{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "039c499c",
   "metadata": {},
   "source": [
    "# Mapping Movements: Proximity\n",
    "\n",
    "This notebook is part of the pressure cooker for _Mapping movements: exploring the structure, vision and transformative potential of collections of movements for justice and sustainability_ of the Utrecht University Copernicus Institute, and Creative Coding Utrecht.\n",
    "\n",
    "This notebook documents an exploration to rethink \"distance\" for maps of social movements, or initiatives. In the maps researched by the project, distance is often presented as geographical distance, and rendered by the placement of entries on a skewed world map (often using Mercator projection, which preserves angle, not distance). The experiment here however is interested in finding new links between entries by deploying an of-the-shelf text embedding model known as _doc2vec_. Possibly revealing new categorisations and clusters.\n",
    "\n",
    "Many thanks to the exploration of Doc2Vec done by [Marton Trencseni](https://bytepawn.com/similar-posts-recommendation-with-doc2vec.html), on which many of these aproaches are based."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "af8da066",
   "metadata": {},
   "source": [
    "Contents: \n",
    "\n",
    "- [Embedding the text](#embedding)\n",
    "- [Similar initiatives](#similar)\n",
    "- [Find Clusters](#clusters)\n",
    "- [Alternative Maps: Rendering Embedding Space](#rendering)\n",
    "- [A situated map](#map)\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "aaac4f97",
   "metadata": {},
   "source": [
    "## 1. Embedding the text <a id=\"embedding\"></a>\n",
    "\n",
    "In this first step, the descriptions of the initiatives are embedded using Doc2Vec. That is to say, in a series of steps the text of the descriptions is transformed  into a vector, a point in a (latent) multidimensional space: an embedding."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "45d0504f-8bd2-46e0-83d1-2a3b0753ed98",
   "metadata": {},
   "outputs": [],
   "source": [
    "# some requirements to load for this project\n",
    "\n",
    "import csv\n",
    "from gensim.models.doc2vec import Doc2Vec, TaggedDocument\n",
    "import nltk\n",
    "from nltk.tokenize import word_tokenize\n",
    "import numpy as np\n",
    "\n",
    "import pandas as pd\n",
    "import networkx as nx\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "from scipy.cluster.vq import kmeans,vq\n",
    "from collections import defaultdict\n",
    "\n",
    "from sklearn.decomposition import PCA\n",
    "from sklearn.manifold import TSNE"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "50b9a342-d32b-4595-97df-b63b427397d1",
   "metadata": {},
   "source": [
    "Then read the entries from CSV, this is an export of the spreadsheet prepred by other participants to the pressure cooker."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "bf608f39-7984-4154-b2c0-bd2dc614cbab",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Fields: ['Title', 'Organisation', 'Location', 'Location - geographic', '', 'Category', 'Year', 'Website', 'Text', 'Population size']\n",
      "41 initiatives\n"
     ]
    }
   ],
   "source": [
    "with open('initiatives.csv') as fp:\n",
    "    initiatives = csv.DictReader(fp)\n",
    "    print(\"Fields:\", initiatives.fieldnames)\n",
    "    initiatives = [i for i in initiatives]\n",
    "print(f\"{len(initiatives)} initiatives\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "3509fe59-bda2-4d3b-96dc-2b9a98b108f7",
   "metadata": {},
   "source": [
    "Then nltk's (a toolkit for natural language processing) \"punkt\" is used to parse inititatives into tokenized dict. Tokenization basically cuts the text into separate words and characters, a preparatory step before embedding."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "31e2fe51-b6f2-4d93-81af-413f7ba8cc7c",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "[nltk_data] Downloading package punkt to /home/ruben/nltk_data...\n",
      "[nltk_data]   Package punkt is already up-to-date!\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "True"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Punkt is required:\n",
    "nltk.download('punkt')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "0628801e",
   "metadata": {},
   "source": [
    "Make `tagged_initiatives` a dict indexed by the document's ID (row in the csv), which contains a \"TaggedDocument\" of the initiatives' descriptions"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "9a6dd962-c17d-4cbb-9b11-d3e8ff2e8103",
   "metadata": {},
   "outputs": [],
   "source": [
    "tagged_initiatives = {idx : TaggedDocument(word_tokenize(f\"{initiative['Title']} {initiative['Text']}\"), [idx]) for idx, initiative in enumerate(initiatives)}"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "20573321-cea2-4004-b5c2-8337f5b04532",
   "metadata": {},
   "source": [
    "This is then used to create the _doc2vec_ model, using a vector_size of 20 dimensions (we only have a small set of text, thus a small dimensionality should still give plenty of variety)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "8e86ebe5-3290-447c-836f-565f8ed53654",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Created a Doc2Vec model with 41 entries, and a total of 17278 words.\n"
     ]
    }
   ],
   "source": [
    "model = Doc2Vec(tagged_initiatives.values(), vector_size=20, alpha=0.025, min_count=1, workers=16, epochs=100)\n",
    "\n",
    "print(f\"Created a Doc2Vec model with {model.corpus_count} entries, and a total of {model.corpus_total_words} words.\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2e6b9b9d",
   "metadata": {},
   "source": [
    "## 2. Similar initiatives  <a id=\"similar\"></a>\n",
    "\n",
    "Now that we have a Doc2Vec model, we can use it to calculate some sort of similarity score between the initiative in our little dataset which is based on a mathematical similarity of words ocuring in their descriptions. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "6e5531dd-b238-4f99-857d-75117556b59c",
   "metadata": {},
   "outputs": [],
   "source": [
    "def similar_initiatives(which: int, n: int = 3) -> [tuple[int, str, float]]:\n",
    "    \"\"\"Based on the given index, return the `n` most similar inititives.\n",
    "    Returns a list of tuples: (idx, title, similarity)\n",
    "    \"\"\"\n",
    "    if n == 'all':\n",
    "        return model.dv.most_similar(positive=[model.infer_vector(tagged_initiatives[which][0])], topn=None)\n",
    "    results = model.dv.most_similar(positive=[model.infer_vector(tagged_initiatives[which][0])], topn=n+1)\n",
    "    results = [(idx, initiatives[idx]['Title'], score) for idx, score in results if idx != tagged_initiatives[which][1][0]]\n",
    "    return results[:n]"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "48c7cd7d",
   "metadata": {},
   "source": [
    "For example, we can now find similar initiatives to the first entry of our spreadsheet:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "eef6cd37-d421-4c98-a638-f409d6c3403c",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Initiatives similar to 'Keep water in public hands!'.\n",
      "- 'Observatorio del Agua de Terrassa ensures a democratic governance of water' (#24), has a similarity score of 0.6271640658378601\n",
      "- '‘Our Water Our Right’ campaign mobilization against water privatisation' (#16), has a similarity score of 0.5450633764266968\n",
      "- 'Million Wells Bengaluru' (#11), has a similarity score of 0.538072943687439\n",
      "- 'Agua Para Todos tackles water privatization and the impact of climate change' (#12), has a similarity score of 0.5187795162200928\n",
      "- 'Citizen participation and solidarity tariffs in remunicipalized water utility' (#35), has a similarity score of 0.4846048057079315\n"
     ]
    }
   ],
   "source": [
    "idx = 0\n",
    "print(f\"Initiatives similar to '{initiatives[idx]['Title']}'.\")\n",
    "for idx, title, score in similar_initiatives(idx, 5):\n",
    "    print(f\"- '{title}' (#{idx}), has a similarity score of {score}\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7c42f659",
   "metadata": {},
   "source": [
    "These seem to make sense, as they're all about water. But it will be hard to digest for all 41 initiatives. "
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2f7d6725-a245-45fe-8f14-2d8ff7ef3cda",
