diff --git a/.gitignore b/.gitignore
index 31691b5..1d14171 100644
--- a/.gitignore
+++ b/.gitignore
@@ -8,7 +8,6 @@
 .eggs
 *.egg-info
 *.csv
-simulations/.ipynb_checkpoints
 monkeytype.sqlite3
 
 __pycache__
@@ -17,8 +16,4 @@ Pipfile.lock
 notebooks
 build
 
-notes.txt
-
-simulations/validation/
-testing/models/external_dataset.py
-testing/models/historical_state_access.py
+*.pickle
diff --git a/demos/README.md b/demos/README.md
new file mode 100644
index 0000000..e69de29
diff --git a/demos/adoption_funnel/.gitignore b/demos/adoption_funnel/.gitignore
new file mode 100644
index 0000000..fe62462
--- /dev/null
+++ b/demos/adoption_funnel/.gitignore
@@ -0,0 +1,6 @@
+.idea
+
+src/__pycache__
+src/sim/__pycache__
+src/sim/model/__pycache__
+src/sim/model/parts/__pycache__
diff --git a/demos/adoption_funnel/LICENSE b/demos/adoption_funnel/LICENSE
new file mode 100644
index 0000000..8233e05
--- /dev/null
+++ b/demos/adoption_funnel/LICENSE
@@ -0,0 +1,21 @@
+MIT License
+
+Copyright (c) 2020 Matt Barlin
+
+Permission is hereby granted, free of charge, to any person obtaining a copy
+of this software and associated documentation files (the "Software"), to deal
+in the Software without restriction, including without limitation the rights
+to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
+copies of the Software, and to permit persons to whom the Software is
+furnished to do so, subject to the following conditions:
+
+The above copyright notice and this permission notice shall be included in all
+copies or substantial portions of the Software.
+
+THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
+SOFTWARE.
diff --git a/demos/adoption_funnel/README.md b/demos/adoption_funnel/README.md
new file mode 100644
index 0000000..f7276cb
--- /dev/null
+++ b/demos/adoption_funnel/README.md
@@ -0,0 +1,9 @@
+# Adoption Funnel
+
+Building a Markov mixing process to exhibit the dynamics of an adoption process as a finite state machine.
+## State Machine
+![State Machine](images/state_machine.png)
+
+Develop a module to be utilized within other cadCAD models as a consequence of a driving signal.
+## cadCAD Specification
+![cadCAD Specification](images/adoption_cadcad_spec.png)
\ No newline at end of file
diff --git a/demos/adoption_funnel/adoption_funnel_cadcad_param_threshold.ipynb b/demos/adoption_funnel/adoption_funnel_cadcad_param_threshold.ipynb
new file mode 100644
index 0000000..2e834a4
--- /dev/null
+++ b/demos/adoption_funnel/adoption_funnel_cadcad_param_threshold.ipynb
@@ -0,0 +1,1001 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Notebook of Adoption Funnel through Marketing Signal\n",
+    "### Prepared by Matt Barlin, Lead Systems Engineer, BlockScience\n",
+    "\n",
+    "The purpose of this notebook explores the adoption funnel using a Finite State Machine model. Targeted members are treated as sub-population pools as they move through states of adoption, using a developed Aoption_Pool class object. "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from typing import Dict, List"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# For displaying image files\n",
+    "from IPython.display import Image"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Finite State Machine Diagram"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {},
+   "outputs": [
+    {
+     "output_type": "execute_result",
+     "data": {
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d9t/m8Ijn8/7WzWb4lvFGpvnhIv7X8crds8sv5234vcPlest1QUMzfnP63+c9R+nr0vVedqa6hnTVuuXrze0PeSzSDNSaqt/t/es95srKCr+cB+Byi3kyusH7Jo6bpLEjx9YJnC9G3r48STI/+J85e0bvZWdqcP97mvxlwNfH/9nsdS6kzm5XdzPbu8uxT8BqtAcN10l7AAAwcL1suM76rpcJP0u4JPsD0PIQwAEALrkFS1/WwaKDmjhu0nnf2BpDEZ765t8X9Gu5fn37KW3lEh0+cthn/WNffyVJCukc4rdjMoa7XDRnsbkvb5XXb+GbVD0Up+stl06W/ssngNueu13fnP637rt3eIPrFn5eqJihsebfh48cliTdcuMtkqS177wpSfrT/D+Z2y4tL212+CZVD3eZu2eXjnmO+Zz3g0UHJV1Y7z+gJUhJTPH5e8WaFUpbuURpK5do9+Y9zR5WtiFzXvudfhR2g9k+Xmu/VvlZBc3aRszQWJ/X/KXw1DPjlJKYYr7OL8c+gZaC9sAX7QEAoD5cL31xvQTQzuoCAACtW8YHm+R6y6V+t/dvdPhHo9fb+k3rzCEsjnmOKf7X8eoT5dD23O3nXb/3zdVBz6r1q3zW/7P7L5KkJx56wm/HZfQkW7V+lbxVXlWeqdSCpS+b9ye/kixvlbfB9Ttc1UFS9QeShtzx3bxtf1j6snk8Bw9/oSkzJ2vbro/O++Fl89bN5q8CS8tLtWr9Kknnhn+867b/liR9kPOheZ6Wrz43t9y7W9712Z4RONbHmF/ujfWrzN6GxzzHzGO7kN6MQEtgfEA2/lu3fL0mjpskSSo8UOizrLfKq4OHv1DGB5t08PAXdbblrfLqmOeYKs9UmnNHfnnsSx3zHNPBooMqO1Vm3l9z2fq2ccxzTKXlpT73Gds01jH+Ntqh0vJSs02oT836aw8hVHmm0lz3y38eNbdbe581lZaXKuODTfXeV7u2yjOV2p67vd5lgZaC9uDctmkPAAAN4Xp5btvnu17W910B10ugdSKAAwBcUokpiZKk3D271CfK0eB/Ru+plMQUlZaXKubJaI0c/6hinoxW7p5d6nd7fw24c8B592Vrb1NKYooOFR30Wf+97MxGe9811wPDHjCP64kJj2vAA/21eetmrVu2zry9ZiBXW5fgLro/MloHiw6qT5RDGR9sqrNMxw4d9fyURJ/jGRk/UpIaHbJi/Oh4zXntdxo5/lFFjrxXuXt2aeK4SeYv74wwMm3lEvM8/ePIYbP+tJVLtD13u661X6te4b30XnZmg3X2uv5GTRw3Sa63XBrwQH9ze6XlpT6/9gNag6ERQyRJa95eY96Wty9Pdwy/XSPjRyoxJVEj40eqT5TD5wP78ZLjinkyWunr0jXggf6KeTJa23d9ZA7Xk7tnl2KejNbWndnmslt3Zpvrl5aX6okJjyvmyWjFPBmtyJH3aumqpeaH8K07s33WMf4uOnJYS1ctVeTIe/XUM+M0cvyjdb5IyPhgk0/9MU9Ga8hjkeYXCVt3ZuupZ8ZJqm4bYp6M1vGS43X2KVX30DXancSURA14oL9mzJnh86VKzdrcG9wa8EB/TZk5WQMe6C/3BrfVDzHQZLQHtAcAgMZxvax7vTxectzcFtdLoHVjCEoAwCVVewiKhhjDQxq/lMvbl6f3t21W1D3D1K9vP/W+ubfZ4yukc0iD88TFDI3VffcOV+GBQq15e42m/fwZDbhzQJOGukhJTNE13X/QpHqvtV+r7HVbtXnrZu3dv1fTfv6M7nDcoY4dOup//rhSXx//p67p/oPz1jpj8gwN7n+PpHO9xGovG/dwnB574DG9v3Wztu36yGc/xnr1bf+e/veY6335z6N1xtzve2tfrVu2Th/kfKhT/y73OU+L5izWN6f/bfaWW/aH5dq1++M6ddYc0nPCmAkaO3Kstu7MVuHnhZo57cU6gadRa+2hQBu6HWiJjKFVb/vuteCt8mp68nOSzs0HmbcvT9OTn9Oc136ndcvX+6yftnKJ7o+M1uD+9+jeuyN1b0SkYp6M1v2R0eb8k/X9gnbk+EclVb/2eoX30i9m/EJpK5eo6Mui885bOTJ+pO6PjFbGG5nK379XLy99WU89M86stfJMpRJTEtUrvJeW/WG5vv+97+vjTz/WlJmT9cb6VZox+XnFDI1Vn1tuU8yT0UpJTDGHzcnfv9dnX3n78jRl5mR1DemqlMQU3Xt3pLbuzNbLS1/We9mZdYYFGhk/UhPHTdLH7+7S3//xd8157XeatyhFjz3wmN+GJwIuJdoD2gMAQOO4XnK9BNoyXpkAgEvqQsc373tr3wZ7rHXs0PG827W1t513fX/V2iW4i+IejlPcw3Hnrb2h7XYJ7lLnvvp6i9na2xocK/5a+7UN9jAz1mtIr+tvVK/rb6xz+6B+gy6oTuNxaWifDdV6vmMAWpK8fXl6+buercbQq5L0ywm/1DXdf2A+j/ve2ld33fbfei87U6XlpT5zOErSnOfnmB+Qy06VNbrfrTuzdbLspBbNWWy+PtctX6/5i+erS/D5g+uaX0xca79W3+v0fU2ZOdlnrkwjxDfqHNRvkHqF95LrLZemPp3gE96fj/Gr5j/N/5PZthjtQWJKYp15ImsOTVx9zu7SwaKDKjpyuN62CWhJaA/Oj/YAACBxvWwM10ug9SOAAwAAAOrRJ8pR57auIV21aM5i8wOuEXQf8xzTwcNfmL/wNZw5e8bnb+cjzmb/OrXw8+r5MoxeqVJ1MH6+X+4ajPkqDcY29n+xX4P6DVLHDh11373DdbzkuPL25enr4//0Wb7sVFmTv0D4R/Gh6nPU5Wqf23uF95IkfbTrI58fLDw8/CGf5XrfVD2P58Gig3yBgBaH9oD2AADQOK6XXC8B+CKAAwAAAOpRewjda7r/QP/1o//y+UBdeaZSzyQ9o9w9uyRVf1j+UdgN5ofp2owPyc1RWl79K98L6Sn6wx/08PnbGOq16Mui77ZdqvhfjTe/+DDqrz1JfVMY26j9i+WOHYMkSXv37/X5AqG+oXmBlor2oHloDwCgbeJ62TxcL4HWjwAOAIBW5N67I5XxRqa6h3a3uhQg4DVlWNqtO7OVu2eXuoZ01brl680Pz/G/jpdq/Zr3Qhm/wq09BE1TnPrm3z5/G0P2GNtc++5aHSw6qK4hXfX+mi3mr4uHPBbZ7Drvj4zWe9mZqjxT6fslS2WFX84DYCXag+ahPQCAtonrZfNwvQRav3ZWFwAAAPynY4eOutZ+LRMwA5fJtl0fSaqex8L48sBb5TV/0euPD89DI4ZIkg4fOexz+9JVSzVjzgxVnqlscN29tSZ6P/GvE5KkW268RZK09p03JUmrFr5hthul5aU6WXay2XWOiBohSTr29Vc+txu/7B3c/56LPhdAS0Z7cA7tAQCgIVwvz+F6CbR+BHAAAADABTI+FL+89GWVlpfqmOeYZs6bqa4hXSVJv5jxi/MOR2MMafPJ3r81uEz4d/NOJL08S3n78iRVT2iftnKJJJ13jolP9v5NGR9skrfKq4OHv9Cc134n6dxcFqMefFySlPxKsrxVXuXty9Pzc5831zdu73BVB0nSijUrGtzXLf9V/aVEYkqi8vblmdsz1rn37ub/KhgIJLQH59AeAAAawvXyHK6XQOtHAAcAAABcIOND8cmyk4ocea9inozWP4oPaWP6JnUN6aqTZSc1f3HDk7137NBRE8dN0smyk+oT5VVXu9QAACfPSURBVFDGB5vqLGNrb9O6ZevUJbiLnnpmnPpEOfTUM+PUNaSrkp5LOm99yb+crW27PtIdw2/XyPiRKi0vVUpiijkUj/Hr4Nw9u3TH8Nv11DPjJEnZ67aat7+/dbO6BHfR/ZHROlh0sME6uwR3Mef9eOqZcT7b+58/rmzyZPRAoKI9OIf2AADQEK6X53C9BFq/K7799ttvrS4CABBYrrjiCklSflaB1aWgDeoT5ZAk8RamdWoJ7Yvx4bgpc1hI1UPmFB4oVG5eroZGDFF4z+tla29TaXmpzpw9o8rKCl17zXXaujNbfW65rc48FN4qr97fullS9cTqIZ1DGlz24OEv9GnBbt3puEO9rr/RvP2Y55jy9+8118n4YJMSUxKV8UamrrVfq4OHv9DBooO6797hdYaorTxTqd0Fu/XV11/5bNeoX6qewL7yTKW27sw265Tks8+a8vbl6fNDn+ue/vfUuc+otf8dA3wmnK99DFagfWlZaA9oD2gPAKBxXC8D73p5792RdcK1plwva6/H9RJo+QjgAADN1hLe4EuSe4Nb8xalaN2ydT5vpA8e/kIf5HyoH/6ghyTpe52+rwF3Drjs86IZb+BTElOa/EEkENT+YHK58Qa/dWsp7Uugs/p1GqhoX1oW2gP/oD24MLQHAAIF10v/4Hp5YbheAud3eb+JBADAT455jmneohQ5H3Ga4dsxzzFN+02COWGxMXyF8e8/zf+TT1B3qV3T/Qe6PzJa13T/gdWnCwAAAAAAAMBlRAAHAAg43iqvpv0mQV1Dumrq0wnm7e9ueVcHiw7q+SmJemj4Q+rYoaO8VV59/OnHmjJzskbGj7ysv2bre2tf9b21r9WnCwAAAAAAAMBlRgAHAAg472/drINFB7VozmJz/PPKM5VKW7lEXUO66rEHHjOHm7S1t2lQv0FKSUzRl/88Wmdbxtjza95eo/AfhuuWG2/RoH6DzPtrjrX+93/8XV8f/6fCeoSp+GhxveOs1xyDXap/PhRjLHmpenjMmvurWdfHn36sjVkbddstt9UZr74hxvF8fuhz7d2/V4P739PgvCrG+PF5+/L0/rbNum/w8HoDw2OeY3pj/aoG7wfQ8tx7d6Qy3shUSOcQq0sBYDHaAwAAGmdcL7uHdre6FACtCAEcACDgrFizQpI04M4B5m0dO3RUr/BeOlh0UO9v3VxnzrX65mBzb3Br+eplOll2UvdHRmvtO2/qZNlJOR9xasbk5yVVB2iJKYnmtiVpccoSJaYk+ixnSH4lWbl7dinjjUxz3ZTEFDOA2567XVNmTpZ0bojMfrf317wX5pkh2dJVS5W2cokk6f7IaM1blCJJmjhukiaMmXDeczNz3ky9l52priFddUN4LyWmJEqS/uePK83wrGZd23Z9pH8UH9LBooNyveVSv9v7a9nvl0mqDjWTX0nWe9mZkqTNWzfrhvBe+lHP661+CgBoRMcOHetM7A6gbaI9AACgcVwvAVwK7awuAACA5igtL9XBooO6PzLa7OVmmDntRUlSYkqi3BvcOnj4C1Weqax3O5VnKs1gK3vdVs2fOV8b0zfp/shoud5y6eDhL3yWN4a2zHgjUwPvGqiuIV3lesslb5XXZ5u5e3apV3iveoe5zNuXpykzJ6vf7f2V8Uam1i1fr36391funl16fu7z5vGlrVyifrf31+7NezR/5nx9/O4u9bu9v9JWLlFpeWmD5+bg4S/0Xnam7o+M1od/zday3y9T9rqtkqS09LQ6yyemJOqJh57QuuXrzX3k7tllnrOtO7PN7X387i69v2aLHh7+kFxvuax+GgAAAAAAAAAtGgEcACCgnDl7RpI0uP89de7re2tfPT+lurfavEUpGhk/UgMe6K/4X8dre+52nzDu7//4uyTpT/P/ZPY869iho34e9zNJ0v+X+f/5bLtXeC/FPRxnBmujHnxcklR4oNBcZnfBbknS0088XW/tuXm5kqSk55J0rf1adQnuoiUpS5SSmKKJYydKkvb/fb+5jBEwduzQ0bx/1+6PGzw3va6/URlvZCrpuSTzti7BXdQrvJdPsGZwPuI0e8V17NBRkXdH+hzHtl0fSZISfpagjh06ytbeppihsep3e//L+6ADAAAAAAAAAYYhKAEAAeXEv06c9/64h+MU93CcSstLtWv3x9q26yN9svdvmjJzsnqF99K65eslSe9v2yxJ+sPSl+udE6W0vMzn70djR/r8PeqBUUpbuUTvb9tshlir1q+SVD12fH32FO6RJJ8x5Y1Qy2BsI/UvqT7rlp2qrmfbro/qHU7T0OGqDtq6M1tf/vOoir4s+u5YSs1t1BxS4+47I3zW7fy970uSvjn9b0nSP4oP1alXkn7U8/rqQK+y4uIeTKAF81Z5dbzkuEI6h7TIoWgqz1Sq7FRZi63vYo+re2j3Or2cAavQHlh7XLQHABAYuF5ae1xcL4GWiR5wAICA8vXxfzZpuS7BXRQzNFbzZ87X+2u2qGtIVx0sOqi8fXmS6gZsNd0fGa3bbrnN5zYjnKq5/V7hvcxhKI3hJ++PjG7wzfyh7+aQO9+b4tw9u+q9PaRzSL111XTw8BeKHHmvElMStadwz//f3v0HRXXf+x9/OewfZXOTCNsmtvTGQLK2GTWCvQkkHRXiD4TUa7zBVKmKY5SAetVpvF22NF8n00sXc5OMyVWgJLkTokWTYNUksJBo1urEgEYg/pimbgI1t9uStix420LawfH7B+6pK7ss2hMX8PmYcXTPfvaczx7k/dmz7/P5vJU8MVkz0qYbM/wulxShllsgcXd5f29LGN9/vIvvBxiNikuLlb0ky0h+S/1fKrScapGjxCFHiUObt5Wq7kBt2KVuv0gHj3iUvSRLB494on2qvpD39dkfPot2VwAD8SA6iAcAMLIwXkYH4yUwvJEWBwCMKPZEe8jtgbvtQt31ZYmx6JlNz2r5hjzt2rfLmLEmSf9RsFH2pAlhj/fVW78W9rkVi1bI6XKq/WybOi5+2F00f1HY9o/863eNOm7hkmJzM7JU73Fr3aPrQtaRG8yLO1+SJKVOTVPlU5XGdqfLGbJ9pBls9yTfq3qPe0B/W0+3XlG/gJEmUE+xaK3T+D30dfiUvSTLaDM3I0sNBxuMmogup2vQ2almmzIxWS6nS1MGScoD+McRDwAAiIzxEgBCIwEHABhRrNYbQm5//c3XVbrVpbkZWdpcvHnA84ElJwMzyJInJqve49YHJ44HJeB8HT61nW3Tt+7+lqyxVt3y5VvC9iWw1OSB995V88lm2eJsmnzX5LDtU1NSVV5VprO/OWsktPrO92nOotmSpHdf9yh+bP9ymB+ebg1KwHnbzujPPX/RN+74RtgZdsdaj0pSUA04b9sZ49+XJ9y87d5Bk48z0qar3uNWp/+PQQm4wHGA0ajvfJ8eczwme6JdC+ctNLYHloXdWrJN01KnGdsDXyw4XU5NmZh8xYnzq5UwLuGaHQu4XhEPAACIjPESAMIjAQcAGFEC9dr2NuwLultu4byF2l1bo3qPW5L0nVnfUdL4JP3+j7/XRx9/ZNxlNz9zvvF36VaXSre6dO5P5zRv9jzt2L3daFdTWTNockqSrLFWpU5N02tvvKrOrk4V5q0edHnJQHJu+YY8Feat1sxvP6Cfu3+uzq5OuZwuSdKq7+Wrek+1nC6nPv3t/2re7Hl6/qXnjfflqTkYNgEXmGG39N+X6Kebf6oD772r8qoy2eJs6uzq1GOOx4waeEMRmG2Yk58jl9Olr976NZU895/q7OqMxo8euCZerH5RnV2dembTs8bvs7/br3qPW7Y4W9CXB1L/hXxNZY287V7Ffik26Lme3h7ta9in3bU1uuP2OzUjbbrmpGca+2051aJd+3Zp3aPr9OHp1os1HrNVd6BOKxc/OiAGBdoHZtoG/n3prF5v2xkdeO9dtX/arsTbErUyd+WAuOTv9uu1N1/T/kPv6I7b79R3Zn1nwPsKpae3RwePeIzamo/863eVmpKqyXdNHvCeHGscuunGm/T2wQb9z67/0YpFK5R+f8aA+NVyqkXlr5Trocz5mpOeGe0fPxCEeBAe8QAAEMB4GR7jJQBqwAEARpRA0qupuTFo3XhLjEWV//WCchfkqt7j1triNcpekqXlG/KMmXF1O9zGh1drrFWemoMqzFut1954VdlLslS9p1q2OJte3lIVMfkWULis0EhIzZs9b9C2lhiL3n+zUYV5q1VeVaac/BxV76lW7oJc44Nz/Nj4Af0KXLi8vKUq7NKVkvTIvEdkT7Srs6tTOfk5Kq8qU9Fap956pVaS1NnVqcbj7w/5XNuTJvSfi0S7nC6nlm/Ik7/br8K81VH4yQPXxv5D70hS0EV5/Nh4pU5NU2dXpyq2Vwx4jT1pgrJnPhj0++kocei+eWnGlwef/PpjOV1OrXb+/ffnd5/9VvUet9Y/sU5Ol1P1HrduvOFG1Xvc+rn75wOOU/5Kueo9bo3/+njjtZfWxazYXqGc/By99sar+uTXH6u8qkxzFs2Wr8NntMn/Qb4yctKNLw+OtR7V2uI1cpQ4Ip6bJ5990ljSNpDwX74hT+9/8Pe4EuhXw8EGLSr4rvY27JO/2y+ny6ll65Ya7Xp6e5Sz6mEt35Cnj9u9+kXjIc1ZNFt7G/ZF+78AYCAehEc8AAAEMF6Gx3gJgBlwAIARp3BZoZqaG/uLDV8yCy5+bLwca4r0eMHGoALEsV+KDZm4ih8br4KlBVqZu1LtZ9tki//ygHa3fuVW1e1wGzPvLjf5rsmq29E/O+3y5SzS788Y8FprrFUFSwu0LGeZfvXJr4LufAvVr5O/PKnxXx8/aOLt0tfVvLBb/m6/Ov1/VOL4JGPfH+4/IUlG0jLUewrV35RJKap5Ybe8bWdktd6ghHEJ6jvfp3mz54U9J8BI5e/2y9vuVe6C3AHPbfr+JmUvyVJ5VZmaTzbrocz5YZfM6entUb3HrdSpaSpzlckSY1Hf+T49U/G0qvdUq+VUS/Bdt+1evbylyogH9kS7qvdU6/GCjcbvcE9vj5qaG5U6NS1kPDjcdFjlVWXKXZCrxws2SpJWO1erqblR659Yp5oXdsvX4TP2Eapfg9WebDnVonqPO2iZ35W5K/WtzKl67sUtA+4AfuFnldr+3zuM/eX/IN+4ccIaa9W+hn3ytntVtNaphfMWyhJjGVAnBIgm4gHxAAAQGeMl4yWAwTEDDgAw4qRMSlHq1DQ5XU75u/0DnrfEWIz13RPGJURMXlliLLInTQjZLrCvcMs+Xnqsy1ljrWFfa421KmVSyqBLVlpiLEqZlDKk5Nul4sfGy540IeS+rbHWsP0arL/2pAnGe4x0ToCRqvfzXknS5G8OrOWYMC5BW0u2GTNwnS6nspdk6YGFGarYXhEUi46fOC6p/0uHwO+hJcaiJQ/338G6a9+uoH3bE+1B8eDhB3MkSSd/eXLAPpc+vFShnD5zWpK05OGlssRY+mcFP1Wpuh1uPffj/vobhxoPSZJKf1ga1K9/y/q3oOdDSZmUog/3nwiqsWmJsSh1apq87d4BsTgzPTMoLmZcrJkZeB+tp1slSdPTpht9SRiXoNSpadfmhw1EQDwgHgAAImO8ZLwEMDhmwAEARqTSH5YqIyddRT8pUuVTldHuDoBRoO1s26DPT0udpmmp09R3vk/tZ9v0wYnj8hzxqLyqTPsPvWPUWDzywXuS+pecGcpM0RWLVgQ9DtSofPsXDcadvs+9uEWSdN+/3BdyH80nmyX1z9q91KUX8Z4jHknS5m2bg9p0neuS1H9Rv/ihxWH76W07oxd3vmS8pqm50Xgu8OVLwJwZwfUobr7xJknSn/78f5KkY61HB/RPkqZOnqqm5kb9/o+/D3s3MXAtEA+IBwCAyBgvGS8BDI4ZcACAESl+bLxcTpeamht1uOlwtLsDYBQIXNxGEpg1u/ihxSpzlcmeaJe33auWUy2SJH93V9jXzs3IUvLE5EH3H6h1Wb2nWn3n+4KW9gk3a9Z/sRblYLNqL73gv1TczXER+3W46bBy8nNU73Er8bZEPZQ5Xy6nS/ZEe8j2t3z5ln/oZ3FpbQ4gGogH4ftFPAAABDBehu8X4yUAiRlwAIARLHvmg0E14ADgHxHuYtjf7dfpX53WxG9MHLAkrCXGIpfTpZz8HO3atyuoNkXhssKgx0M9ntS/VE5Tc6NO/vKkPvr4I0kylroJZdb02fK2e+Xr8AXd+erv9uumG2+SJcaiuRlZqve4B61VEc723dv731PeahUsLZAk9Z3vM4rKX66n5y+D7i8zPVPVe6rl7/YHndP2T9uvqF/AF4V4EB7xAAAQwHgZHuMlAIkZcAAAAIAkyWq9QZJ07k/Bd/I2Hn9fa4vXqOgnReo73zfgdYFlZWakTQ/6u6mlKahdy6kW7dy706j3EDheKIGlct7+RYN219bIFmeTPWlC2PYzv/2ApOBlgHp6e5SRk65FBd+VJCXelihpYK2KugO12rl3p3p6e8LuP3CH8MQJE41tl9bYuHz5IW+7d9BzHagTcvY3Z4P6W+9xD/0HBnyBiAfEAwBAZIyXjJcABkcCDgAAANDf6z/srq0J2p4980GjePxq52rt3LtTLadaVHegVvk/yDcuetMvFkqfk54pW5xN5VVlcpQ4dLjpsPJ/kK/lG/L0ws+GVrPSEmNR7oJcVe+plrfdq1Xfyx+0vT1pgmxxNq0tXmMc88lnn5QkFa//kSRpWc4ySVLpVpccJQ61nGpRzqqH5XQ59cLPKvX5Xz8Pu/9AYfu1xWtUd6BWjhKHlm/I09yMLGO7t+3MkM/1lIvL9SzfkKfN20pVd6BW982jgDyGD+IB8QAAEBnjJeMlgMGxBCUAAAAgBS0z09PbI2us1Xhuy5Nb9ErNK9p/6B2VbnUFva4wb7WW5Swz2ltiLHp71zt6/4P39dyLW7S2eI0kKXVqmgqXFQ5YhiecOTP6l5mR+pecieTtXe/o7YMNerriadV73LIn2lW01mks42ONtep4Q7PRr+Ub8ox+lf6wdNB+zc+cr099Z1W9p1pOl1P2RLte3lKlyXdN1rHWo+rs6ox41+6lEsYlqG6HW8+/9LzxHudmZGlG2vSwy/IA1xLxgHgAAIiM8ZLxEsDgxly4cOFCtDsBABhZxowZI0n6cP+JaHcFIdQdqNWN/3STpqVOi3ZXvhBTZt0tSeIjzOgU7fjibTujnPwcFa11avFDi0O28Xf71ft575DrQFxaR+Jaubw2RCiX17sYir7zffrb3/4W9OWKGX291ucnHOLL8EI8MAfx4OoQDwCMFIyX5mC8vDqMl8DgWIISAABJO/fulKPEYawtH4qjxKGde3dGu6tDsrZ4jQ43HY52N4ARx540QbkLclW61SVfhy9km/ix8Vd04R0/Nv6aXxwP5S7hK/3yQOq/O9nMLw8CfR0OXx4AlyMeDI54AACQGC8jYbwErm8k4AAAkNR6ulX1Hrd6P+8N26be41br6dZodzWiOemZsifatenp/zdoUWgAof37inWyxdm0/ol1IYvGA7h+EA8AAIiM8RIAQiMBBwDANdJ3vs/Ui5Fw+7PEWPTcj59XZ1enUUQawNBZY616ZtOzuuP2O9V+ti3a3QEQRcQDAAAiY7wEgNCYqwoAwFXydfj0/EvPq97jVurUNMXdHKfE2xL1yLxHgpav2Ll3pzxHPGpqbpTUXyh50fxFRmHny/d3rPWoNhZsVPbMB+Uocaje4w5az9/f7ddrb76m1954VZ1dnbLF2Yz2AQnjEpS7IFfVe6q17tF1V7VUBnA9S5mUMuB3FMD1iXgAAEBkjJcAMBAz4AAAuErrn1ineo9bRWudKlxWqOSJySqvKlPRT4qMNi2nWlS61aW4m+O0tWSbitY6daz1qJZvyAtaHrJie4Wyl2TpWOtRrfpevvY27FPOqof1ya8/Djrm4abDyshJ12tvvKqNBRvlcrokSU6XU3UHaoPazpmRKUk61Hgo2qcKAAAAAAAAuK4wAw4AgKvg7/bL2+5V6tQ0LX5osaT+O/6+/tWv609//j/19PbIGmvV279o0NyMLG36/iaj8PI37/ymlm/I08EjHmPW2v5D78gWZ9Nbr9TKGmvV4ocWq2J7hcqryoKOe+SD92SLs6nmhd3GLLs56Zmas2i2nq54OmgW3OS7Jkvqr28X6CMAAAAAAACALx4z4AAAuArxY+NlT7SrqblRFdsrjNls01KnKXvmg0ayzbGmSJuLNxuP/d1+/fkvf5Yk/eLizLSe3h552726J/leo50kzZs9L+iYfef7VL2nWvck3xu0xKUlxqLM9Ex1dnXK1+EL2i5Jx1qPRvt0AQAAAAAAANcVZsABADAEly4XGeByuvSY4zGVV5WpvKpM9kS7VixaofT7M4ISbkU/KTLqv4XSda5LkpR4W2LQ9svrtn32h88kSfUet+o97iH1255ol7fdG+3TB2CU2LytVJL0eMFGI8kP4PpEPAAAIDLGS+D6xgw4AAD09+TXh6dbQz5//MTxAdvsSRP07usevbylSoV5qyX112Jbtm6p0SYjJ11NzY1KnZqmuh1u1e1wa2vJtiH1qe98X8jt9kS7XE5XyD9xN8dF+1QCuIyjxKEps+4OmqF6uSmz7pajxBHtrkZ0/798W9V7qvX6m69HuyvAiEQ8AAAgMsZLAKMFaXcAACQ9Mu8RlVeVaW/DvqA6agHbd2+XJM1Imz7guZRJKUqZlKKVuSu1qOC78rZ75W07I6v1BkmSLc6mLU9uMWbFHbq49GTArV+5VZLU/ml70Pb2s20h++rv9ofsYyjedq9scbZon14Ao8S01Gmam5Gl0q0uZaZnBi2HC+D6QjwAACAyxkvg+sYMOAAA1F/TLXVqmpqaG7Vz705jycme3h5VbK8wlpCcMjFZkuRtO6MHFmao5VSLsQ9LjEWzps+WJFmtNyj2S7HGc5//9XNJkq/Dp921NZL6a7P5u/2yxFhkT7Sr3uM27vDr6e3RiztfCupjwrgE2RPtA2q9tZxqUc6qh42lLQICM+juSb432qcXwFUKNxP2cr4On/zd/ojthtJG6o9Bvg5fyOM71vTfaVz0k6Jonx7gukI8AAAgMsZLAMMJM+AAALiocFmhmpobVbrVpdKtLiMhF1C01mnUZUscn6Q7E+1aviFPuQtyNfmbk3Xyo5Oq3lOtuRlZRrtADbacVQ/rnuR7Ve9xqzBvte64/U7Ve9zKWfWw3nqlVutXbtDa4jXKXpKl1Klp+rjdq40FGwfUegvUnQu0i7s5zmhTvP5HQW1P/vKkJCn5YtIQwMjhbTsjp8tp1HC0J9p1x+13at2j64LqQ27eVqrqPdXGY1ucTau+l6/FDy0O2l/LqRaVPPef8rZ7VZi3WitzV6q4tFj1Hrc+3H8iqN2ufbuCYk9h3moVLC0wHsePjVdh3mqVV5XJ23ZG9qQJ0T5dwKhGPAAAIDLGSwDDETPgAAC4KGVSio43NOvlLVXKXZBr1G7LXZCruh3uoA/klhiLSn9YqqK1Tn1ytk1OV//fRWudxt1tkvTcj5836sN1neuSy+nSytyVWvfoOs3NyNI9yffq879+rmmp0/T+m439ybnxSXrrlVpjmUl7ot3Ynz1pgt7e9Y5e3lIlqX8WXe6CXG0t2aaUSSlB76eppUmSND3EspkAhrfAlwcvb6lS3Q63itf/SMdaj2r9E+uMu2rrDtQaSf+6HW69vKVK8WPjVbrVFXSn7uZtpVq+IU+SjNgxZ9FsHWs9GnTMugO1Wr4hT13nulS3w62ayhqlTk1TeVWZKrZXBLWd+e0HJEkH3ns32qcKGPWIBwAARMZ4CWA4YgYcAACXsMRYjJpujjWDLw8RPzZeix9aPOBOuUsljEtQwdKCoLvfAts3F282Hvf09qjrXFdQu8AFwIpFK0L2sfKpyrDH9XX4VF5VFjQbD8DI4O/2y9vulT3Rrsl3TZYlxqKEcQn66eafquMPnxntbvynmzQ3I0ubvr9J1lirEsYlqHj9j7R8Q54aDjYYsanhYINscTbtqnjViB+3fe2f5XQ5g467t2Gf7Il2lbnKZInpv0yofKpSDyzM0GtvvKqVuSuN7YnjkyQNrF0JwFzEAwAAImO8BDBcMQMOAIBh4JWaV5S9JMu4S66nt0ebt/Un6NLvz7ji/a1/Yp1scTZt+v6maL81AFcofmy85mZkydvuVXFpsbxtZ9R3vk/2pAmaljrNuIifljrNSOT7Onzydfj0u89+K0lqPd0qqT+WdHZ16p7ke43XSX+vZxnQd75PTc2Nio+z6bM/fGbsz9fh0z3J96qzq1OfXfLlRWBfly+TC8BcxAMAACJjvAQwXDEDDgCAYSAw8628qkzlVWXG9sK81bLGWq9oX3UHauVt98rldF3xawFce6EKuzvWONR1rkv1HrdxkV6Yt1qPzHtE8WPjJfXXuXjM8Zg6uzrD7rvrXJekgbUgL58ZG/hyoKm5UdlLsobU70CNSwDmIR4AABAZ4yWAkYIEHAAAw0TB0gLN/PYDxgfyKROTr3r5SJfTZdSQAxBdyROTVe9x61DjoZBL1jYcbJAkxY+NM7bFj41X5VOV8nf71Xj8fe1t2KfyqjLtP/SOal7Yrb7zfcrJz5Ek5S7I1eMFG2WJscjbdsbYfqlPfWeDHvf09oTsa+rUtLAzZ2/9yq1Bj0N98QFgcMQDAAAiY7wEMFqwBCUAAMOIPWmCsmc+qOyZD1518i3wegDDw/zM+ZIkzxFPyOcD2yd/c/KA5+LHxit75oMqc5UpdWqavO1etZxqMe64tSfajS8PJOmDE8eDXh+46Pd3dwVt9/3uNyH78nG7VwnjEkL+uXQJHknq7OqUPdEe7dMLjCjEAwAAImO8BDBakIADAAAAvkDWWKvmZmSpqblRjhKHfB0+Sf1L4DhKHGpqbpQtzqa0b90nSTrcdFhTZt2tugO1xj4sMRbF3dx/h+8tX75FsV+K7d9Hu1cnf3lSktRyqkUv/KxSknSs9ahaTrXIEmORPdGueo/b2J+vw6f/qng6qI8J4xJkT7Srs6tTh5sOq+98n/rO96nuQK2mzLpbjhJHUPvAHcB33H5ntE8vMKIQDwAAiIzxEsBoMebChQsXot0JAMDIMmbMGEnSh/tPRLsruA5NmXW3JImPMKPTaI0v3rYzcrqcYWs+vLylSimTUozH+T/IV1Nzo+yJdt1x+53qOtelpuZGzc3IMgrHB9rY4myKHxsvb7tXhXmr1f5pu1H3wlNzUJ3+PxrHtsXZJEnPbHpWyzfkBZ1rX4dP659YZ7Q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+      "text/plain": "<IPython.core.display.Image object>"
+     },
+     "metadata": {},
+     "execution_count": 3
+    }
+   ],
+   "source": [
+    "Image(filename='images/state_machine.png')"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### State Transition Table\n",
+    "\n",
+    "| Current State    |  Input | Next State     |  Threshold | Output Reputation  |Output Activity  |\n",
+    "|:-------------:|:-------------:|:-------------:|:-----:|:-----:|:-----:|\n",
+    "|Unaware |Marketing Signal     |Unaware    | Not Exceeded | Empty $\\emptyset$      |None      |\n",
+    "|Unaware |Marketing Signal     |Aware    | Exceeded | Exists $\\exists$     | None      |\n",
+    "|Aware    | Reputation    |Aware    | Not Exceeded | Exists $\\exists$       |None      |\n",
+    "|Aware    | Reputation    |Adopted    | Exceeded | Positive (+)     |None      |\n",
+    "|Adopted    | Experience    |Adopted    | Not Exceeded | Positive (+)      |Some      |\n",
+    "|Adopted    | Experience    |Loyal    | Exceeded | Positive  (+)      |Increased      |\n",
