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    "# Bit-Interleaved Coded Modulation (BICM)\n",
    "\n",
    "In this notebook you will learn about the principles of bit interleaved coded modulation (BICM) and focus on the interface between LDPC decoding and demapping for higher order modulation.\n",
    "Further, we will discuss the idea of *all-zero codeword* simulations that enable bit-error rate simulations without having an explicit LDPC encoder available.\n",
    "In the last part, we analyze what happens for mismatched demapping, e.g., if the SNR is unknown and show how min-sum decoding can have practical advantages in such cases.\n",
    "\n",
    "*\"From the coding viewpoint, the modulator, waveform channel, and demodulator together constitute a discrete channel with* $q$ *input letters and* $q'$ *output letters. [...] the real goal of the modulation system is to create the \u201cbest\u201d discrete memoryless channel (DMC) as seen by the coding system.\"*\n",
    "James L. Massey, 1974 [4, cf. preface in 5].\n",
    "\n",
    "The fact that we usually separate modulation and coding into two individual tasks is strongly connected to the concept of bit-interleaved coded modulation (BICM) [1,2,5]. However, the joint optimization of coding and modulation has a long history, for example by Gottfried Ungerb\u00f6ck's *Trellis coded modulation* (TCM) [3] and we refer the interested reader to [1,2,5,6] for these *principles of coded modulation* [5].\n",
    "Nonetheless, BICM has become the *de facto* standard in virtually any modern communication system due to its engineering simplicity.\n",
    "\n",
    "In this notebook, you will use the following components:\n",
    "\n",
    "* Mapper / demapper and the constellation class\n",
    "* LDPC5GEncoder / LDPC5GDecoder\n",
    "* AWGN channel\n",
    "* BinarySource and GaussianPriorSource\n",
    "* Interleaver / deinterleaver\n",
    "* Scrambler / descrambler\n",
    "\n",
    "## Table of Contents\n",
    "* [System Block Diagram](#System-Block-Diagram)\n",
    "* [Configuration and Imports](#Configuration-and-Imports)\n",
    "* [A Simple BICM System](#A-Simple-BICM-System)\n",
    "* [All-zero Codeword Simulations](#All-zero-Codeword-Simulations)\n",
    "* [EXIT-Charts](#EXIT-Charts)\n",
    "* [Mismatched Demapping and the Advantages of Min-sum Decoding](#Mismatched-Demapping-and-the-Advantages-of-Min-sum-Decoding)\n",
    "* [References](#References)\n",
    "\n",
    "## System Block Diagram\n",
    "\n",
    "We introduce the following terminology:\n",
    "\n",
    "- `u` denotes the `k` uncoded information bits\n",
    "- `c` denotes the `n` codewords bits\n",
    "- `x` denotes the complex-valued symbols after mapping `m` bits to one symbol\n",
    "- `y` denotes the (noisy) channel observations\n",
    "- `l_ch` denotes the demappers llr estimate on each bit `c`\n",
    "- `u_hat` denotes the estimated information bits at the decoder output"
   ]
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    "![System Model](data:image/png;base64,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)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Configuration and Imports"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-02-14T00:13:29.878286Z",
     "iopub.status.busy": "2026-02-14T00:13:29.878165Z",
     "iopub.status.idle": "2026-02-14T00:13:32.739719Z",
     "shell.execute_reply": "2026-02-14T00:13:32.738648Z"
    }
   },
   "outputs": [],
   "source": [
    "# Import Sionna\n",
    "try:\n",
    "    import sionna.phy\n",
    "except ImportError as e:\n",
    "    import os\n",
    "    import sys\n",
    "    if 'google.colab' in sys.modules:\n",
    "       # Install Sionna in Google Colab\n",
    "       print(\"Installing Sionna and restarting the runtime. Please run the cell again.\")\n",
    "       os.system(\"pip install sionna\")\n",
    "       os.kill(os.getpid(), 5)\n",
    "    else:\n",
    "       raise e\n",
    "\n",
    "%matplotlib inline\n",
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "import torch\n",
    "\n",
    "# Load the required Sionna components\n",
    "from sionna.phy import Block\n",
    "from sionna.phy.mapping import Constellation, Mapper, Demapper, BinarySource\n",
    "from sionna.phy.fec.ldpc import LDPC5GEncoder, LDPC5GDecoder, LDPCBPDecoder, EXITCallback\n",
    "from sionna.phy.fec.interleaving import RandomInterleaver, Deinterleaver\n",
    "from sionna.phy.fec.scrambling import Scrambler, Descrambler\n",
    "from sionna.phy.fec.utils import GaussianPriorSource, load_parity_check_examples, \\\n",
    "                                 get_exit_analytic, plot_exit_chart, plot_trajectory\n",
    "from sionna.phy.utils import ebnodb2no, hard_decisions, PlotBER\n",
    "from sionna.phy.channel import AWGN\n",
    "\n",
    "sionna.phy.config.seed = 42 # Set seed for reproducible random number generation"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## A Simple BICM System\n",
    "\n",
    "The principle idea of higher order modulation is to map *m* bits to one (complex-valued) symbol *x*.\n",
    "As each received symbol now contains information about *m* transmitted bits, the demapper produces *m* bit-wise LLR estimates (one per transmitted bit) where each LLR contains information about an individual bit.\n",
    "This scheme allows a simple binary interface between demapper and decoder. \n",
    "\n",
    "From a decoder's perspective, the transmission of all *m* bits - mapped onto one symbol - could be modeled as if they have been transmitted over *m* different *surrogate* channels with certain properties as shown in the figure below."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "![BICM System Model](data:image/png;base64,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)\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "In the following, we are now interested in the LLR distribution at the decoder input (= demapper output) for each of these *surrogate* channels (denoted as *bit-channels* in the following).\n",
    "Please note that in some scenario these surrogate channels can share the same statistical properties, e.g., for QPSK, both bit-channels behave equally due to symmetry.\n",
    "\n",
    "Advanced note: the *m* binary LLR values are treated as independent estimates which is not exactly true for higher order modulation. As a result, the sum of the *bitwise* mutual information of all *m* transmitted bits does not exactly coincide with the *symbol-wise* mutual information describing the relation between channel input / output from a symbol perspective.\n",
    "However, in practice the (small) losses are usually neglected if a QAM with a rectangular grid and Gray labeling is used."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Constellations and Bit-Channels\n",
    "\n",
    "Let us first look at some higher order constellations. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-02-14T00:13:32.742559Z",
     "iopub.status.busy": "2026-02-14T00:13:32.742290Z",
     "iopub.status.idle": "2026-02-14T00:13:33.009163Z",
     "shell.execute_reply": "2026-02-14T00:13:33.008232Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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5enoW2yc4OLjE/fr4+MjHx6dIu5eXl0u/rK72tyJ3nwPqp37qp3535u5z4Er9pZmnKnV3rasiIiK0detWh7aEhARFRERIkry9vdWtWzeHPgUFBdq6davZBwAAoCqqUiHvwoUL2rt3r/bu3Svp90ek7N27VydOnJD0+2XUYcOGmf0feeQRHTt2TBMmTNDBgwf197//XW+//bbGjh1r9omLi9Nrr72m1atX68CBA3r00UeVlZVl3m0LAABQFVWpy7XffPONbrnlFnO58H1xw4cP16pVq3Tq1Ckz8ElSaGioPv74Y40dO1aLFi3Sddddp9dff918fIokDRkyRL/88oumTJmi1NRUde7cWZs2bSpyMwYAAEBVUqVC3s033yzDMEpcX9ynWdx8883as2fPZfcbGxur2NjYqx0eAABApVGlLtcCAADAOYQ8AAAACyLkAQAAWBAhDwAAwIIIeQAAABZEyAMAALAgQh4AAIAFEfIAAAAsiJAHAABgQYQ8AAAACyLkAQAAWBAhDwAAwIIIeQAAABZEyAMAALAgQh4AAIAFEfIAAAAsiJAHAABgQYQ8AAAACyLkAQAAWBAhDwAAwIIIeQAAABZEyAMAALAgQh4AAIAFEfIAAAAsiJAHAABgQYQ8AAAACyLkAQAAWBAhDwAAwIIIeQAAABZEyAMAALAgQh4AAIAFEfIAAAAsiJAHAABgQYQ8AAAACyLkAQAAWBAhDwAAwIIIeQAAABZEyAMAALAgQh4AAIAFEfIAAAAsiJAHAABgQYQ8AAAACyLkAQAAWBAhDwAAwIIIeQAAABZEyAMAALAgQh4AAIAFEfIAAAAsiJAHAABgQYQ8AAAACyLkAQAAWBAhDwAAwIIIeQAAABZU5ULekiVL1KxZM/n6+io8PFw7duwose/NN98sm81W5GvAgAFmnxEjRhRZHxUVdS1KAQAAKDfVKnoArli3bp3i4uK0dOlShYeHa+HCherbt68OHTqkBg0aFOn/7rvvKjc311w+e/asOnXqpMGDBzv0i4qK0sqVK81lHx+f8isCAADgGqhSr+TNnz9fo0aNUkxMjNq1a6elS5fKz89PK1asKLZ/YGCggoODza+EhAT5+fkVCXk+Pj4O/erUqXMtygEAACg3VeaVvNzcXO3atUuTJk0y2zw8PBQZGamkpCSn9rF8+XJFR0erRo0aDu2JiYlq0KCB6tSpo1tvvVUzZ85U3bp1S9xPTk6OcnJyzOXMzExJkt1ul91uv+I4Cvs409eq3H0OqJ/6L/3T3VC/e9cvMQelqb80c2UzDMNweasKcPLkSTVq1Ejbt29XRESE2T5hwgR99tlnSk5Ovuz2O3bsUHh4uJKTkxUWFma2r127Vn5+fgoNDdXRo0f1zDPPqGbNmkpKSpKnp2ex+5o2bZri4+OLtK9Zs0Z+fn6lrBAAAKB42dnZuv/++5WRkSF/f3+ntqkyr+RdreXLl6tDhw4OAU+SoqOjze87dOigjh07qkWLFkpMTFSvXr2K3dekSZMUFxdnLmdmZqpx48bq06ePUxNvt9uVkJCg3r17y8vLq5QVVW2lmYMvvvhCL730kvbs2aNTp05p/fr1GjhwoLneMAzFx8drxYoVSk9PV48ePbR48WK1atWqvMooNXf/HaB+6qd+69f/6quvav78+UpNTVXHjh21cOFC/fnPf5YknT9/Xg888ICSk5OVk5Oj3r17a/HixQoKCqrgUV8bpfkdKLxq6IoqE/Lq1asnT09PpaWlObSnpaUpODj4sttmZWVp7dq1mj59+hV/TvPmzVWvXj0dOXKkxJDn4+NT7M0ZXl5eLv2FdbW/FbkyBzk5OerSpYseeugh3XXXXapWrZrDtnPmzNGSJUu0evVqhYaGavLkybrtttv0/fffy9fXt7xKuCru/jtA/dRP/dasf926dRo/frzDjZIDBgwwb5ScNGmSdu7cqbfeekt169ZVbGyshgwZoq+++qqih35NufI7UJrflSpz44W3t7e6deumrVu3mm0FBQXaunWrw+Xb4qxfv145OTl64IEHrvhzfvrpJ509e1YNGza86jGjbPXr108zZ87UnXfeWWSdYRhauHChnnvuOQ0cOFAdO3bUG2+8oZMnT2rDhg3XfrAA4MYud6NkRkaGVq5cqb/+9a+65ZZb1K1bN61cuVLbt2/X119/XdFDt5QqE/IkKS4uTq+99ppWr16tAwcO6NFHH1VWVpZiYmIkScOGDXO4MaPQ8uXLNWjQoCI3U1y4cEHjx4/X119/rePHj2vr1q0aOHCgWrZsqb59+16TmlA2UlJSlJqaqsjISLOtdu3aCg8Pd/rGHADA1Su8UfLS8/GlN0ru2rVLdrtdHTt2NNe3adNGTZo04XxdxqrM5VpJGjJkiH755RdNmTJFqamp6ty5szZt2mRewz9x4oQ8PBxz66FDh/Tll19qy5YtRfbn6empb7/9VqtXr1Z6erpCQkLUp08fzZgxg2flVTGpqamSVOT9HEFBQeY6AED5O3PmjPLz84s9Hx88eFCpqany9vZWzZo1i6znfF22qlTIk6TY2FjFxsYWuy4xMbFIW+vWrVXSDcTVq1fX5s2by3J4KGP5BYZ2pJzT6fMX1aCWr8JCA+XpYavoYQEALnHpudqW/WtFDwf/X5ULeXAfm/adUvyH3+tUxkWzrWFtX029vV2RvoU336SlpTm8nzItLU2dO3cu97ECgLv647nayLdLHh76944DDu+ZL7xRMjg4WLm5ubpw4YLDfpy5kRKuqVLvyYP72LTvlB79526HgCdJqRkX9eg/dxfpHxoaquDgYIcbczIzM5WcnHzFG3MAAKVT3Lna5ukl76CWWvjGe9q075Qkxxslu3XrJi8vL3377bfmNocOHdKJEyc4X5cxQh4qnfwCQ/Effq8/XmQvyP1NOWnHlJN2TJJ09Ngx7d27VydOnJDNZtOTTz6pmTNn6oMPPtB3332nYcOGKSQkRIMGDbrmNQCA1ZV0rpYk/z8P0vn/bFZs/ELt2/+9w42StWvXVkxMjFauXKnExETt2rVLMTExioiI0A033HDN67AyLtei0tmRcq7IK3iSlJt6WGlvPWMuPzVunCRp+PDhWrVqlSZMmKCsrCyNHj1a6enpuvHGG7Vp06ZK+4w8AKjKSjpXS1KNtjcpPztDx7esVNf3F6pLF8cbJefNm6cff/xRQ4YMUU5Ojvr27au///3v13L4boGQh0rn9PniTxq+TTqq6dMfmcuLojtrYOdG5rLNZtP06dOdeug1AODqlHSuLuTf7Xb5d7u9yLlaknx9ffXwww/r/ffft+wDoSsDLtei0mlQy7lX3pztBwAoe5yrKz9CHiqdsNBANaztq5IelGLT73fZhoUGXsthAQAuwbm68iPkodLx9LCZj0n548mjcHnq7e14Xh4AVCDO1ZUfIQ+VUlT7hnr1ga4Kru34Mn9wbV+9+kBXRbXns4UBoKJxrq7cuPEClVZU+4bq3S6YT7wAgEqMc3XlRchDpebpYVNEi7oVPQwAwGVwrq6cuFwLAABgQYQ8AAAACyLkAQAAWBAhDwAAwIIIeQAAABZEyAMAALAgQh4AAIAFEfIAAAAsiJAHAABgQYQ8AAAACyLkAQAAWBAhDwAAwIIIeQAAABZEyAMAALAgQh4AAIAFEfIAAAAsiJAHAABgQYQ8AAAACyLkAQAAWBAhDwAAwIIIeQAAABZEyAMAALAgQh4AAIAFEfIAAAAsiJAHAABgQYQ8AAAACyLkAQAAWBAhDwAAwIIIeQAAABZEyAMAALAgQh4AAIAFEfIAAAAsiJAHAABgQYQ8AAAACyLkAQAAWBAhDwAAwIIIeQAAABZEyAMAALAgQh4AAIAFEfIAAAAsiJAHAABgQYQ8AAAAC6pyIW/JkiVq1qyZfH19FR4erh07dpTYd9WqVbLZbA5fvr6+Dn0Mw9CUKVPUsGFDVa9eXZGRkTp8+HB5lwEAAFCuqlTIW7duneLi4jR16lTt3r1bnTp1Ut++fXX69OkSt/H399epU6fMrx9++MFh/dy5c/Xyyy9r6dKlSk5OVo0aNdS3b19dvHixvMsBAAAoN1Uq5M2fP1+jRo1STEyM2rVrp6VLl8rPz08rVqwocRubzabg4GDzKygoyFxnGIYWLlyo5557TgMHDlTHjh31xhtv6OTJk9qwYcM1qAgAAKB8VKvoATgrNzdXu3bt0qRJk8w2Dw8PRUZGKikpqcTtLly4oKZNm6qgoEBdu3bVrFmzdP3110uSUlJSlJqaqsjISLN/7dq1FR4erqSkJEVHRxe7z5ycHOXk5JjLmZmZkiS73S673X7FWgr7ONPXqtx9Dqif+i/9091Qv3vXLzEHpam/NHNVZULemTNnlJ+f7/BKnCQFBQXp4MGDxW7TunVrrVixQh07dlRGRobmzZunHj16aP/+/bruuuuUmppq7uOP+yxcV5zZs2crPj6+SPuWLVvk5+fndE0JCQlO97Uqd58D6qd+d0b97l2/xBy4Un92drbL+68yIa80IiIiFBERYS736NFDbdu21T/+8Q/NmDGj1PudNGmS4uLizOXMzEw1btxYffr0kb+//xW3t9vtSkhIUO/eveXl5VXqcVRl7j4H1E/91E/97lq/xByUpv7Cq4auqDIhr169evL09FRaWppDe1pamoKDg53ah5eXl7p06aIjR45IkrldWlqaGjZs6LDPzp07l7gfHx8f+fj4FLt/V35ZXe1vRe4+B9RP/dRP/e7M3efAlfpLM09V5sYLb29vdevWTVu3bjXbCgoKtHXrVodX6y4nPz9f3333nRnoQkNDFRwc7LDPzMxMJScnO71PAACAyqjKvJInSXFxcRo+fLi6d++usLAwLVy4UFlZWYqJiZEkDRs2TI0aNdLs2bMlSdOnT9cNN9ygli1bKj09XS+++KJ++OEHPfTQQ5J+v/P2ySef1MyZM9WqVSuFhoZq8uTJCgkJ0aBBgyqqTAAAgKtWpULekCFD9Msvv2jKlClKTU1V586dtWnTJvPGiRMnTsjD4/9enPz11181atQopaamqk6dOurWrZu2b9+udu3amX0mTJigrKwsjR49Wunp6brxxhu1adOmIg9NBgAAqEqqVMiTpNjYWMXGxha7LjEx0WF5wYIFWrBgwWX3Z7PZNH36dE2fPr2shggAAFDhqsx78gAAAOA8Qh4AAIAFEfIAAAAsiJAHAABgQYQ8AAAACyLkAQAAWBAhDwAAwIIIeQAAABZEyAMAALAgQh4AAIAFEfIAAAAsiJAHAABgQYQ8AAAACyLkAQAAWBAhDwAAwIIIeQAAABZEyAMAALAgQh4AAIAFEfIAAAAsiJAHAABgQYQ8AAAACyLkAQAAWBAhDwAAwIIIeQAAABZEyAMAALAgQh4AAIAFEfIAAAAsiJAHAABgQYQ8AAAACyLkAQAAWBAhDwAAwIIIeQAAABZEyAMAALAgQh4AAIAFEfIAAAAsiJAHAABgQYQ8AAAACyLkAQAAWBAhDwAAwIIIeQAAABZEyAMAALAgQh4AAIAFEfIAAAAsiJAHAABgQYQ8AAAACyLkAQAAWBAhDwAAwIIIeQAAABZEyAMAALAgQh4AAIAFEfIAAAAsiJAHAABgQYQ8AAAAC6pyIW/JkiVq1qyZfH19FR4erh07dpTY97XXXtP//M//qE6dOqpTp44iIyOL9B8xYoRsNpvDV1RUVHmXAQAAUK6qVMhbt26d4uLiNHXqVO3evVudOnVS3759dfr06WL7JyYm6r777tO2bduUlJSkxo0bq0+fPvr5558d+kVFRenUqVPm11tvvXUtygEAACg3VSrkzZ8/X6NGjVJMTIzatWunpUuXys/PTytWrCi2/5tvvqnHHntMnTt3Vps2bfT666+roKBAW7dudejn4+Oj4OBg86tOnTrXohwAAIByU62iB+Cs3Nxc7dq1S5MmTTLbPDw8FBkZqaSkJKf2kZ2dLbvdrsDAQIf2xMRENWjQQHXq1NGtt96qmTNnqm7duiXuJycnRzk5OeZyZmamJMlut8tut19xHIV9nOlrVe4+B9RP/Zf+6W6o373rl5iD0tRfmrmyGYZhuLxVBTh58qQaNWqk7du3KyIiwmyfMGGCPvvsMyUnJ19xH4899pg2b96s/fv3y9fXV5K0du1a+fn5KTQ0VEePHtUzzzyjmjVrKikpSZ6ensXuZ9q0aYqPjy/SvmbNGvn5+ZWyQgAAgOJlZ2fr/vvvV0ZGhvz9/Z3apsq8kne1XnjhBa1du1aJiYlmwJOk6Oho8/sOHTqoY8eOatGihRITE9WrV69i9zVp0iTFxcWZy5mZmeb7/ZyZeLvdroSEBPXu3VteXl5XUVXV5e5zQP3UT/3U7671S8xBaeovvGroiioT8urVqydPT0+lpaU5tKelpSk4OPiy286bN08vvPCCPvnkE3Xs2PGyfZs3b6569erpyJEjJYY8Hx8f+fj4FGn38vJy6ZfV1f5W5O5zQP3UT/3U787cfQ5cqb8081Rlbrzw9vZWt27dHG6aKLyJ4tLLt380d+5czZgxQ5s2bVL37t2v+HN++uknnT17Vg0bNiyTcQMAAFSEKhPyJCkuLk6vvfaaVq9erQMHDujRRx9VVlaWYmJiJEnDhg1zuDFjzpw5mjx5slasWKFmzZopNTVVqampunDhgiTpwoULGj9+vL7++msdP35cW7du1cCBA9WyZUv17du3QmoEAAAoC1Xmcq0kDRkyRL/88oumTJmi1NRUde7cWZs2bVJQUJAk6cSJE/Lw+L/c+uqrryo3N1f33HOPw36mTp2qadOmydPTU99++61Wr16t9PR0hYSEqE+fPpoxY0axl2MBAACqiioV8iQpNjZWsbGxxa5LTEx0WD5+/Phl91W9enVt3ry5jEYGAABQeVSpy7UAAABwDiEPAADAggh5AAAAFkTIAwAAsCBCHgAAgAUR8gAAACyIkAcAAGBBhDwAAAALcjnkNW/eXGfPni3Snp6erubNm5fJoAAAAHB1XA55x48fV35+fpH2nJwc/fzzz2UyKAAAAFwdpz/W7IMPPjC/37x5s2rXrm0u5+fna+vWrWrWrFmZDg4AAACl43TIGzRokPn98OHDHdZ5eXmpWbNmeumll8psYAAAACg9p0NeQUGBJCk0NFTffPON6tatW26DAgAAwNVx6T15drtdzZs317lz58prPAAAACgDLoU8Ly8vffvtt+U1FgAAAJQRl++ufeCBB7R8+fLyGAsAAADKiNPvySuUl5enFStW6JNPPlG3bt1Uo0YNh/Xz588vs8EBAACgdFwOefv27VPXrl0lSf/9738d1tlstrIZFQAAAK6KyyFv27Zt5TEOAAAAlCE+uxYAAMCCXH4lT5K++eYbvf322zpx4oRyc3Md1r377rtlMjAAAACUnsuv5K1du1Y9evTQgQMH9N5778lut2v//v369NNPHT7qDAAAABXH5ZA3a9YsLViwQB9++KG8vb21aNEiHTx4UPfee6+aNGlSHmMEAACAi1wOeUePHtWAAQMkSd7e3srKypLNZtPYsWO1bNmyMh8gAAAAXOdyyKtTp47Onz8vSWrUqJH27dsnSUpPT1d2dnbZjg4AAACl4vKNFzfddJMSEhLUoUMHDR48WH/729/06aefKiEhQb169SqPMQIAAMBFLoe8V155RRcvXpQkPfvss/Ly8tL27dt1991367nnnivzAQIAAMB1LoW848ePKyEhQbm5uerZs6fat2+viRMnltfYAAAAUEpOh7xt27bptttu02+//fb7htWqacWKFXrggQfKbXAAAAAoHadvvJg8ebJ69+6tn3/+WWfPntWoUaM0YcKE8hwbAAAASsnpkLdv3z7NmjVLDRs2VJ06dfTiiy/q9OnTOnv2bHmODwAAAKXgdMjLzMxUvXr1zGU/Pz9Vr15dGRkZ5TIwAAAAlJ5LN15s3rzZ4aPLCgoKtHXrVvNZeZJ0xx13lN3oAAAAUCouhbzhw4cXaXv44YfN7202m/Lz869+VAAAALgqToe8goKC8hwHAAAAypDLH2sGAACAyo+QBwAAYEGEPAAAAAsi5AEAAFgQIQ8AAMCCXA55w4cP1+eff14eYwEAAEAZcTnkZWRkKDIyUq1atdKsWbP0888/l8e4AAAAcBVcDnkbNmzQzz//rEcffVTr1q1Ts2bN1K9fP73zzjuy2+3lMUYAAAC4qFTvyatfv77i4uL0n//8R8nJyWrZsqUefPBBhYSEaOzYsTp8+HBZjxMAAAAuuKobL06dOqWEhAQlJCTI09NT/fv313fffad27dppwYIFZTVGAAAAuMjlkGe32/Wvf/1Lt912m5o2bar169frySef1MmTJ7V69Wp98sknevvttzV9+vTyGC8AAACc4PRn1xZq2LChCgoKdN9992nHjh3q3LlzkT633HKLAgICymB4AAAAKA2XQ96CBQs0ePBg+fr6ltgnICBAKSkpVzUwAAAAlJ5Ll2vtdrtiYmJ05MiR8hoPAAAAyoBLIc/Ly0tNmjRRfn5+eY0HAAAAZcDlGy+effZZPfPMMzp37lx5jAcAAABlwOX35L3yyis6cuSIQkJC1LRpU9WoUcNh/e7du8tscAAAACgdl0PeoEGDymEYAAAAKEsuh7ypU6eWxzictmTJEr344otKTU1Vp06dtHjxYoWFhZXYf/369Zo8ebKOHz+uVq1aac6cOerfv7+53jAMTZ06Va+99prS09P1l7/8Ra+++qpatWp1LcoBAAAoF1f1iRfX2rp16xQXF6epU6dq9+7d6tSpk/r27avTp08X23/79u267777NHLkSO3Zs0eDBg3SoEGDtG/fPrPP3Llz9fLLL2vp0qVKTk5WjRo11LdvX128ePFalQUAAFDmXA55+fn5mjdvnsLCwhQcHKzAwECHr/I0f/58jRo1SjExMWrXrp2WLl0qPz8/rVixotj+ixYtUlRUlMaPH6+2bdtqxowZ6tq1q1555RVJv7+Kt3DhQj333HMaOHCgOnbsqDfeeEMnT57Uhg0byrUWAACA8uTy5dr4+Hi9/vrrGjdunJ577jk9++yzOn78uDZs2KApU6aUxxglSbm5udq1a5cmTZpktnl4eCgyMlJJSUnFbpOUlKS4uDiHtr59+5oBLiUlRampqYqMjDTX165dW+Hh4UpKSlJ0dHSx+83JyVFOTo65nJmZKen35wja7fYr1lLYx5m+VuXuc0D91H/pn+6G+t27fok5KE39pZkrl0Pem2++qddee00DBgzQtGnTdN9996lFixbq2LGjvv76a40ZM8blQTjjzJkzys/PV1BQkEN7UFCQDh48WOw2qampxfZPTU011xe2ldSnOLNnz1Z8fHyR9i1btsjPz+/Kxfx/CQkJTve1KnefA+qnfndG/e5dv8QcuFJ/dna2y/t3OeSlpqaqQ4cOkqSaNWsqIyNDknTbbbdp8uTJLg+gKpo0aZLDK4SZmZlq3Lix+vTpI39//ytub7fblZCQoN69e8vLy6s8h1ppufscUD/1Uz/1u2v9EnNQmvoLrxq6wuWQd9111+nUqVNq0qSJWrRooS1btqhr167auXOnfHx8XB6As+rVqydPT0+lpaU5tKelpSk4OLjYbYKDgy/bv/DPtLQ0NWzY0KFP586dSxyLj49PsbV6eXm59Mvqan8rcvc5oH7qp37qd2fuPgeu1F+aeXL5xos777xTW7dulSQ98cQTmjx5slq1aqVhw4bpr3/9q8sDcJa3t7e6detm/mxJKigo0NatWxUREVHsNhEREQ79pd9fGi3sHxoaquDgYIc+mZmZSk5OLnGfAAAAVYHLr+S98MIL5vdDhgxRkyZNlJSUpFatWun2228v08H9UVxcnIYPH67u3bsrLCxMCxcuVFZWlmJiYiRJw4YNU6NGjTR79mxJ0t/+9jf17NlTL730kgYMGKC1a9fqm2++0bJlyyRJNptNTz75pGbOnKlWrVopNDRUkydPVkhICA99BgAAVZrLIe+PIiIirtmrXkOGDNEvv/yiKVOmKDU1VZ07d9amTZvMGydOnDghD4//e3GyR48eWrNmjZ577jk988wzatWqlTZs2KD27dubfSZMmKCsrCyNHj1a6enpuvHGG7Vp0yb5+vpek5oAAADKQ6lC3uHDh7Vt2zadPn1aBQUFDuvK8zEqkhQbG6vY2Nhi1yUmJhZpGzx4sAYPHlzi/mw2m6ZPn67p06eX1RABAAAqnMsh77XXXtOjjz6qevXqKTg4WDabzVxns9nKPeQBAADgylwOeTNnztTzzz+vp59+ujzGAwAAgDLg8t21v/7662UvfwIAAKDiuRzyBg8erC1btpTHWAAAAFBGXL5c27JlS02ePFlff/21OnToUOThfOX1sWYAAABwnsshb9myZapZs6Y+++wzffbZZw7rbDYbIQ8AAKAScDnkpaSklMc4AAAAUIZcfk8eAAAAKj+nXsmLi4vTjBkzVKNGDcXFxV227/z588tkYAAAACg9p0Lenj17ZLfbze9LcumDkQEAAFBxnAp527ZtK/Z7AAAAVE68Jw8AAMCCXL679s477yz2sqzNZpOvr69atmyp+++/X61bty6TAQIAAMB1Lr+SV7t2bX366afavXu3bDabbDab9uzZo08//VR5eXlat26dOnXqpK+++qo8xgsAAAAnuPxKXnBwsO6//3698sor8vD4PSMWFBTob3/7m2rVqqW1a9fqkUce0dNPP60vv/yyzAcMAACAK3P5lbzly5frySefNAOeJHl4eOiJJ57QsmXLZLPZFBsbq3379pXpQAEAAOA8l0NeXl6eDh48WKT94MGDys/PlyT5+vryOBUAAIAK5PLl2gcffFAjR47UM888oz//+c+SpJ07d2rWrFkaNmyYJOmzzz7T9ddfX7YjBQAAgNNcDnkLFixQUFCQ5s6dq7S0NElSUFCQxo4dq6efflqS1KdPH0VFRZXtSAEAAOA0l0Oep6ennn32WT377LPKzMyUJPn7+zv0adKkSdmMDgAAAKXicsi71B/DHQAAACqHUoW8d955R2+//bZOnDih3Nxch3W7d+8uk4EBAACg9Fy+u/bll19WTEyMgoKCtGfPHoWFhalu3bo6duyY+vXrVx5jBAAAgItcDnl///vftWzZMi1evFje3t6aMGGCEhISNGbMGGVkZJTHGAEAAOAil0PeiRMn1KNHD0lS9erVdf78eUm/P1rlrbfeKtvRAQAAoFRcDnnBwcE6d+6cpN/vov36668lSSkpKTIMo2xHBwAAgFJxOeTdeuut+uCDDyRJMTExGjt2rHr37q0hQ4bozjvvLPMBAgAAwHUu3127bNkyFRQUSJIef/xx1a1bV9u3b9cdd9yhhx9+uMwHCAAAANe5HPI8PDzk4fF/LwBGR0crOjq6TAcFAACAq1Oq5+RdvHhR3377rU6fPm2+qlfojjvuKJOBAQAAoPRcDnmbNm3SsGHDdObMmSLrbDab8vPzy2RgAAAAKD2Xb7x44oknNHjwYJ06dUoFBQUOXwQ8AACAysHlkJeWlqa4uDgFBQWVx3gAAABQBlwOeffcc48SExPLYSgAAAAoKy6/J++VV17R4MGD9cUXX6hDhw7y8vJyWD9mzJgyGxwAAABKx+WQ99Zbb2nLli3y9fVVYmKibDabuc5msxHyAAAAKgGXQ96zzz6r+Ph4TZw40eF5eQAAAKg8XE5pubm5GjJkCAEPAACgEnM5qQ0fPlzr1q0rj7EAAACgjLh8uTY/P19z587V5s2b1bFjxyI3XsyfP7/MBgcAAIDScTnkfffdd+rSpYskad++fQ7rLr0JAwAAABXH5ZC3bdu28hgHAAAAyhB3TwAAAFiQ06/k3XXXXU71e/fdd0s9GAAAAJQNp0Ne7dq1y3McAAAAKENOh7yVK1eW5zgAAABQhnhPHgAAgAUR8gAAACyIkAcAAGBBhDwAAAALIuQBAABYECEPAADAggh5AAAAFkTIAwAAsKAqE/LOnTunoUOHyt/fXwEBARo5cqQuXLhw2f5PPPGEWrdurerVq6tJkyYaM2aMMjIyHPrZbLYiX2vXri3vcgAAAMqV0594UdGGDh2qU6dOKSEhQXa7XTExMRo9erTWrFlTbP+TJ0/q5MmTmjdvntq1a6cffvhBjzzyiE6ePKl33nnHoe/KlSsVFRVlLgcEBJRnKQAAAOWuSoS8AwcOaNOmTdq5c6e6d+8uSVq8eLH69++vefPmKSQkpMg27du317/+9S9zuUWLFnr++ef1wAMPKC8vT9Wq/V/pAQEBCg4Odno8OTk5ysnJMZczMzMlSXa7XXa7/YrbF/Zxpq9VufscUD/1X/qnu6F+965fYg5KU39p5spmGIbh8lbX2IoVKzRu3Dj9+uuvZlteXp58fX21fv163XnnnU7t5/XXX9ekSZP0yy+/mG02m00hISHKyclR8+bN9cgjjygmJkY2m63E/UybNk3x8fFF2tesWSM/Pz8XKgMAALiy7Oxs3X///crIyJC/v79T21SJV/JSU1PVoEEDh7Zq1aopMDBQqampTu3jzJkzmjFjhkaPHu3QPn36dN16663y8/PTli1b9Nhjj+nChQsaM2ZMifuaNGmS4uLizOXMzEw1btxYffr0cWri7Xa7EhIS1Lt3b3l5eTk1fqtx9zmgfuqnfup31/ol5qA09RdeNXRFhYa8iRMnas6cOZftc+DAgav+OZmZmRowYIDatWunadOmOaybPHmy+X2XLl2UlZWlF1988bIhz8fHRz4+PkXavby8XPpldbW/Fbn7HFA/9VM/9bszd58DV+ovzTxVaMgbN26cRowYcdk+zZs3V3BwsE6fPu3QnpeXp3Pnzl3xvXTnz59XVFSUatWqpffee++KkxQeHq4ZM2YoJyen2CAHAABQFVRoyKtfv77q169/xX4RERFKT0/Xrl271K1bN0nSp59+qoKCAoWHh5e4XWZmpvr27SsfHx998MEH8vX1veLP2rt3r+rUqUPAAwAAVVqVeE9e27ZtFRUVpVGjRmnp0qWy2+2KjY1VdHS0eWftzz//rF69eumNN95QWFiYMjMz1adPH2VnZ+uf//ynMjMzzevZ9evXl6enpz788EOlpaXphhtukK+vrxISEjRr1iw99dRTFVkuAADAVasSIU+S3nzzTcXGxqpXr17y8PDQ3XffrZdfftlcb7fbdejQIWVnZ0uSdu/ereTkZElSy5YtHfaVkpKiZs2aycvLS0uWLNHYsWNlGIZatmyp+fPna9SoUdeuMAAAgHJQZUJeYGBgiQ8+lqRmzZrp0qfB3HzzzbrS02GioqIcHoIMAABgFVXmY80AAADgPEIeAACABRHyAAAALIiQBwAAYEGEPAAAAAsi5AEAAFgQIQ8AAMCCCHkAAAAWRMgDAACwIEIeAACABRHyAAAALIiQBwAAYEGEPAAAAAsi5AEAAFgQIQ8AAMCCCHkAAAAWRMgDAACwIEIeAACABRHyAAAALIiQBwAAYEGEPAAAAAsi5AEAAFgQIQ8AAMCCCHkAAAAWRMgDAACwIEIeAACABRHyAAAALIiQBwAAYEGEPAAAAAsi5AEAAFgQIQ8AAMCCCHkAAAAWRMgDAACwIEIeAACABRHyAAAALIiQBwAAYEGEPAAAAAsi5AEAAFgQIQ8AAMCCCHkAAAAWRMgDAACwIEIeAACABRHyAAAALIiQBwAAYEGEPAAAAAsi5AEAAFgQIQ8AAMCCCHkAAAAWRMgDAACwIEIeAACABRHyAAAALIiQBwAAYEGEPAAAAAuqMiHv3LlzGjp0qPz9/RUQEKCRI0fqwoULl93m5ptvls1mc/h65JFHHPqcOHFCAwYMkJ+fnxo0aKDx48crLy+vPEsBAAAod9UqegDOGjp0qE6dOqWEhATZ7XbFxMRo9OjRWrNmzWW3GzVqlKZPn24u+/n5md/n5+drwIABCg4O1vbt23Xq1CkNGzZMXl5emjVrVrnVAgAAUN6qRMg7cOCANm3apJ07d6p79+6SpMWLF6t///6aN2+eQkJCStzWz89PwcHBxa7bsmWLvv/+e33yyScKCgpS586dNWPGDD399NOaNm2avL29y6UeAACA8lYlQl5SUpICAgLMgCdJkZGR8vDwUHJysu68884St33zzTf1z3/+U8HBwbr99ts1efJk89W8pKQkdejQQUFBQWb/vn376tFHH9X+/fvVpUuXYveZk5OjnJwcczkzM1OSZLfbZbfbr1hPYR9n+lqVu88B9VP/pX+6G+p37/ol5qA09ZdmrqpEyEtNTVWDBg0c2qpVq6bAwEClpqaWuN3999+vpk2bKiQkRN9++62efvppHTp0SO+++66530sDniRz+XL7nT17tuLj44u0b9myxeFy8JUkJCQ43deq3H0OqJ/63Rn1u3f9EnPgSv3Z2dku779CQ97EiRM1Z86cy/Y5cOBAqfc/evRo8/sOHTqoYcOG6tWrl44ePaoWLVqUer+TJk1SXFycuZyZmanGjRurT58+8vf3v+L2drtdCQkJ6t27t7y8vEo9jqrM3eeA+qmf+qnfXeuXmIPS1F941dAVFRryxo0bpxEjRly2T/PmzRUcHKzTp087tOfl5encuXMlvt+uOOHh4ZKkI0eOqEWLFgoODtaOHTsc+qSlpUnSZffr4+MjHx+fIu1eXl4u/bK62t+K3H0OqJ/6qZ/63Zm7z4Er9Zdmnio05NWvX1/169e/Yr+IiAilp6dr165d6tatmyTp008/VUFBgRncnLF3715JUsOGDc39Pv/88zp9+rR5OTghIUH+/v5q166di9UAAABUHlXiOXlt27ZVVFSURo0apR07duirr75SbGysoqOjzTtrf/75Z7Vp08Z8Ze7o0aOaMWOGdu3apePHj+uDDz7QsGHDdNNNN6ljx46SpD59+qhdu3Z68MEH9Z///EebN2/Wc889p8cff7zYV+oAAACqiioR8qTf75Jt06aNevXqpf79++vGG2/UsmXLzPV2u12HDh0y35jo7e2tTz75RH369FGbNm00btw43X333frwww/NbTw9PfXRRx/J09NTEREReuCBBzRs2DCH5+oBAABURVXi7lpJCgwMvOyDj5s1aybDMMzlxo0b67PPPrvifps2baqNGzeWyRgBAAAqiyrzSh4AAACcR8gDAACwIEIeAACABRHyAAAALIiQBwAAYEGEPAAAAAsi5AEAAFgQIQ8AAMCCCHkAAAAWRMgDAACwIEIeAACABRHyAAAALIiQBwAAYEGEPAAAAAsi5AEAAFgQIQ8AAMCCCHkAAAAWRMgDAACwIEIeAACABRHyAAAALIiQBwAAYEGEPAAAAAsi5AEAAFgQIQ8AAMCCCHkAAAAWRMgDAACwIEIeAACABRHyAAAALIiQBwAAYEGEPAAAAAsi5AEAAFgQIQ8AAMCCCHkAAAAWRMgDAACwIEIeAACABRHyAAAALIiQhyrj888/1+23366QkBDZbDZt2LDBYf27776rPn36qG7durLZbNq7d2+FjBMAIC1ZskTNmjWTr6+vwsPDtWPHDnPd66+/rmeffdY8X6enp1fcQC2MkIcqIysrS506ddKSJUtKXH/jjTdqzpw513hkAIBLrVu3TnFxcZo6dap2796tTp06qW/fvjp9+rQkKTs7W127dtXTTz9dwSO1tmoVPQDAWf369VO/fv1KXP/ggw9Kko4fP36NRgQAKM78+fM1atQoxcTESJKWLl2qjz/+WCtWrNDEiRM1ZswYbdy4UTVq1KjgkVobr+QBAIAyk5ubq127dikyMtJs8/DwUGRkpJKSkipwZO6HkAcAAMrMmTNnlJ+fr6CgIIf2oKAgpaamVtCo3BOXa1Gp5RcY2pFyTqfPX1SDWr4KCw2Up4etoocFALjEpedqW/avFT0c/H+EPFRam/adUvyH3+tUxkWzrWFtX029vV0FjgoAcKk/nquNfLvk4aF/7zigiIgIs19aWpqCg4Mraphuicu1qJQ27TulR/+52yHgSVJqxkU9+s/dFTQqAMClijtX2zy95B3UUgvfeE+b9p2SJBUUFGjr1q0OoQ/lj1fyUOnkFxiK//B7GX9oL8j9TXm/njKXjx47pr179yowMFBNmjTRuXPndOLECZ08eVKSdOjQIUlScHAw/3sEgDJW0rlakvz/PEhnPl6g2PiF2jBtuBa/vEhZWVnm3bapqak6duyY/Pz8JEnfffedatWqpSZNmigwMPAaVmFthDxUOjtSzhV5BU+SclMPK+2tZ8zlp8aNkyQNHz5cq1at0gcffGCeQCQpOjpakjR16lRNmzatfAcNAG6mpHO1JNVoe5PyszN0fMtKdX1/obp06axNmzaZN2MsW7ZMM2fONPvfdNNNkqSVK1dqxIgR5T52d0HIQ6Vz+nzxJw3fJh3V9OmPzOVF0Z01sHMjc3nEiBGcHADgGinpXF3Iv9vt8u92e5FztSRNmTJF3bt3V//+/eXl5VWew3RrvCcPlU6DWr5l2g8AUPY4V1d+hDxUOmGhgWpY21clPSjFpt/vsg0L5X0bAFBROFdXfoQ8VDqeHjbzMSl/PHkULk+9vR3PywOACsS5uvIj5KFSimrfUK8+0FXBtR1f5g+u7atXH+iqqPYNK2hkAIBCnKsrN268QKUV1b6hercL5hMvAKAS41xdeRHyUKl5etgU0aJuRQ8DAHAZnKsrpypzufbcuXMaOnSo/P39FRAQoJEjR+rChQsl9j9+/LhsNluxX+vXrzf7Fbd+7dq116IkAACAclNlXskbOnSoTp06pYSEBNntdsXExGj06NFas2ZNsf0bN26sU6dOObQtW7ZML774ovr16+fQvnLlSkVFRZnLAQEBZT5+AACAa6lKhLwDBw5o06ZN2rlzp7p37y5JWrx4sfr376958+YpJCSkyDaenp5FPsrqvffe07333quaNWs6tAcEBPCxVwAAwFKqRMhLSkpSQECAGfAkKTIyUh4eHkpOTtadd955xX3s2rVLe/fu1ZIlS4qse/zxx/XQQw+pefPmeuSRRxQTEyObreQ3jObk5CgnJ8dczszMlCTZ7XbZ7fYrjqWwjzN9rcrd54D6qf/SP90N9bt3/RJzUJr6SzNXVSLkpaamqkGDBg5t1apVU2BgoFJTU53ax/Lly9W2bVv16NHDoX369Om69dZb5efnpy1btuixxx7ThQsXNGbMmBL3NXv2bMXHxxdp37Jli/lhy85ISEhwuq9VufscUD/1uzPqd+/6JebAlfqzs7Nd3n+FhryJEydqzpw5l+1z4MCBq/45v/32m9asWaPJkycXWXdpW5cuXZSVlaUXX3zxsiFv0qRJiouLM5czMzPVuHFj9enTR/7+/lccj91uV0JCgnr37u22n9nn7nNA/dRP/dTvrvVLzEFp6i+8auiKCg1548aNu+IHyjdv3lzBwcE6ffq0Q3teXp7OnTvn1Hvp3nnnHWVnZ2vYsGFX7BseHq4ZM2YoJydHPj4+xfbx8fEpdp2Xl5dLv6yu9rcid58D6qd+6qd+d+buc+BK/aWZpwoNefXr11f9+vWv2C8iIkLp6enatWuXunXrJkn69NNPVVBQoPDw8Ctuv3z5ct1xxx1O/ay9e/eqTp06JQY8AACAqqBKvCevbdu2ioqK0qhRo7R06VLZ7XbFxsYqOjravLP2559/Vq9evfTGG28oLCzM3PbIkSP6/PPPtXHjxiL7/fDDD5WWlqYbbrhBvr6+SkhI0KxZs/TUU09ds9oAAADKQ5UIeZL05ptvKjY2Vr169ZKHh4fuvvtuvfzyy+Z6u92uQ4cOFXlj4ooVK3TdddepT58+Rfbp5eWlJUuWaOzYsTIMQy1bttT8+fM1atSocq8HAACgPFWZkBcYGFjig48lqVmzZjIMo0j7rFmzNGvWrGK3iYqKcngIMgAAgFVUmY81AwAAgPMIeQAAABZEyAMAALAgQh4AAIAFEfIAAAAsiJAHAABgQYQ8AAAACyLkAQAAWBAhDwAAwIIIeQAAABZEyAMAALAgQh4AAIAFEfIAAAAsiJAHAABgQYQ8AAAACyLkAQAAWBAhDwAAwIIIeQAAABZEyAMAALAgQh4AAIAFEfIAAAAsiJAHAABgQYQ8AAAACyLkAQAAWBAhDwAAwIIIeQAAABZEyAMAALAgQh4AAIAFEfIAAAAsiJAHAABgQYQ8AAAACyLkAQAAWBAhDwAAwIIIeQAAABZEyAMAALAgQh4AAIAFEfIAAAAsiJAHAABgQYQ8AAAACyLkAQAAWBAhDwAAwIIIeQAAABZEyAMAALAgQh4AAIAFEfIAAAAsiJAHAABgQYQ8AAAACyLkAQAAWBAhDwAAwIIIeQAAABZEyAMAALAgQh4AAIAFEfIAAAAsqMqEvOeff149evSQn5+fAgICnNrGMAxNmTJFDRs2VPXq1RUZGanDhw879Dl37pyGDh0qf39/BQQEaOTIkbpw4UI5VAAAAHDtVJmQl5ubq8GDB+vRRx91epu5c+fq5Zdf1tKlS5WcnKwaNWqob9++unjxotln6NCh2r9/vxISEvTRRx/p888/1+jRo8ujBAAAgGumWkUPwFnx8fGSpFWrVjnV3zAMLVy4UM8995wGDhwoSXrjjTcUFBSkDRs2KDo6WgcOHNCmTZu0c+dOde/eXZK0ePFi9e/fX/PmzVNISEi51AIAAFDeqkzIc1VKSopSU1MVGRlpttWuXVvh4eFKSkpSdHS0kpKSFBAQYAY8SYqMjJSHh4eSk5N15513FrvvnJwc5eTkmMuZmZmSJLvdLrvdfsWxFfZxpq9VufscUD/1X/qnu6F+965fYg5KU39p5sqyIS81NVWSFBQU5NAeFBRkrktNTVWDBg0c1lerVk2BgYFmn+LMnj3bfGXxUlu2bJGfn5/TY0xISHC6r1W5+xxQP/W7M+p37/ol5sCV+rOzs13ef4WGvIkTJ2rOnDmX7XPgwAG1adPmGo3IOZMmTVJcXJy5nJmZqcaNG6tPnz7y9/e/4vZ2u10JCQnq3bu3vLy8ynOolZa7zwH1Uz/1U7+71i8xB6Wpv/CqoSsqNOSNGzdOI0aMuGyf5s2bl2rfwcHBkqS0tDQ1bNjQbE9LS1Pnzp3NPqdPn3bYLi8vT+fOnTO3L46Pj498fHyKtHt5ebn0y+pqfyty9zmgfuqnfup3Z+4+B67UX5p5qtCQV79+fdWvX79c9h0aGqrg4GBt3brVDHWZmZlKTk4279CNiIhQenq6du3apW7dukmSPv30UxUUFCg8PLxcxgUAAHAtVJlHqJw4cUJ79+7ViRMnlJ+fr71792rv3r0Oz7Rr06aN3nvvPUmSzWbTk08+qZkzZ+qDDz7Qd999p2HDhikkJESDBg2SJLVt21ZRUVEaNWqUduzYoa+++kqxsbGKjo7mzloAAFClVZkbL6ZMmaLVq1eby126dJEkbdu2TTfffLMk6dChQ8rIyDD7TJgwQVlZWRo9erTS09N14403atOmTfL19TX7vPnmm4qNjVWvXr3k4eGhu+++Wy+//PK1KQoAAKCcVJmQt2rVqis+I88wDIdlm82m6dOna/r06SVuExgYqDVr1pTFEAEAACqNKnO5FgAAAM4j5AEAAFgQIQ8AAMCCCHkAAAAWRMgDAACwoCpzd21lVnhXr7MfOWK325Wdna3MzEy3fdK3u88B9VM/9VO/u9YvMQelqb8wY/zxSSKXQ8grA+fPn5ckNW7cuIJHAgAArOz8+fOqXbu2U31thiuREMUqKCjQyZMnVatWLdlstiv2z8zMVOPGjfXjjz/K39//Goyw8nH3OaB+6qd+6nfX+iXmoDT1G4ah8+fPKyQkRB4ezr3bjlfyyoCHh4euu+46l7fz9/d3y1/uS7n7HFA/9VM/9bszd58DV+t39hW8Qtx4AQAAYEGEPAAAAAsi5FUAHx8fTZ06VT4+PhU9lArj7nNA/dRP/dTvrvVLzMG1qp8bLwAAACyIV/IAAAAsiJAHAABgQYQ8AAAACyLkAQAAWBAhr5w8//zz6tGjh/z8/BQQEODUNoZhaMqUKWrYsKGqV6+uyMhIHT582KHPuXPnNHToUPn7+ysgIEAjR47UhQsXyqGCq+PqOI8fPy6bzVbs1/r1681+xa1fu3bttSjJJaU5TjfffHOR2h555BGHPidOnNCAAQPk5+enBg0aaPz48crLyyvPUkrF1frPnTunJ554Qq1bt1b16tXVpEkTjRkzRhkZGQ79KvPxX7JkiZo1ayZfX1+Fh4drx44dl+2/fv16tWnTRr6+vurQoYM2btzosN6Z80Fl4kr9r732mv7nf/5HderUUZ06dRQZGVmk/4gRI4oc66ioqPIuo9RcqX/VqlVFavP19XXoY+XjX9y5zmazacCAAWafqnT8P//8c91+++0KCQmRzWbThg0brrhNYmKiunbtKh8fH7Vs2VKrVq0q0sfVc0qxDJSLKVOmGPPnzzfi4uKM2rVrO7XNCy+8YNSuXdvYsGGD8Z///Me44447jNDQUOO3334z+0RFRRmdOnUyvv76a+OLL74wWrZsadx3333lVEXpuTrOvLw849SpUw5f8fHxRs2aNY3z58+b/SQZK1eudOh36fxUFqU5Tj179jRGjRrlUFtGRoa5Pi8vz2jfvr0RGRlp7Nmzx9i4caNRr149Y9KkSeVdjstcrf+7774z7rrrLuODDz4wjhw5YmzdutVo1aqVcffddzv0q6zHf+3atYa3t7exYsUKY//+/caoUaOMgIAAIy0trdj+X331leHp6WnMnTvX+P77743nnnvO8PLyMr777juzjzPng8rC1frvv/9+Y8mSJcaePXuMAwcOGCNGjDBq165t/PTTT2af4cOHG1FRUQ7H+ty5c9eqJJe4Wv/KlSsNf39/h9pSU1Md+lj5+J89e9ah9n379hmenp7GypUrzT5V6fhv3LjRePbZZ413333XkGS89957l+1/7Ngxw8/Pz4iLizO+//57Y/HixYanp6exadMms4+rc1oSQl45W7lypVMhr6CgwAgODjZefPFFsy09Pd3w8fEx3nrrLcMwDOP77783JBk7d+40+/z73/82bDab8fPPP5f52EurrMbZuXNn469//atDmzN/gSpaaevv2bOn8be//a3E9Rs3bjQ8PDwc/jF49dVXDX9/fyMnJ6dMxl4Wyur4v/3224a3t7dht9vNtsp6/MPCwozHH3/cXM7PzzdCQkKM2bNnF9v/3nvvNQYMGODQFh4ebjz88MOGYTh3PqhMXK3/j/Ly8oxatWoZq1evNtuGDx9uDBw4sKyHWi5crf9K/y642/FfsGCBUatWLePChQtmW1U6/pdy5hw1YcIE4/rrr3doGzJkiNG3b19z+WrntBCXayuJlJQUpaamKjIy0myrXbu2wsPDlZSUJElKSkpSQECAunfvbvaJjIyUh4eHkpOTr/mYS1IW49y1a5f27t2rkSNHFln3+OOPq169egoLC9OKFStkVLJHPV5N/W+++abq1aun9u3ba9KkScrOznbYb4cOHRQUFGS29e3bV5mZmdq/f3/ZF1JKZfV7mpGRIX9/f1Wr5vgR25Xt+Ofm5mrXrl0Of3c9PDwUGRlp/t39o6SkJIf+0u/HsrC/M+eDyqI09f9Rdna27Ha7AgMDHdoTExPVoEEDtW7dWo8++qjOnj1bpmMvC6Wt/8KFC2ratKkaN26sgQMHOvwddrfjv3z5ckVHR6tGjRoO7VXh+JfGlf7+l8WcFqp25S64FlJTUyXJ4R/wwuXCdampqWrQoIHD+mrVqikwMNDsUxmUxTiXL1+utm3bqkePHg7t06dP16233io/Pz9t2bJFjz32mC5cuKAxY8aU2fivVmnrv//++9W0aVOFhITo22+/1dNPP61Dhw7p3XffNfdb3O9H4brKoiyO/5kzZzRjxgyNHj3aob0yHv8zZ84oPz+/2GNz8ODBYrcp6Vhe+ne9sK2kPpVFaer/o6efflohISEO/6hFRUXprrvuUmhoqI4ePapnnnlG/fr1U1JSkjw9Pcu0hqtRmvpbt26tFStWqGPHjsrIyNC8efPUo0cP7d+/X9ddd51bHf8dO3Zo3759Wr58uUN7VTn+pVHS3//MzEz99ttv+vXXX6/671QhQp4LJk6cqDlz5ly2z4EDB9SmTZtrNKJry9n6r9Zvv/2mNWvWaPLkyUXWXdrWpUsXZWVl6cUXX7wm/8iXd/2XBpoOHTqoYcOG6tWrl44ePaoWLVqUer9l5Vod/8zMTA0YMEDt2rXTtGnTHNZV5PFH+XjhhRe0du1aJSYmOtx8EB0dbX7foUMHdezYUS1atFBiYqJ69epVEUMtMxEREYqIiDCXe/ToobZt2+of//iHZsyYUYEju/aWL1+uDh06KCwszKHdysf/WiLkuWDcuHEaMWLEZfs0b968VPsODg6WJKWlpalhw4Zme1pamjp37mz2OX36tMN2eXl5OnfunLl9eXK2/qsd5zvvvKPs7GwNGzbsin3Dw8M1Y8YM5eTklPtnAF6r+guFh4dLko4cOaIWLVooODi4yN1VaWlpkmSZ43/+/HlFRUWpVq1aeu+99+Tl5XXZ/tfy+JekXr168vT0NI9FobS0tBLrDQ4Ovmx/Z84HlUVp6i80b948vfDCC/rkk0/UsWPHy/Zt3ry56tWrpyNHjlSqf+Svpv5CXl5e6tKli44cOSLJfY5/VlaW1q5dq+nTp1/x51TW418aJf399/f3V/Xq1eXp6XnVv1Mml97BB5e5euPFvHnzzLaMjIxib7z45ptvzD6bN2+utDdelHacPXv2LHJXZUlmzpxp1KlTp9RjLQ9ldZy+/PJLQ5Lxn//8xzCM/7vx4tK7q/7xj38Y/v7+xsWLF8uugKtU2vozMjKMG264wejZs6eRlZXl1M+qLMc/LCzMiI2NNZfz8/ONRo0aXfbGi9tuu82hLSIiosiNF5c7H1QmrtZvGIYxZ84cw9/f30hKSnLqZ/z444+GzWYz3n///aseb1krTf2XysvLM1q3bm2MHTvWMAz3OP6G8fu/jz4+PsaZM2eu+DMq8/G/lJy88aJ9+/YObffdd1+RGy+u5nfKHI9LveG0H374wdizZ4/5GJA9e/YYe/bscXgcSOvWrY13333XXH7hhReMgIAA4/333ze+/fZbY+DAgcU+QqVLly5GcnKy8eWXXxqtWrWqtI9Qudw4f/rpJ6N169ZGcnKyw3aHDx82bDab8e9//7vIPj/44APjtddeM7777jvj8OHDxt///nfDz8/PmDJlSrnX4ypX6z9y5Igxffp045tvvjFSUlKM999/32jevLlx0003mdsUPkKlT58+xt69e41NmzYZ9evXr7SPUHGl/oyMDCM8PNzo0KGDceTIEYfHJuTl5RmGUbmP/9q1aw0fHx9j1apVxvfff2+MHj3aCAgIMO+EfvDBB42JEyea/b/66iujWrVqxrx584wDBw4YU6dOLfYRKlc6H1QWrtb/wgsvGN7e3sY777zjcKwLz4/nz583nnrqKSMpKclISUkxPvnkE6Nr165Gq1atKtV/aAq5Wn98fLyxefNm4+jRo8auXbuM6Ohow9fX19i/f7/Zx8rHv9CNN95oDBkypEh7VTv+58+fN/+Nl2TMnz/f2LNnj/HDDz8YhmEYEydONB588EGzf+EjVMaPH28cOHDAWLJkSbGPULncnDqLkFdOhg8fbkgq8rVt2zazj/7/M78KFRQUGJMnTzaCgoIMHx8fo1evXsahQ4cc9nv27FnjvvvuM2rWrGn4+/sbMTExDsGxsrjSOFNSUorMh2EYxqRJk4zGjRsb+fn5Rfb573//2+jcubNRs2ZNo0aNGkanTp2MpUuXFtu3orla/4kTJ4ybbrrJCAwMNHx8fIyWLVsa48ePd3hOnmEYxvHjx41+/foZ1atXN+rVq2eMGzfO4REjlYWr9W/btq3Yvy+SjJSUFMMwKv/xX7x4sdGkSRPD29vbCAsLM77++mtzXc+ePY3hw4c79H/77beNP/3pT4a3t7dx/fXXGx9//LHDemfOB5WJK/U3bdq02GM9depUwzAMIzs72+jTp49Rv359w8vLy2jatKkxatQol/+Bu5Zcqf/JJ580+wYFBRn9+/c3du/e7bA/Kx9/wzCMgwcPGpKMLVu2FNlXVTv+JZ2/CmsePny40bNnzyLbdO7c2fD29jaaN2/ukAUKXW5OnWUzjEr2/AkAAABcNZ6TBwAAYEGEPAAAAAsi5AEAAFgQIQ8AAMCCCHkAAAAWRMgDAACwIEIeAACABRHyAAAALIiQBwDXwIgRIzRo0KCKHgYAN0LIA+DWRowYIZvNJpvNJi8vL4WGhmrChAm6ePHiNR1HYmKiOQ6bzaagoCDdfffdOnbsWJnsNz09vWwGCqDKIOQBcHtRUVE6deqUjh07pgULFugf//iHpk6dWiFjOXTokE6ePKn169dr//79uv3225Wfn1+qfdnt9jIeHYCqhJAHwO35+PgoODhYjRs31qBBgxQZGamEhARzfUFBgWbPnq3Q0FBVr15dnTp10jvvvGOuz8/P18iRI831rVu31qJFi0o1lgYNGqhhw4a66aabNGXKFH3//fc6cuSIdu7cqd69e6tevXqqXbu2evbsqd27dztsa7PZ9Oqrr+qOO+5QjRo1NGrUKN1yyy2SpDp16shms2nEiBGlGheAqqdaRQ8AACqTffv2afv27WratKnZNnv2bP3zn//U0qVL1apVK33++ed64IEHVL9+ffXs2VMFBQW67rrrtH79etWtW1fbt2/X6NGj1bBhQ917772lHkv16tUlSbm5uTp//ryGDx+uxYsXyzAMvfTSS+rfv78OHz6sWrVqmdtMmzZNL7zwghYuXChPT0/dcccduvvuu3Xo0CH5+/ub+wRgfYQ8AG7vo48+Us2aNZWXl6ecnBx5eHjolVdekSTl5ORo1qxZ+uSTTxQRESFJat68ub788kv94x//UM+ePeXl5aX4+Hhzf6GhoUpKStLbb79d6pB36tQpzZs3T40aNVLr1q3VoUMHh/XLli1TQECAPvvsM912221m+/3336+YmBhzOSUlRdLvrxAGBASUaiwAqiZCHgC3d8stt+jVV19VVlaWFixYoGrVqunuu++WJB05ckTZ2dnq3bu3wza5ubnq0qWLubxkyRKtWLFCJ06c0G+//abc3Fx17tzZ5bFcd911MgxD2dnZ6tSpk/71r3/J29tbaWlpeu6555SYmKjTp08rPz9f2dnZOnHihMP23bt3d30CAFgSIQ+A26tRo4ZatmwpSVqxYoU6deqk5cuXa+TIkbpw4YIk6eOPP1ajRo0ctvPx8ZEkrV27Vk899ZReeuklRUREqFatWnrxxReVnJzs8li++OIL+fv7q0GDBg6XYYcPH66zZ89q0aJFatq0qXx8fBQREaHc3NwitQCARMgDAAceHh565plnFBcXp/vvv1/t2rWTj4+PTpw4oZ49exa7zVdffaUePXroscceM9uOHj1aqp8fGhpa7GXVr776Sn//+9/Vv39/SdKPP/6oM2fOXHF/3t7eklTqO3QBVF3cXQsAfzB48GB5enpqyZIlqlWrlp566imNHTtWq1ev1tGjR7V7924tXrxYq1evliS1atVK33zzjTZv3qz//ve/mjx5snbu3FmmY2rVqpX+93//VwcOHFBycrKGDh3q1E0UTZs2lc1m00cffaRffvnFfGUSgPUR8gDgD6pVq6bY2FjNnTtXWVlZmjFjhiZPnqzZs2erbdu2ioqK0scff6zQ0FBJ0sMPP6y77rpLQ4YMUXh4uM6ePevwql5ZWL58uX799Vd17dpVDz74oMaMGaMGDRpccbtGjRopPj5eEydOVFBQkGJjY8t0XAAqL5thGEZFDwIAAABli1fyAAAALIiQBwAAYEGEPAAAAAsi5AEAAFgQIQ8AAMCCCHkAAAAWRMgDAACwIEIeAACABRHyAAAALIiQBwAAYEGEPAAAAAv6f6gsaT2MUPELAAAAAElFTkSuQmCC",
      "text/plain": [
       "<Figure size 700x700 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# show QPSK constellation\n",
    "constellation = Constellation(\"qam\", num_bits_per_symbol=2)\n",
    "constellation.show();"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Assuming an AWGN channel and QPSK modulation all symbols behave equally due to the symmetry (all constellation points are located on a circle). However, for higher order modulation such as 16-QAM the situation changes and the LLRs after demapping are not equally distributed anymore."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-02-14T00:13:33.058747Z",
     "iopub.status.busy": "2026-02-14T00:13:33.058607Z",
     "iopub.status.idle": "2026-02-14T00:13:33.165806Z",
     "shell.execute_reply": "2026-02-14T00:13:33.165044Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 700x700 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# generate 16QAM with Gray labeling\n",
    "constellation = Constellation(\"qam\", num_bits_per_symbol=4)\n",
    "constellation.show();"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We can visualize this by applying *a posteriori propability* (APP) demapping and plotting of the corresponding LLR distributions for each of the *m* transmitted bits per symbol individually. \n",
    "As each bit could be either *0* or *1*, we flip the signs of the LLRs *after* demapping accordingly. Otherwise, we would observe two symmetric distributions per bit *b_i* for *b_i=0* and *b_i=1*, respectively.\n",
    "See [10] for a closed-form approximation and further details."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-02-14T00:13:33.167866Z",
     "iopub.status.busy": "2026-02-14T00:13:33.167718Z",
     "iopub.status.idle": "2026-02-14T00:13:33.654450Z",
     "shell.execute_reply": "2026-02-14T00:13:33.653524Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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jyJAhKqf/7bffuFEP7t+/z/XY0pTu3btz593FixdLdN4sQgj5ajBCCCHkK+Pr68sAMADMx8enSHnt2rWLy6uoX6vR0dESeQUEBChdZtu2bRLLBAUFFakM0iIjI5mbm5vEOqQfQ4YMYenp6RL7ddGiRSptozxJSUmsS5cuCtfLf0yePFlieR8fH5WXBcCio6MllndycpI4DqGhoczFxUXmsvzjxK8PiuqWdP537tyReE/WY8yYMSw7O1vh8ZLOVxllx0Odfejk5KRweel9LC08PFxpXQPAmjVrxp4/f64wr4CAgALl2rNnDzMxMZGbr4GBAdu/f7/SfaaOvn37MoFAoNL+a926NXv//r3MfKTbGWXHgX8uqvKQV1devnzJ2rVrp3T5SpUqsYsXLyrcF9LnRk5ODvvuu+9k5lfUdjk1NZX17t1bYZkbNGjAXr16pfI5K3bp0iVWvXp1pfvEy8uLRUVFKcxLus389OkT69y5s8J8V65cyS0vFArZtGnTFKbv0KEDy8rKUliOgwcPMnNzc5XqirW1NTt79qzS/SS9bR8/flRal5o3b85iY2MV5rto0SIuva+vL0tPT2eDBw9WmG+dOnXYw4cPFeYrq82Qhf/dsmvXLvbhwwfWvn17hev39vZmycnJSveZUChkM2bMUNhm2NrassuXL6v8XaquTp06cXlu27atSHkV5fdRXl4eq1y5Mrfs3r17i1SWonrw4IHEtkyZMqVQ+Rw/flwin3Xr1qm03LJly7hl+vXrx73/+PFj7n1zc3OWkZGhUn7886hx48aMMca+/fZb7r2jR4/KXTYyMpJL16xZM8aY5Pnev39/lcqgjvXr13P5//777xrNOzY2luno6DAATF9fnyUmJnKfeXl5cevdt2+fwnz4v8d1dHTknvMikYhZWVkxAKxGjRqMMcZCQkK4Zb///nu56/jrr7+4dAYGBjLb9g8fPjADA4NiPR58so79sGHDJNrfvLw8ucvz29TZs2ertE5+m7tjxw6NbAchhJD/0eysgIQQQggpUdJ31GlyGJjo6Gh06NAB7969494zNTWFm5sb9PX18eTJE3z+/BmHDx+GSCSCsbGxRtYrEonQq1cvBAUFce8ZGRmhTp06sLGxQW5uLhITE/HixQtuGBTpu+ebNm0KIyMjvHz5Eq9evQIAVK5cGR4eHjLXqajsL1++xOzZs7m7OWvUqAFHR0ckJyfj6dOnRdpWIP+O4e+++44bekScv3iybPb/dzLv2rULqampOHr0qMRcVcVJPIF2aGgokpKSAOSPe1+lSpUCaR0cHAq9nps3b6Jbt24Sd8xaWVmhbt26EIlEiIyM5D4LCQlB69atceXKFYm7tBXZt28ffH19AeTXJXd3d5iZmSEqKorrjZeTk4NRo0ahRo0aaNasWaG3he/hw4fc8dPV1UX16tVhb28PAwMDfPr0CU+ePOHu4r9x4wa8vb1x9+5d7g5vsSpVqnDH4u3bt3j8+DGA/H3UtGlTibQODg7w8PBAly5dlKYVk3WX9t27d9GtWzeuJwMAWFhYoG7dujAxMUFcXBxevHgBAHj37h169eqFI0eOSAxBo8h3332HjRs3AgDMzMxQr149GBkZITo6WqXl5cnOzkavXr0kesPp6upyvROjo6Px5s0bPHjwAJ07d8bMmTNVznv37t0YP368xFwjlStXhqurK3R0dPD8+XO8f/8eABAeHo6WLVvixo0bEvM4yJOXl4dvvvmGa/dcXV1RrVo1JCcn4+HDh1wb99NPP8HJyQlDhgzB5MmTsXXrVgD587XUqVMHIpEI9+/f5+6Cv3LlCmbOnKlwuJ5Xr15xQzABgL29PZydnWFubo6srCw8f/4ciYmJAPKHKevTpw9Onz6t8rwh4m0TT+hesWJF1KpVC5mZmXj06BF3B/zt27fRoUMHBAUFwc7OTqW8R48ejePHjwPIr8d169ZFXl4eIiIiuF4bT58+RceOHREUFISaNWuqlK8qMjIy0KlTJzx8+BBAfs9OJycnZGVl4f79+9y5HRwcjOHDh+P8+fMK85swYQJ27Ngh8V6tWrVQuXJlfPr0CREREUhMTESPHj1w+PBhjW2HWFZWlkSvhpKYh0aeiIgIxMfHc6/bt2+vtbIAwNmzZyVef/vtt4XKp1evXrCxseF+u509exbTp09Xupysni8A4ObmhoYNG+L+/ftIS0vDqVOnJHobqcPX1xc7d+4EkD8U3cCBA5WWRfy9Wtz4546m5yvau3cv175269ZNYr6rESNGIDw8HED+dvP3vTR+Lx+RSISgoCBufh2+R48ecb+nxOeYp6cnTE1NkZGRobBXEv8z8e9caX5+flzbAwDjxo2Tm19xWbJkCY4ePYq8vDxuHjN+T9Ci8vHx4XraXrp0qdDnIyGEEDm0Ha0ihBBCSlp56lnUvXt3Lr2+vr7SO8hVJRKJWJs2bbi8dXV12a+//srS09O5NDk5OWzbtm3MzMyMu+NZnL4oPYv4d94aGBiwtWvXyrxbNjs7m12+fJmNGTOGzZw5U2Ze0nehq4rfQ0d8x32nTp3YkydPJNJ9/vyZff78mXtdmJ5F4v3m6enJ7t69K5Hu1atXrGPHjhL7bMOGDSrlq4meRWLSd9Orip+3vJ5FSUlJrEqVKhL7e8eOHSwnJ4dLk5WVxdasWcMMDQ25dPXq1WNfvnyRmSe/l4CpqSkzMjJihoaGbPXq1QXq0oULF5ilpSWXvlWrVipvnzIeHh5s7Nix7OLFizLPzfT0dLZx40aJ9U+YMEFhnur0hFG314xYYmKixDGpXbs2O3v2bIG7g588eSJRPy0tLVlMTIzSsojPKTMzM7Zp06YCx/HVq1cql1Xa/PnzJerdwIED2du3byXSBAYGcr2D+O2Won0UFBTEdHV1ubRdu3YtcL4yxpifnx9zdXXl0jVp0oTl5ubKzJP/XWRtbc2A/B5Jd+7ckUj38uVLVr9+fS5t9erV2aFDhxgAZm9vz44fP86EQiGXPiUlRaK3jY6ODnv27JncbVu6dCnz9vZmW7duLbCvxG7cuMGaNWsm0W6lpqbKzZO/beJ9bGdnx06cOCFR1qSkJDZr1qwCx0wefpsuztfU1JRt3bpVos3IyMhgK1asYHp6ehK9IPjr5itMzyIbGxsG5Pcckq4Lnz9/ZoMGDZLYLn9/f7n5HjlyRCJty5Yt2ePHjyXSxMXFsYEDBxaot5r6S8/fB5aWlkXOryi/j/i9NKytrbn3//33X9a/f3/m5OTEDAwMmK2tLfPy8mI//fRTkdoNZfg9nW1sbIqUV79+/bi8zMzMFPa6YIyxmzdvcumtrKwK9DD+888/uc87deqkUhlk9SwSiURcD2o9PT328ePHAssJhULm6OjI/T4T//4pzp5F6enp3He/q6urRvNmjLFatWpxZZfuUfXhwweuDdHR0VHa87FSpUpcXnPmzJGZ5p9//pH5e0rcW0ZXV5elpaXJXNbOzo5bdt68eTLTTJgwQaLt5/9uLw7yjv24ceO4952dnSXaZ77C9Cz6999/uWXs7e01sh2EEEL+h4JFhBBCvjrlJVgUHBwsMVxNnz59irR+vmPHjkmUZf369XLT+vn5cUN4iB9FCRbxh0KZP3++SuWVd7FFE8EiAKxbt25yL/jyFSZYBIC5ubmxlJQUmWlzcnIkhm+ytLSUe5G2LAaL+BeK9fX12bVr1+TmJ10v+UNy8fEvegJgAoGA/fvvv3LzPXHihER6TV10VPUiTVhYGNPX12cAmJGRkcQwONJKIlg0atQobrkmTZooDArk5uaybt26cem//fZbpWURXxBTdKwLIy4uTmL4nUGDBjGRSCQzbWxsLKtYsaJEmeTto9zcXIkA0OTJk+Xmyxhj79+/5y6oAvKH0JIeLrBBgwZyLxK+fPmSqyPiC7VmZmYFAthiOTk5rGbNmlz6hQsXyi2vqvU0KyuLNW/eXKXvBeltMzU1Zffv35ebXjrId/36dZnp+G26+GKon5+f3Hy3b98ukV7esShMsEhcZ+QFrfPy8ljDhg25tCNHjpSbrmrVqlw6Ly8vucOJiUSiAkGoov72EFu9ejWXX4sWLYqcX1F+H02fPl3i+zEpKYn17du3wHbzH/r6+mzevHkKz83C4gfnOnfuXKS8+EPKAWAREREK00+cOJFLO378+AKfx8fHc4FsHR0dFhcXp7QMsoJFjDG2YMEC7v21a9cWWM7Pz4/7nD8cXnEGi06ePMnlLe/GoMK6desWl7eFhYXMmzr432/Lly9XmB8/SN+8eXOZacQBXwDs5cuX3Pv8YyJrWNeIiAiJenPp0iWZ+Tdu3JhLU69ePYXl1QR5x/7NmzcSN/hs3LhR5vKFCRbFxsZK7Is3b95oZFsIIYTkK5kxTAghhBCiMXl5edi3bx969uzJDXFlaGiIX3/9VWPr4A9Z1LJlS0ydOlVu2k6dOml0KJK4uDjuube3t0rL6Orqamz90gwMDLBt2zbo6RXf6L2bNm0qMPSYmL6+PrZt2wZ9fX0AQEpKSrEMQaQNmZmZ2LVrF/d62rRpCoc+GjBgAAYNGsS93rRpk0qTx48ZM0bh5Oh9+/aFk5MT9zo4OFhpnqowNTVVKZ2Xlxc3gfSXL19w6dIljay/MOLi4nDw4EEA+XX/0KFDCoe31NPTw9atW7n6efDgQaSkpChdz6RJkzQ+zNXu3bu54XcsLCywYcMGCAQCmWkdHR3x+++/q5TviRMnEBUVBQCoXbs21q1bJzdfIH8owD///JN7LR5uT5ktW7bAzMxM5mfVq1eXGIorJycH8+fPR506dWSm19fXx5gxY7jXiuq0qvXUyMgIy5Yt416fOXNGpeUAYO7cuWjQoIHczxctWoRatWpxrzdv3qxSvqNHj0anTp3kfj527Fi0a9dO7XxVoauri127dnGTrcv6fMaMGdxrecfg4sWLiI2NlSijiYmJzLQCgQDr16/X6JCzYpGRkdzz6tWrazx/dfCH2DUyMkK/fv1w6tQpAPntUpMmTdC2bVtUq1aNS5ebm4tly5ZpfEgqkUgkUR7+d0VhSC/PH+pTWnZ2No4cOcK9ljUMWqVKlbi2QSQSYd++fYUu26hRo7jne/fuLfA5/z1+2uLEH4KuZ8+eGs2bP6Re//79ZQ7rxt/n/PSy8L/T7ty5ww0Hyice6rFSpUoS51nr1q2557KGouO/p6enh5YtW8osQ0JCAvdc1pDBJaVq1aqYOHEi93rp0qX48uWLRvJ2dHSUaHf5bRchhJCio2ARIYQQUkrNmTMHXbt25R5dunRBixYtYG1tjVGjRnFjnhsbG+Pw4cNy5+NRV1paGjcWOABMmTJF6TLTpk3TyLoBSPxZF88FoU09evQo1j/cDRo0kLhIIEv16tXRtWtX7vXp06eLrTwl6dq1a0hOTgaQfxGUf2FVnlmzZnHPX79+jfv37ytdZsKECQo/FwgEEoFJTcxFpS7+PElhYWElvn6xw4cPc3Py9OzZU6WLxo6Ojtx8DV++fMHNmzeVLqPsmBQG/7wYNGgQbG1tFaYfOnSozPmapPEvvk6dOlWlwHHfvn25C/5hYWHc/DnyuLm5KZ0riz/nlEAgUHpRnJ/fkydPlBVZJfw8xXN5KKOnp4fJkycrTcO/sHj27NkCc9HJosp8L/zvp5s3byq8OK+OTp06wcXFRWGaVq1acc+jo6Ml5hIR+/fff7nnXl5eaNy4scI87ezs0K9fPzVLq9zr16+555UrV9Z4/urgB5zv3LmDgIAAAPlznX38+BGhoaEICAjA69evERgYKDEv2O7duyVuQiiqpKQk7sYcALC0tCxSftLLi+crlOXMmTPcd6STk5Pc3wojR47knisLaChSo0YNLghx9+5dREREcJ+lp6fj5MmTAPLnSOvevXuh16MqxhguXLgAIP8GAP68QEWlSiAOAPr06cMF8Z89e4bbt2/LzZNfvtzcXG6eNjH+vHbSx7J58+bcd4uyYJGnp6fcGwv49UnVujp+/HiJ/xuyHh8+fFApL75ffvmF+x6Mj4/Hhg0b1M5DHn4bxW+7CCGEFF3x3SJLCCGEkCJRdsFYIBBg3Lhx+OWXX+Ds7Kyx9d65c0fiIl2XLl2ULuPp6Ql7e3uNXIRr3LgxN5n0kiVLULlyZQwZMqRYe/Yowr/YVxz4QSBFunXrhnPnzgHQbjBBk0JCQrjnderUUakeN2/eXGKC8JCQEIUXVw0MDJRefAUk78AVX5zTFPFk17dv38azZ8+QnJyMzMxMiQuQb9++lfm8pPEnuFdnUnl3d3f4+/sDyL/IqKgnl6WlpcaC22I5OTkSwWVV2i19fX107NgRR48elZuGMSbRI0TVfaKvr49atWrh/v37EAqFePDggcKeksoCRQBQsWJF7rmrqyvs7OxUTq9qnY6OjsaVK1fw8OFDJCQkIC0tjQseSktKSkJmZqbcXjBijRs3Vhq4A/LbuNmzZwPIvzD99OlT1KtXT256BwcHNGzYUGm+Xbp0gUAg4M638PBwjVzobtGihdI0/HaFMYaUlJQCx43fnvN7QSnStm3bIgUFZElMTOSeW1lZaTRvdcnqgfDzzz9j+fLlBd738fHB9evX0bBhQ+43yOLFizFy5EiN/G7Izs6WeC2vJ5mqpJfPysqSm3b37t3c82HDhsnt0SgOTmdmZuLp06cICQlRqU2RZdSoUVzAf8+ePVi1ahUA4Pjx41xPmaFDh3K9SYtTWFgYF6To3LmzRtd55swZ7qarKlWqoG3btjLTmZiYoF+/flyvqj179qB58+Yy09arVw+2trbcuXT9+nV06NCB+5wf8JEOFpmamqJRo0YICwtDWFgYvnz5InHzFP+7WVHQjF9fVa2rN27cwLNnzxSmUVRP5XFwcMD06dO5XrwrV67ExIkT5Qa61GFlZYXo6GgAkr2pCCGEFB0FiwghhJAyijGGGzduICMjQ6P5vnz5knvu4OCg0kU+IP/OeE0Ei8aOHYs//vgD6enpyMzMxMiRIzFr1ix069YNPj4+aN26tcRwRcWtuIfjcXd3Vymdm5sb9zwhIQEpKSlFvsNZ2/h1TZ3ggYeHBwIDAwvkIYuNjY1KFwz5F7xlDR1TWHv37sX8+fMlhplSRpVh3IrL48ePuec7duzgApTK8I8D/6KzLC4uLgqHcSuMN2/eSPTaKMx5JUtcXJxEoGXmzJkqX4Dm3+2sbJ84ODgozY9fR+3t7dVKr6xOP336FDNnzsTly5clgpjKpKSkKA0WqXosatWqBX19feTm5gIAXrx4oTBYpGq+pqamcHZ25i4svnjxQqXllOEH4+SR3jeyjsObN2+45/KGFZRWt25dldKpg/9bwtjYWOP5q0N6aMQqVapgyZIlctNXqlQJv/32G9c77c2bN/D391f5ZgxFKlSoIPE6NTW1SPlJLy9vSMH379/Dz8+Pez18+HC5eZqZmaFPnz7cEKJ79uwpdLBo8ODBmDlzJrKzs3HgwAGsXLkSOjo6EsHJkhqCjv/906tXL43mzd+eoUOHQkdH/qA7I0aM4IJFR44cwdq1a2UGYgQCAVq1asX1cpXuIcQP+MgahrV169YICwtDdnY2QkJCuKBQdHS0xBDNioJFFSpU4IInRa2rmjBnzhxs2rQJqampSExMxNq1azF//vwi58tvozT9P4gQQr52FCwihBBCSqmAgACJOx1TUlLw+vVrHD58GBs2bEBqaiqePn2Kdu3aISQkROlwOKoS32kJ5F9oV5U6aRWpUqUKTpw4gUGDBnEXzRMTE7Fv3z5uOChHR0d88803GD9+vMJ5MDShOOaG4FN1v0mnS05OLvPBIv5FeHXqDz+Aya+vshgYGKhdLnUulisyffp0rF+/Xu3lpO9kL0n8uTnu3btXqDyUBbuK45ySrgeFPa+k8fcHAFy5ckW9gv0/ZftE3XpamHotz/Xr19GtW7dCBUlVqauqHgtdXV1YWlpygTVlvaHU/X4SB4s01XNQU20LvzzSgQl5irvt11QbWFjSPQ8GDx6stFfJ0KFDMWXKFG4eu+vXr0sEix4+fIg5c+YozMPBwaFAjy0TExMYGhpydV3RsHGqkF5eXj3ev38/ty0NGzZUGtgeOXIkFyw6fPgw/vrrr0L1gqpQoQJ69eqF48ePIz4+Hv7+/qhduzauXbsGIL/3jJeXl9r5FoY4WKSjo6PRYe/ev38vMTegvCHoxDp06IDKlSsjPj4eSUlJOHv2LAYOHCgzrY+PDxcsCgkJQU5ODtdWiINHFSpUkBnsbtWqFdasWcOlFQeF+EEnHR0dhT3era2tuWCRst9HYrKG3g0MDFS5p6Mi1tbWmD17NhYtWgQAWL16NaZOnVrk3ovabqMIIaQ8ozmLCCGEkDLC0tIS9evXx/Lly3Hz5k3uolJCQgJGjBjBXVQoKv7d+epcDCvq0Cx8nTt3xrNnzzBnzhyZcyfExcVhw4YNaNSoEcaMGaPRniDSFN1tqgmq7mPp/avNgIKm8LdBnbrGT1ta98Phw4clAkVubm5Ys2YNbt26hXfv3iEzMxMikQiMMTDGNDrHRlFo4g5dZXPNFMc5JT0XTGHPK2maumNZlfl3tCE1NRUDBw7k2lBzc3PMnDkTFy5cwIsXL7hh6MT1tDAX6Ar7PaLs3C6ufMuC4jiH+L15NDURfWFJ92j29PRUuoy5ubnE3EVRUVESn3/+/BmXLl1S+BAHRKTxb8Yp6lyKjx49kngtr5cYP2gVGRmJChUqKHwMHjyYS5+UlKRyr1BZfH19ued79+7Fvn37uHO/pHoVxcbG4sGDBwDyh59VtZe7Kg4cOCDxm9nHx0fhvrW2tpboOa9oCEh+j6GsrCxumMm4uDjExMQAALy9vWWew/wgED9AxH/eoEEDhcFi/nC+kZGRctOVpFmzZnFB0ZSUFPzxxx9FzpM/LJ50T0RCCCFFQ8EiQgghpAxyc3PDli1buNc3b97Ejh07NJK3hYUF9zwtLU3l5dRJqwoHBwf8/vvvePv2LSIiIrBhw4YCk9YzxrB7924MHTpUo+suSaruN+l0/ONUWJoKMBYW/4JHYeuaqnfil7SVK1dyz/v06YN79+5h1qxZaN68OSpWrAhjY2OJodg0ff4UFv+YHDt2TCJIoOqDP89GSZE+Hwp7XkmTviiXkJBQqH0yevRotbanpOzcuZO7CGplZYU7d+5g7dq16N69O2rUqAEzMzPo6upy6QtTTwt7bitr44or35LGr2OqDkGpao8BdajTY7O4SQdQCtNTUJPbwJ9vLDIyskjtdWhoKPe8WrVqsLa2LpDmzp07EkOC5uTkICUlReFDesixosxp1bVrV26oy1OnTmHnzp0A8oOUynrhaMr58+e55z179tRo3tL7Rtm+TUlJkZi77dKlS9xcStIaNmwocU6LAz38QKT0fEVidnZ2qF27NgDg1q1b3Dr5wSJFQ9ABkgGnz58/49WrVwrTlwRzc3PMnTuXe71u3boiD1vNP7+Vzd9HCCFEPRQsIoQQQsqoQYMGSQxTt2TJEo30sOHPhREXFyd3cnNp4iF+ikO9evUwZcoUHDlyBO/fv8e///6L+vXrc5+fPXtWYiz4skTV/cZPp6enJ/MCE/9Oe/G8H4poajimwuL/wVen/vAvfpTGiwQfP37k7ogGgL/++kvpEEpv374t7mKphD93jibmICsp0nP4iO/gVkZZvZOeS6gs7RNVXL58mXs+c+ZM1KxZU2H6wtRTVc/tz58/S1zwVjYvk6r5MsYk6oMq8z2VpGrVqnHPZQ0HJYuq6dTh5OTEPdd2eyQ95JqqvcH4PaKMjIwkPmvbtq3SoK68doP/W0soFOLYsWOqbYiUqKgoiWCRvCBIUQI9YhcvXix0e6Wnp8fdhJOZmcmda+3bt0eVKlWKXDZV8INFmpyv6O7duwV6d6krLy8PBw4ckPmZjo6ORHBRHOjhB3zkBYv4n2VkZODOnTt49+6dxJyAsuY64uPXVQCFrquaNm3aNFSqVAlA/rYtX768SPnFx8dzz/ltFyGEkKKjYBEhhBBShi1dupR7Hh8fL9HbqLAaNWrEPc/OzlZpyJW0tLRiuXgli66uLrp164YrV65I3AnNnwhajD/MR2kd35x/4UjVdG5ubjKHYOLPBaPKXdX8O5cVKa79yB9a6N69eyoHuJ49eyYzj9IiNjaWe25raysxLIw8t27d0ng5CnPcmjdvzj2/ffu2xstUXBwcHLgLUUDhzitZ7Ozs4Orqyr0uS/tEFW/evOGeqzIPSWHqaXh4uEr1T/pY8L+LZHny5IlKPTyePXsmEYQqbW0Gf78HBASotIy84dKKgt+bh39xWhu8vLwkhpZSNTD4+vVr7rl0oLco+vXrJzHHysaNGwv1XSi9nKxeOrm5uTh06BD3esuWLWr1YhQHfBUFNFQha7i5khqCLjMzE1evXgWQP6yarPl9CosfiGvRooVa+3bZsmUy85HG7/1z8+ZNCIVCLlhkbGyssK3lB5KuX78uEWQSCARKg0Xe3t5c7yQA2LZtm0q/rYqbsbEx5s2bx73evHkz4uLiCpVXXFycxNCz9erVK3L5CCGE/A8FiwghhJAyzNvbW2IC2j/++KPIcw3UrFlT4iLL0aNHlS5z4sSJEv8zamtrK3H3pqwhQfgXm/jjm5cmFy5cQHp6usI0IpFI4u5QeZMb8+9QVyXId+bMGZXKWFz7kX9RJDk5GRcvXlS6zOHDh7nh83R1ddGiRQuNlUdT1D0XXr16VSw94wpz3Lp06cI9P3PmjMrDYpUG/PqkSrsVHR2tUlCJv080ccd/aaJuXS3MEIPx8fEq1e/Dhw9zz93c3JROgJ6bm4tTp06pla+8ieW1qXv37tzzsLAw3Lt3T2H6T58+4cSJExovR+PGjbnnkZGRWr3BwtjYGF27duVe83vAyXP37l18+vSJe80PfBeViYkJJk6cyL2+c+eO2jfnREREYN26ddzr1q1by/z+unDhAhITEwHkf8f17dtXrfUMHDiQe16U9srT01PiXDEzM0O/fv0KnZ86Ll++zP2W7dGjh8byzc3NxcGDB7nXAwYMUGt5/r59+PAh7t+/LzMdP6CTmpqKy5cvczdUNWvWTOF8a9LzFvGDRfXq1VM6JKNAIMAPP/zAvY6KisKvv/6qcJmSMn78eK4XUHZ2Nn777bdC5cPvGWZnZ4eqVatqpHyEEELyUbCIEEIIKeMWLFjAPX/37h22b99epPwEAoHE3a4bNmyQGO5B2pcvXwr9h08WdS5Q8e8qlzUsW8WKFbnn2r5TWp60tDSJ+W1k2bFjh8Rk3fLmP+HfiX/y5EmIRCK5eYaGhuLs2bMqlbG49mOdOnUkLpYtXLhQ4bCHaWlpEnWtV69epW5IKQASPVwSExPx/PlzhelnzpxZLBdm+cctKipKpXX069ePu5iTmpqK2bNna7xcxWXkyJHc85CQEKUTvM+fP1+lfTJjxgyul9b169exf//+ohW0FOHX1eDgYIVpjx07JnHhUh3K9nVkZKRELwhV53j69ddfFd4gkZCQgL///pt7PXz4cOjp6amUd0np3r27xNBekyZNkhvcZYxh+vTpBean0YRmzZrB0NAQQH5by+/BqQ1jx47lnl+8eFHuhXmxFStWcM8NDAzQrVs3jZbnp59+khju6vvvv1e5J9i7d+/Qt29fLjirr68vETji4wdk27Rpo/ZQq/wAyIMHDySGRFXXo0ePuF41aWlpEjcgFKfiGoKOH4gD1A8W1axZU2IIZHnBOOmecfweSYqGoAMAV1dXVK5cGQAQFBQk0YtQ2XxFYr6+vhLB0hUrVmhlLkFpBgYGWLhwIfd6586dEr0BVRUeHs49V3WfEEIIUR0FiwghhJAyrl27dmjZsiX3etWqVRLDMxTGjBkzYGJiAgBIT09Hnz59JO7YFfvy5QuGDx8uEcgoqg4dOmDTpk1KL4ZduHABgYGB3GtZQ3Pwhxu6f/++yhd2StqKFSskhp3hCwgIwMyZM7nXHTp0kDuECf8O5CdPnmD16tUy00VGRqJ///5cDx1l+Pvx6NGjCoOH6uIPS3L//n2MHj1aZv1NTU1Fv379uHXr6uri559/1lg5NMnJyUniouKMGTNkblNubi6mTJmCCxcuFEs5PDw8uAvjnz59wt69e5Uuo6enh99//517vWPHDkyaNEnpfGgZGRnYvXs3OnToULRCF0G3bt0kLuSNHj1a7gXmVatWSdxhrkidOnUwYcIE7vXYsWOxefNmpYGm9+/f47fffsP06dNVWo828C+0rV+/Xu5cHpcuXVI5gCPLjRs3MGPGDJltTlxcHPr06cMFiu3s7CQCBYq8evUKw4YNkxkwSkpKQp8+fbi52YyMjPDdd98VehuKi66uLv744w/udWhoKDp37ozIyEiJdPHx8Rg6dCgOHTokMQSrppiYmEj0aiiOoe7U0a1bN+57XSQSYeDAgRJDfPL98ccfOH78OPd6zJgxEoFQTbC0tMTBgwe5NjUrKwu9evXChg0bFN6YERgYiNatW+PFixfce6tWrULDhg0LpE1MTMS///7LvVY3mAHk3zRSvXp17nVZ6w3JGOO+E83MzArMwVMU/H3RpEkTid7YquL3Ljp48KDMG1z09PQkboQJCgrinisLFvHTJCcnIyIigntf1cCIvr4+jh49yvVCEgqFGDNmDCZNmqTS77e0tDScPHlSpXWpy9fXF7Vq1QKQP1SiqvML8vHbJn7PX0IIIZpRum6rIoQQQkrY9evXC0yCrMyzZ8/kTqaqbl7btm2TuBu+sBYsWMDdRRsbG4vdu3dLXNxUV7Vq1fDbb79xvQrCwsLg7u6OyZMno1mzZtDT08PDhw+xefNmPH/+HNbW1vD09IS/v3+RtyUqKgpTpkzB999/j86dO6NFixaoW7curK2tIRQKERMTg3///RcnTpzgLtB4eXnJ/MNYt25dNGzYEPfv3wdjDO3bt0f9+vVRtWpVibvLt27dqrUeKoMGDcLRo0cxbNgwHD16FIMGDUKVKlWQkJCAc+fOYd++fdx2mpqaYtOmTXLz8vDwQOfOnbn5m+bOnYvw8HAMHjwY9vb2+PjxI/z8/LB7927k5ORgxIgRKvWS6NevH2bNmoXs7Gy8ffsWrq6u8PT0hK2tLdfjwt7eHlu3blV7+3v06IExY8Zg165dAIADBw7gzp07mDBhAjw8PCASiXDnzh1s3rxZYn6VOXPmoGnTpmqvr6TMnDkT33//PYD8C+2NGzfG5MmT4ebmhpycHDx48AA7duzA06dPoauri1GjRnH7QFMsLCzQs2dPnD59GkB+8GT58uWoXr26xDA4S5culRhuaPDgwQgJCcFff/0FIH/OjBMnTmDYsGFo2bIlN0xlUlISnj59ipCQEFy+fBmZmZkanSdEXbq6uti6dStat26N3NxcfP78Gc2bN8fYsWPRuXNnVKhQAdHR0di3bx+uXr0KgUCAAQMGqDQB+Nq1a3H//n3cvn0bOTk5mDx5MtatW4eBAwfC09MT1tbWyM7ORmJiIh4+fIigoCAEBwdDJBJh8ODBJbD1hTNhwgSsWrUKWVlZSEtLQ8uWLTF58mS0a9cOpqamePPmDU6dOsVdOBw3bpzavVe/+eYb/Pfff1i/fj1u3ryJcePGoU6dOsjKysKNGzewefNmLqADAH///bfSIeiA/MD5vXv3cOrUKdSvXx+TJk1CgwYNkJeXh/DwcGzcuFHiwujChQtRo0YNtcpeUoYOHcq1zUD+xWU3NzfUqVMHlSpVwufPn/Ho0SOIRCIYGBhgy5Yt6N+/P4D8C8Oa0q9fP1y5cgVAfrvFH3pNEVm/faQDg7LSjBw5Etu2bZOb79atW9GyZUt8/vwZL1++5H6HtGnTBqampoiKisLevXslbhypWbOmRMBbk1q2bIkTJ05gyJAhyMrKQkZGBqZNm4a///4bgwYNQsOGDWFvb4+UlBS8fPkSp06dQlBQkERgefHixXKDlgcPHuR6H+no6BR62LcBAwZw++DAgQNYtWpVqetRJ094eDjevXsHAOjUqRPX262oEhMTJW7MKEwgTrycuEf/x48f8d9//8ns/eTj41PgN7GqQ+e2atUKR44cKfC+svmK+KpWrYqrV6+id+/eXO+dLVu2YM+ePWjXrh3at28PFxcX2NjYQEdHB6mpqXj16hVCQkJw4cIFiRu2DAwMNHYcdHV1sWTJEgwdOrRQy2dkZHC9YPX09PDNN99opFyEEEJ4GCGEEPKV8fX1ZQAK/YiOjuby2rVrV5Hy2rVrF5dXdHS0xGcBAQFqbZeXlxe3rIuLC8vNzS3yvpo+fbrSbTA0NGTnz5+X2K+LFi2SmZ/0Nsri5OSk1j6sWbMme/36tdxtCAsLYxUqVFD5mEqXQZ3jwK8PPj4+ctNJ5z9ixAil22lkZMSuXLmitAxRUVGsYsWKSvMbNGgQe/XqldLjIbZlyxamo6MjNz8nJ6cCyyjax3w5OTlsyJAhKh/z6dOnM5FIJDe/gIAAheWSZdGiRdwyvr6+Ki2jSF5eHuvSpYvSbdHR0WHr1q1Tue6omk4sOjqaOTo6KiyDvDq+dOlSJhAI1DofHRwcNFLuojhy5AjT1dVVWtb58+erVa709HTWr18/tfYHADZ48GCZ+anSZvIV5tircn7v3btXpePcunVrlpWVpdJ5Lb1tW7duVdh+iB/Lli1TuE3S5+n58+eZoaGh0nwnTJigMF9V2wwfHx8uHf/7WxFV28G8vDw2ZcoUhcfC2tqaXbx4kT158oR7z9bWVqVyqCIhIYHp6+szAMzExIRlZmaqtJy654Q6be2NGzeYtbW1SvnVrVuXRUVFFXEvKBccHMxq166t1rba29uzkydPKszX09NT4nwrrPDwcIl1nzt3TuJz/nnUuHHjQq9HjH++9+/fv0h5LVy4kMtrx44dRS6b2Lp16yT2yatXrwqdl7u7u9LtvXbtWoE64OXlpVL+9+/fL7BsrVq1ClXWDx8+sD59+hT6HP3mm2/Yy5cv5eZfmGMvEolY/fr1C6xr9uzZSpc9duwYl7579+4q7wdCCCGqo2HoCCGEkHKCP3eR+O75olq3bh327NkjMfcJn6enJ4KCgjQ6AfGKFSvQp08fWFpaKkxna2uLn376CXfv3lU4lIiXlxceP36MefPmoXnz5rC2ti51d9ju27cPq1atkjtxcevWrXHnzh20b99eaV4uLi4ICgqSOxyYjY0N/vjjDxw+fJjrFaSKCRMmIDQ0FBMmTIC7uzssLCzUWl4RfX19HDx4EPv375cYPkeau7s7zp49i3Xr1kEgEGhk3cVFV1cXZ8+exffffy/3jlx3d3dcunSpWIcpc3Z2xoMHD7BixQq0adMG9vb2CifX5ps3bx7u37+PAQMGKL2ruE6dOpg7d67EHf7aMmjQIAQHB8sc5gkAHB0dsWfPHrXnWjM1NcWJEydw9uxZtGjRQmEd1NXVRcuWLbFmzRr8888/aq2npI0cORJnzpyBi4uLzM+trKwwb948XL16Ve3es2Ljx4/HhQsXULNmTZmfu7i44OzZs/jll1/UyrdHjx4ICgqSGCqTz97eHjt27MCWLVvULnNJ09XVxYYNGxAcHIzRo0fDxcUFRkZGsLGxgaenJ3799Vc8fvwYXbp0wcePH7nlNDkkna2tLdebJTMzE2fOnNFY3oXVqlUrPH78GEOHDpXbDllYWGDevHkICQmRW481qWXLlnj8+DHWr18vMVegovSvXr2SGCpW2uPHj3H37l3udWF7vgBA48aNJfZDaZivRlXiueYEAoFGf1vyh6Br1KgRXF1dC50Xfyi6c+fO4fPnzwXSNGvWrEB7qcoQdEB+L3Hp38Dq9Cris7e3x6lTpxAeHo4hQ4bI/Z3JV716dcydOxdPnjzB6dOnFf4uKwyBQFDouU75w8eq2vOREEKIegSMFcNsuoQQQggpV4RCIa5du4YnT54gLS0NlSpVQqNGjSTmB9E0kUiEyMhIPHv2DHFxcUhLS4OBgQFsbGzg4eGBRo0aaXT4ndIgJycHAQEBiIqKQkpKChwcHODt7c2N766uZ8+eITg4GB8+fICFhQVcXV3RoUMHlYMF2vLo0SPcvXsXHz9+hEAggIODA5o3by73QnNp9+nTJwQEBCA6OhoAUKlSJdSvX79Yzx9Ny8rKQnBwMKKjo7n5yywtLeHq6goPDw9uQu7S5sGDBwgLC0NCQgJsbGxQq1YttGnTRiOBzoSEBAQHByM+Ph5JSUlc+1SzZk00aNAAFhYWGtiCkpOXl4dbt27hwYMHSE1Nha2tLZydndG2bVu124zRo0dzF2cXLVqExYsXc5+FhIQgIiICHz58gLW1NTw8PJQG38QWL16MJUuWAMif+4J/Efzhw4e4d+8e3r17B3Nzc9SpUwc+Pj6l7uYATfjzzz/xww8/AMgfNvLw4cMay/v27dvcUFkdO3bE5cuXNZZ3USUnJ+PatWuIjY1FamoqbGxsUKdOHbRs2VKrvwfi4+MRGhqKDx8+IDExEbm5uTh8+DCePXsGIP/i+N69ezFixAitlbEsePv2LRwdHQEATZs2RUhIiJZLVP4wxnD//n28ePECiYmJSEpKgrGxMaysrFClShU0btxYpYCSNnz8+BGOjo7Izc2Fq6srXrx4obGblgghhPwPBYsIIYQQQgghhGiMomBRUSgKFn0tGGOoX78+Hj9+DCB/jqcZM2ZodB3t27dHQEAABAIBIiMjUadOHY3m/zWIi4tDq1atuPli9PX1ce7cOZnzK5J8W7ZswaRJkwAAv/32G+bPn6/lEpHS5LfffsPChQsB5NeVoszNSgghRD4KwxNCCCGEEEIIIVqk6j2c4uHogPyJ54cNG6bxsvz6669cmf7880+N5/81cHR0hL+/PzeMb25uLvr374+wsDAtl6z0Eg9BBwA9e/bUYklIafPlyxesX78eQP7wumPGjNFyiQghpPyiYBEhhBBCCCGEEKJFkydPxvfff4+QkBCIRKICnz979gyjRo2S6KU1efJkjc5ZJNaqVSt88803AIC9e/dyvWOIemrUqAE/Pz9YWVkBADIyMtCjRw+8ePFCyyUrndq0aYNFixZh2bJlcuecI1+nTZs2cXO1LV++vNwNQ00IIaVJ+RvAmRBCCCGEEEIIKUOSk5OxZcsW/PXXXzA1NUXt2rVhZWWF7OxsxMTEIC4uTiK9p6cnVqxYUWzlWbNmDS5evIjs7GwsWrToqxzyTxM8PDzg5+eH8+fPc+/dvHmzzM7BV5zmzJmj7SKQUigtLQ3Lly8HAHh7e2Po0KFaLhEhhJRvFCwihBBCCCGEEEK0iD9Re0ZGBu7evSs37YABA7Bz504YGxsXW3lcXV3x5cuXYsv/a+Ll5QUvLy9tF4OQMsnc3BwJCQnaLgYhhHw1KFhECCGEEEIIIYRo0fbt29G3b1/4+/vj3r17eP36NZKTk8EYg5WVFapVq4Y2bdpg2LBhaNy4sbaLSwghhBBCyiEBU3UmTVKqiUQixMfHw9zcHAKBQNvFIYQQQgghhBBCCCGEEEKIFjHGkJaWhsqVK0v0ZpeFehaVE/Hx8ahataq2i0EIIYQQQgghhBBCCCGEkFIkNjYWjo6OCtNQsKicMDc3B5B/0C0sLLRcmtIjNzcXfn5+6Ny5M/T19bVdHEIKheoxKeuoDpOyjuowKeuoDpOyjuowKeuoDpOyjuowKeu+5jqcmpqKqlWrcvEDRShYVE6Ih56zsLCgYBFPbm4uTExMYGFh8dU1BKT8oHpMyjqqw6SsozpMyjqqw6SsozpMyjqqw6SsozpMyjqqw1Bp6hrFg9QRQgghhBBCCCGEEEIIIYSQco2CRYQQQgghhBBCCCGEEEIIIV8xChYRQgghhBBCCCGEEEIIIYR8xShYRAghhBBCCCGEEEIIIYQQ8hWjYBEhhBBCCCGEEEIIIYQQQshXjIJFhBBCCCGEEEIIIYQQQgghXzEKFhFCCCGEEEIIIYQQQgghhHzFKFhECCGEEEIIIYQQQgghhBDyFaNgESGEEEIIIYQQQgghhBBCyFeMgkWEEEIIIYQQQgghhBBCCCFfMT1tF4CULowx5ObmQiQSabsoGpGbmws9PT18+fIFQqFQ28UhpFCoHpOyjuowKeuoDpOyrjzUYR0dHejp6UFHh+53JIQQQgghpDhQsIgAAIRCIRITE5GWlobc3FxtF0djGGOoWLEiYmNjIRAItF0cQgqF6jEp66gOk7KO6jAp68pLHdbR0YGJiQksLCxgaWmp7eIQQgghhBBSrlCwiEAoFCI2NhbZ2dmwtLSEmZkZdHV1y/QfSTGRSIT09HSYmZnRXYikzKJ6TMo6qsOkrKM6TMq6sl6HGWMQiUT48uUL0tPTER8fj6ysLDg4OJSL/yyEEEIIIYSUBhQsIkhMTER2djaqVasGY2NjbRdHo0QiEXJycmBkZFQm/xgTAlA9JmUf1WFS1lEdJmVdeanDpqamsLGxQVJSEt6/fw8DAwNYW1tru1iEEEIIIYSUC2X3nwLRCMYY0tLSYGlpWe4CRYQQQgghhJDyx8rKCubm5khOTgZjTNvFIYQQQgghpFygYNFXLjc3F7m5uTAzM9N2UQghhBBCCCFEJZaWlsjOzkZeXp62i0IIIYQQQki5QMGir5xIJAIA6OrqarkkhBBCCCGEEKIaPb38EdWFQqGWS0IIIYQQQkj5QMEiAgA0MSwhhBBCCCGkzKD/L4QQQgghhGgWBYsIIYQQQgghhBBCCCGEEEK+YhQsIoQQQgghhBBCCCGEEEII+YpRsIgQQgghhBBCCCGEEEIIIeQrRsEiQgghhBBCCCGEEEIIIYSQrxgFiwghhJAStG/fPrRp0wZWVlbQ0dGBQCBAw4YNtV0shQQCAQQCARYvXlzoPIKCgqCrqwuBQIDAwECNla2kjB49GgKBAM7OztouSrlTVvdtTk4OatasCYFAgOPHj2ss35iYGO6c2717t8byJaQkKKu/PXr0gEAgwKJFi0q+cIQQQgghhBCFKFhESAkKDAzk/kDzH3p6erC2toaLiwvatGmDWbNm4cSJE8jJydF2kQkhGjRnzhyMGjUKN27cQHJyMhhj2i4SIeVKXl4eNm/ejNatW8POzg7GxsaoXr06Jk6ciIiICI2u6++//8bLly/h7u6O/v37azRvQsqrBQsWAABWr16NuLg4LZeGKJKXlIQvz59ruxiEEEIIIaQEUbCIkFJAKBQiKSkJMTExuHHjBtauXYsBAwbA0dERS5cuRV5enraLSEihtW3bFgKBAG3bttV2UdSi6d4OsbGxWLNmDQCgefPmOH/+PB48eIBHjx7hxIkTGllHWbZ48WIugE5IYSQmJqJly5aYPHkygoKCkJiYiC9fviAqKgpbt25F48aNsX37do2sKy0tDb///jsAYP78+VRviVZootdnSWvevDk6deqEzMxMLF++XNvF+epl5Gbg85fPBd5neXl4PXIkovv2Q/bLl1ooGSGEEEII0QY9bReAkK/V5MmTMWXKFO51eno6kpKS8PDhQ1y5cgX+/v5ISEjAggULcO7cOZw/fx52dnZaLDEhpCgCAgIgFAoBANu3b4ebm5uWS1SyWrVqBaFQCB0duk+FaJ5QKETfvn0RFhYGAOjXrx/Gjx8Pa2trhISEYOnSpfj48SMmTpyIKlWqoFu3bkVa36ZNm/Dp0ydUq1YNAwcO1MQmcJydnanXISnXZs+ejcuXL2PHjh1YsGABKlWqpO0ifZUYYxhzcQzi0uJwovcJVDL733FI/e8icl6+AgCkBwXBsEYNbRWTEEIIIYSUILpiQ4iW2Nvbw93dnXs0b94c3bp1w9y5c+Hn54fHjx+jUaNGAIDQ0FD07duXhqUjpAx7+/Yt97xWrVpaLAkh5c+ePXsQFBQEAJgyZQpOnDiBrl27omnTppg+fTqCg4NhYWEBkUiEGTNmFKnHrlAoxPr16wEAQ4cOpQAoIWrq2LEj7O3tkZOTgy1btmi7OF+t+Ix4PPn8BGm5aTj49CD3PhOJkLhlM/c6MzxcG8UjhBBCCCFaQP9uCSml6tWrh+DgYC5gFBwcjA0bNmi5VISQwsrOzuae6+vra7EkhJQ/q1evBgBYW1vjjz/+KPB5jRo18PPPPwMAXr58iVOnThV6XZcvX0ZsbCwAYPjw4YXOh5Cvla6uLgYPHgwA2LVrF/Wk05J7H+9xz088P4HM3EwAQNqVK/m9iv4/EJ4VfoeOESGEEELIV6LcBovS0tKwePFieHh4wMzMDJaWlmjSpAn+/PPPQvfOSE5OxpkzZ7Bw4UL07NkTlSpV4sYK3717d6HL2q1bNy6fsjanBylexsbG2LdvHzcXwurVq5Gbmys3/fv37zFv3jx4eXnB2toahoaGqFq1KgYNGgR/f3+5y8XExBSoyydPnkTnzp1hb28PU1NTNGjQAP/884/E+hljOHjwINq2bQt7e3uYmJjA09MTmzdvVvinMiMjA0eOHMG4cePQsGFDWFpaQl9fH3Z2dvDx8cHq1auRnp6ucN9Ij9Pv7++P3r17o1KlSjAyMoKrqyumTZsm0ZtD2u7du7l8YmJikJ2djdWrV8PT0xOWlpawsLBAs2bNsHHjRm74MEWEQiH27NmDnj17onLlyjA0NISNjQ1atWqFNWvWICsrS+6y0vP6vHjxAtOmTUPNmjVhZmYGKysrxMTEKC2DNJFIhP3796N79+6oWLEiDAwMYGdnh3bt2mHjxo0K20NV5+yR3o/Sy1+7dg0AcO3aNS6d+CGdtyaOq6pz3wQGBnLpAgMDCyy/Z88eAMDr168LlFud+UmcnZ0hEAiwZMmSAtspa7+JnTt3jpu7TFyXWrRogZUrVyo8P2TV67Vr16J58+awtbXVyPwWhTkuQUFB0NXVLbC/xeVVtH/k7aPCys7OxtatW9GjRw9UqVIFhoaGMDU1hZubG8aNG4dLly4pvTCWnJyMhQsXws3NDaampqhQoQLatGmDAwcOKFyuONq/sLAwDB06lKsrVapUwciRI/HkyRO5eUjXE5FIhK1bt6Jly5awsrKCqakp6tevj2XLliEzM1NheYCitX9F9fz5c25bBw0aBBMTE5npRo8ezT0vSrDo6NGjAICaNWvCw8NDYdo7d+5g7NixqFWrFkxNTWFkZISqVauicePGmDp1Ks6ePVugrsn6Tpbl06dPmDNnDmrXrg1jY2M4ODigU6dO3LbJa5vFxG2TeL88e/YM48ePh7OzMwwNDeHg4IC+ffvi9u3bqu8cJR4/fozp06fDw8MDVlZW0NfXR8WKFdGxY0esWrUK7969k7tsUFAQRo4cCWdnZxgZGaFChQpo1KgR5s+fj4SEBLnLSbf1IpEIO3fuRLt27eDg4AAdHR1uH6iTlu/u3buYNGkSateuDTMzM5iamqJ27dqYPHkynj9/rvF9Iz52YkuWLCnQZsoqJ5AfLJ01axY8PDxgaWkJY2NjuLq6YvTo0QhXoQeJUCjExo0b0axZM1hYWMDS0hKenp5YvXq1xE0RyvTv3x8A8ObNGwQHB6u8HNGc+x/vc8/TctNw6uUpMMbwaVN+ryLrMaMhMDKCMDkZOa9eaamUhBBCCCGkRLFyKCYmhjk7OzMADAAzMTFhhoaG3OtGjRqxz58/q53vrl27uDykH7t27SpUWaXz9PHxKVQ+KSkpDABLSUlRa7msrCwWGRnJsrKyCrXe0k4oFLKkpCQmFAq1XRTGGGMBAQHcsV60aJHKy3Xu3JlbLjg4WGaa/fv3M1NTU7l1FAAbO3Ysy83NLbBsdHS0RF2ePHmy3Dz69evH8vLy2JcvX9iAAQPkphs/frzc7fHx8VFYTgDMxcWFPXnyRG4e/P24ePFiuflYWlqy69evy8yDf/7dvXuXNW7cWG4+bdq0YWlpaXLL8/r1a9agQQOF21SjRg327NkzhfvEx8eHnT59WuaxfPXqldz1y/Lp0yfm7e2tsEx169ZlMTExMpf39fVlAJiTk5PC9fD3Y3R0dIHlFT2k89bEcV20aBGXThH++RgQECBzeUUPVTk5OSnNi7/fsrKyWN++fRWmr1y5Mrt3757M9fGPR1hYGGvYsGGB5dVpfxgr+nERCoXs3LlzMve3ou9WefuoKO7du8dcXFzUXh//fHj69KnE7wzpx9SpU+WuX9Pt34YNG5ienp7MfExMTNi1a9dk5sHf7xEREaxDhw5yy9O0aVOWnp4utzxFbf9UbWvk2bFjB7eeQ4cOKUxbq1YtBoBVq1ZNrXXwf0+Ij/3IkSMVLrNmzRqmo6Oj9HhLf7dIfyfL8vDhQ+bg4CA3zwkTJshtm8XEbZOvry87efIkMzExkZmXrq4uO3z4sFr7S1peXh6bNWsWEwgECveFr69vgWWFQiGbOnWqwuUsLS2Zn5+fzHXz2/r//vuPdezYUe561UkrLpuy7dLT02NbtmzR6L5R5XtFel8KhUL266+/Mn19fbnLCAQCtmDBArllTUtLY61bt5a7vKenJ7t7967S+ssYYxkZGUxXV5cBYL/88ovcdIqU9/8xxa3fmX7Mfbc7G3tpLHPf7c66nejGUgIDWWTtOuxJw0YsKOJfdrN/JxZZuw77rKRtLQk5OTns9OnTLCcnR9tFIaRQqA6Tso7qMCnrvuY6rE7coNwFi3Jzc5mHhwcDwCpVqsQuX77MGMv/g3T48GFmbm7OALDu3burnfeuXbtYxYoVWbdu3di8efPYyZMnVfozJM+7d++YlZUVq1ChAqtbty4DKFikaeUlWLRq1SpuuZUrVxb4/MiRI9xFBldXV7ZmzRp28eJFdufOHXbixAnWvXt3bvlZs2YVWJ5/YapZs2bcOXLy5El2584ddvr0ae59AGzbtm1s+vTpDAAbNmwYO3/+PLtz5w47fPgwq1OnjsSFFlm8vb2Zh4cHmzdvHjt16hQLCQlht2/fZkeOHGFDhgzhLq7Vrl1bbt0Ur8PLy4tLu2PHDhYWFsb8/f3ZxIkTuXwsLCzYmzdvCuTBv5DWpEkTBoANHjyY/fvvvyw8PJwdPHiQex8A69Onj8yyJCYmsqpVqzIAzNDQkE2bNo0dO3aMhYWFsYCAAPbzzz9zF+FcXV1ZcnJygTzEF5BdXFyYmZkZs7OzYytXrmTBwcHs5s2b7Pfff2cfPnyQuX5Z8vLyWIsWLbiy+/j4sGPHjrHw8HB29uxZ1qdPH+6z6tWrywyEFTVYFBcXxx49esQdIy8vL/bo0SOJh/TFY00c16IGiz58+MAePXrEvvnmGwbkB2aky/3o0SOFefM9e/aMPXr0SCIIK50X/8fKoEGDuHQNGjRge/fuZWFhYezSpUtszJgx3LlubW3N4uLiCqyPfzzq16/PBAIBGzVqFLtw4QK7c+cOO3XqFPv3339VLj9jRT8uioJFSUlJSveP9D4qrMjISGZmZsatp2/fvuzIkSMsLCyM3b59m+3du5eNGDGCmZqayg0W2dnZsZo1azJzc3M2f/58FhgYyMLDw9m2bduYo6Mjl/fFixdllkGT7V/z5s2Zjo4Oa9CgAdu5cycLCwtj169fZ7NmzeLyqVatGsvOzi6QB7+etGzZkuno6DBfX1+JesJvQ3766SeZZdFE+1fUYNHs2bO5csoLoor17t2buyiuKAAmTfx74vXr19y61q1bJzf9gwcPuGPg4uLC/vzzT3blyhV27949dv36dbZt2zY2bNgwZmpqqnawKCkpiVWuXJlLM3LkSPbff/+x8PBwdvjwYe648b+3FQWLPD09mZGREXNxcWHr169nt2/fZrdu3WKLFy9mRkZG3Hn98eNHlfeXtG+//ZYrS6VKldiyZctYQEAAu3v3Lrt06RL77bffWIMGDWQGi3788UduWRcXF7Z582YWGhrKAgIC2KxZs7jgh4GBAbt//36B5fltff369RkA1rt3b+43zr///ssFw9RJyxhjU6ZM4dK3adOG7dy5kwUGBrLQ0FC2bds25ubmxn1+5swZje0b8feKeLnJkycXaDOlvx9+//13iW3btGkT8/f3Z+Hh4ezAgQMS5/vff/8ts6zi70UgP4h86NAhFh4ezi5cuMAGDhwo8XtKlf9H4n3s7e2tMJ085f1/THFKzU5lHrs9mPtud/Ym5Q1rcbAFc9/lxu737c4ia9dhN+aOZR67PdiSsXVZZO067MGU0dou8ld9gYeUD1SHSVlHdZiUdV9zHf6qg0Xbt2/n/qDcvHmzwOcHDx7kPvf391cr77y8vALvqfpnSBbxnePbtm2T6FVQGBQskq28BIv8/f255b799luJzxISEpilpSX3mayeQ4wx9ssvvzAATEdHhz19+lTiM/6FKQDsu+++K7B8RkYGd2HJxsaGCQQCtnbt2gLp3r17xwVle/fuLbMsz58/V7i9ly9f5i6ybd++XWYafnk9PT1lBjv27t3LpRk4cGCBz6V7NCxfvrxAmtzcXNalSxcuzYULFwqkGTZsGHehMyoqSmZ57969y/UWknUHLb+3QeXKldnr16+5zwpTj9evX8/lN2rUKCYSiQqkEdcJAGzOnDkFPi9qsEh621Rp3zRxXIsaLBIr6gXswpTr/PnzXJoOHTrIvMi/detWLs2gQYMKfC5dr+WdQ+oo6nFRFCwSU/W4FYWnpyfXDirqgZKYmMgyMzMl3uP3lLO0tGSPHz8usNyLFy+4i+sl1f51795dZj1ZunQpl+bkyZMFPpeuJ/v27SuQ5suXL8zd3Z1r92V9v2ii/SvquTZ48GBuOxISEhSm5fdQkf4uVETcDh86dIhb/saNG3LTL1iwgAFgpqam7P3793LTJScnF2jblQWLvvvuO+5zWd/DeXl5Ehf15bXN/N4pjRs3lvkbcv/+/VyaNWvWyN0ORc6cOcPl0aJFC5aUlCQ3rXSg+eHDh9z54O7uLnPZ//77j0vTtGnTAp/z23oAbP78+XLXr05aPz8/pe1sVlYWa9++PVe/pc+houwbxiR7GSoSERHBBdUWLlwo8zeBUChkI0aMYACYmZlZgVEY+N9P3bt3l9keLFmyRGL/Kft/NGbMGAbk94KUVSZlyvv/mOIUFBfE3He7sy2+TdjzNj7sfuMG7J5bHRZZuw577O7GWq13Y+673dmYpV4ssnYddt2rDlt68zeWkZOhtTJ/zRd4SPlAdZiUdVSHSVn3NddhdeIG5W7OIvEcE+3atUOLFi0KfD5kyBC4uLgAAPbu3atW3rq6ukUv4P87evQoTp06BR8fH4wdO1Zj+RYXxhgyc/LK5CMrR6hWelYKJ3C1sbHhniclJUl8tmnTJqSkpKBKlSrYuHEj9PT0ZOaxZMkSVKlSBSKRSGHdr1q1KlatWlXgfRMTE/j6+gLInyehWbNmmDlzZoF0FStWRN++fQEAN27ckLmOmjVryl0/AHTs2BG9e/cGAJw+fVphWgDYunUrzMzMCrw/cuRIdOvWDUD+/BTv37+Xm0f9+vXx008/FXhfT08P27dvh76+PgBg48aNEp/HxMTgyJEjAID169dz7Yu0Ro0aYerUqQCgdI6zlStXolq1agrTKLNhwwYAgJ2dHdavXy9zjp0lS5agTp06AIBt27apNddASdDEcS1rxMdNX18fu3btgoGBQYE048ePR8eOHQHkzy2maI6P9u3ba/w7pqweFz8/P9y9excAMGPGDAwZMkRuWhsbGxgbG8v9/LfffoObm1uB92vUqIE+ffoAyJ9fRRZNtn9GRkZy68mMGTO49+W1xWL9+vXDiBEjCrxvaGiIadOmAchv9yMjIyU+L472rzDS0tK457LqJp+pqSn3XNncULLw5+Wyt7eXm05c/2vVqgUHBwe56SwtLaGjo/rP8ezsbG4fNmnSROb3sK6uLrZs2QIjIyOV8925cycsLCwKvD9s2DBUrlwZgPJ6JM/KlSsB5P+OOH78OCpUqCA3bdWqVSVeb9q0CSKRCACwfft2mct27doV3377LQAgNDQUYWFhcvOvVauWynO2KUsr3q7+/fvLbWeNjIywfv16APnz3wUEBMjMozD7Rh1//vkncnNz0ahRIyxcuFDmbwIdHR38888/MDQ0RHp6Oo4fPy7xufj3j6GhIbZt2ybz9+b8+fPh7u6ucrnE51BmZmap+84o7+59vAf3GBFa305D3ocPMEjPhmFe/mdnvERINhPAt54v/p5+ESJdAWzTgCuhhzH1ylQIRcrn8SSEEEIIIWWT7KvKZVRmZiY3Qar4gpU0gUCArl27YtOmTfDz8yvJ4nE+ffqE6dOnw9DQEFu3blVronRtycoVot7CS9ouRomI/LULTAxK16nBv/jFvygGAGfPngUA9OzZE4aGhnLz0NPTQ4sWLXD8+HHcunVLbrp+/fpxgRFpDRo04J4PHjxYbh7idElJSUhOTlZ48QMAEhISkJycLBGssLOzAwA8ePBA4bIeHh5o3Lix3M+//fZb/Pfff8jLy0NgYKDcC8S+vr5yz0VHR0d07twZFy5cQGBgIIRCIRc8vnDhAoRCIUxMTOS2O2Jt2rTBqlWrEB8fjzdv3sgMCBkYGGDgwIEK81EmPj5eYrJ3c3Nzmen09PQwZswYzJ07F0lJSbh7967MILs2aOq4liV5eXm4du0aAKBz584KLwyOHz8e/v7+3PYPHTpUZrrhw4drtIxl+bicP3+ee/7dd98VOh+BQIBhw4bJ/bxx48Y4fPgwPn/+XOztX6dOneQGLMzNzVGzZk1EREQgKipKYT6K6gn/eEdFRaF+/frca023f4X15csX7rmswBkf/3syKytL7XUlJCRwz62srOSmq1SpEgAgMjISoaGhaNq0qdrrkiU8PBzJyckAIDPAJ+bg4IAuXbrgzJkzSvP08PCQOK58AoEAjRo1Qnx8vNJ6JMunT59w+/ZtAPm/G8SBJ1X5+/sDANzc3NCsWTO56caPH4/t27dzyzRp0kRmusGDB6t885eitKmpqQgMDAQADBgwQGE+devWha2tLRITE3Hr1i106tQJQNH3jTrOnTsHAOjVq5fC/x0VKlSAh4cHwsPDcevWLYwfPx4AIBQKue3t3Lmz3LLq6OjA19cXP/74o0rlsra25p6/f/+eO29I8bv//h6GB+QHYi0H9IfNmDH4/f5fuPgxEGkmAkysPxFTG06FQCCAqXt9ZD14gAZv9eFfIRy7InZhnMc4LW8BIYQQQggpDuWqZ9GTJ0+4uw8V3dUm/uz9+/f4/PlziZSNb8aMGfj48SMWLFiAWrVqlfj6SdnDDxDx7/wVCoW4f/8+AGDLli0QCAQKH+K7RBXdvamoTvIveqqaTjq4JRYcHIzBgwfDxsYG9vb2qFWrFjw8PLjHtm3bAACJiYly1wNA7gUhMf4FukePHhU5n4yMDIkLZuHh4QDyg9V6enoK93/Pnj255eQdg5o1a6p1N7gsjx8/5p4rurgm/Tl/OW3T1HEtS6KiopCZmQlAc8dN3gXgwirLx+XevXsAgGrVqsHJyanQ+dja2kr09pTGv/hZ3O2fuGegsrLIK4cq+SjaHk23f4XFbzNzcnIUpuUH5RT1HpOH/7tRUbBo6NCh0NfXR3Z2Nry9vdGrVy9s3rwZjx8/LlIPZv75rihwCwBeXl4q5ampeiTL/fv3ue1t3bq1WstmZ2fjxYsXAJS3iY0aNeJudNFUm6go7b1797j/HEOHDlX6+0t8LvPrflH2jTpev37NBTl//fVX6OrqKiyr+Lzml/XVq1fc95M63wPK8M+hjIwMlZcjsqnatuSJ8mB04y6qvwdgYgz7WbNgWL06RnacDUfHevjR60dMazSNCyyaNMlvSwZ98QAAbLi3ARGJEcWyDYQQQgghRLtKV/eJIoqPj+eeV6lSRW46/mfx8fESF0KK27lz53Dw4EG4u7tjzpw5hc4nOztb4oJHamoqACA3Nxe5ubkq55ObmwvGGEQiEfenVxZDXQEeL+5U6PJqC2MM6WnpMDM3U7kHl6GuQOG+KAp+vuL9roqPHz9yz62srLjlEhMTkZeXp3Y5MjMzJdbNf25kZKRSuVRNl5ubWyDdkiVL8Ouvv6pU1qysLIXrsbOzU/q52KdPn+Rut62trcr5JCYmonr16gCADx8+KN4AOdLT02Wuj398xcR//lWtM/wLzMq2i98rQXr/8C86KMpDep+qmlaRohxXTZVb1XxUpSw/TR03/nNLS0uNtmeFPS7SF7BKYn9LE+/fSpUqFSp/cflMTExUXr642z9jY2OFn4uHNxMKhQXSFabdl94eTbV/RT32/N63qampCnsX8YeeU+dYisvID0xlZGTI7blZq1YtHDhwABMnTkRSUhLOnz/P9W6ztbVFly5dMH78eJlBAkVtEz9YZWNjo7D8/KCmorZZWT0S/36SVY+U4f9+cXBwUGv5T58+cc+VtT26urqwsbHB+/fvi9Qmqpq2sAHPjIwMLs+i7Btpin4fFLas/N+K6nw/8b8HlP0mEAeggPxjqO4+EIlEYIwhNzdXo8OFlzVZeVlY92tP6BuaYMZPp6Cn+7+/+IwxpJ48CZaVBcvBgyHQ10fkx4fofzW/R6bV6NFgFhbIzc2Fo4kjDnQ9AAAS/ycNGjYEANg9+4gOfTrgSuwVzL0+Fwe7HYSxnjGYUIgM/yswqFUTBnKGI9UEcZnU+a9LSGlCdZiUdVSHSVn3Nddhdba5XAWL+Hc8mpiYyE3H/6wwd0kWVkpKCiZNmgQdHR1s27ZN7lBfqlixYgWWLFlS4H0/Pz+F2y5NT08PFStWRHp6utK7ccsqYwNdCLNVH2om7YvyNIXF/1OcnZ3NBfmUEQ9TAgBOTk7ccuKhaABg1KhRmDhxokr5GRgYSKybf/Hsy5cvcsvFL39mZqbcdPwhgdLT0yXSXbt2jbtQ6uzsjGnTpqF58+ZwdHSEqakpNwb+8uXL8ccffwCAwv2Uk5Oj8HN+UFU6Lb+cGRkZCvORl1Z83tjY2HBDAqqCfxwBcEE/xpjccqjaXvGHVsrKylK4XYqOvfjLRCQSqbxvpI838L9ty8vLU7nOF+W4ygqky6KsPqu6/apSVi7+XdXK2gdV67Wy46+uohwXPln7W9XjVljii5BCobBQ+WvifNB0+6esnig695Sdt/zP+Mvw02mq/SvqucYPnj579kxhsCg6OhpAfgDEwsJC7fXxe/e+fv1a4XB6nTp1wr1793Dq1ClcvXoVt27dQmJiIhITE3HgwAEcOHAAQ4cOxfr16yXmLVK0z1U9bqqkFZ8Tubm5CvMpyvHhfx8p+t0gC/87T1nbA/wvoCdd39X57aVqWv4x+uuvv1TuTVOhQgUuz6LsG2mKysp/f86cOfjmm29UytPU1JRbVp3vJ1V/UwKQmHNPT09P7X2Qk5ODrKwsXL9+vVA3T5UXMe9uof+p/N5j114OQXY/X0BXF8jLg8PJk7C8kz9f39s9e/B+wAC8i7mB5slAuqkuXlSsCPbvvwrz18nMRHWBALmvX8M7rj9CBaF4nfYas07Pwjd6XVHp0CGYRT5BnpkZoufOAVMyHGhRXb58uVjzJ6S4UR0mZR3VYVLWfY11mP8/R5lyFSwq7WbPno34+Hju4lBR/Pzzz/j++++516mpqahatSo6d+4sc4Jieb58+YLY2FiYmZkVeeir0ogxhrS0NJibm5eKuaH4gTxDQ0OVjxV/UukOHTpwy/GPmZ6eXqHrFf+ubCMjI7nl4pffxMREbjp+uczMzCTSHTx4EEB+D5rbt29L3IHKx78woWg/JScnK/z8zZs33POKFStKpJW+Q1xRPvwLGFWrVuXSii9Spqeno0mTJoW+s1V8kVhPT69AOdStx/zek2lpaQq3i39Rp1KlShJp+XN7KMqDfyew9PEGFG+bPEU5rvyhpczMzOROHs/vzSCrPosD+jo6Omq1q/Io25/8OYpSU1MVrvP169fcc0X1WtbxKIrCHhfpnkWy9req9a2w7O3t8fz5c3z8+LFQ+ataH0qy/VP2PaLo3FO1nij6ftBU+1fUc40/n15sbCy8vb3lpn316hWA/PNNnflRxO0wv33Ny8tTWl4LCwvMmDEDM2bMAJA/ZPLZs2exfv16xMfH49ChQ2jatCn3OaB4n1esWJF7npWVpXL7LusYi9tGfX19hfkU5fjw27WUlBS1lue3Ccranry8PK7Xlb29vURaVX+7qJPW0dGRe25tbV2o319F2TfSFLUF/ICmvr4+mjVrpvZvYv72Kvt+4rdfin5TApJ/WuvWravWDW9A/v8YY2NjtGnTplz+j1HV3pUHuedO4c9hbHAB9osW4uP8Bci6cxfQ1YWOmRkM33+A08ZNqKSff/zjB7VG9759VVrHm0OHkfP8OTraVEal+qsw+epkPPscAtdL8dB9HgMA0EtPR4vUNFQYNVLj2wjkB64vX76MTp06FemmS0K0heowKeuoDpOy7muuw+rclFWugkX8oUAURcz4n8kbPkTT/P39sWPHDjg6OmL58uVFzs/Q0FDiT7SYvr6+WhVeKBRCIBBAR0dH7gXVskx8EVu8jdrGL4OqZXr8+DGuXr0KIP/CQtOmTbnljIyM4ObmhoiICNy8ebPQ28hfTlFd0ES6yMhIAEC7du3g4OAgt0x37tyRmZ+08PBwhZ/z8/Hw8ChQNn46Hx8fhesB8i8e1ahRg1vW09MThw4dQnZ2Nu7evat0XgVVSG+PuvWYP89CWFgYfH195aYVb5d4OX7+4gs8ycnJCtcrnlNCXHbptPyLUqrW0aIcV/6FqZSUFLnzy7x8+VJhueXVlcJSth9q1KgBExMTZGZmIjQ0VGm9F1NUrzXdthf2uEgPLVQS+1uap6cngoKC8ObNG8TGxqo9b5Gq9bgk2z91vtuU7e/CtOeaav8K00bwtWnThnt+48YNDBs2TGa69+/f4/nz5wAAb29vtdYlrsMeHh7cey9fvoSnp6daZXVzc4ObmxtGjBiBunXrIiMjA8eOHcN3333HpVG0z/nrv3fvnsK5bqTrkbztVVaPinJ8GjduDIFAAMYYgoKCMHbsWJWXNTY2Rs2aNfHixQulbeKDBw+4HlBFaRNVTevp6clt161btzBq1CiVt0usKPtGmqJjWKNGDVhaWiIlJQW3b98u1G/imjVrwtjYGFlZWWp9Dyjb3+LfDy4uLhJBUlXp6OhAIBCo/f+nPMkV5UL3wRMAwANnAWq/ZcDNm3jdrTsgEkHH1BRV1q6FkbsbPixfgdRz52CQDbyzAioPH6XyfjNt0gQ5z58jZd9+1GreDPM/1kEl/8fQTY2BrpUVLLp3R9KBA0jatQs2w4ZCpxBzwqnqaz7epHygOkzKOqrDpKz7GuuwOtur/avnGlS5cmXu+du3b+Wm43/GX6Y4jR8/HgCwatUqCAQCpKenSzyEQiGA/OCN9Hvk65WVlYVRo0Zxd+X/8MMP3J3iYr179wYAPH36FJcuXSrxMqpLPEyIoomM7927h5CQEJXye/ToETdxvSw7d+4EkD8Wftu2beWm27dvn9yJgd++fQs/Pz8AQNu2bSXunu/Vqxd3IW3t2rUqlbm4Va5cGXXr1gUAHD16VOLucj6hUIjdu3cDyO/pIH3R0+X/x51PS0vDs2fPZOaRk5ODEydOKCyP+G5f/jBjyhTluLrwxsvnB1WkHT58WGEZClPuotDT0+MClpcvX0ZcXJzctNu3b+eWUVSvNU1T55ss/LvCi2Of9+rVi3v+119/aTx/VWi6/dO20tL+1apVS6LNk3fDkLi9A4C+Kt5NL83Ly4urq2FhYYXKA8i/+aNWrVoAJOeDUWX9lpaWAID9+/fLTffhw4dS8ZvA2toaLVu2BJB/bPjzi6qiY8eOAICIiAiEhobKTSduE/nLFCc7OzuuN9HBgweRkJCgdh5F3TeAat9Turq66N69OwAgICAAT548UXs9/O8aPz8/ieHj+EQiEfbs2aNyvuLvaE3caPO1Cn8XhlrR+YHSZ73csXi4LrItjQGRCHoVK8Lp4AGYtW4FPSsrVPljFUz+WoqwmgJs7mUA94oNVV6PSfP8Y5R1/z4+bd6C+icfwy4ViLcWwHz3Bjj8NBf6VapAmJiIpCNHimNTCSGEEEJICShXwaK6detyd689fvxYbjrxZxUrVoS1tXWJlC0mJgYAMGzYMJibmxd4BAUFAQCCgoK4986dO1ciZSOlU2RkJFq1asVdmPXx8cHkyZMLpJs5cyZ3N+aYMWMQERGhMN8LFy7g4cOHmi+wimrWrAkgv67ze3aIJSQkYORI9YavmDBhgsyLrwcPHsS//z8Oe58+fRQOOXT//n1ujhC+vLw8jB8/npubQ/oY1K5dGwMHDgSQH3xYs2aNwrJGR0fj0KFDijdIA6ZOnQogf3/yhzfiW7JkCdfTYfz48QV6K/J7Wv35558y8/j+++8VBucBcPs9KipKbkBOlsIe15YtW3JB1b/++kvmOv/44w+FFx755f748WOJzW8nPm45OTkYO3aszEkId+7cyQUv+/Xrp9ZQWpqgifNNFn568VBhmtSxY0c0btwYAPDPP/8oDBZ++vRJYj4RTSmO9k+bSlP798MPPwAAPn/+jDlz5hT4/NWrV1ixYgWA/J4WhQ0WGRgYcBe2FbUhp0+flphXUFpsbCyePn0KQDLArYyRkRHXiyUsLAx///13gTQikQgTJ06UmLNIm+bOnQsgv2f/wIEDkZKSIjetdJB88uTJ3G/7CRMmyBw+wc/PDzt27AAANG3aFE2aNNFU0RWaP38+gPwhHQYMGKDweGdnZ2PDhg0FjklR9g3wv3ZTWZv5888/Q1dXFyKRCIMGDVJ4M4JQKMSBAwdkHgvxtkycOFHmTW0rVqzAo0ePFJZFLCoqiguUdu7cWaVlSEGhoadhlQEI9XTg03U8oioJsOBbQ1jPmQ3no0dgVLs2rr65ipWhK/F94Pf4Pvcg/higC9369WCsp3rvH/MOHVBx8SLYjB8PqxEjYNmvH0LaVcT8kTo4lXULAn192EzKnzv10/YdEP3/dyhjDAmZCcgWlsyNN4QQQgghpGjK1TB0JiYm8Pb2xo0bN3Dx4kX8+OOPBdIwxrg7LemPCdGmjx8/SgQ1MzIykJSUhIcPH+LKlSu4fPkyd5G7efPmOH78uMxugw4ODtizZw8GDBiAd+/ewcvLC6NHj0a3bt3g6OiI3NxcxMXFITQ0FMePH0dUVBTOnTsnMVRZSRo1ahTOnTuHjIwM+Pj44KeffuIu4N68eRNr1qzB+/fv0aJFC9y6dUtpfl5eXggPD4eXlxfmzp0LDw8PpKSk4Pjx49iyZQuA/OEmV69erTSfuXPn4v79+xg1ahTs7e3x4sULrFmzhrsg2KtXL/Ts2bPAsps2bUJ4eDiioqIwe/ZsnDlzBqNGjYKbmxsMDQ3x6dMnPHjwABcvXsTVq1fRt29fDB06VN1dp5ZJkybhwIEDuHXrFnbt2oXXr19jypQpcHFxwbt377Bz506cPHkSAFC9enUsWLCgQB6NGjXijsO2bduQk5MDX19fWFpa4sWLF9i6dSuuXr2Kli1b4ubNm3LL0rJlS+zatQsfP37E999/jxEjRnB3xuvr68scDqwox9Xe3h4DBw7EoUOHcOnSJfTu3RtTp06Fg4MD3rx5g3379uHEiRMqlRvIv/A6adIkTJ8+Hba2ttznNWrUkLtsYfXo0QMDBw7EsWPH4Ofnh+bNm+P7779HnTp1kJSUhMOHD3O9d6ytrZVenNc0TZ1vsoj3NwDMmjUL8+bNQ6VKlbieK87OzgV6Vqpr3759aNq0KdLT0zF06FAcO3YMQ4YMgaurK4RCIV6+fAk/Pz8cP34cjx8/hrOzc5HWJ03T7V9pUFraP19fX+zcuRPBwcHYsGED3r9/j/Hjx8PKygqhoaH47bffkJqaCh0dHaxbt65Idembb77BtWvXEBoays0nJ23t2rUYPnw4evTogfbt26Nu3bqwtLREUlISwsPD8c8//3AByUmTJqm1/sWLF+PYsWN4//49vvvuO9y5cwfDhw+HnZ0dXr58ib///hs3b95E06ZNue8vbc7b2KtXL4wdOxY7duzAzZs3Ua9ePUybNg3e3t6wsLBAYmIiwsPDceTIETRo0ECiB5iHhwdmz56NP/74Aw8ePICnpyfmzp2LRo0aISMjA+fOncO6desgFAphYGDAtUMloXv37pg5cyb+/vtvXL9+HXXr1sWkSZPQqlUr2NjYICMjAy9fvsSNGzdw8uRJJCUlFRgWtij7BshvN6Ojo3H27Fls2bIF3t7eXG8jCwsLbl4xDw8P/PHHH/j+++8RGRkJd3d3TJgwAe3bt4eDgwO+fPmCmJgY3Lp1C8ePH8e7d+/w6NEjibmKevXqhV69euHcuXM4d+4cvL29MWvWLNSsWRMfP37E7t27ceTIEe57QpkrV64AyO+1JOu3FVFOxET4fPM6AEDoVgOtXdqj8r3KiEE8bnnboqetNVaGrsSBJwcKLNvGsU2B9xQR6OjAasgQifccov9D+vU5OP78OMbXH48K33yDT5u3IPftWxxbNR4XGwtgEvYEjR9kIruKLcatvQx9/YLDqBNCCCGEkFKElTPbt29nAJhAIGC3b98u8PmRI0cYAAaA+fv7F3l94rx27dpVpHx8fHwYAObj41Oo5VNSUhgAlpKSotZyWVlZLDIykmVlZRVqvaWdUChkSUlJTCgUarsojDHGAgICuDqjysPOzo4tW7aM5ebmKs377NmzzNraWmmeOjo67OrVqxLLRkdHq1SX+eUPCAiQm27Xrl1cuujo6AKfjxkzRm75dHV12dq1a9miRYu492QRf7Zo0SKJtNIPCwsLFhgYqLScd+/eZY0aNZKbj7e3N0tNTZW7ze/evWOtW7dW6biOGTOmwPKK2oDC1uNPnz4xb29vhWWpW7cui4mJkZvHkydPmL29vdzlf/jhB6XHOy0tjbm6uspc3snJSSKtJo4rY4y9f/+e1axZU+7yQ4YMYf7+/grrs1AoZM2bN5ebh7qU1WmxrKws1rdvX4XHrXLlyuzevXsyl1d2PAqjqMdFKBSyc+fOKW0/Bg0aJDdvTW1LeHg4q1q1qtLzVHp9vr6+MuustJJu/xRR1K6oWk9U+X4oavun6r5VJiEhgTVp0kTuug0NDdm2bdsKlTe/HU5MTGSGhoYMANuzZ4/M9OJ9r+iho6PDfvvttwLLqrLP79+/z+zs7OTmPXr0aLZjxw7u9fv37wvk4eTkxAAwX19fhduuieOTl5fHpk2bxgQCgcJ9IqssQqGQTZkyReFylpaW7NKlSzLXrepvF3XTMsaYSCRiS5YsYXp6ekqPt6mpKcvMzNTovrl37x5XF5WlFwqFbO3atczExERpWQ0MDNiLFy8KrC81NVXh74pGjRqxO3fuKK2/jDHWtm1bBoD16NFD6X6Wp7z/j1Hm4ceHbFufuiyydh32bt1axhhj2x9uZ+673dmAswPYRL+JzH23O3Pf7c4W31zM9kfuZ34xfuzhx4dMKCr6f6OcvBzmc9iHue92ZxejLzLGGHu+ZyOLrF2HhTaow2561mGRtf/3CB3VjwkzMgq/vpwcdvr0aZaTk1PkshOiDVSHSVlHdZiUdV9zHVYnblCuhqED8u8s9fDwAGMM/fv35+5aE4lEOHbsGDd3ULdu3dChQweJZRcvXgyBQACBQMANGyctMTFR4iGWnp4u8b688fIJkUVHRweWlpaoVq0aWrduje+++w4nTpxAXFwcfvnlF5XugO7Vqxeio6OxevVq7k5RfX19GBsbw8XFBT179sSaNWsQExODdu3alcBWybdz507s27cPrVu3hrm5OQwNDeHk5ISRI0fi5s2bmDlzplr5LV68GBcvXkSPHj3g4OAAAwMDODs7Y8qUKYiIiJAYTk0eKysr3Lx5EytWrEDDhg1hbm4OMzMzNGnSBP/88w+uXbsm8+5xsYoVK+L69es4f/48hg8fDldXV5iYmEBfXx92dnZo2bIlZs+ejWvXrnE9Q4qbtbU1rl+/jr1796Jr165cnbCxsUHbtm2xfv163L9/X2bPHrE6derg7t27mDx5MpycnGBgYAA7Ozt07doVFy5ckDl0nzQzMzPuuNatWxcmJiYqlb8ox9XBwQEhISGYO3cuatasCUNDQ1hbW6NNmzbYv38/Dh06JDH3lCw6Ojrw8/PD/Pnz0aBBA5iZmZXI3flGRkY4efIkzp49i379+qFy5cowMDCAlZUVmjVrhhUrVuDZs2do2LBhsZdFFk2cb/Ls378fq1atQtOmTWFpaan2JOyqaNy4MZ49e4Z169ahffv2sLe3h56eHszMzODh4YEJEybgypUrGu9VJKbp9q80KC3tn62tLW7evImNGzdyvTuMjIzg6uqK8ePH486dOxg3blyR12NjY4N+/foByB9+UZZDhw5h69atGDZsGBo2bIiKFSty9czNzQ2TJ0/GvXv3uKHM1NWgQQNERkZi9uzZXBtna2uLdu3a4eDBg9i1a5fEkG3i3pzaoquri3/++Qfh4eGYMGECatWqBVNTU+jr66NixYro3Lkz1qxZI7NXoo6ODjZs2IDr169j+PDhqFatGgwNDWFhYYGGDRvil19+wYsXL7QyYoBAIMDChQvx/PlzzJkzB15eXrC2toauri7Mzc1Rr149DB8+HHv27MG7d+9gbFxw2K+i7JuGDRvi1q1bGDp0KLdfFPH19cXLly+xZMkSeHt7w9bWFnp6ejA1NUWtWrXQv39/bN68GW/fvpXZe9bc3ByBgYH4559/0KRJE5iZmcHc3BwNGzbEihUrcPPmTZWG+H779i2uX8/vETNlyhSl6YlsV99cgdsbBgCwaJ7fO7dvzb7Q19HH089PERwfDGM9Y6xpuwaLWizC8LrD0cmpEzzsPKAjKPr3q76uPvrX6g8AOPz0MN5nvMcMg5P4aAmYfQEqZACwssS79m7I0QXMQiIR4+uLPDXmaSOEEEIIISVLwJgaE0iUEeKL4eKAj4mJCUQiETdOeKNGjXDlyhVYWVlJLLd48WIsWbIEQP64+rIuFKl6oXDRokVYvHixymVu27Ytrl27Bh8fHwQGBqq8nFhqaiosLS2RkpICCwsLlZf78uULoqOj4eLiIjG5eHkhEomQmpoKCwuLYrnoSLRHfC6qe67x7d69G2PGjAEg/5wvDb6meqyJ40pKn6+pDpPySboOh4SEoHnz5tDV1cWrV68UBt21Zdy4cdixYwccHR0RGxur7eIQLStN7fDSpUuxYMEC1K1bFxEREYW+EaO8/49RZtzWrpi95jVEBnqoGxYOnf8PFs4Lmoezr87CwcQB/7T/B3Vt6hZbGd5nvEfXE10hZEJUMauCt+lv0SbJAT9+bAyb9p1g5uODTORg6l8dMPlQCiyyAH1HR1TbvRsGjlXUWldubi7+/fdfdO/eXebQ3ISUdlSHSVlHdZiUdV9zHVYnblAur9g4Ozvj4cOHWLhwIdzd3SEQCKCvr4/GjRtj9erVuH37doFAESGEEEIIIapo1qwZ+vXrB6FQiBUrVmi7OAVkZWXhzJkzAPLnPSSktEhPT8fatWsB5N8Yos35tMqyqJQoWETkB4GNGzTgAkUA8IPXD/ip6U843PNwsQaKAKCiaUW0rdoWAPA2/S0cTBwwf9w+OC//HeYdO0Kgrw9TfVO06jYO80fpItFaH7lxcXg3bx7K4T2rhBBCCCFlXrkMFgH5wyQsWbIEjx49Qnp6OlJTUxEeHo7Zs2fDwMBA5jKLFy8GYwyMMbk9DMSfK3uoe0d8YGAgGGOF6lVECCGEEEJK1vLly6Gnp4ddu3YhLi6uRNf96tUruRdahUIhJk+ezA2X7OvrW5JFI0ShDRs24NOnT2jatCkGDRqk7eKUWadfnuaGoDNv0VLiMysjKwyvOxy2xrYlUpbhdYcDACoYVsDWTltRyaxSgTRD6wxFVqUKWDxIBJGhPjJDQpBy6nSJlI8QQgghhKhO+UQohBBCCCGEEAm1a9fGzp078erVK7x58waOjo4ltu7ffvsNoaGhGDJkCJo1awZ7e3tkZWXh4cOH2LZtG+7evQsA6NixI3r06FFi5SJEGXNzcyxatAj9+vWjXkWFIGIi/HXnL+x+vAtbX+cHi0ybNtVqmZpUbIIdnXfA0dwRlc0qy0xjqm+K0W6j8Xf23/ivnQV6XPyEj7//DrO2PtBTYZ4rQgghhBBSMihYRAghhJBS7+PHj/j48aPayxkYGKBWrVrFUCJCgJEjR2pt3U+ePMGiRYvkfu7t7Y3Dhw/TBXlSqkyZMkXbRSizMnMz8fONn3E19iqqfAIqZAICQ0MY1a+v7aKhaSXlAauhdYZid8Ru7K+fjI7PK8Ew6h0+rFyJKqtWlUAJCSGEEEKIKihYRAghhJBSb+PGjViyZInayzk5OSEmJkbzBSJEi37++WfUqlUL/v7+iImJQUJCAnJzc2FjYwMvLy8MHjwYQ4YMgY5OuR1xmpCvSo4wB+P8xuFR4iPo6+hjnn43ACdh3KgRdOQMsV7amOqbYmTdkVh/fz129jDC5PUCpJ49B8ve38Cslbe2i0cIIYQQQkDBIkJIGaWJSXFHjx6N0aNHF70wRGNosmNCCFGudu3a+OWXX/DLL79ouyiEkBIQ/DYYjxIfwdzAHBud58Lkx9UQAjBt3kzbRVPLkDpDsOPxDgSYxWJMn/YwOnUF8T/9hIrz58G8SxfqCUkIIYQQomV0uyEhhBBCSr3FixeDMab2g3oVEUIIKetuvL0BABghbArjmcshTEyEYZ06sBoyRMslU4+loSX61+wPANjaIh0G1atDmJiIt9/NQuzYsciOitJyCQkhhBBCvm4ULCKEEEIIIYQQQkohxhhuvL0BtxgR2q4OhCg1FcYNG8Jpz27oVqig7eKpbWS9kdAV6CIo6Q6yt/0G2ylTIDAwQMbNW4jq/Q3SrlzRdhEJIYQQQr5aFCwihBBCCCGEEEJKoZfJLyGKe4efj4kg+JIN05YtUG3HduhaWmq7aIVS2awyurp0BQDsfnEIdjOmw/XCeZi2bg3k5eHDipVgublaLiUhhBBCyNeJgkWEEEIIIYQQQkgpdOPtDfS9JYJBHmDs1RiOmzZBx9RU28UqkjFuYwAAfq/9EJcWB4OqVeG47m/o2toiNy4OyadPa7eAhBBCCCFfKQoWEUIIIYQQQgghpdDDR1fg84gBAOxnz4aOoaGWS1R0ta1ro2XllhAyIZaFLMNfd/7CL+FLENTWFgDwadNmsJwciWWotxEhhBBCSPGjYBEhhBBCCCGEEFLKpOWkofrZB9ATAbpNGsGkUSNtF0ljRruNBgAEvQ3Czsc7cSHqAtY7v0CymQC58fFIPnUaQP6cTYnbtiGqeQtUuHlTewUmhBBCCPkK6Gm7AIQQQgghhBBCCJEU+ugifB4KAQBVpn+n3cJoWPNKzTGh/gREJUfBwdQBFU0qIig+CKea38IYf4b4Detg2bsXPv7xB5IOHgIAmEZEarnUhBBCCCHlGwWLCCGEEEIIIYSQUiZt515UFgKfajugbtOm2i6ORgkEAkxvNF3ivSF1huD7vOn4fDsI1h8/4UnPbtB5+4H73PDDB+lsCCGEEEKIBtEwdIQQQgghhBBCSCmS+/EjXK69BAAYjB2u5dKUDCM9I6zp/A8edK0OAPmBIgMDVFq+HACgl5YGYUqKNotICCGEEFKuUbCIEEIIIYQQQggpRV5u/gsGecDLKjpo0H2UtotTYoz0jDD65wN4V8kQySbAg/l9UKFfX+hVqgQAyHn1SsslJIQQQggpvyhYRAghhBBCCCGElBK5KcnIO3kBAPCstwcM9Qy1XKKSZWJqiYxNizBxui62IQi5olwYuLoCAHJeRWm5dIQQQggh5RcFiwghhBBCCCGEEC3LysvC0WdHsW5hT+h9ycUbO8Cl6wBtF0srutTsARtTO3zM+ojLMZdhUCN/aLqcVy+1XDJCCCGEkPKLgkWEEEIIIYQQQogWxabFosfJHlgZ9CtaBH0CAKT0b4c+NftquWTaYaBrgEG1BwEADjw5AIPq4mAR9SwihBBCCCkuFCwihBBCCCGEEEK0hDGGZbeXISErAT1fWMAqA9B1cMDAKWuhq6Or7eJpzcBaA6Gvo4+HiQ/xxoYBoDmLCCGEEEKKEwWLCCGEkBK0b98+tGnTBlZWVtDR0YFAIEDDhg21XSyFBAIBBAIBFi9eXOg8goKCoKurC4FAgMDAQI2VraSMHj0aAoEAzs7O2i5KuVNW9+2nT59gbW0NgUCAsLAwjeUbGBjInXNl8VwhXzdF9ZcxBg8PDwgEAuzatUs7BSyl/N/4Izg+GAYCPQy7awIAsBk9GgIDAy2XTLtsjW3R3aU7AOBo7i0AgDAhAcKUFG0WixBCCCGk3KJgESEliP8Hmv/Q09ODtbU1XFxc0KZNG8yaNQsnTpxATk6OtotMCNGgOXPmYNSoUbhx4waSk5PBGNN2kQgpF7Kzs3H79m38888/GDlyJGrXrs0FYwUCQbGsc+HChUhKSkL37t3RpEmTYlkHIeWJQCDAvHnzAADz5s1DRkaGlktUOmTkZmBl6EoAwI9f2oG9eQsdc3NUGDhQyyUrHUbUGwEAuPjxGrItLQAA2dS7iBBCCCGkWFCwiJBSQCgUIikpCTExMbhx4wbWrl2LAQMGwNHREUuXLkVeXp62i0hIobVt2xYCgQBt27bVdlHUouneDrGxsVizZg0AoHnz5jh//jwePHiAR48e4cSJExpZR1m2ePHiYr2wT8q3SZMmoUWLFpgxYwb279+P58+fF2sw9vXr19i2bRuA/KARISUtJiaGazN3796t7eKobNCgQahduzbevXuHDRs2aLs4pcKm+5vwMfMjHM0c0fTKWwCA1dCh0DUz1XLJSoc61nXQ2KEx8lge3tvpAwCyX7zUcqkIIYQQQsonPW0XgJCv1eTJkzFlyhTudXp6OpKSkvDw4UNcuXIF/v7+SEhIwIIFC3Du3DmcP38ednZ2WiwxIaQoAgICIBQKAQDbt2+Hm5ublktUslq1agWhUAgdHbpPhWgePzBkbm4OT09PPHv2DO/fvy+W9f3+++/Izc2Ft7c3mjVrptG827ZtS70OSbmlo6ODWbNmYdKkSVi9ejVmzJgBIyMjbRdLa54nPcf+J/sBAAsthiD7wUoI9PVhPXKElktWugyvOxx3PtzBU+t0OAHIfkXBIkIIIYSQ4kBXbAjREnt7e7i7u3OP5s2bo1u3bpg7dy78/Pzw+PFjNGrUCAAQGhqKvn370rB0hJRhb9++5Z7XqlVLiyUhpPzp1q0bdu3ahcePHyM5ORmBgYGoXbt2sawrOTkZe/fuBQCMGEEXdAlR18CBA6Gvr4+EhAQcPnxY28XRqr/u/AUhE6KTUye43HoNADDv1hV6dIOYhLZV28LGyAZRtrkAgJyXFCwihBBCCCkOFCwipJSqV68egoODuYBRcHAwDddBSBmWnZ3NPdfX19diSQgpfwYPHozRo0fDzc2t2HuvHT58GBkZGdDX18dAmlOEELVZW1uja9euAIAdO3ZouTTak5mbiZB3IQCAqe4TkfrvfwAAy97faLNYpZK+jj56u/ZGnG3+ULU0DB0hhBBCSPGgYBEhpZixsTH27dvHzeGxevVq5Obmyk3//v17zJs3D15eXrC2toahoSGqVq2KQYMGwd/fX+5yssa9P3nyJDp37gx7e3uYmpqiQYMG+OeffyTWzxjDwYMH0bZtW9jb28PExASenp7YvHmzwiF0MjIycOTIEYwbNw4NGzaEpaUl9PX1YWdnBx8fH6xevRrp6ekK9424vIsXLwYA+Pv7o3fv3qhUqRKMjIzg6uqKadOmSfTmkLZ7924un5iYGGRnZ2P16tXw9PSEpaUlLCws0KxZM2zcuJEbPkwRoVCIPXv2oGfPnqhcuTIMDQ1hY2ODVq1aYc2aNcjKypK7rPS8Pi9evMC0adNQs2ZNmJmZwcrKCjExMUrLIE0kEmH//v3o3r07KlasCAMDA9jZ2aFdu3bYuHGjwt5qqs7ZI70fpZe/du0aAODatWtcOvFDOm9NHFdV574JDAzk0gUGBhZYfs+ePQDy5yaRLrc68+o4OztDIBBgyZIlBbZT1n4TO3fuHDd3mbgutWjRAitXrlR4fsiq12vXrkXz5s1ha2srsX8LqzDHJSgoCLq6ugX2t7i8ivaPvH1UWNnZ2di6dSt69OiBKlWqwNDQEKampnBzc8O4ceNw6dIlpcOAJScnY+HChXBzc4OpqSkqVKiANm3a4MCBAwqXK472LywsDEOHDuXqSpUqVTBy5Eg8efJEbh7S9UQkEmHr1q1o2bIlrKysYGpqivr162PZsmXIzMxUWB6gaO1fWXP06FEA+e22jY2NwrRXr17F0KFD4eLiAmNjY5iYmMDJyQnNmzfHDz/8gKtXrxZYRl7bJO3NmzeYPHkyXFxcYGRkhMqVK6NPnz4ICAgAoLwt1EQ9UldwcDDGjRuH2rVrw8LCAgYGBnB0dETPnj2xYcMGJCcny122JNrEwrafAQEB8PX1haurK0xMTGBhYQEPDw/8+OOPiI+P1/i+EQgEcHFx4V6PGTOmQJspr52/e/cuJk2ahNq1a8PMzAympqaoXbs2Jk+ejOfPnystZ1ZWFpYvX44GDRrA1NQUNjY28Pb2xrZt2yASiVTaVgDo378/t92xsbEqL1ee3Pt4D7miXFQ2rQy7B3EQJidD184Wps01O7RledGvRj/E2eY/z0tIgDAlRbsFIoQQQggpjxgpF1JSUhgAlpKSotZyWVlZLDIykmVlZRVTybRLKBSypKQkJhQKtV0UxhhjAQEBDAADwBYtWqTycp07d+aWCw4Olplm//79zNTUlEsn6zF27FiWm5tbYNno6Gguza5du9jkyZPl5tGvXz+Wl5fHvnz5wgYMGCA33fjx4+Vuj4+Pj8JyAmAuLi7syZMncvPg78fFixfLzcfS0pJdv35dZh67du3i0t29e5c1btxYbj5t2rRhaWlpcsvz+vVr1qBBA4XbVKNGDfbs2TOF+8THx4edPn1a5rF89eqV3PXL8unTJ+bt7a2wTHXr1mUxMTEyl/f19WUAmJOTk8L18PdjdHR0geUVPaTz1sRxXbRoEZdOEf75GBAQIHN5RQ9VOTk5Kc2Lv9+ysrJY3759FaavXLkyu3fvnsz18Y9HWFgYa9iwYYHl1Wl/GCv6cREKhezcuXMy9ze/vKruo6K4d+8ec3FxUXt9/PPh6dOnzNnZWe6yU6dOlbt+Tbd/GzZsYHp6ejLzMTExYdeuXZOZB3+/R0REsA4dOsgtT9OmTVl6errc8hS1/VO1rVEXf18Xlfj3RGZmJjM0NGQA2IIFCxQu89133yk91jY2NgWWk9c28V25coWZmZnJzFMgELBly5YpbQs1UY9UlZmZyYYOHap0f8hqm0qyTVS3/czKymJDhgxRWDZTU1N29uxZje4bVdpM6X2Zm5vLpkyZwgQCgdxl9PT02JYtW+SW9d27d6xu3bpyl+/SpQu7dOmS0vrLGGNPnz7l0m3dulVuOkXK+v+YP0L/YO673dnC4IUsduZ3LLJ2HfZ+xUptF6vUysnJYX3292HXm9RhkbXrsIw7d7RdJELUkpOTw06fPs1ycnK0XRRCCoXqMCnrvuY6rE7cQA+EkFKvY8eO8PPzAwDcuHEDLVu2lPj86NGjGDlyJBhj3B3+9erVg52dHWJiYrBjxw78+++/2LFjBywsLLBmzRq569q8eTNCQkLQvXt3jBs3Dk5OToiNjcWKFSsQEhKCkydPYteuXXj48CGOHz+OYcOGYdiwYahUqRJevHiBxYsX4+nTp9i2bRv69evHDTPCl5eXBw8PD/Tu3RteXl6oXLkyGGN4/fo1Tp06haNHjyI6Ohp9+vTB/fv3FU58fOHCBYSHh6N27dqYM2cO6tevj5SUFBw7dgzbtm1DSkoKevbsicePH6Nq1apy85k4cSLu3LmDwYMHw9fXF/b29nj+/Dn++usvhIWF4fr16xg5ciROnTpVYNlPnz6hVatWiI2NhaGhIcaPHw8fHx84OzsjPT0dfn5++Pvvv/Hy5Ut069YNd+/ehaWlpcxyvHnzBiNGjICJiQkWLFiA1q1bQyAQ4MaNGzAzM5NbfmlCoRA9e/bErVu3AAA+Pj6YNm0aXFxcEB8fj507d+L06dN48uQJOnTogPv376uVvyqWLVuGH374AWPGjEF4eDi8vLywa9cuiTQGBgYyl9XUcS2MKVOmYMCAAZg/fz7OnDmDypUr49KlS4XOz8/PDzk5Odi4cSM2bdoEAHj06JFEmipVqnDPfX19uXrWoEEDzJ49G3Xr1sXnz59x+PBh7N69G/Hx8ejQoQMePnwosay0sWPH4tGjRxg1ahQGDx6MihUr4s2bNzA0NCzUthTHcenTpw+8vLwU7h8ACrdTVU+ePEHr1q25Xgh9+/bFkCFD4OrqCqFQiOfPn8PPz0/meS6WmZmJXr164dOnT5g/fz46duwIMzMz3Lt3D0uWLEFcXBw2bNiAXr16oUuXLgWW12T7d+nSJYSGhsLDwwMzZ86Eh4cHsrKycOrUKfz999/IzMzEyJEj8eLFC7nnGgCMHz8et2/fhq+vLwYNGsTVk1WrVuHWrVsIDQ3F0qVLsWLFigLLarL9KwvCwsK4ISWbNGkiN9358+exdu1aAED9+vUxefJk1K1bF5aWlkhOTkZERAT8/f0RGhqqdhmioqLQu3dvZGRkQE9PD5MnT0afPn1gYWGBx48f448//sC8efPQrJlqvRM0VY/kEYlE+Oabb3D58mUAQM2aNTFlyhR4eXnBxMQE7969w82bN7keW9K01SYqS8sYw4ABA3DhwgUAQK9evTBo0CC4urpCR0cHoaGh+PPPP/HmzRsMGDAAwcHB8PLy0si+efToEeLj47k2ZunSpfjmm28k0tjb20u8njFjBtfGtmnTBqNHj+Z6Qj148ABr165FREQEJk6ciIoVK6J3794Sy+fl5aFnz55cT7POnTtj8uTJqFq1Kt68eYONGzfi0qVL+Pz5s9z9z1erVi1UqFABycnJuHbtGsaPH6/ScuXJ7Xe3AQAtLBog/Wp+71rL3r20WaRSr4lBE8TZPINtKkPmi2cw8fTUdpEIIYQQQsqXYg5ckRJCPYtkKy89i/z9/bnlvv32W4nPEhISmKWlJfeZrJ5DjDH2yy+/MABMR0eHPX36VOIzfs8iAOy7774rsHxGRgbXQ8LGxoYJBAK2du3aAunevXvHzM3NGQDWu3dvmWV5/vy5wu29fPky09HRYQDY9u3bZabhl9fT01Nmr5+9e/dyaQYOHFjgc+keDcuXLy+QJjc3l3Xp0oVLc+HChQJphg0bxt0VHxUVJbO8d+/e5XoL/fLLLwU+598BX7lyZfb69Wvus8LU4/Xr13P5jRo1iolEogJpxHUCAJszZ06Bz4vas0h623x8fJSWWxPHtag9i8Q03dtBlXKdP3+eS9OhQweWnZ1dIM3WrVu5NIMGDSrwuXS9lncOqaOox0VRzyIxVY9bUXh6enLt4KFDh+SmS0xMZJmZmRLv8XvKWVpassePHxdY7sWLF8zIyKhE27/u3bvLrCdLly7l0pw8ebLA59L1ZN++fQXSfPnyhbm7u3PtvqzvF020f2WpZ9HKlSu5PGNjY+WmHzlyJLdNinqlfvr0qcB7ytqmPn36cJ+fOnWqwOcZGRmsadOmEsdXFk3UI1X8/fffXB59+/ZlX758kZlOKBSyuLg4ifdKuk1UJ614vfr6+uy///6Tmebz58/Mzc2NAWDe3t4FPi/KvpHuFa6In5+f0l48WVlZrH379ly9lT7f+b8rJkyYIDOPb7/9VmL/KepZxBhj7dq1YwBYnTp1FKaTpyz/j0nMTGTuu92Z++7/Y+++w5q6/j+AvxP2FhBQFBEqAgoq4MAFatXWPSrOintVbV2trdb1035t1VpX3YqrTpyoVRRFHDhwI24QREFQWbJJzu+PmNsAmRAI0c/refKIueee+8m9JyfJOfec48Fe7t7GYlzd2LNu3aR+XyMiBQUF7ODhg2zVcG8W4+rGrs0cp+mQCFHJ53xHO/k0UBkm2u5zLsOq9BvQmkVEOYwBBdna+SjMUS29gnUqNEFyTYS0tLRi29atW4eMjAzUqlULa9euha6u9AGDCxYsQK1atSAUCrFjxw6Zx3JwcMCSJUtKPW9sbIxhw4YBEN1J3qJFC/zwww+l0tWoUQN9+vQBIBoFJY2Li4vM4wOikVTiO1qPHDkiNy0AbNy4UeqomKFDh6JLly4AgMOHDyM5OVlmHo0aNcLPP/9c6nldXV1s3rwZenp6AIC1a9cW2/7ixQvs27cPALBmzZpiawhI8vLywsSJEwGAWxdKlt9//x116tSRm0aRv//+GwBgY2ODNWvWSF2zYsGCBXBzcwMAbNq0ibtbvqpQx3XVNuLrpqenh6CgIKl38Y8ZMwYdO3YEIFpbLCkpSWZ+HTp0wKhRo9Qao7Zel9DQUNy6dQuA6A77gQMHykxrbW0NIyMjmdsXLlyIhg0blnq+Xr166N27NwDRGk3SqLP+MzQ0lFlOvv/+e+55WXWxWN++ffHtt9+Wet7AwACTJk0CIKr3Y2Jiim2viPqvqktMTOT+LjlyQ5K4/Ht7e8sdtWllZaXS8V+/fo2QkBAAQL9+/bjyJsnY2BgbN25UOk91lSNphEIhli5dCgCoXbs2duzYIXNkI5/PLzUqSJN1ory0jDH88ccfAETnSNooagCwtLTkXv/ly5fx9OlTblt5z40qfv/9dwBAz549Zb4mQ0NDrFmzBoBorT7x2ldi4u8/dnZ2+Ouvv6TmsXLlStjY2Cgdl/g9FBcXp3CduE/N9WTRqEI3KzcITonOtUWPniqtifg50uHpwK6BDwDg/cO7Go6GEEIIIeTTQ9PQEeUU5gD/s9d0FCrjA6im6k6zXgP6JuoPphwkG5qysrKKbTt27BgAoHv37nKnltLV1UXLli0RHBzMTU0mTd++fbmOkZIaN27M/T1gwACZeYjTpaWlIT09HdWqVZOZFgBSU1ORnp5erLNC3Nhw9678H4Kenp7w8fGRuX3kyJH4999/UVRUhPDwcJkNxMOGDZP5A7127dro3LkzTpw4gfDwcAgEAujo6AAQTcslEAhgbGzMNZTL4ufnhyVLluD169dISEiQ2iGkr6+PgIAAufko8vr1a26amP79+8PMzExqOl1dXYwYMQIzZ85EWloabt26hZYtW5br2OqiruuqTYqKinDhwgUAoul95E3jNmbMGJw9e5Z7/YMGDZKabsiQIWqNUZuvy/Hjx7m/p0yZUuZ8eDweBg8eLHO7j48P9u7di/fv31d4/depUyeZHRZmZmZwcXHBgwcPEBsbKzcfeeVE8nrHxsaiUaNG3P/VXf9pg9TUVACiDhl5U7LVrFkTABAREYHnz5/jiy++UMvxz58/D4FAAEDUQStL48aN0bhxY4VlCFBfOZLmzp07XAfbmDFjVJruVNN1ory0MTExeP78OQBRp508fn5+3N+RkZFch3F5zo0qMjMzER4eDgClppYryd3dHdWrV8fbt28RGRmJTp06AQCSkpK4zuL+/fvD2NhY6v6mpqbo378/18mniLizND8/H+np6bC0tFRqv09B5GvRd/F2+h7IuS7qdLfo3k2TIWkNH98+KNhyEWav0vH6w2vYm2rfb1RCCCGEkKqKRhYRogUkO4jMzc25vwUCAe7cuQMA2LBhA3g8ntxHcHAwAMi9479+/foyt0k2eiqbrmTnltjly5cxYMAAWFtbw9bWFvXr14enpyf32LRpEwDg7du3Mo8DyF8zAgCaN2/O/S1tHRRV88nOzi7WYBYVFQVAtI6Jrq6u3PPfvXt3bj9Z18DFxUXuGiXKiI6O5v5WtGaF5HbJ/TRNXddVm8TGxiInJweA+q6bZMO+Omjzdbl9+zYAoE6dOnB0dCxzPtWrVy822rMkyZEiFV3/iUcGKopFVhzK5CPv9ai7/tMG4vVYFDVqBwYGAhCNyPLw8MDAgQMRFBSEZ8+elev4ku93eR23AEqtjyOLusqRNOL3HQC0bdtWpX01XSfKSysu+wDQsmVLuWVfshNIsuyX59yo4vbt2xAKhQCA0aNHQ0dHR2684npHMlbJ+lyVzwFFJN9H2dnZSu+n7RhjiEwSdRb53i8EGINx06bQU8PafJ+D2h6+AACrD0ByrwA869QZzzp2QvqhwxqOjBBCCCFE+9HIIqIcPWPRiBstIxQKkZmVBXMzM/D5SvaN6km/W1KTJBsMJRvu3r9/j6KiIpXzEze+SCPrblEAxc6hsunEd0BLmj9/PhYsWKAoTABAbm6u3O3ypgECRNOliMlbdLms+aSkpMjdTxZZ10Add9VKxqfoddWoUUPqfpqmruuqTSriuqn7Lm1tvi7ielQ84qOs5NV9QOXWf8rGIi0OZfOR93rUXf9pA3FnvqJr8+WXX2LNmjX48ccfkZubi3379nFT9tWqVQvdu3fHhAkTio3YVYbkVLSKpvtSdjowdZUjaSS/v6j63tN0nSgvrTrKfnnOjSrUEasq10Lyc0ARyfeRrFHtn6KErAQkZyfDRKALs5NXIABg3qOHpsPSGnxTU+TUtYXxixQYvXqPQojKZ+qqVbDo3Qs8ZX/zEUIIIYSQUqiziCiHx6tyU7MpRSgE9ASi2LX4h4Pk3aeurq7c35INN6NHj5a6hpA08qbOqWhhYWFcQ6mzszNmzJiBNm3aoE6dOjAxMeHWXJo7dy4WLlyoMD91ze1e1nzE16B69eql5veXR9baHuLp7dRFW+e+19a41UVdr5/KU9Wi7vpP09Rd/2kDcQdMeno6GGNy3xMTJ05EQEAAdu/ejTNnzuDy5cvIyMjAq1evsGHDBmzcuBGzZs3CokWLKit8raWJOlFeWsnvXyEhIahbt65SeSrqaKkIkrH+9ddf6NChg1I3UMnqLFPn54BkJ5SFhYXa8q3qrr6+CgAYd8sagtevoFuzJix6dFewF5Fkt2UDftr0DYQ6fPzVcRUyv5+JouRk5N68CWMFo98IIYQQQohs1FlEiBY4c+YM93ebNm24vyVHGTHG4OHhUalxlYV4eiVLS0tcvXpV5p3Pyo5KePPmjdLb5S0k/ubNG7lT68nKRzwdVVZWFtzd3dXeOF8WkvEpOj+S08yUPD/ixiTx9DWyVMTUMeW5rpKNYEKhUGajWFWb8kZd160iqev9pgnVq1cHIFp7Q1PUXf9pWlWs/yqa+JoJhUJkZGQoXJPK1tYWU6ZMwZQpUyAUCnHnzh0cPnwYa9asQXp6On777Tc0a9YMvXr1Uur4kg34qampqCVn2irx+kqaJH7fAaL3nqIp7yRV5TpRcirKatWqlen7V3nOjSokYzUyMoKHh4fyo+0/kix3qnwOKCIeKWdra1vuKXi1ydWkq6j1lqH5edHnUY3Zs8BXMMKPFFe7lhuKfBri4fuHuGL9Hi07dULGoUPIOHGCOosIIYQQQspBe4daEPKZiI6ORlhYGADAwcGh2BoE+vr6aNiwIQDRGhja4MGDBwCA9u3by50iR3I9AHlu3Lih9HZ5jTnK5mNsbAxnZ2fueS8vLwCixZmVjbmiSb7Oa9euyU17/fp1qfsBooXNAdEd9PI8efJE7vay3IVcnusqjhsoPmVTSRURd3k4Oztz00GV57pVJHW936Sp6PPt7e0NAEhISEB8fHyFHksWddd/mlYV67+KJlmuFdUhJfH5fHh7e2PhwoXc5zoA7N+/X+k8xJ/5AHDz5k25aavCNRG/7wAgIiJCpX2rcp0oLvtA2b9/lefcAMrXmU2aNOHSKjqPsnh6enJ/q/I5oIj4PSRZrj91AqEA15KuYtRpIfgCIUzbt4fpl19qOiyt9GUd0XkLSwiDebeuAICsU6fBCgs1GRYhhBBCiFajziJCqrDc3FwEBgaCMQYAmDFjBjdNkVjPnj0BAI8ePcLp06crPUZViddYkjeq4/bt20o3aNy/f7/YNH0lbd26FYBoOpl27drJTLdz507uPJf06tUrhIaGAgDatWtX7O75Hj16cI0wK1asUCrmimZvbw93d3cAokbIDx8+SE0nEAiwbds2AKK7hiUbroD/porKysrC48ePpeZRUFCAgwcPyo1HfLdwfn6+0q+hPNdVcooreY2le/fulRtDWeIuD11dXfj7+wMQjSZMTEyUmXbz5s3cPvLKtbqp6/0mjeRd5RVxzntIrAfx119/qT1/Zai7/tO0qlj/VbS2bdtyf6vSKF6St7c3N1pDcu0aRdq1a8eNCtm5c6fMdHfv3sXdu3fLHJ+6NG7cGA4ODgBE9ZaszyNpqnKd6O3tjdq1awMANm7ciLy8PJXzKM+5AZSvM21sbODr6wsACA4OLtOIM8nvFQcOHJC5Zld2drbSnZ+ZmZncd4sWLVqoHJO2upZ8DU1uZcIjgYFnZIQav86mKV7LSNxZdDXpKphXQ+hYW0OQno7sK1c0HBkhhBBCiPaiziJCqqiYmBi0adOGa5j19/fHhAkTSqX74YcfYGpqCgAYMWIEd+e6LCdOnMC9e/fUH7CSXFxcAACXLl3Cs2fPSm1PTU3F0KFDVcpz7NixUhtfd+/ejZMnTwIAevfuLXcB6Tt37mDp0qWlni8qKsKYMWNQUFAAAKWugaurKwICAgCIOh+WL18uN9a4uDjs2bNH/gtSg4kTJwIQnc/vv/9eapoFCxYgJiYGADBmzBgYGBgU2y5upAOAP//8U2oe06ZNw6tXr+TGIj7vsbGxMjvkpCnrdW3VqhXXqfrXX39JPebSpUuL3YkuL+6UlBRkZWUpHXd5iK9bQUEBRo0ahUIpd8du3bqV67zs27dvhS6MLo063m/SSKZ//vx5+YKUomPHjvDx8QEArF69Wm5n4bt372Q2hpZHRdR/mlRV67+K5ODgAEdHRwCQW4fs27dPbhmKioriRj6qsoZT7dq10a1bNwCihv8jR46USpObm4uxY8cqnWdF4vP5+PHHHwEAiYmJCAwM5D5PSxIKhXj9+nWx56pqncjn8zFr1iwAos+2wMBAuR02mZmZWLNmTak8ynNurK2tuTUoFdWZv/76KwDRzR/9+/eXO2I4Pz8ff//9d6kOMPH3n+TkZEyfPl3qvlOnTkVKSorcWMSioqK4z+fOnTsrtY+2i0mIwt613yPwnGh63+rfTYCenKkkiXxfVPsCjuaOKBQW4vKbqzDv0gUAkHHiBJemKDUVr6bPQObH7yeEEEIIIUQ+WrOIEA1JSUlBdHQ09//s7GykpaXh3r17CAsLw5kzZ7gf0b6+vggODoaenl6pfOzs7LB9+3b069cPSUlJaNq0KYYPH44uXbqgdu3aKCwsRGJiIq5fv47g4GDExsYiJCQEjRo1qrTXKikwMBAhISHIzs6Gv78/fv75Z64B98qVK1i+fDmSk5PRsmVLREZGKsyvadOmiIqKQtOmTTFz5kx4enoiIyMDwcHB2LBhAwDRtGTLli1TmM/MmTNx584dBAYGwtbWFk+fPsXy5cu5BsEePXqge/fSCxCvW7cOUVFRiI2NxfTp03H06FEEBgaiYcOGMDAwwLt373D37l2cOnUK586dQ58+fTBo0CBVT51Kxo8fj3/++QeRkZEICgpCfHw8vvvuOzg5OSEpKQlbt27FoUOHAABffPEF5syZUyoPLy8v7jps2rQJBQUFGDZsGCwsLPD06VNs3LgR586dQ6tWrXBFzl2crVq1QlBQEFJSUjBt2jR8++233ELWenp6XMOrpPJcV1tbWwQEBGDPnj04ffo0evbsiYkTJ8LOzg4JCQnYuXMnDh48qFTcgKiRbvz48Zg8eXKxNSbq1asnc9+y6tatGwICAnDgwAGEhobC19cX06ZNg5ubG9LS0rB3715u9I6VlZXCxnl1U9f7TRrx+QZEDY6zZ89GzZo1uTuu69atW2pkpap27tyJ5s2b48OHDxg0aBAOHDiAgQMHwtnZGQKBAM+ePUNoaCiCg4MRHR2t9KL1ylJ3/VcVVJX6Lzk5GadOnSr1nJh4FKVYmzZtyvwe7tWrF1atWoXz58+DMSZ1VMDMmTMxfvx49OrVC35+fqhfvz5MTEzw7t07XLp0CatXrwYgGoU3evRolY6/fPlyhIWFIScnBwEBAZgwYQL69OkDc3NzREdHY8mSJYiJiUGzZs3KNfpJXSZOnIiQkBCcOXMGhw8fhqenJ7777js0bdoUxsbGSE5OxtWrV7Fnzx4MHjwY8+fP5/atynXi+PHjudd04MAB3Lp1C+PGjUPz5s1hYWGBzMxMPHr0COHh4Th27BgMDQ0xadIktZ0bXV1dNGvWDJcvX8bWrVvh5eWFJk2acN8VraysuPWbunbtiu+//x6rVq1CREQE3N3dMX78eLRp0wbW1tbIzs7Gs2fPcPHiRRw6dAhpaWkYNmxYsVgnTJiAoKAg3L59G+vWrUNcXBzGjx8PBwcHvHz5EmvXrkVoaCj3OaGIeCrG6tWrF1uP81P04dJlvNy8FkU3bmGCQPScXj1nWJc4x0Q1PB4PHep0QFB0EMISwuDXbTDSdu3Ch7NhEObmAkIhXo6fgLwHD5Bz4wbMunShUVwVTMiEWH93PZrYNEGrWq0U70AIIYSQqoeRT0JGRgYDwDIyMlTaLzc3l8XExLDc3NwKikyzBAIBS0tLYwKBQNOhMMYYO3/+PAOg9MPGxob99ttvrLCwUGHex44dY1ZWVgrz5PP57Ny5c8X2jYuL47YHBQUpFf/58+dlpgsKCuLSxcXFldo+YsQImfHp6OiwFStWsHnz5nHPSSPeNm/evGJpSz7Mzc1ZeHi4wjhv3brFvLy8ZObTunVrlpmZKfM1JyUlsbZt2yp1XUeMGFFqf39/fwaA+fv7l9pW1nL87t071rp1a7mxuLu7sxcvXsjM4+HDh8zW1lbm/jNmzFB4vbOyspizs7PU/R0dHYulVcd1ZYyx5ORk5uLiInP/gQMHsrNnz8otzwKBgPn6+srMQ1WKyrRYbm4u69Onj9zrZm9vz27fvi11f0XXoyzKe10EAgELCQlRWH/0799fZt7qei1RUVHMwcFB4fu05PGGDRsmtcyWVNn1nzzy6hVly4kynw/lrf+UPbfyqPr5Ku+zThrJevj+/ftcPhcuXJCa3tHRUWEMBgYGUuNQ5rM2NDSUmZiYyMx73rx5bM6cOQwAMzQ0lJqHOsqRsrKzs1m/fv0UnhNpsVRmnahq/VlQUMAmTJjAeDyewtfm5OSk9nNz/Phxmccumb6oqIj98ssvTFdXV+GxTExMWE5OTqnjvXr1irm6usrcr3Pnzuz06dMKyy9jjDk5OTEAbOLEiQrPsyza8DsmKzycxTRowGJc3ViMqxu72KYxe/n7/1jBmzeaDk3rFBQUsCNHjrCCggLuuTspd5jHNg/W4p8WLK8wjz3t8CWLcXVj6cdCWPzYsdx5j3F1Y3lPn2ow+s9DxMsI5rHNg/U92lfToVRJ0sowIdqEyjDRdp9zGVal34CmoSOkCuDz+bCwsECdOnXQtm1bTJkyBQcPHkRiYiJmzZql1N30PXr0QFxcHJYtW4YOHTrAzs4Oenp6MDIygpOTE7p3747ly5fjxYsXaN++fSW8Ktm2bt2KnTt3om3btjAzM4OBgQEcHR0xdOhQXLlyBT/88INK+c2fPx+nTp1Ct27dYGdnB319fdStWxffffcdHjx4UGw6NVksLS1x5coVLF68GE2aNIGZmRlMTU3RrFkzrF69GhcuXICZmZnM/WvUqIGIiAgcP34cQ4YM4Rbm1tPTg42NDVq1aoXp06fjwoUL3F3QFc3KygoRERHYsWMHvv76a65MWFtbo127dlizZg3u3LkjdWSPmJubG27duoUJEybA0dER+vr6sLGxwddff40TJ05InbqvJFNTU+66uru7cwuWK1Ke62pnZ4dr165h5syZcHFxgYGBAaysrODn54ddu3Zhz549xdaekobP5yM0NBS//vorGjduDFNT00q5I9XQ0BCHDh3CsWPH0LdvX9jb20NfXx+WlpZo0aIFFi9ejMePH6NJkyYVHos06ni/ybJr1y4sWbKEuzNfvDaLOvn4+ODx48dYtWoVOnToAFtbW+jq6sLU1BSenp4YO3YswsLC1D6qSEzd9V9VUBXrv4rk4eGBli1bAhBNvyjN+fPnsXLlSnzzzTfw9PSEjY0NdHV1YW5uDi8vL8yYMQMxMTEYPnx4mWLo1KkToqOjMW7cOK5utrOzQ7du3XDq1CnMnz8fmZmZAMCN5NQkY2NjHDhwAOfOncPQoUPh5OQEIyMj6Ovrw8HBAT169MCGDRukTm9WletEPT09rF27Fnfv3sXkyZPh6ekJCwsL6OjowMLCAk2aNMGoUaMQHByMhw8fSs2jPOemW7duCAsLQ69evWBvby91BLoYj8fDTz/9hEePHuGnn35C06ZNYWVlBR0dHZiZmaFBgwYYMmQItm/fjqSkJBgZGZXKw97eHrdv38aiRYvg4eEBIyMjVKtWDb6+vli7di3+/fdfbmo8eSIjIxEXFweg9PS+n5Kc27eR+MMUQCBEpBsPf//khsZhF1F75i/Qs7XVdHifBM/qnrA1skV2YTauJV+D+cdpOpPmzkX2hQjwDA2h/3GqT1rLqOLdj43EzP0C+FxUbjpKQgghhFQ9PMZUWECCVFmZmZmwsLBARkYGzM3Nld4vLy8PcXFxcHJyKrZQ7qdCKBQiMzMT5ubmFdLoSDRH3Gg/b968YtOyqGLbtm0YMWIEANFaGhXVOFxen1M5Vsd1JVXP51SGyaepZBnev38/BgwYAEtLSyQkJHBrB1YlHTt2RFhYGNq0aYOLFy9qOhyiYVWpHh49ejS2bNmCr776qtT0kaqoyr9j8p8+xYtvh0KYkYFbzjws66eDs4PCYW1krenQtFZhYSFOnjyJrl27FusYXXR1EfY93oeWNVviT4fvkdhHtJYeeDzUXr0KBfHxSFm6DKb+/nDYsF5D0X8etk/siOZhr/DGRg/tLmpujdyqSlYZJkRbUBkm2u5zLsOq9BtQiw0hhBBCCCEqCAgIgI+PD9LS0rBmzRpNh1PK69evERERAUC07iEhVUVCQgJ27NgBAFiwYIGGo6kYhSkpSBg9BsKMDBQ0cMJfffioa12POooqSF+XvtDl6yIyKRITXyyBXgM3AIDd7Nkw69gRJh/XRMy+cQOsoECToX7S8t+monHEKwAAX0j3IxNCCCHaijqLCCGEEEIIUQGPx8Mff/wBAFi+fDmys7Mr9fjPnj2TuS03NxfDhw9HYWEhACAwMLCywiJEocWLF6OwsBABAQFo0aKFpsOpEGl79qDozRvof/EFIr5vg3x9HprYNtF0WJ+sBtYNsKHjBpjpmeF2ym3M6Z0Ho6BVsPp2CADAwNUVOlZWYDk5yL17V8PRfrpi1y2HgehjBzzqLCKEEEK0luKFUAghhBBCCCHFfPnll1i1ahXevXuH+Ph4NGjQoNKOPXr0aGRnZ6N///7w8fGBlZUVsrKyEBUVhbVr13KdSaNGjYKnp2elxUWIPIwxODo6Yt68eRg5cqSmw6kw2RdEo/qsR4/GjdxDAIAmNk00GNGnr3nN5tjRZQe+C/sO0dmJGJawCCu+qA4vWy/w+HyYtGyJzBMn8OHKFRg3a6bpcD85Re/eQRh8grsTmUd9RYQQQojWos4iQgghhFR5KSkpSElRfcFkfX191K9fvwIiIgSYPHmyxo4dFRWFqKgomdv79OmD1atXV2JEhMjH4/Hw888/azqMClWYkoK8mBgAgH7rFnhweiEA0MiiSlDPsh7+6foPJoZNxMP3DzHy9EjMazkPvev1hkmrVsg8cQIvw45jb1seJjSeAD2dz2utgor0bstW8PML8cEQMM2jziJCCCFEm1FnESGEEEKqvLVr15ZpfQtHR0e8ePFC/QERokHLly/H4cOHce7cOSQmJiI1NRWMMdja2sLX1xfDhg1D165dNR0mIZ+d7IsXAQCGnp54yktBgbAAlgaWqGNWR8ORfR5sjG2w7ettmH1pNs4mnMWcy3PwLO0ZbKz4aA7A8Gkidl/fCCcLJ/T4ooemw/0kFL17h7TduwEAx5vzMTBCCB6j3iJCCCFEW1FnESFEKzE1/AgZPnw4hg8fXv5giNqo47oSQsinztvbG97e3li4cKGmQyGESPjwcQo6Uz8/RKTcAQA0tm0MHo+nwag+L8Z6xviz3Z9Ye2ctNtzbgO0x2wEAy62B2u+AhgkMT9OeajjKT8f7oCCwvDw8rQncrMfDwAgaWUQIIYRoM77iJIQQQgghmjV//nwwxlR+0KgiQgghlYEVFiL78mUAgGk7f9xNvQuA1ivSBD6Pj0lek7DEbwmMdY1R37I+TFu3BgA0imN4kv5EwxF+OrKv3wAAnGzGh46O6F5knpB6iwghhBBtRSOLCCGEEEIIIYSQMmKM4UNUFITZ2dCxsoJBgwa4ffA2AFqvSJO6OHVBJ8dO0OXrIsv0PBKPXUajOIaQtGeaDu2TwfLyAAAZJoCzZT0AD2hkESGEEKLFaGQRIYQQQgghhBBSBowxDD81HDu2/AAAMG3bFq9zkvA29y10+bpoaN1QwxF+3nT5ovtjjZs3B3R1UCMdEL5ORmZBpmYD+0Sw/HwAQKEOD27VGwAA+NRZRAghhGgt6iwihBBCCCGEEELK4NH7R7iVcgsuj7IAACb+friTegcA0MCqAQx1DTUYHRHTMTWBkWcjAIBbIsPz9OcajujTIBR3FukCbtXdAQA8WoOUEEII0VrUWUQIIYQQQgghhJTBmfgzsElncHgLCHjAVYc83Em5AwBobNtYs8GRYgzq1QMA1HjP8DTtqYaj+TQU5eUAAPQMjVHXwgkAaBo6QgghRIvRmkWEEEIIIYQQQkgZnE04C6/notbxx7WBFQ/+grm+OQCgiU0TDUZGStKvWxcAYP8e1FmkJoL8POgAcLJxhY6OHgDqLCKEEEK0GY0sIoQQQgghhBBCVPQ8/TniMuLgEyv6/0sPW6TnpyMhKwEA0MS2ieaCI6XoO9UFANRMY3iW/kyzwXwqCosAAG41PMHT1QEA8IWaDIgQQggh5UGdRYQQQgghhBBCiIrOxJ9BtQ8Mni9E/+886Gfo8EQN5vYm9rA1ttVccKQU8ciimu+BZ2lPwWhtnXJhQiF0ikQ9Q862ruDzRRPX0MgiQgghRHtRZxEhhBBCCCGEEKKis/Fn0StSCN0iIYy8veHe7GuM9BgJAGhp31LD0ZGS9GvXBvh8GBUAeJ+Ot7lvNR2SVmMFBdzfRiYW4Ot8HFlEnUWEEEKI1qI1iwghhBBCCCGEEBW8zHyJNy8fodMdUcu4zaSJ4PF4mOQ1Cc1rNoeHtYeGIyQl8fT1oVe7NgoTElDzPfA0/SlsjG00HZbWYvn53N8GhqbgFYnuReYzgDEGHo+nqdAIIYQQUkY0sogQQgghhBBCCFHBmYQz6BUphH4RYOTtDeOWopFEfB4fvjV9YapvquEIiTT6dR0BAPbvGZ6l0bpF5SH82Fkk4AEGBsbQ0dUD8LGzCDS8iBBCCNFG1FlECCGEEEIIIYSo4Or9f0uNKiJV33/rFjE8TX+q2WC0nHgaukJdwFDHEDy+DretSFikqbAIIYQQUg7UWUQIIYQQQgghhCgpOTsZ9U88gH4RoNvEkxtVRKq+/zqLQCOLykk8DV2hDmCgawAdnf86i5hAoKmwCCGEEFIOn2xnUVZWFubPnw9PT0+YmprCwsICzZo1w59//okCiYUYVZGeno6jR49i7ty56N69O2rWrAkejwcej4dt27Yp3P/Zs2f4888/0aNHDzg6OsLAwAAmJiaoX78+Ro0ahZs3b5YpLkIIIYQQQgghlePCnSPcqCL776fQqCItYiAxsuh5xnMImVCzAWkxYV4eANHIIgMdA/D5/y2JLRTQyCJCCCFEG32SnUXx8fFo1KgRFixYgOjoaDDGkJ+fj6ioKMyYMQO+vr5IS0tTOd8jR46gd+/eWLhwIU6cOIHk5GSl9718+TJcXFwwY8YMHD9+HAkJCTAwMEBRURGePn2KrVu3onnz5pg7d67KcRFCCNEeO3fuhJ+fHywtLcHn88Hj8dCkSRNNhyWX+MaI+fPnlzmPS5cuQUdHBzweD+Hh4WqLrbIMHz4cPB4PdT82MhH10dZz++7dO1hZWYHH4+HGjRtqyzc8PJx7z2nje4V83uSVX8YYPD09wePxEBQUpJkA1aTg6EnoFwGZrvY0qkjLiEcW1UgD8gty8OrDK80GpMUK83IAAAXiziJd6iwihBBCtN0n11lUVFSEHj164MWLF6hZsybOnDmD7Oxs5OTkYO/evTAzM8Pt27fx7bfflin/GjVqoEuXLpg9ezYOHTqk9H6FhYXQ0dFB7969ceDAAbx9+xaZmZnIycnB9evX0aZNGwiFQixcuBBbtmwpU2yk6pP8AS350NXVhZWVFZycnODn54epU6fi4MGDZR4FRwipmn766ScEBgbi4sWLSE9PB2O0+C8h6vDmzRts3rwZgwcPRoMGDWBqagp9fX3UrFkTX3/9NTZu3Ijc3Fy1HnPu3LlIS0tD165d0axZM7XmTciniMfjYfbs2QCA2bNnIzs7W8MRlZ3howQAgMFXHWhUkZbRrVEDPAMD6AoBmwzgaRqtW1RW+XkfAPy3ZlGxkUVCGrFFCCGEaKNPrrNo+/btuH//PgDg4MGD6NixIwCAz+djwIAB2LBhAwDg5MmTCAsLUynvoUOHIikpCSdPnsSiRYvQp08fpfetV68eHj58iMOHD6Nfv36wtrYGAOjo6KBZs2YICwtDo0aNAACLFy9WKS6i/QQCAdLS0vDixQtcvHgRK1asQL9+/VC7dm0sWrQIRUV0ZxbRXu3atQOPx0O7du00HYpK1D3a4eXLl1i+fDkAwNfXF8ePH8fdu3dx//59HDx4UC3H0Gbz58/nOtAJUcWmTZtQq1YtjBkzBnv27MHDhw+RnZ2NwsJCJCcn4/Tp0xg3bhwaN26Me/fuqeWY8fHx2LRpEwDQqHCiES9evFBpOuyqon///nB1dUVSUhL+/vtvTYdTJsnZyaj1SrRWS51mHTQcDVEVj8+HvqMjANFUdM/Sad2isirIEXX4FuryoMvXBZ//35pFAmGhpsIihBBCSDl8kp1FANC+fXu0lDIlwMCBA+Hk5AQA2LFjh0p5Sy7YqKratWvDxcVF5nZ9fX1utNPz58/LNE0e0S4TJkzA/fv3uUdkZCROnjyJ33//HZ06dQKPx0NqairmzJmD1q1bIzU1VdMhE0LK4fz58xB8XOx38+bN6NatGxo1agQPDw988cUXGo6u4rVp0wYCgQCMMa3rOCRV25s3byAQCKCvr4++ffti/fr1uHDhAm7duoUDBw6gc+fOAICnT5+iY8eOSExMLPcx//jjDxQWFqJ169Zo0aJFufOT1K5dOzDG6L1CPkl8Ph9Tp04FACxbtgx5H9c80SbRjyJgmQ0IeUA1jyaaDoeUwX+dRcCzNOosKquCjyOLBLofZ8yQaC9hRQJNhUUIIYSQcvikOotycnJw+fJlAECXLl2kpuHxePj6668BAKGhoZUWmzIMDQ25v8UNiuTTZWtrCw8PD+7h6+uLLl26YObMmQgNDUV0dDS8vLwAANevX0efPn1oWjpCtNirV//NiV+/fn0NRkLIp8XExAQzZ85EYmIiDh48iHHjxsHPzw9eXl7o168fTp8+jWnTpgEAUlNTyz0SKD09nbvhqKzTGhPyOQsICICenh5SU1Oxd+9eTYejstdRFwEAWbUswDcy0nA0pCzE6xbZv2e4k3oH+YJ8zQakpcRrFhXpiTqJdHX0uG1CIc2MQQghhGijT6qz6OHDh9zcuB4eHjLTibclJyfj/fv3lRKbMsSLwNasWZObpo58vho0aIDLly9zHUaXL1/W2uk6CCFAfv5/DRF6enpyUhJCVDF16lT8/vvvsLGxkZlm8eLFqFmzJgDg0KFD5VpLYe/evcjOzoaenh4CAgLKnA8hnysrKyvu5j1tXKs178EDAADPtZ6GIyFlJe4sqpOui6TsJKy6tUqzAWmpwlxRZ5FQT9SsJDmySEg3vxJCCCFa6ZPqLHr9+jX3d61atWSmk9wmuY8mRUZG4siRIwCA0aNHK1yzIT8/H5mZmcUeAFBYWKjygzEGoVD4ST7Ei8dXpdcopkxMBgYG2L59O1celi1bhvz8fJnpX79+jVmzZqFp06awsrKCgYEBHBwcEBAQgNDQUJn7xcbGcvPeb926FUKhEMHBwejUqRNsbW1hYmKCxo0bY9WqVcWOLxAIsGvXLrRr1w62trYwNjaGt7c31q5dC4FAIPN4WVlZ2LNnD0aNGoUmTZrAwsICenp6sLGxgb+/P5YuXYrMzEy550Yc77x58yAUChEaGooePXqgZs2aMDQ0hLOzMyZOnIiXL1/KzGPr1q1cPrGxscjNzcXSpUvh7e0NCwsLmJubo0WLFvj7779RWFio8HoVFhYiKCgI3bp1g729PQwMDGBtbY02bdrgzz//RHZ2tsx9Jdf1EQqFePz4MSZOnAgXFxeYmprC0tIScXFxKpe3oqIi7NixA126dEGNGjWgr68PGxsbtG/fHn///Tfy8vJk7jts2DBuzR55xyh5Hkvuf+HCBQDAhQsXuHTiR8m81XFd582bx+UjL+5z585x6c6dO1dqf/G0pvHx8aXiVpS35KNu3brg8XhYsGAB9/4vmZfkeRM/jh49im+++Qa1a9fmylLLli2xePFiue8PaeX6r7/+gq+vL6pXr17s/Cr7KFlvqXpdGGO4dOkSdHR0Sp1vcbzyzo+sc1TWR25uLtavX4+uXbuiVq1aMDAwgImJCRo2bIhRo0bh33//LVWHiT9PANGize/fv8ecOXPQsGFDmJiYoFq1avDz88POnTvlHrsi6r9r165h4MCBXFmpVasWvv32Wzx48EDpclJUVIT169ejVatWsLS0hImJCRo1aoRFixbhw4cPCs9peeq/kue2Ih66urpo1aoVACAjIwOpqakq7S/5fWL//v0AAH9/f1haWsrd7+zZs9wUyEZGRjA2NoajoyN8fX0xffp0nD17ttQ+suqmko8XL15g/PjxcHJygqGhIezt7dGrVy+EhYVBKFRcF6qjHKn6uHjxIkaNGgVXV1eYm5tDX18ftWvXRrdu3bBmzRq8f/9e5r6VUSeWtf4MCwtDYGAgnJ2dYWxsDHNzc3h6emLGjBlITExU+7nh8XjctNoAMGLEiFJ1Zsk4xWX45s2bGDduHFxdXWFqagoTExO4urpi/PjxePTokcI4s7Oz8dtvv6Fx48YwMTGBtbU1WrdujQ0bNqCoqAhCoVCp97N47dfLly8jPj6+zGWKMVam3z9lfWTnZcM09g0AwNKzaaUemx6FZf69W/LBd6gNAHD5YAoA2BGzA5dfXtb469O2R0HOx2no9HREz0mss5tfkKfx+KriQ11lmB700NSDyjA9tP3xOZdhZekqnVILZGVlcX8bGxvLTCe5TXIfTUlNTcWgQYMgFArh4uKCn376SeE+ixcvLtawJhYaGir3tZekq6uLGjVq4MOHD5/0FGdV4ToDoqkSxcQdfoo4ODigffv2OHfuHF6/fo3w8HCp6yPs378f06ZNQ3Z2drHnExMTERwcjODgYAwdOhTLly+Hrm7xt/6HDx+4v/Py8jBmzBhs3bq1WJp79+7hhx9+wNmzZxEUFISioiKMGzcOR48eLZbu9u3bmDhxIq5fv44VK1ZIfU3du3fnpoyU9PbtW0RERCAiIgJ///039u/fr3C6rvz8fMyePRu///57sefj4uKwdu1a7Nq1C3v27OEaCSVJzpOfmJiIb775Bnfu3CmW5vr167h+/Tp2796Nffv2wdTUVGocL1++xODBgxEdHV3s+ffv3+Py5cu4fPky1q5di3379qFevdJ3ohZ9/HFVVFSEvXv3YuzYsaWuZXZ2tlJlRiwtLQ2DBg3CtWvXij3/9u1bhIeHIzw8HKtXr8b+/ftRp06dUvuLP0yEQqHc40qexw8fPhTrvFZEVt7lua6SI3jkxS35fszJyeHSSu4vj7LXQrLhTBbJ8yZ+Dx4/frxYmvfv3+Pq1au4evUqVq9ejX379sHT07NUXpLXIz4+Hr1798b9+/eLpVG2/impPNdFkuT5Vna9CslzVB7379/H0KFDER8fX+z5goICxMTEICYmBlu3bsXdu3eLvS8k3w83b95Ev379kJCQUCyPixcv4uLFi4iIiMDSpUulHl/d9d/y5cvxyy+/cHUIILoR5p9//sHhw4exf/9+tG7dutS+kuc9JSUFI0eO5Dp2xcRr6h05cgRHjx6FiYmJ1DjKW/8pW9eUl2SdKlkGVfH27VtcuXIFAODl5SU3j1mzZmHdunWlnk9ISEBCQgKuXbuGbdu24fnz58W2y6qbJEVERGDIkCHFPr+TkpJw7NgxhISEYPbs2cXqYHlxlqccKSs3NxeTJ0/GwYMHS2179eoVXr16hZMnTyIxMRE///xzse2VWSeqWn/m5eVh4sSJOHToUKnjRkdHIzo6GuvXr8emTZtkTpFdnnMjT8l6XigUYs6cOVi3bl2xDloAePLkCZ48eYItW7Zg6dKlGD58uNQ837x5g169euHx48fcczk5Obhy5QquXLmCAwcO4Lvvviu2TVbZE8/0wBjDkSNHMGzYMKVfm1hBQQFyc3MRERFRrOxWpJeFCfBJEn2ux+bz8PDkyUo5LvnPmTNnyp2HzocP+AKAbkoaWvKaI5Ldwk/nf8Jks8kw4tPUgsoqevIYDQDkg+Hkx/dCPR7AZ8DFCxdgbPFUswFWUeoow4RoEpVhou0+xzIs+RtTkU+qs0gbffjwAT179kR8fDzMzMxw4MABmY3Rkn755Rdu/n1A1Ajg4OCAzp07w9zcXOnj5+Xl4eXLlzA1NS22ZtKngjGGrKwsmJmZKRytVRkkO/IMDAyUvlZfffUVzp07B0DUGdOpU6di2/fv34/x48eDMcbd4e/u7g4bGxu8ePECW7duxb///oudO3fC2toaf/75Z7H9Jcvcjh07cO3aNXTp0gWjRo2Co6MjXr58iT/++APXrl1DSEgIDh48iPv37+Po0aMYNGgQBg0ahJo1a+Lp06f4v//7Pzx69Ajbt29H//79uWlGSvL09ESPHj3g4+MDe3t7MMYQHx+PI0eO4MCBA4iPj0dgYCBu3bolt2yGhYUhKioKrq6umDFjBho1aoSMjAwEBwdj8+bNyMzMxKBBg3Dv3j04ODgU21cy3xkzZuDOnTvo378/AgMDYWtriydPnmDlypW4ceMGrly5gkmTJkltEHr37h26deuGly9fwsDAAKNHj4afnx/q1q2LDx8+4MyZM1i1ahViY2MxYMAAREVFwcLColge4g68169fY9y4cTA2Nsavv/6KNm3agM/n49KlS7Czs1O6zAgEAnTt2pXrKPL398d3330HJycnvH79GkFBQTh69CgeP36Mvn374tatW6XqHvFUaXw+X+5xJc+jqakpl/aPP/7Azz//jFGjRiEqKgpNmzYtNd2Mvr6+1LzLc10NDAy4v+XFLfl+FN8JDgBTpkzB4MGDMWfOHBw7dgz29vb4999/S+2v7LUIDQ1FQUEB1q1bh/Xr1wMA7t69WyyNq6srd77Hjh3LNYo2btwYU6dOhbu7O96/f499+/Zh+/btSEpKQu/evXHnzp1SI2klr8eUKVMQHR2NoUOHon///qhRowYSEhJUqn8klfW6lGyYlDzfAwcORJs2beSen5LnqKwePnyIrl27cg3svXv3xoABA+Ds7AyBQIAnT57gzJkzOHLkSLGyDPz3fsjLy8OQIUOQlpaG2bNn48svv4SpqSlu376NhQsXIjExEZs3b0bfvn3x1VdfSY1DXfXfhQsXcP36dXh6emLy5Mnw9PREbm4ujhw5glWrViEnJwffffcdHj9+DH19/WL7SuY7ffp0XL16FYGBgQgICODKybJlyxAZGYmbN29i9erV+N///lcqBnXUf8rWNeVRWFiIqKgoAICdnR0cPy5urizx94lHjx5xHcqtW7eWGe/x48e5jqJGjRph3LhxcHd3h4WFBdLT0xETE4OzZ8/ixo0bpfKQVTeJxcbGYvDgwcjOzoauri7Gjx+PXr16wdzcHNHR0fjzzz+xaNGiYjeWyDuv5SlHyhAKhQgICMDZs2cBAC4uLpgwYQJ8fHxgbGyMpKQkREZG4sCBA1LrpsqsE1VJyxjDkCFDuAbS7t27IyAgAM7OzuDz+bhx4waWL1+OhIQEDB8+HBcvXkTTpk3Vcm7u3r2L169fcx1QCxcuRM+ePYvlbWtrW+xcTpo0iSuTfn5+xUZC3b17F6tWrcKDBw8wdepU1K1bt1R+RUVFGDJkCNdR1KlTJ4wfPx4ODg5ISEjAunXrEBYWVqxzSFr5FfP29ka1atWQnp6O69evY/LkyVLTyZOXlwcjIyP4+flV2u+YA5c3oFo2IOQB7UeMoDWLKlFhYSHOnDmDTp06lfv7AGMMcStWQpiVhcVNfkDgszlIyEpAlGUUFrderKaIP303H4luftE1NkLXrl0BAI9++Rl8BrRq2RL2dRtqMrwqR51lmBBNoDJMtN3nXIZVulGSfUKOHTvGADAA7O7duzLTHTlyhEt3//79ch1TnE9QUJDK+3748IH5+fkxAMzU1JRdvHixzHFkZGQwACwjI0Ol/XJzc1lMTAzLzc0t87GrMoFAwNLS0phAINB0KIwxxs6fP8+VmXnz5im939mzZ7n9Ro4cWWxbamoqs7Cw4LYVFhZKzWPWrFkMAOPz+ezRo0fFtsXFxXH5A2BTpkwptX92djZzdHRkAJi1tTXj8XhsxYoVpdIlJSUxMzMzBoD17NlTaixPnjyR+3rPnDnD+Hw+A8A2b94sNY1kvN7e3iwrK6tUmh07dnBpAgICSm0PCgoqls///ve/UmkKCwvZV199xaU5ceJEqTSDBw9mAJijoyOLjY2VGu+tW7eYiYkJA8BmzZpVaru/vz93DHt7exYfH89tK0s5XrNmDZdfYGAgEwqFpdKIywQA9tNPP5XaPmzYMO51ySN5HuPi4mS+Nn9/f4Vxq+O6zps3j9suj+T78fz586W2K/v6laVMXMePH+fSfPnllyw/P79Umo0bN3Jp+vfvX2p7yXIt6z2kivJeF4FAwEJCQuSeb2WvW3l4e3tz9eCePXtkpnv79i3Lyckp9py4PABgFhYWLDo6utR+T58+ZYaGhpVa/3Xt2lVqOVm0aBGX5tChQ6W2lywnO3fuLJUmLy+PeXh4cPW+tM8XddR/6n6vSSNZJ06aNEnl/cX18O+//87l8/LlS5nphw4dyr0mae8XsXfv3pV6TlHd1Lt3b2774cOHS23Pzs5mzZs3L3Z9pVFHOVLGypUruTz69OnD8vLypKYTCAQsMTGx2HOVXSeqklZ8XD09Pfbvv/9KTfP+/XvWsGFDBoC1bt261PbynBvJ726KfoeEhoZyaTdu3Cg1TW5uLuvQoQNXbku+3yXfQ2PHjpWax8iRI4udP2nlV1L79u0ZAObm5iY3nSya+B2zcuW3LMbVjd3oWPp6kopVUFDAjhw5wgoKCtSSX2xAfxbj6sYyTp1m91LuscbbGzOPbR4sLD5MLfl/Dq783w8sxtWN/TPSn3vubgM3FuPqxl4+u6O5wKoodZdhQioblWGi7T7nMqxKv8EntWaRvb099/erV69kppPcJrlPZcrOzka3bt0QEREBExMTnDhxAm3atNFILMpgjCGnMEcrH7lFuSqlZyXugK8KrK2tub/T0tKKbVu3bh0yMjJQq1YtrF27ttQUc2ILFixArVq1IBQKsWPHDpnHcnBwwJIlS0o9b2xszE0R8u7dO7Ro0QI//PBDqXQ1atTg5qG/ePGi1GO4uLjIPD4AdOzYkbujVbyWlzwbN26UOiJv6NCh3F23hw8fRnJyssw8GjVqJHV6F11dXWzevJm762Dt2rXFtr948QL79u0DAKxZs6bYGgKSvLy8MHHiRADAtm3b5L6e33//Xeq0cKr4+++/AQA2NjZYs2aN1JF1CxYsgJubGwBg06ZNSk+/VlnUcV21jfi66enpISgoSOpd/GPGjEHHjh0BAIcOHUJSUpLM/Dp06IBRo0apNUZtvS6hoaG4desWAOD777/HwIEDZaa1traGkZy7xRcuXIiGDUvfLVuvXj307t0bAHDp0iWp+6qz/jM0NJRZTr7//nvueVl1sVjfvn3x7bfflnrewMAAkyZNAiCq92NiYoptr4j6ryLExsZi9uzZAESjH3/55Zcy55WYmMj9bWtrKzOduPx7e3vLHTFuZWWl0vFfv36NkJAQAEC/fv248ibJ2NgYGzduVDpPdZUjaYRCITclY+3atbFjx45ioz8l8fn8UqOCNFknykvLGMMff/wBQHSOZI2itrS05F7/5cuX8fTpf1MylffcqEI8dWjPnj1lviZDQ0OsWbMGgGgKvvPnzxfbLv7+Y2dnh7/++ktqHitXroSNjY3ScYnfQ3FxcVXy+7c0godPAAB6Dd01HAkpL/26jgCAghcv4GnjiWENRb9zttzfojXlUdOE+aKpO5n+f78/2cefHAJh5UwNSQghhBD1+qSmoXN3dwefz4dQKER0dLTMucHFc+rXqFFD5R/p6iDuKLpw4QKMjY1x4sQJ+Pn5VXocqsgtykWL3aXXyfkUXRt8DcZ6yq/7VBkkG5pKrr907NgxAKLpT2Q1MgCiTo+WLVsiODgYkZGRMtP17dtX5nDMxo0bc38PGDBAZh7idGlpaUhPT0e1atVkpgVE63alp6cX66wQNzZIm45KkqenJ3x8fGRuHzlyJP79918UFRUhPDxcZgPxsGHDZE5VWLt2bXTu3BknTpxAeHg4BAIBdHR0AAAnTpyAQCCAsbGxzDpHzM/PD0uWLMHr16+RkJAgtUNIX18fAQEBcvNR5PXr13j48CEAoH///jAzM5OaTldXFyNGjMDMmTORlpaGW7duoWXLluU6trqo67pqk6KiIm7NmM6dO5eaXk/SmDFjcPbsWe71Dxo0SGq6IUOGqDVGbb4ukuudTJkypcz58Hg8DB48WOZ2Hx8f7N27F+/fv6/w+q9Tp04yOyzMzMzg4uKCBw8eIDY2Vm4+8sqJ5PWOjY1Fo0aNuP+ru/6rCDk5Oejbty8yMjIAAKtXry7XjUKpqakARB0y8qZkq1mzJgDR2kLPnz/HF198UeZjSjp//jwEAgEAUQetLI0bN0bjxo0VliFAfeVImjt37nAdbGPGjFFqqmUxTdeJ8tLGxMRwa03169dPbj6S3/EjIyO5DuPynBtVZGZmIjw8HABKTS1Xkru7O6pXr463b98iMjKSm/Y4KSmJ6yzu37+/zPVRTU1N0b9/f66TTxHx77D8/Hykp6fD0tJSqf00JTUnFbYJou/hdl5V4/sSKTv9unUBiDqLAGBog6HYFbML997ew+2U2/C289ZccFpCKP7uIvF5KPz4c4oVCTQQESGEEELK65MaWWRsbMwtvnvq1CmpaRhjOH36NADRD8/Klp2dja5du+LChQswMTHByZMn4e/vX+lxEO0i2UEkOfe7QCDAnTt3AAAbNmwAj8eT+wgODgYAuXf8y1tQXbLRU9l0JTu3xC5fvowBAwbA2toatra2qF+/Pjw9PbnHpk2bAIgWE5enWbNmcrc3b96c+7vkItVlySc7O7tYg5l4DYycnBzo6urKPf/du3fn9pN1DVxcXMo9777kIvOSa1ZII7m95OL0mqSu66pNYmNjuUUH1XXdJBv21UGbr8vt27cBAHXq1FF5vRpJ1atXLzbasyTJm1Aquv4TjwxUFIusOJTJR97rUXf9p25FRUUICAjgOkwmTJiA4cOHlyvP9+/fA4DCRu3AwEAAohFZHh4eGDhwIIKCgvDs2bNyHV/y/S6v4xZAqfVxZFFXOZJG/L4DgLZt26q0r6brRHlpxWUfAFq2bCm37Et2AkmW/fKcG1Xcvn0bQqEQADB69Gjo6OjIjVdc70jGKlmfq/I5oIjk+yg7O1vp/TTlXspdOCeLRpyYN/LScDSkvAw+dhZlX7mCt+vXwyDyHvpbfQkA2PZgm+YC0yLCgo+dRQb/dRaJRxYJaWQRIYQQopU+qZFFgGh0wMWLF3H+/Hlcu3at1I/LAwcOcA294h/ylUXcUSSeeu7kyZNVfkSRmJGuEa4NvqbpMFQmFAqRlZUFMzMz8PnK9Y0a6Va9hWolGwwlG+7ev3+PoiLVv4iLG1+kkXW3KIBi51DZdOI7oCXNnz8fCxYsUBQmACA3N1fudnnTAAGi6VLExI186swnJSVF7n6yyLoG6rirVjI+Ra+rRo0aUvfTNHVdV21SEddN3Xdpa/N1Edej4hEfZSWv7gMqt/5TNhZpcSibj7zXo+76T50YYxg+fDhOnjwJQDQaQjzFVnmIO/MVXZsvv/wSa9aswY8//ojc3Fzs27ePm7KvVq1a6N69OyZMmFBsxK4yJKeiVTTdl7LTgamrHEkj+f1F1feeputEeWnVUfbLc25UoY5YVbkWkp8Diki+j7RhkeFHTyLRIRsQ8ngwVNDJSqo+wwYNAABFb94gdcVKAEBPHg/3+vMQjnDEZcTByUL69KpEhOUXAAD4+pKdRTwADEIhjSwihBBCtNEn2Vm0cuVK3L9/H9988w22b9+OL7/8EkKhEAcPHsSYMWMAAF26dMGXX35ZbF/JBpy4uDjU/Xi3kSRZd/l++PCh2DZjY+NiP75zcnLQvXt3REREwNTUFCdPnqzQuwjVjcfjVbmp2ZQhFApRpFsEYz1jpTuLqiLJu09dXV25vyUbbkaPHi11DSFp5E2dU9HCwsK495mzszNmzJiBNm3aoE6dOjAxMeHWXJo7dy4WLlyoMD9ZU8epqqz5iK9B9erVS83vL4+stT3E09upi7rOT2XT1rjVRV2vn8pT1aLu+k/T1F3/qdPEiRPxzz//ABB959u1a5davgeIO2DS09PBGJP7npg4cSICAgKwe/dunDlzBpcvX0ZGRgZevXqFDRs2YOPGjZg1axYWLVpU7rg+dZqoE+Wllfz+FRISIvU3gzSKOloqgmSsf/31Fzp06KDUe0FWZ5k6PwckO6EsLCzUlm9FSbtzAwBQ6GgHvpx17Yh20K9bF3X370PO9evIe/wEubduofDVKwx4Zot7zu+wI2YH5rWcp+kwqzRxZ5G0kUX4OKKREEIIIdrlk+ss0tXVxbFjx9C+fXu8ePECHTt2hLGxMYRCIfLyRAswenl5cQ0IqpJ1l+bkyZMxefJk7v/z5s3D/Pnzuf8HBwdz84WLp0WR59ChQ2jVqlWZYiSfnjNnznB/t2nThvtbcpQRYwweHh6VGldZiKdXsrS0xNWrV2W+p5QdlfDmzRult8tbo+zNmzdyp9aTlY94OqqsrCy4u7urvXG+LCTjU3R+JKeZKXl+xI1JQgU/9ipi6pjyXFfJRjChUCizUayqTXmjrutWkdT1ftOE6tWrAxCtvaEp6q7/NK0q1n8AMHPmTKxbtw6AaL2YgwcPqm3UgviaCYVCZGRkKFyTytbWFlOmTMGUKVMgFApx584dHD58GGvWrEF6ejp+++03NGvWDL169VLq+JIN+KmpqahVq5bMtOL1lTRJ/L4DRO89RVPeSarKdaLkVJTVqlUr0/ev8pwbVUjGamRkBA8PD5U7TiXLnSqfA4qIR8rZ2tqWewreipZblAudJy8AAEYNq/73baIco0aNYPRxysncu3fxYsBA1IvJgF4HhmPPjmFSk0mwNpI99exnr0A8sui/96/wY/UiEBRqIiJCCCGElJP2DrWQo27durh37x7mzp0LDw8P8Hg86OnpwcfHB8uWLcPVq1crfQFVycbWvLw8vHnzRu6j4OMXL0Kio6MRFhYGAHBwcCi2BoG+vj4aNmwIQLQGhjZ48OABAKB9+/Zyp8iRXA9Anhs3bii9XV5jjrL5GBsbw9nZmXvey0s0Z31+fr7SMVc0ydd57Zr86SOvX78udT9AtLA5ILqDXp4nT57I3V6Wu5DLc13FcQPFp2wqqSLiLg9nZ2duRGp5rltFUtf7TZqKPt/e3qKFqhMSEhAfH1+hx5JF3fWfplXF+m/RokVYsmQJANHaKsePH4eRGkcASJZrRXVISXw+H97e3li4cCH3uQ4A+/fvVzoP8Wc+ANy8eVNu2qpwTcTvOwCIiIhQad+qXCeKyz5Q9u9f5Tk3gPJ1ZpMmTbi0is6jLJ6entzfqnwOKCJ+D0mW66rqROwJ1EkSTf1c3Uv5dZmI9jD09IRujRrg5eahxztHFAgLsPfxXk2HVbUViDqEdAwNuKfYx/qGCWhkESGEEKKNPsnOIkDUWLhgwQLcv38fHz58QGZmJqKiojB9+nSZU3DNnz8fjDEwxmROJyHerughOaoIAIYPH670vowxtGvXTr0nhGil3NxcBAYGgjHRYrozZszgpikS69mzJwDg0aNHOH36dKXHqCrxGkvyRnXcvn1b6QaN+/fvF5umr6StW7cCEE0nI+99tXPnTu48l/Tq1SuEhoYCANq1a1fs7vkePXpwjTArVqxQKuaKZm9vD3d3dwCiRsgPHz5ITScQCLBt2zYAoruGJRuugP+misrKysLjx4+l5lFQUICDBw/KjUd8t3B+fr7Sr6E811Vyiit5jaV798pvAChL3OWhq6sLf39/AKLRhImJiTLTbt68mdunMj8v1PV+k0byrvKKOOc9evTg/v7rr7/Unr8y1F3/aVpVq/9WrlyJOXPmABA1bp86dapY57E6SE4hrEqjeEne3t7cjUuypjiWpl27dtyokJ07d8pMd/fuXdy9e7fM8alL48aN4eDgAEBUb8n6PJKmKteJ3t7eqF27NgBg48aN3OwFqijPuQGUrzNtbGzg6+sLQDTTQVlGnEl+rzhw4IDMNbuys7OV7vzMzMzkvluUXGO2qmGM4Z/onXBOFn1PpJFFnyYenw+zTp0AAN0TRKOJ9j3aBwGtvSMTr/BjZ5HBfzdliKehY3TeCCGEEK30yXYWEaLtYmJi0KZNG65h1t/fHxMmTCiV7ocffoCpqSkAYMSIEdyd67KcOHEC9+7dU3/ASnJxcQEAXLp0Cc+ePSu1PTU1FUOHDlUpz7Fjx0ptfN29eze3uHnv3r3lLiB9584dLF26tNTzRUVFGDNmDDfar+Q1cHV15aaV3Lt3L5YvXy431ri4OOzZs0f+C1KDiRMnAhCdz++//15qmgULFiAmJgYAMGbMGBgYGBTbLm6kA4A///xTah7Tpk3Dq1ev5MYiPu+xsbEyO+SkKet1bdWqFdep+tdff0k95tKlS4vdiS4v7pSUFGRlZSkdd3mIr1tBQQFGjRqFwsLSU3hs3bqV67zs27dvhS6MLo063m/SSKZ//vx5+YKUomPHjvDx8QEArF69Wm5n4bt372Q2hpZHRdR/mlSV6r+goCBMnToVAFC/fn2cOXOmQqYjc3BwgKOjIwDIrUP27dsntwxFRUVxIx9VWcOpdu3a6NatGwBRw/+RI0dKpcnNzcXYsWOVzrMi8fl8/PjjjwCAxMREBAYGyhw9LxQK8fr162LPVdU6kc/nY9asWQBEn22BgYFyO2wyMzOxZs2aUnmU59xYW1tzN8ApqjN//fVXAKKbP/r37y93xHB+fj7+/vvvUh1g4u8/ycnJmD59utR9p06dipSUFLmxiEVFRXGfz507d1ZqH02JTIqEz/GnqJYN8IyMYFhBUwYSzTPr1BEAYH79MSx1zJCWn4Z7bzX3u6mq4xWIboLhG0iOLBL9K6TOIkIIIUQrfXJrFhGiLVJSUhAdHc39Pzs7G2lpabh37x7CwsJw5swZ7ke0r68vgoODpa65YGdnh+3bt6Nfv35ISkpC06ZNMXz4cHTp0gW1a9dGYWEhEhMTcf36dQQHByM2NhYhISFo9HF+7soWGBiIkJAQZGdnw9/fHz///DPXgHvlyhUsX74cycnJaNmyJSIjIxXm17RpU0RFRaFp06aYOXMmPD09kZGRgeDgYGzYsAGAaKThsmXLFOYzc+ZM3LlzB4GBgbC1tcXTp0+xfPlyrkGwR48e6N69e6l9161bh6ioKMTGxmL69Ok4evQoAgMD0bBhQxgYGODdu3e4e/cuTp06hXPnzqFPnz4YNGiQqqdOJePHj8c///yDyMhIBAUFIT4+Ht999x2cnJyQlJSErVu34tChQwCAL774grsbX5KXlxd3HTZt2oSCggIMGzYMFhYWePr0KTZu3Ihz586hVatWuHLlisxYWrVqhaCgIKSkpGDatGn49ttvuYWs9fT0uIZXSeW5rra2tggICMCePXtw+vRp9OzZExMnToSdnR0SEhKwc+dOHDx4UKm4AVEj3fjx4zF58uRia0zUq1dP5r5l1a1bNwQEBODAgQMIDQ2Fr68vpk2bBjc3N6SlpWHv3r3c6B0rKyuFjfPqpq73mzSS6/RNnToVs2fPRs2aNbmRK3Xr1i01slJVO3fuRPPmzfHhwwcMGjQIBw4cwMCBA+Hs7AyBQIBnz54hNDQUwcHBiI6OVnrRemWpu/6rCqpC/XfkyBGMGTMGjDGYm5tj5cqVSE1NlTuCwsnJCSYmJmU6Xq9evbBq1SqcP38ejDGp04HNnDkT48ePR69eveDn54f69evDxMQE7969w6VLl7B69WoAolF4o0ePVun4y5cvR1hYGHJychAQEIAJEyagT58+MDc3R3R0NJYsWYKYmBg0a9asXKOf1GXixIkICQnBmTNncPjwYXh6euK7775D06ZNYWxsjOTkZFy9ehV79uzB4MGDi43Or8p14vjx47nXdODAAdy6dQvjxo1D8+bNYWFhgczMTDx69Ajh4eE4duwYDA0NMWnSJLWdG11dXTRr1gyXL1/G1q1b4eXlhSZNmnDfFa2srLgO065du+L777/HqlWrEBERAXd3d4wfPx5t2rSBtbU1srOz8ezZM1y8eBGHDh1CWloahg0bVizWCRMmICgoCLdv38a6desQFxeH8ePHw8HBAS9fvsTatWsRGhrKfU4oIp6KsXr16sXW46yKru34E99cEX0nrzl/HvhqnNqSVC3GPj7QsbaG4N079M3yxRbjKFxMvAgvWy/FO3+G+B87i3QNjbnnGF/0mSgUUGcRIYQQopUY+SRkZGQwACwjI0Ol/XJzc1lMTAzLzc2toMg0SyAQsLS0NCYQCDQdCmOMsfPnzzMASj9sbGzYb7/9xgoLCxXmfezYMWZlZaUwTz6fz86dO1ds37i4OG57UFCQUvGfP39eZrqgoCAuXVxcXKntI0aMkBmfjo4OW7FiBZs3bx73nDTibfPmzSuWtuTD3NychYeHK4zz1q1bzMvLS2Y+rVu3ZpmZmTJfc1JSEmvbtq1S13XEiBGl9vf392cAmL+/f6ltZS3H7969Y61bt5Ybi7u7O3vx4oXMPB4+fMhsbW1l7j9jxgyF1zsrK4s5OztL3d/R0bFYWnVcV8YYS05OZi4uLjL3HzhwIDt79qzc8iwQCJivr6/MPFSlqEyL5ebmsj59+si9bvb29uz27dtS91d0PcqivNdFIBCwkJAQhfVH//79ZeatrtcSFRXFHBwcFL5PSx5v2LBhUstsSZVd/8kjr15Rtpwo8/lQ3vpP2XMri3h/VR7yPsOkkayH79+/z+Vz4cIFqekdHR0VxmBgYCD1nCrzWRsaGspMTExk5j1v3jw2Z84cBoAZGhpKzUMd5UhZ2dnZrF+/fgrPibRYKrNOVLX+LCgoYBMmTGA8Hk/ha3NyclL7uTl+/LjMY5dMX1RUxH755Remq6ur8FgmJiYsJyen1PFevXrFXF1dZe7XuXNndvr0aaXeZ05OTgwAmzhxosLzLEtl/I55HhnK7jR0YzGubuzpwjkVdhyiWEFBATty5AgrKCio0OO8njOXxbi6scgpw5jHNg/2zdFvKvR42uySnzeLcXVjpw79+d9zLRqyGFc3dvfCQQ1GVjVVVhkmpKJQGSba7nMuw6r0G9A0dIRUAXw+HxYWFqhTpw7atm2LKVOm4ODBg0hMTMSsWbOUupu+R48eiIuLw7Jly9ChQwfY2dlBT08PRkZGcHJyQvfu3bF8+XK8ePEC7du3r4RXJdvWrVuxc+dOtG3bFmZmZjAwMICjoyOGDh2KK1eu4IcfflApv/nz5+PUqVPo1q0b7OzsoK+vj7p16+K7777DgwcPik2nJoulpSWuXLmCxYsXo0mTJjAzM4OpqSmaNWuG1atX48KFC3LXvqhRowYiIiJw/PhxDBkyhFuYW09PDzY2NmjVqhWmT5+OCxcucHdBVzQrKytERERgx44d+Prrr7kyYW1tjXbt2mHNmjW4c+eO1JE9Ym5ubrh16xYmTJgAR0dH6Ovrw8bGBl9//TVOnDghdeq+kkxNTbnr6u7uzi1Yrkh5rqudnR2uXbuGmTNnwsXFBQYGBrCysoKfnx927dqFPXv2FFt7Sho+n4/Q0FD8+uuvaNy4MUxNTZVeULw8DA0NcejQIRw7dgx9+/aFvb099PX1YWlpiRYtWmDx4sV4/PgxmjRpUuGxSKOO95ssu3btwpIlS7g788Vrs6iTj48PHj9+jFWrVqFDhw6wtbWFrq4uTE1N4enpibFjxyIsLEzto4rE1F3/VQVVsf6rSB4eHmjZsiUA0fSL0pw/fx4rV67EN998A09PT9jY2EBXVxfm5ubw8vLCjBkzEBMTg+HDh5cphk6dOiE6Ohrjxo3j6mY7Ozt069YNp06dwvz585GZmQkA3EhOTTI2NsaBAwdw7tw5DB06FE5OTjAyMoK+vj4cHBzQo0cPbNiwQer0ZlW5TtTT08PatWtx9+5dTJ48GZ6enrCwsICOjg4sLCzQpEkTjBo1CsHBwXj48KHUPMpzbrp164awsDD06tUL9vb2Ukegi/F4PPz000949OgRfvrpJzRt2hRWVlbQ0dGBmZkZGjRogCFDhmD79u1ISkqCkZTRM/b29rh9+zYWLVoEDw8PGBkZoVq1avD19cXatWvx77//ylwbVlJkZCTi4uIAlJ7etyopSk1F+tSfoV8ExDe0xhe/zNN0SKQSiNctsrz+FHwh8DjtMZKzkzUcVdXELxKNHtIz/G+kLvv4XZkJhRqJiRBCCCHlw2NMhQUkSJWVmZkJCwsLZGRkwNzcXOn98vLyEBcXBycnp2IL5X4qhEIhMjMzYW5uXiGNjkRzxI328+bNKzYtiyq2bduGESNGABCtpVFRjcPl9TmVY3VcV1L1fE5lmHyaSpbh/fv3Y8CAAbC0tERCQgK3dmBV0rFjR4SFhaFNmza4ePGipsMhGlaV6uHRo0djy5Yt+Oqrr3Dq1Kky51PRv2MSFi1A9q69SLQGzLetRQsXzd5s9bkrLCzEyZMn0bVrV7kdo+XFCgrwpE1bCDMzsX1SfZwwi8XclnMRUD+gwo6pra43bwSzzEKkrvsFfu0DAQAXWzVC9feFyP97Ppp8OUDDEVYtlVWGCakoVIaJtvucy7Aq/QbUYkMIIYQQQogKAgIC4OPjg7S0NKxZs0bT4ZTy+vVrREREABCte0hIVZGQkIAdO3YAABYsWKDhaORLvB4OALjSyR7N67XTaCyk8vD09WH2cRaGL5+LRsNHJEZoMqQqS6dQNHpI3+i/GybEc9cIBIWaCIkQQggh5USdRYQQQgghhKiAx+Phjz/+AAAsX74c2dnZlXr8Z8+eydyWm5uL4cOHo7BQ1FAXGBhYWWERotDixYtRWFiIgIAAtGjRQtPhyLT/4V4YvBBNPdbaf0ilTENLqg6zzqKp6GrffAkeY7iWdA35gnwNR1X16BaJO4tKT0MHmoaOEEII0UqKF0IhhBBCCCGEFPPll19i1apVePfuHeLj49GgQYNKO/bo0aORnZ2N/v37w8fHB1ZWVsjKykJUVBTWrl3LdSaNGjUKnp6elRYXIfIwxuDo6Ih58+Zh5MiRmg5HplMvTmHj6d+wugAQ6vLxZZuhmg6JVDKTNm3ANzODMOUdWr6xxpUaGYhKjkLrWq01HVqVwRiDbpFoRQMDyZFF4r4iRp1FhBBCiDaiziJCCCGEVHkpKSlISUlReT99fX3Ur1+/AiIiBJg8ebLGjh0VFYWoqCiZ2/v06YPVq1dXYkSEyMfj8fDzzz9rOgy5rry6gl8u/gKvVFFDt5GLK3if2Zz2BOAbGMD866+RfuAAej41x5UaGbj46iJ1FkkqLAT/4+rXehIji8AX9RYxQZEGgiKEEEJIeVFnESGEEEKqvLVr15ZpfQtHR0e8ePFC/QERokHLly/H4cOHce7cOSQmJiI1NRWMMdja2sLX1xfDhg1D165dNR0mIVolIz8D0y5MQ5GwCF/m1wPwBIZubpoOi2iIRe9eSD9wAHVvvoa+L0NEYgRmNptJUxJ+JCwo4P42NDL773meuLOIRhYRQggh2og6iwghWokxVu48hg8fjuHDh5c/GKI26riuhBDyqfP29oa3tzcWLlyo6VAI+WRceX0F2YXZqGteF23zHJCNJzBwpZGpnysjb2/o1a6NwsRE+D7VQ0SDl3iR+QJOFk6aDq1KYPn/reEkOQ2deFVsoVBQyRERQgghRB34mg6AEEIIIUSR+fPngzGm8oNGFRFCCFHG5VeXAQDtHdqj4MlTAKCRRZ8xHo8Hi169AADdH4umWTsTf0aTIVUpBbnZon91AENdQ+55Jh55JaSRRYQQQog2os4iQgghhBBCCCGfLcYYrry+AgBoZemFwoQEAICBq6smwyIaZtGrJwDA8UkGLLMYdsbsRHZhtoajqhoK8kTnoVAXMNAx4J5n3DR0NLKIEEII0UbUWUQIIYQQQggh5LP1JO0JUnNTYaRrhAZpolEkura20LW01HBkRJP069SBkbc3eEKGHs+rIT0/HXse7dF0WFVCfk4WACmdRXxRZ5GQUWcRIYQQoo2os4gQQgghhBBCyGdLPKqoqV1TCJ4+BwAYuNGoIgJuKrpOMXoAYwiKDsKHgg8ajkrz8nNF56BQlweeeOo5ABCPLKJp6AghhBCtRJ1FhBBCCCGEEEI+W5dfi9Yral2rNfIePwYAGLrSekUEMP/6K/D09WEQn4xWObWQWZCJXQ93aTosjSv42FlUpMsr9rx4ZBFNQ0cIIYRoJ+osIoQQQgghhBDyWcopzMGtN7cAAK3sWyH/kaiziEYWEQDQsbCAaYcOAIDRMXYAgB0PdiCzIFOTYWlcYV4OAECgV6JJSTzKiEYWEUIIIVqJOosIIYQQQgghhHyWot5EoVBYCHsTezia1kHekycAAENX6iwiItYjRwAATMOi0DrPAVmFWdgZs1PDUWlWYW42gNKdRTSyiBBCCNFu1FlECCGEEEIIIeSzdPnVf1PQFSUmguXkgKevD/26dTUbGKkyjBo1glnnzgBjGBtpAgDYFbMLOYU5Go5Mc/4bWaRTfMPHkUVCIXUWEUIIIdqo3J1FBQUF6oiDEEIIIYQQQgipVFdeXwEAtLb/b70iAxcX8HR1NRkWqWJspkwBdHRgdDUabd9Wx4fCD4hIjNB0WBpTlJcLABCW6CwSjywCY5UdEiGEEELUoNydRfb29pg6dSqio6PVEQ8hhBBCCCGEEFLh4vYFYcrSZ2j5CGheszmtV0RkMnB2QrVvvgEADL0AgDGcjDup2aA0SPCxs4jplehUFfcV0TR0hBBCiFYqd2fR+/fvsWrVKjRu3Bi+vr7YsmULsrOz1REbIYQQQgghhBBSId7t2QP798DUw0XIW78NeY8eAaD1ioh01SdOBM/QENWeJMPnGcOlV5eQWZCp6bA04r+RRcU7ixj/YxOTUFjZIRFCCCFEDdS2ZhFjDDdu3MDYsWNRs2ZNjBkzBlevXlVX9oQQQgghhBBCiFqwoiLox77m/v927Vp8OHcOAGDg6qapsEgVpmdnC6vAQADA8AhdFBUVICw+TMNRaYagIA8AwPT1im+gNYsIIYQQrVbuzqJdu3ahffv24PF4YIyBMYYPHz5g69ataN26NTw9PbFy5Uq8f/9eHfESQgghhBBCCCHlkh8bC70CAXL1gdwfR4Gn91+jtyFNQ0dksB49CnwLC9ilFMA/+vOdik6YL+osQonOIvGaRYxGFhFCCCFaqdydRYMHD8bZs2fx7NkzzJo1C7Vq1QIAruMoJiYG06ZNQ61atTBo0CCcPXu23EETQgghhBBCCCFl9f7ODQBAnB3gMnQc6uzYDj17e5j4tYWOhYWGoyNVlY65OaqPHQsA6B8hxO2X1/A2962Go6p8wvx80R8yRhbRNHSEEEKIdlLbNHROTk5YtGgR4uPjcfz4cfTp0wd6enpcp1F+fj7279+Pr776Cs7Ozvjtt9/w6tUrdR2eEEII0Qo7d+6En58fLC0twefzwePx0KRJE02HJRePxwOPx8P8+fPLnMelS5ego6MDHo+H8PBwtcVWWYYPHw4ej4e6detqOpRPjrae24KCAri4uIDH4yE4OFht+b548YJ7z23btk1t+RJSGRSV327duoHH42HevHmVH1wJb25dAQCkOlrATN8Mxl5e+OLsGThs2KDhyEhVZ/ntEOjWqIHqWUDnmwKcfnFa0yFVOpYn6izi6esX3/BxzSIaWUQIIYRoJ7V1FnEZ8vno2rUrDh48iMTERPzxxx9wcxPN+SzuOIqPj8fcuXNRt25ddOvWDUeOHIFAQHPakk9feHg49wNa8qGrqwsrKys4OTnBz88PU6dOxcGDB1FQUKDpkAkhavTTTz8hMDAQFy9eRHp6Ohhjmg6JkE/ChQsXsHjxYvTp0wcNGzaEnZ0d9PX1YWFhAU9PT0yYMAE3b95U6zFXrlyJZ8+ewcPDA998841a8ybkUzVnzhwAwLJly5CYmKjRWApiHor+cHXmnuN9vImDEHn4BgawmTwZANDnihDnYkI0HFHlExZ8HFlkYFB8A01DRwghhGg1tXcWSbKxscGPP/6ImJgYXLx4EcOGDYOJiQnXaSQQCHDq1Cl88803qF27Nn7++Wc8ffq0IkMipEoSCARIS0vDixcvcPHiRaxYsQL9+vVD7dq1sWjRIhQVFWk6RELKrF27duDxeGjXrp2mQ1GJukc7vHz5EsuXLwcA+Pr64vjx47h79y7u37+PgwcPquUY2mz+/PlcBzohqhoyZAhmzZqFI0eOICYmBikpKSgsLERmZiaio6Oxfv16NGvWDN9//z2EamjAysrKwh9//AEA+PXXX6ncEo1Qx6jPyubr64tOnTohJycH//vf/zQWBysqgnHcGwCAZeOmGouDaC+L3r2g41wXpnnAF8fv4dWHz2zWlIJCAADfoPjIIsZNQ0c3AxNCCCHaqEI7iyS1bt0aQUFBSEpKwvr169G8eXNuG2MMb968wdKlS+Hm5oZ27drhwIEDavkxT0hVNWHCBNy/f597REZG4uTJk/j999/RqVMn8Hg8pKamYs6cOWjdujVSU1M1HTIhpBzOnz/PjaLdvHkzunXrhkaNGsHDwwNffPGFhqOreG3atIFAIABjTOs6DknVZ2Jigq+++grz58/HP//8g3PnziEqKgrHjx/H3LlzYWdnB8YYVq9ejVmzZpX7eOvWrcO7d+9Qp04dBAQEqOEV/Kdu3brcjVXDhw9Xa96EVAXTp08HAGzZsgVJSUkaiSH/+XPoFgqRow84e7TWSAxEu/F0dFBz+gwAQNcbDGE3D2g4okqWL5oBg0cjiwghhJBPSqV1FomZmprCx8cHXl5eMDQ0BPDfXXHiH8YXL17EwIED4erqqtY54AmpSmxtbeHh4cE9fH190aVLF8ycOROhoaGIjo6Gl5cXAOD69evo06cPTUtHiBaTXKevfv36GoyEkE/PgwcPcOrUKcybNw+DBw9G+/bt4ePjg27dumHBggV48OABnJ1FU039+eefePfuXZmPJRAIsGbNGgDAoEGDwOdX+tdpQrRax44dYWtri4KCAmzQ0PpAb29fAwDE1QDcqzfUSAxE+5l26IActzowKAIK9hzSdDiV6+PIIh0Do+LPiz8TqbOIEEII0UqV9us2PT0da9asgZeXF5o3b46NGzciPz+f6yCytLREy5Yti3UaPX/+HAMGDMDYsWMrK0xCqowGDRrg8uXLXIfR5cuX8ffff2s4KkJIWeXn53N/6+npaTASQj49urq6crdbW1tjzJgxAICioiJcvXq1zMc6c+YMXr58CUA0/R0hRDU6OjoYMGAAACAoKEgj6/el3IoEALx1rAZTfdNKPz75NPB4PNQcKfpscbyfisQsza7DVZl4hR+nodMvMbKIRyOLCCGEEG1W4Z1F586dw5AhQ2Bvb48ffvgB9+7d4zqDGGNo27Ytdu3ahdevX+Py5ct4/vw5fvnlF1hZWQEQTVG3ZcsWBAUFVXSohFQ5RkZG2LlzJ7cWwrJly1D48Yu5NMnJyZg9ezaaNm0KKysrGBgYwMHBAf3798fZs2dl7vfixQtuhN+2bdsAAIcOHULnzp1ha2sLExMTNG7cGKtXry52fMYYdu/ejXbt2sHW1hbGxsbw9vbG+vXr5f7wz87Oxr59+zB69Gg0adIEFhYW0NPTg42NDfz9/bFs2TJ8+PBB7rkpOU//2bNn0bNnT9SsWROGhoZwdnbGpEmTio3mKGnbtm1cPi9evEB+fj6WLVsGb29vWFhYwNzcHC1atMDatWu56cPkEQgE2L59O7p37w57e3sYGBjA2toabdq0wfLly5Gbmytz35Lr+jx9+hSTJk2Ci4sLTE1NYWlpiRcvXiiMoSShUIhdu3aha9euqFGjBvT19WFjY4P27dtj7dq1ckerKbtmT8nzWHL/CxcuABAtQC9OJ36UzFsd11XZtW/Cw8O5dOHh4aX23759OwAgPj6+VNyqrE9St25d8Hg8LFiwoNTrlHbexEJCQri1y8RlqWXLlvj999/lvj+klesVK1bA19cX1atXV8v6FmW5LpcuXYKOjk6p8y2OV975kXWOyio/Px8bN25Et27dUKtWLRgYGMDExAQNGzbE6NGjcfr0aYWNl+np6Zg7dy4aNmwIExMTVKtWDX5+fvjnn3/k7lcR9d+NGzcwaNAgrqzUqlULQ4cOxcOHD2XmUbKcCIVCbNy4Ea1atYKlpSVMTEzQqFEj/Pbbb8jJyZEbD1C++q+ymJmZcX/n5eWVOZ/9+/cDAFxcXODp6Sk37c2bNzFq1CjUr18fJiYmMDQ0hIODA3x8fDBx4kQcO3asVFmT9pkszbt37/DTTz/B1dUVRkZGsLOzQ6dOnXD48GEAsutmMXHdJJ7q7vHjxxgzZgzq1q0LAwMD2NnZoU+fPuXqWCspOjoakydPhqenJywtLaGnp4caNWqgY8eOWLJkidwpyS5duoShQ4eibt26MDQ0RLVq1eDl5YVff