   "metadata": {},
   "source": [
    "### Similarity matrix\n",
    "\n",
    "A similarity matrix visualises all similarities in a 2D matrix. I.e. a dark red means a score of 1, that is, completely similar. A white square means total dissimilarity.\n",
    "\n",
    "As the matrix plots entries against itself, the diagonal is 1."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "989e5e0e-8230-4881-bf4a-25fc7f6e3de4",
   "metadata": {},
   "outputs": [
    {
     "data": {
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",
      "text/plain": [
       "<Figure size 640x480 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "\n",
    "def plot_matrix(m):\n",
    "    plt.imshow(m, cmap='YlOrRd', interpolation='nearest')\n",
    "    plt.colorbar()\n",
    "    plt.show()\n",
    "    \n",
    "similarity_matrix = [similar_initiatives(idx, n='all') for idx in tagged_initiatives]\n",
    "plot_matrix(similarity_matrix)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b6f1d9b7",
   "metadata": {},
   "source": [
    "While this plot renders all data, it is a bit hard to process. So, how can we understand these similarities, and how can we use it to find new aliances?"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "562d4340-e4b0-4366-a917-ba91056c8ced",
   "metadata": {},
   "source": [
    "## 3. Find clusters  <a id=\"clusters\"></a>"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6f68a1c0",
   "metadata": {},
   "source": [
    "### k-means\n",
    "\n",
    "A common aproach to clustering entries is the kmeans algorithm. This algorithm starts by picking `k` random points, and iteratively moving these as to find `k` number of distinct clusters."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "65e0b155-08c6-4f73-a031-d300a0e9ce6f",
   "metadata": {},
   "outputs": [],
   "source": [
    "number_of_clusters = 7"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "9f109275-7aae-40b2-8c91-c469e26b07dd",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "Cluster: 0\n",
      "- 100% renewable energy for Gaza\n",
      "- The municipality of Burgas pioneers energy efficient housing in Bulgaria\n",
      "- EnergÉtica Cooperative challenges energy poverty by supplying clean energy\n",
      "- The Cloughjordan Ecovillage models the transition to a low-carbon society\n",
      "- PENGON empowers Palestinian women as sustainable energy leaders\n",
      "- Earthworker Cooperative\n",
      "- Power Shift supports farmers with clean energy\n",
      "\n",
      "Cluster: 1\n",
      "- Keep water in public hands!\n",
      "- Million Wells Bengaluru\n",
      "- Agua Para Todos tackles water privatization and the impact of climate change\n",
      "- ‘Our Water Our Right’ campaign mobilization against water privatisation\n",
      "- Observatorio del Agua de Terrassa ensures a democratic governance of water\n",
      "- Eau de Paris delivers cheaper, cleaner water\n",
      "- Citizen participation and solidarity tariffs in remunicipalized water utility\n",
      "- Refusing to Give Up: Civil Society’s Movement against Water Privatization in Jakarta\n",
      "\n",
      "Cluster: 2\n",
      "- The Jackson Just Transition Plan is transforming Jackson into a city of equity, solidarity and mutual aid\n",
      "- Citizen's Initiative Referendum against forced demolitions of social housing\n",
      "- People power drives social and ecological transition\n",
      "\n",
      "Cluster: 3\n",
      "- Penca de Sábila Corporation improves the lives of rural farmers and connects them with urban communities\n",
      "- Maison d’Éducation à l’Alimentation Durable supplies the community with organic food and educates future generations\n",
      "\n",
      "Cluster: 4\n",
      "- Building the movement for agroecological urban gardening to ensure food sovereignty\n",
      "- Women for Food Sovereignty in Cochabamba\n",
      "- Linking urban consumers to rural producers\n",
      "- Bronx Cooperative Development Initiative\n",
      "- Cargonomia Community Cargobike and Local Food Distribution Center\n",
      "\n",
      "Cluster: 5\n",
      "- Valencia walks towards the future: the cycling revolution in Valencia\n",
      "- Rainwater harvesting in Mexico City’s marginalized neighborhoods\n",
      "- Entrepatios Madrid\n",
      "- Social, cultural, and economic empowerment in Bukit Duri Urban Kampung reconstruction\n",
      "- No Bicycle, No Planet\n",
      "- Relocation of road construction project affected slum dwellers\n",
      "- Integrated social reconstruction homes in Isthmus of Tehuantepec\n",
      "- Waste management innovation for food security and climate change mitigation\n",
      "- Community-led response to water pollution crisis\n",
      "- Women Workers Association builds tens of thousands of homes\n",
      "- Dispossessed community finances and builds affordable homes\n",
      "\n",
      "Cluster: 6\n",
      "- CaSanAT is a micro-utopia serving as a space for exchange, learning and resistance\n",
      "- Barcelona Energia\n",
      "- Energy transition built on democracy, renewables and jobs\n",
      "- Barcelona en Comú\n",
      "- Transforming a century-old, oil company town\n"
     ]
    }
   ],
   "source": [
    "vectors = [model.dv[i] for i in range(41)]\n",
    "centroids, _ = kmeans(vectors, number_of_clusters)\n",
    "\n",
    "# computes cluster Id for document vectors\n",
    "doc_ids,_ = vq(vectors,centroids)\n",
    "\n",
    "clusters = defaultdict(list)\n",
    "for initiative, cluster_id in zip(initiatives, doc_ids):\n",
    "    clusters[cluster_id].append(initiative)\n",
    "\n",
    "cluster_ids = sorted(list(clusters.keys()))\n",
    "\n",
    "for cluster_id in cluster_ids:\n",
    "    print('\\nCluster:', cluster_id)\n",
    "    for i in clusters[cluster_id]:\n",
    "        print(f\"- {i['Title']}\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f2014a13",
   "metadata": {},
   "source": [
    "While this is certainly a good first stab at clustering (i.e. the first cluster contains some water projects but also other entries and cluster 3 has projects on Palestinia & Gaza), it's major disadvantage is that one needs to specify a specific `k` number of clusters. Thus, it doesn't start from the data."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6558ed13-6d43-4229-845e-ac515fafb1d8",
   "metadata": {},
   "source": [
    "### Truncated similiarity "
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c48d8d18",
   "metadata": {},
   "source": [
    "Another way to find aliances would be not to directly use the embeddings to calculate clusters, but to start from the calculated similarities.\n",
    "\n",
    "A first step in that could be to treshhold the similarity matrix and link up those that are above the given threshold. This limits the number of matches between entries. A disadvantage of this approach becomes apparent in the network graph: the clusters that emerge are very uneven. In our case most items are in a single cluster, while some entries have _no_ matches. Increasing the threshold creates even more singular items, decreasing it merges everything into one web, which pretty much beats the purpose."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "19348a01",
   "metadata": {},
   "outputs": [],
   "source": [
    "threshold = .55"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "443ae02f-60d6-4716-b8d6-5f9253660b1e",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "similarity_matrix_truncated = [[y if y > threshold else 0 for y in x] for x in similarity_matrix]\n",
    "for i in range(len(similarity_matrix_truncated)):\n",
    "    similarity_matrix_truncated[i][i] = 0\n",
    "plot_matrix(similarity_matrix_truncated)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "6a175908-e8c1-4b3b-b10d-cc1889a1e69d",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1500x1500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "def plot_graph(m):\n",
    "    labels = list(range(len(m)))\n",
    "    df = pd.DataFrame(m, index=labels, columns=labels)\n",
    "    G = nx.from_pandas_adjacency(df)\n",
    "    plt.figure(figsize=(15, 15))\n",
    "    nx.draw_networkx(G, nx.spring_layout(G), node_size=0, arrows=False, edge_color='lightgray', font_size=8)\n",
    "    plt.show()\n",
    "\n",
    "plot_graph(similarity_matrix_truncated)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "8d7a0663",
   "metadata": {},
   "source": [
    "### Similarity top-n\n",
    "\n",
    "Another approach, suggested by Trensceni in his blog-post, is to no simply truncate the similarity matrix, but to build a web by finding the `n` most similar entries for each initiative and using these as links. Then the linked-up entries act as clusters.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "3fbeb2e7",
   "metadata": {},
   "outputs": [],
   "source": [
    "# another approach, to avoid singletons:\n",
    "# for each initiative, get the top n=3 most similar\n",
    "def similarity_matrix_top_n(n=3):\n",
    "    m = np.zeros((len(initiatives), len(initiatives)))\n",
    "    for idx, initiative in enumerate(initiatives):\n",
    "        sp = similar_initiatives(idx, n)\n",
    "        idxs = [p[0] for p in sp]\n",
    "        # idxs = [tagged_initiatives[p[0]][1][0] for p in sp]\n",
    "        for k, j in enumerate(idxs):\n",
    "            m[idx][j] = 1 #sp[k][2]\n",
    "    return m"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "59e23d03",
   "metadata": {},
   "source": [
    "\n",
    "The question then is, which `n` should be used. In our case, when starting with $n=3$ all initiatives still merge into one giant cluster, the same happens with $n=2$. With $n=1$ however, clusters emerge. Some only of 2 items (each having the other as most similar entry). Yet some linking more items together."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "ad7deef9-0b81-4b44-ab10-044756782982",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1500x1500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 640x480 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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      "text/plain": [
       "<Figure size 1500x1500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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nBxYnJ54AAABKVKlU0tXVlY6Ojhw8eDCDg4MZGRlJf39/+vv709AwPw8ZP378eI4fP57169eLTsC8E54AAABqqKGhIf39/enu7s7g4GAGBwdz8ODBrFq1Kt3d3TWPQQcOHEhra2s6Ojpq+nkAHsv8JHYAAIAlrlqtZs2aNdm8eXOWLVuW3bt3Z9u2bTly5EjNPufx48dz7NixrFixwmknoBTCEwAAwDxqbm7OunXrsnHjxjQ2NuaRRx7JwMBAxsfHT/vnGhwcTHNzs129QGmEJwAAgBK0t7fn7LPPzvr16zM5OZlt27Zl165dmZqaOi0ff3x8PEeOHHHaCSiVHU8AAAAlqVQq6ezsnFtAfuDAgZMWkDc2Nj7ljz04OJimpqZ0d3efvoEBniThCQAAoGSVSiV9fX1zC8iHhobmFpD39PQ86RNLExMTGRkZyZo1a5x2AkolPAEAACwQjY2NWb16dXp7e7N///7s2bMnw8PDWbVqVTo6Ok45Ig0NDaVaraanp6fGEwP8bHY8AQAALDAnFpA/4xnPSLVazY4dOzIwMJCxsbEn/GsnJydz+PDh9PX1paHBj3xAuXwXAgAAWKDa2tqyYcOGnHXWWZmens727duzc+fOTE5O5lWvelXOPffcbNmyJRdccEHuu+++JMm9996bt771rXnpS1+a888/P9///vdL/iqApaxSFEXxRG8aHR1NV1dXRkZGPIYTAACgBEVR5NChQ9m/f39mZ2dTrVazadOmNDY25rbbbsv73//+/NM//VNe+tKX5s1vfnP+1//1f81nPvOZ/NEf/VHuvffesscHFplTbUVOPAEAANSBSqWS3t7enHPOOenv78/09HR+/OMfZ3h4OIcPH06lUsmPfvSjfP/738+VV16ZJPm1X/u17Ny5M9u2bSt5emCpslwcAACgjjQ2NmbVqlXp7e3Nv/7X/zr33HNPKpVKPvOZz+QHP/hBVq9endbW1iQ/jVXr16/Pjh07smnTppInB5YiJ54AAADqUFNTUz7zmc/k4Ycfzu/93u/lve99byqVioXiwILiOxIAAEAda2try7ve9a7ce++9WbVqVfbt25fp6ekkP90LtWPHjqxfv77kKYGlSngCAACoM4cPH86ePXvmfn377bent7c3vb29eeELX5hPf/rTSZLPfvazWbt2rdvsgNLY8QQAAFBnRkZGcumll2ZsbCwNDQ1ZsWJFbr755iTJf/2v/zXveMc7cs0116SzszM33HBDydMCS1mlKIriid50qo/IAwAAoBzHjh3Lww8/nM2bN6elpaXscYBF7lRbkVvtAAAAFoFq9ac3tExNTZU8CcD/R3gCAABYBE6Ep5mZmZInAfj/CE8AAACLQENDQyqVytwT7QAWAuEJAABgEahUKqlWq8ITsKAITwAAAIuE8AQsNMITAADAIiE8AQuN8AQAALBICE/AQiM8AQAALBLCE7DQCE8AAACLxInwVBRF2aMAJBGeAAAAFo1qtZqiKDI7O1v2KABJhCcAAIBFo1qtJonb7YAFQ3gCAABYJIQnYKERngAAABYJ4QlYaIQnAACARaKhoSGVSkV4AhYM4QkAAGCRqFQqc0+2A1gIhCcAAIBFRHgCFhLhCQAAYBERnoCFRHgCAABYRIQnYCERngAAABYR4QlYSIQnAACAReREeCqKouxRAIQnAACAxaRaraYoiszOzpY9CoDwBAAAsJhUq9UkcbsdsCAITwAAAIuI8AQsJMITAADAIiI8AQuJ8AQAALCINDQ0pFKpCE/AgiA8AQAALCKVSiWNjY3CE7AgCE8AAACLTFNTk/AELAjCEwAAwCJTrVaFJ2BBEJ4AAAAWGbfaAQuF8AQAALDIOPEELBTCEwAAwCJzIjwVRVH2KMASJzwBAAAsMk1NTSmKIrOzs2WPAixxwhMAAMAi09jYmCRutwNKJzwBAAAsMtVqNYnwBJRPeAIAAFhkhCdgoRCeAAAAFpnGxsZUKhXhCSid8AQAALDIVCqVNDY2Ck9A6YQnAACAReZv/uZvcumll+blL395tm7dmgceeKDskYAlqlr2AAAAAJw+hw4dylve8pbcdNNNeeYzn5kdO3bkLW95S773ve+VPRqwBDnxBAAAsIhs3749fX19ec5znpPp6elccMEF2bFjR7797W+XPRqwBAlPAAAAi8jmzZszPDyc++67L9PT07njjjty5MiRDAwMlD0asAS51Q4AAGAR6erqymc+85n8h//wHzIyMpKXv/zlec5znpNq1Y9/wPyrFEVRPNGbRkdH09XVlZGRkXR2ds7HXAAAADwNU1NTefDBB9PT05PnPe95uffee7Np06ayxwIWiVNtRW61AwAAWGT27t2bpqam9Pb25j/+x/+Yl7/85aITUApnLQEAABaZP/iDP8g3vvGNTE9P5znPeU7+8A//sOyRgCVKeAIAAFhkPvnJT87954MHD2bPnj05fvx42tvbS5wKWIrcagcAALCI9fT0pLW1NXv37s0prPgFOK2EJwAAgEWsUqlkzZo1GRsby+HDh8seB1hihCcAAIBFbtmyZenq6sq+ffsyMzNT9jjAEiI8AQAALAGrV69OURQ5cOBA2aMAS4jwBAAAsAQ0NTVlxYoVGR4ezvj4eNnjAEuE8AQAALBE9PX1pbm52aJxYN4ITwAAAEtEQ0NDVq9enWPHjuXIkSNljwMsAcITAADAEtLR0ZHly5dn7969mZ2dLXscYJETngAAAJaQSqWSNWvWZHp6OkNDQ2WPAyxywhMAAMAS09LSkr6+vgwODmZycrLscYBFTHgCAABYglasWJHGxsbs37+/7FGARUx4AgAAWIIaGxuzatWqjIyM5NixY2WPAyxSwhMAAMAS1d3dnba2tuzduzdFUZQ9DrAICU8AAABL1IlF4+Pj4zl48GDZ4wCLkPAEAACwhLW3t6e7uzsHDhzI9PR02eMAi4zwBAAAsMStXr06RVHkwIEDZY8CLDLCEwAAwBJXrVazcuXKHDx4MGNjY2WPAywiwhMAAADp6+tLS0uLRePAaSU8AQAAMLdo/Pjx4xkdHS17HGCREJ4AAABIkixfvjwdHR3Zu3dvZmdnyx4HWASEJwAAAOasWbMmMzMzGRwcLHsUYBEQngAAAJjT3Nyc/v7+7N69O7/6q7+ac845J+edd14uuuiibNu2rezxgDojPAEAAHCSFStWpLGxMa9//evz4IMP5oEHHsgll1ySyy+/vOzRgDojPAEAAHCShoaGbNiwIS960Yty9OjRJMnWrVszMDBQ7mBA3RGeAAAAeJTOzs60t7dn3759KYoiH/7wh3PJJZeUPRZQZ6plDwAAAMDCU6lUsmbNmjz00EN5//vfn23btuWuu+4qeyygzghPAAAAPKa2trZ8/vOfzxe+8IXceeedaW9vL3skoM4ITwAAADym6667LrfcckvuvPPOdHd3lz0OUIcqRVEUT/Sm0dHRdHV1ZWRkJJ2dnfMxFwAAACXatWtX1q1bl40bN6ajoyNJ0tLSkm9+85slTwYsBKfaipx4AgAA4FHWrl2bUzinAPAzeaodAAAAADUhPAEAAABQE8ITAAAAADUhPAEAAABQE8ITAAAAADUhPAEAAABQE8ITAAAAADUhPAEAAABQE8ITAAAAADUhPAEAAABQE8ITAAAAADUhPAEAAABQE8ITAAAAADUhPAEAAABQE8ITAAAAADUhPAEAAABQE8ITAAAAADUhPAEAAABQE8ITAAAAADUhPAEAAABQE9WyBwAAAACWjvHx8bzpTW/KD37wg7S1tWXlypX5kz/5k2zatCkvfvGLMzExkSSZnp7O97///TzwwAM599xzS56ap8qJJwAAAGBeXXHFFXnwwQfzwAMP5JJLLsnll1+eJPnmN7+Z+++/P/fff3/e//7353nPe57oVOeEJwAAAGDetLa25uKLL06lUkmSbN26NQMDA4963/XXX593vOMd8zwdp5vwBAAAAJTmwx/+cC655JKTXtu5c2e+9rWv5a1vfWtJU3G62PEEAAAAlOKaa67Jtm3b8uUvfznDw8Pp6elJQ0ND/uzP/iyvfe1r09/fX/aIPE1OPAEAAADz7tprr82tt96aL33pS5mYmMjevXszPT2doihyww03uM1ukRCeAAAAgHl13XXX5aabbsqXv/zldHZ2ZnBwMN3d3Wlubs5XvvKVTE9P56KLLip7TE4D4QkWkKuuuiobNmxIpVLJ/fffP/f6F7/4xbzwhS/Mli1b8rznPS+f+tSnyhsSAADgadi1a1fe9a535fDhw3nFK16R8847L7/+678+d1vd9ddfn9/8zd9MQ4NksRhUiqIonuhNo6Oj6erqysjISDo7O+djLliSvv71r2fjxo152ctelttvvz1btmxJURTp6+vLV7/61Zx77rkZGBjIs571rAwODqajo6PskQEAAJ6yoijyk5/8JK2trVm/fn3Z4/AknGorslwcFpALL7zwMV+vVCo5fPhwkp/+w93X15eWlpZ5nAwAAOD0Gx0dzeTkZNauXVv2KNSI8AQLXKVSyc0335zXv/71WbZsWQ4dOpRbb701zc3NZY8GAADwlBVFkcHBwSxbtizt7e1lj0ONuGESFrjp6elcffXVufXWW/PII4/krrvuym/8xm9kaGio7NEAAACesqNHj2Z8fDwrVqwoexRqSHiCBe5LX/pSduzYMXcb3vnnn5+1a9fmvvvuK3kyAACAp25wcDBtbW1ZtmxZ2aNQQ8ITLHBnnHFGDhw4kB/+8IdJkm3btmX79u155jOfWfJkAAAAT82xY8dy/PjxrFixIpVKpexxqCE7nmABufLKK/OFL3wh+/bty6tf/ep0dHTk61//ej7wgQ/k13/919PQ0JDZ2dl87GMf88QHAACgbg0ODqalpcWTupeASlEUxRO96VQfkQecfgcOHMjw8HCe/exnlz0KAADA0zY2Npbt27dn7dq16e7uLnscnqJTbUVutYMFrqmpKTMzM5mdnS17FAAAgKdtcHAwzc3N6erqKnsU5oHwBAtctfrTO2Knp6dLngQAAODpmZiYyOjoaPr7++12WiKEJ1jgmpqakghPAABA/RscHEy1WnWL3RIiPMECd+LE09TUVMmTAAAAPHWTk5M5fPhw+vv709AgRywV/puGBa6xsTGVSsWJJwAAoK4NDQ2lsbExPT09ZY/CPBKeYIGrVCqpVqvCEwAAULemp6dz6NCh9PX1pbGxsexxmEfCE9SBarXqVjsAAKBuDQ0NpVKppK+vr+xRmGfCE9SBpqYmJ54AAIC6NDMzk4MHD6a3t9dppyVIeII64FY7AACgXg0PD6coCqedlijhCeqAW+0AAIB6NDs7m+Hh4fT09KSpqanscSiB8AT/zA033JBKpZLbb7+97FFO0tTUlJmZmczOzpY9CgAAwCk7dOhQZmZm0t/fX/YolER4gv+/gYGBfPKTn8zWrVvLHuVRqtVqkrjdDgAAqBuzs7MZHBxMd3d3mpubyx6HkghPkJ9+Q7z88svz0Y9+NC0tLWWP8yjCEwAAUG9GRkYyPT3ttNMSJzxBkuuuuy4vfelL88IXvrDsUR7TiXuhhScAAKAeFEWRwcHBdHZ2prW1texxKFG17AGgbN/73vfy2c9+Nl//+tezf//+jI+PL7hF3iceObrQ5gIAAHgso6OjmZyczNq1a8sehZIJTyx53/jGNzIwMJDNmzdndnY2+/fvzzvf+c5s3749//v//r/PRZ8yVSqVNDU1OfEEAAAsKK961auyb9++NDQ0pKOjIx/5yEeyZcuWfPazn82HPvShVCqVtLe35+Mf/3jOO++8sselBJWiKIonetPo6Gi6uroyMjKSzs7O+ZgLSvPyl788l112Wc4///w0NDRk1apV6enpSaVSKXWu7du3p6WlxZ8YAAAAC8bhw4fT3d2dJLntttvy/ve/P3/913+dc889N1/+8pdz/vnn5xvf+EZ+67d+K9/73vfKHZbT6lRbkR1P8Bi6u7tzzjnnpKOjI3v27Mm2bdty9OjRUmeqVqtOPAEAAAvKieiU/HSZeKVSybe//e309PTkRS96UZLkggsuyI4dO/Ltb3+7pCkpk1vt4F/46le/Ovef165dm97e3uzbty8DAwPp6OjI6tWrS3nyXVNTU44fPz7vnxcAAOBnedvb3pa77747SfKZz3wms7OzGRkZyf/8n/8zL3nJS3LHHXfkyJEjGRgYWLAPdKJ2hCd4Au3t7Tn77LMzOjqaffv2Zdu2bent7c3KlSvndf9TtVq1XBwAAFhwbrzxxiTJpz71qfz+7/9+Pvaxj+Wv/uqv8r73vS9Hjx7Nz//8z+c5z3lOqlUJYiny3zqcgkqlkq6urnR0dGRoaCiDg4M5fPjwvO5/qlarmZmZSVEUpe+bAgAA+Jfe/va3553vfGcGBwfz3Oc+N1/72teSJBMTE1m9enWe85znlDwhZbDjCZ6EhoaGrFy5spT9T01NTUlizxMAALAgHD58OHv27Jn79e23356+vr4885nPzA9/+MMcOnQoSfKBD3wgr3zlK7Np06ayRqVETjzBU9DU1DTv+59OHEudmpqai1AAAABlGRkZyaWXXpqxsbE0NDRkxYoV+fznP5/+/