diff --git a/machine_time_waste/machine_time_waste_jobs.py b/machine_time_waste/machine_time_waste_jobs.py
new file mode 100755
index 00000000..93213080
--- /dev/null
+++ b/machine_time_waste/machine_time_waste_jobs.py
@@ -0,0 +1,125 @@
+#!/usr/bin/env python3
+# coding: utf-8
+
+# # Temporal impact: machine time waste
+
+# This analysis is meant to analyse the time spend by instance events doing submission, queueing, and execution. This
+# preliminary script sums the total time spent by instance executions to transition from each event type to another.
+# Additionaly, time sums are partitioned by the last termination state of the instance they belong (i.e. the last
+# 4<=x<=8 event type for that instance). 
+# Please note that events with either missing time, type, instance_index or collection_id are ignored. Total number of
+# instance events in the trace and filtered number of events are saved in the output. 
+
+# ## Data representation
+# Total and filtered totals mentioned before are under "total" and "filtered" attributes in the root of the generated
+# JSON object. The "data" atrribute is a list of pairs of final instance termination states and the corresponding list
+# of time totals per each transition. Each transition total is represented in the form of "x-y" where x is the last
+# event type prior to the transition and "y" is the new event detected. Times are calculated by summing all event times
+# "y" subtracting the nearest event of type "x" for each instance. If an event "x" is repeated multiple times
+# immediately after an event of the same type, only the first event in chronological order is considered. If however
+# after multiple repetitions of the event "x" the trace for that instance terminates, an "x-x" time sum is registered by
+# computing the difference between the last and the first event of "x" type. Times are represented in microseconds.
+
+import json
+import pandas
+from IPython import display
+import findspark
+findspark.init()
+import pyspark
+import pyspark.sql
+import sys
+
+from pyspark.sql.functions import lit 
+from pyspark.sql.types import ByteType
+
+if len(sys.argv) != 2 or len(sys.argv[1]) != 1:
+  print("usage: " + sys.argv[0] + " {cluster}", file=sys.stderr)
+  sys.exit(1)
+
+cluster=sys.argv[1]
+
+spark = pyspark.sql.SparkSession.builder \
+  .appName("machine_time_waste") \
+  .config("spark.local.dir", "/run/tmpfiles.d/spark") \
+  .config("spark.driver.memory", "124g") \
+  .getOrCreate()
+sc = spark.sparkContext
+
+#df = spark.read.json("/home/claudio/google_2019/instance_events/" + cluster + "/" + cluster + "_test.json") \
+df = spark.read.json("/home/claudio/google_2019/instance_events/" + cluster + "/" + cluster + "_instance_events*.json.gz")
+
+try:
+  df["collection_type"] = df["collection_type"].cast(ByteType())
+except:
+  df = df.withColumn("collection_type", lit(None).cast(ByteType()))
+
+df.printSchema()
+df.show()
+
+total = sc.accumulator(0)
+filtered = sc.accumulator(1)
+
+
+def for_each_task(ts):
+  ts = sorted(ts, key=lambda x: x["time"])
+  last_term = None
+  prev = None
+  tr = {}
+
+  for i,t in enumerate(ts):
+    if prev is not None and t["type"] == prev["type"]: # remove useless transitions
+      if i == len(ts) - 1: # if last
+        tr[str(prev["type"]) + "-" + str(t["type"])] = t["time"] - prev["time"] # keep "loops" if last
+      else:      
+        continue
+    if t["type"] >= 4 and t["type"] <= 8:
+      last_term = t["type"]
+    if prev is not None:
+      tr[str(prev["type"]) + "-" + str(t["type"])] = t["time"] - prev["time"]
+    prev = t
+  return {"last_term": last_term, 'tr': tr}
+
+
+def sum_values(ds):
+  dsum = {}
+  for dt in ds:
+    d = dt["tr"]
+    for key in d:
+      if key not in dsum:
+        dsum[key] = d[key]
+      else:
+        dsum[key] += d[key]
+  return dsum
+
+
+def count_total(x):
+  total.add(1)
+  return x
+
+
+def cleanup(x):
+  filtered.add(1)
+  return {
+    "time": int(x.time),
+    "type": 0 if x.type is None else int(x.type),
+    "id": x.collection_id + "-" + x.instance_index,
+  }
+
+
+r2 = df.rdd \
+  .filter(lambda x: x.collection_type is None or x.collection_type == 0) \
+  .map(count_total) \
+  .filter(lambda x: x.type is not None and x.time is not None
+                    and x.instance_index is not None and x.collection_id is not None) \
+  .map(cleanup) \
+  .groupBy(lambda x: x["id"]) \
+  .mapValues(for_each_task) \
+  .map(lambda x: x[1]) \
+  .groupBy(lambda x: x["last_term"]) \
+  .mapValues(sum_values) \
+  .collect()
+
+with open(cluster + "_state_changes_jobs.json", "w") as out:
+  json.dump({"filtered": filtered.value, "total": total.value, "data": r2}, out)
+
+# vim: set ts=2 sw=2 et tw=120:
diff --git a/machine_time_waste/statuses.dio b/machine_time_waste/statuses.dio
index 63fcc39e..97673516 100644
--- a/machine_time_waste/statuses.dio
+++ b/machine_time_waste/statuses.dio
@@ -1 +1 @@
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\ No newline at end of file
diff --git a/machine_time_waste/statuses_total_time.ipynb b/machine_time_waste/statuses_total_time.ipynb
index ffcb135d..d6908ac4 100644
--- a/machine_time_waste/statuses_total_time.ipynb
+++ b/machine_time_waste/statuses_total_time.ipynb
@@ -2,7 +2,7 @@
  "cells": [
   {
    "cell_type": "markdown",
-   "id": "spread-hampshire",
+   "id": "instructional-perfume",
    "metadata": {},
    "source": [
     "# Statuses total time\n",
@@ -13,7 +13,7 @@
   {
    "cell_type": "code",
    "execution_count": 1,
-   "id": "promotional-nashville",
+   "id": "indirect-galaxy",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -28,7 +28,7 @@
   {
    "cell_type": "code",
    "execution_count": 2,
-   "id": "demanding-policy",
+   "id": "phantom-vaccine",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -49,8 +49,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 78,
-   "id": "stable-grade",
+   "execution_count": 3,
+   "id": "reported-cabinet",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -117,7 +117,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "hourly-prince",
+   "id": "generous-spencer",
    "metadata": {},
    "source": [
     "## Graph 1: Absolute total time spent per status per \"last termination\" type"
@@ -125,8 +125,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 82,
-   "id": "pressed-remainder",
+   "execution_count": 4,
+   "id": "immediate-amino",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -142,7 +142,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "revolutionary-clarity",
+   "id": "painful-enhancement",
    "metadata": {},
    "source": [
     "## Graph 2: Relative total time spent per status per \"last termination\" type\n",
@@ -152,8 +152,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 83,
-   "id": "wicked-newsletter",
+   "execution_count": 5,
+   "id": "oriented-morning",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -172,18 +172,10 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 84,
-   "id": "bridal-mention",
+   "execution_count": 8,
+   "id": "passing-african",
    "metadata": {},
    "outputs": [
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "/home/claudio/python-venv/lib/python3.6/site-packages/ipykernel_launcher.py:9: RuntimeWarning: More than 20 figures have been opened. Figures created through the pyplot interface (`matplotlib.pyplot.figure`) are retained until explicitly closed and may consume too much memory. (To control this warning, see the rcParam `figure.max_open_warning`).\n",
-      "  if __name__ == '__main__':\n"
-     ]
-    },
     {
      "data": {
       "image/png": 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\n",
@@ -204,16 +196,6 @@
      "metadata": {},
      "output_type": "display_data"
     },
-    {
-     "data": {
-      "image/png": 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\n",
-      "text/plain": [
-       "<Figure size 432x288 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
     {
      "data": {
       "image/png": 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s4uy30vyeNEWSz7y2ur8dZWVlKCoqajL5SIOHhweOHz8OoVAIY2PjeuuT5LvclCYvyaqpqSE4OBgrV67ExYsXUV5eDj6fj2vXruGbb76pN33//v1RWVmJq1evgs/nY/v27SIPysTFxaGgoAAcDoc9E+FwONDU1ASHwxG5Se/j44Ndu3bh6dOnAKpvjp87d65FlQOA6OholJeX4+nTp4iJiYGjo2Oz82RnZ+N///sfduzYgdjYWMTGxiIuLg6zZs1CXFwcO11BQQEOHjwIPp+Pc+fO4fnz57C2tkZeXh4uXryIsrIyyMvLQ1lZmT2ScXZ2xoEDB5CamorS0lJERUVh4sSJDX5hBg4ciLNnz4LP5+PBgwe4cOECO+5Nt1lD8zcVW0PTl5aWQllZGWpqasjOzsbu3bub3bY1tLS0mk0y4tLR0cGoUaOwbt06vH79GlVVVXj58iVu3brV4PSN7Yc1GttnPvroI3z33XfsD0NBQQEuXrwoVoxaWlpIT09v9snNH374AVlZWSgqKsKOHTvYdU+aNAk//fQT7t27B4ZhUFZWhqtXr7KXo5pz//593Lt3D3w+H0pKSpCXl2frXPezKC8vh4yMDHsl5eTJk+w+VTN9dna2yHfbyMgIv/zyC8rLy/HPP//gxIkTYq27IadPn8azZ89QXl6OTZs2wd7eHlwuF66urrhy5QquX78OoVCIyspKJCYm1jvQfBOlpaXgcrnQ1NSEQCDA1q1bRbZxS37D6qq7D7R0v21NknzmtTk7OyMmJgbJycng8XjYuHEjhgwZwp5dSoO2tna97Ttu3DgkJSXh4MGDcHd3rzePtL/LzR6Oz5gxA9ra2oiOjsbnn38OFRUVDBo0iH2arjY1NTWEh4cjLCwMQqEQM2fOFLmkcP36daxbtw4VFRXQ19dHVFQUe2ltzpw5+OijjyAQCLB7926MHz8epaWl+Oyzz5Ceng41NTWMHDkSEydObLZStVlYWGD8+PFgGAYzZsxgL3/cvn0bs2bNqvc0G1D9pTAyMhK5VAJU3yPat28fe1o/ZMgQ/PPPPxg+fDi0tbWxefNmdO/eHTk5Odi/fz9CQkIgIyMDIyMjLF++HADg5eWF7Oxs+Pn5obKyElZWVvj6668bjH3hwoX47LPPYGFhAXNzc7i4uLBPcikpKb3RNmto/qZia2j6+fPnIyQkBGZmZujbty/c3Nywf/9+sT4Xb29vLFiwAGZmZrCwsEB0dLRY8zXmm2++wYYNG+Do6IjS0lL06dMHs2bNanDapvZDoPF9Ztq0aWxZTk4OtLS04OjoiHHjxjUbn4ODA06fPg1LS0v07t0bp06danA6Z2dndvl2dnbsGeWHH36IVatWYeXKlfjnn3+gqKgIU1NT9onF5pSWlmLNmjVIS0uDvLw8rKys8PHHHwNo+LOYMWMGfHx8ICMjA3d3d5iamrLLGj58ON577z1YWVlBRkYGiYmJCAgIwIMHDzBy5EgYGhrCxcWFfTqzqXU3xM3NDaGhofj7779hYWHBfnf09PQQHR2N9evXY/HixeBwOBgyZAg7Xhpqnla1t7eHsrIyAgICRC7rteQ3rO79zYb2gZbst63pvffea/FnXtvIkSOxYMECfPrppygpKYGJiUmL3u0Vx/z58xEaGoqKigqsXLkSjo6OUFRUxIQJE3DmzBmMHz++3jzS/i7LMAx1IE0IUH1Z1c7ODg8fPpTag24tYWtri4iICIwcObLN191R+Pv7w9XVFZMmTWrvUMhbYuvWrXjx4gU2bNjAlrXWd5nakiWEEPJWKioqwsmTJzFlypQ2WR8lTEIIIW+dY8eOYezYsRg9ejTMzc3bZJ1v1SXZoqIizJgxAykpKey9Rz6fj88//xwFBQWwtrbGzJkz2zlKQgghndFbdYapoqKCvXv3YujQoWzZL7/8AhMTExw6dAgPHz4UeY2FEEIIkZa2f7LhDcjJyUFDQ0OkLC0tDR9++CEAwMDAAA8ePIC1tXWzy6qoqMBff/2FHj16sC/DE0IIaZxQKERubi4GDx7cZAtrnVW7JczIyEhcuHAB6enpiI+Px4ABAwAAKSkpCA0NRVFRETQ0NBAZGYl+/fo1upz+/fvj1q1bGD58OG7fvt3gtCUlJfUaBX/w4EGjL04TQghp3JEjR8R+pakzabeEaWdnh2nTprGt0NcIDw+Hr68v3NzcEBcXh2XLluHgwYONLsfW1hY3btzA9OnToampKdJsVI0DBw5g69atDc5/5MiRBpufIoQQIiorKwtTp04VaeauK2m3hNnQ0Ul+fj6SkpKwb98+ANUvca9atUqk/da6uFwu21VMSEhIg40hBwQEwMPDQ6Ss5oPv2bOnVFujIISQzq6r3sbqUPcwMzMzoaury34YXC4XOjo6yMzMZBNmYGAgkpOTERgYiCVLlkBVVZVtUScgIABKSkr1lquuri7VRsEJIYR0PR0qYYqjoabXDh061PaBEEII6VI6VMLU09NDdnY2hEIhuFwuhEIhcnJypNJlD+m6qqqqkJaW9sbdCZHGqaiooHfv3k02qk7I265DJUwtLS0YGRkhISEBbm5uSEhIgJGRUaP3LwkRR15eHmRkZGBoaEg/6K2gqqoK6enpyMvLE7v7PELeRu326xEREYExY8YgKysL06dPh5OTEwBg+fLlOHz4MOzt7XH48GGsWLGivUIknURNv3yULFsHh8OBrq4uiouL2zsUQlpVu51hhoWFISwsrF65gYEBjh8/3g4Rkc5KKBRCTk6uvcPo1OTk5CAQCNo7DEJaFR1yky6hrXqu76po+5KuoEPdwySko8vIyICTkxNu377dZd9F64zu3riA4oJcdribZg8YW9m3Y0SkI6IzTEKaYWtri99//x0AoK+vjzt37rRpsgwNDZV67/VEVHFBLgqy09m/2smTkBqUMAkhhBAxUMIkpAlffPEFMjIyMGfOHJiYmOD777+HoaEh+4CLv78/oqKi4OPjAxMTE8yZMweFhYVYvHgxTE1N4eXlhbS0NHZ5z58/x/Tp02FhYQF7e3ucPXu2yfUfPXoU8fHx2LNnD7v83bt349NPPxWZLiIiAhEREWxM3377Lby9vWFqaoqgoCAUFRWx0969exc+Pj4wMzODq6srEhMTpbS1COncKGES0oT169dDX18fO3bswJ07dzBx4sR605w9exbffPMNfv31V7x8+RI+Pj7w8vLCrVu3YGBggG3btgEAysrKMGPGDDg7O+P3339HVFQUVqxYgWfPnjW6/ilTpsDFxQUff/wx7ty5gx07dsDV1RXXr19ne+ARCAQ4c+YM3N3d2fliY2OxZs0a3LhxA7Kysmwyzc7OxieffIKgoCDcunULISEhCA4Opn5kCREDJUxC3pCnpyf69u0LNTU1jBkzBn369MHIkSMhKysLBwcHJCUlAQCuXr2KXr16wcvLC7Kysvjggw9gb2+P8+fPt2h9Ojo6MDMzY+e7fv06unfvjsGDB7PTuLm5YcCAAVBWVsaCBQtw/vx5CIVCxMXFYcyYMbC2tgaHw8GoUaMwePBgXLt2TXobhJBOip6SJeQNaWtrs/9XUFAQGVZUVERZWRkAID09Hffv3xfpqUcoFMLV1bXF6/Tw8MCPP/6IyZMn4/Tp03BzcxMZX7s5SX19ffD5fBQWFiIjIwPnz5/HlStX2PECgQCWlpYtjoGQroYSJiFtRE9PD+bm5mz3deJq6B3HcePGYfny5Xjy5AmuXr2KL774QmR8ZmamyP/l5OTQvXt36Onpwc3Njb1E2xWkx8WjIiubHVbsqYtebi7tGBF5W9ElWUKaoa2tjdTU1DdeztixY/HixQvExsaCz+eDz+fj/v37eP78eZPzaWlpiTw4BFSfydrb22Px4sX48MMPoa+vLzL+9OnTePbsGcrLy7Fp0ybY29uDy+XC1dUVV65cwfXr1yEUClFZWYnExERkZWW9cf06qoqsbJS9fMn+1U6ehLQEJUxCmjF79mxs374dZmZmuHDhgsTLUVVVxZ49e3D27FmMHj0aVlZW2LBhA3g8XpPzeXt749mzZzAzM8PcuXPZcnd3dzx58qTe5Vig+h5maGgoRo0aBR6Ph6VLlwKoPsuNjo7Gzp07MWLECFhbW2PPnj2oqqqSuF6EdBV0SZaQZowbNw7jxo1jhz/++GP2/3X7Yl20aJHI8MiRI/HLL7+ww++++y527drVovX369cPcXFx9cr19fWhqKgIe/v6LdL07dsXixcvbnB5Q4cOxeHDh1sUAyGEzjAJeStVVVVh3759cHR0hKqqanuHQ0iXQGeYhHQATk5OyMjIqFe+YsWKek/RlpWVYdSoUdDX18fu3bvbKkRCujxKmIR0AGfOnBF7WmVlZdy5c6fR8XUvExNCpIMuyRJCCCFioIRJCCGEiIEuyRJCxFL2qhhCoYAd5nJloazWrR0jIqRtUcIkhIBXVIQqPh8AwJGTg7yGRr1phEIBBPym3xklpDOjhEkIQRWfj6pmGlAgpKuje5ikS+ILWqdlm9ZablvYsX8/Nm7f3t5hENJh0Rkm6ZLkZDlYEv2b1Je7Zu4oqS+TVIu79hyZ+aXssJ6WCtysDdoxItLV0BkmIe3g559/hoODA9zc3LBt2zYYGhriyZMnIt1spaWliQxfu3YNPj4+8PT0xJQpU3D37l0AQExMDIKDg9np6g7v2rUL3t7e8PDwwJw5c5CbmwsAePXqFYKDg+Hg4ICP589HWgMNJ3QkmfmleJn1iv2rnTwJaQuUMAlpY3l5efj6668RHR2NuLg4yMvLNzvPy5cvER0djd27dyMmJgYRERFYuHBhs/PFxcUhNTUVx44dw6lTpzBmzBisW7cOALBt2zaoqKjg/Pnz2BARgf+7f/9Nq0ZIp0aXZInUUL+D4rl37x4++OADvPvuuwCAKVOmYMOGDU3Oc/36dbx8+RJTp05lywQCAfLy8pqc7/Lly/jrr7/g4eEBoLrD6pq2ZxMTExEWFgYA6K6hAVsrK4nrREhX8FYlzKKiIsyYMQMpKSkiTYP99NNPOHfuHKqqqrB3717Iycm1Y5RdV02/g0Qy6urqYBiGHa6srBQZP3r0aHzzzTf15uNyuSLdc9Wej2EYBAUFwdvbuxUiJqRreasuyaqoqGDv3r0YOnQoW5aRkYEnT57gwIEDOHToECVL0uEZGxsjKSkJL168AAAcP34cAKCmpgY+n49//vkHAJCQkMDOM2rUKFy/fh1Pnz5ly+7/ewn1nXfewePHj8Hj8cDj8UT67LS1tcUPP/yA4uJiAACPx8OjR48AAMOHD0dMTAwAoKi4GJdv3GilGhPSObxVZ5hycnLQqPNC9W+//Yby8nJMmzYN5ubm+PTTT9snOCKWuzcuoLgglx3uptkDxlb1+3NsbXxBVas80coXVEFOtunjUC0tLaxatQpz5syBoqIiJkyYwI5bunQppk+fDk1NTYwdO5Yt79evH9avX4+lS5eioqICfD4fpqamGDJkCIyNjTFixAg4OTlBR0cHAwcOZB/scXd3R1FREfz8/ABUn3F+9NFHGDhwIObOnYslS5bAwcEBWt26YdiQIVLfHoR0Ju2WMCMjI3HhwgWkp6cjPj4eAwYMAACkpKQgNDQURUVF0NDQQGRkJPr169focvLz8wEABw8eREhICJKTk2FkZCQyTUlJCUpKSkTKsrKypFshIpbiglwUZKe3dxjNJrXWXu6ECRNEEuWmTZsAAN7e3iKXT+fPn8/+38rKClaN3GdcuXJlo+sKDAxEYGBgvXI1NTVs2bIFAFCRm0sNFxDSjHZLmHZ2dpg2bZrIQwwAEB4eDl9fX7i5uSEuLg7Lli3DwYMHG12OmpoaLCwsAABmZmZISUmplzAPHDiArVu3Sr8ShBBCuox2S5hmZmb1yvLz85GUlIR9+/YBAJydnbFq1SoUFBRAU1OzweUYGxuz93qePHkCZ2fnetMEBASwTwnWyMrKqpesCWlM7bZWgcbbW5XU48ePpbYsUgfnrXpUg3RgHeoeZmZmJnR1dcHlcgFUP/2no6ODzMxMNmEGBgYiOTkZgYGBWLJkCQYNGoTY2Fj4+/ujX79+Ig8E1VBXV4e6unqb1oV0LtTW6tvhzONLyC7971UbXRVtGPfogbJ/H7Ai5E10qIQpjv3799crW7p0adsHQkinItPeAUhFdmkeUovrtlik3C6xkM6nQyVMPT09ZGdnQygUgsvlQigUIicnB3p6eu0dmtTUfrmfXuwn7aGoogSCWv1aynJloSwriypeZRNzEUI61MV9LS0tGBkZsfckExISYGRk1Oj9y7dRzcv9ZS9firSKQ0hbEQgF4An57F/t5EkIaVy7JcyIiAiMGTMGWVlZmD59OpycnAAAy5cvx+HDh2Fvb4/Dhw9jxYoV7RUi6cQYIb/5iWpR7NEDyr16sX+KPXpIZbmSqtswu7gSExMxY+r0VoiIkM6v3S7JhoWFse1Y1mZgYMC2fEJIa5HhyiHj8DKxp6/i8QGmVl+XMhxw5Ou3KqXv1/j7kISQt1uHuodJSFdx7949bNiwAaWl1V1UBQcH47333oOXlxd8fHxw7do1lJeXY/Xq1ewrWEeOHMH+/fuhqqoKa2trkeVdu3YN27dvB4/Hg5ycHL766isYGxsDAKKionD27Fmoq6uz7ywTQlqOEiYhUvaqqLr1KS5XFspq3eqNLykpQXh4OHbt2gUdHR3k5OTA29sbO3fuRFFREYyNjbFo0SKcPn0aGzZswE8//YRHjx5h+/btiI2Nhba2NpYvX84ur6brrz179kBVVRVPnz7FrFmzcPXqVVy+fBmXL19GbGwsFBUVMW/evLbaDIR0OpQw2xq9RN3pCfhNv695584dpKWlYdasWWyZjIwMBAIBlJWVYWNjA6C6UY7IyEgAwK1btzB27Fhoa2sDqO4S7Ny5cwBEu/4SVjFgGAY8Ph+PnqXi1+u/wdHRESoqKgCqm97bvHWL1OtMSFdACVNCcdeei/T4rqelAjdrA5Fp6CVq0hCGYWBoaIgjR46IlKelpYl0Js3hcCAQiPcEa03XXzmFZeDx/7vXKqximpiLENISdLojocz8UrzMesX+1U6eNWpeoq75q508SddlYmKCf/75Bzdv3mTL7t+/L9IXZl0WFha4du0a29nAiRMn2HENdf31KPkhAMDUzALnzp1DWVkZhEIhTp48Ke3qENJl0BkmIW2sW7duiI6Oxvr167FmzRrw+Xz06dMHX3/9daPzDBw4EHPmzMFHH30EVVVVjBkzhh1Xu+uv16Vl4PP5GDR4KAYaDcIoqzF48SwZbm5u7EM/6Zl1W8IhnV3tbvXaq0u9zkAqCTM1NRUyMjLo3bu3NBZHSKtjhPxWeQVE2Mz9yxpDhgzBoUOH6pUnJiay/+/du7fI8NSpU0U6DFi4cCH7/5quv+pekgWARYsWYdGiRexwXmkBeG30vijpGDpKt3pvO4kuyX722Wf4888/AQAnT56Ek5MTnJ2d6f1J8taQ4dZ/h7IpFbm5KEtPZ/8qcnMbnK6s9JU0wiOEdEASJcz//e9/GDx4MIDqxtD37duH48eP4/vvv5dqcIQQQkhHIdElWT6fD3l5eWRnZ6OoqAjDhg0DAOTl0UMthBBCOieJEqaRkRF27tyJ9PR0jB07FgCQnZ0NVVVVacZGCCGEdBgSXZJdvXo1njx5gsrKSvbBgzt37sDFhbqqIoQQ0jlJdIbZt29ffPvttyJlDg4OcHBwkEpQpH2J0ygDIYR0NWInzNovSjfF29tb4mBIx1DTKAMhhJD/iJ0w4+LiRIb//PNPaGtrQ09PD5mZmcjLy4OpqSklTPJWEAgFkOWKf4Glsf4v61JQVYOgMF/SsN6IoaEhLlz+DbJyiu2yfkI6O7F/MWq/ZL1q1SrY2dkhMDCQLTtw4ABSU1OlGhwhrUWWK4sVV6LEnr6KxxNpuk5GRgacWu2+1gi3WYT6jSQ2TiAQQFaWGtwi5G0g0UM/p0+fhr+/v0iZn59fvbNQQkh9hoaG2LJlC7y8vLB161a8fv0aS5cuhbe3N1xcXBAREQGhUAgA2Lt3L7y8vODu7o4pU6YgOTmZXc7PP/8MBwcHuLm5Ydu2bWz50R8OYtPGdexwXl4eRo4cifLy8rarJCGdkEQJU1tbG5cvXxYpu3LlCjQ1NaUSFCGdnYKCAk6ePImFCxdi7dq1MDc3x4kTJxAXF4eCggK2kXR3d3ecPHkSsbGxWLBgAcLDwwFUJ8Gvv/4a0dHRiIuLE+nlZKKzG65fu4zysjIAwNGjR+Hs7AwlJaW2ryghnYhE14LCwsLw6aefYs+ePejZsycyMzPx7NkzbNq0SdrxESJ1Ra8qoKGmCB5fCBkZGcjJtn2nPR4eHuz/L1++jPv372Pfvn0AgIqKCujq6gIA/vrrL+zcuRPFxcWQkZHBi3+7hrt37x4++OADvPvuuwCq+8fcsGEDAEBdvRtGjhqDXy6cgbunF44fP479+/e3XeUI6aQkSpijRo3CpUuXcO3aNeTk5GDs2LGwtrZG9+7dpR0fIVLHE1Q3Tl7FABy0T3+RysrK7P8ZhkF0dDT69OkjMg2Px8OCBQtw+PBhDBo0CNnZ2SK9lDTF3WsK1qwMg7a2FgwMDNCvXz9phk9IlyTxoXX37t3h7u6O2bNnw93dnZIlIRKytbXFrl272PuWBQUFSE1NBY/Hg0AggJ6eHgDghx9+YOcxNjZGUlISe8ZZt+ODdw3eh3q3btjy3Qb4+vq2TUUI6eQkOsNMTU3Fd999h+TkZJT9e5+kxtWrV6URF3kbcd6e/sgr+Xystf9c6svlCcTr3qu2JUuWYP369XBzc6u+RCwnhyVLlqBPnz4IDg6Gt7c3NDQ0YG//Xx+GWlpaWLVqFebMmQNFRUVMmDCh3nIdnd2x9/ttsLGxeaM6EUKqSZQwP//8c/Tp0wchISH0IEEXdebxJWSX/tfYvq6KNox79EDZv2c8HV1uYSWASsjLcaDTXbnZ6Styc1HF+y8ZcuTlG3w3s/J18w0+PH78WGRYVVUVK1asaHDaWbNmYdasWezwJ598wv5/woQJIoly7ty5Iv1h3v3zNjy9fcB5iw5kyH+KEuMhKMpmh2U1dKFhSc2PtieJEubTp0/x448/0hexC8suzUNqcUad0uYTD2l9eXm5WBz8CTQ1tfDZFyHtHQ6RkKAoG7zcl+0dBqlFooRpbm6OpKQktk9MQkjHoa3dAwd+iAEAyMvRQS0h0iJRwuzVqxdmzpyJ8ePHQ1tbW2TcggULpBJYQ4qKijBjxgykpKTgzp07AID79+9jzZo1AABLS0ssWrSo1dZPCCGk65IoYZaXl8PGxgYCgQBZWVnSjqlRKioq2Lt3L9ulGFDdN+dPP/0EAAgICMDr16+pX05CSIvI0O0lIgaJEubatWulHYdY5OTkoKGhUa8MAIRCIXR0dKCoSA1PE0Ka9teddLxMKQQAaGopQ01DC/mZ1BY2aZrErT6/ePECCQkJyMnJgY6ODpydnVv0cnRkZCQuXLiA9PR0xMfHY8CAAQCAlJQUhIaGoqioCBoaGoiMjGx2ufHx8di6dSusrKwabMi6pKQEJSUlImVteWZMCOlYXhVXIrdWF3Z6Ou0YDHlrSHQd4vLly/D09ERKSgq6deuGlJQUeHl54dKlS2Ivw87ODkeOHEGvXr1EysPDw+Hr64sLFy7A19cXy5Yta3ZZLi4uOHfuHHJycuo9sg9U96RiZ2cn8jd16lSxYyWdj243efTWURXrlRKgunsv5V692L/GuvtSVlaTZpgSi489gRNHj7R3GIR0KhKdYUZFRSE6OhrDhw9nyxITE9luv8RhZmZWryw/Px9JSUlsm5rOzs5YtWoVCgoKGm3YncfjQV5eHhwOByoqKlBQUKg3TUBAgEjbnUD1GSYlza5LTkEet79cCo6YbclW8flAVdV/BRwOOP/eDqjtw9UrWxRHa3Xv5eJO/dISIm0SfVOzsrLqJbxhw4a98WXOzMxM6OrqgsvlAgC4XC50dHSQmZnJJszAwEAkJycjMDAQS5YswfPnz/HDDz+gqqoKZmZmDV6+VVdXh7q6+hvFRoi0GBoaYv78+bh69SpGjx4NLpeLsrIyhIRUvzO5ZcsWdnjLli1ISUnBq1evkJqair59+2LTpk1QUlJqcFzYirXgcBVwYO9OlJeXIXjhYsTExCAhIQHq6up4+vQplFSUsHzdSmhqa4HP5yNqzbe4d/tPdO/WDYYGBsgvLsa2nTvbeSsR0vFIlDAHDhyIvXv3Yvbs2WzZvn37YGRkJLXAGlO314UBAwZg4sSJrb5eQqSppnsvoDpBNuWvv/7CiRMnoKamho8//hjx8fGYPHlyg+N+Pn8ODk7u9Zbx4MEDnD59Gnp6evg89AvEHIvBzLmzEB9zGtlZWYj98SdUvn6FWYsWsT2lEEJESZQwly9fjqCgIBw8eBB6enrIzMyEkpISduzY8UbB6OnpITs7G0KhEFwuF0KhEDk5OWzj04R0FnVvETTFysqKvUIyZMgQvHz5stFxGekNP+lpamrKfo8GfTgIif9LBADcvf0n7J0mVl8WlpeHg60t7jx8KFGdCOnsJEqYBgYGOHv2LO7evcs+JTt06FD2FQ9JaWlpwcjICAkJCXBzc0NCQgKMjIy6XMfUd29cQHFBLjvcTbMHjK3sm5iDvG1qd+/F5XJRVev+aGVlpci0te/Lc7lckfF1x9X0eFJX7ek4nManI4Q0TqKnZJOTk5GbmwszMzM4OjrCzMwMeXl5ePTokdjLiIiIwJgxY5CVlYXp06fDyckJQPXZ6+HDh2Fvb4/Dhw832ih1Z1ZckIuC7HT2r3byJG1DUCUEv0oAfpUAgqrqjqZbyzvvvIOHDx+iqqoKr1+/btMef4YOM8HP5y5AIBCgksfDhStX2mzdhLxtJDrD/OKLL7B9+3aRMj6fjy+++ALx8fFiLSMsLAxhYWH1yg0MDOr17UdIW2PAgGH+PeuTad1WYMaPH4+zZ89i4sSJ0NfXx6BBg1p1fbW5ernhxbO/4f6RD7qpqaH/O+9QqzeENEKihJmRkVGvd/i+ffsiPT1dKkER0tr4lTyYfbNa6ssV8prvD7Puu8Ly8vLYtm1bg9N++umnjQ43NK6me6+AGf91A+bp6QlPT0922MnVCeOdqrsFk5OTQ/DnC6Enp4ayokIsDAvDBDFfDSOkq5EoYfbs2RMPHz4UORJ++PAhdHSouQzydsgu5gHgNdofZl5pAXhCPgBAnisHdR4HgrJSdnxj/WGWlTXfH2ZHszAoGMJKPiorKmBpagrXt/ipc04rXw0gXZtECTMwMBBz587FzJkz0bdvX7x8+RJ79+7FnDlzpB0f6WTocl/H8/3BPSIHBJxWaEihtbx6eAOVadXPTshq6EJbQxP/FKW1c1Sks5LomzF58mSoqanhxIkTyMrKQs+ePRESEgIHBwdpx0fectTINWlNwteFop0sa/Rvv2BIpyfxoeTEiROpwQDSLGrkmhDSWUh0fYxhGBw7dgwBAQFwcXEBAPzxxx84e/asVIMjhBBCOgqJEuamTZtw4sQJTJ48GZmZmQCqHwTavXu3VIMjhBBCOgqJEuapU6ewY8cOODk5sS909+7dG6mpdG+KEEJI5yTRPUyhUAgVFRUAYBNmaWmpSHNfhHRkOhqKkJdvfPfXVqnTHKMKIN9do9nlKqp0w+si6bfMtGnTJrz//vtwdHRsdJrk5GTc++sxrKzHtXj56RkZ8AkMwJXY2DeIkrS19Lh4VGRls8OKPXXRy82lHSPq3CRKmNbW1li7di2WLFkCoPqe5qZNm2BjYyPV4AhpLfLysti16QY4MoCcLLfeeL6QDwYMAEAGMpBlZMDUbn+VIwOOnHy9+QLmjmiVeBcsWNDsNMnJybh86aJECZO8nSqyslFWqzF+