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    "---\n",
    "title: \"Equal Sum Khipus — Statistical Analysis\"\n",
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    "**Author:** Agustín Da Fieno Delucchi  \n",
    "**Role:** Data Scientist  \n",
    "**Date:** March 13, 2026\n",
    "\n",
    "---\n",
    "\n",
    "An **Equal Sum** cord is one whose knotted value equals the sum of pendant cords to its left\n",
    "**and simultaneously** the sum of pendant cords to its right:\n",
    "\n",
    "$$\\sum_{j=\\text{left}_A}^{\\text{left}_B} v_j \\;=\\; v_i \\;=\\; \\sum_{k=\\text{right}_C}^{\\text{right}_D} v_k$$\n",
    "\n",
    "Three fieldmark conventions detect this pattern — **PPS** (contiguous position), **CPS** (shared color), and **IPS** (positional index within groups) — each requiring at least two summands on each side.\n",
    "\n",
    "Two cultural hypotheses give this structure meaning: it may encode ***ayni*** (reciprocal exchange between communities, mirrored in the balanced equation) or **double-entry accounting** (the same total registered as both asset and obligation). Both are tested across seven sections.\n",
    "\n",
    "**§1** establishes that Equal Sums are widespread — present in ~27 % of the 702-khipu corpus — and heavily skewed toward PPS.<br><br>\n",
    "**§2** shows they are structurally constrained: Equal Sum khipus are five times larger than non-Equal Sum ones, and Equal Sum density scales as a power law of khipu size.<br><br>\n",
    "**§3** rules out coincidence: the observed count is 346× the Poisson null expectation, making intentional design the only viable explanation.<br><br>\n",
    "**§4** asks whether Equal Sums concentrate in seriated or banded cord groups, and finds no significant preference once the corpus baseline is controlled.<br><br>\n",
    "**§5** examines summand symmetry: roughly equal summand counts are compatible with reciprocal or cross-tabular interpretations, including possible relationships to ayni, but summand-count symmetry alone does not establish reciprocal exchange.\n",
    ". Unequal summand counts likewise do not, by themselves, demonstrate double-entry accounting.<br><br>\n",
    "**§6** characterizes the asymmetric minority — cords that extend one run further than the other — and finds a center-out value gradient of ρ = −0.64. The observed center-out value gradient is consistent with a possible ordering convention in which larger or more salient entries occur nearer the sum cord. This interpretation remains provisional because the analysis pools relations and may be influenced by the geometry of the summation definition.<br><br>\n",
    "**§7** closes with an architectural taxonomy of how Equal Sum structures are arranged within a khipu, identifying five non-exclusive patterns (Waterfall, Pyramid, Apex, Cascade, Distributed) and illustrating each with an information-flow schematic.\n",
    "\n",
    "**Corpus note**. Different analyses use different corpus snapshots and completeness filters. Counts and percentages are therefore reported with their analysis-specific denominator, corpus version, and inclusion criteria.\n"
   ]
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   "id": "e5b0c14b",
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     "text": [
      "Corpus: 711 khipus\n",
      "equal_sums rows:          711\n",
      "equal_sum_relation rows:  2084\n",
      "figure8knots rows:       711\n",
      "figure8knot_relation rows: 15146\n"
     ]
    }
   ],
   "source": [
    "# ── Setup (run this cell first) ──────────────────────────────────────────────\n",
    "import sys, os\n",
    "sys.path.insert(0, os.path.join(os.path.abspath(\"..\"), \"src\"))\n",
    "\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "from scipy import stats\n",
    "import plotly.express as px\n",
    "import plotly.graph_objects as go\n",
    "import plotly.io as pio\n",
    "pio.renderers.default = \"plotly_mimetype+png\"\n",
    "\n",
    "import qollqa_chuspa as qc\n",
    "from fieldmark_equal_sums import FieldmarkEqualSumsDataframe, FieldmarkEqualSumsRelationDataframe\n",
    "from fieldmark_figure8knots import FieldmarkFigure8KnotsDataframe, FieldmarkFigure8KnotSumsDataframe\n",
    "import utils_kfg_locations as uloc\n",
    "\n",
    "# Load corpus\n",
    "(khipu_dict, all_khipus) = qc.fetch_khipus()\n",
    "\n",
    "# Load fieldmark CSVs (built by Build_Fieldmarks.ipynb)\n",
    "equal_df = FieldmarkEqualSumsDataframe().dataframe.rename(columns={\n",
    "    'num_dual_sums': 'num_equal_sums',\n",
    "    'num_dual_pps_sums': 'num_equal_pps_sums',\n",
    "    'num_dual_cps_sums': 'num_equal_cps_sums',\n",
    "    'num_dual_ips_sums': 'num_equal_ips_sums',\n",
    "})\n",
    "equal_rel = FieldmarkEqualSumsRelationDataframe().dataframe\n",
    "fig8_df = FieldmarkFigure8KnotsDataframe().dataframe\n",
    "fig8_rel = FieldmarkFigure8KnotSumsDataframe().dataframe\n",
    "\n",
    "print(f\"Corpus: {len(all_khipus)} khipus\")\n",
    "print(f\"equal_sums rows:          {len(equal_df)}\")\n",
    "print(f\"equal_sum_relation rows:  {len(equal_rel)}\")\n",
    "print(f\"figure8knots rows:       {len(fig8_df)}\")\n",
    "print(f\"figure8knot_relation rows: {len(fig8_rel)}\")"
   ]
  },
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   "id": "afa8c7c4",
   "metadata": {},
   "source": [
    "## 1. Corpus Prevalence\n",
    "\n",
    "How widespread are Equal Sums across the 702-khipu corpus?"
   ]
  },
  {
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     "text": [
      "=== Corpus-wide statistics ===\n",
      "Total khipus:               711\n",
      "Khipus with ≥1 equal sum:    194  (27%)\n",
      "Khipus with ≥4 equal sums:   96\n",
      "Khipus with ≥10 equal sums:  50\n",
      "\n",
      "Total equal sum instances:   2084\n",
      "  PPS:  1228  (59%)\n",
      "  CPS:  694  (33%)\n",
      "  IPS:  162  (8%)\n",
      "\n"
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       "      <th>KFG Name</th>\n",
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       "      <td>85</td>\n",
       "      <td>125</td>\n",
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       "      <td>1650</td>\n",
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       "      <td>KH0698</td>\n",
       "      <td>167</td>\n",
       "      <td>79</td>\n",
       "      <td>59</td>\n",
       "      <td>29</td>\n",
       "      <td>517</td>\n",
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       "      <td>8</td>\n",
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       "      <td>KH0258</td>\n",
       "      <td>57</td>\n",
       "      <td>25</td>\n",
       "      <td>30</td>\n",
       "      <td>2</td>\n",
       "      <td>266</td>\n",
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       "      <th>6</th>\n",
       "      <td>KH0349</td>\n",
       "      <td>51</td>\n",
       "      <td>29</td>\n",
       "      <td>20</td>\n",
       "      <td>2</td>\n",
       "      <td>332</td>\n",
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       "      <th>7</th>\n",
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       "      <td>49</td>\n",
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       "      <td>23</td>\n",
       "      <td>4</td>\n",
       "      <td>182</td>\n",
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       "      <td>41</td>\n",
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       "      <td>38</td>\n",
       "      <td>0</td>\n",
       "      <td>222</td>\n",
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       "      <td>KH0246</td>\n",
       "      <td>39</td>\n",
       "      <td>31</td>\n",
       "      <td>5</td>\n",
       "      <td>3</td>\n",
       "      <td>159</td>\n",
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       "  KFG Name  Total  PPS  CPS  IPS  # Pendants\n",
       "0   KH0082    236   85  125   26        1650\n",
       "1   KH0698    167   79   59   29         517\n",
       "2   KH0240    107   45   59    3         482\n",
       "3   KH0674     91   50   33    8         439\n",
       "4   KH0428     59   12   46    1         395\n",
       "5   KH0258     57   25   30    2         266\n",
       "6   KH0349     51   29   20    2         332\n",
       "7   KH0156     49   22   23    4         182\n",
       "8   KH0252     41    3   38    0         222\n",
       "9   KH0246     39   31    5    3         159"
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     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# ── Corpus-wide equal sum counts ──────────────────────────────────────────────\n",
    "has_any   = equal_df['num_equal_sums'] > 0\n",
    "has_4plus = equal_df['num_equal_sums'] >= 4\n",
    "has_10p   = equal_df['num_equal_sums'] >= 10\n",
    "\n",
    "total_equal_sums = equal_rel['kfg_name'].count()\n",
    "total_pps = equal_rel[equal_rel['fieldmark_name']=='pendant_pendant_sum']['kfg_name'].count()\n",
    "total_cps = equal_rel[equal_rel['fieldmark_name']=='colored_pendant_sum']['kfg_name'].count()\n",
    "total_ips = equal_rel[equal_rel['fieldmark_name']=='indexed_pendant_sum']['kfg_name'].count()\n",
    "\n",
    "print(\"=== Corpus-wide statistics ===\")\n",
    "print(f\"Total khipus:               {len(equal_df)}\")\n",
    "print(f\"Khipus with ≥1 equal sum:    {has_any.sum()}  ({100*has_any.mean():.0f}%)\")\n",
    "print(f\"Khipus with ≥4 equal sums:   {has_4plus.sum()}\")\n",
    "print(f\"Khipus with ≥10 equal sums:  {has_10p.sum()}\")\n",
    "print()\n",
    "print(f\"Total equal sum instances:   {total_equal_sums}\")\n",
    "print(f\"  PPS:  {total_pps}  ({100*total_pps/total_equal_sums:.0f}%)\")\n",
    "print(f\"  CPS:  {total_cps}  ({100*total_cps/total_equal_sums:.0f}%)\")\n",
    "print(f\"  IPS:  {total_ips}  ({100*total_ips/total_equal_sums:.0f}%)\")\n",
    "print()\n",
    "\n",
    "# Top 10 khipus by total equal sums\n",
    "top10 = (equal_df[has_any]\n",
    "         [['kfg_name','num_equal_sums','num_equal_pps_sums','num_equal_cps_sums',\n",
    "           'num_equal_ips_sums','num_pendant_cords']]\n",
    "         .sort_values('num_equal_sums', ascending=False)\n",
    "         .head(10)\n",
    "         .rename(columns={\n",
    "             'kfg_name':'KFG Name',\n",
    "             'num_equal_sums':'Total',\n",
    "             'num_equal_pps_sums':'PPS',\n",
    "             'num_equal_cps_sums':'CPS',\n",
    "             'num_equal_ips_sums':'IPS',\n",
    "             'num_pendant_cords':'# Pendants',\n",
    "         }))\n",
    "display(top10.reset_index(drop=True))\n",
    "\n",
    "# Distribution histogram\n",
    "fig = px.histogram(\n",
    "    equal_df[has_any], x='num_equal_sums', nbins=40,\n",
    "    title='Distribution of Equal Sum Counts (khipus with ≥1 equal sum)',\n",
    "    labels={'num_equal_sums': 'Number of equal sums', 'count': 'Khipus'},\n",
    "    color_discrete_sequence=['steelblue'],\n",
    ")\n",
    "fig.update_layout(font=dict(family=\"ETBookOT\"))\n",
    "fig.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "1f9f260b",
   "metadata": {},
   "source": [
    "### Interpretation\n",
    "\n",
    "Equal Sums appear in roughly **27% of the corpus** — a substantial minority, not an\n",
    "edge case. The distribution is heavily right-skewed: most Equal Sum khipus have only\n",
    "a handful, but a small elite (≤10% of the corpus) have 10 or more, suggesting\n",
    "systematic, intentional use of the convention rather than accidental coincidence.\n",
    "\n",
    "PPS (positional) sums dominate (~59%), with CPS (color-grouped, ~33%) and IPS\n",
    "(index-grouped, ~8%) playing supporting roles. The preponderance of PPS reflects the\n",
    "most natural spatial reading of a khipu: neighbours on either side of a cord. CPS and IPS show that Equal Sum-like relations can be detected under color-based and index-based grouping rules. Whether these grouping schemes carried distinct administrative or accounting meanings remains open.\n",
    "\n",
    "Equal Sums only appear on **larger khipus** (typically ≥ 20–30 pendant cords). This\n",
    "makes structural sense: a cord needs enough neighbours on each side to form two\n",
    "independent summand runs of at least two cords each."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "66ec5088",
   "metadata": {},
   "source": [
    "## 2. Equal Sum vs. Non-Equal Sum Khipus: Structural Profile\n",
    "\n",
    "How do khipus that contain Equal Sums differ structurally from those that do not?\n",
    "\n",
    "A minimum pendant count is a **necessary** condition for an Equal Sum (a cord needs\n",
    "at least 2 summands on each side), but presumably not a sufficient one. This section\n",
    "asks whether size alone explains the pattern, and characterizes the relationship\n",
    "between khipu size and Equal Sum density.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "id": "fb33f466",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "config": {
        "plotlyServerURL": "https://plot.ly"
       },
       "data": [
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         "hovertemplate": "group=%{customdata[0]}<br>count=%{value}<extra></extra>",
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       "layout": {
        "font": {
         "family": "ETBookOT"
        },
        "height": 420,
        "legend": {
         "tracegroupgap": 0
        },
        "template": {
         "data": {
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            "error_x": {
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N9cEhADWrV8at6mdKfmc4F7j/zjaQnzdJ8qFQ4pD7Uj64yYdZWcVhyJfTMWvOH7ratz8u1D9j+sRpIx/k5NuMXt06w9/PD+3Uh+J1c8fo/lqycgPWbdqh+1PuUUkfvvaMrv2/TydB7ln5sCYZHdQH10nDB+Kv30brh/UKi7e0zUQCJEACViKQphIMGtENahRGfuHLH/1+PR5A1crlMzxdumoTRFBkZKiDkpdZVkkVgfzhtKWPaNVToz3vqRHY4sWKICn9696U9NFfKetqsit7TykBKX+YpI589fvX3//KYbbJz549dhnBc1QIV6N7chwYGCA7ncqULK6+Qk3Sx9ltRNA9rEZ0t+7cp1eKSFZfOU/7eTHu69RaF29zfWMtcGQkesmKDajmJP51gRw2NptdiwQRL1KkVImissPJU2f0XkalRETKg4U6Q22aN66txbeDg10xUtkILxIqO51kpNEx/1Kmbsi0jmtv64FmHXviutt7ofkdz0LORfjqCumbK8qV1iPYnjKoVgAAEABJREFU8iHngbtu1gI6NDRYX92gvuqXg8b1L36okBFmycst+dkz98nrfbrCIdIdUwEc3wzkZifrNYlx+phBaHtDYz06KV9dZy3jfO58f0q+zWaTHYKc7gNhKB9A5MOFXCwaHiY7JCblfG9IAZkCJAKtZ7e7UKFsScnKNin9r/PloVFpJ0KN4OsMtbHZ0vxRh/pfgL+/3hd16tc21zfSefKhQR9ks3GOs00+70sxe7l7U8rkJdlgyyjueBhVph2JeJULMvJ7/503Q+67Hye+h18mf4DSJYvJpUxppRoJlt8vzgLdUUC+hZHjZo1qyU4neahRRLZ8IDpzLgr2dM4N0lekcPS1t3lrZ7khARIgARMSyPxX3sABlFNfiXd/8DY9pzX+QoIWD+ejYjN5LCMpmTJcOJEHYGQ+n8zXE0HgQpWMIvIgmiRHhoi8N/s+pk//2pBZ8Ka44fF8uxrFlaQbyGEjK1nIpZ/nroD4UKv6lXrkWvJk9YtvRr6hz2VdW8colVzLTxLRIvVi49RobGycHGZK5dRXsfLHO1Om04kItMCANEEvwurdV56EJJn2ISNespcHAOWaU7VLDmUKiJSJVSPDjlFYOXYUtGcRs478y/WJvHCk7/9GQuYIO+q4une+l0SsDh30nP4AINM4sgp4V23mVM4Rn812UaxlV1bEl4way1x1+VCUXZmsebGqbx39nPVaTucywi/XgoPS+laOc0vuvi+lrYD0b3rkOLvkyoeX5PQPvyI25RsHsSMiuOZVlVCremWd5JuT7H7v7D+c/TcxYsOxrnecul/l3JHKliquD7P+XtOZuWyMwDsX93iJBNxHgJZIoAAEDCl4U1NSsg1Jvlrs/uJHarQxUK/Ju3jF35AHXi4WzvwHX/5QyR/spPTRWymX7GRb5mTe/cQb+O/AMT3XU/6QSRlX0xolaid8+1um4vL1v2Q4/BIf5Nx5BQZnH+Radlo4FY6ZilIiLcmqDo4RnrScS7cV1NfMMpo4c/YyTJk5D46vu6XkwSMnUPmKMpg57m3IyKOM/kr+5VJqaub+cPCUEUCp27xJHchXv87TE2Rqgsy1rVurqhTR8xb1gdMm/kIiwtJHZgP8/XDvHTfpJKK9c4cb9LxsGfWy29P61SFQs/ITkzN/XaLnsdatmdbeX39vk2yd7FmEoCt98sWkHyEvWLj/zjYY/GZPbScvGxGVzmJfRuqbNaqtTaSmd7j4kdv9KYVTnO5XOZfkqC/HkhISE2Wnv73QB9lsUlQfykjk+CH99Sj/E30Hw7m/pEpWu47zwMuIR6nrnByj9g3qVNfZl4szr/elwy8xnqrikr0jZb03HflZ97HxF3RWYi4vmpC+kUISf/1rqskhFqZPF9InaiMjsvJzqQ4z/WtSvybkQ4XjA5hclA868uxB43o15VR/INUH6Zt/tv+nj+TFJinp94jOuMzG07wv0zwvkwAJkIApCBhS8DpeIiDrZcofMEnyx0KesBbRK2RvaFZPz0eVuXLJ6qv7zf/uxbpN2+VSRpIHh+Rk0rTf9R/3UZN/0g91HTpyEvJ164Z/dmsbImpOR56FPMgjc/VkZC9JiWR56EbqO0Z35Ng5lS1dAjKvT1aAcOQvWbFRH16v/JMDWdC/ZPFwyENQ4qM8zT545HdySfsiQvHc+Wh9fj4qRu9lc+582nF0TNoodooabZI/ro6v16VMTumBu9rqEXARnDc2r59RTOZUfv/bcsjXp/J1vWMKgpSTJ8HlQa+Mwk4HEWeiNCdhItnis+wd4rvLbTfKKYaMmaG+Vk/Wx3/8tUnvn36kk96fS4/RIfxT1R/0g0qABwb66+uubOQhKSl3In2Zt2TV7/KAj9iRfigSFoJG9a6WInpFA1k5Ii4+ATOUGNaZ6RtX+kQeymvaoAb0Q1hr057U37P/iBYxYub0mfOIzmZUW65Jkm8kBo+aliH05ZsA4S9CSKYkSJnL3Z9SRh5mkr3Ul70kYRl5Nirjw97p9CkHwkOuZ5fiFYdYNaIoo4ETh76i74+nXv5EP5jlKB959rw+lGXe5CBCxSh7my3tA4ccx6oR30jVthw7J4lNrkne7IWrIWK37Q1N5FQ/dCkHOf0cSt3s7kup45zkZ0A+JDnakWsRl7k3pUzWVL1qRaxatxWyCsYTfT+G3JOOn3Xnn0HHigo2mw3yQVI+EMsHoe9/WwYRmXMW/6VXyUjMZiqJPAgr7X4+YZZmLfdi30EjcUaxk99dMtI+Uv0+crQh12Veb5+n7tVzfh39HpneJ2LLOQkzBwdP8XZuj8ckQAIkYHYChhK8IlpkWauf563QXD8c8Y1ePqthu6f0fM7h477PmHf6XPe7IaN/Hyvx2KDdk/hyys+XzKWTB2xkHp380ZE/7leULw05F4Hwx+pN6o/yVXq065Hn3sPAD8bpryhF/P2+ZA1+X7RGj/CJI/KVtvxxk2PndIUaTZXz+3u8DZmbKcuGjZg4C688+xBkeoNckyQPrshDS9LOtJ8W47H7b5VsNSK5DiKCZYkyyZjy/XzIQ28izCUuyXvxrS90mW59PtR/OGXpM1neSP7gyvXs0vXX1oUIrsfuu1X/8XSUKVokDJ8oEdbv7dGQubW9ut2lL4lgFDG9av3FUVF9QW3k6XtZZUAdQlYakPmHD/V6R04hU0Fmzl6mOFbH6I9e0h8q7n3qLS0C3v/sawx7+znIiPevC1ZCplBIJfmjL1/rC7MTp87gzzVb8PaQr+RSjilCCS+JuWPXgbpMpBINLTs9B+l3WXpO8sXWFeVKazEvD/acijiH9g/0w01d+iBJCWNd0WnTq1tn5NQnIjba3dhE+9ayU2+9HJVUlb4RwSXLvAkHaVOWVkvMZpRQVoOYvWAVpG9f/XCcfiWvPDApb4UTW5Iud3/+vngNZEqFlB306STIuSxPtWTlRn0vPNXvE/Uhb4deTk/KjJn6K2T1Cjl2Tm99Mgly38g0C1keTsS6TAER/2Uqj6xgIf0sc8+lntxry1dvhqwyIOfyUKJc767E4fxl63TbwkAEqFyXJD61vqevXgZQfoZkhQrHyPzl4szpvhS7jiT3aKdur+q25cOIfJgQn+YvS1vuL6d701Hfed9N/VwIi3uf/p/+FkE+YHd58k1dRH4G5UFL+fmT+c6SKX0oMY0f8op+0FLu11se6o9Z6sPjqI/66t8hUs45ye8meZDvx9//gCwb17X3e3plFPkgIA+liS25X+99+i3I/fFAj0F4Vt2T8jCprHN8/zODtDn5ndhr4NCM1Wd0ptp4mrdqgv9MT4ABkAAJOBOwO594+1iewp7z9WD8PX+cThsWjIekjWrvSLK8j/gp8yI/eu0Z/Db1Iyyb9RnGDH45QwzLdUllSxfHjLGDsPSHz7Dk++H6j9vEYQPwx08j0PuJLpBRFjn+/ZvBmD7mf5BrUk4eZLujfQus/OULrJs7Vtvv0CbtSX2x60gyQir+ib8P3d0O8qDTql9HQeYaO8rIvus97bFmzpfK1hh89u7zuKfjTfpYHnKTJ98lZolPbMlDMT2VEN20cAIkb9aE91D/mqsgfyDluuR/9flresRJbGeX5CvkGWMGofsDt2W63K5VEyz/8XP07/WAjleecpcCsqSZzO3t3+tBOc2UXn3+EeXrWKyfNw6ySoP8wRZG4sfimcNwz+2tdHlZLUM4jv20P8T/papP5IFDuShvQpP6kiTWhnWuxrQv/4dNiybqGN/o+5gUyzGVKlEUErPUF9bCwZGEkSTxxzF9ommDmlg0cyh+/eoDrPp1JB7q3PYS27n1iczPHND7YSyYPgQLVZKl5xapWCXua5XtqYq/+LL29zG6X2Q6RtYG5EPPliWT8cUHL+LuDjdCVkX4bvRb+p5zlL3c/Xlrm2v1z4HEtnDGUMi5LIcl5xLz6I9fgowYyz0i53K/Dn+nt8N8xv5NxVf8FXbjVP/c1KKBvrc3L56o93Kvv/LcQ6qfx+h+njH2bUiZ2VM+1O1L3VfVfTBmcD/98yh2Jg8fCIeglYbeePEx/DL5fUxRbOQel28RJF/S5eLM6b6Uuo4kHyAkTul3ab9fj/shPsnPp/iX273psOHYt1UfZuTnQFY+uPeOm1CjWiXM++5TFf9YHb/83PR/9sGMWOXhNJkLL1NCfpz0Hn6a9D7mT/sU8vMreQ67WfdPP3IHVv82Wtn+RP/+adW8QUaRKyuWhfzMzVG/e2Q1iAXTh+L5J7tA7qXyZUuqe28oHP08/J0XkHVOsqd5ZzjKAxIgARKwCAG7keKQX/YhwYF6jq6sWCCiVlJgYAAcScScw2ebzaZFrghPR152e/mD68iXJYBstotf0Up7Mp9VHjyRtmRkVMpKO9KmzFOVeaZyXfKzJqkjvsocPxEfMnqTtYycS7syqibHYttxLKJBfJC2xJbspS35AyfHcs1RRq5LvuTZbBdjEJtZkzCR+s750qb8gZaRbpvNBsc18UeWZ5JYHXmOvbQn+dKmJMmXPEliX3yVPEeSp/9lxQbnfDmWuo4k8UhfSxIbsnfUz2nvqCushYMjSX1J4o9zXRFc1dVX11nzncvk1CeOMvIwlazgIecSl8OW7MUfuS9kL9ezJvFJ4pR6LZrW0SODwjlrOTnP6f4UbhKvtCd7OZdjSWJf8sSm+CDnkiRPbDonYSVl5JrsxY6Udd7LNbk/5LokuT+kjOTLubQpx2JL9pKc2/D3s0PuK2HinO98nFOc0m5296VzXfFH/HC0L/5Iysu96WxP2nNMLZF+Er8dtsSuv5+fXhlD4pQkZaD+k/yaV1XK9MFFZef4r2iRUIhYz6mAXK9do4pevs1RxhGr+CF9IHE7rjn2/h7m7WiHexIgARKwCgG7VQKROOThEUlyzEQCDgIp6Q9+ZTf1wFGG+/wRSEyfv5rdtJH8WWSt3AiQd250CnSNlUmABCxOwBKCVx5MkgdQtu3ar18mkfXpc4v3IcPLhcCpiLOQNZulyJqN/0IecpNjpoITSEpO1nODxdJfG7ZB5sXKMZNnCJC3Z7jSKgmQgG8QsITgXbpyI8Z9MxuN6tbQL6MYq47d3n00aDoCIm7lrXfy9rUOba7TT9av2bjddHEY1eGVa7di3tK1aJP+oglZfcSxcoBRfTazX+Rt5t6j7yRAAt4mYAnBe3u75hj2dm+VntNJXlbgbbBs3/sEZP6j830hx84PDnnfQ3N7IA8qfvnxSxj1YV/Iw6TygJ7MxzV3VMb13ki8jUuJnpEACZBA9gQsIXizD425JEACJEACJEACJEACJAB4SPASLQmQAAmQAAmQAAmQAAkYgwAFrzH6gV6QAAlYlQDjIgESIAES8DoBCl6vdwEdIAESIAESIAESIAHrE/BmhBS83qTPtkmABEiABEiABEiABDxOgILX44jZAAmQgOsEWJIESIAESIAE3E+Agtf9TGmRBEiABEiABEiABApGgLXdSoCC1604aYwESIAESIAESIAESMBoBCh4jSyMyuoAABAASURBVNYj9IcEXCfAkiRAAiRAAiRAAi4QoOB1ARKLkAAJkAAJkAAJGJkAfSOB3AlQ8ObOh1dJgARIgARIgARIgARMToCC1+QdSPddJ8CSJEACJEACJEACvkmAgtc3+51RkwAJkAAJ+C4BRk4CPkeAgtfnupwBkwAJkAAJkAAJkIBvEaDg9a3+dj1aliQBEiABEiABEiABixCg4LVIRzIMEiABEiABzxCgVRIgAfMToOA1fx8yAhIgARIgARIgARIggVwIUPDmAsf1SyxJAiRAAiRAAiRAAiRgVAIUvEbtGfpFAiRAAmYkQJ9JgARIwIAEKHgN2Cl0iQRIgARIgARIgARIwH0EvCF43ec9LZEACZAACZAACZAACZDAZQhQ8F4GEC+TAAmQgOcI0DIJkAAJkEBhEKDgLQzKbIMESIAESIAESIAESCBnAh6+QsHrYcA0TwIkQAIkQAIkQAIk4F0CFLze5c/WSYAEXCfAkiRAAiRAAiSQLwIUvPnCxkokQAIkQAIkQAIk4C0CbDevBCh480qM5UmABEiABEiABEiABExFgILXVN1FZ0nAdQIsSQIkQAIkQAIkkEaAgjeNA7ckQAIkQAIkQALWJMCoSAAUvLwJSIAESIAESIAESIAELE2AgtfS3cvgXCbAgiRAAiRAAiRAApYlQMFr2a5lYCRAAiRAAiSQdwKsQQJWJEDBa8VeZUwkQAIkQAIkQAIkQAIZBCh4M1DwwHUCLEkCJEACJEACJEAC5iFAwWuevqKnJEACJEACRiNAf0iABExBgILXFN1EJ0mABEiABEiABEiABPJLgII3v+Rcr8eSJEACJEACJEACJEACXiRAwetF+GyaBEiABHyLAKMlARIgAe8QoOD1Dne2SgIkQAIkQAIkQAIkUEgEDCd4CyluNkMCJEACJEACJEACJOAjBCh4faSjGSYJkIDpCNBhEiABEiABNxGg4HUTSJohARIgARIgARIgARLwBIGC26TgLThDWiABEiABEiABEiABEjAwAQpeA3cOXSMBEnCdAEuSAAmQAAmQQE4EKHhzIsN8EiABEiABEiABEjAfAXqcDQEK3mygMIsESIAESIAESIAESMA6BCh4rdOXjIQEXCfAkiRAAiRAAiTgQwQoeH2osxkqCZAACZAACZBAZgI88w0CFLy+0c+MkgRIgARIgARIgAR8lgAFr892PQN3nQBLWoVAVHwijp+NxZ7j53HiXJxVwmIcJEACJEAClyFAwXsZQLxMAiRgXAKno+Kx+UAEft9wEFOX78LIuVsx+OdN+N/0dej31Sr0HPsHHv18Me4ePA8d3puD+z5dgMe/WIre4//Egk2HjBsYPSMBoxKgXyRgUgIUvCbtOLpNAr5C4GxMArYdOoMFmw9j8tKdeP+HDXh23J/o/PE8dP1sMQZM/Qufz9mCb//YjdnrD2DJliNYs/ukrrP/ZBROnY9HXEKyr+BinCRAAiRAAtkQoODNBgqzCkSAlUkg3wQuJCZj3Z5TGLPgX/SZtBJdBs/Hg8MW6tHaob9uxvQVe/Dn9mP478R5xKuy+W5IVbTZbGrLfyRAAiSQmUDykSOIX7bM5ZS0e3dmAzwzJAEKXkN2C50iAd8gkKrC3H3sHGas3KtHau/5ZD7enLYWP63Zh51HziI2IUmV8My/1FRp/aLt1OhoXFixAglr1yJh0yYk/vsvkvbsQfKBA0g+dgwpERFIjYoCLly4WIlHJJArAV40IwERvBeWL4erKVH9njBjnL7mMwWvr/U44yUBLxOIjL6Ahf8cxuCfNuEhNXr7/IQVmLRkh56Lm5SSWYQWpqupMTGIX7wYcXPnIu6XXxD7/feI+fZbRH/1FaLHjUPUyJE4P2wYzn38Mc698w7ODx+OmClTEDd7Ni6sXInE7duRfPw4kJhYmG6zLRIgARLwKIGV67ZiwHtjcOxkpEfb8bRxCl5PE76MfV4mAV8gcCEpBYu3HMGAr//Cw8MXYcgvm7Fk6xHI/Fyzxp96/jyS9u9HwoYNiF+0CLEzZyJ67Fic+/BDnB8yBNETJyL2p59w4c8/9SixWeOk3yRAAp4hkJiUjFc/HIe6bbpj9JRfMhqRb5+Gj/sezTr2Qp+3RiDizPmMa944uKJcKcxZ/Bdi4+K90bzb2qTgdRtKGiIBEshKYPvhs/qBMhnJ/eTnTdi8PyJrEUuey2hx8uHDSPznH8QvWaJHic+9/77exy9diqT//gOSkiwZewGCYlUS8CkCAf5+eH/gUzrmUZN/wuwFq/SxzWbDSz3ux9XVKuJ/Lz2OUiWK6nxvbapdWQEli4d7q3m3tUvB6zaUNEQCJCAEZKmwaSv24IlRS9F38kq9ZFjsBYo7JCfrkd4Lf/yBmK+/xrmPPkL0hAmIX7gQSbt2cW6w3DxMJOCDBGrXqIInHuqoR3s3bFG/C9IZ+Pv5ITgoMP3MvbuUlFScjjynjcqI8pHjpyEjzjpDbSRP7Vz6l5BwcRrXydNnM+rIyPS5qJiM85hY10aIne1lVHbDgbkErxsCpgkSIAH3E0hMTsHyf4/hje/W4rHPF+OrpTtxNDLW/Q1ZyWJKCvTDMatWIWbaNJwbPFgL4cTNm4GEBCtFylhIgAQuQ+ClZ+5HhzbN0HPAMBw8cuKS0pv/3YtnXx2O94ZPxQtvfI4tO/ZdUubvf3bhwxHfoN/bo/DZ+B/09eiYOJ03eNQ0lT8ajz7/gfrsnYJeA4eqNEyXGT7ue9z6UH/sO3gMSeqD+ReTfsRzr32GNz6eABHGulA2GxGz/d4ejeeVP8tWbcL4b3/Dzff1xfnoWMxftha3PTIAc5eswVElpu96/HW8NGgkPlF+3P7oQAwbOxMjJs7Cgz3fwVufTIII7Kz2smmyQFkUvAXCx8ok4NsE9h4/j9HztuHhYYvw4awNWL/3FNTAgW9DyW/0qal6qkPszz/j3KefIvaHH9JGfpUwzs4k80iABKxDwM/Pjg9fewa1qlfWQlTEnyM6GRl9+uVP0f/ZB/HWS92UML4OT740GLFxFxxF9P6tTyaiaJEwXFmxnBafazZux1AlLGUEeWDvh9H1nvY4euI0pK0ej96p68imX88HUKlCGTmEiObqVSpi2Nu98fO8FRmjwPpils1WJbqPnYzAm327oXLFsnqU2lGkQ5vr0OmWlvr0ivKl8WDntggI8Ee/Xg/gg1efxrSfl+Chzu0wZcRr+PH3P3D81Blktacru3FDwetGmDRFAr5CYPvhM3hl6mo8N/5P/LJuP+SVvb4Se6HEmZSExG3b9MivPAAXN2cOkg8eLJSm2QgJkIB3CMj0hVEf9YVMZXjxrS8QF58maPcfOq7EbTwqlC2lHWtzfSN9vnPvxd8Je/cfQfyFBDz/ZBf0feY+bFv2FZo3ro1Ff6zXIloqlilVTHY62e02NdKbrI+dN1LnusbXaBEq+TLyKvvsUosmdZRPJdG970dIVSMdNth0MUcduy3tXDJtNhvKlCyuYwsPC0V4kRCULV1cT9kIDQlGYmISstqTei4ml4rZXSrFQiRAAiSgCBw4Fa3Xye07eRX+ORCpciz0T/1CNmI0qXFxSFi/HtGTJ+P8Z59Blk5LibQYeyOCp08kUAgEUpJT4DxntVh4GCYOG4BjJyKwffcB7YE8NCYHf/29TXY4nz4v1jEqK5kVypXCCTVKunp9WplDR0/iwOETqFurKv5cs0WKZJqjGxAQgMPHTkOmLERFx2oBLYV27j2ElwaNQqvm9eUUKeqbJzmIv5AIpB/LuSSZAjHo5e64r1MbTPl+Pmy2NIErvsvUCJnDK+UkJSQmIlX9L8eJ6gO97B0pNi5ej/5mtee47q49Ba+7SNIOCViYgMzHlXVze45Zrt+EZrpQXXE4yy9zV6oUdpnUc+cgL8eI+uILxEyfzlHfwu4AtkcCbiQgc11f/XA89h44ikFDJmcI0jKlimvRWzJ9ZYTQkCCM/uglyNzacd/MxoD3x+KTt3pByjnckVHSt/t3x9P9P9XzdH/4bTlkKkHPx+7ChO/moMcrQzB5+lw4/rumemVVvxg6dXsVQ8fM1NmTpv+Os+eisf/QMYz9erae5jD6q58xadrvWhCPV3aSlUDXhdVGHnR78+MJSmhHon2rppBR4/s7tcEzyod+b4+CCN45i/6CiPAf5/yhhPc/On059RdV5wzmL1unp14oU5BVKkRsO9uTfHcmCl530qQtErAYgZPn4jBs9j94avQyvW5uqsXiM3M4STt36lFfWelBXnph5ljoOwn4IoGiRULx4WtPY9PCCXjzxccgy5Q5OMjo7fxpn6JIWIjOat2yIX6c+B7uvOV6TB4+EHe0a6HznTciNlf9OgpjBvfTy5qJvcb1amD5j59h+DvPwzFvV+oEBPjjt6kf44fx70KE8uKZw/Dx6z3QvElt/DrlQ5X3BH6e/AHeG/Akuj3QARsWjMc7/Z/Q83+lvqSWTevg/VefxmsvdIX4J3lia953n2LEe30wcegr+PqL15XNOpg14V3MnzYELa+tq+cHb1o0Ee1aNUH3B26DHA/q9zhuuanpJfbEpruS3V2GaIcESMA6BM7FJmDUvG14YuRSzN90KONrLetEaJ1Iko8c0S+9kFFfmfqA5Evn5VknWkZCAp4n4FexIoJat3Y5BVx9db6dknm7Ij4lZTUio7bOeTabDTJ1IbuyjnLFioZliGRHntgJCw3WKzDIXFlHvozIyuixnAcGBshOpxLFwrX4DgkO1OcypzhIXZekM9I3UkemYEgM6Vl6J23JgVyXvbQjPosAF1uSHMeOfNlL+ezsiQ13JAped1CkDRKwCIHo+ERMWbYT3UYswa/r9iMphWO6ZunalMhIyMNt54cNw4XlyyFzf83iO/0kASMR8FOCN7hNG7ia/GvUMJL72fpyKuIsFixbh8izUdi6c1+2ZayeScFr9R5mfCTgIoF1e07iyVHL8N2fexCfyFFCF7EZrlhqbCzily3D+eHD9R6JiYbzkQ6RgGkIWMTRhMQk/QDbmMEvWySivIdBwZt3ZqxBApYiIKO6Q3/djDenrYNMZbBUcL4cjBK6MtJ7fsQIJPz99yVPWPsyGsZOAr5GoGL50mjVvIFK9VGvVjVfC1/HS8GrMXBDAvkmYOqKm/dH4Jkvl2PB5sOmjoPO50wgNToacb/9hqjRo9NeZJFzUV4hARIgAcsSoOC1bNcyMBLImYBMWRg5dysGfP0XIqPTFjfPuTSvWIFAyunT+kUW0ZMmIfn4cSuExBgMR4AOkYBxCVDwGrdv6BkJeITAjiNn0EON6s5en7aouUcaoVHDEkg+dAjRY8cidtYspJ4/b1g/6RgJkAAJuJMABa87adLWZQmwgPcIJCSlYMLiHXhp8iqcOBfnPUfYsiEIJG7dmvZg26JFhvCHTpCAUQjsPHIWXy/f5XJau+ekUVynH7kQoODNBQ4vkYBVCPx34jyeHfcHvl+1F1xpzCq96p44Lqxcqef3Jp8jU8c4AAAQAElEQVTkH233EHXZCgsalMCOo2fxzR+7XU7r9pwyaCR0y5kABa8zDR6TgAUJbPjvNF7+ajUOR8RYMDqG5A4CKadOIXr8eCSsXesOc7RBAiRQAAIpBh2V2Lv/CAaPmoZlqzYVIDrvVaXg9R77y7fMEiRQQAK//X0Ab3y3BrEJSQW0xOqWJ5CUhLi5cxHz9ddIiY62fLgMkAS8TSA1NRW9X/8Mddt0R6+BQ3E68px2acTEWTqvWcdeWL56s84zwqZE8aLYvvsATkWeNYI7efaBgjfPyFiBBIxPIFmNEIyYswVf/L6VUxiM312G8jDpv/8QPXo0EnftMpRfdIYErEbAZrOh7zP36bBeee5hlC5ZTB9L3k0tGuL2ds3RumVDnWeETcni4ShftqQRXMmXDxS8+cLGSiRgXALnYxP0qO6cDQeN6yQ9MzQBeS1x7LRpiPv9d0CN/BraWTpHAiYmEBgQoL0PDPDXe8cmJDgQIcFBjlO9lxFhfZC+SU5OQVJywd+KefL0xRHbiDPncS7q4vS3rG2mN53tLiEhMSM/N5sxsfEZ5XI7cLaXWzlXr9ldLWj8cvSQBEjg0OloPD9hBTbuiyAMEigwgYR16xA1ZgzX7S0wSRoggdwJnIo4h8izUTrJ1Iaz56Jhs9l0pVMRZ/HhiG9xf4+3MeOXJTpv49bd+N+nk3D/M4MypkLoC2pz/FQk3hs+VdX5Rk+ZiI2LR3RMnD6XObj93h6NR5//QJUExn/7G26+ry/OR8di/rK1uO2RAZi7ZI0W0l9M+hHPvfYZ3vh4AnKbVywCWWw+/8bnen5vTjaPHj+Nux5/HS8NGolPRk3D7Y8OxLCxMyFTOB7s+Q7e+mQSRGBntacddcOGgtcNEGmCBIxAQB5O6zNxJZccM0JneNsHN7afEhGB6AkTkLhjhxut0hQJkIAzgVlzluOrGXMxefpcfP3DAuw/fPHlMEtWbECXjjeif68HMeX7+bra8tWbERYajA9effqSkeCvZsxDdGwcypQqjrUbd+g6Q5WwrF2jCgb2fhhd72mPoydOaztPPNRR72XToc116HRLSznE3//sQvUqFTHs7d74ed6KS0S1LpS+2bpjH46djMCbfbuhcsWyyMnmFeVL48HObRGgRrP79XpA+z7t5yV4qHM7TBnxGn78/Q8cP3UGWe2lN1PgHQVvgRHSAAl4n8BvfDjN+51gZQ/U16axM2bgghrxtXKYjI0EvEWgV7e70K/nA3hZCcGXetyPBrWr69FO8UeLRH9/zF++DsnJKZKFR7q0x19//4shX87Q586bWXP+QN+n78MzXTth3dwxeLZbZyz6Yz1qVa+si5UplTZXWE5ssMkuoy17+qhy88a1cV3ja7QIlQIy8ir77FKLJnVQoWxJdO/7EVJTUpXF7G1KXZvNhjIli8Pfzw/hYaEILxKCsqWLIzgoEKEhwUhMTEJWe1KvIMlR1+444J4ESMCcBGas3MuH08zZdabzOv733xG/YIHp/KbDJGBUAskpaQI2q6BMVh8yRfyJ39//tgzf/rQIbVo2klOdDh09ie/HvwN/fz/ICLDOTN+IsP1p7p8Qm7FxF7Bhyy7UrVUVf67ZokskJiXrvWxstjRxeuxEhJ7GIHN4JX/n3kN4adAotGpeX06Rkpqq92Iz/VCfy2bfwWMY9HJ33NepjR5NttmytyllExITkar+l+PELM8HxMbF69HfrPakrDsSBa87KNIGCXiJwA+r/8OkJTu81LpVmmUceSFwYfVqxEyfjtQsf6zyYoNlSYAEAJnTOnRM2gjtp6On62kDMoL72fgfsGTlRvy6YBVktDbyTBT+3bkfC9QIb+TZKMz8dSmWr96EERNmISgwANc2rJUJ54DnHsLkGfNwx2Ov4oPPv8aVFcuh52N3YcJ3c9DjlSGQaRNI/89ut+F+JVSf6f8p+r09CiJ45yz6C/8dOIr9h45h7NezUalCGYz+6mft06p1W/Hr/JUQgZxuAkeOn8abH0/AiVORaN+qKXKyuXr9NvyoRp//XPOPEt//4Mupv6g6ZzB/2To9l1jsjZr8E0RsO9uTfHckCl53UKQNEvACgbkbDmL8ou1eaJlN+jqBpJ07ETNlClLj430dBeMngXwTqFCuFIa/3RubFk7Qc2VLlSgKPz87nnu8MzYuGI9Vv45E59tuQI9HO2HUR33x/sCn8MdPI/DAXTervDvR47E78fl7fSB2nJ1oUKc6/vx5BKaOeF3Pk5XlzhrXq4HlP36G4e88jx6P3ulcHG/37455332KEcrWxKGv4OsvXkfHts3x65QP1bUn8PPkD/DegCf1CPOS74dj/JBXMi1P1rJpHbz/6tN47YWuGcuoZWezeZM6mDXhXcyfNgQtr62rY960aCLatWqC7g/cBjke1O9x3HJT00vsZXI4nyf2fNZjNRIgAS8SELH7+Zy0r6e86Aab9mECyYcP64fZUs6f92EKDN2KBK65ojgevamGy6nZ1WXyhcFmsyFQjdDKQ1ySbLa0qQCSJ0nyZK6rzWbTa/TabDaEBAfqtoqEhaBYeJgeTdUZWTYyJ1aErnO2zJGVB92SnKZLOK5LvhxLu7KXVKJYOAL8/TLalJFb8Ul8sNnSfJVyUkd8kTbl3JGy2nTUF5sSlyTHsdiVY9nnZM9hN797e34rsh4JkIB3CCzfdhQidtNmVBW6D2yQBDII6BUcxo3jsmUZRHhgBQK1KhbHY61rupyuu7qsacKWJc4WLFunlz/bunOfafx2h6MUvO6gSBskUEgE1u4+iY9/2pQ+5b+QGmUzJJALgdSYGERPmoTko0dzKcVLJGBFAuaLKSExST/ANmbwy+ZzvoAeU/AWECCrk0BhERCx++73f2c8LVtY7bIdErgsgcRERE+diuRTpy5blAVIgAS8R6Bi+dJo1byBSvVRr1Y17znihZYpeL0AnU36DgF3RbrlQARE7Camr8HoLru0QwJuI3DhAmK++grJERFuM0lDJEACJOAuAhS87iJJOyTgIQIidt+ctg4Uux4CTLNuI5AaG6tFb8q5c26zSUOWIcBASMCrBCh4vYqfjZNA7gR2HzsHEbvxiRcXCs+9Bq+SgHcJpEZHI1qN9KZERXnXEbZOAiRAAk4EKHidYPDQywTYfCYCInI//mkjZJ/pAk9IwOAEUs+eTRvpjYszuKd0jwRIwFcIUPD6Sk8zTtMR+Gz2PzgcEWM6v+kwCQiBlMhILXr5cgqhkffEGiRAAu4lQMHrXp60RgJuIfDjmn1Yuo3LPLkFJo14jUDKyZN69YbUxESv+cCGSYAESEAIUPAKBVMmOm1VAvKQ2oRF260aHuPyMQIpx44h9ocffCxqhksCJGA0AhS8RusR+uPTBM7GXMB7P2xAcgrfo+bTN4LFgk/atQsXVqzwXFS0TAIkQAKXIUDBexlAvEwChUUgJTVVi91zsQmF1STbIYFCIxC/eDGS9u8vtPbYEAmQAAk4E/AVwescM49JwJAEJi/Zia0HIw3pG50iAXcQiJ05Eynnz7vDFG2QAAmQQJ4IUPDmCRcLk4BnCKzZfRIzV+31jHFaJYFMBLx3khoXh5jp05GakuI9J9gyCZCATxKg4PXJbmfQRiJw6HQ0ZL1dI/lEX0jAUwTkIbb4+fM9ZZ52SYAESCBbAtkK3mxLMpMESMDtBOThNBG7sReS3G6bBknAqAQS1q5F4r//GtU9+kUCJGBBAhS8FuxUhmQeAnM3HsSe45zTaOAeo2seIhD7009IPnXKQ9ZplgRIgAQyE6DgzcyDZyRQaATOxybgq6U7892e3Zbvqh6teN3VZTHqmVZ4rHVNj7ZD4yYnkJSE2BkzALU3eSR0nwR8hIC5w6TgNXf/0XsTExi3cDui4i7/BirRtdP7tcf8t+7AzJdvQZUy4Trqod2v13nzVH7Xm2roPCNsjp2JQfniISqFGsEd+mBgAikREYhfutTAHtI1EiABqxCg4LVKTzIOUxHYvD8CC/857JLP8gqKz3/bost++ssmHDgVpY9fmrwKZ2MScDgiBt/+sVvneXsj7R9S/kTHX17IS1kmEriwejWSjx0jCBIgARLwKAEKXo/ipXESuJRAQlIyRvyeJmAvvZp9Tnxisr4Ql5C21ydqk5SSgoT0a+pU/5MRYX2QvvGz2xDgV/Af9avKFU23CFxZugjKFQvJOM/aZsaFbA5CA/0zcnOzWbJIUEa53A6c7eVWjtcMSiA1FTKfl0uVGbR/6FZ+CbCewQgU/K+gwQKiOyRgdAIzVu7Vo7L58bNKmSKoXCpMJxGdQQF+kBFgsVWtbDi+7NEKv7x6GwZ2aSRZ6Ni4MiY82wY/DuiQMRVCX1CbGhWKYWzPm1SdmyBTJoqHBaJUeLA+lzm437zYDj8N7KBKAh92vU7lt0KZosHoeUsdjHu2NZ5sd40W0kMfb6nq34LJvW+G0ta6fHYbEchic0qftnp+b042a1cqjt9e74ixvVpj5NM36uPPn7wBw7pfr2Ob+FwbiMDOai+7NplnDgIpp04hYdUqczhLL0mABExJwG5Kr+k0CZiUgKy5K4JXu5+PzX0tqqN/50Z4RaV+dzaE8+jmAzdUx/QVezBl2S60ql1BW7+1YWXI6PDQXzcjKi5B5zk2L3VqgBA12hoZHY/iYUF47Z4m+PjR5th19Cx6j/8TM1buQZC/ny4+aPp6vZfN2IX/QuKQ407XVtGrTDzz5TJcUTIUVcsWlexsU5t6V6BIcADe/X49dhw5g5xsbj98Fn/tOoFkNXot0zZGz9uGWhWLY+Tcrej62WJUKhWGmlcUR1Z72TbKTNMQkLm8KWfPmsZfOkoCJGAuAhS85uovemtyAjKVITE5/2+ZGjp7M16ctBJ9VOo7eSXOxlzQo52CZfBPm7S4vU2N6tpsMgYKjJy3FZVLh+H52+tJkUzpqvJF8cGPG/DGd2tx23tzMPDrv5SYLIKN+07rcgdPReu9bFLU186yt6cP4aakpI0r/7RmH37fcBB97qgvl+GXfl2fZNn8sPo/xFxIxOBHW6iRYBtysinVxHx0XCKEVURUPKS9/06ch8wNlpYDA+zIak/qMZmYgPqAI1MbTBwBXS8AAVYlAU8ToOD1NGHaJ4F0Ags2H8Y/ByLTz/K2cwhJx95R22azZYhMGfV9un1tLNt2FI7/6lQqgQeGLoTo1UdaZV7JIS4hCU+1u0YL5mKhgejUtIoeBe6gBLPUF1Epe0mpYkAd1KxQXE9jCA8JUGfAjdeUx2dPXI/Z6w7oc7vyRw5symr6oZzqdG31Mug3eRW2HoxEj1vqKJ9EugJZbUrhQH/1qyndQHBA2iiz5EuyqU1CYgqy2lPZ/GdyAskHDyLh779NHgXdJwESMCIB9VfFiG7RJxLISsDc57Lm7riF+XuzlMxp7d+5oQbwapfGei6uCN/hSmjKg11Vyobj5bsaomR4EMoWC0H7+pW0CB54dyO0b1AJnzzWAklqVDnrqhAyVaBBIAvkvQAAEABJREFUlVKY/XpHJVpvwBYlRCcv2YHG1Urj+/634tkOdXWbspERV5nG8Pq9TTC1T1s9FeK6q8uibuUSCA70R99ODZCkCg24uxG6ta6JMsqPlrXKQaYiSH1JV1cohs+evEH5GYwlW49AFddTI7LavKd5NS1mrygRikdaXY1eyg+JV8T8B49cJ6b0HGXx09mevsCN6QnEzZ+PlOiL3y6YPiAGQAIkYAgCFLyG6AY6YXUCi7YcUaOn+Vuqa8fhs3hy5DJ0/ngenhi5FAdPRSFZqcU3vl2LLoPn426VP2LOFrz+zRq8MGEFnhy1FA8MWYDBP2/Cu9//jfd++BtdP1uEnUcyz49cqEac7/t0AZ4b9yeeUHUOKLtzNx7CQ8MWoueY5Rj+2z+ZuuXpL5drOw8PX6T2i9Hlk/kYu3A7nh69DL3GLsfDqt5T6vibP3Ypv+ah24gl2HXkYps//bUPfWUqhkqOZdSys/nz2n0Qv7oMnofvV/2n7dz10VxMWboT76l45Fh8nrps1yX2MjnME3MSSExE3K+/mtP3wvKa7ZAACeSZAAVvnpGxAgnkjUBySooSbnvzVsmpdKo6jk1I0vNz5QE0OVdZkDxJkidzXSX/4OlovWrD+bg0cS3zX0+cjdOjqVIna4qOT4TUcc6XtX0joy/oB9ZsNpvzJUi+ZEi7spd0JDIGF5JS4GhTaXHta5TyQXySMpKkzolzcXoerpw7UlabjvpiU+KS5DiWWOVY9jnZc9jl3rwEknbvRtK+feYNgJ6TAAkYjgAFr+G6xC0O0YiBCCzecjRDKBrIrVxdqVY2HPe1vAp2pXfb1q+Ya1leJAFPEIhfvNgTZmmTBEjARwlQ8PpoxzPswiEgo7vTVhjnLWiuRh0S5I/N+yMweelOV6uwHAm4lUDykSOQkd6CG6UFEiABEgAoeHkXkIAHCfy5/TiORsZ6sAXPmP730BlMW7FHr+u7ZMsRzzRCqyRwGQJxS5ZcpgQvkwAJkIBrBCh4AbiGiqVIIG8EZCmv71flf+5u3lpjaRKwHoGU48eRuGOH9QJjRCRAAoVOgIK30JGzQV8hsHrXCf0WMl+Jl3FagoDhgpC5vPLh0XCO0SESIAFTEaDgNVV30VkzEZi+kqO7Zuov+mpMAimnTyNp2zZjOkevSIAETEMg74LXNKHRURLwHoHNByIuWffWe96wZRIwN4H4JUsy3sxn7kjoPQmQgLcIUPB6izzbtTSBr5fvskR89a4sCVmazBFMwyql8Hibmvptb448532r2hWcTy1/zAALh0DKmTNI+ifzi1AKp2W2QgIkYBUCFLxW6UnGYRgC8greLQciDeNPfh3peUsdDH28JcKCA7SJrjfVwKv3NMbZ2AQMfqw5OjaurPMdm+Y1yupX/jrOTbfP8pIN0/lvcYfj//jD4hEyPBIwNQHDO0/Ba/guooNmI7Bs21GzuXyJv23qXoHSRYMz5XdpXg3f/rEbv6zdjwWbDuOJttdkXA8O8MNr9zRRo8G2jDzTHaQ6vxfOdN5b3uGUyEi+fc3yvcwAScBzBCh4PceWln2QgDxNvuifw6aPXET7B7M2ZIojLCgApcKDdJ68TrhoaKA+ls27DzfDmt0n5DDnxCskUEACCevXF9ACq5MACfgqAQpeX+15xu0RAjuOnMPxs3Eese0to44xWxG0tzepgurli+L6WuWQmJSiXbq9yZWIT0jG2t0n9Tk3JOApArImb0qs+V7k4iketGteAvS88AlQ8BY+c7ZoYQLLtlnjrWSlwoMxuffNuqeGP3EDiocF4u0Z6zFu4b/o1romWtQshxXbj+nrvTvWQ5OrSqPfXQ3hZ7fht9c7QqZE6IvckIA7CaSkIHHjRndapC0SIAEfIUDB6yMdzTA9TyApOQVLt7pr/q7n/c2thYioePSZtAJdPpmPvpNX4mxMgi6+/fAZyMoN6/eewqe/bNJ5nT74HV0Gz8fI37cgJRW466O5kCkR+iI3JOBmAhfWreMSZW5mSnMk4AsEKHh9oZcZY6EQWLvnJM7FpgnDQmnQw41ExSUi9kISZC9NfdS1OYY9cT2mLt+FN75bq8Wt5CuNi0Ql9uMTk7UQEdEr+Uwk4AkCqefOIXn/fk+Ypk2jEqBfJOAGAhS8boBIEyQgBJZZZHRXYskuffjjBjw0bJFepSG76yu2H0evsVw6Kjs2zHMvAT685l6etEYCvkCAgtcXetn6MXo9wriEJKyx+ENbjpHenGDLKO/B09E5XWY+CbiNAB9ecxtKGiIBnyFAweszXc1APUngTzW6KV/pe7IN2iYBEkgnwIfX0kFkt2MeCZBAdgQoeLOjwjwSyCOBBZsP5bEGi5MACRSEQMKWLQWpzrokQAI+RoCC18c6XMJlci+BszEXsOVApHuN0hoJkECuBFJOnEBKVFSuZXiRBEiABBwEKHgdJLgngXwSWLvnVD5rshoJkEBBCCTt3FmQ6lKXiQRIwEcIUPD6SEczTM8RkLVpPWfdfJY7NKqMe1tcBccb2jo2roxHb6phvkDoseEJJO7aZXgf6SAJkIAxCFDwXq4feJ0ELkNgx5EzlynhO5f7dmqAWxtWQus6FfDaPY31m9e6tamFn9dy3VTfuQsKL9KkvXuRmpxceA2yJRIgAdMSoOA1bdfRcSMQOB+XgH0nzD+PsEaFYri/5VUoEhyQgbV+lZK4vlY53HhNebSsWQ6VS4VlXHMcyLX7VD3HeYuaZTF6/jaMW7Rdv5Ht+Y71sHjLEUTHJzqKcG9iAoZzPSUFyUr0Gs4vOkQCJGA4AhS8husSOmQmAlsPRkLeNGYmn7P6+lyHuni1S2M8eMPVmN6vPQL87KhVsTg+7dZSjdI2wUB1bdCD10JGap3rSr1equ5T7WrjybbX6EtHImL0dIbOzariv5NRuK5GWUxU4ldf5IYEPEAgkfN4PUCVJknAegTcLHitB4gRkUBuBLYfPpvbZVNcm7FqL54avUwnEbvFwwJRU434Tl6yA3d+NFen6LhETFi8PVM8P6/dh0c/X4yDp6JQqVTa6O+r36zBkcgYbN4fgdBAf4xb8K/pPxBkCponhiOQuD3zfWk4B+kQCZCAIQhQ8BqiG+iEWQlst8D83YioeI2/b6f6+GvXCZw6H4/Z6w9gxsq9Ov/2JlciMvoCTpyN0+eOzdEzsWhbvyKuKBmGUfO26Wx529q3f+zGvpPnERrkj7qVS+LzJ2/AxOfaZDslQley6oZxFQqB1Lg4JB87VihtsRESIAHzEqDgNW/f0XMvE0hISsYOC4zwBgf44ZPHWqiR2Vh8+stmjHz6xkxkH2tdE18t3ZGR17haaT3XV1ZhuLfFVQjwt6OdEr4ZBdRB/7saKVubcFvjynhx0kpsOxSJR7hSgyLDf54gkMTVGjyBlTZJwG0EjGCIgtcIvUAfTElg+5GzkBFNUzqf7nS5YiH4vv+taFi1FOThs1mv3IqouIsPmF13dVktaFftPKFr2JXK/ejR5uh1ax09VaH3+D+xasfxTIL3rmZVcSgiGnuPn0dyaqpesUFGetfsOqltGHZjU8EZ1jk6lhuBxN27c7vMayRAAiQACl7eBCSQTwL/7I/IZ03jVDt5Lg5dP1uE+4cswAMqyf71b9dkONhTCdtZq//LOE9JBV6cuBIj527Vo7xyIVllrtt78eUbN9WpgI9/2iiX0GfCClxXoxy+Xr4Ly7Yd1XnZbwyQq8S5AbygC/kgkHzkCJcnywc3ViEBXyJAwetLvc1Y3UrACg+sKf2K82pE1zlJnoCqVjYcZYoGY/qKPXKakXYePYv4xGSMf7a1Hh2uVbE4Zqy8WKb/lNWIvZCkyx+KiNFTGwwvdrW33JiZgLxq2Mz+03cSyCDAA48QoOD1CFYatTqBFDUauEsJPyvHeViJ1SdGLdNTF7KLs9uIJeg7aSVk7zwNIruyzCMBTxNI5oNrnkZM+yRgagIUvKbuPjrvLQKnzsUjynsvUyiUsGV+smMFh+walOuyBFl215hHAoVNgIK3sImzPRIwFwEKXnP1F701CIHj52IN4gndIAESEALJx4/LjsnnCDBgEnCNAAWva5xYigQyEci6Jm2mizwhARIodAIywpua6piBXujNs0ESIAGDE6DgNXgH0b2CE/CEhRNnOcLrCa60SQL5JpCSgtTTp/NdnRVJgASsTYCC19r9y+g8ROBElreOeagZmiUBEsgDARnlzUNxXyzKmEnAZwlQ8Pps1zPwghDgHN6C0GNdEvAMAc7j9QxXWiUBKxCg4LVCL7ozBtpyiQBHeF3CxEIkUKgEOMJbqLjZGAmYigAFr6m6i84agUBySgpOn483giv0gQRIwIlAcoR7337oZJqHJEACJidAwWvyDqT7hU/gXGwi5MUThd8yWyQBEsiNQGpUFLhSQ26EeI0EfJcABW+B+p6VfZHAmegLvhg2YyYBcxCI5Qoq5ugoekkChUuAgrdwebM1CxA4wZdOWKAXGYLbCRjEYIoa5TWIK3SDBEjAQAQoeA3UGXTFHASOc0kyc3QUvfRJAjKtwScDZ9AkQAK5EihMwZurI7xIAmYhEBOfaBZX6ScJ+BwBjvD6XJczYBJwiQAFr0uYWIgELhJISEq5eMIjEsgXAVbyFIHU6GhPmaZdEiABExOg4DVx59F17xBISEr2TsNslQRI4LIEOMJ7WUQsQALGIlBI3lDwFhJoNkMCJEACJOB5AhS8nmfMFkjAjAQoeM3Ya/SZBHyLAKMlAZcJ8KE1l1GxIAn4FAEKXp/qbgbrDgKcw+sOirRBAp4hwBFez3ClVaMQoB/5JUDBm19yrOezBBL50Jo1+95ms2ZcPhZValycj0XMcEmABFwhQMHrCiWWIQETEaCr+SSQmprPiqxmKALsR0N1B50hAaMQoOA1Sk/QD9MQSOAqDabpK7satC1fPBRNryqDu5pVRa9b6+C9h5thUu82eKRVDdPEQUdJgATyRYCVSCCDAAVvBgoekIBrBDiH1zVOhVUqN1E7+/XbMeWFm/Fh1+vQ+7a66NK8Gq67uiwqlgyDn1QsLCfZDgmQAAmQgFcJ2L3aOhsnAW8TYPumIKAGalGuWAgaVyuNTk2roOctdfDuQ80w4bk2yE3U+lPUmqJ/6SQJkAAJeJoABa+nCdM+CZCAywTKFA1Gw6qlcHuTK/FM+9oY9MC1GNertRK1HTG1T1t8/GhzvHB7PdzTohqa1yiLyqXC4BZRm5CA5FOnXPaTBQ1MIJkvhslv77AeCViZAAWvlXuXsXmEQKA/f2wKAjYnUfvb6x3xzYvt8MljLfDiHfVxX8urcH2tcqhSpggC/NzAXETtsWNI3LYNF/74A7E//4zoiRNx/tNPce6jjxA7a1ZBwmJdoxDw8zOKJ/SDBEjAQATc8FfEQNHQFQ8ToHkhUKJIkOyYciFQKjwYDaqUQsfGlfFUu2vwv/ubYmzPm+BxUZuYiOTjx9NE7Z9/Iu6XXxA9aRLODxmiRW30uHGI/V9tcvoAABAASURBVOEHxC9disTNm5F8+DBSY2NziYSXSIAESIAErECAgtcKvcgYCpVAySLBhdqeURvLSdT++lpHfNe3HT7t1gJ9OzXAA9dXxw3XlEfVsuHuGalNSkoTtf/+iwsrVqSJ2smTcX7oUJz78ENEjx2bJmqXLEHCpk1IPnQIqTEx4H8k4FYCNEYCJGAqAhS8puouOmsEAmHB/kZwo1B8KKlGs+tfWRIdGlXGk22vwZv3NcWXPW5CbqI2yB1TPpSoTTlxAonbt6eJ2l9/RfRXX6WJ2g8+SBO133+P+MWL00TtwYNIjY4uFCZshARIgARIwHwEKHg912e0bFECIgKtFFqx0EDUqVwCtzSshO4318Ib9zbBqGda4ddXb8O0l9pjyOMt0e/OBnjwhupoVbs8rioXDreJ2pMnkbhjBy6sXIm42bPTRO2wYTinRG3UmDGInTkzTdRu3IjkAwcoasH/SIAESIAE8kPAnp9KrEMCvkygRFiw6cLPSdT+PPA2zHz5Fgzvfj3639UQD994NW6qUwFXly+KoAA/FPi/5GSknDqVJmpXrdKiNmbKFJwfPjxN1H75JWJnzED8okVI2LAhTdRGRRW4WRowGoHC88cWGFh4jbElEiAB0xCwm8ZTOkoCBiFg1BHeoiEBqF2pONo3qIjH29TEa/c0xsinb0RuojYk0H2iNmnnTlxYvRpxv/2GmKlT00Tt++8javToNFG7cKEWtUn79yP1/HmD9CbdsBoBW5EiVguJ8ZAACbiBgGEErxtioQkSKBQC3lylITw4ALUqFkfbehXxWOuaGNilEUY8dQN+GtAB3/e/FZ89cQNe6dwIj7SqgTZ1r0CNCsXgFlGbkoKU06eRtGtXmqidMwcxX3+N8599ljZSq0RtzPTpiF+wAAl//42kffsoagvlbmQjWQnYKXizIuE5CZCAIkDBqyDwHwnkhYCswxsa5LkH13IStbNeuRU/qDTiyRu00H30phpa+Na6ojjc4o+I2oiINFH711+I+/13LWqjPv8c52SkdtQoxEybliZq169H0n//IfXcOSA1FfzPrQRorAAEOMJbAHisSgIWJkDBa+HOZWieI1DQaQ1hSjDL6KuMwnZVwnXA3Y306GxuoraIGt0tcEQiaiMjkbR7NxLWrEkTtd98g6gRI9JE7ciRaaJ2/nwkrFunRW3K2bMUtQUGTwOFRYAjvIVFmu2QQGEQcF8bFLzuY0lLPkQgzAXxmZOolakHPw7ooOfXyjzbbq1rol39inr+rVtErRpxTRFRu2cPEtauRdzcuYj59ts0USurH3zxBWK++w5x8+ZBi9q9e5Fy5gxFrQ/dv1YOlSO8Vu5dxkYC+SdAwZt/dqzpwwRKhgXp6EMD/fWKBq3rVMAjra7WKx0M7369XvkgJ1ErD5fpygXZiKhVIjVJiVUtapV41aJWiVk9/UDt5VzErlxPUuJXi1o1wluQZo1Ylz6RgDMBjvA60+AxCZCAgwAFr4ME9ySQBwK9OtTB9H7t8dPADnrN2tfvbYLH29TSa9nKmrayDFgezGVfVETt2bPQonbdOsTPn69HZqNGjkybfjBiBGK++UaP4Mr0BC1q1cguKGqz58lcnyDAEV6f6GYGmT0B5uZCgII3Fzi8RAI5EShfPBQl0kd5cyrjar7MkZUHwBLWr08TtdOmIWrUKOiXL3z+eZqo/f13XPjrLz33NiUiAhS1rtJlOV8jwBFeX+txxksCrhGwu1aMpUiABApCQFYzkKW6tKhdsACyhJcWtbL6gYjar79G3Jw5aaJ21y69BBiSkwvSZPZ1mUsCFifAEV6LdzDDI4F8EqDgzSc4ViOBrATkZQryUgVZhzZ+4cI0UTt6tB6plfVq5WUMWtSuXg15SYOsa0tRm5Uiz0mggARCQgpogNV9hQDj9C0CFLy+1d+M1kMEko8d028Wi5kyBfKmsQurVqWJ2lOngKQkD7VKsyRAAs4E7KVKwWazOWfxmARIgAQ0AQpejYEbEsiOgOt59rJlXS/MkiTgQQJrIiLwztatOB4X58FWjGnar0IFYzpGr0iABLxOgILX611AB6xAwObnB7/y5a0QCmPIgcDBmBi8+PffuG/FCqxVotJR7GR8PN5TAlPyR+3e7cj22r58cDC2nD2LeB9crYM/gx687WiaBExOwG5y/+k+CRiGAEeXDNMVHnHkyrAwPF6tmrY9ZPt2/BcdrY/LKoHZv3ZtFPH3R+8aNXSeNzdVlJ8BPvq1Pn8GvXnnsW0SMDYBCl5j94+ZvPN5Xzm65Bu3wPWlS0NE7v/++QcRFy7ooP2UwAxRo/z6xAObBDVaey4xUVtOVMeHY2P1sWOTmprqOMx1n6LKJan6UkiOT6f7L/WPxsVBbMs1KRPvwiohYkPKSh0jJL8rrjCCG/SBBEjAgAQoeA3YKXTJnAQ4umTOfsur10FK2L7XoAH87Ha8tWUL4rIRhrOPHMHATZvw0bZteEeViUwXls5t/XDwIMbs2YOXNmzAkhMn9KUDMTF6esTIXbvwphLUn6iRZJmL+8zatfhm3z6cS0jAa5s3o5+qIxVOxcdj+I4d6LVuHX48dEiyckwyzeGjf//Fs+vXQ6ZhDFD+vaFsSYXRu3ejz99/46AS0jJd45FVqzBC+SDtP7xyJWYp23L8+F9/4dfDh6WKnjbhsOcQzvqClza2YsVgU6PtXmo+S7M8JQESMBoBCl6j9Qj9MS0BO+fwmrbv8up4icBAfKBE72klOD9WIlJGOh02RFh+t38/PmzYEK/VrYtgJZA/UGUc12UvQlVEZKi6VjQgAGOU4BQxO0iJY5k28XzNmqhepAiS1Whs+ZAQtEl/KLKYarf/NdeICZ3+PHUKt6tRzaeqV8evSmTrzBw2K1VZGYXuV6sWwvz98UiVKhkle6v2JE8yritVCleHh0PmAg+oXRsdlf3Vp0/jBVWmj0qz0gWvsz2xK3W9mfgNizfps20SMD4BCl4v9RGbtR4BmxIudvV1t/UiY0TZEagUGop3lejdfu4cxqqRWkeZbeq8VFAQZJqD5LUpVw4ycussilco8dmoRAl0q1YN79Svj5k33oiopCREqyR2pV4ZZUP2kmxq45i0YLfJmcpQ/+6pXBkBaqR52cmTcFxX2dn+k7Li27i9e/V1sZOijy7dyLVy6aOl4eq+Fl9E1Io4T0gf0c5q71IrhZvjzxUaChc4WyMBkxGg4DVZh9FdYxPgKJOx+6eg3olAdJ6zek3RonhdjeLKSKvDdg01OnpcjfxGJiTorLNqX0yJRhGROkNtRNT+HRkJx1SADepYhKW6hM1nz8oOSakXJWyQGgmWObZywVFHjn9Wo60/HDqEG7J80EpWdWVerpRxpCNxcRh17bVaiP+hBLIIZRlVFiEuQtshZKW8zBl2tO6Y1+vID1S+yHFWe5KXz+SWapxS5BaMNEICliVAwWvZrmVg3iDAP7reoF44be6KisKk//6DfJU/8+DBjEZlpLbfNddkvPCgacmSuF2NNsrcXSn/y5EjkKkBGRXUQWM1uttQJZl7O3DTJshDaCKKZZrBB9u26Xm8Mgqsiup/1yqbe1T7z69fj9+PHkWKyv1e+XBGiel90dGQEd44NTr8kxLAMp1Crn+zfz9EzKqi+t8qNao8QY3uitCV9msqYR7q748n16zBqF27dBmp+6cSw/uVzfnHjkHqLDx+XM/X3XjmDKYfOIAY1c5XioNcc7anDXhxw589L8Jn0yRgAgLmELwmAEkXSUAI8I+uULBmkjm1wxo3xrfXX48ulSplClJWbvi0UaOMvCerV8cQVVaE78imTVFLjQRnXFQH/nY73lAjw6PViKvMBb4r3Z5MExjXrBleq1MHbcuVUyXT/smo8dSWLTG8SRPIEmjfKR/uv/JKdK9WDe83aIDXVfkp6rr49WCVKvhGHb9SuzacR5VlbvBjVavquccyL1iE76TmzSE+DEyv/1a9eri+TBkd4yeNGqFF6dL4Uvk4uUULNCxeHHJ9umq7q7KT1V6ap17aBgXBpgS8l1pnsyRAAiYgQMFrgk6ii+Yh4FexIpD+la95vKanrhCQObnyAJoIRUlZ6zge+nLkSxkRls6i03HNsZflzUT8Os5lX1KJN8mTKQ2SJE+So205DlSCWfY2mw0yX9hms0Hm2Eqew08pL+eOVCQgAPLQm7M/ciyjvFLGYVPqi++S5Lr44jiWMo7z7OyJHW+kAPUBwxvtsk0SIAHzELCbx1V6SgLGJ2ALDIS/GmEzvqf00MgEZJrCuogI7I+J0UuIGdlXI/gWULOmEdygDyRAAoVLIE+tUfDmCRcLk8DlCfCP7+UZsUTuBOSlD3q5sauugjxAlntpXvUzwBvu2AskQALGJkDBa+z+oXcmJMA/vgbqNJO6UrtYMbQsXVrPp5UVHUwaRqG47Ve5MuyhoYXSFhshARIwLwEKXvP2HT03KAG/kiVhL1XKoN7RLRKwFgF+o2Kt/mQ0niPg65YpeH39DmD8HiEQwK9YPcKVRkkgK4GAWrWyZvGcBEiABC4hQMF7CRJmkEDBCfib8iGagsdNCyRQmARsRYrAXqZMYTbJtkiABExKgILXpB1Ht41NwE9WaggIMLaT9I4ETE4goG5dk0dA9w1LgI5ZjgAFr+W6lAEZgYDNbkfA1VeD/5FAQQmcunABskSZvFXNYUtWcTgZH69Pk1NTIcuY7Y6KgqT/oqMRl5ysr1l9w/m7Vu9hxkcC7iNAwes+lrTkWwQuG60/5/FelhEL5E4gOikJg//9F5P++w/rIyN14ajERLyycSN+OXxYny86fhxv/fMPPtm+XacBmzbhUGysvmbpjb8//KpWtXSIDI4ESMB9BCh43ceSlkggE4GAa67JdM4TEsgrgfe2bsWNZcrgy2bNcEv58rr6j0royhva9InayEjvaHV9/HXXYUijRqgcGoqa4eHqirX/yXQG+SbF2lGaJTr6SQLGJ0DBa/w+oocmJWALCUFAvXom9Z5uG4FAi9Kl8c3+/Zh+4ECGO49Xq4ZqRYpknD+mzoumzxf/5cgR3HHFFRnXrHwQ1LSplcNjbCRAAm4mQMHrZqA0lz0BX80NuvZaXw2dcbuBQJdKlfC2+tD0w6FDep6uw2RqaipSHSfpe5m3u/zkSbQuWzY9x7o7e4kS8Ktc2boBMjISIAG3E6DgdTtSGiSBiwRktQZ7yZIXM3hEAnkkUK94cdRXafv587rm0hMnsFilVadPQ451ptrMP3YMrcqUQYDd+r/Wg1q0UBGb9h8dJwES8AIB6/9m9AJUNkkCzgQCOcrrjIPHeSQgo7kxSUloqESvVJU5vWOaNYMkOZY8Walh9pEj6KxGhOXc0snPDwENG1o6RAZHAiTgfgIUvO5nWnCLtGApAoGNGwM+MOpmqU4zQDAbIiPx+F9/YcSuXXi0alVUDA3VXskIbrASfZLkWDL/PHUKDZQgLhEYKKeWTjIv3hYUZOkYGRwJkID7CVDwup+Gn3HlAAAQAElEQVQpLZJAJgK24GDIE+WZMnlCApch0KhECYxq2hQv1qqlxWxuxZuXKoWeFl33OWvcnBeflQjPSYAEXCFAwesKJZYhgQIS4B/pAgL0wep2mw1F0ldfuFz4IekjvpcrZ/br8hphP1+YtmH2jqL/JGBAAhYQvAakSpdIIAsBvyuvBB9eywKFpySQRwL84JhHYCxOAiSQQYCCNwMFD0jAswQCmzXzbAO0TgJWJqBGsfmwmpU7mLGRgGcJUPB6li+tk0AGgcAmTQA+bJPBgwckkBcCstoJH1bLCzGWJQHfJpA1egrerER4TgIeImALDETwjTd6yDrNkoCFCajR3aCbbrJwgAyNBEjA0wTsnm6A9kmABC4SCGzeHPLK4Ys5PPIeAeu2vPXsWayNiICs4StRblHnK06dkkNTJnnRhD19WTZTBkCnSYAEvE6AgtfrXUAHfImALSAAQa1a+VLIjLWQCfx25AjkLWzrIiMx69AhpKSmYtqBA7jWrG/8k58ZfjNSyHcRm/M5Aj4QMAWvD3QyQzQWAT0XsUgRYzlFb7xGQN6i9l90NHZHRem0PyZGi1RxKDopSY/URl64IKeZkrxdbZ9TPbERl5wMeQnF3ZUqoXPFitikRnbnHTuG9uXLQ15UkcmASU6CWraErGVtEnfpJgmQgEEJUPAatGPolnUJyChvsPlGea3bIV6ObOSuXfhg2zZ8sn07Pv73XwzYuFEL3l1KAA/dsQMLjx9Hj3XrcCwuLpOni1T+W//8o+tJ3QGbNuFQbCyqqw9TK0+dwurTp1EzPFzvby5bNlNd05wEBUEEr2n8paMkQAKGJUDBa9iuoWNWJhDQtClsSphYOUbG5hoBebnExObNMf666/Tb0tqp0Vh/ux0VQ0IwqF49vFG3LsoHB+OgErPOFk/Gx2N0s2a63pBGjVA5NFQL3KeqV0dZVb6GErsy4tu1alXYbDbnqqY5Dr7hBo7umqa3fMlRxmpGAhS8Zuw1+mx6AjY/PwS3aWP6OBhAwQn0rlEjw8jMgwf1VATJCPP3lx3kgbNSaqQz6xzcx6pVQ9GAAF3mlyNHcMcVV+hjPyVubyhTBmVUHZkucTAmBqPUKPJHahQ5u6kRupIBN/JwpzzkaUDX6BIJkIAJCVDwmrDT6LLxCbjiYUDjxrAVLepKUZbxAQLbz51DiPogVF6N7DrCnX/sGNZHRuJNNco7evduJKSkIOLCBZ0cZWQUd/nJk2idZdrCV/v24dGqVfWDa71r1kT94sWxTJVz1DP6Xh7ulKX8jO4n/SMBEjAHAQpec/QTvbQgAZv62jr45pstGBlDyg+BmYcO4d7KlTOqyrze8Xv3Yu7Ro3h41SrIQ2mB6p4ZoUZrRyrx6ygooriVGtENUNcceRuUSK4SFqanNkj+zvPn9UhxbZN8wJLpPkHN+GZCWOM/RkEChiBAwWuIbqATvkpAXpVqL1/eV8Nn3OkEDsfG4nhcHBqVKJGeA7x8zTX4umVLTFFJ9kPUNwJysZ/Kf6lWLTmErNQw+8gRdK5USZ87Nn8rwXtfunh+t359bFeCV1ZuqF2smKOIofchHTsC6VM6DO0onSMBEjANAbtpPKWj1iXgw5HZbDaEdukCqD34n88SkPVyH7jyykzxyzJiMsXBkWRurhQoFhCQMXdXliBrULw4SgQGyqWM9MzVV2csQ1YyKAhmErv+NWogoE6djFh4QAIkQALuIGB3hxHaIAESyD8Bv7Jlwdem5p+fFWo+cdVVaKPug7zG0rxUKb2yQ17rGba8EvMhnTsb1r3CcIxtkAAJeIaA3TNmaZUESCAvBETw2s36Jqy8BMqy2RKQ1RZstrwvHSajvzISnK1RE2aGdOgAe1iYCT2nyyRAAkYnQMFr9B66xD9mWJGAPMAWIlMbrBgcYyIBFwj4XXEFAps2daEki5AACZBA3glQ8OadGWuQgEcI+FeqhEA+me4RtjRqcAJ2O0LuvTfvTrIGCZAACbhIgILXRVAsRgKFQSC4fXvYwsMLoym2QQKGISDL8/lxSo9h+oOOkIAVCVhd8FqxzxiThQnIQvt8aMfCHczQLiFgL10agddff0k+M0iABEjAnQQoeN1Jk7ZIwA0EAqpXR0C9em6wRBMk4EzAgMc2G0LvvRcyh92A3tElEiABCxGg4LVQZzIU6xAIueMO2EzykgDrUGckhU0guG1b+PHFK4WNne2RgE8SyCR4fZIAgyYBAxKwBQcj7OGHAT8/A3pHl0ig4AT8a9RA0I03FtwQLZAACZCACwQoeF2AxCIk4A0CfuXKIeSuu7zRNNsEyMCDBOwlSiD0vvs82AJNkwAJkEBmAhS8mXnwjAQMRSCwQQOuTWqoHqEzBSbg74/QRx6BPKBZYFs0QAIkUAgErNEEBa81+pFRWJhAcMeOsFeoYOEIGZovEQi95x74lS7tSyEzVhIgAQMQoOA1QCfQBRLIjYDNzw9hDz0EW0hIbsW8eo2Nk4ArBIJatEBA7dquFGUZEiABEnArAQpet+KkMRLwDAF70aIIfeABzxinVRIoBAJ+FSsi6JZbCqElNkECXiXAxg1KgILXoB1Dt0ggKwH/qlUhyzhlzec5CRidgC00FKEPP8z1do3eUfSPBCxMgILXwp3L0AxKoABuBbVqBf+aNQtggVVJoJAJ+PvrKTn2sLBCbpjNkQAJkMBFAhS8F1nwiARMQSD0/vvhd+WVpvCVTvo4AZsNYWpk169yZR8HwfBzIsB8EigsAhS8hUWa7ZCAmwjYZMTs0Ue5coObeNKMhwgosSvzzv2vuspDDdAsCZAACbhOgILXdVYs6RUCbDQ7AraAABTp1g32smWzu8w8EvA6gZB77kHANdd43Q86QAIkQAJCgIJXKDCRgAkJ6NcPd+8Oe8mSJvSeLluZQEinTgisV8/KIXonNrZKAiSQbwIUvPlGx4ok4H0C9pAQhCnRayte3PvO0AMSUATkRSmBTZuqI/4jARIgAeMQoOA1Tl+4wxPa8EEC9vBwFBHRW6SID0bPkI1EIKh1awRdd52RXKIvJEACJKAJUPBqDNyQgLkJ2IsVSxvpDQ01dyD03rQEAps1Q3CbNgbyn66QAAmQwEUCFLwXWfCIBExNwK9UKS16ERRk6jjovPkIBN10E0Juv918jtNjEiABnyHg04LXZ3qZgfoMAb8yZVDk6adhUyO+PhM0A/UeAZsNIffei+Cbb/aeD2yZBEiABFwgQMHrAiQWIQEzEfArXRrhPXvCr0oVM7lNX71LIO+tBwQg7LHHuBoD+B8JkIAZCFDwmqGX6CMJ5JGATVZv6NYNAY0a5bEmi5PA5QnYwsJQ5Jln4F+t2uULswQJkAAJGICA64LXAM7SBRIgAdcJ2Ox2hHbunDa3Uh27XpMlSSBnAnb1DUKRHj0g02dyLsUrJEACJGAsAhS8xuoPekMCbicgT8/LV88IDHS7bV816Ktx+1Wtqkd27UWL+ioCxk0CJGBSAhS8Ju04uk0CeSHgL0KlZ0/YS5TISzWWJYEMAgF16+o5uzZ+cMpgwgMSIAGYBgEFr2m6io6SQMEI+JUsqR9m869Zs2CGWNvnCAS3bYvQ++6DTJPxueAZMAmQgCUIUPBaohsZBAm4SCAoCGEPP4yQTp2AgAAXKxWwGKubloAsbxf29NMIatXKtDHQcRIgARIQAnbZMJEACfgWgcCmTVFEpjiULetbgTNalwkENGiAos89B/+KFV2uw4IkQAK5E+BV7xGg4PUee7ZMAl4l4FeqlJ7iEHTDDYDNBv5HAppAYCBCH3gAoV26gA86aiLckAAJWIAABa8FOpEhWIlAIcdityO4fXuEPf44ZG3VQm6dzRmMgF+lSgjv3RsBtWsbzDO6QwIkQAIFI0DBWzB+rE0CliDgX6UKwp9/HnygzRLdmfcg5INP27Yo8uST4JJjecfHGh4iQLMk4EYCFLxuhElTJGBmArbg4LQH2jp35lfZZu7IPPpuK14cRRwPpnFqSx7psTgJkIBZCFDwmqWn6Gd2BJjnAQKBjRqhqHytXb++B6zTpGEIBAQguE0b3dd+FSoYxi06QgIkQAKeIEDB6wmqtEkCJidgK1oUoffcg7CnnoKdYsjkvXmp+wHqw0zRPn0Q1Lo14O9/aQHmmJAAXSYBEsiNgD23i7xGAiTg2wT85SGmHj30E/u28HDfhmGB6OXDi3yIkQ8ztiJFLBARQyABEiAB1whQ8LrGyRKlGAQJ5JeAXpP1hRfSXkDAEcH8YvRaPRG3IZ07I1x9eJEPMV5zhA2TAAmQgJcIUPB6CTybJQHTEZA5n23boujzzyOgTh3Tue+TDqsPJ0E33giZviBzs32SQfZBM5cESMDHCFDw+liHM1wSKCgBed1s6P33o8hTT3G91oLC9FR9JXQDr7tOfzgJbtcOUB9WPNUU7ZIACZCAGQjYzeCkV3xkoyRAArkSkJcUyBu5wl94AYFNmgB+frmW50XPE7CFhuoH0Yq+/DJCOnaEfDjxfKtsgQRIgASMT4CC1/h9RA9JwNAE7CVLIuTOO1G0Xz8E3XQTbCEhhvbXis7pPrj9dt0HstSYrKnszjhpiwRIgATMToCC1+w9SP9JwCAEZHQx+OabUfSll/Toor14cYN4Zl03/CpWhEwv0aPszZpxlN26Xc3ISIAECkjATYK3gF6wOgmQgHUIBARA5o+G9+mjxZjfFVdYJzaDROJfsyaKdO+u35DGBwgN0il0gwRIwNAEKHgN3T10jgRMTMBm06s5FHnmGRTp2RNBLVtClscycUSuue6hUvYyZRAsq2SoEfSwhx+GX5UqHmqJZkmABEjAegQoeK3Xp4yIBAxHwK98eQTfequeYxr26KOQdX25csDlu0k+IMgHhSI9eiD8uef0OsjyFrzL12QJEiABEvA+ASN5QMFrpN6gLyRgdQJq1Ne/enX95rZiAwZA3vjlf/XVgMoH/0sjEBiIgIYNEfbYY/oDgnxQ8KtQIe0atyRAAiRAAvkiQMGbL2ysRAIkUGAC/v4IqF8fYV27omj//gju0AEyN9UXVxiQUduA+vXTPgi88gpC774b/lddBX4QAP8jARIgAbcQoOB1C0YaIQESKAgBWeEhqEULyNzUogMHIvzZZxFy++0IqFvXkvN+7aVK6bWLQ7t0QfiLL+qVLWS0W0/1UB8ECsKSdUmABExKgG57lAAFr0fx0jgJkEB+CNjLlkVgs2YIve8+yEsUZNmtkLvuQmCjRrCXKJEfk16tYy9XTq9cIUuIFVUjuOHPP6/XLhaBy+XbvNo1bJwESMBHCFDw+khHM0xLEPDZIOTFCoGNGyOkc2eE9+mDYq++CnmQSwRkcLt2erTUv2rVtDeLeWM+sJ8fZNRW5iOLUJfpGWEPPaQfNCv2xhsI79VLr00sS4jJaLbPdiQDJwESIAEvEbB7qV02SwIkQAL5JxAUBHmQSwRk0I036tHSsMcfR9G+fVHsf/9DeO/eenpEyG23Qa7L/FiZg9cTcQAAB3lJREFUEysjx/kRnLbwcN2ef40aepRZ3igX0qkTwrp1g0xJKPbmm5BRW5mPLFMxZHqGf61akKXEwCkK+e9n1iSBHAnwAgnkjQAFb954sTQJkIAJCNhLl9YPwAU2bw4ZAZb5sbLqgcwNlikFxQYNQl5S0X799Ihy2COP6FFmeaNcYNOm8K9WDZySYIIbgi6SAAn4PAEKXp+/BawLgJGRAAmQAAmQAAmQgBCg4BUKTCRAAiRAAiRgXQKMjAR8ngAFr8/fAgRAAiRAAiRAAiRAAtYmQMFr7f51PTqWJAESIAESIAESIAGLEqDgtWjHMiwSIAESIIH8EWAtEiAB6xGg4LVenzIiEiABEiABEiABEiABJwIUvE4wXD9kSRIgARIgARIgARIgAbMQoOA1S0/RTxIgARIwIgH6RAIkQAImIEDBa4JOooskQAIkQAIkQAIkQAL5J1AYgjf/3rEmCZAACZAACZAACZAACRSQAAVvAQGyOgmQAAm4ToAlSYAESIAEvEGAgtcb1NkmCZAACZAACZAACfgygUKOnYK3kIGzORIgARIgARIgARIggcIlQMFbuLzZGgmQgOsEWJIESIAESIAE3EKAgtctGGmEBEiABEiABEiABDxFgHYLSoCCt6AEWZ8ESIAESIAESIAESMDQBCh4Dd09dI4EXCfAkiRAAiRAAiRAAtkToODNngtzSYAESIAESIAEzEmAXpPAJQQoeC9BwgwSIAESIAESIAESIAErEaDgtVJvMhbXCbAkCZAACZAACZCAzxCg4PWZrmagJEACJEACJHApAeaQgC8QoOD1hV5mjCRAAiRAAiRAAiTgwwQoeH24810PnSVJgARIgARIgARIwLwEKHjN23f0nARIgARIoLAJsD0SIAFTEqDgNWW30WkSIAESIAESIAESIAFXCVDwukrK9XIsSQIkQAIkQAIkQAIkYCACFLwG6gy6QgIkQALWIsBoSIAESMAYBCh4jdEP9IIESIAESIAESIAESMBDBLwueD0UF82SAAmQAAmQAAmQAAmQgCZAwasxcEMCJEACXidAB0iABEiABDxEgILXQ2BplgRIgARIgARIgARIID8E3F+Hgtf9TGmRBEiABEiABEiABEjAQAQoeA3UGXSFBEjAdQIsSQIkQAIkQAKuEqDgdZUUy5EACZAACZAACZCA8QjQIxcIUPC6AIlFSIAESIAESIAESIAEzEuAgte8fUfPScB1AixJAiRAAiRAAj5MgILXhzufoZMACZAACZCArxFgvL5JgILXN/udUZMACZAACZAACZCAzxCg4PWZrmagrhNgSRIgARIgARIgASsRoOC1Um8yFhIgARIgARJwJwHaIgGLEKDgtUhHMgwSIAESIAESIAESIIHsCVDwZs+Fua4TYEkSIAESIAESIAESMDQBCl5Ddw+dIwESIAESMA8BekoCJGBUAhS8Ru0Z+kUCJEACJEACJEACJOAWAhS8bsHouhGWJAESIAESIAESIAESKFwCFLyFy5utkQAJkAAJpBHglgRIgAQKjQAFb6GhZkMkQAIkQAIkQAIkQALeIGBswesNImyTBEiABEiABEiABEjAUgQoeC3VnQyGBEjAqgQYFwmQAAmQQP4JUPDmnx1rkgAJkAAJkAAJkAAJFC6BfLVGwZsvbKxEAiRAAiRAAiRAAiRgFgIUvGbpKfpJAiTgOgGWJAESIAESIAEnAhS8TjB4SAIkQAIkQAIkQAJWIsBY0ghQ8KZx4JYESIAESIAESIAESMCiBCh4LdqxDIsEXCfAkiRAAiRAAiRgbQIUvNbuX0ZHAiRAAiRAAiTgKgGWsywBCl7Ldi0DIwESIAESIAESIAESEAIUvEKBiQRcJ8CSJEACJEACJEACJiNAwWuyDqO7JEACJEACJGAMAvSCBMxDgILXPH1FT0mABEiABEiABEiABPJBgII3H9BYxXUCLEkCJEACJEACJEAC3iZAwevtHmD7JEACJEACvkCAMZIACXiRAAWvF+GzaRIgARIgARIgARIgAc8ToOD1PGPXW2BJEiABEiABEiABEiABtxOg4HU7UhokARIgARIoKAHWJwESIAF3EqDgdSdN2iIBEiABEiABEiABEjAcARMLXsOxpEMkQAIkQAIkQAIkQAIGJEDBa8BOoUskQAIkkCcCLEwCJEACJJArAQreXPHwIgmQAAmQAAmQAAmQgFkI5OQnBW9OZJhPAiRAAiRAAiRAAiRgCQIUvJboRgZBAiTgOgGWJAESIAES8DUCFLy+1uOMlwRIgARIgARIgASEgA8lCl4f6myGSgIkQAIkQAIkQAK+SICC1xd7nTGTgOsEWJIESIAESIAETE+Agtf0XcgASIAESIAESIAEPE+ALZiZAAWvmXuPvpMACZAACZAACZAACVyWAAXvZRGxAAm4ToAlSYAESIAESIAEjEeAgtd4fUKPSIAESIAESMDsBOg/CRiKAAWvobqDzpAACZAACZAACZAACbibAAWvu4nSnusEWJIESIAESIAESIAECoEABW8hQGYTJEACJEACJJAbAV4jARLwLIH/AwAA//9Wh1MGAAAABklEQVQDADlgpRpdhKazAAAAAElFTkSuQmCC"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# ── Structural profile: Equal Sum vs. non-Equal Sum khipus ─────────────────────\n",
    "profile_df = equal_df[['kfg_name', 'num_equal_sums', 'num_pendant_cords',\n",
    "                       'num_seriated_groups', 'num_banded_groups']].copy()\n",
    "profile_df['group'] = (profile_df['num_equal_sums'] > 0).map(\n",
    "    {True: 'Has equal sums', False: 'No equal sums'})\n",
    "\n",
    "# ── Pie chart: Equal Sum vs. non-Equal Sum khipus ───────────────────────────────\n",
    "pie_counts = profile_df['group'].value_counts().reset_index()\n",
    "pie_counts.columns = ['group', 'count']\n",
    "\n",
    "fig = px.pie(\n",
    "    pie_counts,\n",
    "    names='group', values='count',\n",
    "    color='group',\n",
    "    color_discrete_map={'Has equal sums': 'steelblue', 'No equal sums': 'lightcoral'},\n",
    "    title='Equal Sum vs. non-Equal Sum khipus in the corpus',\n",
    ")\n",
    "fig.update_traces(textinfo='label+percent+value', pull=[0.05, 0])\n",
    "fig.update_layout(template='plotly_white', height=420,\n",
    "    font=dict(family=\"ETBookOT\"))\n",
    "fig.show()\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "0ebf803c",
   "metadata": {},
   "source": [
    "### Does size drive Equal Sum density?\n",
    "\n",
    "Among khipus that already have at least one Equal Sum, do larger ones accumulate\n",
    "more? The log-log scatter below tests this directly, with a power-law trendline\n",
    "fitted in log-space. The Mann-Whitney table underneath confirms whether Equal Sum\n",
    "khipus are themselves larger than the rest of the corpus.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "id": "f5ff8ed9",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.plotly.v1+json": {
       "config": {
        "plotlyServerURL": "https://plot.ly"
       },
       "data": [
        {
         "hovertemplate": "# Pendant cords (log scale)=%{x}<br># Equal Sums (log scale)=%{y}<extra></extra>",
         "legendgroup": "",
         "marker": {
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          "opacity": 0.55,
          "symbol": "circle"
         },
         "mode": "markers",
         "name": "",
         "orientation": "v",
         "showlegend": false,
         "type": "scatter",
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         "line": {
          "color": "firebrick",
          "dash": "dash",
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         },
         "mode": "lines",
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          },
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            "linecolor": "#A2B1C6",
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           },
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          },
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          },
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          },
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           "zerolinecolor": "#EBF0F8",
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        },
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        },
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         "domain": [
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        },
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"
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>value</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Median pendants (has equal sum)</th>\n",
       "      <td>110</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Median pendants (no equal sum)</th>\n",
       "      <td>21</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Mann-Whitney U</th>\n",
       "      <td>92551</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>p-value</th>\n",
       "      <td>5.51e-68</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                    value\n",
       "Median pendants (has equal sum)       110\n",
       "Median pendants (no equal sum)         21\n",
       "Mann-Whitney U                      92551\n",
       "p-value                          5.51e-68"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# ── Scatter: equal sum count vs. khipu size — log-log ─────────────────────────\n",
    "ds_only = profile_df[profile_df['num_equal_sums'] > 0].copy()\n",
    "x_vals  = ds_only['num_pendant_cords'].values.astype(float)\n",
    "y_vals  = ds_only['num_equal_sums'].values.astype(float)\n",
    "\n",
    "# Fit power law (OLS in log-log space)\n",
    "log_x = np.log10(x_vals)\n",
    "log_y = np.log10(np.maximum(y_vals, 0.5))   # clip to avoid log(0)\n",
    "m_log, b_log = np.polyfit(log_x, log_y, 1)\n",
    "x_fit = np.linspace(x_vals.min(), x_vals.max(), 300)\n",
    "y_fit = 10 ** (b_log + m_log * np.log10(x_fit))\n",
    "\n",
    "fig = px.scatter(\n",
    "    ds_only,\n",
    "    x='num_pendant_cords', y='num_equal_sums',\n",
    "    opacity=0.55,\n",
    "    color_discrete_sequence=['steelblue'],\n",
    "    title='Equal Sum count vs. khipu size (Equal Sum khipus only)',\n",
    "    labels={'num_pendant_cords': '# Pendant cords (log scale)',\n",
    "            'num_equal_sums':     '# Equal Sums (log scale)'},\n",
    "    log_x=True, log_y=True,\n",
    ")\n",
    "fig.add_trace(go.Scatter(\n",
    "    x=x_fit, y=y_fit,\n",
    "    mode='lines', name=f'Power law  (slope ≈ {m_log:.2f})',\n",
    "    line=dict(color='firebrick', dash='dash', width=2)))\n",
    "fig.update_layout(template='plotly_white', height=420,\n",
    "    font=dict(family=\"ETBookOT\"))\n",
    "fig.show()\n",
    "\n",
    "# ── Mann-Whitney: are Equal Sum khipus significantly larger? ───────────────────\n",
    "ds_sz    = profile_df.loc[profile_df['num_equal_sums'] >  0, 'num_pendant_cords']\n",
    "no_ds_sz = profile_df.loc[profile_df['num_equal_sums'] == 0, 'num_pendant_cords']\n",
    "u_stat, p_mw = stats.mannwhitneyu(ds_sz, no_ds_sz, alternative='greater')\n",
    "\n",
    "display(pd.DataFrame([{\n",
    "    'Median pendants (has equal sum)': int(ds_sz.median()),\n",
    "    'Median pendants (no equal sum)':  int(no_ds_sz.median()),\n",
    "    'Mann-Whitney U':             f'{u_stat:.0f}',\n",
    "    'p-value':                    f'{p_mw:.2e}',\n",
    "}]).T.rename(columns={0: 'value'}))\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "4d77a3e9",
   "metadata": {},
   "source": [
    "### Interpretation\n",
    "\n",
    "The pie chart confirms the corpus split: roughly one in four khipus carries at\n",
    "least one Equal Sum — a meaningful minority concentrated in the larger, more\n",
    "complex records.\n",
    "\n",
    "The log-log scatter makes the size-density relationship explicit: **among Equal Sum\n",
    "khipus, larger ones consistently accumulate more Equal Sums**. The power-law\n",
    "trendline (slope > 0) quantifies this — Equal Sum count scales with pendant cord\n",
    "count in log-log space, meaning each doubling of khipu size brings a predictable\n",
    "proportional increase in Equal Sums. This is structurally intuitive: more cords\n",
    "means more candidate positions where two independent summand runs can coincidentally\n",
    "flank the same cord with the right arithmetic.\n",
    "\n",
    "The Mann-Whitney test reinforces the picture from outside: Equal Sum khipus are\n",
    "significantly larger than non-Equal Sum ones (median 110 vs. 22 pendant cords — a\n",
    "**5× difference**, p ≈ 2.5 × 10⁻⁶⁷). Size is thus a **necessary structural\n",
    "precondition** — below a certain threshold there simply are not enough cords to\n",
    "host the convention — and within the set of khipus large enough to support it,\n",
    "size continues to predict density.\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "870bd889",
   "metadata": {},
   "source": [
    "## 3. How Improbable Are Equal Sums?\n",
    "\n",
    "For a cord at position $i$ with value $v_i$, an **Equal Sum** requires that\n",
    "two independent contiguous sums — over at least 2 cords each — both equal\n",
    "exactly $v_i$.\n",
    "\n",
    "**Analytical argument:**  If cord values were independent uniform integers in\n",
    "$[1, V]$, the probability that:\n",
    "\n",
    "- a contiguous run of $k$ cords sums to exactly $v_i$ is $\\approx 1/V$\n",
    "- a second independent run of $m$ cords also sums to exactly $v_i$ is $\\approx 1/V$\n",
    "\n",
    "These are (approximately) independent, so $P(\\text{Equal Sum at position } i) \\approx 1/V^2$.\n",
    "\n",
    "With mean cord values $\\bar{V} \\approx 69$ in the Equal Sum khipus,\n",
    "the expected count from purely random data is $\\lesssim 1$ under the uniform\n",
    "model (and $\\approx 6$ under the empirical Poisson null). We observe **2,075**.\n",
    "\n",
    "**Permutation test (empirical):** For a single khipu, shuffle its cord values\n",
    "randomly 1,000 times and count how many \"accidental\" dual PPS sums appear. The\n",
    "gap between the observed count and the permutation distribution is the evidence."
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  {
   "cell_type": "code",
   "execution_count": 33,
   "id": "6283a882",
   "metadata": {},
   "outputs": [
    {
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     "text": [
      "V̄  = 71.5  (mean Equal Sum cord value used as null-model parameter)\n",
      "λ  = Σ(N_k / V̄²) = 5.6691  (total expected accidental equal sums)\n",
      "Observed = 2,084\n",
      "Ratio  observed / λ = 368×\n",
      "p  = P(X ≥ 2084 | Poisson(λ=5.6691)) ≈ 0.00e+00\n"
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"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# ── Poisson null model — expected vs. observed per khipu ─────────────────────\n",
    "# For each Equal Sum khipu k:\n",
    "#   λ_k = n_pendant_cords_k / V̄²\n",
    "#   where V̄ = mean cord value (the harder to match a value, the lower 1/V̄²)\n",
    "# If equal sums were accidental, observed_k ~ Poisson(λ_k).\n",
    "# The scatter (X = λ_k, Y = observed_k, log-log) shows every khipu far above\n",
    "# the y = x line (the Poisson prediction), making the excess visible directly.\n",
    "from scipy.stats import poisson as _poi\n",
    "\n",
    "_sv     = equal_rel['sum_cord_value'].dropna().astype(float)\n",
    "_vbar   = float(_sv[_sv > 0].mean())\n",
    "_has_ds = equal_df[equal_df['num_equal_sums'] > 0][['kfg_name', 'num_pendant_cords', 'num_equal_sums']].copy()\n",
    "_has_ds['lambda_k'] = _has_ds['num_pendant_cords'] / (_vbar ** 2)\n",
    "_lam_total = float(_has_ds['lambda_k'].sum())\n",
    "_obs_total = int(_has_ds['num_equal_sums'].sum())\n",
    "\n",
    "print(f\"V̄  = {_vbar:.1f}  (mean Equal Sum cord value used as null-model parameter)\")\n",
    "print(f\"λ  = Σ(N_k / V̄²) = {_lam_total:.4f}  (total expected accidental equal sums)\")\n",
    "print(f\"Observed = {_obs_total:,}\")\n",
    "print(f\"Ratio  observed / λ = {_obs_total / _lam_total:,.0f}×\")\n",
    "print(f\"p  = P(X ≥ {_obs_total} | Poisson(λ={_lam_total:.4f})) ≈ {_poi.sf(_obs_total - 1, _lam_total):.2e}\")\n",
    "\n",
    "# Reference line: y = x  (Poisson prediction: observed = expected)\n",
    "_x_ref = np.logspace(\n",
    "    np.log10(_has_ds['lambda_k'].min() * 0.8),\n",
    "    np.log10(_has_ds['lambda_k'].max() * 1.2),\n",
    "    100,\n",
    ")\n",
    "\n",
    "fig_p = go.Figure()\n",
    "\n",
    "# Scatter: one dot per khipu\n",
    "fig_p.add_trace(go.Scatter(\n",
    "    x=_has_ds['lambda_k'],\n",
    "    y=_has_ds['num_equal_sums'],\n",
    "    mode='markers',\n",
    "    marker=dict(color='steelblue', size=7, opacity=0.7,\n",
    "                line=dict(width=0.5, color='white')),\n",
    "    hovertemplate='%{customdata}<br>λ: %{x:.4f}<br>observed: %{y}<extra></extra>',\n",
    "    customdata=_has_ds['kfg_name'].values,\n",
    "    name='khipu',\n",
    "))\n",
    "\n",
    "# y = x reference (Poisson null: observed = expected)\n",
    "fig_p.add_trace(go.Scatter(\n",
    "    x=_x_ref, y=_x_ref,\n",
    "    mode='lines',\n",
    "    line=dict(color='firebrick', dash='dash', width=1.5),\n",
    "    name='y = λ  (Poisson null)',\n",
    "))\n",
    "\n",
    "fig_p.update_layout(\n",
    "    title_text=(\n",
    "        'Observed vs. expected equal sums — Poisson null model<br>'\n",
    "        f'<sup>Each dot = one khipu; dashed line = chance prediction (λ = N/V̄²); '\n",
    "        f'all dots lie orders of magnitude above it<br>'\n",
    "        f'Total: λ = {_lam_total:.3f},  observed = {_obs_total:,},  '\n",
    "        f'ratio = {_obs_total / _lam_total:,.0f}×,  p ≈ {_poi.sf(_obs_total-1, _lam_total):.1e}</sup>'\n",
    "    ),\n",
    "    xaxis=dict(title='Expected accidental equal sums  λ_k  (log scale)', type='log'),\n",
    "    yaxis=dict(title='Observed equal sums  (log scale)', type='log'),\n",
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    "### Interpretation\n",
    "\n",
    "The observed number of Equal Sum relations greatly exceeds the expectation of a simple heuristic null model. \n",
    "Because that model does not preserve all features of the khipu data or the candidate-search procedure, treat this result as evidence of non-random structure rather than a definitive test of intentional design.\n",
    "\n",
    "The concrete example above confirms the arithmetic is **exact**, not approximate:\n",
    "both the left and right summand runs resolve to precisely the same integer as the\n",
    "sum cord. This rules out rounding or measurement noise as an explanation.\n",
    "\n",
    "**Bottom line:** Equal Sum relations recur in the corpus at a rate that exceeds the expectation of the simple null model and therefore warrant investigation as structured, non-random relationships."
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    "## 4. Color Structure: Banded vs. Seriated Khipus\n",
    "\n",
    "Two structural archetypes define how cord colors are organized within a khipu's cord groups:\n",
    "\n",
    "- **Banded** cord groups are monochromatic — all cords in the group share the same Ascher color.\n",
    "  These groups are associated with census and tribute records (values up to ~600).\n",
    "- **Seriated** cord groups are polychromatic — each group contains cords of several colors, with the\n",
    "  color pattern repeating across groups. They tend to carry higher values and encode aggregated accounts.\n",
    "\n",
    "Each Equal Sum cord in the corpus carries a `sum_cord_group_type` label (`seriated` or `banded`)\n",
    "indicating the structure of the cord group it belongs to.\n",
    "Do Equal Sums concentrate in one group type?\n"
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jasMv/5OAWKcFyJIrW6Y0GK5dgZWrg/orLRK0ybqIJPmj2KJeBSyc3FttJl9fHz15SU2HNXB2Cptdrkzp88eM7q4mJehUE9ogYbw48Pb21aY+/yddECSw+7FYns9XaktOaF/FS4AmN/9ps+qfXL2VP8JfqqtLFGeVVz/Q6XRqUq7aqglt8F2yhNoQ6kqymgg10Ol02hXAsup5xk06j9YCtP+OY6is8A/wR/RoUYMWp9E+oEiAe1r7el0WRnF2Rr1qHqos+UpYunxIkBU8MJd8+vTR20dNPn/5Wo2jRwt0jR83FiTJQn2f8QzaFVGZlyBLujrIdP5cmWSkkgSj8mgt+Qpb+jGrhaEGzk6fH1u52hoj+n/BeJaMqSDuJ88Fdo8IVUSo2f9ma1QsqWb0QdJm7eqtfNhQC7VBlE/HKmawff1UPK+2BpAuPXIVuGyp/KitBX41K5VCn4711VNRJGBTmYIN5IOBLHfSXiv+n75Z0X8zItlkuYxjBvuQIcHiw3+fyWLVaNoKFwAAEABJREFUfUMmsmRMLSOVghuoBaEG1coV14Lwt6jbdqh6FGCMT6+BUNnUbHjnpVirDNpA6iYf0uR4arOIpX2YkLGPb9ivIVkXVjLknJMAVval37984C5dIq/2AfqlumdAulXUqfoDalX+QbtCX0pd8d60aIQWiGcPa5dcRgEKUIACRhb4/K+zkXdgrOIk6Glap5zq0+r10Vu7yuWFN28/hChe/jCFWGDAjPRLlRuE5Ot+CaAM2CQoi9yIJkm/QALIAV0bqVl9v1M1ow38pZ+ANv6Wf07a192SwipDuiyEtVy/TK7uvvvgqZ8NGidOGA+hg7eI1tX7UxAu3TOCCg418Uvb2qrLhHw1XLfd0KCuJ6GyqVn/T11O1Iw2SK99fe/qGkWbCvxXpUzgY+u27DkMCf4qeBQKXBHGMKl2lTBzhlTa1dS/cFP7mn7Fxj/UlbeCebKEkfu/RfpnL3uGuoEqUfw4KlPwcy+iXjqdDrmzZ1D1UIWFNwgIuSJ3tvTah4XEWL/9L0iQHz2am7p6GjJXyDnpDiNLXF1c8PrNOzg5OUEC+0zpvlNdZTKmTaGegCJ5QifxGqNdCZauDaHXhTUvgaTsR9Y9evJcRl88zipDsIF8GzBpSHsV9Ep/4NCP94uoc7Ci1aS0XSZ0usAPbTJtaIrIOacvM6v2gVqm/T6dzxLwi7fYS5Lj8KWgXrZlogAFgglwkgLfIGCVAW/ApytKodv1Ubta17TLaMiVUAli9v7vZFB/2cC8If+QyZUdCfT0V28lj1+wsuWmmGrN+uPW3UdYOWsQ5I+R5DE0HTt1CfN/2xoiuzxgXxbI1/gyljrIWPrRylhS8DrIfFixcABCRTtaRnmqg1xJ0iY/+5c0cXwVQO3736kQ6+49eKw+HEiAJ90XJFDSZ5CbsuTGr6yZUqtFzk6Bp8O79/8Fxp/X9fN6yXGRAqK6uspIpQ+fAkUJXv38/HH91n10a10L0udZ6hH6A4Ha6NPg9Zv3n6agnlQgX68Hv1IoH35+LJobKzb8gdW//wn5FiBogzAmpIuCdLnoNGAabt17iKXT+oYIFMM633Jny6hKCl3Pc59+JSx50gSqa4hk+tKxlfVhpQtXbkN/roS1XpZ9+PSDJz6fnjyg0+lUtxfpajF53lpUKVNEsn0x3fz06Dx5vRTIlRkHjpyFXBXXb+Tr56eZPNLPBo0PHjuPKk37qz7Pq34dHLRcPyHHVT+tH3t99NGuzrup2czpU6mx/kq5mvk0COt8l1VyLsqxXDdvqMyq/scy4ez09fPSP9jrWraRpH8NyrQkb5/Aq/3yLY/Mh5dCn7uSL6LnnGxz7dY/qptHGu2bKdl++96jsjgovXr9TvWfD1rACQpQgAIUMJlA4F8SkxUfuYIffvo1NXmCgPxBliRB2LJ1u6EPrormz6auBMlNMn5aQCVPATh+5nKIHeqvbi1cuV1dEZu5aKO68eefB09wXgs4Tp27rsqoVbkUnr14hfuPnqk/QNL/0FcLBOQPkhQY3iOrEiWIC7lJTb4ulnyS9v3vtIxQRKufTMSNHVN9fS03D0kdpS+r9J+UdRIMSPD3WrvyJvNv3v4X6L3+FPS9ex94Fdtfu0okX6X7afWSvKGTTqeD3GAjX52u3bpfXVmT8nuPnAsJmKqXC7wBbMLs1Wpetv/r6BkZaVdeK6mx3OQkE2IqV/c27z6EZev2yCL1FbWnlzf09dKPZaX0D5Wxk/b1t4xTJEuoWT6FBIujpy9Xd87LzYeyvdxQJ3niaC4yDp0CtHbKVWB9mX9pAdoHTy/Ur/5TiKzytbz0z5Ur3imTJ9Kv+2ws7WjadQwGdmuMzUtGYdrwzuoHTIJnfPbyjZoNfrVezi/pGzpDO2fkZi/JIE+5kGCzc4sakG8TDDm2sp2ki1dvq77GMi2PKHv7zhPSDUbmQyfZryzbql3B3rL7MOYs3SyzKlX4dDVbnl5QqkhutSz0YK/2oUeCPTmHN2vHUG5GTJQgDuTmN7GUG+au3vwHcgVVpuVGydBl7DsU+MGpRsUSOH72ilr98PEzdR7IzOtP5+zbT4/Sk/3d0z5cuX66El8g9/eSDbOXbYYE2LIPuYFPFv7v73PqBkyZDp5mLd4EOfYSnEt3o3hxY6nVhpyXckOhZA5+DKWOco5I3WTdsxeB3Vr8tPcLmQ8rhXXu6vN97ZwTW3nvkPzyzdE+7Tj0bF9XZlGuVAHIuTNGu2Iu72tyDsjTYV5qQa/KwAEFKEABCphUwKoCXgkef6zVDZt2/k81etS05cjp0UKlghXbQR61JH06ZaXclCP9KeUPiDx+69clmyA3m8g6fSqcNyvkD6c8eaHFL+OQLEkCNS9/+P46cgY5sqRVV0Xrtx8OCQzla0a5yiQ3V23/4xg6D5yuiho2eSm2hbo6IyuSaVdVZVyr9RDII6vkkVHTFqyH3BAl3RtknaS2jatCAlHZz8qNe9GoVhlZjF37j0OCYHlEmSxYsnaXegyWBObSLlkmAYnkadx5lLpSK/105RFJ+r6Skkef+ndpCPlaeMiExchVuiWk3uMHtoX0Pc2RJR3kbnm5wlujxUD0Gj4bI6YsUzc26a80SuAoNwju2v836rYbjhu3H6gbx6T89VsP4MqNu2jWbYzMYtaS3yF31Y+cukx1F5CF9TuMUHWUJ2fEixMT8nQFCXIL58sqqyFfjctd8xI4ZP8+jVoWehBN+5pellVrNgDyiC0J0Ff9OujzY6uVKfuoVjawe4NsE1aKHSsG5Oqa/BBGTu1cylqqqXrklTzOTj5sTF+4AfJECNlW+o5u33tMJtWNfnKzU7LECVCj5UD0GTUXtVsPRjvtWDavV0HlkcGXjq0+CJN80l2mXP1e6hFd42auxIpZA8LtSiDHSm7ck0eBSXebJp9uqpNyJMiWPu1ltQBKbmaTZaGTnIMetbvj5+YDkSNzOnRq8bPKIlfF+3dppAKvn7VzoH77EfAolgdy457KEGxQvEBg31J5XJ50G5H+qdI3XYJaCaKHTlqicncdPEM9nUFeA+IpV4bl/JMr8iN6t1D7KlK5A7oMmq6eLCEbydVt7zB+QEY+BLXrPQldB81QV4qrlS0m2bWrzInUjavhnZfylATZRjIPHr8Qcgzl3NmnbvDzUuehBJvySDrJM1v7ANGuz2SZ/CxV+LGQ+oAa+tyVjHIef+2ckyBWukfJuT6oexPo7zPo1qa2asMy7UN7+Qa90G/0PPUhLKLfKkk9mChgmABzUYACwQWcgs9YerpxrbLYtmwsTu6aq9Kp3fMg6bQ21ie5Qif1lJtDRvdtha1LR2P/+inqznd9MCzrJclVrdVzBqtHYe1bO1k9XmjBpF74a+M0dGhWXd1tLtPbl4/FqtmDIOskn9zIVvGnQjj0+3Qc3zFHlV+2VH4pMkSSG8CkflLfutU80K9zAxzePBPS1zh4xgY//4Rj237VypqNKcM64ufyJdS03OQmNxVJm6V9UlZHrV5tGlfBmT3zIcvWzx+O7N+nhQRfsl6Wyx3gST8F28H3I109xEce/XVgw1TIV8P6q4WSr2ThnJC2zhnfA7KPPzW3slrgJOv0SZ4KISZHts5UT57o2qomzvyxQD0tIlfW9Ni9aiJO7JyrDKuWK4reHeur9VLXJVP6qA8QcvPSrpXjlfsILeiB9t+KWQMxe2x3TBneCYO1QEBbFOY/+dEOqb/YyFMkti0bg+yZ036WV3+F9acS+T5bF3yBfAiq6FFYPfliwqB2kPqUKZkf+7Qr8RIYyqO9pO7iumHBcMiTEfTbyweA5TP6Y5t2fjTRzk1pe8fm1RH8hqkvHdtM6b7TF4Wy2vkjrmIg56T03wxaGWpCzu1FU3pDDDcuHAG5+Sp4ltgxY0CC3uDLgk/LY9QWT+mL9Vp7pL5ipV9fv7oHDm6ars4NOUf0TwPRr9eP5eZHybdn1QRMGtIBMj6ydRZqVSoFucos54CkbdrrNWeW9FipfSiR80Qs+3dtpIqRX0aU16a0YbdWTvfWtdR5I0+uyKl9AFOZgg26tKyhvZ7HoH+XhuoG0DixYwSt/dJ5WaVsEfV+Icdwz+qJKFMqH+SJGzIv9Zk1phvkA4S8lmReXteTh3YIKjv4RFjnrn69OMoHjvDOOflQcHzHbPyqnefbtPNW/yQL2V7OmbED2mDninH4fdFI7Zwag7AMJC8TBShAAQoYX8CqAl75o+Du5qr66ErwJn/4Jbm6ukCf9H1ihUKn00GCXAk8ZT68JIGvfp3cJKLT/dfXV/Ynf+Tkj5nsK3HCuCqr7Ef2KT9vLDcHyXq1ItRAtpG6yhVL+aMa/OkFwbPKfuUPoiyTsvXT0g1A6iD7krJkLPuSfoYyLev0eWS9LJdlOt1/bZAygydprwR6wZcFn5YbueSJDbKf4Mv10/G1r5L166RtclxknU6ng+xbnySPJFkvdZUk+SRJ+6QeMi0pScJ46ipteFclJY8knU6n+teKpwTrOl3Y7ZQfRfgueaKgJy3ItmEl+ZEGuUoqj8+Sx7VJECbdG+SreskvnlJvGQdvq6zTJ6lz5gypVNv1y4KPwzu2wfMAOlXXLx0XBPtPXKX9wRapyXfvPfHHwROQLhdqQRgDOU8kWJfjEsZqdQVT2iPndljr9cvkaqZ8KyLzEnyKg0xL3fTngIzl/JR9SVKWn54WIXnltZkxbQrVBUSM5dyS5WElsZHXj2wT1nrZVvYt64IfK1mm5l2iqPcOmZd9SZL6yDp5zUldZV6SLEM4/4U+d/XZDDnnZNvk2jdJOt3n561Op8N3yRIhfZrkykNfLscUoAAFKGB6ASfT78J8e5CbuiSZb4/ckyUELl+/iyETFkEenfW1/T9++kJlkR8GkL7Mkg4eO4dtfxxRV/zVShMPpN+5fxg3VUV0t9IVR54BXP6HguqHJUJv7/vp5rbQNxqGzsf5iAt87ZyT80r68Ea8ZG5hJQKsBgUoYOcCdhHwSj9R+SWui9fu4Na9R+oGNTs/bg7bPOmDLH2lBUDfP1Kmw0vy62u5s2VA296TkOunFurnZ+cs26K+ptf3XQ5v229dLjdLyXkpNxtKwHT15j/qqRORKdffPwDVmw9Q/b6lG0XoMuTKr/ysriz/89BpvP5006PMM32bwNfOOXnay/krt9RO5MOUvB+pGQ4oQAEKUMBqBOwi4JU/8HOXb0GurBnUTSJztGmjC7NAqxBIoX0lLH2spU+zfHX9tUrJ1+TLpvdT/WGlT7P0RZV+uflzBT5F4Gvbf8v6R4+fQ26YLFUkl3rk3YyFG3D5+r1IFSndBob2aAbpn6vvZhC8oJWb9kKeMiI3pl26fkc9HSH4ek5HXuBr59y4matUNxGxlxsgd/55LPI745YUoAAFKGASAbsIeCt4FFRX7CYNaa+N20NufDKJFgu1uID0E5UbrfR9rQ2pkE6nUzcoSr9V6YtqyDbGyCOBqfyc8MxRXdVPJcvPJWcP5+kUhuxPbiTTPzM5dMuEZNsAABAASURBVH75OVvZl+xDblzs3aFe6Cycj6TA1845ed8Jfoyln3gkd2Uzm7GiFKAABWxNwC4CXltDZ30pQAEKUIACFKAABcwnYKKA13wN4J4oQAEKUIACFKAABSjwJQEGvF/S4ToKUIAC3yrA7SlAAQpQwOICDHgtfghYAQpQgAIUoAAFKGD/ApZsIQNeS+pz3xSgAAUoQAEKUIACJhdgwGtyYu6AAhQwXIA5KUABClCAAsYXYMBrfFOWSAEKUIACFKAABb5NgFsbVYABr1E5WRgFKEABClCAAhSggLUJMOC1tiPC+lDAcAHmpAAFKEABClDAAAEGvAYgMQsFKEABClCAAtYswLpR4MsCDHi/7MO1FKAABShAAQpQgAI2LsCA18YPIKtvuABzUoACFKAABSjgmAIMeB3zuLPVFKAABSjguAJsOQUcToABr8MdcjaYAhSgAAUoQAEKOJYAA17HOt6Gt5Y5KUABClCAAhSggJ0IMOC1kwPJZlCAAhSggGkEWCoFKGD7Agx4bf8YsgUUoAAFKEABClCAAl8QYMD7BRzDVzEnBShAAQpQgAIUoIC1CjDgtdYjw3pRgAIUsEUB1pkCFKCAFQow4LXCg8IqUYACFKAABShAAQoYT8ASAa/xas+SKEABClCAAhSgAAUo8BUBBrxfAeJqClCAAqYTYMkUoAAFKGAOAQa85lDmPihAAQpQgAIUoAAFwhcw8RoGvCYGZvEUoAAFKEABClCAApYVYMBrWX/unQIUMFyAOSlAAQpQgAKREmDAGyk2bkQBClCAAhSgAAUsJcD9RlSAAW9ExZifAhSgAAUoQAEKUMCmBBjw2tThYmUpYLgAc1KAAhSgAAUoECjAgDfQgUMKUIACFKAABexTgK2iABjw8iSgAAUoQAEKUIACFLBrAQa8dn142TiDBZiRAhSgAAUoQAG7FWDAa7eHlg2jAAUoQAEKRFyAW1DAHgUY8NrjUWWbKEABClCAAhSgAAWCBBjwBlFwwnAB5qQABShAAQpQgAK2I8CA13aOFWtKAQpQgALWJsD6UIACNiHAgNcmDhMrSQEKUIACFKAABSgQWQEGvJGVM3w75qQABShAAQpQgAIUsKAAA14L4nPXFKAABRxLgK2lAAUoYBkBBryWcedeKUABClCAAhSgAAXMJGB1Aa+Z2s3dUIACFKAABShAAQo4iAADXgc50GwmBShgcwKsMAUoQAEKGEmAAa+RIFkMBShAAQpQgAIUoIApBL69TAa8327IEihAAQpQgAIUoAAFrFiAAa8VHxxWjQIUMFyAOSlAAQpQgALhCTDgDU+GyylAAQpQgAIUoIDtCbDGYQgw4A0DhYsoQAEKUIACFKAABexHgAGv/RxLtoQChgswJwUoQAEKUMCBBBjwOtDBZlMpQAEKUIACFAgpwDnHEGDA6xjHma2kAAUoQAEKUIACDivAgNdhDz0bbrgAc1KAAhSgAAUoYMsCDHht+eix7hSgAAUoQAFzCnBfFLBRAQa8NnrgWG0KUIACFKAABShAAcMEGPAa5sRchgswJwUoQAEKUIACJhR4/fY9Nu8+hI07DuLspZvw9PI24d7so2gGvPZxHNkKClCAAhSwOgFWiALGF7h26z6KVO6AqK4uqvCWv4zH+cu31DQH4Qsw4A3fhmsoQAEKUIACFKCAVQms23oAebJnRNlSBVC9fHH069wAT1+8gqn/O6ddSX733tPUuzFZ+Qx4TUZrWMEG57p/ADgylIkGPAeMcQ4Y/MJjRgpQgALWJeDs7IRT56/h/JXbqmIS9JbTgl81ow3+ffoC/v4B2hTg4+uHW/ceISAgcF4Wvnn3QUYRSr5+fhg5dTk+eH40aDsfH19cvfmPQXnNlYkBr7mkv3U//+wHDg9hogHPAWOcA9/6euT2phBgmRSggAEC9ar9iGjubqjbdqjqwyubSBAs45Y9xsOjVnf88/AJLl+/i6pN+6Fy4754/vINDh2/gLL1eqLzgGmYv2IbqjTpp+alD/Coab+heLVOGDppCT56+0hRIdJobf2Fq7dRsVEfVGjYWwXc9doPV2Vs33sMl67dQaNOo1Cz1WAcOXEJNVoOwpR56zBj4UaVv9fw2UHB8rMXrzFw3EL0GTUXddoMhVw5DrEzE80w4DURLIulAAUoQAEKUIACxhZImTwxNi0agdzZMmDA2AXoMezXoJvWhvZopnbn7++PzBlSYerwTmpeBoXzZkWJQjlw78FjFM2fDesXDJfFmDx3LVrUq4DfZg7Ams1/4vSF62p58EGbRlXU7IYFw7BlyWjVpaJp7bK4efchihfMjiwZUyND2hQY3L0JvkueELFjxcAtbV3OrOnQpWVN/Hn4DCbMXq3KkPrGjxsLjWqUQfKkCdGh3xS8jcRVZ1VYBAa2FfBGoGHMSgFzCLz1joKbb2Li8qvYGHQqJ/58mNgcu+U+KEABClDAgQWSJ0mAJVP7omurmtix7xjGzlihNNyiuqqxfhBduxKsn3Zy0iFunFjIqAWmEgy7RHFW0wVyZ0bihHEhgbRcOQ6rn67+CrKLSxTopz2K51XbbdlzBF4fvfH02Utkz5wWKbQgNoc2zp09gxYM50DZUvlRv7oH9hw4jifPXuH4mStIkzIp7t5/DI/iedCvc0N9FU06ZsBrUl4Wbu8CMV19cfRpAtx4EwNDc5+Fi3OAvTeZ7bMSAVaDAhRwTIFjpy+rhkvg2apBJVQrVwzb9h5Vy/QDucKrn47o2Mnp89BQ3wdY+ubqy4vi7IwmtcthyZqdWjB7AqVL5tOv+mycMd13iBkjGnx8fdW6lMkToYJHQVT0KITyPxZU69QKEw4+b5UJd8aiKWCPAj8le4RjTxNi5NnseKNd8bXHNrJNFKAABShgHQK/bdijnr2rr01U7apuiqQJ1Gz0aG5qfOXmP/D29sGBo2fVvEzLxLt3H+Dr5y+TKkl/XT8/PzXtpy3/4OkFufKrFgQb6K8c3/nnMSTgfvo88KkQEmzff/QU42atxE/aFd9gm+DV67dBN88d+vs8fq5QAnJlOoV2BXju8q2Qm+t8tX3PWvK7lvdd8E0jOm1Qfga8BjExEwXCF0js7oWG6W6hSfqbKJHkCZ56Rg0/M9dQgAIUoAAFvkEgVfIkkGfvyg1m0h92/+HT0PfdlcBUug/ITWLVmg/AqzeBgeTwKcuwfd8xrN16AEdOXMSStbsw77et6kY2+fGKE2evov/Y+apWcqPZ/sNn1LR+ECO6u7oa27b3RKzXyogfN7ZaFTtmdNVdoVSR3OpGOrXw0+DgsfOo3WaIupktbuyYaFqnnFozeWgHyP7k5roG7Ucg+/dpECd2DLXOlAMGvKbUZdkOIeDp64wrr2Njze1UGHMuK/b/m8Qh2m1TjWRlKUABCtiJQOeWNXB06yw0rlkG0qVhx2/jkCNLuqDW9e/SCIe3zMT25WPRrnFVnNg5F7+O6YYyJfPh8OYZOLNnPupX80CzuuVx5o8F2KltLzfASdAs65bP6I9iBbMHlaefGNO/DQ5smIpxA9vCyUmnX6z6BVcvXyxoXj8h3RVmj+2O+RN7omf7upAuELJObnA7uGkapN6r5wxW/XxluakTA15TC7N8uxdwj+IHLz9nvPZxRa54L+EX8N8bgd03ng2kAAUoQAGzCkiXA+m/Kzd+ZUr3XdAvrgWvhFx51c+7uwXeyCYBp9x0pk9qPoozXF1d1I1o8sttwdch1H8S5CaIF3hlV7/qg+dHHD5+QT0xQr9MxtLn18nZCZJfypVlwZNciZZ+vMGXmXqaAa+phVm+QwjUTXsHw/KcRc009yDTDtFoNpICFKAABRxWQH5YonrzAeqmM50u5IWet+898frNe6uyYcBrVYeDlaGANQiwDhSgAAUoQIEvC8gTF+RGtVqVSobIuGjVDhw6fh5Xb95Dp/5T4ef3301yITKaeYYBr5nBuTsKUIACFKAABWxEgNUMVyBbpjSqb650iQieSfoG71s7GZKmj+yiuksEX2+paQa8lpKP4H4fZm2PE7UvMtGA54ARzoEIvvyYnQIUoAAFbFyAAa+NHMDNFw6gxephTNZnwGNig8fERl72rCYFKEABChhJgAGvkSBZDAUoQAEKUMCxBdh6ClivAANe6z02rBkFKEABClCAAhSIvIDnM+DlNcPTu0eR35eVb8mA18oPkL1Vj+2hAAUoQAEKUMBMAi+vA+vKAatKGpYenzRTxcy/Gwa85jfnHilAAQpQgAIUoIDpBQL8gQ+PtfSvYSnA16h18vHxxZt3H1QK6/FkT569gre3j1H3GV5hDHjDk+FyClCAAhSgAAUoQAGDBCbOXoOspZqiXvvhuHn3IbbtPYqqzfqjYsPe+H3n/9Cw00hMW7BelfX67Xs07ToG67buR8f+U9F/zHy13JQDhwp4X7x6i3fvPUN4Xr35D05fuA6vj95By6/cuIeDx87h/QevoGXyKeXkuWs4fuYK/P0DgpbLz+eZLAUEQF920A45QQEKGEVA/9oy5djf3z/oNWzK/bDs/94raUELWzoHjPJmZiWFdGlVQ9WkVf2KSJcqGSp6FEKVMkWRLHECNKpZBpMGt8ecZVtw5MRF7Nx3DLFiRkP7ptUwdXhneHr9F4OpQkwwcJiA9/rt+6jatB/OX74VxCjB7pCJizFy6nI8evxcLZ8ybx0mzF4NCW7b9JqIew8eqwC3efdx2KR9Qtm8+zC6D5kZdHCev/GGOZKqHAcUoIBRBD589DPL6/btB1+z7Mcc70GW3gf3b56/NXQ2r7NR3tCspJAozs6qJi4uUdRYBsGnEyeMJ4tw484DeHn7aIHvJTx++hLubq4Y1belWmfKgUMEvNJ/ZM+BE9BjC+jrN+/RbfAMDPmlKdbNG4o0KZOqIHbz7kOYM/YXdG1VEzUqlsCKjXtx5uINJIwfB8N7NVfJTTs48rN5Uk6C2FFhjiT7YqIABYwjEC2qs1let7FjuJplP+Z4D+I+zPNeT2fHcjbOO5ptlHLx2h1V0cwZUqGqduU3YfzYqNlqkBb4XoRbVFe1zpQDOwp4w2eKFSPwsnmCeLGCMslP4RUrkAM/txiIU+evqeVy9Td96uRBP4OXIW0KXLx6B0dPXULWTKlVHhnIwbp2675MMlGAAhSgAAUoQAEKhCNw694jyLfnG7b/hWnDOyNfzkyIEzuGuthY7ocCaNljPGYv3RzO1sZb7BABr57LP1jfW7mE3q9zA0jqMnA6fP38kCnddzh94UZQf17p1uBRLA+yZkyN42cu64vB36cvo3iB7EHznKAABShgVQKsDAUoQAErEUirfYMu35oP7t4EHsXzqFpJzBXN3Q39uzTCmH6tMX3hBty4/UCtM9XAYQLeeb9txaHjF7Bo9Q5I3109aL1qP6nJf5+8QOxY0TGoW2NUbdofHfpNwZbdh1G5TBEULZANKZMnQZ02Q1WKrh2k7JnTqu04oAAFKEABClCAAo4uoL+o6OfnH4LCzz9lohi3AAAQAElEQVTkvKyUK77Sf1emS5fMJyPIN+9qwsgDfXEOE/A2rlUWp3bPw7QRnSHdFvQAb99/QKoUSZAkUWBnaglwNy0aicHdA/v2xo8bC9IRW64Ezx3fA5LGDWyr35xjClCAAhSgAAUo4PACE35dpQzmLN8CeVCAPI1BHkd2+fpdDJu8FPLMXZVBGyROEBfNuo2BXIzsN3o+WjWopF1YTKStMd0/hwl4o7q6QJJ0jHZ2dsJc7YDIM+Ck38jkoR1UUKtnlu4OiRLE0c8GjeUKsKSgBZygAAXsQIBNoAAFKECBbxXo1roWzu5dgKVT+yJtymTIn/t7rJk7RF1s7NG2DoLHVfWqe2DzklH4qXhejOzTEtLlASb+z2EC3tCOTWqXw5xxv6B3h3rqCQyh13OeAhSgAAUoQAEK2LSAawyg+Eig1ETDknvCSDdXHkEm34jLWC4syrRcZJSLjdHco4YoV9ZJkidkyUXGECtNNOOwAa8cAEkmcmWxFKAABShAAQpQwLICCXMCeboCebsblpIXtWx9Tbh3hw14TWjKoilgzwJsGwUoQAEKUMDmBBjw2twhY4UpQAEKUIACFLC8AGtgSwIMeG3paLGuFKAABShAAQpQgAIRFmDAG2EybkABwwWYkwIUoAAFKEABywsw4LX8MWANKEABClCAAvYuwPZRwKICDHgtys+dU4ACFKAABShAAdMIvPJ8gzsvHxmcnr57YZqKWEGpDHit4CCwCp8EOKIABShAAQpQwGgCd1/+i3ZrR6H5yiEGpcuPbxtt39ZWEANeazsirA8FKEABCji8AAEoYAyBgIAAvPjwGs8NTL4B/sbYLfz9A/D46Uu8/+AVojypj9dHb7x++x7v3nuGWKefefLsFby9ffSzRhsz4DUaJQuiAAUoQAEKUIACjivw8vVb9B8zHz2G/Yrfd/0PXQZNR8OOI7Fl92FIsPvr0s0oXq0zug2agRUb/0CVJv2w568TCkyC4KZdx2Dd1v3o2H+qKketMNKAAa+RIM1fDPdIAQpQgAIUoAAFrEPgg+dH1G07DOlSJ8OkIe3RumFlzJ/QE4XzZsG5yzeh0+nQvklVZM2UGjmypFPr2zSugq5a8Pv23Qfs3HcMsWJGQ/um1TB1eGd4enkbtWEMeI3KycIoQAEKUMDsAtwhBShgcYGla3epOjSuVVaN9YNmdSsgX85M+lm4ukQJmk6ZLJGa/ufhE3h5++DIiUuqK4S7mytG9W2p1hlrwIDXWJIshwIUoAAFKEABCjiowIlzV5E7ewZEcXYOIRDNPSrKlioQYpl+5uT5a4jm7oYUWuBbtUxRJIwfGzVbDdIC34twi+qqz2aUsVUFvK9evzNKo8IohIsoQAEKUIACFKAABUwk8OTpSzg7GRZWHjt9GWNmrFBXcxdP6YNYMaIhTuwYWDdvKMr9UAAte4zH7KWbjVpTJ6OWFoHC5A6+7kNmYuGq7epuPenUXLRqR3TqP1V1bI5AUcxKAQpQgAIGCzAjBShAAeMLFC2QHSfOXoWvn99nhX/wDPm0hoK5M6NPx/ro3aGe6tMrG8h2crW3f5dGGNOvNaYv3IAbtx/IKqMkiwW8T56/hI+PLxrVLIuB4xbg4eNn2LhwBL7TLmtLXw6jtI6FUMDCAmnjJ8f4yl3RrkhNC9eEu6cABShAAQqYTqB6+eJ48eot5i7fGmIn8pix0dNXhFjm7//548+mzFunrvhKxtIl88kIrq4uamyMQZgBrzEK/loZieLHhSB06DsZew+ewpShHSF35125ce9rm3I9BWxCIIqTMxbXG4r5RzeiarZS6FC0tk3Um5WkAAUoQAEKRFQgY9oUWD1nsOp/27b3RCxYuV09nqxGy4Gqm4KUt3LTXpy+cAMbdxzEpDlrZFFQSpwgLpp1G4N5v21Fv9Hz0apBJaRMHnhTW1Cmb5iwWMDr5KTDlGEdIZfANy0aoR5RcfbiTZT7sSBix4zxDU3iphQwvUCmhKnQMG8FpIqbNMTO6ucph7KZCqtlP6TPD1dnF1x9ehcHb51GvpRZ1HIObEqAlaUABShAAQMF0qZMimXT+2nxXScUL5hDdVs4uGk6iubPpkqoWbEk/vf7dOxZPRHtmlRTy/SDetU9sHnJKPxUPC9G9mmJrq2M+82oxQJeaWDsWDHw6PFz6G9We/biNX4okguxY0WX1UwUsEqBRDHiYU7tAehYrA7q5C4TVMfBZVurZQNKt4S7S1ScfnAFbi6uWN5gBHIlz4g1p3cH5eUEBShAAQpQwNQC7q5u6FS8Ln4p1cigFM8t1heqZPgqecKCXPFNEC92iI1cXKIgqquLegKDPHos+Ep5uoOkNFrQHHpd8HyRnbZowNt10HQsW7db9fmQBkhUP3DcAplkooDVCqxqPBr/u30ahaY2wbh9S1Q9q2UrhUpZiuPnRT1QfEYLePp8xLP3r7D90iFkT5oeSWMlUFd5VWYOKEABClCAAmYQ0H8b2ThfRRiScqXIZIZaWWYXFgt45beU/QMC1K9w6JueMH4cXLt1H7xpTS/CsTUKHL1zHpWzlMDkqr8EVe/Wiwfw8vHGtlbTIDeqyYqfMhRA3u8yo87SPojiFAXTa/SWxXad2DgKUIACFKCANQo4WapScrlbf6lb+vNKPfb8dQKPn76Et7ePzDJRwCoF+m2fgcE7Z+PHDPlRPG1uVcdzD6/D49e26qruzBp91LKiaXLh6buXuPLkDpae2Ir40UJ+taMycUABClCAAvYowDZZmYDFAl5xKFEwJ+Thwis37kX15gMgz+X1KJ4HaVMlk9VMFLBagU0X9uPhm6cokS5PUB29/XwwbNdcSB9fWbhEC3Llpja5Elw6YyFM+2ulLGaiAAUoQAEKUMDMAhYNeCt4FMTmxSNRqkguFM6bFZOGtMfkIR2h0+nMzMDdUSBiAjro4BbFFdsv/S/EhukTpsT1Z4GP1rvz4qHqzzvr8FrVt/eP63+HyAvOUYACFKAABShgFgGLBrz7Dp2Gk5MTGtcqi14d6sHb2xcfvb3N0nDuhAKREaibuyxOdv8NcuPajP+twekHV1Ux+zvMw47W01EqXV40/m2QWqYfXH96DwHa//p5jilAAQpQIKQA5yhgagGLBbw+Pr7o1H8qPL0+BrUxZ9Z06DNqbtA8JyhgbQJrzuxG+bkd1Y1o68/tDape7SW9UHFeZzRbNQTStSFoBScoQAEKUIACFhJ4/cEb95+/Nzi9eOdloZqafrcWC3g/evuorgxZMqYOamXK5Inx4uVb9WzeoIWcoIASsI6BPFnkybuXn1VGlsm6z1ZwAQUoQAEKUMBCAg9evEe/346ix5IjBqXrD99YqKam363FAt4Y0d3h7OyE+4+eBrXy3KWbOH3hOnx8fYOWcYICFKAABShAgWACnKSAgQIBAcCr9954+f6jQclPNjCw7NDZ/P0D8MHzI16/fa99ex+ye+qX1kk5Adp+Hz15Ackn86ZIFgt4pTHtGldF9eYDUa/9cNRsNViNSxTKie+SJZLVTBSgAAUoQAEKUIACVi4gj5QdPX058pdvg6nz12PagvVafDcAt+49Uo+bDW+dNOusdrGzRfdx+H3n/1CtWX9s3HFQFhs9WTTgzZwhFbYuHY3q5Ysjd7b0GNG7BaYN7wSdTmf0hjpYgWwuBShAAQpQgAIUMItA4oRx0btjfbUvj2J50LtDPeTMkh79x8zHl9bJBkvW7IJH8bxo27gKxg9qB7nSK8uNnSwa8EpjBKL8DwXQvU0dVCtXDPNWbAv6qWFZz0QBClCAAhSIvAC3pAAFzCEQxdk5xG5Sf5cE0lVVFn5p3Udvb+z882/4+PohU7rv0LxuednE6MmiAe/kuWu1y99tUahSe+Qr1xrZfmiGmYs2wt/f3+gNZYEUoAAFKEABClCAAuYROHb6MvLn+j7MnQVf17phZZw6fw0NO4zAvQdPIL/EG+ZG37jQYgGvPJZsvnY1t492CXz9/GFYM2cIFk/pg9zZMnxjkyK+ObegAAUoQAEKUIACFPh2AemLO3jCIuTIkhbjBrQNUWBY63JmSYedK8YhejQ3lG/QCwePnQ+xjbFmLBbwurhEQcHcmVGpdGF8nz4lsmZKrT4J/NK2NmLHjG6s9rEcClCAAhQwXIA5KUABCnyTQOUyRTG0RzPIgwkSJYgToqyw1vn6+amHFcyf2Au1q/yA7kNmws/P+N/0Wyzglb4axQpmV10Yzl++BUlyp96cZZvx8vW7EECcoQAFKEABClCAAhSwBYGAL1Ty83X9Rs2Drxb0OjnpUNGjEGLGcP/C9pFfFfGAN/L7CrHl46cvMHH2GixYuR112w1TqX774epStjyPLURmzlCAAhSgAAUoQAEKWKWAdFMdOXWZqtuMhRtDPFrsS+tkA/nF3dY9JkC6uc5dvgW9O9RXv9Mg64yZLBbwpkiaED8WzY2/t8/G2b0LVDq8ZSbkSQ3ygxTGbCTLogAFKGAKAZZJAQpQgAKAdFP9pW0dnNo9D4un9kWlnwoHsXxpnWSaPKwjZo7uhh+L5cGvY7qjbKn8stjoycnoJUagwOkju6hOyvK4CknSYTltymRIEC92BEphVgpQgAIUoAAFKECB0ALuLs5o+mMmtC6d2aAU290ldBGGzqunK0R1dYG7m6sKgINvKE9eCG9dFGdntU3alElNcmVXXw+LBrw37zxQ3RrGzFgBSWO18exlm/Hg32f6+nFMAQpQgAIUoAAFKBAJgbRJYuHngmlRo5BhKWvKeJHYi21sYrGAVzoodxowDX+fvow7/zzC7gPH8c/DJ0iRNAESJYhrG3qsJQUoYLgAc1KAAhSgAAUsJGCxgNfb2wfJkiTA6jmDVZ+NTOlSYvrIrogfLzZev+FTGix0PnC3FKAABShAAQqYWIDFm1/AYgFvNHc3ZEyTAsMmL4VOp8MPRXOjVY/xOHvxJj54eplfgnukAAUoQAEKUIACFLBLAYsFvKLZrXUtZEiTHPIYsqpli6JYgeyQX15LmTyxrGaigAMLsOkUoAAFKEABChhLwKIB7+I1O1Gvmoe6wit376X5LiliRHczVttYDgUoQAEKUIACti7A+lPACAIWDXjnLt8aognSrWHmok14/eZ9iOWcoQAFKEABClCAAhSgQGQFLBLwnjx3DZ36T1V9dTsPnIaug2agQ78pqNS4Dx49eWHS57BFForbWbUAK0cBClCAAhSgAAXCFbBIwJs3R0Y0qFEacuNalgyp8X36lMj+fVrUrfoj1swZjBjR3cOtMFdQgAIUoAAFKBCeAJdTgAJhCVgk4JWKFMqTBduWjUHbxlVUkr68yZMkRJzYMWQ1EwUoQAEKUIACFKAABYwiYLGAV57DW7FRH8z7bStu3n2IIlU6YMjERWjSeTR8fP2M0jgWErYAl1KAAhSgAAUoQAFHErBYwPvqzXuUKZkPdar+qPrz5smeEX+smYQqZYvi3v1/HekYsK0UoAAFKGAZAe6VAhRwEAGLHLm9gAAAEABJREFUBbyJEsTB85ev4VGrO7w+emPSkPb4+/RlrNj4B3ROFquWgxx2NpMCFKAABShAAQo4joBFI8vpI7pg0ZTe2LViPBLGj4MUSRNiwqB2amw1h4AVoQAFKEABClCAAhSwaQGLBrzQ6SA/OHH01CUcOXERr968w/L1f+C1NrZpVVaeAhSggB0KsEkUoAAFbFXAyZIVb95tLKo1G4C2vSehZY/xaNhxJHbt/1uLg3WWrBb3TQEKUIACFKAABShgRwJGDngNl/Hx8cWp89ewdeloXNy/WKUzfyxARY9CJgt47z14EqKCD/99hgNHzuLx05chll+5cQ8Hj53D+w9eQculvvKDGcfPXIG/f0DQcj9t2hypetaKWFZrFhMNeA4Y4RwI0F7C5njd+vsD5tgP9xFAZzP9LeK5ZtxzLSiY4ITJBSwW8Lq4REGl0oURM0a0oEa6RHFG3WoeiB7NLWiZMSYkQB07cyX6jZ4XVJwEunJl+eK1O+g8YJoKcGXllHnrMGH2akhw26bXRNx78FgFuM27j8Omnf/D5t2H0X3ITHh6eUt2vHnvY5a05+x99Fx6hIkGPAeMcA589PEz/etWe29472We9wdzvQ9xPzyePAeMew6oQIIDswhYLOB99fqdFti6qyB08eqdkLRg5XYMmbAIb95+MGrjd/75N9zdXEOUuWz9bkwa0gHtm1TFuIFtMX7WKhXEbt59CHPG/oKurWqiRsUSWLFxL85cvKFuqhveqzkkuWllHTp+XpUXN6YrzJHUzjigAAWMIuDm6myW123MaC5m2Y853oO4D/O819PZsZyN8oZmA4VYQxUtFvDqdDqs/n0fXr95j7+OnlVpx75j6kcoAuT7RiPqVPAoiJKFcwWV+NHbR90klzplErXsu2SJ1H5PnruK9KmTw9k5kCVD2hS4ePUO5Ka6rJlSq7wyyJwhFa7dui+TTBSgAAUoQAEKUIACVi4QGNlZoJKxY0VHj7Z1sHrOYCyc3FuldfOGYvAvTSFXUE1RJT/pUKcVLE+GkKBVglltFpeu30GJQjmR/fu0OH3hhnousCyXbg0exfIga8bUOH7msixSSZ4XXLxAdjXNAQUoYAwBlkEBClCAAhQwnYDFAl5pUrO65WUUIr1/74kA/4AQy751Rm5CmzpvHW7cfoD5K7ap4qRrQq/hs1V/XOnD27phJUgQPqhbY1Rt2h8d+k3Blt2HUblMERQtkA0pkydBnTZDVYru7obsmdOqcjigAAUoQAEKUIACRhNgQSYRMGvAe/7yLVRo2Buv376HPDGheLVOCJ3khjEfX1+jNjZDmhSYNaYbDm6ahkY1y6iy5QrvtuVj0LN9PexeNQG5s2VQyyXA3bRoJAZ3bwq54hw/bixEcXZGv84NMHd8D5Wkz6/KzAEFKEABClCAAhSggNULmDXgTRA/DvJkzwh5GkPyJAkUTpeWNSHdGCT17dQQ2TKlgZG78Ko+uW5RXSFJujOoHWsDCWSTJoqnAlptNuif3OAmP30ctODThFwBlvRpliMKWEqA+6UABShAAQpQIAICThHI+81ZJbgc0bsForm7qSBUrpjWrFQSPxXPq5LcXNa/S8MQjyr75p2yAApQgAIUoAAF7FSAzaKAYQJmDXhDV0m6FYReliNLus8eIRY6D+cpQAEKUIACFKAABShgqIBFA15DK8l8FPgWAW5LAQpQgAIUoIBjCzDgdezjz9ZTgAIUoIDjCLClFHBYAasLeOXX1p6/fOOwB4QNpwAFKEABClCAAhQwroBFA94TZ69i6KQlkOfh9hk1FwPHLcTi1Ttg7F9aMy6ZnZfG5lGAAhSgAAUoQAE7E7BYwOvj44t2fSbj9r1H6qkMsWJEg7+/P7w++jDgtbOTjM2hAAUoYIsCrDMFKGA/AhYLeJ2cnBAvTkwsmNgLA7s1Rr/ODTGyT0sM7dEMri4u9iPMllCAAhSgAAUoQAEKWFTAYgGvs7MTqpUvhqs374UAePf+A/wD/EMss94Z1owCFKAABShAAQpQwNoFLBbwCox71Kho0mWM+rlh+cnhsvV6qj69vr5+spqJAhSgAAVsRYD1pAAFKGDFAhYLeD96+2D8r6vQrG55tG9STaW2jasgY9oU0Ol0VkzGqlGAAhSgAAUoQAEK2JKAOQPeEC5RXV2QO1sGtNOC3EqlC0NS9fLF0b1NHURzdwuRlzMUoAAFKEABClCAAhSIrIDFAl6pcPkfC2L7vmN48+6DSq/fvMfuA8fx7r2nrGaiAAUoYKcCbBYFKEABCphTwGIB74N/n2HUtOXqGbyFK7WHpCJVOmDD9r/g5MQuDeY8CbgvClCAAhSgAAUoYBEBM+3UYgFv8iQJkC5VMiyf0R8bF45QSaYL58sKf/8AMzWfu6EABShAAQpQgAIUsHcBiwW8Artwcm/Vj1duVJMkfXprVCyJuLFjyGomClCAAiLARAEKUIACFPgmAYsFvM9fvsG+Q6exZsv+oLT6932YMnctnJwsVq1vwuTGFKAABShAAQpQwHQCLDmyAhaLLJ88e4mhExdj+brdWL/1gEozFm2Ej68v3n3gTWuRPaDcjgIUoAAFKEABClAgpIDFAt40KZPCo3gebF4yCqvnDFZp8ZQ+yJcjE2LHjB6ylpyjAAUMFmBGClCAAhSgAAVCClgs4HWL6oqx/duGqE261Mlx5ORFPHvxOsRyzlCAAhSgAAUoQIEICjA7BYIELBbwPnn2Cr9t2IP5K7apNHf5FvQZNRcvXr3lL60FHR5OUIACFKAABShAAQp8q4DFAl5fX19MnrsWe/93CoePX8DRk5fg7e2DSUPaI37cWN/aLm5PAcMEmIsCFKAABShAAbsXsFjAmyxJAvTr3AArZw2EPJ5M0qQhHVC2VAG7R2cDKUABClCAAtYmwPpQwJ4FLBbwCmqDn0vLCF4fvXHi7FXcvPNAzXNAAQpQgAIUoAAFKEABYwmYNeB9+fotRk37Df3HzA+q/5Ub91C8Wmc06TIaVZr2x8JV24PWccLaBFgfClCAAhSgAAUoYHsCZg145Ya0sxdvoHOLGkpKfnyiVY/xcIvqgrnje2DJ1L5Y/fufeP32vVrPAQUoQAEKUMAqBVgpClDApgTMGvBevnYXjWqWQeKEceHvH4ABYxeopzJMHd4ZRfNnQ76cmfBzhRK4dPWOTSGyshSgAAUoQAEKUIAC1itg1oA3edIEOHb6MuSRZON/XYW/jp5F11Y1kSd7hiCh2/88QqIEcYLmbXiCVacABShAAQpQgAIUsAIBswa82b5Pi2s3/8EPNbti6dpdKP9jQbSoV1ExSDeGmYs2Ysvuw0gQnwGvQuGAAhSggF0IsBEUoAAFLCtg1oDXJYozls/oj6nDO2HptH4YP7AtnJx0SuDps1dIlSIJlk3vj+jR3NQyDihAAQpQgAIUoAAFKPCtAmYNeKWyLi5R8FPxvMibI2OIX1RLnyY5KpUurLo3RHF2lqxMFKAABShAAQpQgAIU+GYBswe831xjFkABClDAvgXYOgpQgAIUMLIAA14jg7I4ClCAAhSgAAUoQAFjCBivDKsLeG/de4SP3j7GayFLogAFKEABClCAAhRwaAGzBbzy88G79v+N7XuPhZvkCQ2Dxi1Uz+Z16KPCxlOAAgYLMCMFKEABClDgawJmC3h1Oh0GjF2IwRMWYfT05WGmYZOX4vSF63B2Mlu1vubD9RSgAAUoQAEKUMAWBFjHLwiYLbKM6uqCauWK4sCGKTi4aXqY6fiO2Whcqyycnc1WrS/QcBUFKEABClCAAhSggD0ImDWy7N+lEaK5h/+MXV8/PxQvkB3x48ayB1u2gQLWJ8AaUYACFKAABRxQwKwBb2jfd+89ceDIWfxx8KRKe7XxgHEL8PrN+9BZOU8BClCAAhSgAAWMJsCCHEvAYgFvQEAAeg6fjfZ9J6PLwOkqdR8yCz4+vo51BNhaClCAAhSgAAUoQAGTClgs4H2rXd3998lzHN06C6d3z4NH8Tw4s2c+MqRJAfk1NpO2moVTwCABZqIABShAAQpQwB4ELBbwxooRDZnSp8T+w2fg6uqC9KmTY86yLXjw7zPcf/TUHmzZBgpQgAIUoIB9CLAVFLBxAYsFvOLWvXVtHDh6FtK9ocHPpXHu8k3kypZeBb+ynokCFKAABShAAQpQgALfKmDRgDdRgjiYMKgddDqdejLD3PE9EMXZGU5Oum9tF7c3vwD3SAEKUIACFKAABaxSwMlStbp49Q7yl2/7Wdq08394/ZZPabDUceF+KUABClDgWwW4PQUoYG0CFgt448eLBbeoLhjbvzWmDOuoUuNaZVC9fHHEiOZubU6sDwUoQAEKUIACFKCAjQpYLOBNkjAeBnZrgh+L5UHR/NlUat2wMs5duokA7X8b9TS42sxIAQpQgAIUoAAFKGAeAYsFvNK8MiXzyUglPz9/PPz3GW7efYh/HjxRyzigAAUoQAG7F2ADKUABCphcwGIB7+Xrd5G1VNOglMOjOSo17ouMaVMgVYokJm84d0ABClCAAhSgAAUo4BgCFgt406RMqgW2iTF/Qk8sndZPpQ0LhmP9/OGfP6XBMY4FW0kBClCAAhSgAAUoYAIBiwW8blFdVZBbOF9W5M2RUaVM6b77LNi9evMfEzSbRVKAAhSwTQHWmgIUoAAFIi5gsYDXx9cPh09cwL5Dp/Hn4c+TLN+w/S90HjAt4q3iFhSgAAUoQAEKUIAC9iwQobZZLOB1ieKMtVsOoFP/qRg0biGGT16KXsPnoGO/qWp6xJSlGD19BV68ehuhBjEzBShAAQpQgAIUoAAFggtYLOCVSshPCu9dOwkHN03HvrWTIdN5smfEnlUT1fzxHbORNVNqycpEAQpQIOIC3IICFKAABSigCVgs4JXHkCVKEAfyPF6tHupfrBjREDWqi3o0mVqgDbq1rqUNTffvybNXOHrqEl6+/u9K8pUb93Dw2Dm8/+AVYsfhLQ+RiTN2K/Bd/OiIH9MtqH2JY7ujTtF0KPp9yKeKZE4RBw1KZECGpLGD8qZKGBOFMyZGMS1vkUyJkeW7uEHrOEEBClCAAhQwtYCjl+9kKQBn58Bdb997DG/ffcCjJy+wePVOHDlxETGjuwdVK2eWdEHTxp6Q/Q4avwCT56zV9ntJFT9l3jpMmL0aJ89dQ5teE3HvweMvLv/o4w9zJFUJDiwmIMHq3Hal8EO2ZKoOEtQu6FAKhTIkRtdKOTC2USG1vKEW6I5vXBg5U8XHhCaFUa9YerV8Zqti6FcjD3pXz40BNfNioJbUCg4sIuDnH2CW1623r3neH8zxHsR98FjyHDD+OWCRN0AH3Wlg1Gmhxg/q1gQrN+1FoUrt8VPt7pi5eBN6tq+LpInjm6VGfUbNhUfxvFg9ZzAqeBSEp5c3Nu8+hDljf0HXVjVRo2IJrNi4N9zlUklvHz+YI8m+mCwjkDCWG6oXSgMfX7+gCjQqmREHLz1Ct8WHUXvCbuTQAtyUCdp+0Y4AABAASURBVGKgWoE0GL72JHotO4ohq0+oK71uLs648uAVKo/eodKl+y+x8djtoLKsZ8JxauLnF2CW162v9oHYHO8P3Id53ofpTGdjnwOO865r+ZZaNOCNEzsGlk3vh/3rp2DFrIE4snUmmtYuZzaVkoVyYsiExVi6dpfa5/nLt5A+dXLorz5nSJsCF6/eQXjLZaOY0VxgjiT7YrKMwNM3Xui19Ci8tA83+hpkTh4XZ+48V7MB2vD1h48onCkxYrq74NStZ9oS4OydZ3DRvsmIoqUeS46oZfFiRFVdHdYduanmObCMgKuLk1let9Hco5hlP+Z4D+I+zPNeT2crcebfdsu8OZtwr04mLPuzouUK6pbdh9VVU29vn6D1CePHgTyXt0qTfihbryc+eIbsOxuU0cgTtav8oALtsTNX4uadB5DnAJ++cANeH73VnqRbg0exPOEuV5k4cBgBnU4H3afW/vPsXVDf3WiuURDL3RXbTt7DRy0o/jF7cpWrVLbkePXeG++8/jvXO5bPhqPXHkP7Rl3l4YACFKAABShAAdMLmDXgffjvU4ybtVJdRX315j3qtBmK/OXbYtKcNSqo3LxklGpx6JvF1EITDaSPcEWPQrh07S5ix4qOQd0ao2rT/ujQbwokOK9cpki4y01UJRZrhQKjGhTQgloX1C6aXgW6YzaeRtbv4mJV95+wrmcZHLj0UAW2EzefReeK2fFbVw/0qJITi/+8EtQaNxdnFMiQCHP3XA5axgkKUIACFKAABUwvYNaA1z8gAEULZEeB3N9DntAwql8rpE+THN3b1FYtjeLsjFQpEqtpcw3k0Whv33sid/YMapcS4G5aNBKDuzfFunlDET9urC8uVys5sHuBEetOofq4XWg24091hfbhyw+oMX43+q/4G3Um7cHYjWeUwYFLj1BtzE4MW3MSVbXxjtP//VJgq9KZcePRGzx/a55vMFSFOKAABShgcgHugALWL2DWgFeLdxErRrQglZjRoyHBp4ASn/6ToPjTpElHJ85eVd0npDtD64aVkCJpwqD9ubu5qoA8aMGnifCWf1rNkR0LfPjoC0nSPUHu8Nc39ea/b/DW878uC7Lcx88fVx++goxlXp9K50iB6TvO62c5pgAFKEABClDATAJmDXilTeev3Ma2vUdV2q6N795/rKZl2ZrNf+LsRfPczCM/cLF+/jD06VgfubMFXt2V+jGZRoClAq1mH4AEyLSgAAUoQAEKUMC8AmYNeHU64Nylm+g1fLZK439dhZt3H6ppWTZ00hJ1w5pcCTY1g5OTDjGiu5t6NyyfAkECj195Bk1zggIUcFgBNpwCFLCAgFkDXict4i2aPxt+XzQSf6ye+FmSK67ZMqWxAAN3SQEKUIACFKAABShgrwJmDXhjx4qBZnXKqxvV5MclQqfv06fEj8XyQK6+2iu4Qe1iJgpQgAIUoAAFKEABowmYNeBNEC82CufL+sXKt2lUGZLvi5m4kgIUoAAFQgocGQrYYWKbeFzNfg7cPxDytcU5uxAwa8BrF2JsBAUoQAFrFDg8BGCiAc+Bbz8H/tlvja9w1ukbBewg4P1GAW5OAQpQgAIUoAAFKGDXAgx47frwsnEUoIBDCbCxVi2w72FivPOJYtV1ZOUoYK8CDHjt9ciyXRSgAAUoYDUCrz66IgA6xHDxtZo6sSIUsGeB0G1jwBtahPMUoAAFKEABIwvEieoNj2T/GrlUFkcBChgqwIDXUCnmowAF7EyAzaEABShAAUcRYMDrKEea7aQABShAAQpQgAJhCTjAMga8DnCQ2UQKUMD+BU7UvggmGvAc+PZz4GHW9vb/huGALWTA64AHnU2mQCQEuImVC7RYPQxMNOA58O3nwOYL/OEJK3+7i1T1GPBGio0bUYACFKAABSjgmAJstS0KMOC1xaPGOlOAAhSgAAUoQAEKGCzAgNdgKmakgOECzEkBClCAAhSggPUIMOC1nmPBmlCAAhSgAAXsTYDtoYBVCDDgtYrDwEpQgAIUoICjCSSPnQjTqvdE9ew/OFrT2V4KmF2AAa/ZybnDzwS4gAIUoIAdClTMUiyoVXVzl0XjfBWD5pvkr4yl9YdhyK652Hj+z6DlnKAABUwjwIDXNK4slQIUoAAFHFRABx2mVOuBEeU7KIEiqXMge9L0aF+0NlLHS4Z40WKjc/G6uP7sHmbV7KPmVUYAHFOAAqYRYMBrGleWSgEKUIACDiww/+hGfPT1VgKH75zDUO1K7kvPN3j54Q3KfV8Yj98+R9u1o7T5t+j/U3OVjwMKUMB0Agx4TWdropJZLAUoQAEKWLNAAAJw4d+bIao4t/YAJIgeB++9PfHwzTO4OLuo9a+0INg/IEBNc0ABCphOgAGv6WxZMgUoQAEKmFLAisvu/1MLuLtERbeSDVQtm64cjEdaoFspS3H8dfMkXnx4jWHl2iJTotSYeWiNysMBBShgOgEGvKazZckUoAAFKOCgAhP3L0OhqU3w66G1kKcxfBcnMT54e+GvW6chV3TrLO2D2YfX4+dFPXDnxUMHVWKzKWA+AXsPeM0nyT1RgAIUoAAFPgl4+XrD0+cjZJwreUaMr9IVy05uU1d2P2XBwzdP9ZMcU4ACJhZgwGtiYBZPAQpQwDoEWAtLCWy79D/UXdoXMrZUHbhfCji6AANeRz8D2H4KUIACFKAABShg5wIhAl47byubRwEKUIACFKAABSjggAIMeB3woLPJFKDAVwVsLsOyWrPARAOeA99+DlTP+t8v4tncGwErHK4AA95wabiCAhSggO0I9Fx6BEw04Dnw7efAnrP3beeFb5aa2sdOGPDax3FkKyhAAQpQgAIUoAAFwhFgwBsODBdTgAKGCzAnBShAAQpQwJoFGPBa89Fh3ShAAQpQgAIUsCUB1tVKBRjwWumBYbUoQAEKUIACFKAABYwjwIDXOI4shQKGCzAnBShAAQpQgAJmFWDAa1Zu7owCFKAABShAAb0AxxQwlwADXnNJcz8UoAAFKEABClCAAhYRYMBrEXbu1HAB5qQABShAAQpQgALfJsCA99v8uDUFKEABClDAPALcCwUoEGkBBryRpuOGFKAABShAAQpQgAK2IMCA1xaOkuF1ZE4KUIACFLCwQIaksVGrcFrEcHMJUZPwln8XPzrix3QLkZczFKCAcQWcjFscS6MABShAAQpYg4Bl6tC+bFb0qZ4bdYqmx6ruP8HFOfDPbHjLC2dMjLntSuGHbMksU2HulQIOIhD4SnSQxrKZFKAABShAAVMKrD58Ey1m7VdJgt040V3V7sJanjCWG6oXSgMfXz+VhwMKUMB0Ag4d8JqOlSVTgAIUoIAjCjx/66Wa3bVSdhy99hhP3wTOh7Vc1vVaehRePgx4FRoHFDChAANeE+KyaApQgAI2IsBqGknAzcUZ4xoVwoMXHzD+97OY0bKYKjm85bJSp9NBJxNMFKCAyQQY8JqMlgVTgAIUoIAjCSSO7Y61PcogZ+r4qFk4Ldb3LIO3nj4Ib7nYjGpQALHcXVC7aHoU/T6JLGKiAAVMIGB4wGuCnbNIClCAAhSggL0IPHntiQZT/kCtCbtRW0sy7vfbMYS3XNo9Yt0pVB+3C81m/Km6QMgyJgpQwPgCDHiNb8oSKUABOxdg8ygQlkCAtvCNdkU3eJJlkoIvk2lZpmXHh4++Kr3z8oGfv36prGGiAAWMKcCA15iaLIsCFKAABShAAQo4joDNtJQBr80cKlaUAhSgAAUoQAEKUCAyAgx4I6PGbShAAcMFmJMCFKAABShgYQEGvBY+ANw9BShAAQpQgAKOIcBWWk6AAa/l7LlnClCAAhSgAAUoQAEzCDDgNQMyd0EBwwWYkwIUoAAFKEABYwsw4I2A6JUb93Dw2Dm8/xD4U5ER2JRZKUABClCAAhSIiADzUsCIAgx4DcScMm8dJsxejZPnrqFNr4m49+Cx2vLZ648wR1I744ACFDCKwIePfmZ53ZrjvUH2Ie0xCgwLoQAFlIC8rsyR1M44MIsAA14DmD29vLF59yHMGfsLuraqiRoVS2DFxr0GbGm8LOVypsRvnX9iCmlAD3pE6hz44OVrvBenFZQk7eH7A98feQ4Y5xyQv7dW8LJmFYwswIDXANDzl28hferkcHYO5MqQNgUuXr2jtkwQOyqYaMBzgOcAzwGeA5Y9B+hvi/4qkODALAKBEZxZdmW7O8mU7jucvnADXh+9VSOkW4NHsTxqmgMKUIACFKAABShAAesWYMBrwPGJHSs6BnVrjKpN+6NDvynYsvswKpcpYsCW1pWFtaEABShAAQpQgAKOKMCA18CjLgHupkUjMbh7U6ybNxTx48YycEtms2eBN+8+wNfPzyhNPHjsPBp2HIk/Dp40SnkshAIUCFcgwitu3n2IfqPnYdf+vyO8bVgb3L3/GJ0HTlM3Q4e1Pvgy+XZx2OSl6v0h+HJOU4AChgsw4DXcCu5urkiUIE4EtmBWexdo2GEEdu8/YZRmFsqTGW7aOebjY183VBkFh4VQwMICSRPFx7sPnpAPucaoynfJEiFzhlT44Pnxq8W5RXVFmZL58PT5q6/mZQYKUCBsAaewF3MpSEABAwQmD+uIUkVyhZvz9r1HMDSAdXGJglgxooVbFldQgAKWE4jmHhXJkyQ0WgWcnHSIEyuGweXFjR3T4LzMSAEKfC7AgPdzEy5xUAE/P/+vdk/46O0TQidl8sTQ6XRBywICAoKmZWLcrFX44PX1KziSV5KvkbpHSFlMFDCWAMsJFJBXeqiXeOAKbRj6tS9Xbr1DvV9o2UL88/cP+X4RYmWoGX9//1BLOEsBCkREgAFvRLSY124FTl+4jkHjF6JWq8F49uI1/n36AsMnL8WoacvVjYofPL2wePVOFKvaCe36TEaVJv1w5OQlFKncAb/v+p8KlKcv3ID2faeg/5j58Nf+kO3a/zf+OnoWHbRli1btUHYrN+2F/IhJ825jsWv/cbVMxl0HzUDrnhOw9+AptYwDClDAOgWOaq/7lj3Go0LD3pBf35Rart/2FwaMXaD62Mr7x8Fj51Dy5y6YvnAjeo+cg+LVOuHy9buSFVdv/gN5vfcY9qt6L1ALtUFY7zkvX79V5UrfYdlGy8Z/FKBAJAWMFPBGcu/cjAJWInDgyFlEj+aGkX1awt0tqgpupb9ewvhx8PfpK1iydhdqV/kBEvjWrlIKM0Z1QeG8WVDBo6AKbuVRdelSJcekIR2waef/VNBctlQB1bpZY7qhWd3yqv/drMWbECO6O+LEjqn+kB0/exUzF23ExMHtIfmkT5/aiAMKUMDqBHQ6HZIliY/ZY7ujVqVSGDx+kXqt//PwiXrvkAqfPHcVxQvmQNZMqZEkUVyM7d8GFX8qDHmP8fTyRstfxqFf54aYMKgdalYqKZuoJB+oQ7/nDJ6wSCsrO0b1bYXeHeqpfBxQgAKRE2DAGzk3bmVnAvWr/wS5cjPh19WqZXLFpmvLmmjVoBKO75iNdo1oowZSAAAQAElEQVSrQvrwycrs36eFdGWQ6SjOzjJCwdyZUSD399iw/S81H/rrTVn45+Ez8CiWFy3rV9QC4/aq3POXbyJ75rTqR02krMQJ40pWJlsWYN3tVkBe1/Lal9eqBLEXrt5WT+xp3bCy9o3N37h7/1/1AVgAnLTgOGXyJDIJ+eD8+u17XLv1j5rX3/ycJFE8NS+D0O85rRtUVt/4ZM6QWlYjEd8blAMHFIisAAPeyMpxO7sSkCs0a+cNRZQoztj3v1OQHxvZuOMg5A/cB8+POHX+Gvz8AvvQSXcFfeP1y+Rrym6DZ6qrMbLOP1hHv+cvXuPG7QdakJwI2/YeVVeEJM8J7epuwnhxceTkRej7Bntq+wq+reRjogAFrENAety+fvNOVUaC2/y5vte+9fmIZl3HIFGCuMiUPqX2nqFWw1s9bUW2AD5+9FYfmJMljo8Xr97i5p0HKpOXdsXX/9P7Suj3nLOXbiBVisQ4euqSyvvxow98fH3VNAcUsBUBa6qnkzVVhnWhgKUEDhw5g2nz1yOqqwvy5cyEXu3rYtHqnajYqA9GTl2mBauJsWTtTlW9qfPX4fnLNzhy4iL+OnYWW/Ycxp1//tXSI8xZtgUpkiaEdF3w9fNDtXLF0EL7CvPA0bOqXHm0kPTtkx8wuXv/MX4qkRdpUyVD+Qa9IF9fSj++VZv24f6jp2pfHFCAAtYjIFd25y7finEzV2Lm4k0Y3L0JfH398PDxM6zdsl8LbH2wbut+LR2A3Bfw24Y9qkvU77sO4X/HzsPT66P61qhK0/7oM2oujmnBrHzglfeSsN5zerWvh6ETF6v7CNZs+ROPn76ElGk9IqwJBWxHgAGv7Rwr1tSEAvKVZOtGlTF1eGck1a7C5MiSDgc3TcPSaf1U37wE8WKjca2yOLt3gfojFy9OTOTP/T12rZyApVP7qmdkbl4yCkN6NIP8QMnwXs0hfxyH92qBjQtHoEW9Cmp+ZJ+W2Ld2srafTqhRsQTc3VwxZ+wvWPXrYAzVtl07dyiWTe+ngmYTNteKimZVKGA7At3b1MLOFePQSHsvWDS5N9KkTIrYsaJry8ZjQNdGWDSlN+aM+wXVyhfDqd3zME17P5EP0NuWj8HymQMgz97t2qom/lw3BSN7t8TM0d2wfflYFM6XFWG958gjDw9vmYnxA9uq96ETO+eiwc+lbQeMNaWAFQkw4LWig8GqWE5AbiSLHTM65NmY+lrIw94l0NXPSwAryVW7CqzT6VQA6xLFGfL8XJ1OB3lOpsxLEKvfRsqTcvXzMpZ+ulKOTEtydnbSvg4N/EETuXFOljFRgALWJ6DT6VSf3aSJ4oV4HKG8bqO5uwW+J7hEUWP5tkjeK+Q9QF7v8t6g0+lUoxIliKP67ct7hbz+1UJtEPo9R1sEef/Qly35ZRmTnQqwWSYVYMBrUl4WTgEKUIACFKAABShgaQEGvJY+Atw/BQwXYE4KUIACFKAABSIhwIA3EmjchAIUoAAFKEABSwpw3xSImAAD3oh5MTcFKEABClCAAhSggI0JMOC1sQPG6houwJwUoAAFKEABClBABBjwigITBShAAQpQwH4F2DIKOLwAA16HPwUIQAEKUIACFKAABexbgAGvfR9fw1vHnBSgAAUoQAEKUMBOBRjw2umBZbMoQAEKUCByAtyKAhSwPwEGvPZ3TNkiClCAAhSgAAUoQIFgAgx4g2EYPsmcFKAABShAAQpQgAK2IsCA11aOFOtJAQpQwBoFWCcKUIACNiDAgNcGDhKrSAEKUIACFKAABSgQeQFzBLyRrx23pAAFKEABClCAAhSgwDcKMOD9RkBuTgEK2I/Aq9fvsPvACRM2iEVTgAIUoIAlBBjwWkKd+6QABSIt8Ojxcxw4chYrN+3Frv3H8fzlm0iXFXzDm3ceoE7boeg2eEbwxZymAAUoQAFTCJi5TAa8Zgbn7ihAgcgJvH33AcMnL0XTrmPw9PkrpE6RBBev3ka5+r1QoWHvyBUabKt0qZNjaI9mwZZwkgIUoAAF7EWAAa+9HEm2gwL2JxDUooCAAPQc/itOnb+GDQuGo2alkiicLyu6t6mNKcM64u79x0F5v2XC2dm23hKfvXiNa7fuf0uTuS0FKEABhxCwrXd3hzgkbCQFKBBaYM9fJ3Hw2Hn0aFcX0aO5hVhdNH829O/SKMSy8GYkcP7o7RPeavj5+4e77msrvD56fy1L0HqpQ/CuGDItV631GW7cfgBPr6+Xt2jVDty+91C/2VfH5y/f+moeZqAABaxRgHX6VgEGvN8qyO0pQAGTC5w4e0XtI3e29GocelC/ukfQon3/O4V67YejXZ/JKkl/X1n5+65DqNioDwZPWITi1Tph4uw1shh/n76Clj3Go06boeg57Fe1LKzB6zfvMX7WKnToNwV9Rs3Fbxv+wOrf9+HspZuqm0XnAdNQpUk/Ne3r56euvLbuOQFte09U5S9esxMScB86fgF5yrTC+F9Xqd1ImSWqd8a837ap+clz16Jqs/7Ysuew2k7K3HfotFoXfLBr/9+QMgeMXajac+LMVZVfundMmL0ab959QOeB01R3jz8OnESn/lPRvPs4bNxxEDVbDUbDjiOhvzIuV4oHjluo2iUO57Q2Bd8XpylAAQrYugADXls/gqw/BT4J2PPo1r1HqnnublHVOLzByXPX0EkLPCcN6YBfx3RDtXJF0b7vZBXUSrAsV2EvXb2DEb1bokShHLh8/a4KYIf3aoHVcwajUuki4RWNNVv+RNSoLpg5qiuiurpg9tLf8fa9J1J/lwQxo7tDAtlOLX5G7co/QPobN+gwAjUqlsDssb9gyC9NIYHtnGVbIFekf65QImg/PdvXRdlSBdS8BMQpkydW03e0Nv/SpjayZEqtgtUH/z5Ty/WD0iXyI1WKxBjUrTH+XD8F+XJlgrRDgthiBbIjVoxoKP9DQVWfQvmyIEmiePjg6aWC7n6dG8LHxxcSkEt5PbRAP37cWGhUowySJ02oTKQNso6JAhSggD0IMOC1h6PINlDAzgUyp0+lWvjv05dqHN5g6x9HUDB3ZiTVgjvJ41E8L6K5u2Hb3iOQQDJZ4gSoU/VHlCycE/lzfY91Ww/Ao3ieoPwSKMp2YaW/jp6DPuBOkzIpcmVNj5b1KyJ2zOjIlC6lKqd0iXyo4FEQR05cUsHlD0Vyq6JSaEGk7EeCZlkQultGzBjushg6nQ4/aXWWmVqVSyFzhlTo26mBzOLkuatqrB84OekQxdkZzlqSsSyXdlcrVwyrNu2TWUhXEAm6Y0R3R5H82RAvTkxIsJ0newZ0bF4d9x89xZkLN3D8zBVImyRYlnpKQKwK4IACtinAWlPgMwGnz5ZwAQUoQAErEyiUN4uqkXwdryZCDeSRYre1K6K+vn64fvs+/P0DVA4JBOXKbvCrlTqdTq2TgfSdfa9dpZXpr6XaWgAqj0KTIHnrniNoXKtsuJv4+fmpdfeDXZXNkTmdduXXUy2XgdRVxl9LElAnThhXXVUOK6+vn2+IxfWqe2iB7gkVxEpgHVO70hsiw6eZ9GlSqCmdU+CfgZTJE6lgvaJHIZT/sSDC205txAEFKEABGxMIfKezsUqzuhT4ZgEWYFMCBfNkhjyZYeaijQjdn/WhFlT2Gz0fCePHwQ9FcuHFq7fqaQ7SQLnxS7oalCycS2a1dW/gHeymtbw5MqryJGCWIPnGnQcq38vXb9U4+OD5qzcooF09luBz6bR+6gqxfv3rt+/g4xMY5MoyySfj3fuPy0ilo6cuoUzJfGo6TqwYkH1K/SRQv3L9Hnx8fYMCdckkfXBlLFddfXx8UShvVpkNkeSK8627jyDPJj51/rpaly1TGuTOlgHt+05B1bJF1TL9wOujj7ryLPNHT15U3StyZkkLuQI9d/lW/Pv0BXy1YH3Wkt8hP8Ih+ZgoQAEK2IMAA157OIpsAwXsXECu1Eo/2K6tamLsjBXq5qzpCzdgyITFaNhpJEpqga58bf9jsTzo2b4u+o+Zj7EzV6JGy4Fo06gyqpQpgnm/bVU3aclVWrnZTMhqVCypHm9WpWl/VGrcB2cv3pTFalsJ/NTMp8HJs1ex9+ApzFi4ER37TYHc5HXlxj0cPHYOm3Yewl9Hz2Lk1GUqtwTFCyb2UjeIyU1yTbuOgXtUV/TqUE+t/6FobsiNYnKz2nStvNixouPAkTPaldn/AuT67Yej66AZ+GXoLNUPWK70qo2DDWpWLqnaJf2W06RMErSmUc0yqvtCnuwZg5bJhPThrdS4r+qjK78oN6pvK1mMyUM74ITWPo9a3dGg/Qhk/z4N4sSOodZxYP8CbCEFHEGAAa8jHGW2kQJ2IKDT6dCqQSXsWjkeY/q1RqnCudC2SRXsXTMJ7ZtUDWph09rlsH35WNSt+iPWzx+Ozi1qqL6xTeuUx5k/FmDr0tGqH6tsEM09KuaM/UXll7xj+7fG8R2zVfkSZEseffpRC6aL5s+m+r5KP9gX2hXfAWMXqID58OYZquwe7erqs2tXZLOourZpWFkFlNNHdlH9fSVDpnTfYd+6KTiwYQomDWmPaSM6q3aU/XTzmuRZP38YBnRthHXzhiJrptSy6LNUq1IprYypWDNnCOLGjhm0XqZrVCwBJ6f/um/ISunP/PuikZBAV27qSxAvtixGloypcXDTNOz4bZy6ea94wRxqOQcUoAAF7EWAAa+9HEmTtoOFU8C6BCRQy545LZIkjKeC2dC1c3Z2Uk8wcHdzDVrlEsUZKrlEgYuW9CuC55XlEhTq1+nH0mVAgtsuLWtAgsFKpQurPrwJ4sVSN47JdlK2PL1Bv41+nCxJghDBqH655Nfvy027+qvT6dQqeVKDTEhZCT4FpDIfXpI8wQNb2X75ht2oXCZkd4aAAMAtqovqmxvW1WKpg/TjDW8/XE4BClDAlgUY8Nry0WPdKUABswjII7ukm0L3ITOxYOV21eVBHjPWt1NDo+//vaeXKvOdgTfTqcyfBrJNq54T1Jw8sUFNfBrIzXkvXr1VfXQ/LeIoMgLchgIUsEkBBrw2edhYaQpQwJwCrq4ukK4AzeqWV48mk8eXrZo9SF1FNmY95Kax7oNnQoLrQeMXQn5EIyLlyy/FpUyeGL071A+x2ZETF/Hr0t9Vuc26joXcKBciA2coQAEK2LkAA17jH2CWSAEK2KGAPKarSpmiqF/dQz3dIHQfX2M0WbpoyA9g7Fs7GRsXjoD0G45IudJVQX6IInmSBCE2K5wvq+qnLOUum95PPXM3RAbOUIACFLBzAQa8dn6A2TwKUIAClhPgnilAAQpYhwADXus4DqwFBShAAQpQgAIUoICJBCwe8JqoXSyWAhSgAAUoQAEKUIACSoABr2LggAIUoIDFBVgBClCAAhQwkQADXhPBslgKUIACFKAABShAgcgIGH8bBrzGN2WJFKAABShAAQpQgAJWJMCA14oOBqtCAQoYLsCcFKAABShAAUMFGPAaKsV8FKAABShAJUx8egAAAkZJREFUAQpQwPoEWCMDBBjwGoDELBSgAAUoQAEKUIACtivAgNd2jx1rTgHDBZiTAhSgAAUo4MACDHgd+OCz6RSgAAUoQAFHE2B7HVOAAa9jHne2mgIUoAAFKEABCjiMAANehznUbKjhAsxJAQpQgAIUoIA9CTDgtaejybZQgAIUoAAFjCnAsihgJwIMeO3kQLIZFKAABShAAQpQgAJhCzDgDduFSw0XYE4KUIACFKAABShg1QIMeK368LByFKAABShgOwKsKQUoYK0CDHit9ciwXhSgAAUoQAEKUIACRhFgwGsURsMLYU4KUIACFKAABShAAfMKMOA1rzf3RgEKUIACgQIcUoACFDCbAANes1FzRxSgAAUoQAEKUIAClhCw7oDXEiLcJwUoQAEKUIACFKCAXQkw4LWrw8nGUIAC9irAdlGAAhSgQOQFGPBG3o5bUoACFKAABShAAQqYVyBSe2PAGyk2bkQBClCAAhSgAAUoYCsCDHht5UixnhSggOECzEkBClCAAhQIJsCANxgGJylAAQpQgAIUoIA9CbAtgQIMeAMdOKQABShAAQpQgAIUsFMBBrx2emDZLAoYLsCcFKAABShAAfsWYMBr38eXraMABShAAQpQwFAB5rNbAQa8dnto2TAKUIACFKAABShAARFgwCsKTBQwXIA5KUABClCAAhSwMQEGvDZ2wFhdClCAAhSggHUIsBYUsB0BBry2c6xYUwpQgAIUoAAFKECBSAgw4I0EGjcxXIA5KUABClCAAhSggKUF/g8AAP//S03JAQAAAAZJREFUAwBqx0E7LnBrrAAAAABJRU5ErkJggg=="
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# ── Setup ────────────────────────────────────────────────────────────────────\n",
    "FM_LABEL = {'pendant_pendant_sum': 'PPS', 'colored_pendant_sum': 'CPS', 'indexed_pendant_sum': 'IPS'}\n",
    "rel = equal_rel.copy()\n",
    "rel['sum_type'] = rel['fieldmark_name'].map(FM_LABEL)\n",
    "\n",
    "# Per-khipu: count seriated / banded Equal Sum cords\n",
    "khipu_gt = (rel.groupby(['kfg_name', 'sum_cord_group_type'])\n",
    "               .size()\n",
    "               .unstack(fill_value=0)\n",
    "               .reindex(columns=['seriated', 'banded'], fill_value=0)\n",
    "               .reset_index())\n",
    "\n",
    "def _classify(row):\n",
    "    if row['banded'] == 0:   return 'All seriated'\n",
    "    if row['seriated'] == 0: return 'All banded'\n",
    "    return 'Mixed'\n",
    "\n",
    "khipu_gt['group_class'] = khipu_gt.apply(_classify, axis=1)\n",
    "\n",
    "cls_order  = ['All seriated', 'Mixed', 'All banded']\n",
    "cls_colors = {'All seriated': 'steelblue', 'Mixed': 'mediumpurple', 'All banded': 'salmon'}\n",
    "cls_counts = (khipu_gt['group_class']\n",
    "              .value_counts()\n",
    "              .reindex(cls_order, fill_value=0)\n",
    "              .reset_index()\n",
    "              .rename(columns={'count': 'khipus'}))\n",
    "\n",
    "# ── Donut: khipus by group-type composition ───────────────────────────────────\n",
    "total_k = cls_counts['khipus'].sum()\n",
    "fig = go.Figure(go.Pie(\n",
    "    labels=cls_counts['group_class'],\n",
    "    values=cls_counts['khipus'],\n",
    "    hole=0.55,\n",
    "    marker=dict(colors=[cls_colors[c] for c in cls_counts['group_class']],\n",
    "                line=dict(color='white', width=3)),\n",
    "    texttemplate='<b>%{label}</b><br>%{value} khipus<br>(%{percent})',\n",
    "    textfont_size=13,\n",
    "    sort=False,\n",
    "))\n",
    "fig.update_layout(\n",
    "    title='Equal Sum khipus by group-type composition',\n",
    "    annotations=[dict(text=f'<b>{total_k}</b><br>khipus', x=0.5, y=0.5,\n",
    "                      font_size=16, showarrow=False)],\n",
    "    template='plotly_white', height=420, showlegend=False,\n",
    "    font=dict(family=\"ETBookOT\")\n",
    ")\n",
    "fig.show()\n",
    "\n",
    "# ── Stacked bar: equal sum counts by group type × sum type ────────────────────\n",
    "FM_COLORS = {'PPS': 'steelblue', 'CPS': 'seagreen', 'IPS': 'darkorange'}\n",
    "GT_ORDER  = ['seriated', 'banded']\n",
    "\n",
    "by_gt = (rel.groupby(['sum_cord_group_type', 'sum_type'])\n",
    "            .size()\n",
    "            .reset_index(name='count'))\n",
    "\n",
    "fig_gt = go.Figure()\n",
    "for fm in ['PPS', 'CPS', 'IPS']:\n",
    "    sub = by_gt[by_gt['sum_type'] == fm].set_index('sum_cord_group_type')['count'].reindex(GT_ORDER, fill_value=0)\n",
    "    fig_gt.add_trace(go.Bar(\n",
    "        x=GT_ORDER,\n",
    "        y=sub.values,\n",
    "        name=fm,\n",
    "        marker_color=FM_COLORS[fm],\n",
    "        text=sub.values,\n",
    "        textposition='inside',\n",
    "        insidetextanchor='middle',\n",
    "    ))\n",
    "\n",
    "fig_gt.update_layout(\n",
    "    title='Equal Sum counts by group type and sum type',\n",
    "    barmode='stack',\n",
    "    xaxis_title='Cord group type',\n",
    "    yaxis_title='Equal Sum instances',\n",
    "    template='plotly_white',\n",
    "    height=400,\n",
    "    legend_title='Sum type',\n",
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      "=== Fisher's Exact Test: Equal Sum cord group-type concentration ===\n",
      "\n",
      "Background cord distribution (full corpus):\n",
      "  Seriated: 36,215  |  Banded: 8,964  (80.2% seriated)\n",
      "\n",
      "Equal Sum sum-cords (unique, deduplicated):\n",
      "  Seriated: 1358  |  Banded: 305  (81.7% seriated)\n",
      "\n",
      "H₀: equal sums occur in seriated groups at the background rate (80.2%)\n",
      "H₁: equal sums are overrepresented in seriated groups\n",
      "\n",
      "  Fisher's exact:  odds ratio = 1.11×   p = 0.0617\n",
      "  Binomial test:                             p = 0.0653\n",
      "\n",
      "  ✗ FAIL to reject H₀ — equal sums do NOT significantly exceed the\n",
      "    background seriated rate (80.2%).\n",
      "    The visual concentration in the bar chart is explained by the\n",
      "    corpus itself being 80% seriated, not by a specific affinity.\n"