+    "|Adopted    | Experience    |Churned    | Lower Limit Exceeded | Negative  (-)    | Decreased      |\n",
+    "|Loyal    | Experience    |Loyal    | Exceeded | Positive (++)     | Increased      |\n",
+    "|Loyal    | Experience    |Adopted    | Lower Limit Exceeded | Positive (+)      | Decreased      |\n",
+    "|Churned    | Reputation    |Churned    | Lower Limit Exceeded | Negative (-)      | None      |\n",
+    "|Churned    | Reputation    |Adopted    |  Exceeded | Positive (+)      | None     |\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Differential Update Equations\n",
+    "#### Drip Function\n",
+    "\n",
+    "$$ \\Delta{V} = \\frac{\\delta \\cdot (V_C \\times \\mu_C -  V_C  \\times \\mu_{\\tau})}{\\mu} $$\n",
+    "\n",
+    "#### Current State\n",
+    "\n",
+    "$$ V_C = V_C - \\Delta{V} $$\n",
+    "\n",
+    "$$ \\mu_C =\\frac{ V_C \\cdot \\mu_C - \\delta \\cdot \\mu_C  \\cdot \\Delta{V}}{V_C - \\Delta{V}}$$\n",
+    "\n",
+    "#### Next State\n",
+    "\n",
+    "$$ V_N = V_N + \\Delta{V} $$\n",
+    "\n",
+    "$$ \\mu_N = \\frac{V_N \\cdot \\mu_N + \\delta \\cdot \\mu_C \\cdot \\Delta{V}}{V_N + \\Delta{V}}$$\n",
+    "\n",
+    "Where:\n",
+    "\n",
+    "1. $ \\Delta{V}$ is the volume or count of pool members transitioning to the next state of adoption\n",
+    "1. $V_C$ is the volume or count of pool members for each current state of adoption, C\n",
+    "2. $\\delta$ is the leak coefficient, available as a parameter choice\n",
+    "3. $\\mu_C$ is the mean reputation for each current state of adoption, C\n",
+    "3. $\\mu_{\\tau}$ is the mean threshold reputation for each state of adoption\n",
+    "1. $V_N$ is the volume or count of pool members in the next state of adoption, N"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Import Model Configuration Object\n",
+    "\n",
+    "#### Import Python Libraries for Analysis and Plotting\n",
+    "\n",
+    "#### Output is the configuration dictionary containing\n",
+    "\n",
+    "'N' = Number of Monte Carlo Runs, running multiple simulations of the same system.\n",
+    "\n",
+    "'T' = Computer simulations run in discrete time. The length of the simulation in timesteps.\n",
+    "\n",
+    "'M' = Dictionary of system parameter values being tested. Any parameter listed in the M dictionary may be swept over a range of values."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "metadata": {
+    "scrolled": false,
+    "tags": []
+   },
+   "outputs": [
+    {
+     "output_type": "stream",
+     "name": "stdout",
+     "text": "\n                  ___________    ____\n  ________ __ ___/ / ____/   |  / __ \\\n / ___/ __` / __  / /   / /| | / / / /\n/ /__/ /_/ / /_/ / /___/ ___ |/ /_/ /\n\\___/\\__,_/\\__,_/\\____/_/  |_/_____/\nby cadCAD\n\nExecution Mode: multi_proc\nConfiguration Count: 1\nDimensions of the first simulation: (Timesteps, Params, Runs, Vars) = (1000, 7, 4, 3)\nExecution Method: parallelize_simulations\nExecution Mode: parallelized\nTotal execution time: 2.35s\nconfig_ids =  [{'M': {'MARKETING_STEADY': 500, 'MARKETING_SHOCK_MAG': 1234, 'MARKETING_SHOCK_FREQ': 2, 'EXO_EXPERIENCE': 140, 'SOURCE_POOL': 100000, 'THRESHOLD': 0.1, 'LEAK_COEFFICIENT': 0.01}, 'simulation_id': 0, 'run_id': 0, 'subset_id': 0}, {'M': {'MARKETING_STEADY': 500, 'MARKETING_SHOCK_MAG': 1234, 'MARKETING_SHOCK_FREQ': 2, 'EXO_EXPERIENCE': 140, 'SOURCE_POOL': 100000, 'THRESHOLD': 1, 'LEAK_COEFFICIENT': 0.01}, 'simulation_id': 0, 'run_id': 1, 'subset_id': 1}, {'M': {'MARKETING_STEADY': 500, 'MARKETING_SHOCK_MAG': 1234, 'MARKETING_SHOCK_FREQ': 2, 'EXO_EXPERIENCE': 140, 'SOURCE_POOL': 100000, 'THRESHOLD': 2, 'LEAK_COEFFICIENT': 0.01}, 'simulation_id': 0, 'run_id': 2, 'subset_id': 2}, {'M': {'MARKETING_STEADY': 500, 'MARKETING_SHOCK_MAG': 1234, 'MARKETING_SHOCK_FREQ': 2, 'EXO_EXPERIENCE': 140, 'SOURCE_POOL': 100000, 'THRESHOLD': 3, 'LEAK_COEFFICIENT': 0.01}, 'simulation_id': 0, 'run_id': 3, 'subset_id': 3}]\n   timestamp  signal                                               pool  \\\n0 2020-01-01       0  <class 'src.sim.model.utils.Adoption_Pool'>: {...   \n1 2020-01-01     500  <class 'src.sim.model.utils.Adoption_Pool'>: {...   \n2 2020-01-01     500  <class 'src.sim.model.utils.Adoption_Pool'>: {...   \n3 2020-01-01     500  <class 'src.sim.model.utils.Adoption_Pool'>: {...   \n4 2020-01-01     500  <class 'src.sim.model.utils.Adoption_Pool'>: {...   \n\n   simulation  subset  run  substep  timestep  \n0           0       0    1        0         0  \n1           0       0    1        1         1  \n2           0       0    1        2         1  \n3           0       0    1        1         2  \n4           0       0    1        2         2  \n      timestamp  signal                                               pool  \\\n2001 2020-01-01       0  <class 'src.sim.model.utils.Adoption_Pool'>: {...   \n2002 2020-01-01     500  <class 'src.sim.model.utils.Adoption_Pool'>: {...   \n2003 2020-01-01     500  <class 'src.sim.model.utils.Adoption_Pool'>: {...   \n2004 2020-01-01     500  <class 'src.sim.model.utils.Adoption_Pool'>: {...   \n2005 2020-01-01     500  <class 'src.sim.model.utils.Adoption_Pool'>: {...   \n\n      simulation  subset  run  substep  timestep  \n2001           0       1    1        0         0  \n2002           0       1    1        1         1  \n2003           0       1    1        2         1  \n2004           0       1    1        1         2  \n2005           0       1    1        2         2  \n      timestamp  signal                                               pool  \\\n4002 2020-01-01       0  <class 'src.sim.model.utils.Adoption_Pool'>: {...   \n4003 2020-01-01     500  <class 'src.sim.model.utils.Adoption_Pool'>: {...   \n4004 2020-01-01     500  <class 'src.sim.model.utils.Adoption_Pool'>: {...   \n4005 2020-01-01     500  <class 'src.sim.model.utils.Adoption_Pool'>: {...   \n4006 2020-01-01     500  <class 'src.sim.model.utils.Adoption_Pool'>: {...   \n\n      simulation  subset  run  substep  timestep  \n4002           0       2    2        0         0  \n4003           0       2    2        1         1  \n4004           0       2    2        2         1  \n4005           0       2    2        1         2  \n4006           0       2    2        2         2  \n      timestamp  signal                                               pool  \\\n6003 2020-01-01       0  <class 'src.sim.model.utils.Adoption_Pool'>: {...   \n6004 2020-01-01     500  <class 'src.sim.model.utils.Adoption_Pool'>: {...   \n6005 2020-01-01     500  <class 'src.sim.model.utils.Adoption_Pool'>: {...   \n6006 2020-01-01     500  <class 'src.sim.model.utils.Adoption_Pool'>: {...   \n6007 2020-01-01     500  <class 'src.sim.model.utils.Adoption_Pool'>: {...   \n\n      simulation  subset  run  substep  timestep  \n6003           0       3    3        0         0  \n6004           0       3    3        1         1  \n6005           0       3    3        2         1  \n6006           0       3    3        1         2  \n6007           0       3    3        2         2  \n   index  MARKETING_STEADY  MARKETING_SHOCK_MAG  MARKETING_SHOCK_FREQ  \\\n0      0               500                 1234                     2   \n\n   EXO_EXPERIENCE  SOURCE_POOL  THRESHOLD  LEAK_COEFFICIENT  \\\n0             140       100000        0.1              0.01   \n\n                                             dataset  \n0        timestamp  signal                       ...  \n"
+    }
+   ],
+   "source": [
+    "# Import configuration\n",
+    "from src.sim import run\n",
+    "\n",
+    "# For plotting\n",
+    "import matplotlib.pyplot as plt\n",
+    "import seaborn as sns\n",
+    "\n",
+    "# For analysis\n",
+    "import numpy as np\n",
+    "import pandas as pd\n",
+    "\n",
+    "sns.set_style(\"whitegrid\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# configs_dicts: list = configs_as_dicts(configs)\n",
+    "# pprint(configs_dicts[0]['sim_config'])"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### cadCAD Specification\n",
+    "A Partial State Update Block (PSUB) is a set of State Update Functions and Policy Functions such that State Update Functions in the set are independent from each other and Policies in the set are independent from each other and from the State Update Functions in the set. In other words, if a state variable is updated in a PSUB, its new value cannot impact the State Update Functions and Policy Functions in that PSUB - only those in the next PSUB. The partial state update block for the Adoption Funnel is implemented according to the specification below."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "metadata": {},
+   "outputs": [
+    {
+     "output_type": "execute_result",
+     "data": {
+      "image/png": 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\n",
+      "text/plain": "<IPython.core.display.Image object>"
+     },
+     "metadata": {},
+     "execution_count": 6
+    }
+   ],
+   "source": [
+    "Image(filename='images/adoption_cadcad_spec.png')"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Run cadCAD Simulation\n",
+    "A Simulation execution produces a System Event Dataset and the Tensor Field applied to initial states used to create it.\n",
+    "Execute Simulation to produce the System Event Dataset, labeled \"experiments\""
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "metadata": {
+    "scrolled": false,
+    "tags": []
+   },
+   "outputs": [
+    {
+     "output_type": "stream",
+     "name": "stdout",
+     "text": "config_ids =  [{'M': {'MARKETING_STEADY': 500, 'MARKETING_SHOCK_MAG': 1234, 'MARKETING_SHOCK_FREQ': 2, 'EXO_EXPERIENCE': 140, 'SOURCE_POOL': 100000, 'THRESHOLD': 0.1, 'LEAK_COEFFICIENT': 0.01}, 'simulation_id': 0, 'run_id': 0, 'subset_id': 0}, {'M': {'MARKETING_STEADY': 500, 'MARKETING_SHOCK_MAG': 1234, 'MARKETING_SHOCK_FREQ': 2, 'EXO_EXPERIENCE': 140, 'SOURCE_POOL': 100000, 'THRESHOLD': 1, 'LEAK_COEFFICIENT': 0.01}, 'simulation_id': 0, 'run_id': 1, 'subset_id': 1}, {'M': {'MARKETING_STEADY': 500, 'MARKETING_SHOCK_MAG': 1234, 'MARKETING_SHOCK_FREQ': 2, 'EXO_EXPERIENCE': 140, 'SOURCE_POOL': 100000, 'THRESHOLD': 2, 'LEAK_COEFFICIENT': 0.01}, 'simulation_id': 0, 'run_id': 2, 'subset_id': 2}, {'M': {'MARKETING_STEADY': 500, 'MARKETING_SHOCK_MAG': 1234, 'MARKETING_SHOCK_FREQ': 2, 'EXO_EXPERIENCE': 140, 'SOURCE_POOL': 100000, 'THRESHOLD': 3, 'LEAK_COEFFICIENT': 0.01}, 'simulation_id': 0, 'run_id': 3, 'subset_id': 3}]\n   timestamp  signal                                               pool  \\\n0 2020-01-01       0  <class 'src.sim.model.utils.Adoption_Pool'>: {...   \n1 2020-01-01     500  <class 'src.sim.model.utils.Adoption_Pool'>: {...   \n2 2020-01-01     500  <class 'src.sim.model.utils.Adoption_Pool'>: {...   \n3 2020-01-01     500  <class 'src.sim.model.utils.Adoption_Pool'>: {...   \n4 2020-01-01     500  <class 'src.sim.model.utils.Adoption_Pool'>: {...   \n\n   simulation  subset  run  substep  timestep  \n0           0       0    1        0         0  \n1           0       0    1        1         1  \n2           0       0    1        2         1  \n3           0       0    1        1         2  \n4           0       0    1        2         2  \n      timestamp  signal                                               pool  \\\n2001 2020-01-01       0  <class 'src.sim.model.utils.Adoption_Pool'>: {...   \n2002 2020-01-01     500  <class 'src.sim.model.utils.Adoption_Pool'>: {...   \n2003 2020-01-01     500  <class 'src.sim.model.utils.Adoption_Pool'>: {...   \n2004 2020-01-01     500  <class 'src.sim.model.utils.Adoption_Pool'>: {...   \n2005 2020-01-01     500  <class 'src.sim.model.utils.Adoption_Pool'>: {...   \n\n      simulation  subset  run  substep  timestep  \n2001           0       1    1        0         0  \n2002           0       1    1        1         1  \n2003           0       1    1        2         1  \n2004           0       1    1        1         2  \n2005           0       1    1        2         2  \n      timestamp  signal                                               pool  \\\n4002 2020-01-01       0  <class 'src.sim.model.utils.Adoption_Pool'>: {...   \n4003 2020-01-01     500  <class 'src.sim.model.utils.Adoption_Pool'>: {...   \n4004 2020-01-01     500  <class 'src.sim.model.utils.Adoption_Pool'>: {...   \n4005 2020-01-01     500  <class 'src.sim.model.utils.Adoption_Pool'>: {...   \n4006 2020-01-01     500  <class 'src.sim.model.utils.Adoption_Pool'>: {...   \n\n      simulation  subset  run  substep  timestep  \n4002           0       2    2        0         0  \n4003           0       2    2        1         1  \n4004           0       2    2        2         1  \n4005           0       2    2        1         2  \n4006           0       2    2        2         2  \n      timestamp  signal                                               pool  \\\n6003 2020-01-01       0  <class 'src.sim.model.utils.Adoption_Pool'>: {...   \n6004 2020-01-01     500  <class 'src.sim.model.utils.Adoption_Pool'>: {...   \n6005 2020-01-01     500  <class 'src.sim.model.utils.Adoption_Pool'>: {...   \n6006 2020-01-01     500  <class 'src.sim.model.utils.Adoption_Pool'>: {...   \n6007 2020-01-01     500  <class 'src.sim.model.utils.Adoption_Pool'>: {...   \n\n      simulation  subset  run  substep  timestep  \n6003           0       3    3        0         0  \n6004           0       3    3        1         1  \n6005           0       3    3        2         1  \n6006           0       3    3        1         2  \n6007           0       3    3        2         2  \n"
+    }
+   ],
+   "source": [
+    "# cadCAD 4\n",
+    "# experiments, tensor, session = run.run()\n",
+    "experiments = run.run()\n",
+    "\n",
+    "# cadCAD 3\n",
+    "# experiments = run.run_3()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "metadata": {},
+   "outputs": [
+    {
+     "output_type": "execute_result",
+     "data": {
+      "text/plain": "pandas.core.frame.DataFrame"
+     },
+     "metadata": {},
+     "execution_count": 8
+    }
+   ],
+   "source": [
+    "type(experiments)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [
+    {
+     "output_type": "stream",
+     "name": "stdout",
+     "text": "cadCAD                        0.4.19\n"
+    }
+   ],
+   "source": [
+    "!pip list | grep cadCAD"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### View Head of First Experiment Results"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Collect some keys for investigation at selected timesteps."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "metadata": {},
+   "outputs": [
+    {
+     "output_type": "execute_result",
+     "data": {
+      "text/plain": "   index  MARKETING_STEADY  MARKETING_SHOCK_MAG  MARKETING_SHOCK_FREQ  \\\n0      0               500                 1234                     2   \n1      0               500                 1234                     2   \n2      0               500                 1234                     2   \n3      0               500                 1234                     2   \n\n   EXO_EXPERIENCE  SOURCE_POOL  THRESHOLD  LEAK_COEFFICIENT  \\\n0             140       100000        0.1              0.01   \n1             140       100000        1.0              0.01   \n2             140       100000        2.0              0.01   \n3             140       100000        3.0              0.01   \n\n                                             dataset  \n0        timestamp  signal                       ...  \n1        timestamp  signal                       ...  \n2        timestamp  signal                       ...  \n3        timestamp  signal                       ...  ",
+      "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>index</th>\n      <th>MARKETING_STEADY</th>\n      <th>MARKETING_SHOCK_MAG</th>\n      <th>MARKETING_SHOCK_FREQ</th>\n      <th>EXO_EXPERIENCE</th>\n      <th>SOURCE_POOL</th>\n      <th>THRESHOLD</th>\n      <th>LEAK_COEFFICIENT</th>\n      <th>dataset</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>0</td>\n      <td>500</td>\n      <td>1234</td>\n      <td>2</td>\n      <td>140</td>\n      <td>100000</td>\n      <td>0.1</td>\n      <td>0.01</td>\n      <td>timestamp  signal                       ...</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>0</td>\n      <td>500</td>\n      <td>1234</td>\n      <td>2</td>\n      <td>140</td>\n      <td>100000</td>\n      <td>1.0</td>\n      <td>0.01</td>\n      <td>timestamp  signal                       ...</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>0</td>\n      <td>500</td>\n      <td>1234</td>\n      <td>2</td>\n      <td>140</td>\n      <td>100000</td>\n      <td>2.0</td>\n      <td>0.01</td>\n      <td>timestamp  signal                       ...</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>0</td>\n      <td>500</td>\n      <td>1234</td>\n      <td>2</td>\n      <td>140</td>\n      <td>100000</td>\n      <td>3.0</td>\n      <td>0.01</td>\n      <td>timestamp  signal                       ...</td>\n    </tr>\n  </tbody>\n</table>\n</div>"
+     },
+     "metadata": {},
+     "execution_count": 10
+    }
+   ],
+   "source": [
+    "experiments"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 11,
+   "metadata": {},
+   "outputs": [
+    {
+     "output_type": "execute_result",
+     "data": {
+      "text/plain": "      timestamp  signal                                               pool  \\\n0    2020-01-01       0  <class 'src.sim.model.utils.Adoption_Pool'>: {...   \n2    2020-01-01     500  <class 'src.sim.model.utils.Adoption_Pool'>: {...   \n4    2020-01-01     500  <class 'src.sim.model.utils.Adoption_Pool'>: {...   \n6    2020-01-01     500  <class 'src.sim.model.utils.Adoption_Pool'>: {...   \n8    2020-01-01    1734  <class 'src.sim.model.utils.Adoption_Pool'>: {...   \n...         ...     ...                                                ...   \n1992 2020-01-01     500  <class 'src.sim.model.utils.Adoption_Pool'>: {...   \n1994 2020-01-01     500  <class 'src.sim.model.utils.Adoption_Pool'>: {...   \n1996 2020-01-01    1734  <class 'src.sim.model.utils.Adoption_Pool'>: {...   \n1998 2020-01-01     500  <class 'src.sim.model.utils.Adoption_Pool'>: {...   \n2000 2020-01-01    1734  <class 'src.sim.model.utils.Adoption_Pool'>: {...   \n\n      simulation  subset  run  substep  timestep  \n0              0       0    1        0         0  \n2              0       0    1        2         1  \n4              0       0    1        2         2  \n6              0       0    1        2         3  \n8              0       0    1        2         4  \n...          ...     ...  ...      ...       ...  \n1992           0       0    1        2       996  \n1994           0       0    1        2       997  \n1996           0       0    1        2       998  \n1998           0       0    1        2       999  \n2000           0       0    1        2      1000  \n\n[1001 rows x 8 columns]",
