lwjah5/DJTXtExaGN0jyVItzuoUcBz2j30NSmsU4amSLy3+7du5cOHz58N8DLwco13hbQWNtDY22PBMQ6IfsiFRvdtpOCHp8pT2kJWRzq6uo6XCZYxc0AFSTP+FDKOxrrJBIOh0M1NTVexkLjbQ+NtT001vZISKwTsC9SsdFtO0no8ZnyipbmxUC79SmllDfcS2a/4D4ca4yp9bM9Siml7KP7IqWaSoVtQs/hk5uWmsVhu+22S/e7Dcpb5eXlGcCJwONlZWX1frdHeUdjnTxERHr06NF72223TQc8OdDReNtDY20PjbU9EhHrROyLVGx0204OenymvKSleXGorKyM+t0G5bkoMNO9V6lNY51E6urqqisqKryMhcbbHhpre2is7ZGQWCdgX6Rio9t2ktDjM+UVLc2LgXbrU0opb6RC12+llFIdm+6LlGoqFbYJPYdPblqaF4cdd9wxw+82KG+Vl5dnAmcAD5aVldX53R7lHY118ggEAoGSkpK+o0ePzsC7rt8ab0torO2hsbZHImKdiH2Rio1u28lBj8+UlzQRFYeVK1dG/G6D8lwEmOzeq9SmsU4OERF5Pz8/v28kEvFybACNtz001vbQWNvD61gnal+kYqPbtv/0+Ex5SkvzYqDd+pRSSimllFJKqY5Bz+GTm/aIioOW5qU+t3vo+cA92j00tWmsk0ciYqHxtofG2h4aa3vofsIuGovkoNud8pJeNS8OCxcuDPvdBuW5MDDevVepTWOdBERErrnmmuDixYs/+fHHH72MhcbbHhpre2is7eFprBO4L1Kx0W3bZ3p8prympXkx0G59SinljVS4KotSSqmOTfdFSjWVCtuEnsMnNy3Ni4OW5qU+t3vo5cAt2j00tWmsk0cgEAj07t170Lbbbuv1VVk03hbQWNtDY22PRMQ6EfsiFRvdtpODHp8pL2lpXhxmzJgR8rsNynMhnOy/xjr1aayTRDQaja5YsWLRDz/84GUsNN720FjbQ2NtD89jnaB9kYqNbttJQI/PlJe0NC8G2q1PKaW8kQpdv5VSSnVsui9SqqlU2Cb0HD65aWleHHbbbbdMv9ugvFVeXp4FXA9cW1ZW1uG+cFXsNNbJIxAIBPr06TNkhx12yMS7rt8ab0torO2hsbZHImKdiH2Rio1u28lBj8+Ul7Q0Lw5Tp06t97sNynP1wEPuvUptGuskEY1Go0uXLp379ddfexkLjbc9NNb20Fjbw/NYJ2hfpGKj23YS0OMz5SUtzYuBdutTSilvpELXb6WUUh2b7ouUaioVtgk9h09uWpoXBy3NS31u99DbgEu1e2hq01gnjWhGRsYXu++++wF9+/ZNx9uu3xpvC2is7aGxtkcCYp2QfZGKjW7bSUGPz5SnNBEVBy3Ns0I9zpehxjr1aayTgDGmvry8/GbgMaDKw1VpvO2hsbaHxtoensY6gfsiFRvdtn2mx2fKa1qaFwPt1qeUUkoppZRSSnUMeg6f3LRHVBy0NC/1ud1D7wXO0+6hqU1jnTwSEQuNtz001vbQWNtD9xN20VgkB93ulJc0ERWHb775ps7vNijP1QGXufcqtWmsk0DDYJhpaWnpBQUFlJWVebUqjbc9NNb20Fjbw9NYJ3BfpGKj27bP9PhMeS3gdwOUSkI1fjdAJYzGOklEo9FIAlaj8baHxtoeGmt7eB7rBO2LVGx0204CenymvKKJqDhst912WpqX+jJxuodqrFOfxjpJBAKBQP/+/UfsvffeXsZC420PjbU9NNb28DzWCdoXqdjotp0E9PhMeUlL8+KgpXlWqAPOQ7uH2kBjnSSi0Wh09uzZP61evdrLWGi87aGxtofG2h6exzpB+yIVG922k4AenykvaY8opTaU7XcDVMJorJNEIBAIJmA1Gm97aKztobG2h+exTtC+SMVGt+0koMdnyiuaiIqDluZZIRO4Fe0eagONdZIIBAKBvn37DktA12+Ntx001vbQWNvD81gnaF+kYqPbdhLQ4zPlJTHG+N2GpCcinYA1QIExZq3f7VFKqVTRcFUW9+FYY4xeulcppVRC6b5IqaZSYZvQc/jkpmNExaG4uFj8boPyVnl5eQDoASwpKyuL+t0e5R2NddKIisjkgoKCvNLSUs9+GdF420NjbQ+NtT0SEOuE7ItUbHTbTgp6fKY8pYmoOAwbNizD7zYoz2UAl7q3Dpf5V3HRWCcBY0x9eXn5rcBtgJfJfo23PTTW9tBY28PTWCdwX6Rio9u2z/T4THlNS/NioN36lFJKKaWUUkqpjkHP4ZOb9oiKg5bmpT63e2g/YI52D01tGuvkkYhYaLztobG2h8baHrqfsIvGIjnodqe8pFfNi4OW5lkhAzjdvVepTWOdBEQk67DDDnvx4osvfvPpp5/O93BVGm97aKztobG2h6exTuC+SMVGt22f6fGZ8pqW5sVAu/UppZQ3UuGqLEoppTo23Rcp1VQqbBN6Dp/ctDQvDlqal/rc7qHDgKnaPTS1aayTS25ubl737t09+47VeNtDY20PjbU9EhVrr/dFKja6bScPPT5TXtHSvDgMGjQo3e82KM+lA2Pde5XaNNZJIhAIBIqLi3tutdVWXsZC420PjbU9NNb28DzWCdoXqdjotp0E9PhMeUlL82Kg3fqUUsobqdD1WymlVMem+yKlmkqFbULP4ZOblubFoXfv3tqDLMWVl5cHgW2A78rKyiI+N0d5SGOdXPLz8wv69+/v2XesxtseGmt7aKztkahYe70vUrHRbTt56PGZ8op+0cahtLRUE3epLw3YB03S2kBjnSQCgUCgc+fOxQMGDPAyFhpve2is7aGxtofnsU7QvkjFRrftJKDHZ8pLWpoXA+3Wp5RS3hCRDOB69+G1xph6P9ujlFLKProvUqqpVNgm9Bw+uWnmMQ6DBw8O+t0G5a3y8vI0YEdgUllZWdjv9ijvaKyTgzGmvry8/GqcWHh2tRSNtz001vbQWNvD61gnal+kYqPbtv/0+Ex5TUvz4lBUVKSJqNQXBEa59yq1aayTRyJiofG2h8baHhpre+h+wi4ai+Sg253yjJbmxUC79SmllFJKKaWUUh2DnsMnNy3Ni4OW5qU+t3voGOAj7R6a2jTWyUFEskTksa5du3YfOHDgwRMmTKjyYj0ab3torO2hsbaH17FO1L5IxUa3bf/p8ZnympbmxSE/P18/r9QXAAai24YNNNbJo1MwGCwuLCz0MhYab3torO2hsbZHImKdiH2Rio1u28lBj8+UZ7Q0LwbarU8ppbwhIlnAC+7DscaYWj/bo5RSyj66L1KqqVTYJvQcPrlpaV4ctDQv9bndQw8A3tLuoalNY508RESKioq6efkdq/G2h8baHhpreyQi1onYF6nY6LadHPT4THlJu8DFITMzU/xug/KcAIXuvUptGuskkpaWlp6dne1lLDTe9tBY20NjbY+ExDoB+yIVG922k4QenymvaGleDLRbn1JKeSMVun4rpZTq2HRfpFRTqbBN6Dl8ctPSvDiMGDFCP68UV15eng4cArxaVlYW8rk5ykMa6+QhIlJcXNxj5MiRnn3HarztobG2h8baHomIdSL2RSo2um0nBz0+U17SL1qllFJ+iorIjM6dO5u8vLyo341RSillJd0XKdWUbhPKU1qaFwPt1qeUUkoppZRSSnUMeg6f3LRHVBy0NC/1ud1DjwKe0e6hqU1jnTwSEQuNtz001vbQWNtD9xN20VgkB93ulJf0qnlxqKur0+5jqc8AFe69Sm0a6+SRiFhovO2hsbaHxtoeup+wi8YiOeh2pzyjpXkx0G59SinlDRHJBP7pPvyrMabOz/YopZSyj+6LlGoqFbYJPYdPblpqFoftttsu3e82KG+Vl5dnACcCj5eVldX73R7lHY110hAR6d6jR4/e2267bQbgyYGOxtseGmt7aKztkYBYJ2RfpGKj23ZS0OMz5SktzYtDZWWlXjEg9UWBme69Sm0a6yRSV1dXXVFR4WUsNN720FjbQ2Ntj4TEOgH7IhUb3baThB6fKa9oaV4MtFufUkp5Q0SygBfch2ONMbV+tkcppZR9dF+kVFOpsE3oOXxy09K8OOy4444ZfrdBeau8vDwTOAN4sKysTLtlpzCNdfIIBAKBkpKSvqNHj84APDnQ0XjbQ2NtD421PRIR60Tsi1RsdNtODnp8prykpXlxWLlyZcTvNijPRYDJ7r1KbRrrJGGMMVVVVWuWLl3qZSw03vbQWNtDY20Pz2OdoH2Rio1u20lAj8+Ul7Q0LwbarU8ppbyRCl2/lVJKdWy6L1KqqVTYJvQcPrlpaV4ctDQv9bndQ88H7tHuoalNY500TDAYXDh06NCtt9xyy3S87fp9PhrvlKextofG2h4JiHVC9kUqNrptJwU9PlOe0kRUHBYuXBj2uw3Kc2FgvHuvUpvGOgkYY+rKy8vPArYBqj1clcbbHhpre2is7eFprBO4L1Kx0W3bZ3p8prympXkx0G59SimllFJKKaVUx6Dn8MlNe0TFQUvzUp/bPfRy4BbtHpraNNbJIxGx0HjbQ2NtD421PXQ/YReNRXLQ7U55SRNRcZgxY0bI7zYoz4VwBubTWKc+jXUSEJFM4O9dunQpLC4ulrKyMq9WpfG2h8baHhpre3ga6wTui1RsdNv2mR6fKa9paV4MtFufUkp5IxWuyqKUUqpj032RUk2lwjah5/DJTXtExWG33XbL9LsNylvl5eVZwPXAtWVlZR3uC1fFTmOdPAKBQKBPnz5Ddthhh0y8uyqLxtsSGmt7aKztkYhYJ2JfpGKj23Zy0OMz5aWA3w3oSKZOnVrvdxuU5+qBh9x7ldo01kkiGo1Gly5dOvfrr7/2MhYab3torO2hsbaH57FO0L5IxUa37SSgx2fKS1qaFwPt1qeUUt5Iha7fSimlOjbdFynVVHvbhIjkA/8HHAYMAOqA6cA/jTHjRCQb+C/wO6Cn+7I9jTEfbWR7ngN2BYqBKmAqcIsx5g33eQHOBs5w27PKbf95tHEO757n3wEcCnQCpgBXGWPe2ph2qthpaV4ctDQv9bndQ28DLtXuoalNY508AoFAoF+/fsO23357r7t+a7wtoLG2h8baHomIdSL2RSo2um0nh9a2CRHpAnwKDAcqgTeAamB74ARgHJDhPv4KaHWk8zhiPQD4BKgAdgJ2Bl4Rkf7GmAXABcBdwGrgKZyk1XkxvM2ngIOBn4B3gSOB10Vke2PMdzG8Xm0kTUTFQUvzrFCP82WosU59GuskEY1GowsXLpyBt7HQeNtDY20PjbU9PI91gvZFKja6bSeBNraJ63GSUKuAUcaYOQ1PiMiWAMaYNUAft2dVTRuriSnWxpjRjdZRBKzAyWX0ARbgJJAAbjPG3Coi2wDfutOKgQ16RInIVjhJqBCwhzFmlYiswElgXQUc0Vab1KbR0rwYaGmeUkp5w7088D/dh381xtT52R6llFL20X2RUk21tU2IyAKgFLjdGHNpO8tpnIhqUponIicAj7fx8uuNMdc1mv9sYBhOb6htcHowHWiMiYjIJ8BuwDPAKcDRwMPuSw8yxvyvhbY1rP8XY8wwd9qR7jJmG2MGtPXe1KbRHlFx0NK81Od2D70XOE+7Aqc2jXVyMMbUlZeXn4UTC/FqPRpve2is7aGxtofXsU7UvkjFRrdt/7WzTXR37+ds4mp+TktLu3/UqFF7TJ48+eNwOBxp9vykZo+PAPZw/14DvGGMaXjNLTgle0e5t5ba21wP935do2kNf5fE8gbUxtOr5sXhm2++0V9HUl8dcJl7r1Kbxjp5JCIWGm97aKztobG2h+4n7KKxSA6txWGpe99vU1cQDocj33///ectJKE2YIwZA2QBe+Ikx+4TkUPd597C6S31f8BNwAE4g5oDLG9lkUvc+7xG0/Ld+8VxvA21EbRHlFIbaquOWaUWjXXySEQsNN720FjbQ2NtD91P2EVjkRxaisOrwFnAKSLyr2ZjRA0xxkyLcdnDgfNqa1vt9LYaeFtEcoEaY0zUGFPnluEtxrnK3VY4g5anG2Nm4FwBr6HsLtddztfutBKgAFhjjFnMb2NIDRKRLsaYVcCO7rSG55RHNBEVh+22205L81JfJm5XYPSKKalOY50ERCQjLS3tjtGjR+85fPjwXcrKyio9WpXG2x4aa3torO3haawTuC9SsdFt22ftbBPXAvsAQ4AfRORtnJK2bXFK5sa4yxgHBBu97jI3QfSIMeYzY8y48vLyZ2m/DHNf4AER+RRngPTR7roNMN6dZw8RuReYiDM4+R8bvb6hZ9QtwPHAE8AJxpjvReQN4CDgYxH5HvgzEMXpVaU8pKV5cdDSPCvU4ez0NNapT2OdHALhcHjAF198Mf/VV18Nebgejbc9NNb20Fjbw+tYJ2pfpGKj27b/Wt0mjDErgR2Am4GFOFeeOxzn6nNPNJr1eOAvjR7v704b1GhaLLGeDczASX6dAvQC3gL2N8Z87s6z2F3Gke56vgVOjuF9Hgs8gjNe1FjgR6DMGPNNDK9Vm0B7RCm1oWx0x2cLjXWSCAQCwfbn2mQab3torO2hsbaH57FO0L5IxUa37STQ2jbhXkn+SvfWImNMrAP/txlrY8z3/DZIeWvzTAG2azxNnCvfP9ponhOAE5q9bjVwqntTCaQ9ouKgpXlWyARude9VatNYJ4lAIBDo27fvsL333tvLWGi87aGxtofG2h6exzpB+yIVG922k4AenykviTHG7zYkPTebugYocLO/SiU1EemDUx+tVLLLAG53//4/oN7HtqjEWGGMmed3I5RKFrrPjpln3x0ikgW8gNMz4yp0X6RUw/FZPXCQMabDjdWl5/DJTUvz4lBcXBxr90LVQZWXlwdwaoSXlJWVRf1uz8YQkT4iMs0Yk+V3W5KZiNC5c2dWr16NJuT9l56eTigUmujV8jXeyUNEat2r6nhyQpkK3+MqNqkQaxHpExCZFtV9dptEhKIuXWrz8vKGrlu3bq5Hq8lOT0/f08t9kYqN7rOTR3p6ejQYDPYBpnux/FT4HlcbRxNRcRg2bFiG321QnssALnVvHS7z7yo2xmTtc+TZFHYr9bstSSsQELYd2I1vZy4jGtWDHL9EwiEmvfU0nXIzGTHmCCTgzW5J450cKpYtZPyz92fh9P7wqldUKnyPq9ikQqyLo8Zk3XHEXgzsWuh3W5LWrJVrmZrfJ+t///tfCeBJIioQCGT26NEjcPmfd2ZEv+5erELFyBCgumAgOWtmImhuwg91oTAX3f8qFfXBQE1NTQ88SkSRGt/jaiNoIioOn376qQ6Yl+Lcy4ae53c7NofCbqV0Le3vdzOS2rxqKCrp53czrBYO1ZNbUEQE6NKjL2np3uX7Nd52SKXvcdW2VIr1wK6FbNmzq9/NSGoX/+tR8LBkLhqNVs6fP5/BpUVsM1h/yPNfNXQr8bsR1qqtD9GtMJ8fvp4GHm53qfQ9ruKjiag4aGle6nO7h/YD5mj30NSXnS7UhLR3jJ/S0jPY96hzEhILjbcd9HvcHhpru3Tv3p2KigpPjsWNMbWZmZlXFxYWHpCRrqdHfjMGak06WRJC9OzLF1kZ6Vx9wv78OH81FRUVIa/Wo9/j9tKr5sVBS/OskAGc7t6rFBYQ6FUQJKAHOL5LRCw03lbR73F7aKxtEQiw//7706VLl3SvVtGlS5f0/fffHz098l8UYWGkgCi60/aX99sd+j1uLb1qXgx0xH3VkYjIdsDksefeoqV5SqmksnzhbF6473KAUcaYb/xuj1J+a9hnv3zm4Vqa14Ypi5Zz2L9eAg+/Oxpi8cn952ppnlLAd78uZPez74MOus/Wc/jkpn1P46CleanP7R46DJiq3UNTX26GUFWvyXg/RcJhvnzvBTKCsM1eYwmmebdb0njbQb/H7aGxtkvv3r1ZunSpJ8fiIpIBnJOfn099OOLFKlQcjIEqk0Gu1Gtpnk/qQ2EeKv+c/Px8amtrPesRpd/j9tK+p3EYNGiQl90SVXJIB8a69yqFiUCP/KAe4PjMmCgVS+dTuXwBeHhlHI23VfR73B4aa1tIgF122YXOnTt79WtFQEQG5efnoxdW9Z9BWBbJx2hpnm+ixjBr8Sry8/Pp1KmTl2Vz+j1uKe0RFYdJkyZ5dsUAlRzKysrqgOv8bofynjEwc2XY72YowABVIYOXleIab3vo97g9NNYWMVGeffYFAM8GTTbGmEWLFiFoJspvATEMSF/pdzOsJxgWLVoEHm53+j1uL01ExaF3797agyzFlZeXB4FtgO/Kysq0b3aKy88UKuv0gDMZpCXg21XjbQf9HreHxtomwsCBA1m8eLGne4ucnBxNQyUBY6DSZJIvddqT2UcGZ5uIRqOebXf6PW4vTazEobS0VBN3qS8N2AdN0qY8ESjKDegBThIQICMonsZC420V/R63h8baFiJstdVW5OXlBb1bhUinTp1Ay8F8ZxAqIrlamuc7oVOnTuTm5nq23aHf49bSgMdBS/NSn9s99Da/26G8ZwzMWaU/vCQDA1QnoDRP420H/R63h8baIibKK6+8Ah6X5i1ZskRL85JAQAx901f53QzrCYYlS5aA96V5+j1uIU1ExWHw4MFeZoNVEigvL08DdgQmlZWV6YAyKUyAgmxhTY3RQ06fCU5pnpe/e2q87aHf4/bQWFtEhGHDhrFgwQIve0SRm6u9cJJB1MDaaDadAjUENBy+MQh5eXkYYzzb7vR73F5amheHoqIiTUSlviAwyr1XqUygU6bH2Q8Vk2BaGlmZ6Z5nojTe1tDvcXtorK3hjBGVnZ3t2bmLiITz8vK8WryKi1BpMtGdtr8y0oLk5eWRlZXlZc5Av8ctJcbLWogUISKdgDVAgTFmrd/tUaotIrIdMHnsubfQtbS/381RSqn1li+czQv3XQ4wyhjzjd/tUcpvDfvsl888nC17dvW7OUlryqLlHPavl8DD746GWHxy/7lsM7jUi1Uo1aF89+tCdj/7Puig+2w9h09uWpoXBy3NS31u99AxwEfaPTS1CVCYE6CiOqqlWj5LRCw03vbQ73F7aKwt4g5WPnv2bM+OxfPz84P9+/fX0rwkEDWwOppD50C1lub5yOD9dqff4/bS0rw45Ofn6+eV+gLAQHTbsEJOuh7dJItExELjbQ39HreHxtoaQo8ePcjIyPDsizwjI0N69Ojh1eJVnGpMut9NUOD5dod+j1tLe0TF4ZtvvvHsigEqOZSVldUDD/ndDuU9AyxYo1dR81skHOabD18FYLs9DyGY5s1uSeNtD/0et4fG2iImyrvvvgvgSY8JEckATnr33Xe59MDBXqxCxSEgUJq2xu9mWK0+FGbcm5N4990vPF2Pfo/bSxNRcdDSvNTndg89AHhLu4emNgGKcwOsqNJSLT8ZE2X5wllkBAET9Ww9Gm976Pe4PTTWFhFh9OjR/PLLL14diwdEZHinTp2I6E7Cd1EDq6K5dAlUaWmeT6LG8Mu8ZRQUFBAOhz3rnqbf4/bSLnBxyMzM1K/C1CdAIXqZDiukaWo5aUgCtjiNtzX0e9weGmuL5ObmEgwGPb2+appHvXJV/EJGd9rJIC0tjUDA03Sgfo9bSr9t4/DTTz9pljbFlZWVhYAn/W6H8p4BFq/1rgeOip0BasN42lNJ420P/R63h8baIsbw0UcfgUelec4qjFm5ciWi/WZ9FxAoSdOLnPlNMKxcuRI83O70e9xemoiKw4gRI/TzSnHl5eXpwCHAq+4Xo0pRAnTLC7BsnZZq+U2AjKC3P4VpvO2h3+P20FhbRISdd96Zn3/+2bNjcRGRzp0761XzkkDUwIpoHsWBdVqa5yODUFhYSDgc9my70+9xe2lpnlJKKaWUUkoppZRKCO3hEwctzUt9bib+Bb/bobxngKXrtFQrGRigLuJ9aZ7G2w76PW4PjbVFjGHChAngcWleRUWFluYlgYBAt+A6v5thPcFQUVEB3pfm6fe4hTQRFQctzUt9bvfQo4BntHtoahOgR6cAS9ZqqZbfBMhM8740T+NtB/0et4fG2iIijBkzhu+++87T0rwuXbpoaV4SiBpYGulE9+BaLc3zkUEoKiqivr7e69I8/R63kJbmxaGurk7PX1KfASrwtnOGShLhiN8tUGnpGfzhhP/jyNMvIy09w9N1abytod/j9tBYW6SqqopIJOJJrI0xtXl5eRcOGDCAzHT93TkZpIvutP2UlZHOrWcczIABAwDqPFyVfo9bSr9p4/Drr7/qN2KKKysrCwOv+90O5T0DLK/SUq1kkIhYaLz/v707D5OrqvM//v7e3rJ3ls5GSCCEGMI2QIAJIAiioqNOgYrjuC84wMgIuAEzjojjCOiIqDiioKjM/FxASQ0ugIoIGMKOIRC2kIQkZF86naTTW53fH1VNukN3pyrpc++tez6v58lT6a5K3QOfPvecOn2+94ZD5/FwKOuAOMfDDz8M4G0u3tLS0vXwww9jHzrB1yGkTJFBU832pJsRPMN/v9N5PFxaiKrA/PnzmxctWgTAhg0b+NjHPsa2bdv4wQ9+wIEHHtjvv9u+fTvnnXceL7zwAt///vc54ogj+n1tR0cHn/nMZ7jvvvu49tprOeWUU/p9baFQ4D//8z+55ZZbuOKKKzjrrLMGbP/3vvc9rrvuOi644ALOPffcAV972223cfnll3P22Wfzb//2b0RR/5vn7r33Xi666CJOPvlk/uu//ou6urp+X/vkk0/yT//0Txx88MFcf/31DB8+vN/XLlu2jI997GOMGDGCH/zgBzQ1NfX72sHKwznH1q1bGTVqFGZWlXl85zvf4ROf+MSA7yfFUq0pjTWsau7Sr2ASFkcWyjs9nnzySYBHFy1a5GX8cM6xdOlSzjvvPIYOHRrb+LG7ahw/qm0837ZtGzfeeCO33nor3/3ud6syjyeffHLAdkuJRZxxxhm89rWvfbR7Lt6fvc3jiSee4HOf+5xK81Kg4GB1VyOTa5pVmpcgh/GmN72JRx991GdpXj3wEeCmXC7X7us4kj5aiNoLmrTuUm2T1nLy6P5vqOY8pDw7OrQkkbSuzk7+et9veLrOmDX374hq/Q1LyjtdfI4f11xzDcOHD+eGG27QIlSGx/NPfOIT1NXVVe0i1EB5yO4cZ5xxBm94wxsGfNXe5vG5z32Om266iYULF9Lxd68ZzIbLXhpqulxQkto7Ovnfux5m4cIX2blzZ43HQxWAJaVHCYgWoipgZpq09lCNk9Y95WFmDBs2rOrzuPvuuwd8XymWam3aoTEvac4VWL38WQBm/u2bvV24UHmni8/x45xzzklk/OhW7eNHVsbzbtWYh/TBOd74xjcO+JJ9yaOjo4MnnniCNWvW4JzGiqRFBmNrdiTdjKAVnGPRiy+zZs0a8Hj9plJp3h98vb+kl0bBCmiStEtWJ63OOTZu3Mgll1xS1XnInpnBtNE1mLZ8J86AobXmNQvlnR6+x4/Gxkb++7//m3HjxvX7Wo3nu1T7eD516lSc6/szUjXmIf2wiC1btvSb9WDk4ZxjwoQJKs1LgYIzVnSOpuCURZIcxoQJExg3blz/A8M+yufzDfl8/sJ8Pt/g6xiSTtoRVYELL7xQk1aqf9K6pzxuuOEG7r333kzmIT042NpW0D06UqKz4PxmobxTw/f48b3vfY8RI0b0+1otQu1S7eP54Ycfzs6dO/t8bTXmIQNxNDT0/Tl1MPPYsUO7cNLBMdLa0KCdvB07duD8bhPsAh7F4wXRJZ0qWogyszcD25xz95e+/gTwceBp4BPOuc2D38T02Lp1KzfddJMmrVU8ad1THp/97Gczm4f05oAtrZrgpIEDOjyvESnv9Mjq+KHxvCjuPIYOHfqq11ZjHrIHzvWZ9WDmYWZs27YN0+JH4iKD0TWtSTcjeIZj27Zt4P+ueff7en9Jr0pHxK8BowDM7Ajg68BvgenANYPbtPS57rrrNGnNwKS1L915PPDAA9x4442cfPLJ/b62GvOQVzODA8eqVCsNDBhW5780T3mng+/xwznH5s2bX1XCo0WoXbIynveVdTXmIWWw6FVZD3YezjkmTZqk0rwUKDhjecdYleYlzGFMmjQpjtK8S1SaF55KS/OmU9z9BPBO4NfOuX81s2MoLkhl2rRp0/p9TpPWXdI8ae3L7nkcdthh/b62GvOQvjkHG7cX6OdyExIjB7R3Oa9ZKO/0iGP8GDZsWK/XahFql6yN5z2zrtY8pAzO9craVx5bt25F5WDJMxxjarZrd1riHFu3bqVQKPgsm+u+WHmnx2NIClW6ENUOdI8CbwB+Uvr7Jko7pbLM+vlVuiatu1TDpLWnrOchA2tp0wQnLTpjuEmR8k63wRo/zKzXtWQ0fuyStfG8Z9bVnIeUY9c1onzlsWnTJnbs2KH9UClgBqOsLelmBM945bpp3mZpuVyu+xpREphK9wnfD1xjZv8OHA/8pvT91wArB7NhadTXnTo0ad2lGiatPfWVh3OOTZs2vSrrasxDBmYGM8bVqlQrYTW1dbz5/Rdx/ic/Q63Hn2flnW6DOX70PI9rEWqXLI7n3Vm3t7dXdR5SBovYtGkT3//+973ksWDBAl544QXOPvts6mp1L6ekFZzxYsc4leYlqKGuli9+7K2cffbZjB8/3ttv8kqleV9UaV54Kl2IuoDitrl3Aec751aVvv8W4I7BbFg10KR1l2qZtHYbKI/d77ZUjXnInjkHa1q6VKqVMDOjpraejTtrwOPvoZV3evkYP0aMGKFFqB6yPJ43NDRU/Y1GpAyuwG9/+1tveVx88cWceOKJLFiwQL+wSAHDMaGmRaV5CTIzGupqWLBgAc3NzT7L5jqAW0qPEpCKlvydcy8Bb+vj+xcPWotSrGdpniatu1TbpHWgPMyM+vr6V76u1jykPNvbNcFJiziyUN7p42P8MDO2bt3KOeeco0Uosj2ed3Z28q//+q+ZzUN6u/rqq73nccwxx6g0LwXMYIS1J92M4BmwYsUK8HjhtFwuVwCe8vX+kl4V7z01sxrgLGB26VuLgXnOOa8XGDOzU4E/AWOcc1t8Hqs/hUKxPFaT1l2qbdK6pzwKhQKbN29mzJgxAFWbh+xZVCrVWrKxk0LA6xM3X3UBLZs3APD6d/8zh8wp9onOjnZ+/JV/pm3HNgDe9tFLmTbrKJYtfoyHf38Lm9aupL5hKNMPO44T3/Z+6htefVvtcnR1dfLUA3fRNDxi8t+8AYv8lEQo7/TxNX6sX7+eefPmsXPnTi1CZXw8v+SSS5g2bVom8/Dp9V//H1ZtKZ7br37HaZx59CwAdnZ08rqv3cyW1uK1eW744N8xa+JY/j1/L39duY4tO3YC8MdPvZf9x8R8adgo4tprr+W0004b8GV7m8eVV17JT3/6U4499lg6ujRI+HT4B6/ipbWbAbj+M+/mvW+cA0BrWweHvO8rbG7ZAcC3r7iIITvW8uPfPchzK9axZVsrk8aO4q0nHMq/ffBNjBo+JLH/hhB0dHbxiz89wbHHHsvy5cv3bpJXhnw+PwS4Arg8l8vt9HUcSZ+KSvPM7DDgeeDHFBejzgJ+BDxvZodXenAz+5GZzav031V4jH8ys3vMbKuZOTMbvQ/vpUlrD9U4ad1THmbGqFGjcM5VdR6yZwUHK5u7tCjRw6L5d77y9+cev/+VRahu61a+yO9+/DU2rn6Jg474W4aOGMXTD/2Ru3/x3b0+pisUWPHCIhYuXEhXl78rlivvdPE5fnz84x/nD3/4A9dff70WoTI+nv/5z39m7ty5A15nqRrziNP/PLjolb/fvvD5Vxahum3evpOlG7ZwxJTxcTett0KBU045pd8bB8G+5VFTU8ODDz5YHIu83iBMevr+/81/5e+3/OnxVxahAJqi7fzp0ed4fuV6XnvEQbztxMN4eUMz3533Fy781q+SaG5QugoFHn32JRYuXMiWLVt83lKmHfhe6VECUuk1om4EFgH7O+eOcc4dA0wFFgLfH+zGDZJhFK9f9ZV9faPW1lZNWkuqddK6pzzMjJqaGr7yla9UdR5SntYOrUp0axg2gnUrl7D2pecBeHL+nTQM6329tEfvvg3nHEec9Gbe+J4LyJ37BSyKeHHRQ2xc/dI+HT+OX0Ar73TwPX60tLRw9dVXM3369H5fq0WoXap5PP/GN77BSSed1O/iRDXmEafRQxt4ctV6/rpiLQD/s2ARo4f2vl7wIZOb+P3F7+Wyt5yYRBN7qaur6zfrwcjDzGhvb1dpXkzGjBzGY8+t5OFnivOH7+XnM2bksFeer7cuzjvzJJ6++TJ+9G/v40f/+j4+9Q/FHXG/f+iZRNocGgPa29vp6PA3gcrlcoVcLvdiqURPAlLpQtRRwGXOuc3d3yj9/d+Ao/elIWbWYGbfMrN1ZrbTzO43s+P6eOlJZraw9JoFe9qJ5Zy71jl3FbBgX9oH8JnPfEaTVqp70rqnPDo7O7njjjuYN29eJvOQXSKDWRNqiTTjBOCQOa8DMxbOv5OXly5m4+rlHHpc7xKIDS8vBWDC1BkADB0+isZxkwBY//KyvT62ASPqzWsWyjs9fI8fN954IyNGjHilnH53WoTapdrH89e+9rVs2LChz6yrMY+4veOYQzCDmxcs4pFlq3lmzUbeNWf2nv9hEqKo36wHKw/nHFOnTsVV/PFI9sb73zQHM+N7+fnMf3IpT764mg+9eddHv1Wdozni4P2pq6155XvtHcUrwUxuaoy9vSFyGFOnTqWpqal+z6/eO/l8fkg+n/9mqURPAlLpmfY5YGIf358AvLCPbfkq8E7gQ8Axpfe708zG7va6rwGfBo4D1gO3m9mgjuqlRbFR3X+AkQDPP/+8Jq1VPmndUx5XXnklV199NZ///Oczl4f0VnCwTNcLekVj0ySmzTqKJQsX8PDvb8WiiMNPeFOv1+xoaQagrn7XXKH77ztaNrO3HLCj3XnNQnmnRxzjx+jRo/vcOaFFqF2yMJ6bWZ9ZV2MeSZg2dhSnzJzGHU8t4Vt3P0xNZLz3bw9Lull9KxT6zHqw81izZg2gjRlxOGi/Jt543Czm3beQr9z8e2qiiHPefsIrz0+o3UrU4xrZdz/6HP89735qayKuOu/tSTQ5QI41a9bQ3Nzs84527cDVqDQvOHtciNptQeYy4Ftm9i4z27/0513AtcAle9sIMxsOnA981jn3O+fc08DHgVbgY7u9/Arn3O+dc09SXLSaSPFaVYPpMqC5x5+VANdee60mrVU+ae1PzzwuuuiizOUhfWvTZSB6OfLEMyh0dbJqyVMcOHsOI8f0vibIsJHF30B2tO+6lmRHW2vpuTH7dOw4pv3KOx18jx9mRm1t7as+sGoRapesjOd9ZV2NeSTp/XMPp6OrwINLX+a0WQcwZfTIpJvUr92zHuw8zIyOjg6V5sXo3L8/kfaOLu796xLeMnc20ybumkvUUaA77pvvfJizv/AjaqKI//3CBzh9zmsSanFYjOL5N4bSvJdVmheecnZEbQE2l/7cDhwK/AJYXvrzC+Dw0nN7awZQB/yl+xvOuQ7gIXbdna/bAz1eswl4to/X7KsrgcYef/YHmD27/8No0rpLmietfemZx5e+9CVe+9rX9lvSAdWXh/QtMpg9UaVaPU19zd/Q2FQstTvixDNe9XzTfsVr7qxbsQSA1u1bad60tvTcAXt9XANGxlCap7zTwff4USgUWL9+fa/zuBahdsnSeL571tWaR5JOPngqB44r/pLh/XP7zyFxUdQrax95OOc44IADVJoXozcc+xpmTCmeV87N9b4O2crO0XQW4Iof3sEnrrmVsaOG8Zuvnstb5h6aRFOD5DAOOOCAOErzvqfSvPCUc5/sge+TmkHOuTbglduGdP/2pb8LJGrSukvaJ6272z2PXC5HoVDoN+tqy0P6V3Dw/HqVavVkZvzdhz/H9uZN7H/wqy+/d8xpZ7Ls6Ud48i93sGNbMxtfXoYrFJh+2HE0Td77hSgHbCuV5vma/ivv9Bus8cPMGDt27CvncS1C7ZK18bxn1tWcR5LMjO++7y2sbdnOCQdNedXzm7a38tU7H6Bl566qma/esYBhDbV8/OSjmTF+33bDlq1QeCVrX3m0tLSwcuVKVJoXHzPjF1d8mJc3NvO6o3rf9XlybTNX/uQJvv7zPwFw/Oxp3PKnx7nlT48DcPX5fx97e8PjWLlyJc45n2VzbcCl9PjsLWHY40KUc+7PMbRjCcW60JMo7rKidN2n4yiW/fU0F3ip9JoxwGuAxTG0sU+atO5SDZPWnvrKwzmnRaiAaFHi1caM348x4/fr87mJU2fw5g9+mod/fytLFi6gfshQDj3+9Zz41vfv9fFqaut4wz9cQGTFv/ukvNNrsMcPLUK9WlbH8+5FqGq+2+0TTzwxYBt8O2j8aA4aP7rP53a0d3Db48/1+t6dT78IwFlHz4pvIYpi1vPmzfOSx7PPPstzzz2HmVHf4+LY4t/MqeOZOXX8q75vwKr1za98fftfnur1vBai/Gqoq+XzHzqD3GU/8L0QBcXL8UhgytkR1YuZjaZ43abuOrWngB8655r7/Ud74JzbbmbfBb5mZpsoLjR9DhgG/GC3l3/BzDYCa4H/BDYA8wZo7yRgEtC9zH6EmbUAL5VK+yppZ6+vNWndpZomrdB/Hs45Nm7cyLhx43otSFVbHrJn3XdRe3Zd2LtkPnDpdQM+/89X/6zX19MPPZbphx47aMc3M4YOG+Y9C+WdXoM9fnSfx4cOHcr555+vRSiyO54759iwYQM33HBDVecxd+7cAdsx2O7+9MC/PHj2P84b8OtERBGPPPIIX/7yl73kce655zJ79myOO+44zLQQ5dOin1w64PNb77yaLmc83zGB7xw7i+s/++6YWiY9mRkjhg7l4x//OLfddpu30jygAfgmcCGwcw+vlQypqArCzI6luHvpYmBs6c+ngCVmdsxeHr+z9PdLgV8CNwOPUVw4OsM5t/utmC6l+MP6KMUFprfvYZX2POBx4IbS1/eWvq54Gb3nwoQmrbtU06QVBs7DzKp+EWrZsmUDtlGKCg4tSqREHFko73TyMX6YmRahesjyeO6c44YbbuDnP/95JvOQHgoFzj//fM4880xveXz729/mxhtvRKV5yYtwzKxb1+uueZKEAjfeeCPr16/3XZp3ISrNC06lO6K+Afwf8HHnXCeAmdUCN1Isoet/ttC3CcALAM65ncAnS39exTl3D7xyI4tfl3sA59wXgS9W2K4BadK6S7VNWsvJo2d5XrXmIeWJTOVaSevq6mTxQ3cXdywd93pqaireqFs25Z0uPsePiy++WItQZH88/8pXvsJvf/vbTOYhr3b22Wfz2c9+1kse1113Hb/+9a8xMzq7dIvVNChgWohKUEdnF/PuW4iZ4ZzzNzkrGooWooJT6XVhjwWu7l6EAij9/aul58piZmPM7G3AqcAfKmxDYpxzmrT2UI2T1nIWoTZt2oRzrqrzkD2LDGaO113UkuYKBV569gk2vPhXzPn7LbTyThef48e//Mu/cPzxx2sRKoDxfN68eXzzm98kl8v1+1qovjykD1HERz/60X6v4wn7lseQIUO47777mDx5Ml0FDRRJK2As6RhPAWWRlK5CgQVPLWfy5MmMHTvW5x3tGoCrSo8SkEpXN7cC04Bndvv+VKClgvf5IcULkX8dyFfYhsR0dXVp0lpSrZPWPeURRRHjx4+v+jxOOy24m11WrOBg8drOPb9QvHNASwx3zVPe6RDH+PGpT31Ki1CBjOfHH398v6+F6stD+lEoMGHChH6f3tc82traMDOWL1+OqTQvcTXmOKR+bdLNCJ7hWL58ORRvKuZFLpfbCQx8cpZMqnQh6ufAD8zsM8D80vdOAr4G/LTcN3HODTyLS6nPf/7zPPDAA5q0VvmkdaA8nHP86Ec/4jvf+U4m85DeGmqgTTvwU8HXAlRPyjsd4hg/Zs+e3e9dULUItUu1j+dnnnkmnZ2d1NTU9Jl1teUhA+sv68HKwzlHXV2disFSwDlop4Z6uhhgE5x45qC7P3lLIZ/PRxSv+7wml8tpFTgglc79PwP8CvgJsAxYDvwIuBW4ZDAblkYPP/ywJq1VPmndUx433ngjzc3N/Mu//Evm8pDeIoMDx6lUKw0MGFZvXrNQ3unhe/w47LDD2LJly6vudAtahOopC+O5c67frKstD9mDKOoz68HOY9KkScTzqxEZSAFjecc4leYlzpg0aRKNjY39d6x9V09xHcHnnfkkhSraEVW6O92FZnYZMKP07SXOuR2D3rIU+o//+A9NWqt80jqQnnl8/OMfH/C11ZaHvFr3XdQkeQ7YFkNpnvJOhzjGj77eX4tQu2RlPI+iqM+2V1seUoZC4VVZD3YeZsaKFStUmpcCNeZ4Tf26pJsRPMOxYsUK8F+ad6Gv95f0Kmshysx+tYfnATqBNcDvnXO373vT0ufEE0/s9zlNWndJ86S1Pz3z+OhHP9pvSQdUXx7Sv6F1RmuHNuGnQU0Mv/RU3unge/xwztHZ2Ultbe0r53EtQu2SpfG8r6yrMQ8pT0dHxytZ+8jDOUd9fb1K81LAOdjp6hhiHSrNS5CDYp9wzndp3oHAMpXmhaXcXz43l/GnFZgJ/NzMvjT4TU1eX1u/QZPWntI+ae3L7juhtm7d2m/W1ZaH9C8y2L+xRqVaKWDAkDr/pXnKO90Ga/xwzvU6j2sRapesjee7Z12teUgZouiVrH3l0draWrogukrzklbAWNXVqNK8xBkTJkyIozTvXFSaF5yydkQ55z5S7hua2duA/wa+sLeNSqu+JimatO5SDZPW3fWVx7hx4/p8bbXlIQMrOHh+g0q1klZTW8ep7yr2PavxN89R3uk2mONHFEWvnMe1CLVLFsfznllXcx7r1qkEaY8KBcaNG+ctj5dffpmlS5eyYcMGGmq1+JG0GnMcXLch6WYEraGulkvfdzq5y24E2ObrOKXSvMxfa1perdK75pXjfuARD++buN13yWjSuku1TFp76isP5xwdHR3U1dX1Ks2rtjykPMPrje3t2oSfJDNj2IjGWLJQ3uk02ONH93kc4LOf/awWocjueN6d9U033VTVeZx22mkDtlmK5s+fz8UXX+wlj3POOYfGxkaGDh2KasGS5xxsd/UMt3bFkRAzY/TIYUydOpW1a9f6Ls2bDSxWaV5YBn3vqXNui3PuHYP9vmmjSesu1TRp7TZQHtu29V70r8Y8ZM/MYNLIGk1wUiCOLJR3OvkaP5qbm7n00ku1CEX2x/M///nPXH/99ZnMQ3qwiD//+c+87nWv85bHDTfcwEknnYTHO9VLmRzGuq6ROGWRMOOkk05i9OjRPjavdKsDzi49SkB8/lBlTvcOGU1ad6nGSetAeZgZY8eOfeXras1D9sw5WLJRpVpJK3R18exj9/I0MOuYU4hqarwcR3mnj6/xo7Ozky9/+ctahCL74/n3v//9zOYhu3EF1qxZ4y2P73//+9x///387Gc/459OuMDHf4FUIDLHQXUbk25G0Dq7uvjtA4v42c/+CPi7lWQul2sDvujr/SW9rL+LMssuZjYKaJ46deqYl156aUvS7RF/8vl8DXAU8EQul+tKuDl7xcyOAR49+5NXMn7K9KSbk2ojG4yWNp0Dk9TZ0c6d/3sttRGc/o8XUVvn71qVyjt561ct5ZZvXQYwxzn3mI9jZOE8LuXJQtbdY/avzn8nh+03PunmpNZTL2/gs3c9zurVq4/bvn37oF8CxMyGAHcNGzbs5Hn/+WHmHnrAYB9CKuActLgGRlqbdjInZGd7B7nLbuSvL66jUCic1NraOt/HcXyex7s/wwONzrmtg/nesu90W4gKTJkyRTvIsq8WeAPaLZh5ZjBueKQJTgoYUF9j3kvzlHcwdB4Ph7IOhRlHHnkkI0aM8LNtFjAzGzVqFCrNS57D2Nw1XKV5iTNGjRrF8OHDvfU7dB4PlgKvwIIFC9qTboP4VdoeenXS7RD/nINlm6ryF+iZ44AdHQ6fG3SVdzh0Hg+Hsg6IK3DbbbcBdHg7hHNuzZo1GNo5m7TIHAfUbUq6GcEzHGvWrAGP/U7n8XBpIaoCM2fO9LkaLCmQz+drgbnAglwupwvKZJgBjUON5lanKWfCDKiN/P4OWnmHQ+fxcCjrgJgxe/ZsVq5c6XNHFMOHaxdOGhQcbC0MZVTUSqQ4EuMwRowYgXPOW7/TeTxcKs2rwLhx47QQlX01wJzSo2SZwagGz6sfUrbayLyvRCnvYOg8Hg5lHQxjxowZDB061OdnFxs2bJjHt5fyGS2uAQ3ayRs2bBhDhgzx2e90Hg+UdkRVQKV52VfaHvrNpNsh/jkHL21RqVYaOKC1039pnvIOg87j4VDWAXEFfv3rX4Pn0rx169apNC8FInNMrd2SdDOCZzjWrVsH/kvzdB4PkBaiKqDSvOwrbQ89FbhH20OzzYAxwyI27yhoypkwA+pq/JfmKe8w6DweDmUdkNLFypcuXeq1NG/EiBEqzUuBgoMthWGMjnaoNC9BDmPkyJEUCgXfpXmnovN4cFSaV4GRI0fq/1f2RcAM1DeCMKxOs5uk1dTWcUruo5z13nOoqa3zeizlHQydx8OhrINhTJo0ifr6el8n8rZhw4Z97aijjqK+Vr93ToNW53dOIANrqKvl4nefylFHHUVDQ4O3HVHoPB4s7YiqwGOPPeazE0oK5HK5duB7SbdD/HPAymaVaiXNzBgxpoltno+jvMOh83g4lHVAXIG77roLwMuOCeecM7NV9913H9E/HO3jEFKByGBKbXPSzQiamTFp7Ejuu+8+8NTvQOfxkGkhqgIqzcu+0vbQtwC/0/bQbDOgaXjEhu0q1UpaHFko73DoPB4OZR0QM4477jieeeYZb3PxkSNH1hxyyCEqzUuBgoNNheGMjbarNC9BDv/9TufxcGkhqgINDQ06FWafAWPQbTqCoN33ySt0dbFk4QOsHRoxfubfYjX+QlHewdB5PBzKOiDDhw+npqbGS9ZmVltbW/vmbdu20dlV8HEIqVCH06CdpM6uLn7/8DNs27YNM/O5ZqDzeKC0EFWBRYsWaZU243K5XAfwk6TbIf45YPVWTTaTVih08dxf5wNwxoxjqfW0EKW8w6HzeDiUdUCc45577gF/JUK1nZ2db1y8eDGFwmmeDiHligwm125NuhlB6+wqcPejz7J48TLA32ZyncfDpYWoChx++OH6/5Vx+Xy+DjgTmFc6MUpGGTBhRMS6bSrVSpoB9THcNU95h0Hn8XAo64CYceKJJ/L00097m4ubmY0ePVqleSlQcLChMIKmaJtK8xLkMMaMGUNnZ6e3fqfzeLh0dXoREREREREREYmFdvhUQKV52Vdaib8l6XaIfw5Yu02lWmnggLYuj/u+Ud4h0Xk8HMo6IM4xf/588Hj3Luec27x5M6Z9s4mLDCbU+L6fruyJ4di8eTP4vWuezuOB0kJUBVSal32l7aH/CPxU20OzzYBJoyLWbFWpVtIMaKj1X5qnvMOg83g4lHVAzDj11FN54oknvJbmjR07VqV5KVBwsLZrFBNrtqo0L0EOY9y4cbS3t/suzdN5PEAqzatAW1ubPr9knwM243dzhqREZ1fSLZBuLoYep7yDofN4OJR1QLZv305XV5fXzbOdnSp+SIs606CdBp2dnRQKBd+b1nUeD5B2+FTg+eef1xkx43K5XCdwe9LtEP8csH67SrXSIK7SPOUdBp3Hw6GsA+IcDz/8MIC3ubhzjubmZpXmpUBk0FSzPelmBM8o9gk89judx8OlhagKHHPMMXVJt0H8yufz9cBHgJtyuVx70u0RfwyY0ljDquYuTTkTVFNTy2vf9gEmjqhhZ42/IUl5h0Pn8XAo64BYxJve9CYeffRRXwNF+7Bhw7559NFHn1zrcSyS8hQcrO5qZHJNs0rzElJfW8Mn3nEK1jiFxYsXe5s66TweLpXmVaClpUW/Ts++ArCk9CgZt6NDSxJJsyhidNNkho2dhEV+hyTlHQydx8OhrIPhWLNmDe3t7V5O5M65Qk1NzUstLS1EWvlIhaGmywUlKYoi9p8whpaWFjo6OnyeY3UeD5SW/Cug0rzsK20P/UPS7RD/HLBph8a8NIgjC+UdDp3Hw6GsA+IcCxcuBI8lQi0tLV0LFy7EONXXIaRMkcHYmh1JNyN4hv9+p/N4uLQQVYG5c+fWJ90G8SufzzcA5wHX53K5tqTbI/6YwdTGGlY0d8VyoWzpW6Gri2WLH6VpWMTIA4/Gohovx1He4dB5PBzKOiAW8ba3vY2HHnrIy2UyzKy2vr7+jUcccQQdXq+HLuUoOGNVVyNTapqJTHkkobOriz8/sYQ5c+awfPnyIb6Oo/N4uLQQVYGNGzdqR1T2dQGP4nHlX1LCwda2gu7RkbBCoYtnHrmH2ghOn3okNZ4WopR3UHQeD4eyDoZjyZIltLa2+traWtvR0fHWZ599lq7CXE+HkPI5RlobGrST09lV4LcLnubZZetxzvmsV9V5PFBaiKqASvOyr7Q99P6k2yH+OWBLqyY4aeCADs9rRMo7HDqPh0NZB8Q5Fi9eDJ7vmrdt2zbdNS8FIoPRNa1JNyN4RrFP4L80T+fxAGkhqgIqzcu+0vbQi4BrtT0028zggDE1LN+sUq2kGTC0zjCPv29T3uHQeTwcyjogFnHWWWfxl7/8xdsdrM3MJk6ciEMXK09awRkrOscwtXazSvMS5DAmTZpER0eHt36n83i4tBBVgVWrVnUm3QbxrvuCeco645yDjdsLWpRIAQe0dzmvWSjvoOg8Hg5lHYrSxcq3bdvmc0eU27p1KyoHS57hGFOzXbvTEufYunUrhULBZ1WQzuOB0kJUBVasWKFbLmVcLpfrrlOuepvXrUq6Cam3PukGCF2dHbS37qAd2PDyMmpqvf3STXmnQBznpSydx2VgWcp6yfrNSTch1Zas38ySJUvA8y3ed+zYwQsr1zOkTh+RJGxtHZ1sb21nx44d4LHfZek8LpUxp18P75GZjQKa586dO/6BBx7YkHR7xJ/S9tDLgCurdXuomU0zs2edc97ucJEFtbW1vOtd7+LWW2+ls1O/hEmSmTF58mTWrl1LV5efX7op7/Qws53OuVnOuZd8vH8WzuNSnixkbWbTIrNnCxqzB1RbW8u73/3uzgULFsxesmTJC4P9/mY2xMx+M3ny5NPWrl1rvsYiKY/G7HQozc+cmR2+cuXKp30cw+d5vPszPNDonNs6mO8t+07L/RV44YUXOpJug3jXAdxSeqxKzrmXzGwW0JR0W9IsiiIzs+lRFC1F+/CTVO+c+2pzc/OwKIr+paury8uHSeWdHs65Db4WoUqq/jwuZav6rDVmlyeKIhs/fvzoa6655kVfx3DO7Whubn4wiqJP+RqLpDwas1Ohe35WN3HixKUej1P153HZO9oRVQatpoqI+GFmEXBY6cunnHMqgRYRkVhpLBLpLQt9Qp/h0007oipw8sknNyTdBvErn88PAa4ALs/lcjuTbo/4o6zTwTlXyOfzz1PKAvCShfIOh7IOh7IOh++s4xqLpDzq28nT/Ex8i5JuQDVZvHhxe9JtEO/age+VHiXblHV6xJGF8g6Hsg6Hsg6HxomwKIt0UL8Tb1SaVwZt6xMR8cPMaoEzSl/e6ZzTVUlFRCRWGotEestCn9Bn+HRTaV4FVJqXfaXtoVcDl2h7aLYp69SojaLonw888MDZxx577NEUJwyDTnmHQ1mHQ1mHI4asYxmLpDzq26mg+Zl4pYWoCqg0LwjtFE+Gyjr7lHVKFAqFwqpVq17A/9Zv5R0GZR0OZR0O71nHNBZJedS3U0DzM/FJpXll0LY+ERE/zGwIxdv2ApztnNNvw0REJFYai0R6y0Kf0Gf4dNOOqAqoNC/7SttDvwlcqO2h2aas0yOKomj69OmHz5kzpwG/d2VR3gFQ1uFQ1uGII+s4xiIpj/p2Omh+Jj5pIaoCjz32WFvSbRDv2oBLS4+Sbco6JQqFQmH58uWLt2zZ4jML5R0OZR0OZR0O71nHNBZJedS3U0DzM/EpSroBIinUmnQDJDbKOiUKhUJXDIdR3uFQ1uFQ1uHwnnVMY5GUR307BTQ/E1+0EFWBY445RqV52ddAcXuoss4+ZZ0S3Vu/Tz/9dJ9ZKO9wKOtwKOtweM86prFIyqO+nQKan4lPKs2rgErzgtAGXIi2h4ZAWadDB/DFzZs31z/11FPbPB5HeYdDWYdDWYfDd9ZxjUVSHvXt5Gl+Jl5pIUrk1Yaik2EolHXCnHNd+Xz+EWA0UPB8OOUdDmUdDmUdDm9ZxzwWSXnUtxOk+Zn4ptK8Cqg0LwgNwFVoe2gIlHV6xJGF8g6Hsg6Hsg6HxomwKIt0UL8Tb8w5l3QbUs/MRgHNQKNzbmvS7RERyQozqwVeV/ryz865ziTbIyIi4dFYJNJbFvqEPsOnm0rzKtDU1GRJt0H8yufzETAJWJPL5bQ1O8OUdWrUAhc1NDQ0TJkyZT7gZaKjvMOhrMOhrMMRQ9axjEVSHvXtVND8TLxSaV4FZs+eXZ90G8S7euCS0qNkm7JOiSiKoilTphx87LHH+sxCeYdDWYdDWYfDe9YxjUVSHvXtFND8THxSaV4ZtK1PRMQPMxsC3FL68mzn3M4k2yMiIuHRWCTSWxb6hD7Dp5tK8yqg0rzsK20PPRBYpu2h2aas02Xo0KHDJk+e7O0cq7zDoazDoazDEVfWvsciKY/6dnpofia+qDSvAirNC0I9cC7aHhoCZZ0SURRFEydOPCCGrd/KOwzKOhzKOhzes45pLJLyqG+ngOZn4pNK88qgbX0iIn5kYeu3iIhUN41FIr1loU/oM3y6qTSvAirNy77S9tDZwGJtD802ZZ0uw4cPHzFx4kTfW7+VdwCUdTiUdTjiytr3WCTlUd9OD83PxBeV5lXg4IMPrku6DeJdHXB26VGyTVmnQ8eoUaOu+ehHP7r0Pe95j8/jKO9wKOtwKOtw+M46rrFIyqO+nTzNz8QrleaVQdv6RERERERERKqDPsOnm0rzKjB16lTtIMu4fD5fAxwFPJHL5boSbo54pKzTI44slHc4lHU4lHU4NE6ERVmkg/qd+KSFlQpMmTJFC3fZVwu8AS3ShkBZp4CZ1Xzwgx885a677jrnoYce8nnHFOUdDmUdDmUdDq9ZxzgWSXnUtxOm+Zn4ptK8Mmhbn4iIH1m4K4uIiFQ3jUUivWWhT+gzfLpp5bECM2fOrEm6DeJXPp+vBeYCC3K5XGfS7RF/lHV6mJk1NjaOmT17trdzrPIOh7IOh7IORxxZxzEWSXnUt9NB8zPxSaV5FRg3bpwGpuyrAeaUHiXblHVKmJkNHz68ceLEiT6zUN7hUNbhUNbh8J51TGORlEd9OwU0PxOfVJpXBm3rExHxIwtbv0VEpLppLBLpLQt9Qp/h002leRVQaV72lbaHngrco+2h2aas08PMbMyYMeNmzZrle+v3qSjvzFPW4VDW4Ygj6zjGIimP+nY6aH4mPqk0rwIjR47U/6/si4AZqG+EQFmnSENDw7AxY8b4zEJ5h0NZh0NZhyOWrGMYi6Q86tspofmZ+KLSvDJoW5+IiB9Z2PotIiLVTWORSG9Z6BP6DJ9uKs2rgErzsq+0PfQtwO+0PTTblHVqdDY0NHzrLW95y/ENDQ3efjOivMOhrMOhrMMRQ9axjEVSHvXtVND8TLzSQlQFGhoaLOk2iHcGjCk9SrYp6xRwznXm8/l7gMlAweOhlHc4lHU4lHU4vGYd41gk5VHfTpjmZ+KbSvPKoG19IiIiIiIiItVBn+HTTTuiKnD44Yfr/1fG5fP5OuBMYF4ul+tIuDnikbJOBzOrGTFixHHvfve7Tx0+fPg3vvWtb7X5OI7yDoeyDoeyDofvrOMai6Q86tvJ0/xMfNPV6UVEJEl127dv//ztt9/+rqeeeqou6caIiEiQNBaJ9KY+IV6pNK8M2tYnIuJHFu7KIiIi1U1jkUhvWegT+gyfbio1q4BK87KvtD30H4Gfantotinr9DAzmzhx4pRDDz3U2zlWeYdDWYdDWYcjjqzjGIukPOrb6aD5mfik0rwKtLW1aftY9jlgc+lRsk1Zp0hnZ2dHa2urzyyUdziUdTiUdThiyTqGsUjKo76dEpqfiS8qzSuDtvWJiPiRha3fIiJS3TQWifSWhT6hz/Dppq2nFTjmmGN0obaMy+fz9cBHgJtyuVx70u0Rf5R1epiZTZo0aerRRx9dB3iZ6CjvcCjrcCjrcMSRdRxjkZRHfTsdND8Tn1SaV4GWlpZC0m0Q7wrAktKjZJuyTpG2trYdmzdv9pmF8g6Hsg6Hsg5HLFnHMBZJedS3U0LzM/FFpXll0LY+ERE/zKwWOKP05Z3Ouc4k2yMiIuHRWCTSWxb6hD7Dp5tK8yowd+7c+qTbIH7l8/kG4Dzg+lwu15Z0e8QfZZ0OzrnOfD7/B4pZ/AHwMtFR3uFQ1uFQ1uHwnXVcY5GUR307eZqfiW8qzavAxo0bu5Jug3jXBTxaepRsU9bpEUcWyjscyjocyjocGifCoizSQf1OvFFpXhm0rU9ExA8zi4DDSl8+5ZzTNQJERCRWGotEestCn9Bn+HRTaV4FVJqXfaXtoRcB12p7aLYp69Soj6LoqilTpkyfM2fOXMDLREF5h0NZh0NZhyOGrGMZi6Q86tupoPmZeKXSvAqsWrVK9eLZ14muDRAKZZ0ShUKhsGXLlg0vvviizyyUdziUdTiUdTi8Zx3TWCTlUd9OAc3PxCeV5pVB2/pERPwwsyHALaUvz3bO7UyyPSIiEh6NRSK9ZaFP6DN8uqk0rwIqzcu+0vbQy4ArtT0025R1ekRRFE2dOvXgo48+uh7wMtFR3uFQ1uFQ1uGII+s4xiIpj/p2Omh+Jj6pNK8CL7zwQkfSbRDvOiiu/ivr7FPWKVEoFAobNmx4eeHChT6zUN7hUNbhUNbh8J51TGORlEd9OwU0PxOfVJpXBm3rExHxIwtbv0VEpLppLBLpLQt9Qp/h002leRU4+eSTG5Jug/iVz+eHAFcAl+dyuao74Ur5lHV6RFEUTZs2bdbxxx/fgL+t38o7EMo6HMo6HHFkHcdYJOVR304Hzc/EJy1EVWDx4sXtSbdBvGsHvld6lGxT1unQCfywvr5+wsqVK3d4PI7yDoeyDoeyDofvrOMai6Q86tvJ0/xMvFJpXhm0rU9ERERERESkOugzfLppR1QFVJqXfaXtoVcDl2h7aLYp6/SIIwvlHQ5lHQ5lHQ6NE2FRFumgfic+aSGqAirNC0I7xZOhss4+ZZ0CZhY1NDRMO+mkk34xfvz4jlwu5+tQyjscyjocyjocXrOOcSyS8qhvJ0zzM/FNpXll0LY+ERE/snBXFhERqW4ai0R6y0Kf0Gf4dNOOqAqoNC/7SttDvwlcqO2h2aas0yOKomj69OmHz5kzx/ddWZR3AJR1OJR1OOLIOo6xSMqjvp0Omp+JT1qIqsBjjz3WlnQbxLs24NLSo2Sbsk6JQqFQWL58+eItW7b4zEJ5h0NZh0NZh8N71jGNRVIe9e0U0PxMfIqSboBICrUm3QCJjbJOiUKh0BXDYZR3OJR1OJR1OLxnHdNYJOVR304Bzc/EFy1EVeCYY45RaV72NVDcHqqss09Zp0T31u/TTz/dZxbKOxzKOhzKOhzes45pLJLyqG+ngOZn4pNK8yqg0rwgtAEXou2hIVDWKVEoFApLly5dFMPWb+UdBmUdDmUdDu9ZxzQWSXnUt1NA8zPxSTuiRF5taNINkNgo65SIoqgmhsMo73Ao63Ao63B4zzqmsUjKo76dApqfiS9aiKqASvOC0ABchbaHhkBZp0Pn0KFDb33Pe95T95GPfMTnZEd5h0NZh0NZh8N31nGNRVIe9e3kaX4mXplzLuk2pJ6ZjQKagUbn3Nak2yMiIiIiIiIifdNn+HTTNaIq0NTUZEm3QfzK5/MRMAlYk8vlCkm3R/xR1ukRRxbKOxzKOhzKOhwaJ8KiLNJB/U58UmleBWbPnl2fdBvEu3rgktKjZJuyTgEzs4svvnjGiy+++OUNGzb4zEJ5h0NZh0NZh8Nr1jGORVIe9e2EaX4mvqk0rwza1ici4oeZDQFuKX15tnNuZ5LtERGR8GgsEuktC31Cn+HTTaV5FVBpXvaVtoceCCzT9tBsU9bpMnTo0GGTJ0/2do5V3uFQ1uFQ1uGIK2vfY5GUR307PTQ/E19UmlcBleYFoR44F20PDYGyTokoiqKJEycecOyxx/re+q28w6Csw6Gsw+E965jGIimP+nYKaH4mPqk0rwza1ici4kcWtn6LiEh101gk0lsW+oQ+w6ebSvMqoNK87CttD50NLNb20GxT1ukyfPjwERMnTvS99Vt5B0BZh0NZhyOurH2PRVIe9e300PxMfFFpXgUOPvjguqTbIN7VAWeXHiXblHVKRFEUNTU17XfkkUe+KgszG2lm/2FmT5lZq5ltMbOHzOzDPV4z18zuLT2/2cx+amaTd3ursvI2swvN7K9m1mlmzsx+NMBrv1R6jTOzq/bwvmZmnzOzF82s3cyWmNlnBvo3stfUt8OhrMPhPeuBxiKJnfp2CsTUJ5R1oFSaVwZt6xMR8WOgrd9mNha4DzgUaAHuBHYAxwLrnXOnmtkU4DlgGPBLYAowF3gUOM5VOMiZ2c3ANGAqMB34sXPuw3287lTgj0CB4u7iq51zlw7wvhcD1wDrgN8BfweMBz7pnPt2JW0UEZHBlYUyJJHBlIU+oc/w6abSvApMnTpVO8gyLp/P1wBHAU/kcrmuhJsjHinr1OisqamZN2vWrGkHHnjg7luyr6C4CLUJmOOcW9b9hJkdVvrrpykuQv3KOfcuM6sHVgJzgLcCv4by83bOfaD0/j+juBD1KmbWBPwPxYWx4cApA/0HmlkNcFnpy3Occ7eb2ZnAbcDnzey/nXP6GRwk6tvhUNbhiCHrgcYiiZn6dirE0ieUdbi0EFWBKVOm6P9X9tUCbwAWAToZZpuyTgHnXGc+n/8f4CJg92sQnFV6vLHnIlTp3z1V+usxpceHSt9vN7PHgDNKz/26VMZ30wDNuMI598UKmn1Tqa0fYtdvCwcyleLup1faCSwoPU6guIvrpQqOLwNT3w6Hsg6H16z3MBZJ/NS3ExZjn1DWgVJpXhm0rU9EJH5m1kFxgvLPzrnv9vOaZ4BZwAXOue+Uvncr8E7geufc+WZ2PPDeAQ51h3Pujt3e92fAP7BbaZ6ZXQR8HTjdOXePmd0DvI4BSvPMbC7wQOnLEc657WY2gmK5IcBc59yDA7RPRERERCqgz/Dpph0+FZg5c2ZN0m0Qv/L5fC3F68ssyOVynUm3R/xR1ulgZjZ58uRJ55xzzpzGxsY7Pv3pT/fMYi3F3UIHDvAWayguRI3o8b2RpcfV3d+IosgmT548efXq1asLhcK+/AbmQxQnNZ8pXWz8iNL332Vmzjl3WR//Zk2Pv48AtvdoY692yr5T3w6Hsg6H76z3MBZJzNS3kxdXn1DW4dI1jyowbtw4LURlXw3Fa8so6+xT1unQsHbt2ht/+MMfXnX//fcP2+25eaXHc8zswJ5PmNms0l8fLz0eX/p+PXD0bs8dWigUPrlq1aqzC4XCJ4ELd/szt4L2GjCG4vWn3gqMLX1/BnBCqQ2NZnaImc0oPbcC2NCznT2OuR5YVcHxZc/Ut8OhrMPhO+uBxiKJn/p28uLqE8o6UCrNK4O29YmI+LGHu+aNA/5CccdTC3AHsI3iQlNz6a55+1O8a95Qet8173GKFziv9K555wCvpVhudyCwBLgfeMY5d1Ufr7+H3UrzelyTarlz7sDS9z4N/BfFu+b9luIi1njgIufcNytpo4iIDK4s3CFMZDBloU/oM3y6qTSvAirNy77S9tBTgXu0PTTblHV6mJmNGTNm3KxZs3qdY51zG0vXd7oEeAfw90Ab8Czw49JrVprZG4GrKC7utAG/AC7uuQhVQd6vpVh+121G6c+fS8fYW9cAdcC5wPsp3tnvv4Bv7cN7Sh/Ut8OhrMMRR9b9jUUSP/XtdIijTyjrcKk0rwIjR47U/6/siyh+6FTW2aesU6ShoWHYmDFjXpWFc26rc+7fnHOznXNDnHONzrnjnXM39XjNX5xzJzvnhjrnRjvn/sE59/Jub1VW3s65DzvnrI8/p/bz+lNLz1/a43s/Kn3vwB7fc865q5xz051zdaXHr1a6Y0vKor4dDmUdjliy7m8sktipb6dEDH1CWQdKpXll0LY+ERE/srD1W0REqpvGIpHestAn9Bk+3VSaV4Fhw4YdY2bV/ENcD7Qn3Yg0GzlyZM0FF1xw4nXXXTe/paWlK+n27ANlvQcZyrra1ZtZ49ixY0e95jWv8b31+y3A77T1O9uUdTiUdTjiyNrMbNy4cRN0KY7kqW+nQxx9QlmHSwtRFdi5c+efkm7DvojMKGgH3IB27NjBAw88wI4dO5Juyj6JImPf7lCffVnJOgtKO3Pd888/PxV4xtNhuu92Z57eX9JDWYdDWYcjlqxra2vrhg4dqp+n5Klvp0QMfUJZB0qleWXo3tZ36jv/ifFTpifdnL2y/JnHeeiuX/C1d72eGePHJN0c8ejPz73EN//4MDdc8h5mTZ2QdHNEBtTZ1cUPfrOA/73rUYC/dc49lHSbREQkLGZWB5xT+vJG51xHku0RSVoW+oRK89JNO6IqMGb85KpdiNq8bhUAM8aP4bD9xifcmvRyGC2jJjBy6zqM6lykXbJ+MwCzpk7gqJlTEm5NehUcbCiMoCnaRqTfwSSqpqaWpdsaePrpp70dI5/P1wFnAvNyuVzVTaakfMo6HMo6HL6zds515PP5G0vHkISpbycvrj6hrMOlq9OLiIiIiIiIiEgstCOqAqpizD7DMWrr2qSbITGIDCbUbEu6GcFzzrG9dSfz588H8HaRytJv2W7Z4wul6inrcCjrcPjO2swMGAbcBXTq0iXJUt9OXlx9QlmHSwtRFTCV72Sew2gePZnGLaurtjRPylNwsLZrFBNrtqo0L0FtHZ38x4/vYty4cbS3tw/zdZzS1u9/BH6qrd/ZpqzDoazDEUPWDWb2vxMnTpxy6KGHngzoN1UJUt9OhVj6hLIOl0rzRHZT06VzYCjqrCvpJkhJZ2cnBb+3enTA5tKjZJuyDoeyDkcsWXd2dna0trbq5yl56tspEUOfUNaB0o6oCmiXbvYZjpEt65NuhsQgMmiq2Z50M4Riv2tubgbwtjKYy+U6gdt9vb+kh7IOh7IORxxZO+fchg0b1m7YsEG/pUqY+nY6xNEnlHW4tBBVAZXvZJ8zY8uY/Rm9eSWmlcdMKzhY3dXI5Jpm9e2EOYympiY6Ozu9jUn5fL4e+AhwUy6Xa/d1HEmesg6Hsg5HHFmbmU2aNGnq0UcfXQfs9HEMKY/6djrE0SeUdbi0EFUBLUsEwEF92w6FHYihpjLMtGhra/NdmlcAlpQeJduUdTiUdThiybqtrW3H5s2b9fOUPPXtlIihTyjrQGkhqgLaIJN9hmP49o1JN0NiEBmMrdmRdDOEYr9raWkB/6V5f/D1/pIeyjocyjoccWTtnHObNm3a8MADD6g0L2Hq2+kQR59Q1uHSQlQFIt02L/MKZmwZO43Rm14i0spjphWcsaqrkSk1zUSmrJPkMCZMmEBXV1edr2Pk8/kG4Dzg+lwu1+brOJI8ZR0OZR2OOLKOoiiaPHnyAccdd1w9Ks1LlPp2OsTRJ5R1uHTXvAo41WtlnjkY0tqM1iVC4BhpbagOM1k1UcScWVMxM3bu3OmzVrILeBSPu64kNZR1OJR1OHxn3WVmfxw5cuQfu7q6dJ2a5KlvJy+uPqGsA6UdURXQBpnsMxzDdmxJuhkSg8hgdE1r0s0IXl1tDe8+7Siu++W9AN4mOqWt3/f7en9JD2UdDmUdDt9ZO+c6gGt8vb9URn07eXH1CWUdLi1EVUCledlXMGPTuAMZu3GZSvMyruCMFZ1jmFq7WaV5CXMYZ511Fn/5y198l+ZdBFyrrd/ZpqzDoazDEUfW+nlKD2WRDup34pNK8yrgtDCReeYcw7dtxJR15hmOMTXbMZXmJco5R1tHB0888QQtLS0+t2V3Xwyz0+MxJB2UdTiUdTi8Zm1m9oUvfKFm9erV9z755JP6eUqe+nbCYuwTyjpQpsWVPTOzUUDzmedezn4HzU66OXvlucfv5w8/u45fnf9ODttvfNLNEY/+76/P8dlb7+be6z7JUTOnJN0ckQHtbO/gzMtuZP6iZQAnOOcWJNwkEREJjJkNAW4pfXm2c04XK5egZaFPdH+GBxqdc1uTbo/0ptK8Cqg0L/sKZmwcP4Nx65eoNC/jCs5Y1jmWA2s3qTQvYQ5jv/32o62tzXdp3mXAldr6nW3KOhzKOhxxZB1FUTR16tSDjz76aN01L2Hq2+kQR59Q1uHSQlQFClqYyDxzjlHNa1SaFwDDMaGmRaV5qeDYtGkTXV1dPrdld1D8zZ7PO/NJOijrcCjrcHjPulAoFDZs2PDywoUL9fOUPPXtFIipTyjrQGkhSqQHAxratiXdDImBGYww3aE5DQzYuXMn4G9VMJfLFYCnfL2/pIeyDoeyDkdcWW/fvn3biy++qN9QJUx9Oz189wllHS4tRFUgilSal3UFi9gw8WCa1r5A5ApJN0c86nLG0s5xTK/dSI1K8xLlMPbff3927txZ7+sY+Xx+CHAFcHkul1PJRYYp63Ao63DEkXUURdG0adNmHX/88Q2oNC9R6tvpEEefUNbh0kJUBQoFfVjNOnMFRm9cgWkRKvMiHFNqmolUmpcCjnXr1uGc87ktux34XulRsk1Zh0NZh8N71oVCobB27drljzzyiH6ekqe+nQIx9QllHSgtRIn0YEB9R2vSzZAYmMFQUzl6GhjQ3t4O/kvzXvT1/pIeyjocyjoccWXd2tq6Q6V5yVPfTg/ffUJZh0sLURVQaV72FSxi3aTXMGHNcyrNy7guZyzpGM+MuvUqzUtQZMbhB02hfUgTy5cv9zYmlbZ+Xw1coq3f2aasw6GswxFD1oX6+voHTznllLcccMABdag0L1Hq26kQS59Q1uHSQlQFVJqXfeYKjFu/VKV5AYhwHFC3UaV5Cauvq+V9b5rDLf9+M9u3b/e5HbGd4kRHW7+zT1mHQ1mHw2vWzrn2fD7/FeCHwHYfx5CKqG8nLMY+oawDpYUokR4MqOtsS7oZEgMzaKAr6WYIxX63efNm8F+a97Kv95f0UNbhUNbhiCNr/Tylh7JIB/U78UkLURVQaV72FSxi7eTZTFy9WKV5GdfljOc7JjCzbp1K8xLmiDj//PO57bbbfN8175vAhdr6nW3KOhzKOhxxZK2fp/RQFumgfic+aSGqAirNyz5zBSaseValeQGIcMyoW6/SvITtbO/g0uvn8dDiFTjnNYs24NLSo2Sbsg6Hsg6H16zNbAhwS21tbV1jYyO5XM7HYaR86tsJi7FPKOtARUk3QCRttAgVDi1CpUehEEu/0y0xw6Gsw6Gsw+E960KhoJr99FDfToGY+oSyDpAWoiqg0rzsc6XSPGfqGllXoFiaV0D9OnnGtGnTGDt2rLfSPKCB4tbvBo/HkHRQ1uFQ1uHwnnUURdH06dMPP/300/XzlDz17RSIqU8o60CpNK8CKs3LPnMFJq5erF1RAYhwzKxbp11RqeB46aWXMDOfd0xpAy5EW79DoKzDoazD4T3rQqFQWLp06aItW7bo5yl56tspEFOfUNaB0rYPkd1oN1Q4tBsqPaIoln43NI6DSCoo63Ao63B4zzqKohrfx5CyqW+nQEx9QlkHSJ+4K6DSvOxzFrFu0iwtRgWggLGkY7wWo1LB2H///eMozbsKbf0OgbIOh7IOh/esoyiKDjjggNkqzUsF9e0UiKlPKOtAmee7FGWCmY0Cms8893L2O2h20s3ZK889fj9/+Nl1/Or8d3LYfuOTbo549H9/fY7P3no39173SY6aOSXp5ogMaGd