v588pOfzD/8wz+kUqnkJS95Sa6//vqyx6UklaIoiid606k+Ig+WoqIo5vY/TU9P12z/0/T0dH70ox9l/fr1/jkEAAAWtKIoMjAwkPHx8WzcuLGUBzRRW6faitxqB0/Tif1PmzdvzooVK3Lw4MH8+Mc/zsGDB3MKXfeUnQhZbrUDAAAWukqlknXr1qWxsTE7duzIzMxM2SNREuEJTpNa73+qVCqebAcAANSNarWas846K1NTU9m5c+dp/YN56ofwBKfZif1PGzduTGNjYwYGBvLII49kYmLitHxsJ54AAIB60dLSkvXr1+fo0aPZu3dv2eNQAuEJaqS9vT1nn3121q1bl/Hx8Wzbti179+59WkdMnXgCAADqzfLly3PGGWfk4MGDGR4eLnsc5pmn2kENndj/1NHRkaGhoQwODubw4cNZtWpVenp6UqlUntTHa2pqyvHjx2s0LQAAQG309vZmYmIie/fuTUtLS5YvX172SMwTJ55gHpyu/U/VatWtdgAAQF1avXp1li9fnh07dpyWVSTUB+EJ5tGJ/U/PeMYzntL+pxPhyVI+AACg3px40l1TU1MeeeQRf6i+RAhPUIK2trantP+pqakpSXyDBgAA6lJjY2POOuuszMzMZMeOHZmdnS17JGpMeIKSnNj/tHnz5qxYsSKHDh3Kj3/84wwPDz/uiaZq9adr2YQnAACgXjU3N2f9+vUZGxvLnj173NGxyFkuDiU7sf+pp6cn+/fvz969e3Pw4MGsWbPmUQv3nv3sZ6dSqaSjoyMNDQ153/velze+8Y0lTQ4AAPDULFu2LGeccUZ2796d1tbW9Pf3lz0SNSI8wQJxYv9TX19f9u7dm4GBgXR0dGT16tVpaWmZe98f//Ef55WvfGV6e3tLnBYAAODp6enpycTERPbt25fm5uZ0dnaWPRI14FY7WGCeaP9TY2NjpqamSp4SAADg6Vu1alU6Ozuza9eujI2NlT0ONSA8wQL0ePufZmdn8773vS+/8Au/kHe84x0ZHBwse1QAAICnrFKpZO3atWlubs6OHTv8IfsiVClOYYvX6Ohourq6MjIy4ugblGBqair79+/PD3/4w5x55plpbGzM//v//r/57ne/my9+8YtljwcAAPC0TE1NZfv27WlqasrZZ5+dhgbnZBa6U21FwhPUkbGxsezYsSNtbW1pamrKOeeckyNHjpQ9FgAAwNM2NjaWhx56KJ2dnVm7dm0qlUrZI/EznGorkhChThw7diwTExNZtmxZpqamctNNN+UFL3hB2WMBAACcFm1tbVm7dm1GRkasFVlEhCeoE/v3788rXvGKXHTRRbn44ovzta99LTfeeGPZYwEAAJw2XV1d+Z3f+Z287GUvy/Of//xccMEFue+++056zw033JBKpZLbb7+9nCF5UqplDwCcmo0bN+a+++7Lrl27Mjk5mY0bN5Y9EgAAwGl322235ejRoxkdHc13v/vdXHbZZXnggQeSJAMDA/nkJz+ZrVu3ljwlp8qJJwAAAGDB6OnpyZlnnpm2trY8/PDDc6/Pzs7m8ssvz0c/+tG0tLSUOCFPhhNPUGdO4XkAAAAAde2yyy7L3Xffnenp6fzpn/5pZmZm8qEPfSgvfelL83M/93Nlj8eTIDwBAAAAC8qJfbZ/+qd/mj/6oz9KU1NTPvvZz+brX/96yZPxZLnVDuqQx4oCAABLweWXX5577703d911VwYGBrJ58+Zs2LAh//AP/5Arrrgif/Inf1L2iDwB4QkAAABYEA4fPpw9e/bM/fr2229PX19fPvjBD2bv3r0ZGBjIwMBAtm7dmk984hP5rd/6rRKn5VS41Q4AAABYEEZGRnLppZdmbGwsDQ0NWbFiRT7/+c+766OOCU8AAADAgnDWWWflH//xH5/wfV/96ldrPwynhVvtoM54qh0AAAD1QniCOuSYKQAAAPVAeAIAAACgJoQnAAAAAGpCeAIAAACgJoQnqDOWiwMAAFAvhCeoQ5aLAwAAUA+EJwAAAABqQngCAAAAoCaEJwAAAABqQniCOmO5OAAAAPVCeII6ZLk4AAAA9UB4AgAAAKAmhCcAAAAAakJ4AgAAAKAmhCeoM5aLAwAAUC+EJ6hDlosDAABQD4QnAAAAAGpCeAIAAACgJoQnAAAAAGpCeII6Y7k4AAAA9UJ4AgAAAKAmhCeoQ55qBwAAQD0QngAAAACoCeEJAAAAgJoQnqDOWC4OAABAvRCeAAAAAKgJ4QnqkOXiAAAA1APhCQAAAICaEJ4AAAAAqAnhCQAAAICaEJ6gzniqHQAAAPVCeIIF7KqrrsqGDRtSqVRy//33z73+8MMP5yUveUnOOeecnH/++fn+979f3pAAj+Hxvn/9zd/8TV70ohfl3HPPzdatW/PAAw+UNyQAADUnPMEC9oY3vCH33HNPzjrrrJNef8973pMrrrgiP/7xj/Oe97wnl112WTkDAjyOx/r+dejQobzlLW/Jpz71qXznO9/JH//xH+ctb3lLiVMCAFBrwhMsYBdeeGHWrl170mvDw8P5zne+k7e+9a1Jkl/7tV/Lzp07s23btjJGBHhMj/X9a/v27enr68tzn/vcJMkFF1yQHTt25Nvf/nYZIwIAMA+EJ6gze/fuzcqVK1OtVpMklUol69evz44dO0qeDOBn27x5c4aHh/P3f//3SZI77rgjR44cycDAQLmDAQBQM9WyBwCenGq1mkqlUvYYAE9aR0dH/uqv/irve9/7cvTo0fz8z/98nvOc58yFdAAAFh9XelBHiqJIZ2dn9u/fn+np6VSr1RRFkR07dmT9+vVljwfwMw0ODmbt2rX52te+liSZmJjI6tWr85znPKfkyQAAqBW32kEdmZqaSm9vb7Zs2ZJPf/rTSZLPfvazWbt2bTZt2lTydAA/2/j4eA4fPjz36w984AN55Stf6fsXAMAiJjzBAnbllVdm7dq12bVrV1796lfn2c9+dpLkv/7X/5qPf/zjOeecc/LBD34wN9xwQ8mTApzsX37/2rRpU8bGxvKRj3wkz3rWs7Jp06Y88sgjuf7668seFQCAGqoURVE80ZtGR0fT1dWVkZGRdHZ2zsdcwGM4ePBg9uzZk+c+97n2PAF1ZWpqKg8++GDWrVuXrq6usscBAOBpOtVW5MQT1JGJiYk0NzeLTkDdGRsbS5K0tbWVPAkAAPNJeII6Mjk5mebm5rLHAHjSxsfH09jYmKamprJHAQBgHglPUEcmJyfT0tJS9hgAT9rY2FhaW1ud2AQAWGKEJ6gTRVE48QTUrbGxMbfZAQAsQcIT1ImpqakUReHEE1B3pqenMz09LTwBACxBwhPUiYmJiSRx4gmoOxaLAwAsXcIT1InJyclUKhWLeYG6MzY2ZrE4AMASJTxBnZiYmEhzc7PFvEDdsVgcAGDpEp6gTlgsDtSr8fFxt9kBACxRwhPUicnJSYvFgbozPT2dqakp4QkAYIkSnqAOzM7OOvEE1KUTi8VbW1tLngQAgDIIT1AHpqamkniiHVB/xsbG0tDQ4PsXAMASJTxBHZiYmEgSt9oBdefEfieLxQEAlibhCerA5ORkKpVKqtVq2aMAPCknnmgHAMDSJDxBHTixWNyJAaCeWCwOAIDwBHVgYmLCfhSg7oyPjyeJ8AQAsIQJT1AHPNEOqEcWiwMAIDzBAjc7O5upqSmLxYG6c2K/k9uEAQCWLuEJFrjJyckkcWIAqDsnnmgHAMDSJTzBAnciPDnxBNSTmZmZTE5OCk8AAEuc8AQL3MTERBoaGtLY2Fj2KACnbGxsLEnS2tpa8iQAAJRJeIIFbnJyMi0tLXakAHVlfHw8DQ0NTmsCACxxwhMscBMTE/Y7AXXHYnEAABLhCRa8yclJ4QmoOyfCEwAAS5vwBAvYzMxMpqen3aoC1BWLxQEAOEF4ggXsxBPtnHgC6sn4+HiSCE8AAAhPsJCdCE9OPAH1ZGxsLJVKxfcuAACEJ1jIJiYm0tjYmMbGxrJHAThlFosDAHCC8AQLmMXiQD0aHx93mx0AAEmEJ1jQJiYm3KoC1JWZmZlMTEwITwAAJBGeYEFz4gmoNycWi7e2tpY8CQAAC4HwBAvUzMxMZmZmnHgC6sqJxeLCEwAAifAEC9bExESSOPEE1JXx8XGLxQEAmCM8wQI1OTmZRHgC6svY2Jj9TgAAzBGeYIGamJhItVpNY2Nj2aMAnJLZ2dlMTEy4zQ4AgDnCEywAr3rVq3Luuedmy5YtueCCC3LfffdlcnIyRVHkd37nd7J58+Y8//nPz1vf+tayRwV4XCcWizvxBADACdWyBwCSW265Jd3d3UmS2267LZdddlluvfXWXHfddWltbc2Pf/zjVCqV7Nu3r9xBAR7HxMRErrrqqnz5y19OZ2dnzjvvvHz6058ueywAAEomPMECcCI6JcnIyEgqlUoOHTqUv/zLv8zu3bvnlvSuXr26pAkBfrb3vve9mZmZyZ133pnNmzcL5QAAJBGeYMF429velrvvvjtJcscdd+Shhx5KT09Prrnmmtx5551pa2vL+9///vziL/5iyZMCnOzYsWO5/vrr87WvfS3t7e1JhHIAAH7KjidYIG688cbs3LkzV1999dzJgZ07d+Y5z3lOvvWtb+UjH/lI3vjGN2b//v1ljwpwku3bt6e3tzcf+9jH8iu/8iu54IILctddd5U9FgAAC4DwBAvM29/+9nzta1/LunXr0tDQkLe85S1Jkhe84AU5++yz893vfrfkCQFONj09nUceeSTPetaz8vd///dCOQAAc4QnKNnhw4ezZ8+euV9/5jOfSXd3d57xjGfkF3/xF/O3f/u3SZKHH344Dz/8cJ797GeXNSrAY1q/fn0aGhry2te+Nm1tbUI5AABz7HiCko2MjOTSSy/N2NhYGhoa0tXVlf/yX/5L+vr68t/+23/LO97xjrznPe9JQ0NDPv7xj+fMM88se2SAk3R0dOTFL35xvvOd7+TZz362UA4AwJxKURTFE71pdHQ0XV1dGRkZSWdn53zMBUvSzMxMHnzwwfT09GTNmjVljwNwSnbv3p0f/OAHueaaazI0NJSGhob8wR/8QX7t136t7NEAAKiRU21FTjzBAnLo0KHMzs6mv7+/7FEATsnU1FQOHz6cLVu2zD2ZEwAATrDjCRaI2dnZDA0Npbu7O01NTWWPA3BKhoeHU6lU0tvbW/YoAAAsQMITLBAjIyOZnp522gmoGzMzMzl48GB6e3vT2NhY9jgAACxAwhMsAEVRZGhoKB0dHWltbS17HIBTcujQoRRFkb6+vrJHAQBggRKeYAE4evRoJiYmnHYC6saJ24O7urrcHgwAwOMSnmABGBwcTFtbW9rb28seBeCUuD0YAIBTITxByY4fP57jx4+nv78/lUql7HEAnpDbgwEAOFXCE5RsaGgozc3N6ezsLHsUgFNy5MgRtwcDAHBKhCco0cTEREZHR512AurK0NBQ2tvbs2zZsrJHAQBggROeoETDw8NpbGxMd3d32aMAnJJjx47N3R4MAABPRHiCkkxPT+fQoUPp6+tLQ4N/FIH6MDQ0lJaWlnR0dJQ9CgAAdcBPu1CS4eHhVCqV9Pb2lj0KwCkZHx/PkSNH3B4MAMApE56gBDMzMzl48GB6enpSrVbLHgfglAwNDaVaraarq6vsUQAAqBPCE5Tg0KFDmZmZSV9fX9mjAJySqampjIyMpL+/3+3BAACcMleOMM+Kosjw8HC6urrS3Nxc9jgAp+TE7cE9PT1ljwIAQB0RnmCejYyMZGpqKitWrCh7FIBTcuL24N7e3jQ2NpY9DgAAdUR4gnlUFEWGhoayfPnytLa2lj0OwCk5ePBgiqJwezAAAE+a8ATz6OjRoxkfH09/f3/ZowCcktnZ2QwPD6e7uztNTU1ljwMAQJ0RnmAeDQ0Npa2tLcuWLSt7FIBTcvjw4UxPTwvmAAA8JcITzJOxsbEcO3Ys/f39qVQqZY8D8IRO3B7c2dmZlpaWsscBAKAOCU8wT4aGhtLU1JTOzs6yRwE4JaOjo5mcnHTaCQCAp0x4gnkwOTmZkZERp52AunHitFN7e3va29vLHgcAgDolPME8GBoaSmNjY3p6esoeBeCUHD9+PGNjY1mxYkXZowAAUMeEJ6ix6enpHDp0KH19fWlo8I8cUB8GBwfT0tKS5cuXlz0KAAB1zE/BUGPDw8NJkt7e3pInATg14+PjOXr0qNuDAQB42oQnOA3Gx8fzute9Luecc07OO++8XHTRRdm2bVtmZ2fzzne+M//qX/2r/NzP/Vxe+tKX5t577y17XICf6cTDELq7u8seBQCAOic8wWlyxRVX5MEHH8wDDzyQSy65JJdffnkOHTqUV77ylfne976XBx54IO973/ty6aWXlj0qwOOanJzM4cOH09fX57QTAABPm/AEp0Fra2suvvjiuR/Stm7dmoGBgQwNDeV1r3vd3BOhtm7dmt27d2d6errMcQEe1/DwsIchAABw2ghPUAMf/vCH88u//MuZmppKf3//Sa9ffPHFqVarJU4H8NhOPAyht7c3jY2NZY8DAMAi4KdfOM2uueaabNu2LTfeeGOq1Wra2tqSJJ/+9Kdzyy235Otf/3rJEwI8toMHD6YoivT19ZU9CgAAi4TwBKfRtddem1tvvTV33nlnurq6Mjs7myS5+eab83/9X/9X7rrrrqxatarkKQEebXZ2NsPDw+np6XEqEwCA08aVJZwm1113XW666abceeedc0+CamxszC233JLf//3fz5133pn169eXOyTA4zh06FBmZmacdgIA4LSqFEVRPNGbRkdH09XVlZGRkXR2ds7HXFBXdu3alXXr1mXjxo3p6OhIkrS0tOSb3/xmmpqasnr16pN+mLvrrrv8cAcsGEVR5Mc//nHa2toEcgAATsmptiInnuA0WLt2bR6v4U5NTc3zNABPzujoaKampkQnAABOO0+1A4AlrCiKDA4OZtmyZXMPQwAAgNNFeAKAJezYsWMZHx/PihUryh4FAIBFSHgCgCVsaGgora2tWbZsWdmjAACwCAlPALBEjY2N5ejRo+nv70+lUil7HAAAFiHhCQCWqKGhoTQ1NaWrq6vsUQAAWKSEJwBYgiYnJzMyMuK0EwAANSU8AcASNDQ0lMbGxvT09JQ9CgAAi5jwBABLzPT0dA4dOpS+vr40NLgUAACgdlxtAsASMzw8nCTp7e19Un/d+Ph4Xve61+Wcc87Jeeedl4suuijbtm1LkvzjP/5jtm7dmhe84AV59rOfnf/0n/7TaZ/7Z3nVq16Vc889N1u2bMkFF1yQ++67L8PDw9myZcvcv84555xUq9UcPHhwXmcDAFjKqmUPAADMn9nZ2Rw8eDA9PT2pVp/8ZcAVV1yR17zmNalUKvnYxz6Wyy+/PF/96ldzxRVX5D/+x/+YX/3VX83BgwfzrGc9K6997WvznOc8pwZfxaPdcsst6e7uTpLcdtttueyyy/LAAw/k/vvvn3vPtddem6997WtPOrgBAPDUOfEEAEvIoUOHMjMzk/7+/if917a2tubiiy+eW0a+devWDAwMJEkqlUoOHz6cJDl27Fiam5vnNfCciE5JMjIy8pgL06+//vq84x3vmLeZAABw4gkAloyiKDI0NJSurq40Nzc/7Y/34Q9/OJdcckmS5IYbbsgll1yS3//938/g4GA+/vGPZ/Xq1U/7czwZb3vb23L33XcnSb74xS+e9Ht///d/n0OHDuW1r33tvM4EALDUOfEEAIvIz9rDdPfdd+dNb3pTfuVXfiVbtmzJV77ylaf8ea655pps27Ytf/iHf5iiKPKHf/iH+cM//MPs2LEj3//+9/Mf/sN/yA9+8IPT9WWdkhtvvDE7d+7M1Vdfnfe85z2ZnZ2d+73rr78+b3vb257S7YUAADx1laIoiid60+joaLq6ujIyMpLOzs75mAsAeArGx8fzla985aQ9TJ/5zGfyla98JWeccUauvfbavPWtb82Pf/zj/NIv/VIefPDBtLW1PanPce211+Yv//Ivc+edd6a7uzvf+9738sIXvjBjY2NpbGxMklx66aV51atelX/7b/9tLb7MJ9Ta2ppvfetbed7znpejR49mzZo1uffee/OsZz2rlHkAABabU21FTjwBwCLyeHuYduzYkYMHD+Z1r3tdkuScc85Jd3d3vvSlLz2pj3/dddflpptuype//OW5vUobNmxIW1tbbrrppszMzGRoaCjf/OY387znPe90fmmP6/Dhw9mzZ8/cr2+//fb09PSko6MjSXLzzTfnvPPOE50AAErgvDkALGIn9jAVRZGVK1fmC1/4Qt74xjfm3nvvzYMPPji3HPxU7Nq1K+9617uycePGvOIVr0iStLS05Jvf/Gb++3//73n3u9+d//v//r9TqVTyu7/7u/n5n//5Gn1VJxsZGcmll16asbGxNDQ0ZMWKFfmzP/uzTE9PJ/npbXZlnbwCAFjq3GoHAIvUNddck7/+67/O5z73uYyMjGT//v25+uqrs3///jz3uc/N3r