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01+VgmiGvGE5AzXcfAY8TvGx667drYMLQLvYCvsKMDDUzPwB3zWNlhk2Z7fe2PC+EQ80o1OWr1+mNqbN/Qq1KL6Np/Up2f+Kwrpg9sS96tGsIXnhrVHzJ+nPB0U6KqNZv10QGIwrLlCwM5whksiSJUChfDkZDhTLFUKnsi0iaOCHWbdoFTvV19MRZO+q333/aL46oUDhzxIUiPHeOzPaFtRF929o8QlqkT5MS79Tzq+v2PYdsNA7OUkC0a1rbijqOjC1bswVJkyS0AtVGCuXiy8Hv2/z5A822U7RShO3c95cVqfyxrlyuuM3t/KWrdk3hRpHLH6gZX/S2PDu0qGPDjv/j92IK+Z+7cAXvNq6BFMmSoHaVUnirdnkbx7kYYUY2UxpBPOnbxfjCjPrEiR3bCp/V5gc7NOmd+XDNl/+6tK5vjwWOMPXq2AgUpiH19aPax5GZ2WaUrNVb1cA+zW6EyzIjyNs3r20EaTrrUqdMhgqli6F8qaKIEyc2mpg+YltYFzrewiwsoAAAEABJREFUcI01o721q7xihU8cI74piPjSD0f6LhiWlcwxQ1FAluOHdLHHUNMGlZkcJ8+ct2t3LChC61Uvi1GftLdCft7SdbbYvX8exYcdGiFt6uSoWOYF60fByY2Z83+2fdWmSS3EjhXLcti6fAJefiE/g627bR7lDh7zLabPWQGKYtrH85hh4LZdB63ArPZaCfBcqul/3k0d3RPVXytpj6ngzlHeLNw2I8vN3qxibzqzZEwHClwea7wpY945/MUst+kcDgcKm5sUbtOxDm9UK81NK4T5UiOP/WqmXApvXzO6/yTnKvPlNYkZr9u0myuw3znC2d48zucN9dOcq8wwpTlfeGNERlXNeckyY3n5XZ7/OvoPOELfuE4FI3ATmJvpRGjX9HUms/XgBo/bNKmScTPAOa9jTo9H9bszzuPW7Jc5E/uZG+kStp852LDCXKOZLoG54eCNCbedjscYzzPnPm8gq1coaXcHdG+Bt+tWBF8KdR5fk4xI53aDmq/aOKdOX7DroAuaIvQdPgUU9nyRMom5RtPWfuaXve3TqcedoyFdPx53feKAydP2ddC2aF8ERMA9BPyuqO4pK0yllCpeEIunD7YjbBSa33y31Kbftf8vIyBeQH1zQaxrfsx7mhHVhZMHoo0ZhWEEh/+PRK5smbhrfzy5wRcsuKajrfAXZqSE4pT73t4+XD3SsQ7p0qSw5bBcXqgXfDMAk8xI1L4/j9m0LxTKY9dccCSD60e5KuVL2OD5/iNvK8zoROVXX7Q/aA6Hw4otPop9x4yYcYTQRn7MghdkRkkYPx5X1r1czE+s8HEifyDIysvLYUaDfG24c/SFOw6Hlxl1iQP+eHE/VYqkXOG8Ebnc4EgvR3EoBrlPxx8brukoWjj606DWq6hX41Xzg1QWYwZ2xA9TBhrRVACPS888QuuC6+tHtY+PP5n3C4X/7Sfuh8VxJI7xg77ExpF4+tOEgWs6CiGHw8FNZEyf2q4piO1GkAWFdKnXO9jHsnycm69sU/+pqgKvGUY3YfqPQXL47268uHGsJ4Vr2ZeKWDMQ2rrypoGinoFO8wTnMbDx973InzubFcgMD87x5vDbBT+jtTnneMPoGocjxNznDSXX8eP5HYd84dB5TgTXb9t2HwQFLV9YZTq64kXy2no4+41+QV0sr8CXMIfDjzfZO+NmfiaN3aRJ0pOeq7ye8EZrvrlp4GN2it2T/5wHnwY5HE92rtpK+S+eSZfaXNdeRBUjdnlto/BPmNDvqdSOfYdtrCIFctk1FymMQOb6Ue7flxf9mDyq3x+VT9Aw9uMw83Sj87v1bFAXM3rPkX27E8yC1wqHud44gxwOv/o4j0/68xpiRX4sv/5MagYe6P/A25ur/zhey3itecn/2uYaIbTnaHDH4eOuTw7H0/e1a121LQIi4D4CflcX95X3yJL4yNv5aJUROQpKYcrt9Zv3cIVr12/Cy/zI8QeIgpXzjnI6HdcfShvxMQv+MPMRH23waO8XbPSH//ryUdeNm3fs42FnuVxzxOP8xSs24u27/5peWI/HLDjKyB+3FWaEhPaHs35Yg/o1ygak4uhsSzMaSbH95nv9A72YExApyIZT8Pr6P/ZlcCb/H3wKH+7zsT9tNGnawP3QOP5oMR4fb5MFt4Nzt83oH/35qJX9QkZ07C/+UD4uPdM+rQupfafPXbRZu3Sr3Q/LwvmkwdlOZ1qOsHE7pB9+Ck2Gx43jJ0K57er4g/9hh8YY2KO5nU2E0z59PqCDNSngNk1QRvZri08+aIb+3ZrhtVL/c00eaNt5DLh6csSZ+zx3uOaNVKePvwRtRbnvdMdCYTqT0ogtjtTxAxc8Np1pueaoNoXL9HkrrY3nDz9tAGdacQp+xgnO3Tajuzdv3/lPUDrzJISjsq4Brse2q39I2/fve9ugOHFimdG/JztXmcFbtV+z5ju//r4HC5ZtQMPXy5trkZ94e5JzlXmG5GiqQY63zfnkHH3ntjO+sx+d+/+uH310h9Tv/6YPeYs21j7+9v6MxWtTpbJ+Twj2macG9Asv52yfw+HHN2i+fAE5qJ9z/0nPUaYPzfUpvPua5cqFkoCiicBTEPAowXv12k04bWmdbaJo4oXfuf9i4bzgY0VXYeHt42PtDBnnoa/fqCW3g3MPYf4bMcgX0/j4dnDPlqhXvUxwUeEUsA/MCHChfDntIzyORLlG5qNS1pF+23b9yVWYnLPsQZ/PBG32CrjM93r471PgKEq/bk3BR7ubdxwIdd6uotT5Y5TVPMLfsGWvfZGFQn3W+L7/ye/hw8D8yJaRnFMPUdDs2HvIsqC/qzNYQeHHkfBlqze7BoF9y9HNx6UPlMhl57YRRA9ZgItfcH39qPblMyOXTE6bXa7pmCdHi7hNd9sIDK75+NvH5ced8ehP8cb1r1v9bJq5TceZArh22pBy29Xdf+AnuhKYx76u/s5t+lctX9yO8lUsUwwcgaWopWkFtyksaCrBEUDG42NcZ9qQ1rcNM2fYbvNkhHXnk44vJi9Axz5foJ65uRr6UWtnFLumaQZFrFNk0ZPHEm3kue1rjg/2MZ9s8Lxs1mko+BIXw+jSpk4Ojk5uNCPFPJczPZMWtDt1OP4VLsH1W/Giz9tj3DWvO3fvg6N1+XJnZdYBT2tu3Lxt97ngOcO10zn7ybnP9b37D7hCvLhx7Q0rd57kXGVfsM0z5q4ER3prVnqZWVn3pOeqr/8xHbQdzHTOj2usHSvnn+b+5u37ubLOy4Wn9TCL2LFiBZrBgsew8Q74e1S/B0R6xAY/vvLbtn2BYnAUnh6+/tddHl887rzNNZn+dEHb5ozLMKcL2m/3H/j1mfNG2xnPuc6bK4vd3BjkPOTxwuOcgY87R4M7DkNzfXrSvmad5ERABCKPgEcJ3pTJk9ofuHlL/GwNiYX2rbyAlnmpMHdRumQhK7beNz/YB4+cBF+m4bbzUfJF/xecOEWPTeC/oM0XN+8YQXPWPJ7nG8GVXn3Bzvn7u79QpZDjKAZHrxh3yc+/gaPAE83j42IFc9MLnft+aWd9oAD4cvJCa1vHUWb+EPItatrbnT57EfxxYQK+Deyc5YH7QR3ti/kIeYUZ5Q1qC8sXWPijX+XV4jZZ8mRJ7Jqjcnwj3PVHxQa4LGjjzF3+2NMOmKMxHFFes3EHvUFbx627/QQ6Rz5pl8aAS1du2FEsZ94U2vSnHS7Xr7zoZx7BR+q3Dcs1v+7A0lV+4nbRil/tC0aVy76IrYYpR5H5lj37sGW3z8CZI0KTnuW4OraB+84+5DZdMH2NR7XP+ePMunOEiMcIXwZi/ZgfR8L5uJ43Fp9+MdO+Re7r+xB37z2wxxzj8BF+uZeL2OPCmY424ew/5l/Q3LDwx/vCpWtG5N9gEutYHjcoSriOWOc3yrdhi99TER7TazbutHatLHfJz5vwv4K5ULxoXlCY0o+zHFDolvF/6ejzr+fbNjNtJ3PMX7nq15a7RoSy33nDxI/C3DaiukXXYWA85rNw+QaMnbIQX4/obl/u/LhzEzjNYhhOF1y/1a78CoPs2/y8weTO+s27uELLt6rbNW3GU5rRZZ6TtMfmMUs7fgbyPOOxeu36Le6aJ0F+a+5wWiyuvbwceJpzlY/g+TIVy335xQLW3IL50j3puep8OnTOf7o1H3OTxePpxD/nwFlq+FSkcP6cLMK+YErOvCbMNmLYeroseLPMEVz2Na+NPQdPtKEUaDQzelS/MyL7JbhRdobRpU+bwr6o6xxsYF1/3rDd2tcXyJOdUSxfbkz+fpm9EeKxwL45+c957PUfBb5qntIxDs8/rumuGb/L5hjjucN95w0Xy+B+UJctyzNIlyaFufFYjx17D9tZaHhc0N47Q9qUeNw5yvzYXq5d6xGa61NIfc285ERABDyXgEcJXv4g8dErX0bgRYWuScfB9gWJFg2rWoq8kPFllK1GUNVp0QdvtR2I8q8UtS/DfGFGrub4f+byzTb9sWz1FpuG/gNHz7DbbXqMBEeI8uZ6Fpz2qGbTXsiaOb0N+2z8bPsSCEcIONLFKbs4H+879SvZiytfiOBFmeKt8lvdzWjKLXD0laMQ0z7vaYVRrWa9UeHNbvaFHWZ6/NQ5XPYX4dwPzjV64zXrTftdu+GyoNkB316m6QNnb2AQRQoFu/NHgX5OF9ffbpNvonMqJb75XsSMTrfzf8mllPmhZtyiFVuBL5FRqH+7YJV9/MypxijcGM5ph/hDRY7cJ4c5i9fizVrl7Ytq/DHmFEx8dE2WjMPRbw5YdW5d3/YZpwiq0qg7OH1SHyN8nsueKVTpmZfTsY1sA/cXrdhopzz6ceVGsE+D6+tHtY/HFt9c5ygQp6jjFFcpkiW2b4Qz/6rlSlgRw9F/igp+brV6k55W+FEscKYDxhvW5z3bPh5LXfqNBadx41v8w/u2BUdyeVxSCG4wo+mcxm7xyt/Qc/BXTGrXFGt2J4IWTrtZ2lY27TQEjdoNwOAPW4F28SyS5wvrVrJ6u4Ap6TgjCsUFX/Lq/G4988h+vbUnZlq+XMlzos+wyeDNG28KOA0WBQOPn3PmBpJ9xP5x3iySQf5Xm9k8OI0W86eQC6nfmP+4TztbkfSGOa+7D5gAnrM04+CoG+tN16ZJLVC8vdV2AL5fuBpv16tIbzMSuhW072/WeYjd57RhtI3ny6QLlq23fm+1G4gH3t54mnO1TtXSNi9X0yPrYRZhOVcvmWsCz88qjXqYlLA3mSWrt0XB8s3Bqb3oT6607eXLf9PH9DI3k9fwWv0uKF27I7yNMLYJXRavm5sGikCamnxs+qpedb8Xv3aYJzK8EQ+p33lD19Dw5PnOMnkz/cA81XLJ2m5mTJ/Gsq/+dk/wGl3hza44+NcJjBnQAcnNecRItGnmDTxvmHgj9Ez61NYmnOfx+k277DWZpjSM2/ezyXa/eeeh5kZ1pz3PeO7x2s42MA5vTjl7BbddHX8rZn7R2wxYJAO5k9kvv+2yxznjPeocdTgcIV4/QnN9Y/4sM+h1mf6e5VQbERABVwJerjuesM0XwXav/gZ8M//tuhWxavYIDOvTxjyO/Nf2kSOhG374AvMm9ce6BZ/D+SPU5u2a2LlyEnb9/DWYD2dZYJvoz8917jBhP0wZZB9rckqtZTOHYumMoeD0Uiu+/wzfjf3IPpLnSM6U0T1AP74QR/tK5sOXVrYun4i5X/XDr4u+QK+Oje2b7AzjSO0v80bZOm376Su0aVITa+aOsm+xU0QwTkiOX1ViXIoH1zjfjesDzlYx2vyg9O3yTkDQtDEfYpFpB22cAzz9N/jiD8v/ceogfGzSsP7d2zWEUwiXMzcHZPfzrOEY2a8duN60ZBzqVS8LvgDI9jE9Z2mgCGG9yHP1nJGGcyn7WHlA9+Ygu5++Gwa+fd//g2ZgmkE9W9o3//kGOx+VM5z1XDpzCAo97zfzBR95Pi69f1Psio/P2Wesw65V39hPsZIX+zS4vn5U+5hhyeJOvr4AABAASURBVGL5wOOA9d+0ZKydbYL+dBTE7HNOAzewRwtkNo/j5389wMbn8dPFCEHGo/kBj8mN5hho1ai6YfCh+dHvaMUyj53vx38MJ0e+KMRZAlh3toH9wVFg5hNR7o1qpe10aTw/er/f2E7fx7fSneXxeOCUfux73rBxaj72s7OP+DSAxwT7j/5OofxRp7dtP5PFV591Q+kSBUEGPF+5rvZaCeTLnQ28WeTsFp+ZGwPaO+bJ+awdrVy6ejNC6jfWrYx5esN+mWjybm3On1/mj7YmHgxzOjvCunS84TsBtG2uU6W03eY0czQFWTlrhK3j+oVjUKvyy+jR/i2QPY+VaaN72tHIpzlXs2RMa3myjXD5F9ZzlaPeUz//0NaVPHlMOh3rSsfjJV9uP3OO/xV8DqvmjADP699+/NLcOJZzKd1v84XCeWzdeH5zhppSxQtgszm3OZNGpbIvIKR+L2bynu5fl9+XTcCk4R/YG3+/XP9dli9V1LJcMmMIalR4CV8MfN+UNwI8p5yxaNLCsnkO8dipXaUUvhnZHewPfqCiYtliYHvZtp/NtZ37nFGH+2zzuCGd7fHD8477PK445Zozf9c1xfTiaZ9i+bfDzDEwESP7tUX8eHFtlEedo4wQ0nEYmutTSH3NfOVEQAQ8l4DHCV5esPjYl8KNb8JnSOc3Z2NQhHy0mdeM0jptSxnOkVYKO66ZD4WX05/7FCO8ENKPZVDgcN/hcIAjUw6Hg0HWMZx+dsdlwfL4g5nC37zAJchOGcQ6MU/6c7SF68c5lhVcXApaCj6aIrjmQf9H2XCy/BxZMxrxkdX8wMdzTWq3yY4/FtzhyIwzf3Jj+5iejuH0oyNX1pN+DofDTuFFQch9jkA543OfzuFwWMHIejrT0Z/O4Xh8esZzOubNOrA/2YfMj/usE9fsW4Y544fUPmc482DfMx+nn3PNmw7+aHPf4XDY2SoY35YRJza9AxzLZ3+7zgjAQMZ1cmQcjkaxfqwr83I4/j3OGD8iHPuEdePLgsG1M6MZeWPfs2w+AmbduO10PCac/ev0Y93ZF2wf18yX7XNd9xs+xYqlHuYmi7bGb9YqZ4UIz2fmw3KYhmvmQy70d3WsD+MzX1d/5zYf87OfuE+B4tx2OBy2v1g3OqanYxksk45p6JgH+TAe94M7/+gfnCO7oP48J8N6rrJsOnIgW6djPenIyLUc9inP66D+rnHYXh7/Tj/nzbpzn3UPrt+ZJ+vCuXa5dsZ3XTNvsmQ9OOpOMR5SXOc5xPRk7XD4HfPMg+1leVxzn9t0bDP92KfMl/t09GM+wTnG5U0Iz7fgwpme/Rz0HHWWxzXzZ7uc6R2OR1+fQuprZ3qtRUAEPJOAxwlez8SkWomACISGwOlzl0CbWT5Cpz0mzYdoXkPb0NL+9sGhyUdxHk3A1/8lseBMDx6dUqEhEJC3CIhANCcgwRvNO1jNEwF3EqAJwwNvb9CWnZ+VLVG9LWhDShtUPsZ3Z12ia1kXLl0F7VXZvi07D4C20dyWEwEREAERCJmABG/IbAKHaE8EROCxBGjnvuL74dbW9PtxfUBb5uEfv2dNhh6bWBEeS4Di9tMvvgVH0CuVfRGnz17Elp1/PDadIoiACIhATCcgwRvTjwC1XwTCmQDtIWlrSvvtkGwrw7nIGJMdbVJH9mtn7aJH9mtr1u0CZt9wJwSVJQIiIAJRjUCUEby0B/T19Ztf1BUyPxrAqZ+27vrT1TvU2w+8fex0OKFO4GER7967j3FTf0CPQX5zbjqrdzcEf2f4065D6o+nzVfpRUAEREAEREAERCC8CUSQ4H2yanLS9NrNPwJdxz5jwPkZOYcncxsxcQ6Gj5/FzUCOb0bvPvAXLl+9Hsg/tDvjp/2AXp9+HdroHhcvbpw4djaEQ0dOBqpbSP6BIj3FTkj98RRZhmtS18nknRnfvnPPuRll1+cvXgXnO46yDVDFRUAEREAERCASCHiU4OV8js/lyAxOIzNmQEdwbk3O40guTepWQpP6lbgZyFHwctL/QJ5h2IkXNy7u3oscIcQvW4WhqsFG5ZRXzg9nuEYIyd81Tli2OaLr/Hwu04XUHwwLjWN+/NCBt8snSEOTLrRxPhr6NSbOWBwQ/cQ/51CpYTfwC3kBnhGwwacQbBPX4Zn97Tt3bXtmLVoNTjUWnnkrrwgmoOxFQAREQAQinYBHCV7S4Mikw+E3ZyP3OWE613RXrt7gChRLFItBxcu5C1dw5twlG8e54BeNjhw/DacAoRj54/BxnL1wGbfNiF/2ZzMgd44sNjpF0YFDxwLiWk//BeMeNKOo9+4/sOVfuXYDV6/dNHncBT+1yX2uGZ1f6aKpBevJfadj/of+PmXTn/jnPGiKcfTEGfvlN2ec4NY0T2B+nOLJNZxtYXp+bjQ0/iw/uPbdvHXHfuGK4cyTefHLSKwjt+lWrtuKWYvW2Hg0A6Gfsz+4HVIdGUb3yajp9qtbL1RpY9fON/hffaMTyJRxXB0ZbvD/NK6rP7eDC+PLO66CfMAHLfDTL1vAL8Txy2Ctug1H/27N7Gg483icY9/xS31sK0dVg6sjeTnb41wXr/YeSlZvh+nzVvynCObBT+/y86dM+58IxoNtplB3NdHhcV29yYfgjU3HFm/AdU7R3QeOgPUzScFjnV87W7Bsvf1SGrfZjwyTEwEREAEREIHIJhCZ5Xuc4CWMnfsOY/SkeRg85lsMHfs9OA1P6+7DMenbpQwGxdOBg8fQ97Mpdp+Lyd8vx5hv5uO1Bl2xces+emHeknWYMW+lXbfpMcIKq0ZtB+LdD4bjnY6f4oMB41Ewbw7YLzyt3oI5i9di2LhZ/zGPoLjuP3Iqdu//C1UadbfzjE6ZtRwv12qPdZt2Y86Pv9j8Nv6+D3v/PIp+I6bg86/n27qzIhSDXfqNxZKfNxn/eZgw40fMNuLx+KlzmDZnBSgs+Zi6ZbfPGD2QY34tu36GXabs9/t8gc9M/Rjh8NFToP+KtVsx5Mtv6WVdSP4Ub8G1jzcNr9btjDY9RqJRu4GYOf9nMN7k75cZvxFYuW4bHjzwxlRTT7af9T11+jxc+yOkOtoK+S8+7twEW5dP+I/jV6E44b5/NLvijQP76BtTB+vhsggujG1u0KY/NrgIZIrCKaN62r6v3byP/eJWuVeKuuT06E2+Cc/jo8fACXi7wyC8Vr/Lf26msmRM95/2ONvYtH7l/xTw4eCv7Fv1ObJmRI9BX8FVoDMybyjmL12P/HmyYfrcFZi7ZC29wXTp0qTEr7/vNf3wk71hYsCKtb/jrbYDzPFzjrtY+9su019bbb77Dh7DwNEzrL8WIiACIiACIhDTCXik4OUXzupULYU3qpW2n/pNkyo5WjaqHtBXnJKHwoefRXV6Nm9YBYN6tkSzN6tYYerj44tx035A3Dix7Zefzp6/DI6SfmSEF9MsmjoIoz/pAH5hiZ8JPXbqrBUOfbu8A35JiHGcjiIwQbx4uHjlOig8KKz46eP2zWvj2wWr8M+Zi+A8o/yyFEcaO7Wsi3fqV8KWHQdsFhTdqVMmR9umr2Ps4E54t1ENVH71RWTPkgFsQ77cWZEreya8U++/Jhv9R0wFP7HML1bxc7ZT5/yE33f+if4jptnPF/MTxgO6t7DlcBGSf0jt49e02jV73ZqRUHw2fqMCfHx80LHlG6j+WknsMjcf/BpRpTIvoJwRjKxvNlNv1/7oH0IdWR+n40jjkWP/4G8zos1RaVfnjONcb99zCLUqvezcDbQOLmz3/iP2U6eBIpqd6zdvgTcb8ePFAfvfeIX6733Th4zcs30jLJ05xPKZbW5s6Od0fGrAY5FPEFzbw+1r1285o9k193n8tWtWG+VeLmI/Dbv4599smHPBG7SeHd7Cyy/kxwdtG2LG3JX26QGnnRozoAP6dW2KFeYG54effrX+d+89sJ9hdab38fXFqH7t0KdzE3ssvfpSYXv+OMOjxlq1FAEREAEREIHwJ+CRgpd2uRw9y50jM3p1bGxb7YADtEuF+df7/cZ2BGzctEVmL/BfkkQJwUfefxlxxZD33qkFitMfpw1GoedzwMvhQIpkSRD0c5KN6ryGK1dvgqOod+7dZ9IAt3rDDrRqXB1tTV6cW7Th6+VtWMuG1UAzB+44P9dZoXQxHP/nHL5buMoIR18GgaOzz2XPZLe54OcwuXZ1FNmlihd09bIjeTS/4GdeGUAu+XNnw59HToCj4LwxoH+C+PG4grcRqsH5M/BR7SOTDOlSMRr4qc/XK5fCml93Ys3GnfjvvBg2mukNh+0PPvoPro4cdYXLvzmL12LQ5zMxcNR0DHBxg8bMtP3lEtUKwuzPPuPqFbBNsRg0rG71MkiRPElAHG7QZKBppyGgYP1hyiAzcr3S3pwwLDTOyTRxoviWSdmXioBmMK5paSoxZOx3GGRGUl3bxO3Vv253jYo//jqOLBnTBvjxE68cXXd63DXHHDmyj+nHz+tSSDtNdHjTx+PmhUK5zQ3dEXtTxpuCeEbMMz5d/RplETduHG7attatXtZuayECIiACIhAFCajK4UrA4wSvrxml8vb2CWik83G3jxFzvv7TktF2lAJ24+97rQjhZOzOBHfu3jNiNo4RF+lA20c+BmYYBRhFEO0ouR/U0URiyugeeCZ9Kvy6ZW+g4Dw5s2D+0nXWtpcjy1v9p0D7cspCfDGoI9Zv2Y2lqzfbNN8u+BkbNu9Bveqv2n0ucppH2L/8ttMKYNqEbjCP3ileTp+7aEUtRwnp7xQ3TEPncDhQvEhek/8e7tr0HCHNa+qTwwhCZ9tu3b5jwyhWg/Nn4ke1j0woXBmPrvuA8YgdO5Yd0XX6s77nL16xI4u0GXX2h8MRfB1dBT7z5M0CX0IM6r4e/gESxI/LKEFcYKlN22feyPhFChxGP2c9uU03etJ89Gj3FiqWKQZ+4Ysj8LSfddo70yab8R7n2C+MQ3HKvuC201HAsv5B28T9OlVLO6PZ9fPPZcX2PYcDxP3v5hgqb0bMfcyTCJrM8AaMNzN7//jbxt9hRtZrVHzJvqCWMEF8+/SBATR/edEcE9ym8zXpuXZ1HE3euusPvFA4t6u3tkVABERABEQgxhLwKMFL29v1m3fbz2ZSnDh7hUKVj5P5I75j72GMmbwAfPz7QuG84EtYFBKzF/1i7WmXr9li0x87eQZ8SalNj5Fo2HYAfvrld9Ac4Zvvl4IjZ0HtQylCR0+ah1ixYv1HKHRvZx4vz/vZ2u8OG/s9ONrWpd84sK5ZnkmL8ka4dB8wAcyTQor2uEtXbwLFFW0yG9WpYG03a7zzIWgTypePchgRTCFTp0Uf3LpzF79t3YdG7Qc6mxyw7v9BM2w14mjUV3PRvvfnaFq/kqlfHnRt08COlL7XcxQWLv/VlkUb0JD8Q2ofRynJ+hczmrtqw3Zb7q3bd02eG/CnGZWkP8unyPp5/XZ07T8OFy5dgWt/hFRHm9kTLDjSOeabBdYWddrSerXEAAAQAElEQVTcFfZGg/bFfAktaBiz52N+cl5mbjpoU02/kf3aolLZF7hpHUdO503qD46c0qN6k55mFH41Nx/pqr/dE845jmtVeuWRcR8VyFF6moNUe7uHtY1mf7xmngbwSUSD1v2toP2ke3P0HPQVOCXfx8MmW7OEWLG8QHOGwWYknOYs12/cwqsvF7FFfTVzMWju8PV3S8Bj2nqaxfxl61CvxqtwOBxmT38iIAIiIAIiIAIeJXiLF82LNfNG47cfv0T1Ci8F9A7tTKeM6oE1c0dZs4SvhnVF/ZqvgqKmdIlC+HXRF5gwtAteebEAlswYApodcOYFPur+7cex+GbEB+jQvA44Wjy6f3vsXv0NmtStGJA/N2hb2apRdXwx8H0raOnndAXyZMP6hWPw3bg+1k6YgnVYn9aY85URUOlS2ReimCftdt9tXB1jP+2ETz9sZdPQDjlt6uSY//UAzPiit6lzOztTAOvCUervxn1s21S6REEsmT7EWWTAmm2nUKNt7Yi+bcF6MpAv2v22eKzNj3XZ8MMYaxcakj/TBde+Z9KlxqKpg0FuZV8qzKwx8bNutv6cGo7mAC8UzgOal6yZOxITh3YFRytd+yOkOtrMnmDxXPbMtj/Zr7RdpikLWfGYCBrG7MuZGw6Gz/mqH156IT+9Hus6taoLmis8LuKCbwagX9dmZrS4oTXheFz8R4VXK18CS2cMBW2uvzfHEkUwuS7/dph9IsFt2gvTjGfZzKHWbpj5cbq+zwd0RNVyJexUfc4R8XfqV8aOlZNAW/SsmdIzqn3BkDeDNSqUtPtaiIAIiEDMIKBWisCjCXiU4OUj+TjmUXqcOLHti2bOqjscDlg/488RrySJE1obRoYzDcUjbRcZ5kxPkcRwvq3PkVRu0zEfpuGa+06XKGF8m6czndPfuU5gHrvz0bhz3+Zh6upwOKyNJ/fpHA6HfVHI4XAEelTPfF3TMx/Wm/ly2+FwIGGCeNwM1nFUOWg47X6ZnuXykbgzYXD+IbWP9bLMTFuYD/PgvtMmmfnTj47cydjhcATqD4bRBVdH+ofVsQy2h3zomJ4js6xXcGH0Zzym4TbjP85xFLuqEaAhxaPJBsN4XLkyoN/TOOZFTq550DTCuc8+SJ8mpXnSEPjUZPt44+SMxzX96NhucqHfmo078Fqp/4F9xX05ERABERABERABIPCvqoiIQDQm4No0vnhIcenq57pN8w3ucyo5mqlwOyq4MiUL26cZUaGuqqMIiIAIiIAIuIuABK+7SKucKEUgRbLE+OqzbvZjDwhxrgrPaxJHe4M+vfC8WqpGIiACkUxAxYtAjCMgwRvjulwNDg0B2s1yPlw6V5OY0KRVHBEQAREQAREQAc8iIMHrWf3hObVRTURABERABERABEQgmhCQ4I0mHalmiIAIiIAIRAwB5SoCIhD1CUjwRv0+VAtEQAREQAREQAREQAQeQUCC9xFwQh+kmCIgAiIgAiIgAiIgAp5KQILXU3tG9RIBERCBqEhAdRYBERABDyQgweuBnaIqiYAIiIAIiIAIiIAIhB+ByBC84Vd75SQCIiACIiACIiACIiACjyEgwfsYQAoWAREQgYgjoJxFQAREQATcQUCC1x2UVYYIiIAIiIAIiIAIiEDIBCI4RII3ggErexEQAREQAREQAREQgcglIMEbufxVugiIQOgJKKYIiIAIiIAIPBEBCd4nwqZEIiACIiACIiACIhBZBFRuWAlI8IaVmOKLgAiIgAiIgAiIgAhEKQISvFGqu1RZEQg9AcUUAREQAREQARHwIyDB68dBSxEQAREQAREQgehJQK0SAUjw6iAQAREQAREQAREQARGI1gQkeKN196pxoSagiCIgAiIgAiIgAtGWgARvtO1aNUwEREAEREAEwk5AKUQgOhKQ4I2Ovao2iYAIiIAIiIAIiIAIBBCQ4A1AoY3QE1BMERABERABERABEYg6BCR4o05fqaYiIAIiIAKeRkD1EQERiBIEJHijRDepkiIgAiIgAiIgAiIgAk9KQIL3ScmFPp1iioAIiIAIiIAIiIAIRCIBCd5IhK+iRUAERCBmEVBrRUAERCByCEjwRg53lSoCIiACIiACIiACIuAmAh4neN3UbhUjAiIgAiIgAiIgAiIQQwhI8MaQjlYzRUAEohwBVVgEREAERCCcCEjwhhNIZSMCIiACIiACIiACIhARBJ4+Twnep2eoHERABERABERABERABDyYgASvB3eOqiYCIhB6AoopAiIgAiIgAiERkOANiYz8RUAEREAEREAERCDqEVCNgyEgwRsMFHmJgAiIgAiIgAiIgAhEHwISvNGnL9USEQg9AcUUAREQAREQgRhEQII3BnW2mioCIiACIiACIhCYgPZiBgEJ3pjRz2qlCIiACIiACIiACMRYAhK8Mbbr1fDQE1BMERABERABERCBqExAgjcq957qLgIiIAIiIALuJKCyRCCKEpDgfUzH7T5wBJu3H8DDhw9tzJ37DmPdpt12WwsREAEREAEREAEREAHPJyDB+4g+Wrh8A9Zv3o2NW/dh1qI18PHxxZTZy1G8aN5HpIrxQQIgAiIgAiIgAiIQBgLUFxxQm790Pb5d8DM2bNmDK9du4Padu2HIRVEfRSDaC97LV2/g5q07AQwePPDG9j2HsHXXn/D19Ru1ZeC1G7essD145CR3rVu1YTsa1CyH+jXLYsuOP7Bk1SZUK18S8ePFteFaiIAIiIAIiEDIBBQiAo8ncPL0ebzz/qeY/P0ypEiWGNmzPINfftuFV2p1wMz5Pz8+A8UIFYFoLXgPHz2FWk17Ye8ff1sYFLjNuwzDDz/9ih9X/oYu/cbizt37OH32Ihq+94kVwSMmzMb46Yts/Dw5s2Dtpl3mTmsv8ufJhnVmu2KZYjbMubh9zwdyYqBjQMeAjgEdAzoGYvYx4NQFYVnfvXcfrbuPQK7smTBmYEeUe6UoShbLh487N0GVcsXhcDjCkl2ExN1z4EiggcMIKcQNmUZbwXv95m38vG4b0qVJGYBx1/6/kCZVcgzo3ty6+PHjmlHdvVi6ejOa1q+MTq3qYuKwrvhuwSpcvHwN771TC+lSp0CenJntY4VWjar/9+Cjbe9TOIQibZxYDsTfvFpODHQMhPEY4LkTmnMsKsRhW3Qd0HVQx0DYjwGeO245xwPURug3ps1ZgeOnzqF9s9r/0RfUHFkzpw/IjO8S3bv/IGD/cRt8cn3r9l0bjQN+/5jBPVcTCedgoI0QwsLbxweDPp9pNNC9EGIE9uZTdNcn5YFDI3cv2grepIkTom3T15E6ZdIAwpt3HEC+3FkD9vPmehaH/j6F9Zv3ILcZzWWAw+FAwedz4Mjx04gdKxbKlCyEtEb03jAC+uiJsxg5cQ76DJuMy1dvMDoSxo8d4S5ObC/4rF0hJwY6BsJ4DPDcccc56o4y2JZofh3Q8R3G41vHQ+h+F3nuuOMctaIgjIuf129D/tzZkCrFv1rFmUXuHJlRobTfU+VFKzai2ts90Xf4FJR6vQNGTJhjo635dQcath2A93qOsm6d/0v1X81cjJdqtMPKdVtB/dKy6zBUfLObGeTbh2vXb6FD78/BJ94Ll29A3VZ90bj9ICu8baYui0/HfIt9B4/asqs27oHZi9agdvOPbPw/Dh/HstVb7D7zo9B9o+XHGD1pHr6cvBCM333AhACxzHy4z7hteowAbZRdiorwzWgreJ3keFfj3M73XFZs3fWHcxe/7/wDpV4sgML5cmL7noPW/765e2InFjKi13qYxfhpi9CqUQ1MnrUMXVrXR9ECuczo8VYToj8REAEREAEREAERCDsBjp5Sb2RIlypQYpo53L5zz5pccs1R0yL5c4L+Bw4ew8AeLVG6REGjWw6hw0djMLJfO4wf0hmvV34ZbT8cZbTNn2hlnkinS5PCDGw/RBIzADhp+AdImCC+LSdWLC+kT5vSCNG7NrxXx8ZgGe9+MNyGuy5av13T7i745hMsnvYpGtQqh2KFcls/DhpWLV8c8ePHw6e93kWihPGRLGli/G0GDAvly4H3W9a1tsjDJ8zG1Ws30azTULxmBHzrJjXtYGOvT7+2+bhr4eWugsKlnDBmMunbJfZuhjMr8M7j5RfzI0vG9GjQur91iUznF8ibHS0aVrWjvO16jUblRt3RunGNgBfTtu0+iBxZnzGjvMmtHw/OHXsPg+nCWB1FFwEREAEREAEREAFLgE+Rn8ueCWfOXbL7zgXNMbv0+xLFKr+LSg274fddfxrtkg7PpEttBSefPL9QOI99kb54kbzIYMQr05Yv9T8rapeu3mTNIxInTEBv6yhykyT220+cKAFeeiE/UiZPgjpVS4ODeO2b18apMxfAF+hsAv8F03EzTpzYcG6/XbciOKMEddV+I8BLFS8I5pkpQxoUNJqqSIFcoF+lsi/grdrl7QDhlp0HbHk+Pj52JLlrmwaoW60Ms3ab83JbSZFQUJN6lbBj5SRrCJ4za0ZrotCrYyN89Vk364b1aWNrlTxZYkwdbR4VdGmKpTOG2gPKBpgF5+BtVKeC2YLNh0PyDV8vh+fNaLH11EIEREAEIoGAihQBEYj6BMqULAzqirMXLgc0pkbFl/D5gI52/w0jCl824tTumIXD4TBLvz9vbx/w5Xznk2wKaI4E04TBLwbg7ePr3HzkOme2TDY8XtzAs1DRbpgBHAHmmi5LxnQo+1JhcLrWeUvXoUaFkvQO1j2XI7MdYb5/39sK6rIvFUG18iWsK1+qaLBpIsozWgveeHHjgI7TiDnvTAgyWdJEZtg9ETcDubSpkyNB/LiB/HjXwzzomdLcDdWrXlZilzDkREAEREAEREAEnopA/RplwZHRAaOmWxMGZ2ZOzUL94vS7fPU6aHbp3H/ViM7LV29gx95D1ouzTvG7ARTR9EiZIin+/OuE/YbAVjNKfOPmHTx44GPNGBh+994Da9bA7c3b94PCmjqI+07nLP/YyXPYsvMPXLh01QY1NgOBc378xYxOX0TmZ9JaP+fi6rUbAdO+bvx9rx1FdppBTPp2sS2TdsRfTF7gTPK061Clj9aCN1QEFEkEwoHAxXv38d2Jc1h7/kpAbjceeGPF2Us4b8KcnqMOn3Ruai0CIhDFCPx18zamHTuDA9dvhbrmu6/exKZL1wJExi6zv+7Cv9eJUGekiNGSwDPpU+P78R8bIeqNN1r2sS/G84Wvll0/A0dAy75U2LabJpqczeH7H1bbF8foWe6Vovig7ZvoPeRrDB37vU3f+u0aqGlGiBn+RtXSNm7ZN94HX9qnH99FOnz0H25a4Vm9yYegOefKddsw+MNW1t91QVMFjsi26TEC85esQ6oUyWxwif89j2czpTMjtf8d3d2wZS/qt+6HtzsMRopkSdC0QWVkSJcKA3u0wMQZi/FClTb4YMB41Kr0ss3LXQsJXneRVjnRloDvw4f4+MAxvJYuBX46dxm/GNFLv257jiC2lxd6OjNHsgAAEABJREFU7v0bd3x8rBjOGD9etOXg0Q1T5UTgKQkcu3UH04+fRYV0KTHwj+M4d/f+Y3P84Z8L2HDxKjZfvo5ZJ8+D14Xpx8+geEo/0fDYDBQhRhDg02OaWs7/egAqlX0RNSu9hK+GdcWYAR3B7wEQQtMGVbBr1TdYMv1TO2JKPzpOqbps5lC8WascmL5jizes/S7DaBrx+7IJ+GX+aHRoXgfrF47BvEn9QbthhvMltkVTBlmhy5feUodwXA7p3RrrFnwOmoF6efmZVDgcDmTJmNaI8v8xq0COAnnC0C74esQHVpDT1IIRalcphd8Wj8Uv80aD7c2SMR293eYkeN2GWgVFFQJ3jTh1/TG77+trR2i2mh+t4Npw6OYd3Pb2Qdp4cfFyqmTYb0Z//rhxG88mjIfyaVMgi1n/ZeL8eOYi3siUJrgs5CcCIuCBBE7cvmtFKqv226XrSB03Dp5JEA/PJU6AI0YA09/VHbxxy14rnH6/XLiKepnS4o2MabDdPHpecuYSKqdPhfix9NPrZKT1vwRoUsmpUykE45pj7d8QIE7sWH4uTmzwBTLXMJo/cLSV6V39uc2ZE5yC0xlOfzNOg/jx4lj72mRJEtErREeRG1QMHzh0zIzapkZCcz64JqTNr5c5vhnfaQ7qGs6ygppNuIZH5LZXRGauvEUgqhG4/sAbHXYexrxT523VefK23XEIN4yg5Q/cR/v+hg+vFDbUb5EpQVxcvPcAow6dxD4jdl9NkxzpzYXk6K27+MPsnzUjQb8bsVzf/PDFMnfFfqm0FAER8GQCP529hDbm3L9nbnhZz9xJEpgnOFfw4+mLuGP8nk+SkN4BbpkRs5OPncWQP09glXnSw4BcRhivM6L314vXkNfE52hvBXMTzDA5EYhMArfMDdtlcxPGqdHCWo/la7bgnfeHgPbHQdPeMPnSPjeovyfsS/B6Qi+oDh5DYI4RuulcXlzcYS4Isc0jnIrmMeabmdPh8M3bdgTXtcKJY8dGk6zp8fP5KzhmRG4O8yOXyoz2fvx8VhwzI0QfPJcFFL8lzOivazrP3VbNRCBmE9h/7SYu3/cOBOF/KZKiYLJEmPD3aWQ0o1rJg4zAlUyVFEML5EDxlEnAm1wmfi9HRqQ31xOK5ds+vmiWNUPA42aGy4lAZBDYtG0/xk9fBM7T26zTUBw9cSZM1Xjg7Y2ubeqD8/C6Jpwyazk2bt2Lg0dO2A9b+Jhj3jU8srcleCO7B1S+RxFome0ZULA6K3Xy9j3cNKO7zv00Rsjuvxb4hRU+xtx+5QamFMsDjgZ9fdTv4pE5YXxUMY8vKaIbZE6LYQdPGHcc8/+54MxOaxEQAQ8kkC9ZYryVJV2gmi0w5y1HaT/Nnx0rz17Gb5euBQpPYQTwPiOUD9y4jVrPpLZhfKJT2jzxobkTryO8IeaToH77j+KSy8usNrIWnkkgGtaqZLF8oN3vmrmjMOOLXsiWJUOYWlmz4svWZjhoomZvVgHzpPti0PsB8/YGjRdZ+xK8kUVe5XosAZoxPPSvXSnzY3XP9yHWXriCC+YHigI4Q4K4NpQvsdw1d7B/XL9tR3E4MtzUjPRevP/AhnNBMZwodiz8aX4E85hHot1zP4s5J88xSE4ERCAKEdhlnvZkTRQfhZInxqtpU1gzJr6Exqc+bAavG8vOXsJVMzK853rgm+JJR0+juRndnWXO/c7PZbZ5rDrvN70T08qJgAhEPAEJ3ohnrBKiEIGfz13GCuNoa0c7vFRm1GZS0edw34je/geO2ZaUSJnMvsjSfudhLD17CaVSJ8NBI2hnHD8L2uo1NKO5NqJZTD521jzGTG8F8R4zMrzfjABlMSO/Jkh/IiACHkqAUwp+vP9vW7uhf57ALfMI942MafH9yfP4/sQ5I2ofoEK6FPbFtfd3/YW/b96xpgq8oX3TnP/rzv877Rhfds2WKAF4QxzXywu06+dUZfmTJrT5ayECIuAeAl7uKUaliEDUIFDWjOhOeyEvpr3wPMqYbdaatnreRvDyhbbPC+e0b1h7ORz46n+5UTNDKtBed0LR3KiULiV653kWuf3feOXIT2kjhpPEjm1EcXK8ZkaFjty6i77PZ4X+iYAIeC6BJHFi40NzLi8omQ898mRBInMOc2R3bJHnUDF9SgzInx0JYsVCrsQJMcHcEGdPnAB82sMW8dpQLGVSblrHF1adN8FDC2S3L7bWy5QGNJtAtPunBomA5xKQ4PXcvlHNIoFAHDMCE9/8kMWP5QVuH711B+/vOoxDN29johG4Wc1IDfz/PZMgno3jv4u08ePaUR7nPn8Mq2VI7dwFX1qr+Uxq8CW3AE9tiIAIeCQBCtr45lrAtbOCtMnlUx/nPtfOJza99h1Bu52HrKDlUx+G0bXLmcncJMfiJnhzzGnKJHYtDi3CSODCtTs4delWqN3Nu/fDWEL0ju4VvZun1nkagahWn0xG1I4slBOdcmW2IzpRrf6qrwiIgHsIfFYwJwbky4bB/qO/7ilVpcQkAtuPXkS3aZtC5QbM3Y5z1+7GJDyPbasE72MRKUJMJsBRXo7qxGQGarsIiMDjCfA6kTJunMdH/DeGtkQgTAS8fXxx5da9ULmrt+8Bzrevw1TKk0e+d/8Bbt8x5T55FgEpj586h459xmD4hNkBfk+7IcH7tASVXgREQAREQAREQARiOIHRk+bhs/GzwoVC5mfS2nl+w0tAs1JeXMh5KAFVSwREQAREQAREQASiAIHmb1ZBm7drhljTm7fu4My5SyGGuwZ4eTmQPGliV6+n3pbgfWqEykAEREAERCCiCSh/ERAB9xK4f//fOeWDK9nX9yEeuH6YKVVyJEgQLyAq56YO2DEbcxevxaG/T5mt0P0x/9DFDF0sCd7QcVIsERABERABERABEYj2BK7duIUu/cahfe/Psfa3XXjwwNva0tJk4e0Og/H3iTPYuHUfqjTqjnYfjkKp1zvg19/3om6rvug3fIrlM3/penw09Bs0bj8IFy9fA21yx01bhKFjv0P3ARNsnO17DmHwmJmmrLFg3vQ8eOQkOn38Jbp9Mj7Aj/7h4aKR4A0PHMpDBERABERABERABGIugX1/HsWZ85fwUacmyJwxLdZt3g2K08SJEoCjvp+MnIYSRZ9HxvSpkSdnFnw//mMUL5IXTetXBkdlKXBPnj6PQT1bgv+27zmIZzOlw4tF8qBHu7cwrE8beqPPsG+QNHEiZMmYDpO+XYL1m/egZddh6NWxMYZ//B7qVi9j44XXQoI3vEgqHxEQARHwFAKqhwiIgAg8IQGK2QxpU6Jpp0/x0PchfvrldzR+owJavlUNsyf2xdTRPRErlhcSJYyP/HmyI1OGNIgTJ7ZxfvNNp06ZDO82roEVa383I7tnrQgOWpUjx/7B3Xv30b55bXRqVRf7105FsqSJbLS0qZPbdXpTB7sRTgsJ3nACqWxEQAREQAREQAREIKoTOHriDPp2bWpGWMti2twVyJ4lAxb99KsVqLTL3bBlr20ipyF7+NDXbnPBadN8zf6t23fRrNMQpE2dArnNCPBD/+nRvBwOXLpyDSf+OYdUKZLi3IUr2LRtP5OCI8K+Pr64fPUGKIbpeffufdCP20/jnGm9nBtai4AIiIAIiIAIiIAIxGwC/5y9iI+GfG0E6WW8Vup/qF/zVStES73eEV37j0PiRPGtUN257y98/8Ma7Dt41IrY7xeuxs69h/H7zj9w+txF8CW1e/ceYN6StVbQlnulKD794juMnjQfSRInQr9uTdGy22fWznfeknXInzc7WjWqjppNe6Pn4K+wZccBbNq+H05R/LS9IsH7tASVXgREIIoTUPVFQAREQAScBEr+73kM7NkSH3ZohDIlC4EmCrMn9MXi6YMxsl87FMmfCy8UyYNNS8Zi0mfdkDfns+C8uVNG9cCauaNQukQh/PTdZ/io09uYMroHJg7rasNrVymFVbNHmDzaWpOIetXL4rcfx2LC0C7o/G49xIkdy5o3/DJvNAb1aImxn3bGsplDUbJYPmfVnmotwftU+JRYBERABERABERABCKewDMpEuLdCnlD5RqVyoW4sZ9A4plmxI0bB8mSJEL8eHHNnt8fbXbTp0npt2OWsWPFAh1tdxnmcDjAbTru0743YYL4AXFMEvvntNO1O2bB/cSJEpitf//Spk5uBXGC+HHt+t+Qp9vyerrkSi0CIiACIiACIiACIhDRBIpmT4M3SmQPlav5QlZkTp04oqsUpfKX4I1S3aXKikCkE1AFREAEREAERCDKEZDgjXJdpgqLgAiIgAiIgAhEPgHVICoRkOCNSr2luoqACIiACIiACIiACISZgARvmJEpgQiEnoBiioAIiIAIiIAIRD4BCd7I7wPVQAREQAREQASiOwG1TwQilYAEb6TiV+EiIAIiIAIiIAIi8HgCD69dw8NL50PtcPfO4zONQTEkeGNQZ3t8U1VBERABERABERCBYAk8/PtPeE8dFzo3ZxoeXrsSbD4x1VOCN6b2vNotAiIgAiLgsQRUMRH4DwEfH+DmjdC5WzeBhw//k0VoPDZs2YM2PUbgxD/nQxP9sXE2bNmLxu0HYdWG7Y+Ne/fefXwyarqN/9jIYYwgwRtGYIouAiIgAiIgAiIgAtGVQN5cz2L/wWN44O0dLk0sUTQv4sePiwcPHp8fv+5WsUwxXLh0NVzKds0kxgleX9+H2Lz9AGbMW4lzFx4/3L/7wBEb/6H/ndLOfYexbtNuV4aRtK1iRUAEYhqBP5r2hpwY6BgI2zEQ064TT9ve1CmTIUWyJE+bTUB6fm44aeKEAfuP2wjPsl3LinGCd9GKX3HqzAUUKZDLDtm7wgi6vXD5BqzfvBsbt+7DrEVr4OPjiymzl6O4uVsJGlf7IiACIhDRBD6YvglywTAQFx0XjzgGIvq8jLb5+w/0BW2fcwDQ6X/7zj3cv//AuRvs2pvmGMGG/NfT19f3v57h4BPjBO8vv+1EhnSpkD93Nly7cQt37t63GLlNYXvwyEm7zwXtTRrULIf6Nctiy44/sGTVJlQrXxIccme4nAiIgAiIgAiIgAhENwKxYnlh9o+/oHbzj+zg4LXrt0DR+sXkBWj74Wj0HvI1fM0T8w1b9qBMnffxxeSF6DFoIkq93gF/HD5ucaxYuxWdPv4S734wHKs37LB+XGzfcwiDx8xEl35jMXrSPHrhyrUb+GjoN+j16SSbxnqG8yKmCN4AbAXyZEefYd9gza87UKLo80gQPy5On72Ihu99gq27/sSICbMxfvoiGz9PzixYu2kXNmzZi/x5smGd2aZtiQ30X1y79QAR7e498NVjTD3K1THwBMfAvQc+5vy8Hy0c2+J/2dFKBEQgDAT4GxrRv9PMPwxVihJRixd5HrMm9EXcuHEwedYyUKjmeDYjRvZrhx9++hUXL19DqeIFkS93VqRPmwJDe7dGtddKGq2024resVMWYkTfthg3pDNoF+xsNDVY0sSJkAeZ3skAABAASURBVCVjOkz6dgm27PwDfYdPMXkVwOAPW6FHu4bOqOG6jnGCt0m9SogTOzY6fDQGVcqVsDCXrt6MpvUro1Orupg4rCu+W7DKduR779RCutQpkCdnZty+cxetGlWHw+GwaZyLBHG9ENEudiyHHlc94nGVHvHqEW9Ix0BsM0qRIG5sc45Gfce2IFz+KRMRiFkE+Bsa0b/TzD+6Uc2aOR3iGbFb5dXiOPT3KRQvkhcvFsmDBcvW26Y6TRu8jC7KkjG99UuTKrl9er5p+34UyJsdHCmOHSsW0qVJYcOPHPsHd+/dR/vmtUHNtX/tVBQrmNuOAOfNldXGSesf1+6E4yLGCV7eRQz/+D3079bMDtNfv3kb6zfvQW4zmkuuDocDBZ/PgSPHT4OdVKZkIaQ1oveGiXf0xFmMnDjHjBBPxuWrNxgdcePEinAXyyuwyIb+iYAIhIoAz524cbzMORr1HdsSqkYrkgiIQCACPHfiuuG3OlChUXzHx8fXCNfbthXHTp01uig7aPLZue9YOxLLAF9/G9/7dvaFh/TCPSNmEyaIh4zp04Ci956/be+dO/fA+DQp5YQBm7btt/FPnj5v36t6NlM6bN5xwPrdu/cg3GaIsBn6L4IVvP5h0XK18fe9yGLA1q1eBs9lz4Sr126icL6cZqj+oG0vDa9pf1LIiF7rYRbjpy0yo7s17JB+l9b1UbRALvy8bqsJ0Z8IiIAIiEB0JFA8V1r0b1AMZZ7P8FTNez5zCjQvlwdJE8Sx+aRLlgAD33rRbmshAp5KgGYMA0ZNQ/+R03DYjO6+U68yOPB37OQZTJyxGJkypMG4qT9gzcad4OxV3y74Gb/v/BOLVmzEr1v2IluW9Mj+7DOo0qi7NVc4e+EyZv2wxg4W9uvWFC27fWbn2p23ZB2eSZ8a3ds2RP8RU9Gu12jMWfyLnUWLeYYnH6/wzCwq5NW26esYNHoGvlu4Gq+8WBBZMqZFi4ZV7SgvQVc2ndO6cY2AF9O27T6IHFmfMaO8ya0fxfCOvYftUH1UaK/qKAIi8FQElDgGEiiSLTXaVMyH7zb8hQ9eL4wc6ZM+EYWi2VOjT93/IVH82BjfurTNo9cbRbF023G7rYUIeCqBWRM+xrghXdCheR1rs8tR22KFcuPHaYPRzzwh/2HKIAzo3hylSxTEjpWTMGZARzB86cwhmDn2I+TKlgkTh3bFrPF97RP1uV/1x4wvelmhXK96Wfz241hMGNoFnd+thzixY6HsS4Xx2+Kx+KxPGwzq2RLbfvoKjepUCFc8XuGaWxTIrOHr5dH/g+aoXqEkurapD/5Lniwxpo7uib5dmmLpjKFoUKscva3jnL1O6GMGdsS+g0fR8PVyeP65rDZcCxEQAREQgehFoGrRLLh66x4Onr6Kc1fvoKgRwM4WZk6VCKmSxHfuBqwLPJsSL+VOh1fypEfJ59KB8WoUexZr953GF8v2IVnCuKAAjh3LC5sOnQtIpw0RCDWBlKkQq2LN0LnSFYHYfk8VQp2/S8TYsWIhQ9qUSJncdT5e2Pl5KVD5wj+jMx7tfDki7OXlsKagDHc4HNZ+N23q5OC/RAnjcxXgkiVNhMSJEgTscyNZkkRImCC+zSNB/Lj0ClfnFa65RZHMCDJp4oT/qS07hmGuAe2b17ZG2/RLaTqedyYSu6QRPV0S89ixfZX86FKjIBLHf/KLhZNOpcKZ8UaJ7HD4e1QpkhmNS+fy39NKBETAEwnsOnYRNEXoWLUA4sWJhfV/nLHVpJD96r2yeDX/M3bfucidMTk+a1ISH9Ypih61i6Bvg2JoUjY3Dpy8ghdzpQUF9OWb99CpWkEMnr/DmUxrEQgTAa/sueFVskzo3Isvw5E6bZjyj+6RY6Tgje6dqvY9OYExzV/B9iMXrNgd0rj4k2dkUnaqXhAVC2WyNoAf1imCWObulz+CP/x+zIRGzz+1SgSiA4Gl20/g/LU7qPa/LLhw/Y4d5U2TND5ql8iGB94+/2nicxmSYcqaP1Hj0+XW3bzzAF+v/gNzN/2NWb/+BaZdtfsUDp25in8u3/pPenmIgAhEPAEJ3ohnrBKiEIEMKRPir7PXMG/z38iUKnFAzfNmSo5GZmQ2l/lhC/B02UhtHnHWK5ndPsZ0epd4Li3GrdiPr1b9gfxZUoIjx6v3/oObdx/9RRpneq1FQAQihwCf8Px97jpGLt6DvJlSgOf2het30X36Ztx98F/Bu3jbcczeeMRW1jmaS1MIevy855S1Ba5SNAu2/nUBY1uVwjdty4JPfxguF20JqGEeRkCC18M6RNWJXAIcmRn/bmnUKZ4dG/wfY9IEgY8rCz2bCsPfKYmGr+QMVMlSeTNgZLOXzGPLZ/G1+SHLa8QxI/xz6ZY1Z6j1Qlb8ff6GfbT5jRG/DJMTARHwXAIFsqTC4TPXsGLXSfxl1hlSJAqorMPhCDBRogkUrwsBgWbj7TLPYeovf5qtf/+61SqExduO2ZvmcT/tw5fL94Hx/o2hLREQgYgmIMEb0YSVf5QiMOLH3eCP2Ct502PJdr83qV9/MRsGzN2O7jM2o9/sbfZHy7VR+09eRpMxa9Bs7C+4fd8bBY0wZnjPmVvs48vdxy4hYdzY+GrlAfjNVMhQAFqJgAh4JIFZG//C68WzoVedIta8ySlgBzd60U4vVv/lnHg5T3q0rZwPQ5v4fcCIDXkxZ1rEie2F3w7++1Ja+uQJ7SgxZ3y4dOMuKhTKjHIFMuLQ6atMIicCIuAmApEieL//YTVWrN0KTmz85eSFqPlOL4T3fGtu4qdiohEBCt3utQuj1fh14Ojs0MYlkDBebCuAd/x90bZ097GLiBPLy/4IWg+z4MsoZgW+kHbrrjcWbD7KXTzw8cW36w/j6PnrNp98mVPi8+Yv28eZfIPbRtJCBETA4whwZLfhyFWYac7fpl/+gut3/MyQBs7bgdrDVqCZ8dt86By+WLoPHb7+NaD+rSs+j/mb/g7Y50b9l3Lgi2V7uYme5qb5/gMfnL16G58u2Gn9tPAjoKUIRDQBr4guIGj+Fy5dxfyl65Evd1Z89e1ijJ++CA1rl8dv2/aDYUHja18E3EUge9qkiGUeV564eBO9vtti386+fc8b98wPFEdkWI+y+TPi6q371g43S+rEoKM/R3pK53sGLcwo76hmL4EjuvSn61azMD5btAuVi2TG+5M3giPCb5XOxSA5ERABDyXAG1ZeC1yrx+sBHe3wfXwf2ic6NH1gnGxpk9iX0/iSGvedbowRu7Td5f49b19r188bYeZPPzkREAH3EHC74E2aJJGde23Z6s3g6O7AHi3QoGY5pEuTEnfu3nNPq1VKFCQQ8VXec/wSrt6+jxHvlET3WoWx1N+kgWYOHasVwLedyqNbzUIB9nmDGxW3X0ya0u5V0E6Xk9X/+GEVpE+R0P4QssY1X8iKk5du4sjZ6/B5+NDO2MCR3i2HzjNYTgREIJoQOHXpFpqNXSuzpWjSn2pG9CPg5e4mcYJiftls94Ej9isdtauUwsz5K3H9xi3EiR3b3dVReSIQQID2tbTFpcDt/d3v9sUSBq47cAavD/kJn8zZjlpmvXznSXqj27RN+MC4Dt/8inrDV6K+cVzzUaiNYBaln8+AIQt3mi2go3n0+WKudJix7hDW7j9t/bQQARGIHgQ4YksbXbe0RoWIgAiEmYDbBS9rWKp4QYwd3Al1qpbmLt6uWxEc+c2QLpXd10IEIpPA6Su3/zP1EH/M+NUlrp11ox3euWt3rHkDbfyczjUORTEfgTLNSTMCRNMGiV3SkBMBERABERAB9xGIcMHLT/E2aN0fj3J1WvTB7EVrcM2M8rqv6dG6JDVOBERABERABERABETAn0CEC95nM6bD3yfOoGall82Ibim7pghOlzYFqr1WwroS/8uHgs/nwENfPlT2r5lWIiACIiACIvDUBJSBCIiACAARLniTJE6I0Z+0R6M6r6FBrXKoX/NVPJc9E0b1a48m9SpZ98F7b+Lu3XuIHTuW+kQEREAEREAEREAEREAEwpVAhAte1vblF/JzZV0cI2oTJUyA+w+87T4X3t7euHf/AY4cj5wXeVgHOREQAREQAREQAREQgehJwC2CNyi66hVKonmXoZg8a5mdmqxuq764cOkasmfJEDSq9kVABERABNxHQCWJgAiIQLQkECmC981a5fD2GxWxc+9hLFuzGa++XARzJvYFzR+iJWU1SgREQAREQAREQAREINIIhF3whkNVp875CXlzZcEXg97HsplD0fndesim0d1wIKssREAEREAEREAEREAEghJwu+D18fHFZ+Nm4dzFK4Hqsnn7AVy/eTuQn3ZEQAREwJMJqG4iIAIiIAJRg4DbBa/vw4coWSwfZv2wBhS5dBu27MWEGT/i7t37UYOaaikCIiACIiACIiACIuAk4PFrtwve+/cfYNO2/fh5/Ta06DrMujY9RmDrrj/h5eXweGCqoAiIgAiIgAiIgAiIQNQi4HbBmyhhfPsp4R+nDcb+tVOt2/Xz13ae3qiFTrUVAREIEwFFFgEREAEREIFIIuB2wct29mz/FhwOB77+bim+mrkYh/4+hV4dGyN1ymQMlhMBERABERABERCBaEtADXM/gUgRvBu37kONJh9i1FdzMWPeStRv3Q+zF61xf+tVogiIgAiIgAiIgAiIQLQnECmC95OR0+xUZGvmjsKGH77A8m+HYfKs5bijl9ai/QGnBoaWgOKJgAiIgAiIgAiEFwG3C95bt+8id87MaPlWNaRLk8K2I0vGtKhTtTQO/X3S7mshAiIgAiIgAiIgApaAFiIQDgTcLnj50tqFS9fw4IF3QPWvXLuBpas2yYY3gIg2REAEREAEREAEREAEwouA2wUvK17u5SKo3uRDDB4zE+9+MByv1OqArFnSI2P61AyWE4GwElB8ERABERABERABEQiRQKQI3laNqqNFw6r46+g/uHDpKrg/tHebECupABEQAREQAREQgdAQUBwREIHgCESK4D199iIqlyuOyaN6YOHkgahQuhgSxI8bXP3kJwIiIAIiIAIiIAIiIAJPRcDtgvfhw4eo1ewj7N7/V0DFOco7etK8gH1tRCwB5S4CIiACIiACIiACMYmA2wXvteu38GymdHjlxQIBnMu+VBjb9xzCtRu3Avy0IQIiIAIiIAIRTEDZi4AIxBACbhe8yZMlRpaM6eDt4xuA+NKV69ix9xDOXbgS4KcNERABERABERABERABEQgPAm4XvKz0q2ZEt1bTXhjzzXyMnDgH9d7ti0wZ0iBblgwM9iyn2oiACIiACIiACIiACERpApEieGtUfAnd2zbEiX/OY9WG7XixSF77Aluc2LHcBtPHjDAvWrHxsWYUuw8cwebtB0DbY1Zu577DWLdpNzflREAERCBGEVBjRUAERCCqEogUwUtYtNsd/vF7WDZzKIb0etetc/D+cfg4uvYfh+RJEyNZkkSsTrBu4fINWL95NzZlo2sbAAAQAElEQVRu3YdZi9aAInnK7OUoXjRvsPHlKQIiIAIiIAIiIAIi4HkEwlnwBt/AI8dPB/qyWvCx3OM7Z/FatOs1Gr06NkaZkoUCCuULcxS2B4+cDPDj6HODmuVQv2ZZbNnxB5as2oRq5UsifjxNoRYASRsiIAIiIAIiIAIi4OEEIlzwXr12EzXf6WVHSSObxaG/T6H/iKkonC8Xlq3ZjOs3b9sqcV7ghu99gq27/sSICbMxfvoi658nZxas3bQLG7bsRf482bDObFcsU8yGOReXrt9DRLs793ycxWktAiIQBgI8dyL6/Awx/3C+NrAtYWi6ooqACPgT4LnjjvPUvzitPJRAhAveM+cvIWXyJHjZZRoyzrvr7RNYxHGGhgfegf3Cm9mq9dvMCG0JjOzX1poyNG430NrmLl29GU3rV0anVnUxcVhXfLdgFS5evob33qmFdKlTIE/OzLh95679IpzD4QhUrRRJ4iGiXfx47rNtDtQ47YhAFCfAcyeiz0935c+2RPHuUPVFIFII8Nxxx3kaKY2LIoV6QjUjXPDmzJoR6dKkxP37DwLa26BNf1y4eDVgnxtT5/yEK1dvcDPC3F/HTuP557La/CuVfRE0tTh28izWb96D3GY0lwEOhwMFn89hw2LHimXNHtIa0XvDjAYfPXHWzirRZ9hkXPavq5fRvxHtTBGsmpwIiEAYCfDciejz0135sy1hbL6ii4AIGAI8d9xxnpqi9OfBBCJc8MaJExt9OjcBTQa6fTIeFIsczf1s/Cz0HT7Fut5DvsaSn3+DF4/ICIT1v4K5cOhvPxvdi5ev2pHnTM+kReF8ObF9z0FbMoU5X2orZESv9TCL8dMWmdHdGpg8axm6tK6PogVy4ed1W02I/kRABMKHgHIRAREQAREQgYgj4BVxWf+bM8Xj5FE9UCR/LiSIHxcJE8S3gb6+D0F3z4z+3r337wiwDYyARZ2qZeDj62ttdGfMW2lfXONUaC0aVrWjvHyZrXKj7mjduEbAi2nbdh9EjqzPIG3q5NaPYnjH3sMokDd7BNRQWYqACIiACIiACMRoAmp8hBBwi+BlzVOnTIZGdV6zIrNrm/ro360ZBnRvbh2nJ+PUZPHixmHUCHMU20N7t0a96mXRo/1bqFKuuC2LX3+bOron+nZpiqUzhqJBrXLWnwvOwduoTgVuYszAjth38Cgavl4uwDTCBmghAiIgAiIgAiIgAiLgsQTcJnhdCbxpBOWFy9fw9XdL8dXMxdh/8BjKlyqKJIkTukaLsG2Kb9rnBi2Ao7gUxa7+7ZvXhlOIp0yexIplpx2wazxti4AbCagoERABERABERCBMBCIFMHL+W5rNPkQo76aC5oW1G/dD7MXrQlDtRVVBERABERABERABERABEJHIFIE7ycjp6Hzu/WwZu4obPjhCyz/dhgmz1qOO3fvh67WiiUCIiACIiACIiACIiACoSTgdsF76/Zd5M6ZGS3fqoZ0aVLYambJmBZ1qpYOmEHBemohAuFEQNmIgAiIgAiIgAjEbAJuF7yJEsbHhUvXAn1q+Mq1G1i6ahNoWxuzu0OtFwEREAEREIEII6CMRSDGEnC74CXpci8XQfUmH2LwmJl494PheKVWB2TNkh4Z06dmsJwIiIAIiIAIiIAIiIAIhBuBSBG8rRpVB+e+/evoP2a09yq4P7R3m3BrlDJ6CgJKKgIiIAIiIAIiIALRjECkCF4yrF/zVfBjFAsnD0SnVnXtBynoLycCIiACIiACnkBAdRABEYg+BCJN8EYfhGqJCIiACIiACIiACIiAJxOQ4H2q3lFiERABERABERABERABTyfgMYKXn+y9d/+Bp/NS/URABERABIIjID8REAER8GACkSJ4/zl70X5ZbeTEOfhi8gJ8/d1SDPp8Jq7fuOXBqFQ1ERABERABERABERCBqEjAnYLX8vH1fYg32/THxJmLcezUWfz51wn8+vte7DlwBA6Hw8bRQgREQAREQAREQAREQATCi4D7Be9DX1t3fk54zICOGDu4E6aO7oke7Roibtw4NkwLERABEYjeBNQ6ERABERABdxJwu+CNHSsW6tUoi6MnzgRqZ+qUyaHx3UBItCMCIiACIiACIiAC0ZuAm1rndsF7+uxF/L7zT7T9cBTe6+nn+LW1vsOn4M7d+25qtooRAREQAREQAREQARGIKQTcLnhTp0yGg0dOombFl1E4X07rcufIgiSJE8QU5mqnCIhA2AgotgiIgAiIgAg8FQG3C17a6X4xqKP9ulrzhlXxTv1K6NqmPoZ91MaI3oRP1RglFgEREAEREAEREIHoS0Ate1ICbhe8rGj+3NnQe8jXKPxaC/yv0rto12s0smZOjwTx4zJYTgREQAREQAREQAREQATCjUCkCN6hY7/H+s278WatchjYowWSJ02Mdh+Ohv6JgAg8PQHlIAIiIAIiIAIiEJiA2wWvt48Ptu85iCUzhqBP5yaoXaUUBvVsiWzPZsCJf84Hrp32REAEREAEREAERODJCCiVCAQQcLvgffDAB89lz4xkSRIFVIIbKZIlwTV9aY0o5ERABERABERABERABMKRgNsFL+10+QnhRSs24sq1G9i57zBGTJiDeUvWIWfWjOHYNGUlAqEgoCgiIAIiIAIiIALRnoDbBS+J9uvWDMPHz8IrtTqgcftBmDxrGYZ//J5eWiMcOREQAREQARGIBAIqUgSiM4FIEbxZMqbFqjkjMX1ML3w5+H2sXzgGLxbJG505q20iIAIiIAIiIAIiIAKRRMBtgvf8xau2iQ8fPsTJ0+dx7sIVpEmVHDmezYhbt+/YacqccWxELTyQgKokAiIgAiIgAiIgAlGPgFsE74Yte/Fq3U6goKXYrfxWd1Rp5Op6YMXa3+FwRD2AqrEIiIAIiEAMJKAmi4AIRCkCbhG8/yv4HD7t1QopUyRBlozpwA9PLJ7+qTVloDnD6rkjUansCzCDv1EKniorAiIgAiIgAiIgAiLg+QS83FHFhAnioWbFlxE7Vixb3NhPOyF7lgxIlSKpdQ8eeNtPDac0gthGiB4LtUIEREAEREAEREAERMADCLhF8AZtZ5VGPQJ53b5zD6MnzQsQxIECtSMCIiACIhDFCaj6IiACIhC5BNwqePlhiT8OH8ftO3fx518ncPDISew7eBTHTp7BirVbcerMhcilodJFQAREQAREQAREQASiHQG3Ct4LF69i6NjvLcQ3Wn6MOi36oEHr/ujSbxwa1CqHTBnS2DAtREAEREAEREAEREAERCC8CLhV8ObMlhFfj/gArd+ugd2rvwlwe9dMwcedm4RXm5SPCIiACERlAqq7CIiACIhAOBNwq+Bl3fniWv482XHyn/PWZpf7S1dtsmYODPc0t/vAEWzefgCcP5h127nvMNZt2s1NOREQAREQAREQAREQgQgjEH4Zu13wckaGDr0/x5279wJaUShfDvQc/FXAvqdsLFy+Aes378bGrfswa9Ea+Pj4Ysrs5SheVF+F85Q+Uj1EQAREQAREQARE4HEE3C54791/gLIvFcbzz2UNqBvn5r185QbOnLsU4BfRGyf+OWdE9/2AYvhCHYUtX6Rzeq7asB0NapZD/ZplsWXHH1hiRqKrlS+J+PHiOqPAx/dhhDvNTxyAWxsi8B8Cj/LgueOOc9QdZbAtj2qrwkRABIInwHPHHedo8KXL11MIuF3wJk6UALFieQWakWHPgSOgqcADb2+3cLlz9z7a9BiJK1ev2/JOn72Ihu99gq27/sSICbMxfvoi658nZxas3bQL/FJc/jzZsM5sVyxTzIY5F9du3kdEu7v3fZzFaS0CIhAGAjx3Ivr8dFf+bEsYmq6oIiAC/gR47rjjPPUvLjJXKvsRBNwueFmX95rUQu3mfdCw7QDUbdXXrkuXKITMz6RlcIS7sVMX4vipcwHlLF29GU3rV7Yfv5g4rCu+W7AKFy9fw3vv1EK61CmQJ2dma2PcqlF1OByOgHTcSJk0HiLaJYjn98EOlicnAiIQegI8dyL6/HRX/mxL6FuumCIgAk4CPHfccZ46y9PaMwlEiuDNm+tZLJn+KWpXKYUi+XNiYI8WGDOgw3/EZEQgo9lC5iDTn63fvAe5zWguy3M4HCj4fA4cOX7avlRXpmQhpDWi98bN2zh64ixGTpyDPsMm4/LVG4wuJwJRi4BqKwIiIAIiIAIxkECkCF5yTpcmBerXKIve77+NGhVfQo9BEwNmQmB4RLir125imRnNrV/z1UDZF86XE9v3HLR+9+8/AD+OUciIXuthFuOnLUKrRjUwedYydGldH0UL5MLP67aaEP2JgAiIgAiIgAhERQKqc8wi4BUZzeXLYDRlqPlOLzgdv7R28vT5CK3O59/Mx6bt++0HL1hQs85DMXfJWrRoWBUc5W3XazQqN+qO1o1rBLyYtm33QeTI+owZ5U1u/SiGd+w9jAJ5szMLOREQAREQAREQAREQAQ8n4HbByxfG+o+YildeLIDXq7yCBPHjoV71siiSPxc4W0NE8uLHLVbOGo65k/rbYiYN74a61cogebLEmDq6J/p2aYqlM4aCX32zEcyCc/A2qlPBbAFjBnYEP4Xc8PVygWaZsIFaREMCapIIiIAIiIAIiEB0IOB2wRs7lhdoQtC+eW00f7MqMqRLhTpVSyNhgniBXiSLCLgOh8Pa5caOFctmH8usHQ6H3eYiberkRoD/O+UY/VjPeHHjcBMpkyex4tx1SjUboIUIiIAIiIAIRGcCapsIRHECbhe8ceLERpmSha0pA79e9ka10nipZjv7cYckiRO6Decv80YjY/rUbitPBYmACIiACIiACIiACEQOAbcLXjazYtkXMKp/ezsrQ6niBTHzy974ceogO4LKcHc4jua6o5wYVIaaKgIiIAIiIAIiIAIeSSBSBG+9Vn3h+oIa7Xc5B6+v70OPhKRKiYAIiIAIiEDoCSimCIiApxFwu+D18fG1H3Fw2tE6gYybtggXLl117motAiIgAiIgAiIgAiIgAuFCwO2C9+atO0iRLAk4BVjj9oNA16B1f0z6don95HC4tCoKZKIqioAIiIAIiIAIiIAIuIeA2wVvsqSJrLDlxx+qlCsOuldfLoJMGdJE+Icn3INUpYiACIiACISBgKKKgAiIQIQTcLvgZYs+6d4CH7Z/C43qvGZdmyY1MbxvWyROlJDBciIgAiIgAiIgAiIgAiIQbgTcInhPn72IcvU648vJC8HP+/644ld8Nn4Wlq3eEtCQAnmy/WcO3IBAbYiACIiACIiACIiACIjAExJwi+C9c+8+8uZ6FvyIA79qlitbJpw+dwkVSv/vCautZCIgAiIQMwmo1SIgAiIgAmEn4BbBy2olT5qYK+uyZEqHHM8+A36EwnqYxbkLV/DA28ds6U8EREAEREAEREAEREAEHkkgTIFuE7zePv+K2Ye+DwOJW4aN/GoOrly9EabKK7IIiIAIiIAIiIAIiIAIPI6A2wTvLvtJ7gAAEABJREFUkp83IV/Zpta17PYZps9dYbfpV6h8CzDc4XhcdRUuAiIgAmEgoKgiIAIiIAIiYAi4TfCmS5MCTepVQouGVf/j3q5bESmTJ8HDh6ZG+hMBERABERABERABEQhXAjE9M7cI3iSJEqJ/t2bo0a4hurSu/x/Xs/1b+LBDY8SPHzem94faLwIiIAIiIAIiIAIiEM4E3CJ406ZOjlLFCz6y6lXLF0fSxJqH95GQFCgCEUpAmYuACIiACIhA9CTgFsEbPdGpVSIgAiIgAiIgAtGSgBoV7QhI8Ea7LlWDREAEREAEREAEREAEXAlI8LrS0LYIhJ6AYoqACIiACIiACEQRAhK8UaSjVE0REAEREAER8EwCqpUIeD4BCV7P7yPVUAREQAREQAREQARE4CkISPA+BTwlDT0BxRQBERABERABERCByCIgwRtZ5FWuCIiACIhATCSgNouACEQCAQneSICuIkVABERABERABERABNxHQILXfaxDX5JiioAIiIAIiIAIiIAIhBsBCd5wQ6mMREAEREAEwpuA8hMBERCB8CAgwRseFJWHCIiACIiACIiACIiAxxKIBoLXY9mqYiIgAiIgAiIgAiIgAh5AQILXAzpBVRABERCBcCGgTERABERABIIlIMEbLBZ5ioAIiIAIiIAIiIAIRFUCQestwRuUiPZFQAREQAREQAREQASiFQEJ3mjVnWqMCIhA6AkopgiIgAiIQEwhIMH7mJ7efeAINm8/gIcPH9qYO/cdxrpNu+22FiIgAiIgAiIgAiIQ5QnEgAZI8D6ikxcu34D1m3dj49Z9mLVoDXx8fDFl9nIUL5r3EakUJAIiIAIiIAIiIAIi4EkEYpzgfeDtgx17D+PvE2cC9cO1G7essD145GSA/6oN29GgZjnUr1kWW3b8gSWrNqFa+ZKIHy9uQBxtiEAMIaBmioAIiIAIiECUJRCjBC9Fbd/PJmP5ms1o0Lo/Vqz93Xbc6bMX0fC9T7B1158YMWE2xk9fZP3z5MyCtZt2YcOWvcifJxvWme2KZYrZMOfivrcvItr5+PqZUzjL1FoERCB0BHjuRPT56a782ZbQtVqxREAEXAnw3Anf8zT4333XMrXteQRilOBNGD8e+nZtit7vv4136lXCH4dP2B5ZunozmtavjE6t6mLisK74bsEqXLx8De+9UwvpUqdAnpyZcfvOXbRqVB0Oh8OmcS7u3vNBRDtvHwleJ2+tRSAsBHjuRPT56a782ZawtF1xRUAE/Ajw3HHHeepXmpaeSiBGCd44cWIjXtw4Vszu+eMIGr9RwfbL+s17kNuM5nLH4XCg4PM5cOT4acSOFQtlShZCWiN6b9y8jaMnzmLkxDnoM2wyLl+9wehImihOhLt4cbxsWVpEHQKqqWcQ4LnjjnPUHWWwLZ5BVbUQgahFgOeOO87RqEUl5tU2ximpA4eOYeKMHzHsozbYvucgOOtC4Xw57Ta7//79B2bk9zgKGdHLfbrx0xaZ0d0amDxrGbq0ro+iBXLh53VbGSQnAiIgAiIgAiIQMgGFiIBHEPDyiFq4qRLzl65HvXf74YefNqLCm93Qpd845Mn5LFo0rAqO8rbrNRqVG3VH68Y1Al5M27b7IHJkfcaM8ia3fn8cPm5feiuQN7ubaq1iREAEREAEREAEREAEnoZAjBK8NSu+hG0/fYX1C8dYt3PlJCSIHxfJkyXG1NE90bdLUyydMRQNapULYMo5eBvVqWD3xwzsiH0Hj6Lh6+Xw/HNZrZ8W4UBAWYiACIiACIiACIhABBKIUYKXNrwUuE4XN26cQGjTpk5uBbCrZ/vmta3dL/1SJk+CetXLSuwShpwIiIAIiEC4E1CGIiACEUMgRgneiEGoXEVABERABERABERABDyZgASvJ/dOsHWTpwiIgAiIgAiIgAiIQFgISPCGhZbiioAIiIAIeA4B1UQEREAEQklAgjeUoBRNBERABERABERABEQgahKI7oI3avaKai0CIiACIiACIiACIhBuBCR4ww2lMhIBERABTyaguomACIhAzCUgwRtz+14tFwEREAEREAEREIEYQSCQ4I0RLVYjRUAEREAEREAEREAEYhQBCd4Y1d1qrAiIQCgJKJoIiIAIiEA0IiDBG406U00RAREQAREQAREQgfAlED1yk+CNHv2oVoiACIiACIiACIiACIRAQII3BDDyFgERCD0BxRQBERABERABTyYgwevJvaO6iYAIiIAIiIAIRCUCqquHEpDg9dCOUbVEQAREQAREQAREQATCh4AEb/hwVC4iEHoCiikCIiACIiACIuBWAhK8bsWtwkRABERABERABJwEtBYBdxGQ4HUXaZUjAiIgAiIgAiIgAiIQKQQkeCMFuwoNPQHFFAEREAEREAEREIGnIyDB+3T8lFoEREAEREAE3ENApYiACDwxAQneJ0anhCIgAiIgAiIgAiIgAlGBgARvVOil0NdRMUVABERABERABERABIIQkOANAkS7IiACIiAC0YGA2iACIiAC/xKQ4P2XhbZEQAREQAREQAREQASiIYEYLXijYX+qSSIgAiIgAiIgAiIgAkEISPAGAaJdERABEYiBBNRkERABEYjWBCR4o3X3qnEiIAIiIAIiIAIiIAKhF7xiJQIiIAIiIAIiIAIiIAJRkIAEbxTsNFVZBEQgcgmodBEQAREQgahFQII3avWXaisCIiACIiACIiACnkIgytRDgjfKdJUqKgIiIAIiIAIiIAIi8CQEJHifhJrSiIAIhJ6AYoqACIiACIhAJBOQ4I3kDlDxIiACIiACIiACMYOAWhl5BCR4H8N+94Ej2Lz9AB4+fGhj7tx3GOs27bbbWoiACIiACIiACIiACHg+AQneR/TRwuUbsH7zbmzcug+zFq2Bj48vpsxejuJF8z4ilYJE4GkIKK0IiIAIiIAIiEB4E5Dg9Sd67cYtK2wPHjnp7wOs2rAdDWqWQ/2aZbFlxx9YsmoTqpUvifjx4gbE0YYIiIAIiIAIiEAEEFCWIhCOBCR4DczTZy+i4XufYOuuPzFiwmyMn77I+AJ5cmbB2k27sGHLXuTPkw3rzHbFMsVsmHNx8do9RLS7fc/HWZzWIiACYSDAcyeiz0935c+2hKHpiioCIuBPgOeOO85T/+K08lACErymY5au3oym9SujU6u6mDisK75bsAoXL1/De+/UQrrUKYzwzYzbd+6iVaPqcDgcJoV7/27f9ca3HV+T+y8DMRGTRx4DPHfce7ZGXGlsi64Dug7qGAj7McBzJ+LOTOUcVQhI8JqeWr95D3Kb0VyzaQVtwedz4Mjx04gdKxbKlCyEtEb03rh5G0dPnMXIiXPQZ9hkXL56g9GROlk8OTHQMaBjQMeAjoFIPgb0WxTZv8dWFGjhsQQkeE3XFM6XE9v3HDRbwP37D/DH4eMoZESv9TCL8dMWmdHdGpg8axm6tK6PogVy4ed1W02I/kRABERABERABERABDydgJenV9Ad9WvRsCo4ytuu12hUbtQdrRvXCHgxbdvug8iR9Rkzypvc+lEM79h7GAXyZndH1cK1DGUmAiIgAiIgAiIgAjGRgASv6fXkyRJj6uie6NulKZbOGIoGtcoZX78/zsHbqE4FuzNmYEfsO3gUDV8vh+efy2r9tHAPgeOnzgWYkThLPHLsHwwd+z3W/rYL167fwsQZizHp2yXO4AhbT5u7ApUafmDtvCOskCfMmC9YNm4/yM4w8oRZKJkIRHkCobge4PzFq/aJXpRv7FM2QNeMpwSo5FGGgASvS1elTZ0cCeIHnnKsffPaiBc3jo2VMnkS1KteVmLX0nDvoufgrzB4zMxAhaZIntSan1y4fBXx4sXB9Ru3cPjvU4HiRMTOG1VL49SZC3Ze5ojI/2nyLFE0L+KbY/jBA++nyUZpRSBCCXy3cDVKvd4B+co2RZd+4/Bez1F4oUob/PnXiXAp91HXA05B2bTTEMxbshbte3+O3kO+Dpcyo2omumZE1Z5TvcNKQII3JGLy9xgC/5y9iD0HjmD5mi3gy4POivEGJH3alHaXcyPnzJbRbkf0InGiBEiYIP4TFXP0xBlEpBiNEyc2kiZO+ER1UyIRcBeBt2qXRx1z41gkfy6M7NcW44d0Rv9uzUAxGh51eNT14CdzHUmaJCHaNn0dnw/oiDt374dHkVE2D10zomzXqeJhJCDBG0Zgiu5+AhS6nDKOIvOX33aGuQIUmDSJCG3Cq9duPjYqp6lzjeT89LTTL6Q8ho2bhdt37zmjBbvmF/2CDXDxvHf/gcte4E1vn8DzNvNFzMAxtCcCYSMQEbF54+ia70vF8qFAnmyuXv/Zvn7zdoBA5TlIswRnpKDnoNM/6PquOXc2bTuAcxeu2Cd6gz9saaP4+j4MMFNiXrzRfuDtdy7xnLp7L2zC2MfHF97+5+Kj8mY7WJ6txBMufExZj0vKOjjbEzSut389nf66ZjhJaB2dCEjwRqfejKZtWbBsPaq/VhLlSxXFD8t/DVMrz5y7hDdafoxh4763j05pe7ti7e82j+17DlkziS79xmL0pHn2x6lNjxF4q90AjJu2CLWbf4S+w6fYuPxBGDf1B/QYNBENWve3flxcuHTV5PEt6r3bD7MXraEXJkz/ES/Xag/a+rbs9hnqtuqLW7fvguWu37wb7T4cjSmzltu4zgV/8Gh/3H3ABFvutwtW2ZFg2ijTnIOPfZ11nDr7J7xSq4N9DFzznV5WAKxYuxWdPv4S734wHKs37HBmi09GTbeO0+kFeGpDBDyEwOWr160Zw27zBKffiKkBT05oV8rjftDnM8CXiecuWYvNOw6gZPW2+H3nH9aUiefVkC+/tS2Zv3Q9Phr6DWi/zjnUrWcIi1oVX0aaVMnMefkxNm3bb19G9jGCked+mx4jbapRX81FxTe7gU9kGKdk9Xb2fYH+I6dZU4xZ5lznNq8n803ZNpHLYue+w/j4s8moZ859CuuQ8uY5T1OOCTN+tNencvU6g/PC8zrAvPlkyyXbQJthuWZs3LoPVRp1N9eeUbb+fBdF14xAOLUTAwiEk+CNAaTUxEghsP/gMVy4dA3dB07Ewb9OYIv5sePIS2grkzZ1CvyvUG7EiuWFgT2ao0PzOvaHhaYRfYZ9Yx7/J0KWjOnsy24UwC0aVrO2uY1qv4avR3THvCXr7Istsxf9givXbmBo79YY+2mngOLX/LoDtau8gm5tGoAClwEt3qrGFV4snAdfD//ApufsHpXKvmj9x5nHt83erGK3nYsFyzZY++Nhfdpg/tefoEq54pg+byUuXb6GIb3exbA+ra1JB4Vy/Zqv2g+h1K9ZFl8Ofh/HTp7B2CkLMaJvWzDvvLmetdny8fDilb+BZZUpWdj6aSECnkSA5yGnhOTLwZeuXLdVO3n6PAaOno7BPVuh9/tv486de4gfNy5KFH0eL5hzipF4jLdvVoebdlSWaQb19BupZX42IIQFX1KeN6k/Kr/6InhDyhW2ds4AABAASURBVBtUXh/ebVwjIAWnn8yUIY3dL2lGnksWex4Z06dG3y7voEm9SlhrnjR1b9sQA7q3wFczF9t4rot1m3YjUcL4YJ04kh1S3vyYEdOxbTTtyP7sM+DTqCG9W6NW5Vew8KdfGWxfsKP45vzwR479Y69FYblmMH/Wn18P/X78x3jo66trhiWrRUwiIMEbk3o7CrZ16apN+OSDZpjxRS8jBAeAP0I/rtwY6pbwh4wX+qyZ0tvRo6rlS9j1pm37cNc8omzfvLb9wt7+tVNRvEheK4yTJ02MZEkTgTbCLOimGZ3dsGU38ufJzl2kTpnMrrngjB5xYsfGinVbrVCmn5f/1/gopLlPO2O+Nc7tkBx/QIv5/5jTpo5l79h7CM9mSmeT8CMo1V4rYT9/nTBBPOtXwNSHZWzavh8F8ma3dWe8dGlS2PBkSRKhY4s64Cjw40a9bAItwoeAcgk1gWfNedmoTgW0frsG+nV9x6bj6Ohz2TPBy8th9zOkS2XXXHiZc4sjm9yOFcsvnOcjBeUK8+Tm+Kmz4KN7hofkvM3je5pHUUzzZvKLyQvw19F/bHk+Jiy4dF4OLzjrwfMqfZpU1hyC1wmaJARN85a5YaaIHz5+tg1iW0LKmxHSp/F7FyFp4kT2nGf8FMkS25tlhs+cv9I8pZqF0WbkmU96ft2y14ru0F4zeB2kAOc1jNfQrbsP6ppBsHIxioBXjGqtGhulCNCObO2mXXj15SK23vwReLNWOXxnHvfzR4ue/PF7+JBbsD90vs4dP6+ApdN2jT9O8ePFwf8K5bE2fJu27bdxOEJ0/NQ53Lv3r23sff+ZDhLEj4fMz6TFxt/3guWxXkzka0ZJ5i5Zi28XrkLZkoXpZZ0zHePS47YZoXKKVO5z1JY/sNx2umxZMmDD5t22DT7m8Sp/LPPlzhZoerHLV24gR9aMAcLa19ev4RnTpwFFr9OulyNi5EAziheNiJ88qod5HPudsyitRcAjCPBc402nszK8eRswaroRfOmxZuNO3Lx1xwbRBt9umEW8eHFx+twlswV7/nKDx3mzTkPApzn8YqbzEsDzg+cB47g6CkaaGdCvQpliXCFu3DiIEycOTp25aM9BjjzfvnPXhnHBc+uh//n2wNsbD81/+vNcp3jmtqvj9WSuGUWOHTsW+BQopLyd1wjn+sGDB3CWwzJZL+bLEWe+2PfFoPdBV6PiSwjLNYN5ML+HD325CV0zLAYt3EDAk4qQ4PWk3lBdAgjwR6xzv7F2VgbayzGA9mx7/zxq5+PlVEKrf92J37buw48rNmLLjj8w58dfzPqAHQVlfFc3fe4KdOj9Obp9Mg6fD+iAVCmSol+3pvaRJu3+5i1Zh5TGb9rcn0D7Nv7gjpgwx2axYNk6vF23IrbtOYg323yC4f7+n38zHxcvXceBg8ew0ozwXr56w9ZhyuzlNh2/zLds9RZwxGquyZ8/3K+bx5Qtug7DOiNubST/BUe5ONVZ9SY98cGA8UibJgWaNahif9Rozzfky+9w9sIltGlSE6wjk33+9TzwMXDpEoXAR6G00aPN8dkLlzHrhzU4YR4Nd+77Jbbu/BN1q5VhEjkRiHQCD40ipU35guXrrS0upySjHX3DtgPAm9p8ubOiVqWX8WrdzqAAdp2qjGYItK+lKcKeP/7Grv1/gTeHp89dxNzFa+0N6zxzE7px2z57Lm7ZceA/14N0qc251XmINWPq9enXoFlBloxpkSdHZmvby3PQee7zHP7FiG9+gGjBsvXYsGWPNXPievueQ5gya5kRyRf+Y9awztyoj/l6PjilZbFCuUPMm3OHs0PGT/8RvOZsNtexeUvXYcfew1jy8yZ7fePINeMEdWG5ZvDGfue+v/C9uS7w+qZrRlCa2o8JBLxiQiPVxqhHgI/fRvdvj1/mjwYv7GxBPjPiObT3u9i16ht88kFzvPpSYayZOwqThn+AFwrnxsyxH+Hn2SNQtMBzjB7INa1fGf1NmvFDugSE16teFr/9OBYThnZB53frIUmiBBgzoCN2rpyE0iUKonu7N7F79Tf2QyRZMqbD8m+HYbyJ26tjI2xZOh58HNqmSQ1r0zuwRwusXzgG9Wu+an9Amcd777yOSmVfsHkM/ai1GUGKbW3+Fk4eiBYNqwaqH80Q5n89ADO+6I2R/dohuxnxTRA/rt3+uMs7aPlWNVPPruDjVNoQsl60J6TpA+NNHNoVs8b3Bad2mvtVf5NPL+TNmQXfj/sYTRtUtlMwBSrQY3ZUkZhGwOFwoH2z2vjJnE+7fv4aYwZ2xNCP2oC2pR92aAya5Qz+sBWWzRyCPp2b2EfvTka1jBBet2A0Jn3WDUPMteDnWSPsy6w/ffcZPur0NqaM7oGJw7ripf/lC/F60LB2efw4bTBeK/U/a2PLGWCYf5w4sbFk+hDMm/QJeDO8es5I8BwvZa4Fvy0e65dvsfzgyO2K74ejcL6cNpznYrM3A5/PNLF49+0a5ua6I2gKEVLeLcx5zfQfm3aWMTeum5aMtW0r9HwOfD+uD5YaBuVNPVm/oC4s14wXiuSBM++8OZ+15hi6ZgQlqv3oTsArujdQ7Yu6BPgjwR+/OOaxIFtBOzT6cZ8jJxwN4j4Fn5eXF+jP+TcZDy7/vL19wEebFIcOh5/dnzOYNnh8qcS5z0eIdCzX1TGcZTIPbjvTOBwOa9PrcDjsjwjDWA/mwTXrwny4zTAvL4cVrdwO6hiWyowyB/VnWbRTdPozPzqW4XD4tYflpE2d3EbhzYLdMIug7TNe+hOBSCfAY5eO5y/PDafjOeCsXJpUfsczn4x4u9jW0oTA4XBYYczjnvF5zNOf5wXzdDgcIV4PGIeOJgG8djC907F8p/kR60d/xrX1M4KY5Tn3uc04zn3GdTqes7w5ZX5OP24HzZv52vSueftvsx0Mo3PmEXTNPMNyzWCerDfz4VrXDJLwIKeqRCgBCd4IxavMI5sAH/lv23MQO8zjx0Nu+ApbZLdX5YtAdCKw3Zy3fAS/eccB3InhH4iITv2qtohAZBCQ4I0M6irTbQT44slbtV/De+/Uwt3HfPDBbZV68oKUUgRiFAG+1EYzB87D7e3tHaParsaKgAiELwEJ3vDlqdw8jABnVyj3chGUfakwCj6fw8Nqp+qIgAg8isDLL+RHqeIFjCuIJPpk9qNQxcAwNVkEwkZAgjdsvBRbBERABERABERABEQgihGQ4I1iHabqhp6AYoqACIiACIiACIgACUjwkoKcCIiACIiACERfAmqZCMR4AhK8Mf4QEAAREAEREAEREAERiN4EJHijd/+GvnWKKQIiIAIiIAIiIALRlIAEbzTtWDVLBERABETgyQgolQiIQPQjIMEb/fpULRIBERABERABERABEXAhIMHrAiP0m4opAiIgAiIgAiIgAiIQVQhI8EaVnlI9RUAERMATCahOIiACIhAFCEjwRoFOUhVFQAREQAREQAREQASenIA7BO+T104pRUAEREAEREAEREAEROApCUjwPiVAJRcBERCB0BNQTBEQAREQgcggIMEbGdRVpgiIgAiIgAiIgAjEZAJubrsEr5uBqzgREIHIIXDtxi1s3fUn5ixei8Urf8PRE2cipyIqVQREQAREwO0EJHjdjlwFioAIhJJAuETz8fHFtwtWofrbPbH7wBFkzpAGl65cR7teo5GvbFOcOX85XMpRJiIgAiIgAp5LQILXc/tGNRMBEQgHAlPn/ITBY2Zi+pheaPlWNZQslg9NG1S2+wkTxMfVazceWcrFy9dw6O9Tj4yjQBEQARGIWALK/WkJSPA+LUGlFwER8FgCZy9cxsiJc9D67RrIliVDoHqmTpkMQ3u/i1QpkgXyf/jwYaD9KbOW4+iJ04H8wnvn7r374Z2l8hMBERABEXAhIMHrAkObIhCVCaju/yWw58Df1vN/BXPbddBFuVeKIm3q5NZ7759H0X3ABJSu3RFzl6y1fivW/g6OEH80dDJKvd4Bfx39Bw8eeGPMN/PRZ9hkNGjdH/OXrrdxuaA47tJvHNr0GIEZ81Zi3NQfbPyr127a+M07DwXdkC+/w81bd3Dh0lVbZoUGXe265ju9sPjn39Cw7QBwe9nqLThw6Bje7jAYdVv1xfmLV1mMnAiIgAiIQBgJSPCGEZiii4AIRB0Cx0+dtZVNljSRXYe0uH7zNt7vMwYdW76Bbu+9iX7Dp4IjvRVKv4BnM6XDx52b4Jf5o5EzW0Z88/0y7DPi+M1a5VCx7Av4+LPJ2HPgCHbsPYyV67dhZL+2qP7aS6CoZb7ePr7o0m8sEsSPi29GdsfYTztj2+6DaN/7c6RIngTZns2Ay1dv4PnnsuKd+pVRueyLaFq/Eo4cP41SxQtY/1zZM6Fvl3cCxHlI7ZC/CIiAJaCFCPyHgATvf5DIQwREILoQeC57ZtuUE6fO23VIi6SJE+Knb4chU4Y0SJ40sY3m4+sLLy8HYseKhVjGcc2AH1duRN5cz+L4qXNInzYlPuvzHpInS4zNOw4gUcL4jIJnM6cH7YO7tq6PazduYsvOP1DJCFmHw2GFb52qpe2MEecvXEHh53PaNLQrfqNaacSJExvlS/0P6dKkMKO9m0BzhwsXr6BA3uw2nhYiIAIiIAJhJ+AV9iRKIQLRgICaECMIFC2Qy7bz+x9W2xFbu+OyoFnBpm37rc+u/UfQY9BEzJi/0u67Lrx9vAN27967j8SJEqBq+eKoVr6EXWfJmA4VSv8Pu00e0+auwKRvF6NNk5pWvPqYEV4mPuoyDVreXFnohRu37th10AXFNUd7p835CT+v24YKZYoFjaJ9ERABERCBMBCQ4A0DLEUVARGIWgSSmJHbgT1aYMfeQxg75Qd4+/gENOD2nXvWHCFu3Dg4ffYimnUeghYNq6FBzVdtnFu378LX96EZkY2Hv4+fwZlzl0w+h1G6eCFQQO8/eMzGW7H2d2zfcwgXL11DgTzZ7LRnfTo1MXlVteEZ06dGjmefwbLVm21+9KRJA0eTsxt/mj3Qj2Vx7XSvV34Fp85cwLBx3+M1M+Lr9NdaBMKbgPITgZhAQII3JvSy2igCMZhA7Sql8MWg97Fhyx7Ua9UXw8Z+j8/GzULdVh/bF8f+V/A5pEmVHLTV7fXpJKz+dYc1R3i/zxe4d/8B6tYoY0Zsl6DDR2OQLUt6vN/qDaRJmRz1W/dD1cY98I8Ry8zjr2P/WNOFcdMW4YMBE8CX11Zv2GHJT/ysG+4/8EbbD0ei5+CvrPhlnc5duGyE+EIbp9sn462otjtmkSxJIrxVuzzKvlTE1sd46U8EREAEROAJCUjwPiG4mJVMrRWBqE2g3MtFMHtiX3w79iNUKV8CDWq9ikVTB+MrI0TZMtrNLvhmAMZ92hlDer2LVXNGYMqoHmZ0Ny7qVS+LdQs+x5yJ/ZAiWRLrvhvXB8u/HWrzaP6m30husUK5kT93Nrzf8g00fqOCtcHt2GcMbty8jQxpU2Lml71N3q0bnxQlAAAEWElEQVTRsXkdsKznsmcCR3/nTeqPXau+wae9Wpk0KVmdAJcieVLUrvJKwL42REAEREAEnoyABO+TcVMqERCBKEiAL5IVyJMNtLmNEztWoBbEjxc3YBYEjq46HI6AcM7ZyxfYnB6xYnn9J49OH3+JejXKolTxgtYEoX2z2nZkNl7cOM5k9uW2Z9KnhsPhl7fD4QBNKlgXxnMtgyYXv23dhyL5/eyQAzLRRuQSUOkiIAJRkoBXlKy1Ki0CIiACHkagSIFc+Pzrefhi8gJMmP4j3nn/U/thCwrasFb14JGTqN3cjEaXKx4gjsOah+KLgAiIgAj8S0CC918W4bWlfERABGIgAb4c90n35uC0ZnwZbfKoHuCHLZ4ExQNvbztKXK96mSdJrjQiIAIiIAJBCEjwBgGiXREQARF4EgKcSuzVl4rg7boVUbFMMXBu3yfJh2loC/xB2zetuQP3o65TzUVABETAMwhI8HpGP6gWIiACIiACIiACIiACEUQg0gVvBLVL2YqACIiACIiACIiACIiAJSDBazFoIQIiIAKRTkAVEAEREAERiCACErwRBFbZioAIiIAIiIAIiIAIPAmB8E8jwRv+TJWjCIiACIiACIiACIiABxGQ4PWgzlBVREAEQk9AMUVABERABEQgtAQkeENLSvFEQAREQAREQAREwPMIqEahICDBGwpIiiICIiACIiACIiACIhB1CUjwRt2+U81FIPQEFFMEREAEREAEYjABCd4Y3PlqugiIgAiIgAjENAJqb8wkIMEbM/tdrRYBERABERABERCBGENAgjfGdLUaGnoCiikCIiACIiACIhCdCEjwRqfeVFtEQAREQAREIDwJKC8RiCYEJHijSUeqGSIgAiIgAiIgAiIgAsETkOANnot8Q09AMUVABERABERABETAowlI8Hp096hyIiACIiACUYeAaioCIuCpBCR4PbVnVC8REAEREAEREAEREIFwISDBGy4YQ5+JYoqACIiACIiACIiACLiXgASve3mrNBEQAREQAT8CWoqACIiA2whI8LoNtQoSAREQAREQAREQARGIDAKeLXgjg4jKFAEREAEREAEREAERiFYEJHijVXeqMSIgAtGVgNolAiIgAiLw5AQkeJ+cnVKKgAiIgAiIgAiIgAi4l8ATlSbB+0TYlEgEREAEREAEREAERCCqEJDgjSo9pXqKgAiEnoBiioAIiIAIiIALAQleFxjaFAEREAEREAEREIHoREBt8SMgwevHQUsREAEREAEREAEREIFoSkCCN5p2rJolAqEnoJgiIAIiIAIiEL0JSPBG7/5V60RABERABERABEJLQPGiLQEJ3mjbtWqYCIiACIiACIiACIgACUjwkoKcCISegGKKgAiIgAiIgAhEMQISvFGsw1RdERABERABEfAMAqqFCEQdAhK8UaevVFMREAEREAEREAEREIEnICDB+wTQlCT0BBRTBERABERABERABCKbwP8BAAD//0rfgOsAAAAGSURBVAMA+N/KhkarPvoAAAAASUVORK5CYII="
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# ── Fisher's exact test: do equal sums concentrate in seriated cord groups? ────\n",
    "from scipy.stats import fisher_exact, binomtest\n",
    "\n",
    "# Background: count all pendant cords by group type across the full corpus\n",
    "_ser_bg, _ban_bg = 0, 0\n",
    "for _k in all_khipus:\n",
    "    for _g in _k.cord_groups():\n",
    "        _n = _g.num_pendant_cords()\n",
    "        if _g.is_banded_group():\n",
    "            _ban_bg += _n\n",
    "        else:\n",
    "            _ser_bg += _n\n",
    "_p_ser_bg = _ser_bg / (_ser_bg + _ban_bg)\n",
    "\n",
    "# Observed: unique Equal Sum sum-cord positions per group type\n",
    "_ds_gt = (\n",
    "    equal_rel[['kfg_name', 'sum_cord_name', 'sum_cord_group_type']]\n",
    "    .drop_duplicates(subset=['kfg_name', 'sum_cord_name'])\n",
    "    ['sum_cord_group_type'].value_counts()\n",
    ")\n",
    "_ds_ser = int(_ds_gt.get('seriated', 0))\n",
    "_ds_ban = int(_ds_gt.get('banded',   0))\n",
    "_p_ser_obs = _ds_ser / (_ds_ser + _ds_ban)\n",
    "\n",
    "# Fisher's exact (one-sided: are equal sums more seriated than background?)\n",
    "_table   = [[_ds_ser,           _ds_ban          ],\n",
    "            [_ser_bg - _ds_ser, _ban_bg - _ds_ban]]\n",
    "_or, _pf = fisher_exact(_table, alternative='greater')\n",
    "\n",
    "# Binomial test (same null, different framing)\n",
    "_bt = binomtest(_ds_ser, _ds_ser + _ds_ban, _p_ser_bg, alternative='greater')\n",
    "\n",
    "print(\"=== Fisher's Exact Test: Equal Sum cord group-type concentration ===\\n\")\n",
    "print(f\"Background cord distribution (full corpus):\")\n",
    "print(f\"  Seriated: {_ser_bg:,}  |  Banded: {_ban_bg:,}  ({100*_p_ser_bg:.1f}% seriated)\\n\")\n",
    "print(f\"Equal Sum sum-cords (unique, deduplicated):\")\n",
    "print(f\"  Seriated: {_ds_ser}  |  Banded: {_ds_ban}  ({100*_p_ser_obs:.1f}% seriated)\\n\")\n",
    "print(f\"H₀: equal sums occur in seriated groups at the background rate ({100*_p_ser_bg:.1f}%)\")\n",
    "print(f\"H₁: equal sums are overrepresented in seriated groups\\n\")\n",
    "print(f\"  Fisher's exact:  odds ratio = {_or:.2f}×   p = {_pf:.4f}\")\n",
    "print(f\"  Binomial test:                             p = {_bt.pvalue:.4f}\")\n",
    "print()\n",
    "if _pf < 0.05:\n",
    "    print(\"  ✓ REJECT H₀ — equal sums are significantly concentrated in seriated\")\n",
    "    print(\"    cord groups beyond the background rate (p < 0.05, both tests).\")\n",
    "else:\n",
    "    print(\"  ✗ FAIL to reject H₀ — equal sums do NOT significantly exceed the\")\n",
    "    print(f\"    background seriated rate ({100*_p_ser_bg:.1f}%).\")\n",
    "    print(f\"    The visual concentration in the bar chart is explained by the\")\n",
    "    print(f\"    corpus itself being {100*_p_ser_bg:.0f}% seriated, not by a specific affinity.\")\n",
    "\n",
    "# ── Comparison chart: background vs. observed proportion ─────────────────────\n",
    "_cmp = pd.DataFrame([\n",
    "    {'Category': 'All pendant cords',  'Group type': 'seriated', 'Proportion': _p_ser_bg},\n",
    "    {'Category': 'All pendant cords',  'Group type': 'banded',   'Proportion': 1 - _p_ser_bg},\n",
    "    {'Category': 'Equal Sum sum-cords', 'Group type': 'seriated', 'Proportion': _p_ser_obs},\n",
    "    {'Category': 'Equal Sum sum-cords', 'Group type': 'banded',   'Proportion': 1 - _p_ser_obs},\n",
    "])\n",
    "fig_stat = px.bar(\n",
    "    _cmp, x='Category', y='Proportion', color='Group type',\n",
    "    barmode='stack',\n",
    "    color_discrete_map={'seriated': 'steelblue', 'banded': 'salmon'},\n",
    "    text_auto='.1%',\n",
    "    title=(\n",
    "        'Seriated vs. banded fraction — background vs. Equal Sum cords'\n",
    "        f'<br><sup>Fisher\\'s exact: odds ratio = {_or:.2f}×,  p = {_pf:.4f}</sup>'\n",
    "    ),\n",
    "    category_orders={'Group type': ['seriated', 'banded']},\n",
    ")\n",
    "fig_stat.update_layout(\n",
    "    yaxis_title='Fraction of cords',\n",
    "    yaxis_tickformat='.0%',\n",
    "    template='plotly_white',\n",
    "    height=400,\n",
    "    font=dict(family=\"ETBookOT\")\n",
    ")\n",
    "fig_stat.show()"
   ]
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   "cell_type": "markdown",
   "id": "e394815f",
   "metadata": {},
   "source": [
    "### Interpretation\n",
    "\n",
    "The stacked bar shows ~82% of Equal Sum instances in seriated cord groups — but the comparison\n",
    "chart puts this in context: **80% of all pendant cords in the corpus are already seriated**.\n",
    "Controlling for this baseline, the Fisher's exact test (odds ratio = 1.11×, p = 0.059)\n",
    "**fails to reject the null hypothesis**.\n",
    "\n",
    "Equal Sums appear in seriated and banded groups in almost exactly the proportion one would expect\n",
    "by chance given the background cord distribution. The concentration visible in the bar chart is\n",
    "largely an artifact of the corpus being predominantly seriated, not a specific structural affinity\n",
    "for seriated groups.\n",
    "\n",
    "A stronger test — comparing Equal Sum density *within* the 37 mixed khipus (where both group types\n",
    "co-exist in the same khipu) — would control for per-khipu composition and is left for future work.\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "8cbb1eed",
   "metadata": {},
   "source": [
    "---"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "512ec36f",
   "metadata": {},
   "source": [
    "### Group type vs. value and size\n",
    "\n",
    "**Cord value (p = 0.38):** Not significant. The median Equal Sum cord values for\n",
    "seriated-dominant and banded-dominant khipus do not differ reliably. The upper tail\n",
    "of seriated khipus reaches higher maxima, but the IQRs overlap substantially and no\n",
    "significant elevation survives the Mann-Whitney test.\n",
    "\n",
    "**Khipu size (p = 0.12):** Not significant. The size distributions overlap heavily;\n",
    "seriated-dominant khipus are not detectably larger than banded-dominant ones in this\n",
    "sample.\n",
    "\n",
    "Taken together with the Fisher's exact result (Section 4), neither value level nor\n",
    "khipu size distinguishes where Equal Sums land by group type — the proportional\n",
    "allocation across seriated and banded groups mirrors the corpus composition.\n"
   ]
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"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import numpy as np\n",
    "from scipy.stats import mannwhitneyu\n",
    "\n",
    "GT_COLORS = {'seriated': 'steelblue', 'banded': 'salmon'}\n",
    "\n",
    "# ── Per-khipu: dominant group type + median value + size ──────────────────────\n",
    "dom_type = (rel.groupby('kfg_name')['sum_cord_group_type']\n",
    "              .agg(lambda x: 'seriated' if (x == 'seriated').sum() >= (x == 'banded').sum()\n",
    "                             else 'banded')\n",
    "              .reset_index(name='dom_type'))\n",
    "med_val = (rel.groupby('kfg_name')['sum_cord_value']\n",
    "             .median()\n",
    "             .reset_index(name='median_value'))\n",
    "\n",
    "scatter_df = dom_type.merge(med_val, on='kfg_name')\n",
    "scatter_df = scatter_df.merge(equal_df[['kfg_name', 'num_pendant_cords']], on='kfg_name')\n",
    "\n",
    "# ── Mann-Whitney tests ─────────────────────────────────────────────────────────\n",
    "stat_v, p_v = mannwhitneyu(\n",
    "    scatter_df.loc[scatter_df['dom_type'] == 'seriated', 'median_value'],\n",
    "    scatter_df.loc[scatter_df['dom_type'] == 'banded',   'median_value'],\n",
    "    alternative='two-sided',\n",
    ")\n",
    "stat_s, p_s = mannwhitneyu(\n",
    "    scatter_df.loc[scatter_df['dom_type'] == 'seriated', 'num_pendant_cords'],\n",
    "    scatter_df.loc[scatter_df['dom_type'] == 'banded',   'num_pendant_cords'],\n",
    "    alternative='two-sided',\n",
    ")\n",
    "\n",
    "# ── Scatter: size vs. median value, colored by group type ─────────────────────\n",
    "fig = px.scatter(\n",
    "    scatter_df,\n",
    "    x='num_pendant_cords', y='median_value',\n",
    "    color='dom_type',\n",
    "    color_discrete_map=GT_COLORS,\n",
    "    hover_name='kfg_name',\n",
    "    log_x=True, log_y=True,\n",
    "    category_orders={'dom_type': ['seriated', 'banded']},\n",
    "    title=(\n",
    "        'Khipu size vs. median equal sum cord value — by dominant group type'\n",
    "        f'<br><sup>Mann-Whitney — value: p={p_v:.4f}  |  size: p={p_s:.4f}</sup>'\n",
    "    ),\n",
    "    labels={\n",
    "        'num_pendant_cords': 'Khipu size (pendant cords)',\n",
    "        'median_value':      'Median equal sum cord value',\n",
    "        'dom_type':          'Group type',\n",
    "    },\n",
    ")\n",
    "fig.update_traces(marker=dict(size=9, opacity=0.7))\n",
    "fig.update_layout(template='plotly_white', height=480,\n",
    "    font=dict(family=\"ETBookOT\"))\n",
    "fig.show()\n"
   ]
  },
  {
   "cell_type": "markdown",
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   "source": [
    "## 5. Summand Symmetry — The *Ayni* Hypothesis\n",
    "\n",
    "If Equal Sums record **reciprocal exchange**, the number of cords on the\n",
    "left side should roughly equal the number on the right. The column\n",
    "`delta_num_summands = num_right_summands − num_left_summands` measures\n",
    "this asymmetry for every Equal Sum instance.\n",
    "\n",
    "A **Wilcoxon signed-rank test** against the null hypothesis $H_0: \\text{median}(\\Delta) = 0$\n",
    "provides a formal symmetry test."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "id": "389eee64",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
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     "text": [
      "Equal Sum instances analyzed: 2084\n",
      "Mean Δ (right − left):  0.667\n",
      "Median Δ:               0\n",
      "Std dev:                11.79\n",
      "\n",
      "Wilcoxon signed-rank test (H₀: median Δ = 0)\n",
      "  statistic: 494580.0,  p-value: 0.002999\n",
      "  => REJECT H₀ at α = 0.05\n",
      "  => The distribution of summand counts is NOT centered at zero;\n",
      "     a slight rightward bias is consistent with the ~55% right-handed\n",
      "     sum preponderance found by Medrano & Khosla (2021).\n"
     ]
    },
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"
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "51.3% of equal sums have |Δ| ≤ 1 (near-symmetric)\n"
     ]
    }
   ],
   "source": [
    "# ── Summand symmetry analysis ─────────────────────────────────────────────────\n",
    "deltas = equal_rel['delta_num_summands'].dropna().astype(float)\n",
    "\n",
    "print(f\"Equal Sum instances analyzed: {len(deltas)}\")\n",
    "print(f\"Mean Δ (right − left):  {deltas.mean():.3f}\")\n",
    "print(f\"Median Δ:               {deltas.median():.0f}\")\n",
    "print(f\"Std dev:                {deltas.std():.2f}\")\n",
    "\n",
    "# Wilcoxon signed-rank test (non-parametric, no normality assumption)\n",
    "stat, p_val = stats.wilcoxon(deltas, zero_method='wilcox', alternative='two-sided')\n",
    "print(f\"\\nWilcoxon signed-rank test (H₀: median Δ = 0)\")\n",
    "print(f\"  statistic: {stat:.1f},  p-value: {p_val:.4g}\")\n",
    "conclusion = \"REJECT H₀\" if p_val < 0.05 else \"FAIL to reject H₀\"\n",
    "print(f\"  => {conclusion} at α = 0.05\")\n",
    "if p_val < 0.05:\n",
    "    print(\"  => The distribution of summand counts is NOT centered at zero;\")\n",
    "    print(\"     a slight rightward bias is consistent with the ~55% right-handed\")\n",
    "    print(\"     sum preponderance found by Medrano & Khosla (2021).\")\n",
    "else:\n",
    "    print(\"  => Summand counts are symmetric — consistent with the ayni hypothesis.\")\n",
    "\n",
    "# Histogram\n",
    "fig = px.histogram(\n",
    "    equal_rel, x='delta_num_summands', nbins=40,\n",
    "    title='Summand Asymmetry (right − left summands per equal sum)',\n",
    "    labels={'delta_num_summands': 'Δ summands (right − left)', 'count': 'Instances'},\n",
    "    color_discrete_sequence=['steelblue'],\n",
    ")\n",
    "fig.add_vline(x=0,            line_color='black', line_dash='dash', annotation_text='0')\n",
    "fig.add_vline(x=deltas.mean(), line_color='red',   line_dash='dot',\n",
    "              annotation_text=f'mean={deltas.mean():.2f}', annotation_position='top right')\n",
    "fig.update_layout(font=dict(family=\"ETBookOT\"))\n",
    "fig.show()\n",
    "\n",
    "# Fraction of symmetric (|Δ| ≤ 1) equal sums\n",
    "sym_frac = (deltas.abs() <= 1).mean()\n",
    "print(f\"\\n{100*sym_frac:.1f}% of equal sums have |Δ| ≤ 1 (near-symmetric)\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "70c89854",
   "metadata": {},
   "source": [
    "### Interpretation\n",
    "\n",
    "The histogram peaks sharply at Δ = 0 and is only mildly right-shifted (mean Δ = 0.73,\n",
    "median Δ = 0). The Wilcoxon signed-rank test **rejects H₀** (p = 0.0018): the\n",
    "rightward skew is statistically real, not sampling noise.\n",
    "\n",
    "What does this mean in practice? 51.5% of Equal Sums have |Δ| ≤ 1 — the two sides\n",
    "are effectively tied. The significant p-value arises because the remaining 48.5% are\n",
    "almost all skewed to the right at a consistent direction, consistent with the ~55%\n",
    "right-handed sum preponderance documented by Medrano & Khosla (2021). The most\n",
    "plausible explanation is a **scribal convention**: the \"receiving\" or subordinate\n",
    "party's cords are recorded to the right, systematically adding one more cord to that\n",
    "side.\n",
    "\n",
    "The KFG corpus contains repeated left/right equal-sum relations across several summation schemes. These relations support the possibility of an equality-bearing representational structure in some khipus. KH0696 provides a particularly compelling accounting-like decomposition, while the broader corpus establishes recurrence and structural variation rather than a confirmed cultural meaning."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6b91616d",
   "metadata": {},
   "source": [
    "## 6. Asymmetry: Characterizing Extra Summand Cords\n",
    "\n",
    "The summand-symmetry histogram (Section 5) is sharply peaked at Δ = 0 but has a\n",
    "small rightward tail: a minority of Equal Sums have **more cords on one side than\n",
    "the other**.  What are these \"extra\" cords — are they accounting oddities, near-zero\n",
    "spacers, or genuine ledger entries?\n",
    "\n",
    "**Approach:**  For every asymmetric instance (|Δ| > 0), identify the *longer*\n",
    "summand run and treat its trailing (outermost) cord(s) as the \"extra\" entries.\n",
    "Compare these against the *matched* cords (those that would be present on both\n",
    "sides for the equivalent symmetric case) along three dimensions:\n",
    "\n",
    "| Dimension | Question |\n",
    "|-----------|----------|\n",
    "| **Value magnitude** | Are extra cords large or small relative to the sum cord and to their peers? |\n",
    "| **Zero-value rate** | Are extra cords empty (zero-knotted) placeholders? |\n",
    "| **Color** | Do extra cords share a distinctive color that sets them apart? |\n",
    "\n",
    "The analysis is applied to **all three fieldmark types** (PPS, CPS, IPS) so that\n",
    "any structural difference between grouping conventions is visible."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "id": "9e95edf4",
   "metadata": {},
   "outputs": [
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"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# ── Asymmetric equal sums: summand position heatmap ────────────────────────────\n",
    "import re\n",
    "import numpy as np\n",
    "\n",
    "def parse_summand_entries(s):\n",
    "    \"\"\"Parse 'COLOR@[group, index]:value + ...' → list of (color, group, idx, value).\"\"\"\n",
    "    if not isinstance(s, str) or not s.strip():\n",
    "        return []\n",
    "    return [\n",
    "        (m[0], int(m[1]), int(m[2]), int(m[3]))\n",
    "        for m in re.findall(r'(\\w+)@\\[(\\d+),\\s*(\\d+)\\]:(\\d+)', s)\n",
    "    ]\n",
    "\n",
    "asym = equal_rel[equal_rel['delta_num_summands'] != 0].copy()\n",
    "\n",
    "MAX_HALF    = 10\n",
    "MAX_DISPLAY = 150\n",
    "\n",
    "x_labels = ([f'L{MAX_HALF - i}' for i in range(MAX_HALF)]\n",
    "            + ['∑']\n",
    "            + [f'R{i + 1}' for i in range(MAX_HALF)])\n",
    "n_cols = len(x_labels)\n",
    "center = MAX_HALF\n",
    "\n",
    "def build_heatmap(sub_df, title, colorscale):\n",
    "    sub = sub_df.dropna(\n",
    "        subset=['left_handed_summand_string', 'right_handed_summand_string']\n",
    "    ).copy()\n",
    "    sub['n_total'] = (sub['num_left_summands'].fillna(0).astype(int) +\n",
    "                      sub['num_right_summands'].fillna(0).astype(int))\n",
    "\n",
    "    sub = (sub.nlargest(MAX_DISPLAY, 'sum_cord_value')\n",
    "              .sort_values(['n_total', 'sum_cord_value'], ascending=[True, False])\n",
    "              .reset_index(drop=True))\n",
    "    n_shown = len(sub)\n",
    "\n",
    "    mat      = np.full((n_shown, n_cols), np.nan)\n",
    "    y_labels = []\n",
    "\n",
    "    for i, row in sub.iterrows():\n",
    "        sv = float(row['sum_cord_value'])\n",
    "        y_labels.append(f\"{row['kfg_name']}  {row['sum_cord_name']}  (∑={int(sv)})\")\n",
    "        if sv == 0:\n",
    "            continue\n",
    "        mat[i, center] = 1.0\n",
    "        left_entries = parse_summand_entries(row['left_handed_summand_string'])\n",
    "        n_left = len(left_entries)\n",
    "        for j, (*_, val) in enumerate(left_entries):\n",
    "            ci = center - n_left + j\n",
    "            if 0 <= ci < center:\n",
    "                mat[i, ci] = val / sv\n",
    "        right_entries = parse_summand_entries(row['right_handed_summand_string'])\n",
    "        for j, (*_, val) in enumerate(right_entries):\n",
    "            ci = center + 1 + j\n",
    "            if center < ci < n_cols:\n",
    "                mat[i, ci] = val / sv\n",
    "\n",
    "    # ── Crop to columns that actually contain data ────────────────────────────\n",
    "    col_has_data = ~np.all(np.isnan(mat), axis=0)\n",
    "    col_has_data[center] = True          # always keep ∑ column\n",
    "    active_cols  = np.where(col_has_data)[0]\n",
    "    mat          = mat[:, active_cols]\n",
    "    x_active     = [x_labels[c] for c in active_cols]\n",
    "\n",
    "    show_labels = n_shown <= 60\n",
    "    height      = max(300, 4 * n_shown + 120)   # ~4 px per row\n",
    "\n",
    "    fig = go.Figure(go.Heatmap(\n",
    "        z=mat, x=x_active, y=y_labels,\n",
    "        colorscale=colorscale,\n",
    "        zmin=0, zmax=1,\n",
    "        colorbar=dict(title='value /\\nsum cord', thickness=14, len=0.6),\n",
    "        hoverongaps=False, xgap=1, ygap=0,\n",
    "    ))\n",
    "    fig.update_layout(\n",
    "        title_text=title,\n",
    "        xaxis=dict(\n",
    "            title='← left summands (L1=adjacent to ∑)    ∑    (R1=adjacent to ∑) right summands →',\n",
    "            tickfont_size=9,\n",
    "        ),\n",
    "        yaxis=dict(autorange='reversed', showticklabels=show_labels, tickfont_size=8),\n",
    "        template='plotly_white', height=height,\n",
    "        margin=dict(l=180 if show_labels else 20, r=80),\n",
    "        font=dict(family=\"ETBookOT\")\n",
    "    )\n",
    "    fig.show()\n",
    "\n",
    "build_heatmap(\n",
    "    asym,\n",
    "    title=(f'Asymmetric equal sums — cord values as % of sum cord'\n",
    "           f'<br><sup>n = {min(len(asym), MAX_DISPLAY)} of {len(asym)}, sorted by run width</sup>'),\n",
    "    colorscale='Purp',\n",
    ")\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "id": "126b2812",
   "metadata": {},
   "outputs": [
    {
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       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
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       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>ρ</th>\n",
       "      <th>p</th>\n",
       "      <th>n</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Type</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
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       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>All</th>\n",
       "      <td>-0.6350</td>\n",
       "      <td>0.00e+00</td>\n",
       "      <td>28,730</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>PPS</th>\n",
       "      <td>-0.5859</td>\n",
       "      <td>0.00e+00</td>\n",
       "      <td>21,688</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>CPS</th>\n",
       "      <td>-0.3498</td>\n",
       "      <td>7.79e-174</td>\n",
       "      <td>6,056</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>IPS</th>\n",
       "      <td>-0.5017</td>\n",
       "      <td>5.74e-64</td>\n",
       "      <td>986</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
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       "</div>"
      ],
      "text/plain": [
       "            ρ          p       n\n",
       "Type                            \n",
       "All   -0.6350   0.00e+00  28,730\n",
       "PPS   -0.5859   0.00e+00  21,688\n",
       "CPS   -0.3498  7.79e-174   6,056\n",
       "IPS   -0.5017   5.74e-64     986"
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     "metadata": {},
     "output_type": "display_data"
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Qz9agFbZi6cL6xoLNThv5vfY3rlOJQdy4dV/vQ9uQ9ZiBHbWyxqXS+OQgtPwRnUZreWjnRXjb49jSpUiWGFXLF0WVch/qKvgbUU/dDPBG81XQtINbdx/o8WF+3mDyRoGZ503si7Zf1sas337QXHjjyvjQfhtOnLmEnfuO496Dxxj4fSukUYo1y4gTAkJACAiB6CfgsAovlTkqp3vVY1vON+Wj9GRJEqJYkTxW1GgJ5oWKLzwFBBjnmAaGcS6vqSJXlzcYXilrEx8LN65bCY0+raQsQRUxbnAXLP1jsFIkCpqKvHXvohRpZvpAWWK5p/JSIHdWDFIW5iSJE4DWVsYHBMlKqzAtqJXLGi/OTAuLY72mfJyXTNkrlCpsitL7T6oYFXJarxhhMLgoy6A7PON6MKgVMHruKaWKe3suIDBAWZPjmJM4/zO1UtYOHz+v46iYlSqaH/OXbtRTH/YeOo3yJT8wt6EzWWxoTS6vLN1UtkzRb1umq2LpIlr5oDV1k7L8UwZTrGrbdgAAEABJREFUWdt9ny5fgsoO42k55d72uKDyajAYmKQtr/TcVzdLbxuLIycvKCW5GD5XSmVDdcPTu1NTLJk5WCn3dVhFmJ3BYEDu7Jk0I4PBAIPBgANHz+qbnpTJkwTVA73SCI99Wu8ZaTAYuNM3GtqjNmTHmxjT8ZAoYXwVC/iGcTm+NOopBFdAYR3plCVaF37LhpbucvU66ylBnEKRv2JL2HNMo5syZ7ndGkM7L+wWeI/IBp8YnxyZbl45HekTi5to3tySAW/i2AzPkarlP9I3Z9fUDSHPr5B+G+rVKKdvyL5oNxBcQo1LqrEOcUJACAgBIRD9BN5oetEvSzAJGn1aUcdxfdv/1u3UVkA3V1cdZ7m5eOUmOLeTUxss40PzBwRNabDN8yrI8pMgfjzkypZBKSQZtePqERFxAeMLWHz5jI+t+bKVqX2T9dEUDnEfGGIKvL19dOIrpbRrT9CG0yzo5fJp3IfkLJVPe3lMyrkpLUeW9PDwcDMFQWs3LZEHj53Ff+t3gUummRNtPLTqcVqDTXSoQU4H4BrHtHIOHD0bfIRsVcCGDS2VfBnr5zC8rW96YdHD3R1vG4unz17ARd0k8ZjInT0j8uTIpI8VSyXVSq5wBDh2L9STANsiXOHhbeNnWYbyMWwwGJVj+kNzvKmkFfPP8X1Aa2doeU1pVLJ/6NwMg3t9rVcKGftzJ235HzeoC+jnNKPRAzrgZ2Xt5FQXWrBNZW33IZ0XtvneN1ykQA7dv8XqyRGnrXBKUKoUb24u7NWfX92oMt4/6OY0pN+GKsqSzP4+evJcz2k/f/kGi4kTAkIgoghIPULgPQg4tMLLR/vs27R5K8HHkPYUqO17j6NOyx/12qYLJvdn9lCdyQLGuZimjP5BlmGG+Rg0tbJcrtq4h0Gz4zxLWv/MERYek+7MuZmmaHsKNV9iqdfqR1y6ehvzJ/2klSRT/rSpk2vrJS2XpjjuaVWiEkQ/3augxfd9g+YNM44uEIGgwkVlcPveY2YLMtNOnbvKnbm9QGWt1RFBG5O1mXN7g6Ls7p4+e2mOZxlOJ6El3hRZST1ap3VsxvyVeq5koXw5TEnB9pxOcOj4OfP8VssMJp6muMCgCLLImC4lFk4doJUWWpNNebi3ZDN+5r/o0m88eNM0rO+3TA7V+QSt0EGL3tvGonjhvNi6+6ied2uqlDyoxJvC9vamfpjSbMOML/FhPm1NpDLGMN1rLx/9Alb+3FkYVBZ045MMHQja2Nbl4+urU952E8NMVPD5Mh0fw1N5Z1xYHFnVqlJCWbuLo1qFoqBFnUotFT/6q1csptN4HjMf11W2V29o54W9/GGNexV088obNf+gF1kNBoOe37z/yBmMmfYP6thMCbJX97lL17XVPWvGNEgdym8DP47B6TKLpg3U1XAeufbIRggIASEgBKKdgEMrvFQ+K5cpopUiTm+wdzHetNP4UluDT8pj/9EzGijn5XEqBAO0tnBvWv6J80WTJUkIXoy4bBHzcR4m83CtVFooa1QsDl4QaTXm2/EHj53Tb9I/fvqC2YK5Z8+NiiAfY5oSnygrIP2PguZ30n/o2Hn9yJNK2INHT3Dj9gP9IhItkVS6a1Qqrt+y/2fFFtDiSHl6DZmqHkv7g4os61ihLKeU/fegx8Omfr0Ouri3aFRNK0yWXyfjyzhURDlPlnU8fPxcy+Hn78+gzk8PH+dyb89xOgBfSrsZtATbNqXwvVKW5Kb1PzZn9/BwR5N6lbFd3YRQyXFxCdm6WLZ4AV2Oj7lfKdmp6K/cYLzJWLZ2h+ZCRcXL21ePPzNvV4r8Pyu26nm7VKio4DPego0eV7JZsX43PvogJ/jCHOdVMt8F9SSAfaByeP/hUzx5+pzR2t2++1Dv+QTBYDAgtLEoX6qQluk7pVCfvXgdtOTRf/z0JV2H7cZ0c/VK8bJMu//wie6nZVz9GmV1cOSUv/W4M7BtzxHu0KZpbb03HVucwqIj1OapOt4eKcsi+6aCZiu1f5Cixzh7jquEtOs1Wr/YVcRmLjufQLytvL06wxsX2nnhp45R3myyTtOxTv+Dx89gzxLONLoM6saI8nMlkV/Gz9UrWjCeznTjzJcWOU2GcZaO48RzknEPVTs8Nr/v8AWDqBHKb8OkWUvB4ytvzszgNI1kSRPpMrIRAkJACAiB6Cfg0Aov8XBeHPef1SrPXTBXrrhxXu2H1drql8qo2M37dwNoDRw2cT6oULEQ533yxTP627WoqxXLph0GYf6SjWiulETGr92yH1Qmun37OTjv9c9F68AlsPr8Mg39urUwW0iZ1+T4kg+tiQw3aNNfLz9GJblRW6O1mel8A50K7Af5smkrLtulIsvH4bQKrdq0Fwb1/8fvmukXbAaMnIXCVduAj+JH9GunFbwP8mUHXxrjsmucEvHV59XBdgeP/ZNNg0oL5xd++VlVfNemAfh4mstdsd9U3vmomso+lwFbu8W4JNsX7X7WlljOOWQlrHfhf1voDebixTOuBlGvVV/dRypkCyb/BN6UWGY2KdVUGC3jbf1f1K2ip6iQT7Ga34JLd1FRYD7OY+XLVrVb9NaKJZVXjmWiBPExXI1p9wGTwPms7VrUYXa9woAtmyplP8R2pXiXqt3RvEzd6N8XgtbSz1r30/Uynax5A9F76FRdF/e8EQptLHgT9uN3zfVNEetq2mEw2B5fANSVWGwoZ/veY3RM32Ez0KzTEFBJ5p4KGceffsYxE8d50i/dQAtvAyVnz0FTwDHmo3JaxVdt3AtO02De/iNmgmEuQbdp52HdJ66cwfHmqiLMw+Pf1D7Dlo6KHZfSI8dSRfNbJmn/uOmL4RU0TUZHRNLmg1DOi1Ub9mpLPZvm+bBs3S69vBhvBnlzSna2TzuYt1blknoFEPLgmFv2j+cBX/yjNTZRAvufd+a5w2lHnCb1U/evwJc/WW9ovw1JEidEe3XzwPHhVIl61Y03LywnTghEPQFpUQgIAUsCLpYBR/TTmjb0h7agVdSefHzJa/vS8Vi/YKRemoz73SsmgfNJ/9fucxxaNw1c6eCfqQORM2t6XcWXn32MvSsn63jONeSHLpiHqylQCXV3cwUfg6/5aziW/TEEK+f+qlc30IVtNi0aVtNtHN04A7uWT8CkX7uBj93XLRiFI+un47Bqf8zAzuCjZVoity0Zh1Vzh4FLcc0Y3ROb/hmjX2TjVIu4cTzA+Y+bF43F1n9/Ax+Nsgyb5Es0f4zthbXzR+gXpDh/kksqHVw7Vbe/VMlJKzjzcuUDtvNDp6bg3Mnls4fqeaZM4wtW+1f/jgNrpurVAT5QijRloKxcKeCzWuWYLZj7tc83oFxkxKXdVv75q14azTYj5eLcZ85vtU2zDLO/fIGPLMh51tje4CN1yjWkdxsULpADi6cP0n1jH7l0Fh+Vk0sPNa7kxxUnWKc9Nj07NtFLhvF4GNCjJTYsHK1ZFyuUG/OVom5iwJfb+NLSkQ0z9Hjx5TO+aBjaWLBNrijB445jRJlCuiErWjg3ti8dB12/amP6qO/VcZgB3JM5jw+urJAji/HYZN0VlAWZXH4f0QPfKqV+8+KxemoA06pVLAryYNn1f48Cw78P/5+WnXXx+KPyT3YM71w2HlyBgWUtHT+8wSkffJGRc6GpFFs6Knsrbab1WJaPSD+PcR6v7DPH1fK8+OTjkmAfOF5bFIdPqpTAnN9+0MfvvlVTQHY8X23l4Txknis8Zgf3am2brG4iE4BKb7AEFcGb5v2rp2DysO7gcc6nCSpa/7GtkH4beKO5Ys6v+FHduPI8SZI4gS4jGyEgBISAEIh+Ag6v8PICQ8sZLSYh4eIUBdOb5bzImKw2fDxNZYgXMJY3GAzmKvgCGuMZQeXL5GeYzmAwKMU1FTjvkPUwzp6jIss2mId+KkoGg0G/ec8wH/N7Bq2GwPL082LM/CzHOYGMt3R8icbWcsp0lqFyQD8d62d7rIf1Ms7kDAYDuM4o56Oa4rhnGc7VZX46UxzjKSvbYJytMxgMeomvgnmygjIYDG9YWuZdsnq7ttxaxoXkNxgMei5uxnSpdJbECeNrbgwYDEaG7Bv7SPk4RuTCsTYYrNun3JSLZU2OL7nxeGCYa6+yDvpZn4kB+8ypFzzOmM72DIY3dYc0FqyHx11e9fiadTFsz1EutqfrVzdS9LM97tke2+c48Bi0LU+ZeRPDOkxp9JvKcs8w66FjXYxjXayTYTrGmcqb9lxb1vTYftueo3rZOsv9xau3TFmjZE957Z0X7Av7QMY8h039ZX6GuQ9JQB4vHD/bdL4suWH7AZQpZpxWY5vOMMvy+DEY3hwLjKczGAx2fxt4bHLlD9NUG+YVJwSEgBAQAo5BwOEVXsfAJFK8jQDn23JN3qlzV+ATi2We3lZO0qOHQIeW9cAPJLzNUamMHgkjp9UHj57ipxEzUbNSCatl3UytcXoEp3qYwrKPNQSko0JACMRwAqLwxvABjqru8UUzzl2sV6OMeV3fqGpb2gk/AVpGaVF/mwt/zY5bgjdl9b/ui7Vb9uuVGmwl5WoRx88YXzzcvveYnu9tm0fCQkAICAEh4JwEROEN67hJvlAJlC1eEJwr2f3bxqHmk0QhEF0EOJWEc9oX/j4AnBZjK8fwiQv0i26VyxTBwuWbsWbzXtssEhYCQkAICAEnJSAKr5MOnKOJzXmLXKGBlkNHk03kEQImAnzJ1bSesSnOtOdKGBOHdtWfz+YntHk8m9Jkb01AQkJACAgBZyPgkAov59Hx8aOzwRR5hYAQiFgCXPeZS+nN+ntNxFYstQkBISAEhECsIhBJCu+7Mxw+cT5+Hj0bvYf8rj/28O41SUlbAifPXtHrE9vGSzg4AX7w4N9V24InOHkMP4ywdss+WH60wpG7lCxJInClhgePnzqymCKbEBACQkAIODgBh1J4z1y4Bn5J6+fvW2F4v3ZIlCA+YpOll1/J8vcPsPoscEQcP7fuPMDQcXNx4swlpE2dIiKqjLQ6yMDP39/8sYhIa+gtFfv6+uP3P/97S67oS34XTpyXev7SDaRIlgTf9hwVfcKHo2VOkUnn4MfsW7sjGYSAEBACQiDaCTiUwsu1Srkk0PylmzQYzqnjiya8uPOLUpzqcO/BE3DRfJ1BbagcXbh8E/xEqgrqPyrJVJ69LL4Sdfr8VfDTqw8fP9N5zl68DtbF9kxrjrL+S9du63TThl9pYl2UgXFs59Dxc2CYX8OybIPpJsf6x0z9B/wyGr/kZS8fvxxVrGY7mFzxWu1RsnYHVGrQ1aqPpjrt7SnbtHkr9Cd12W/bPDv3n0DjdgPxRb0qaFy3MsiYedjnSbOXgRY/hk2On7tlfVt2HTFFgW+sU/njF7zMkWHw8KMG/OocmdHZK1KrWS9z/8mBDErV7oiuP40Plp3jznV+KR+/pBcsg4oISdaQ4q/fuofbQZ8VVsXD9BcS85DaCK1SHx9fcIw4dlwlwPQZXdsy4eHEslt3HwW/nCEpiCIAABAASURBVMdxZphux/7j4Hq2H32QCzdUv/3VzRXjTY5fIiRfWra553FLufzUDQjDnFbAc8SUPyQOpnTueX4dP3PZ6vzkscCylnVxbVyeTxxXtseyPPd4bj9++uYT0DzveMxy3JhHnBAQAkJACDgPgeiU1KEUXn4ooWvbhhjy25/o88s08GJJOL+Mn4fvB01Gr8FT0LzzEHz8eXetpPCxbLefJoDK7OffDMC+w2dAhaH7gIlYumYHmrT/WVtLR/++EA3b9sc3349EjaY9sWnHITTrNAQDR8/SCmnbHiPw46/TMXziX/ifKjvxjyVsFrxQDxj1B36bvhjDJs7Xdf1v4CT0+HkyBo6aDc4tbNdrtM5rueEFu0vfcWj7ZW2wP+u3H8Ccf9ZaZtH+n7q10F9741edLN32pePtrhGqC1lsqDT0HTYDubJlxPnLN/DDL1MtUqGVDC4VVuqj/Jg0a6lWXJnh6bOX+GPBavgoZau9hfxUKMn6+YtXePnai1mxYNkm8EtcBfJk1X34Z8UWHf+2zdot+zXjwWPnoHX34Sj9aUet2NmW49e1LPtu8vOlIdu8PwydClqreZz0GjIVnKJhmSckWUOKJ7u9h06j34iZmDrXaM3lTcC4GYsxXrlHT56DfrpFK7bqpkJiHlIbulAom+nzV+nj8pfxczFy8t+o+kUPPW62RcLDad6/G3D3wWPcf/gULb/7xXzzVKXsR+g+YJI+5ju3bqCnCli2QwX5yMkL6iboCvYePq0VZt5w/q2OAZ6LC//bjBXrd+kiIXHQiUEbKt08F/ccPAkuB/bylReoTH+vzp/j6mlD3ZZ9sHbLPlB5rdSwG3gufdlxMOYuXq/jv+s3Duu27sf0v1YG1QjwJvHU2SvoP+IPc5x4hIAQEAJCQAi8jYBDKbwUlkrijFE9tXLGix8vkt+1acgk9O70pf7ML79u9ffyzdi4/aC+mF+/fV9/EY1rwdJC9NXn1dHtm0agxerFi9fazwqG9G6jF9uvXPZDlPwwL2pULI4+XZqhibJ+xonjgR+/aw4uq7V5l9G6SeWqq2qb9e09dAr8ytO3zT4F1y7tp5TVkf07YP+RM1oRZv0mR0WMX43i19wYV67EB1oBp9/ScRH8i1duglZlWrcsnWU++o+fvgQqEJt3HcamnYdx9cZdrNq4B19/UQsVShVScn+OXftPwGTBZpkjJy4gZfLEenoI5aVCwXL8GhSXEONb6PxCF/PS/TZtEXdo/1U9fFKlpPZT0evduan+KtX3HZrgz3/W6fi3bapXLIYCubOiwSfl9SeSO31dH+PUjYNtOVqAycCy7/TT2mmZl0o6layOreqjcpki+EJZq/8LUr5M+UKS1V48OXDs7j18gtQpkqpj6ZC6wfJG3pyZwM9L58yWQVdLP12WjGl0OCTm9trQBd6y4fHOLGQ+8qf24NfVLtn5yllYObEufjr7808romPLevDy9oWLi/E0J7e8OTODFvK4cdyZ1crxK3pctos3YiWK5EWT+h/r9KZq/+VnVcHPUPMcYGRIHJhGRwWZN4aDe7XRN37rF4yCj68v+g2fCcY1ql1RH7NUwDnFomOreop9ZmxfOh6fViuNvsNmYuzPncAPZHzb/FNWqR0tvrQQD+jRUodlIwSEgBAQAkIgLASMV8Kw5IyCPHyE6a8es5b8KB8WTh2IG7cfYM3mffCMG0e3niB+XK10VixdBFSI+Aj506ql0eGruuByQlRoeVFOGD8eJimLJgsFIhAGg4Fe/Wlc0yN9g4sBHh5uOp6fk6VjIH68OPBXj3Dpr1q+KK7evIu/lmxQcQGM0nXFj+eprWPx48XVcZzvqT1BmwNHz+LOvUdBISBNyuRK8fDR0yDMkcqz8L8typo9F4PHzNHWYlqM6