+      "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>timestamp</th>\n      <th>signal</th>\n      <th>pool</th>\n      <th>simulation</th>\n      <th>subset</th>\n      <th>run</th>\n      <th>substep</th>\n      <th>timestep</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>2020-01-01</td>\n      <td>0</td>\n      <td>&lt;class 'src.sim.model.utils.Adoption_Pool'&gt;: {...</td>\n      <td>0</td>\n      <td>0</td>\n      <td>1</td>\n      <td>0</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>2020-01-01</td>\n      <td>500</td>\n      <td>&lt;class 'src.sim.model.utils.Adoption_Pool'&gt;: {...</td>\n      <td>0</td>\n      <td>0</td>\n      <td>1</td>\n      <td>2</td>\n      <td>1</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>2020-01-01</td>\n      <td>500</td>\n      <td>&lt;class 'src.sim.model.utils.Adoption_Pool'&gt;: {...</td>\n      <td>0</td>\n      <td>0</td>\n      <td>1</td>\n      <td>2</td>\n      <td>2</td>\n    </tr>\n    <tr>\n      <th>6</th>\n      <td>2020-01-01</td>\n      <td>500</td>\n      <td>&lt;class 'src.sim.model.utils.Adoption_Pool'&gt;: {...</td>\n      <td>0</td>\n      <td>0</td>\n      <td>1</td>\n      <td>2</td>\n      <td>3</td>\n    </tr>\n    <tr>\n      <th>8</th>\n      <td>2020-01-01</td>\n      <td>1734</td>\n      <td>&lt;class 'src.sim.model.utils.Adoption_Pool'&gt;: {...</td>\n      <td>0</td>\n      <td>0</td>\n      <td>1</td>\n      <td>2</td>\n      <td>4</td>\n    </tr>\n    <tr>\n      <th>...</th>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n    </tr>\n    <tr>\n      <th>1992</th>\n      <td>2020-01-01</td>\n      <td>500</td>\n      <td>&lt;class 'src.sim.model.utils.Adoption_Pool'&gt;: {...</td>\n      <td>0</td>\n      <td>0</td>\n      <td>1</td>\n      <td>2</td>\n      <td>996</td>\n    </tr>\n    <tr>\n      <th>1994</th>\n      <td>2020-01-01</td>\n      <td>500</td>\n      <td>&lt;class 'src.sim.model.utils.Adoption_Pool'&gt;: {...</td>\n      <td>0</td>\n      <td>0</td>\n      <td>1</td>\n      <td>2</td>\n      <td>997</td>\n    </tr>\n    <tr>\n      <th>1996</th>\n      <td>2020-01-01</td>\n      <td>1734</td>\n      <td>&lt;class 'src.sim.model.utils.Adoption_Pool'&gt;: {...</td>\n      <td>0</td>\n      <td>0</td>\n      <td>1</td>\n      <td>2</td>\n      <td>998</td>\n    </tr>\n    <tr>\n      <th>1998</th>\n      <td>2020-01-01</td>\n      <td>500</td>\n      <td>&lt;class 'src.sim.model.utils.Adoption_Pool'&gt;: {...</td>\n      <td>0</td>\n      <td>0</td>\n      <td>1</td>\n      <td>2</td>\n      <td>999</td>\n    </tr>\n    <tr>\n      <th>2000</th>\n      <td>2020-01-01</td>\n      <td>1734</td>\n      <td>&lt;class 'src.sim.model.utils.Adoption_Pool'&gt;: {...</td>\n      <td>0</td>\n      <td>0</td>\n      <td>1</td>\n      <td>2</td>\n      <td>1000</td>\n    </tr>\n  </tbody>\n</table>\n<p>1001 rows × 8 columns</p>\n</div>"
+     },
+     "metadata": {},
+     "execution_count": 11
+    }
+   ],
+   "source": [
+    "experiments['dataset'][0]"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Input Driving Signal\n",
+    " This signal consists of a steady, constant component MARKETING_STEADY and a noisy influx of marketing spend, where magnitude and frequency can be governed through, MARKETING_SHOCK_MAG and MARKETING_SHOCK_FREQ, respectively."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 12,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def param_plot(df, state_var_x, state_var_y, parameter, save_plot = False, **kwargs):\n",
+    "    '''\n",
+    "    Reads df. (Uses the mean_df of Monte Carlo)\n",
+    "    Enter state variable name as a string for x and y. Enter the swept parameter name as a string.\n",
+    "    \n",
+    "    **kwarg y_label for custom y axis title\n",
+    "    **kwarg x_label for custom x axis title\n",
+    "    '''\n",
+    "    plt.figure(figsize=(9,6))\n",
+    "#     sns.scatterplot(x=state_var_x, y = state_var_y, hue = parameter, palette  = 'rainbow',alpha=0.1, data = df, legend=\"full\")\n",
+    "#     sns.lineplot(x=state_var_x, y = state_var_y, hue = parameter, palette  = 'nipy_spectral',alpha=1, data = df, legend=\"full\")\n",
+    "    sns.scatterplot(x=state_var_x, y = state_var_y, hue = parameter, palette  = 'rainbow',alpha=0.5, data = df, legend=\"full\")\n",
+    "\n",
+    "    title_text = 'Comparison of ' + parameter + ' values on ' + state_var_y \n",
+    "    for key, value in kwargs.items():\n",
+    "        if key == 'y_label':\n",
+    "            plt.ylabel(value)\n",
+    "            title_text = 'Comparison of ' + parameter + ' values on ' + value  #+ ' and ' + b_label\n",
+    "        if key == 'x_label':      \n",
+    "            plt.xlabel(value)\n",
+    "   \n",
+    "    plt.title(title_text)\n",
+    "    \n",
+    "    if save_plot == True:    \n",
+    "        filename = state_var_y + state_var_x + parameter + 'plot.png'\n",
+    "        plt.savefig(filename)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 13,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# param_plot(experiments[0:2001], 'timestep', 'signal', 'threshold', save_plot = True, x_label = 'Timestep', y_label = 'Daily Marketing Spend')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 14,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# param_plot(experiments[2001:4002], 'timestep', 'signal', 'threshold', save_plot = True, x_label = 'Timestep', y_label = 'Daily Marketing Spend')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 15,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# param_plot(experiments, 'timestep', 'signal', 'threshold', save_plot = True, x_label = 'Timestep', y_label = 'Daily Marketing Spend')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 16,
+   "metadata": {
+    "scrolled": false
+   },
+   "outputs": [
+    {
+     "output_type": "display_data",
+     "data": {
+      "text/plain": "<Figure size 1080x504 with 1 Axes>",
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GoaGh1E24DR0dHVi+fPnw62XLlmHKlClGXaTYd999cdJJJ+FrX/sa1q9fT6qzcOFCPPvss3jve9+Lo446CldddRUWLlyIX/ziF6T606ZNw1ZbbYUnn3xyzLXHH38c73//+zF58mRWPwDgnXfeQU9PD7bcckt2XUVRFEWpBfQAQ1EURVECYPr06ViwYAGefvrp4fdWrFiB9evXY9ttt8Wee+6JxYsXD2/yb775Zlx11VXYe++98eijj+K1114DAPzud7/D4Ycfjt7eXmNbb775JtavX48zzjgDBx54IJ544gn09fVhaGgoU8d99tkHN954I6IoQl9fHxYtWoSPfOQjAr0vy37hhRfwxhtvDPfvoIMOEpGdx8knn4zW1lbyl5X29vYO/1pMzP/93/9hhx12ILf59a9/HfPmzcPzzz8//N5zzz2Hyy+/HGeffTZd+XdZu3YtLr74Yhx//PFobm5m11cURVGUWkA/QqIoiqIoAbDVVlvhRz/6Ea6++mosXboUzc3NaG9vx7x587D11lsDwPB3ZADAZptthnnz5mH27Nn4zne+g7POOgtRFKGhoQELFiwY9XGIJNtttx0++tGP4hOf+ASampqw7bbb4u///u/x5ptvoqmpyVjvggsuwCWXXILDDjsM/f392HfffXHaaacBQOaXeJr44x//iAsuuAB33HEHZsyYgcsuuwxf/epX0d/fjy233BJXXHEFWZYLjY2NuPDCC3HKKafgc5/7HID077Cor6/Hbbfdhq985Suoq6vDMcccg7q6OgwNDWGnnXbC97//fXKb+++/P6644gr84Ac/wLJlyzA0NIQ5c+bgiiuuwF577TVcbtGiRfjNb34z/Hq77bbDzTffDAA4++yz0dLSgvr6egwODuJjH/vY8HwoiqIoynikLoqfF1UURVEURVEURVEURQkU/QiJoiiKoiiKoiiKoijBowcYiqIoiqIoiqIoiqIEjx5gKIqiKIqiKIqiKIoSPHqAoSiKoiiKoiiKoihK8IybXyF5/vnna/JnwwYGBtDQMG6mQVHGoGtcGc/o+lbGO7rGlfGOrnFlPFPL63vjxo344Ac/OOb92uxNCs3Nzdh+++2rrQabUqmEjo6OaquhKN7QNa6MZ3R9K+MdXePKeEfXuDKeqeX1/Ze//CX1ff0IiaIoiqIoiqIoiqIowaMHGIqiKIqiKIqiKIqiBI8eYCiKoiiKoiiKoiiKEjx6gKEoiqIoiqIoiqIoSvDoAYaiKIqiKIqiKIqiKMGjBxiKoiiKoiiKoiiKogSPHmAoiqIoiqIoiqIoihI8eoChKIqiKIqiKIqiKErw6AGGoiiKoiiKoiiKoijBowcYiqIoiqIoiqIoiqIEjx5gKIqiKIqiKIqiKIoSPA0+hb/wwguYP38+brjhBpx55plYuXIlAOCdd97BP/zDP+Dqq6/GaaedhjVr1qCxsRHNzc34yU9+gjfffBPnn38+6urqsM022+Cb3/wmJkzQsxZFURRFURRFURRF2VTxdoCxcOFC3HnnnZg4cSIA4OqrrwYAdHV14cQTT8TXv/51AMDf/vY33HPPPairqxuue9lll+GMM87AnnvuiYsuuggPPvggDj74YF+qKoqiKIqiKIqiKIoSON4ea9hyyy1xzTXXjHn/mmuuwQknnIBZs2Zh5cqVWLt2LU477TQce+yxeOihhwAAL730Ej784Q8DAPbbbz889thjvtRUFEVRFEVRFEVRFKUG8PYExiGHHIK333571HudnZ1YvHjx8NMX/f39OPnkk3HiiSeiq6sLxx57LHbZZRdEUTT8REZrayvWrVuX297AwABKpZJ8RwqgVvVWFCq6xpXxjK5vZbyja1wZ7+gaV8Yz4219e/0OjCT33XcfDj30UNTX1wMAZs6ciWOOOQYNDQ2YMWMGtt9+e/z1r38d9X0X3d3dmDx5cq7shoYGdHR0eNPdF6VSqSb1VhQqusaV8Yyub2W8o2tcGe/oGlfGM7W8vtesWZP6fqHfjLl48WLst99+w68fe+wxnHHGGQDKBxWvvvoqtt56a+ywww544oknAACPPPII9thjjyLVrCqvvAL8/vfAwED59eAg8MYb/tvdsAFYsiS7TBQBr72Wfm35cmDtWnm9Yt55B/jtb4Hubn9tuPD668DQUH65d94Benvt2sgaf1defBF4/PH0PqxeDaxalV5vaKjcd6A8N0uX+tEvZu3a8lrLo7cXSDwAhmXLgPXrR16/9lp5TJOsXg10dpb/XrKkbBt//WvZFiWolA8Ab70F9PXJyAaANWtGy3cpH0Uj85tk+XKA8HBcJtz1nCy/bl15XtN4/fXR85vm40ql8rp9880Rn8tlcLC8PpKk+UTX/oZEb2/Zn1WydCndR69YAXR15Zdbu7Zc1kRyjCrLv/km8NBDIzac56OXLh3tIzhk+YjYh8Y+6G9/M9s81cdRqRyfnp7ymrdl2TI7m3/rLWDjRvP1LB9EtYE33ki34SwfkUZleZOPy8vL3n47u79UKn1WZ2d5HUmyYcNYGwbK+mflKV1dwLvfyU9m1aoR/Svl+/ZxSfmVeUrSB+X5iCVLynloWh7R31/2N5Vk+bi08kWQzIOA8np+9FHgpZd4sjZuNOdZprzG1gd1dgIPPjg2FzXlcUXQ2Vn2XUXJN/m4NKR8UNBEHnnrrbeio446avj1Jz/5yairq2tUmUsuuSQ66qijoqOPPjr63//93yiKouj111+Pjj/++Ojzn/98dP7550cDAwO5bf35z3+WVb4glixZMvz3wEAUlU0xim64ofzeLbdEUVNTFK1Z41ePSy6Joi22yC7z0ENRVFcXRX/969hrH/5wFH3lKz40K7P77uVxOe88f23YUipFUX19FN1zT37ZmTOj6LvftWvnscfKY/DKK3b1TSxdOrLuHn547PXPfCaKjjgive4995T7XipF0Te+EUXbbju2TOUad+W006Jor73yy33/+1E0dero93bZJYr+7d/Kf7/2Wrm/v/vd2Lqf/3wUfepT5b833zyKzj47ihobo+jXv3bTPeboo6PoE58o/93XF0Xt7VG0YIGM7CiKomOPjaJDDqGXP+44c/kHHyzb/Jtvjr22++5RdPrpdjpGURS98EJ5Dp59llb+xRfL5Z95ZuS9M8+Mog9+cGzZt96KogkTouh//mfkvUsvLc9nJe9/f1lGS0sU3XQTvw9RFEU//Wln1NgYRStXjn5/r73K6zXmpZfK+j/5JE3un/9cLv/EE3Z6+eaqq6Jo1qzR733gA1F0/vm0+vvuG0Vf/GJ+uVNPjaJ//Mf0a48/Xh6jv/xl5L0vfSmKPvKR8t/bblu+fsYZUdTQEEW3357d1k47RdE559D0r2TlyrL83/wm/fpRR0XRoYdG0c47R9FXvxpFra1RdN116WW//OUo2nNPvg5pPPNMuf9//GP59UUXRdHWW/PlxD78gx8sjyWH/v6yj7v2WnMZk8967rmy/s8/n93GmjXlPOnmm8de+9rXomi33ej6fu1rUbTrruW/99gjiv71X8eW+dWvyu2tWjX22uBgFE2ZEkX//u/0Nk1U+qxPfaocmyS57LIo6ugY+/60aVF09dXmeiedFEUf/SivrcMPL+cSURRFM2aU86C//KU8v48/zpNF5ZVXyvIXLx5577zzomj77ct/77NPFJ1ySvnvF19cGtXXR9Gdd5rl7bVXWd6ZZ46W/+ijUfTzn0fRxIlR1N09Un6//aLo5JPTZf3nf44tXwQ77zySB8XceedIDrhuHV3WD35QzrOGhkbe22WXcl7Q1hZFP/7x2Dq2Pugznynrd/TRI++98UY5P3noIb48CT72sXL+5IuPfzyKjjmm/HdXVxQ1N0fRL3+ZXy/2QddcM/KeZB5eNKb9vdePkGyxxRZYtGjR8Ot77rlnTJn/9//+35j3ttpqK9x4440+VQuSyrs38al/Z2f5FLO7G5gyxV/bnZ3mu+yVZaIo/cSRUt+F+BTb9Y6vD7q6ynNH6X9nJ+/ueLIuIH8XpvI0Pm18OzvNdxbja2vX+l8DcXvUcV6zprxe4x84qhz7eAzTZHV2jtxF7uws3y3t77eftzT58TgPDJT/lhw37p26rDVZafNbbjn2movecV2qjLTyJt27usp30pJlk211do48FWU7v6tWTUB/f9mOZswwtyfR35BIG3vOmuDYsqlcmk+sLB+/v2RJ2dYoMc5mHaxbV5afZUcbNpT/j59SyeqT1JzH+sTyXGXb1Kf4OJPPotpAd3c5TzL5c86cVvbR1N/KvGzatNHXhobK/kdiDpO62D69SZEfE0XZT13G9bh20tkJNDaObte3j6scu0o90uZ33bq63DwumYdW5hGxjW/cCEyaNCJ/+vR0WXH53t6R8kWQNueVTwr29gJtbXRZaXlW/BSGyXZs5jvWsTJHXb263LZUbsalsxOY4PFzDJ2dI08EdXeX1xZl7GIfVK1xKYpCP0KiZFP5GFT8d/J/n23ntZGlC6W+BNV6VCwLzhy5jJOvtZC27pLXTW1W6lTEGqC2kTZWlXWpazmKRgKIVN+oekjIdy3v0+a5fc+bU5uykvObJjvLp1PlhejzAPN4cvrn6jPz5jlOLqlzbLum8+aq0j/m6SLpR9P8jKvNcutT1jHHjrltuPhDG70k7Zaii5T8yvcq/6fW47aVFgeloeQBNrE4y64o8YnbniRZc87Vx9TnLB8n6WOrHSN92KRJvsv6HK/oAUZAZDkR3wvRxmkl3/NtyKa2Q6GoOfKRxKT9nfUeta403M2f6T1KAhr/TfluEy4+17NNwm57zXUzlNdGni6c5NCUuLnOr6kfaQl7Wrk8uaGSN/aU+tRkjDvPyb85Bxg2cORW4wBDUrbNxpVSz+UwgOrPqVBjoovOXF2KihWU9qQ2oC7yOG1mvW+zQTTVTft7UzjASOLjAIPTflEUte+p/JtzgDHe0QOMwClyIfpK7sY7tgldLeGSQBatS1ZZm82jr4Q0770iqSXbt53TPHkh9bGSUPUC5OdCChe9JA7lTNd8J7xZbYckpyi5NvJtN3M+CNW+AJmDoaL6k3fAyZUTYgyvJkXM66Y69r7i0XhADzACQupU2LZt17scRZxEhmiQEneJJNuxlWuSTb2LUERCQm3DdGeEYlfJcj4OMHzaN3cebO8Suc43t+95c2pTVmJ+o6gutX6yPYn+hkTeeNrU55bj2jnFR7tszLL0TPrIvLISpPXf1WYlN315ciViq4s/tNFL0m4pukjJr3yv8n9qPWpbPmNrWptJ+Xk65PXb9D8nPlHb80HWnHP1ofrfvPZd2jK1UwQ+bNIkn9PXao9LUegBRkBkGabvhUgxRB9OiUrIBimRZEm2YyvXJJsahH2vgTxdTHql1aWu5SjS78Co/N+lHY5sannOBsOUuLnOr6kfyfYk+hsSrmuCY8uc9ZlmX/odGDKybepT1jHHjrltuPhDG70k7Zaii5T8yvcq/6fWo7aV1h9fPo7iHzix2FTW1Bfb2OqTrDnn6mPqs34Hhrx8Tl+rPS5FoQcYAZFlmL4XIsUQJZMELiEbpESSJdmOrVyTbGoQ9r0G8nQx6ZVWl7qWKRsOLrZByUa+a3mfNs/tOydBpJaVmF9TP5LtSfQ3JLgJe1p9qi1z1meafekBhoxsm/qUdcyxY24bLv7QRi9Ju6XoIiW/8r3K/6n1qG2l9ceXj6P4h5Fr6U/SZcnL64ttbPVJ1pxz9TH1WQ8w5OVz+lrtcSkKPcAIiCzD9L0QKYYomSRwCdkgJZIsyXZs5ZpkU4Ow7zWQp4tJr7S61LVM2XBwsQ1KNvJdy/u0eW7fOQkitazE/Jr6kWxPor8hwU3Y0+pTbZmzPtPsSw8wZGTb1KesY44dc9tw8Yc2eknaLUUXKfmV71X+T61HbSutP758HMU/cGKxqaypL7ax1SdZc87Vx9RnPcCQl8/pa7XHpSj0ACMgsgzT90KkGKJkksAlZIOUSLIk27GVa5JNDcK+10CeLia90upS1zJlw8HFNijZyHct79PmuX3nJIjUshLza+pHsj2J/oYEN2FPq0+1Zc76TLMvPcCQkW1Tn7KOOXbMbcPFH9roJWm3FF2k5Fe+V/k/tR61rbT++PJxFP/AicWmsqa+2Ooi9qUAACAASURBVMZWn2TNOVcfU5/1AENePqev1R6XotADDEVRRBiPzrIyGCvjE53f8UvyACMEQtJFSSekWDbeNiMh9MPHQZAygvo4pQj0ACMgsk4WfTtIykmi5F0OLiEHcYm7RJLt2Mo1yebcRQhhnZr0oZ5mJ9uQ7pvtqbqNfNfyPm2e23fOHS5qWYm7gKb6rusoZJ8H8O84ptWn2jJnfWbdYaT4aKm7g2lyKetNMpam+RlXm+XWp4w9x465bdj4Qxe9JO3WtI6lsNXfdh3kxWNpTP4hS4e8fufJpfrDavn3LP/I1YeaZ+W179KWqZ0ikPTVefI5fa32uBSFHmAERJZh+l6IFEP04ZSohGyQEkmWZDu2ck2yqUHY9xrI08WkV1pdzlqWHnfboGQj37W8T5vn9p2TIFLLSiTRpvqu6yhknwfwE/a0+lRb5qzPLPui+Gip5DpNLmW9SfrRtP672iy3PmXsOXbMbcPFH9roJWm3FF1c5Vf+b3ovSy9OW6b++PJxFP/A8RFZfoXrD6vl301xMO1viqy0+j7yBtu16hMfNmmSz+lrtcelKPQAIyCyDNP3QqQYog+nRCVkg5RIsiTbsZVrkk0Nwr7XQJ4uJr3S6lLWcnxNvwPDj81z+85JELOSnWQ5/Q4MO7gJe1p9qi1z1meafel3YMjItqlPWcccO+a24eIPbfSStFtb2+LK5/op23VgGltfPo7iHzix2FTW1Bfb2OqTNJ3y4mSWrLT6+h0Y8vI5fa32uBSFHmAERJZh+l6IrkZRhCGb2q42EkmWZDu2ck2yqUHY9xrI08WkV1pdylrmbn6o2AYlG/mu5X3aPLfvnASRmuzkJVsc0pJCl2QrZJ8H8BP2tPpUW+aszzT70gMMGdk29SnrmGPH3DZc/KGNXpJ26zu+Uv1kWj2bdWAaW18+juIfOLHYVNbUF9vY6pM0ndLmnyorrb4eYMjL5/S12uNSFHqAERBZhul7Ido47+Q134ZsarvaSCRZku3YyjXJpgZh32sgTxeTXml1KWuZu/mhYhuUbOS7lvdp89y+cxJEarKTl2zZ6pWmm0R/Q4KbsKfVp9oyZ32m2ZceYMjItqlPzS2odsxtw8Uf2uglabe+4yvVT6bVs1kHprH15eMo/oETi01lTX2xja0+SdMpbf6pstLq6wGGvHxOX6s9LkWhBxgBkWWYvheijfNOXvNtyKa2q41EkiXZjq1ck2xqEPa9BvJ0MemVVpeylrmbHyq2QclGvmt5nzbP7TsnQaQmO3nJFk2vutT6Sd0k+hsS3IQ9rT7VljnrM82+QjjAiNEDDLpcidjq4g9t9JK0W9/xleon0+rZrAPT2PrycRT/wInFprKmvtjGVp+k6ZQ2/1RZafX1AENePqev1R6XotADDEVRlAzGexDY1NH5Hf+EMMe+NqGKoighoT5OKQI9wAiIrJNF3w7B5vQ5ec33SaSp7WojcZdIsh1buSbZ1LsIRSTn1DYod16S15Pl4mv6BIYfm+f2nXOHi3q3Ju9uka1eabpJ9DckuHcc0+pTbZmzPtPsK4QnMOJ/+gQGXa5EbHXxhzZ6Sdqt7/hK9ZNp9WzWgWlsffk4in/gxGJTWVNfbGOrT9J0Spt/qqy0+voEhrx8Tl+rPS5FoQcYAZFlmL4Xoo3zTl7zbcimtquNRJIl2Y6tXJNsahD2vQbydDHplVaXspa5mx8qtkHJRr5reZ82z+07J0GkJjt5yZatXmm6SfQ3JLgJe1p9qi1z1meafekBhoxsm/rU3IJqx9w2XPyhjV6Sdus7vlL9ZFo9m3VgGltfPo7iH9L8NlVeXl9sY6tP8vrMtZW0+nqAIS+f09dqj0tR6AFGQGQZpu+FSA1apjJFGLKp7WojkWRJtmMr1ySbGoR9r4E8XUx6pdWlrGVfNuhTdlK+a3mfNs/tOydBpCY7Ekm0qX5SN4n+hgQ3YU+rT7VlzvrMsi+Kj5ZKrtPkUtabpB9N67+rzXLrU3MLqh1z23DxhzZ6Sdqt7/hK9ZNp9WzWgWlsffk4in8Y+Tv9u4yy5OX1xTa2+iRNp7T5p8pKq+8jb7Bdqz7xYZMm+Zy+VntcikIPMAIiyzB9L0Rq0DKVKcKQTW1XG4kkS7IdW7km2dQg7HsN5Oli0iutLmUtx9f0CQw/Ns/tOydB5CQ7+gSGHdyEPa0+1ZY56zPNvvQJjOw2OfK4Mqi5BdWOuW24+EMbvSTt1nd85fjJZD2bdWAaW18+juIfODZiKmvqi21s9UmaTmnzT5WVVj/vCQwbbNeqT3zYpEk+p6/VHpei0AOMgMgyTN8L0cZ5J6/5NmRT29VGIsmSbMdWrkk2NQj7XgN5upj0SqtLWcvczQ8V26BkI9+1vE+b5/adkyBSkh2p+TX1I6mbRH9Dgpuwp9Wn2jJnfabZlx5g0PSkyOPWpeYWVDvmtuHiD230krRb3/GV4idN9WzWgWlsffk4in/g2EaWPXH9YbX8e5pOafNPlZVWn3KAIeFHqh0jfdikST6nr9Uel6LQA4yAoCTbvtvmOO/kNd+GbGq72kgkWZLt2Mo1yaYGYd9rIE8Xk15pdSlrmbv5oWIblGzku5b3afPcvnMSREqyIzW/pn4kdZPob0hwE/a0+lRb5qzPNPsK4QAjRg8w6HIlYquLP7TRS9JufcdXip801bNZB6ax9eXjKP6BYxtZ9sT1h9Xy72k6pc0/VVZafT3AkJfP6Wu1x6Uo9ABDURQlg/EeBDZ1dH7HPyHMsa9NqKIoSkioj1OKQA8wAoJyt9B325zT5+Q13yeRprarjcRdIsl2bOWaZFPvIhSRnFPboNx5SV5Plouv6RMYfmye23fOHS7K3Rqp+TX1I6mbRH9DgnvHMa0+1ZY56zPNvkJ4AiP+p09g0OVKxFYXf2ijl6Td+o6vFD9pqmezDkxj68vHUfwDxzay7InrD6vl39N0Spt/qqy0+voEhrx8Tl+rPS5FoQcYAUFJtn23zXHeyWu+DdnUdrWRSLIk27GVa5JNDcJFzA1n01P5f7IuZS1zNz9UbIOSjXzX8j5tntt3ToJISXak5zctKXRJtkL2eQA/YU+rT7VlzvpMsy89wKDpSZEnsfGgypWIrS7+0EYvSbtN6uEr9nP9lO06MI2tLx9H8Q8c28iyJ64/rJZ/T9Mpbf6pstLq6wGGvHxOX6s9LkWhBxgBQUm2fbfNcd7Ja74N2dR2tZFIsiTbsZVrkk0NwkXMEWfTk9SFGgzSEi1TWRt8yk7Kdy3v0+a5feckiJRkR2oOTPWTukn0NySy+k2tT7VlzvrMsi+Kj7YZ7zz5lT6FWlYCH2tdYuNBlSsRW138oY1eknab1MNX7Of6Kdt1YBpbXz6O4h84tpFlT5z4RG3PB2k6pc0/VVZafR/2YbtWfeLDJk3yOX2t9rgUhR5gBAQl2fbdNsd5J6/5NmRT29VGIsmSbMdWrkk2NQgXMUfUdcbd2KS1EV/TJzD82Dy375wEkZLsSM1vFNWl1k/qJtHfkMhK5qn1qbbMWZ9p9qVPYND0pMiT2HhQ5UrEVhd/aKOXpN0m9fAV+7l+ynYdmMbWl4+j+AeObWTZEyc+UdvzQZpOafNPlZVWX5/AkJfP6Wu1x6Uo9AAjICjJtu+2Oc47ec23IZvarjYSSZZkO7ZyTbKpQbiIOeJsepK6UINBMtHSAww/Ns/tOydBpCQ7UvNr6kdSN4n+hkRWMk+tT7VlzvpMs68QDjBi9ACDLlcitrr4Qxu9JO02qYev2M/1U7brwDS2vnxcVv9MOuT12/Q/Jz5R2/NBmk6m8aHISquvBxjy8jl9rfa4FIUeYARElhPxvRBtnFbyPd+GbGo7FKhJlqt8X0mMSTY1oBcxN9zNn+k9SsLrc835lu1qz9RrLvpzx4CzNinJjtQcmOQkx0eivyGRN/aU+tRkjDvPpvjpy0dT5FL9iqQvtR0HjkxqeZux59blxi+KPK5ePny7r/hquym0HdPk+ved11Hil0uundcXru8qgrw+S+QORdlHtWNkUfueyr+pMXNTQA8wAqcazs3m2qaMbUJXS0htiCVw0cVGNx9PYFDeKxJfGzsfSMxpJdLzK02oesVUKxHnEM8xBV+b+zjZ5egihU/fFbJcG/khrWNpXydJSLrkYbtBN8mppb4XQXJ8ffg46UPKWqHIw+ZaQw8wAiLrtK2oAE85wDA5kCJOIkM0SIm7RJLt2Mo1yabeRShijqjrLO9uCGUtx9f0IyR+bJ7bd84dLlPZtP/1IyR2mMaT0z+qLXPWZ9J+Ad4c24x3Xt8rddKPkNDlSsRWF39oo5ek3Sb18BX7uX7Kdh2YxtaXj8vr32gd0r/LKEteXl9sY6tP0nRKGx+qrLT6+hESefmcvlZ7XIpCDzACgpJs+26b47yT13wbsqntaiORZEm2YyvXJJsahIuYI86mJ6kLNRgkExs9wPBj89y+cxJESrIjNb+mfiR1k+hvSGQl89T6VFvmrM+k/QK0OXYZ77y6HH8iGUtd5yhNnsTGgypXIra6+EMbvSTtNqmHr9jP9VO268A0tr58XF7/uLE4y5448Ynani/SYpXpGkVOsr4eYMjL5/S12uNSFHqAERCUZNt327YJXhGGbGq72kgkWZLt2Mo1yaYG4SLmiLPpSdOFYlfJxEYPMPzYPLfvnASRkuxIzW/WWnNJtkL2eUB2Mk+tT7VlzvpM2i+gBxhS/sZGN2pu4bLZkfRTSf/M1UvSbpN6+Ir9XD9luw5MY+vLx+X1jxuLs+yJE5+o7UmTlxdx9THJ0wMMefmcvlZ7XIpCDzACgpJs+27bNsErwpBNbVcbiSRLsh1buSbZ1CBcxBxxNj2c/9Pa8GWDPmUn5buW92nz3L5zEkRKsiM1B1lJoUuyFbLPA9zHkWPLnPWZtF+qbi7jnVc3isYm9VllJX1N1v828iQ2HlS5ErHVxR/a6CVpt0k9fMV+G1uxWQemsfXl4/L6x43FWfbEiU/U9qTJilVpf3PlUcbStt+2a9UnPmzSJJ/T12qPS1HoAUZAUJJt323bJnhFGLKp7WojkWRJtmMr1ySbGoSLmCPOpofzf1ob8TV9AsOPzXP7npXAcMom/9cnMOzg2JSpPtWWufOcrKNPYND05Mi01cFUxmWzI+mnkv6Zq5ek3Sb18BX7uX7KRpdkH4rIGfL6x43FWfaU5YuouvkmK1al/c2VR/Fxtv22Xas+8WGTJvmcvlZ7XIpCDzACIsuJ+F6INk4r+Z5vQza1HQrUJMtVvq8kxiSbEtDzyknB3fzlvaYEWB/98i3b1Z6p1yQ2QrZzmlWXkuxIz0HaGnNJtkL2dUD+2FPqU5Mxl3k2vWeSZQPF91PXnWQs5fg9W5nU8jbxkVuXG78ounD18uHbfeVXRdqK9Bxx2qToYzNvWeMX/83xXb4xtWmbx9n0TbLf1Y6RRe17Kv/mHGCMd/QAI3CKXoi+ErzxjG1CV0twkk/f/XMJsDabR/0Z1errV4n0+OnPqLpRjUQ8j6QuIfyMaqxDrf6MalGJerXlFxnL8rCNX0UgcTBUVH+yDhhs5IQYw6tJclz0Z1TlKPKwudbQA4yAyDptKyrAc06sk9eKSHBCNEiJu0SS7djKNcmm3kUoYo6o6yzv7gplLSeDseQBhk/75tqi7V0iV5vn9j3rbpcp0af4VP0IiR0cmzLVp9oyZ30m7RcI4yMkyQOMrLKSvibrfxdZkvVMfZaIrbb62uolabfJ+Oor9nP9lI0uyT4UkTPk9Y8bi7PsKcsXUXXzTV685OpjE1Ml/Ui1Y6QPmzTJ5/S12uNSFHqAERCUZNt327YJXhGGbGq72kgkWZLt2Mo1yaYG4SLmiLPp4fyf1gYlGNtgG5Rs5LuWz9PPRW9u3zkJDKWs1PxGUZ1RB5dkK2SfB/BsylSfasuc9Zm0X0APMCT8jeTGI62My2Ynz59TZKSVt9FL0m4pukjJz3ovrZ7NOkjGPt8+Lq9/3FicZU9Zvoiqm2/y4iVXH5uYKulHqh0jfdikST6nr9Uel6LQA4yAoCTbvtu2TfCKMGRT29VGIsmSbMdWrkk2NQgXMUecTQ/n/7Q2KMHYBtugZCPftXxewuOit8vGwkY/m2TLVq/4tUuyFbLPA3g2ZapPtWXO+kzaL6AHGBL+RnLjkVbGZbOT588pMkzluTIl7TYZX33Ffq6fstEl2Ycicoa8/nFjcZY9Zfkiqm6+yYuXXH1sYqqkH6l2jPRhkyb5nL5We1yKQg8wAoKSbPtu2zbBK8KQTW1XG4kkS7IdW7km2dQgXMQccTY9nP/T2vBlgz5lJ+W7ls9LeFz0dt1YcPWzWQu2esWvXZKtkH0e4D6OHFvmrM+k/VJ1cxnvvLpRVPs/oyq58Ugr47LZyfPnFBmm8lyZknabjK++Yr+Nrdisg2Ts8+3j8vqX1g+Oj8jri01s9UlevOTqY5tfcdsx1at2jPRhkyb5nL5We1yKQg8wAoKSbPtu2yXB823IvtuwRSLJkmzHVq5JNjUIFzFHnE0P5/+0NuJr+gSGOeFx0dt1Y8HVzzTm+gSGHRybMtWn2jJnfaZtTEJ4AoO63iSTYtc5ypIlWc/UZ4nYamt3tneRJe02GV99xX6un7LRJdmHInKGvP6N1iH9o4BZ8vL6YhNbfZIXL7n62MRUST9S7RjpwyZN8jl9rfa4FIUeYARElhPxvRBtnFbytW9D9t2GK9Qky1W+ryTGJJsS0PPKScFNQvNeUwKsj375lu1iz5RrEvrbbizy3jPJltzM5bUVv3ZJtkL2dUD+2FPqU5Mxl3k2vWeSZQPF91PXnWRS7CNWS2w8qHK5dbnxK4sQDjAqZRYVh3zZio85orZJ0cdm3rLGL/7bZwzlkhWr0v6myqO2k3eNS7VjZBEHGMm/OQcY4x09wAicoheirwRvPGOb0NUSnOTTd/9cAqzN5lF/RrX6+lUiPX76M6puVCMRzyOpi/6MahgyqiGb20ZI69k2fhWByyFG/HdR/ck6YLCRE2IMrybJcdGfUZWjyMPmWkMPMAIi67StqE0h58SaU1eKEA1S4i6RZDu2ck2yqXcRilgH1KQn7+5KXjCsbEc/QuLH5rkysu52UfQzjbmvj5BQdbWRGwIcmzLVp9oyZ30m7RcI4yMknC/xlMJ1jrJkSdYzzbFEbHW1O65MSbtNxldfsZ/rp2x0SfahiJwhr3/cWJxlT1m+iKqbb/LiJVcfm5gq6UeqHSN92KRJPqev1R6XotADjICgJNu+27ZJ8IoKQj7bcEEiyZJsx1auSTY1CBexVl2TUGpyWtkfPcDwY/OuGwuufjbJlqReEv0NCY5NmepTkzHO+kzaL1CbBxgS8+46RxJ6UXMLl81Onj+nyEiWD+EjJMn46iv2c/2UjS7JPhSRM+T1jxuLs+wpyxdRdfNNXrzk6mMTUyX9SLVjpA+bNMnn9LXa41IUeoAREJRk23fbNgleUUHIZxsuSCRZku3YyjXJpgbhItaq7VhzEvlkYqMHGH5s3nZjQUlgKGWl5peql0R/Q4JjU6b61GSMsz6T9gvoAYaEv5HceKSVcdns5PlzioxkeT3AyK5nsw6Ssa+o3NHUP24szrKnLF9E1c03efGSq49NTJX0I9WOkT5s0iSf09dqj0tR6AFGQFCSbd9t2yR4RQUhn224IJFkSbZjK9ckmxqEi1irtmPNSeRtEhsOPmUn5buW92nzthsLSgJDKSs9B3l6SfQ3JFzHkbpOuevTduxdxjuvLsfmJeddcq1LbjzSyrhsdvL8OUVGsrweYGTXs1kHSTsoKnc09Y8bi7PsydRWEXZOJS9ecvWxza+47ZjqVTtG+rBJk3xOX6s9LkXh9QDjhRdewNy5cwEAL730Evbdd1/MnTsXc+fOxb333gsA+OEPf4jPfe5zOOaYY/Diiy8CAN58800ce+yxOO644/DNb34TQ9X41qsqQEm2fbdtk+AVFYR8tuGCRJIl2Y6tXJNsahAuYq3ajjU3wNoGDgo+ZSflu5b3afO2GwtKAkMpKzUHVL0k+hsSruNIXafcmGQ79i7jnVeXY/OS8y651iU3HmllXDY7khumuJweYGTXs1kHSTsoKneUigNZdUxtFWHnVPLiJVcf2/yK246pXrVjpA+bNMnn9LXa41IUDb4EL1y4EHfeeScmTpwIAPjzn/+Mk046CSeffPJwmZdeeglPPvkkfvWrX6FUKuH000/Hr3/9a1x22WU444wzsOeee+Kiiy7Cgw8+iIMPPtiXqsGQ5UR8L0Qbp5V87TsI+WxDAmqS5SrfVxJjkk0J6HnlpOAmoXmvKQG26G/UlpDtYs+UaxL6224s8t4zyTYlAq7zS02sJPobEnlj7yIjrUwUAXV15mvJ9yrnlfMREhsovr+aHyGRlC2x8aDK5dblxq8sQjjAqJTpK1ZU/m96z1TPtS0XeZw2KfrYzFvW+MV/bwoHGEl8fISE035RFHGAkfybEzPHO96ewNhyyy1xzTXXDL/+05/+hIcffhjHH388vvGNb2D9+vV45plnsM8++6Curg7vec97MDg4iFWrVuGll17Chz/8YQDAfvvth8cee8yXmsFT9EL0leCNZ2wTulqCk3zW0kEGpZ50olFkAkfF9+GbJNLjV41EkkOoesWEOn7SSblr3WqOU+ibhRBjRgjr2TZ+FYHLIUb8d1H9kY7nIcbwauJyCGTbRtq18UiRh821hrcnMA455BC8/fbbw6932WUXHHXUUdhpp52wYMEC/OhHP0J7ezumTp06XKa1tRXr1q1DFEWoe/dWS/xeHgMDAyiVSvIdKYBY7+XLGwBsBgBYv74bpdJarF8/GUArVq7sRKnU502H3t7pAJqxbNlyNDcPppZZu7YNQDtWr16DUmlDRV0A6EB/fz9KpZXiuvX1leUDwMaNG1EqrRJvw4VVq1oATMO6detRKpnXajy/Gzb0olRazW6nq6sVwOQx4+9KZ2czgOnvtrEWpVL3qOuDg7MxNASUSsvG1F23rh1AG1atWo2NG1sBNGHp0mUYHBx9W1vKNvv7ZwJoxJIlJTQ2mstt2DANQAuWL1+BUmkAXV11AOagr68PpVInVq+eCGAq1q5dh1Jp/ai6g4OzMDRUh2XLVgKYNfx+bJOuxPJLpWVYsaIRwEz09GxAqbTGWfaI/AkolZaSy0dRevnY5letWo1SqXf4/Z6eeDztbX7NmkkApqCrqwulUo9V+b6+8noolZZi/fqRaD1ikyPzW+njWloGsXTpBACzh+t0d9vNbxRNBgB0dq5CqbTxXb2ApE8c0X+sjWX3l1a+aGIbW7ZsOSZPHsTKleXx3LixbGNZlBOrjnfj9orMsv39mwFowJIlJUxI3HKJfeKaNSM+MS6/dOkyVM4vAKxfb/bRq1eP9hEcYh9qkj84OAtA/aj3enp6UCp1jSlb6eOamlhqjGFkfMo2s3Fj2QaWLl2Gujreo0dl/8C3eYqPM/ms2AZi/U2sXNkEYEaqj670Ea2t+Rl9XD5eP2l5TZyXVdp8zEicd/fplT5raGgmBgcjlErLnWSOlj9iw5MmlfM+Sp4yMLAZoqieHGMAYGhoNgYHIyxfvmpY/po1vQCmevNxcZyvlN/XNwNxnlKe37IPiqJmADDmcbHPKssYnUd0da1Fd3cDgElYuXIlSqX+d2uZfVx395R3y/vN7StZsybdx8V5HACWPhs2TAUwcUyeFZNm87Y+KPahleOZlccVQRTNwcDAkKhNVjI0NAeDg2X5sY+j5CkmH1Sre2QT3g4wkhx88MGYPHny8N8XX3wxDjroIHR3jzit7u5utLe3Y0JFltLd3T1cL4uGhgZ0dHTIK+6ZUqk0rPeSJSPvT5rUio6OVkyaVH49ffoM+OxenChtttksYzttZf+GKVOmoqNj5OBpw7t76fr6Ri9zsLEiP2hsbA5unuMzuNbWNnR0tBnLrXr33KW5ucWqD+3t5f+T4+/KtGmVbUxGR8doe4sf207TubW1/P/UqdOGDxRmzZqNOSMxbNQad6X+3T3AnDkdmcl9czkXwcyZm6GjA2hpKb9uaGhCR0cHpkwpv25ra0dHR/uounF/N9ts1qj3Y5t0pXI833qr/HdLy0R0dEx0lp2UTy0fRenlY5ufOnXaKL+w/t1coaHB3uZjt97ePgUdHVOsyje8G8Fmz54zPKdlfcv/t7aOzG/Sxw0mzmknTrSb3ygqx7Bp06YPj1Hssyp94oj+Y20sDW75ooltLB7POGw3Njblron4EeMJE/LjdqXN148+Axj2iZMnj/jEuMxmm40+vACASZPMPjpeH7GP4BD7UJP85EdfAKClZRI6OiaNeb+yv/EY2zIyPmWbqfTRnC6WSiXMnl126lybj+9jZfk4k8+KbSDW38T08vl7qo+u9BHt7cglLh+vn7S8Js7LKm0+Zum7e/rmZnefXumzgPI4SeY/aXnfinf32ll5yoQJ5piRRV1dOSbH8idPLgdmXz4ujgmV8sfOb+yDygmaKY+r/EhaMo9ob5+Mdz8tj+nTZ6KjY+Tut8nHjZT3m9tXEvuTpI9rrTAZjj6mPCsmzeZtfVDsIyrHMyuPK4IoAiZMqPe6J6mrK8uPfRwlT0nzQZJ5eNGsWZN+EFzYr5B88YtfHP6SzsWLF2PHHXfEbrvthj/84Q8YGhrCkiVLMDQ0hOnTp2OHHXbAE088AQB45JFHsMceexSlZlXJeszN96NAnM89+vhcbRZFfzyBi8TndCXbsZVrkk39HGcRa9V2rDmfd4374uvx3bSxkhwz7qO5Np/TlXwM1+XRbo5+eWMuaZccXTlyQ4JjU3l1bctmjXPad5v4+ohHXl3OY8+S8+4yR1J6UXML6vxy27C1uxC+AyMZX33Ffq6fsl0/ydhXVO6Y5R9GytRl6pIXS7i2Vg3/Tol93NyBKjdPB25bLrKk8GGTJvm+4mstU9gTGN/61rdw8cUXo7GxETNnzsTFF1+MtrY27LHHHjj64y+QFwAAIABJREFU6KMxNDSEiy66CABw3nnn4cILL8T3vvc9bL311jjkkEOKUrOqcJJtX23bJHhFBSGfbbggkWRJtmMr1yQ7y0kXmYwk2+OU4yQXpmRRql+2QclGvmt5nzZvu7GgJDCUslLzS9VLor8hwU3Ys+ralqVsUNLKu+rErZulu6QeebJ89tGlnskHScRWW7vTAwxavbSni0x1krGvqNwxyz9QbSMvlnBtrRr+nRL7uLkDVW6eDty2XGRJ4cMmTfJ9xddaxusBxhZbbIFFixYBAHbccUfcfPPNY8qcfvrpOP3000e9t9VWW+HGG2/0qVqQZDkR3wvRxmklX/sOQj7bkICaZLnK95XEmGRTE5ki5oabhOa9NvW3iMBkal9Ctos9U65J6G+7sch7zyRbYhNn25ZNuyH7OoCW6OfVdS1L2aBQdZNYy5zrRWxsfMRqiY0HVS63Ljd+ZRHCAUalTF+xovJ/03umety2khuyInPHJNwDjCz5WRvNIuycCuWgQSp3MF336d+Kpqg8sfJvTswc7xT2ERIlnyKS7by2qZtVbl0XQj/AkEiyJNuxlWuSneWkXTZoNtiONSe5oAR5F7KSHWn5ruV92rzthp6y5ihlpeaXqpdEf0OCm7Bn1bUtmzXO+gSG2xxJ6UXNLVw2Ozb+PE9WCAcYlbJ8bJZs/ZRNHyljJg3FP1BtgxpLuPKK9O+U2Ocyp5SYKulHqh0jfdikSb6v+FrL6AFG4BS9AClBSxmNrSOuJagJJKWsBNxk1LUep241ZdvCmd9q42v8QupjJaHqFRNqsuR6IFV0XZ+Ebh8hxowQ5tI2fhWFS+7je/OX1W7yPVsZpuubGkXYTDUOwEJgPMYjKfQAIyBsTnGl27Y5dfetY9GbYy4Sd4kk27GVa5KdlWgk7xD50M/UHqdc3v/Juml9ljzA8Gnf3MSQOr+U9zlwZXDuwFDKSs9vnl4S/Q0Jjk3l1bUtyx1nm/hGIa8uRxfJeXeZIym9qLkFdX65bbjaHVemr/nj+nWu/Kz3KPUobSVjX1G5IyUOcGw4rY6tvCL9OyX2ceeUKjdPB25bLrKk8GGTJvm+4mstowcYAcFJtn21bRO0igpCPttwQSLJkmzHVq5JdpaTLjIZSbbHKcdJLkzJolS/bIOSjXzX8j5t3nVjwdXPJtmS1EuivyHBTdiz6tqWzRpn/QiJ2xxJ6UXNLVw2O9w1QpGlHyHh1aO0lYx9ReWOWf6Baht5sYRra9Xw75TYx51Tqtw8HbhtuciSwodNmuT7iq+1jB5gBAQn2fbVtk3QKioI+WzDBYkkS7IdW7km2VlOushkJNkepxwnuTAli1L9sg1KNvJdy/u0eduNBSWBoZSVml+qXhL9DQluwp5V17YsZYOSVt5VJ27dLN0l9ciT5bOPLvVMPkgittranR5g8OpR2krGvqJyxyz/QLWNvFjCtbVq+HdK7OPOKVVung7ctlxkSeKzbdtcMYRxKQI9wAgITrLtq22boFVUEPLZhgsSSZZkO7ZyTbKzEqcik5Fke5xynOTClCxK9cs2KNnIp5bPu+bD5m03FpQEhlJWan6pekn0NyS4CXtWXduylA1KWnlXnbh1s3SX1CNPls8+utQz+SyJ2Gprd3qAwatHaSsZ+4rKHbP8A9U28mIJ19aq4d8psc8md+DEVEk/Us0YWUTbtrli6LmDFHqAERBZTsT3QnTZ8BQVhHy2IQE1yXKV7yuJMcmmJjJFzA03Cc17beqv7/74tBnbxIBzTUJ/241F3nsm2RKbuPS26nLbsmk3ZF8H0BL9vLquZSkbFKpuEmuZc72IjY2PWC2x8ZCuS1kjXEI4wKiU6TNWcP2U7VwmN2RF5o5J9GdUx77P1cfF7/nwb0VS9PzZxMzxjh5gBEQRyXZe29TNKreuC6EfYEgkWZLt2Mo1yc5Knlw2aDbYjjUnuaAEeReykh0p+RyZLmMhsRFy0ZOjX96YS9ql7cYgT25IcBP2rLq2ZbPGWZ/AcJsjKb2KyC1sfFierBAOMCplZcVhCflZ71Hq2bSVvCYNxT9Q4wA1llBtrRr+nRL7XOaUMpaSfqSaMdJ320XF11pGDzACp+gFSAlaymhsHXEtQU0gKWUl4CajrvU4dasp24VasX1f4xdSHysJVa+YUJMl1wOpouv6JHT7CDFmhDCXtvGrKFxyHx8HMtR2k+/ZyjBd39QowmaqcQAWAuMxHkmhBxgBYXOKK922z7skthS9OeYicZdIsh1buSbZWYlG8g6RD/1M7XHKcU6z4774Sh5930HgyqQkBj5sXkJPjn42d4sk9ZKclxAo6g4Rd33aJrou451Xl6OL5Ly7zJGUXkXkFjY+jCqLK9PX/GXFYQn5We9R6lHaSuYJReWOlDiQ9lHANFkmGVxbq4Z/p8Q+7pxS5ebpwG3LRZYERa9dX/G1ltEDjIDgJNu+2vaZZNhi61yLQiLJkmzHVq5JdlbiVGQykmyPU44TDDjB2AbfY+aasFOuSegtoSdHP5tkS1IvyXkJgaISLO76jP/Wj5C4zZGUXkXkFjY+LE9WaB8hkZKZJZ/alo0+cbwrMmeg+AfqGOfFEq6tVcO/U2Ifd06pcvN04LblIkuCoteur/hay+gBRkBwkm1fbftMMmyxda5FIZFkSbZjK9ckuzI4Z+lUxFq1HWtOMOAEYxt8j5ltwm4zFi56S+jJ0c8m2ZLUS3JeQqCoBIu7PpMblLTyrjpx62bpLqlHniyffXSp5+pnbHxYniw9wODVo7SVjHlF5Y5Z/oE6xnmxhGtr1fDvlNjHnVOq3DwduG25yJKg6LXrK77WMnqAERCcZNtX2z6TDFtsnWtRSCRZku3YyjXJrgzOWToVsVZtx5oTDEwbIKl++R4z24Sdk2xI6C2hJ0c/m2RLUi/JeQmBohIs7vo02W9eey7jzdn85OkiOe8ucySlVxG5hY0Py5MV0gFGli4S8rl+yqaPcbwrMmeg+AeqbeTFEq6tVcO/U2Ifd06pcvN04LblIkuCoteur/hay+gBRkBkORHfC9HGaSVf+zZkn21IQE2yXOX7SmJMsimJTF45KbhJaN7rrP6mbYAkqUx6pOVW/k8tz7kmsRYl9OToJ7GJyyIvsZKclxDgbNZNZVzLUjYoVN0k1jLnehEbGx+xWmLjQZVNrUtZI1xCOMBI6iKNrZ+SXj9F5I5JpH9G1fTepnCAwbnu078VSZH7Hm57oecOUugBRkAUmWyb2qYELT3AGI1EkiXZjq1ck+ysjXalTkWsVduxzvuf0oZUv3yPme1G2WYsJBJZFz05+uXNvaRd2m4M8uSGBMem8uraluWOs018o0DdrFB08ZHgS+QTtnWLyC1sfBhVFlemj/mr9ScwTDGvqNyREgc4NpxWx1Zekf6dEvs4+tjEVEk/Us0YWfTa9RVfaxk9wAicohcgJWgpo7F1xOMJ2wAo0R6nHEc33x8h8SHbhVqxfV/jF1IfKwlVr5hQkyXbu9Yu/QhtDGJCt48QY4bvJ/AoSBw8+cQl96nc9PsmLT/hzm9ejhPa3BRJEeuTcmg4HhmP8UgKPcAICMopse+2fd4lsaXozTEXibtEku3YyjXJpt5tqnYQyyrHOc3m3E2wwfeYcWW6jIVEcHXRk6Ofzd0iSb0k5yUEirpDxF2ftomuy3jn1eXoIjnvLnMkpVcRuYWND6PKcomJrvjOA239lMuYFpkzcOIAx4bT6tjKK9K/U2IfRx+bmCrpR6oZI4teu77iay2jBxgBwUm2fbXtM8mwxda5FoVEkiXZjq1ck2xqslbEWrUda04wiN/TL/H0a/MSenL0s0m2JPWSnJcQKCrB4q5Pk/3mtecy3pzNT54ukvPuMkdSehWRW9j4sDxZIXwHBkUXCflcP+Xiy4rMGSj+gWobebGEa2vV8O+U2MfRxyamSvqRasbIoteur/hay+gBRkBwkm1fbftMMmyxda5FIZFkSbZjKzdPdl4wKmKt2o41JxiYNkBS/fI9Zi7JJfWahN4SenL0s0m2aHrVkfSSnJcQKCrB4q5Pk/3mtecy3pzNT54ukvPuMkdSehWRW9j4sDxZeoDBq0dtp8icgeIfqLaRF0u4tlYN/06JfRx9bGKqpB+pZowseu36iq+1jB5gBAQn2fbVts8kwxZb51oUEkmWZDu2ctNk5419kclIsj1OOU4wMG2ApPrle8xckkvqNQm9JfTk6GeTbEnqJTkvIVBUgsVdnyb7zWvPZbw5m588XSTn3WWOpPQqIrew8WF5svQAg1eP0k6yblG5Y5Z/oMaBvFjCtbVq+HdK7OPoYxNTJf1INWNk0WvXV3ytZfQAIyCynIjvhWjjtJKvfRuyzzYkoCZZrvJ9JTFpsjl9KmJubBKmrNdZAVZ/RtVv8iWhJ0c/iU2cbVs27Ybs6wDeZt1UxrUsZYNC1U1iLXOuF7Gx8RGrJTYeVNnUupQ1wiWEA4ykLtLY+inbNWCqW0TumER/RnXs+1x9XPyeD/9WJEXue7jthZ47SKEHGIFT9EL0leCNZ1yCeS2RtzaKDMhSBxm+6nLkSsp2oVZs39f4hdTHSkLVK6YaiTgFW32K3NwXRej2EWLMCGEuk4dxIehUiY0+leNbVH9cDpKzZFS+Dm1uiqQIm/FxSFkLjMd4JIUeYASEzSmudNuUTYyPuzpZ2J4OF4XEXSLJdmzlpsmm3jkpao5sxzrv/7S6+hESvzYvoSdHv7y5l7RLjq4cuSHBsam8urZls8Y5pI+QZNWR1CNPVtF9pNZz9TM2PixPVghPYPjOA239lO2YAqPHtajcMcs/jJQZ+11GabLy5FLnrBr+nRL7bHwYJ6ZK+pFqxsii166v+FrL6AFGQHCSbV9t+0wybLF1rkUhkWRJtmMrN0123thX6lTEWrUda5tgQAnGNvgeM9vkkpNsSOgtoSdHP5tkS1IvyXkJgaISLO76pJR31clGR+77EvPuMkdSehWRW9j4MKosrkyf8yeNrZ+yHdNk3RD6R7WNPBm28or075TYx9HHJqZK+pFqxsii166v+FrL6AFGQHCSbV9t+0wybLF1rkUhkWRJtmMrN0123tgXmYwk2+OUowaDyte+nsColOdjzFwTdso1Cb0l9OToZ5NsSeolOS8hUFSCxV2f8d+hPIFB2RBJ6ZEny1cfXeu5+hkbH5YnK6QnMCrXsu9Y4TJfeeWBkJ/AyNYlL5Zwba0a/p0S+zj62MRU1367xFRJil67vuJrLaMHGAHBSbZ9te0zybDF1rkWhUSSJdmOrdw02XljnxXAfWA71tRgkJZopV2zJTmePsbMNrnkJBsSekvoydHPJtnikKeX5LyEQFEJFnd9pm36ktdcdbLRkfu+pL+RyCds6xaRW9j4sDxZeoDBq0dpB9ADjCzdfEOJfRx9bGKqTb9N+lUzRha9dn3F11pGDzACIsuJ+F6Its6k8rVvQ/bZhgTUJMtVvvQYuKy7tADuE5uEKet1Vrla/RWSSvmu5XwmXy5JcNZ7JtkSmzjbtmzaDdnXAfyNeVoZ17KUDQpVN4m1zLlWxMbGR6zm1rWZa25dyhrhEsIBRlIXaWz9lO0aAKpzgJGG9K+QbMoHGJzrPv1bkRS9dl386HhFDzACoohkO69tStDSA4zRSCRZku3Yyk2TnTf2Lhs0G2zHmppcZB1gSAdcHwmci61wkg3JjRB3Q09Zc5SyWXPPgaqXRH9DgpuwZ9W1LZs1zvoEhtscSenlknhLxFZbuwvhACNtLUv6A1s/ZTumAN8uXaD4B6ptUGMJV16R/p0S+zj62MRUm36b9KtmjPTdtkvOFXruIIUeYARO0QuQErSU0UhsFGuBvLVRpNO0SZw49VzrUmVKynalVmyfs0l0lRsCoeoVE2qy5HogVXRdn4RsH0WNWS0eHPo+wHDF9SCsGnPvehCXVrfIvoRIkZt5X/E/ZKoRy2oBPcAICJtTXOm2bU7dq+28qo3EXSLJdmzlpsmmBo6i5sh2rPP+T9YDNo0nMGzmN+t9DlwZWWuNop/N3SJJvST6GxJUm6LUtS2bNc76BIbbHEnplVePEn9cYqut3YX0BIav+Grrp2zHFBif34GRJacIO6dCiX0cfWxiqk2/TfpVM0b6btMlVww9d5BCDzACIl5sdXUyCYdN2zZBq6ggVDkuISGRZEm2Yys3bXzzAlulTkWsVduxpiYXlGTaBZegZCPftbxPm7dNgikJDCfBTF7nEkV1JL0k+hsS3IQ9q65tWco419WNveaqk42O3Pcl/Y1EPmFb12ZjyG2Tu0Y4srgyfc6flFyKfElbMckvKnekxAHqOp0wIb2Orbwi/XtW7Iv9JEcfm5hq0++0sbeVJYUvmzTJ9xVfaxk9wAiIPAdZRNs2QauoIJR0XqEgkWRJtmMrN21885x0kclIsj1OOWpyUflan8Dwa/OuGwuufjbJlqReEv0NCW7CnlXXtmzWOMf2O2HC2GuuOtnoyH1f0t9I5BO2dakbubQyErHV1u5CegJjPH4HRhE5A8U/UONAXn7OtbVq+Pes2Bf7SY4+NjHVpt+VY+8qSwpuruUq31d8rWX0ACMg8hxkEW3bBK2igpAeYLjVz5OrBxjpiVbaNVtcgpKNfNfyPm3eNgmmJNuUstTEVUovif6GBDdhz6prW5ayQdEDDJl8wrYudSOXVkYittranR5g8OpR2gHCPcCgrlM9wDDLo8RUm35Xjj2l3SLg5lqu8n3F11pGDzACIs1BJq/5btumbFFBKNQDjBhqkuUqX3oMXNZdWgD3iU3ClPU6q1wt/owqN6jarlmJteiSBGe9Z5LtK+mhbgIk+hsS3I15WhnXspQNCvcAwwYbuUVsbHzEam5dm7nm1qWsES4hHGAkdZHG1k/ZrgEg5J9RHftRwDTS/MmmfoDBue7Sb9MTGNWgyAOMytcSed14QQ8wAiJedPodGOny9Tsw3OrnyXX5Dgyf+qW1xx1ranKRdYAhvaHwkcBxgyp1fn1uhLgbesqao5TNmnsOVL0k+hsS3IQ9q65t2axx1icw3OZISi/qRi6tjERstbW7EA4wkrpIyU3K4vop2zEFav9nVPPyc668Iv17Vuyrhe/ASOpYzRjJzbVc5fuKr7WMHmAECDXh8gElaFWL5OlrKNgmdKGRN755a6NIp2mTOHHqudalypSU7UrItl8JZ5PoKjcEQtUrJtRkKdaHGzdc+hHaGMSEbB9FjVktHhz6PsBwxfUgrBpz73oQZ7rRE9K82OCSX/u2GdMBRvL6eMW2f+N9XALdEm6aUE94fbZtc+pepPMK0SAl7hJJtmMr1/VXSLLKSWE71nn/J+sB+gRG5Xs+bJ4rI2utUfSzuVskqZdEf0OCalOUurZls8Y5tl/9FRKZfMJ140cZB1s/w10jFFkhPYHhK766+inumALj8zswsuQUYedUsmJfLTyBod+BIR9faxk9wAiILAfpeyFS2vG5mckibVxCQiLJkmzHVq5+iSctmXbBJSjZyHct79PmbTcWlGSbk2Amr9uSp5dEf0OCm7Bn1bUtSxlnPcCQySds61I3cmllJGKrq91xZfqcPym5FPk285XXTlJ+UbkjJQ5Q+61f4mmWR4mpNv2uHHtKu0XgyyZN8n3F11pGDzACIs9BFtG2TYJXVBDSAwy3+nly9QBj9Gt9AsOvzbtuLLj62SRbknpJ9DckuAl7Vl3bslnjrN+B4TZHUnpRN3JpZSRiq63dhfQERkjfgWGzcUuLq0XkDBT/QLWNvPyca2PV8O9ZsU8PMHjY2IGLfF/xtZbRA4yAyHOQRbRtk+AVFYT0AMOtfp5cPcBIT7TSrtniEpRs5LuW92nzthsLSrJNKUtJtiT1kuhvSFBtKquuTTt515IbFD3AkMknbOtSN4ZpZSRiq63d6QFGdh2OLmlxtYicgeIfqLaRl59nyfG9TqhkxT49wOBhYwcu8m3ia6i5gxR6gBEQaQ4yec132zZliwpCoR5gxFCTLFf50mPgsu7SArhPbBKmrNdZ5fRnVP1usmw3FnnvmWT7SnqomwCJ/oYEd2NuKiMx/1kbFP0ZVVnZ3Lo2iTe3LuVAgUsIBxhJXaSx8VM2/ar2AUYaphsUebpwf0bVJHM8HWBwrrv0W39GVSavGy/oAUZAxItOv8QzXb5+iadb/Ty5+jOq2QcY0hsKHwmcywEGJ9mQ3AhxN7CUNUcpmzX3HKh6SfQ3JKg2lVU3r7zLJkCfwHCbIym9OBtiWz9DGX+u3YVwgJHURUpuUhbHT9ls3LLiKkcOl6z+JceU2m/uz6iaZFbDv2fFvlr4Ek/9GVVefA01d5BCDzACRH9GNR39GVW/6M+oytWlypSU7UrItl8JZ5PoKjcEQtUrJtRkKdZHf0Y1bPsoasxq8eDQ9wGGK64HYdWYe9eDOP0Z1bH4thnTAUby+njFtn/jfVwC3RJumlBPeH22TdnE2N4lsSUrcISAxF0iyXZs5erPqGbfKZLeBPg49OHOg+1dIgm9uTKy1hpFP5u7RTS96kh6SfQ3JKg2lVU3rzx3fabZr/4KiUw+4brxo4yDrZ+hjD/X7kJ6AsNXfLXxUza6pNmlj/hnajdNZ9OhUF6/uT+japJZDf+eFftq4QkM/Q4MXnwNNXeQQg8wAiLLQfpeiJR2fG5mskgbl5CQSLIk27GVWwtf4pmlS9p16v9pcinBmItLULKR71rep83bbiwoyTY3weToYauXRH9DgmpTWXXzynPXZ1p5PcCQySds6+bVo/hcl9jqandcmT7nT0ouRb7NfOW1k5RfVO5I8c3UfuuXeJrlUWKqTb8rx57SbhH4skmTfJv4GmruIIUeYAREnoMsom2bBK+oIKQHGG718+SGfoDBCRh5iTsl4OoTGH5t3nVjwdXPJtly1SuvHFduSFBtKqtuXnnumKbZb619Bwb1OgWXOcqTJVUva44lYqut3YX0BMZ4/A6MInOGNJ3HfgfG2Cfp0mTpAYZZHiWm2vS7cuwp7RaBjR24yLeJr6HmDlLoAUZApDnI5DXfbduULSoIhXqAEeM7IfU1zi7rLi2A+0JijSZfZ5XTXyHJT+Zc9LfdWOS9Z5LtK+nJS1ht2w3Z1wH2G/Nkmazy3E1Amv3W0q+QSCfFPmI1t65N4s2tSzlQ4BLCAUZSF2koftJUx6YdIMxfIeHoor9CMlYe57pLv/VXSGTyuvGCHmAERLzoavU7MHyRNi4hIZFkSbZjKzf0XyHhBAyT/eTZVdYBhvSGwkcCxw2qtkmW5EaIu6GnrDlKWWk/ZhpLW19ejQSXA9WmsurmleeuzzT7raUnMKSTYpc5ypMlVS+rzxKx1dbuQjjASOoiJTcpixPHbdZoVlzlyOGS1T/9FZLR79fCd2Dor5Dw4muouYMUDT6Fv/DCC5g/fz5uuOEG/OUvf8HFF1+M+vp6NDU14YorrsDMmTNxySWX4Nlnn0VraysA4Nprr0V/fz/OPvts9Pb2YtasWbjsssswceJEn6oGQbzYavUjJPHflZ85ltQt1CcwJJIsyXZs5epHSGjJtAsuQclGvmv5vHFy0dt2Y0FJtillpeY3L2G19eWhJyFUm8qqm1eeuz7TyusBhkw+YVs3rx7F57rEVle748qUtNtYxng6wKhGzpDXP4ou8fumAwyKL8rTzTdZsa8WPkKiBxi8+Bpq7iCFtycwFi5ciAsuuAAbN24EAFx66aW48MILccMNN+Dggw/GwoULAQAvvfQSfvKTn+CGG27ADTfcgPb2dlx77bU49NBD8Ytf/AI77LADbrnlFl9qBon+jGo6+jOqftGfUR2N7ycwpGW7ErLtV8LZJLrKDYFQ9YoJNVlKewKDgks/QhuDmJDto6gx48YM3x8hpOD7AMMVG13SPkLim7TNJnd+Kw9E0/KKkObFhlr4GVXTIUutj30etv0b7+PibUu45ZZb4pprrhl+/b3vfQ/bb789AGBwcBDNzc0YGhrCm2++iYsuugjHHHMMbr31VgDAM888g3333RcAsN9+++Gxxx7zpWZQ5J3wFtE2ZROT5Tx8nkTqR0jc6ufJDf1nVDltmOyHc8dAP0KSP04Smz3uxiJNZ4p+NneLXPWitMuRGxJUm8qqm1eeuz7T7LeWfoVE2o+6zFGeLKl6WX2WiK22dpe1wZVsj6KLr/jK8alp7XPHFAj5SzyzdYnf159RNcujxFSbfleOPaXdIvCd87rkiqHnDlJ4+wjJIYccgrfffnv49axZswAAzz77LG688UbcdNNN6OnpwQknnICTTjoJg4ODOPHEE7HTTjth/fr1aG9vBwC0trZi3bp1ue0NDAygVCr56YxnYr1Xr54IYCqiaAAbNw6hVOrExo0zADShq2stSqVubzoMDs4CUI9Vq1ahVNqYWmbDhmkAWrBu3XqUSiNzsmJFI4CZAIAlS0qor5fVLZYfRQMYGpqAUmmZbAOOrFvXBqAdvb29KJVWG8utWtUCYNq7a3UFu52enqkAJmL9+m6USmut9U2ydm1Z/ygaQE9PP0qlNcPXli6dAGA2AGDZsuVobBwcVbe3dzqAZqxduw5DQ60AJqCzsxOlUt+ochK22dcHAB0AgBUrVqJU6jeWHRjYDEADVq9eg1JpA1aubAIwA1EUoVRaivXr2wG0YcOGDaP6u3z5SH+7utYCmDx8bePGjSiVVjn1YcWK0eO5Zk0TgKno7+9HqbTSSTYAdHaOlt/WNphTvg7AnOHy7e2jy1Ns3nZuu7unAJiE7u4elEpd5PI9PSPlo2gOgDqsXDl6za1bV57fSpsc8XGrUSr1orOzGcD04Tp9fX0olTrZ/Yiisoy1a9ehVFoPYKxPbGwEursnA2gdpX92f+Pyo9doKAwMjB7P2MaGhoZyffTy5Q0ANgNQHp9Jk9LLbdgAxDa/fPkKlEoDo64nfWJv70j52H6HhgYQpzpZNpz0ERxiH5omf9myEZusJM3m+/tH9M/zcRR6ekbb2NDQbJR9tDnOm1gtSsuQAAAgAElEQVS5shM24xPnNf396XEvy2dRfURXVyuAydi4cawNRxFvPOPylf5/yZLSqIOwrLws7q9tnK8k9lmVuixdugxDQo+HJH0ikK//+vUjMSPNJtNYtqweQHkPEPdlYGAA3d0b4dPHrV8/1ofGMSM5v1HUBgDo7U33EbHPGhoaQBTVv5tHjMjv62sA0Ig1a7pQKvWM8nGl0lJMmjR6N9nXN3NU+SIw+bje3mmIogYADejqoutjyrNi0nycjQ+K86bYl5dKS7FhQzQc5zdsyM69fVC5pkulpdi4Ufa0oFL+0qXL0NU1ESYfl8Rkw7W6Rzbh9Tswktx7771YsGABrrvuOkyfPn340CL+fou99toLL7/8Mtra2tDd3Y2WlhZ0d3dj8uTJOZKBhoYGdHR0+O6COKVSaVjvKVPK7zU2NqCxEejo6EBjY/m99vbJ6OjIHwdb4uA8dep0mIaxubn8f2trGzo62obfnzHirzBnTgcahFfV3/5W/r+xsSw4tHl+9+tb0NTUkqnb1Knl/ydMsFurLS3l/ydNakVHRyu7vom2d6eysbEBLS0N6OgY+b6ZgYrcZLPNZo1ZG01NsYz24femTZsxqlzlGndhY0WsmzFjpnGdAiMn9VOmTEVHx1RMf3efGkV16OjoGN4wNTdPHNXfStraRttbY2Ozcz8qk+DNNpuF2LXV1zeKjFHl4WHafCWptNW08lSbt/nem/hrjSZOnISODsMONqV8S8tI+fgOw/Tpo9dcmk2O+Lhp6OgApk0bLb+hoclqDqKovDDb2trR0VG2g9hnAeXxaWpK1z+LkfLmNVpNYhuLx3P68FnQhNxxrMyj5szpGJ6vJD0VefTMmZuNWZ9Jn1g+8CgT228cN8p/m2046SM4jPjQsfJNd8HSbL6v4tw3z8dRiMcnaWPTppnjfBqlUgnTp5eNnjs+cV5TX58e97J8FtVHvHu/C42NZhvmjmel/58zp2PUI/ZZeVncX9s4X0nssyp1mTVrtvO6SMqPbRjI139txb2TNJtMo3ywWCbuy4QJDZg4sWybvnxcHOcr5cf2mJzfKCof0Dc1pfuI2Gc1NTUgijAqj2hpmTgcSydPnoKOjilYWnHGN3v2nGEfEZMsXwQmH9fUVLmm6fqY8qyYrLyG44PiddrUVB602bPnYPr0kTjf3Jyde/tgTcV52+zZczBzpqz8SjubNWs2ycfFpNmwVB5eDdasST/cLOxbBe644w7ceOONuOGGG/De974XAPDGG2/guOOOw+DgIPr7+/Hss89ixx13xG677Ybf/e53AIBHHnkEu+++e1FqVpW0R9SS13y3bVO2qEepQv0SzxjqY66u8qXHIJaX9xGSPJ1qZY1Wvs4qpz+jKvsYsUmGzWPIeW1zH/F1Ie+RYdt2Q/Z1AG1tUOpmlec+hp1mv/ozqmNf++prVnkbf0Sty3mEnUrW905k6eUjTuvPqNqRJVd/RnX0+/ozqjyK/AhJ5WuJvG68UMgTGIODg7j00kvR0dGB008/HQDwoQ99CF/96ldx2GGH4fOf/zwaGxtxxBFHYJtttsGXv/xlnHfeeVi0aBGmTZuG7373u0WoWXXSNpJFOTlKO5Qkwach63dguNXPk6s/o5p9gCG9ofCRwHFt0TbJkrB52w193jo0leXMPYcoqjO2RWnXLNdNL99QbSqrbl557vpMs1/9FRKZfMKXnWf12TW2uvjDEA4wYhnj6VdIQv0Z1TxdqPl51nt5uvkmy05q4Tsw9FdIeH4s1NxBCq8HGFtssQUWLVoEAHjyySdTy5x66qk49dRTR703c+ZM/PSnP/WpWpDEi63Wf0ZVmrRxCQnXJEu6HRu5puDFCcK+1ypnneUl7jZrWTIhjf+WHjOXhJ2TbEjYPLfvlKQxS7ZNsmWjF7ddjtyQoNpUVt288tz1mVZeDzBk8omkbtSPjeW1ybVjThtS/pCjl6TdxjLG0wFGNXKGvP5RdInf159RNcujxFSbfleOPaXdIpD21XnybeJrqLmDFIH+MOWmjf6Majr6M6r+qKvLT0jz1kaRTtMmceLUA/RnVKnXioazSXSVGwKh6hUTarKkP6M6Qsj2UdSYcQ8w9GdU87HRRX9GNUz0Z1TDxbZ/431cAt0SbprknfAW0TZlE+N6l4NL2riEhOtdIul2bOTGBxjcuaXebZCA0wb1zkBWf/UjJH5tntt3zh2urDKcu0U2enHb5cgNCVO/JNYdtVxW2/ozqm5zZJLFrZ/XJteOOW24+MOQPkLiK75S/KSpDkeXtHH1Ef9M7abpPPY7MMZ+FDBNlv6MqlkeJaba9Lty7CntFoHvnNclVww9d5BCDzACIstB+l6IlHZ8bmaySBuXkHBNsqTbsZXreoBRVDJCaSMvmbBZy5IJaZ4eUvJdy/u0eW7fOQkiN8Hk6JGnF7ddjtyQMPVLYt1Ry1HWhB5gyOQTtrrltcm1Y04bUv6Qo5ek3VJ8nS/5NvOV105SflE5Q17/KLqk5aFZfbGNrT7J6lstfIREDzB4fizU3EEKPcAIiDwHWUTbNgleUYasBxhu9bPkSjyBUVQyQmkjL5mgrGV9AsOvzXP7zkkQKYkrJdnikLf5ce1vaJj6JbHuqOWy2q7Gr5Bk6Uh5XzqWusyRSRa3PnVjmFbGNba6+MOQnsAYT9+BEe4TGNm65OXnnPhkKuebrBilBxg8pH11nnyb+Bpq7iCFHmAERJqDTF7z3bZN2aIMOdQDjBhqkuUqX3oMooh2gJGnU62s0crXWeX0Z1Rlk1iTDJskOK8eJTGXGvu8hNW23ZB9HcDbmGeVocyjqVzW2OrPqNofCHDlUsra+CNqXc4GikoIBxhpukhC8ZOmOjbtAPozqml1i8LXAQbnuku/9WdUZfK68YIeYAREvOj0OzDS5et3YLjVz5Lr+gSGT/2ouqSVNSUTNgcY0hsKHwkc1xZtkywJm7fd0FMSREpiLrXZydPH1pdXI8HlYOqXxLqjlstq2+UAgzvmlA0t5X3pWOoyRyZZ3PqcDbFt0i7lp0z+n6OXpN3GMsbjExim65Jk9c/2CYzx8DOqaX/Xwndg6K+Q8PxYqLmDFHqAERDxYtOPkKTLD/UJDNckS7odG7mbys+oxn/brGXJhDRPDyn5ruV92jy375SkMUu2TbJloxe3XY7ckDD1S2LdUctR1oQeYMjkE7a65bXJtWNOG1L+kKOXpN3GMsbTAUY1cgaKrVH7nfadOmn1bWOrT7LWdy18hEQPMHh+LNTcQQo9wAgQ/RnVdPRnVP2xqfyMKqeu/owq7VrRuMwpV24IhKpXTKjJku3PqALuh1mhEbJ9FDVm3AMM/RnVfGx0qebPqLrMb/JA1LTBrFX0Z1TDZbzFIykC3RJumlSeMhZ9wkhpR+ouB5e0cQkJ17tE0u3YyN2UfkY167AlK8GR3gT4OPThzoPtXSKJ+eb2nXOHK6sM526RjV7cdjlyQ8IlRlHXD3d9ptkv91dI8spl1eUcruWVlfQ3EvmErW55bXLtmNOGiz8M6SMkvuIrxU+a6nB0SRtXH/HP1G6Wf6DqEr9fuYmm+nnf64RKVoyqhY+Q6Jd48vxYqLmDFHqAERCVRlq0gVLa8bmZySJtXELCNcmSbsdWrh5g0JJpF1yCko181/I+bZ7bd06CSEnMpeY3Tx9bXx56EsJN2NPq5pXlrs+08nqAIZNP2OpG3RimlXGNrVL+kKOXpN36jq8UP2mqw9HFJN+3j6P6KIoulXloWh2uP6yGf8/qfy18hEQPMHh+LNTcQQo9wAiISiMt2kAp7fjczGSRNi4h4ZpkSbdjI1efwBj7Wp/A8Gvz3L5zEkRKYk5Jtmh61WXqY+vLQ09CuAl7Wt28stz1mWa/+h0YMvmErW7UjWFaGdfY6uIPQ3oCYzx9B8b/Z+/Loyyrqrt/VdVVPdTQ3fRAF6LYgBDACUTQ2AbWl/70M19WVNSAQyaHrOWKuNRgMGoUEwOsRPPhMisOiflEQREIEgYTBWQIyIcIAZQgILaC6dcTTQ/Vc1W974/HrXfefWfY+wz3nnpv/9aqVfe9u8/e+wx7n332PfedXHdg6K51vCSB0c2DM6f61FvX9r68YiF1zBsSK+YeO8SCJDAygmqksYJrrmwf2qoMOdcERgFO0B7CP3YbNJvhx6hW8b5wrDGqfrbRyTGqcYNYEw+fINhVjhKYx2p7V8DqKzdnXwfQkwGu+1Q+lGBYZ79yjGr351hzEYfWxx9Ry3IWUFTkkMDQ6RIToQkMrhxAjlHVla0KqRIYnPsh9ZZjVOPEdb0CSWBkhGLQyW9g6Pm7fmSyLoQGWbHl+PAN3YFRxY+MccaZK5jwSWDEXlCkCOBCEhicYCOGzfsu6CkBIiUwj7XYcenj68vrCHA54AbsurIuWu741Nmv7MCIE0/46sZZEPsG7bH8lMn/c/SKabep51eKnzSV4ehim1c5fLig+Ifie2q91d+KoLZf6nFChW2Omg+/gSGnkPD8WK6xQyxIAiMjFINNXiHR8/fJEFeB0CArthwfvjGOUbXRxYDPAsmkn89YjhmQuvSIxT+UPqXNc+vu6lMXb59gy0cvrlwO35zA6Q9TWRctd3zq6CWBEWes++pGXRjqaELn1lj+kKNXTLstePRSAkPln9rHUX1US5fuVwF1vEwJDK4/rMO/2+pf1SsklHsmWklg8PxYrrFDLEgCI0PIMap6yDGq6RB6jGrVx7z5BE7csnKMKu1e1QjpUy7fHJCrXgVyDZbkGNU2craPqtqMm8CQY1Td8NFFjlHNEyE7nKtKRMkxqtWUmy/IdEnYn1CzjFVnGClyYj3l4MKUfc0FoU+JYsvx4SuvkHR/lldI0to8t+6cJ1w2Gp+nRRz9uHJd/HLzdwU4/WEq66Lljk+d/copJN0LLB/evuVd45hrxxwZIf4wp1dIUsVYFD9pKsPRRdeuKeY/k1ybf6DqUnwvx6h286DOqaE+RH7Ek+fHco0dYkESGBlBNdKqDZQiJ+VixgaT88oFoUFWbDm+fOUUElowHYKQScmHfyh9Spvn1p0TIFIC81j969LH15fnHoRwA3ZdWRctd3zq6CWBYV5s+fDilqcuDHU0oXNrLH/I0Sum3aaeXyl+0lSGo4uJf2ofR/VRFF10caitLr5za0rY6i8JDB5S2aSJP6euuccOsSAJjIygGmms4Jor24e2KkPONYFRgBO0h/CPXf9i8pJTSDo/yykkcYNYEw+fINhVjhKYx2p7SnDsIzdXP1eA0v6U+1Q+lEWAzn7lFJL4vEMWORy+1LLUBRQHOezA0OkSExQ/aSrjIweQU0h0ZauCK4GhiwGp/Cj3Q32QnEISJ67rFUgCIyPoEhhVOTmKHEqQ0I8JjNAgK7YcH77yCkn3Z3mFJK3N+y7oKQEiJTCPtdhx6ePry+sIcDngBuy6si5a7vjU2a/8iGenr/Hl7VuesyD2Ddpj+SmT/+foFdNuU8+vFD9pKsPRRdeuKeY/k1ybf6DqootDdfZF9Yd1+HfbHBWSwKDOqaE+RHZg8PxYrrFDLEgCIyMUg01+A0PPX34DI6y8ja8kMLo/SwIjrc1z684JECmBuSvYosKlj68vzz0I4QbsurIuWu741NmvJDA6fY0v79DFB6UdKHbMkRHiDyWBYS/D0cU2r3L4cEHxD8X31Hr38jGquScw5BQSnh/LNXaIBUlgZIRisNWxA6Osg+1eisUMRSfZgRFW3sZXjlF1y4gZkLr0iMU/lD6lzXPr7upTF29usEWFSx9fX557EMLpD1NZFy13fOroJYHR6Wt8eYcuPijtQLFjjoxY/pCjV0y7LXj0UgJDNyZTxwxUH23Tpfi+V49RBSSBwUFsX+3iz6lr7rFDLEgCI0PIMap6yDGq6SDHqHZDjlGl3asaIX3K5ZsDctWrQK7Bkhyj2kbO9lFVm3ETGHKMqhs+usgxqnmCEgOaUFUiSo5RrabcfEGmS8L+hC4LWkVwSM0kxnrKwYUp+5oLQp8SxZbjw1deIen+LK+QpLV5bt05T7hsvKlPi6hoNges+vj68lwTAwU4/WEq66Lljk+d/copJN0LLB/evuVd49jXjil0If4wh1dIdPJT8LX5qxi66No1xfxnkmvzD1Rdiu97+RjV3HdgyG9g8PxYrrFDLEgCIyOoRlqlgXKDyRSLGRtMzisXhAZZseX48pVjVGnBdAhCJiUf/qH0KW2eW3dOgEihjdW/Ln18fXnuQQg3YNeVddFyx6eOXhIY5sWWDy9ueerCUEcTOrfG8occvWLZLVWXGDIo/jFEFxP/1D6O6qMouujiUFtdfOfWlLDVX45R5SGVTZr4c+qae+wQC5LAyAiqkcYKrjlyfemrMuRcExgFOEF7CP/Y9S8mLzlGtfOzHKMaN4g18fAJgl3lKMFkrLanBMc+cnP1cwUo7U+5T+VDWQTo7FeOUY3PO2SRw+FLLUtdQHGQ0w6MKuai8jVn3HL4yzGqZrrUcCUw5BhVOqpMYKifY8R1vQJJYGSEYtDJKyR6/vIKSVh5G195haT7s7xCktbmfRf0lACRQhtzsWPTx9eX1xHgcsAN2HVlXbTc8amzX/kRz05f48vbtzxnQewbtMfyUyb/z9Erlt1SdYnBn+IfXeWosvI9haT7VUAdLzmFpJsHdU4N9SHyI548P5Zr7BALksDICMVgk1dI9Pxz3YERGmTFluPDV04hccuIuaBw6RGLfyh9Spvn1t3Vp1zaWP3r0sfXl+cehHD6w1TWRcsdnzp6SWB0+hpf3qGLD0o7uOyYKyOWP+ToFctu1fK9lMDQjcnUMQPFR1PrLaeQdJejzqmhPkQSGDw/lmvsEAuSwMgIasBVpYFyg8kUixkbyoFobkYZGmTFluPDV3ZgdH+WHRhpbZ5bd06ASKF1BVtUUIJjm1wO35zADdh1ZV203PGps19JYHT6Gl/eoYsPSju47JgrI8Qfyg4MXjmqrF78EU9ded+5NSVsfT4fdmDIb2Dw/FiusUMsSAIjQ8gxqnrIMarpIMeodkOOUaXdqxohfcrlmwNy1atArsGSHKPaRs72UVWbhSQw6kDqBEYM+Ogix6jmCTlGNV/02nwUC5kuCfsTxWCT38DQ85ffwAgrb+MrOzC6P8sOjLQ2z6075wkXhTZWEOTSx9eX55oYKIPSH6YyLlru+NTZr5xC0r3A8uHtW941jjl2zJUR4g9z2oGRIsai+itqOaqsXtyB4ZKVcpxwYOtz2YHBQwqbtPHn1HW+xA6hkARGRlCNtEoD5QaTKRYzNpicVy4IDbJiy/HlK8eo0oLpEIRMSj78Q+lT2jy37pwAkUIbq39d+vj68pyDEFd7Uu3TRcsdnzp6SWCYF1s+vLjlqQtDHU3o3BrLH3L0imW3VF1S8ffpL46sFPOfSS7FR1Pr3cuvkHD1cc1tseIGXdvb5FaBFDZp48+pa86xQ0xIAiMjqAFXrOCaI9eXvipDzjWBUYATtIfwj13/YvKSY1Q7P8sxqnGDWBMPnyDYVY4STMZeCFAXBL71zQmhvo46friLAJ39yjGq8XmHLHI4fKllqQsoDuregWHSJRao/spWzkeWHKNqpksNVwJDjlGlo8oEhvo5RlzXK5AERkbQJTCqcHLcYLKuBEavvEKSWo4PX3mFpPuzvEKS1uZ9F/SUAJFCG2ux49LH15fXEeBS4WpPji+kLv4p41Nnv/Ijnp2+xpe3b3nOgtg3aI/lp0z+n6NXLLul6hKDP8U/uspRZeV6jKpLF10cSp1fUo4TDmx9Ph9eIZFTSHh+LMfYISYkgZERCidSXOv+p5KruzbRpVjM2FDwzHUHBjfIotCGyPHhK8eoumXEXFC49IjFP5Q+pc1z6+7qUy5trP516ePry3MOQnwCdld5HzpKP0sCo9PX+PIOXXxQ2sFlx1wZsfwhR69YdquW76UEBkdWKKhzBmUuLr6XY1S7y1Hn1FAfIgkMnh/LMXaICUlgZIbyLwFXPQCpAV4d6JVTSHzLpIScQtINOYWEdq9qhPQpl28OyFWvArkGS3IKSRs520dVbcZNYMgpJG746FJHXXQ+Sk4h6YScQpIvem0+ioVMl4T9iWazextXFcEhNZMY6ykHFy7nVTe4T4kotCFyfPj22iskZTpqNtsW4MReBHCz6j78Q+lT2jy37pwnXBTaWEFQszlg1cfXl+eaGADc7RnLF3LHp85+ZQdG9wIrZP7hlneNY44dc2WE+MN+f4WEW45aRq2L+nsYKUDxD8X31HHayz/imfsODPkRT54fyzF2iAlJYGQEnROpYiByg8kUixkbCp699BsYIQFk7PrbJi/qJJxTAoOyuKKMZUlgpLV5bt05ASKF1hVsUeHSx9eX5xyEUGyMW96HjrJAkVNIOn2NL+/QxQelHVx2zJUR4g9zSmCkiLEo/GONUVO79koCwyUr5TjhwNbPPgmMMi/XnBrqQySBwfNjOcYOMSEJjIxQDDZJYOj5yw4M/7IUvr1yjCplceUzlmMuKFx6xOIfSp/S5rl15wSIFNrY/etaBITWNydQbIxb3oeO0s+SwDAvtnx4cctTF4Y6Gu7cGuqnXDZM0SuW3VJ1Sck/1hg1lakzgdE9F3fvpNPx6uUdGBx9fObUUB8iCQyeH8sxdogJSWBkhMKJyDGqev65JjAKcIL2EP6x6x8y7or7OR2jSllEUCZcOUbVb9FBBXc8c8YmJZiMvRBwLQJC65sTQn0ddfxwFwE6+5VjVOPz9ll8+PgjalnqAoqD0B0YMVHHMarla9t3HFl17MDQQY5R7bzm7sAIsWdq+TLkGNU4cV2vQBIYGUHnRKpwctxgsq4EhrxC4l/WxVdeIen+LK+QpLV53wU9JUCk0MZa7Lj08fXldQS4VFBsjFveh87WtvIbGPoFli9v3/KuccyxY66MEH8YI4ER0odUXWLwp1xT77tk6eqSOmaw+Yfie+o4lWNUzbxcc2qoD5FTSPh+rJchCYyMUDiR4lr3P5Vc3bWJLsVixoaCZ647MLhBFoU2RI4P3146RpUSTPiM5ZgLCpcesfiH0qe0eW7dbT7RtcDwCbaocOnj68vrDM5c8AnYXeV96Cj9LAmMTl/jyzt08UFpB5cdc2XE8occvWL1oVq2lxIYFF8cC9Q5gzIXF9/LMarm8q45NdSHSAIjTlzXK5AERmaQY1TNkGNU00GOUe2GHKNKu1c1QvqUyzcH5KpXgVwTLXKMahs520dVbcYN/OUYVTd8dNG9QpIaOh8lx6h2Qo5RzRexEqG9hkyXhP2JZlNeIbHJlR0Y/mVdfOUVku7P8gpJWpvn1p3zhItCGysIcunj68tzTQwANBvjlvehs7WtvELSqVes+Ydb3jWOOXbMlRHiD+UVknj1M9WlV04h0ZX3nVtTwtbP8+EVEvkRzzhxXa9AEhgZQedEqjBQbjCZYjFjQ8FTfgPDv6yLryQwuj9LAiOtzXPrzgkQKbSuYIsKlz6+vrzO4MwFio1xy/vQURYocgpJp6/x5R26+PDhy51bQ/2Uyf9z9IrVhy5/EgoK/1j1M7VrryQwXLI4c2tK2PpZEhg8pLBJG39OXVPrlgskgZERioEmp5Do+ee6A6MAJ1AL4R+7/iHjrsoJxGdiNX0XK+ANQTkAisVTd02h59yP0U6+C3qKXEowGXsh4FoEhNY3J4T6Our44S4CdPQ+CQwufPimXPy6+MWai0J0oPCl2gx1AcWBTW+bXinmkCoWSK7rEF1MPOs8hcTXNnr5FBKOPj7xRahtyCkkceK6XsECF8GPfvQjXHrppbj//vuxYMECDA0N4eSTT8bb3vY2vOxlL6tCx75B4URkB4aef64JDG6QRaENkePDV3ZgdH+ucgdGLHDHmG+QFcPmfRf0lACRQhtrsePSx9eX1xHgUkGxMW55Hzpb28orJPoFli9v3/KmhRKFL3duDfVTJv/P0StWH1J1icGfck2975LVizswdOV959aUsPWz7MDgIbavdvHn1DW1brnAmsD4q7/6K4yNjeHcc8/Fsccei8FnR8+jjz6K6667Dtdffz0uuOCCKvTsC+icSBUGyg0mUyxmbCh4yisk/mVdfCWB0f256gSGLrgP5R9Kn9LmueOZEyBSaF3BFhXN5oBVH19fXmdw5gLFxrjlfegoCxRJYOh9jS8vbnlqH+ruc+fWUD9l8v8cvWL1IVWXGPwp19T7LllyjKqZLjVs/ZwigUGVT5Ulp5DEiet6BdYExnvf+16sXLmy6/vjjz8eH/7wh7Ft27ZkivUj1AVMlQbKDSZTLGZsKHjKDgz/si6+coyqW0bMBUVZj+KzJDDo9JyFDyXYCu1f1yIgtL45wSdgd5X3oaP0c64JjNg62PjpfI0vL255ah/q7nPn1lA/5bJhil6x+lAt20sJDIovjgXqnGGLCcr0coyqubypnrr40seHSAIjTlzXK7D+Bsby5cvx1FNPAQCmp6dx1VVX4ZprrsH09DQAaJMbKh588EH83u/9HgDgl7/8Jd761rfibW97Gz75yU9i9lmP/Pd///d485vfjHPOOQcPPfSQlbYfIMeomiHHqKaDHKPajSqPUY3FPwQ566YidJHI4ZsDctWrQK6JFjlGtY2c7aOqNuMG/nWHnakTGDHgo4sco5on5BjVfBErEdprsE7t5557Lq6//noAwKc+9Sncf//9ePzxx3H++ec7Gf/jP/4jPv7xj+PAgQMAgIsuuggf+MAH8I1vfAPNZhO33HILHn74Yfzwhz/EVVddhb/7u7/Dpz71KSNtP6DIVMorJHr+sgPDv6yLr7xC0v25jldIYvMPpU9p89zxzHnCRaGNFQS59PH15bkmBgCajXHL+9DZ2jb3V0h091L5gxi+xrc8tQ9197lza2h7UpMG1P6OtfDopR0Y+f4GRvergDpe8hsYZl6c8eLjQ+Q3MOLEdb0CYwLjoYcewoYNG3DEEUfg29/+Nm699VacfvrpOO644/D444/j2slFXloAACAASURBVGuvtTJ+3vOeh89//vNznx9++GGcdtppAIDf+I3fwA9+8APcd999WLduHQYGBnDEEUdgZmYG27dv19L2A3ROpAoD5QaTqYMuk1z5DQz/si6+ksDo/iwJjLQ2zx3PnACRQmurEwcufXx9eZ3BmQsUG+OW96GjLFByPUZVdy+VP4jha0IXH6ZyHDt2yQhtT5P/5+gVqw9jLPxC+ceqn6ld80pg2HUpvpdjVM28OOPFx4dIAiNOXNcrMP4GxnOe8xyMjIzgtNNOw1133YX169fjtNNOw8zMDK644oq5BIMJr33ta/GrX/1q7nOz2cTAs5HE6Ogodu/ejampKSxbtmyOpvheR+vC9PQ0Go2Gky5HFHpPTU2g2VyMPXv2YnZ2CRqNzWg2DwcwiL1796HR2JFE/qZNgwAOBwDs3r0bjcaUlm5mZhWABdi//wAaje1z3+/YsQTAUgDA1q1b0WhMR9Vvx47FAJZhz55dACawefMWLFw4E1VGCPbvXw5gEWZmZtBobDHS7d49DmAMALBp0ybs28fzLIcOtdr/wIGDaDSe9le4hH37lmN6egj790/j0KFhNBpb5+49/fRCAIcBALZv345G40BH2ZmZ1QCGcOjQIQDDAIBdu3ah0djTQRfDNrduHQbQem1tx44daDT2ael27x4AsAYAMDU1hUZjN3bu7ByjBw5MAFj4rN/Q11etEwA0m7NoNDYH1eHpp0cArAAAbN/+DKamRgCMAmi10fCwuSwF27Z18m809pPpn3mmm356uhhzZpvfssXP5g8eXAFgBAcPHkKj4f49pYL+0KEW/ZYtCwCsAgDs3LkTjcbeOdqyTW7e3PZxu3a1fNyuXWMAxhUJTTQam9j1aPloYN++to8ufBYAbN26DY3GoS79qfWdnqbRV4nt27ttbNeuUQATAIDNm7dgdNTso595prt9dFBt/plnum3+0KGVAIbnfKJKX9jv1NSuOb1mZ802vHNnW/8tW7Zg6VL6HLNv3zIAi7U+QvUpZWzc2MDQkL6+Nh9HRdE+hw4dxObNOwCsBtC2AQ527twJH5ufmppA4eM2bmxg4cLO+2WfqPqggwdb+rt8xN69rfYv96/NR+iwdWubXvX/5frOzprjMrW+jcYmLFnit4LYsqXts1Rdtm9/Go3GQS+eKrZu1cd9U1PtOKXR2ISpqU79t23jj1HTvHrwYOua6hO5OHCg04du2TKEwgZUPbZu3YZms1VnUxxXjkO3bNmCAweWoeXTp9FsDgEYwJ49e9Fo7HT6uGZzTQd9Fej0cVuxbFlrTM/MrMa+fQcwMzOCvXsPkvSZmmrPAXv2FHNAOy4osHFjAwueXWlu3txuf44PKnxE0fZPP92ygf37DwOwEDMznXFcFdi+fRGA5QCAbdvi2KSJ/9NPP429e5eg5ePccUqnD2pgyRLMXfcSjAmMFStW4IwzzsAf/uEfYmZmBl//+tcxPj6Ot7/97Xj961+PI444giVoUNnHuWfPHkxMTGBsbAx79uzp+H58fFxL66zIggWYnJxk6ZQDGo3GnN5LlrQyjOPjLUeq1mfRosWYnFycRAc1Ez02No7JyXEtXdEtIyMLO3RTu2fFilWI3Q0F/2IcrFq1OrqMEBQB2cDAkHUMjo62rw8/fA2WL+fJKQLd4eGRqGN94UJgeBhYsmQYQ0Od407Vcfnyw7ravXi6OTjYXnmPj09gcrI9KNQxHoInn2xfL126DJOTy7R0hbMGgNHRMUxOjmFcGdIrV66aSxQMDi4w1let07PfBNfjMGUds2zZ8g5d16yZxMhIEPsu/i51XfQUm1+50s/mi6BmwYJhUruW6bcq8crExFJMTrYDp6IdC5tUn0IUPm5srJN/szng1b/NZsuBLlzY9tGdPnElJifb+g8N8epLpa8SaqJNZ2MuH71UiXGL9tFhxQq1TLfNl32iSl/Y79KlavxgtmGO/mW0F+Xd/G1+fs2aybl+BoBnf3IMADAxYfZxVBTts2DBCFatWj33vW2e16HRaGBiot1pHJsv+7hFizrv23wQ1Ue0eXa2/2Yll1T2ETpsUdatqv831VcXl6n1PfzwNV1+xgeqLsuXr4gS/6g7k0ZH2+OhrP/SUpOp/WWbh1WY5tXiOpWPK/xUwX/XLr0eK1asRLPZSpyZ4riiHdQ4tM1/wdwcs3jxEkxOLnH6uDJ9FSjHQYVOAwPA6OgSLFgALFq0gKSP2pZLlnTPAQXWrJmca6f9yvMRjg8qxlzR9ocd1rKBYp4vx3FVQHn2PqdPSv5tH+eOU8o+d3Q0XhxeB3bs0D+8t/4Gxoc+9CFcc801uPnmm3HEEUdgfHwcX/ziF/Gud72LrcCJJ56Ie+65BwBwxx134NRTT8Upp5yCO++8E7Ozs9i4cSNmZ2dx2GGHaWn7AcU2ruJa9z+VXN21iS71tleTXPkNDP+yLr6hp5DIKyQ0mPRIxT+UPqXNc8czZ4suhdZWJw5c+vj68jq3x7pAsTFueR86yhZx+Q2MOL4mdPu3qRzHjl0yQtvT5P85esXqQ6ouMfhTrqn3XbLkGFUzXWq4+jn3V0jkFJI4cV2vwJrA+OQnP4lGozH3OgeAuZ0XjzzyCD7xiU+QBZ1//vn4/Oc/j7PPPhuHDh3Ca1/7WrzwhS/EqaeeirPPPhvnnnvuHD8dbT+g2ZTfwLDJlQSGf1kX39DfwKjCYYYseqiTASWYDoFJj1T8Q+lT2jx3PNt8omuBQQm2YtbDJs+3vjnBJ2B3lfeho/SzJDDi+JrQxYepHMeOXTJC25O62PJZsHGhlu2lBAbFF8cCdc6wxQRletOPeJpk2ni67sWGrf7yGxg8xPbVLv6cuqbWLRcYXyEBgA9+8IO45JJL8JOf/ARr167FypUrsWvXLjzyyCN48YtfjA984ANW5kceeSSuvPJKAMDatWtx2WWXddGce+65OPfcczu+M9H2A+QYVTPkGNV0kGNUuyHHqNLuVY2QPuXyzQG56lUg10SLHKPaRs72UVWbcQN/OUbVDR9devUY1fkOOUY1X8RKhPYarAmMZcuW4YILLsDU1BQefPBBPPPMM1ixYgU+9rGPYcmSat7Z6ifosqBVBIfcTHHqp0YmubIDw7+si6+cQtL9WV4hSWvz3PFMfZpGpY0VBLn08fXluSYGAJqNccv70NnaVl4h6dQr1vzDLU/tQ9197twa2p7UpAG1v2MtPHppB0aup5DornW8dDswXK/FVB0zm2DrZ9mBwUPqPqTGrJSyvQprAqPA2NgYXvWqV6XWpe+hcyJVGCg3mKzaGRc85RhV/7IuvpLA6P4sCYy0Ns8dzzaf6FpgUIKtmPWwyfOtb06g2Bi3vA8dZYEix6jG8TWhiw9TOY4du2SEtqfJ/3P0itWHMRZ+ofxj1c/UrjklMFxjrfheEhhmXpzx4uNDJIERJ67rFWS6Kb8/UQw010IylVxf+qoMOdcdGAU4QXsI/9j1Dxl3VU4gPhOr6btYAW8IyouKWDx11xR6zv0Y7eS7oKfItQU4scdsszlglOHSxc43gnKJEOrrqOOHupiy9bNPAoMLX76p/U+qRbDP4oNSjpMooNClSCC49EqdbIiFGAmMUFlVJTAoOlHHmm5Hl2t+mS8JDI4+IYkOTnkV5dcB65wjq0xgqJ9jxHW9AlICY3q687zvXer5OYJoKJyI7MDQ85cdGP5lXXxlB0b3Z9mBkdbmfRf0nACRGmBy9HDp55LnW9+cwA3YKeV96GxtK6+QdOoVa/7hlucsiH2D9lh+yuT/OXrF6kOqLjH4cxaZPvVz1SV1zGDzD8X3Ll10cagt/qGMa5u8FLD183zYgSGnkMSJ63oF1gTG1q1bsWHDBrztbW/DL37xC2zYsAFPPPEE3vnOd1alX1+hcCLFte5/Krm6axNd1c644JnrDgxukEWhDZHjwzf0GNUqHGbIooc6GVCDDl+Y9EjFP5Q+pc1zx7PNJ7oWGNRgywcufXx9eZ3BmQsUG+OW96Gj9LMkMOL4mtDFh6kcx45dMkLbk7rY8lmwcaGW7aUERkpfbJJL8dEuXYrvYxyjWkW8pIOrHySBwdcplXzu+LSV7VVYfwPjwQcfxKWXXooNGzbgL/7iLwAAg4ODWLduXSXK9RuaTdmBYZMrCQz/si6+sgOj+7PswEhr89zxTA1GqbSm+nJ/iZ0SHLvkUvnmAm7ATinvQ2drW9mB0alXrPmHW57ah7r73Lk1tD1N/p+jV6w+pOoSgz9nkelTP1Nd8voNjO5XAXW85DcwzLw448XHh8hvYMSJ63oF1gTG+vXrsX79etx+++0444wzqtKpryHHqJohx6imgxyj2g05RpV2r2qE9CmFt+9RcqmQU9vrkGuiRY5RbSO178qRr48c0wK3DqROYMSAjy69eIxq3WMlBuQY1XwRKxHaayCdQrJ69WpccMEFOHDgwNx3F110UTKl+hW6LGgVwSE1WxfrKQcXLudVN7hPiSi0IXJ8+MoOjO7PsgMjrc1zx7PNJ5r0s9HGSoS49PH15bkmBgCajXHL+9DZ2lZ2YHTqFWv+4Zan9qHuPnduDW1PatKA2t+xFh6yA8MPFP9QfO8aa7o41Bb/UMa1TV4K2PpZdmDwkLoPbbEit2yvgpTA+MhHPoJ3vOMdWLNmTWp9+hqqE9HdSymXIiflYsaGgqf8iKd/WRdfSWB0f5YERlqb545nW9DiWmD4BFtUuPTxDbbqDM5coNgYt7wPHWWBIseoxvE1oYsPUzmOHVNkcGTb6HNKYKSIsSj8Y9XP1K6SwKjWv9v6WRIYPKTuQ1esaNstU9f4qhqkBMbKlSvxlre8JbUufY9ioOkW6ikHoW+wpvuc0pBz3YFRwDfI4vKPXX913Nn6tkqdbLJ86KgBaJWOvzwpxeKpu6bQc+7HaCffBT1Fri3AiT1mXQGrb7CVq58Dwn0ddfxQF1O2PpBjVOPz9ll8UMpxEgU2GTEedlAWoLEW+BxdYoEyNihzaYgsOUY1rwQGR5+QRAenvAo5RrV9TU1g9DJICYznPOc5+PKXv4wTTjgBA8+2mvyQZ3wUg7LOBAZnUcAt74tyIJqbcfoGWank+PCVHRjdn2UHRlqb913QcwJEaoBp4uOjl0ueb31zAjdgp5T3obO1rbxC0qlXrPmHW56zIHbZMVWGbwxl8v+mstz6cMDVJYQ/Z5HpUz9XXVLHDDb/UP7e1ddyjKqZF2e8+PgQOYWEJq+u8VU1SAmMQ4cOYcOGDdiwYcPcd5LAiA914gWq++EmbjBZtTMueOa6A8M3yEolx4evHKPqlhFzQVHWIxX/UPqUNs8dz7agxbXw8Qm2qHDp4xts1RmcuUCxMW55HzpKP8srJHF8Tejiw1SOY8dcGbH8IYdnrD5Uy/ZSAoPqi2OAOmfYYoIyvRyjai7PGS8+PkQSGDR5dY2vqkFKYFx00UXYsGEDnnzySRx//PFYvXp1ar36Es1m5w4MSWB08pQEhn9ZF1/ZgdH9WXZgpLV57nimBqNUWlewRYXu+D2bPN/65gRuwE4p70Nna1v5DYxOvWLNP9zy1D7U3Q+dW0P8IeUJPbc+HFB0CYFvm/nUz1QX+Q2Mav27rZ/nww4M+Q0Mmry6xlfVICUwLrvsMtx0003YuXMn3vjGN+KXv/wlPvGJT6TWrS9hSmBUBU6wVTXkGNV0kGNUu5HC/nK2r5x1UxEr8UDlXTdy1ElFromW2Vn/owFDk3K5IWYyJDaqarOQBEYdSJ3AiAEfXeQY1Twhx6jmi1iJ0F4DaUl444034qtf/SrGx8fxB3/wB3jwwQdT69WXULOgxWf1Xkq5FDkmJ1VVJlJ2YPiXdfGVHRjdn3VBSWjdQrLqPvxD6VPaPHc82566mPSz0cZOhLieNIXWNydQbIxb3ofO1ra6BEaILBt8x1TquVTVK9b8wy1P7UPd/dC5NcQfyg6MePUz1UV2YFTr3239LDsweEjdhyGxYl3jq2qQEhjNZ1ug+AHPkZGRdBr1MVQnAtTzCokPfVWGnOuPeBbgOJUQ/rHrb5u8qHWq4gmEz8Rq+s7UlqYAJwXKk1IsnrprCj3nfgyb913QU+TaApyYdsRZBITWNyeE+jrq+KEupkwLFN8EBhe+fFPPpTEWDy6+vjpQ+MZMYHBRdwLDxDMWYiQwfGTVkcDQgZvAKKD7UeB+T2D4yuRCTiGhycs5dogJ0iskv/3bv423v/3t2LhxI97znvdg/fr1qfXqS9gW6lUlMDiLAm55XxQ8ZQeGf1kX39AdGFWM1ZBFT/k737FctJUvTHqY5IXyD6VPafO+C3pOgGijjRGccxYBofXNCRQb45b3oeOMiVBZNlD5uu6l8gcxfI1veU6fuOyYKyOWP+TwjNWHMRd+vvxj1c9Ups4dGNSYoEyv24HB9YdVxEs62OofcowqdU4N9SGyA4Mmr67xVTVICYx3vOMdeOUrX4nHH38ca9euxfHHH59ar75E4UTkRzz1/HPdgREaZMWW48N3cFBeISl/lldI0to8dzxTg1EqrSvY4uhEuQ6tb07gBuyU8j50trbl/gZGyJg2LQZcvFLPpWq7xJp/uOWpfai7Hzq3hvjDundgUHQJgW+b+dTPVZfUMYPJP6h0uh9j1vGSY1TNvDjjxceHyCkkNHl1ja+qQUpgbNiwAZ/5zGewYcMGHHfccTj//PPxnOc8J7VufYdy4CMJjE6esgPDv6yLrxyjSpMRWreQScmHfyh9Spvnjmdb0OJa+PgEWxydKNeh9c0JFBvjlvehc/VzkZgtl9ElNULGtG4xQOGVei5V2yXW/MMtz/GpLjvmyojlDzk8Y/WhWraXEhhUXxwD1DnDFhOU6eUYVXN5znjx8SGSwKDJq2t8VQ3Sb2Ccf/75OOecc3DVVVfhrLPOwkc+8pHUevUlisBHdmDo+UsCw7+si6/8iGf3Z9mBkdbmueOZGoxSaV3BFkcnynVofXMCN2CnlPehs7WtaQeGa4Hi0olbllq/UB1s/GP4mtDFh6kcx465MkL8oezAiFc/U11y/BFPFy/5EU8zL8548fEh8goJTV5d46tqkBIYixcvxhlnnIHx8XGceeaZGMz1PMsegByjakauwy40GMwBoceoVu0wfSbZKstyeMbiHYqcdVORol9i84mJHHVSkWuiRQ3KfcqGyM0NMZMhsVFVe3ETGHX3Y4yFX2qExj51HqPqm6TUPUjLqU98Iceo5otem49igfQKyeTkJP7hH/4Br3jFK/Dwww9jZGQEd955JwBg3bp1SRXsJ5QDrqocJFWOyUlVlYmUHRj+ZV18Q3dguL6LAe44Va9N2WzuRBgzgcHNqvvwD6VPafPc8Wx76mLSz0YbY+xSFhm+T4tyTQwANBvjlvehc7Wt7MBo/481/3DLc+YQlx1zZYT4Qy5/X5khuoTAt8186pd6XnXxdY0jnX2Y/IZuB4ZNpk5uVbF9GbZ+lh0YPKTuw5BYsa7xVTVICYyBgQE89dRTeOqppwAAK1euxI033ghAEhgxoToRQI5RLfPM9Uc8C6SepFM5a9vklVNbhwRL1MC46mAiRV/qrin0nPsxbN53QU+RawtwYtoRZxEQWt+cEOrrqOOHupgyta1vAoMLTpLCdi/2XBpj8eDi66sDhW/MBEYI6khgpEaMBIaPLJ/7vgiZW0y7EXTHqOp49VMCw1cmF3KMKk1ezn4nJkgJjIsuuggA8Pjjj2N4eBjPf/7zU+rUt7At1KtKYHAWBdzyvih45r4Dg0MXEgSkWvRyd2CkWAjYELLoKX/nm8CIGfiXExgpFyy+9Clt3ndBzwkQuQkMbl2qSGDk5u8Amo1xy/vQ+bQtxW/FGgcuXqnnUrVdYs0/3PIhC35qv/ouxm18uPx9ZYboEgLfNvOpX10LLqp/oNiHLg6lzplVx8wm2PpZjlHlIXUfhsSKdY2vqmH9VYG77roLZ555Jg4dOoQrrrgC733ve/Fnf/ZnuOqqq6rSr69QOBH5EU89/1x3YMQKxqlyYtdfHXecvk0dYNn4ctvZNBlwFhuU+y6ETEo+/EPpU9o8dzzbghbXwscn2OLoRLkOrW9OoNgYt7wPnatt5RWS9v9Y8w+3PLUPdfepNsCxQyofLn9fmSG6hMC3zXzql3pedfF1jSOKfejiUOqcWXXMbIJN7nx4hUROIaHJq2t8VQ1rAuMrX/kKrrzySgwPD+PLX/4yvvKVr+Cyyy7D1VdfXZV+fYVmU45RtcmdDzswQoJxqpzY9VfHHadvUwdYNr7cdjZNBpzFBuW+CyGTkg//UPqUNs8dz7agxbXw8Qm2ODpRrkPrmxMoNsYt70PnaltJYLT/x5p/uOWpfai7T7UBjh1S+XD5+8oM0SUEvm3mU7/U86qLr2scUeyj+K7XEhjqd5LA4OuUSn5IrFjX+Koa1ldIBgYGsHr1ajz11FMYHh7GUUcdBQAYGhqqRLl+Q7MpOzBscmUHhn9ZF1/ZgeHmS7nvQsik5MM/lD6lzXPHsy1ocS18fIItjk6U69D65gSKjXHL+9C52lYSGO3/seYfbnlqH+ruU22AY4dUPlz+vjJDdAmBb5v51C/1vOri6xpHFPsovuu1V0jU+Dr3BIa8QkKTV9f4qhrWHRjT09OYnp7GbbfdNvdjnbt27cK+ffsqUa4fIceomuF7xFNqhAaDOSD0GFUfuhCE6JIiqIxRvu4xkbNuKmL3aQo+MZGjTipyTrTIMaotxEyGxEZV7RWSwKgDqRMYMZCTLjbE8FGmRXSvQI5RzRe9Nh/FgnUHxhvf+Eb81m/9FmZmZvDVr34Vjz32GM477zz8/u//flX69RWaTTlG1STX1C45gNt+LjpX+dj1V9uX07dVB1gh7WzKZnMnwpgJDG5W3Yd/KH1Km+eOZ9tTF1c/+jwt4uhEuQ6tb06g2Bi3vA+dq21lB0b7f6z5h1ue2oe6+1Qb4NghlQ+Xv6/MEF1C4NtmPvVLPa+6+LrGEcU+dIto6pxZdcxsgs1vyw4MHlL3YUisWNf4qhrWBMYb3vAGrF+/HkuWLMHg4CC2bNmCiy++GCeeeGJV+vUVms36XyHxoa/CkHNOYKjgBKu+vGPXX23fkOA7NUKCJWpgXHUwkaIvddcUes79GDbvu6CnyKVM/jEXiJTr0PrmhNAFCXX8UBcVpraVY1TT8I6ZwLDxjZnACEEdCYzUiJHA8JHlc98XHF/bbA50fDah145RjZHA4MrklFchx6jS5OXsd2LCeYzq2NjY3PXq1auxevXqpAr1M1RHon4uX6eS65JDWfSlNORcExixgnGqnFSLXtmBkX5ioCysY/IPpU9p874Lep8AkZrA4NaligRGbv4OoNkYt7wPnU/bUvxWrHHg4pV6LlXbJdb8wy0fsuCn9qvvYtzGh8vfV2aILiHwbTOf+tW14KL6B4p96OJQ6pxZdcxsgs1vz4djVOVHPGny6hpfVcP6GxiCatFsyikkJrlqu+RmkLGCcaqc2PVX25fTt6kDLBtfbjubJgPOYoNy34WQScmHfyz6FDbPHc+2oMWln0+wxdGJch1a35xAsTFueR86V9vKKyTt/7HmH255ah/q7lNtgGOHVD5c/r4yQ3QJgW+b+dQv9bzq4usaRxT7KL7r1QQGkP8rJJLAoMmra3xVDUlgZIRms/5XSCjBVtXOuNwuuRlkrGCcKid2/dX25fRt6gDLxpfbzqbJgLPYoNx3IWRS8uEfQp86AOOOZ1vQ4tLPJ9ji6ES5Dq1vTqDYGLe8D52rbSWB0f4fa/7hlqf2oe4+1QY4dkjlw+XvKzNElxD4tplP/VLPqy6+rnFEsY/iO/kNDDcvF52J1iVLfgODJq+u8VU1SAmMe++9F3fccQduv/12rF+/Htdff31qvfoSzaYkMExyJYGRzlmr7cvp29QBlo0vt51NkwFnsUG570LIpOTDP4Q+dQDGHc+2oMWln0+wxdGJch1a35xAsTFueR86V9tKAqP9P9b8wy1P7UPdfaoNcOyQyofL31dmiC4h8G0zn/qlnlddfF3jiGKzxXe9ugNDEhg8pO7DkFixrvFVNUgJjL/927/F85//fHzta1/DN7/5TVxxxRWp9epb5HyMap0IOeIpNUKDwRwgx6jGletTvu4xkbNuKmL3aQo+MZGjTipyTrTIMaotxEyGxEZV7RWSwKgDqRMYMZCTLjbE8FG6BEYvYT4fo9rr6LX5KBZICYyFCxdixYoVWLBgAVatWoWDBw+m1qsv0WzWf4yqD30Vmcicd2CoSLkITDVJqO0b8vQwNWImLUxtWfXTkBR9qbum0Pve860Ddzz7jk3T04vYizrXdWh9c0LoE1Xq+HHRudpWTiFJw9vn6SmlHNVPU2WkSGxSx2RM+SnA8V2mcj6yfO77guNrKf1W9icUn6Sjq2uM2OYlOYWEhyrWPb7ycvY7MUFKYIyNjeGP/uiP8LrXvQ6XX345JicnU+vVl7BleKtKYFCCuzoSGEC+CYxYwThVTqpFr7xCkn5ioCysY/IPoU9t874Lep8AkZrA4NaFswgIrW9OoNgYt7wPnU/b+sxxHJ4cn5J6LlXbJdb8wy0fsuCn9ivHDql8uPx9ZYboEgLfNvOpX10LLqp/oNhHs9n9II3ik3T8qorty7D57flwConpFRIuvxhILTskVqyzXaqE8xhVADjvvPPQbDZx7LHH4rHHHsNb3vKW1Hr1JcoOMqffwKjTGesmjpwQKxinyoldf7V9OX2bOsCy8eW2s20yMJX1ue9CyKTkwz+EPrXNc8ezLRh16ecTbHF0olyH1jcnUGyMW96HztW28hsY7f+x5h9ueWof6u5TbYBjh1Q+XP6+MkN0CYFvm/nUL/W86uLrGkcU+9DFoRSfpOOXOmY2wea358NvYJhOISmuq3zNPHUfhsSKdY2vqkHagfHxj38cxx57LADguOOOw8jISFKl+hVlA5QERpunHKOabkGjti+nb1MHWDa+3HamTgapA62QScmHrnc2zQAAIABJREFUfwh9apvnjmdbMOrSzyfY4uhEuQ6tb06g2Bi3vA+dq20lgdH+H2v+4Zan9qHuPtUGOHZI5cPl7yszRJcQ+LaZT/1Sz6suvq5xRLEP3dik+CRTWZusVHD57fmewKgSqWWHxIp1tkuVIO3AWLJkCS688EKsXbsWg8/u4Tn77LOTKtaPaDZlB4ZJtuzASLegUduX07epAywbX247uyYD6tgKrVvIpOTDP4Q+tc1zx7MtGHXp5xNscXSiXIfWNydQbIxb3ofO1baSwGj/jzX/cMtzFoam9vAdTyH+kMvfV2aILiHwbTOf+qWeV118XeOIYh+6OJTik3T8UsfMJtj89nzYgSGvkNDk1dkuVYKUwDj55JMBAE8//XRSZfodZQcpCYw2T0lgpFvQqO3L6dvUAZaNL7edqZNB6kArZFLy4R9Cn9rmuePZFoy69PMJtjg6Ua5D65sTKDbGLe9D52pbSWC0/8eaf7jlqX2ou0+1AY4dUvlw+fvKDNElBL5t5lO/1POqi69rHLXsY6Djs45GEhg0Xi46E61LliQwaPLqbJcqQUpgvO9978OWLVswPT2NZrOJLVu2pNarb5HrMap1G4Eco5oWcoxqXLk+5eseEznrpiJ2n6bgExM56qQi50SLHKPaQsxkSGxU1V4hCYw6kGsspiInXWyI4aN0CYxewnw/RrXX+kNFr81HsUBKYHz0ox/FAw88gH379mH//v147nOfiyuvvDK1bn0Hm4NMOQhDnjaVP6fKRM6XiaOKRWDs+pfblyqrzow3l446Zqt+GpKiL3XXFHrfe7514AY9tj600ZqeXsRe1LmuQ+ubE0KfqFLHj4vO1bZyjGoa3j5PTynlTO3hO55SzLnUMRlTfgpwfJepnI8sn/u+4PhaSr/JMap6XlyZnPIq5BhVmryc/U5MkH7E8+c//zluvPFGrFu3DjfeeCMWLlyYWq++hOpI1M/l61RybXLqdMa2dskBsYLxGDJ8QB131AVkFcEIt50pC1oXX8p9F6h6xOIfQp/a5n0X9D4BIjWBEcsubfJ865sTKDbGLe9D59O2PnMchyfVT7poY/qDGL7Gt3zIgp/arxw7pPLh8veVGaJLCHzbzKd+dS24qP6BYh/NZu+/QsLRx2dODfUh8goJTV6d7VIlSAmM0dFRDAwMYO/evTjssMNw6NCh1Hr1JcoOUn4Do80z5x0YsYLxGDJ8YGtfn8A8dTDikkFZXPlOqqF1C5mUfPiH0Ke2ec6iU0fP0c8n2OLoRLkOrW9OoNgYt3wMujKN/AZG+38o79DFh6kcpe18x1OIP+Ty95UZoksIfNvMp36p51UqX2qbmurd6wmM3H8DQ04hocmrs12qBCmBcdJJJ+ErX/kKVq9ejQ9+8IOYnp5OrVdfonCQBSSB0ebZ78eopmxjW/v6BOZVBCPcdqZOBqkDrZBJyYd/CH1qm6cuTkz0HP18gi2OTpTr0PrmBIqNcctz6Sh9KgmM9v9Q3qGLD1M5Stv5jqcQf8jl7yszRJcQ+LaZT/3q8mG2eaBMx6m3jZ/P/FQVXD5TEhh8nVLJDokV62yXKkH6DYwPfehD2LNnDxYuXIg77rgDL3nJS1Lr1ZdoNmUHhkm27MDwL0vhLTsw3Hwp910ImZR8+IfQp7Z56uLERM/RzyfY4uhEuQ6tb06g2Bi3PJeO0qeSwGj/D+UduvgwlaO0ne94CvGHXP6+MkN0CYFvm/nUj9r2sX+o3TYPlOko9ZYdGDReLjoTrUuWvEJCk1dnu1QJawLjs5/9LAY0HuWBBx7Ahz70oWRK9TPkFBI95BSStJBTSOLK9Slf95jIWTcVsfs0BZ9+Qs6JFjmFpIWYyZDYqKq9QhIYdSDXWExFTrq4YEtgUMvn/CAtFHIKSb7otfkoFqwJjKOPPjqqsGuuuQbf/va3AQAHDhzAI488gs9+9rP4m7/5G0xOTgIAzj33XJx66qm44IIL8Oijj2JkZASf/vSncdRRR0XVJUfYHGTKQUiRU2c2OfeJg1r/kHZK2cbUcWfrd8r3oQhpZ2o2m5PZ9kFIVt2Hfwh9apvnBj1leo5+Pk+LODpRrkN555TApdgYtzyXjtLGsgOj/T+Ut295VzlK2/mOpxB/yOXvKzNElxD4tplP/ahtLzsw0sLmM2UHBg+pZYfEinW2S5WwJjBWrVoVVdhZZ52Fs846CwDwqU99Cm9605vw8MMP48Mf/jBe+9rXztF973vfw8GDB/Gtb30LDzzwAC6++GJ84QtfiKpLjig7yDpeIfGhr8KQc05gqOAEq758Y9ff1r6p6uODkGCJOmarDiZS9KXumkLve8+3DtyFve/C0DT5x1wgUq7L38Xa8VQHOAGU677vOKP0qRyjmoZ3zASGjW/MBEYI6khgpEaMBIaPrBCaFHILOkq/yTGqel5cmZzyKuQYVZq8nP1OTFgTGDfeeKPx3rp167yF/vjHP8bPfvYzfPKTn8S73/1uPPLII7j00kvx4he/GOeddx7uu+8+vPrVrwYAvPSlL8VPfvITb1nzCb4LyRhyXXLqdMaqg00lIwQxgvFYMnxga19qv1O+D0VIO1MWtC6+lPsuUPWIxT+EPrXN+yYwfAJEagIjll1SxiAngUGhrxKU+nHLc+mofWrj6aMTtyy1fqE62BDD1/iWD1nwU/vVdzFu48Pl7yszRJcQ+LaZT/1C2j4EtnmgTEepd6/vwODo4zOnhvoQ2YFBk1dnu1QJawLjoosumrt+7LHH8LOf/Qxr167FCSecECT0S1/6Ev7kT/4EAPCqV70K69evx5FHHolPfvKTuOKKKzA1NYWxsbE5+qGhIUxPT2PBArO609PTaDQaQXrVhULvAwcOw9AQsHPnPgDLsG3bdgCHAQAOHTqERmNbEvlPP71wTs6+ffvRaDzTRbN79wCANQCAmZlZNBqb5+7t2TMBYBQA8MwzO9Bo7Iuq3549E2g2Fz3bHquwfft2NBoHosoIwfT0agBDAIBNmzZj1vDjJfv3HwZgIQBg27an0WgcJMvYvx8AWq9Zzc52tn8opqdXYf/+g5iamgYwgY0bG1i0qHVv164xAOPPXu9GozE1V27z5kEAh3fx27t3HxqNHR3fxbDNHTsWA1gGAJia2oNGY5eWbtu2EQArAAD79x9Ao7Ede/cuBbAEALB9+zOYnV2K4hCmRmMTRkdbXn7nzlEAE0YdNm/egpGRGe86qPx3796NAwcWAhgBAGzdug2NRtgR1Z38p9Bo7Pam37FDtfkZNBpb5u7t2dNuT1+bbzbXABhAs0kbH2X6Z55pj4c9e/ai0dg5Rzsz07bJRmMTnn56BGUft2/fMgCLO2Rs3rwFExP0/t28eQjAagDFHLT1WX3aPnHHjlb7FPoDwMaNDQwN0epLpa8SnTbWas+9e9vtuX37M2g09hvLT02p7bMTjcZeLd2OHUsALH22TKfNHzwIlH2iSt/6fhrbt+8AsHLuu02bNmNoqNtHl32ETf8ypqdXoQinNm3ajAUL2vx37TL7