17c8kll+Sqq646LZ9vbGwsDz/8cFpaWrJhw4a52+7KsG/fvoyMjOSZz3xmaTMAACxmp9qKnHgCgEXo2muvza233pq//du/zdDQUJqbm/OSl7wkf/M3fzP3nmc/+9l57nOfe9o+Z1tbW84+++w8/PDDGRgYKDU+VavVTE9PpyiKudsOAQCYf3Y8AcAic2IP09/93d/l2LFjmZmZyZlnnpn9+/fPveeTn/xkli1blle+8pWn9XOfiE8TExMZGBjIzMzMaf34p6qpqSlFUZz0ZDsAAOafE08AsIj88z1Mv/ALv5CpqaksX7483/rWt/KJT3wif/EXf5GiKPLsZz87t912W01OAy2Ek0/V6k8vcaanp0u95Q8AYKmz4wkAFqGJiYls3749XV1dOfPMM0uZocydTxMTE/nJT36SDRs2ZPny5fP2eQEAlopTbUVutQOARWZ2djY7d+5MtVrN6tWrS5ujzNvu/vmJJwAAyiM8AcAic+DAgUxMTGTdunWl32ZWVnxqbGxMQ0OD8AQAUDLhCQAWkaNHj2ZoaCirVq1KW1tb2eMkKS8+nXiyHQAA5RGeAGCRmJ6ezq5du7Js2bL09fWVPc5JyohP1Wo1U1NTNf88AAA8PuEJABaBoiiye/fuFEWRtWvX1uRpdU/XfMcnJ54AAMonPAHAInDo0KEcOXIkZ555Zpqamsoe53HNZ3wSngAAyic8AUCdGx8fz969e9Pb2/szH2W7UMxXfGpqahKeAABKJjwBQB2bnZ3Nrl270tzcnNWrV5c9zimbj/hUrVYzMzOT2dnZ0/6xAQA4NcITANSx/fv3Z2JiIuvWrUtDQ33933qt41O1Wk0Sp54AAEpUX1eoAMCcI0eOZHh4OKtXr05ra2vZ4zwltYxPwhMAQPmEJwCoQ9PT09m1a1eWL1+e3t7essd5WmoVn04sWReeAADKIzwBQJ0piiK7du1KkqxduzaVSqXkiZ6+WsSnxsbGJMITAECZhCcAqDMHDx7M0aNHs3bt2rnbyRaD0x2fKpVKqtVqpqamTtOEAAA8WcITANSR8fHx7Nu3L319feno6Ch7nNPudMenarXqxBMAQImEJwCoE7Ozs9m5c2daWlqyatWqssepmdMZn5qamoQnAIASCU8AUCf27duXycnJrF27Ng0Ni/v/wk9XfHLiCQCgXIv7qhUAFonR0dEcPHgwa9asSWtra9njzIvTEZ/seAIAKJfwBAAL3NTUVHbv3p2Ojo709PSUPc68errxqVqtZmZmJkVR1GhCAAB+FuEJABawoiiya9euVCqVnHnmmalUKmWPNO+eTnyqVqspiuJpLykHAOCpEZ4AYAEbGhrKsWPHsnbt2lSr1bLHKc1TjU9NTU1JYs8TAEBJhCcAWKDGxsayf//+9Pf3Z/ny5WWPU7qnEp9OxDrhCQCgHMITACxAMzMz2blzZ1pbW7Ny5cqyx1kwnmx8OhGeLBgHACiH8AQAC9C+ffsyPT2ddevWpaHB/13/c08mPjU0NKShocGJJwCAkriSBYAFZmRkJIcOHcqaNWvS0tJS9jgL0pOJT01NTcITAEBJhCcAWEAmJyeze/fudHZ2pru7u+xxFrS2trZs2LDhCeNTtVoVngAASiI8AcACURRFdu3alcbGxpx55pmpVCplj7Tgtbe3P2F8qlardjwBAJREeAKABWJwcDDHjx/P2rVr09jYWPY4deOJ4pMTTwAA5RGeAGABOH78eA4cOJAVK1Zk2bJlZY9Td35WfLLjCQCgPNWyBwCApW5mZiY7d+5MW1tbVq5cWfY4detEfBoYGMgv/MIvZHR0NA0NDWlra8u///f/Ps961rOycePGtLS0pK2tLUnyvve9L2984xtLnhwAYPESngBgHlx11VW544478sgjj+S+++7Lli1bkiSvetWrsnPnzhRFkf7+/nz0ox/NC17wgnKHrWMn4tO1116bFStWZMOGDbn55pvz+7//+/nVX/3VJMnNN9889/cfAIDacqsdAMyDN7zhDbnnnnty1llnnfT6Jz/5yfzVX/1V/uEf/iHvete7ctlll5Uz4CLS3t6ec889d+62uyNHjqRSqbjdDgCgBE48AcA8uPDCCx/12uTkZI4dO5aurq50d3dnZGTEk+xOk/b29lx99dW5++67kyT/5b/8l7nw9La3vS1FUeR/+V/+l3zwgx/MihUryhwVAGBRc+IJAEpQFEV27tyZxsbG/B//x/+RdevW5f/8P//P/Pmf/3nZoy0a//2///ds3749/+7f/bt86EMfyuTkZL7+9a/nO9/5Tr797W+nv78/b3/728seEwBgUROeAKAERVGkpaUl69aty5//+Z9n586dufrqq/Oe97yn7NEWlZaWlvzGb/xG7r333mzfvj2rVq1K8tMn3f3u7/5uvvGNb5Q8IQDA4iY8AUAJGhoasnbt2rS3t8+99va3vz133313hoeHS5ys/h0+fDi7d+/OyMhIfvKTn+S2225LT09PWltbc9999+XIkSNJkptuuskidwCAGrPjCQBKcvjw4Rw/fjxnnHFGkuT2229PX19fent7S56svh04cCCXXnppjh8/nmq1mjVr1uRLX/pSli1blre85S2ZmppKtVrN5s2bc+ONN5Y9LgDAoiY8AcA8uPLKK/OFL3wh+/bty6tf/ep0dHTkrrvuyqWXXpqxsbE0NDRkxYoV+fznP2/B+FM0OzubwcHBTE1N5ZZbbsmaNWvS2dl50nu+973v5cCBAxkcHExnZ2fOPPPMkqYFAFgaKkVRFE/0ptHR0XR1dWVkZORRF3AAAGU7cuRI9uzZk+np6fT392fFihVpaHj8jQIjIyPZvXt3mpqasn79+rS0tMzjtAAA9e9UW5ETTwBA3ZqcnMy+ffsyOjqaZcuWZcOGDacUkbq6utLS0pIdO3Zk+/btWbduXTo6OuZhYgCApUV4AgDqzuzsbIaHh3PgwIE0NjZm3bp16ezsfFK3Kba2tuYZz3hGdu7cmUceeSSrVq1Kf3+/Wx0BAE4j4QkAqCtHjx7N3r17MzExkb6+vqxcuTKNjY1P6WM1NjbmrLPOyoEDB7J///6MjY3lzDPPfMofDwCAkwlPAEBdmJqayr59+zIyMpL29vZs2rQpra2tT/vjViqVrFq1Kq2trdm9e3ceeughe58AAE4T4QkAWNCKosjBgwezf//+VCqVnHnmmenu7j7tt8TZ+wQAcPoJTwDAgnX8+PHs2bMn4+Pj6e3tzcqVK1Ot1u7yxd4nAIDTS3gCABac6enp7N+/P4cOHUpra2s2btyY9vb2efnc9j4BAJw+whMAsGAURZFDhw5l//79KYoia9asSW9v77yfOLL3CQDg9BCeAIAFYWxsLHv27MnY2Fi6u7uzevXqmt5WdyrsfQIAeHoayh4AAFjaZmZmsmfPnmzfvj2zs7M5++yzs3bt2tKj0wkn9j61t7fnkUceyeDgYIqiKHssAIC6sDCu6ACAJacoioyMjGTfvn2ZnZ3N6tWr09fXtyAXedv7BADw1DjxBADMu/Hx8QwMDGTXrl1pb2/P5s2bF/zT407sfVq3bl2OHj2ahx56KBMTE2WPNS/Gx8fzute9Luecc07OO++8XHTRRdm2bVuS5MCBA/nlX/7lbN68Oc973vPy9a9/veRpAYCFRHgCAE6rq666Khs2bEilUsn9999/0u/NzMxk37592bZtW6ampnLWWWdl/fr1aWpqKmfYp6CrqysbN25MURTZvn17jhw5UvZI8+KKK67Igw8+mAceeCCXXHJJLr/88iTJe9/73mzdujU/+clPcsMNN+TNb35zpqamSp4WAFgohCcA4LR6wxvekHvuuSdnnXXW3Gsnbqv7yU9+kuHh4axcuTKbNm2q20XdS23vU2tray6++OK5E2lbt27NwMBAkuSWW27JO9/5ziTJ+eefnzPOOCNf+9rXyhoVAFhg7HgCAE6rCy+88KRfT0xMZO/evTl69Gg6OjqyZs2aNDc3lzTd6bOU9z59+MMfziWXXJLh4eFMTU1l9erVc7+3YcOG7Nixo8TpAICFRHgCAGpmeHg427ZtS7Vazfr169PR0bGg9zg9WSf2PrW2tmb37t156KGHsn79+rS0tJQ9Ws1cc8012bZtW77whS9kZGSk7HEAgAXOrXYAwGk3Pj6e6enpHD58OP39/dm8eXM6OzsXVXT655bK3qdrr702t956a/7yL/8ye/fuzezsbKrVavbt2zf3noGBgaxfv77EKQGAhUR4AgBOu6amplQqlaxbty6rVq1KQ8Piv+RY7Hufrrvuutx000258cYbc+TIkXR1deXss8/OpZdemv/23/5bkuTee+/N7t278wu/8AslTwsALBRuteOUjY+P501velN+8IMfpK2tLStXrsyf/MmfZNOmTfnN3/zN/NM//VMaGhrS1NSUD37wg/nFX/zFskcGoCSNjY1pbGxcFLucnozFuvdp165dede73pV169bl9a9/fZqamtLe3p5vfvOb+aM/+qP8xm/8RjZv3pzm5uZ8+tOfrqunFAIAtVUpTuGP4kZHR9PV1ZWRkZF0dnbOx1wsQOPj4/nKV76S17zmNalUKvnYxz6Wz3zmM/nqV7+aw4cPp7u7O0ly33335Rd/8RczNDS0JP6EG4CTXXnllfnCF76Qffv2pa+vLx0dHdm2bVvZY827kZGR7N69O01NTXW/9+no0aPZuXNnGhoasm7durS3t5c9EgBQslNtRaoAp+xnPUr5RHRKYtEowBL38Y9/PLt27cr09HT279+/JKNTcvLep4ceeqgu9z4VRZEDBw5kYGAgbW1tc7cSAgCcKuGJp+zEo5RPeO9735tnPOMZef3rX5/PfvazTjsBsOSd2PvU1tZWd3ufZmZmsmPHjhw4cCArVqzIWWedlWrVlgYA4Mlxqx1P2uzsbD7wgQ/k85//fG699dasW7fupN+/88478773vS//43/8jyW32wMAHsuJk0ODg4Pp7Oxc8HufxsbGsmPHjszOzmbt2rXp6OgoeyQAYIFxqx2nRVEUmZyczMjISPbu3Zvt27fn3e9+d2655ZZ85CMfecy/5pd+6Zdy5MiRfPe7353naQFgYapUKlm1alXWrVuXo0eP5qGHHsrExETZYz2mgwcP5qGHHkpjY2Oe8YxniE4AwNPivDQnmZ2dzdjYWI4fPz7379PT00l++mjsv/iLv8iXv/zlfPnLX87q1avT0NCQqampPPLII9m0aVOS5B//8R9z4MCBbNy4scwvBQAWnK6urrS0tGTHjh156KGHFtRpotnZ2ezZsyeHDx9OT09P1qxZ47Z5AOBpc6tdHbjqqqtyxx135JFHHsl9992XLVu2JEk2bNiQlpaWtLW1JUne97735Y1vfOMpf9wTp5lOBKbjx49nfHw8SdLQ0JC2tra0tbWlvb097e3t2bdvX9atW5eNGzfOXSS3tLTk7rvvzkUXXZSRkZFUq9UsW7YsH/jAB/LKV77y9P6NAIBFYmZmJjt37szRo0ezatWq9Pf3zz28owyTk5PZsWNHJiYmcsYZZ6Snp6e0WQCA+nCqrciJpzrwhje8Ie9+97vzspe97FG/d/PNN8+FqCcyMzPzqNNMMzMzSTIXsHp7e9Pe3p6WlpZHXQCvXbv2cRei/o//8T+e3BcFAEtYY2NjzjrrrBw4cCD79+/P2NhYaXufRkdHs2vXrlSr1WzcuHHuD7QAAE4H4akOXHjhhU/6rymKIhMTEyedZjqxS6KhoSHt7e1zkamtrc1TagBgnp3Y+9Ta2prdu3fnoYceyvr169PS0jIvn/+fLzzv6OjI2rVrF/TCcwCgPqkNde5tb3tbiqLIi170ovzBH/xB2tvb52LT7Oxskp+eZmpvb09/f3/a2toe8zQTAFCOMvY+TU9PZ+fOnTl27NiCuNUPAFi8hKc6NTMzkzvuuCO9vb0ZGRnJf/7P/zlve9vb8olPfGIuMp04zeRPLwFgYWttbc0znvGM7Ny5M4888khNY9Dx48ezY8eOFEWRDRs2ZPny5af9cwAAnCA81amZmZk0NDRkfHw8PT09efe7353zzz8/z3rWs/yJJQDUoVrvfSqKIgcPHszevXvT3t6edevWpamp6bR8bACAxyM81anJycmcccYZ6e3tTZL85V/+ZV7wgheITgBQx2q192lmZiZ79uzJyMhI+vr6snr1atcMAMC8EJ7qwJVXXpkvfOEL2bdvX1796leno6Mjf/d3f5df+7Vfy8zMTIqiyMaNG3PjjTeWPSoAcBqczr1PExMT2bFjR6amprJu3bp0dXWd5mkBAB5fpSiK4oneNDo6mq6uroyMjKSzs3M+5gIAWPJmZmayc+fOHD169CntfRoZGcnu3bvT1NSUdevWpbW1tYbTAgBLyam2IieeAAAWqKe696koiuzbty/Dw8Pp6urKGWec4WEjAEApGsoeAACAx3di79O6desyPDycV7/61dm8eXPOO++8XHTRRdm2bdtJ7/+7v/u7VKvV/D//z/+TNWvWZO3ataITAFAa4QkAoA50dXXl7LPPzhvf+MZ87nOfyz333JNLLrkkl19++dx7du/end/7vd/LhRdemL6+vvT19VkiDgCUSngCAKgT3d3d+Tf/5t+kvb09jzzySJ75zGdmYGAgRVFkcHAw73znO/Pv/t2/y7p169Lc3Fz2uAAAwhMAQD05sfdpxYoV+chHPpJXvOIVeeSRR/Lnf/7naWtry+WXX56GBpd4AMDCYLk4AECdqVQquf7667N///68//3vz8DAQP70T/80X/ziFzMzM1P2eAAAc4QnAIA6c+211+bWW2/NnXfemaGhofzTP/1TDhw4kJe+9KVJksOHD+dzn/tc9uzZkz/6oz+y5wkAKE2lKIriid40Ojqarq6ujIyMpLOzcz7mAgDgMVx33XX5i7/4i9x5553p6enJtm3b0t7enjPOOCPT09M5cuRIrrjiijzjGc/IW9/61lSr1XR0dKSjoyPLly93Gx4AcFqcaity4gkAoE7s2rUr73rXu7Jx48a84hWvSJIURZG//du/TZJUq9X09PRk2bJlWbVqVTZs2JAjR47kyJEjOXToUCqVSpYtWzYXoiwgBwBqzYknAIA69sMf/jB9fX1ZuXLlz3zfxMTEXIQ6duxYkqSlpWUuQrW3t7slDwA4ZU48AQAsAbOzs2lsbHzC97W0tKSlpSX9/f2ZmZnJ0aNH505CDQ0NpbGxMcuXL5+7Ja9adZkIADx9rigAAOpUURQpiuJJ721qbGxMV1dXurq6UhRFxsbG5k5DjYyMJEna29vnTkO1tLQ4DQUAPCXCEwBAnZqdnU2Sp7UwvFKppL29Pe3t7Vm1alWmpqbmItSBAweyf//+NDU1zUWoZcuWWVAOAJwy4QkAoE7NzMwkeXrh6V9qampKb29vent7Mzs7m2PHjs2FqIMHD6ZSqczdktfR0ZGmpqbT9rkBgMVHeAIAqFOn48TTz9LQ0DAXmIqiOGlB+Z49e5Ikra2tc+9pa2tzSx4AcBLhCQCgTtU6PP1zlUolra2taW1tzYoVKzI9PT23oHx4eDiDg4OpVqsnLSg/laXnAMDiJjwBANSpE+GpjMBTrVbT3d2d7u7uFEWR48ePz52GOnz48NzuqH++oBwAWHqEJwCAOjWfJ55+lkqlkmXLlmXZsmVZvXp1Jicn5yLU/v37s2/fvjQ3N5+0oPxn3ZL3k5/8JG9/+9szNDSUrq6u/Nmf/Vme+9znzuNXBACcLsITAECdWijh6V9qbm5OX19f+vr6MjMzM7egfGRkJMPDw2loaDhpQXm1evIl6ZVXXpkrrrgil112WT7zmc/ksssuy7333lvSVwMAPB2VoiiKJ3rT6Ohourq6MjIyks7OzvmYCwCAJ3Dw4MHs2bMnz33uc+tiqXdRFBkfH587DTU2NpYkaWtrm4tQo6Oj2bx5cw4ePJhqtZqiKLJmzZrcc8892bRpU8lfAQBwwqm2IieeAADq1MzMTBoaGuoiOiU/vSWvra0tbW1tWblyZaampuYWlA8NDeXAgQN58MEHs2LFihw/fjzLli1LY2Nj1q9fnx07dghPAFCHhCcAgDo1Ozu74G6zezKamprS09OTnp6ezM7O5vjx49m9e3dmZ2eza9euFEWR9vb2TE9PZ3JyMkVR1E1kAwB+SngCAKhTs7OzpTzRrhZO7H16wQtekOHh4Zx11lkZGxvLkSNHsmPHjszOzubBBx+c2w21bNmyR+2GAgAWnvr9IzIAgCWu3k88PZaVK1fmhS98Yf7qr/4q/f39+ad/+qds2LAhF1xwQbq6ujI2NpadO3fmRz/6UbZv3579+/fn+PHjOYW1pQBACfwxEQBAnVqM4SlJPv7xj+eyyy7LNddck87Oztxwww1zy8eTnLQb6uDBgxkcHJw7MXXiX83NzSV/FQBAIjwBANStxRqenvnMZ+Z//s//+bi//893QxVFkbGxsbkQtWfPniRJS0vLXIRatmzZovz7BAD1QHgCAKhTMzMzaWpqKnuMUlUqlbS3t6e9vT0rV67MzMxMjh49mqNHj2ZkZCTDw8OpVCpZtmzZXIhqaWmxpBwA5onwBABQpxbTcvHTpbGxMV1dXenq6kpRFJmYmJgLUfv378++fftSrVbT0dExF6L8PQSA2hGeAADq1GK91e50qVQqaW1tTWtra/r7+zM7O5tjx47NhahDhw4lSdra2uaeltfW1va4p6Guuuqq3HHHHXnkkUdy3333ZcuWLRkfH8+b3vSm/OAHP0hbW1tWrlyZP/mTP8mmTZvm80sFgAXLlQoAQJ0Snp6choaGdHR0ZM2aNdm8eXPOOeecnHHGGWlqasrw8HAeeuih/OhHP8qOHTty8ODBTE1NnfTXv+ENb8g999yTs84666TXr7jiijz44IN54IEHcskll+Tyyy+fzy8LABY0J54AAOqU8PT0NDc3p7e3N729vXNLyo8cOZKjR48+5pLyl73sZY/6+93a2pqLL7547tdbt27NtddeO69fBwAsZMITAEAdKopCeDqN/vmS8lWrVmV6ejrHjh3LkSNHHrWkfHZ2NhMTEymK4lG35X34wx/OJZdcUtJXAQALj/AEAFCHZmdnk0R4qpFqtfqYS8qPHDmSmZmZ7Ny5M93d3Vm+fHn6+/vT0tKSa665Jtu2bctdd91V9vgAsGAITwAAdUh4mj//ckl5U1NT1qxZk87Ozhw9ejSVSiXXXnttbr311tx5551pb28ve2QAWDCEJwCAOnQiPDU2NpY8ydK0bNmyrFmzJkly3XXX5aabbsqdd96Z7u7ucgcDgAXGH5EBANQhJ57m35VXXpm1a9dm165defWrX51NmzZl165dede73pXDhw/nFa94RbZs2ZIXv/jFZY8KAAuGE08AAHVIeJp/H//4xx/z9aIo5nkSAKgfrlQAAOqQ8AQA1ANXKgAAdWhmZiaJ8AQALGyuVAAA6pATTwBAPXClAgBQh2ZnZ9PQ0JBKpVL2KAAAj0t4AgCoQyfCEwDAQuZqBQCgDglPAEA9cLUCAFCHhCcAoB64WgEAqEMzMzPCEwCw4LlaAQCoQ048AQD1wNUKAEAdmp2dTWNjY9ljAAD8TMITAEAdcuIJAKgHrlYAAOqQ8AQA1ANXKwAAdUh4AgDqgasVAIA65Kl2AEA9cLUCAFBniqJw4gkAqAuuVgAA6kxRFEkiPAEAC56rFQCAOjM7O5skaWxsLHkSAICfTXgCAKgzJ8KTE08AwELnagUAYAG76qqrsmHDhlQqldx///1JfhqeJicn83u/93vZvHlznv/85+etb31ruYMCADyGatkDAADw+N7whjfk3e9+d172spfNvTY7O5sPfehDWb58eX784x+nUqlk3759JU4JAPDYhCcAgAXswgsvfNRro6Ojue222zIwMJBKpZIkWb169XyPBgDwhNxqBwBQZ7Zv356urq78p//0n/KiF70oF1xwQe66666yxwIAeBThCQCgzkxNTWXPnj157nOfm29961v5yEc+kje+8Y3Zv39/2aMBAJxEeAIAqDNnnnlmGhoa5haKv+AFL8jZZ5+d7373uyVPBgBwMuEJAKDOdHd3Z+vWrfnbv/3bJMnDDz+chx9+OM9+9rNLngwA4GTCEwDAAnbllVdm7dq12bVrV1796ldn06ZNmZ2dzfvf//788R//cZ7//Ofnda97XT7+8Y/nzDPPLHtcAICTVIqiKJ7oTaOjo+nq6srIyEg6OzvnYy4AAB7H3r17c+TIkZxzzjlljwIALFGn2oqceAIAqDNFUaShwWUcALDwuWIBAKgzs7OzwhMAUBdcsQAA1BnhCQCoF65YAADqjPAEANQLVywAAHVmdnY2lUql7DEAAJ6Q8AQAUGeceAIA6oUrFgCAOuOpdgBAvXDFAgBQZ5x4AgDqhSsWAIA6IzwBAPXCFQsAQJ0RngCAeuGKBQCgjhRFkaIoPNUOAKgLwhMAQB2ZnZ1NEieeAIC64IoFAKCOFEWRRHgCAOqDKxYAgDrixBMAUE9csQAA1BHhCQCoJ65YAADqiPAEANQTVywAAHXkRHjyVDsAoB4ITwAAdcSJJwCgnrhiAQCoI55qBwDUE1csAAB1xIknAKCeuGIBAKgjs7OzqVQqdjwBAHVBeAIAqCOzs7NOOwEAdcNVCwBAHTlx4gkAoB4ITwAAdcSJJwCgnrhqAQCoI0VRCE8AQN1w1QIAUEeceAIA6omrFgCAOiI8AQD1xFULAEAdEZ4AgHriqgUAoI54qh0AUE+EJwCAOuLEEwBQT1y1AADUEU+1AwDqiasWAIA64sQTAFBPXLUAANQR4QkAqCeuWgAA6ojwBADUE1ctAAAL1FVXXZUNGzakUqnk/vvvT1EUKYoi73vf+056HQBgoRKeAAAWqDe84Q255557ctZZZyX56WmnJLnkkktOeh0AYKGqlj0AAACP7cILLzzp10VRJEkuuOCCdHZ2ljESAMCT4sQTAECdOHHiyY4nAKBeuGoBAKgTDQ0N6e/vT3Nzc9mjAACcErfaAQDUiWq1mtWrV5c9BgDAKXPiCQAAAICaEJ4AABaoK6+8MmvXrs2uXbvy6le/Ops2bfqZrwMALDSV4sTjUX6G0dHRdHV1ZWRkxBNUAAAAAJa4U21FTjwBAAAAUBPCEwAAAAA1ITwBAAAAUBPCEwAAAAA1ITwBAAAAUBPCEwAAAAA1ITwBAAAAUBPCEwAAAAA1ITwBAAAAUBPCEwAAAAA1ITwBAAAAUBPCEwAAAAA1ITwBAAAAUBPCEwAAAAA1ITwBAAAAUBPCEwAAAAA1ITwBAAAAUBPCEwAAAAA1ITwBAAAAUBPCEwAAAAA1ITwBAAAAUBPCEwAAAAA1ITwBAAAAUBPCEwAAAAA1ITwBAAAAUBPCEwAAAAA1ITwBAAAAUBPCEwAAAAA1ITwBAAAAUBPCEwAAAAA1ITwBAAAAUBPCEwAAAAA1ITwBAAAAUBPCEwAAAAA1ITwBAAAAUBPCEwAAAAA1ITwBAAAAUBPCEwAAAAA1ITwBAAAAUBPCEwAAAAA1ITwBAAAAUBPCEwAAAAA1ITwBAAAAUBPCEwAAAAA1ITwBAAAAUBPCEwAAAAA1ITwBAAAAUBPCEwAAAAA1ITwBAAAAUBPCEwAAAAA1ITwBAAAAUBPCEwAAAAA1ITwBAAAAUBPCEwAAAAA1ITwBAAAAUBPCEwAAAAA1ITwBAAAAUBPCEwAAAAA1ITwBAAAAUBPCEwAAAAA1ITwBAAAAUBPCEwAAACwR4+Pjed3rXpdzzjkn5513Xi666KJs27YtSfLyl788Z599drZs2ZItW7bkQx/6UMnTshhUyx4AAAAAmD9XXHFFXvOa16RSqeRjH/tYLr/88nz1q19NknzoQx/K6173ulLnY3Fx4gkAAACWiNbW1lx88cWpVCpJkq1bt2ZgYKDcoVjUhCcAAABYoj784Q/nkksumfv1e9/73jz/+c/PG9/4xjz00EMlTsZiITwBAADAEnTNNddk27ZtueqqqzI1NZU///M/z49+9KN85zvfyQUXXJDXvva1ZY/IIiA8AQAAwBJz7bXX5tZbb82NN96Y8fHxFEWRdevWJUkqlUp+53d+Jw899FCGh4dLnpR6JzwBAADAEnLdddflpptuype+9KVMTU2lt7c3DQ0N2b9//9x7PvvZz2bVqlXp6+srcVIWA0+1AwAAgCVi165dede73pWNGzfm5S9/eWZmZtLZ2Zm77747v/Irv5KJiYk0NDSkv78/d9xxR9njsggITwAAALBErF27NkVRZGJiIj/5yU+yatWqrFixIknyrW99q+TpWIzcagcAAABLzP79+9PU1ORWOmpOeAIAAIAl5Pjx4xkdHc3KlSvT0CALUFv+FwYAAABLRFEU2bdvX1pbW9Pd3V32OCwBwhMAAAAsEUeOHMnx48ezatWqVCqVssdhCRCeAAAAYAkoiiL79+/PsmXL0tHRUfY4LBHCEwAAACwBhw4dysTERFavXl32KCwhwhMAAAAscjMzMzlw4EC6urrS1tZW9jgsIcITAAAALHLDw8OZmZnJqlWryh6FJUZ4AgAAgEVseno6Q0ND6evrS3Nzc9njsMQITwAAALCIHThwIEnS399f8iQsRcITAAAALFITExM5ePBgVq5cmWq1WvY4LEHCEwAAACxS+/fvT1NTU3p7e8sehSVKeAIAAIBF6Pjx4xkdHc2qVavS0ODHf8rhf3kAAACwyBRFkX379qW1tTVdXV1lj8MSJjwBAADAInPkyJEcP348q1evTqVSKXscljDhCQAAABaRE6edli9fnuXLl5c9Dkuc8AQAAACLyKFDhzI5OZlVq1aVPQoITwAAALBYzMzM5MCBA+nu7k5bW1vZ44DwBAAAAIvF8PBwZmZmsnLlyrJHgSRJtewBAAAAgFP3qle9Kvv27UtDQ0M6OjrykY98JC94wQty0UUXZceOHWlqakpPT8/c61Am4QkAAADqyC233JLu7u4kyW233ZbLLrssDzzwQD7ykY8kSc4555zccccdc69DmdxqBwAAAHXkRHRKkpGRkVQqlUxMTGRmZiYrVqxIY2Pj3OtQNieeAAAAoM687W1vy913350k+eIXv5j9+/enqakp/9v/9r/lq1/96tzrULZKURTFE71pdHQ0XV1dGRkZSWdn53zMBQAAADyBT33qU7npppvyn//zf84ZZ5yRnp6euddvvvlm8YmaOdVWJDwBAABAHWtra8uXv/zlnH/++WlpaTnp9V27dqWvr6/E6VisTrUV2fEEAAAAdeLw4cPZs2fP3K9vv/329PX1pVKp5JFHHnnU6729vWWMCXPseAIAAIA6MTIykksvvTRjY2NpaGjIihUr8td//dcZHh7Om970pkxNTc29/vnPf96CcUrnVjsAAACoc9u3b09LS0vWrl1b9igsEW61AwAAgCWipaUlExMTZY8BjyI8AQAAQJ1rbW3NxMRETuGmJphXwhMAAADUuZaWlszOzmZqaqrsUeAkwhMAAADUuZaWliRxux0LjvAEAAAAda6pqSkNDQ3CEwuO8AQAAAB1rlKppKWlJePj42WPAicRngAAAGAR8GQ7FiLhCQAAABYBT7ZjIRKeAAAAYBHwZDsWIuEJAAAAFgFPtmMhEp4AAABgEfBkOxYi4QkAAAAWAU+2YyESngAAAGCR8GQ7FhrhCQAAABaJE+HJk+1YKIQnAAAAWCRaW1s92Y4FRXgCAACARcKT7VhohCcAAABYJDzZjoVGeAIAAIBFwpPtWGiEJwAAAFhEPNmOhUR4AgAAgEXEk+1YSIQnAAAAWEQ82Y6FRHgCAACARcST7VhIhCcAAABYRJqamlKpVIQnFgThCQAAAOrc+Ph4Xve61+Wcc87Jli1bcuWVV+aHP/xhkqQoirz//e/POeeck+c///l5xSteUfK0LCXVsgcAAAAAnr4rrrgir3nNa1KpVHL11Vfn937v9/LNb34zH/nIR/Kd73wn3/ve99Lc3Jx9+/aVPSpLiBNPAAAAUOdaW1tz8cUXp1KpJEle/OIXZ9euXSmKIn/8x3+cD37wg2lubk6SrF69usxRWWKEJwAAAFhkrr/++rziFa/I8PBw9u/fn8997nN58YtfnBe/+MW5+eabyx6PJcStdgAAALCIXHPNNRkYGMhHP/rRHDt2LNPT0xkbG8s3v/nNDAwM5CUveUme9axn5bzzzit7VJYAJ54AAABgkbj22mtz66235ktf+lLOOuusrF69OsuXL89b3/rWJMmGDRvy0pe+NPfee2/Jk7JUCE8AAACwCFx33XW56aab8uUvfzk9PT1ZuXJlWlpa8q//9b/O3/zN3yRJDh48mH/8x3/MueeeW/K0LBWVoiiKJ3rT6Ohourq6MjIyks7OzvmYCwAAADhFu3btyrp167Jx48Z0dHQkSVpaWvLNb34zw8PD+c3f/M089NBDSZLf/u3fzm//9m+XOS6LwKm2IuEJAAAAgCflVFuRW+0AAAAAqAnhCQAAAICaEJ4AAAAAqAnhCQAAAICaEJ4AAAAAqAnhCQAAAICaEJ4AAAAAqAnhCQAAAICaEJ4AAAAAqAnhCQAAAICaEJ4AAAAAqAnhCQAAAICaEJ4AAAAAqAnhCQAAAICaEJ4AAAAAqAnhCQAAAICaEJ4AAAAAqAnhCQAAAICaEJ4AAAAAqAnhCQAAAICaEJ4AAAAAqAnhCQAAAICaEJ4AAAAAqAnhCQAAAICaEJ4AAAAAqAnhCQAAAICaEJ4AAAAAqAnhCQAAAICaEJ4AAAAAqAnhCQAAAICaEJ4AAAAAqAnhCQAAAICaEJ4AAAAAqAnhCQAAAICaEJ4AAAAAqAnhCQAAAICaEJ4AAAAAqAnhCQAAAICaEJ4AAAAAqAnhCQAAAICaEJ4AAACA/1979xea9X3ocfzzPIlJ/PPk0ST+7ax/5laFYqVjYxetMLo5VgqVMWE3s8I6t6syGKywa2lhyGCjsK3QMQuj00GVzelwE9tdOOwurDeDQtRWq7WaaJLHJGpjnnOxU8+Rs53ac/r1SczrBYIxj/rJTUze/n7fHxQhPAEAAABQhPAEAAAAQBHCEwAAAABFCE8AAAAAFCE8AQAAAFCE8AQAAABAEcITAAAAAEUITwAAAAAUITwBAAAAUITwBAAAAEARwhMAAAAARQhPAAAAABQhPAEAAABQhPAEAAAAQBHCEwAAAABFCE8AAAAAFCE8AQAAAFCE8AQAAABAEcITAAAAAEUITwAAAAAUITwBAAAAUITwBAAAAEARwhMAAAAARQhPAAAAABQhPAEAAABQhPAEAAAAQBHCEwAAAABFCE8AAAAAFCE8AQAAAFCE8AQAAABAEcITAAAAAEUITwAAAAAUITwBAAAAUITwBAAAAEARwhMAAAAARQhPAAAAABQhPAEAAABQhPAEAAAAQBHCEwAAAABFCE8AAAAAFCE8AQAAAFCE8AQAAABAEcITAAAAAEUITwAAAAAUITwBAAAAUITwBAAAAEARwhMAAAAARQhPAAAAABQhPAEAAABQhPAEAAAAQBHCEwAAAABFCE8AAAAAFCE8AQAAAFCE8AQAAABAEcITAAAAAEUITwAAAAAUITwBAAAAUITwBAAAAEARwhMAAAAARQhPAAAAABQhPAEAAABQhPAEAAAAQBHCEwAAAABFCE8AAAAAFCE8AQAAAFCE8AQAAABAEcITAAAAAEUITwAAAAAUITwBAAAAUITwBAAAAEARwhMAAAAARQhPAAAAABQhPAEAAABQhPAEAAAAQBHCEwAAAABFCE8AAAAAFCE8AQAAAFCE8AQAAABAEcITAAAAAEUITwAAAAAUITwBAAAAUITwBAAAAEARwhMAAAAARQhPAAAAABQhPAEAAABQhPAEAAAAQBHCEwAAAABFCE8AAAAAFCE8AQAAAFCE8AQAAABAEcITAAAAAEUITwAAAAAUITwBAAAAUITwBAAAAEARwhMAAAAARQhPAAAAABQhPAEAAABQhPAEAAAAQBHCEwAAAABFCE8AAAAAFCE8AQAAAFCE8AQAAABAEe2tHgAA/JfBwcE89thjt94eGxvLqVOncvHixfT09LRwGQAAfHzCEwBMIb29vXnzzTdvvb1z5868/vrrohMAANOSW+0AYAp76aWX8u1vf7vVMwAA4P9EeAKAKero0aO5cuVKnnjiiVZPAQCA/xPhCQCmoGazmRdffDFbt25Ne7s74wEAmJ58JQsAU9D58+fzu9/9LocOHUqz2UylUmn1JAAA+Nhc8QQAU9DBgwfz4IMPpl6v55133snExESrJwEAwMcmPAHAFPSrX/0q3/ve97JixYqMj4+nv78/o6OjrZ4FAAAfi1vtAGAKOnr06K2fr1mzJmfPns3p06ezePHi9PX1ufUOAIBpwRVPADDFzZo1K6tWrUpfX1/ef//9nDlzxq13AABMC8ITAEwDlUolS5YsyYoVKzI2NpaTJ09mbGys1bMAAOB/JTwBwDRSq9Xy6U9/Ou3t7Tl16lQGBgbSbDZbPQsAAP4l4QkAppmOjo6sXr06vb29uXDhQs6cOZObN2+2ehYAAPwPwhMATEOVSiVLly7N/fffn9HR0fT397v1DgCAKUd4AoBprLu7O2vWrEl7e3tOnz6dwcFBt94BADBlCE8AMM11dHRk1apV6enpyXvvvZezZ8+69Q4AgClBeAKAe0C1Ws3SpUuzfPnyXL16NSdPnsz4+HirZwEAMMMJTwBwD6nX61mzZk2q1WpOnTqVy5cv33br3aZNm7J+/fps2LAhjz76aI4fP97CtQAA3OvaWz0AAPhkffjUuwsXLuT8+fMZHR3NsmXL0tbWlj179mT+/PlJkr1792bbtm05ceJEawcDAHDPcsUTANyDqtVqli1bluXLl6fRaOTkyZO5du3areiUJMPDw6lUKq0bCQDAPc8VTwBwD6vX6+nq6srZs2dz8uTJLF26NN///vdz5MiRJMmBAwdavBAAgHtZpXkHz1weGRlJvV7P8PBwuru778YuAOATNDk5mffeey9XrlzJ4sWLs3DhwuzatSu7d+8WnwAA+NjutBUJTwAwgwwNDWXOnDnp6OhIksyePTvvvvtuent7W7wMAIDp5E5bkTOeAGCGGBoaytjY2K3otG/fvvT29qanp6fFywAAuFc54wkAZojh4eFs2bIl4+PjqVarWbhwYfbv3++AcQAAihGeAGCGWLFiRd54441WzwAAYAZxqx0AAAAARQhPAAAAABQhPAEAAABQhPAEAAAAQBHCEwAAAABFCE8AAAAAFCE8AQAAAFCE8AQAAABAEcITAAAAd+TAgQN5+OGHs2HDhjz44IPZtWtXqycBU1yl2Ww2P+pFIyMjqdfrGR4eTnd3993YBQAAwBTSbDbT29ub1157LevXr8/bb7+dtWvX5tKlS6nVaq2eB9xld9qKXPEEAADAHalUKhkaGkryz286e3t709nZ2dpRwJTW3uoBAAAATH2VSiW7d+/O17/+9cydOzdXrlzJq6++mo6OjlZPA6YwVzwBAADwkSYmJrJjx47s3r07p0+fzuHDh/Otb30rAwMDrZ4GTGHCEwAAAP+rZrOZv/3tbzlz5kwWL16coaGhfP7zn8+nPvWpHD9+vNXzgCnMrXYAAAD8S81mM8PDwxkcHMzNmzdz8eLFNBqNzJ8/P/39/Tl58mQeeOCBVs8EpjDhCQAAgNvcvHkzly9fzuDgYCYmJjJ37tx87nOfy4svvpjt27enWq1mcnIyL7zwQu6///5WzwWmsEqz2Wx+1Ivu9BF5AAAATF/Xr1/P4OBgrly5kiSp1+vp6+tLV1dXi5cBU82dtiJXPAEAAMxgzWYzo6OjGRwcTKPRSFtbW/r6+tLb25v2dt8yAv8/PosAAADMQJOTk7fOb7p27Vo6OzuzbNmyzJ8/P9Wq51ABnwzhCQAAYAaZmJjI5cuXc/ny5UxMTGTevHlZuXJl5s6dm0ql0up5wD1GxgYAAJiGNm3alPXr12fDhg159NFHc/z48STJM888k5UrV6ZSqeTNN9+89fpr167l3Llzeeutt3Lp0qXUarWsWbMmK1euzLx580QnoAhXPAEAAExDe/bsyfz585Mke/fuzbZt23LixIl84xvfyA9/+MM88sgjaTabuXr1agYGBnL16tW0t7dn4cKF6enpcX4TcFf4TAMAADANfRidkmR4ePjWFUsbN27M5ORkJicnc+bMmcyaNStdXV257777Uq/Xnd8E3FXCEwAAwDS1devWHDlyJEly4MCBTExMZHBwMJcvX87Nmzcza9Ys5zcBLSV1AwAATFMvv/xyzp49mx07duTZZ5/NpUuXMjAwkHq9nvb29ixbtsz5TUBLCU8AAADT3FNPPZUjR46kWq1m7dq1WbZsmdgETAnCEwAAwDQzNDSU8+fP33p737596e3tzaJFi9LW1tbCZQC3c8YTAADANDM8PJwtW7ZkfHw81Wo1CxcuzP79+1OpVPLd7343f/zjH3PhwoV89atfTa1WS39/f6snAzNUpdlsNj/qRSMjI6nX6xkeHk53d/fd2AUAAADAFHWnrcitdgAAAAAUITwBAAAAUITwBAAAAEARwhMAAAAARQhPAAAAABQhPAEAAABQhPAEAAAAQBHCEwAAAABFCE8AAAAAFCE8AQAAAFCE8AQAAABAEcITAAAAAEUITwAAAAAUITwBAAAAUITwBAAAAEARwhMAAAAARQhPAAAAABQhPAEAAABQhPAEAAAAQBHCEwAAAABFCE8AAAAAFCE8AQAAAFCE8AQAAABAEcITAAAAAEUITwAAAAAUITwBAAAAUITwBAAAAEARwhMAAAAARQhPAABMW9euXcvmzZvz2c9+Ng899FC+8pWvpL+/P0ny3HPP5YEHHki1Ws2+fftaOxQAZijhCQCAaW379u156623cuLEiTz55JN5+umnkyRf/vKXc/DgwWzcuLHFCwFg5hKeAACYtrq6uvL444+nUqkkSb74xS/m7bffTpJ84QtfyOrVq1u4DgAQngAAuGf89Kc/zZNPPtnqGQDAf2pv9QAAAPgkPPfcc+nv78/hw4czNjaWq1evpru7u9WzAGBGc8UTAADT3s6dO/Pqq6/m4MGDmTNnTq5fv56BgYH09/dnbGwsly9fzujoaJrNZqunAsCM4oonAACmtZ/85Cd55ZVX8pe//CXz589PkixYsCD1ej2jo6Npb2/P2NhYTp8+nba2ttRqtdRqtcybNy9tbW23/VnPPPNMfv/73+edd97J8ePHs2HDhgwODuaxxx679ZqxsbGcOnUqFy9eTE9Pz938UAFg2qk07+C/fUZGRlKv1zM8POxyZQAApox33303y5cvz+rVq1Or1ZIknZ2dOXbsWHbs2JFf/OIXuXTpUmq1Wjo7O3Po0KF0dHTk+vXrqVQqmTt3brq7u1Or1TJr1qz89a9/zerVq/PII49k37592bBhw//4O3fu3JnXX389f/jDH+7yRwsAU8edtiLhCQCAGefGjRsZGRlJo9HI6OhokmT27Nmp1Wrp7u7O2rVr/214WrduXZ5//vls3rz57o4GgCnkTluRW+0AAJhxOjo60tfXl76+vkxMTKTRaKTRaGRgYCAXL17MxMRELl26lNHR0cyZMyeVSiVJcvTo0Vy5ciVPPPFEiz8CAJgehCcAAGa09vb2LFiwIAsWLMjk5GRGR0dTqVTSaDRy+vTpdHZ25jOf+UyS5KWXXsrWrVvT3u7LaAC4E/7FBACA5FZ0GhkZyeTkZCYnJ1OtVjNnzpwkydWrV7Nnz578/e9/b/FSAJg+hCcAAGasmzdvptFoZGRkJFevXs3k5GQ6OjpSrVZz3333Zd26dbdus9u9e3ceeuihrF27tsWrAWD6EJ4AAJhRPvjgg4yMjGRkZOS2g8X7+vryox/9KH/6059y4cKFbN68ObVaLf39/Un+eZvdd77znVZOB4Bpx1PtAAC4pzWbzVy/fv3WU+zGx8eTJHPnzk13d3dqtVo6OjpavBIAphdPtQMAYMZqNpsZHx+/dWXTjRs3Uq1WM2/evPT29qZWq6Wtra3VMwHgnic8AQBwT/jvh4M3Go1MTEykra0t3d3dWbJkSebNm5dqtdrqmQAwowhPAAC01KZNm3LhwoVUq9XUarX87Gc/y7p16/LNb34z//jHPzJ79uwsWrQoP//5z7NmzZrbfu+Hh4N/+GNycjKzZs1KvV5Pd3d35syZc+twcADg7hOeAABoqT179mT+/PlJkr1792bbtm05duxYtm/fnq997WupVCp54YUX8vTTT+e1117LBx98cOtJdKOjo2k2m+nq6kpfX1+6u7vT2dkpNgHAFCE8AQDQUh9GpyQZHh5OpVJJV1dXHn/88Vu//vDDD+fHP/5xTp48edvh4EuWLHE4OABMYcITAAAtt3Xr1hw5ciRJcuDAgdsOB280Gnn++eezcePGzJo1Kz09PanVamlv96UsAEx1/rUGAKDlXn755STJrl278uyzz+Y3v/lNzp07l7a2tvz617/O+++/n1deeSXz5s1r8VIA4OPwWA8AAKaMp556KkeOHMmNGzeyatWq7N+/P4cPH86hQ4dEJwCYhoQnAABaZmhoKOfPn7/19r59+9Lb25tFixbll7/8ZX7729/mz3/+823nQAEA04db7QAAaJnh4eFs2bIl4+PjqVarWbhwYfbv359z587lBz/4QVavXp0vfelLSZLOzs4cO3asxYsBgI9DeAIAoGVWrFiRN95441++r9ls3uU1AMAnza12AAAAABQhPAEAAABQhPAEAAAAQBHCEwAAAABFCE8AAAAAFCE8AQAAAFCE8AQAAABAEcITAAAAAEUITwAAAAAUITwBAAAAUITwBAAAAEARwhMAAAAARQhPAAAAABQhPAEAAABQhPAEAAAAQBHCEwAAAABFCE8AAAAAFCE8AQAAAFCE8AQAAABAEcITAAAAAEUITwAAAAAUITwBAAAAUITwBAAAAEARwhMAAAAARQhPAAAAABQhPAEAAABQhPAEAAAAQBHCEwAAAABFCE8AAAAAFCE8AQAAAFCE8AQAAABAEcITAAAAAEUITwAAAAAUITwBAAAAUITwBAAAAEARwhMAAAAARQhPAAAAABQhPAEAAABQhPAEAAAAQBHCEwAAAABFCE8AAAAAFCE8AQAAAFCE8AQAAABAEcITAAAAAEUITwAAAAAUITwBAAAAUITwBAAAAEARwhMAAAAARQhPAAAAABQhPAEAAABQhPAEAAAAQBHCEwAAAABFCE8AAAAAFCE8AQAAAFCE8AQAAABAEcITAAAAAEUITwAAAAAUITwBAAAAUITwBAAAAEARwhMAAAAARQhPAAAAABQhPAEAAABQhPAEAAAAQBHCEwAAAABFCE8AAAAAFCE8AQAAAFCE8AQAAABAEcITAAAAAEUITwAAAAAUITwBAAAAUITwBAAAAEARwhMAAAAARQhPAAAAABQhPAEAAABQhPAEAAAAQBHCEwAAAABFCE8AAAAAFCE8AQAAAFCE8AQAAABAEcITAAAAAEUITwAAAAAUITwBAAAAUITwBAAAAEARwhMAAAAARQhPAAAAABQhPAEAAABQhPAEAAAAQBHCEwAAAABFCE8AAAAAFCE8AQAAAFCE8AQAAABAEcITAAAAAEUITwAAAAAUITwBAAAAUITwBAAAAEAR7XfyomazmSQZGRkpOgYAAACAqe/DRvRhM/p37ig8NRqNJMny5cv/n7MAAAAAuFc0Go3U6/V/+/5K86PSVJLJycmcP38+tVotlUrlEx0IAAAAwPTSbDbTaDSybNmyVKv//iSnOwpPAAAAAPBxOVwcAAAAgCKEJwAAAACKEJ4AAAAAKEJ4AgAAAKAI4QkAAACAIoQnAAAAAIoQngAAAAAo4j8ATxCQ0qS6FHYAAAAASUVORK5CYII=",
      "text/plain": [
       "<Figure size 1500x1500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "similarity_matrix_truncated = similarity_matrix_top_n(n=3)\n",
    "plot_matrix(similarity_matrix_truncated)\n",
    "plot_graph(similarity_matrix_truncated)\n",
    "\n",
    "\n",
    "similarity_matrix_truncated = similarity_matrix_top_n(n=2)\n",
    "plot_matrix(similarity_matrix_truncated)\n",
    "plot_graph(similarity_matrix_truncated)\n",
    "\n",
    "\n",
    "similarity_matrix_truncated = similarity_matrix_top_n(n=1)\n",
    "plot_matrix(similarity_matrix_truncated)\n",
    "plot_graph(similarity_matrix_truncated)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "8152479b",
   "metadata": {},
   "source": [
    "Instead of a linked plot, this can be rendered as a list of clusters:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "235496c5",
   "metadata": {},
   "outputs": [],
   "source": [
    "def matrix2clusters(m):\n",
    "    connected_subgraphs = set([frozenset([i]) for i in list(range(len(m)))])\n",
    "    def update_subgraphs(i, j):\n",
    "        join_targets = [g for g in connected_subgraphs if i in g or j in g]\n",
    "        new_subgraph = frozenset({i for g in join_targets for i in g})\n",
    "        for g in join_targets:\n",
    "            connected_subgraphs.remove(g)\n",
    "        connected_subgraphs.add(new_subgraph)\n",
    "    for i in range(len(m)):\n",
    "        for j in range(len(m)):\n",
    "            if m[i][j] > 0:\n",
    "                update_subgraphs(i, j)\n",
    "    return connected_subgraphs\n",
    "\n",
    "def print_clusters(connected_subgraphs):\n",
    "    for g in connected_subgraphs:\n",
    "        if len(g) == 1:\n",
    "            for i in g:\n",
    "                print(f'Singleton: {idx_lookup[i]}')\n",
    "    for idx, g in enumerate(connected_subgraphs):\n",
    "        if len(g) > 1:\n",
    "            print(f'\\nCluster {idx}:')\n",
    "            for i in g:\n",
    "                print(f\"- {initiatives[i]['Title']} (#{i})\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "cd12ab56-df85-41e4-b7d0-4ccfb0916b4b",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "Cluster 0:\n",
      "- Maison d’Éducation à l’Alimentation Durable supplies the community with organic food and educates future generations (#23)\n",
      "- Penca de Sábila Corporation improves the lives of rural farmers and connects them with urban communities (#15)\n",
      "\n",
      "Cluster 1:\n",
      "- Rainwater harvesting in Mexico City’s marginalized neighborhoods (#3)\n",
      "- No Bicycle, No Planet (#7)\n",
      "\n",
      "Cluster 2:\n",
      "- Building the movement for agroecological urban gardening to ensure food sovereignty (#2)\n",
      "- Transforming a century-old, oil company town (#38)\n",
      "- Bronx Cooperative Development Initiative (#30)\n",
      "- Power Shift supports farmers with clean energy (#40)\n",
      "- Linking urban consumers to rural producers (#9)\n",
      "- CaSanAT is a micro-utopia serving as a space for exchange, learning and resistance (#14)\n",
      "\n",
      "Cluster 3:\n",
      "- Barcelona en Comú (#32)\n",
      "- Barcelona Energia (#17)\n",
      "- Energy transition built on democracy, renewables and jobs (#21)\n",
      "\n",
      "Cluster 4:\n",
      "- Integrated social reconstruction homes in Isthmus of Tehuantepec (#18)\n",
      "- Dispossessed community finances and builds affordable homes (#36)\n",
      "- Entrepatios Madrid (#4)\n",