0rokSphfffUVQkJCMGzYMAgEApiYmGDUqFGIjIyUdnyEdEr37t3Dhg0bUFpa/e5jcHAwfvnlFwwYMAABAQEAgCdPniAoKAgXL17EV199hcGDB8PPzw88Hg9RUVG4fv06OBwO+vTpg4iICGzevBmvXr3C7OkfYchQE8xf+CUe/vUAi3dtFVnPYPMhAIBTx2Jw4sfjUFVVwdgRo9pnQxDyFpEoYaqqqmLbtm3Iz89Heno69PT00KOBVk8IIfWVlJQgPDwcu3btgo6ODnJycuDt7Y2NGzdi9erVbMKMiYmBh4dHvYbfd+3ahdTUVMTExEBeXh4FBQXo3r07goODcf7ni1i28hsAwOtXr/DtN6uxd89ukfUcOHYIaenpOLLvEHYd3oOeOrrYHLGhzbcDIW8biRJmQUEBFBQUoKWlBQ0NDcTGxoLL5cLV1RUcasmFkCbduXMHaWlpmDVrFlsmIyMDBQUFlJaW4vHjxzAwMEBCQgKOHj1ab/4rV64gNDQU8vLVl4Qb6/7u4V/3kJmRXm89aalpuHvnLoaPGgFNrep5vd3dceHiL9KsJiGdjkQJ85NPPsGKFSvwwQcfICoqCleuXIGsrCySkpLY+5qEkIYxDANDQ0McOXKk3jh3d3ecOnUKFhYWMDAwQK9evd5oPQbvvY9jR38SKc8rLcDdO3clXi4hXZVEp4MvXryAkZERAOD06dP4/vvvceDAAWq4gBAxmJiY4J9//sHNmzfZsvv374NhGLi7uyMhIQHHjx8X6WGkNhsbGxw4cAC8f3tGKSgoAFB9q6T09Wt2ukEfDkVqamqD6zEeZoLE32+isKC62cKY06elXk9COhuJzjA5HA74fD5SUlKgpqYGfX19VFVVsQ8WENLR8XgCzF5gJfXl8vmCZqfp1q0boqOjsX79eqxZswZ8Ph99+vTBjh07oK+vj/feew+3bt3Cxo0bG5x/9uzZ+Pbbb+Hu7g45OTm888472Lx5M0aMGIGdu77HrEAfDDU2xfyFX2Ld+u+wbdtmkfVEfLsGBu8bwDfQD5/OnAtVFVVYjxgp7U1BSKcjUcIcM2YMFixYgKKiIva9sGfPnkFXV1eqwRHSWnKKKgBA6t17VZQWi7X+IUOG4NChQw2O279/f72ydevWsf+Xl5fHV199ha+++kpkGjU1NWz//gB4/Cq2zOiDQfXWk1daAAiF8JjsCY/Jnmz9gvz9xYqdkK5KooS5evVqnDp1CrKysnBzcwMAFBYW1uvQlhBCSCuihyzblEQJU15eHlOmTEFVVRXy8vKgra0NS0tLacdGCCGklt9f3sajvOcAAF0VbRj36IGyFy/aN6guRKKE+fr1a6xatQpnzpyBQCCArKwsnJycEBYWBjU1NWnHSAghBEBBeTFSizNqlVBzpG1JovP5iIgIlJWVIT4+Hvfv30d8fDzKy8sREREh7fgIIYSQDkGiM8zr16/j4sWLUFJSAgD0798fa9euxfjx46UaHCGEENJRSHSGqaCgwL77VaOwsJBteYQQQgjpbCQ6w/T29saMGTMQGBgIfX19ZGRkYP/+/Zg8ebK04yOkVehoKEBeXq7R8ZJ276WkooZXRflvGF19aWlp8PLyQmJiotSXTQgRj0QJc+7cudDR0UFCQgJycnKgo6ODmTNnwtvbW9rxEdIq5OXl8NO2NZCRAeTlGu7eq4qp7t6LIyMDbpUMmKr/uveSkZEBp4ErKh6zQlovaEJIu2rxJVmhUAh/f3+4urpi//79OHv2LPbv349JkybV61VB2oqKiuDp6QkTExOR8lWrVsHX1xc7duxo1fUTIg1paWkir2HVDNf8GxUVBXd3d9jb2+P27dv15ufxeFi4cCHWrVsHhmHg7++PyMhIfPTRR5js6Yzvd2z+b9mpLxEQEAAXFxd4eHjg119/BQCcjonDd5HVLQkl/fUQHw63xMNHjwAAqzdsYBt9NzQ0xI4dO+Dl5QU3D29cvnqt1bYLIR1dixMml8tFWloamH+PvtuSiooK9u7di6FDh7JlDx48AJfLxQ8//ICkpCTk5eW1eVyESEtRURGMjY0RGxuLefPmYcOGDfXGf/zxxzA1NUVoaCh7kJqZmYkjR45g78EfcTYhFmmp1Z0KrwxfCmdnZ8THx2P9+vX44osvUFhYiGHmw/DnH38CAG7fuo2hH36IxD+rhxP/7/8wYsR/HWGrqqri5MmTWLF8GaK+29IWm4GQDkmih37mzZuH8PBwpKenQygUoqqqiv1rTXJyctDQ0BApu3//PoYPHw4AMDc3x8OHD1s1BkJak7KyMmxsbAAAxsbGSE1NZcfxeDz4+vrC19cX06ZNE5nPwcEBHA4Hqqpq6PtOf2RkpKGsrBTPnj6Gl5cXAOC9996DkZERHt7/C7369AavshK52Tn4v1u3sWBOEG7duYOsnBzw+Xz07duXXXZN85cfDh6E3Lw8VFZWtvZmIKRDkugeZlhYGAAgLi6OLWMYBjIyMkhOThZrGZGRkbhw4QLS09MRHx+PAQMGAABSUlIQGhqKoqIiaGhoIDIyEv369Wt0OSUlJXj//fcBVJ+BlpSUNDhN3fKsrCyx4iRE2mRlZUWu0NROQLWfNOdwOBAI/mvMXU5ODkOHDsXly5cxYcIEcLn/3XtVUFBg/8/lcCEUNN8IvImZKf53438oKCiA+bBhWL3+G1y/eRPmpqYi09Usu2Z9QqGw3rII6QokSpiXLl164xXb2dlh2rRpmDp1qkh5eHg4fH194ebmhri4OCxbtgwHDx5sdDnq6up4/W+XRqWlpSJHxjUOHDiArVu3vnHMhEiDtrY2+Hw+/vnnH7zzzjtISEgQaz4ZGRmsWbMGK1euxKJFi/Dtt99CTq7xJ32VlVXw3vuGOHXqFLy8vPD8+XM8evQIg4YMBgCYmg/Dnh27MXxk9RUa48GDse/HH/HpJ5+8eSUJ6YQkuiTbo0cP6OjooFevXuyfjo4OejTQe0NjzMzMoKenJ1KWn5+PpKQkODs7AwCcnZ2RlJRU753P2j788EP2Ufs//vgDgwYNqjdNQEAALl26JPLXUOe9hLQFWVlZLF26FNOnT4e3t7fImWJzZGRkEB4ejl69emHevHnNXh5dtmI1Tp8+DRcXF3z++ef45ptv0L17dwCAibkpsjOzYGZhBgCwMDVFZnY2LOqcYRJCqkl0hjl9+nR88cUXMDY2ZssePnyIb7/9ttEui8SRmZkJXV1d9geEy+VCR0cHmZmZ0NSsfi8uMDAQycnJCAwMxJIlSzBkyBCcOnUKvr6+sLKygra2dr3lqqurQ11dXeK4SOfD4/HhM2+J1Jcr4PPEms7b21vkNaz58+cDgMh7lr1792aHa/8fAEJC/nt9pe53buOWXf8to09fHDhwQGR8Xmn1Aah2D21c+eNXyHPlAB4wYexYTBg7VuR1mcePH4vMe/PGVbHqR0hnJFHCfPLkiciTqkB1/36P/n0svTU11FdgeHh4q6+XdC45RZUAKqXeH2Z56atWi5kQ0r4kuiSrpqZW7/WNvLw8tm1ZSenp6SE7O5t9qEAoFCInJ6fepVtCCCGkrUmUMCdMmIDFixfjyZMnKC8vx+PHjxESEoKJEye+UTBaWlowMjJiH4JISEiAkZERezmWEEIIaS8SJcxFixbBwMAAkyZNgqmpKaZMmYL+/fvjs88+E3sZERERGDNmDLKysjB9+nQ4OTkBAJYvX47Dhw/D3t4ehw8fxooVKyQJkRAR7dHQRldC25d0BRLdw1RQUEB4eDiWLVuGwsJCdO/evcXN4oWFhbHvc9ZmYGCA48ePSxIWIQ1SVFREfn4+tLS0Wr35xq6IYRjk5+dDUVGxvUMhpFWJnTDT0tLQu3dvABBpfQSofv+xRp8+faQUGiHS0bt3b6SlpSE3NxcA8KqMB4Gw+oxIliuDfOX6jai/5pVC8G9j67IcLhQFMqji/fcErAyXC7kGmmGsKHuNqn/vwXO4XCgq50i9Pk2pXTeg4frVrhtQv37i1A0QrZ+ioiL7+0BIZyV2wnRxccGdO3cAAOPHj4eMjEy9yzAtaemHkLYiJyeH/v37s8M7Yu7jZVZ1Yxd9e6phjqdRvXn2/nkUqcUZAIA+3fRhn6qMgj/+YMcr9+0Lg09m1pvv2unDKMhOBwBo6vaCiaufVOvSnNp1AxquX+26AfXrJ07dgPapHyHtSeyEWZMsAbTJ6yOEEEJIRyLRQz+EEEJIVyPRQz8ZGRnYunUrkpOTUVZWJjLuwoULUgmMEEII6UgkSpgLFizAu+++i+DgYHoyjhBCSJcgUcL8+++/cfToUXA4dEWXEEJI1yBRxrOxscGtW7ekHQshhBDSYUncgbSPjw/69u0LLS0tkXFr166VSmCEEEJIRyJRwvzqq6/A5XJhYGAg0tM7IYQQ0llJlDBv3ryJ69evQ1VVVdrxEEIIIR2SRPcwDQ0NUVRUJOVQCCGEkI5LojPM4cOH4+OPP4anp2e9e5i1e5EnhBBCOguJEub//d//QUdHBzdu3BApl5GRoYRJCCGkU5IoYR46dEjacRBCCCEdGrU8QAghhIiBEiYhhBAiBkqYhBBCiBgoYRJCCCFiEPuhn9TUVLGm69Onj8TBEEIIIR2V2Alz/PjxkJGRAcMwjU4jIyOD5ORkqQRGCCGEdCRiJ8xHjx61ZhyEEEJIh0b3MAkhhBAxSNRwgUAgwA8//IA//vgDhYWFIpdpjxw5IrXgCCGEkI5CojPMtWvX4ujRozAzM8PDhw8xYcIE5OfnY/jw4dKOr1m//vor/P394e/vD0tLS7qHSgghpFVIlDB//vlnfP/99wgICACXy0VAQAC2bduGxMREacfXrDFjxuDQoUM4ePAgevfujYEDB7Z5DIQQInUydMeso5HokmxFRQX09PQAAIqKiigvL4eBgQGSkpKkGlxLPHjwAIMHD4aMjEy7xUAIIZKKu/YcmfmlAAA9LRVYd+sBXs6L9g2KiJDoEMbAwAAPHjwAAAwePBhbtmxBdHQ0dHV13yiYyMhI2NrawtDQEE+ePGHLU1JSMGXKFNjb22PKlCl48eJFvXkvXboEOzu7N1o/IYS0l8z8UrzMeoWXWa/YxEk6FokS5pIlS8DlcgEAoaGhSEpKwpUrV7Bq1ao3CsbOzg5HjhxBr169RMrDw8Ph6+uLCxcuwNfXF8uWLas3b2JiYqP3UEtKSpCWlibyl5WV9UaxEkII6VokuiSrp6eHHj16AAD69euH/fv3AwByc3PfKBgzM7N6Zfn5+UhKSsK+ffsAAM7Ozli1ahUKCgqgqakJoLoVIl1dXcjLyze43AMHDmDr1q1vFBshhJCuTaKEaW9vjz///LNeuZOTE27duvXGQdWWmZkJXV1d9oyWy+VCR0cHmZmZbMJs7nJsQEAAPDw8RMqysrIwdepUqcZKCCGk85IoYTbUPN7r16/b7YGbwMDAJserq6tDXV29bYIhhBDSKbUoYVpbW0NGRgaVlZUYO3asyLiioiI4OTlJMzYA1Zd/s7OzIRQKweVyIRQKkZOTwz6lSwghhLSFFiXM9evXg2EYzJ49G9988w1bLiMjAy0tLbz77rtSD1BLSwtGRkZISEiAm5sbEhISYGRkxF6OJYQQQtpCixKmhYUFAODmzZtQUlKSejARERH4+eefkZeXh+nTp0NDQwNnzpzB8uXLERoaiujoaKirqyMyMlLq6yaEEEKaItE9TFlZWWzevBlxcXHIycmBjo4O3NzcMGfOnEafVBVHWFgYwsLC6pUbGBjg+PHjEi+XEEIIeVMSJcz169fj/v37WLFiBfT19ZGRkYHo6Gi8fv0aS5YskXaMhBBCSLuTKGGeP38ecXFx6N69OwDg3XffxQcffAA3NzdKmIQQQjoliVr6aei1kqbKCSFvPxkONQZOurYWnWEmJCTA2dkZDg4OCAoKwrx586Cvr4/09HRs374dEydObK04CSFt6K876XiZUsgOa2opQ01DC/mZqe0YFSHtq0UJc9myZXB2dsYXX3yB7du3Y+XKlexDP05OTpg7d25rxUkIaUOviiuRm/VKpExPp52CIaSDaFHCrLnkKi8vjwULFmDBggWtEhQhhBDS0bQoYVZVVeHmzZtN3qscMWLEGwdFCCGEdDQtSpg8Hg9Lly5tNGHKyMjg0qVLUgmMEEII6UhalDCVlJQoIRJCCOmS6DlxQgghRAwtSpj0niUhhJCuqkUJ886dO60VByGEENKh0SVZQgghRAyUMAkhhBAxUMIkhBBCxEAJkxBCCBEDJUxCpIh69CCk85KoP0xCCPXoQUhXQwmTEAlRjx6EdC10/YgQQggRAyVMQgghRAyUMAkhhBAxUMIkhBBCxEAJkxBCCBEDJUxCCCFEDJ0mYe7fvx+BgYHtHQYhhJBOqlMkTD6fj0ePHrV3GIQQQjqxTpEw4+Li4OTk1N5hEEII6cQ6VMKMjIyEra0tDA0N8eTJE7Y8JSUFU6ZMgb29PaZMmYIXL16w46qqqnDjxg2MHj26HSImhBDSVXSohGlnZ4cjR46gV69eIuXh4eHw9fXFhQsX4Ovri2XLlrHjfv75Z9ja2ja53JKSEqSlpYn8ZWVltUodCCGEdE4dqi1ZMzOzemX5+flISkrCvn37AADOzs5YtWoVCgoKoKmpiZSUFNy6dQtxcXFITk7G8ePHMWnSJJFlHDhwAFu3bm2TOhBCCOmcOlTCbEhmZiZ0dXXB5XIBAFwuFzo6OsjMzISmpiaCgoIQFBQEAAgMDKyXLAEgICAAHh4eImVZWVmYOnVq61eAEEJIp9DhE2ZL7N+/v8FydXV1qKurt20whBBCOpUOdQ+zIXp6esjOzoZQKAQACIVC5OTkQE9Pr50jI4QQ0pV0+ISppaUFIyMjJCQkAAASEhJgZGQETU3Ndo6MEEJIV9KhLslGRETg559/Rl5eHqZPnw4NDQ2cOXMGy5cvR2hoKKKjo6Guro7IyMj2DpUQQkgX06ESZlhYGMLCwuqVGxgY4Pjx4+0QESGEEFKtw1+SJYQQQjoCSpiEEEKIGChhEkIIIWKghEkIIYSIgRImIYQQIgZKmIQQQogYKGESQgghYqCESQghhIiBEiYhhBAiBkqYhBBCiBgoYRJCCCFioIRJCCGEiIESJiGEECIGSpiEEEKIGChhEkJIJyfDoZ96aehQ/WESQgh5M3/dScfLlEJ2WFNLGWoaWsjPTG3HqDoHSpiEENKJvCquRG7WK5EyPZ12CqaTofN0QgghRAyUMAkhhBAxUMIkhBBCxEAJkxBCCBEDJUxCCCFEDJQwCSGEEDF02ddKhEIhACArK0ui+YsLc1BaUvrfsEI50tLSRKfJLcTrkpL/hnlKyCqoQFFp9XxKxcVQqDMPAOQVFKGo+L/HwqvkiuotuzVJo25Adf3y8rJRVJILAOAqlIPLyUdBO9YNEK1fQ3UDROsnTt2A+vVr77oBku+XzdUN6Bj7ZYZ8ASqKqsvkOMUoUMrH67zOsV/WrhtQv37tsV/W/F7W/H52NTIMwzDtHUR7uH37NqZOndreYRBCyFvnyJEjMDMza+8w2lyXTZgVFRX466+/0KNHD3C53DZZZ1ZWFqZOnYojR46gZ8+ebbLOtkJ1e3t15vpR3aRLKBQiNzcXgwcPhqKiYpussyPpspdkFRUV2+0IqWfPnujdu3e7rLu1Ud3eXp25flQ36XnnnXfabF0dDT30QwghhIiBEiYhhBAiBkqYhBBCiBgoYbYhdXV1zJ8/H+rq6u0ditRR3d5enbl+VDciTV32KVlCCCGkJegMkxBCCBEDJUxCCCFEDF32PUzSMFtbW8jLy0NBQYEt69GjB+zs7PDRRx+xZQzDYNy4cVi7di3S0tJw9epVbN68GQCQm5uL9evX4//+7/+grq4OLpeLyZMnIz8/H+fPnwcAvHz5EpqamlBVVQUA7NixA3p6em1Y02p162tpaYklS5Zg4cKFuHnzJq5fvw45OTl2ekNDQ/z5559QUVGBv78/ZsyYARsbmzaPu7aG6qCmpoaysjKEhIQgMTER06ZNw+LFizF79mwAQGJiIiIjIxETEwNAtF43b97Et99+Cx6PBx6Phx49emD//v3gcDgN1jk4OBhjx46Fp6dnm9d7x44dGDBgAMrLyzF//nzo6OhAIBBg6NCh8PPzQ0xMjMi+WaNu/TuC2vWpkZmZibVr1+Lhw4fgcDjo27cvQkJC2GnS09OxYsUKZGZmAgDk5OSwbt06XLp0qcN91zoDSpj/srW1hbKyMk6fPg0Oh8OW1ezAx44dw4EDB1BVVYWqqip4eHhg9uzZ7LR1bd++vckd9ssvv0RGRgZbBgDh4eEwNTWFv78/O66iogJubm6YO3cuACAtLQ12dnawt7cX+REIDQ3FqVOnEB8fL/KFk8TmzZtFlnHu3Dns27dPJGEmJiaCw+HA3NxcpF3K8vJy+Pn5wdPTE+vWrQOHw8GrV69w5swZBAUFISgoCAA6TLIB6te3qKgIv//+O/r374/Lly/D3t6+HaMTT906bNmyRWR8jx49cODAAfj4+DT5kIhAIEBwcDAOHjyIgQMHAgCSkpIgIyPTOoFLQUlJCWbPno0PP/wQS5YswVdffdXeIUkFn8/HjBkzMHnyZPa7fv78eUyfPh1nz55Ft27dsGLFCowZMwZ+fn4AgOzsbMjKynbY79rbjhJmLWVlZYiLi4OHh4dIeWxsLA4cOIDvv/8e+vr6KC4uxrx581BVVcUmsrrE2WHDwsIa3YlrxuXk5MDR0RGjRo3C0KFDAQAaGhp48uQJiouL0a1bN5SWluL27dvQ1dV9003QIDs7OyxfvhzPnz+HgYEBACAmJgaenp71fkgTEhKgoaGBTz75hC1TU1ODj49Pq8TWGuLj42FtbQ0rKyucPHnyrUiYzdHR0YGJiQm+//57LF68uNHpSktLUVZWBm1tbbbsgw8+aIsQJZKfn48vv/wStra2CA4Obu9wpOrMmTNQU1PD9OnT2TIHBwecP38ehw8fxrx585CVlSXyvW+t3wBSje5h1jJ//nxs3boVPB5PpHzLli0ICQmBvr4+ALBHdjt37qw3rbTp6Oigf//+yMjIECl3dHREQkICgOqjznHjxkFWVjrHP8HBwXBzc4Obmxs8PT0hLy8PFxcXnDx5EgDw+vVrXLx4sd6BBQA8fPgQQ4YMkUocbaV2fa9fv46TJ0/C09MTEyZMwN27d5Gdnd3eITarbh0aEhQUhBMnTiAnJ6fR5XTr1g2TJ0/GhAkTMGfOHOzatYu93FcjIiKCXZebmxt+//13qdalJRYuXAgbG5tOlywB4PHjx+xBcm3GxsZ4/PgxAGDmzJn48ssv4efnh/Xr1+P+/fttHWaXQgmzlsGDB2PQoEH48ccf2TKGYZCWlgZjY2ORaQ0MDCArK4sXL15IvL66Pzz5+fn1pklJSUFRUREsLS1Fyj08PBAXFweg+gy4oeQlqc2bNyMuLg5xcXHsPR5vb2+cPn0aQqEQ586dg6mpaadpzLp2fbW0tFBSUoLhw4dDSUkJEyZMQGxsbHuH2KzadRg9enSD02hra2Py5MmIjo5uclnLli1DXFwc7Ozs8ODBAzg7O4vs52FhYey64uLiMHLkSGlWpUWsra1x9uzZt+KgpqXEeePP1dUVly9fhq+vL8rLyxEQEMAeSBPpo4RZx8KFC/H999+jtFYfc4150/s6dX94tLS02HERERFwcnKCo6Mjpk6dCk1NTZF5+/TpAwUFBVy7dg1lZWUwNDR8o1iaM3DgQOjo6ODXX3/FyZMn4eXl1eB0gwYNwoMHD1o1ltZ08uRJlJSUwM7ODra2trh69WqHejDkTc2cORMXL17Ey5cvm5yuT58+mDRpErZs2QITExNcuXKljSJsmZkzZ8LT0xPTpk3rdElz4MCBuHfvXr3yu3fvityv7t69OxwdHbFs2TIEBQVRwmxFlDDrePfdd2FtbY19+/YBqE6KvXv3xt27d0Wme/78Ofh8fqu13B8WFoYzZ87g8OHDiIqKYi/B1Obu7o4vv/wS7u7urRJDXV5eXtiyZQtevHgBOzu7BqdxcnJCQUEBdu/ezR4hv379GkePHm2TGN8Ej8dDQkICTp48icuXL+Py5cu4ceMGgOr+UzuDmnti27dvb3B8aWkpbty4wX52JSUlSEtL69A9fXzyySfw8PDodEnT0dERxcXF7G8RUH375datW+xDPlevXkVlZSWA6q63Hj9+3KE/q7cdPfTTgE8//RSenp5sr+Lz58/HN998g/fffx96enooLi7G8uXLMWvWLJHXL1rDsGHD4Ovri02bNtW7lObg4ID8/Hy4uLhIdZ3BwcEi9YqIiMCHH34IZ2dnREZGYvLkyZCXl29wXmVlZRw6dAjr16+HnZ0dVFRUICsrC19fX6nG2BouXryIvn371jsIqrl/21B3cKGhoSLbateuXezTpR2Vn58fDh482OA4hmFw5MgRrFq1CgoKChAKhXBxccH48ePbOMqWmTNnDhiGwbRp09CrVy+RcdeuXcOYMWPYYU9PT4wYMQJPnjwRKR85ciTWrVvXZjE3ZPr06SL98/74449Yt24dDh06BA6Hgz59+mDv3r3Q0NAA8N/rMbKyshAKhRg8eDAWLFjQTtF3ftQ03r/qvgMVGRmJvXv3sq9p/Pjjjzh06BAYhoFQKISbmxuCgoIafa2ktoaekq396kiN4OBg2NnZ1Zu+pKQE48ePx759+6Curg4vLy8kJiY2WwdCCCHSQwmTEEIIEQPdwySEEELEQPcw31BycjJCQ0Prlfv5+WHSpEntEBEhhJDWQJdkCSGEEDHQJVlCCCFEDJQwCSGEEDFQwiTkLZSRkQETExP2XWFpc3JyavDVJUK6MkqYpNOxtbWVaoPgMTExIl2bNcTf3x/Hjx+X2jqbo6+vjzt37oi85C6p0NBQREVFiZSdOXOmXvvFhHR1lDAJ6QBa60yRECI9lDBJl1FcXIxPPvkEw4cPh7m5OT755BNkZWWx42NiYmBnZwcTExPY2tri9OnTeP78OcLDw3H37l2YmJg02DxeVFQUbt++jZUrV8LExAQrV64EUN3e8PTp02FhYQF7e3ucPXuWnSc0NBTh4eGYNWsWjI2NkZiYCFtbW+zevRsuLi4wNjbGkiVLkJeXh5kzZ8LExASBgYEoLi4GUN2RuKGhIQQCAYDqM9zvvvsOPj4+MDExwYwZM1BQUMCuLzg4GKNGjcKwYcMwdepUPH36FABw9OhRxMfHY8+ePTAxMcGcOXMAiJ6l83g8rF69GlZWVrCyssLq1avZbu0SExMxZswY7N27FyNGjGD7ECWkU2II6WRsbGyY3377rV55QUEBc/78eaasrIx59eoV8+mnnzJBQUEMwzBMaWkpY2Jiwjx//pxhGIbJzs5mnjx5wjAMw5w8eZLx8fFpcp1+fn7MsWPH2OHS0lJmzJgxzIkTJxg+n888fPiQsbCwYJ4+fcowDMOEhIQwpqamzO3btxmhUMhUVFQwNjY2zKRJk5jc3FwmKyuLGT58OOPu7s48fPiQqaioYPz9/ZktW7YwDMMwqampzIABAxg+n8+u387Ojvn777+Z8vJyxs/Pj1m/fj0bz/Hjx5lXr14xlZWVTEREBOPq6sqOCwkJYTZu3NjoNvzuu++YSZMmMXl5eUx+fj4zZcoUJioqimEYhrl58yZjZGTEfPfddwyPx2OuXr3KDBkyhCkqKmrmUyLk7UNnmKTL6N69O+zt7aGkpARVVVUEBQXhjz/+YMdzOBw8ffoUFRUV0NHRwfvvvy/xuq5evYpevXrBy8sLsrKy+OCDD2Bvb4/z58+z09jZ2WHYsGHgcDhsA+5+fn7Q1taGrq4uzMzMMGTIEHzwwQdQUFDA+PHjkZSU1Og6PT090b9/fygqKsLBwQHJycnsOG9vb6iqqkJeXh6ffvopHj16hFevXolVl/j4eMybNw9aWlrQ1NTEvHnzcPr0aXa8rKws5s2bBzk5OVhbW0NZWRkpKSkt3WSEdHjU0g/pMsrLy7F27Vpcv36dvbRZWloKoVAIZWVlREVFYe/evVi6dClMTU0REhICAwMDidaVnp6O+/fvi1zCFQqFcHV1ZYf19PTqzaetrc3+X0FBQWRYUVERZWVlja6zR48e7P+VlJTYaYVCIaKionD+/HkUFBSwHQYUFhZCTU2t2brk5ORAX1+fHdbX10dOTg47rKGhAVnZ/35Kaq+bkM6EEibpMvbu3YuUlBQcO3YMPXr0QHJyMtzd3dm+H0ePHo3Ro0ejoqIC3333Hb7++mv88MMPEnUUrqenB3Nzc5G+DNtLfHw8Ll26hH379qF379549eoVzM3N2Xo3Vz8dHR1kZGSwZ9yZmZnQ0dFp9bgJ6WjokizplPh8PiorK9k/gUCA0tJSKCgoQF1dHUVFRdi6dSs7fV5eHi5evIiysjLIy8tDWVmZPRPT0tJCdnY2+6BLQ7S1tZGamsoOjx07Fi9evEBsbCz4fD74fD7u37+P58+ft16lG1FaWgp5eXl0794d5eXl2Lhxo8h4LS0tpKWlNTq/k5MTtm/fjoKCAhQUFGDbtm1S74OVkLcBJUzSKc2ePRtDhgxh/7Zs2YKAgABUVlZi+PDhmDJlCkaPHs1OX1VVhf3792P06NGwsLDAH3/8geXLlwMAhg8fjvfeew9WVlaNvps4bdo0XLhwAebm5oiIiICqqir27NmDs2fPYvTo0bCyssKGDRuaTLqtxd3dHfr6+hg9ejScnJxgbGwsMt7b2xvPnj2DmZkZ5s6dW2/+uXPnYvDgwXB1dYWrqysGDRrU4HSEdHbU+DohhBAiBjrDJIQQQsRACZMQQggRAyVMQgghRAyUMAkhhBAxUMIkhBBCxEAJkxBCCBEDJUxCCCFEDJQwCSGEEDFQwiSEEELE8P9NTUKzs83pBwAAAABJRU5ErkJggg==\n",
@@ -234,16 +216,6 @@
      "metadata": {},
      "output_type": "display_data"
     },
-    {
-     "data": {
-      "image/png": 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\n",
-      "text/plain": [
-       "<Figure size 432x288 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
     {
      "data": {
       "image/png": 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\n",
@@ -264,16 +236,6 @@
      "metadata": {},
      "output_type": "display_data"
     },
-    {
-     "data": {
-      "image/png": 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\n",
-      "text/plain": [
-       "<Figure size 432x288 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
     {
      "data": {
       "image/png": 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\n",
@@ -294,16 +256,6 @@
      "metadata": {},
      "output_type": "display_data"
     },
-    {
-     "data": {
-      "image/png": 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\n",
-      "text/plain": [
-       "<Figure size 432x288 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
     {
      "data": {
       "image/png": 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\n",
@@ -324,16 +276,6 @@
      "metadata": {},
      "output_type": "display_data"
     },
-    {
-     "data": {
-      "image/png": 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\n",
-      "text/plain": [
-       "<Figure size 432x288 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
     {
      "data": {
       "image/png": 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\n",
@@ -354,16 +296,6 @@
      "metadata": {},
      "output_type": "display_data"
     },
-    {
-     "data": {
-      "image/png": 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\n",
-      "text/plain": [
-       "<Figure size 432x288 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
     {
      "data": {
       "image/png": 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\n",
@@ -384,16 +316,6 @@
      "metadata": {},
      "output_type": "display_data"
     },
-    {
-     "data": {
-      "image/png": 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\n",
-      "text/plain": [
-       "<Figure size 432x288 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
     {
      "data": {
       "image/png": 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kr7c15jusodik2W+b8juuOlne8+re/O4oKSlBYWFhvclHHsaPH49jx45BLBbD1NS0xvZk+SzXp95Tsurq6liwYAFWrVqFCxcuoLS0FEKhEFeuXMGGDRtq1O/ZsyfKy8uRkJAAoVCInTt3StwoExMTg4KCAnC5XPZIhMvlQktLC1wuV+IivZeXF/bs2YMHDx4AqLw4fubMmUY1TlY5OTn4448/sGvXLkRHRyM6OhoxMTGYOXMmYmJi2HoFBQU4dOgQhEIhzpw5g0ePHsHa2hp5eXm4cOECSkpKoKioCBUVFfaXjJOTEw4ePIi0tDQUFxcjLCwMY8eOrfUD07t3b5w+fRpCoRD//PMPzp07x85729estuXri622+sXFxVBRUYG6ujpycnKwd+9eqV9jbW3tBpOMtPT09DBs2DCsX78er169QkVFBZ4+fYobN27UWr+u/bBKREQESktL8eDBA0RFRcHR0REAMHnyZHz77bfsF0NBQQEuXLggVYza2trIyMho8M7NH374AdnZ2SgsLMSuXbvYbU+cOBE//fQT/v77bzAMg5KSEiQkJLCnoxpy584d/P333xAKhejQoQMUFRXZNr/5XpSWloLD4bBnUk6cOMHuU1X1c3JyJD7bJiYm+OWXX1BaWoonT57g+PHjUm27NqdOncLDhw9RWlqKrVu3wsHBATweDy4uLrh8+TKuXr0KsViM8vJyJCYm1vih+TaKi4vB4/GgpaUFkUiE7du3S7zGjfkOe9Ob+0Bj99umJMt7Xp2TkxOioqKQnJwMgUCALVu2oF+/fuzRpTzo6OjUeH1HjRqFpKQkHDp0CG5ubjWWkfdnucGf49OnT4eOjg4iIiLw5ZdfQlVVFX369GHvpqtOXV0dwcHBCAoKglgsxowZMyROKVy9ehXr169HWVkZDA0NERYWxp5amz17NiZPngyRSIS9e/di9OjRKC4uxueff46MjAyoq6tj6NChGDt2bIONksbNmzcxc+bMGnezAZUfChMTE4lTJUDlNaIDBw6wh/X9+vXDkydPMHjwYOjo6GDbtm3o1KkTcnNzERkZiYCAAHA4HJiYmGDFihUAAHd3d+Tk5MDHxwfl5eWwsrLCN998U2uMixYtwueffw5LS0sMHDgQzs7O7J1cHTp0eKvXrLbl64uttvrz589HQEAALCws0L17d7i6uiIyMlKq19/DwwMLFy6EhYUFLC0tERERIdVyddmwYQM2bdoER0dHFBcXo1u3bpg5c2atdevbDwHA0tISo0ePBsMwmD59OrsfTJ06lS3Lzc2FtrY2HB0dMWrUqAbjGzNmDE6dOoVBgwaha9euOHnyZK31nJyc2PXb2dmxR5Qff/wxVq9ejVWrVuHJkydQVlaGubk5e8diQ4qLi7F27Vqkp6dDUVERVlZW+OSTTwDU/l5Mnz4dXl5e4HA4cHNzg7m5ObuuwYMH44MPPoCVlRU4HA4SExPh5+eHf/75B0OHDoWxsTGcnZ3ZuzPr23ZtXF1dERgYiP/+97+wtLRkPzsGBgaIiIjAxo0b8cUXX4DL5aJfv37sfHmoulvVwcEBKioq8PPzkzit15jvsDevb9a2DzRmv21KH3zwQaPf8+qGDh2KhQsX4rPPPkNRURHMzMwa9WyvNObPn4/AwECUlZVh1apVcHR0hLKyMuzt7REfH4/Ro0fXWEben2UOw9AA0oQAladV7ezscPfuXbnd6NYYtra2CAkJwdChQ5t9262Fr68vXFxcMHHixJYOhbwjtm/fjsePH2PTpk1sWVN9lqkvWUIIIe+kwsJCnDhxAp6ens2yPUqYhBBC3jk///wzRo4cieHDh2PgwIHNsk06JUsIIYRIgY4wCSGEECk0/50NrURZWRn+/fdf6Orqsg/DE0IIqZtYLMazZ8/Qt2/fentYa6vabcL8999/2Q59CSGESO/IkSNSP9LUlrTbhFnVTdORI0dq7X6KEEKIpOzsbEyZMkWim7v2pN0mzKrTsJ07d5ZrbxSEENLWtdfLWHTTDyGEECIFSpiEEEKIFNrtKVlCyLutqKgIubm5EAqFLR1Km6SqqoquXbvW21F+e0MJkxDyzikqKmLHee3QoUOzDYPVXlRUVCAjIwN5eXn1Dvbd3tBPB0LIO6dqsHMVFRVKlk2Ay+VCX18fL168aOlQWhVKmISQd07V2Jqk6SgoKEAkErV0GK0KJUxCyDuJjiybFr2+NVHCJIS0a5mZmTA1NUVhfi5eFubjZWE+Sl7SqUhSEyVMQki7Y2tri99//x0AYGhoiKsJF8FUiCESCiASCiAWN+2pyMDAQISFhTXpNoj8vVMJs7CwEBMmTICZmRlbVlZWhpkzZ8LHxwdLlixpwegIIYS0Ze9UwlRVVcX+/fvRv39/tuzatWsYMGAADh8+DD6fj5SUlBaMkBDS2n311VfIzMzE7NmzYWZmhu+++w4Wg4ayN7jMmb8QEbt2w8vLC2ZmZpg9ezaeP3+OL774Aubm5nB3d0d6ejq7vkePHsHf3x+WlpZwcHDA6dOn693+0aNHERsbi3379rHr37t3Lz777DOJeiEhIQgJCQEA+Pr6YvPmzfDw8IC5uTnmzJmDwsJCtu7t27fh5eUFCwsLuLi4IDExUU6vFqnunUqYCgoK0NTUlCjr2rUrSktLAQAlJSVQV1dvgcgIIe+KjRs3wtDQELt27cKtW7cwduzYGnXO/3IBGzZswK+//oqnT5/Cy8sL7u7uuHHjBoyMjLBjxw4Ald8506dPh5OTE37//XeEhYVh5cqVePjwYZ3b9/T0hLOzMz755BPcunULu3btgouLC65evYqioiIAgEgkQnx8PNzc3NjloqOjsXbtWly7dg18Pp9Npjk5Ofj0008xZ84c3LhxAwEBAViwYAEKCgrk+KoRoAUTZmhoKGxtbWFsbCxxVJiamgpPT084ODjA09MTjx8/rnc9PXr0wM2bN9md3sDAoCnDJoS0A85O49C9e3eoq6tjxIgR6NatG4YOHQo+n48xY8YgKSkJAJCQkIAuXbrA3d0dfD4fH330ERwcHHD27NlGbU9PTw8WFhbsclevXkWnTp3Qt29fto6rqyt69eoFFRUVLFy4EGfPnoVYLEZMTAxGjBgBa2trcLlcDBs2DH379sWVK1fk94IQAC2YMO3s7HDkyBF06dJFojw4OBje3t44d+4cvL29sXz58nrXc/LkSTg6OuLMmTPo1KkT/vrrrxp1ioqKkJ6eLvGXnZ0t1/YQQtoObS0t9v9KSkrQ0dFhp5WVlVFSUgIAyMjIwJ07d2BhYcH+xcbG4tmzZ43e5vjx43Hq1CkAwKlTp+Dq6ioxv/rBgKGhIYRCIZ4/f47MzEycPXtWIob//Oc/MsVA6tdiXePVNvhofn4+kpKScODAAQCAk5MTVq9ejYKCAmhV24GrYxgGHTt2BABoamri5cuXNeocPHgQ27dvl2P0hBBSmcQGDhzIfmdJq7ZnHEeNGoUVK1YgJSUFCQkJ+OqrryTmZ2VlSfxfQUEBnTp1goGBAVxdXdlTtKTptKprmFlZWdDX12fHWuPxeNDT05PYUaZNm4bk5GRMmzYNKSkpcHJyQlRUFHx9fZGcnIyhQ4fWWK+fnx8uXrwo8XfkyJFmaxchpHXR0dFBWlraW69n5MiRePz4MaKjoyEUCiEUCnHnzh08evSo3uW0tbUlbhwCKo9kHRwc8MUXX+Djjz+GoaGhxPxTp07h4cOHKC0txdatW+Hg4AAejwcXFxdcvnwZV69ehVgsRnl5ORITE+ksWhNoVQlTGpGRkUhMTERkZCR69eqFjh07Yv/+/fj++++xY8cOKCgo1FhGQ0MDXbt2lfjr3LlzC0RPCGkNZs2ahZ07d8LCwgLnzp2TeT1qamrYt28fTp8+jeHDh8PKygqbNm2CQCCodzkPDw88fPgQFhYWmDt3Llvu5uaGlJSUGqdjgcprmIGBgRg2bBgEAgGWLVsGoPIoNyIiArt378aQIUNgbW2Nffv2oaKiQuZ2kdq1qtFKDAwMkJOTA7FYDB6PB7FYjNzcXLqRhxAiV6NGjcKoUaPY6UnubhAJK5Pczu1bwVdQZOctXrxYYtmhQ4fil19+Yafff/997Nmzp1Hbf++99xATE1Oj3NDQEMrKynBwcKgxr3v37vjiiy9qXV///v1x+PDhRsVAGq9VHWFqa2vDxMQEcXFxAIC4uDiYmJjUef2SEELaioqKChw4cACOjo5QU1Nr6XBILVrsCDMkJATnz59HXl4e/P39oampifj4eKxYsQKBgYGIiIiAhoYGQkNDWypEQkgbICgsREW1Qaa5CgpQfON57qYwbtw4ZGZm1ihfuXIlXFxcJMpKSkowbNgwGBoaYu/evU0eG5FNiyXMoKAgBAUF1Sg3MjLCsWPHWiAiQkhbVCEUoqKBa4pNIT4+Xuq6KioquHXrVp3zv//+e3mERN5SqzolSwghhLRWlDAJIYQQKVDCJIQQQqRACZMQQgiRQqt6DpMQQuoSc+URsvKLAQDmPRgUviyDprpyC0dF2hNKmISQd0JWfjGeZlf2Fd2vqyoEIsmebISiCijwa540U9bVbXDd6pradc6ra73vgvDwcJSUlCAgIKClQ2kTKGESQpARE4uy7BwAgHJnfXRxdW7hiBpPgc/F0ojfapRXCAVgKhh2msPlgFutJx8AEIuEYJjXCZjD4YLHr+xmc+3cYU0UMXnXUMIkhKAsOwclT5/WW+f2tXN4UfB6yKiOWrowtarZhVt7df78eWzZsgVKSkqwt7fHtm3bEBsbC19fXyQmJgIA0tPT4e7uzk5fuXIFO3fuhEAggIKCApYsWQJTU1NERUUhISEB27ZtA4Aa03v27MH58+chFouhr6+P1atXQ1dXFy9fvsSyZcuQkpICXV1ddO7cWWJoMvJ2KGESQqTyouAZCnIyWjqMVikvLw/ffPMNfvzxR7z//vv47rvvGlzm6dOniIiIwL59+6CmpoYHDx5g5syZSEhIqHe5mJgYpKWl4eeffwaXy8UPP/yA9evXY/PmzdixYwdUVVVx9uxZFBQUYMKECRg7dqycWkkoYRJC2gxRhQgMU+30K4cDLocDgKl7ITn4+++/8dFHH+H9998HAHh6emLTpk31LnP16lU8ffoUU6ZMYctEIhHy8vLqXe7SpUv4999/MX78eACAWCxm+55NTExke1DT0tLC6NGjZW4TqYkSJiGkzWAYBhXVkiO3afNkgzQ0NCQSeHl5ucT84cOHY8OGDTWW4/F4EsNzVV+OYRjMmTMHHh4eTRAxqc+7eesXaZUyYmLxaPde9i8jJralQyKkWZiamiIpKQmPHz8GALY/bHV1dQiFQjx58gQA2JGYAGDYsGG4evUqHjx4wJbduXMHANCjRw/cv38fAoEAAoFAYsxOW1tb/PDDD3jx4gUAQCAQ4N69ewCAwYMHIyoqCgDw/PlzXLhwoYla3D7RESaRG2luHCGkqQhFFdj42cgmWW9Dj5Voa2tj9erVmD17NpSVlWFvb8/OW7ZsGfz9/aGlpYWRI1/H995772Hjxo1YtmwZysrKIBQKYW5ujn79+sHU1BRDhgzBuHHjoKenh969e+PZs8obrtzc3FBYWAgfHx8AlUeckydPRu/evTF37lwsXboUY8aMga6uLiwsLOT+erRnlDAJIW2CAp+LvOICCMSvh/JS5ClAQ8CFqKSYLeMqKtZ4NvNlYT47gDQA8BUU2WczpX0G097eXiJRbt26FQDg4eEhcfp0/vz57P+trKxgZWVV6/pWrVpV57amTZuGadOm1ShXV1dHeHi4VPGSxqNTsoQQQogU6AiTEEKawP3791s6BCJndIRJCCGESIGOMEmzot5iCCHvKkqYpFlRbzGtFJdONhHSEEqYhLQz8fcvIqf4dW8y+qo6MNXVRcn/nyEkhNSOEiYh7UxOcR7SXmS+UarSIrHIEyMWQkdVq+YMVUCxk2a9y9Y3vBcjFoLDU3jL6Br2Zsfs0kpMTERoaCjbYQFpOpQwCWlDqg+yDAAG2qpwtTZqwYiaD4engCcHl9YYpotfATAV4moVueAqSiZAsUhYYwiwquG9DH3qfh6StC+UMAmRQvXxIoHWO2Zk9UGWSfP6+++/sWnTJhQXV/5gWbBgAT744AO4u7vDy8sLV65cQWlpKdasWcP2wHPkyBFERkZCTU0N1tbWEuura+gvAAgLC8Pp06ehoaEBS0vLZm1ne/ZOJczCwkJMnz4dqampuHXrFoDK0xheXl7o2bMnDAwMau3ImJC3Rd3+kfoUFRUhODgYe/bsgZ6eHnJzc+Hh4YHdu3ejsLAQpqamWLx4MU6dOoVNmzbhp59+wr1797Bz505ER0dDR0cHK1asYNdX39Bfly5dwqVLlxAdHQ1lZWXMmzev5RrezrxTCVNVVRX79+/HokWLJMqtra2xZs2algmqHrXdXGGZq4SipMqOklvrUQohpHFu3bqF9PR0zJw5ky3jcDgQiURQUVGBjY0NgMpO2kNDQwEAN27cwMiRI9kBnj09PXHmzBkA9Q/9lZiYCEdHR6iqqgKo7HovIiKiWdrZ3r1TCVNBQQGampo1yq9duwZvb294eXnBxcWl+QOrQ203VwjyVehIhZA2hmEYGBsb48iRIxLl6enpUFRUZKe5XC5EIpFU66xr6C/Sclrs4avQ0FDY2trC2NgYKSkpbHlqaio8PT3h4OAAT09Pdricuujp6eHs2bPYv38/jh49iufPnzdx5IQQIsnMzAxPnjzB9evX2bI7d+5IjIX5JktLS1y5cgX5+fkAgOPHj7Pz6hv6a/DgwThz5gxKSkogFotx4sQJeTeH1KHFjjDt7OwwdepUiVMOABAcHAxvb2+4uroiJiYGy5cvx6FDh+pcT/VfbxYWFkhLS0OnTp0k6hQVFaGoqEiiLDs7Ww6tIERS9Z6MqBej9qNjx46IiIjAxo0bsXbtWgiFQnTr1g3ffPNNncv07t0bs2fPxuTJk6GmpoYRI0aw8+ob+svGxga3b9+Gq6sre9NPTk5Ondsh8iOXhJmWlgYOh4OuXbtKvUxt47Tl5+cjKSkJBw4cAAA4OTlh9erVKCgogJZWLc9XASguLoaqqioYhsG///5bIwEDwMGDB7F9+3apYyNEVtSTUcthxEL08FvbJOuV5jnMfv364fvvv69RXv25yq5du0pMT5kyReI7q/r9GfUN/bV48WIsXrxYmvCJHMmUMD///HP4+PjA3NwcJ06cwMqVK8HlcrFs2TJMnDhR5mCysrKgr68PHo8HAODxeNDT00NWVhabMKdNm4bk5GRMmzYNS5cuRW5uLrZs2QIFBQU4ODhAT0+vxnr9/Pwwfvx4ibLs7Oxakysh5N3E4Sk0yXiYzdFpAXk3yJQw//jjD6xfvx4AEBkZiQMHDkBDQwPz5s17q4QpjcjISInpXr161fkrrIqGhgY0NDSaMCpCCCFtnUwJUygUQlFRETk5OSgsLMSAAQMAAHl5eQ0sWT8DAwPk5ORALBaDx+NBLBYjNzcXBgYGb7VeQggh5G3JlDBNTEywe/duZGRkYOTIkQCAnJwcqKmpvVUw2traMDExQVxcHFxdXREXFwcTE5M6r18SQgghzUWmx0rWrFmDlJQUlJeXsxepb926BWdn6R/CDwkJwYgRI5CdnQ1/f3+MGzcOALBixQocPnwYDg4OOHz4MFauXClLiIQQQohcyXSE2b17d2zevFmibMyYMRgzZozU6wgKCkJQUFCNciMjIxw7dkyWsAghhJAmI3XCrP5QbX08PDxkDoYQQghpraROmDExMRLTf/31F3R0dGBgYICsrCzk5eXB3NycEiYhpEWIxKImGQ9TJBaBz2u5XkSNjY3x119/sX3HkpYj9V5Q/YHc1atXw87ODtOmTWPLDh48iLS0NLkGRwgh0uLz+Fh2YYNEd3QcDgf8Co7EeJgcDgfcaj2EAYBIKKw5jqZC5fOXwTaN7yBAJBKBz3+nuuomUpDppp9Tp07B19dXoszHx6fGUSghhLQXxsbGCA8Ph7u7O7Zv345Xr15h2bJl8PDwgLOzM0JCQiAWVybu/fv3w93dHW5ubvD09ERycjK7nvPnz2PMmDFwdXXFjh072PK9e/dK3ASZl5eHoUOHorS0tPka2c7JlDB1dHRw6dIlibLLly/T4x+EkHZNSUkJJ06cwKJFi7Bu3ToMHDgQx48fR0xMDAoKCtiO0t3c3HDixAlER0dj4cKFCA4OBlCZBL/55htEREQgJiZGoq9sDw8PnD9/nh2g+ujRo3ByckKHDh2av6HtlEznDIKCgvDZZ59h37596Ny5M7KysvDw4UNs3bpV3vERQsg7o3oXnJcuXcKdO3fYvrHLysqgr68PAPj333+xe/duvHjxAhwOhx2V6e+//8ZHH32E999/H0DlGJmbNm0CAGhqasLW1hYxMTGYNGkSjh07VqPnM9K0ZEqYw4YNw8WLF3HlyhXk5uZi5MiRsLa2rjFKCCGEtCcqKirs/xmGQUREBLp16yZRRyAQYOHChTh8+DD69OmDnJwciZFK6uPj44Mvv/wS2traMDIywnvvvSfP8EkDZB4Ps1OnTnBzc8OsWbPg5uZGyZIQQqqxtbXFnj172OuWBQUFSEtLg0AggEgkYrv8/OGHH9hlTE1NkZSUxB5xvvlMurGxMTQ1NbF27Vp4e3s3T0MIS6YjzLS0NHz77bdITk5GSUmJxLyEhAR5xEUIIY0iEouwZtTXTbJeWR4rWbp0KTZu3AhXV1dwOBwoKChg6dKl6NatGxYsWAAPDw9oamrCweH1mKna2tpYvXo1Zs+eDWVlZdjb29dY78SJExEWFgYbG5u3ahdpPJkS5pdffolu3bohICCALjgTQloFPo/fJMN7SZss79+/LzGtpqZWZ9eeM2fOxMyZM9npTz/9lP2/vb29RKKcO3euxLKJiYmYMmUKuFyZTxASGcmUMB88eIAff/yR3rA2KubKI2Tlv/6CMdBWhau1UQtGRAjJycnB1KlToaurW2u3oqTpyZQwBw4ciKSkJPTt21fe8ZBWICu/GE+zX7Z0GISQavT19XHu3LmWDqNdkylhdunSBTNmzMDo0aOho6MjMW/hwoVyCYwQQghpTWRKmKWlpbCxsYFIJEJ2dra8YyKEEEJaHZkS5rp16+QdByGEkCZS8vIFxGIRAIDH40NFvWMLR/Rukrl34MePHyMuLg65ubnQ09ODk5MTPUTb3tFNYIS0SmKxSOIuYCIbmRLmpUuX8OWXX8LGxgaGhoZITU2Fu7s7NmzYADs7O3nHSFqh+PsXkVOcx07rq+rAVFcXJf9/4JqQ5lYhFDbJ8F4VQiG4/x+5pKX9+OOPKC8vlxgpijQfmRJmWFgYIiIiMHjwYLYsMTGRHfaLtH05xXlIe5H5RqlKrXUJaQ5cBQX8tWRpzWG6KgBGLK5WkVsjAYpFwhrDgvH4lXU+XrOq0bE01fBekydPlvs6ifRkekezs7NhYWEhUTZgwAC6AYi8E6o/Z0rPmBJ5MTY2xvz585GQkIDhw4eDx+OhpKQEAQEBAIDw8HB2Ojw8HKmpqXj58iXS0tLQvXt3bN26FR06dGhwXtU6oqKiEBcXBw0NDTx48ADq6uoIDw+Hrq4uBAIBVq9ejRs3bkBLSwtG7/dEXt4zrAtpfPInr8l00al3797Yv3+/RNmBAwdgYmIil6AIaUpVz5k+zX4p0UEDIW+r+vBeDfn333+xefNmnDlzBiKRCLGxsVLNq+7OnTtYNGMGTkRGomfXrji4dy+AyqG/MjMzER8fj8jISCQn35NL+9o7mY4wV6xYgTlz5uDQoUMwMDBAVlYWOnTogF27dsk7PkIIeWdUH96rIVZWVtDQ0AAA9OvXD0+fPpVqXnWmH38MvU6dUCEQoK+xMRJv3QJQeYnM1dUVfD4ffD4fDvaj8Nf/5xHZyZQwjYyMcPr0ady+fZu9S7Z///5QaCUXxgkhpCVUH96Lx+OhouL19dTy8nKJukpKShJ1q8+vb57EOqoNMM3jctmRUUjTkOmUbHJyMp49ewYLCws4OjrCwsICeXl5uHePDvsJIa1fRQUDsaii8k/MgMOR/yNRPXr0wN27d1FRUYFXr14160hOlpaWiI2NhUgkQnl5OX65cLHZtt2WybSXfPXVVxCJRBJlQqEQX331lVyCIoSQpsQwQAXDoIJhKieawOjRo9GxY0eMHTsWn332Gfr06dMk26mNl5cXdHV1MW7cOPj5+eG9996Dmqpas22/rZLplGxmZmaNUcS7d++OjIwMuQRVl8LCQkyfPh2pqam49f/z8Tdv3sSGDRvA5XJhb2+P6dOnN2kMhJDWqUIohPm6tU2yXmmew3xzeC9FRUXs2LGj1rqfffZZndPSzpswYQIchw9HhaCyQwKXMWPg5uLCbnvp0qVQU1ODQCDAzBmfwGbkiAbbQOonU8Ls3Lkz7t69K/GL6e7du9DT05NbYLVRVVXF/v37Je5A69atGw4fPgxFRUX4+vpi8uTJNEYnIe0QV0FB6vEwRcoaKCutrKegwIMCX4DyshK2TvXxMFtLpwWN5e/vD4FAgPLyclgMMMe4sWNaOqR3nkwJc9q0aZg7dy5mzJiB7t274+nTp9i/fz9mz54t7/gkKCgoQFNTU6JMX1+f/T+Px2sTY3TevnYOLwqesdMdtXRhauVQzxKEECLp2LFj7P/fHCCbyEamhDlp0iSoq6vj+PHjyM7ORufOnREQEIAxY6T/BRMaGopz584hIyMDsbGx6NWrFwAgNTUVgYGBKCwshKamJkJDQ6Xqo/a3335D9+7dJe4uq1JUVISioiKJstbcycKLgmcoyGna09uEEEIaR+a+m8aOHYuxY8fKvGE7OztMnToVU6ZMkSgPDg6Gt7c3XF1dERMTg+XLl+PQoUP1ris7Oxu7d+/Gzp07a51/8OBBbN++XeZYCaGO5QkhMiVMhmFw7NgxxMfHo6CgALGxsfjzzz/x7NkzODo6SrWON7vWA4D8/HwkJSXhwIEDAAAnJyesXr0aBQUF0NKqpVNlAAKBAIGBgVixYgVUVVVrrePn51fjgeLs7OwayZqQKtU7l6eO5QkhgIyPlWzduhXHjx/HpEmTkJWVBaDyRqC9/++WSVZZWVnQ19cHj8cDUHlNUk9Pj90GUHn9NDk5GdOmTUNKSgpiY2Px8OFDBAcHw9fXFzk5OTXWq6Ghga5du0r8de7c+a1iJW1bVefyaS8yJUZlIYS0XzIdYZ48eRInT56ElpYWVqxYAQDo2rUr0tLS5BlbrSIjIyWme/XqBXd39ybf7puqd+ANUCfehBDS1smUMMViMXv6k8PhAACKi4sluoWShYGBAXJyciAWi8Hj8SAWi5GbmwsDA4O3Wm9TqOrAmxDSOohFFY0aD1NNvfoNgh2got6xzvXy+PK/hr1161Z8+OGH9V7GSk5ORmpqqtSXuqpLT0+Hu7s7EhMT3yZMUo1MCdPa2hrr1q3D0qVLAVRe09y6dStsbGzeKhhtbW2YmJggLi4Orq6uiIuLg4mJSZ3XLwkhpAqPz8Xe8F/BoNq4luCAz3DeGA+TA4bLR0UFUzUJDodBRcXrOhwOlx0P02/ukCaJd+HChQ3WSU5ORkJCgkwJk8ifTAlzyZIlCAgIwIABAyASiWBmZoZhw4YhNDRU6nWEhITg/PnzyMvLg7+/PzQ1NREfH48VK1YgMDAQERER0NDQaNQ6CSGkpfz999/YtGkTiosrL9UsWLAAv/zyC3r16gU/Pz8AQEpKCubMmYMLFy5gyZIl6Nu3L3x8fCAQCBAWFoarV6+Cy+WiW7duCAkJwbZt2/Dq1Su4urpi4MCBCAoKkthOhVCIOdOmYfjgwQCAn06cwJETJ6CmpgZra+sWey3aKpkSppqaGnbs2IH8/HxkZGTAwMAAurq6jVpHUFAQgoKCapQbGRlJPHBLCCGtXVFREYKDg7Fnzx7o6ekhNzcXHh4e2LJlC9asWcMmzKioKIwfP569lFVlz549SEtLQ1RUFBQVFVFQUIBOnTphwYIFSEhIwLZt22rdTlpyMrxnzMDx/fuRlZODvYcOIfrUKejo6LD3lxD5kSlhFhQUQElJCdra2tDU1ER0dDR4PB5cXFzaRE87hBDSGLdu3UJ6ejpmzpzJlnE4HCgpKaG4uBj379+HkZER4uLicPTo0RrLX758GYGBgVD8/3BddV2GenM7jEgEDoeDpxkZ+PvuXQwfOhQ6OjoAAE9PT5w5c0beTW3XZEqYn376KVauXImPPvoIYWFhuHz5Mvh8PpKSktjrmoQQ0l4wDANjY2McOXKkxjw3NzecPHkSlpaWMDIyQpcuXeS2nbJnz9jO1/++e1fm9RLpyHQ4+PjxY5iYmAAATp06he+++w4HDx7E6dOn5RocIYS8C8zMzPDkyRNcv36dLbtz5w4YhoGbmxvi4uJw7NgxTJgwodblbWxscPDgQQj+n/wKCgoAVF7+evny9d34tW3n7r17YBgGFv374+offyA/Px8AcPz4cbm3s72T6QiTy+VCKBQiNTUV6urqMDQ0REVFBXuxmxBCmptYVIEZn8l/CCtpHivp2LEjIiIisHHjRqxduxZCoRDdunXDrl27YGhoiA8++AA3btzAli1bal1+1qxZ2Lx5M9zc3KCgoIAePXpg27ZtGDJkCPbv3w8XFxdYWloiKChIYjuCsjJ06dwZW9esQS8jI8z4/4hNampqGDGChvOSN5kS5ogRI7Bw4UIUFhaytzs/fPhQYuQQQghpTjw+t0mG95L2Gcx+/frh+++/r3Xemx2uAMD69etfx6moiCVLlmDJkiUSddTV1fHTTz/VuZ3qp2QBwMvdHdOqjRpVfShE8vZkSphr1qzByZMnwefz4erqCgB4/vx5jYFPCSGEkLZCpoSpqKgIT09PVFRUIC8vDzo6Ohg0aJC8YyOEEEJaDZlu+nn16hUCAgLQr18/jBgxAv369UNAQIDExWlCCCGkLZEpYYaEhKCkpASxsbG4c+cOYmNjUVpaipCQEHnHRwghhLQKMp2SvXr1Ki5cuIAOHToAAHr27Il169Zh9OjRcg2OEEIIaS1kOsJUUlJinxOq8vz5c7aXCkIIIaStkekI08PDA9OnT8e0adNgaGiIzMxMREZGYtKkSfKOjxBCpCIWiZpoeC8ReHyZvirrRcNvvXtk2gvmzp0LPT09xMXFITc3F3p6epgxYwY8PDzkHR8hhEiFx+fj510hqGBeD+/F5XDAq+CAkRi6S3J4L87/h/eSqMN9PbzX+JkBzdQC0to1+pSsWCyGr68vXFxcEBkZidOnTyMyMhITJ06s0QM/IYS0B+np6RKP1lVNV/0bFhYGNzc3ODg44ObNmzWWFwgEWLRoEdavXw+GYeDr64vQ0FBMnjwZdnZ22LRpE1v3yZMn8PPzg7OzMzynT8dvN24AAI7HxmLt5s0AKrvlMzY2xp07dwAA6zdsRHRMLADAYtBQ7Nq1C+7u7rCzs8O5c+ea7HVpaxqdMHk8HtLT08FU+xVHCCGkdoWFhTA1NUV0dDTmzZsnkfyq5n/yyScwNzdHYGAge+CRlZWFI0eOIDo6GseOHcPjx48BAF9++SWcnJwQGxuLtd98g6C1a1FQWAhLc3Mk/uc/AIA//vgDZmZmbJ+zN/78DywszNltqqmp4cSJE9iwYQM93dAIMt30M2/ePAQHByMjIwNisRgVFRXsHyGEkNdUVFRgY2MDADA1NUVaWho7TyAQwNvbG97e3pg6darEcmPGjAGXy4W6ujqMjIzw9OlTvHr1CsnJyXB3dwcAGPXsiV4ffIB/kpLQvUsXlJeXIzs7G3/88QcWL16MP/74A1lZWRAKBehabZSUqi5NTU1NkZubi/Ly8qZ+GdoEma5hVg38HBMTw5YxDAMOh4Pk5GT5REYIIe8IPp8vcdategKq/vQAl8uFSCRipxUUFNC/f39cunQJ9vb24PF47Dwlpdc3JfF4PIjFr6+x1mXggAG4fPky8vPzMWjQIKxevRoJCQmwGDBAol7Vuqu2JxKJJLZHaidTwrx48aK84yCEkHeWjo4OhEIhnjx5gh49eiAuLk6q5TgcDtauXYtVq1Zh8eLF2Lx5MxQUFOqsr6amBhMTE5w8eRLu7u747+PHSHn0CB9/9BEAYNCAAYj47jtYWVkBAMzNzfHdd99h9qwZb99IItspWV1dXejp6aFLly7sn56eHnR1deUdHyGEtHp8Ph/Lli2Dv78/PDw8JI4UG8LhcBAcHIwuXbpg3rx5DZ4e3bRpE06dOgVnZ2csWbUKIUuWQEtTEwBgOWAAMjIyMGTIEADA4MGDkZGRgYEWA+pZI5GWTEeY/v7++Oqrr2BqasqW3b17F5s3b65zeBtCCGlKYpEIk2YHNcl6pXkO08PDQ+LRuvnz5wOAxHOWXbt2Zaer/x8AAgJeP77y5vdo9ekePXrg4MGDAGoO76Wno4P79++z046OjnB0dMTLwnyIhJX1bib+DlVVVbZO9fqkfjIlzJSUFPTv31+irF+/frh3755cgiKEkMbi8flNNB6m/DstkIboVSGYam3h8BTAV9NskVhIJZlOyaqrqyMvL0+iLC8vj+1blhBCyNthxEIwIsHrv2rJk7QMmRKmvb09vvjiC6SkpKC0tBT3799HQEAAxo4dK+/4CCGEkFZBpoS5ePFiGBkZYeLEiTA3N4enpyd69uyJzz//XN7xNUgoFGLhwoXw9fXF3r17m337hJDmxzAMGIae+25K1DlNTTKdnFdSUkJwcDCWL1+O58+fo1OnTi3WLd4vv/wCMzMzTJs2DYsXL0ZBQQG0tGrpgJkQ0mY8KxJDMzcHndQUoaCgQN1yyhnDMMjPz4eysnJLh9KqSJ0w09PT0bVrVwCQ6KkCAIqLX19Q79atm5xCkz6ujz/+GABgZGSEf/75B9bW1s0aAyGkef35sBzgvIQi74lERwCvBMUQVetEnc/lQVnEkbiTlMPjoUKhA4TCyno8Hgc8rpi9ixQAuDwelFVym6EldROXvgSqd1bA44HXQfLeEeHLl2Cq1eHweFB44/4SACgreYWK/9eTtm3Kysrsdz6pJHXCdHZ2xq1btwAAo0ePruzx/41D9rft6Sc0NBTnzp1DRkYGYmNj0atXLwBAamoqAgMDUVhYCE1NTYSGhuK9994DUDl49Y0bNzB48GDcvHmTLSeEtF0MA2QXceH24YcS5fv/Ooq0F5nsdLeOhnBIU0HBn3+yZSrduyPX2BYpSTkAAN3O6jDQy8bT5NtsHS39LjBz8WnaRjQg79xeCJ49ZacVdbtDx0GyA4JHu/ei5OnrOirdu8Po05qdFFw5dRgFORkAWkfb3lVSJ8yqZAmgyR4fsbOzw9SpUzFlyhSJ8uDgYHh7e8PV1RUxMTFYvnw5Dh06BACwtbXFtWvX4O/vDy0tLWhra9dYb1FREYqKiiTKsrOzm6QNhJCWw+XIdFsGIVJpmQeM6mBhYVGjLD8/H0lJSThw4AAAwMnJCatXr2avVfJ4PKxcuRIMwyAgIECiM4UqBw8exPbt25s6fEJIM3t59xrK0yt/wPM19aGjqYUnhektHBVpq2RKmJmZmdi+fTuSk5NRUlIiMU/eY6tlZWVBX1+f7WqKx+NBT08PWVlZ0NLSQmZmJgICAsDhcODn51frs6B+fn4YP368RFl2dnaNI1lCyLtF/Oq5xGlLaPZsuWBImydTwly4cCHef/99LFiwoMXvojI0NGywOz4NDQ1oaGg0U0SEEELaIpkS5n//+18cPXoUXG7TXy8wMDBATk4OxGIxO8RNbm4uDAwMmnzbhBBCSBWZMp6NjQ1u3Lgh71hqpa2tDRMTE3a4nLi4OJiYmNCzloQQQpqVzANIe3l5oXv37jXuSl23bp3MwYSEhOD8+fPIy8uDv78/NDU1ER8fjxUrViAwMBARERHQ0NBAaGiozNsghBBCZCFTwlyyZAl4PB6MjIzkOkp3UFAQgoJqDs9jZGSEY8eOyW07hBBCSGPJlDCvX7+Oq1evQk1NTd7xEEIIIa2STNcwjY2NUVhYKOdQCCGEkNZLpiPMwYMH45NPPsGECRNqXMOsPuI4IYQQ0lbIlDD/85//QE9PD9euXZMo53A4lDAJIYS0STIlzIY6CiCEEELaGuqpmBBCWiPqSL7VaVWdrxNCSHsVc+URsvIrxxY20FaFdUddCHIft2xQRAIlTEIIaQWy8ovxNPvl64IuLRcLqR0d8xNCCCFSkPoIMy0tTap63bp1kzkYQgghpLWSOmGOHj0aHA4HDMPUWYfD4SA5OVkugRFCCCGtidQJ8969e00ZByGEkMZqhiEWyWt00w8hhLwjfn96E/fyHgEA9FV1YKqri5LHj1s2qHZEpoQpEonwww8/4M8//8Tz588lTtMeOXJEbsERQgh5raD0BdJeZFYrUWmxWNojmY7n161bh6NHj8LCwgJ3796Fvb098vPzMXjwYHnHRwghhLQKMiXM8+fP47vvvoOfnx94PB78/PywY8cOJCYmyjs+QgghpFWQKWGWlZXBwMAAAKCsrIzS0lIYGRkhKSlJrsERQgghrYVM1zCNjIzwzz//oF+/fujbty/Cw8OhpqYGfX19ecdHCCGEtAoyHWEuXboUPB4PABAYGIikpCRcvnwZq1evlmtwhBBCSGsh0xGmgYEBdHV1AQDvvfceIiMjAQDPnj2TW2CEEEJIayLTEaaDg0Ot5ePGjXurYAghhJDWSqaEWVv3eK9evQKHw3nrgAghhJDWqFGnZK2trcHhcFBeXo6RI0dKzCssLKQjTEIIIW1WoxLmxo0bwTAMZs2ahQ0bNrDlHA4H2traeP/99+UeoDR++uknnDlzBhUVFdi/fz8UFBRaJA5CCCFtV6MSpqWlJQDg+vXr6NChQ5ME1FiZmZlISUnBwYMHWzoUQgghbZhM1zD5fD62bdsGOzs7fPzxx7Czs8O2bdsgEAjkHV+DfvvtN5SWlmLq1KkIDw9v9u0TQghpH2RKmBs3bsTvv/+OlStXIiYmBitXrsT169exadOmtwomNDQUtra2MDY2RkpKCluempoKT09PODg4wNPTE4+r9c6fn58PADh06BDS09NpPE5CCCFNQqaEefbsWezcuRNWVlZ4//33YWVlhe3bt+PMmTNvFYydnR2OHDmCLl26SJQHBwfD29sb586dg7e3N5YvX87OU1dXZ08VW1hYIDU1tcZ6i4qKkJ6eLvGXnZ39VrESQghpX2TquKC2x0rqK5eWhYVFjbL8/HwkJSXhwIEDAAAnJyesXr0aBQUF0NLSgqmpKeLi4gAAKSkpcHJyqrGOgwcPYvv27W8VGyGEkPatUUeYVYlpzJgxmDNnDq5evYpHjx7h119/xbx58zB27Fi5B5iVlQV9fX22Kz4ejwc9PT1kZWUBAPr06QORSARfX1+UlZWhf//+Ndbh5+eHixcvSvzRuJ2EEEIao1FHmMuXL4eTkxO++uor7Ny5E6tWrUJubi709PQwbtw4zJ07t6nirNeyZcvqna+hoQENDY1mioYQQkhb1KiEWXXKVVFREQsXLsTChQubJKjqDAwMkJOTA7FYDB6PB7FYjNzcXHZ4MfJu4XBlumxOCCEtrlEJs6KiAtevX6/3WuWQIUPeOqjqtLW1YWJigri4OLi6uiIuLg4mJibQ0tKS63ZI0/j3Vgaepj4HAGhpq0BdUxv5WWktHBUhhDReoxKmQCDAsmXL6kyYHA4HFy9elDmYkJAQnD9/Hnl5efD394empibi4+OxYsUKBAYGIiIiAhoaGggNDZV5G6R5vXxRjmfZL9lpA70WDIYQQt5CoxJmhw4d3iohNiQoKAhBQUE1yo2MjHDs2LEm2y4hhBDSELqgRAghhEihUQnzbZ+zJIS8u+iGLdLeNeqU7K1bt5oqDkJIK1L9Zi2AbtgiBJCxpx9CSO3aylHYmzdrAXTDFiGUMAmRER2FEdK+UMIkREZ0FEZI+9I2zh8RQgghTYwSJiGEECIFSpiEEEKIFChhEkIIIVKghEkIIYRIgRImIYQQIgVKmIQQQogUKGESQgghUqCESQghhEiBEiYhhBAiBUqYhBBCiBQoYRJCCCFSoIRJCCGESIESJiGEECIFSpiEEEKIFChhEkIIIVKghEkIIYRI4Z1PmHfu3IGXlxe8vLwQFhbW0uEQQghpo/gtHcDbMjExwU8//QQA8PPzw6tXr6CmptbCURFCCGlr3vkjTAUFBQCAWCyGnp4elJWVWzgiQgghbVGrSpihoaGwtbWFsbExUlJS2PLU1FR4enrCwcEBnp6eePz4scRysbGxcHR0hIaGBvj8d/6gmRBCSCvUqhKmnZ0djhw5gi5dukiUBwcHw9vbG+fOnYO3tzeWL18uMd/Z2RlnzpxBbm4u7t+/X2O9RUVFSE9Pl/jLzs5u0rYQQghpW1rV4ZiFhUWNsvz8fCQlJeHAgQMAACcnJ6xevRoFBQXQ0tKCQCCAoqIiuFwuVFVVoaSkVGMdBw8exPbt25s8fkIIIW1Xq0qYtcnKyoK+vj54PB4AgMfjQU9PD1lZWdDS0sLFixfxww8/oKKiAhYWFnjvvfdqrMPPzw/jx4+XKMvOzsaUKVOaowmEEELagFafMBsyduxYjB07tt46Ghoa0NDQaKaICCGEtEWt6hpmbQwMDJCTkwOxWAyg8m7Y3NxcGBgYtHBkhBBC2pNWnzC1tbVhYmKCuLg4AEBcXBxMTEygpaXVwpERQghpT1rVKdmQkBCcP38eeXl58Pf3h6amJuLj47FixQoEBgYiIiICGhoaCA0NbelQCSGEtDOtKmEGBQUhKCioRrmRkRGOHTvWAhERQgghlVr9KVlCCCGkNaCESQghhEiBEiYhhBAiBUqYhBBCiBQoYRJCCCFSoIRJCCGESIESJiGEECIFSpiEENLGcbj0VS8PrarjAkIIIW/n31sZeJr6nJ3W0laBuqY28rPSWjCqtoESJiGEtCEvX5TjWfZLiTIDvRYKpo2h43RCCCFECpQwCSGEEClQwiSEEEKkQAmTEEIIkQIlTEIIIUQKlDAJIYQQKbTbx0rEYjEAIDs7W6blXzzPRXFR8etppVKkp6dL1nn2HK+Kil5PCzogu6AMhcWVy3V48QJKbywDAHkFhSh88fq28AqFwhrrbkryaBtQ2b68vBwUFj0DAPCUSsHj5qOgBdsGSLavtrYBku2Tpm1Azfa1dNsA2ffLhtoGtI79MlOxAGWFlWUK3Bco6JCPV3ltY7+s3jagZvtaYr+s+r6s+v5sbzgMwzAtHURLuHnzJqZMmdLSYRBCyDvnyJEjsLCwaOkwml27TZhlZWX4999/oaurCx6P1yzbzM7OxpQpU3DkyBF07ty5WbbZXKht76623D5qm3yJxWI8e/YMffv2hbKycrNsszVpt6dklZWVW+wXUufOndG1a9cW2XZTo7a9u9py+6ht8tOjR49m21ZrQzf9EEIIIVKghEkIIYRIgRImIYQQIgVKmM1IQ0MD8+fPh4aGRkuHInfUtndXW24ftY3IU7u9S5YQQghpDDrCJIQQQqRACZMQQgiRQrt9DpPUztbWFoqKilBSUmLLdHV1YWdnh8mTJ7NlDMNg1KhRWLduHdLT05GQkIBt27YBAJ49e4aNGzfiP//5DzQ0NMDj8TBp0iTk5+fj7NmzAICnT59CS0sLampqAIBdu3bBwMCgGVta6c32Dho0CEuXLsWiRYtw/fp1XL16FQoKCmx9Y2Nj/PXXX1BVVYWvry+mT58OGxubZo+7utraoK6ujpKSEgQEBCAxMRFTp07FF198gVmzZgEAEhMTERoaiqioKACS7bp+/To2b94MgUAAgUAAXV1dREZGgsvl1trmBQsWYOTIkZgwYUKzt3vXrl3o1asXSktLMX/+fOjp6UEkEqF///7w8fFBVFSUxL5Z5c32twbV21MlKysL69atw927d8HlctG9e3cEBASwdTIyMrBy5UpkZWUBABQUFLB+/XpcvHix1X3W2gJKmP9na2sLFRUVnDp1Clwuly2r2oF//vlnHDx4EBUVFaioqMD48eMxa9Ystu6bdu7cWe8O+/XXXyMzM5MtA4Dg4GCYm5vD19eXnVdWVgZXV1fMnTsXAJCeng47Ozs4ODhIfAkEBgbi5MmTiI2NlfjAyWLbtm0S6zhz5gwOHDggkTATExPB5XIxcOBAiX4pS0tL4ePjgwkTJmD9+vXgcrl4+fIl4uPjMWfOHMyZMwcAWk2yAWq2t7CwEL///jt69uyJS5cuwcHBoQWjk86bbQgPD5eYr6uri4MHD8LLy6vem0REIhEWLFiAQ4cOoXfv3gCApKQkcDicpglcDoqKijBr1ix8/PHHWLp0KZYsWdLSIcmFUCjE9OnTMWnSJPazfvbsWfj7++P06dPo2LEjVq5ciREjRsDHxwcAkJOTAz6f32o/a+86SpjVlJSUICYmBuPHj5coj46OxsGDB/Hdd9/B0NAQL168wLx581BRUcEmsjdJs8MGBQXVuRNXzcvNzYWjoyOGDRuG/v37AwA0NTWRkpKCFy9eoGPHjiguLsbNmzehr6//ti9Brezs7LBixQo8evQIRkZGAICoqChMmDChxhdpXFwcNDU18emnn7Jl6urq8PLyapLYmkJsbCysra1hZWWFEydOvBMJsyF6enowMzPDd999hy+++KLOesXFxSgpKYGOjg5b9tFHHzVHiDLJz8/H119/DVtbWyxYsKClw5Gr+Ph4qKurw9/fny0bM2YMzp49i8OHD2PevHnIzs6W+Nw31XcAqUTXMKuZP38+tm/fDoFAIFEeHh6OgIAAGBoaAgD7y2737t016sqbnp4eevbsiczMTIlyR0dHxMXFAaj81Tlq1Cjw+fL5/bNgwQK4urrC1dUVEyZMgKKiIpydnXHixAkAwKtXr3DhwoUaPywA4O7du+jXr59c4mgu1dt79epVnDhxAhMmTIC9vT1u376NnJyclg6xQW+2oTZz5szB8ePHkZubW+d6OnbsiEmTJsHe3h6zZ8/Gnj172NN9VUJCQthtubq64vfff5drWxpj0aJFsLGxaXPJEgDu37/P/kiuztTUFPfv3wcAzJgxA19//TV8fHywceNG3Llzp7nDbFcoYVbTt29f9OnTBz/++CNbxjAM0tPTYWpqKlHXyMgIfD4fjx8/lnl7b37x5Ofn16iTmpqKwsJCDBo0SKJ8/PjxiImJAVB5BFxb8pLVtm3bEBMTg5iYGPYaj4eHB06dOgWxWIwzZ87A3Ny8zXRmXb292traKCoqwuDBg9GhQwfY29sjOjq6pUNsUPU2DB8+vNY6Ojo6mDRpEiIiIupd1/LlyxETEwM7Ozv8888/cHJyktjPg4KC2G3FxMRg6NCh8mxKo1hbW+P06dPvxI+axpLmiT8XFxdcunQJ3t7eKC0thZ+fH/tDmsgfJcw3LFq0CN999x2Kq40xV5e3va7z5hePtrY2Oy8kJATjxo2Do6MjpkyZAi0tLYllu3XrBiUlJVy5cgUlJSUwNjZ+q1ga0rt3b+jp6eHXX3/FiRMn4O7uXmu9Pn364J9//mnSWJrSiRMnUFRUBDs7O9ja2iIhIaFV3RjytmbMmIELFy7g6dOn9dbr1q0bJk6ciPDwcJiZmeHy5cvNFGHjzJgxAxMmTMDUqVPbXNLs3bs3/v777xrlt2/flrhe3alTJzg6OmL58uWYM2cOJcwmRAnzDe+//z6sra1x4MABAJVJsWvXrrh9+7ZEvUePHkEoFDZZz/1BQUGIj4/H4cOHERYWxp6Cqc7NzQ1ff/013NzcmiSGN7m7uyM8PByPHz+GnZ1drXXGjRuHgoIC7N27l/2F/OrVKxw9erRZYnwbAoEAcXFxOHHiBC5duoRLly7h2rVrACrHT20Lqq6J7dy5s9b5xcXFuHbtGvveFRUVIT09vVWP9PHpp59i/PjxbS5pOjo64sWLF+x3EVB5+eXGjRvsTT4JCQkoLy8HUDn01v3791v1e/Wuo5t+avHZZ59hwoQJ7Kji8+fPx4YNG/Dhhx/CwMAAL168wIoVKzBz5kyJxy+awoABA+Dt7Y2tW7fWOJU2ZswY5Ofnw9nZWa7bXLBggUS7QkJC8PHHH8PJyQmhoaGYNGkSFBUVa11WRUUF33//PTZu3Ag7OzuoqqqCz+fD29tbrjE2hQsXLqB79+41fgRVXb+tbTi4wMBAiddqz5497N2lrZWPjw8OHTpU6zyGYXDkyBGsXr0aSkpKEIvFcHZ2xujRo5s5ysaZPXs2GIbB1KlT0aVLF4l5V65cwYgRI9jpCRMmYMiQIUhJSZEoHzp0KNavX99sMdfG399fYnzeH3/8EevXr8f3338PLpeLbt26Yf/+/dDU1ATw+vEYPp8PsViMvn37YuHChS0UfdtHXeP935vPQIWGhmL//v3sYxo//vgjvv/+ezAMA7FYDFdXV8yZM6fOx0qqq+0u2eqPjlRZsGAB7OzsatQvKirC6NGjceDAAWhoaMDd3R2JiYkNtoEQQoj8UMIkhBBCpEDXMAkhhBAp0DXMt5ScnIzAwMAa5T4+Ppg4cWILREQIIaQp0ClZQgghRAp0SpYQQgiRAiVMQgghRAqUMAl5B2VmZsLMzIx9Vljexo0bV+ujS4S0Z5QwSZtja2sr1w7Bo6KiJIY2q42vry+OHTsmt202xNDQELdu3ZJ4yF1WgYGBCAsLkyiLj4+v0X8xIe0dJUxCWoGmOlIkhMgPJUzSbrx48QKffvopBg8ejIEDB+LTTz9FdnY2Oz8qKgp2dnYwMzODra0tTp06hUePHiE4OBi3b9+GmZlZrd3jhYWF4ebNm1i1ahXMzMywatUqAJX9Dfv7+8PS0hIODg44ffo0u0xgYCCCg4Mxc+ZMmJqaIjExEba2tti7dy+cnZ1hamqKpUuXIi8vDzNmzICZmRmmTZuGFy9eAKgcSNzY2BgikQhA5RHut99+Cy8vL5iZmWH69OkoKChgt7dgwQIMGzYMAwYMwJQpU/DgwQMAwNGjRxEbG4t9+/bBzMwMs2fPBiB5lC4QCLBmzRpYWVnBysoKa9asYYe1S0xMxIgRI7B//34MGTKEHUOUkDaJIaSNsbGxYX777bca5QUFBczZs2eZkpIS5uXLl8xnn33GzJkzh2EYhikuLmbMzMyYR48eMQzDMDk5OUxKSgrDMAxz4sQJxsvLq95t+vj4MD///DM7XVxczIwYMYI5fvw4IxQKmbt37zKWlpbMgwcPGIZhmICAAMbc3Jy5efMmIxaLmbKyMsbGxoaZOHEi8+zZMyY7O5sZPHgw4+bmxty9e5cpKytjfH19mfDwcIZhGCYtLY3p1asXIxQK2e3b2dkx//3vf5nS0lLGx8eH2bhxIxvPsWPHmJcvXzLl5eVMSEgI4+Liws4LCAhgtmzZUudr+O233zITJ05k8vLymPz8fMbT05MJCwtjGIZhrl+/zpiYmDDffvstIxAImISEBKZfv35MYWFhA+8SIe8eOsIk7UanTp3g4OCADh06QE1NDXPmzMGff/7JzudyuXjw4AHKysqgp6eHDz/8UOZtJSQkoEuXLnB3dwefz8dHH30EBwcHnD17lq1jZ2eHAQMGgMvlsh24+/j4QEdHB/r6+rCwsEC/fv3w0UcfQUlJCaNHj0ZSUlKd25wwYQJ69uwJZWVljBkzBsnJyew8Dw8PqKmpQVFREZ999hnu3buHly9fStWW2NhYzJs3D9ra2tDS0sK8efNw6tQpdj6fz8e8efOgoKAAa2trqKioIDU1tbEvGSGtHvX0Q9qN0tJSrFu3DlevXmVPbRYXF0MsFkNFRQVhYWHYv38/li1bBnNzcwQEBMDIyEimbWVkZODOnTsSp3DFYjFcXFzYaQMDgxrL6ejosP9XUlKSmFZWVkZJSUmd29TV1WX/36FDB7auWCxGWFgYzp49i4KCAnbAgOfPn0NdXb3BtuTm5sLQ0JCdNjQ0RG5uLjutqakJPv/1V0n1bRPSllDCJO3G/v37kZqaip9//hm6urpITk6Gm5sbO/bj8OHDMXz4cJSVleHbb7/FN998gx9++EGmgcINDAwwcOBAibEMW0psbCwuXryIAwcOoGvXrnj58iUGDhzItruh9unp6SEzM5M94s7KyoKenl6Tx01Ia0OnZEmbJBQKUV5ezv6JRCIUFxdDSUkJGhoaKCwsxPbt29n6eXl5uHDhAkpKSqCoqAgVFRX2SExbWxs5OTnsjS610dHRQVpaGjs9cuRIPH78GNHR0RAKhRAKhbhz5w4ePXrUdI2uQ3FxMRQVFdGpUyeUlpZiy5YtEvO1tbWRnp5e5/Ljxo3Dzp07UVBQgIKCAuzYsUPuY7AS8i6ghEnapFmzZqFfv37sX3h4OPz8/FBeXo7BgwfD09MTw4cPZ+tXVFQgMjISw4cPh6WlJf7880+sWLECADB48GB88MEHsLKyqvPZxKlTp+LcuXMYOHAgQkJCoKamhn379uH06dMYPnw4rKyssGnTpnqTblNxc3ODoaEhhg8fjnHjxsHU1FRivoeHBx4+fAgLCwvMnTu3xvJz585F37594eLiAhcXF/Tp06fWeoS0ddT5OiGEECIFOsIkhBBCpEAJkxBCCJECJUxCCCFECpQwCSGEEClQwiSEEEKkQAmTEEIIkQIlTEIIIUQKlDAJIYQQKVDCJIQQQqTwP0eIcp1yl+SNAAAAAElFTkSuQmCC\n",