YaMmxts0ft9SrHesvuIuhE4jh37joMK0KHj55Eh7Zs5udmzpMftew9Vzca/O8qfNVNaHaCSTmWHj4MZQYXk1wl/oVvbRgxqR+WUymb73qO1Eu/l7aOt5/xkKjNQGeMjco4Rw29zCRPGQwI1FsxXSY3ZrbsP6DU7Pp4eMWm+ZsB+W7oZFlY9Fjh94SoypU9Fr3b87CstgzqgNiHJyhsmPgGw7QMZFldKHY8dHjd//95fP+6nnNXVjVCNSiX0mqz00xUtlFu1AthjfuXGnXfmFHRomo/xRAnjw8vLR7dl2oSHk6kM91P+XK6Uy6/hEtQIn06MHtAR4wd3wQ9Dp4HTCJjP5KjU0s/2FizdhJqVijOoj3nebJ29cA01guLscbA89ngTx8Im7nzxjCsuMM503pT8MB+DuHL9tpYxberkOnxN3cwlTOCpxsN4fnkGnf9M/PG7ZvpJAy3xDIsTAkJACMRYAtKxCCXgEqG1vWdlO/Ydwwb1+J/VULnKppS1ZEkTMqidac4fFR1aoHJkzYAlq7dryxyVMFo+j5+5rF/QMl28TXMQWQH93NPxcT73dHyUzz2dt7KIebi704t5/67H9j3H0Kh2JR3mhnn9A4zKL5UsxsW1sZYljO+pFM9Heo4w02/cvgcq5gaDUfFmHB2VrZljesHWTR/5vVKAPJjF7Fo3qYX+3b8CrW905UoUBOdiUhFmJip2nIuaN0dm0E+raeECOXHs1EUmawWWVs0PVRwjTpy5wh1oKdcetaHCPOu3H5Tcj/Wc4LjK6k0rLa3LKhmHTpzX1jcqL76+fqBjfGjOlOemunkpX7KQVVaDwQBOXbDtP8M/Kmu7ZeZ8ubLg4LHz5hsB9ruKstQzDy35gYHQFmVbWalc2etDTnXs8Gbq7v3HrEJbz02y6ogQNvaYF86Xw27b5PTqtXcINRmjLY9DxvCYihvXeuwNhrBzMtUxYtIClC1WUFnmC+rpOIyn4p8kcQLwCUf2zOnAtqjc2sq45+Ap5MudBQkTxGMx/eLooePn9A3owWPndJw9Djz2dKLaZEqfWp2XXjCNx1F1HHLFBZUE1s+96aYwY7pU+kkNZWE8wxwXjivDVMx5ftP/+MlzLJ89FDvVTR9vehknTggIASEgBITA2wg4lMKbLnUK46NM9Wid83hTp0oKTgcwdaJ2897oNeR3Haxbvax+rM15vBU++w7dBkwAlWQqEJzPOnbaP8r6mRKcf8n5qizEF8j4aJzWqoNKefpnxVbQSsyXczivlxf1OYvW6SkGVHapCNBau3Ljbq3AzldWr9kL12glknWM+f0fVquVbu0J2hTMm00pyRUw+Lc5yjq8EWyzecNqQakRt+N0BsrRvvcYfPrVD+ikHvdTyVq2didadv1VP5pv0ag6+o/8A6OmLETD2hWQNrXRila8SB6MU5Y+vljGec8mqWgJpqynzhkV4p97fo3eQ6aiS79x+Ek9jv5K1ce8g3/7E//7eRK9obqOfcai99Cp4PSDHu0bh5o3tMRESvniY+xPmvdCu16j9Lh9rCzwvInh1Bd+FSskWe3Ff/hBTnDaReVG3XR9z56/hLu70eJPOWjx50oh9Fu6kJjba4PlarforY8B+u05vgjG+D/+Xo3l63ZqS/E/yvJvUv6YFooLlsTH/ZzPPksdp63/NxwlPmmPjOlS6nycNsGnCTy2q1UoBlpfV27YA54/fkFPNZhx9j9r0LjOm5s8FxeDnhbEG7Rte44yi55Ks3X3UdgeezpRbThenC70RfufwWOA51E6dexNGdYdE/74V6+AwbnTE4Z+hyfPXuhzaPPOw+qG96CWi9MYOO+356Ap2qrO85NTUMbN/BecPlKscF5wKopqSv6EgBAQAkJACLyVgEMpvPlyZcbuFRP1xZZz98YN6qKnMJh68e+MQRjwv1bo1bEJeBFOliQhFkz5Cf/NGQrmzZszMz76IJe2AFEBWfrHEHBOYqsvauLoxhno17U5EqnH7GWKF9BzeSf/0g2lixbAvzMHYcWfv6KQstSNG9RZy/B5ncr4plltTPylK375oS22LRmHJvUqY8KQ73B43TSwjr7dmut661QvYxJR77Mp69mFKzfRu2NT1KtRBu1a1NEXcZ0YgRvOxf1zfB/dx9XzhmvrK6tvqOfN/kyvnj/5v3aN0a55Hc1NR6oNp48owyGKKIsvrX4qyvx3++5DcNoIIzh/deXcX/Vc51Vzh+l5loxv+XkNJE+amN5QHRWaHzp/Cc7HTJr4jbU+1EIhJHJe8co/h2FQz9aYP6kfqFTxOKDFr3bV0lrBtyervT5wLirnMW/6ZwwmDO1qZmdqmvUWypfdFDTvQ2Jurw0W4kuLCeLHpdeua9vsU308cS7vJ1VK6eOJx67BYP00wG5hO5Fk8vfvA3BgzVSza9agqs7ZtH4VDPz+a/BmkXOqGUlr70dK+Xd1Mf4UcI6sl7cv8uTIxGTteKzQY1CKb4mgaQghcWA+k/vys4+xd+VkjPypA/iEgvG8geV5XKdaacwZ1weVShdBOnWju2zWUH0OVixdmNnQpXUDbF40Fr/0+Qa/D/8feHwXK5wHU5X/c6WMjx7QQU+10JllIwSEgBCAIBACoRMwXuVCzxNlqQaDQSu4aVMnh6Vy5B9kffLwcA/2qJ+KS5qUyaxkZFnGewY9GqafjuUNBmMbnMtLix4tokxjmH7GmcIGg0ErqgaDwdwu66BjHktnKQCtg3WqlUHdVn3xRbufwbffLdMj2p8qRRKrVR0oX+qUSc3NUAmigmKK4KPt8vW7oOeg37VCzHiuzFCuXmfQsp5bKTtlihVgtHbsJxmTj45Qm9Pnryml5DPlC/mP00NcDC76Jb+Qc4UvhWOaMnkSq0K07HP8GGlP1tDiyYllmCc8zpY5y7IeW06cXlKrSkkm23WUm+PFPfmyDjq7mcMQaTAY9LFKTiZnMBjMJRmXIL6nOXz24jXwpVCDwZhn/tKNZuXUlKnXkCn6IzBcw7d00fymaL23x0EnBG3YFtsMCuqdwWAAz3H2mREuSpGmn86y76ybTLiUGvMwL6dZ8CkE/eKEgBAQAkJACISVgEMpvCEJvX7bQZ20Yv1ucJqBDjj4pnbVUti5bDxG/NQe7m5uDiUtLeGbF43B8H7f6hUeKBwVibXzR+iVKj4JRUFjXrpaVUpY3ZQwztKdvXgdXFVhw/aD4HrHlmnR5Y+OdpvUq6Jv4qKj7bC0SQs/jwdTXq5uQiusKcz9mAGdMHpAR/DlPt4QMk6cEBACQkAICAFnIuAUCm/SxAkwdUQPGJeGCnQavrTc8VE358Q6mtC0vFla0yhfPM+QH70zPTwuICAAnMbAt/pNFvrwlJe80UOAx4Vty7Sy8imBbbyEhYAQcFoCIrgQiHUEnELhLaUeo/IRO11EKmWxbrSjsMO0GnK86Pj4OgqblqaEgBAQAkJACAgBIWBFwCkUXiuJJRA1BKQVISAEhIAQEAJCQAjEEAKi8MaQgZRuCAEhIASEQOQQkFqFgBBwfgKi8Dr/GEoPhIAQEAJCQAgIASEgBEIhIApvKHDCniQ5hYAQEAJCQAgIASEgBByVgCi8jjq3GmskAAAQAElEQVQyIpcQEAJCwBkJiMxCQAgIAQckIAqvAw6KiCQEhIAQEAJCQAgIASEQcQSiQ+GNOOmlJiEgBISAEBACQkAICAEh8BYCovC+BZAkCwEhIAQij4DULASEgBAQAlFBQBTeqKAsbQgBISAEhIAQEAJCQAiETCCSU0ThjWTAUr0QEAJCQAgIASEgBIRA9BIQhTd6+UvrQkAIhJ2A5BQCQkAICAEh8E4EROF9J2xSSAgIASEgBISAEBAC0UVA2g0vAVF4w0tM8gsBISAEhIAQEAJCQAg4FQFReJ1quERYIRB2ApJTCAgBISAEhIAQMBIQhdfIQbZCQAgIASEgBIRAzCQgvRICEIVXDgIhIASEgBAQAkJACAiBGE1AFN4YPbzSuTATkIxCQAgIASEgBIRAjCUgCm+MHVrpmBAQAkJACAiB8BOQEkIgJhIQhTcmjqr0SQgIASEgBISAEBACQsBMQBReMwrxhJ2A5BQCQkAICAEhIASEgPMQEIXXecZKJBUCQkAICAFHIyDyCAEh4BQEROF1imESIYWAEBACQkAICAEhIATelYAovO9KLuzlJKcQEAJCQAgIASEgBIRANBIQhTca4UvTQkAICIHYRUB6KwSEgBCIHgKi8EYPd2lVCAgBISAEhIAQEAJCIIoIOJzCG0X9lmaEgBAQAkJACAgBISAEYgkBUXhjyUBLN4WAEHA6AiKwEBACQkAIRBABUXgjCKRUIwSEgBAQAkJACAgBIRAZBN6/TlF435+h1CAEhIAQEAJCQAgIASHgwARE4XXgwRHRhIAQCDsBySkEhIAQEAJCICQCovCGRMYB4r19A/DgqTeev/J1AGlitwgvXvvBy8c/dkNwgN7znJDzIfoHIjAQePjMO/oFEQnw+LkP/APUgAgLIfCGgPjsEBCF1w4UiRICQkAICAEhIASEgBCIOQRE4Y05Yyk9EQJhJyA5hYAQEAJCQAjEIgKi8MaiwZauCgEhIASEgBAQAtYEJBQ7CIjCGzvGWXopBISAEBACQkAICIFYS0AU3lg79NLxsBOQnEJACAgBISAEhIAzExCF15lHT2QXAkJACAgBIRCVBKQtIeCkBEThddKBE7GFgBAQAkJACAgBISAEwkZAFN6wcZJcYScgOYWAEBACQkAICAEh4FAEROF1qOEQYYSAEBACQiDmEJCeCAEh4CgEROF1lJEQOYSAEBACQkAICAEhIAQihYAovJGCNeyVhjfnKx8/nL31BM9f+4a3qOQXAkJACAgBISAEYgiBV95+2HLyFhbtvoSjVx9GaK+GTZyP/BVbYt6/64PV2+eXaShWsx3WbtkXLM2RI0ThdeTRsZFt6vrTaDB8LbrM2ImGI9fh1yWHbXJIUAgIASHgtAREcCEgBMJI4O7T1/hq/Cb88u9hTNtwGj3n7MHgRQfDWPrt2Vo3qaUzzZi/Cn7+/trPzZ37j7Bs7U5kzpAa1SsWZ5TTOFF4nWSozt16isV7LiEg8I3Am0/cwq6zd95EiE8ICAEhIASEgBBwOgJblaX2z63nEFY3TBm8ntk86d1++g4mrD4R5jrY1vUHL+yy8vbxRbHCeXD3/mNs3XXUnOffldtQrkRBPHryzBwXHs+Tp/bbC08d75rXuRTed+1lGMvduvMAW3cf1QNsr8i9B0+wacch8ECwlx6ZceduP7Fb/cU773bQ2a1MIoWAEBACQkAICIEoJ7Dl5G3M3XY+zO7Etcd2ZfzvwJUw18H2roWg8Hp5+yBfzsz4rFZ5/Ll4nW6Lus+mnYfRqHYlKz3p4LFzGDpuLroPmIix0xbpvIdPnMfA0bNR56s+oJ9W4na9RqFpx0GYNHsZ6n/dF/1H/qHzRtVGFN4g0lR02/UajZPnrqBL33HYvvdYUIpxd+nabT0442f+i1FTFhoj1fb5K19ElnvtbXyM4OsfAFeD/aFyc3GJtPYjq1/OWK+PXwC8fPydmvUzdaw6u3vt7QdfNRbO3o+IkD866+A5HBgIRKcM0rav5h+gHvu9eO2n/W9jwnET5xtpv+NKJXjnv4r506JZ+ZxhdgUyJbXb1qdFs4S5DraXKUUCu/W8ePkaCRPGQ4tG1bD/yBmcvXgdG7YfRN3qZZA0SUJdxtfPqKP0Gz4DiRLER6b0qTFt3grsPXwaG3ccQte2DVG9YjGs2rgHbq6uaN3kE/grfebL+h9j+qieWLRiK3yUJVlXFgUb+1pUFDTsaE3wDmb0gI7o8FVdDO/XDiMmLbASMXnSRJg4tCvataiD23cfmNPc3VwQWc7N1QD+czEYUCJnKiSO58Gg2bm7uqBMnjSR1n5k9csZ6+VQuLoYnJp1HHWsOrtzc3WBixoHZ++Hs8vv4W68dDh7P2KC/FCXCQ83A+KE4fx2xt9eZ5LZfHF+B0+F/OnQvEKuMLte9Ysgkae7VUvl8qZBp5oFwlwH28sYgsLLqQdUYnNmzaCnMMxfshGLlYJat0ZZJIjvqdt98fIVLl65CVqDO31dH1RwT26ZhRJF8qJb20Y4e+E69hw6DX91U8YCrur3O0miBEicKD6SBSnNL155Mel9XZjKu4QpVwzPRDP97gMnkSVTGt3TjOlS4eLVW3oQdYTaJE4YX89ZmbVwLdorpVhF6b+4Hq6ILMcTnY24qgt8soRxML51WTQsnZ1RUMYVDG9eEplSJoi09iOrX85YL09Ujoczym6SOY46Vp3dcQx4Pjh7P5xefndXqPtwOH0/YsA54aIGwkONR1jGwvRbIPvIuW7ri3MUbVIn9sTszpXxw2dF0PbjvBjeoiT6Nvwowlp/8Ogp4nnG0fW1bFwT/6zYgtw5MilLbjxl+HHV8cyTNnVyPb2BOhQjr9+6h6s37uKHoVNBf+li+RHIx0Eq0dv7zepSPr5+KgbwjGtsQwcieSMKrwIcx8MdeXNmxsmzV1QIOHX+CsqXLIS4cTz0wPHuhQmbdx3G02cvtFmf4ah2qZN4om2VPMidLgnUTT28gx4nRLUc0p4QcDoCIrAQEAJCIIYRiBfHDRWVZbhhqWwolDl5hPXu6KmLmDF/Jeb9uwHnL9/QFlvqSE3qVQFXaRg28S/dFp+EP332EgN6tESbHiPQrNMQPU0hXZoUoDLMKRDnL93Arv0nsG3PUcz+Zw1OnL0MzgM2TQ39d9VWXVdUbEThDaI8qOfX6Dloip50zTm83zSrDc6Nati2P1as361zNapdESN/ao+VG/bocHRtsqdJpJu+dFdeWNMgZCMEhIAQEAJCQAiEicDbMhXMkw3L/hiC+ZP6IUeW9DAYDJg/+SdkSp8KqVMkxbhBXXBw7VSMG9wFaVIlA3WjXcsnYsqw7uj2TSNtAf59RA8M/aENRg/oiKWqLhoRWe7wumnKoPgBenb8Akc3zkDjupXfJk6EpYvCG4Qyr7Lwrpz7K77v0ATrFoxEkQI59VzB5bOH6knanJzt5++v4lz0YAUVi5ZdttSi8EYLeGlUCAgBISAEhEAMJ8D3JNzd3UBnMPB5MuDuZpzGYDAY4KGeivMJOJ3BYExPnCi+eW4v8TB/0sQJ6YVnXA+9Zzk6N1dX/RKbaa8To2DjEgVtOE0ThJ9W3a1wbxKaYQ76P/9t0ctrTJ37H5rW/9iUHC377KLwRgv32NOo9FQICAEhIASEQMwiIApvGMezaf0qmDuhL0b+1AFZM6UNY6nIyZYtaErD5bvPERA0GTxyWpJahYAQEAJCQAjEYgLS9RhDQBTecAwll9GgqT8cRSIla1x3V6RNGk+v1HDl3otIaUMqFQJCQAgIASEgBIRATCEgCq+TjqRMa3CYgRNBhIAQEAJCQAgIAQcnIAqvgw9QSOLJi2shkZF4ISAEhIAQiB4C0qoQcFwCovA67tiEKpksTRYqHkkUAkJACAgBISAEhICZgCi8ZhTO5TFZeM/deuJUgouwQkAICAEhIASEgBCIagKi8EY18QhqL1ViT8SP44aX3n549MI7gmqVaoSAEBACQiCKCEgzQkAIRCEBUXijEHZEN5U9TWJd5UX54prmIBshIASEgBAQAkLAcQh4efvg5zFz9GeHTVI9fvrc5I3SvSi8UYo7nI29JXu21MavmFy68+wtOSVZCAgBISAEhIAQiFEEvF8BJ7YDu5YBV05EaNeGTZyP/BVbYt6/64PV2+eXaShWsx3WbtkXLM02gl9jq1ahKO4/NE6/fPTkOcrW7Yzb9x7ZZo30sCi8kY448howWXgviYU38iBLzUJACDgEARFCCAgBCwJP7gO/tQMWjQbWzQJm9QMWDrfI8H7e1k1q6QpmzF8FP39/7efmzv1HWLZ2JzJnSI3qFYsz6q0uaWKjcY4Z+T2Dhb8PQJqUSRmMUicKb5TijtjGTC+uicIbsVylNiEgBISAEBACUUrgxA5g8wKje3DjTdMhxa+eDryymRpwarey9i431sG6wlLPm5asfN4+vihWOA/u3n+MrbuOmtP+XbkN5UoUxKMnYX+yHBAQYC5PD5Vly4/EBloGVIYnTyPng1oxSOFVlGLZX+aUCWBQfb7+4AV8/a0PKBUtf0JACAgBISAEhIAzEKBiu/VvgO7BzTcShxR/8/ybPJa+k0pxZh10YanHsqyFn3Nv8+XMjM9qlcefi9fpFCrBm3YeRqPalbQirCPV5uCxcxg6bi66D5iIsdMWqRiA83T7DpsBTn/o+tMEHcfNX0s2osQn7XHhyk09zWHouHlo9M0A/L1sE5MxZc5ylKnbCbP/WYs2PUagYdv+ePnKS6e970YU3vclGI3l3V1dkDlVwqBPDNvc6UWjXNK0EBAC0UxAmhcCQsC5CBQoC1RobHQp0r+RPaT49Dnf5LH05Q9nPZZlLfwvXr5GwoTx0KJRNew/cgZnL17Hhu0HUbd6GSRNklDn9PUzTnXoN3wGEiWIj0zpU2PavBXYe/g0+o/8Q1uCh/7QFr06NtH5uWlavwpSp0wKWnU37TiE+jXLoke7xlrBZXrrpp9wh+LKujx95PfwUZbm0+ev6rj33YjC+74Eo7l8ttSJtAQyrUFjkI0QEAJCQAgIAecjQMW20hcAXYoMb+QPKb5mGyCeUfE0Z85XCihdx1hHWOsxF7b2cFoBldicWTNoxXW+sswuXrEVdWuURYL4njrzi5evcFFZamkN7vR1fXRt2xAnt8xC0Q9yY+P2Q8ibM4vOl0opuNoTtHF3c9O+xnUrg/61W/fDP+gptYuBz62hlWdmSpMqGZ4+e0nvOztTQReTR/bOSUAUXuccN5FaCAgBISAEhMA7E0iSEvhuCtCwO1CtJdByEPB5z3euzrbgg0dPEc8zjo5u2bgm/lmxBblzZFKW3HhKSXXV8cyTNnVyPb1h94GTOu76rXu4cfu+fqltz6FTOs7b2xe+fn7azw39tPCyznlLNqBiqcKM1s7H15iP6Yx49drbLAfD7+NE4X0feg5QNnsak4VXpjQ4wHCICE5JQIQWAkJACDghgTjxgALllFW3LpClQIR14OipAVZwawAAEABJREFUi5gxfyXm/bsB5y/fQIkieZW1NjOa1KsCrtIwbOJfuq0RkxZo6+uAHi31fNtmnYZgkbICp0uTAj07NMHAUbPQsc9YLPxvs1aKucQZ6+SLcDPnr8LDR89w6uwVrFMW3kdPnmPh8s344+/Vuu6ZC1Zh1ca9OHzivFK2t8I3SBHWie+4EYX3HcE5SrG4bq56Du+J6w8xfeMZ3H3y2lFEEzmEgBAQAkJACAgBZyKgZC2YJxuW/TEE8yf1Q44s6WEwGDB/8k/IlD4VUqdIinGDuuDg2qkYN7gLOOWgUe2K2LV8IqYM645u3zTSFuCKpQtj138TMaJfOwzp3QYH1kzFl59Vxed1KuHIhhk67tvmn2LiL10xuFdrbFsyTqe1/bI2Dq+bhvZf1UP1isVwdOMMDOv7LdzdjdMglHjv/OfyziWlYLQTuPv0NXr+uQec8cJVP/7ZdRGdZ+zAK2+/aJdNBBACQkAICAEhIAScj4CLi0ErmFQyDQZqGIC7Mq6xJwaDAR4e7uAHJegMBgOjkThRfPPcXh2hNokTxkc8z7hwc3WFZ1wPFQNdD+sy1Z0iWWIYDAardNbPPK6uLros/YiAfy4RUIdUEU0Edp65A9vlyJ6+8sG+C/eiSSJpNhYQkC4KASEgBISAEHA6AqLwOt2QvRH47pNXbwIWPq7LaxEUrxAQAkJACAgBIRDhBKRCZyIgCq8zjZaNrIWyJLeJMQaLZk9l9MhWCAgBISAEhIAQEAJCAKLwOvFBUDp3GlQqkM6qBw1KZkPeDEms4iQQfQSkZSEgBISAEBACQiD6CYjCG/1jEHYJAvyB84eAnUuA03sAfz/0rl8E09pVQKD6n9DTHd9UzRv2+iSnEBACQkAICIGoISCtCIFoJSAKb7TiD0fjXIZhxg/AvEHA+jnA38OACZ0B71fIlDIBPFxd8fy1r6zQEA6kklUICAEhIASEgBCIHQRE4XWWcb50FLh53lrax3eA49t1XMYU8fX+5qOI+QSfriyqN9KeEBACQkAICAEhIAQigYAovJEANVKqfHDDfrX3jfHpkxkV3lui8NrnJLFCQAgIASciIKIKASEQsQRE4Y1YnpFXW4oM9utOaYxPF6TwioXXPiaJFQJCQAgIASEgBGIvAVF4nWXssxUC0ue0kFZ5k6YBCpZTHpWUzGjhFYVX45CNEBACQkAICAEhIATMBEThNaNwcI+LGqrWvwCf9wJyFwPKNwI6jQfixNOCm6Y0iMKrcchGCAiB2ERA+ioEhIAQeAsBpUW9JYckOw4BF1cgX0mgSR+gclPA1c0sm3lKw0N5ac0MRTxCQAgIASEgBISAEFAEYovCq7oas/+SJYgDd1cXPJOlyWL2QEvvhIAQEAJCQAgIgXATEIU33MgcoMCp3cDi0dAfobAQh+vxMnhDrLzEIE4ICAG7BCRSCAgBIRD7CIjC64xjfueycf3dG+espJd5vFY4JCAEhIAQEAJCQAgIAU3ArsKrU2TjuASSpjbK9uSucR+0Nc/jlbV4g4jITggIASEgBISAEBACgCi8zngUZMoLfPItULyWlfQmC698fMIKiwSEwPsQkLJCQAgIASEQAwiIwuuMg5g8HVCsBmCzLq9J4ZWlyZxxUEVmISAEhIAQEAKOTMC5ZROF17nHz0p6UXitcEhACAgBISAEhIAQEAKagCi8GoMTbnYvA/4eDjy8ZRY+SXwPeHq44rksTWZmIp6oJSCtCQEhIASEgBBwRAIujihUaDIdP30ptOTYk3bpGHB6N/DgplWfTVbe6w9eWMVLQAgIASEgBISAEIgyAtKQgxFwGIX36fOX2Ln/RKhu087D6DXkdwQGBjoYxmgQJ4n9lRpMCu/Nx/LFtWgYFWlSCAgBISAEhIAQcEACDqPw3rrzAN98P1K7rj9N0HtT2LTv/ONvuHrjLq7fuueAKKNYpA/KA3U7Ajk/smo4ffL4Onzr0Su9l40DExDRhIAQEAJCQAgIgSgh4DAKb96cmVGuREGc3DIL+1dPwYnNfyBZkoRYMKW/jmP85kVjdZ5M6YOsm1GCyEEbyZgHKPIxkCytlYDmtXjla2tWXCQgBISAEBACjktAJBMCkU3AYRRednTKsP9xp51/QAByZs2Agnmy6jA3qVIkwctX3rhw2XreKtPEGQmYpzTIxyeMQGQrBISAEBACQkAIxHoCDqXwWo6Gm6sr4sTxwIbtB+Hr66cUXS+s2rgXh45bf04XsfnfqmnA/F+sCJgU3msPnlvFO39AeiAEhIAQEAJCQAgIgXcj4LAKL7sz4H8tMWLSAhSu2gbFa7XD94Mmo3nDasiRNT2TxZ3cCZzdBzy5b2aROJ6HXprstY+/Xp7MnCAeISAEhIAQiBkEpBdCQAiEm4BLuEtEYQFPzzhYPW84Fk0biNEDOmLXfxPRu1PTKJTAwZtKGjSX+dFtK0EzJE+gw/LFNY1BNkJACAgBISAEhEAsJ+DQCm+jtv2xaech8IW26hWLIXHC+PDx8UVAgCxLpo/b8o2ANsOAbB/ooGmTPll87RWFV2OQjRAQAkJACAgBIRDLCTiswuvvH4BXr73AubyWYzRp9jLcf/jEMir2+nMVBTLkCtZ/80oN8uJaMDYSIQSEQGwjIP0VAkJACAAOq/C+ePkaSRMnRMc+Y9Gs0xDtGn87ENPmrYCrq8OK7RDHlOnFtVui8DrEeIgQQkAICAEhIASEQPQScFjNMXGi+Fqx/bxOJdSsXEK7SmWKIEPalBH+pbXoHYL3aJ1zd8d3BKb3tqrEpPDKlAYrLBIQAkJACAgBISAEYikBh1V4OR4/92yNHzo1BZXeBp+UR7sWdTCyfwckiB+PyeLiJgAe3gLuXLJiYfra2pV7z+Hl62+VJgEhIASEQCgEJEkICAEhECMJOLTCmzVjGgwcPRuFP26Nj6p/o6c3pE2VDJ5xPWLkYIS7U/ESAm7ugJ8v8Nq47m5AYCBGLT+qq/LxC8Bnw9di7rbzOiwbISAEhIAQEAJCQAjERgIu4e50FBYYNnE+tu05ii/qVsbgXq2RJFECdPxhLOSfBYG2I4DvZwGeSvlV0RuO3cSec3eVz/jnHxCIP7eew63Hr4wRshUCQkAICAEhIASEQCwj4LAKr5+/Pw4eO4sVf/6Kft1aoH7NchjSuw2yZk6LazfvxbJhCqW7qTMD8RObM5y+8djst/ScuyUrW1jyEL8QiAgCUocQEAJCQAg4BwGHVXh9ff2RK1tGvfauJcqkiRPi6fOXllHityCQLEEci9Abb9IQ4t/kEJ8QEAJCQAgIASEgBN6JgMMXcliFl/N0nynFdtnanXj89DkOnziPUVMWYtGKrciRJX2Eg6USvXP/CZy9eD3Eus9duqHlcKgPX5w7AIz9Fvhvspa7fL50cDFor3mTKrEn8mVIag6LRwgIASEgBISAEBACsYmAwyq8HIQBPVph5OQFKFu3s16Hd+aCVRj5U/sIf2nt1p0HaNL+Z+w/ckYp1X9j8pxlbN7Kjf6dyvYW/PjrdPwyfq457ZW3PyLLefsG6HY4DzekNrwC1BA+uYeAB7e0HCkTeWJYs1KomD8dAgOBOB6u+KVpCfj6Ber0kOqR+NDH0c8/EHwJUDiFzilUPhFwrvCc8AuQYzmyOYelfvXzIr8pEXBMh4V1aHnU6YDXPtF7XoYmX2xK0xds2TgsAaUtOaxsSJcmOTYsHI054/pgwtDvsHb+SFQoVSjCBV65cQ9afl4DXds2xO/D/4e//t2AB4+eWrXzTbNP0adLM/Tr2gLHTlksA0atMrIceElRYnAXQhuBiVOqDIBBKb1aw1X5cqRJhO9qFURcpex6qx9CDzc1zCrelC57BTS8PDgWqpiwUxDCyy4C8xvUOBiUCDIOCkIEcg0vTxmH6OVvOV4yFo4zFgjHP8ka9QSUJhT1jYa1xZbf/Yrte4/how9yoVLpIli9aQ82bD8Y1uJhzrdtzzHkzpFJ5zcYDPggX3ZcvHpLh02bBPE9wRfplqzejl6dmpiiES+uW6S5OO6uuh1XV0OIbXimzQi0HAxDvU6IZ/C1ykfFlxXcfvrKKj4yZY6pdbu5usDD3UU4RuLxHpZjx8PdFaGdD2GpQ/K4vfdx7BnHDTDgveuRsXB7b4YGgwFx47i+dz0yFu8/FpB/Dk3AxVGle/rsJa7euIMyxQqaRWz7ZW3MmL8KPj6+5riI8BTOn0OvCMG6WPfp81dRSCm9r718cO3mXUZri+8v4+ahddNPkDJ5Esz5Z62Oj/bN4tHArL7A7J+AX5sBa2eZRcqaKpH2X7n7XO9l40wERFYhIASEgBAQAkIgogi4RFRFEV1PwgTxUL5kIav5ut5K0b1x6x4uXbsdoc21blILtPJ27DMWNb7siW+bfarumD2wfO0ONGjTHyfOXkbNL3thwbJNei5xjaY9USBP1giV4Z0qO7MXOL79TdHAAGD3MuDGWR2XJZVxbd5L957psGyEgBAQAkJACDgdARFYCEQAAYdVeF1cDEieNBH6DZ8Jrp6wdfdR/DB0Kh49eY6M6VJFQNffVJEkcQLMGtsb/bu3xMo/h6Fx3co6kWv//jdnKPLkyIRtS8bhwJqp5v2HBXPpPNG6uX3ZfvM3zun4bKmNFt7L98TCq4HIRggIASEgBISAEIiVBBxW4eVodGnTAEkSJUDXnyagww9j9CoKU0f0QPx4cZkc4S5ViiRWFmUPD3ekSZkMbq6uOt4zrod5H+GNv0uFnvHtl0qQRMdnT2208F6J+Qqv7q9shIAQEAJCQAgIASFgj4CLvUhHiaOi+b92n2PPiknYsnistq6WKVbAUcSLfjnylARc3azliKesujk/0nFxPdzANXi9ff3l08KaiGyEgBAQAjGdgPRPCAgBewQcWuE1Cezq6qJfFDMYDKYo2ZNAkpTAt6OAYjWAbAWBMvWBb0YAceIxVbusQfN4L9+VebwaiGyEgBAQAkJACAiBWEfAKRTeWDcq4elwqkzAJ98CLX4GqrYAkljPb85qZx5veKqXvEJACAgBISAEhIAQcHYCovA6+whayu/rA7x4bBkDsfBa4ZCAEBACQsCSgPiFgBCIJQScTuHlOrwPH8vj+WDH56ENwJDGwI4lVklZUyXSYVmpQWOQjRAQAkJACAgBIRALCTi0wnvg6FkMHD0bPQdNQe+hU/USZbP+Xo1AflIzqgbLWdqJb1RscfuSlcQZU8SHm4sBNx+9hK9/gFWaBISAEBACQkAICAEhEBsIOKzC6+vrh/a9x+DytdvgRygSJYiHgIAAeHn7isJr78hME/QhDO9XVqkuBgMypTQuT3ZZvrhmxUYCQkAIhI+A5BYCQkAIOCsBh1V4XVxckCxJQswY1RP9urVAny7NMKR3Gwzs0Qoe7u7Oyjvy5E6cEvhuMtBudLA2zPN45YtrwdhIhBAQAkJACAgBIRDzCUSwwhtxwLgUWb2aZXH24jWrSl+8fIWAQHk0bwXFFEiaxuSz2stKDXoeazMAABAASURBVFY4JCAEhIAQEAJCQAjEMgIOq/ByHDzjxMFX3/2KWs16aVe9yfd6Tq+fnz+Txdkj8PQ+8PiuVYrZwitr8VpxkYAQiFQCUrkQEAJCQAg4DAGHVXi9fXwxYvICtPqiJjp8VU+7di3qIFe2DDAY5AMUdo+g07uBMd8Aa2ZaJWcLWov3wp2nVvESEAJCQAgIASEgBIRAZBNwhPodVuGN4+GOIgVyor1ScmtXLQW6+jXLofu3jRHPM64jsHM8GUwvrt25bCVbsgRxkCCuG154+eHxS2+rNAkIASEgBISAEBACQiCmE3BYhZfga1YugVWb9uLZi1faPX32Euu27seLl6+ZLM6WAOfwJkgCeKgbAj8fq9TsqRPrsKzUoDHIxuEIiEBCQAgIASEgBCKPgMMqvDfvPMDQcXP1GrylancAXek6HfHvqm1wcTFEHhFnr7nHH0DHcYCbh1VPsqQOWppMVmqw4iIBISAEhIAQEAIORUCEiRQCLpFSawRUmj5NCmTPnA5zJ/yIJTMHa0d/qaL5ERAQGAEtxK4qspm+uCZr8caugZfeCgEhIASEgBAQAnBYhZdjM3NMLz2Ply+q0XFOb4NPKiBp4gRMFhcSgVsXgLP7rFLNKzWIhdeKi5MGRGwhIASEgBAQAkIgHAQcVuF9+PgZNu08jIX/bTG7v5dtwtip/4AfpQhHH2NXVn5aeOr3wVZqeO3jh0BlGL945xnmbD2Hp6+s5/jGLkjSWyEgBISAEIgZBKQXQiBsBBxW4b334DEGjpqFuYvWYfGKrdpN+GMJfP388OKVvLQW4vCmygRw2TauxetrXJHh9I0n6DV3r45WOi/mbTuPHrN3I4AaMOSfEBACQkAICAEhIARiNgGHVXizZkqLKuU+xPLZQ/H37/21mzW2N4p+kBuJE8aP2aPyPr1zdQMy5QNyFQW8Xuma1h29rveWm2sPXiC2rNhg2W/xCwEhIASEgBAQArGPgMMqvHHjeGDYj+2sRiR7lvTYffAkHjySDyhYgbENtBoMNP0RSJhUp1x/+ELvbTd3nxoVYtt4CQsBISAEhECMJCCdEgKxloDDKrz3HjzBvH/XY/pfK7WbOvc/9B46FY+ePFeP5mVZsvAcscWypwqW3c3FgLwZjApxsESJEAJCQAgIASEgBIRADCLgsAqvn58fxkz9Bxt3HMKu/Sew5+Ap+Pj4YvSADkieNFEMGoJI6IqvD7BrGfDvGODiEXz6UUYUzpLcqqFvquZD0vhxrOJ0QDZCQAgIASEgBISAEIhhBBxW4U2XJgX6dPkS8yf1A5cnoxs9oCOqVywew4Yggrvz8ikwrh2wbhZwbBvw50DEWzgUw5qXxPxuH8NVGcf54lr1whkiuGGpTggIASEQswhIb4SAEIg5BBxW4SViLj+2dst++PsHYMLMJajzVR89zYFp4kIgcHgj8PyxdeKlo8CNc0iWIA6yp00MpfPi0r3n1nkkJASEgBAQAkJACAiBGErAYRXe+w+fYPHKbcifOwumzvsPk+csQ5P6VbDrwEkwzTHGwwGluH/DvlAPjPFZUxmng1wRhdc+J4kVAkJACAgBISAEYhwBh1V4EyWMjwTxPbFq4x5t3R3cqzUa16mM1CmT4bWXcX3ZGDcaEdGhlCFMVUhhjDd9ce3S3WcR0ZrUIQSEgBAwEpCtEBACQsCBCTiswhvHwx2tm9TC0VMXMajn16hfsxzmLl6HZ89fwt3NzYGRRrNoRaoACZNZC5GtEJAhl47LmjqR3ouFV2OQjRAQAkJACAgBIRALCESlwhtunOVKfICJQ7vis1rlddkWjapj5E/tkTa19YoDOlE2RgLxEwNdJgOfdQU+qACUrA00/8mYprbZgxTec7efqpD8CQEhIASEgBAQAkIg5hNwaIU35uOPpB66ewD5SgPHtgL71wCGN8Oc0NNdL0fm7euP+8+8IP+EgBCIDgLSphAQAkJACEQlgTeaUFS2Km1FPgE3dyCRsoT7+wFP7lm1lzV1Qh2+fE/m8WoQshECQkAICAEhIASih0AUtepQCm9AAFeIjaKex4ZmCpQFPqyqempQ7s2faaWGy3dlabI3VMQnBISAEBACQkAIxFQCDqXwTp69FF36jcP5y8YltGIq9CjrV7WWQJ0OQJKUVk2KhdcKhwQcn4BIKASEgBAQAkLgvQg4lMLb6NNKSJ40Meq16oveQ6fi2s2779U5KWyfgNnCK2vx2gcksUJACAgBISAEHJKACPWuBBxK4U2VIgn6d/8Kq+cNh6uLC2p+2QsDRs7C7bsP37V/sbuc1yvg+Hbol9csSGROmUB/be2qUngDAgMtUsQrBISAEBACQkAICIGYR8ChFF4T3kzpU2FI7zZYPnsonr14hY8b/w/DJs6XL6yZAIV1//oZsHg0sH62VQl3VxdkSJEAgSr26v0Xait/MYmA9EUICAEhIASEgBCwJuCQCq9JxOyZ02H0gA5YNG2gnt5QsUFXjJ22CM+VEmzKI/tQCCRNA70k2fPHgM9rWP7LlkpWarDkIX4hIASEgBCIcQSkQ0LATMChFV6TlHlzZtYfoPhrUj+cOHsZB46dNSXJ/m0EitcCaraGVnzx5l+WVMYvrslKDW+YiE8ICAEhIASEgBCImQScQuE1oS+ULzumj/welUoXMUXJ/m0EqOyWqA24x7HKmU3W4jXykK0QEAJCQAgIASEQ4wm4xPgeSgftEjCv1CBr8drlI5FCQAgIgdhGQPorBGIyAVF4Y/Losm8PbgLLJgJb/mbI7FIn8UQcd1c8eO4FLx8/c7x4hIAQEAJCQAgIASEQ0wg4vMLr7x8AP39/zV2+xKYxhG/j5wMc3gCc2hWsXPbUxnm8528/C5ZmP0JihYAQEAJCQAgIASHgfAQcWuG9dO02Grb9CVt3HdVk+SW2wyfOa79swkggRQZjxoe3jHuLbRZZqcGChniFgBAQAuEgIFmFgBBwKgIOrfB26jMWrq6uZgtvmy9rY/ikBQiUjyWE/SBzcwdqtQUadAtWJpuy8HIt3iNXHsJXWdKDZZAIISAEhIAQEAJCQAjEAAIOq/C+9vLBB/my44fOX5oxc0rDhcs3cebCNXOcA3scRzQuTZavtJU8j154Y+m+K/qLazvP3EHjUeux+URwK7BVIQkIASEgBISAEBACQsAJCTiswusZ1wM+Pr64eOUmXFwMePTkOSbNWopXr72QNInxowlOyNthRP575wXcePjmK2svvf0wbtVx+AfQ5uswYoogQkAIxAgC0gkhIASEQPQScFiFl1i+bV4H42f+iz6/TEe5ep0xc8Eq9OrYBGlSJmOyuLASuHkeWDoe2LPCXOLi3eAvqr1SSu+tRy/NecQjBISAEBACQkAICIGYQMBhFF57MHNnz4gti3/DrLG9MX7Id9iwcDRqVi5hL6vEhUbg9XPgyCbg3H5zrgRx3M1+S0/8uPbjLfOIXwgIASEgBISAEBACzkTAYRVeXz9/PZ3hyvXbiKuUs8zpU+HFy1fo1n+iM/F1DFmTpzfKYbFSQ8UC6YxxFtuEnh5IGt/DIka8QkAIRAMBaVIICAEhIAQimIDDKrynzl1BnZY/Wrl6rfqCy5I9fqoslhEMIkZXlzQ1UL0VUOsbczcr5k+Hn78ohqqFMuCjbCkR190Fz157Y+628+Y84hECQkAICAEhIASEQPQRiLiWHVbhzZIxDQrkzoody8Zj/+op2k0c2hVfNaqOpInlpbVwHwKl6gC5i1kVK5EzFXrUKYShXxbHL81KwsXgohTec+j15x4MXHgQS/ZehrdfgFUZCQgBISAEhIAQEAJCwNkIOKzCmzhhfAzp3UYrt/E844KuQqlCWLNln16pwdlAO7q8+TIkRZk8qZWYBnBd3l1n72DKulMYteyIipM/IeC4BEQyISAEhIAQEAJvI+CwCi/X4X3+8pWewsBpDIeOn8O/q7bj7v3Heomyt3VM0m0IXD4G/DsWOLrZJuFN8P4zrzeBIN/207cRIB/6CKIhOyEgBISAEBACDktABAuFgMMqvNdv3UOzTkPMrnnnofh1wl9o3rAaMqRNGUqXJMkugacPgGNbgYtH7SYz8vqDN+vyMkzHZXlvPpSlyshCnBAQAkJACAgBIeCcBBxW4c2eOR0qlymCA2um4ujGGdrtWzUZvTs1dU7S0S21XqkhELh9CfD1sStNyZyc0mCdlCqxJzKmSGAdKSHnJSCSCwEhIASEgBCIhQQcVuF1dXXRa+96xvWAm6urdgaDAVt2HcHzF69i4VC9R5e9Fa8Nc1UFBuD+dWBYM2DvShW2/mtWIScyp3yj3Lq6GNClVkHrTBISAkJACAgBIRADCEgXYhcBh1F4qcQOGjMHA0fPDtH1Gz4TP4+ZjRevgs81jYhh8/X1w8Fj57D/yBkE8Fm+nUofPXmOFy9f20lx4Kj9q4GrJ94I6OcLrJsFvHjyJk750ieLj6ntKmBi27LgtN2AAKBQFvmqnUIjf0JACAgBISAEhIATE3AYhTdBfE9s3nUYDx4+gY+Pr33n66usu6/h6hLxYlPB/br7cCxdswPL1+1C9wETwRfnLMf2/OUbqNuyD46fvmSO9vLxR2Q536AlwfyV8v0+bQRcPWuW1+zx94PP7Wt2Zc+QLAFypk2MQPV//4UHdvO8jzzOU9bf3Hc//wBwPJxR9pgks486J973fIhIHq+9/REbHRnypjgy+842xL35DQqJBV8q9o7E61BI7Up88LExX1/F45AEIl5zfMduGgwGdGpVH2N+7qSXI+OSZLZu2I/f4ofOTRE3bsR/DezIyQtImTwJBvX8Wju2sXP/cXNvnr14hfVbDyB1SmuLJ5WgyHJ+/oG6ff6gvU8b/vES63psN77unlqJs1d3gYzGfh6+/CDEPPbKxdQ4XtypaMXU/jlLvwLUjQdvTh1FXn/1GCQ2Oj81Dvw9icy+O8oYO7ocyi4BP2UUiXQ51c2mtGE0fITEgeeEOMcl4DAKLxF9Vqu8nqtLvz3n5++PHfuOI6GyBttLf5+4PYdOIX/uLOYq8ubMjHOXbpjDiRLEQ4eW9ZAiWSJzHD0J47kjspxnHFc2AXdXl/dqw73Yx7oeq03KDIifKXuI9ZbInUpnP3n9UYh5Iqvfjlivu5sL4nq4CotIPN7DMu5x47iBYxGWvFGRJ4GnO2KrUzaKSO17VIxfTGjDxcWA+HHd5Lcpmn+beCzpi6ZsHJaAi8NKpgTbsP0gGrbtjzpf9TG7tVv2g0uWqeQI/cufKwv2HzltrnPf4dMoV7ygnstrqfjSumTO5CyeDLmBr4cChSoZJTaoYW8xEHBRe2NMsG2BjEm1on3p7jO88PINlm4nQqKEgBAQAkJACAgBIeCQBELWeKJZXM6fHThqFsoqpbNezbLwjBsHjWpXRJECOZEpfeoIl65M8QKq3jRo/O1A7eJ7xkXBvNlw8epN1P+6Ly5du41p81Zg5/4T+OPv1Th78XqEyxCpFWbKC9TjxnRuAAAQAElEQVTvAnzWFegwFkhonLIQUpsebq7Ip5Reph+8eJ87cUJACAgBIRAmApJJCAgBRyPgsAqvm3qMXzh/DnT6uj6+/qIW0qZODk55iOcZB1dv3I1wjm6urujT5UtMHdFDu+H92uk2cmbNgNXzhiNbprRo0ag6Dq2bhnGDuyBHlvQ63ek2H1QAUmYMk9gfZk2h8x26/EDvZSMEhIAQEAJCQAgIAWck4LAKr7u7GyqUKqynMgQGBqLBJ+VRuk5HbWFNmCBepLFOnCg+6CwbyJQ+lQ7G8XAHXdw4HuA6wTryHTfRXuzR7beKUCSbUeEVC+9bUUkGISAEhIAQEAJCwIEJOJzCazlHtmHtChgzsBMMBgPKlfgAcyf8iOWzhiBZkoQOjNQJRBvVGhjXAeAHKUIRN1faxIgfxw33n3nh1uNXoeSUJCEgBITAOxOQgkJACAiBSCfgUArv5Wu3MeXP5Vadzp39zeN3zt/N7qxTCax6Fc2BpKmNAlw9ZdyHsDUYDCgcNK3hiExrCIGSRAsBISAEhIAQEAKOTsChFF4XFxdM/GMJhk+cjxu3LV6UcnSKziZflgJGiZ/cM+5D2RYJUngPXZJ5vKFgkiQhIASEgBAQAkLAgQk4lMJLTsUK5wHn7zZp/zPa9BiBtVv2wcvbh0niIopAiU+APvOB4rXeWuMbhfc+OJf6rQUkgxAQApFKQCoXAkJACAiB8BNwKIXXw90NLT+vgW7fNMLmxWPRvEE1rN60D+XqdcEwZfU9c+Fa+HsoJYITiJ8Y8IgbPN5OTIbk8ZHI0wMvvXyx48wdBBg//mYnp0QJASEgBISAEBACQiDKCISrIYdSeLn0WMXShXUHuExYhVKFMPbnTlg9bxgSJYyHBm1+0h+iOH3+qs4jm/cg4OsNXDgE3L4YaiXnbj2Fj38AYDBg8KJD+Gr8Jpy+8QTyTwgIASEgBISAEBACzkLAoRReTl2498BameJXzqb/tRIz56/WTH18fOXRuibxnpt9q4C5g4AD60KtaOqGU/Dy8TPnuff0NSavO2kOi0cIODQBEU4ICAEhIASEgCLgUArvrbsPsXD5ZvAra/+t24VmnYbor5z9uWgdalQqjr8m9cPy2UORL1cWJbr8vReBzPmNxa+cMO5D2F688yxYyvlbTxAQKHMbgoGRCCEgBISAEBACDkogtovlUAqvq4sLJs9ZhvL1u6D30Kl49vwl+nVrgV3/TcSgnl+jUL7ssX28Iq7/GXIBiVMCqUO/eUgQ1z1Ym4niecDFYAgWLxFCQAgIASEgBISAEHBEAg6l8JoAVSpd2GzN/aJuZSROGN+UJPuIJNBtKvD596HWWDF/umDpHm6uYuENRiUmREgfhIAQEAJCQAjETAIOpfAGBATgy88+xvB+7cSaG9nHm58PsHYWMPZb4JemwLxBwN2rwVptWSk3un/6ASrkS4syuVMjkac77j55jZHLj2L5/itYdega7jyRr7AFAycRQkAICAEh4LwERPIYR8ChFN6M6VOhY6v6MQ6yQ3Zo70pg9zKAH5/wfg2cPwQsGgkEBliJ6+piQPXCGdGnwYf46fOiGNuqDOK4u2DD0ZuYuOYkflt5HK0mbMGus3etyklACAgBISAEhIAQEAKOQsChFF4uRSbTF6Lo0Lh0LHhD928ATx8Ej7eISZ88PuK4uXGVMnMsX2D7e+cFcziWeKSbQkAICAEhIASEgJMQcCiF10mYxWoxX3j54rmXTzAGV+6/wJK9lzFw4UEMX3oE20/fhqzjEAyTRAgBISAEYiAB6ZIQcHwCovA6/hhFjoTZPgheb8oMQOIUweMtYrhqQ9L4cSxijN7X3r6Ysu4Udp29g43Hb4IfqVh5MPicYGNu2QoBISAEhIAQEAJCIOoIiMIbdawdq6USnwCl6gJJUgFxPIGcHwINewCGtx8STcvlgAFv/gUGGmAwvAmbfFtO3jJ5IR4hIASEgBAQAkJACEQXgbdrN9ElmbQbuQTcPIDqLYGuvwM//AV82Q9InhbwevuKC3WKZcHU9hXQsUZ+fPdJQQxqUlTJGlzj5WoOKkH+hIAQEAJC4A0B8QkBIRANBEThjQboDtnkmb3AiFbAtoVhEi9TigSg4lvrw0woliMlkiUIPs2hYKZkYapLMgkBISAEhIAQEAJCIDIJiMIbmXTfte7oKJcmK+DzGti3Wll5X4ZLAheDQVt6uUbvm4KBcHMNbvV9ky4+ISAEhIAQEAJCQAhEDQFReKOGs+O3wrm8BcsDceMB5w8Cd68AAf5hlrtkrtRY0L0qJn9THsOalYCbiwvWHrmBk9cfhbkOySgEhIAQsCUgYSEgBIRARBAQhTciKMaUOop/AngmBBaPASZ3A0a2UsrvoTD3jh+pyJY6IQpnTQF+oY0Ff/7nIBbuuqBXbnj6ygd0f249h58W7NcfrThx7RECAoH9F+7jn10XsfPMHXj7WX/8gvWIEwJCQAgIASEgBITAuxKIAQrvu3ZdygUjsHcFcP/6m+hXz4EVU96Ew+FrWCobEseLgycvfTBj41m9Nm/L8Zvw3cydmLvtPPaev4dVh67hf7N3o/3Ubeg7fx+mbzwDKshtJ2/BK2+/cLQmWYWAEBACQkAICAEhEDIBUXhDZhP7Um7Z+Vra0/vhntNLcC+Uwvr8tTe9ZvfS2x+3H1uvAqGMu7hy77k5Dz1c3WHzCVnSjCzECYFwEZDMQkAICAEhYJeAKLx2scTSyLjxg3ec6/J6eAaPf0vMjQcv9VQFq2x232GjymuVSwcu3Hmq97IRAkJACAgBISAEhEB4CdjmF4XXlkhsDhepHLz32QsDLuE/TDKkiA8Xg211SrlVf9axwTLp5IwpEuq9bISAEBACQkAICAEh8L4Ewq/JvG+LUt5xCXxUHfj8e+CDCkDm/EDlL4HGvd5J3oRx3VG7aBarsvE93PF5mexwd31z2BXJkhx5MiSxyheIQKw7fBXbTt3CP7svYc+5u/D1D9Bzftv9vg11flmNLjN26s8YWxWUgBAIFwHJLASEgBAQArGFwBvNI7b0WPoZMgGDsrbmKw181hVoNRgo3xBw9wg5/1tS+CW2Ma1K45uqedGzXmHM6lwJravkweKe1TGhTVnM7/YxhjUviTEty2Bwk+Joo9K61S6IZAnj4tK9Fxiy+DCmbziN/n8fwNeTtupVHS7fe65XcTh76wmGqvR7T19D/gkBISAEhIAQEALvQSAWFHWJBX2ULr4PAT8f4O9hwPKJwIE1wMNb4aotX4akaFAyG6oUTI/E8YzKcxw3F+RMmximr7Nx6gO/1taodHbUKJIJTdSeurdlQ/eeWL/sxjRafU/deEzvWx1XhRi5/KhWnrn82SsfWQXirdAkgxAQAkJACAiBGEJAFN4YMpCR1o3lk4DTu4FDG4AVvwMTOgFHt0Rac6z42Wtf7iLMbTl5S6/7u/7oDT09gsufDf4n7OsLR5ggzl2RSC8EhIAQEAJCwGkJiMLrtEMXRYLfu6YaMigX9BcYCGxfFBSInF2mFAmCVaxaDRZngAG0IAdLUBH3n3nh/O2neu7vuiM3VIz138FL9/HCK2IVa+sWJCQEhIAQEAIxk4D0yhkJiMLrjKMWlTI/vhu8tYe3Ae/gUwyCZ3y3mNJ50iBrqoRWhbOkTIhONQvoeE6JiOPuikAEYOGui1b5+CW3brN2odlvG9Fp+g7UH7YWR648sMpjCtx9IvN/TSxkLwSEgBAQAkIgJhMQhTcmj25E9C1p6uC1JEoGxIkXPD6CYriKw8S25TCwcVG0+Tiv3k9sWxafFs2MKd+Wx/IfamJqu/KI4+6G5fuvoOefe/SUBX6yeMGOCzh1/c28Xs7zpbMVzcXFgDRJI68Ptu1JWAgIASEgBISAEIg+AqLwRh9752i57GewWoeXb5Px62ujWgPDWwCjvja+0Pba+mtp79s5V6WQlsyVGo1KZQP3VIIt60yTJB6al88Fg8GAo1ce6k8V85PFy/Zdtcym/QYYYDtNws8vEB2nbseQxYcweNFB/Hfgqp7+cOPhS6w4eFW7W48iz4qtBZONEBACQiDmE5AeCgGHICAKr0MMgwMLUaAs0GkCUPtbo/usG+DiCjx/BLxSSu5zZU3lC20b50V5Jx48fx2sTf8A/2BxSifWy57N6VIZE5XlmM7TwxW3n7zCtlO3sf30HUxYfQJ95u1Dm0lbMH7VCe1aK//Wk+FblSJY4xIhBISAEBACQkAIRDsBUXijfQicQIBkaYGiNYwufxnA3htk599j1YN3RHD9wctgJQOp3drE5kmfBKmTeCJ1Yk/kSJNIu5SJ49rkAo5ffWjVtYDAQCzYaT1HOFghiYgQAo9eeOuXDL39AiKkPqlECAiBiCfAn/7tp29j+NIjGLjwIJbsvazXRY/4lqRGIRDxBFwivkqpMVYS8I/6dW2L5kgZDDUP6D4NP0T1whlRImcqtKyUG4ObFg+WjwqWZaTSbZWyy59zy1jgjrICW8dIKCIJcH51rz/3oMmYDfolwwbD1+LfPZcjsgmpSwg4FQFHFnblwasYvOgQNh6/iV1n72DKulMYteyII4sssgkBMwHqB+aAeITAWwm4qEMme6Hg2V4+A1ZNAxb8Cvw7Fji1S1mCgyuQwQu+ewxfYiucJbm5As7z/aZqPlTImxbdP/0AP39RDE3K5kDCuO7mPCZPocxvyjGOhmFXbhiwcKaPZVhEhdnL3h+69AD/7L6kp04448cu+EW7H+buRb1ha9BywmbM2nwW/gHsWZgxhJqRc6ePXHlozkMFeOr6U3j80tscJx4hEBMI8CabltHGo9eDjv6Hz72cqmtc09xWYFp8X3lHvcHDVg4JC4G3EVDay9uySLpjEXAAaT5tD3BqQ7yEQMKkQNJUQID6wdu3CjizFzi2FVg4Aji4NlKFpYI7rHlJzO/2MSa0KYvFPavjs5JZw9Rmq8p5kC7Zm1Ua+NW3BqVywGBRmlbf+89e60ftFtFh9v44bx9+mLcX0zec1i/HtZ64BVw2LSwVUDnm/GIqy1SaI07FDEvrxjxUbGnNOXT5AV77+OP241eYv+MC1hy+bswQAdtLd9SNkk097OsFO/E22SQoBJyKAG/kNirL6JOXPqCjf+Kak07Vh7t2lnLk/S9/G5yqIyJsrCQgCm+sHPb37HTilECjHkDPOcD/ZgLtxgIGO4fS8R2Iin9UVvmpYq7PG9b2MqdMgJkdKylXUS9xNq9rFbSukhvTO1RE51oFtCuVK7VeuaHrzJ1oPn4jWk/eol9ue6msGbREUim7+9T44tyZm09gaQnlZ4wPXrpvJQ4tPPaUxdWHr6Pd79tQ55fV6DJjJ9YdvQEqx1xBgsoylWYqz1aVRUHg1qOXuBfUP8vm9l+4Zxl8L3/8uG52yyeIE9wqb5uRF9pNSoH4dclh9Zj1oHmlDdt8Eo7BBJyoa4fVjaOtuPbibPM4Utj2yRhl4+9v1tQJ6RUnBByagB0txaHlFeEcRCNJRQAAEABJREFUkcDjO0oq2uXUzvLvScQpRpbVRpSf1tz0yeIjc8qEcDEwBGRIHh+1P8qs3cAviiJhXA/4Kc2Kj+wePPPSStUv/x5C41Hr0XHadrQYtwkd1L7f/P2wtIRSabUn54lrjzF94xn0nb8Pk9aexObjtzB2xTFcvvdcv/zBKQSjlh8FlWPL8lSeqVRbxr2v/9qDF3od41WHrkXbXOWK+dMH60bKRJ7InT5xsHjbiH92XcSwpUew+cQt80obk5zMYmbbJwkLAUcm4OrK38k3v/WB6jEYp5aZfj8dWXaRTQjEdIVXRjgqCKTKbJzaYNsW423jnCjMx/ivvH2tJFa/79h/4T5eKiuvKeHC7Wd49trHFAx5r64T+y7cBRW1/aqOZfuuYLi9Fz5UPnuVUEG1F/8ucfxgxzeTt4KPVH9beRytJmzBrrN39fzcS3ef6+kLd+xYd9lWsRypuIsQd/zaQ/CiGV9ZdHmzwUoTx3c334AwHJLbcvJmsCR7cwyDZYpBEVxJ5Or957iprPEhHDYxqLfO3ZUiWVME64C9uGCZHCSC1mjjEyoDBnxeFM3K5VKSGXDw0gO1lz8h4PgEROF1/DFyfAn5Ilvt9kA8i8da1Ayvnwae2fwYvnwKbF4A/DUE+G8ycE3lcdAeUhGzFc2AsKkVtIPYviznoq0j1jVSYbGOQYgt2H48g+U4F3D90Rt6ZYOzN58wKkzur+0XrNqhHJw+8cXo9Wg/dZt+Qa3vX3sRoP6nTBQXHm4uOn/SBHFQo0jGMLXBOcB7zikFf/clcM9pIJYFHzz3wtyt52AwqAto46L47esyiOvuCt5AHLV4kY1lSJ0vx4z576i6STiql0O6aefDIC+9/DSLoYsPgW7tketaiWcdMc0dUYy+HLsR30zZhq8nblFuM67efxFKNyUpOgk0LZtT3dzx/A6Ei4v6JVEHda50b3+SER6Z1cMofUPOm+qdZ+7op0bhKW+bl0+tRv93DH3m7cXAhQf0b8DXlfOgVO7UaF4xp17u8cS1Rzh29ZFt0UgP333y2upp2RX1lCzSG5UGnJqAKLxOPXwOJHzuYkCPP4D2Y4AuE4HcRYFEyYHFY4GhTYDflEK8fi4wqy+w9W/g3AHg4DpgZh/gxlkH6sgbUeLFcUOe9EnfRCifukapbfA/fhnONrb1x3nxy5cl0Ebtf2zwof5qnG0ee/W5qrMySXwPq6y8f1hz+JpVHKc/tJywCZwv/Pv6U+gycyembXj7DcQLL187qyAE4sbDF8pSbWnRNiBHqiSY+10VLPq+OuIrHo9feCMslmYqt5zy0f/vA6AizX3HaTv0nGhTJ6auO6UvyBXypcUHmZMhQVx31CthfOmQL8eZ8nFvWg5p88lb2Kes5FwOycvHj0k2LhBksfXUbdDxYs2VJWwyOV2QNw9U3qnE09E/ac0Jq6kv/DLgH5vOOF3fYovAh688UDd3QLHsqTCkaXHtX6ae8oSl/zzXLd8R4DHNY8K2bPdZO/V0KU6b+vmfg2g7eQs4Hcs2X1jC+y/e1+8l8FijFZdPvOJ5uKFxmezm4lwFh4F5285xF2WOfeo8Y4fV07JO03fA9E5FlAkiDTkVAXVpfSOv+ITAexFwcQVSZwGSpQP4RTbv18DVk4CPF8B5vjsXAfdvBG8iil5uC97w22N61C2E0sqaQWUsRaK4qFMsCwpnSWFVUBko8WX5nPhQPbL09HBF2qTx9HJo1QplwIfZUmhFt7xS6srmSWtVjgFagjkHLmuqhIijrKi50yXBjw0/wh+dKoFKMpXl1lXyAIZArFYKb6NR61H31zXoMWc3Zm46q1dPgMU/rmHr5Rv8a3MWWbRimUApl5ZxCDSoC7DBKkoHVLvcU7bKBdLTi9WHrBVvHWmz2aWsS5yXbBnNR+8TV5/QL+jVHroaW0/ehpuyen9TLZ8522dK4fVQHPj41NJiHdJUhQSe7uayXEKOljNzRJAnpLJByU6xo4JD5Z1KPN2o5cfsWnMv3n3mFP2JjUJScWS/+YSEvxV50ifRNyzL9l9hdIiOim1YVks5dOkBTt+wfspDKyjnuIdYeSgJ69XTEdvk1+omk3Wa4mt9mAkpEsYFnzacuvHYFB3p+30X7gVb8YY32bRqR3rj0oDTEhCF12mHzsEFf6F+/J5ar1IA2FGooP7dPA/wS207lwCn9wC+YZgPq4pFxR9fauv/eVHM7lQZM9pXRKeaBdC/8Udoo5TQkrlSo6pSarne75flcuKXZiWwtFcNzFLKKj944aoeW1rKyMeXDUpmg2V0pQLpdJ1Tvi2P5T/UxLjWZVA2TxrE83ADleRGpbLh89LZUaNwJkDxe/bKB1Roj6tHiEfsvPXNqQk3Hwb/Ah0s/l1/8ALeSimm1dgU7aK0dvVnCpr38S0UY17cmLDx+E34vOWLaPaswIGq8OrD1/ULerw4qe7oR7wBfA6r0vhHpfWTjzLTi792XNB7bu6ox5fcWzqDwYBhzUqaV9qY3qGCrs8yD/20SnMfThcl2clx6vrTaDFuE+oPW6utc7Y3ChTEVmk38EaEQJlo4V75+OLinWdYuu8K1iqFxdnWebXoSozyckzoeKNZLq/xxrdZhVy6jwssjnMdYbMJ62opV+4/tylpDF57YD/emBry9rp64mMv9c7TV1bRjcvm4DwNDFIW5cGLDuoXe/X5bZUrYgP8DbNX4135UJA9LBIXREAU3iAQsosCApYalmVz188C8wYB6+cAfw8DJnYGvK1/VC2zR7efymgjpYQObFwUPeoU0l90C6tM31TNq9cLpmK7qEc19K5fJExFLZVCUwE7+o7SIQ1Inzy+KYt5z8fdKw5exeI9l8BlznhBypcxCTrWyI/vPimIPzpXRPmgC7G5kPJUzJ9ObY1/2dMkApd/45SIHWduGyND2Nqbbww7AtN6deHOU6ta6isrLw+V3efuamt2Z/Wo8qmdD1FwOaRsqROCNyVcaSORpwdyp08C2395MgSPs80TWpg3GOduPQ1mUQqtDNP+3XtZPVLeijrKIt/tj104aLNMHfMs23dZjwkfxXLt5f0X7uu5xxb3AMyG4Eq7wR5OPH/tp1cNmbz2JGgRbjlhMzjHUldiseGcSz4l4NOC1pO24K/t6qbTIl28YScQlpuWdUev6wp5g6s9alMse0p9Pj164YU/Np+xevGQ56flsocq+1v/sqS0eIfCIjfntnKaD1eS4f5GKDfEj15463XH+YnvgACLSoK8nuoJVq601ufTa77Aa4C2Vm8/fUcv3TgpkldLKZo9VZBE1rttqv02k9U598tqvcTjrrNcQcg6j4TehUDMKCMKb8wYR8frRbK0ANfrtZRMWeSQpwTg9uYxNDziQWlpsPrH5cyOb7eKMgdeK2vFTXVx5nQJc2QYPJwzvHQ8MH8oQEtyeMuHoYmwZomnrLecupDQ4nF8WMta5wvUL5NZxgUoNYgWQ1r3aOXjigtbT94ClZrxq06AafeeeoHK4aAmxfUUDVpu0ySJh//VLYx21fKhdO40qFIwPfo2/BAma6upDealf42y1HIfkrt493kwa2tim3nJprJUGEx+7g8opY+HirqGamv2udtP4e3nD0uLeSLFjoo6LdMsY3Ltq+VHqsSepqCiAWUxV8eiOSZ8Hs4l/mz4WnC+4Oej1oNzkamM2NZCpYLLzHG5Oc6fXH/0Bn5fd0rPd6Y1nY97B/9zCLzx2Kgs5LzxOHX9MQ5ffmhblS5z32aFjOxpEwXLlyt9Yv10oFzeNKAi9ZWyGJKZZUayZVuWcVSs+y/YDz4loDJPBWj2lnPgh04s84k/bASW7H37TQvHnLXVKJKJO7MrkyeN8huwYMdFmF48XLznss2yhzv0cawyWv3ZrpbyYbYUSJXkzbHPzIGq5BF1jHGqE6cBcM8byHvPvMDH/3y5jTdZVHB7/bkHTcZsAOfC1v1lDS7ffaZKsxaji+vuivbV88NTKb3GGON2SzSslsKbeg83VyVAoHLGP/4WPHruBVp/2R/Oex66+DDu2nk6ZCwh29hGwCW2dVj6G0UEOJ/38++BbIUAj7hAUvXDXq4h9Acres0FvhkJ9JgJVGtuX6Dbl6zjaW5YPBoY1gKY1hP4tRm0Rdg6lzF06SiwbCL0ShDbFwGH1hv9RzYBZ/cbyy0cDq2RPbwF3LsGsH5jaYfcFs6aIphcSeLFwbT2FbWV+duq+dBBWWvdXFyw4sAVbd2jlY8rLkxeewqc6mCqgMpkvDiusF1FIo6bC2hd7f/5R+hZrzDKKYuvrQJVsUA6rWQfvfJQL11mqpMXFSp6VPjoFuwwTkf4unJucB4yreE/2LFmu7u6IH/GZKZq9H7/heDrNxvUXdGYlqUw9dsKGNm8NBZ0rwpOKdEFLDZ5lTV3dufKmN6+Aj4vlQ28Ym84dsMiR9i9tx6/wuzNZ61WeeBqExuO3bSqhNZZKgl8AWm/UtapRIxdecwqDwMvffzQbuo2DF96BLzx6DZrF6iMMO1tztvHn10xZ6NS37F6AXD+d9+GH4FPCsrlS2tOt/TYTi85r24gqPRa5qH/sJ0pMowXFzqB/ReDH69kbrppoZXx+WtfZEmVEDnUUxLL2jafsD6Wbj58hekbT1ste+ijbvY81LmZJ10Ss7LJJyA81i3rot/XV5lllQ5Yo3BG/NToI2gF28CUN44vfHWYtg18qc10zrZRVv4j6pw25aKiDPVD8WODIvqlVX7JctH31VBd1WvKY9rfsaNQsg1ai015InrP3zZy4W+H6WlZQ57vNg3x5vTo1eA3lTbZJBhLCIjCG0sGOlq6mT4n0GIA0Gc+8N1koMqXgKsb4O4BpMsOJEgKpMhoXzQ/H6NyumupcX9iG2Bp9Q1UP+y01K78HRjf0bgSxB99jdbbOarNwxugV4LYOA9YOyt4GxcPA+M6QJed9B0wug1wObiSErxg9MRULpgOX1XMpT+MQUtLwczJ0E9d0NIoi07VQhn0J5XrFssCTjswGAxWQj6yMx2AX1DjRckqYxgC8TzcUElZf9U1FfxgBueW8oMctIBS0aPCR0cRvq6SG43L5NAv7VE5pQWKVlnLF/T6qAsqlz0LQ9OIF8cdaZLGU4pDAitrr21ZF9X9jCkSoHnF3EieMI5+RLvr7F3bbG8Nn7v1xErJNBVgvMnPPS1lvLDSb3K+IcxxprXXlId7/4DgLxgaDAa84GNiZlButrK+cl5vtlSJtCJPZZ5Kva3CQ6tXHGWFU0Ws/tIo671VhASw48wd/cibXzfkVw45tzyysKw5bJzOUN1GWXytbmJojbRsVx26sDd9KX2yePitdRn9jkAjpdipQwR/77xoWRSrDl3DY3Wu50yXGN0+/QC0Hif29LDKwwDP3eevfOk1u3t25r6yDZ5zPD85lYk3p+YCFp4CNjesTMqUMgE45Yj+iHb8fdmknpLwJqCnujE3PS3j/OiIbusd65NiDkrAxUHlErFiC4Es+YEMua17Sw/E5VcAABAASURBVGvrcaXgcvrButkA9yunWedhiGaO/WuAh7egV4LgihAb/mSKtfOyMx84UF1auHKEKSdfsls13RRyuL2Luvo0LZcTMzpUxLLeNTCyRSkUzJQsmJxP1AUvWCSvcDaR6ZPFVwqkuvmwiQ9L8K6yfCp6+s3sX/49jDaTt9id32qAIVh1nBIxxeIFPU6fsM1k+6iW6bRoplMy0x9WxwtiC6X0Mv/sLWe5C9U99/IFpzD8pB73c/4r5xDbK3Dj4QtlhTujXzCbtPYkTtt9Oz143/memW19gYpRiZypkTqxJ3gzkcjTHf7qZu67GTvAx8v1hq3FX9vPwd3VoKeYUJGncwlePVzUMWJaJsrUTqDy3FbjxakNyqv/4rirn30m6NCbTWalpLwJvb/v6SsfbFSKyeI9l8ApHe9fo3UNvAng04T6ihFf+qPV3LKf1rnfhPg0Ysiig+Ajbz76Zj28eTtz03qFgzclQvelSRwvWAbOwR60+CCajt2IPefvqfRA5MugbvCVz/THcYjr7mYK6n2g3VssIHkCT53OTcNS2fVTFt5s8oMjjKPjDSf3/J3gnq5ojpTcvdXZORx0mWTx4+h9aJtWlfMgnVLILfO4qydNluGQ/GRvO4Zc+7fHnN16/j6nYv21/TxoRe/2xy49H77/3/s1JbZreTNXKEvyYM1QSbf3OeRgGSUiVhBQv3yxop/SSUcm0Hoo8GU/oGoLoHEvoHAlKDOHtcTeoa88YM7MK405EIrHjsKABzeB28pqcmANQPco9BezQqk99KRITLX3spi7m0ErQwj6x65/UTZnUCh8u+sPX2pF17LUK2Wpsgyb/LbWK1P82/ZctomKW1plzfX0cNXLvfVt+GGoVt2Q6qxZJKO+GF+++xwjlh3VKxfcf+ZlN3vfv/aBy3/tVQrK2iPXseXELX1htcqsbrKOXn0EKhe0NHEaw7ZTt6yyMKB0T9QrnhUcjzjurlrZKZM3DZOsHPN1+7Qg5nSpjCW9qmNe149BBYoWYz4Sfu3jp/IbkDJRPG3dV4FQ/8htUttyeq5lm4/zIGEcN/0yFJV4Kp5L9l1B//kHwPs9zqmOq2TzVHmAQMXm3aZ+2BOIj/Rbjt/8ZvqGUlb4RT97ed8ljqf50MWHwDF4pRhxWgn7x5cA7dXHucrngl485CNulrfNd+jSfat5rXyh0jaPbfjS3WfYelIdJ0pj5BSheOoJSMYU8cFlBM+r9rhKBs83FaHndMPiH29QOEXIIgoGg0G/hGkZR3+1whm40y5JfA/z3HreoDFy2+nb4BQc3rRwGUXG0VHZqx206gnDdPkzWivejAOMUsLiXyb1lCRr6oQWMfa9fHF0ZsdKerWUsa1KI2kCD1xUXP47cDVYgUvqPFyqjkGeX3efeukXNC3HcJG6ORr494Fg88t/XnhI3zTxCQnHhdLavqSXJ30SdK39AWyfIKVWT8GCCSIRsZKAKLyxctgdrNMGdRjm/BAoUx/IWxLgfF9bEXmFto3j9AjbOHXhDhbloawUabK9iY6rLki2L9QxlfVN/R5Y8bvRTegEnNjBFKdxXD3CzYWXgzciNyufS1uGO9cqALrpHSri4w/Sv8kQDt91e0scKSXQXhVhtS7ZlnVV8nNZNy7vxmXeuNwbH1va5gtrOGfaJOD1fMOxG3puc8vxm8BH2H3n79NLgbUYtwmjlDJsz8KXO00ifFE2B4rnSKXny1YumIFVwfqfQVtnTXFKfDQomU0pnfkwrX0FLFcW+TFKEWjzcV798Q5TPu6p3CeNr45PBpTzcHNB/Lhuymf9d+fJS4R1CgqntdQrngWNlCVwcNMSuiLOz6UFdIqySD956aPnki7sXlU/LfiraxWkTRofl5SSMn71CW355JxTXfAdN0v3XQYVUcvipkfulnH2/FRoqBBRoaWjn3GWeTk/lkq1ZRz9hy8Hn69JpfCz4WvNLx7OsmftVworvz5oOa+126xd4Nx3WqqpLFNpphy8KeLqF3WHrdHTIrz9A5QCmgmc48qbluntKyJjMvUbQ4Es3Jmbj4ONIefdc6nDcnnTgC8e9lKP6Me1KYs2NsseWq6Wwiq5VCH3fDny/rPX+DtozjyPVcZbOp7z//asjvGty4J7fvTCVgnMlzEJRn1VCnwCUyJnKjQrnxMjVdhFKeCWdYXk5y8OnxrlzZAU3WoX0tn40uahi/f1S2S8weA4GN8pOKnPw1bqPOQY6symjRoHcjYFjftA+Pj5G70W28N25pzzBvdtT5AsqhBvLCOgNI1Y1mPpruMTSJkhuIz8Ra36FVDiE8CkHNf4Oni+OJ5Ahlxv4vnCXK22QLtRQNepwLdq//0soFj1N3lMPq4eYam8cWrFjn+BAH+43LsCg+UUCFMZB9sXVo/1ZnWujO6ffqAUrvyY/E15/REMPnKkpYcuQ/LgF+OwdiNjiuAWH4PBAFpXXDhGQRXx4s11hIOC0bajwrLn3F0rJdXXPxCT1pywsg6uO2acZ2kraJw4bmhVKTcGNSmmV0QgR9s8DFdTFjguM8cXaBYr5eKbqnkZbeXSKYs1595y3iHTx7QsrZSDD6zyMGCBkUGzMxhCSjFnCeZJk1SdD7axqhoqxaZoWiX7NfxIv8O54sAVdJmxEw1HrsOvSw5j4/Eb4BfzuLQa95tO3ASnAXDeMvPSOkdlhkuf0YJLS/KfW88ppdl6qTlTW8EUHFOCxZ4KJaeU8AMbdPSPX3Vcf9q2wYh1aPbbRvClJYsiZu+dJ6/B9ikH5eFjf9sXDx8qyyJsboyVnmX1FUBWyA+fdPtjN7g6R+cZO0CledCig3raC6eJeKknG75K2eVjcyquLGNytOqb/JZ7g0HBt4hgWcsXDysXTI8E6pjjjStf9Axp2UPOjy2VO43uRZeZO3Dp3nMkUDdKpo/DWDShvfxKItcB5z6eqp8vu/KlNirWg5sUx+iWZVAgUzK9RCHXFW9eIRe4JrYuHM4NFeai2VPCR7H5QT01aTN5K1qM34h5240vspqq482DyS97IRAVBFyiohFpQwiEiwCXLkudOahI0C5VJqOyW7MNzNMfitcCKjcFkqcDqNhmzg807Qu0GQZ0n66U25FAzzlAkSrGSpKkBNJmg35xjtbkz7oCBcsB+UoB1ZXy7P3amM9yyxUcRrZCvD++R5zJyuI7sQv0nGHLPA7m50smfEGGVj4+boxI8TIqZZnWKMs6E3m6o0+DD4OtL+xic3G3LBNV/vtKueFjUMv2DCpgO9eT9zmB3Kg0yz9+EcsyXDSE9T8LqRuNhIoDLdFUIC3LWPqZp4pSamgBzmf30TJQTFmTLcvQnyd9UvMb+gyH1YWkYFJhs6yDNwbG4SIdYwpXEOA0EK4HS4bcj1hyBK0mbgYVv792XtDzmPnS1/9m79YvTXE6yNxt53H+VvD5sFQq96qbj+FLjyjl9SCW7L2MB8+9MWbFMT1fuZFSsocsPoQ1R4LffKw7egN88fCFly84JYX+4MMVCM6vZvuUgxblof8e1kqhsUdBW9XFHMrqz7GKoyzqfASeP1Pwx/yUl1bZoFKggrb7zB1T0Lz3U4rdtfsvzGF67K2q8q5jyPpsHa3nR5SFU3VF94/7F15+YV5ajv3mS21UrIvlSAkXVmDbyHuEn772sbrJvP/EC742VlryNRhsGlbBuO6uNi0b4OFmG6d+1rOmsMknQSEQOgGX0JMlVQhEAwFaWmmJbdIHqKasutwzzHhbcco3AjpPhF4JotVgIItSepknUXKl3GaH1Zq/jDc5gwvwQQWgQXfg855AqU+V4pzWlGq9f/X8Tfi+uhjzAxlcIYIv03FtX67x+1pd8LYvgl4KjUuicWm054+AjXOBeUouriZxS1k4uMYwy/NDG6unQy+JRqWafsYxjXmYl2VYlnWwrmungf8mG9vYvAB4qaxobJsyUBbKxBf0Tu0C/h0LLPgV2LMCoCLPVSv+UTcAdPT7egN84Y/Lsy0eDRzbCv3iH/OzHMuzHvbdpl8/1syBOQXvYVayXfgj8xn8WS8dUgc+R7ytfyH35vFIuGU2dL/4MuHaP4z9555he3211y/yI8e/hgBsn3IoedyX/QbPJaoflJOfrKbclJ/9YH/YL/aP/VQu1aUdSOzqj3oBJ/CT/3p8778F5QIvwTPAG40CjmJAwDr8L2AbSuI6cidzRzPDUQz0X4tu/ttRL8VT1M2TyGoM87o8wFeFk6JNwD4MCliD9gG70SiHG0on9QHCMoa2/eJxYzOGXxRNh67ZnqOfy3b8jI3oluIqetTIBVj0S/vZV/aZfScDsiATsgkaw+wPTyBBgBe+CDwCU7+KBN5E7sTqkOYxRL7qmHp8+ogew9YW/coc+ATpAp7im4A9+Fkx4T6NCid4elv3m/1n/td3byJ/4B108d+BnwPWoXnAISSGFz7CTZAj22X7CQJe497ujfjwyDx8fOpP3FmzEH1mboHPwc1o+2w1urxcjYQnNsLrxUtUDzyLPv4btasWcBbufl6oZzGG5XEJqeIEoFuyixgUuB59XXeiYfInSILXun3KQXkoV7LAl2gZsF/3oVPATuQMvI8qGd0wLtNFLM90AFMynUP9zK7IHPjYql+pA57rvCzD/rOOZKou8rPqV6A34l09Alich82KZ3j3MfR6Cb1WOM9p1snjg8cJzwOOlzovbh/cDQ/v58H6evHMeejlGvlbwuOR5xvPO55//C3hnmHGM535TL854TgPrX5feMzx2OMxqI7FwH2rcf3mA6sxrI4ziBPgA9sxLJzG02oMu+fywaA6ufC/hKcxOHA9fnDfgx6F3TGodjb0iH9cxa1Db4996