      "- Social, cultural, and economic empowerment in Bukit Duri Urban Kampung reconstruction (#5)\n",
      "- Women Workers Association builds tens of thousands of homes (#22)\n",
      "- Relocation of road construction project affected slum dwellers (#10)\n",
      "\n",
      "Cluster 5:\n",
      "- Women for Food Sovereignty in Cochabamba (#8)\n",
      "- Cargonomia Community Cargobike and Local Food Distribution Center (#31)\n",
      "\n",
      "Cluster 6:\n",
      "- The municipality of Burgas pioneers energy efficient housing in Bulgaria (#13)\n",
      "- Waste management innovation for food security and climate change mitigation (#19)\n",
      "- PENGON empowers Palestinian women as sustainable energy leaders (#29)\n",
      "- 100% renewable energy for Gaza (#6)\n",
      "\n",
      "Cluster 7:\n",
      "- EnergÉtica Cooperative challenges energy poverty by supplying clean energy (#25)\n",
      "- The Cloughjordan Ecovillage models the transition to a low-carbon society (#26)\n",
      "- Earthworker Cooperative (#33)\n",
      "\n",
      "Cluster 8:\n",
      "- Keep water in public hands! (#0)\n",
      "- Valencia walks towards the future: the cycling revolution in Valencia (#1)\n",
      "- Citizen participation and solidarity tariffs in remunicipalized water utility (#35)\n",
      "- Refusing to Give Up: Civil Society’s Movement against Water Privatization in Jakarta (#37)\n",
      "- Million Wells Bengaluru (#11)\n",
      "- Agua Para Todos tackles water privatization and the impact of climate change (#12)\n",
      "- ‘Our Water Our Right’ campaign mobilization against water privatisation (#16)\n",
      "- Community-led response to water pollution crisis (#20)\n",
      "- Observatorio del Agua de Terrassa ensures a democratic governance of water (#24)\n",
      "- Eau de Paris delivers cheaper, cleaner water (#28)\n",
      "\n",
      "Cluster 9:\n",
      "- Citizen's Initiative Referendum against forced demolitions of social housing (#34)\n",
      "- The Jackson Just Transition Plan is transforming Jackson into a city of equity, solidarity and mutual aid (#27)\n",
      "- People power drives social and ecological transition (#39)\n"
     ]
    }
   ],
   "source": [
    "similarity_clusters = matrix2clusters(similarity_matrix_truncated)\n",
    "print_clusters(similarity_clusters)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "9940e93e",
   "metadata": {},
   "source": [
    "What emerges is a variety of clusters -- which capture a heterogenity of characteristics. For example, cluster 8 contains two Barcelona related initiatives, whereas the last cluster, number 12, seems to capture housing/urban related project."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "05e6d518-9de5-463b-a9a2-244aa7168228",
   "metadata": {},
   "outputs": [],
   "source": [
    "\"\"\"Prepare a list of colors for each initiative based on their cluster. This can be used in the next step.\"\"\"\n",
    "colors = np.zeros(len(initiatives))\n",
    "for cluster, entries in enumerate(similarity_clusters):\n",
    "    for entry in entries:\n",
    "        colors[entry-1] = cluster"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "fa10d87a-4435-4e8c-bde1-96861d4401ad",
   "metadata": {},
   "source": [
    "## 4. Rendering embedding space: alternative maps of movement  <a id=\"rendering\"></a>"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "065ed897-aa53-409f-b3ac-f2fc357c9a45",
   "metadata": {},
   "source": [
    "It can be hard to make sense of the mathematical projections of the initiatives. The matrix rendering above is basically illegible, or at least hard to navigate. The network renderings are much more intuitive, but really only start from the calculated similarities. They are 'force' graphs, that discard any sense of the configuration of the embedding space. This becomes even more apparent when rendering it into a 2D.  \n",
    "\n",
    "One way to do this is to reduce the 20 dimensions into only 2 using PCA. If we run a PCA on the 41 embedded initiatives and plot the first 2 dimensions, it is clear that the clusters that emerged in the previous step (as indicated with the color of the point) is really different from their placement in this kind of visualisation."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "ecd004a4-3c05-4b5d-b4f8-5bf426d4d561",
   "metadata": {},
   "outputs": [],
   "source": [
    "pca = PCA(n_components=2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "bf77c5ce-8cc3-4ba5-adb0-847a5d3052ee",
   "metadata": {},
   "outputs": [],
   "source": [
    "pca_projected = pca.fit_transform(vectors)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "1a0fdb3f-24ba-4408-884b-d2ae5e41e41a",
   "metadata": {},
   "outputs": [
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      "text/plain": [
       "<Figure size 1400x1400 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "f = plt.figure(figsize=(14, 14))\n",
    "ax = plt.subplot(aspect='equal')\n",
    "ax.scatter(pca_projected[:,0],pca_projected[:,1], c=colors)\n",
    "\n",
    "\n",
    "for idx, ini in enumerate(initiatives):\n",
    "    x, y = pca_projected[idx]\n",
    "    # add label to a point\n",
    "    ax.text(x, y, ini['Title'][:18]+'...', fontsize=8, alpha=.5)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "3efa87f4",
   "metadata": {},
   "source": [
    "Another algorithm that can be used to transform the space is t-SNE, which unlike PCA is not deterministic. I.e. it tends to produce different output on each run. This algorithm is optimised to find render similar items close together and increase the distance between less similar items; thus providing _some_ similar clusters. Loooking at the output here however, it seems not very successful at that with the small dataset used here. Nevertheless, when looking at the image below, some clusters we saw earlier reappear. For example, the top of the image contains water related projects, and some Citizen participatory initiatives appear together in the center of the mapping."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "f2b139e7-2781-4a03-acba-01e51f151276",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Random state.\n",
    "RS = 20150101\n",
    "tsne_projected = TSNE(random_state=RS, perplexity=30).fit_transform(np.vstack(vectors))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "fcedc397",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1400x1400 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "f = plt.figure(figsize=(14,14))\n",
    "ax = plt.subplot(aspect='equal')\n",
    "ax.scatter(tsne_projected[:,0], tsne_projected[:,1], c=colors)\n",
    "ax.axis('off')\n",
    "ax.axis('tight')\n",
    "\n",
    "for idx, ini in enumerate(initiatives):\n",
    "    x, y = tsne_projected[idx]\n",
    "    # add label to a point\n",
    "    ax.text(x, y, ini['Title'][:15]+'...', fontsize=8, alpha=.5)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "70b3afe8",
   "metadata": {},
   "source": [
    "## 5. A situated map  <a id=\"map\"></a>"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c56057b4",
   "metadata": {},
   "source": [
    "What if we rethink a single rendition of distance and reframe it instead as a situated similarity for each project? What if we draw a 'map' the projects based on that? Such a map is open for any possible coalition for each initiative."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "fbe09619",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Written 41 initiatives to similarities.json.\n"
     ]
    }
   ],
   "source": [
    "sim = np.clip(similarity_matrix, 0, 1)\n",
    "\n",
    "import json\n",
    "\n",
    "# to give a distribution on the radius, let's try to reuse the pca's first component:\n",
    "pca1 = pca_projected[:,0].tolist()\n",
    "pca1_normalised = (pca1 - np.min(pca1)) / (np.max(pca1) - np.min(pca1))\n",
    "\n",
    "data = {\n",
    "    \"initiatives\": initiatives,\n",
    "    'similarities': sim.tolist(),\n",
    "    'pca_1': pca1_normalised.tolist()\n",
    "}\n",
    "\n",
    "with open(\"./similarities.json\", \"w\") as fp:\n",
    "    json.dump(data, fp)\n",
    "\n",
    "print(f\"Written {len(initiatives)} initiatives to similarities.json.\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2b2fd454",
   "metadata": {},
   "source": [
    "Now explore the [Similarities map](similarities_map.html)."
   ]
  }
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