lK1bt6LRaJ/qpvq4PXvMPo6CVuA6+ex1E08//QzaNtDto13Ys2cvfGz+wIEVsPk4mw9q23wTjcYmo4xDh1YCGAbQsuHR0Zln9TT7CB1U+s7v2/VVbf7QobbNt+vbnudDfLoal6nYuXMXGo09Xjw7+XfbMNCpvy5O6bRJ9xwDdMYRJmzc2MDwMKsKTszOHo5int+4sYHt2xcBWN5Ft2PHTjSbo3OfN23ajIGBTh/R8lmLsW3b02jFoZ1xRIGDB1uxus3HbdmyAMCqDvoqoPNxW7e24rhdu3biwIGFOHhwiKTPtm3DKPzqgQOtOEuNCwqoNtC51qD7oMJHbNmyGcDh2Lmz1Z4zM+3+bTQ2YWqqutX67t3jAMae1S+OTdr4Hzq0GKqPGxszxykmHzRf18gmkE4h+frXv44bbrgBL37xi/HP//zPeN3rXod3vetdXgJ37dqFn//853jFK14BAHjTm96EiYnW5PWbv/mb+O53v4vx8XHs2dMeDLOzs9bkBQAsWLBg7nc05hMajcac3sPDrb9ly1oDb9my9uQ1NDScrH7LFX++cOEirZwlik8aGBjsoFmsrAGWLl2GycnuACAEixcDQ0PtV5qWLTsMOXW1uq1t9erDjbqNjLSvDztsBasO+zpixcGoY2FwEFiyZAHGn40v1qyZnOtTJY+IsbFxTE62gxBTZnfRosWYnGwPCnWMh2BCWQMsWTKKyclRLd1hSsw3MrIQk5OTcwkZAFi2rDOAOfzwNXN1H7fHWFi1anXQ2FP5j46OdwRsK1asDB7XnfzHMDk5ZiZ20C9c2L43MDAU3ebV8UMZH2X6pe11KhYvXoLJybaTUncrHH74Gq2PU+tXgNu/+5U17uBgew5S22diotU+qv5r1kzCMaWx6atEp40t0tqYrR3V+WRiYikmJ5dq6Ww2f6Ajh93yiROlPMGCBQuwcuXKju9MPpqjfxm2OWDMYoIrVqzqoFX1X7zY7OMo6HwFdQDLl7c7beHCTh/tQqPRwOLF7U7j2LzLx9l8UPtJ64DVR6jJPdWGbT5Ch6X6YdhRXyU0xdBQd9wZy6cv715nAwDGxycwOWlOsvvwL2wY6NRfF6d02qR7jgHsNlBgzZrJjhgpNtasmcQyw5CdmFiKZrOdSNT5iCVLWvNKOw7Vd9CCBa1Y3ebjtm7tpq8COh9XzJVLly7F4sXAggW0+VidA4aHW3HWYo1LUW2gcx6m+6B2bHr4s59b7Vme5032mwKjimuOZZM2/iYfp4POB8WKw+vAjh36RNeg9tsSbrjhBlx++eX42Mc+hm9+85v4zne+463Ivffei1//9V8H0Hoq8Du/8zvYtKmVWb/77rtx0kkn4ZRTTsEdd9wBoHXiyXHHHectbz6hvEVNjlFt88z5NzBibIeOJcMHtvb12Rqdqn9C2pm6HY+zNc8HIdsCffiH0Ke2+VBdOfr5bHelgLMNO2bf1I3Q+sXwmZQ+7ecf8Yzta0K3f5vKceMPjowQm+Py95UZoksIfNvMp34hbR8Cmw2U6ZrNgY7POppef4VEfsSTr1Mq2SH+O+fYISZIz3SazebcDojh4WEMB+zz2rBhA4488kgAwMDAAD796U/jfe97HxYtWoRjjjkGv/u7v4uhoSHcddddOOecc9BsNnHhhRd6y5tvkGNU9ZBjVNNCjlGNK9enfN1jImfdyuAsEkP45oJc9QLswWvdkGNUW4ihU6p6VdVedS2ifZFrLKYiJ11csCUwqOVzfpAWCjlGNV/02nwUC6QEximnnIL3v//9eNnLXob77rsPJ598srfAd7/73R2f161bp/1B0L/8y7/0ljFfYXOQKQch9wlI1dnk3CcOav1D2illG1PHHXXRWEWgy21najabk9n2QUhW3Yd/CH1qmy/z4P6oJUc/n6dFFFDGke/TopyfooTWL4bPpPSp7MBoX4fy9i3vKufri7k8QhIYHJ6x+jD1/OrbZj71C2n7ENhsoExHqbfswKDxctGZaF2yZAcGTV7OsUNMkBIYH/nIR3DbbbfhiSeewFlnnYUzzzwzsVr9ibKDLHZgcJyKr9xCjgs6XQq9bRNEqH45JzAAWv3VduJC7aPY9be1r21s6HRKuUuGKkNHV25705gt16n8PxZU2TF5c8cJtX9192LYPIeHrg+p+unaJUb/mtpb1z7cNksx7mLB1PbU+lHbwjaeTX2qfqf6NZe80HFgKltuK1vdY/p5ndxQ3j42T+1rnQ2VZZp8P8Wfc1D2Cza9qLr4ItUcxPFdpnIcWeU4Qde/sWFqN1P/unQpJ0Rt9arKzjkwzUuFLj4JDNMc4GM7LuiOUa1rjoxt5zb+XHk5xw4x4fwNjJ/+9Kf43Oc+h9tuuw2HDh3C85///ArU6k+YAo7BwbQDkSLHRtNs2rd2xdIv1wQGtf4h7ZRyLNjal7KAUCeVlGOV2gY6unLbm/qiXKfy/1iLikK32LbDHScuu7bdC9G73M5UHuU+pOrnGhOx7VLXPtw2S+1XQ0CxMVd5qs8sy3HpUHxXhkteqH82lVV1co23mH5e52tCePu2j6uczYaK710yKf6c6w9Nsl08Y9ktRZcQcHwXpZxLVjlOKF+nih1N80BZNqXeuh0YpviH6hOq9O2meQngx9c+c6pvvU2+oM45MrVsasxah265wJrA+Ld/+zd89KMfxeTkJF796ldjdHQU73//+3HzzTdXpV9foewgix0YksDIewcGJxjPNYFB2YFhm4QLSAKDV4fYthMSsHOCrFC9OYsTEz1HP59gi1sP1yKA22Y5ByEUG3OVryKBofo1SWCE8fZtH8rCUKcXx0dQ/DnXH5pku3jGsluKLiHg+C5KOZcs9Um9JDC66auAaV4C/HdgVJnAKMeodc6RqWVTY9Y6dMsF1ldIvva1r+Gyyy7DEuU8oDe+8Y1473vfi/Xr1ydXrt9QdvJ1vEJiC+5MNKreqQy5vG0vJ1DrH9JOlD7yha191UnbNAmrZVOOVWob6OjKbW/qi3Kdyv9jLSp026JjtBt3nLjs2nYvRG9TQMKh5+jnGhOx7VLXPtw2S+1XQ0CxMVd5qs8sy9HdK+ZKnf1S+zjUP5vKmvykizamr4nB27d9XOVsNlR875JJ8edcf2iS7eIZy24puoSA47so5VyydONfva5qEajKpMQEKq/yZ129KP4wZTxng2leKuD7Cgl1TvWtt8kX1DlHppZNjVnr0C0XWHdgLFiwoCN5AQBjY2MYUg+kFURDMejKOzAkgZH/DoxeSGCYJhxuYJ6qf6htQFlcUQJe3f+YiwrupOTDP4Q+pc1zFicmeo5+PsEWtx4Uu5EEBo+WOz519ptTAsOlS0w/b7IxSWDY+agyJYFBL+eSVVcCwzQPlGVT6l2Ok3T1ovjDlPGcDTqdyv6J06dFOeqc6lvvgla3e0QSGNXrlgusCYwB1TIVzNZxvmefQJfAGLT2UjxQXyExlU0JtV1yQ7NJr3/otq5U7exqX9uEU9UrJFwZZbpy29vasopXSEx6xQB3nNja1HQvxlj00RPo7leqfuXvYvUvRZbpOwrfXIMQ0/ZhatkYtLZ2Vv0aRV5Ie7vKDgx0jzcXrxgoeIXGE9z+1elg4muj4c6tpnucBAaln3zvUWHSJbYv8PVTPnO9zhZTx46UV0gouugSGOUyHH6U+ylgkukbY7teIeHoYIIpgWH6ripUOXa58nKPHWLA+grJz372M/zpn/5px3fNZhNPPPFEUqX6FTYHmXIQcoxDp4vqtFJmInPOKHLf0+Ui5ViwtW/5nkmnAikdOnWc6ujKbd9sAsVGMttTP+qCg4uiH0PGhA7ccWJrU9e9EJu3BSRUPTn66dqFGmxR9SqPI1vgTG2zOgJcCkxtH/sdXdt4NvWpqocugWFL0qdY3Ks+xbUYjennTWMuhLePzVP7WmdDVJkmGT6Bv0rv4qnTKXY8pI7lmKD6Lls5jiz1CX/qBL4q15agKftoShJS7QddXXTzS0o750Cnk+qffHZgcB4KhNa7LCt2/MRBFeseUwzLmV97GdYExiWXXKL9/pxzzkmiTL8jhwSGLbgraKanu+/1cwKDE4z7tlMOCQzbJFwg5ViltoFrsWoLVlwJjFiLCvUVkpi2E5LA4ARZdScwTEkJk37UBEYsuwxNYHDpqwbFxlzlc05g+IwD22Kl0GM+JzB824ezIDYtdlwyXf7cN6FbZwJDN5ZDeZr423wXtZxLlmk3VFWLQJ0f5iQwdHFSeaHYrwkM6pzqW+9yXKbK0z2IqgKxYzcX/xTz63yHNYFx2mmnVaWHAN1GKqeQdPKUBEa6BAYgCYziWhdo9XsCI3bSkrM4MdFzfJJPsMWth20REKO+OYFiY67yMRMYtu8K9HsCIzSe8G0f3wUxxwZs/lzH28ZHlZlbAiPmbyZQfRe1nEuWJDA6eZXpq4BOJ9/42mdO9a23ScfY8RMHqWVTY9Y6dMsFmmleUBcKB1lAEhhtnuVtezmBE4znmsAwta86aVMWEJLAcNdBbc/YtqNO9NyAnRNkherNWZyY6Dn6+QRb3HrYFgEx6psTKDbmKh87gaFrZ9mBMX8SGKYf8ZQERuu/JDD8QE9gDJDqrX5W26rgR/GHKeM5G3Q6qfJz34FR/hw7fuIgtWw1LufGinW2S5WQBEZGKDt5OYWkk3/OOzAouoW0k9r+sWFrX/WeaRIx/Qp3Cj0pMnR0usmA8psftl/U9q1DOYERc1xT24hCn9Lmy2OHMiGX6Tn6ucZEDLvUjSOdfIocLn3VoNiYqzzVZ5bl6O4Vn8vf6WzZNseFjANTWdXmXbpw7delkyorNJ7wbR9XOZsNFd+7ZNr8uY63jY8q04dnLJ9uGsuxfAHVd1HLuWTpxr96HdvHUf2DiVbHTxcnmeIfl08o01cBnU6qLj4JDM6c6ltvU9vHjp84SC2bGrPWoVsukARGRigb6XzagdHvCYwqd2D4lHfxdiUwdDLLOhXXqfqHMk5NdOW2twW8akCSYgcGkH4HBpWfjd5l8zF2YHAX9JwdGJQERsodGDESGLk+RaHYmKs8ZwcGN4Gh24FBSWCk3IFR1stEW9yP5Wty2IFRdwIjxQ6MqhIYrjETyl/X7ql2YBRQY4bUCQz6Dgy/BIZtB0Y/JDCq2oFhSmDUuQOj6gSG7MDohCQwMoMugaE6/tSybcGdTZfBxCNJbZfcUJ6cbQh1eKnawNa+ronN9AQiFagyynS2wKNcrrzoiTVRlSfimLxVfpxxQulf3b0YY5HrN3RtZdJPx7v8Xaz+1bUFRT6Vb65BiOnpG7UsFbZ2090rP7V28SiX82lvW9lCD6ouMefTWPEEt39V2Oqj84nUslQ66pxRjnNs9eWOSS50uqSYX232YwNXF928apIfE7ZEcrmenHGqsycOP8r9FKDEPRyY5gAbL64cUwJD5VXHHJl6TVK2eZ/5NdfYIQYkgZERbBnelIPQtaBTkeJprAs255ULuDswuNA9TYgFW/vaHKfpCUQqUMepjq7c9qYxW65v+WlCDJiy6jGg9qVPwK67p9Mv1Oa549nUp1T9qE+LuDD5aJt8tRyFb44w6ZdqB4Zp3inLLH+nSxrYkvQh48BUVrUx146fmHO+acyF8PbdgeEq59o94ZLp8ufcfg15ihw7HtLtVogBqu+ylePK0iXwUsWONj1NOzAo45SzA6MKO+dAp5PaN747MFSk2IGh6lfWoa45Uk3WpFr3AJ0yfObXXkYfVHH+IIcEhi24M9H0ewKDE4yHbFEG6klgmCY21wQeG1R7cC1WbcFKuS1cCw6fOqjtGdt2fBIYlP6NbfOhC3pTUsKkHzWBEWKXtkVAjPrmBIqNucrnnMDwGQe2xUqhx3xOYPi2D2VBrPNBHBuw+fOCB9UfqjLrTGCYxnIsX0D1XdRyLlmmHUhVJTB0/oGTwLDF5wX6NYFBnVN9621q+9jxEwfcWCuUf4r5db5DEhgZQXUkwPz6DYzUCQxAEhhAugQG0F8JjOK++rm4lgRGpz6SwKDpZVsExKhvTqDamK18FQkMFf2ewMj5FBJJYLh1kQQGDxT/EJLAUO2pwHxPYKifKbyAahMYZT6x4ycOuLFWKP8U8+t8hyQwMkLZSCWB0eapc165gBOM55rAMLUvdYFbQBIY7jpIAoM/nl3BqEs/n2CLWw/bIiBGfXMC1cZs5atIYMgODElgFDyo/lCVKQkMejmXrF5IYKjotQQGkPcODN3n2PETB9xYK5R/ivl1vkMSGBmh7OTlGNVO/jnvwKDoFtJOavv7lHfxDnmFRE1+pByrlHFqolPbvvzjW6b6qjSx2l03KcXsU+6kSu3f2DbPHc86eo5+rjERwy5140gnnyInpb3HgKs9KfWj+syyHN294nP5O50t2+a4kHFgKqvamEsXqo+j6qTKyvkYVVsCI2Ru5banbvxwecby6aaxHMsXUH0XtZxLlm78q9exfRzVP6j3qOMUMP+IJ8UfxrRzDnQ6qbr4JDA4c6pvvct8feac2ODGWqH8U8yv8x2SwMgIJgeZ2w4M3b1+T2D0wg4M24JeJ1M3JubDDgxKAqNAih0YhexiUoq9A0N3baOn9K/uXowdGNwFPWcHBiWBkXIHRowERq5PUVw2RqkfZwcGN4Gh24FBSWCk3IFR1stEW9yP5Wty2IHhsyDm2IxJBnXO0NGr/zmLsFjxkG4sh/LU8de1O2Ungk8Co4AaM6ROYHB2YPgkMGw7MPohgVH1KyRlHevcgaHTJyb/8twmOzA6IQmMzODK8KaWbQvubLroEhsxobZLbihPzjaETtap2sDWvq6JzfQEIhWoMsp0tsCjXK686IkVZJWDoJi8VX6ccULpX929GGOR6zd0bWXST8e7/F2s/tW1BUU+lW+uQYjpaRi1LBW2dtPdKz+1dvEol/Npb1vZQg+qLjHn01jxBLd/Vdjqo/OJ1LJUOuqcUY5zbPXljkkudLqkmF9t9mMDVxfdvGqSHxO2RHK5npxxKseotsvp5gAbL64cWwKjzjky9bqkbPM+82uusUMMSAIjI5QdpG+20kduIccFU1Y1ZbbP1C45gbsDgwvd04RYsLWvzXHqxk3KCZk6TnV0ujHqerqm0qRYUJSz6jGg9qVPwK67Z9p1FWMHBueJQlkXjn7Up0VcmHy0Tb5ajsI3R5j0S7UDw7TLpiyz/J0uaWBL0oeMA1NZ1cZcO35izvmmMRfC23cHhquca/eES6ZJhq8dhTxFjh0P6XYrxADVd5nKcXQxzavqdey4ztb3ph0YlHGqi89Vvrr5JaWdc6DTSe0b3x0YKlLswCj0U//XPUeqSZVU6x6gU4bP/NrL6IMqzh/kkMCwBXcFjfq5uO7nBAYnGA/ZogzUk8AwTWyuCTw2qPbgWqy6xrJu0ROr3cvtGdt2fBIYlP7V3aszgWFKSpj0oyYwQuwyZQIjR58H0AN2XfmcExg+48C2WCkTTZGpAAAgAElEQVT0mM8JDN/2oSyIdT6IYwMmGdw6l2XWmcAwjeVYvoDqu3TlfBa7ph1IVSUwdP6h894Aud46/sW16g9NMWtVsX0Zur4t/ockMKhzqm+91bZUYyeTnCrgYwch/FPMr/MdksDICKojAfL+DQzOhBdLP0lgpEtgAP2TwCi/QmKqr0rT7wkMXTlJYNAXATHqmxNc7UmpH8Wfu/q4uFd8to3Zfk9gyCkkNF1VmZLA0JfrxQSGS5dyHWL8BkZuCQz1M4UXIAkMSWDUB0lgZATVSIF8TyFRPxfXqbdSqe2Sm0FygnHfdvKdZKi8Te1LWeCqZVOOVco4NdGpdZRTSGj0KW2eO5519LbxUNbPNSZi2KWtfWLUNye42pNSP04Cgzo+y9/pbNk2x4WMA9tipdDDpQvVx1F1UmXJKSQ0XVWZPjxj+XTTWI7lC6i+S1cuNIFRjhlMskJA9Q/qPVe9VVBPIXH5rip9u66Oqnxun5bLuOZU33rr2q/uOdLHDkL4p5hf5zskgZERyk5+Pu3AqCKBkatBNpvzfweGqX1dgbmqU3Gdqn8o49REp7a9nELSSUPt3zLvGDswuAt66g6MMm9TsJVyB0aMBEauT1FcNhYrwLKNZ+oChZPASLkDA+h8mm6iLe7H8jU57MCgLAxTJjBS7MCoKoHhGjOh/HXtTtmJwNHFNK8W8jm8qHDNGWVayjg1xecFyv6wrEv5c04JDJ+kFNDfOzBUfVLwL89tsgOjE5LAyAg2B5lyEFKcSsrFDEU/SWC0/teVwLA9RZivCQx5hYTXvzFtnjueXcGoKUiy0bqCLW49bO0To745wdWelPpRxqktSLT1sy6BIa+QhPH2bR/qgtiUwJBXSFr/U+3A6OdXSDhzsS0+L6B7hcTlu6r07bo6qj5TEhh8narcgSEJjE5IAiMzuBxkSnASGLqyKaG2S25QnYULoU4lVTvb2tflpKtKYKj6UGSUdTElMHT8q0hglPWK1W5cW6H2b/l+jLHI5aHTxTTmdLzL38XqX4os03cUvrkGIabglQLqOHXRlWWWd13oFk0uXj7tbStrSmC4eMUA1e+5wO1fnQ4mvrY+5s6tpnshCQwfeaFIncAo4OOnfHRxJTBSgZLAoOhCTWCo4PquKkCJe7j8bAkMjg4m6BIYZV51zJGp1yVlO+O0W+6xQwxIAiMjlB2k7elTbLmFHBdMT+lTGoupXXICd5srF+U+itkGtva1BZe6cZPSmVPHqY5ObXtb5r5c3/L/GChn1WPy5j4V4PZvuZxKx9UT4O9IKPepTj/Xk7fyEzIdDypMPrrsE2PUNyeY9KOOCeo4pT7FLD7r7JezAyNkHJjKqjq5dIn5ZNY0Z4TEEz42T4kPUu/A4PZr2S9wniLHjod0YzkGTPVw+XZXwskkSzevFvJNskJg6/tymxa+gzpOTfzVMUz1XVXGs7o6qvXg+AbXHGCzHR8fZOJb1xzJjbVC+Kufi2tK2V6HJDAygmkhmdrJUeS4Fn39nMCg1j+knbgLIC5vWwIDoC0giutU/UOd/EyL1XLbUQLeVDswiuvYtuOTwADoC0T1Xojevgt6V1KCQ6vWIYZd2hYBMeqbE6g25iqfIoFR8C3+cxIYIePAlZQYGHCPt5AAX6eTTpavj/ZtH1c5U2DOsQGTDG6dyzJ9eMby6br5NeZiyea7XP3F1cU0r6rXsX2cax5Q9aHMxbb4vIAuQd7rCQzOnOpbb9VHqAknk5wqYPJbMfkDvASbWjbX2CEmJIGREcpOXn4Do5OnJDDSJTAA9w4M1wKiuE7VPzZdTHrpJlb5DQwafUqb545nVzDqWvj4BFvceujGkU4+RU7dwZkLrvak1K+KHRgq6kxgFDrVmcCQ38Cg6arKzCmBEftpr813+fSXS5ZuXlWvY/s41zwA8Obich168Tcw1M8UXoAkMKrYgcGNFWPHlblCEhgZQTVSQI5R1fFPJSMUlPqHtJPvJEPlbWpfyiRs2kIZG5xFT1kXtY5yjCqNPqXNc8ezjt7kt6i05aDIpy42Hcr9zJGT0t5jwNWelPrFSmCU+7lsv9Q+DvXPprKqTi5dYgbF5faRY1RpuqoyfXjG8uk6XVIkMEy+S6UplwtNYJRjBpOsELjmgeI/dS4ufyfHqHaXcc2pvvXWtV/dc2RMX03h7zO/UmjnMySBkRHKTn4+7cDQXcfUT22XnAzS1i462lx3YJja1xWYqzoV16n6h+qUdeNZbXs5RrWThtq/Zd4xdmBwF/ScHRiUBEbKHRjqdYz65gSXjcUKsGzj2dTP5QUFJ4GRcgcGoN+6XqbVXfugPIbkGFWargW9+p+zCIu1eCjrEjv+sbW7zys/Llm6ebWQz+FFhWvOUOW37g2QEzeAHKPqmgP6YQeGqk8K/uW5TXZgdEISGBnB5iBTDkKKU3EtZlImF8rtkpNBcpxoaIBMlcOFrX3Ve64FbnGdqn9supj00k2s8goJjd5l8/IKiV2Hcj9z5NQdnLngak9K/ai2zBmfZfvV2bJtjsvhFZLYOzBySGDM11dIfJIisXy6TpcUOzDkFRLaWLPF5wXm+yskksDg61TlDgxJYHRCEhiZQbeQHKyolyhyTDSq3imQmn8oqH0U2pepxoKtfV1trwtGUoEzDsq6lB06ZSyXJ+MYKNchdptxbYXTv+VyoeDWXUdv4kGhjdW/uvK6do1R35xgak8KqOOUOz5dCQwbQtrbVtaUwLDRxgLV73F4xS5nq3OMudXX7nz8oo88qi4pYiCOTy3go4srgZEKtvpx52JXfG7zRVTdUiN2DO8zp/rUW/Xpobxioep1D6euuccOMdAHVZw/KGd41cxoyiwaRY5Ko34urqvKRJZl1w1bu+hofevAkeODkB0YqoNNOVY5T23LuujanrIDo/w/xlPRclY9Zp9ybZHTv7p28tWb+/REp4vJb7mevOnGRAy7tNlNjPrmBKqN2cpTbZnyFLP4rLPf8qLJNseFjANTWVUnly4x51LTGPLl7ds+rqeBpjpzbMYkg1vncpu59DLVJ+YODJsuITDVw9XPPmPUNK8W8k2yQuCaM4r/aj04OzBc8Q/Vd1Xp23VjU60Ht0+LctQ51dcHlfnq+rLqOTKmr6bw95lfKbTzGZLAyAhlBznfXiHp5wRGSJAVW44PX1sCo7jvWkAU16n6hzr5mRaruq3UKn1ZhkoTq93LE0usYLfM3ydgpywQy3LK33P0NPGm0tsCcAqt2vYx7NLmE2PUNye42pNavxQJjIJv8Z+TwAgZB7akRKGLa7zFnEvL7ZP7KyTl+zHmVu6CSTd+bHqZ6hMzgaHOr1UlMFz9xdXFNK+q17F9nGseUPWxxQQqP1N8XkCXIO/1BAZnTvWtt+ojfOfU2AiNgSj8gc76cubXXGOHmJAERkYoO/n5dgpJygSGSXbd4OgW4vBStYHKh9u3ZZ2K61T9Qx1nuvGstr2cQkKjT2nz3PGsozf5LSptOSii6GHTy9Y+MeqbE1ztSakf1ZY547NsvypcuoX6Z1NZVSfXeIs5l8aOJ3zbx1XOVOcYcysltinzUWW69LLVx6VzDF1C4PJdKk25nM9iVzf+1evYPs41DxT/BwbsMYHKT5fAMMU/VN9VpW/X9a3vXOMzp/rWu8zXZ06NjZi+msLfZ36l0M5nSAIjI6iDDphfOzB01zH1U9slJ4O0tYuONucdGOXvimtbsK3qVFyn6h+qU9aNZ7Xt5RSSThpq/8YIRHTlKbrqdLEF4GXepmAr5Q4M9TpGfXOCy8ZiBVi28Wzq5/KCgpqkCrVF164KlcZlc7466HjF3IGRKoEBpEtgcHTWzYd1JzBcYyaUv65+PjtmXLJ082ohn8OLCtucUZZPTWCo6LVTSLj6uOaA2Dswyp/rniNT92G5r7jza66xQ0xIAiMjFAO2nOGdDwmMqjKRZdl1g+NEQ5xKKmetOmFbAGh7ilB1AoPy1Lasi9r2cgoJjT6lzXPHsy0YNS0wqn6FpPx9uZ85cuoOzlxwtSelflRb5ozPsv3qbNk2x/m+ImHjr+o0318h8U1gULfmu+yYKyPEHwJuvUz1SfEKSaodGD6vkITuwMjpFRI1gSGvkPD6FJBXSKrcgSEJjE5IAiMj2BxkykFIcSopFzMU/SSBQZfjw1cSGN0yVBpJYMS1+RgLes7CxyfYCqmHrp85cuoOzlxwtSelfpLAsNPG8DWqrFgJDK5uvgviGHNriD8EJIHB6S+XLElg6HWr0rfr+rYcA3L6FNDXufhepTOVocqSBIYkMMqQBEZm0C0ky0/3UoEix0Sj6p0CqfmHgtpHoX2ZaizY2tfV9rpgJBU446CsC9WubAmMGCjXIXabcW2F078hcji8qfQ2HXS8y9/F6l9deZ1uofXNDab2pIA6frjj05XAsCGkvW1lCz0ousSe68qBbEgdfXVzyeTaMYcuxB/66hXTbsuL7dig+MkyfHRxJTBSwVa/8gKUU2/TAxwTPVW31Ig9n5virNj2odpkKK9YqHrdw6lr7rFDDPRBFecPyhneqrK0FDkpn8ZS9NO1Sw6I8ZQothwfvqb25TwBLa5T9Q/nqW1ZFzWDTx3LKo3swIhr89zx7Hra7npyaxoTsgPDD672pNSPasuc8Wl6gl6mM8lKvQPDpUvMudSkl+zAsPPRjR/OU+RYPr1c/9gxlqkevv3lkuVKYMT2ca55ADAnMFz11vEvrk1zgEm3Kn27Lg4qx4CcPgXMdZYdGHH5c+fXXGOHmJAERkYoO0g5haSbf1l23bC1i47Wtw4cOb58fRMYaoY45VjlLHrKuqhlOa+QlP/HWFSUJ6WYfRoSsLv6N6bNc4MPnS6chY8t2Crz9amHLiiMkcDI0ecBdhtT79vK55jA8GlvV1+pOtmC+zJtDF+j6hXrFBJJYHTqRdWFi3L/VZnAsNmBzzgwzauFfJOsEJjmDPU7Skyg8jPF5wVMMYfNd1Xp23V9W44BOX1alNPV2RQ3lMtw9S7PqXXNkTF9NYW/z/xKoZ3PkARGRigPNElgdMvSfa4THCca4lRSOWvTRK2T61rgmuhigTr5mSbW4jvXKSTqvVQJjOI69kTjE7AD/gmM8vccPU28qfQm3am05aDIpy6meuiCD46cuoMzF1ztyakfxWdSx6fOJxVw6aYbQxS4+qq8QHDR5p7AUHnHKGe6H2Nu5S6YVD4m2ZT+jmG3qedXm/909RdXF9O8ql7H9nEU/2BKRrjiIl2Z4to0B5h0q9K363Tyja995lTfeut0rHuOjB276fgDksCwQRIYGUF1LoD+R4JSyS3kuII727aw8nVM/UwZ3bphaxcd7Xx9hUQns6xTcZ2qf6hOWTee1bJyjGonDbV/YwQiuvIUXXW6cBY+pmAr5SskKk2M+uYEk41xXyFx0drGs6mfywsKapLKN+hz9ZVNJ9viIZavKfSK8SOegN/iw2dBzLWZGInWskwfvWItHsr9l+rhha5+lJ0IHF1M82ohn8OLCtOcoZNPTWC44vOyPyzrUv5cRwKjfF2OATl9CujrPDDQH6+QqPqk4F+e2+QVkk5IAiMjuBxkyoVhIccW3Jl0UfVOaciSwJDfwKCMM9PEWpSVU0ho9CltnjueTcGoTgdX4KqOCfkNDD+42pNSP6otc8Zn2X51tmyb43zGtKuvVL7FXx2/gdGrp5DE9FOm8cPRK5ZPL8uJHWOZ4j7f/nLJ0tmieh3bx9nmgXL/9tMpJGWdyjEgp08B+Q2MKtY9PvFDrrFDTEgCIyO4HGTKhWEhp4ogwUc/SWDQ5fjwlQRGN51KIwmMuDYfY0HPWfiYxoQkMPxgszH1vq28JDDstDF8jaqXJDBoukoCQxIYtnoXkARG678kMNLI1vGXBEYnJIGRGXQLycGKeokix0Sj6p0CqfmHgtpHoX2ZaizY2tfV9rrtoKnAGQfltjJNBjYZ5QVuDJTrELtPubbC6d8QORzeVHqbDjre5e9i9a+uvE630PrmBl1/UEEdP9zx6UpgxNCJooeObzm4j62DTa8Y8YSvbi6ZXDvm0IX4Q1+9YtptOYERGxQ/WYaPLq4ERipQ/APVNsqL6HIZzvxEkZcCJp1i2TbFx/nUW237UF6xUNW6x8d35x47xEAfVHH+oJylrirDSMmKpnwaS9FP1y45gNNHIVnRVGOhnH0v8+Y8AS34pBynlHHmejJAHcsqjezAiGvzPk8UyvScJ7emMSE7MPxAtTFbeaotc8an6Ql6mS5EJ105G3+Vbzm4t9HG8DU6vWQHhl1X2wKXolcsn16WEzvGMo0H3/5yyXIlMGL7OI5/oIy1omxRzpTAoPjDUFv0hU6ncgzI6VNAdmBUse7xiR9yjR1iYkHVAt/whjdgfHwcAHDkkUfi7LPPxl//9V9jaGgI69atw/ve9z7Mzs7iggsuwKOPPoqRkRF8+tOfxlFHHVW1qpWj7FwpPywUS24hxxUkcBe5sfTLPYFB0U11wr4LpdhtUJ68yrwpk7Cagc4pgVGepIuylB/xLGf7Y7W7bmEbs09DAnZX/8a0ee541tG7Fj5l2uK78pjg6EGth66fOXJS2XssuGyMUr9YCQzTmCjuUfvYd0y7+krlq/65aGP4GlWvOo9RtbU9x45N/E10If6w4MnVK5ZPL8tJlcDQ1c+nv1yydLaoXsf2cRz/wPkRz4Ku104h8U1gmOpsssdyGY7eatm658iYvtrFn7sWjB1X5opKExgHDhwAAHz961+f++71r389Pv/5z+O5z30u/viP/xgPP/ww/vu//xsHDx7Et771LTzwwAO4+OKL8YUvfKFKVSvDffcN4wc/aF3v29d57z//s/W/GIgf+xgwNBRfh0L+wADw9NPARz/aTfPUU526XHQR8GweCr/8JXDiia3ru+7Slw/BL34B/NqvtT/ffDPw7FCqHfv3t/4X7fLP/wzcdpuedvfuNt311wObNtHlbNzYKedv/xZYtoytbhd07fgP/wBce23r+qGH2pncH/+4s29//vNOnQps2tRJNzU1jrGxcF3vvrt9vWGDeZz96EdtvaamWnT//d/AkUe2vi/b1Re/CNxwQ+v6gQc6eZUDrq99Dfh//8+/DoVsAPiv/2q1f8H7X/4FeOIJf95l/o884rbF++830//yl63/hX5//deY68enngKWL29d33kn3+a3bu3k/bnPAatXm+m3beum//GP2/d/9au2Dnv2dNL+0z8BjUb7u2eeadFu3drdv9/4RvcYsOGxxzrLf+ITwPBwy2cdf3zrux/8ADh4sJPu858H1qwx892+nUdfNX74w9b/gQFg585We27aBBx3XOv7738fmJkxl3/iCWDt2tb1PfeYx88997Svf/7zTjq1TwHgM5/ppC+joLv00tY8VcbGjcDzn9+6vvVW+pg+dKibfzGnAsCDD5p1ufpq4PHH29+r5X7xi7C5dPPmTlmq39u6lcd7amocv/pV20bvuINefv/+tg7XXNPy3SpMPqjsIy65BFi1qpt/Obi//HLgvvta1//xH226J59066zSq1B93KOPdsr7+MeBBUokvXdv+96117ZjJy6K+a48vz7wQJwYq5jHBgaAHTs6/Wch87rr2rFHgXvvbV8//jhNl4cfBhYuND/0AIC//3tgcpJfDxOeeaabv2prKsoxwf/9v91j4YknAPU5arlMcT0z02qTJ54Anve81vdlH/eTn3TTV4GNG4HnPrd1fdttLblle2w2afoUNlaOs444ov090Iprfvaz1nXRplwfpMY1QCvGu+iiTjlf+hLwne/Q+MXAo48Chx3Wur7//vh9+NOftmP88li7/PJOv1lG2Qc9+SSwePES/Pmfd/qq+Y5Kq/LTn/4U+/btwzvf+U5MT0/j3HPPxcGDB/G8Z6183bp1uPvuu7F161a8+tWvBgC89KUvxU8Ka7dgenoajSKimUe45JLluOUWYHi4icFB4Mgjd2JwcD9WrVqFxx8fxMqVszj11N247rql+D//J50eL3jBNI47bh++/e1xfOYzepply5o47bRduOGGCXzpS52z6jHH7MHevcO4994RPPRQfP1++7f3YNOm3TjxxJW4554F1kC1aixe3MTLX74LN900gWuuGTDSDQwAJ520C2vXjuL224dw++08OUuXttr/xhsn8E//ZJbDxeLFTaxevQPj4zNYunQFvvGNTt6/9Vv7MTQEXH/9oq6xsXx5q+5XXrkMJ554CEcfvR/XXTdWohsFECcNfPrpB/GCFxzCnXeOGscpABx11Axe+MI9uPbaiTm6Y46ZwgtfuBAPPTSM0dEmTj+91WdXXNFZ39e+dj+WLGniwQeX4Pjjd+FlL1uEV75yL265ZRzXXRf+1t1rXrMfY2NNXHPNYgwOAi95yS7cddcobr55CDffHMwe69cfwNKls/iXf1lsbSOVftmyWVx9dTf98uVtm//iF7ttfufOYdx33whr0V9gfLzVB//+7xP42tfc41lH/5KXHMIxxxzETTd1jofFi1t633zzBK6+ukV77LEzOP74vbj22raPO/ro3Tj99IU4/fR9uO22cXznO4PsIGjFilm8/OUtH/25z7W//9//ew8OHhzGPfeM4Mc/BsbGWvp/97sTuOwyd33Hxlp1+Pd/p9FXjaOPnsGJJ3a259q1LRu7997hjoWODv/zf+7F4OAQ7rprIR5+2Ez3ylcexAteMI27717SNT6XLm216b/92wS+8pWBDvrbbx/F2rW7sXPnFE4+eQVe9aqWDV97rdmGC/3vu294LkCnYNEi4OUv34lbbhnHv/5rN///9b/2Y/nyWaxZM4tdu0Zw2mn7cNdd47jppkHcdFMn7WmntXzcf/yH3cdRMDHRbp/HHx/ACSdM45hj7PO8Hi0ffswxe7B16wj+8z+HuxYVJhQ+7u67R3HLLUO45ZZuGpMPUm3+0kvNNlC0/223jeOGGwbnEtIAcPLJh3DssQdxyy209nzpS1s+BRjDMcdMYffuYfzoRyMdiaiVK1s2f/31S3HJJZ3lBwaAF71oF+65ZxS33jqEW291yzSh8FnABI47bi/27h3Ad7/bPQ/74phjZvBrv7YX//qv7fEwMAC88IW78MMfjuK224a0D2R+4zcO4MgjZ3Dvvd02acLv/M4+TE8P4LHHFuOkk3biOc8ZxZYtQzj99J343vcmcPnl8X3c6GjLh373uxNzcc1JJx3C0UcfADCOY4/dM+eDijnD5iN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+     },
+     "metadata": {}
+    }
+   ],
+   "source": [
+    "experiments = experiments.sort_values(by =['THRESHOLD']).reset_index(drop=True)\n",
+    "# df = experiments\n",
+    "cols = 1\n",
+    "rows = 1\n",
+    "cc_idx = 0\n",
+    "\n",
+    "# len(experiments)\n",
+    "# df = experiments.copy()\n",
+    "# print(df.head())\n",
+    "\n",
+    "while cc_idx<len(experiments):\n",
+    "    cc = experiments.iloc[cc_idx]['THRESHOLD']\n",
+    "    cc_label = experiments.iloc[cc_idx]['THRESHOLD']\n",
+    "#     secondary_label = experiments.iloc[cc_idx]['route_allocation']\n",
+    "    sub_experiments = experiments[experiments['THRESHOLD']==cc]\n",
+    "    cc_idx += len(sub_experiments)\n",
+    "    fig, axs = plt.subplots(ncols=cols, nrows=rows, figsize=(15*cols,7*rows))\n",
+    "    sub_experiments.reset_index(drop=False)\n",
+    "    for i, experiment in sub_experiments.iterrows():\n",
+    "        df = experiment['dataset'].copy()\n",
+    "#         print(df.head())\n",
+    "        plot_label = experiment['THRESHOLD']\n",
+    "        ax = axs\n",
+    "        title = 'Marketing Spend' + '\\n' + 'Scenario: ' + str(cc_label)  + ' THRESHOLD'\n",
+    "        ax.set_title(title)\n",
+    "        ax.set_ylabel('Dollars Spent ($)')\n",
+    "        colors = ['b','orange', 'g', 'magenta', 'r']\n",
+    "\n",
+    "#         ax.plot(df_j.timestep, df_j['j_wallet']['mean'],color = colors[0], label='j_wallet')\n",
+    "        ax.plot(df.timestep, df['signal'],color = colors[0], label='Signal')\n",
+    "\n",
+    "\n",
+    "\n",
+    "        ax.legend()\n",
+    "\n",
+    "        ax.set_xlabel('Timesteps')\n",
+    "        ax.grid(color='0.9', linestyle='-', linewidth=1)\n",
+    "\n",
+    "        plt.tight_layout()\n",
+    "        \n",
+    "fig.tight_layout(rect=[0, 0, 1, .97])\n",
+    "fig.patch.set_alpha(1)\n",
+    "display(fig)\n",
+    "plt.close()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Pool Volume through Adoption\n",
+    "The positive driving signal, coupled with positive repuation signal, drives the pool toward loyal adoption."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 17,
+   "metadata": {},
+   "outputs": [
+    {
+     "output_type": "display_data",
+     "data": {
+      "text/plain": "<Figure size 1080x504 with 1 Axes>",
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\n"
+     },
+     "metadata": {}
+    },
+    {
+     "output_type": "display_data",
+     "data": {
+      "text/plain": "<Figure size 1080x504 with 1 Axes>",
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\n"
+     },
+     "metadata": {}
+    }
+   ],
+   "source": [
+    "experiments = experiments.sort_values(by =['THRESHOLD']).reset_index(drop=True)\n",
+    "cols = 1\n",
+    "rows = 1\n",
+    "cc_idx = 0\n",
+    "\n",
+    "while cc_idx<len(experiments):\n",
+    "    cc = experiments.iloc[cc_idx]['THRESHOLD']\n",