7B2dediPzFy0DOME5tyDhJomISGC67xBW+vJs55xuIy9By0Kf6P4MDzQ657Ym3R7pTdeIEunBAZ21DdR2tmmfTMY5B+3UUE8XprATE5kxa9pEHnthDV1dXd5+M5LP5yNgErAml8vpInAZpqzDoazDEUPWBTN7tLGxccSUKVP0W/qEqW+nQix9QlmHSwtRFVBpXvY5i9g4fjoT1jynC5ZnXAFjecc4ZtStp0YXLE9MfV0tH/67E4gmH85vfvMbnyfZeuCS0p+q+62eVERZh0NZh8Nr1s659nw+fxVwNeh3kSmgvp2wGPuEsg6USvPKoNI8qSYqzZNq88Tzqzjlgm8BzHHOPZZ0e0RERESkuqk0L920I0qkBwd01A2lrqNVvw7LOOdgp6tjiHWoNC9hDpg4cSKbN2/2lkRp6/eBwDJt/c42ZR0OZR2OOLLWz1N6KIt0UL8Tn3RrsAqoNC/7nEVsGTdVd80LQAFjVVej7pqXsJ3tHXzhxt/S0NDAqFGjhns8VD1wbulRsk1Zh0NZh8Nr1mY25B3veMetn/nMZ377//7f/xvp4xhSEfXthMXYJ5R1oFSaVwaV5kk1UWmeVBPdNU9ERJKWhTuEiQymLPQJlealW9WU5pnZqcCfgDHOuS2JNqZCN191AS2bNwDw+nf/M4fMOQWAzo52fvyVf6ZtxzYA3vbRS5k26yiWLX6Mh39/C5vWrqS+YSjTDzuOE9/2fuobhib235BGr//6/7BqS/H/3dXvOI0zj54FwM6OTl73tZvZ0toGwA0f/DtmTRzLv+fv5a8r17FlR/E8+sdPvZf9x4zq9Z4OaG8YQX3bNu2TyTjnYLurZ7i1YwaHf/AqXlq7GYDrP/Nu3vvGOQC0tnVwyPu+wuaWHQD88ssfZcu2Vm767YM8t2IdW7a1MmnsKN56wqH82wffxKjhQxL7b6pWDhgyZAhdXV2+S/NmA4u19TvblHU4lHU44sp6+PDhIyZOnKgpYMLUt9PDd59Q1uFKtP7IzH5kZvM8H2OImX3HzDaa2TYz+6WZTdyb94oG4UIyi+bf+crfn3v8/lcWobqtW/kiv/vx19i4+iUOOuJvGTpiFE8/9Efu/sV39/nYWfY/Dy565e+3L3z+lUWobpu372Tphi0cMWXg3WDOjK2Nk3C6aFDmOYx1XSNxfSw5fv//5r/y91v+9Pgri1Dd/vjoczy/cj2vPeIg3nbiYby8oZnvzvsLF37rV97bnU3G2LFjGTVqlM9fjtQBZ5ceJduUdTiUdTi8Zx1FUdTU1LTfkUceqZ+n5Klvp0BMfUJZB6pqdkTtg28Ab6X4A94MXAf8Cjip0jcq7GMZY8OwEaxbuYS1Lz3PxGkzeXL+nTQMG9FrMerRu2/DOceRr30zJ73tA7Ru38qPvnweLy56iI2rX2Lc5Gn71IYsGj20gSdXreevK9byN1Mn8j8LFjF6aEOvxahDJjfx+4vfy5L1m7nv+Z/3+16Rc4xf90IczZaEReY4qG7jq74/ZuQwHntuJQ8/8xLHHTKN7+XnM2bksF6LUeflTuLbF72TutoaAL7847v46v/7I79/6JnY2p8lhuPll18G6PB1jFwu1wZ80df7S3oo63Ao63DEkXWhUCgsX778ueXLl7f7PI7smfp2OsTRJ5R1uFJzRWYzazCzb5nZOjPbaWb3m9lxfbz0JDNbWHrNAjM7fID3bAQ+BnzKOXe3c+5R4CPAiWY2t+I2VvoPdnPInNeBGQvn38nLSxezcfVyDj3utF6v2fDyUgAmTJ0BwNDho2gcNwmA9S8v28cWZNM7jjkEM7h5wSIeWbaaZ9Zs5F1z9u5aXg5oHTIKXTkt+5yDrYUGdl9ffv+b5mBmfC8/n/lPLuXJF1fzoTf3PhUdNXPKK4tQAO0dnQBMbmr03u4scsCwYcMYMmSItzEpn8/X5PP5Ofl8vmbPr5ZqpqzDoazDEVfWI0eObDzyyCNT8/koVOrb6eG7TyjrcKXpRPtV4J3Ah4BjgBeAO81s7G6v+xrwaeA4YD1wu5n1t5VvDsVtfn/o/oZz7hngJeCE/hpSWhQb1f0HGFn6/t78d72isWkS02YdxZKFC3j497diUcThJ7yp12t2tDQDUFe/6zoz3X/f0bJ5n46fVdPGjuKUmdO446klfOvuh6mJjPf+7WF79V7OjO0jxqk0LwAOY3PX8FeV5h20XxNvPG4W8+5byFdu/j01UcQ5b+/3dMHdjz7Hf8+7n9qaiKvOe7vvZmeUMWrUKIYPH+5zElILvIEwdgKHTlmHQ1mHw3vWURRFo0ePbjrooIP085Q89e0UiKlPKOtApSJwMxsOnA982Dn3u9L3Pg68keKOpq/1ePkVzrnfl17zIWAlcBbwiz7eehLQ3sfFzdeWnuvPZcDlu39zX0vzAI488QxeeuZxVi15iumHHcfIMb2vWTRsZCMtmzfQ0b7rxgQdba2l58bs8/Gz6v1zD+fPz73Eg0tf5g2zD2TK6L27y2jkHE0blg5y6ySNInMcULepz+fO/fsTueuhZ7j3r0t424mHMW1i333v5jsf5qJv3UZtTcTNn38vp895jc8mZ1JkxkGTx/LAokcB2vb0+r1V2vp9ta/3l/RQ1uFQ1uGIIetCoVBYuGLFioUrVqyouruDZY36dirE0ieUdbhSsRAFzKC4c+kv3d9wznWY2UMUr6Lf0wM9XrPJzJ7t4zX76krgmh5fjwRWDsYmmamv+RsamybRvGENR5x4xqueb9pvOi2bN7BuxRJm/s2JtG7fSvOmtaXnDtj3BmTUyQdP5cBxjSzb2Mz75x6x1+/jMFqHNTJ0RzOmAr1MKzjYWhjKqKiVaLe+/YZjX8OMKU0sWbWBc3MnvurfOuf40k138vWf/4mJY0fy08s/xLGHTI2p5dlSX1fLP+Vey2Mrd7By5UpvnS6fz9cCc4EFuVyu09dxJHnKOhzKOhy+s3bOtefz+X8vHUN37kqY+nby4uoTyjpcaVmI8mUNUG9mo3fbFTWx9FyfnHNt9PjNfHdJnu3zVaKK7/V3H/4c25s3sf/Br7681TGnncmypx/hyb/cwY5tzWx8eRmuUGD6YcfRNFkLUf0xM777vrewtmU7Jxw05VXPb9reylfvfICWnbuutffVOxYwrKGWj598NDPGF3e8OIOdQxsZ0tqMaR0q44wW18AodsJui45mxi+u+DAvb2zmdUcd/Kp/+eWf3MXXf/4nAI6fPY1b/vQ4t/zpcQCuPv/vvbc8i2bMmMHGjRt9lovXUCzXfhjQRCfblHU4lHU44shaP0/poSzSQf1OvEnLQtQSoJ3ineyWA5Su+3QccO1ur51L8RpPmNkY4DXA4n7e91GKd2E6Hfhl6d/MAqbRY2dVuQajNA9gzPj9GDN+vz6fmzh1Bm/+4Kd5+Pe3smThAuqHDOXQ41/PiW99/6AcO8sOGj+ag8aP7vO5He0d3Pb4c72+d+fTLwJw1tGzXlmIipxj7MblXtsp6RCZY2rtln6fnzl1PDOnju/zuVXrm1/5++1/earXc1qIqpzh+PWvfw3+75r3TV/vL+mhrMOhrMMRR9b6eUoPZZEO6nfiUyoWopxz283su8DXzGwTxYWmzwHDgB/s9vIvmNlGitd5+k9gAzCvn/dtNrMfANeU3ncr8G3gAefcgkrbubeleR+49LoBn//nq3/W6+vphx7L9EOP3buDBeTuTw+8OPfsf5w34Nd9cRg7ho9l2PZNKs3LuIKDLYVhjI52EBks+smlA75+6527ytffeNwsrv/Mu303MQg72zv40o/uZPTo0XR0dAz1dZzS1u9TgXu09TvblHU4lHU4fGdtZkPM7Ifjx4+fOGPGjL+fP3/+9sE+hpRPfTt5cfUJZR2upO+aF7FrC96lFHct3Qw8BhwMnOGc2/1WcZdSXDV9lOIFx9/unGunfxcDvy69970US/LesTeN1X3UAmDQ3jBMYQei1fV3w02J0/ad7dTW1lJXV+ez50UUr0eY9Lgn/inrcCjrcMSR9aiampqmMWPG6Ocpeerb6RBHn1DWgTI3SOVme3VwszuAF5xzFyTWiDKY2Sig+cxzL2e/gwb7uujxeO7x+/nDz67jV+e/k8P267vcSLLh//76HJ+99W7uve6THDXz1dfLEkmTne0dnHnZjcxftAzghL3ZrSoiIrIvzGwIcEvpy7Odc7pzngQtC32i+zM80Oic25p0e6S3RErzStd2OoniNrzrk2jD3hiMu+ZJujmMbSObGNGyQaV5GVdwsKkwnLHR9lfdNU/i5TAaGxvp7Oys8XWM0tbvtwC/09bvbFPW4VDW4YgjazOzcePGTZg5c6a3sUjKo76dDnH0CWUdrqSuEfVDihci/zqQT6gNIn3qqlG5Vig6nOaaaVFbW0uhUPC5JGjAGFR4GwJlHQ5lHY5Ysq6tra0bOnSofp6Sp76dEjH0CWUdqEQWopxzZyVx3H2VYBWjxMRwjN7yctLNkBhEBpNrtUs3DQzHxo0bweNte3O5XAfwE1/vL+mhrMOhrMMRR9bOObdmzZqVa9as0a6MhKlvp0McfUJZhysVd82rFirNyz6H0TJqAiO3rlNpXsYVHGwojKAp2qbSvIQ5jDFjxtDZ2eltTMrn83XAmcC80qRHMkpZh0NZhyOOrM3MmpqaJh1xxBH6fJQw9e10iKNPKOtw6er0IiKSmMiM/cePZsiQIZhZIen2iIhIkApm9sLo0aNXjxgxQmORiPqEeJboXfOqhe6aJ9VEd82TavPE86s45YJvAcxxzj2WdHtEREREpLrprnnppq2nFVBpXvY5jObRk2ncslqleRlXcLC2axQTa7aqNC9hDuPUU0/liSee8L31+x+Bn2rrd7Yp63Ao63DEkbV+ntJDWaSD+p34pNI8kd3UdOkcGIo660q6CVKyfft2urq6fK7+OmBz6VGyTVmHQ1mHI46s9fOUHsoiHdTvxBvtiKqAqhizz3CMbFmfdDMkBpFBU832pJsRvLb2Tq7+39/z8MNPg8dfjuRyuU7gdl/vL+mhrMOhrMPhO2szawD+u/TlXc453TkvQerbyYurTyjrcGkhqgIq38k+Z8aWMfszevNKTCuPmVZwsLqrkck1zerbCXI4Nre00tTURGdnZ52v4+Tz+XrgI8BNuVyu3ddxJHnKOhzKOhwxZG1mNnHSpElTjz766HqgzcMxpEzq26kQS59Q1uHSQlQFtCwRAAf1bTsUdiCGmsow06KtrY1CoeCz5xWAJaVHyTZlHQ5lHY5Ysm5ra9uxefNm/TwlT307JWLoE8o6UFqIqoA2yGSf4Ri+fWPSzZAYRAZja3Yk3Qyh2O9aWloAvF20q7T1+w++3l/SQ1mHQ1mHI46snXNu06ZNGx544AFdQDJh6tvpEEefUNbh0kJUBSLdNi/zCmZsGTuN0ZteItLKY6YVnLGqq5EpNc1EpqyT5DAmTJhAV1eXz9K8BuA84PpcLqeSiwxT1uFQ1uGII+soiqLJkycfcNxxx9UDO30cQ8qjvp0OcfQJZR0uLURVwKleK/PMwZDWZrQuEQLHSGtDdZjpsGPHDpxzPrdldwGP4nHXlaSGsg6Hsg6H96ydc2779u3Na9eu1c9T8tS3UyCmPqGsA6WFqApog0z2GY5hO7Yk3QyJQWQwuqY16WYIxX63bds28F+ad7+v95f0UNbhUNbhiCNr55zbsmXLJpXmJU99Ox3i6BPKOlxaiKqASvOyr2DGpnEHMnbjMpXmZVzBGSs6xzC1drNK8xJkGOPHjGT69Ols3brV25hU2vp9EXCttn5nm7IOh7IORwxZu5qamlWHHHLI3xx22GF1qDQvUerbqRBLn1DW4dJCVAWcFiYyz5xj+LaNmLLOPMMxpmY7ptK8RDXU1/KpfziNj37jN7S2tvqc+HdfDLPT4zEkHZR1OJR1OLxm7Zxry+fznwCOAnQnk+Spbycsxj6hrAOlhagK6ONq9hkwdOfWpJshMTCDUaZfvKSBAUuWLAGPt+7N5XLd1yCQjFPW4VDW4Ygja/08pYeySAf1O/FJC1EVUGle9hXM2Dh+BuPWL1FpXsYVnLGscywH1m5SaV7CHMZ73vMe7r77bt93zbsMuFJbv7NNWYdDWYcjjqz185QeyiId1O/EJy1EVaCghYnMM+cY1bxGpXkBMBwTalpUmpewtvZOrvn53fzhsRdpb2/3udrfAdxSepRsU9bhUNbh8Jq1mTUA3xg7duyYpqYmy+VyPg4j5VPfTliMfUJZB0oLUSI9GNDQti3pZkgMzGCEtSfdjOA5HOs3t7B9+3avx8nlcgXgKa8HkVRQ1uFQ1uGIIWsDpm7atIlNmzZ5PIyUQ307FWLpE8o6XFqIqkAUqTQv6woWsWHiwTStfYHIebtcjaRAlzOWdo5jeu1GalSalyiHsf/++7Nz5856X8fI5/NDgCuAy3O5nO6GlGHKOhzKOhxxZB1FUTRt2rRZxx9/fAO6a16i1LfTIY4+oazDpYWoChQK+rCadeYKjN64AtMiVOZFOKbUNBOpNC8FHOvWrcM553NbdjvwvdKjZJuyDoeyDof3rAuFQmHt2rXLH3nkEf08JU99OwVi6hPKOlBaiBLpwYD6jtakmyExMIOhpnL0NDCgvb0dPN6ctLT1+0Vf7y/poazDoazDEVfWra2tO1588UX9hiph6tvp4btPKOtwaSGqAirNy76CRayb9BomrHlOpXkZ1+WMJR3jmVG3XqV5CXMYU6dOpbW11Xdp3tXAJdr6nW3KOhzKOhxxZB1FUXTggQfOPvbYY1WalzD17XSIo08o63BpIaoCKs3LPnMFxq1fqtK8AEQ4DqjbqNK8VHCsWbMG/N4xpZ3iREdbv7NPWYdDWYfDe9aFQqGwatWqF3weQ8qmvp0CMfUJZR0oLUSJ9GBAXWdb0s2QGJhBA11JNyN4hjFm5DA6OjoAvK0Al7Z+v+zr/SU9lHU4lHU4YsjaAeva2tp48cUX9dvIhKlvp0IsfUJZh0sLURVQaV72FSxi7eTZTFy9WKV5GdfljOc7JjCzbp1K8xLUUF/LJe97Ewcc9Tpuu+02byfZ0tbvbwIXaut3tinrcCjrcPjO2jnXls/nP1E6hib8CVPfTl5cfUJZh0sLURVQaV72mSswYc2zKs0LQIRjRt16lealQoGf/OQn7Ny50+e27Dbg0tKjZJuyDoeyDkccWevnKT2URTqo34k3UdINEEkbLUKFQ4tQ6VG6a55vuiVmOJR1OJR1OOLIWj9P6aEs0kH9TrzQQlQFVJqXfa5UmudMXSPrChRL8wragZ+o9o5OrvvlfcyePZuxY8cO83ioBopbvxs8HkPSQVmHQ1mHw2vWZlb/rne969qrr776odtvv32Ej2NIRdS3ExZjn1DWgdKn7QqoNC/7zBWYuHqxdkUFIMIxs26ddkUlrOAcK9dv5sknn2Tjxo2dHg/VBlyItn6HQFmHQ1mHw3fWUWdn50EPPvjginnz5vm8g6uUR307eXH1CWUdKC1EiexGu6HCod1Q6RFFsfS7oXEcRFJBWYdDWYfDe9ZRFNX4PoaUTX07BWLqE8o6QPrEXQGV5mWfs4h1k2ZpMSoABYwlHeO1GJUKxv7778/YsWPrPR6kAbgKbf0OgbIOh7IOh/esoyiKDjjggNmnn366fp6Sp76dAjH1CWUdKHNOZSl7YmajgOYzz72c/Q6anXRz9spzj9/PH352Hb86/50ctt/4pJsjHv3fX5/js7fezb3XfZKjZk5JujkiA9rZ3sGZl93I/EXLAE5wzi1IuEkiIhIYMxsC3FL68mznnG4jL0HLQp/o/gwPNDrntibdHumtNukGiKSJAzprG6jtbNM+mYxzDtqpoZ4uTGEnygF1dXWAv26Xz+cjYBKwJpfL6SJwGaasw6GswxFX1g0NDQ1TpkzRrCBh6tvp4btPKOtwaSGqAi2b1rC+YUjSzdgrWzetA2DJ+s0JtyTlogh7zTG45x6DQnWeC1dubgHg2RXrEm5JujkidjTOYFjzEozqzDoL2jo62d7azqRJk2htba3zeKh64JLSn6r7rZ5URFmHQ1mHw3vWURRFU6ZMOfjYY4+tR7eTT5r6dgrE1CeUdaBUmleGHtv6qlpkRkF5ByGKTHd5lGrTBcx2zj2fdENERCQspTKkH5S+/Fg1liGJDKYs9AmV5qWbdkRVoLa29nWdnZ3bkm7H3io4Vw+0J92ONKuvr7czzjhjvzvvvPPl9vb2ql3JKRSU9Z5kJessqK+vtw984AND3/72ty/xdYzS1u8DgWXa+p1tyjocyjocvrN2zu3M5/MfKB1D86eEqW8nL64+oazDpYWoCpxwwgmL77333vVJt0P8yefzQ4B3f+xjH7s8l8tV3cq/lE9Zp0cpiyuAR/C3LbseOBe43OMxJB2UdTiUdTjiyFo/T+mhLNJB/U68UWleGbStT0RERERERKQ66DN8umlHVAWampp0F42MK20PnQ0s1vbQbFPW6WBm9WZ2xYQJE5qampouWLRoUZuP4yjvcCjrcCjrcPjOOq6xSMqjvp08zc/EtyjpBlSTgw8+2OcdnSQd6oCzS4+Sbco6HSIzO3LIkCGnzJw5s8HjcZR3OJR1OJR1OHxnHddYJOVR306e5mfilUrzyqBtfSIifpTuynJL6cuzq/GuLCIiUt00Fon0loU+oc/w6abSvApMnTpVO8gyLp/P1wBHAU/kcrmuhJsjHinrdBk5cmTj9OnTvZ1jlXc4lHU4lHU44sra91gk5VHfTg/Nz8QXnWgrMGXKFC3cZV8t8Aa0SBsCZZ0SURRFo0ePbjrooIN8ZqG8w6Gsw6Gsw+E965jGIimP+nYKaH4mPqk0rwza1ici4kcWtn6LiEh101gk0lsW+oQ+w6ebVh4rMHPmzJqk2yB+5fP5WmAusCCXy3Um3R7xR1mnh5lZY2PjmNmzZ3s7xyrvcCjrcCjrcMSRdRxjkZRHfTsdND8Tn1SaV4Fx48ZpYMq+GmBO6VGyTVmnhJm1jxo1avjEiRN9ZqG8w6Gsw6Gsw+E965jGIimP+nYKaH4mPqk0rwza1iciIiIiIiJSHfQZPt1UmlcBleZlX2l76KnAPdoemm3KOj3iyEJ5h0NZh0NZh0PjRFiURTqo34lPKs2rwMiRI/X/K/siYAbqGyFQ1ukRRxbKOxzKOhzKOhwaJ8KiLNJB/U68UWleGbStT0TEDzOrBy4rfXmlc649yfaIiEh4NBaJ9JaFPqHP8Omm0rwKqDQv+0rbQ98C/E7bQ7NNWadGZGbHjRs3bsLMmTP/C/Ay0VHe4VDW4VDW4Ygh61jGIimP+nYqaH4mXmkLXAUaGhos6TaIdwaMKT1KtinrFKmtra0bOnSozyyUdziUdTiUdThiyTqGsUjKo76dEpqfiS8qzSuDtvWJiPhhZkOAW0pfnu2c25lke0REJDwai0R6y0Kf0Gf4dFNpXgUOP/xw/f/KuHw+XwecCczL5XIdCTdHPFLW6WFm1tTUNOmII47wdo5V3uFQ1uFQ1uGII+s4xiIpj/p2Omh+Jj6pNE9ERERERERERGKh0rwyaFufiIgfWdj6LSIi1U1jkUhvWegT+gyfbtp6WoFJkyaNMdN11LLs8MMPr73gggvedd111926aNEi3bkhw5R1ajSYWd348eMnDxkyZIyZbfdxEOUdDmUdDmUdjhiyjmUskvKob6dCFuZnIwf5/WQQaUdUGczsQGBp0u0QERERERERkbLt75xblXQjpDftiCrPptLj/kBLkg0R70YCK1HWIVDW6RFHFso7HMo6HMo6HBonwqIs0iEL/W4k8LKH95V9pIWoyrSovjTbepReKuuMU9bpEUcWyjscyjocyjocGifCoizSISP9Tj8/KaW75omIiIiIiIiISCy0ECUiIiIiIiIiIrHQQlR52oArSo+Sbco6HMo6PeLIQnmHQ1mHQ1mHQ+NEWJRFOqjfiTe6a56IiIiIiIiIiMRCO6JERERERERERCQWWogSEREREREREZFYaCFKRERERERERERioYUoERERERERERGJhRai9sDMPmFmy8xsp5k9aGbHJ90mGXxm9kUzc7v9eSbpdsm+M7NTzOx2M3u5lOuZuz1vZvYlM1ttZq1m9gczm5lQczNtT1ns9trrS6+5aLDe38x+1Ec/v2Ov/4MkMWZ2mZk9bGYtZrbOzOaZ2azdXjPEzL5jZhvNbJuZ/dLMJibVZtk7ZWZ9Tx99+/qk2ix7z8zON7OFZra19OcBM3tLj+f3qV+X8f7/VPp52lr6ORo9yP+JUlJGFurXMSgjhxlmdpuZrS89/4t9HUvN7NJSntf2+J7G7MBoIWoAZvYPwDUUbyl5DPBX4E4zm5Bow8SXp4DJPf68NtnmyCAZTrHvfqKf5z8HfBI4D/hbYDvFfj4knuYFZU9ZAGBmZwFzgZc9vP8d9O7n/1jhMSQdXgd8h+LPyRuBOuAuMxve4zXfAN4OnF16/X7Ar2Jup+y7crIGuIHefftzcTZSBs1K4FJgDnAscDeQN7PDSs/va7/e0/sPozhOfGXf/jOkDHvKAtSv49BvDqXz7F2AA14PnATUA7eb2V6tI5jZccC5wMLdntKYHRhzziXdhtQysweBh51zF5S+joAVwLedc1cl2jgZVGb2ReBM59xRCTdFPDIzB5zlnJtX+tooLnZ83Tn3X6XvNQJrgQ87536WVFuzbvcsenx/CvAgcAbwG+Ba59y1g/H+ZvYjYLRz7sy9bbekk5mNB9YBr3PO3Vvqx+uB9zrnbi295hBgMXCCc25Bcq2VfbF71qXv3QM84Zy7KMGmiSdmtgn4LHArHvp19/s7537Q43unAn8CxjjntuxL+6V8PbNQv05Ojz63AvgdxX6wtfRcI7AZeJNz7g8Vvu8I4DHgn4HPU8pXY3aYtCOqH2ZWT3Fl+JUO5pwrlL4+Ial2iVczrVjS86KZ/a+ZTUu6QeLddGASvft5M8WFEPXzmJUW+28Gvuace8rTYU4tlfc8a2bfNbNxno4j8WosPW4qPc6huHOmZ99+BngJ9e1qt3vW3d5nZhvMbJGZXWlmw+JumAwuM6sxs/dQ3O36AIPcr/t4f0nIAFmoX8eojxwaKO6Gauvxsp1Agb2rHPkO8Js+FrA0ZgeoNukGpFgTUENxZ0RPa4FD4m+OePYg8GHgWYpbfy8H7jOzw51zLUk2TLyaVHrsq59PQuJ2CdAJfMvT+99BcZv3UmAGxdKL35nZCc65Lk/HFM9KC5jXAn9xzi0qfXsS0N7HTgb17SrWT9YA/w9YTnGH65HA1cAs4B1xt1H2nZkdQfFD8BBgG8XdrU+b2VEMQr/u7/0HoelSoT1koX4dkwH63HqKl6y42sz+FTDgKoqfkSdXeIz3ULzUzXF9PK0xO0BaiBIBnHO/6/HlwlJZ5nLg3cAP+v5XIjJYzGwOcCFwjPNUM75bqeWTZrYQWAKcCvzRxzElFt8BDkfX9QtBn1k7577f48snzWw18Eczm+GcWxJnA2VQPAscRXH327uAH5vZ63y/vxajEtFvFurXseo3BzM7G/guxeupFoCfUiyvK5T75mY2Ffgm8Ebn3M5BbrtUKZXm9W8D0AXsfrX+icCa+JsjcSqtyD8HHJxwU8Sv7r6sfp68k4EJwEtm1mlmncABwNfNbJmPAzrnXqR4rlc/r1Jmdh3wNuA059zKHk+tAert1Xe8Ut+uUgNk3ZcHS4/q21XIOdfunHvBOfeoc+4yijehuJBB6tcDvL/ErMIs1K89GSgH59xdzrkZFOdoTc65DwBTgBcrOMSc0r9/rMcc73XAJ0t/X4vG7OBoIaofzrl24FHg9O7vlbaEn47qyDOvdDG9GcDqpNsiXi2lOMD17OejKN49T/08XjdT3Hp/VI8/LwNfo3jh8kFnZvsD41A/rzpWdB1wFvB659zS3V7yKNBB7749C5iG+nZVKSPrvhxVelTfzoaI4rVqfPXr7veX5A2UxVGlR/Vr/16Vg3Nug3Nui5m9nuKi0v9V8H5/BI6g9xzvEeB/e/xdY3ZgVJo3sGsobk18BHgIuIjixdtuSrJRMvjM7L+A2ymW4+0HXEFxR9xPk2yX7LvSomLP355NL11nYpNz7iUzuxb4vJk9T3Fh6j8oLoDMi7mpmbenLICNu72+A1jjnHt2X9+/9Ody4JcUFx9nAF8FXgDu3Jv/HknUd4D3Ajmgxcy6ryHR7Jxrdc41m9kPgGtKd//ZCnwbeEB336k6A2ZtZjNKz/+W4jnkSIq3Ab/XObf77cEl5czsSop36XoJGEkx21OBMwajXw/0/qXnJ1G8Jk33WHKEmbUALznndr9AvuyDgbJQv45PGX3iIxTvXree4oXDvwl8o9y5GUDpers9r+uHmW0HNnZf709jdni0EDUA59zPrXib4C9RHJSeAN7snNv9wsZS/fanuOg0juKJ9n5grnNufaKtksFwLMVbMHe7pvT4Y4oXqP8qxQXm7wOjKWb/ZtWwe7GnLHy+//kUJ7Ifopjzy8BdwL8753reDUaqw/mlx3t2+/5HgB+V/n4xxWtY/JLib3bvpHjLaKkue8q6HXgDu35ZuIJi5l+OpXUy2CYAP6F4IeRmYCHFRajfl57f1369p/c/j+IvLbrdW3rseW6RwdFvFqVrCqlfx2NPfWIWcCUwFlgG/CfFRcHBpjE7MObpmrAiIiIiIiIiIiK96BpRIiIiIiIiIiISCy1EiYiIiIiIiIhILLQQJSIiIiIiIiIisdBClIiIiIiIiIiIxEILUSIiIiIiIiIiEgstRImIiIiIiIiISCy0ECUiIiIiIiIiIrHQQpSIiIhkmpn9yMzmJd0OEREREYHapBsgIiIisrfMzO3hJVcAFwIWQ3NEREREZA+0ECUiIiLVbHKPv/8D8CVgVo/vbXPObYu3SSIiIiLSH5XmiYiISNVyzq3p/gM0F7+163vOuW27l+aZ2T1m9m0zu9bMNpvZWjP7uJkNN7ObzKzFzF4ws7f0PJaZHW5mvzOzbaV/c7OZNcX8nywiIiJS1bQQJSIiIiH6ELABOB74NvBd4BZgPnAMcBdws5kNAzCz0cDdwOPAscCbgYnAL+JuuIiIiEg100KUiIiIhOivzrkvO+eeB64EdgIbnHM3lL73JWAccGTp9RcAjzvn/tU594xz7nHgo8BpZvaaJP4DRERERKqRrhElIiIiIVrY/RfnXJeZbQSe7PH82tLjhNLj31BcdOrrelMzgOe8tFJEREQkY7QQJSIiIiHq2O1r1/N7zjlnZrBr9/gI4Hbgkj7ea7WPBoqIiIhkkRaiRERERPbsMeCdwDLnXGfSjRERERGpVrpGlIiIiMiefQcYC/zUzI4zsxlmdkbpLns1STdOREREpFpoIUpERERkD5xzLwMnATUU76j3JHAtsAUoJNYwERERkSpjzrmk2yAiIiIiIiIiIgHQjigREREREREREYmFFqJERERERERERCQWWogSEREREREREZFYaCFKRERERERERERioYUoERERERERERGJhRaiREREREREREQkFlqIEhERERERERGRWGghSkREREREREREYqGFKBERERERERERiYUWokREREREREREJBZaiBIRERERERERkVhoIUpERERERERERGLx/wFCfwTNhWSQXgAAAABJRU5ErkJggg==",