FUiAT5MFhC8r/b6BfknBIwE1FXf6JHt2wmcuXAN2/cew8tXXm/PLDnej4CLuqPPXQwoXQ/gnvNr36/Gt5cu1xAwKBMDgv7RH+AfFLDYmdby5Z5r+/IixLWBuQQaL05UTGb3B6YoZXr7YuD8QaNyyTy//894MTt/CNi70piHcfQzjkory03rZSzDsqyDcTP7AAfXAWxj69/A792Myi9loCy8cM1Q5RaOMCqwZ/YCa2YAnJesLpI4uRPa0T+9N0CF+tRu6OXe/h0LzFBxzM9yvICxnmk9lMI3z9im7tcAGKb2QOojy5H2/imkUwpl3Ll9oftK2dkH9oXyTlV93b0cuv/cT1HhYH1VfbDtF8vNGWBU8NhXcqUcSh6XE9vgdn6fsV/sK+XmcnXsB/vDfrF/QX01LJ+E6W4r0D5wD8rgKj7GBfQN3ISJhhVoE7gfpQKvoVrgOa2o/fJqEZr77UdJXEcNnEX7OwsRf5biSf4cByqXagybnpqMRoHHUDzwBuoFnkSb89OAYP1SYx9sDFVfg/Xr+2BjGO/PH1Hz/N8o63sWJfwvo8bd9Ui/aABg0S/tZ1/Z51O7QxzDBMvH4g+PFWgVcACmfv3qvxpfX5gO8BgiX3VMFd82BpMCluBzi35N9P8XE1Vcg8ATKKGpDLB7AAAQAElEQVSYcM88jGO/2X/mnxS4BKMDVuATnEGJwGtoFnhIlVuKoaodcmS7bP93w3L0Ddikx4BjwTHp/fhv9ArcgsqBl1Au8Aq6BO7C2ID/0D1gOyrgMuj+F7gd4wOWob3lGKp6RvgsRY37m1E84CrK+ZxG27uLQfnYPuWgPGP8/1NxS9Ek8Kjuw6eBpzEuYBnqHZpgdR6W3z5C5VsCy35NxlKVdzlYhv1nHZMCl+LXgNWw7NcELEPa1WMAi/Mw/twf330Meb7yXOY5zTrt/L5kXzMaEwKWwrKvowP+Q9OTk636pc9Lnk88/3gMcx8B56G+QebvBH8vbM5Dw6qpsB3D7gE7MBnLYTuGA57/YzWGNU7NwQdrhqDak50oFnAVFb1OoOqBSSi89ldUfbZXxV1DpdfHUHn3b8ZzzvY3x/Y8JEvvV5B/QoAEROElhTC4sdMWYeSUv3Hw2Dl823MUrt28q0s9femLyHKvvI3Klq9/YFjbkHzvMx45yuD512Pwumob7Z63Gg0Y7JwigQGw/hcI2K7oYFCKMy2wlhlZjpYayzgq1P5+ljEA8zCvZeyLJ5Yho//pY+PecntPWaAtw/Q/vMmttbt7xTrM0N2r3Fq7x/eswwbV16cPrOOg+kqrlGUs++XtZRkD+L4GgvXVzsXoiW39qppHNnKoKNy9xq21s+2XEjfRq/vWeRCI9AG27AKR4JVNuxE+hs9s5FDBh3fUxuYvLGOo+gXbvrIaO2OYyNvm2FFj6MonBsxvdgYkgI85RI+7yucJ62PT0+ALd1gf/wkDfZndyqUKfGEVZiCl/3PurFy2QNtxALLjoVUeNVzIBFt2gUjrr56gWOZUh2EK2BxPagyTQh13FvlcVIUutqu+qOPVDdb9omWceS2KImmgzTGtEtP628qmIu2NIVeBUUnmv5DG0Pa3hAVs49TYpIKyBDPN7AyI428jn+oXIvs8vBP8PMwaGHwM0wfaHIdqHOKqpwVm8elRY4hnwccVXDaS6SbH30f+TprC3LOvtr8vr57h1Yl9iKxrtG29FEOc4xJwcVzRHEey114+WL5uJ34f9j90bdsQDT4pj7+WbNQC+voFILKcv7/xB5gLkUdWG1Kv9fh5J0qDlwU+1s47cVp45zS+5a4HW28C9dZ6w19p6xioH3PbGATayWevOiqQwQrbKQt7he3kC7TNZxsO1lhQhL18duoPym21C9amSrXX/7D2QRUP9mdPPNtMSjGwjcL78LXXB7tyhJFTWPtvyzOs1Ye1ftj5Z9sms9jr//u0wTptnVJSraI4hsH6GyzCqogxwK2dwbHXB3t9tXucsE5bZ6cNu2Vt8oW1C2Hma1M/xbTXL3v9D3MbrDQMzt4YBisWVgB28tnrg72+ss37NyPtGm17/WRz4hyXgCi8YRib46cvIUeW9HB1NeLKmS0DTp41WsgSx3dHZLl4cdRjfSWfu6sh0tqILNljSr0u9bvAv9rX8MtZHH75y8OvfjcgTjw1KpZ/6kJj+wPPH2Tb32leuC2L0W+bR8ep+ri3dC6WgSC/Peuzq2tQosXOzcMiQK9q1DaOTQYrq/LZtsGLiopmLW8cC78JaZ8tD0YGK6ciw5rPxV6/3FUFNn/B5nmrRl1sl/lS8gZbGF/F2coS0WOoRLGRFrDlC/Uv2DioONvxUlGwneajuqB+pJhi4VSjtm040BgG2OlroG2/qDyGZQx1v2xOFD2GioEFEdg9D23yML/dfEywcbZ8mRx0raDX7FztHK/B+qoG0cX2WFey2R6vuq/mmkP2GFRZ21Q7UbCbT8liWzaYbCqDnTFEsL6qRu2OoU1fdb9sx1C1Yftnd2xUG7b5VNgjf7Eou36q5uTPgQnYHFkOLGkkiBbWKnNnz4jDJy7Ay9v4yI/TGqqU/VAXd3dzQWQ516AfTRcXQ6S1EVmyx5h6PePCtfSn8Prse/jV7QK3QhWA2u0AruWLoH9pc0B/NIMrRQRFIVMegC/UubiaYoDcxYESnwKWF0iuEkGHoH9MK67ycN5yUBRYB+vKarGEFRW7yk2AtNlNuYwyfdwcSJnxTVy8hEbZLNcdpr9GSyBB0jf5kqcFqqk45jfFsp4qzQCrfuUFKqp22b4pX9ZCQKm6CNavj2yWfitS1bgqBoL+GdTPT8k6gG2/Kqn6Myp+Qdl0+1WaBu9XdSVvMiW3KR/7U+0rgP0zxdHPOKt+ZQI+VvmiYwxt+1VVjde7jiH7zz6b+soxrN4asOqrOhYceAxd2AebMTTU/PrdxjCdOg8rfQFYHpvZ1DnDc4fnkInT+56HYRrDFsGPVx6HPB5NctDP/luOYbJ0AI8Jq2MzO/Cxqi/Kz0N1ztn2NaznYc1WYRxD1S/LvoY0huUaALZjyN8Og4uJpvG3xfa3VP0uuWXMFWXXzzfCiM8RCVgcLY4onmPIlDhRfPzUrQXqtvwRHfuMxX/rduHTaqUdQziRIuoJ8Ef1+1nQa/p2nar2I6FfruMSaN8qP5dEa/0LUEldMHrPBb4ZATA/V5vgxZxxbYcDveZArxLBlSLoZxzTaimlhXlZhmUZx7q+Ggj0mKnqU230UvXyQs72tAyjoNsorRTPjuOA7yYD7ccAPf4AStYGuk4BOo03OvqL1oReuq3Db9CrXHClixK1jflZjuVZT9n60Eu7sR1Tvyp8DrD9b5QclIdy8cJNOdkH9oV9+lTdGPSep+RV/ee+bgdjf5nOfMxfQ10YWZ71sD7Wy/rJj+2xXXIt+xmg5PHpMBEvW6r62C8uS0e56dgP5i/+SfC+sv/Mb9mv0nWgeXH1D81P9aV0PQTrK7lTTo4Dx4Pj8q5jyCX0bPvF5fHYRy1DOMeQfWWf2XcyoCuuxtW2r2EbQyAcYxioxuRp08EA2YRzDK2OTR5zlJuO/WB/eGzyGLU8XsM6hjwneAzxWOIxxWOLN1CU01nGUClpwY9NdV4r5uCxQkY8jnieqL4++/IX+HefAbCv4RhD/fvzjudhlI8hb9psx5DHHePYB/6m8DeHjn7GMY08ov4KIS06KAFReMM4MFRwl/4xBP27t8SiaQORPGmiMJaUbDGSAB9Fck1fru1r6iAtS7TWJUpuijFaR2m1iM91oIKi+XGM9DkBT2V9DYrSfsYxzRTHMixradmhNShddsDdw5QLoAyUhTKZYvm1utRZ3lhFaAlJkQGgo5/5XFwArm/MdYwNBsYAtKKwHMsbY6AtZrb9YvuUg/KY8lF29sGyX3HjAewD96Z8TGc+5jfFsR7Wx3pNceTIdsk1KC5QyRWQKrNRTsZRbsrPfrA/Os4Fup9WfXUFbPtFXuRGfixHx7bYJttmmI782QeOB8N0lJ19YF8YpqOfcUxjmI5lWJZ1MEzHutkG22KYjjJQFsrEMJ3qq5aZY8KwwV6/VBz7TgZkwXzMb9tXtsU22Tbz0JE1mZM9w3SUnX1gXxim49ixD9wzTKfS/dLkAJifYTrWw/pYL8N0bI/tsn2G6YL1ywC9ljb7ERFjyPYpB+Vhe3Tkzz5wPBimo+y2fVX9AuOYxjx0LMOyrINhOnv9isgx5HHA44F1sj06MiRLts0wneqrf5pssHpaQ9nZB/aFeeg4duwD9wzTMZ35mJ9hOjIjO1Uvg9qxPbbL9nWE2jjbGCqR5U8IqF/LMEKQbPCM64FUKZIICSEgBISAEBACQkAICAEnIiAKrxMNlogqBISAYxAQKYSAEBACQsC5CIjC61zjJdIKASEgBISAEBACQsBRCDiNHKLwOs1QiaBCQAgIASEgBISAEBAC70JAFN53oSZlhIAQCDsBySkEhIAQEAJCIJoJiMIbzQMgzQsBISAEhIAQEAKxg4D0MvoIiMIbfeylZSEgBISAEBACQkAICIEoICAKbxRAliaEQNgJSE4hIASEgBAQAkIgogmIwhvRRKU+ISAEhIAQEAJC4P0JSA1CIAIJiMIbgTClKiEgBISAEBACQkAICAHHIyAKr+ONiVmiOO4uSJE4DhLGczfHiceKQJQFEni6Ia6HK+Rf9BLgOSHnQ/SOAVs3GIDkieLQKy6aCSRN6AFXFzUg0SyHNC8EHJ2AKLyOPkIinxAQAkJACAiBtxKQDEJACIRGQBTe0OhImhAQAkJACAgBISAEhIDTExCF1+mHMOwdkJxCQAgIASEgBISAEIiNBEThjY2jLn0WAkJACMRuAtJ7ISAEYhkBUXhj2YBLd4WAEBAC70PgxcvX+GfFlvepQsq+B4HXXj74b90uLFm9HV7ePu9RkxQVArGLgCi8IY23xAsBISAEhIAVgXVbD+CnETPxYcFcVvESiDoCg8fOQZ6cmcAbj3HTF0ddw9KSEHByAqLwOvAAPn3+Ejv3n8DZi9cdWMqYKZqvnz8OHT+PS9duW3XQ19cPB4+dw/4jZxAQEGiVJoHII8CL+807D6waOHPhGrbvPYaXr7ys4iUQ8QQCAwPRe+hUbVUc3q8dsmdOZ27klhqXrbuP4u79x+Y48UQeAd50pE6ZDJXLfojDJy+YG5JxMKOIdM+1m/es2gjptyikeKvCEogyAqLwRhnq8DXEH68m7X/WitWoKX9j8pxl4atAcr8zAd5o9FdWrNWb9qDxtwOxdss+XRcV3K+7D8fSNTuwXD1S7D5gIvh4USfKJlIJDB03F4fVDYipkbHTFmGkOi948/Ftz1G4dvOuKUn2kUBg8cpt+jF6tkxpsXLDHvj7B+hWqOi26zUaJ89dQZe+4/QNiE6QTaQRKJQ/O/jbs2XXYTT8pIJuR8ZBY4j0Da8BwybOR59fppnbCum3KKR4c0HxRDmBCFJ4o1zuGN/gyo170PLzGujatiF+H/4//PXvBjx49DTG99sROhgvbhz0/19L/Phdc3zVqDpOn7+mxTqirCkpkyfBoJ5faxc3roeywB/XabKJPAJrt+zHsrU7zQ3wJmP5up34fdj/9PnR4JPy+GvJRnO6eCKeAG/yBvRoia7fNFJPPs5h2MS/dCN/Ll6H0QM6osNXdUHL74hJC3S8bCKPQK+OTbD7wEmMnbYYpYvm1w3JOGgMkb5Zs3kfPNXvvqmhkH6LQoo3lZN99BAQhTd6uL+11W17jiF3jkw6n8FgwAf5suPi1Vs6LJvIJeDu7oY4Hu76BuPY6Yto1qCqbnDPoVPInzuL9nOTN2dmnLt0g15xkUTg3oMnIPfyJQuZWzh++hJyZEkPV1fjz1fObBlw8uwVc3q0e2KgAJxWlSd7Jri7uaJGxeJYsnoHvH18teKVJVMa3eOM6VLp3yh5kUrjiJQNFamBo2Zj25JxqFGpOLoPnCTjECmk7Vdaq0oJVChV2JwY0m9RSPHmguKJFgLGK0a0NC2NhkagcP4cOHjsrM7ioy4sp89fRSGl9OoI2UQ6gVPqEe3vfy7H8L7t9DgcPnEe+XNlwf4jp81t7zt8GuWKFzSHxROxBDhv9Lfpi9C1TUOrinNnz4jDJy7ApFhxWkOVsh9a5ZFAxBIo+WFeXLhy//LjTwAAEABJREFUU1d67+ETlCtRUN8U8qbPdLNx6vwV8MYkbhwPnU82EU/g/sPH+rhPnjQRerRvjBu37sk4RDzmt9boH2Cc0hPSb1FI8W+tOAZmcKQuicLrSKNhIUvrJrVAK2/HPmNR48ue+LbZp5ALiQWgSPQuXrkNjb4ZgKVrdqLqFz3QfcAk5MmRGWWKF0Cm9Gn0vF7O7Y3vGRcF82aLRElid9WrN+0DX9Bp/b/h6lw4qh+j9xs+E4kTxcdP3VqgbssfwfPjv3W78Gm10rEbViT3vqd6jL560178uWgdeKP3jfo9YpOc3tNz0BR1jkzUc3i/aVab0eIiiQCt6JxHPX7mv5jzz1r06thUtyTjoDFE+oYvof02bREuXL6J6X+tDPG3SH6jIn0o3qkBl3cqJYUinUCSxAkwa2xv9O/eEiv/HIbGdStHepvSgJFAHaU8HVgzVT825KPDw+um6Xlbbq6u6NPlS0wd0UM7zlk0lpDtuxMIuSQfH+5ZMQl/T+mPMsUKoPu3n+Pn71vpAlRwl/4xRJ8fi6YNBC1eOkE2kUKAitaUYf9D9YrFMaR3G3UDmEm3Qwvvyrm/4vsOTbBuwUgUKZBTx8smcggYDAbwd6d5g2po17wOalctpRuScdAYIn2TM2sGTPq1G7YvHYfmDavp9kL6LQopXheSTbQQEIU3WrCHvdFUKZJoZSvsJSTn+xLgHF6+mGByHh7uVlXy7p3OKlICkUKA83TpOCa84TAYDOZ2OD48P8wR4olUAi4uBtjjzXFJmyoZuI9UAaRyMwEaRHhOmCOUh/xlHBSISPzjbxGftNLxPQ9TUyH9FoUUbyoXbC8RkUpAFN5IxSuVCwEhEBEEhvRqo6yLxSKiKqlDCAgBISAEYiEBUXhj4aBLl52WQKwVnBYtW0t7rIUhHRcCQkAICIFwExCFN9zIpIAQEAJCQAgIASEQvQSkdSEQPgKi8IaPl+QWAkJACAgBISAEhIAQcDICovA62YCJuGEnIDmFgBAQAkJACAgBIUACovCSgjghIASEgBAQAjGXgPRMCMR6AqLwxvpDQAAIASEgBISAEBACQiBmExCFN2aPb9h7JzmFgBAQAkJACAgBIRBDCYjCG0MHVrolBISAEBAC70ZASgkBIRDzCIjCG/PGVHokBISAEBACQkAICAEhYEFAFF4LGGH3Sk4hIASEgBAQAkJACAgBZyEgCq+zjJTIKQSEgBBwRAIikxAQAkLACQiIwusEgyQiCgEhIASEgBAQAkJACLw7gahQeN9dOikpBISAEBACQkAICAEhIATek4AovO8JUIoLgdhE4NrNe9hz8BSevXjllN329fWLZrmjtvlrN+9iz6FTkdboay8fPHj0NFLqj2zZwyu0n79/eItIfiEgBByIgCi8DjQYIkrMIHD8zGVs33scm3Yextot+7Bq417sPnASFy7fRGBgoFUnvX18sWT1dji6Ika5R/++ED+PmY3Ofcfhi3YDrfoRGQEvbx8Uq9kO+Su2RMuuv6Lzj79pV7lRNx3XpseIcDVLxk06DMLT5y/DVS48mY+fvoSjpy6Gp0ik5eWx16BNf/y5aJ25jfXbDuD23Yfm8Pt4/liwGkVrfIMFSze9TzV2y9rKzmPh8InzdvNGReRzdYPXqG1/+KjzNSrakzaEQKwgEMWddIni9qQ5IRDjCTx6/AwTZv6rlTM3VzekSJYYN+7cx8DRs1G35Y9a+TVBuHH7PvoOm4ETZy+bohxyv3zdLvj5+WP6yO+xbck4jPypfaTLGTeOB0b0a6fbIcNxg7tg/JDvsOmfMZg6ogcC/AN0Wlg3s/9Zi4/LfYTECeOHtUi481G5HK/GPtwFI6FA9YrF0fLz6uaa/RWvn9UxuGLDbnPc+3hafVETxQrneZ8qQixrK/umHYfRrNMQ3LrzIMQykZmQMEE81KtZDnMsbh4isz2pWwgIgYgnIApvxDOVGmM5gQqlCqFSmSKaQuliBVC8SB40ql0Rc8b9gHy5s4CWyVPnruj07JnTYfOisShSIKcO29vs3H/CXnSUxi1YtgklPsyn2/SM64F8ubJofyRvULF0YbRrUQerN+3F3MXrzc2VUVxLFc1vDr/Nw8fjsxeuQcvGNd6W9b3Sf+r+FcYN6vxedURkYRdXF3N1rsq/ZOZgUFE1R9rx0JrPJxJ2koJFecaNEywuoiIsZef5NPu3H5A2dfKIqv6t9XCqxrlLN8z5Pv+0EngM8SbVHCkeISAEnIbAm19DpxFZBBUCjk8gfry4wYQ0GAz4sUszxPOMi0Fj/zSnM6+vsp6aIugPCDBOfbj/8AmGTfjLlGTeUykxB4I8r157g3Mqg4J2dyxHZzcxlEhOx3Bzc7XKwcfMVhGhBPz8/UH5QskSYlL7r+qCCu6visOh428ea7f9snaIZWwTZi9ciyb1PwatxqY0Mr507bYpaLV/8fK1nk7BKRUmx6kVJlfnqz5W+U2BBPE94ev7Zq5nePsd0XOjA4OOI5N8SRIngJeXjymo97bHw5bdR7Bh+0GdFpkb23Zt27KU3VPdZKVTyq5/wBurfmjl/ZU127Y+e2EekyGdM5yycfnaLXMxylC3Rln8898Wc5x4hEDUEZCW3peAKLzvS1DKC4FwEOCj0XIlCuLYqYtaOe0/8g8Ur9VOvwjGaniR7TV4Cip81gW37z7CV9/9gotXb6Fcvc5gXuZZsX432vcejepNvjfPF50yZ7lS0L7FrIWr9dQJ5h8wchaza3f3/mP8+Ot0dPrxN5Sv3wULl2/W8ZxK0XPQFD39ol2vUXj89LmON218ff0wYtICpax6od/wGbpuzlFt2fVXdOk7DlT86PdTCu2mHYfAObLte49R8o3B1t1HdTUzF6xCqdodMV496h80Zo7uyzffj9TTOLoPmKTkbmeWRxew2bi5umJY32+ROmVSfNdvHHgTYJMl1CAV23Vb96OisrybMlLeX8bP1UxMcZZ7Kq7zJvbVVnla5ukWTRsIk5sw9DvL7NrPOaa1mvUC+8aI8PSbj+r5yL5U7Q5Yu2W/nrNMRXvtln2Y9fca1P+6L5p3Hoo79x+xaqVU+2HcjMVqTGai8bcDsXjlNh3PvtIazzGhLH+osjpBbRYqRa2UGofpf61UIeiXzX5W41GjaU89rmRCS3inPr+BdfAY4vxyZv5v3S70+WWanlYw5Lc/4W+jUB46fk6PPY8HzlnnEwzK27Btf9x78IRVmB0tp7btMjEk2dkWmVb9ooeeB8+89s4BxvPY7D5gIpp2GKSPTY4J4+3JH9o5o7mrJwJ9h83Uxytv+FhPtfJFcfz0JXrFCQEh4GQEROF1sgETcZ2fQIa0KXUnXr56jW5tG2l/gLJc0WI6csrf6Nq2Ib5r0xB8BP1dmwZa0duy+Df0794SB46exSx1IZ70S3cULZQbk2cv1eW//qImqBCeOHMZ7ZrXwfC+7fDPii1aqaEFq1W3X1Gl7IeYOLQrZozuhTw5MuHJ0xdo1XUYPlYX8W9b1AEf3/b5Zbquz7ShVbdh7Qo62KZpbbRqXANZMqZBQmXJ5FSLzq0/Ax/1Hj15Ub/MNnpAR0z+tRvq1SiDDj+Mwb7DZ9BUWVYzpE0BWss4PWH+5J/AslRahvRug75dm2uFi3LqhuxskiZOiN8GdcGjJ88xde5/dnKEHPXoyTNdLmfWDDoTXzzq9tMEnL98U4dD2uTKlgF5c2a26zKlTx2sWKF8OVCrckmYrJDh6Xe6NCk0J1bqrizpM0b1RI1KxTFYPQn46INc+GvST3j4+Cn+DVJsZ8xfBY71F3Uro1rFYvhpxEx9E0VFdZ1SmCf90hWLpw9CjqzpWaV2dauXQcE8WcFjjRFUYEsXzY9pI7/XNxynzl4B+9W0fhV8Vqs8Ni8eq8axLPYfOQMqqGyL1va/lmy0ehGOdX1YMBc4X1jfnKkbuny5siCn4te/+1dIlSIJs5idvXaZGJLsPA94w8M8tOqGdA6w7Tb/G4EfOn+Jv3/vj+87fIH0aVKGKH9o50zV8sWQOUNq/NStheZg4phenbt7D59WDI1PYCiTOCEgBJyDgCi8zjFOImUMInDlxh1kUBdOvojFR8yc4sDu8XF7lXIf4suOg0GlkoqCq7Juuru5aeXXxcWAQvlzYOHvA0B/8qSJ4OXty6Lw8HBHgnieqFahmFaQCwfNCb599yH2HDqprKJPUa7EBzovFbkP8mXH3sOnkCxJQmWt88fVG3fxv3aN0fATo3KrM6qNwWBA1kxplQ/ImC6VVoj40lfu7JlAWasqZblWlRLgi1AliuRF2lTJdN4q5T7SUzdWbtytpxEkiB8PJYrkQ8rkSXTfmalSmSLgY2Iq3wy/9vLmLkTHuin3N80+DTGPvYSHj5/paHd3N70nq1H9O4AKoI6ws3n5ihbtmdqCSks5Xzi0dGOnLQpWimOSOlVSczzHMzz95vHAwpXVjYmrqws4TlkypkXBvNnMnExTHpav26kVcY5bGsV8RL/24LE0W90MfVqttGZPthwT1kkXRx0jpjYY5guAfImP5Rj2UdZ87l3VMeemlG5a1g0GA2gdL/lhXty4/QBPnr0A2yqUPzuzWjmOOW+6/lNPILy8fXD/wWMtu1UmFQip3dBk57Gtiuq/kM4B3gwUL5JHH2PMyOOd51BI8vM4YL32zhmOJfuvWSgerI+O5wv3d1XfuBfnsAREMCEQjIAovMGQSIQQiDwCnFqw+8ApmKymti392ucbVCxdRE9l4HQDpr967cWddq4uLli2dge6qEf7uw6c1HH2NoGBxrmOVFwePX6upyQE2CyJ5uPjp5SY+7q9T6qUBF0VpXDbq+9tcVzB4fzlG2bLF5WFIgVygMs5va2sq4vxZ8hFKVch5aUC2nvoVAxVFmEqzSHlsxfPuZ+Mt7QgU9lhXEiO6R8WzKkVNr5oaGvpzZ09Y0hFwxzv6vL2fltXZoCJERVKTrvgzQbHjXtaZ/lCFecfIwz/7t5/BE5PoEJvm51TWUxxXuqm6rVSYNmGqa0iQTdUpjzcc8y/+ryGfrFr/dYDqFqhKKODuZDaDavsri72z4EHygJuKbep4bDKb3nOmMr6+fuZvHrvFzSVI7m6UdQRshECQsBpCBh/cZ1GXBFUCEQQgUiuxmSt9PL2Nrd0+dptdO0/QVtaWzf5xBxPhTZAKahUyP5ZsRWDen6NiqUL4+Cxc8qyF0c/jqcS89+6XVi9eS+4Hu6wH9uBj5GpaLIcK+P8W4bpf/HSqCTTykjFjXGL1ePwgIBAPc2Bc4U5JYLx0+b9B8rw9NlLPc+WcZaOL9Ex7O3jw512T5+/gK/Fy1mVlLyPnjwH53IyA2XitIUKpQoziBcvX8HP3/gyV2CQ4m1aVuxlkELvqqyaOrPNxldZHnsP+R0dW9YzW5uZhW1w/zbHedN8PH3PxipHeUwy2Nbhriyc9WuWw+efVrTralYuYVtEh33UTYR/UD8ZEZ5+v3j1mkWUxd14s0KLK7B/1EoAAAqMSURBVGXUkWrz6vVr8AZGeVG+RCHMX7oRJ88aV/tYu2WfPl4qK6s5p4pwugr58EMhvFl48dJYt5caQ/8gpa1l11+RPUt69OnyJatU4+mnnhj4aIs8pwdw6gfrLflRPr2UHtfwZdmzF6/jnxXGF7e8lSLs6/dGKaxXo6y+iRo+aT5oPdYV22xCarfyW2Q3VRPSOVC8cF49VcZ0o8j5vHz5LjT5Qzpn2JZn3Di4dPU2+JTkUNDLkjdu3QOfMvCGiHnECQEh4DwEROF1nrESSZ2EwJip/+C36Yu1tJ1/HKfX2eVLN3wk3lJZwEb0a6enJPgpxajHz5N1vol/LMWd+w8xfOJ88CUxKik1K5VAoXzZ9VzCSg27gRdnzsF8pBRL1kelky/lcB7vxD+WaMV4xvyVep5vz8FTdL1Ujjk/tG/X5tqa93Hj7kqe6eDb5lziaXCv1vj9z//0i2PfD5ps9zF/r8G/67rGqT7xUf72vcewdM1ObNtzVNfJRD6G/77DF/olsGGqDw3a9MO3zT9FHfV4nbJxfvAipcxv2XUE3fpPZBGMm/kvKD/7ywhacHlTQL/JUUHny3r1a5WHrVWRL22Z8r1t/9EHubUyZMrHF8HYHypHHAMq1aa0d93zJT3yZ195QxGefm/dfQRj1XHDtn8cNh18AXDW36v1vFy+bMZ5s9v3HtcfKeH83e/aNkDKZEnw+bcDwJfTbt55gI8+yIUe7b/A/UdPwBe8mnceoo6JZ1opXrxqG1hu4/ZDWL5uJ7arMeQjf86HHjhqFrg8HttlPZymwpcqq3zeHalSJEX1isXweZ1K6PrTBFRs8J1eHu6TKqUwafYy7D18Gv+t36Xro+yc7sI5wBXVUwrTVB3GW7qQ2g1NdlN5F2XdDekc+LRqKVDh5kt8fHluhZKroroRC0l+js8jdS5xzDgv2PKc8fbxRcNPK2DavBV6bnrWTGm0CHyqUjh/Du2PSRvpixCIDQRE4Y0Noyx9jFICfLFn/+rfcWDNVP1CEF/c+X34/zBrbG+tPJgsmXwEzEf0R9ZPB1cEyJIhDbYvHa/XSWXeVCmSgI+tuXbqhoWj0KJRdT2Hdtd/E8FVAob9+C12LZ+I7t9+jm+a18HBtVPBvLT8Th/1PY5smIHRAzqCczeb1KuCfaumYPH0nzFl2P/03F1CoRWT9XEtYH7MgY/FGW/pfu3TFkc3zsDiGYPQ4au6KFU0v2p3gq6fSoopL5X5VXOHgS83LZ4+CF1aN4DBYADn3LKPK+b8grIlCmLET+11Wfbxg7zZMWN0Tx0eo2TNrBiY6uOeNw/L1u4EFUi+9W9yVPL2HDzJLGFyn9Uqpx+1+wdZN5vUr4J1C0bpMfr5+69hmt8bpspCyFSmeAGsmTcch9dNQ7OG1cLV7zLFPtArQHDMBvZoBVrGNy0aC3LjGDWqXUH7GddC1c2X+P6a1A+r5w3DsllD8fUXtbRUtGRzDLiaxN9T+mPCkO+we8VEfKWOHR4/rG/DwtEoXbQAfur2lTru+mHsz52xYMpPWPvXCK345s+dBTwmyIc3GTxOeQxv/Gc0WDefQMTzjKP6VxuHVF9XzPlVHxNaALVJmiQR6tcsq3z2/0JqNzTZTTVxnHiMUj7bc4BWV74EyQ+jLFB9//G75qDsdHblbx76OdOodkVs/fc3cM48efupG9Q5/6zFJx+XNIkjeyEgBJyIgCi8TjRY0SeqtBweApxGQIXAM64H6HiRNhgMdqvgRZrpVEoNBoNWRC1fLGIhptFyRj8d/XTanyg+d+AjeLbLvC4uBn2hZxzr1hnUhuv98sKtvFZ/rIvKtVWkRYAyUmlgfWa/u5tuk+1ZZNUv11FxYb9N8ZTB5Ez1sC6WpfLPPcOsm7KbynH5qqs37+iX45ImSQBLx7fmqbSZ8r5tT8WtTPGC4AcsmJdtUkY6jhXj3texb+wDHftj6jP3TNNxbq76BsS2325uLvrFQ+ahbEynn2XNe3cjc8ZB/WMeKn9MV0HzH48DjgHTecPEtpnIfCxrqp/pfBGQe1pjmcZ8dDwmyIZ+k0uTMhk4PcQUZr2si/zoZ/yr197Ytf9EMGs800yO7YXUrq3st5TlmtZ3HgssnzZVcu701/IoIwOJg84B+umSJ00EykS/pbOVnzzYHvvA4459YJwlB56LTGM9C5dv0TesBXJnZVCcEBACTkbAxcnkFXGFgBCIJQSobIwb1AUhOU6hCA8KLvE2afZScG5reMpJ3rAROHvxul4vmPObDQZD2Aq9JdfPY+aAazsPHTcXPdo11jeQbykSKclcS3jB0o1o/1U9IFJakEqFgBCIbAKi8EY2YalfCAgBhyBAiyAfddtaLh1CuBggBF9e+7jcR+D0i4jqDlctafvlJ+BX9d72SeSIatNePbz5mvXbD9GmcNuTSeKEgBAIHwFReMPHKyy5JY8QEAIOSiBRgngOKpnzi8VH/bS6c0pHRPWGimb1isX1yggRVee71MNpDclkKbJ3QSdlhIDDEBCF12GGQgQRAkJACMQ0AtIfISAEhIBjEBCF1zHGQaQQAkJACAgBISAEhIAQiCQC0a7wRlK/pFohIASEgBAQAkJACAgBIaAJiMKrMchGCAgBIRDtBEQAISAEhIAQiCQCovBGElipVggIASEgBISAEBACQuBdCER8GVF4I56p1CgEhIAQEAJCQAgIASHgQARE4XWgwRBRhIAQCDsBySkEhIAQEAJCIKwEROENKynJJwSEgBAQAkJACAgBxyMgEoWBgCi8YYAkWYSAEBACQkAICAEhIAScl4AovM47diK5EAg7AckpBISAEBACQiAWExCFNxYPvnRdCAgBISAEhEBsIyD9jZ0EROGNneMuvRYCQkAICAEhIASEQKwhIApvrBlq6WjYCUhOISAEhIAQEAJCICYREIU3Jo2m9EUICAEhIASEQEQSkLqEQAwhIApvDBlI6YYQEAJCQAgIASEgBISAfQKi8NrnIrFhJyA5hYAQEAJCQAgIASHg0ARE4XXo4RHhhIAQEAJCwHkIiKRCQAg4KgFReB11ZEQuISAEhIAQEAJCQAgIgQghIApvhGAMeyWSUwgIASEgBISAEBACQiBqCYjCG7W8pTUhIASEgBAwEpCtEBACQiDKCIjCG2WopSEhIASEgBAQAkJACAiB6CDg2ApvdBCRNoWAEBACQkAICAEhIARiFAFReGPUcEpnhIAQiKkEpF9CQAgIASHw7gRE4X13dlJSCAgBISAEhIAQEAJCIGoJvFNrovC+EzYpJASEgBAQAkJACAgBIeAsBEThdZaREjmFgBAIOwHJKQSEgBAQAkLAgoAovBYwxCsEhIAQEAJCQAgIgZhEQPpiJCAKr5GDbIWAEBACQkAICAEhIARiKAFReGPowEq3hEDYCUhOISAEhIAQEAIxm4AovDF7fKV3QkAICAEhIASEQFgJSL4YS0AU3hg7tNIxISAEhIAQEAJCQAgIARIQhZcUxAmBsBOQnEJACAgBISAEhICTERCF18kGTMQVAkJACAgBIeAYBEQKIeA8BEThdZ6xEkmFgBAQAkJACAgBISAE3oGAKLzvAE2KhJ2A5BQCQkAICAEhIASEQHQT+D8AAAD//42gEecAAAAGSURBVAMAPZzShW722rQAAAAASUVORK5CYII="
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "\n",
    "# ── Statistical test: center-out value gradient ───────────────────────────────\n",
    "# distance = 1 for the cord immediately adjacent to ∑ (L1 / R1),\n",
    "#            n for the cord n steps away.\n",
    "# H₁: value fraction decreases as distance increases (Spearman ρ < 0).\n",
    "# Uses ALL equal sum instances (symmetric + asymmetric).\n",
    "\n",
    "dist_records = []\n",
    "\n",
    "for _, row in equal_rel.dropna(\n",
    "        subset=['left_handed_summand_string', 'right_handed_summand_string']).iterrows():\n",
    "    sv = float(row['sum_cord_value'])\n",
    "    if sv == 0:\n",
    "        continue\n",
    "\n",
    "    left_entries = parse_summand_entries(row['left_handed_summand_string'])\n",
    "    n_left = len(left_entries)\n",
    "    for j, (*_, val) in enumerate(left_entries):\n",
    "        dist_records.append({\n",
    "            'distance': n_left - j,\n",
    "            'value_frac': val / sv,\n",
    "            'fieldmark_name': row['fieldmark_name'],\n",
    "        })\n",
    "\n",
    "    right_entries = parse_summand_entries(row['right_handed_summand_string'])\n",
    "    for j, (*_, val) in enumerate(right_entries):\n",
    "        dist_records.append({\n",
    "            'distance': j + 1,\n",
    "            'value_frac': val / sv,\n",
    "            'fieldmark_name': row['fieldmark_name'],\n",
    "        })\n",
    "\n",
    "dist_df = pd.DataFrame(dist_records)\n",
    "\n",
    "# ── Spearman rank correlations ────────────────────────────────────────────────\n",
    "rows = []\n",
    "rho_all, p_all = stats.spearmanr(dist_df['distance'], dist_df['value_frac'])\n",
    "rows.append({'Type': 'All', 'ρ': rho_all, 'p': p_all, 'n': len(dist_df)})\n",
    "for fm, label in [('pendant_pendant_sum','PPS'),('colored_pendant_sum','CPS'),('indexed_pendant_sum','IPS')]:\n",
    "    sub = dist_df[dist_df['fieldmark_name'] == fm]\n",
    "    rho, p = stats.spearmanr(sub['distance'], sub['value_frac'])\n",
    "    rows.append({'Type': label, 'ρ': rho, 'p': p, 'n': len(sub)})\n",
    "\n",
    "result_df = pd.DataFrame(rows).set_index('Type')\n",
    "result_df['ρ']  = result_df['ρ'].map('{:.4f}'.format)\n",
    "result_df['p']  = result_df['p'].map('{:.2e}'.format)\n",
    "result_df['n']  = result_df['n'].map('{:,}'.format)\n",
    "display(result_df)\n",
    "\n",
    "# ── Mean / median value fraction by distance — line chart ────────────────────\n",
    "plot_df = (dist_df.groupby('distance')['value_frac']\n",
    "           .agg(Mean='mean', Median='median', N='count')\n",
    "           .reset_index()\n",
    "           .query('N >= 20'))\n",
    "\n",
    "fig = go.Figure()\n",
    "fig.add_trace(go.Scatter(x=plot_df['distance'], y=plot_df['Mean'],\n",
    "    mode='lines+markers', name='Mean',\n",
    "    line=dict(color='steelblue', width=2), marker=dict(size=6)))\n",
    "fig.add_trace(go.Scatter(x=plot_df['distance'], y=plot_df['Median'],\n",
    "    mode='lines+markers', name='Median',\n",
    "    line=dict(color='coral', width=2, dash='dot'), marker=dict(size=6)))\n",
    "fig.update_layout(\n",
    "    title=(f\"Value fraction by distance from ∑ — all types<br>\"\n",
    "           f\"<sup>Spearman ρ = {rho_all:.4f},  p = {p_all:.2e},  n = {len(dist_df):,} cords</sup>\"),\n",
    "    xaxis_title='Distance from ∑  (1 = immediately adjacent)',\n",
    "    yaxis_title='Value / sum cord',\n",
    "    template='plotly_white',\n",
    "    height=400,\n",
    "    font=dict(family=\"ETBookOT\")\n",
    ")\n",
    "fig.show()\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "0aba69de",
   "metadata": {},
   "source": [
    "### Interpretation\n",
    "\n",
    "#### A center-out value gradient\n",
    "\n",
    "The dominant feature of all four heatmaps is a **center-out gradient**: the\n",
    "positions immediately flanking ∑ (L1, R1) are consistently the darkest — highest\n",
    "value fraction — and intensity fades progressively toward the outer columns (L10,\n",
    "R10). The cord closest to the sum cord nearly always carries the largest individual\n",
    "share of the total; each step further out brings a smaller contribution.\n",
    "\n",
    "This pattern holds across run widths and across all three fieldmark conventions,\n",
    "and is most clearly visible in the consolidated chart where the gradient survives\n",
    "the mixing of PPS, CPS, and IPS instances. The Spearman rank correlation between\n",
    "distance from ∑ and value fraction across all 28,387 summed cords is\n",
    "**ρ = −0.64** (p ≈ 0), confirming the gradient is not a visual artifact: a\n",
    "monotone center-out ordering of cord magnitudes is the dominant structure in the\n",
    "data.\n",
    "\n",
    "#### A scribal methodology: salience ordering\n",
    "\n",
    "The gradient suggests a deliberate recording convention: **enter the most\n",
    "significant item first (adjacent to ∑), then proceed outward in descending order of\n",
    "magnitude**. This is a form of *salience ordering* — structuring a list by\n",
    "importance rather than, say, arrival sequence or physical position.\n",
    "\n",
    "It would be interesting to compare this suggested behavior with analogous accounting traditions.\n",
    "\n",
    "Under this reading, the asymmetric \"extra\" cord might be the final, smallest entry\n",
    "in a descending ledger column. Its low value relative to the sum cord is not a\n",
    "coincidence or an artifact of the fieldmark definition — it is the expected\n",
    "signature of a scribe who recorded systematically, from most to least significant.\n"
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    "## 7. Architecture: Summation Structure Taxonomy\n",
    "\n",
    "Two recurring structural archetypes for how Equal Sums are organized within a khipu have been\n",
    "identified by the scholars:\n",
    "\n",
    "| Archetype | Signature |\n",
    "|-----------|-----------|\n",
    "| **Pyramid** | Equal Sum cords cluster near the **physical midpoint** of the khipu; summand groups converge from both sides |\n",
    "| **Waterfall** | The top-level sum cord sits near **position 1** (the khipu start); a directed hierarchy descends from a grand total |\n",
    "\n",
    "Rather than treating these as **mutually exclusive** classes, each independent summation component\n",
    "receives a *set* of architecture labels — allowing Pyramid and Waterfall to coexist, and opening\n",
    "the door to additional patterns.\n",
    "\n",
    "Three **exploratory labels** extend the taxonomy:\n",
    "\n",
    "| Label | Detection rule |\n",
    "|-------|----------------|\n",
    "| **Apex** | Root cord near khipu *end* (> 74 %) — mirror image of Waterfall |\n",
    "| **Cascade** | Chain depth ≥ 3 regardless of position |\n",
    "| **Distributed** | Equal Sum cords span > 40 % of the khipu's physical length |\n",
    "\n",
    "The Waterfall, Pyramid, Apex, Cascade, and Distributed labels are exploratory, non-exclusive descriptors from a filtered KFG-scope analysis. They are included as referenced supporting material, not as a validated accounting taxonomy.\n",
    "\n",
    "**A note on connectivity.** The cord graph is built by linking every summand cord to its sum cord.\n",
    "When the same pendant cord participates in more than one fieldmark type (e.g. it is a summand in\n",
    "both a PPS and a CPS relation), those two relations land in the same weakly-connected component,\n",
    "inflating the apparent number of independent roots. A sixth candidate label — *Multi-root* (≥ 2\n",
    "root nodes per component) — turns out to affect 93 % of components for exactly this reason: it\n",
    "is a graph-connectivity artifact of overlapping fieldmarks rather than a distinct accounting\n",
    "pattern, so it is tracked in the statistics but not displayed as a separate architecture class.\n"
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      "Components: 198   Khipus: 194\n",
      "Multi-root (≥2 roots): 184 / 198 (93%)\n",
      "\n",
      "label\n",
      "Apex           139\n",
      "Cascade        147\n",
      "Distributed     79\n",
      "Pyramid        164\n",
      "Waterfall      153\n",
      "\n",
      "Top label combinations:\n",
      "labels\n",
      "(Apex, Cascade, Distributed, Pyramid, Waterfall)    51\n",
      "(Apex, Cascade, Pyramid, Waterfall)                 30\n",
      "(Cascade, Pyramid, Waterfall)                       15\n",
      "(Cascade, Distributed, Pyramid, Waterfall)          13\n",
      "(Apex, Cascade, Pyramid)                            11\n",
      "(Pyramid,)                                           9\n",
      "(Apex, Pyramid, Waterfall)                           8\n",
      "(Pyramid, Waterfall)                                 8\n",
      "(Cascade, Waterfall)                                 7\n",
      "(Apex, Distributed, Pyramid, Waterfall)              6\n"
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          227.7
         ],
         "showgrid": true,
         "title": {
          "text": "Components"
         }
        },
        "yaxis": {
         "title": {}
        }
       }
      },
      "image/png": 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           "#B6E880",
           "#FF97FF",
           "#FECB52"
          ],
          "font": {
           "color": "#2a3f5f"
          },
          "geo": {
           "bgcolor": "white",
           "lakecolor": "white",
           "landcolor": "white",
           "showlakes": true,
           "showland": true,
           "subunitcolor": "#C8D4E3"
          },
          "hoverlabel": {
           "align": "left"
          },
          "hovermode": "closest",
          "mapbox": {
           "style": "light"
          },
          "paper_bgcolor": "white",
          "plot_bgcolor": "white",
          "polar": {
           "angularaxis": {
            "gridcolor": "#EBF0F8",
            "linecolor": "#EBF0F8",
            "ticks": ""
           },
           "bgcolor": "white",
           "radialaxis": {
            "gridcolor": "#EBF0F8",
            "linecolor": "#EBF0F8",
            "ticks": ""
           }
          },
          "scene": {
           "xaxis": {
            "backgroundcolor": "white",
            "gridcolor": "#DFE8F3",
            "gridwidth": 2,
            "linecolor": "#EBF0F8",
            "showbackground": true,
            "ticks": "",
            "zerolinecolor": "#EBF0F8"
           },
           "yaxis": {
            "backgroundcolor": "white",
            "gridcolor": "#DFE8F3",
            "gridwidth": 2,
            "linecolor": "#EBF0F8",
            "showbackground": true,
            "ticks": "",
            "zerolinecolor": "#EBF0F8"
           },
           "zaxis": {
            "backgroundcolor": "white",
            "gridcolor": "#DFE8F3",
            "gridwidth": 2,
            "linecolor": "#EBF0F8",
            "showbackground": true,
            "ticks": "",
            "zerolinecolor": "#EBF0F8"
           }
          },
          "shapedefaults": {
           "line": {
            "color": "#2a3f5f"
           }
          },
          "ternary": {
           "aaxis": {
            "gridcolor": "#DFE8F3",
            "linecolor": "#A2B1C6",
            "ticks": ""
           },
           "baxis": {
            "gridcolor": "#DFE8F3",
            "linecolor": "#A2B1C6",
            "ticks": ""
           },
           "bgcolor": "white",
           "caxis": {
            "gridcolor": "#DFE8F3",
            "linecolor": "#A2B1C6",
            "ticks": ""
           }
          },
          "title": {
           "x": 0.05
          },
          "xaxis": {
           "automargin": true,
           "gridcolor": "#EBF0F8",
           "linecolor": "#EBF0F8",
           "ticks": "",
           "title": {
            "standoff": 15
           },
           "zerolinecolor": "#EBF0F8",
           "zerolinewidth": 2
          },
          "yaxis": {
           "automargin": true,
           "gridcolor": "#EBF0F8",
           "linecolor": "#EBF0F8",
           "ticks": "",
           "title": {
            "standoff": 15
           },
           "zerolinecolor": "#EBF0F8",
           "zerolinewidth": 2
          }
         }
        },
        "title": {
         "text": "3. Predominant architectural fingerprint<br><sup>Color = primary label  |  X = root cord position  |  Y = chain depth (jittered ±0.15)  |  Bubble size = number of equal sums in component</sup>"
        },
        "xaxis": {
         "title": {
          "text": "Root cord position  (0 = khipu start, 1 = end)"
         }
        },
        "yaxis": {
         "title": {
          "text": "Chain depth  (jittered)"
         }
        }
       }
      },
      "image/png": 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     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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       "config": {
        "plotlyServerURL": "https://plot.ly"
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       "data": [
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          },
          "colorscale": {
           "diverging": [
            [
             0,
             "#8e0152"
            ],
            [
             0.1,
             "#c51b7d"
            ],
            [
             0.2,
             "#de77ae"
            ],
            [
             0.3,
             "#f1b6da"
            ],
            [
             0.4,
             "#fde0ef"
            ],
            [
             0.5,
             "#f7f7f7"
            ],
            [
             0.6,
             "#e6f5d0"
            ],
            [
             0.7,
             "#b8e186"
            ],
            [
             0.8,
             "#7fbc41"
            ],
            [
             0.9,
             "#4d9221"
            ],
            [
             1,
             "#276419"
            ]
           ],
           "sequential": [
            [
             0,
             "#0d0887"
            ],
            [
             0.1111111111111111,
             "#46039f"
            ],
            [
             0.2222222222222222,
             "#7201a8"
            ],
            [
             0.3333333333333333,
             "#9c179e"
            ],
            [
             0.4444444444444444,
             "#bd3786"
            ],
            [
             0.5555555555555556,
             "#d8576b"
            ],
            [
             0.6666666666666666,
             "#ed7953"
            ],
            [
             0.7777777777777778,
             "#fb9f3a"
            ],
            [
             0.8888888888888888,
             "#fdca26"
            ],
            [
             1,
             "#f0f921"
            ]
           ],
           "sequentialminus": [
            [
             0,
             "#0d0887"
            ],
            [
             0.1111111111111111,
             "#46039f"
            ],
            [
             0.2222222222222222,
             "#7201a8"
            ],
            [
             0.3333333333333333,
             "#9c179e"
            ],
            [
             0.4444444444444444,
             "#bd3786"
            ],
            [
             0.5555555555555556,
             "#d8576b"
            ],
            [
             0.6666666666666666,
             "#ed7953"
            ],
            [
             0.7777777777777778,
             "#fb9f3a"
            ],
            [
             0.8888888888888888,
             "#fdca26"
            ],
            [
             1,
             "#f0f921"
            ]
           ]
          },
          "colorway": [
           "#636efa",
           "#EF553B",
           "#00cc96",
           "#ab63fa",
           "#FFA15A",
           "#19d3f3",
           "#FF6692",
           "#B6E880",
           "#FF97FF",
           "#FECB52"
          ],
          "font": {
           "color": "#2a3f5f"
          },
          "geo": {
           "bgcolor": "white",
           "lakecolor": "white",
           "landcolor": "white",
           "showlakes": true,
           "showland": true,
           "subunitcolor": "#C8D4E3"
          },
          "hoverlabel": {
           "align": "left"
          },
          "hovermode": "closest",
          "mapbox": {
           "style": "light"
          },
          "paper_bgcolor": "white",
          "plot_bgcolor": "white",
          "polar": {
           "angularaxis": {
            "gridcolor": "#EBF0F8",
            "linecolor": "#EBF0F8",
            "ticks": ""
           },
           "bgcolor": "white",
           "radialaxis": {
            "gridcolor": "#EBF0F8",
            "linecolor": "#EBF0F8",
            "ticks": ""
           }
          },
          "scene": {
           "xaxis": {
            "backgroundcolor": "white",
            "gridcolor": "#DFE8F3",
            "gridwidth": 2,
            "linecolor": "#EBF0F8",
            "showbackground": true,
            "ticks": "",
            "zerolinecolor": "#EBF0F8"
           },
           "yaxis": {
            "backgroundcolor": "white",
            "gridcolor": "#DFE8F3",
            "gridwidth": 2,
            "linecolor": "#EBF0F8",
            "showbackground": true,
            "ticks": "",
            "zerolinecolor": "#EBF0F8"
           },
           "zaxis": {
            "backgroundcolor": "white",
            "gridcolor": "#DFE8F3",
            "gridwidth": 2,
            "linecolor": "#EBF0F8",
            "showbackground": true,
            "ticks": "",
            "zerolinecolor": "#EBF0F8"
           }
          },
          "shapedefaults": {
           "line": {
            "color": "#2a3f5f"
           }
          },
          "ternary": {
           "aaxis": {
            "gridcolor": "#DFE8F3",
            "linecolor": "#A2B1C6",
            "ticks": ""
           },
           "baxis": {
            "gridcolor": "#DFE8F3",
            "linecolor": "#A2B1C6",
            "ticks": ""
           },
           "bgcolor": "white",
           "caxis": {
            "gridcolor": "#DFE8F3",
            "linecolor": "#A2B1C6",
            "ticks": ""
           }
          },
          "title": {
           "x": 0.05
          },
          "xaxis": {
           "automargin": true,
           "gridcolor": "#EBF0F8",
           "linecolor": "#EBF0F8",
           "ticks": "",
           "title": {
            "standoff": 15
           },
           "zerolinecolor": "#EBF0F8",
           "zerolinewidth": 2
          },
          "yaxis": {
           "automargin": true,
           "gridcolor": "#EBF0F8",
           "linecolor": "#EBF0F8",
           "ticks": "",
           "title": {
            "standoff": 15
           },
           "zerolinecolor": "#EBF0F8",
           "zerolinewidth": 2
          }
         }
        },
        "title": {
         "text": "4. Scale by architecture  (X = equal sums per component, Y = chain depth)"
        },
        "xaxis": {
         "title": {
          "text": "Equal Sums per component  (log scale)"
         },
         "type": "log"
        },
        "yaxis": {
         "title": {
          "text": "Chain depth  (jittered ±0.15)"
         }
        }
       }
      },
      "image/png": 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"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import re, ast\n",
    "import numpy as np\n",
    "import networkx as nx\n",
    "from plotly.subplots import make_subplots\n",
    "\n",
    "# ── Relation tables ───────────────────────────────────────────────────────────\n",
    "pps_rel = pd.read_csv(f\"{uloc.fieldmarks_data_dir()}/pendant_pendant_sum_relation.csv\")\n",
    "cps_rel = pd.read_csv(f\"{uloc.fieldmarks_data_dir()}/colored_pendant_sum_relation.csv\")\n",
    "ips_rel = pd.read_csv(f\"{uloc.fieldmarks_data_dir()}/indexed_pendant_sum_relation.csv\")\n",
    "all_sum_rel = pd.concat([pps_rel, cps_rel, ips_rel], ignore_index=True)\n",
    "\n",
    "arch_df       = equal_df[equal_df['num_equal_sums'] > 0].copy()\n",
    "equal_cord_map = equal_rel.groupby('kfg_name')['sum_cord_name'].apply(set).to_dict()\n",
    "\n",
    "def _cord_ord(name):\n",
    "    try:    return int(str(name).lstrip('p').split('s')[0].split('.')[0])\n",
    "    except: return 0\n",
    "\n",
    "def _parse_summand_idxs(s):\n",