+    "    cc_label = experiments.iloc[cc_idx]['THRESHOLD']\n",
+    "#     secondary_label = experiments.iloc[cc_idx]['route_allocation']\n",
+    "    sub_experiments = experiments[experiments['THRESHOLD']==cc]\n",
+    "    cc_idx += len(sub_experiments)\n",
+    "    fig, axs = plt.subplots(ncols=cols, nrows=rows, figsize=(15*cols,7*rows))\n",
+    "    sub_experiments.reset_index(drop=False)\n",
+    "    for i, experiment in sub_experiments.iterrows():\n",
+    "        df = experiment['dataset'].copy()\n",
+    "        \n",
+    "        df['unaware'] = df.pool.apply(lambda x: np.array(x.state['unaware']['pool']))\n",
+    "        df['aware'] = df.pool.apply(lambda x: np.array(x.state['aware']['pool']))\n",
+    "        df['adopted'] = df.pool.apply(lambda x: np.array(x.state['adopted']['pool']))\n",
+    "        df['loyal'] = df.pool.apply(lambda x: np.array(x.state['loyal']['pool']))\n",
+    "        df['churned'] = df.pool.apply(lambda x: np.array(x.state['churned']['pool']))\n",
+    "\n",
+    "        ax.set_ylabel('Count')\n",
+    "        colors = ['b','orange', 'g', 'magenta', 'r']\n",
+    "\n",
+    "        plot_label = experiment['THRESHOLD']\n",
+    "        ax = axs\n",
+    "        title = 'Marketing Spend' + '\\n' + 'Scenario: ' + str(cc_label)  + ' THRESHOLD'\n",
+    "        ax.set_title(title)\n",
+    "\n",
+    "        colors = ['b','orange', 'g', 'magenta', 'r']\n",
+    "\n",
+    "        ax.plot(df.timestep, df['unaware'],color = colors[0], label='Unaware')\n",
+    "        ax.plot(df.timestep, df['aware'],color = colors[1], label='Aware')\n",
+    "        ax.plot(df.timestep, df['adopted'],color = colors[2], label='Adopted')\n",
+    "        ax.plot(df.timestep, df['loyal'],color = colors[3], label='Loyal')\n",
+    "        ax.plot(df.timestep, df['churned'],color = colors[4], label='Churned')\n",
+    "                \n",
+    "        ax.legend()\n",
+    "\n",
+    "        ax.set_xlabel('Timesteps')\n",
+    "        ax.grid(color='0.9', linestyle='-', linewidth=1)\n",
+    "\n",
+    "        plt.tight_layout()\n",
+    "        \n",
+    "fig.tight_layout(rect=[0, 0, 1, .97])\n",
+    "fig.patch.set_alpha(1)\n",
+    "display(fig)\n",
+    "plt.close()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 18,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# param_plot(df, 'timestep', 'unaware', 'threshold', save_plot = True, x_label = 'Timestep', y_label = 'Pool Count')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 19,
+   "metadata": {
+    "scrolled": false
+   },
+   "outputs": [],
+   "source": [
+    "# param_plot(df, 'timestep', 'aware', 'threshold', save_plot = True, x_label = 'Timestep', y_label = 'Pool Count')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 20,
+   "metadata": {
+    "scrolled": false
+   },
+   "outputs": [],
+   "source": [
+    "# param_plot(df, 'timestep', 'adopted', 'threshold', save_plot = True, x_label = 'Timestep', y_label = 'Pool Count')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 21,
+   "metadata": {
+    "scrolled": false
+   },
+   "outputs": [],
+   "source": [
+    "# param_plot(df, 'timestep', 'loyal', 'threshold', save_plot = True, x_label = 'Timestep', y_label = 'Pool Count')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 22,
+   "metadata": {
+    "scrolled": false
+   },
+   "outputs": [],
+   "source": [
+    "# param_plot(df, 'timestep', 'churned', 'threshold', save_plot = True, x_label = 'Timestep', y_label = 'Pool Count')"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Repuation Signal at each state of adoption\n",
+    "The mean repuation internal signal of the pool at each adoption state."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 23,
+   "metadata": {},
+   "outputs": [
+    {
+     "output_type": "display_data",
+     "data": {
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\n"
+     },
+     "metadata": {}
+    },
+    {
+     "output_type": "display_data",
+     "data": {
+      "text/plain": "<Figure size 1080x504 with 1 Axes>",
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\n"
+     },
+     "metadata": {}
+    },
+    {
+     "output_type": "display_data",
+     "data": {
+      "text/plain": "<Figure size 1080x504 with 1 Axes>",
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\n"
+     },
+     "metadata": {}
+    }
+   ],
+   "source": [
+    "experiments = experiments.sort_values(by =['THRESHOLD']).reset_index(drop=True)\n",
+    "cols = 1\n",
+    "rows = 1\n",
+    "cc_idx = 0\n",
+    "\n",
+    "while cc_idx<len(experiments):\n",
+    "    cc = experiments.iloc[cc_idx]['THRESHOLD']\n",
+    "    cc_label = experiments.iloc[cc_idx]['THRESHOLD']\n",
+    "#     secondary_label = experiments.iloc[cc_idx]['route_allocation']\n",
+    "    sub_experiments = experiments[experiments['THRESHOLD']==cc]\n",
+    "    cc_idx += len(sub_experiments)\n",
+    "    fig, axs = plt.subplots(ncols=cols, nrows=rows, figsize=(15*cols,7*rows))\n",
+    "    sub_experiments.reset_index(drop=False)\n",
+    "    for i, experiment in sub_experiments.iterrows():\n",
+    "        df = experiment['dataset'].copy()\n",
+    "        \n",
+    "        df['unaware'] = df.pool.apply(lambda x: np.array(x.state['unaware']['reputation']))\n",
+    "        df['aware'] = df.pool.apply(lambda x: np.array(x.state['aware']['reputation']))\n",
+    "        df['adopted'] = df.pool.apply(lambda x: np.array(x.state['adopted']['reputation']))\n",
+    "        df['loyal'] = df.pool.apply(lambda x: np.array(x.state['loyal']['reputation']))\n",
+    "        df['churned'] = df.pool.apply(lambda x: np.array(x.state['churned']['reputation']))\n",
+    "\n",
+    "        ax.set_ylabel('Count')\n",
+    "        colors = ['b','orange', 'g', 'magenta', 'r']\n",
+    "\n",
+    "        plot_label = experiment['THRESHOLD']\n",
+    "        ax = axs\n",
+    "        title = 'Marketing Spend' + '\\n' + 'Scenario: ' + str(cc_label)  + ' THRESHOLD'\n",
+    "        ax.set_title(title)\n",
+    "\n",
+    "        colors = ['b','orange', 'g', 'magenta', 'r']\n",
+    "\n",
+    "        ax.plot(df.timestep, df['unaware'],color = colors[0], label='Unaware')\n",
+    "        ax.plot(df.timestep, df['aware'],color = colors[1], label='Aware')\n",
+    "        ax.plot(df.timestep, df['adopted'],color = colors[2], label='Adopted')\n",
+    "        ax.plot(df.timestep, df['loyal'],color = colors[3], label='Loyal')\n",
+    "        ax.plot(df.timestep, df['churned'],color = colors[4], label='Churned')\n",
+    "                \n",
+    "        ax.legend()\n",
+    "\n",
+    "        ax.set_xlabel('Timesteps')\n",
+    "        ax.grid(color='0.9', linestyle='-', linewidth=1)\n",
+    "\n",
+    "        plt.tight_layout()\n",
+    "        \n",
+    "fig.tight_layout(rect=[0, 0, 1, .97])\n",
+    "fig.patch.set_alpha(1)\n",
+    "display(fig)\n",
+    "plt.close()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 24,
+   "metadata": {},
+   "outputs": [
+    {
+     "output_type": "display_data",
+     "data": {
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+     "metadata": {}
+    },
+    {
+     "output_type": "display_data",
+     "data": {
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nkiRJqcHQQ5IktTqxWGy3+4uKihgxYgT9+vXj008/5Z133mHRokWUl5dz7733smrVKoYNG8Y3v/lNYrEYQRBQVFREjx49mD59OrFYjAceeIBevXrxwgsvsHDhQgYMGMB7771Hz549G3wuSZKUWgw9JElSyhk7diyTJk2ioqKCrVu3MmHCBA4//HB+//vf8/TTT9OuXTtGjRoFhGdvXHvttdx///2cfPLJnH/++VRWVu5wRZdZs2bx8ssvk0wmufnmm+nWrVu9zyVJklKLV2+RJElt2rhx4xg6dCiDBw+OuhRJktTEMqIuQJIkSZIkqTl4pockSZIkSUpLnukhSZIkSZLSkqGHJEmSJElKS4YekiRJkiQpLRl6SJIkSZKktGToIUmSJEmS0tL/AOyxF/mhOYSZAAAAAElFTkSuQmCC\n"
+     },
+     "metadata": {}
+    },
+    {
+     "output_type": "display_data",
+     "data": {
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\n"
+     },
+     "metadata": {}
+    }
+   ],
+   "source": [
+    "experiments = experiments.sort_values(by =['THRESHOLD']).reset_index(drop=True)\n",
+    "cols = 1\n",
+    "rows = 1\n",
+    "cc_idx = 0\n",
+    "\n",
+    "while cc_idx<len(experiments):\n",
+    "    cc = experiments.iloc[cc_idx]['THRESHOLD']\n",
+    "    cc_label = experiments.iloc[cc_idx]['THRESHOLD']\n",
+    "#     secondary_label = experiments.iloc[cc_idx]['route_allocation']\n",
+    "    sub_experiments = experiments[experiments['THRESHOLD']==cc]\n",
+    "    cc_idx += len(sub_experiments)\n",
+    "    fig, axs = plt.subplots(ncols=cols, nrows=rows, figsize=(15*cols,7*rows))\n",
+    "    sub_experiments.reset_index(drop=False)\n",
+    "    for i, experiment in sub_experiments.iterrows():\n",
+    "        df = experiment['dataset'].copy()\n",
+    "        \n",
+    "#         df['unaware'] = df.pool.apply(lambda x: np.array(x.state['unaware']['reputation']))\n",
+    "        df['aware'] = df.pool.apply(lambda x: np.array(x.state['aware']['reputation']))\n",
+    "        df['adopted'] = df.pool.apply(lambda x: np.array(x.state['adopted']['reputation']))\n",
+    "        df['loyal'] = df.pool.apply(lambda x: np.array(x.state['loyal']['reputation']))\n",
+    "        df['churned'] = df.pool.apply(lambda x: np.array(x.state['churned']['reputation']))\n",
+    "\n",
+    "        ax.set_ylabel('Count')\n",
+    "        colors = ['b','orange', 'g', 'magenta', 'r']\n",
+    "\n",
+    "        plot_label = experiment['THRESHOLD']\n",
+    "        ax = axs\n",
+    "        title = 'Marketing Spend' + '\\n' + 'Scenario: ' + str(cc_label)  + ' THRESHOLD'\n",
+    "        ax.set_title(title)\n",
+    "\n",
+    "        colors = ['b','orange', 'g', 'magenta', 'r']\n",
+    "\n",
+    "#         ax.plot(df.timestep, df['unaware'],color = colors[0], label='Unaware')\n",
+    "        ax.plot(df.timestep, df['aware'],color = colors[1], label='Aware')\n",
+    "        ax.plot(df.timestep, df['adopted'],color = colors[2], label='Adopted')\n",
+    "        ax.plot(df.timestep, df['loyal'],color = colors[3], label='Loyal')\n",
+    "        ax.plot(df.timestep, df['churned'],color = colors[4], label='Churned')\n",
+    "                \n",
+    "        ax.legend()\n",
+    "\n",
+    "        ax.set_xlabel('Timesteps')\n",
+    "        ax.grid(color='0.9', linestyle='-', linewidth=1)\n",
+    "\n",
+    "        plt.tight_layout()\n",
+    "        \n",
+    "fig.tight_layout(rect=[0, 0, 1, .97])\n",
+    "fig.patch.set_alpha(1)\n",
+    "display(fig)\n",
+    "plt.close()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### More to Explore\n",
+    "1. There is no filter from the input driving signal to the unaware internal reputation signal. Or I should say a naive filter where a postive marketing signal results in a unitary uptick in reputation for the unaware pool.\n",
+    "2. The threshold was set globally for this simulation. However, the threshold is available to be set for each state of adoption as well as be updated dynamically throughout the simulation, using the set_threshold method in the Adoption_Pool class. \n",
+    "2. A separate 'experience' signal can be integrated to the reputation signal to influence and determine the adoption as members move through the adopted, loyal, and churned states.\n",
+    "3. Negative experience signals have not yet tested, but I expect there will be signals where the population could driven towards churned state and others where steady-state flow can be achieved.\n",
+    "4. Experience signals can be incorporated (or estimated) through KPIs if this were part of a larger model.\n",
+    "5. Development for this model to become the driving signal module to be integrated into other model configurations"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "#### Product Metric"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 25,
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [
+    {
+     "output_type": "error",
+     "ename": "KeyError",
+     "evalue": "0",
+     "traceback": [
+      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
+      "\u001b[1;31mKeyError\u001b[0m                                  Traceback (most recent call last)",
+      "\u001b[1;32m<ipython-input-25-c47781c881f0>\u001b[0m in \u001b[0;36m<module>\u001b[1;34m\u001b[0m\n\u001b[1;32m----> 1\u001b[1;33m \u001b[0mprint\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mdf\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mpool\u001b[0m\u001b[1;33m[\u001b[0m\u001b[1;36m0\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m",
+      "\u001b[1;32m~\\AppData\\Local\\Continuum\\anaconda3\\lib\\site-packages\\pandas\\core\\series.py\u001b[0m in \u001b[0;36m__getitem__\u001b[1;34m(self, key)\u001b[0m\n\u001b[0;32m    869\u001b[0m         \u001b[0mkey\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mcom\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mapply_if_callable\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mkey\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    870\u001b[0m         \u001b[1;32mtry\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 871\u001b[1;33m             \u001b[0mresult\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mindex\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mget_value\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mself\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mkey\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m    872\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    873\u001b[0m             \u001b[1;32mif\u001b[0m \u001b[1;32mnot\u001b[0m \u001b[0mis_scalar\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mresult\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
+      "\u001b[1;32m~\\AppData\\Local\\Continuum\\anaconda3\\lib\\site-packages\\pandas\\core\\indexes\\base.py\u001b[0m in \u001b[0;36mget_value\u001b[1;34m(self, series, key)\u001b[0m\n\u001b[0;32m   4403\u001b[0m         \u001b[0mk\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_convert_scalar_indexer\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mk\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mkind\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;34m\"getitem\"\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m   4404\u001b[0m         \u001b[1;32mtry\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m-> 4405\u001b[1;33m             \u001b[1;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_engine\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mget_value\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0ms\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mk\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mtz\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mgetattr\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mseries\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mdtype\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;34m\"tz\"\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;32mNone\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m   4406\u001b[0m         \u001b[1;32mexcept\u001b[0m \u001b[0mKeyError\u001b[0m \u001b[1;32mas\u001b[0m \u001b[0me1\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m   4407\u001b[0m             \u001b[1;32mif\u001b[0m \u001b[0mlen\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mself\u001b[0m\u001b[1;33m)\u001b[0m \u001b[1;33m>\u001b[0m \u001b[1;36m0\u001b[0m \u001b[1;32mand\u001b[0m \u001b[1;33m(\u001b[0m\u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mholds_integer\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m \u001b[1;32mor\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mis_boolean\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
+      "\u001b[1;32mpandas\\_libs\\index.pyx\u001b[0m in \u001b[0;36mpandas._libs.index.IndexEngine.get_value\u001b[1;34m()\u001b[0m\n",
+      "\u001b[1;32mpandas\\_libs\\index.pyx\u001b[0m in \u001b[0;36mpandas._libs.index.IndexEngine.get_value\u001b[1;34m()\u001b[0m\n",
+      "\u001b[1;32mpandas\\_libs\\index.pyx\u001b[0m in \u001b[0;36mpandas._libs.index.IndexEngine.get_loc\u001b[1;34m()\u001b[0m\n",
+      "\u001b[1;32mpandas\\_libs\\hashtable_class_helper.pxi\u001b[0m in \u001b[0;36mpandas._libs.hashtable.Int64HashTable.get_item\u001b[1;34m()\u001b[0m\n",
+      "\u001b[1;32mpandas\\_libs\\hashtable_class_helper.pxi\u001b[0m in \u001b[0;36mpandas._libs.hashtable.Int64HashTable.get_item\u001b[1;34m()\u001b[0m\n",
+      "\u001b[1;31mKeyError\u001b[0m: 0"
+     ]
+    }
+   ],
+   "source": [
+    "print(df.pool[0])"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 26,
+   "metadata": {
+    "scrolled": false
+   },
+   "outputs": [
+    {
+     "output_type": "display_data",
+     "data": {
+      "text/plain": "<Figure size 1080x504 with 1 Axes>",