/1V7lS9Jet6oVCIrVu3on379rCzswOfz+fOgSppJd26dQvjx4+Hq6srTE1NYWJiAldXV0yYMAFPnjxR+7kRXzuxBQsWlKozZU1h+OzZM0ydOhWenp6wsLCAkZERnJ2dMXz4cERFRSmMUyAQYO3atWjRogXMzc1hYWEBb29vLFu2rNhNEYp88803AICEhARcvnxZ6f3UpTDmEQCA5/rpTwNLKpZd+68g5AO13wEXr38+s6LwCkRr6uoayhhZxKiziBBCCNFKrAK8evWKLVq0iH3xxReMz+czPp/PeDwe96hevTqbNm0ae/Tokcw8MjMz2aBBg7h9fH19KyLUT0ZGRgYDwDIyMlTaLzc3l8XExLDc3NwKikyzBAIBS0tLYwKBQNOhMMYYO3/+PAPAALB58+YpvV/nzp25/S5fviw1za5du5iJiQmXTtpj1KhRrLCwsNS+cXFxXJqgoCA2YcIEmXn07duXFRUVsby8PNavXz+Z6caMGSPz9fj7+8uNEwBzcnJiDx8+lJmH5HmcP3++zHwsLCxYRESE1DyCgoK4dLdu3WI+Pj4y8/Hz82NZWVky44mPj2eNGzeW+5rq1avHHj9+LPec+Pv7syNHjki9ls+fP5d5fGnevXvHWrduLTcmd3d39uLFC6n7Dxs2jAFgjo6Oco8jeR7j4uJK7S/vUTJvdVzXefPmcenkkXw/nj9/Xur+8h7KcnR0VJiX5HnLzc1lffr0kZve3t6e3b59W+rxJK/HjRs3WJMmTUrtr0r9w1j5r4tAIGAhISFSz7dkvMqeo/K4ffs2c3JyUvl4ku+HR48esbp168rcd+LEiTKPr+767++//2a6urpS8zE2NmYXLlyQmofkeX/w4AH78ssvZcbTvHlz9uHDB5nxlLf+U7auKQ+BQMD8/Py4eKKjo1XeX/x9Qnzthw4dKnef5cuXMz6fr/B6l/xsKfmZLM29e/eYnZ2dzDzHjh0rs24WE9dNw4YNY4cOHWLGxsZS89LR0WF79+5V6XyVVFRUxKZOncp4PJ7cczFs2LBS+woEAjZx4kS5+1lYWLDQ0FCpx5as6//991/WsWNHmcdVJa04NkWvS1dXl23YsEGt50aZz5WS51IgELD/+7//Y3p6ejL34fF4bM6cOTJjzcrKYm3btpW5v7e3N7t165bC8ssYY9nZ2UxHR4cBYLNmzZKZTp6y/o4RFhSwew0bsBhXN7Y39K8yHZtUvoKCAnbkyBFWUFCg6VBKud73Kxbj6sb+/LmTpkOpNKFdmrMYVzd2bsfiYs8fH9WFxbi6sRPzR2kosqqrKpdhQpRBZZhou8+5DKvSb6C2zqKioiJ26NAh1q1bN6arqyu1k8jf35/t3r2b5efnK5Vnbm4us7W1ZTwej5mamqor1E8SdRZJ96l0Fi1ZsoTb7/fffy+1fXEn1z8AAQAASURBVN++fVwjg7OzM1u+fDk7deoUu3nzJjt48CDr2rUrt//UqVNL7S/ZMNWiRQsGgHXt2pUdOnSI3bx5kx05coR7HgDbtGkTmzx5MgPABg8ezI4fP85u3rzJ9u7dy9zc3Io1tEjTunVr5unpyWbPns0OHz7Mrl27xq5evcr27dvHBg4cyDWuubq6yiyb4mM0bdqUS7tlyxZ248YNdvbsWTZu3DguH3Nzc5aQkFAqD8mGtGbNmjEAbMCAAezkyZMsKiqK7d69m3seAOvdu7fUWN6+fcscHBwYAGZgYMAmTZrEDhw4wG7cuMHOnz/PfvnlF64RztnZmaWnp5fKQ9yA7OTkxExNTZmNjQ37/fff2eXLl9mVK1fYH3/8wd68eSP1+NIUFRWxli1bcrH7+/uzAwcOsKioKHbs2DHWu3dvbtsXX3whtSOsvJ1FiYmJ7P79+9w1atq0Kbt//36xR8nGY3Vc1/J2Fr1584bdv3+f9erViwGijpmScd+/f19u3pIeP37M7t+/X6wTtmRekl9W+vfvz6Vr3Lgx27FjB7tx4wY7ffo0GzFiBPdet7KyYomJiaWOJ3k9GjVqxHg8HgsMDGQnTpxgN2/eZIcPH2YnT55UOn7Gyn9d5HUWpaWlKTw/Jc9RWcXExDBTU1PuOH369GH79u1jN27cYFevXmU7duxg3377LTMxMZHZWWRjY8NcXFyYmZkZ+/XXX1l4eDiLiopimzZtYrVr1+byPnXqlNQY1Fn/+fr6Mj6fzxo3bsy2bt3Kbty4wSIiItjUqVO5fOrUqSP1e5dkOWnVqhXj8/ls2LBhxcqJZB3y888/S41FHfVfRXUWFRUVscTERBYSElKsk65jx44q5yX+PhEfH8/ls2rVKpnp7969y10DJycn9ueff7KwsDB2+/ZtFhERwTZt2sQGDx7MTExMVO4sSktLY/b29lyaoUOHsn///ZdFRUWxvXv3ctdN8nNbXmeRt7c3MzQ0ZE5OTmzNmjXs6tWrLDIyks2fP58ZGhpy7+uUlBSVz5vYyJEjuVhq1qzJfvvtN3b+/Hl269Ytdvr0abZw4ULWuHFjqZ1FP/74I7evk5MTW79+Pbt+/To7f/48mzp1Ktf5oa+vz+7cuVNqf8m6vlGjRgwA69mzJ/cd5+TJk1xnmCppGWPsu+++49L7+fmxrVu3svDwcHb9+nW2adMm1rBhQ2770aNH1XZuxJ8r4v0mTJhQqs4s+fnwxx9/FHtt69atY2fPnmVRUVHsn3/+KfZ+X7lypdRYxZ+LgKgTec+ePSwqKoqdOHGCBQQEFPs+paiziDHGnePWrVvLTSdLWX/H5D58yGJc3VhUIzcW9fp6mY5NKl9VbuCJX7uCxbi6sV1d3dnrrNeaDqdSnO3ozWJc3djF/cXri5CxXUWdRXNHaCiyqqsql2FClEFlmGi7z7kMV2pn0aNHj9iPP/7I7OzsZI4imj59usy7SRXp3Lkz4/F4jM/nlzfUTxp1Fkn3qXQWnT17lttv5MiRxbalpqYyCwsLbpu0kUOMMTZr1iwGgPH5/FKj+iQbpgCwKVOmlNo/Ozuba1iytrZmPB6PrVixolS6pKQkZmZmxjWwSPPkyRO5r/fMmTNcI9vmzZulppGM19vbW2pnx44dO7g0AQEBpbaXHNHwv//9r1SawsJC9tVXX3FpTpw4USrN4MGDuYbO2NhYqfHeunWLGy0k7Q5ayYZMe3t7Fh8fz20rSzles2YNl19gYCATCoWl0ojLBAD2008/ldpe3s6ikq/N399fYdzquK7l7SwSU3cDtjJxHT9+nEvz5ZdfSm3k37hxI5emf//+pbaXLNey3kOqKO91kddZJKbsdSsPb29vrh7cs2ePzHRv375lOTk5xZ6THClnYWEhdWTK06dPucb1yqr/unbtKrWcLFq0iEtz6NChUttLlpOdO3eWSpOXl8c8PDy4el/a54s66j91v9ckX1fJh7e3N3v16pXKeYrr4T179nB5Xbx4UWb6OXPmMADMxMSEJScny0yXnp5eqm5X1Fk0ZcoUbru0z+GioqJijfqy6mbJ0Sk+Pj5Sv0Pu2rWLS7N8+XKZr0Oeo0ePcnm0bNmSpaWlyUxbsqP53r173PvBw8ND6r7//vsvl6Z58+altkvW9QDYr7/+KvP4qqQNDQ1VWM/m5uayDh06cOW75HuoPOeGseKjDOV58OAB16k2d+5cqd8JBAIB+/bbbxkAZmpqyt6/f19su+TnU9euXaXWBwsWLCh2/hR1Fo0YMYIBolGQ0mJSpKy/YxL+CWIxrm5sf2d3ll2QrfJxiWZU5Qae3MePWYyrG7vT0I3tvLVF0+FUivP+jVmMqxuLPLax2PPHx3UXdRb9OlxDkVVdVbkME6IMKsNE233OZViVfoNyr1nk7u6OP//8EykpKdw6RADg7++Pf/75B69evcKyZctQv379MuVvbGxc3hCJGjDGIMzJ0c5Hbq5K6cVluCqxtrbm/k5LSyu2bd26dcjIyECtWrWwdu1amYt8L1iwALVq1YJQKMSOHTtkHsvBwQFLliwp9byxsTGGDRsGQLROQosWLfDDDz+USlejRg306dMHAHDx4kWpx3BxcZF5fADo2LEjevbsCQA4cuSI3LQAsHHjRpiall6ceOjQoejSpQsA4PDhw0hOTpaZR6NGjfDzzz+Xel5XVxebN2+Gnp4eAGDt2rXFtr948QL79u0DAKxZswZOTk5S8/fy8sLEiRMBQO4aFADw+++/o06dOnLTKPL3338DAGxsbLBmzRqpa+wsWLAAbm5uAIBNmzaptNZAZVDHddU24uump6eHoKAg6Ovrl0ozZswYdOzYEYBobTF5a3x06NABo0aNUmuM2npdQkNDcevWLQDA999/j4EDB8pMa21tDSMjI5nbFy5ciIYNG5Z6vl69eujduzcA0foq0qiz/jM0NJRZTr7//nvueVl1sVjfvn3x7bfflnrewMAAkyZNAiCq92NiYoptr4j6r6IYGxtj3bp1uHLlCuzt7cucj+S6XLa2tjLTict//fr1YWdnJzOdhYUF+Hzlv47n5+dz57BZs2ZSP4d1dHSwYcMGGBoaKp3v1q1bYW5uXur5wYMHc+dLUTmS5ffffwcgugbBwcGoVq2azLQODg7F/r9u3ToIPy6SvnnzZqn7fv311xg5ciQA4Pr167hx44bM/OvXr6/0mm2K0opf1zfffCOznjU0NMSaNWsAiNa/O3/+vNQ8ynJuVPHnn3+isLAQXl5emDt3rtTvBHw+H6tXr4aBgQE+fPiA4ODia6+Iv/8YGBhg06ZNUr9v/vrrr/Dw8FA6LvF7KCcnp1I/M1Jvi9bheudYDcZ69FuTlJ+BiwsKqptDvwh4dv6IpsOpFDqForpZz8ik+IaPn2lMqHi9V0IIIYRUPdJblcvI2toaw4cPx9ixYxU2hiirQ4cOcn84kcrBcnPx2NtH02GU2RsV0rreugleFeuklGyYzcrKKrbt2LFjAIDu3bvDwMBAZh66urpo2bIlgoODERkZKTNd3759uY6Rkho3bsz9PWDAAJl5iNOlpaUhPT1d4Xs4NTUV6enpxTorbGxsAAB3796Vu6+npyd8fGSXzZEjR+Lff/9FUVERwsPDZTYQDxs2TGrjCQDUrl0bnTt3xokTJxAeHg6BQAAdHR0AwIkTJyAQCGBsbMw1lMvi5+eHJUuW4PXr10hISJDaIaSvr4+AgAC5+Sjy+vVrbmH7/v37F1vUXZKuri5GjBiBmTNnIi0tDbdu3ULLli3LdWx1Udd11SZFRUW4cOECAKBz585yGwbHjBmDs2fPcq9/0KBBUtMNGTJErTFq83U5fvw49/eUKVPKnA+Px8PgwYNlbvfx8cHevXvx/v37Cq//OnXqJLPDwszMDC4uLnjw4AFiY2Pl5iOvnEhe79jYWDRq1Ij7v7rrP3W5f/8+AEAgEODNmzc4f/481q9fjxkzZuDx48dYsmSJzM85RVJTU7m/LS0tZaarWbMmACAmJgbXr19H8+bNy3S8kqKiopCeng4AUjv4xOzs7PDVV1/h6NGjCvP09PQsdl0l8Xg8eHl54fXr1wrLkTTv3r3D1auihvkBAwao3FF39uxZAEDDhg3RokULmenGjBmDzZs3c/s0a9ZMaroBAwZwn9+KyEubmZmJ8PBwAEC/fv3k5uPu7o7q1avj7du3iIyMRKdOnQCU/9yoIiQkBADQo0cPmd91AKBatWrw9PREVFQUIiMjMWbMGACi95L49Xbu3FlmrHw+H8OGDcOPP/6oVFxWVlbc38nJydz7Rt3OxJ/BsWfH8L3393CxdEFhzCMYAeC51auQ45HPD4/Hg6m/PwoOhsD85jO8yX4DOxPZNwp8CnSKPnYWGZb43SyuYz529BNCCCFEu5R7ZBEgGkW0e/duvHr1CkuXLlVbRxEATJ48GUFBQQgKClJbnoRoG8kOIsk7fwUCAe7cuQMA2LBhA3g8ntyH+C5ReXdvyhsFKNnoqWy6kp1bYpcvX8aAAQNgbW0NW1tb1K9fH56entxj06ZNAIC3b9/KPA4AmQ1CYpINdOIGxPLkk52dXazBLCoqCoDorlhdXV2557979+7cfrKugYuLi0p3g0sTHR3N/S2vca3kdsn9NE1d11WbxMbGIicnB4D6rpusBuCy0ubrcvv2bQBAnTp14OjoWOZ8qlevXmy0Z0mSjZ8VXf+JRwYqikVWHMrkI+/1qLv+UxcPDw94eHigcePG6Ny5MxYvXox79+7B1tYWK1asQLdu3SAQlO2O5/fv33N/y+ssGjRoEPT09JCfn4/WrVujR48eWL9+PaKjo8s1glny/S6v4xYAmjZtqlSe6ipH0ty5c4d7vW3btlVp3/z8fDx9+hSA4jrRy8uL6wBUV50oL+3t27e5EU+DBg1S+P1L/F6WLPvlOTeqiI+P5zo5/+///g86OjpyYxW/ryVjff78Off5pMrngCKS76Hs7Gyl91PVpnubEJ4Yjm9Pfotzz0NhHC86H1aNlXuPEKIM2w5fAQC8njOExZ/VcDQVT/fjyCJ9oxKjzXU+NjFVwdk6CCGEEKJYuUcWPXnyBPXq0V1ZnzqekRFcb93UdBgqEwqFyMzKgrmZmdLTvPDkTD2kKZINhpINd+/fv0dRUZHK+Yl/8Esjb+pHyXOobDppDXLz58/HggULFIUJAMjNzZW7Xd40QACKTf8j2cinrnxSUlLk7ieLrGsgr/FRWZLxKXpdNWrUkLqfpqnrumqTirhu6ihPkrT5uojr0fLeua5oetzKrP+UjUVRx0hZ63N1138VycHBAX///Te6du2KM2fOYMuWLRg7dqzK+Uh25ufm5socuenm5oY9e/ZgzJgxSEtLw/Hjx7nRbdWrV8fXX3+NsWPHqtxJIDkVrXgEmiyKtoupqxxJI/n9RdX3nuRrVVT36OnpwdraGsnJyWqrE+WlVUfZL8+5UYU6YlXl80netIslSdZxZR3tp4iQCRGXEQcAyCnKwep90/C/IiGyDYB6Hm0q5Jjk82Ti6wuhLh810oUIiQrB4AbqHd1d1egViTqD9EtOQ8cTT0NHI4sIIYQQbVTuziLqKPo88Hi8Kjc1m1KEQvCLisA3NlZpTYCqRnxHPAC4urpyf0s23IwePVrq2gXSSFvforKEhYVxDaXOzs6YMWMG2rRpgzp16sDExISbA3/u3LlYuHChwvzkTaeiirLmI74G1atXL7UWgTyy1vZQdnocZanr/FQ2bY1bXdT1+qk8VS3qrv80Td31X0Xr3LkzjIyMkJubi+Dg4DJ1Fkl2wLx//15mZxEgWsumY8eO2LdvH06fPo2LFy8iNTUVb9++xa5du7Br1y4MGzYMW7du1ervKJVBE3WivLSS3782bNiAVq1aKZWnujvwlSEZ608//YQhQ4YoVd5MTEykPq/OzwHJTqiKmnY8KTsJeYI86PJ18Y3LN9AP2w0AuOfMx0Ar+aPqCFEF38QE+t5NUHT9FvSvRyOtfxosDSv/PV9ZdD/er2hoXOJzkC+qI3jUWUQIIYRopXJ3FnXo0AGAaMoB8SKtqpozZw4uX74MHo+HsLCw8oZEyCfnzJkz3N9t2vx3F6TkKCPGmEqLCmuKeHolS0tLXL16Veadz8qOSnjzRv6KVJLbJc+XtHTyptaTlY94OqqsrCy4u7urvXG+LCTjU3R+JKeZKXl+xI1JQgU/9ipi6pjyXFfJRjChUCizUawip7wpC3Vdt4qkrvebJlSvXh0AkJSUpLEY1F3/aVpVrP/k0dHRgaWlJXJzcxEfH1+mPMTlCBCNfFE0paGFhQXGjh3LdUw9fPgQR48exerVq/H69Wts374dXl5eSt/sIdnZkJqaKvdzS3J9JU2RPF+qvvckX6uiuqeoqAjv3r0DUDl1j+RUlMbGxmX6/lWec6MKyVj19PTg4eGhcuekKtdC0XZJkqPH5K3TVx6x6aKpg+ua18Xs5rNwf3oIgEy8aeUCYz0tvBGOVGlWHToh5fotNHkmxN3Uu2jn0E7TIVWIosIC6H78eWBgWGIaOj6NLCKEEEK0WblvYwwPD8eFCxdw7969MucRHR2N8PBwbuFUQsh/oqOjuU5UBweHYmsQ6Ovro2HDhgBEa2BogwcPHgAA2rdvL3eKHPGc+YrcuHFD6e3yGnOUzcfY2BjOzs7c815eXgBEaysoG3NFk3yd165dk5v2+vXrUvcDwN0xL15MXZYnT57I3V6Wu5DLc10l7/SXbIgqqSLiLg9nZ2duOqjyXLeKpK73mzQVfb69vb0BAAkJCWXuKCgvddd/mlYV6z95CgoKuKm/TE1NFaSWztPTk/tbUR0ijbu7O37++WdcvXqVG7mxf/9+pfcXf+YDwM2b8qcHrgrXxMvLi3tvR0REqLSvgYEBtw6qojrx9u3bKCwsBFA5dWKTJk2411XW71/lOTeqcHZ2hoWFBQDg6tWrZcrjiy++gNHHaZpV+RxQRPwecnJyUjgdYlnFZog6i5wsnJATFQW9d5ngmZpi+qR/KuR45PNm6ucPAGjwkuH+i+sKUmuvvNz/1rAzMCo5suhjE5OQ1iwihBBCtBHNeUFIFZabm4vAwEBuAeQZM2Zw0xSJ9ezZEwDw6NEjnD59utJjVJV4jSV5ozpu376tsGFI7P79+8Wm6Stp69atAER3lLdr105mup07d8pcdPzVq1cIDQ0FALRr167Y3fM9evTgGntWrFihVMwVzd7eHu7u7gBEjZAfPnyQmk4gEGDbtm0ARHcNixvTxcRTRWVlZeHx48dS8ygoKMDBgwflxiNe4yM/P1/p11Ce6yo5xZW8xtK9e/fKjaEscZeHrq4u/P1FjQxnzpxBYmKizLSbN2/m9pFXrtVNXe83aSTXgqmIc96jRw/u77/++kvt+StD3fWfplXF+k+eo0ePoqCgAEDxTh9VNG3alCurqjSKl+Tg4MCNCpJcu0aZ44sb/nft2iUz3Zs3b6rEdwIrKytuirb9+/fj9evXKu3fsWNHAKKOVslO8pLEdaLkPhXJxsYGvr6+AIDdu3eXaRRXec8NoNznlI6ODrp27QoAOH/+PB4+fKjycSQ/a0JDQ2WOhBIKhdi+fbvS+Yo/o1u0aKFyTMoSdxY5Wzgj88RJAIB5586l11khRA30neoi38EGegJAcFr56Vm1TUHuf78tDI2K33zB3fzDaGQRIYQQoo2qRGeRuIGW1kIg5D8xMTFo06YN1zDr7++PCRMmlEr3ww8/cHdIjxgxgrtzXZYTJ06UayRgeYnvEr506RKePXtWantqaiqGDh2qUp5jx46V2vi6e/dunDwpahjo3bu33AWk79y5g6VLl5Z6vqioCGPGjOEaGEteA1dXVwQEBAAQdT4sX75cbqxxcXHYs2eP/BekBhMnTgQgOp/ff/+91DQLFixATEwMAGDMmDEwMDAotl3ccQEAf/75p9Q8pk2bhlevXsmNRXzeY2NjZXbISVPW69qqVSuuU/Wvv/6SesylS5fKbXiUjDslJQVZWVly06qL+LoVFBRg1KhR3J3ykrZu3cp1Xvbt27dCF0aXRh3vN2kk0z9//rx8QUrRsWNH+Pj4AABWr14tt7Pw3bt3xRZeV5eKqP80qarUf2fPnpV6PiXFxMQUqwsDAwPLdCx9fX2uYVteHXLkyBG5ozJfvnyJR48eAVBtDSdDQ0Mu9hs3bmDlypWl0giFQowbNw55eXlK51uRZs6cCQDIyclBQEAAMjIyZKYt2Uk+YcIEbsq0sWPHIjMzs9Q+oaGh2LJlCwDRtNjNmjVTV+hy/frrrwCAzMxM9OvXT+71zs/Px99//13qmpTn3AD/1ZuK6sxffvkFOjo6EAqF6N+/v9ybEQQCAf755x+p10L8WsaNG1dsLSSxxYsX4/79+3JjEYuNjeU6Sjt37qzUPmUhnobO2cQRWR87UM27da2w45HPG4/Hg3FAXwBAgwvxKBAUaDiiiiEeWVTEB3T1i/9++G9kEXUWEUIIIdqo3GsWqYN4miBZC6kS8ilKSUlBdHQ09//s7GykpaXh3r17CAsLw5kzZ7hGbl9fXwQHB0NPT69UPnZ2dti+fTv69euHpKQkNG3aFMOHD0eXLl1Qu3ZtFBYWIjExEdevX0dwcDBiY2MREhKCRo0aVdprlRQYGIiQkBBkZ2fD398fP//8M9eAe+XKFSxfvhzJyclo2bIlIiMjFebXtGlTREVFoWnTppg5cyY8PT2RkZGB4OBgbNiwAYBoWrJly5YpzGfmzJm4c+cOAgMDYWtri6dPn2L58uVcg2CPHj3QvXv3UvuuW7cOUVFRiI2NxfTp03H06FEEBgaiYcOGMDAwwLt373D37l2cOnUK586dQ58+fTBo0CBVT51Kxo8fj3/++QeRkZEICgpCfHw8vvvuOzg5OSEpKQlbt27FoUOHAIiml5kzZ06pPLy8vLjrsGnTJhQUFGDYsGGwsLDA06dPsXHjRpw7dw6tWrXClStXZMbSqlUrBAUFISUlBdOmTcO3337L3Rmvp6cndc2P8lxXW1tbBAQEYM+ePTh9+jR69uyJiRMnws7ODgkJCdi5cycOHjyoVNyAqOF1/PjxmDx5crE1JurVqydz37Lq1q0bAgICcODAAYSGhsLX1xfTpk2Dm5sb0tLSsHfvXm70jpWVlcLGeXVT1/tNGskF4qdOnYrZs2ejZs2a3I0kdevWLTWyUlU7d+5E8+bN8eHDBwwaNAgHDhzAwIED4ezsDIFAgGfPniE0NBTBwcGIjo5G3bp1y3W8ktRd/1UFVaH+u3TpEr7++mt8+eWX+Oqrr9CoUSNYW1ujqKgI8fHxCA0Nxc6dO7mG+pEjR3JrbpZFr169cOHCBVy/fh1ZWVnFpr4UW7FiBYYMGYJu3bqhQ4cOcHd3h4WFBdLS0hAVFYXVq1dzHZLjx49X6fjz58/HgQMHkJycjClTpuDmzZsYMmQIbGxs8OzZM6xcuRJXrlxB8+bNuc8vTd6Q1aNHD4waNQpbtmzBlStX0KBBA0yaNAmtW7eGubk53r59i6ioKOzbtw+NGzfmRrwCohFg06dPx9KlS3H37l14e3tj5syZ8PLyQnZ2NkJCQrBq1SoIBALo6+tz9VBl6Nq1K3744QesXLkSERERcHd3x/jx49GmTRtYW1sjOzsbz549w8WLF3Ho0CGkpaVh2LBhajs3gKjejIuLw7Fjx7Bhwwa0bt2aG21kbm4OW1tbAKLzuHTpUkybNg0xMTHw8PDA2LFj0aFDB9jZ2SEvLw8vXrxAZGQkgoODkZSUhPv376N27drFYu3RowdCQkIQEhKC1q1bY+rUqXBxcUFKSgq2bduGffv2cZ8TioinWNbV1ZX63UodGGP/TUP3JBOC9HToWFvDpAJHMhHiNGA4HqzeAIdUhifhR+HxZYCmQ1K7/I8ji4qkfS3ToWnoCCGEEK3GyonH4zE+n8+6dOlSpv0zMjKYqakp4/P5zN3dvbzhfLYyMjIYAJaRkaHSfrm5uSwmJobl5uZWUGSaJRAIWFpaGhMIBJoOhTHG2Pnz5xkApR82Njbst99+Y4WFhQrzPnbsGLOyslKYJ5/PZ+fOnSu2b1xcHLc9KChIqfjPnz8vM11QUBCXLi4urtT2ESNGyIxPR0eHrVixgs2bN497Thrxtnnz5hVLW/Jhbm7OwsPDFcZ569Yt5uXlJTOf1q1bs8zMTJmvOSkpibVt21ap6zpixIhS+/v7+zMAzN/fv9S2spbjd+/esdatW8uNxd3dnb148UJmHg8fPmS2trYy958xY4bC652VlcWcnZ2l7u/o6FgsrTquK2OMJScnMxcXF5n7Dxw4kJ09e1ZueRYIBMzX11dmHqpSVKbFcnNzWZ8+feReN3t7e3b79m2p+yu6HmVR3usiEAhYSEiIwvqjf//+MvNW12uJiopiDg4OCt+nJY83bNgwqWW2pMqu/+SRV68oW06U+Xwob/2n7LmVRV6ZLHl+f/zxR1ZUVKTyMSTr4bdv3zIDAwMGgG3fvl1qevG5l/fg8/ls4cKFpfZV5pzfuXOH2djYyMx7+PDhbMuWLdz/k5OTS+Xh6OjIALBhw4bJfe3lvT6MMVZUVMQmTZrEeDye3HMiLRaBQMC+++47uftZWFiw06dPSz22st9dVE3LGGNCoZAtWLCA6erqKrzeJiYmLCcnR63n5vbt21xZVJReIBCwFStWMGNjY4Wx6uvrs6dPn5Y6XmZmptzvFV5eXuzmzZsKyy9jjLVr144BYN26dVN4nmVR9DsmNSeVeWzzYJ7bPFn89OksxtWNJf1f6fcc0Q4FBQXsyJEjrKCgQNOhKHRgZAcW4+rGLo3qq+lQKsTDqDMsxtWNXfMq3X5zYvYwFuPqxo6N766ByKo2bSrDhEhDZZhou8+5DKvSb6DSLbryFl99//690ouzMsaQm5uLZ8+eISgoCNnZ2eDxeJU2bQQhVQ2fz4eZmRksLCzg6OgIHx8ftG3bFt27d4e+vr5SefTo0QNxcXHYtGkTTp48iQcPHuD9+/fQ1dVFjRo10LBhQ3To0AH9+vWDg4NDBb8i+bZu3YoOHTpg48aNuHPnDgoKClCjRg34+flh0qRJaN68OebPn690fvPnz0fLli2xevVqREVFIS0tDfb29ujatSt++eWXYnfGymJpaYkrV65gxYoV2LdvH54/fw7GGNzd3REYGIgJEyYUW6uopBo1aiAiIgInTpzAnj17EBkZieTkZBQWFqJatWpwcXFBy5Yt0bNnT/j5+Sn92srDysoKERER+Oeff7B7927cvn0b79+/h7m5OTw9PdGvXz+MGTNGbhlzc3PDrVu38Ntvv+HkyZNISkqChYUFfHx8MHnyZHTt2rXUnc4lmZqa4sqVK1i8eDFCQ0MRHx+PnJwchfGX57ra2dnh2rVr+OOPP3Do0CEkJCTAxMSEu5t6yJAhCA8Pl3t8Pp+P0NBQLFmyBCEhIXj+/Dmys7NVmkqvLAwNDXHo0CGEhIRg27ZtuHr1Kt6+fQsTExPUr18fvXv3xqRJk7jpJyubOt5vsuzatQtNmzZFcHAwHj9+jKysLAjVPI2Jj48PHj9+jM2bN+PIkSOIjo7G+/fvYWhoCCcnJ7Rs2RIDBgxQ+6giMXXXf1WBpuu/qVOnws3NDeHh4bh79y6SkpKQkpICoVAIS0tLuLm5wc/PD4GBgfjiiy/KfTxra2v07dsXe/bswe7du6VOabdnzx4cP34c4eHhiImJQXJyMt6+fQtDQ0M4OjrCz88P48ePL/Mo38aNGyMmJga///47jh07hoSEBJiZmcHT0xNjxozBoEGDiq0jJR7NqSk6OjpYvXo1RowYgQ0bNiA8PByvXr1CQUEBrK2t0ahRI3z99ddSp2Hk8/n4+++/MXDgQGzYsAEXL17EmzdvYGBgAGdnZ3Tt2hVTpkyBjY1Npb8uHo+HuXPnYujQoVi/fj3OnTuH2NhYZGRkwNjYGA4ODvDy8kLnzp3Rp08fGBkZlcqjPOemSZMmiIyMxNKlS3H58mW8efNG7vpFw4YNQ//+/bFp0yaEhobi8ePHSE9Ph4GBAWrVqgVPT0906tQJ33zzTbGRtGJmZmYIDw/H+vXrsWPHDjx8+BA8Hg9ffPEFBgwYgClTpiA5OVnheXv16hX3u/G7775TmL6s4jLiAACO+jWQe+48AMC8W7cKOx4hYgU9OwCXd8Ei8iGK3r6FrpT3kzYrzM2GLoAi3dKrGvDE09BV8PdlQgghhFQMHlOh1YvP55eaxkK8e3mmt2CMgcfj4dy5c8XWyCDKy8zMhIWFBTIyMmBubq70fnl5eYiLi4OTk1OxxcU/FUKhEJmZmTA3N+fmvCefBnGdM2/evDI3rG7btg0jRowAIFpLo6Iah8vrcyrH6riupOr5nMow+TSVLMPXrl2Dr68vdHR08Pz5c6nTaWra6NGjsWXLFtSuXRsvX77UdDhEw6pSPbxo0SLMmTMH7u7uePDgQZl/Ryr6HbPv0T4surYII964osvWB9Czt8cXYWdpnVwtVVhYiJMnT6Jr165Sp+auSm4k38DrwYGo/xqwmTIF1ceP03RIanXz7G4YT1qIt9Z6aHu5+Fq4p+aPhuPey3ju54TuG09qKMKqSZvKMCHSUBkm2u5zLsOq9BuU6ZcCY4x7SHtO1QePx8OsWbOoo4gQQgghhFR5LVq0QN++fSEQCLB48WJNh1NKbm4ujh49CkC07iEhVcWHDx+4UW/z5s2r0I4b8XpFTe5nAxCNKqKOIlIZGlo3xFkf0SQu7/buARMINByRehXmid5TAj0pzUkfO6MZrVlECCH/z959x0dR538cf81ueiUFCL1JD70LCAiiNAsWrBQLenqe9Ty7YD3vbHdnF38qHkqzcYoIIii9995CINQkpPfd+f2xSQQJkLAJk0nez8cjj0x2Zr7z3mTgkexnv5+viC2VqQ1dw4YNT/sFe//+/RiGgb+/P7Vr1y7VOA6Hg+DgYGJiYujcuTM33XQTHTp0KEsUERERERHLvPzyy8yaNYtPPvmEp59+2qsWjGW1Z88emjZtWuIL3y6Xiz/96U8kJiYCntZjIpXFO++8Q1JSEt27d+eGG26o0GvtTd2L4TaptdXTGi900MAKvZ5IkSDfIJIvbkX6vM2EHjlKxq+/EXrpAKtjlZuCnGwAXL4ltOguLBYZ5dxGWERERC6MMhWL4uLiTnusqI1B//79mT1b04xFREREpOpr2bIl//d//8eePXuIj4+/oMWiF154gZUrV3LjjTfSo0cPatWqRXZ2Nhs3buSjjz5i7dq1AAwaNIhhWqNFKpHQ0FCee+45Ro4cWeGzfPam7qXxMXBm5uAIDiagbdsKvZ7IyWLrdmZBhy1cucIk9dtvq1axKNuz9qjpc3qxSGsWiYiI2FuZikVnUtGLfYuIiEj1duzYMY4dO1bm8/z8/GjRokUFJBKB2267zbJrb9u2jeeee+6M+3v37s3UqVPVdksqlXvvvfeCXCcjL4NjWccYvt/zd2pQ164YPuXyp69IqXSs1ZEPW07hyhUuMleswHS5MJwlzMSxoYLcHADcfqf/myouFmlmkYiIiC15/Rvzvn37AAgMDPQ6jIiIiEhJ3n33XSZOnFjm8xo1alTizGgRO3viiSdo0aIFP//8M3FxcRw/fpz8/HyioqLo2rUro0aN4sYbbyzuACBS3exL9fyN2vmAL5BLUI8e1gaSaqdjzY7srQNZ/hCUmkrO1m0Etou1Ola5cOV62tCZJRSLcBQWxLRmkYiIiC15XSxq1KhReeQQESmT8pjROHbsWMaOHet9GCk3mqkqInJuLVu25Mknn+TJJ5+0OopIpbQ3dS8Ot0nz+AIAgnp0tziRVDcxwTFEh9RmS8PDdNtlkrlsWZUpFrlzPDOLTF/f03c6Cmez6nd6ERERW9LbDUVERKTSmzBhAqZplvlDs4pERKqfval7aXoY/HNdOMLDCWjVyupIUs0YhkHHmh3Z2NhTPMlcttTiROXHVdiGzvQ7vVhU1IbO0MwiERERW1KxSERERERERKqMval7aRtfuF5Rt65VZq0YsZdOtTqxqYmnWJS9Zm3xjBy7c+fmAmD4+522T2sWiYiI2Fup2tBdeumlxduGYTB//vwS93nrj2OLiIiIiIiIlMW+1H3cst9TLArurvWKxBr9G/Tn1ci/kxQKUel5ZK9dS/DFF1sdy2tFxSJKnFlUWJhVGzoRERFbKlWxaOHChRiGgWmaGIZR4j5vlTS2iIiIiIiISGnlufI4lBJPq4OFM4t6qFgk1qgfWp/Y6HZsaryB/ptMMpctrxLFIvLyADD8/E/bpTZ0IiIi9lbqNnRnW3T8fNYQ+OOHiIiIiIiIiDfi0uJomuAmIB+cERH4N7/I6khSjQ1uPJhNxesWLbM4Tfkwi9vQnV4soqgNnV7jERERsaVSzSz65JNPzmufldLT03n99df56quv2LdvH06nkxYtWnDjjTdy//334+d3en/dc0lJSeHXX39lzZo1rF27ljVr1nDkyBHA830YO3ZsqcbZs2cP//jHP5g7dy6HDx8mNDSUzp07M378eK699toy5yoPKtiJiIiIiIhdnOnvl293f0tsYQu6oO7df19DRcQClzW6jE8avQ5AzpYtuFJScNaoYW0ob+XlA+AM0MwiERGRqqZUxaIxY8ac1z6r7N+/n/79+xMXFwdAUFAQubm5rF69mtWrVzNlyhTmz59PREREmcb99ttvGTdunFfZZs+ezfXXX09WVhYAYWFhJCcnM3fuXObOncu4ceP4+OOPL1hLPkfhL3Mul+uCXE9ERERERMRbBQUFADidzuLH9qft58vtX/JkfFELuu6WZBMpUj+0PvUat+NA9HoaJJpkrlhJ2OWDrY7lncJikcMv4LRdhlNrFomIiNhZlXubVUFBASNGjCAuLo46deowb948MjMzycrKYurUqYSGhrJu3TpuvfXW8xo/JiaGIUOG8NRTT/H111+X6dx9+/Zxww03kJWVRe/evdmxYwepqamkpqby7LPPAp4ZSv/85z/PK9v58PX1xdfXl4yMjAt2TREREREREW+kpqbi7++Pj8/v7398ffXrGHn5tErwfB3cs6dF6UR+d2oruqUWp/GekV9YqPUvoVjkKCwWaWaRiIiILVW5YtFnn33Gpk2bAPjqq68YNGgQ4JlBM2rUKD744APAM8Nn/vz5ZRr7tttu4/Dhw8yePZsXX3yRa665pkznP/vss2RmZhITE8P3339PixYtAAgJCWHixImMHz8egJdeeokTJ06UaezzZRgGoaGhpKamkp2dfUGuKSIiIiIicr5OnDhBeno6NWrUKO7IsPLwShYcWECH/QY+BSbOmtH4NWlicVIRTyu6omJR+pIlFqfxnlHchq6kYlFhGzrNLBIREbGlUrWhs5PPPvsMgAEDBtCrV6/T9t9444089dRT7Nu3j8mTJzNw4MBSj31yi4OyyszM5KuvvgLgT3/6EzVK6FP8xBNP8OGHH5KWllYuLe9KKzo6muzsbOLj4wkLCyM0NBSn03nBWuFVJLfbTV5eHjk5OcUt90TsRvex2J3uYbE73cNid3a/h03TxO12k5OTQ0ZGBllZWURERBS3FXe5Xfxz9T/BNLljbQSQSNiQIVXi7xmxv/qh9TE7tsX11SY4cJCMRYsI6dvX6ljnzZHvaWHvExBUwk6tWSQiImJnF7xYtGTJEubOncvRo0eJjIzkkksu4fLLLy+XX+SzsrJYUvhOnSFDhpR4jGEYXHHFFbz33nvMnTvX62uW1uLFi4tn7pwpW+PGjWndujXbtm0rXr/oQnA6nTRo0IDExETS09NJSUm5INe9EEzTJDs7m8DAQP2xKLal+1jsTvew2J3uYbG7qnIPOxwOgoKCqFu3LuHh4cWPz9ozi+3J2+l5IJCo3YkY/v5E3XmnhUlFTtW/1RCWtNnMJVtMDt57H3Vff42wwfZcu8hR1IYuIPD0fVqzSERExNa8Lhbl5eXx8MMP43a7CQgI4PXXXy/xD5Ds7GxuvvlmZs2adcrjr776Kt26dWPmzJnUr1/fqyzbtm3D7XYDEBsbe8bjivYdOXKE5ORkIiMjvbpuaWzevPm0658p27Zt29iyZUuFZzqZ0+mkdu3a1KpVi/z8/OLvo93l5+fz22+/cckll+Dr62t1HJHzovtY7E73sNid7mGxu6pwDzscDnx8fEqcGfXJlk/ANLlrVRiQQcSNo/CtVevChxQ5g8saXcbwYa/j6zLptT2fhAcfwv3SS9S45mqro5WZM9/zWoFfCTOLDMNTLNLMIhEREXvyulg0d+5c3n33XQzDYNy4cWd8p9p9993Hd999V+K+lStXctlll7FmzRqCgkqYylxKhw4dKt6uV6/eGY87ed+hQ4cuSLGoKFtERASBgae/A+eP2U5+LiXJzc0lNze3+Ou0tDTA84dgfn6+V1kNw/Cq5V5l4na7KSgowOl0VpnnJNWP7mOxO93DYne6h8Xuqso97HK5cLlcpzx2OPMw+1L30SnOQejOQxj+/oSNHev130RSuRT9PO36c60dUJvOdbvz1lUrCQiLpNPKZA4/8QRu0yR0xHCr45WJs7ANncM34LSfR/FbTk3Ttj+rimL3e1hE97DYXXW+h8vynL0uFi1YsKB4++abby7xmI0bN/LZZ59hGAamaRIdHU3v3r1JT09n4cKFuN1udu7cycsvv8yLL7543lnS09OLt89WdDp538nnVKSi65yrGFa0/1y5XnnlFSZOnHja43PnzvWq4FZVzZs3z+oIIl7TfSx2p3tY7E73sNhdVbyHV+euBtPk5kWeIlhyt27sWLnS4lRSUex8D1/ivoTNzs28cmkqT5h16LTqMPv/8x/infZaRywkz1MS2rpjF3tcs0/Zd2LvXqIBd34+s2fPLuFssfM9LAK6h8X+quM9nJWVVepjvS4WrV27FgBfX18uueSSEo/56KOPME0TwzDo0KEDP//8M1FRUQD88MMPXHXVVbjdbj766CMmTpxo63e7XShPPPEEDz/8cPHXaWlpNGjQgMGDBxMWFmZhssolPz+fefPmcdlll9m25YaI7mOxO93DYne6h8XuqvI9vGjJIjr8YtIoIRcjIIBOL7yAT3SU1bGknFWVe7j+wfo89NtDvN/jGB+sgoBjx7iif38cNnrD57KXnwCga8+LadB9wCn7VuXsB37Bx+Fk4NChFqSrvKrKPSzVl+5hsbvqfA8XdSQrDa+LRXv27MEwDJo3b46PT8nDndx+7u9//3txoQhg2LBhXHvttcyYMYPExETWrVtH165dzytLaGho8fbZKmYn7zv5nIpUdJ1zVfKK9p8rl7+/P/7+/qc97uvrW+1u+NLQ90WqAt3HYne6h8XudA+L3VW1e9htulmdsIK//uqZ6RBx000E1omxOJVUJLvfw4OaDGJs0lg+3fIpJ0INItJduHbvxr9LF6ujlYppmvgWeNYjCgoNP+1n4Sz62sTWP6eKZPd7WET3sNhddbyHy/J8vZ7vnJycDEB0dHSJ+3ft2sXBgwcxDIPo6GgGDx582jFDT3rHyaZNm847S926dYu3ExISznjcyftOPqciFV3nxIkTZGdnn/G4omwXKpeIiIiIiIgd7UjewcWLk2l6FBxhoUTdeYfVkUTO6S+d/0KHmh3YVcfzdfbG838N5ELLc+fhU7hsmH9AyGn7DYenS4zhNi9kLBERESknXheLcnNzgTNXqBYtWlS8femll2IYxmnHNG7cuHg7KSnpvLO0bt0ah8PzlDZv3nzG44r2xcTEEBkZed7XK4vY2NjTrl+Son1t27at8EwiIiIiIiJ2tW7tbEYt8swqqv23x/GJUvs5qfx8Hb481+s5dtfxvDaSsWGtxYlKL6cgB78Cz7Z/0OndUIzC12MMU8UiERERO/K6WBQS4nk3yZmKPL/++mvxdr9+/Uo85uQ1ivLy8s47S1BQEL179wZgzpw5JR5jmiY//fQTQImznCpKnz59CAwMPGu2/fv3s23btgueTURERERExE5M0yTq3zPwK4C0Dk0IH3mN1ZFESu2iGheR1qw2AGnr7VMsyi3ILS4W+Qacvs6Sw+lZmsBQrUhERMSWvC4W1a9fH9M02b59Ozk5Oafsc7lc/Pjjj8Vf9+/fv8QxilrZgfdrCI0ZMwaABQsWsGLFitP2z5gxg7179wIwevRor65VFsHBwVx77bUAvPfee6Smpp52zKuvvgp4vgdXX331BcsmIiIiIiJiJ4nTvqThrlRyfCH62adK7GAhUlkZhkGTHoMA8DmSRMFJr4lUZjk56cXbjoCA0/YXzyxSGzoRERFb8rpY1L17dwBycnKYNGnSKfumTp1KYmIi4FmDp1WrViWOUTSbBjzFJ2+MGTOGdu3aYZom1157LfPnzwfA7XYzY8YM7rrrLgCGDBnCwIEDTzl3woQJGIaBYRjExcWVOH5iYuIpH0UyMjJOeTwrK+u0c59//nmCg4M5fPgwI0aMYNeuXQBkZmby/PPP8/777wPw9NNPExER4dX3QUREREREpCoqOH6cY/98DYDZA8No2uZiixOJlF3fVpdzsLBzYuaG9ZZmKa3crIzibYef32n7jcKuMWpDJyIiYk9eF4tuvvnm4u2//vWvTJgwgblz5/Laa69xzz33AJ53zdx6661nHGPZsmXF2y1btvQqj4+PD7NmzaJx48YkJCQwaNAggoODCQ4O5oYbbiAtLY1OnToxZcqU8xq/Zs2ap3wUuf/++095/B//+Mdp5zZp0oTp06cTFBTEokWLaNGiBTVq1CA8PJznnnsO0zQZN24cf/3rX8/7+YuIiIiIiFRl6fN/wZGZTVwtyBk5SLOKxJY61OxAfH1/AOKWz7M4TenkZXuKRW4DKGHd6t9nFl3IVCIiIlJevC4WDRw4kMGDB2OaJnl5ebzwwgsMGTKEv/3tb8Wza8LDw3n44YdLPD89PZ25c+cWH9emTRtvI9G4cWM2btzIs88+S2xsLIZh4OvrS5cuXXjttddYvny5ZTN3hg4dysaNG7nrrrto3LgxOTk5REREcNlllzFz5kz+7//+T3/siIiIiIiInEHegXgAtjY06FG/l8VpRM6Pj8MHn7ae7isn1q2yOE3pFBWLCnyMEl+3MByaWSQiImJnPuUxyLRp0xg+fDhLliw5bV9ISAjTpk07ZRbOyaZMmUJOTg6GYTBgwIDyiAN41v2ZOHEiEydOLPU5EyZMYMKECWc9xiyHX3qaNWvGhx9+6PU4IiIiIiIi1U1m3B4AjtYwGFOnp8VpRM5fk16D4YsNBO8+jNvtxuHw+v28FSo3O5MAPMWikjgcnpeYDNWKREREbKlcikXh4eH89ttvfPPNN8yePZuDBw8SEBBAly5duOOOO6hbt+4Zz50xYwaNGjUC4IYbbiiPOCIiIiIiIlJFpe/bjR/gU78e0YHRVscROW9del/LHuc/Cclys3vrElrE9rU60lnlZ2cC4PJ1lrjfUbRmkVvVIhERETsql2IReNYlGjlyJCNHjizTefPnzy+vCCIiIiIiIlKFmaaJcfgYAPVbdbU4jYh3goPCSWoQRkxcGlt++7bSF4uyslIAcJ+hWFS8ZpHa0ImIiNhS5Z7jLCIiIiIiIlLIlZKCb3Y+AK3b9rM4jYj3fGM96zanrK/86xalZiR5Nvx8S9xvONWGTkRExM5ULBIRERERERFbOLprIwDJIdClUS+L04h4r3HPQQDU2HOcY1nHyFy5kkNPPkX6zz9bnOx0qenHATD8/EvcX9yGTsUiERERWyq3NnQiIiIiIiIiFWn35kXUAtJqBhHmF2Z1HBGv1exyMelA06Nw4LYxBG2JAyBz2TJCBw2yNNsfZWScAMAZEFDifofhxI3WLBIREbGrCikWud1u9u3bR0pKCllZWZhl6Fd7ySWXVEQkERERERERsbmjuzdSC3DWq2t1FJFy4deoEfnB/vhl5uK3JQ7D1xezoICCw4fJP3YM31q1rI5YzJXkaUPnDA8vcb+hmUUiIiK2Vm7FIrfbzWeffcZnn33GypUryc3NLfMYhmFQUFBQXpFERERERESkCsneHwdARLPW1gYRKSeGw4Fj+CAyvvuBpR38ufvvP3Bo/D3k7tpNzubN+F56qdURi/kc88ws8qtfv8T9RcUih4pFIiIitlQuxaJDhw4xfPhwNmzYAFCmmUQiIiIiIiIi53I08yjBx9MBaNCqq8VpRMpP6+depV/r5aTmptLPeZxa7dqTu2s32Rs3ElpJikVu001IYiYAwQ2alHiM0+F5icnQa0IiIiK25HWxKC8vj4EDB7Jjx45THnc4HERFRREUFOTtJURERERERKSaW310NbU9ExsIb9LC2jAi5cjpcNKrTi/mxM1hccJibmnfjtSvvyZn02aroxU7kXOC6BQ3AOGNLyrxGMPp8HxWrUhERMSWvC4Wvffee+zYsQPDMDBNkxEjRvDQQw/Rq1cv/P39yyOjiIiIiIiIVHNrDiznWs/EInwbNLA2jEg5612vN3Pi5rAkYQl3tHsagOxNmzBNE8MwLE4Hx7OPUzPVsx3QoHGJxzgcakMnIiJiZ14Xi7766qvi7QcffJA33njD2yFFRERERERETrF323IcgDvQH2dkpNVxRMpV77q9AdiStIXsfrUw/Pxwp6WRv38/fo0bWxsOOJaSQM0Mz7ZvvbolHuNwFrWhu1CpREREpDw5vB1g27ZtAAQHB/PKK694HUhERERERETkZEcyj+BOOASAf4MGlWKmhUh5qhlUk5YRLTExWX58FQGtWwOe2UWVQUrcTgDy/J04a9Qo8RijcGaRikUiIiL25HWxKCMjA8Mw6NChg9rOiYiIiIiISLlbdWQVtVI82wGNGlsZRaTCXFzvYgCWHFpCQPv2AGRvrBzFoqwD+z2fa4acsVhbNLPI4b5gsURERKQceV0sqlvXM/3Y6XR6HUZERERERETkj1YfXU1Mime6gm99rVckVVOfun0AWJKwhIB2sQDkVJKZRfkJCQAU1D5zC0iHw/MSk2YWiYiI2JPXxaIuXbpgmia7d+8ujzwiIiIiIiIipzh5ZpFfQxWLpGrqVKsTgT6BJOUkcbhhMAA5W7di5udbnAyMw8c9n+vUPuMxxTOLALdb04tERETsxuti0Z133gnA4cOHWbRokdeBRERERERERIqcyDnBgfQD1D6hmUVStfk6felRpwcASxx7cYSFYeblkbNzp8XJwO9YCgD+Z/n353D4FG+73a6KjiQiIiLlzOti0eDBgxk1ahSmaXLfffeRlpZWHrlERERERERE2Jy4GUyTmFTPOimaWSRVWVEruu/3/oBf29ZA5WhFF5KY5fncsMkZj3H4/L48gdtl/WwoERERKRuvi0UAkyZNYvDgwWzevJnevXuzdOnS8hhWREREREREqrnNiZupkQl++SY4HPjWqWN1JJEKM6jRICL8I9iTuofF4UcByN5obbGowF1AxAlP8adGk5ZnPE4zi0REROzN59yHnN3zzz8PQPfu3VmzZg1btmyhb9++tGrVil69ehETE4Ofn1+px3v22We9jSQiIiIiIiJVxKbETdRO8Wz7xsRglOHvSxG7iQqM4t+X/ps7frqD+SHxdMX6mUXHkw9SwzOxiOimbc54XNGaRQAuV0FFxxIREZFy5nWxaMKECRiGUfy1YRiYpsn27dvZvn17mcdTsUhERERERKR6M02TvD178G3YkM2Jm2lXtF5Rw4YWJxOpeB1rdeSVvq/wYtojgJuc3btwZWTiDAm2JE/i3m34AFkBBr7hNc54nOH4vXmN6XJXfDAREREpV+XShs40zVM+SnqsNB8iIiIiIiIiabNns3f4CHaNuh7H8WTqFK1X1KC+xclELozBjQdzR/9HSQwDw4TNC7+yLEtq/C4A0iIDznqc0+lbvK01i0REROzH65lFY8aMKY8cIiIiIiIiIgBkrVoFgHvbTv6+HzIjA4FsfBtoZpFUH6PbjGZWuylELzlAzj//g6v/SJwhIRc8R3b8fs/nmqFnPc7hdBZva80iERER+/G6WPTJJ5+URw4RERERERERAHJ37wYgP8iP8Kw8wrOyAc0skurFMAwaPPYUibfeQ/TRDA4+/RQN33zrlKUALoSChATP59qRZz3O4fj9JSa31iwSERGxnXJpQyciIiIiIiJSHkzTJHeXp1j05V3NWNT29xfG/Ro3tiiViDU6tujLf2+OocABWXPmcuKLLy54BseRRM/nujFnP855UrFIM4tERERsR8UiERERERERqTQKjh3HnZoKDge/BsbznxEOfJ55kJoP/AX/Vq2sjidyQTkMB237XcOUAZ6Xb47+/VWyN226oBn8j6V6PjdocNbjHI7fX2LSzCIRERH7UbFIREREREREKo3cXbs8G/XrkG7kEuIXSrOb7yL6T3+64O23RCqD4U2H80M3g1UtHJCfz6HHn8A0zQt2/ZAkTxvIsAbNznmsq/CfqOnSzCIRERG78XrNojPJyspiw4YNJCYmkpqaitvtZvTo0RV1OREREREREakCiopFqfXDgaO0jW6Lw9D7HKX6alqjKW2i2/Lu0C1M2u9L3p495GzcSGCHDhV+bVdGJsFZnsJPRNNzz+wzDcAEl1szi0REROymXItFbrebL7/8knfffZdVq1bh+sM7SUoqFv3lL38hMdHT//Y///kPUVFR5RlJREREREREbKSoWHQg2jNFoV10OyvjiFQKw5oM459JW9nWNpTYtcmkzvrfBSkWZR3YB0B6ALSs2ficx7s1s0hERMS2yu3tWXv37uXiiy9m9OjRLF++nIKCAkzTLP44k1q1ajF16lSmTZvGlClTyiuOiIiIiIiI2FDu7t0AbArzrJMSGx1rZRyRSmFIkyE4DAezLkoBIG32bMz8/Aq/btLebQAk1jAI8ws75/FmYbHI7VaxSERExG7KpVgUFxdH3759WbVqVXFxKCgoiI4dOxIREXHWc++6667iRRBnzJhRHnFERERERETEhky3u7hYtCroKADto9tbGUmkUqgZVJOedXqysYlBXlggrhMnyFy6tMKvmxa/x/M5KrBUa4a5C19lcmtmkYiIiO2US7Hohhtu4PDhw5imSf369Zk2bRopKSmsXbuW7t27n/Xc2rVr07t3b0zTZMWKFWRkZJRHJBEREREREbGZ/EOHMLOyMH19OFzDTe2g2tQMqml1LJFKYXjT4bgdBsvbelYUSJ31vwq/ZnZ8HAA5Nc89qwg0s0hERMTOvC4WffXVV6xevRrDMGjWrBmrV6/m+uuvx8en9Msh9enTBwCXy8WGDRu8jSQiIiIiIiI2lLvTs15RWkwoLqeh9YpETjKw4UBq+NfgxxZZAKTPn48rI7NCr+k6dMTzOaZ060ubhbOP3K6CCsskIiIiFcPrYtHMmTOLt99//31q1apV5jHat/+9rcCuwsVMRUREREREpHrJLfx7cHPhekXXtrjWyjgilUqQbxBj245lTx04Fu2LmZND+s/zKvSaziOJADjqxpTq+KKZRaba0ImIiNiO18WiFStWABATE8PAgQPPa4zo6Oji7aSkJG8jiYiIiIiIiA0VFYv2R0Pver3pU6+PxYlEKpebWt1EREAkC1p7ijFp//u+wq7lzsoi5GAyAP7NmpXunMJXmUy1oRMREbEdr4tFR48exTAMWrRocd5j+Pv7F2/n5eV5G0lERERERERs6MS2jQAcqungr13/anEakconyDeIsbFjWdzWM4Unc9ky8o8dq5BrZa1Zi8NlciwcwhpfVKpzitrQudxqQyciImI3XheLitYmcrvd5z1GcnJy8XZERIS3kURERERERMRmXPl5mHEHAIjtPpRmNUo3k0Gkurmx5Y3kxUSyox7gdpMyY0aFXCdrpaeTzJaGBrWCapfqnN/b0J3/a0QiIiJiDa+LRbVr18Y0Tfbu3XveY6xdu7Z4u27dut5GEhEREREREZv5afGn+LhMcn1h9CDNKhI5kyDfIMbFjuPHrp6XdBI//pgtu5ay6fgmUnNTy+06qcuWALC1kYMWEaXrJlNcLFIbOhEREdvxuljUuXNnAA4dOsTGjRvPa4wZhe+CMQyD3r17extJREREREREbCSnIIf5Cz8FIL9RDFFB0Wc/QaSaG9VyFDs6RrE3BsjK5seJd3Lz7Ju54X83kOvK9Xp8V0YG+Vt3AJDdoRk1AmqU6ryiNnQqFomIiNiP18WiESNGFG8/+eSTZT7/gw8+YNu2bRiGQc+ePYmKivI2koiIiIiIiNjIjJ0zCE9IAaBOux7WhhGxgSDfIB7t8Rizr/C8hnL5OpP6ab4cyjzEd7u/83r8rNWrMdxuDkdAq1Z9Sn2eWfgqk1tt6ERERGzH62LRDTfcQLNmnl7SP/74I/fff3+p1y/64osveOCBB4q/fuKJJ7yNIyIiIiIiIjaSXZDNx5s+psFxz9eBzVtaG0jEJoY3Hc47jy8m+OJe+Ljgqc2e12Y+2/IZLi9n9mStWAnAlkYGPeqUvoBbNLPI7cr36voiIiJy4XldLPL19eWdd97B6XQC8O677xIbG8u7777Ltm3bKCgoKD72xIkTbN++nU8//ZQBAwZw2223kZeXh2EYjBw5kmHDhnkbR0RERERERGxk+o7pJOUk0STZ8zelf/PmFicSsZeaDz8CQNRvW4hNDiY+PZ6f43/2asyUpYsA2NbISedanUt9XvGaRaZmFomIiNiNT3kMMnjwYD788EPuuusu3G43O3bs4P777z/lGNM0iY6OPu0xgJ49ezJ58uTyiCIiIiIiIiI2kZWfxf9t/j8i0k1qJXleXPZv0cLiVCL2EhjblrChQ0mbPZtHvncwp5GL5QffoP+YtvjXr1/m8VwpKbh27sEAXB1bE+IXUupzTUfhmkUurVkkIiJiN17PLCoyduxYFi5cSOPGjTFNs/gDwDAMDMM45XHTNHE4HNxzzz0sWLCAwMDA8ooiIiIiIiIiNjBtxzSSc5K5ckcohtsksFMnfGvXsjqWiO3UfPABjKAgghNOcO1Skxs+j2fvoMtInTWrzGNlrV6NYZocjII2LXuX6dziNnSlXJ5AREREKo9yKxYB9O7dm507d/Lll18ybNgwatSocVrhCKBp06b86U9/YsuWLbz77rv4+fmVZwwRERERERGp5LLys/hk8ycYpsllGz0vMNe4/nqLU4nYk1/DhjT97ltqP/M0cf0u4lCk5/G0OT+VeazMFSsAz3pF3WO6l+3kojZ0roKzHyciIiKVTrm0oTuZ0+lk1KhRjBo1CoCDBw+SlJREZmYm4eHh1K5d+7R2dCIiIiIiIlK9fLP7G07knuDSYzXxO3oER0gIYVdcbnUsEdvya9CAyFtuof1V/fnL20N48dN80letxHS7MRylf69wyrLFAGxv7MvdtTqWKUPRzCLTrTZ0IiIidlPuxaI/ql+/PvXPo0euiIiIiIiIVF3rjq0D4Nrt4cARwkYMxxEUZG0okSqgXkg9WvS4gpwp/yMgPYPcXbsIaNmyVOcWJCdj7o4DwOgcS6BP2ZYMKF6zSG3oREREbKdc29CJiIiIiIiIlMaO5B2EZplEr9oDQIRa0ImUm7s638OO+p7CzZ6FpV+3KOO33wDYXxPaX9SnzNc1i9rQqVgkIiJiOyoWiYiIiIiIyAWVXZBNfHo8l2w2MfILCGjThoA2bayOJVJlNA1vitmhNQB7FpSuWOTOzSXxP28DsLyVg+51yrheESe1oXOpDZ2IiIjdqFgkIiIiIiIiF9SelD243S4Gb/C8sFzjBs0qEilvvYbeAUDNnYmsObL6nMcnf/Ip+QkJJIXCvF6BtI9uX/aLFrahc2vNIhEREdsp1ZpFl156aUXnAMAwDObPn39BriUiIiIiIiLW2JG8g5YHoU6iCyMwkLDhw62OJFLlNOw5iK0+Dmpkufnwp3/QefQ0jMKZP3+Uf/QYiR9+AMCU/g5iG3TB1+lb5mu6i9csUrFIRETEbkpVLFq4cOEZf6EoL6ZpVvg1RERERERExHo7T+xk4AbPmiZhQ4bgDAmxOJFI1ePw88O/QzsK1mzAXLeFZZct4+K6F5d47PE338TMymZnXVjezpdPOvzp/C5a9LqO2zzP1CIiImKVUrehM02z1B+lOeePx4iIiIiIiEj1EJewhV7bPH8H1rj+OovTiFRdNXp4ikNtDpj8a+2/yHflA5B3MIH8hARcqalkr19P6rffAvDJZU6e6fUsHWt1PL8LFq1Z5C7wNrqIiIhcYKWaWfTJJ5+c85j09HSef/55kpKSME2TyMhIBg0aRNu2bYmKisLf35/09HT27dvHypUrWblyZfFsouuvv54hQ4Z4/WRERERERESkcjNNk+jFW/EvAJo0ILBjR6sjiVRZQd26Ae/R5gD8J3ELD//6MM/sjiXpjbdOO/bXWIPul97MyOYjz/t6ZtHEIrWhExERsZ1SFYvGjBlz1v379u1j8ODBJCUlUbt2bV599VVuuukmfHzOPHxcXBxPPfUUX375JTNnzqRVq1ZMmDChTOFFRERERETEXg5nHKb3mmwAom64Ue3IRSpQYIcO4ONDVFoB9dP9SFz0C8en/owDMPz8MPPyAEgNgq03dOH1bn/16nqmo7CBjUsdZEREROymVMWis8nJyWHkyJHs2bOHiy66iAULFlCvXr1znte4cWOmTJlChw4dePzxx3nhhRdo3rw5t9xyi7eRREREREREpJLat/JnmhyFAqdB5NXXWB1HpEpzBAURGBtL9vr1vJQzhPzvvsZhwsbuNfnkykCOpCUQmAsNal3EB8P+ja/D18sLej5pZpGIiIj9lHrNojP54osv2LBhA4Zh8PHHH5eqUHSyxx57jEsvvRTTNHnyySe9jSMiIiIiIiKVWO433wMQ36UuPhERFqcRqfqCunUFIPDjrwnLgv21Hbx6STIJmYeIDKnFwwOf44trZhIRUA7/Ho2iapGKRSIiInbjdbFoypQpADRs2JC+ffue1xi33XYbAAcPHuS3337zNpKIiIiIiIhUQu7MTKIWbwMgZ2gfi9OIVA9BXbsWbztCQ4l8/e/E1uvM/Z3u5/trvuf6Ftfj4/C68QwAZuGrTKbbXS7jiYiIyIXj9W8DO3fuxDAMmjRpct5jnHzuzp07ueSSS7yNJSIiIiIiIpVM2pw5+OUUcKQGxPQeaHUcOQ+ZuQUkpGTTonao1VGklAK7dClen6juq3+nZddLmcyICrmWWTizSMUiERER+/G6WJSYmAhASkrKeY9x8rlJSUleJhIREREREZHKKHn6dADmd3TwYHRri9NIWZmmye2frmLFvmS+va83HRvUsDqSlIIzJIQGH32EmZdHSN8KntHnMDyfXWpDJyIiYjdet6GrWbMmpmmyefNmjhw5cl5jzJ0795TxykN6ejoTJkygXbt2hISEEB4eTrdu3Xj99dfJy8vzauyjR4/yyCOP0LJlSwIDA4mMjKRv375MmjQJ0zTPem5BQQEff/wxl112GbVq1cLX15fQ0FDatWvHAw88wJ49e7zKJiIiIiIiUhkVHD9O7oaNuA3Y0DWC6MBoqyNJGS3ceZwV+5IBWLon0eI0UhbBPbpXfKEIwPAUizSzSERExH68nlnUrVs3Dh48iMvl4qGHHuLLL78s0/kbNmzg448/PmU8b+3fv5/+/fsTFxcHQFBQELm5uaxevZrVq1czZcoU5s+fT8R5LKa6Zs0aLr/88uIZUCEhIaSnp7N48WIWL17MzJkzmTVrFn5+fqede+LECYYMGcKKFSuKHwsNDSU7O5vNmzezefNmPvjgAz7//HOuv/7683vyIiIiIiIilVDO9h0AHIqEmIaaVWQ3pmny5rydxV9vSUizMI1UWg4Vi0REROzK65lFY8eOLd6ePn06N998M8nJyaU694cffmDQoEHk5uZiGAYdO3akXbt2XuUpKChgxIgRxMXFUadOHebNm0dmZiZZWVlMnTqV0NBQ1q1bx6233lrmsVNTUxk+fDhJSUm0atWKVatWkZ6eTmZmJm+//Ta+vr789NNPPPjggyWe/+CDDxYXiiZMmEBiYiJpaWnk5OSwcOFC2rZtS25uLmPGjCEhIcGbb4OIiIiIiEilkrvTUyyKr2XQMqKlxWmkrOZtPcrGg6nFX285lHqWo6W6Mh1as0hERMSuvC4WjRgxghEjRhS3X5s2bRrNmjXj7rvv5uuvv2bnzp0kJSWRnp7OoUOHWLp0KW+99RYXX3wxV155ZfEMHafTyfvvv+9tHD777DM2bdoEwFdffcWgQYMAcDgcjBo1ig8++ACA2bNnM3/+/DKN/dprr3HkyBECAwOZPXs2Xbt2BcDPz4/77ruPiRMnAvDhhx+yc+fOU87Nzc1l2rRpAIwZM4bnnnuOqKgowPPc+/Xrx3fffQdAdnY233///fk8fRERERERkUopZ4enWLS/pkGLyBYWp6neTNPk3ilruOKt3zialnPqzswk2PY/WPUx7JwLx7bjzsngg3kbqEsiD7XLpaFxlLikLNJz8q15AlJ5Fbeh05pFIiIiduN1GzqAKVOmMHz4cH777TcMwyA1NZVJkyYxadKks55XVGDy9fXlv//9b7m0oPvss88AGDBgAL169Tpt/4033shTTz3Fvn37mDx5MgMHDiz12JMnTy4eo0mTJqftv//++3n55ZfJyMhgypQpxcUj8LSgy83NBSguMv1Rs2bNiIyMJDk5mYyMjFLnEhERERERqexyd3jeUBdfC27RzKKKcXwn/PZPGPAERDY942Er9iUze5NnzeHxn69h2q0tCFj6GuxdCMe3n3a8A/gKIADYBff7G9yQ+wzbDveie5PIingmYleFbehwn309ZxEREal8vJ5ZBJ51e+bOnctTTz2Fr68v4CkEnesDoH379ixatKhc1ujJyspiyZIlAAwZMqTEYwzD4IorrgBg7ty5pR57x44dxMfHn3XskJAQ+vbtW+LYtWvXJjg4GIDVq1eXeP6ePXuKW/idqaAkIiIiIiJiN2ZeHrl79gBwKMaPpuFnLmSIF+Y+DZumw88TznrYh7/tLd7ed+Agie8OgRXvFxeKciNakFCrPyfCWpHnG1Z8rMvwAd8gHJjc7jOHzQlqRSenMjWzSERExLbKpVgEnlZsL7zwAnv37uWFF16ga9eu+Pn5lXhsnTp1uOGGG/jf//7H2rVr6d69e7lk2LZtG+7CvrixsbFnPK5o35EjR0q9vtLmzZtPO/9sY2/duvWUxw3D4O677wY8s58mTpxY3ILP5XLx66+/ctVVVwFw/fXX069fv1LlEhERERERqexy98VBQQFZ/tC2TT98nb5WR6p60o/C7p892zt+hKyS/9bddTSdX7YfwzDgH8Mb8bnfq9TP3UWWbyT7B77Pg42+puXhCfSOH0+nY8/SIv19YnMm0Y3/kvHXw3Cn5xqDHas5sH/vKWNPWxXPZW/8yu5j6SVe9+lvN3E8Pbd8n7dULoVrFmFqzSIRERG7KZc2dCerW7cuTz31FE899RT5+fnEx8dz4sQJ8vLyCAsLo1atWtSqVau8LwvAoUOHirfr1at3xuNO3nfo0CEiI889bb6sY6elpZGRkUFISEjxvpdeeonExEQmT57MhAkTmDBhAmFhYWRlZVFQUEDTpk159dVXeeSRR86ZJzc3t7itXdH1APLz88nPV9/oIkXfC31PxM50H4vd6R4Wu9M9LHZXGe7hzK1bANhfEwY1vEz/niqAY/2XOM3C2RyuPFzrp+Ludtdpx334m2eG17AWIVy37UEcjj0kmyHclPk3dvwQBuRgGNCzSST+Pg5cbhOI4sZu9QnyNciPbEF6VGcik9bSJH4m+fmXAJ7uIv/6eReHUnN4Z8Fu/jHy1DdZ/nfaFHod/4qp6Xdyz40jy/TcKsM9LKVjFnWhyy/Qz+skuofF7nQPi91V53u4LM+53ItFJ/P19aVZs2YVeYlTpKf//u6loKCgMx538r6Tz6mIsU8uFgUEBDBp0iTatWvHk08+SX5+fnGRBzxt9JKTk8nNzT3rNQBeeeWVU9ZEKjJ37txznlsdzZs3z+oIIl7TfSx2p3tY7E73sNidlfew/+yZNAIO1vKhzuYsZm+ZbVmWKsk0GbD9I8KAlMDG1MiOI33R+/x6/NQ3OqbmwddrnTgweezY4ziyt5LnDObv/k+wI7kBBiZdok0G13dTO/DYKecWxB1ldpxnOyKgO5ewlkE5c5j1v//h43RyIAMOpXpeYvh+QwLdfeIJKnzFISvlKI8kTSTMmUXm7o0s+XIvqeFtyvw09f9w5ZednQ3AsWPHmD1b/87/SPew2J3uYbG76ngPZ2VllfrYCi0Wyan27dvHVVddxaZNm7jxxht59NFHadmyJSdOnOCXX37hiSee4NVXX+Xnn39m4cKFpxSa/uiJJ57g4YcfLv46LS2NBg0aMHjwYMLCws54XnWTn5/PvHnzuOyyy4rX0xKxG93HYne6h8XudA+L3VWGe3jJf/8DQGCrVlw97GpLMlRph9fju/4gpk8AweNmYL5/MTWy9zO0S0Oo/fsMnzfm7cJl7uOlqJ9omLkV0y8Yxy3fMqF2B3pvPUabuqE0jgo+5+XM/Es58Y8p1DWS6RidS8Ne1/HGvF3UZB2dHTtZ4O5Ebu12XNejIeRnkfTvAYQZWeSavgQbOfSNewPz2o8xW3jWA84rcPPrzkT6XBRFoJ/ztOtVhntYSmfO9x8AidSMiuKyoUOtjlNp6B4Wu9M9LHZXne/hkyernEuVKhaFhoYWb5+tYnbyvpPPKcvYZyrInGlsl8tVXCgaPXo0n332WfG+kJAQxowZQ7du3ejcuTNr1qzh1Vdf5YUXXjhjHn9/f/z9/U973NfXt9rd8KWh74tUBbqPxe50D4vd6R4Wu7PqHnabbvzjDgPQqvvl+ndUETZPByC+1gCu+yie9wN70iVzEe71X+I//B+43SZH03P4YtVBOhi7uSlrCgDG0NfxadQdH+Cqzg1Kfz1fX34KGcKIjOkEbfwc30tu4vCmBcz2/zs1jTT2uOswacWf8e19HwWz/kZMzh6Om2FMqPkWVx19h8GsgZlj4ZoPoP31PPntBmasOchfBjbn4ctanOWy+n+4sjMcnj50hmnqZ1UC3cNid7qHxe6q4z1clufrqMAcF1zdunWLtxMSEs543Mn7Tj6nPMcOCws7ZWbQ3Llz2bRpEwCPPvpoiee2adOGYcOGAfDVV1+VKpeIiIiIiEhltm7nb9RI9yx23+3iay1OUwUV5MKmGQA8E9eB4+m5vH2iJwCZq75gwKs/0eqZOfR65RcKstN4N+BdHKYLYq+FDjee92UPNhuF2zSok7iE5FlP8c+sZ6hppGFi0MxxmFfSnyLz/cvw2fQlLtPghYBHeeymK/hT/oN85eoLpgu+u5fNO3YyY81BAFbuS/L++yHWcnheZjLdbouDiIiISFlVqWJR69atcRT+YrJ58+YzHle0LyYmhsjIyFKNHRv7+9T90ozdps2p/Ze3bt1avH22dZyaN28OeFrWiYiIiIiI2N3qpZ43wqXXDCYgLMLiNPYwadFe+v7jF3YcKcUauzvnQPYJDpuRLHbHMqprA9r1u4ZEI4JII50WqcvIc7kxDHg1aAr1zCMQ3gCGvQGGcd4Z6zVtw2/u9gBErn0bX8PF8qABGA9vY1GNq3GbBsFHVwHwz4JRtOo1jEZRwXRrWpNH8+/mcGh7cOWx+bs3i8fcnJCG222edyapBIruKVPFIhEREbupUsWioKAgevfuDcCcOXNKPMY0TX766ScABg8eXOqxW7RoQcOGDc86dmZmJosWLSpx7KIiFsD+/fvPeJ2jR48CpW+PJyIiIiIiUlkVuAs4smE5AP4tmlucxh5M0+TD3/ZyIDmbN+ftPOfxyUs+BeBrVx+u7tyAV0a24+HL2xLVazQAb9aew9b209lb/3mGu38BDE/7t8AaXuVsWzeMya7LAHDh4IX8W9jf/18QVgfniNe5Jm8ii93t+KTgcj7mSq7v4mlzd32XBpg4eD/vcgAGZX5PhJ8Lfx8HGbkFxCVlepVLLOYsfO1DRT8RERHbqVLFIoAxY8YAsGDBAlasWHHa/hkzZrB3714ARo8eXepxDcMoPn7q1KnExcWddsw777xDRkYGTqeTW2655ZR9nTt3Lt5+7733SrzGkSNH+OabbwDo1atXqbOJiIiIiIhURquOrCL6kOfF/9rte1icxh62HErjWHouAD9tPcLe4xklH1iQy76pf6XGwQUAHG0ykn9c2x5H0ZoxnW4FIOjENoJ2fotxfLvnvIHPQOPeXudsEhXMcp9u3J33IFflPs8n7mEMahMDQM8mUaREtufWvCeYWDCGy9vWoWaoZ83dIe1iCPZz8t/U9hwyo4g20ni99W7a1PWsC7wpIdXrbGIhQ23oRERE7KpKFovatWuHaZpce+21zJ8/HwC3282MGTO46667ABgyZAgDBw485dwJEyZgGAaGYZRYDHr00UeJiYkhKyuLYcOGsWbNGgDy8vJ47733eOaZZwAYP348LVqcuihn37596dChAwBvv/02Dz/8MIcOHQIgJyeHOXPmcMkll5CamophGDz88MPl900RERERERGxwPQd02l4zDPDIKhVm3McLQALth8r3jZNmLS4hBblCWtIebMnTbZ/iMMwmRd6NU+NuRIf50l/4tdsAYNfgvajYNAEuHkGPLwN+j5SLjkdDoM2dcL4yd2dzWZTujeJJCrEv3jfqG4Nio+9pUej4u0gPx+Gta+DCyefFng6cvQ/MZP2RcWigyoW2VpRGzoVi0RERGynyhWLfHx8mDVrFo0bNyYhIYFBgwYRHBxMcHAwN9xwA2lpaXTq1IkpU6aUeezw8HC+//57oqKi2Lp1K127diUsLIyQkBDuvfde8vLyGDx4MG+++eZp5zocDr766iuaNm2KaZq8+eab1KtXj9DQUIKDgxkyZAi7du3C6XTy1ltv0a9fv/L4doiIiIiIiFhixeEVzI+bR8NEz9cBLVuc/QQB4JcdnmLRNZ3qATBzzUGOF840wjRxL3oL90eXUSNzL8fNMCY3fIn+D36Cv4/z9MEu/jOM/BD6PAQtBkNY3XLN2rawwANwRduYU/Zd36UB0SH+dG0UQc+mp64VfH1XTyFpqmsALmcgjmNbuDRwFwAbNbPI3opa8KtYJCIiYjtVrlgE0LhxYzZu3Mizzz5LbGwshmHg6+tLly5deO2111i+fDkREee3sGqXLl3YsmULDz30EM2bNyc/P5/g4GD69OnDRx99xI8//oi/v3+J5zZr1oyNGzfy5ptv0r9/f6Kjo8nJySEgIIBWrVpx9913s3btWv7yl7948/RFREREREQsVeAu4O8r/07MCfArACMwEN8GDc59YjWXlJHL+gMpADx2RUs6NqhBXoGbycviwJVP/rd/xjH/ORy4+J+rJ99d/DW3jbsPX6c1f9q3rRtevD34D8WimqH+LP7bAL4c3xOjaLZJoa6NIvhT/2bcPqgTjk6eFu6dD0/FnzzaJHyF+XZ3+LA/5Gn9Irsxiu5FU2sWiYiI2I2P1QEqSmhoKBMnTmTixImlPmfChAlMmDDhnMfVrl2bN954gzfeeKPMuYKDg3nwwQd58MEHy3yuiIiIiIiIHUzbMY3dKbu59EQgkIF/8+YYzhJmvsgpft15HNOEi2sXUCfuOx5vE8x9B9L5eulW7t7/MCEJi3GZBi+7xxA78q/c2am+pXkvviiKQF8nvZpFUbdG4Gn7A3xL/pkbhsHfrmjl+SLxHlg9iZC4uSz2X0FNIwUKZ6Ox4gPoqxbttqI1i0RERGyryhaLRERERERE5MJLzknmnXXvADDS7AQsUgu6Uvpl+zHqkMR72S/BN0foCawJgDzTiV+Ci0zTn2d9H+HW0ePp1PD8umWUp/oRQSx/YiD+vl7MbIpuDhddhrF7HjWNFBLMKFwNetPw4CxY8i+Ot7yFf/x6mAZ55ZdbKpDDM4vMULFIRETEdlQsEhERERERkXLz77X/Jj0/na4+zYiZuwE3ENips9WxKr0Cl5stO3cxxe8lwvOOQHAt8AnATD2An+HiiBnBm9HP8/jYUdQMLbn1uRXCg3y9H2TIq/BrJN+ktuCvO5ozplZTnsndCce3s276S8w4eDkhvk6uTc+lXmQ5XE8qjqE1i0REROzK68bGf/7zn9mwYUN5ZBEREREREREbO5p5lK93fQ3Aw4tq4E5LI6BtW8KvHGFxsspv/c59vOt+gaaOI5jhDWD8AnhoE7mPHeTNllOYfvH3vHjvrZWqUFRuoprByA8xO9xIAT5sPJQOA54C4OLj04gkjYx8g0dnbsLl1lo4lZqzqA2dfk4iIiJ243Wx6N1336Vz58507dqVDz74gPT09PLIJSIiIiIiIjaz48QOTEyGH6qNz8IV4HRS54XnMXzU1OKs8rOp+/2ttHYcINUnCmP0dxDuWY8oICiEh24azl8uj8XX6fWf8JVau3rhAGw5lIar5XAOB7cixMjhibA5+DlMlu1N5u1fdlucUs7GcHjuUcNUsUhERMRuyu03zXXr1nHvvfdSp04dxo0bx+LFi8traBEREREREbGBvSl7Ccw1GTkrCYDIsWMIaNPG4lQ2sOYz6mZuJdkMYc0ln3hm2lRDTWuGEOTnJCvPxaZDaTyfORKAkQU/ckejRAD+NX8ny/YkWRlTzsYomlnksjiIiIiIlJXXxaJBgwZhGAamaWKaJllZWUyePJl+/frRunVrXn/9dY4fP14eWUVERERERKQS25u6lxt/dRNyIgffBg2o+ec/Wx2p8nMVULD0bQDeKLiBzl17WRzIOk6HQWxdz+yi52Zt4cectmx0tMHpzuWG/Flc27kubhMemLqOjNwCi9NKSYpnFqkNnYiIiO14XSyaO3cue/fu5ZlnnqFhw4YAxYWjnTt38thjj9GgQQOuv/565syZ43VgERERERERqZxO7N7K5Ws8LxLHTHgOR2CgxYlsYNt3+KQdIMkMZX/Dq6gR5Gd1IkvFFrai23AgBTA42uURABom/caEfpHUjwjkWHou87cdtS6knFlRq0QVi0RERGynXNrQNWzYkIkTJ7Jv3z7mzJnDtddei5+fX3HRKC8vj6+//pphw4bRqFEjJk6cSHx8fHlcWkRERERERCoB0zRpuGiP54/Mnp0J6d3b6kiVn2niXvJvACYXDOaGni0sDmS99vXDi7cjg/3oM+hq3PV74DTzCVr7PiM61AVg3lYViyqjoplFptYsEhERsZ1yXR3TMAwGDx7MjBkzSEhI4PXXX6dt27bA77ONDh48yPPPP0/Tpk25/PLLmTlzJgUFmj4uIiIiIiJiZ8czjtJzQw4AtW640eI0NhG3GMfh9eSYvswOHM7lbWOsTmS5oplFALf1bESgvw/u3g8B4Fj7GUOa+gKwcMdxcgu0Lk6lYxS1oXNbHERERETKqlyLRSeLiorioYceYtOmTSxbtozbb7+dkJCQ4qKR2+3m559/ZtSoUdStW5dHH32Ubdu2VVQcERERERERqUDxC38gOh2yAh1EDBxsdRx7WPofAGa4+jGsZyx+PhX2J7ptNI0Opkl0MJHBftzWqxEAZrOBpAQ2xsjPpN2BL6gV6k9GbgHL9iRZnFZO4zA8n9WGTkRExHYuyG+iPXr0YNKkSRw+fJhJkybRs2dP4PfZRomJibz55pvExsbSu3dvPvvsM3Jzcy9ENBERERERESkHebM8a9Tu6VYXh7+/xWls4Nh22PUTbtPgU/dQbu7e0OpElYLDYfDdn3vz88P9iA4pvI8Mg50xIzybKz9iWMtgQK3oKiPD6fRsmJpZJCIiYjcX9G1LwcHB3H777SxdupSPP/6YgIAADMPAMDzvPDFNk+XLl3P77bdTr149Jk6cSFpa2oWMKCIiIiIiImXkSksjbLmnU0T6Zd0sTlNJuV2wYRrMeQKm3gJTrgPgJ3dXWsd2olZYgMUBK4+wAF8ig/1OeexweBfM6JaQm8ptjrmAp1jk1gyWSqVozSLNLBIREbGfC1osSk5O5l//+hft27fnzjvvLJ49VDTD6OTt5ORknn/+edq0acOCBQsuZEwREREREREpg7TZP+LMdxEfDdEdu1sdp3L6eQJ8Mx6Wvwvbv4fUA7hMg/cKrmTMxY2tTlf5GQ5cFz8AQJPdn1HHP5dj6blsOJhibS45lVFULNLMIhEREbu5IMWiefPmMWrUKOrVq8fDDz/Mli1bTikQDRo0iOnTp7Njxw6ee+45GjRoUHzuoUOHGDp0KBs3brwQUUVERERERKSMUr/5BoCF7R00rdHM4jTWycl38d7CPRxIzjp1x/bZsPTfnu2ut8PQ15jT/t9ckvsW+TGd6Noo4sKHtSGz7UiIuggjK4kPQj7CwK1WdJVM0cwiQxOLREREbKfCikUHDhzg+eefp0mTJlxxxRXMnDmT3Nzc4iJR7dq1+dvf/sauXbuYO3cu1113Hc2bN+e5555j3759TJ48mdq1a2MYBnl5ebz88ssVFVVERERERETOU+6ePWRv2IDLgEVtDZqEN7E6kmXeW7iHV+ds55nvNv/+4Ik4+PYez3aPP8HwN9nX9Gb+tqkOCdRkdK9Gxa3Z5RwcPnDtJHD60z5zKfc4v2euikWVi1Mzi0REROzKpzwHKygo4Ntvv2XSpEnMnz8fd+EvB0UziAzDYNCgQYwfP56rrroKH5+SL+9wOLj11lvp2rUr7du3x+Vy8euvv5ZnVBERERERESkHqd9+C8C6ZgYBtWII8QuxNpBFTNNk9rq93OOcReqeMDIPBBAc0xxmjIWcVKjfDS57npSsPO74dBWp2fl0bFCDkZ3rWR3dXup2gqH/hP/9hUd9prEhsSl7jnehWc3qed9VNobh9HzWmkUiIiK2Uy7Foq1btzJp0iT++9//kpSUBPxeIAKoXbs248aN46677qJJk9K/y6xVq1Z069aNZcuWcfz48fKIKiIiIiIiIuUoY9FiABa3NWga3tTiNNZZdyCFganf8LjvVM8DH38IDl9w50NgBFz3CfmGD/dOWcnexEzq1Qjkw9Fd8PdxWhvcjrqMgYMrca77L//2fZt//diRvl060LRmCA0jg/DzuaDLM8tJHM7C+9lUsUhERMRuvC4W9erVi5UrVwKnFoiKZhHdfffdXHnllWecRXQutWrVOm1sERERERERsZ4rNZXcHTsA2NLIYHiN6lss+m5dAlc7VwOwx12H+s4T+LtzAANGfoQZXp9nv9nM0j1JBPs5mTSmK7VCA6wNbWdDXyN5z2qi07Zzx+77uWvbI+wy6xMZ7Mf/7u9DvRqBViesnhyFLRX1Go6IiIjteP12mxUrVgC/F3NiYmJ44okn2LNnDz/99BMjR44870KRiIiIiIiIVF5Za9eCaZJcO5DU4Oo7syjf5Wbphq10cuwG4Ka8p+lufkr++EVw7zJofhlzNh/hy5XxGAb868ZOtK4TZnFqm/MNJPi2L0kPqENjx1G+83+OYb5rSM7M44sV+61OV20ZDrWhExERsatyq+IMHjyY8ePHezWLqCTffPNNuY0lIiIiIiIi5SdrtWcmzY4GTiC/2haLFu9KpEvuCvAFd90uuI/VJjUjjxWZdenTPBq32+TNn3cC8Kd+zRjUprbFiasG/5pN8b9/CcwYQ1DcIt5xvk5vcwB+K/xwJ4IjKwlaD4feD4JhWB23enB43pOsYpGIiIj9eF3VefLJJ7nrrrto1KhReeQRERERERERm8ha5SkWra6TDRg0raZt6L5Zl8CVjjUAOFoNYVBUbaauOsDcrUfo0zyaOVuOsPNoBqH+Ptx9STOL01YxwVFw2zfw01Ow8gNu9lkAbmBX4f6E1ZC4C0b8C5y+ViatFhwOrVkkIiJiV163oXvxxRdVKBIREREREalm3JmZ5GzZAsDWBlDDvwaRAZEWp7rwMnILWLQ1jj6OzZ4HWg7jssKZQz9vPYrLbfKvnz2Vi3F9mhAepIJFuXP6wtB/wPWfsb7mCP5TcDWTox6Egc+B4YD1U3B9cSNb9x+2OmmVZxTOLFKxSERExH68nlk0efJkAOrVq8fAgQPPa4yFCxcSHx8PwOjRo72NJCIiIiIiIhUsa/16cLnIrxVBUng6natpC7q5W47QzbWBAGc+Zo1GGLVa0zvSTaCvk0OpObwxbwc7jqYT6u/DHb2bWB23amt7NSE1B/H6G7/iOASDRw8kplZrzBnjcO75mbxdw5g++L/c0KeN1UmrLqfWLBIREbErr2cWjR07lnHjxvH666+f9xj/+te/GDduHLfffru3cUREREREROQCKFqv6HiLmgDVtgXdt+sPcVlhCzqj1TAwDAJ8nfQr/L68s2APAGN7N9asogvgolohdGscgduEr9YexN38Cl6p+SonzBA6OvaQN28iB5KzrI5ZZRlas0hERMS2vC4WlRfTNDE1TVlERERERMQWsgvXK9pU3wVA02o4syglK49lu49xqXOd54GWQ4r3FbWiAwjx9+GOPppVdKHc2K0hANNWHeD1eTv4cF80D7gfBOAmfuKdL7/BrWJGhdCaRSIiIvZVaYpFIiIiIiIiYg/u3FyyN24EYHZYHE7DSf8G/a0NZYGFO47TwdxBlJEOATWgYa/ifZe2qoXTYQAw9uLG1Ajysyhl9TO0XR1C/X2IT84qntl19TU3kXnRCJyGybVH32LK8jhrQ1ZRhlE4s0jFIhEREdupFMWinJwcAAICAixOIiIiIiIiIueSs2kTZl4emaG+HI6Eqy66igahDayOdcHN23aUQc61ni+aDwbn723mIoL9uKtvU7o3ieTOvppVdCEF+jm5qlPd4q/v6tuEkZ3rEzziVfKdgXRz7GTLnA+JT1I7uvJmFK5ZhGZuiYiI2I6P1QEAtm3bBkBERITFSURERERERORcitYr2livAB+HP+Pbj7c40YWXV+Dm1x3HeLhwvSJaDT3tmMeHtLrAqaTI2Isb8/XaBPpcFM3jQ1p7Hgyvh7P/4zD/OR4x/stV/+5GkwZ1aVevBj2aRNK/ZU0Mw7A2uN0Vrlnk0MwiERER27F0ZlF6ejovvvgi8fHxGIZBbGyslXFERERERESkFLIK1yva2sDgqouuol5IPYsTXXgr9iXRKG8PzRyHMX0CoNlAqyPJSS6qFcr6ZwfzwW1ditsBAjh63Ut+xEXUNNK4yzWVJbuTeP/XPYz7dBXv/7rXwsRVg6N4ZpG1OURERKTsyjSzqGnTMy9Y+uuvv551/8lM0yQ7O5vExETMk95tcuWVV5YljoiIiIiIiFxgZkEBGWtWYwA7G/nwfjWcVQTw89ajXO1cDIDR4goICLM4kfyRn08J74/18cN3+D/h82sY47+Q8MufZOFBk1kbDvHmzzu5IjaGJtHBFz5sFWE4PMUirVkkIiJiP2UqFsXFxZU4Jds0TXJycti/f3+pxzL/8ItDbGwsd9xxR1niiIiIiIiIyAWWtXYtRk4uGQHQrde11A2pe+6TqhjTNPll62FmOpd6Hmg/ytpAUjZNB0DdTjgOrWMkv3DNjQ+RnJnH4t2JPPXNJqbc2UPt6M5T0ZpFKhaJiIjYT5nb0JmmecrHmR4/10eRWrVq8eCDD7Jo0SL8/f3L51mJiIiIiIhIhYj/v/cAWNXSyV0dq+esou1H0mmYvobaRgpmYARcNMjqSFIWhgHdC+/d1f+HYbp56ZpY/H0cLN2TxNdrE6zNZ2MOo7BYpDZ0IiIitlOmmUULFiw45WvTNLn00ksxDINu3brx6quvlmoch8NBcHAwMTEx1K1b/d6FJiIiIiIiYkd5Bw5g/rYCAzg0vAsxwTFWR7LEz1uPcrVjCQBG22vAx8/iRFJmbUfCT09B6gHYOYdGrYbx4KAWvDpnOy/+sJX+LWsSFaI3tJaZ0/OeZM0sEhERsZ8yFYv69etX4uOmaRIZGXnG/SIiIiIiImJ/yZ9/juE2WdfUoGGH3lbHscxvW/fzf85Vni/a3WBtGDk/vgHQeTQseQtWfgithnFn3yZ8tz6B7UfSeemHbbwxqqPVKW3HWbxmkcVBREREpMzK3Ibuj5577jmee+45brnllvLIIyIiIiIiIpWQKy2N1JlfAfB9d4OONTtaG8giR9NyqH14IaFGNq6wBtCgh9WR5Hx1vR0MB+xdCMd34ut08MrIdgB8sz6BgyeyrM1nQ4az8D3JmlkkIiJiO2WaWVSS5557rjxyiIiIiIiISCWWMmMm7qws4mvCliZOYqNjrY50QaXl5DNn8xGmrTrAPU5PCzpnh1Hg8Po9mGKViEbQ4grYMRtWTYKh/6BTwwgubhbF0j1JTF91gIcHt7Q6pa0Yhf8eHG4Vi0REROxGv9WKiIiIiIjIWZn5+ST/978AfN/dQYvIlgT5Blmc6sJwu00mzNpC1xd/5rGZG9m7fz/9HRs8O9urBZ3tdb/L83n9F5CTCsDNPRoCMG31AQpcbquS2ZKhNnQiIiK2pWKRiIiIiIiInFXa3LkUHD5MTnggi9sYdKjZwepIF8wXK+P5dGkceQVuWtQM5PPGP+FruKBOB6ipWSe216Q/RF0EeenwVnv48W9cHp1EVLAfR9Ny+WX7MasT2orDqWKRiIiIXZWqDd3kyZNP+Xr06NFn3Oetk8cWERERERER65348ksAlveqQYHP8WpTLDp4IotXZm8DYOJl9Rh9aCLGnl88Oy/+i4XJpNw4HDDiX/DNPZB6AFa8j++K95kWfjEjM8fx5cp4BreNsTqlbTiKZxapWiQiImI3pSoWjR07FsMwADAM45SCzsn7vPXHsUVERERERMRaBUlJZK9ZC8DM5skAdKzZ0cJEF4Zpmjzx9SYy81xcWS+T0VvvwEjaDb5BcM370OYqqyNKeWncBx7YAHsXwJrPYMdsLkpdynS/A4zb+RgJKe2oVyPQ6pS2YDidmICh7n0iIiK2U6Y2dKZpYpbw7pCix8vjQ0RERERERCqPjIW/gmnibtGEYyEuIgMiqR9a3+pYFW766gMs2pVIA58U3sz8m6dQFN4Abv9JhaKqyOGEiwbBqM/hrgUQUptWjgN85fccPy9cYHU62zA0s0hERMS2SjWz6JJLLjnj7KGz7RMRERERERF7S1/gabt2qFM94AAdanao8n8DHk7N5sXvtwEmU2p/gTMpGWrHwm3fQkhNq+NJRavTHu78mfSPr6Zu+h5Grr+Dgq4/4lO/o9XJKj2n0wc3WrNIRETEjkpVLFq4cOF57RMRERERERH7cufkkLlkKQArmrnBpFqsV/T3H7eTnlvAI9EraZi0GJz+cO0kFYqqkxoN8Rs/l3WvD6MT2zn47dPU//P3Vqeq/JxFM4ssziEiIiJlVqY2dCIiIiIiIlJ9ZC5bhpmdjU+dGH7x3wtAx1odrQ1VwXYdTWfWhkPUN45zb+4kz4OXPg21WlsbTC44/9Bo1nV6CbdpUD9xEW988T9y8l1Wx6rUHIanWORwq1okIiJiNyoWiYiIiIiISIkyfvG0oHP06cHxnER8DB/aRrW1OFXFeuvnXWC6+Tj8E5z5mdCwF/S6z+pYYpHRwy9lb2RfAGpt/YSr31nC7mMZFqeqvByaWSQiImJbKhaJiIiIiIjIaUy3m/QFCwHY36E2AC0jWxLgE2BhqvLz+fL9dH3xZ37cdLj4sa2H0vhh02Fucc6nZc568A2Cq98Fh9O6oGIpH6eDi658DIDrfBZx5MghRn2wjIzcAouTVU6GikUiIiK2pWKRiIiIiIiInCZn0yZciYk4goNZWScTqDot6EzTZNKivSRm5PLnL9cxu7Bg9NbPO/Enj78GfOc5cOBzENnUwqRSKTTuAzHtCSCPP4UuIikzj2/XJVidqlJyOjxLYztULBIREbEdFYtERERERETkNOnzPS3ojF5d+F/8j0DVKRbtPJrB/qQsAFxuk/u/XMcbc3cwd+tRbvGZT7grGcIbQNfbLU4qlYJhFLcivNX4CV8K+O/y/ZimKiJ/pDZ0IiIi9uVTmoMuvfTSis4BgGEYzJ8//4JcS0RERERERM4sY4GnWDQ5ajtpeWm0i27HpQ0uzN+GFW3uliMA9G9Zk8hgP75em8C/f9mNP3k8EDAbCoC+D4OPn7VBpfJoOxLmPUdwxhGu9lvBjCO9WRV3gu5NIq1OVqkYhqdYpJlFIiIi9lOqYtHChQsxDKNCg5imWeHXEBERERERkXPLi48nd9du3A74uU4SdYPr8e9L/42fs2oUT+ZuPQrAkNgYruvSAICv1yZws88CwguSIKw+dLzVyohS2fj4Qfc74ZcXeShoLl/n9eTz5ftVLPoDh4/a0ImIiNhVqdvQmaZZoR8iIiIiIiJSOaT/+isAW+sbGGGhvD3wbaIDoy1OVT4OpWSzKSEVw4CBrWvjdBj887oOPHN5Ex4L8bTb06wiKVGX28E3mLo5u3ja57/M2XyYY+k5VqeqVBwOZ/G26XZbmERERETKqlQziz755JOKziEiIiIiIiKVxN65XxECbGzm4LV+r9E8ornVkcrNvMJZRV0bRRAd4g+A02FwR/ASyDkGYfWgk2YVSQmCo+Ca92D6aMb5/MS+/BimrWzO/QOrzr8Pbzmcv7/M5HYV4HSo6CoiImIXpSoWjRkzpqJziIiIiIiISCVwIu0Yvut3ANB66M30rtfb4kTla+5Wz3pFD4T9Bq+NBdMEhxOyT3gO6PMQ+PhbF1AqtzZXwcDnYP5EnvOZzKPLGlDQ/xF8nKVu3FKlnTyzyO1y4fS1MIyIiIiUiX6bERERERERkWJTZzyHfz6khTq5buijVscpV6lZ+Szfm0xXYzu9d/0DMo5C5jFIPwwFORDRBDqPtjqmVHZ9HsLV4Wachsnz+a+zdNkiqxNVGobPScUit8vCJCIiIlJWpZpZJCIiIiIiIlXfhuMbSPvtNwCCel+Mn7NqtZD6ZcdRwt2pvBf4Dobpgthroc/DYLrA7YKoZppVJOdmGDhH/Iv4fTtomLaGoJ8f50Drn2kQFWx1Mss5Hb9PJXK7CixMIiIiImWlmUUiIiIiIiJCgbuAF5e/SPt9nkXpGw66yuJE5W/e5sO84fseNc0kiGoOI/4NMbFQpwPU6wwB4VZHFLvw8aPm6E/Ix4eubOXt/5tEek6+1aksZzh+f5nJ5dL3Q0RExE5ULBIRERERERGm7ZjG0f3baHwMMAyCe19sdaRylZPvovmuSfR3bsDtDIAbPgP/EKtjiY0FRjcir+NYAG5Mn8z9X6ylwOW2NpTFnM7fG9iY7ur9vRAREbGbUrWhi4+PP+Xrhg0bnnGft04eW0RERERERC6ML7d/Sft9JgABbdviExFhcaLytW7Dev5iTAPAGPZPqN3W4kRSFQQPfAz3pv/Sid04ds/lgam+dG8SSVigD5HB/vRoEkmAr/PcA1URjpOKRW632tCJiIjYSamKRY0bN8YwDAAMw6CgoKDEfd7649giIiIiIiJS8fJd+RxIP8DVez3FouA+vS1OVP4ObfgZp2ESH9SGhp1uszqOVBWhtXH0vAeWvMUjPjMYvqkjP2w6XLz71p4NefHqdhYGvLAM5++FMZde3xEREbGVUhWLipimeV77zsUwDK/OFxERERERkfN3MOMgpstF+zjP1yF9+1qap7yZpolxaK3niwY9oZze8CgCQO8HYNXHtM3bz0vNd3HYjKLxiSVEpW3ny43X4L4yFoejetxzTodmFomIiNhVqdcsqqhCUXmcX5L09HQmTJhAu3btCAkJITw8nG7duvH666+Tl5fn1dhHjx7lkUceoWXLlgQGBhIZGUnfvn2ZNGlSqZ/L7t27eeSRR4iNjSU8PJzg4GCaNm3K1VdfzbvvvutVPhERERERkbI4kH6ApkcgNNvEERJCYPv2VkcqVzuPZnBR/g4AarfpY3EaqXKCIqHXfQDcfGAijxz8C9dmTqO/cwO35c9g86FUiwNeOA7DQdFKRW6Xy9IsIiIiUjalmlnkPsuihGfbZ5X9+/fTv39/4uLiAAgKCiI3N5fVq1ezevVqpkyZwvz584k4jx7ca9as4fLLLycpKQmAkJAQ0tPTWbx4MYsXL2bmzJnMmjULPz+/M47x1ltv8fjjj5Obm1ucz+FwsG/fPvbt28fChQu59957y/7ERUREREREzsP+tP10LGpB16snhq+vxYnK169b4hlneNbb9W/UzeI0UiX1uhdWfwyZxyGgBtTrAnvm086xj0+3HaN9/RpWJ7wgDMPA7QCHG8xK+HqRiIiInFmpZxbZRUFBASNGjCAuLo46deowb948MjMzycrKYurUqYSGhrJu3TpuvfXWMo+dmprK8OHDSUpKolWrVqxatYr09HQyMzN5++238fX15aeffuLBBx884xhvvPEGDz30EC6XiyeeeIK9e/eSmZlJeno6ycnJzJkzhzvvvNOL74CIiIiIiEjZeIpFnhd2g3tXvZk3+7csx9dwke0XCeENrI4jVVFAOIxfCHf+An/dAzdNxeXwI9zIYse29Vanu6DMwo57bpfa0ImIiNhJlSsWffbZZ2zatAmAr776ikGDBgHgcDgYNWoUH3zwAQCzZ89m/vz5ZRr7tdde48iRIwQGBjJ79my6du0KgJ+fH/fddx8TJ04E4MMPP2Tnzp2nnb9p0yYef/xxAKZOncrLL79MkyZNivdHRERw+eWX89prr5XxWYuIiIiIiJy/9D07aJkApsMgpH8/q+OUq5SsPPyPrfN8Ua+L1iuSihNeH+p3AacP+PjhqtUWAJ+jG0jO9K4dvp0UF4u0ZpGIiIitVMliEcCAAQPo1avXaftvvPHG4gLN5MmTyzR20fEnj3Gy+++/n5CQEFwuF1OmTDlt/8svv0x+fj5XX3011157bZmuLSIiIiIiUlEaLvC82c3doyO+MTEWpylfv+48TntjDwCBjXtYnEaqE78GnjeYtjf28NvO4xanuXCKikWm1iwSERGxlSpVLMrKymLJkiUADBkypMRjDMPgiiuuAGDu3LmlHnvHjh3Ex8efdeyQkBD69u1b4tiZmZl89dVXANx2222lvq6IiIiIiEhFysvOpOuaNABq3HCDxWnK34Ltx+hQWCyiXmdrw0j1Uni/tXPsY8GOY8UPZ+UV8N7CPWw7nGZVsgrlLp5ZpGKRiIiInfhUxKDp6enMnTuXVatWsWvXLlJSUsjNzSUsLIxatWrRuXNn+vTpQ+fO5fuL+rZt23AXLqAYGxt7xuOK9h05coTk5GQiIyPPOfbmzZtPO/9MY//4449s3br1lMdXrlxJfn4+AF26dGHx4sX885//ZOnSpaSnp1OnTh369+/PI488ctbxRUREREREylP8DzMIy4YToQYtBw2zOk65crlN1u3YSxPHUc8DdTtZG0iql8L7LdbYx6IdR3C5TRwGPDZzI99vPMzcrUf45t7eFocsf8UziwpULBIREbGTci0WHT16lKeffpqpU6eSlZV1xuM+//xzANq2bcsTTzzBTTfdVC7XP3ToUPF2vXr1znjcyfsOHTpUqmJRWcdOS0sjIyODkJAQgFPWMJo+fTp/+9vfME2TkJAQfH19iYuL49NPP2XKlCl88MEHjBs37qx5cnNzyc3NLf46Lc3zjqT8/PziopRQ/L3Q90TsTPex2J3uYbE73cNid+e6hzNmfoM/sL57NN0AVxW619fsP0Hj3B3gB+6Iprh8Q6EKPb/qwrb/D4c3wcc3iOD8LKJy4lmzL5GNCal8v/EwABsOpHA8NYsaQb4WBy1fbsMATPLzc+33M6sgtr2HRQrpHha7q873cFmec7kVi7799ltuv/12UlNTMU0TwzAwTfOs52zevJlbb72Vzz//nOnTpxcXVs5Xenp68XZQUNAZjzt538nnVMTYRc/pxIkTxY8//vjjdOjQgQ8++IDu3bsDsGLFCsaPH8/GjRsZP348bdu2Ld5XkldeeYWJEyee9vjcuXPPmq+6mjdvntURRLym+1jsTvew2J3uYbG7ku5h38REmqzfiRvY0Daa2bNnX/hgFeh/8Y7iFnQJxLC2ij2/6saO/w/39mtAdP4OOjj28NyM5exINQADH8OkwDR496uf6Rh19tdO7KZO4cyiFStWsOVAqrVhKhk73sMiJ9M9LHZXHe/hs03q+aNyKRbNnDmTm2++mYKCAgzD81uBw+GgS5cutG3blqioKPz9/UlPT2ffvn2sXr2aw4c976QxTZOffvqJQYMG8euvv+Lv718ekSqdovZ4AAEBAfzwww/UrVu3+LEePXrw/fff07JlS7Kzs3nppZf47rvvzjjeE088wcMPP1z8dVpaGg0aNGDw4MGEhYVVzJOwofz8fObNm8dll12Gr2/VereWVB+6j8XudA+L3ekeFrs72z2c+MabpADrmxq07NaHoR2HWpKxorz39lJucniKRXW7jSCmW9V6ftWFnf8fdvgtgxU7aG/sZWZKPwCGxcZQM9SPT5fFkxXWkKFD21qcsnytff4JALp06USzTgMsTlM52PkeFgHdw2J/1fkeLupIVhpeF4sOHz7M+PHjiwtFQUFBPPbYY9xzzz3UrFnzjOctXLiQZ555hiVLlmCaJqtWreLZZ5/l1VdfPe8soaGhxdtnq5idvO/kc8oy9pkKMmca++Ttm2+++ZRCUZEGDRpw88038/HHHzN//nxcLhdOp7PE6/j7+5dYWPP19a12N3xp6PsiVYHuY7E73cNid7qHxe7+eA+beXmkF75BbX4ngxE1mlSpe/xQSjbbj6bT0X83AM6G3XFWoedXHdny/+H6XWEFtHfsBeCiWiH84/oOrIxL5tNl8SzenYyPj0/xG2+rArOwDZ0D7PfzqmC2vIdFTqJ7WOyuOt7DZXm+Dm8v9t5775GSkoJhGNSsWZMlS5bwzDPPnLVQBNC/f38WLVrEvffeC3hmGL3zzjtkZmaed5aTCzAJCQlnPO7kfSUVbcpj7LCwsFPa6p28zlHr1q3PeH6bNm0AyMzMJCkpqVTZREREREREyirjt99wJSeTGupkbTODhmENrY5Urn7Zfoz6xnGijHRw+ELtWKsjSXVUtxMAbZ3x1Alx8P6tnQn296FHk0j8nA4SUrLZl3j+r4NURmZh3cvtclkbRERERMrE62LRrFmzirfff/992rdvX6bz//3vf9OlSxcAsrOzveob2Lp1axwOz1PavHnzGY8r2hcTE0NkZGSpxo6N/f0Pi9KMXVT0KVLa78vJ6zxVpXcWiYiIiIhI5ZK5bDkAy1qYuJwGjcIaWZyofC3YfoyOhesVEdMOfAOsDSTVU2RTCKiBr5nP4nExXFTL03UkyM+Hro0jAFi8O9HKhOWuqFhkulUsEhERsROvi0VxcXGAp/By9dVXlz2Aw8Gdd9552njnIygoiN69ewMwZ86cEo8pWiMJYPDgwaUeu0WLFjRs2PCsY2dmZrJo0aISx77oooto2rQpANu2bTvjdbZu3Qp4ZiZFRUWVOp+IiIiIiEhZZK1eDcCWhhDkE0RUQNX5+yMn38WSPYl0KFyviHpdrA0k1ZdhFM8uch5ed8quvs09HVl+21m1ikVuh6da5DZVLBIREbETr4tFpmliGAYtWrQ47zFatmx5ynjeGDNmDAALFixgxYoVp+2fMWMGe/d6egWPHj261OMahlF8/NSpU0ssar3zzjtkZGTgdDq55ZZbTts/duxYAL744gsOHTp02v4DBw7w5ZdfAjB06NDiWVIiIiIiIiLlyZWWRu7OnQBsb+BpQVeVOhss25tE04K9jPL51fNA/W7WBpLqrbBYRMLaUx7u2zya7sY27tl7H+Zb7SHlgAXhyl/xzKICFYtERETsxOtqRP369QHIyso67zGys7NPG+98jRkzhnbt2mGaJtdeey3z588HwO12M2PGDO666y4AhgwZwsCBA085d8KECRiGgWEYJRaDHn30UWJiYsjKymLYsGGsWbMGgLy8PN577z2eeeYZAMaPH19i8ezhhx+mUaNGxeevXLmyeN/KlSsZPnw42dnZBAYG8uyzz3r1fRARERERETmTrLVrwTTJqRNBarBBw9CqtV7RpnUrmez3d8LIhAY9oc1VVkeS6qxeZ8/nQ+s9n91uSFhL2wV3MN3/Bboa2zFS9sOaT61KWK7MwsKz2tCJiIjYi4+3AwwYMIBt27axadMm0tLSCAsLK/MYRa3bnE4nffr08SqPj48Ps2bNYsCAAcTFxTFo0CCCgoJwu93k5OQA0KlTJ6ZMmVLmscPDw/n++++5/PLL2bp1K127diU0NJScnBzy8/MBT/u5N998s8Tzg4ODmTNnDoMGDWL9+vX06NGDkJAQADIyMgAICQnhyy+/pHXr1ufz9EVERERERM4pu/CNb4cvigTSaRhWdYpFZtJebtp+P9FGGmkRsYTdMl3rFYm1imYWHdsKH/SDxJ2Qn4UBuHCy0tWSXs6tsGk6DHgK7N5lpHBmkVvFIhEREVvx+jeQu+++G6fTSW5uLi+88EKZz09ISOD999/HMAxGjBhBnTp1vI1E48aN2bhxI88++yyxsbEYhoGvry9dunThtddeY/ny5URERJzX2F26dGHLli089NBDNG/enPz8fIKDg+nTpw8fffQRP/74I/7+/mc8v1WrVmzZsoVnn32W9u3bA+ByuWjZsiV/+ctf2Lx5M8OHDz+vbCIiIiIiIqWRtdpTLNrR0PMnYZWZWXRoHQWfjqAmyewwG+A75lsICLc6lVR3YfUgrD6YLji8HvKzwOkHsdfx04D/MS7/r2QZgZASDwdOb6dvN0VrFpkuFYtERETsxOuZRe3ateOll17i8ccf54033iA4OJhnn322VOvt7Nixg6uuuoqUlBTq16/PBx984G2cYqGhoUycOJGJEyeW+pwJEyYwYcKEcx5Xu3Zt3njjDd54443zyhYeHl7mbCIiIiIiIuXBnZND9ubNAKyOyQSgUVgjKyN5Lz8Hfn0VlvwLX9PFPndt3m34Gv+qUdPqZCJgGDBqMuz7DaIugpqtIKIJOH3onJpDzo/zmV3Qjeucv8HGadCol9WJvVLUhk4zi0REROylXOY2P/bYY7z99tv4+/vzwgsvEBsby3/+8x927tyJaZqnHJuamsq8efO48847ad++Pbt27aJ3794sWbKE6Ojo8ogjIiIiIiIiZ5C9YSPk5+OsVZPNfscB7N2G7sgm+OASWPwGmC6WBPTj2ryJdG3byupkIr+r1wX6PAStR0B0c3B63rsbEx5Ay9qhfO0qbMm/5RsoyLUwaDkobEOH221pDBERESmbUs0satq0aekG8/EhJyeH7du38+CDDwLg5+dHjRo18PPzIz09ndTU1OLjTdPEMAzi4+Pp168fhmGwZ8+esj8LERERERERKZWsNasBMNu3xs1SgnyCiAqIsjjVeTJNsqfcSmB6HOk+kXxb7xEm7GqKC5MBrWpZnU6kVJ4c1prbP0nliBlBTM4J2DUPWtu3Pb3p0MwiEREROypVsSguLg7DMM59IJxynGma5ObmcvToUQzDOGWWkWEYxccePHiwuHAkIiIiIiIiFSe7cL2ig81CAc+sIrv+LVYQv4LA9DgyzAAuyXiZEzvCAJNWMaHUjwiyOp5IqfRrUZP7Lm3Jd79ezN0+P5C+agqhdi4WFbWhcxVYnERERETKotRrFv2xnVxZ/fF8b8cTERERERGRsjELCshatw6ANwrmAAadanWyNpQXDi+aTANgoaM7d17eDZfbxDRhSLsYq6OJlMkDA5vz7O7hcPQH/PfOJSM1iZBwe874M4sWPFAbOhEREVspVbFowYIFFZ1DREREREREKtjyhV9SIzubjAA4UBNubHkjD3Z+0OpY58eVT4293wOQdtHV3DfgIosDiZw/p8Pg4VtHsueNV2hmxvPN1PcYdffTVsc6L8Uzi1QsEhERsZVSFYv69etX0TlERERERESkAiVlJzH729e4GYhvHMxnQz+y9ayijG3zCHWnctwMo2O/a6yOI+K1qNAAsjvfBGtepUPCVLbG3U6bxnWtjlV2RW0tVSwSERGxFce5DxERERERERG7+3z751wUnw9An6F32bpQBHBsyecALA3oR5v6kRanESkf9QfcSYYznFaOA+RNHQM2XPfHdBTOLCqwX3YREZHqTMUiERERERGRKi7TncmMHdNodcCzdmxot+4WJ/JSXiZ1Dv/i2W53nbVZRMpTSC0yRk4hx/SlY85Kjky9D2y25nNRGzrTdFmcRERERMpCxSIREREREZEqbknuEqKP5hCWDUZgIIFt21odyStHVn5NIDnsN2tz8SVXWB1HpFzFtO3LN00n4jYNYnZNxVz0htWRyqZwZpHptleRS0REpLpTsUhERERERKQKS8lNYXnuctrEe164DerUEcPPz+JU3slc/QUAG2pcRs2wAIvTiJS/gSPv4GVzDADGL89D3BKLE5WeWbhkkenWzCIRERE78amIQY8ePcrKlStJSEggNTWV3NzcUp/77LPPVkQkERERERGRamnK9inkkUePwyFAGkHd7d2CzpW0j0YpywEI736zxWlEKkat0AACet/L14t3M9K5GPf6L3A07m11rNJxeN6XbLpULBIREbGTci0WTZs2jTfeeIPVq1ef9xgqFomIiIiIiJSP1NxUpu6YCqZJ6wNuAIK6dbM41Xk6uBpWvI+x+RucuNlKE3r26Gl1KpEKc9clTXl42SBGspj8zbPwH/EWOH2tjnVOxWsWud0WJxEREZGyKJc2dAUFBdx4443cfPPNrF69GtM0z/pR5EyPi4iIiIiIiPe+3f0tmQWZdDgRjTMlAyMggIB27ayOVXbf3AOTBsKmGTjMAla5W7Cs/Uv4+zitTiZSYcIDfblk0AiOm+H4F6SRvHmu1ZFKp6gNnamZRSIiInZSLjOLHnjgAaZPn178dcOGDenevTtLly7l0KFDGIbB6NGjSU9PJyEhgfXr15Obm4tR+G6ToUOHEh0dXR5RREREREREpNDqo56uDwMO1gSOEtixIw67rVe0dyFs+BLTcLLQfwCvp/bHqNuJmVf2sjqZSIW79eJmzF3ShyHZP7Bl3mT6tB9a/FpKZWU6CvO59KZgERERO/F6ZtHWrVt5//33PYM5HLz11lvExcUxffp02p30jrVPPvmEmTNnsmzZMk6cOMHHH39M3bp1MU2T9evXM378eD755BNv44iIiIiIiAieTg4bjm0AoFl8DgBB3bpaGansTBPmPw/AmtrXMi7ldvb7teCdmztrVpFUC06HQexlYwBol76I2RviLU5UCkVrFrk1s0hERMROvC4WffLJJ5imiWEYPPTQQ/zlL3855zkBAQGMGzeOTZs20bNnTxISEhg+fDjx8Tb4pUdERERERMQG4tLiOJF7An+HH1H7jgAQ3L27xanKaPsPkLAGlzOQe+IGAPD3a9vTMCrI4mAiF06DjoPI9I2khpHJnFnTOJGZ9/vOglzrgp2B1iwSERGxJ6+LRb/99hsAhmHwyCOPlOncGjVq8N133xEZGUlKSgp/+tOfvI0jIiIiIiIiwPpj6wHo42qKT0YGhp8fAe3bWxuqLNwu+OVFACabQ0gknFt7NmRY+zoWBxO5wBxOAtpfA0DfvMU8/d1mXAUF8N2f4ZUGsHayxQH/wFFULNLMIhERETvxuli0f/9+DMOgefPmxMTEnLLv5D66+fn5JZ5fs2ZN7rrrLkzTZO7cuRw+fNjbSCIiIiIiItXeumPrAOh9tAYAAR064PD3tzBRGW2aCce3keMTyptZV1A/IpCnh7WxOpWIJZyxnmLRYOdqft64n1X/vhnWfQ6uXPjfg7BngbUBT1K8ZpFmFomIiNiK18WiEydOAFC3bt3T9vmf9IdIRkbGGcfo06cPAG63m6VLl3obSUREREREpNorKhY13ZcNQEDXLlbGKZuCPFj4MgDvF4wgjRAevqwFAb5ap0iqqUYXQ3AtahiZTPd7gZ5pP+HCgat+TzBdMH0MHNtudUoPQ8UiERERO/K6WOTn5wd4Fk/9o7CwsOLthISEM44RHh5equNERERERETk3E7knCAuLQ5Mk5At+wEI7NbN2lBlseFLOBFHhm8kH+QMokXtEK7qWM/qVCLWcTihzZUAdHDswWUaPJB3H9dlPU58SAfITSV50jX8snqzxUEBh+elJrfa0ImIiNiK18Wi2rVrA7/PMDpZ48aNi7fXrl17xjEOHDhQvJ2dne1tJBERERERkWqtaL2ibgUNcB9PxO10EtCunbWhSss0YcX7ALyTO5RsAnh0cEucDuMcJ4pUcW1Hej4bDuL7v8Ui/0tYdyiLqxL/xH53LSLzDhE+axwHjp3++swFZRStWaSZRSIiInbidbGoTZs2mKbJrl27Tptd1Llz5+LtadOmnXGMKVOmFG/XqaPFSkVERERERLyx7rinBd2Ao1EA5DRsgCMgwMpIpRe3GI5tJc8RwJS8fnRqWIPL2tS2OpWI9RpdDCP+Bbd+TZMBY/n2vt78ecBF3NCvIz93/g/pRjBdHDs5Nu1+T9HVIr+vWWRdBhERESk7r4tFvXv3BjwzgtavX3/KvsGDBxMaGgrAnDlzePPNN0/Zb5omL7zwArNnzy5+7JJLLvE2koiIiIiISLW2/th6ME1ilxwCILNVK2sDlUXhrKKZ+X1II5i/Xt4Sw9CsIhEMA7qMhWYDAGgSHcyjl7fkiSGtuePqKzgw4D+4TYMuSf8jY8kH1uUsKha51IZORETETrwuFg0ePLh4+9tvvz1lX2BgIPfdd1/xjKNHH32Uiy66iFGjRjFq1CiaNGnChAkTADAMgxEjRpzSuk5ERERERETKJs+Vx5bELbSNNwnYexgjMIDU7t2tjlU6KfGww/Nmwk8KBtO3eTQXN4u2OJSIPbTuO5LJwWMACJz/JMQtsSaI4XmpSW3oRERE7MXrYlGnTp246KKLME2TSZMmUVBQcMr+Z599lh49ehQXjPbt28fMmTOZOXPmKWsVNWjQgA8+sPCdLyIiIiIiIlXA1qSt5LnzuHqNDwChV16JOyjI4lSltGoSmG4Wu9qyh/o8ObS11YlEbMMwDGpf8Tf+5+qJ03Thnj4aUg9e+CCFM4tMU8UiERERO/G6WASwYsUKDhw4wMqVK09rDxAQEMC8efMYP348DocD0zRP+7jyyitZvnw5tWurD7WIiIiIiIg31h1bR50kk/Y78wCoccstFicqpbwszLWTAfjMdTm39mxE6zphFocSsZfBsXV4L+whtrob4chKhB//duFDOApfatLMIhEREVvxKY9BIiIiiIiIOOP+kJAQ3n//fV5++WV++eUX4uPjyc/Pp06dOlxyySVqPSciIiIiIlJO1h1bx9DVbgwTQvr3x69JE9i2zepY57ZpBkb2CQ64a7LGvzu/XNbC6kQituN0GIzu14a/fHMfP/k/jnP79552dI17X7gQRWsWqVgkIiJiK+VSLCqtyMhIrrvuugt5SRERERERkWrDNE127V/HuE2eNuCRY8dYnKiUXAUULHsPH2Cy6zIeGtqGGkF+VqcSsaVrOtfjjXnNmJo9gFt85sPcp+DOX36f8VPRDM0sEhERsaML9JuCiIiIiIiIVLSdJ3bSZUUyAfng17IlQT16WB2pdBa+gk/iNtLMQNZHj+Dm7g2tTiRiW/4+Tu7p14w3C64jkwA4tA42f3XG4/Ndbgpc5VjYKVyewHSb5TemiIiIVDgVi0RERERERKqIZQeWcMUaz4u+UWPHnrambKW091fMRa8D8GT+nTx6VQ+cDhvkFqnERvdqRL36DXk3/0oAzPkTID/79wNMTyGnwOXm+veX0evvv5CWk18+F3cWvtRkamaRiIiInVRoG7rt27eza9cuUlJSyM3NJSwsjFq1atGpUyfCw8Mr8tIiIiIiIiLVzv4lP9EjHQpCAggbNtTqOOeWmQhfj8fA5MuCAZxoOpweTaOsTiViez5OB/+4rgPX/Wcot5g/Uzf1IPzwKPj4w/6lkLQLhr3O1+6BrD+QAsCauBMMaFXL+4sXzSxyubwfS0RERC6Yci8WLVmyhPfff59Zs2aRkZFxxuPatm3LuHHjuP3221U4EhERERER8VJ2QTbhy7YC4NevDw6/Sr7mj9sN39wDGUfYY9ZjYsFo3u3TxOpUIlVGy5hQ7ro0ltfm38Abfu/D+v+est/87TX+nVO/+OsNB1PKpVhkOJyFF1AbOhERETsptzZ0SUlJ3HjjjVxyySV88cUXpKenYxb+YmCa5mkfW7Zs4dFHH6Vly5ZMnz69vGKIiIiIiIhUS2sPr6br9gIA6g4baXGaUlj2NuyeR4HDj3vz7qduzUj6tyiHWQ0iUuxP/Zuxo9ZQvnb1YZ9/S8we98INkyEgHCP1AE3SVxUfu6FwhpG3zKI2km61oRMREbGTcikWJSQk0KdPH2bMmFFcDCri4+NDdHQ09erVIywsrPjxomOOHTvGTTfdxKuvvloeUURERERERKqlrYtnEZUO+QE+BPfpbXWcs9u/DH6eAMBbztvZYTZkXO8mOLRWkUi58nU6+McNHXnMdR8DUp/jkfRRFLQcQX7b6wG40fkL13XxzC7acDD1lNdzzpuj8KUml4pFIiIiduJ1scjtdnP99dezY8eO4sdatGjB66+/ztatW8nOzubYsWMcOHCAlJQUkpKS+PHHHxk9ejROpxPDMDBNkyeffJLZs2d7G0dERERERKRaci9YCkBez/aVuwVdxjGYMRZMF4caDuft9L6EB/pybed6VicTqZLa1g3n9Rs64HQYfL02gXunrGW661IABjvXMnFgLXydBsmZeRw8ke319Qyj8KUmtaETERGxFa+LRVOmTGH58uUYhQsYPv3002zZsoWHHnqIVq1a4XCceomIiAguv/xyPv30U9avX0+zZs2KC0YPPPCAt3FERERERESqnSMZR2i1IRmA+iOutzjNWbgKYObtkHEEolvyt9w7AIObezQkyK/cl9QVkUJXdazHB7d2wc/HwdytR3lqOax3N8WXAoK3zaB1HU8nmA0HU7y/WOEMQVNt6ERERGylXIpFRR566CGef/55nE5nqc5t06YNv/zyC+Hh4QDs3buX5cuXextJRERERESkWlm3+CtqpUKen4Nal15udZwzW/gyxC0C32B29X+XRfuz8XEYjOnV2OpkIlXeoDa1+XRcN4L9PK/Z/BI0xLNj7WTa1yssFpXDukVG0ZuGTRWLRERE7MTrYtGmTZsA8Pf359lnny3z+fXr1+eee+45bTwREREREREpndSf5gBwomNjHIGBFqc5gxP7YdEbABQM/xeP/poLwLD2dYgJD7AymUi1cXGzaL4c35OrO9blilH3gW8wJO1iYNBewLNukbfM4jWL1IZORETETrwuFiUnJ2MYBu3atSMsLOy8xujbt+8p44mIiIiIiEjpuNwuaq/cB0DE5UMsTnMW678ATGjSj5fi27DhQArhgb789fKWVicTqVba16/BWzd2ok2TehA7EoAuSbMA2HQwlQKXdzOCNLNIRETEnrwuFtWu/f/s3XV0FFcfxvHvrMSVENzdpbhDcS0tUKpABfpWqFA3Cm2hCjWqQAvUC7QUKEWLO4Hi7hASIIS4rMz7x6LFAgSWhOdzTk43OzP3PruZhuz85t6bH4CAgIArbsP/jDvfTrYnIiIiIiIil7YlaiYF4lw4rFCh873ejnN+bjf865nCfG1kZ75bvAeAYT2qUyT8yj9LishVqtUHgOCdU+niE0Waw8WOI8mntx/fB7GbLq/Nk8Uit0YWiYiI5CRXXSyqUqUKpmmybdu2K25jy5Ytpx5Xrlz5aiOJiIiIiIjcNLaP/w6Ag5Xy4hsS7uU0F7B7HiTsx+0bykMrCgDQr2kpWlXSzYIiXlW4FpRshuHK4FPLMIbZv2Dzrv1weDNMfBg+qQ5fNYaYDVlu0jAMzwONLBIREclRrrpY1KtXLwBiYmL4888/L/t4t9vNqFGjAChbtix16tS52kgiIiIiIiI3hd83/kr+2Z51X0M7d/FymotY8wMAfxuNOZpuoVbxcE0/J3IjMAy4dzw0fgY3FrpZF9F2Tlv4oj6sH+8p+Jgu2HQZ13usVk/TGlkkIiKSo1x1sah79+40b94c0zR55JFH2LAh63ebADzzzDOsXr0aq9XKp59+erVxREREREREbgqLDy5m7pi3CUuF9DyBNLj7aW9HOr/UY7B5KgBfJDQk2M/GZ3fXxG696o+jIpIdbL7QahDLmv/Abnd+AlxJgAEVu0DjZzz7bPs76+1ZTowscmtkkYiISE5y1X+dWywWfvvtNxo0aMDhw4dp2LAhQ4cO5dixYxc9btGiRTRv3pwRI0bg6+vLV199RZs2ba42joiIiIiISK639dhWnp03gHYrnQAU7d0Xw273cqoLWD8BXBnstZdio1mCe+oWo1CY/6WPE5HrqniNW+mQ+Q4vOP9HxiNLoOf30OAJwICY9ZBwIEvtGFqzSEREJEeyZWWnN99885L73HrrrWzfvp2jR4/y+uuvM3jwYGrVqkWVKlWIiIjAx8eHpKQkdu/ezapVq4iOjsY0TQzDoH379hw8eJA333yTgQMHXvWLEhERERERya0yXBn0/6c/RXanUCoGDF9fwu6809uxLmzN9wB8l9oYi2Fwf4PiXg4kIudTKNSPwKBQfktuSs/MgtQCCMwLRevC/uWwbTrUefiS7RgWzzR0mCoWiYiI5CRZKhYNGjTo9AKFl2AYBqZp4nA4WL58OcuXLz9nH/PEHwwn2/zzzz9PrXekYpGIiIiIiMiFRcVEcSjlEL1W2wAXoV06YwsP93as8zu0FmLW4TTsTHI1om2VAhQJD/B2KhE5D8MwqF4klDlbDrN2/3FqFT/xe6VcO0+xaGvWikWcGlmkaehERERykixPQ2eaZpa/LnXMhbaLiIiIiIjIxS2KXkTeBJOamzMBCL//fi8nugBnBsx6A4BZrlocJ5g+DUt4N5OIXFT1omEAfDRrGwP/3MCWmEQo396zcfcCyEy5ZBuahk5ERCRnytLIot69e1/rHCIiIiIiIpIFiw8upm2UG4tpEtCgPn7lynk70rmcmfBbb9g1F4fFjxEZnalUMIS6JfN4O5mIXMRtNQoxac1Bdh1NYdzSvYxbupe6xcMZF1QUv+T9sHMuVOzk2dnlgOTDEFqYI0kZDJ6ykXol85DvZLFINwWLiIjkKFkqFn333XfXOoeIiIiIiIhcQnRyNIdid9JyrecibJ77e3k50Xm4HDDxQdj2N6bNjwHGS2w0S/JBoxJZnt5cRLyjeEQgswc0Y8nOOH5asZeZG2NZsTeen22VeMC2n8R1Uwip2AlSj8HYLhC7nvQWg+mzthYboxOZuu4QQwIdFAMMjSwSERHJUbI8DZ2IiIiIiIh41+Loxdy50E1QOviUKkVQ82bejnQ204Q//gebp4DVh5X1PmNKUjkiAn3oXL2Qt9OJSBZYLAaNy+bli3trsfilW7m3XjHmmrcAkLHpb96esBjH2K4Qux4Av7lv0PrwtxiGpzgUdSDB05DWLBIREclRVCwSERERERHJITavmE67KM8F2fyvvnJ6bZAbxdZpsGECWOy4eoxj4MYCANxTrxh+dquXw4nI5cof4seQ26sy8Il+pBkBRBoJ3LvuAeyxa0mzhfFP2B0APG37nSU1/6FU3gDSnCdGFGkaOhERkRzlBvtkISIiIiIiIueT6cqk6vfLsZpgNq9HUKNG3o50NtOEee96Hjfsz8SkKmyJSSLEz8ZDjUt6N5uIXJUyBfPgX7E1ACUtsSSYAXRLeYEHY7rzlsuzznXBTaP5tcQUMDyXmjIzXV7LKyIiIpcvS2sWXamUlBR2795NfHw8GRkZhIWFERkZSfHixa9ltyIiIiIiIrnOpl+/ocJeF5k2qPDa296Oc65tMyBmHdgDSa39P4Z94Zmiqv+tZQkL8PFyOBG5ahU6waY/MX2CWdtgFEkrfbAdT6dmj5fAVRf+fJzIDaOpFdkZgNR0BwfiUykSHuDl4CIiIpIV2V4sio6O5uuvv2bSpEls2rQJ93nmqA0PD6dx48Y8/PDDdOzYUYucioiIiIiIXIQrOQXzszEAbOhYgepFing30H+ZJsw/Maqo7sOMikokNjGDIuH+9GqomwVFcoUq3SA9AaN4Q5rmr8zcpm6SM5wnisH3wf7lsHocJdM8hWLDNHn59/WMe7CurvuIiIjkANk2DZ3b7WbIkCGUKlWKt99+mw0bNuByuTBNE/PEPLUnHx87dowpU6Zw2223Ubt2bTZu3JhdMURERERERHKdY99+i198CjFhENrnfm/HOdeO2RC9BuwBHKnWl6/m7wTghXYV8LVprSKRXMFihbp9IX9lAGxWy9mjBlsNhoAILBnxnt1Nk4Xbj/Lbqv3eSCsiIiKXKVuKRS6Xi+7duzNw4EAyMzMBThWITjrf96ZpsmbNGurWrcvChQuzI4qIiIiIiEiuYrrdHPt9AgA/N7NQv0RTLyf6jzPXKqr9IB8tOU5qpovqRcPoXK2gd7OJyPUTkAfaDDn9rc0zmujtqZs5lJDmrVQici3FbIB3i8HM169dH+mJEDUWEg5euz5EBMimYtELL7zApEmTTn0fFBTEI488wpQpU9izZw/JyclkZmYSFxfHihUr+Oyzz6hXrx4AhmGQlpZG586dOXDgQHbEERERERERyTXS1qzBHXOYVB9IrleRvP55vR3pbDv/gYOrMG1+/Gjtyi8r9gHwaoeKmnpK5GZT/S6MkEIA+LjSqVEklKQMJ6/8vv6cm4hFJBdY8AGkJ8DyryEt/oqbmbf1MAN+/ZfNhxLP3mCaMPEhmPIkjKjt6c+RfpWhReRCrrpYtGXLFj777LNTHwK6dOnC9u3b+fLLL+nYsSPFihUjICAAm81GeHg4tWvX5vHHH2fp0qWMHz+e4OBgDMMgKSmJl19++apfkIiIiIiISG6S+Nc0AFaWM6hXoomX0/yHacK8dwCYF9yJV2cfxm1C7wbFqVsyj5fDich1ZxgYZVp4HrqcjAsfSVFrPHO3HuGPNRoVIJLjmCYs+wrbJ5UpdXj62dvi98LmyZ7HrgzYMPGym3e7TT6ZvZ0+363k9zUH6fblEmZujDm9w/oJsH2m57EjFf55Gz6vA5uneLKJSLayXW0D48aNw+l0YhgGnTp14o8//sjy3WPdunWjcOHCNG3aFKfTyfjx4/nyyy8JCgq62lgiIiIiIiI5nul0cny6p1i0qJLBoJIdvZzoP7ZNhwMrSceXFw61wGYxGNi5EvfXL+7tZCLiJZbACM8DE0K2T+If378ZkdGJ4X+56Vy9EHZrti2fLSLnkZDqIDTAfsn9dh9NwW2alI489zrs3rgUjh85SLWoVzG2z8QAKqf8iiuuPxSo5Nlp+ddgusHmB850WP09Zu2HyHC68bOfWK9w+2xI2Adul+fLPwwq3w42XxLTHQz4dS2zN8cCUDwigL1xqTzyQxQvtK3A/+qEYkx/0dNOi1chvCTMGgjH98Gv90G5dtD+fQg//98cqZlOvpq/C4fLTYifnVB/O6UjA6lXKuJy31KRm8ZV/ws9c6anumsYBiNGjLjsaQbq169P7969AXA4HMybN+9qIwGQlJTEoEGDqFq1KkFBQYSGhlKnTh2GDRt2al2lKxUbG8uzzz5L+fLl8ff3J0+ePDRp0oRRo0Zd0bDq9u3bYxgGhmHQvHnzq8omIiIiIiK5R8qy5ZjHjpPoD4EN6lMmvIy3I53mdnvu8AXGONtgBuXnx4fr0atBCU0/J3ITMyyei8SGzR+KNcDuzuAZ+0RmOx8g8ZuOsOgjiFnv5ZQiuY/T5ebxH1dT862Z/Lh870X3nb0pljYfzafdxwuYt/XwWdv+3X+cNz/5nEI/t8LYPhOXxQdX3vJYTBdJfzzL8JlbGfH3atyrx3oO6PwpWOxw6F+e/Ph7ar01i6i98Z5RQT92g6nPwLTnYPqL8McjHP2kGW+OnULr4fOZvTkWH5uFD7pXY/aAZtxfvzimCe9N38Liz/tBahxp4eXJqN8fqvWAJ1ZCk2c9/W2bjvlFfY7P+gDTmXHOa/x87g7GzPmXL+ft4L3pW3jlj/X0/GYZK/ccy7b3XCS3uepi0f79+zEMg8qVK1O0aNEraqNDhw6nHu/bt+9qI7F3716qVavG4MGD2bBhA6ZpkpGRwapVq3juueeoX78+8fFXNo9mVFQUlStXZvjw4Wzbtg2bzUZSUhKLFi2ib9++tG/f/rKKUWPGjGH69OmX3lFERERERG46x6Z6pndZVsHg7ir3eznNf2z6A2I3kGT685WzEz/3ra+7dUUELJ5isYEFHvgbeowlzrcIfoaDiNglMHsQfNUYFnzo3ZwiNzLTvKy1edxukxcmrOOv9YdwmzBo8kb+3X/87J2cGXBgFXM2HOTRH6NwuEwcLpP//RDFqhMFlO2xSYz+9ku+NN4l0khgq7sI7dPeotPRx8kw7eSJXcKOeT9wfNEoLJnJHAsoRXrFbuyNbA5Azbi/SMl08c6ExZh/nxgVVLQeZsUurApszjEziLxJm3lmV19qJ8+nYKgf4x9pQI/aRbFbLbzVtQpv3laZFta1NE6dg9s0uCvmXqq+NY8eXy3hnX/2M7NAP+a2+IOdAdUxHKmELX6bxPerwtIvICMZ3G5SNvxNoyV9WefXl1/zjeOOmoUonz8YgLFL9lz8zUyMhi8bw1/PZvn9F8ktrrpYlJCQAEDevFe+yOqZxyYmJl5kz0tzOp107tyZPXv2ULBgQWbNmkVKSgqpqan88ssvBAcHs2bNGu67777LbjshIYFOnToRFxdHhQoVWLlyJUlJSaSkpDBixAjsdjszZszg6aefzlJ7MTExDBgwgLCwMCpWrHjZeUREREREJPdyZ2aSOMszk8O2WvlpUvgGWq/I5YS5QwEY6exImeLFKHviIoyI3NwMi2fFA8M0wTCgclei71tMy4wPeMvVB0fp1p4d/3kLNv7hxaQiN7CJD8EHZeDg6kvuapomg6Zs5Pc1B7FaDKoXDcPhMnn8x9XEp5y4oX3fcviqCYxqSf7xHSnt3kvHagVpXj6SdIebB8asZNamWD4Z+Q0fuofhY7hIK9eFhc1/IzmkLJvT8/KFswsAQwN+5hFfz98n7ya0pPaQObyxvyYAPXyWkD/A4K7jX2OkHoXIitB7KqMKDqZ7XD9uc77Hdr8qBBtpfO7zKYuKfkX1Az9B9L+QngBbptHr6EeMCvoKgDmhd7A/oBKZTjcr98Tz9fxd9Ps+igf+SqTlsRd4NvN/HDbDCM2MhRkvw8dV4PO6BE64i4bGOgDqJc5geJm1DO9ZHYDpG2I4nHSRQty05yF2PawcBVv/c4O/M8OzfdmXAEyIOkDdIbN59Y/17I1LuXCbLieM7eIplGckX/JnKuItV10sypMnD6ZpcuDAgStu4+DB04sc5slzdYugjh07lvXrPcOZJ06cSKtWrQCwWCz07NmTr7/+GoBp06YxZ86cy2r7ww8/JCYmBn9/f6ZNm0bt2rUB8PHx4fHHH2fw4MEAfPPNN2zbtu2S7T322GPEx8fzwQcfkC9fvsvKIiIiIiIiuVvy/PlYU9KJC4Z6bftgPTG10w1h3S8Qt4MEI5hvXe2445Yi3k4kIjcIi/XE7yr36Wn6qxQJxYgsz2hHG/6o8BHUf8yz4Y9H4WCUF1KKZKP9K7NU1Mmy2I2wYSJkJmFOetRToLiID2duZdzSvRgGDL+zOt8/VJcSEQEcPJ7Giz8vxZz2POa3beHoVgCqGLv5y/dVPiswnS/vqkrt4uEkpTsZ+f33fOB4F1/DQWbZjvj3/JaHb63M/Bda8GvfukRUbY8ZVoIw5xEi3UdI941gWUBLkjOcLLPUIMU3H8HuRH4uOonu1gW4TYPY5u+zOjqF96ZvAaBf5yaUfX4+NB4AgHXHTE+R55tm8G4x+OVuiBqDNSMBIivS+vFPiXqtFf8824wPulfjrjpFKZc/iPL5g+nXtDTdHnqeoWV/5SXHw0RbC0FaPMRtJxl/Rjnbs6Pcw5436e8XqWw9yC3FwnC6TX5buf/8b+amybBl6unv/34eMlNPfz/jVVjxDUx/meg9W3l90gYOJ2Xw4/J9tPhwHk/8tJrtsUnntrt6DOye75mCc8U3WToNRLzhqotFpUqVAmDHjh1s2LDhitqYOHHiOe1dqbFjPfNltmjRggYNGpyz/a677qJkyZIAjBs37rLaPrn/mW2cqX///gQFBeFyufjxxx8v2tZvv/3GH3/8QbNmzXjooYcuK4eIiIiIiOR+e37/AYAVle10LX+7l9OcwZkJ894DYERmZzKtQXSsWtDLoUTkRmFYPJeajDOWdDYMg9trFgbg9zUHoM3bULYNONNIHnMn3/29CLf78teAFvG6DRNhdCsY1eqcgpHLbfLNF+/z0wePk7Bn7TmHTog6wJC/NpGU7jjr+aOzhp96bBzZgnPuexfs/odle/l87k4A3rqtCrfVKEyIn50v76tFRfshXtv3EMaKbzAwGe9sSquM9/k3sDFWXFgWvIf/R2X4LfUhFgS8yBif9/E3Msko0RKfnt+B1Q6A3WrhlmJhhPr74Goz9FTffg0eYfrzrXm/ezWmPtmMwLqe6XJL7f0VgHGu1jyzxIf+P63B6TbpWLUg99UrBlYbtHoD/rcIWr4BZVqDb4in0bDiULcf3DsB+s0D3yAMw6BUZBA9ahfl3W7VmPlMM2Y805RXOlSkYem8vNylBlOsrWmc8j4La33CnPJvUD/9M34K/x8le74PpVuCMx0mPEDv2p6b9Scs24Frf5SnuHRS2nHP2kpAbOWHcAYVguP7YMEHnu3rfoOVI0/sbLJy4kekOVxULxpG8/KRuE2Yuu4QXT9fzMHjaWe3+8+Q098v+RQyzlNQErkBXHWx6Mz1hvr27UtaWtpF9j7Xn3/+eapYFBgYSNOmTa84S2pqKosXLwagffv2593HMAzatWsHwMyZM7Pc9tatW0+tp3ShtoOCgmjSpMkl246Li6N///74+vryzTffaPFXERERERE5izM5GRatAsCnbUtCfEK8nOgMO2ZDwj6S7BGMc7WhVaV8hAbYvZ1KRG4QxolRkMZ/ij9dTxSLlu06xsHETMxuo4j1K0WQ4yi1lj7Bu9Ou7AZkkexgmia/rtx3au2eLNm9EP7434kGXJ7HjtPXRRdM+oZ+h4dwT8oPhI5pintEPc/NFilH+WXFPp4bv5aRC3dz+xdL2HPUM4XZlu3bCN3hmZ7xS2dnAIzFH5G+9z8j8BxpbJz7G/a/nmKhz1PML/gZ95U8PQ1aRecWJvm9STHLEQ6YeXnA+TJzyg/iuXu7UG3AFOj+HQTkhcxkLEnRFHPvJ8DIIKNoY3zv/RFsvud/n8q28RRzCteCun0J8LFxZ+2ilMkXBDXuPbWfM6ggn5h3s2RnHAePp1EsTwDvdKt69jXQAlWhyQC4bwK8uAee2w5PrYUOH0DZ1mD3y9KPIX+IH8+0LocbC0+uKcTzO6qSTABPtCiD1WqF27+GoAJwZAudNj/LL37vMD3jfqyjb4WPqsL89z1Tw81+A5JjSQwsSdOoJjyZcLfnNS/5zDNl5uQnPR0WawhAw8RpBNrcfHRndcY8UJdpTzahauFQUjJdvDll4+mACz6AtGOQtzxmRBlPgWr511l6bSLX21UXi/r06UNgYCAAK1asoFmzZqemgbsYl8vF8OHD6dmzJ+Ap4jz00EP4+PhccZbNmzfjdrsBqFKlygX3O7ktJiaGY8ey9o/AmaOmstL2pk2bLrjPk08+yeHDh3n99dcpV65clvoXEREREZHc7WjaUUatH8UTc57ggxeaYXe4OZgH2rd/wtvRzrbdc2Pc3846ZODDHTU1BZ2InGZYT44sOrtYVDjMn/qlPEsPTFpzkG9XHaNbwlMcNwOpZtlN/NJxfD1/50Xb1ugjuVb+2XKYFyeu5+6RS1mybDEs+himPA2Jh85/QOwm+OVecGVCufYQlN8zzds/bwNwdPsq6q19HYDN7mJkmlYsR7fAvKFkfFaP6X96ZiTyt1vZcTiZ2z5fzM8r9rH4p3ew42KLvRJl7hnGX+6GWHFz+PsHSTq6H/79GX69D/d7pag8vy89rXMpajlC8fil8HUTmPmaZ7TT2C74OhKID69GVJvf+fjVZ/nq/lq0q1IQi9UCVe6AZzbCE6ug71zoPQV6T8W3z59g97/4m9XhA+j7DwT8ZymRiNJQti0YFmxdPqFXc881Uh+rhc/vuYUQv4vcWGKxQlA+zzpnV6B3wxKUzx9MfKqDYymZFI8IoEv1Qp6NQZFwxzeAgXX3fOqzHj/DQbrhB5lJMHcIfFINosYA8L+EXmTgwzTHLcx21cRwO2B8H3CmQelbOXrHLxwhjEgjgeHVDlAqMgiASoVC+LBHdWwWgxkbY/lnSyzE7TxVGBriuo/3027zZFryGaQnZu3FrfkRJj4MyUeu6L0RuRy2q22gUKFCDB48mOeeew7DMFi1ahU1a9akWbNmtG/fnqpVqxIREYGPjw9JSUns3r2bFStWMHHiRGJiYjBP/PFQuHBh3njjjavKEh0dfepx4cKFL7jfmduio6OztE7S5badmJhIcnIyQUFBZ22fMmUKP/30E1WqVOGFF164ZL8XkpGRQUbG6TlLExM9v2AcDgcOh+NCh910Tr4Xek8kJ9N5LDmdzmHJ6XQOy/UyaPEg5h+cT2CaSZ/FLgCiezSmWWCxqzr/svUcNk1s22dhAH9nVCU8wE7DUmH6/0OuKf0ezllM88TFXvPcn1mXagVYtusYoxbu4niaA9OMZFOZvjTc+THP2sbT/O8GhPlbuaNm4TPaM1mxJ55xy/Yxd+sRHm5cggGtyl7Pl3TVdA7f+MYt3sET1j/oZl1Ayemxp54396/E2WsK8S5fjiZl4jJNLIkHKD+tB7aMBNxF6+Pq+g3GngXYfrsXc+nnuArVhj9fJMDIYI39Fg53GUfPn5bSxrKK54Nnkj99N2Ps7zI3Xw/K3v0uj/+2hbUHEnjz95Us9Z0BBhRuP4DSZfOw9s6PiBvfmmLOPTDi9M3rFiDazMO/AQ1p0a47vht/w7JtmqcIcYK7dCuC7hhNBx/PTf7nnn9WCC1x9lNuE9znnqdZPodvHwkpRyGsGH2LunG6XFQrEkqF/AHX/Px/o1MF7hm9EoBHmpTAdLtwuD1/T1G0IUbHj7Hs+oe4iFu4+58AdroLsrTzcfKvGoYRvxuASdbWLEkvT4vyeWlSJi9DZzxAI3Mj/kYmRy2RDOdJtv60gWbO5jxpm0SrlL9wOB4+laFUhB99GhZn1KI9DJy0gSZFRmJ3O1hurcXIQ6Wx4KZ3cFEKpO/HtfQL3I2fvfiLSozGNvUZDFcGZsx6nPdOgsC81+Lty/Vu5t/Dl/OaDdM0s+W2jGeffZaPPvoIwzAwTfOSU6ud3Mc0TfLnz8/cuXOpUKHCVWX46aefuPdez5DH7du3U6ZMmfPuN2vWLNq0aQPAkiVLzru20X8NHTqUV199FfC8wTbb+etsI0eOpF+/foCnwFSw4Om5uxMSEqhUqRIxMTEsXryY+vXrn9rWvHlz5s+fT7NmzZg3b94l8wwaNIjBgwef8/xPP/1EQEDAJY8XEREREZEbh8t0MTRhKBlk8NKCItyyeA/pBfKz76mnwHLVE0Jkm+C0g9y65WUysVMt/RvqFrDTraTb27FE5AZybPsS6o+aTGweKwkvDjlrW5oTXl9lxXGioNQov5uexTNoueVFAjOP8r7jTr5y3UbJYAiymwTZYXeSQXTq2deYbi/honlBjTKS7HE0Hfaum8Obds866BmmjWVmJWrZ9hDkTmSFUY170p7DiY1bjG185fMx+YzjHLAUYnXF1zB9PDeK19g7iuLHFpxqd7e7AP+UfYO8IYH8E23w514rvmTyiu1HettmAZDgV5RN+W/j47i6lIv/h7fsY0jyycc/ld4Hw/Pvvz1mJR0OeYpAm93FmOmuxUxXbQ75FGdAVTfBJwbs5E/4l6oHvicw8wh78zRhbbEHMI2rHieQo8yNNohLN7i9hBvrRf58+mqzhc3HLZQLddMo0kEb1wKiD8fwRko3/Hz9ebaaiwAbHEqFuG0L6eqayUuOvqw3SwFQmCMs9HsaCyZzKr5Hsl9B/BzxVNs/hpDU/RzJtJNhWilvOYATC20z3uOIrRBJDuhsWcKnPp+TaQ1gWennCUqPJjRtH06LL1sLdj3rZ1Zt33eUjJt76vsEv6IsKfsSmbbga/YeSu6TmprKPffcQ0JCAiEhF5/aOtt+YwwbNoz69evz1FNPnTVi6GRB6KQzvzdNk+7du/P5558TGRmZXVFuWM8++yzR0dE88cQTZxWKrsTLL7/MgAEDTn2fmJhI0aJFadOmzSV/6DcTh8PBrFmzaN26NXa75lGXnEnnseR0Ooclp9M5LNfDpmObyJieQeH0AGpFxWACJV99lSrNm19129l5DluWjYAtsNxdiXR8ebprPaoWDr3qjCIXo9/DOcu/c5OAydgwzlrn+qRF6euYuj6GpmUj+PremtisFoySmfDnozzpO5VfUm9lZ1IIcLpA5G+30LVGIQJ9bYxatIdJe620qFeN9lUKXL8XdhV0Dt/YPpu6ggG2CQA4Gj3H8webMnlLMtUcO/nV5y3qso43bWPYZi/PK+ZIfHCy1V2UB9Kfp9DREnx+dw3yBPpARhNcXzfGmnSQJNOf6VWH83BXz83q7U0T+6RNTFh9kF8jn6Rb8/sJnP40oWn7abB3BPXDSuAITYNUCGjxLB1qdzojYQccMbezO9nGwsOBrNkZhyUlkx9ur0LZ/EFn7YdzAI5juykUWYFC2bhGek45h8/9jXN+weWO8tC41WxLsLAtwZfvaA2An93Cdw/Xo0KB08UYh6sd6w++yAPH0ziUkE5MYga1i1WDzW1g+wyaB+/GrFgV64TnMFIOAxBocOpX2PfO1qSGlOb3B2szIeog3ywweZo/KeU6QNNtZw8EKFOyGO6Wg9h3LJXC7mh81y4EwNnxE6zzhxKavJ92sV/ivPf3c6cBlIvKKefwtXByRrKsyNbyco8ePejatSsTJ05k0qRJLF++nL179561j5+fHzVr1qRJkyY88MAD2bpmT3Dw6f+RU1NTL7jfmdvOPOZy2r5QQeZCbc+ePZvRo0dTpEgRhg4dmqU+L8bX1xdf33MXm7Pb7TfdCZ8Vel8kN9B5LDmdzmHJ6XQOy7W09uhaAB5YFYyZfhD/GjUIbdXqkjM2XI5sOYd3/QPAP65qlMkXRM3iEdmaUeRi9Hs4Z7DZPWtRGybn/Xm92bUqzSvkp2PVgvj7WD1PVr8Lln+JX8w6ZtyynBUVXuRocgZHkzOICPTh9ppFCA2wY5omGU6T75ft5bmJG8gfGkC9UhHX8+VdFZ3Dl3BsF1jsEFY0+9pMPQbH90KhmufdnO5wUXTtR4QZKSSGViCk5SsMMw0cP6/h7w3wQdALvJ4yhHts/4Dp+TeQip05WvVtkn7byqq9x7lz5Ap6NSjBwu1HSIp/jMeMCUzyu533bmuL3X760ut73atzxy1FqF40jEBfG5Rp5FnPZuVIjON78AHwC8Na636s/z1PitaiHFCuIvRrdv6ZlACw26Fwtat6yy4mt5zDt1YsyC996zNjYyzLdsWxOSYR04R376hG1aJnF2HsdqhX+jyDHIIehu0zsK75HlaN9kzfF1kB2r+HabHz4d8bWL0/gYPBNfjtkQYUzRPAM22C+GfrEd4+chejfIZj8Q2CAlUhtCis+wXrshGMPViIN7eXYEzoSJq7nVCmNbY6faBEQxjTEePwBuwTekGfv8B6gUv7sRth3W9wZCu0HeJZT0qA3HMOX47Leb3ZPhbRbrdz1113cddddwHgcrk4fvw4GRkZhIaGEhgYmN1dnlKoUKFTjw8ePEi1auf/5Xjw4MHzHnM5bV+oWHSy7ZCQkLPWK+rbty8A77//PoZhkJycfNZxLpfr1H9PbvP398dqtWYpn4iIiIiI5FyrD68mX7xJlSWehbQjBzxz4xVhMpIw9y7FAOa5a/BQwxI3XkYR8TqL5cR1jAusepAn0IfutYr89yBo/SZ835XILT/Q8dYnIO+5F8QNw2BQl8rEJqYzc1MsD45ZyWMtyvBAoxIE+Nxc023lOke2wtdNwXRDp4+h5r1X32Z6AnzT3FMsqn43dPgQfM9eW3zJon/oZs4GAwJu+xAsVuzAF/fewvFUB+GBHWFZMEx/0XNAi1ehyXM0slj4/dEIHhy7kr1xqbw1ddOJFkvyVsQbDLuz+jnnpNVi0LDMGevNBOaFW1+Fxk/Dvz/Bht+hVh/wuXbXTuW0eqUiThWbj6dmkpDmoHjEZbz3ZVpCaDFI2Of5vtJtcNsX4BuEAfTrU5dJaw7SrkoB8of4AeBrszKsRw26fpFCxfRvuadmGTrVKEKNomEccwcSuWE03fa9zWLLozRNnwcGpDV5GX+AyHLQZyqMagX7l8Hij6Hpc6fzuN2w4mtYPQ4Obzr9fHIMPDQLrDdXgUSuzFVPfv3ggw+e+vrvKCIAq9VKREQEhQoVuqaFIoCKFStiOTGf94YNGy6438ltBQoUIE+erA3Zq1Ll9CJyWWm7UqVKZz2/Z88eAO655x6Cg4PP+Vq0aBEAixYtOvXclClTspRNRERERERyLtM0iYqN4valbiwuN4GNGhFYt663Y51r9wIMt4M97vwc9ytKt1uKXPoYEbnpGCduejUud0mh0i2gdEvP3fnftoEt087efngLLPgA65qxfNbUSbMS/qRkuvhgxlaafTCP75ftJdN5njXUHGkw41XYMefcbRnJMOFBWPr5ZYaVbGWa8Nez4EwHVyb8+ZjnZ+ZyXl27fz3nKRQBrP3ZU4w6tPasfgsseQOLYbItsg22Uk1ObTIMg/BAzyg56v8P7voZHpwBzV44tZZg2fzBTHqsES0r5KN28XBeaFeeWc80Ze5zzalV/DKmCPMJhLp94cG/oXrPq3vNckXCAnwur1AEYLFCqzcgKD+0GgQ9xp5VjAz1t9O7YYlThaKTqhYJ5fHmpcnAh++W7qPbl0uoO2Q2TVc3Z7W7DKFGKqN9hmExTKa66tFneiZpmZ5BBkSWh/bvex7Pewei//U8drvgz8dh+kueQpHVByp0Ar8wiF4Diz66ovdFbj5XfdvFmDFjMAyD/Pnz8+2332ZHpisWEBBAo0aNWLhwIdOnT+f5558/Zx/TNJkxYwYAbdq0yXLb5cqVo1ixYuzbt4/p06fTo0ePc/ZJSUlh4cKFl922iIiIiIjcvHYl7CIxLZ56Wz1XViP69fNyogvYPhOAee7q3Ne4xOnpo0REzmA5USyyuC+3WgR0/hh+uQdi1sMvd0OtB6B8B8/d8jtmn9rNFxgLJOUtxd/plfkzpQpvTUrmsznbua9+ce6uW4zI4BNT9y//CpaOgDXfw1NrwT/8dH9LR8CGibDxDyjVAvKffeOvZL+YhHQCfK2E+J0xymHdr7BnIdj8oVbv0z+zw5uhx3fgd+m18Q4lpLFsVxxLd8ax/mAirxddT8P1v4FhhXbvwOJP4NhOz6iMUi3AN5iElBQqOTaSZvqQp+u7F++gwvlXw4kI8mV0nzqX8xZIblK1u+frMj3TuhwVCoYwfUMMc7ceJi4lE7AyoeRb1Ih9DEt6PKZh4WvLXazffYy+41bxTa9antFq1e+CrX/B5inwxyPw8ByY8hRsmIDTtPCO8x425elEnYjSdC+wlGLznoT570HZNlCoRra/BZK7XHWxKCQkhKSkJMqUuch8mddR7969WbhwIXPnzmX58uXUq1fvrO3jx49n165dAPTq1SvL7RqGQa9evXj77bf55ZdfeP311ylRosRZ+3z++eckJydjtVq5996zh8uaFxh+fVLz5s2ZP38+zZo1Y968eVnOJSIiIiIiOVtUbBTlD0BQOljDwgiodYu3I53LNMncMhMfYDE1GdKguLcTicgNyjgx6uKyRxYBhBXzXPj85y1Y8hlEfef58jQMZVqD2+lZjyM5huDkXdzJLu70mUIKfgxK7cXwWc0Z8c8OutUqzBvtS+O39AvP8ekJnrvrW7/p+T4lDpaM8Dw23TB7ENz721W9drmwo8kZfDB9K79F7adkRCDTnmqCn90KafGeUUQAzZ6HJs9Csfo4J/4P2845zBrWm0klB1I2XxD+diuHEtKJPp5GbGI6SelOkjOcpGQ4STk58gIoYhym6rE3wQCavQj1HoGqPeDPJzwX2bd7biI/WYKanfc+OhfWmi5y/RiGQYeqBelQtSAOl5tVe+KxWgzqlAjH2DkKfrkPo/YDDKrYlftHr2DRjqPcPXI53/auTUSQL3T6BPYthyNbYEQdSIrGgZX+jv5Md9eFaDdLo7fzKRH8XbAFFePnwh//g0fmg83X2y9fbmBXPQ1dwYIFAXC7zzPU1wt69+5N1apVMU2Tbt26MWeOZ5ix2+1m/Pjxp9YOat++PS1btjzr2EGDBmEYBoZhnJo27kzPPfccBQoUIDU1lY4dOxIVFQVAZmYmX375Ja+//joA/fr1o1y5ctfwVYqIiIiISG4RFRtF7e2ez1NBzZpi2G7AdTeObMEnJZp0005k1ZbkC/a79DEiclM6uWbRFRWLwHMhs83b0OtPCCkMPkFQ71Hov9pTzLn/d3huKzy/C+78HmreB0H5CSSdd33H0q5wGpkuNz+v2M/snz+GlMNgPzG91LKvSDmyl3UHjmMuHAaZSZCnNFhsngLC7oXZ8h7cUDKSYe0v4Ej3SvcOl5tRC3fR4oN5/LpqP6YJu46m8O3i3Z4d5rwJqUchb3lo0B+AJX5NuDfDs0ZQa8dcDq5fyMezt/PO31sYs2QPGzdt4J6YD+h2fDS1U+aT13GQYCON9gWTGVIjnrEh3xBspLGW8sTWeNzTT0AeuOtHuH8SO+oN5VPbAwx3dOdt530U6fyyN94aEQDsVgsNSkdQt2Qez1qQZVrByweg3TvUKp6H7x+qS1iAnbX7j9PtyyXsjUuBwAi47USxOymaTGz8L/NpjhRty6IXW/B+92q0q1wAMLj3UE+SrOFwZDPMfM0zZZ3IBVz1p5D69euzdetWtmzZgtvtPrVmkLfYbDYmT55MixYt2LNnD61atSIgIAC32016uucfxpo1a/Ljjz9edtuhoaFMnTqVtm3bsmnTJmrXrk1wcDDp6ek4HA7AM/3cRx9pHkgREREREbm0k+sVvbzDc1U1qMWtXk50fsfX/kUYsMxdiV7NKno7jojcwAyLDRMwLjHDyiWVag5P/usZ9WM/T4E6MAIqdfF8ud3wfVesu+fzVZ5f+bvZJzzx0yqq7hnjuU265eueKZv2Lmb+1wN4M/k2FvmP9FwUa/8ebJsOK0fBrNfh4X9OrUmTZY40z3R2lW4D3+Cre93ZbfqLsOYHOLASOg67oiYcLjdzNh8mzeGka43CngvaZ0jLdHEgPpWy+YPPef6hsStZsjMOgKqFQ2lSNi9fzNvJF3N3cnehw4SvOjFyrOMwsPmw+2gKj/6wmgRXeZZGtKNB4nS+jhzP8KKfke6CYkEmD24ZSHjyjnODxp/4AlII4PGMRynw8zp+7lcfu9XCzqMpjFkfyffLSgAlKJYngGF3VqdmictYX0jkerCevmRfq3geJj7akN7frmBPXCp3fLGE59qWp3RkHSrWe4aMVT/ybNoD7Aipz5/31yJvkC931g7gztpFmRB1gBcnrmNA2gOM9BkOK77BtW85R5q8Q3JkNUrlDcJiMS4SRG42V10s6tWrF2PHjiU+Pp7ff/+d7t0vf57G7FaiRAnWrVvHhx9+yO+//87u3bux2+1UrlyZu+++m/79++Pj43NFbdeqVYuNGzfy3nvvMXXqVPbv309gYCBVqlShd+/ePPjgg14vmImIiIiISM4QnRKNZX8MhY4BNhuBjRt5O9K5TJPkNRMIA/ZHNKR5gRBvJxKRG5jFasUFGNkxAY0ti9duLBZPseHLhrB9Ju1rrmJo+V0U33uY4wRDhbuwRFQnZG972jrmEGSPxWZmsjOgGsVL3oqtYHXP6JvoNbDpD6jS7fJyznkLln0OO+Z41ti5UaQchXXjPY9Xj/NM8RZSKMuHH4hP5ZcV+/l11X6OJGWcev72MjZY+jmkHMHtdrFqWyz7UmzMKNedh3reib+vjXSHi77jVrFkZxyBPlYGdq5Ej1pFAVi84yiOg2ux//oeYEK1u6BkExJSHTw0ZiUJaQ5qFA2j5t3D4atF5E9cz3vltkK1nvBbL0jeAUH5oVw7iFkHsZvAlQE+wRBcAEIKkVT9CRImmRzYG0/fcas4nJjBpkOJp17DvfWK8UqHigT63oCjeUX+o3RkEL8/1pAHx6xkw8FEXv59/YktdYDaBPjYmNi7NnmDzp5irnutIoT623n8J4MXHX151fYjITFryfdbR+a5mjE1sAJ1y+TnllIF8MtbAorUPatQJTefq/7pt2jRgp49e/Lrr7/Sv39/qlevTtmyZbMj21UJDg5m8ODBDB48OMvHDBo0iEGDBl1yv/z58zN8+HCGDx9+FQnPpnWKRERERERuPlGxUdQ+MaoosG5drEFBXk50rnX//EK11M2kmT6Uu7W3t+OIyA3OYvEUiyxXObDosuUtC42eggUfwPSX6OHrWZHmO0cbNk/eSUyim0dddWhvXUlTq+dC6wvxtxPx0xo+vbsmfg2fhHlDPdOimSamM51FWw8R7GenRon8YLWDXxiUbgEnptoDIDPVM3IHYOPv0PQ5yF/5Or/4C1g91lNEAXBlwuJPof27lzzMNE2+XbyHodM243J7fpB+dgvpDheb//qcrrYfMdITAM/ArSbgucK4aw5b3x9OUNMn+HKTDfYfoLtPCo81K0mpSnXgxAiGd+tlUmjq2wS5UknLWxX/9u+yLTaJV35fz66jKRQK9eObXrXwC/bzvJ+zB3m+jm6DzZPBYvdMQVjsxDrlLic408H39L+hBYBh9hj6fR/FvK1HALBZDBqXzctDjUvSpGzkVb+9ItdTvmA/fu3XgBFzd7DhYAJ74lI4GJ+G1WLhk7tqUrHg+W/maV0pP+MerMsj31uZk3YLL9t/opt1IXfZ5kHGPNiI5wtw+4VhKdfWU4gt0wr8dIPQzSZbSoUjR44kOTmZv/76izp16vDGG2/Qp08fwsPDs6N5ERERERGRXCkqNopaJ9cruvXGm4LuQFwSAQuHALAif0+aVdMUdCJycYb15JpF17tahGfkzPrxEL8HCwdx2/z5MbMtRzfFAjAy4D7amVEYppsjBZuzfn9FMjfF8sRPqxl512MYq0ZD/B6Y+BAGJ4ogAP+e0UezF0lt9AL9xkWR4XTxUbmNFMlIOL197lDP2jjZLDYxneW7jxHkayUswIc8AT4UyxNw4SmkXE7Mld9iABNdjelmXQRR30HjZyA4/wX7cbrcvDl1EzuW/8Uftp8J8PXBr1AlIktWZf2CP6jtXA9OoGAN0sp34cv5e0nKdNMh8ijVjs+mvGs7zH2KtwFODgxbCCx+Hkq3hJJNqTjvXTBSWeUux2eWNwiZtIep66IxTQjwsTKqd53Ta+PVfwyixkL8blh4Yhq9jsNOF4rAMxLCeu7NFm0qF+DN2yqzYNtRWlbMR7vKBQgPvLKZhkRuBIG+Nl5sV+HU95lON5kuN0GXGCFXv1QEy19pybGUTPIE9oSDy3BEjSM69gjRcYk4M9OoYtlDePpxWPer58tihxKNoXx7T+EovOTlT9EpOc5VF4sefPBBAPLmzUtwcDCJiYk899xzvPTSS1SsWJHSpUsTHBycpanZDMNg9OjRVxtJREREREQkR9iyayU9DngeB7do7s0o58hwupgw5iOeZj9JRhD1e73p7UgikgNYLJ5LTYYXakXY/aHDh/CjZ4kES+0H6G2/hWGzthHsZ+PNh27H2BYNa38m8vb3GJOUlz7frWT25sP8sjY/d9/2OSz+BKfbZPn+FFKdFsAk3BduKWDFcmAlLPmMYTH1WLTDsy52XPQXFLGAs9rd2Nb9AlumQvS/UKjG6VxXUThzutyMWbKHj2ZtIyXz7IXpKxQIZlTv2hQJDzj3wK1/YSQeIM4M5hXHw5QyYqjp3AFLP4M2b5+3r+QMJ/1/Wo3P9ml8Z/8MX8MJDmDvVtj7B7WBNNOHT8076dPzPb5euI9v03ZTJl8Qr/RvwvEj0cz54X0aJP6Nv+EgMDwfgWH5IP04xKyH7TM8X0B6kUY8vLsvx/dlwr5oANpXKcCzbcpRJt8Zax/ZfD15f73X833th6BW1ke59mpQgl4NSmR5f5GcxMdmwceWtQKOn91KoTB/zzclGmEv0YjiQFG3yfxtR3ho9hasB1fSyhpFa+saSrmjYddczxeATzBmgSokhVUisEp7rKVbaMq6XOiqf6Jjxow5a2E7wzAwTROHw8H69etZv379RY4+l4pFIiIiIiJyMziadpSItXuxmmArWwZ74cLejnSWd6es5aHEsWCAq+HT+AZpAXARuTTLiYuHluxYs+hKlG0NdfvBrvnQ8EkeDypA6XxBVCoYQom8gVD4FWjxCgAN88HzbcozZNpmhvy1mSZPN6FIn9YMnbKJb7ftpkREAEnpTuKSMxlQoixP8hgcWEmpjZ9jGA/Rq3g81WN2kWla6ba9La8GHqZ+yhzWjHuRkUWHUirCj/bxP1Nh13dUDG8GZvusv46kGGJmfcr8bYfZkBhJCbMwRmQ5DJ8A4lMzOZyUwZaYJLp+voTRvWtTvWjYWYdnLv0KH+Bn162UyB/Bp0du5zufDzyjjRo9A4ERxCVn8NPyfWyNTWL30RR2HUmhg2su79u/xmqYULGLZ/2mo9vgyBZMqw8D9rfi72h/1k3YwLJdxwB4o3Ml7FYLkQWK0P2Zj5m67kUqFAwm35lr3B3ZBhsmwKbJkK8Cfl2/pO+ig3wwYyutK+Xn6VZlqVwo9PzvRYWOnikG0xOg3aWn0RORrLNYDFpUyEfz8pHM21qBj2bX450DCZQyorkvfBN3hW7A//BajMwkjH1LCdm3FNaNxgzIi1HlDijVHNxOcKR5prssVBMKVPX2y5IrlC3lP/MCd0hc6PkLObPoJCIiIiIikpstjV5KrRPrFYW2bOnlNKc5XW7en7EV96oxFLEfJcM/P2HNHvd2LBHJIYwTM8t4ZWTRSR0+OPXQAnSoWvCCuz7YuCTTN8YQtTeelyau59WOFRm7dA8Ab95WheNpDp78eQ0j5u6kUdunqXXgXnpa55JZ5388YCyHGJhrbcj6eB9eMjow22cuNdOXYWycRFPbDCpbtgJQ7vBfJM8cjL3j23Di+te/+48zesF2wgL8aFkpPw1KR2BxO9kx5UNKbPiMAmYaPYGeJ2ZOMx2hGN1/geK3cighjQfHrGLzoUR6frOUT3pUpW21Ip4dYzfis38JTtPCqrxd+f3RhnT+1MX6pPFUdeyBWQPZ7luBRStXU8hxmEJAM9OCr+Ggi89STxs17oPOn5w1csAA+u6L5+8vlrB4RxwAbSrlP2v9H5vVQtea57n5IbKcp0h3olAH8HiLMjzcpCS+Nuu5+5/JMKC1RreKXEuGcbpoNCHqAG9NtfHmsUK8k9CaQsE2/FJ3UsnYSy3LNtpbVxCRehRWfOP5+q/8VUgo1405zmocjosn4VgMaQnHCCrbiGe6t8R6oekzxeuuulj0xhtvZEcOERERERGRm8q8XbO5Z5fnampwixZeTuNxLCWTV3+Yg3XvYgbZ/wDAt+XL4HOeKY5ERM7DcmrNIi8HySKrxeCD7tXo8OlCFu04yn2jluNym7SvUoCm5SIxTZM/1xxkzpbDdJtmMNJ+C62tq+md+BXs8xRWmtz9AsOTSpHhrMr+dQspeWASn/t8CkCqEcBUV33utPxD0KoRRLvsRHR8nTFT/yE06nM+tCzEgY3dawow2yhMRWMvFfHMT/qvuzQpEVWpGxiLPW4LRlo8/N4PHl1MwdBQxv+vAU/8GEWDXZ/QeuI0dk4uRUKBRkRm7KUoMMuszfN3tiTQ18bQbtUYMep2vvb5CP79gbJAWYDz1WnqP+6Z+u08S0rcUiycLtULMXltND42C691rHRV7/8lC0Uicl0ZhkGP2kVpWi6SV//YwOzNsew97iDUvzRtG9yKPdyfehPX0NiygdeLb6Q0Bz1TgNr8ABP2LoHYDYTGbuCO/7R9YOM4Xnd9z1s9G6hgdINSsUhEREREROQ6S3emkzZ/AQEZYOYJw6+q96frODjvWzLnD+NL88DpRcnzlIaa93k1l4jkLF5ds+gKlYoM4vm2FXhr6ibiUjLxt1t5rZOnCGIYBm91rcKy4fNJyXTxpfU+Whn/Ytk5x3NwZEUCyjThjpOz5ZQdDJ9N9UzLVLQeAXd8Q7W0MD765lWe4QcKrfmINWtn8rBrE1ar503yxUlVYw9V2QPAMUJYUfpJqnZ6jBrhgZ52M5Lgq8YQvwemPQ93fEOQr43RFVZh3fcXAKWdO+HAzlOvK77KA7Q/MbVb/VIR/HlLV/5Yu4LKxh4OmJEE5CtJrapVsdvtYLrA7YLICp5p3y4y+8+rHSsSn5pJp2oFKRahmwlEcqP8IX6M7FWLWZtiOZyUwe01CxPo6/n9HpeSyfvTbSzYU4Nv+9Shefl8ALjdJqNnrWb3gh+5w7qQypZ9OHxCcfmF458WSxHHUapufJ+XJg7mvW7VsKhgdMPRKlQiIiIiIiLX2bIDS7htnmdx9Lx33nVq2iZvyUhNIGzeywTiyZQeUQm/ss2h/mNgtXs1m4jkLBbbiTWL8CxPkFOWHHigYQlmbIxhxe5j9G9ZhsInF4IHCoX5M+T2qrw/fQv9b++MsXU1rPnBs7H2g2cXVsJLwD2/QVIMVOsJVhulgxwUrtaGSQd86XpsNDXdG8GAwwWaka/9yxAQgfvoNmJ3bSDV4aZIy0doFxxxdkDfYLhjJHzbFtb9CuXagcWGdearACQ3fJG1KeG4d86lRNIa9viU446ud57VxEsdKnPb7udJSHPwbrdq1K9c4Ireq/whfnz/UL0rOlZEcg7DMGhznt8TjzYrze4jKYyPOsADY1ZSKNSf4hEBOF0mK/YcA1pi1H6Aap0r42878Tfu3iWY33Xgbttcpq+py4uggtENSMUiERERERGR62zn7+NoeBQyA3yIePABb8chatoYGpLOfgoS2n8+IRH5vR1JRHIoi+WMacXcbrDmjGnGLBaDb/vUYfXeeJqUzXvO9q41C59ei6fgK7DxT896PtXuPGdfypy7Dp2vFdr/711WTsqP7fB6SnV4mnylap/uP7IcBSt2unjIonWhybOw4AOY+jQ4MwAT6jxMUOuXaWQYwKM4XG4KGcY50zyFBtiZ/nRTbBYDm9W7NymISM5lGAZDbq9KfGomszcf5uDxNA4eTwPAx2rhzdsqc1fdYmcfVLwhRv1HYdkXvGsfSduoMlgMg3fuqKqC0Q3kiotF69ev5++//2b9+vXExcXh4+NDvnz5qFevHp06dSJ/fn24EBERERER+S9nZgalJq4CwLyrE9aQEK/myXC6CNj4MwBHyvagqApFInIVzhwpabpcGDmkWAQQ5GujabnIS+8YWhgeXQyGBfzDsty+YRjUufPFKw8I0OxF2DEbotd4vi/bFtq9d9boJvtFCkF+9pzz8xCRG5ePzcLIXrU5mpzJvmMp7DmaSmxSOs3L5aNSoQv8bXvr67BtBgWP7WSg/XueW/U/DAOG3q6C0Y3isotFMTEx9O3bl2nTpp13++jRo/H19eXJJ59k6NChWLw8nYKIiIiIiMiNZMNPX1AgzkWSv0GNR1/wdhymz1vIbeZmXFio1P4Rb8cRkRzOajk9daXbdJNrrwqFF/dOv1a7Zzq6sZ0hTyno/q1nhJOIyHVmGAaRwb5EBvtSq3ieSx/gEwBdv4Rv29LduoDp7rr8stJT6x7StSrJmU52HUnB4XJzS7Hwc0ZHyrV3Wf+aHDx4kIYNG3LgwIELzjtrmibp6el88MEHbNy4kSlTpmRbWBERERERkZzMzMzEOfonfIHtHStTNzjUq3kynC4Slo4B4FBkI4rkKeLVPCKS8xm20yNXXM5MbL5+XkyTS+UtC0+vB4vt7PWSRERudMXqQcMnYMlnjAgaQ4PEcvy8Yj9/rTtEYrrz1G63VsjHiHtqEuCjYvj1dFk3ePTq1Yv9+/cDnsqhaZrYbDYKFChAnjynq4cnt02bNo1hw4Zlb2IREREREZEcKv733wk8kszxQCh4/4PejsP4FXto55wLQL6mfb2cRkRyA4vl9IU90+X2YpJczmpXoUhEcqYWr0HecvhlHOXP0pOxGJwqFEUG++Jrs7BgSzTPfjGBxH//hNXfw/JvYNHHsPhTSIv3bv5cLMuluSVLljB37txThaBq1aoxZMgQWrVqha+vLwBxcXH8+uuvDBw4kPj4eEzT5P333+fJJ5/EbrdfogcREREREZHcy3S7iR35NQBTGvnwWqlmXs2T4XTx7z8TuM84TppPOP4V23s1j4jkDtYz1ihyu50X2VNERG5Kdj/o+hWMbkWxA1NZ1OU2jhRpQ8kwCyFrR5O+chy2hD3Yjrth0nmOj1kP3UZe79Q3hSyPLPrll19OPa5fvz7Lli2jY8eOpwpFABERETz22GMsWbKE0FDPdApHjx5lzpw52RhZREREREQk50lZshQOxpDiC2kdGhFgD/BalpiEdPp8u5LWGTMBsNe8G2w+XssjIrmHYTmjWORyeTGJiIjcsIrUgkZPA1Bo0StUPzyJkFENYfYg/BJ2YcNNKn5scJdgrrsGUUHNiC3exXPs+vEQu9F72XOxLBeLli9ffurxF198gZ/fheecLVeuHC+8cHqh1mXLll1hPBERERERkZzPNE02fvsRAAsrGzQt3dprWWZujKHdJwvYvmsXt1rWAGCr1ctreUQkd7HaTs8s43I5vJhERERuaM1fgsiKkHIEpjwFCfshpDDc9jk8s4mUAXsZUuRrHsh8gW5HH6He1ruYY2kImPDPEG+nz5WyXCzas2cPAMWLF6dGjRqX3P+OO+4451gREREREZGbTUJGAq9NfoKAZZ47IA+3qUGHUh28kmX4zK30+z6K46kOXg2bid1wQeFakK+iV/KISO5z5ppFbrdGFomIyAXYfOH2L8HmBz5BcOvr0D8Kat4HoYWJDPHj5371+fupJvRpWIIQPxtD027HZRqw9S/Sd3sGqLjdJgu3H+HJn9cwc2OMl19UzpblNYsSEhIwDIMSJUpkaf8z90tISLjcXCIiIiIiIjne4dTD3DftPurPOojNDUnlCjGk9w9YjCzft5dt4lIyGTF3BwCv1jbpunGyZ0Ozl657FhHJvSyW07/fTBWLRETkYgrVhKfWgt0f/ELPu0vFgiEM6lKZl9pX4NM525m4uCl3Wuez8YfnmV1nJH+uOUh0QjoASekO2lQucD1fQa6S5U8omZmZABedfu5MPj6n57vOyMi4zFgiIiIiIiI53/ht44lJjqbNOgOAcg/090qhCGD25sO4TahaKIS+iZ9jmC6o0AnKtfFKHhHJnSyGBbfnVx5up9O7YURE5MYXXOCChaIz+dmtvNCuAqW7vYUDG7Vc61i74E+iE9IJ8bNxX/1iPNO63HUInHtleWSRiIiIiIiIZJ1pmszcM5Nqu0wi4t1YQkIIad/Oa3lmbIwF4KnIKNi6BOwB0O5dr+URkdzpZLHIYoLLrWKRiIhkr1o1qpO+rw/21aP43P9rXGElyeNvxXLUDbvaQpHnvR0xx1KxSERERERE5BrYcXwHuxJ28fy/nu9Db7sNSxZnashuqU5YuusYISTTYt+nniebvQBhRb2SR0Ryt5Mji0yX27tBREQkV/K79UXY8AvhmXEQF3d6Q97y3guVC6hYJCIiIiIicg0sWDGeNlFuau0wAQi/s4fXsmw4ZuB0m7wdMglrWpzng3T9x72WR0RyN/PkNHQaWSQiItdCUD7oOxdi1oHFCobV899Q3Qh1NS67WLRixQpuvfXWa3KMYRjMmTPnciOJiIiIiIjcMI5PnMjRr7+h4b59NDzxXED9+viWLeu1TGuPGUSQQEfHDM8THT8Em8/FDxIRuULmqZFFLu8GERGR3CuynOdLss1lF4vi4+OZP39+lvY1DCPLx5imeWp/ERERERGRnMidnk7MkKGYqak4LbCjsIV6tz1C/l59vJYpKd3JluMGva2LsJouKHQLlGzqtTwikvu5LSf+61axSEREJKe4rGKRaZrXKoeIiIiIiEiOl7JkKWZqKukRQTzSO416ZVpw+61PejXTvG1HcJpwv88CMIFb7vdqHhHJ/U5NQ+fSNHQiIiI5RZaLRb17976WOURERERERHK8pNmzAVhVzkqar0HbEm29nAhmbIylprGDEuZ+sPlDlW7ejiQiuZxpGICJ6XZ7O4qIiIhkUZaLRd999921zCEiIiIiIpKjmU4nyf/8A8Cckkn4WPxoXqS5VzOlZjpZsP0oA63zPE9Uug38Qr0ZSURuAhpZJCIikvNYvB1AREREREQkN0hdvRrX8eNkBvmyuahBo8KNCPIJ8mqmeVuPgCOVLtalnic0BZ2IXAfuk8UirVkkIiKSY6hYJCIiIiIikg1OTkG3pqwVt+XGmILu+6V76WhdTqCRjhleEoo38nYkEbkJeKahA9OlYpGIiEhOoWKRiIiIiIjIVTJNk+TZcwBYUCqdAoEFaFG0hVczbTiYwNJdcfS0zgPAXf1eOHEBV0TkWjJPXG1ymyoWiYiI5BRZXrNIREREREREzi9j82Yc0dFk2GBtSYNPGrxBgD3Aq5lGLtxFSeMQdSxbMTFwV+2J1auJRORmcXLNItOpYpGIiEhOoZFFIiIiIiIiV+n4zBkA/FvKoF2F22hcuLFX80QfT2Puul0Ms38JQGxINQgp6NVMInLzcJ+chk5rFomIiOQYKhaJiIiIiIhcpX1/TQRgU+Ugnq/9vJfTwPcLN/O19UNusezA9AtjU6Ge3o4kIjeTEyOL3CoWiYiI5BgqFomIiIiIiFyFbesXELw/DpcBbe55mTC/MK/mSUxJocGqATSwbsJpC8R1928k+RfxaiYRubmYFk+1yO1SsUhERCSnULFIRERERETkKkSN/wKAQ2XDaVmlq3fDHIgicXQ3mhprSMcHy73jMQvd4t1MInLTObVmkUYWiYiI5Bg2bwcQERERERHJqVIdqQQs3QBAZLtOGCfW6biu3G7YMBGWfwUHV1EEyDBtLKv3Gc1LNsLlcFz/TCJyUzu9ZpHby0lEREQkq1QsEhERERERuUJz1/5Bmf2eO+crde3jnRAL3od57wDgwM6frgZMCbyDr1v38E4eEZGT09C5nV4OIiIiIlmlYpGIiIiIiMgV2j7lJ0oBSaXy41Oo0PUPkJ4ASz8HYFmBe3l8T2NS7XmY2Kshfnbr9c8jIsIZ09BpzSIREZEcQ8UiERERERGRK7A/aT+RK3cDENm+k3dCrPoWMhJJDC7N3XvaY2JhRI9qVCoU4p08IiKAeXIaOpemoRMREckpLN4OICIiIiIikhNNXTeeqntNAAq173r9AzjSYekXALx9vC0mFh5tXppO1bwwwklE5AzmiatNpqmRRSIiIjmFikUiIiIiIiKXyeV2sXvmROwucBSOxKd06esfYu1PkHKYo9ZIfnfUp3n5SJ5rU/765xAR+Y+TI4vcbhWLREREcgoVi0RERERERC7T8kPLKbcuHoC87TphnLgwet24XbD4UwBGpLcHi523u1bBarnOOUREzkfT0ImIiOQ4KhaJiIiIiIhcpsmbJ1Jzp2cKuvDWba5/gE1/Qvxukiwh/OpqTteahSkSHnD9c4iInId5onBtamSRiIhIjqFikYiIiIiIyGWITo4mZuEsAjLBjAjHr1q16xvA7YZFHwEwKqM16YYfjzb3wjR4IiIXcHIaOjSySEREJMdQsUhEREREROQyfLn2S2ptdQIQ3qYthuU6f6xa8TXErCPD8GOsqw0dqhSkdGTQ9c0gInIxFq1ZJCIiktOoWCQiIiIiIpJFuxJ2sXrpJBps9kxBF9yy1fUNELsJZr0BwJDMuzlOMI+10KgiEbmxmCcGFplujSwSERHJKVQsEhERERERyaKfpr3H6z85CcwAv6pVCaxX9/p17syA3/uCK4NNQQ0Y52rFrRXyUblQ6PXLICKSBeaJEZdas0hERCTnULFIREREREQkCzavmknLDxYQmgqUL02xUSMx7Pbr0rdpmhye9ArEbiCeUHod7QUYPK5RRSJyIzo1skjFIhERkZxCxSIREREREZFLyNyzh5RHnycsFeKKhlBu7A9YQ6/fiJ5ff/uBfBtGAfBsZl+S7eE83qI0tYrnuW4ZRESyyjyxZhGahk5ERCTHsHk7gIiIiIiIyI3MnZbG9kf7EZiUyZ58BpVGj8YaFnbd+l+57QANNw4GCywM7UL3Vg8zonwkAT76OCciNyjDUyxya2SRiIhIjqFPFyIiIiIiIhcR8/bbWHbv53ggrH25M+2LVblufadlutg6fiB1LEc4bs9Hk8e+BN+g69a/iMiVOLlmkX3/YS8nERERkazSNHQiIiIiIiIXcHzSJBIm/o7bgBG32bm/yZPXtf8xk6bRM3MSAD6dP1ShSERyhN1VIwAIHz+X4xMnejmNiIiIZIWKRSIiIiIiIueRsWMHMYPfBGB8Ywslb+1C4aDC163/lbuPUnvDm9gNF0eKtCag2m3XrW8RkauxsVEhptT1TEV36PWBJE6f4eVEIiIicikqFomIiIiIiPyH6XJx8JkBmGlprCth8EdDCw9Vfei69Z+W6WL+L8OpY9lGhsWfyB4fX7e+RUSuVrBPCN/famF2DQPcbvY9+wxRf47ydiwRERG5CK1ZJCIiIiIi8h8pS5aSsX07GQE2Pu1i0qZUO0qGlrxu/X8+bQV9078DA9zNX4XQItetbxGRq/V0racJ8Q1hSsA8/DOiabTZhIHD2FWxGqXK1fV2PBERETkPjSwSERERERH5j4Q/fgdgbkU3iYEGD1d9+Lr1HbX3GGmrfiDUSCU5tCz+jR69bn2LiGSHQkGFeK3+a8zoMYvGX48nukQQARmw6YUncbld3o4nIiIi56FikYiIiIiIyBlcx4+TNGs2AHOrGTQv2pzyecpfl77THS6e/20t91jmABDU+FGwakIIEcmZDMOgQr7KlPvwMzKtUHpLAnO+fNXbsUREROQ8VCwSERERERE5Q8Jff2E6HOzNZ7A7P/Sr2u+69T181jYij0VR2nII0x4IVXtct75FRK6VolXqc/jelgBEfPMn0bvWezmRiIiI/JeKRSIiIiIiImc4PP4XAOZWNehWrjtVI6tel36j9sYzauEu7rV5RjUZVbuDX8h16VtE5Fpr8fxwDhYLJCAD1j7/KG6329uRRERE5AwqFomIiIiIiJwQu34l5pYdOC2Q1KImr9a7PtMlLd0ZxwPfrSDMTKSDdaXnydoPXJe+RUSuB5vdhxLvfUimFUpsjGPhZ5qOTkRE5EaSa4tFSUlJDBo0iKpVqxIUFERoaCh16tRh2LBhZGZmXlXbsbGxPPvss5QvXx5/f3/y5MlDkyZNGDVqFKZpXvC4HTt2MGzYMDp37kzx4sXx9fUlMDCQcuXK8dBDDxEVFXVVuURERERE5MplujKZPuJ5ADZVDGBopxHYrfZr3u+EqAP0+nY5ielOns67EhtOKFTT8yUikouUqdmc/Xc3ASDiq0ns/meydwOJiIjIKblypdS9e/fSvHlz9uzZA0BAQAAZGRmsWrWKVatW8eOPPzJnzhzCw8Mvu+2oqCjatm1LXFwcAEFBQSQlJbFo0SIWLVrEhAkTmDx5Mj4+Pmcdt3jxYho3bnzWc8HBwWRkZLB9+3a2b9/OmDFjePXVV3nzzTev7IWLiIiIiMgV+3zlJzRYGQvALQ88T5hf2DXtzzRNPpq9nU/nbAegc9X83Hd0rmdjLY0qEpHcqe3LnzNpc3OqRB0j/tlXyD+xEgGlyng7loiIyE0v140scjqddO7cmT179lCwYEFmzZpFSkoKqamp/PLLLwQHB7NmzRruu+++y247ISGBTp06ERcXR4UKFVi5ciVJSUmkpKQwYsQI7HY7M2bM4Omnnz7nWIfDgdVqpWvXrowfP56jR4+SmJhIamoqK1asoHHjxrjdbt566y1Gjx6dDe+EiIiIiIhk1b6EfUT/PI7QVHDlCaFMu+7XvM95W4+cKhQ93qI0n9RLwhK/C3yCoUq3a96/iIg32K12Gnz6AzuKWPFPc7HpoftxJSR4O5aIiMhNL9cVi8aOHcv69esBmDhxIq1atQLAYrHQs2dPvv76awCmTZvGnDlzLqvtDz/8kJiYGPz9/Zk2bRq1a9cGwMfHh8cff5zBgwcD8M0337Bt27azji1TpgybN2/mjz/+oHv37kRERABgtVqpU6cOc+bMoVq1agC88847V/jqRURERETkcpimSdLcuey5804enOEEIF+3nhi2az8Jw5glewB4oH5hns+3Csvkxz0bqt0JvkHXvH8REW8pElESn/cHciQEAg8dZ/PjD190Wn8RERG59nJlsQigRYsWNGjQ4Jztd911FyVLlgRg3Lhxl9X2yf3PbONM/fv3JygoCJfLxY8//njWtiJFilC2bNkLtu3j43NqtNPOnTuJj4+/rGwiIiIiInJ5zMxM9j/0EAcefYzIvQmk28G453byPvH4Ne97z9EU5m87Qkvral7e+zD8+TgkHoTQotDoqWvev4iIt7W95U6WP9OSdDtYV21g/2/fezuSiIjITS1XFYtSU1NZvHgxAO3btz/vPoZh0K5dOwBmzpyZ5ba3bt3Kvn37Ltp2UFAQTZo0uey2T/Lz8zv12OVyXfbxIiIiIiKSdUnz55OyZCkOm8Gf9Q1mfng7FQYOxeLre837/mHZXppa1jLa/iE+8dvBPxzavA1PrITw4te8fxGRG8Fj3d9jTkvPzCux779P4tFDXk4kIiJy88pVxaLNmzfjdrsBqFKlygX3O7ktJiaGY8eOZantDRs2nHP8xdretGlTlto907x58wAoWLDgqWnqRERERETk2kicPAWAv2vBH62DeajpgOvSb1qmiwmr9vKK7SfPE1V7wFNroWF/sPtflwwiIjeCQHsgdw4cx6FIK0EpLqa+ci8Ol8PbsURERG5K134i7usoOjr61OPChQtfcL8zt0VHR5MnT55sbzsxMZHk5GSCgrI21/jSpUuZNGkSAA8//DCGYVx0/4yMDDIyMk59n5iYCIDD4cDh0B9WJ518L/SeSE6m81hyOp3DktPpHM6dXAmJJM2bC8CCKhYerPwgobbQ6/Jz/mP1AVo55lLBvh/TLwxn63fAGgDXqG+dw5LT6RzO3QoGF+X4Ky/DM29TfeEhhv/0BM/0/OyS10VyEp3DktPpHJac7mY+hy/nNeeqYlFSUtKpxwEBARfc78xtZx5zLdrOSrHoyJEj3H333bjdbsqWLcsLL7xwyWPeeecdBg8efM7zM2fOvGi+m9WsWbO8HUHkquk8lpxO57DkdDqHc5eUxb9T0+FkTz5ILhBBxJ4Ipu2dds37NU0Ytc7FD7bxAGzM046dc5dc835B57DkfDqHc7MgAquWpPD63VT4bgEv2V6kWUBzb4fKdjqHJafTOSw53c14DqempmZ531xVLMqJkpOT6dKlC3v37iU4OJjx48dnqcD08ssvM2DA6WkyEhMTKVq0KG3atCEkJORaRs5RHA4Hs2bNonXr1tjtdm/HEbkiOo8lp9M5LDmdzuHcxeFy8PGaj6m4egUAu+oX5ecuY4gMiLwu/a/Zd5w2K1+jkP0YruDClL//Q8rb/C594FXQOSw5nc7hm4OzVi12dupIuehMliyZTanXHqRCngrejpUtdA5LTqdzWHK6m/kcPjkjWVbkqmJRcHDwqccXq5idue3MYy6n7QsVZC6n7ZSUFDp27MiyZcsICgpi2rRpVK9ePUt5fH198T3Pwrt2u/2mO+GzQu+L5AY6jyWn0zksOZ3O4dzhrRVvsXjl79x+AEzD4KEBY/ALLXRd+na5Tb6ft5YhtskAWFsNxOqftc8j2UHnsOR0OodzN3uRIhR85lkOv/MO9892MqbYAIYMmIqv9dxrHzmVzmHJ6XQOS053M57Dl/N6Ldcwx3VXqNDpD3kHDx684H5nbjvzmOxsOyQk5KIjhE4WihYsWEBgYCB//fUXjRs3zlIWERERERG5fGuPrOWPHX/QZKMJQFCDBvgVuH6Fohd+W03T3Z8QYqSSHlEJqt55XfoWEckp8vS6H7+ObbGacPcPB/huypvejiQiInLTyFXFoooVK2KxeF7Shg0bLrjfyW0FChQgT548WWq7SpUq5xx/sbYrVap0wX1OFormz59PQEAAf/31F02bNs1SDhERERERuXxu0827y98F06TDVs8an6G3dbkufbvcJq//sohOG5+hh20BAH4dhoIlV30cExG5aoZhUPyd98msUoaADKj4zu+s2jCTpLX/EvPdKPa/8ToZO3Z4O6aIiEiulKs+nQQEBNCoUSMApk+fft59TNNkxowZALRp0ybLbZcrV45ixYpdtO2UlBQWLlx40bZTUlLo0KED8+fPJzAwkGnTptGsWbMs5xARERERkcv3544/2RC3gaqH/Qg+nIzh709wq1bXvF+X2+SDH/7k4S0P08K6FpfVD7qNhtItrnnfIiI5kcXHh8ojx5GUL4h8CRDY/SkO9Lyb+PeGkfzrBFYPfNrbEUVERHKlXFUsAujduzcAc+fOZfny5edsHz9+PLt27QKgV69eWW7XMIxT+//yyy/s2bPnnH0+//xzkpOTsVqt3HvvvedsP1koOjn1nApFIiIiIiLXXnJmMp+s/gRMk8c3FQYguHUrLIGB17zvcZNn8tjO/1HKEkNaQCGsD8+Eqt2veb8iIjmZLTyccqPHkhLguWyV4gvrixsABK7bSVpivDfjiYiI5Eq5slhUtWpVTNOkW7duzJkzBwC328348ePp27cvAO3bt6dly5ZnHTto0CAMw8AwjPMWg5577jkKFChAamoqHTt2JCoqCoDMzEy+/PJLXn/9dQD69etHuXLlzjo2NTWVTp06sWDBAoKCgvj777819ZyIiIiIyHXw9bqviUuP4+FVoeRZtg2sVvKc5+au7DZv62GCo0YQYqRxLLwa/o8vhILVr3m/IiK5QVjZSlSZPoc8E76n7PKltJ+8nCN5rNidsGTSl96OJyIikuvYvB0gu9lsNiZPnkyLFi3Ys2cPrVq1IiAgALfbTXp6OgA1a9bkxx9/vOy2Q0NDmTp1Km3btmXTpk3Url2b4OBg0tPTcTgcgGf6uY8++uicYydMmMC8efMAcDqd9OjR46J9/f777zRs2PCyM4qIiIiIyGn/Hv6XHzb9QKONbtrMPgZAgTcG4l/92hZtoo+nMeSXufxlWQxAnm4fQWDea9qniEhu45evAH75Cpz6PrNhDZgaxeEZUzHvfxnDMLwXTkREJJfJdSOLAEqUKMG6desYOHAgVapUwTAM7HY7tWrV4sMPP2TZsmWEh4dfUdu1atVi48aNPPPMM5QtWxaHw0FgYCCNGzdm5MiR/P333/j6+p5znNvtPvU4PT2d2NjYi35lZmZe8esXERERERHYm7iX/v/0p/R+B09MMwHI8+CDhN955zXt1+Fy88RPq+nsmIbm5MTFAABMEElEQVSP4cJduA4UqX1N+xQRuRlU6foAAKU2xbMuZo2X04iIiOQuuW5k0UnBwcEMHjyYwYMHZ/mYQYMGMWjQoEvulz9/foYPH87w4cOz3HafPn3o06dPlvcXEREREZErdyRmN9982Zt7N8ZRf7uB1WkS1Kol+Z4dcE37dblN3pi8kY37DjPKzzMltqXhE9e0TxGRm0X++s2ICfQhJCWTaX99TvWHR3s7koiISK6RK0cWiYiIiIjIzStm5NccbtGB+349QrMNJr4ZbvyrV6fw++9jWK3XrN/EdAcPj13JT8v3cbt1EXlIgtBiUKHTNetTRORmYths+DRpAIB74XKOpB7xciIREZHcQ8UiERERERHJNTL37+fox59gMeFAPivW+7tRbOxYiv/4A5aAgGvW747DyXQdsZi5W4/gazN4Jc9cz4Z6j4A1107oICJy3RVpdzsAtba5GL/1Ny+nERERyT30qUVERERERHKNbe+/idVlsraEQekx31GuQJ1r0k9KhpMVe46x/kAC2/dHU2rXzzRw+VM+uBQvNwkn5J+d4BMEt9x/TfoXEblZBTZujGmzUjDexTeLf6Zbue7kD8zv7VgiIiI5nopFIiIiIiKSK6Rt3oxl9iIADt7fgruuUaHI5TbpPGIRu46k4EcGY33eo55li2feBgfwz4kda94PfqHXJIOIyM3KGhRIYP36pC5aTJkN8dwx+Q5eb/A67Uq083Y0ERGRHE3T0ImIiIiISK6weeirGCYsq2Tjvq4Dr1k/C7cfYdeRFEJ8TCZGfE09yxac9mDMMq0hrJhnJ98QqP/oNcsgInIzC2nZEoBmu/wgPoHBfz/H67OeJykzycvJREREci6NLBIRERERkRzv+LLF+K/cjNMCRr97rumURL+t2o+Bmx8jxlI5fhnY/LHdNx6KexZdJzPF81+fwGuWQUTkZhbUogUMfpMi+1IZ9enJZ6cypd5Suo2cha+PvzfjiYiI5EgaWSQiIiIiIjmaaZpsG/o6AEtqBXBny6euWV9xyRnM2hTLQNv3VI2fBRYb9Pz+dKEIPEUiFYpERK4Ze4EChN7WBSxnX9aquTyOf/p1xe10eimZiIhIzqVikYiIiIiI5Gj7Px1O8LZDpNuhyJPPEGAPuGZ9/bHmIE3MKB6wzQAMuOMbKNv6mvUnIiLnV+i996i4aSMVNm+iwsYNJA96DKcFSizbx9In7sV0ubwdUUREJEdRsUhERERERHKsuNHfkvLlKADmdCxI+9r3XLO+TNPkrxWbGWof7Xmi4RNQpds1609ERC7NMAwMq5U6d/Vn14CuuAzIM28d6wc8gul2ezueiIhIjqFikYiIiIiI5EjHfvyRwx98AMDPTS00e/o9LMa1+4izZv9x7on/igJGPK48paHFq9esLxERuXxdHhrK/H61cBlgn7GYne8M9nYkERGRHEPFIhERERERyXHif/uN2LfeBuD3hgaJd7emToE617TPf+f8Rg/bAtwYWLt+CXYtoC4iciMxDIMH+4/kj7uKAOD4/jcO/TjGu6FERERyCBWLREREREQkxzBNkyNffEHMwDcAmFrHYEJzHwbUGnBN+01JiKPDnncBiK30IBSrd037ExGRK+Nv86ffcz8w9dZgAI4NeY/j8+Z6OZWIiMiNT8UiERERERHJEUynk5iBb3D0088AmN88D+NaWrin4r0UCyl2TfrcG5fC6Lkb2THidgoYx9hvFKJA17euSV8iIpI98gfmp/Nb41hUzY7FDfuefpLUf//1diwREZEbmopFIiIiIiJyw3Onp3Pgif4cHz8eDIOD/TrweYNEQv3C6FetX7b353C5eXDMSlp/MItS/zxKdcdakk0/djX9GMMnMNv7ExGR7FUhogLl3/uYjcUM7OlO9t51N3vv70XitGmYmZnejiciInLDUbFIRERERERueIc/HEbyvHkYvr4cG9iXFyI9Uwo9Wv1RQn1Ds72/kQt3sWBLNCN8PqOFdS1Oix8Zd/5MsxZts70vERG5NpqWvBVz6PMsrWDgNiB15UoODniWHW3akrF7t7fjiYiI3FBULBIRERERkRtaytKlxP/wAwAHX7mXxx1jcbgdtCrWip7le2ZfR6YJR7ZxZNkvOOe8w48+Q2ljWQVWX2z3/kxE5Vuzry8REbkuetR+gIMv3s1jj1mZ3NQPIsJxxsQQ88YgTNP0djwREZEbhs3bAURERERERC7ElZRE9CuvAnCkXS2eTh8HQJfSXRjccDA2SzZ9pNm3HGYNhP3LiASetHqeNi02jDvHQWkVikREcqqX6r7Etvht/BDyL5vrh/PSp6mkrlhB4uTJhN52m7fjiYiI3BA0skhERERERG5IM/fM5PfHO+I8dIiYMBhQ+V8A7qlwD281eit7CkVHt8Mv98K3bWD/MlwWH9a4yzDB3Zy4hq9jPLIAyre7+n5ERMRr7FY7w5sPJ59/PqKs+1jWrjgAse+9j+v4ce+GExERuUGoWCQiIiIiIjecncd38tvIZ6my4ghuAz7vbMUvOIwnaz7JS3VfwmJkw0eZI1vh62awZSoYFjKq3UdHPuP2zDeJaf4hEW2eg/yVr74fERHxusiASIa3GI7NYuPjcjuJKxCI69gxDn/0sbejiYiI3BBULBIRERERkRvOxNEv8vhkJwDmPV0Y9ewiFt21iL7V+mIYxtV34HLAH4+AIwV34dpMrDeeJptvZ0tqMGXzBdGvaemr70NERG4o1SOr807jd7D5+PFpy3QA4n/7jbR///VuMBERkRuAikUiIiIiInLDME2Tle+/TOeRG/FzgKVuTSq9+BZhfmHZ29HCYRC9hgxbCB1iHuHZeRkcTsqgcJg/H/WsgY9NH5VERHKjdiXb8UOHH0iuXIx5VQ0M02TTs4+TlhDn7WgiIiJepU9AIiIiIiJyQ3BnZnLg+ecJ+nYSAHtaV6Lc6LFYfHyyt6ODq2H++wA8m9qbLSmBFAn35507qjL3ueZUKRyavf2JiMgNpUKeCvza6Vf23d+C+EAIOHiMqb1a8ceWiTjdTm/HExER8QoVi0RERERE5IZw9LMRJE/9C5cBP3YKpvGwMRh2e/Z24kjzTD9nupjsasBUdwOeblWWuc815+66xTSiSETkJhHsE8zQziNIfOsxMm1QZWs624e+TrfJ3Vh/ZL2344mIiFx3+iQkIiIiIiJel3ngAHFjvgPg09ssVO/3PME+wdnbicsBfz4BR7dx2AzndccD3F+/OE+1LIvdqo9GIiI3G8MwaNehP0Xeew+AzitMSszfQe/pvflt62+YpunlhCIiItePPhGJiIiIiIjXHE8/zo+bf2TygO7gcLKuhEFcg/LcUeaO7O0oIxl+6gkbJuDEwrOOR6hZviRvdK6EYRjZ25eIiOQoER27kPeJJwDoN8Ok/4R0lnw1mCF/PkOaM83L6URERK4Pm7cDiIiIiIjIzWnGnhm8ufRNCu1M4M11LtwGbLqnDsNbvInVYs2+jpKPYP7UAyN6DWn48mjmUxzJ14gJ99yCTSOKREQEyPv4Yzj27yPhz8nU3wr1t5rw9wwmf78QnyGv0KlsF+zWbJ4aVURE5AaiT0YiIiIiInJdJWcm8+qiV3lu/nMkZSTQb67n4lvgHbcxuNdYiocUz77OEg/hGtUaI3oNcWYwd2W8yrFCzfjugToE+ereORER8TAMg4LvvkuJX34m7xNP4KpcBrcB1TamEvXxQDr+0ZFft/yKy+3ydlQREZFrQp+ORERERETkutmx+h9WDXmefD5pdIyw0CS4BkUORmEJDKTIM89lb2fpiaSNuQP/47vZ746kj/NlbmvVlEebl9YaRSIicg7DMPCvUQP/GjWIfOJxDv/2M3ED36TnQjdrSkfzdsrbHEo5xNO1nvZ2VBERkWynYpGIiIiIiFwXrtRUYp4aQPUjGSefAaIAyPvo/7DlzZt9nTkzOfbdneQ5tokjZiivhAzhk7vbUaVwaPb1ISIiuVpkj7vImLeI5H/+YfCscPr2jGfsxrF0LNWRsuFlvR1PREQkW+l2OhERERERuS5WDuxPxJEM4oMN/B68j+A2bfAtW4bApk0Iv//+7OvI7WbPt33IE7uUFNOXzwoO5cv+3VQoEhGRy2IYBgXfehNrnjwE7jvK82uL4jSdvL3sbUzT9HY8ERGRbKWRRSIiIiIics3FzZ1N6NQlABx46nYa3vfqNeln34GDHJ7wDLWPz8BhWvmp+Nu83vseTTsnIiJXxBYRQcG33uTA409Qc9Ze7nD78Ff1KP7c+Sddy3T1djwREZFso09MIiIiIiJyTTnj49n/yksAzG8QRJe7Xs/2PjYcOM6Yr94jYGR9ah+fAcCcsq/y8AN9VSgSEZGrEtyyJaHdu4FpctfsDL743MWWD9/iWOxeb0cTERHJNvrUJCIiIiIi14yZmcmel5/HNz6FAxFQ6qWB+Nn8sq19l9vk82mriP+6I31ihpLXSCTaXozN7X6h3X3PYhhGtvUlIiI3r4KDBlHgrTexFytGcDrcNi+V/e06E/ftd7gzM70dT0RE5KqpWCQiIiIiItdExq7dbL2zG455i3FaYHafKrQu1ynb2o9LzuCBb5dSaekAmlg3kGn4cLjO8xR6MYqK9dtnWz8iIiKGzUZ4jx6U/nsamW/0Z28k+KQ5OPz+++zq1InEmTO1jpGIiORoKhaJiIiIiEi22p+4n+/ff4DNt3XE3LKDJD8YdoeVPne8mW0jfdbsi6fTZ4uot+dLWljX4rL44vPwDPJ1fA1sPtnSh4iIyH8ZVivV736Mw5+/yJcdLMQHgmPffg4++RSHXnoJ84xRRhmuDEauG0mXyV1YlbHKi6lFREQuzebtACIiIiIiknus2LWQTS8+Qb31notlG4tbWPJwHXrV60XFiIrZ0scfaw7w4oT1tDaX8LjPZACsXT+HwrdkS/siIiKX0qtaH0IeC+OZSm/QeYmD25dBwp+TSY09RPHPRjDv2HKGrRrGweSDAMQQQ5+kPpTOU9rLyUVERM5PxSIREREREckWk+Z8QcAbI6h31MRtgdQHutK+/yt09wvOlvbdbpNhs7Yybu56Glq2Mdz3GzCBhv2hWo9s6UNERCSrupbpSqhPKM/5Pse2wuk8M8mEZSuZ2bk+79xpISHQIF9APvL45mFL/BaGrBjC6LajtZ6eiIjckFQsEhERERGRq+LMSOfnL/pT6btFBGRCaqgvpT/9grB6DbOtj7jNCzk45W3uS9nG837HPE+aQKkW0HJQtvUjIiJyOVoUa8HINiP5LPIzPsuzg0fGHaVUjMk7Y9wcvq8l7XoO5XDaUbpN7sbK2JVM2jGJ28ve7u3YIiIi51CxSERERERELpvpcpGyZAnH/57GkRl/UTvFAUBCpSLU+upH7PnyZUs/23dsJXHKq9RKmEUEwMmbsYMLQfEG0OFDsOpjjYiIeM8t+W/hu3bfQTtIvW0H+/s+Qt6D0eT9YjYxM3aT57FHudWnBTMyZ/Lhqg9pUqQJef3zeju2iIjIWfSpSkRERERELovpcHDgyadInjsXAD8gIRDo2pZ6L3+IYbuyjxkr9xzjgxlbiUvOINPp4o7MyfRz/kxZIwO3aTAvoDVFbn2EclVqg39Ytr0eERGR7BJQqgxlp0zh2I8/EjdqNJk7dxLz7HPcmz8fYc3zM6F4DO+veJ/3mr6n6ehEROSGomKRiIiIiIhkmel2E/3KqyTPnYvDZvBPVVhbJYBHe4+gbpH6V9zun/8e5Pnx68h0ufEjgw/sX9PZugwM2OVXGWebd7n1lqbZ+EpERESuDUtAAHn79iX8rrs49t0Y4saOxS/2MN1+hWYhMKn+X7xmsfFq/dcIsAd4O66IiAgAFm8HEBERERGRnGHbsW3MeuYuEqdMwWmBD283mNQ1Hy8++sMVF4pM0+TTOdt56pd/yXS5ubscRBX8gM7WZZiGjaRb36HUi4spp0KRiIjkMNbgYCKf7E+JmTM40q4d1ogI8ibCwzPdRHw1iXv/uofdCbu9HVNERATQyCIREREREbkA0+UiY8cO9h7azOQNv2Gu+JfOK0wAvupsJ6hZY76v9zJFg4teUftOp4tJo4dQ6sBixtjTKB1qUuTwXoz0BAjIi3HnOIJLNMrOlyQiInLdWUNCiG/RnHpvv0Xyr78S++Ew2keZwDbuSu7Jk7We4vYyt2uUkYiIeJWKRSIiIiIicg5HbCw7+z2EuXUnAJ3O2Hbkkdt45/FXCPEJueL2MzPSWT3ifronzQTriSeTT/y3YHXo+SOEXVkRSkRE5EZk8fUl4qGHsIaFcei112kfZWKYybzrfIcv/v2CnuV7ck/Fe8jrn9fbUUVE5CakYpGIiIiIiJyS6cpk4T9jCX7tM4ITHKTbIT4I7EEhROYpSv477qRizzuvqo/0xKPs+eIO6qevxWla2FupH6XLVQWfIPAPh2INwOaTTa9IRETkxhLWrRtgcOi112i32qTuLjgQFs/hsK8Yln80jfq+Tqcq3b0dU0REbjIqFomIiIiICAAbj27kmy/60md8PH4OOBBhsODpxtxz6zNUjKiYLX0c2rICc8IDVHAeINn0Z1eLz6nWvFu2tC0iIpJThHW7AywWDg0cSJ7jDvIcP7klk+OLXufX7n9x+4DP8fHV1HQiInJ9qFgkIiIiIiJsWj6N1e++xP82OwA4VrUolT/7gtYFylx120t2HGV+1FqqbxtBO+dcLIbJITOCw52/p3ptrUkkIiI3p7DbuxLUvBmZO3eSuf8Amfv2sn/iT4QdTiRs7DJWTmtE8ItPk6dZS8L9wgmwBWAYhrdji4hILqVikYiIiIjITSx9yxZ2f/wexrxl1AZMA4Lv7EGF117HsNuvqm3TNPn6n02kz/2Qp61T8TcywYDFfs0I6foB1SuUz54XISIikkPZwsOx1a5NQO3aAEQ++ijLvn4by3cTyHMkHZ57lzEN3+O3Jhb8fAKoHFGZapHVqB5ZnboF6hLkE+TlVyAiIrmFikUiIiIiIjeh9M2bOfrFFyTNmg2AG9hcI5yWA78kvFL1q27f6XLz7U8/0Wr7EMrYogE4nrcWvh2G0qhU/atuX0REJDcyfHxo0P9Ndna7kxUDn6TGokN0W2JSNtrNZ51TSd25Atf25bh2mYwv4kehIUNoU7q9RhyJiMhVU7FIRERERCSXM00Tx8GDZOzYQeaOHaSuiiJ53jzAUyRaWtHg347lGNprHCE+IZfdfsLGWRz9+x2sjmSSA4vjCC9NwuH99EuaChZI9clLQJcPCKt8O+hiloiIyCWVLlSF0qP+IWHKVA4NHEi1PWmM/Mx11j5F4tJZ+OJzPPPYDF5t8BqRAZFeSisiIrmBikUiIiIiIrlYbMwu9v3vEYK2HDjreTewpJLBxEYWytZowZDGb19+oShmPXGTXiYiZiGhJ5/L2ArHTu+yv0Q3ivYcBv7hV/MyREREbkqhnTvhW74cB598isw9e7CGhRHUogXWksU5+smnNNnoJnXULDoeWkKxkOKE+YUR7htOjXw16F6uO75WX2+/BBERySFULBIRERERyWUyXZlM3jmZOZum0OGTlZQ5ZOK0wIG8cDDCYH+kwYryFirXbsvHVR+mQp4KF27M7QKL9eznUuJwznoDy78/EIFJpmnlL98OBJVvjuXYTvwSduHrTia48f8o37DztX2xIiIiuZxfuXKUnPQHmbt24VuuHIbNcznPr3ARop97nrZrTNJ8U/i16RZcVs8I3ul7pjN241ieqPkEHUt2xPrff8tFRET+Q8UiEREREZFcJDYllgHzB7D9wFpe/cVFmUOQEmhj7cA7cJcsgt1ip7zVhwcKNaREaIkLN3R8H0zuD3uXQNk2ULUH7jKt2TX3OwqufI9AVyIAU1z12VVtAI90bYWfXReiRERErgWLnx9+lSqd9Vxox464k1OIeeMNui4zuW2FiaNAGMkFQ9lkxHDcOMDav19ie/gwCrXsSPW6naiQpwIWw+KlVyEiIjcyFYtERERERHKJ1bGrGTD3GQL3x/HaTCgbDUZoMFXGjqN2hYuMHjqTaeKIGgfTX8buTPE8t2UqbJmKy7RSxvCsl7DZXYwRAY/S4/buPFU+3zV6RSIiInIx4T3vxHQ5OfLRx7iTkvCJjiNPdByNz9rrMEz9jj35vmNC9QCsrZrSvcn/KJ+nvJdSi4jIjUjFIhERERGRHCgpM4l5++eR8P/27jw+qur+//j73pnJJJONhC3sAUtAILSKWmUppiCIBVtLK6BUKi32228f/qqt1K91Af22WhH197NVW9SCWgRFa0upyKYUEVFBXFhExIQlECD7MpnMdn9/hIyJZN8n83o+HqP3zj3n3M8djzdn7mfuuRVF8pSXyPb+J3Jv3abfHQ6oe0llGTMhQQP/+ldFNzJR5MnN0vG//UJfK9wuSdoVTNP/9c/UWHOfrrbtUH8jV6WK0dY+C5Ryxc360+CeMgyjjY4QAAA0RvJ11ylpzhz5T5+RNzNT3swv5M/Pl1VervKSIp38/EPF7Tms1NOWUje5pU2v64ter2vnhYM06uof6+sTfyC7jUuEABDp+EsAAAAAdFKWZcmXfUKB/DwFiooVLClWMBjQrqK9eunoWlWUFeubn1m65KCl2Iov6xnRTsV+81L1vOWXij7//IZ35HXLs/URmTv+n74mryosu5bZ5ygw9hda/I0BinaYCgQCOp73mXr2HaTp8T3a7qABAECTGYYhR+9ecvTupdhLv1lj2yBJ/oICFb6+Xjn/WCPj40+VelpKff2I9Pq9Wtf/f7X5mgGKGjlC6T3Sdc3XrlG36G4dchwAgI5DsggAAADohPz5+Tpxxx0q+8+2c7b1k3TrV94rT3KpYvwFGnX1PMVecolMp7PWdj2+gE4Ve9Q71lR07j7p6DsKvPOkokuyJUnva4Tckx/Qz8d+S3bbV55p0GNMKxwZAABob/akJPWYc516zLlO/oICHdnwqg7/+0X12nNUw44HNfSPR/Sf9KNae8FGvVv+mL5tH6kLbUOUcvlUxY4by53EABABSBYBAAAAnUzZe+/pxG0L5T99WpbNlDsxWgUOr4qcflmGoRifoT62ZCXa4xR32WVKuOoqxVx4oQyzMrljWZYO5pTo8JlSHTtTpJKcz2XlfqaYokz19B7VecYJpRiZkuGTJNkkHbd66I/2H+vHP/k/urhvYgcePQAAaEv2pCSdN3u+zps9X54T2Tr20APyr9+ijE8sZXwSkBSQtFs+7daxv63R0UEu7Z7+Neni0boidYou7HWhbKatow8DANDKSBYBAAAA7cAKBGTYvrywcrjwsN7Z/U8d/uAN+Y4dV5wRrXgjRj1LTY18+4RMSzreXXr0e4aO9fJKkmLs8Zo0cJJ+eeEvlRKbcs4+KirKtWPbZmV+sEkDSvdquJGtKcZp2Y3gl4WqXdvJs+L1QTBNO4Ij9HbidD3z029pQLKrzT4DAADQuUT37aehj/5J5fM+1OmlD6vi8GFV9ErUF7FlOuHL1dgDlgYecWvg4x/r0/4f65EJL+jU8F6aOvhKXT7gcn2j1zfktNV+NzMAILyQLAIAAADaUNmxLB298w7pvQ8ViLLLE2NTSVRQCUU+jfFKX07sViGpKLT2Zrqh566MUp8egzW3z6Wa0G+CxqSMOfeCTPFJFX34qgo/+Id6F+5RhrzKkGokhbxmjNzxqQomf03RKcMU02e4jscM046CRL2XVShfIKgXZoxQjzgu9gAAEIlivvENDfrb86H1dEm55bnKOXJA7mdXK3rdNg0/7tc9q4LaPyBHa8Y/p393f1693Q6NsQ3RKPtADY8aoER/lIJlZXIMHKC48eMVNXBgxx0UAKBJumyyqKSkRA8//LBeeeUVZWZmymazKS0tTbNnz9bNN9+sqKioZrd96tQpLVmyROvWrdPRo0cVExOjkSNHat68efrJT37S4Dyuhw8f1pIlS7Rx40adPHlS8fHxuvDCC3XTTTdp5syZzY4LAAAAHe9k6Um9lf2Wdp7cKdcbu/W9f55WbEXlNpvXr1ivX7FnywZshrwDein2vKHyO2zyGH55DL8CY0Zq6tg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      "text/plain": [
       "<Figure size 2000x800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# simulation parameters\n",
    "batch_size = int(1e6) # number of symbols to be analyzed\n",
    "num_bits_per_symbol = 4 # bits per modulated symbol, i.e., 2^4 = 16-QAM\n",
    "ebno_db = 4 # simulation SNR\n",
    "\n",
    "# init system components\n",
    "source = BinarySource() # generates random info bits\n",
    "\n",
    "# we use a simple AWGN channel\n",
    "channel = AWGN()\n",
    "\n",
    "# calculate noise var for given Eb/No (no code used at the moment)\n",
    "no = ebnodb2no(ebno_db, num_bits_per_symbol, coderate=1) \n",
    "\n",
    "# and generate bins for the histogram\n",
    "llr_bins = np.arange(-20,20,0.1)\n",
    "\n",
    "# initialize mapper and demapper for constellation object\n",
    "constellation = Constellation(\"qam\", num_bits_per_symbol=num_bits_per_symbol)\n",
    "mapper = Mapper(constellation=constellation)\n",
    "\n",
    "# APP demapper\n",
    "demapper = Demapper(\"app\", constellation=constellation)\n",
    "\n",
    "# Binary source that generates random 0s/1s\n",
    "b = source([batch_size, num_bits_per_symbol])\n",
    "\n",
    "# init mapper, channel and demapper\n",
    "x = mapper(b)\n",
    "y = channel(x, no)\n",
    "llr = demapper(y, no)\n",
    "\n",
    "# we flip the sign of all LLRs where b_i=0\n",
    "# this ensures that all positive LLRs mark correct decisions\n",
    "# all negative LLR values would lead to erroneous decisions\n",
    "llr_b = llr * (2. * b - 1.)\n",
    "\n",
    "# calculate LLR distribution for all bit-channels individually\n",
    "llr_dist = []\n",
    "for i in range(num_bits_per_symbol):\n",
    "    \n",
    "    llr_np = llr_b[:, i].reshape(-1).cpu().numpy()\n",
    "    t, _ = np.histogram(llr_np, bins=llr_bins, density=True);\n",
    "    llr_dist.append(t)\n",
    "\n",
    "# and plot the results\n",
    "plt.figure(figsize=(20,8))\n",
    "plt.xticks(fontsize=18)\n",
    "plt.yticks(fontsize=18)\n",
    "plt.grid(which=\"both\")\n",
    "plt.xlabel(\"LLR value\", fontsize=25)\n",
    "plt.ylabel(\"Probability density\", fontsize=25)\n",
    "for idx, llr_hist in enumerate(llr_dist):\n",
    "    leg_str = f\"Demapper output for bit_channel {idx} (sign corrected)\".format()\n",
    "    plt.plot(llr_bins[:-1], llr_hist, label=leg_str)\n",
    "plt.title(\"LLR distribution after demapping (16-QAM / AWGN)\", fontsize=25)\n",
    "plt.legend(fontsize=20);\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "This also shows up in the bit-wise BER without any forward-error correction (FEC). <a class=\"anchor\" id=\"ber_per_bit\"></a>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-02-14T00:13:33.656883Z",
     "iopub.status.busy": "2026-02-14T00:13:33.656733Z",
     "iopub.status.idle": "2026-02-14T00:13:33.673711Z",
     "shell.execute_reply": "2026-02-14T00:13:33.672756Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "BER per bit-channel:  [0.039255 0.039147 0.078007 0.078043]\n"
     ]
    }
   ],
   "source": [
    "# calculate bitwise BERs\n",
    "\n",
    "b_hat = hard_decisions(llr) # hard decide the LLRs\n",
    "\n",
    "# each bit where b != b_hat is defines a decision error\n",
    "# cast to float to allow mean operation\n",
    "errors = (b != b_hat).float()\n",
    "\n",
    "# calculate ber PER bit_channel\n",
    "# axis = 0 is the batch-dimension, i.e. contains individual estimates\n",
    "# axis = 1 contains the m individual bit channels\n",
    "ber_per_bit = torch.mean(errors, dim=0)\n",
    "\n",
    "print(\"BER per bit-channel: \", ber_per_bit.cpu().numpy())"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "So far, we have not applied any outer channel coding. However, from the previous histograms it is obvious that the quality of the received LLRs depends bit index within a symbol. Further, LLRs may become correlated and each symbol error may lead to multiple erroneous received bits (mapped to the same symbol). \n",
    "The principle idea of BICM is to *break* the local dependencies by adding an interleaver between channel coding and mapper (or demapper and decoder, respectively).\n",
    "\n",
    "For sufficiently long codes (and well-suited interleavers), the channel decoder effectively *sees* one channel.\n",
    "This separation enables the - from engineering's perspective - simplified and elegant design of channel coding schemes based on binary bit-metric decoding while following Massey's original spirit that *the real goal of the modulation system is to create the \u201cbest\u201d discrete memoryless channel (DMC) as seen by the coding system\"* [1].\n",
    "\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Simple BER Simulations\n",
    "\n",
    "We are now interested to simulate the BER of the BICM system including LDPC codes.\n",
    "For this, we use the class `PlotBER` which essentially provides convenience functions for BER simulations.\n",
    "It internally calls `sim_ber()` to simulate each SNR point until reaching a pre-defined target number of errors.\n",
    "\n",
    "**Note**: a custom BER simulation is always possible. However, without early stopping the simulations can take significantly more simulation time and `PlotBER` directly stores the results internally for later comparison."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-02-14T00:13:33.675992Z",
     "iopub.status.busy": "2026-02-14T00:13:33.675852Z",
     "iopub.status.idle": "2026-02-14T00:13:33.712449Z",
     "shell.execute_reply": "2026-02-14T00:13:33.711685Z"
    }
   },
   "outputs": [],
   "source": [
    "# generate new figure\n",
    "ber_plot_allzero = PlotBER(\"BER Performance of All-zero Codeword Simulations\")\n",
    "\n",
    "# and define baseline\n",
    "num_bits_per_symbol = 2 # QPSK\n",
    "num_bp_iter = 20 # number of decoder iterations\n",
    "\n",
    "# LDPC code parameters\n",
    "k = 600 # number of information bits per codeword\n",
    "n = 1200 # number of codeword bits\n",
    "\n",
    "# and the initialize the LDPC encoder / decoder\n",
    "encoder = LDPC5GEncoder(k, n)\n",
    "decoder = LDPC5GDecoder(encoder, # connect encoder (for shared code parameters)\n",
    "                        cn_update=\"boxplus-phi\", # use the exact boxplus function\n",
    "                        num_iter=num_bp_iter) \n",
    "\n",
    "# initialize a random interleaver and corresponding deinterleaver\n",
    "interleaver = RandomInterleaver()\n",
    "deinterleaver = Deinterleaver(interleaver)\n",
    "\n",
    "# mapper and demapper\n",
    "constellation = Constellation(\"qam\", num_bits_per_symbol=num_bits_per_symbol)\n",
    "mapper = Mapper(constellation=constellation)\n",
    "demapper = Demapper(\"app\", constellation=constellation) # APP demapper\n",
    "\n",
    "# define system \n",
    "def run_ber(batch_size, ebno_db):\n",
    "    # calculate noise variance\n",
    "    no = ebnodb2no(ebno_db,\n",
    "                   num_bits_per_symbol=num_bits_per_symbol,\n",
    "                   coderate=k/n)    \n",
    "    u = source([batch_size, k]) # generate random bit sequence to transmit\n",
    "    c = encoder(u) # LDPC encode (incl. rate-matching and CRC concatenation)\n",
    "    c_int = interleaver(c)\n",
    "    x = mapper(c_int) # map to symbol (QPSK)\n",
    "    y = channel(x, no) # transmit over AWGN channel\n",
    "    llr_ch = demapper(y, no) # demapp\n",
    "    llr_deint = deinterleaver(llr_ch)\n",
    "    u_hat = decoder(llr_deint) # run LDPC decoder (incl. de-rate-matching)\n",
    "\n",
    "    return u, u_hat"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We simulate the BER at each SNR point in `ebno_db` for a given `batch_size` of samples.\n",
    "In total, per SNR point `max_mc_iter` batches are simulated.\n",
    "\n",
    "To improve the simulation throughput, several optimizations are available:\n",
    "\n",
    "1. ) Continue with next SNR point if `num_target_bit_errors` is reached (or `num_target_block_errors`).\n",
    "2. ) Stop simulation if current SNR point returned no error (usually the BER is monotonic w.r.t. the SNR, i.e., a higher SNR point will also return BER=0)\n",
    "\n",
    "**Note**: by setting `forward_keyboard_interrupt`=False, the simulation can be interrupted at any time and returns the intermediate results."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-02-14T00:13:33.714596Z",
     "iopub.status.busy": "2026-02-14T00:13:33.714469Z",
     "iopub.status.idle": "2026-02-14T00:13:59.031183Z",
     "shell.execute_reply": "2026-02-14T00:13:59.030333Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "EbNo [dB] |        BER |       BLER |  bit errors |    num bits | block errors |  num blocks | runtime [s] |    status\n",
      "---------------------------------------------------------------------------------------------------------------------------------------\n",
      "      0.0 | 1.6457e-01 | 9.9800e-01 |       98740 |      600000 |          998 |        1000 |         0.1 |iter: 0/100\r",
      "      0.0 | 1.6457e-01 | 9.9800e-01 |       98740 |      600000 |          998 |        1000 |         0.1 |reached target bit errors\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     0.25 | 1.3967e-01 | 9.9300e-01 |       83801 |      600000 |          993 |        1000 |         0.1 |iter: 0/100\r",
      "     0.25 | 1.3967e-01 | 9.9300e-01 |       83801 |      600000 |          993 |        1000 |         0.1 |reached target bit errors\n",
      "      0.5 | 1.0598e-01 | 9.3200e-01 |       63589 |      600000 |          932 |        1000 |         0.1 |iter: 0/100\r",
      "      0.5 | 1.0598e-01 | 9.3200e-01 |       63589 |      600000 |          932 |        1000 |         0.1 |reached target bit errors\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     0.75 | 6.6118e-02 | 7.6000e-01 |       39671 |      600000 |          760 |        1000 |         0.1 |iter: 0/100\r",
      "     0.75 | 6.6118e-02 | 7.6000e-01 |       39671 |      600000 |          760 |        1000 |         0.1 |reached target bit errors\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "      1.0 | 3.3803e-02 | 4.7500e-01 |       20282 |      600000 |          475 |        1000 |         0.1 |iter: 0/100\r",
      "      1.0 | 3.3803e-02 | 4.7500e-01 |       20282 |      600000 |          475 |        1000 |         0.1 |reached target bit errors\n",
      "     1.25 | 1.0538e-02 | 1.9400e-01 |        6323 |      600000 |          194 |        1000 |         0.1 |iter: 0/100\r",
      "     1.25 | 1.0538e-02 | 1.9400e-01 |        6323 |      600000 |          194 |        1000 |         0.1 |reached target bit errors\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "      1.5 | 2.4367e-03 | 6.8000e-02 |        1462 |      600000 |           68 |        1000 |         0.1 |iter: 0/100\r",
      "      1.5 | 2.4367e-03 | 6.8000e-02 |        1462 |      600000 |           68 |        1000 |         0.1 |reached target bit errors\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     1.75 | 5.1000e-04 | 1.3000e-02 |         306 |      600000 |           13 |        1000 |         0.1 |iter: 0/100\r",
      "     1.75 | 4.6750e-04 | 1.4000e-02 |         561 |     1200000 |           28 |        2000 |         0.1 |iter: 1/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     1.75 | 4.9556e-04 | 1.2667e-02 |         892 |     1800000 |           38 |        3000 |         0.2 |iter: 2/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     1.75 | 4.4667e-04 | 1.1000e-02 |        1072 |     2400000 |           44 |        4000 |         0.3 |iter: 3/100\r",
      "     1.75 | 4.4667e-04 | 1.1000e-02 |        1072 |     2400000 |           44 |        4000 |         0.3 |reached target bit errors\n",
      "      2.0 | 0.0000e+00 | 0.0000e+00 |           0 |      600000 |            0 |        1000 |         0.1 |iter: 0/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "      2.0 | 8.3333e-06 | 5.0000e-04 |          10 |     1200000 |            1 |        2000 |         0.1 |iter: 1/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "      2.0 | 5.5556e-06 | 3.3333e-04 |          10 |     1800000 |            1 |        3000 |         0.2 |iter: 2/100\r",
      "      2.0 | 7.5000e-06 | 5.0000e-04 |          18 |     2400000 |            2 |        4000 |         0.3 |iter: 3/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "      2.0 | 1.0667e-05 | 8.0000e-04 |          32 |     3000000 |            4 |        5000 |         0.4 |iter: 4/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "      2.0 | 1.1944e-05 | 1.0000e-03 |          43 |     3600000 |            6 |        6000 |         0.4 |iter: 5/100\r",
      "      2.0 | 1.7619e-05 | 1.2857e-03 |          74 |     4200000 |            9 |        7000 |         0.5 |iter: 6/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "      2.0 | 2.2917e-05 | 1.6250e-03 |         110 |     4800000 |           13 |        8000 |         0.6 |iter: 7/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "      2.0 | 2.5926e-05 | 1.5556e-03 |         140 |     5400000 |           14 |        9000 |         0.6 |iter: 8/100\r",
      "      2.0 | 4.0167e-05 | 1.7000e-03 |         241 |     6000000 |           17 |       10000 |         0.7 |iter: 9/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "      2.0 | 3.7879e-05 | 1.6364e-03 |         250 |     6600000 |           18 |       11000 |         0.8 |iter: 10/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "      2.0 | 5.1667e-05 | 1.7500e-03 |         372 |     7200000 |           21 |       12000 |         0.9 |iter: 11/100\r",
      "      2.0 | 4.8590e-05 | 1.7692e-03 |         379 |     7800000 |           23 |       13000 |         0.9 |iter: 12/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "      2.0 | 4.5119e-05 | 1.6429e-03 |         379 |     8400000 |           23 |       14000 |         1.0 |iter: 13/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "      2.0 | 4.3778e-05 | 1.8000e-03 |         394 |     9000000 |           27 |       15000 |         1.1 |iter: 14/100\r",
      "      2.0 | 4.1875e-05 | 1.8750e-03 |         402 |     9600000 |           30 |       16000 |         1.2 |iter: 15/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "      2.0 | 4.0588e-05 | 1.8824e-03 |         414 |    10200000 |           32 |       17000 |         1.2 |iter: 16/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "      2.0 | 3.8981e-05 | 1.8333e-03 |         421 |    10800000 |           33 |       18000 |         1.3 |iter: 17/100\r",
      "      2.0 | 3.7193e-05 | 1.8947e-03 |         424 |    11400000 |           36 |       19000 |         1.4 |iter: 18/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "      2.0 | 4.6583e-05 | 1.8500e-03 |         559 |    12000000 |           37 |       20000 |         1.4 |iter: 19/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "      2.0 | 5.0397e-05 | 1.8571e-03 |         635 |    12600000 |           39 |       21000 |         1.5 |iter: 20/100\r",
      "      2.0 | 5.4015e-05 | 2.0000e-03 |         713 |    13200000 |           44 |       22000 |         1.6 |iter: 21/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "      2.0 | 5.2681e-05 | 2.0435e-03 |         727 |    13800000 |           47 |       23000 |         1.7 |iter: 22/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "      2.0 | 5.3403e-05 | 2.0417e-03 |         769 |    14400000 |           49 |       24000 |         1.7 |iter: 23/100\r",
      "      2.0 | 5.4667e-05 | 2.0400e-03 |         820 |    15000000 |           51 |       25000 |         1.8 |iter: 24/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "      2.0 | 5.8205e-05 | 2.0000e-03 |         908 |    15600000 |           52 |       26000 |         1.9 |iter: 25/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "      2.0 | 5.7284e-05 | 2.0370e-03 |         928 |    16200000 |           55 |       27000 |         1.9 |iter: 26/100\r",
      "      2.0 | 5.6071e-05 | 2.0000e-03 |         942 |    16800000 |           56 |       28000 |         2.0 |iter: 27/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "      2.0 | 5.4253e-05 | 1.9655e-03 |         944 |    17400000 |           57 |       29000 |         2.1 |iter: 28/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "      2.0 | 5.2444e-05 | 1.9000e-03 |         944 |    18000000 |           57 |       30000 |         2.2 |iter: 29/100\r",
      "      2.0 | 5.1129e-05 | 1.9032e-03 |         951 |    18600000 |           59 |       31000 |         2.2 |iter: 30/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "      2.0 | 4.9531e-05 | 1.8437e-03 |         951 |    19200000 |           59 |       32000 |         2.3 |iter: 31/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "      2.0 | 4.8788e-05 | 1.8485e-03 |         966 |    19800000 |           61 |       33000 |         2.4 |iter: 32/100\r",
      "      2.0 | 4.7451e-05 | 1.8235e-03 |         968 |    20400000 |           62 |       34000 |         2.4 |iter: 33/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "      2.0 | 5.1143e-05 | 1.9714e-03 |        1074 |    21000000 |           69 |       35000 |         2.5 |iter: 34/100\r",