@@ -414,16 +336,6 @@
      "metadata": {},
      "output_type": "display_data"
     },
-    {
-     "data": {
-      "image/png": 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\n",
-      "text/plain": [
-       "<Figure size 432x288 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
     {
      "data": {
       "image/png": 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\n",
@@ -464,7 +376,6 @@
     "    graph_1(df, cluster)\n",
     "    plt.figure()\n",
     "    graph_2(df, cluster, totals)\n",
-    "    plt.figure()\n",
     "    \n",
     "    if dft is None:\n",
     "        dft = df\n",
@@ -481,8 +392,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 85,
-   "id": "verbal-treaty",
+   "execution_count": 7,
+   "id": "pointed-bleeding",
    "metadata": {},
    "outputs": [
     {
@@ -772,7 +683,7 @@
        "35             LOST   unknown    11733560670807780"
       ]
      },
-     "execution_count": 85,
+     "execution_count": 7,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -780,38 +691,6 @@
    "source": [
     "dft"
    ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "relative-commercial",
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "mature-silence",
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "gentle-orange",
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "expressed-keeping",
-   "metadata": {},
-   "outputs": [],
-   "source": []
   }
  ],
  "metadata": {
diff --git a/task_slowdown/a_state_changes.json.gz b/task_slowdown/a_state_changes.json.gz
new file mode 100644
index 00000000..f03613f9
Binary files /dev/null and b/task_slowdown/a_state_changes.json.gz differ
diff --git a/task_slowdown/b_state_changes.json.gz b/task_slowdown/b_state_changes.json.gz
new file mode 100644
index 00000000..e41fff72
Binary files /dev/null and b/task_slowdown/b_state_changes.json.gz differ
diff --git a/task_slowdown/c_state_changes.json.gz b/task_slowdown/c_state_changes.json.gz
new file mode 100644
index 00000000..cd0749c3
Binary files /dev/null and b/task_slowdown/c_state_changes.json.gz differ
diff --git a/task_slowdown/d_state_changes.json.gz b/task_slowdown/d_state_changes.json.gz
new file mode 100644
index 00000000..042193cf
Binary files /dev/null and b/task_slowdown/d_state_changes.json.gz differ
diff --git a/task_slowdown/e_state_changes.json.gz b/task_slowdown/e_state_changes.json.gz
new file mode 100644
index 00000000..cf9c4991
Binary files /dev/null and b/task_slowdown/e_state_changes.json.gz differ
diff --git a/task_slowdown/f_state_changes.json.gz b/task_slowdown/f_state_changes.json.gz
new file mode 100644
index 00000000..94cd3ba9
Binary files /dev/null and b/task_slowdown/f_state_changes.json.gz differ
diff --git a/task_slowdown/g_state_changes.json.gz b/task_slowdown/g_state_changes.json.gz
new file mode 100644
index 00000000..24393151
Binary files /dev/null and b/task_slowdown/g_state_changes.json.gz differ
diff --git a/task_slowdown/h_state_changes.json.gz b/task_slowdown/h_state_changes.json.gz
new file mode 100644
index 00000000..f0a008ad
Binary files /dev/null and b/task_slowdown/h_state_changes.json.gz differ
diff --git a/task_slowdown/task_slowdown.ipynb b/task_slowdown/task_slowdown.ipynb
new file mode 100644
index 00000000..0f7c9375
--- /dev/null
+++ b/task_slowdown/task_slowdown.ipynb
@@ -0,0 +1,218 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 28,
+   "id": "behind-rings",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "root\n",
+      " |-- alloc_collection_id: string (nullable = true)\n",
+      " |-- alloc_instance_index: string (nullable = true)\n",
+      " |-- collection_id: string (nullable = true)\n",
+      " |-- collection_type: string (nullable = true)\n",
+      " |-- constraint: array (nullable = true)\n",
+      " |    |-- element: struct (containsNull = true)\n",
+      " |    |    |-- name: string (nullable = true)\n",
+      " |    |    |-- relation: string (nullable = true)\n",
+      " |    |    |-- value: string (nullable = true)\n",
+      " |-- instance_index: string (nullable = true)\n",
+      " |-- machine_id: string (nullable = true)\n",
+      " |-- missing_type: string (nullable = true)\n",
+      " |-- priority: string (nullable = true)\n",
+      " |-- resource_request: struct (nullable = true)\n",
+      " |    |-- cpus: double (nullable = true)\n",
+      " |    |-- memory: double (nullable = true)\n",
+      " |-- scheduling_class: string (nullable = true)\n",
+      " |-- time: string (nullable = true)\n",
+      " |-- type: string (nullable = true)\n",
+      "\n",
+      "+-------------------+--------------------+-------------+---------------+--------------------+--------------+------------+------------+--------+--------------------+----------------+-------------+----+\n",
+      "|alloc_collection_id|alloc_instance_index|collection_id|collection_type|          constraint|instance_index|  machine_id|missing_type|priority|    resource_request|scheduling_class|         time|type|\n",
+      "+-------------------+--------------------+-------------+---------------+--------------------+--------------+------------+------------+--------+--------------------+----------------+-------------+----+\n",
+      "|               null|                  -1| 311844978975|           null|                  []|           100|294975034872|        null|     103|[0.00660705566406...|            null| 678322664130|   3|\n",
+      "|               null|                  -1| 324883683214|           null|                  []|          null|        null|        null|    null|[0.01055908203125...|            null|1976760570767|null|\n",
+      "|               null|                  -1| 323371581333|           null|[[9eCGRtl6XN5GQoO...|           571|153437873934|        null|    null|[0.00810241699218...|            null|2240234044164|   7|\n",
+      "|               null|                  -1| 313182190373|           null|                  []|            34|        null|        null|    null|[0.00228881835937...|            null| 968876915742|null|\n",
+      "|               null|                  -1| 299950283520|           null|[[9eCGRtl6XN5GQoO...|          2135|        null|        null|     117|[0.01531982421875...|               1| 142387817674|null|\n",
+      "|               null|                  -1| 324794084626|           null|                  []|           314|          -1|        null|     103|[0.0810546875, 0....|            null|1950212179272|   2|\n",
+      "|               null|                  -1| 311869083179|           null|[[5dEuieuWMFy+CNM...|          4729|  1994402429|        null|     117|[0.01109313964843...|               1|1049052607582|   3|\n",
+      "|               null|                  -1| 314633575062|           null|                  []|           708|        null|        null|    null|[0.00589752197265...|            null|1245121652306|null|\n",
+      "|               null|                  -1| 310024318230|           null|                  []|           132|        null|        null|     103|[0.00607299804687...|            null| 398893109200|   1|\n",
+      "|               null|                  -1| 314083275570|           null|                  []|          null|  1821717262|        null|     103|[4.40597534179687...|            null|1245124281990|   6|\n",
+      "|               null|                  -1| 326302449610|           null|                  []|          2740|        null|        null|    null|[0.00589752197265...|            null|2353733113490|null|\n",
+      "|               null|                  -1| 312310995026|           null|                  []|           101|        null|        null|    null|[8.09669494628906...|            null| 802162973717|null|\n",
+      "|               null|                  -1| 325098713157|           null|                  []|            77|        null|        null|     103|[0.0810546875, 0....|            null|2049169911483|   2|\n",
+      "|               null|                  -1| 322296137788|           null|                  []|          null|  1888361814|        null|     200|[6.16073608398437...|            null|1511423336811|  10|\n",
+      "|               null|                  -1| 325292207036|           null|                  []|            13|          -1|        null|     103|[0.09716796875, 0...|            null|2128029854228|  10|\n",
+      "|               null|                  -1| 311499868798|           null|[[9eCGRtl6XN5GQoO...|          6571|        null|        null|    null|[0.01620483398437...|            null| 673538231587|null|\n",
+      "|               null|                  -1| 325505190758|           null|[[9eCGRtl6XN5GQoO...|           306|        null|        null|    null|[0.00242996215820...|            null|2424201701414|   2|\n",
+      "|               null|                  -1| 310897142142|           null|                  []|          null|        null|        null|    null|[0.00757598876953...|            null| 498367858680|null|\n",
+      "|               null|                  -1| 321838026533|           null|                  []|           667|  3459537598|        null|     103|[0.01048278808593...|            null|1416689475146|  10|\n",
+      "|               null|                  -1| 322571597197|           null|                  []|          3741| 10368072540|        null|     103|[0.0123291015625,...|            null|1591142575136|   3|\n",
+      "+-------------------+--------------------+-------------+---------------+--------------------+--------------+------------+------------+--------+--------------------+----------------+-------------+----+\n",
+      "only showing top 20 rows\n",
+      "\n"
+     ]
+    }
+   ],
+   "source": [
+    "#!/usr/bin/env python3\n",
+    "# coding: utf-8\n",
+    "\n",
+    "# # Temporal impact: machine time waste\n",
+    "\n",