      "text/plain": [
       "<Figure size 1200x600 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "import matplotlib.patches as mpatches\n",
    "import numpy as np\n",
    "\n",
    "def plot_flowshop_gantt(T, schedule, machine_colors=None, save_filename=None):\n",
    "    \"\"\"\n",
    "    Plots a Gantt chart for a Permutation Flow Shop scheduling problem\n",
    "    with a completely transparent background.\n",
    "    \"\"\"\n",
    "    \n",
    "    T = np.array(T)\n",
    "    num_jobs, num_machines = T.shape\n",
    "    \n",
    "    if machine_colors is None:\n",
    "        machine_colors = plt.cm.tab10(np.linspace(0, 1, num_machines))\n",
    "    elif len(machine_colors) != num_machines:\n",
    "        raise ValueError(f\"Error: You provided {len(machine_colors)} colors, but there are {num_machines} machines.\")\n",
    "\n",
    "    start_times = np.zeros((num_jobs, num_machines))\n",
    "    end_times = np.zeros((num_jobs, num_machines))\n",
    "    \n",
    "    machine_avail_time = np.zeros(num_machines)\n",
    "    job_avail_time = np.zeros(num_jobs)\n",
    "\n",
    "    for job_idx in schedule:\n",
    "        for machine_idx in range(num_machines):\n",
    "            start_t = max(machine_avail_time[machine_idx], job_avail_time[job_idx])\n",
    "            duration = T[job_idx, machine_idx]\n",
    "            end_t = start_t + duration\n",
    "            \n",
    "            start_times[job_idx, machine_idx] = start_t\n",
    "            end_times[job_idx, machine_idx] = end_t\n",
    "            \n",
    "            machine_avail_time[machine_idx] = end_t\n",
    "            job_avail_time[job_idx] = end_t\n",
    "\n",
    "    # --- 1. TRANSPARENCY SETUP ---\n",
    "    # Set the outer figure background to 'none' (transparent)\n",
    "    fig, ax = plt.subplots(figsize=(12, 6), facecolor='none')\n",
    "    \n",
    "    # Set the inner plot area background to 'none' (transparent)\n",
    "    ax.set_facecolor('none')\n",
    "    \n",
    "    for job_idx in range(num_jobs):\n",
    "        for machine_idx in range(num_machines):\n",
    "            start = start_times[job_idx, machine_idx]\n",
    "            duration = T[job_idx, machine_idx]\n",
    "            \n",
    "            if duration > 0:\n",
    "                ax.barh(\n",
    "                    y=job_idx, width=duration, left=start, height=0.5, \n",
    "                    color=machine_colors[machine_idx], edgecolor='black', align='center'\n",
    "                )\n",
    "                ax.text(\n",
    "                    start + duration/2, job_idx, f\"M{machine_idx}\", \n",
    "                    ha='center', va='center', color='black', fontweight='bold', fontsize=9\n",
    "                )\n",
    "    \n",
    "    for job_idx in range(num_jobs):\n",
    "        if start_times[job_idx, 0] > 0:\n",
    "             ax.barh(job_idx, start_times[job_idx, 0], left=0, height=0.2, color='lightgray', hatch='///')\n",
    "\n",
    "        for m in range(num_machines - 1):\n",
    "            finish_prev = end_times[job_idx, m]\n",
    "            start_next = start_times[job_idx, m+1]\n",
    "            if start_next > finish_prev:\n",
    "                ax.barh(\n",
    "                    y=job_idx, width=start_next - finish_prev, left=finish_prev, \n",
    "                    height=0.2, color='lightgray', hatch='///', align='center'\n",
    "                )\n",
    "\n",
    "    completion_times = []\n",
    "    for job_idx in range(num_jobs):\n",
    "        c_t = end_times[job_idx, num_machines - 1]\n",
    "        completion_times.append(c_t)\n",
    "        ax.axvline(x=c_t, color='black', linestyle='--', linewidth=1.5, alpha=0.7, zorder=5)\n",
    "        ax.text(\n",
    "            c_t, job_idx + 0.25, f' C{job_idx}={c_t}', \n",
    "            color='black', fontweight='bold', va='bottom', fontsize=9\n",
    "        )\n",
    "\n",
    "    makespan = max(completion_times)\n",
    "    ax.text(\n",
    "        makespan, num_jobs - 0.5, f' Makespan: {makespan}', \n",
    "        color='black', fontweight='bold', va='bottom', fontsize=11\n",
    "    )\n",
    "\n",
    "    current_xticks = list(ax.get_xticks())\n",
    "    for c_t in completion_times:\n",
    "        if not any(abs(x - c_t) < 0.5 for x in current_xticks):\n",
    "            current_xticks.append(c_t)\n",
    "            \n",
    "    current_xticks.sort()\n",
    "    current_xticks = [x for x in current_xticks if 0 <= x <= makespan * 1.1]\n",
    "    ax.set_xticks(current_xticks)\n",
    "\n",
    "    ax.set_yticks(range(num_jobs))\n",
    "    ax.set_yticklabels([f\"Job {i}\" for i in range(num_jobs)])\n",
    "    ax.set_xlabel(\"Time\")\n",
    "    ax.set_ylabel(\"Jobs\")\n",
    "    ax.set_title(f\"Flow Shop Schedule: {schedule} | Total Makespan: {makespan}\")\n",
    "    ax.grid(axis='x', linestyle=':', alpha=0.6)\n",
    "    \n",
    "    patches = [mpatches.Patch(color=machine_colors[i], label=f'Machine {i}') for i in range(num_machines)]\n",
    "    patches.append(mpatches.Patch(facecolor='lightgray', hatch='///', label='Waiting'))\n",
    "    patches.append(plt.Line2D([0], [0], color='black', linestyle='--', label='Job Completion'))\n",
    "    ax.legend(handles=patches, loc='upper left') \n",
    "\n",
    "    plt.tight_layout()\n",
    "\n",
    "    # --- 2. SAVING WITH TRANSPARENCY ---\n",
    "    if save_filename:\n",
    "        # transparent=True is crucial here to ensure the saved PNG respects the 'none' backgrounds\n",
    "        plt.savefig(save_filename, transparent=True, dpi=300, bbox_inches='tight')\n",
    "        print(f\"Chart successfully saved as '{save_filename}'\")\n",
    "\n",
    "    plt.show()\n",
    "\n",
    "# --- Example Usage ---\n",
    "T_matrix = [\n",
    "    [2, 5, 7], \n",
    "    [12, 3, 8], \n",
    "    [5, 20, 4]\n",
    "]\n",
    "job_schedule = (0,2,1)\n",
    "my_hex_colors = [\"#6A89A8\", \"#D98368\", \"#F2B989\"]\n",
    "\n",
    "# This will generate the plot AND save a transparent PNG to your current folder\n",
    "plot_flowshop_gantt(\n",
    "    T_matrix, \n",
    "    job_schedule, \n",
    "    machine_colors=my_hex_colors, \n",
    "    save_filename='transparent_gantt.png'\n",
    ")"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "ai",
   "language": "python",
   "name": "python3"
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  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
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   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.11.13"
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