      "      2.0 | 5.1143e-05 | 1.9714e-03 |        1074 |    21000000 |           69 |       35000 |         2.5 |reached target bit errors\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     2.25 | 3.3333e-06 | 1.0000e-03 |           2 |      600000 |            1 |        1000 |         0.1 |iter: 0/100\r",
      "     2.25 | 1.6667e-06 | 5.0000e-04 |           2 |     1200000 |            1 |        2000 |         0.1 |iter: 1/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     2.25 | 9.4444e-06 | 6.6667e-04 |          17 |     1800000 |            2 |        3000 |         0.2 |iter: 2/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     2.25 | 8.7500e-06 | 7.5000e-04 |          21 |     2400000 |            3 |        4000 |         0.3 |iter: 3/100\r",
      "     2.25 | 7.0000e-06 | 6.0000e-04 |          21 |     3000000 |            3 |        5000 |         0.4 |iter: 4/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     2.25 | 5.8333e-06 | 5.0000e-04 |          21 |     3600000 |            3 |        6000 |         0.4 |iter: 5/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     2.25 | 5.0000e-06 | 4.2857e-04 |          21 |     4200000 |            3 |        7000 |         0.5 |iter: 6/100\r",
      "     2.25 | 6.4583e-06 | 5.0000e-04 |          31 |     4800000 |            4 |        8000 |         0.6 |iter: 7/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     2.25 | 5.7407e-06 | 4.4444e-04 |          31 |     5400000 |            4 |        9000 |         0.6 |iter: 8/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     2.25 | 5.1667e-06 | 4.0000e-04 |          31 |     6000000 |            4 |       10000 |         0.7 |iter: 9/100\r",
      "     2.25 | 4.8485e-06 | 4.5455e-04 |          32 |     6600000 |            5 |       11000 |         0.8 |iter: 10/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     2.25 | 4.4444e-06 | 4.1667e-04 |          32 |     7200000 |            5 |       12000 |         0.9 |iter: 11/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     2.25 | 4.1026e-06 | 3.8462e-04 |          32 |     7800000 |            5 |       13000 |         0.9 |iter: 12/100\r",
      "     2.25 | 3.8095e-06 | 3.5714e-04 |          32 |     8400000 |            5 |       14000 |         1.0 |iter: 13/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     2.25 | 3.5556e-06 | 3.3333e-04 |          32 |     9000000 |            5 |       15000 |         1.1 |iter: 14/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     2.25 | 3.3333e-06 | 3.1250e-04 |          32 |     9600000 |            5 |       16000 |         1.2 |iter: 15/100\r",
      "     2.25 | 3.1373e-06 | 2.9412e-04 |          32 |    10200000 |            5 |       17000 |         1.2 |iter: 16/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     2.25 | 3.3333e-06 | 3.3333e-04 |          36 |    10800000 |            6 |       18000 |         1.3 |iter: 17/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     2.25 | 3.4211e-06 | 3.6842e-04 |          39 |    11400000 |            7 |       19000 |         1.4 |iter: 18/100\r",
      "     2.25 | 3.2500e-06 | 3.5000e-04 |          39 |    12000000 |            7 |       20000 |         1.4 |iter: 19/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     2.25 | 3.0952e-06 | 3.3333e-04 |          39 |    12600000 |            7 |       21000 |         1.5 |iter: 20/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     2.25 | 7.0455e-06 | 4.0909e-04 |          93 |    13200000 |            9 |       22000 |         1.6 |iter: 21/100\r",
      "     2.25 | 6.7391e-06 | 3.9130e-04 |          93 |    13800000 |            9 |       23000 |         1.7 |iter: 22/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     2.25 | 6.4583e-06 | 3.7500e-04 |          93 |    14400000 |            9 |       24000 |         1.7 |iter: 23/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     2.25 | 6.2000e-06 | 3.6000e-04 |          93 |    15000000 |            9 |       25000 |         1.8 |iter: 24/100\r",
      "     2.25 | 5.9615e-06 | 3.4615e-04 |          93 |    15600000 |            9 |       26000 |         1.9 |iter: 25/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     2.25 | 5.7407e-06 | 3.3333e-04 |          93 |    16200000 |            9 |       27000 |         1.9 |iter: 26/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     2.25 | 5.5357e-06 | 3.2143e-04 |          93 |    16800000 |            9 |       28000 |         2.0 |iter: 27/100\r",
      "     2.25 | 5.3448e-06 | 3.1034e-04 |          93 |    17400000 |            9 |       29000 |         2.1 |iter: 28/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     2.25 | 5.1667e-06 | 3.0000e-04 |          93 |    18000000 |            9 |       30000 |         2.2 |iter: 29/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     2.25 | 5.0000e-06 | 2.9032e-04 |          93 |    18600000 |            9 |       31000 |         2.2 |iter: 30/100\r",
      "     2.25 | 4.8437e-06 | 2.8125e-04 |          93 |    19200000 |            9 |       32000 |         2.3 |iter: 31/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     2.25 | 4.6970e-06 | 2.7273e-04 |          93 |    19800000 |            9 |       33000 |         2.4 |iter: 32/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     2.25 | 4.5588e-06 | 2.6471e-04 |          93 |    20400000 |            9 |       34000 |         2.4 |iter: 33/100\r",
      "     2.25 | 4.4286e-06 | 2.5714e-04 |          93 |    21000000 |            9 |       35000 |         2.5 |iter: 34/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     2.25 | 4.9537e-06 | 2.7778e-04 |         107 |    21600000 |           10 |       36000 |         2.6 |iter: 35/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     2.25 | 4.8198e-06 | 2.7027e-04 |         107 |    22200000 |           10 |       37000 |         2.7 |iter: 36/100\r",
      "     2.25 | 4.6930e-06 | 2.6316e-04 |         107 |    22800000 |           10 |       38000 |         2.7 |iter: 37/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     2.25 | 4.8718e-06 | 3.0769e-04 |         114 |    23400000 |           12 |       39000 |         2.8 |iter: 38/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     2.25 | 4.7500e-06 | 3.0000e-04 |         114 |    24000000 |           12 |       40000 |         2.9 |iter: 39/100\r",
      "     2.25 | 5.6911e-06 | 3.1707e-04 |         140 |    24600000 |           13 |       41000 |         3.0 |iter: 40/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     2.25 | 5.5556e-06 | 3.0952e-04 |         140 |    25200000 |           13 |       42000 |         3.0 |iter: 41/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     2.25 | 5.6977e-06 | 3.2558e-04 |         147 |    25800000 |           14 |       43000 |         3.1 |iter: 42/100\r",
      "     2.25 | 5.5682e-06 | 3.1818e-04 |         147 |    26400000 |           14 |       44000 |         3.2 |iter: 43/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     2.25 | 5.4444e-06 | 3.1111e-04 |         147 |    27000000 |           14 |       45000 |         3.2 |iter: 44/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     2.25 | 5.3261e-06 | 3.0435e-04 |         147 |    27600000 |           14 |       46000 |         3.3 |iter: 45/100\r",
      "     2.25 | 5.2128e-06 | 2.9787e-04 |         147 |    28200000 |           14 |       47000 |         3.4 |iter: 46/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     2.25 | 5.1042e-06 | 2.9167e-04 |         147 |    28800000 |           14 |       48000 |         3.5 |iter: 47/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     2.25 | 5.0000e-06 | 2.8571e-04 |         147 |    29400000 |           14 |       49000 |         3.5 |iter: 48/100\r",
      "     2.25 | 4.9000e-06 | 2.8000e-04 |         147 |    30000000 |           14 |       50000 |         3.6 |iter: 49/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     2.25 | 4.8039e-06 | 2.7451e-04 |         147 |    30600000 |           14 |       51000 |         3.7 |iter: 50/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     2.25 | 4.7115e-06 | 2.6923e-04 |         147 |    31200000 |           14 |       52000 |         3.7 |iter: 51/100\r",
      "     2.25 | 4.8742e-06 | 2.8302e-04 |         155 |    31800000 |           15 |       53000 |         3.8 |iter: 52/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     2.25 | 4.8148e-06 | 2.9630e-04 |         156 |    32400000 |           16 |       54000 |         3.9 |iter: 53/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     2.25 | 4.7273e-06 | 2.9091e-04 |         156 |    33000000 |           16 |       55000 |         4.0 |iter: 54/100\r",
      "     2.25 | 4.6429e-06 | 2.8571e-04 |         156 |    33600000 |           16 |       56000 |         4.0 |iter: 55/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     2.25 | 4.5614e-06 | 2.8070e-04 |         156 |    34200000 |           16 |       57000 |         4.1 |iter: 56/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     2.25 | 4.4828e-06 | 2.7586e-04 |         156 |    34800000 |           16 |       58000 |         4.2 |iter: 57/100\r",
      "     2.25 | 5.0000e-06 | 2.8814e-04 |         177 |    35400000 |           17 |       59000 |         4.2 |iter: 58/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     2.25 | 4.9167e-06 | 2.8333e-04 |         177 |    36000000 |           17 |       60000 |         4.3 |iter: 59/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     2.25 | 4.8361e-06 | 2.7869e-04 |         177 |    36600000 |           17 |       61000 |         4.4 |iter: 60/100\r",
      "     2.25 | 4.7849e-06 | 2.9032e-04 |         178 |    37200000 |           18 |       62000 |         4.5 |iter: 61/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     2.25 | 4.7090e-06 | 2.8571e-04 |         178 |    37800000 |           18 |       63000 |         4.5 |iter: 62/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     2.25 | 4.6354e-06 | 2.8125e-04 |         178 |    38400000 |           18 |       64000 |         4.6 |iter: 63/100\r",
      "     2.25 | 4.5641e-06 | 2.7692e-04 |         178 |    39000000 |           18 |       65000 |         4.7 |iter: 64/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     2.25 | 4.4949e-06 | 2.7273e-04 |         178 |    39600000 |           18 |       66000 |         4.8 |iter: 65/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     2.25 | 4.4279e-06 | 2.6866e-04 |         178 |    40200000 |           18 |       67000 |         4.8 |iter: 66/100\r",
      "     2.25 | 4.3627e-06 | 2.6471e-04 |         178 |    40800000 |           18 |       68000 |         4.9 |iter: 67/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     2.25 | 4.3478e-06 | 2.7536e-04 |         180 |    41400000 |           19 |       69000 |         5.0 |iter: 68/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     2.25 | 4.2857e-06 | 2.7143e-04 |         180 |    42000000 |           19 |       70000 |         5.0 |iter: 69/100\r",
      "     2.25 | 4.2254e-06 | 2.6761e-04 |         180 |    42600000 |           19 |       71000 |         5.1 |iter: 70/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     2.25 | 4.4444e-06 | 2.7778e-04 |         192 |    43200000 |           20 |       72000 |         5.2 |iter: 71/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     2.25 | 4.3836e-06 | 2.7397e-04 |         192 |    43800000 |           20 |       73000 |         5.3 |iter: 72/100\r",
      "     2.25 | 4.5495e-06 | 2.8378e-04 |         202 |    44400000 |           21 |       74000 |         5.3 |iter: 73/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     2.25 | 4.4889e-06 | 2.8000e-04 |         202 |    45000000 |           21 |       75000 |         5.4 |iter: 74/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     2.25 | 4.4298e-06 | 2.7632e-04 |         202 |    45600000 |           21 |       76000 |         5.5 |iter: 75/100\r",
      "     2.25 | 4.3723e-06 | 2.7273e-04 |         202 |    46200000 |           21 |       77000 |         5.5 |iter: 76/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     2.25 | 4.3162e-06 | 2.6923e-04 |         202 |    46800000 |           21 |       78000 |         5.6 |iter: 77/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     2.25 | 4.2616e-06 | 2.6582e-04 |         202 |    47400000 |           21 |       79000 |         5.7 |iter: 78/100\r",
      "     2.25 | 4.2083e-06 | 2.6250e-04 |         202 |    48000000 |           21 |       80000 |         5.8 |iter: 79/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     2.25 | 4.1564e-06 | 2.5926e-04 |         202 |    48600000 |           21 |       81000 |         5.8 |iter: 80/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     2.25 | 4.1057e-06 | 2.5610e-04 |         202 |    49200000 |           21 |       82000 |         5.9 |iter: 81/100\r",
      "     2.25 | 4.0562e-06 | 2.5301e-04 |         202 |    49800000 |           21 |       83000 |         6.0 |iter: 82/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     2.25 | 4.1865e-06 | 2.6190e-04 |         211 |    50400000 |           22 |       84000 |         6.0 |iter: 83/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     2.25 | 5.3725e-06 | 2.8235e-04 |         274 |    51000000 |           24 |       85000 |         6.1 |iter: 84/100\r",
      "     2.25 | 5.3101e-06 | 2.7907e-04 |         274 |    51600000 |           24 |       86000 |         6.2 |iter: 85/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     2.25 | 5.2874e-06 | 2.8736e-04 |         276 |    52200000 |           25 |       87000 |         6.3 |iter: 86/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     2.25 | 5.2273e-06 | 2.8409e-04 |         276 |    52800000 |           25 |       88000 |         6.3 |iter: 87/100\r",
      "     2.25 | 5.1685e-06 | 2.8090e-04 |         276 |    53400000 |           25 |       89000 |         6.4 |iter: 88/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     2.25 | 5.1111e-06 | 2.7778e-04 |         276 |    54000000 |           25 |       90000 |         6.5 |iter: 89/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     2.25 | 5.0733e-06 | 2.8571e-04 |         277 |    54600000 |           26 |       91000 |         6.6 |iter: 90/100\r",
      "     2.25 | 5.0181e-06 | 2.8261e-04 |         277 |    55200000 |           26 |       92000 |         6.6 |iter: 91/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     2.25 | 5.2688e-06 | 3.0108e-04 |         294 |    55800000 |           28 |       93000 |         6.7 |iter: 92/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     2.25 | 5.2128e-06 | 2.9787e-04 |         294 |    56400000 |           28 |       94000 |         6.8 |iter: 93/100\r",
      "     2.25 | 5.1754e-06 | 3.0526e-04 |         295 |    57000000 |           29 |       95000 |         6.8 |iter: 94/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     2.25 | 5.2431e-06 | 3.1250e-04 |         302 |    57600000 |           30 |       96000 |         6.9 |iter: 95/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     2.25 | 5.3608e-06 | 3.1959e-04 |         312 |    58200000 |           31 |       97000 |         7.0 |iter: 96/100\r",
      "     2.25 | 5.3061e-06 | 3.1633e-04 |         312 |    58800000 |           31 |       98000 |         7.1 |iter: 97/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     2.25 | 5.2525e-06 | 3.1313e-04 |         312 |    59400000 |           31 |       99000 |         7.1 |iter: 98/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     2.25 | 6.0167e-06 | 3.2000e-04 |         361 |    60000000 |           32 |      100000 |         7.2 |iter: 99/100\r",
      "     2.25 | 6.0167e-06 | 3.2000e-04 |         361 |    60000000 |           32 |      100000 |         7.2 |reached max iterations\n",
      "      2.5 | 0.0000e+00 | 0.0000e+00 |           0 |      600000 |            0 |        1000 |         0.1 |iter: 0/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "      2.5 | 0.0000e+00 | 0.0000e+00 |           0 |     1200000 |            0 |        2000 |         0.1 |iter: 1/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "      2.5 | 0.0000e+00 | 0.0000e+00 |           0 |     1800000 |            0 |        3000 |         0.2 |iter: 2/100\r",
      "      2.5 | 0.0000e+00 | 0.0000e+00 |           0 |     2400000 |            0 |        4000 |         0.3 |iter: 3/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "      2.5 | 3.6667e-06 | 2.0000e-04 |          11 |     3000000 |            1 |        5000 |         0.4 |iter: 4/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "      2.5 | 3.0556e-06 | 1.6667e-04 |          11 |     3600000 |            1 |        6000 |         0.4 |iter: 5/100\r",
      "      2.5 | 2.6190e-06 | 1.4286e-04 |          11 |     4200000 |            1 |        7000 |         0.5 |iter: 6/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "      2.5 | 2.2917e-06 | 1.2500e-04 |          11 |     4800000 |            1 |        8000 |         0.6 |iter: 7/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "      2.5 | 2.0370e-06 | 1.1111e-04 |          11 |     5400000 |            1 |        9000 |         0.6 |iter: 8/100\r",
      "      2.5 | 1.8333e-06 | 1.0000e-04 |          11 |     6000000 |            1 |       10000 |         0.7 |iter: 9/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "      2.5 | 1.6667e-06 | 9.0909e-05 |          11 |     6600000 |            1 |       11000 |         0.8 |iter: 10/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "      2.5 | 1.5278e-06 | 8.3333e-05 |          11 |     7200000 |            1 |       12000 |         0.9 |iter: 11/100\r",
      "      2.5 | 1.4103e-06 | 7.6923e-05 |          11 |     7800000 |            1 |       13000 |         0.9 |iter: 12/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "      2.5 | 1.3095e-06 | 7.1429e-05 |          11 |     8400000 |            1 |       14000 |         1.0 |iter: 13/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "      2.5 | 1.2222e-06 | 6.6667e-05 |          11 |     9000000 |            1 |       15000 |         1.1 |iter: 14/100\r",
      "      2.5 | 1.1458e-06 | 6.2500e-05 |          11 |     9600000 |            1 |       16000 |         1.2 |iter: 15/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "      2.5 | 1.0784e-06 | 5.8824e-05 |          11 |    10200000 |            1 |       17000 |         1.2 |iter: 16/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "      2.5 | 1.0185e-06 | 5.5556e-05 |          11 |    10800000 |            1 |       18000 |         1.3 |iter: 17/100\r",
      "      2.5 | 9.6491e-07 | 5.2632e-05 |          11 |    11400000 |            1 |       19000 |         1.4 |iter: 18/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "      2.5 | 9.1667e-07 | 5.0000e-05 |          11 |    12000000 |            1 |       20000 |         1.4 |iter: 19/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "      2.5 | 8.7302e-07 | 4.7619e-05 |          11 |    12600000 |            1 |       21000 |         1.5 |iter: 20/100\r",
      "      2.5 | 8.3333e-07 | 4.5455e-05 |          11 |    13200000 |            1 |       22000 |         1.6 |iter: 21/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "      2.5 | 7.9710e-07 | 4.3478e-05 |          11 |    13800000 |            1 |       23000 |         1.7 |iter: 22/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "      2.5 | 7.6389e-07 | 4.1667e-05 |          11 |    14400000 |            1 |       24000 |         1.7 |iter: 23/100\r",
      "      2.5 | 7.3333e-07 | 4.0000e-05 |          11 |    15000000 |            1 |       25000 |         1.8 |iter: 24/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "      2.5 | 7.0513e-07 | 3.8462e-05 |          11 |    15600000 |            1 |       26000 |         1.9 |iter: 25/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "      2.5 | 6.7901e-07 | 3.7037e-05 |          11 |    16200000 |            1 |       27000 |         1.9 |iter: 26/100\r",
      "      2.5 | 6.5476e-07 | 3.5714e-05 |          11 |    16800000 |            1 |       28000 |         2.0 |iter: 27/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "      2.5 | 6.3218e-07 | 3.4483e-05 |          11 |    17400000 |            1 |       29000 |         2.1 |iter: 28/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "      2.5 | 6.1111e-07 | 3.3333e-05 |          11 |    18000000 |            1 |       30000 |         2.2 |iter: 29/100\r",
      "      2.5 | 5.9140e-07 | 3.2258e-05 |          11 |    18600000 |            1 |       31000 |         2.2 |iter: 30/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "      2.5 | 5.7292e-07 | 3.1250e-05 |          11 |    19200000 |            1 |       32000 |         2.3 |iter: 31/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "      2.5 | 5.5556e-07 | 3.0303e-05 |          11 |    19800000 |            1 |       33000 |         2.4 |iter: 32/100\r",
      "      2.5 | 5.3922e-07 | 2.9412e-05 |          11 |    20400000 |            1 |       34000 |         2.4 |iter: 33/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "      2.5 | 5.2381e-07 | 2.8571e-05 |          11 |    21000000 |            1 |       35000 |         2.5 |iter: 34/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "      2.5 | 5.0926e-07 | 2.7778e-05 |          11 |    21600000 |            1 |       36000 |         2.6 |iter: 35/100\r",
      "      2.5 | 4.9550e-07 | 2.7027e-05 |          11 |    22200000 |            1 |       37000 |         2.7 |iter: 36/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "      2.5 | 4.8246e-07 | 2.6316e-05 |          11 |    22800000 |            1 |       38000 |         2.7 |iter: 37/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "      2.5 | 4.7009e-07 | 2.5641e-05 |          11 |    23400000 |            1 |       39000 |         2.8 |iter: 38/100\r",
      "      2.5 | 4.5833e-07 | 2.5000e-05 |          11 |    24000000 |            1 |       40000 |         2.9 |iter: 39/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "      2.5 | 4.4715e-07 | 2.4390e-05 |          11 |    24600000 |            1 |       41000 |         3.0 |iter: 40/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "      2.5 | 4.3651e-07 | 2.3810e-05 |          11 |    25200000 |            1 |       42000 |         3.0 |iter: 41/100\r",
      "      2.5 | 4.2636e-07 | 2.3256e-05 |          11 |    25800000 |            1 |       43000 |         3.1 |iter: 42/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "      2.5 | 4.1667e-07 | 2.2727e-05 |          11 |    26400000 |            1 |       44000 |         3.2 |iter: 43/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "      2.5 | 4.0741e-07 | 2.2222e-05 |          11 |    27000000 |            1 |       45000 |         3.2 |iter: 44/100\r",
      "      2.5 | 3.9855e-07 | 2.1739e-05 |          11 |    27600000 |            1 |       46000 |         3.3 |iter: 45/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "      2.5 | 3.9007e-07 | 2.1277e-05 |          11 |    28200000 |            1 |       47000 |         3.4 |iter: 46/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "      2.5 | 3.8194e-07 | 2.0833e-05 |          11 |    28800000 |            1 |       48000 |         3.5 |iter: 47/100\r",
      "      2.5 | 3.7415e-07 | 2.0408e-05 |          11 |    29400000 |            1 |       49000 |         3.5 |iter: 48/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "      2.5 | 3.6667e-07 | 2.0000e-05 |          11 |    30000000 |            1 |       50000 |         3.6 |iter: 49/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "      2.5 | 3.5948e-07 | 1.9608e-05 |          11 |    30600000 |            1 |       51000 |         3.7 |iter: 50/100\r",
      "      2.5 | 3.5256e-07 | 1.9231e-05 |          11 |    31200000 |            1 |       52000 |         3.7 |iter: 51/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "      2.5 | 3.4591e-07 | 1.8868e-05 |          11 |    31800000 |            1 |       53000 |         3.8 |iter: 52/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "      2.5 | 3.3951e-07 | 1.8519e-05 |          11 |    32400000 |            1 |       54000 |         3.9 |iter: 53/100\r",
      "      2.5 | 3.3333e-07 | 1.8182e-05 |          11 |    33000000 |            1 |       55000 |         4.0 |iter: 54/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "      2.5 | 3.2738e-07 | 1.7857e-05 |          11 |    33600000 |            1 |       56000 |         4.0 |iter: 55/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "      2.5 | 3.2164e-07 | 1.7544e-05 |          11 |    34200000 |            1 |       57000 |         4.1 |iter: 56/100\r",
      "      2.5 | 3.1609e-07 | 1.7241e-05 |          11 |    34800000 |            1 |       58000 |         4.2 |iter: 57/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "      2.5 | 3.1073e-07 | 1.6949e-05 |          11 |    35400000 |            1 |       59000 |         4.2 |iter: 58/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "      2.5 | 3.0556e-07 | 1.6667e-05 |          11 |    36000000 |            1 |       60000 |         4.3 |iter: 59/100\r",
      "      2.5 | 3.0055e-07 | 1.6393e-05 |          11 |    36600000 |            1 |       61000 |         4.4 |iter: 60/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "      2.5 | 2.9570e-07 | 1.6129e-05 |          11 |    37200000 |            1 |       62000 |         4.5 |iter: 61/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "      2.5 | 2.9101e-07 | 1.5873e-05 |          11 |    37800000 |            1 |       63000 |         4.5 |iter: 62/100\r",
      "      2.5 | 2.8646e-07 | 1.5625e-05 |          11 |    38400000 |            1 |       64000 |         4.6 |iter: 63/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "      2.5 | 2.8205e-07 | 1.5385e-05 |          11 |    39000000 |            1 |       65000 |         4.7 |iter: 64/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "      2.5 | 2.7778e-07 | 1.5152e-05 |          11 |    39600000 |            1 |       66000 |         4.8 |iter: 65/100\r",
      "      2.5 | 2.7363e-07 | 1.4925e-05 |          11 |    40200000 |            1 |       67000 |         4.8 |iter: 66/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "      2.5 | 2.6961e-07 | 1.4706e-05 |          11 |    40800000 |            1 |       68000 |         4.9 |iter: 67/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "      2.5 | 2.6570e-07 | 1.4493e-05 |          11 |    41400000 |            1 |       69000 |         5.0 |iter: 68/100\r",
      "      2.5 | 2.6190e-07 | 1.4286e-05 |          11 |    42000000 |            1 |       70000 |         5.0 |iter: 69/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "      2.5 | 2.5822e-07 | 1.4085e-05 |          11 |    42600000 |            1 |       71000 |         5.1 |iter: 70/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "      2.5 | 2.5463e-07 | 1.3889e-05 |          11 |    43200000 |            1 |       72000 |         5.2 |iter: 71/100\r",
      "      2.5 | 2.5114e-07 | 1.3699e-05 |          11 |    43800000 |            1 |       73000 |         5.3 |iter: 72/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "      2.5 | 2.4775e-07 | 1.3514e-05 |          11 |    44400000 |            1 |       74000 |         5.3 |iter: 73/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "      2.5 | 2.4444e-07 | 1.3333e-05 |          11 |    45000000 |            1 |       75000 |         5.4 |iter: 74/100\r",
      "      2.5 | 2.4123e-07 | 1.3158e-05 |          11 |    45600000 |            1 |       76000 |         5.5 |iter: 75/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "      2.5 | 2.3810e-07 | 1.2987e-05 |          11 |    46200000 |            1 |       77000 |         5.5 |iter: 76/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "      2.5 | 2.3504e-07 | 1.2821e-05 |          11 |    46800000 |            1 |       78000 |         5.6 |iter: 77/100\r",
      "      2.5 | 3.3755e-07 | 2.5316e-05 |          16 |    47400000 |            2 |       79000 |         5.7 |iter: 78/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "      2.5 | 3.3333e-07 | 2.5000e-05 |          16 |    48000000 |            2 |       80000 |         5.8 |iter: 79/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "      2.5 | 3.2922e-07 | 2.4691e-05 |          16 |    48600000 |            2 |       81000 |         5.8 |iter: 80/100\r",
      "      2.5 | 4.0650e-07 | 3.6585e-05 |          20 |    49200000 |            3 |       82000 |         5.9 |iter: 81/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "      2.5 | 4.0161e-07 | 3.6145e-05 |          20 |    49800000 |            3 |       83000 |         6.0 |iter: 82/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "      2.5 | 3.9683e-07 | 3.5714e-05 |          20 |    50400000 |            3 |       84000 |         6.0 |iter: 83/100\r",
      "      2.5 | 3.9216e-07 | 3.5294e-05 |          20 |    51000000 |            3 |       85000 |         6.1 |iter: 84/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "      2.5 | 3.8760e-07 | 3.4884e-05 |          20 |    51600000 |            3 |       86000 |         6.2 |iter: 85/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "      2.5 | 3.8314e-07 | 3.4483e-05 |          20 |    52200000 |            3 |       87000 |         6.3 |iter: 86/100\r",
      "      2.5 | 3.7879e-07 | 3.4091e-05 |          20 |    52800000 |            3 |       88000 |         6.3 |iter: 87/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "      2.5 | 3.7453e-07 | 3.3708e-05 |          20 |    53400000 |            3 |       89000 |         6.4 |iter: 88/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "      2.5 | 3.7037e-07 | 3.3333e-05 |          20 |    54000000 |            3 |       90000 |         6.5 |iter: 89/100\r",
      "      2.5 | 3.6630e-07 | 3.2967e-05 |          20 |    54600000 |            3 |       91000 |         6.6 |iter: 90/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "      2.5 | 3.6232e-07 | 3.2609e-05 |          20 |    55200000 |            3 |       92000 |         6.6 |iter: 91/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "      2.5 | 3.5842e-07 | 3.2258e-05 |          20 |    55800000 |            3 |       93000 |         6.7 |iter: 92/100\r",
      "      2.5 | 3.5461e-07 | 3.1915e-05 |          20 |    56400000 |            3 |       94000 |         6.8 |iter: 93/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "      2.5 | 3.5088e-07 | 3.1579e-05 |          20 |    57000000 |            3 |       95000 |         6.8 |iter: 94/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "      2.5 | 3.4722e-07 | 3.1250e-05 |          20 |    57600000 |            3 |       96000 |         6.9 |iter: 95/100\r",
      "      2.5 | 3.4364e-07 | 3.0928e-05 |          20 |    58200000 |            3 |       97000 |         7.0 |iter: 96/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "      2.5 | 3.4014e-07 | 3.0612e-05 |          20 |    58800000 |            3 |       98000 |         7.1 |iter: 97/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "      2.5 | 3.3670e-07 | 3.0303e-05 |          20 |    59400000 |            3 |       99000 |         7.1 |iter: 98/100\r",
      "      2.5 | 3.3333e-07 | 3.0000e-05 |          20 |    60000000 |            3 |      100000 |         7.2 |iter: 99/100\r",
      "      2.5 | 3.3333e-07 | 3.0000e-05 |          20 |    60000000 |            3 |      100000 |         7.2 |reached max iterations\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     2.75 | 0.0000e+00 | 0.0000e+00 |           0 |      600000 |            0 |        1000 |         0.1 |iter: 0/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     2.75 | 0.0000e+00 | 0.0000e+00 |           0 |     1200000 |            0 |        2000 |         0.1 |iter: 1/100\r",
      "     2.75 | 0.0000e+00 | 0.0000e+00 |           0 |     1800000 |            0 |        3000 |         0.2 |iter: 2/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     2.75 | 0.0000e+00 | 0.0000e+00 |           0 |     2400000 |            0 |        4000 |         0.3 |iter: 3/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     2.75 | 0.0000e+00 | 0.0000e+00 |           0 |     3000000 |            0 |        5000 |         0.4 |iter: 4/100\r",
      "     2.75 | 0.0000e+00 | 0.0000e+00 |           0 |     3600000 |            0 |        6000 |         0.4 |iter: 5/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     2.75 | 0.0000e+00 | 0.0000e+00 |           0 |     4200000 |            0 |        7000 |         0.5 |iter: 6/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     2.75 | 0.0000e+00 | 0.0000e+00 |           0 |     4800000 |            0 |        8000 |         0.6 |iter: 7/100\r",
      "     2.75 | 0.0000e+00 | 0.0000e+00 |           0 |     5400000 |            0 |        9000 |         0.6 |iter: 8/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     2.75 | 0.0000e+00 | 0.0000e+00 |           0 |     6000000 |            0 |       10000 |         0.7 |iter: 9/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     2.75 | 0.0000e+00 | 0.0000e+00 |           0 |     6600000 |            0 |       11000 |         0.8 |iter: 10/100\r",
      "     2.75 | 0.0000e+00 | 0.0000e+00 |           0 |     7200000 |            0 |       12000 |         0.9 |iter: 11/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     2.75 | 0.0000e+00 | 0.0000e+00 |           0 |     7800000 |            0 |       13000 |         0.9 |iter: 12/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     2.75 | 0.0000e+00 | 0.0000e+00 |           0 |     8400000 |            0 |       14000 |         1.0 |iter: 13/100\r",
      "     2.75 | 0.0000e+00 | 0.0000e+00 |           0 |     9000000 |            0 |       15000 |         1.1 |iter: 14/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     2.75 | 0.0000e+00 | 0.0000e+00 |           0 |     9600000 |            0 |       16000 |         1.2 |iter: 15/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     2.75 | 0.0000e+00 | 0.0000e+00 |           0 |    10200000 |            0 |       17000 |         1.2 |iter: 16/100\r",
      "     2.75 | 0.0000e+00 | 0.0000e+00 |           0 |    10800000 |            0 |       18000 |         1.3 |iter: 17/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     2.75 | 0.0000e+00 | 0.0000e+00 |           0 |    11400000 |            0 |       19000 |         1.4 |iter: 18/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     2.75 | 0.0000e+00 | 0.0000e+00 |           0 |    12000000 |            0 |       20000 |         1.4 |iter: 19/100\r",
      "     2.75 | 0.0000e+00 | 0.0000e+00 |           0 |    12600000 |            0 |       21000 |         1.5 |iter: 20/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     2.75 | 0.0000e+00 | 0.0000e+00 |           0 |    13200000 |            0 |       22000 |         1.6 |iter: 21/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     2.75 | 0.0000e+00 | 0.0000e+00 |           0 |    13800000 |            0 |       23000 |         1.7 |iter: 22/100\r",
      "     2.75 | 0.0000e+00 | 0.0000e+00 |           0 |    14400000 |            0 |       24000 |         1.7 |iter: 23/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     2.75 | 0.0000e+00 | 0.0000e+00 |           0 |    15000000 |            0 |       25000 |         1.8 |iter: 24/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     2.75 | 0.0000e+00 | 0.0000e+00 |           0 |    15600000 |            0 |       26000 |         1.9 |iter: 25/100\r",
      "     2.75 | 0.0000e+00 | 0.0000e+00 |           0 |    16200000 |            0 |       27000 |         1.9 |iter: 26/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     2.75 | 0.0000e+00 | 0.0000e+00 |           0 |    16800000 |            0 |       28000 |         2.0 |iter: 27/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     2.75 | 0.0000e+00 | 0.0000e+00 |           0 |    17400000 |            0 |       29000 |         2.1 |iter: 28/100\r",
      "     2.75 | 0.0000e+00 | 0.0000e+00 |           0 |    18000000 |            0 |       30000 |         2.2 |iter: 29/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     2.75 | 0.0000e+00 | 0.0000e+00 |           0 |    18600000 |            0 |       31000 |         2.2 |iter: 30/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     2.75 | 0.0000e+00 | 0.0000e+00 |           0 |    19200000 |            0 |       32000 |         2.3 |iter: 31/100\r",
      "     2.75 | 0.0000e+00 | 0.0000e+00 |           0 |    19800000 |            0 |       33000 |         2.4 |iter: 32/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     2.75 | 0.0000e+00 | 0.0000e+00 |           0 |    20400000 |            0 |       34000 |         2.4 |iter: 33/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     2.75 | 0.0000e+00 | 0.0000e+00 |           0 |    21000000 |            0 |       35000 |         2.5 |iter: 34/100\r",
      "     2.75 | 0.0000e+00 | 0.0000e+00 |           0 |    21600000 |            0 |       36000 |         2.6 |iter: 35/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     2.75 | 0.0000e+00 | 0.0000e+00 |           0 |    22200000 |            0 |       37000 |         2.7 |iter: 36/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     2.75 | 0.0000e+00 | 0.0000e+00 |           0 |    22800000 |            0 |       38000 |         2.7 |iter: 37/100\r",
      "     2.75 | 0.0000e+00 | 0.0000e+00 |           0 |    23400000 |            0 |       39000 |         2.8 |iter: 38/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     2.75 | 0.0000e+00 | 0.0000e+00 |           0 |    24000000 |            0 |       40000 |         2.9 |iter: 39/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     2.75 | 0.0000e+00 | 0.0000e+00 |           0 |    24600000 |            0 |       41000 |         3.0 |iter: 40/100\r",
      "     2.75 | 0.0000e+00 | 0.0000e+00 |           0 |    25200000 |            0 |       42000 |         3.0 |iter: 41/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     2.75 | 0.0000e+00 | 0.0000e+00 |           0 |    25800000 |            0 |       43000 |         3.1 |iter: 42/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     2.75 | 0.0000e+00 | 0.0000e+00 |           0 |    26400000 |            0 |       44000 |         3.2 |iter: 43/100\r",
      "     2.75 | 0.0000e+00 | 0.0000e+00 |           0 |    27000000 |            0 |       45000 |         3.2 |iter: 44/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     2.75 | 0.0000e+00 | 0.0000e+00 |           0 |    27600000 |            0 |       46000 |         3.3 |iter: 45/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     2.75 | 0.0000e+00 | 0.0000e+00 |           0 |    28200000 |            0 |       47000 |         3.4 |iter: 46/100\r",
      "     2.75 | 0.0000e+00 | 0.0000e+00 |           0 |    28800000 |            0 |       48000 |         3.5 |iter: 47/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     2.75 | 0.0000e+00 | 0.0000e+00 |           0 |    29400000 |            0 |       49000 |         3.5 |iter: 48/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     2.75 | 0.0000e+00 | 0.0000e+00 |           0 |    30000000 |            0 |       50000 |         3.6 |iter: 49/100\r",
      "     2.75 | 0.0000e+00 | 0.0000e+00 |           0 |    30600000 |            0 |       51000 |         3.7 |iter: 50/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     2.75 | 0.0000e+00 | 0.0000e+00 |           0 |    31200000 |            0 |       52000 |         3.7 |iter: 51/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     2.75 | 0.0000e+00 | 0.0000e+00 |           0 |    31800000 |            0 |       53000 |         3.8 |iter: 52/100\r",
      "     2.75 | 0.0000e+00 | 0.0000e+00 |           0 |    32400000 |            0 |       54000 |         3.9 |iter: 53/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     2.75 | 0.0000e+00 | 0.0000e+00 |           0 |    33000000 |            0 |       55000 |         4.0 |iter: 54/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     2.75 | 0.0000e+00 | 0.0000e+00 |           0 |    33600000 |            0 |       56000 |         4.0 |iter: 55/100\r",
      "     2.75 | 0.0000e+00 | 0.0000e+00 |           0 |    34200000 |            0 |       57000 |         4.1 |iter: 56/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     2.75 | 0.0000e+00 | 0.0000e+00 |           0 |    34800000 |            0 |       58000 |         4.2 |iter: 57/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     2.75 | 0.0000e+00 | 0.0000e+00 |           0 |    35400000 |            0 |       59000 |         4.2 |iter: 58/100\r",
      "     2.75 | 0.0000e+00 | 0.0000e+00 |           0 |    36000000 |            0 |       60000 |         4.3 |iter: 59/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     2.75 | 0.0000e+00 | 0.0000e+00 |           0 |    36600000 |            0 |       61000 |         4.4 |iter: 60/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     2.75 | 0.0000e+00 | 0.0000e+00 |           0 |    37200000 |            0 |       62000 |         4.5 |iter: 61/100\r",
      "     2.75 | 0.0000e+00 | 0.0000e+00 |           0 |    37800000 |            0 |       63000 |         4.5 |iter: 62/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     2.75 | 0.0000e+00 | 0.0000e+00 |           0 |    38400000 |            0 |       64000 |         4.6 |iter: 63/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     2.75 | 0.0000e+00 | 0.0000e+00 |           0 |    39000000 |            0 |       65000 |         4.7 |iter: 64/100\r",
      "     2.75 | 0.0000e+00 | 0.0000e+00 |           0 |    39600000 |            0 |       66000 |         4.8 |iter: 65/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     2.75 | 0.0000e+00 | 0.0000e+00 |           0 |    40200000 |            0 |       67000 |         4.8 |iter: 66/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     2.75 | 0.0000e+00 | 0.0000e+00 |           0 |    40800000 |            0 |       68000 |         4.9 |iter: 67/100\r",
      "     2.75 | 0.0000e+00 | 0.0000e+00 |           0 |    41400000 |            0 |       69000 |         5.0 |iter: 68/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     2.75 | 0.0000e+00 | 0.0000e+00 |           0 |    42000000 |            0 |       70000 |         5.0 |iter: 69/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     2.75 | 0.0000e+00 | 0.0000e+00 |           0 |    42600000 |            0 |       71000 |         5.1 |iter: 70/100\r",
      "     2.75 | 0.0000e+00 | 0.0000e+00 |           0 |    43200000 |            0 |       72000 |         5.2 |iter: 71/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     2.75 | 0.0000e+00 | 0.0000e+00 |           0 |    43800000 |            0 |       73000 |         5.3 |iter: 72/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     2.75 | 0.0000e+00 | 0.0000e+00 |           0 |    44400000 |            0 |       74000 |         5.3 |iter: 73/100\r",
      "     2.75 | 0.0000e+00 | 0.0000e+00 |           0 |    45000000 |            0 |       75000 |         5.4 |iter: 74/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     2.75 | 0.0000e+00 | 0.0000e+00 |           0 |    45600000 |            0 |       76000 |         5.5 |iter: 75/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     2.75 | 0.0000e+00 | 0.0000e+00 |           0 |    46200000 |            0 |       77000 |         5.5 |iter: 76/100\r",
      "     2.75 | 0.0000e+00 | 0.0000e+00 |           0 |    46800000 |            0 |       78000 |         5.6 |iter: 77/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     2.75 | 0.0000e+00 | 0.0000e+00 |           0 |    47400000 |            0 |       79000 |         5.7 |iter: 78/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     2.75 | 0.0000e+00 | 0.0000e+00 |           0 |    48000000 |            0 |       80000 |         5.8 |iter: 79/100\r",
      "     2.75 | 0.0000e+00 | 0.0000e+00 |           0 |    48600000 |            0 |       81000 |         5.8 |iter: 80/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     2.75 | 0.0000e+00 | 0.0000e+00 |           0 |    49200000 |            0 |       82000 |         5.9 |iter: 81/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     2.75 | 0.0000e+00 | 0.0000e+00 |           0 |    49800000 |            0 |       83000 |         6.0 |iter: 82/100\r",
      "     2.75 | 0.0000e+00 | 0.0000e+00 |           0 |    50400000 |            0 |       84000 |         6.0 |iter: 83/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     2.75 | 0.0000e+00 | 0.0000e+00 |           0 |    51000000 |            0 |       85000 |         6.1 |iter: 84/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     2.75 | 0.0000e+00 | 0.0000e+00 |           0 |    51600000 |            0 |       86000 |         6.2 |iter: 85/100\r",
      "     2.75 | 0.0000e+00 | 0.0000e+00 |           0 |    52200000 |            0 |       87000 |         6.3 |iter: 86/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     2.75 | 0.0000e+00 | 0.0000e+00 |           0 |    52800000 |            0 |       88000 |         6.3 |iter: 87/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     2.75 | 0.0000e+00 | 0.0000e+00 |           0 |    53400000 |            0 |       89000 |         6.4 |iter: 88/100\r",
      "     2.75 | 0.0000e+00 | 0.0000e+00 |           0 |    54000000 |            0 |       90000 |         6.5 |iter: 89/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     2.75 | 0.0000e+00 | 0.0000e+00 |           0 |    54600000 |            0 |       91000 |         6.6 |iter: 90/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     2.75 | 0.0000e+00 | 0.0000e+00 |           0 |    55200000 |            0 |       92000 |         6.6 |iter: 91/100\r",
      "     2.75 | 0.0000e+00 | 0.0000e+00 |           0 |    55800000 |            0 |       93000 |         6.7 |iter: 92/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     2.75 | 0.0000e+00 | 0.0000e+00 |           0 |    56400000 |            0 |       94000 |         6.8 |iter: 93/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     2.75 | 0.0000e+00 | 0.0000e+00 |           0 |    57000000 |            0 |       95000 |         6.8 |iter: 94/100\r",
      "     2.75 | 0.0000e+00 | 0.0000e+00 |           0 |    57600000 |            0 |       96000 |         6.9 |iter: 95/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     2.75 | 0.0000e+00 | 0.0000e+00 |           0 |    58200000 |            0 |       97000 |         7.0 |iter: 96/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     2.75 | 0.0000e+00 | 0.0000e+00 |           0 |    58800000 |            0 |       98000 |         7.1 |iter: 97/100\r",
      "     2.75 | 0.0000e+00 | 0.0000e+00 |           0 |    59400000 |            0 |       99000 |         7.1 |iter: 98/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     2.75 | 0.0000e+00 | 0.0000e+00 |           0 |    60000000 |            0 |      100000 |         7.2 |iter: 99/100\r",
      "     2.75 | 0.0000e+00 | 0.0000e+00 |           0 |    60000000 |            0 |      100000 |         7.2 |reached max iterations\n",
      "\n",
      "Simulation stopped as no error occurred @ EbNo = 2.8 dB.\n",
      "\n"
     ]
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1600x1000 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    " # the first argument must be a callable (function) that yields u and u_hat for batch_size and ebno\n",
    "ber_plot_allzero.simulate(run_ber, # the function have defined previously\n",
    "                          ebno_dbs=np.arange(0, 5, 0.25), # sim SNR range \n",
    "                          legend=\"Baseline (with encoder)\",\n",
    "                          max_mc_iter=100,\n",
    "                          num_target_bit_errors=1000,\n",
    "                          batch_size=1000,\n",
    "                          soft_estimates=False,\n",
    "                          early_stop=True,\n",
    "                          show_fig=True,\n",
    "                          forward_keyboard_interrupt=False);"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## All-zero Codeword Simulations\n",
    "\n",
    "In this section you will learn about how to simulate accurate BER curves without the need for having an actual encoder in-place.\n",
    "We compare each step with the ground truth from the Sionna encoder:\n",
    "\n",
    "1. ) Simulate baseline with encoder as done above.\n",
    "2. ) Remove encoder: Simulate QPSK with all-zero codeword transmission.\n",
    "3. ) Gaussian approximation (for BPSK/QPSK): Remove (de-)mapping and mimic the LLR distribution for the all-zero codeword.\n",
    "4. ) Learn that a scrambler is required for higher order modulation schemes.\n",
    "\n",
    "An important property of linear codes is that each codewords has - in average - the same behavior. Thus, for BER simulations the all-zero codeword is sufficient.\n",
    "\n",
    "**Note**: strictly speaking, this requires *symmetric* decoders in a sense that the decoder is not biased towards positive or negative LLRs (e.g., by interpreting $\\ell_\\text{ch}=0$ as positive value). However, in practice this can be either avoided or is often neglected.\n",
    "\n",
    "Recall that we have simulated the following setup as baseline.\n",
    "Note: for simplicity and readability, the interleaver is omitted in the following.\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    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)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Let us implement a Sionna Block that can be re-used and configured for the later experiments."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-02-14T00:13:59.033490Z",
     "iopub.status.busy": "2026-02-14T00:13:59.033348Z",
     "iopub.status.idle": "2026-02-14T00:13:59.039078Z",
     "shell.execute_reply": "2026-02-14T00:13:59.038495Z"
    }
   },
   "outputs": [],
   "source": [
    "class LDPC_QAM_AWGN(Block):\n",
    "    \"\"\"System model for channel coding BER simulations\n",
    "\n",
    "    This model allows to simulate BERs over an AWGN channel with\n",
    "    QAM modulation. It can enable/disable multiple options to analyse all-zero codeword simulations.\n",
    "\n",
    "    If active, the system uses the 5G LDPC encoder/decoder module.\n",
    "\n",
    "    Parameters\n",
    "    ----------\n",
    "    k: int\n",
    "        number of information bits per codeword.\n",
    "\n",
    "    n: int \n",
    "        codeword length.\n",
    "\n",
    "    num_bits_per_symbol: int\n",
    "        number of bits per QAM symbol.\n",
    "\n",
    "    demapping_method: str\n",
    "        A string defining the demapping method. Can be either \"app\" or \"maxlog\".\n",
    "\n",
    "    cn_update: str\n",
    "        A string defining the check node update function type of the LDPC decoder.\n",
    "\n",
    "    use_allzero: bool  \n",
    "        A boolean defaults to False. If True, no encoder is used and all-zero codewords are sent.\n",
    "\n",
    "    use_scrambler: bool\n",
    "        A boolean defaults to False. If True, a scrambler after the encoder and a descrambler before the decoder\n",
    "        is used, respectively.\n",
    "\n",
    "    use_ldpc_output_interleaver: bool\n",
    "        A boolean defaults to False. If True, the output interleaver as \n",
    "        defined in 3GPP 38.212 is applied after rate-matching.\n",
    "\n",
    "    no_est_mismatch: float\n",
    "        A float defaults to 1.0. Defines the SNR estimation mismatch of the demapper such that the effective demapping\n",
    "        noise variance estimate is the scaled by ``no_est_mismatch`` version of the true noise_variance\n",
    "\n",
    "    Input\n",
    "    -----\n",
    "    batch_size: int or torch.int\n",
    "        The batch_size used for the simulation.\n",
    "\n",
    "    ebno_db: float or torch.float\n",
    "        A float defining the simulation SNR.\n",
    "\n",
    "    Output\n",
    "    ------\n",
    "    (u, u_hat):\n",
    "        Tuple:\n",
    "\n",
    "    u: torch.float\n",
    "        A tensor of shape `[batch_size, k] of 0s and 1s containing the transmitted information bits.\n",
    "\n",
    "    u_hat: torch.float\n",
    "        A tensor of shape `[batch_size, k] of 0s and 1s containing the estimated information bits.\n",
    "    \"\"\"\n",
    "\n",
    "    def __init__(self,\n",
    "                 k,\n",
    "                 n,\n",
    "                 num_bits_per_symbol,\n",
    "                 demapping_method=\"app\",\n",
    "                 cn_update=\"boxplus\",\n",
    "                 use_allzero=False,\n",
    "                 use_scrambler=False,\n",
    "                 use_ldpc_output_interleaver=False,\n",
    "                 no_est_mismatch=1.):\n",
    "        super().__init__()\n",
    "        self.k = k\n",
    "        self.n = n\n",
    "\n",
    "        self.num_bits_per_symbol = num_bits_per_symbol\n",
    "\n",
    "        self.use_allzero = use_allzero\n",
    "        self.use_scrambler = use_scrambler\n",
    "\n",
    "        # adds noise to SNR estimation at demapper\n",
    "        # see last section \"mismatched demapping\"\n",
    "        self.no_est_mismatch = no_est_mismatch \n",
    "\n",
    "        # init components\n",
    "        self.source = BinarySource()\n",
    "       \n",
    "        # initialize mapper and demapper with constellation object\n",
    "        self.constellation = Constellation(\"qam\",\n",
    "                                num_bits_per_symbol=self.num_bits_per_symbol)\n",
    "        self.mapper = Mapper(constellation=self.constellation)\n",
    "        self.demapper = Demapper(demapping_method,\n",
    "                                 constellation=self.constellation)\n",
    "\n",
    "        self.channel = AWGN()\n",
    "\n",
    "        # LDPC encoder / decoder\n",
    "        if use_ldpc_output_interleaver:\n",
    "            # the output interleaver needs knowledge of the modulation order\n",
    "            self.encoder = LDPC5GEncoder(self.k, self.n, num_bits_per_symbol)\n",
    "        else:\n",
    "            self.encoder = LDPC5GEncoder(self.k, self.n)\n",
    "        self.decoder = LDPC5GDecoder(self.encoder, cn_update=cn_update)\n",
    "\n",
    "        self.scrambler = Scrambler()        \n",
    "        # connect descrambler to scrambler\n",
    "        self.descrambler = Descrambler(self.scrambler, binary=False) \n",
    "\n",
    "    def call(self, batch_size, ebno_db):\n",
    "\n",
    "        # calculate noise variance\n",
    "        no = ebnodb2no(ebno_db,\n",
    "                       num_bits_per_symbol=self.num_bits_per_symbol,\n",
    "                       coderate=self.k/self.n)            \n",
    "\n",
    "        if self.use_allzero:\n",
    "            u = torch.zeros(batch_size, self.k, device=self.device)  # only needed for \n",
    "            c = torch.zeros(batch_size, self.n, device=self.device)  # replace enc. with all-zero codeword\n",
    "        else:\n",
    "            u = self.source([batch_size, self.k])\n",
    "            c = self.encoder(u) # explicitly encode\n",
    "        \n",
    "        # scramble codeword if actively required\n",
    "        if self.use_scrambler:\n",
    "            c = self.scrambler(c)\n",
    "\n",
    "        x = self.mapper(c) # map c to symbols\n",
    "\n",
    "        y = self.channel(x, no) # transmit over AWGN channel\n",
    "\n",
    "        # add noise estimation mismatch for demapper (see last section)\n",
    "        # set to 1 per default -> no mismatch\n",
    "        no_est = no * self.no_est_mismatch\n",
    "        llr_ch = self.demapper(y, no_est) # demapp\n",
    "\n",
    "        if self.use_scrambler:\n",
    "            llr_ch = self.descrambler(llr_ch)\n",
    "\n",
    "        u_hat = self.decoder(llr_ch) # run LDPC decoder (incl. de-rate-matching)\n",
    "\n",
    "        return u, u_hat"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Remove Encoder: Simulate QPSK with All-zero Codeword Transmission\n",
    "\n",
    "We now simulate the same system *without* encoder and transmit constant *0*s.\n",
    "\n",
    "Due to the symmetry of the QPSK, no scrambler is required. You will learn about the effect of the scrambler in the last section."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    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)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-02-14T00:13:59.041433Z",
     "iopub.status.busy": "2026-02-14T00:13:59.041310Z",
     "iopub.status.idle": "2026-02-14T00:14:23.125528Z",
     "shell.execute_reply": "2026-02-14T00:14:23.124723Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "EbNo [dB] |        BER |       BLER |  bit errors |    num bits | block errors |  num blocks | runtime [s] |    status\n",
      "---------------------------------------------------------------------------------------------------------------------------------------\n",
      "      0.0 | 1.6432e-01 | 9.9900e-01 |       98595 |      600000 |          999 |        1000 |         0.1 |iter: 0/100\r",
      "      0.0 | 1.6432e-01 | 9.9900e-01 |       98595 |      600000 |          999 |        1000 |         0.1 |reached target bit errors\n",
      "     0.25 | 1.4117e-01 | 9.9000e-01 |       84703 |      600000 |          990 |        1000 |         0.1 |iter: 0/100\r",
      "     0.25 | 1.4117e-01 | 9.9000e-01 |       84703 |      600000 |          990 |        1000 |         0.1 |reached target bit errors\n",
      "      0.5 | 1.0577e-01 | 9.1400e-01 |       63461 |      600000 |          914 |        1000 |         0.1 |iter: 0/100\r",
      "      0.5 | 1.0577e-01 | 9.1400e-01 |       63461 |      600000 |          914 |        1000 |         0.1 |reached target bit errors\n",
      "     0.75 | 6.3080e-02 | 7.3300e-01 |       37848 |      600000 |          733 |        1000 |         0.1 |iter: 0/100\r",
      "     0.75 | 6.3080e-02 | 7.3300e-01 |       37848 |      600000 |          733 |        1000 |         0.1 |reached target bit errors\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "      1.0 | 3.1072e-02 | 4.6800e-01 |       18643 |      600000 |          468 |        1000 |         0.1 |iter: 0/100\r",
      "      1.0 | 3.1072e-02 | 4.6800e-01 |       18643 |      600000 |          468 |        1000 |         0.1 |reached target bit errors\n",
      "     1.25 | 1.1880e-02 | 2.2100e-01 |        7128 |      600000 |          221 |        1000 |         0.1 |iter: 0/100\r",
      "     1.25 | 1.1880e-02 | 2.2100e-01 |        7128 |      600000 |          221 |        1000 |         0.1 |reached target bit errors\n",
      "      1.5 | 3.5717e-03 | 7.6000e-02 |        2143 |      600000 |           76 |        1000 |         0.1 |iter: 0/100\r",
      "      1.5 | 3.5717e-03 | 7.6000e-02 |        2143 |      600000 |           76 |        1000 |         0.1 |reached target bit errors\n",
      "     1.75 | 1.2833e-04 | 7.0000e-03 |          77 |      600000 |            7 |        1000 |         0.1 |iter: 0/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     1.75 | 1.5333e-04 | 7.5000e-03 |         184 |     1200000 |           15 |        2000 |         0.1 |iter: 1/100\r",
      "     1.75 | 2.3944e-04 | 1.0333e-02 |         431 |     1800000 |           31 |        3000 |         0.2 |iter: 2/100\r",
      "     1.75 | 2.5542e-04 | 1.0000e-02 |         613 |     2400000 |           40 |        4000 |         0.2 |iter: 3/100\r",
      "     1.75 | 2.7033e-04 | 9.8000e-03 |         811 |     3000000 |           49 |        5000 |         0.3 |iter: 4/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     1.75 | 3.3333e-04 | 1.0333e-02 |        1200 |     3600000 |           62 |        6000 |         0.3 |iter: 5/100\r",
      "     1.75 | 3.3333e-04 | 1.0333e-02 |        1200 |     3600000 |           62 |        6000 |         0.3 |reached target bit errors\n",
      "      2.0 | 1.8333e-05 | 1.0000e-03 |          11 |      600000 |            1 |        1000 |         0.1 |iter: 0/100\r",
      "      2.0 | 3.4167e-05 | 1.0000e-03 |          41 |     1200000 |            2 |        2000 |         0.1 |iter: 1/100\r",
      "      2.0 | 2.8333e-05 | 1.0000e-03 |          51 |     1800000 |            3 |        3000 |         0.2 |iter: 2/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "      2.0 | 2.1667e-05 | 1.0000e-03 |          52 |     2400000 |            4 |        4000 |         0.2 |iter: 3/100\r",
      "      2.0 | 2.9333e-05 | 1.6000e-03 |          88 |     3000000 |            8 |        5000 |         0.3 |iter: 4/100\r",
      "      2.0 | 6.7778e-05 | 1.6667e-03 |         244 |     3600000 |           10 |        6000 |         0.3 |iter: 5/100\r",
      "      2.0 | 5.8571e-05 | 1.5714e-03 |         246 |     4200000 |           11 |        7000 |         0.4 |iter: 6/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "      2.0 | 5.1250e-05 | 1.3750e-03 |         246 |     4800000 |           11 |        8000 |         0.4 |iter: 7/100\r",
      "      2.0 | 4.5556e-05 | 1.2222e-03 |         246 |     5400000 |           11 |        9000 |         0.5 |iter: 8/100\r",
      "      2.0 | 4.1833e-05 | 1.2000e-03 |         251 |     6000000 |           12 |       10000 |         0.5 |iter: 9/100\r",
      "      2.0 | 5.5606e-05 | 1.5455e-03 |         367 |     6600000 |           17 |       11000 |         0.6 |iter: 10/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "      2.0 | 5.1250e-05 | 1.5833e-03 |         369 |     7200000 |           19 |       12000 |         0.6 |iter: 11/100\r",
      "      2.0 | 4.8590e-05 | 1.6923e-03 |         379 |     7800000 |           22 |       13000 |         0.7 |iter: 12/100\r",
      "      2.0 | 4.5357e-05 | 1.6429e-03 |         381 |     8400000 |           23 |       14000 |         0.7 |iter: 13/100\r",
      "      2.0 | 4.3000e-05 | 1.6000e-03 |         387 |     9000000 |           24 |       15000 |         0.8 |iter: 14/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "      2.0 | 4.5521e-05 | 1.5625e-03 |         437 |     9600000 |           25 |       16000 |         0.9 |iter: 15/100\r",
      "      2.0 | 4.2843e-05 | 1.4706e-03 |         437 |    10200000 |           25 |       17000 |         0.9 |iter: 16/100\r",
      "      2.0 | 4.1852e-05 | 1.4444e-03 |         452 |    10800000 |           26 |       18000 |         1.0 |iter: 17/100\r",
      "      2.0 | 4.0965e-05 | 1.4211e-03 |         467 |    11400000 |           27 |       19000 |         1.0 |iter: 18/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "      2.0 | 3.9417e-05 | 1.4000e-03 |         473 |    12000000 |           28 |       20000 |         1.1 |iter: 19/100\r",
      "      2.0 | 3.7540e-05 | 1.3333e-03 |         473 |    12600000 |           28 |       21000 |         1.1 |iter: 20/100\r",
      "      2.0 | 3.5833e-05 | 1.2727e-03 |         473 |    13200000 |           28 |       22000 |         1.2 |iter: 21/100\r",
      "      2.0 | 3.4275e-05 | 1.2174e-03 |         473 |    13800000 |           28 |       23000 |         1.2 |iter: 22/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "      2.0 | 4.1389e-05 | 1.2500e-03 |         596 |    14400000 |           30 |       24000 |         1.3 |iter: 23/100\r",
      "      2.0 | 3.9867e-05 | 1.2400e-03 |         598 |    15000000 |           31 |       25000 |         1.3 |iter: 24/100\r",
      "      2.0 | 3.8590e-05 | 1.2308e-03 |         602 |    15600000 |           32 |       26000 |         1.4 |iter: 25/100\r",
      "      2.0 | 4.9938e-05 | 1.3704e-03 |         809 |    16200000 |           37 |       27000 |         1.4 |iter: 26/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "      2.0 | 5.3690e-05 | 1.4286e-03 |         902 |    16800000 |           40 |       28000 |         1.5 |iter: 27/100\r",
      "      2.0 | 5.1839e-05 | 1.3793e-03 |         902 |    17400000 |           40 |       29000 |         1.5 |iter: 28/100\r",
      "      2.0 | 5.1722e-05 | 1.4333e-03 |         931 |    18000000 |           43 |       30000 |         1.6 |iter: 29/100\r",
      "      2.0 | 5.3280e-05 | 1.4516e-03 |         991 |    18600000 |           45 |       31000 |         1.6 |iter: 30/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "      2.0 | 5.1615e-05 | 1.4062e-03 |         991 |    19200000 |           45 |       32000 |         1.7 |iter: 31/100\r",
      "      2.0 | 5.3838e-05 | 1.5152e-03 |        1066 |    19800000 |           50 |       33000 |         1.8 |iter: 32/100\r",
      "      2.0 | 5.3838e-05 | 1.5152e-03 |        1066 |    19800000 |           50 |       33000 |         1.8 |reached target bit errors\n",
      "     2.25 | 0.0000e+00 | 0.0000e+00 |           0 |      600000 |            0 |        1000 |         0.1 |iter: 0/100\r",
      "     2.25 | 0.0000e+00 | 0.0000e+00 |           0 |     1200000 |            0 |        2000 |         0.1 |iter: 1/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     2.25 | 5.5556e-07 | 3.3333e-04 |           1 |     1800000 |            1 |        3000 |         0.2 |iter: 2/100\r",
      "     2.25 | 4.1667e-07 | 2.5000e-04 |           1 |     2400000 |            1 |        4000 |         0.2 |iter: 3/100\r",
      "     2.25 | 3.3333e-07 | 2.0000e-04 |           1 |     3000000 |            1 |        5000 |         0.3 |iter: 4/100\r",
      "     2.25 | 2.7778e-07 | 1.6667e-04 |           1 |     3600000 |            1 |        6000 |         0.3 |iter: 5/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     2.25 | 2.3810e-07 | 1.4286e-04 |           1 |     4200000 |            1 |        7000 |         0.4 |iter: 6/100\r",
      "     2.25 | 2.0833e-07 | 1.2500e-04 |           1 |     4800000 |            1 |        8000 |         0.4 |iter: 7/100\r",
      "     2.25 | 1.8519e-07 | 1.1111e-04 |           1 |     5400000 |            1 |        9000 |         0.5 |iter: 8/100\r",
      "     2.25 | 1.6667e-07 | 1.0000e-04 |           1 |     6000000 |            1 |       10000 |         0.5 |iter: 9/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     2.25 | 1.5152e-07 | 9.0909e-05 |           1 |     6600000 |            1 |       11000 |         0.6 |iter: 10/100\r",
      "     2.25 | 1.3889e-07 | 8.3333e-05 |           1 |     7200000 |            1 |       12000 |         0.6 |iter: 11/100\r",
      "     2.25 | 1.2821e-07 | 7.6923e-05 |           1 |     7800000 |            1 |       13000 |         0.7 |iter: 12/100\r",
      "     2.25 | 1.1905e-07 | 7.1429e-05 |           1 |     8400000 |            1 |       14000 |         0.7 |iter: 13/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     2.25 | 1.1111e-07 | 6.6667e-05 |           1 |     9000000 |            1 |       15000 |         0.8 |iter: 14/100\r",
      "     2.25 | 1.0417e-07 | 6.2500e-05 |           1 |     9600000 |            1 |       16000 |         0.9 |iter: 15/100\r",
      "     2.25 | 9.8039e-08 | 5.8824e-05 |           1 |    10200000 |            1 |       17000 |         0.9 |iter: 16/100\r",
      "     2.25 | 9.2593e-08 | 5.5556e-05 |           1 |    10800000 |            1 |       18000 |         1.0 |iter: 17/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     2.25 | 8.7719e-08 | 5.2632e-05 |           1 |    11400000 |            1 |       19000 |         1.0 |iter: 18/100\r",
      "     2.25 | 8.3333e-08 | 5.0000e-05 |           1 |    12000000 |            1 |       20000 |         1.1 |iter: 19/100\r",
      "     2.25 | 7.9365e-08 | 4.7619e-05 |           1 |    12600000 |            1 |       21000 |         1.1 |iter: 20/100\r",
      "     2.25 | 7.5758e-08 | 4.5455e-05 |           1 |    13200000 |            1 |       22000 |         1.2 |iter: 21/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     2.25 | 7.2464e-08 | 4.3478e-05 |           1 |    13800000 |            1 |       23000 |         1.2 |iter: 22/100\r",
      "     2.25 | 6.9444e-08 | 4.1667e-05 |           1 |    14400000 |            1 |       24000 |         1.3 |iter: 23/100\r",
      "     2.25 | 6.6667e-08 | 4.0000e-05 |           1 |    15000000 |            1 |       25000 |         1.3 |iter: 24/100\r",
      "     2.25 | 6.4103e-08 | 3.8462e-05 |           1 |    15600000 |            1 |       26000 |         1.4 |iter: 25/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     2.25 | 6.1728e-08 | 3.7037e-05 |           1 |    16200000 |            1 |       27000 |         1.4 |iter: 26/100\r",
      "     2.25 | 5.9524e-08 | 3.5714e-05 |           1 |    16800000 |            1 |       28000 |         1.5 |iter: 27/100\r",
      "     2.25 | 5.7471e-08 | 3.4483e-05 |           1 |    17400000 |            1 |       29000 |         1.5 |iter: 28/100\r",
      "     2.25 | 5.5556e-08 | 3.3333e-05 |           1 |    18000000 |            1 |       30000 |         1.6 |iter: 29/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     2.25 | 5.3763e-08 | 3.2258e-05 |           1 |    18600000 |            1 |       31000 |         1.6 |iter: 30/100\r",
      "     2.25 | 5.2083e-08 | 3.1250e-05 |           1 |    19200000 |            1 |       32000 |         1.7 |iter: 31/100\r",
      "     2.25 | 5.0505e-08 | 3.0303e-05 |           1 |    19800000 |            1 |       33000 |         1.8 |iter: 32/100\r",
      "     2.25 | 4.9020e-08 | 2.9412e-05 |           1 |    20400000 |            1 |       34000 |         1.8 |iter: 33/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     2.25 | 5.7143e-07 | 5.7143e-05 |          12 |    21000000 |            2 |       35000 |         1.9 |iter: 34/100\r",
      "     2.25 | 5.5556e-07 | 5.5556e-05 |          12 |    21600000 |            2 |       36000 |         1.9 |iter: 35/100\r",
      "     2.25 | 6.3063e-07 | 8.1081e-05 |          14 |    22200000 |            3 |       37000 |         2.0 |iter: 36/100\r",
      "     2.25 | 6.1404e-07 | 7.8947e-05 |          14 |    22800000 |            3 |       38000 |         2.0 |iter: 37/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     2.25 | 5.9829e-07 | 7.6923e-05 |          14 |    23400000 |            3 |       39000 |         2.1 |iter: 38/100\r",
      "     2.25 | 5.8333e-07 | 7.5000e-05 |          14 |    24000000 |            3 |       40000 |         2.1 |iter: 39/100\r",
      "     2.25 | 5.6911e-07 | 7.3171e-05 |          14 |    24600000 |            3 |       41000 |         2.2 |iter: 40/100\r",
      "     2.25 | 5.9524e-07 | 9.5238e-05 |          15 |    25200000 |            4 |       42000 |         2.2 |iter: 41/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     2.25 | 3.6047e-06 | 1.1628e-04 |          93 |    25800000 |            5 |       43000 |         2.3 |iter: 42/100\r",
      "     2.25 | 3.5227e-06 | 1.1364e-04 |          93 |    26400000 |            5 |       44000 |         2.3 |iter: 43/100\r",
      "     2.25 | 3.4444e-06 | 1.1111e-04 |          93 |    27000000 |            5 |       45000 |         2.4 |iter: 44/100\r",
      "     2.25 | 3.3696e-06 | 1.0870e-04 |          93 |    27600000 |            5 |       46000 |         2.4 |iter: 45/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     2.25 | 3.2979e-06 | 1.0638e-04 |          93 |    28200000 |            5 |       47000 |         2.5 |iter: 46/100\r",
      "     2.25 | 3.2292e-06 | 1.0417e-04 |          93 |    28800000 |            5 |       48000 |         2.6 |iter: 47/100\r",
      "     2.25 | 3.1633e-06 | 1.0204e-04 |          93 |    29400000 |            5 |       49000 |         2.6 |iter: 48/100\r",
      "     2.25 | 3.2000e-06 | 1.2000e-04 |          96 |    30000000 |            6 |       50000 |         2.7 |iter: 49/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     2.25 | 3.5948e-06 | 1.3725e-04 |         110 |    30600000 |            7 |       51000 |         2.7 |iter: 50/100\r",
      "     2.25 | 3.5256e-06 | 1.3462e-04 |         110 |    31200000 |            7 |       52000 |         2.8 |iter: 51/100\r",
      "     2.25 | 3.4591e-06 | 1.3208e-04 |         110 |    31800000 |            7 |       53000 |         2.8 |iter: 52/100\r",
      "     2.25 | 3.3951e-06 | 1.2963e-04 |         110 |    32400000 |            7 |       54000 |         2.9 |iter: 53/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     2.25 | 3.3333e-06 | 1.2727e-04 |         110 |    33000000 |            7 |       55000 |         2.9 |iter: 54/100\r",
      "     2.25 | 3.3036e-06 | 1.4286e-04 |         111 |    33600000 |            8 |       56000 |         3.0 |iter: 55/100\r",
      "     2.25 | 3.2456e-06 | 1.4035e-04 |         111 |    34200000 |            8 |       57000 |         3.0 |iter: 56/100\r",
      "     2.25 | 3.2471e-06 | 1.5517e-04 |         113 |    34800000 |            9 |       58000 |         3.1 |iter: 57/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     2.25 | 3.1921e-06 | 1.5254e-04 |         113 |    35400000 |            9 |       59000 |         3.1 |iter: 58/100\r",
      "     2.25 | 3.1389e-06 | 1.5000e-04 |         113 |    36000000 |            9 |       60000 |         3.2 |iter: 59/100\r",
      "     2.25 | 3.0874e-06 | 1.4754e-04 |         113 |    36600000 |            9 |       61000 |         3.2 |iter: 60/100\r",
      "     2.25 | 3.0376e-06 | 1.4516e-04 |         113 |    37200000 |            9 |       62000 |         3.3 |iter: 61/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     2.25 | 2.9894e-06 | 1.4286e-04 |         113 |    37800000 |            9 |       63000 |         3.4 |iter: 62/100\r",
      "     2.25 | 2.9427e-06 | 1.4062e-04 |         113 |    38400000 |            9 |       64000 |         3.4 |iter: 63/100\r",
      "     2.25 | 2.9231e-06 | 1.5385e-04 |         114 |    39000000 |           10 |       65000 |         3.5 |iter: 64/100\r",
      "     2.25 | 2.8788e-06 | 1.5152e-04 |         114 |    39600000 |           10 |       66000 |         3.5 |iter: 65/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     2.25 | 2.8358e-06 | 1.4925e-04 |         114 |    40200000 |           10 |       67000 |         3.6 |iter: 66/100\r",
      "     2.25 | 2.7941e-06 | 1.4706e-04 |         114 |    40800000 |           10 |       68000 |         3.6 |iter: 67/100\r",
      "     2.25 | 2.7536e-06 | 1.4493e-04 |         114 |    41400000 |           10 |       69000 |         3.7 |iter: 68/100\r",
      "     2.25 | 2.7143e-06 | 1.4286e-04 |         114 |    42000000 |           10 |       70000 |         3.7 |iter: 69/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     2.25 | 2.6761e-06 | 1.4085e-04 |         114 |    42600000 |           10 |       71000 |         3.8 |iter: 70/100\r",
      "     2.25 | 2.6389e-06 | 1.3889e-04 |         114 |    43200000 |           10 |       72000 |         3.8 |iter: 71/100\r",
      "     2.25 | 2.6256e-06 | 1.5068e-04 |         115 |    43800000 |           11 |       73000 |         3.9 |iter: 72/100\r",
      "     2.25 | 2.5901e-06 | 1.4865e-04 |         115 |    44400000 |           11 |       74000 |         3.9 |iter: 73/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     2.25 | 2.5556e-06 | 1.4667e-04 |         115 |    45000000 |           11 |       75000 |         4.0 |iter: 74/100\r",
      "     2.25 | 2.5219e-06 | 1.4474e-04 |         115 |    45600000 |           11 |       76000 |         4.0 |iter: 75/100\r",
      "     2.25 | 2.5108e-06 | 1.5584e-04 |         116 |    46200000 |           12 |       77000 |         4.1 |iter: 76/100\r",
      "     2.25 | 2.4786e-06 | 1.5385e-04 |         116 |    46800000 |           12 |       78000 |         4.1 |iter: 77/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     2.25 | 2.4473e-06 | 1.5190e-04 |         116 |    47400000 |           12 |       79000 |         4.2 |iter: 78/100\r",
      "     2.25 | 3.0833e-06 | 1.6250e-04 |         148 |    48000000 |           13 |       80000 |         4.3 |iter: 79/100\r",
      "     2.25 | 3.0864e-06 | 1.7284e-04 |         150 |    48600000 |           14 |       81000 |         4.3 |iter: 80/100\r",
      "     2.25 | 3.0488e-06 | 1.7073e-04 |         150 |    49200000 |           14 |       82000 |         4.4 |iter: 81/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     2.25 | 3.0120e-06 | 1.6867e-04 |         150 |    49800000 |           14 |       83000 |         4.4 |iter: 82/100\r",
      "     2.25 | 2.9762e-06 | 1.6667e-04 |         150 |    50400000 |           14 |       84000 |         4.5 |iter: 83/100\r",
      "     2.25 | 3.2353e-06 | 1.7647e-04 |         165 |    51000000 |           15 |       85000 |         4.5 |iter: 84/100\r",
      "     2.25 | 3.1977e-06 | 1.7442e-04 |         165 |    51600000 |           15 |       86000 |         4.6 |iter: 85/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     2.25 | 3.1609e-06 | 1.7241e-04 |         165 |    52200000 |           15 |       87000 |         4.6 |iter: 86/100\r",
      "     2.25 | 3.1250e-06 | 1.7045e-04 |         165 |    52800000 |           15 |       88000 |         4.7 |iter: 87/100\r",
      "     2.25 | 4.7004e-06 | 1.7978e-04 |         251 |    53400000 |           16 |       89000 |         4.7 |iter: 88/100\r",
      "     2.25 | 4.6481e-06 | 1.7778e-04 |         251 |    54000000 |           16 |       90000 |         4.8 |iter: 89/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     2.25 | 4.5971e-06 | 1.7582e-04 |         251 |    54600000 |           16 |       91000 |         4.8 |iter: 90/100\r",
      "     2.25 | 4.5471e-06 | 1.7391e-04 |         251 |    55200000 |           16 |       92000 |         4.9 |iter: 91/100\r",
      "     2.25 | 4.4982e-06 | 1.7204e-04 |         251 |    55800000 |           16 |       93000 |         4.9 |iter: 92/100\r",
      "     2.25 | 4.4504e-06 | 1.7021e-04 |         251 |    56400000 |           16 |       94000 |         5.0 |iter: 93/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     2.25 | 4.4035e-06 | 1.6842e-04 |         251 |    57000000 |           16 |       95000 |         5.1 |iter: 94/100\r",
      "     2.25 | 4.3576e-06 | 1.6667e-04 |         251 |    57600000 |           16 |       96000 |         5.1 |iter: 95/100\r",
      "     2.25 | 4.3814e-06 | 1.7526e-04 |         255 |    58200000 |           17 |       97000 |         5.2 |iter: 96/100\r",
      "     2.25 | 4.3367e-06 | 1.7347e-04 |         255 |    58800000 |           17 |       98000 |         5.2 |iter: 97/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     2.25 | 4.2929e-06 | 1.7172e-04 |         255 |    59400000 |           17 |       99000 |         5.3 |iter: 98/100\r",
      "     2.25 | 4.2500e-06 | 1.7000e-04 |         255 |    60000000 |           17 |      100000 |         5.3 |iter: 99/100\r",
      "     2.25 | 4.2500e-06 | 1.7000e-04 |         255 |    60000000 |           17 |      100000 |         5.3 |reached max iterations\n",
      "      2.5 | 0.0000e+00 | 0.0000e+00 |           0 |      600000 |            0 |        1000 |         0.1 |iter: 0/100\r",
      "      2.5 | 2.5000e-06 | 5.0000e-04 |           3 |     1200000 |            1 |        2000 |         0.1 |iter: 1/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "      2.5 | 1.6667e-06 | 3.3333e-04 |           3 |     1800000 |            1 |        3000 |         0.2 |iter: 2/100\r",
      "      2.5 | 1.2500e-06 | 2.5000e-04 |           3 |     2400000 |            1 |        4000 |         0.2 |iter: 3/100\r",
      "      2.5 | 1.0000e-06 | 2.0000e-04 |           3 |     3000000 |            1 |        5000 |         0.3 |iter: 4/100\r",
      "      2.5 | 8.3333e-07 | 1.6667e-04 |           3 |     3600000 |            1 |        6000 |         0.3 |iter: 5/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "      2.5 | 7.1429e-07 | 1.4286e-04 |           3 |     4200000 |            1 |        7000 |         0.4 |iter: 6/100\r",
      "      2.5 | 1.0417e-06 | 2.5000e-04 |           5 |     4800000 |            2 |        8000 |         0.4 |iter: 7/100\r",
      "      2.5 | 9.2593e-07 | 2.2222e-04 |           5 |     5400000 |            2 |        9000 |         0.5 |iter: 8/100\r",
      "      2.5 | 8.3333e-07 | 2.0000e-04 |           5 |     6000000 |            2 |       10000 |         0.5 |iter: 9/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "      2.5 | 7.5758e-07 | 1.8182e-04 |           5 |     6600000 |            2 |       11000 |         0.6 |iter: 10/100\r",
      "      2.5 | 6.9444e-07 | 1.6667e-04 |           5 |     7200000 |            2 |       12000 |         0.6 |iter: 11/100\r",
      "      2.5 | 6.4103e-07 | 1.5385e-04 |           5 |     7800000 |            2 |       13000 |         0.7 |iter: 12/100\r",
      "      2.5 | 5.9524e-07 | 1.4286e-04 |           5 |     8400000 |            2 |       14000 |         0.7 |iter: 13/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "      2.5 | 5.5556e-07 | 1.3333e-04 |           5 |     9000000 |            2 |       15000 |         0.8 |iter: 14/100\r",
      "      2.5 | 5.2083e-07 | 1.2500e-04 |           5 |     9600000 |            2 |       16000 |         0.9 |iter: 15/100\r",
      "      2.5 | 4.9020e-07 | 1.1765e-04 |           5 |    10200000 |            2 |       17000 |         0.9 |iter: 16/100\r",
      "      2.5 | 4.6296e-07 | 1.1111e-04 |           5 |    10800000 |            2 |       18000 |         1.0 |iter: 17/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "      2.5 | 4.3860e-07 | 1.0526e-04 |           5 |    11400000 |            2 |       19000 |         1.0 |iter: 18/100\r",
      "      2.5 | 4.1667e-07 | 1.0000e-04 |           5 |    12000000 |            2 |       20000 |         1.1 |iter: 19/100\r",
      "      2.5 | 3.9683e-07 | 9.5238e-05 |           5 |    12600000 |            2 |       21000 |         1.1 |iter: 20/100\r",
      "      2.5 | 3.7879e-07 | 9.0909e-05 |           5 |    13200000 |            2 |       22000 |         1.2 |iter: 21/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "      2.5 | 3.6232e-07 | 8.6957e-05 |           5 |    13800000 |            2 |       23000 |         1.2 |iter: 22/100\r",
      "      2.5 | 3.4722e-07 | 8.3333e-05 |           5 |    14400000 |            2 |       24000 |         1.3 |iter: 23/100\r",
      "      2.5 | 3.3333e-07 | 8.0000e-05 |           5 |    15000000 |            2 |       25000 |         1.3 |iter: 24/100\r",
      "      2.5 | 3.2051e-07 | 7.6923e-05 |           5 |    15600000 |            2 |       26000 |         1.4 |iter: 25/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "      2.5 | 3.0864e-07 | 7.4074e-05 |           5 |    16200000 |            2 |       27000 |         1.4 |iter: 26/100\r",
      "      2.5 | 2.9762e-07 | 7.1429e-05 |           5 |    16800000 |            2 |       28000 |         1.5 |iter: 27/100\r",
      "      2.5 | 2.8736e-07 | 6.8966e-05 |           5 |    17400000 |            2 |       29000 |         1.5 |iter: 28/100\r",
      "      2.5 | 2.7778e-07 | 6.6667e-05 |           5 |    18000000 |            2 |       30000 |         1.6 |iter: 29/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "      2.5 | 2.6882e-07 | 6.4516e-05 |           5 |    18600000 |            2 |       31000 |         1.6 |iter: 30/100\r",
      "      2.5 | 2.6042e-07 | 6.2500e-05 |           5 |    19200000 |            2 |       32000 |         1.7 |iter: 31/100\r",
      "      2.5 | 2.5253e-07 | 6.0606e-05 |           5 |    19800000 |            2 |       33000 |         1.8 |iter: 32/100\r",
      "      2.5 | 2.4510e-07 | 5.8824e-05 |           5 |    20400000 |            2 |       34000 |         1.8 |iter: 33/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "      2.5 | 2.3810e-07 | 5.7143e-05 |           5 |    21000000 |            2 |       35000 |         1.9 |iter: 34/100\r",
      "      2.5 | 2.3148e-07 | 5.5556e-05 |           5 |    21600000 |            2 |       36000 |         1.9 |iter: 35/100\r",
      "      2.5 | 2.2523e-07 | 5.4054e-05 |           5 |    22200000 |            2 |       37000 |         2.0 |iter: 36/100\r",
      "      2.5 | 2.1930e-07 | 5.2632e-05 |           5 |    22800000 |            2 |       38000 |         2.0 |iter: 37/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "      2.5 | 2.1368e-07 | 5.1282e-05 |           5 |    23400000 |            2 |       39000 |         2.1 |iter: 38/100\r",
      "      2.5 | 2.0833e-07 | 5.0000e-05 |           5 |    24000000 |            2 |       40000 |         2.1 |iter: 39/100\r",
      "      2.5 | 2.0325e-07 | 4.8780e-05 |           5 |    24600000 |            2 |       41000 |         2.2 |iter: 40/100\r",
      "      2.5 | 1.9841e-07 | 4.7619e-05 |           5 |    25200000 |            2 |       42000 |         2.2 |iter: 41/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "      2.5 | 1.9380e-07 | 4.6512e-05 |           5 |    25800000 |            2 |       43000 |         2.3 |iter: 42/100\r",
      "      2.5 | 1.8939e-07 | 4.5455e-05 |           5 |    26400000 |            2 |       44000 |         2.3 |iter: 43/100\r",
      "      2.5 | 1.8519e-07 | 4.4444e-05 |           5 |    27000000 |            2 |       45000 |         2.4 |iter: 44/100\r",
      "      2.5 | 1.8116e-07 | 4.3478e-05 |           5 |    27600000 |            2 |       46000 |         2.4 |iter: 45/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "      2.5 | 1.7730e-07 | 4.2553e-05 |           5 |    28200000 |            2 |       47000 |         2.5 |iter: 46/100\r",
      "      2.5 | 1.7361e-07 | 4.1667e-05 |           5 |    28800000 |            2 |       48000 |         2.6 |iter: 47/100\r",
      "      2.5 | 1.7007e-07 | 4.0816e-05 |           5 |    29400000 |            2 |       49000 |         2.6 |iter: 48/100\r",
      "      2.5 | 1.6667e-07 | 4.0000e-05 |           5 |    30000000 |            2 |       50000 |         2.7 |iter: 49/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "      2.5 | 1.6340e-07 | 3.9216e-05 |           5 |    30600000 |            2 |       51000 |         2.7 |iter: 50/100\r",
      "      2.5 | 1.6026e-07 | 3.8462e-05 |           5 |    31200000 |            2 |       52000 |         2.8 |iter: 51/100\r",
      "      2.5 | 1.5723e-07 | 3.7736e-05 |           5 |    31800000 |            2 |       53000 |         2.8 |iter: 52/100\r",
      "      2.5 | 1.5432e-07 | 3.7037e-05 |           5 |    32400000 |            2 |       54000 |         2.9 |iter: 53/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "      2.5 | 1.8182e-07 | 5.4545e-05 |           6 |    33000000 |            3 |       55000 |         2.9 |iter: 54/100\r",
      "      2.5 | 1.7857e-07 | 5.3571e-05 |           6 |    33600000 |            3 |       56000 |         3.0 |iter: 55/100\r",
      "      2.5 | 1.7544e-07 | 5.2632e-05 |           6 |    34200000 |            3 |       57000 |         3.0 |iter: 56/100\r",
      "      2.5 | 1.7241e-07 | 5.1724e-05 |           6 |    34800000 |            3 |       58000 |         3.1 |iter: 57/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "      2.5 | 1.6949e-07 | 5.0847e-05 |           6 |    35400000 |            3 |       59000 |         3.1 |iter: 58/100\r",
      "      2.5 | 1.6667e-07 | 5.0000e-05 |           6 |    36000000 |            3 |       60000 |         3.2 |iter: 59/100\r",
      "      2.5 | 1.6393e-07 | 4.9180e-05 |           6 |    36600000 |            3 |       61000 |         3.2 |iter: 60/100\r",
      "      2.5 | 1.6129e-07 | 4.8387e-05 |           6 |    37200000 |            3 |       62000 |         3.3 |iter: 61/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "      2.5 | 1.8519e-07 | 6.3492e-05 |           7 |    37800000 |            4 |       63000 |         3.4 |iter: 62/100\r",
      "      2.5 | 1.8229e-07 | 6.2500e-05 |           7 |    38400000 |            4 |       64000 |         3.4 |iter: 63/100\r",
      "      2.5 | 1.7949e-07 | 6.1538e-05 |           7 |    39000000 |            4 |       65000 |         3.5 |iter: 64/100\r",
      "      2.5 | 1.7677e-07 | 6.0606e-05 |           7 |    39600000 |            4 |       66000 |         3.5 |iter: 65/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "      2.5 | 1.7413e-07 | 5.9701e-05 |           7 |    40200000 |            4 |       67000 |         3.6 |iter: 66/100\r",
      "      2.5 | 1.7157e-07 | 5.8824e-05 |           7 |    40800000 |            4 |       68000 |         3.6 |iter: 67/100\r",
      "      2.5 | 1.6908e-07 | 5.7971e-05 |           7 |    41400000 |            4 |       69000 |         3.7 |iter: 68/100\r",
      "      2.5 | 1.6667e-07 | 5.7143e-05 |           7 |    42000000 |            4 |       70000 |         3.7 |iter: 69/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "      2.5 | 1.6432e-07 | 5.6338e-05 |           7 |    42600000 |            4 |       71000 |         3.8 |iter: 70/100\r",
      "      2.5 | 1.6204e-07 | 5.5556e-05 |           7 |    43200000 |            4 |       72000 |         3.8 |iter: 71/100\r",
      "      2.5 | 1.5982e-07 | 5.4795e-05 |           7 |    43800000 |            4 |       73000 |         3.9 |iter: 72/100\r",
      "      2.5 | 1.5766e-07 | 5.4054e-05 |           7 |    44400000 |            4 |       74000 |         3.9 |iter: 73/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "      2.5 | 1.5556e-07 | 5.3333e-05 |           7 |    45000000 |            4 |       75000 |         4.0 |iter: 74/100\r",
      "      2.5 | 1.5351e-07 | 5.2632e-05 |           7 |    45600000 |            4 |       76000 |         4.0 |iter: 75/100\r",
      "      2.5 | 1.5152e-07 | 5.1948e-05 |           7 |    46200000 |            4 |       77000 |         4.1 |iter: 76/100\r",
      "      2.5 | 1.4957e-07 | 5.1282e-05 |           7 |    46800000 |            4 |       78000 |         4.1 |iter: 77/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "      2.5 | 1.4768e-07 | 5.0633e-05 |           7 |    47400000 |            4 |       79000 |         4.2 |iter: 78/100\r",
      "      2.5 | 1.4583e-07 | 5.0000e-05 |           7 |    48000000 |            4 |       80000 |         4.3 |iter: 79/100\r",
      "      2.5 | 1.4403e-07 | 4.9383e-05 |           7 |    48600000 |            4 |       81000 |         4.3 |iter: 80/100\r",
      "      2.5 | 1.4228e-07 | 4.8780e-05 |           7 |    49200000 |            4 |       82000 |         4.4 |iter: 81/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "      2.5 | 1.4056e-07 | 4.8193e-05 |           7 |    49800000 |            4 |       83000 |         4.4 |iter: 82/100\r",
      "      2.5 | 1.3889e-07 | 4.7619e-05 |           7 |    50400000 |            4 |       84000 |         4.5 |iter: 83/100\r",
      "      2.5 | 1.3725e-07 | 4.7059e-05 |           7 |    51000000 |            4 |       85000 |         4.5 |iter: 84/100\r",
      "      2.5 | 1.3566e-07 | 4.6512e-05 |           7 |    51600000 |            4 |       86000 |         4.6 |iter: 85/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "      2.5 | 1.3410e-07 | 4.5977e-05 |           7 |    52200000 |            4 |       87000 |         4.6 |iter: 86/100\r",
      "      2.5 | 1.3258e-07 | 4.5455e-05 |           7 |    52800000 |            4 |       88000 |         4.7 |iter: 87/100\r",
      "      2.5 | 1.3109e-07 | 4.4944e-05 |           7 |    53400000 |            4 |       89000 |         4.7 |iter: 88/100\r",
      "      2.5 | 1.2963e-07 | 4.4444e-05 |           7 |    54000000 |            4 |       90000 |         4.8 |iter: 89/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "      2.5 | 2.7473e-07 | 5.4945e-05 |          15 |    54600000 |            5 |       91000 |         4.8 |iter: 90/100\r",
      "      2.5 | 2.8986e-07 | 6.5217e-05 |          16 |    55200000 |            6 |       92000 |         4.9 |iter: 91/100\r",
      "      2.5 | 2.8674e-07 | 6.4516e-05 |          16 |    55800000 |            6 |       93000 |         4.9 |iter: 92/100\r",
      "      2.5 | 2.8369e-07 | 6.3830e-05 |          16 |    56400000 |            6 |       94000 |         5.0 |iter: 93/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "      2.5 | 2.8070e-07 | 6.3158e-05 |          16 |    57000000 |            6 |       95000 |         5.1 |iter: 94/100\r",
      "      2.5 | 2.7778e-07 | 6.2500e-05 |          16 |    57600000 |            6 |       96000 |         5.1 |iter: 95/100\r",
      "      2.5 | 2.7491e-07 | 6.1856e-05 |          16 |    58200000 |            6 |       97000 |         5.2 |iter: 96/100\r",
      "      2.5 | 2.7211e-07 | 6.1224e-05 |          16 |    58800000 |            6 |       98000 |         5.2 |iter: 97/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "      2.5 | 2.6936e-07 | 6.0606e-05 |          16 |    59400000 |            6 |       99000 |         5.3 |iter: 98/100\r",
      "      2.5 | 2.6667e-07 | 6.0000e-05 |          16 |    60000000 |            6 |      100000 |         5.3 |iter: 99/100\r",
      "      2.5 | 2.6667e-07 | 6.0000e-05 |          16 |    60000000 |            6 |      100000 |         5.3 |reached max iterations\n",
      "     2.75 | 0.0000e+00 | 0.0000e+00 |           0 |      600000 |            0 |        1000 |         0.1 |iter: 0/100\r",
      "     2.75 | 0.0000e+00 | 0.0000e+00 |           0 |     1200000 |            0 |        2000 |         0.1 |iter: 1/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     2.75 | 0.0000e+00 | 0.0000e+00 |           0 |     1800000 |            0 |        3000 |         0.2 |iter: 2/100\r",
      "     2.75 | 0.0000e+00 | 0.0000e+00 |           0 |     2400000 |            0 |        4000 |         0.2 |iter: 3/100\r",
      "     2.75 | 0.0000e+00 | 0.0000e+00 |           0 |     3000000 |            0 |        5000 |         0.3 |iter: 4/100\r",
      "     2.75 | 0.0000e+00 | 0.0000e+00 |           0 |     3600000 |            0 |        6000 |         0.3 |iter: 5/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     2.75 | 0.0000e+00 | 0.0000e+00 |           0 |     4200000 |            0 |        7000 |         0.4 |iter: 6/100\r",
      "     2.75 | 0.0000e+00 | 0.0000e+00 |           0 |     4800000 |            0 |        8000 |         0.4 |iter: 7/100\r",
      "     2.75 | 0.0000e+00 | 0.0000e+00 |           0 |     5400000 |            0 |        9000 |         0.5 |iter: 8/100\r",
      "     2.75 | 0.0000e+00 | 0.0000e+00 |           0 |     6000000 |            0 |       10000 |         0.5 |iter: 9/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     2.75 | 0.0000e+00 | 0.0000e+00 |           0 |     6600000 |            0 |       11000 |         0.6 |iter: 10/100\r",
      "     2.75 | 0.0000e+00 | 0.0000e+00 |           0 |     7200000 |            0 |       12000 |         0.6 |iter: 11/100\r",
      "     2.75 | 0.0000e+00 | 0.0000e+00 |           0 |     7800000 |            0 |       13000 |         0.7 |iter: 12/100\r",
      "     2.75 | 0.0000e+00 | 0.0000e+00 |           0 |     8400000 |            0 |       14000 |         0.7 |iter: 13/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     2.75 | 0.0000e+00 | 0.0000e+00 |           0 |     9000000 |            0 |       15000 |         0.8 |iter: 14/100\r",
      "     2.75 | 0.0000e+00 | 0.0000e+00 |           0 |     9600000 |            0 |       16000 |         0.9 |iter: 15/100\r",
      "     2.75 | 0.0000e+00 | 0.0000e+00 |           0 |    10200000 |            0 |       17000 |         0.9 |iter: 16/100\r",
      "     2.75 | 0.0000e+00 | 0.0000e+00 |           0 |    10800000 |            0 |       18000 |         1.0 |iter: 17/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     2.75 | 0.0000e+00 | 0.0000e+00 |           0 |    11400000 |            0 |       19000 |         1.0 |iter: 18/100\r",
      "     2.75 | 0.0000e+00 | 0.0000e+00 |           0 |    12000000 |            0 |       20000 |         1.1 |iter: 19/100\r",
      "     2.75 | 0.0000e+00 | 0.0000e+00 |           0 |    12600000 |            0 |       21000 |         1.1 |iter: 20/100\r",
      "     2.75 | 0.0000e+00 | 0.0000e+00 |           0 |    13200000 |            0 |       22000 |         1.2 |iter: 21/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     2.75 | 0.0000e+00 | 0.0000e+00 |           0 |    13800000 |            0 |       23000 |         1.2 |iter: 22/100\r",
      "     2.75 | 0.0000e+00 | 0.0000e+00 |           0 |    14400000 |            0 |       24000 |         1.3 |iter: 23/100\r",
      "     2.75 | 0.0000e+00 | 0.0000e+00 |           0 |    15000000 |            0 |       25000 |         1.3 |iter: 24/100\r",
      "     2.75 | 0.0000e+00 | 0.0000e+00 |           0 |    15600000 |            0 |       26000 |         1.4 |iter: 25/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     2.75 | 0.0000e+00 | 0.0000e+00 |           0 |    16200000 |            0 |       27000 |         1.4 |iter: 26/100\r",
      "     2.75 | 0.0000e+00 | 0.0000e+00 |           0 |    16800000 |            0 |       28000 |         1.5 |iter: 27/100\r",
      "     2.75 | 0.0000e+00 | 0.0000e+00 |           0 |    17400000 |            0 |       29000 |         1.5 |iter: 28/100\r",
      "     2.75 | 0.0000e+00 | 0.0000e+00 |           0 |    18000000 |            0 |       30000 |         1.6 |iter: 29/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     2.75 | 0.0000e+00 | 0.0000e+00 |           0 |    18600000 |            0 |       31000 |         1.6 |iter: 30/100\r",
      "     2.75 | 0.0000e+00 | 0.0000e+00 |           0 |    19200000 |            0 |       32000 |         1.7 |iter: 31/100\r",
      "     2.75 | 0.0000e+00 | 0.0000e+00 |           0 |    19800000 |            0 |       33000 |         1.8 |iter: 32/100\r",
      "     2.75 | 0.0000e+00 | 0.0000e+00 |           0 |    20400000 |            0 |       34000 |         1.8 |iter: 33/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     2.75 | 0.0000e+00 | 0.0000e+00 |           0 |    21000000 |            0 |       35000 |         1.9 |iter: 34/100\r",
      "     2.75 | 0.0000e+00 | 0.0000e+00 |           0 |    21600000 |            0 |       36000 |         1.9 |iter: 35/100\r",
      "     2.75 | 0.0000e+00 | 0.0000e+00 |           0 |    22200000 |            0 |       37000 |         2.0 |iter: 36/100\r",
      "     2.75 | 0.0000e+00 | 0.0000e+00 |           0 |    22800000 |            0 |       38000 |         2.0 |iter: 37/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     2.75 | 0.0000e+00 | 0.0000e+00 |           0 |    23400000 |            0 |       39000 |         2.1 |iter: 38/100\r",
      "     2.75 | 0.0000e+00 | 0.0000e+00 |           0 |    24000000 |            0 |       40000 |         2.1 |iter: 39/100\r",
      "     2.75 | 0.0000e+00 | 0.0000e+00 |           0 |    24600000 |            0 |       41000 |         2.2 |iter: 40/100\r",
      "     2.75 | 0.0000e+00 | 0.0000e+00 |           0 |    25200000 |            0 |       42000 |         2.2 |iter: 41/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     2.75 | 0.0000e+00 | 0.0000e+00 |           0 |    25800000 |            0 |       43000 |         2.3 |iter: 42/100\r",
      "     2.75 | 0.0000e+00 | 0.0000e+00 |           0 |    26400000 |            0 |       44000 |         2.3 |iter: 43/100\r",
      "     2.75 | 0.0000e+00 | 0.0000e+00 |           0 |    27000000 |            0 |       45000 |         2.4 |iter: 44/100\r",
      "     2.75 | 0.0000e+00 | 0.0000e+00 |           0 |    27600000 |            0 |       46000 |         2.4 |iter: 45/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     2.75 | 0.0000e+00 | 0.0000e+00 |           0 |    28200000 |            0 |       47000 |         2.5 |iter: 46/100\r",
      "     2.75 | 0.0000e+00 | 0.0000e+00 |           0 |    28800000 |            0 |       48000 |         2.6 |iter: 47/100\r",
      "     2.75 | 0.0000e+00 | 0.0000e+00 |           0 |    29400000 |            0 |       49000 |         2.6 |iter: 48/100\r",
      "     2.75 | 0.0000e+00 | 0.0000e+00 |           0 |    30000000 |            0 |       50000 |         2.7 |iter: 49/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     2.75 | 0.0000e+00 | 0.0000e+00 |           0 |    30600000 |            0 |       51000 |         2.7 |iter: 50/100\r",
      "     2.75 | 0.0000e+00 | 0.0000e+00 |           0 |    31200000 |            0 |       52000 |         2.8 |iter: 51/100\r",
      "     2.75 | 0.0000e+00 | 0.0000e+00 |           0 |    31800000 |            0 |       53000 |         2.8 |iter: 52/100\r",
      "     2.75 | 0.0000e+00 | 0.0000e+00 |           0 |    32400000 |            0 |       54000 |         2.9 |iter: 53/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     2.75 | 0.0000e+00 | 0.0000e+00 |           0 |    33000000 |            0 |       55000 |         2.9 |iter: 54/100\r",
      "     2.75 | 0.0000e+00 | 0.0000e+00 |           0 |    33600000 |            0 |       56000 |         3.0 |iter: 55/100\r",
      "     2.75 | 0.0000e+00 | 0.0000e+00 |           0 |    34200000 |            0 |       57000 |         3.0 |iter: 56/100\r",
      "     2.75 | 0.0000e+00 | 0.0000e+00 |           0 |    34800000 |            0 |       58000 |         3.1 |iter: 57/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     2.75 | 0.0000e+00 | 0.0000e+00 |           0 |    35400000 |            0 |       59000 |         3.1 |iter: 58/100\r",
      "     2.75 | 0.0000e+00 | 0.0000e+00 |           0 |    36000000 |            0 |       60000 |         3.2 |iter: 59/100\r",
      "     2.75 | 0.0000e+00 | 0.0000e+00 |           0 |    36600000 |            0 |       61000 |         3.2 |iter: 60/100\r",
      "     2.75 | 0.0000e+00 | 0.0000e+00 |           0 |    37200000 |            0 |       62000 |         3.3 |iter: 61/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     2.75 | 0.0000e+00 | 0.0000e+00 |           0 |    37800000 |            0 |       63000 |         3.3 |iter: 62/100\r",
      "     2.75 | 0.0000e+00 | 0.0000e+00 |           0 |    38400000 |            0 |       64000 |         3.4 |iter: 63/100\r",
      "     2.75 | 0.0000e+00 | 0.0000e+00 |           0 |    39000000 |            0 |       65000 |         3.5 |iter: 64/100\r",
      "     2.75 | 0.0000e+00 | 0.0000e+00 |           0 |    39600000 |            0 |       66000 |         3.5 |iter: 65/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     2.75 | 0.0000e+00 | 0.0000e+00 |           0 |    40200000 |            0 |       67000 |         3.6 |iter: 66/100\r",
      "     2.75 | 0.0000e+00 | 0.0000e+00 |           0 |    40800000 |            0 |       68000 |         3.6 |iter: 67/100\r",
      "     2.75 | 0.0000e+00 | 0.0000e+00 |           0 |    41400000 |            0 |       69000 |         3.7 |iter: 68/100\r",
      "     2.75 | 0.0000e+00 | 0.0000e+00 |           0 |    42000000 |            0 |       70000 |         3.7 |iter: 69/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     2.75 | 0.0000e+00 | 0.0000e+00 |           0 |    42600000 |            0 |       71000 |         3.8 |iter: 70/100\r",
      "     2.75 | 0.0000e+00 | 0.0000e+00 |           0 |    43200000 |            0 |       72000 |         3.8 |iter: 71/100\r",
      "     2.75 | 1.8265e-07 | 1.3699e-05 |           8 |    43800000 |            1 |       73000 |         3.9 |iter: 72/100\r",
      "     2.75 | 1.8018e-07 | 1.3514e-05 |           8 |    44400000 |            1 |       74000 |         3.9 |iter: 73/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     2.75 | 1.7778e-07 | 1.3333e-05 |           8 |    45000000 |            1 |       75000 |         4.0 |iter: 74/100\r",
      "     2.75 | 1.7544e-07 | 1.3158e-05 |           8 |    45600000 |            1 |       76000 |         4.0 |iter: 75/100\r",
      "     2.75 | 1.7316e-07 | 1.2987e-05 |           8 |    46200000 |            1 |       77000 |         4.1 |iter: 76/100\r",
      "     2.75 | 1.7094e-07 | 1.2821e-05 |           8 |    46800000 |            1 |       78000 |         4.1 |iter: 77/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     2.75 | 1.6878e-07 | 1.2658e-05 |           8 |    47400000 |            1 |       79000 |         4.2 |iter: 78/100\r",
      "     2.75 | 1.6667e-07 | 1.2500e-05 |           8 |    48000000 |            1 |       80000 |         4.3 |iter: 79/100\r",
      "     2.75 | 1.6461e-07 | 1.2346e-05 |           8 |    48600000 |            1 |       81000 |         4.3 |iter: 80/100\r",
      "     2.75 | 1.6260e-07 | 1.2195e-05 |           8 |    49200000 |            1 |       82000 |         4.4 |iter: 81/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     2.75 | 1.6064e-07 | 1.2048e-05 |           8 |    49800000 |            1 |       83000 |         4.4 |iter: 82/100\r",
      "     2.75 | 1.5873e-07 | 1.1905e-05 |           8 |    50400000 |            1 |       84000 |         4.5 |iter: 83/100\r",
      "     2.75 | 1.5686e-07 | 1.1765e-05 |           8 |    51000000 |            1 |       85000 |         4.5 |iter: 84/100\r",
      "     2.75 | 1.5504e-07 | 1.1628e-05 |           8 |    51600000 |            1 |       86000 |         4.6 |iter: 85/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     2.75 | 1.5326e-07 | 1.1494e-05 |           8 |    52200000 |            1 |       87000 |         4.6 |iter: 86/100\r",
      "     2.75 | 1.5152e-07 | 1.1364e-05 |           8 |    52800000 |            1 |       88000 |         4.7 |iter: 87/100\r",
      "     2.75 | 1.4981e-07 | 1.1236e-05 |           8 |    53400000 |            1 |       89000 |         4.7 |iter: 88/100\r",
      "     2.75 | 1.4815e-07 | 1.1111e-05 |           8 |    54000000 |            1 |       90000 |         4.8 |iter: 89/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     2.75 | 1.4652e-07 | 1.0989e-05 |           8 |    54600000 |            1 |       91000 |         4.8 |iter: 90/100\r",
      "     2.75 | 1.4493e-07 | 1.0870e-05 |           8 |    55200000 |            1 |       92000 |         4.9 |iter: 91/100\r",
      "     2.75 | 1.4337e-07 | 1.0753e-05 |           8 |    55800000 |            1 |       93000 |         4.9 |iter: 92/100\r",
      "     2.75 | 1.4184e-07 | 1.0638e-05 |           8 |    56400000 |            1 |       94000 |         5.0 |iter: 93/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     2.75 | 1.4035e-07 | 1.0526e-05 |           8 |    57000000 |            1 |       95000 |         5.1 |iter: 94/100\r",
      "     2.75 | 1.3889e-07 | 1.0417e-05 |           8 |    57600000 |            1 |       96000 |         5.1 |iter: 95/100\r",
      "     2.75 | 1.3746e-07 | 1.0309e-05 |           8 |    58200000 |            1 |       97000 |         5.2 |iter: 96/100\r",
      "     2.75 | 1.3605e-07 | 1.0204e-05 |           8 |    58800000 |            1 |       98000 |         5.2 |iter: 97/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     2.75 | 1.3468e-07 | 1.0101e-05 |           8 |    59400000 |            1 |       99000 |         5.3 |iter: 98/100\r",
      "     2.75 | 1.3333e-07 | 1.0000e-05 |           8 |    60000000 |            1 |      100000 |         5.3 |iter: 99/100\r",
      "     2.75 | 1.3333e-07 | 1.0000e-05 |           8 |    60000000 |            1 |      100000 |         5.3 |reached max iterations\n",
      "      3.0 | 0.0000e+00 | 0.0000e+00 |           0 |      600000 |            0 |        1000 |         0.1 |iter: 0/100\r",
      "      3.0 | 0.0000e+00 | 0.0000e+00 |           0 |     1200000 |            0 |        2000 |         0.1 |iter: 1/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "      3.0 | 0.0000e+00 | 0.0000e+00 |           0 |     1800000 |            0 |        3000 |         0.2 |iter: 2/100\r",
      "      3.0 | 0.0000e+00 | 0.0000e+00 |           0 |     2400000 |            0 |        4000 |         0.2 |iter: 3/100\r",
      "      3.0 | 0.0000e+00 | 0.0000e+00 |           0 |     3000000 |            0 |        5000 |         0.3 |iter: 4/100\r",
      "      3.0 | 0.0000e+00 | 0.0000e+00 |           0 |     3600000 |            0 |        6000 |         0.3 |iter: 5/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "      3.0 | 0.0000e+00 | 0.0000e+00 |           0 |     4200000 |            0 |        7000 |         0.4 |iter: 6/100\r",
      "      3.0 | 0.0000e+00 | 0.0000e+00 |           0 |     4800000 |            0 |        8000 |         0.4 |iter: 7/100\r",
      "      3.0 | 0.0000e+00 | 0.0000e+00 |           0 |     5400000 |            0 |        9000 |         0.5 |iter: 8/100\r",
      "      3.0 | 0.0000e+00 | 0.0000e+00 |           0 |     6000000 |            0 |       10000 |         0.5 |iter: 9/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "      3.0 | 0.0000e+00 | 0.0000e+00 |           0 |     6600000 |            0 |       11000 |         0.6 |iter: 10/100\r",
      "      3.0 | 0.0000e+00 | 0.0000e+00 |           0 |     7200000 |            0 |       12000 |         0.6 |iter: 11/100\r",
      "      3.0 | 0.0000e+00 | 0.0000e+00 |           0 |     7800000 |            0 |       13000 |         0.7 |iter: 12/100\r",
      "      3.0 | 0.0000e+00 | 0.0000e+00 |           0 |     8400000 |            0 |       14000 |         0.7 |iter: 13/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "      3.0 | 0.0000e+00 | 0.0000e+00 |           0 |     9000000 |            0 |       15000 |         0.8 |iter: 14/100\r",
      "      3.0 | 0.0000e+00 | 0.0000e+00 |           0 |     9600000 |            0 |       16000 |         0.9 |iter: 15/100\r",
      "      3.0 | 0.0000e+00 | 0.0000e+00 |           0 |    10200000 |            0 |       17000 |         0.9 |iter: 16/100\r",
      "      3.0 | 0.0000e+00 | 0.0000e+00 |           0 |    10800000 |            0 |       18000 |         1.0 |iter: 17/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "      3.0 | 0.0000e+00 | 0.0000e+00 |           0 |    11400000 |            0 |       19000 |         1.0 |iter: 18/100\r",
      "      3.0 | 0.0000e+00 | 0.0000e+00 |           0 |    12000000 |            0 |       20000 |         1.1 |iter: 19/100\r",
      "      3.0 | 0.0000e+00 | 0.0000e+00 |           0 |    12600000 |            0 |       21000 |         1.1 |iter: 20/100\r",
      "      3.0 | 0.0000e+00 | 0.0000e+00 |           0 |    13200000 |            0 |       22000 |         1.2 |iter: 21/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "      3.0 | 0.0000e+00 | 0.0000e+00 |           0 |    13800000 |            0 |       23000 |         1.2 |iter: 22/100\r",
      "      3.0 | 0.0000e+00 | 0.0000e+00 |           0 |    14400000 |            0 |       24000 |         1.3 |iter: 23/100\r",
      "      3.0 | 0.0000e+00 | 0.0000e+00 |           0 |    15000000 |            0 |       25000 |         1.3 |iter: 24/100\r",
      "      3.0 | 0.0000e+00 | 0.0000e+00 |           0 |    15600000 |            0 |       26000 |         1.4 |iter: 25/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "      3.0 | 0.0000e+00 | 0.0000e+00 |           0 |    16200000 |            0 |       27000 |         1.4 |iter: 26/100\r",
      "      3.0 | 0.0000e+00 | 0.0000e+00 |           0 |    16800000 |            0 |       28000 |         1.5 |iter: 27/100\r",
      "      3.0 | 0.0000e+00 | 0.0000e+00 |           0 |    17400000 |            0 |       29000 |         1.5 |iter: 28/100\r",
      "      3.0 | 0.0000e+00 | 0.0000e+00 |           0 |    18000000 |            0 |       30000 |         1.6 |iter: 29/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "      3.0 | 0.0000e+00 | 0.0000e+00 |           0 |    18600000 |            0 |       31000 |         1.6 |iter: 30/100\r",
      "      3.0 | 0.0000e+00 | 0.0000e+00 |           0 |    19200000 |            0 |       32000 |         1.7 |iter: 31/100\r",
      "      3.0 | 0.0000e+00 | 0.0000e+00 |           0 |    19800000 |            0 |       33000 |         1.8 |iter: 32/100\r",
      "      3.0 | 0.0000e+00 | 0.0000e+00 |           0 |    20400000 |            0 |       34000 |         1.8 |iter: 33/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "      3.0 | 0.0000e+00 | 0.0000e+00 |           0 |    21000000 |            0 |       35000 |         1.9 |iter: 34/100\r",
      "      3.0 | 0.0000e+00 | 0.0000e+00 |           0 |    21600000 |            0 |       36000 |         1.9 |iter: 35/100\r",
      "      3.0 | 0.0000e+00 | 0.0000e+00 |           0 |    22200000 |            0 |       37000 |         2.0 |iter: 36/100\r",
      "      3.0 | 0.0000e+00 | 0.0000e+00 |           0 |    22800000 |            0 |       38000 |         2.0 |iter: 37/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "      3.0 | 0.0000e+00 | 0.0000e+00 |           0 |    23400000 |            0 |       39000 |         2.1 |iter: 38/100\r",
      "      3.0 | 0.0000e+00 | 0.0000e+00 |           0 |    24000000 |            0 |       40000 |         2.1 |iter: 39/100\r",
      "      3.0 | 0.0000e+00 | 0.0000e+00 |           0 |    24600000 |            0 |       41000 |         2.2 |iter: 40/100\r",
      "      3.0 | 0.0000e+00 | 0.0000e+00 |           0 |    25200000 |            0 |       42000 |         2.2 |iter: 41/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "      3.0 | 0.0000e+00 | 0.0000e+00 |           0 |    25800000 |            0 |       43000 |         2.3 |iter: 42/100\r",
      "      3.0 | 0.0000e+00 | 0.0000e+00 |           0 |    26400000 |            0 |       44000 |         2.3 |iter: 43/100\r",
      "      3.0 | 0.0000e+00 | 0.0000e+00 |           0 |    27000000 |            0 |       45000 |         2.4 |iter: 44/100\r",
      "      3.0 | 0.0000e+00 | 0.0000e+00 |           0 |    27600000 |            0 |       46000 |         2.4 |iter: 45/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "      3.0 | 0.0000e+00 | 0.0000e+00 |           0 |    28200000 |            0 |       47000 |         2.5 |iter: 46/100\r",
      "      3.0 | 0.0000e+00 | 0.0000e+00 |           0 |    28800000 |            0 |       48000 |         2.6 |iter: 47/100\r",
      "      3.0 | 0.0000e+00 | 0.0000e+00 |           0 |    29400000 |            0 |       49000 |         2.6 |iter: 48/100\r",
      "      3.0 | 0.0000e+00 | 0.0000e+00 |           0 |    30000000 |            0 |       50000 |         2.7 |iter: 49/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "      3.0 | 0.0000e+00 | 0.0000e+00 |           0 |    30600000 |            0 |       51000 |         2.7 |iter: 50/100\r",
      "      3.0 | 0.0000e+00 | 0.0000e+00 |           0 |    31200000 |            0 |       52000 |         2.8 |iter: 51/100\r",
      "      3.0 | 0.0000e+00 | 0.0000e+00 |           0 |    31800000 |            0 |       53000 |         2.8 |iter: 52/100\r",
      "      3.0 | 0.0000e+00 | 0.0000e+00 |           0 |    32400000 |            0 |       54000 |         2.9 |iter: 53/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "      3.0 | 0.0000e+00 | 0.0000e+00 |           0 |    33000000 |            0 |       55000 |         2.9 |iter: 54/100\r",
      "      3.0 | 0.0000e+00 | 0.0000e+00 |           0 |    33600000 |            0 |       56000 |         3.0 |iter: 55/100\r",
      "      3.0 | 0.0000e+00 | 0.0000e+00 |           0 |    34200000 |            0 |       57000 |         3.0 |iter: 56/100\r",
      "      3.0 | 0.0000e+00 | 0.0000e+00 |           0 |    34800000 |            0 |       58000 |         3.1 |iter: 57/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "      3.0 | 0.0000e+00 | 0.0000e+00 |           0 |    35400000 |            0 |       59000 |         3.1 |iter: 58/100\r",
      "      3.0 | 0.0000e+00 | 0.0000e+00 |           0 |    36000000 |            0 |       60000 |         3.2 |iter: 59/100\r",
      "      3.0 | 0.0000e+00 | 0.0000e+00 |           0 |    36600000 |            0 |       61000 |         3.2 |iter: 60/100\r",
      "      3.0 | 0.0000e+00 | 0.0000e+00 |           0 |    37200000 |            0 |       62000 |         3.3 |iter: 61/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "      3.0 | 0.0000e+00 | 0.0000e+00 |           0 |    37800000 |            0 |       63000 |         3.4 |iter: 62/100\r",
      "      3.0 | 0.0000e+00 | 0.0000e+00 |           0 |    38400000 |            0 |       64000 |         3.4 |iter: 63/100\r",
      "      3.0 | 0.0000e+00 | 0.0000e+00 |           0 |    39000000 |            0 |       65000 |         3.5 |iter: 64/100\r",
      "      3.0 | 0.0000e+00 | 0.0000e+00 |           0 |    39600000 |            0 |       66000 |         3.5 |iter: 65/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "      3.0 | 0.0000e+00 | 0.0000e+00 |           0 |    40200000 |            0 |       67000 |         3.6 |iter: 66/100\r",
      "      3.0 | 0.0000e+00 | 0.0000e+00 |           0 |    40800000 |            0 |       68000 |         3.6 |iter: 67/100\r",
      "      3.0 | 0.0000e+00 | 0.0000e+00 |           0 |    41400000 |            0 |       69000 |         3.7 |iter: 68/100\r",
      "      3.0 | 0.0000e+00 | 0.0000e+00 |           0 |    42000000 |            0 |       70000 |         3.7 |iter: 69/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "      3.0 | 0.0000e+00 | 0.0000e+00 |           0 |    42600000 |            0 |       71000 |         3.8 |iter: 70/100\r",
      "      3.0 | 0.0000e+00 | 0.0000e+00 |           0 |    43200000 |            0 |       72000 |         3.8 |iter: 71/100\r",
      "      3.0 | 0.0000e+00 | 0.0000e+00 |           0 |    43800000 |            0 |       73000 |         3.9 |iter: 72/100\r",
      "      3.0 | 0.0000e+00 | 0.0000e+00 |           0 |    44400000 |            0 |       74000 |         3.9 |iter: 73/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "      3.0 | 0.0000e+00 | 0.0000e+00 |           0 |    45000000 |            0 |       75000 |         4.0 |iter: 74/100\r",
      "      3.0 | 0.0000e+00 | 0.0000e+00 |           0 |    45600000 |            0 |       76000 |         4.0 |iter: 75/100\r",
      "      3.0 | 0.0000e+00 | 0.0000e+00 |           0 |    46200000 |            0 |       77000 |         4.1 |iter: 76/100\r",
      "      3.0 | 0.0000e+00 | 0.0000e+00 |           0 |    46800000 |            0 |       78000 |         4.1 |iter: 77/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "      3.0 | 0.0000e+00 | 0.0000e+00 |           0 |    47400000 |            0 |       79000 |         4.2 |iter: 78/100\r",
      "      3.0 | 0.0000e+00 | 0.0000e+00 |           0 |    48000000 |            0 |       80000 |         4.3 |iter: 79/100\r",
      "      3.0 | 0.0000e+00 | 0.0000e+00 |           0 |    48600000 |            0 |       81000 |         4.3 |iter: 80/100\r",
      "      3.0 | 0.0000e+00 | 0.0000e+00 |           0 |    49200000 |            0 |       82000 |         4.4 |iter: 81/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "      3.0 | 0.0000e+00 | 0.0000e+00 |           0 |    49800000 |            0 |       83000 |         4.4 |iter: 82/100\r",
      "      3.0 | 0.0000e+00 | 0.0000e+00 |           0 |    50400000 |            0 |       84000 |         4.5 |iter: 83/100\r",
      "      3.0 | 0.0000e+00 | 0.0000e+00 |           0 |    51000000 |            0 |       85000 |         4.5 |iter: 84/100\r",
      "      3.0 | 0.0000e+00 | 0.0000e+00 |           0 |    51600000 |            0 |       86000 |         4.6 |iter: 85/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "      3.0 | 0.0000e+00 | 0.0000e+00 |           0 |    52200000 |            0 |       87000 |         4.6 |iter: 86/100\r",
      "      3.0 | 0.0000e+00 | 0.0000e+00 |           0 |    52800000 |            0 |       88000 |         4.7 |iter: 87/100\r",
      "      3.0 | 0.0000e+00 | 0.0000e+00 |           0 |    53400000 |            0 |       89000 |         4.7 |iter: 88/100\r",
      "      3.0 | 0.0000e+00 | 0.0000e+00 |           0 |    54000000 |            0 |       90000 |         4.8 |iter: 89/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "      3.0 | 0.0000e+00 | 0.0000e+00 |           0 |    54600000 |            0 |       91000 |         4.8 |iter: 90/100\r",
      "      3.0 | 0.0000e+00 | 0.0000e+00 |           0 |    55200000 |            0 |       92000 |         4.9 |iter: 91/100\r",
      "      3.0 | 0.0000e+00 | 0.0000e+00 |           0 |    55800000 |            0 |       93000 |         4.9 |iter: 92/100\r",
      "      3.0 | 0.0000e+00 | 0.0000e+00 |           0 |    56400000 |            0 |       94000 |         5.0 |iter: 93/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "      3.0 | 0.0000e+00 | 0.0000e+00 |           0 |    57000000 |            0 |       95000 |         5.1 |iter: 94/100\r",
      "      3.0 | 0.0000e+00 | 0.0000e+00 |           0 |    57600000 |            0 |       96000 |         5.1 |iter: 95/100\r",
      "      3.0 | 0.0000e+00 | 0.0000e+00 |           0 |    58200000 |            0 |       97000 |         5.2 |iter: 96/100\r",
      "      3.0 | 0.0000e+00 | 0.0000e+00 |           0 |    58800000 |            0 |       98000 |         5.2 |iter: 97/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "      3.0 | 0.0000e+00 | 0.0000e+00 |           0 |    59400000 |            0 |       99000 |         5.3 |iter: 98/100\r",
      "      3.0 | 0.0000e+00 | 0.0000e+00 |           0 |    60000000 |            0 |      100000 |         5.3 |iter: 99/100\r",
      "      3.0 | 0.0000e+00 | 0.0000e+00 |           0 |    60000000 |            0 |      100000 |         5.3 |reached max iterations\n",
      "\n",
      "Simulation stopped as no error occurred @ EbNo = 3.0 dB.\n",
      "\n"
     ]
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1600x1000 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "model_allzero = LDPC_QAM_AWGN(k,\n",
    "                              n,\n",
    "                              num_bits_per_symbol=2,\n",
    "                              use_allzero=True, # disable encoder\n",
    "                              use_scrambler=False) # we do not use a scrambler for the moment (QPSK!)\n",
    "\n",
    "# and simulate the new curve\n",
    "# Hint: as the model is callable, we can directly pass it to the \n",
    "# Monte Carlo simulation\n",
    "ber_plot_allzero.simulate(model_allzero,\n",
    "                          ebno_dbs=np.arange(0, 5, 0.25),\n",
    "                          legend=\"All-zero / QPSK (no encoder)\",\n",
    "                          max_mc_iter=100,\n",
    "                          num_target_bit_errors=1000,\n",
    "                          batch_size=1000,\n",
    "                          soft_estimates=False,\n",
    "                          show_fig=True,\n",
    "                          forward_keyboard_interrupt=False);"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "As expected, the BER curves are identical (within the accuracy of the Monte Carlo simulation)."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Remove (De-)Mapping: Approximate the LLR Distribution of the All-zero Codeword (and BPSK/QPSK)\n",
    "\n",
    "For the all-zero codeword, the BPSK mapper generates the *all-one* signal (as each *0* is mapped to a *1*).\n",
    "\n",
    "Assuming an AWGN channel with noise variance $\\sigma_\\text{ch}^2$, it holds that the output of the channel $y$ is Gaussian distributed with mean $\\mu=1$ and noise variance $\\sigma_\\text{ch}^2$.\n",
    "Demapping of the BPSK symbols is given as $\\ell_\\text{ch} = -\\frac{2}{\\sigma_\\text{ch}^2}y$.\n",
    "\n",
    "This leads to the effective LLR distribution of $\\ell_\\text{ch} \\sim \\mathcal{N}(-\\frac{2}{\\sigma_\\text{ch}^2},\\frac{4}{\\sigma_\\text{ch}^2})$ and, thereby, allows to mimic the mapper, AWGN channel and demapper by a Gaussian distribution.\n",
    "The `GaussianPriorSource` block provides such a source for arbitrary shapes.\n",
    "\n",
    "The same derivation holds for QPSK. Let us quickly verify the correctness of these results by a Monte Carlo simulation.\n",
    "\n",
    "**Note**: the negative sign for the BPSK demapping rule comes from the (in communications) unusual definition of logits $\\ell = \\operatorname{log} \\frac{p(x=1)}{p(x=0)}$."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    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)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-02-14T00:14:23.128025Z",
     "iopub.status.busy": "2026-02-14T00:14:23.127886Z",
     "iopub.status.idle": "2026-02-14T00:14:23.295486Z",
     "shell.execute_reply": "2026-02-14T00:14:23.294657Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 2000x800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "num_bits_per_symbol = 2 # we use QPSK\n",
    "ebno_db = 4 # choose any SNR\n",
    "batch_size = 100000 # we only simulate 1 symbol per batch\n",
    "\n",
    "# calculate noise variance\n",
    "no = ebnodb2no(ebno_db,\n",
    "               num_bits_per_symbol=num_bits_per_symbol,\n",
    "               coderate=k/n).cpu().numpy()\n",
    "\n",
    "# generate bins for the histogram\n",
    "llr_bins = np.arange(-20, 20, 0.2)\n",
    "\n",
    "c = torch.zeros([batch_size, num_bits_per_symbol]) # all-zero codeword\n",
    "x = mapper(c) # mapped to constant symbol\n",
    "y = channel(x, no)\n",
    "llr = demapper(y, no) # and generate LLRs\n",
    "\n",
    "llr_dist, _ = np.histogram(llr.cpu().numpy() , bins=llr_bins, density=True);\n",
    "\n",
    "# negative mean value due to different logit/llr definition \n",
    "# llr = log[(x=1)/p(x=0)]\n",
    "mu_llr = -2 / no\n",
    "no_llr = 4 / no\n",
    "\n",
    "# generate Gaussian pdf\n",
    "llr_pred = 1/np.sqrt(2*np.pi*no_llr) * np.exp(-(llr_bins-mu_llr)**2/(2*no_llr))\n",
    "\n",
    "# and compare the results\n",
    "plt.figure(figsize=(20,8))\n",
    "plt.xticks(fontsize=18)\n",
    "plt.yticks(fontsize=18)\n",
    "plt.grid(which=\"both\")\n",
    "plt.xlabel(\"LLR value\", fontsize=25)\n",
    "plt.ylabel(\"Probability density\", fontsize=25)\n",
    "plt.plot(llr_bins[:-1], llr_dist, label=\"Measured LLR distribution\")\n",
    "plt.plot(llr_bins, llr_pred, label=\"Analytical LLR distribution (GA)\")\n",
    "plt.title(\"LLR distribution after demapping\", fontsize=25)\n",
    "plt.legend(fontsize=20);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-02-14T00:14:23.297824Z",
     "iopub.status.busy": "2026-02-14T00:14:23.297683Z",
     "iopub.status.idle": "2026-02-14T00:15:42.180816Z",
     "shell.execute_reply": "2026-02-14T00:15:42.179928Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "EbNo [dB] |        BER |       BLER |  bit errors |    num bits | block errors |  num blocks | runtime [s] |    status\n",
      "---------------------------------------------------------------------------------------------------------------------------------------\n",
      "      0.0 | 1.6536e-01 | 9.9900e-01 |      992134 |     6000000 |         9990 |       10000 |        12.9 |iter: 0/100\r",
      "      0.0 | 1.6536e-01 | 9.9900e-01 |      992134 |     6000000 |         9990 |       10000 |        12.9 |reached target bit errors\n",
      "     0.25 | 1.4006e-01 | 9.9210e-01 |      840334 |     6000000 |         9921 |       10000 |         0.2 |iter: 0/100\r",
      "     0.25 | 1.4006e-01 | 9.9210e-01 |      840334 |     6000000 |         9921 |       10000 |         0.2 |reached target bit errors\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "      0.5 | 1.0616e-01 | 9.3000e-01 |      636935 |     6000000 |         9300 |       10000 |         0.1 |iter: 0/100\r",
      "      0.5 | 1.0616e-01 | 9.3000e-01 |      636935 |     6000000 |         9300 |       10000 |         0.1 |reached target bit errors\n",
      "     0.75 | 6.5680e-02 | 7.5320e-01 |      394077 |     6000000 |         7532 |       10000 |         0.1 |iter: 0/100\r",
      "     0.75 | 6.5680e-02 | 7.5320e-01 |      394077 |     6000000 |         7532 |       10000 |         0.1 |reached target bit errors\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "      1.0 | 3.0806e-02 | 4.7200e-01 |      184835 |     6000000 |         4720 |       10000 |         0.1 |iter: 0/100\r",
      "      1.0 | 3.0806e-02 | 4.7200e-01 |      184835 |     6000000 |         4720 |       10000 |         0.1 |reached target bit errors\n",
      "     1.25 | 1.1119e-02 | 2.1240e-01 |       66715 |     6000000 |         2124 |       10000 |         0.1 |iter: 0/100\r",
      "     1.25 | 1.1119e-02 | 2.1240e-01 |       66715 |     6000000 |         2124 |       10000 |         0.1 |reached target bit errors\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "      1.5 | 2.6708e-03 | 6.4300e-02 |       16025 |     6000000 |          643 |       10000 |         0.1 |iter: 0/100\r",
      "      1.5 | 2.6708e-03 | 6.4300e-02 |       16025 |     6000000 |          643 |       10000 |         0.1 |reached target bit errors\n",
      "     1.75 | 3.8017e-04 | 1.1600e-02 |        2281 |     6000000 |          116 |       10000 |         0.1 |iter: 0/100\r",
      "     1.75 | 3.8017e-04 | 1.1600e-02 |        2281 |     6000000 |          116 |       10000 |         0.1 |reached target bit errors\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "      2.0 | 6.2500e-05 | 2.2000e-03 |         375 |     6000000 |           22 |       10000 |         0.1 |iter: 0/100\r",
      "      2.0 | 5.0333e-05 | 1.9000e-03 |         604 |    12000000 |           38 |       20000 |         0.3 |iter: 1/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "      2.0 | 6.3556e-05 | 1.9000e-03 |        1144 |    18000000 |           57 |       30000 |         0.4 |iter: 2/100\r",
      "      2.0 | 6.3556e-05 | 1.9000e-03 |        1144 |    18000000 |           57 |       30000 |         0.4 |reached target bit errors\n",
      "     2.25 | 2.6667e-06 | 1.0000e-04 |          16 |     6000000 |            1 |       10000 |         0.1 |iter: 0/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     2.25 | 2.3333e-06 | 2.0000e-04 |          28 |    12000000 |            4 |       20000 |         0.3 |iter: 1/100\r",
      "     2.25 | 1.9444e-06 | 1.6667e-04 |          35 |    18000000 |            5 |       30000 |         0.4 |iter: 2/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     2.25 | 2.3333e-06 | 2.0000e-04 |          56 |    24000000 |            8 |       40000 |         0.6 |iter: 3/100\r",
      "     2.25 | 3.0000e-06 | 2.2000e-04 |          90 |    30000000 |           11 |       50000 |         0.7 |iter: 4/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     2.25 | 3.1389e-06 | 2.5000e-04 |         113 |    36000000 |           15 |       60000 |         0.9 |iter: 5/100\r",
      "     2.25 | 3.1429e-06 | 2.7143e-04 |         132 |    42000000 |           19 |       70000 |         1.0 |iter: 6/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     2.25 | 4.2708e-06 | 2.8750e-04 |         205 |    48000000 |           23 |       80000 |         1.2 |iter: 7/100\r",
      "     2.25 | 3.8333e-06 | 2.6667e-04 |         207 |    54000000 |           24 |       90000 |         1.3 |iter: 8/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     2.25 | 4.2000e-06 | 2.9000e-04 |         252 |    60000000 |           29 |      100000 |         1.4 |iter: 9/100\r",
      "     2.25 | 3.8636e-06 | 2.8182e-04 |         255 |    66000000 |           31 |      110000 |         1.6 |iter: 10/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     2.25 | 3.6389e-06 | 2.7500e-04 |         262 |    72000000 |           33 |      120000 |         1.7 |iter: 11/100\r",
      "     2.25 | 4.5385e-06 | 3.0000e-04 |         354 |    78000000 |           39 |      130000 |         1.9 |iter: 12/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     2.25 | 4.2262e-06 | 2.8571e-04 |         355 |    84000000 |           40 |      140000 |         2.0 |iter: 13/100\r",
      "     2.25 | 4.0444e-06 | 2.8667e-04 |         364 |    90000000 |           43 |      150000 |         2.2 |iter: 14/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     2.25 | 4.3542e-06 | 2.9375e-04 |         418 |    96000000 |           47 |      160000 |         2.3 |iter: 15/100\r",
      "     2.25 | 5.6078e-06 | 3.1176e-04 |         572 |   102000000 |           53 |      170000 |         2.4 |iter: 16/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     2.25 | 5.8426e-06 | 3.1667e-04 |         631 |   108000000 |           57 |      180000 |         2.6 |iter: 17/100\r",
      "     2.25 | 6.1491e-06 | 3.2632e-04 |         701 |   114000000 |           62 |      190000 |         2.7 |iter: 18/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     2.25 | 5.8417e-06 | 3.1000e-04 |         701 |   120000000 |           62 |      200000 |         2.9 |iter: 19/100\r",
      "     2.25 | 5.9603e-06 | 3.1429e-04 |         751 |   126000000 |           66 |      210000 |         3.0 |iter: 20/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     2.25 | 5.6970e-06 | 3.0455e-04 |         752 |   132000000 |           67 |      220000 |         3.2 |iter: 21/100\r",
      "     2.25 | 5.5942e-06 | 3.0000e-04 |         772 |   138000000 |           69 |      230000 |         3.3 |iter: 22/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     2.25 | 5.3681e-06 | 2.9167e-04 |         773 |   144000000 |           70 |      240000 |         3.5 |iter: 23/100\r",
      "     2.25 | 5.1800e-06 | 2.8800e-04 |         777 |   150000000 |           72 |      250000 |         3.6 |iter: 24/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     2.25 | 5.0385e-06 | 2.8462e-04 |         786 |   156000000 |           74 |      260000 |         3.7 |iter: 25/100\r",
      "     2.25 | 4.8519e-06 | 2.7407e-04 |         786 |   162000000 |           74 |      270000 |         3.9 |iter: 26/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     2.25 | 4.6845e-06 | 2.6786e-04 |         787 |   168000000 |           75 |      280000 |         4.0 |iter: 27/100\r",
      "     2.25 | 4.5230e-06 | 2.5862e-04 |         787 |   174000000 |           75 |      290000 |         4.2 |iter: 28/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     2.25 | 4.4278e-06 | 2.5333e-04 |         797 |   180000000 |           76 |      300000 |         4.3 |iter: 29/100\r",
      "     2.25 | 4.3118e-06 | 2.5161e-04 |         802 |   186000000 |           78 |      310000 |         4.5 |iter: 30/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     2.25 | 4.2135e-06 | 2.4688e-04 |         809 |   192000000 |           79 |      320000 |         4.6 |iter: 31/100\r",
      "     2.25 | 4.1869e-06 | 2.4545e-04 |         829 |   198000000 |           81 |      330000 |         4.8 |iter: 32/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     2.25 | 4.0882e-06 | 2.4412e-04 |         834 |   204000000 |           83 |      340000 |         4.9 |iter: 33/100\r",
      "     2.25 | 4.0238e-06 | 2.4857e-04 |         845 |   210000000 |           87 |      350000 |         5.0 |iter: 34/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     2.25 | 4.3241e-06 | 2.4722e-04 |         934 |   216000000 |           89 |      360000 |         5.2 |iter: 35/100\r",
      "     2.25 | 4.2072e-06 | 2.4054e-04 |         934 |   222000000 |           89 |      370000 |         5.3 |iter: 36/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     2.25 | 4.2325e-06 | 2.3947e-04 |         965 |   228000000 |           91 |      380000 |         5.5 |iter: 37/100\r",
      "     2.25 | 4.5769e-06 | 2.4615e-04 |        1071 |   234000000 |           96 |      390000 |         5.6 |iter: 38/100\r",
      "     2.25 | 4.5769e-06 | 2.4615e-04 |        1071 |   234000000 |           96 |      390000 |         5.6 |reached target bit errors\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "      2.5 | 0.0000e+00 | 0.0000e+00 |           0 |     6000000 |            0 |       10000 |         0.1 |iter: 0/100\r",
      "      2.5 | 0.0000e+00 | 0.0000e+00 |           0 |    12000000 |            0 |       20000 |         0.3 |iter: 1/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "      2.5 | 2.7778e-07 | 3.3333e-05 |           5 |    18000000 |            1 |       30000 |         0.4 |iter: 2/100\r",
      "      2.5 | 2.0833e-07 | 2.5000e-05 |           5 |    24000000 |            1 |       40000 |         0.6 |iter: 3/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "      2.5 | 2.6667e-07 | 4.0000e-05 |           8 |    30000000 |            2 |       50000 |         0.7 |iter: 4/100\r",
      "      2.5 | 2.2222e-07 | 3.3333e-05 |           8 |    36000000 |            2 |       60000 |         0.9 |iter: 5/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "      2.5 | 2.1429e-07 | 4.2857e-05 |           9 |    42000000 |            3 |       70000 |         1.0 |iter: 6/100\r",
      "      2.5 | 1.8750e-07 | 3.7500e-05 |           9 |    48000000 |            3 |       80000 |         1.2 |iter: 7/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "      2.5 | 1.6667e-07 | 3.3333e-05 |           9 |    54000000 |            3 |       90000 |         1.3 |iter: 8/100\r",
      "      2.5 | 1.6667e-07 | 4.0000e-05 |          10 |    60000000 |            4 |      100000 |         1.4 |iter: 9/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "      2.5 | 1.6667e-07 | 4.5455e-05 |          11 |    66000000 |            5 |      110000 |         1.6 |iter: 10/100\r",
      "      2.5 | 2.2222e-07 | 5.0000e-05 |          16 |    72000000 |            6 |      120000 |         1.7 |iter: 11/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "      2.5 | 2.0513e-07 | 4.6154e-05 |          16 |    78000000 |            6 |      130000 |         1.9 |iter: 12/100\r",
      "      2.5 | 1.9048e-07 | 4.2857e-05 |          16 |    84000000 |            6 |      140000 |         2.0 |iter: 13/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "      2.5 | 1.7778e-07 | 4.0000e-05 |          16 |    90000000 |            6 |      150000 |         2.2 |iter: 14/100\r",
      "      2.5 | 2.0833e-07 | 4.3750e-05 |          20 |    96000000 |            7 |      160000 |         2.3 |iter: 15/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "      2.5 | 1.9608e-07 | 4.1176e-05 |          20 |   102000000 |            7 |      170000 |         2.5 |iter: 16/100\r",
      "      2.5 | 1.8519e-07 | 3.8889e-05 |          20 |   108000000 |            7 |      180000 |         2.6 |iter: 17/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "      2.5 | 4.0351e-07 | 4.2105e-05 |          46 |   114000000 |            8 |      190000 |         2.7 |iter: 18/100\r",
      "      2.5 | 3.8333e-07 | 4.0000e-05 |          46 |   120000000 |            8 |      200000 |         2.9 |iter: 19/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "      2.5 | 3.6508e-07 | 3.8095e-05 |          46 |   126000000 |            8 |      210000 |         3.0 |iter: 20/100\r",
      "      2.5 | 3.4848e-07 | 3.6364e-05 |          46 |   132000000 |            8 |      220000 |         3.2 |iter: 21/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "      2.5 | 3.3333e-07 | 3.4783e-05 |          46 |   138000000 |            8 |      230000 |         3.3 |iter: 22/100\r",
      "      2.5 | 3.4722e-07 | 3.7500e-05 |          50 |   144000000 |            9 |      240000 |         3.5 |iter: 23/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "      2.5 | 3.3333e-07 | 3.6000e-05 |          50 |   150000000 |            9 |      250000 |         3.6 |iter: 24/100\r",
      "      2.5 | 3.2051e-07 | 3.4615e-05 |          50 |   156000000 |            9 |      260000 |         3.8 |iter: 25/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "      2.5 | 3.0864e-07 | 3.3333e-05 |          50 |   162000000 |            9 |      270000 |         3.9 |iter: 26/100\r",
      "      2.5 | 2.9762e-07 | 3.2143e-05 |          50 |   168000000 |            9 |      280000 |         4.0 |iter: 27/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "      2.5 | 2.9310e-07 | 3.4483e-05 |          51 |   174000000 |           10 |      290000 |         4.2 |iter: 28/100\r",
      "      2.5 | 2.8889e-07 | 3.6667e-05 |          52 |   180000000 |           11 |      300000 |         4.3 |iter: 29/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "      2.5 | 2.7957e-07 | 3.5484e-05 |          52 |   186000000 |           11 |      310000 |         4.5 |iter: 30/100\r",
      "      2.5 | 2.7083e-07 | 3.4375e-05 |          52 |   192000000 |           11 |      320000 |         4.6 |iter: 31/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "      2.5 | 2.6263e-07 | 3.3333e-05 |          52 |   198000000 |           11 |      330000 |         4.8 |iter: 32/100\r",
      "      2.5 | 2.5490e-07 | 3.2353e-05 |          52 |   204000000 |           11 |      340000 |         4.9 |iter: 33/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "      2.5 | 2.4762e-07 | 3.1429e-05 |          52 |   210000000 |           11 |      350000 |         5.1 |iter: 34/100\r",
      "      2.5 | 3.5648e-07 | 3.8889e-05 |          77 |   216000000 |           14 |      360000 |         5.2 |iter: 35/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "      2.5 | 3.4685e-07 | 3.7838e-05 |          77 |   222000000 |           14 |      370000 |         5.3 |iter: 36/100\r",
      "      2.5 | 3.3772e-07 | 3.6842e-05 |          77 |   228000000 |           14 |      380000 |         5.5 |iter: 37/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "      2.5 | 3.2906e-07 | 3.5897e-05 |          77 |   234000000 |           14 |      390000 |         5.6 |iter: 38/100\r",
      "      2.5 | 3.2083e-07 | 3.5000e-05 |          77 |   240000000 |           14 |      400000 |         5.8 |iter: 39/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "      2.5 | 3.1301e-07 | 3.4146e-05 |          77 |   246000000 |           14 |      410000 |         5.9 |iter: 40/100\r",
      "      2.5 | 3.6111e-07 | 3.5714e-05 |          91 |   252000000 |           15 |      420000 |         6.1 |iter: 41/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "      2.5 | 3.6047e-07 | 3.7209e-05 |          93 |   258000000 |           16 |      430000 |         6.2 |iter: 42/100\r",
      "      2.5 | 3.5227e-07 | 3.6364e-05 |          93 |   264000000 |           16 |      440000 |         6.4 |iter: 43/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "      2.5 | 3.4444e-07 | 3.5556e-05 |          93 |   270000000 |           16 |      450000 |         6.5 |iter: 44/100\r",
      "      2.5 | 3.3696e-07 | 3.4783e-05 |          93 |   276000000 |           16 |      460000 |         6.6 |iter: 45/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "      2.5 | 3.2979e-07 | 3.4043e-05 |          93 |   282000000 |           16 |      470000 |         6.8 |iter: 46/100\r",
      "      2.5 | 3.2292e-07 | 3.3333e-05 |          93 |   288000000 |           16 |      480000 |         6.9 |iter: 47/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "      2.5 | 3.1633e-07 | 3.2653e-05 |          93 |   294000000 |           16 |      490000 |         7.1 |iter: 48/100\r",
      "      2.5 | 3.2667e-07 | 3.4000e-05 |          98 |   300000000 |           17 |      500000 |         7.2 |iter: 49/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "      2.5 | 3.2026e-07 | 3.3333e-05 |          98 |   306000000 |           17 |      510000 |         7.4 |iter: 50/100\r",
      "      2.5 | 4.0705e-07 | 3.6538e-05 |         127 |   312000000 |           19 |      520000 |         7.5 |iter: 51/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "      2.5 | 6.6352e-07 | 3.9623e-05 |         211 |   318000000 |           21 |      530000 |         7.7 |iter: 52/100\r",
      "      2.5 | 6.5123e-07 | 3.8889e-05 |         211 |   324000000 |           21 |      540000 |         7.8 |iter: 53/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "      2.5 | 6.6364e-07 | 4.0000e-05 |         219 |   330000000 |           22 |      550000 |         7.9 |iter: 54/100\r",
      "      2.5 | 6.6071e-07 | 4.1071e-05 |         222 |   336000000 |           23 |      560000 |         8.1 |iter: 55/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "      2.5 | 7.2515e-07 | 4.2105e-05 |         248 |   342000000 |           24 |      570000 |         8.2 |iter: 56/100\r",
      "      2.5 | 7.1264e-07 | 4.1379e-05 |         248 |   348000000 |           24 |      580000 |         8.4 |iter: 57/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "      2.5 | 7.1469e-07 | 4.2373e-05 |         253 |   354000000 |           25 |      590000 |         8.5 |iter: 58/100\r",
      "      2.5 | 7.0278e-07 | 4.1667e-05 |         253 |   360000000 |           25 |      600000 |         8.7 |iter: 59/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "      2.5 | 6.9126e-07 | 4.0984e-05 |         253 |   366000000 |           25 |      610000 |         8.8 |iter: 60/100\r",
      "      2.5 | 6.8011e-07 | 4.0323e-05 |         253 |   372000000 |           25 |      620000 |         9.0 |iter: 61/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "      2.5 | 6.7460e-07 | 4.1270e-05 |         255 |   378000000 |           26 |      630000 |         9.1 |iter: 62/100\r",
      "      2.5 | 6.9792e-07 | 4.2188e-05 |         268 |   384000000 |           27 |      640000 |         9.2 |iter: 63/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "      2.5 | 6.8718e-07 | 4.1538e-05 |         268 |   390000000 |           27 |      650000 |         9.4 |iter: 64/100\r",
      "      2.5 | 6.7677e-07 | 4.0909e-05 |         268 |   396000000 |           27 |      660000 |         9.5 |iter: 65/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "      2.5 | 6.7662e-07 | 4.1791e-05 |         272 |   402000000 |           28 |      670000 |         9.7 |iter: 66/100\r",
      "      2.5 | 6.9853e-07 | 4.4118e-05 |         285 |   408000000 |           30 |      680000 |         9.8 |iter: 67/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "      2.5 | 6.8841e-07 | 4.3478e-05 |         285 |   414000000 |           30 |      690000 |        10.0 |iter: 68/100\r",
      "      2.5 | 6.8810e-07 | 4.5714e-05 |         289 |   420000000 |           32 |      700000 |        10.1 |iter: 69/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "      2.5 | 6.7840e-07 | 4.5070e-05 |         289 |   426000000 |           32 |      710000 |        10.3 |iter: 70/100\r",
      "      2.5 | 6.6898e-07 | 4.4444e-05 |         289 |   432000000 |           32 |      720000 |        10.4 |iter: 71/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "      2.5 | 6.5982e-07 | 4.3836e-05 |         289 |   438000000 |           32 |      730000 |        10.5 |iter: 72/100\r",
      "      2.5 | 6.5090e-07 | 4.3243e-05 |         289 |   444000000 |           32 |      740000 |        10.7 |iter: 73/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "      2.5 | 6.4222e-07 | 4.2667e-05 |         289 |   450000000 |           32 |      750000 |        10.8 |iter: 74/100\r",
      "      2.5 | 6.4254e-07 | 4.3421e-05 |         293 |   456000000 |           33 |      760000 |        11.0 |iter: 75/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "      2.5 | 6.3420e-07 | 4.2857e-05 |         293 |   462000000 |           33 |      770000 |        11.1 |iter: 76/100\r",
      "      2.5 | 6.7308e-07 | 4.3590e-05 |         315 |   468000000 |           34 |      780000 |        11.3 |iter: 77/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "      2.5 | 7.8059e-07 | 4.6835e-05 |         370 |   474000000 |           37 |      790000 |        11.4 |iter: 78/100\r",
      "      2.5 | 7.7083e-07 | 4.6250e-05 |         370 |   480000000 |           37 |      800000 |        11.6 |iter: 79/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "      2.5 | 7.6132e-07 | 4.5679e-05 |         370 |   486000000 |           37 |      810000 |        11.7 |iter: 80/100\r",
      "      2.5 | 7.5203e-07 | 4.5122e-05 |         370 |   492000000 |           37 |      820000 |        11.9 |iter: 81/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "      2.5 | 7.4297e-07 | 4.4578e-05 |         370 |   498000000 |           37 |      830000 |        12.0 |iter: 82/100\r",
      "      2.5 | 7.3413e-07 | 4.4048e-05 |         370 |   504000000 |           37 |      840000 |        12.1 |iter: 83/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "      2.5 | 7.2549e-07 | 4.3529e-05 |         370 |   510000000 |           37 |      850000 |        12.3 |iter: 84/100\r",
      "      2.5 | 7.1705e-07 | 4.3023e-05 |         370 |   516000000 |           37 |      860000 |        12.4 |iter: 85/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "      2.5 | 7.0881e-07 | 4.2529e-05 |         370 |   522000000 |           37 |      870000 |        12.6 |iter: 86/100\r",
      "      2.5 | 7.0076e-07 | 4.2045e-05 |         370 |   528000000 |           37 |      880000 |        12.7 |iter: 87/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "      2.5 | 6.9850e-07 | 4.2697e-05 |         373 |   534000000 |           38 |      890000 |        12.9 |iter: 88/100\r",
      "      2.5 | 7.0741e-07 | 4.3333e-05 |         382 |   540000000 |           39 |      900000 |        13.0 |iter: 89/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "      2.5 | 7.0330e-07 | 4.3956e-05 |         384 |   546000000 |           40 |      910000 |        13.2 |iter: 90/100\r",
      "      2.5 | 6.9565e-07 | 4.3478e-05 |         384 |   552000000 |           40 |      920000 |        13.3 |iter: 91/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "      2.5 | 6.8817e-07 | 4.3011e-05 |         384 |   558000000 |           40 |      930000 |        13.4 |iter: 92/100\r",
      "      2.5 | 6.8085e-07 | 4.2553e-05 |         384 |   564000000 |           40 |      940000 |        13.6 |iter: 93/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "      2.5 | 6.8070e-07 | 4.3158e-05 |         388 |   570000000 |           41 |      950000 |        13.7 |iter: 94/100\r",
      "      2.5 | 6.7361e-07 | 4.2708e-05 |         388 |   576000000 |           41 |      960000 |        13.9 |iter: 95/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "      2.5 | 6.7010e-07 | 4.3299e-05 |         390 |   582000000 |           42 |      970000 |        14.0 |iter: 96/100\r",
      "      2.5 | 6.6837e-07 | 4.3878e-05 |         393 |   588000000 |           43 |      980000 |        14.2 |iter: 97/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "      2.5 | 6.8855e-07 | 4.4444e-05 |         409 |   594000000 |           44 |      990000 |        14.3 |iter: 98/100\r",
      "      2.5 | 6.9833e-07 | 4.5000e-05 |         419 |   600000000 |           45 |     1000000 |        14.5 |iter: 99/100\r",
      "      2.5 | 6.9833e-07 | 4.5000e-05 |         419 |   600000000 |           45 |     1000000 |        14.5 |reached max iterations\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     2.75 | 0.0000e+00 | 0.0000e+00 |           0 |     6000000 |            0 |       10000 |         0.1 |iter: 0/100\r",
      "     2.75 | 0.0000e+00 | 0.0000e+00 |           0 |    12000000 |            0 |       20000 |         0.3 |iter: 1/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     2.75 | 0.0000e+00 | 0.0000e+00 |           0 |    18000000 |            0 |       30000 |         0.4 |iter: 2/100\r",
      "     2.75 | 0.0000e+00 | 0.0000e+00 |           0 |    24000000 |            0 |       40000 |         0.6 |iter: 3/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     2.75 | 0.0000e+00 | 0.0000e+00 |           0 |    30000000 |            0 |       50000 |         0.7 |iter: 4/100\r",
      "     2.75 | 0.0000e+00 | 0.0000e+00 |           0 |    36000000 |            0 |       60000 |         0.9 |iter: 5/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     2.75 | 0.0000e+00 | 0.0000e+00 |           0 |    42000000 |            0 |       70000 |         1.0 |iter: 6/100\r",
      "     2.75 | 0.0000e+00 | 0.0000e+00 |           0 |    48000000 |            0 |       80000 |         1.2 |iter: 7/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     2.75 | 0.0000e+00 | 0.0000e+00 |           0 |    54000000 |            0 |       90000 |         1.3 |iter: 8/100\r",
      "     2.75 | 0.0000e+00 | 0.0000e+00 |           0 |    60000000 |            0 |      100000 |         1.4 |iter: 9/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     2.75 | 0.0000e+00 | 0.0000e+00 |           0 |    66000000 |            0 |      110000 |         1.6 |iter: 10/100\r",
      "     2.75 | 0.0000e+00 | 0.0000e+00 |           0 |    72000000 |            0 |      120000 |         1.7 |iter: 11/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     2.75 | 0.0000e+00 | 0.0000e+00 |           0 |    78000000 |            0 |      130000 |         1.9 |iter: 12/100\r",
      "     2.75 | 0.0000e+00 | 0.0000e+00 |           0 |    84000000 |            0 |      140000 |         2.0 |iter: 13/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     2.75 | 1.4444e-07 | 6.6667e-06 |          13 |    90000000 |            1 |      150000 |         2.2 |iter: 14/100\r",
      "     2.75 | 1.3542e-07 | 6.2500e-06 |          13 |    96000000 |            1 |      160000 |         2.3 |iter: 15/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     2.75 | 1.2745e-07 | 5.8824e-06 |          13 |   102000000 |            1 |      170000 |         2.5 |iter: 16/100\r",
      "     2.75 | 1.2037e-07 | 5.5556e-06 |          13 |   108000000 |            1 |      180000 |         2.6 |iter: 17/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     2.75 | 1.1404e-07 | 5.2632e-06 |          13 |   114000000 |            1 |      190000 |         2.7 |iter: 18/100\r",
      "     2.75 | 1.0833e-07 | 5.0000e-06 |          13 |   120000000 |            1 |      200000 |         2.9 |iter: 19/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     2.75 | 1.0317e-07 | 4.7619e-06 |          13 |   126000000 |            1 |      210000 |         3.0 |iter: 20/100\r",
      "     2.75 | 9.8485e-08 | 4.5455e-06 |          13 |   132000000 |            1 |      220000 |         3.2 |iter: 21/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     2.75 | 9.4203e-08 | 4.3478e-06 |          13 |   138000000 |            1 |      230000 |         3.3 |iter: 22/100\r",
      "     2.75 | 9.0278e-08 | 4.1667e-06 |          13 |   144000000 |            1 |      240000 |         3.5 |iter: 23/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     2.75 | 8.6667e-08 | 4.0000e-06 |          13 |   150000000 |            1 |      250000 |         3.6 |iter: 24/100\r",
      "     2.75 | 8.3333e-08 | 3.8462e-06 |          13 |   156000000 |            1 |      260000 |         3.8 |iter: 25/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     2.75 | 8.0247e-08 | 3.7037e-06 |          13 |   162000000 |            1 |      270000 |         3.9 |iter: 26/100\r",
      "     2.75 | 7.7381e-08 | 3.5714e-06 |          13 |   168000000 |            1 |      280000 |         4.1 |iter: 27/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     2.75 | 7.4713e-08 | 3.4483e-06 |          13 |   174000000 |            1 |      290000 |         4.2 |iter: 28/100\r",
      "     2.75 | 7.2222e-08 | 3.3333e-06 |          13 |   180000000 |            1 |      300000 |         4.3 |iter: 29/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     2.75 | 6.9892e-08 | 3.2258e-06 |          13 |   186000000 |            1 |      310000 |         4.5 |iter: 30/100\r",
      "     2.75 | 1.3542e-07 | 6.2500e-06 |          26 |   192000000 |            2 |      320000 |         4.6 |iter: 31/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     2.75 | 1.3131e-07 | 6.0606e-06 |          26 |   198000000 |            2 |      330000 |         4.8 |iter: 32/100\r",
      "     2.75 | 1.2745e-07 | 5.8824e-06 |          26 |   204000000 |            2 |      340000 |         4.9 |iter: 33/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     2.75 | 1.2381e-07 | 5.7143e-06 |          26 |   210000000 |            2 |      350000 |         5.1 |iter: 34/100\r",
      "     2.75 | 1.2037e-07 | 5.5556e-06 |          26 |   216000000 |            2 |      360000 |         5.2 |iter: 35/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     2.75 | 1.1712e-07 | 5.4054e-06 |          26 |   222000000 |            2 |      370000 |         5.4 |iter: 36/100\r",
      "     2.75 | 1.1404e-07 | 5.2632e-06 |          26 |   228000000 |            2 |      380000 |         5.5 |iter: 37/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     2.75 | 1.1111e-07 | 5.1282e-06 |          26 |   234000000 |            2 |      390000 |         5.6 |iter: 38/100\r",
      "     2.75 | 1.2917e-07 | 7.5000e-06 |          31 |   240000000 |            3 |      400000 |         5.8 |iter: 39/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     2.75 | 1.2602e-07 | 7.3171e-06 |          31 |   246000000 |            3 |      410000 |         5.9 |iter: 40/100\r",
      "     2.75 | 1.2302e-07 | 7.1429e-06 |          31 |   252000000 |            3 |      420000 |         6.1 |iter: 41/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     2.75 | 1.7442e-07 | 9.3023e-06 |          45 |   258000000 |            4 |      430000 |         6.2 |iter: 42/100\r",
      "     2.75 | 1.7045e-07 | 9.0909e-06 |          45 |   264000000 |            4 |      440000 |         6.4 |iter: 43/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     2.75 | 1.6667e-07 | 8.8889e-06 |          45 |   270000000 |            4 |      450000 |         6.5 |iter: 44/100\r",
      "     2.75 | 1.6304e-07 | 8.6957e-06 |          45 |   276000000 |            4 |      460000 |         6.7 |iter: 45/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     2.75 | 1.6667e-07 | 1.0638e-05 |          47 |   282000000 |            5 |      470000 |         6.8 |iter: 46/100\r",
      "     2.75 | 1.6319e-07 | 1.0417e-05 |          47 |   288000000 |            5 |      480000 |         6.9 |iter: 47/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     2.75 | 1.5986e-07 | 1.0204e-05 |          47 |   294000000 |            5 |      490000 |         7.1 |iter: 48/100\r",
      "     2.75 | 1.5667e-07 | 1.0000e-05 |          47 |   300000000 |            5 |      500000 |         7.2 |iter: 49/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     2.75 | 1.5359e-07 | 9.8039e-06 |          47 |   306000000 |            5 |      510000 |         7.4 |iter: 50/100\r",
      "     2.75 | 1.5064e-07 | 9.6154e-06 |          47 |   312000000 |            5 |      520000 |         7.5 |iter: 51/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     2.75 | 1.4780e-07 | 9.4340e-06 |          47 |   318000000 |            5 |      530000 |         7.7 |iter: 52/100\r",
      "     2.75 | 1.4506e-07 | 9.2593e-06 |          47 |   324000000 |            5 |      540000 |         7.8 |iter: 53/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     2.75 | 1.4242e-07 | 9.0909e-06 |          47 |   330000000 |            5 |      550000 |         8.0 |iter: 54/100\r",
      "     2.75 | 1.3988e-07 | 8.9286e-06 |          47 |   336000000 |            5 |      560000 |         8.1 |iter: 55/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     2.75 | 1.3743e-07 | 8.7719e-06 |          47 |   342000000 |            5 |      570000 |         8.2 |iter: 56/100\r",
      "     2.75 | 1.3506e-07 | 8.6207e-06 |          47 |   348000000 |            5 |      580000 |         8.4 |iter: 57/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     2.75 | 1.3277e-07 | 8.4746e-06 |          47 |   354000000 |            5 |      590000 |         8.5 |iter: 58/100\r",
      "     2.75 | 1.3056e-07 | 8.3333e-06 |          47 |   360000000 |            5 |      600000 |         8.7 |iter: 59/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     2.75 | 1.2842e-07 | 8.1967e-06 |          47 |   366000000 |            5 |      610000 |         8.8 |iter: 60/100\r",
      "     2.75 | 1.2634e-07 | 8.0645e-06 |          47 |   372000000 |            5 |      620000 |         9.0 |iter: 61/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     2.75 | 1.2434e-07 | 7.9365e-06 |          47 |   378000000 |            5 |      630000 |         9.1 |iter: 62/100\r",
      "     2.75 | 1.2240e-07 | 7.8125e-06 |          47 |   384000000 |            5 |      640000 |         9.3 |iter: 63/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     2.75 | 1.2051e-07 | 7.6923e-06 |          47 |   390000000 |            5 |      650000 |         9.4 |iter: 64/100\r",
      "     2.75 | 1.1869e-07 | 7.5758e-06 |          47 |   396000000 |            5 |      660000 |         9.6 |iter: 65/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     2.75 | 1.1692e-07 | 7.4627e-06 |          47 |   402000000 |            5 |      670000 |         9.7 |iter: 66/100\r",
      "     2.75 | 1.1520e-07 | 7.3529e-06 |          47 |   408000000 |            5 |      680000 |         9.8 |iter: 67/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     2.75 | 1.1353e-07 | 7.2464e-06 |          47 |   414000000 |            5 |      690000 |        10.0 |iter: 68/100\r",
      "     2.75 | 1.1190e-07 | 7.1429e-06 |          47 |   420000000 |            5 |      700000 |        10.1 |iter: 69/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     2.75 | 1.1033e-07 | 7.0423e-06 |          47 |   426000000 |            5 |      710000 |        10.3 |iter: 70/100\r",
      "     2.75 | 1.0880e-07 | 6.9444e-06 |          47 |   432000000 |            5 |      720000 |        10.4 |iter: 71/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     2.75 | 1.0731e-07 | 6.8493e-06 |          47 |   438000000 |            5 |      730000 |        10.6 |iter: 72/100\r",
      "     2.75 | 1.0586e-07 | 6.7568e-06 |          47 |   444000000 |            5 |      740000 |        10.7 |iter: 73/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     2.75 | 1.0444e-07 | 6.6667e-06 |          47 |   450000000 |            5 |      750000 |        10.9 |iter: 74/100\r",
      "     2.75 | 1.0526e-07 | 7.8947e-06 |          48 |   456000000 |            6 |      760000 |        11.0 |iter: 75/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     2.75 | 1.0390e-07 | 7.7922e-06 |          48 |   462000000 |            6 |      770000 |        11.1 |iter: 76/100\r",
      "     2.75 | 1.0256e-07 | 7.6923e-06 |          48 |   468000000 |            6 |      780000 |        11.3 |iter: 77/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     2.75 | 1.0127e-07 | 7.5949e-06 |          48 |   474000000 |            6 |      790000 |        11.4 |iter: 78/100\r",
      "     2.75 | 1.0000e-07 | 7.5000e-06 |          48 |   480000000 |            6 |      800000 |        11.6 |iter: 79/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     2.75 | 9.8765e-08 | 7.4074e-06 |          48 |   486000000 |            6 |      810000 |        11.7 |iter: 80/100\r",
      "     2.75 | 9.7561e-08 | 7.3171e-06 |          48 |   492000000 |            6 |      820000 |        11.9 |iter: 81/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     2.75 | 9.6386e-08 | 7.2289e-06 |          48 |   498000000 |            6 |      830000 |        12.0 |iter: 82/100\r",
      "     2.75 | 9.5238e-08 | 7.1429e-06 |          48 |   504000000 |            6 |      840000 |        12.2 |iter: 83/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     2.75 | 9.4118e-08 | 7.0588e-06 |          48 |   510000000 |            6 |      850000 |        12.3 |iter: 84/100\r",
      "     2.75 | 9.3023e-08 | 6.9767e-06 |          48 |   516000000 |            6 |      860000 |        12.5 |iter: 85/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     2.75 | 9.1954e-08 | 6.8966e-06 |          48 |   522000000 |            6 |      870000 |        12.6 |iter: 86/100\r",
      "     2.75 | 9.0909e-08 | 6.8182e-06 |          48 |   528000000 |            6 |      880000 |        12.7 |iter: 87/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     2.75 | 8.9888e-08 | 6.7416e-06 |          48 |   534000000 |            6 |      890000 |        12.9 |iter: 88/100\r",
      "     2.75 | 8.8889e-08 | 6.6667e-06 |          48 |   540000000 |            6 |      900000 |        13.0 |iter: 89/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     2.75 | 8.7912e-08 | 6.5934e-06 |          48 |   546000000 |            6 |      910000 |        13.2 |iter: 90/100\r",
      "     2.75 | 8.6957e-08 | 6.5217e-06 |          48 |   552000000 |            6 |      920000 |        13.3 |iter: 91/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     2.75 | 8.6022e-08 | 6.4516e-06 |          48 |   558000000 |            6 |      930000 |        13.5 |iter: 92/100\r",
      "     2.75 | 8.5106e-08 | 6.3830e-06 |          48 |   564000000 |            6 |      940000 |        13.6 |iter: 93/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     2.75 | 8.4211e-08 | 6.3158e-06 |          48 |   570000000 |            6 |      950000 |        13.8 |iter: 94/100\r",
      "     2.75 | 8.3333e-08 | 6.2500e-06 |          48 |   576000000 |            6 |      960000 |        13.9 |iter: 95/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     2.75 | 8.2474e-08 | 6.1856e-06 |          48 |   582000000 |            6 |      970000 |        14.0 |iter: 96/100\r",
      "     2.75 | 8.1633e-08 | 6.1224e-06 |          48 |   588000000 |            6 |      980000 |        14.2 |iter: 97/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     2.75 | 8.0808e-08 | 6.0606e-06 |          48 |   594000000 |            6 |      990000 |        14.3 |iter: 98/100\r",
      "     2.75 | 8.0000e-08 | 6.0000e-06 |          48 |   600000000 |            6 |     1000000 |        14.5 |iter: 99/100\r",
      "     2.75 | 8.0000e-08 | 6.0000e-06 |          48 |   600000000 |            6 |     1000000 |        14.5 |reached max iterations\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "      3.0 | 0.0000e+00 | 0.0000e+00 |           0 |     6000000 |            0 |       10000 |         0.1 |iter: 0/100\r",
      "      3.0 | 0.0000e+00 | 0.0000e+00 |           0 |    12000000 |            0 |       20000 |         0.3 |iter: 1/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "      3.0 | 0.0000e+00 | 0.0000e+00 |           0 |    18000000 |            0 |       30000 |         0.4 |iter: 2/100\r",
      "      3.0 | 0.0000e+00 | 0.0000e+00 |           0 |    24000000 |            0 |       40000 |         0.6 |iter: 3/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "      3.0 | 0.0000e+00 | 0.0000e+00 |           0 |    30000000 |            0 |       50000 |         0.7 |iter: 4/100\r",
      "      3.0 | 0.0000e+00 | 0.0000e+00 |           0 |    36000000 |            0 |       60000 |         0.9 |iter: 5/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "      3.0 | 0.0000e+00 | 0.0000e+00 |           0 |    42000000 |            0 |       70000 |         1.0 |iter: 6/100\r",
      "      3.0 | 0.0000e+00 | 0.0000e+00 |           0 |    48000000 |            0 |       80000 |         1.2 |iter: 7/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "      3.0 | 0.0000e+00 | 0.0000e+00 |           0 |    54000000 |            0 |       90000 |         1.3 |iter: 8/100\r",
      "      3.0 | 0.0000e+00 | 0.0000e+00 |           0 |    60000000 |            0 |      100000 |         1.4 |iter: 9/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "      3.0 | 0.0000e+00 | 0.0000e+00 |           0 |    66000000 |            0 |      110000 |         1.6 |iter: 10/100\r",
      "      3.0 | 0.0000e+00 | 0.0000e+00 |           0 |    72000000 |            0 |      120000 |         1.7 |iter: 11/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "      3.0 | 0.0000e+00 | 0.0000e+00 |           0 |    78000000 |            0 |      130000 |         1.9 |iter: 12/100\r",
      "      3.0 | 0.0000e+00 | 0.0000e+00 |           0 |    84000000 |            0 |      140000 |         2.0 |iter: 13/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "      3.0 | 0.0000e+00 | 0.0000e+00 |           0 |    90000000 |            0 |      150000 |         2.2 |iter: 14/100\r",
      "      3.0 | 0.0000e+00 | 0.0000e+00 |           0 |    96000000 |            0 |      160000 |         2.3 |iter: 15/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "      3.0 | 0.0000e+00 | 0.0000e+00 |           0 |   102000000 |            0 |      170000 |         2.5 |iter: 16/100\r",
      "      3.0 | 0.0000e+00 | 0.0000e+00 |           0 |   108000000 |            0 |      180000 |         2.6 |iter: 17/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "      3.0 | 0.0000e+00 | 0.0000e+00 |           0 |   114000000 |            0 |      190000 |         2.8 |iter: 18/100\r",
      "      3.0 | 0.0000e+00 | 0.0000e+00 |           0 |   120000000 |            0 |      200000 |         2.9 |iter: 19/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "      3.0 | 0.0000e+00 | 0.0000e+00 |           0 |   126000000 |            0 |      210000 |         3.0 |iter: 20/100\r",
      "      3.0 | 0.0000e+00 | 0.0000e+00 |           0 |   132000000 |            0 |      220000 |         3.2 |iter: 21/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "      3.0 | 0.0000e+00 | 0.0000e+00 |           0 |   138000000 |            0 |      230000 |         3.3 |iter: 22/100\r",
      "      3.0 | 0.0000e+00 | 0.0000e+00 |           0 |   144000000 |            0 |      240000 |         3.5 |iter: 23/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "      3.0 | 0.0000e+00 | 0.0000e+00 |           0 |   150000000 |            0 |      250000 |         3.6 |iter: 24/100\r",
      "      3.0 | 0.0000e+00 | 0.0000e+00 |           0 |   156000000 |            0 |      260000 |         3.8 |iter: 25/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "      3.0 | 0.0000e+00 | 0.0000e+00 |           0 |   162000000 |            0 |      270000 |         3.9 |iter: 26/100\r",
      "      3.0 | 0.0000e+00 | 0.0000e+00 |           0 |   168000000 |            0 |      280000 |         4.1 |iter: 27/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "      3.0 | 0.0000e+00 | 0.0000e+00 |           0 |   174000000 |            0 |      290000 |         4.2 |iter: 28/100\r",
      "      3.0 | 0.0000e+00 | 0.0000e+00 |           0 |   180000000 |            0 |      300000 |         4.3 |iter: 29/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "      3.0 | 0.0000e+00 | 0.0000e+00 |           0 |   186000000 |            0 |      310000 |         4.5 |iter: 30/100\r",
      "      3.0 | 0.0000e+00 | 0.0000e+00 |           0 |   192000000 |            0 |      320000 |         4.6 |iter: 31/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "      3.0 | 0.0000e+00 | 0.0000e+00 |           0 |   198000000 |            0 |      330000 |         4.8 |iter: 32/100\r",
      "      3.0 | 0.0000e+00 | 0.0000e+00 |           0 |   204000000 |            0 |      340000 |         4.9 |iter: 33/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "      3.0 | 0.0000e+00 | 0.0000e+00 |           0 |   210000000 |            0 |      350000 |         5.1 |iter: 34/100\r",
      "      3.0 | 0.0000e+00 | 0.0000e+00 |           0 |   216000000 |            0 |      360000 |         5.2 |iter: 35/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "      3.0 | 0.0000e+00 | 0.0000e+00 |           0 |   222000000 |            0 |      370000 |         5.4 |iter: 36/100\r",
      "      3.0 | 0.0000e+00 | 0.0000e+00 |           0 |   228000000 |            0 |      380000 |         5.5 |iter: 37/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "      3.0 | 0.0000e+00 | 0.0000e+00 |           0 |   234000000 |            0 |      390000 |         5.7 |iter: 38/100\r",
      "      3.0 | 0.0000e+00 | 0.0000e+00 |           0 |   240000000 |            0 |      400000 |         5.8 |iter: 39/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "      3.0 | 0.0000e+00 | 0.0000e+00 |           0 |   246000000 |            0 |      410000 |         5.9 |iter: 40/100\r",
      "      3.0 | 0.0000e+00 | 0.0000e+00 |           0 |   252000000 |            0 |      420000 |         6.1 |iter: 41/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "      3.0 | 0.0000e+00 | 0.0000e+00 |           0 |   258000000 |            0 |      430000 |         6.2 |iter: 42/100\r",
      "      3.0 | 0.0000e+00 | 0.0000e+00 |           0 |   264000000 |            0 |      440000 |         6.4 |iter: 43/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "      3.0 | 0.0000e+00 | 0.0000e+00 |           0 |   270000000 |            0 |      450000 |         6.5 |iter: 44/100\r",
      "      3.0 | 0.0000e+00 | 0.0000e+00 |           0 |   276000000 |            0 |      460000 |         6.7 |iter: 45/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "      3.0 | 0.0000e+00 | 0.0000e+00 |           0 |   282000000 |            0 |      470000 |         6.8 |iter: 46/100\r",
      "      3.0 | 0.0000e+00 | 0.0000e+00 |           0 |   288000000 |            0 |      480000 |         7.0 |iter: 47/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "      3.0 | 0.0000e+00 | 0.0000e+00 |           0 |   294000000 |            0 |      490000 |         7.1 |iter: 48/100\r",
      "      3.0 | 0.0000e+00 | 0.0000e+00 |           0 |   300000000 |            0 |      500000 |         7.2 |iter: 49/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "      3.0 | 0.0000e+00 | 0.0000e+00 |           0 |   306000000 |            0 |      510000 |         7.4 |iter: 50/100\r",
      "      3.0 | 0.0000e+00 | 0.0000e+00 |           0 |   312000000 |            0 |      520000 |         7.5 |iter: 51/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "      3.0 | 0.0000e+00 | 0.0000e+00 |           0 |   318000000 |            0 |      530000 |         7.7 |iter: 52/100\r",
      "      3.0 | 0.0000e+00 | 0.0000e+00 |           0 |   324000000 |            0 |      540000 |         7.8 |iter: 53/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "      3.0 | 0.0000e+00 | 0.0000e+00 |           0 |   330000000 |            0 |      550000 |         8.0 |iter: 54/100\r",
      "      3.0 | 0.0000e+00 | 0.0000e+00 |           0 |   336000000 |            0 |      560000 |         8.1 |iter: 55/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "      3.0 | 0.0000e+00 | 0.0000e+00 |           0 |   342000000 |            0 |      570000 |         8.3 |iter: 56/100\r",
      "      3.0 | 3.7356e-08 | 1.7241e-06 |          13 |   348000000 |            1 |      580000 |         8.4 |iter: 57/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "      3.0 | 3.6723e-08 | 1.6949e-06 |          13 |   354000000 |            1 |      590000 |         8.6 |iter: 58/100\r",
      "      3.0 | 3.6111e-08 | 1.6667e-06 |          13 |   360000000 |            1 |      600000 |         8.7 |iter: 59/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "      3.0 | 3.5519e-08 | 1.6393e-06 |          13 |   366000000 |            1 |      610000 |         8.8 |iter: 60/100\r",
      "      3.0 | 3.4946e-08 | 1.6129e-06 |          13 |   372000000 |            1 |      620000 |         9.0 |iter: 61/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "      3.0 | 3.4392e-08 | 1.5873e-06 |          13 |   378000000 |            1 |      630000 |         9.1 |iter: 62/100\r",
      "      3.0 | 3.3854e-08 | 1.5625e-06 |          13 |   384000000 |            1 |      640000 |         9.3 |iter: 63/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "      3.0 | 3.3333e-08 | 1.5385e-06 |          13 |   390000000 |            1 |      650000 |         9.4 |iter: 64/100\r",
      "      3.0 | 3.2828e-08 | 1.5152e-06 |          13 |   396000000 |            1 |      660000 |         9.6 |iter: 65/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "      3.0 | 3.2338e-08 | 1.4925e-06 |          13 |   402000000 |            1 |      670000 |         9.7 |iter: 66/100\r",
      "      3.0 | 3.1863e-08 | 1.4706e-06 |          13 |   408000000 |            1 |      680000 |         9.9 |iter: 67/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "      3.0 | 3.1401e-08 | 1.4493e-06 |          13 |   414000000 |            1 |      690000 |        10.0 |iter: 68/100\r",
      "      3.0 | 5.0000e-08 | 2.8571e-06 |          21 |   420000000 |            2 |      700000 |        10.2 |iter: 69/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "      3.0 | 4.9296e-08 | 2.8169e-06 |          21 |   426000000 |            2 |      710000 |        10.3 |iter: 70/100\r",
      "      3.0 | 4.8611e-08 | 2.7778e-06 |          21 |   432000000 |            2 |      720000 |        10.4 |iter: 71/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "      3.0 | 4.7945e-08 | 2.7397e-06 |          21 |   438000000 |            2 |      730000 |        10.6 |iter: 72/100\r",
      "      3.0 | 4.7297e-08 | 2.7027e-06 |          21 |   444000000 |            2 |      740000 |        10.7 |iter: 73/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "      3.0 | 4.6667e-08 | 2.6667e-06 |          21 |   450000000 |            2 |      750000 |        10.9 |iter: 74/100\r",
      "      3.0 | 4.6053e-08 | 2.6316e-06 |          21 |   456000000 |            2 |      760000 |        11.0 |iter: 75/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "      3.0 | 4.5455e-08 | 2.5974e-06 |          21 |   462000000 |            2 |      770000 |        11.2 |iter: 76/100\r",
      "      3.0 | 4.4872e-08 | 2.5641e-06 |          21 |   468000000 |            2 |      780000 |        11.3 |iter: 77/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "      3.0 | 4.4304e-08 | 2.5316e-06 |          21 |   474000000 |            2 |      790000 |        11.5 |iter: 78/100\r",
      "      3.0 | 5.6250e-08 | 3.7500e-06 |          27 |   480000000 |            3 |      800000 |        11.6 |iter: 79/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "      3.0 | 5.5556e-08 | 3.7037e-06 |          27 |   486000000 |            3 |      810000 |        11.7 |iter: 80/100\r",
      "      3.0 | 5.4878e-08 | 3.6585e-06 |          27 |   492000000 |            3 |      820000 |        11.9 |iter: 81/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "      3.0 | 5.4217e-08 | 3.6145e-06 |          27 |   498000000 |            3 |      830000 |        12.0 |iter: 82/100\r",
      "      3.0 | 5.3571e-08 | 3.5714e-06 |          27 |   504000000 |            3 |      840000 |        12.2 |iter: 83/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "      3.0 | 5.2941e-08 | 3.5294e-06 |          27 |   510000000 |            3 |      850000 |        12.3 |iter: 84/100\r",
      "      3.0 | 5.2326e-08 | 3.4884e-06 |          27 |   516000000 |            3 |      860000 |        12.5 |iter: 85/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "      3.0 | 5.1724e-08 | 3.4483e-06 |          27 |   522000000 |            3 |      870000 |        12.6 |iter: 86/100\r",
      "      3.0 | 5.1136e-08 | 3.4091e-06 |          27 |   528000000 |            3 |      880000 |        12.8 |iter: 87/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "      3.0 | 5.0562e-08 | 3.3708e-06 |          27 |   534000000 |            3 |      890000 |        12.9 |iter: 88/100\r",
      "      3.0 | 5.0000e-08 | 3.3333e-06 |          27 |   540000000 |            3 |      900000 |        13.1 |iter: 89/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "      3.0 | 4.9451e-08 | 3.2967e-06 |          27 |   546000000 |            3 |      910000 |        13.2 |iter: 90/100\r",
      "      3.0 | 4.8913e-08 | 3.2609e-06 |          27 |   552000000 |            3 |      920000 |        13.3 |iter: 91/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "      3.0 | 4.8387e-08 | 3.2258e-06 |          27 |   558000000 |            3 |      930000 |        13.5 |iter: 92/100\r",
      "      3.0 | 4.7872e-08 | 3.1915e-06 |          27 |   564000000 |            3 |      940000 |        13.6 |iter: 93/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "      3.0 | 4.7368e-08 | 3.1579e-06 |          27 |   570000000 |            3 |      950000 |        13.8 |iter: 94/100\r",
      "      3.0 | 4.6875e-08 | 3.1250e-06 |          27 |   576000000 |            3 |      960000 |        13.9 |iter: 95/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "      3.0 | 4.6392e-08 | 3.0928e-06 |          27 |   582000000 |            3 |      970000 |        14.1 |iter: 96/100\r",
      "      3.0 | 4.5918e-08 | 3.0612e-06 |          27 |   588000000 |            3 |      980000 |        14.2 |iter: 97/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "      3.0 | 4.5455e-08 | 3.0303e-06 |          27 |   594000000 |            3 |      990000 |        14.4 |iter: 98/100\r",
      "      3.0 | 4.5000e-08 | 3.0000e-06 |          27 |   600000000 |            3 |     1000000 |        14.5 |iter: 99/100\r",
      "      3.0 | 4.5000e-08 | 3.0000e-06 |          27 |   600000000 |            3 |     1000000 |        14.5 |reached max iterations\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     3.25 | 0.0000e+00 | 0.0000e+00 |           0 |     6000000 |            0 |       10000 |         0.1 |iter: 0/100\r",
      "     3.25 | 0.0000e+00 | 0.0000e+00 |           0 |    12000000 |            0 |       20000 |         0.3 |iter: 1/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     3.25 | 0.0000e+00 | 0.0000e+00 |           0 |    18000000 |            0 |       30000 |         0.4 |iter: 2/100\r",
      "     3.25 | 0.0000e+00 | 0.0000e+00 |           0 |    24000000 |            0 |       40000 |         0.6 |iter: 3/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     3.25 | 0.0000e+00 | 0.0000e+00 |           0 |    30000000 |            0 |       50000 |         0.7 |iter: 4/100\r",
      "     3.25 | 0.0000e+00 | 0.0000e+00 |           0 |    36000000 |            0 |       60000 |         0.9 |iter: 5/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     3.25 | 0.0000e+00 | 0.0000e+00 |           0 |    42000000 |            0 |       70000 |         1.0 |iter: 6/100\r",
      "     3.25 | 0.0000e+00 | 0.0000e+00 |           0 |    48000000 |            0 |       80000 |         1.2 |iter: 7/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     3.25 | 0.0000e+00 | 0.0000e+00 |           0 |    54000000 |            0 |       90000 |         1.3 |iter: 8/100\r",
      "     3.25 | 0.0000e+00 | 0.0000e+00 |           0 |    60000000 |            0 |      100000 |         1.5 |iter: 9/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     3.25 | 0.0000e+00 | 0.0000e+00 |           0 |    66000000 |            0 |      110000 |         1.6 |iter: 10/100\r",
      "     3.25 | 0.0000e+00 | 0.0000e+00 |           0 |    72000000 |            0 |      120000 |         1.7 |iter: 11/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     3.25 | 0.0000e+00 | 0.0000e+00 |           0 |    78000000 |            0 |      130000 |         1.9 |iter: 12/100\r",
      "     3.25 | 0.0000e+00 | 0.0000e+00 |           0 |    84000000 |            0 |      140000 |         2.0 |iter: 13/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     3.25 | 0.0000e+00 | 0.0000e+00 |           0 |    90000000 |            0 |      150000 |         2.2 |iter: 14/100\r",
      "     3.25 | 0.0000e+00 | 0.0000e+00 |           0 |    96000000 |            0 |      160000 |         2.3 |iter: 15/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     3.25 | 0.0000e+00 | 0.0000e+00 |           0 |   102000000 |            0 |      170000 |         2.5 |iter: 16/100\r",
      "     3.25 | 0.0000e+00 | 0.0000e+00 |           0 |   108000000 |            0 |      180000 |         2.6 |iter: 17/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     3.25 | 0.0000e+00 | 0.0000e+00 |           0 |   114000000 |            0 |      190000 |         2.8 |iter: 18/100\r",
      "     3.25 | 0.0000e+00 | 0.0000e+00 |           0 |   120000000 |            0 |      200000 |         2.9 |iter: 19/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     3.25 | 0.0000e+00 | 0.0000e+00 |           0 |   126000000 |            0 |      210000 |         3.0 |iter: 20/100\r",
      "     3.25 | 0.0000e+00 | 0.0000e+00 |           0 |   132000000 |            0 |      220000 |         3.2 |iter: 21/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     3.25 | 0.0000e+00 | 0.0000e+00 |           0 |   138000000 |            0 |      230000 |         3.3 |iter: 22/100\r",
      "     3.25 | 0.0000e+00 | 0.0000e+00 |           0 |   144000000 |            0 |      240000 |         3.5 |iter: 23/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     3.25 | 0.0000e+00 | 0.0000e+00 |           0 |   150000000 |            0 |      250000 |         3.6 |iter: 24/100\r",
      "     3.25 | 0.0000e+00 | 0.0000e+00 |           0 |   156000000 |            0 |      260000 |         3.8 |iter: 25/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     3.25 | 0.0000e+00 | 0.0000e+00 |           0 |   162000000 |            0 |      270000 |         3.9 |iter: 26/100\r",
      "     3.25 | 0.0000e+00 | 0.0000e+00 |           0 |   168000000 |            0 |      280000 |         4.1 |iter: 27/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     3.25 | 0.0000e+00 | 0.0000e+00 |           0 |   174000000 |            0 |      290000 |         4.2 |iter: 28/100\r",
      "     3.25 | 0.0000e+00 | 0.0000e+00 |           0 |   180000000 |            0 |      300000 |         4.4 |iter: 29/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     3.25 | 0.0000e+00 | 0.0000e+00 |           0 |   186000000 |            0 |      310000 |         4.5 |iter: 30/100\r",
      "     3.25 | 0.0000e+00 | 0.0000e+00 |           0 |   192000000 |            0 |      320000 |         4.6 |iter: 31/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     3.25 | 0.0000e+00 | 0.0000e+00 |           0 |   198000000 |            0 |      330000 |         4.8 |iter: 32/100\r",
      "     3.25 | 0.0000e+00 | 0.0000e+00 |           0 |   204000000 |            0 |      340000 |         4.9 |iter: 33/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     3.25 | 0.0000e+00 | 0.0000e+00 |           0 |   210000000 |            0 |      350000 |         5.1 |iter: 34/100\r",
      "     3.25 | 0.0000e+00 | 0.0000e+00 |           0 |   216000000 |            0 |      360000 |         5.2 |iter: 35/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     3.25 | 0.0000e+00 | 0.0000e+00 |           0 |   222000000 |            0 |      370000 |         5.4 |iter: 36/100\r",
      "     3.25 | 0.0000e+00 | 0.0000e+00 |           0 |   228000000 |            0 |      380000 |         5.5 |iter: 37/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     3.25 | 0.0000e+00 | 0.0000e+00 |           0 |   234000000 |            0 |      390000 |         5.7 |iter: 38/100\r",
      "     3.25 | 0.0000e+00 | 0.0000e+00 |           0 |   240000000 |            0 |      400000 |         5.8 |iter: 39/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     3.25 | 0.0000e+00 | 0.0000e+00 |           0 |   246000000 |            0 |      410000 |         5.9 |iter: 40/100\r",
      "     3.25 | 0.0000e+00 | 0.0000e+00 |           0 |   252000000 |            0 |      420000 |         6.1 |iter: 41/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     3.25 | 0.0000e+00 | 0.0000e+00 |           0 |   258000000 |            0 |      430000 |         6.2 |iter: 42/100\r",
      "     3.25 | 0.0000e+00 | 0.0000e+00 |           0 |   264000000 |            0 |      440000 |         6.4 |iter: 43/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     3.25 | 0.0000e+00 | 0.0000e+00 |           0 |   270000000 |            0 |      450000 |         6.5 |iter: 44/100\r",
      "     3.25 | 0.0000e+00 | 0.0000e+00 |           0 |   276000000 |            0 |      460000 |         6.7 |iter: 45/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     3.25 | 0.0000e+00 | 0.0000e+00 |           0 |   282000000 |            0 |      470000 |         6.8 |iter: 46/100\r",
      "     3.25 | 0.0000e+00 | 0.0000e+00 |           0 |   288000000 |            0 |      480000 |         7.0 |iter: 47/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     3.25 | 0.0000e+00 | 0.0000e+00 |           0 |   294000000 |            0 |      490000 |         7.1 |iter: 48/100\r",
      "     3.25 | 0.0000e+00 | 0.0000e+00 |           0 |   300000000 |            0 |      500000 |         7.3 |iter: 49/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     3.25 | 0.0000e+00 | 0.0000e+00 |           0 |   306000000 |            0 |      510000 |         7.4 |iter: 50/100\r",
      "     3.25 | 0.0000e+00 | 0.0000e+00 |           0 |   312000000 |            0 |      520000 |         7.5 |iter: 51/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     3.25 | 0.0000e+00 | 0.0000e+00 |           0 |   318000000 |            0 |      530000 |         7.7 |iter: 52/100\r",
      "     3.25 | 0.0000e+00 | 0.0000e+00 |           0 |   324000000 |            0 |      540000 |         7.8 |iter: 53/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     3.25 | 0.0000e+00 | 0.0000e+00 |           0 |   330000000 |            0 |      550000 |         8.0 |iter: 54/100\r",
      "     3.25 | 0.0000e+00 | 0.0000e+00 |           0 |   336000000 |            0 |      560000 |         8.1 |iter: 55/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     3.25 | 0.0000e+00 | 0.0000e+00 |           0 |   342000000 |            0 |      570000 |         8.3 |iter: 56/100\r",
      "     3.25 | 0.0000e+00 | 0.0000e+00 |           0 |   348000000 |            0 |      580000 |         8.4 |iter: 57/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     3.25 | 0.0000e+00 | 0.0000e+00 |           0 |   354000000 |            0 |      590000 |         8.6 |iter: 58/100\r",
      "     3.25 | 0.0000e+00 | 0.0000e+00 |           0 |   360000000 |            0 |      600000 |         8.7 |iter: 59/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     3.25 | 0.0000e+00 | 0.0000e+00 |           0 |   366000000 |            0 |      610000 |         8.8 |iter: 60/100\r",
      "     3.25 | 0.0000e+00 | 0.0000e+00 |           0 |   372000000 |            0 |      620000 |         9.0 |iter: 61/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     3.25 | 0.0000e+00 | 0.0000e+00 |           0 |   378000000 |            0 |      630000 |         9.1 |iter: 62/100\r",
      "     3.25 | 0.0000e+00 | 0.0000e+00 |           0 |   384000000 |            0 |      640000 |         9.3 |iter: 63/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     3.25 | 0.0000e+00 | 0.0000e+00 |           0 |   390000000 |            0 |      650000 |         9.4 |iter: 64/100\r",
      "     3.25 | 0.0000e+00 | 0.0000e+00 |           0 |   396000000 |            0 |      660000 |         9.6 |iter: 65/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     3.25 | 0.0000e+00 | 0.0000e+00 |           0 |   402000000 |            0 |      670000 |         9.7 |iter: 66/100\r",
      "     3.25 | 0.0000e+00 | 0.0000e+00 |           0 |   408000000 |            0 |      680000 |         9.9 |iter: 67/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     3.25 | 0.0000e+00 | 0.0000e+00 |           0 |   414000000 |            0 |      690000 |        10.0 |iter: 68/100\r",
      "     3.25 | 0.0000e+00 | 0.0000e+00 |           0 |   420000000 |            0 |      700000 |        10.2 |iter: 69/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     3.25 | 0.0000e+00 | 0.0000e+00 |           0 |   426000000 |            0 |      710000 |        10.3 |iter: 70/100\r",
      "     3.25 | 0.0000e+00 | 0.0000e+00 |           0 |   432000000 |            0 |      720000 |        10.4 |iter: 71/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     3.25 | 0.0000e+00 | 0.0000e+00 |           0 |   438000000 |            0 |      730000 |        10.6 |iter: 72/100\r",
      "     3.25 | 0.0000e+00 | 0.0000e+00 |           0 |   444000000 |            0 |      740000 |        10.7 |iter: 73/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     3.25 | 0.0000e+00 | 0.0000e+00 |           0 |   450000000 |            0 |      750000 |        10.9 |iter: 74/100\r",
      "     3.25 | 0.0000e+00 | 0.0000e+00 |           0 |   456000000 |            0 |      760000 |        11.0 |iter: 75/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     3.25 | 0.0000e+00 | 0.0000e+00 |           0 |   462000000 |            0 |      770000 |        11.2 |iter: 76/100\r",
      "     3.25 | 0.0000e+00 | 0.0000e+00 |           0 |   468000000 |            0 |      780000 |        11.3 |iter: 77/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     3.25 | 0.0000e+00 | 0.0000e+00 |           0 |   474000000 |            0 |      790000 |        11.5 |iter: 78/100\r",
      "     3.25 | 0.0000e+00 | 0.0000e+00 |           0 |   480000000 |            0 |      800000 |        11.6 |iter: 79/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     3.25 | 0.0000e+00 | 0.0000e+00 |           0 |   486000000 |            0 |      810000 |        11.7 |iter: 80/100\r",
      "     3.25 | 0.0000e+00 | 0.0000e+00 |           0 |   492000000 |            0 |      820000 |        11.9 |iter: 81/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     3.25 | 0.0000e+00 | 0.0000e+00 |           0 |   498000000 |            0 |      830000 |        12.0 |iter: 82/100\r",
      "     3.25 | 0.0000e+00 | 0.0000e+00 |           0 |   504000000 |            0 |      840000 |        12.2 |iter: 83/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     3.25 | 0.0000e+00 | 0.0000e+00 |           0 |   510000000 |            0 |      850000 |        12.3 |iter: 84/100\r",
      "     3.25 | 0.0000e+00 | 0.0000e+00 |           0 |   516000000 |            0 |      860000 |        12.5 |iter: 85/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     3.25 | 0.0000e+00 | 0.0000e+00 |           0 |   522000000 |            0 |      870000 |        12.6 |iter: 86/100\r",
      "     3.25 | 0.0000e+00 | 0.0000e+00 |           0 |   528000000 |            0 |      880000 |        12.8 |iter: 87/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     3.25 | 0.0000e+00 | 0.0000e+00 |           0 |   534000000 |            0 |      890000 |        12.9 |iter: 88/100\r",
      "     3.25 | 0.0000e+00 | 0.0000e+00 |           0 |   540000000 |            0 |      900000 |        13.1 |iter: 89/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     3.25 | 0.0000e+00 | 0.0000e+00 |           0 |   546000000 |            0 |      910000 |        13.2 |iter: 90/100\r",
      "     3.25 | 0.0000e+00 | 0.0000e+00 |           0 |   552000000 |            0 |      920000 |        13.3 |iter: 91/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     3.25 | 0.0000e+00 | 0.0000e+00 |           0 |   558000000 |            0 |      930000 |        13.5 |iter: 92/100\r",
      "     3.25 | 0.0000e+00 | 0.0000e+00 |           0 |   564000000 |            0 |      940000 |        13.6 |iter: 93/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     3.25 | 0.0000e+00 | 0.0000e+00 |           0 |   570000000 |            0 |      950000 |        13.8 |iter: 94/100\r",
      "     3.25 | 0.0000e+00 | 0.0000e+00 |           0 |   576000000 |            0 |      960000 |        13.9 |iter: 95/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     3.25 | 0.0000e+00 | 0.0000e+00 |           0 |   582000000 |            0 |      970000 |        14.1 |iter: 96/100\r",
      "     3.25 | 0.0000e+00 | 0.0000e+00 |           0 |   588000000 |            0 |      980000 |        14.2 |iter: 97/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     3.25 | 0.0000e+00 | 0.0000e+00 |           0 |   594000000 |            0 |      990000 |        14.4 |iter: 98/100\r",
      "     3.25 | 0.0000e+00 | 0.0000e+00 |           0 |   600000000 |            0 |     1000000 |        14.5 |iter: 99/100\r",
      "     3.25 | 0.0000e+00 | 0.0000e+00 |           0 |   600000000 |            0 |     1000000 |        14.5 |reached max iterations\n",
      "\n",
      "Simulation stopped as no error occurred @ EbNo = 3.2 dB.\n",
      "\n"
     ]
    },
    {
     "data": {
      "image/png": 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8+BBTpkzBtWvXEBAQgPHjx4PH40FHRweurq4wMzNDbGwsEhMTAZT38BwzZgyio6Nhbm4uc71FRUUSvVMMDAzg5OQECwsLcDgcJCcn49WrV2AYBgzDYOfOncjMzMTJkydV2h8AcPjwYfj4+AAA9PX14eLiAmNjY8TFxbE9tHg8HmbNmoXWrVujZ8+ecssSCoX45JNPpHqFNGrUCK1atYKhoSEyMzPx8uVL9lb53NxcueVt2rQJ3377rcRrLVq0QPPmzSEQCPDixQt2TFM/Pz/0798fd+/eRaNGjVTefkX+/PNPLF26VOI1e3t7tGzZEvn5+YiMjGR7FR49ehRxcXG4fv261DmiKm2issTfA29vb/a2WC0tLXh7e+OPP/4AUN7zp2Iv/bpGfP8pExkZieTkZIVpSkpKMHnyZPj6+rKvcblcdOjQAdbW1igsLERERARKS0shEAjw+++/IzExESdPnlSpV6w655no6GgMGjRIos7Gxsbo0KEDdHV18eLFC/Yz6OXLlxg8eDAuX74sMZ55ZYlP4qOjo4NZs2ZVuUxZqqsdibt8+TKmTJki0au3SZMmaNOmDYqLixEZGYnS0lKsWrVK5eEOgPLP+1GjRkn07NTR0YGzszMsLS2RnZ2NZ8+eoaysDCUlJVi9ejXS09Nl9lAVf4+CgoIgEAhkDgsia9KdgIAAmddHhYWFEhPlyTsOamKfizAMg2nTprHtx8LCAu3atQOXy5V5t8OaNWuwZcsWiddatWoFe3t7ZGRkICoqCllZWRgzZgxOnDihdP3qsLKyYh8XFRXh0aNHCj/DatqVK1cwbdo0MAwDQ0NDuLq6Ql9fHy9evEB6ejoA4PXr1xg+fDjCwsLw6tUrDBkyBHl5eeByuXB2dkajRo2QmJjI7uuSkhJ4eXnh2bNnaNmypca2TZGkpCSJa2kLCwu0atUKpqam4PF4eP36NXtt9/79e8ybNw88Hg+LFy+WKqtHjx7Q19dHbGwsXr9+DaC8972rq6vMdRsYGFSqzjV9PRoVFQVvb28UFBSAw+HA2dkZ1tbWyMjIwPPnz9le7Nu3b4eDgwNWrlwps5yIiAiMHj2ava4AyocUE/UULywsRGJiIt69e8cuFwqFau8PQuo9jYZ3CSFEBer2YM3IyJDo+dirVy+F6etKD9aff/5Z4pffW7duVVtd1N3GkJAQibps2rRJYvmPP/7ILuNwOMzSpUuZpKQkiTSlpaXMzp07JXosLlu2TO46xfeXiYkJA4AZOnQo8+LFC4l02dnZTHZ2tty8ynoNMQzDjB49WqL+K1euZHJyctjlQqGQuXTpEtO0aVM2nYGBARMdHS23TPH9Jar/tGnTmLdv30qkS05OZnvzivfKMDIyYvT09BgjIyNmz549Ej1ES0pKmBUrVkis4/z582xPguXLl0vtkyNHjjA6Ojps+nXr1smte2JiImNjY8OsW7eOCQkJkdmL7t27d8yKFSsYDofDlnns2DG5ZVbcNn19fUZPT4/ZunUr8/79e4m0vr6+Ej2h+/XrJ7dchpHsJQOU9+oNCAhgBAKBRLri4mLmwoULzLhx4+QeeydOnJAoa8aMGUxMTIxEGoFAwJw8eZJp1KgRm27ChAkK66iq4OBgiR5XTk5OTEBAgESa9PR05uOPP5ao58cff6ywXHXbRGUUFxdLvG8Ve0o/efKEXWZqaqq0FzvDaLYHq6pCQkIYAwMDdv1eXl4y082fP59No6ury2zcuJHJysqSSFNYWMhs2rRJ4hj4448/5K67MucZHo/HdOrUSaIuW7ZskWiHfD6fOXjwoMT72aRJk2rprd2uXTu2zG7dulW5PFlqoh2lp6dL9Fy1srJiTp48KXGeycnJYc/N+vr6jLGxsdJ2JxQKmZEjR0q0jb/++kuqd2dWVhazZMkSqfO+rPLEz02PHz+WuV5Rm9HT02O4XC4DgPH09JSZ9urVq2x5bdu2lZmmJva5+LlddHw3btyYOXHiBNs7nmHKz8lxcXHs85s3b0qsw83NjQkJCZEo+/Xr18zQoUMZABL7qzq+Dp87d06ivPbt2zNv3rypcrkMU7kerJaWloy2tjbz448/Spx3BQIBs3XrVom0e/bsYTp27MgAYKZPny7Rq5VhGObGjRuMqampxGekPJruwXr48GHGzc2N2bZtG/P69WuZaZ4+fSrR/vT19SWOperYJlW3i2Fq/npU1KP3k08+YZKTkyXSvXjxgnF1dZW4VsvLy5NZpngP2/bt2zNBQUEy06WlpTF79+5levbsyQQHB8vfQYQ0UBRgJYTUeaoEWIuLi5mYmBhmx44dErc4GRkZMU+ePFFYfl0IsGZmZjJ2dnZsemtra6W3YKtD3W388ssvJS7Q/Pz82GXR0dFs4I7D4SgMsjEMwwQEBLC3vGtpaUndRiVS8fbckSNHSnyhUkSdYNKFCxck1vPjjz/KTRsdHS3xBXvEiBFy04qXCYCZO3eu0npXvGVTS0tL6guquEGDBkkESQDFQ0mIfzFo3ry53HQ8Ho8pLS1VWl+GKb8tX5VgScVt43A4zJUrV+SmP3PmjER6eV+OIiIi2OAAAGbixIkqtZWCggKp17KzsyUCSj/99JPCMl68eMF+6QfABAYGKl2vMp07d5b44piamio37eLFiyX2kaLbuGsjwHr8+HF2HW3atJGZpn379mwaZecKhqn7Adbk5GSJc3W3bt1kBo5v377NptHT01PYrhmm/AcRUXozMzOZxyvDVO48s23bNok8im73vnfvHntuAcAsWLBAafmKFBQUSKy7quXJUxPtSDydvr6+VMBO3Ndffy313shrd/v27WPTWFpaMs+fP1e4bZs3b2bTt27dWuZtvJMmTWLT/PLLL1LLi4uL2WEqBg4cyAbUrK2tZZa3evVqtjx5QwTVxD6v+OOZiYmJ1I+ssjg7O0uciyr+4CjC4/GYgQMHSr1XVVVSUsI0a9ZMokw9PT3Gy8uLOXLkiNzPM1VUJsAKgDl8+LDcMufMmSN1LfHpp5/KTS9+XjYwMJA71IOmA6yqDvshEAgk2szKlSvlpq3JAGttXY+uWbNGbtq3b99KdITYu3evVBo+n8+ePzgcjtSP0PIoG/KGkIaIAqyEkDpP/OJSnT8PDw8mLCxMafnqjrMk/qcoAKBqgPXu3buMi4uLRLn//POP+jtKxW1UdoEYFBQkMV5g48aNmeLiYnb5ggUL2GXKetGJLFy4UOmFnvj+0tXVleoRq4g6waRhw4axabt27ap0zKm///6bTa/owlL8/WvSpIlKF/oVg5DKgg/iAS0AjLOzs1SvTXHv3r2T6HGamJiotE7KCIVCpnnz5myZFXtEiFTcNmXHilAolHgfDx06JDPdRx99xKZp3ry5xHi06vrpp5/YsgYNGqRSni1btrB5vL29K71uhmGY+/fvS+wjRWNFM0x5kER8H82cOVNu2toIsI4YMYJdx8aNG2Wm+f7779k0w4cPV1pmXQ6wFhcXMz169GDX27RpU6neXiLi++a7775TqXzxXlW7du2SmUbd84xQKGTatm3L5pk4caLSeqxatYpNb2RkxOTm5qpUf1kqBn5++OGHSpclT020o/fv30v02lu7dq3CMvl8PtOmTRuJeshqd0KhUOJHB3nnuYp5OnTowOa5du2aVBpl47AGBARItNWlS5eyz2WNw9qrVy92uawfRmrq3FUxwCorWFxRUFCQRJ7r168rTB8bGytxdwdQPV+H/fz8FI6fbmVlxYwcOZL5/vvvmeDgYJXHaa1MgFVR8I1hynsfV6ybonNJaWmpxI+L8sbU1nSAVR2xsbFsmU5OTnLT1WSAtTauR9u0aaO0s8KsWbMUXqslJydLfO4QQuRTf/pOQgipBwYMGIDFixfDzc1N01UBABw5cgQjRoyQ+BswYABsbW3Rv39/PHv2jE27Zs0azJs3r1brV1xcjIiICHz11VcYPHiwxEz13377LfT19QGUj6d07NgxdtmyZctUKn/GjBnsY1VmKx09enS1jREprrCwEDdv3mSff/7550rHOpwzZw7MzMwAAAzD4OLFi0rXM336dLXG4xP55JNPFC7v0aOHxPPZs2crnIm7adOmaNasGfv8xYsXatepIg6HI1EPVWeHVnZMczgc9O3bl30uGmtXHJ/Px5kzZ9jnS5curdJYxYcPH2YfV+ZY9vf3r/S6AeD8+fPsY0dHR4wbN05hen19fYnZvC9evKixMc5SUlJw48YN9vnMmTNlppsxYwbbxm7cuCExPlt98+mnn7LHu4GBAc6fP4+mTZtKpcvIyMD169cBlI+rKWt8P1nUPU+qcp55+fIloqOj2ecVx8uUZcmSJex55f379xLnTHVVHFtcdC6tTjXRjvz9/dkxwDkcDhYtWqSwTG1tbcyfP19pXZ88ecKehxs3bozp06crzcPhcCTSyTo23N3d2ceicVjFiY+/6uHhITGmasWxWd+/f4+QkBCJ9BXVxrlLW1sbc+bMUZimYl2cnJwwbNgwhelbtWqFESNGKC1XXUOHDsWNGzfg4OAgc3lWVhauXr2KdevWoXfv3mjdujX+/vtvifF9q4uya4kuXbpIjNPr7e2t8Fyiq6uLTp06sc+r41pC01q1asWOox4bG6twnPaaUFvXox9//DE7Nro84uOjy7r2En0HAID09HSkpqYqXS8hHyqa5IoQUq9YWFhIBZkAQCAQIDs7Gy9fvkRRURECAwMRGBiI7t2749SpU3IveCtSNIC9LKoGcF+/fs0Oki/PoEGDsGHDBvTv31/l9VfGwYMHcfDgQZXSzp07VyI48PTpU/ZLZ6NGjVTeV+KTaISHh4NhGIUXkjU1GU5ISIjEl7qRI0cqzaOvr48hQ4awgb2HDx8qzVOZ+lf8AiOLjY2NxPNevXopLdfGxkZiwitlioqK4Ofnh9DQUCQkJCA/Px+lpaXsRAhA+QQ/IqoEzHR1ddG1a1el6cSD6rLq+uTJExQVFbHPPT09lZYpT3Z2tsSkEgMHDlQpn52dHczNzZGbm4u0tDS8e/eu0j8GiB9Lqn7hHzNmDNauXQsAyM/Px8uXL9GhQ4dKrb8qDh8+zAZxevfuLXfSEwcHB/Tv3x+BgYEQCoU4cuQIVq9eXZtVrRY//vgjjh49yj7ft28funfvLjNtUFAQ2146duwoNcGYPOLnydDQUKXpVTnPiB9jRkZGKn2+2NnZoXPnzuwkRw8fPqx0WxP/sQ6QnjCxOtREO3r8+DH7uEOHDhI/VMkzcuRIfPHFFwrT3L17l308YMAAmZNRyaLs2HB1dYWVlRWysrKQl5eHsLAwdOvWjV0uCqIaGBigZ8+eeP/+PTgcDhiGQUBAAD777DM2bVBQEBv0a9OmDWxtbaXWVxvnrvbt20tMHiWP+HulLLgqMnLkSInJ16qLh4cHYmJicOjQIRw8eBD379+XG0iOi4vD4sWLceDAAVy4cEHmfq4sZRNs6erqwtLSEhkZGQBUv5YQqe1gZGWkpaXh+vXrePr0KVJSUlBQUMBOeikimoiVYRgkJyfLnQi0JtTW9Wjv3r2VplF27WVhYQFHR0fEx8eDYRhMmDABe/bsUev7EiEfCgqwEkLqFTc3N1y7dk3ucj6fj/Pnz2PFihVISkrC48ePMXDgQISEhKj0JXfo0KFSM5PXlvDwcJVnsK5pzZs3x/r16/Hxxx9LvC7e07a0tLRSvUB4PB7y8/MV9mRq1aqV2uWqQnzm4caNG6Nx48Yq5XN1dWUvaGXNXlxRZepvZWWltJeBoaGhxHNV6i+eRzw4WVFxcTE2bdqE7du3o6CgQGm5Inl5eUrTqLJtgPK6iveasbKyUvmHE1nEZ8/V1tbG5MmTVc4rPotuZmZmpQOs4seSql9U2rVrB21tbTYAEhsbq5EAq/iPNOI9L2WZOXMmAgMD2Xz1LcB68eJFfP311+zzb775RuEMzuLnybdv36p8niwuLmYfZ2ZmKk2vynlG/BhzdnZW2ONdnKurKxtgVeWcJ0/FgIXoB7rqVBPtSLxM8eCmIm3atIGOjo5UEEec+LHx+PFjlY+N7Oxs9rGsY4PD4WDAgAE4d+4cgPKAqijAWlpaigcPHgAoD6Tp6elBT08Pbm5uePr0KQIDAyV+9KzY21WW2jh3qfo5Wpn3ytnZWaV0laGrq4tPP/0Un376KfLy8nDv3j08fPgQISEhCA4ORk5OjkT6x48fY/jw4Xjw4IHUZ3xlNWnSRGka8XVV57WEpr179w4rVqzAmTNnpHpyK6LKtUx1qq3r0Yo/zMuiynu7bNky9g6Ihw8fws3NDR07dsSwYcMwYMAA9O3bFxYWFqpsAiENGgVYCSENio6ODqZMmYJu3bqhY8eOKCgoQHx8PNasWYPdu3drrF7r16/Hhg0b2OclJSV4+/Ytbt++jZ9//hnx8fHIzs6Gt7c3zpw5g/Hjx9dYXWT10tXX14e5uTmcnJzQu3dvuLu7y+xZI367Z0FBAXsbrLry8vIUBlirctu3IuK/zKvSM0ZEdBsZAKkvR7JUpv6V6dmlbh7xXqjiCgoKMGzYMPZLuDoq9lCTpTLbJquu4kEGa2trtcsUJ34sl5WVVelYrqzKHI/a2towNzdngyyqHI/VLSQkhO39q6OjAy8vL4Xpp0yZgs8//xylpaV48eIFHj9+LLf3Z3X59ddfJYYwkGXmzJlyhzYQefbsGWbOnMn2NPL09MTGjRsV5hE/ttLT0yt1bKlyXKlynqmtc548FX/YrInjtSbakfhzVcvU0tKCmZmZwuC4+LHx5s0bvHnzRqWyxck7Njw8PCQCrCtXrgQAPHjwgP1RSLynvoeHB54+fYqMjAw8f/6cDU6qEmCtjXOXqp+jlXmv1GkLVWFmZoZRo0Zh1KhRAMo/14KCgrBt2zaJ4W4iIyPx66+/4ptvvqmW9ar7mVtd1xKaFhUVBQ8PD7ZnrjpUuZapTrV1bq6u9/bzzz9HdHQ0/v77b/a1p0+f4unTp/jll1/A5XLRrVs3eHt74+OPP66R4WAIqQ8owEoIaZAcHR0xZ84c/PnnnwDKb2f97bffYGxsrOGaldPX10ebNm3Qpk0bTJ8+HYMGDcKTJ08gEAjw8ccfIyIiokbGIAWq1kv3/fv31VIHZWOvqdrLSl3iF9DqXHSKp1XlIrym6l9TvvzyS4ng6ogRI+Dl5YUuXbrAzs4OxsbG0NPTY5fPnj1b5WEmqpP4vhevT2XU1rGsSG0dj9VN/L0XCARo3bq10jzivfoOHjxY4wHWyMhIpYFNZbfFZmZmYuzYsWyP7s6dO+PQoUNKx8mrjmNLlQCGKucZTR9j1tbWMDY2Zm/FFe/BWV1qYht5PF6lylR2XqqOY0PeOUc8GCoah1VLSwt37tyRmcbDwwPbtm0DUB5UdXFxkRp/VXxsV3G1cVyp+jlamfeqqp8flcXhcNC/f3/0798fu3fvlhi3d/fu3dUWYP0QCQQCTJ06lQ2u6unpYebMmRg9ejQ6dOgAW1tbGBgYQEdHh83TokWLSv3IUR00fW5WF4fDwY4dO+Dl5YU//vgDV65ckVi/UCjEo0eP8OjRI/ZuKFXGmCakoalf3wAJIUQN4uPTlZSUSHxpqEtMTU1x6tQp9had7OxsfPnllxqulWziv0g7OzuDYZhK/bVo0ULj9VfnNnjxtLU5RldtyMrKwr///ss+/+WXX3D16lXMnj0bbm5usLKykvoyqs6+q07i+76qt/OJHwtGRkaVPpbl9fBStw715Xjk8Xg4fvw4+1woFCIvL0/pn3hQ6Pjx4xJBkbqIz+fD09MTCQkJAMpvs7xw4YJKt/CKv6+jR4+u9LFVHTR9jGlpaUmMAajqpHjqqIltNDU1rXKZsojXdfHixZU6LkTHZEWurq5sj2HROKyA9PirIgMGDJAaFuDevXvsLfxOTk4yJ3GruB2aPndV5r3S1GeYuHnz5mHIkCHs86SkJLx9+1aDNdIMdW7jV+TSpUt4/vw5gPI7K27fvo1///0XEydORNu2bWFqaioRXAU0exzUpTakjgEDBuDs2bPIzc3FzZs38c0332DAgAESw0Dl5ORgxowZOHv2bK3XjxBNowArIaTBqnjhkZKSopmKqMDR0RGrVq1in584cYL9clSXiI/rlZ6ersGaVI74beVJSUkqz94rPkFZVW9Nr2tu377NfsFxdHRUOkkLoNrEVjVBfCyxpKQkibFQ1SV+LL9//77aerSqQ/xYio+PVylPRkaGxBes2j4eL1++LDUzvLqys7Nx+fLlaqqRbAcOHFAaqBIftqWiRYsWsePG6unp4fz587C3t1dp3XXpPFmZYwyo3nOe+I8QycnJEhM9VYeaaEfi4yHKC2hWlJ2drXSM2Zo8NkTjsIoEBARIjL/au3dvid5vlpaW7ESdonFYVRkeAKhb567KvFfqtIWaNHz4cInndfk6VRXix5eisYjFVdeEWeJDwsyYMQN9+vRRmL6oqEijk3XV9+tRfX19DB48GN999x3u3LmDtLQ0bNmyReJHyLraWYSQmkQBVkJIg1VxbCIDAwMN1UQ1K1asYHufKPvyrynit9RmZGQgLi5Og7VRX5cuXdjHPB4P4eHhKuUTn6lVvIyGQLzHTNeuXZXe/lxcXKzyfqtu4sdfWVkZ7t+/X+myOnbsKHFOUGU23uomfiyp2rNPvJ4cDgedO3eu9nopIj48wLRp09TqeTd37lyZ5dQ127Ztk+jV/e+//yqdlVuc+HH69OnTKv0QUFXix1hCQoJKQT2BQCBxx0dVz3k+Pj4SPce2b99epfIqqol2JP48NDRUpV52qqxb/NiozJjXyogHRQMCAvDw4UN28jRZAVPRa6JxWFUNsNalc5d4OarWpSZ6UldGxXFmK/awrG/Et0eV8UF5PB5evXpVLesWv5YRTfCmyMOHD1Ua4kd8qIrqHHu2oV2PWlpaYtWqVdixYwf7WlxcnERAmJAPAQVYCSENlqj3kUhVZhyvDSYmJuwMnUD57U5Pnz7VYI2k2dvbo3379uzzuhwkkcXJyUmiF6T4rc7yvHz5kp1NGwD69+9fI3XTFFV7mYicOHFCI+N+AuUTtInPOr1nz55Kl6WrqysRQNDEsSx+LN24cUOlmeOPHDnCPnZxcanVWwQzMjJw9epV9vnkyZPVyj9lyhT28dWrVys1EUlN8/Pzk+jFvXbtWqUTYVXUs2dP9vbPikMq1LYePXqwvcoYhsF///2nNM+NGzckArFVPefZ2dlJjMV38uRJXLt2rVJl5eTkSPWgrol2JF5mTk6O0gnTgPJzozKDBw9mJ5BMTEyEv7+/0jzqqDgO661bt9jn4hNcyUrv6+srEVhXFGCtS+euinVR1itRKBTi1KlT1bLuqoqJiZF4Lm9IhvqiefPm7OPIyEil6a9du1Zt1xPqXsuoOheBkZER+1j0Y0V1aKjXoxMmTJB4npaWppmKEKIhFGAlhDRIsbGxEhdPtra26NSpk8bqo6olS5aw44kxDINNmzZpuEbSli9fzj7+7bff8OLFCw3WRn1z5sxhH+/atUvpmGfiQzc0btwYY8aMqbG6aYKtrS37+OHDhwp7auXm5mp8Eo7PPvuMffzff//h5s2blS5L/Fg+evSoRO+t2uDt7c3eTsfj8ZT2Wn/8+LFEYOCTTz6pyepJOXr0KPsl1sjICCNHjlQr/8CBA9nZkvl8Po4dO1btdayK6OhoeHl5sW1g/Pjx+P7779UuR1dXF4sXL2aff/311xr7kmlmZgZPT0/2+Y8//qjwNvaysjJ89dVX7PNOnTpVSy+p77//XmL265kzZ6o9LnpERAS6deuGxMREiddroh21b98eXbt2ZZ9/++23Cs+NUVFROHr0qNJtaNq0Kby8vNjnS5cuRVFRkdJ8qnJzc5MYh/Wff/4BABgaGqJHjx5S6cXHYf3999/Z9t26dWuFwb66dO6aOnUq+yNCSUmJ0uumvXv3VvvdN4GBgWqPn5qbmytxzLRr104i4FYfifcmTkpKQnBwsNy0fD6/Wu/UEr+WuXfvnsK0Dx8+lAj4KyL+nsTGxlaucnLUl+tRdXruVhxPVnQ+IuRDQQFWQkiDwufzcfLkSXh4eEiMqbh27Vqltz7XBebm5hIBpLNnz7KD9tcVPj4+6NixIwCgsLAQQ4YMUWlMvWfPnmHu3LnYv39/TVdRoc8++4ztXVZUVIQxY8YgNTVVKh3DMFi7di0uXbrEvrZq1Sq1ZnutD8TH7EtMTMTmzZtlpsvIyMCoUaM0Nv6qyJw5c9he1AzDYNKkSfD19VWY58mTJzhz5ozU60OHDmWDhAKBABMmTFBpUob4+HisXLmyUsE3cebm5li0aBH7fMeOHRK314mLiYnBpEmT2FsamzZtKvHlrDaI9/IdNWqU2sOuaGtrS/RuqUs94PPy8jBu3Di295ubmxuOHDlS6c+NFStWwM7ODkD5uKMeHh549uyZ0nwPHjzA1KlTVeoxqapVq1axE5CkpKRg0qRJMoOsPB4Pc+bMkRj/++uvv66WOtjZ2eHw4cPs/szKysLAgQOxbds2pROepaenY8mSJejevbvMwFhNtaM1a9awjx8/foxFixbJHCcxKSkJEyZMUHkMxY0bN7K3UkdGRmLo0KFKAytCoRA3btzA8OHDER0dLTedaJZ6EVFgv+L4qyLi47CK/wigbPK+unTusrKykhh+5Pfff5d7bgkICJC4U6i6+Pn5wcnJCfPnz8fjx4+Vpk9KSsLo0aMl9vm8efOqvV61rXnz5hI/yCxZskTmDwilpaXw8fGp1rkG3N3d2ccnT56U6L0tLjQ0FOPGjVNpeABA8jb88PDwau11Xl+uRwMDAzFmzBgEBAQoDLYKBAKJ86aNjQ3atGlTG1UkpM7QVp6EEELqjoiICIwYMULqdYFAgNzcXERFRUldzHl6ekp8EVDkxo0bMstXZOLEiZg/f75aeRRZvnw5tm3bhvfv34NhGHz//fd1qqeXrq4uzp49ix49eiArKwvJyckYMGAABg0ahDFjxqBdu3YwMTFBYWEhUlJSEBYWhps3b7I9XcV7BWlC06ZN8eeff8LHxwdA+RdcZ2dnzJ8/H/369YOhoSFiYmKwb98+ibGu+vXrJ9HjsaFwdHTEuHHjcPHiRQDAhg0b8OjRI8yYMQP29vbIy8tDUFAQ9uzZg+zsbDRt2hSdOnXClStXNFJffX19/Pfff+jTpw8KCwtRUFCAMWPGYNCgQZg0aRKcnJxgYGCAjIwMhIWFwdfXF2FhYVi6dKlETz6RI0eOoEePHnj9+jXy8vLg6emJ7t27Y+LEiXBzc4OZmRmKioqQnp6O8PBw3Llzh+15t3r16ipvz3fffYcrV64gKioKQPkXrnPnzmHmzJlwdHREfn4+bt++jd27d7PnNi6Xi71790rMnl3TIiIiJMaIU3d4APF8e/fuBQCEhYUhMjISrq6u1VHFKgkLC5O4XZfD4ai1jRVvebeyssKZM2cwcOBAFBcX4+XLl+jYsSPGjBmDESNGoGXLljAyMkJ+fj4SExMRGhqK69ev482bNwCAjz/+uHo2DOW9UL/55husX78eAHDr1i04OztjwYIF6NatG3R0dBAZGYl//vlH4o6EadOmyWwzlTVixAicOHECPj4+KCkpQWFhIZYtW4YtW7Zg9OjR6Nu3L2xsbGBoaIj09HQkJCTg+vXruHPnjtLbf2uiHU2ePBljx45lgxq7d+/Go0ePMHfuXLRv3x7FxcUICgrCzp07kZubiz59+uDt27dISkpSWNfWrVvj4MGDmDx5MoRCIe7fvw8nJydMnjwZgwYNgoODA/T09JCXl4f4+Hg8efIE165dY4NxynqTeXh44MKFC1KvKUpfcTgiZQFWoG6du77//ntcvHgRiYmJYBgGs2fPxpkzZ+Dt7Y1mzZohIyMDly9fxuHDhyEQCODl5aXScBnq4PF42L17N3bv3o02bdrAw8MD3bt3h62tLczNzVFcXIy4uDgEBgbi3LlzEteqPXv2lPhxvT5buXIlOyRISEgIOnfujKVLl8LZ2RklJSUIDQ3Fnj17EB8fj/bt28PAwAChoaFVXq+XlxfWrl2L1NRUCAQCjBw5Ep9++ilGjBgBCwsLpKSk4MqVKzh69CjKysowfPhwREVFSfWIr6h9+/bo1KkTwsPDwTAMBg0aBDc3N9jb27M/XAHl5wfxCddUUV+uRxmGga+vL3x9fWFvb4+RI0eiW7dusLe3h4mJCQoKChAZGYmDBw9KdApZu3atxBi2hHwQGEIIqeN8fHwYAGr/6erqMuvXr2d4PJ7C8t3d3StVvuhv6dKlMst1cHBg06xfv16tbV65ciWbl8vlMtHR0WrlV7SNPj4+VSpLJDY2lunQoYPa+2vnzp0yyxPfX/7+/mrVpTJ5t23bxnA4HJXq3LdvXyY3N1dheeLp4+PjVaqDv78/m8fBwUGlPOquR/y9379/v8w0ycnJjL29vdL9YGZmxgQFBUm0SXnHdmW2bf369Sofp0+ePGFsbGyq3E4ZhmHS0tKYfv36qX0sr169WqXtUiY5OZlxcXFRaZ06OjrM8ePHlZZZlfYky4oVK9jyDAwMmMLCwkqVw+PxGAsLC7asL774QmL5/v372WXu7u5yy1HluFaH+PFamT95Hj9+zNjZ2ald3tWrV2WWV5nzjMgXX3yh8vonTZrElJaWqlW+qoKDgxlnZ2e194mBgQGzdu1apqioSGa5NdGOCgoKmF69eiktr1mzZkxCQoJa7e7KlSuMmZmZ2vvhxYsXCssNCwuTynP37l256c+dOyeVPikpSem+YZjq3+fqfAZUFBUVxVhbWyutx6BBg5iYmBiV2q+qvv3220qfO4YOHarw+kKVz9v4+Hi1t0fdzwhV6iHi5eWldLubNm3KREdHq3QuV/V64tatW4yurq7SdXfo0IFJT09XeR88fvyYMTc3V1hmxfOxOp9Rmr4eVbZ/K/P5uGDBAkYoFCpdNyENDf2kQAhpEDgcDkxMTODo6Ijx48fj999/R2JiIjZs2FAvZ2VduXIle/utUCis8q3INaFVq1YIDQ3Fn3/+iZYtWypMa2xsjLFjx+L48eOYPXt27VRQiSVLluD+/fsKJwlo0qQJfv31V/j7+7O3cTVEtra2ePjwIcaOHStzOZfLxfDhwxEWFoa+ffvWcu1k69KlC6KiorBq1SqFk6Xo6+tj4sSJCicqaty4MQICAnDo0CG4uLgoXK+enh4GDx6MPXv2YN26dZWtvgTR/l+/fj0sLCxkpuFyuRg5ciRCQ0Ph7e1dLetVVVlZmcRYgSNGjJCY+EMdOjo6EsMEiHoTNVTdunVDVFQUvvvuO6XjK1pYWGDq1Km4dOkShg4dWu112bp1K65cuaJwPPIWLVrgwIEDOH36dI3dftqrVy9ERETg8OHD6N+/v9LP6DZt2mDTpk2IjY3FDz/8IHdoippoR8bGxvD398fq1atlrldLSwsTJkzAkydP1J5Ic+TIkYiOjsaKFSvk1lfExsYGc+bMgb+/P9q2baswrZubm0R58sZfFREfhxUo72ErGt5Cmbp07mrfvj3Cw8MxceJEmb3mjI2N8eWXX+L69evVfl347bffwt/fH0uXLoWLi4vSoUW4XC4GDhyIkydPws/Pr8FdXxw5cgTr1q2Dnp6e1DItLS1MnDgRYWFh1X77+KBBgxAQECD3rghDQ0MsWLAAjx49grW1tcrlduvWDc+ePcO6devQq1cvWFpaSvReraq6fj3q6uqKDRs2oFu3buwkffJ06dIFZ8+exc6dO+vF0GyEVDcOw6gxajEhhBAix6tXrxASEoL09HQUFBTAyMgITZo0Qbt27eDq6lqnA93v3r3D3bt3kZKSgtLSUlhbW8PZ2Rk9evT44G5vEt3CmJKSAgMDA9jZ2aFPnz4qf+HWBIFAgAcPHuDly5fszPSWlpZo164dunfvrvZYoaLJOVJTU5GXlwcDAwNYW1ujTZs26Nixo9rlqaOsrAz379/Hy5cvkZWVBUNDQ9jZ2cHd3V2tL4SkboqIiMDTp0+RkZGBoqIiGBsbw87ODu3atYOzs3OtnW9ev36N4OBgpKWlQSAQwNraGl26dGHH165NBQUFCA4ORkpKCjIzM8Hj8WBhYQE7Ozt07969UhP/1EQ7KigowM2bNxEfHw+GYdCsWTP069evWs6NQqEQT548wfPnz5GZmYnS0lKYmpqiWbNm6NChg9Kgal1Ql85d7969g7+/P969ewcjIyM0b94cgwYNgrGxca2sPzc3F8+fP0dsbCyysrJQVFQEAwMDmJqawsnJCZ06dVL4w2BDkZeXh9u3byM+Ph4CgQDNmjXDgAEDavx6gmEYhISEICQkBDk5ObCwsIC9vT08PDxq7RiorLp+PVpYWIjw8HDExsYiIyMDpaWl7OdYt27d4OjoqOkqEqJRFGAlhBBCCCGEEEIIIYSQStL8zyCEEEIIIYQQQgghhBBST1GAlRBCCCGEEEIIIYQQQiqJAqyEEEIIIYQQQgghhBBSSRRgJYQQQgghhBBCCCGEkErS1nQFSPUTCoVITk6GiYkJOByOpqtDCCGEEEIIIYQQQki9wjAMCgoK0LRpU3C5ivuoUoC1AUpOToa9vb2mq0EIIYQQQgghhBBCSL2WmJiIZs2aKUxDAdYGyMTEBED5AWBqaqrh2lQ/Pp8PPz8/DBs2DDo6OpquDiFEBdRuCalfqM0SUr9QmyWk/qF2S0jdl5+fD3t7ezbOpggFWBsg0bAApqamDTbAamhoCFNTU/ogIqSeoHZLSP1CbZaQ+oXaLCH1D7VbQuoPVYbfpEmuCCGEEEIIIYQQQgghpJIowEoIIYQQQgghhBBCCCGVRAFWQgghhBBCCCGEEEIIqSQKsBJCCCGEEEIIIYQQQkgl0SRXDRifzwefz9d0NaqdaJsa4rYR0lBRuyWkfqE2S0j9Qm2WkPqH2i0hdZ867ZPDMAxTg3UhtWjHjh3YsWMHBAIBYmJicOzYMRgaGmq6WoQQQgghhBBCCCGE1CtFRUWYPn068vLyYGpqqjAtBVgboPz8fJiZmSEzM1PpAVAf8fl83LhxA0OHDoWOjo6mq0MIUQG1W0LqF2qzhNQv1GYJqX+o3RJS9+Xn56NRo0YqBVhpiIAGTEdHp0GfqBv69hHSEFG7JaR+oTZLSP1CbZaQ+ofaLSF1lzptkya5IoQQQgghhBBCCCGEkEqiACshhBBCCCGEEEIIIYRUEg0RQAghhBBCCKk1DMOAz+dDKBRquioNBp/Ph7a2NkpKSiAQCDRdHUKICqjdElKztLS0oK2tDQ6HUyvrowArIYQQQgghpMYVFRUhLy8PBQUFFEyoZgzDwMbGBomJibX2RZIQUjXUbgmpeXp6ejA3N4eFhUWNtzMKsBJCCCGEEEJqVEFBAZKSkqCjowNzc3MYGRmBy+VSUKGaCIVCFBYWwtjYGFwujQJHSH1A7ZaQmsMwDMrKypCXl4e0tDTweDzY2NjU6DopwEoIIYQQQgipMUVFRUhKSoKpqSmaNm1KQdUaIBQKwePxoK+vT4EaQuoJareE1DwTExPk5OQgNTUVBgYGMDMzq7F1USsmhBBCCCGE1Ji8vDzo6OhQcJUQQgghtc7CwgKGhobIz8+v0fVQgJUQQgghhBBSIxiGQUFBAUxNTSm4SgghhBCNMDY2RlFRUY1OsEkBVkIIIYQQQkiN4PP5EAgEMDIy0nRVCCGEEPKB0tfXh1AoRFlZWY2tgwKshBBCCCGEkBoh6ilC4wsSQgghRFNE1yHUg5UQQgghhBBSb9HwAIQQQgjRlNq4DqEAKyGEEEIIIYQQQgghhFQSBVgJIYQQQgghhBBCCCGkkijASgghhBBCCCGEEEIIIZVEAVZCCCGEEEIIIYQQQgipJG1NV4DUHD6fDz6fr+lqVDvRNjXEbSOkoaJ2S0j9Qm2WVBc+nw+GYSAUCmt05t4PHcMw7H/az4TUD9RuCak9QqEQDMOAz+dDS0tL5XzqXAtzGFGrJvXejh07sGPHDggEAsTExODYsWMwNDTUdLUIIYQQQsgHSltbGzY2NrC3t4eurq6mq0M+MGPGjMG9e/fQt29fXL58WWq5hYUFAGD16tVYs2ZNbVevxgQGBmL8+PGwtrZGeHh4rX0nDAoKwtixYwEAly5dQr9+/SpdlrL3jmjOsWPHsHjxYgDA06dP0bx5c43W588//8T69evpWCEK8Xg8JCYmIjU1FWVlZSrnKyoqwvTp05GXlwdTU1OFaakHawOyePFiLF68GPn5+TAzM8OwYcOUHgD1EZ/Px40bNzB06FDo6OhoujqEEBVQuyWkfqE2S6pLSUkJEhMTYWxsDH19fU1Xp8FiGAYFBQV48uQJhgwZIjedkZERmjZtih49emD27NkYNGhQLday9mlra7P/FX0v0tPTazDfm4RCIb7++msAwMqVK2FjY1Nr6xYP5BoaGlZpn6r63tVnonZrYmICDoej6eqoTPxcbmxsrPH3Z9myZfjzzz9x79493Lx5E5MmTdJofUjdVFJSAgMDAwwYMECt65H8/HyV01KAtQHT0dFp0F+KGvr2EdIQUbslpH6hNkuqSiAQgMPhgMvlgsul6R9qiuj2YmVBmvfv3+PVq1d49eoVjh49ilmzZmHfvn1q3S5ZXyk6/kTHaENw4sQJREZGolGjRli8eHGtbpf4umS1+Q0bNmDjxo0A/v/2eHXLbUjE22192kZl73NtMzU1xYoVK7Bu3Tps2LABkyZN0nidSN3D5XLB4XDUvrZVJy0FWAkhhBBCCCGkgVm4cCEWLVrEPmcYBtnZ2QgODsbvv/+O9PR0HDp0CPb29ti8ebMGa6o5DXG0vO+//x4AMH/+fBgZGdXquj08PBrkPiV13+LFi7Fp0yY8f/4c58+fp16sRCMorE8IIYQQQgghDUzjxo3h4uLC/rm6usLd3R1r1qyBv78/e4vkn3/+CR6Pp+Hakupw48YNREVFAQBmzpyp4doQUnvMzMwwatQoAOXnNEI0gQKshBBCCCGEEPIB6dChA0aPHg0AKCgowMuXLzVcI1Id9u7dCwDo0qUL2rVrp+HaEFK7ZsyYAQC4c+cOXr9+reHakA8RBVhJvZPPy4eQEWq6GoQQQgghhNRbjo6O7OPS0lKZaeLi4vDrr79i7NixaNGiBQwMDGBgYAAHBwd4eXnh2rVrSteTm5uL77//Hr1794aFhQV0dHRgbW2NDh06YOLEidi5cyfS0tLk5i8pKcH27dsxePBg2NjYQFdXF40bN8aQIUOwd+9etWaDrojD4YDD4WDDhg1Syw4cOMAuT0hIgFAoxO7du9GnTx9YWFjAyMgIbm5u+P7771FUVKR0XQKBAAcPHsSYMWPQtGlT6OnpwcrKCv369cNvv/2G4uLiSm8HUL6fLl68CADw9PSUmeb06dPsNskLqrdo0YJNc/78eZlpRowYAQ6Hg169ekm8HhAQwOYNCAhgXxftS9H4q8D/73vxv4SEBLnb9+7dO6xYsQKtW7eGgYEBrKysMHz4cFy9elVuHnXFxsZi+fLlcHV1hZmZGQwMDNCyZUvMnj0bISEhcvPJ2u6TJ09i8ODBsLa2hoGBAdq2bYtVq1YhOztbpbpcuXIFM2fORMuWLWFkZAR9fX04OjrC09MTBw4ckHvMCYVCHDlyBKNGjWLbi7W1NQYOHIi///5bpd7qOTk5WLNmDdq1awcDAwO2vZ06dUqluotUpe2KjsPZs2cDAJ48eYLZs2fD0dERenp6MsebHj16NNsz//jx42rVlZBqwZAGJy8vjwHA5OXlaboqNWLEnq5Mp/0uzKC9XZkp+wcxi49PY3648hVz4skRJiItgsktyWWEQqGmq0kIEcPj8Zjz588zPB5P01UhhKiA2iypLsXFxUxUVBRTXFys6ao0aAKBgMnJyWFu3brFAGAAMOvXr1eYZ8qUKWza1NRUqeVxcXHsckV/M2fOZPh8vsx1REVFMU2bNlVaxl9//SUzf3h4OOPg4KAwb/fu3WXWn2EYxt3dnQHAuLu7y1yuaF/t37+fXf78+XNm8ODBcuvQo0cPprCwUPaOZhjmzZs3TMeOHRVuR+vWrZno6Gi5ZSgTEBDAlnXr1i2ZadLT09k0O3fulFqekJAgUaelS5dKpeHz+YyxsTEDgFm9erXEMn9/fzavv78/+7r4vlT0Fx8fz+YRf++CgoKYRo0ayc33yy+/VGqfifvll18YHR0duevgcDjMN998IzOv+HbfunWLmTlzpsL3OSUlhWGY/2+3AoGALSszM1PhsSb6279/v1Q9srKymL59+yrM1759eyYhIUHuflDWZufMmSPxfoq/Z+Kq2nZFeX18fJidO3cy2traUvll6dWrFwOA6dOnj9xtJB+myl6PqBNfo0muSL3CMAxytEpQxuEgXasU6UjHi9J0ID0SSL8IRJanMxBy0IjRgzXXDI31G6OZaQu0tnFG2+adYGfeEgbaBprdEEIIIYQQQjTk5cuXuHz5MgCgV69eaNKkiVQagUAAXV1dDB8+HEOHDkWHDh1gaWmJ7OxsxMTEYMeOHXj+/DmOHDmCli1bSvROFPnoo4+QnJwMHR0dzJ07FyNHjoSNjQ2EQiGSkpLw4MEDnDt3TmYdY2Nj4e7ujry8PJiammLx4sXo0aMH7O3tkZWVhYsXL+Kff/7B48ePMX78eNy9e1et2Z7VMXfuXDx48AA+Pj6YOnUqbGxs8PbtW/z8888IDg7Go0ePsHnzZvz4449SebOystCvXz8kJiZCT08Pc+fOhbu7O1q0aIHCwkL4+flh27ZtiI2NxciRIxEaGgozMzO163j37l0A5T1Du3btKjONqOdwVFQUAgICsGDBAonl4r1OZT0HynsSFhYWAgDc3d1VqtuECRPQrVs3/P3339i5cycAIDIyUiqdnZ2d1GspKSmYMGECuFwufvrpJ/Tr1w+6uroICgrCd999h9zcXKxduxYjR46Es7OzSvWp6JdffsGqVasAAG5ubli4cCGcnJxgbm6O6OhobN++HcHBwdi0aRMaNWqEJUuWyC3rm2++wf379zFhwgTMmjULDg4OSEtLw44dO+Dr68v2kpXVw7KoqAgDBw5k903Xrl0xb948uLi4QE9PD4mJiQgMDMR///0nlVcgEGDMmDEIDg4GUP7efPbZZ3B0dERycjL27duH8+fP48WLFxg8eDDCw8NhbGwsUUZ+fj6GDx+O5ORkAICXlxd8fHzQuHFjxMTE4LfffsP+/fvx7NkzhfuzOtvu48ePceTIEdjb22PlypXo1q0bysrK2OO9oh49euDBgwd49OgRSkpK2B6thNSKSgZ/SR3WkHuw5hVmM4t2tGIm7G7DdN/XgXE54FKpv/57XZiJ/3Zl5u0byHxzzJvZ7bua8X9ykElKi2T4ZdRbh5DqRr3hCKlfqM2S6kI9WGuHrB6sCxcuZCIjI9m/iIgIJjAwkNmyZQtjY2PDAGDMzMyY4OBgmWUWFhYyycnJctcpFAqZ2bNnMwAYIyMjJjc3V2L569evlfZQFZWTnZ0t9XqfPn0YAEznzp2ZjIwMmXmvXr3KcLlcBgCze/duqeXV1YMVAHP48GGpNCUlJYyLiwsDgLGyspLZk3f69OkMAMbBwYGJi4uTWY/Q0FDGyMiIAcB89dVXMtMoM3LkSAYA06pVK4XpFi5cyABgbGxspJbNmTOHAcCMHTuW7bWZlZUlkWbLli0MAEZLS4vJz8+XWCavB6vI+vXrFfY+FCd670T7LikpSSrN3bt3GQ6HwwBglixZorRMWZ4/f872XF2/fr3MOyEFAgHbK9XY2FjqeBXfbgDM5s2bpcoQCoXMsGHDGACMtrY2k56eLtWDdfny5WwZixcvlntXZmlpqVTPz+3bt7N5Z82aJTPvV199xaZZtWqV1PKVK1eyy3/44Qep5Twej90G0Z+sHqzV0XbFe7+6uroyOTk5Msup6ODBg2y+Bw8eqJSHfBioByshFZgaWeCPT57h6rnjcG7VFCkZMXiXFY2MokTk8DOQiwJka/GQqsNBqrY2ymSMzQIAOVpADkrxChkALwPIeAZk+AKRgBbDwFoAWDN6aMw1gY1+EzQ3awEn23ZwtO0Iq0bO4Ojo1fKWE0IIIYQ0bGP/CkJGgeyxQBsSaxM9XPq8X42vZ+fOnWxvwYq4XC4WLFiA5cuXo02bNjLTGBkZwcjISG75HA4Hv/76Kw4fPoz379/j5s2bEmN/pqamso8HDBigsBwLCwuJ1+7evYv79+8DAA4ePIhGjRrJzDtixAhMnjwZJ0+exIEDBzB37ly566mKSZMmYebMmVKv6+np4bPPPsOCBQuQlZWFqKgouLm5scsTEhLY3obbt2+XGPdWXOfOnbF48WL8/PPPOHDgAL7//nu165iUlAQAaNy4scJ0Hh4e2LlzJ1JTU/Hy5UuJybBEPVZnzZqFZ8+eIT4+HoGBgZgwYYJUmi5dusDExETtelbGX3/9JbN3a79+/dCzZ088ePBAbo9GZX799Vfw+Xx069YN69evlzm2J5fLxV9//YVTp06hsLAQp0+flnusde3aFV999ZXU6xwOBytWrICfnx/KysoQHByMMWPGsMtzc3Pxzz//sGVs27ZNZl0AQFdXV6rX+Y4dOwCU91Levn27zLwbN27E2bNn8fLlS+zZswffffcd9PTKv9fyeDx2kjQ3NzesWbNGKr+Ojg727t2Lli1bgs/ny6xbTbTdHTt2wNzcXO5yceLHf1xcHHr27KlSPkKqAwVYSf3D1QJjYInmnQahlc5wqcUMwyAvNwupb6KRkByBd9nRyCx6ywZgc7R5yNAGMrS1ZBYv4HCQqg2kggcgC+BnAZlRQOYVIBLQFwphWwY0ZnRhrWUKW31rNDdzgJNNOzjYuMHYqg2gbw7I+UAkhBBCCCHSMgpKkZpfoulqfBCEQiFOnDgBfX19/PTTT2yQRRE+n4+0tDQUFBRAIBCwr1tZWSE9PR1Pnz6VCLDa2tqyjw8cOIDffvtN5fqJJmtq27YtXF1dFaYdMGAATp48icePH6OsrAza2tX/FVc0O7ks4rfjx8XFSQRYfX19IRAIYGhoiJEjRypcx4ABA/Dzzz8jOTkZb9++RfPmzdWqY0ZGBgBIBasrEr+tPyAggA2wJiYmIj4+HhwOB+7u7vDw8EB8fDwCAgLYAKtAIMC9e/cAlAdqa4O5uTlGjx4td3nXrl3x4MEDxMXFVar8S5cuASifGExeQFNUD1dXV4SEhCA4OFhuQHD69Olyy6l4rIi7ffs2O3HVkiVLoKUl+7uqLMnJyXjx4gUAYOrUqXID39ra2pgzZw5Wr16NnJwchIaGonfv3gDKh37IyckBAPj4+MjdhmbNmmHYsGHw9fWVuby62669vT369++vsBxxlpaW7GPxH3kIqQ0UYCUNDofDgblFI5hbNEK7Tn2lljMMg4y8QiS+jUbcu1AkZ0cjqygRuWXpyGMKkKNdigxtBoVaXJnll3C5iNcF4lEGIBsoywayooEsP+A5YC4QwLZMiMaMLppwTWCrbw0Hcwe0btIOzaxdoGPRAjCxBbSo+RFCCCGEiFibfBh3CNXWdq5fvx4bNmyQeK24uBixsbE4fPgwfv/9d/zxxx8ICQnB9evXYWhoKFUGn8/H7t27cfjwYYSFhSmcgTwzM1PiuaOjI/r374+7d+/i999/x/Xr1+Hp6QkPDw/06tVL5vpERDO2R0dHKwx6Vaxrdna20h6clSHey7Mi8YBOQUGBxDLRdhQVFakV+E1NTVU7wCqanV5ZgLVJkyZo164dXr58KTEOq6hnaocOHWBtbQ0PDw/s379fYhzW0NBQ5OfnA1B9/NWqcnJyApcr+3sZ8P/7v+K+V8WbN2/YwPTatWuxdu1alfIpCtxV9lgJCwtjH6sTUAQgMSaqsh6b4sufPXvGBljFx8Tt3r27wjJ69OghN8Ba3W1X/AcLVYgf/+/fv1crLyFVRREe8sHhcDhobG6Cxubd0NWtm9TyMoEQafkliE2MQdy7UKRkv0RW0RvklWUgn5OPXK1SZGoz4HNlf2DkamkhV0sLL8AAyAeE+UD2ayD7NjhRDBoLBLArE6CJUPt/AdhGcDBrjpaN26JJo/bgmjcHzJoBerVzyw0hhBBCSF1QG7fNf+gMDAzg6uqKn3/+GU5OTpg3bx6CgoLwww8/YPPmzRJps7OzMWzYMDx58kSlsouLi6VeO378OKZMmYLg4GBERUUhKioKmzZtgo6ODnr16oXp06dj9uzZUhPRpKenV2r7RD0Aq5uiYLB48E+8Zy9Qu9uhr68PHo8n832oyN3dHS9fvsSdO3fY10SPRT1TRf8jIiKQnZ0NS0tLNo2WlpbaQcDKUrTvgf/f/0KhUO2ya+L9qeyxIv4DhXjvb1WIguuA8iEibGxsZOZTpwxZk+KJVPc+VfaDQUXix39NTXpHiDwUYCWkAm0tLuwsDGFn0Qnubp2klpeWCZCUU4So5DjEJ4chLeclst+/QZ4gA4WcPORplSJHWwhGxi92DIeDNG1tpLG/YBcBeAvkvQXygqATw8COXwa7sjLYCLlowjWGrV4jtG/iDKdWQ8G17wkYWdXo9hNCCCGEkIbvk08+wZo1a5CdnY19+/ZJBViXLl3KBlcnTJiAjz/+GG5ubmjcuDH09fXZ3mnNmzdHYmIiGIaRWoednR3u37+PW7du4ezZs7hz5w6ioqLA5/Nx9+5d3L17F1u3bsWVK1ckxoIVBZ86duyII0eOqLxNssbp1CTRdjRq1Aj+/v4q55M3Vqsi1tbWyM/PlwiUyePh4YF//vlHYhzWigHW5s2bo0WLFkhISGDHYRWl6dSpE0xNTdWuY10jHuT89ttvMWXKFJXyKRqbWNNU7TVaU2VUd9tVZ6gEQDJQrOq4rYRUFwqwEqImPW0ttLI2QSvrjkDHjlLLi3hliM/KR2RKHOJTnyMt5yVyit+goCwdBdx8FGiX4L2W9AUoAPA5HCTo6iBBV/RrGx9ACpCZApM0P7jwStFGaABns7bo0WoQrBw9AOt2gILbZgghhBBCCKmIy+XCyckJDx8+REpKCrKysmBlVf5Dfn5+Pjs504wZMxQGSkTjNioyePBgDB48GACQlZWFmzdvYvfu3bh9+zZev34NLy8viVukRfUoLCyEi4tLpbdR00TbUVBQgPbt26sdLFKHtbU1Xr9+rdL7UXEcVhMTE8TGxrLjr4p4eHjgwIEDCAgIwLhx49iJpGpr/NWaJnp/gPLejpo81sQng0pJSVEryC4+9EBaWprCtOLDG4jnE+8pmpaWJnfyO2Xr0HTbFT/+1R1mg5CqogArIdXMUFcbzraWcLa1BCA9BEFeMR8x6Zl4lh6P1+mvkJb7EnnFb1AoSMd7Th4KdErB50oHYAu0uAg2MEAwAJRFA9HRaPbsTzjzhHDSsUEnm67o3G4kdO17Afr1/xdlQgghhBBSs8rKymQ+fvXqFTtLuJeXl9z8L1++RGFhoVrrtLKygpeXF7y8vDB+/HhcvHgR4eHhePXqFZycnAAAnTt3xv379xEXF4fU1FSJ25rrk86dO+PYsWMoLS1FSEhIjc5o7urqigcPHuD169cQCoUKxy21tbVFmzZtEBMTg4CAALY3qmj8VRHxAGt4eDjy8vIAVH781eroXVmdWrZsCTMzM+Tl5bGTd2lKly5d2MeBgYFqBVjFA5kPHz7ERx99JDfto0ePZOYTn5Dq8ePHCoeAePz4sdxlmm67MTEx7GNnZ+daXTch1O2NkFpmZqCD7g62mNO9DzaP9sGeGT/i5KfHcGX+TQTMfYRrno+wve9FLHDahiFWy+DGHQm70mYwLJP+PSRJRwfXjfSwXTcHn2bfRK97KzD9YDds2NkJJ45MRlzwDjCZsYCMW7YIIYQQQsiHq6ioCFFRUQDKx2YV70EnHmxVNFHMrl27qlQHUa9WQHIMynHjxgEon5x227ZtVVqHJo0dO5YNKv7xxx81ui5RQKywsJCdUV4RUZD0zp077ERWFXumio/DevbsWQDlPZ8rO/6q+Fi7paWllSqjOmlpaWHUqFEAAD8/P5X2W00ZOHAgO/TAX3/9JTVGqyJNmzZF+/btAQAnT56U+6OHQCDAgQMHAJT3WBUP6nbt2pXtxXr48GGZQ34AwLt37+Dn5ye3Lppuu6Lgr62tLfVgJbWOAqyE1CEcDgeNTfXh3toRi/sMwu9jPsHRj37GtXlXcXvmI2zp/h9GNlqODoJuaFJiBu0KY7nzORxE6uvhjKEA3wuiMT5mFzwujsOCf9pj6x53XL+wFHmvbgC8mpkAgBBCCCGE1A8bNmxgJ4QZPny4xO3rrVu3ZgODBw8elBlsuXTpErZv3y63/PDwcISHh8tdzjAMbt68CaD8GrhFixbssmHDhqFHjx4AgF9++QUnT55UuC2RkZG4dOmSwjSa0LZtW3ZczxMnTuC3335TmD4+Ph7Hjx+v1LrEg57ivRTlEQVPU1NT2f1bMcDq4OAABwcHMAzDvtcdO3as9NiW4pM3vX79ulJlVLe1a9dCS0sLQqEQkydPRlJSkty0AoEAR48eVZimsszNzTF//nwAwJMnT7Bs2TK5QU4+ny81mdTixYsBABkZGViyZInMfBs3bmR/VJk7dy709PTYZXp6epgzZw6A8rb7yy+/SOUvKyvD3LlzwePx5G6Hptuu6NgfOnRotZVJiKpoiIA6orCwEFu3bkVISAhCQkKQlpYGHx8f9hcmQoz0dDCqQweM6tABwMcAgKScQlyLeYLQhACk5oUgi5OMbF3JD7xsLS3cM9DCPWQDubfBuXcLLQLK0EZgACejlujuOABuzhOgbeGgga0ihBBCCCE1IT09Hc+ePZN4raSkBK9evcKhQ4dw7do1AOW9Cr/77juJdFZWVhg1ahR8fX1x7do1DBs2DAsXLoSDgwPS09Nx5swZHDhwAC1btkRubi4yMjKk1h8eHo45c+age/fuGDt2LLp06QIbGxvw+XzEx8dj//79uHHjBoDyXm8VZ04/duwYevTogezsbHh5eeHIkSPw8vKCk5MTtLS0kJ6ejrCwMFy6dAkPHjzAF198gbFjx1bnLqwWO3fuREhICOLi4vDFF1/gwoULmDVrFpydnaGnp4esrCw8ffoU165dw+3btzFx4kRMmzZN7fW0aNECbm5uiIiIwK1bt9hgmTzit/nn5eVJjb8q4uHhgYMHD7LDA1Rl/NU+ffqwj5cvX45169bB1taWDea3aNEC2tq1G6JwdXXF1q1bsXz5ckRFRcHFxQXz5s3DoEGD0KRJE5SUlCAhIQHBwcE4ffo0UlJSEBkZiWbNmlV7XTZt2oQbN24gMjIS27dvR3BwMObPnw9XV1fo6uoiKSkJd+/exfHjx7F582bMnj2bzbtgwQIcPXoUwcHB2L9/P968eYNFixbB0dERKSkp2LdvH9sLuVWrVvjmm2+k1v/tt9/i5MmTSEpKwurVqxEeHo5Zs2ahcePGiImJwW+//YbHjx+jW7duCAkJkbsdmmq7r169QmJiIgBg4sSJVS6PEHVRgLWOyMzMxMaNG2Fra4tu3brB19dX01Ui9UAzC2N82tMd6Fl+MVQmECLsXTJuRgch9t1tpJe+RLpOLorEJtViOBzE6+ogHmW4LowBXsfA4NVutOExaKnVCM5WbujrPAbNWg4CtHU1tWmEEEIIIaQKdu7ciZ07dypMY21tjSNHjkiMvyiev1+/fnj79i1u3rzJ9jYVad68Oc6fP8/eYi3P48ePFY7Z2KdPH+zdu1fq9VatWiE4OBienp549uwZLl26pLCnW12d1d7S0hL37t3D1KlTcffuXQQGBiIwMFBu+qpsx9y5c/H555/jwoULKCoqgqGhody0dnZ2aN26NWJjYwFIj78qIgqwilR2/FWgvGf01KlTcfLkSfj5+Undah4fHy/Rk7m2LFu2DEZGRli2bBny8vLwyy+/yOzBCQC6uroSQx1UJ0NDQ9y+fRuenp4IDAzEkydPMG/ePJXyamlp4fLlyxg3bhzu3buH27dv4/bt21Lp2rdvj6tXr8LY2FhqmZmZGa5du4YhQ4YgNTUVx48fl+pRPXv2bLi7uysM4Guq7R47dgxAeZtTdl4ipCZQgLWOsLW1RVJSEuzs7FBSUgIDAwNNV4nUQ9paXHRv3gzdm3sD8AYA5BfzcOvVMzx6dR2J2Y+QwSQiTbcEArFB5ou5XDzVB54iB+fy7wDBd9DkrgCty/TRysABnZv3Q5+Ok2FIvVwJIYQQQuotXV1dWFpawtnZGaNGjcKcOXMkZg8XZ29vj9DQUGzZsgUXLlzAmzdvoK+vjxYtWmDChAlYunSp3LwAMG3aNDRp0gQ3btzA48eP8e7dO6SlpaGsrAyNGzdGly5d4OXlBW9vb7kTMrVp0wbh4eE4efIkzpw5g8ePHyMjIwMCgQBWVlZo27Yt+vXrh4kTJ0qMJ1nX2NjYIDAwEL6+vjh+/DiCg4ORmpoKPp8Pc3NzODk5oXfv3hg3bhwGDBhQ6fXMnDkTq1atQmFhIS5evAhvb2+F6d3d3dkAq7yeqeKvc7ncKtUPAI4cOYJu3brh9OnTiI6ORkFBAYRCofKMNWzu3LkYN24c/vnnH/j5+SE6Ohq5ubnQ09ODnZ0dXF1dMXToUHh6ekqMV1zdGjVqhDt37uDcuXM4duwYHjx4gIyMDHA4HDRt2hRdu3bFhAkT4OnpKZXX0tISgYGBOHr0KI4dO4awsDBkZ2fD1NQUrq6umDx5MubOnQtdXfmdaJydnfH8+XNs2bIF586dw9u3b2FiYgJXV1fMnTsX06ZNU+kuW020XVGA9ZNPPlG4jYTUFA4jb2APojGiAGtlhwjIz89nZ0Osq7/kVgWfz8eVK1cwatQo6OjoaLo69Q7DMIjLysHNqEC8eHMDqUVRSNXKQpaO4lOBFsPAkQ84cizRxsIFfduNgnPbYeBSL1eiAmq3hNQv1GZJdSkpKUF8fDwcHR1rrNcXAYRCIfLz82Fqaqpw9njS8C1atAg7d+7EkCFD2CEYSN1E7bb6BAUFoX///tDV1cWrV69ogisipbLXI+rE16gHKyEfGA6Hg1aNLNFqwAQAEwAAfIEQD+JeIzjqIuIzgpEqeIN3usUo5v5/L1cBh4NYXSAWObhReBc7Qu7C+OFqtBLowVHXHq5N+8CjyxQ0tmqpke0ihBBCCCHkQ/ftt9/i0KFDuHnzJh48eIBevXppukqE1LhNmzYBAD7++GMKrhKNaZAB1qKiIty5cwdPnjxBaGgonjx5grdv3wIA1q9fjw0bNigto6CgAL/++ivOnDmD+Ph4aGlpoU2bNvD29sbnn39OXc5Jg6KjxUV/Jyf0d/qCfS37fQluR95BZNwVJBY8Qwo3A+90hGDEhhYo1OLiqRYfTxGH88lx2JR8BLZ8Bi1ggVamHdDDaRj6uIyCng4NeUEIIYQQQkhNs7GxwfLly7F582Z89913uHLliqarREiNevjwIfz8/GBiYoL169drujrkA9YgA6yPHj2q0qDGb968gYeHBxISEgCUDzZdWlqKkJAQhISE4OjRo7h165bMMYcYhkFpaalK6+FyuRSoJXWWpZE+Jvcajsm9hgMoP7ZfpiQj6OlZvEoJQjIvHok675GtLXk7S4oOBynIRXDxfRyJuA+dp+vRnK+LFjp2aN+kBzw6TUIbmw7sbKGEEEIIIYSQ6rNq1Spoa5d/1Vc22RUh9V1WVhbWr1+PLl26wMbGRtPVIR+wBhlgBQALCwt06dKF/Vu+fDlSU1OV5isrK8PYsWORkJAAW1tbHDp0CEOGDIFQKMSpU6cwd+5chIWFYebMmfD19ZXK/+bNGzg6OqpUR2dnZzx79kztbSNEEzgcDto3tUP7pp8D+BwAUMIvQ/CzIIRFX0JC3lMkIx0JukKUig0twOdw8FqXj9dIwK30BGz3OwlTAeAgNEVLo3bo1HIwBruOgoWhuWY2jBBCCCGEkAaEevKRD8moUaOq1MGOkOrSIAOs/fv3R3Z2tsRra9asUSnvwYMHERkZCQA4c+YMevfuDaC8t6mXlxeEQiGmT5+OK1eu4NatWxg8eLBE/kaNGmH//v0qrUvRrJuE1Af6OtoY2NkDAzt7sK+lZWcg6MkZvEi6g8SS13irU4gkHS2JfPlaQKRWPiJ5j3Dh5SN89+IH2JbpwF7LFu0b94aPx2doZETtgxBCCCGEEEIIIXVfgwywamlpKU8kx8GDBwEAAwcOZIOr4ry9vbFu3TrEx8fj0KFDUgFWY2NjzJ49u9LrJ6S+a2JpDc+hCwAsAAAIBUJERT/Eo+fn8TonFEnCVMTqCpAv1k4ZDgfJOmVIRiIeZibi6Mn/0IFphuEu8zCt6zhoazXIUxUhhBBCCCGEEEIaAIpaiCkqKsK9e/cAACNHjpSZhsPhYMSIEdi5cyf8/Pxqs3qE1EtcLS5cOvSGS4f//8GiuCAbD5+cQ8Qbf7wpisFbrXzE6mqj7H/jsvK5HDzFOzx9sR67Ir+Dq1Fv+PT+DL0dnDW1GYQQQgghhBBCCCEyUYBVzIsXLyAUCgEALi4uctOJlqWmpiI7OxuWlpbVsv7t27cjNzcXZWVlAICIiAhs3rwZADBgwAAMGDCgWtZDiKYZmFjCw+MTeOCT8heEQiTHPcb9p2fxJO0mgvSLkfu/Hq752gLcKw3CvYAg2JRZoHtTT3zebxZsTWgIAUIIIYQQQgghhGgeBVjFJCcns4/t7OzkphNflpycXG0B1q1bt+LNmzfs87CwMISFhQEA1q9fLzfAWlpaitLSUvZ5fn4+AIDP54PP51dL3eoS0TY1xG37kFk7dMF4hy4Yj83ISwzH1Ts/40FJBO4b6LA9W1O1c3Ap/V9cOb0X9miPEe1mYnanIdDVplNZXUftlpD6hdosqS58Ph8Mw0AoFLIdGUj1YxiG/U/7mZD6gdotIbVHKBSCYRjw+Xy1hhVV51qYohJiCgoK2MeGhoZy04kvE89TVQkJCZXK9+OPP2Ljxo1Sr/v5+Sncjvruxo0bmq4CqUGmljMxUliK0Rl3EVN0F3cNixGjpwsAEHAZJCAKu2K+woGojWhU1hX9TbrB2aixhmtNlKF2S0j9Qm2WVJW2tjZsbGxQWFgIHo+n6eo0eNX53YQQUjuo3RJS83g8HoqLixEYGMjeNa6KoqIildNSgLUBWLt2LVasWME+z8/Ph729PYYNGwZTU1MN1qxm8Pl83LhxA0OHDoWOjo6mq0Nq3EQMBbA4NRKPA3+Hf3YwrhvpIud/vzqVaJciSfs+jvPvwyTDFt1sxuHzHp5oYdFIs9UmEqjdElK/UJsl1aWkpASJiYkwNjaGvr6+pqvTYDEMg4KCApiYmIDzvzt/CCF1G7VbQmpPSUkJDAwMMGDAALWuR0R3iKuCAqxiTExM2MeKotTiy8TzaIqenh709PSkXtfR0WnQX4oa+vaRCuy7oM+Mw+hTWojl4cdx68lu3EA27hoasEMIFOikwD/rH9zx3QNLTmeMaz0J87qPgNH/er4SzaN2S0j9Qm2WVJVAIACHwwGXywWXy9V0dRos0e3Fon1NCKn7qN0SUnu4XC44HI7a17bqpKVWLKZp06bs43fv3slNJ75MPA8hpBboGcOw51yMXfQYf044DV/jPvgipxBtS///tkMhV4hMzhPse70OfY8MwMTjX+FSVBg7zhEhhBBCCCGEEEJIdaEerGLat28PLpcLoVCIZ8+eYeTIkTLTPXv2DABgY2NTbRNc1QSa5Io0eNYusB6/AzNKC/DRs1N4FvIvrgnT4WtsxA4hINB+j1jeJXz1+BLW32uO7tbD8Vn3SWjXuImGK/9hoXZLSP1CbZZUF5rkqnbQZDmE1D/UbgmpPTTJVS0zNDRE3759cffuXVy7dg1ffvmlVBqGYXD9+nUAwLBhw2q7igrt2LEDO3bsgEAgAECTXJEPjQ3QbB16F72GZ+ZtxJc8xWVjPQSKDSHA132L+3l7cN9vH/RKOqCjTmcMMW8FQx3VT7CkaqjdElK/UJslVUWTXNUumiyHkPqH2i0hNY8mudIAHx8f3L17F/7+/nj48CF69uwpsfzUqVOIi4sDAMyaNUsTVZRr8eLFWLx4MfLz82FmZkaTXJEP2BI4lORhUORJZIfux3VeCi4YG+GlaCxWrgClhpF4hEg8yjOBvW5/zOwwEZNcukCLSwPM1wRqt4TUL9RmSXWhSa5qB02WQ0j9Q+2WkNpDk1xVQU5ODtuTE/j/AaSLioqQmZnJvq6vrw9jY2P2uY+PD7Zt24bIyEh4enri4MGDGDx4MIRCIc6cOYO5c+cCAEaOHInBgwfX0tZUTkOfmKKhbx+pIp1GQJ9FsO69EDPfPsDMJ/vxIuYyLhrqSAwhAO0CJAqv4MdnV/BTaHN0sxyGxT0mo6u9nWbr30BRuyWkfqE2S6qKJrmqHTRZDiH1D7VbQmpPbUxy1WADrJ07d8abN2+kXv/ll1/wyy+/sM99fHxw4MAB9rm2tjYuXryIgQMHIiEhAUOGDIGhoSGEQiFKSkrYso8ePVrj20AIqQYcDuDQG3DojfZF2WgffgzLn+xDUHEyLhgbSQwhwOi+xePCf+Fzcz+MyjpiaPMx+Lz3KDQxNdLwRhBCCCGEEEIIIaSuarAB1qpo0aIFIiIisHXrVpw9exbx8fHQ0dGBs7Mzpk2bhs8//xy6urqarqZSNMkVIRXomADd54PTbR4GvL0Hj9CDyIm5gmuGOrhgbIwX/xtCgMMVoEg3FBdSQ3H+1O+w0eoD77YT4d2xK/RovNZKoXZLSP1CbZZUF5rkqnbQZDmE1D/UbgmpPbUxyRWHEbVqUu+JT3IVExODY8eONehJrgipDrr8fDTPvguHTH+8Qw4uGBvB19gI2TJOukxJM9gJumCQiQvamhiChkoihBBCFBNNcmVvb18vOiiQ/3fs2DEsXrwYAPD06VM0b95cYvmiRYtw/Phx2NvbIyIiQhNVJEQjfvjhB/zyyy8YNmwY/vvvP01Xh9Sit2/fomPHjgDK4y/Tp0/XaH1CQ0MxePBgmJubIzQ0FBYWFhqtT13G4/GQmJiI1NRUtSe5mj59OvLy8pTOcUQ9WBsQmuSKkMryBhghWiXcxcrQA1gWcxX39HVwwdgId8SGEODoJyEZSThc5gu9NFe4247Ewh7D0cKq4bWz6kbtlpD6hdosqS40yVXtUDRZzp07dzBo0CD2+d27d9GnTx+lZYq/X8bGxlLfK0TnBi6X2yC/c9QV9+/fR//+/cHlcpGSkoJGjRpVqpySkhIcP34cvr6+ePr0KdLS0gAATZo0QceOHTFmzBh4e3srbacHDhzAJ598InOZkZERbGxs0LVrV8yYMQNjxoxRWFZMTAz+/fdfBAYGIjY2FgUFBdDV1YW1tTVatWqFLl26YMCAARg4cKDMjkOiXmju7u64ffu23PWUlZVh5syZOHXqFACgZ8+euHLlCszNzRXWT5a3b9/ir7/+AgB89913VTr2aZKr+kd8/h59fX2Nn/s8PDwwbNgw+Pn54bfffsO2bds0Wp+6jCa5IlXS0CemaOjbRzSgzRCgzRDoFqRhYNhhDHxyENmZSbhqbCg1hABPPxw3csJx3Xc7GqE3prSZAJ/uvWCiT8ekItRuCalfqM2SqqJJrmqHoslyDh8+LPH8yJEj6Nevn9IyxcuR9f6JB4Tova05vr6+AIDevXujcePGlSrjwoULWLJkCd6+fSu1LC4uDnFxcTh37hw2bdqE7du3Y/To0XLLUvRev3//Hq9fv8br169x8uRJjBgxAqdOnZIISols3LgRmzdvlupJVlZWhjdv3uDNmze4ffs2tm7ditWrV+Onn35SuI3y6sXn8+Ht7Y1z584BAPr164crV67AxMREYXny/PDDDygpKcGIESPQs2fPSpUhQpNc1T/KzouasH79evj5+WH37t1YtWoV7O3tNV2lOqk2JrnS/NFACCF1jUkTYMBKYGk4LKedxAxbd5xMScfpdyn4KC8flgIBm5SrXYBsbT/8E7cIvQ6Ow6Qjv8D3eSzKBDSOEiGEEEI0q7i4GKdPnwbw/z2vTp48idLSUk1Wi6jh0qVLAICxY8dWKv+ff/6JiRMnssHVcePG4fDhw7h//z6Cg4Nx5MgRTJgwAQCQkJCAcePGYdeuXSqVvXnzZkRGRrJ/d+/exU8//QRra2sAwLVr1/Dxxx9L5fvpp5+wYcMGlJWVwczMDKtWrYKvry9CQ0Px4MEDnD59Gl9++SXatWtXqW0WKS0txaRJk9jgqoeHB65du1bp4Oq7d+/YCbK/+OKLKtWNkOrSp08f9OrVCzweT2JCd1L7qAcrIYTIw9UCnIaW/+Uno23oYawKPYjlb9/hnoEBLpgYIUBsCAGufhJeCQ5h9aOj+CrQBf1sRmJRz5Fwbmqp4Q0hhBBCyIfo3LlzKCgoAFAeaPv444+Rk5ODS5cuYfLkyRquHVEmPj4ez58/B1C5AKuvry+WLl0KADAzM8OZM2cwePBgiTS9evXCjBkzcPv2bUyaNAl5eXlYtGgRWrdujSFDhigs387ODi4uLhKv9evXD15eXujatSuys7Nx6tQpREREwM3NDQCQmZmJjRs3AgCaNWuG+/fvS/W469mzJzw9PfHzzz/j0aNHyMrKUnvbS0pKMGHCBFy/fh0AMHToUFy4cAEGBgZqlyXy999/g8/no2nTphLDbhCiadOnT8eDBw9w4MABbN68WeNDF3yoKMDagPH5/AY5+y/NbEw0wsAa6LsC6L0EnNibGBB2EO6xN5HL5eCKjCEEhIZPEZj/FAFXd8C0rAfGtRyH2d16oJGxnoY3RDOo3RJSv1CbJdWFz+ezM2TTLNk1R95s5AcPHgQAuLm5wcfHB1u2bEF0dDQOHjyISZMmKSxTvBxZ75/4XMn03taMixcvAgBatmyJdu3aqbWfCwsLMWfOHADlt8ZeuHAB/fv3l1uGh4cHzp8/j8GDB0MoFMLHxwcxMTFSAUllxwUANG/eHIsWLcLmzZsBlPdkFQVir127hpKSEgDA6tWrYWdnp3C7unXrJrVeWcSXFxUVYcKECbh16xYAYMSIEThz5gz09PQqfawKhUK296qXl5dKdVJGXrsldZcqx78mTJkyBcuXL0dBQQH+++8/ueMkf8iEQiEYhgGfz2fHb1aFOtfCFGBtQHbs2IEdO3ZA8L/bl/38/GQOBt5Q3LhxQ9NVIB8yk49g4DwSDpkB8MwKxIz8VETr6OCiiREuGxsh+38nba52AQq1b+FY8i0c/s8OVrwu6Gfkhq6WBtD5AAdpoXZLSP1CbZZUlba2NmxsbFBYWAgej6fp6jR4ot6qAJCamsoGmDw9PZGfn4/Jkyfj+++/x/Xr1xEXF6dwwiRREAwoD9ZVnOhD9KVTKBSqNQmIODc3NyQmJqqcPicnR+brcXFx+PfffxEQEICkpCTw+Xw0adIEffr0wdy5c9G5c2eZ+YKCgtieoZcuXUKfPn1w7Ngx/Pfff4iOjkZmZia8vb3x999/s3mEQiFOnTqF06dPIyIiAjk5OTA1NUX79u0xfvx4zJo1C7q6umrsBfkuXLgAoLz3pbr7eNeuXcjIyAAAzJ49Gx07dlRaRqdOneDj44P9+/cjOTkZe/bswezZsyXSiB8XJSUlcst0dnZmH7969YpN9+rVK/Z1W1vbSh874srKythyCgsL4e3tjXv37gEARo4ciQMHDoDH41XpHHTv3j0kJycDAIYPHy633seOHcPixYsBAE+fPkWzZs1w6NAhHDt2DDExMeDz+WjRogUmTpyIRYsWwdDQUKLdVpSZmYldu3bBz88Pb968QWlpKRo3bozevXtj9uzZ6N27d6W3SVxeXh727t2L69ev4/Xr18jPz4elpSU6deqEadOmYdy4cXIn4hLNXL969WqsWbMGoaGh2LFjBx48eIDMzExYWVmhf//+WLFiBdq2bau0LlFRUThw4ACCgoKQnJyM9+/fw9LSEu3bt8fAgQPh5eUFGxsbmXmDg4Nx4MABBAcHIz09HXp6enBwcMCwYcOwYMECpZPECQQC7N+/HydOnEBMTAwAwNHREZMnT8a8efNQWFjIplV0/APlPchPnTqFkJAQZGZmQk9PDy1btsSIESMwf/58uZOsLVq0CMePH4e9vT0iIiKQmpqKnTt3ws/PD0lJSSgsLMSlS5ckxtLW19dH7969ERQUhKNHj2LKlCkKt/NDxOPxUFxcjMDAQKmxnxUpKipSOS0FWBuQxYsXY/HixcjPz4eZmRmGDRvWILuG08zGpG6ZBQj4KHvlB6ewA/gyzh/LsnNlDiGgZfAOuQbvcEl4BZdTOqCr5TCs7DsGbW3MNLwNNY/aLSH1C7VZUl1KSkqQmJgIY2NjtWbtJeqRNRv5nj17IBAIwOVyMWfOHJiammLOnDn44YcfwOfz4evri88//1xumeLvl7GxsdT3CtG5gcvlVvo7h7oTxMhaz6+//op169ZJ9TISTZR04sQJrFu3jr0tXZx4ZxQul4upU6eyQWkRHR0ddr3Z2dmYMGECG7wTycrKQlBQEIKCgrBv3z74+vrCwcFBrW2rqKCggF3PpEmT1N7HJ0+eZB+vXLlS5fwrV67E/v37AQAnTpzAkiVLJJaLHxeKZlE3M/v/61stLS02nXj6t2/fVsv3VW1tbZiamiI/P18iuOrp6YmjR49Wy+fY48ePAZQfDwMGDICenuy70sT3j7xjKioqClFRUfDz88O5c+dgY2MjM3jp5+cHLy8vqSBeYmIiEhMTcfLkSSxatAjbtm2r0mRLt27dwrRp06SGYkhLS8P169dx/fp1jBw5EidOnJA5YZmInp4ejh49imXLlkkEsFJSUnDy5ElcvnwZvr6+GDBggMz8AoEAq1atwrZt2yR6yANAeno60tPTcefOHcTFxbHHqIhQKMTSpUslfgwBysfhFY0R/O+//+K///7D0KFDZa6/sLAQ48aNw927dyVej4iIQEREBM6fP4/du3ezr8s7/nNycjB16lTcvn1bqi7h4eEIDw/Hvn37cO7cOfTq1Usqv/i5NSoqCuPHj0dmZqZEGkNDQ6l19+3bF0FBQQgODoaWlhaMjIxkbueHqqSkBAYGBhgwYIBa1yPq/AhEAdYGrKHP/NvQt4/UIzo6gOuE8r/seOiEHoRH2BF4pGcgh8uVOYQAjCLxpDQSU68cQ0/TT7Bx2Fg0t2q4Pc5FqN0SUr9QmyVVJRAI2Bmy68Jsyw2VrNnIjxw5AqD81m/RGJetWrVCnz59cO/ePRw+fJgdn1MWZbNliweEKvve+vn5KexVGBMTA29vb/D5fDRv3lxqPb/88gtWrVoFoLw37MKFC+Hk5ARzc3NER0dj+/btCA4OxubNm2FtbS0VLBQvb+3atYiIiMC4ceMwe/ZsODg4IC0tDfn5+eByuRAIBBg3bhyCg4MBAO7u7vjss8/g6OiI5ORk7Nu3D+fPn8eLFy8wdOhQhIeHKwxGKXPjxg3weDyYmppi4MCBau3jvLw8PH36FADQpk0btG/fXuW8HTp0QJs2bRATE4MnT56gpKREKhAt/lhevURjxwLlY7WK0nXt2pV9/ccff8SgQYPQsWNHlesnT0FBAUaMGIGHDx8CAKZNm4ZDhw5BW7t6Qh5BQUEAAFdXV4XjuIrvj/nz5+PBgwfw8fHB1KlTYWNjg7dv3+Lnn39GcHAwHj9+jK1bt+LXX3+V2o/h4eEYP348eDwedHR08Nlnn2HcuHEwMjJCWFgYfvrpJ8THx+Pvv/+GsbExtmzZUqntunfvHkaPHs32+v7888/RsWNHNG3aFMnJyfjvv/9w5MgRXL16FXPmzMGZM2fkluXn54dHjx7B1dUVS5cuhaurK4qLi3Hu3Dls27YNRUVF8PHxwatXr2T28p47dy727dsHoLx382effYY+ffrAzMwMGRkZePToEU6fPi1xnhNZs2YNG1x1dHTE6tWr0aVLF7x//x4XL17E9u3bkZeXh3HjxuHRo0cyj7lZs2axwdUePXpg+fLlcHJyQlpaGg4cOIBTp05h4cKFbHpZx39paSmGDRuG0NBQaGlpYfr06Rg1ahQcHR3B5/MRGBiI3377Denp6RgzZgzCwsKkfowRnVsLCwsxZcoUlJSUYN26dRg6dCgMDQ0RGRkp0aZEevbsCaC8p+bDhw+VjqH8oeFyueBwOGpf26p1HcyQBicvL48BwOTl5Wm6KjWCx+Mx58+fZ3g8nqarQoh8/FKGiTzDMAfGMMx6U4ZZb8pEb7ZiftnWnBmwtz3jcsBF4q/dnzOZFWfuMKl5xZqueY2gdktI/UJtllSX4uJiJioqiikubpifb3WFQCBgcnJyGIFAwDAMw4SFhTEAGADMvn37JNLu3LmTXfb8+XO5Ze7fv59NFx8fL7Xcx8eHAcA4ODhU56awcnJymDZt2jAAGCMjIyYsLExi+fPnzxkdHR0GALN+/XpGKBRKlSEQCJiZM2cyABhjY2MmOztbYrm/vz+7jQCYr7/+Wm59tm/fzqabNWuWzPV99dVXbJpVq1ZVbsP/Z9asWQwAZvLkyWrnDQoKYuvh7e2tdn5vb282/4MHDySWiR8X+/fvl5k/Pz+fcXR0ZNMFBgayywQCAePm5sYu43A4jIeHB/P9998zt27dYnJzc1Wup6iMTp06Md26dZN4f0RtoToIhULGyMiIAcB88sknCtOK7x8AzOHDh6XSlJSUMC4uLgwAxtLSkiktLZVK0717dwYAo6WlxVy/fl1qeXZ2NtOhQwcGAMPlcplnz56pvV08Ho9p0aIFA4AZMWIE8/79e5npdu/ezW6Pn5+f1HLx7R01apTM7dm8eTOb5uzZs1LLL1y4wC7v3bs3k5OTI7feb9++lXgeERHBcLlcBgDj4uIiM+/Vq1fZND169JBafvnyZYlt4PP5Umk2btwosa2yjn/ROcDc3JwJCQmRWf+EhATG1taWAcBMnz5darno3Co6b4WHh8vZE5LevHnD5vvpp59UyvMhqez1iDrxNerBSgghNUFbF3CZVP6XGQs82Y824cewMjsbS/83hMDfFmZsr1Zt03Bcz12OK3uGYEa7mVjs0RYWRtUzfhchhBBSL/zjDhSma7oWNc+4MTD/To2u4tChQwAAAwMDeHp6SiybOnUqli5dCh6Ph0OHDuGnn36q0bpURllZGaZMmYKYmBhwOBwcOnQInTp1kkjz66+/gs/no1u3bli/fr3MW6y5XC7++usvnDp1CoWFhTh9+jTmzp0rc51t2rTBhg0b5NZpx44dAABra2ts375d5vo2btyIs2fP4uXLl9izZw++++47ubeSKyIUCnH16lUAYMeIVYf47cTyxqpUpEmTJjLLUiY/Px9BQUH46quvEB8fDwDo1asX+vfvz6bhcrk4c+YMRo4cidjYWDAMg4CAAAQEBAAo773n4uKCkSNH4pNPPkGbNm2Urjc8PJx9PG3aNOzfv79ae8zn5OTg/fv3AIDGjRurnG/SpEmYOXOm1Ot6enr47LPPsGDBAmRnZyMqKkri+H706BE7JMHcuXMxbNgwqTIsLCywe/du9OvXD0KhEH///Td7jKrqxIkTSEhIgL6+Pg4dOiR3/pa5c+fi33//xaNHj3DgwAG5t9jr6+tj//79MnunLlmyBN999x14PB7u3r2LiRMnSiwXnYcMDQ1x+vRpueOTAmB75Ivs3LmT7cX/77//ysw7YsQIfPzxx+x2PH78GN27d2eXi3q/6unpYc+ePTJ7Pn/99dc4deoUnj17JrNehYWF7HuwadMmid7a4hwcHPDNN99g0aJFOHXqFHbv3i33dv5Vq1ap3MNb/NiMi4tTKQ+pXnSfDiGE1LRGrYHh3wMrXgCT/oWOQ194FBfjeHIqvsnMhtn/JqbjaPGg3egKjr9bgv5/7cS2m69QWKr6ANyEEEJIvVaYDhQkN/y/Gg4il5WV4dixYwDKg3MVx+mztLTEqFGjAABHjx6tM7Ngi1u2bBlu3rwJoDxoOWnSJKk0ly5dAlA+zqa8yXcAwNzcHK6urgDA3t4vi5eXl9yZpZOTk/HixQsA5QFqExMTmem0tbUxZ84cAOVBudDQULnrU+TBgwfIyMgAl8tl3yt1iE+aVJlhCsTz5Obmyk03Z84ccDgc9s/MzAyjR49mhydo1aqVxFiwIq1bt8bTp0/x888/SwVQGYZBZGQkfv75Z3To0AFffPGF0glpxN//4OBgdjKq6iKaLAz4/wmdVDFjxgy5y8SDbxWDYaJjH4DC2eD79u3LDv8gnkdVFy9eBFA+3IW1tbXCtKJxUxW1oaFDh8oNQJuYmMDJyQmA9PZmZWXhwYMHAMrbYdOmTVXbgP8RbbuzszN7m7ws4j+uiO8vgUDABviHDRsmd/1cLhc+Pj5yy79z5w7y8vIAAJMnT1ZYZ9H+5PP5ePLkidx0io6hivT19dnhK1JTU1XOR6oP9WBtwPh8vtRg7w2BaJsa4raRhk4LaD+h/C8jGlpBv2Bq1HkMe1+E7RZmOGViDCGHA65eJmD7L3a+vI/9jyZgYZ9umN7DHvo6si/66wNqt4TUL9RmSXXh8/lgGAZCoVBpII9jrHrPsHrNuDGYag5qMv+bEIZhGFy9ehVpaWkAgOnTp8vc79OnT8f58+eRlJSEW7duYfDgwVJpxPPJev8YsUloxJfx+XxER0fLrWvbtm0Vjmm3a9cuthfY1KlTsW7dOql1v3nzhg16rV27FmvXrpVbnriUlBSp7RJxcXGRe4xGRESwj7t3767wWBbvFRcREaEw4COPKPDVu3dvWFpaqh0EF+8NV1BQoHZ+8QCtjo6O3H0mC4fDQbt27TBt2jQsXboUxsbGMvPo6+vjiy++wBdffIHXr1/j/v37CA0NxYMHDxASEgKhUAiBQIDffvsNGRkZOHDggNx19uvXD02bNsV///2HhIQEDB48GP7+/pXqvSuLeC9eMzMzhftAfFmbNm3kphXvZVnxPYqMjAQA6Orqws3NTeH6evTogRcvXuDVq1coKSmR2XtUnpCQEADA9evXFf5IIS41NVVufdq2bauwrpaWlgCktzc0NJQ9n/Tt21et47W0tBSvXr0CUL4vFOXt2LEjdHR0wOfzERkZyaZ99eoVO1N8t27dFJbRrVs39nHF86Ko1zFQPoasqpKTkyXKEe0LY2NjtGjRQq39YWFhgeLiYrx//75O/nimSUKhEAzDgM/ny/0xTRZ1roUpwNqA7NixAzt27IDgf73h/Pz85Hbzbwhu3Lih6SoQUjV6k2DRpiOc3x3H11kx8CwoxI9WFgj736yGOiZRKDOKwa8hA7DD3x0j7bTR05qBVj2+94DaLSH1C7VZUlXa2tqwsbFBYWGhwsmMAABeF2qnUnWBGrMSq6OgoICdXdvS0hJ9+vSROQPygAEDYGZmhry8POzbt08iKChSUlLCPi4sLJQqR/SlUygUSix7+/atwltanz59iubNm8tcdvfuXXbirc6dO+OPP/6QWX/R7efqKigokChPFFQBym8Nljdb9Lt379jHxsbGCmeVFu/9mZKSotYM1CIXLpS3hcGDB1cqv/gkTImJiWqXkZSUxD42NDSUyC9+XKxbt47tYcvhcGBoaAgrKyt2H1Q8NuSxtrbG+PHjMX78eADlAactW7awQ10cPnwY06ZNQ+/evWXmFwqF2L59OwoLC+Hr64uYmBgMGTIEly9fZoN6VSH6fg2U9+hVtE3i+0fR9osfe+/fv5dIJ/rxwMLCQiKdLKIetQzD4O3bt2oNYZCern5v+uLiYrnbpKWlpXDfiAJ+paWlEukSExPZx2ZmZmodr6Ifk1TNa2lpibS0NKSnp7NpxddvYmKisAzxHy9KSkok0oq3G3VkZ2dLlCM6t5qamqrddsWPl8qcOxoyHo+H4uJiBAYGKu0VL05ZGxRHAdYGZPHixVi8eDHy8/NhZmaGYcOGSd0S1BDw+XzcuHEDQ4cOpZmNScPAfIaymKtod3sDDqbEwdfIEL9ZmiNDWxscbhn0rG9DYB6KM2mjcT+3O5YNcsIYVxtwuar90lwXULslpH6hNkuqS0lJCRITE2FsbAz9//2ASKofwzBsrzDR2J3Z2dkqBVsuX74scwxA8ffL2NhY6nuF6NzA5XIllim7JV1WWQAQGxuL2bNno6ysDLa2trhw4YLEWKDy6vbNN98ovR1XxMjISGLd4p1RTExM5H53Eg9YViyjIvHt19fXV/v7WEJCAl6+fAmg/Dbjynyf69mzJ7hcLoRCIZ4/f652GeJjTHbt2lUiv/i+b9myJXr16qV2/ZQxNTXF/v37UVpaiv/++w8AcPXqVQwfPlxmem1tbVhaWuL06dOYMGECrl+/jhcvXmDKlCm4efMmzMzMqlSfFi1asI+LiooU7k9l7UZ8mXge8XSi3nUV25Ys4mP8KjqGZREFjkeMGIEtW7aonE/eOvT09BSuXzSuqba2tkQ68fZlaGio1jaIB79UaW+inrridRA/9xkYGFS6fYv3igwJCVH5+qlZs2YS5Yjy6ejoqLUvxAP6jRo1apCxoKooKSmBgYEBBgwYoNb1iDqBagqwNmA6OjoN+ktRQ98+8oFxGQ+0HwWE7MeYOz9hYFIK/jE3w2EzE5RxOODq5MKg2VFkvn+ILy+OxZ6g1lg5rC0Gt2+s8i09dQG1W0LqF2qzpKoEAgE4HA64XG61TjpDJIl6hp06dUqiB50qCgsLcf78eXz00UcSr4u/X7LeP/HrD/FlLVu2lBg+QBV5eXkYP348srOzoa+vjwsXLkhNZCNOfLxI0W3UlaFsG0UaNWrEPhaNjSqPeK9AKysrtY97X19fAICjoyM7dqy6LCws0LFjR4SFhSE6OhqxsbEqTRYFANHR0YiJiQEAODk5Sd3qrOo+qw7z5s1jA6yvX79WuC4ulwt9fX2cO3cOo0ePhr+/P0JDQzF69Gj4+flVaixaEfFAf25urtJ6iD+Wl7bi6+LPraysAJSPTSoUCmVOuCQi6sHJ4XDUPt6srKyQnJwMPp9f6TYkTnSuV4V4OvEfgtLS0tTeBpH09HSFecvKypCVlcXmE6UVL0NZ+xYfj7fi+yt+nmjSpAmaNWum8naIk3duVSYvL4/9LHBwcKDP3Aq4XC44HI7a17bqpKU9TgghdYWWDtBzHrAkDEZ9l2FFQQnOvEtBn6JiNom2USwMW25DvPA4Pj0ShEk77+P+a9VndyWEEEJIw3XkyBEA5eP/HT9+XOmfKAAguhVbEwQCAby9vdlem/KGLBDXsmVLtlfivXv3aryOLi4u7OOHDx8qTPvo0SOZ+VQlmrxr7NixaucVN3v2bPbxn3/+qXI+8bRTpkypUh2qSnyyIVU7FBgYGODixYvscALBwcEYO3YsiouLleSUT09Pj52gSRR8rkmi44bH4yE8PFxhWtHx5uTkpNb4q0D5MBxAeW9LpUO41KDOnTuz729gYKBaecXfG2VtMywsjL39XrxttmrViu1FKz6OqiyKlov2J1A756WKxI9NZ2fnWl8/oQArIYTUPfpmwJANwOdP0LLDFOxKy8QfaRmw45ePFcPhCKFrFQSjVlsRmXcL0/cEY+a/DxGemKvRahNCCCFEc968ecN+qff09IS3t7fSP09PTwDA7du3JcYZrU1ffPEFrl27BgD46quvMG3aNKV5tLS02LE//fz88OLFixqtY9OmTdnZ2k+ePInCwkKZ6QQCATsZk4WFBbp06aLWegoKCnDnzh0AVQ+wfvzxx2xP3127dqkU8Ll37x7++ecfAOW3P3/22WdVqoMs6vRuFk3CBJQH1VVlbGyMq1evomvXrgCAgIAATJo0qUpBxP79+wNQHoCrDkOGDGEf79u3T2664OBgREVFSeVR1bhx4wCU93wUjd2sCaLxooHy9pWcnKxWftG2P3/+XOIHjor+/fdfqTxA+XABHh4eAMrPJykpKTLzC4VCHDx4UGE9RMOO/Pnnn2r35K8q8WOzMpPrkaqjACshhNRVZs2AibvAmX8Hg5t0x/l3KViUkwu9/936wdUuhEHTUzB02IX7SU8xYcc9zDsUgujUAiUFE0IIIaShOXHiBPuFXtUxSUXphEIh2/u1Nu3Zswfbtm0DAEyYMAGbN29WOe/atWuhpaUFoVCIyZMnK5xgRiAQ4OjRo5WehAYon+8CKL9FeMmSJTLTbNy4kQ14zZ07V2J8TFVcv34dPB4PJiYmcHd3r3RdgfIgoyhoJhAIMGbMGPj7+8tNHxAQgDFjxrDjcm7atEmtmdBVtWfPHsybNw+xsbEK07158wbr1q1jn4smwFKVmZkZrl+/zg6zcO3aNXh5eak1uY04UYA1MzOz0pOsqapHjx7sbPV79uzBrVu3pNLk5eVh/vz5AMpvfV64cKHa6/Hx8WGH4li5cqXS3qNBQUHsDwDVbfXq1QDKx1SdMmUK8vLy5Kat2I4XLlzI3g4/b948mWNm+vn5Ye/evQDK92/FXvKi/VdaWor58+dLTGwm8uOPPyIyMlJuvczNzdkfJe7fv4/ly5ezt+zLkpaWJhH0rSpRcLl58+Zo27ZttZVLVEcBVkIIqetsOwKzLkJ/2kks1GmKC+9SMOT9/w/ormX4FkYt/oKezVnciI7DiG2BWP5fON5kvddgpQkhhBBSm0RjVTZu3JgNBinTp08fNoh2+PDhGqubLNHR0WzQ0tbWFqtXr8bz58/x7NkzuX/iXF1dsXXrVgBAVFQUXFxcsGrVKly7dg1hYWEIDg7G8ePHsWTJEtjb22PmzJnIzc2tdH0XLFjA3na+f/9+DB48GGfOnEFoaCh8fX3h6emJTZs2ASi/5fibb75Rex2XL18GAAwfPrxaxr8ePXo0/vjjD3A4HOTm5mLQoEGYOHEijh49igcPHuDhw4c4duwYPD09MWjQIHb/zJgxA1988UWV1y8Lj8fDnj174OTkhH79+uG7776Dr68vQkJCEBoaikuXLmHFihVwdXXF27dvAZQHVwcPHqz2uqysrHDjxg022HT+/HnMmjVLYdBLnlGjRrHviayAZ3Xbs2cPdHV1UVZWhlGjRmHlypW4c+cOQkJCsGfPHnTp0oUN9q1cubJSw1Ho6enh5MmT0NPTQ2FhIQYNGoSZM2fi9OnTePLkCR4/foyLFy9i/fr1cHNzQ//+/RUGGKti7Nix+OSTTwCUByc7dOiAH3/8EYGBgQgPD8fNmzfx008/oXPnzvj6668l8rq6urLH69OnT9GlSxfs2bMHISEhuHPnDlauXMn+eKCrq8v20q64flGv8UuXLqFv377477//EBoaimvXrsHb2xtff/01G/iW57vvvmN7j27btg1dunTBjh07cO/ePYSHh8Pf3x/bt2/HhAkT0Lx5c+zatavK+w4o7xku+gFl4sSJ1VImqQSGNDh5eXkMACYvL0/TVakRPB6POX/+PMPj8TRdFUJqXxmfYUL2M8wvTsy9HxszY3e3ZVwOuLB/znu7M61/Wsc4rL7AtFrry3x1NoJJyS3WdK2p3RJSz1CbJdWluLiYiYqKYoqLNf9Z1JAFBgYyABgAzPz589XKu2jRIjZvSEgI+/r+/fvZ1+Pj46Xy+fj4MAAYBweHStXZ39+fLV/VP1l2797NGBoaKs2rq6vLvHr1Sm4d/P39ldY5KyuL6du3r8L1tG/fnklISFB7fwgEAsba2poBwBw8eFDt/IqcO3eOsbe3V7qPtLS0mHXr1jECgUBuWeLHxf79+9Wuy3///cfo6uqq/J5Pnz6dKSoqklmWKI27u7vCdSYlJTGOjo5s+o8//pgRCoVq193T05MBwAwcOFBuGmXtRiQ+Pp5Nt3fvXplprl+/zpiamircP4sXL1b4fqkiODhYpeND3rEpWrZ+/XqF63F3d1f4fpWVlTGfffYZw+FwFNbBx8dHKq9AIJA4l8n6MzMzY65fvy63fvn5+Qrbd+fOnZknT54oPf7z8/OZSZMmqbQ/ZR1LlTm3BgQEsGU+fvxY5Xwfkspej6gTX5M/HR2p9/h8PjuIc0Mi2qaGuG2EqMRtBtBuPHo++BunH2zHcQMt7LQww3suFxytYujbXICO+SOUpo7D0YcMTj9Jwsye9pjX3xGWRuoNfl9dqN0SUr9QmyXVhc/ng2EYCIXCSvUaI6oR7306ceJEtfb1xIkT8ffffwMADh48yE7UIl6GrPePERtfsDLvbXXl+eSTTzBmzBjs3r0bN27cQHR0NHJzc6Gnpwc7Ozu4uLhgyJAh8PT0RKNGjaS2S/yxsjqZm5sjICAAR48exfHjxxEeHo7s7GyYmprC1dUVnp6e+PTTT6Grq6v29t2/f5+dwXzEiBHV2l7GjRuHYcOG4fjx47h8+TLCw8ORnp6OoiKxO6K0tBAQEMCOhSlv/erus4omT56MoUOHws/PD4GBgQgLC0NcXBxycnIAAKampmjdujV69eqF6dOns+OoKluPouW2tra4efMmPDw8kJiYiH379kFfXx9//fWXWnX/9NNPcebMGdy5cwdJSUkSk3DJqoei/VPxdVnphgwZgpiYGGzbtg1Xr15FXFwcSktL0aRJE/Tr1w/z589Hv3795OZXVY8ePRAdHY0DBw6wx0dmZia4XC6sra3Rrl07uLu7Y9KkSWjbtq3cdYnO9aqQlY7D4WDbtm3w8fHB7t27cefOHbx79w48Hg9WVlZwdXXFiBEjMHPmTJn5//rrL0ydOhW7d+9GUFAQ0tLSoKenh5YtW2LkyJFYunQprK2t5dbRyMgIt2/fxj///IPDhw/jxf+xd9/xTVX/H8dfSZvuwSjI3iqyQZkCogwBQQUBpSJDxYUTxYEDcAA/Eee3ooIspSpDkSFCQZQlG2UIAkKRDYXSlM40ub8/YmORtrTQNk36fj4efZDknnPv56b5JOWTc8/ZvRuTyUTt2rXp168fTz31FCdOnLjgHLLbV3BwMHPmzGHNmjXMnDmTNWvWcOzYMVJSUggLC6N27do0b96c7t2706VLlwJ5b501axYAzZs3p1mzZvq8zYbD4cAwDGw2Gz4+Pnnul5+/hU2GUcQz70qhiYqKIioqCrvdzt69e4mOjnZNsiwi3snfdo66x+cRdG4NH5QOZ0FoyAXbbQlNSDvVHSMjDH8fg5srOri5okGAvl4TEZEi4OvrS4UKFahatWq+V7gWKUnGjBnD+++/T4sWLVi6dGmRHXfKlCmMGDECcM4zOmfOnHzPHVtSGIZBmzZt2LNnDy+//DLPPfecu0MSITExkYYNG5KQkMCUKVNcixfKhdLT0zl8+DAnTpzI11zMycnJREZGkpCQQFhYWK5tVWD1QlarlfDwcOLi4i75AvBENpuNmJgYOnfuXCBzE4l4hVO78flpDNuPrGJs2TLs9v/3P7Emh4XU051IP3sj4EvpIAsPt6/JvS2qEmDJ+7d3V0J5K+JZlLNSUFJTUzl8+DA1atQgICDA3eF4LcMwSExMJDQ0FJPJ5O5w5DI0btyYnTt3MnbsWNeCP0Vl+PDhrsXG+vbtS3R0tGvRILnQwoULufPOO4mIiODAgQMEBwdf9r6Ut1IQxo8fz8svv0y9evX4/ffflbs5SE1NJTY2lqpVq+br7xGr1UpERESeCqwaw+TFLBaLV/+nyNvPTyRfKjeC++bR5MDPfLXsZebFxfJh6XASfHwwzDb8r1pCQOkNJJ24g/ikaxn/416mrTvEkx2vpt8NVbH4FM0HsfJWxLMoZ+VK2e12TCYTZrNZ/+krRJmXg2Y+1+JZ0tPT6dOnD3fddReRkZFF/jt89913OXjwIAsWLGDOnDlUrFjRVXCVC91xxx20a9eO1atXM2nSJJ5//vnL3pfyVq5UUlIS7733HgATJkzA11clvpyYzWZMJlO+/7bNT1s9+yIi3qRWB3weWk2/7d/QZeUb/M83kTmhIThMJgy/swRVm4aReC1JJ2/npLUsL3+3k89WHeCZTtfQs3ElfMz69lxERESkKPn5+TFq1Ci3Hd9sNhMdHc17773nunT20KFDVK9e3W0xFWdRUVHMmzePkJCQSzcWKUSHDh1i2LBhlClThu7du7s7nBJPBVYREW9jNkOT/pSqfyevrP+YPus/ZGyYH9v+uRTCFPon4SETSYm7ibQzN3PoDDz9zW9M+vkvnu1yDZ3rXaXLlERERERKkODgYF555RV3h+ERGjZsSMOGDd0dhgj16tVj9OjR7g5D/qFx6CIi3soSCO2epe6jm5lR+XbGnT5LuX9GJdhNDvzKreSqa97GN3QHYPDnyUQe+mILvT5ex7r9ce6NXURERERERMRDqMAqIuLtQsph6jGRHoN/ZmFQY4acs+L7z/qGyebzBFaZRbU6kzD7nQTgt8PniJyygXunrGfb3/HujFxERERERESk2FOBVUSkpIi4muD+XzP8zq+YZytDm+QU16Z4y9+E1XqfmjW+B3MqAGv3n6HXx+sYOnMze05Y3RW1iIiIiIiISLGmAquISElTvQ21HvyFT9qO5/3zUNmWOW2AQVzgr1S9dixVK24BnCubxvxxkm4frObpr7cRG5fkxsBFREREREREih8tcuXFbDYbNpvN3WEUuMxz8sZzEylSde+gfZ2utNr0KTO3f8LnwX6kmc2cIx1KzaFJ6ZUcP34vJ+MrYhgw/7djLNp+nD7XV2ZYh1pUCAvI86GUtyKeRTkrBcVms2EYBg6HA4fD4e5wvJbxz9Q/mc+1iBR/yluRouNwODAMA5vNho+PT5775edvYZORmdXi8aKiooiKisJut7N3716io6MJCgpyd1gi4gEsGecpdXIus9nBiuBA1+Mmw6B+Wk22H72XpPTQf9ubDNpWMOhU2UGIxR0Ri4iIJ/D19aVChQpUrVoVPz8/d4cjIiIiJVB6ejqHDx/mxIkTZPyz8HNeJCcnExkZSUJCAmFhYbm2VYHVC1mtVsLDw4mLi7vkC8AT2Ww2YmJi6Ny5MxaLKjsiBSo+lo0rnuf/zu/moN+/+RVmmGjp342le9qTlPZv82B/H+5vU50hbWoQGpDzRRHKWxHPopyVgpKamsrhw4epUaMGAQF5v/JB8scwDBITEwkNDcVkMrk7HBHJA+WtSNFJTU0lNjaWqlWr5uvvEavVSkRERJ4KrJoiwItZLBav/k+Rt5+fiFuUv5ob+3/HvL/XE73iWSZxjiSzGavJICb9B+rWXsl1gQ8y5/eqpGU4SEqz89HKA3y54TCPdqjNwNY1CLDkfMmF8lbEsyhn5UrZ7XZMJhNmsxmzWcs/FJbMy4szn2sRKf6UtyJFx2w2YzKZ8v23bX7aKotFROQilmqtGDR4DQubvczt6f9+o77XSOH75I/oUf99IpuCr9m5LT7Zxtgf9nDThJV8uf4QNrvmkRIREREREZGSQQVWERHJnslEucaRvHX/Fr6o3pfrbHbXpmXpx1iR/AJPt5hL78ZlyLyq6aQ1jVfm76TjxF/4btsR7A7NQiMiIiIiIiLeTQVWERHJnY+FJh1e46vINbxaqhnh/4xOTTab+DRhE/tSHuL9m3+jy3XlXV3+PpvMM9/8TrcPVrF01wk03beIiIiIiIh4KxVYRUQkT3yCytDvjhks7jmXuy0VMP9TNI31gVeOf02A41G+uD2RtnUiXH32njzPw19soc9nG9hvdVfkIiIiIiIiIoVHBVYREcmX8HLX8UpkDN+0HktT/F2PrzSn8fSfb9Iq4GW+6hNOk6qlXNu2H7Hyv10+zN58xA0Ri4iIiIiIiBQeFVhFROSy1L32dmbct5FxdSIp53BOwppuNvGp/SSjfh/KY5U+YVq/mlx7VSgABiZe/v4P/vfTPk0ZICIiIiIiIl5DBVYREblsJrOZHje+xML+qxkS0Rzffwqnx319edb6G7M29+Z/jZbzcOsKrj7vLNvL6AW7cGgBLBERESnmpk+fjslkwmQyERsb6+5wxAsMHjwYk8lErVq13B1KkatRowYmk4nBgwe7O5Ri5YsvvqB9+/aULl0as9mMyWSiSZMm7g5L8kkFVhERuWLBAeEMv20q3972DW0CKroe3+Bvod/hb/E9PpAXr/rZ9fiMXw/x1De/kZ7hcEO0IiIiJUNGRgbz5s3joYceomHDhpQvXx6LxUJ4eDh16tShV69eTJgwgYMHD7o7VHGTpKQkQkNDXUXksWPHujskkRLl+eefZ+DAgaxevZpz585d1pV+sbGxrhy+nOJ1ZtH/cr5Iynrs//4EBARQqVIlunTpwgcffIDV6t2LcqjAKiIiBaZmufp80m8p77caTWVzAAAZJhMzA83MDVvEJ3WmEmxOB2Dh78e4f/omzqdluDNkERERr7RgwQKuu+46+vTpw+TJk9m5cyenT58mIyMDq9XKX3/9xfz583n++eepVasWPXr0YOfOne4OW4rYvHnzOH/+vOv+F1984cZoxBN16NABk8lEhw4d3B2Kxzl8+DDvvvsuAK1atWLRokX8/vvv7Nixg3nz5rk5uiuXlpbG8ePHiYmJ4emnn6ZBgwZs3brV3WEVGl93ByCFx2azYbPZ3B1Ggcs8J288NxFv0b7W7bSo1oWZmycy7cC3pGFw0teXkcafvFx5DLNODGOXrRJr9sfR/7NfmXxfM8oG+7k7bBH5hz5rpaDYbDYMw8DhcOBw6KqFwpI54inzuX7rrbcYNWqU6/EOHTpw22230bBhQ8qWLUtycjLHjx9n9erVLF68mNjYWBYvXkzlypWZNGmSO0+l2Bk4cCADBw503fe21/HMmTMBCAkJ4fz58+zZs4f169fTokULN0fmvaZOncrUqVMxDIPExERX3nqDS53HgQMH8ty2JFixYgV2ux2Azz77jPr161+wPa/PUdZ2l/N6yjpqNr+f11nb3n777bzxxhuu+/Hx8ezZs4cPPviA3bt3c/jwYW677TZ2795NWFhYvmK8Ug6HA8MwsNls+Pj45Llffv4WVoHVi0RFRREVFeVK0GXLlhEUFOTmqApPTEyMu0MQkUuoQlMeD63BQutU9prisZlMjAux06f8eOqf7M3sjA7sOGql5/srefQ6O2UD3B2xiGSlz1q5Ur6+vlSoUIHz58+Tnp7u7nC8XmJiIl9++SWvvfYaAOXLl+fzzz+nbdu2F7Vt1KgRt956K2PGjGHevHm88cYbpKene/0lnPKvo0ePsnLlSgBeeOEFJk6cyLlz5/j888+pW7eum6MrORITE90dwhXJyMhw/av3j/zJWnCuUKHCZT9/WUeh22y2fO8naxHx/Pnz+eqf9djBwcFUq1bNdb9atWo0btyY3r17c9ttt7Fp0yZOnDjBRx99xBNPPJGvGK9Ueno6KSkprFq1yvWazYvk5OQ8t1WB1YsMGzaMYcOGYbVaCQ8Pp0uXLkX+rUBRsNlsxMTE0LlzZywWi7vDEZE86JXWi5fmP8pq+w4A5oYF0cTve96M28ObiUM4nerPJ/uD+XxgM+pWCHVztCKiz1opKKmpqRw+fJiQkBACAvQtWmHJHAl37tw5RowYAUBYWBirV6+mTp06l+z/4IMP0qdPH1avXu2V/3+Q7E2aNAmHw4Gvry9Dhw7l77//ZvLkyXz33Xf873//0/t/IcvM28w5cD2Vr6+v61+9f+RP1t972bJlL3s/ISEhrtsWiyXfv4esuR4SEpKv/nk99ltvvUWXLl0AWLNmDS+//HK+YrxSqampBAYG0r59+3z9PZKvYrUhXichIcEAjISEBHeHUijS09ON+fPnG+np6e4ORUTyKDNv5+36ymg2vaHRYHoDo8H0BkaHKdcZi8Y3MDq++IlR/YVFRoNRPxobDpxxd7giJZ4+a6WgpKSkGH/88YeRkpLi7lC8mt1uN+Lj442nnnrKAAzA+Oijjwps/2fPnjWmTp1q3HvvvcZ1111nBAcHGxaLxbjqqquMLl26GJ9++qmRlpaWY/+VK1e64lq5cmWux8psN2rUqGy3Hz161HjhhReMpk2bGmFhYYavr69Rvnx5o0GDBsY999xjTJs2Lcf/B3377bfGHXfcYVSuXNnw8/MzQkJCjJo1axpt27Y1XnnlFWPDhg0X9Zk2bZorpoMHD1603W63GytWrDCeffZZo02bNkbZsmUNX19fIzw83GjcuLHx7LPPGocOHcr1nG+66SYDMG666SbDMAzjyJEjxjPPPGPUrl3bCAgIMMqUKWN06dLF+OGHH3LdT37Vq1fPAIzu3bsbhmEYq1evdp3rd999l2vf//5O7Xa78dlnnxmtW7c2SpcubQQFBRmNGjUyxo4dm2v+Dxo0yACM6tWrG4bx77lfffXVRmBgoBEREWF0797dWLJkSa7x/Pd1s2LFCqNPnz5GlSpVDF9fX9f+s1q9erUxYMAAo3r16oa/v78RHh5uNGnSxHj55ZeNU6dOXdQ+Li7OqFixogEYlStXNs6ePZtjPL169TIAw2QyGcuXL8/xnOPj4w273Z7rufz000/GHXfcYVSsWNEICAgw6tata7z++uvG+fPnL+i3ePFio1u3bq521113nTF27NhcczMtLc1YsGCBMWzYMOOGG24wSpUqZfj6+hplypQxWrRoYYwaNco4ffp0tn0zzyO3n/8+79WrVzcAY9CgQTnGZBiGsWDBAuOuu+5y5WqZMmWMVq1aGePGjTMSExNz7PfffLXb7cann35qtG7d2ihVqpQRFBRkNGzY0HjzzTeNpKSkXGPIq4MHDxpPP/20Ua9ePSMkJMQIDAw06tSpYzz00EPG9u3bs+2T+Tzk9pPd+01uMWT2u9Rzm52sv8v8HDc/xz558qSrXb169XJsl5GRYUybNs3o0qWLcdVVVxkWi8UICwsz6tSpY9xyyy3GW2+9ZezatStfMRrG5f89kp/6mgqsXkgFVhEpbrLm7c64nUbnWTe6iqxNptU3vninmvH0SyOM6i8sMq55+Qdj6c7j7g5ZpETTZ60UFBVYi4bdbjfOnj1rlC1b1gCM0NDQi4ovVyIvxYCmTZsax49n//ldUAXWVatWGWFhYZeMZeHChRf0y8jIMPr27XvJftdff/1Fx7xUgXXUqFGX3G9QUJDx7bff5njOWQusa9asMSIiInLc14QJE3J9/vJq06ZNrn1GR0cbhmEYDofDqFmzpgEYvXr1yrV/1t/p0qVLja5du+YYc7169XJ8bWQtNm7atMkoX758jvsZPnx4jvFkfd2MHDky10Kf3W43hg0bluvvLDw83Fi2bNlFx1m6dKlhMpkMwOjbt2+2sUyZMiXXmPNTYB03bpzreP/9adOmjXH+/HnD4XAYTz75ZI7n0rVrVyMjIyPX5z+3n7Jlyxpr1qy5rL75LbCmpKS4itM5/VSqVMnYtm1btv2z5uuuXbuMjh075rifFi1aXPH75IwZMwx/f/8cj+Hj42OMHTv2on4lscAaHx/vate4ceNs2yQmJhrt2rW75HNz11135StGwyiaAqsZERGRIlS/bH2+7r2AFmUbAJBhMvF/EWGEVprDW5ZPMGWk8MiXW/hm099ujlRERMRz/PHHH5w5cwaAdu3aERwcXGD7ttvttGzZkjfeeINFixaxadMm1q5dy5dffknXrl0B2LZtG/fcc0+BHfO/0tLSuOeee7BarYSGhvL888+zZMkStmzZwq+//kp0dDSPP/44lStXvqjvpEmTmDNnDgBt27Zl+vTprF69mq1btxITE8PEiRPp3LlzvhY+yZSRkUHFihV57LHH+OKLL1i7di1btmxh/vz5PP/884SEhJCcnExkZCS7d+/OdV/Hjx/nzjvvxGw2M378eNasWcPGjRt59913KVWqFAAvvfQSu3btynec/5W5uFVoaCh33HEH4LxcOTIyEoDFixdz9uzZPO3rlVde4ccff6RLly589913bN68me+++47OnTsDztdmz549XWuFZCc5OZm+ffuSkJDAiy++yKpVq9iwYQMffvghFStWBODdd9/lgw8+yDWWb7/9lrFjx9KwYUOmTp3Kxo0b+eWXXxg+fLirzYsvvkhUVBQANWvW5JNPPmHjxo2sXLmSZ555BovFQkJCAj169OD333+/YP9dunThySefBGDOnDnMmDHjgu379+/n6aefBpzzHI8dOzYPz2D2lixZwksvvUSrVq2Ijo5m8+bN/Pjjj3Tr1g2AdevWMW7cON577z0+/PBDunXrxrx589iyZQvff/89rVq1AuDHH39k8uTJ2R4jIyODWrVq8eyzz/LNN9/w66+/smnTJubOncsjjzyCn58fZ86coVevXpw6deqCvm+99RY7duzghhtuAOCGG25gx44dF/wsW7YsX+c8aNAgvvvuOwAaN27MzJkz2bRpE0uXLmXIkCGYTCaOHTtGx44dOXr0aK77Gjp0KCtXrmTQoEEsXryYLVu28N1339G6dWsANm7cyJtvvpmv+LJavHgxgwcPJi0tjZCQEEaNGsXq1av59ddfmThxIhEREdjtdkaOHHnR4oHLli1jx44dPProo67H/vvcZfde5smyvv/VqFEj2zajR49m9erVAPTo0YOvvvrK9Z66ZMkSxo4dS5s2bYrvlBr5LvtKsacRrCJS3GSXtza7zZiwfqxrJGuD6Q2Mez692lgzup5xy4ufGtVfWGT876d9hsPhcGPkIiWTPmuloGgEa9HIvAyWf0b3vPLKKwW6/7179+a6ferUqa5j//dyaMMomBGsK1ascG377wjVrGw220X/D8ocEdWyZUvDZrPl2PfMmYunKbrUCNaDBw/m+l55+PBho3LlygZgDBgwINs2mSNY+WfE35EjRy5qs3r1atdIxieffDLH4+VFenq6Ua5cOQMwBg4ceMG23bt3u2KJiorKcR9Zf6eA8dBDD2Xb7oEHHsh1f1lHzlksFuOXX365qM3Ro0eNKlWqGIARHByc7eX7WWPp2LGjkZqamm0827dvN8xmswEYDRo0MOLj4y9qs2TJElebFi1aXLQ9JSXFaNCggQHO0eIHDhwwDMP52mvZsqUBGAEBAcaOHTuyjSGvI1j5Z6Tef0efZmRkGK1atXIdPyAgwHj66acvOk5SUpJrpGSjRo2yjWX//v25/q29fft2IyQkJNf3lf9OcZGb3EawLlq06ILfYXZTG3z22WeuNv369btoe9Z8BYwvvvjiojapqamu31/ZsmVzfU/ISXp6ulGpUiUDMEJCQrIdURsbG+uaUiIoKCjbqRayjoC/Ep4wgrVnz565/l4MwzCqVq1qAEafPn1yPWZ279WXUhQjWLXIlYiIuIWv2ZfnWr5EvXKNGbXmZVKNDHb6+zOyqp23To5hXuJ9TFgKpxPTeK1HPczmYvpNpYiIFIi7F91NXEqcu8ModBGBEXzT45sC32/W0YblypXLsZ3D4eCPP/7Icfu111570eJGV199da7HHjJkCB9++CG//fYb8+fPp2PHjnmMOu9OnDjhut2+ffsc22W30E5m3zZt2rgW5MlOmTJl8h1XTiOxMlWpUoURI0bw9NNPs2DBAgzDyHX01UcffZTtyLW2bdvSsmVL1q9f7xrhdbmWLFnC6dOnARgwYMAF2+rWrcsNN9zA5s2bmTlzJo899tgl93fVVVfx3nvvZbvt/fffZ8GCBZw+fZqPP/441/09/PDD2f5uK1WqxMSJE7n77rtJSkpixowZPPfcc9nuw2w2M2XKFPz9/bPdnrmwF8CUKVNcI4Oz6tq1K/fffz9Tpkxh48aNbNq0iebNm7u2BwQEMGvWLFq0aEFiYiIDBgxg1apVvP7662zYsAGA8ePH06BBgxzPNS+CgoL47LPPLhpZ7ePjw0MPPcT69etJTEykatWqvP3229n2HzRoEK+//jrbt28nISGB8PDwC9rUrl071xgaNmzIgw8+yPvvv8/8+fN54403ruiccpM5qthisTBt2jT8/PwuajN06FBmz57N8uXL+fbbbzl+/LhrhPN/9e7d+6LXN4C/vz+PP/44jzzyCGfOnOGPP/6gUaNG+Yr1u+++49ixY4BzBHeTJk0ualO9enUmTJjAgAEDSE5OZtq0aa5FCEuKc+fOsXv3bsaNG8fChQsBaN26NXfffXe27TPfq9u1a5frfi/nvbooqMAqIiJu1b1Wd2qXqs1Tyx/jaMopzvr48HjF0jzn/yUtz/7B6HWDOZuUzjt9G+Pnq5ltRES8VVxKHKeST126oWTr/Pnzrtu5TQ9gtVpp2LBhjtsPHjyYa9HQMAxOnjyJ1WolPT3d9XjlypX57bffLrqkuqBkLaJMmzaNp556Kl999+3bx8KFCxk5ciQRERGFESLgfH7PnDlDcnIyhmEAzkJX5raDBw9Sq1atbPuWKlWK2267Lcd9X3/99axfv54DBw5cUYyZ0wNUrFgx22L4gAED2Lx5Mxs2bGDfvn2XLLD369fPdY7/FRISQr9+/YiKimLXrl2cOHGCChUqZNt2yJAhOR6jV69elCpVinPnzrF8+fIcC6w33nhjrq/f5cuXA1C/fn1atmyZY7uhQ4cyZcoUV5+sBVZwXv4/btw4hg8fzrp164iMjGTevHnAhdMIXInOnTvnWEhq3Lix63bv3r0v+lIku3YHDx7MthCYVXx8PGfPniU1NdX1+s0sQv/xxx/YbLYcj3UlMjIy+OWXXwDn81e1atUc2w4dOpTly5eTkZHBzz//TP/+/bNtd++99+a4j+uvv951+8CBA/kusGa+jkwmE/fff3+O7fr27cuwYcNISEhg+fLlXl9gnTFjxkXTZmSyWCzce++9fPDBBzm+hipWrMjff//NN998w4MPPpjj+0pxpQKriIi43bVlruWbO77l+Z+fZd2JDdhNJv6vbGl6+O/km1OvMXz7kzyQnM4nA64n2F8fXSIi3igisPCKXsVJYZ1nSEiI63ZSUlKB73/x4sVMmjSJVatWkZiYmGO7uLjCGYXctm1batWqxYEDB3j66aeZNWsWvXr1on379jRv3jzb0W6ZBg0axKpVq9i/fz916tShd+/edO7cmXbt2lGlSpUrju3QoUO88847LFy4kEOHDuXaNi4uLscC69VXX43ZnPOXyZnFttye/0uJj493jSTr379/tsfr378/zz77LHa7nZkzZ15y1OJ/i4//1aJFC9foxB07dmRbYPXz87ugGPhfFouFpk2bsnLlSnbs2JFju9wKZWlpaezbtw8g1+IqQNOmTbFYLNhsNnbu3Jltm6effpoffviB5cuXM3v2bADKli3LtGnTCmSOyGuuuSbHbVlH3ua1XU6vmx07dvDee++xZMmSC0aK/5fD4SA+Pp7y5cvnHPRlOnDgAMnJycClfzdZt+f0uwHnaOycZC1cX04+ZR63Zs2auV4x4OfnR9OmTfn5559zjbUkuPrqq3nmmWcuusIgq0GDBvHGG2+wbt06atasSd++fenYsSNt27bN9XkuLvS/VBERKRbC/cP5uPOnfLTtIz7f+TkAi0KC+cuSzicnX+PjvwYTOdnG1MHNKRuS/WVfIiLiuQrjsvmSpHTp0q7bmZd/Z6dUqVKukWmZBg8enOOoI8MwGDp0KJ9//nme4khJSclTu/yyWCwsXLiQPn36sHv3bjZt2sSmTZsACAwMpH379gwcOJC77777okuq77//fv766y/efvttEhISmDZtGtOmTQOcl0jfcccdDBs2LMfCZ26WLFlCnz59XMWhS8nt+bnUaK3MYmjmJe6X4+uvv3aNPM7u8mmA8uXL06VLF5YsWcKXX37J66+/nmvB8FIFt6uuusp1O6eFs8qUKXPJRcYy95Pb4ltZ8+C/4uPjXbcvFbPFYqFs2bKcOHEix+OZTCY+++wzateu7cqpDz/8kEqVKuW677zK7fWQtTCe13bZLTL2+eef88gjj5CRkZGnmAorv7M+x5f63WQt0Of2WriS5+VSMo+bl2JzZrx5XTTOk91xxx2uhcMcDgfHjh3jxx9/5NNPP+WPP/6gQ4cO/Prrr1x77bXZ9n/11Vc5evQo06ZN49SpU0RFRbm+nKlfvz533XUXjz322AXvKcWJrrUUEZFiw8fsw9PXP83EmyYS6BMAwG5/P+6vXIZ+YVOJPDGBAZN+5kh83v4TIyIiUlJkne9x27ZtBbbfqVOnuoqrTZo0Yfr06ezevRur1UpGRgaGYWAYBvfddx/ARcXbglSvXj127NjBd999x/3330+dOnUAZ9Fn6dKl3HvvvbRs2fKi1c7BueL5/v37eeutt7jllltcxZe//vqLd999l7p16/LJJ5/kK564uDgiIyNJTk4mJCSE0aNH8+uvv3Lq1CnS0tJcz82KFStcfQrz+cmLzOkBAJo1a4bJZMr2Z8mSJQDExsayatWqXPdZEKM1C2pV8EsVaQv6eB999NEFv9Nly5YVyH6Lwp49e1zF1fLlyzNhwgS2bNnCmTNnSE9Pd71+s365UhSv32K7Qnw2PCnWolCqVCkaNGhAgwYNaNSoEV27duX9999n0aJF+Pr6Eh8fT2RkZI5FbYvFwueff87OnTt55ZVXaNOmjevqhF27dvH6669Tp04dvv/++6I8rTxTgVVERIqdLjW6EH3bV1QPdc6/dM7Hh0cqlCe57BbeTXyW4R/PZs8Jq5ujFBERKT7q1atH2bJlAVi9enWeR1ReyuTJkwGoU6cO69atY9CgQdStW5fQ0NALilm5jc7KOlost9GXeZnawMfHhzvvvJPPP/+cffv2cezYMaZOneqaU3HLli08/PDD2fatXr06I0eOZMWKFZw7d461a9fy1FNPERAQgM1m47HHHstXcXru3LmcO3cOcC56M2rUKFq1akW5cuUumLKguIxc27dvH+vXr893v6xF2eycPHkyz9tzmlP0zJkzlxxJmLmfy13gJuvo1kvFnJGRwZkzZ3I93ooVK3j//fcBXJc9z5gxwzUXa3E3ffp0MjIy8PHx4ZdffuG5556jWbNmlClT5oI5Movi9Zv1Ob7U7ybrNAbuWuwo87iXihX+jbe4LsxUFDp27OiaN3vr1q1Mnz491/b16tXjjTfeYO3atSQkJBATE8OQIUPw8fHh/Pnz9O/fn+PHjxdB5PmjAquIiBRLdUrXIbrH17Sv4lxN1mEy8W6Z0nx+VTIf255nxif/x6bY4vEfFhEREXczmUyuRV2sVmuOl/zn165duwC4/fbbCQwMzLaNYRhs3bo1x32Ehoa6bme9TPu/9u7dm+/4KlasyJAhQ/j1119p1qwZAIsWLbrkpcwWi4U2bdrw/vvvEx0dDTjPY+7cuXk+duZzU6ZMGTp16pRju82bN+d5n4Upa6F00qRJfPXVV7n+dOnSBXAWknN7PjOnasjL9qwjrbNKT0/PdYG0jIwMfvvtt1z3cSn+/v6uBbs2bNiQa9tt27Zhs9lyPF58fDyDBg3CMAwqVqzIb7/9Rs2aNQF46KGHXCvMF2eZr9/GjRvnOl/ppV6/BTGKs1atWq5R5Zf63WzcuNF1+3JfC1cq87gHDx7MdUoWm83m+tLGXbEWFyNHjnR9ETFmzJgLFknMTUBAAJ06dWLq1KlMmDABcF61sGjRokKL9XKpwCoiIsVWmF8YH93yEY80fsT12NKQYIZWLs2jvp8QO/V+VmyPdV+AIiIixcgzzzxDQIBzip2XXnqJgwcPXvE+M+dmzG106ffff5/raKKsq7rnVqz56quv8h/gPywWCzfddBPgjDlzZGledOzY0XU7P4t0ZT43qampOY7MTU5O5osvvsjzPguLYRh8+eWXgLPQ88gjj3DPPffk+vPoo48CzoL9/Pnzc9z3nDlzcizAJiUluRaAqlevHhUrVsxxP7l9KfDdd9+5ivO5FbMvJbPvrl27LijU/deUKVMu6pPVI488wtGjRzGZTEybNo2aNWvyxRdf4OPjw9mzZxk8eLDbp4O4lLzk9vHjx1mwYEGu+8l8z0lLS7vsWHx9fV35GxMTw5EjR3Jsm/m78fX1pUOHDpd9zCuR+ZowDMM1n3N25s6dS0JCwgV9SqoyZcowbNgwAA4fPnxZXwJe7nt1UVGBVUREijWzycywJsP48OYPCfZ1frO938+PeypVoELwr1SZ24MlP//i5ihFRETcr1q1anz44YcAJCQk0LZtW9asWZNrH8Mwci1GZo74W7hwYbaXCv/111+u/zTnpHTp0q7V3adNm5btftasWcMHH3yQ4z5Wr17N/v37c9yenp7OL784/x4ICQm5YMXpL7/8MtdFfLLOm5k5CjEvMp+b5ORkVxExK7vdzoMPPlgsRjOuWrWK2NhYAPr06ZOnPl27diUkJATIfZqAEydO8Oyzz2a7bfjw4a45cTMLtjmZNGlStq/XEydO8NxzzwHOhYsGDRqUp/iz8+ijj7qmrHjooYewWi+ecmrZsmWueUdbtGhB8+bNL9g+c+ZM1+/78ccf59ZbbwXgxhtv5KWXXgKcRcLMXCyuMl+/+/btY926dRdtT05OJjIy8pKjwTOL5gcOHLiionLm+0h6ejoPPPCAawRxVlOnTnXla+/evXMt2BemO++807WY2VtvvcWOHTsuanP48OELXrdDhgwp0hiLo2eeecY1Unn8+PEXTAty9uxZFi5cmOtr6HLfq4uKr7sDEBERyYubq91MdI+veHrl0xxMOEiij5lhV5XjifgE+q/sy/ITr9Dx7ic02byIiJRoQ4cO5ejRo4wZM4Zjx47Rrl07brnlFnr27EnDhg0pU6YMdrudEydOsHXrVmbPnu26VNjHx+eCuUMBBg4cyIgRIzh27BitW7fmhRdeoEGDBqSmpvLTTz/x/vvvk5aWRrNmzXKdJmDYsGE8/PDDnDx5knbt2vHqq69y7bXXcvbsWRYvXszHH3/MDTfckG2hB5zzXb7xxhu0a9eO2267jUaNGlGuXDlSUlLYu3cvn3zyiev4DzzwAL6+//5X97777uO5556jd+/etGnThtq1axMQEMDJkyeJiYlh0qRJgLMwmznNQl7069ePkSNHkpaWxpAhQ/jtt9/o3Lkz4eHh7Nq1i48++ogtW7Zw4403snbt2jzvtzBkLZDeddddeeoTEBBA9+7dmT17NjExMZw4ceKCFdwz3XDDDUyaNImDBw/yyCOPULVqVQ4fPsykSZNYunQpAE2bNuWRRx65qG+mcuXKERQUROfOnXnmmWfo3r07/v7+bNy4kbFjx7qK1G+88UaeVm7PScOGDXn22WeZMGECv//+O82aNeOFF16gadOmJCUlsXDhQj788EPsdjt+fn58+umnF/SPjY3liSeeAJwjct9+++0Lto8aNYqlS5eyadMmXnzxRTp37ky9evUuO97CdN999/HRRx/hcDi47bbbGDFiBG3btiUgIIAtW7bw3nvvsW/fvku+ftu0aeNa9X348OEMGDCA8PBwwDmyvHr16nmK57bbbqNv377MmTOHZcuW0apVK4YPH07dunWJj4/n66+/ZurUqYBzNOS777575U/CZfLz8+Ozzz6jZ8+eWK1WbrzxRkaMGEHHjh3x8fFh3bp1jB8/3vXlwjvvvENERESRxLZ///5LznEKzi8Psnttzp0795Kx+vn5ERkZme/YypUrx9ChQ/nggw84cOAA0dHRrgUSrVYrt99+OzVq1KB37960bNmS6tWr4+vry/Hjx1m4cKFr9HLlypXp0aNHvo9f6AzxOgkJCQZgJCQkuDuUQpGenm7Mnz/fSE9Pd3coIpJHBZm3iWmJxpMrnjQaTG/g+nkqqpZxfnS4seXDew176vkCiFikZNNnrRSUlJQU448//jBSUlLcHYpXs9vtRnx8vGG3212Pffvtt0atWrUM4JI/JpPJ6Nq1q7Fjx46L9p2enm506dIlx76BgYHG7NmzjUGDBhmAUb169RxjvPPOO3PcT8OGDY3jx4+77o8aNeqC/qNGjcrTudxxxx1GcnLyBX3z0i88PNxYsmTJRXFPmzbN1ebgwYMXbZ86daphNptz3O/dd99tLF++3HV/5cqVF+3jpptuMgDjpptuyva5y+45yI/k5GQjLCzMAIxrr702X31nz57tOuY777zjenzlypWux5cuXZrra6Ru3brG0aNHs91/1tfNpk2bjIiIiBz38+STT+YYZ06vm+zY7Xbjscceu+TrYenSpRf1a9u2rQEYfn5+xrZt27Ld/59//mkEBQUZgNGkSRMjLS0tx3P+b97m9VwOHjzoajdt2rQc22X9PWX32hszZkyuz8Ozzz57yRxITEzM8b3mv+8H1atXNwBj0KBB2cabkpJi9OrVK9eYKlWqlONzf6lYM+X1+buU6dOnG/7+/jnG6uPjY4wdOzbH/peb0/+V9Xzy+vPee++5+me+JvP6Ex4enu2xc/q9ZnX48GHDz8/PAIzrrrvO9frP6zlUrFjR2Lx5c76fo8v9eyQ/9TVNESAiIh4lxC+E925+jyeaPoEJ52jVFcFBRFaqQGnrEk68eyPpJ/a4OUoRERH36tWrF3/++SezZ8/mgQceoF69ekRERODr60tYWBg1a9bk9ttvZ9y4cfz1118sWbIk20VYLBYLixcv5sMPP+SGG24gKCiIwMBA6tSpwyOPPMLWrVvp27fvJeMxm83MnTuXqKgomjdvTnBwMMHBwTRq1Ii33nqLDRs2ZDs6MtNzzz3HvHnzePTRR2nVqhXVqlUjICCAgIAAatSoQb9+/Vi0aBHz58+/aDGunTt38n//93/07NmTevXqUbZsWXx8fChVqhStWrVi1KhR/Pnnn3Tt2jXfz/OQIUNYvXo1d955J+XKlcNisVCxYkW6du3KN998w9dff42Pj0++91uQ5s+f77oUPq+jVzN1797d9XzmNE2An58fP/zwAx9//DGtWrWiVKlSBAUF0bBhQ9588022bt3qupw6NzfccANbt27lySefdI0yLlu2LF27duWHH37IdQqJ/DCbzURFRbFq1SruvfdeqlWrhr+/P2FhYTRp0oSRI0eyb98+1yJfmcaPH++awuCNN96gSZMm2e7/mmuu4b333gPgt99+45VXXimQuAvDa6+9xuLFi+nSpQulS5fGz8+PKlWq0Lt3b5YtW8Y777xzyX2EhISwbt06nnrqKa677jrXJeCXIyAggG+//ZYFCxbQu3dvKlWqhJ+fH6VLl6Zly5aMGzeOP//8M8fnvqgNGjSIPXv2uM49ODiYwMBAateuzdChQ9m2bZtr2ghxqlKlimuaj927dzNv3jwAqlevzsaNGxk9ejRdunTh2muvpVSpUvj6+hIREUH79u2ZMGECe/bs4frrr3fnKeTIZBjFfOZlyTer1Up4eDhxcXGuVdq8ic1mIyYmhs6dO2OxWNwdjojkQWHl7dpjaxm5diSJtkQAQhwOxp4+Q+sUA3u3ifg1vbvAjiVSkuizVgpKamoqhw8fpkaNGq6FUKTgGYZBYmIioaGhmipHisTPP//sWnBmxYoVl73Y0JAhQ5g5cybVq1fnwIEDBRhh8ae8FSk6qampxMbGUrVq1Xz9PWK1WomIiCAhIeGS9TXNwepFoqKiiIqKck0UvGzZsiv69qi4i4mJcXcIIpJPhZG3DwY8SLQ9mpOOk5w3m3nyqnI8Ep/Aoz8M48Cvs9ld7T4cZr9L70hELqLPWrlSvr6+VKhQgfPnz5Oenu7ucLxeYmKiu0OQEiI5OfmC29ktFpUXmQsZORyOy96Hp1PeihS+9PR0UlJSWLVqVa6LHv5X1ve6S1GB1YsMGzaMYcOGuUawdunSRSNYRaRYKOy8vct2F2M2jCHmb2cx6JPS4ez292Ps6VVUO3ISU59pEHF1gR9XxFvps1YKSuYI1pCQEI1gLUQaCSdFLetAnqCgoMv+f2fmZ4zZbPbK/7vmRnkrUnRSU1MJDAykffv2+R7BmlcqsHoxi8Xi1f8p8vbzE/FGhZW34ZZwJnaYyPRd03lvy/sYOPglKJDIShX44OR+an7eEfPtH0CjfgV+bBFvps9auVJ2ux2TyYTZbMZs1vIPhcXhcAC4nmuRwpb1dXYl+Z21sFjSXrvKW5GiYzabMZlM+f7bNj9tlcUiIuIVTCYTQxoM4ZPOkwi1OEdAHLJYiKxUgRV+Bnw7FBY8AbYUN0cqIiIiIiIi3kQFVhER8SptKrVhds9vqBN+DQDJZjPDryrHB6XDsW+dCZM7wum9bo5SREREREREvIUKrCIi4nWqhFYhuseX3Fq9u+uxKaXCGXZVORLidsNnHWD7bPcFKCIiIuLBOnTogGEYGIZBhw4dLns/06dPxzAMYmNjCyw2ERF3UIFVRES8UqBvIBNuGs+z1z9P5sfd2qBA7q5UgT9N6f9MGfCkpgwQERERERGRK6ICq4iIeC2TycTgBvcxpfNk/E3OeVmPWnwZUPEqfggOgq0znFMGxO1zc6QiIiIiIiLiqVRgFRERr9eyUgsW9p5LOb86AKSazbxQPoIJZUqRcWoXfHoTbJ/j5ihFRERERETEE6nAKiIiJULFkIos6fc1jcI7ux6bGR7GIxXKc9aeAt8+qCkDREREREREJN9UYBURkRLD38efL++YSO9qT2IYzo/ADYEB3FO5An/4WTRlgIhIITEMw90hiIiISAlVFH+HqMAqIiIlislkYszNQ3mx8fuQEQrAcV9fBlaswIKQYNCUASIiBcbHxweAjIwMN0ciIiIiJZXdbgfAbC68MqgKrCIiUiINaHozn9zyBaa0GgCkmU28XK4s48qUxmZL0pQBIiIFwNfXF39/fxISEtwdioiIiJRQiYmJWCwWLBZLoR1DBVYRESmxbqxZm/m9viAg5UbXY9HhoTxYsTxxZrNzyoApnTRlgIjIZTKZTJQqVYrExETi4+PdHY6IiIiUMCkpKVitVkJDQzGZTIV2HN9C27OIiIgHqFWuFEsGfECfL98jzv9rTGY7WwMCuLtyRd47dZpGJ3fCZx2g5wfQsI+7wxUR8TilS5cmPT2dEydOYLVaCQkJISAgALPZXKj/0SlJHA4H6enppKamFurljyJScJS3IoXHMAzsdjuJiYlYrVb8/f2JiIgo1GOqwCoiIiVeRIg/i4Y8x31fVmev/X+YLVZO+fowuGIFXo47w13nz8O8ByB2NXQdD5ZAd4csIuIxTCYTFSpUIDAwEKvVSlxcHA6Hw91heRXDMEhJSSEwMFBFaxEPobwVKXwWi4VSpUoRERHhmhe+sKjAKiIiAoT4+/L1oH488U0FVlvfxTcoFpsJRpcry05/P146E4/flulwZDP0nQ4RV7s7ZBERjxIeHk54eDgOh4OMjAwVWQuQzWZj1apVtG/fvlDnlxORgqO8FSlcZrMZi8VSZF9gqMAqIiLyD39fHz7p34FRC0oz++Ak/MqsA2BuWCh7/QN47+QpymvKABGRK2I2m/Hz83N3GF7Fx8eHjIwMAgICVKgR8RDKWxHvook+REREsjCbTbx+R2Meb/QcKcf6Yjic30Vu97dwd5XKbPP3g/R/pgxY+BTYUtwcsYiIiIiIiLiTCqwiIiL/YTKZeKLj1bzRcTCphx7BYSsFQJwZ7q9Uka9DQzAAtkyHKZ0gbr8boxURERERERF3UoG1mNi6dSvDhw+ncePGhIWFUa5cOdq3b8/8+fPdHZqISInVv0U1/tfnDmyHnyQjqTYAGRi8FVGG18qVI80EnNwJn90EO+a6N1gRERERERFxCxVYi4m3336bGTNm0KJFCyZMmMDLL79MWloavXr14rXXXnN3eCIiJVbXBhWYOegWfE8+RPqZdq7H54cEMqhqdU74+GSZMuBpTRkgIiIiIiJSwqjAWkw88cQTHD16lMmTJ/Pwww/z9NNPs27dOlq1asW4ceM4e/asu0MUESmxWtUqyzcPtyUspTcpR/tjOJwLEezyMbi7eg02Bfg7G26ZBlM6a8oAERERERGREkQF1mLixhtvJCAg4ILHfHx86N27NxkZGezdu9dNkYmICEC9SmHMe6QNVSytSY59FEd6GQDOGjaGVqzAF6XKOOdlPbnDOWXAvuVujVdERERERESKhgqsxdyxY8cAKFeunJsjERGRamWDmPtoG+pF1CXp4ONknL8aADsGb5cO4cUqNUkxmZxTBnx1D+z6zs0Ri4iIiIiISGHzygJrcnIyS5Ys4c0336R3795Ur14dk8mEyWRi9OjRedpHYmIio0ePpmHDhoSEhBAeHk7z5s2ZOHEi6enphXsC/zh69CjTpk2jZcuW1K5du0iOKSIiuYsI8eeroa1oU7MqKYeHkBbXwbXtB4udgTWv5oivDzhsMPd+2PqF+4IVERERERGRQufr7gAKw8aNG+nevftl9z906BAdOnQgNjYWgKCgINLS0ti8eTObN29m1qxZrFixgtKlS1/U1zAM0tLS8nQcs9mMn59fttuSk5Pp1asXaWlpfPbZZ5d9LiIiUvBCAyxMG9Kc4d/8zuIdXXGkViag0hxM5nT2GKncU606nxw5QoP0dFjwOKQlQuvH3B22iIiIiIiIFAKvHMEKULp0aTp27MiIESP46quvqFChQp76ZWRk0LNnT2JjY6lYsSIxMTEkJSWRnJzM119/TWhoKNu2bWPAgAHZ9j906BCBgYF5+mnWrFm2+0hPT6d3795s3bqVWbNm0ahRo8t+HkREpHD4+/rwYf+mDGxdnYzEhiQfHIYjLQKABCODx6pU45DvP99jLn0JVo4Dw3BjxCIiIiIiIlIYvHIEa7t27Th79uwFj7344ot56jtjxgx27NgBwLx582jdujXgHG16991343A4iIyM5IcffmDFihV07Njxgv4RERFMmzYtT8fKbgSszWajX79+LFu2jGnTptG7d+887UtERIqej9nEmNvrExHiz7sxkBQ7jMCqM/ANiiXeSOfhmtfw5YE9RNgd8Mt4SE2AW8eC2Wu/3xQRERERESlxvLLA6uPjc9l9Z8yYAcDNN9/sKq5mdc899/Dyyy9z8OBBZs6ceVGBNSQkhMGDB1/Wse12O5GRkXz//fdMmjSJQYMGXdZ+RESk6JhMJp7seDVlQ/x4df5OUg4PIqj6J/gEnORoxnkeu7oJU//cRohhwIZJkGaFnh+Cj1d+BIuIiIiIiJQ4GkKTRXJyMmvXrgWgW7du2bYxmUx07doVgGXLlhXYsR0OB4MGDWLu3Lm89957PPLIIwW2bxERKXz3tqzOx/c2w88UTMrh+3HYwgHYnRbH0w3aYjP985H72yyYOxgy8jZft4iIiIiIiBRvGj6Txe7du3E4HAA0aNAgx3aZ206cOMHZs2cpU6bMFR97xIgRzJo1i9atWxMREcGXX355wfY2bdpQq1atbPumpaVdsLCW1WoFnNMN2Gy2K46tuMk8J288NxFvVVLytuO1EUy4qwFPzd5Oyt8PEFRjEiafFDacP8TIpt0Y/9syfBw22L0Qx6x+2PvMAL9gd4ctcpGSkrMi3kI5K+J5lLcixV9+8lMF1iyOHTvmul25cuUc22XdduzYsQIpsG7ZsgWAX3/9lV9//fWi7dOmTcuxwDpu3DjGjBlz0ePLli0jKCjoimMrrmJiYtwdgojkU0nJ2zuqm/j+UHmSDw8mqNpkTOYMfozfQUb1m5hwaBW+jnTMB38m/uNOrK81nAxfFVmleCopOSviLZSzIp5HeStSfCUnJ+e5rQqsWSQmJrpu51aYzLota58r8fPPP19235deeonhw4e77lutVqpWrUqXLl0ICwsrgOiKF5vNRkxMDJ07d8Zisbg7HBHJg5KWt90Mg9DFe/hyA6QcjSSwyheYTAbL2cvMm4cxZM3nmNKslE3aR/eTUWT0nw0h5d0dtohLSctZEU+nnBXxPMpbkeIv8wrxvFCB1Qv4+/vj7+9/0eMWi8Wr36i9/fxEvFFJytsxdzTkhDWN5bsh7UQvAip+C8B7B+ZR/taR9FgxEZJOYzq1E8sXPWHg91CqqpujFrlQScpZEW+gnBXxPMpbkeIrP7mpRa6yCA0Ndd3ObRhw1m1Z+4iIiGTyMZv4sH9TGlcJx3auBWmnO7m2vbrzM9b1GA9hVZwPnP0LpnaFuH1uilZEREREREQul0awZlGpUiXX7aNHj9KoUaNs2x09ejTbPsWNFrkSkeKipOatxQSf3NuEvp9t5EhcR0y+ifiV3kCGkcEzWyfw2R3v02jx85jOHgDrEYypXcnoPwcqNHR36FLCldScFfFUylkRz6O8FSn+tMjVZbruuuswm804HA527txJt27dsm23c+dOACpUqFAgC1wVlKioKKKiorDb7YAWuRKR4qek5u3A6vB+og/JJ+7A5JuIJfQPkjOSeXjtqzxeYTA9U6YQnvI3puQ4mH4b62sN52zINe4OW6TE5qyIp1LOinge5a1I8aVFri5TUFAQN954I6tXr+bHH39kxIgRF7UxDIOlS5cC0KVLl6IOMVfDhg1j2LBhWK1WwsPDtciViBQbyltoeEM8g6ZvIfVof0zVpuAbdIgkI4lZPj/S+f55hM5/DPPRTVjsybSNfRd7nxkYtW52d9hSQilnRTyLclbE8yhvRYo/LXJ1BQYNGsTq1atZuXIlGzZsoGXLlhdsnzNnDgcOHABg4MCB7ggxz7x9smxvPz8Rb1SS87Z1nfK8268xj0dvI+XwIIJqfIKP/ymOnD/CkxteZVrkVwTNGwoHVmKyJeP7TST0+Rzq3eHu0KUEK8k5K+KJlLMinkd5K1J8aZErID4+nri4ONePw+EAnMN7sz5+/vz5C/oNGjSIhg0bYhgGd911FytWrADA4XAwZ84chg4dCkC3bt3o2LFj0Z6UiIh4tB6NKjGye11wBJHy9/0YNudVBn+c+YNn1r2C7e4v4bqezsYOG8wZDNtmuS9gERERERERuSSvLbA2bdqUcuXKuX4OHz4MwIQJEy54/PHHH7+gn6+vLwsWLKBGjRocPXqUTp06ERwcTHBwMP369cNqtdK0aVNmzdJ/eEVEJP+GtqvFwNbVMTJKkfz3A2APBGDdsXW8tvEtHHdNhSb3OhsbDvj+MVg/yY0Ri4iIiIiISG40RUA2atSowfbt23nnnXf49ttvOXjwIBaLhfr169O/f3+eeOIJ/Pz83B3mJdlsNq9ckVCrLYp4HuXthUZ2vYYjZ5P56U9IPjyQoOqfgymDRQcWUda/LE91fw+zJRifTZ85O/z4IvbkeBxtnwOTyb3BS4mgnBXxLMpZEc+jvBUp/vKTnybDMIxCjEWKUFRUFFFRUdjtdvbu3Ut0dDRBQUHuDktERLKRZof/7fLh7yQTvqE7Caw8C0zOj+TuAd1p49+aa098R90T81199pe7lV2VI1VkFRERERERKWTJyclERkaSkJBwyUXkVWD1QlarlfDwcOLi4i75AvBEWm1RxPMob7MXdz6Nvp9t5Eh8CpZS6wmoON+1bVybcdxa41bMGybhs/xV1+OOxvdi7/4umH3cELGUFMpZEc+inBXxPMpbkeLParUSERGRpwKrpgjwYt6+GqG3n5+IN1LeXqhiaQsz7m/BXZPWce5cK0y+VvzL/QTAq+tfpVxIOVq2fRKCSsPCJ8FwYP59Fmbbeeg9GXz93XwG4u2UsyKeRTkr4nmUtyLFV35y02sXuRIREfEEtcuFMHngDfj5mkmP60z6uRsAyHBk8NTKp9hzdg80uw/6TAPzPx/wf3wPX/WH9CQ3Ri4iIiIiIiKgAquIiIjbNa9Rhnf7NQZMpB3vRUZiXQCSbEk8uvxRjp4/CvXvhP5fg2+gs9NfK+CL3pByzl1hi4iIiIiICJoiwKvZbDavXJFQqy2KeB7l7aXdel05Xrj1Gv5v6V5SjkYSXH0K5sC/iUuJ4+FlDzO181RK17gJU+QcfL7pjyktEQ6vx5jeg4z+syG4nLtPQbyIclbEsyhnRTyP8lak+MtPfmqRKy8SFRVFVFQUdrudvXv3Eh0dTVBQkLvDEhGRPDIMmHfQzOqTZvBJIqTGJ5j8TgNQxacK94fcj5/Jj/DkWFr/NQH/jEQAzvtXYG2dF0j1K+vO8EVERERERLxGcnIykZGReVrkSgVWL2S1WgkPDycuLu6SLwBPpNUWRTyP8jbv7A6Dx6J/46c/T2OynCW05icYPlYA2lZqy8T2E7GYLRC3D9/ouzAlHgPACKtCRuRcKFvHneGLl1DOingW5ayI51HeihR/VquViIiIPBVYNUWAF/P21Qi9/fxEvJHy9tIswP/ubUb/z9bz+xE4f2gwITU/wzClsubYGsZtHsfrbV7HVLEePLAUZt4BZw9gsh7B8kVPuO87qNDQ3achXkI5K+JZlLMinkd5K1J85Sc3tciViIhIMRPk58uUQc2pWiYQR1olkv6+D5Ph/E50/v75fLTtI2fDUtVgyI9wVQPn/aTTMP02OLzRTZGLiIiIiIiUPCqwioiIFEPlQv2ZPqQFpYIs2JNrk3y0H2ACYPKOyXy15ytnw9CrYPAiqNLceT81wTmq9a+V7glcRERERESkhFGBVUREpJiqXS6EyQNvwM/XTEZiI1JP9HBtG7dhHMtilznvBJaG++ZDzZuc923JEN0Pdi8s+qBFRERERERKGM3B6sVsNhs2m83dYRS4zHPyxnMT8VbK28vXpHIoE3o34KnZ27HF34jJNxH/iJ8xMHhx9YuE+YZx/VXXg9kf+s3C57uHMO/9AezpGLMHYe/xIUaju919GuJhlLMinkU5K+J5lLcixV9+8tNkGIZRiLFIEYqKiiIqKgq73c7evXuJjo4mKCjI3WGJiEgB+OmYie8P+QAGAZVmYwnfBkAAATwY+iAVfCoAYDLsNPl7CtXOrnX13V5lAAfLdXFH2CIiIiIiIh4pOTmZyMhIEhISCAsLy7WtCqxeyGq1Eh4eTlxc3CVfAJ7IZrMRExND586dtdqiiIdQ3l45wzB4ffEevtxwGLATUn0mpqA/ASgXWI7pXaZTMbjiP40dmJe9jM/mya7+9ptewnHjcDCZ3BC9eBrlrIhnUc6KeB7lrUjxZ7VaiYiIyFOBVVMEeDGLxeLVb9Tefn4i3kh5e2XG3NGQE9Y0lu8+xfm/Iwmv9TkOv785nXKax39+nJldZ1IqoJSz8W0TIKg0rHobAJ9fxuGTnghd3lSRVfJMOSviWZSzIp5HeStSfOUnN7XIlYiIiIfwMZv4sH9TGlcJB8Mfa+xAfO3lADiYcJDHf3qclIwUZ2OTCW552VlQzfTr/2DBE+CwuyF6ERERERER76QCq4iIiAcJ8vNlyqDmVC0TiGEP4dzBwfgazstVfj/9O8+vep4MR8a/Hdo8AT0/AP4ZtbrtC5h7P2SkF33wIiIiIiIiXkgFVhEREQ9TLtSf6UNaUCrIgmErS8LBQfgSAMDPh3/mzfVvcsEU69cPhj6fg/mfmYH+mA9f94f05KIOXURERERExOuowCoiIuKBapcLYfLAG/DzNeNIq4z10L2Y/5lafd6+eUz6fdKFHRrcBfd8Bb7OQiz7l8OXvSE1oYgjFxERERER8S5a5MqL2Ww2bDabu8MocJnn5I3nJuKtlLeFo0nlUCb0bsBTs7djT76apKN9CKz8NQCTfp9Eab/S9Lm6z78dat6Mqf9sfL6JxJR+Hv7+FWPabWT0nwPBEW46CymOlLMinkU5K+J5lLcixV9+8tNkXHANoXiyqKgooqKisNvt7N27l+joaIKCgtwdloiIFLIVR00s+NsHAL8yq/G/ajEAJkz0D+pPPb96F7QPTz5I67/ewT8jEYBE/4qsq/MCqX5lijZwERERERGRYio5OZnIyEgSEhIICwvLta0KrF7IarUSHh5OXFzcJV8AnshmsxETE0Pnzp2xWCzuDkdE8kB5W7gMw2DMoj3M2ngYgJCKSzCV+gUAfx9/Pr75Y5qWb3php7i9+EbfhSnxuHMf4VXJiJwLZWoXaexSPClnRTyLclbE8yhvRYo/q9VKREREngqsmiLAi1ksFq9+o/b28xPxRsrbwjPmjgacTExj+e5TnD9+K6X9zpMRtIU0expPr3qamV1nUqd0nX87VKwP9y+FmXdA/EFMCYexzOwJA+fDVfXddh5SvChnRTyLclbE8yhvRYqv/OSmFrkSERHxAr4+Zj7s35RGVcIBM/GHeuFvqwtAYnoijyx/hBNJJy7sVLo63P8jlP9nCoGkUzCtOxzeVLTBi4iIiIiIeDAVWEVERLxEkJ8vnw9qTpXSgYAvcQf6E2hUB+Bk8kkeXf4oCWkJF3YKrQCDF0PlG5z3U885R7Ue+LkoQxcREREREfFYKrCKiIh4kXKh/kwf0oLwQAs4/Dm9bwBBpvIA7D+3nyd/epI0e9qFnYLKwMDvoWZ7531bEszqC3sWF3H0IiIiIiIinkcFVhERES9Tp3wIkwfegJ+PGcMeyql9AwkwOydl33pqKy+uehG7w35hJ/8QiJwD197mvG9Ph2/ug9+/LuLoRUREREREPIsKrCIiIl6oRc0yTOzXGADDFsGZvwZiMQcAsPzv5YzbOA7DMC7sZAmAfjOg0d3O+4YdvnsYNk4uytBFREREREQ8igqsIiIiXqpn40q81M250JUjtQrnD0ViNvkA8M2f3zB5RzaFUx8L3PkJNH/w38d+eA5WvQP/LciKiIiIiIiICqwiIiLe7KH2tbivlXOhq/Tz1+A42c+17aNtH/Hdvu8u7mQ2Q/d3oN2z/z720xsQ85qKrCIiIiIiIv/h6+4ApPDYbDZsNpu7wyhwmefkjecm4q2Ut+41suvVHI1P5qc/T5N4pjFl/M9jC18IwJhfxxBmCaN95fYXd2z/EmZLMD4/ve68v+5DHMnx2Lu9A2afIjwDKWrKWRHPopwV8TzKW5HiLz/5aTIumoBNPFVUVBRRUVHY7Xb27t1LdHQ0QUFB7g5LRESKgTQ7fLTLh8NJJsCgbOVFpIetBcCChftD7qeqb9Vs+1aPW0njw9Mx4fyT4Uiplmyt/jCGWd/TioiIiIiId0pOTiYyMpKEhATCwsJybasCqxeyWq2Eh4cTFxd3yReAJ7LZbMTExNC5c2csFou7wxGRPFDeFg9x59Po++kGjpxLBRxUvfY7zpk3ARDuF87UzlOpGV4z276mXd/is+AxTI4MABy1O2G/aypY9EWeN1LOingW5ayI51HeihR/VquViIiIPBVYNfTEi1ksFq9+o/b28xPxRspb96pY2sL0+1ty16R1JKTYOLz3DmrUS+aMYxcJ6Qk88fMTfNH9C8oHlb+4c5O7IagUzB4IGamY/1qO+Zv+0P9rCPC+L/PESTkr4lmUsyKeR3krUnzlJze1yJWIiEgJUqd8CJMH3oCfjxkMX2J396WspQYAx5KO8ejyR0lMT8y+8zW3woB54BfqvH9oLczoCUlniiZ4ERERERGRYkgFVhERkRKmRc0yTOzX2HnHEcChPyIpZbkKgL3xe3lq5VOk29Oz71yjLQxaAIFlnPeP/wZzBoFmHBIRERERkRJKBVYREZESqGfjSrzUrS4ARkYYJ/68jxDfcAA2ndjES6tfwmE4su9cuRkMWQIhFZz3Y1fDvmVFEbaIiIiIiEixowKriIhICfVQ+1rc16o6ALa0CM4fGoi/TwAAyw4t4/82/h85roVZvi50f/vf+8tHg8NeyBGLiIiIiIgUPyqwioiIlFAmk4lRPevR6TrnolaJ1sqYTg3EbPIBIHpPNFN3Ts15B9fdDpWvd94+9Qf8/nVhhywiIiIiIlLsqMAqIiJSgvn6mPmwf1MaVXFOD3D6VC3CkyJd29/f+j7f7/8++84mE3R+/d/7K98CW0phhisiIiIiIlLsqMAqIiJSwgX5+fL5oOZUKR0IwN+H6lPR0du1fdS6Uaw+sjr7zjXawtW3Om9bj8LGyYUdroiIiIiISLGiAquIiIhQLtSf6UNaEB5oAWDvn82p7tsFALth59lfnmXH6R3Zd+40CjA5b6+eCCnxRRCxiIiIiIhI8aACq4iIiABQp3wIkwfegJ+PGTCxc0cHaga2BiAlI4VhK4ZxyHro4o5X1YfG/Z23U8/BmveKLGYRERERERF383V3AFJ4bDYbNpvN3WEUuMxz8sZzE/FWylvP0bRKKG/f1YCnZ28HzGzf1p0GzRI5lLyT+LR4Hl72MNO6TCMiMOLCju2ex3fnPEz2NIz1n5DR7H4Iq+yWc5Arp5wV8SzKWRHPo7wVKf7yk58mwzCMQoxFilBUVBRRUVHY7Xb27t1LdHQ0QUFB7g5LREQ80IqjJhb87QOA2SeZytd8yjlOAlDRpyIPhDxAgCnggj71jn7F1aeWAHCoTHt+q/5g0QYtIiIiIiJSQJKTk4mMjCQhIYGwsLBc26rA6oWsVivh4eHExcVd8gXgiWw2GzExMXTu3BmLxeLucEQkD5S3nscwDMYs2sOsjYcBCAlKoty1nxGX6iyytriqBR91+AiLT5bfZ0o8vh/fgCk1AcNkJmPoKihX1x3hyxVSzop4FuWsiOdR3ooUf1arlYiIiDwVWDVFgBezWCxe/Ubt7ecn4o2Ut55lzB0NOJmYxvLdpzifHEzw30MIrTyJRFsCG09uZPTG0YxvNx6z6Z8p3S3loe1wWD4Kk+HA8vNbEPm1e09CrohyVsSzKGdFPI/yVqT4yk9uapErERERyZavj5kP+zelUZVwAE6eKUXA2aH4+zinBlhycAkTN0+8sFPLhyG0kvP23iVwaF1RhiwiIiIiIlLkVGAVERGRHAX5+fL5oOZUKR0IwIEjEVROH+oatTrzj5l8+ceX/3awBMLNI/+9H/MaaDYiERERERHxYiqwioiISK7KhfozfUgLwgOdl8j8vrcy9S33u7a/u+Vd9sfv/7dDk0god53z9pFNsGdRUYYrIiIiIiJSpFRgFRERkUuqUz6EyQNvwM/H+afDut/r0CjkdgBsDhuvrXsNu8PubGz2gU6j/u28fAzYM4o6ZBERERERkSKhAquIiIjkSYuaZZjYr7Hr/trNzSnrVwWAHXE7+HJ3lqkCrukK1Vo7b5/ZB9u+KMpQRUREREREiowKrCIiIpJnPRtX4qVudZ13DAvH9vfEhAmAj7Z9xCHrIec2kwk6jfm348/jIT2piKMVEREREREpfCqwioiISL481L4W97WqDkB6UnWwtgUgzZ7Ga2tfw2E4nA2rtYS6PZy3z5+A9ZPcEa6IiIiIiEihUoFVRERE8sVkMjGqZz1uqVseAOuxzlgcEQBsPbWVr/d8/W/jjqPA9M+fG2s/gKQzRR2uiIiIiIhIoVKBVURERPLN18fMe/2aULlUIBh+JBzu5dr2/tb3OZJ4xHmn3DXQ9D7n7TQrrH7HDdGKiIiIiIgUHhVYRURE5LKEB1mIurcZFh8T9uTapMe3BCAlI4XRv47GMAxnww4vgW+g8/bGyRAf656ARURERERECoEKrCIiInLZmlQtxcju1wGQdqobZJQCYMPxDczbN8/ZKKwitH7Medthg5Vj3RCpiIiIiIhI4VCBVURERK7I4DY16NagAjgCSD7W2/X4O5vf4UTSCeedG5+CwDLO29tnw/HtbohURERERESk4KnAKiIiIlfEZDLxf30aUa1MEPaka7Cdux6AJFsSr//6unOqgIBwaD/inx4GLB/ttnhFREREREQKkgqsIiIicsXCAix8fG8z/HzMpJ68DYctFIDVR1ez6MAiZ6PmD0B4Neftv1bAgZ/dE6yIiIiIiEgBUoFVRERECkSDyuG82rMeOIJIPdHL9fj4jeM5nXwafP3hllf+7RAzChwON0QqIiIiIiJScHzdHYAUHpvNhs1mc3cYBS7znLzx3ES8lfK25Li7WUXW749j8U6wJTTGEv471nQrb/z6Bu+0ewfTdXfiu/ZDTKd2wvHfyNgxF6Ner0vvWIqUclbEsyhnRTyP8lak+MtPfpoMwzAKMRYpQlFRUURFRWG329m7dy/R0dEEBQW5OywRESlhUu0wcbsPp23JBNV6F7NvEgB3B91NQ7+GlLNup81f7wBw3q88P103HsOs73xFRERERKT4SE5OJjIykoSEBMLCwnJtqwKrF7JarYSHhxMXF3fJF4AnstlsxMTE0LlzZywWi7vDEZE8UN6WPHtOJNLn0w3YA38jsEo0AKX9SzP3trmU9i+FT3RvzLGrAbB3GY+j+YPuDFf+Qzkr4lmUsyKeR3krUvxZrVYiIiLyVGDVcBEvZrFYvPqN2tvPT8QbKW9LjoZVyzDm9vq8+K0dm7U+lrBdxKfF887Wd3j7preh8+sw+WYAfNa8g8/1A8A/1M1Ry38pZ0U8i3JWxPMob0WKr/zkpha5EhERkUJxd/Oq9G5ahbQTd2JkOKesWRK7hBV/r4DKzaB+b2fD5DhY9z83RioiIiIiInL5VGAVERGRQmEymXizVwNql61I6smersffXP8mCWkJcMsrkDn36rqP4PwpN0UqIiIiIiJy+VRgFRERkUIT5OfLx/c2w5JyPRmJdQGIS4ljwqYJULY2XD/E2dCWBL/8nxsjFRERERERuTwqsIqIiEihuuaqUN64syGpJ3ph2P0B+P6v71l9ZDXc9AL4hTgbbpkOZ/5yX6AiIiIiIiKXQQVWERERKXR9rq9C3yb1STt1m+ux0b+O4bxfILR5wvmAIwN+esNNEYqIiIiIiFweFVhFRESkSIy5vQE1/W8h43wdAE4ln+TdLe9C62EQXM7ZaNd3cHSLG6MUERERERHJHxVYRUREpEgE+vkwacD1mM/0xXD4ATBn7xw2nP3DOVVApphRYBhuilJERERERCR/VGAVERGRIlO7XAhjb7+JtFPdXI+NXP0ayY36QZlazgdiV8P+FW6KUEREREREJH9UYBUREZEidUeTyvS5ui8ZSTUBOJVyjInbouCWV/9ttHwUOOxuilBERERERCTvVGAVERGRIjeqZwOq2AdhOCwAzN77NVsiqkGlps4GJ3fCjjlujFBERERERCRvVGAVERGRIhdg8WFy/64Q3/WfRwyGr3yF1Fte+bfRT2+CLdUt8YmIiIiIiOSVCqwiIiLiFjUighnf6THsKVUBOJt+lDFHNkGdTs4GCYdh0xQ3RigiIiIiInJpKrCKiIiI2/RoVIVbyz+J4fABYFHsV2xo3B8wORusfgdSzrktPhERERERkUtRgVVERETcavztnSlj6+G8YzJ4cusU0hr2cd5PiYe1H7gvOBERERERkUtQgVVERETcyt/Xhxm9n4e0ygAkc5ThprLg4+dssH4SWI+5MUIREREREZGcqcAqIiIiblczIozhTV/FMJx/mvxi/ZFfr7nTuTEjBX4e577gREREREREcqECazHx999/M2DAAOrWrUtYWBghISE0aNCA119/ncTERHeHJyIiUuiGNL+RBkG9ADCZHAxLjCXdL9S5cduXcPpPN0YnIiIiIiKSPRVYi4mTJ09y5MgRevXqxfjx45k4cSKtW7fmzTff5Oabb8Zms7k7RBERkUI39c6X8HNUAsBmOcGIMjc4NxgOWPG6GyMTERERERHJnq+7AxCn5s2b8/PPP1/w2MMPP8w111zD888/T0xMDN27d3dPcCIiIkUkyM+fdzqM5clfhoDJYIV/LDuCytEw+TTsWQR/r4dqrdwdpoiIiIiIiItGsBZzNWvWBCA+Pt7NkYiIiBSNm2teT8dK/QAwme08Fn4V9syNMaPAMNwWm4iIiIiIyH+pwFrMpKamEhcXx+HDh1m8eDEjR44kICCA9u3buzs0ERGRIvN/HUcQ5uOcKuBcgJUPwqs4NxxeD38ucWNkIiIiIiIiF/LKAmtycjJLlizhzTffpHfv3lSvXh2TyYTJZGL06NF52kdiYiKjR4+mYcOGhISEEB4eTvPmzZk4cSLp6emFFvuUKVMoV64c1apVo0ePHpjNZr7//nuqVq1aaMcUEREpbvx9/Pmg0zgwTABML+VLrO8/MxstHw32DPcFJyIiIiIikoVXzsG6cePGK5qv9NChQ3To0IHY2FgAgoKCSEtLY/PmzWzevJlZs2axYsUKSpcufVFfwzBIS0vL03HMZjN+fn4XPHbnnXdSt25dEhISWLduHb/88gtWq/Wyz0VERMRT3VChGb3r3MO3f32FYXYwPKIyc08cwhz3J/weDc0GujtEERERERER7xzBClC6dGk6duzIiBEj+Oqrr6hQoUKe+mVkZNCzZ09iY2OpWLEiMTExJCUlkZyczNdff01oaCjbtm1jwIAB2fY/dOgQgYGBefpp1qzZRf2rVKlCp06duOuuu5g4cSIvvPACffv2Zfny5Vf0fIiIiHiiF1o+TYR/RQD2BRp8HRri3LByHKQnuzEyERERERERJ68cwdquXTvOnj17wWMvvvhinvrOmDGDHTt2ADBv3jxat24NOEeb3n333TgcDiIjI/nhhx9YsWIFHTt2vKB/REQE06ZNy9OxshsB+1+9e/cmICCAadOm0alTpzztV0RExFsEWYJ4u8Nb3L/0fgAmlilD+5QUqiQegw2fQLvhbo5QRERERERKOq8ssPr4+Fx23xkzZgBw8803u4qrWd1zzz28/PLLHDx4kJkzZ15UYA0JCWHw4MGXffz/ysjIwGazER8fX2D7FBER8STNKzSn7zX9mLN3NulmGBVRliknTsGa9zBdPxiCyrg7RBERERERKcG8doqAy5GcnMzatWsB6NatW7ZtTCYTXbt2BWDZsmUFduyTJ09m+/inn36K3W6nZcuWBXYsERERT/PsDcMpH+ic7mdjYADzQoMxpVlh9UQ3RyYiIiIiIiWdV45gvVy7d+/G4XAA0KBBgxzbZW47ceIEZ8+epUyZKx8588ILL/DHH3/QuXNnqlevzvnz5/nll19YuHAh1157LU899dQVH0NERMRTBVuCef3G0Tyy/BEA3ilTmrbJqZTf8Bnmlg9DqWpujlBEREREREoqFVizOHbsmOt25cqVc2yXdduxY8cKpMDau3dvzpw5w4wZMzh9+jS+vr7UqVOHV155heeee46wsLAc+6alpZGWlua6b7VaAbDZbNhstiuOrbjJPCdvPDcRb6W8lYLQonwLbq91OwsOLCDJbGZMRBk+Pnma5B/HYLnrE3eH51WUsyKeRTkr4nmUtyLFX37yUwXWLBITE123g4KCcmyXdVvWPlfi9ttv5/bbb7+svuPGjWPMmDEXPb5s2bJcz8PTxcTEuDsEEckn5a1cqYaOhqw0rSTRSGRNUCALQ4LpsWceK+c24XyQRrEWNOWsiGdRzop4HuWtSPGVnJyc57YqsHqBl156ieHD/11F2Wq1UrVqVbp06ZLryFdPZbPZiImJoXPnzlgsFneHIyJ5oLyVghRxJIJnVj0DwPgypWmdkkLNkz9QddgCN0fmPZSzIp5FOSvieZS3IsVf5hXieaECaxahoaGu27lVqbNuy9rHXfz9/fH397/ocYvF4tVv1N5+fiLeSHkrBaFTzU50P9ydHw7+QKKPmTfLluH9U+vYvv5HGrfr6e7wvIpyVsSzKGdFPI/yVqT4yk9umgsxDo9TqVIl1+2jR4/m2C7rtqx9REREpGi82OJFygQ450D/KTiIpcFB+KwYzcmEFDdHJiIiIiIiJY1GsGZx3XXXYTabcTgc7Ny5k27dumXbbufOnQBUqFChQBa4Kixa5EpEigvlrRS0EJ8QXrzhRZ5f8zwAY8uWZn7KAaZO/ZBhjz6Nr4++Q74SylkRz6KcFfE8yluR4k+LXF2moKAgbrzxRlavXs2PP/7IiBEjLmpjGAZLly4FoEuXLkUdYq6ioqKIiorCbrcDWuRKRIof5a0UtPqW+uyy7SLex4fxZUvzyMmpPP3pNXSvoQJrQVDOingW5ayI51HeihRfWuTqCgwaNIjVq1ezcuVKNmzYQMuWLS/YPmfOHA4cOADAwIED3RFijoYNG8awYcOwWq2Eh4drkSsRKTaUt1JYWqS0oO/iviSkJ7AkJJhbk05T7tQvBHV6ng7XlHN3eB5LOSviWZSzIp5HeStS/GmRKyA+Pt41khPA4XAAzupzXFyc6/GAgABCQkJc9wcNGsQHH3zAjh07uOuuu5gxYwYdO3bE4XAwb948hg4dCkC3bt3o2LFjEZ3N5fH2ybK9/fxEvJHyVgpaRUtFXmjxAiPXjATgzbJlmJLyHQPm3sy8p7pQqVSgmyP0bMpZEc+inBXxPMpbkeJLi1wBTZs2pVy5cq6fw4cPAzBhwoQLHn/88ccv6Ofr68uCBQuoUaMGR48epVOnTgQHBxMcHEy/fv2wWq00bdqUWbNmueO0RERE5D961OrBTVVuAiDO14epZc30SV/A49Fbsdkdbo5ORERERES8ndeOYL0SNWrUYPv27bzzzjt8++23HDx4EIvFQv369enfvz9PPPEEfn5+7g7zkrTIlYgUF8pbKWwv3fASW05s5HxGCgtCQ3j3/DKi/+7I+B/CebHrte4Oz+MoZ0U8i3JWxPMob0WKv/zkp8kwDKMQY5EilHWRq7179xIdHe3Vi1yJiIhktTltM/NT5gNwVUYGfQ7VY3z6/Tx4rZ2GZfTnjoiIiIiI5F1ycjKRkZEkJCRcco0jFVi9UOYiV3FxcVrkSkSKBeWtFAXDMBi2/EHWn94GQG9rEiuPvcI5/8rMf6wVVUvrS8e8Us6KeBblrIjnUd6KFH9Wq5WIiIg8FVg1RYAX8/bJsr39/ES8kfJWCtuY9uPp9e1tJBsZfBsWzP2JM/nAOoJnZu9gziNt8PP12unnC4VyVsSzKGdFPI/yVqT40iJXIiIiUiJVCqnEM02fct1fWv4k9cx/8vuRBMb+sNuNkYmIiIiIiLdSgVVERES8Sr8GA7k+sBIARy2+1LlqFgDT18Xyw47j7gxNRERERES8kKYI8GI2m80rVyTUaosinkd5K0Xt1Zs/4J7FfUk1wc/haTS1LmdbUieen7uda8oHUb2M5mPNjXJWxLMoZ0U8j/JWpPjLT35qkSsvEhUVRVRUFHa7nb179xIdHU1QkP4DKSIiJdPOs7P42uycFqCSDfb+NQbD8KdKsMHTDexYdB2PiIiIiIjkIDk5mcjIyDwtcqUCqxeyWq2Eh4cTFxd3yReAJ9JqiyKeR3kr7mC323jgqzZsN9sBqHv+GjYdvh+A/s2r8Prt9dwZXrGmnBXxLMpZEc+jvBUp/qxWKxEREXkqsGqKAC/m7asRevv5iXgj5a0UJYvFwhs3vECfLW9hM5nYG/wnIcGxnE+qwVebjtCqdgR3NKns7jCLNeWsiGdRzop4HuWtSPGVn9zUxXEiIiLitWo17M9jprIAOEwmKlePBlMGACO/3cFfp8+7MzwREREREfECKrCKiIiIVxvc6T3qpaUBcMyw0qzeWgCS0u0Mm7WVlHS7O8MTEREREREPpwKriIiIeDXfys14vdQN+P4z7fwBx4/UqBgPwJ4TiYxesMud4YmIiIiIiIdTgVVERES83rWd3mJognM6ADsGYZVnE/jPlErfbD7MvC1H3BidiIiIiIh4Mi1y5cVsNhs2m83dYRS4zHPyxnMT8VbKW3G70CrcX/sulh9fxD4/Pw4mHaRT650sXNUAgFfm7+C6CsFcXT7EzYEWD8pZEc+inBXxPMpbkeIvP/lpMox/rpcTjxcVFUVUVBR2u529e/cSHR1NUFCQu8MSEREpFvxsVirtf5FBFUpjN5nwwUyNc0/w2/GKAFQINBje0I6/j5sDFRERERERt0tOTiYyMpKEhATCwsJybasCqxeyWq2Eh4cTFxd3yReAJ7LZbMTExNC5c2csFou7wxGRPFDeSnFhXjORj7Z/zOelwgG4rnQ9zv31MHtPpgBwZ+OKvH1XA0wmkzvDdDvlrIhnUc6KeB7lrUjxZ7VaiYiIyFOBVVMEeDGLxeLVb9Tefn4i3kh5K2534xM8umUqK9JtxPpZ2B3/B4Pb7OPo4uokpduZ//txWteJ4O7m1dwdabGgnBXxLMpZEc+jvBUpvvKTm1rkSkREREoOv2D8O7zIG3FnMP1zEc9X+yYz/LbSriavfb+L3cet7opQREREREQ8jAqsIiIiUrI0vY8mIdUYYE0EIM2exqqzHxPZoorzfoaDYbO2cj4tw51RioiIiIiIh1CBVUREREoWHwt0fI0n4hOo+s/KoFtPbeXaa3ZQv5JzbqUDcUm89O0ONFW9iIiIiIhcigqsIiIiUvJcdzuBla5nTNxZ10NRv3/Iq3dWIMTfOUX9wt+PMWvD3+6KUEREREREPIQWufJiNpsN2z8jc7xJ5jl547mJeCvlrRRHpptfpfmXd3C3NZFvwkJJyUjhsz/G8dYdo3lq9g4AxizcRYOKIa6RrSWFclbEsyhnRTyP8lak+MtPfpoMXfvmNaKiooiKisJut7N3716io6MJCgpyd1giIiLFVsu/JhKauJ1eVSpy3Nf5vfMdgXfw97GWrDrhvNCnrL/BiEZ2AvW1tIiIiIhIiZGcnExkZCQJCQmEheU+4EIFVi9ktVoJDw8nLi7uki8AT2Sz2YiJiaFz585YLBZ3hyMieaC8lWLr1G58J7fn10B/Hq5QHoBg32Bmdf2GZ6L/ZvtRKwC31ivPR/c0xmQyuTPaIqOcFfEsylkRz6O8FSn+rFYrEREReSqwaiyGF7NYLF79Ru3t5yfijZS3UuxUbgRNImnz2yx6JZ7nu9AQkjKSeGfbeP4X+Q49PlqDNTWDpX+cInrTUQbfWNPdERcp5ayIZ1HOinge5a1I8ZWf3NQiVyIiIlKydXgJfPx57mw85TPsAKw5uobfzq3gnb6NXc3e+mE3vx0+56YgRURERESkuFKBVUREREq2UlWh5UOEOQxeizvjenj8xvE0renDg22do1ZtdoPHo7eSlJbhrkhFRERERKQYUoFVREREpO1wCAjnppRUbjufBEBieiJvrH+D57teS7NqpQA4Ep/C/1bud2OgIiIiIiJS3KjAKiIiIhJUxllkBV48E08ZfABYeXglPx2O4d1+TfDzcf7ZNGX1AQ7GJbktVBERERERKV5UYBUREREBaPkwhFWmlMPByydPuB4eu2EsYSFpDG3/71QBYxbuwjAMd0UqIiIiIiLFiAqsIiIiIgCWQLh5JABdklPo7PAHID4tnnEbxjHs5jpUDA8A4Oc/T7Ni9ym3hSoiIiIiIsWHr7sDkMJjs9mw2WzuDqPAZZ6TN56biLdS3orHqNcH33UfYTq9h5GH/2JjratJsKfwY+yPdKraiRdurcfTs7cDMGbhLlrVCMff4uPmoAueclbEsyhnRTyP8lak+MtPfpoMXd/mNaKiooiKisJut7N3716io6MJCgpyd1giIiIe5aqEbbQ68B4A80pVYnRp5/fRIaYQngh5kql7QthvdV4EdFtVO12q6E8pERERERFvk5ycTGRkJAkJCYSFheXaVgVWL2S1WgkPDycuLu6SLwBPZLPZiImJoXPnzlgsFneHIyJ5oLwVj2IY+HzRE/Ph9RjA4w1uYlXSQQB61OzBgFojuP3j9dgdBgEWM0ufvJFKpQLdG3MBU86KeBblrIjnUd6KFH9Wq5WIiIg8FVg1RYAXs1gsXv1G7e3nJ+KNlLfiMbq8AZ93xgS89vef9KpQhkTbeRYdXESn6p24r1V1pq+LJdXm4O1l+4m6t5m7Iy4UylkRz6KcFfE8yluR4is/ualFrkRERET+q2oLqNsDgKusJxgR3si1adSvo7j3xnDKBvsBsHjHcdbtj3NLmCIiIiIi4n4qsIqIiIhkp+MoMDkXsLrz98V0rnwTAAlpCYzfPIoRt17tajpqwS5sdodbwhQREREREfdSgVVEREQkO+WugWb3AWBKT2RUuj9XBV0FwMYTGzkfsILGVUsBsO/UeWb+eshdkYqIiIiIiBupwCoiIiKSk5teBF/nAlbhm2cwrslTmDABEPXb/xjUwYzJeZf3Y/ZyOjHNXZGKiIiIiIibqMAqIiIikpOwitD6Medth43m2xfwYMMHAcgwMpi69y16NysHQGJaBv/34x53RSoiIiIiIm6iAquIiIhIbm58CgLLOG/vmM2jYQ1oGNEQgEPWQ/iU/57QAF8A5m45wta/490VqYiIiIiIuIEKrCIiIiK5CQiHDi+57loWPM745i8R5BsEwJLYBfRofcq1fdT3u7A7jCIPU0RERERE3EMFVhEREZFLaf4g1GzvvG09SrVf3mVky3+Lrr+cnUSdijYAdhxNYPbmw+6IUkRERERE3EAFVhEREZFLMZvhzk+co1kBdn3L7UlpdK3RFYDE9ETCqs0BHAC8/eMeziWnuylYEREREREpSiqwioiIiORFeGXo8b7rrumH53i13hAqBlcEYJ91O40abAUgPtnGuzF73RGliIiIiIgUMV93ByCFx2azYbPZ3B1Ggcs8J288NxFvpbwVr3FtT3wa9sO8YzakWQlZ+CxvdnmdoT89jMNwcMjxHYEhFUg5X4Uv1x+iT9NKXFcx1N1R55tyVsSzKGdFPI/yVqT4y09+mgzD0CoMXiIqKoqoqCjsdjt79+4lOjqaoKAgd4clIiLiVXztydy85xWC0uMA2FXpbj4J8+fntJ8BCHCU4fS+J8ERQO1Qgyfq2zGZ3BiwiIiIiIjkW3JyMpGRkSQkJBAWFpZrWxVYvZDVaiU8PJy4uLhLvgA8kc1mIyYmhs6dO2OxWNwdjojkgfJWvI3p71/x+eJ2TBgYZgupg37gwZ0fsD1uOwD+KS2Ii+0NwMQ+Dbm9cUV3hptvylkRz6KcFfE8yluR4s9qtRIREZGnAqumCPBiFovFq9+ovf38RLyR8la8Ru320PZpWPMeJoeNwIWP83/3RtNnyQCSbEmkBW7EN6wWGdYmvL1sL10bViLY3/P+7FLOingW5ayI51HeihRf+clNLXIlIiIicjk6jIQKjZy34/6kyq+f8XLLl12bQyp/j8lylpPWND76ab+bghQRERERkcKmAquIiIjI5fD1g7umgG+A8/7GT+npCOS2WrcBYCeFoMqzATufrznAX6fPuy9WEREREREpNCqwioiIiFyuctdClzf/vQZ0KWAAAJ5wSURBVP/9Y7zc8FEqh1QGwBwYi1/ESmx2g9cX/oGmvhcRERER8T4qsIqIiIhcieYPQp1OztvnTxL640jGtxuPj8kHAP+IFZgDD/HL3tMs333KjYGKiIiIiEhhUIFVRERE5EqYTHDHxxBU1nl/zyKaHNnBw40f/me7QWClr8GcyuuLdpFqs7svVhERERERKXAqsIqIiIhcqdCroOeH/95f8gJDK3eiafmmAJj94gmoMJ/DZ1P4bNUBNwUpIiIiIiKFQQVWERERkYJwXQ9oNtB525aE7/xHGd/mTUItoQBYwn/DN2wbH/+8nyPxyW4MVERERERECpIKrCIiIiIF5dZxULqm8/aRTVT67Wtebf2qa3NAhfmkcZq3Fu92U4AiIiIiIlLQVGAVERERKSj+IdB7MvyzwBU/j6ebpTy3174dAJNPGoGVvmHJzqOs2RfnxkBFRERERKSgqMAqIiIiUpCqNoebnnfeNuzw7YOMbPIkVUKqAOAT9Dd+ESsYvXAXNrvDjYGKiIiIiEhBUIFVREREpKC1ew4q3+C8ffYAwSvH8n/t/w+ff0a2+kWs5GDiDmasi3VfjCIiIiIiUiBUYBUREREpaD6+0PszsAQ772+ZTqMzRxjWZBgAJpNBQOVveP+n7ZxKTHVjoCIiIiIicqVUYBUREREpDGVrQ9dx/95f8Dj317iNG65yjmw1W86RUWYO437QglciIiIiIp5MBVYRERGRwtJsIFx7m/N28hl8Fj7FuLZjCbGEAmAJ287CAwvYcuisG4MUEREREZEr4evuAKTw2Gw2bDabu8MocJnn5I3nJuKtlLdSonWbiO+RTZiSTsG+ZZTbuYDXWr7K82ucC2EFVFjASwvrs2Do7fiYTW4O1kk5K+JZlLMinkd5K1L85Sc/TYZhGIUYixShqKgooqKisNvt7N27l+joaIKCgtwdloiISIlXPuF3Wh+YCECGyY9f6r7ODPt6ttm2AmBPqUJ380O0u0oXF4mIiIiIFAfJyclERkaSkJBAWFhYrm1VYPVCVquV8PBw4uLiLvkC8EQ2m42YmBg6d+6MxWJxdzgikgfKWxEw//gCPls+B8BRoTGJ986j9w/3cSr1KACmhI6sGDSWUkHuzxHlrIhnUc6KeB7lrUjxZ7VaiYiIyFOBVVMEeDGLxeLVb9Tefn4i3kh5KyXarW/CodUQtxfzid8J3/gJH3acSP/F92JgxxH2E6/GLOKTPv3cHamLclbEsyhnRTyP8lak+MpPbuo6NBEREZGi4BcEvSeD+Z/vt9e8S/0kK/fXexQAk8lg9bkP2HDosBuDFBERERGR/FKBVURERKSoVGoCN7/svG044LuHeLLB3VQOaAiA2WLl6RUv43A43BejiIiIiIjkiwqsIiIiIkXpxqegWhvn7XN/Y/7xJSZ3eweTw7kw5Xmfbbz201Q3BigiIiIiIvmhAquIiIhIUTL7QK9PwP+fifJ/j6bq4Q08UPcFV5PvD09i1+n9bgpQRERERETyQwVWERERkaJWujp0n/Dv/YVP81T9VpTnJud9czqPLhuOzW5zT3wiIiIiIpJnKrCKiIiIuEOju6F+L+ft1HMw/1Em3ToKR3o5AOIzDvL62onui09ERERERPJEBVYRERERdzCZ4LZ3IbSS8/6Bn7nm4BzurDQCw/ABYP7BWfx67Fc3BikiIiIiIpeiAquIiIiIuwSVgV6T/r2/fDSvNq5CQGIP10PP/fwS8anxbghORERERETyolgWWPfv38+QIUPcHYaIiIhI4avVAVo/7rxtTyNgwcO80fZ+Ms5fDYDVdoZX176GYRjui1FERERERHJUrAqsu3fvZsCAAVx33XXMnDnT3eGIiIiIFI1bXoXy9Z23T+2i66nPaej/EI6MYAB+OfIzc/bOcWOAIiIiIiKSk2JRYN2xYwf9+vWjYcOGfPXVV9jtdneHJCIiIlJ0LAFw12Tw8QPA9GsU7zYF24k+riZvb3ybA+cOuCtCERERERHJgW9B7OT8+fOsXr2agwcPkpCQQGhoKA0aNKBdu3b4+Pjk2O/3339n9OjRLFy4EMMwMAwDk8kEQGBgYEGEJiIiIuIZrqoPnUbD0pGAQZVfhvNQ/alMjv0Tv9LrSXOk8fyq54m+LRq/fwqxIiIiIiLifldUYD137hwvv/wyn3/+OTab7aLt5cqV46233uKBBx644PHjx48zYsQIvv7664sKq0FBQTz66KM899xzVxKaiIiIiOdp+SjsXQoHfwHrUZ5Km8RX5/uREnQAH/9T/Bn/Jx9s/YARzUe4O1IREREREfnHZU8RcPLkSW688UY++eQT0tPTL1p4wTAMTp06xUMPPcQrr7zienzhwoU0atSIr776CofD4Xo8NDSUkSNHEhsby9tvv0358uUvNzQRERERz2Q2w52TIKAUAJbd8/m44WFSj/bHcDivCpr5x0zWHV3nxiBFRERERCSryy6wPvjgg+zevRvANfo0czRqZrHVZDJhGAbjxo1j7dq1zJs3j969e3P27FnXfkqXLs2YMWM4dOgQb775JmXLlr2S8xERERHxbOGVoef7rrst/niLzhFlSDvVzfXYy2tf5mzq2Ww6i4iIiIhIUbusAuvWrVtZvHixq4BapUoV3n33XTZu3Mi+fftYv349//d//0elSpVcfUaPHs0jjzyC3W7HMAwCAwMZPXo0sbGxvPrqq4SHhxfYSYmIiIh4tPq9oNE9AJjSrLxr+QTHuVZknL8GgLiUOF5b+9pFVxCJiIiIiEjRu6w5WKOjo123GzVqxMqVKyldurTrsdq1a9OiRQvuv/9+br75Znbt2sVPP/3kmmu1WbNmzJkzhxo1alzxCYiIiIh4pe5vw6F1kPA3wSc2EFWjKY/+3ZegWu9j9k3ilyO/8PWfX9O/bn93RyoiIiIiUqJd1gjWjRs3um5PmjTpguJqVmXLluXjjz++YHRFzZo1WblypYqrl7Bnzx78/f0xmUz8+OOP7g5HREREilpAOPT+FHBOxXTryc9pYTlH6rG+riYTN09kX/w+NwUoIiIiIiJwmQXW/fv3A1ChQgVat26da9u2bdtSoUIF1+jV559/npCQkMs5bIny6KOPYrFY3B2GiIiIuFP1NtD2GQBMDhufBX+CJakm6WfbAJBmT+P5Vc+TZk9zZ5QiIiIiIiXaZRVYExISMJlM1KlTJ0/tr776atftW2655XIOWaJ88cUXbNiwgeeee87doYiIiIi7dXgJKjYGIDzpIG+HzyPtVDfsqVcBsP/cft7b8p47IxQRERERKdEuq8CakpICQHBwcJ7aBwUFuW5Xq1btcg5ZYpw7d47nnnuOF198UdMoiIiICPj6Qe8p4BsIwO1pi7jJ9Aepx/qD4ZxOf9buWaw6ssqdUYqIiIiIlFiXVWC9En5+fkV9SI/y4osvEhISwvPPP+/uUERERKS4KHcNdHnDdffDwMmEpwWRerK767FX175KXEqcO6ITERERESnRirzAWhSSk5NZsmQJb775Jr1796Z69eqYTCZMJhOjR4/O0z4SExMZPXo0DRs2JCQkhPDwcJo3b87EiRNJT08vlLg3bNjA5MmT+eCDDwgICCiUY4iIiIiHav4g1OkMQLj9LBP8P8cW34qM83UBOJt6llfWvoLDcLgzShERERGREsfX3QEUho0bN9K9e/dLN8zBoUOH6NChA7GxsYBzioO0tDQ2b97M5s2bmTVrFitWrKB06dIX9TUMg7S0vC00YTabXSN67XY7jz76KN27d6dHjx6XHbuIiIh4KZMJ7oiCSa0h+QydTJvo67OKucf6EH71h9hNVtYeXUv07mgG1Bvg7mhFREREREqMKyqw7t+/n9dffz1P7TLlpX2m11577bLiAihdujTNmjVz/TzzzDOcOHHikv0yMjLo2bMnsbGxVKxYkZkzZ9KpUyccDgdz5sxh6NChbNu2jQEDBrB48eKL+h86dIiaNWvmKcb69euzc+dOAP73v/+xe/du5s6dm78TFRERkZIj9Cq4/SP4OhKA1y0z2ZB2HUcP9yGo2lQA3t3yLs0rNOfaMte6M1IRERERkRLjigqsf/31F2PGjMlTW5PJBJDn9nD5BdZ27dpx9uzZCx578cUX89R3xowZ7NixA4B58+bRunVrwDna9O6778bhcBAZGckPP/zAihUr6Nix4wX9IyIimDZtWp6OlTkCNiEhgVdffZWBAwdiNptdI2fj4pzzqJ08eZLY2FiqVq2Kj49PnvYtIiIiXqrubdBsEGydQSCpvG+Jom/SKHwSb8Ie+gs2h40XVr3A1z2+JsBXUw6JiIiIiBS2K54iwDCMS7bJLK7mtf1/++TXlRQhZ8yYAcDNN9/sKq5mdc899/Dyyy9z8OBBZs6ceVGBNSQkhMGDB+frmPHx8SQmJvLZZ5/x2WefXbQ9c3+HDx+mSpUq+dq3iIiIeKFbx0Lsajh7gGbm/Qzz+Z4Pj95O1fqxnLMf4q+Ev3hn8zu80uoVd0cqIiIiIuL1LqvAWq1atSsqgBZXycnJrF27FoBu3bpl28ZkMtG1a1cmTZrEsmXLCuS45cuX57vvvrvo8Z9++omPPvqI1157jaZNmxIREVEgxxMREREP5x8CvSfD513AsPOk77esSm/Erv13EVb7f6Q70vnmz29oW7ktHap2cHe0IiIiIiJe7bIKrJmXsHub3bt343A4V95t0KBBju0yt504cYKzZ89SpkyZKzpuUFAQd95550WPnzt3DoDWrVvTtWvXKzqGiIiIeJkqN8BNz8PP4/A1OXjPEsVtqeMoZ+vHUZ8vAXht7WvMu30e5YLKuTlYERERERHvdcVTBHiTY8eOuW5Xrlw5x3ZZtx07duyKC6xXKi0tjbS0NNd9q9UKgM1mw2azuSusQpN5Tt54biLeSnkrUkhaP4XP3mWYj22hpvkkr/h+wci9D9KyZWv+sP5KfFo8I1eP5H83/w+zyZzn3SpnRTyLclbE8yhvRYq//OSnCqxZJCYmum4HBQXl2C7rtqx9CtrgwYPzNJ/ruHHjsl08bNmyZbmeh6eLiYlxdwgikk/KW5GCF1zqHjqc2ImvI41I35X85GjGlu0dCam5k/NGIutPrOfV717lxoAb871v5ayIZ1HOinge5a1I8ZWcnJzntiqweoGXXnqJ4cOHu+5brVaqVq1Kly5dCAsLc2NkhcNmsxETE0Pnzp2xWCzuDkdE8uD/2bvz8KjKs4/j30kyCQRIWAKyyCKCG6CiAiIuWARF675HKy611uJWW+vWt6Wb1qptrR1b9x33pdY94gaoIIoCikbZZBExLBkgECYz8/4RCVAVkpAwMyffz3V5XWfOnHPmfkx+yeTmzPOYW6mRfRCG5y4B4LrwbRy25joGF15MyYo/AlCyroQfDf0Ru7TdpVaXM7NSZjGzUuYxt1L6W/8J8dqwwbqRVq1a1Wxvrku98XMbn5MqeXl55OXlfWt/OBwO9A/qoI9PCiJzKzWSfc6EWa/AJ8/SLrSS68K38dN3L6f4sNN4YtaDVCWquPrtq3nkh4/QPKd5rS9rZqXMYmalzGNupfRVl2zWq8H65ptvAtC2bdvNLgZVH7fffjszZ84kFApx4403Nui1t6Rz58412wsXLmT33Xf/zuMWLlz4neekG+dglZQuzK20DYy8kZz5kwmtXsIPsj/gpNjLzJ91Mru0eY9Pln/CnPI5XDfpOq4eePUWL2VmpcxiZqXMY26l9Nfoc7AOHTqUUCjEoYceyvPPP7/ZY3/wgx8AMHDgQP785z9v8dpPPvkkL730UkoarLvuuitZWVkkEglmzJjByJEjv/O4GTNmANCxY8eUL3C1sUgkQiQSIR6PA87BKin9mFupcXXoeAaDZ90AwNU5D/LDT3Zj0C6HMYtZxIjxxOdPkLcoj91yd6vV9cyslFnMrJR5zK2UvtJqDtbXX3+dUChEs2bNGvultlp+fj5Dhgxh/PjxvPjii1x22WXfOiaZTPLSSy8BMGLEiG1d4maNHj2a0aNHE41GKSwsdA5WSWnD3ErbyuHEX1pB9pQ7aB5ax9/DES796np+cfiv+PN7fwLguarnOGPEGXTI7/C9VzGzUmYxs1LmMbdS+nMO1q0watQoxo8fz2uvvcakSZMYNGjQJs8/9thjzJ49G4AzzjgjFSXWWtDncgn6+KQgMrfSNjDiDyTnjidU9in9suZydPQBVpb9hkO6HcIrX7xC+bpyfvvOb7ltxG1khbI2eykzK2UWMytlHnMrpa+6ZHPz76oz2PLlyykrK6v5L5FIANW39268f9WqVZucN2rUKPr160cymeT4449n3LhxACQSCR577DHOPfdcAEaOHMmwYcO27aAkSZK2JDef0HG3kciqfkP4s+xnmPjqf/lZvytq7lqdtHgS93x0TwqLlCRJkoIjsA3W/v370759+5r/5s+fD8D111+/yf4LLrhgk/NycnJ45pln6NGjBwsXLuSQQw6hRYsWtGjRgpNOOoloNEr//v158MEHUzEsSZKkLeu8J1k/qF7MKiuU5NrQP7nzpVKu3f9aQoQAuPn9m/mo7KNUVilJkiQFglMEfIcePXowbdo0brjhBp588knmzJlDOBymT58+nHrqqVx44YXk5uamuswtisVigVyR0NUWpcxjbqUUGHA+yZkvkLtwEtuHyhjwyXVUDbyLM3c7k7s/vpuqZBW/evNXjD1sLPnhTRfFNLNSZjGzUuYxt1L6q0s+Q8lkMlnXF8jKyiIUCnHooYfy/PPPN9ixUP3R+5deeolQKEQ8Hq9raU1aJBIhEokQj8cpLS1l7Nix5Ofnb/lESZIUSM0rv+aAmb+meXINAL8OXcQeu+/JnatvZ2F8IQB75+7NsfnHprJMSZIkKe1UVFRQXFxMeXn5FheR9w7WABk9ejSjR48mGo1SWFjIiBEjtvgNkIlcbVHKPOZWSp3kjs3hvz8D4JeJO3m51RNEDoxw6ounsqZqDe+te4+TB57MId0OqTnHzEqZxcxKmcfcSukvGo3W+lgbrAEW9NUIgz4+KYjMrZQCexWzbPrztJ37LK1Dq+k64TLa7PsKVw68kt+89RsA/jD5D/Tv2J+OLTpucqqZlTKLmZUyj7mV0lddshnYRa4kSZIEhEK0PfmfLM9pD8BgpvPWg3/imF7HMKL7CABWrlvJleOvJJ5weiZJkiSprmywSpIkBV3zNnDMv2oeDl/0Lz6bPpnfDP5NzV2rU76awl0z7kpVhZIkSVLGcoqAAIvFYoFckdDVFqXMY26l1Gu581A+2P509lzwAHmhGLn/+QnNLh3PHwb/gfPGnUcimeCWD25hn/b7sHPhzoCZlTKFv2elzGNupfRXl3yGkslksq4vkJWVRSgUonPnzgwfPnyzx95zzz21Phbg5ZdfZtGiRYRCIeJxP6ZWF5FIhEgkQjwep7S0lLFjx5Kfn5/qsiRJUppIVMXoO30MvZkPwPiWI1nW+1RK1pTwRuUbALTNasvoVqPJC+WlslRJkiQppSoqKiguLqa8vHyLi8hvVYO1sSSTSRusWyEajVJYWEhZWdkWvwEykastSpnH3ErpY+qUt9jjxePJC1X/i3z0hEfJ6X0A55Scw4ylMwA4ovsRDC4fbGalDOHvWSnzmFsp/UWjUYqKimrVYN2qKQLq0ZvVNhT01QiDPj4piMytlHoDBx/Eo1PO5aSlt1Tv+M9o8i99l78c+BdO+O8JVFRV8Ny852iR34LDw4ebWSmD+HtWyjzmVkpfdclmvRqsBx54YKPewSpJkqTGM7j4aibeNJ4hWdMpiH3NyscvpOvp9/PrfX/NVROuAuCZimcYtXoU3Vp3S3G1kiRJUnqrV4P19ddfb+AyJEmStK10bdeSlwZdR5/JJ9I6tJpWs/5Lctoj/HD3kxm/cDwvzHmBtazl39P+zTUHXpPqciVJkqS0lpXqAiRJkrTtnT5iX27MO7/mcdV/f0GofD6/3vfXFORWzzH1/NznWbByQapKlCRJkjLCVs3BqvQWi8WIxWKpLqPBrR9TEMcmBZW5ldJPNjD4iLN54vFJHJ89nnDVKqoe/wnNf/Q0J/c6mds/vp14Ms7t027n1wN/nepyJW2Gv2elzGNupfRXl3yGkq5UFRiRSIRIJEI8Hqe0tJSxY8eSn5+f6rIkSVKaSibhvo/XctPaq+ma9TUAH3U+ienth3FD9AYqqSSbbH5e8HNaZ7VObbGSJEnSNlRRUUFxcTHl5eUUFBRs9tiUNFgrKiqYMmUKX375Jc2bN6d79+7sscce27qMwIpGoxQWFlJWVrbFb4BMFIvFKCkpYfjw4a62KGUIcyulr9lfr2bMLXfxQPbvyQ4lSWaFWXv6s/xy8v28WfkmAKfsdAq/2udXKa5U0vfx96yUecytlP6i0ShFRUW1arA2yBQBy5cvZ8qUKSxdupSWLVvSt29fevTo8a3jVqxYwRVXXMH999/P2rVrN3muU6dOXHXVVZx//vmEQqGGKKvJC4fDgf5BHfTxSUFkbqX0s3Pn1uy+30j+9dYHXJDzH0KJGM2eu4ADOo9mctVk1sbX8tSspzhvz/Moal6U6nIlbYa/Z6XMY26l9FWXbG7VIleLFi3ipJNOYrvttuOwww7jtNNO4+ijj2bHHXdk//3358MPP6w59osvvmCfffbh9ttvZ82aNSSTyU3+W7RoERdeeCGnnHIK8Xh8a8qSJElSHVw4rDdjm53KtMQOAISWfsbAL5/lxN4nAlAZr+SeGfeksEJJkiQpfdW7wTp37lwGDx7ME088QVVVFetnGljfMH3rrbc44IADmD59OslkkhNPPJHZs2d/7/VCoRDJZJLHH3+ca665pr5lSZIkqY5a5uXwqyN25+exn7EmmQtAz7JX+FGLXuRmVT9+tPRRlq9dnsoyJUmSpLRU7wbrWWedxfz58zfZ97/Tua5atYqf//znPPXUU7z77ruEQiFatmzJRRddxKOPPsrLL7/MI488wujRo8nPz69psl5zzTWUlZXVtzRJkiTV0dF7dqZt9778qeq0mn3bTbyJ43sfD8CaqjXc//H9qSpPkiRJSlv1arC+8cYbvPHGGzUN0aFDh/L000/zySefMG3aNP7973+zww7VHzF77bXXuPnmmwHYfvvt+fDDD/n73//OCSecwCGHHMKJJ57IzTffzNSpU+ncuTMA69atY+zYsQ00REmSJG1JKBRizFF9eCgxjI8T3QHI+vIDzs7vSU5W9bT9Yz8ZS3lleSrLlCRJktJOvRqsjzzySM32Mcccw7hx4zjqqKPYaaed6Nu3Lz/5yU+YNGkSXbt2BeDNN98kFArx17/+9TsXvwLo1asXN954Y83j119/vT6lSZIkqZ76dC6keNAO/L3quJp9Hd/+F0fveDQAq2OrGfuJ/wguSZIkbSynPie9++67NdvXX389oVDoW8cUFRVx+eWXc8EFFwDQokULjjnmmM1e97jjjiM/P581a9Ywbdq0+pSmjcRiMWKxWKrLaHDrxxTEsUlBZW6lzHHRwT0Z/sFgZiSeom/WXPjyA84ccBZPh7KJJ+M88PEDnNL7FFqGW6a6VEnf8PeslHnMrZT+6pLPUPJ/J06thQ4dOlBWVsYOO+zArFmzvve4zz//nJ122olQKMRee+21SWP2+wwcOJApU6ZQUFDAihUr6lpakxaJRIhEIsTjcUpLSxk7diz5+fmpLkuSJGWYt78K8fXcD7gzt/rTRSuadeOibv2ZGpsKwPBmwzmo2UGpLFGSJElqVBUVFRQXF1NeXk5BQcFmj63XHazl5eWEQqGaKQC+z8bPt23btlbXbt26NVC9QJbqZvTo0YwePZpoNEphYSEjRozY4jdAJorFYpSUlDB8+HDC4XCqy5FUC+ZWyizD1q3jiL+G+DDWkz2yZtN67Rf8tvfFHPvxByRJ8m7yXcaMGEPznOapLlUS/p6VMpG5ldJfNBqt9bH1arDGYjFCodAW747My8ur2c7Ozq7VtdcfV48ba/U/wuFwoH9QB318UhCZWylznNAzwU0fH89dWdcD0G3SnRzW71BemPsiKypX8PTspzmjzxkprlLSxvw9K2Uecyulr7pks16LXEmSJCnYurWEDv1/yAeJHQEIl33MuS161zx/z0f3UBmvTFV5kiRJUtqwwSpJkqTvdOnw3tyefXLN4y4TbueQbsMA+HrN1zz12VOpKk2SJElKGzZYJUmS9J3a5Ocy5NBTeD/RC4D8FaWc3XzHmufvnHEnsbirH0uSJKlps8EqSZKk73XywG78p/Womsfbj7+LA7scAMDi1Yt5ZtYzqSpNkiRJSgv1WuRqvcmTJ/ODH/ygQY+dNm3a1pQkSZKkBpSdFeK4E37ElDvuZ5+sUtqsnk1x+DTeZDwAd0y/g6N7HU1O1la9rZQkSZIy1la9E16+fDlvvPHGZo8JhUK1PlaSJEnpZ49ubbhjx/PZZ87PAeg18V723XsQ7yyexIJVC3hhzgscueORKa5SkiRJSo16N1iTyWRD1qFGEIvFiMWCNy/a+jEFcWxSUJlbKbN8V2aPPOok3r/pVvbiE7Zb9wWHrzuBd5gEwG3TbmP49sPJzspOSb1SU+fvWSnzmFsp/dUln6FkPTqlZ511Vl1PqZe77757m7xOUEQiESKRCPF4nNLSUsaOHUt+fn6qy5IkSQGx+IuZnLf0WgDm0YnRvXoxLz4PgJPzT6Zfbr9UlidJkiQ1mIqKCoqLiykvL6egoGCzx9arwar0Fo1GKSwspKysbIvfAJkoFotRUlLC8OHDCYfDqS5HUi2YWymzfF9m44kkn11/MP2qZgDwr51+wi2xFwHo1boXD498mKyQa6hK25q/Z6XMY26l9BeNRikqKqpVg9XVCAIsHA4H+gd10McnBZG5lTLL/2Y2DDQb/mt44RQARn76DK/t3Z+Zyz/i8xWfM2HxBIZ1G5aiaiX5e1bKPOZWSl91yaa3GEiSJKnWeg8ayect9gKgR2gxfb9qX/PcbdNuc55+SZIkNTk2WCVJklQn7Y8cU7P9o/kv0a1FLwA+XvoxExZOSFFVkiRJUmrYYJUkSVKdFO5yEF+2GwTADllfseOCtjXP3TrtVu9ilSRJUpNig1WSJEl11uHI39VsX7rsDdqFuwLw4dcfMnnx5FSVJUmSJG1zNlglSZJUZ9k9BhPtcgAAPbK+puf/3MUqSZIkNRU2WCVJklQvBYf9tmb7t6vfpkWoIwDvLn6X9796P1VlSZIkSduUDVZJkiTVT9cBrOvxAwC6h8ro9WW7mqdum3ZbqqqSJEmStikbrJIkSaq33EN+XbP9x4p3yYlXTxUwcdFEpn89PVVlSZIkSduMDVZJkiTV3/Z7k+x9KAA9QmXsVtah5invYpUkSVJTkJPqAtR4YrEYsVgs1WU0uPVjCuLYpKAyt1JmqWtmQ/v/kpzPXgLgT6uncGRVF8gp5/UFrzNjyQx2brNzo9Uqyd+zUiYyt1L6q0s+Q8lkMtmItWgbikQiRCIR4vE4paWljB07lvz8/FSXJUmSmoCBs/5Gp+hUAIpbDGN6h88A6BPuw6ktTk1laZIkSVKdVVRUUFxcTHl5OQUFBZs91gZrAEWjUQoLCykrK9viN0AmisVilJSUMHz4cMLhcKrLkVQL5lbKLPXK7JcfEr5rGADzaMMRXTsRyllFiBCPHfEYPQt7NmLFUtPm71kp85hbKf1Fo1GKiopq1WB1ioAAC4fDgf5BHfTxSUFkbqXMUqfMdtsHdj4CPn2O7ixn9+V7Mr39KpIkuXvm3fz5gD83brGS/D0rZSBzK6WvumTTRa4kSZLUMIZeUbN5zaqpJKuqpyp6Yc4LzIvOS1VVkiRJUqOywSpJkqSG0Wl32PVIAHqwgn4rOgCQSCa4Y/odqaxMkiRJajQ2WCVJktRwDtpwF+u1Kz8kGW8GwLOznmXhqoWpqkqSJElqNDZYJUmS1HA69oXdjgagB+X0+eYu1qpkFXdNvyuVlUmSJEmNwgarJEmSGtZBVwAhAK5ZOZ1kPBeApz5/iq9Wf5XCwiRJkqSGZ4NVkiRJDWu73aDPMQDsmCxnt/Lqu1hjiRj3fHRP6uqSJEmSGoENVkmSJDW8je5i/VP0I5KJHAAe/fQxytaUpbAwSZIkqWHZYJUkSVLD67AL9D0egN7JcnYtbw/AukQl9310XyorkyRJkhqUDVZJkiQ1joMuh1D1281rojNJJrIBGPvJw6xYuyKFhUmSJEkNxwarJEmSGkf7naDvCQD0TkTZOVoEQGV8Dfd9fH8qK5MkSZIajA1WSZIkNZ6N7mK9duWnJJPV2/d99ADRddFUViZJkiQ1CBuskiRJajxFvaDfSQDsVBWl9/q7WBMV3Pmhd7FKkiQp89lglSRJUuM66FcQqp5/9bpVpZAMAXD/xw+wOrY6lZVJkiRJW80GqyRJkhpXux1hj1MA2GldlN6r2gEQYxV/n3RPCguTJEmStp4NVkmSJDW+A39Zcxfrtas+h2T17kc/e5BV6ypSWJgkSZK0dXJSXYAaTywWIxaLpbqMBrd+TEEcmxRU5lbKLI2S2VZdyd79FLI+fJCd10bZec2OfJq/lETWSq4uuZ0bRvys4V5LamL8PStlHnMrpb+65DOUTCaTjViLtqFIJEIkEiEej1NaWsrYsWPJz89PdVmSJEkA5Fd+zbCPf0UWcT7KbckpXdoCkKwq4FcFP6cwN5ziCiVJkqRqFRUVFBcXU15eTkFBwWaPtcEaQNFolMLCQsrKyrb4DZCJYrEYJSUlDB8+nHDYP8SkTGBupczSmJnNfu4Ssj54AIBTtu/PR+GlAPTNO5P7jr+oQV9Lair8PStlHnMrpb9oNEpRUVGtGqxOERBg4XA40D+ogz4+KYjMrZRZGiWzB/0Kpj0CiRi/Xj6bUzsUAjBt1dNM/3IUe3UratjXk5oQf89KmcfcSumrLtl0kStJkiRtO226Q//TAei7upzdk+0AyAqv4Bcv3EUi4YerJEmSlFlssEqSJGnbOuAXkFV9R8BlZXNqdi/Jep6H352boqIkSZKk+rHBKkmSpG2rdVfY6wwA9ly1gj2yvrmLNXcp1014mBUV61JZnSRJklQnNlglSZK07R3wC8jOBeDir2bX7I61eoW/vDgzVVVJkiRJdWaDVZIkSdteYRfY+0wA9llVzh45bQHIzlvCo588z/QF5SksTpIkSao9G6ySJElKjf0vhew8QsD5X26YizW33av8+j/TXfBKkiRJGcEGqyRJklKjoBPscxYA+60qp09OawCymy1mxvK3efy9BSksTpIkSaodG6ySJElKnf1/DjnNCAE//XJeze68ole59sWZLnglSZKktGeDVZIkSanTqiPsczYAB60qZ+ecAgCymy8gykfc+HJpKquTJEmStsgGqyRJklJryCWQ05wQ8JPF82t25xaN48FJc5mx0AWvJEmSlL5ssEqSJCm1Wm0HA84B4JCV5eyY3RKAnPx5hJrP5jf/meGCV5IkSUpbNlglSZKUekMugXA+WcC5Xy2s2Z1b9Crvf7GCx993wStJkiSlJxuskiRJSr2W7WHAjwE4dGU53bLzAchpMYus5vO47oVPKK+IpbJCSZIk6TvZYJUkSVJ6GHIxhFuQA/x4yZc1u/OKxrF09Tr+WvJp6mqTJEmSvocNVkmSJKWHFkUw8FwAfhgtp3NWMwByWpaS1WwB978zj48WueCVJEmS0osNVkmSJKWP/S6C3JaEgXO+/qpmd27RqySS8Jv/fOSCV5IkSUorNlglSZKUPlq0g0HnAXBMtJwOoTwAwq0+JivvS96bt5wnpy7c3BUkSZKkbcoGa5qYO3cuoVDoO/8788wzU12eJEnStjP4AshtRS5w9tIlNbtzi14D4M8vzKR8jQteSZIkKT3kpLoAberYY4/luOOO22TfjjvumKJqJEmSUiC/Lez7U3jzeo6LRrmtXRHLkjHCBdNZ9/USylZ14G8lpYw5qk+qK5UkSZJssKab3XffndNPPz3VZUiSJKXW4NEw6VaaV0Y5c1kZf21TCCRp3v51Vi88ifvenstJ+3Rlt84Fqa5UkiRJTZxTBKShNWvWsGbNmlSXIUmSlDrN28C+5wNwcnmUwlD1fQHZBR8QCi8lkYTfPjODZNIFryRJkpRaNljTzI033kh+fj75+fn06tWLm2++2T8cJElS07TvzyCvkPxkkh8tWwZAkgTtukwA4N25y3nKBa8kSZKUYoFssFZUVPDCCy/wxz/+keOOO47u3bvXLBg1ZsyYWl1j5cqVjBkzhn79+tGyZUsKCwsZMGAAN954I+vWrWvwmrOyshg2bBjXXnstzzzzDLfeeitt2rThoosu4uc//3mDv54kSVLaa966eqoAoLi8nFZkAxDLn0woZzkA1zz/CdG1LnglSZKk1AnkHKyTJ0/m8MMPr/f58+bNY+jQocydOxeA/Px8KisrmTJlClOmTOHBBx9k3LhxtGnT5lvnJpNJKisra/U6WVlZ5ObmAtCtWzdeeeWVTZ4/55xzGDZsGP/4xz8477zz2HXXXes9JkmSpIy070/hnQit1pZTvGI5t7YuIJGM06v3u3w2cwRlqyr5W0kpvz3SBa8kSZKUGoG8gxWgTZs2DBs2jMsuu4yHHnqIjh071uq8qqoqjjzySObOnUunTp0oKSlh9erVVFRU8PDDD9OqVSumTp36vQtRzZs3j+bNm9fqv7322muztWRnZ3P55ZeTTCYpKSmp8/8DSZKkjNesEAZfCMDp5VHyv3n7ujRrAs2arQTgvrfn8cniaMpKlCRJUtMWyDtYDzjgAJZ9M0/XeldccUWtzr333nuZPn06AE888QSDBw8Gqu82Pfnkk0kkEhQXF/P8888zbtw4hg0btsn5RUVF3H333bV6re+6A/Z/de/eHYCysrJaXVOSJClwBp0H70RovWY5J5eXc3dhK2KJdezV70Peend/4okkv3n6Ix45b19CoVCqq5UkSVITE8gGa3Z2dr3PvffeewE4+OCDa5qrGzvllFO4+uqrmTNnDvfdd9+3GqwtW7bkzDPPrPfr/6/PP/8cgO22267BrilJkpRRmhXA4Avg1T8wakU5DxUWspYEpWteoVvRYL4oy2by3GU8/cFCju2/faqrlSRJUhMT2CkC6qOiooKJEycCMHLkyO88JhQKcdhhhwHw8ssvN9hrL1my5Fv71q5dyx/+8Aeys7M59NBDG+y1JEmSMs6g86B5W9olEpwQLQegMr6WvfeYXnPINc9/wkoXvJIkSdI2Fsg7WOtr5syZJBIJAPr27fu9x61/bvHixSxbtoy2bdtu9Wufd955LF26lIMPPpjtt9+exYsXc9999/H555/z29/+ll69en3vuZWVlZssrBWNVs9BFovFiMWC90fG+jEFcWxSUJlbKbOkZWazmpG17wVkv/Z7zlwR5ZGCAmIkeWvJMwzddT9en1nB1ysr+evLn3LVyJ1TXa20TaVlZiVtlrmV0l9d8mmDdSOLFi2q2e7Spcv3Hrfxc4sWLWqQBusPf/hD7rvvPv7973+zbNkyWrRowV577cWf//xnjj/++M2ee+211/K73/3uW/tffvll8vPzt7q2dOXCX1LmMbdSZkm3zGbHt2d4Tiu2q1rJsdGVPFrQkoqqCnKynyIcGkEsGeLet+bSYdUsOrdIdbXStpdumZW0ZeZWSl8VFRW1PtYG60ZWrlxZs725xuTGz218ztY455xzOOecc+p17pVXXsmll15a8zgajdK1a1dGjBhBQUFBg9SXTmKxGCUlJQwfPpxwOJzqciTVgrmVMks6ZzaraCG8+jvOKS/nyYKWVAEfZb3Ljw8axb9eX0yCEK9G2/PgCfu44JWajHTOrKTvZm6l9Lf+E+K1YYM1APLy8sjLy/vW/nA4HOgf1EEfnxRE5lbKLGmZ2X3Pg0m30Hn11xy5chVPtWrJqtgqWm33Lt3b7cy8pRW8O3c5L3z8NUfv+f2fSJKCKC0zK2mzzK2UvuqSTRe52kirVq1qtjd3G/DGz218jiRJkhpZbgsYcgkAP14RrXkz+9CnD3Ll4T1rDvvTczNd8EqSJEnbhHewbqRz58412wsXLmT33Xf/zuMWLlz4neekGxe5kpQuzK2UWdI+s3v+iJyJN9Ft9RJGrlrNcy1bsKJyBQvjrzBsl36M++Rrlqys5G8vf8qVLnilJiDtMyvpW8ytlP5c5Kqedt11V7KyskgkEsyYMYORI0d+53EzZswAoGPHjg2ywFVDiUQiRCIR4vE44CJXktKPuZUySzpntmfrQ+i3eiw/WVHO8y1akAzBHR/cwVnNfsGboWbEkiHueWsuHVbPolNw3w5Jm0jnzEr6buZWSl8uclVP+fn5DBkyhPHjx/Piiy9y2WWXfeuYZDLJSy+9BMCIESO2dYmbNXr0aEaPHk00GqWwsNBFriSlDXMrZZaMyGzsYJK3jKPnqq8Yvno1L7dswarkKpr3XcP5bfvyj1dnkSDEa9H23H+8C14p2DIis5I2YW6l9OciV1th1KhRjB8/ntdee41JkyYxaNCgTZ5/7LHHmD17NgBnnHFGKkqstaBPlh308UlBZG6lzJLWmQ2HYf9L4cXL+Ul5lJdbtgDgnpn38NSRJ/D0B1/yxbIKJs1Zzoszyzhqj/Sd1klqKGmdWUnfydxK6ctFroDly5dTVlZW818ikQCqb+/deP+qVas2OW/UqFH069ePZDLJ8ccfz7hx4wBIJBI89thjnHvuuQCMHDmSYcOGbdtBSZIkaYO9z4RWndh5XYyhq6s/wrWkYgkvzvsvvz1yt5rD/vTcx6yqrEpRkZIkSQq6wDZY+/fvT/v27Wv+mz9/PgDXX3/9JvsvuOCCTc7LycnhmWeeoUePHixcuJBDDjmEFi1a0KJFC0466SSi0Sj9+/fnwQcfTMWwJEmStF64GRzwCwDOW7HhI1x3zbiLA3duy7BdOgDwVbSSf4z7LCUlSpIkKficIuA79OjRg2nTpnHDDTfw5JNPMmfOHMLhMH369OHUU0/lwgsvJDc3N9VlblEsFgvkioSutihlHnMrZZaMymy/U8kZ/1f6rlzEkIo1TMxvzsJVC3nms2e4auQhjP+8jHVVCe6aMIdj9uhI7w4tU12x1OAyKrOSAHMrZYK65DOUTCaTjViLtqFIJEIkEiEej1NaWsrYsWPJz3fZXEmSFGw9vh7HHgvuZWpeLmd07ghAu6x2XNzqYl5akMOLC6o/tNW7IMHo3RK43pUkSZK2pKKiguLiYsrLy7e4iLwN1gCKRqMUFhZSVla2xW+ATORqi1LmMbdSZsm4zFZVkvOvgYSiCzmnYwcmN28GwDX7XcPQLsMZefNbLFi+BoC/n7Q7R/TrmMpqpQaXcZmVZG6lDBCNRikqKqpVg9UpAgIs6KsRBn18UhCZWymzZExmw2E48Jfw7M/5yYrymgbrXR/fxRG9jmDMkX348X1TAPjzi6UM79OJFnm+DVbwZExmJdUwt1L6qks2A7vIlSRJkpqQPU+Hwm4MXFvJnmsrAfh8xeeM+2Ich+y2HT/4ZsGrxdG1/ONVF7ySJElSw7HBKkmSpMyXkwsH/pIQcN6K8prdt027jWQyyW+P3I3cnOq3vneOn8PnS1amqFBJkiQFjZ+NCrBYLBbIFQldbVHKPOZWyiwZm9k+J5Iz/kaGrJhHn8pKPsrL45Nln/DqvFc5sMuBnLt/DyKvz6YqkeQ3T8/gnjP3JuSKVwqAjM2s1ISZWyn91SWfLnIVIJFIhEgkQjwep7S0lLFjx5Kfn5/qsiRJkraZbkvfoP8Xd/JqfnMu3q49ANtnb895Lc8jlghx7YfZLKusbqqeuVOc/u18KyxJkqRvq6iooLi4uFaLXNlgDaBoNEphYSFlZWVb/AbIRK62KGUecytllozObDxGzr8Hk1wxlxM7d6Q0LxeAyMERBncazCszl3D+2A8A6FiQx4sXDXHBK2W8jM6s1ESZWyn9RaNRioqKatVg9d1kgAV9NcKgj08KInMrZZaMzGw4DAf9itB/fsa55VEu61AEwJ0f3cmB3Q7ksH6dGbrzQl7/9GsWRyv59/h5XDFylxQXLTWMjMys1MSZWyl91SWbLnIlSZKkYNn9ZGjbk+GrK9hhXfXcWe8veZ93F79LKBRizJF9yM3+ZsGrCbOZ9fWqVFYrSZKkDGeDVZIkScGSnQMHXU42cO6K8prdt067FYAeRS0476CeAMTiScY88xHOmiVJkqT6ssEqSZKk4Ol7ArTrxcjVFXT9ZgXYSV9O4oMlHwDws6G96NK6OQDjPyvjxRmLU1WpJEmSMpxzsAZYLBYj9s0fFEGyfkxBHJsUVOZWyixByWxo/1+Q85/z+fGKKL9t3w6AWz+8lX8M/Qc5Ibhq5E6MfuhDAK578RN+sFM7srJCqSxZqpegZFZqSsytlP7qks9Q0s9DBUYkEiESiRCPxyktLWXs2LHk5+enuixJkqTUSCb4wcwraVb5JUd07cyXOdX3Fpzf8ny65HQhmYR/fpzF59HqD3Wdu3Ocvm19ayxJkiSoqKiguLiY8vJyCgoKNnusDdYAikajFBYWUlZWtsVvgEwUi8UoKSlh+PDhrrYoZQhzK2WWIGU29NET5Dx9Hg+3asmfitoCcPD2B3PjgTcC8NqnX/OTB6YCMGiHNjxw9oCU1SrVV5AyKzUV5lZKf9FolKKiolo1WJ0iIMDC4XCgf1AHfXxSEJlbKbMEIrO7nwgT/8axZZ9wW+sCvs7J4bUFrzFn1Rx2arMTh+zWiZ7tS5n99WomzVlO6dcV9OlcmOqqpXoJRGalJsbcSumrLtl0kStJkiQFV1Y2HHQ5eUk4q3xlze7bp91e/XRWiLOG7FCz/84Jc7Z5iZIkScpsNlglSZIUbLsdAx1244SVq2gbjwPw0tyXmFNe3Uw9fq8utM6vvkPhvx8uYkl0baoqlSRJUgaywSpJkqRgy8qCgy6neTLJGeVRAJIkuWP6HQDk5+ZQPLAbALF4kvvenpeyUiVJkpR5bLBKkiQp+HY9CrbryynRVRR8cxfrc7OfY/7K+QCcMbgHOVkhAB6YNI816+IpK1WSJEmZxUWuAiwWixGLxVJdRoNbP6Ygjk0KKnMrZZagZja0/2W0eGIUp0dXckub1sSTcW7/8Hb+b9D/0S4/myP6deQ/H37JiooYj02Zx6kDuqa6ZKlWgppZKcjMrZT+6pLPUDKZTDZiLdqGIpEIkUiEeDxOaWkpY8eOJT8/P9VlSZIkpYdkkoM+/T+yKudzaNcurMrKIptsfl7wc1pntWb+KrhhevX9B9s1T3LFHnG+ualVkiRJTUxFRQXFxcWUl5dTUFCw2WNtsAZQNBqlsLCQsrKyLX4DZKJYLEZJSQnDhw8nHA6nuhxJtWBupcwS5MyGPn2enMfP4B9tCrm9dSEAJ/U+iSsGXAHAaXe+y+S5ywG4/Uf9GbpT+5TVKtVWkDMrBZW5ldJfNBqlqKioVg1WpwgIsHA4HOgf1EEfnxRE5lbKLIHMbJ+jYOIe/Oir6TxQ0Io1WVk8PetpfrrnT2mf354fH9CTyXPfA+Det+czvE/nFBcs1V4gMysFnLmV0lddsukiV5IkSWo6QiEYeiVtEglOjq4CYF1iHXfNuAuAYbtuR/d21VMsTfi8jE8WR1NWqiRJkjKDDVZJkiQ1LTsdBp37MyoaJS+RAOChTx5i+tfTyc4KcfaQHWoOvXP8nFRVKUmSpAxhg1WSJElNSygEQ6+iKJ7gx+XVd6jGk3GumnAVa6vWcsLe21PQrHomrf98sIivV1amslpJkiSlORuskiRJanp6D4cu+3DOiih9KqsbqHOjc7np/ZtokZfDqQO7AbAunuD+d+alslJJkiSlORuskiRJanq+mYs1DFzz9VJyk9W7H5j5AO8ufpdR+/UgOysEwIPvzGNtLJ66WiVJkpTWbLBKkiSpaeo1DLrsQ89YFRctW16z+/8m/h+FLRIc3q8TAEtXr+M/HyxMVZWSJElKczZYJUmS1DSFQrD/JQD8KLqSvZN5ACxctZDr372ec/bfaLGrCXNIJpOpqFKSJElpLifVBajxxGIxYrFYqstocOvHFMSxSUFlbqXM0qQyu+MIctruSNayWfxhwWyO796TNYlKnvjsCQ7qfBB7d2vNe1+soPSrVbz2yWIO6FWU6oqlb2lSmZUCwtxK6a8u+Qwl/af4wIhEIkQiEeLxOKWlpYwdO5b8/PxUlyVJkpTWupW9Tv/5dwFwR4c+3NRiJQCtQq04uOoiHixtBcCurRP8dNdEyuqUJEnStlNRUUFxcTHl5eUUFBRs9lgbrAEUjUYpLCykrKxsi98AmSgWi1FSUsLw4cMJh8OpLkdSLZhbKbM0ucxWrSXnn3sRWr2EBCHOH3Akb5V9AMCh3Q7lncmHs2D5GgCev3A/endomcJipW9rcpmVAsDcSukvGo1SVFRUqwarUwQEWDgcDvQP6qCPTwoicytlliaT2XAYBv8MXhlDFkl+X9WCY3NbsXLdSl764iUO32MPHnm9LQD3T5rPtcftnuKCpe/WZDIrBYi5ldJXXbLpIleSJEnS3mdBbvVUANtNe5Krdr+g5qmJy2+jZX71HaxPvL+QpasqU1KiJEmS0pMNVkmSJKl5a9jnrOrteCVHLCrlkG6HAFC+bgVdej0HJFlXleDBSV+krExJkiSlHxuskiRJEsC+50NW9UfBQlPu4v/2+jltm1VPDbAoNoXcwvcBuO/teVRWxVNWpiRJktKLDVZJkiQJoKAz7HFy9XZlOW0/+g+/GfybmqfzOz9LKGcFZasqeeaDRSkqUpIkSenGBqskSZK03n4Xbdh++xaGdT6Ao3Y8CoA4a2jW6XEgwZ0T5pBMJlNToyRJktKKDVZJkiRpvfY7w85HVG+vXATTH+PygZezXf52AOS0/Jxwm0l8snglb89amsJCJUmSlC5ssEqSJEkbG3Lxhu23/kFBTkt+v9/va3bldXieULiMOybMSUFxkiRJSjc2WCVJkqSNdRsE3QZXb3/9CXz2Evt12Y+Td66enzWUFaN558d49ZPFzPp6VQoLlSRJUjqwwSpJkiT9r43vYp14EwCX7n0pXVt1BSA7fx65bcdzl3exSpIkNXk5qS5AjScWixGLxVJdRoNbP6Ygjk0KKnMrZRYzC+zwA3KKdiZU9il88TZVcyYS3n4gYwaN4cev/JgkSXLbv8wTM3bh4h/0pE1+bqorVhNmZqXMY26l9FeXfIaSLn8aGJFIhEgkQjwep7S0lLFjx5Kfn5/qsiRJkjJS16Xj2euL2wH4snAvJve8BIAX17zIhMoJAMTXdmZo/DwO7ZKdqjIlSZLUCCoqKiguLqa8vJyCgoLNHmuDNYCi0SiFhYWUlZVt8RsgE8ViMUpKShg+fDjhcDjV5UiqBXMrZRYz+434OnIiexNa+SUAsfPegqKdqIxXcvJzxXyxqnp6gJzoCCb8+Bpyc5x9S6lhZqXMY26l9BeNRikqKqpVg9UpAgIsHA4H+gd10McnBZG5lTJLk89sOAyDR8PLv65+OPkWODpCOBzmL0Ov5dRnTyNJnFirV7j7/cO5YMiwFBespq7JZ1bKQOZWSl91yab/zC5JkiR9n73PhLzC6u0PH4HoIgD6tOvDkd3PACAUSnDXp39mTWxNioqUJElSKtlglSRJkr5PXisYcE71diIG7/yr5qnfHnABufFuAMSyF3P1GzekokJJkiSlmA1WSZIkaXMG/RSy86q3p9wNa8sByM3O5bzdriKZqJ51q2ThY0xZPCVVVUqSJClFbLBKkiRJm9NqO9jz1OrtdSthyl01T501YDB5Kw//5lGSK968mtWx1du+RkmSJKWMDVZJkiRpSwZfCISqt9/5F1RVAhDOzuLsfqOoqugBwFdrFnHjlBtTU6MkSZJSwgarJEmStCVFvWDXI6u3V30FHz5c89Tpg3aAJSeTTOQC8FjpY0xYOCEVVUqSJCkFbLBKkiRJtTHkkg3bb/0DEgkACvPDnLjnnlR+dXjN07+d+FvKK8u3cYGSJElKBRuskiRJUm1svzf0OKB6e+nn8OlzNU+dNWQHqsoHUbWqNwBL1izh2snXpqJKSZIkbWM2WCVJkqTaGnLxhu0Jf4dkEoAdilowbJftWPvlCSTjzQB4bvZzlMwrSUGRkiRJ2pZssEqSJEm11esQ6NCnenvhFJj3Vs1T5+zfk2RVIWsXH1Wz7w9v/4GyNWXbukpJkiRtQzZYJUmSpNoKhTa9i3XiTTWb+/Zsy26dCqiK9icWrW7CLq9czh/e/gPJb+50lSRJUvDYYJUkSZLqou9xUNi1evuzl+CrjwEIhUKcs/8OQIjKxccSphUAr85/lf/O/m+KipUkSVJjs8EqSZIk1UV2GAaP3vD4rX/UbB65R2c6tMojGW/JygVH1+z/86Q/s3j14m1ZpSRJkrYRG6ySJElSXe11BjRvU709/TFYMR+A3JwszhjcHYDYyr50yz0AgJWxlfxm4m+cKkCSJCmAbLBKkiRJdZXbAgacW72dqIJ3/lXzVPGg7jQLV7/NnvvpIbRv3gGAt798m0c/fXSblypJkqTGlZPqAtR4YrEYsVgs1WU0uPVjCuLYpKAyt1JmMbO1tNfZ5Lz1D0JVa0m+dw9V+10CzdvQKjfEMXt25uF3F7B6bR77tjqP/675AwA3TLmBAR0G0LVV19TWrkAxs1LmMbdS+qtLPkNJP6cUGJFIhEgkQjwep7S0lLFjx5Kfn5/qsiRJkgJr9/n3skPZOABmdjqB0o5HAfDVGrjmg+p7GdrkJtlz16eYsm4yAN2yu/Hjlj8mK+SHySRJktJVRUUFxcXFlJeXU1BQsNljbbAGUDQapbCwkLKysi1+A2SiWCxGSUkJw4cPJxwOp7ocSbVgbqXMYmbrYPlccv41kFAyQTK/iKoLpkK4OQA/vv993igtA+D6E3pz59yLWLh6IQCX9L+EM3Y9I2VlK1jMrJR5zK2U/qLRKEVFRbVqsDpFQICFw+FA/6AO+vikIDK3UmYxs7XQoTfsdgx89CShijLCHz0GA84B4NwDdqxpsD40+Wv+dPyfOOvFs0iSJPJhhIO6HkSvNr1SWLyCxsxKmcfcSumrLtn0c0mSJEnS1hhy8Ybtt26GRLx6d6927NKxFQDvf7GCUGVPztit+q7VWCLGVROuIpZw7j1JkqRMZ4NVkiRJ2hqd94SeQ6u3l8+Bmc8AEAqFOHv/HWoOu3PCHC7c60J6FvYEYOaymdw+7fZtXKwkSZIamg1WSZIkaWttfBfrhL/DN8scHLVHZ4pa5gLw4ozFfB2Nc83+15Adygbgtmm38dHSj7Z1tZIkSWpANlglSZKkrdXzYOi4e/X2lx/AnDcBaBbO5vR9uwMQTyS596259Cnqw7m7n1u9Lxnn6vFXUxmvTEXVkiRJagA2WCVJkqStFQptehfrxJtqNk/ftzu5OdVvux+ePJ9VlVX8ZPefsGvbXQGYVT6Lf0795zYtV5IkSQ3HBqskSZLUEHY7BlpX363KrHHw5TQAilrmceyeXQBYWVnFo+/OJ5wV5k/7/4lwVvXqtPd+dC/vffVeKqqWJEnSVrLBKkmSJDWE7BzY78INj9/6R83mOQdsWOzq7rfmEE8k6d2mNxf2rz4+SZJfT/g1FbGKbVauJEmSGoYNVkmSJKmh7Hka5Ler3p7xJCyfB8BO27XigN5FAMxftoaSj78C4IzdzqB/h/4ALFi1gL++99dtX7MkSZK2ig1WSZIkqaHk5sPA86q3k3F4O1Lz1Dn7b7iL9c4JswHIzsrmj0P+SPOc5gA88ukjvLXwrW1XryRJkraaDVZJkiSpIQ08F8L51dvv3werlwJw0E7t6d2hJQDvzl3OtAUrAOhW0I1L97605vT/e+v/iK6LbtOSJUmSVH82WCVJkqSGlN8W9jqjertqDbx7OwChUIizN7mLdU7N9sk7n8zgToMBWFKxhD9P+vO2q1eSJElbxQarJEmS1NAGj4ZQdvX2pFth3WoAju3fhbYtcgF4btqXfFm+Bqhuvv5+yO9pFW4FwH9n/5dx88Zt+7olSZJUZzZYJUmSpIbWuhv0Pb56e80ymPogAM3C2Zw+qBsAVYkk9741r+aUji06csWgK2oe//6d37N0zdJtV7MkSZLqxQarJEmS1BiGXLxh++2bIV4FwOmDu5ObXf02fOykeayurKo57MieR3Jw14MBWLZ2GX98548kk8ltV7MkSZLqzAarJEmS1Bg69oVeh1Rvr/gCPn4agA6tmnHUnp0BiK6t4on3F9ScEgqF+M3g39Amrw0Ar3zxCs/Ofnabli1JkqS6scEqSZIkNZYhl2zYnvB3+OZu1LOHbFjs6q4Jc0gkNtylWtS8iF/v++uax9dOupbFqxc3dqWSJEmqJxusaWbJkiVccMEFdO/enby8PDp16sQRRxzBrFmzUl2aJEmS6qrH/tB5r+rtr6bDrFcB2K1zAfvt2A6AuUsrGPfJkk1OG9FjBIfvcDgAK2MrGfPWGKcKkCRJSlM2WNPIrFmz6N+/P88++yxnn302//rXv7j00kvJz89n2bJlqS5PkiRJdRUKbToX68S/12z++IANd7HeOWH2t069atBVdGjeofq0RRN5rPSxRitTkiRJ9ZeT6gK0wWmnnUaHDh148803adWqVarLkSRJUkPY9Uho2xOWzYY5b8LC96HLXgzdqQM927dg9tereWf2MmYsLKdvl8Ka0wrzChmz3xh+Nu5nANww5QYGdxpM14KuqRqJJEmSvoN3sKaJ1157jUmTJvH73/+eVq1asXbtWiorK1NdliRJkrZWVjbsd+GGxxNvqt6dFeKs/5mL9X8dsP0BnLDTCQCsqVrDryf+mngi3rj1SpIkqU5ssKaJF198EYDWrVtz0EEHkZ+fT/PmzRk4cCDjx49PcXWSJEnaKnsUQ4v21dszn4Gl1fPrH79XF1rnhwH477RFfBVd+61Tf7nPL+nSsgsA7y95nwdmPrBtapYkSVKtBLLBWlFRwQsvvMAf//hHjjvuOLp3704oFCIUCjFmzJhaXWPlypWMGTOGfv360bJlSwoLCxkwYAA33ngj69ata/CaS0tLATj++OMpKCjg4Ycf5pZbbuHLL7/kkEMO4b333mvw15QkSdI2Em4Gg35avZ1MwNv/BCA/N4figd0AiMWT3Pf23G+d2iLcgj8M+QMhQgD84/1/MGuFC6BKkiSli0DOwTp58mQOP/zwep8/b948hg4dyty5cwHIz8+nsrKSKVOmMGXKFB588EHGjRtHmzZtvnVuMpms9Uf7s7KyyM3NBaobugC77LILzzzzDKFQ9RvoYcOGsdtuu/G73/2OZ555pt5jkiRJUooNOAcm/A3WrYKpD8LQK6FlB0bt14Pbx88mFk/y4KQvuODg3jTPzd701I4DOH2307n/4/tZl1jH1ROu5v7D7yecFU7RYCRJkrReIO9gBWjTpg3Dhg3jsssu46GHHqJjx461Oq+qqoojjzySuXPn0qlTJ0pKSli9ejUVFRU8/PDDtGrViqlTp3L66ad/5/nz5s2jefPmtfpvr732qjmvefPmAJxxxhk1zVWA3r17s99++/HGG29sxf8NSZIkpVzzNrD3mdXb8UqYfBsA2xU044e7dwZgRUWMJ6cu+M7TL+p/ETsUVs/Z+tHSj7hj+h2NXrIkSZK2LJB3sB5wwAEsW7Zsk31XXHFFrc699957mT59OgBPPPEEgwcPBqrvNj355JNJJBIUFxfz/PPPM27cOIYNG7bJ+UVFRdx99921eq2N74Dt0qV6Xq3vagR36tSJN998k3g8TnZ29reelyRJUobY92cw6d+QqILJt8OQSyCvJefsvwNPTV0IwJ0T5nDqgG5kZYU2ObVZTjOu2f8aTn/+dOLJOLd9eBsHbX8Qu7XbLQUDkSRJ0nqBbLBuTRPy3nvvBeDggw+uaa5u7JRTTuHqq69mzpw53Hfffd9qsLZs2ZIzzzyzzq87YMAAbr31VhYs+PYdC/Pnz6ddu3Y2VyVJkjJdYRfodxJ8OBbWroD374PBP6Nvl0IG7dCWSXOWMfvr1bxR+jUH79LhW6f3LerLj/v9mFun3UpVsoqrJ1zNwz98mLzsvG0/FkmSJAEBniKgPioqKpg4cSIAI0eO/M5jQqEQhx12GAAvv/xyg7320UcfTX5+PrfddhuxWKxm/9SpU3n77bdrXlOSJEkZbshFG7bfjkC8+r3fOfvvULP7zglzvvf083Y/j13b7grA5ys+J/JBpHHqlCRJUq3YYN3IzJkzSSQSAPTt2/d7j1v/3OLFi781FUF9FRUVcc011zB16lQOPPBAbr75ZsaMGcOwYcNo06YNv//97xvkdSRJkpRiHXaFnb75x/PoApjxBADDdt2O7u3yAZjweRkzv4x+5+nh7DB/3P+PNQtc3TPjHqYumdr4dUuSJOk7BXKKgPpatGhRzfb6OVG/y8bPLVq0iLZt2zbI61988cUUFRVx4403ctlll9G8eXOGDRvGtddeS8+ePb/3vMrKSiorK2seR6PVb8Zjsdgmd8MGxfoxBXFsUlCZWymzmNnGF9r3AnJKXwQgOeHvVO16HIRCjNq3G79/7hMA7hg/iz8f+93/6L9Dyx04f/fz+ccH/yBJkqvGX8Ujhz9C85zm22wMSh9mVso85lZKf3XJpw3WjaxcubJmOz8//3uP2/i5jc9pCKeddhqnnXZanc659tpr+d3vfvet/S+//PJmx5HpSkpKUl2CpDoyt1JmMbONKJnkgBa9aLv6c0Jfz2TKw39mSeEetIxD8+xs1sRDPD11IXuGvqAg97svUZQsomt2V+bH57Ng1QIuffpSjsw/ctuOQ2nFzEqZx9xK6auioqLWx9pgDYArr7ySSy+9tOZxNBqla9eujBgxgoKCghRW1jhisRglJSUMHz6ccDic6nIk1YK5lTKLmd02Qp+G4PEzABhU9Rbxw68E4LPcUm6fMJd4MsRXrXbilGG9vvcau0d355QXTmFtfC2T1k1i1JBR7Ntp321Sv9KHmZUyj7mV0t/6T4jXhg3WjbRq1apme3Nd6o2f2/icVMnLyyMv79srx4bD4UD/oA76+KQgMrdSZjGzjWy3I6FoJygrJeuLt8la/AF0HcBZ+/fkrrfmEU8keejdBVwwbCeahbO/8xI7ttuRn+/9c66dfC0Av5v0O548+kkKcoP3j+zaMjMrZR5zK6WvumTTRa420rlz55rthQsXfu9xGz+38TmSJElSrWVlwX4XbXg88e8AdG7dnMP7dQJg6ep1PD31+9+XApyyyykM6jQIgK8qvuK6ydc1SrmSJEn6bt7BupFdd92VrKwsEokEM2bMYOTIkd953IwZMwDo2LFjgy1w1Rhc5EpSujC3UmYxs9vQrseS8+ofCK36iuQnz1G1+GNo15tR+3blvx9WL8B654TZHLdnR0Kh0Pde5jcDf8PJz5/Mqtgqnpn1DEO7DGXo9kO30SCUamZWyjzmVkp/LnJVT/n5+QwZMoTx48fz4osvctlll33rmGQyyUsvvQTAiBEjtnWJmxWJRIhEIsTjccBFriSlH3MrZRYzu230KhhKn1WPECLJwseu4MNu5wCwQ6ts5qwM8dmS1fztoRfZpXVys9cZkTOCJ2NPAvB/4/+Pi1pdRIusFo1ev9KHmZUyj7mV0peLXG2FUaNGMX78eF577TUmTZrEoEGDNnn+scceY/bs2QCcccYZqSjxe40ePZrRo0cTjUYpLCx0kStJacPcSpnFzG5ja/cn+c/nCVWupPuKt+lyWgRadSSr+1dc+PCHAMyIdeDSw/fe7GVGJkdS9mYZby58k9XJ1UwunMxf9v/LZu98VTCYWSnzmFsp/bnIFbB8+fKaOzkBEokEUN19Lisrq9nfrFkzWrZsWfN41KhR3HTTTUyfPp3jjz+ee++9l2HDhpFIJHjiiSc499xzARg5ciTDhg3bRqOpn6BPlh308UlBZG6lzGJmt5FwO9jnbJh4E6H4OsLv3QHDf8fhu3fhLy+XMn/ZGsZ/vpQ5y9ay03abX2D1d0N+x7H/OZYVlSsYN38cJQtKOKLnEdtoIEo1MytlHnMrpS8XuQL69+9P+/bta/6bP38+ANdff/0m+y+44IJNzsvJyeGZZ56hR48eLFy4kEMOOYQWLVrQokULTjrpJKLRKP379+fBBx9MxbAkSZIURIPOh+zc6u0pd8HaKNlZIc7cb4eaQ+6aMGeLlylqXsSv9/11zeM/TfoTSyqWNHi5kiRJ2iCwd7BujR49ejBt2jRuuOEGnnzySebMmUM4HKZPnz6ceuqpXHjhheTm5qa6zC1ykStJ6cLcSpnFzKZA8yKy+55I1ocPQmWU+OQ7SAy+kGP36MjfSkpZVVnFk1MXcsmwHWnXYvPvQ3/Q5Qcc1v0wXpz3IivXreT/JvwfNw+92akCAszMSpnH3Erpry75DCWTyc3Plq+MsfEiV6WlpYwdOzbQi1xJkiQFScu1X/KDmVcQIsmacBte2e0GEllhnpqbxetfVn/w7PCucQ7dfstv3ysSFdy88mZWJlcCcHTzoxmQN6BR65ckSQqSiooKiouLKS8v3+IaRzZYA2j9IldlZWUuciUpLZhbKbOY2dTJfuwMskqfB6DqiJtI7nkaC5avYdjfxpNIQlHLXF7/xYHk5Wx5pq8JCydw0RsXAZCfk88jhz9Cl5ZdGrV+pYaZlTKPuZXSXzQapaioqFYNVqcICLCgT5Yd9PFJQWRupcxiZlPggEvhmwZrzqQI7H0GO3QoYGTfTjw3/UvKVq3jhY+WcOI+Xbd4qYN7HMzxi47nic+eoKKqgjGTxnDXoXeRFQrsMgxNnpmVMo+5ldKXi1xJkiRJmajrAOi2X/V2WSmUvgjA2ftvWOzqzglzqO2H0C4bcFnNXavvffUeD3z8QMPWK0mSJBuskiRJUlrZ/5IN2xP/DsDe3duwZ9fWAHyyeCVvzVpaq0u1CLfgD0P+UPP4pvdvYvaK2Q1UqCRJksApAgItFosFckVCV1uUMo+5lTKLmU2xHkPJab8Loa8/gfmTqJo9gWTXQZw1uBsXz18BwO1vzmJg98JaXW7Pdnty6s6n8tCnD7EusY6rxl/F3SPuJifLPwWCwsxKmcfcSumvLvl0kasAiUQiRCIR4vE4paWljB07lvz8/FSXJUmSpDrqunQCe31xGwBfFvRn8o4/J56EP7yfzfJ1IQCu2rOK7ZrX7nqxZIzIyghliTIAjmx+JIPyBjVK7ZIkSUFQUVFBcXFxrRa5ssEaQNFolMLCQsrKyrb4DZCJXG1RyjzmVsosZjYNxNeRE9mH0MpFAMR+MhHa78ydE+fy5xdLATh1wPb8/qjdan3JD77+gLNLzgagILeAp374FG2atWn42rXNmVkp85hbKf1Fo1GKiopq1WD1c0EBFvTVCIM+PimIzK2UWcxsCoXDsN8F8NJV1Q8n3wLH3ELxvj24+dVZrF4X56kPFvGrw3alTYvcWl1yQOcBHNnzSP47+79E10X514x/8dvBv23MUWgbM7NS5jG3UvqqSzZd5EqSJElKR3udAc2+mWd12qNQvpCCZmFO3KcrAGtjCcZO/qJOl/z53j+nRbgFAE+UPsFHSz9q0JIlSZKaIhuskiRJUjrKawUDzq3eTsTgnVsAOHvIDoSqp2Hl3rfmsq4qUetLts9vz093/ykASZJcO+laEsnany9JkqRvs8EqSZIkpatB50F2XvX2e/fAmhV0a5fPiN22A2DJykqenbaoTpc8bdfT2KFwBwA+/PpD/jvrvw1ZsSRJUpPjHKwBFovFiMViqS6jwa0fUxDHJgWVuZUyi5lNI3ltyNr9FLKn3gvrVhGfdDuJIZcwat9uvPTRVwDcMX42P+zbgdD621pr4bK9LuNnr/0MgL+99zcO6HQArXJbNcoQ1PjMrJR5zK2U/uqSz1AymUw2Yi3ahiKRCJFIhHg8TmlpKWPHjiU/Pz/VZUmSJGkrtKj8imEf/4oQSdbmFFLS50bioVxunJ7N/NXVTdULd6uiV2Hdrjt29Vg+jn0MwH55+3F488MbunRJkqSMVVFRQXFxMeXl5RQUFGz2WBusARSNRiksLKSsrGyL3wCZKBaLUVJSwvDhw11tUcoQ5lbKLGY2/WQ/cTZZnzwDQNXIG0nuNYpnPvySXzw+HYBhu7Tn36f1r9M1F61axPHPHU9lvJKcUA4PH/4wPQt7NnjtanxmVso85lZKf9FolKKiolo1WJ0iIMDC4XCgf1AHfXxSEJlbKbOY2TRywCXwTYM1Z9ItMOAsjuq/Pde//BmLo2t59dOvWVi+jh5FLWp9ye5tunNO33O45cNbqEpWcf3713P78NvrNNWA0ouZlTKPuZXSV12y6SJXkiRJUrrrsjf0OKB6e9ks+ORZwtlZjNqvBwDJJNw9cU6dL3tW37Po0rILAJO+nETJvJKGqliSJKnJsMEqSZIkZYL9L9mwPeHvkExSPLAbzcPZADw6ZQHlFXVbLKVZTjMuG3BZzePrp1zPmqo1DVCsJElS02GDVZIkScoEOw6D7fpVby96H+ZOoDA/zIn7bA/Amlich979os6X/UHXHzCk8xAAFq9ezB3T72iwkiVJkpoCG6ySJElSJgiFYMjFGx5PvAmAs4bswPppU++ZOJdYPFHHy4a4fODl5GRVL89wz4x7mL9yfoOULEmS1BTYYJUkSZIyRZ9jobBb9fbnJbB4BjsUtWDYLh0AWBxdy/PTv6zzZXco3IEf7fojANYl1vGXd//SYCVLkiQFXU6qC1DjicVixGJ1m4crE6wfUxDHJgWVuZUyi5lNb1mDzif75SsBSEz4O/Gj/8WZg7vxyswlANwxfjYjd2tPaP1trbV09m5n89/Z/6VsTRmvz3+d1+e9XjN1gNKbmZUyj7mV0l9d8hlKJpPJRqxF21AkEiESiRCPxyktLWXs2LHk5+enuixJkiQ1oOx4JcM/+jl58VUkyOKVPjdQES7i+mnZLKyobqpe1KeKHQvqfu0P1n3A4xWPA9Auqx0XtrqQnJD3ZEiSpKanoqKC4uJiysvLKSjY/BsrG6wBFI1GKSwspKysbIvfAJkoFotRUlLC8OHDCYfDqS5HUi2YWymzmNn0l/XmdWSPvx6A+IDzSIz4E09NXcSvnpwBwIjdOhA5dc86XzeZTHLOK+fwwdcfAHDhHhdyVp+zGqpsNRIzK2Uecyulv2g0SlFRUa0arP5zdICFw+FA/6AO+vikIDK3UmYxs2ls3/Ph7X9C1RqyP7if7IOv4Ji9unJDyWcsWVnJKzOX8GU0Rrd2df8006/3/TUnPXsSiWSCOz66g6N7H812LbZrhEGooZlZKfOYWyl91SWbLnIlSZIkZZoW7WCv6kWpiFXAu3eQm5PFGYO7A5BIwt1vzanXpXduuzMn7nQiAGuq1nDjezc2SMmSJElBZYNVkiRJykSDR0Mou3p70r8htobiQd1pFq5+i//ou/OJrq3f4ikX9r+Q1nmtAXhhzgu8u/jdhqhYkiQpkGywSpIkSZmoTQ/oc2z1dsVSmPoAbVvkctxe2wOwel2cRybPr9elC/MKuWivi2oeXzv5WqoSVVtbsSRJUiDZYJUkSZIy1ZANTVDe/ifEqzh7yA41u+55ay5V8US9Ln1cr+PYte2uAHy2/DMe+fSRrSpVkiQpqGywSpIkSZmq0x7Q8+Dq7eVzYeZ/6NWhJQfv3B6AhSvW8NJHX9Xr0tlZ2Vw16Kqax5EPIixbu2xrK5YkSQocG6ySJElSJtv/kg3bE2+CZJJz9u9Zs+uOCbPrfek9O+zJUTseBcDKdSv5x/v/qPe1JEmSgion1QWo8cRiMWKx+i1skM7WjymIY5OCytxKmcXMZpjt9yOn4+6EFk+DLz+k6rNxDOxxIDtv15JPv1rF1C9WMHn21/Tv2rpel79g9wt49YtXWRVbxZOfPckxPY+hT7s+DTsGbRUzK2Uecyulv7rkM5RMJpONWIu2oUgkQiQSIR6PU1paytixY8nPz091WZIkSWpknZdPYsDcCABLWvXl7V6/4p0lIR6alQ1A/3YJztypfnOxAkxcO5EX1r4AwPbZ2/OTlj8hK+SH4SRJUnBVVFRQXFxMeXk5BQUFmz3WBmsARaNRCgsLKSsr2+I3QCaKxWKUlJQwfPhwwuFwqsuRVAvmVsosZjYDJarI+de+hFbMBSB29jgqi/py0I3jWbp6HVkhePXSA+jSunm9Lh9LxDj1hVOZXV493cBvB/2Wo3c8uqGq11Yys1LmMbdS+otGoxQVFdWqweoUAQEWDocD/YM66OOTgsjcSpnFzGaSMAy5EJ77RfWjybcQPuEuzhjcg7+9UkoiCQ9OXsDVR+xWz6uHuXLQlZz78rkA3PzhzYzoOYKC3OD9Y34mM7NS5jG3UvqqSzb9XI8kSZIUBHueBvlF1dsfPQXL5nDavt3Izal+y//w5Pmsqqyq9+X37bQvw7sPB2DZ2mX864N/bXXJkiRJQWCDVZIkSQqCcHMY9NPq7WQC3o5Q1DKPY/fsAsDKyioefXf+Vr3EZftcRrPsZgA89MlDfLb8s626niRJUhDYYJUkSZKCYsA5EG5RvT31AVhdxjkH7FDz9N1vzSGeqP8SDJ1aduLH/X4MQDwZ59rJ1+KSDpIkqamzwSpJkiQFRX5b2HtU9XbVGph8Gztt14oDeldPHTB/2RpKPl68VS9xZt8z2b7l9gC8u/hdXpr30lZdT5IkKdPZYJUkSZKCZN+fQdY3a9lOvg3Wreac/TfcxXrnhDlbdfm87DwuH3h5zeMb3r2BiljFVl1TkiQpk9lglSRJkoKkdVfoe0L19prl8P79HLRTe3p3aAnAu3OX82X5mq16iYO2P4j9u+wPwFcVX3HH9Du26nqSJEmZzAarJEmSFDRDLtqw/fY/CSWq2LNr65pdqyurturyoVCIywdcTs43d8re89E9fBH9YquuKUmSlKlssEqSJElBs10f6D2iert8Pnz0VIO/RI/CHozarXq+11gixnXvXtfgryFJkpQJbLBKkiRJQTTk4g3bE2+CZLLBX+Inu/+EDvkdAHhzwZu8Mf+NBn8NSZKkdGeDVZIkSQqi7kOgyz7V21/NYOdVkxv8JfLD+fxyn1/WPL7u3euojFc2+OtIkiSls5xUF6DGE4vFiMViqS6jwa0fUxDHJgWVuZUyi5kNjtC+F5DzxJkAHFQ2lj9yGQCxWFWDfX2HdRnG3h325r0l7zF/5Xzunn435/Q5p0Gurdoxs1LmMbdS+qtLPkPJZCN8VkgpEYlEiEQixONxSktLGTt2LPn5+akuS5IkSamSTDBs5uW0rPwKgKMq/8C05I5cuUcVHRvwbeLi+GIiKyMkSRImzMUFF9M6q3XDvYAkSdI2VlFRQXFxMeXl5RQUFGz2WBusARSNRiksLKSsrGyL3wCZKBaLUVJSwvDhwwmHw6kuR1ItmFsps5jZYAlNvY+c5y8F4Ln4QEbHLuH5C/ejd4eWDfo6f5nyFx4ufRiA4d2Gc93+Lnq1rZhZKfOYWyn9RaNRioqKatVgdYqAAAuHw4H+QR308UlBZG6lzGJmA6L/afDGn2H1EkZmvUuP0JeEc3Ia/Gt7wV4X8NK8l1heuZySL0o4pewUBnYa2KCvoc0zs1LmMbdS+qpLNl3kSpIkSQqycDPY93wAskJJzs1+vlFepjCvkEv2vqTm8bWTryWWcG5BSZIUfDZYJUmSpKDb52zWZlVPunpq9qt0eO0XUL6gwV/mmF7H0LddXwA+X/E5j3zySIO/hiRJUrqxwSpJkiQFXfPWTGh3IlB9F2vhJ4/AzXtDyW9gzfIGe5msUBZXDrqy5nHkgwhla8oa7PqSJEnpyAarJEmS1ASUdDiTa2OnEk1W38lK1VqYeBPctCdM/AfE1jbI6+zefneO7XUsAKtiq7jp/Zsa5LqSJEnpygarJEmS1AQkQ9ncGj+SAyr/zvI9zoPsvOon1q6Akv+rvqP1g7GQiG/1a12818W0CrcC4OnPn2ba19O2+pqSJEnpygarJEmS1ISU05Kv9/s/uPA92KMYCFU/EV0AT58P/z4ASl+GZLLer9GueTt+tufPah5fM+kaEsnEVlYuSZKUnmywSpIkSU1R665w7L/gpxOg94gN+5d8BGNPhHt+CAveq/flT9nlFHq17gXAR0s/4qnPntraiiVJktKSDVZJkiSpCQitv1P1f3XsC6c9BqOehc57bdg/bwLc8QN49AxYOqvOr5eTlcNVg66qeXzT+zdRXlle5+tIkiSlOxuskiRJkmCHA+DcV+HEe6Htjhv2f/wfiAyEZy+FVUvqdMkBHQdwWI/DAFheuZzIB5GGrFiSJCkt2GCVJEmSVC0Ugj7HwOhJcMSN0KJD9f5EFUy5E27aE167BipX1vqSv9jnFzTPaQ7AI58+wqfLPm34uiVJklLIBqskSZKkTWWHYcCP4aKpMPQqyG1ZvT+2Gt64rrrROuk2qFq3xUt1bNGRc/udC0AimeCaSdeQ3IoFtCRJktKNDVZJkiRJ3y2vJQy9vLrROuBcyMqp3l9RBi9cVj11wIwnIJHY7GVG9RlFt1bdAHh/yfu8MOeFxq5ckiRpm7HBKkmSJDUxdb6BtGUHOOIGGD0Z+hy3Yf/yOfD42dWLYc1+43tPz83O5fKBl9c8vnHKjVTEKupYhCRJUnqywSpJkiSpdtrtCCfeXb0YVo8DNuxfNBXuOwoeOB4WT//OUw/c/kAO2v4gAJasWcKt027dFhVLkiQ1upxUF6DGE4vFiMViqS6jwa0fUxDHJgWVuZUyi5kNpmRyw8f4q6q28n1ih92h+ElCs18l+9XfE1ryUfX+z18h+fk4kv1OJH7gFdC62yan/bz/z3lr0VvEEjHu+/g+juxxJN0Lute/DgFmVspE5lZKf3XJZyjpDPOBEYlEiEQixONxSktLGTt2LPn5+akuS5IkSWng4VlZvL2k+gNsl+9RReeGepuYTLD98rfZddHj5MeW1uyOh3KYU3QIpR2PJJbTqmZ/yZoS3qisnk6gd05vzmhxBqFQqIGKkSRJahgVFRUUFxdTXl5OQUHBZo+1wRpA0WiUwsJCysrKtvgNkIlisRglJSUMHz6ccDic6nIk1YK5lTKLmQ2mq5/+iEffWwjAcxcMZqftWm3hjDqqWkvWe3eRNfFvhNYsr9mdzCsgsd/FJAacC+F81lSt4bhnj+Oriq8A+NuBf6uZOkD1Y2alzGNupfQXjUYpKiqqVYPVKQICLBwOB/oHddDHJwWRuZUyi5kNlqysDcsv5OQ0wtc2HIb9L4a9R8HEv8M7/4KqtYQqo2S/9geyp9wJB19JeI9ifjngl1z2xmUA3PD+DRzQ7QDysvMatp4myMxKmcfcSumrLtl0kStJkiRJDad5azhkDFw0Ffr/CELf/MmxchE8cyH8ewiHrokzsOMAABauWsjdM+5OWbmSJElbywarJEmS1MQk2QazhBV0hqP/Cee/DTsfvmH/158QeqSYKxfMJfub5uud0+9k0apFjV+TJElSI7DBKkmSJKnxdNgFTn0IznoRth9Ys7vX/Pc4dcUKANbG13LDlBtSVKAkSdLWscEqSZIkNQGhUIoL6D4YznkZTn4QinYC4PwV5bSNxwEomVfCO58/n8oKJUmS6sUGqyRJkqRtIxSCXX9YPW3AkTdRkL8dlyxbUfP0ta//gtgrY2BtecpKlCRJqisbrJIkSZK2rewc2PtMuOh9jh7wc3ZfVwXA7HAOY6fdATftCW/fAlWVKS1TkiSpNmywSpIkSUqN3BZkHXQZVx52B+tnMPhXm0LK1q2Al66Ef+4D0x6FRCKVVUqSJG2WDVZJkiRJKdW36xCO6308AKuzsvhbm9bVT6z4Ap48F247ED4fl7oCJUmSNsMGqyRJkqSUu2ivi2iV2wqAZ1q15IOegzc8uXg6PHAc3Hc0LJqaogolSZK+mw1WSZIkqYlJJlNdwbe1bdaWC/a8oObxNW0KiJ/+JHTaY8NBs1+H24bC4+fAsjnbvEZJkqTvYoNVkiRJahJCWz4kxU7a+SR6t+kNwMxlM3kivhTOfR2OvxNad99w4IzH4Z8D4Plfweqy1BQrSZL0DRuskiRJktJCTlYOVw28qubxP6b+gxXrotDvBLhgCoz8C+S3q34yEYPJt8JNe8Ibf4F1q1NTtCRJavJssEqSJElKG/t03IeRO4wEoLyynH9+8M/qJ3JyYdB5cNEHcOCvIJxfvX/dSnjtT/CP/vDunRCPpaZwSZLUZNlglSRJkpRWfrH3L2ie0xyAx0of45Nln2x4slkB/OBquGgq7HM2hLKr96/6Cp67FG7ZFz7+T3pONCtJkgLJBqskSZKktLJdi+04b/fzAEgkE1wz6RqS/9swbdURfvg3GD0Jdj1qw/6ln8OjZ8Adh8C8t7Zh1ZIkqamywSpJkiQp7fxotx/RvaB6YaupS6by7Oxnv/vAot5w8v1wzivQbb8N+xdOgbsPh9mvN36xkiSpSbPBKkmSJDUxmfDp+dzsXK4YeEXN47++91dWrVv1/Sd0HQBnPQ+nPgLtd/lmZxK+mNS4hUqSpCbPBmuaOPPMMwmFQt/737nnnpvqEiVJkpTBQqFUV1B3+3fZn6FdhwJQtqaMW6fduvkTQiHY+TAY8cfGL06SJOkbOakuQNXOO+88DjnkkG/tv+eeexg3bhxHHHFECqqSJEmSUutXA37FWwvfYl1iHQ98/ADH9j6WnoU9U12WJElSDRusaWLw4MEMHjx4k32JRIIrr7yS9u3b22CVJElSk9S1VVfO6nsWt067lapkFX+e9GduHX4roUy8JVeSJAWSUwSksVdeeYUFCxZw2mmnEQ6HU12OJEmSlBLn9DuHTi06AfD2l2/z6hevprgiSZKkDWywprG7774bgLPOOivFlUiSJEmp0zynOZcNuKzm8V/e/Qtrq9amsCJJkqQNAtlgraio4IUXXuCPf/wjxx13HN27d69ZLGrMmDG1usbKlSsZM2YM/fr1o2XLlhQWFjJgwABuvPFG1q1b17gDAMrLy3n66afZa6+92H333Rv99SRJkqR0dki3QxjUaRAAi1Yv4q4Zd6W4IkmSpGqBnIN18uTJHH744fU+f968eQwdOpS5c+cCkJ+fT2VlJVOmTGHKlCk8+OCDjBs3jjZt2nzr3GQySWVlZa1eJysri9zc3O987uGHH2bt2rXevSpJkqQGlySZ6hLqLBQKceXAKznhmROoSlZx14y7OLrX0XRp2WULZ2beWCVJUmYJ5B2sAG3atGHYsGFcdtllPPTQQ3Ts2LFW51VVVXHkkUcyd+5cOnXqRElJCatXr6aiooKHH36YVq1aMXXqVE4//fTvPH/evHk0b968Vv/ttdde31vHPffcQ25uLsXFxfUavyRJkrSxICwJtWPrHSnetfr9cWW8kuvfvf57jgzCaCVJUqYI5B2sBxxwAMuWLdtk3xVXXFGrc++9916mT58OwBNPPMHgwYOB6rtNTz75ZBKJBMXFxTz//POMGzeOYcOGbXJ+UVFRzdypW/Jdd8ACfPrpp7zzzjuccMIJtG3btlbXkiRJkpqC8/c4n+dmP8fStUsZ98U43lr4Fvt12S/VZUmSpCYskA3W7Ozsep977733AnDwwQfXNFc3dsopp3D11VczZ84c7rvvvm81WFu2bMmZZ55Z79cHF7eSJEmSvk/L3JZcus+lXD3hagCunXwtTx71JOHscIorkyRJTVVgpwioj4qKCiZOnAjAyJEjv/OYUCjEYYcdBsDLL7/c4DXE43Huv/9+OnXqxKGHHtrg15ckSZIy3Q97/pA92u8BwNzoXB6c+WCKK5IkSU1ZIO9gra+ZM2eSSCQA6Nu37/cet/65xYsXs2zZsgb9GH9JSQmLFi3i8ssvr/WduJWVlZssrBWNRgGIxWLEYrEGqy1drB9TEMcmBZW5lTKLmQ2m9e9zoXrdgUz/+v5q719x+ounkyTJvz78FyO6jqB9fnsAQvGqmj904vE4iQwf65aYWSnzmFsp/dUlnzZYN7Jo0aKa7S5dvn810o2fW7RoUYM2WO+55x6AOk0zcO211/K73/3uW/tffvll8vPzG6iy9FNSUpLqEiTVkbmVMouZDZYvvshi/QfYJkyYwNwWqa2nIeyTuw/vrnuXiqoKfvXcrzixxYkAdIhOY/1kX5999hmfrno+dUVuQ2ZWyjzmVkpfFRUVtT7WButGVq5cWbO9ucbkxs9tfE5DePjhh3n44YfrdM6VV17JpZdeWvM4Go3StWtXRowYQUFBQYPWlw5isRglJSUMHz6ccNi5tqRMYG6lzGJmg+mdZz5m4lcLABgyZH/6dM7894n7Ve7HMf89hui6KB/GPuSifS6if4f+hGblwazqY3r37sWOBx6e2kIbmZmVMo+5ldLf+k+I14YN1gDIy8sjLy/vW/vD4XCgf1AHfXxSEJlbKbOY2WDJzt6w/EJOTk4gvrbtw+25sP+F/GnSnwC4/v3refiIh8nO2fBnTnZWNtkBGGttmFkp85hbKX3VJZsucrWRVq1a1Wxv7jbgjZ/b+BxJkiRJ29aJO53ILm13AeCTZZ/weOnjKa5IkiQ1Nd7BupHOnTvXbC9cuJDdd9/9O49buHDhd56TblzkSlK6MLdSZjGzwRS0Ra42dtlel3HOK+cA8I+p/+AHfX9B+2+eiydc5EpS+jG3Uvpzkat62nXXXcnKyiKRSDBjxgxGjhz5ncfNmDEDgI4dOzboAldbKxKJEIlEiMfjgItcSUo/5lbKLGY2WObN27DI1cSJE5gXgEWuNrZHeA8+jH1IdF2UMe/fS+Sb/S5yJSmdmVspfbnIVT3l5+czZMgQxo8fz4svvshll132rWOSySQvvfQSACNGjNjWJW7W6NGjGT16NNFolMLCQhe5kpQ2zK2UWcxsME36b/AWudrYgDUDOPa/x1JRVcF45vBRbpg+62L07t3bRa4kpR1zK6U/F7naCqNGjWL8+PG89tprTJo0iUGDBm3y/GOPPcbs2bMBOOOMM1JRYq0FfbLsoI9PCiJzK2UWMxssWVnBW+RqY53DnfnpHj/lr+/9lSRJrm3Xlvu+/MpFriSlNXMrpS8XuQKWL19OWVlZzX/r55yqqKjYZP+qVas2OW/UqFH069ePZDLJ8ccfz7hx44DqOasee+wxzj33XABGjhzJsGHDtu2gJEmSJH2v03c9nR4FPQD4sFkez7ZsASRTWpMkSQq+wDZY+/fvT/v27Wv+mz9/PgDXX3/9JvsvuOCCTc7LycnhmWeeoUePHixcuJBDDjmEFi1a0KJFC0466SSi0Sj9+/fnwQcfTMWwJEmSpHoJEUp1CY0unB3myoFX1jz+a5vWzI+tTGFFkiSpKXCKgO/Qo0cPpk2bxg033MCTTz7JnDlzCIfD9OnTh1NPPZULL7yQ3NzcVJe5RbFYLJArErraopR5zK2UWcxsMK3/RBdAVVVVYL++AzoM4Adt+vHq8ukszcnmh18+x8GvruH0XU5nj/Z7pLq8RmFmpcxjbqX0V5d8hpLJpJ+ZCYhIJEIkEiEej1NaWsrYsWPJz89PdVmSJElKA4/NzmLCV9UfYPtlvyq6tkxxQY0oq/wd/hZ7mq9zNr2fpGt2V/bP259dw7uSFQrsh/kkSVIDqKiooLi4mPLy8i0uIm+DNYCi0SiFhYWUlZVt8RsgE7naopR5zK2UWcxsMI3570wenFw9bdbT5+9Ln87Be5+4Xmj2a6x65GQebdWSsUUdWZpYu8nz27fcnuKdizmq51HkhzP/hgQzK2Uecyulv2g0SlFRUa0arE4REGBBX40w6OOTgsjcSpnFzAZLVtaGOzZzcnKC/bXNzqZ1IsFPyqOcucdPeK5rX+77+D4+X/E5AAtWLeAv7/2Ff0//NyfudCLFuxbTIb9DioveemZWyjzmVkpfdcmmn4uRJEmSFFi5oWyO7X0sTx71JP8+5N8M7jS45rnouih3zriTQ584lKsnXM2nyz5NYaWSJClTeQerJEmS1MQ0qUnCvhlsKBRiSJchDOkyhE+Xfcp9H9/H83OepypRRVWiimdmPcMzs55h3077MqrPKIZ0HkIoFEpx8ZIkKRPYYA2wWCwWyBUJXW1RyjzmVsosZjaYkslEzXZVVVWgv76heKLmD514Ik7if8bas1VPxgwaw+h+o3m49GGe+PwJouuiALzz5Tu88+U77Fi4I6ftchqH9zic3OzcbTyCujGzUuYxt1L6q0s+XeQqQCKRCJFIhHg8TmlpKWPHjiU/P/Mn7ZckSdLWe3x2FuO/qp4h7Jf9qujaMsUFNaL20RnsN+svAHza8Wg+6XT8Zo+vTFYydd1UJlZOZHli+SbPtQy1ZFDeIAblDiI/y/fWkiQ1FRUVFRQXF9dqkSsbrAEUjUYpLCykrKxsi98AmcjVFqXMY26lzGJmg+l3z87kgUnzAXjqp/vSt0vw3ieuF5r9OjkPnQBAfP9fkDjoylqdF0/EeX3h6zww8wE+LPtwk+eaZTfjyJ5HctrOp9GtoFuD17w1zKyUecytlP6i0ShFRUW1arA6RUCABX01wqCPTwoicytlFjMbLFlZG9a3zcnJCfbXNie7ZjM7K5vsWo41TJjDeh7GYT0P48OvP+Tej+5l3BfjSCQTrI2v5bHPHuPxzx5naNehjOozir067JVW87SaWSnzmFspfdUlm1lbPkSSJEmSmpY92u/BX4f+leeOfY7Tdj2N5jnNAUiS5LX5r3Hmi2dS/FwxL855kapEVYqrlSRJqWSDVZIkSZK+x/attueKgVdQckIJl+x1CR2ad6h5bsbSGVz25mUc8eQR3PfRfaxatyqFlUqSpFSxwSpJkiQ1MUma0jIMDTPWwrxCzul3Di8e/yLX7H8NO7fZuea5RasXcf2U6xn++HBunHIji1cvbpDXlCRJmcE5WAMsFosRi8VSXUaDWz+mII5NCipzK2UWMxtMyUSiZruqqirQX99QPFHzh048niDRwGM9rNthHNr1UN796l0e+OQBJiyaAMCq2Cru+egeHvj4AYZ3G87pu57Orm13bdDX/i5mVso85lZKf3XJZyiZTDalf74OtEgkQiQSIR6PU1paytixY8nPz091WZIkSUoDj8/JYvzi6g+w/aJfFd1aprigRtQ+OoP9Zv0FgE+3O4pPOp/QqK+3JL6EiZUT+XDdh1Sx6XysO+TswJC8IeyUsxNZIT9AKElSpqioqKC4uJjy8nIKCgo2e6wN1gCKRqMUFhZSVla2xW+ATBSLxSgpKWH48OGutihlCHMrZRYzG0y/f3Ym90+aD8CTPx1Evy6FKa6o8YTmvEHO2OMBiA/5BYmhV26T1126ZimPfvYoj332GCsqV2zyXI+CHpy2y2kc0eMImuU0a9DXNbNS5jG3UvqLRqMUFRXVqsHqFAEBFg6HA/2DOujjk4LI3EqZxcwGS1bWhrsnc3Jygv21zc7eaDOL7G001o7hjly090X8ZI+f8MysZ7j/4/uZG50LwNzoXP40+U/c8uEtnLzLyZyy8ym0a96uQV/fzEqZx9xK6asu2fQzKpIkSZLUgJrlNOOknU/iP8f8h5t/cDP7bLdPzXPLK5fz7w//zYjHRzDmrTHMXjE7hZVKkqSGYINVkiRJkhpBViiLoV2Hcvdhd/PwDx9m5A4jyQ5V3127LrGOJz57gqP/czQ/e+VnTPpyEs7eJklSZrLBKkmSJDUxTaqPlyaD7dOuD3858C+8cNwLjNptFC3DG1YZG79wPD9++cec/OzJ/HfWf4klXFVckqRMYoNVkiRJagJCoVCqS9h20nisnVp24pcDfknJCSX8cp9f0qlFp5rnZi6byVUTruKwJw7jrhl3EV0XTWGlkiSptmywSpIkSdI21jK3JaP6jOL5457nLwf+hT7t+tQ8t6RiCX97728Mf2w4102+joWrFqawUkmStCU5qS5AjScWixGLBe/jRevHFMSxSUFlbqXMYmaDKZ5I1GxXVVUF+usbqorX/KETTyRIpPlYD9n+EIZ1Gcb7X7/Pg588yBsL3iBJkoqqCh6Y+QBjPxnLsK7DOH2X0+lX1O9b55tZKfOYWyn91SWfoaQzqQdGJBIhEokQj8cpLS1l7Nix5Ofnp7osSZIkpYEn5mTx5uLqD7Bd2q+K7i23cEIGK1r5EUM+vw6AT7c7ik86n5DiiuqmLF7GW5VvMXXdVGJs+sddt+xu7J+3P7uEdyEr5AcSJUlqLBUVFRQXF1NeXk5BQcFmj7XBGkDRaJTCwkLKysq2+A2QiWKxGCUlJQwfPpxwOJzqciTVgrmVMouZDabfP/cJ97/zBQBPnDeI3bcvTHFFjSc0501yxh4HQHzIpSSGXpXiiupn+drlPPH5EzxS+ghL1y7d5LmuLbtSvEsxR/U8ipxkjpmVMoy/a6X0F41GKSoqqlWD1SkCAiwcDgf6B3XQxycFkbmVMouZDZbsrA13O+bk5AT7a5uTXbOZnZVFdoaOtUO4A+f3P5+zdz+b52c/z30f38fnKz4HYP6q+Vw35Tr+Pf3fHN/reNon2ptZKQOZWyl91SWbNlglSZKkJqZpfYQt80ebl53Hsb2P5ZhexzBx0UTu/ehe3vnyHQDKK8u566O7yCab/Nn5HLfzcSmuVpKkpsdJeyRJkiQFTCjVBTSKUCjE/l325/YRt/P4kY9z1I5HkZNVfc9MnDgPlz6c4golSWqabLBKkiRJUobZue3O/Gn/P/HS8S8Rzqr+CGMs4WrkkiSlgg1WSZIkScpQHfI7kB3K3vKBkiSp0dhglSRJkiRJkqR6ssEqSZIkSZIkSfWUk+oC1HhisRixWPDmYVo/piCOTQoqcytlFjMbTIlEoma7qqoq0F/fULyq5g+deDxBIsBj3UTS3EqZwt+1UvqrSz5tsAZIJBIhEokQj8cBePnll8nPz09xVY2npKQk1SVIqiNzK2UWMxssc+dmsf4DbBMnTmRhq9TW05iKVn7MkG+2Z836nJlrnk9pPY1t/fv/lStX8vzzwR6rFDT+rpXSV0VFRa2PDSWTyWQj1qIUiEajFBYWUlZWRkFBQarLaXCxWIySkhKGDx9OOBxOdTmSasHcSpnFzAbTH5//hHvf/gKAx34ykD27tk5tQY0oNHc8OQ8eC0B8v0tIHPzrFFfUuPZ7ZD/WxteyY8GOPPbDx1JdjqRa8HetlP6i0ShFRUWUl5dvsb/mHawBFg6HA/2DOujjk4LI3EqZxcwGS1bWhuUXcnJygv21zdnwZ052VhbZQR7rRkKhULC/rlIA+btWSl91yaaLXEmSJElSBguFQqkuQZKkJs0GqyRJkiRJkiTVkw1WSZIkSZIkSaonG6ySJEmSJEmSVE82WCVJkqQmJpnqArappjVaSZK07dlglSRJkpqAEE1pIaSmNNYNkjaTJUlKCRuskiRJkpTBmlbzXJKk9GODVZIkSZIkSZLqyQarJEmSJEmSJNVTTqoLUOOJxWLEYrFUl9Hg1o8piGOTgsrcSpnFzAZTIhGv2a6qqgr01zcUr6r5QyeeSJAI8Fg3lkwmA/11lYLE37VS+qtLPm2wBkgkEiESiRCPV795fvnll8nPz09xVY2npKQk1SVIqiNzK2UWMxssc+Zmsf4DbG+/9RZftkptPY2p3cqZ7P/N9qxZs5i55vmU1tPYqqqqAFi1ahXPPx/ssUpB4+9aKX1VVFTU+thQMpl0qcmAiUajFBYWUlZWRkFBQarLaXCxWIySkhKGDx9OOBxOdTmSasHcSpnFzAbTn57/hHve/gKAR88dSP9urVNbUCMKzZtAzgPHABAffBGJH/wmtQU1sv0f3Z+Kqgp6FvTk8R8+nupyJNWCv2ul9BeNRikqKqK8vHyL/TXvYA2wcDgc6B/UQR+fFETmVsosZjZYsrOzN2zn5AT7a5uzYWzZWVlkB3msGwsR7K+rFED+rpXSV12y6SJXkiRJkpTBQoRSXYIkSU2aDVZJkiRJkiRJqicbrJIkSZIkSZJUTzZYJUmSJEmSJKmebLBKkiRJkiRJUj3ZYJUkSZKanGSqC9iGmtJYJUlSKthglSRJkpqAprXOfNMa7XrJpM1kSZJSwQarJEmSJGWwUKhpNpQlSUoXNlglSZIkSZIkqZ5ssEqSJEmSJElSPdlglSRJkiRJkqR6ssEqSZIkSZIkSfWUk+oC1PDWrx4ajUZTXEnjiMViVFRUEI1GCYfDqS5HUi2YWymzmNlgWluxikRlBQAro1Gi0QD/KbByNVRWvydm1VoI6Pvi9aoqqohXxVmXsy6wfwNIQePvWin9rf+dur7PtjmhZG2OUkZZsGABXbt2TXUZkiRJkiRJUkabP38+22+//WaPscEaQIlEgkWLFtGqVStCoVCqy2lw0WiUrl27Mn/+fAoKClJdjqRaMLdSZjGzUmYxs1LmMbdS+ksmk6xcuZLOnTuTlbX5WVYD/LmgpisrK2uLnfUgKCgo8BeRlGHMrZRZzKyUWcyslHnMrZTeCgsLa3Wci1xJkiRJkiRJUj3ZYJUkSZIkSZKkerLBqoyTl5fHb3/7W/Ly8lJdiqRaMrdSZjGzUmYxs1LmMbdSsLjIlSRJkiRJkiTVk3ewSpIkSZIkSVI92WCVJEmSJEmSpHqywSpJkiRJkiRJ9WSDVZIkSZIkSZLqyQarJEmSJEmSJNWTDVZljJUrVzJmzBj69etHy5YtKSwsZMCAAdx4442sW7cu1eVJ2khFRQUvvPACf/zjHznuuOPo3r07oVCIUCjEmDFjUl2epP+xdOlS7r77bk4//XR22203WrRoQV5eHttvvz3HHHMMTz31VKpLlLSR999/n9/97nccddRR7LLLLrRr145wOEy7du0YMmQIf/rTn1i2bFmqy5S0BX/+859r3iOHQqFUlyNpK4SSyWQy1UVIWzJv3jyGDh3K3LlzAcjPzycej1NZWQlA//79GTduHG3atElhlZLWe/311zn44IO/87nf/va3NlmlNBMOh6mqqqp53KxZM7Kzs1m9enXNvpEjR/L444+Tn5+fihIlbeSCCy4gEonUPG7WrBnhcJiVK1fW7CsqKuKZZ55h8ODBqShR0hZ8+umn7Lnnnqxdu7Zmn+0ZKXN5B6vSXlVVFUceeSRz586lU6dOlJSUsHr1aioqKnj44Ydp1aoVU6dO5fTTT091qZI20qZNG4YNG8Zll13GQw89RMeOHVNdkqTvUVVVxcCBA7nllluYNWsWa9asYdWqVcyZM4dzzjkHgBdeeIHzzjsvxZVKAhg4cCDXX389b7/9NsuXL2fNmjVEo1FWrlzJvffeS/v27SkrK+OYY46hvLw81eVK+h+JRIKzzz6btWvX+o8gUkB4B6vS3p133smPf/xjAN56661v/QJ66KGHKC4uBuCVV15h2LBh27xGSZuKx+NkZ2dvsq9Hjx7MmzfPO1ilNPTaa699713nAD/96U+59dZbAfjiiy/o2rXrtipNUj28/PLLHHrooQA88MADnHbaaSmuSNLGbrrpJi655BJOO+00evXqxe9+9zvAO1ilTOYdrEp79957LwAHH3zwd/7r3imnnMIOO+wAwH333bdNa5P03f63uSopvW2uuQrU3MUKMGXKlMYuR9JW2nfffWu2FyxYkMJKJP2vOXPmcPXVV9OuXTv+9re/pbocSQ3EBqvSWkVFBRMnTgSq5377LqFQiMMOOwyo/td6SZLUsJo1a1azHY/HU1iJpNoYP358zfaOO+6Ywkok/a9zzz2X1atX89e//pX27dunuhxJDcQGq9LazJkzSSQSAPTt2/d7j1v/3OLFi10xVZKkBvb666/XbPfr1y91hUj6XpWVlcydO5d//vOf/OhHPwKgV69eHHnkkSmuTNJ6t99+O+PGjeOQQw7hjDPOSHU5khpQTqoLkDZn0aJFNdtdunT53uM2fm7RokW0bdu2UeuSJKmpWLFiBddeey0ABxxwADvvvHOKK5K0sWbNmlFZWfmt/UOGDGHs2LHk5eWloCpJ/2vhwoVcdtllNG/evGZec0nBYYNVaW3lypU12/n5+d973MbPbXyOJEmqv0QiwY9+9CO+/PJLmjVrxj//+c9UlyTpf3Ts2JG1a9eyatUqVq9eDVTPq/yXv/yFbt26pbg6Seudd955lJeXc91119GzZ89UlyOpgTlFgCRJkr7TxRdfzLPPPgtAJBL5//buP7zm+/7/+OPkV0V+jFRQVYSqHyVIKzU/E4ZoaazmclFKrWuHdaPCWLfSrd0yVK2XVrGtdDZt/VzRBpclrC71o+ZXUFEJCW1SJYskQpJzvn/km/fnHU7Oeec4yUnX++26znW93uf9er3ez1fkj1xPr/fzpejoaB9HBOBWWVlZ+uqrr1RYWKjc3FwtWrRIR44cUWxsrF566SVfhwdA0po1a7Rt2zZ1795dL7zwgq/DAVALSLCiXgsLCzPaxcXF1fYz3zOPAQAAnklKSjJ2rL7++uuaPHmyjyMC4E7Tpk01c+ZMpaSkyGaz6Xe/+53xnyQAfCM3N1fTp0+Xv7+/Vq5cqYAAXiQG/heRYEW91qJFC6N98eLFavuZ75nHAACAmps9e7Zee+01SdKiRYs0ffp03wYEoEZiY2PVt29fSdKKFSt8HA3w3TZnzhx98803evbZZ9WxY0cVFhZW+dy8edPo6+w7AN8OJFhRr3Xq1El+fhW/pidOnKi2X+W95s2bc8AVAAB3YNasWVq4cKEkacGCBZo5c6aPIwLgicpDYM+ePevjSIDvtszMTEnSsmXLFBYWdtun8iBJScZ3s2fP9lW4ADxEghX1WsOGDdWnTx9JUkpKitM+DodD27dvlyQNGTKkzmIDAOB/TVJSkhYtWiSpIrk6a9YsH0cEwFPnzp2TRPksAADqAglW1HsTJ06UJKWmpmr//v233V+3bp3xB+RTTz1Vp7EBAPC/IikpqUpZAJKrQP1UXl4uh8Phss+uXbt04MABSVJcXFwdRAWgOmlpaXI4HNV+5s2bZ/St/G7JkiW+CxiAR0iwot6bOHGiunbtKofDoVGjRmnXrl2SJLvdrnXr1uknP/mJJGnYsGEaNGiQL0MFYHL16lVdvnzZ+NjtdkkVh9KZvy8sLPRxpADMNVcXL15MWQCgHsvOzlaPHj20fPlynTt3rkqyNTs7W8nJyUpMTJTD4VBERIRmzJjhw2gBAPhusDnc/fcnUA9kZWUpPj5eWVlZkipKB9jtdpWUlEiSevTooV27dqlx48Y+jBKAWZs2bXT+/Hm3/SZOnKhVq1bVfkAAnLpw4YJat24tSfLz81NkZKTL/klJSUpKSqqL0AA4kZWVpaioKOM6KChI4eHhun79uoqKiozvo6KitGHDBvXo0cMXYQKwaP78+Xr55Zclye3udAD1V4CvAwCsaNOmjY4dO6ZFixZp48aNyszMVGBgoB588EGNHTtWzz//vIKCgnwdJgAA3zqVu8sr27m5uS77s+sc8K0WLVpo3bp1SktL0/79+3Xp0iVdvnxZ/v7+atWqlbp166bExESNGzdOwcHBvg4XAIDvBHawAgAAAAAAAICHqMEKAAAAAAAAAB4iwQoAAAAAAAAAHiLBCgA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      "text/plain": [
       "<Figure size 1600x1000 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "num_bits_per_symbol = 2 # QPSK \n",
    "\n",
    "# initialize LLR source\n",
    "ga_source = GaussianPriorSource()\n",
    "\n",
    "def run_ber_ga(batch_size, ebno_db):\n",
    "    # calculate noise variance\n",
    "    no = ebnodb2no(ebno_db,\n",
    "                   num_bits_per_symbol=num_bits_per_symbol,\n",
    "                   coderate=k/n)    \n",
    "    \n",
    "    u = torch.zeros([batch_size, k], device=no.device) # only needed for ber calculations\n",
    "    \n",
    "    llr_ch = ga_source([batch_size, n], no) # generate LLRs directly\n",
    "    u_hat = decoder(llr_ch) # run LDPC decoder (incl. de-rate-matching)\n",
    "\n",
    "    return u, u_hat\n",
    "\n",
    "# and simulate the new curve\n",
    "ber_plot_allzero.simulate(run_ber_ga,\n",
    "                          ebno_dbs=np.arange(0, 5, 0.25), # simulation SNR,\n",
    "                          max_mc_iter=100,\n",
    "                          num_target_bit_errors=1000,\n",
    "                          legend=\"Gaussian Approximation of LLRs\",\n",
    "                          batch_size = 10000,\n",
    "                          soft_estimates=False,\n",
    "                          show_fig=True,\n",
    "                          forward_keyboard_interrupt=False,\n",
    "                          compile_mode=\"reduce-overhead\");"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### The Role of the Scrambler\n",
    "\n",
    "So far, we have seen that the all-zero codeword yields the same error-rates as any other sequence.\n",
    "Intuitively, the *all-zero codeword trick* generates a constant stream of *0*s at the input of the mapper.\n",
    "However, if the channel is not symmetric we need to ensure that we capture the *average* behavior of all possible symbols equally.\n",
    "Mathematically this symmetry condition can be expressed as $p(Y=y|c=0)=p(Y=-y|c=1)$\n",
    "\n",
    "As shown in the previous experiments, for QPSK both *bit-channels* have the same behavior but for 16-QAM systems this does not hold anymore and our simulated BER does not represent the average decoding performance of the original system. \n",
    "\n",
    "One possible solution is to scramble the all-zero codeword before transmission and descramble the received LLRs before decoding (i.e., flip the sign accordingly). \n",
    "This ensures that the mapper/demapper (+channel) operate on (pseudo-)random data, but from decoder's perspective the the all-zero codeword assumption is still valid. This avoids the need for an actual encoder. For further details, we refer to *i.i.d. channel adapters* in [9].\n",
    "\n",
    "**Note**: another example is that the recorded LLRs can be even used to evaluate different codes as the all-zero codeword is a valid codeword for all linear codes. Going one step further, one can even simulate codes of different rates with the same pre-recorded LLRs."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    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)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-02-14T00:15:42.183444Z",
     "iopub.status.busy": "2026-02-14T00:15:42.183150Z",
     "iopub.status.idle": "2026-02-14T00:15:42.186177Z",
     "shell.execute_reply": "2026-02-14T00:15:42.185352Z"
    }
   },
   "outputs": [],
   "source": [
    "# we generate a new plot\n",
    "ber_plot_allzero16qam = PlotBER(\"BER Performance for 64-QAM\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-02-14T00:15:42.188274Z",
     "iopub.status.busy": "2026-02-14T00:15:42.188150Z",
     "iopub.status.idle": "2026-02-14T00:15:55.229318Z",
     "shell.execute_reply": "2026-02-14T00:15:55.228319Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "EbNo [dB] |        BER |       BLER |  bit errors |    num bits | block errors |  num blocks | runtime [s] |    status\n",
      "---------------------------------------------------------------------------------------------------------------------------------------\n",
      "      0.0 | 2.4938e-01 | 1.0000e+00 |      149631 |      600000 |         1000 |        1000 |        10.2 |iter: 0/100\r",
      "      0.0 | 2.4938e-01 | 1.0000e+00 |      149631 |      600000 |         1000 |        1000 |        10.2 |reached target bit errors\n",
      "     0.25 | 2.4181e-01 | 1.0000e+00 |      145084 |      600000 |         1000 |        1000 |         0.0 |iter: 0/100\r",
      "     0.25 | 2.4181e-01 | 1.0000e+00 |      145084 |      600000 |         1000 |        1000 |         0.0 |reached target bit errors\n",
      "      0.5 | 2.3248e-01 | 1.0000e+00 |      139487 |      600000 |         1000 |        1000 |         0.0 |iter: 0/100\r",
      "      0.5 | 2.3248e-01 | 1.0000e+00 |      139487 |      600000 |         1000 |        1000 |         0.0 |reached target bit errors\n",
      "     0.75 | 2.2460e-01 | 1.0000e+00 |      134758 |      600000 |         1000 |        1000 |         0.0 |iter: 0/100\r",
      "     0.75 | 2.2460e-01 | 1.0000e+00 |      134758 |      600000 |         1000 |        1000 |         0.0 |reached target bit errors\n",
      "      1.0 | 2.1426e-01 | 1.0000e+00 |      128554 |      600000 |         1000 |        1000 |         0.0 |iter: 0/100\r",
      "      1.0 | 2.1426e-01 | 1.0000e+00 |      128554 |      600000 |         1000 |        1000 |         0.0 |reached target bit errors\n",
      "     1.25 | 2.0480e-01 | 1.0000e+00 |      122881 |      600000 |         1000 |        1000 |         0.0 |iter: 0/100\r",
      "     1.25 | 2.0480e-01 | 1.0000e+00 |      122881 |      600000 |         1000 |        1000 |         0.0 |reached target bit errors\n",
      "      1.5 | 1.9452e-01 | 1.0000e+00 |      116713 |      600000 |         1000 |        1000 |         0.0 |iter: 0/100\r",
      "      1.5 | 1.9452e-01 | 1.0000e+00 |      116713 |      600000 |         1000 |        1000 |         0.0 |reached target bit errors\n",
      "     1.75 | 1.8229e-01 | 1.0000e+00 |      109373 |      600000 |         1000 |        1000 |         0.0 |iter: 0/100\r",
      "     1.75 | 1.8229e-01 | 1.0000e+00 |      109373 |      600000 |         1000 |        1000 |         0.0 |reached target bit errors\n",
      "      2.0 | 1.6775e-01 | 1.0000e+00 |      100649 |      600000 |         1000 |        1000 |         0.0 |iter: 0/100\r",
      "      2.0 | 1.6775e-01 | 1.0000e+00 |      100649 |      600000 |         1000 |        1000 |         0.0 |reached target bit errors\n",
      "     2.25 | 1.5143e-01 | 9.9900e-01 |       90858 |      600000 |          999 |        1000 |         0.0 |iter: 0/100\r",
      "     2.25 | 1.5143e-01 | 9.9900e-01 |       90858 |      600000 |          999 |        1000 |         0.0 |reached target bit errors\n",
      "      2.5 | 1.2795e-01 | 9.8500e-01 |       76769 |      600000 |          985 |        1000 |         0.0 |iter: 0/100\r",
      "      2.5 | 1.2795e-01 | 9.8500e-01 |       76769 |      600000 |          985 |        1000 |         0.0 |reached target bit errors\n",
      "     2.75 | 9.8027e-02 | 9.2200e-01 |       58816 |      600000 |          922 |        1000 |         0.0 |iter: 0/100\r",
      "     2.75 | 9.8027e-02 | 9.2200e-01 |       58816 |      600000 |          922 |        1000 |         0.0 |reached target bit errors\n",
      "      3.0 | 6.3470e-02 | 7.6200e-01 |       38082 |      600000 |          762 |        1000 |         0.0 |iter: 0/100\r",
      "      3.0 | 6.3470e-02 | 7.6200e-01 |       38082 |      600000 |          762 |        1000 |         0.0 |reached target bit errors\n",
      "     3.25 | 3.3978e-02 | 5.0000e-01 |       20387 |      600000 |          500 |        1000 |         0.0 |iter: 0/100\r",
      "     3.25 | 3.3978e-02 | 5.0000e-01 |       20387 |      600000 |          500 |        1000 |         0.0 |reached target bit errors\n",
      "      3.5 | 1.4340e-02 | 2.6300e-01 |        8604 |      600000 |          263 |        1000 |         0.0 |iter: 0/100\r",
      "      3.5 | 1.4340e-02 | 2.6300e-01 |        8604 |      600000 |          263 |        1000 |         0.0 |reached target bit errors\n",
      "     3.75 | 3.6467e-03 | 1.0200e-01 |        2188 |      600000 |          102 |        1000 |         0.0 |iter: 0/100\r",
      "     3.75 | 3.6467e-03 | 1.0200e-01 |        2188 |      600000 |          102 |        1000 |         0.0 |reached target bit errors\n",
      "      4.0 | 7.4167e-04 | 3.1000e-02 |         445 |      600000 |           31 |        1000 |         0.0 |iter: 0/100\r",
      "      4.0 | 7.3000e-04 | 2.7000e-02 |         876 |     1200000 |           54 |        2000 |         0.0 |iter: 1/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "      4.0 | 7.3000e-04 | 2.6667e-02 |        1314 |     1800000 |           80 |        3000 |         0.0 |iter: 2/100\r",
      "      4.0 | 8.2417e-04 | 2.7500e-02 |        1978 |     2400000 |          110 |        4000 |         0.0 |iter: 3/100\r",
      "      4.0 | 8.3933e-04 | 2.8200e-02 |        2518 |     3000000 |          141 |        5000 |         0.1 |iter: 4/100\r",
      "      4.0 | 8.3933e-04 | 2.8200e-02 |        2518 |     3000000 |          141 |        5000 |         0.1 |reached target bit errors\n",
      "     4.25 | 4.3333e-05 | 2.0000e-03 |          26 |      600000 |            2 |        1000 |         0.0 |iter: 0/100\r",
      "     4.25 | 4.0833e-05 | 2.5000e-03 |          49 |     1200000 |            5 |        2000 |         0.0 |iter: 1/100\r",
      "     4.25 | 9.5000e-05 | 4.3333e-03 |         171 |     1800000 |           13 |        3000 |         0.0 |iter: 2/100\r",
      "     4.25 | 8.4583e-05 | 4.7500e-03 |         203 |     2400000 |           19 |        4000 |         0.0 |iter: 3/100\r",
      "     4.25 | 1.0867e-04 | 5.0000e-03 |         326 |     3000000 |           25 |        5000 |         0.1 |iter: 4/100\r",
      "     4.25 | 1.2111e-04 | 5.3333e-03 |         436 |     3600000 |           32 |        6000 |         0.1 |iter: 5/100\r",
      "     4.25 | 1.2929e-04 | 5.7143e-03 |         543 |     4200000 |           40 |        7000 |         0.1 |iter: 6/100\r",
      "     4.25 | 1.4396e-04 | 5.7500e-03 |         691 |     4800000 |           46 |        8000 |         0.1 |iter: 7/100\r",
      "     4.25 | 1.3926e-04 | 5.8889e-03 |         752 |     5400000 |           53 |        9000 |         0.1 |iter: 8/100\r",
      "     4.25 | 1.6017e-04 | 6.0000e-03 |         961 |     6000000 |           60 |       10000 |         0.1 |iter: 9/100\r",
      "     4.25 | 1.7288e-04 | 6.4545e-03 |        1141 |     6600000 |           71 |       11000 |         0.1 |iter: 10/100\r",
      "     4.25 | 1.7556e-04 | 6.6667e-03 |        1264 |     7200000 |           80 |       12000 |         0.1 |iter: 11/100\r",
      "     4.25 | 1.8846e-04 | 6.7692e-03 |        1470 |     7800000 |           88 |       13000 |         0.1 |iter: 12/100\r",
      "     4.25 | 1.9333e-04 | 6.7857e-03 |        1624 |     8400000 |           95 |       14000 |         0.1 |iter: 13/100\r",
      "     4.25 | 1.8400e-04 | 6.7333e-03 |        1656 |     9000000 |          101 |       15000 |         0.2 |iter: 14/100\r",
      "     4.25 | 1.9583e-04 | 6.8125e-03 |        1880 |     9600000 |          109 |       16000 |         0.2 |iter: 15/100\r",
      "     4.25 | 2.0108e-04 | 7.0000e-03 |        2051 |    10200000 |          119 |       17000 |         0.2 |iter: 16/100\r",
      "     4.25 | 2.0108e-04 | 7.0000e-03 |        2051 |    10200000 |          119 |       17000 |         0.2 |reached target bit errors\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "      4.5 | 1.8333e-05 | 1.0000e-03 |          11 |      600000 |            1 |        1000 |         0.0 |iter: 0/100\r",
      "      4.5 | 1.3333e-05 | 1.5000e-03 |          16 |     1200000 |            3 |        2000 |         0.0 |iter: 1/100\r",
      "      4.5 | 8.8889e-06 | 1.0000e-03 |          16 |     1800000 |            3 |        3000 |         0.0 |iter: 2/100\r",
      "      4.5 | 6.6667e-06 | 7.5000e-04 |          16 |     2400000 |            3 |        4000 |         0.0 |iter: 3/100\r",
      "      4.5 | 5.3333e-06 | 6.0000e-04 |          16 |     3000000 |            3 |        5000 |         0.1 |iter: 4/100\r",
      "      4.5 | 5.0000e-06 | 6.6667e-04 |          18 |     3600000 |            4 |        6000 |         0.1 |iter: 5/100\r",
      "      4.5 | 9.5238e-06 | 7.1429e-04 |          40 |     4200000 |            5 |        7000 |         0.1 |iter: 6/100\r",
      "      4.5 | 1.8958e-05 | 1.0000e-03 |          91 |     4800000 |            8 |        8000 |         0.1 |iter: 7/100\r",
      "      4.5 | 2.1852e-05 | 1.1111e-03 |         118 |     5400000 |           10 |        9000 |         0.1 |iter: 8/100\r",
      "      4.5 | 1.9667e-05 | 1.0000e-03 |         118 |     6000000 |           10 |       10000 |         0.1 |iter: 9/100\r",
      "      4.5 | 1.8182e-05 | 1.0909e-03 |         120 |     6600000 |           12 |       11000 |         0.1 |iter: 10/100\r",
      "      4.5 | 1.6806e-05 | 1.0833e-03 |         121 |     7200000 |           13 |       12000 |         0.1 |iter: 11/100\r",
      "      4.5 | 2.8846e-05 | 1.2308e-03 |         225 |     7800000 |           16 |       13000 |         0.1 |iter: 12/100\r",
      "      4.5 | 2.6786e-05 | 1.1429e-03 |         225 |     8400000 |           16 |       14000 |         0.1 |iter: 13/100\r",
      "      4.5 | 3.0111e-05 | 1.2667e-03 |         271 |     9000000 |           19 |       15000 |         0.2 |iter: 14/100\r",
      "      4.5 | 2.9167e-05 | 1.2500e-03 |         280 |     9600000 |           20 |       16000 |         0.2 |iter: 15/100\r",
      "      4.5 | 2.8333e-05 | 1.2353e-03 |         289 |    10200000 |           21 |       17000 |         0.2 |iter: 16/100\r",
      "      4.5 | 2.6759e-05 | 1.1667e-03 |         289 |    10800000 |           21 |       18000 |         0.2 |iter: 17/100\r",
      "      4.5 | 2.6930e-05 | 1.2632e-03 |         307 |    11400000 |           24 |       19000 |         0.2 |iter: 18/100\r",
      "      4.5 | 2.5583e-05 | 1.2000e-03 |         307 |    12000000 |           24 |       20000 |         0.2 |iter: 19/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "      4.5 | 2.5079e-05 | 1.3333e-03 |         316 |    12600000 |           28 |       21000 |         0.2 |iter: 20/100\r",
      "      4.5 | 2.3939e-05 | 1.2727e-03 |         316 |    13200000 |           28 |       22000 |         0.2 |iter: 21/100\r",
      "      4.5 | 2.3116e-05 | 1.2609e-03 |         319 |    13800000 |           29 |       23000 |         0.2 |iter: 22/100\r",
      "      4.5 | 2.2222e-05 | 1.2500e-03 |         320 |    14400000 |           30 |       24000 |         0.3 |iter: 23/100\r",
      "      4.5 | 2.5867e-05 | 1.2400e-03 |         388 |    15000000 |           31 |       25000 |         0.3 |iter: 24/100\r",
      "      4.5 | 3.0064e-05 | 1.2692e-03 |         469 |    15600000 |           33 |       26000 |         0.3 |iter: 25/100\r",
      "      4.5 | 2.9012e-05 | 1.2593e-03 |         470 |    16200000 |           34 |       27000 |         0.3 |iter: 26/100\r",
      "      4.5 | 2.7976e-05 | 1.2143e-03 |         470 |    16800000 |           34 |       28000 |         0.3 |iter: 27/100\r",
      "      4.5 | 3.0632e-05 | 1.2414e-03 |         533 |    17400000 |           36 |       29000 |         0.3 |iter: 28/100\r",
      "      4.5 | 2.9611e-05 | 1.2000e-03 |         533 |    18000000 |           36 |       30000 |         0.3 |iter: 29/100\r",
      "      4.5 | 2.8978e-05 | 1.1935e-03 |         539 |    18600000 |           37 |       31000 |         0.3 |iter: 30/100\r",
      "      4.5 | 2.8073e-05 | 1.1562e-03 |         539 |    19200000 |           37 |       32000 |         0.3 |iter: 31/100\r",
      "      4.5 | 2.7323e-05 | 1.1515e-03 |         541 |    19800000 |           38 |       33000 |         0.3 |iter: 32/100\r",
      "      4.5 | 2.6618e-05 | 1.1471e-03 |         543 |    20400000 |           39 |       34000 |         0.4 |iter: 33/100\r",
      "      4.5 | 2.5857e-05 | 1.1143e-03 |         543 |    21000000 |           39 |       35000 |         0.4 |iter: 34/100\r",
      "      4.5 | 2.6806e-05 | 1.1111e-03 |         579 |    21600000 |           40 |       36000 |         0.4 |iter: 35/100\r",
      "      4.5 | 2.7793e-05 | 1.1351e-03 |         617 |    22200000 |           42 |       37000 |         0.4 |iter: 36/100\r",
      "      4.5 | 2.7061e-05 | 1.1053e-03 |         617 |    22800000 |           42 |       38000 |         0.4 |iter: 37/100\r",
      "      4.5 | 2.9915e-05 | 1.1026e-03 |         700 |    23400000 |           43 |       39000 |         0.4 |iter: 38/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "      4.5 | 2.9167e-05 | 1.0750e-03 |         700 |    24000000 |           43 |       40000 |         0.4 |iter: 39/100\r",
      "      4.5 | 2.8455e-05 | 1.0488e-03 |         700 |    24600000 |           43 |       41000 |         0.4 |iter: 40/100\r",
      "      4.5 | 2.7778e-05 | 1.0238e-03 |         700 |    25200000 |           43 |       42000 |         0.4 |iter: 41/100\r",
      "      4.5 | 2.7248e-05 | 1.0233e-03 |         703 |    25800000 |           44 |       43000 |         0.5 |iter: 42/100\r",
      "      4.5 | 2.6932e-05 | 1.0227e-03 |         711 |    26400000 |           45 |       44000 |         0.5 |iter: 43/100\r",
      "      4.5 | 2.6667e-05 | 1.0222e-03 |         720 |    27000000 |           46 |       45000 |         0.5 |iter: 44/100\r",
      "      4.5 | 2.9601e-05 | 1.0435e-03 |         817 |    27600000 |           48 |       46000 |         0.5 |iter: 45/100\r",
      "      4.5 | 2.9078e-05 | 1.0426e-03 |         820 |    28200000 |           49 |       47000 |         0.5 |iter: 46/100\r",
      "      4.5 | 2.8472e-05 | 1.0208e-03 |         820 |    28800000 |           49 |       48000 |         0.5 |iter: 47/100\r",
      "      4.5 | 3.0680e-05 | 1.0204e-03 |         902 |    29400000 |           50 |       49000 |         0.5 |iter: 48/100\r",
      "      4.5 | 3.2900e-05 | 1.1000e-03 |         987 |    30000000 |           55 |       50000 |         0.5 |iter: 49/100\r",
      "      4.5 | 3.2876e-05 | 1.0980e-03 |        1006 |    30600000 |           56 |       51000 |         0.5 |iter: 50/100\r",
      "      4.5 | 3.2244e-05 | 1.0769e-03 |        1006 |    31200000 |           56 |       52000 |         0.6 |iter: 51/100\r",
      "      4.5 | 3.3491e-05 | 1.0943e-03 |        1065 |    31800000 |           58 |       53000 |         0.6 |iter: 52/100\r",
      "      4.5 | 3.4228e-05 | 1.1296e-03 |        1109 |    32400000 |           61 |       54000 |         0.6 |iter: 53/100\r",
      "      4.5 | 3.3606e-05 | 1.1091e-03 |        1109 |    33000000 |           61 |       55000 |         0.6 |iter: 54/100\r",
      "      4.5 | 3.3006e-05 | 1.0893e-03 |        1109 |    33600000 |           61 |       56000 |         0.6 |iter: 55/100\r",
      "      4.5 | 3.2544e-05 | 1.0877e-03 |        1113 |    34200000 |           62 |       57000 |         0.6 |iter: 56/100\r",
      "      4.5 | 3.2040e-05 | 1.0862e-03 |        1115 |    34800000 |           63 |       58000 |         0.6 |iter: 57/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "      4.5 | 3.1723e-05 | 1.1017e-03 |        1123 |    35400000 |           65 |       59000 |         0.6 |iter: 58/100\r",
      "      4.5 | 3.2333e-05 | 1.1167e-03 |        1164 |    36000000 |           67 |       60000 |         0.6 |iter: 59/100\r",
      "      4.5 | 3.1885e-05 | 1.1148e-03 |        1167 |    36600000 |           68 |       61000 |         0.6 |iter: 60/100\r",
      "      4.5 | 3.3871e-05 | 1.1452e-03 |        1260 |    37200000 |           71 |       62000 |         0.7 |iter: 61/100\r",
      "      4.5 | 3.3386e-05 | 1.1429e-03 |        1262 |    37800000 |           72 |       63000 |         0.7 |iter: 62/100\r",
      "      4.5 | 3.4505e-05 | 1.1406e-03 |        1325 |    38400000 |           73 |       64000 |         0.7 |iter: 63/100\r",
      "      4.5 | 3.4590e-05 | 1.1538e-03 |        1349 |    39000000 |           75 |       65000 |         0.7 |iter: 64/100\r",
      "      4.5 | 3.4949e-05 | 1.1667e-03 |        1384 |    39600000 |           77 |       66000 |         0.7 |iter: 65/100\r",
      "      4.5 | 3.4801e-05 | 1.1791e-03 |        1399 |    40200000 |           79 |       67000 |         0.7 |iter: 66/100\r",