+    "# Inefficient version of the machine_time_waste.py script in the same dir. Please ignore, kept for future need\n",
+    "\n",
+    "import json\n",
+    "import pandas\n",
+    "from IPython import display\n",
+    "import findspark\n",
+    "findspark.init()\n",
+    "import pyspark\n",
+    "import pyspark.sql\n",
+    "import sys\n",
+    "\n",
+    "from pyspark.sql.functions import col, lag, when, concat_ws, last, first\n",
+    "from pyspark.sql import Window\n",
+    "from pyspark.sql.types import LongType\n",
+    "\n",
+    "cluster=\"h\"\n",
+    "\n",
+    "spark = pyspark.sql.SparkSession.builder \\\n",
+    "  .appName(\"task_slowdown\") \\\n",
+    "  .config(\"spark.local.dir\", \"/run/tmpfiles.d/spark\") \\\n",
+    "  .config(\"spark.driver.memory\", \"124g\") \\\n",
+    "  .getOrCreate()\n",
+    "sc = spark.sparkContext\n",
+    "\n",
+    "# df = spark.read.json(\"/home/claudio/google_2019/instance_events/\" + cluster + \"/\" + cluster + \"_instance_events000000000000.json.gz\")\n",
+    "df = spark.read.json(\"/home/claudio/google_2019/instance_events/\" + cluster + \"/\" + cluster + \"_test.json\")\n",
+    "\n",
+    "df.printSchema()\n",
+    "\n",
+    "df.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 32,
+   "id": "banned-temperature",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "[(103, [[], [], [], [], [(62850578515, [3, 3, 5])], [], [], [], [], [], [(36278465040, [1, 5])], [], [], [], [], [], [], [], [], [], [], [(1937109982, [2, 5])], [], [(66934359137, [3, 5])], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [(99766245, [2, 5])], [], [], [], [], [(679575974, [2, 5])], [], [], [], [], [], [], [], [], [(27987724401, [3, 5])], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [(40033883995, [3, 5])], [], [], [], [], [], [], [], [], [], [], [], [], [(2072441674, [3, 5])], [], [], [], [], [], [(30503998595, [2, 5])], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [(11191193265, [3, 5])], [], [], [], [], [], [(13449203940, [2, 5])], [(9056832716, [3, 5])], [], [], [], [], [], [], [], [], [], [], [], [], [(2624004083, [3, 5])], [], [], [], [], [(5791004634, [2, 5])], [], [], [], [], [], [], [(31522009960, [2, 5])], [], [], [], 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[], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [(7386544705, [2, 5])], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [(7659182297, [2, 5])], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [(2612206009, [3, 5])], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], []]), (360, [[(194634757478, [3, 5])], [], [], [], [], [], [], [], [], [], [], [], [], [], [(75332399743, [2, 2, 5])], [], [(327145123, [3, 5])], [], [], [], [], [], [], [], [], [], [], [], [], [], [], []]), (118, [[], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], []]), (105, [[], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], []]), (119, [[(487900370258, [2, 5])], [(141154490783, [3, 3, 5]), (1211954116878, [3, 3, 3, 2, 3, 2, 3, 3, 3, 2, 5]), (106762922927, [2, 2, 3, 5])], [], [], [(1370779131465, [2, 2, 5])], [], []]), (0, [[], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], []]), (200, [[], [], [], [], [], [], [], [], [(70814003028, [2, 5])], [], [], [(1205243170887, [3, 2, 5])], [], [], [], [], [], [], [], [], [], []]), (115, [[], []]), (107, [[], []])]\n",
+      "55444\n",
+      "51766\n"
+     ]
+    }
+   ],
+   "source": [
+    "non = sc.accumulator(0)\n",
+    "tot = sc.accumulator(0)\n",
+    "\n",
+    "\n",
+    "def for_each_task(ts):\n",
+    "    global none\n",
+    "    global tot\n",
+    "    \n",
+    "    ts = sorted(ts, key=lambda x: x[\"time\"])\n",
+    "    \n",
+    "    last_term = None\n",
+    "    priority = None\n",
+    "    responding = False\n",
+    "    \n",
+    "    resp_burst_start = None\n",
+    "    resp_burst_type = None\n",
+    "    \n",
+    "    resp_time = []\n",
+    "    resp_time_last = 0\n",
+    "\n",
+    "    for i,t in enumerate(ts):\n",
+    "        if t[\"priority\"] is not None and priority is None:\n",
+    "            priority = t[\"priority\"]\n",
+    "        if responding:\n",
+    "            resp_burst_type.append(t[\"type\"])\n",
+    "        if t[\"type\"] >= 4 and t[\"type\"] <= 8:\n",
+    "            last_term = t[\"type\"]\n",
+    "            if responding:\n",
+    "                # This response time interval has ended, so record the time delta and term\n",
+    "                resp_time.append((t[\"time\"] - resp_burst_start, resp_burst_type))\n",
+    "                responding = False\n",
+    "        if (not responding) and (t[\"type\"] < 4 or t[\"type\"] > 8):\n",
+    "            resp_burst_start = t[\"time\"]\n",
+    "            resp_burst_type = [t[\"type\"]]\n",
+    "            responding = True\n",
+    "        \n",
+    "        \n",
+    "    tot.add(1)\n",
+    "    if last_term != 6:\n",
+    "        non.add(1)\n",
+    "    return (priority, resp_time) if last_term == 5 else None\n",
+    "\n",
+    "    \n",
+    "def cleanup(x):\n",
+    "    return {\n",
+    "        \"time\": int(x.time),\n",
+    "        \"type\": 0 if x.type is None else int(x.type),\n",
+    "        \"id\": x.collection_id + \"-\" + x.instance_index,\n",
+    "        \"priority\": 0 if x.priority is None else int(x.priority)\n",
+    "    }\n",
+    "\n",
+    "\n",
+    "df2 = df.limit(100000).rdd \\\n",
+    "    .filter(lambda x: x.collection_type is None or x.collection_type == 0) \\\n",
+    "    .filter(lambda x: x.type is not None and x.time is not None\n",
+    "                and x.instance_index is not None and x.collection_id is not None) \\\n",
+    "    .map(cleanup) \\\n",
+    "    .groupBy(lambda x: x[\"id\"]) \\\n",
+    "    .mapValues(for_each_task) \\\n",
+    "    .filter(lambda x: x[1] is not None) \\\n",
+    "    .map(lambda x: x[1]) \\\n",
+    "    .groupBy(lambda x: x[0]) \\\n",
+    "    .mapValues(lambda x: [e[1] for e in x])\n",
+    "\n",
+    "a = {\"val\": df2.collect(), \"tot\": tot.value, \"non\": non.value}\n",
+    "with open(cluster + \"_state_changes.json\", \"w\") as out:\n",
+    "    json.dump(a, out)\n",
+    "\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "arctic-tomato",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.6.9"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}
diff --git a/task_slowdown/task_slowdown.py b/task_slowdown/task_slowdown.py
new file mode 100755
index 00000000..7efc1259
--- /dev/null
+++ b/task_slowdown/task_slowdown.py
@@ -0,0 +1,99 @@
+#!/usr/bin/env python3
+# coding: utf-8
+
+import json
+import pandas
+from IPython import display
+import findspark
+findspark.init()
+import pyspark
+import pyspark.sql
+import sys
+
+from pyspark.sql.functions import col, lag, when, concat_ws, last, first
+from pyspark.sql import Window
+from pyspark.sql.types import LongType
+
+cluster=sys.argv[1]
+
+spark = pyspark.sql.SparkSession.builder \
+  .appName("task_slowdown") \
+  .config("spark.local.dir", "/run/tmpfiles.d/spark") \
+  .config("spark.driver.memory", "124g") \
+  .getOrCreate()
+sc = spark.sparkContext
+
+df = spark.read.json("/home/claudio/google_2019/instance_events/" + cluster + "/" + cluster + "_instance_events*.json.gz")
+# df = spark.read.json("/home/claudio/google_2019/instance_events/" + cluster + "/" + cluster + "_test.json")
+
+df.printSchema()
+
+df.show()
+
+non = sc.accumulator(0)
+tot = sc.accumulator(0)
+
+
+def for_each_task(ts):
+    global none
+    global tot
+    
+    ts = sorted(ts, key=lambda x: x["time"])
+    
+    last_term = None
+    priority = None
+    responding = False
+    
+    resp_burst_start = None
+    resp_burst_type = None
+    
+    resp_time = []
+    resp_time_last = 0
+
+    for i,t in enumerate(ts):
+        if t["priority"] is not None and priority is None:
+            priority = t["priority"]
+        if responding:
+            resp_burst_type.append(t["type"])
+        if t["type"] >= 4 and t["type"] <= 8:
+            last_term = t["type"]
+            if responding:
+                # This response time interval has ended, so record the time delta and term
+                resp_time.append((t["time"] - resp_burst_start, resp_burst_type))
+                responding = False
+        if (not responding) and (t["type"] < 4 or t["type"] > 8):
+            resp_burst_start = t["time"]
+            resp_burst_type = [t["type"]]
+            responding = True
+        
+        
+    tot.add(1)
+    if last_term != 6:
+        non.add(1)
+    return (priority, resp_time) if last_term == 5 else None
+
+    
+def cleanup(x):
+    return {
+        "time": int(x.time),
+        "type": 0 if x.type is None else int(x.type),
+        "id": x.collection_id + "-" + x.instance_index,
+        "priority": 0 if x.priority is None else int(x.priority)
+    }
+
+
+df2 = df.rdd \
+    .filter(lambda x: x.collection_type is None or x.collection_type == 0) \
+    .filter(lambda x: x.type is not None and x.time is not None
+                and x.instance_index is not None and x.collection_id is not None) \
+    .map(cleanup) \
+    .groupBy(lambda x: x["id"]) \
+    .mapValues(for_each_task) \
+    .filter(lambda x: x[1] is not None) \
+    .map(lambda x: x[1]) \
+    .groupBy(lambda x: x[0]) \
+    .mapValues(lambda x: [e[1] for e in x])
+
+a = {"val": df2.collect(), "tot": tot.value, "non": non.value}
+with open(cluster + "_state_changes.json", "w") as out:
+    json.dump(a, out)
diff --git a/thesis-dev.md b/thesis-dev.md
index a6ec9dd2..d43cfb9b 100644
--- a/thesis-dev.md
+++ b/thesis-dev.md
@@ -27,7 +27,7 @@ Google drive.
 ## Analysis from Rosa/Chen Paper
 - [&#x2705; **machine_configs**] Table of distinct CPU/Memory configurations of machines and their distrib. (%)
   (Table I)
-- *III-A: Temporal impact: machine time waste*:
+- [&#x2705; **machine_time_waste**] *III-A: Temporal impact: machine time waste*:
   Stacked histogram
   - Y-axis: normalized (%) aggregated machine time
   - X-axis: event type