    "    return [tuple(map(int, m)) for m in re.findall(r'\\[(\\d+),\\s*(\\d+)\\]', str(s))]\n",
    "\n",
    "# ── Multi-label taxonomy ──────────────────────────────────────────────────────\n",
    "# Labels are NON-EXCLUSIVE — a component may carry multiple simultaneously.\n",
    "#\n",
    "# Positional (primary):\n",
    "#   Waterfall   root cord near khipu start (< 25 %)\n",
    "#   Pyramid     ≥ 1 equal sum cord within ± 20 % of the physical midpoint\n",
    "#   Apex        root cord near khipu end (> 74 %) — mirror of Waterfall\n",
    "#\n",
    "# Structural (secondary, always co-occur with positional labels):\n",
    "#   Cascade     chain depth ≥ 3\n",
    "#   Distributed equal sum cords span > 40 % of khipu length\n",
    "#\n",
    "# Note: Multi-root (≥ 2 independent roots) is tracked in statistics but not\n",
    "# shown as a separate visual category — it is near-universal (93 %) and always\n",
    "# co-occurs with the positional labels above.\n",
    "\n",
    "LABELS = ['Waterfall', 'Pyramid', 'Apex', 'Cascade', 'Distributed']\n",
    "LABEL_PRIORITY = ['Waterfall', 'Pyramid', 'Apex', 'Cascade', 'Distributed', 'Unclassified']\n",
    "LABEL_COLORS = {\n",
    "    'Waterfall':    'coral',\n",
    "    'Pyramid':      'steelblue',\n",
    "    'Apex':         'seagreen',\n",
    "    'Cascade':      'darkorange',\n",
    "    'Distributed':  'mediumpurple',\n",
    "    'Unclassified': 'lightgrey',\n",
    "}\n",
    "\n",
    "def _classify(min_root, max_root, equal_norms, max_depth, n_roots):\n",
    "    ls = set()\n",
    "    if min_root  < 0.25:                              ls.add('Waterfall')\n",
    "    if any(abs(v - 0.5) < 0.20 for v in equal_norms): ls.add('Pyramid')\n",
    "    if max_root  > 0.74:                              ls.add('Apex')\n",
    "    if max_depth >= 3:                                ls.add('Cascade')\n",
    "    if len(equal_norms) >= 2 and (max(equal_norms) - min(equal_norms)) > 0.40:\n",
    "                                                      ls.add('Distributed')\n",
    "    has_multi_root = (n_roots >= 2)\n",
    "    return sorted(ls) if ls else ['Unclassified'], has_multi_root\n",
    "\n",
    "def _primary(labels):\n",
    "    for lb in LABEL_PRIORITY:\n",
    "        if lb in labels: return lb\n",
    "    return 'Unclassified'\n",
    "\n",
    "# ── Per-component feature extraction ─────────────────────────────────────────\n",
    "comp_records = []\n",
    "\n",
    "for _, arow in arch_df.iterrows():\n",
    "    kfg = arow['kfg_name']\n",
    "    n   = arow['num_pendant_cords']\n",
    "    grp = all_sum_rel[all_sum_rel.kfg_name == kfg]\n",
    "    if grp.empty:\n",
    "        continue\n",
    "\n",
    "    idx_name = {}\n",
    "    for _, r in grp.iterrows():\n",
    "        ci = tuple(ast.literal_eval(r['cord_index']))\n",
    "        idx_name[ci] = r['cord_name']\n",
    "    sum_ci_set = set(idx_name.keys())\n",
    "\n",
    "    G = nx.DiGraph()\n",
    "    for _, r in grp.iterrows():\n",
    "        ci = tuple(ast.literal_eval(r['cord_index']))\n",
    "        G.add_node(ci)\n",
    "        for s in _parse_summand_idxs(r['summand_string']):\n",
    "            G.add_edge(s, ci)\n",
    "\n",
    "    equal_cord_names = equal_cord_map.get(kfg, set())\n",
    "\n",
    "    for comp_nodes in nx.weakly_connected_components(G):\n",
    "        comp_sum_ci = comp_nodes & sum_ci_set\n",
    "        if not comp_sum_ci:\n",
    "            continue\n",
    "        comp_names   = {idx_name[ci] for ci in comp_sum_ci}\n",
    "        equal_in_comp = equal_cord_names & comp_names\n",
    "        if not equal_in_comp:\n",
    "            continue\n",
    "\n",
    "        subG = nx.DiGraph()\n",
    "        subG.add_nodes_from(comp_sum_ci)\n",
    "        for u in comp_sum_ci:\n",
    "            for v in G.successors(u):\n",
    "                if v in comp_sum_ci:\n",
    "                    subG.add_edge(u, v)\n",
    "\n",
    "        roots      = [nd for nd in comp_sum_ci if subG.out_degree(nd) == 0]\n",
    "        root_depth = {}\n",
    "        for root in roots:\n",
    "            anc = nx.ancestors(subG, root) | {root}\n",
    "            try:    root_depth[root] = len(nx.dag_longest_path(subG.subgraph(anc)))\n",
    "            except: root_depth[root] = 1\n",
    "\n",
    "        root_norms  = [_cord_ord(idx_name[r]) / n for r in roots if r in idx_name]\n",
    "        equal_norms_ = [_cord_ord(cn) / n for cn in equal_in_comp]\n",
    "        if not root_norms or not equal_norms_:\n",
    "            continue\n",
    "\n",
    "        max_depth_  = max(root_depth.values())\n",
    "        min_root_   = min(root_norms)\n",
    "        max_root_   = max(root_norms)\n",
    "        equal_spread = max(equal_norms_) - min(equal_norms_) if len(equal_norms_) >= 2 else 0.0\n",
    "\n",
    "        arch_labels, has_mr = _classify(min_root_, max_root_, equal_norms_, max_depth_, len(roots))\n",
    "        comp_records.append(dict(\n",
    "            kfg_name       = kfg,\n",
    "            labels         = arch_labels,\n",
    "            primary        = _primary(arch_labels),\n",
    "            n_labels       = len(arch_labels),\n",
    "            has_multi_root = has_mr,\n",
    "            min_root       = min_root_,\n",
    "            max_root       = max_root_,\n",
    "            equal_spread    = equal_spread,\n",
    "            depth          = max_depth_,\n",
    "            n_sums         = len(comp_sum_ci),\n",
    "            n_equals        = len(equal_in_comp),\n",
    "            num_pendants   = n,\n",
    "        ))\n",
    "\n",
    "comp_df  = pd.DataFrame(comp_records)\n",
    "label_df = comp_df.explode('labels').rename(columns={'labels': 'label'}).reset_index(drop=True)\n",
    "n_comp   = len(comp_df)\n",
    "n_khipu  = comp_df['kfg_name'].nunique()\n",
    "\n",
    "print(f\"Components: {n_comp}   Khipus: {n_khipu}\")\n",
    "print(f\"Multi-root (≥2 roots): {comp_df['has_multi_root'].sum()} / {n_comp} \"\n",
    "      f\"({100*comp_df['has_multi_root'].mean():.0f}%)\")\n",
    "print()\n",
    "print(label_df.groupby('label').size().rename('count').to_string())\n",
    "print(\"\\nTop label combinations:\")\n",
    "print(comp_df['labels'].apply(tuple).value_counts().head(10).to_string())\n",
    "\n",
    "# ── Chart 1 – Prevalence lollipop ────────────────────────────────────────────\n",
    "# Each label shown once; bar length = component count; dot color = label color.\n",
    "# Annotated with both raw count and % of all components (labels are non-exclusive).\n",
    "lc = label_df.groupby('label').size().reset_index(name='n')\n",
    "lc['pct'] = lc['n'] / n_comp * 100\n",
    "lc = lc.sort_values('n')          # ascending so largest is at top in horizontal layout\n",
    "lc['color'] = lc['label'].map(LABEL_COLORS)\n",
    "\n",
    "fig1 = go.Figure()\n",
    "# Stems (lines from 0 to count)\n",
    "for _, row_ in lc.iterrows():\n",
    "    fig1.add_shape(\n",
    "        type='line',\n",
    "        x0=0, x1=row_['n'],\n",
    "        y0=row_['label'], y1=row_['label'],\n",
    "        line=dict(color=row_['color'], width=3),\n",
    "    )\n",
    "# Dots and labels\n",
    "fig1.add_trace(go.Scatter(\n",
    "    x=lc['n'], y=lc['label'],\n",
    "    mode='markers+text',\n",
    "    marker=dict(color=lc['color'], size=16,\n",
    "                line=dict(width=1.5, color='white')),\n",
    "    text=[f\"  {int(r['n'])}  ({r['pct']:.0f}%)\" for _, r in lc.iterrows()],\n",
    "    textposition='middle right',\n",
    "    hovertemplate='<b>%{y}</b><br>%{x} components<extra></extra>',\n",
    "    showlegend=False,\n",
    "))\n",
    "fig1.update_layout(\n",
    "    title_text=(\n",
    "        f'1. Architecture prevalence — {n_comp} components, {n_khipu} khipus<br>'\n",
    "        f'<sup>Labels are non-exclusive; one component may carry several simultaneously</sup>'\n",
    "    ),\n",
    "    xaxis=dict(title='Components', range=[0, n_comp * 1.15], showgrid=True, gridcolor='#eee'),\n",
    "    yaxis=dict(title=None),\n",
    "    template='plotly_white', height=300, margin=dict(l=100, r=20),\n",
    "    font=dict(family=\"ETBookOT\")\n",
    ")\n",
    "fig1.show()\n",
    "\n",
    "# ── Chart 2 – Co-occurrence matrix ───────────────────────────────────────────\n",
    "n_lb   = len(LABELS)\n",
    "co_mat = np.zeros((n_lb, n_lb), dtype=int)\n",
    "for _, r in comp_df.iterrows():\n",
    "    ls = set(r['labels'])\n",
    "    for i, a in enumerate(LABELS):\n",
    "        if a in ls:\n",
    "            for j, b in enumerate(LABELS):\n",
    "                if b in ls:\n",
    "                    co_mat[i, j] += 1\n",
    "\n",
    "fig2 = go.Figure(go.Heatmap(\n",
    "    z=co_mat, x=LABELS, y=LABELS,\n",
    "    colorscale='Blues',\n",
    "    text=co_mat, texttemplate='%{text}',\n",
    "    hoverongaps=False,\n",
    "    colorbar=dict(title='# comp.', thickness=14),\n",
    "))\n",
    "fig2.update_layout(\n",
    "    title_text='2. Architecture co-occurrence  (diagonal = total count per label)',\n",
    "    yaxis=dict(autorange='reversed'),\n",
    "    template='plotly_white', height=360,\n",
    "    font=dict(family=\"ETBookOT\")\n",
    ")\n",
    "fig2.show()\n",
    "\n",
    "# ── Chart 3 – Architectural fingerprint scatter ───────────────────────────────\n",
    "# X = min root cord position, Y = chain depth (jittered), size = # equal sums.\n",
    "# Color = primary label (Waterfall > Pyramid > Apex > Cascade > Distributed).\n",
    "rng        = np.random.default_rng(42)\n",
    "jitter     = rng.uniform(-0.15, 0.15, len(comp_df))\n",
    "scatter_df = comp_df.reset_index(drop=True)\n",
    "fig3       = go.Figure()\n",
    "for lb in LABEL_PRIORITY:\n",
    "    sub = scatter_df[scatter_df['primary'] == lb]\n",
    "    if sub.empty:\n",
    "        continue\n",
    "    idx = sub.index\n",
    "    fig3.add_trace(go.Scatter(\n",
    "        x=sub['min_root'].values,\n",
    "        y=sub['depth'].values + jitter[idx],\n",
    "        mode='markers',\n",
    "        name=lb,\n",
    "        marker=dict(\n",
    "            color=LABEL_COLORS[lb],\n",
    "            size=np.clip(sub['n_equals'].values * 2, 5, 22),\n",
    "            opacity=0.65,\n",
    "            line=dict(width=0.5, color='white'),\n",
    "        ),\n",
    "        hovertemplate=(\n",
    "            '%{customdata}<br>'\n",
    "            'root: %{x:.2f}  depth: %{y:.1f}<extra>' + lb + '</extra>'\n",
    "        ),\n",
    "        customdata=sub['kfg_name'].values,\n",
    "    ))\n",
    "fig3.add_vline(x=0.20, line_dash='dot', line_color='grey', opacity=0.5,\n",
    "               annotation_text='WF threshold', annotation_position='top right')\n",
    "fig3.add_vline(x=0.75, line_dash='dot', line_color='grey', opacity=0.5,\n",
    "               annotation_text='Apex threshold', annotation_position='top left')\n",
    "fig3.add_hline(y=2, line_dash='dot', line_color='grey', opacity=0.4)\n",
    "fig3.add_hline(y=3, line_dash='dot', line_color='grey', opacity=0.4)\n",
    "fig3.update_layout(\n",
    "    title_text=(\n",
    "        '3. Predominant architectural fingerprint<br>'\n",
    "        '<sup>Color = primary label  |  X = root cord position  |  '\n",
    "        'Y = chain depth (jittered ±0.15)  |  Bubble size = number of equal sums in component</sup>'\n",
    "    ),\n",
    "    xaxis_title='Root cord position  (0 = khipu start, 1 = end)',\n",
    "    yaxis_title='Chain depth  (jittered)',\n",
    "    template='plotly_white', height=440,\n",
    "    legend_title='Primary label',\n",
    "    font=dict(family=\"ETBookOT\"))\n",
    "fig3.show()\n",
    "\n",
    "# ── Chart 4 – Scale by architecture ──────────────────────────────────────────\n",
    "fig4 = go.Figure()\n",
    "rng2     = np.random.default_rng(99)\n",
    "jitter_y = rng2.uniform(-0.15, 0.15, len(comp_df))\n",
    "jitter_x = rng2.uniform(-0.5,  0.5,  len(comp_df))\n",
    "for lb in LABEL_PRIORITY:\n",
    "    sub = comp_df[comp_df['primary'] == lb]\n",
    "    if sub.empty:\n",
    "        continue\n",
    "    idx = sub.index\n",
    "    fig4.add_trace(go.Scatter(\n",
    "        x=sub['n_equals'].values + jitter_x[idx],\n",
    "        y=sub['depth'].values  + jitter_y[idx],\n",
    "        mode='markers',\n",
    "        name=lb,\n",
    "        marker=dict(color=LABEL_COLORS[lb], size=8, opacity=0.7,\n",
    "                    line=dict(width=0.5, color='white')),\n",
    "        hovertemplate='%{customdata}<br>equal sums: %{x:.1f}  depth: %{y:.1f}<extra>' + lb + '</extra>',\n",
    "        customdata=sub['kfg_name'].values,\n",
    "    ))\n",
    "fig4.update_layout(\n",
    "    title_text='4. Scale by architecture  (X = equal sums per component, Y = chain depth)',\n",
    "    xaxis_title='Equal Sums per component  (log scale)',\n",
    "    yaxis_title='Chain depth  (jittered ±0.15)',\n",
    "    xaxis_type='log',\n",
    "    template='plotly_white', height=420,\n",
    "    legend_title='Primary label',\n",
    "    font=dict(family=\"ETBookOT\")\n",
    ")\n",
    "fig4.show()\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "63471638",
   "metadata": {},
   "source": [
    "### Interpretation\n",
    "\n",
    "**Coverage.** 196 components across 191 khipus (5 khipus carry 2+ independent sum components).\n",
    "All components are classified — the five-label taxonomy is exhaustive at the thresholds adopted\n",
    "(Waterfall < 25 %, Apex > 74 %).\n",
    "\n",
    "**Multi-label is the norm.**  The most common single combination carries **all five labels** (50 components).\n",
    "Multi-root alone accounts for 93 % of components (183/196), confirming that the typical Equal Sum\n",
    "structure contains multiple top-level accounting entries whose underlying summand cords overlap —\n",
    "i.e., the weakly-connected component in the cord graph spans several simultaneous summation\n",
    "hierarchies rather than a single root.\n",
    "\n",
    "**Primary positional patterns.** Pyramid (165) and Waterfall (153) are the most common\n",
    "*positional* labels. They co-occur in 133 of 165 Pyramid components (81 %), showing that a khipu\n",
    "which organizes Equal Sums around its midpoint almost always *also* opens with a directed\n",
    "grand-total chain. The two canonical archetypes are not alternatives — they are facets of the same\n",
    "structure.\n",
    "\n",
    "**Cascade (145, 74 %) co-occurs tightly with Waterfall (124/153 = 81 %).** Deep chains (depth ≥ 3)\n",
    "almost always originate early in the khipu. This confirms that hierarchical depth is a feature of\n",
    "the Waterfall pattern, not an independent mode.\n",
    "\n",
    "**Apex (136, 69 %) is an artifact of Multi-root breadth.** Because most components have many root\n",
    "nodes spanning the full cord run, the *maximum* root position routinely exceeds 0.74 — even when\n",
    "the dominant structure is a Waterfall anchored near position 0. Apex as defined here signals\n",
    "breadth rather than a dedicated \"end-anchored\" accounting pattern. A tighter definition\n",
    "(`min_root > 0.74`) would isolate genuinely terminal structures and is worth exploring.\n",
    "\n",
    "**Distributed (79, 40 %).** Four in ten components have Equal Sum cords spread across more than\n",
    "40 % of the khipu's physical length. Combined with the Multi-root finding, this suggests a\n",
    "possible ledger-like spatial organization where accounting entries are distributed throughout the cord run\n",
    "rather than clustered at a single location.\n",
    "\n",
    "**Fingerprint scatter (Chart 3).** Waterfall dominates as the primary label (coral), concentrated\n",
    "tightly at root position < 0.25 with chain depths ranging from 2 to 14. The handful of Pyramid\n",
    "and Apex primaries are broader across X, reflecting their non-anchored character.\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "865b217c",
   "metadata": {},
   "source": [
    "### Architecture: Information-Flow Schematics\n",
    "\n",
    "One schematic per label showing how values flow through the Equal Sum cord network.\n",
    "The **grey bar** at the top is a position ruler (left = khipu start, right = end).\n",
    "\n",
    "| Symbol | Meaning |\n",
    "|--------|---------|\n",
    "| Large colored circle **∑** | Equal Sum cord (root ∑ = top of hierarchy) |\n",
    "| Small blue circle | Summand cord (leaf — no children in this component) |\n",
    "| Grey circle | Other pendant cord (context only) |\n",
    "| **Arrow** | Summation flow — tail cord contributes its value to head cord |\n",
    "\n",
    "*Y-axis represents accounting depth, not physical cord length.*\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "id": "68524998",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Use the book-style ETBembo font (MIT-licensed ET Book, installed locally) for the Section 7 schematics.\n",
    "import plotly.graph_objects as go\n",
    "import plotly.io as pio\n",
    "\n",
    "pio.templates['etbembo'] = go.layout.Template(\n",
    "    layout=go.Layout(font=dict(family='ETBembo, Georgia, serif')),\n",
    ")\n",
    "pio.templates.default = 'etbembo'"
   ]
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"
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     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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        "plotlyServerURL": "https://plot.ly"
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       "data": [
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           }
          },
          "shapedefaults": {
           "line": {
            "color": "#2a3f5f"
           }
          },
          "ternary": {
           "aaxis": {
            "gridcolor": "#DFE8F3",
            "linecolor": "#A2B1C6",
            "ticks": ""
           },
           "baxis": {
            "gridcolor": "#DFE8F3",
            "linecolor": "#A2B1C6",
            "ticks": ""
           },
           "bgcolor": "white",
           "caxis": {
            "gridcolor": "#DFE8F3",
            "linecolor": "#A2B1C6",
            "ticks": ""
           }
          },
          "title": {
           "x": 0.05
          },
          "xaxis": {
           "automargin": true,
           "gridcolor": "#EBF0F8",
           "linecolor": "#EBF0F8",
           "ticks": "",
           "title": {
            "standoff": 15
           },
           "zerolinecolor": "#EBF0F8",
           "zerolinewidth": 2
          },
          "yaxis": {
           "automargin": true,
           "gridcolor": "#EBF0F8",
           "linecolor": "#EBF0F8",
           "ticks": "",
           "title": {
            "standoff": 15
           },
           "zerolinecolor": "#EBF0F8",
           "zerolinewidth": 2
          }
         }
        },
        "title": {
         "text": "<b style=\"color:#e0852f\">Cascade</b>  —  Chain depth ≥ 3 — a ∑ cord is itself a summand of a higher ∑"
        },
        "xaxis": {
         "range": [
          -0.19999999999999996,
          12.8
         ],
         "showgrid": false,
         "showticklabels": false,
         "zeroline": false
        },
        "yaxis": {
         "range": [
          -2.9,
          2
         ],
         "showgrid": false,
         "showticklabels": false,
         "zeroline": false
        }
       }
      },
      "image/png": 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           "bgcolor": "white",
           "lakecolor": "white",
           "landcolor": "white",
           "showlakes": true,
           "showland": true,
           "subunitcolor": "#C8D4E3"
          },
          "hoverlabel": {
           "align": "left"
          },
          "hovermode": "closest",
          "mapbox": {
           "style": "light"
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          "plot_bgcolor": "white",
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            "gridcolor": "#EBF0F8",
            "linecolor": "#EBF0F8",
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           },
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            "gridwidth": 2,
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           },
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            "gridwidth": 2,
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           },
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           }
          },
          "shapedefaults": {
           "line": {
            "color": "#2a3f5f"
           }
          },
          "ternary": {
           "aaxis": {
            "gridcolor": "#DFE8F3",
            "linecolor": "#A2B1C6",
            "ticks": ""
           },
           "baxis": {
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            "linecolor": "#A2B1C6",
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           },
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           "caxis": {
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            "linecolor": "#A2B1C6",
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          },
          "title": {
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          },
          "xaxis": {
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           "gridcolor": "#EBF0F8",
           "linecolor": "#EBF0F8",
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           },
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          },
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            "standoff": 15
           },
           "zerolinecolor": "#EBF0F8",
           "zerolinewidth": 2
          }
         }
        },
        "title": {
         "text": "<b style=\"color:#8e63b5\">Distributed</b>  —  Equal Sum-∑ cords spread across > 40 % of khipu length"
        },
        "xaxis": {
         "range": [
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"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "\n",
    "# ── §7 Architecture schematics — one information-flow diagram per label ────────\n",
    "import plotly.graph_objects as go\n",
    "\n",
    "_ARCH_COL = {\n",
    "    'Waterfall':   '#e87060',\n",
    "    'Pyramid':     '#4c8ccd',\n",
    "    'Apex':        '#3da35d',\n",
    "    'Cascade':     '#e0852f',\n",
    "    'Distributed': '#8e63b5',\n",
    "}\n",
    "\n",
    "# ── Per-label khipu counts and example codes ──────────────────────────────────\n",
    "# Count  = all khipus that carry the label (non-exclusive).\n",
    "# Examples = khipus whose *primary* label is this one — guarantees distinct codes\n",
    "#            across schematics. Falls back to any unselected khipu for that label\n",
    "#            if there are fewer than 3 primary-only khipus.\n",
    "_used_examples: set = set()\n",
    "_ARCH_STATS = {}\n",
    "for _lb in ['Waterfall', 'Pyramid', 'Apex', 'Cascade', 'Distributed']:\n",
    "    _total   = int(label_df[label_df['label'] == _lb]['kfg_name'].nunique())\n",
    "    _primary = list(comp_df[comp_df['primary'] == _lb]['kfg_name'].unique())\n",
    "    _fallback = [k for k in label_df[label_df['label'] == _lb]['kfg_name'].unique()\n",
    "                 if k not in _used_examples]\n",
    "    _picks = []\n",
    "    for _k in _primary + _fallback:\n",
    "        if _k not in _used_examples:\n",
    "            _picks.append(_k)\n",
    "            _used_examples.add(_k)\n",
    "        if len(_picks) == 3:\n",
    "            break\n",
    "    _ARCH_STATS[_lb] = {'n': _total, 'examples': _picks}\n",
    "\n",
    "\n",
    "def _arch_fig(label, subtitle, desc, nodes, arrows, xr, extra_ann=None):\n",
    "    \"\"\"\n",
    "    nodes      : [(x, y, role)]         role ∈ 'bg'/'summand'/'sum'/'root'\n",
    "    arrows     : [(x0, y0, x1, y1)]     FROM (x0,y0) → TO (x1,y1)\n",
    "    xr         : (xmin, xmax) for spine ruler\n",
    "    extra_ann  : optional list of (x, y, text) label annotations\n",
    "    \"\"\"\n",
    "    col   = _ARCH_COL[label]\n",
    "    stats = _ARCH_STATS.get(label, {})\n",
    "    n_kh  = stats.get('n', None)\n",
    "    exs   = stats.get('examples', [])\n",
    "\n",
    "    ROLE = {\n",
    "        'bg':      dict(color='#d4d4d4', size=11),\n",
    "        'summand': dict(color='#6baed6', size=14),\n",
    "        'sum':     dict(color=col,       size=20),\n",
    "        'root':    dict(color=col,       size=24),\n",
    "    }\n",
    "    fig = go.Figure()\n",
    "\n",
    "    # ── spine position ruler ──────────────────────────────────────────────────\n",
    "    fig.add_shape(type='rect', x0=xr[0]-.3, x1=xr[1]+.3, y0=1.50, y1=1.70,\n",
    "                  fillcolor='#ebebeb', line_width=0, layer='below')\n",
    "    for px, txt, anchor in [(xr[0]-.2, '← start', 'left'),\n",
    "                             (xr[1]+.2, 'end →',   'right')]:\n",
    "        fig.add_annotation(x=px, y=1.60, text=txt, showarrow=False,\n",
    "                           font=dict(size=8, color='#aaa'), xanchor=anchor)\n",
    "\n",
    "    # ── arrows (drawn before nodes so nodes render on top) ───────────────────\n",
    "    for x0, y0, x1, y1 in arrows:\n",
    "        fig.add_annotation(\n",
    "            x=x1, y=y1,\n",
    "            ax=x0, ay=y0,\n",
    "            xref='x', yref='y', axref='x', ayref='y',\n",
    "            showarrow=True, text='',\n",
    "            arrowhead=2, arrowwidth=1.5, arrowcolor='#888', arrowsize=0.9)\n",
    "\n",
    "    # ── cord nodes ────────────────────────────────────────────────────────────\n",
    "    for role_key in ('bg', 'summand', 'sum', 'root'):\n",
    "        pts = [(x, y) for x, y, r in nodes if r == role_key]\n",
    "        if not pts:\n",
    "            continue\n",
    "        xs, ys = zip(*pts)\n",
    "        r = ROLE[role_key]\n",
    "        fig.add_trace(go.Scatter(\n",
    "            x=list(xs), y=list(ys), mode='markers',\n",
    "            marker=dict(color=r['color'], size=r['size'],\n",
    "                        line=dict(width=2, color='white')),\n",
    "            showlegend=False, hoverinfo='skip'))\n",
    "\n",
    "    # ── ∑ glyph inside sum / root circles ────────────────────────────────────\n",
    "    for x, y, role in nodes:\n",
    "        if role in ('sum', 'root'):\n",
    "            fig.add_annotation(x=x, y=y, text='∑', showarrow=False,\n",
    "                               font=dict(size=10, color='white'),\n",
    "                               xanchor='center', yanchor='middle')\n",
    "\n",
    "    # ── description text ─────────────────────────────────────────────────────\n",
    "    fig.add_annotation(\n",
    "        x=(xr[0] + xr[1]) / 2, y=-2.0,\n",
    "        text=desc, showarrow=False, align='center',\n",
    "        font=dict(size=10.5, color='#333'),\n",
    "        xanchor='center', yanchor='top')\n",
    "\n",
    "    # ── khipu count + examples banner ────────────────────────────────────────\n",
    "    if n_kh is not None:\n",
    "        ex_str = '  ·  '.join(exs) if exs else '—'\n",
    "        banner = (f'<b style=\"color:{col}\">{n_kh} khipus</b>'\n",
    "                  f'  &nbsp;|&nbsp;  e.g.&nbsp; {ex_str}')\n",
    "        fig.add_annotation(\n",
    "            x=(xr[0] + xr[1]) / 2, y=-2.42,\n",
    "            text=banner, showarrow=False, align='center',\n",
    "            font=dict(size=10, color='#555'),\n",
    "            xanchor='center', yanchor='top')\n",
    "\n",
    "    # ── optional extra annotations ───────────────────────────────────────────\n",
    "    if extra_ann:\n",
    "        for x, y, txt in extra_ann:\n",
    "            fig.add_annotation(x=x, y=y, text=txt, showarrow=False,\n",
    "                               font=dict(size=9, color='#444'),\n",
    "                               xanchor='left', yanchor='middle')\n",
    "\n",
    "    fig.update_layout(\n",
    "        title_text=f'<b style=\"color:{col}\">{label}</b>  —  {subtitle}',\n",
    "        xaxis=dict(range=[xr[0]-1.2, xr[1]+1.8],\n",
    "                   showticklabels=False, showgrid=False, zeroline=False),\n",
    "        yaxis=dict(range=[-2.9, 2.0],\n",
    "                   showticklabels=False, showgrid=False, zeroline=False),\n",
    "        template='plotly_white', height=360,\n",
    "        margin=dict(t=45, b=10, l=20, r=20),\n",
    "        plot_bgcolor='white')\n",
    "    return fig\n",
    "\n",
    "\n",
    "# ── 1. Waterfall ──────────────────────────────────────────────────────────────\n",
    "_arch_fig(\n",
    "    'Waterfall',\n",
    "    'Grand total anchored at khipu start',\n",
    "    'The root ∑ sits near position 0.  Local pendant cords aggregate into two sub-totals,<br>'\n",
    "    'which then cascade <b>leftward</b> into the grand total at the khipu\\'s opening.',\n",
    "    nodes=[\n",
    "        (1.0,  0.6, 'root'),\n",
    "        (4.0,  0.0, 'sum'),  (8.5,  0.0, 'sum'),\n",
    "        (2.5, -0.8, 'summand'), (3.2, -0.8, 'summand'),\n",
    "        (4.8, -0.8, 'summand'), (5.5, -0.8, 'summand'),\n",
    "        (7.0, -0.8, 'summand'), (7.8, -0.8, 'summand'),\n",
    "        (9.2, -0.8, 'summand'), (10.0,-0.8, 'summand'),\n",
    "        (0.3,  0.0, 'bg'), (11.0, 0.0, 'bg'), (11.5,-0.8, 'bg'),\n",
    "    ],\n",
    "    arrows=[\n",
    "        (2.5,-0.8,4.0,0.0),  (3.2,-0.8,4.0,0.0),\n",
    "        (4.8,-0.8,4.0,0.0),  (5.5,-0.8,4.0,0.0),\n",
    "        (7.0,-0.8,8.5,0.0),  (7.8,-0.8,8.5,0.0),\n",
    "        (9.2,-0.8,8.5,0.0),  (10.0,-0.8,8.5,0.0),\n",
    "        (4.0, 0.0,1.0,0.6),  (8.5, 0.0,1.0,0.6),\n",
    "    ],\n",
    "    xr=(1, 11.5),\n",
    ").update_layout(font=dict(family=\"ETBookOT\")).show()\n",
    "\n",
    "\n",
    "# ── 2. Pyramid ────────────────────────────────────────────────────────────────\n",
    "_arch_fig(\n",
    "    'Pyramid',\n",
    "    '∑ cord at the physical midpoint — summands converge from both sides',\n",
    "    'The Equal Sum cord is near the khipu\\'s center.  The left run <i>and</i> the right run<br>'\n",
    "    'each form an independent sequence of summands, both resolving to exactly ∑.',\n",
    "    nodes=[\n",
    "        (6.0,  0.5, 'sum'),\n",
    "        (3.0, -0.5, 'summand'), (4.0, -0.5, 'summand'), (5.0, -0.5, 'summand'),\n",
    "        (7.0, -0.5, 'summand'), (8.0, -0.5, 'summand'), (9.0, -0.5, 'summand'),\n",
    "        (1.0,  0.0, 'bg'), (2.0, 0.0, 'bg'), (10.0, 0.0, 'bg'), (11.0, 0.0, 'bg'),\n",
    "    ],\n",
    "    arrows=[\n",
    "        (3.0,-0.5,6.0,0.5), (4.0,-0.5,6.0,0.5), (5.0,-0.5,6.0,0.5),\n",
    "        (7.0,-0.5,6.0,0.5), (8.0,-0.5,6.0,0.5), (9.0,-0.5,6.0,0.5),\n",
    "    ],\n",
    "    xr=(1, 11),\n",
    ").update_layout(font=dict(family=\"ETBookOT\")).show()\n",
    "\n",
    "\n",
    "# ── 3. Apex ───────────────────────────────────────────────────────────────────\n",
    "_arch_fig(\n",
    "    'Apex',\n",
    "    'Grand total anchored at khipu end — mirror of Waterfall',\n",
    "    'The root ∑ sits near position 1 (khipu end).  Sub-totals at earlier positions<br>'\n",
    "    'aggregate their local neighbours, then cascade <b>rightward</b> into the closing grand total.',\n",
    "    nodes=[\n",
    "        (11.5,  0.6, 'root'),\n",
    "        (4.0,   0.0, 'sum'),  (8.5,  0.0, 'sum'),\n",
    "        (2.5,  -0.8, 'summand'), (3.2, -0.8, 'summand'),\n",
    "        (4.8,  -0.8, 'summand'), (5.5, -0.8, 'summand'),\n",
    "        (7.0,  -0.8, 'summand'), (7.8, -0.8, 'summand'),\n",
    "        (9.2,  -0.8, 'summand'), (10.0,-0.8, 'summand'),\n",
    "        (1.0,   0.0, 'bg'), (12.2, 0.0, 'bg'),\n",
    "    ],\n",
    "    arrows=[\n",
    "        (2.5,-0.8,4.0,0.0),  (3.2,-0.8,4.0,0.0),\n",
    "        (4.8,-0.8,4.0,0.0),  (5.5,-0.8,4.0,0.0),\n",
    "        (7.0,-0.8,8.5,0.0),  (7.8,-0.8,8.5,0.0),\n",
    "        (9.2,-0.8,8.5,0.0),  (10.0,-0.8,8.5,0.0),\n",
    "        (4.0, 0.0,11.5,0.6), (8.5, 0.0,11.5,0.6),\n",
    "    ],\n",
    "    xr=(1, 12),\n",
    ").update_layout(font=dict(family=\"ETBookOT\")).show()\n",
    "\n",
    "\n",
    "# ── 4. Cascade ────────────────────────────────────────────────────────────────\n",
    "_arch_fig(\n",
    "    'Cascade',\n",
    "    'Chain depth ≥ 3 — a ∑ cord is itself a summand of a higher ∑',\n",
    "    'Three levels of summation chain: leaves → ∑₁ → ∑₂ → ∑₃ (root).<br>'\n",
    "    'Each ∑ also has its own local pendant summands (blue, flanking).',\n",
    "    nodes=[\n",
    "        (6.0,  1.0, 'root'),   # ∑₃  (level 3 — root)\n",
    "        (6.0,  0.0, 'sum'),    # ∑₂  (level 2)\n",
    "        (6.0, -0.9, 'sum'),    # ∑₁  (level 1)\n",
    "        (4.0, -1.5, 'summand'), (8.0, -1.5, 'summand'),  # leaves of ∑₁\n",
    "        (3.8, -0.4, 'summand'), (8.2, -0.4, 'summand'),  # extra summands of ∑₂\n",
    "        (3.8,  0.6, 'summand'), (8.2,  0.6, 'summand'),  # extra summands of ∑₃\n",
    "        (1.5,  0.0, 'bg'), (10.5, 0.0, 'bg'),\n",
    "    ],\n",
    "    arrows=[\n",
    "        (4.0,-1.5,6.0,-0.9), (8.0,-1.5,6.0,-0.9),   # leaves → ∑₁\n",
    "        (3.8,-0.4,6.0, 0.0), (8.2,-0.4,6.0, 0.0),   # extras → ∑₂\n",
    "        (6.0,-0.9,6.0, 0.0),                           # ∑₁ → ∑₂\n",
    "        (3.8, 0.6,6.0, 1.0), (8.2, 0.6,6.0, 1.0),   # extras → ∑₃\n",
    "        (6.0, 0.0,6.0, 1.0),                           # ∑₂ → ∑₃\n",
    "    ],\n",
    "    xr=(1, 11),\n",
    "    extra_ann=[\n",
    "        (6.6, -0.9, '∑₁  (depth 1)'),\n",
    "        (6.6,  0.0, '∑₂  (depth 2)'),\n",
    "        (6.6,  1.0, '∑₃  (root, depth 3)'),\n",
    "    ],\n",
    ").update_layout(font=dict(family=\"ETBookOT\")).show()\n",
    "\n",
    "\n",
    "# ── 5. Distributed ────────────────────────────────────────────────────────────\n",
    "_arch_fig(\n",
    "    'Distributed',\n",
    "    'Equal Sum-∑ cords spread across > 40 % of khipu length',\n",
    "    'Four independent ∑ cords — each with its own local summand group — are<br>'\n",
    "    'dispersed across the full cord run: a distributed ledger rather than a single aggregation point.',\n",
    "    nodes=[\n",
    "        (1.5,  0.0, 'sum'), (5.5, 0.0, 'sum'), (9.5, 0.0, 'sum'), (13.5, 0.0, 'sum'),\n",
    "        (0.5, -0.8, 'summand'), (1.1, -0.8, 'summand'),\n",
    "        (1.9, -0.8, 'summand'), (2.5, -0.8, 'summand'),\n",
    "        (4.5, -0.8, 'summand'), (5.1, -0.8, 'summand'),\n",
    "        (5.9, -0.8, 'summand'), (6.5, -0.8, 'summand'),\n",
    "        (8.5, -0.8, 'summand'), (9.1, -0.8, 'summand'),\n",
    "        (9.9, -0.8, 'summand'),(10.5, -0.8, 'summand'),\n",
    "        (12.5,-0.8, 'summand'),(13.1, -0.8, 'summand'),\n",
    "        (13.9,-0.8, 'summand'),(14.5, -0.8, 'summand'),\n",
    "        (3.5,  0.0, 'bg'), (7.5, 0.0, 'bg'), (11.5, 0.0, 'bg'),\n",
    "    ],\n",
    "    arrows=[\n",
    "        (0.5,-0.8,1.5,0.0), (1.1,-0.8,1.5,0.0),\n",
    "        (1.9,-0.8,1.5,0.0), (2.5,-0.8,1.5,0.0),\n",
    "        (4.5,-0.8,5.5,0.0), (5.1,-0.8,5.5,0.0),\n",
    "        (5.9,-0.8,5.5,0.0), (6.5,-0.8,5.5,0.0),\n",
    "        (8.5,-0.8,9.5,0.0), (9.1,-0.8,9.5,0.0),\n",
    "        (9.9,-0.8,9.5,0.0),(10.5,-0.8,9.5,0.0),\n",
    "        (12.5,-0.8,13.5,0.0),(13.1,-0.8,13.5,0.0),\n",
    "        (13.9,-0.8,13.5,0.0),(14.5,-0.8,13.5,0.0),\n",
    "    ],\n",
    "    xr=(1, 14.5),\n",
    ").update_layout(font=dict(family=\"ETBookOT\")).show()\n"
   ]
  }
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