      "      4.5 | 3.8971e-05 | 1.1912e-03 |        1590 |    40800000 |           81 |       68000 |         0.7 |iter: 67/100\r",
      "      4.5 | 3.9082e-05 | 1.1884e-03 |        1618 |    41400000 |           82 |       69000 |         0.7 |iter: 68/100\r",
      "      4.5 | 3.8524e-05 | 1.1714e-03 |        1618 |    42000000 |           82 |       70000 |         0.7 |iter: 69/100\r",
      "      4.5 | 3.8005e-05 | 1.1690e-03 |        1619 |    42600000 |           83 |       71000 |         0.8 |iter: 70/100\r",
      "      4.5 | 3.7500e-05 | 1.1667e-03 |        1620 |    43200000 |           84 |       72000 |         0.8 |iter: 71/100\r",
      "      4.5 | 3.7078e-05 | 1.1781e-03 |        1624 |    43800000 |           86 |       73000 |         0.8 |iter: 72/100\r",
      "      4.5 | 3.6824e-05 | 1.1892e-03 |        1635 |    44400000 |           88 |       74000 |         0.8 |iter: 73/100\r",
      "      4.5 | 3.6333e-05 | 1.1733e-03 |        1635 |    45000000 |           88 |       75000 |         0.8 |iter: 74/100\r",
      "      4.5 | 3.6053e-05 | 1.1711e-03 |        1644 |    45600000 |           89 |       76000 |         0.8 |iter: 75/100\r",
      "      4.5 | 3.5714e-05 | 1.1688e-03 |        1650 |    46200000 |           90 |       77000 |         0.8 |iter: 76/100\r",
      "      4.5 | 3.5256e-05 | 1.1538e-03 |        1650 |    46800000 |           90 |       78000 |         0.8 |iter: 77/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "      4.5 | 3.4810e-05 | 1.1392e-03 |        1650 |    47400000 |           90 |       79000 |         0.8 |iter: 78/100\r",
      "      4.5 | 3.4625e-05 | 1.1625e-03 |        1662 |    48000000 |           93 |       80000 |         0.8 |iter: 79/100\r",
      "      4.5 | 3.4198e-05 | 1.1481e-03 |        1662 |    48600000 |           93 |       81000 |         0.9 |iter: 80/100\r",
      "      4.5 | 3.3780e-05 | 1.1341e-03 |        1662 |    49200000 |           93 |       82000 |         0.9 |iter: 81/100\r",
      "      4.5 | 3.3373e-05 | 1.1205e-03 |        1662 |    49800000 |           93 |       83000 |         0.9 |iter: 82/100\r",
      "      4.5 | 3.2976e-05 | 1.1071e-03 |        1662 |    50400000 |           93 |       84000 |         0.9 |iter: 83/100\r",
      "      4.5 | 3.3314e-05 | 1.1176e-03 |        1699 |    51000000 |           95 |       85000 |         0.9 |iter: 84/100\r",
      "      4.5 | 3.3605e-05 | 1.1279e-03 |        1734 |    51600000 |           97 |       86000 |         0.9 |iter: 85/100\r",
      "      4.5 | 3.3218e-05 | 1.1149e-03 |        1734 |    52200000 |           97 |       87000 |         0.9 |iter: 86/100\r",
      "      4.5 | 3.2841e-05 | 1.1023e-03 |        1734 |    52800000 |           97 |       88000 |         0.9 |iter: 87/100\r",
      "      4.5 | 3.4457e-05 | 1.1461e-03 |        1840 |    53400000 |          102 |       89000 |         0.9 |iter: 88/100\r",
      "      4.5 | 3.4074e-05 | 1.1333e-03 |        1840 |    54000000 |          102 |       90000 |         1.0 |iter: 89/100\r",
      "      4.5 | 3.3791e-05 | 1.1319e-03 |        1845 |    54600000 |          103 |       91000 |         1.0 |iter: 90/100\r",
      "      4.5 | 3.3533e-05 | 1.1304e-03 |        1851 |    55200000 |          104 |       92000 |         1.0 |iter: 91/100\r",
      "      4.5 | 3.3584e-05 | 1.1398e-03 |        1874 |    55800000 |          106 |       93000 |         1.0 |iter: 92/100\r",
      "      4.5 | 3.3245e-05 | 1.1383e-03 |        1875 |    56400000 |          107 |       94000 |         1.0 |iter: 93/100\r",
      "      4.5 | 3.2895e-05 | 1.1263e-03 |        1875 |    57000000 |          107 |       95000 |         1.0 |iter: 94/100\r",
      "      4.5 | 3.2552e-05 | 1.1146e-03 |        1875 |    57600000 |          107 |       96000 |         1.0 |iter: 95/100\r",
      "      4.5 | 3.3041e-05 | 1.1134e-03 |        1923 |    58200000 |          108 |       97000 |         1.0 |iter: 96/100\r",
      "      4.5 | 3.2721e-05 | 1.1122e-03 |        1924 |    58800000 |          109 |       98000 |         1.0 |iter: 97/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "      4.5 | 3.2593e-05 | 1.1212e-03 |        1936 |    59400000 |          111 |       99000 |         1.0 |iter: 98/100\r",
      "      4.5 | 3.2333e-05 | 1.1200e-03 |        1940 |    60000000 |          112 |      100000 |         1.1 |iter: 99/100\r",
      "      4.5 | 3.2333e-05 | 1.1200e-03 |        1940 |    60000000 |          112 |      100000 |         1.1 |reached max iterations\n",
      "     4.75 | 0.0000e+00 | 0.0000e+00 |           0 |      600000 |            0 |        1000 |         0.0 |iter: 0/100\r",
      "     4.75 | 8.3333e-07 | 5.0000e-04 |           1 |     1200000 |            1 |        2000 |         0.0 |iter: 1/100\r",
      "     4.75 | 5.5556e-07 | 3.3333e-04 |           1 |     1800000 |            1 |        3000 |         0.0 |iter: 2/100\r",
      "     4.75 | 4.1667e-07 | 2.5000e-04 |           1 |     2400000 |            1 |        4000 |         0.0 |iter: 3/100\r",
      "     4.75 | 3.3333e-07 | 2.0000e-04 |           1 |     3000000 |            1 |        5000 |         0.1 |iter: 4/100\r",
      "     4.75 | 2.7778e-07 | 1.6667e-04 |           1 |     3600000 |            1 |        6000 |         0.1 |iter: 5/100\r",
      "     4.75 | 3.8095e-06 | 2.8571e-04 |          16 |     4200000 |            2 |        7000 |         0.1 |iter: 6/100\r",
      "     4.75 | 4.1667e-06 | 3.7500e-04 |          20 |     4800000 |            3 |        8000 |         0.1 |iter: 7/100\r",
      "     4.75 | 3.7037e-06 | 3.3333e-04 |          20 |     5400000 |            3 |        9000 |         0.1 |iter: 8/100\r",
      "     4.75 | 3.3333e-06 | 3.0000e-04 |          20 |     6000000 |            3 |       10000 |         0.1 |iter: 9/100\r",
      "     4.75 | 3.0303e-06 | 2.7273e-04 |          20 |     6600000 |            3 |       11000 |         0.1 |iter: 10/100\r",
      "     4.75 | 2.7778e-06 | 2.5000e-04 |          20 |     7200000 |            3 |       12000 |         0.1 |iter: 11/100\r",
      "     4.75 | 2.5641e-06 | 2.3077e-04 |          20 |     7800000 |            3 |       13000 |         0.1 |iter: 12/100\r",
      "     4.75 | 2.3810e-06 | 2.1429e-04 |          20 |     8400000 |            3 |       14000 |         0.1 |iter: 13/100\r",
      "     4.75 | 2.2222e-06 | 2.0000e-04 |          20 |     9000000 |            3 |       15000 |         0.2 |iter: 14/100\r",
      "     4.75 | 2.0833e-06 | 1.8750e-04 |          20 |     9600000 |            3 |       16000 |         0.2 |iter: 15/100\r",
      "     4.75 | 1.9608e-06 | 1.7647e-04 |          20 |    10200000 |            3 |       17000 |         0.2 |iter: 16/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     4.75 | 1.8519e-06 | 1.6667e-04 |          20 |    10800000 |            3 |       18000 |         0.2 |iter: 17/100\r",
      "     4.75 | 2.9825e-06 | 2.1053e-04 |          34 |    11400000 |            4 |       19000 |         0.2 |iter: 18/100\r",
      "     4.75 | 2.8333e-06 | 2.0000e-04 |          34 |    12000000 |            4 |       20000 |         0.2 |iter: 19/100\r",
      "     4.75 | 2.6984e-06 | 1.9048e-04 |          34 |    12600000 |            4 |       21000 |         0.2 |iter: 20/100\r",
      "     4.75 | 2.5758e-06 | 1.8182e-04 |          34 |    13200000 |            4 |       22000 |         0.2 |iter: 21/100\r",
      "     4.75 | 2.4638e-06 | 1.7391e-04 |          34 |    13800000 |            4 |       23000 |         0.2 |iter: 22/100\r",
      "     4.75 | 2.3611e-06 | 1.6667e-04 |          34 |    14400000 |            4 |       24000 |         0.3 |iter: 23/100\r",
      "     4.75 | 2.2667e-06 | 1.6000e-04 |          34 |    15000000 |            4 |       25000 |         0.3 |iter: 24/100\r",
      "     4.75 | 2.1795e-06 | 1.5385e-04 |          34 |    15600000 |            4 |       26000 |         0.3 |iter: 25/100\r",
      "     4.75 | 2.0988e-06 | 1.4815e-04 |          34 |    16200000 |            4 |       27000 |         0.3 |iter: 26/100\r",
      "     4.75 | 2.0238e-06 | 1.4286e-04 |          34 |    16800000 |            4 |       28000 |         0.3 |iter: 27/100\r",
      "     4.75 | 1.9540e-06 | 1.3793e-04 |          34 |    17400000 |            4 |       29000 |         0.3 |iter: 28/100\r",
      "     4.75 | 1.8889e-06 | 1.3333e-04 |          34 |    18000000 |            4 |       30000 |         0.3 |iter: 29/100\r",
      "     4.75 | 1.8280e-06 | 1.2903e-04 |          34 |    18600000 |            4 |       31000 |         0.3 |iter: 30/100\r",
      "     4.75 | 1.7708e-06 | 1.2500e-04 |          34 |    19200000 |            4 |       32000 |         0.3 |iter: 31/100\r",
      "     4.75 | 1.7172e-06 | 1.2121e-04 |          34 |    19800000 |            4 |       33000 |         0.3 |iter: 32/100\r",
      "     4.75 | 1.6667e-06 | 1.1765e-04 |          34 |    20400000 |            4 |       34000 |         0.4 |iter: 33/100\r",
      "     4.75 | 1.6667e-06 | 1.4286e-04 |          35 |    21000000 |            5 |       35000 |         0.4 |iter: 34/100\r",
      "     4.75 | 1.6204e-06 | 1.3889e-04 |          35 |    21600000 |            5 |       36000 |         0.4 |iter: 35/100\r",
      "     4.75 | 1.5766e-06 | 1.3514e-04 |          35 |    22200000 |            5 |       37000 |         0.4 |iter: 36/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     4.75 | 1.5351e-06 | 1.3158e-04 |          35 |    22800000 |            5 |       38000 |         0.4 |iter: 37/100\r",
      "     4.75 | 1.4957e-06 | 1.2821e-04 |          35 |    23400000 |            5 |       39000 |         0.4 |iter: 38/100\r",
      "     4.75 | 1.4583e-06 | 1.2500e-04 |          35 |    24000000 |            5 |       40000 |         0.4 |iter: 39/100\r",
      "     4.75 | 1.4228e-06 | 1.2195e-04 |          35 |    24600000 |            5 |       41000 |         0.4 |iter: 40/100\r",
      "     4.75 | 1.3889e-06 | 1.1905e-04 |          35 |    25200000 |            5 |       42000 |         0.4 |iter: 41/100\r",
      "     4.75 | 1.3566e-06 | 1.1628e-04 |          35 |    25800000 |            5 |       43000 |         0.5 |iter: 42/100\r",
      "     4.75 | 1.3258e-06 | 1.1364e-04 |          35 |    26400000 |            5 |       44000 |         0.5 |iter: 43/100\r",
      "     4.75 | 1.2963e-06 | 1.1111e-04 |          35 |    27000000 |            5 |       45000 |         0.5 |iter: 44/100\r",
      "     4.75 | 1.8116e-06 | 1.3043e-04 |          50 |    27600000 |            6 |       46000 |         0.5 |iter: 45/100\r",
      "     4.75 | 1.7730e-06 | 1.2766e-04 |          50 |    28200000 |            6 |       47000 |         0.5 |iter: 46/100\r",
      "     4.75 | 1.7361e-06 | 1.2500e-04 |          50 |    28800000 |            6 |       48000 |         0.5 |iter: 47/100\r",
      "     4.75 | 1.7007e-06 | 1.2245e-04 |          50 |    29400000 |            6 |       49000 |         0.5 |iter: 48/100\r",
      "     4.75 | 1.6667e-06 | 1.2000e-04 |          50 |    30000000 |            6 |       50000 |         0.5 |iter: 49/100\r",
      "     4.75 | 1.6667e-06 | 1.3725e-04 |          51 |    30600000 |            7 |       51000 |         0.5 |iter: 50/100\r",
      "     4.75 | 1.6346e-06 | 1.3462e-04 |          51 |    31200000 |            7 |       52000 |         0.5 |iter: 51/100\r",
      "     4.75 | 1.6038e-06 | 1.3208e-04 |          51 |    31800000 |            7 |       53000 |         0.6 |iter: 52/100\r",
      "     4.75 | 1.5741e-06 | 1.2963e-04 |          51 |    32400000 |            7 |       54000 |         0.6 |iter: 53/100\r",
      "     4.75 | 1.5455e-06 | 1.2727e-04 |          51 |    33000000 |            7 |       55000 |         0.6 |iter: 54/100\r",
      "     4.75 | 1.5179e-06 | 1.2500e-04 |          51 |    33600000 |            7 |       56000 |         0.6 |iter: 55/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     4.75 | 1.4912e-06 | 1.2281e-04 |          51 |    34200000 |            7 |       57000 |         0.6 |iter: 56/100\r",
      "     4.75 | 1.4655e-06 | 1.2069e-04 |          51 |    34800000 |            7 |       58000 |         0.6 |iter: 57/100\r",
      "     4.75 | 1.6667e-06 | 1.3559e-04 |          59 |    35400000 |            8 |       59000 |         0.6 |iter: 58/100\r",
      "     4.75 | 1.6389e-06 | 1.3333e-04 |          59 |    36000000 |            8 |       60000 |         0.6 |iter: 59/100\r",
      "     4.75 | 1.6120e-06 | 1.3115e-04 |          59 |    36600000 |            8 |       61000 |         0.6 |iter: 60/100\r",
      "     4.75 | 1.5860e-06 | 1.2903e-04 |          59 |    37200000 |            8 |       62000 |         0.7 |iter: 61/100\r",
      "     4.75 | 1.5608e-06 | 1.2698e-04 |          59 |    37800000 |            8 |       63000 |         0.7 |iter: 62/100\r",
      "     4.75 | 1.5625e-06 | 1.4062e-04 |          60 |    38400000 |            9 |       64000 |         0.7 |iter: 63/100\r",
      "     4.75 | 1.5385e-06 | 1.3846e-04 |          60 |    39000000 |            9 |       65000 |         0.7 |iter: 64/100\r",
      "     4.75 | 1.5152e-06 | 1.3636e-04 |          60 |    39600000 |            9 |       66000 |         0.7 |iter: 65/100\r",
      "     4.75 | 1.4925e-06 | 1.3433e-04 |          60 |    40200000 |            9 |       67000 |         0.7 |iter: 66/100\r",
      "     4.75 | 1.6422e-06 | 1.4706e-04 |          67 |    40800000 |           10 |       68000 |         0.7 |iter: 67/100\r",
      "     4.75 | 1.6184e-06 | 1.4493e-04 |          67 |    41400000 |           10 |       69000 |         0.7 |iter: 68/100\r",
      "     4.75 | 1.5952e-06 | 1.4286e-04 |          67 |    42000000 |           10 |       70000 |         0.7 |iter: 69/100\r",
      "     4.75 | 1.5728e-06 | 1.4085e-04 |          67 |    42600000 |           10 |       71000 |         0.8 |iter: 70/100\r",
      "     4.75 | 1.5509e-06 | 1.3889e-04 |          67 |    43200000 |           10 |       72000 |         0.8 |iter: 71/100\r",
      "     4.75 | 1.5297e-06 | 1.3699e-04 |          67 |    43800000 |           10 |       73000 |         0.8 |iter: 72/100\r",
      "     4.75 | 1.5090e-06 | 1.3514e-04 |          67 |    44400000 |           10 |       74000 |         0.8 |iter: 73/100\r",
      "     4.75 | 1.4889e-06 | 1.3333e-04 |          67 |    45000000 |           10 |       75000 |         0.8 |iter: 74/100\r",
      "     4.75 | 1.4693e-06 | 1.3158e-04 |          67 |    45600000 |           10 |       76000 |         0.8 |iter: 75/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     4.75 | 1.4502e-06 | 1.2987e-04 |          67 |    46200000 |           10 |       77000 |         0.8 |iter: 76/100\r",
      "     4.75 | 1.4744e-06 | 1.4103e-04 |          69 |    46800000 |           11 |       78000 |         0.8 |iter: 77/100\r",
      "     4.75 | 1.4557e-06 | 1.3924e-04 |          69 |    47400000 |           11 |       79000 |         0.8 |iter: 78/100\r",
      "     4.75 | 1.4375e-06 | 1.3750e-04 |          69 |    48000000 |           11 |       80000 |         0.8 |iter: 79/100\r",
      "     4.75 | 1.4198e-06 | 1.3580e-04 |          69 |    48600000 |           11 |       81000 |         0.9 |iter: 80/100\r",
      "     4.75 | 1.4024e-06 | 1.3415e-04 |          69 |    49200000 |           11 |       82000 |         0.9 |iter: 81/100\r",
      "     4.75 | 1.3855e-06 | 1.3253e-04 |          69 |    49800000 |           11 |       83000 |         0.9 |iter: 82/100\r",
      "     4.75 | 1.4683e-06 | 1.4286e-04 |          74 |    50400000 |           12 |       84000 |         0.9 |iter: 83/100\r",
      "     4.75 | 1.4510e-06 | 1.4118e-04 |          74 |    51000000 |           12 |       85000 |         0.9 |iter: 84/100\r",
      "     4.75 | 1.4341e-06 | 1.3953e-04 |          74 |    51600000 |           12 |       86000 |         0.9 |iter: 85/100\r",
      "     4.75 | 1.4176e-06 | 1.3793e-04 |          74 |    52200000 |           12 |       87000 |         0.9 |iter: 86/100\r",
      "     4.75 | 1.4015e-06 | 1.3636e-04 |          74 |    52800000 |           12 |       88000 |         0.9 |iter: 87/100\r",
      "     4.75 | 1.3858e-06 | 1.3483e-04 |          74 |    53400000 |           12 |       89000 |         0.9 |iter: 88/100\r",
      "     4.75 | 1.3704e-06 | 1.3333e-04 |          74 |    54000000 |           12 |       90000 |         1.0 |iter: 89/100\r",
      "     4.75 | 1.4835e-06 | 1.4286e-04 |          81 |    54600000 |           13 |       91000 |         1.0 |iter: 90/100\r",
      "     4.75 | 1.4674e-06 | 1.4130e-04 |          81 |    55200000 |           13 |       92000 |         1.0 |iter: 91/100\r",
      "     4.75 | 1.4516e-06 | 1.3978e-04 |          81 |    55800000 |           13 |       93000 |         1.0 |iter: 92/100\r",
      "     4.75 | 1.4362e-06 | 1.3830e-04 |          81 |    56400000 |           13 |       94000 |         1.0 |iter: 93/100\r",
      "     4.75 | 1.4211e-06 | 1.3684e-04 |          81 |    57000000 |           13 |       95000 |         1.0 |iter: 94/100\r",
      "     4.75 | 1.4063e-06 | 1.3542e-04 |          81 |    57600000 |           13 |       96000 |         1.0 |iter: 95/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     4.75 | 1.3918e-06 | 1.3402e-04 |          81 |    58200000 |           13 |       97000 |         1.0 |iter: 96/100\r",
      "     4.75 | 1.7857e-06 | 1.5306e-04 |         105 |    58800000 |           15 |       98000 |         1.0 |iter: 97/100\r",
      "     4.75 | 2.0707e-06 | 1.6162e-04 |         123 |    59400000 |           16 |       99000 |         1.0 |iter: 98/100\r",
      "     4.75 | 2.0500e-06 | 1.6000e-04 |         123 |    60000000 |           16 |      100000 |         1.1 |iter: 99/100\r",
      "     4.75 | 2.0500e-06 | 1.6000e-04 |         123 |    60000000 |           16 |      100000 |         1.1 |reached max iterations\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1600x1000 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# simulate a new baseline for 16-QAM\n",
    "model_baseline_16 = LDPC_QAM_AWGN(k,\n",
    "                                  n,\n",
    "                                  num_bits_per_symbol=4,\n",
    "                                  use_allzero=False, # baseline without all-zero\n",
    "                                  use_scrambler=False)\n",
    "\n",
    "\n",
    "# and simulate the new curve\n",
    "# Hint: as the model is callable, we can directly pass it to the \n",
    "# Monte Carlo simulation\n",
    "ber_plot_allzero16qam.simulate(model_baseline_16,\n",
    "                               ebno_dbs=np.arange(0, 5, 0.25),\n",
    "                               legend=\"Baseline 16-QAM\",\n",
    "                               max_mc_iter=100,\n",
    "                               num_target_bit_errors=2000,\n",
    "                               batch_size=1000,\n",
    "                               soft_estimates=False,\n",
    "                               show_fig=True,\n",
    "                               forward_keyboard_interrupt=False,\n",
    "                               compile_mode=\"reduce-overhead\");"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We now apply the *all-zero trick* as above and simulate ther BER performance without scrambling."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-02-14T00:15:55.231751Z",
     "iopub.status.busy": "2026-02-14T00:15:55.231614Z",
     "iopub.status.idle": "2026-02-14T00:16:03.933676Z",
     "shell.execute_reply": "2026-02-14T00:16:03.932759Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "EbNo [dB] |        BER |       BLER |  bit errors |    num bits | block errors |  num blocks | runtime [s] |    status\n",
      "---------------------------------------------------------------------------------------------------------------------------------------\n",
      "      0.0 | 3.0300e-01 | 1.0000e+00 |      181798 |      600000 |         1000 |        1000 |         8.2 |iter: 0/100\r",
      "      0.0 | 3.0300e-01 | 1.0000e+00 |      181798 |      600000 |         1000 |        1000 |         8.2 |reached target bit errors\n",
      "     0.25 | 2.9718e-01 | 1.0000e+00 |      178310 |      600000 |         1000 |        1000 |         0.0 |iter: 0/100\r",
      "     0.25 | 2.9718e-01 | 1.0000e+00 |      178310 |      600000 |         1000 |        1000 |         0.0 |reached target bit errors\n",
      "      0.5 | 2.9247e-01 | 1.0000e+00 |      175482 |      600000 |         1000 |        1000 |         0.0 |iter: 0/100\r",
      "      0.5 | 2.9247e-01 | 1.0000e+00 |      175482 |      600000 |         1000 |        1000 |         0.0 |reached target bit errors\n",
      "     0.75 | 2.8563e-01 | 1.0000e+00 |      171380 |      600000 |         1000 |        1000 |         0.0 |iter: 0/100\r",
      "     0.75 | 2.8563e-01 | 1.0000e+00 |      171380 |      600000 |         1000 |        1000 |         0.0 |reached target bit errors\n",
      "      1.0 | 2.8079e-01 | 1.0000e+00 |      168472 |      600000 |         1000 |        1000 |         0.0 |iter: 0/100\r",
      "      1.0 | 2.8079e-01 | 1.0000e+00 |      168472 |      600000 |         1000 |        1000 |         0.0 |reached target bit errors\n",
      "     1.25 | 2.7437e-01 | 1.0000e+00 |      164620 |      600000 |         1000 |        1000 |         0.0 |iter: 0/100\r",
      "     1.25 | 2.7437e-01 | 1.0000e+00 |      164620 |      600000 |         1000 |        1000 |         0.0 |reached target bit errors\n",
      "      1.5 | 2.6814e-01 | 1.0000e+00 |      160883 |      600000 |         1000 |        1000 |         0.0 |iter: 0/100\r",
      "      1.5 | 2.6814e-01 | 1.0000e+00 |      160883 |      600000 |         1000 |        1000 |         0.0 |reached target bit errors\n",
      "     1.75 | 2.6208e-01 | 1.0000e+00 |      157250 |      600000 |         1000 |        1000 |         0.0 |iter: 0/100\r",
      "     1.75 | 2.6208e-01 | 1.0000e+00 |      157250 |      600000 |         1000 |        1000 |         0.0 |reached target bit errors\n",
      "      2.0 | 2.5340e-01 | 1.0000e+00 |      152041 |      600000 |         1000 |        1000 |         0.0 |iter: 0/100\r",
      "      2.0 | 2.5340e-01 | 1.0000e+00 |      152041 |      600000 |         1000 |        1000 |         0.0 |reached target bit errors\n",
      "     2.25 | 2.4494e-01 | 1.0000e+00 |      146961 |      600000 |         1000 |        1000 |         0.0 |iter: 0/100\r",
      "     2.25 | 2.4494e-01 | 1.0000e+00 |      146961 |      600000 |         1000 |        1000 |         0.0 |reached target bit errors\n",
      "      2.5 | 2.3680e-01 | 1.0000e+00 |      142082 |      600000 |         1000 |        1000 |         0.0 |iter: 0/100\r",
      "      2.5 | 2.3680e-01 | 1.0000e+00 |      142082 |      600000 |         1000 |        1000 |         0.0 |reached target bit errors\n",
      "     2.75 | 2.2833e-01 | 1.0000e+00 |      136997 |      600000 |         1000 |        1000 |         0.0 |iter: 0/100\r",
      "     2.75 | 2.2833e-01 | 1.0000e+00 |      136997 |      600000 |         1000 |        1000 |         0.0 |reached target bit errors\n",
      "      3.0 | 2.1951e-01 | 1.0000e+00 |      131704 |      600000 |         1000 |        1000 |         0.0 |iter: 0/100\r",
      "      3.0 | 2.1951e-01 | 1.0000e+00 |      131704 |      600000 |         1000 |        1000 |         0.0 |reached target bit errors\n",
      "     3.25 | 2.0875e-01 | 1.0000e+00 |      125250 |      600000 |         1000 |        1000 |         0.0 |iter: 0/100\r",
      "     3.25 | 2.0875e-01 | 1.0000e+00 |      125250 |      600000 |         1000 |        1000 |         0.0 |reached target bit errors\n",
      "      3.5 | 1.9583e-01 | 1.0000e+00 |      117500 |      600000 |         1000 |        1000 |         0.0 |iter: 0/100\r",
      "      3.5 | 1.9583e-01 | 1.0000e+00 |      117500 |      600000 |         1000 |        1000 |         0.0 |reached target bit errors\n",
      "     3.75 | 1.7982e-01 | 1.0000e+00 |      107893 |      600000 |         1000 |        1000 |         0.0 |iter: 0/100\r",
      "     3.75 | 1.7982e-01 | 1.0000e+00 |      107893 |      600000 |         1000 |        1000 |         0.0 |reached target bit errors\n",
      "      4.0 | 1.6522e-01 | 1.0000e+00 |       99133 |      600000 |         1000 |        1000 |         0.0 |iter: 0/100\r",
      "      4.0 | 1.6522e-01 | 1.0000e+00 |       99133 |      600000 |         1000 |        1000 |         0.0 |reached target bit errors\n",
      "     4.25 | 1.3637e-01 | 9.9500e-01 |       81820 |      600000 |          995 |        1000 |         0.0 |iter: 0/100\r",
      "     4.25 | 1.3637e-01 | 9.9500e-01 |       81820 |      600000 |          995 |        1000 |         0.0 |reached target bit errors\n",
      "      4.5 | 1.0176e-01 | 9.3200e-01 |       61059 |      600000 |          932 |        1000 |         0.0 |iter: 0/100\r",
      "      4.5 | 1.0176e-01 | 9.3200e-01 |       61059 |      600000 |          932 |        1000 |         0.0 |reached target bit errors\n",
      "     4.75 | 6.1763e-02 | 7.8000e-01 |       37058 |      600000 |          780 |        1000 |         0.0 |iter: 0/100\r",
      "     4.75 | 6.1763e-02 | 7.8000e-01 |       37058 |      600000 |          780 |        1000 |         0.0 |reached target bit errors\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1600x1000 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# and repeat the experiment for a 16QAM WITHOUT scrambler \n",
    "model_allzero_16_no_sc = LDPC_QAM_AWGN(k,\n",
    "                                       n,\n",
    "                                       num_bits_per_symbol=4,\n",
    "                                       use_allzero=True, # all-zero codeword\n",
    "                                       use_scrambler=False) # no scrambler used\n",
    "\n",
    "\n",
    "# and simulate the new curve\n",
    "# Hint: as the model is callable, we can directly pass it to the \n",
    "# Monte Carlo simulation\n",
    "ber_plot_allzero16qam.simulate(model_allzero_16_no_sc,\n",
    "                               ebno_dbs=np.arange(0, 5, 0.25),\n",
    "                               legend=\"All-zero / 16-QAM (no scrambler!)\",\n",
    "                               max_mc_iter=100,\n",
    "                               num_target_bit_errors=1000,\n",
    "                               batch_size=1000,\n",
    "                               soft_estimates=False,\n",
    "                               show_fig=True,\n",
    "                               forward_keyboard_interrupt=False,\n",
    "                               compile_mode=\"reduce-overhead\");"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "As expected the results are wrong as we have transmitted all bits over the *less reliable* channel (cf [BER per bit-channel](#Constellations-and-Bit-Channels)).\n",
    "\n",
    "Let us repeat this experiment with scrambler and descrambler at the correct position."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-02-14T00:16:03.935906Z",
     "iopub.status.busy": "2026-02-14T00:16:03.935761Z",
     "iopub.status.idle": "2026-02-14T00:16:16.170157Z",
     "shell.execute_reply": "2026-02-14T00:16:16.169081Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "EbNo [dB] |        BER |       BLER |  bit errors |    num bits | block errors |  num blocks | runtime [s] |    status\n",
      "---------------------------------------------------------------------------------------------------------------------------------------\n",
      "      0.0 | 2.4834e-01 | 1.0000e+00 |      149002 |      600000 |         1000 |        1000 |         9.9 |iter: 0/100\r",
      "      0.0 | 2.4834e-01 | 1.0000e+00 |      149002 |      600000 |         1000 |        1000 |         9.9 |reached target bit errors\n",
      "     0.25 | 2.4094e-01 | 1.0000e+00 |      144564 |      600000 |         1000 |        1000 |         0.0 |iter: 0/100\r",
      "     0.25 | 2.4094e-01 | 1.0000e+00 |      144564 |      600000 |         1000 |        1000 |         0.0 |reached target bit errors\n",
      "      0.5 | 2.3210e-01 | 1.0000e+00 |      139259 |      600000 |         1000 |        1000 |         0.0 |iter: 0/100\r",
      "      0.5 | 2.3210e-01 | 1.0000e+00 |      139259 |      600000 |         1000 |        1000 |         0.0 |reached target bit errors\n",
      "     0.75 | 2.2297e-01 | 1.0000e+00 |      133782 |      600000 |         1000 |        1000 |         0.0 |iter: 0/100\r",
      "     0.75 | 2.2297e-01 | 1.0000e+00 |      133782 |      600000 |         1000 |        1000 |         0.0 |reached target bit errors\n",
      "      1.0 | 2.1583e-01 | 1.0000e+00 |      129496 |      600000 |         1000 |        1000 |         0.0 |iter: 0/100\r",
      "      1.0 | 2.1583e-01 | 1.0000e+00 |      129496 |      600000 |         1000 |        1000 |         0.0 |reached target bit errors\n",
      "     1.25 | 2.0505e-01 | 1.0000e+00 |      123029 |      600000 |         1000 |        1000 |         0.0 |iter: 0/100\r",
      "     1.25 | 2.0505e-01 | 1.0000e+00 |      123029 |      600000 |         1000 |        1000 |         0.0 |reached target bit errors\n",
      "      1.5 | 1.9434e-01 | 1.0000e+00 |      116604 |      600000 |         1000 |        1000 |         0.0 |iter: 0/100\r",
      "      1.5 | 1.9434e-01 | 1.0000e+00 |      116604 |      600000 |         1000 |        1000 |         0.0 |reached target bit errors\n",
      "     1.75 | 1.8270e-01 | 1.0000e+00 |      109622 |      600000 |         1000 |        1000 |         0.0 |iter: 0/100\r",
      "     1.75 | 1.8270e-01 | 1.0000e+00 |      109622 |      600000 |         1000 |        1000 |         0.0 |reached target bit errors\n",
      "      2.0 | 1.6783e-01 | 1.0000e+00 |      100698 |      600000 |         1000 |        1000 |         0.0 |iter: 0/100\r",
      "      2.0 | 1.6783e-01 | 1.0000e+00 |      100698 |      600000 |         1000 |        1000 |         0.0 |reached target bit errors\n",
      "     2.25 | 1.4872e-01 | 9.9700e-01 |       89232 |      600000 |          997 |        1000 |         0.0 |iter: 0/100\r",
      "     2.25 | 1.4872e-01 | 9.9700e-01 |       89232 |      600000 |          997 |        1000 |         0.0 |reached target bit errors\n",
      "      2.5 | 1.2737e-01 | 9.8100e-01 |       76420 |      600000 |          981 |        1000 |         0.0 |iter: 0/100\r",
      "      2.5 | 1.2737e-01 | 9.8100e-01 |       76420 |      600000 |          981 |        1000 |         0.0 |reached target bit errors\n",
      "     2.75 | 9.2343e-02 | 9.1800e-01 |       55406 |      600000 |          918 |        1000 |         0.0 |iter: 0/100\r",
      "     2.75 | 9.2343e-02 | 9.1800e-01 |       55406 |      600000 |          918 |        1000 |         0.0 |reached target bit errors\n",
      "      3.0 | 6.3193e-02 | 7.5600e-01 |       37916 |      600000 |          756 |        1000 |         0.0 |iter: 0/100\r",
      "      3.0 | 6.3193e-02 | 7.5600e-01 |       37916 |      600000 |          756 |        1000 |         0.0 |reached target bit errors\n",
      "     3.25 | 3.4878e-02 | 5.2500e-01 |       20927 |      600000 |          525 |        1000 |         0.0 |iter: 0/100\r",
      "     3.25 | 3.4878e-02 | 5.2500e-01 |       20927 |      600000 |          525 |        1000 |         0.0 |reached target bit errors\n",
      "      3.5 | 1.5870e-02 | 2.8800e-01 |        9522 |      600000 |          288 |        1000 |         0.0 |iter: 0/100\r",
      "      3.5 | 1.5870e-02 | 2.8800e-01 |        9522 |      600000 |          288 |        1000 |         0.0 |reached target bit errors\n",
      "     3.75 | 4.1100e-03 | 8.3000e-02 |        2466 |      600000 |           83 |        1000 |         0.0 |iter: 0/100\r",
      "     3.75 | 4.1100e-03 | 8.3000e-02 |        2466 |      600000 |           83 |        1000 |         0.0 |reached target bit errors\n",
      "      4.0 | 8.2500e-04 | 3.6000e-02 |         495 |      600000 |           36 |        1000 |         0.0 |iter: 0/100\r",
      "      4.0 | 9.1583e-04 | 3.5500e-02 |        1099 |     1200000 |           71 |        2000 |         0.0 |iter: 1/100\r",
      "      4.0 | 9.1583e-04 | 3.5500e-02 |        1099 |     1200000 |           71 |        2000 |         0.0 |reached target bit errors\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     4.25 | 4.0333e-04 | 1.2000e-02 |         242 |      600000 |           12 |        1000 |         0.0 |iter: 0/100\r",
      "     4.25 | 3.8500e-04 | 1.0000e-02 |         462 |     1200000 |           20 |        2000 |         0.0 |iter: 1/100\r",
      "     4.25 | 3.0611e-04 | 8.3333e-03 |         551 |     1800000 |           25 |        3000 |         0.0 |iter: 2/100\r",
      "     4.25 | 2.3417e-04 | 7.2500e-03 |         562 |     2400000 |           29 |        4000 |         0.0 |iter: 3/100\r",
      "     4.25 | 2.7233e-04 | 8.0000e-03 |         817 |     3000000 |           40 |        5000 |         0.1 |iter: 4/100\r",
      "     4.25 | 2.4611e-04 | 7.5000e-03 |         886 |     3600000 |           45 |        6000 |         0.1 |iter: 5/100\r",
      "     4.25 | 2.2976e-04 | 6.8571e-03 |         965 |     4200000 |           48 |        7000 |         0.1 |iter: 6/100\r",
      "     4.25 | 2.1354e-04 | 6.7500e-03 |        1025 |     4800000 |           54 |        8000 |         0.1 |iter: 7/100\r",
      "     4.25 | 2.1354e-04 | 6.7500e-03 |        1025 |     4800000 |           54 |        8000 |         0.1 |reached target bit errors\n",
      "      4.5 | 3.3333e-06 | 2.0000e-03 |           2 |      600000 |            2 |        1000 |         0.0 |iter: 0/100\r",
      "      4.5 | 1.6667e-06 | 1.0000e-03 |           2 |     1200000 |            2 |        2000 |         0.0 |iter: 1/100\r",
      "      4.5 | 1.3333e-05 | 1.0000e-03 |          24 |     1800000 |            3 |        3000 |         0.0 |iter: 2/100\r",
      "      4.5 | 2.2083e-05 | 1.0000e-03 |          53 |     2400000 |            4 |        4000 |         0.0 |iter: 3/100\r",
      "      4.5 | 1.8333e-05 | 1.0000e-03 |          55 |     3000000 |            5 |        5000 |         0.1 |iter: 4/100\r",
      "      4.5 | 1.7778e-05 | 1.1667e-03 |          64 |     3600000 |            7 |        6000 |         0.1 |iter: 5/100\r",
      "      4.5 | 1.7619e-05 | 1.2857e-03 |          74 |     4200000 |            9 |        7000 |         0.1 |iter: 6/100\r",
      "      4.5 | 1.6042e-05 | 1.2500e-03 |          77 |     4800000 |           10 |        8000 |         0.1 |iter: 7/100\r",
      "      4.5 | 1.4259e-05 | 1.1111e-03 |          77 |     5400000 |           10 |        9000 |         0.1 |iter: 8/100\r",
      "      4.5 | 1.9500e-05 | 1.4000e-03 |         117 |     6000000 |           14 |       10000 |         0.1 |iter: 9/100\r",
      "      4.5 | 1.8182e-05 | 1.4545e-03 |         120 |     6600000 |           16 |       11000 |         0.1 |iter: 10/100\r",
      "      4.5 | 1.6667e-05 | 1.3333e-03 |         120 |     7200000 |           16 |       12000 |         0.1 |iter: 11/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "      4.5 | 1.5385e-05 | 1.2308e-03 |         120 |     7800000 |           16 |       13000 |         0.1 |iter: 12/100\r",
      "      4.5 | 2.4048e-05 | 1.2857e-03 |         202 |     8400000 |           18 |       14000 |         0.1 |iter: 13/100\r",
      "      4.5 | 2.2444e-05 | 1.2000e-03 |         202 |     9000000 |           18 |       15000 |         0.2 |iter: 14/100\r",
      "      4.5 | 2.9167e-05 | 1.3750e-03 |         280 |     9600000 |           22 |       16000 |         0.2 |iter: 15/100\r",
      "      4.5 | 2.7549e-05 | 1.3529e-03 |         281 |    10200000 |           23 |       17000 |         0.2 |iter: 16/100\r",
      "      4.5 | 2.6019e-05 | 1.2778e-03 |         281 |    10800000 |           23 |       18000 |         0.2 |iter: 17/100\r",
      "      4.5 | 2.7807e-05 | 1.3684e-03 |         317 |    11400000 |           26 |       19000 |         0.2 |iter: 18/100\r",
      "      4.5 | 2.6417e-05 | 1.3000e-03 |         317 |    12000000 |           26 |       20000 |         0.2 |iter: 19/100\r",
      "      4.5 | 2.5159e-05 | 1.2381e-03 |         317 |    12600000 |           26 |       21000 |         0.2 |iter: 20/100\r",
      "      4.5 | 2.5606e-05 | 1.2273e-03 |         338 |    13200000 |           27 |       22000 |         0.2 |iter: 21/100\r",
      "      4.5 | 2.4565e-05 | 1.2174e-03 |         339 |    13800000 |           28 |       23000 |         0.2 |iter: 22/100\r",
      "      4.5 | 2.4792e-05 | 1.2500e-03 |         357 |    14400000 |           30 |       24000 |         0.3 |iter: 23/100\r",
      "      4.5 | 2.4667e-05 | 1.2800e-03 |         370 |    15000000 |           32 |       25000 |         0.3 |iter: 24/100\r",
      "      4.5 | 2.5449e-05 | 1.2692e-03 |         397 |    15600000 |           33 |       26000 |         0.3 |iter: 25/100\r",
      "      4.5 | 2.4506e-05 | 1.2222e-03 |         397 |    16200000 |           33 |       27000 |         0.3 |iter: 26/100\r",
      "      4.5 | 2.3631e-05 | 1.1786e-03 |         397 |    16800000 |           33 |       28000 |         0.3 |iter: 27/100\r",
      "      4.5 | 2.4023e-05 | 1.2069e-03 |         418 |    17400000 |           35 |       29000 |         0.3 |iter: 28/100\r",
      "      4.5 | 2.3222e-05 | 1.1667e-03 |         418 |    18000000 |           35 |       30000 |         0.3 |iter: 29/100\r",
      "      4.5 | 2.2473e-05 | 1.1290e-03 |         418 |    18600000 |           35 |       31000 |         0.3 |iter: 30/100\r",
      "      4.5 | 2.3385e-05 | 1.1250e-03 |         449 |    19200000 |           36 |       32000 |         0.3 |iter: 31/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "      4.5 | 2.3182e-05 | 1.1212e-03 |         459 |    19800000 |           37 |       33000 |         0.3 |iter: 32/100\r",
      "      4.5 | 2.2941e-05 | 1.1176e-03 |         468 |    20400000 |           38 |       34000 |         0.4 |iter: 33/100\r",
      "      4.5 | 2.2286e-05 | 1.0857e-03 |         468 |    21000000 |           38 |       35000 |         0.4 |iter: 34/100\r",
      "      4.5 | 2.1667e-05 | 1.0556e-03 |         468 |    21600000 |           38 |       36000 |         0.4 |iter: 35/100\r",
      "      4.5 | 2.1081e-05 | 1.0270e-03 |         468 |    22200000 |           38 |       37000 |         0.4 |iter: 36/100\r",
      "      4.5 | 2.0658e-05 | 1.0263e-03 |         471 |    22800000 |           39 |       38000 |         0.4 |iter: 37/100\r",
      "      4.5 | 2.0598e-05 | 1.0769e-03 |         482 |    23400000 |           42 |       39000 |         0.4 |iter: 38/100\r",
      "      4.5 | 2.4250e-05 | 1.1000e-03 |         582 |    24000000 |           44 |       40000 |         0.4 |iter: 39/100\r",
      "      4.5 | 2.3740e-05 | 1.0976e-03 |         584 |    24600000 |           45 |       41000 |         0.4 |iter: 40/100\r",
      "      4.5 | 2.3175e-05 | 1.0714e-03 |         584 |    25200000 |           45 |       42000 |         0.4 |iter: 41/100\r",
      "      4.5 | 2.2713e-05 | 1.0698e-03 |         586 |    25800000 |           46 |       43000 |         0.5 |iter: 42/100\r",
      "      4.5 | 2.4394e-05 | 1.1136e-03 |         644 |    26400000 |           49 |       44000 |         0.5 |iter: 43/100\r",
      "      4.5 | 2.4148e-05 | 1.1333e-03 |         652 |    27000000 |           51 |       45000 |         0.5 |iter: 44/100\r",
      "      4.5 | 2.3623e-05 | 1.1087e-03 |         652 |    27600000 |           51 |       46000 |         0.5 |iter: 45/100\r",
      "      4.5 | 2.3156e-05 | 1.1064e-03 |         653 |    28200000 |           52 |       47000 |         0.5 |iter: 46/100\r",
      "      4.5 | 2.4410e-05 | 1.1458e-03 |         703 |    28800000 |           55 |       48000 |         0.5 |iter: 47/100\r",
      "      4.5 | 2.6293e-05 | 1.1633e-03 |         773 |    29400000 |           57 |       49000 |         0.5 |iter: 48/100\r",
      "      4.5 | 2.5800e-05 | 1.1600e-03 |         774 |    30000000 |           58 |       50000 |         0.5 |iter: 49/100\r",
      "      4.5 | 2.5425e-05 | 1.1765e-03 |         778 |    30600000 |           60 |       51000 |         0.5 |iter: 50/100\r",
      "      4.5 | 2.5288e-05 | 1.1731e-03 |         789 |    31200000 |           61 |       52000 |         0.5 |iter: 51/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "      4.5 | 2.4811e-05 | 1.1509e-03 |         789 |    31800000 |           61 |       53000 |         0.6 |iter: 52/100\r",
      "      4.5 | 2.4753e-05 | 1.1667e-03 |         802 |    32400000 |           63 |       54000 |         0.6 |iter: 53/100\r",
      "      4.5 | 2.4303e-05 | 1.1455e-03 |         802 |    33000000 |           63 |       55000 |         0.6 |iter: 54/100\r",
      "      4.5 | 2.6101e-05 | 1.1964e-03 |         877 |    33600000 |           67 |       56000 |         0.6 |iter: 55/100\r",
      "      4.5 | 2.7018e-05 | 1.2105e-03 |         924 |    34200000 |           69 |       57000 |         0.6 |iter: 56/100\r",
      "      4.5 | 2.6552e-05 | 1.1897e-03 |         924 |    34800000 |           69 |       58000 |         0.6 |iter: 57/100\r",
      "      4.5 | 2.6441e-05 | 1.2034e-03 |         936 |    35400000 |           71 |       59000 |         0.6 |iter: 58/100\r",
      "      4.5 | 2.6611e-05 | 1.2000e-03 |         958 |    36000000 |           72 |       60000 |         0.6 |iter: 59/100\r",
      "      4.5 | 2.7240e-05 | 1.2131e-03 |         997 |    36600000 |           74 |       61000 |         0.6 |iter: 60/100\r",
      "      4.5 | 2.7392e-05 | 1.2419e-03 |        1019 |    37200000 |           77 |       62000 |         0.7 |iter: 61/100\r",
      "      4.5 | 2.7392e-05 | 1.2419e-03 |        1019 |    37200000 |           77 |       62000 |         0.7 |reached target bit errors\n",
      "     4.75 | 2.0000e-05 | 1.0000e-03 |          12 |      600000 |            1 |        1000 |         0.0 |iter: 0/100\r",
      "     4.75 | 1.0000e-05 | 5.0000e-04 |          12 |     1200000 |            1 |        2000 |         0.0 |iter: 1/100\r",
      "     4.75 | 6.6667e-06 | 3.3333e-04 |          12 |     1800000 |            1 |        3000 |         0.0 |iter: 2/100\r",
      "     4.75 | 5.0000e-06 | 2.5000e-04 |          12 |     2400000 |            1 |        4000 |         0.0 |iter: 3/100\r",
      "     4.75 | 4.0000e-06 | 2.0000e-04 |          12 |     3000000 |            1 |        5000 |         0.1 |iter: 4/100\r",
      "     4.75 | 3.3333e-06 | 1.6667e-04 |          12 |     3600000 |            1 |        6000 |         0.1 |iter: 5/100\r",
      "     4.75 | 2.8571e-06 | 1.4286e-04 |          12 |     4200000 |            1 |        7000 |         0.1 |iter: 6/100\r",
      "     4.75 | 2.5000e-06 | 1.2500e-04 |          12 |     4800000 |            1 |        8000 |         0.1 |iter: 7/100\r",
      "     4.75 | 2.2222e-06 | 1.1111e-04 |          12 |     5400000 |            1 |        9000 |         0.1 |iter: 8/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     4.75 | 2.0000e-06 | 1.0000e-04 |          12 |     6000000 |            1 |       10000 |         0.1 |iter: 9/100\r",
      "     4.75 | 1.8182e-06 | 9.0909e-05 |          12 |     6600000 |            1 |       11000 |         0.1 |iter: 10/100\r",
      "     4.75 | 1.6667e-06 | 8.3333e-05 |          12 |     7200000 |            1 |       12000 |         0.1 |iter: 11/100\r",
      "     4.75 | 1.5385e-06 | 7.6923e-05 |          12 |     7800000 |            1 |       13000 |         0.1 |iter: 12/100\r",
      "     4.75 | 1.4286e-06 | 7.1429e-05 |          12 |     8400000 |            1 |       14000 |         0.1 |iter: 13/100\r",
      "     4.75 | 1.3333e-06 | 6.6667e-05 |          12 |     9000000 |            1 |       15000 |         0.2 |iter: 14/100\r",
      "     4.75 | 5.5208e-06 | 1.8750e-04 |          53 |     9600000 |            3 |       16000 |         0.2 |iter: 15/100\r",
      "     4.75 | 5.1961e-06 | 1.7647e-04 |          53 |    10200000 |            3 |       17000 |         0.2 |iter: 16/100\r",
      "     4.75 | 4.9074e-06 | 1.6667e-04 |          53 |    10800000 |            3 |       18000 |         0.2 |iter: 17/100\r",
      "     4.75 | 4.6491e-06 | 1.5789e-04 |          53 |    11400000 |            3 |       19000 |         0.2 |iter: 18/100\r",
      "     4.75 | 4.4167e-06 | 1.5000e-04 |          53 |    12000000 |            3 |       20000 |         0.2 |iter: 19/100\r",
      "     4.75 | 4.2063e-06 | 1.4286e-04 |          53 |    12600000 |            3 |       21000 |         0.2 |iter: 20/100\r",
      "     4.75 | 4.0152e-06 | 1.3636e-04 |          53 |    13200000 |            3 |       22000 |         0.2 |iter: 21/100\r",
      "     4.75 | 3.8406e-06 | 1.3043e-04 |          53 |    13800000 |            3 |       23000 |         0.2 |iter: 22/100\r",
      "     4.75 | 3.6806e-06 | 1.2500e-04 |          53 |    14400000 |            3 |       24000 |         0.3 |iter: 23/100\r",
      "     4.75 | 3.5333e-06 | 1.2000e-04 |          53 |    15000000 |            3 |       25000 |         0.3 |iter: 24/100\r",
      "     4.75 | 3.8462e-06 | 1.5385e-04 |          60 |    15600000 |            4 |       26000 |         0.3 |iter: 25/100\r",
      "     4.75 | 5.6173e-06 | 1.8519e-04 |          91 |    16200000 |            5 |       27000 |         0.3 |iter: 26/100\r",
      "     4.75 | 6.1310e-06 | 2.1429e-04 |         103 |    16800000 |            6 |       28000 |         0.3 |iter: 27/100\r",
      "     4.75 | 6.1494e-06 | 2.4138e-04 |         107 |    17400000 |            7 |       29000 |         0.3 |iter: 28/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     4.75 | 5.9444e-06 | 2.3333e-04 |         107 |    18000000 |            7 |       30000 |         0.3 |iter: 29/100\r",
      "     4.75 | 5.9140e-06 | 2.5806e-04 |         110 |    18600000 |            8 |       31000 |         0.3 |iter: 30/100\r",
      "     4.75 | 5.7292e-06 | 2.5000e-04 |         110 |    19200000 |            8 |       32000 |         0.3 |iter: 31/100\r",
      "     4.75 | 5.5556e-06 | 2.4242e-04 |         110 |    19800000 |            8 |       33000 |         0.3 |iter: 32/100\r",
      "     4.75 | 5.3922e-06 | 2.3529e-04 |         110 |    20400000 |            8 |       34000 |         0.4 |iter: 33/100\r",
      "     4.75 | 7.3810e-06 | 3.1429e-04 |         155 |    21000000 |           11 |       35000 |         0.4 |iter: 34/100\r",
      "     4.75 | 7.1759e-06 | 3.0556e-04 |         155 |    21600000 |           11 |       36000 |         0.4 |iter: 35/100\r",
      "     4.75 | 6.9820e-06 | 2.9730e-04 |         155 |    22200000 |           11 |       37000 |         0.4 |iter: 36/100\r",
      "     4.75 | 6.7982e-06 | 2.8947e-04 |         155 |    22800000 |           11 |       38000 |         0.4 |iter: 37/100\r",
      "     4.75 | 6.6239e-06 | 2.8205e-04 |         155 |    23400000 |           11 |       39000 |         0.4 |iter: 38/100\r",
      "     4.75 | 6.4583e-06 | 2.7500e-04 |         155 |    24000000 |           11 |       40000 |         0.4 |iter: 39/100\r",
      "     4.75 | 6.3008e-06 | 2.6829e-04 |         155 |    24600000 |           11 |       41000 |         0.4 |iter: 40/100\r",
      "     4.75 | 6.1508e-06 | 2.6190e-04 |         155 |    25200000 |           11 |       42000 |         0.4 |iter: 41/100\r",
      "     4.75 | 6.0078e-06 | 2.5581e-04 |         155 |    25800000 |           11 |       43000 |         0.5 |iter: 42/100\r",
      "     4.75 | 5.8712e-06 | 2.5000e-04 |         155 |    26400000 |           11 |       44000 |         0.5 |iter: 43/100\r",
      "     4.75 | 5.7407e-06 | 2.4444e-04 |         155 |    27000000 |           11 |       45000 |         0.5 |iter: 44/100\r",
      "     4.75 | 5.6159e-06 | 2.3913e-04 |         155 |    27600000 |           11 |       46000 |         0.5 |iter: 45/100\r",
      "     4.75 | 5.5674e-06 | 2.5532e-04 |         157 |    28200000 |           12 |       47000 |         0.5 |iter: 46/100\r",
      "     4.75 | 5.4514e-06 | 2.5000e-04 |         157 |    28800000 |           12 |       48000 |         0.5 |iter: 47/100\r",
      "     4.75 | 5.3401e-06 | 2.4490e-04 |         157 |    29400000 |           12 |       49000 |         0.5 |iter: 48/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     4.75 | 5.2333e-06 | 2.4000e-04 |         157 |    30000000 |           12 |       50000 |         0.5 |iter: 49/100\r",
      "     4.75 | 5.1307e-06 | 2.3529e-04 |         157 |    30600000 |           12 |       51000 |         0.5 |iter: 50/100\r",
      "     4.75 | 5.0321e-06 | 2.3077e-04 |         157 |    31200000 |           12 |       52000 |         0.5 |iter: 51/100\r",
      "     4.75 | 4.9371e-06 | 2.2642e-04 |         157 |    31800000 |           12 |       53000 |         0.6 |iter: 52/100\r",
      "     4.75 | 4.8457e-06 | 2.2222e-04 |         157 |    32400000 |           12 |       54000 |         0.6 |iter: 53/100\r",
      "     4.75 | 4.7576e-06 | 2.1818e-04 |         157 |    33000000 |           12 |       55000 |         0.6 |iter: 54/100\r",
      "     4.75 | 4.7321e-06 | 2.5000e-04 |         159 |    33600000 |           14 |       56000 |         0.6 |iter: 55/100\r",
      "     4.75 | 4.6491e-06 | 2.4561e-04 |         159 |    34200000 |           14 |       57000 |         0.6 |iter: 56/100\r",
      "     4.75 | 4.5690e-06 | 2.4138e-04 |         159 |    34800000 |           14 |       58000 |         0.6 |iter: 57/100\r",
      "     4.75 | 4.4915e-06 | 2.3729e-04 |         159 |    35400000 |           14 |       59000 |         0.6 |iter: 58/100\r",
      "     4.75 | 4.4167e-06 | 2.3333e-04 |         159 |    36000000 |           14 |       60000 |         0.6 |iter: 59/100\r",
      "     4.75 | 4.3443e-06 | 2.2951e-04 |         159 |    36600000 |           14 |       61000 |         0.6 |iter: 60/100\r",
      "     4.75 | 6.3710e-06 | 2.4194e-04 |         237 |    37200000 |           15 |       62000 |         0.7 |iter: 61/100\r",
      "     4.75 | 6.2963e-06 | 2.5397e-04 |         238 |    37800000 |           16 |       63000 |         0.7 |iter: 62/100\r",
      "     4.75 | 6.1979e-06 | 2.5000e-04 |         238 |    38400000 |           16 |       64000 |         0.7 |iter: 63/100\r",
      "     4.75 | 6.1026e-06 | 2.4615e-04 |         238 |    39000000 |           16 |       65000 |         0.7 |iter: 64/100\r",
      "     4.75 | 6.0101e-06 | 2.4242e-04 |         238 |    39600000 |           16 |       66000 |         0.7 |iter: 65/100\r",
      "     4.75 | 5.9204e-06 | 2.3881e-04 |         238 |    40200000 |           16 |       67000 |         0.7 |iter: 66/100\r",
      "     4.75 | 5.8333e-06 | 2.3529e-04 |         238 |    40800000 |           16 |       68000 |         0.7 |iter: 67/100\r",
      "     4.75 | 5.7488e-06 | 2.3188e-04 |         238 |    41400000 |           16 |       69000 |         0.7 |iter: 68/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     4.75 | 5.9048e-06 | 2.4286e-04 |         248 |    42000000 |           17 |       70000 |         0.7 |iter: 69/100\r",
      "     4.75 | 5.8216e-06 | 2.3944e-04 |         248 |    42600000 |           17 |       71000 |         0.7 |iter: 70/100\r",
      "     4.75 | 5.7407e-06 | 2.3611e-04 |         248 |    43200000 |           17 |       72000 |         0.8 |iter: 71/100\r",
      "     4.75 | 5.6621e-06 | 2.3288e-04 |         248 |    43800000 |           17 |       73000 |         0.8 |iter: 72/100\r",
      "     4.75 | 5.5856e-06 | 2.2973e-04 |         248 |    44400000 |           17 |       74000 |         0.8 |iter: 73/100\r",
      "     4.75 | 5.5111e-06 | 2.2667e-04 |         248 |    45000000 |           17 |       75000 |         0.8 |iter: 74/100\r",
      "     4.75 | 5.4386e-06 | 2.2368e-04 |         248 |    45600000 |           17 |       76000 |         0.8 |iter: 75/100\r",
      "     4.75 | 6.2338e-06 | 2.4675e-04 |         288 |    46200000 |           19 |       77000 |         0.8 |iter: 76/100\r",
      "     4.75 | 6.1538e-06 | 2.4359e-04 |         288 |    46800000 |           19 |       78000 |         0.8 |iter: 77/100\r",
      "     4.75 | 6.0759e-06 | 2.4051e-04 |         288 |    47400000 |           19 |       79000 |         0.8 |iter: 78/100\r",
      "     4.75 | 6.0000e-06 | 2.3750e-04 |         288 |    48000000 |           19 |       80000 |         0.8 |iter: 79/100\r",
      "     4.75 | 6.2757e-06 | 2.4691e-04 |         305 |    48600000 |           20 |       81000 |         0.9 |iter: 80/100\r",
      "     4.75 | 6.1992e-06 | 2.4390e-04 |         305 |    49200000 |           20 |       82000 |         0.9 |iter: 81/100\r",
      "     4.75 | 6.1245e-06 | 2.4096e-04 |         305 |    49800000 |           20 |       83000 |         0.9 |iter: 82/100\r",
      "     4.75 | 6.0516e-06 | 2.3810e-04 |         305 |    50400000 |           20 |       84000 |         0.9 |iter: 83/100\r",
      "     4.75 | 5.9804e-06 | 2.3529e-04 |         305 |    51000000 |           20 |       85000 |         0.9 |iter: 84/100\r",
      "     4.75 | 5.9109e-06 | 2.3256e-04 |         305 |    51600000 |           20 |       86000 |         0.9 |iter: 85/100\r",
      "     4.75 | 5.8429e-06 | 2.2989e-04 |         305 |    52200000 |           20 |       87000 |         0.9 |iter: 86/100\r",
      "     4.75 | 5.7765e-06 | 2.2727e-04 |         305 |    52800000 |           20 |       88000 |         0.9 |iter: 87/100\r",
      "     4.75 | 5.7116e-06 | 2.2472e-04 |         305 |    53400000 |           20 |       89000 |         0.9 |iter: 88/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     4.75 | 5.6481e-06 | 2.2222e-04 |         305 |    54000000 |           20 |       90000 |         0.9 |iter: 89/100\r",
      "     4.75 | 5.5861e-06 | 2.1978e-04 |         305 |    54600000 |           20 |       91000 |         1.0 |iter: 90/100\r",
      "     4.75 | 5.5254e-06 | 2.1739e-04 |         305 |    55200000 |           20 |       92000 |         1.0 |iter: 91/100\r",
      "     4.75 | 5.5018e-06 | 2.2581e-04 |         307 |    55800000 |           21 |       93000 |         1.0 |iter: 92/100\r",
      "     4.75 | 5.5319e-06 | 2.3404e-04 |         312 |    56400000 |           22 |       94000 |         1.0 |iter: 93/100\r",
      "     4.75 | 5.4737e-06 | 2.3158e-04 |         312 |    57000000 |           22 |       95000 |         1.0 |iter: 94/100\r",
      "     4.75 | 5.4167e-06 | 2.2917e-04 |         312 |    57600000 |           22 |       96000 |         1.0 |iter: 95/100\r",
      "     4.75 | 5.3608e-06 | 2.2680e-04 |         312 |    58200000 |           22 |       97000 |         1.0 |iter: 96/100\r",
      "     4.75 | 5.3061e-06 | 2.2449e-04 |         312 |    58800000 |           22 |       98000 |         1.0 |iter: 97/100\r",
      "     4.75 | 5.2525e-06 | 2.2222e-04 |         312 |    59400000 |           22 |       99000 |         1.0 |iter: 98/100\r",
      "     4.75 | 5.2000e-06 | 2.2000e-04 |         312 |    60000000 |           22 |      100000 |         1.1 |iter: 99/100\r",
      "     4.75 | 5.2000e-06 | 2.2000e-04 |         312 |    60000000 |           22 |      100000 |         1.1 |reached max iterations\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1600x1000 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# and repeat the experiment for a 16QAM WITHOUT scrambler \n",
    "model_allzero_16_sc = LDPC_QAM_AWGN(k,\n",
    "                                    n,\n",
    "                                    num_bits_per_symbol=4,\n",
    "                                    use_allzero=True, # all-zero codeword\n",
    "                                    use_scrambler=True) # activate scrambler\n",
    "\n",
    "\n",
    "# and simulate the new curve\n",
    "# Hint: as the model is callable, we can directly pass it to the \n",
    "# Monte Carlo simulation\n",
    "ber_plot_allzero16qam.simulate(model_allzero_16_sc,\n",
    "                               ebno_dbs=np.arange(0, 5, 0.25),\n",
    "                               legend=\"All-zero / 16-QAM (with scrambler)\",\n",
    "                               max_mc_iter=100,\n",
    "                               num_target_bit_errors=1000,\n",
    "                               batch_size=1000,\n",
    "                               soft_estimates=False,\n",
    "                               show_fig=True,\n",
    "                               forward_keyboard_interrupt=False,\n",
    "                               compile_mode=\"reduce-overhead\");"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The 5G standard defines an additional output interleaver after the rate-matching (see Sec. 5.4.2.2 in [11]).\n",
    "\n",
    "We now activate this additional interleaver to enable additional BER gains."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-02-14T00:16:16.172558Z",
     "iopub.status.busy": "2026-02-14T00:16:16.172419Z",
     "iopub.status.idle": "2026-02-14T00:16:29.135411Z",
     "shell.execute_reply": "2026-02-14T00:16:29.134554Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "EbNo [dB] |        BER |       BLER |  bit errors |    num bits | block errors |  num blocks | runtime [s] |    status\n",
      "---------------------------------------------------------------------------------------------------------------------------------------\n",
      "      0.0 | 1.9825e-01 | 1.0000e+00 |      118952 |      600000 |         1000 |        1000 |         8.9 |iter: 0/100\r",
      "      0.0 | 1.9825e-01 | 1.0000e+00 |      118952 |      600000 |         1000 |        1000 |         8.9 |reached target bit errors\n",
      "     0.25 | 1.9096e-01 | 1.0000e+00 |      114578 |      600000 |         1000 |        1000 |         0.0 |iter: 0/100\r",
      "     0.25 | 1.9096e-01 | 1.0000e+00 |      114578 |      600000 |         1000 |        1000 |         0.0 |reached target bit errors\n",
      "      0.5 | 1.8230e-01 | 1.0000e+00 |      109381 |      600000 |         1000 |        1000 |         0.0 |iter: 0/100\r",
      "      0.5 | 1.8230e-01 | 1.0000e+00 |      109381 |      600000 |         1000 |        1000 |         0.0 |reached target bit errors\n",
      "     0.75 | 1.7601e-01 | 1.0000e+00 |      105604 |      600000 |         1000 |        1000 |         0.0 |iter: 0/100\r",
      "     0.75 | 1.7601e-01 | 1.0000e+00 |      105604 |      600000 |         1000 |        1000 |         0.0 |reached target bit errors\n",
      "      1.0 | 1.6711e-01 | 1.0000e+00 |      100267 |      600000 |         1000 |        1000 |         0.0 |iter: 0/100\r",
      "      1.0 | 1.6711e-01 | 1.0000e+00 |      100267 |      600000 |         1000 |        1000 |         0.0 |reached target bit errors\n",
      "     1.25 | 1.5717e-01 | 1.0000e+00 |       94301 |      600000 |         1000 |        1000 |         0.0 |iter: 0/100\r",
      "     1.25 | 1.5717e-01 | 1.0000e+00 |       94301 |      600000 |         1000 |        1000 |         0.0 |reached target bit errors\n",
      "      1.5 | 1.4704e-01 | 1.0000e+00 |       88222 |      600000 |         1000 |        1000 |         0.0 |iter: 0/100\r",
      "      1.5 | 1.4704e-01 | 1.0000e+00 |       88222 |      600000 |         1000 |        1000 |         0.0 |reached target bit errors\n",
      "     1.75 | 1.3375e-01 | 1.0000e+00 |       80252 |      600000 |         1000 |        1000 |         0.0 |iter: 0/100\r",
      "     1.75 | 1.3375e-01 | 1.0000e+00 |       80252 |      600000 |         1000 |        1000 |         0.0 |reached target bit errors\n",
      "      2.0 | 1.1930e-01 | 9.9800e-01 |       71581 |      600000 |          998 |        1000 |         0.0 |iter: 0/100\r",
      "      2.0 | 1.1930e-01 | 9.9800e-01 |       71581 |      600000 |          998 |        1000 |         0.0 |reached target bit errors\n",
      "     2.25 | 9.9447e-02 | 9.8300e-01 |       59668 |      600000 |          983 |        1000 |         0.0 |iter: 0/100\r",
      "     2.25 | 9.9447e-02 | 9.8300e-01 |       59668 |      600000 |          983 |        1000 |         0.0 |reached target bit errors\n",
      "      2.5 | 7.7285e-02 | 9.4700e-01 |       46371 |      600000 |          947 |        1000 |         0.0 |iter: 0/100\r",
      "      2.5 | 7.7285e-02 | 9.4700e-01 |       46371 |      600000 |          947 |        1000 |         0.0 |reached target bit errors\n",
      "     2.75 | 4.9633e-02 | 7.8200e-01 |       29780 |      600000 |          782 |        1000 |         0.0 |iter: 0/100\r",
      "     2.75 | 4.9633e-02 | 7.8200e-01 |       29780 |      600000 |          782 |        1000 |         0.0 |reached target bit errors\n",
      "      3.0 | 2.8933e-02 | 5.6600e-01 |       17360 |      600000 |          566 |        1000 |         0.0 |iter: 0/100\r",
      "      3.0 | 2.8933e-02 | 5.6600e-01 |       17360 |      600000 |          566 |        1000 |         0.0 |reached target bit errors\n",
      "     3.25 | 1.2745e-02 | 3.3500e-01 |        7647 |      600000 |          335 |        1000 |         0.0 |iter: 0/100\r",
      "     3.25 | 1.2745e-02 | 3.3500e-01 |        7647 |      600000 |          335 |        1000 |         0.0 |reached target bit errors\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "      3.5 | 4.7600e-03 | 1.3600e-01 |        2856 |      600000 |          136 |        1000 |         0.0 |iter: 0/100\r",
      "      3.5 | 4.7600e-03 | 1.3600e-01 |        2856 |      600000 |          136 |        1000 |         0.0 |reached target bit errors\n",
      "     3.75 | 1.0333e-03 | 4.2000e-02 |         620 |      600000 |           42 |        1000 |         0.0 |iter: 0/100\r",
      "     3.75 | 9.0667e-04 | 4.0000e-02 |        1088 |     1200000 |           80 |        2000 |         0.0 |iter: 1/100\r",
      "     3.75 | 9.0667e-04 | 4.0000e-02 |        1088 |     1200000 |           80 |        2000 |         0.0 |reached target bit errors\n",
      "      4.0 | 4.0333e-04 | 1.7000e-02 |         242 |      600000 |           17 |        1000 |         0.0 |iter: 0/100\r",
      "      4.0 | 3.0333e-04 | 1.8000e-02 |         364 |     1200000 |           36 |        2000 |         0.0 |iter: 1/100\r",
      "      4.0 | 2.8722e-04 | 1.7000e-02 |         517 |     1800000 |           51 |        3000 |         0.0 |iter: 2/100\r",
      "      4.0 | 3.0083e-04 | 1.5750e-02 |         722 |     2400000 |           63 |        4000 |         0.1 |iter: 3/100\r",
      "      4.0 | 2.6000e-04 | 1.4000e-02 |         780 |     3000000 |           70 |        5000 |         0.1 |iter: 4/100\r",
      "      4.0 | 2.6222e-04 | 1.4167e-02 |         944 |     3600000 |           85 |        6000 |         0.1 |iter: 5/100\r",
      "      4.0 | 2.7095e-04 | 1.4286e-02 |        1138 |     4200000 |          100 |        7000 |         0.1 |iter: 6/100\r",
      "      4.0 | 2.7095e-04 | 1.4286e-02 |        1138 |     4200000 |          100 |        7000 |         0.1 |reached target bit errors\n",
      "     4.25 | 7.0000e-05 | 3.0000e-03 |          42 |      600000 |            3 |        1000 |         0.0 |iter: 0/100\r",
      "     4.25 | 6.1667e-05 | 4.0000e-03 |          74 |     1200000 |            8 |        2000 |         0.0 |iter: 1/100\r",
      "     4.25 | 7.4444e-05 | 3.6667e-03 |         134 |     1800000 |           11 |        3000 |         0.0 |iter: 2/100\r",
      "     4.25 | 6.9167e-05 | 3.5000e-03 |         166 |     2400000 |           14 |        4000 |         0.1 |iter: 3/100\r",
      "     4.25 | 6.5333e-05 | 3.6000e-03 |         196 |     3000000 |           18 |        5000 |         0.1 |iter: 4/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     4.25 | 5.7500e-05 | 3.5000e-03 |         207 |     3600000 |           21 |        6000 |         0.1 |iter: 5/100\r",
      "     4.25 | 6.1429e-05 | 3.5714e-03 |         258 |     4200000 |           25 |        7000 |         0.1 |iter: 6/100\r",
      "     4.25 | 6.2708e-05 | 3.7500e-03 |         301 |     4800000 |           30 |        8000 |         0.1 |iter: 7/100\r",
      "     4.25 | 5.7963e-05 | 3.6667e-03 |         313 |     5400000 |           33 |        9000 |         0.1 |iter: 8/100\r",
      "     4.25 | 5.6333e-05 | 3.6000e-03 |         338 |     6000000 |           36 |       10000 |         0.1 |iter: 9/100\r",
      "     4.25 | 5.8030e-05 | 3.4545e-03 |         383 |     6600000 |           38 |       11000 |         0.2 |iter: 10/100\r",
      "     4.25 | 5.5972e-05 | 3.5833e-03 |         403 |     7200000 |           43 |       12000 |         0.2 |iter: 11/100\r",
      "     4.25 | 5.2051e-05 | 3.3846e-03 |         406 |     7800000 |           44 |       13000 |         0.2 |iter: 12/100\r",
      "     4.25 | 5.2024e-05 | 3.3571e-03 |         437 |     8400000 |           47 |       14000 |         0.2 |iter: 13/100\r",
      "     4.25 | 4.9444e-05 | 3.3333e-03 |         445 |     9000000 |           50 |       15000 |         0.2 |iter: 14/100\r",
      "     4.25 | 5.1875e-05 | 3.3125e-03 |         498 |     9600000 |           53 |       16000 |         0.2 |iter: 15/100\r",
      "     4.25 | 4.8824e-05 | 3.1176e-03 |         498 |    10200000 |           53 |       17000 |         0.2 |iter: 16/100\r",
      "     4.25 | 4.7593e-05 | 3.1667e-03 |         514 |    10800000 |           57 |       18000 |         0.2 |iter: 17/100\r",
      "     4.25 | 4.5877e-05 | 3.1053e-03 |         523 |    11400000 |           59 |       19000 |         0.3 |iter: 18/100\r",
      "     4.25 | 4.7833e-05 | 3.2000e-03 |         574 |    12000000 |           64 |       20000 |         0.3 |iter: 19/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     4.25 | 5.0476e-05 | 3.2857e-03 |         636 |    12600000 |           69 |       21000 |         0.3 |iter: 20/100\r",
      "     4.25 | 5.0455e-05 | 3.2273e-03 |         666 |    13200000 |           71 |       22000 |         0.3 |iter: 21/100\r",
      "     4.25 | 5.2319e-05 | 3.2609e-03 |         722 |    13800000 |           75 |       23000 |         0.3 |iter: 22/100\r",
      "     4.25 | 5.0208e-05 | 3.1667e-03 |         723 |    14400000 |           76 |       24000 |         0.3 |iter: 23/100\r",
      "     4.25 | 4.9267e-05 | 3.1200e-03 |         739 |    15000000 |           78 |       25000 |         0.3 |iter: 24/100\r",
      "     4.25 | 4.8974e-05 | 3.1154e-03 |         764 |    15600000 |           81 |       26000 |         0.4 |iter: 25/100\r",
      "     4.25 | 4.9444e-05 | 3.1481e-03 |         801 |    16200000 |           85 |       27000 |         0.4 |iter: 26/100\r",
      "     4.25 | 4.7679e-05 | 3.0357e-03 |         801 |    16800000 |           85 |       28000 |         0.4 |iter: 27/100\r",
      "     4.25 | 4.6839e-05 | 3.0690e-03 |         815 |    17400000 |           89 |       29000 |         0.4 |iter: 28/100\r",
      "     4.25 | 4.5333e-05 | 3.0000e-03 |         816 |    18000000 |           90 |       30000 |         0.4 |iter: 29/100\r",
      "     4.25 | 4.5108e-05 | 2.9677e-03 |         839 |    18600000 |           92 |       31000 |         0.4 |iter: 30/100\r",
      "     4.25 | 4.4271e-05 | 3.0000e-03 |         850 |    19200000 |           96 |       32000 |         0.4 |iter: 31/100\r",
      "     4.25 | 4.3485e-05 | 3.0000e-03 |         861 |    19800000 |           99 |       33000 |         0.5 |iter: 32/100\r",
      "     4.25 | 4.2598e-05 | 2.9412e-03 |         869 |    20400000 |          100 |       34000 |         0.5 |iter: 33/100\r",
      "     4.25 | 4.1381e-05 | 2.8571e-03 |         869 |    21000000 |          100 |       35000 |         0.5 |iter: 34/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     4.25 | 4.0509e-05 | 2.8056e-03 |         875 |    21600000 |          101 |       36000 |         0.5 |iter: 35/100\r",
      "     4.25 | 4.1441e-05 | 2.9459e-03 |         920 |    22200000 |          109 |       37000 |         0.5 |iter: 36/100\r",
      "     4.25 | 4.0395e-05 | 2.8947e-03 |         921 |    22800000 |          110 |       38000 |         0.5 |iter: 37/100\r",
      "     4.25 | 3.9615e-05 | 2.8718e-03 |         927 |    23400000 |          112 |       39000 |         0.5 |iter: 38/100\r",
      "     4.25 | 3.8750e-05 | 2.8250e-03 |         930 |    24000000 |          113 |       40000 |         0.6 |iter: 39/100\r",
      "     4.25 | 4.0041e-05 | 2.8293e-03 |         985 |    24600000 |          116 |       41000 |         0.6 |iter: 40/100\r",
      "     4.25 | 4.1071e-05 | 2.8333e-03 |        1035 |    25200000 |          119 |       42000 |         0.6 |iter: 41/100\r",
      "     4.25 | 4.1071e-05 | 2.8333e-03 |        1035 |    25200000 |          119 |       42000 |         0.6 |reached target bit errors\n",
      "      4.5 | 0.0000e+00 | 0.0000e+00 |           0 |      600000 |            0 |        1000 |         0.0 |iter: 0/100\r",
      "      4.5 | 0.0000e+00 | 0.0000e+00 |           0 |     1200000 |            0 |        2000 |         0.0 |iter: 1/100\r",
      "      4.5 | 0.0000e+00 | 0.0000e+00 |           0 |     1800000 |            0 |        3000 |         0.0 |iter: 2/100\r",
      "      4.5 | 7.0833e-06 | 5.0000e-04 |          17 |     2400000 |            2 |        4000 |         0.1 |iter: 3/100\r",
      "      4.5 | 8.0000e-06 | 6.0000e-04 |          24 |     3000000 |            3 |        5000 |         0.1 |iter: 4/100\r",
      "      4.5 | 6.6667e-06 | 5.0000e-04 |          24 |     3600000 |            3 |        6000 |         0.1 |iter: 5/100\r",
      "      4.5 | 7.3810e-06 | 5.7143e-04 |          31 |     4200000 |            4 |        7000 |         0.1 |iter: 6/100\r",
      "      4.5 | 6.4583e-06 | 5.0000e-04 |          31 |     4800000 |            4 |        8000 |         0.1 |iter: 7/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "      4.5 | 5.7407e-06 | 4.4444e-04 |          31 |     5400000 |            4 |        9000 |         0.1 |iter: 8/100\r",
      "      4.5 | 5.1667e-06 | 4.0000e-04 |          31 |     6000000 |            4 |       10000 |         0.1 |iter: 9/100\r",
      "      4.5 | 4.8485e-06 | 4.5455e-04 |          32 |     6600000 |            5 |       11000 |         0.2 |iter: 10/100\r",
      "      4.5 | 4.5833e-06 | 5.0000e-04 |          33 |     7200000 |            6 |       12000 |         0.2 |iter: 11/100\r",
      "      4.5 | 4.3590e-06 | 5.3846e-04 |          34 |     7800000 |            7 |       13000 |         0.2 |iter: 12/100\r",
      "      4.5 | 8.2143e-06 | 6.4286e-04 |          69 |     8400000 |            9 |       14000 |         0.2 |iter: 13/100\r",
      "      4.5 | 9.2222e-06 | 6.6667e-04 |          83 |     9000000 |           10 |       15000 |         0.2 |iter: 14/100\r",
      "      4.5 | 8.6458e-06 | 6.2500e-04 |          83 |     9600000 |           10 |       16000 |         0.2 |iter: 15/100\r",
      "      4.5 | 9.6078e-06 | 7.0588e-04 |          98 |    10200000 |           12 |       17000 |         0.2 |iter: 16/100\r",
      "      4.5 | 9.0741e-06 | 6.6667e-04 |          98 |    10800000 |           12 |       18000 |         0.2 |iter: 17/100\r",
      "      4.5 | 8.5965e-06 | 6.3158e-04 |          98 |    11400000 |           12 |       19000 |         0.3 |iter: 18/100\r",
      "      4.5 | 8.2500e-06 | 6.5000e-04 |          99 |    12000000 |           13 |       20000 |         0.3 |iter: 19/100\r",
      "      4.5 | 7.8571e-06 | 6.1905e-04 |          99 |    12600000 |           13 |       21000 |         0.3 |iter: 20/100\r",
      "      4.5 | 8.1818e-06 | 6.8182e-04 |         108 |    13200000 |           15 |       22000 |         0.3 |iter: 21/100\r",
      "      4.5 | 7.8261e-06 | 6.5217e-04 |         108 |    13800000 |           15 |       23000 |         0.3 |iter: 22/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "      4.5 | 1.1458e-05 | 7.0833e-04 |         165 |    14400000 |           17 |       24000 |         0.3 |iter: 23/100\r",
      "      4.5 | 1.3400e-05 | 7.6000e-04 |         201 |    15000000 |           19 |       25000 |         0.3 |iter: 24/100\r",
      "      4.5 | 1.3013e-05 | 8.0769e-04 |         203 |    15600000 |           21 |       26000 |         0.4 |iter: 25/100\r",
      "      4.5 | 1.2901e-05 | 8.1481e-04 |         209 |    16200000 |           22 |       27000 |         0.4 |iter: 26/100\r",
      "      4.5 | 1.2619e-05 | 8.2143e-04 |         212 |    16800000 |           23 |       28000 |         0.4 |iter: 27/100\r",
      "      4.5 | 1.2184e-05 | 7.9310e-04 |         212 |    17400000 |           23 |       29000 |         0.4 |iter: 28/100\r",
      "      4.5 | 1.1833e-05 | 8.0000e-04 |         213 |    18000000 |           24 |       30000 |         0.4 |iter: 29/100\r",
      "      4.5 | 1.2366e-05 | 8.3871e-04 |         230 |    18600000 |           26 |       31000 |         0.4 |iter: 30/100\r",
      "      4.5 | 1.1979e-05 | 8.1250e-04 |         230 |    19200000 |           26 |       32000 |         0.4 |iter: 31/100\r",
      "      4.5 | 1.1667e-05 | 8.1818e-04 |         231 |    19800000 |           27 |       33000 |         0.5 |iter: 32/100\r",
      "      4.5 | 1.1422e-05 | 8.2353e-04 |         233 |    20400000 |           28 |       34000 |         0.5 |iter: 33/100\r",
      "      4.5 | 1.1190e-05 | 8.2857e-04 |         235 |    21000000 |           29 |       35000 |         0.5 |iter: 34/100\r",
      "      4.5 | 1.0880e-05 | 8.0556e-04 |         235 |    21600000 |           29 |       36000 |         0.5 |iter: 35/100\r",
      "      4.5 | 1.0586e-05 | 7.8378e-04 |         235 |    22200000 |           29 |       37000 |         0.5 |iter: 36/100\r",
      "      4.5 | 1.0307e-05 | 7.6316e-04 |         235 |    22800000 |           29 |       38000 |         0.5 |iter: 37/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "      4.5 | 1.1068e-05 | 7.9487e-04 |         259 |    23400000 |           31 |       39000 |         0.5 |iter: 38/100\r",
      "      4.5 | 1.0875e-05 | 8.0000e-04 |         261 |    24000000 |           32 |       40000 |         0.6 |iter: 39/100\r",
      "      4.5 | 1.0610e-05 | 7.8049e-04 |         261 |    24600000 |           32 |       41000 |         0.6 |iter: 40/100\r",
      "      4.5 | 1.0437e-05 | 7.8571e-04 |         263 |    25200000 |           33 |       42000 |         0.6 |iter: 41/100\r",
      "      4.5 | 1.0426e-05 | 7.9070e-04 |         269 |    25800000 |           34 |       43000 |         0.6 |iter: 42/100\r",
      "      4.5 | 1.0947e-05 | 8.4091e-04 |         289 |    26400000 |           37 |       44000 |         0.6 |iter: 43/100\r",
      "      4.5 | 1.1259e-05 | 8.4444e-04 |         304 |    27000000 |           38 |       45000 |         0.6 |iter: 44/100\r",
      "      4.5 | 1.1486e-05 | 8.4783e-04 |         317 |    27600000 |           39 |       46000 |         0.6 |iter: 45/100\r",
      "      4.5 | 1.1525e-05 | 8.5106e-04 |         325 |    28200000 |           40 |       47000 |         0.6 |iter: 46/100\r",
      "      4.5 | 1.1528e-05 | 8.5417e-04 |         332 |    28800000 |           41 |       48000 |         0.7 |iter: 47/100\r",
      "      4.5 | 1.1429e-05 | 8.7755e-04 |         336 |    29400000 |           43 |       49000 |         0.7 |iter: 48/100\r",
      "      4.5 | 1.1200e-05 | 8.6000e-04 |         336 |    30000000 |           43 |       50000 |         0.7 |iter: 49/100\r",
      "      4.5 | 1.1209e-05 | 8.6275e-04 |         343 |    30600000 |           44 |       51000 |         0.7 |iter: 50/100\r",
      "      4.5 | 1.1058e-05 | 8.8462e-04 |         345 |    31200000 |           46 |       52000 |         0.7 |iter: 51/100\r",
      "      4.5 | 1.1698e-05 | 8.8679e-04 |         372 |    31800000 |           47 |       53000 |         0.7 |iter: 52/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "      4.5 | 1.1852e-05 | 9.0741e-04 |         384 |    32400000 |           49 |       54000 |         0.7 |iter: 53/100\r",
      "      4.5 | 1.2000e-05 | 9.0909e-04 |         396 |    33000000 |           50 |       55000 |         0.8 |iter: 54/100\r",
      "      4.5 | 1.1905e-05 | 9.1071e-04 |         400 |    33600000 |           51 |       56000 |         0.8 |iter: 55/100\r",
      "      4.5 | 1.1696e-05 | 8.9474e-04 |         400 |    34200000 |           51 |       57000 |         0.8 |iter: 56/100\r",
      "      4.5 | 1.1494e-05 | 8.7931e-04 |         400 |    34800000 |           51 |       58000 |         0.8 |iter: 57/100\r",
      "      4.5 | 1.1893e-05 | 8.8136e-04 |         421 |    35400000 |           52 |       59000 |         0.8 |iter: 58/100\r",
      "      4.5 | 1.1722e-05 | 8.8333e-04 |         422 |    36000000 |           53 |       60000 |         0.8 |iter: 59/100\r",
      "      4.5 | 1.1639e-05 | 8.8525e-04 |         426 |    36600000 |           54 |       61000 |         0.8 |iter: 60/100\r",
      "      4.5 | 1.1720e-05 | 8.8710e-04 |         436 |    37200000 |           55 |       62000 |         0.9 |iter: 61/100\r",
      "      4.5 | 1.1534e-05 | 8.7302e-04 |         436 |    37800000 |           55 |       63000 |         0.9 |iter: 62/100\r",
      "      4.5 | 1.1354e-05 | 8.5938e-04 |         436 |    38400000 |           55 |       64000 |         0.9 |iter: 63/100\r",
      "      4.5 | 1.1538e-05 | 8.6154e-04 |         450 |    39000000 |           56 |       65000 |         0.9 |iter: 64/100\r",
      "      4.5 | 1.1389e-05 | 8.6364e-04 |         451 |    39600000 |           57 |       66000 |         0.9 |iter: 65/100\r",
      "      4.5 | 1.1219e-05 | 8.5075e-04 |         451 |    40200000 |           57 |       67000 |         0.9 |iter: 66/100\r",
      "      4.5 | 1.1324e-05 | 8.5294e-04 |         462 |    40800000 |           58 |       68000 |         0.9 |iter: 67/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "      4.5 | 1.1256e-05 | 8.5507e-04 |         466 |    41400000 |           59 |       69000 |         1.0 |iter: 68/100\r",
      "      4.5 | 1.2310e-05 | 9.0000e-04 |         517 |    42000000 |           63 |       70000 |         1.0 |iter: 69/100\r",
      "      4.5 | 1.2136e-05 | 8.8732e-04 |         517 |    42600000 |           63 |       71000 |         1.0 |iter: 70/100\r",
      "      4.5 | 1.1968e-05 | 8.7500e-04 |         517 |    43200000 |           63 |       72000 |         1.0 |iter: 71/100\r",
      "      4.5 | 1.1804e-05 | 8.6301e-04 |         517 |    43800000 |           63 |       73000 |         1.0 |iter: 72/100\r",
      "      4.5 | 1.1644e-05 | 8.5135e-04 |         517 |    44400000 |           63 |       74000 |         1.0 |iter: 73/100\r",
      "      4.5 | 1.1489e-05 | 8.4000e-04 |         517 |    45000000 |           63 |       75000 |         1.0 |iter: 74/100\r",
      "      4.5 | 1.1338e-05 | 8.2895e-04 |         517 |    45600000 |           63 |       76000 |         1.1 |iter: 75/100\r",
      "      4.5 | 1.1991e-05 | 8.3117e-04 |         554 |    46200000 |           64 |       77000 |         1.1 |iter: 76/100\r",
      "      4.5 | 1.2372e-05 | 8.5897e-04 |         579 |    46800000 |           67 |       78000 |         1.1 |iter: 77/100\r",
      "      4.5 | 1.2595e-05 | 8.6076e-04 |         597 |    47400000 |           68 |       79000 |         1.1 |iter: 78/100\r",
      "      4.5 | 1.2438e-05 | 8.5000e-04 |         597 |    48000000 |           68 |       80000 |         1.1 |iter: 79/100\r",
      "      4.5 | 1.2346e-05 | 8.5185e-04 |         600 |    48600000 |           69 |       81000 |         1.1 |iter: 80/100\r",
      "      4.5 | 1.2581e-05 | 8.6585e-04 |         619 |    49200000 |           71 |       82000 |         1.1 |iter: 81/100\r",
      "      4.5 | 1.2430e-05 | 8.5542e-04 |         619 |    49800000 |           71 |       83000 |         1.2 |iter: 82/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "      4.5 | 1.2282e-05 | 8.4524e-04 |         619 |    50400000 |           71 |       84000 |         1.2 |iter: 83/100\r",
      "      4.5 | 1.2137e-05 | 8.3529e-04 |         619 |    51000000 |           71 |       85000 |         1.2 |iter: 84/100\r",
      "      4.5 | 1.2112e-05 | 8.3721e-04 |         625 |    51600000 |           72 |       86000 |         1.2 |iter: 85/100\r",
      "      4.5 | 1.1973e-05 | 8.2759e-04 |         625 |    52200000 |           72 |       87000 |         1.2 |iter: 86/100\r",
      "      4.5 | 1.2197e-05 | 8.2955e-04 |         644 |    52800000 |           73 |       88000 |         1.2 |iter: 87/100\r",
      "      4.5 | 1.2060e-05 | 8.2022e-04 |         644 |    53400000 |           73 |       89000 |         1.2 |iter: 88/100\r",
      "      4.5 | 1.1926e-05 | 8.1111e-04 |         644 |    54000000 |           73 |       90000 |         1.2 |iter: 89/100\r",
      "      4.5 | 1.1923e-05 | 8.1319e-04 |         651 |    54600000 |           74 |       91000 |         1.3 |iter: 90/100\r",
      "      4.5 | 1.1830e-05 | 8.1522e-04 |         653 |    55200000 |           75 |       92000 |         1.3 |iter: 91/100\r",
      "      4.5 | 1.1738e-05 | 8.1720e-04 |         655 |    55800000 |           76 |       93000 |         1.3 |iter: 92/100\r",
      "      4.5 | 1.1879e-05 | 8.2979e-04 |         670 |    56400000 |           78 |       94000 |         1.3 |iter: 93/100\r",
      "      4.5 | 1.1912e-05 | 8.3158e-04 |         679 |    57000000 |           79 |       95000 |         1.3 |iter: 94/100\r",
      "      4.5 | 1.1823e-05 | 8.3333e-04 |         681 |    57600000 |           80 |       96000 |         1.3 |iter: 95/100\r",
      "      4.5 | 1.1701e-05 | 8.2474e-04 |         681 |    58200000 |           80 |       97000 |         1.3 |iter: 96/100\r",
      "      4.5 | 1.1582e-05 | 8.1633e-04 |         681 |    58800000 |           80 |       98000 |         1.4 |iter: 97/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "      4.5 | 1.1465e-05 | 8.0808e-04 |         681 |    59400000 |           80 |       99000 |         1.4 |iter: 98/100\r",
      "      4.5 | 1.1450e-05 | 8.2000e-04 |         687 |    60000000 |           82 |      100000 |         1.4 |iter: 99/100\r",
      "      4.5 | 1.1450e-05 | 8.2000e-04 |         687 |    60000000 |           82 |      100000 |         1.4 |reached max iterations\n",
      "     4.75 | 0.0000e+00 | 0.0000e+00 |           0 |      600000 |            0 |        1000 |         0.0 |iter: 0/100\r",
      "     4.75 | 0.0000e+00 | 0.0000e+00 |           0 |     1200000 |            0 |        2000 |         0.0 |iter: 1/100\r",
      "     4.75 | 0.0000e+00 | 0.0000e+00 |           0 |     1800000 |            0 |        3000 |         0.0 |iter: 2/100\r",
      "     4.75 | 0.0000e+00 | 0.0000e+00 |           0 |     2400000 |            0 |        4000 |         0.1 |iter: 3/100\r",
      "     4.75 | 0.0000e+00 | 0.0000e+00 |           0 |     3000000 |            0 |        5000 |         0.1 |iter: 4/100\r",
      "     4.75 | 0.0000e+00 | 0.0000e+00 |           0 |     3600000 |            0 |        6000 |         0.1 |iter: 5/100\r",
      "     4.75 | 0.0000e+00 | 0.0000e+00 |           0 |     4200000 |            0 |        7000 |         0.1 |iter: 6/100\r",
      "     4.75 | 0.0000e+00 | 0.0000e+00 |           0 |     4800000 |            0 |        8000 |         0.1 |iter: 7/100\r",
      "     4.75 | 0.0000e+00 | 0.0000e+00 |           0 |     5400000 |            0 |        9000 |         0.1 |iter: 8/100\r",
      "     4.75 | 3.3333e-07 | 1.0000e-04 |           2 |     6000000 |            1 |       10000 |         0.1 |iter: 9/100\r",
      "     4.75 | 3.0303e-07 | 9.0909e-05 |           2 |     6600000 |            1 |       11000 |         0.2 |iter: 10/100\r",
      "     4.75 | 2.7778e-07 | 8.3333e-05 |           2 |     7200000 |            1 |       12000 |         0.2 |iter: 11/100\r",
      "     4.75 | 8.9744e-07 | 1.5385e-04 |           7 |     7800000 |            2 |       13000 |         0.2 |iter: 12/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     4.75 | 8.3333e-07 | 1.4286e-04 |           7 |     8400000 |            2 |       14000 |         0.2 |iter: 13/100\r",
      "     4.75 | 7.7778e-07 | 1.3333e-04 |           7 |     9000000 |            2 |       15000 |         0.2 |iter: 14/100\r",
      "     4.75 | 9.3750e-07 | 1.8750e-04 |           9 |     9600000 |            3 |       16000 |         0.2 |iter: 15/100\r",
      "     4.75 | 8.8235e-07 | 1.7647e-04 |           9 |    10200000 |            3 |       17000 |         0.2 |iter: 16/100\r",
      "     4.75 | 8.3333e-07 | 1.6667e-04 |           9 |    10800000 |            3 |       18000 |         0.2 |iter: 17/100\r",
      "     4.75 | 7.8947e-07 | 1.5789e-04 |           9 |    11400000 |            3 |       19000 |         0.3 |iter: 18/100\r",
      "     4.75 | 7.5000e-07 | 1.5000e-04 |           9 |    12000000 |            3 |       20000 |         0.3 |iter: 19/100\r",
      "     4.75 | 1.1905e-06 | 1.9048e-04 |          15 |    12600000 |            4 |       21000 |         0.3 |iter: 20/100\r",
      "     4.75 | 1.1364e-06 | 1.8182e-04 |          15 |    13200000 |            4 |       22000 |         0.3 |iter: 21/100\r",
      "     4.75 | 1.0870e-06 | 1.7391e-04 |          15 |    13800000 |            4 |       23000 |         0.3 |iter: 22/100\r",
      "     4.75 | 1.0417e-06 | 1.6667e-04 |          15 |    14400000 |            4 |       24000 |         0.3 |iter: 23/100\r",
      "     4.75 | 1.0000e-06 | 1.6000e-04 |          15 |    15000000 |            4 |       25000 |         0.3 |iter: 24/100\r",
      "     4.75 | 9.6154e-07 | 1.5385e-04 |          15 |    15600000 |            4 |       26000 |         0.4 |iter: 25/100\r",
      "     4.75 | 9.2593e-07 | 1.4815e-04 |          15 |    16200000 |            4 |       27000 |         0.4 |iter: 26/100\r",
      "     4.75 | 8.9286e-07 | 1.4286e-04 |          15 |    16800000 |            4 |       28000 |         0.4 |iter: 27/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     4.75 | 8.6207e-07 | 1.3793e-04 |          15 |    17400000 |            4 |       29000 |         0.4 |iter: 28/100\r",
      "     4.75 | 8.3333e-07 | 1.3333e-04 |          15 |    18000000 |            4 |       30000 |         0.4 |iter: 29/100\r",
      "     4.75 | 8.0645e-07 | 1.2903e-04 |          15 |    18600000 |            4 |       31000 |         0.4 |iter: 30/100\r",
      "     4.75 | 7.8125e-07 | 1.2500e-04 |          15 |    19200000 |            4 |       32000 |         0.4 |iter: 31/100\r",
      "     4.75 | 7.5758e-07 | 1.2121e-04 |          15 |    19800000 |            4 |       33000 |         0.5 |iter: 32/100\r",
      "     4.75 | 1.2255e-06 | 1.7647e-04 |          25 |    20400000 |            6 |       34000 |         0.5 |iter: 33/100\r",
      "     4.75 | 1.1905e-06 | 1.7143e-04 |          25 |    21000000 |            6 |       35000 |         0.5 |iter: 34/100\r",
      "     4.75 | 1.1574e-06 | 1.6667e-04 |          25 |    21600000 |            6 |       36000 |         0.5 |iter: 35/100\r",
      "     4.75 | 1.1261e-06 | 1.6216e-04 |          25 |    22200000 |            6 |       37000 |         0.5 |iter: 36/100\r",
      "     4.75 | 1.1404e-06 | 1.8421e-04 |          26 |    22800000 |            7 |       38000 |         0.5 |iter: 37/100\r",
      "     4.75 | 1.1111e-06 | 1.7949e-04 |          26 |    23400000 |            7 |       39000 |         0.5 |iter: 38/100\r",
      "     4.75 | 1.0833e-06 | 1.7500e-04 |          26 |    24000000 |            7 |       40000 |         0.6 |iter: 39/100\r",
      "     4.75 | 1.0569e-06 | 1.7073e-04 |          26 |    24600000 |            7 |       41000 |         0.6 |iter: 40/100\r",
      "     4.75 | 1.3889e-06 | 1.9048e-04 |          35 |    25200000 |            8 |       42000 |         0.6 |iter: 41/100\r",
      "     4.75 | 1.3566e-06 | 1.8605e-04 |          35 |    25800000 |            8 |       43000 |         0.6 |iter: 42/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     4.75 | 1.3258e-06 | 1.8182e-04 |          35 |    26400000 |            8 |       44000 |         0.6 |iter: 43/100\r",
      "     4.75 | 1.2963e-06 | 1.7778e-04 |          35 |    27000000 |            8 |       45000 |         0.6 |iter: 44/100\r",
      "     4.75 | 1.2681e-06 | 1.7391e-04 |          35 |    27600000 |            8 |       46000 |         0.6 |iter: 45/100\r",
      "     4.75 | 1.2411e-06 | 1.7021e-04 |          35 |    28200000 |            8 |       47000 |         0.7 |iter: 46/100\r",
      "     4.75 | 1.2153e-06 | 1.6667e-04 |          35 |    28800000 |            8 |       48000 |         0.7 |iter: 47/100\r",
      "     4.75 | 1.1905e-06 | 1.6327e-04 |          35 |    29400000 |            8 |       49000 |         0.7 |iter: 48/100\r",
      "     4.75 | 1.1667e-06 | 1.6000e-04 |          35 |    30000000 |            8 |       50000 |         0.7 |iter: 49/100\r",
      "     4.75 | 1.1765e-06 | 1.7647e-04 |          36 |    30600000 |            9 |       51000 |         0.7 |iter: 50/100\r",
      "     4.75 | 1.1538e-06 | 1.7308e-04 |          36 |    31200000 |            9 |       52000 |         0.7 |iter: 51/100\r",
      "     4.75 | 1.1321e-06 | 1.6981e-04 |          36 |    31800000 |            9 |       53000 |         0.7 |iter: 52/100\r",
      "     4.75 | 1.1111e-06 | 1.6667e-04 |          36 |    32400000 |            9 |       54000 |         0.8 |iter: 53/100\r",
      "     4.75 | 1.1818e-06 | 1.8182e-04 |          39 |    33000000 |           10 |       55000 |         0.8 |iter: 54/100\r",
      "     4.75 | 1.1607e-06 | 1.7857e-04 |          39 |    33600000 |           10 |       56000 |         0.8 |iter: 55/100\r",
      "     4.75 | 1.1404e-06 | 1.7544e-04 |          39 |    34200000 |           10 |       57000 |         0.8 |iter: 56/100\r",
      "     4.75 | 1.1207e-06 | 1.7241e-04 |          39 |    34800000 |           10 |       58000 |         0.8 |iter: 57/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     4.75 | 1.1017e-06 | 1.6949e-04 |          39 |    35400000 |           10 |       59000 |         0.8 |iter: 58/100\r",
      "     4.75 | 1.0833e-06 | 1.6667e-04 |          39 |    36000000 |           10 |       60000 |         0.8 |iter: 59/100\r",
      "     4.75 | 1.0656e-06 | 1.6393e-04 |          39 |    36600000 |           10 |       61000 |         0.8 |iter: 60/100\r",
      "     4.75 | 1.0484e-06 | 1.6129e-04 |          39 |    37200000 |           10 |       62000 |         0.9 |iter: 61/100\r",
      "     4.75 | 1.0317e-06 | 1.5873e-04 |          39 |    37800000 |           10 |       63000 |         0.9 |iter: 62/100\r",
      "     4.75 | 1.0156e-06 | 1.5625e-04 |          39 |    38400000 |           10 |       64000 |         0.9 |iter: 63/100\r",
      "     4.75 | 1.0000e-06 | 1.5385e-04 |          39 |    39000000 |           10 |       65000 |         0.9 |iter: 64/100\r",
      "     4.75 | 9.8485e-07 | 1.5152e-04 |          39 |    39600000 |           10 |       66000 |         0.9 |iter: 65/100\r",
      "     4.75 | 9.7015e-07 | 1.4925e-04 |          39 |    40200000 |           10 |       67000 |         0.9 |iter: 66/100\r",
      "     4.75 | 9.5588e-07 | 1.4706e-04 |          39 |    40800000 |           10 |       68000 |         0.9 |iter: 67/100\r",
      "     4.75 | 9.4203e-07 | 1.4493e-04 |          39 |    41400000 |           10 |       69000 |         1.0 |iter: 68/100\r",
      "     4.75 | 9.2857e-07 | 1.4286e-04 |          39 |    42000000 |           10 |       70000 |         1.0 |iter: 69/100\r",
      "     4.75 | 1.0798e-06 | 1.5493e-04 |          46 |    42600000 |           11 |       71000 |         1.0 |iter: 70/100\r",
      "     4.75 | 1.0648e-06 | 1.5278e-04 |          46 |    43200000 |           11 |       72000 |         1.0 |iter: 71/100\r",
      "     4.75 | 1.0502e-06 | 1.5068e-04 |          46 |    43800000 |           11 |       73000 |         1.0 |iter: 72/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     4.75 | 1.1937e-06 | 1.6216e-04 |          53 |    44400000 |           12 |       74000 |         1.0 |iter: 73/100\r",
      "     4.75 | 1.2667e-06 | 1.7333e-04 |          57 |    45000000 |           13 |       75000 |         1.0 |iter: 74/100\r",
      "     4.75 | 1.3377e-06 | 1.8421e-04 |          61 |    45600000 |           14 |       76000 |         1.1 |iter: 75/100\r",
      "     4.75 | 1.4935e-06 | 1.9481e-04 |          69 |    46200000 |           15 |       77000 |         1.1 |iter: 76/100\r",
      "     4.75 | 1.4744e-06 | 1.9231e-04 |          69 |    46800000 |           15 |       78000 |         1.1 |iter: 77/100\r",
      "     4.75 | 1.4557e-06 | 1.8987e-04 |          69 |    47400000 |           15 |       79000 |         1.1 |iter: 78/100\r",
      "     4.75 | 1.9583e-06 | 2.0000e-04 |          94 |    48000000 |           16 |       80000 |         1.1 |iter: 79/100\r",
      "     4.75 | 1.9342e-06 | 1.9753e-04 |          94 |    48600000 |           16 |       81000 |         1.1 |iter: 80/100\r",
      "     4.75 | 1.9106e-06 | 1.9512e-04 |          94 |    49200000 |           16 |       82000 |         1.1 |iter: 81/100\r",
      "     4.75 | 1.8876e-06 | 1.9277e-04 |          94 |    49800000 |           16 |       83000 |         1.2 |iter: 82/100\r",
      "     4.75 | 1.8651e-06 | 1.9048e-04 |          94 |    50400000 |           16 |       84000 |         1.2 |iter: 83/100\r",
      "     4.75 | 1.8431e-06 | 1.8824e-04 |          94 |    51000000 |           16 |       85000 |         1.2 |iter: 84/100\r",
      "     4.75 | 2.0155e-06 | 1.9767e-04 |         104 |    51600000 |           17 |       86000 |         1.2 |iter: 85/100\r",
      "     4.75 | 1.9923e-06 | 1.9540e-04 |         104 |    52200000 |           17 |       87000 |         1.2 |iter: 86/100\r",
      "     4.75 | 2.0455e-06 | 2.0455e-04 |         108 |    52800000 |           18 |       88000 |         1.2 |iter: 87/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     4.75 | 2.0225e-06 | 2.0225e-04 |         108 |    53400000 |           18 |       89000 |         1.2 |iter: 88/100\r",
      "     4.75 | 2.0000e-06 | 2.0000e-04 |         108 |    54000000 |           18 |       90000 |         1.2 |iter: 89/100\r",
      "     4.75 | 1.9780e-06 | 1.9780e-04 |         108 |    54600000 |           18 |       91000 |         1.3 |iter: 90/100\r",
      "     4.75 | 1.9746e-06 | 2.0652e-04 |         109 |    55200000 |           19 |       92000 |         1.3 |iter: 91/100\r",
      "     4.75 | 1.9534e-06 | 2.0430e-04 |         109 |    55800000 |           19 |       93000 |         1.3 |iter: 92/100\r",
      "     4.75 | 1.9326e-06 | 2.0213e-04 |         109 |    56400000 |           19 |       94000 |         1.3 |iter: 93/100\r",
      "     4.75 | 1.9123e-06 | 2.0000e-04 |         109 |    57000000 |           19 |       95000 |         1.3 |iter: 94/100\r",
      "     4.75 | 1.8924e-06 | 1.9792e-04 |         109 |    57600000 |           19 |       96000 |         1.3 |iter: 95/100\r",
      "     4.75 | 1.8729e-06 | 1.9588e-04 |         109 |    58200000 |           19 |       97000 |         1.3 |iter: 96/100\r",
      "     4.75 | 1.8537e-06 | 1.9388e-04 |         109 |    58800000 |           19 |       98000 |         1.4 |iter: 97/100\r",
      "     4.75 | 1.8855e-06 | 2.0202e-04 |         112 |    59400000 |           20 |       99000 |         1.4 |iter: 98/100\r",
      "     4.75 | 1.8667e-06 | 2.0000e-04 |         112 |    60000000 |           20 |      100000 |         1.4 |iter: 99/100\r",
      "     4.75 | 1.8667e-06 | 2.0000e-04 |         112 |    60000000 |           20 |      100000 |         1.4 |reached max iterations\n"
     ]
    },
    {
     "data": {
      "image/png": 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5Tdx4443QatVfbTUaDW688Ub89a9/BaCOLK1/10SsrrnmGtx9992oqanB+++/jxdeeKHBzwgAWLx4cfj76BVXXNHk9x8iIkpi8U54iYiIqE5rR7CWl5dHjXw8++yzm23fVUaw/vnPf44aKbRkyZJ260trz3HDhg1Rffn9738ftf2ZZ56JGtF4//33K0eOHIlq4/V6lZdffjlqxOIDDzzQ5HtGfr1SUlIUAMrkyZOVHTt2RLWrrKxUKisrm9x32bJlLZ7fpZdeGtX/Rx55RKmqqgpvl2VZWbBggVJQUBBuZzQalV27djV5zMivV23/p0+frhw6dCiq3bFjx8KjeSNHh5nNZkWv1ytms1l57bXXokaIejwe5aGHHop6j48//jg8OuzBBx9s8DV59913FUmSwu2ffPLJJvt++PBhJS8vT3nyySeVDRs2KIFAoEGbo0ePKg899FDULOfz5s1r8pj1z81gMCh6vV559tlnFafTGdV24cKFUSOhzzvvvCaPqyiK8tRTTzUYpbl8+XIlGAxGtXO73conn3yiXHHFFU1+9t57772oY910000NRnwGg0Hlgw8+ULKyssLtrrrqqmb7GKv6o1lbUlVVpXTr1i3qs/bGG29EfV7cbrfy/PPPK3q9Ptxu0KBBisfjafSYkf9WRqNR0Wq1ilarVZ5++mnF4XBEtd27d2+bznPx4sVR52mz2RRFUUdczpw5U+ndu7ei1+uV9PR0ZejQocr999+vbN68udXvEzkqvf730M4YwRr5vRGAsnXr1jYfK3IkLgDlu+++a7a92+2Ouo7qj1zfuHFjeFtqamqLdxUoSuMjWBUl+ufyRx991Oi+06dPD7f57LPPFEVROIKViOg0w4CViIioC4klYHW73cru3buV4uJipUePHlHBzsaNG5s9flcIWCsqKqJCk+zs7BZvwW6N1p7jo48+GvVL9VdffRXetmvXrnBwJwhCsyGboijK8uXLw7e6ajSaRm93VhSlwS3/06ZNC9/e2pLWBKyffPJJ1Ps888wzTbbdtWtX1O33U6dObbJt5DEBKHfccUeL/a4fXmg0GmX58uVNtp80aVK4rU6nU4DmS0lEBpE9e/Zssp3P51O8Xm+L/VUU9bb82mOOGjUq5nMTBEFZtGhRk+3nz58f1X7fvn2Nttu6dasiimK43dVXXx3TtVI/KFQUNayPDKT+7//+r9lj7NixIxyeA1BWrlzZ4vu2pLUB64MPPhhuK0mSsmLFiibbfvjhh1HHbur86v9bAWhVqYZYPPfcc1Hfl71er3LnnXc2eN/6n5nbb7895s9mZFh+yy23NNjeGQHrddddFxVWN/bHilhF3u4PQCkuLm62/b///e9w2/79+zfa5owzzgi3ael7t6I0HbAuWbKk2T822Gw2xWg0KgCU3Nzc8PdyBqxERKcXTnJFRETURa1YsaLRSWBqJ/W55557wrdGT5gwAatXr8aIESNiPv6cOXMaPX5Ty4QJE075nFavXo0JEybg6NGj4XVPP/10i7eCdpRvvvkGL774Yvh1Tk4Ozj///PDrF154IXzb9W233Ybp06c3e7wLLrggPGFLMBjEK6+80mIfdDodXnvttfDtre2puLg4/HzkyJH41a9+1WTb/v374+mnnw6//vLLL6NupW9Kbm4uXnjhhVb37Y477sAFF1zQ7PZaPp8PgwcPDt/K3Zif//zn4dnIDx06hCNHjjTaTpKkRm/xbcx9990XnrBnw4YN4VuAW3Lbbbc1mDwt0tVXX41evXqFX3/zzTeNtvvLX/4CWZYBAD179sScOXNiulYsFkuDda+++mq49MKkSZOa/SwA6uR5v/71r8OvX3rppRbftz25XC68+eab4de//OUvMX78+CbbX3fddfjJT34Sfv3yyy/HdIv/pZdeiptuuunUOltPZAmUlJQU/PSnPw1/L9BoNBg+fDgmTpyIfv36hdspioLXX38dl156aYv9rqqqwv333w8AyMjIwHPPPdeu/Y/ViRMnws+7d+8OjUbT5mNFXg/1j92YyAmlmvr3q530qn771po4cSJ69OgBAFi0aFGDEjcffvgh3G43AGD69Okd8r2ciIi6PgasRERECW78+PG45557MGzYsHh3BQDw7rvvYurUqVHL+PHjkZ+fj/PPPx8//PBDuO3jjz+On//8553aP7fbja1bt+J//ud/cOGFF0bNVP/b3/4WBoMBgFr7ct68eeFtDzzwQEzHj/xlf+nSpS22v/TSSxvUTW0PNTU1+Prrr8Ov77333nAA2ZTbbrsNVqsVgBr4fPrppy2+z4wZM2A2m1vdv5/97GfNbh8zZkzU61mzZkEUm/6va0FBAbp37x5+vWPHjlb3qT5BEKL6sW7dupj2a+kzLQgCxo0bF35dW2s3kt/vx/z588Ov77///lOqVfzOO++En7fls7xs2bI2v3dbrFixIlxLVhAE3HfffS3uU1vTFwAOHjyILVu2tLhPR3z/qQ2yAaCsrAxz584FoIZvR44cwebNm7F06VLs3r0bW7ZswahRo8Ltv/76a/zud79r9vgPP/xwuCbzn//8Z2RnZ7f7OcSitlYvgPD3jbaqv3/ksesrLS3F4sWLw68jg9RIN910U/h73uLFi6P+sNcagiDglltuAaD+see9996L2h4Z3tbWXiYiotMP/7xGRETURaWnpzcImQB1ZGRlZSV27twJl8uFlStXYuXKlRg9ejQ+/PDDBiOBmlJQUIChQ4fG3J9YA9x9+/Zh3759zbaZNGkSZs+eHTVatCPMmTMn5pFLd9xxB+65557w6++//z48eU5WVlbMX6vISca2bNkCRVGaDTbbOvlKSzZs2BAe/Qig2RGVtQwGAy666KJwsLd27doW92lL/3U6HYYPH95sm7y8vKjXZ599dovHzcvLi5rwqiUulwtfffUVNm3ahAMHDsBut8Pr9UJRlHCbbdu2hZ/HEtDodDqMHDmyxXaRoXpjfd24cSNcLlf49bXXXtviMZtSWVkZNeHYxIkTY9qvW7duSEtLQ3V1NY4fP46jR492yB8DGhP52Rs4cCAKCwtb3Ofss89GZmZmeITh2rVrW/y36Ijrr3YSukgzZswIB62RzjzzTCxduhRnn312+N/oueeew/33399gAjtA/aNN7cje8847Dz/96U/bufexi/zjVCwT+jWn/v61I0Ib884774RH+Z5zzjno3bt3o+169eqF888/HytXroQsy3j33XdbHLndlFtvvRV//OMfAag/V2p/VpSUlGD16tUAgKFDh7b4fY2IiJIXA1YiIqIuatiwYfjiiy+a3O73+/Hxxx/joYcewpEjR7B+/XpMnDgRGzZsaPQX8/omT57cYGbyzrJly5bwCKx469mzJ5566qkGQUXkSFuv14upU6e2+tg+nw92u73Z0V19+vRp9XFjsXfv3vDznJwc5OTkxLTf0KFDwwFr5DGa0pb+Z2ZmtngbrclkinodS/8j94kMJ+tzu934/e9/j3/84x9wOBwtHrdW5MjEpsRybkDLfY0cgZuZmRnzH04a8+OPP4ZDY61Wi+uuuy7mfSPDwoqKik4LWCM/e635Q9DQoUOxfPnyBsdoTFpaWkzfK1ur/ohuo9EYVYqkvpSUFLzwwgu4+OKLAQBOpxMffPABfvGLX0S183g8uPPOOwGopS7++c9/tjgqvSOlpaWFn9f+Maqt6u/f3GjtWMoD1Lr55puxcuXK8H5tDVgHDBiAMWPGYN26dVi/fj127tyJgQMH4u233w5fW7feemubjk1ERMmBASsREVGCkiQJ119/PUaNGoUzzzwTDocDJSUlePzxx/Hqq6/GrV9PPfUUZs+eHX7t8Xhw6NAhLF26FH/+859RUlKCyspK3HjjjZg/fz6uvPLKDutLY6N0DQYD0tLS0K9fP5xzzjm44IILGq0dGFlnz+Fw4Msvv2xTH2w2W7MB66nc9t2cyFGRmZmZMe+XlZUVfl5VVdVi+7b0P9YaqKeyT+Qo1EgOhwNTpkzBd9991+o+RI7Ya0pbzq2xvkbeIn2qt4BHfpYDgcApfZY7S2d8fjvq2qtfA3fatGktnsPkyZORk5MTrj26cuXKBgHr7Nmzw6HxI488gsGDB7dLf2P549GcOXOQm5sbtS49PT38vLlb+mNRf/+mvl4bNmwIj/SVJAk33HBDs8e9/vrrce+998Lr9WLHjh1Yv349Ro8e3aY+3nrrreEyIW+//Tb++Mc/hktvaDSadq/lS0REiYUBKxERUYIrKirCbbfdFh4h9c477+D5559vdKKbeDAYDOjfvz/69++PGTNmYNKkSdi4cSOCwSB++tOfYuvWrR02Ku5URuk6nc526UPkbfqNaa6u6KmIDANbE/pFto0lUOyo/neURx99NCpcnTp1Km644QaMGDEC3bp1g8ViibpdedasWac0QU5bteft1531WW5PnfH57ajPbmTICyCmyQcFQcBZZ50VDr/3798ftf3w4cPhyayKiorwm9/8pp16i5gC98Zu2Y+8Nf/o0aOorKxs84jgyFIcAHDGGWc02i7yWgwGg+jbt2+Lx66dqLB2/7YGrNOnT8dDDz0En8+HuXPnYurUqeFyOJMnT0Z+fn6bjktERMkhsf5HTERERI2KrCPo8XiwYcOGOPamaampqfjwww/Dt0dXVlbi0UcfjXOvGhc56nTw4MFQFKVNSyy1Izu6/625DT6ybeQtwMng5MmTeP3118Ov//KXv+Dzzz/HrFmzMGzYMGRmZjYIM1vztWtPkV/7Ux05GvlZMJvNbf4sT5gw4ZT60dY+J9rnt344GOsI3Mh29Uffnjx5EoFAAIBa99NkMkEQhCaXFStWhPedM2dO1LbaEgqnKnKiNiC2ms1NqT+B3FlnndWgjc/nw7///e/wa1mWYbPZWlwi/zDw73//Gz6fr019zMjIwKWXXgoAOHToUFTNbpYHICIiBqxERERJoH6QUFpaGp+OxKCoqAiPPfZY+PV7772HzZs3x7FHjYu8Hbb2tt1EEnlb+ZEjR8LhTEsiJyiL1+zkHWXp0qXhyXGKiorw8MMPt7hPW2ceP1WRk3wdOXKk0YmTYhX5WXY6ne02orUjRX72SkpKYt6vK3x+69+6H8tIcCC63q3BYGjXPjWnrX8ouuCCC6JeR4afrX3/999/P/x60KBBKCoqatDus88+iyp30RaVlZX47LPP2rx/ZJBaW6c7NTUVV1111Sn1i4iIEh8DViIioiRQf7ST0WiMU09i89BDD4VvJVUUJapma1cROWt9eXl5g1t2u7rI25J9Ph+2bNkS036Ro9BiubU5kRw6dCj8fOTIkS1OEOR2u2P+urW3yM9fIBDAmjVr2nysM888M+p7wqmMNOwskZ+9zZs3R93m3ZTq6mrs2rWr0WN0ph49ekTdPh9rQHzgwIHw8/r1TrVaLTIzM2NeIida0+v1UdskSTq1Ewzp0aNHeGIuAJg/fz7KyspafZyFCxdGnfvNN9/caLvI8gDTp09v1ejrO+64o9HjtNall17aYETydddd1+V/5hIRUcdjwEpERJQEamdJrnUqM453hpSUFNx///3h1wsWLMD3338fxx411KNHj6hbfeNRh/NU9OvXL2oUZCyjy3bu3ImNGzeGX59//vkd0rd4iSWki/Tee+/FPPqwvRUUFGDQoEHh16+99lqbj6XT6aJu70+Ez3LkZ6+6uhpffPFFi/u899574RHKGo0G55xzTof1ryVXX311+PnixYtbbH/8+HFs3bo1/DoyYAeAIUOGoKKiIuYl8vb9G2+8scltp+rBBx8MP3e5XHjggQdatb/H44naJzU1FXfddVeDduXl5fj888/Dr6+77rpWvc/1118ffv7555+jvLy8VfvXkiQJ06dPj1rH8gBERAQwYCUiIkp4e/fujZrIKT8/H8OHD49bf2J13333ITU1FYA6ivX3v/99nHvUUGR48Pzzz2PHjh1x7E3r3XbbbeHn//znP6NGcDYmsnRDTk4OLrvssg7rWzxETkKzdu3acBjXmOrq6nadSKgtfvnLX4afv//++/j666/bfKzIz/LcuXPbrQ5nRxk4cGBUQPrb3/622TIXDocj6nvI5ZdfjpycnA7tY3Nuu+228CRa27dvx6efftps+2effTbq/K688soO7V97ufjii6Nuj3///ffxpz/9KaZ9A4EApk+fHlXW4Zlnnmm0du7cuXPDfyAxm82YNm1aq/o5ceLE8MhTv9+PefPmtWr/SH//+9+jRsfWL5VARESnJwasRERECcrv9+ODDz7AhAkTomoqPvHEEy3e+twVpKWlRQVIH330EX788cc49qihmTNn4swzzwQA1NTU4KKLLsKqVata3O+HH37AHXfcgTfffLOju9isX/7yl+HJglwuFy677LJGb+FVFAVPPPEEFixYEF732GOPtWr29kQwfvz48PPDhw/j6aefbrRdeXk5LrnkkrjVX6112223hUdRK4qCa665BgsXLmx2n40bN2L+/PkN1k+ePDkcSgWDQVx11VX46KOPWuxDSUkJHnnkEfzhD39owxmcmieffDL8fMuWLZg1a1ajExTZ7XZcc801OHbsGAB19OoTTzzRaf1szODBg6Nudb/99tujRqhGeu+99/DCCy+EX1988cUYOXJkh/exvbzxxhvo3r17+PXjjz+Oe+65p9nJyUpKSjB16lR8/PHH4XVXXXVVo6NXgehR15dcckmrb8nXarVRQXAijOImIqLEom25CREREcXD1q1bMXXq1Abrg8EgqqursX37drhcrqht1157Le6+++6Yjr948eJGj9+cq6++GnfeeWer9mnOgw8+iL/97W9wOp1QFAV/+MMfTmlkUXvT6XT46KOPMGbMGJw8eRLHjh3D+PHjMWnSJFx22WUYOHAgUlJSUFNTg9LSUmzevBlff/11eKRrvEOSgoICvPjii5g5cyYAYNu2bRg8eDDuvPNOnHfeeTCZTNi9ezf+9a9/RdXlPO+886JGPCaLoqIiXHHFFeHRhLNnz8a6detw0003oUePHrDZbFi9ejVee+01VFZWoqCgAMOHD8eiRYvi0l+DwYD3338f5557LmpqauBwOHDZZZdh0qRJuOaaa9CvXz8YjUaUl5dj8+bNWLhwITZv3oz7778f1157bYPjvfvuuxgzZgz27dsHm82Ga6+9FqNHj8bVV1+NYcOGwWq1wuVy4cSJE9iyZQtWrFiBDRs2AAB+9atfdfbp49JLL8Vtt90W/kPF3LlzsXHjRvz85z/H0KFDIcsyNm7c2GB09mOPPYYxY8Z0en/r+8tf/oJVq1ahpKQE5eXlGDNmDG6//XZMmTIF6enpOHz4MD788MOokDErKwuvvvpq/DrdBhkZGVi6dCmmTJkSrqX60ksv4f3338e1116L8ePHo6CgAD6fD4cPH8YXX3yBhQsXRk3qNW3aNLz33nuN/nFw69atUbWQW1seIHK/N954A4Ba13fbtm0YOnRom45FRERUHwNWIiKiLqqqqgpffvllTG11Oh2eeOIJPPnkk9BoNDHtc+zYsfCIr1gNHDiwVe1bkpWVhbvuugvPPvssAPX20tmzZ6N///7t+j6nonfv3li7di2uuOIKbN++HYA6G/3SpUvj3LPY3HrrraiursYDDzwARVFQWVmJZ555psn248aNw2effRa+vTnZ/POf/8TmzZtx+PBhAMCiRYsaDVCtVis++OCDU6p92h6GDh2KFStW4NJLLw2PPm7r5y8jIwNr1qzBtddei9WrVwMA1q9fj/Xr17drn9vTK6+8Arfbjffeew+AWif4oYcearL9vffeG5fRto3JycnBokWLcPHFF+PQoUPwer0oLi5GcXFxo+0LCgqwYMEC9OzZs5N7eur69euHNWvWYNasWfjqq68AACdPnsSrr77abGCs1+vxxBNP4De/+U2T33MiR5sajUZceumlberjhRdeiPT09PCkkHPmzAn/7CEiIjpVyfk/ZyIioiQmCAJSUlJQVFSEK6+8Ei+88AIOHz6M2bNnt9vs0J3pkUceCd/uKctylwlHIvXp0webNm3Ciy++GDU7eGMsFgsuv/xy/Pvf/8asWbM6p4MtuO+++7BmzZpmJ63Kzc3Fc889h2XLloXLCiSj/Px8rF27Fpdffnmj20VRxMUXX4zNmze362RAp2LEiBHYvn07HnvssUbrU9YyGAy4+uqrm5yFHVBDv+XLl+Ptt9/GkCFDmn1fvV6PCy+8EK+99lrU7fqdSZIkzJs3D++++y769OnTZLshQ4bg008/xYsvvtilSqQMHDgQ27Ztw1133QWLxdJoG4PBgLvvvhubNm3CiBEjOrmH7Sc/Px9ffvklFi1ahMmTJ7dYYiQtLQ3bt2/HU0891WS4GggEMHfu3PDrqVOnwmw2t6l/kiRFlQmYO3dus3V9iYiIWkNQFEWJdyeIiIiIEsmePXuwYcMGnDhxAg6HA2azGbm5uRg4cCCGDh3apYPuo0ePYtWqVSgtLYXX60V2djYGDx6MMWPGJO2o1abs378fK1euRGlpKYxGI7p164Zzzz0X3bp1i3fXmhQMBvHdd99h586d4ZnQMzIyMHDgQIwePbrVtSmPHDmCb7/9FmVlZbDZbDAajcjOzkb//v1x5plntvp4HW3btm3YtGkTTpw4AUEQkJubi7PPPhv9+vWLd9da5HK5sGLFChw8eBCVlZVIS0tD3759cf7553e5r3N7cDgcWLNmDY4dO4YTJ07A7Xbju+++i7oz44477ki4kghERESNYcBKREREREREHc7v9+PKK6/E559/Hl73m9/8Br/73e/i2CsiIqJTx4CViIiIiIiIOoXb7cbFF1+MVatWhde99NJLuOuuu+LYKyIiolPDgJWIiIiIiIg6jd1ux8SJE7Fp0yYAau3jDz74ANdee22ce0ZERNQ22nh3gIiIiIiIiE4fqamp+PLLL1FcXIza8T579uyBz+drcXIsIiKirogjWImIiIiIiIiIiIjaiCNYk5Asyzh27BhSUlIgCEK8u0NERERERERERJRQFEWBw+FAQUEBRFFsti0D1iR07Ngx9OjRI97dICIiIiIiIiIiSmiHDx9G9+7dm23DgDUJpaSkAFA/AKmpqXHuTfvz+/346quvMGXKFEiSFO/uEFEMeN0SJRZes0SJhdcsUeLhdUvU9dntdvTo0SOcszWHAWsSqi0LkJqamrQBq8lkQmpqKn8QESUIXrdEiYXXLFFi4TVLlHh43RIljljKbzZfQICIiIiIiIiIiIiImsSAlYiIiIiIiIiIiKiNWCIgifn9fvj9/nh3o93VnlMynhtRsuJ1S5RYeM0SJRZes0SJh9ctUdfXmutTUBRF6cC+UCcqLi5GcXExgsEgdu/ejXnz5sFkMsW7W0RERERERERERAnF5XJhxowZsNlsLc5xxIA1CdntdlitVlRUVCTtJFeLFy/G5MmTWQycKEHwuiVKLLxmiRILr1mixMPrlqjrs9vtyMrKiilgZYmAJCZJUlJ/o0728yNKRrxuiRILr1mixMJrlijx8Lol6rpac21ykisiIiIiIiIiIiKiNmLASkRERERERERERNRGDFiJiIiIiIiIiIiI2ogBKxEREREREREREVEbMWAlIiIiIiIiIiIiaiMGrERERERERERERERtxICViIiIiIiIiIiIqI0YsBIRERERERERERG1EQNWIiIiIiIiIiIiojbSxrsD1HH8fj/8fn+8u9Huas8pGc+NKFnxuiVKLLxmiRILr1mixMPrlqjra831KSiKonRgX6gTFRcXo7i4GMFgELt378a8efNgMpni3S0iIiIiIiIiIqKE4nK5MGPGDNhsNqSmpjbblgFrErLb7bBaraioqGjxA5CI/H4/Fi9ejMmTJ0OSpHh3h4hiwOuWKLHwmiVKLLxmiRIPr1uirs9utyMrKyumgJUlApKYJElJ/Y062c+PKBnxuiVKLLxmiRILr1mixMPrlqjras21yUmuiIiIiIiIiIiIiNqIASsRERERERERERFRGzFgJSIiIiIiIiIiImojBqxEREREREREREREbcSAlYiIiIiIiIiIiKiNGLASERERERERERERtREDViIiIiIiIiIiIqI2YsBKRERERERERERE1EYMWImIiIiIiIiIiIjaiAErERERERERERERURsxYCUiIiIiIiIiIiJqIwasRERERERERERERG2kjXcHiFpL++JQXFZTAfFHHSBKgKgFNJL6XKMNPUau19ZrU28fUdP0Nk1o3ya31XufpvrR0vsLQry/rERERERERERE1AYMWJOY3++H3++PdzfandbvgUbxA77kOTclHOLWD20jAmBBC0XU1AW2TT7XRq1XGmsjNLd/U/vUf4+61033q2F/6o7HAfSnk9rvRcn4PYkoGfGaJUosvGaJEg+vW6KurzXXp6AoitKBfaFOVFxcjOLiYgSDQezevRvz5s2DyWSKd7fa3bl7noEu6ISgBCEqgdCjXO91UH2EHO/uUhMUCFAEETI0UAQRiqA+yoIWiqCBLGggC9qoRRE0kEVtvfVqO0VsuE7dJ/RarNum1DuuLNZvH3GMiOMyFCYiIiIiIiI6PbhcLsyYMQM2mw2pqanNtmXAmoTsdjusVisqKipa/AAkIr/fj8WLF2Py5MmQJKn5xooCyH5ADgDBgPo8GHot++vWyQEI4ef+RtqGlqAfQtR+tc8DEcf0R7QNxPT+QsTx6x4jnitBQA6q/ZQDnfOFpgYUQQQ0utAIY506sjjyUZSgRK2v10bUQYnaR2pmtK+2biSxRhs9kji8n6ZuxLOogSJGlqSIGK2saeI9OrE0RauuWyKKO16zRImF1yxR4uF1S9T12e12ZGVlxRSwskRAEpMkKam/Ucd+froO70unUpRw2Fq31H/d2LqO2udUj1HvdTAUQgd9dY9y17htRlBkIOBpvk0n9aVdCGJEQNtMEKuRIso7RIS7UQGxptljiRAx8NgB6L/bDo3OUBdAh8Pq+sF0I+traxhHra/dpon3V5MoKSX7/yWIkg2vWaLEw+uWqOtqzbXJgJUo0QhCKHw6jS5fRYkOW8MBrC+G57Fsb8fjdZEwOCaKDAS96tLBNAAGAMDxTzvmDWpHF4dHC9cbXRwZxtYPaRu0bU3AW//YMR6TgTAREREREVHSOI0SGiJKWIIAaHXq0tUpSmgkboyBbbh8RESZichRvcHI1/66Ub/1y1e01D6yBIUcjNhW//2bOlaga4fHtaOLWxhh3GXUjh5uMoSNYdRua9o0Olq4FW06uaQEERERERFRImHASkTUngShLpiCOd69aV+KogaZMYe1dQFtwOfGum/XYMzI4dAKcuMjh+XGRgk3EVaHQ+zWtPXF+ytYpxNHD7ebWINasf66lgLhesdrdvRxc8evt7/ISemIiIiIiKhzMGAlIqLYCII6yZaoAbT6Vu2q+P0o/9EOpd8UIF41pqJGF8ca8DZSE7h+aNtoyOutey7XP0Ysx/N3vfC1q4XULRE0jYe8LQa4LY301QOSAdBGLOHXekBrVB8lY8PXHAlMRERERJSUGLASEdHpIWp0cQKondCu2VDX30JQ21FtImoOB3x14bQix/urVkcJAgG3unQVgth8ANtRrzUSg10iIiIiog7EgJWIiKgriprQzhTv3sSmtj5wk6OC6we5TY3ujWX/WI7f2MjgOE5Kp8iA36kunZr7Cq0OaEWNDmccOwpx1Y+AztRE+/ojeOu91ugY7BIRERHRaYEBKyWcO//7Lxw7cRwf//cEjFoD9FodDFo9jFp96NEAk6SHSaeHWTKGnxslLfRaDfSSCJ1GhF4S1ddaEXqtCIG/BBIRnRoxVEJCMsS7J7FpMCldoIVw1quO2A24gYAX8IceG7z21C1+T2yvoXTkiQJ+l7qgKqY9NAD6A8Dxz07hfYWIwLU1I29bCG6jXnPELhERERHFHwNWSjjra+YAKQ4cbeXoH0XWAIoWiqIFQosia8PrREWCKGghQoIoSNBAB60gQSNKkAQdtKIESdRBp9FBJ+qg0+ih0+ig1+hg0Bpg0EQEvZIeJikU9EoGmHUGmENBb23Iqwa7EYEvQ14ios7VVSalUxQ1yG1NINtosNuG1x1a1kGJKNMQW7DbPpoasdua4JbBLhERERHFjgErJRwFfrTl1xdBDAIIQkDzE8fIoSUANN4yskErKYoAKLVBrwTIGvVR0QCKBEHRQhQkNeSFBI2gLlpBB52oh06jh15jCC3qaF2jZIBJawwFuUZYdEZYdCak6k1I0Rth1Ztg1ulg1Glh1GlglDQwSBpoRP4SSETUJQhCKKTTAwZr571v7Qje+gFswIOApwZrVy/H2JHDoVX8TQe0MQXCcQh2Wzlit320vhRDu7xmKQYiIiKiuGPASgnnvjMfwpYdW9G9Vw94ZT88AS+8QV/o0Qtf0A+f7IU/6INP9sEv+xCQ/QgoPgQUP4KKH0HFBxkByIofMvyA0DkTswiCAggBAAEI8DTZrtkMt3ZjK0oHKooIyFooii70KEFQdKEgVw+toING0EES9JBEHSTREApz9TBoDDBoDWqYqzWoZRd06mOKzgSzzohUgwmpeiNS9SakGoww6bQwSmr5BZFBLhFR19TMxG+K34+KlBNQ+l4ESO08MVxUsNvKYLY1AW9j+3WxUgztI1SKoaVAtrGRuJIp9NxY9xj5POrRVDd6l6N1iYiIiKIwYKWEc9uw67DoiAmXnH0JpHb6pS8gB+AL+tRF9sEb9MIf9MMbVENbl98Lp98Dp9cDV8ALl98Dt98Ld8ALj98DT0ANeD1BL3xBXyjoDQW8QTXk9St+BOTakNeHoBKADF8o5A1AETpushVBkAGNDwJ8DbbJQHitu/6GVga5QO0oXS0UWQcoWgiKBAE6iNBBAzXI1Qp6SKK66EQ1yNVr9KFSC8ZQmGuESTLCLBlgkkyw6IxI0ZuQUjs612CESdJBL4kwhMJcnYZlFoiIuryoYDe1895XUdRaulFBbStr5bbldWcEu7WlGDzVHfg+EQSxLrQNh7SGiCDX2HRYG0uAG/komRr9IwARERFRV8KAlQiAVtRCK2phkuI3U7eiKPDL/gYBrTfohdvvQY3PDZvHBYfPjRqvGzV+F1w+N5x+txr4Bjzw1C5BL3yyB76gF37ZC7/iQ0D2IggfgooXMvyQ4euQkbvqKF0/BDE6mW0yr21jkAsgVENXgiJLgKyDokgQFTXMFaEPh7nRga4hXGbBoDGEw1yj1gCzzgSzZIBZMsESCnNNOh0MobIKeq0Yeq7WzzVIIgxaDUfpEhElAkEAtDp16UzhYLcVAe2p1tatfa0EO+icZMDvVBec7Jj3iCRoYg9rJWPjQa9kqvfYxDaGuURERNQGDFiJughBENQJtDQ6WGDplPf0y354A154gmow6/J7YPc64fC6Yfe6UONzocarhrtOv7rUBrm1j76gBz7ZGyrH4EVA9qrlGOCDHApzFcEHCO3/S54ghsotaKJnPFMABENLwzG7ERtjoJZXkELlFUJhrqJrEOqqo3P10Ir6UM1cg7po9NBrjDBo9DBo60bnGkNBbqreiBS9ASkGHUw6LcyhWrlmvQZmnRYmnQZmvZaToBERJaqoYLcTR+wCQDDQTGmF0KPfFVFSIfTodzdsFwi1jVoXalv7PNjoT91TpwQBX426dDRRWy+ErRfMhkfb1g9r669rIcgVNR1/LkRERNRpGLASncYkUYKkkzol0A3KQXU0bsANp88Nu88Nm9sFh88Fh9cFh1cNcB0+F9x+D9yBujDXE3TDE6gdleuBT/YgoKiBbhBeteQCvFDggyK0YfaxZqjlFbwtTo4G1OW2XgDO+htrazE08bunomhC9XG1gKINhbq1I3TVdbW1crWiBEnQQdLUllfQhUosqGUWzJIeRskIi04Ps2SERW9Ait6IlFCdXKvBCKvBhHSjEWadEVqRPwqIiJKSRgtoUgB9Sue8nxysF9LGENw2CHibCH2jAt7QOrkDyivJAcBrV5eOpNE1E8jWhrnNjcCt116QYPEcA+zHAHMaoLMwxCUiIupE/K2aiDqFRtTAJJpgkkzINHbc+9QGua6AK1wywR1Qg1u7142a2pG54VG5LrhCI3PdATc8AQ+8QXVRR+Z64Zc9CCih0bnwquUV2pkgBAFNsMUgNzLEDTuFMgsAAEVU6+VCgggJGkEHjSBBK+hCk57poBP10Gl0MGj00Gv1MGr1oVG4BhglAyw6A8y60GhcnRF6bV1tXZ1GB62iRUWwAhXuClhhhVFr5IhcIqJkI2oAnVldOkPtCN0Go2ojQ1pX3evakDdqW8S6qMd669q97z518dja5XASgAsBYMfjdSu1RvXfQm8BdCkRz0NL+LlZDeF15nrr6z3v7PIaRERECYQBKxEllcggt6MoigJv0BsaXVsXzNY+r33t9Km1cmt86qhdl98FZ8ToXHfADW9AnUjNL4cmRZN9CMi+0KhcP2TFDwgdOTkK1Fq8gg8KfNHVEyJrLbSTv/73r7VvCkkwQBKM0GtM0GuMMGpMMGlNMElmmCUTUnQWpOgtSNObYTWkIM2QghSdGWbJDJNkglkbepTM0Gv0DGyJiE43nTVCV1FCZRaaC2QjtgViDG3D6yL2a0+1k5+5KtrneBpdKIStH9bWBrSWJgLdyOeh/fUWtdwCf3YTEVGSYMBKRNRKgiDAoDXAoDV0+HspioKAHIAn6AlPfuYNeuENeFHjd8PhccPu9YTKLNTWy1Xr6br8Xrj9bngCPnX/gE8dlRsKdAOKHwHFh6CiTnomww8FfkAIqJOUCQF10rKOOTP4FTf8ihsuubLto2/DhxOhFQzQCsZQaGuEXjTCoI0IbbV1oa1Vb4ZVb0GaMQUZRgvSDCkwS+bwotNwlA4REYUIgjppltTBP/dlOaKcQhMBbtTI27rHoNeJoyW70T0nHaLfCficgLcG8DnqngdbLnfUrKAPcPsAd1X7nK+giRgl28jo2ZZG3+pTAYNVXfSpgCi2T7+IiIjagAErEVEXJggCJI0ESSMhBR1fQ0+WFbj9QTh9Abi8Adg9Ptg8Lti8btg9aq1ch88Np88Dp9cDp98dDnM9QS88fm+oxIIvPPGZX1YDXEH0QRC9gOgNPaqvw89PJcwVZATgQkBxwaMADjm0vq2/SyoaiDBAAwO0ggE6wQidaAxNWGaCUWsKh7EWyQyLzgSrIUUNbQ0WZJhSkGWyIsuYCovezDq3RETUMlEEdCZ1QWardpX9fmxetAj5l1wCUZIabxT0qxOFeUMThvmcgDcUwPpq6j2vqZtYzBtq63NEPK859dIJShDw2tTllAlqyGoMBa6GtLrwtckloo3OwoCWiIhOCX/jIyKiMFEUYNZrYdZrUZfnZpzycZ1uLz5d9AXGXTAJfkWAyxuEyxeAyx+EyxuE0+uD3edCtbsGDl8N7D4nanxOuPzOUD1dFzxBF7yyGz5ZHfkaUDyQ4QkFtqHwVuMNhbanWCdXCEKGEzKc8ANwn2q5BFkHAXpoFCO0ggGSaIJeVMsjqKUR1LA2RWdBis4cCmvV0bUZplRkmVKRbU5FuiEFWg1/dBMRURtoJMCYri7tQQ7Wha3hsLam8dGzUWFtU+1roNYnagvl1MJaQYweEVs/hDWmNR/W6iwsd0BEdJrjb2mUcNxbvofh4EF4d+2CbDZDNBggGAzqo14PgX99JupydFoRJi2QbzVAampkTRvIsgJPIAiXLwi3LzTy1qcGtlXuGti8Naj21MDmqUGNz4kavxNOvxMuvwvuYCi0DbqiQtsgPJChjrStHW0riKdYw0BUa9wG4EAAgAehUbZtmZxMliAoRojQQwO1JIJONEIvqiNrjdq6UgepOgtS9RZYDSnIMKYg3ZiCLGMqssxqaGvUtd+/BRERnWZEDWBIVZf2oCjqqNhYRs96HYDXrk4SVn9xVwNyK3+4KjLgqVaXthBqvxZNjaCt/zpiMaYBkokBLRFRgmPAmsT8fj/8/lMtbNj1lD34IHpWVODwSy83ul3Q6yGEwtba8FUwhJ7ra8NYPQSDMdQm9LyxNnoDBKMBYu0xI4Ncg4FhLlGMar8XdcT3JEkArHoRVr0IdR7lWqc28tYflOH2BeHyB+Fwe1HlqUGVpwbVHgds3ho4fC44fGpw6/S74Aq44A7UhbbeUGjrVzwIwh0abesJlUOQW+5AU0S1Vm7tgFofACeghrW+0BIjRdZBkA3hsDZcw1ZUSyEYtOpkYmbJjBTJHKpfq5ZBSDemIsNgQZbJihxLCix6iRONJZGOvGaJqP0lzTUr6ABDhrq0laKotWo9NsBrh+CpDoevgseujnL12CCEtoe3eW2Axw54qiHIgVa+Z1CtTdvG+rSKqA3XklXCdWWtgKH2dToUUyZgzgJMWVBCjxw5m9iS5rolSmKtuT4FRVE6eHpq6izFxcUoLi5GMBjE7t27MW/ePJhMHTeTerz0mT0bGrcn3t0AAMhaLRRJC0XSQZYkKJIUflSfR2+L3B61TidB0YYeGxxDfWRdKKLEpyiAN6jAGfTDEfShRvbAGfTBKXvhlr1wyV54FHXxKT74FA/88MEveBCED0HBA1nwQRE8UGpH2HbYRGStOS8BkPWAbIAoG6FRDNAqBmhhgB4G6AUDDIIBJtEAc2hJ0eiRqjEgVWtAutYAA0sfEBFRV6Ao0Mg+SEEnpKCr0UUb2qYLuiAFnKF1ddtFnMIfUlshKEjwaVPg1abCq00JP/dpU+CVUkPP1W1ebSqCop6BLBFRK7hcLsyYMQM2mw2pqc3fscGANQnZ7XZYrVZUVFS0+AFIROUvvogD23egR24uBJ8PstcDxeOF4vGoz90eKF4vZI8Hikd9rnhPcdbULkAwGiAajRCMJogmEwSjEaKp/nMjBJMJYuh1k8+NobYchUudxO/3Y/HixZg8eXK7lgg43QWDMirdLpS7bKh0OVDptqujbL0O2L0RtWwDaj1bT9AFT9ANn+xSSyLAjSA8amArxDesVWQtBMUIjWKCJJigE00wiGYYtZZQfdoUWHUpSDOkIsOYiiyjFdkWK/LM6cixWJGqs3AEbTviNUuUWHjNdiGKAvidodGwtSNjI0bNetRasUJou/o8NHq2dnSt0jEBraI1qCNgTZmAORswZYZGw2ZCMamv60bIZgI6c4f0g1S8bom6PrvdjqysrJgCVg4XSWKSJCXlN+rs++7D+kWLMPqSS2I+P0WWo0JX2e2B4o14rF3v8ULxuOs9Rm5v4tHrheJ2q4+ejhldq7g9CLo9ANp261FThFBIK0YEtqLRCNEcGd6a67aZGgt2zdHrDQYGHdSoZP2+FC+SBBQY9ChIP/UJSxRFgcPnRIXTERXYVnscqPY4YPc64fDVwBmqY+sOqpOPeWVnKLB1IQgXFNENCK2fDUwQAwAcCMKBINQ6tXYFao1aP4CWJqtWBEAxQqMY6wJajQVGrRkWbQosOgvS9KmhgNaKbLMVOWYrcixpyDGnIVWXCknDz2Z9vGaJEguv2S5CpwPMbfzZrChqndnaerKearX0gLNCXVwVgLO83usKtUxBC4SAB7AfgWA/EltfJJNaisBcu4RCWHN2468lY9vO+TTH65ao62rNtcmAlU4LgiiqYaCx43/oK4qihrlutzp6tl4g23hI64Xscdd7jNjH7YLickN2udTF7W63IFdxuRB0udo8OXqjBEEdbWuuDWxN0eGtydREgKv+Gwn62hq4+rrnhohauDodR94StTNBEJCqVyfF6p2Rf0rHcvs9KKupQpmjCsed1ahw2nDSbUeV2wab1w67z4Eafw1c/hq4gzVRAa0suiGIbbjrQFAAQT1GECfVgLa2UK0XoUK1LVAkaBQTtIIROsEMg6Z2BK0FqboUpOpTkGVMR35KFnqk5qBXWg5yzJlI1aXyj0pERNQ+BAHQp6iLtXts+8ihSboiA1dnOeA6GRHGRrx2nVQn9mqJ3wXYDqlLLCRzvTC2fjgb8dqUBUiG2I5LRJQAGLAStTNBEMKTYXUkJRiE7FZDVyUieJVdLsjO2udOdbvbra6LbONyhYJbV9S2dimnoCiQXS6gvYPbCIJOFxW6igY9BJ2+4Tq9AYJeB7H+5GV6XXhSs9p1DHWJ2odRMqAoPR9F6W0Laj1+P8oc1SirqcaJmmqUO2046a5GpccOm8cBu88eDmg9shPeoLMuoBXcgMYDoQ2jaCH4ERRsCMIGLwBHZEDbHEWERkmBXkyBUbTCIqUhTZ+ODEMGcsyZyLNkoXtqNgrTcpCfksVAloiI2pcoAqYMdUH/ltvLsjoqNmo0bP1ANmK0rKsSQAxlhPxOoNoJVB+Mrd+6lOjAtUEYmxkdzGr1sR2XiCgOGLASJShBo4HGYoHGYmnX4yqBQCiErRfQ1oayrkYC2gbrI/YNrVd8rZjaPJZ++nxQfL5OmkJAdcqhrkGvtgsHuLWjec2hxQSN2QxBp+vEsyLqegyShMKMbBRmZLd6X0VR4PYFUe6sUUfQ1lShwmVDhduGKrcD1R5baAStAy6/E+5gDbyyC37FGQpoPRBENwRNK75nCTKCgg0u2OCSj+CkFzjoBWBvqpMaaBQLdEIqjJpUWLRpsOrTkWFIR7YpE/mWLHRLzUavtFz0sDKQJSKidiaKofAyE8ge0HJ7ORgqU9BUGFvvtbsytn74HOpSVRJbe31qqCRBZHkCBrJE1DUwYCWiKIJWC01KCjQpKe16XMXvV4PXiNG0itvVMLgNlT9QfF61Bq7XU1cL1+uB4vXV1b1t5BFyx0WunRXqCpIUEbpGLBaLWloh9FrTWJv6i8nEkbd0WhEEASa9Fr30aeiVkQagqFX7y7IChzeAKqcbx502HA+PoLWh0l2Nk65qVHkrYfNVwxmohke2w6/YIYs1ELTO2EbOCkEEBRvcsMEtA5U+AD4AjibaKxqIigU6oW6EbKqUhgxjJrJNGcgzZ6J7ag56WrPRMz0HaXoGskRE1I5ETd3o0lgEA2rIGmsg66mO7bheu7rEGsg2NULWFAplzZkRzxnIEtGpYcBKRJ1CkCRoJAmaFmbeO1WK318XuoYD2lAwG37uDde+DQe5tQGuxxt+VLzehutqw1yvt8NCXcXvR7C6GsHq6nY5nhCqeasx1Ya0jYWxsQW3gl7P4IaSmigKsBolWI0SCrNSAfSIaT9/UEZljRdHbFU4ZDuBo45yHK85iROuk6jyVMLmq0JNwAZP0A4/7AgKrQtkZcEGD2zwKEdQVRvINlVXNhTISkiFUUyFWWuFVZ+OdH06skIjZAtSstErTa0jm2FkIEtERO1IowUsOeoSi6A/FLg2Er6Ga8pGPI81kG3tCFkGskR0ChiwElFSqQ1y0c6lE5qiKAoQGerWC3Kjgl6vNxTcqutkj1udZMzphFy71EQ8Dy2nWl6hbiKzilM/Ya1WLWtgCQWxphhG0ZpNUPQGGA4fhq+kBEJGBsSUFIh6/qeUkoekEZFrNSLXasRIFLTYPigrqHb5cMR2Egery3HUXo4yZwXKnZWojAhk3UEbfKERstDUQBBi+INOKJD1hmrJVgeAowGogWxjd20qGoiyGsjqNamwaNKQIlkRsAfx/So7+mb0woCsHhiQ1Q0WA0uYEBFRO9NIQEqeusSi0UC29nlXCWTrPeekXkRJjwErEdEpEAQB0Omg0emAdi6rUEvx+8Nha10Y62oQxEYtrlD7RgLbUxpxGwhAttsh2+0ItHLXngAO/aM4/FrQ6SCGylFEPaamQLSkQEyxQJOSqj6mpkK01D6G2pjNEDSatp8LURxpRAGZFj0yLQU4s1vLgayiKLB7/DhcXYmD1SfUQLamAidcJ9VA1lsNR6A6FMg6EBQcrQtkNXWBrL12ci8dsO/wl8Dh2j6IEAJWSMiEWZOFNCkHOaY8dLMUoCitO/pndkePtHTkpOphkHhtEhFRB2mvQDZykq+2lCxoUyBbVydWY8xAvxM+CPv0QPcRsY/4JaIuiQErEVEXJ0gSNGlp0KSlQTrFYymKoo6qrRe6Ro2ibSa8DTprotoobnfb++LzIXjyJIInT7b5GKLFooayFgvE1NS6xxQLxJSmHusCXcFg4K3RlBAEQYDVqIPVmIch+bH9QunyBnCwugKHbCdwxF6BUkc5yp2VOOmphM1bBUegGq6gDT5ZLVmgtBDICoIMSFXwowrV2IvqIHDAAbV2bKnaRg6YofjToJHTYQqFsFnGPBRY8lGU2g2F6bnItRqQk2JATqoeei2DWCIi6mCnEsg2GBEbGciGXrc6kD0AABABDAKA9z5Ut1tygbyhQN6wuseM3uqkZETU5TFgJSI6jQiCAMFohGg0AlkxTlTQDCUYVCcnazKQVR8Ddgf2//gDemZmQqlxQnY4EHQ46h5ragBFafX7yzU1kGtqWj2aNkySQqFsCjSWlIaPESNqox5rR9xaLBC0/FFKXZNJr8UZuXk4Ize2Xyi9/iAO207iQNUJHKwuwzdb10KbpUO55ziqvCdQEyyHD5VQRFeTxxC1TkDrBHAULgAuAMd8wNZKAJWAsl8LxZ8G2Z8GOZAGAzKRqs1GpjEPBeZ89LTmo8CagpwUPXJSDchNNSDboodOy18uiYiok7QpkK1sukRB/TIGTQWyNceBvceBvV/XrZPMQN6Q6OA1ZxDLDRB1QfytkIiI2kzQaKAJhY3N8fv9WLtoEUZfcgkkqeE4XEWW1aDWbkfQUQPZYY8OYMOPNQg67I0+Kh5P60/A70ewqgrBqir4W783AKg1aVPqlTRISYXGmhoaTRvxPNWqBrSpVnWd2QyBoxKoi9BLGvTNykHfrBz4/QOQdcyJSxq5Zmt8NdhbdQS7Kg5hf+URHHYcQ5mrFJXe46gJVMCrVAJC438wEcQABH0FRL1aE1oGUB1a9nkAxS1AOWKBEkiD7E8Ph7FmTRYy9DnINxegICUdeVZjVAibm6pHlkUPScPriYiIOplGAlJy1SUWoUDWX30UW79+D8PzNNCc+BEo2wq4q6Lb+p3A4bXqUkvQANkDQqFrRPBqymi/cyKiVmPASkREcSeIIjQWCzQWS5vLICg+H4I1NWoYa3dArqn36HAgWOOAbG/4WBvgtqU+rexyQXa5gOPHW99pUQyNkk1VF2uqWsqg9nmqNbStLpTVpNYGtykcPUtxYdFZMDx3IIbnDmx0e0AOoNxVjqM1R1FSdRR7qw7jsP0YSp2lOOk9Drv/BILwNrqvICgQJAcgOaAxHg6vDwIoDy3fO3SQK9NDIWxaKIRVX6dJ2cgx5SAv1YTcVEODEDY31YBMsw5aBrFERBQvtYGsIQNHMg5j2EWXqJP0KgpgPwqUbQNKt6qBa9k2oPpg9P5KEDixXV22vl+3PrW7GrTmD6sLX9N6ASyHRdQp+JsZERElBUGngzYjA8ho21/vFUWB4nKpIW3USNr6j02NpHVAcTV963SjZBmyzQbZZmvTCFrRbIZoDY2STU1Vn6da1fIFtc9rQ9nQSFq1nRWijrPBU8fQilrkW/KRb8nHqLxRDbYrigK7z45SZymO1RxDaU0pDtiO4qDtKEqdpajwlKEmUNXIkVWCxgeN5jiAhn/U8AE4rIg4FEiFfCINytHokbCKPw1KIA1Z5lQ1cA3Vgs1NNaB3tgX9cy0oyjKzNiwREXU+QQCs3dVlwLS69e5q4PgPEcHrNqB8ByDXK5JlP6Iuuz+vW6e31oWttcFr1gBAy/8HErU3BqxEREQI1ac1myGazUBujLd41aMEAnUlDewOyHYbgnY7gjY7gnabOmrWHnpuU8PayOcIBlv1frW1bgO1Mwy1gqDXNx3KpqaqdWijRs2q5Q00qakQTCZODkZtJggCrHorrHorBmY0PgrWF/ShzFmGUmeputSU4lhNKQ47juJYTSnK3WUIKI3/WUIQZAhSNUSpusk+uAMm7A9YsbcmHUpVqCasLwuyLxtiIBO9MlPQL8eC/rkp6JtjQb+cFPTONsMgMXglIqJOZkwDCs9Tl1oBL1C+Uw1bI4NXnyN6X68NOLhaXWppdED2wLrSAvnDgNwhgCG1U06HKFkxYCUiImonglYLbXo6kJ7e6n0VRVEDU7u9+VDWbldHzdY+t9sh22xQ/K0bA6t4vQiUlwPl5a3uK7RatXRBSgrENCu0mVnQZmVBm5UJTVbt82xos7OgzcyEaDK1/j3otKbT6NAztSd6pvZsdLusyKj0VKLMWaaOgo0MYp3HcKymFHafrcnjC1oXNFoXNIaGf5xQFBHHfRkotWVjeXm2Grx6s6H4s9EzLQf9c1LQL1cNXfvlWtAn28LglYiIOpdWD+SfqS61ZFktJ1C2ra68QNk2texApKAvtH1r9Pr0wlDoGhG8puSzxABRjBiwEhERdQGCINTVoS0oaPX+sseDoM1eN2rWblfD2lAQKzvqnkePoLW3vrRBIIBgZSWClZXAwZabiyYTNNmh0LU2gM1WHzWZmXVhbEYGBJYuoBiIgogsYxayjFkYkjWk0TYuvys8CvaYUy1FEBnEHncdR1BpOGpcEOSIibh2RG2rCBpwwpWNlTuzIW9Vw1fFl43ulh7ol5OBfrlqmYF+OSnok22BUcfglYiIOokoAhlF6jLoirr1zoq6sLU2eK3YDSj15h6oOqAuOz6tW2fKjJhIq7bEQD9A5M83ovoYsBIRESUB0WCAaDAAuTmt3lfx+cJha4sjaCPLGtjtkB2OFo8vu1yQDx6C/+ChFttq0tKgzc6CJjwqNiKMzapbp0lPhyByoiJqmkkyoXdab/RO693o9qAcRLm7HKXOUhxxHMEB+wEcsB3AAfsBHLQfhDfYcCIuQeOBxng4agIuADipCKjwpeObfVmQd2SHR7zmGXuif1YB+uemhksO9Mkxw6Tjf8GJiKiTmLOAPhPVpZbfDRzfHj3S9fgPgL/eH91dJ4H9y9WlltYI5A6KDl5zBwE6c2ecDVGXxf/dERERneYEnQ7azExoMzNbva8SCCBQWYlgRQUCFRUIlIceKyoQPBn9OpYwNlhdjWB1NbBnb/MNNRpoMzJCI2Oz6soURIWx6shY0WJhzVhqQCNqkGfOQ545D2flnBW1TVZklDnLcMB2ACX2knDwesB2AGWusgbHEgQFgq4Soq4SwO7wehuAdUEdvjuYDXlP3YjXLEN39M/ojYE5meiXq9Z77ZtjgVnP/5oTEVEnkIxA95HqUksOApX71dC1tqZr2VbAWa+cVMANHN2oLmECkNm3biKtvKFA3pmAJbtTToeoK+D/4oiIiKjNBK0WUk4OpJyWR87KHg8CFSfV4DUqjC1XA9mKk6H15VC8DUcPRgkGESgvR6C8HC20VAPkrKyGZQoia8ZmZ6v1Yo3G2E+ekpYoiCiwFKDAUoBzu50btc3ld+GQ41B0+Go7gBLbAbiDDcttCBofNMaj0BjrauDVANgEYMMxK+SSbMg+NXzNkLqjd3ohhuT0Qr/c1PAkWxYGr0RE1NFEjXr7f1Y/YMi1desdZXVha23wWrmv3s4KcHKPuvwwv261Ja+unmvBWUDReMBg7ZTTIeps/N8aERERdQrRYICuezege7dm29VO+BUoL68bGVsbvtaGsbXh7MmTQLBhHc2o4/l88B87Bv+xYy330WKBNjOz0ZqxmsxMSLm50OblQZOWxlGxpymTZMLAjIEYmDEwar2iKCh3l4dHu5bY1PB1b3UJjrtKoUBucCxRskGUbADUEdsuAD8A2HZCgnwkMxS8ZsOqKUCv1EIMzuqDwfm56JurjnhNNUgdf8JERHR6S8lTl36T69Z5HcDxH6OD1xM7gPrldWrKgL1lwN7F6mtRC/Q4Wz1WvylAzhmcRIuSBgNWIiIi6lIiJ/xCUVGzbRVZRtBmiw5jw+Frhbou9DpYVdXie8s1NfDV1AAHm5+9SzAY1LA1Px9SXh60+XmQcvMg5edBm5cPKT8PYkoKQ9jTiCAIyDHlIMeUgzH5Y6K2+YI+HLIfUssMhMLXPZX7cdB+EK5gw9IZguiHxlAGjUEtR+ABsAvArirgP+UpkL1ZkH3ZsIj56GbphYGZfTA8rwgD8qzom5MCq5HBKxERdSB9CtDzbHWpFfQDFXsi6rqGgldPdV0bOQAcXK0uXz8FpHarC1uLLgD0lk4/FaL2woCViIiIEpYgitCmp0Obng70799sW8XvR6CyMlSOoGHN2EBFebhMgVxT0/yxPB74Dh6Er5kgVjSZoM3Lqwtg8/KhzcuFFApgtXn50Fg4IcTpQKfRoW96X/RN7xu1XlEUVHmroka97jq5H/urS1DuOQYZDUdni1oHRK0DMJfAB6AEQEk1sKhKA/n7TMi+LBiRh3xTT/RJK8LwvP44s6AA/XJSYDUxeCUiog6ikdTJrnIHAWfeqK5TFMB2RA1bS1YCe75S67zWsh8FNr6lLqIE9DpXDVv7TQay+nN0KyUUBqxERER0WhAkCVJuLqTc3Bbbym43AidPqnVeKyoQPHkSgRPl8B8vQ6DsOPxlZQiUlkJ2Nay5GT6GywXf/v3w7d/fZBsxJQVSXq466jUiiA2vy89jXdgkJggCMgwZyDBkYETuiKhtftmPo46j4eB1R8U+7KkqwTHnQbiCtkaOFYRGfwIa/QkEsB2HARx2AMsdgLzDBMWXDZ2Si2xDdwzLGo4rB56LMUVZMEiaTjpbIiI67QgCkNZDXQZeCkz7E3ByH7BnsRq2HlhdV1ZA9gMlK9TlqyeBtJ5q2Np3MlB0PqDjH6Wpa2PASkRERFSPaDRC1707dN27N9lGURTIDgf8pWUIHC+Dv7QM/rJSBErL1AC2TH1UPJ4mjyE7HPA6HPDu2dtkG43VqpYiyM2tC2BrSxHkqTVhRb3+lM6Xuh5JlFBoLUShtRATekyI2mbz2nDQfhAlthJsL9+HHSf34ZDjAKp8pZDhb3AsUesCtAcRxEGUYR3Kqj7CF6vMUL4YhN6mszG593kY3zcfQ7tZodWInXSGRER0Wsrsoy5n/wLwOdWQdc9X6lJ9qK5d9SFg/evqotEDhefVjW7N7BO//hM1gQErERERURsIggBNaio0qanAgMbLEyiKgmB1dThsDZTVC2KPH0egrAyKz9fk+wRtNgRtNnh37myyjSYjIzQCtrEgNg9STg4Ene6Uz5m6BqveimHZwzAsexiujKg6EJSDOOY8hhJbCX4s34cfTuxFie0Ayj2H4VGiaxCLWidgXY+DWI/XDryCl38cCMk9FCNzx+GCvt0xrm8W+uVYWEeYiIg6js4M9L9YXRQFqNhdN7r14Bp1VCugjnLdt0RdvvgVkNG7bnRr4ThA4t0+FH8MWImIiIg6iCAI4RqxhjPOaLSNoigIVlZGjYQNlJWGgthQKHv8OBAINPk+wcpKBCsrge3bm+oINFmZofIDeeHasJGTcmmzsyFo+V/DRKYRNeiR0gM9UnpgfPfxUducficO2A9g47HtWLRvKXba1iMI9bZMQeODlLoVSN2KDfJ7WLulLwKrBsOqDMe4okKM65OFc/tmonu6KR6nRUREpwNBALIHqMu5vwS8jrq6rXsWq/Vaa1XuB9b+U120RqBofGiyrMlAemHcToFOb/xfdBdRU1ODZ599Fhs2bMCGDRtw/PhxzJw5E2+99Va8u0ZEREQdSBAEaDMzoc3MBIYMbrSNIsvqRFyhEbANShIcP47AiRNAsOGkSOoBFATLKxAsr4Bn27bG24gitNnZkPLyoMnNRZbXC0dQhmnwIOiLijgCNsGZJTMGZw7G4MzBuHXo9fAEPFhzbA0W7PkKq4+thEd2AAAEMQitZRe0ll3wKP/FV1W9sGjZYAQ+HYyeqd1xbp8sjOubiXP7ZCHDzM8EERF1EH2KWrd14KXq6NYTO+rC1sPfAXLoD88BN7DnS3UB1Mmx+k0B+l6kTpqlZRkl6hwMWLuIiooK/O///i/y8/MxatQoLFy4MN5dIiIioi5CEEVIOTmQcnJgHDas0TZKIIBARQX8paWhkgTHG4yEDZSXq7+kNEaWETh+HIHjxwEAGQCOr1ihbtNqoS8qgn7AAOgH9IdhwADoBwyANieHt5AnKIPWgEk9J2FSz0kIyAFsOr4JXx9cgq8OfI2T3hMAAEFQoDUdgNZ0AMhdiHJPPubvH4z3vx8M2ZuHQflWNWztm4UxhRkw6/mrBRERdQBBAHIHqct5DwAeG7B/eShw/RqoKatrW7FbXb79ByCZgd4TgH4XqeUE0nrE6QTodMD/BXUR+fn5OHLkCLp16waPxwMjZwwmIiKiVhC0WvW2/7y8Jtsofj8CJ07A39RI2LIyBE+ebLhjIADvnj3w7tkDfFa3WmO1Qt+/f3Tw2rcvRBNvJU8kWlGLMfljMCZ/DJ4Y+zi2n9yOJYeW4OtDS1Bi2x9upzGUQmMohT77a8i+DOxzDMKuDUPw2qqe0IoanNUzLTTCNQvDe6RBp+WEWURE1AEMVmDQleqiKEDZtrrRrUfWAYqstvM7gV0L1QUAcgapI1v7TQF6ng1opPidAyUdBqxdhF6vR7du3eLdDSIiIkpigiRB6tYNUjP/55B9PniOHMU3H36IM9Os8O/dB++uXfDu39+gDmzQZoNr/Xq41q+PeBMBup49GwSvUvfuEEQGbl2dIAgYnDUYg7MG474R96HEVoIlh5Zg6aGl2FZRV15C1FVCl7kauszVkAMWBByDsKl8MNYf7IO/LdHCpNNgdGFGuJzAoPxUiCJHOxMRUTsTBCB/mLqMfwRwVQL7l6lh696vAWd5XdsT29VlzYuAPhXofUHdZFmp+fE7B0oKDFiJiIiIKEzU6SD16A7XwAFIv+QSSJI6ukPx+eAtKVHD1t274dm1G95du9Tar5EUBb6DB+E7eBCOxYvDqwWTCYZ+/cLBq2FAf+j794fGau3M06NWKrIW4faht+P2obejzFmGZYeXYcmhJdhQtgFBRa35K2proEtfB136OihBPQI1A+FzDMaKvQOwYrf6i226ScI5fTLDI1wLM00sL0FERO3PlAEMuVZdZBko3RIKWxcDRzYACJVK8tqBHQvUBQDyhqpBa78pQPfRgIZxGbVOUn5iXC4XVqxYgY0bN2LTpk3YuHEjDh06BAB46qmnMHv27BaP4XA48Nxzz2H+/PkoKSmBRqNB//79ceONN+Lee++FjhM9EBER0WlE0OlgGDAAhgEDotYHqqrg3bUb3t274Nm9W32+Zw8UjyeqneJywf3993B//33Uem1+PvT9+8HQf0A4eNUVFkKQeNteV5NnzsP0gdMxfeB02Lw2rDiyAksOLsGaY2vgCar/3oLGC8n6PSTr91BkLYLOvgg4BqO65gws2ubHom1qnbxuaUac2ycT4/pm4dw+mchJNcTz1IiIKBmJItBthLpM+BXgPAnsW6KWE9i7BHBX1rUt26Yuq59XSxD0mVQ3WZYlJ37nQAkjKQPWdevW4ZJLLmnz/gcPHsSECRNw4MABAIDJZILX68WGDRuwYcMGzJ07F0uWLEF6enqDfRVFgdfrjel9RFFkUEtEREQJTZueDu3ZY2E+e2x4nRIMwnfoUIPg1X/4cIP9A6WlCJSWwrliZXidIEnQ9e0LQ/9+0EcEr5qsLI567CKseiuu6HMFruhzBdwBN9YcXYMlh5Zg+ZHlcPgcAABBDECbshPalJ2AIiDgKkTAMRgBx2AcrQY+3HgEH248AgDol2MJh61n98lEqoEBOxERtTNzJjDsJ+oiB4Gjm0Jh62Lg2Oa6dh4b8ON/1QUA8oerYWu/KWpYK2ri0n3q2pIyYAWA9PR0jBgxIrw8+OCDKCsra3G/QCCAyy+/HAcOHEB+fj7efvttXHTRRZBlGR9++CHuuOMObN68GTfffDMWLlzYYP+DBw+iqKgopj4OHjwYP/zwQ6vPjYiIiKgrEzQa6IuKoC8qAqZeHF4frHHCu2d3g+BVdjii9lf8fnh37IB3x46o9ZqMDLWma//+4eBV37cPRANHP8aTUWvEhb0uxIW9LoRf9mND2QYsPbQUSw8vxQlXqISEoEBrLoHWXALkfQbZUwB/KGyVvbnYc6IGe07U4K01ByAKwNDuaRgXGuE6slc6DBJ/mSUionYkaoAeo9Vl0pNAzQm1ZuuexeooV4+trm3pFnVZ+WfAmAH0vVANW/tcqIa2REjSgPX8889HZWVl1LrHH388pn3nzJmDbdvUAv7z58/HOeecA0AdbXrDDTdAlmXMmDEDixYtwpIlS3DhhRdG7Z+VlYU333wzpvdqbAQsERERUbLSWMwwnXUWTGedFV6nKAoCpaXw7NoVFbz6Sg4AwWDU/sHKSri+/Q6ub7+rWymK0BUW1gWvAwZA338ApG4FHO0aB5Io4ZyCc3BOwTl4YuwT+LHiRyw5tARLDi3BAfuBcDvRcAx6wzHosxdDkrPhrDoDfsdgyO4ekBUR3x+uxveHq/HS8n3QaUWM6pWOcX3V+q1Du1mh4YRZRETUniw5wPAZ6hIMAEfW141uLaub5BHuSmDbh+oCAeg2MjS6dbI60pUTep62kjJg1Wja/hfuOXPmAAAmTpwYDlcj3XjjjXjyySdRUlKCt99+u0HAarFYMGvWrDa/PxEREdHpRBAESAUFkAoKkDJxYni97PXCt29feDIt7+7d8OzejWBFRfQBZBm+/fvh278fjs+/CK8WLZbQhFqRwWt/aCyWzjq1054oiBiaPRRDs4figZEPYH/1/nDY+uPJH8Pt/GI5dJnl0GWuhEFIh+gejIoT/RF09gaghS8gY82+k1iz7yT+8uUupBi0OLt3ZniEa98cC8N0IiJqPxot0OscdbnoKcB+LGJ06zLAV3vnjQIc3aAuy/8ImLPVmq39JgMDLgUk3mFzOknKgLWtXC4XvvnmGwDAtGnTGm0jCAKmTp2Kl19+GV999VVndo+IiIjotCHq9TAMGgTDoEFR6wMVFWrYGhG8evfuheLzRbWTa2rg3rQJ7k2botZL3bqFwtZ+MAxQywzoevaEoOV/izta77Te6J3WG3cMuwNlzjIsObQESw8txcbjGxFU1NHKHqUKMKyGqedqGEQz0oUzUV0xACeOFwKKHgDg8ASwePtxLN5+HACQk6LHuX0ycW5ohGu3NGO8TpGIiJJRagEw4lZ1CfqBQ9+pI1v3LAZObK9r5ywHvv+3uljygHH3ASNvA3Sm+PWdOg3/Jxlhx44dkGUZADBkyJAm29VuKysrQ2VlJTIyMtrl/f/xj3+guroagUAAALB161Y8/fTTAIDx48dj/Pjxje7n9XqjJtay2+0AAL/fD7/f3y5960pqzykZz40oWfG6JUosXfqatVqhGz0autGjw6uUQAD+Q4fg3b0bvt271cc9exE4dqzB7v6jR+E/ehQ1S5eG1wkGAwxDh8I4ehQMo0bBMGwYRL2+U07ndJWpy8RP+v4EP+n7E1R7q7Hy6EosO7wM35V9B29Q/X+tR3aiFGuA9DXIzNShh3E4RNcQ7D/UC9U1df8+JxxefLzlGD7eov5798ow4Zw+GTi3dwbO7p2BdFPyTyrbpa9ZImoUr9sE1v1sdZnwG8B2BMK+JRD3fQ2hZCUEv1NtU1MGfPk/UFa/AHns3ZBH3gboeBdNomnN9SkoiqJ0YF+6jMLCQhw8eBBPPfUUZs+e3WibBQsW4IorrgAAfP/99xg2bFij7T755BNcddVVAIBt27Y1G8a2pY+Naa7fs2fPxv/+7/82WD9v3jyYTPxLCREREZ2eRLcburLj0JeVQl9aBn1pKfRlZRDrjXatT9Zq4enRA+7eveHqXQRPr15QJM5q3xl8ig97/Huw3b8du/y74IGnQRsBAvKFQli8g2CvGoyD1enwyY2XCBAFBcMzFIzPl1FoAVhJgIiIOooo+5FZswuFJ5ehoHp91DavxoJ9OVNRkj0ZAQ3vtEgULpcLM2bMgM1mQ2pqarNtOYI1giNiBtvmgsnIbY56s96eigMHDrRpvyeeeAIPPfRQ+LXdbkePHj0wZcqUFj8Aicjv92Px4sWYPHkyJP6yQ5QQeN0SJZZkvmYVWUbg2DF4d+8Jj3b1/vhj1GhXMRCAqaQEppISZC4BIEkwDB0C46jRMI4aBcOZwyDyj9gdzh/0Y8OJDVh2eBmWH12OCrdaf1eBgmNKCaArAXIX4syBZ2BAyjkQXUPw4yEjth6xwx9Ux5DIioBNJwVsOiliaLdU3DK2Jy4Zmge9NrkmIUnma5YoWfG6TWaPwX9iBzTfPA9h+8cQoEAfrMGg0v/gjKrFkMf8AvLonwMGa7w7Si2ovUM8FgxYk4Ber4e+kdvYJElK6m/UyX5+RMmI1y1RYknWa1ZXVARTURFw8ZTwOv/Ro3CuXw/X+vVwrVsP/+HDdTv4/fBs2gzPps2oevVVQJJgHDIEptGjYRozBqazhkM0m+NwJslNkiSM7zke43uOx2+U32Br+VYsPbQUSw4twSHHoXC7nVU7sLNqBwCgMK8QPx85AdniKBwqzcTHW0pR6VRHLG87asdjH/2AP325GzPG9sRNY3shz5pcE5Ak6zVLlMx43SapbsOAn7wFlO8GVj0LbPsQUGQIHhs0K/8EzdqXgbF3AmffDZjap+wktb/WXJsMWCOkpKSEn7tcribbRW6L3IeIiIiIEpPUrRvSunVDWqgMlL+0VA1b16+Hc906+A/WBXrw++HevBnuzZtx8tVXAa0WxsGDYRqjBq7Gs0ZAY2Hg2p5EQcTwnOEYnjMcD458EHur94bD1h2VO8LtDtgP4ID9LQBvIceYg6sunAhr8Bx8tUXCj0fVO89OOn34+9K9eHn5PkwdkodZ5xZiZK90CKwfQERE7S27P3DNq8AFvwJWPa9OgKUEAa8dWPkX4LuXgdG3A+feC5iz4t1bOgUMWCMUFBSEnx89erTJGqxHjx5tdB8iIiIiSg5Sfj6sV1wBa6g+v//4cbjW1Y5wXQdfZGmnQADu77+H+/vvcfK11wGNBobBg2EaPQrmMWNgHDkSGgsntmgvgiCgX3o/9EvvhzvPvBPHao6Fw9ZNJzZBVtRJa0+4T+DDPe8DeB9FPYrw0+FTcOTwGVj6gxcBWUFAVvDZ1lJ8trUUgwtSMevcQlx+ZgEMkia+J0hERMknsw9wVTEw/hFg9QvAlnmA7Ad8NcA3fwXWvQqM+ilw7n1ASm68e0ttwIA1whlnnAFRFCHLMn744QdMmzat0XY//PADACAvLw8ZGV13KLff70/KGQk52yJR4uF1S5RYeM02IiMDpqkXwzT1YgBAoLwc7g0b1GX9BvhLSuraBoPwbN0Kz9atqHzjX4AoQn/GGTCOGgnj6NEwnHUWNElYJz9esvXZuKHfDbih3w2o8lRhxdEVWHZ4GdaWrYVPVssDlNhKUGJ7BaIg4rzzRsPkHYtvfyxAVY16jB+P2fHof7bij4t24MZR3TF9TA/kJ1D5AF6zRImH1+1pKqU7MO054NwHIX77IsQt70II+gC/C/j2H1DWvw75rFshn30vkJof796e9lpzfQqKoigd2Jcuo7CwEAcPHsRTTz2F2bNnN9lu/PjxWLVqFSZNmoQlS5Y02K4oCvr27Yv9+/fj1ltvxZw5czqw161TXFyM4uJiBINB7N69G/PmzWt2si4iIiIiah8ahwPG/SUwleyHcX8J9MePN9lWEQR4CwrgLiqCq09vuAsLIfP/bO3Oo3jwo+9HbPZtxoHggQbb9dAjTx6KkydGobSqF4C6EgEiFAzLVDA+T0bvFIDVA4iIqCMYfJXoe2IRCiuWQaPUhXlBQYtDmRdgT+6lcOtYOiBeXC4XZsyYAZvN1uIk8gxY63njjTdw++23QxAEfPvttxg7dmzU9g8++AA33HADAODrr7/GhRde2JHdbhO73Q6r1YqKiooWPwCJiLMtEiUeXrdEiYXX7KkLVlbCvXEj3OvVUa6+PXuabiwI0A0YoI5wHTVKLSmQltZpfT0dHKk5gs/2f4aFJQtx1Hm0wfZcY3cYvWOwc09/+H1pUdsG5qXg1rN74vJheV22fACvWaLEw+uWotQch/hdMcRNb0Hw1837o4gSlGE3IjjuASCtV/z6d5qy2+3IysqKKWBN2hIBVVVVCAaD4deyrNZicrlcqKioCK83GAywRNTEmjlzJv72t79h27ZtuPbaazFnzhxceOGFkGUZ8+fPxx133AEAmDZtWpcMVyMl+2yEyX5+RMmI1y1RYuE123ZSbi4Ml1yC9EsuAQAEqqrg2rAhXMfVu3NnXWNFgW/nTvh27oTt3bkAAH3//jCNGQPT6NEwjR4FbRcuS5UIitKLcO/Ie3HPiHuw8fhGfLrvU3x54Eu4A24AwHH3EQBHYOwjoEg3BOWlQ1FVPhBQdNhZ5sD/fPwj/vLVbtw4piduPrsXuqUZ43tCTeA1S5R4eN0SACC9OzDtGWD8w8C3/wDWvQb4aiDIfghb3oH4/TzgzBuB8x9W67lSp2jNtZm0I1hrR6y2ZObMmXjrrbei1h04cAATJ07EgdDkBSaTCbIsw+PxAADOOussLFmyBOnp6e3d7XZRO4I1loQ9Efn9fixatAiXXHIJfxARJQhet0SJhddsxwtWV8O1cSNc69bBuX49vDt2As38t1zfry9Mo8fANGY0TKNHQ5uZ2Ym9TU4uvwtLDi3BJ3s/wbqydVAQ/fXXiUbovGfhxNEhCLoLAYgAAFEApgzKw6xxhRhblAGhC9QP4DVLlHh43VKzXJXAdy8Ba18BvPa69YIIDL0eOP8RILt//Pp3mmhNvpa0I1hPRWFhIbZu3Ypnn30WH330EUpKSiBJEgYPHozp06fj3nvvhU6ni3c3iYiIiChBadLSkHLhhUgJ3REVtNng2rgJrnXr4Fq/Hp4dO4DQHVgA4N2zF949e1E1bx4AQNenD0xjRsM8OhS4ZmfH5TwSmUky4fI+l+PyPpfjWM0xLNi3AJ/u+xSHHIcAAD7ZDZ+0BqbCNTAK2bCXnwlv9QjI/gx88WMZvvixDAPzUjDr3EJcObwbjLquWT6AiIgSkCkDmPRr4JxfqiHrd8WAxwYoMrD1fWDrB8Dgq4HxjwK5g+LdW0ISj2A9nXEEKxF1NbxuiRILr9n4CzocoRGuakkBz48/RgWu9emKiiJKCoyGlJvTib1NHoqiYEv5Fnyy9xN8eeBL1PhrGrQRvH3gOnkWAo6hgKwHAFiNEm4c0wO3nN0L3dM7f8IyXrNEiYfXLbWKxw6sfw1Y8w/AXRm97YzLgfGPAfnD4tO3JMYRrARA/Ybt9/tbbphgas8pGc+NKFnxuiVKLLxmuwCDAYZx42AYNw4ZAOSaGrg3b4Z7w0a4N6yH98ftQMR8A76SEvhKSlD9/vsAAKlXL3XCrFGjYBw1Etq8vDidSOIZkj4EQ0YPwcNnPYzlR5bj0/2fYm3Z2nAJAUW/D8aCfRCUT+GzDYbfNhI2V2+8smI/Xlu5HxcOzMGtZ/fE2KL0TisfwGuWKPHwuqVW0RiBs+8DRvwU4sY3Ia59CYKzXN22YwGwYwHkflMhn/cwlIKz4tvXJNKa65MjWJNIcXExiouLEQwGsXv3bsybNw8mU+f/BZ2IiIiIOpbg9cJ44CCMJfth2rcfhiNHIDQzwtWXmQl3URFcfXrD1b8/ghGTvFLLbLINW3xbsMW3BeVyeYPtsj8NftsI+KtHQPFnAQDyjQrG58sYmaVAz+oBRETUjjSyF70qlqHf8YUwBGxR246nDsOuvCtRZe4Xp94lD5fLhRkzZsQ0gpUBaxKqHcJcUVGRtCUCFi9ejMmTJ/NWCqIEweuWKLHwmk08sssFz5bv4d6wAe4NG+DZtg0IBBpvLElImTYV1ptugmEQ67a1hqIo+OHkD/is5DN8ceALOPyOBm0Crl4I2EbCbx8GyAakGrS4fmQ33DS2B3p0UPkAXrNEiYfXLbULvxvilrkQv30RguNY1Ca5aII6orXnOfHpWxKw2+3IyspiiYDTnSRJSf2NOtnPjygZ8bolSiy8ZhOI1Qr9BeNhvWA8AEB2u+HesgWu9evhXLcOnu+3Qqm9zc3vh+PTBXB8ugDGUSORccutSLlwEgQtfzWIxYj8ERiRPwK/GvsrLD+8HJ/s/QRrjq1BUFFLNmhNB6E1HYQ+91MEHIPhtI3EG9/48K81B3HRGbmYdW4hzu2T2SHlA3jNEiUeXrd0SiQJOPcuYMxPgS1zgVUvADZ1skaxZDnEkuVA4fnABY+pj51UuiZZtOba5P+iiIiIiIiSjGg0wnzOOTCfcw6yAcgeD9zfb0XNihWonj8fsk29ndC9YSOObtgIqaAA6TffjLTrroUmCe+A6gh6jR4XF16MiwsvRoW7Agv3L8THez/G3uq9AABBDECyfg/J+j1kfyr8thFYsncEFm8/jn45Fsw8txDXjOgGk46/khER0SnS6oFRPwXOugX4/j1g1bNA1QF124FV6tLzHGD8o0CfSQxaO4AY7w4QEREREVHHEg0GmMeOQe5jj6LfsqXImz0buj59wtv9x47hxJ//jD0TJqLsd7+Ht6Qkjr1NPFnGLMwcPBMfXfER3r/sfcwYOANp+rTwdlGyQ5+1HOY+z8NUWIwDvq/x60/XYewfl+Dpz7bj0ElX/DpPRETJQyMBI24BfrkRuOqfQEbdz3oc+hZ49xrg9YuA3V8BrBjarhiwEhERERGdRkSTCek33oDeny1Aj9dfh3n8+eFtisuFqnnzsH/aJTh0552oWf0NOGVD7ARBwKDMQXhi7BNYev1S/HXCXzGhxwRohbpRqhrjYRjyP4al3x/gz5yDNzd/jgue/Ro/e2s9Vu0p59ebiIhOnUYLDJ8O/HI9cO0bQNaAum1HNwDzrgdenQDsXMigtZ3wfhQiIiIiotOQIAiwnDcOlvPGwbt/P6refRfV//0YitsNAHCuWAnnipXQ9emDjFtugfXKKyAajXHudeKQNBIu7HUhLux1IU66T2JRySJ8uu9T7KzcCQAQxCCk1G2QUrdBDqRgdeVZWPbuCBSl9sGscwtxzYjuMOv56xoREZ0CUQMMvQ4YfA2w4xNgxV+AEz+q20q3AO/NAHKHAuMfAc64AhA5DrOtBIV/Ik06drsdVqsVFRUVLc5ylog42yJR4uF1S5RYeM2evoI2O+z//Qi2f7+HwLHo2YjF1FSkXncdrNNvhJSXF6ceJr7dVbuxYP8CfH7wc1R6KhtsD7q7wW8bAb1nFK4d3g+3jO2JXpmmZo/Ja5Yo8fC6pbhQZAi7v4Bm1V8gHN8WvSl7IILjHoJyxpVqMEuw2+3IysqCzWZrMV9jwJpEiouLUVxcjGAwiN27d2PevHkwmZr/zxgRERERUQPBICzbtyPtm29gKjkQtUkRRdQMGYKqcePg6dWTE2W0UVAJYk9gDzb5NmGXfxeCCEZtVxQNAo6BCNhGoJ+2Py7IFzHAqkDkl5uIiE6VoiDX/j0GlH2MdNf+qE0OfT52512Bo+lnQxFO76DV5XJhxowZDFhPVxzBSkRdDa9bosTCa5YiebZvh23uXDgWfQ4EAlHb9EOGIO2mm2C5eAoEflbarNpbjS8PfokF+xdge+X2BtvlgBkB+3DkYBxuG3Uurj6rAJaI8gG8ZokSD69b6hIUBcL+ZRBXPwvxyLroTelFCI57EMqQ69XJs05DrRnByqI+SUySpKT+Rp3s50eUjHjdEiUWXrMEANKZZyLlzDMRePRRVL33Pqreew/BkycBAN4ffsDxJ57AyeefR/qM6Ui74QZoMzLi3OPEky1l4+bBN+PmwTdjb9VefLrvU3y6bwFOeioAAKLWCV3GN6jGN3h2ex6eXz8Gl/W+FHeedyaKsszh4/CaJUo8vG4p7gZeDAyYApSsBFb8GTi4GgAgVJVA+9l9wOpngfMeAobfBGh1ce5s52rNtcnqtURERERE1CJtdjay7/0l+i5bivxnnoH+jDPC2wLl5Sj/24vYO2Eijj35JDy7dsWxp4mtb3pfPDTqIXx9/WK8dOFLmNLrYmiFul/wNIYyCJmf4rPqu3DJe7fhyjdfxpKdRyHzvkQiImorQQB6XwDcthCYtQjoPaFuW/Uh4LMHgBfPAta9Bvg98epll8aAlYiIiIiIYibqdEi7+ioUfTQfvd55GymTLwrPOqz4fLDN/wglV16FgzNnwbF0KZRgsIUjUmO0ohbndz8fz014FstvWIbfnP0b9LMODm8XBBnalB3YL76ER9bdgP89/BneWr8JrABHRESnpHAccOsnwE+/AvpeVLfefgRY9Ajw4nDgu5cBnytuXeyKGLASEREREVGrCYIA0+jR6P73v6PPV18iY9YsiBZLeLtr7Vocufse7Js6DZVvv41gTU0ce5vYrHorfjLgJ/joqvfw6VWf4uaBt8GiyQxvF7QuBFO/w992/QIXvfk4fig9EcfeEhFRUug5Frh5PnD7UqD/tLr1jlLgi8eBv50JfPMi4HPGr49dCANWIiIiIiI6Jbru3ZH7+K/Qd/ly5P7619D16hXe5j98GMf/+Az2XjABZX/8I3yHDsWxp4mvyFqEX419CKtnLMHLF76CERkXQlDUEgKCGMAJzSLcuPAa3PPJ63D7Ai0cjYiIqAXdRwIz3gPuXAkMvKxuvfMEsPg3wF+HArs+j1//uggGrERERERE1C40FjMybr4JvT9fhO7/fBnmc88Nb5OdTlS9/Q72XTwVh+++B87vvuPt7KdAI2pwXvdzMefyv2L59V/jDGU8oGgAAIJkw8rqv+HcOdfinU3fxLmnRESUFPLPBG6cC9y1Bhh8NQBBXe+qBDJ6x7VrXYE23h2gjuP3++H3++PdjXZXe07JeG5EyYrXLVFi4TVL7cEwbhzyx42Dd+9e2ObOg+Ozz6B4PICioGbpUtQsXQpdv35Iu/kmWC65BKLBEO8uJyyDYMBN6VPQa+Q9+NXKP+GYfxMAIKDbjz9tvQtvbxuPFyY/hgHZ+XHuKRHV4s9aSlgZ/YGrXgPGPQLNN88DUBBM6w0k4We5NdenoPDPxkmjuLgYxcXFCAaD2L17N+bNmweTyRTvbhERERERQXQ6YV23HmnffgvJZovaFjCbYRs7BtXnnINgamqcepg8vqvZjc/dixCUKsLrlKABA4IX4cas0dCJmjj2joiIkooiA0Jy3iDvcrkwY8YM2Gw2pLbw/xMGrEnIbrfDarWioqKixQ9AIvL7/Vi8eDEmT54MSZLi3R0iigGvW6LEwmuWOpLi96NmyRLY3p0Lz/ffR2/UamGZMgVpN98Ew9Ch8elgAmrsmvUFfPj18lfxddlcQPSG22qD+XjgzIcxY9ikeHWXiMCftUSJwG63IysrK6aAlSUCkpgkSUn9jTrZz48oGfG6JUosvGapQ0gSMi6/HBmXXw731q2ofPsd2L/4AggEgEAANYsWoWbRIhiHD0fGrbcgZfJkCPwcxiTympUkCS9MexD7Km/ALz//A44EVgIAAppSPPvDI5i7czRenPIUBmb3au6QRNTB+LOWqOtqzbWZnGN4iYiIiIioyzMOG4Zuz/4FfZd8jcxf3AlNWlp4m3vLFhx96GHsnTwFFa++hkBVVfw6msD6ZBTg85uK8ZsR/4QUqAtTSwPrcf1nV+GXnz8Dl98Vxx4SERElPgasREREREQUV1JuLnIeeAB9ly9D/tO/h75fv/C2QFkZyp9/HnsnTkLpU7Ph3bs3jj1NXD8ZOg7fzfwYk7PvgxKwqCvFAFacmIfz5k7FnO8/BqvHERERtQ0DViIiIiIi6hJEgwFp112Hok8/Qc+33oRl4kRAEAAAiseD6vffx/7LLsehn92OmhUroMhynHucWHRaLZ6/5A58fOWn6CZMhaKok135hSo8u+U3mPzvG7H1+I4495KIiCjxMGAlIiIiIqIuRRAEmM8+Gz1efgl9vvgc6bfcAtFkCm93fvMNDt/5C+y/5FJUzp0L2emMY28TT9+sbHxx61/w6zPfgNZ7Rnj9cf923PT5Dbjr8ydR7amOXweJiIgSDANWIiIiIiLqsnS9eiHvyf9B3xXLkfvE45B69Ahv8x04gOO/fxp7JkzE8T/9Gb4jR+PY08Rz41kj8c3MeZiU9jhkX6a6UlCw+sSnmPj+VLyy+R0E5EB8O0lERJQAGLASEREREVGXp0lJQcbMmejzxefoXvwPmMaODW+THQ5Uvvkm9k2ZgiP33gfX+vWsJxojk16Lv115E/5z2UfICVwDRdYBAAJw4h9b/4zJ71+N746ti3MviYiIujYGrERERERElDAEjQYpF16IXnPeQtEnH8N67TUQdGooCFmGY/FiHLzlVpRcey2qP/4YSoAjMGNxRn4Gvv7pbDw6+F8QnaPC6yt8B3DH4p/hZ4vuQ2lNafw6SERE1IVp490B6jh+vx9+vz/e3Wh3teeUjOdGlKx43RIlFl6zlCg0vXsje/ZsZNx3H2wf/ge2995DsKICAODdvgOljz+Bin++gsx7fwnz5MkQQhNmJZv2vGZnnDUIlw4sxq+/WISVla9DY1TLLqwrX4ap87/BrQNn4ufDboNBazjl9yI6nfFnLVHX15rrU1B470zSKC4uRnFxMYLBIHbv3o158+bBFDEZABERERFRUgsEkLJtG9JXfwPDkSNRmzzdu6Ni6sVw9esXp84lnhK7jHnlW+C0fglRWzeRmFFJw5XmaRgsDUra0JqIiMjlcmHGjBmw2WxITU1tti0D1iRkt9thtVpRUVHR4gcgEfn9fixevBiTJ0+GJEnx7g4RxYDXLVFi4TVLiU5RFHg2bcLJF/8Oz6ZNUduMY8ci84H7YRgyJE69a38dec0GgjL+9e1OvLz1FcD6DQRBDm8bkj4Cvz3ncfRN69uu70l0OuDPWqKuz263IysrK6aAlSUCkpgkSUn9jTrZz48oGfG6JUosvGYpkenOPhspY8fCuWoVTjz/Arw7dwIA3GvX4sj0GUiZMgXZD9wPfe/ece5p++mIa1aSgHsmnonrRj6PXy1YjLXVb0Jr2QMA+KFqE25YdCOu738D7htxD6x6a7u+N9HpgD9ribqu1lybnOSKiIiIiIiSkiAIsIwfj6KP5qPg2Wch9egR3ub46ivsv+xyHHvySfhLOXlTS3JTDXjrpsvx8kX/hKX6dsi+DACAAhkf7P43Lv7PJfhg1wcIysE495SIiKjzMWAlIiIiIqKkJogirJddij4LP0PeU7+FJjtL3SDLsM3/CPsunorj//cnBKqq4tvRBDBhQA6W3f1LzOxVjEDFVCiyOrrHGbDj99/9Htd++hNsOr6phaMQERElFwasRERERER0WhB0OqRPn46+X36J7AcfhJiSAgBQfD5UvvUW9l00GeUvvQTZ6WzhSKc3g6TBY1OGYOGtT2FQ8A/w284Mb9tn242ZX8zEoyseQ5mzLI69JCIi6jwMWImIiIiI6LQimkzIuvPn6Lv4K2Te/jMIej0AQHY6UfHi37F38hRUvvMuZJ8vzj3t2npnW/D+z6biT+P/BN2JXyLoyQ9v++LA57j0o8vx6tZX4Q1649hLIiKijseAlYiIiIiITkuatDTkPPII+nz1JdJuuAHQaAAAwcpKHP/DH7B/6jRUf/wxlCDrijZFEARcObwblt37U1yX+yw8ZVdDDpgAAD7Zg79v/jsu/++VWHJoCRRFiXNviYiIOgYDViIiIiIiOq1JubnI/9/Z6LPwM6ReMi283n/sGEoffwIlV10Fx9KlDAibkWqQ8LurhmH+TQ+hl+t38FWeC0VRf90sdR7FA8sewM8X34n91fvj3FMiIqL2x4CViIiIiIgIgK6wEN2efx6F8/8D83nnhdd79+zFkbvvwcHpM+Bavz6OPez6hnVPw4J7puDJs5+AcORBBJx9wtu+K/0W13x6Df607k+w++xx7CUREVH7YsBKREREREQUwTh4MHq+/hp6zpkD45l1Ezi5t2zBwVtuxaGf/xyeHTvi2MOuTSMKuPWcQiy570ZclPZbuI/cBNmXBgAIKkG8u+NdXPbRZfhoz0eQFTm+nSUiImoHDFiJiIiIiIgaYR47Br3e+ze6F/8Dur51IzGdK1eh5OprcPShh+E7eDCOPezaclIN+PuMEXjrJ7cj2/YbeMsvgiJLAIAqbxWeWvMUpi+cji0ntsS3o0RERKdIG+8OUMfx+/3w+/3x7ka7qz2nZDw3omTF65YosfCaJYpmGD8ePcaNg+Ozz1BZ/BICpaUAAPuiRbB/9RVSr7kaGXfeCW1OTlz619Wv2bGFVnx293i8uron/rlmNMTMhZBStwIAtp/cjls+vwWXFF6C+4ffj2xTdpx7S9Q5uvp1S0Stuz4FhZXak0ZxcTGKi4sRDAaxe/duzJs3DyaTKd7dIiIiIiJKGkIgAOt33yFj6TJonc7welmSUD1uHCovGA+Z/wdvUrkb+E+JiD3+EuhzF0BjKAtvk6DDRMMEnKs/F1qBY4GIiCi+XC4XZsyYAZvNhtTU1GbbMmBNQna7HVarFRUVFS1+ABKR3+/H4sWLMXnyZEiSFO/uEFEMeN0SJRZes0Qtk51OVL/9DqrmzIESEbSKKSlI/9nPYJ0xHaLR2Cl9SbRrVlEUfP7DcTz9+XZUa1dBn/0VBI07vL2HpQceHvkwzi84H4IgxLGnRB0n0a5botOR3W5HVlZWTAEr/yyYxCRJSupv1Ml+fkTJiNctUWLhNUvUjLQ05N53LzJvvgknX3kVVfPmQfH7ITscOPnXv8I2dy6y7rkbaddeC6GTrqNEumavHNEDkwbl4fnF3THnu2GQshZDSl8LQVBwuOYwHljxAM7rdh4eG/0YiqxF8e4uUYdJpOuW6HTTmmuTk1wRERERERG1kTYjA7lPPI4+X34B6zXXAKL6K1agvBxls/8X+y67DLaFC6HIcpx72vWkGCQ8dflgfHr3xRiomwVXyb0IOOvC1NVHV+OaT67BcxueQ42vJo49JSIiah4DViIiIiIiolMkFRSg4I9/QO9PP0HK5IvC6/0HD+HYw4+g5NrrULNqFVihraEh3az46K5z8btpU6A9cTfcR2ZA9lsBAAElgLd+fAuX/fcyfLz3Y8gKg2oiIup6GLASERERERG1E33fvuj+97+j8P33YBo7Nrzeu2MHDt/xcxy6dSZcmzfHsYddk0YUcPPZvbD04Ym4vO80OPc9DG/5hVBktardSc9J/Oab3+DmRTdjW/m2OPeWiIgoGgNWIiIiIiKidmY880z0fOtN9HjjdRgGDQqvd61fj4PTZ+Dw3ffAs3t3HHvYNWWn6PHCDcMx72fno7twFZz7H4LfPji8fVvFNsxYNAOz18yGO+Bu5khERESdhwErERERERFRBxAEAZZx41D4nw/R7a8vQFdYGN5Ws3QpSq68Csd+9Th8R47Gr5Nd1Ll9s/D5/efj4YlnQzk+E66DtyPoyQ1vn79nPm5edDMO2Q/FsZdEREQqBqxEREREREQdSBBFpE6dit6fLUDe738HbW4oKFQU2D75BPumTUPZH/6IwMmT8e1oF6PXavDLSf2w+MELcH6Pc+AquQ+essuhyDoAwO6q3bjhsxuw9NDSOPeUiIhOdwxYiYiIiIiIOoGg1SL9+uvR58svkPPooxCt6kRO8PtR9c472Dv5/9m7z+ioqrcN49eZZNJIISFA6CAgIEWKCIoVBBHFglKMYK8UBQWlC4gIKGIhqKAiCiggdgWJqIhUaQoIRkoCJLRAyCSZlGnvh+j89bWlwclM7t9aWSv7zDkz92HlSXnYs3c3Trz0Eq7sbHODljN1q4Qx7872vHJbe6q4umA/MBhXflUAsh3ZPPLNI8zcMhOn22lyUhERqajUYBURERERETmLLCEhVLnnbholrqTKgw9ghIYC4LHbSZ/9Cvuu6srJeW/hzs83OWn5YRgG17SswVePXU63xq2wJw/GYWvlffzNnW/yQOIDpOemm5hSREQqKjVYRURERERETBAQGUm1oUNptPJLouPjITAQANfp0xyfNo193a/h9LJleJyamfm78OBAZt/WlgcvPY+81FvJO3odHk/hn7Wbjm6i76d92XZ8m8kpRUSkolGDVURERERExESBVasSN34cDZd/QeT1PcEwAHAeOcKRMWPZf/0N2FauxOPxmJy0fLBYDEZe05TpN5+PJ/NSclPux+2IBOB47nHuXnE3C35eoH8vERE5a9RgFRERERERKQeC6tSh1vTpNPjoQ8KvuMJ7vGD/flIffoTkPn3J2bDBvIDlTJ/2dXjnng6E0xj7gSE4c84BwOlxMu2HaTz+3ePYHXaTU4qISEWgBquIiIiIiEg5EtKkCXVefYV6CxcQ2rat93jejh0cvPMuDt59N7k7dpqYsPy4qGEVPhx4MfUqVyf34D3kp1/ufWxF8gpu/fxW9p/eb2JCERGpCALNDiBnjsPhwOFwmB2jzP1+T/54byL+SnUr4ltUsyLlg7VVK2q+NQ/7mjWcfPElCpKSAMhZt56cdb2p1LUrVYYMxqhdG6i4NVuncjBL7r+QQe/+yA/J1+DOrUtIzSUYAfnsz9xPv8/78WSHJ+lWr5vZUUW89LNWpPwrTn0aHi1M4zcSEhJISEjA5XKRlJTEokWLCAsLMzuWiIiIiIiUlttNxI8/UWXlSoJOnfIe9lgs2Nq14+RVV+GsHGViQPM53bB4v4VNJywY1nRCay8gIOSo9/GLgi6ie2h3AowAE1OKiIivsNvtxMfHk5mZSWRk5L+eqwarH7LZbERFRZGenv6fXwC+yOFwkJiYSNeuXbFarWbHEZEiUN2K+BbVrEj55XE4sC1bxqlXX8N18qT3uDswkJhBg6hyz90Yv22SVRF5PB7mrEnmucRfwSggJO5DrJW3eR9vXbU1UztNpVpYNRNTiuhnrYgvsNlsxMbGFqnBqiUC/JjVavXrb9T+fn8i/kh1K+JbVLMi5ZDVSuyAAcTcfDOn3n6Hk6+/jjs7G4vTyekXX8T9axI1Jk/GUoHfyTa4y7k0rBbBsCXbyTvSB1dufULiPgHDxfYT24lfEc+zlz3LhTUuNDuqiH7WipRjxalNbXIlIiIiIiLiYyxhYcQ++ACNvkokasAA73HbF8tJjr+NgsOpJqYz3zUta7D4/ouoGhGC43QHcpIfBGdlAE7lneK+xPt4c+eb6A2dIiJSFtRgFRERERER8VEBlStT9fERpN4+AOO3Wav5e/aQfMst5GzYYHI6c51fpzIfDepE07gI3Hl1yN4/BFdOYwDcHjczt8xk6DdDySrIMjmpiIj4OjVYRUREREREfFxO8+bUWbSQoHr1AHCdPs3Be+7l1NtvV+hZmrUqh/L+QxfTuWk1PK5K2A/eRf6JLt7Hvz70Nf0+68cvp34xMaWIiPg6NVhFRERERET8QFDDhtRfuoRKl11aeMDl4tiUZzgyajTu/Hxzw5koPDiQubdfwN2dGgAWCtK7Yj94JwFUAuBg1kH6f9GfT/d9am5QERHxWWqwioiIiIiI+ImAyEjqvPIKVe6/33ss86OPSOk/AMfRoyYmM1eAxWB8z/N46sYWBFgMXDlNydw7iCBXXQDyXHmM/n40T61/igJXgclpRUTE16jBKiIiIiIi4keMgACqPTqMWjOfxwgNBSBvxw4O3NIb+9atJqcz14CO9XjzzvZEBAficcRw8tf7CMy5yPv4kqQl3LH8DtKy00xMKSIivkYNVhERERERET8Uec011H93EdZatQBwpaeTcsedZLy32ORk5rr83KosG3gxtaNDwWMl4+ANuI71IdAIAmDnyZ30+awPa1PXmpxURER8hRqsIiIiIiIifiqkaVPqv7+UsI4dCw84HBydMIEj45/EU1Bx3wp/bvUIPhrUibZ1KwNgP9UW2/4HiQyMAyAzP5OHvnqIV358BbfHbWJSERHxBWqwioiIiIiI+LHA6Gjqvj6XmDtu9x47vWQJKXfehfPECROTmSs2PJhF93Xk+vNrAuDKq0nqrgeoHtAWAA8eZm+fzaBVgzidd9rEpCIiUt6pwSoiIiIiIuLnjMBAqo8aRY2pz2AEFb4VPnfrVg7c0pvcHTtMTmeeEGsAL/ZrzSNdGhcecIeyd+ctxLluwvLbn8vfp35P38/6suvkLhOTiohIeaYGq4iIiIiISAVR+cYbqbdwIYFxhW+Fdx47Rspt/Tn94UfmBjORYRgM63ouL/ZrTVCABbDwa1IHIjMHEhUUDUBaThoDvhjA+0nv4/F4zA0sIiLljhqsIiIiIiIiFUhoyxY0eH8poe3aAeApKODIqFEcfXoKHofD5HTmuaF1Ld69vwNVKhXO8D2UVpvs/YM5J+I8ABxuBxPXT2Tc2nHkOfPMjCoiIuWMGqwiIiIiIiIVTGBsLPXmvUnlfn29xzLeeYeD996HMyPDxGTmalcvho8GdaJRtXAATmdVYveW/nSocr33nI/3fUz/L/pzyHbIrJgiIlLOqMEqIiIiIiJSARlBQdSYMIG4iRPBagXAvnEjyTffQt7u3SanM0+dmDCWPXQxlzaOBaDAZeGr7y/msspDCQkIAeCXjF/o+1lfvj30rXlBRUSk3FCDVUREREREpAKL7tuHevPfIiC2sKHoSEsj+dZ4Mj//3ORk5okKtfLmne25rUNd77HP18fR3BhHvcj6AGQ5shjy9RBe3PoiTrfTpKQiIlIeqMEqIiIiIiJSwYW1bUuDZe8T0qoVAJ68PNIeG87x557D43KZnM4c1gALk29swbjrzsMwCo99uyMAS9pQLqvVxXve6zte58HEBzmZe9KkpCIiYjY1WEVERERERARr9erUe+dtom66yXvs5OtvcOiBB3FlZpqYzDyGYXDPJQ2YO+ACwoICAPjpUB7bNvfkjiZDCDAKj208upE+n/Vh+/HtJqYVERGzqMEqIiIiIiIiAFiCg6kx5WmqjxkDAYXNw5zvv+dAnz7k//qryenMc9V51Vn64EXUiCpcgzXtdB5vLa/H4GbPUTW0KgDH7ce5a8VdLNy9EI/HY2ZcERE5y9RgFRERERERES/DMIgZ0J+6b7xBQOXKADhSDpLctx9ZX31lbjgTNa8ZxceDOtGqdhQA2flOpnyQzy1xM7ig+gUAOD1Opm6ayhNrnsDusJsZV0REziI1WEVEREREROQvKnXsQP333ye4WTMA3HY7hwcP4cTLs/C43SanM0e1yBAW338R3ZvHAeD2wPQv0qidN5Q7zrvTe97yA8uJ/zye/Zn7TUoqIiJnU6DZAeTMcTgcOBwOs2OUud/vyR/vTcRfqW5FfItqVsS3nMmaNapXo9b8tzj+5JNkL18BQHpCArm7dlH9mSlYwsPL/DXLu0ADXuzTkue/CuW1NQcAeGfDYS5vfAlPdWrG1C2TyHHmsC9zH7d+disTOk7gqrpXmZxayhv9rBUp/4pTn4ZHi8P4jYSEBBISEnC5XCQlJbFo0SLCwsLMjiUiIiIiIr7O4yH6u++IXb4C47c/IfOrVSPt9gE4qlY1OZx5Nhw3WLzfgttjAFAj1EPvJsf4wvEux9zHvOd1Cu5Et5Bu3k2xRESk/LPb7cTHx5OZmUlkZOS/nqsGqx+y2WxERUWRnp7+n18AvsjhcJCYmEjXrl2xWq1mxxGRIlDdivgW1ayIbzmbNZuzdi3HRjyOOysLAEtEBNWnTqXSZZee0dctzzYeOMWgd7eTmesEIDY8iBf6NuGTtFksT17uPa911dZM6zSNqmEVtyEt/6OftSLln81mIzY2tkgNVi0R4MesVqtff6P29/sT8UeqWxHfopoV8S1no2YrX3EFYe8v5fDgweT/uhd3VhZHBg+m6rBhVLnvXgzDOKOvXx5dcm51PhzYiXvmb+ZAeg7p2QXcM38Xz/V+hHYd2jH1h6k43U62n9hO/Ip4nr38WdrHtTc7tpQT+lkrUn4Vpza1yZWIiIiIiIgUWVC9etR79z0iuv62rqjHw4nnnyf10Udx2+3mhjPJOVXD+XDgxXRoEANAvtPNkHe3czy1LW9d/RZxlQo3xTqZd5L7Vt7HvJ3z0JtJRUT8hxqsIiIiIiIiUiwB4ZWo9eKLxD48xHssa/kKkm+Np+DwYROTmadyWBDv3NOBW9rV9h6bkZjE/G88LOj+LhfVuAgAl8fF81ueZ9i3w8gqyDIrroiIlCE1WEVERERERKTYDIuFqgMHUnt2ApZKlQDI/+UXkm++hZz1601OZ46gQAvP3tKKx7s38R77YFsqQxb8ytMXv8gDrR7wHl91cBW3fn4rSRlJZkQVEZEypAariIiIiIiIlFhE587UX7KYoHr1AHBlZnLw3vs4NX9+hXwbvGEYDLyiEa/c1pYQa+Gf3JuST3HLKxvoXutOErokEBEUAUCKLYXbPr+NT/d9amZkEREpJTVYRUREREREpFSCGzak/tIlVLr8ssIDLhfHnpnKkZGjcOflmRvOJNe0rMGSBy6iakQwACkn7fSavZaAvPNYct0SmsU0AyDPlcfo70czecNkClwFZkYWEZESUoNVRERERERESi0gMpI6s2dT5YH/vQ0+8+OPSek/AMeRIyYmM0+r2pX5eFAnmtWIBMCW5+SONzexZrebd3q8Q6/GvbznLv5lMXeuuJMj2RXz30pExJepwSoiIiIiIiJlwggIoNqwodR6YSZGaCgAeTt3cuCW3ti3bDE5nTlqVg5l6YMX0aVpNQCcbg+jPtjBjC/3M77jBCZePJEgSxAAO9J30OezPqxLXWdmZBERKSY1WEVERERERKRMRXbvTv333sVauzYArpMnSbnjTjLee8/kZOYIDw5kzu0XcM8lDbzH5ny3nwcXbKF7vetZ0GMBtcJrAXA6/zQPfvUgr/34Gm6P26zIIiJSDGqwioiIiIiISJkLadKE+kuXEHZRx8IDTidHJ0zkyPgncRdUvLVGAywG4647j8k3tiDAYgCQ+PMxer+6nujABiy+bjGX1S5cw9aDh1nbZzF41WAy8zPNjC0iIkWgBquIiIiIiIicEYHR0dSdO5eYO+/0Hju9ZAkH77gTx/Hj5gUzUf+O9Zh3Z3siggMB2JVm44aE7zmUDi93fpmH2zyMxSj8U31N6hr6ftaXQ1mHzIwsIiL/QQ1WEREREREROWOMwECqj3yCmtOmYgQVrjWau20bybf0Jvenn0xOZ47Lzq3KBwMvpk5M4Tq1x2z59H51PV/9fJz7Wt3Hq1e9SnRwNACp2ak89u1j5LvyzYwsIiL/Qg1WEREREREROeOibriBegsXEhgXB4Dz+HFSbuvP6Q8+NDmZORpXj+CjgZ1oV6+wkZrrcPHAgi3M+W4fHWt0ZEnPJdSLrAfA7lO7efaHZ82MKyIi/0INVhERERERETkrQlu2oMH7Swlt1w4Aj8PBkdGjOfr0FDwOh8npzr4q4cEsvLcDN7SuCYDHA1O+2MOoD3ZQJaQaMy6fQXBAMACLf1nMigMrzIwrIiL/QA1WEREREREROWsCY2OpN+9NouNv9R7LeOcdDt5zL85Tp0xMZo4QawAv9G3N0Ksae4+998Mh7nhzE3Eh5zDywpHe4xPWTyDFlmJGTBER+RdqsIqIiIiIiMhZZQQFETd+PHFPTQKrFQD7pk0k39KbvJ9/Njnd2WcYBkOvOpcX+7UmKLDwz/R1+05y0ytruSCmOz0a9AAgx5HD8NXDtR6riEg5owariIiIiIiImCK6d2/qzZ9PQNVYABxpaSTH30bmZ5+bnMwcN7Suxbv3daBKpcLNwPafyOGm2eu49ZxHqR9ZH4A9p/YwbdM0E1OKiMj/pwariIiIiIiImCasbRsavP8+Ia1aAeDJyyNt+HCOP/ccHpfL5HRnX7t6MXw0qBONq4UDkGF38Nji3Uy+eDohASEALE1ayhf7vzAzpoiI/IEarCIiIiIiImIqa/Xq1HvnbaJ69fIeO/n6Gxy6/wFcmZkmJjNHnZgwlg28mPNqRAKw70QOb68uYHSH0d5zJq6fyIHMA2ZFFBGRP1CDVURERERERExnCQ6mxtOTqT52LAQEAJCzdi0Hevch/9dfTU539kWGWJkV34ZKQYX/Fsu2HsaZeQE9z+kJgN1pZ/jq4eQ588yMKSIiqMEqIiIiIiIi5YRhGMT0v426b75JQHQ0AI6DBznQtx+2xEST051951QNZ0qvlt7x+I93Ed9wGOdEnQNAUkYSUzdNNSueiIj8Rg1WERERERERKVcqdbiQBu8vJfi8ZgB47HZShzzMiZdexuN2m5zu7LqhdS36ta8DQK7DxfAlu5nS6X/rsS77dRmf7f/MzIgiIhWeGqwiIiIiIiJS7lhr1aL+woVEXnut91j67NkcHjQYV3a2icnOvid7Nufc6oWbXu05msXC7wsY03GM9/FJ6yexP3O/WfFERCo8NVhFRERERESkXLKEhlLzuWepNmIEWAr/fM3+5huS+/XDcey4yenOntCgABLi2xJiLfw3WLTxIAE5F3JDwxsAyHXm8ti3j5HrzDUzpohIhaUGq4iIiIiIiJRbhmFQ5Z67qTNnDpaoKAAK9u4j5fYBONLSTE539jSuHsGkG1p4x6M+2MGAc4fRqHIjAPae3sszG58xK56ISIWmBquIiIiIiIiUe+GXdKLBksVYa9UCwJFykJQBt1Nw+LDJyc6e3u1qc1ObwvvPzncyfPFuplwyjdDAUAA+3Pshn+z7xMyIIiIVkhqs5cTWrVt59NFHOf/884mMjKRq1apcdtllfPTRR2ZHExERERERKReC6tWj3oJ3sNarC4AjNZWU/gPIP3DA5GRnh2EYPHVjC86JrQTAjtRMFq91MK7jOO85kzdMZt/pfWZFFBGpkNRgLSemT5/O/PnzufDCC3n22WcZM2YM+fn53HTTTYwfP97seCIiIiIiIuWCtUYN6r3zDkENGwLgPHqUlNtvJ3/vXpOTnR3hwYG8HN+GoMDCP+ffWpdMUF57ejXuBfxvPVa7w25mTBGRCkUN1nJiyJAhpKamMnfuXB544AGGDh3KunXr6NixI8888wynTp0yO6KIiIiIiEi5YK1WjXpvzye4SRMAXCfSSRlwO3l79pic7OxoXjOKcded5x2PWPojAxo/4l2PdV/mPp7e+LRZ8UREKhw1WMuJTp06ERIS8qdjAQEB9OrVC6fTSVJSkknJREREREREyp/AKlWo+9Y8Qpo3B8CVkUHKHXeSu2OnycnOjv4d6tKjZRwAtjwnI5buZtqlz3nXY/1k3yd8+OuHZkYUEakw1GAt59J+2xWzatWqJicREREREREpXwKjo6k7701CW7cGwJ2ZycG77sK+bZu5wc4CwzCYenMr6sQUNlS3HTzNso0FPHnRk95zpmycwq8Zv5oVUUSkwvDLBqvdbmf58uVMnjyZXr16Ua9ePQzDwDAMJkyYUKTnyMrKYsKECbRs2ZLw8HCioqJo3749M2bMoKCg4MzewG9SU1OZN28eHTp0oOFv6wuJiIiIiIjI/wRERlLn9dcJu+ACANzZ2Ry8515yNm0yOdmZFxliZdatbbEGGAC8tno/YY723HLuLQDkufJ4bLXWYxUROdP8ssG6adMmevTowbhx4/jwww85ePBgsa5PSUmhVatWTJw4kZ07d+LxeMjPz2fz5s0MHz6cjh07kpGR8bfXejwe8vLyivTxb41au93OTTfdRH5+PnPmzClWfhERERERkYokILwSdebOodLFFwHgsds5dP8DZK9da3KyM+/8OpUZeU0z7/ixJT9yZ5NHaBJduD7tgcwDPLXhKTwej1kRRUT8nl82WAGio6Pp0qULI0aM4N133yUuLq5I1zmdTnr27ElycjI1atQgMTGRnJwc7HY77733HhEREWzbto3+/fv/7fUpKSmEhoYW6aNt27Z/+xwFBQX06tWLrVu3snDhQlq1alXifwcREREREZGKwBIaSu1XXqHS5ZcB4MnL4/BDA8n69ltzg50Fd3eqz1XNqgNwKqfgt/VYpxMWGAbAZ/s/48O9Wo9VRORMCTQ7wJlw6aWXcurUqT8dGzlyZJGunT9/Pjt27ABg2bJlXHRR4f+AWiwW+vbti9vtJj4+ni+++IJVq1bRpUuXP10fGxvLvHnzivRa0dHRfznmcDjo06cPK1euZN68efTq1atIzyUiIiIiIlLRWYKDqfPyy6Q+9hhZiV/hKSjg8JCHqfX8DCK7djU73hljGAbP9W5FjxfXkJaZx6YDp/j4hxgmXDyBx797HChcj7V5leY0iWlicloREf/jlw3WgICAEl87f/58AK688kpvc/WP+vXrx5gxYzhw4ABvv/32Xxqs4eHh3HnnnSV6bZfLRXx8PB9//DGvvPIKd9xxR4meR0REREREpKIygoKo9fzzpD3xBLYvloPDQerQYXimTyPq2mvNjnfGVA4L4qVb29B3zgZcbg8vf7OXBed0oM+5fViStIR8Vz7DVw/nveveo5K1ktlxRUT8it8uEVASdrudtb+t0XPNNdf87TmGYdC9e3cAVq5cWWav7Xa7ueOOO3j//feZOXMmDz74YJk9t4iIiIiISEViWK3UfPZZom64ofCAy0XaiMc5/eFHpuY60y6oH8Nj3c4FwOOBR97bzt3NHqFZTOEarcm2ZCaun6j1WEVEyphfzmAtqd27d+N2uwFo0aLFP573+2NHjx7l1KlTxMTElPq1R4wYwcKFC7nooouIjY1lwYIFf3r84osv5pxzzvnba/Pz88nPz/eObTYbULjcgMPhKHW28ub3e/LHexPxV6pbEd+imhXxLarZfxY7aSKewEBsy5aB282RUaNw5uYS1fsWs6OdMfdcVJd1e9P5fu9J0rPzGbF0F1Nueob+X95GjjOH5QeW07ZqW25udLPZUSs01a1I+Vec+lSD9Q/S0tK8n9eqVesfz/vjY2lpaWXSYN2yZQsA69evZ/369X95fN68ef/YYH3mmWeYOHHiX46vXLmSsLCwUmcrrxITE82OICLFpLoV8S2qWRHfopr9B+0voOqRI0SvWwfAiUmT2LV9G6c7dTI52JnTvTL8ZA3A5jBYt+8UMxefoGe1nrznfA+AaZumcfrn09QIrGFuUFHdipRjdru9yOeqwfoHWVlZ3s//rTH5x8f+eE1pfFuKnS1HjRrFo48+6h3bbDbq1KlDt27diIyMLIN05YvD4SAxMZGuXbtitVrNjiMiRaC6FfEtqlkR36Ka/W+eHj04OXMmp+e9BUC1Tz6lWaNGRN91l7nBzqD6rU5x+7zNuD2w/HAAC7rdh/uEmyW/LsGJk0/4hIVdFxJuDTc7aoWkuhUp/35/h3hRqMHqB4KDgwkODv7LcavV6tffqP39/kT8kepWxLeoZkV8i2r238U9/jiBoaGkz34FgJPPz8RwOqk6cKDJyc6MS86tzsNdGvPCV7/i9sCjS3fw0eBh7Dy1k59P/syh7ENM+WEK0y+bjmEYZsetsFS3IuVXcWpTm1z9QUREhPfzf5sG/MfH/niNiIiIiIiIlE+GYVD14YepOvQR77H0l17m+MwX/HbTpyGdG9PxnMIl7Y7a8hj9wW6eu+w576zVFckrWPLLEjMjioj4BTVY/6BmzZrez1NTU//xvD8+9sdrREREREREpHyLffBBqj3xhHd88rXXOD5tul82WQMsBi/2a0OVSkEAfL3nOF/+6GBSp0nec6b9MI2fT/5sVkQREb+gBusfNGvWDIul8J9k586d/3je74/FxcWVyQZXIiIiIiIicvZUuetOqo8b6x2feustjj31FB6328RUZ0b1yBCe79vaO566fA+xxgXc1uw2ABxuB8NXDyeroGz2FxERqYi0BusfhIWF0alTJ9asWcOKFSsYMWLEX87xeDx8+eWXAHTr1u1sRywWh8OBw+EwO0aZ+/2e/PHeRPyV6lbEt6hmRXyLarZkIvr0wR0QwImJk8DjIWPRu7jy8qg6fjxGQIDZ8crUxQ0q88ClDXhtzQGcbg+DF23l/QcfYvux7ew6tYtDWYcY//14pl0yTeuxniWqW5Hyrzj1qQbr/3PHHXewZs0avvnmGzZu3EiHDh3+9PjSpUvZv38/ALfffrsZEf9RQkICCQkJuFwuAFauXElYWJjJqc6cxMREsyOISDGpbkV8i2pWxLeoZksgNJSIPr2JW7IUw+PB9sGHHD6QzNHet4CfNVmbuKFBRAAHsgxST+fxwJzvuKnR1ewz9pHnyeOrQ1/x5EdP0jG4o9lRKxTVrUj59W/7M/1/hscfF5oBMjIyvI1GgLZt23Lo0CFGjBjB448/7j0eEhJCeHi4d+x0Omnbti07duygVq1azJ8/ny5duuB2u1m2bBn33nsvNpuNa665hi+++OKs3lNR2Ww2oqKiSE9PJzIy0uw4Zc7hcJCYmEjXrl2126KIj1DdivgW1ayIb1HNll7Wii85NmoUOJ0AhHfrRvWpz2D42b9n2ulcrp+9nszcwvt88rqm1Kq5j8fWPAaA1WJlXtd5nFflPDNjVgiqW5Hyz2azERsbS2Zm5n/21/x2BmubNm1ISUn5y/Fnn32WZ5991ju+4447eOutt7zjwMBAPvnkE6688kqSk5O56qqrCAsLw+12k5eX533uhQsXnvF7KC2r1erX36j9/f5E/JHqVsS3qGZFfItqtuRiel6HNSyUw0OHgcNB9sqV4HJRa+bzWIKCzI5XZupVtfJc79bc9/ZmAJ5ZnsQHAy9mwHkDeOfnd3C4HTyx9gmW9FxCZJD/TdYpj1S3IuVXcWpTm1z9jfr16/PTTz8xfvx4WrRogWEYWK1W2rVrx3PPPceGDRuIjo42O6aIiIiIiIiUkYguXaiTMAvjt4Zq9qpVHB40GPdvE238RdfzqnPPJQ0AKHC5GbxoK/c1H0LL2JYApGanMn7tePz0za4iImeE3zZYk5OT8Xg8//nxx9mrfxQREcHEiRPZsWMH2dnZ2Gw2Nm/ezGOPPUaQH/0PpoiIiIiIiBQKv+wy6rz2KkZoKAA5a9Zw6MGHcBdjHT5f8ET3prSqHQVA8kk7T368h2cve9Y7a3XVwVUs2rPIzIgiIj7Fb5cIkMI1XfxxR0Lttijie1S3Ir5FNSviW1SzZSvogguo+cps0gYOwmO3Y9+wgZR776VmQgKWP+zf4csMYGbvltwwewPZ+U4++TGNjg0qM7HjRIZ9NwyA5zY/x3mVz6NFbAtzw/op1a1I+Vec+vTbTa4qooSEBBISEnC5XCQlJbFo0SLCwsLMjiUiIiIiIuJzQlIOUuvNNwn4bYmA3Dp1SL3nbty/zW71B9tOGryVFACA1eLh0ZYufjSWszZ/LQCVjcoMihhEqMV/7llEpKjsdjvx8fFF2uRKDVY/ZLPZiIqKIj09/T+/AHyRdlsU8T2qWxHfopoV8S2q2TMn7+efSbv/AdyZmQAEN2tKzTlzCKhc2dxgZejJT39m0abDADSsWokl97fj4e8e5Kf0nwC4ovYVzLh0BoZhmBnT76huRco/m81GbGxskRqsWiLAj/n7boT+fn8i/kh1K+JbVLMivkU1W/as559Pvbff5uBdd+E6dYr83XtIu+de6r75BoGxsWbHKxPje7Zg68FM9hzNYt+JHKau2M+MHjO45dNbyMzP5NvD3/Ler+9xe/PbzY7ql1S3IuVXcWrTbze5EhERERERESmtkCbnUu+dtwmsWhWA/KQkUm6/A8exYyYnKxsh1gASbmtLWFDhUgFLtxxm3S9OplwyxXvOzC0z+fHEj2ZFFBEp99RgFREREREREfkXwQ0bUm/BOwTWqAFAwf79pAy4HUdamsnJykbDquE8fdP/NrMa+9FOagW35a4WdwHg9DgZsXoEmfmZZkUUESnX1GAVERERERER+Q9B9epR7513sNauDYDj4EFS+g+g4NAhk5OVjZva1KZ3u8J7sxe4GLRwK/e3GEibam0AOJJzhDHfj0HbuIiI/JUarCIiIiIiIiJFEFS7FvUWvENQvXoAONLSSOk/gPz9B0xOVjYm3tCcxtXCAdhzNIupy39l+mXTqRxcGYDVh1czf9d8ExOKiJRP2uTKjzkcDhwOh9kxytzv9+SP9ybir1S3Ir5FNSviW1SzZ1mVKtSc9yZp991Pwb59OI8dI2XAAGq+PpfgRo3MTlcqVgNe7NOKXq9tIM/hZsGGg1xYrzJPXfQUQ74dAsALW1+gRUwLzq96vslpfZvqVqT8K059Gh7N7/cbCQkJJCQk4HK5SEpKYtGiRYSFhZkdS0RERERExO8EZGdT6/U3CDlyBABnpUqk3nsP+TVrmpys9NYfM3hvf+GmVyEBHka0crHVs5Lv8r8DINKIZHDEYMIs+ntTRPyX3W4nPj6ezMxMIiMj//VcNVj9kM1mIyoqivT09P/8AvBFDoeDxMREunbtitVqNTuOiBSB6lbEt6hmRXyLatY8rsxM0h54kPxduwCwREZS87VXCWnR4j+uLN88Hg+Pvb+DT386CkDLWpEsuLstQ1Y/xLYT2wC4pOYlvHD5C1gMrTxYEqpbkfLPZrMRGxtbpAarlgjwY1ar1a+/Ufv7/Yn4I9WtiG9RzYr4FtXs2WeNjaXeW/M4dP8D5G7bhttmI+2++6kz5zXC2rY1O16pPHPz+exItZF80s6OVBsvfp3Cs52fpc9nfTiVd4rv075nwS8LuKflPWZH9WmqW5Hyqzi1qf9qEhERERERESmhgIgI6r4+l7ALLwTAnZ3NwXvvI2fjJpOTlU54cCCz4tsSFFDYNnhz7QF+SoFnLnkGAwOAl7e9zNZjW82MKSJSLqjBKiIiIiIiIlIKlkqVqPPaq1S6+GIAPHY7h+6/n+zv15qcrHRa1Ipi7HXNvOPhS3+kXqU23NfqPgBcHhcjvhvBqbxTZkUUESkX1GAVERERERERKSVLaCi1X5lN+BVXAODJz+fwQw+R9c035gYrpQEd69G9eRwAmbkOHn53G/e2eIALql8AwHH7cUavGY3b4zYzpoiIqdRgFRERERERESkDluBgar/0IhFduwLgcTg4PORhbF+uNDlZyRmGwbRbWlE7OhSALSkZvLRqP9Mvm05MSAwAa9PW8ubON82MKSJiKjVYRURERERERMqIERRErZnPE3nttYUHnE5SH32UzM8+NzdYKUSFWpkV35ZAS+Haq698u4+fD8O0y6b9aT3WzUc3mxlTRMQ0gWYHkDPH4XDgcDjMjlHmfr8nf7w3EX+luhXxLapZEd+imi2fqj49GU9gIFkffwwuF2kjRuDMzSXyxhvMjlYizeMqMaJbY55ZkQTAsMXb+GTgRdzX4j7m7JyD2+NmxHcjeO+a97wzW+WfqW5Fyr/i1Kfh8Xg8ZzCLnEUJCQkkJCTgcrlISkpi0aJFhIWFmR1LRERERESkYnK7qfbRx1TeuNF76NhNN5HZsYOJoUrO44G5v1jYlVH4ZthGkW4eaubkbftb7HfuB6BhYEPuqHQHFkNvmBUR32a324mPjyczM5PIyMh/PVcNVj9ks9mIiooiPT39P78AfJHD4SAxMZGuXbtitVrNjiMiRaC6FfEtqlkR36KaLd88Hg/p06eTuWCh91jsE49TuX9/E1OVXIa9gOsT1nPUlg/Aw1c25NaLorh1+a2czDsJwMBWA7m3xb1mxiz3VLci5Z/NZiM2NrZIDVYtEeDHrFarX3+j9vf7E/FHqlsR36KaFfEtqtnyq8aYMQSGhnJy7usApE+bjsXlosq9vteErBZl5eX4tvSbswGX28PL3+6jY6MOTL9sOvcl3ofb4+bVHa/SLq4dF9a40Oy45Z7qVqT8Kk5tas6+iIiIiIiIyBlkGAZVH32U2EGDvMeOPzeDEwkJ+OKbStvXj+HRrucChcsGPPLeds6JOJ8Hz38QALfHzRNrniA9N93MmCIiZ40arCIiIiIiIiJnmGEYVB0ymKrDhnmPpb88ixMzX/DJJutDlzfk0saxAJzIymfY4u3c2/w+OtboCEB6bjoj14zE5XaZGVNE5KxQg1VERERERETkLIl94H6qjxrpHZ+cM4fjU6f5XJPVYjF4vk9rqkYEA7Dm13Tmfp/M1EunUjW0KgAbj2xkzk9zzIwpInJWqMEqIiIiIiIichbF3HEHcU+O945PzZ/P0UmT8LjdJqYqvqoRwbzYtzWGUTiesTKJA8cMpl02DYtR2G545cdX2HBkg4kpRUTOPDVYRURERERERM6y6FtvpcbTk/m9O3n63fc4Mm4cHpdvvaX+4kaxDOncGACX28PD726jUcT5DGpduN6sBw8jvxup9VhFxK+pwSoiIiIiIiJigso330zN6dMgIACAzGUfkDZyFB6n0+RkxfNIl8Z0aBADQFpmHiPe/5F7WtzDxTUvBuBk3kme+O4JrccqIn5LDVYRERERERERk0T17EmtGTMgMBAA26efkvrYcDwFBSYnK7oAi8GL/doQUykIgK92H+etdQd55tJnqBZaDYBNRzfxyo+vmBlTROSMCTQ7gJw5DocDh8Nhdowy9/s9+eO9ifgr1a2Ib1HNivgW1azvC+3SmRozn+fIo4+Bw0HWl19yMD+PGjNmYAQFmR2vSKqEBTC9V3PufWcbAFOX76Z1rQuZ0mkKD6x6AJfHxZyf5nB+lfPpWKOjyWnNp7oVKf+KU5+Gx9e2KpR/lJCQQEJCAi6Xi6SkJBYtWkRYWJjZsURERERERKQIwn5Joubbb2P5bYmAnHPPJe32AXisVpOTFd0nKRZWpRW+WbZKsIfhrVz84FxNYl4iAJWMSgyKGESkJdLMmCIi/8lutxMfH09mZiaRkf/+PUsNVj9ks9mIiooiPT39P78AfJHD4SAxMZGuXbti9aFfNEQqMtWtiG9RzYr4FtWsf7Fv2sSRwYPx5OYBEHphe2rMmoUlNNTkZEXjcLmJf+MHth/KBKB78+q80KcFQ1cPZe2RtQC0rdaWVzu/SqCl4r6pVnUrUv7ZbDZiY2OL1GCtuN/NKgCr1erX36j9/f5E/JHqVsS3qGZFfItq1j9EdeqE9fXXOXT/A7hzcsjd9AMZs2YRN3q02dGKxGqFWfFt6fHiGmx5TlbsOsbSbVV55rJn6P1pb47Zj7H1+Fbm7prLw20fNjuu6VS3IuVXcWpTm1yJiIiIiIiIlCNh7dpRd96bGCEhAGQsWEjezz+bnKroakeH8Wzv873jpz77mbRTFp69/FkCjAAA5u6Yy9rUtWZFFBEpU2qwioiIiIiIiJQzoa1aEfvQQ4UDt5sjEyficbvNDVUMVzeP465O9QEocLoZsmgbjaNa8kjbR7znjFoziqM5R01KKCJSdtRgFRERERERESmHqtx1J0HnnANA3o8/cXrJUpMTFc/Ia5rSslYUAPvTcxj74Q5uP+92Lqt9GQAZ+Rk88d0TON1OM2OKiJSaGqwiIiIiIiIi5ZARFETc+PHe8fHnn8d58qSJiYonODCAWfFtCA8u3P7lo+1pLNuaxtOdniauUhwAW49vZda2WWbGFBEpNTVYRURERERERMqpSh07EHl9TwDcNhvHpz9rcqLiqVelElNvbukdj/94JycyA3j2smcJNAobr2/sfIPvDn9nVkQRkVJTg1VERERERESkHKv++ONYIiMByPz4Y3I2bTI5UfFc16om8R3qApDncDNo0VaaVG7J0HZDveeM/n601mMVEZ+lBquIiIiIiIhIORYYG0u1YUO946MTJ+EpKDAvUAmMv+48msZFAJB0LJsJn+zi9vNu54o6VwCQmZ/JiNUjcLgdJqYUESkZNVhFREREREREyrnKffoQ0rLwrfYF+/Zx8q35JicqnhBrALPi2xJqDQBg8eZDfLw9jcmdJlOzUk0Atp/YrvVYRcQnqcEqIiIiIiIiUs4ZAQHETXgSLIV/xqfPnk3B4VSTUxVPo2rhTL6xhXc85sMdnLQF8OzlzxJoKVyPdd7OeWw7vs2siCIiJRJodgA5cxwOBw6H/7294vd78sd7E/FXqlsR36KaFfEtqtmKI/Dcc4nq14/MRYvw5OVxZPJT1Hz5ZbNjFcv1rarz/d6afLgtjZwCF4MWbmXp/RcysNVAXtr+Eh48jFkzhvd6vEdoYKjZcc8Y1a1I+Vec+jQ8Ho/nDGaRsyghIYGEhARcLhdJSUksWrSIsLAws2OJiIiIiIhIGbHk5lF/xgwCs7IASL19ADnNm5ucqnjyXTBjRwDHcg0ALq3uplcDJ3Oz53LIdQiAjkEduS7sOjNjikgFZ7fbiY+PJzMzk8jfNhr8J2qw+iGbzUZUVBTp6en/+QXgixwOB4mJiXTt2hWr1Wp2HBEpAtWtiG9RzYr4FtVsxZO1fDnHHn8CgMAaNaj70YdYfGxyzS9Hs7j5tY3kO90AvNzvfJrVyePW5beS58oD4NXOr3Jh3IVmxjxjVLci5Z/NZiM2NrZIDVYtEeDHrFarX3+j9vf7E/FHqlsR36KaFfEtqtmKI7pnT7I/+oicdetxHjlC5ty5VBs+3OxYxdKiTgwTrm/OqA92ADD6o1188fClPNL2Eab9MA2ASRsnsez6ZYQHhZsZ9YxS3YqUX8WpTW1yJSIiIiIiIuJDDMOg+rhxGL/98X/yrfnkJSWZnKr4+rWvQ8/zawKQledk8LvbuKVxPy6ofgEAaTlpPLf5OTMjiogUiRqsIiIiIiIiIj4muEEDqtx3X+HA6eTopEn42gqAhmEw5aYW1KtSuLzBj4dO83zirzzV6SnCAguPLft1GWsOrzEzpojIf1KDVURERERERMQHVXngfqx16wKQu3kLmR9+ZG6gEogIsZIQ35aggML2xNw1+zl0PJTh7f+35MGEdRPIzM80K6KIyH9Sg1VERERERETEB1mCg4kbN847Pv7sszgzMkxMVDItakXxePcmAHg8MHzpj3SrcwOdanYC4HjucaZummpmRBGRf6UGq4iIiIiIiIiPCr/0EiK6dwfAlZHBiednmpyoZO7u1ICO58QAkHo6l4mf/syEiycQYY0A4LP9n7EqZZWZEUVE/pEarCIiIiIiIiI+rPqokVjCCtcsPb10KfZt20xOVHwWi8Fzvc8nIjgQgA+2prL9gIeRHUZ6z5m0YRKn8k6ZFVFE5B+pwSoiIiIiIiLiw6zVq1P1kYe946MTJ+FxOk1MVDK1o8OYcH1z73jUBzvoULUrV9S5AoBTeaeYvGGyz23mJSL+Tw1WERERERERER8XfdttBDdrBkD+nj1kLFxocqKS6dW2Ft2bxwGQYXcw6oOdjO84nqjgKAASUxJZkbzCzIgiIn+hBquIiIiIiIiIjzMCA6nx5HgwDABOvPgSjmPHTE5VfIZhMKVXS2LDgwH4es9xvtqZy9iOY73nTN4wmRP2E2ZFFBH5CzVYRURERERERPxAaOvWVO7dGwC33c6xZ6aanKhkYioFMf2Wlt7xU5/9TLOIS7m6/tUA2ApsTFw/UUsFiEi5oQariIiIiIiIiJ+o9ugwAmJiAMhasYLsNd+bnKhkOjetzq0X1gHAXuDi0SU/MrL9aKqEVAFg9eHVfLT3IxMTioj8jxqsIiIiIiIiIn4ioHJlqo0Y4R0ffeop3Hl5JiYqubHXnkfdmDAAtqRksHjjKZ686Env49N/mM7RnKNmxRMR8VKDVURERERERMSPRN14A2EXXACA4+BBTs6Za3KikqkUHMjMvudjKVxWlhe+SqJqQFuub3g9ANmObMatHaelAkTEdIFmB5Azx+Fw4HA4zI5R5n6/J3+8NxF/pboV8S2qWRHfopqVv1NlzGjsvfuA00n63LmEXdOdoPr1zY5VbK1qRnD/pQ149bsDOFwehr63jXfuGcqGtA0czz3OhiMbeHf3u/Ru3NvsqMWiuhUp/4pTn4ZH/9XjNxISEkhISMDlcpGUlMSiRYsICwszO5aIiIiIiIiYIHb5cmK+XQ1ATqNGpN57DxiGyamKz+mG53cEkGovzH5FDTctav3C/Jz5AAQRxOCIwcQExJgZU0T8jN1uJz4+nszMTCIjI//1XDVY/ZDNZiMqKor09PT//ALwRQ6Hg8TERLp27YrVajU7jogUgepWxLeoZkV8i2pW/onbbufgTb1wpqUBUH36NCKuucbkVCWTdCyLm17dSIHTjWHAO3ddwFcnXmHZ3mUAtKnahrlXzcVi+MZKiKpbkfLPZrMRGxtbpAarlgjwY1ar1a+/Ufv7/Yn4I9WtiG9RzYr4FtWs/EVUFHFjx3B44CAA0p99lqgrryQgIsLkYMXXvHYMj1/dhMmf78bjgSc+2MX7g4ay4egGUrNT2XZiG4t/XcztzW83O2qxqG5Fyq/i1KZv/NeOiIiIiIiIiBRbROfOhHfuDIDrRDonXnzJ5EQld3enBnQ8p3AZgNTTuTy3PIWnOj3lffylbS+xP3O/WfFEpAJTg1VERERERETEj8WNGY0RGgpAxqJF5O7aZXKikrFYDJ7rfT4RwYVvxl229TAn02vTv1l/APJd+Yz9fixOt9PMmCJSAanBKiIiIiIiIuLHrLVqETvwocKB283RCRPxuFzmhiqh2tFhPHl9c+941Ac7uLXxA9SLrAfAjvQdvLXrLZPSiUhFpQariIiIiIiIiJ+rcscdBDVqCEDejh2cXrLE5EQld3PbWnRvHgdAht3BhI9/ZXKnyd4NrhK2J5CUkWRmRBGpYNRgFREREREREfFzRlAQNZ580js+/vxMnOnpJiYqOcMwmNKrJbHhwQB8vec4u5NjuLP5nQA43U7GfD8Gh8thYkoRqUjUYBURERERERGpAMLatyfqxhsBcGdlcWz6dHMDlUJMpSCm39LSO37qs5/pWedOGlVuBMCeU3uYs2OOWfFEpIJRg1VERERERESkgqj2+AgsUVEA2D75lJwNG01OVHKdm1bn1gvrAGAvcPHEst1MungygUbhJlhzf5rLrnTf3NBLRHyLGqwiIiIiIiIiFURgTAzVHn3UOz46aRKeggITE5XO2GvPo25MGABbUjL4bmcw97W6DwCXx8WY78eQ78o3M6KIVABqsIqIiIiIiIhUIJV730Lo+ecDULB/PyffnGdyopKrFBzIzL7nYzEKxy98lUSn2L40i2kGwL7MfSRsTzAxoYhUBGqwioiIiIiIiFQghsVC3IQnwVLYEkh/5RUKDh82OVXJtasXw4OXNwTA4fIwYulOxnechNViBeCtnW+x/fh2ExOKiL9Tg1VERERERESkgglp1oyYAf0B8OTnc+ypyXg8HpNTldzQq87lvBqRACQdy+ajjW4Gth4IgAcPY9eOJdeZa2ZEEfFjarCKiIiIiIiIVECxQx4msFo1ALJXrybrq69MTlRyQYEWZvZtTVBAYZvjjbUHaBrak1ZVWwGQYkvhxa0vmhlRRPyYGqwiIiIiIiIiFVBAeCWqjx7lHR97egrunBwTE5VOk7gIHu/eBACPB554fxcjL5hAcEAwAAt3L2TTkU1mRhQRP6UGq4iIiIiIiEgFFXH11VS65BIAnEePciJhtsmJSufuTg3oeE4MAKmnc3nrWzuPtH3E+/i4tePIcfhuE1lEyic1WEVEREREREQqKMMwiBs3FiMoCIBT8+eT90uSyalKzmIxeK73+UQEBwKwbOthqrg6c0H1CwBIy0nj2R+eNTOiiPghNVhFREREREREKrCgevWo8sD9hQOXi6MTJ+Jxu80NVQq1o8N48vrm3vGYD3fxSOsxhAaGArDs12V8n/q9WfFExA+pwSoiIiIiIiJSwVW57z6C6tUDIHfrVjI//NDkRKVzc9tadG8eB0CG3cFLKzIYfsFw7+NPrnuSzPxMs+KJiJ9Rg1VERERERESkgrMEBRH35Hjv+Pizz+HMyDAxUekYhsGUXi2JDS/c4OrrPcdxnu7AxTUvBuC4/TjTNk0zM6KI+BE1WEVERERERESEShdfTGSPHgC4Tp/m+IwZJicqnZhKQUy/paV3PPnz3dzX7AnCreEAfLr/U1YdXGVWPBHxI4FmB5Azx+Fw4HA4zI5R5n6/J3+8NxF/pboV8S2qWRHfopqVshQz/DGyv/sOd3Y2me8vI/z66wlt08bsWCV2acMY+l5Qi8WbU7EXuJjyyREe6zyciRsnADBp/SRaRrckOiT6rOZS3YqUf8WpT8Pj8XjOYBY5ixISEkhISMDlcpGUlMSiRYsICwszO5aIiIiIiIj4kMpr11Ltk08ByI+LI+XhIRAQYHKqkst3wbQfAziZbwBwbV0nx6MWsMe5B4AW1hb0q9TPzIgiUg7Z7Xbi4+PJzMwkMjLyX89Vg9UP2Ww2oqKiSE9P/88vAF/kcDhITEyka9euWK1Ws+OISBGobkV8i2pWxLeoZqWseVwuDt8aT/7u3QBUGf4Y0XfcYXKq0tmSkkH8Gz/g9oA1wOD1OxsxZvPdZBYUbnT1TKdnuLre1Wctj+pWpPyz2WzExsYWqcGqJQL8mNVq9etv1P5+fyL+SHUr4ltUsyK+RTUrZcZqpcakiST36QseD6dmv0L0tddirVHD7GQl1rFRNR68vCGzv92Hw+Xh6c+O8HjP0YxZ+wQAUzdPpWOtjsSGxp7VXKpbkfKrOLWpTa5ERERERERE5E9CW7akcr++AHjsdo5NecbkRKU39KpzOa9G4Sy0pGPZ7PilPt3qdQMgMz+Tiesmojf5ikhJqMEqIiIiIiIiIn9RbdgwAqpUASArMZHs1atNTlQ6QYEWZvZtTVBAYSvk9e8PcHXcQGJCYgD49vC3fLLvEzMjioiPUoNVRERERERERP4iIDKS6k887h0ffWoy7txcExOVXpO4CB7v3gQAjwcmfpTC4xeM9T4+ddNUjuYcNSueiPgoNVhFRERERERE5G9F9uxJWIcOADgOHyb9tddMTlR6d3dqQMdzCmetpp7O5est1eh5Tk8Ash3ZjF87XksFiEixqMEqIiIiIiIiIn/LMAzinhwPv232cvKNN8nfv9/kVKVjsRg81/t8IoIL9/1etvUwF0TcSbWwagCsP7KepUlLzYwoIj5GDVYRERERERER+UfB55xDlbvvLhw4HBydOMnnZ3jWjg7jyeube8dPfZLMsNZjvOPnNj/HoaxDZkQTER+kBquIiIiIiIiI/KvYBx/AWqsWAPaNG7F99pnJiUrv5ra1uLp5dQAy7A4+WBvBLY1vASDXmcu4teNwe9xmRhQRH6EGq4iIiIiIiIj8K0toKNXH/W8zqGNTp+Gy2UxMVHqGYTDlppbEhgcD8PWe49Qz+lIrvLCRvOXYFhbuXmhmRBHxEWqwioiIiIiIiMh/irjiCiK6XgWA6+RJTrzwgrmBykCV8GCm39LSO56+PJlBLUZ7xy9ufZEDmQfMiCYiPkQNVhEREREREREpkuqjR2OEhQGQ8e575O7YaXKi0uvctDq3XlgHAHuBi7e+DuTWpvEA5LvyGbt2LE6308yIIlLOqcEqIiIiIiIiIkVirVGDqoMGFQ48Ho5OmIDH5TI3VBkYe+151I0pbBxvSckgLPt66kXWA+CnEz/x1q63TEwnIuWdGqwiIiIiIiIiUmQxtw8guHFjAPJ27SLjvfdMTlR6lYIDeb7P+ViMwnHC1ync3WQkFqOwbTJ7+2ySMpJMTCgi5ZkarCIiIiIiIiJSZIbVStzECd7xiZkv4DxxwrxAZeSC+jE8eHlDABwuD69+6aJ/09sLx24HY78fi8PtMDOiiJRTarCKiIiIiIiISLGEtW1L1M29AHBnZ3Ns2nSTE5WNoVedy3k1IgFIOpZN7vEuNIwqbLruPrWbuT/NNTOeiJRTarCKiIiIiIiISLFVGz6cgKgoAGyffUbO+vUmJyq9oEALM/u2JiigsF0yb20q/Ro8ToARAMDcn+ay6+QuMyOKSDmkBquIiIiIiIiIFFtgdDTVRgz3jo9OnIS7oMDERGWjSVwEI65uAoDHAy8vz+P28+4GwOlxMvb7sRS4fP8+RaTsqMEqIiIiIiIiIiUS1asXoW3aAFCQnMypN94wOVHZuOeSBnQ8JwaA1NO5HNrXiaYxTQHYe3ovCdsTzIwnIuWMGqwiIiIiIiIiUiKGxULchCchoPAt9OmvvkbBoUMmpyo9i8Xgud7nExEcCMCH247SI+5RAi2F47d2vcX249tNTCgi5YkarCIiIiIiIiJSYiFNmhAzYAAAnvx8jj71FB6Px+RUpVc7Oownr2/uHb+8Ips7mt0PgNvjZuzaseQ6c82KJyLliBqsIiIiIiIiIlIqsYMHE1i9OgA5360ha2WiyYnKxs1ta3F188L7OpVTwI8729AytiUAKbYUXtr6kpnxRKScUINVREREREREREolILwS1UeP9o6PTZmCKzvHxERlwzAMptzUktjwYAC+2XOSiyMHExxQOF6wewE/HP3BzIgiUg6owSoiIiIiIiIipRbRrSuVLrsUAOexY6TPmmVyorJRJTyY6be09I5nJ9oY0ORB73jc2nHkOHy/mSwiJacGq4iIiIiIiIiUmmEYxI0bhxFcOLvz1DvvkPfLLyanKhudm1bn1gvrAGAvcPHd5qa0q9YOgNTsVGZsnmFmPBExmRqsIiIiIiIiIlImgurUIfbBBwoHLhdHn5yAx+02N1QZGXvtedSNCQNgS0omTQPvJTQwFIClSUtZm7rWzHgiYiI1WEVERERERESkzMTccw9BDRoAkLt9O6eXLTM5UdmoFBzI833Ox2IUjt/41kZ8o0Hex8evG4+twGZSOhExkxqs5cTBgwfp378/TZs2JTIykvDwcFq0aMGkSZPIysoyO56IiIiIiIhIkViCgoh7crx3fOK5GTgzMkxMVHYuqB/Dg5c3BMDh8vD5unp0iOsIwHH7caZtmmZmPBExSblssO7du5e77rrL7Bhn1bFjxzh8+DA33XQTU6dOZcaMGVx00UVMnjyZK6+8EofDYXZEERERERERkSKp1LEjkdddB4ArM5Pjzz5ncqKyM/SqczmvRiQAvx7LoVr+AMKt4QB8su8Tvjn4jZnxRMQE5arBunv3bvr370+zZs14++23zY5zVrVv355vv/2WZ555hoEDB/LAAw8wd+5cnn76abZs2UJiYqLZEUVERERERESKrPoTj2OJiAAg84MPsG/ZYnKishEUaGFm39YEBRS2VN5dn8Ut9f+3VMDE9RPJyPOPGbsiUjTlosG6Y8cO+vTpQ8uWLXn33XdxuVxmRyo3Gvy2bk2Gn7ydQkRERERERCqGwKpVqTr0Ee/46ISJePzk3ZlN4iIYcXUTADweWPZdDTrVvBSAk3kneXrj02bGE5GzLLAsniQ7O5s1a9Zw4MABMjMziYiIoEWLFlx66aUEBAT843U//vgjEyZM4NNPP8Xj8eDxeDCMwtWiQ0NDyyKaz8nLyyM7O5vc3Fx++uknRo8eTUhICJdddpnZ0URERERERESKJbpfPzI//Ii8nTvJ//VXTr39NlXuucfsWGXinksasGrPMTbsP0Xa6TzanupDVPBPZOZn8mXyl1xV9yq6N+hudkwROQtKNYP19OnTDBo0iNjYWK677jqGDBnC2LFjeeSRR+jSpQu1atXijTfe+Mt1R44coX///rRr145PPvkEt9vtfSwsLIzhw4ezf//+Euey2+0sX76cyZMn06tXL+rVq4dhGBiGwYQJE4r0HFlZWUyYMIGWLVsSHh5OVFQU7du3Z8aMGRQUFJQ42395/fXXqVq1KnXr1uW6667DYrHw8ccfU6dOnTP2miIiIiIiIiJnghEQQNyTT8Jvk6lOzErAkZZmcqqyYbEYPNf7fCKCC+eufbYth+tq/m+pgMkbJ5Oem25WPBE5i0o8g/XYsWN07tyZPXv24PF4ALyzTwE8Hg/Hjx/n/vvv58CBA0yePBmATz/9lLvvvptTp079acZqREQEgwcPZtiwYVSpUqU098SmTZvo0aNHia9PSUnhiiuuIDk5GShs+ubn57N582Y2b97MwoULWbVqFdHR0X+51uPxkJ+fX6TXsVgsBAUF/enYjTfeSNOmTcnMzGTdunWsXr0am81W4nsRERERERERMVNoyxZE33orGYsW4cnN5eiUKdSZNcvsWGWidnQYT17fnOFLfwRg8eoqXHZRF75LXUVmfiYT10/kpStf+lO/RET8T4lnsN57773s3r0b+F9j9fe3+f+x4erxeHjmmWdYu3Yty5Yto1evXpw6dcr7PNHR0UycOJGUlBQmT55c6ubqH5+3S5cujBgxgnfffZe4uLgiXed0OunZsyfJycnUqFGDxMREcnJysNvtvPfee0RERLBt2zb69+//t9enpKQQGhpapI+2bdv+5fratWtz1VVXcfPNNzNjxgyeeOIJevfuzVdffVWqfw8RERERERERs1Qd+ggBsbEAZH+1iqxvvjE5Udm5uW0trm5eHYCMHAdZh3sSExIDwLeHvuXT/Z+amE5EzoYSzWDdunUrn3/+ubeBWqdOHYYNG8Yll1xCdHQ0J0+eZPXq1bz00kukpqYCMGHCBLZv3+7dwCosLIzHH3+cRx99lPDw8LK7I+DSSy/9UxMXYOTIkUW6dv78+ezYsQOAZcuWcdFFFwGFs0379u2L2+0mPj6eL774glWrVtGlS5c/XR8bG8u8efOK9Fp/NwP2/+vVqxchISHMmzePq666qkjPKyIiIiIiIlKeBERGUv2JJ0gbMQKAY5OfplLHjlj8YP8VwzCYclNLtqScJj07n+/25HFn14EsO1z4Tt6pG6dyYdyFxFUq2sQvEfE9JWqwLlq0yPt5q1at+Oabb/7ULGzYsCEXXnghd999N1deeSW7du3i66+/9i4J0LZtW5YuXUr9+vVLfQN/59821vov8+fPB+DKK6/0Nlf/qF+/fowZM4YDBw7w9ttv/6XBGh4ezp133lni1///nE4nDoeDjIyMMntOERERERERkbMt8rprOf3BMuzrN+BITSX9lVep9ugws2OViSrhwUy7uSX3zN8MwJLVUVx1WXe+SV1BliOLJ9c9yatXvaqlAkT8VImWCNi0aZP381deeeUfZ2JWqVKF2bNne5cMAGjQoAHffPPNGWuulobdbmft2rUAXHPNNX97jmEYdO9euAvgypUry+y1jx079rfHX3vtNVwuFx06dCiz1xIRERERERE52wzDIG7ceAyrFYCT8+aRv2+fyanKTpdm1bn1wsINqu0FLg792o2qodUAWJe2jvd/fd/MeCJyBpWowbp3714A4uLi/naW5x9dcsklxMXFeWevPv7442W+JEBZ2b17N263G4AWLVr843m/P3b06NG/LEVQUk888QQXXnghY8aMYc6cOTz//PPccMMNDB06lCZNmvDII4+UyeuIiIiIiIiImCX4nAbE3HtP4cDh4OjESX+alOXrxl57HnVjwgDYllLAhREPeB979odnOZx12KxoInIGlWiJgMzMTAzDoFGjRkU6v3Hjxhw9ehSAzp07l+Qlz4q0tDTv57Vq1frH8/74WFpaGjExMaV+7V69enHy5Enmz5/PiRMnCAwMpFGjRowdO5bhw4cTGRn5j9fm5+eTn5/vHdtsNgAcDgcOh6PU2cqb3+/JH+9NxF+pbkV8i2pWxLeoZsXXRN19N5mffobz8GHsmzZx6sMPiezZ0+xYZSLIAtN7NSf+jR9we2DZ9+Fcc/l1fHPkM3KduYz9fiyvdXkNl7NwfxrVrUj5VZz6LFGDNTc3F8MwqFSpUpHODwsL835et27dkrzkWZGVleX9/I+Z/78/PvbHa0rj+uuv5/rrry/Rtc888wwTJ078y/GVK1f+6334usTERLMjiEgxqW5FfItqVsS3qGbFl4R17Urt3zaITnt6Cuvy83H70d+vnWta+CrVgsPlYeOGC4iq/z2ZntNsOb6F8R+N5+LgiwHVrUh5Zrfbi3xuiRqspREUFHS2X9LvjRo1ikcffdQ7ttls1KlTh27duv3rzFdf5XA4SExMpGvXrlh/W7tHRMo31a2Ib1HNivgW1az4pB49OHL4EDmJXxGYk0Pb3bupNm6c2anKzFVON7e8tpHdR7M4Zg+hZ/hgvs2aDMDXBV9z1+V38cuGX1S3IuXY7+8QL4qz3mAtzyIiIryf/1uX+o+P/fEaswQHBxMcHPyX41ar1a+/Ufv7/Yn4I9WtiG9RzYr4FtWs+JoaY8awf+063HY7tqXvE3PLLYS2amV2rDJhtcIL/drQ8+XvKXC5+eyHcK7v3Iuv0z4gz5XHpB8m0dvTW3UrUo4VpzZLtMmVv6pZs6b389TU1H8874+P/fEaERERERERESkaa1wcsUOGFA48Ho5MmIDH6TQ3VBlqEhfBiKubAODxwA9bO1I7vA4AO07u4Pv8782MJyJlqFQzWPfu3cukSZOKdN7vinL+78aPH1+iXCXVrFkzLBYLbrebnTt3cs011/zteTt37gQgLi6uTDa4EhEREREREamIYgb0J/Ojj8j/5Rfyf97NqQULqHLnnWbHKjP3XNKAr3YfY+OBU6RluGlWcBdpxmTcHjer8laRlJFE82rNzY4pIqVUqgbrvn37/nZzpb9jGAZAkc+Hs99gDQsLo1OnTqxZs4YVK1YwYsSIv5zj8Xj48ssvAejWrdtZzVdcDofDL3ck1C6pIr5HdSviW1SzIr5FNSu+LnbsGFIH3A7A8edmEHjuuYS1b29yqrIzrVdzrp21jpx8F6t+DOPay3vx3fH3ceFi7LqxvNP9HYID/rrsn4iYqzg/V0u9BqvH4/nPc35vrhb1/P9/zdl0xx13sGbNGr755hs2btxIhw4d/vT40qVL2b9/PwC33367GRH/UUJCAgkJCbhcLgBWrlxJmB/twvj/abdFEd+juhXxLapZEd+imhVfVvWSS4j+/ntwOjk0eAgHBw3EERtrdqwyc2Ntg4X7AgD4dt35VG+8hhOeY+zN3Mvwj4ZzTejfv4NWRMzzb/sz/X+Gp6gdzz+oX7/+WWmAHjhwoMTXZmRkeBuNAG3btuXQoUOMGDGCxx9/3Hs8JCSE8PBw79jpdNK2bVt27NhBrVq1mD9/Pl26dMHtdrNs2TLuvfdebDYb11xzDV988UWJ851JNpuNqKgo0tPTiYyMNDtOmdMuqSK+R3Ur4ltUsyK+RTUr/sDjdHJk8BDsa9cCYK1fn9oLFhAQ5R9/03o8Hga9+yOJu48D0KFxLr8ETsaFCwODV7u8Svvq/jNrV8Qf2Gw2YmNjyczM/M/+WokarL6gfv36pKSk/Od5d9xxB2+99dafjiUnJ3PllVeSnJwMFC4d4Ha7ycvLA6BNmzasWrWK6Ojoso5dJn5vsBblC8AXORwOvvjiC3r06KFfIEV8hOpWxLeoZkV8i2pW/IUrK4uU+Hjyfy3cxyXsoo7UnTMHw0++rk9m53P1C2tIz84HoH3j1ewJXA5AXKU4ll2/jMgg//sbXsRXFae/ZjlLmXxK/fr1+emnnxg/fjwtWrTAMAysVivt2rXjueeeY8OGDeW2uSoiIiIiIiLiiwIiIqj9yisE/Pb3tn39Bo5OfrrISw2Wd1XCg5l2c0vv+Md9l9Aipi0AR3OOMmXjFLOiiUgp+W2DNTk5GY/H858f/3/26u8iIiKYOHEiO3bsIDs7G5vNxubNm3nssccICgo6uzcjIiIiIiIiUgEE1a5N7YRZ3lmrpxcvJuOdd0xOVXa6NKvOrRfWAaDAHUDmwV6EWyMA+Hz/56w4sMLMeCJSQn7bYBURERERERER3xPWti01np7sHR+bOo3s1atNTFS2xl57HvWrFG5I/fOhQNpUusv72KQNkziac9SsaCJSQoFmB5Azx+Fw4HA4zI5R5n6/J3+8NxF/pboV8S2qWRHfopoVfxR2zTVE/7qXjLlzwe3m8KOPUfvt+QSfe67Z0UotyALTbmzGrW9uxu0xWLGhBpd3uoLNJ78lqyCLMWvGMLvzbCyG5sSJmKk4P1dLtMnVd999B0BMTAwtWrQo7uX/au7cuezevRvDMJgxY0aZPre/S0hIICEhAZfLRVJSEosWLSIsLMzsWCIiIiIiIiLF53ZTY9G7ROzYAYAjujIHBw/GFR5ucrCykZhq8NnBAAAqh9gJO+cFsjw2AHqE9uDi4IvNjCdS4dntduLj44u0yVWJGqwWiwXDMLj66qv54osv/vXczp07A3DhhRcyderU/3zua665hi+//BLDMHC5XMWNJvxvl7P09PT//ALwRQ6Hg8TERLp27apdUkV8hOpWxLeoZkV8i2pW/Jk7N5fUO+8i/+efAQg5/3xqvvE6luBgk5OVjsPh4MuViSxMq8Lmg5kAXNz8FDvc0wEIsgSxsPtCGlZuaGZMkQrNZrMRGxtbpAbrGV8i4Ntvv8UwDEJCQs70S8n/Y7Va/foXLH+/PxF/pLoV8S2qWRHfopoVv2S1UueVV0ju0wfnsWPk/fgj6RMmUvPZ6RiGYXa6UrEYMKN3K3omrMeW52Tdrhi6XXoj69M/osBdwLgN41jUYxHWANW1iBmK8zNVC3qIiIiIiIiISLllrV6N2rMTMEJDAbB99hknX33V5FRlo2blUKb0aukdr/uhA3XDGwCw59QeZm2fZVY0ESkGNVhFREREREREpFwLbd6cWs9Oh99mrZ548SVsy5ebnKpsXNeqJje3rQ1Adp4BJ24j0FL4huN5O+ex5dgWM+OJSBGowSoiIiIiIiIi5V7EVVdR9dFh3nHayFHk/rYBlq+bcP151I0p3KR6V3I4bcL7AeDBw+g1o8kuyDYznoj8BzVYRURERERERMQnVLn3XqJuugkAT34+hwYOxHHkiMmpSi8ixMrMvq0JsBTO0F39Q3POjWoFQFpOGs9sesbMeCLyH874JldiHofDgcPhMDtGmfv9nvzx3kT8lepWxLeoZkV8i2pWKprYcWPJT0khb+tWXCfSOfjQQGrPfwtLWJjZ0Yrs7+q2Vc1wBl1xDi99vQ+X2+DI3hsJq7EPuzOHT/Z9wqU1LqVL3S5mRRapcIrzc1UNVj+SkJBAQkICLpcLgJUrVxLmQz9giisxMdHsCCJSTKpbEd+imhXxLapZqUgs111L3eRkgk6domDPHn66627SBvQHi2+9Uff/1219DzSICOBAlkFaehjnhlyDPeJ9AMavHU/6T+lEWCLMiCpS4djt9iKfqwarHxk0aBCDBg3CZrMRFRVFt27diIyMNDtWmXM4HCQmJtK1a1esVqvZcUSkCFS3Ir5FNSviW1SzUlEVtGvH4f4DcGdlEf7zz1yY9Cuxf1ijtTz7t7ptc3EuPRPWk53vJOlwOzp0OMLPtrXkenJZU2kNL1/xMsZvm32JyJljs9mKfK4arH7MarX69S9Y/n5/Iv5IdSviW1SzIr5FNSsVjbVJE2rNnMmhBx4Al4vT8+YR2qgRlW/uZXa0Ivu7um1QzcrkG1swdPF2wODnHd2IOfcXTuWns+7IOpbtX8atTW81Ja9IRVKcn6m+NXdeREREREREROQ34Zd0ovqY0d7xkQkTyNm0ycREZePGNrW4oXVNALLswVSy3eZ9bMbmGezP3G9WNBH5G2qwioiIiIiIiIjPiomPJ7p//8KBw0HqkIcpSEkxN1QZmHRDC2pVDgXg5/01aB5+DQD5rnxGrRmFw6WN7UTKi1ItEbBjxw7uvvvuMj13x44dpYkkIiIiIiIiIhVM9ZFPUJCcTM733+PKzOTQgw9R/713CYiKMjtaiUWFWpnZtzX95qzH7YHNWy+mYeufSbOn8PPJn3n1p1cZ0maI2TFFhFI2WNPS0pg/f/6/nvP7wstFOVdEREREREREpLiMwEBqzXye5FtvpWDvPgoOHCB12DDqvPYahg+vTXxhgxgGXdmIl7/ei9NlJedwbwKqvIDL4+T1Ha9zaa1LaV2ttdkxRSq8Ui0R4PF4zsiHiIiIiIiIiEhxBEREUOfVVwmIjgYgZ916jj79tM/3GR7u0pjWdSoDcPhYLA0DbwLA7XEzas0ochw5JqYTESjhDNbLLrvMOzNVyi+Hw4HD4X9rsvx+T/54byL+SnUr4ltUsyK+RTUr8j9G9erEvTCT1HvvA4eD0+8tJrB+fSrfdtt/X3wWFbdun7ulBTckrCenwMWWn1rTvN1ODtp3czj7MFM3TmV8h/FnMq5IhVScn6uGx9f/K0e8EhISSEhIwOVykZSUxKJFiwgLCzM7loiIiIiIiMhZFbF1KzUWLwHAYxik3nkn9qZNTE5VOhuPGyzaFwBAWEg6IQ1ewkEBAPFh8ZwXdJ6Z8UT8jt1uJz4+nszMTCIjI//1XDVY/ZDNZiMqKor09PT//ALwRQ6Hg8TERLp27YrVh9fSEalIVLcivkU1K+JbVLMif+/kSy+RMfd1AIxKlaj9ztsEN25scqpCJalbj8fDI4t/YvmuYwA0abSLNOs7AFQOrszSHkupElrljGUWqWhsNhuxsbFFarCWapMrKd+sVqtf/4Ll7/cn4o9UtyK+RTUr4ltUsyJ/Vn3YMJwpB8lauRJPTg5HBw+h/tIlBFYpP03I4tbtMze3YvvhNRzJzOOXvedxfrsO7Ldv5HT+aZ764SlmdZ6lJR1FykhxarNUm1yJiIiIiIiIiJRHhsVCzWlTCWneHABHWhqHBw/BnZ9vcrKSqxwWxPN9WlPYQzX4eUc3IoMKN/X67vB3LE1aamo+kYrKlAar3W7nu+++Y/HixXzyySf8+OOPZsQQERERERERET9mCQ2l9uzZBFavDkDutm0cGTsOX14t8aKGVXjw8oYAOAoqwYk+3see2/wcyZnJJiUTqbjKpMGakZFBYmIi7733Hp999hnJycl/e97p06d58MEHqVq1KldeeSXx8fHcdNNNtG3bltq1azN79myf/iYnIiIiIiIiIuWLtXo1as9OwAgNBcD26aecfO01k1OVzrCrzqVlrSgAUtMaUM/aBYBcZy6jvx+N0+00M55IhVOqBmtaWhp9+vShevXqdO/endtuu40bbriBhg0bcskll/xpZurBgwe54IILmDt3Lrm5uXg8nj99pKWlMWTIEPr164fL5Sr1jYmIiIiIiIiIAIQ2b07N6dO84xMvvIhtxQoTE5VOUKCFF/q1JtQaAMDOHZcTG1wLgB3pO5j701wz44lUOCVusCYnJ3PRRRexbNkynE6nd+bp7w3TdevWcemll7Jjxw48Hg+9e/dm//79//h8hmHg8Xh4//33mTJlSkljiYiIiIiIiIj8RWTXrlR99FHvOG3kKHJ37DAxUek0rBrO+J7nFQ48QWQk34zFKGy4vvbTa/x04icT04lULCVusN51110cOnToT8f+/9v7s7OzGTZsGB9++CE//PADhmEQHh7Oww8/zJIlS1i5ciWLFy9m0KBBhIWFeZusU6ZMIT09vaTRRERERERERET+osp99xJ1440AePLyODxwEI6jR80NVQr92tfh6uaF68uePl2Tqq4eALg8LkZ/Pxq7w25mPJEKI7AkF61evZrVq1d7G6JXXHEFQ4cOpWnTphQUFLBu3TqmTZvGgQMH+Oabb7xv+a9duzarV6+mfv36f3q+3r1788gjj3DllVeSmppKQUEBixYt4uGHHy71DVZkDocDh8Nhdowy9/s9+eO9ifgr1a2Ib1HNivgW1axI8cSOG0v+wYPkbd2K88QJDj74ELXnv4UlLOysZSjLun3q+mZsP3iaY1n57P2lI43O38Oxgl9JsaUwfdN0xlw4ptSvIVIRFac+DU8JdpUaOHAgr776KoZhcMMNN7Bs2TIMw/jTOenp6bRr147Dhw97jy1ZsoSbb775H593yZIl9OvXz/u8H3zwQXGjVWgJCQkkJCTgcrlISkpi0aJFhJ3FHxAiIiIiIiIivsCSk0PdWQkEnToFQHbz80jr3x8sZbIX+Fn3y2mD2bsLlwcIDDpBRMOXcFLYHBpQaQBNrE3MjCfik+x2O/Hx8WRmZhIZGfmv55aowdq+fXu2bNmCYRgkJSXRsGHDvz1v9uzZDB48GIBKlSpx+vRpAgIC/vF5nU4nlStXJjc3lwYNGrB3797iRhPAZrMRFRVFenr6f34B+CKHw0FiYiJdu3bFarWaHUdEikB1K+JbVLMivkU1K1IyBfv2cbj/ANzZ2QBUvvtuYocNPSuvfSbqduqKX3hjbQoANetsIyt8MQBVQqqwpMcSokOiy+R1RCoKm81GbGxskRqsJVoiICWlsGDr16//j81VgG7dugGFG1g1bdr0X5urAIGBgZx33nls3rxZa7CWAavV6te/YPn7/Yn4I9WtiG9RzYr4FtWsSPFYmzal1syZHHrwQXC5OP3mm4Q2akTlXjedvQxlWLePX9OMdfsz2H3ERtqh1jRumcRR5zZO5p1k8g+TefHKF//y7mMR+WfFqc0SzX3PzMzEMAzq1Knzr+f98fGYmJgiPXflypWBwg2yRERERERERETOlPBLL6H66FHe8ZEnn8T+ww8mJiq54MAAXurXmuBAC2Cw9+ceVAqMAuCbQ9/w4d4PzQ0o4sdK1GD9fZHX/1rfMzg42Pv5f81e/f/nlWDlAhERERERERGRYom57Taib7utcOBwcHjwEAoOHjQ3VAk1rh7B2GubAeBxRZB/5H/74EzdNJVDtkNmRRPxa765erOIiIiIiIiISBmpPmoklS65BABXZiaHHnwIl81mcqqS6d+xHl2aVgMgI/1cYj2XApDrzGXU96Nwup1mxhPxS2qwioiIiIiIiEiFZgQGUmvm8wQ1KtxnpmD/flKHDsPz2zt4fYlhGEy7pRWx4YXvKj6QdBVR1jgAfjzxI2/ufNPMeCJ+SQ1WEREREREREanwAiIiqPPKKwRERwOQs24dR6dM8cklDGPDg3mud6vCgTuY9P29sPzWAnpl+yvsSt9lYjoR/6MGq4iIiIiIiIgIEFSnDrVnvYzx2+7hp999j4wFC01OVTJXNKnGnRfXByAvuy6VcrsB4PQ4GblmJLnOXBPTifiXwNJcvGnTJjp37lym5/7000+liSQiIiIiIiIiUmJh7doR99QkjowcBcCxZ54hqF5dwi+7zORkxTfymqas33eSX45lkZZ8KXVbJJHh2k+yLZmZW2YyusNosyOK+IVSNVgzMjJYvXr1v55jGEaRzxURERERERERMVvlG2+kYP8BTs6ZA243qcMepd67iwg591yzoxVLiDWAF29tzfWz1lLghMNJN1K5cQIOdz7v7nmXy2tfTqdancyOKeLzSrxEgMfjOWMfIiIiIiIiIiJmqjr0ESK6dgXAnZPD4YcG4jx50uRUxdc0LpJR1zQFwF1QDc/J67yPjVs7jtN5p01KJuI/SjSD9Y477ijrHHIGOBwOHD644+F/+f2e/PHeRPyV6lbEt6hmRXyLalbkzKk6+SkKDh8mf/duHKmpHBo0mJqvz8USHFyq5z3bdXtb+1p8s+cY3/16koyjF1C78i9kGjs5kXuCCesmMP2S6d53IItIoeLUp+HRlFG/kZCQQEJCAi6Xi6SkJBYtWkRYWJjZsURERERERER8VmBmJnVnJRBoswFga9OGo337gI81JG0FMPXHAHKcBkagjehGM3EYhRtd9QrrRdugtiYnFClf7HY78fHxZGZmEhkZ+a/nqsHqh2w2G1FRUaSnp//nF4AvcjgcJCYm0rVrV6y/7ewoIuWb6lbEt6hmRXyLalbkzMvb9TOpd96JJy8PgJiHhxBz330lfj6z6nbVnuM8uHA7AKGVdxFY4x0AKgVWYnGPxdQMr3nWsoiUdzabjdjY2CI1WEu1yZWUb1ar1a9/wfL3+xPxR6pbEd+imhXxLapZkTPH2vp8ak6fRurDjwBw6qWXCT2nIZHdry7d857luu3eshb9O55iwYaD5J5uTlyVjuQEbSDHmcP4DeN58+o3CbAEnLU8IuVZcWqzxJtciYiIiIiIiIhUFJHdulF12DDvOG3kSHJ37DQxUcmM6XEejaqFA3D0QHcqWaoCsPX4Vt7a9ZaJyUR8lxqsIiIiIiIiIiJFUOX++4i64QYAPHl5HB44EMfRoyanKp7QoABe7Ncaa4AB7hBOHOiFQeF6srO2z2L3yd0mJxTxPWqwioiIiIiIiIgUgWEYxD01idB27QBwnjjBoYEDcdvtJicrnuY1o3j86qYAuOwNCMzqDIDT7WTUmlHkOfPMjCfic9RgFREREREREREpIktQELVnvYy1dm0A8n/eTerjj+Nxu01OVjz3XNKATo2qAHDq8JVUoi4A+zL38eLWF82MJuJz1GAVERERERERESmGwOho6rz6CpbwwrVMs79axYmZL5gbqpgsFoMZvVtTOcwKBHJ8380EGIWb+izYvYD1aevNDSjiQ9RgFREREREREREppuBGjag1cyZYClsrJ+fO5fQHH5qcqnjiokKY2qsVAO6C6jhOXON9bOzasWTmZ5oVTcSnqMEqIiIiIiIiIlIC4ZdeQvUxo73jI08+iX3zZhMTFV/3FnH0a18HgJwTHQl1NgHguP04kzdMxuPxmBlPxCeowSoiIiIiIiIiUkIxt91GdHx84cDh4PDgIRQcPGhuqGIa3/M8zomtBFg4caAXQUYlAFYkr+CLA1+YG07EB6jBKiIiIiIiIiJSCtVHj6JSp04AuE6f5tBDA3HZbCanKrqwoEBe6NeaQIuBxxmF7fD13see3vA0R7KPmJhOpPxTg1VEREREREREpBSMwEBqvTCToIYNASjYt4/UocPwOJ0mJyu6VrUr82i3cwFw2M4n0N4OgCxHFmPXjsXtcZsZT6RcU4NVRERERERERKSUAiIiqPPqKwRUrgxAzrp1HJsyxdxQxfTAZQ3p0CAGgIxD1xFM4eebjm7inZ/fMTOaSLmmBquIiIiIiIiISBkIqlOH2rNeBqsVgIxF73JqwUKTUxVdgMVgZt/WRIYEgjuUjJSbMTAAeHHri/xy6heTE4qUT2qwioiIiIiIiIiUkbALLqDGpEne8bEpU8hes8bERMVTs3Ioz/RqBYDL3hD36csAcLgdjPp+FAWuAjPjiZRLgWYHkDPH4XDgcDjMjlHmfr8nf7w3EX+luhXxLapZEd+imhUpfypddy2V9+7l9BtvgNtN6rBHqfXO2wQ3agSU/7rt1iyWXm1q8sG2NLKPdqVKxF4KAlL5NeNXXtjyAsPaDDM7osgZV5z6NDwej+cMZpGzKCEhgYSEBFwuF0lJSSxatIiwsDCzY4mIiIiIiIhUPG43NRYsJGLXLgAKYmI4NGggrvBwk4MVTZ4Lpv8YwMl8A0vwEcIbzMJjuDAwuKvSXZxjPcfsiCJnlN1uJz4+nszMTCIjI//1XDVY/ZDNZiMqKor09PT//ALwRQ6Hg8TERLp27Yr1t3VtRKR8U92K+BbVrIhvUc2KlF9uu53UO+8if/duAELatKHW63NxGoZP1O22Q6e59fUfcLk9BFX5juBqXwAQFxbH4h6LiQiKMDmhyJljs9mIjY0tUoNVSwT4MavVWq6/UZeWv9+fiD9S3Yr4FtWsiG9RzYqUQ1FR1Hn1FZJ798F5/Dh527aRPmkSsU89BZT/ur3wnKo80qUxzycmUXDyEsKiknAF7+Wo/SjTt05n6qVTzY4ocsYUpza1yZWIiIiIiIiIyBlirV6d2rNnY4SEAJD58SdkvPGGyamKbuAVDbmgXjRgIfPgLQRSuBTh5/s/Z8WBFeaGEykn1GAVERERERERETmDQls0p+b0ad7xqRdfInzHDhMTFV1ggIWZfVsTERyIx1mZrNSe3see2vAUx3KOmZhOpHxQg1VERERERERE5AyL7NaNqsOGecdxi5fgPHrUxERFVycmjMk3tQDAaWsN2ecDYCuwMXbtWNwet4npRMynBquIiIiIiIiIyFlQ5f77iLy+cAaoxeHg1Kuvmpyo6G5oXYsbW9cEDLJSbyDQUxmADUc2sGj3IlOziZhNDVYRERERERERkbPAMAyqjxqFJTwcANuHH5G/b5/JqYpu0o0tqFU5FNxh2A7e7D0+c8tM9p32nfsQKWtqsIqIiIiIiIiInCWB0dFUvufuwoHbzfGZM80NVAyRIVZe6NcaiwEue2McpzoBUOAuYOSakThcDpMTiphDDVYRERERERERkbOo8m234YyIACD7q1XYt24zOVHRta8fw+ArGwGQd7w7Ac44APac2kPC9gQzo4mYRg1WEREREREREZGzyBIaysmuXb3j4zNm4PF4TExUPA93aUybupXBY8V2sDcGAQC8ufNNthzbYm44EROowSoiIiIiIiIicpZlXtAOa/36AORu2UL2N9+amqc4AgMsvNC3NZWCAnDn1yLveGGz2IOH0WtGk12QbXJCkbNLDVYRERERERERkbMtIIAqQx/xDo8/PwOPy2VioOKpV6USE29oAUDBycsgrwEAaTlpTN001cxoImedGqwiIiIiIiIiIiao1LkzoeefD0DB3n1kfvSxyYmK5+a2tbi2VQ3AQvbh3lg8IQB8vO9jvkr5ytxwImeRGqwiIiIiIiIiIiYwDINqwx/zjk+8/DLuvDwTExWPYRhMubElNaJC8DhiyDlynfexiesncsJ+wsR0ImePGqwiIiIiIiIiIiYJa9+e8CuuAMB59CgZCxeaG6iYosKszOzbGsMAZ2Y7XFmFywaczj/NuHXjfGrzLpGSUoNVRERERERERMREVR8dBoYBQPprc3BlZpqcqHg6nlOFhy5vCBjkHrkJiysSgLWpa3nvl/fMDSdyFqjBKiIiIiIiIiJiopBzzyXqxhsBcNtsnJw719xAJTD0qnNpVTsKj6sS2ak3e48/v/l59mfuNzGZyJmnBquIiIiIiIiIiMmqDhmMERQEwKm338Fx5IjJiYonKNDCC31bE2oNwJXThIJTHQHIc+Uxes1oHG6HyQlFzhw1WEVERERERERETGatWZPo/v0B8BQUcGLWLJMTFd85VcN5sud5AOQf7wGOqgDsOrmLd3e/a2Y0kTNKDVYRERERERERkXIg9v77sEREAJD54Ufk//qryYmKr2/7OlzdvDp4gsg53Md7/M2db5LrzDUxmciZowariIiIiIiIiEg5EFC5MlXuv69w4HZzfOYLpuYpCcMwmNqrFdUjg3Hn1cFhawHAybyTvJ/0vsnpRM4MNVhFRERERERERMqJmAEDCKxeHYDsr7/GvmWLyYmKL7pSEM/3aQ1AQXoX7/E3d75JnjPPpFQiZ06g2QHkzHE4HDgc/reI9O/35I/3JuKvVLcivkU1K+JbVLMivudf6zYggJiBD3H8yQkAHHv2OWq9PR/DMM5iwtK7sF4U93SqxxtrwWFrjjVyF+m56Szds5R+TfqZHU/kPxXn56rh8Xg8ZzCLnEUJCQkkJCTgcrlISkpi0aJFhIWFmR1LRERERERERIrD5aLeCy8SfPw4AKm3DyCneXOTQxWf0w1TtgeQwREqnfMSABFGBI9GPorVsJqcTuTf2e124uPjyczMJDIy8l/PVYPVD9lsNqKiokhPT//PLwBf5HA4SExMpGvXrlit+oYs4gtUtyK+RTUr4ltUsyK+pyh1m/31Nxx95BEArOecQ91l72ME+t4bkZfvPMrDi38ipPbbWCN+BuCJC56g77l9TU4m8u9sNhuxsbFFarD6XmVKkVmtVr/+Bcvf70/EH6luRXyLalbEt6hmRXzPv9Vt5W5dyWzThtxt23Ds34/988+pfMstZzlh6fVsXZt56w/y4/HO3gbrWz+/RZ+mfQgKCDI5ncg/K87PVG1yJSIiIiIiIiJSzhiGQbXhj3nHJ16ehTs318REJWMYBmOvbYY7rzbOrKYAHLMf46O9H5kbTKQMqcEqIiIiIiIiIlIOhbVrR3jnzgA4jx3j1IIFJicqmXb1Yri2ZQ3y06/yHnt9x+s4XNqcT/yDGqwiIiIiIiIiIuVUtWFDwVLYvjk5Zy6u06dNzVNSj3dvQoCjDs7sJgAcyTnCR/s+MjeUSBlRg1VEREREREREpJwKbtyYqJtuBMCdlUX6nLnmBiqhelUqccdF9ck/0cV77PWfXsfh1ixW8X1qsIqIiIiIiIiIlGNVBw/GCA4GIGPBAhxpaSYnKpnBnRsRYTTEmX0uAGk5aXy671OTU4mUnhqsIiIiIiIiIiLlmLVGDWIG9AfAU1DAiZdnmZyoZCqHBfFwl8bkp/9vFuucn+ZoFqv4PDVYRURERERERETKuSr33YclMhKAzI8+Iu+XJJMTlcyAjvWoE9YMZ3ZjAFKzU/ls32cmpxIpHTVYRURERERERETKuYCoKGIfuL9w4PFwYuZMcwOVUFCghZHdm1Lwp1msc3G6nSamEikdNVhFRERERERERHxA9G23ERgXB0D2t99i37zZ5EQl071FHK2rtcGZ0xCAw9mH+OLAFyanEik5NVhFRERERERERHyAJSSEqkOGeMfHn5uBx+MxMVHJGIbBmGubUXDif7NYX93+mmaxis9Sg1VERERERERExEdE3XgDwY0bAZC7fTvZq1aZnKhk2taN5prGnXDmnAPAoeyDLD+w3ORUIiWjBquIiIiIiIiIiI8wAgKoOuxR7/j48zPxOH1z5ucT3ZviPtXVO569/TVcbpeJiURKRg1WEREREREREREfEn7lFYS2awdAwf79nP7wQ3MDlVCdmDBub9MZp70+AIezU/gy+UtzQ4mUgBqsIiIiIiIiIiI+xDAMqj32mHec/vIs3Lm5JiYqucFXNiYo62rv+KUtr2gWq/gcNVhFRERERERERHxMWNs2hHcp3CTKefw4p95ZYHKikokKs/LIxT1w2usBkGpPZmXySpNTiRSPGqwiIiIiIiIiIj6o2rChYCls7ZycOxdnRoa5gUqof8f6ROdf6x0/v3k2bo/bxEQixaMGq4iIiIiIiIiIDwpu1IioXjcB4M7K4uScuSYnKpmgQAvjutyIy14XgKO5yXx5INHkVCJFpwariIiIiIiIiIiPqjp4MEZwMAAZCxbgSE01OVHJdG8RR72AG7zj6RtnaRar+Aw1WEVEREREREREfJQ1Lo6Y2wcA4HE4OPHyLJMTlYxhGEzp3htXbh0A0guS+Wyf1mIV36AGq4iIiIiIiIiID6ty771YoqIAyPz4Y/J+STI5Ucm0qRtNm4g+3vFzmsUqPkINVhERERERERERHxYQFUXs/fcXDjweTjz/vLmBSuGZ7r1x59UGIMOZwrLdX5qcSOS/qcEqIiIiIiIiIuLjovvfRmCNGgBkr15NzqZNJicqmbpVKnFF9Xjv+PnNCXg8HhMTifw3NVhFRERERERERHycJTiYqkOGeMfHZ8zw2cbk0936Qn7hLNZsTwpvbf/C5EQi/04NVhERERERERERPxB1w/UEN24EQN6PP5GVmGhyopKpHBbEjfXv8I5nb38Ft1trsUr5pQariIiIiIiIiIgfMAICqProo97xiedn4nE6TUxUcuM69ybAWQuAPEsKL63/1OREIv9MDdZyas+ePQQHB2MYBitWrDA7joiIiIiIiIj4gPArriD0gnYAFCQnc3rZByYnKpmgwAD6N7nHO56/ey4FTpeJiUT+mRqs5dRDDz2E1Wo1O4aIiIiIiIiI+BDDMKj22GPecfqsWbjtdhMTldywi3sR7C6cxeq0pvD01x+anEjk76nBWg698847bNy4keHDh5sdRURERERERER8TFibNkR0vQoA54kTnHr7HZMTlUyAJYAHWj3gHX+Q/Ban7QUmJhL5e2qwljOnT59m+PDhjBw5kvr165sdR0RERERERER8UNVhw8BS2PY5+frrODMyTE5UMve0vYFKRuEsVoJTGL9Ss1il/FGDtZwZOXIk4eHhPP7442ZHEREREREREREfFXzOOVS++WYA3NnZnHz1NZMTlYzFsDCk7UPe8aqjCzh4MsfERCJ/5ZcNVrvdzvLly5k8eTK9evWiXr16GIaBYRhMmDChSM+RlZXFhAkTaNmyJeHh4URFRdG+fXtmzJhBQcGZmY6+ceNG5s6dy4svvkhISMgZeQ0RERERERERqRhiBw/C+K2/kLFoEQWHU01OVDL9zruOqIDCWayW0GRGr9AsVilfAs0OcCZs2rSJHj16lPj6lJQUrrjiCpKTkwEICwsjPz+fzZs3s3nzZhYuXMiqVauIjo7+y7Uej4f8/PwivY7FYiEoKAgAl8vFQw89RI8ePbjuuutKnF1EREREREREBMBavToxt9/OyTlz8DgcpL/8EjWnTTM7VrEFWAIY1n4QEzaMBmCLbTFbU3rQtl6MyclECvnlDFaA6OhounTpwogRI3j33XeJi4sr0nVOp5OePXuSnJxMjRo1SExMJCcnB7vdznvvvUdERATbtm2jf//+f3t9SkoKoaGhRfpo27at97pZs2axe/duXnzxxTK5fxERERERERGRKvfeQ0BUFACZn3xK3p49JicqmRsb9yDGWjiLNTAsmbFffozH4zE5lUghv5zBeumll3Lq1Kk/HRs5cmSRrp0/fz47duwAYNmyZVx00UVA4WzTvn374na7iY+P54svvmDVqlV06dLlT9fHxsYyb968Ir3W7zNgMzMzGTduHLfffjsWi8U7czY9PR2AY8eOkZycTJ06dQgICCjSc4uIiIiIiIiIBERGUuXBBzk+bRp4PBx//nnqzpljdqxiK5zFOpBx68YAcMD5EV/u6k73FjVMTibipw3W0jQh58+fD8CVV17pba7+Ub9+/RgzZgwHDhzg7bff/kuDNTw8nDvvvLNYr5mRkUFWVhZz5sxhzt98k/v9+Q4dOkTt2rWL9dwiIiIiIiIiUrFFx9/KqXfexpl2hJzv1vB/7N13eFPVG8Dxb9KmezAKLXtvyl6CCshGloAgIMsNiIos8aeCoogTROpA2UOQKRvKko3svaFAaQuUjnSlTZP7+6M2pnQlHaQp7+d5+jS3955z35vcc5O+OfecuMNHcG/R3NZhWa1bla7MOv4TDxLv4uh+g6k7NvJczVdxciy0N2gLOyFnoJn4+HgOHDgAQJcuXTLcRqVS0blzZwC2b9+eJ/stWbIka9euTfczevRoAD755BPWrl2Lj49PnuxPCCGEEEIIIYQQTw61szMl3nnHtHz/u+/s8vZ6R7Uj7zYZYVqOcNrEkvp8e4gAAPNVSURBVMO3bBiRECkKZQ/WnLp48SJGoxGAunXrZrpd6rqwsDAiIiIoVix3gyq7ubnRq1evdH+PiooC4KmnnjIldTOSmJiYZmItrVYLgF6vR6/X5yq2gij1mArjsQlRWEm7FcK+SJsVwr5ImxXC/tii3bp17ozT3HkkXb2K7uxZojZvxqNjx8e2/7zSsVxHfnT9mXsJd3F0v84P+7fRo94QvF01tg5NFDLWtE9JsJoJCQkxPS5Tpkym25mvCwkJyXWCNbe+/PJLPv3003R/3759O25ubjaI6PEIDAy0dQhCCCtJuxXCvkibFcK+SJsVwv487nbr/nQryly9CsDtL6cTlJgIdjjXSyuas4Y1ACR5bmf8/DL0qmi0cVSisImPj7d4W0mwmomJiTE9zioxab7OvExeGzZsmEXjuU6aNIn333/ftKzVailXrhwdO3bEy8sr3+KzFb1eT2BgIB06dECjkW+ohLAH0m6FsC/SZoWwL9JmhbA/tmq3Spcu3D17Dt2xYziFh9MqIQHvfv0e2/7zSgdjBw78dZh7CSE4elzlwO1gPmoxkPLFCm8nM/H4pd4hbglJsBYCzs7OODs7p/u7RqMp1B+wCvvxCVEYSbsVwr5ImxXCvkibFcL+2KLd+o0fR1D/lwCI+PkXivXqhdrd/bHGkFsaNIxs+CaTD04GwKHYDmbsbM7sgY1sHJkoTKxpmzLJlRlPT0/T46y6AZuvMy8jhBBCCCGEEEIIUZC51q+P579jrxrCw4lYtMjGEeVM9yrdKeVeGgBHjytsvnKEE7cjbRyVeFJJgtVM6dKlTY/v3r2b6Xbm68zLCCGEEEIIIYQQQhR0Jd57zzT26sPf55IcEWHbgHJAo9bwRr3XTcvOJXbyxaaLKIpiw6jEk0qGCDBTq1Yt1Go1RqORc+fO0aVLlwy3O3fuHAB+fn42n+AqK3q9vlDOJCqzpAphf6TdCmFfpM0KYV+kzQphf2zdbtXlyuLVuzfalSsxxsVx/6efKDFxok1iyY2u5bvy6+lfCYsPw9HjMidvnmHDqXJ0qetn69BEIWBN+5QEqxk3NzdatWrFvn372Lp1K+PHj0+3jaIobNu2DYCO/3apLygCAgIICAjAYDAAsH379iwn67J3MkuqEPZH2q0Q9kXarBD2RdqsEPbHlu3WoXo1Kmk0qPV6ov5YzskyZUguwJ3IMtNMacZ61gPg7LOTT9eVRR90Ake5Z1vkUlbDhz5KEqyPGDp0KPv27WP37t0cOXKE5s2bp1m/cuVKbty4AcCQIUNsEWKmRo0axahRo9BqtXh7e9OxY0e8vLxsHVaek1lShbA/0m6FsC/SZoWwL9JmhbA/BaXdPrz/gMjffkNlMFDv3Hn8pn9ps1hyqr2hPUc2HOFe/D0cPS8RGX6Xh8XaMbxlBVuHJuycVqu1eNtCm2CNjIw09eQEMBqNQEr2OTw83PR3FxcXPDw8TMtDhw7lhx9+4OzZs/Tp04eFCxfSrl07jEYjq1ev5vXXU8b36NKlC+3atXtMR5MzhX0W0cJ+fEIURtJuhbAv0maFsC/SZoWwP7ZutyXeeB3typUYoqKI3bQJw6uv4FK7ts3iyQmNRsNr/q/xxZEvAHDy2UXAnkr0a1qeIm5ONo5O2DNr2mah7TDdsGFDSpQoYfq5c+cOAN98802av7/99ttpyjk6OrJ+/XoqVqzI3bt3ad++Pe7u7ri7u9OvXz+0Wi0NGzZk6dKltjgsIYQQQgghhBBCiDzh4OmJz4i3TMv3v59hw2hy7oVqL1DStSQAGs8LxBhvMXvXNRtHJZ4khTbBmhsVK1bkzJkzfPLJJ9StWxeVSoVGo6Fx48Z8++23HD58mKJFi9o6TCGEEEIIIYQQQohcKTJgAJrSpQGI27+fuEOHbByR9ZwdnHnF/xXTspPPThYeCuLWwzgbRiWeJIU2wRoUFISiKNn+LFiwIMPynp6efPrpp5w9e5bY2Fi0Wi3Hjh1j7NixODlJF3MhhBBCCCGEEELYP7WTEyXee9e0fP+771EUxYYR5Uzf6n0p4VoCAI3XeQyOIXy99bKNoxJPikI7BqtIGTRbr9fbOow8l3pMhfHYhCispN0KYV+kzQphX6TNCmF/Clq7de3UCae580i6fBnduXNEbdqMR6eOtg7LKmrUDK01lG9PfAukjMW66Wwphlx/QKPyRWwbnLBL1rRPlWKPX0uIDAUEBBAQEIDBYODKlSssW7YMNzc3W4clhBBCCCGEEEKIAs7t8mXKzpsPQFLx4gSNfR8cHGwclXX0ip7vtN8Rq8QCEHfjPcprfHmvrgGVysbBCbsTHx/PwIEDiY6OxsvLK8ttJcFaCGm1Wry9vQkPD8/2BLBHer2ewMBAOnToILOkCmEnpN0KYV+kzQphX6TNCmF/CmK7VRSFkNdeI+GfowCU+Oh/ePfvb+OorLfk4hK+P/k9AHptPXR3B/JDv3p09fezcWTC3mi1Wnx8fCxKsMoQAYWYRqMpMBfq/FDYj0+IwkjarRD2RdqsEPZF2qwQ9qegtVvf8eMJerEfABG//EqxF15A7e5u46is81Ltl1hwcQERuggcPc+idrrHtzuu0rleaZwd7atHrrAta9pmoZ3kSgghhBBCCCGEEEJYztXfH8/OnQEwhIfzcOFCG0dkPVdHV4bXGQ6ASqXg5LOLOxEJLD50y8aRicJMEqxCCCGEEEIIIYQQAoCS771rGns14ve5JEdE2Dgi6/Wr0Y+izkUBcPQ6g9rpPrN2XiUyLsnGkYnCShKsQgghhBBCCCGEEAIAp4oVKdLvRQCM8fGE//yLjSOynpvGjaF1hgL/9WLV6pL5cdc1G0cmCitJsAohhBBCCCGEEEIIkxIjR6JydQUgcvlyku7csXFE1htQcwBFnIsA4Oh1GpXTAxYfDiIoPM62gYlCSSa5KsT0ej16vd7WYeS51GMqjMcmRGEl7VYI+yJtVgj7Im1WCPtT4NttkSIUGTKEyF9/Bb2eezNm4vfVdFtHZRUNGl6u+TKzT89GpVJwLr4bXWg/vtx8gdkDGtg6PGEHrGmfKkVRlHyMRTxGAQEBBAQEYDAYuHLlCsuWLcPNzc3WYQkhhBBCCCGEEMLOqHU6Kn79DY5xKT0+b70zmsQyZWwclXUSlUS+1X5LgpIAiprY6++j6H14p04yVbxsHZ0o6OLj4xk4cCDR0dF4eWV9wkiCtRDSarV4e3sTHh6e7Qlgj/R6PYGBgXTo0AGNRmPrcIQQFpB2K4R9kTYrhH2RNiuE/bGXdhu1ZAnhX30NgGvLlpT51f7GY/393O/8dOYnAPRRjdGFvki9sl6seqM5KpXKxtGJgkyr1eLj42NRglWGCCjENBpNgb5Q51ZhPz4hCiNpt0LYF2mzQtgXabNC2J+C3m6LDxpE9JKl6O/eJeHgQZKOHsW9ZUtbh2WVl+u8zOJLi4lJikHjfZLE8Oc4EwzbLobTvX5pW4cnCjBr2qZMciWEEEIIIYQQQggh0lE7OVHivXdNy/e/+x7FaLRhRNbzdPJkcO3BKQsqI04+uwH4ausldHqDDSMThYkkWIUQQgghhBBCCCFEhryefx7nmjUB0J0/T8zWrTaOyHqDag3CU+MJgJP3SVSaCIIjE1h0KMi2gYlCQxKsQgghhBBCCCGEECJDKrWakmPHmpbvz/wBJSnJhhFZz8vJi0G1B6UsqAw4++wB4Mdd14iIs69jEQWTJFiFEEIIIYQQQgghRKbcn26FW4sWAOhv3yZy5UobR2S9l2u9jIfGAwCnIsdROUYSo0tm1s6rNo5MFAaSYBVCCCGEEEIIIYQQmVKpVJQc+75pOfynnzHExtkwIut5O3szsNZAABQMuJX8G4Alh29x40GsLUMThYCjrQMQ+Uev16PX620dRp5LPabCeGxCFFbSboWwL9JmhbAv0maFsD/22G4da9bEo1MnYrdtw/DwIeHz5lJsxAhbh2WVAdUGsPTCUuKS43D0PorqfhuSk4vw5eaL/DSwga3DEwWMNe1TpSiKko+xiMcoICCAgIAADAYDV65cYdmyZbi5udk6LCGEEEIIIYQQQhQCmvBwKn73PSqjEaOTEzcnjMfg6WnrsKwSmBDI34kpvVeJakFMaC8A3qmTTBUv28UlCp74+HgGDhxIdHQ0Xl5ZnxySYC2EtFot3t7ehIeHZ3sC2CO9Xk9gYCAdOnRAo9HYOhwhhAWk3QphX6TNCmFfpM0KYX/sud0++PwLolesAMB7wABKfDjJxhFZJ1IXSbf13UhITsBB5Uj0lfEoyd7UK+PFyjeao1arbB2iKCC0Wi0+Pj4WJVhliIBCTKPR2N2F2hqF/fiEKIyk3QphX6TNCmFfpM0KYX/ssd2WfHsU2g0bUOLjiV65Ep/hw3AqX97WYVmspKYkA2oOYN65eRiUZHzLHSTsZhfO3NWy9eIDejYoY+sQRQFhTduUSa6EEEIIIYQQQgghhEUcS5Sg+LBhKQvJyTyY+YNN48mJoXWG4uroCkCi60FUjloAvt56GZ3eYMvQhJ2SBKsQQgghhBBCCCGEsFixV4bjUKwYANrNm0k4d97GEVmnmEsxXqrxEgDJip5KVf4B4G5UAgsOBtkwMmGvJMEqhBBCCCGEEEIIISzm4OGBz4gRpuUH339nw2hyZkidIbg4uAAQ7bgXh397sQbsusbD2ERbhibskCRYhRBCCCGEEEIIIYRVivbvh6ZsWQDiDh4i9sABG0dkHR9XH/rV6AdAkjGJOrVPAhCTmMysnVdtGZqwQ5JgFUIIIYQQQgghhBBWUTk5UeK990zL97/7DsVotF1AOTC87nCcHZwBCDHuws01HoClR25z/UGsLUMTdkYSrEIIIYQQQgghhBDCal5du+BcuxYAiRcuot28xcYRWcfH1YcXq78IQKIhkQZ1TwOQbFSYvuWSLUMTdkYSrEIIIYQQQgghhBDCaiq1mpJjx5qWH8yciZKUZMOIrDe87nCc1E4AXE3YRskiKfEHXrjH4RsPbRmasCOOtg5A5B+9Xo9er7d1GHku9ZgK47EJUVhJuxXCvkibFcK+SJsVwv4Upnbr3KwZri1akHD4MPrgYMKX/UGRQQNtHZbFimqK0rtqb5ZfWY7OoKNFndMEHmgKwOcbL7D6zeao1SobRylswZr2qVIURcnHWMRjFBAQQEBAAAaDgStXrrBs2TLc3NxsHZYQQgghhBBCCCEKMefgYCr8OBuAZHd3giaMx+jiYuOoLKc1avlO+x0GDDjhhNOdCYTGegAwuKqBJiUkdfYkio+PZ+DAgURHR+Pl5ZXltpJgLYS0Wi3e3t6Eh4dnewLYI71eT2BgIB06dECj0dg6HCGEBaTdCmFfpM0KYV+kzQphfwpjuw2bMIHYLVsBKPrWmxQfNcrGEVln+tHp/Hn1TwA6lH6JNTsbAFDK24Xt77bCReNgw+iELWi1Wnx8fCxKsMoQAYWYRqMpNBfqjBT24xOiMJJ2K4R9kTYrhH2RNiuE/SlM7dZ3zBhiA3dAcjJRixbjM2gQjiVK2Dosi71e/3XWXl+L3qjnwP31PFPjKfZdTiA0Wsfif4IZ2aaqrUMUj5k1bVMmuRJCCCGEEEIIIYQQueJUvjxF+/cHQImPJ/znn20ckXX83P14oeoLAMQnx1Ol6glSh179afd1HsYm2jA6UdBJglUIIYQQQgghhBBC5JrPyBGo/50LJvLPlSQFBdk2ICu95v8ajuqUm7233llF76bFAIhNTGbmjqu2DE0UcJJgFUIIIYQQQgghhBC55li8OMVeeSVlITmZ+z/8YNuArFTKoxS9qvYCIE4fR8ky/+DulDL26rJ/bnPtfqwNoxMFmSRYhRBCCCGEEEIIIUSeKDZsGA7FiwMQs2UrCWfP2jgi67zm/xqOqpRerOuur2D4M34AGIwK07dctGVoogCTBKsQQgghhBBCCCGEyBMOHu74jBxhWr7/7XcoimLDiKxTxqMMPar2ACBGH4NTsQP4ebkAsOPifQ5eD7dleKKAkgSrEEIIIYQQQgghhMgzRV98EU358gDEHzlC3P4DNo7IOq/5v4aDKmVogOVXlvJ2+7KmddM2X8RotJ+EsXg8JMEqhBBCCCGEEEIIIfKMysmJku+9a1q+/913KEajDSOyTjnPcnSv0h2AmKQYYp32ULuUFwDn7mpZd+quLcMTBZAkWIUQQgghhBBCCCFEnvLs3BmXOnUASLx0ichlf9g4Iuu84f+GqRfr4ouLGNupvGndN9suo9MbbBWaKIAkwSqEEEIIIYQQQggh8pRKrabk+HGm5XtffUX8iRM2jMg65bzK8Xzl5wHQJmm5kbSddjVLAhAarWPu/pu2DE8UMI62DkDkH71ej16vt3UYeS71mArjsQlRWEm7FcK+SJsVwr5ImxXC/jwp7dapcWOKDBlC1KJFoNcT/M67lFuxHMeSJW0dmkVeqfUKG29sxKgYWXh+IbPadmXPlQcYjAo/7b5G7wZ++Hg42zpMkU+saZ8qxZ6mchNZCggIICAgAIPBwJUrV1i2bBlubm62DksIIYQQQgghhBBPKoOBsnPn4nb9BgAJ5ctz5803wNE++vytjFvJaf1pADq6dCQspA0H7qXcEN7K10i/yvYztqywTnx8PAMHDiQ6OhovL68st5UEayGk1Wrx9vYmPDw82xPAHun1egIDA+nQoQMajcbW4QghLCDtVgj7Im1WCPsibVYI+/OktVtDRAR3+r9EclgYAF79XqTkxx/bOCrLBGmD6LupL0bFSBHnIixqt5pus08Ql2jAQa1iw6inqFbSw9Zhinyg1Wrx8fGxKMFqH18XiBzRaDSF+kJd2I9PiMJI2q0Q9kXarBD2RdqsEPbnSWm3Gl9fys6eza2BA1GSktD+uRI3f3+KvviirUPLVrXi1ehcsTObb24mKjGKPfc2MbLNM3yz7TIGo8K3gdeYN6yprcMU+cCatimTXAkhhBBCCCGEEEKIfOVatw5+n31qWr732VQSTp+2YUSWe7Pem6hQAbDg/AIGtvCjlLcLALsu3efAtXBbhicKAEmwCiGEEEIIIYQQQoh8V6RXL4q+/DIAyr+TXiWHF/zkZOUilelUsRMAEboI1t9YzfhONUzrv9h0EaNRRuB8kkmCVQghhBBCCCGEEEI8Fr4TJ+DapDEAyffuEfzeeyhWzNZuK+a9WOefm0+nusWoWyZlXM4LoVrWnLxry/CEjUmCVQghhBBCCCGEEEI8FiqNhrIzZ+Lo6wtAwrHj3PvqaxtHlb2qRavSoUIHAB7qHrLm2mr+17W2af232y6TkGSwVXjCxiTBKoQQQgghhBBCCCEeG0cfH8rO+gHVv5MIRS5ZQtTadbYNygJv1n/T9HjeuXk0rOBO+1opieIwrY7f992wVWjCxiTBKoQQQgghhBBCCCEeK9f69fGb/IlpOWzyZBLOnbdhRNmrXrQ67cu3ByA8IZzVV1fzQZeaOKhThg74+e/r3I/R2TJEYSOSYBVCCCGEEEIIIYQQj12Rvn0p8lJ/AJSkJIJHjyY5IsLGUWXtrfpvmR7POzuPcsU1DGxWHoD4JAMzAq/aKjRhQ5JgFUIIIYQQQgghhBA24ffhh7g2bAhAcmgod8e8j5KcbOOoMlejWA2eK/ccAPcT7rPm6hrea18ND2dHAFYcvc2VezG2DFHYgCRYhRBCCCGEEEIIIYRNqJycKDNzJg4lfACIP3KE+99+Z+OosmY+Fuvcs3PxdFUxsm0VAIwKfLf9sq1CEzYiCVYhhBBCCCGEEEIIYTMa35KU/eEH+HfSq4gFC4jesNHGUWWudvHatCnbBoB78fdYd20dr7SqhK+XMwA7Lt4nPDbRhhGKx00SrEIIIYQQQgghhBDCptwaNcLvfx+alkM//hjdxYs2jChrbzX4byzW38/+joPaSJ9GZQEwGBXWnwqxVWjCBiTBKoQQQgghhBBCCCFsrkj//nj37QOAotMR/PZokiMjbRxVxuoUr8OzZZ8FIDQulHXX19H73wQrwOoTwbYKTdiAo60DEPlHr9ej1+ttHUaeSz2mwnhsQhRW0m6FsC/SZoWwL9JmhbA/0m4zV/yDD9Bdvkzi2XPo794l+P2xlP75J1QODrYOLZ3Xar/G3uC9APx25jfWdXueemW9OBOs5XyIlnN3Iqjh52njKEVOWdM+VYqiKPkYi3iMAgICCAgIwGAwcOXKFZYtW4abm5utwxJCCCGEEEIIIYSwmGNUNOV//BHH2FgAItq0JrxLFxtHlbGFsQu5mnwVgF6uvUiIbMqqmynJ4OdKGelZ0WjL8EQuxMfHM3DgQKKjo/Hy8spyW0mwFkJarRZvb2/Cw8OzPQHskV6vJzAwkA4dOqD5dwBsIUTBJu1WCPsibVYI+yJtVgj7I+02ewnHjnH39TcgORkA32++wbNzJxtHld6Z8DMM2z4MgDLuZZjXbgWtvz2A3qBQwsOJveOexdFBRui0R1qtFh8fH4sSrDJEQCGm0WgK9YW6sB+fEIWRtFsh7Iu0WSHsi7RZIeyPtNvMaZ56iuSJE7n3xRcA3P/kE9yqV8elRnUbR5ZW41KNaVm6JQdDDnI37i5HwnfxXM1ybDt/jwexSfxzW0vr6iVsHabIAWvapqTQhRBCCCGEEEIIIUSBU/TlQXj37AmAkpBA8OjRGKKjbRxVeiPqjzA9/u3sb/RsWMq0vPq4THb1JJAEqxBCCCGEEEIIIYQocFQqFX6fTsGldm0A9Ldvc3f8eBSDwcaRpdWgZAOal2oOwJ2YOyQ4HaWoW0rvx23nw4jRyWRmhZ0kWIUQQgghhBBCCCFEgaR2caHsj7NwKFoUgLi9+3gwe7aNo0rPvBfrr2d+omu9YgAkJhvZcjbMVmGJx0QSrEIIIYQQQgghhBCiwNKUKUOZGd+DOiWN9fDnX9AGBto4qrQa+zamVelWAITGhWL03mFat+qEDBNQ2MkkVyJLRqOR5ORkjEajrUMx0ev1ODo6otPpMBSw2wKEEBmTdiuEfXmS2qxarcbR0RG1WvodCCGEEAWZe4sWlBw/nvtffQVA6MQPcK5cGecqVWwc2X8+aPYBvdf3Rm/Us/XOCiqWqkhQqCf/3IzgTkQ85Yq52TpEkU8kwSoyFB0djVarJT4+vkAlVwEURcHPz487d+6gUqlsHY4QwgLSboWwL09am1Wr1bi5ueHl5YW3t7etwxFCCCFEJooNG4ru3Dm0mzZhjI8neNTbVFz5Jw6enrYODYCK3hV51f9Vfjn9C8lKMk6+ayF0MKBizYm7vNu+mq1DFPlEEqwiDUVRuHfvHpGRkbi5ueHj44OLiwtqtbrA/INlNBqJjY3Fw8NDepsIYSek3QphX56UNqsoCkajEZ1OR2xsLCEhISQkJODr61tgPvcIIYQQ4j8qlYpSn08l8fp1Ei9dIikoiJCJH1B29o+oCshnllfrvsrG6xsJjg0mNPECGu8T6KMbs+ZkMO+0qyqfMQopSbCKNCIjI4mMjMTPz4+i/w4gXdAYjUaSkpJMiV8hRMEn7VYI+/KktVl3d3eKFy9OZGQkYWFhODk5UaxYMVuHJYQQQogMqF1dKfvjLG72fRFjdDSxu3YR/vPPlBg1ytahAeDi6ML/WvyPETtSJr3yKLWVyJha3HoIJ25H0riCfMYojAr/J2ZhMUVRiIqKwtPTs8AmV4UQQggh8kvRokXx9PQkKioKRVFsHY4QQgghMuFUrhxlvvvONOlV+I+zidm928ZR/efpMk/ToUIHAJJVMTiX3AbAquN3bRmWyEeSYBUmycnJJCYmythjQgghhHhieXt7k5iYSHJysq1DEUIIIUQWPJ5uRYkx75mWQ8ZPIPHmTdsF9IgJTSfg5pgyqZWmyD+oXe6w8UwIOn3hnkD0SSUJVmGSOkuwo6OMHCGEEEKIJ1Pq56DUz0VCCCGEKLiKv/Yanp06AWCMjSX47dEYYuNsHFUKP3c/RjYYCYBKpeBSai0xukR2XLxn48hEfpAEq0hHBlwWQgghxJNKPgcJIYQQ9kOlUlF62hc4V6sKQNL164ROmlRghvoZVGsQ1YtWB8DBJQRN0cOsOSHDBBRGkmAVQgghhBBCCCGEEHZJ7e5O2dmzUXt5ARATGMjDOb/ZOKoUjmpHPmrxkWnZucR2/r5+nQcxiTaMSuQHSbAKIYQQQgghhBBCCLvlVKECZb75Gv69E+XBzJnE7ttn46hSNCzZkN7VegOgckhEU2Ijf52SXqyFjSRYhRBCCCGEEEIIIYRd82jdmhLvjE5ZUBTujh1H0u3btg3qX2MajcFTkzKhuMb7NMvO7LRxRCKvSYJVCCGEEEIIIYQQQti94m++iUf7dgAYtVqCR72NMc72k14VcSnC+KZjTcv3NMs4czfchhGJvCYJViGEEEIIIYQQQghh91RqNaWnT8epcmUAEq9eJeSjjwrEpFc9q/akjEstANTO4Xx58GcbRyTykiRYhRAFQps2bVCpVLRp0ybD9SqVCpVKxZQpUx5rXEIIIYQQQggh7IeDh0fKpFfu7gDEbNlKxLz5No4K1Co1nz8zGUVJScWdi1vDzahbNo5K5BVJsAphI3v27DElDTP68fDwoHr16gwePJhdu3bZOlyRh4xGIxcuXGDBggWMHDmSpk2b4uzsbHrt9+zZY3WdcXFxBAQE0K5dO8qUKYOzszO+vr40atSI0aNHs3379jw/jtDQUL799luee+45ypUrh4uLC8WKFaN27dq88cYbbN26Ncd1Dx8+3PR81KhRw+Jyw4YNS9OOXnnlFYvKLV26NE25ihUr5jByIYQQQgghhK05V65E6W++Ni3f/+474g4etGFEKZqUrkMZVceUBVUyH/z9WYHoXStyTxKsQhRQcXFxXL16lSVLltCuXTuGDh2KwWCwdVgiDyxevJg6deowfPhwfv75Z44dO0ZSUlKO69u9ezd16tTh7bffZteuXYSEhJCUlMT9+/c5efIks2fPZsKECXkWv6IoTJs2jWrVqjF+/Hh2795NcHAwiYmJREZGcvHiRX777Te6dOnCM888w6VLl6yqPz4+nlWrVpmWr1y5wuHDh3MU6+rVq9HpdNlut3jx4hzVL4QQQgghhCiYPJ97Dp+RI1MWjEbujnmfpOBg2wYFvN1oJEa9FwAXov5hx+0dNo5I5AVHWwcg8o9er0ev11u1vaIoGI1GjEZjPkaWO6nf7qTGaq/MY3/rrbcYMWKEaVlRFCIiIjh8+DAzZ87k/v37LFq0iLJlyzJ16lRbhPtYZfS6mieX7fl1h7THotFo8Pf3R6/Xc/bsWQCr2uCOHTvo2bMnOp2OIkWK8Oabb9K6dWtKlixJfHw8Fy9eZNOmTdy/fz9Pnje9Xs/QoUNZsWIFAK6urgwZMoROnTpRpkwZ4uLiOHfuHIsWLeLYsWPs37+fVq1asWHDBmrXrm1Ru121ahWxsbEAuLu7ExcXx8KFC2nWrFm28Zl/++vi4oJWq2Xt2rX0798/0zJhYWHs2LHDVCY1IWvv55kQuVFY3mtzwmg0oigKer0eBwcHW4cjhEVSP/Nb89lfCGFb0m4fD+833yD+/Dni/96LITqaO2+PpuyihahdXW0W03NVS+O47QWMJRYC8OXhL2laoinuGnebxSQyZk37lARrIRIQEEBAQIApebN9+3bc3NwsLu/o6Iifnx+xsbG56k33uMTExNg6hFyJj483Pfb29qZ8+fJp1leoUIGGDRvStm1b2rZti06n48cff+Tdd9/FycnpcYeb75KTk02/tVqtjaPJXxUqVOCrr76iYcOG+Pv74+LiwvTp000J1vj4eIueg/DwcAYMGIBOp8Pf359Vq1ZRsmTJNNv4+/vTr18/kpKS8uR5/eSTT0zJ1dq1a7N06dJ0t9M3bNiQl19+mYCAAD755BMiIiLo2bMn+/fvt2gfCxYsAKBBgwY0btyYuXPnsmLFCj799NNsz33zN8AuXbqwdu1aFixYQJcuXTItM3/+fAwGA6VKlaJixYocOnQIo9FY6M9DISxh7++1OZGUlERCQgJ79+41vTcJYS8CAwNtHYIQwkrSbvOfum1byp+/gFN4OEmXLnHqzTcJ698fVCqbxVTPsTrHYmvg6HGZB7oHfLD+A7q4Zv4/i7AN87xNdiTBWoiMGjWKUaNGodVq8fb2pmPHjnh5eVlcXqfTcefOHTw8PHBxccnHSHNHURRiYmLw9PREZcMLYm6ZJ7+dnZ0zfa2aNWtG165dWbNmDTExMYSEhFCvXr3HFeZj4+joaPptzXlrj1KT5uacnZ1Nj93c3Cx6DsaOHUtERARubm789ddfVKhQIc9jNXf48GFmz54NQOnSpdm5c2e6hK65Dz/8EICPP/6Y8PBwxo0bx7p167JstyEhIfz9998ADB48mObNmzN37lwiIyPZu3cvvXv3zjJGjUZjejx8+HDWrl3Lrl270Ol0mcaaOhzBoEGDOHr0KABqtbrQn4dCZKWwvNfmhE6nw9XVlWeffbZAfx4SwpxerycwMJAOHTqkeS8UQhRc0m4fr6QGDbgzcBBKfDxeJ09RuWNHirz8ss3iKX9XS++5UbhXnoFKnczhpMOMfm401YtWt1lMIj1rOt1IgrUQ02g0Vl2oDQYDKpUKtVqNWl1wh+dNvVUxNVZ7ZR57dsdSuXJl02O9Xp/htjdu3GDt2rXs2bOHs2fPcu/ePQBKlixJixYtGD58OJ07d84ypqioKAICAti4cSOXLl0iNjaWIkWKUKJECWrUqEHHjh3p3bs3vr6+GZbX6XT8/vvvrF27lvPnzxMREUGRIkWoV68eAwYMYOjQoaZEalYyOr7Uf/AnT57MlClT0qxbsGABw4cPB+DmzZuUL1+e33//nQULFnDx4kWSkpKoUqUK/fv3Z8yYMdn27DYYDCxZsoSVK1dy4sQJHj58iIeHB7Vq1aJ3796MGDEC1zy+pcQ8gWFJG4yMjOSPP/4A4OWXX6ZSpUp5Gk9GvvnmG9NtwzNmzMDPzy/bMh988AErVqzg3LlzbNq0iStXrlCrVq1Mt1+2bBlGoxEHBwcGDhyIn58fVatW5dq1ayxZsoS+fftmuT/z57FLly6UKFGCBw8e8Oeff/LOO++k2/7cuXOcOnUKgCFDhpgSrJDxeSjEk6KwvNfmhFqtRqVSWf05SoiCQM5bIeyPtNvHQ1OzJqW//JK7774LQPi33+FWuw7uzbMfhiw/NKhQjKpFK3DrYVucSwRiUAxMPzadhV0WolY9WZ+9CjJr2qa8akLYgVu3bpkePzqUAKQkFatUqcK4cePYuHEjt27dQqfTodPpuH37Nn/++SddunRh8ODBmd7uePHiRerUqcNHH33E4cOHiYqKIjk5mfDwcC5evMi6desYOXIkK1euzLD86dOnqVmzJqNHj2bXrl3cu3cPvV7PgwcP2LlzJ6+99hotW7Y0JX7zS3x8PB07duTNN9/k0KFDREVFER8fz9mzZ/noo49o27YtcXFxmZa/ffs2jRs3ZtiwYWzatInQ0FCSkpKIiIjgwIEDjB07lnr16nHlypV8PY7sbNy4kYSEBAB69Ohh+nt8fDzXrl0jLCwsT2ejjIyMZP369QCULVs220RnKkdHR95++20gpUdc6u3/mUmdbKpdu3amBO6gQYMA2Lx5Mw8fPrQ4ZkdHRwYMGJCm3kctWrQIgPr16+Pv729x3UIIIYQQQgj74tWpI8XfeCNlwWDg7pgx6ENCbBKLSqWid6OyJD1sjTHRB4BTD07x17W/bBKPyD1JsApRwF26dImNGzcC0KJFiwx7jxoMBpycnOjevTuzZs1ix44dnDhxgh07dvDTTz9Rp04dAJYsWZLpJFmDBw8mJCQEjUbDyJEj2bBhA0ePHuXIkSOsXr2a8ePHU7Vq1QzLXrt2jdatW3Pr1i28vLyYNGkSa9eu5dixY2zbto1Ro0bh6OjI0aNH6dmzZ74O5P7666+ze/duhg4dyqZNmzh+/Dhr167lqaeeAuCff/7h888/z7Dsw4cPefrppzl9+jTOzs68/fbbrFy5kqNHj7J7924mTZqEm5sb165do0uXLkRHR+fbcWTn8OHDpsf+/v4cPXqUjh074unpSbVq1ShVqhS+vr68/fbbeZLUPnDggKlHW9euXa3q0WaeAM5qHNYTJ05w7tw5IKVXbqrUx3q93tRr11KDBw8G4NixY1y6dCnNOqPRyLJly9JsJ4QQQgghhCi8Srz7Du5PPw2AISKC4NHvYPx3ktvH7YWGZVDhiC6sp+lv3x//nihdlE3iEbmkiEInOjpaAZTo6GiryiUkJCgXLlxQEhIS8imyvGEwGJTIyEjFYDDYOpRc2b17twIogDJixAjl7Nmzpp8zZ84oe/fuVb766ivFz89PARRvb2/l0KFDGdYVGxurhISEZLovo9GoDBs2TAEUd3d3JSoqKs3669evm2L58ccfs6wnIiIi3d9btmypAErDhg2VBw8eZFh2y5YtilqtVgBlzpw56da3bt1aAZTWrVtnWD41vsmTJ6dbN3/+fNN6QFm8eHG6bXQ6nVK3bl0FUIoXL67o9fp02wwcOFABlAoVKig3btzIMI4TJ04o7u7uCqB8+OGHGW6TE5MnTzbFv3v37my3b9OmjWn7BQsWKI6OjmmeA/MfPz8/5dSpU7mK7/PPPzfV98svv1hdPvU8dnFxyXSbd999VwEUNzc3JSYmJs265s2bK4DStGnTLPczdOhQU5ypatWqleHrFRgYqACKg4ODEhoaqijKf+dhhQoVrDxCIQqXwvJemxP28nlICHNJSUnKunXrlKSkJFuHIoSwkLRb20mOjFSutu+gXKhRU7lQo6Zy94NJitFotEksL/9+WKkwcaNS44dBSt0FdZW6C+oqkw9MtkksIj1r8msyBqvIke4/7udBTKKN9q5gVBTUKhWQvxNvlPB0ZsPop/N1HwA///wzP//8c4br1Go1b731FmPGjKF69YwHvHZ3d8fd3T3T+lUqFd999x2LFy8mLi6OHTt20KdPH9P6sLAw0+Nnn302y3qKFi2a5m/79u3j4MGDACxcuBAfH58My3bu3Jm+ffvy559/smDBAl5//fVM95MbvXv3TtP7MVVqj9S33nqLhw8fcuHChTSThQUFBbFixQoAZs+enemYpg0bNmTUqFF8/fXXLFiwgC+++CJfjiM7ERERpsdvvfUWKpWKzz//nCFDhuDr68u1a9f45ptvWLBgAWFhYfTq1YvTp0/neOKm8PBw02NLxl59lK+vL2FhYeh0OuLi4tKdr8nJyabeqb169cLDwyPN+sGDB3PkyBGOHj3KpUuXqFmzpsX7Hjx4MB9++CFLly7l888/N43TmjpsQPv27XN0TEIIIYQQQgj741CkCGVn/0jQSwNQEhKIXrsWF/+6FBs48LHH0qdRWfZdDSfx/vO4el8mGR2rr66mV9VeNCjZ4LHHI3JOhggQOfIgJpEwrc5GP4ncj0kiTJv/Mdguifwfo9HI8uXL+fnnn0lMtCwevV5PcHAwFy9e5Ny5c5w7d46QkBCKFy8OpIyXaq5UqVKmx9mNkfmo1HE5a9Soke0YlqnJ26NHj2Y6FmxupY7XmZHGjRubHt+4cSPNuk2bNmEwGHBzc6NLly5Z7iP1OEJCQrh9+3Yuos0583FkdTodc+fO5X//+x/lypXDycmJ2rVrM3/+fN74d4yhoKCgTJP4loiJiTE9fjT5aQnzMlFRUenWb926lfv37wNkmCDv37+/aYDxzMZTzcygQYNQqVTcunWLffv2ASlj1a5ZswaQ4QGEEEIIIYR40rjUqEGpz/8bPu/etC+JP378scfRsY4v7k4OKMleJD/sZPr71MNTSTbmz//MIn9ID1aRIyU8nW2498fbg/VxmDx5MlOmTEnzt4SEBK5du8bixYuZMWMGM2fONI1p6ubmlq4OvV7PnDlzWLx4MSdPniQpKSnT/Zn3RgSoVKkSzzzzDPv27WPGjBls27aNPn360KZNG1q0aJHh/lIdO3YMgMuXL6eZwT0rer2eiIgISpYsadH21siqZ2OxYsVMj80ThvDfccTHx+PoaPmlMSwsLMOJx/Kbi4uL6XG9evUyTRJOmzaNhQsXkpiYyIoVK5g4caJp3c2bNzOd8KtkyZJpXh9PT0/T49jYWKvjNS/j7Jy+XS1cuNC03w4dOqRb7+PjQ6dOndi4cSNLlixJ0xM1O+XLl6dNmzbs3r2bxYsX8+yzz7JmzRpiY2Px8PDghRdesPp4hBBCCCGEEPbN+/nn0Z2/QMS8eZCcTPC771Fp9So0Gcx7kl/cnBzp4l+KVceDibnfjBplzxOScI0rkVdYdnEZQ+oMeWyxiNyRBKvIkcdx23xmjEYjWq0WLy8vqybasTeurq74+/vz9ddfU61aNd544w3279/PtGnT0k3SFBERQceOHTlu4TduqbPPm/vjjz948cUXOXToEBcuXODChQtMnToVjUZDixYtGDhwIMOGDUuT2ANMvQ6tFR8fn6Ny2ckqGWx+vhgMhjTrCtpxZMc84dmxY8dMtytevDhNmjThwIEDnD59mqSkJJycnAAYPnw4f//9d4blHk36mw/9YD6khKVSJ9pydHSkSJEiadZFRUWxYcMGAF566aVME9yDBw9m48aN3L59mz179tC2bVuL9z948GB2797NypUr+fHHH029YPv06ZPlOSOEEEIIIYQovEq+PwbdxQvEHzqMITyc4HfeocLixaj//Z/pcejTqCyrjgcDDnjF9SdUPQ0FhYBTAXSs2BE/dxnOzB4U3uyUEIXIq6++aup9OW/evHTr3333XVNytVevXqxfv56goCDi4+MxGo0oioKiKJQrVw4ARVHS1VGmTBkOHjzIjh07GDlyJHXq1EGlUqHX69m3bx8jRoygbt26XLlyJU251ERl/fr1OXv2rMU/ZcqUydPnKLdSj8PHx8eq42jatKlN4k19LR99nNW2RqMxzdit1qhfv77p8cmTJ60qGxoaakrKVq1aNV0CdcWKFabhL2bNmoVKpcrwp3///qYyixYtsiqGvn374urqSnR0NHPmzGHnzp2ADA8ghBBCCCHEk0zl6EiZ779HU7o0ALrTZ7g39fNsSuWt5pWKUaaIKwAnrnrxfKWUO+zik+P5+ujXjzUWkXPSg1UIO6BWq6lWrRpHjhwhNDSUhw8fmsZT1Wq1psmZBg0axJIlSzKtJzIyMtt9tWvXjnbt2gHw8OFDduzYwZw5c9i1axfXr1+nf//+aRJsqXHExsZSt27dHB+jraUeR0xMDLVq1cLBwcHGEWWtTp06rFy5EkjfG/dR5uvNk5t79uyxeH+tWrVCrVZjNBrZtGkTRqPR4h7kqeP0Ajz9dPre79YmSwFWr15NQECAxb1PPT096dWrF3/88QcTJ07EYDBQtmxZq3rBCiGEEEIIIQofx6JFUya9GjAQJTGRqJUrcalbl6L9+z2W/avVKl5oWIbZu69hMCqUMfahmMseInQRBN4KZP/d/TxdxnZ3EQvLSA9WIeyE+aRQ5o+vXr2KXq8HSNPD71GXLl2yeuzM4sWL079/f3bu3EmPHj0AOHXqFFevXjVt07BhQyBl0qic3DpeUKQeR2Jiomk81oIsdaItSD9h16OuX78OpIzbaj4OrTWKFi1Kz549AQgODjZNEJUdg8HATz/9ZFru27dvutgOHjwIpAwP8Mcff2T588UXXwApifC1a9dadQypvVV1Oh2Q8oVEYR5mRAghhBBCCGEZl9q1KTX1M9Ny2OefE2/lnXu50bvRf3d4bjodzdgmY03L045MQ5ese2yxiJyR/yyFsAPx8fFcuHABSBmb1Xw8TPNka2YTFgH88ssvuYohtVcrpJ0kKzXxqigKP/zwQ672YUvdu3c3TZo0c+ZM2wZjgWeffZYSJUoAsGHDhkx7sd68eZNTp04B//VCzakJEyaYnqMxY8akmywtI9988w1nzpwBwN/fP90EVua9V8eNG8dLL72U5c+ECRNMvY2t7fnasWNHypUrh7OzM87OzjI8gBBCCCGEEMLEu0cPig75938EvZ6777yLPodzdVircgkPGpYvAsDFUC1VXFrT2LcxAHdi7jD33NzHEofIOUmwCmEHpkyZYpqYqlOnTmluX69ataop6bVw4cIMx1fdsGEDs2fPzrT+U6dOmZJwGVEUhR07dgCgUqmoWLGiaV3Hjh1p1qwZkJJM+/PPP7M8lrNnz5omNCpIatSowYsvvgjA8uXL+f7777Pc/ubNm/zxxx+PI7QMOTg4MG7cOABu3brF1KlT022TnJzMyJEjMRqNALz11lu52meLFi1M+wwODqZ9+/YEBQVluK2iKMycOZMPP/zQFO+jz6miKKYhLSpWrEjjxo2zjcHR0ZFevXoBsHPnTkJDQy2O38HBgdu3b6PT6dDpdNSpU8fiskIIIYQQQojCz3f8eNz+nWcj+cED7r43BiUp6bHsu0+jsqbHa0/e5aPmH+GoShnibe7ZudzS3noscYickTFYhSgA7t+/z7lz59L8TafTcfXqVRYtWsTWrVuBlFu8P/vsszTbFS9enK5du7Jp0ya2bt1Kx44dGTFiBBUqVOD+/fusXr2aBQsWULlyZaKionjw4EG6/Z86dYrhw4fTtGlTunfvTqNGjfDz80Ov13Pz5k3mz59PYGAgkNJjtVSpUmnKL1u2jGbNmhEREUH//v1ZsmQJ/fv3p1q1ajg4OHD//n1OnjzJhg0bOHz4MGPHjqV79+55+RTmiZ9//pljx45x48YNxo4dy19//cWQIUOoU6cOzs7OPHz4kNOnT7N161Z27drFCy+8wIABA3K0rwULFqRZNk9wb926NU3ismrVqhmOXfrOO++wYsUKTpw4waeffsrly5cZOnQoJUuW5Pr168yYMYNDhw4B0LVrV/r06ZOjWM198cUX3L59mxUrVnD69Gnq1KnD0KFD6dy5M2XKlCE+Pp4zZ86wcOFCjh49aio3e/ZsmjRpkqau/fv3m4Y3sCa2Pn36MHfuXAwGA0uWLGH8+PG5Pi4hhBBCCCGEUGk0lJk5g5t9+pIcFkbCiRPcmz4dv08+yfd9d6tXis82XCDJYGTdqRA+6PIcQ+oMYd65eeiNer44/AW/dvjV1MFKFCySYBWiAPj555/5+eefs9ymRIkSLFmyBH9//wzLP/3009y+fZsdO3aYepumKl++POvWraNr165Z7uPo0aNpkmKPatmyJXPnpr81oUqVKhw6dIg+ffpw7tw5NmzYkGUvVS8vryzjsJVixYpx4MAB+vXrx759+9i7dy979+7NdPvcHMfw4cMzXffVV1+lWR46dGiGCVYXFxc2btxI9+7dOX78OMuXL2f58uXptuvatSvLly/PkzdijUbDH3/8Qd26dZk+fTpxcXFZnr/e3t7MnTuXF154Aa1Wm2ad+S3+j47NmpX27dtTpEgRoqKiWLx4sSRYhRBCCCGEEHnGsXhxyv44i1uDXkZJSiJy2R+41KlLkT6983W/RdycaFerJFvOhREem8i+q+G8We9NttzcQmhcKIdCD7EtaBudK3XO1zhEzsgQAUIUUE5OTvj5+dGuXTu+++47Ll++TMeOHTPctly5cpw4cYLx48dTvXp1nJ2d8fb2pn79+kyePJlTp05Ru3btTPc1YMAANm/ezJgxY3j66aepVKkSbm5uODk5UbZsWXr06MHSpUvZt2+fafzLR1WvXp1Tp06xbNky+vTpQ/ny5XF1dcXJyYlSpUrRpk0bPvroI44fP84nj+Hbv5zy8/Nj7969bNy4kUGDBlG5cmXc3NzQaDSUKFGCli1bMnbsWP7++2/mzZtn63ApVaoUhw8f5pdffqF169aUKFECjUaDn58fPXr0YM2aNWzatAlPT88826dKpeKjjz7i6tWrfPXVV7Rp04YyZcrg5OSUZrty5cpx7dq1DHun6nQ6Vq5cCUCZMmVo3ry5xfvXaDSmHtBnz57l5GMcfF4IIYQQQghR+Ln6++M3ZYppOezTT0k4ezbf92s+TMDqE8G4adz4oNkHpr99ffRrYpOsm7xaPB4qJaMBG4Vd02q1eHt7Ex0dbVUPO51Ox82bN6lUqRIuLi75GGHuGI1GtFotXl5eMgO4EAWMoii89NJLprF4J02axLRp06TdCmFnnuQ2ay+fh4Qwp9fr2bx5M127dkWj0dg6HCGEBaTd2oewzz4jclnK3BuOfn5UWr0Kx0w6HeUFvcFI82k7iYhLwslRzdH/tcfbVcPonaPZE7wHgJdrvczEZhPzLQbxH2vya0/WJ2YhhBD5SqVSsXDhQlq0aAHAl19+meUEa0IIIYQQQghRUPl+8AGujRoBkBwWljLplV6fb/vTOKjpUb80AEnJRjafTZnU94PmH+DikPLF77JLy7j48GK+xSByRhKsQggh8pSLiwt//fUXlSpVAuDdd99l1apVNo5KCCGEEEIIIayjcnKi7A8zcSxZEoD4o0e59803+brPvo3/GyZgzYlgAMp4lOHN+m8CYFSMfH74c4yKMV/jENaRBKsQQog8V7JkSbZs2cLkyZP5+OOPuX79OklJSbYOSwghhBBCCCGs4liiBGVn/QD/DuUQuWgx0evX59v+6pT2orqvBwBHgyK59TAOgKG1h1LJO6UTy5nwM6y+ujrfYhDWkwSrEEKIfFGjRg2mTJnClClTmDhxYrpJsIQQQgghhBDCHrg2aIDfxx+ZlkM//gTdhQv5si+VSpVmsqs1J+4CoHHQ8FHz/2KYeXwmDxMe5ksMwnqSYBVCCCGEEEIIIYQQIgtF+/WjyIsvAqAkJhL89miSIyPzZV+9GpZBrUp5vOZkMKnz0zcr1YxulbsBoE3SMuP4jHzZv7CeJFiFEEIIIYQQQgghhMiG78cf4VK/HgD6kBDuvv8+SnJy3u/Hy4VWVX0AuBORwNGg/xK5Y5uMxVPjCcBf1//i+L3jeb5/YT1JsAohhBBCCCGEEEIIkQ21kxNlZ83CwScl+Rl/6DD3v8+fXqQZTXYF4OPqwzuN3jEtf374c/RGfb7EICwnCVYhhBBCCCGEEEIIISyg8fWl7A8zwdERgIh589Bu3pzn++lY2w93JwcANp0JRac3mNa9WP1F6hSvA8C1qGssubAkz/cvrCMJViGEEEIIIYQQQgghLOTWuDG+H04yLYf87yN0ly/n6T5cnRzo6l8KgJjEZLZfuGda56B24OOnPkZFykCtP5/+mdDY0Dzdv7COJFgLiKCgIFQqVYY/w4YNs3V4QgghhBBCCCGEEOJfRQcMwPuFFwBQEhIIfns0hqioPN1Hn0yGCQCoU7wO/Wv0ByAhOYHp/0zP030L6zjaOgCR1gsvvEDv3r3T/K1KlSo2ikYIIYQQQgghhBBCPEqlUuE3ZTKJV6+iO3cO/Z073B03nnK//oLKwSFP9tGsYjHKFHHlblQCe6884L5WR0kvF9P60Y1GE3grkIe6h+y6s4u/7/xN63Kt82TfwjrSg7WAqVevHi+//HKan6eeesrWYQkhhBBCCCGEEEIIM2pnZ8r+OAuHYsUAiNu/nwc/zMq7+tUq+jQqA4BRgb9OhaRZ7+Xkxfim403LX/7zJQnJCXm2f2E5SbAWQAkJCSQkSIMQQgghhBBCCCGEKMg0pUpRZsYM+LfX6sM5c9Bu355n9b/Q6L9hAlafCEZRlDTru1bqSnO/5gDcjb3Lb2d+y7N9C8tJgrWA+e6773Bzc8PNzY2qVavy448/pms8QgghhBBCCCGEEKJgcG/eDN+JE0zLYZ9NxRAblyd1V/Jxp1H5IgBcCovhQqg2zXqVSsWHLT7EUZ0yCuj88/O5EX0jT/YtLFcoE6zx8fFs2bKFzz//nN69e1OhQgXThFFTpkyxqI6YmBimTJmCv78/Hh4eeHt707RpU7777juSkpLyPGa1Wk27du348ssvWb9+Pb/++itFixblnXfeYcyYMXm+PyGEEEIIIYQQQgiRN4oOHoxHu3YAGMLDeTj39zyrO+1kV3fTra/sXZnhdYYDkGxM5ovDX0hnvcesUE5y9c8//9C1a9ccl7916xZt2rQhKCgIADc3NxITEzl27BjHjh1j6dKl7Ny5k6JFi6YrqygKiYmJFu1HrVbj5OQEQPny5dmxY0ea9a+++irt2rVj1qxZvPnmm9SqVSvHxySEEEIIIYQQQggh8odKpcJ34gRi9+4FvZ6IefMp2q8fmlKlcl13N//SfLr+AkkGI3+dussHXWqicUjbZ/KNem+w+eZm7sbe5Z+wf9h0cxPdKnfL9b6FZQplD1aAokWL0q5dO8aPH88ff/yBn5+fReWSk5Pp3r07QUFBlCpVisDAQOLi4oiPj2f58uV4enpy8uRJXn755QzL37p1C1dXV4t+GjVqlGUsDg4OTJw4EUVRCAwMtPo5EEIIIYQQQgghhBCPh1P58hQbNAgAJTGRBzNn5km93m4a2tcuCUB4bBL7rj5It42LowsfNv/QtPzt0W/RJmnTbSfyR6HswfrMM88QERGR5m8ffPCBRWUXLlzI2bNnAVi9ejVPPfUUkNLbtH///hiNRgYOHMjmzZvZuXMn7f7t/p3Kx8eH+fPnW7SvjHrAPqpChQoAhIeHW1SnEEIIIYQQQgghhLANnxFvEb12LYboaKL/Wk/Rlwfj6l831/X2aVSWzWfDAFh94i7P1fRNt82zZZ+lXfl27Ly9k4e6h/x44kf+1+J/ud63yF6hTLA6/DtzW04sXLgQgLZt25qSq+Zeeukl/ve//3Hz5k0WLVqULsHq4eHBsGHDcrz/R127dg0AX9/0DUcIIYQQQgghhBBCFBwO3t74jBrFvWnTALj/1VeUX7wIlUqVq3qfrV6C4u5OPIxLIvDCPaLj9Xi7adJt90GzDzgYcpCE5ARWXF5Br6q9qONTJ1f7FtkrtEME5ER8fDwHDhwAoEuXLhluo1Kp6Ny5MwDbt2/Ps33fv38/3d90Oh1Tp07FwcGBTp065dm+ROGzYMEC00RuqWMHmxs2bBgqlYqKFSs+9tiEEP9JSkqiWrVqqFQqVq1aZetwRAFk7aScGdmzZ4+pnj179uRZbI9DcHAwzs7OODk5ceXKFVuHI4QQQgiRI0UHvITTv/9/xx87Rswjc+7khMZBTc8GZQBISjay6Wxohtv5ufsxov4IABQUph6eisFoyPX+RdYKZQ/WnLp48SJGoxGAunUz776dui4sLIyIiAiKFSuW632/+eabPHz4kLZt21K2bFnCwsJYtGgR165dY/LkyVStWjXTsomJiWkm1tJqU8bY0Ov16PV6i2PQ6/UoioLRaDQ9DwVR6kx4qbEWJn///TfPPfecaXnfvn20bNky23Lmz0NGr5/57IGF7TkrSA4ePMgzzzyDWq0mNDQUHx8fi8tGRUVx9OhRjh49yj///MOxY8cIDU15w2zdujW7du2yOp5//vmHhQsXsmfPHu7evYvRaMTX15caNWrQrl07Xn75ZUqUKGF1vVnZsmUL69at48CBA4SFhREfH0/JkiWpUqUKzz33HK+88gqlcjDIe1BQEFWrVjWdy4sXL2bgwIEWlatSpYppWaVScf36ddPwK1mpWbMmV69eNS3PnTs313cozJw5k2vXrlG3bl1eeOEFaY8iU7l5j8vuPcHS/ec2jkctWLCAV199FYDr169n+KVf6dKlGTZsGHPmzGHs2LH89ddfebJvaxiNRhRFQa/X5+quKCEep9TP/NZ89hdC2Ja028Kv2JgxhL37LgD3v/kWl1atUGnS9zi1Ro96vsw7cBOAVcfv8GKjjP+36l+tP+uvreda9DXOPzzP8ovL6Ve9X672/SSypn1KgtVMSEiI6XGZMmUy3c58XUhISJ4kWLt168aiRYv45ZdfiIiIwN3dnUaNGjF9+nT69OmTZdkvv/ySTz/9NN3ft2/fjpubm8UxODo64ufnR2xsLElJSVYfw+MWExNj6xDy3Ny5c9MtZ5XsT6XT6UyPY2NjTUn2VKkXBaPRmG6dyDurV68GoGnTpjg5OVn1XDds2JDbt29nuC45OdmquhITE5kwYQKLFy9Ok1wHuHHjBjdu3GDLli34+fnx/PPPW1xvVi5evMi7777L0aNH0627c+cOd+7cYc+ePXz99deMGzeOd955x6pbZH7//fc0x7JgwQK6dct+RszY2Ng0y4qiMG/ePMaOHZtluaNHj6ZJrkJKO8tN+4mJieGrr74CYMyYMYXyGibyTmJiYo7Pt/j4+DSPc3ve5pXs3qtSjRo1ivnz57Nx40Z2795N48aN8ywGSyQlJZGQkMDevXtJTk5+rPsWIrdkYlwh7I+020JMUShbuTJuN26gv32bQ59MJuqZp3NbJaVcHQhNUHHidhQLV2+mhGvG27YxtOEaKcNOzjw2E+WKgqfaM1f7f9KYf67OjiRYzZj/E5FVYtJ8XV794/Hqq6+aenVYa9KkSbz//vumZa1WS7ly5ejYsSNeXl4W16PT6bhz5w4eHh64uLjkKJbHQVEUYmJi8PT0zPUYJgVJQkIC69evB1LG8o2NjeWvv/7ip59+wtnZOcuy5q+Xh4dHutdd8++3ZGq12qpzQlgn9cNRr169rH6ezc9lX19fmjRpwqZNm4CULz8srS8pKYkBAwawdetWAJ577jkGDBhAzZo1cXFxISQkhEOHDrF69WpcXV3z5HzYt28fvXr1IioqCoDGjRszZMgQ/P398fDw4O7du2zbto1FixYRGxvLlClTuH79OnPnzrW4d9jKlSuB/9rGnj17iIuLy7Y3rIeHh+mxi4sLOp2OVatWZfillLm1a9emKZP6ODfP16+//kpERATly5dnyJAhqNUySo/InLOzc47PN/PPKW5ubjmqJz/ea7N7r0pVt25devfuzYoVK5g5c+Zj78Wq0+lwdXXl2WefLdCfh4Qwp9frCQwMpEOHDqbPfUKIgk3a7ZNBV6kSwS8NAEXBb+9emn8wEQdv71zVGeodxFfbUoZSiipSnaHtMr/j+d7he2y4sQEdOs4WO8vnLT/P1b6fNNZ0VJAEayHg7OycYQJOo9FYdaE2GAyoVCrUanWB/sc/9VbF1FgLi7/++suUsJ81axavvPIKkZGRbNq0ib59+2ZZ1vx5yOj1M//nuDA9ZwXJzZs3OX/+PAA9evSw+nl+++23qVSpEs2aNaNcuXJAzl63adOmsXXrVlQqFT/99BNvvfVWum169OjBl19+iV6vz/X5EBwcTO/evYmKikKlUvH1118zduzYNLE3bdqUHj168NZbbzFkyBDOnDnD4sWLqVixIp999lm2+zh48KBpwr8ZM2bw1ltvYTAY+OOPPxg3blyWZc2Pr0ePHvz5559cunSJEydO0KRJkwzL6PV6/vzzTwB69uzJihUrTHXl9PkyGAwEBAQAMGDAABwd5e1XZC0373HZvSdYIj/ea62Ja9CgQaxYsYLNmzcTFBRE5cqV8yQGS6jValQqldWfo4QoCOS8FcL+SLst3DT16+PdsyfR69Zh1GqJ/u03fCdNylWdfRqX45vtVzAqsO50KO93rIlanfEX4uOajuPv4L/RJmnZHLSZPtX70KxUs1zt/0liTduUTIsZT8//ukpn1Q3YfJ15GSFyY9GiRQDUq1eP4cOHU6NGjTR/FwXbhg0bAKhcuTK1a9e2uvy4cePo06ePKbmaEzdu3GD69OkAjBw5MsPkqrm8+CD3xhtvEBERAcDUqVMZN25cpr3dKlSowLZt2yhdujSQkgw+efJktvtIbQM+Pj4MHTqUdu3aASnjsFqjVq1apqRqVmU3b97Mw4cPcXJyon///lbtIzOBgYHcuXMHSEkcCSGy1rlzZ4oXL47RaGT+/Pm2DkcIIYQQIsdKjHkP1b93xUQsXUZSBhNTW6OklwvPVEuZSyM4MoGjQRGZblvMpRhjGo8xLX9+5HP0Bhn3Nz9IgtVM6j/9AHfv3s10O/N15mWEyKnQ0FB2/Dur4Msvv5zm99atW3nw4IHNYktVsWJF06zUlvxk5tq1a4wZMwZ/f3+8vb1xdXWlcuXKDBs2jGPHjmVa7tFZsY1GI/PmzaNt27b4+vqiVqvTTUBkNBpZsmQJXbt2xc/PDycnJ0qUKEHbtm356aef8nSs4Y0bNwJYNC5ofpkzZ46pV+qkXH4raonTp0+zZcsWAPz9/fnggw+yLVOyZEm+//57IKVX5zfffJPl9omJiabepP369UOj0TB48GAAzpw5w6lTp6yKObXs8uXLMx1bMTWh261bN4oWLWpV/ZlJPYZq1arh7++f6XZt2rRBpVLRpk0bIOX95v3336dq1aq4urpSvHhxOnXqZHres7N//34GDx5MxYoVcXFxoUiRIjRs2JCPPvooT64rUVFRfPHFFzz11FMULVoUjUZDiRIlqF27Ni+88AI///wz9+7dy7R8YmIic+bM4fnnn6dMmTI4Ozvj7u5OnTp1eO2119i2bVu6cYSHDRuGSqUyTZAUGhrKxIkTqVOnjul29j179pi2j4yMZP78+bz88svUrl0bDw8PnJyc8PPzo1OnTsyZMyfLa0FQUJDp2rNgwQIA1qxZQ8eOHSlZsiTu7u7Ur1+fH3/8Mc0g+IqisGzZMtq0aUPJkiVxc3OjUaNG/PLLL+mOKSs7duygR48elCpVChcXFypXrszbb7+d5ecUa6xbt44XX3yR8uXLm86RJk2a8Nlnn5mG/ciIta+DtTQaDd27dwdS2qsQQgghhL3S+PpS/JVXUhaSk7n/3Xe5rrN3o//mBlp9Ijjrbav1pl6JegDcjL7JwgsLc71/kQHlCVGhQgUFUCZPnpzpNnFxcYparVYA5euvv850uxEjRiiA4ufnlw+R5l50dLQCKNHR0VaVS0hIUC5cuKAkJCTkU2R5w2AwKJGRkYrBYLB1KHnmm2++UQBFrVYrwcHBiqIoyo0bNxSVSqUAyg8//JBl+fnz5yuAAig3b95Mt37o0KEKoFSoUCHHMaa2IUt/MjtOjUaTaRmVSqV8/PHHGZbdvXu3abstW7Yo7du3T1d+6NChpu0fPnyotGrVKssYa9WqpQQFBeX4OUml1WoVJycnBVACAwNzXV+q1Dhbt25t0faVK1dWAKVJkyamvxmNRiUkJES5fv26Ehsbm2exKYqijBkzxhTjr7/+muW25u02OTlZKVOmjAIojo6OilarzbTcypUrTfs4ePCgoiiKEhsbq7i7uyuAMmbMmCz3e/PmTVP5yZMnK/fu3VMcHR0VQNm4cWO67SMiIhRnZ2cFUNauXZvmvJs/f372T0omKlasqADK4MGDs9yudevWptd8//79io+PT6bn7zfffJNpPQaDQRk1alSW57+3t7eyffv2HB/ThQsXlNKlS2d7Lfjxxx8zLH/y5EmlUqVK2ZZ/9Jpmfj07dOhQhs/R7t27Tdtbcu1q2LChEhoammGc5ufQ/PnzTZ8BMvrp3bu3kpycrOh0OqVv376Zbvf6669n+ryan69TpkzJ8vXbu3dvhnWYn7fmz4W5iIgI5bnnnsvyeSlRooRy4MCBDMtb+zooSvbvVY/65ZdfTNtfuXIl2+3zir18HhLCXFJSkrJu3TolKSnJ1qEIISwk7fbJYoiNVS4//bRyoUZN5UKNmkrskSO5qi8+MVmp88lWpcLEjUqdT7Yq8YnJWW5/8eFFpd7CekrdBXWVJoubKHe0d3K1/yeFNfk1GQTOjJubG61atWLfvn1s3bqV8ePHp9tGURS2bdsGQMeOHR93iFbR6/VpetNYsr2iKBiNRtPYawWR8m/Pn9RYC4PU25XbtGlDqVKlMBqNVKhQgZYtW3LgwAEWLVrE22+/nWl58+cho9dPMestldPnbOvWrVn28rpy5QoDBw5Er9dTvnz5dPv59ttvmThxIpAyDMKbb75JtWrVKFKkCJcvX+ann37i0KFDTJ06leLFizN69OhMj3HixImcOXOG7t27M3ToUCpUqMC9e/fQarUYjUYMBgPdunXj0KFDALRu3ZqRI0dSqVIlQkJCmD9/Pn/99RcXL16kXbt2nDhxIs1kSNbasmULSUlJeHl58cwzz+TLeZldnQ8ePODGjRtAygQxOp2O6dOn8+uvvxIWFgakjCvYvHlz3n//fXr37p3rmPbu3Wt6/Pzzz2cZo3m7ValUdO3ald9++43k5GQOHjxIhw4dMiy3cGHKt6tVqlShefPmGI1GXF1d6dmzJ8uWLWPZsmV89dVXmU6WZR6Toij4+PjQsWNHNm/ezKJFi+jSpUua7ZcvX05iYiLFixenc+fOHDx4ME1dOXltg4ODCfr3NqAmTZpYVEdoaCi9evVCrVbz5Zdf0qpVK5ycnDhw4ABTp04lKiqKSZMm0alTJ+rUqZOu/MSJE01jvlaqVInx48fTqFEj4uLi2LBhAwEBAURHR9OtWzcOHz5M/fr1rT6uwYMHExISgkaj4bXXXqNz5874+flhNBoJDg7myJEjrFu3LsNr9cWLF3nmmWeIjY0FUiaG69+/P5UrV8ZgMHDlyhUCAwNZt25duuc99VyKjY2lT58+6HQ6PvzwQ9q3b4+bmxtnz57F19fXVMZgMNC8eXOef/55GjRogK+vL0lJSdy8eZOlS5eybds2Tp48yUsvvcSuXbvSHaf5vn/55ReOHDlCly5dePXVV6lQoQJ37tzhq6++4siRI6xZs4a5c+dy9uxZVq1axYABAxgwYAClSpXi6tWrfPbZZ1y6dInffvuNXr160blz50yf302bNnHs2DFq1KjBuHHjqFevHtHR0axatYrff//d9PqdOXMm3dAi2b0nJCYm0r59e06cOIGDgwMDBgygS5cuVKpUCb1ez759+5gxYwYPHjygW7duHD9+nAoVKqSpw9rXwZK4HmU+TvLu3bupUqVKltvnFaPRiKIo6PV6iyfiE8LWUj/zW/PZXwhhW9JunzBOThQfPZr7n0wG4N70ryj7xzJUORzr3lEFXer6svL4XWITk9ly9i7d62U+AXAVzyq8VP0lll1ehs6gY9rhacxsPbNQTRyeH6xpn5JgfcTQoUPZt28fu3fv5siRIzRv3jzN+pUrV5qSGEOGDLFFiJkKCAggICAAg8EAwPbt29PMJJwdR0dH/Pz8iI2NzdNbp/NL6oRQ9u7s2bOcOXMGgN69e6eZpa53794cOHCA48eP888//1CzZs0M60id5RxS/tl9dKa71IuC0Wi0ahY8c35+fpmui46OZtKkSej1etzd3VmyZEma/Vy6dImPPvoISEn8TJw4Mc2FvFq1anTt2pURI0bw559/8tFHH9GzZ0+KFCli2sZ87OMzZ84wbtw4/ve//5n+VrVqysyJWq2W3377zZRcfemll/jpp59M+6tWrRqtW7dm6tSpfP/991y/fp2PP/4421nls5I643zbtm1JSEggISEhx3VlJDk5OdvXzXx4BUdHR5599lmOHj2aZhuj0cihQ4d48cUXeeWVV/gul7empJ63vr6+uLu7W3RupbbbWrVqmf526NChdNdagPDwcNMXWn369ElT/wsvvMCyZcu4d+8ea9euzfQLr9QEHqQklbRaLX379mXz5s1s2LCB4ODgNDOZpyZ0e/XqhU6nS3Pe6XS6HLWfnTt3mh5Xq1YtyzpShy24cuUK5cqVY+vWrWmGoqlRowa1atXi+eefJzk5mYCAANO4u6nOnz9vGoahVq1abNmyBW+zmUobNWpEq1at6N+/P0lJSbz++uumIUosFRQUxPHjxwH4/PPPeeONN9Ksr1mzJu3bt+fDDz8kOjo63TEPGjSI2NhY1Go1c+bMoU+fPmnW16pVi549e/LZZ5/h6uqapnzq9ezhw4d4eHiwefPmNMMupI5fnVpm3bp1GSbm6tatS/fu3Vm6dClvv/02f//9Nxs2bKB169ZptjM/h44cOcKIESOYNm2a6W9Vq1alefPmtGjRgjt37jBp0iQiIyP58ssv04yDXLVqVRo1akTTpk2JiYlh9uzZtGzZMrOnmGPHjlG/fn02btyY5gugpk2b0rBhQ0aMGIFWq+W9995LN0ap+XkbHx+f7vmfOnUqJ06cwNvbm3Xr1tGgQYM06+vVq0f37t3p1KkTYWFhTJgwgd9++y3NNta+DpD9e9WjKlSogEajQa/Xc/jwYfr165fl9nklKSmJhIQE9u7dm+lQIkIUVIGBgbYOQQhhJWm3TxCNhgql/HAODSPxwgX2T5tGTKNGOa7OTwepab0520/jEHwyy+0rK5XxVHkSo8SwL2Qf36//nlqaWlmWedJlNT/TowptgjUyMtKUaIT/ek3Ex8cTHh5u+ruLi0uaf1yGDh3KDz/8wNmzZ+nTpw8LFy6kXbt2GI1GVq9ezeuvvw5Aly5dTBOtFBSjRo1i1KhRaLVavL296dixY5rEQXZ0Oh137tzBw8MDl38HYM6M6re2EHs/tyHnkGLqBQf5/G2LR0mU13fn6y7WrFkDgKurK4MGDUrzmg0ZMoRJkyaRlJTE2rVr+fLLLzOsw/z18vDwSPe6p05mpFarrTonLJGcnEzfvn25du2aaYzCVq1apdkmdWzQJk2a8MUXX2T6LdnPP//MX3/9RWxsLNu2bTO1NyDNlwXVq1dn2rRpmfYsSk02lChRgl9++SXDyei+/PJLNm/ezKVLl1i8eDHTp0/H2dnZ6uM3Go2mBFqvXr3y/PmFlIRpdvWaJy6WLFmCTqejWbNmTJs2jRYtWpCYmMiWLVuYMGECISEhzJs3j3r16qXrKWyp6OhoU4KlVKlS2canKAoxMTGmsRnNe8PFxsZmWH7hwoWmfbzyyitptunZsyd+fn6EhYWxevVq+vbtm+F+za/vzs7OeHl50b9/f8aMGUN0dDSBgYEMHz4cSJkk7MiRI2n2Z37eubi45Oj1TZ0EDFJ6k2ZVh6Pjf2/LP/74Y4ZfqnTq1InmzZtz+PBh/vnnn3T1LVmyxPSeN3fu3AwnTuvduzfDhw9n7ty5HD9+nMuXL9O0aVOLj8k86Zjde415chdSvvw7ffo0AKNHjzY9/xnJqF7zydnGjx+f7nrzqIYNG2a5fsSIEfz++++cOnWKwMBA07ifqczPoXLlyjFjxox0E8R5eXkxbNgwpk6dSkREBC1atGDChAkZHk+vXr1YvHgxhw8fzvZ8+u233zIc6/2NN97gr7/+YuvWrWzcuJH4+Pg0X4KZn7dubm5p9hMbG8vcuXOBlETrs88+m+G+69Spw7hx4xg3bhx//fUX8+bNw93d3bTe2tcBsn+vykixYsW4d+9eui9D8pNOp8PV1ZVnn302289DQhQUer2ewMBAOnToILORC2EnpN0+meKL+xDyb+eEcnv+pvzYsahdXXNUl9GosHbGPoKjdFzRqmn8dBt8vbL+7OJxy4MPDqTMnbFT2cnIjiNxdczZ/p8E1nSwKbQJ1oYNG3Lr1q10f//mm2/STKoydOhQ06QVkPLP7fr162nbti1BQUGmW92MRqMpgdGwYUOWLl2a78eQWxqNxqoLtcFgQKVSoVarUWfXTT32PsSE5DLCnHucndhz2mXfEsnJyfzxxx8AdO/ePU2PTUiZNb1r166sW7eOZcuW8eWXX2b42pj/LaPXzzyhme1ra6X333/flGD89NNPM0x0pU4A1adPnyxvtyxWrBj+/v4cO3aMI0eO8Oabb2YYd//+/TM9t0NCQrh48SKQMinSo8mdVE5OTgwfPpyJEycSGRnJqVOneOqpp7I52vQOHz7MgwcPUKvVdOvWLc+f31TZ1Wvea1an01G3bl12795tSrS4u7szaNAgmjVrRsOGDYmLi+Ozzz7j9ddft6qne6q4uDjTYw8Pj2zjS034pV5jzBMl0dHRGZZPHTqjWbNmpt5wqdRqNS+99BIzZ85kw4YNmSZpzetN3bebmxt9+/Zl7ty5LF26lFdffRWAZcuWASm9TFN7FmbXtixh/qVe8eLFLaqjSJEidO/ePdNtGzduzOHDh7lx40a6bVLbY506dbI8p9944w1Tom3Xrl0Z9iLOTJky/w2qv2jRIlOPWUts3rzZ9HjMmDFWP6fm17OXX37ZqvKKopiGEzG/U6NMmTKcOnWKM2fOpKvPfLl3796ZfhFj3gu0f//+mcbVoEEDFi9eTGRkJFqtNt11P5W/v3+WSe9XX32VrVu3kpyczN69e3nppZcyjPnR83bfvn1ER0cD8OKLL2Yap9FoNLUDvV7PyZMn0yRjc/I65KQ9pSZY7927l2/X10ep1WpUKpXVn6OEKAjkvBXC/ki7fbJ4P/sM2jZtiN2zh+R794hZuhSfESNyXF/vxuWYtfMqRgU2n7/PG89mPaRS1ypdWX9zPQdDDhIWH8bvF37n/cbv53j/hZ01bfPxfFK1MxUrVuTMmTN88skn1K1b1/Qhu3Hjxnz77bccPnw4z2aWtlseJcGztE1+FM/SGD38UB7H/jxK5uvTuG3bNtMM2y+//HKG26T+PTg4mN2787Y3rV6v59y5c5n+ZDfeyC+//GIa57F///58/PHH6ba5deuWabbySZMmmWbjzuwn9Vb31HFDM1KvXr1M1507d870OLuEkfl683LW2LBhAwBPPfUUPj4+OaojLzzay+qzzz7LMHFarVo1Rvz7Bh4REZHm1vC4uLgszwdz5r2CzXszWsq8TEYJq/Pnz5tuQc+ubSQkJLBy5Uqr9p86xMuePXu4c+cO8F9Cd/DgwVbVlR3zHqyWvndUq1Yty2RSsWLFgPRDpSQmJnL16lUg+/O/YcOGpg8M1p7/lSpV4plnngFgxowZ1KlTh08++YRdu3ZlexvNyZMpty6VL18+3bie1vDw8KBy5coWbbtp0ya6deuGt7c3pUqVokaNGvj7+5t+Nm3aBKRNhmekevXqma4zT5Raul1WQ91k16O4WbNmpsdnz57Ncltz5sOJlCpVKtNrsYODQ5ohDDK7JlvzOuREapsx/1JHCCGEEMKelZwwHv7teBT+2+8k//v/ck70bvhfx4fVx++mmX8lIyqVig+bf4iT2gmAxecXcy3yWo73L/5TaHuwpk4oklOenp58+umnuRqXsVB782+b7Vr5dxxRLy+vfO1d+jgsWrQIwDShTka6detGkSJFiIqKYtGiRXk6NMXdu3fTjJn3qJs3b1KxYsUM1+3evdt0e3mTJk3SjQGY6v79nA0lkVWSJqsklXkyq2TJrBPk5rfUmpezRmqCtVu3bjkqn1fME54qlYr27dtnum2nTp349ttvATh69Cg9evQwPW7btm2m5czfrL29vU1jI2aVDM9M6hcLQIaJ6dS24ejomKZnnrnGjRtTq1YtLl68yKJFi0w9US3xzDPPUKFCBW7dusXSpUtp3bq1aZiLzBK6OWWe/E5ISMhwyIpHZderODX5+ugkQZGRkabH2Z3/Go2G4sWLExYWlqPz/48//uDFF1/k0KFDXLhwgQsXLjB16lQ0Gg0tWrRg4MCBDBs2LF3yPzWJWapU5oPwWyKznp/mFEXh9ddfN/XUzU524ydn9bqYJ8Qt3c58KKNHZff6+fr6mh5b8/rl9TXZktchN1JfE+nZI4QQQojCwrlyZYr270/ksmUo8fE8mDWLUlOn5qiuij7uNKlQlGO3Irl8L4bzIVrqlsn4Ls5UFbwq8Kr/q/x8+meSlWQ+P/I58zvNlwmvcqnQJliFKOiio6NZv349kDJJiJOTU7Zl1qxZw08//ZRmHDxbuHbtGn379iU5OZlSpUqxbt06XDMZN8Y8gfDJJ5/w4osvWrSPrI7R0lmd8/sNIigoiPPnzwOkG7fxcTMfZ7NIkSJZJvHMt32Qi29L69Wrx/HjxwkLCyMsLCzLidAedeLECdNj8wmvICVpmDoMS3JycraJJki57TkoKCjTLwQelZpI/eKLL1i8eDG3b98GoFWrVlSqVMnCo7BMiRIlTI8jIiIsSrDmhfw+/8uUKcPBgwfZuXMna9as4e+//+bChQumWej37dvHt99+y+bNm7Ps0ZlTllwH5s2bZ0quNmjQgPfee4/mzZtTpkwZ3NzcTHUMGTKExYsXZ/uN/+OUX6+f+TX5xIkTmSYujUYjsbGxpiFAypYtm+F2ll6Pcyo1eZzfiVwhhBBCiMfJ5+1RRK9fjzE2lqjVayj68su4PDIsmqV6NyrLsVspHS1WnwjONsEK8Kr/q2y8sZE7MXc4fu8466+vp2fVnjnav0ghCdZCTK/XZ3uL96PbK4qC0WhM1yuqIEn9Bzg1Vnu1fPnyNBMTWSI2NpZVq1alu4XZ/HnI6PUzTxqYrytfvnyWPage3R5SEsPdu3cnIiICFxcX1q5dS6lSpTJ9Lcx7mzo6OlK7du0s95fZvrM7xlTm/4SHhoZmeY6EhPw3jnCRIkWsPp9SE+SVKlWiVq1a+Xo+Zld3lSpVTD1KDQZDltubXxccHBxM2z777LNZng+P1vnMM8+YbuNft25dupnkzZm32+TkZNM4nCqVipYtW6apOzAwkLt372ZaV2b1L1q0iI8++ijTmB+9ZqQmWC9cuMCNGzdMf8vJeZeV4sWLmx4/fPgww0mnMpLVvjJr0+ZjDoeFhWVZR3JyMg8fPgRS2mlOz9+2bduaej4/fPiQHTt28Pvvv7Nr1y6uX79O//79TecJ/NdjObv2mZnMjj0jv/32GwBVq1Zl//796b4ISi2f+jxkVKel50Beb5fd6xcaGmp6/Ojrl9U+UoeXgJRzM7PE6aMT0z1arzWvQ6ohQ4aYhuewtFxqr+xy5co9tvd8o9GIoijo9fp8TyALkVdS39ut+ewvhLAtabdPOE9Pir7xOg+/nwFGI2HTv6L0r7/k6Ev2TrV8mLJBTVKykb9O3WV8h6poHLK+21eNmomNJ/L2nrcB+O7Yd7Tya4W3c/bJ2SeJNe1TEqyFSEBAAAEBAaYEyfbt262avMbR0RE/Pz9iY2PTTP5RUGU1dp09SJ1czc/Pj88//zzb7T/55BNCQkJYsGABPXum/WbJPFEbGxubbqa71IuC8d/hFXLKYDDQv39/Ll26BKTMcl6jRo0s6/Tx8cHLywutVsvff/+d41nrzW9PjY+Pz3Sf5mM67t+/P91zZW7fvn2mx5UqVbL6uVm3bh2QMot6bp7X7CQnJ1tUf9OmTTl48CBarZabN2+mSeyZMx+vsXjx4jmOvXfv3sycOROA2bNn8+KLL2abjIiJiWHdunUEBwebYvb09EwTw7x584CUsVl//PHHbCe2mTVrFmfOnGHRokW88847adaZj/WamJiYZj9+fn40btyY48ePo9PpcHZ2pnPnzmm2MT/vdDpdjp4r8/EpT58+neV4lcnJyabfWe0rMTHR9PjR7apUqcL169c5dOhQlnWcOHHCdG2oWrVqnpzDGo2GLl260KVLFwYOHMiWLVs4deoUJ0+epEqVlAH369Spw/79+7l9+zbnzp2jfPnyVu3DmutZag/zTp06Zfqlo6Ioph7VGdVpfg5ldQ5Yeo3K7nqd6siRI1ke3969e02PK1eunOl5+2gs5hPG7dixg969e2e6D8j8vTav3leycv/+fVPdeXWOWiIpKYmEhAT27t1rapNC2IvAwEBbhyCEsJK02yeXqlgxKhYtiiYykoRDh/h7xkzia+asF2sdbzUnH6qJiNMzY/k26ha17M6supq6nNOfIzIxkgkbJtDTTXqxmstufglzkmAtREaNGsWoUaPQarV4e3vTsWPHDGfVzoxOp+POnTt4eHikGzOvIMmoV429uXnzJkeOHAGgT58+DB8+PNsyZ86cYdasWezdu5eYmJg0s3ibv14eHh7pXvfUW0Afnb3dWmPGjDHNUD5p0iReeeUVi8p17dqV5cuXs3v3bu7evZvulnBLmH9Z4ObmlulxeHl5mcbl/Ouvv/juu+/w8PBIt53BYGDFihVASu+vZ555JtPZwTMSExPDgQMHgJREY26e1+w4OjpaVH+/fv04ePAgkDKT/GuvvZbhdtu2bTM9bt++fY5jb9WqFZ07d2br1q2cP3+eOXPmMHHixAy3TW23iYmJaSZDmzhxYpr9x8bGmiYcat++vUXjqmq1Wt5//32uX7/O+fPneeqpp0zrzF97Z2fndMc6fPhw0wRPvXr1Ste71Py8c3FxydFz1bp1a1xcXNDpdJw/f56hQ4dmuq2jo6Ppd1b7Mj9XH92uQ4cOXL9+nUuXLnHp0qU0kyGZW758uenx888/n+fncKdOndiyZQuQ8v6SWn/v3r359ddfAZg7dy4zZsywql5rrmepyTG9Xp/ptuvWrTONI5xRnebnUFbngKXXqOyu16kuXLjA9evXadiwYYbrU18/BwcHunTpkqaerGLp3r07bm5uxMfHM3fuXIYOHZrhe2l277V59b6SFfMk8jPPPJOv11lzOp0OV1dXnn322QL9eUgIc3q9nsDAQDp06CBjFgthJ6TdCoAYZxfujR8PQKW//6b8O6NROVqfqnOt8oA3lqRMJnvHoTQTuta3qFyT+Cb03tib+OR4jiUd4+02b+Pvk/k8LU8aq77gV0ShEx0drQBKdHS0VeUSEhKUCxcuKAkJCfkUWd4wGAxKZGSkYjAYbB1Kjk2ZMkUBFEDZs2ePRWX27dtnKjN9+vQ06+bPn29ad/PmzXRlhw4dqgBKhQoVchzznDlzTPvo1auXYjQaLS575swZxcHBQQGU2rVrK3fu3Ml02+TkZGXJkiXpttm9e7dp/7t3785yf7NnzzZtO3z48Ay3+fjjj03bTJgwweJjSbVy5UoFUDw9PZWkpCSry1siNb7WrVtbtH1MTIxSsmRJBVBKly6t3L17N902e/bsMb0WdevWtep1zMidO3eUYsWKKYCiUqmUGTNmZFinwWBQTp8+rdSvX990XM8//3y67RYsWGBav2DBAotiuH37tqJSqRRAeeutt9Ksu3nzpqm+yZMnW3185ufd/PnzrS6fqnXr1gqgPPvssxZtl91rPnnyZFNcjzpz5oyiVqsVQKlfv36G7wXbtm0znQfNmjWz6lgURVFOnjypnDx5MtP1RqNR6d69u+m8CAkJSbO+cePGCqCo1Wrljz/+yLSe8PBwJT4+Ps3frLme+fv7m9rDw4cP062/du2aUrp0adNzmVGd5udQVueApdeo7K7XqesApUmTJkpsbGy6bZYuXWrapk+fPlbHMmHCBNP6d999N8P309T32pCQEOW3335Ltz4n7yvm521213FF+e867eLiku48yE/28nlICHNJSUnKunXr8u0ziRAi70m7FYqS8rn5Zv+XlAs1aioXatRUIrL4bJyVpGSD0njqdqXCxI1KtQ83K1Fxlp9XC88tVOouqKvUXVBXeXH9i4reoM9RDIWRNfk16cEqhA0sXrwYSJkl+plnnrGoTMuWLSlVqhShoaEsXrw4056C+eHy5cuMGjUKSJn5e+LEiaZbbzNTt25d02N/f3++/fZbxowZw4ULF6hbty5vvPEGzz33HL6+vuh0OoKCgjh06BCrVq0iNDSUs2fPZjo2YHbeeustli5dyqFDh5g/fz63bt1i5MiRVKpUidDQUObNm8eaNWuAlNupzXtUWmrjxo1ASi+9vPjG+dSpU5w6dSrDdWFhYaYhJVL17ds3Xc9cDw8PZs2axYABAwgJCaFp06ZMmjSJ5s2bk5iYyNatW/n+++8xGAw4Ojryyy85G+PHXNmyZVm3bh3du3cnOjqaMWPGsHTpUoYOHUq9evVwd3cnJCSELVu2sGjRIuLi4oCU8yO1HZhbtGgRkNI7rkePHhbFUK5cOZo2bco///zDihUr+OGHHyyaNO5x6tmzJ3///Tf//POPqVdgfvH392fs2LF88803nD59mkaNGjFx4kQaNmxIXFwcGzZsYNasWRgMBpycnEy9Sa1x6tQphg8fTtOmTenevTuNGjXCz88PvV7PzZs3mT9/vul2tx49elCqVKk05RcvXkyzZs2IjY1lwIABrFy5kpdeeonKlStjMBi4du0a27dvZ9WqVZw7d87iycseNWTIEMaPH09ISAhPPfUUEydOpG7duuh0Onbt2sXMmTNJTEykUaNGaSZeKwiaNGnCsWPHaNKkCRMnTsTf35/o6GhWrVples08PT359ttvra77s88+4++//+bIkSP88MMP7Nmzh9dff50GDRrg7u5OZGQk586dY+vWrezYsQN/f/9Me8Tnp9Q7Jjp16pTpRIpCCCGEEPZMpVLh+8FEgl4aAMCDWT/i1a0bDhnchZkVjYOang3KMHf/TZIMRjaeDWFQ8wrZFwQG1hrI+uvruRx5mYsRF1lxeQWDag2y+lieeI8h4SseM+nBWrDt37/f1IPnzTfftKrsyJEjTWWPHTtm+nt+92A17w1l6U9G5syZo7i5uWVb1snJSbl69WqmMVjS8+nhw4dKq1atstxPrVq1lKCgIKufD4PBoJQoUUIBlIULF1pdPiPmPbss+cnodU41e/ZsxcnJKdOyHh4eyrp16/Ik7lRnz55VnnrqKYti7969uxIREZGujtu3b5t6Xnbq1Mmq/X/99dem+letWmX6e0HpwRoeHq44Oztne87kRQ9WRUk5R82vFxn9eHt7K9u2bcvR8Zhfc7L6admypRIeHp5hHceOHVPKlStn9bluzfUsKSlJ6dixY6Z1u7q6Kn/++WeWddqqB+vkyZOzvC54eXllegeEJbFotVqld+/eFr2Obdu2TVc+v3uw3rx509QzfeXKlRbvIy/Yy+chIcxJTzgh7I+0W2EueMwYUy/We99+l6M6zt2NUipM3KhUmLhReSFgv1VlT947aerF2nxpc+Ve3L0cxVDYWJNfy3rmECFEnkvtoQcp469aw3x783rsxeuvv86NGzf49NNPadWqFT4+Pjg6OuLu7k716tXp06cPv/zyC3fv3qVq1aq52lexYsXYu3cvixYtonPnzvj6+qLRaChevDht2rRh9uzZnDp1Ks2kWJY6fPgwDx48QK1W07Vr11zFmR9GjRrFiRMnGDFiBFWrVsXV1RUPDw/q1avHhAkTuHLlSpaTf+VE3bp1OXjwIJs2beLVV1+lZs2aaWa0TzV9+nTWr19P0aJF061bsmSJaZbwwtY2ihcvbppMaNmyZfm+P7VaTUBAAHv37mXQoEGUL1/eNAZtgwYN+PDDD7l69SodO3bMUf0DBgxg8+bNjBkzhqeffppKlSrh5uaGk5MTZcuWpUePHixdupR9+/ZlOtla48aNuXz5MrNmzeK5556jZMmSODo64uHhgb+/P2+88QY7d+7Mce9VSOkJvWnTJmbNmkWTJk1wc3PD1dWVqlWr8tZbb3HixAlefPHFHNef36ZMmcLWrVt5/vnn8fX1xcnJiYoVKzJy5EjOnz9P69atc1y3p6cnq1evZt++fbz22mvUqFEDT09PHB0dKVasGE2bNuW1115j48aNNpl8448//kBRFEqXLp3n1yshhBBCiIKmxPtjUf17F17EwoUkBd+1uo46pb2p6Zdyp9yJ21HcDI+zuGyDkg3oUy3lf6o4fRzfHrX+LqknnUpRFMXWQYi8lTrJVXh4eI4muapYsWKBntRBKQSTXAn79uGHH/LVV1/RsmVL9u3bZ+twCrxjx47Rtm1b4uPjKVWqFAcOHMhRYtveHTlyhJYtW+Lg4MDVq1efyOdA2A9bvtcajUbq1KnDlStXmDZt2mMdEgcwDVtTrly5Av15SAhzMlmOEPZH2q14VPj3M4iaPx8Ajy5d8Pv6K6vrmHsgiOlbrwAwsnVlxrS3vONSVGIUvTf2JioxCoCf2v5Ei1ItrI6hMNFqtfj4+BAdHZ1tfk3GYC1EAgICCAgIwGAwALB9+/Y0Mwlnx9HRET8/P2JjY0lKSsqvMPNMTEyMrUMQT6j169cDKbPcWzWr4BOqevXq/PrrrwwdOpTQ0FA6derE1q1bKVasmK1De6xq1apF9+7d2bBhA5999hkzZsywdUhCZMsW77WrVq3iypUrFC9enMGDBz/262xSUhIJCQns3buX5OTkx7pvIXLLFj3OhRC5I+1WpFJXqEBFd3cc4+KI3bKFXZUroStf3qo63JJAhQMKKpYfvk61xCuorfiuvK26LWtZC8DHf3/M255vo1E9uV8AxMfHW7yt9GAthKQHqxD5JykpienTp6MoCsOGDZNeiBZSFIVp06bxySefANCiRQsCAwOt+hKoMLh8+TL16tVDrVZz9erVHE/kJkR+s9V7raIo1K9fn/PnzzN79mxGjBjx2PadSnqwCnskPeGEsD/SbkVGopcv58EX0wBwadCAMosWWv1Z7LVFJ/j7ajgAS15pQvNKlndsMSpGXtvxGqcenAJghP8IXvd/3ar9FybSg1UAKWPPWXOhNhgMqFQq1Go1anXBHZ43dYzG1FiFeJxcXFyYMmWKrcOwO0ajkdGjR+Pj48O9e/cAOH78eK7GkLRHtWrVYt68eVy/fp3g4GDKW/mNtBCPi63ea0NCQujbty8DBw7krbfessn7vFqtRqVSWf05SoiCQM5bIeyPtFthrviAAUQvX0HS9evoTp1Ct2sXXp07W1VHnyblTAnWv06H8XR1X6vKf/zUx/Tb0A+DYmDu+bl0r9qdcl7lrKqjsLCmbUqCVQghxGPz5ptvPvFfjAwePNjWIQhRYJUuXVq+xBJCCCHEE0vl6EjJ8eMIfivlLp77336Hx3PPof53AixLdKzti6ezIzGJyWw+G8pnPevi6uRgcfnqRaszuPZgFpxfQJIxiS/++YKf2/0sdxBn48n+L1cIIYQQQgghhBBCiALCo3Vr3Fs+BYA+OJjIxUusKu+iceD5eqUAiEsysO18mNUxjKg/Al+3lJ6vB+4eYMftHVbX8aSRBKsQQgghhBBCCCGEEAWASqWi5IQJ8G+P0fBffiE5MtKqOno3+m+uh9Ungq2OwU3jxgfNPjAtT/9nOnH6OKvreZJIglUIIYQQQgghhBBCiALCpWZNvPv0BsAYE0P47ACryjetWJRyxVwBOHAtnLBondUxtCvfjmfKPAPA/fj7/HTqJ6vreJJIglUIIYQQQgghhBBCiAKkxDvvoHJzAyBy+XISb9ywuKxKpaJ3w5RerEYF1p26a/X+VSoVk5pPwtnBGYClF5dyOeKy1fU8KWSSq0JMr9ej1+ut2l5RFIxGo2n24IJIURTT74IcpxDiP9JuhbAvT3KbNRqNKIqCXq/HwcHyCSGEsKXUz/zWfPYXQtiWtFuRraJFKTp8OBEBAWAwEPb115T+8UeLi3ev58sPO68CsOrYHV55qpzVE1X5ufjxap1X+enMTxgUA1MPTWVuh7moVU9Gf01r2qdKSf0ELexeQEAAAQEBGAwGrly5wrJly3D799sOSzg6OuLn50e5cuVwsmKGOiGEEEKIwiIpKYk7d+4QFhZGcnKyrcMRQgghxBNMlZRExW++RaPVAnDn9ddIqFrV4vI/nHPgRkxKUnWcfzLlPKyPIVlJZnbMbMKN4QD0cu1FE+cm1ldkh+Lj4xk4cCDR0dF4eXllua0kWAshrVaLt7c34eHh2Z4A5nQ6HXfu3KFixYq4uLjkY4S5oygKMTExeHp6Wv3tixDCNqTdCmFfnuQ2q9PpCAoKoly5cgX685AQ5vR6PYGBgXTo0AGNRmPrcIQQFpB2KyylXb+e+//7CACnmjUpt/wPVBbeZbPiWDAf/XUBgCEtyvPx8zVzFMORsCOM2DUCAG8nb9Z0W0NRl6I5qsueaLVafHx8LEqwyhABhZhGo7HqQm0wGFCpVKjVatTqgtvdO/VWxdRYhRAFn7RbIezLk9xm1Wo1KpXK6s9RQhQEct4KYX+k3YrsFHvhBbRLl6G7cIGkS5eI37SZIv9OgJWd7g3K8tmmSyQlG9l4NoyPu9dB42D9Z7unyz1Nl0pd2HJzC9FJ0QScDeDTlp9aXY+9saZtPlmfmIUQQgghhBBCCCGEsBMqtZqSEyealh/MnIkxPt6ist6uGjrW9gUgIi6JPZcf5DiOCU0n4KFJGWNgzdU1nLx/Msd1FUaSYBVCCCGEEEIIIYQQooByb94Mj3btAEh+8ICHc+dZXLZPo7Kmx2tOBOc4Bh9XH0Y3HG1annp4KslGGa8+lSRYhRBCCCGEEEIIIYQowEqOGwuOKSN9Ppw3D/29exaVe6aaDz4ezgDsvHifqPikHMfQv0Z/ahWrBcDVyKssvbg0x3UVNpJgFUIIIYQQQgghhBCiAHOuVImiAwYAoCQk8GDmDxaVc3RQ06tBaQCSDEY2nAnNcQwOagc+eeoTVKRMgvrTqZ8IiwvLcX2FiSRYhRBCCCGEEEIIIYQo4HxGjkD972z20evWobtwwaJyvfNomACAuj516VejHwDxyfF8ffTrXNVXWEiCVQghhBBCCCGEEEKIAs6xaFF8RoxIWVAU7n31NYqiZFuudmkvapVKScyevB3F9QexuYpjdMPRFHMpBkDgrUD2392fq/oKA0mwCiGEEEIIIYQQQghhB4oOGoimfHkA4o8cIXb3HovK9WlUxvR47Ym7uYrB29mbcU3GAVC7eG1TsvVJ5mjrAET+0ev16PV6q7ZXFAWj0YjRaMzHyHIn9duZ1FgFLFiwgFdffRWA69evU7FixTTrhw8fzqJFi6hQoQI3btywQYTiSSftNkVSUhL+/v5cu3aNFStW0Ldv38e278qVK3Pr1i2GDBnC/Pnzc1xPdtcbUbB9+umnfPbZZwAYDIZMt8uuzT733HP8/ffftG7dml27duVPsFbo1q0bW7Zs4eOPP2bKlCm5qstoNKIoCnq9HgcHh7wJUIh8lvqZ35rP/kII25J2K3JMpaL4e+8S9v5YAO59/RXOLZqj0miyLNa1Tkm+3HIJg1FhzYlgRrephFqtynEYncp1wuFpB54r+xwOaodCeS5bc0ySYC1EAgICCAgIMP3DtH37dtzc3Cwu7+joiJ+fH7GxsSQl5XxWucclJibG1iHkuQMHDtCtWzfT8tatW2nevHm25XQ6nelxbGwsWq02zfrUi4LRaEy3TuSdI0eO0LlzZ9RqNVeuXKF48eIWl42OjubEiRMcP36cEydOcPLkScLCUgYLb9WqFRs3brQ6nuPHj7Ns2TL2799PaGgoRqOREiVKUK1aNVq3bk3//v3x8fGxut6sBAYGsmnTJg4fPsy9e/dISEjAx8eHypUr06FDB/r164evr6/V9d6+fZsGDRqYkj5z5szhxRdftKhc/fr1TcsqlYpTp05R/t9vfLPSpEkTrl+/bloOCAhg4MCBVsdubtasWVy7do1atWrRoUOHx9oeU5Nker0+V/vN7nojCrbExETTY0teu8zea5OTk02/C8I5MGbMGLZs2cJ3331H//79KVOmTPaFMpGUlERCQgJ79+41HacQ9iIwMNDWIQghrCTtVuSIolC2YkXcgoLQB93i0KefEtWyZbbFanipuRClJiRax48rtlLNO/vhBbKz7dy2XNdRUMXHx1u8rSRYC5FRo0YxatQotFot3t7edOzYEa9/Bz+2hE6n486dO3h4eODi4pKPkeaOoijExMTg6emJSpXzb1sKolWrVqVZXrNmDR06dMi2nPnr5eHhke511/z7TZZarbbqnBDW2b17NwBPPfUUlSpVsqpsw4YNCQoKynCdo6OjVa9bYmIio0ePZt68eenG44mLiyMoKIjAwEBq1apFr169rIozM+fPn+fNN9/k0KFD6dbdvXuXu3fvsm/fPr7++ms++ugjxo0bZ1X7Xbt2bZpjWbVqlakXZVY8PDzSLCuKwoYNG5g0aVKW5Q4fPpwmuQop7Sw37ScmJoZZs2YB8PHHH+Pt7Z3junJCrU4ZFUij0aQ7jqCgIKpUqQLA3LlzGTZsWKb1ZHe9EQWbs7Oz6XFWr11277WOjo6m3wXhHGjXrh3t27dnx44dzJ49m4CAgBzXpdPpcHV15dlnny3Qn4eEMKfX6wkMDKRDhw6mz31CiIJN2q3ILV2FCgQPSOkA4vf3XppPmIBDNp/LlHJhvPfnGQBCnMvxbte6+R6nPbOmI4EkWAsxjUZj1YXaYDCgUqlQq9Wmf8QLotReWKmxFhYJCQmsXr0aSElaxMbGsnLlSmbNmpXmH+KMmD8PGb1+5v8cF6bnrKBJ7WXavXt3q59n8+Shr68vTZs2TdNr1dL6kpKS6NOnD1u2bAFSbuMdNGgQNWvWxMXFhZCQEA4ePMiqVavyrK3v27ePHj16EBUVBUDjxo0ZOnQo9erVw8PDg7t377JlyxYWLVpEbGwsH3zwARcuXGDevHkW3367ZMkS4L+2sXPnTu7du0epUqWyLGd+fC4uLuh0OpYsWcL//ve/LMstXbo0TZnUunLzfP366688fPiQ8uXL079//8feFjNL4EP215CcbisKHkvfD6x5ry0o58C4cePYsWMH8+bN45NPPsn2+pAZtVqNSqWy+nOUEAWBnLdC2B9ptyKnNA0b4tW9O9oNGzBGRRE9dx6+E8ZnWaazf2k8118gRpfMtvP3+PwFf9ycJDWYGWvaZsH4RCyEYO3ataZbMVN7uUVGRrJhwwZbhiUsdPPmTc6fPw+kJFit9fbbb7Nq1Spu375NWFhYjl/3zz//nC1btqBSqfj555/ZuXMnr7zyCi1btqRRo0Z069aNadOmceXKFZ5//vkc7cNccHAwvXr1IioqCpVKxTfffMPRo0cZPXo0rVu3pnHjxvTo0YOAgAAOHjxIvXr1AFi0aBGffvqpRfs4ePAg165dA2DGjBk4ODhgMBhMSVBL9ejRA4BLly5x7NixTLfT6/WsWLECgJ49e1q1j8wYDAZmz54NwIABAwpMQkqIwqR9+/aULFmSpKQkfv31V1uHI4QQQgiR70qOeQ/Vvx2yIhcvJunOnSy3d9E40K1eypfQcUkGtp0Py/cYnxTyH54QBcSiRYsAqFevHsOHD6dGjRpp/i4KttSEaOXKlaldu7bV5ceNG0efPn0oV65cjmO4ceMG06dPB2DkyJG89dZbWW6fF9+Uv/HGG0RERAAwderULG/9r1ChAtu2baN06dIATJs2jZMnT2a7j9Q24OPjw9ChQ2nXrh0AixcvtirWWrVq0aRJk2zLbt68mYcPH+Lk5ET//v2t2kdmAgMDufPvh51BgwblSZ1CiLQcHBxMbXb+/PnphkgRQgghhChsNKVLU+zf4b0UvZ77332fbZnejcqaHq85cTe/QnviSIJViAIgNDSUHTt2APDyyy+n+b1161YePHhgs9hSVaxYEZVKZfFPZq5du8aYMWPw9/fH29sbV1dXKleuzLBhw7LsVbhnzx5T3Xv27MFoNDJv3jzatm2Lr68varU63biRRqORJUuW0LVrV/z8/HBycqJEiRK0bduWn376KU8nc0u9nd98krLHbc6cOej1etRqdbZjjOaF06dPm4Yi8Pf354MPPsi2TMmSJfn++5Q3fYPBwDfffJPl9omJifz5558A9OvXD41Gw+DBgwE4c+YMp06dsirm1LLLly/PdPKa1IRut27dKFq0qFX1Zyb1GKpVq4a/v3+69QaDAW9vb1QqVabP45QpU0xtILOxc5cvX27a5tKlS2nWpbbhR9uJSqVKM2bw8OHD07XnrGZlNxqNzJkzh5YtW1K0aFHc3d2pV68eX3zxhVWDwmdm165dDBgwgEqVKuHq6oqbmxsVKlSgRYsWjBs3LtsZ7M+dO8fo0aPx9/enaNGiaDQa/Pz8aN++PV9//TWhoaFptg8KCjId94IFC4CU8bC7du1K6dKlcXR0pE2bNmnKHD58mI8++og2bdqYrjVeXl7Url2bESNGcOHChSxjHDZsGCqViooVKwIQFhbGuHHjqF69Om5ubpQpU4Z+/fqZesmbx/rOO+9QvXp1XF1d8fX1ZdCgQenGD85KVFQUkydPpk6dOnh4eFCsWDHatm3LH3/8YXEdWQkLC+N///sfTZo0oVixYjg7O1OuXDn69etnet/LSE5eB4A+ffoAKRPcHThwIE+OQQghhBCiICv++us4/DvBcszWrcSfOJHl9k0qFKV8sZQJ0fdfCyc0OiHfY3wiKKLQiY6OVgAlOjraqnIJCQnKhQsXlISEhHyKLG8YDAYlMjJSMRgMtg4lz3zzzTcKoKjVaiU4OFhRFEW5ceOGolKpFED54Ycfsiw/f/58BVAA5ebNm+nWDx06VAGUChUq5DjGChUqmPZhyU9mx6nRaDIto1KplI8//jjDsrt37zZtt2XLFqV9+/bpyg8dOtS0/cOHD5VWrVplGWOtWrWUoKCgHD8nqbRareLk5KQASmBgYK7rS5UaZ+vWrS3avvL/27vvsCiutg3g99I7FlCwIfaKJWrsoMbeFTX2kmJNooklmjdBE5MYY9QklqhfLNiiYtfYA6LGhr1XQBBRKdLLsjvfH7w77yxsF1jQ+3ddXM7unHPmmdmZcXk4c061agIAoVmzZuJ7SqVSiImJER49eiSkpqYWWGyCIAjTpk0TY1y1apXOstLrNicnR6hYsaIAQLCyshKSk5O11tuxY4e4jX///VcQBEFITU0VHB0dBQDCtGnTdG43PDxcrB8QECA8f/5csLKyEgAIBw4cyFc+ISFBsLW1FQAIu3fvVjvv1q1bp/+gaFG1alUBgDBy5EitZXr06CEAEN59912N6/38/MRYSpcurfEeOGHCBAGAUL58+XzrVNew9DoRBEHnNSI9dirS+82tW7eETp06aa3XokWL1zrvpk6dqje2smXLaqybk5MjTJs2TbyPavvJezyk58zatWuFkSNH5qsjvSalx0Pbj6WlpbB8+XKt+ym9R1+9elXw8PDQ2I6jo6Nw6tQpQRAE4cSJE4Krq6vGcqVLlxZu3rypcVsBAQFiucePHwvVq1fXGnf//v2FrKwsje34+vrqvT9t2rRJvFa1/XzwwQeCXC7PV9fYz0ElLS1NsLS0FAAIc+bM0RqbLiXl+xCRVHZ2trBnzx4hOzvb3KEQkYF43VJBSvhrm3C7dh3hdu06wuNBgwWlnnzJkmP3BK9ZBwSvWQeEFcEPiyjKkseY/Bp7sBIVA6rHlf38/FCxYkUAgLe3N1q3bg2geAwTcPToUdy4cUPrz86dO8VHzqtUqZKv/s8//4wZM2ZALpfDx8cHK1euxPHjxxEWFobNmzejVatWEAQB3333nTgGrTazZs3C8ePH0adPH+zatQuXLl3C33//je7duwPI7Q3Yq1cvsfeSr68vduzYgbCwMOzbt0/s/Xfnzh106tQJqampr3Vsjhw5guzsbLi4uMDX1/e12jLVy5cv8fjxYwC5vUmzs7Mxb948VKhQARUqVED16tXh4uKC1q1bY9euXQWyzdDQUHHZmHFnLS0txfFfc3JycO7cOa1lVed+9erV0apVKwCAo6Oj+Blu2bIFCoXC4G2XK1cOXbt2BaB5mIDt27cjKysLZcuWRY8ePQxuV5fo6GhxgqnmzZtrLafqjXfp0qV852RWVpbacUpMTMT169fztRESEgIARp2HN27cwJEjR8TX8+fPz3d9T5o0SWPdjz76CMHBwRg9ejQOHjyIS5cuYffu3eJndeHCBcyfP9/gWKQOHDiApUuXAoB4zwgJCcGVK1cQHByMZcuWoV+/flonAfz444+xZMkSCIIAT09PfP/99wgODsbly5dx5MgRfPfdd2jUqJHOGJYuXYqNGzeiXbt22LJlC8LCwnD8+HGxJzSQew6XLl0aY8aMwdq1a3Hq1ClcvnwZBw4cwLfffgs3NzcoFApMmTJFb2/b9PR09O/fH9nZ2fjhhx9w5swZnDt3DnPnzoWNjQ3S0tIwcuRIPHz4EP369YOzszN+/fVXnDt3DqdPn8a0adMgk8mQmJiIDz74QO8xHjJkCMLDwzFhwgQcP34cFy9exJ9//olatWoByB0bfObMmXrb0WT79u0YOXIk0tLSUK1aNSxevBiHDx/GpUuXsHPnTvH6+vPPP/Vuw5DPQcXBwQH169cHAJw8edKk2ImIiIhKmlIDB8C2Zk0AQOb160j++5DO8gOaSIcJiObQSgWhsLO9VPTYg7VkuXLlilovHamVK1eq9RTTpih6sOqSmJgo1KpVS+xhdeXKFbX1t27dEnuuBgQECEqlMl8bCoVCGDFihABAcHJyEhISEtTWS3sSAhD+85//aI1n2bJlYrlRo0Zp3N6cOXPEMjNnzjRtx/9r1KhRAgDB39//tdrJCzp6aeUVEhIilp88ebLQsmVLnb3GJk6c+NrxqT5TDw8PvWXzXrd//PGHGMuCBQs01nnx4oW4jW+++UZt3aFDh8T6Bw8e1LrdvD1YBUEQtm3bJgAQ7O3t890nVb2eJ02aJAiCUCA9WFXbAyD2PtTk/PnzYrlDhw6prTt58qQAQHB1dRXat28vABCWLFmiViY2Nlasv2LFinzta+vBKgjqx0nffubtsblx48Z8ZTIzM4UGDRqIPUw19VDUR9Vj0cvLS0hJSdFaLj4+Pt97e/fuFeNr1aqVkJiYqLX+kydP1F5Lj4Wue4hKdHS0kJaWpnX9q1evBB8fHwGA0LZtW41lVPdoAIKbm5vw8GH+XgTS+5q7u7tQs2ZN4cWLF/nKzZgxQyx3+fLlfOulPVgBCFu2bMlXJjk5WWjUqJEA5D5ZcePGjXxldPVgffnypdi7dty4cVo/f9V92MLCQrh7967aOmM/B6mxY8cKAAQHBweD60iVlO9DRFLsCUdU8vC6pYKWEnpK7MV6v0MHQaHnu8yglf+KvVivRSUWTZAljDH5NStjE7JEADDkwBDEZcSZbfuCUoDMQvs4nwXFzd4N23ptK9RtqHro2dvbi2PHqQwePBifffYZsrOzERgYKE5gVJzk5ORg0KBBuH//PmQyGQIDA9G4cWO1Mr/88gvkcjmaNWuGgIAAjWO0WlhY4Pfff8eOHTuQmpqKoKAgfPTRRxq3WatWLZ1jQi5fvhwA4O7ujmXLlmnc3rx587Br1y7cvXsXa9aswbfffqu1J5wuSqVSHIfUmF6cBU010RSQ2yMsMzMTLVq0wIIFC9CyZUtkZWXh0KFDmD59OmJiYrBy5UrUqVMHn376qUnbS0pKglwuBwB4eHgYXb98+fLiclyc5nvJ1q1bxW2oxiRW6dy5Mzw8PBAbG4vAwECjepv26dMHrq6uSEpKws6dOzF27FgAuZOEqXo9a+oZZ6ro6GhxuVy5clrLvfPOO3B2dkZKSgpCQkLQrVs3cZ2qZ2rbtm3RokULhIaGIiQkBFOnThXLSHvrFVVP6gEDBuT7bADA1tYWU6ZMwYQJExAfH4/bt2/Dx8fHqLZjY3NnNG3atCmcnJy0litTpky+91T3SgcHBwQFBaFUqVJa6+uaWK5UqVJa7yEqqqcOtHF1dcW3336Lfv364fTp04iPj0fZ/46Rpcl3332H6tWr53t/3LhxmD59OjIzM/Hy5UsEBgbC3d09X7mJEyeKYxufOnUKTZo00bqtXr16YejQofned3Z2xh9//IFWrVpBqVTijz/+wLJly3Tup9TKlSuRlJSEihUrYsWKFbCy0vx1c968ediwYQOePn2KwMBAfP/99xrLGfI5SKmus/T0dMTGxsLT09Pg2ImIiIhKKqd2beHYrh3STp1CTswzJARuhNvHmn+nBoABTSviQkTu75G7Lj+FT6VSRRTpm4lDBJBJ4jLi8CL9hdl+Xma+LJLtFHYSOScnB1u2bAGQm5xzcXFRW1+mTBkxcbR582YolcpCjccUU6dOFScqmTdvHgYMGJCvzP79+wHkTj6i6xfkUqVKiRMAnT17Vmu5IUOGwNLSUuO6mJgY3LlzB0BugtrZ2VljOSsrKzGxlpiYiMt6BgLX5ty5c3j58iUsLCwK7JFyU6SlpYnLmZmZaNCgAYKDg9GhQwfY29ujVKlSGDp0KEJCQuDo6Agg9/MydRKilJQUcVlX8ksbaZ1Xr15pLKP640OLFi1Q87+Pu6hYWlri/fffBwDs27cPycnJBm/bzs4O/v7+ANSHCdi0aROA3ImoWrZsaXB7+kgnqdM1aZalpSXatGkD4H8JVRVV8tTPz08cSiA0NFTtnqAqU65cOdSrV68gQtdr+PDhWte988474rJq+ApjqJJioaGhRk3aFB8fLw6nMGTIEFSoUMHobav07t1b6z1Em7S0NERERODWrVu4efMmbt68KQ6fAuRODqeNTCbD4MGDNa6zt7cXr4PSpUuLQ13k5e3tLcas77ir7oGatGjRAnXq1AEAnZNRabJv3z4AuQlcXX+4srKyEoeT0HXPN/ZzkCbdVYl6IiIiordB+ZkzAIvcVF/8qlXIiY/XWraHjydsrXLL7rsWg+yc4pdvKEnYg5VM4mbvZtbtF2UP1sJ05MgRPH/+HED+HnoqI0aMwJ49exAdHY3g4GB06tSpwLYvl8tx7949retr166tlhjI648//hB7iw4ZMgRff/11vjKRkZFigmn27NkGz26v65diXT3hbt68KS6/++67OrchXX/z5k3xF31jqJLHrVq1gpub+a4LOzs7tdfffvstHBwc8pWrWbMmJk6ciEWLFiEhIUEcyxbITQyFh4dr3UaDBg3EZWmyw5QxbKV1NCVgbt26hUuXLgHQfW0sXboUGRkZ2LFjh0FjTqqMGjUKf/75J0JCQhAVFYXKlSuLydaC7L0KqPcu1pVgBXITqKpxKlNTU+Hk5ITs7Gwx+eTn54eGDRvC3t5eHIdV1WNclZRt3759gcaviyoBp4k0ySVNyBtq1KhRCAwMRHx8PBo0aIC+ffuia9euaNeuHWrUqKG13tWrV8UxpNq1a2f0dqUM7XUbFxeHxYsXY+fOnXjw4IHOMay09dgGADc3N409clVUPXFr1Kih949VKSkpeo+7rjGBgdwk+d27d3H//n1kZ2fDxsZGZ3kgdwzsq1evAgBWrVqFVatW6a0DmH7P10R6nUn/+ERERET0prOtWROlBg3Cq23boExLw8vff4enlqc/Xeys0aW+B/Zfi0FCWjZC7r1Al/rGP51IuZhgfYPJ5XLx8VpDywuCAKVSqben5NYeW183PJMJgoCUlBQ4Ozsb/Ljg6yjMXqMbNmwAAJQtWxZdunTRuK0ePXqgVKlSePXqFTZs2IAOHTrojFHT5yf9ZV+6LioqSuwxqsmjR49QtWpVjeuCg4PxySefAACaNWuGP//8U2P8pvYeSk9Pz7dfKq6urlo/F2nyws3NTefnJ31cOz4+3qTPWpVg7dmzZ6GeK/raVvVKBXJ7wXXs2FFrnc6dO2PRokUAcich6tWrFwDg/PnzOhP40smknJ2dYW1tDblcjtjYWL3xqc5B1T3m2bNn4rqyZcvmq6+6NqysrDB48GCN7Tdp0gR169bFnTt3EBgYqLE3nrSeatsA0KZNG3h5eSEyMhKbNm1C+/bt8fDhQ8hkMgwbNkwsp+/aMoQ0gZyWlqazJ54qIZiTk4PQ0FB069YN586dQ0ZGBlxdXdGoUSNYWlqiZcuWCA4ORnBwMHx8fPDy5Uvcvn0bQO7wALrilB4H6b4Zup/SdXZ2dgYdE7lcbvSx69ChA37//XfMnDkTGRkZ2LZtG7Ztyx2ypWLFiujZsycmTJiQb6KqFy9eiMvly5c3eruG3mtULl26hO7duyNeR+8AqbS0NK33aAcHB53bs/hvbwRDy+Xk5Oj8/0DXPVIQBHEIAkEQEB8frza0h5S0jbi4OOTk5GiNTRtT7/na2lKxtLQ06RwQBAFyuVzr0xJExY3qO78x3/2JyLx43VJhKTVhApL274eQno5X23fAecgQ2GrpoNDXpzz2X4sBAARdikKHWtqHsnobGXN9MsH6Blm+fDmWL18uJkGOHj2qsQebNlZWVvDw8EBqaiqys7MLK8wCY0qPqOIkKSlJTM7Fx8fn64Goye7du/Hjjz+qJdOA3EfCVVJTU/M9Lq26KSiVSrV1+noeamoLyH3sdNCgQcjJyYGHhwc2bNigNaEvrT9z5kz07dtX5zZVHB0d1epKf2HOysrS+kh4RkaG2rKuR8el+5+ZmWnUY+YA8OTJE9y6dQtAbs9CY+sbKicnR2/b0h5brq6uEARBax1p2adPn4rl9A0XkLe9+vXr4+rVq4iNjcWDBw+0Jl+kVNft+fPnxfe8vLzU2lYqldi8eTMAiOeYPqdOncLNmzdRpUoVtfeln3He88bf3x+//PILAgMD8fDhQwC5vZrLli2r8ZiYco4AUBv6IzIyMl+MUrVq1YKTkxNSU1Nx9OhRtG7dGkePHhVjU/XGe/fddxEcHIzjx49j7NixOHLkiNhG06ZNNcapSjLJ5fJ86425FvTdb0xpU5sRI0aga9euCAoKQnBwMM6fP4/k5GQ8ffoUq1evxpo1a/D555/jP//5j1hHeg9IT083ervSuDUdK6ns7GwMHjwY8fHxsLa2xscff4zu3bujRo0aKFWqlJhcj4iIEMdC1XRf0naPzkuVuNR3T9D1WWdlZYnLKSkpaq91SUlJgb29vd5YpEN+jBo1CuPHjzeofRsbG63/P+n7HPKS/gHHysrK6HMgOzsbGRkZCA0NNSlZTGROx44dM3cIRGQkXrdUGEq3bwf3w0cApRJ3v5yNp+M0Dw2lEAAXa0sky2U4cec5duz9G47aH2J96xgzpB4TrG+QyZMnY/LkyUhOToarqyu6dOmSb0xPXTIzMxEVFQUnJyeDkn3mUtQ9WAvLtm3b1BIVhkhNTcXx48fzPcIs/bycnJzyfe6qx/wtLCzU1jVo0ECtV6IhkpKSMHz4cCQmJsLOzg579uzR+ZiwNJnk5ORk8tiW0j8WODg4aD23pRPOpKSk6LwGpL/Ae3p6GnW9AP97JNvb21vvcASvw8rKSm9sTZo0EXuUKpVKneWlSRLpsezRo4dR54Ofn5/4KHBwcDA+/vhjrWWl160gCDhx4gSA3N62nTt3Vov32LFjiImJMTgOVft79uxRS7QB6mO92traqm3nww8/xC+//IK7d+8iIiICADBmzBi1MtLzzs7OzuhzBFA/J3NycvS20apVKxw7dgznzp2Di4uLOJ7oe++9J9bt0qULFixYgLNnz8LJyQkXLlwAkNsj8d1339U6kRyQez/IG4P0OOnbT333G1Pa1MXFxQWzZs3CrFmzoFQqcfXqVezZswfLly/Hq1ev8Msvv6BNmzbiH2+kk1YlJSUZvV1j4j58+LB47ixbtgwffvihxnLSP1pqalPbPTov1WRR+u4Juj5raY/qjIwMrUObCIIgDu8ik8lQpUoVtSECtMUiPT+srKxMvue/zvkj/SJct25do/7YDOR+H7K3t0f79u2L9fchIim5XI5jx46hc+fOOod3IqLig9ctFSZlx454cu06cp49g+O9e/ArVQoOrVtrLHvL8h7+PBMJhSBDtkcDDHpXe4eQt40xf6hngvUNZm1tbdSNWqFQQCaTwcLCQvzlrDhS9cxRxVpSqSbU8fT0xOLFi/WWnzFjBqKjo7Fp0yaMHj1abZ30OGj6/KTJltc5ZgqFAsOGDcPdu3cBAGvXrtWbWKxRo4Y4Y/u///5r8vb17aOKdKy+ixcv5jtWUmFhYWr1jI3twIEDAHInYCnsc1Ff+7a2tmjVqhVCQ0ORnJyMhIQErYkT6TirlSpVMjn2MWPGYOnSpQByZw3/6KOPtD5OK71ud+3ahejoaAC5ycS8s7irrg1bW1usXbtWb3wLFy7ElStXsGnTJnzzzTdq66R1894z6tSpgxYtWuDChQvIzMyEra0thgwZku9cky6bcqykj7A/fPgQTZs21Vm+Q4cOOHbsGC5duoSkpCRx/NUOHTqI22/dujXs7OyQmJiImzdvIjQ0FEDu+Kv6HmnWdO+U1tG3n4Yek4I4dprabNasGZo1a4YBAwaIE2kFBQWhf//+AHLHDZXJZBAEAadPnzZqbF5j41ZNqAcAQ4cO1VpWOoleQd2jDSmn6bOWbuvSpUvw8vLSWFepVIpx16xZU2eiUboNOzs71K9fH7du3SqSe74mDx48AJD7xy9TJuGzsLCATCYz+nsUUXHA85ao5OF1S4XC2hrlPv8cMTNmAADif1kMl7ZtIdPwu4J/syr480wkAGDPtViMaVu9SEMtzoy5NktudoqoBAsPD8eZM2cAAAMHDsT777+v92fgwIEAgH/++QdPnz41S9xffPEFDh8+DACYM2cOhg4dqreOpaUlevToASB32AppQqIwVKhQAXXr1gUAbN++XeswCAqFAuvXrweQ+8i8vqRXXikpKeKs7b179zY94AKkOkcAYM+ePVrL7dq1S1x+nUmAGjVqhO7duwMArl+/jp9//llvnbi4OHz++efi6xn//Q9fJTU1Fbt37waQO1bssGHD9F4bo0aNApCbVNE1E7kmo0ePhq2tLWxtbdG/f39xEqGC1KxZMzE5dfHiRb3lfX19AeT2dl2yZAnS09Ph6uoqPmIO5CafVT0Dd+7cKU7u5ufnZ1KM0uSZoY+Mm1vTpk3F4S6kYy+XKVMGrf/71/nt27cb3RvaGNLHx7VNpqRUKrFmzZpCi+F1qMY61uTixYvi/fq9994zql3VxHl3795VG76iqKj+eFaYTxYQERERFXcuPXvA7r9zrmTdv49Xkt8Dpep6uqCeZ+7TQlejXuHRS+MnMSYmWInMIjAwUJxoxN/f36A6qnJKpVLs4VeU1qxZg19//RUA0K9fP8yfP9/gurNnzxYnGvH39xd7L2qiUCiwefNmnWX0mTx5MgDg5cuX+PTTTzWWmTdvnjgp0EcffaRxJntdjhw5guzsbDg7O4sJMXMbN26cOHFXQECAxsTSyZMnsXHjRgC5Q0S0adPmtba5evVqcdbzOXPmYOnSpVpnUH/y5Am6dOkifrY9e/ZEv3791Mrs3LlTTFQZem0MHDhQ7JUXGBhoVPyTJk1CZmYmMjMzsXVr4UzeZ2NjIyZ6VI/y69K8eXPxkebffvsNANC2bdt8PVNV593vv/8uHnNTz8WyZcuKj38/evTIpDYK2rZt29TGU80rLCwMiYmJAHJ7KkrNmjULQO6j4oMGDUJSUpLWdl7nXlOzZk1xWfUHm7xmz56t1oO1ONm3bx+2b9+e7/3U1FRMnDgRQG5vTkPHUVX57LPPxJ6jY8eOFceq1ubgwYO4fv26UdvQ5vHjx2LCvUuXLgXSJhEREVFJJLOwQPkvZ4mvX/76GxSpmjsFDGj6v2HNdl02/fvx24xDBBCZgSrBVa5cOYN7ELZu3Rqenp549uwZNm7cKCYQisK9e/fEpKWnpydmzZql9xfmBg0aiMsNGzbEokWLMG3aNNy+fRsNGjTAxx9/jI4dO6J8+fLIzMxEREQEzp49i6CgIDx79gw3btxApUqVTIp3woQJ2Lx5M86ePYt169YhMjISkyZNgre3N549e4a1a9eKvTirV6+Or7/+2uhtqIYH6Nq1a4E80nP16lVxPNO8YmNj8yVv/P398z366uTkhN9++w1Dhw5FTEwMmjdvjtmzZ+Pdd99FVlYWDh8+jMWLF0OhUMDKygp//PHHa49jXKlSJezZswe9e/dGUlISpk2bhs2bN2P06NHw8fGBo6MjYmJicOjQIQQGBorJ0wYNGojXgZQqQWptbS32gtOncuXKaN68OS5cuIBt27bh119/VRsrsjjo27cvTp48iQsXLohj0WpjbW2N1q1b4/jx42JiUFPPVD8/P8ybN08sU7ZsWTT871+ojWVlZYXmzZvjzJkzWLt2LZo0aYLGjRuL53aZMmXERHpRmTVrFiZMmIC+ffuiffv2qFWrFhwdHREfH4/Tp0/j999/B5DbSz7v2Ke9e/fGBx98gD///BP//vsv6tWrhylTpqBNmzZwcXFBXFwcwsLCsG3bNjRq1EhrclSfrl27oly5cnjx4gX+85//ICIiAv3794ebmxsePnyINWvW4MSJE2jTpo341EJx0qxZMwwbNgwnT56Ev78/XFxccP36dfz000+4d+8egNw/QkiHXjFE+fLlsWHDBvj7++PZs2do1qwZxowZg+7du6NSpUqQy+WIjo7GhQsXEBQUhMePH2P//v1Gb0cT1fjOVlZW6NWr12u3R0RERFSSObzzDpy7dEHK0aNQxMUh/v/WoNzUqfnK9W1cET8euguFUsDuy0/xRefasLAouXPemIVAb5ykpCQBgJCUlGRUvYyMDOH27dtCRkZGIUVWMBQKhZCYmCgoFApzh2KS06dPCwAEAML48eONqjtp0iSxblhYmPj+unXrxPfDw8Pz1Rs9erQAQPDy8jIp5uDgYLF9Q380Wb16teDg4KC3ro2NjfDgwQOtMQQHB+uNOT4+XmjTpo3O7dStW1eIiIgw+ngoFArB3d1dACBs2LDB6PqaBAQEGHV8NX3OKsuWLRNsbGy01nVychL27NlTIHGr3LhxQ2jVqpVBsffu3VtISEjI18aTJ08ECwsLAYDQtWtXo7a/cOFCsf2goCDx/fDwcPH9gIAAo/dLet6tW7fO6PoqcXFxgq2trcHnzPz589WO2cWLF/OVycjIENsEIPTr109nm15eXgIAYfTo0RrXHzhwQJDJZBo/M+mx03e/UZEee1OOnSpeXT+2trZa287JyRGmTJmidZ9UP3mPh7FxHz58WLCzs9Pavp+fn3Dz5k2dbRp6j/b19RUACL6+vjrL6fqspfeax48fC97e3lpj79Onj5CVlWVyLPv27RPKlCmj93O0sLAQ/vnnH7W6pp4/fn5+AgChZ8+eBtfJq6R8HyKSys7OFvbs2SNkZ2ebOxQiMhCvWyoqWZGRwu0GDYXbtesId3waCdkxMRrLjV13QfCadUDwmnVAOPPgZRFHWTwZk1/jEAFERUz6CLN0zExDSMsb+yh0cfDRRx/h8ePHmDdvHtq0aQM3NzdYWVnB0dERtWrVwsCBA/HHH3/g6dOnqFGjxmttq0yZMggNDUVgYCC6deuG8uXLw9raGmXLloWfnx+WLVuGq1evap3gRZdz587h5cuXsLCwEMeXLU4mT56My5cvY+LEiahRowbs7e3h5OQEHx8fzJw5E/fv3xdnXC8oDRo0wL///ouDBw/igw8+QJ06deDq6pqv3IIFC7Bv3z5x7EypTZs2iZNhvWnXRtmyZTFgwAAAwJYtW/SWlz7qn3f8VRU7Ozu1GdpNHX9VpWfPnjhx4gT69u2LChUqmH2yheDgYPz6668YOHAgGjZsCHd3d3HG+iZNmmD69Om4ffs2xowZo7G+paUlfv/9d4SFheHjjz8We8BaW1vDw8MDXbp0weLFi7Fo0aLXirNr164ICwvDiBEjxOPm7u4OX19frF69GidOnICjo+NrbaOweHt749KlS5gzZw7q1q0LBwcHuLq6on379ggMDMSGDRtgZWX6w069e/dGeHg4Fi1aJD6xYG1tDXt7e3h7e6NXr15YvHgxIiIi0KFDh9fen6dPn4oTvk2aNOm12yMiIiJ6E9hUqYIyw4cDAISsLLxYskRjOekwATsvm2fel5JMJghaBsujEis5OVmctd3FxcXgepmZmQgPD4e3t7fO2YLNTalUIjk5GS4uLoU+czuRJrNnz8aCBQvQunXrYvnYb3ETFhYGX19fpKenw9PTE2fPnjUpsV3SnT9/Hi1btoSlpSUePXr0Vh4DKjlK4v+18+fPx9dff426devi1q1bJg+BUlK+DxFJyeVy/P333+jRo4fZ/0BGRIbhdUtFSZGUhEddukLx3+HFqu7YAfuGDdTKZMoVaP79caRk5sDBxhIXv3oPjrZv98iixuTXSsY3ZiKiYkQ1/mrv3r3NHEnJ0KxZMwQGBsLCwgLPnj1D165dER8fb+6wity7776LAQMGQKFQ4McffzR3OERvlNTUVCxduhRA7iR/rzu+NBEREdGbxNLVFW7/nVcFAJ7/tCDf5MR21pbo5VMBAJCercCRW7FFGmNJxwQrEZERsrOz4e/vj4CAAAwdOtTc4ZQY/fv3x9y5cwHkTprWq1cvpKenmzcoM/jhhx9gZWWFdevWvdbs9USkbvny5YiPj0eLFi0wePBgc4dDREREVOyUHvo+bKpWBQBkhF1CyvHj+cr4v/O/YQJ2cZgAo7zdfX2JiIxkY2ODgIAAc4dRIn3yySdwc3PD8+fPAQAXL15UG2v0bVC7dm2sXbsWjx49wpMnT1CpUiVzh0T0RnB2dkZAQAAGDBjA3qtEREREGsisrVFuxnRET54CAHixaBGcfX0hs7ERyzStUhpeZR0QGZ+OM4/iEPMqAxVK2Zsr5BKFCVYiIioy48ePLzHjORaWkSNHmjsEojcOJ7UiIiIi0s+pY0c4tGiB9AsXII98gsStW1Fm9GhxvUwmw4AmlbDk+H0IArDn6lNM8nu9CajfFm/3b7lERERERERERERvAZlMhnKzZgL/feLn5YqVULx6pVZmQNP/DROw81J0vrFaSTMmWImIiIiIiIiIiN4C9vXrw7VvXwCAMikJcStXqq2vXMYBLbzLAAAevUzD9eikIo+xJGKClYiIiIiIiIiI6C3hPm0qZHZ2AICEzVuQHRGhtn5gU+lkV5yc1xAcg/UNJpfLIZfLjSovCAKUSiWUSmUhRvZ6VN3TVbESUfHH65aoZHmbr1mlUglBECCXy2FpaWnucIgMovrOb8x3fyIyL163ZFZlyqDUmNFI/GMVkJOD2J8XwXPpEnF15zru+MbKAlk5Suy7FoOZXWrCxurt66NpzPUpEziYwhtj+fLlWL58ORQKBe7fv48tW7bAwcHB4PpWVlbw8PBA5cqVYSOZRY6IiIjobZGdnY2oqCjExsYiJyfH3OEQERERFQpZVha8f14Eq5QUAEDU+I+RUa2auH7DfQtcjs9Nqn5QWwGfMm9f+jA9PR3Dhg1DUlISXFxcdJZlgvUNlJycDFdXV8TFxek9AaQyMzMRFRWFqlWrwu6/XcWLI0EQkJKSAmdnZ8j+OzAzERVvvG6JSpa3+ZrNzMxEREQEKleuXKy/DxFJyeVyHDt2DJ07d4a1tbW5wyEiA/C6peIgefduvPgmAABgW68eKm3dAplFblL11IM4jAu8DADoXLccVgxrbK4wzSY5ORlubm4GJVg5RMAbzNra2qgbtUKhgEwmg4WFBSwsim/Xb9WjiqpYiaj443VLVLK8zdeshYUFZDKZ0d+jiIoDnrdEJQ+vWzKnMgMHImnzFmTdu4es27eRcfiwOAFW+9rlUc7ZFi9SshBy/yVSswWUdny7nnY25tp8u74xExEREREREREREWSWlig/a6b4+sWSpVBmZAAArCwt0K9J7mRXcoWA/ddjzBJjScEEKxERERERERER0VvIsXVrOPn6AgByYmORsH69uG5g00ri8s5L0UUdWonCBCsREREREREREdFbqtzMGYClJQAgbs3/IeflSwBAbQ9n1K+QO/botegkPHyRYrYYizsmWImIiIiIiIiIiN5SttWro/SQwQAAIT0dL3/7TVw3QNKLddflp0UeW0nBBCsREREREREREdFbzG3KFFg4OQEAXu3chcx79wAAfRtXgKWFDACw+8pTKJSC2WIszphgJSIiIiIiIiIieotZlSkDtwnjc18olXjx00IIggA3J1v41XIHADxLysS5x/FmjLL4YoKViIiIiIiIiIjoLVd65EhYV6wIAEj791+knToFABj4Die70ocJViIiIiIiIiIiorecha0tyn3xufj6+U8LIeTkoGOdcnCxswIAHLoZi7SsHHOFWGwxwUpEVML4+flBJpPBz8/vtdoJCQmBTCaDTCZDSEhIgcRGb5aqVatCJpNhzJgx5g7FLCIiIsRrZP369eYOh4iIiIio0Dl37w77Ro0AANmPHuFVUBDsrC3Rq1EFAECGXIHDN2PNGWKxxAQrkRm9ePECBw4cwDfffIPu3bvDzc1N/GXe1ITG8ePHMWbMGNSoUQOOjo5wdXVFrVq14O/vj5UrVyI1NbVA90GhUGDHjh0YMWIEatWqBVdXV9jb26Nq1aro0aMHli9fjqSkJJPaPnnypHg8ZDIZ/v33X4PqSROHMpkMzs7OSE9P11svIyMDrq6uanWZeCwYISEhKF26NCwtLdWOr6afuXPnGtzutWvXEBAQgPbt26NKlSqwt7eHvb09PD090b59e3z++ecICQmBUql8rfjHjBmjN27pz+vWl8lkuHr1qt64goODMXXqVDRt2hQeHh6wsbFBqVKlUKdOHQwfPhybNm0y6NwnIiIiIiICAJlMhnJfzhJfv/ztdyhSUzGwqWSYgMscJiAvK3MHQPQ2K1++fIG1lZiYiLFjx2Lv3r351iUnJ+PBgwfYuXMnWrVqhcaNGxfINk+fPo3x48fj9u3b+dZFRkYiMjIShw4dwrx587Bw4UKjk8YbNmxQex0YGIjWrVsbHWdqair27NmDYcOG6Sy3d+9eJCcnG91+caNK8AUEBBiVrCxJoqOj8emnn2LPnj0QhPyzWMbGxiI2NhanTp3CkiVLULVqVQQEBLwxPTGvX7+OyZMn4/Tp0/nWJSUlISkpCffu3cOWLVvw6aef4quvvsK0adNgYVH8/q46d+5czJs3DwA0fpZERERERFS0HJo0gUuP7kj++xAUCQmIX7UaTT+fhqplHRARn46zj+Px9FUGKpayN3eoxQYTrETFRJUqVVCnTh0cPXrU6LpJSUno3LkzLl26BADo378//P39Ub16dVhaWiIqKgonT57Ezp07CyzeoKAgjBgxAllZWQByH1sfPnw46tSpA1tbW0RGRmLfvn3YunUrXr58ibFjx+LBgwf4/vvvDWo/IyMDQUFBAAAnJyekpqZi+/bt+PXXX2Fra2twnHZ2dsjMzMTGjRv1Jlg3btyoVqe4Kum9ateuXYvmzZtrXV+uXDmd9S9duoTevXvj2bNnAIBKlSphyJAhaNOmDTw8PGBtbY0XL17g+vXrOHz4MEJDQxEREYEJEyYUSIL1yJEjqFChQqHXr1Gjhsb3Dx06hMGDB4u90evXr48hQ4agefPmcHd3R1paGiIjI3H48GHs27cPiYmJmD59Oj744AOUKlXKqFgjIiKMKk9ERERERG8G988/R8qx4xDkciRs2IBSQ4ZgQNNKWHzsPgQB2HPlKSZ30Pw7y9uICVYiM/rmm2/QvHlzNG/eHOXLl0dERAS8vb2NbueTTz7BpUuXYGtri+3bt6NPnz5q65s1a4b+/ftjyZIlUCgUrx33lStXMHz4cGRnZ8PGxgbr1q3Ll7xs3rw5/P398fnnn6N3796Ijo7GDz/8gOrVq2PcuHF6t7F7926kpKQAAH777TeMGzcOiYmJ2L9/P/z9/Q2OtU+fPti+fTuOHTuG2NhYeHh4aCz34sULMbndt29fbNu2zeBtkHG8vb3RoEEDk+o+e/YMPXv2xPPnzwHkXkNz5szRmHTv0aMHvvzyS1y/fh3/+c9/TPrjhSa1atVC1apVzVL/1q1b8Pf3R3p6OqysrLB06VJMnDhRY8/UkSNH4uXLl5g3bx6WL19ucrxERERERPT2salUCWVGj0L8//0JITsbL5csQf+vvsXiY/cB5A4TMMmvusYh0t5Gxe9ZQaK3yLx589CrV6/XGirg9OnTYs/L+fPn50uuSslkMlhZvd7fVZRKJUaOHIns7GwAub0RdfUMbdy4MU6cOAFHR0cAwKeffoqYmBi92wkMDAQA+Pj4YOzYsahdu7ba+4bq0qULPDw8oFAosHXrVq3ltm7dipycHHh4eKBz585GbYOKzkcffSQmV3/66SfMmzdPb49mHx8f7Nu3D2vWrCmKEAuNIAgYPny4OKbqunXrMHnyZJ2P/bu7u2PZsmUICgqCtbV1UYVKRERERERvgLLjx8OydGkAQPLBg3B7ch/vepcBADx+mYZr0abNt/ImYoKVqIRbtmwZAMDV1RVTpkwp9O3t378ft27dAgB0794dw4cP11unVq1a+PrrrwEAaWlpYszaPHv2DMePHwcAjBgxQu3fw4cP4+XLlwbHa2lpiaFDhwL43xAAmqgSt8OGDYOlpaXB7WvSoEEDyGQyvP/++xrXr1+/XpzISNt4uOfOnRPLHD58WG2dn58fZDIZ/Pz81N5XzfiuMm/evHwTJ+l7RH779u3o1KkT3N3dYW9vj9q1a2PmzJlISEjQu9+F7dq1azh48CCA3B7SM2bMMKr+yJEjCyOsInPw4EFcu3YNANC7d2/xmjDEwIEDxT9yGEN1Tmk6b6STyamGrTDm/FFdB6rxVwFonOxL0zAFCoUCGzZsQK9evVChQgXY2tqibNmyaNu2LRYvXoyMjAyt+5T3+nnw4AGmTJmCmjVrwsHBQes29QkODsbo0aNRrVo1ODg4wMXFBQ0bNsSMGTP0/lHp5s2bmD9/Prp27YpKlSrB1tYWTk5OqFmzJkaPHo1z585prJeeng5nZ2fIZDKD7sVnz54Vj+uKFSs0lomNjcVXX32FFi1awNvbG/b29qhcuTIGDx4s3pc1iYiIENtev349AGDXrl3o0aMHKlSoACsrq3z3LCIiIiIq3iydneH2yf/yDM8X/ISBTSuKr3de4mRXKkywEpVg2dnZ4qRWnTt3hp2dHYDc5ENUVBQiIiIKfCxR6cRTU6dONbje+PHjxfjWrl2rs+zmzZuhUChgYWEh9o4dPnw4ZDIZ5HK5zp6omqgSa1euXBGTw1K3b9/G5cuX1cq+Dl9fXwDAyZMnNa6Xvn/9+nWNySdVGSsrK7Rt2/a1Y9JH1TN5yJAh+OeffxAXF4fMzEzcv38fP//8M959913ExsYWehy6SM+9Tz755K17FGXdunXisjHXXlEoyvPnyZMneOeddzBmzBgcPHgQz549Q3Z2NhISEnDmzBl88cUX8PHxwf379/W2tXfvXjRp0gTLly/Hw4cPdSZmtcnMzMTQoUPRsWNHBAYGIjw8HBkZGUhJScHNmzexaNEi1KpVC/v379dYPyQkBA0bNsTXX3+No0eP4unTp8jOzkZaWhoePnyIwMBAtGrVCrNnz85X18HBAf369RP3JS0tTWesmzdvBpB7Xxk8eLDG9TVq1MAPP/yAS5cu4dWrV8jOzkZ0dDR27NiBzp0748MPP0ROTo7O7QiCgFGjRmHgwIE4dOgQnj17ViDD0xARERFR0Ss9eDBsqlcHAGRcvQrfZzdgZ52bTtx/PQZZOfyeBzDBSlSiXbt2TUygNmzYEMnJyZg6dSrc3NxQpUoVeHt7w9XVFZ07dy6wiZFOnToFIPcX+06dOhlcr1SpUmjfvj0A4Pnz53jw4IHWsqqepn5+fqhYMfevY97e3mjdujUA44cJaNKkCerXr6/WtqbtNWjQQGuPUmOoemnFxsbi7t27+dZLPwtBEBAaGqq1TNOmTeHk5GTQdo8ePYobN26IrydOnIgbN26o/WibZOzrr7/Gpk2b0K9fP+zatQuXLl3C33//jZ49ewIAHj58iGnTphkUhz5fffUVvLy8YGtri9KlS6NJkyaYNm2a3oSYNDHdrVu3AomlJFFde46OjmISv7gw5fzp168fbty4gYkTJ4rv5T1fb9y4Id4DACA+Ph5t27bFtWvXYGtriylTpmDHjh24ePEigoODMXv2bDg4OODhw4fo3r07kpK0P7L05MkTjBgxAg4ODliwYAHOnDmDc+fO4ffffzf4mhMEAf7+/vjrr78A5PYs3rhxI86cOYOzZ8/i119/RZUqVZCWlgZ/f3+EhYXlayMnJweOjo4YPHgw/vjjD4SEhODy5cs4fPgwfvnlF3h5eQEAFixYoJZkV1H1XE1LSxP/4KZJTk4OduzYAQDo2rUr3Nzc1NZv374dI0eORFpaGqpVq4ZffvkFQUFBuHjxInbu3IkePXoAAP7880/MnDlT53FZunQpNm7ciHbt2mHLli0ICwvD8ePHS3wvciIiIqK3kczKCuVmTBdfp/y2FN1rlwUAvEqXI/iu4U+YvtEEeuMkJSUJAISkpCSj6mVkZAi3b98WMjIyCimygqFQKITExERBoVCYO5QCFx4eLgAQAAijR4/WW379+vVi+YCAAKFmzZri67w/MplMWLBgwWvFFx0dLbbXsmVLo+t/+eWXYv2//vpLY5krV66IZdauXau2buXKleK6W7duad1OcHCwWG7dunWCIAjCTz/9JAAQKleuLCiVSrGsUqkUKleuLAAQFi5cKAiCIKxbt06sHxwcbPR+Pn/+XKy/cuVKtXWRkZHi59GrVy8BgPDZZ5+plcnJyRGcnZ0FAMLMmTPzte/r6ysAEHx9fTVuX3pO6CI9TgCE+fPn5yujVCqFLl26CAAEKysr4cWLFzrb1ObEiRNaz03Vj4WFhRAQEKD2+UhZWVkJAIRKlSqZFMPrGD16tBjnkSNHhBs3bmj9yc7Ofq36N27cEB4/fqxWX3rttWnTpqh2W/Dy8tJ6Pyqo8ycgIEBsQ59hw4YJAAQvL698x0jl8uXLgqOjowBAmDNnTr71qusHgFChQgUhMjJS6/ak92TVvURq9erVAgDB2tpaOHTokMY2EhIShPr162v97F6+fCkkJiZqjSErK0vo3LmzuN85OTlq6+VyuVCuXDkBgNCzZ0+t7Rw6dEjcly1btuSLwdXVVQAgjBs3TpDL5Rr/r50zZ454rd69e1etDemxAiCMGjVK67Vc3JWU70NEUtnZ2cKePXs0/h9ERMUTr1sqSZRKpRA5dqxwu3Yd4XbtOsKFBb8KXrMOCF6zDggfbrho7vAKjTH5tdeb7YbeWuED/ZETF2e27SuVSrzUMbFLQbFyc4P3zqBC346ppI+W//TTT8jMzES3bt3w7bffwsfHB8nJydi5cye+/PJLJCUl4csvv0SdOnXQt29fk7YXJ/nMPTw8jK4vncwrTsv5o+qdam9vj4EDB6qtGzx4MD777DNkZ2cjMDAQCxYsMHjbw4cPx+zZsxEVFYWQkBB06NABQG5P0aioKLXhCF5XuXLlULduXdy5cwchISGYMGGCuE7VM7VevXoYNGgQDhw4kK938aVLl5CSkgIARdZT8Z133sGcOXPyvS+TyfD555/j6NGjyMnJwdmzZ3VOpKaLh4cHBgwYgHbt2qFatWqwsrLCkydPcODAAQQGBkIul2PevHnIzs7GDz/8oFY3KSlJfCzZ3d1d53aePHmC5ORkjevKlSuHcuXKmRS/SteuXXWuDw8PR9WqVU2uD+R+7tLzIj4+Xlx+3fgLQ1GcPxEREdi2bRuA3LGnvb29NZZr0qQJJk+ejIULF2L9+vVae20Dub1Cq1SpYlI8giDgp59+ApA7eZ+2XtWlS5fGzz//jB49euDMmTN48OABatasKa7P25M0LxsbG/z8889o3LgxIiMjcfXqVbzzzjvieisrKwwZMgS///47jh49ivj4eJQtWzZfO6rhAZycnPL9H7By5UokJSWhYsWKWLFiBaysrKBUKvO1MW/ePGzYsAFPnz5FYGCg1mNbqlQpLFu27K0bxoOIiIjoTSWTyVBu5kyE9x8ACAJcgjahWrc5eCy3RvDdF0hIy0YZRxtzh2lWTLC+weRyOeRyuVHlBUGAUqnU+IuVVE5cHHL+O5O3ueiOsAC3o+dYFNa2VJ+FLqmpqeJyZmYm3nvvPezbt0+cpKls2bL4+OOPUa9ePXTo0AFKpRKzZ89Gr169TPrFV/q4raOjo9HHxsHBQVxOTEzMVz8nJwdbtmwBAPTq1QtOTk5qZUqVKoXu3btj79692Lx5M+bPn69xBnVpHdX57OnpiQ4dOuDEiRMIDAwUE5eqhG6HDh3g6emZ7/w35HrQpH379rhz5w5OnjypVl+VNPP19RWHTLh+/Tri4uJQpkwZtTKWlpZo3bq1zu3rWqfvHJKuGzp0KARBgCAI+co1adJEXH706JFJx6NZs2a4fv06ypQpo3buNW7cGH369MGHH36Ibt26ISkpCQsWLMCgQYPQqFEjsZwx594nn3yCffv2aVz3zTffICAgwOj4NR0XbTSdM8bUl7ajIt1/BweHIr0vAZrPpYI6f6R1dO3XgQMHoFAo4ODggK5du+os27ZtWyxcuBAxMTGIiIjQmES1sbHBwIEDDb5G8n6ut27dwqNHjwAAAwYM0BuPypkzZ1D9v2NYaZKVlYXnz58jNTVVbFM6fumVK1fUjimQe/x///13yOVy/PXXX2rDLgBARkYG9uzZAwDo27cv7Ozs1OJVXS89e/aEtbU1lEql+LlIP3sLCwu0bNkSO3fuxNmzZ/MdH5VevXqZ9H9EcaHaf7lc/tqTHhIVFdV3fmO++xORefG6pZLGsnp1uPTvh+Rdu6FMScG0mFB84t4JOUoBwXdi0aeRp7lDLHDGXJ9MsL5Bli9fjuXLl4u/iB09elQtoaWPlZUVPDw8kJqaiuzsbJ1lZaVLw6KE/uJkDFnp0lp7whUGacJULpcbve2vv/5a4yQnPj4+6N27N/bu3Ys7d+7g7NmzaNCgAYDcxM3Tp081tmdjY4MaNWqIr6WJsVevXhkdn7QXniAI+eofOXIEz/+buO/fv7/G9gcMGIC9e/ciOjoaBw8e1NjDMz09XVzOzMwU2/H398eJEyewc+dOsYfkzp07xXWqctKJwdLT0006B1q0aIFVq1YhNjYWYWFhqFWrFoDcmcZV60uVKgUvLy9ERkbiyJEj4niVqpm6fXx8ACDf9lU9OXNycnTGlpWVpXO99DhVrlxZa1krq//9VxEXF2fyNWFtbS32zM2rTp06+OmnnzBhwgQIgoClS5fi119/FddLk3DJyck6Y9A1AY++Y6KN9D/Wa9eu6e31mHcbxtbP24b02ktKSiqy+5IqQabpflRQ509WVpa4rGu/zp49K27Xxsbwv44/evQIpUqVEl+rzo9q1aohOztb5/93ef+IJY3v9OnT4nKbNm0MjicyMjLffqalpWHVqlXYtWsX7t69q3NCqKdPn+arX7duXXh7eyM8PBwbN24Ux2VV2bVrl7gv/fr1U6uvUChw9epVAMDq1auxevVqg/YjJiZGrR3psapVq1aR/t9Z0LKzs5GRkYHQ0FC9E3oRFTfHjh0zdwhEZCRet1SSWNatC2+bg7DIzkb1f49g8ND6qF7TDVZPr+Dvp1fMHV6Bk/7Oow8TrG+QyZMnY/LkyUhOToarqyu6dOkCFxcXg+tnZmYiKioKTk5O4mzv2rjs2vm64ZpMEASkpKTA2dn5jXv8UDqxirW1td7PT/poqbu7u87Z5nv06CFOgHLnzh1xwqhdu3bhgw8+0FjHy8sLjx8/Fl9LH3uOj4836vwC1HvhVaxYMV99VbKzbNmyGDBgAKytrfO1MWjQIHz22Wd49eoVdu7cid69e+crI/3Dgp2dnbidYcOG4YsvvkBKSgqCg4PFc8nR0RHDhw+Ho6OjWEfalrH7CahPwhQWFoZmzZohOjoaERERkMlk6NatG1xcXNChQwesX78eFy5cwNChQ6FQKHD+/HkAQMeOHTVuW5WwsrKy0hmbra2tzvXS4+Tm5mbQfurbpjaGXLdjx47FzJkzkZycjLNnz6ptx8XFBVZWVsjJyUFCQoLOGPLO1h4SEiJOyKbvmGgjPRednJyMbuN166smOgKgd/8LkqqHuKb7UUGdP7a2tuKyrjYSExMNijkvmUym1q7q+jEkZuk9WXovAaD1jwX6KJVKtXYiIiLw3nvvITw83KD6giBojHvEiBH47rvvcOHCBSQkJKjdr3fv3g0gd3iJPn36qCW9X758aVISMTMzUy0O6bHy8PAosnO0MGRmZsLe3h7t27fX+32IqLiQy+U4duwYOnfurPH7ExEVP7xuqaRKeJWEhOXLIROUmBxzERVm/27ukAqNMZ0GmGB9g1lbWxt1o1YoFJDJZLCwsND42HVxoepRpYr1TSLdH0P2T5p0qVSpks7y0rLx8fFiWX3bkK6vVKkS3NzcEBcXh+vXr0MQBKMen7xy5X9/0apfv75a20lJSWJiLD4+3qBfanfv3o2VK1eKiVFNMUvPZxcXF/Tv3x+bN2/G5s2bxV6R/fv3h7Ozs976xqhQoQJq166Ne/fuITQ0FJMmTRJnga9Xr544Hq2fnx/Wr1+PkydPwsLCAleuXBFv4n5+fkZ9PnnpO4dM2U9TrztDrlsbGxvUqlULYWFhePr0ab5yPj4+uHz5MqKjo5GQkKB37EoVY68rTaRJYVPOidetX7lyZfHau3btmtHX3uvSdNwK6vzJe2y0UZ1Dbm5uYk9wQ3h7e2ts19LS0qjrK+8+Sh9/379/v85xd6XKlSun1s7o0aMRHh4OmUyGsWPH4v3330fdunXh7u4OGxsbyGQyKJVKtc9bU9yqBKsgCNi2bRtmz54NIDchf/ToUQDAkCFD8vX+lfYO//DDD/HZZ5+J+5eamgonJyeN27Oxscl3fFSsra1L9P/PFhYWkMlkRn+PIioOeN4SlTy8bqmkcf/wAyQHBSHn+XOkh5xE9qVLcGzZ0txhFQpjrk0mWIlKsPr164vLuh4pzbte2ntpzJgxGDNmjEHbk8lkaNeuHXbv3o309HScOHECXbp0MahuUlKSmGB0cnJC48aN1dZv375d7dF8Q6SmpmLXrl0YOXKkwXVGjRqFzZs3iwkH1XuFwdfXF/fu3cPJkycB/G9sVT8/P7GMavn69etISEgQy1hYWKBdu3aFEldxpqtXuq+vLy5fvgwAOHz4MEaMGFFUYRUL7du3x65du5CWloaTJ0+iY8eO5g6pSKkmbkpJSUHdunXNPjamdCKpUqVKicOuGOPu3bviUANz5szB/PnzNZaTTmioTa1atdCsWTOEhYVhy5YtYoI1KChIHAYh79ABAMSxn4HcZKtqP5RKJZKTk+Hi4lKik6VEREREVLAs7O3hPm0qnn2Z+33z+U8L4R20A7K3fOx6fmMmKsG8vLzEsRwjIiJ0TqSjmowFyH0831TSZOxvv/1mcL3Vq1cjIyMDANCnTx+1x4KB/0025enpia1bt+r9qVSpklo9Q3Xq1Amenp7IyclBTk4OKlSoID4+XtBUydPY2FjcvXtXTLRKE6xeXl6oWrUqBEFAaGioWKZx48ZwdXUtlLiKq5ycHNy/fx9Abg/gvKSJ8GXLlpk0cVRJNnbsWHF56dKl5gukgBk61ItqYqesrCyEhYUVZkgGkU40debMGZPauHXrlrg8ZMgQreUM3V9VAvXmzZu4fv06AGDz5s0AgOrVq+Pdd9/NV8fGxkb8Y52p+0FEREREbxfXPn1gV68eACDrzh0k7dlr5ojMjwlWohJu4MCBAHLHBjlx4oTWcrt27RKXdY3Vqk+vXr3EX8YPHjyIv/76S2+dhw8f4ttvvwWQm0yZPn262vrw8HDxF/uBAwfi/fff1/uj2u9//vlH6yRdmlhaWmLkyJGwtbWFra0tRo4cWWi9s6QTcG3ZsgUPHjyATCbLNzGXKuH6zz//iL18pUlYY6mGV5BOHlQSbNu2TRynV9PkZY0bN0b37t0BAOfPn8eSJUuKND5z69mzJxo1agQg95H0TZs2GVxX1fO1OJIOB6LrnO3du7eYjC0OCeamTZuKf+hZvXq10T3wAfUJ2XR9Pn/88YdB7b3//vtiz97NmzcjOjpavKdo6r2q0qdPHwC5PWqPHDli0LaIiIiI6O0ls7BAuVmzAEtLlBr6Ppz88v/+9rZhgpWohJs6daqYoPj88881DsK8adMm8dHznj17onLlyiZvz8LCAhs3bhTH8RszZgy2bdumtfz169fRqVMncYbpSZMmqfX8AnJ7oap6I/r7+xsUh6qcUqk0KtEEAD/99BMyMzORmZmJBQsWGFXXGBUqVEDNmjUB/K+3b7169eDu7q5WTpVMDAwMxKtXr9TeM4WnpycA9V7L5pSYmCief9pcuHABU6ZMAZCbhJ84caLGcmvWrBGP3/Tp0/Hdd9/pnAVetf03gUwmw+bNm8XJpcaOHYsVK1aojQWaV1xcHD799FP4+/tDLpcXVahGUZ2vgO5ztnbt2hg0aBAA4K+//sLixYt1thseHo6tW7cWTJAaWFhYYM6cOQCAx48fY9SoUToTxMnJyVi2bJnae6r7AwCsX79eY72VK1eKExTq4+HhIQ4dsXXrVmzZskW8t+pKsH722WfiJFVjx45V61mrycGDB8UeskRERET0dnJ8twVqHDsKz4AAWEmGz3pbcQxWIjM6ffo0Hj58KL6Oi4sTlx8+fJjvF25NY6VWqVIF3377LWbOnIkbN26gRYsWmDVrFnx8fJCcnIxdu3Zh5cqVAHIneSqIXn9NmjTB5s2bMWLECGRlZeH999/HqlWrMHz4cNSpUwc2NjZ48uQJ9u3bhy1btoi9tDp06IBffvklX3sbN24EkDv5i6HjjrZu3Rqenp549uwZNm7ciFmzZr32fhUGX19fPHjwQOyZqalnquo9VRkLCwu0b9/e5G22bt0a4eHh2LdvH1atWoU2bdqISXgXFxeUK1fO5LZNkZSUhE6dOqF+/foYMGAAmjVrBk9PT1haWuLJkyc4cOAANm7cKCZKp0+fjnfeeUdjWxUrVsSBAwfQp08fPH/+HN988w3+7//+D++//z7atGmD8uXLw9bWFq9evcK9e/dw6NAhHDhwQKyvSk6a0/3798U/OOji6empNs4nkDvuclBQEAYPHozU1FRMnjwZK1euxJAhQ9C8eXO4u7sjLS0NT548wdGjR7Fnzx6jZr40h9atW4vL06ZNw1dffQVPT0+xt2rVqlXFcaNXrlyJsLAwPH78GF988QX27t2LUaNGoX79+rC1tUV8fDyuXbuGw4cP459//kH//v0xdOjQQot9woQJOHbsGHbv3o0dO3bg8uXLGD9+PFq0aAFXV1ckJyfj7t27CAkJwb59+2BnZyf+IQHIvZc2aNAAN2/exKpVq5CYmIiRI0fC09MT0dHR2LRpE4KCgtCmTRuDH98fPnw4jh07hqioKPz4448AgGbNmqFWrVpa65QvXx4bNmyAv78/nj17hmbNmmH06NFo3749atWqBYVCgejoaFy4cAFBQUF4/Pgx9u/fDx8fn9c7gERERERUollrGNrtrSXQGycpKUkAICQlJRlVLyMjQ7h9+7aQkZFRSJEVDIVCISQmJgoKhcLcoby20aNHCwAM/tHlyy+/FGQymda65cqVE/79998CjT80NFSoV6+eQbF/8MEHGs+t06dPi2XGjx9v1PYnTZok1g0LCxPfDw4OFt9ft26d0fu1bt06sX5wcLDR9aU2bdqkdhx27NihsZyXl5dYpnHjxjrb9PX1FQAIvr6+GtdfuXJFsLW11fg5jB49WiwnPU769lNVLiAgQGc5TcLDww06RywtLYW5c+cKSqVSb5uRkZFCnz59DL52vLy8hLVr1xrUtibSazU8PPy16hv6s2TJEq3tXbt2TWjTpo1B7ZQtW1b47bffTLpnqs5L6XmjUpDnz+DBg7XGn/d4P3v2TGjXrp1B+z527Nh829J3/UhJz11t95Ls7Gxh4sSJOu+/qh9vb+989a9cuSKULl1aa52GDRsKMTExBl+DycnJgr29vcHnktS+ffuEMmXK6N0PCwsL4Z9//jH6WJUUJeX7EJFUdna2sGfPHiE7O9vcoRCRgXjdEhV/xuTX2IOV6A3x448/ok+fPli5ciVOnTqFZ8+ewc7ODrVq1UKfPn3wySefFPikSe3atcP169exc+dO7N27FxcuXMDz58+RkpKiVm7btm0YPHiwxjakk1SpxlU11MCBA7FixQqxHW29Hs1J+qi/pvFXVfz8/LBhwwZx+XU0btwYZ8+exc8//4wzZ87g+fPnZh2PtUKFCti2bRtCQ0Nx7do1PH36FHFxccjMzISrqytq164NPz8/fPjhh6hatapBbVapUgV79+7F1atXsXPnTgQHByMiIgLx8fEAgNKlS8Pb2xvNmzdHr1690LFjxzdqJnQfHx+cPn0a//zzD/bu3YvQ0FDExMQgISEBDg4O8PT0RLNmzdCzZ0/0799fbZzT4mjTpk1o1qwZgoKCcO/ePaSkpGgd+sDDwwOhoaE4ePAgtm7dirNnzyI2NhZyuRylSpVCzZo10apVK/Tp0+e1eoIbytraGitWrMDEiROxZs0ahISE4MmTJ0hNTYWTkxO8vb3xzjvvoHv37ujVq1e++o0bN8bVq1fx448/4tChQ4iJiYGzszNq1KiBwYMHY/LkyUZ9fs7Ozujduze2b98OIHfc6ffff9+gur1790Z4eDjWrFmDv//+Gzdv3kRiYiKsrKzg4eGB+vXro2PHjvD393+toWaIiIiIiN40MkF4y6ZhfgskJyfD1dUVSUlJcHFxMbheZmYmwsPD4e3tXax/GVcqlUhOToaLi8sblTB50+zfvx/9+vWDUqlE/fr1cerUKZQuXdrcYZGZ8LolKlne5mu2pHwfIpKSy+X4+++/0aNHD1hbW5s7HCIyAK9bouLPmPza2/WNmYiKTO/evcVJaG7duoU+ffqYNMs2EREREREREVFxxgQrERWazz77DJMnTwaQO6HXsGHDdM54TkRERERERERU0nAMViIqVL/++iuqVq0qzpp+48YNNGrUyMxREREREREREREVDCZYiahQWVpaYvr06eYOg4iIiIiIiIioUHCIACIiIiIiIiIiIiITMcFKREREREREREREZCImWImIiIiIiIiIiIhMxAQrERERERERERERkYmYYCUiIiIiIiIiIiIyEROslI8gCOYOgYiIiMgs+D2IiIiIiIzFBCuJLCxyTwelUmnmSIiIiIjMQ6FQAPjf9yIiIiIiIn34zZFE1tbWsLS0RFpamrlDISIiIjKL9PR0WFpawtra2tyhEBEREVEJwQQriWQyGZydnZGcnMzH44iIiOitIwgCkpOT4ezsDJlMZu5wiIiIiKiEYIKV1Li6ukIulyMmJoZJViIiInprCIKAmJgYyOVyuLq6mjscIiIiIipBrMwdABUvDg4OqFSpEqKjo5GRkQEXFxc4ODjA0tKy2PTkUCqVyM7ORmZmJsdHIyoheN0SlSxvyzUrCAIUCgXS09ORnJwMuVyOSpUqwcHBwdyhEREREVEJwgQr5ePs7AwvLy8kJSXh1atXiI+PN3dIagRBQEZGBuzt7YtN0peIdON1S1SyvG3XrKWlJZydneHq6srkKhEREREZjQlW0sjBwQEODg7w8PCAXC6HUqk0d0giuVyO0NBQtG/fnhNQEJUQvG6JSpa36Zq1sLCAtbX1W5FIJiIiIqLCwQQr6SSTyWBjY2PuMNRYWloiJycHdnZ2b/wvfURvCl63RCULr1kiIiIiIsO9uYNqERERERERERERERUyJliJiIiIiIiIiIiITMQEKxEREREREREREZGJmGAlIiIiIiIiIiIiMhETrEREREREREREREQmYoKViIiIiIiIiIiIyERMsBIRERERERERERGZiAlWIiIiIiIiIiIiIhMxwUpERERERERERERkIitzB0AFTxAEAEBycrKZIykccrkc6enpSE5OhrW1tbnDISID8LolKll4zRKVLLxmiUoeXrdExZ8qr6bKs+nCBOsbKCUlBQBQuXJlM0dCRERERERERERUcqWkpMDV1VVnGZlgSBqWShSlUomYmBg4OztDJpOZO5wCl5ycjMqVKyMqKgouLi7mDoeIDMDrlqhk4TVLVLLwmiUqeXjdEhV/giAgJSUFFSpUgIWF7lFW2YP1DWRhYYFKlSqZO4xC5+Liwv+IiEoYXrdEJQuvWaKShdcsUcnD65aoeNPXc1WFk1wRERERERERERERmYgJViIiIiIiIiIiIiITMcFKJY6trS0CAgJga2tr7lCIyEC8bolKFl6zRCULr1mikofXLdGbhZNcEREREREREREREZmIPViJiIiIiIiIiIiITMQEKxEREREREREREZGJmGAlIiIiIiIiIiIiMhETrEREREREREREREQmYoKViIiIiIiIiIiIyERMsFKJkZKSgrlz56Jhw4ZwcnKCq6srmjdvjl9++QXZ2dnmDo+IJNLT03Ho0CHMnz8fAwYMgJeXF2QyGWQyGebOnWvu8Igoj/j4eKxbtw4jRoxAvXr14OjoCFtbW1SqVAn9+vXD7t27zR0iEUlcvnwZ8+bNQ58+fVCnTh2ULVsW1tbWKFu2LNq0aYPvv/8eCQkJ5g6TiPRYsGCB+B1ZJpOZOxwieg0yQRAEcwdBpE9kZCT8/PwQEREBAHBwcIBCoUBWVhYAoEmTJjhx4gRKly5txiiJSCUkJAQdOnTQuC4gIIBJVqJixtraGjk5OeJrOzs7WFpaIi0tTXyve/fuCAoKgoODgzlCJCKJKVOmYPny5eJrOzs7WFtbIyUlRXzPzc0N+/btQ6tWrcwRIhHpce/ePTRu3BiZmZnie0zPEJVc7MFKxV5OTg569+6NiIgIeHp64tixY0hLS0N6ejr++usvODs748qVKxgxYoS5QyUiidKlS6NTp06YMWMGtm7dCg8PD3OHRERa5OTkoEWLFlixYgUePXqEjIwMpKamIjw8HB988AEA4NChQxg/fryZIyUiAGjRogV+/vlnnD17FomJicjIyEBycjJSUlKwYcMGuLu7Iy4uDv369UNSUpK5wyWiPJRKJcaNG4fMzEz+EYToDcEerFTs/fnnn/jwww8BAP/++2++/4C2bt2KYcOGAQCOHz+OTp06FXmMRKROoVDA0tJS7b2qVasiMjKSPViJiqHg4GCtvc4BYMKECVi1ahUA4MmTJ6hcuXJRhUZEJjh69Ci6du0KANi0aROGDx9u5oiISOrXX3/F1KlTMXz4cNSoUQPz5s0DwB6sRCUZe7BSsbdhwwYAQIcOHTT+de/999+Ht7c3ACAwMLBIYyMizfImV4moeNOVXAUg9mIFgLCwsMIOh4heU8uWLcXl6OhoM0ZCRHmFh4fjq6++QtmyZbFkyRJzh0NEBYQJVirW0tPTcebMGQC5Y79pIpPJ0K1bNwC5f60nIiKigmVnZycuKxQKM0ZCRIY4deqUuFy9enUzRkJEeX300UdIS0vD4sWL4e7ubu5wiKiAMMFKxdqdO3egVCoBAA0aNNBaTrUuNjaWM6YSEREVsJCQEHG5YcOG5guEiLTKyspCREQEli1bhpEjRwIAatSogd69e5s5MiJSWbNmDU6cOIH33nsPo0aNMnc4RFSArMwdAJEuMTEx4nLFihW1lpOui4mJQZkyZQo1LiIiorfFq1ev8OOPPwIA2rVrh9q1a5s5IiKSsrOzQ1ZWVr7327Rpgy1btsDW1tYMURFRXk+fPsWMGTNgb28vjmtORG8OJlipWEtJSRGXHRwctJaTrpPWISIiItMplUqMHDkSz549g52dHZYtW2bukIgoDw8PD2RmZiI1NRVpaWkAcsdVXrhwIapUqWLm6IhIZfz48UhKSsJPP/2EatWqmTscIipgHCKAiIiIiDT67LPPcODAAQDA8uXL4ePjY+aIiCiviIgIxMbGIjU1Fc+fP8eiRYtw9epVtGjRAt988425wyMiAJs2bcLBgwfRuHFjfP755+YOh4gKAROsVKw5OzuLy+np6VrLSddJ6xAREZFppk+fLvZYXbJkCcaNG2fmiIhIn3LlyuGLL77A4cOHIZPJ8N1334l/JCEi83j+/DmmTp0KS0tLrFmzBlZWfJCY6E3EBCsVaxUqVBCXnz59qrWcdJ20DhERERlv5syZ+OWXXwAAixYtwtSpU80bEBEZpUWLFmjbti0AYPXq1WaOhujt9uWXXyI+Ph4ff/wx6tSpg9TUVLWf7Oxssaym94ioZGCClYq1unXrwsIi9zS9efOm1nKqdR4eHpzgioiI6DXMmDEDP//8MwBg4cKF+OKLL8wcERGZQjUJ7MOHD80cCdHbLTw8HACwcuVKODs75/tRTSQJQHxv5syZ5gqXiEzEBCsVaw4ODmjTpg0A4PDhwxrLCIKAI0eOAAC6dOlSZLERERG9aaZPn45FixYByE2uzpgxw8wREZGpHj9+DIDDZxERERUFJlip2Bs9ejQAIDg4GOfPn8+3fseOHeIXyFGjRhVpbERERG+K6dOnqw0LwOQqUfGkUCggCILOMidOnMCFCxcAAH5+fkUQFRFpExISAkEQtP4EBASIZVXvLV261HwBE5FJmGClYm/06NFo2LAhBEHAwIEDceLECQCAUqnEjh078NFHHwEAunfvjk6dOpkzVCKSSExMRFxcnPijVCoB5E5KJ30/NTXVzJESkXTM1cWLF3NYAKJiLCoqCk2aNMGqVavw+PFjtWRrVFQUFixYgL59+0IQBJQpUwbTpk0zY7RERERvB5mg78+fRMVAREQEOnTogIiICAC5QwcolUpkZmYCAJo0aYITJ06gdOnSZoySiKSqVq2KyMhIveVGjx6N9evXF35ARKTRkydP4OXlBQCwsLCAu7u7zvLTp0/H9OnTiyI0ItIgIiIC3t7e4msbGxu4uLggIyMDaWlp4vve3t7YuXMnmjRpYo4wichAc+fOxbx58wBAb+90Iiq+rMwdAJEhqlatiuvXr2PRokXYtWsXwsPDYW1tjfr162Po0KH45JNPYGNjY+4wiYiIShxV73LV8vPnz3WWZ69zIvOqUKECduzYgZCQEJw/fx4xMTGIi4uDpaUlqlSpgkaNGqFv374YNmwY7O3tzR0uERHRW4E9WImIiIiIiIiIiIhMxDFYiYiIiIiIiIiIiEzEBCsRERERERERERGRiZhgJSIiIiIiIiIiIjIRE6xEREREREREREREJmKClYiIiIiIiIiIiMhETLASERERERERERERmYgJViIiIiIiIiIiIiITMcFKREREREREREREZCImWImIiIiIiIiIiIhMxAQrERERERERERERkYmYYCUiIiIiIiIiIiIyEROsRERERERvmDNnzkAmk0Emk2Hu3LkF1m5ISIjYbtWqVQusXWOkpKTA3d0dMpkMbdu2NUsMRERERFJMsBIRERGRUc6dOycm2Uz5effddws9xl27donb++KLLwzejxEjRhi8jfXr14v1nJycoFQqCyr816JUKvHpp58CANzc3LTuf2EaM2aM3vPAxsYG7u7uaNasGSZOnIiQkBAIgqC3bWdnZ3z55ZcAchPJ27ZtK+zdISIiItKJCVYiIiIiMsqVK1deq37z5s0LKBLt9u/fLy736tVLYxlN+3Hw4EHk5OQYtA1pfR8fH1hYFI+v1lu3bsXly5cBAFOnToWzs7OZI9JMLpcjLi4Oly5dwh9//IEOHTqgQ4cOCA8P11t30qRJcHNzAwDMmTPH4M+MiIiIqDBYmTsAIiIiIipZpInFcuXKoUmTJkbV79GjR0GHpEapVOLvv/8GAJQqVQrt2rXTWE5TgvXVq1cICQnBe++9p3c70vqNGzc2LdgCplAo8O233wIAHB0dMXHiRDNHBJQuXRotWrTI9356ejqioqIQEREhvnfy5Em0b98eZ8+eRaVKlbS2aW9vj8mTJ2PevHl4/PgxNmzYgA8++KAwwiciIiLSiwlWIiIiIjLK1atXxeVBgwZh2bJl5gtGgwsXLuDFixcAgK5du8LKSvNXXul+ODk5ITU1FQCwe/duvQlWQRBw7do18bWxSebCEhQUhPv37wMAhg0bhjJlypg5otzevYcPH9a6/sGDB5gxYwb27t0LAIiOjsbUqVMRFBSks92JEyfi+++/R05ODhYsWIBx48ZBJpMVaOxEREREhigezzERERERUYmQk5ODGzduiK8bNmxoxmg0kw4P0Lt3b41l8u7H5MmTxeV9+/bpHQv08ePHSE5OFl8XlwTrr7/+Ki6XlB6dNWvWxK5du+Dn5ye+t2fPHsTHx+usV758efTs2RMA8PDhQ7HXMhEREVFRY4KViIiIiAx29+5dZGZmiq+Lc4LV0tIS3bt311gm736MGzcOVapUAZDbgzIsLEznNqTDA1hZWaFBgwavG/Zru3nzJs6ePQsAqF69epFMJlZQLCwsMHXqVPG1QqHQ+xkAub10VVatWlUYoRERERHpxQQrERERERlM+lg9gGKRWJR68uSJ2DO1devWWh+Rzzs8QI0aNdC3b1/xvd27d+vcjrR+nTp1YGdnZ3rQBWTz5s3icr9+/YyuHxoaipEjR8Lb2xt2dnbw8PBA69atsXTpUrx69argAtWiTp06aq/19WAFcsfztbW1BQAcPnzYoDpEREREBY0JViIiIiIymLTnppeXF1xcXMwYTX7S4QF69eqltZx0P3x8fGBhYaGWYN2zZ4/O7RTHCa527twpLnfr1s3gejk5ORg/fjx8fX2xadMmREREICsrC8+fP8fZs2cxbdo0NG7cGJcvXy6MsEXZ2dlqr52cnPTWcXJyQps2bQAAcrlcHMeViIiIqCgxwUpEREREBpP23CyOwwMcOHBAXNY2/iqgvh+qBKmvry9Kly4NALhz5444WZS++sVh/NXw8HA8ePAAQO6QBa1atTKoniAIGDVqFFavXq32fr169eDn54eaNWsCACIjI9G5c2dER0cXbOASquENVAztHe3r6ysuHzlypEBjIiIiIjIEE6xEREREZLDinGBNS0tDcHAwAKBatWqoW7eu1rKaEqRWVlbipEmA9mECXrx4gZiYmHz1zenkyZPicr169eDo6GhQvbVr12Lr1q3iaz8/P9y/fx+3bt1CcHAw7t+/j6tXr6Jp06ZISEjAtGnTCjx2AIiLi8OCBQvE1y1btkS1atUMqtu8eXNxOSQkpKBDIyIiItKLCVYiIiIiMkhkZCQSEhLE18Vt/NWjR48iKysLgO7eq3n3Q/qIvyHDBEiHB8hb31wuXbokLtevX9+gOpmZmfjyyy/F123atMHhw4fFXqsqjRo1QnBwMOrVq4e4uLiCCfi/23/w4AFWrFiBpk2bIjw8HADg6OiI5cuXG9yONNH/4sULREVFFViMRERERIZggpWIiIiIDJJ3gqvhw4dDJpMZ/KPqXVpYpMMD6Bp/VbofVlZWaonibt26iRNWnT9/Hs+ePdNZ38vLSxxWwJxu374tLlevXt2gOjt37hQTppaWllizZo04YVReLi4uWLlypUmxnTx5UuP5YG9vj1q1amHy5MliUtTPzw+nT59G06ZNDW6/UqVKanFLjwURERFRUWCClYiIiIgMkrfnpjFkMhneeeedAoxGnSAIOHjwIIDcZKB0XM68pPtRu3ZtMaEK5E6a1KlTJ7FNTZMmFccJriIjI8XlChUqGFRH2kO3Q4cOOodUAID27dsX6rAQ7du3x+TJk+Hj42N0Xek+S48FERERUVGwMncARERERFQySHtuli9f3qjkooeHB1xcXDSuGzNmDDZs2IDp06fj559/Nim2ixcv4vnz5wCALl26wNraWmtZfRNU9evXT0zW7tmzBxMmTFBbL02wFofxVwGoPbpvaI/aixcvistdu3Y1qE737t1x48YNo2IrXbo0WrRoke99hUKBhIQE3L17F+np6QgNDUVoaCiaN2+OHTt2wMvLy6htqIYYePnypVHxEREREb0uJliJiIiIyCDSxOKwYcOwePHiAm33dZKV+/fvF5d1jb8q3R6guQdq7969YWFhAaVSieDgYCQnJ4vJ4bS0NDx8+FAsqy/mly9fYsGCBdi3bx+io6Ph6OiIpk2bYtKkSejXr58Be2aYtLQ0cdne3l5veblcrtbT09DxdA0d31XKx8cHhw8f1hnLnj178PnnnyM6OhoXL15Ehw4dEBYWhjJlyhi0Dek+S48FERERUVHgEAFEREREpFdCQgKePHkivm7UqFGBtJudnY07d+4AeL3H7VUJVgsLC/To0UNrubz7oWmb5cuXR8uWLcX4VL1ZAeDatWtQKpU666vcunULDRo0wOLFi/Hw4UNYW1vj1atXOHbsGPr374/PPvvM0N0ziiAIesu8evVK7XXZsmUNatvQcsawtrbGoEGDEBoaCmdnZwBAeHi42gRc+hiyz0RERESFhQlWIiIiItIr7wRXBZVgvXnzJuRyOezt7VG7dm2T2oiKisK1a9cAAC1btoSbm5vWsnn3Q1sPVGnvUulYpdL6ZcqUQZUqVTTWz8rKQp8+ffDixQs0aNAAV69eRXJyMpKTkzF//nzIZDL89ttvWLdune6dM5Cjo6O4nJmZqbd8dna22msbGxuDtqNtEqyC4O3tjbFjx4qvN27ciNTUVIPqZmRkiMvSY0FERERUFJhgJSIiIiK9pI/VW1tbo169egXSriph6ePjA0tLS5PaOHDggLjcq1cvnWWl+1G5cmWtj6D37dtXXD506BCysrLy1dc1PMDq1avx+PFjODg44ODBg2JC2sHBAV999RUmTZoEAPjPf/4DuVyuM2ZDSJPKiYmJesvnHQ83JSXFoO0YWs5Ubdu2FZczMzMRFhZmUD3pPru7uxd4XERERES6MMFKRERERHpJE4t169Y1uMejoe02btwY2dnZWLx4MZo2bQpHR0eUKVMGgwYNwr1793S2IU2wvu74qyq1atVC3bp1AeQmFU+cOGFU/U2bNgEAhg4dqrGX68yZMyGTyRATE4Pg4GCdMRtCOiHU06dP9ZZ3dnZWG7c0IiLCoO2oJpIqLKVKlVJ7/ezZM4PqxcTEiMvGTI5FREREVBCYYCUiIiIivaSPxhfU8ADSditWrIgWLVrgiy++wO3bt5GTk4PExEQEBQWhZcuWWpOs6enp+OeffwAAVatW1TtZk3Q/9E1QJR0mYPfu3cjJycGtW7f01k9NTcXFixcBAN26ddNYpkqVKmICV5W8fR2qtgCoTcKlizRBfOHCBYPqGFrOVHl73xoyYVd0dLTakAcF1buaiIiIyFBMsBIRERGRTpmZmbh79674uqASrIIg4Pr16wCAX375BVlZWTh69CgyMjKQmpqKv/76C05OTnj16hWmTp2qsY1jx46JY4727NnTqP3QN6mWdJiA/fv349atW2rjm2qrf+fOHXHSJV0JX9W627dv64zDEO+88464fPPmTYPqtGvXTlzetWsXcnJydJZPTU1Vm/CrMISGhqq9NqQ36o0bN8Rld3d3VK5cucDjIiIiItKFCVYiIiIi0unGjRtQKBTia32JSUM9evQIycnJAIAKFSrg7Nmz6Ny5M2QyGaytrTFkyBB8/fXXAICjR49qHP/TmOEBjN2PFi1aoEKFCgCA58+fY8WKFeI6e3t71KlTR2M96WPtqvqaqNYZ+hi8Lu3btxeX7969a9DkUCNHjhSXnz59ipUrV+os/+OPPxo86ZQpHj58iPXr14uvPT09DTrXpOO0+vr6FkJkRERERLoxwUpEREREOknHHQUKrger9HH9//u//8s3/iYA+Pv7AwCUSiUePXqktk4QBLFHpZOTE/z8/HRuT7ofpUqVgre3t87yMpkMffr0EV+vW7dOXG7YsKHWSbmkSUgHBwet7avWFcTEUdWrV0f16tUBAAqFAmfOnNFbp0GDBmq9fmfMmIFjx45pLLt161YsWLDgtePURC6XY/v27fDz80NaWpr4/uzZsyGTyfTWP3nypLjctWvXQomRiIiISBcrcwdARERERMWbNDFpYWGBESNGGFXfx8cHCxcu1Npu27Zt0bp1a411K1asKC4rlUq1dWFhYWLvz86dO8PW1lZnHNL9MDRJ3LdvX/zxxx8AchOBKgXVi7cgDRgwAD///DMA4MiRIwYlG5ctW4ZTp04hOTkZWVlZ6NatG4YNG4a+ffuiXLlyePr0KXbs2IHdu3cDAIYMGYJt27YZFdf169c1jkWrUCjw6tUr3L59G+np6WrrBg4ciEmTJultOy0tTUwmW1lZqQ3rQERERFRUmGAlIiIiIp2kPU2VSiWOHDliVP0aNWrobFfVS1WTV69eicvly5dXWycdHqBXr15645Duh6EJ0o4dO8LFxUUcykBF1wRZTk5O4nJ6ejpcXFw0llMlFZ2dnQ2KRZ8RI0aICdY9e/Zg8eLFeutUrVoVBw4cQLdu3ZCeng6lUolNmzZh06ZN+cqOHDkS48aNMzrBmpiYaPA5Y2Njg9mzZ+Orr77S2kNY6tChQ+K4uF26dIG7u7tRsREREREVBA4RQERERERaKZVKcSIqU0knYJJS9SjVth7436z15cqVyzee6f79+wHkPsqvb4KrvPthaILVxsYG3bt3z/e+rvrSOGNiYrSWU63z9PQ0KBZ9fHx88O677wIAwsPDce7cOYPqtWvXDpcvX9Y6xELZsmWxcOFCBAYGFkicKjKZDM7OzvD29kbfvn2xZMkSREVFYe7cubC2tjaojS1btojL48ePL9D4iIiIiAwlE1RTnBIRERERFZEXL16IPVJv3bqFevXqaSw3ZswYbNiwAaNHj1abAOnp06eoVKkSgNzJqM6fP1/oMRsqNTUVLi4uEAQBQUFBGDhwoMZyDRo0wK1btzBz5kz89NNPBbLtv/76C0OHDgUAfPjhh1izZo1R9R88eIAzZ84gNjYWrq6u8Pb2RseOHWFjY1Mg8RWkFy9eoFKlSpDL5ahWrRoePHgACwv2HyEiIqKix28gRERERFTkpI/rP3/+XGOZqKgobN++HQAwZcoUtXXS4QF69+5d8AG+BicnJ7Ro0QIAcPjwYY1loqOjcfv2bQBAp06dCmzbgwYNQs2aNQHkTkyVkJBgVP2aNWtizJgx+PLLLzFx4kR069atWCZXAWDVqlXiuLizZs1icpWIiIjMht9CiIiIiKjISSecUj3qL5WTk4MPP/wQGRkZGDBgAJo1a6a2XlrHkPFXi9rw4cMB5CY5o6Ki8q1fuHAhBEFAhQoV0KFDhwLbrqWlJb755hsAuRNArVy5ssDaLk4yMzOxbNkyALnjyI4dO9bMEREREdHbjAlWIiIiIipyqh6sZcqUwfLly/Hnn3+KvRFv3LiBbt264ejRo/Dy8tL4mHv79u0REBCA77//3uDxVIvSxx9/jGrVqiEtLQ29evUSx3/NyMjAggULxOTg/PnzDR5v1FDDhg0TJ+FaunQpUlJSCrT94mDlypV48eIFAOCHH34o8GNIREREZAyOwUpERERERa5OnTq4d+8eAgMDMXfuXDx+/Bg2Njaws7NDcnIygNyeiYcPH0bt2rXNHK1pbt26hY4dO4qJQBcXF6SlpUGhUAAAPvnkE/z222+Fsu0zZ86gbdu2AICAgADMnTu3ULZjDikpKahWrRri4uLQpk0bnD592twhERER0VuOCVYiIiIiKlLp6elwdnaGUqnEgwcP4OzsjNmzZ+Pvv/9GUlISqlevjiFDhmDatGlwcnIyd7iv5cWLF1iwYAH279+PqKgoODo6omnTppg8eTL69etn7vCIiIiIqAAwwUpERERERERERERkIo7BSkRERERERERERGQiJliJiIiIiIiIiIiITMQEKxEREREREREREZGJmGAlIiIiIiIiIiIiMhETrEREREREREREREQmYoKViIiIiIiIiIiIyERMsBIRERERERERERGZiAlWIiIiIiIiIiIiIhMxwUpERERERERERERkIiZYiYiIiIiIiIiIiEz0/4GDgehZnnTJAAAAAElFTkSuQmCC",
      "text/plain": [
       "<Figure size 1600x1000 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# activate output interleaver\n",
    "model_output_interleaver= LDPC_QAM_AWGN(k,\n",
    "                                        n,\n",
    "                                        num_bits_per_symbol=4,\n",
    "                                        use_ldpc_output_interleaver=True, \n",
    "                                        use_allzero=False, \n",
    "                                        use_scrambler=False)\n",
    "\n",
    "\n",
    "# and simulate the new curve\n",
    "# Hint: as the model is callable, we can directly pass it to the \n",
    "# Monte Carlo simulation\n",
    "ber_plot_allzero16qam.simulate(model_output_interleaver,\n",
    "                               ebno_dbs=np.arange(0, 5, 0.25),\n",
    "                               legend=\"16-QAM with 5G FEC interleaver\",\n",
    "                               max_mc_iter=100,\n",
    "                               num_target_bit_errors=1000,\n",
    "                               batch_size=1000,\n",
    "                               soft_estimates=False,\n",
    "                               show_fig=True,\n",
    "                               forward_keyboard_interrupt=False,\n",
    "                               compile_mode=\"reduce-overhead\");"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## EXIT Charts\n",
    "\n",
    "You now learn about how the convergence behavior of iterative receivers can be visualized. \n",
    "\n",
    "Extrinsic Information Transfer (EXIT) charts [7] are a widely adopted tool to analyze the convergence behavior of iterative receiver algorithms. The principle idea is to treat each component decoder (or demapper etc.) as individual entity with its own EXIT characteristic.\n",
    "EXIT charts not only allow to predict the decoding behavior (*open decoding tunnel*) but also enable LDPC code design (cf. [8]). However, this is beyond the scope of this notebook.\n",
    "\n",
    "We can analytically derive the EXIT characteristic for check node (CN) and variable node (VN) decoder for a given code with `get_exit_analytic`.\n",
    "Further, if the `LDPCBPDecoder` is initialized with option `track_exit`=True, it internally stores the average extrinsic mutual information after each iteration at the output of the VN/CN decoder.\n",
    "\n",
    "Please note that this is only an approximation for the AWGN channel and assumes infinite code length. However, it turns out that the results are often accurate enough and "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-02-14T00:16:29.137590Z",
     "iopub.status.busy": "2026-02-14T00:16:29.137453Z",
     "iopub.status.idle": "2026-02-14T00:16:29.650189Z",
     "shell.execute_reply": "2026-02-14T00:16:29.649458Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "n: 648, k: 324, coderate: 0.500\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x1000 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# parameters\n",
    "ebno_db = 2.3\n",
    "batch_size = 10000\n",
    "num_bits_per_symbol = 2\n",
    "\n",
    "pcm_id = 4 # decide which parity check matrix should be used (0-2: BCH; 3: (3,6)-LDPC 4: LDPC 802.11n\n",
    "pcm, k_exit, n_exit, coderate = load_parity_check_examples(pcm_id, verbose=True)\n",
    "\n",
    "# init callbacks for tracking of EXIT charts\n",
    "num_iter=20\n",
    "cb_exit_vn = EXITCallback(num_iter)\n",
    "cb_exit_cn = EXITCallback(num_iter)\n",
    "\n",
    "# init components\n",
    "decoder_exit = LDPCBPDecoder(pcm, \n",
    "                             hard_out=False, \n",
    "                             cn_update=\"boxplus\", \n",
    "                             track_exit=True,\n",
    "                             num_iter=num_iter,\n",
    "                             v2c_callbacks=[cb_exit_vn,],\n",
    "                             c2v_callbacks=[cb_exit_cn,])\n",
    "\n",
    "\n",
    "# generates fake llrs as if the all-zero codeword was transmitted over an AWNG channel with BPSK modulation (see early sections)\n",
    "llr_source = GaussianPriorSource()\n",
    "\n",
    "noise_var = ebnodb2no(ebno_db=ebno_db,\n",
    "                      num_bits_per_symbol=num_bits_per_symbol,\n",
    "                      coderate=coderate)\n",
    "\n",
    "# use fake llrs from GA\n",
    "llr = llr_source([batch_size, n_exit], noise_var)\n",
    "\n",
    "# simulate free runing trajectory\n",
    "decoder_exit(llr)\n",
    "\n",
    "# calculate analytical EXIT characteristics\n",
    "# Hint: these curves assume asymptotic code length, i.e., may become inaccurate in the short length regime\n",
    "Ia, Iev, Iec = get_exit_analytic(pcm, ebno_db)\n",
    "\n",
    "# and plot the EXIT curves\n",
    "plt = plot_exit_chart(Ia, Iev, Iec)\n",
    "\n",
    "# however, as track_exit=True, the decoder logs the actual exit trajectory during decoding. This can be accessed by decoder.ie_v/decoder.ie_c after the simulation\n",
    "\n",
    "# and add simulated trajectory to plot\n",
    "plot_trajectory(plt, cb_exit_vn.mi.cpu().numpy(), cb_exit_cn.mi.cpu().numpy(), ebno_db)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "As can be seen, the simulated trajectory of the decoder matches (relatively) well with the predicted\n",
    "EXIT functions of the VN and CN decoder, respectively.\n",
    "\n",
    "A few things to try:\n",
    "\n",
    "- Change the SNR; which curves change? Why is one curve constant? Hint: does every component directly *see* the channel?\n",
    "- What happens for other codes?\n",
    "- Can you predict the *threshold* of this curve (i.e., the minimum SNR required for successful decoding)\n",
    "- Verify the correctness of this threshold via BER simulations (hint: the codes are relatively short, thus the prediction is less accurate)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Mismatched Demapping and the Advantages of Min-sum Decoding\n",
    "\n",
    "So far, we have demapped with exact knowledge of the underlying noise distribution (including the exact SNR).\n",
    "However, in practice estimating the SNR can be a complicated task and, as such, the estimated SNR used for demapping can be inaccurate.\n",
    "\n",
    "In this part, you will learn about the advantages of min-sum decoding and we will see that it is more robust against mismatched demapping."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-02-14T00:16:29.652421Z",
     "iopub.status.busy": "2026-02-14T00:16:29.652282Z",
     "iopub.status.idle": "2026-02-14T00:16:29.654801Z",
     "shell.execute_reply": "2026-02-14T00:16:29.654056Z"
    }
   },
   "outputs": [],
   "source": [
    "# let us first remove the non-scrambled result from the previous experiment\n",
    "ber_plot_allzero16qam.remove(idx=1) # remove curve with index 1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-02-14T00:16:29.656482Z",
     "iopub.status.busy": "2026-02-14T00:16:29.656359Z",
     "iopub.status.idle": "2026-02-14T00:16:39.513367Z",
     "shell.execute_reply": "2026-02-14T00:16:39.512637Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "EbNo [dB] |        BER |       BLER |  bit errors |    num bits | block errors |  num blocks | runtime [s] |    status\n",
      "---------------------------------------------------------------------------------------------------------------------------------------\n",
      "      0.0 | 2.8962e-01 | 1.0000e+00 |      173770 |      600000 |         1000 |        1000 |         8.5 |iter: 0/100\r",
      "      0.0 | 2.8962e-01 | 1.0000e+00 |      173770 |      600000 |         1000 |        1000 |         8.5 |reached target bit errors\n",
      "      0.5 | 2.8028e-01 | 1.0000e+00 |      168169 |      600000 |         1000 |        1000 |         0.0 |iter: 0/100\r",
      "      0.5 | 2.8028e-01 | 1.0000e+00 |      168169 |      600000 |         1000 |        1000 |         0.0 |reached target bit errors\n",
      "      1.0 | 2.7137e-01 | 1.0000e+00 |      162820 |      600000 |         1000 |        1000 |         0.0 |iter: 0/100\r",
      "      1.0 | 2.7137e-01 | 1.0000e+00 |      162820 |      600000 |         1000 |        1000 |         0.0 |reached target bit errors\n",
      "      1.5 | 2.5961e-01 | 1.0000e+00 |      155769 |      600000 |         1000 |        1000 |         0.0 |iter: 0/100\r",
      "      1.5 | 2.5961e-01 | 1.0000e+00 |      155769 |      600000 |         1000 |        1000 |         0.0 |reached target bit errors\n",
      "      2.0 | 2.4850e-01 | 1.0000e+00 |      149099 |      600000 |         1000 |        1000 |         0.0 |iter: 0/100\r",
      "      2.0 | 2.4850e-01 | 1.0000e+00 |      149099 |      600000 |         1000 |        1000 |         0.0 |reached target bit errors\n",
      "      2.5 | 2.3639e-01 | 1.0000e+00 |      141836 |      600000 |         1000 |        1000 |         0.0 |iter: 0/100\r",
      "      2.5 | 2.3639e-01 | 1.0000e+00 |      141836 |      600000 |         1000 |        1000 |         0.0 |reached target bit errors\n",
      "      3.0 | 2.1636e-01 | 9.9800e-01 |      129818 |      600000 |          998 |        1000 |         0.0 |iter: 0/100\r",
      "      3.0 | 2.1636e-01 | 9.9800e-01 |      129818 |      600000 |          998 |        1000 |         0.0 |reached target bit errors\n",
      "      3.5 | 1.7973e-01 | 9.8000e-01 |      107836 |      600000 |          980 |        1000 |         0.0 |iter: 0/100\r",
      "      3.5 | 1.7973e-01 | 9.8000e-01 |      107836 |      600000 |          980 |        1000 |         0.0 |reached target bit errors\n",
      "      4.0 | 1.1195e-01 | 8.1900e-01 |       67170 |      600000 |          819 |        1000 |         0.0 |iter: 0/100\r",
      "      4.0 | 1.1195e-01 | 8.1900e-01 |       67170 |      600000 |          819 |        1000 |         0.0 |reached target bit errors\n",
      "      4.5 | 3.3240e-02 | 4.3000e-01 |       19944 |      600000 |          430 |        1000 |         0.0 |iter: 0/100\r",
      "      4.5 | 3.3240e-02 | 4.3000e-01 |       19944 |      600000 |          430 |        1000 |         0.0 |reached target bit errors\n",
      "      5.0 | 3.7850e-03 | 9.4000e-02 |        2271 |      600000 |           94 |        1000 |         0.0 |iter: 0/100\r",
      "      5.0 | 3.7850e-03 | 9.4000e-02 |        2271 |      600000 |           94 |        1000 |         0.0 |reached target bit errors\n",
      "      5.5 | 2.3333e-04 | 3.4000e-02 |         140 |      600000 |           34 |        1000 |         0.0 |iter: 0/100\r",
      "      5.5 | 2.3333e-04 | 3.3000e-02 |         280 |     1200000 |           66 |        2000 |         0.0 |iter: 1/100\r",
      "      5.5 | 2.3556e-04 | 3.4333e-02 |         424 |     1800000 |          103 |        3000 |         0.0 |iter: 2/100\r",
      "      5.5 | 2.2667e-04 | 3.3500e-02 |         544 |     2400000 |          134 |        4000 |         0.0 |iter: 3/100\r",
      "      5.5 | 1.9933e-04 | 3.3200e-02 |         598 |     3000000 |          166 |        5000 |         0.1 |iter: 4/100\r",
      "      5.5 | 2.0444e-04 | 3.4333e-02 |         736 |     3600000 |          206 |        6000 |         0.1 |iter: 5/100\r",
      "      5.5 | 2.2048e-04 | 3.5571e-02 |         926 |     4200000 |          249 |        7000 |         0.1 |iter: 6/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "      5.5 | 2.1979e-04 | 3.5625e-02 |        1055 |     4800000 |          285 |        8000 |         0.1 |iter: 7/100\r",
      "      5.5 | 2.1979e-04 | 3.5625e-02 |        1055 |     4800000 |          285 |        8000 |         0.1 |reached target bit errors\n",
      "      6.0 | 7.0000e-05 | 2.8000e-02 |          42 |      600000 |           28 |        1000 |         0.0 |iter: 0/100\r",
      "      6.0 | 6.0000e-05 | 2.4500e-02 |          72 |     1200000 |           49 |        2000 |         0.0 |iter: 1/100\r",
      "      6.0 | 6.6111e-05 | 2.4333e-02 |         119 |     1800000 |           73 |        3000 |         0.0 |iter: 2/100\r",
      "      6.0 | 6.0000e-05 | 2.2000e-02 |         144 |     2400000 |           88 |        4000 |         0.0 |iter: 3/100\r",
      "      6.0 | 5.5000e-05 | 2.1000e-02 |         165 |     3000000 |          105 |        5000 |         0.1 |iter: 4/100\r",
      "      6.0 | 6.1111e-05 | 2.2167e-02 |         220 |     3600000 |          133 |        6000 |         0.1 |iter: 5/100\r",
      "      6.0 | 5.9762e-05 | 2.1714e-02 |         251 |     4200000 |          152 |        7000 |         0.1 |iter: 6/100\r",
      "      6.0 | 6.0833e-05 | 2.2125e-02 |         292 |     4800000 |          177 |        8000 |         0.1 |iter: 7/100\r",
      "      6.0 | 6.3148e-05 | 2.2778e-02 |         341 |     5400000 |          205 |        9000 |         0.1 |iter: 8/100\r",
      "      6.0 | 6.2833e-05 | 2.2700e-02 |         377 |     6000000 |          227 |       10000 |         0.1 |iter: 9/100\r",
      "      6.0 | 6.1515e-05 | 2.2091e-02 |         406 |     6600000 |          243 |       11000 |         0.1 |iter: 10/100\r",
      "      6.0 | 6.0694e-05 | 2.2167e-02 |         437 |     7200000 |          266 |       12000 |         0.1 |iter: 11/100\r",
      "      6.0 | 5.8974e-05 | 2.1615e-02 |         460 |     7800000 |          281 |       13000 |         0.1 |iter: 12/100\r",
      "      6.0 | 5.7857e-05 | 2.1286e-02 |         486 |     8400000 |          298 |       14000 |         0.1 |iter: 13/100\r",
      "      6.0 | 5.8556e-05 | 2.1400e-02 |         527 |     9000000 |          321 |       15000 |         0.2 |iter: 14/100\r",
      "      6.0 | 5.9062e-05 | 2.1750e-02 |         567 |     9600000 |          348 |       16000 |         0.2 |iter: 15/100\r",
      "      6.0 | 5.7451e-05 | 2.1235e-02 |         586 |    10200000 |          361 |       17000 |         0.2 |iter: 16/100\r",
      "      6.0 | 5.7315e-05 | 2.1222e-02 |         619 |    10800000 |          382 |       18000 |         0.2 |iter: 17/100\r",
      "      6.0 | 5.7895e-05 | 2.1421e-02 |         660 |    11400000 |          407 |       19000 |         0.2 |iter: 18/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "      6.0 | 5.9500e-05 | 2.1500e-02 |         714 |    12000000 |          430 |       20000 |         0.2 |iter: 19/100\r",
      "      6.0 | 6.0476e-05 | 2.1762e-02 |         762 |    12600000 |          457 |       21000 |         0.2 |iter: 20/100\r",
      "      6.0 | 6.1364e-05 | 2.2045e-02 |         810 |    13200000 |          485 |       22000 |         0.2 |iter: 21/100\r",
      "      6.0 | 6.0725e-05 | 2.1696e-02 |         838 |    13800000 |          499 |       23000 |         0.2 |iter: 22/100\r",
      "      6.0 | 6.0347e-05 | 2.1333e-02 |         869 |    14400000 |          512 |       24000 |         0.2 |iter: 23/100\r",
      "      6.0 | 6.0400e-05 | 2.1200e-02 |         906 |    15000000 |          530 |       25000 |         0.3 |iter: 24/100\r",
      "      6.0 | 6.1026e-05 | 2.1462e-02 |         952 |    15600000 |          558 |       26000 |         0.3 |iter: 25/100\r",
      "      6.0 | 6.0494e-05 | 2.1259e-02 |         980 |    16200000 |          574 |       27000 |         0.3 |iter: 26/100\r",
      "      6.0 | 6.0179e-05 | 2.1179e-02 |        1011 |    16800000 |          593 |       28000 |         0.3 |iter: 27/100\r",
      "      6.0 | 6.0179e-05 | 2.1179e-02 |        1011 |    16800000 |          593 |       28000 |         0.3 |reached target bit errors\n",
      "      6.5 | 1.8333e-05 | 9.0000e-03 |          11 |      600000 |            9 |        1000 |         0.0 |iter: 0/100\r",
      "      6.5 | 2.0000e-05 | 9.0000e-03 |          24 |     1200000 |           18 |        2000 |         0.0 |iter: 1/100\r",
      "      6.5 | 2.5556e-05 | 9.6667e-03 |          46 |     1800000 |           29 |        3000 |         0.0 |iter: 2/100\r",
      "      6.5 | 2.7500e-05 | 1.0250e-02 |          66 |     2400000 |           41 |        4000 |         0.0 |iter: 3/100\r",
      "      6.5 | 3.2000e-05 | 1.1200e-02 |          96 |     3000000 |           56 |        5000 |         0.1 |iter: 4/100\r",
      "      6.5 | 3.1111e-05 | 1.1500e-02 |         112 |     3600000 |           69 |        6000 |         0.1 |iter: 5/100\r",
      "      6.5 | 3.0476e-05 | 1.2000e-02 |         128 |     4200000 |           84 |        7000 |         0.1 |iter: 6/100\r",
      "      6.5 | 3.0625e-05 | 1.2125e-02 |         147 |     4800000 |           97 |        8000 |         0.1 |iter: 7/100\r",
      "      6.5 | 3.0926e-05 | 1.1889e-02 |         167 |     5400000 |          107 |        9000 |         0.1 |iter: 8/100\r",
      "      6.5 | 3.2333e-05 | 1.2600e-02 |         194 |     6000000 |          126 |       10000 |         0.1 |iter: 9/100\r",
      "      6.5 | 3.2879e-05 | 1.2727e-02 |         217 |     6600000 |          140 |       11000 |         0.1 |iter: 10/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "      6.5 | 3.2639e-05 | 1.2500e-02 |         235 |     7200000 |          150 |       12000 |         0.1 |iter: 11/100\r",
      "      6.5 | 3.3077e-05 | 1.2538e-02 |         258 |     7800000 |          163 |       13000 |         0.1 |iter: 12/100\r",
      "      6.5 | 3.1786e-05 | 1.2214e-02 |         267 |     8400000 |          171 |       14000 |         0.1 |iter: 13/100\r",
      "      6.5 | 3.3000e-05 | 1.2467e-02 |         297 |     9000000 |          187 |       15000 |         0.2 |iter: 14/100\r",
      "      6.5 | 3.4375e-05 | 1.3250e-02 |         330 |     9600000 |          212 |       16000 |         0.2 |iter: 15/100\r",
      "      6.5 | 3.5294e-05 | 1.3647e-02 |         360 |    10200000 |          232 |       17000 |         0.2 |iter: 16/100\r",
      "      6.5 | 3.4815e-05 | 1.3611e-02 |         376 |    10800000 |          245 |       18000 |         0.2 |iter: 17/100\r",
      "      6.5 | 3.5351e-05 | 1.3789e-02 |         403 |    11400000 |          262 |       19000 |         0.2 |iter: 18/100\r",
      "      6.5 | 3.6167e-05 | 1.4050e-02 |         434 |    12000000 |          281 |       20000 |         0.2 |iter: 19/100\r",
      "      6.5 | 3.6111e-05 | 1.4000e-02 |         455 |    12600000 |          294 |       21000 |         0.2 |iter: 20/100\r",
      "      6.5 | 3.5833e-05 | 1.4045e-02 |         473 |    13200000 |          309 |       22000 |         0.2 |iter: 21/100\r",
      "      6.5 | 3.6522e-05 | 1.4348e-02 |         504 |    13800000 |          330 |       23000 |         0.2 |iter: 22/100\r",
      "      6.5 | 3.6528e-05 | 1.4333e-02 |         526 |    14400000 |          344 |       24000 |         0.2 |iter: 23/100\r",
      "      6.5 | 3.6400e-05 | 1.4240e-02 |         546 |    15000000 |          356 |       25000 |         0.3 |iter: 24/100\r",
      "      6.5 | 3.6667e-05 | 1.4308e-02 |         572 |    15600000 |          372 |       26000 |         0.3 |iter: 25/100\r",
      "      6.5 | 3.6481e-05 | 1.4148e-02 |         591 |    16200000 |          382 |       27000 |         0.3 |iter: 26/100\r",
      "      6.5 | 3.5893e-05 | 1.3929e-02 |         603 |    16800000 |          390 |       28000 |         0.3 |iter: 27/100\r",
      "      6.5 | 3.6264e-05 | 1.4172e-02 |         631 |    17400000 |          411 |       29000 |         0.3 |iter: 28/100\r",
      "      6.5 | 3.6833e-05 | 1.4500e-02 |         663 |    18000000 |          435 |       30000 |         0.3 |iter: 29/100\r",
      "      6.5 | 3.6559e-05 | 1.4452e-02 |         680 |    18600000 |          448 |       31000 |         0.3 |iter: 30/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "      6.5 | 3.6198e-05 | 1.4250e-02 |         695 |    19200000 |          456 |       32000 |         0.3 |iter: 31/100\r",
      "      6.5 | 3.6010e-05 | 1.4121e-02 |         713 |    19800000 |          466 |       33000 |         0.3 |iter: 32/100\r",
      "      6.5 | 3.5980e-05 | 1.4147e-02 |         734 |    20400000 |          481 |       34000 |         0.4 |iter: 33/100\r",
      "      6.5 | 3.5952e-05 | 1.4171e-02 |         755 |    21000000 |          496 |       35000 |         0.4 |iter: 34/100\r",
      "      6.5 | 3.5602e-05 | 1.4111e-02 |         769 |    21600000 |          508 |       36000 |         0.4 |iter: 35/100\r",
      "      6.5 | 3.5541e-05 | 1.4135e-02 |         789 |    22200000 |          523 |       37000 |         0.4 |iter: 36/100\r",
      "      6.5 | 3.5439e-05 | 1.4105e-02 |         808 |    22800000 |          536 |       38000 |         0.4 |iter: 37/100\r",
      "      6.5 | 3.5128e-05 | 1.4000e-02 |         822 |    23400000 |          546 |       39000 |         0.4 |iter: 38/100\r",
      "      6.5 | 3.5083e-05 | 1.3925e-02 |         842 |    24000000 |          557 |       40000 |         0.4 |iter: 39/100\r",
      "      6.5 | 3.4837e-05 | 1.3829e-02 |         857 |    24600000 |          567 |       41000 |         0.4 |iter: 40/100\r",
      "      6.5 | 3.4802e-05 | 1.3881e-02 |         877 |    25200000 |          583 |       42000 |         0.4 |iter: 41/100\r",
      "      6.5 | 3.4729e-05 | 1.3814e-02 |         896 |    25800000 |          594 |       43000 |         0.4 |iter: 42/100\r",
      "      6.5 | 3.5076e-05 | 1.3977e-02 |         926 |    26400000 |          615 |       44000 |         0.5 |iter: 43/100\r",
      "      6.5 | 3.4778e-05 | 1.3844e-02 |         939 |    27000000 |          623 |       45000 |         0.5 |iter: 44/100\r",
      "      6.5 | 3.4964e-05 | 1.3935e-02 |         965 |    27600000 |          641 |       46000 |         0.5 |iter: 45/100\r",
      "      6.5 | 3.4752e-05 | 1.3894e-02 |         980 |    28200000 |          653 |       47000 |         0.5 |iter: 46/100\r",
      "      6.5 | 3.4792e-05 | 1.3896e-02 |        1002 |    28800000 |          667 |       48000 |         0.5 |iter: 47/100\r",
      "      6.5 | 3.4792e-05 | 1.3896e-02 |        1002 |    28800000 |          667 |       48000 |         0.5 |reached target bit errors\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1600x1000 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# simulate with mismatched noise estimation\n",
    "model_allzero_16_no = LDPC_QAM_AWGN(k,\n",
    "                                    n,\n",
    "                                    num_bits_per_symbol=4,\n",
    "                                    use_allzero=False, # full simulation\n",
    "                                    no_est_mismatch=0.15) # noise variance estimation mismatch (no scaled by 0.15 )\n",
    "\n",
    "ber_plot_allzero16qam.simulate(model_allzero_16_no,\n",
    "                               ebno_dbs=np.arange(0, 7, 0.5),\n",
    "                               legend=\"Mismatched Demapping / 16-QAM\",\n",
    "                               max_mc_iter=100,\n",
    "                               num_target_bit_errors=1000,\n",
    "                               batch_size=1000,\n",
    "                               soft_estimates=False,\n",
    "                               show_fig=True,\n",
    "                               forward_keyboard_interrupt=False,\n",
    "                               compile_mode=\"reduce-overhead\");"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-02-14T00:16:39.515008Z",
     "iopub.status.busy": "2026-02-14T00:16:39.514879Z",
     "iopub.status.idle": "2026-02-14T00:16:53.400953Z",
     "shell.execute_reply": "2026-02-14T00:16:53.399852Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "EbNo [dB] |        BER |       BLER |  bit errors |    num bits | block errors |  num blocks | runtime [s] |    status\n",
      "---------------------------------------------------------------------------------------------------------------------------------------\n",
      "      0.0 | 2.9591e-01 | 1.0000e+00 |      177544 |      600000 |         1000 |        1000 |        10.9 |iter: 0/100\r",
      "      0.0 | 2.9591e-01 | 1.0000e+00 |      177544 |      600000 |         1000 |        1000 |        10.9 |reached target bit errors\n",
      "      0.5 | 2.8541e-01 | 1.0000e+00 |      171247 |      600000 |         1000 |        1000 |         0.0 |iter: 0/100\r",
      "      0.5 | 2.8541e-01 | 1.0000e+00 |      171247 |      600000 |         1000 |        1000 |         0.0 |reached target bit errors\n",
      "      1.0 | 2.7496e-01 | 1.0000e+00 |      164976 |      600000 |         1000 |        1000 |         0.0 |iter: 0/100\r",
      "      1.0 | 2.7496e-01 | 1.0000e+00 |      164976 |      600000 |         1000 |        1000 |         0.0 |reached target bit errors\n",
      "      1.5 | 2.6384e-01 | 1.0000e+00 |      158303 |      600000 |         1000 |        1000 |         0.0 |iter: 0/100\r",
      "      1.5 | 2.6384e-01 | 1.0000e+00 |      158303 |      600000 |         1000 |        1000 |         0.0 |reached target bit errors\n",
      "      2.0 | 2.5290e-01 | 1.0000e+00 |      151741 |      600000 |         1000 |        1000 |         0.0 |iter: 0/100\r",
      "      2.0 | 2.5290e-01 | 1.0000e+00 |      151741 |      600000 |         1000 |        1000 |         0.0 |reached target bit errors\n",
      "      2.5 | 2.4016e-01 | 1.0000e+00 |      144093 |      600000 |         1000 |        1000 |         0.0 |iter: 0/100\r",
      "      2.5 | 2.4016e-01 | 1.0000e+00 |      144093 |      600000 |         1000 |        1000 |         0.0 |reached target bit errors\n",
      "      3.0 | 2.2166e-01 | 9.9800e-01 |      132994 |      600000 |          998 |        1000 |         0.0 |iter: 0/100\r",
      "      3.0 | 2.2166e-01 | 9.9800e-01 |      132994 |      600000 |          998 |        1000 |         0.0 |reached target bit errors\n",
      "      3.5 | 1.8301e-01 | 9.4300e-01 |      109805 |      600000 |          943 |        1000 |         0.0 |iter: 0/100\r",
      "      3.5 | 1.8301e-01 | 9.4300e-01 |      109805 |      600000 |          943 |        1000 |         0.0 |reached target bit errors\n",
      "      4.0 | 9.0552e-02 | 6.2100e-01 |       54331 |      600000 |          621 |        1000 |         0.0 |iter: 0/100\r",
      "      4.0 | 9.0552e-02 | 6.2100e-01 |       54331 |      600000 |          621 |        1000 |         0.0 |reached target bit errors\n",
      "      4.5 | 1.6532e-02 | 1.5800e-01 |        9919 |      600000 |          158 |        1000 |         0.0 |iter: 0/100\r",
      "      4.5 | 1.6532e-02 | 1.5800e-01 |        9919 |      600000 |          158 |        1000 |         0.0 |reached target bit errors\n",
      "      5.0 | 6.7667e-04 | 9.0000e-03 |         406 |      600000 |            9 |        1000 |         0.0 |iter: 0/100\r",
      "      5.0 | 9.1250e-04 | 1.1500e-02 |        1095 |     1200000 |           23 |        2000 |         0.0 |iter: 1/100\r",
      "      5.0 | 9.1250e-04 | 1.1500e-02 |        1095 |     1200000 |           23 |        2000 |         0.0 |reached target bit errors\n",
      "      5.5 | 0.0000e+00 | 0.0000e+00 |           0 |      600000 |            0 |        1000 |         0.0 |iter: 0/100\r",
      "      5.5 | 0.0000e+00 | 0.0000e+00 |           0 |     1200000 |            0 |        2000 |         0.0 |iter: 1/100\r",
      "      5.5 | 0.0000e+00 | 0.0000e+00 |           0 |     1800000 |            0 |        3000 |         0.0 |iter: 2/100\r",
      "      5.5 | 0.0000e+00 | 0.0000e+00 |           0 |     2400000 |            0 |        4000 |         0.0 |iter: 3/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "      5.5 | 0.0000e+00 | 0.0000e+00 |           0 |     3000000 |            0 |        5000 |         0.1 |iter: 4/100\r",
      "      5.5 | 0.0000e+00 | 0.0000e+00 |           0 |     3600000 |            0 |        6000 |         0.1 |iter: 5/100\r",
      "      5.5 | 0.0000e+00 | 0.0000e+00 |           0 |     4200000 |            0 |        7000 |         0.1 |iter: 6/100\r",
      "      5.5 | 0.0000e+00 | 0.0000e+00 |           0 |     4800000 |            0 |        8000 |         0.1 |iter: 7/100\r",
      "      5.5 | 0.0000e+00 | 0.0000e+00 |           0 |     5400000 |            0 |        9000 |         0.1 |iter: 8/100\r",
      "      5.5 | 0.0000e+00 | 0.0000e+00 |           0 |     6000000 |            0 |       10000 |         0.1 |iter: 9/100\r",
      "      5.5 | 0.0000e+00 | 0.0000e+00 |           0 |     6600000 |            0 |       11000 |         0.1 |iter: 10/100\r",
      "      5.5 | 9.0278e-06 | 1.6667e-04 |          65 |     7200000 |            2 |       12000 |         0.1 |iter: 11/100\r",
      "      5.5 | 8.3333e-06 | 1.5385e-04 |          65 |     7800000 |            2 |       13000 |         0.2 |iter: 12/100\r",
      "      5.5 | 7.7381e-06 | 1.4286e-04 |          65 |     8400000 |            2 |       14000 |         0.2 |iter: 13/100\r",
      "      5.5 | 7.2222e-06 | 1.3333e-04 |          65 |     9000000 |            2 |       15000 |         0.2 |iter: 14/100\r",
      "      5.5 | 6.7708e-06 | 1.2500e-04 |          65 |     9600000 |            2 |       16000 |         0.2 |iter: 15/100\r",
      "      5.5 | 6.3725e-06 | 1.1765e-04 |          65 |    10200000 |            2 |       17000 |         0.2 |iter: 16/100\r",
      "      5.5 | 6.0185e-06 | 1.1111e-04 |          65 |    10800000 |            2 |       18000 |         0.2 |iter: 17/100\r",
      "      5.5 | 5.7018e-06 | 1.0526e-04 |          65 |    11400000 |            2 |       19000 |         0.2 |iter: 18/100\r",
      "      5.5 | 1.2667e-05 | 1.5000e-04 |         152 |    12000000 |            3 |       20000 |         0.2 |iter: 19/100\r",
      "      5.5 | 1.2143e-05 | 1.9048e-04 |         153 |    12600000 |            4 |       21000 |         0.3 |iter: 20/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "      5.5 | 1.1591e-05 | 1.8182e-04 |         153 |    13200000 |            4 |       22000 |         0.3 |iter: 21/100\r",
      "      5.5 | 1.1087e-05 | 1.7391e-04 |         153 |    13800000 |            4 |       23000 |         0.3 |iter: 22/100\r",
      "      5.5 | 1.0625e-05 | 1.6667e-04 |         153 |    14400000 |            4 |       24000 |         0.3 |iter: 23/100\r",
      "      5.5 | 1.5400e-05 | 2.0000e-04 |         231 |    15000000 |            5 |       25000 |         0.3 |iter: 24/100\r",
      "      5.5 | 1.4808e-05 | 1.9231e-04 |         231 |    15600000 |            5 |       26000 |         0.3 |iter: 25/100\r",
      "      5.5 | 1.4259e-05 | 1.8519e-04 |         231 |    16200000 |            5 |       27000 |         0.3 |iter: 26/100\r",
      "      5.5 | 1.3750e-05 | 1.7857e-04 |         231 |    16800000 |            5 |       28000 |         0.3 |iter: 27/100\r",
      "      5.5 | 1.3276e-05 | 1.7241e-04 |         231 |    17400000 |            5 |       29000 |         0.4 |iter: 28/100\r",
      "      5.5 | 1.2833e-05 | 1.6667e-04 |         231 |    18000000 |            5 |       30000 |         0.4 |iter: 29/100\r",
      "      5.5 | 1.2419e-05 | 1.6129e-04 |         231 |    18600000 |            5 |       31000 |         0.4 |iter: 30/100\r",
      "      5.5 | 1.2031e-05 | 1.5625e-04 |         231 |    19200000 |            5 |       32000 |         0.4 |iter: 31/100\r",
      "      5.5 | 1.1667e-05 | 1.5152e-04 |         231 |    19800000 |            5 |       33000 |         0.4 |iter: 32/100\r",
      "      5.5 | 1.1324e-05 | 1.4706e-04 |         231 |    20400000 |            5 |       34000 |         0.4 |iter: 33/100\r",
      "      5.5 | 1.1000e-05 | 1.4286e-04 |         231 |    21000000 |            5 |       35000 |         0.4 |iter: 34/100\r",
      "      5.5 | 1.2917e-05 | 1.6667e-04 |         279 |    21600000 |            6 |       36000 |         0.4 |iter: 35/100\r",
      "      5.5 | 1.2568e-05 | 1.6216e-04 |         279 |    22200000 |            6 |       37000 |         0.5 |iter: 36/100\r",
      "      5.5 | 1.5526e-05 | 2.1053e-04 |         354 |    22800000 |            8 |       38000 |         0.5 |iter: 37/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "      5.5 | 1.5128e-05 | 2.0513e-04 |         354 |    23400000 |            8 |       39000 |         0.5 |iter: 38/100\r",
      "      5.5 | 1.4750e-05 | 2.0000e-04 |         354 |    24000000 |            8 |       40000 |         0.5 |iter: 39/100\r",
      "      5.5 | 1.5203e-05 | 2.1951e-04 |         374 |    24600000 |            9 |       41000 |         0.5 |iter: 40/100\r",
      "      5.5 | 1.4841e-05 | 2.1429e-04 |         374 |    25200000 |            9 |       42000 |         0.5 |iter: 41/100\r",
      "      5.5 | 1.4496e-05 | 2.0930e-04 |         374 |    25800000 |            9 |       43000 |         0.5 |iter: 42/100\r",
      "      5.5 | 1.4205e-05 | 2.2727e-04 |         375 |    26400000 |           10 |       44000 |         0.5 |iter: 43/100\r",
      "      5.5 | 1.3889e-05 | 2.2222e-04 |         375 |    27000000 |           10 |       45000 |         0.6 |iter: 44/100\r",
      "      5.5 | 1.3587e-05 | 2.1739e-04 |         375 |    27600000 |           10 |       46000 |         0.6 |iter: 45/100\r",
      "      5.5 | 1.3298e-05 | 2.1277e-04 |         375 |    28200000 |           10 |       47000 |         0.6 |iter: 46/100\r",
      "      5.5 | 1.3021e-05 | 2.0833e-04 |         375 |    28800000 |           10 |       48000 |         0.6 |iter: 47/100\r",
      "      5.5 | 1.4490e-05 | 2.2449e-04 |         426 |    29400000 |           11 |       49000 |         0.6 |iter: 48/100\r",
      "      5.5 | 1.4200e-05 | 2.2000e-04 |         426 |    30000000 |           11 |       50000 |         0.6 |iter: 49/100\r",
      "      5.5 | 1.3922e-05 | 2.1569e-04 |         426 |    30600000 |           11 |       51000 |         0.6 |iter: 50/100\r",
      "      5.5 | 1.3654e-05 | 2.1154e-04 |         426 |    31200000 |           11 |       52000 |         0.6 |iter: 51/100\r",
      "      5.5 | 1.3396e-05 | 2.0755e-04 |         426 |    31800000 |           11 |       53000 |         0.6 |iter: 52/100\r",
      "      5.5 | 1.3549e-05 | 2.4074e-04 |         439 |    32400000 |           13 |       54000 |         0.7 |iter: 53/100\r",
      "      5.5 | 1.3303e-05 | 2.3636e-04 |         439 |    33000000 |           13 |       55000 |         0.7 |iter: 54/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "      5.5 | 1.3065e-05 | 2.3214e-04 |         439 |    33600000 |           13 |       56000 |         0.7 |iter: 55/100\r",
      "      5.5 | 1.2836e-05 | 2.2807e-04 |         439 |    34200000 |           13 |       57000 |         0.7 |iter: 56/100\r",
      "      5.5 | 1.2615e-05 | 2.2414e-04 |         439 |    34800000 |           13 |       58000 |         0.7 |iter: 57/100\r",
      "      5.5 | 1.2655e-05 | 2.3729e-04 |         448 |    35400000 |           14 |       59000 |         0.7 |iter: 58/100\r",
      "      5.5 | 1.2778e-05 | 2.5000e-04 |         460 |    36000000 |           15 |       60000 |         0.7 |iter: 59/100\r",
      "      5.5 | 1.2568e-05 | 2.4590e-04 |         460 |    36600000 |           15 |       61000 |         0.7 |iter: 60/100\r",
      "      5.5 | 1.2366e-05 | 2.4194e-04 |         460 |    37200000 |           15 |       62000 |         0.8 |iter: 61/100\r",
      "      5.5 | 1.2169e-05 | 2.3810e-04 |         460 |    37800000 |           15 |       63000 |         0.8 |iter: 62/100\r",
      "      5.5 | 1.1979e-05 | 2.3437e-04 |         460 |    38400000 |           15 |       64000 |         0.8 |iter: 63/100\r",
      "      5.5 | 1.1795e-05 | 2.3077e-04 |         460 |    39000000 |           15 |       65000 |         0.8 |iter: 64/100\r",
      "      5.5 | 1.1667e-05 | 2.4242e-04 |         462 |    39600000 |           16 |       66000 |         0.8 |iter: 65/100\r",
      "      5.5 | 1.1493e-05 | 2.3881e-04 |         462 |    40200000 |           16 |       67000 |         0.8 |iter: 66/100\r",
      "      5.5 | 1.3480e-05 | 2.5000e-04 |         550 |    40800000 |           17 |       68000 |         0.8 |iter: 67/100\r",
      "      5.5 | 1.3285e-05 | 2.4638e-04 |         550 |    41400000 |           17 |       69000 |         0.8 |iter: 68/100\r",
      "      5.5 | 1.3095e-05 | 2.4286e-04 |         550 |    42000000 |           17 |       70000 |         0.9 |iter: 69/100\r",
      "      5.5 | 1.2911e-05 | 2.3944e-04 |         550 |    42600000 |           17 |       71000 |         0.9 |iter: 70/100\r",
      "      5.5 | 1.2731e-05 | 2.3611e-04 |         550 |    43200000 |           17 |       72000 |         0.9 |iter: 71/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "      5.5 | 1.2557e-05 | 2.3288e-04 |         550 |    43800000 |           17 |       73000 |         0.9 |iter: 72/100\r",
      "      5.5 | 1.2387e-05 | 2.2973e-04 |         550 |    44400000 |           17 |       74000 |         0.9 |iter: 73/100\r",
      "      5.5 | 1.4244e-05 | 2.4000e-04 |         641 |    45000000 |           18 |       75000 |         0.9 |iter: 74/100\r",
      "      5.5 | 1.4057e-05 | 2.3684e-04 |         641 |    45600000 |           18 |       76000 |         0.9 |iter: 75/100\r",
      "      5.5 | 1.3874e-05 | 2.3377e-04 |         641 |    46200000 |           18 |       77000 |         0.9 |iter: 76/100\r",
      "      5.5 | 1.4679e-05 | 2.4359e-04 |         687 |    46800000 |           19 |       78000 |         1.0 |iter: 77/100\r",
      "      5.5 | 1.4494e-05 | 2.4051e-04 |         687 |    47400000 |           19 |       79000 |         1.0 |iter: 78/100\r",
      "      5.5 | 1.4313e-05 | 2.3750e-04 |         687 |    48000000 |           19 |       80000 |         1.0 |iter: 79/100\r",
      "      5.5 | 1.4136e-05 | 2.3457e-04 |         687 |    48600000 |           19 |       81000 |         1.0 |iter: 80/100\r",
      "      5.5 | 1.4736e-05 | 2.4390e-04 |         725 |    49200000 |           20 |       82000 |         1.0 |iter: 81/100\r",
      "      5.5 | 1.4558e-05 | 2.4096e-04 |         725 |    49800000 |           20 |       83000 |         1.0 |iter: 82/100\r",
      "      5.5 | 1.4385e-05 | 2.3810e-04 |         725 |    50400000 |           20 |       84000 |         1.0 |iter: 83/100\r",
      "      5.5 | 1.4216e-05 | 2.3529e-04 |         725 |    51000000 |           20 |       85000 |         1.0 |iter: 84/100\r",
      "      5.5 | 1.4050e-05 | 2.3256e-04 |         725 |    51600000 |           20 |       86000 |         1.1 |iter: 85/100\r",
      "      5.5 | 1.3889e-05 | 2.2989e-04 |         725 |    52200000 |           20 |       87000 |         1.1 |iter: 86/100\r",
      "      5.5 | 1.3731e-05 | 2.2727e-04 |         725 |    52800000 |           20 |       88000 |         1.1 |iter: 87/100\r",
      "      5.5 | 1.3577e-05 | 2.2472e-04 |         725 |    53400000 |           20 |       89000 |         1.1 |iter: 88/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "      5.5 | 1.3426e-05 | 2.2222e-04 |         725 |    54000000 |           20 |       90000 |         1.1 |iter: 89/100\r",
      "      5.5 | 1.3278e-05 | 2.1978e-04 |         725 |    54600000 |           20 |       91000 |         1.1 |iter: 90/100\r",
      "      5.5 | 1.3134e-05 | 2.1739e-04 |         725 |    55200000 |           20 |       92000 |         1.1 |iter: 91/100\r",
      "      5.5 | 1.2993e-05 | 2.1505e-04 |         725 |    55800000 |           20 |       93000 |         1.1 |iter: 92/100\r",
      "      5.5 | 1.2855e-05 | 2.1277e-04 |         725 |    56400000 |           20 |       94000 |         1.2 |iter: 93/100\r",
      "      5.5 | 1.2719e-05 | 2.1053e-04 |         725 |    57000000 |           20 |       95000 |         1.2 |iter: 94/100\r",
      "      5.5 | 1.2587e-05 | 2.0833e-04 |         725 |    57600000 |           20 |       96000 |         1.2 |iter: 95/100\r",
      "      5.5 | 1.2457e-05 | 2.0619e-04 |         725 |    58200000 |           20 |       97000 |         1.2 |iter: 96/100\r",
      "      5.5 | 1.2330e-05 | 2.0408e-04 |         725 |    58800000 |           20 |       98000 |         1.2 |iter: 97/100\r",
      "      5.5 | 1.2205e-05 | 2.0202e-04 |         725 |    59400000 |           20 |       99000 |         1.2 |iter: 98/100\r",
      "      5.5 | 1.2083e-05 | 2.0000e-04 |         725 |    60000000 |           20 |      100000 |         1.2 |iter: 99/100\r",
      "      5.5 | 1.2083e-05 | 2.0000e-04 |         725 |    60000000 |           20 |      100000 |         1.2 |reached max iterations\n",
      "      6.0 | 0.0000e+00 | 0.0000e+00 |           0 |      600000 |            0 |        1000 |         0.0 |iter: 0/100\r",
      "      6.0 | 0.0000e+00 | 0.0000e+00 |           0 |     1200000 |            0 |        2000 |         0.0 |iter: 1/100\r",
      "      6.0 | 0.0000e+00 | 0.0000e+00 |           0 |     1800000 |            0 |        3000 |         0.0 |iter: 2/100\r",
      "      6.0 | 0.0000e+00 | 0.0000e+00 |           0 |     2400000 |            0 |        4000 |         0.0 |iter: 3/100\r",
      "      6.0 | 0.0000e+00 | 0.0000e+00 |           0 |     3000000 |            0 |        5000 |         0.1 |iter: 4/100\r",
      "      6.0 | 0.0000e+00 | 0.0000e+00 |           0 |     3600000 |            0 |        6000 |         0.1 |iter: 5/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "      6.0 | 0.0000e+00 | 0.0000e+00 |           0 |     4200000 |            0 |        7000 |         0.1 |iter: 6/100\r",
      "      6.0 | 0.0000e+00 | 0.0000e+00 |           0 |     4800000 |            0 |        8000 |         0.1 |iter: 7/100\r",
      "      6.0 | 0.0000e+00 | 0.0000e+00 |           0 |     5400000 |            0 |        9000 |         0.1 |iter: 8/100\r",
      "      6.0 | 0.0000e+00 | 0.0000e+00 |           0 |     6000000 |            0 |       10000 |         0.1 |iter: 9/100\r",
      "      6.0 | 0.0000e+00 | 0.0000e+00 |           0 |     6600000 |            0 |       11000 |         0.1 |iter: 10/100\r",
      "      6.0 | 0.0000e+00 | 0.0000e+00 |           0 |     7200000 |            0 |       12000 |         0.1 |iter: 11/100\r",
      "      6.0 | 0.0000e+00 | 0.0000e+00 |           0 |     7800000 |            0 |       13000 |         0.2 |iter: 12/100\r",
      "      6.0 | 0.0000e+00 | 0.0000e+00 |           0 |     8400000 |            0 |       14000 |         0.2 |iter: 13/100\r",
      "      6.0 | 0.0000e+00 | 0.0000e+00 |           0 |     9000000 |            0 |       15000 |         0.2 |iter: 14/100\r",
      "      6.0 | 0.0000e+00 | 0.0000e+00 |           0 |     9600000 |            0 |       16000 |         0.2 |iter: 15/100\r",
      "      6.0 | 0.0000e+00 | 0.0000e+00 |           0 |    10200000 |            0 |       17000 |         0.2 |iter: 16/100\r",
      "      6.0 | 0.0000e+00 | 0.0000e+00 |           0 |    10800000 |            0 |       18000 |         0.2 |iter: 17/100\r",
      "      6.0 | 0.0000e+00 | 0.0000e+00 |           0 |    11400000 |            0 |       19000 |         0.2 |iter: 18/100\r",
      "      6.0 | 0.0000e+00 | 0.0000e+00 |           0 |    12000000 |            0 |       20000 |         0.2 |iter: 19/100\r",
      "      6.0 | 0.0000e+00 | 0.0000e+00 |           0 |    12600000 |            0 |       21000 |         0.3 |iter: 20/100\r",
      "      6.0 | 0.0000e+00 | 0.0000e+00 |           0 |    13200000 |            0 |       22000 |         0.3 |iter: 21/100\r",
      "      6.0 | 0.0000e+00 | 0.0000e+00 |           0 |    13800000 |            0 |       23000 |         0.3 |iter: 22/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "      6.0 | 0.0000e+00 | 0.0000e+00 |           0 |    14400000 |            0 |       24000 |         0.3 |iter: 23/100\r",
      "      6.0 | 0.0000e+00 | 0.0000e+00 |           0 |    15000000 |            0 |       25000 |         0.3 |iter: 24/100\r",
      "      6.0 | 0.0000e+00 | 0.0000e+00 |           0 |    15600000 |            0 |       26000 |         0.3 |iter: 25/100\r",
      "      6.0 | 0.0000e+00 | 0.0000e+00 |           0 |    16200000 |            0 |       27000 |         0.3 |iter: 26/100\r",
      "      6.0 | 0.0000e+00 | 0.0000e+00 |           0 |    16800000 |            0 |       28000 |         0.3 |iter: 27/100\r",
      "      6.0 | 0.0000e+00 | 0.0000e+00 |           0 |    17400000 |            0 |       29000 |         0.4 |iter: 28/100\r",
      "      6.0 | 0.0000e+00 | 0.0000e+00 |           0 |    18000000 |            0 |       30000 |         0.4 |iter: 29/100\r",
      "      6.0 | 0.0000e+00 | 0.0000e+00 |           0 |    18600000 |            0 |       31000 |         0.4 |iter: 30/100\r",
      "      6.0 | 0.0000e+00 | 0.0000e+00 |           0 |    19200000 |            0 |       32000 |         0.4 |iter: 31/100\r",
      "      6.0 | 0.0000e+00 | 0.0000e+00 |           0 |    19800000 |            0 |       33000 |         0.4 |iter: 32/100\r",
      "      6.0 | 0.0000e+00 | 0.0000e+00 |           0 |    20400000 |            0 |       34000 |         0.4 |iter: 33/100\r",
      "      6.0 | 0.0000e+00 | 0.0000e+00 |           0 |    21000000 |            0 |       35000 |         0.4 |iter: 34/100\r",
      "      6.0 | 0.0000e+00 | 0.0000e+00 |           0 |    21600000 |            0 |       36000 |         0.4 |iter: 35/100\r",
      "      6.0 | 0.0000e+00 | 0.0000e+00 |           0 |    22200000 |            0 |       37000 |         0.5 |iter: 36/100\r",
      "      6.0 | 0.0000e+00 | 0.0000e+00 |           0 |    22800000 |            0 |       38000 |         0.5 |iter: 37/100\r",
      "      6.0 | 0.0000e+00 | 0.0000e+00 |           0 |    23400000 |            0 |       39000 |         0.5 |iter: 38/100\r",
      "      6.0 | 0.0000e+00 | 0.0000e+00 |           0 |    24000000 |            0 |       40000 |         0.5 |iter: 39/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "      6.0 | 0.0000e+00 | 0.0000e+00 |           0 |    24600000 |            0 |       41000 |         0.5 |iter: 40/100\r",
      "      6.0 | 0.0000e+00 | 0.0000e+00 |           0 |    25200000 |            0 |       42000 |         0.5 |iter: 41/100\r",
      "      6.0 | 0.0000e+00 | 0.0000e+00 |           0 |    25800000 |            0 |       43000 |         0.5 |iter: 42/100\r",
      "      6.0 | 0.0000e+00 | 0.0000e+00 |           0 |    26400000 |            0 |       44000 |         0.5 |iter: 43/100\r",
      "      6.0 | 0.0000e+00 | 0.0000e+00 |           0 |    27000000 |            0 |       45000 |         0.6 |iter: 44/100\r",
      "      6.0 | 0.0000e+00 | 0.0000e+00 |           0 |    27600000 |            0 |       46000 |         0.6 |iter: 45/100\r",
      "      6.0 | 0.0000e+00 | 0.0000e+00 |           0 |    28200000 |            0 |       47000 |         0.6 |iter: 46/100\r",
      "      6.0 | 0.0000e+00 | 0.0000e+00 |           0 |    28800000 |            0 |       48000 |         0.6 |iter: 47/100\r",
      "      6.0 | 0.0000e+00 | 0.0000e+00 |           0 |    29400000 |            0 |       49000 |         0.6 |iter: 48/100\r",
      "      6.0 | 0.0000e+00 | 0.0000e+00 |           0 |    30000000 |            0 |       50000 |         0.6 |iter: 49/100\r",
      "      6.0 | 0.0000e+00 | 0.0000e+00 |           0 |    30600000 |            0 |       51000 |         0.6 |iter: 50/100\r",
      "      6.0 | 0.0000e+00 | 0.0000e+00 |           0 |    31200000 |            0 |       52000 |         0.6 |iter: 51/100\r",
      "      6.0 | 0.0000e+00 | 0.0000e+00 |           0 |    31800000 |            0 |       53000 |         0.6 |iter: 52/100\r",
      "      6.0 | 0.0000e+00 | 0.0000e+00 |           0 |    32400000 |            0 |       54000 |         0.7 |iter: 53/100\r",
      "      6.0 | 0.0000e+00 | 0.0000e+00 |           0 |    33000000 |            0 |       55000 |         0.7 |iter: 54/100\r",
      "      6.0 | 0.0000e+00 | 0.0000e+00 |           0 |    33600000 |            0 |       56000 |         0.7 |iter: 55/100\r",
      "      6.0 | 0.0000e+00 | 0.0000e+00 |           0 |    34200000 |            0 |       57000 |         0.7 |iter: 56/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "      6.0 | 0.0000e+00 | 0.0000e+00 |           0 |    34800000 |            0 |       58000 |         0.7 |iter: 57/100\r",
      "      6.0 | 0.0000e+00 | 0.0000e+00 |           0 |    35400000 |            0 |       59000 |         0.7 |iter: 58/100\r",
      "      6.0 | 0.0000e+00 | 0.0000e+00 |           0 |    36000000 |            0 |       60000 |         0.7 |iter: 59/100\r",
      "      6.0 | 0.0000e+00 | 0.0000e+00 |           0 |    36600000 |            0 |       61000 |         0.7 |iter: 60/100\r",
      "      6.0 | 0.0000e+00 | 0.0000e+00 |           0 |    37200000 |            0 |       62000 |         0.8 |iter: 61/100\r",
      "      6.0 | 0.0000e+00 | 0.0000e+00 |           0 |    37800000 |            0 |       63000 |         0.8 |iter: 62/100\r",
      "      6.0 | 0.0000e+00 | 0.0000e+00 |           0 |    38400000 |            0 |       64000 |         0.8 |iter: 63/100\r",
      "      6.0 | 0.0000e+00 | 0.0000e+00 |           0 |    39000000 |            0 |       65000 |         0.8 |iter: 64/100\r",
      "      6.0 | 0.0000e+00 | 0.0000e+00 |           0 |    39600000 |            0 |       66000 |         0.8 |iter: 65/100\r",
      "      6.0 | 0.0000e+00 | 0.0000e+00 |           0 |    40200000 |            0 |       67000 |         0.8 |iter: 66/100\r",
      "      6.0 | 0.0000e+00 | 0.0000e+00 |           0 |    40800000 |            0 |       68000 |         0.8 |iter: 67/100\r",
      "      6.0 | 0.0000e+00 | 0.0000e+00 |           0 |    41400000 |            0 |       69000 |         0.8 |iter: 68/100\r",
      "      6.0 | 0.0000e+00 | 0.0000e+00 |           0 |    42000000 |            0 |       70000 |         0.9 |iter: 69/100\r",
      "      6.0 | 0.0000e+00 | 0.0000e+00 |           0 |    42600000 |            0 |       71000 |         0.9 |iter: 70/100\r",
      "      6.0 | 0.0000e+00 | 0.0000e+00 |           0 |    43200000 |            0 |       72000 |         0.9 |iter: 71/100\r",
      "      6.0 | 0.0000e+00 | 0.0000e+00 |           0 |    43800000 |            0 |       73000 |         0.9 |iter: 72/100\r",
      "      6.0 | 0.0000e+00 | 0.0000e+00 |           0 |    44400000 |            0 |       74000 |         0.9 |iter: 73/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "      6.0 | 0.0000e+00 | 0.0000e+00 |           0 |    45000000 |            0 |       75000 |         0.9 |iter: 74/100\r",
      "      6.0 | 0.0000e+00 | 0.0000e+00 |           0 |    45600000 |            0 |       76000 |         0.9 |iter: 75/100\r",
      "      6.0 | 0.0000e+00 | 0.0000e+00 |           0 |    46200000 |            0 |       77000 |         0.9 |iter: 76/100\r",
      "      6.0 | 0.0000e+00 | 0.0000e+00 |           0 |    46800000 |            0 |       78000 |         1.0 |iter: 77/100\r",
      "      6.0 | 0.0000e+00 | 0.0000e+00 |           0 |    47400000 |            0 |       79000 |         1.0 |iter: 78/100\r",
      "      6.0 | 0.0000e+00 | 0.0000e+00 |           0 |    48000000 |            0 |       80000 |         1.0 |iter: 79/100\r",
      "      6.0 | 0.0000e+00 | 0.0000e+00 |           0 |    48600000 |            0 |       81000 |         1.0 |iter: 80/100\r",
      "      6.0 | 0.0000e+00 | 0.0000e+00 |           0 |    49200000 |            0 |       82000 |         1.0 |iter: 81/100\r",
      "      6.0 | 0.0000e+00 | 0.0000e+00 |           0 |    49800000 |            0 |       83000 |         1.0 |iter: 82/100\r",
      "      6.0 | 0.0000e+00 | 0.0000e+00 |           0 |    50400000 |            0 |       84000 |         1.0 |iter: 83/100\r",
      "      6.0 | 0.0000e+00 | 0.0000e+00 |           0 |    51000000 |            0 |       85000 |         1.0 |iter: 84/100\r",
      "      6.0 | 0.0000e+00 | 0.0000e+00 |           0 |    51600000 |            0 |       86000 |         1.1 |iter: 85/100\r",
      "      6.0 | 0.0000e+00 | 0.0000e+00 |           0 |    52200000 |            0 |       87000 |         1.1 |iter: 86/100\r",
      "      6.0 | 0.0000e+00 | 0.0000e+00 |           0 |    52800000 |            0 |       88000 |         1.1 |iter: 87/100\r",
      "      6.0 | 0.0000e+00 | 0.0000e+00 |           0 |    53400000 |            0 |       89000 |         1.1 |iter: 88/100\r",
      "      6.0 | 0.0000e+00 | 0.0000e+00 |           0 |    54000000 |            0 |       90000 |         1.1 |iter: 89/100\r",
      "      6.0 | 0.0000e+00 | 0.0000e+00 |           0 |    54600000 |            0 |       91000 |         1.1 |iter: 90/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "      6.0 | 0.0000e+00 | 0.0000e+00 |           0 |    55200000 |            0 |       92000 |         1.1 |iter: 91/100\r",
      "      6.0 | 0.0000e+00 | 0.0000e+00 |           0 |    55800000 |            0 |       93000 |         1.1 |iter: 92/100\r",
      "      6.0 | 0.0000e+00 | 0.0000e+00 |           0 |    56400000 |            0 |       94000 |         1.2 |iter: 93/100\r",
      "      6.0 | 0.0000e+00 | 0.0000e+00 |           0 |    57000000 |            0 |       95000 |         1.2 |iter: 94/100\r",
      "      6.0 | 0.0000e+00 | 0.0000e+00 |           0 |    57600000 |            0 |       96000 |         1.2 |iter: 95/100\r",
      "      6.0 | 0.0000e+00 | 0.0000e+00 |           0 |    58200000 |            0 |       97000 |         1.2 |iter: 96/100\r",
      "      6.0 | 0.0000e+00 | 0.0000e+00 |           0 |    58800000 |            0 |       98000 |         1.2 |iter: 97/100\r",
      "      6.0 | 0.0000e+00 | 0.0000e+00 |           0 |    59400000 |            0 |       99000 |         1.2 |iter: 98/100\r",
      "      6.0 | 0.0000e+00 | 0.0000e+00 |           0 |    60000000 |            0 |      100000 |         1.2 |iter: 99/100\r",
      "      6.0 | 0.0000e+00 | 0.0000e+00 |           0 |    60000000 |            0 |      100000 |         1.2 |reached max iterations\n",
      "\n",
      "Simulation stopped as no error occurred @ EbNo = 6.0 dB.\n",
      "\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1600x1000 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# simulate with mismatched noise estimation\n",
    "model_allzero_16_ms = LDPC_QAM_AWGN(k,\n",
    "                                    n,\n",
    "                                    num_bits_per_symbol=4,\n",
    "                                    use_allzero=False, # full simulation\n",
    "                                    cn_update=\"minsum\", # activate min-sum decoding\n",
    "                                    no_est_mismatch=1.) # no mismatch\n",
    "                                     \n",
    "ber_plot_allzero16qam.simulate(model_allzero_16_ms,\n",
    "                               ebno_dbs=np.arange(0, 7, 0.5),\n",
    "                               legend=\"Min-sum decoding / 16-QAM (no mismatch)\",\n",
    "                               max_mc_iter=100,\n",
    "                               num_target_bit_errors=1000,\n",
    "                               batch_size=1000,\n",
    "                               soft_estimates=False,\n",
    "                               show_fig=True,\n",
    "                               forward_keyboard_interrupt=False,\n",
    "                               compile_mode=\"reduce-overhead\");"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-02-14T00:16:53.403324Z",
     "iopub.status.busy": "2026-02-14T00:16:53.403186Z",
     "iopub.status.idle": "2026-02-14T00:16:56.007386Z",
     "shell.execute_reply": "2026-02-14T00:16:56.006357Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "EbNo [dB] |        BER |       BLER |  bit errors |    num bits | block errors |  num blocks | runtime [s] |    status\n",
      "---------------------------------------------------------------------------------------------------------------------------------------\n",
      "      0.0 | 2.9732e-01 | 1.0000e+00 |      178391 |      600000 |         1000 |        1000 |         0.0 |iter: 0/100\r",
      "      0.0 | 2.9732e-01 | 1.0000e+00 |      178391 |      600000 |         1000 |        1000 |         0.0 |reached target bit errors\n",
      "      0.5 | 2.8638e-01 | 1.0000e+00 |      171827 |      600000 |         1000 |        1000 |         0.0 |iter: 0/100\r",
      "      0.5 | 2.8638e-01 | 1.0000e+00 |      171827 |      600000 |         1000 |        1000 |         0.0 |reached target bit errors\n",
      "      1.0 | 2.7699e-01 | 1.0000e+00 |      166195 |      600000 |         1000 |        1000 |         0.0 |iter: 0/100\r",
      "      1.0 | 2.7699e-01 | 1.0000e+00 |      166195 |      600000 |         1000 |        1000 |         0.0 |reached target bit errors\n",
      "      1.5 | 2.6626e-01 | 1.0000e+00 |      159756 |      600000 |         1000 |        1000 |         0.0 |iter: 0/100\r",
      "      1.5 | 2.6626e-01 | 1.0000e+00 |      159756 |      600000 |         1000 |        1000 |         0.0 |reached target bit errors\n",
      "      2.0 | 2.5405e-01 | 1.0000e+00 |      152429 |      600000 |         1000 |        1000 |         0.0 |iter: 0/100\r",
      "      2.0 | 2.5405e-01 | 1.0000e+00 |      152429 |      600000 |         1000 |        1000 |         0.0 |reached target bit errors\n",
      "      2.5 | 2.4069e-01 | 1.0000e+00 |      144417 |      600000 |         1000 |        1000 |         0.0 |iter: 0/100\r",
      "      2.5 | 2.4069e-01 | 1.0000e+00 |      144417 |      600000 |         1000 |        1000 |         0.0 |reached target bit errors\n",
      "      3.0 | 2.2668e-01 | 1.0000e+00 |      136008 |      600000 |         1000 |        1000 |         0.0 |iter: 0/100\r",
      "      3.0 | 2.2668e-01 | 1.0000e+00 |      136008 |      600000 |         1000 |        1000 |         0.0 |reached target bit errors\n",
      "      3.5 | 2.0087e-01 | 9.8800e-01 |      120524 |      600000 |          988 |        1000 |         0.0 |iter: 0/100\r",
      "      3.5 | 2.0087e-01 | 9.8800e-01 |      120524 |      600000 |          988 |        1000 |         0.0 |reached target bit errors\n",
      "      4.0 | 1.2918e-01 | 8.5600e-01 |       77511 |      600000 |          856 |        1000 |         0.0 |iter: 0/100\r",
      "      4.0 | 1.2918e-01 | 8.5600e-01 |       77511 |      600000 |          856 |        1000 |         0.0 |reached target bit errors\n",
      "      4.5 | 5.2073e-02 | 4.3500e-01 |       31244 |      600000 |          435 |        1000 |         0.0 |iter: 0/100\r",
      "      4.5 | 5.2073e-02 | 4.3500e-01 |       31244 |      600000 |          435 |        1000 |         0.0 |reached target bit errors\n",
      "      5.0 | 9.8483e-03 | 1.1300e-01 |        5909 |      600000 |          113 |        1000 |         0.0 |iter: 0/100\r",
      "      5.0 | 9.8483e-03 | 1.1300e-01 |        5909 |      600000 |          113 |        1000 |         0.0 |reached target bit errors\n",
      "      5.5 | 1.2500e-04 | 2.1000e-02 |          75 |      600000 |           21 |        1000 |         0.0 |iter: 0/100\r",
      "      5.5 | 8.3333e-05 | 1.7500e-02 |         100 |     1200000 |           35 |        2000 |         0.0 |iter: 1/100\r",
      "      5.5 | 2.2333e-04 | 1.8000e-02 |         402 |     1800000 |           54 |        3000 |         0.0 |iter: 2/100\r",
      "      5.5 | 2.1833e-04 | 1.8250e-02 |         524 |     2400000 |           73 |        4000 |         0.0 |iter: 3/100\r",
      "      5.5 | 2.5733e-04 | 1.8800e-02 |         772 |     3000000 |           94 |        5000 |         0.1 |iter: 4/100\r",
      "      5.5 | 2.4472e-04 | 1.8333e-02 |         881 |     3600000 |          110 |        6000 |         0.1 |iter: 5/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "      5.5 | 3.6190e-04 | 1.8000e-02 |        1520 |     4200000 |          126 |        7000 |         0.1 |iter: 6/100\r",
      "      5.5 | 3.6190e-04 | 1.8000e-02 |        1520 |     4200000 |          126 |        7000 |         0.1 |reached target bit errors\n",
      "      6.0 | 1.3333e-05 | 7.0000e-03 |           8 |      600000 |            7 |        1000 |         0.0 |iter: 0/100\r",
      "      6.0 | 1.8333e-05 | 7.0000e-03 |          22 |     1200000 |           14 |        2000 |         0.0 |iter: 1/100\r",
      "      6.0 | 1.6111e-05 | 6.0000e-03 |          29 |     1800000 |           18 |        3000 |         0.0 |iter: 2/100\r",
      "      6.0 | 1.8333e-05 | 7.0000e-03 |          44 |     2400000 |           28 |        4000 |         0.0 |iter: 3/100\r",
      "      6.0 | 1.8333e-05 | 6.8000e-03 |          55 |     3000000 |           34 |        5000 |         0.1 |iter: 4/100\r",
      "      6.0 | 1.9167e-05 | 7.1667e-03 |          69 |     3600000 |           43 |        6000 |         0.1 |iter: 5/100\r",
      "      6.0 | 1.8095e-05 | 6.8571e-03 |          76 |     4200000 |           48 |        7000 |         0.1 |iter: 6/100\r",
      "      6.0 | 1.9583e-05 | 7.2500e-03 |          94 |     4800000 |           58 |        8000 |         0.1 |iter: 7/100\r",
      "      6.0 | 2.0741e-05 | 7.3333e-03 |         112 |     5400000 |           66 |        9000 |         0.1 |iter: 8/100\r",
      "      6.0 | 2.1167e-05 | 7.5000e-03 |         127 |     6000000 |           75 |       10000 |         0.1 |iter: 9/100\r",
      "      6.0 | 1.9848e-05 | 7.0909e-03 |         131 |     6600000 |           78 |       11000 |         0.1 |iter: 10/100\r",
      "      6.0 | 2.0417e-05 | 7.4167e-03 |         147 |     7200000 |           89 |       12000 |         0.1 |iter: 11/100\r",
      "      6.0 | 2.0769e-05 | 7.7692e-03 |         162 |     7800000 |          101 |       13000 |         0.2 |iter: 12/100\r",
      "      6.0 | 1.9524e-05 | 7.3571e-03 |         164 |     8400000 |          103 |       14000 |         0.2 |iter: 13/100\r",
      "      6.0 | 1.9889e-05 | 7.5333e-03 |         179 |     9000000 |          113 |       15000 |         0.2 |iter: 14/100\r",
      "      6.0 | 2.0000e-05 | 7.6875e-03 |         192 |     9600000 |          123 |       16000 |         0.2 |iter: 15/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "      6.0 | 1.9706e-05 | 7.6471e-03 |         201 |    10200000 |          130 |       17000 |         0.2 |iter: 16/100\r",
      "      6.0 | 1.9259e-05 | 7.5556e-03 |         208 |    10800000 |          136 |       18000 |         0.2 |iter: 17/100\r",
      "      6.0 | 2.3772e-05 | 7.5789e-03 |         271 |    11400000 |          144 |       19000 |         0.2 |iter: 18/100\r",
      "      6.0 | 2.3083e-05 | 7.4500e-03 |         277 |    12000000 |          149 |       20000 |         0.2 |iter: 19/100\r",
      "      6.0 | 2.2778e-05 | 7.3333e-03 |         287 |    12600000 |          154 |       21000 |         0.3 |iter: 20/100\r",
      "      6.0 | 2.3258e-05 | 7.5000e-03 |         307 |    13200000 |          165 |       22000 |         0.3 |iter: 21/100\r",
      "      6.0 | 2.2464e-05 | 7.3043e-03 |         310 |    13800000 |          168 |       23000 |         0.3 |iter: 22/100\r",
      "      6.0 | 2.2292e-05 | 7.2500e-03 |         321 |    14400000 |          174 |       24000 |         0.3 |iter: 23/100\r",
      "      6.0 | 2.2600e-05 | 7.4400e-03 |         339 |    15000000 |          186 |       25000 |         0.3 |iter: 24/100\r",
      "      6.0 | 2.2436e-05 | 7.3077e-03 |         350 |    15600000 |          190 |       26000 |         0.3 |iter: 25/100\r",
      "      6.0 | 2.1790e-05 | 7.0741e-03 |         353 |    16200000 |          191 |       27000 |         0.3 |iter: 26/100\r",
      "      6.0 | 2.1429e-05 | 7.0000e-03 |         360 |    16800000 |          196 |       28000 |         0.3 |iter: 27/100\r",
      "      6.0 | 2.1322e-05 | 6.9310e-03 |         371 |    17400000 |          201 |       29000 |         0.4 |iter: 28/100\r",
      "      6.0 | 2.1278e-05 | 6.9000e-03 |         383 |    18000000 |          207 |       30000 |         0.4 |iter: 29/100\r",
      "      6.0 | 2.0699e-05 | 6.7419e-03 |         385 |    18600000 |          209 |       31000 |         0.4 |iter: 30/100\r",
      "      6.0 | 2.0469e-05 | 6.7187e-03 |         393 |    19200000 |          215 |       32000 |         0.4 |iter: 31/100\r",
      "      6.0 | 2.1869e-05 | 6.7576e-03 |         433 |    19800000 |          223 |       33000 |         0.4 |iter: 32/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "      6.0 | 2.1569e-05 | 6.7353e-03 |         440 |    20400000 |          229 |       34000 |         0.4 |iter: 33/100\r",
      "      6.0 | 2.6095e-05 | 6.8857e-03 |         548 |    21000000 |          241 |       35000 |         0.4 |iter: 34/100\r",
      "      6.0 | 2.5833e-05 | 6.8611e-03 |         558 |    21600000 |          247 |       36000 |         0.4 |iter: 35/100\r",
      "      6.0 | 2.5586e-05 | 6.8919e-03 |         568 |    22200000 |          255 |       37000 |         0.5 |iter: 36/100\r",
      "      6.0 | 2.5439e-05 | 6.9474e-03 |         580 |    22800000 |          264 |       38000 |         0.5 |iter: 37/100\r",
      "      6.0 | 2.5085e-05 | 6.8718e-03 |         587 |    23400000 |          268 |       39000 |         0.5 |iter: 38/100\r",
      "      6.0 | 2.8750e-05 | 6.9250e-03 |         690 |    24000000 |          277 |       40000 |         0.5 |iter: 39/100\r",
      "      6.0 | 2.8333e-05 | 6.8780e-03 |         697 |    24600000 |          282 |       41000 |         0.5 |iter: 40/100\r",
      "      6.0 | 2.8056e-05 | 6.8810e-03 |         707 |    25200000 |          289 |       42000 |         0.5 |iter: 41/100\r",
      "      6.0 | 2.7752e-05 | 6.9302e-03 |         716 |    25800000 |          298 |       43000 |         0.5 |iter: 42/100\r",
      "      6.0 | 2.7614e-05 | 6.9318e-03 |         729 |    26400000 |          305 |       44000 |         0.5 |iter: 43/100\r",
      "      6.0 | 2.7444e-05 | 6.9778e-03 |         741 |    27000000 |          314 |       45000 |         0.5 |iter: 44/100\r",
      "      6.0 | 2.7754e-05 | 7.0870e-03 |         766 |    27600000 |          326 |       46000 |         0.6 |iter: 45/100\r",
      "      6.0 | 2.7553e-05 | 7.1277e-03 |         777 |    28200000 |          335 |       47000 |         0.6 |iter: 46/100\r",
      "      6.0 | 2.7812e-05 | 7.1667e-03 |         801 |    28800000 |          344 |       48000 |         0.6 |iter: 47/100\r",
      "      6.0 | 2.7687e-05 | 7.2041e-03 |         814 |    29400000 |          353 |       49000 |         0.6 |iter: 48/100\r",
      "      6.0 | 2.8200e-05 | 7.2000e-03 |         846 |    30000000 |          360 |       50000 |         0.6 |iter: 49/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "      6.0 | 2.8105e-05 | 7.2549e-03 |         860 |    30600000 |          370 |       51000 |         0.6 |iter: 50/100\r",
      "      6.0 | 2.8013e-05 | 7.2500e-03 |         874 |    31200000 |          377 |       52000 |         0.6 |iter: 51/100\r",
      "      6.0 | 2.7610e-05 | 7.1698e-03 |         878 |    31800000 |          380 |       53000 |         0.6 |iter: 52/100\r",
      "      6.0 | 2.7438e-05 | 7.2037e-03 |         889 |    32400000 |          389 |       54000 |         0.7 |iter: 53/100\r",
      "      6.0 | 2.7455e-05 | 7.2909e-03 |         906 |    33000000 |          401 |       55000 |         0.7 |iter: 54/100\r",
      "      6.0 | 2.7262e-05 | 7.3036e-03 |         916 |    33600000 |          409 |       56000 |         0.7 |iter: 55/100\r",
      "      6.0 | 2.7222e-05 | 7.3860e-03 |         931 |    34200000 |          421 |       57000 |         0.7 |iter: 56/100\r",
      "      6.0 | 2.6925e-05 | 7.3621e-03 |         937 |    34800000 |          427 |       58000 |         0.7 |iter: 57/100\r",
      "      6.0 | 2.6864e-05 | 7.4068e-03 |         951 |    35400000 |          437 |       59000 |         0.7 |iter: 58/100\r",
      "      6.0 | 2.6833e-05 | 7.4500e-03 |         966 |    36000000 |          447 |       60000 |         0.7 |iter: 59/100\r",
      "      6.0 | 2.6776e-05 | 7.4590e-03 |         980 |    36600000 |          455 |       61000 |         0.7 |iter: 60/100\r",
      "      6.0 | 2.6694e-05 | 7.4516e-03 |         993 |    37200000 |          462 |       62000 |         0.8 |iter: 61/100\r",
      "      6.0 | 2.6693e-05 | 7.4444e-03 |        1009 |    37800000 |          469 |       63000 |         0.8 |iter: 62/100\r",
      "      6.0 | 2.6693e-05 | 7.4444e-03 |        1009 |    37800000 |          469 |       63000 |         0.8 |reached target bit errors\n",
      "      6.5 | 1.0000e-05 | 5.0000e-03 |           6 |      600000 |            5 |        1000 |         0.0 |iter: 0/100\r",
      "      6.5 | 1.3333e-05 | 5.0000e-03 |          16 |     1200000 |           10 |        2000 |         0.0 |iter: 1/100\r",
      "      6.5 | 1.2778e-05 | 5.6667e-03 |          23 |     1800000 |           17 |        3000 |         0.0 |iter: 2/100\r",
      "      6.5 | 1.4167e-05 | 6.0000e-03 |          34 |     2400000 |           24 |        4000 |         0.0 |iter: 3/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "      6.5 | 1.3333e-05 | 5.8000e-03 |          40 |     3000000 |           29 |        5000 |         0.1 |iter: 4/100\r",
      "      6.5 | 1.2222e-05 | 5.3333e-03 |          44 |     3600000 |           32 |        6000 |         0.1 |iter: 5/100\r",
      "      6.5 | 1.1429e-05 | 5.1429e-03 |          48 |     4200000 |           36 |        7000 |         0.1 |iter: 6/100\r",
      "      6.5 | 1.0625e-05 | 4.8750e-03 |          51 |     4800000 |           39 |        8000 |         0.1 |iter: 7/100\r",
      "      6.5 | 1.0926e-05 | 4.8889e-03 |          59 |     5400000 |           44 |        9000 |         0.1 |iter: 8/100\r",
      "      6.5 | 1.0500e-05 | 4.7000e-03 |          63 |     6000000 |           47 |       10000 |         0.1 |iter: 9/100\r",
      "      6.5 | 1.0152e-05 | 4.5455e-03 |          67 |     6600000 |           50 |       11000 |         0.1 |iter: 10/100\r",
      "      6.5 | 9.8611e-06 | 4.5000e-03 |          71 |     7200000 |           54 |       12000 |         0.1 |iter: 11/100\r",
      "      6.5 | 9.6154e-06 | 4.4615e-03 |          75 |     7800000 |           58 |       13000 |         0.2 |iter: 12/100\r",
      "      6.5 | 9.8810e-06 | 4.5000e-03 |          83 |     8400000 |           63 |       14000 |         0.2 |iter: 13/100\r",
      "      6.5 | 1.0111e-05 | 4.6667e-03 |          91 |     9000000 |           70 |       15000 |         0.2 |iter: 14/100\r",
      "      6.5 | 1.0625e-05 | 4.8125e-03 |         102 |     9600000 |           77 |       16000 |         0.2 |iter: 15/100\r",
      "      6.5 | 1.0980e-05 | 4.9412e-03 |         112 |    10200000 |           84 |       17000 |         0.2 |iter: 16/100\r",
      "      6.5 | 1.0741e-05 | 4.8889e-03 |         116 |    10800000 |           88 |       18000 |         0.2 |iter: 17/100\r",
      "      6.5 | 1.0614e-05 | 4.8947e-03 |         121 |    11400000 |           93 |       19000 |         0.2 |iter: 18/100\r",
      "      6.5 | 1.0750e-05 | 4.9000e-03 |         129 |    12000000 |           98 |       20000 |         0.2 |iter: 19/100\r",
      "      6.5 | 1.0635e-05 | 4.8571e-03 |         134 |    12600000 |          102 |       21000 |         0.3 |iter: 20/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "      6.5 | 1.0379e-05 | 4.7727e-03 |         137 |    13200000 |          105 |       22000 |         0.3 |iter: 21/100\r",
      "      6.5 | 1.0652e-05 | 4.9130e-03 |         147 |    13800000 |          113 |       23000 |         0.3 |iter: 22/100\r",
      "      6.5 | 1.0694e-05 | 4.9583e-03 |         154 |    14400000 |          119 |       24000 |         0.3 |iter: 23/100\r",
      "      6.5 | 1.0467e-05 | 4.8400e-03 |         157 |    15000000 |          121 |       25000 |         0.3 |iter: 24/100\r",
      "      6.5 | 1.0449e-05 | 4.8846e-03 |         163 |    15600000 |          127 |       26000 |         0.3 |iter: 25/100\r",
      "      6.5 | 1.0185e-05 | 4.7407e-03 |         165 |    16200000 |          128 |       27000 |         0.3 |iter: 26/100\r",
      "      6.5 | 1.0060e-05 | 4.7143e-03 |         169 |    16800000 |          132 |       28000 |         0.3 |iter: 27/100\r",
      "      6.5 | 9.7701e-06 | 4.5862e-03 |         170 |    17400000 |          133 |       29000 |         0.4 |iter: 28/100\r",
      "      6.5 | 9.7222e-06 | 4.5667e-03 |         175 |    18000000 |          137 |       30000 |         0.4 |iter: 29/100\r",
      "      6.5 | 9.5699e-06 | 4.5161e-03 |         178 |    18600000 |          140 |       31000 |         0.4 |iter: 30/100\r",
      "      6.5 | 9.3229e-06 | 4.4062e-03 |         179 |    19200000 |          141 |       32000 |         0.4 |iter: 31/100\r",
      "      6.5 | 9.3434e-06 | 4.4242e-03 |         185 |    19800000 |          146 |       33000 |         0.4 |iter: 32/100\r",
      "      6.5 | 9.6078e-06 | 4.4412e-03 |         196 |    20400000 |          151 |       34000 |         0.4 |iter: 33/100\r",
      "      6.5 | 9.6667e-06 | 4.4857e-03 |         203 |    21000000 |          157 |       35000 |         0.4 |iter: 34/100\r",
      "      6.5 | 9.6296e-06 | 4.4444e-03 |         208 |    21600000 |          160 |       36000 |         0.4 |iter: 35/100\r",
      "      6.5 | 9.5946e-06 | 4.4324e-03 |         213 |    22200000 |          164 |       37000 |         0.5 |iter: 36/100\r",
      "      6.5 | 9.6930e-06 | 4.4474e-03 |         221 |    22800000 |          169 |       38000 |         0.5 |iter: 37/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "      6.5 | 9.9145e-06 | 4.5897e-03 |         232 |    23400000 |          179 |       39000 |         0.5 |iter: 38/100\r",
      "      6.5 | 1.0083e-05 | 4.6500e-03 |         242 |    24000000 |          186 |       40000 |         0.5 |iter: 39/100\r",
      "      6.5 | 1.0081e-05 | 4.6341e-03 |         248 |    24600000 |          190 |       41000 |         0.5 |iter: 40/100\r",
      "      6.5 | 9.9603e-06 | 4.5952e-03 |         251 |    25200000 |          193 |       42000 |         0.5 |iter: 41/100\r",
      "      6.5 | 9.9225e-06 | 4.5814e-03 |         256 |    25800000 |          197 |       43000 |         0.5 |iter: 42/100\r",
      "      6.5 | 9.8485e-06 | 4.5682e-03 |         260 |    26400000 |          201 |       44000 |         0.5 |iter: 43/100\r",
      "      6.5 | 9.8889e-06 | 4.5778e-03 |         267 |    27000000 |          206 |       45000 |         0.6 |iter: 44/100\r",
      "      6.5 | 9.9638e-06 | 4.5870e-03 |         275 |    27600000 |          211 |       46000 |         0.6 |iter: 45/100\r",
      "      6.5 | 9.9291e-06 | 4.5745e-03 |         280 |    28200000 |          215 |       47000 |         0.6 |iter: 46/100\r",
      "      6.5 | 1.0069e-05 | 4.6250e-03 |         290 |    28800000 |          222 |       48000 |         0.6 |iter: 47/100\r",
      "      6.5 | 1.0408e-05 | 4.6531e-03 |         306 |    29400000 |          228 |       49000 |         0.6 |iter: 48/100\r",
      "      6.5 | 1.0433e-05 | 4.6800e-03 |         313 |    30000000 |          234 |       50000 |         0.6 |iter: 49/100\r",
      "      6.5 | 1.0588e-05 | 4.7451e-03 |         324 |    30600000 |          242 |       51000 |         0.6 |iter: 50/100\r",
      "      6.5 | 1.0513e-05 | 4.7308e-03 |         328 |    31200000 |          246 |       52000 |         0.6 |iter: 51/100\r",
      "      6.5 | 1.0566e-05 | 4.7736e-03 |         336 |    31800000 |          253 |       53000 |         0.6 |iter: 52/100\r",
      "      6.5 | 1.0432e-05 | 4.7222e-03 |         338 |    32400000 |          255 |       54000 |         0.7 |iter: 53/100\r",
      "      6.5 | 1.0515e-05 | 4.7636e-03 |         347 |    33000000 |          262 |       55000 |         0.7 |iter: 54/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "      6.5 | 1.0417e-05 | 4.7321e-03 |         350 |    33600000 |          265 |       56000 |         0.7 |iter: 55/100\r",
      "      6.5 | 1.0380e-05 | 4.7368e-03 |         355 |    34200000 |          270 |       57000 |         0.7 |iter: 56/100\r",
      "      6.5 | 1.0431e-05 | 4.7759e-03 |         363 |    34800000 |          277 |       58000 |         0.7 |iter: 57/100\r",
      "      6.5 | 1.0339e-05 | 4.7288e-03 |         366 |    35400000 |          279 |       59000 |         0.7 |iter: 58/100\r",
      "      6.5 | 1.0417e-05 | 4.7500e-03 |         375 |    36000000 |          285 |       60000 |         0.7 |iter: 59/100\r",
      "      6.5 | 1.0383e-05 | 4.7377e-03 |         380 |    36600000 |          289 |       61000 |         0.7 |iter: 60/100\r",
      "      6.5 | 1.0538e-05 | 4.8065e-03 |         392 |    37200000 |          298 |       62000 |         0.8 |iter: 61/100\r",
      "      6.5 | 1.0529e-05 | 4.7778e-03 |         398 |    37800000 |          301 |       63000 |         0.8 |iter: 62/100\r",
      "      6.5 | 1.0469e-05 | 4.7500e-03 |         402 |    38400000 |          304 |       64000 |         0.8 |iter: 63/100\r",
      "      6.5 | 1.0385e-05 | 4.7231e-03 |         405 |    39000000 |          307 |       65000 |         0.8 |iter: 64/100\r",
      "      6.5 | 1.0354e-05 | 4.6970e-03 |         410 |    39600000 |          310 |       66000 |         0.8 |iter: 65/100\r",
      "      6.5 | 1.0274e-05 | 4.6567e-03 |         413 |    40200000 |          312 |       67000 |         0.8 |iter: 66/100\r",
      "      6.5 | 1.0270e-05 | 4.6618e-03 |         419 |    40800000 |          317 |       68000 |         0.8 |iter: 67/100\r",
      "      6.5 | 1.0169e-05 | 4.6232e-03 |         421 |    41400000 |          319 |       69000 |         0.8 |iter: 68/100\r",
      "      6.5 | 1.0262e-05 | 4.6571e-03 |         431 |    42000000 |          326 |       70000 |         0.9 |iter: 69/100\r",
      "      6.5 | 1.0211e-05 | 4.6479e-03 |         435 |    42600000 |          330 |       71000 |         0.9 |iter: 70/100\r",
      "      6.5 | 1.0486e-05 | 4.7361e-03 |         453 |    43200000 |          341 |       72000 |         0.9 |iter: 71/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "      6.5 | 1.0457e-05 | 4.7397e-03 |         458 |    43800000 |          346 |       73000 |         0.9 |iter: 72/100\r",
      "      6.5 | 1.0473e-05 | 4.7568e-03 |         465 |    44400000 |          352 |       74000 |         0.9 |iter: 73/100\r",
      "      6.5 | 1.0489e-05 | 4.7733e-03 |         472 |    45000000 |          358 |       75000 |         0.9 |iter: 74/100\r",
      "      6.5 | 1.0482e-05 | 4.7632e-03 |         478 |    45600000 |          362 |       76000 |         0.9 |iter: 75/100\r",
      "      6.5 | 1.0411e-05 | 4.7403e-03 |         481 |    46200000 |          365 |       77000 |         0.9 |iter: 76/100\r",
      "      6.5 | 1.0385e-05 | 4.7308e-03 |         486 |    46800000 |          369 |       78000 |         1.0 |iter: 77/100\r",
      "      6.5 | 1.0274e-05 | 4.6835e-03 |         487 |    47400000 |          370 |       79000 |         1.0 |iter: 78/100\r",
      "      6.5 | 1.0437e-05 | 4.7750e-03 |         501 |    48000000 |          382 |       80000 |         1.0 |iter: 79/100\r",
      "      6.5 | 1.0453e-05 | 4.8025e-03 |         508 |    48600000 |          389 |       81000 |         1.0 |iter: 80/100\r",
      "      6.5 | 1.0427e-05 | 4.7927e-03 |         513 |    49200000 |          393 |       82000 |         1.0 |iter: 81/100\r",
      "      6.5 | 1.0382e-05 | 4.7831e-03 |         517 |    49800000 |          397 |       83000 |         1.0 |iter: 82/100\r",
      "      6.5 | 1.0337e-05 | 4.7619e-03 |         521 |    50400000 |          400 |       84000 |         1.0 |iter: 83/100\r",
      "      6.5 | 1.0471e-05 | 4.8000e-03 |         534 |    51000000 |          408 |       85000 |         1.0 |iter: 84/100\r",
      "      6.5 | 1.0678e-05 | 4.8721e-03 |         551 |    51600000 |          419 |       86000 |         1.1 |iter: 85/100\r",
      "      6.5 | 1.0862e-05 | 4.9195e-03 |         567 |    52200000 |          428 |       87000 |         1.1 |iter: 86/100\r",
      "      6.5 | 1.0833e-05 | 4.8977e-03 |         572 |    52800000 |          431 |       88000 |         1.1 |iter: 87/100\r",
      "      6.5 | 1.0805e-05 | 4.8989e-03 |         577 |    53400000 |          436 |       89000 |         1.1 |iter: 88/100\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "      6.5 | 1.0778e-05 | 4.8889e-03 |         582 |    54000000 |          440 |       90000 |         1.1 |iter: 89/100\r",
      "      6.5 | 1.0842e-05 | 4.9121e-03 |         592 |    54600000 |          447 |       91000 |         1.1 |iter: 90/100\r",
      "      6.5 | 1.0779e-05 | 4.8913e-03 |         595 |    55200000 |          450 |       92000 |         1.1 |iter: 91/100\r",
      "      6.5 | 1.0771e-05 | 4.8817e-03 |         601 |    55800000 |          454 |       93000 |         1.1 |iter: 92/100\r",
      "      6.5 | 1.0762e-05 | 4.8723e-03 |         607 |    56400000 |          458 |       94000 |         1.2 |iter: 93/100\r",
      "      6.5 | 1.0754e-05 | 4.8842e-03 |         613 |    57000000 |          464 |       95000 |         1.2 |iter: 94/100\r",
      "      6.5 | 1.0764e-05 | 4.8958e-03 |         620 |    57600000 |          470 |       96000 |         1.2 |iter: 95/100\r",
      "      6.5 | 1.0808e-05 | 4.9072e-03 |         629 |    58200000 |          476 |       97000 |         1.2 |iter: 96/100\r",
      "      6.5 | 1.0884e-05 | 4.9286e-03 |         640 |    58800000 |          483 |       98000 |         1.2 |iter: 97/100\r",
      "      6.5 | 1.0808e-05 | 4.8990e-03 |         642 |    59400000 |          485 |       99000 |         1.2 |iter: 98/100\r",
      "      6.5 | 1.0883e-05 | 4.9100e-03 |         653 |    60000000 |          491 |      100000 |         1.2 |iter: 99/100\r",
      "      6.5 | 1.0883e-05 | 4.9100e-03 |         653 |    60000000 |          491 |      100000 |         1.2 |reached max iterations\n"
     ]
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1600x1000 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# simulate with mismatched noise estimation\n",
    "model_allzero_16_ms = LDPC_QAM_AWGN(k,\n",
    "                                    n,\n",
    "                                    num_bits_per_symbol=4,\n",
    "                                    use_allzero=False, # full simulation\n",
    "                                    cn_update=\"minsum\", # activate min-sum decoding\n",
    "                                    no_est_mismatch=0.15) # noise_var mismatch at demapper\n",
    "                                     \n",
    "ber_plot_allzero16qam.simulate(model_allzero_16_ms,\n",
    "                            ebno_dbs=np.arange(0, 7, 0.5),\n",
    "                            legend=\"Min-sum decoding / 16-QAM (with mismatch)\",\n",
    "                            max_mc_iter=100,\n",
    "                            num_target_bit_errors=1000,\n",
    "                            batch_size=1000,\n",
    "                            soft_estimates=False,\n",
    "                            show_fig=True,\n",
    "                            forward_keyboard_interrupt=False,\n",
    "                            compile_mode=\"reduce-overhead\");"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Interestingly, *min-sum* decoding is more robust w.r.t. inaccurate LLR estimations. \n",
    "It is worth mentioning that *min-sum* decoding itself causes a performance loss. However, more advanced min-sum-based decoding approaches (offset-corrected min-sum) can operate close to *full BP* decoding.\n",
    "\n",
    "You can also try:\n",
    "\n",
    "- What happens with max-log demapping?\n",
    "- Implement offset corrected min-sum decoding\n",
    "- Have a closer look at the error-floor behavior\n",
    "- Apply the concept of [Weighted BP](https://nvlabs.github.io/sionna/phy/tutorials/notebooks/Weighted_BP_Algorithm.html) to mismatched demapping"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## References\n",
    "\n",
    "[1] E. Zehavi, \"8-PSK Trellis Codes for a Rayleigh Channel,\" IEEE Transactions on Communications, vol. 40, no. 5, 1992.\n",
    "\n",
    "[2] G. Caire, G. Taricco and E. Biglieri, \"Bit-interleaved Coded Modulation,\" IEEE Transactions on Information Theory, vol. 44, no. 3, 1998.\n",
    "\n",
    "[3] G. Ungerb\u00f6ck, \"Channel Coding with Multilevel/Phase Signals.\"IEEE Transactions on Information Theory, vol. 28, no. 1, 1982.\n",
    "\n",
    "[4] J. L. Massey, \u201cCoding and modulation in digital communications,\u201d in Proc. Int. Zurich Seminar Commun., 1974.\n",
    "\n",
    "[5] G. B\u00f6cherer, \"Principles of Coded Modulation,\" Habilitation thesis, Tech. Univ. Munich, Munich, Germany, 2018.\n",
    "\n",
    "[6] F. Schreckenbach, \"Iterative Decoding of Bit-Interleaved Coded Modulation\", PhD thesis, Tech. Univ. Munich, Munich, Germany, 2007.\n",
    "\n",
    "[7] S. ten Brink, \u201cConvergence Behavior of Iteratively Decoded Parallel Concatenated Codes,\u201d IEEE Transactions on Communications, vol. 49, no. 10, pp. 1727-1737, 2001.\n",
    "\n",
    "[8] S. ten Brink, G. Kramer, and A. Ashikhmin, \u201cDesign of low-density parity-check codes for modulation and detection,\u201d IEEE Trans. Commun., vol. 52, no. 4, pp. 670\u2013678, Apr. 2004.\n",
    "\n",
    "[9] J. Hou, P. H. Siegel, L. B. Milstein, and H. D. Pfister, \u201cCapacity-approaching bandwidth-efficient coded modulation schemes based on low-density parity-check codes,\u201d IEEE Trans. Inform. Theory, vol. 49, no. 9, pp. 2141\u20132155, 2003.\n",
    "\n",
    "[10] A. Alvarado, L. Szczecinski, R. Feick, and L. Ahumada, \"Distribution of L-values in Gray-mapped M 2-QAM: Closed-form approximations and applications,\" IEEE Transactions on Communications, vol. 57, no. 7, pp. 2071-2079, 2009.\n",
    "\n",
    "[11] ETSI 3GPP TS 38.212 \u201c5G NR Multiplexing and channel coding\u201d, v.16.5.0, 2021-03."
   ]
  }
 ],
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