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efvvtjBw5ko8//rjk2pIlSxg1ahS33nrrwYf/xq5du7j77rvp3bs3lSpVOuTnS5JU3rm8RZKkCiwjI4O//OUvPPzww2zcuJFKlSpRtWpVRo4cSWZmJkDJnh8Axx57LCNHjiQtLY277rqLW265hUgkQkJCAmPHjt1nqcb/Ov744znrrLP42c9+RlJSEs2bN+e4445j9erVJCUl7fd5Q4cO5Z577qFbt24UFhZy5plncv311wPsdyPT2rVrc99993HTTTdRWFhIo0aNGD16NBAchzt06NB9TlKJhsTERIYNG8Y111zDL37xC+D79+SIj49n1qxZ/O53vyMUCtGrVy9CoRDhcJhWrVrxyCOPHPTv7Ny5M6NHj+bRRx9l06ZNhMNh6taty+jRo/nJT35Sct+MGTN4/vnnS34+/vjjmTZtGgC33norycnJxMfHU1xczHnnnVfy95AkKdaEIv+dkypJkiRJkhRDXN4iSZIkSZJikqWHJEmSJEmKSZYekiRJkiQpJll6SJIkSZKkmOTpLd/4+OOPK+RRbUVFRSQk+GdUbHJ8K5Y5vhXLHN+KdY5xxbKKOr7z8/M55ZRTvnO94r2TI6RSpUq0aNEi2jEOWXZ2Nunp6dGOIR0Rjm/FMse3YpnjW7HOMa5YVlHH97Jly773ustbJEmSJElSTLL0kCRJkiRJMcnSQ5IkSZIkxST39PgBhYWFrFu3jr1790Y7yn4VFxezY8eOqGZITk6mQYMGJCYmRjWHJEmSJEnfZunxA9atW0fVqlVp0qQJoVAo2nG+V0FBAUlJSVH7/ZFIhK1bt7Ju3ToyMjKilkOSJEmSpP/l8pYfsHfvXmrXrl1uC4/yIBQKUbt27XI9G0aSJEmSdHSy9DgAC48D8zOSJEmSJJVHlh6SJEmSJCkmWXpUEOPGjaNjx47k5+dHO4okSZIkSRWCpUcFMXv2bC688EJefvnlaEeRJEmSJKlC8PSWg5U1EbImlO5rZl4NmX0PeNvChQtp1KgRvXr1YuDAgbRo0YJHHnmEJ554gldeeYUJEybw0ksvsXjxYl588UVuuOEG7rjjDvLz89mxYwc33HAD55xzDhdddBFNmjQhKSmJO++8kz/+8Y9s374dgKFDh3L88ceX7vuTJEmSJCmKLD0qgJkzZ9KzZ08yMzNJSkqioKCADRs2kJ+fz4IFCwiFQnz99de8+eabnHvuuWRlZdG/f39OP/10PvroI8aMGcM555xDXl4ev/vd72jZsiUPPPAAP/nJT7jyyitZtWoVt99+O1OnTo32W5UkSZIkqdRYehyszL4HNSujtO3cuZP58+ezbds2Jk2aRE5ODpMnT6Zjx44sXLiQjRs30q1bN959910WL17MzTffzKpVqxg7dizPPvssoVCIoqKiktfLyMgA4Msvv+T999/n1VdfBWDXrl1l/t4kSZIkSTqSLD3KuZdeeonLLruMQYMGAbBnzx66du3KI488wpgxY2jevDkdO3ZkxIgRNG7cmMTERB599FF69uxJ586dee6553j++edLXi8uLtjGJTMzk4svvphu3bqxdetWZs6cGZX3J0mSJEnSkeJGpuXczJkz6d69e8nPlStX5rzzzuPDDz9k5cqVdOjQgRNOOIH169dz3nnnAXDBBRdw7733cuWVV/Luu++W7Nvxbddffz2vvvoqffr04ZprrqFZs2Zl9p4kSZIkSSoLoUgkEol2iPJg2bJltGjR4oDXypuCggKSkpKiHaNCfFaqeLKzs0lPT492DOmIcHwrljm+Fesc44plFXV87+87qTM9JEmSJEk62oWLYOfnEAlHO0mpck8PSZIkSZKORpEIbP0AVj0Da6bD3s0ktHsNqB/tZKXG0kOSJEmSpKPJri+DomPVFMj5CuIqQf1ukNGXoviTop2uVFl6SJIkSZIU6/ZshNXTgrJj22IgBGlnw4lDoOGlkFQ9uC87O6oxS5ulhyRJkiRJsahwN6x7AVZOhk1vBPt11GwLbf4EjXtBlXrRTnjEWXpIkiRJkhQrwoWQ/Xowo2PdC1C8B1KaQMvboUlvqH50nbrp6S0VxLhx4+jYsSP5+fnfeWzq1KmMGTPmkF/zn//8J5s2bTqoe+fPn8/gwYMP+XdIkiRJko6wSAS+fh8W/R88Xw/eugiyX4PMfnDuO3BxFpx8z1FXeIClR4Uxe/ZsLrzwQl5++eVSe82JEyeSk5NTaq8nSZIkSSpDu76Ef4+A2c3g9Q6Q9bdgn45OL0GPbDjtcTj2DAiFop00alzecpAmfjKRCUsmlOprXt3mavqe3PeA9y1cuJBGjRrRq1cvBg4cyKWXXsrixYsZOXIkVatWJSEhgVNOOQWACRMm8PLLL5OQkEC7du0YOHAgY8aMISsri61bt7Jr1y6GDh1KTk4Oy5YtY9CgQUyZMoXp06czZ84cQqEQF154IX379mXFihUMGTKEypUrU7lyZapXr16q71+SJEmSdIj2bPrWhqSLgBDU7QqthgYbkiZWi3bCcqXMSo/CwkIGDx7M+vXriYuL4+677yYhIYHBgwcTCoVo1qwZI0aMIC4ujscee4x58+aRkJDAkCFDaN26NatXrz7seyuqmTNn0rNnTzIzM0lKSuKTTz7hvvvu409/+hP169fn3nvvBeCLL77g1VdfZdq0aSQkJHDjjTfyr3/9C4Dk5GQmTpzI8uXL+cMf/sBLL71EixYtuOOOO1izZg2vvPIKU6ZMIRQK0a9fPzp27Mijjz7KTTfdxBlnnMG4cePIysqK5scgSZIkSUenwpxgf45Vk2HjGxAphpptoM2D32xIWj/aCcutMis93nrrLYqKipg2bRoLFizgkUceobCwkAEDBnD66aczfPhw5s6dS7169fjggw+YOXMm2dnZ3HjjjTz33HPcd999h3Xvueeee1j5+57c96BmZZS2nTt3Mn/+fLZt28akSZPIyclh8uTJbNq0iYyMDAoKCmjbti1r1qwhKyuLk08+mcTERADatWvH8uXLAfjJT34CQLNmzfj666/3+R1ffvklGzZsoF+/fiW/c82aNSxfvpzWrVsD0LZtW0sPSZIkSSor4ULI/ue3NiTNg5TG0HLQNxuStox2wgqhzEqPjIwMiouLCYfD5OTkkJCQwMcff0z79u0B6NSpEwsWLCAjI4OOHTsSCoWoV68excXFbNu2jaVLlx7WvYdbekTLSy+9xGWXXcagQYMA2LNnD127diU5OZkVK1bQsGFDPv30U6pXr05mZiZPPfUURUVFxMfHs2jRIi655BI+//xzli5dSvfu3fnyyy9JS0sDIBQKEYlEyMzM5LjjjuPJJ58kFArx9NNP07x5czIzM1myZAmdOnXis88+i+bHIEmSJEmxLxKBrR8EMzpWT4f8LZBUEzL6QJOr4NifQqjirmKIhjIrPapUqcL69ev52c9+xvbt2/nrX//KokWLCH2zoUpKSgq7d+8mJyeHGjVqlDzvv9cjkchh3XsgRUVFZGdn73OtuLiYgoKCw37vh2PGjBmMHDmyJEd8fDznnHMOaWlp3HbbbaSkpFClShVSU1PJyMjg3HPPpVevXoTDYdq0aUOnTp1YunQpS5cupW/fvuzZs4fhw4dTUFBA69atGThwIOPGjaN9+/b06tWLgoICTjrpJGrWrMmQIUO49dZbefLJJ6lZsyZJSUn7/TyKi4u/8/lJpcFxpVjm+FYsc3wr1jnGVZri87KovGkWlTc9T8KelUTiKrG39nnsSetBfu2zIS4JioGNB3f65uGKpfFdZqXH008/TceOHfnDH/5AdnY2v/rVrygsLCx5PDc3l2rVqpGamkpubu4+16tWrbrPnhw/5t4DSUhIID09fZ9rO3bsICkp6Ue939Iye/bs71y76667ALjhhhsoKCjYJ+O1117Ltddeu8/98fHxXHTRRVxxxRX7XL/11lu59dZbAbjuuuu47rrr9nm8fv36TJ069aByxsfHf+fzkw5Xdna240oxy/GtWOb4VqxzjKtU7N0czOZYNTmY3UEI0rpA62GEGl5K5aTqVI5CrIo6vnfs2PG918tsXky1atWoWrUqANWrV6eoqIiWLVuycOFCAObPn0+7du1o27Yt77zzDuFwmA0bNhAOh6lVq9Zh3ytJkiRJUlQV5cLKZ+BfF8Lz9eDDmyBcAG0egEvWQte50LQ/JHlyZmkps5ke/fr1Y8iQIVx55ZUUFhZy880306pVK4YNG8ZDDz1EZmYm559/PvHx8bRr147LL7+ccDjM8OHDARg0aNBh3Xs0u/HGG6MdQZIkSZKOTuGi4MSVVZODDUmLcqFKI2gxMNiQtEaraCeMaaFIJBKJdojyYNmyZbRo0eKA18qb/13eEi0V4bNSxVNRp9ZJB8PxrVjm+Fasc4zrgCIR2LooOHllzbRgKUtiDWj8y6DoOLZjud2QtKKO7/19Jy2zmR6SJEmSJMW03V8FRceqZ2D38mAD0vrdgqKj3oUQXynaCY86lh6SJEmSJP1Ye7d8a0PShUAI6nSGloOg4WWQVOOAL6Ejx9JDkiRJkqRDUZQL614MZnRkvwaRYqjRGk4ZDY2vgJSG0U6ob5TPRUQqsXDhQm6++eZSfc3Bgwczf/78Un1NSZIkSYpp4SLY8Bq82wdmpcG7vWHHv6HFrXDhv+HCT6DlbRYe5YwzPSRJkiRJ+j6RCGxbHMzoWD0N9m6CxOrBbI4mV0GdM8vthqQKWHocrInAhFJ+zauBvof+tAULFvDII49QqVIlqlWrxqhRo3jyySdJS0ujd+/e7Ny5k/79+zNz5kyGDx/Oxo0b2b59O506dWLAgAGl/CYkSZIkKcbkZMHKZ4J9OnZ/GWxIWu/nkHHVNxuSJkc7oQ6SpUcFE4lEGDZsGFOnTiUtLY0JEyYwduxYrrzySm655RZ69+7NnDlz6NatG9nZ2Zxyyin07NmT/Px8Sw9JkiRJ2p/8bbBmBqycBF+/G1yr0zlYvtLoF5BUM7r59KNYehysvvyoWRmlbfv27aSmppKWlgbAqaeeypgxY2jYsCEpKSl89dVXzJ49m8cff5ykpCQ+/fRT3n//fVJTUykoKIhyekmSJEkqR4rzYcPLQdGx4WUIF0L1lnDyfdDkSkhpFO2EOkyWHhVMzZo1ycnJYfPmzdSpU4fFixfTpEkTAH75y18yduxY0tLSqFWrFhMnTqRq1arcddddrF69mhkzZhCJRKL7BiRJkiQpmiJh2PIurJoEq2dA4Q5IToNm/wcZfaDmKRAKRTulSomlRwWwYMECLr300pKfr7vuOm688UZCoRBVq1Zl9OjRAJxzzjncddddPPDAAwB06NCBW265hQ8//JDKlSvTuHFjNm/eHJX3IEmSJElRtesLWDk52KcjdxXEV4GGPaBJH6jbFeL8ehyL/KuWc6effjoffPDBd65ffvnlABQUFJCUlARAcXEx9evX54wzzgCgWbNmzJ49+zvPHTVq1BFMLEmSJEnlxN4twakrKyfBtkXBSStpXaH1XdCgBySmRjuhjjBLjxjx0UcfMWLECAYMGEBcnEcmSZIkSTpKFe2B9S8FRUf2PyBSDDVOhjYPBkfNVqkX7YQqQ5YeMaJt27bfO6tDkiRJkmJeJAyb3wqKjjXPQtFuqFwfTvhDcMxsjZOinVBRYukhSZIkSaqYdiwNNiRd9QzkrYOE1OB42SZ9guNm4+KjnVBRZukhSZIkSao49mTDqqlB2bH9YwjFQ/r5cMoD0OBiSKgS7YQqRyw9JEmSJEnlW1EurH0+OHll4z+D5Sy12sGpj0LjXpBcJ9oJVU5ZekiSJEmSyp9wMWyaGxwzu25WUHykNIaWt0OTq6D6CdFOqArA0qMCWL58OQ888AB79uwhLy+Pzp070759e6ZPn87o0aPLLMf8+fN55ZVXPPJWkiRJ0pERicCOT4KiY/WUYClLYnVofCVk9IFjzwiOnZUOkqVHObdr1y5uueUWxowZQ5MmTSguLub3v/89xx57bLSjSZIkSVLpyFsHq6YEp6/s/AziEqHehcGGpPV/DvHJ0U6oCsrS42BNnAgTJpTua159NfTt+4O3zJ07l9NPP50mTZoAEB8fz+jRo1myZAkzZ87k+uuvZ8eOHXTp0oUbb7yRPn36cMcdd9C0aVOmTlES7fUAACAASURBVJ3K119/TY8ePfjtb39LjRo16NSpE/Pnz+eEE05g+fLl5OTk8Oijj1K/fn0mTZrEnDlzCIVCXHjhhfTt25cVK1YwZMgQKleuTOXKlalevXrpfgaSJEmSjk6Fu2DtrKDo2PQvIALHdIDTHodGv4RKtaOdUDHA0qOc27x5Mw0bNtznWkpKComJieTn5/PnP/+Z+Ph4zjrrLG688cb9vs6WLVt47rnnSEpKYv78+bRu3Zo//vGPPPzww7z88sucffbZvPLKK0yZMoVQKES/fv3o2LEjjz76KDfddBNnnHEG48aNIysr60i/ZUmSJEmxKlwI2f8MTl5Z9yIU74HUpnDSiGCfjqpNo51QMcbS42D17XvAWRlHQr169fjPf/6zz7W1a9eyaNEimjVrRlJSEklJSSQkfPdPGYlESv65QYMGJCUllfzcsmVLAOrWrcvXX3/Nl19+yYYNG+jXrx8AO3fuZM2aNSxfvpzWrVsD0LZtW0sPSZIkSYcmEoFtHwYzOlZPhfwtwSyOzP7BPh21T4dQKNopFaPcAaac69KlC2+//TZr1qwBoLCwkFGjRlGzZk1C3/M/DElJSWzZsgVgn7IkLu6H/9SZmZkcd9xxTJw4kUmTJnHppZfSvHlzMjMzWbJkCQCfffZZab0tSZIkSbEuZxV8di+83BJeOw2+egLqdIZOL8IlG+C0v8AxP7Hw0BHlTI9yLjU1lVGjRjF06FAikQi5ubl06dKFpk2bsnjx4u/c37dvX+666y7S09OpU+fgz6o+4YQT6NChA1dccQUFBQW0bt2atLQ0RowYwc0338zf/vY3atWqRaVKlUrz7UmSJEmKJQU7YM3MYFbHlreDa3U6wQl/gEa/gKQa0c2no04o8u01EEexZcuW0aJFiwNeK28KCgr2WbYSLRXhs1LFk52dTXp6erRjSEeE41uxzPGtWOcY/x/FBZD9alB0rJ8N4QKodkKwdKVJb0hpHO2EOgQVdXzv7zupMz0kSZIkSYcmEoGtHwRFx5ppkL8VkutAs98GZUfNti5bUblg6SFJkiRJOji5q2HlZFg5EXZ/CfHJ0OASyOgLdc+FOL9iqnxxRB5AJBL53g1D9f+5QkqSJEmKYYW7YM2zQdGx+a3gWp2zoOVgaHQZJFaLajzph1h6/IDk5GS2bt1K7dq1LT72IxKJsHXrVpKTk6MdRZIkSVJpCRfBxn8GRce6F6B4L1RtDq3vgYyr3KdDFYalxw9o0KAB69atKzkCtjwqLi4mPj4+qhmSk5Np0KBBVDNIkiRJKgXbPwmKjlXPwN5NkFQLMn8d7NNRu737dKjCsfT4AYmJiWRkZEQ7xg+qqDvrSpIkSSon8jbA6ilB2bHjU4hLhHoXBft01LsQ4qN/WqT0Y1l6SJIkSdLRpigX1r4AqyYFy1giYaj9EzjtcWj0S6hUO9oJpVJh6SFJkiRJR4NIONiIdOXEYGPSohxIaQIn/hGaXAXVmkc7oVTqLD0kSZIkKZbtXAYrJ8GqyZC3NjhtpfHlwfKVYztCKC7aCaUjxtJDkiRJkmLN3i2welpQdmxbBKF4SD8f2jwA9S+GhMrRTiiVCUsPSZIkSYoFxfmwfk6wfGXDKxApgpqnQNuHoPEVULlutBNKZc7SQ5IkSZIqqkgEvn4vKDpWT4fCHVA5HU64OThmtsZJ0U4oRZWlhyRJkiRVNDlZwdKVlZMgZwXEV4GGlwZFR1pXiIuPdkKpXLD0kCRJkqSKoGAHrJkRFB1b3gFCkNYFWg0LCo/EqtFOKJU7lh6SJEmSVF6FCyH7tWD5yrqXIJwP1U6Ak++DJr0hpWG0E0rlmqWHJEmSJJUnkQhs/wiyJsLqqZC/BSodA8f9JjhmttapEApFO6VUIVh6SJIkSVJ5kLsWVj0DqybBzv9AXFJwvGxGX6h3AcQlRjuhVOFYekiSJElStBTmwNpZwfKVTW8CETj2DDjtr9D4l5BUM9oJpQrN0kOSJEmSylK4OCg4Vk4MCo/iPEjJgFbDIeMqqHpctBNKMcPSQ5IkSZLKwo6lQdGxajLs2QCJ1YOSI6MvHPNT9+mQjgBLD0mSJEk6UvZuCTYjzfp7sDlpKB7SfwanPgL1u0F8crQTSjHN0kOSJEmSSlNxAWx4GVb+Hda/DJEiqNkG2j4MTa6E5DrRTigdNSw9JEmSJOlwRSKw7cOg6Fg9FfK3QnIaHP97yPwV1Dgp2gmlo5KlhyRJkiT9WHnrgz06Vk785pjZStCgO2T8CtLPgzi/cknR5H8DJUmSJOlQFOfBqinBPh2b3oBIGI7p4DGzUjlk6SFJkiRJBxKJwJZ3YOXfSVs1HYpzoEojaDkEMvpAtebRTijpe1h6SJIkSdL+5KwMlq6snAg5WZCQwt5jf06VE6+HOp0hFBfthJJ+gKWHJEmSJH1b4S5YMzNYvrLlbSAEaV2g1QhoeCk7v95NlbT0aKeUdBAsPSRJkiQpXAyb5gZFx7rnoXgPVG0Gre8Jlq+kNPrWzbujFlPSobH0kCRJknT02rksOGZ25WTYsx4SawQnr2T0hWN+AqFQtBNKOgyWHpIkSZKOLvlbYfW0YFbHtkUQiof0C+DUh6F+N4hPjnZCSaXE0kOSJElS7AsXwoZXgqJjw5zg5xqtoc2foMmVULlutBNKOgIsPSRJkiTFpkgEti8Jio7VUyD/a6h0LDS7ATJ/BTVPiXZCSUeYpYckSZKk2LInG1Y9E5QdOz+DuCSof3FQdKSfD3GJ0U4oqYxYekiSJEmq+Ir3wroXg6Jj42sQCUPt0+G0x6HR5VCpVrQTSooCSw9JkiRJFVMkAl+/GxQda2ZA4U6o0gBaDApOX6l+QrQTSooySw9JkiRJFUvuasiaCCsnQs5XEF8FGl4aLF+p0wXi4qOdUFI5YekhSZIkqfwr3A1rnwtmdWyeF1yrcxa0+iM0vAwSq0YznaRyytJDkiRJUvkUCcOmfwVFx9rnoDgPUpvCSXdBRh9IbRLthJLKOUsPSZIkSeXLri9h5d9h5STIWwuJ1aBJ72D5yjE/hVAo2gklVRCWHpIkSZKir2BHsBlp1tPw9XsQioO658Ep90OD7pBQOdoJJVVAlh6SJEmSoiNcDJvmBkXHuueDY2ertwyKjia9oUq9aCeUVMFZekiSJEkqW7u+CPbpWDkR9qyHpJqQeTVk9oNa7Vy+IqnUWHpIkiRJOvIKdsKa6fsuX0m/AE59GOp3g/jkaCeUFIMsPSRJkiQdGT+0fCXjKqicHu2EkmJcmZYeTzzxBG+++SaFhYVcccUVtG/fnsGDBxMKhWjWrBkjRowgLi6Oxx57jHnz5pGQkMCQIUNo3bo1q1evPux7JUmSJJWBktNXJkLeOkis4fIVSVFRZk3AwoULWbJkCVOnTmXSpEls3LiR++67jwEDBjBlyhQikQhz585l6dKlfPDBB8ycOZOHHnqIO++8E+Cw75UkSZJ0BBXshK/Gw+tnwJzj4T+joEZr6DgDLs2G0/4CtU+z8JBUpspspsc777xD8+bNueGGG8jJyeG2225jxowZtG/fHoBOnTqxYMECMjIy6NixI6FQiHr16lFcXMy2bdtYunTpYd177rnnltVblSRJko4O4WLY9OY3y1dmuXxFUrlTZqXH9u3b2bBhA3/9619Zt24dv/3tb4lEIoS+aXpTUlLYvXs3OTk51KhRo+R5/71+uPceSFFREdnZ2aX5lstMRc0tHQzHt2KZ41uxzPEd2+LzVlBl40wqb5xJfH424YTq7Kl7OXvqXk5h1ZOD2Rw7gB2xOw4c44plsTS+y6z0qFGjBpmZmSQlJZGZmUmlSpXYuHFjyeO5ublUq1aN1NRUcnNz97letWrVffbk+DH3HkhCQgLp6RWvic7Ozq6QuaWD4fhWLHN8K5Y5vmNUwU5YM+Ob01fe/f+nr2Q+Slz9bqTEJ5MS7YxlxDGuWFZRx/eOHTu+93qZ7elx6qmn8vbbbxOJRNi0aRN79uyhQ4cOLFy4EID58+fTrl072rZtyzvvvEM4HGbDhg2Ew2Fq1apFy5YtD+teSZIkSYcoXAzZ/4QFveH5uvDBb6Bge7B85ZJ1cNbL0Kinx81KKrfKbKZHly5dWLRoEb/4xS+IRCIMHz6cBg0aMGzYMB566CEyMzM5//zziY+Pp127dlx++eWEw2GGDx8OwKBBgw7rXkmSJEkHydNXJMWIUCQSiUQ7RHmwbNkyWrRoEe0Yh6yiTj2SDobjW7HM8a1Y5viuoPa7fKUf1O/mbI5vcYwrllXU8b2/7/RlNtNDkiRJUjnzfaevVGsRLF9p0huq1It2Qkk6LJYekiRJ0tHG5SuSjhKWHpIkSdLRoGAnrJkJK5+GLQv+//KVtg+5fEVSzLL0kCRJkmJVuBg2/ytYvrJ2FhTvcfmKpKOKpYckSZIUa3Yt/9bylbXfLF/p7/IVSUcdSw9JkiQpFhTugtUz9l2+Uvd8aPMgNLjY5SuSjkqWHpIkSVJFtd/lK6OhyVUuX5F01LP0kCRJkiqa3SuComPl37+1fKUfZPSD2qe5fEWSvmHpIUmSJFUEhTmw9lnIego2z/9m+cp5Ll+RpB9g6SFJkiSVV5EIbHknKDrWzICiXKjaDE4eCRl9oUr9aCeUpHLN0kOSJEkqb/LWBSevZD0Nu5dDQio07hWcwHLMT12+IkkHydJDkiRJKg+K98K6F4NZHRv/CZEw1OkMJw6FRpdBQkq0E0pShWPpIUmSJEVLJALbP4IVT8HqKVCwHao0ghP/CBm/gqpNo51Qkio0Sw9JkiSprO3dAqsmB7M6dnwabELa4FJo2h/Szg42KZUkHTZLD0mSJKkshAthw6tB0bF+DkSKoHZ7OG1ssF9HUo1oJ5SkmGPpIUmSJB1JO/8TFB0rJ8HeTZBcB04YABn9oMaJ0U4nSTHN0kOSJEkqbQU7YPW0oOzY+gGEEqD+RcHpK/V+BnGJ0U4oSUcFSw9JkiSpNETCsOlNWDEB1j0fnMZS4yRo+xA06R3M8JAklSlLD0mSJOlw5GRB1tOQ9XfIWwOJNSDz6mBWR61TIRSKdkJJOmpZekiSJEmHqigX1jwbLF/Z/BYQgvTzoM390KB7cBqLJCnqLD0kSZKkgxGJwNfvBkXH6ulQlAOpx8HJ90JGX6jSINoJJUn/w9JDkiRJ+iF562HlxGAJy+4vISEFGv0yWL5ybEeXr0hSOWbpIUmSJP2v4nxY92Iwq2Pj68EmpXU6wYm3Q8NfQGJqtBNKkg6CpYckSZIEwfKV7UuComPVFCjYFixZaXk7ZPaDqsdFO6Ek6RBZekiSJOnotncLrHomKDt2/BviKkHDHsHylbSuEBcf7YSSpB/J0kOSJElHn3ARZP8DVkyADXMgXAi12sFpj0PjXpBUM9oJJUmlwNJDkiRJR4+dy4IZHSsnwd6NUOlYaH5jMKujRqtop5MklTJLD0mSJMW2gp2welpQdmxdCKF4qPdzaHo11LsQ4hKjnVCSdIRYekiSJCn2RMKw+a1g+craZ6F4L1Q/Edo8CE2ugspp0U4oSSoDlh6SJEmKHblrIevpYFZH7kpIrA4Z/YJZHbXaQSgU7YSSpDJk6SFJkqSKrTgf1r0IWRMg+3UgAmlnQ+u7oeGlkFA52gklSVFi6SFJkqSKafsnwfKVVZOhYBtUaQithkFmP0jNiHY6SVI5YOkhSZKkiqNgO6yaEpQd2z+CuCRo0CNYvpLWFeLio51QklSOWHpIkiSpfIuEYdOb32xKOgvC+VDjZDj1z9CkN1SqFe2EkqRyytJDkiRJ5VPu6m9tSroakmrCcddC5tVQq02000mSKgBLD0mSJJUfxXth7fPBpqQb5wbX6naFk0dBw0sgPjm6+SRJFYqlhyRJkqJv20ffbEr6DBTugJTGcNIIyPgVpDaJdjpJUgVl6SFJkqToyN8abEqaNQG2fwxxlYIjZpteHRw5G4qLdkJJUgVn6SFJkqSyEy6GTXNhxd9g3QsQLoCabaHdX6DJFcG+HZIklRJLD0mSJB15OVnfbEr6NOSthaRacNz10LQ/1Dwl2ukkSTHK0kOSJElHRtGe4IjZrAnBkbOEIP08aPMgNOgO8ZWinVCSFOMsPSRJklR6IhESd30Ca++C1VOhcCekZEDru4NNSVMaRjuhJOkoYukhSZKkw7f3a1g1GbImcMyOT4OjZRv+ItiUtE5nNyWVJEWFpYckSZJ+nHAxbHw9OGp2/YsQLoRap7Gz+Siqt74OkmpEO6Ek6Shn6SFJkqRDs3sFZD0VbEq6Zz1Uqg3NbghmddQ4ibzsbKpbeEiSygFLD0mSJB1YUR6seTbYlHTzW8Fylbrnw6mPQv1uEJ8U7YSSJH2HpYckSZK+XyQCWz8Iio5VU6FoN6Q2hZPvhYy+UKVBtBNKkvSDLD0kSZK0r72bYWWwKSk7l0J8ZWjUEzKvhjqdIBSKdkJJkg6KpYckSZIgXATZr8GKv8H62RApgtqnQ/tx0PhySKwW7YSSJB0ySw9JkqSj2a7lwYyOlX+HPdlQ6Vg4/veQ2R9qnBjtdJIkHRZLD0mSpKNNyaakf4PN84NNSdMvhHZXQ72fuympJClmWHpIkiQdDSIR2PZhsHxl9RQo3PXNpqQjIeNXUKVetBNKklTqLD0kSZJiWf42WPVMUHbs+ATik6HhL6DpNW5KKkmKeZYekiRJsSYShk3/CoqOtbMgnA8128Jpj0PjKyCpRrQTSpJUJiw9JEmSYkXeOsh6GlZMgNyVkFgDjrsWmv4aap4S7XSSJJU5Sw9JkqSKrLgANsyBr56Eja8FszzSzoaT74EGPSChcrQTSpIUNZYekiRJFdHOZcHylZUTIX8LVK4HLW8Pjpqt2jTa6SRJKhcsPSRJkiqKwhxYMyMoO75+F0IJUL9bsHwl/XyI8//aSZL0bf6bUZIkqTyLRGDrwm+Omp0GRTlQ7Xg45X7I6AuV06KdUJKkcsvSQ5IkqTza+zWsmhSUHTuXQnwVaHx5MKvjmJ961KwkSQfB0kOSJKm8CBfDxjcg62+w7gUIF0Lt9tB+XFB4JFaLdkJJkioUSw9JkqRoy10NK56CrKcgbw0k1YJmNwSzOmq0inY6SZIqLEsPSZKkaCjOh3UvBstXNv4zuFb3XGjzADToDvGVoptPkqQYYOkhSZJUlnZ8FhQdqyZB/lao0ghaDYem/SGlcbTTSZIUUyw9JEmSjrTCXbB6Oqx4ErZ+AHGJ0OASaHoNpHWFuPhoJ5QkKSZZekiSJB0JkQh8/e43R81Oh+I8qH4itH0YmlwFycdEO6EkSTHP0kOSJKk07d0MKycGZceuzyEhFZpcGczqqN3eo2YlSSpDlh6SJEmHK1wE2a8FRcf62RApgmN+CqdPgEY9ITE12gklSToqWXpIkiT9WDlZsGICZD0Ne9ZDpWPhhAGQeTVUbxHtdJIkHfUsPSRJkg5F8V5YOyuY1bHpTQjFQfoF0O7PUO8iiE+KdkJJkvSNMi89tm7dyqWXXsqECRNISEhg8ODBhEIhmjVrxogRI4iLi+Oxxx5j3rx5JCQkMGTIEFq3bs3q1asP+15JkqQfbfvH3xw1+wwUbIeUDGh9N2T2gyoNop1OkiR9jzJtAgoLCxk+fDjJyckA3HfffQwYMIApU6YQiUSYO3cuS5cu5YMPPmDmzJk89NBD3HnnnaVyryRJ0iEr2AHLx8I/2sGrbeCr8cGsjrPfgIu/glZDLTwkSSrHyrT0GD16NL169aJOnToALF26lPbt2wPQqVMn3n33XT788EM6duxIKBSiXr16FBcXs23btsO+V5Ik6aBEIrDpLXi3LzyfDot+F2xUeuoY6LEBzpgCdbsGy1okSVK5VmbLW2bNmkWtWrU488wzGTduHACRSITQN8e2paSksHv3bnJycqhRo0bJ8/57/XDvPZCioiKys7NL7f2WpYqaWzoYjm/FMsd3+RKXv5nKG2dQJXsaCXuyCMdXZU/a5eTVu4Ki1JOCo2a35QP+3Q6G41uxzjGuWBZL47vMSo/nnnuOUCjEe++9x7Jlyxg0aBDbtm0reTw3N5dq1aqRmppKbm7uPterVq26z54cP+beA0lISCA9Pf1w32aZy87OrpC5pYPh+FYsc3yXE+Hib46affL/HzVbpxOccgdxDS8jJaEKKdHOWAE5vhXrHOOKZRV1fO/YseN7r5fZvMxnnnmGyZMnM2nSJFq0aMHo0aPp1KkTCxcuBGD+/Pm0a9eOtm3b8s477xAOh9mwYQPhcJhatWrRsmXLw7pXkiSpRO5q+PcIeKkJvPVz2PIOnHAzXPQFnPMWZPSBhCrRTilJkg5TVI+sHTRoEMOGDeOhhx4iMzOT888/n/j4eNq1a8fll19OOBxm+PDhpXKvJEk6yhUXBLM5VoyH7NeDa+nnQ9tHoH43j5qVJCkGhSKRSCTaIcqDZcuW0aJFi2jHOGQVdeqRdDAc34plju8ytOuL4KjZlX+HvZuhSkPIvBqa9oeUxtFOF5Mc34p1jnHFsoo6vvf3nT6qMz0kSZKOiKI9sPbZYK+OzfMhlBDM5jjuWqh7HsTFRzuhJEkqA5YekiQpdmz/BL4aD6smQ+FOSD0OThkFGb+CynWjnU6SJJUxSw9JklSxFe6C1dOCsmPbYoirBI1+AU2vgTqdg6NmJUnSUcnSQ5IkVTyRCHz9frB8Zc10KMqFGifBqX+GJr2hUq1oJ5QkSeWApYckSao48rfCysnBCSw7l0JCCjS+AppeC7VPc1aHJEnah6WHJEkq3yJh2DQvmNWx9jkIF0Dt06H9eGh8OSRWjXZCSZJUTll6SJKk8mlPNmQ9HRw3m7MCkmrCcddD019DzdbRTidJkioASw9JklR+hIsg+7Vg+cr6ORAphjpnQeu7oEEPSKgc7YSSJKkCsfSQJEnRl7MKsibAigmwZz0kp0GLWyHz11CtWbTTSZKkCsrSQ5IkRUdxAax/Eb56Ejb+M7iWfgG0GwP1L4K4xOjmkyRJFZ6lhyRJKls7Pw82JV35d8j/Gqo0gpNGQObVkNIw2ukkSVIMsfSQJEn/r707j4+qvvc//pqZLJAFQth3CKCggiwKegWrrV6V1vVqpW61drX22sW19mq1UpXa1nt/ttrW1uq14q691moXUYtYi9aKFUQsO4Swr0nIOuf3xyEbBAiQ5CST1/PxOJ51zvlMPISZN9/z/ba8qlJY+XTYV8eGORBLgwFnw7AvQJ9TIZ6IukJJkpSC4k056L777muw/qMf/ahFipEkSSlm87vw9lXwXD/422ehbD2M/QGcsxqmPA39TjfwkCRJLWafLT2eeuopnn76aZYsWcLs2bMBqK6upqqqimuuuaZVCpQkSe1M5XZYPjN8hGXzO5DoBAPPh+FfhJ5TIBaLukJJktRB7DP0OPvsszn++OP5+c9/zle+8hUA4vE43bt3b5XiJElSOxEEsPHN8PGVFU9CdSnkjYEJ98LQiyGjW9QVSpKkDmifoUdGRgYDBgzgtttuY/78+ZSXlwOwevVqjj322FYpUJIktWFlG2H5I2Grjm0fQFoODL0k7Ksj/xhbdUiSpEg1qSPTq6++mk2bNtG3b18AYrGYoYckSR1VkIR1r4RDza5+DpIV0P04mPQrGPRpSM+JukJJkiSgiaHHxo0befzxx1u6FkmS1JaVroFlD8GSX0HxUsjIhxFXhq068o6KujpJkqQ9NCn0GDp0KOvWraN3794tXY8kSWpLklWw5qXw8ZU1v4egGnp/HMZMh4Hnhp2USpIktVFNCj3eeecdTj75ZPLz82u3zZkzp8WKkiRJESteFrboWPpr2LkGOvWBUdfDsCsgd3jU1UmSJDVJk0KPP/3pTy1dhyRJilp1Oaz+bdiqY+3LEItD3zPg2Pug31SIp0ddoSRJ0gFpUujx7W9/e49td955Z7MXI0mSIrDtg7BT0uX/C+WbIHswjP4eDPscZA2IujpJkqSD1qTQY+rUqQAEQcAHH3zA+vXrW7QoSZLUwqpKYOVTsPgB2PjXsBVH/7Nh+BehzylhKw9JkqR2rkmhx5QpU2qXTzzxRK644ooWK0iSJLWgze+ErTpWzITK7dDlcBh3Nwy9DDr1iro6SZKkZtWk0KN+p6UbNmxg48aNLVaQJElqZhXbYPmjYV8dW94NR1wZ9OlwqNmekyEWi7pCSZKkFtGk0OP3v/997XJGRgZ33HFHixUkSZKaQRDAhjdgyQPhYyzVO6HbWDjmpzDkIsjIi7pCSZKkFtek0OPOO+/ko48+YvHixQwdOpRRo0a1dF2SJOlglG2AZf8bturY/iGk5YaPrgz/InQbb6sOSZLUoTQp9HjkkUd44YUXGDNmDA8++CBnnHEGn//851u6NkmS1BRBEtbOClt1rP4tJCuhx7/BpAdh8KchLTvqCiVJkiLRpNDjhRde4NFHHyUtLY3KykqmTZtm6CFJUtRKV8PSh2DJr6BkOWR2hxFfg2Gfh7wjo65OkiQpck0KPYIgIC0tPDQ9PZ309PQWLUqSJO1FsgrW/D4cgaXoxbCVR+9PwNi7YMA5kMiMukJJkqQ2o0mhx4QJE7j66quZMGEC77zzDuPGjWvpuiRJUn07loQtOpY9BDuLoHNfOOLGsFVHTkHU1UmSJLVJ+w09nnjiCb71rW/xxhtvMH/+fCZOnMgll1zSGrVJktSxVZfBqt+GfXWsewVicej3yXCo2X5TId6kf7uQJEnqsPb5aenee+/lX//6F2eddRYnnXQSw4cP56677mLbtm1cddVVrVWjJEkdy9YF4egry/4XKjZD9hAYMx0KLoes/lFXJ0mS1G7sM/SYPXs2Tz75JLFdw9sNGDCAe+65h2nTphl6SJLUnKpKYMUTYdix8U2Ip8OAc8OhZnt/PGzlIUmSpAOyz9AjKyurNvCokZ6eTna2Q99JknTIggA2vxM+vrL8MajaAV1GwrgfwdBLoVPPqCuUJElq1/YZenTq1IlVq1YxK6wMpAAAIABJREFUcODA2m2rVq3aIwiRJEkHoGIrWat/De8+CVvfg0RnGPTpsFVHj38D/56VJElqFvsMPa699lq++tWvcvzxxzNw4EDWrFnDnDlzmDFjRmvVJ0lSaggC2PB6ONTsqqfoWl0G3cbDsffB4Isgo2vUFUqSJKWcfYYeI0aMYObMmcyaNYv169dz5JFHctVVV5GTk9Na9UmS1L6VrYelD4d9dez4CNK7QMHn2ND1bHoedlrU1UmSJKW0/Y51l5ubyznnnNMatUiSlBqS1bD25bCvjtX/B0EV9DwBjrwJBp0PadlUFRVFXaUkSVLK22/oIUmSmqh0NSx5EJY+CCUrILM7HH41DPsCdB0VdXWSJEkdjqGHJEmHIlkJhb8PW3UU/QGCJPQ5Fcb+AAacDYnMqCuUJEnqsAw9JEk6GDsWw5JfwdKHoGwtdO4HR9wEw66AnKFRVydJkiQMPSRJarrqMlj1bNgp6bpXIZaAfp8Mh5rtezrE/WtVkiSpLfHTmSRJ+7N1Pix+AJY/AhVbIKcAjv4+DL0csvpFXZ0kSZL2wtBDkqTGVBbDyifCsGPTXIhnwMDzwk5Je58MsXjUFUqSJGk/DD0kSaoRBLDp7fDxlRWPQVUxdD0Cxt8DQy6BTj2irlCSJEkHwNBDkqSKLbDsN2HYsfWfkMiCwRfCsC9Cj+MgFou6QkmSJB0EQw9JUscUBLB+djjU7MqnIVkO+RPg2J/BkM9AepeoK5QkSdIhMvSQJHUsO9fBsofC4WZ3/AvSu4b9dAz/AnQbG3V1kiRJakaGHpKk1JeshqI/ho+vFP4OgirodSIcdTMMPB/SOkddoSRJklqAoYckKXWVrIAlD8LSB6F0NWT2hJHfhGGfhy6HR12dJEmSWpihhyQptVRXQOHzYauOoj+F2/qeBuP/G/qfCYmMaOuTJElSqzH0kCSlhm0fwtJfwdKHoXwDZA2Eo26BYZ+D7MFRVydJkqQIGHpIktqvqtJw5JUlv4QNr0MsDQacFXZM2uffIZ6IukJJkiRFyNBDktT+bH43DDqWPwqV2yB3BIydAUMvg859oq5OkiRJbYShhySpfajcDstnhmHH5ncg0SkceWXYF8KRWGKxqCuUJElSG2PoIUlqu4IANv41DDpWPAnVpZA3BibcC0MvhoxuUVcoSZKkNszQQ5LU9pRtgGWPhGHH9oWQlgNDLwlbdeQfY6sOSZIkNYmhhySpbQiSsHZWGHSsfg6SldDjeJj0Kxj0aUjPibpCSZIktTOGHpKkaJUWwtJfw5JfQclyyMiHEVfBsM9D3lFRVydJkqR2zNBDktT6klWw5vew+JdQ9GLYyqP3x+HoO2HgOWEnpZIkSdIhMvSQJLWeHUvCFh3LHoKdRdC5LxxxIxRcAbnDoq5OkiRJKcbQQ5LUsqrLYNVzYV8d616BWBz6fTLslLTfVIj7V5EkSZJahp80JUktY+v8MOhY9ghUbIbsITBmOhRcDln9o65OkiRJHYChhySp+VQWw8onwr46Nv0N4ukw4FwY/sWwz45YPOoKJUmS1IEYekiSDk0QwKa3w1YdKx6DqmLoMgrG/xiGXAqdekRdoSRJkjooQw9J0sEp3wzLHw3Djq3/hEQWDL4w7Kujx/EQi0VdoSRJkjo4Qw9JUtMFSVj/l3AElpVPQ7Ic8ifAsT+DwdMgo2vUFUqSJEm1DD0kSftXWghLH4KlD0LxUkjvCsM+H7bqyB8XdXWSJElSoww9JEmNS1ZC4Qthq46il8JWHr1OgtG3wcDzIC0r6golSZKkfTL0kCQ1tO1DWPorWPa/ULYeOveFUTfAsCsgd3jU1UmSJElN1mqhR2VlJTfddBOFhYVUVFRw5ZVXMnz4cG688UZisRgjRozgu9/9LvF4nJ/85Ce89tprpKWlcdNNNzFmzBhWrFhxyMdKkvaishhWPhV2SrrxrxBLg/6fCh9h6Xs6xM3IJUmS1P602qfY559/nry8PO6++262bNnCueeey8iRI/nGN77BpEmTuOWWW5g1axb9+vXjrbfe4qmnnqKoqIj//M//5JlnnuHOO+88pGNPPfXU1nqrktQ+BAFsmhs+vrLi8V1DzR4OY38AQy+Dzr2jrlCSJEk6JK0Wepx++umcdtppteuJRIIFCxYwceJEAE488UTeeOMNhg4dyuTJk4nFYvTr14/q6mo2b958yMfuL/SoqqqiqKiohd59y2qvdUtN4f3d/GIVm8ha9wyd18wkvfQjkvHOlPU6k9K+n6Gy68RwqNmtSdjqz76leX8rlXl/K9V5jyuVpdL93WqhR3Z2NgDFxcVcffXVfOMb32DGjBnEYrHa/Tt27KC4uJi8vLwGr9uxYwdBEBzSsfuTlpZG3759m+39tpaioqJ2WbfUFN7fzShZDWv/HLbqKPy/sJPS7pPgqF8QH3whWeldsFvS1uX9rVTm/a1U5z2uVNZe7++tW7c2ur1VO7ooKirisssu4+yzz+bMM89s0M9GSUkJXbp0IScnh5KSkgbbc3NzD/lYSeqQipfDP2+B54fCa2fA+tdgxNdg6vtw2t9g+Bch3d+RkiRJSk2tFnps3LiRK664guuuu47zzz8fgCOOOIK5c+cCMHv2bI455hjGjx/PnDlzSCaTrFmzhmQySX5+/iEfK0kdRnUZLH8cXjkVni+A+dOh6xEw+Sk4pxAm/Bjyjoq6SkmSJKnFtdrjLT/72c/Yvn079913H/fddx8A3/nOd5g+fTo//vGPKSgo4LTTTiORSHDMMcdw4YUXkkwmueWWWwC44YYbuPnmmw/6WElKeVveCx9fWf4bqNgC2YNh9K1QcDlkD4q6OkmSJKnVxYIgCKIuoi1YuHAho0aNirqMA9Zen7eSmsL7uwkqtsGKx8KwY/PfIZ4BA88Lh5rt/XGIOVx3W+X9rVTm/a1U5z2uVNZe7++9fadvtZYekqRmEgSwfnYYdKx6Gqp3Qt4YmPA/MORiyOwedYWSJElSm2DoIUntRekaWPYwLHkQiheHHZAO/WzYqiN/QjjUrCRJkqRahh6S1JYlK2HNi2GrjjUvQlANvT4Go2+Bgf8BaQ40K0mSJO2NoYcktUVbF8DSX8PyR6BsPXTuC6Oug4IroMuIqKuTJEmS2gVDD0lqKyq2worHw7Bj01sQS4P+Z0LB56DfGRD3V7YkSZJ0IPwELUlRCpKw7tWwn47Vz0J1GeSNhvH3hJ2SduoZdYWSJElSu2XoIUlRKF4GSx8KOyYtWQHpeeGjK8OugG7j7ZRUkiRJagaGHpLUWqpKYdWzsPTBsHUHMehzKoydAQPOhkSnqCuUJEmSUoqhhyS1pCCATXPDx1dWPgGV2yFnGIyZDkMvg+yBUVcoSZIkpSxDD0lqCTuLYNkjYaek2z+ERBYMuiB8fKXnFB9fkSRJklqBoYckNZfqCljz+7BVR9FLEFRDzxNg0q/CwCM9N+oKJUmSpA7F0EOSDtXW98OgY/lvoHwjdO4Ho66Hgsuhy2FRVydJkiR1WIYeknQwKrbA8pnh4yub34F4OvQ/O3x8pc+pEPfXqyRJkhQ1P5VLUlMlq2Hty2HQsfq3kCyHbmNhwv+DIRdBZveoK5QkSZJUj6GHJO3Ptg9g6cPh4ys710BGPgz/EhR8DvLHRV2dJEmSpL0w9JCkxpRvghWPw9KHYPPfIZaAflNh6P+D/p+CRGbUFUqSJEnaD0MPSaqRrIQ1L8Gyh6Hwd+F63tEw/scw+CLo3DvqCiVJkiQdAEMPSdoyb9fjK49C+Qbo1AtGfA0KPgvdjo66OkmSJEkHydBDUse0c10Ycix7GLb+E+IZ0P9MGPpZ6Hd6OBqLJEmSpHbN0ENSx1FdHj62svRhKHoJgmrIPxaO+SkMngaZ+VFXKEmSJKkZGXpISm1BAJveClt0rHgcKrZA534w6tqwVUfXUVFXKEmSJKmFGHpISk2lq2HZb8KwY/uHkOgEA84Ng44+p0A8EXWFkiRJklqYoYek1FFVAqt+GwYda18GAug5GSY+AIMugIyuUVcoSZIkqRUZekhq35LVsG5W2Kpj9bNh8JE9GI76Lxh6GeQOj7pCSZIkSREx9JDU/gQBbH0Plj0CKx6DnUWQ3hUGXwRDLwlbd8TiUVcpSZIkKWKGHpLaj9LVu4aZfQS2LQiHle03FYZcCv0/GfbbIUmSJEm7GHpIatsqt8PKZ2D5I7DuNSCAHsfDsffBoE9DZveoK5QkSZLURhl6SGp7kpVQ9EfyFj4Am/4E1WWQMxxGfxeGXAK5w6KuUJIkSVI7YOghqW0IAtj0Niz/Dax4HMo3kJneDQo+H/bT0X0SxGJRVylJkiSpHTH0kBSt4mXhyCvLfwM7PoJ4Jgw4C4ZcwrrY0fTtPzjqCiVJkqSUV1ZVxvvr3qcPfaIupVkZekhqfWUbYOVTsGImbHgj3NbrY3DE9TDwPyAjL9xWVBRdjZIkSVKKq0pW8eqyV3l8/uM8s/AZtpVv40/n/YmB/QdGXVqzMfSQ1Doqd8Dq38LymbD2zxBUQ9cj4eg7YMjFkD0o6golSZKklJcMksxZOYfH5z/O0x88zYbSDeRm5HLeqPO47OjLGNVpVNQlNitDD0ktp7oM1rwEKx6Dwt+F69mDYdR1MOQiyBsddYWSJElSyguCgLmFc3li/hM8+cGTrNmxhqz0LM487EwuPPJCzhhxBp3SOgFQlGKtrQ09JDWvZDWsfzVs0bHqWajcBpk9YdgXYPBnwuFm7ZBUkiRJalHVyWr+uuqvPPfhczz34XMs37qczEQmZ4w4g2lHTuNTh32K7IzsqMtscYYekg5dEMCmt8KgY+WTULYW0nJh4Hlh0NHnExD3140kSZLUksqqynh56cv89sPf8vyi59lQuoGMRAanFpzKbSfdxtmHn03XTl2jLrNV+S1E0sHb9kEYdKx4DIqXhiOv9P8kDL4I+k2FtM5RVyhJkiSltK1lW3nxXy/y3IfP8dK/XqKksoQumV345IhPcu7Iczl9+OnkZuZGXWZkDD0kHZjiZWFrjuWPwdb3IBaH3p+Ao26GAedCRsdKjiVJkqTWFAQBCzcu5KV/vcSLi1/k9RWvU5mspE9OHy4dcynnjDyHk4eeTEYiI+pS2wRDD0n7V7IyHGJ25ZPhYywA3Y+DCf8PBl0AnVNrLG9JkiSpLSmpKOGVZa/w0uKXePFfL7Ji2woAjup1FN887pucM/IcJg2YRDwWj7jStsfQQ1LjSlfDyqdhxROw6W/htvwJMHZGGHTkDI22PkmSJClFBUHAok2L+OPiP/Li4hd5bflrVFRXkJ2ezSkFp3DTlJs4Y/gZDOw6MOpS2zxDD0l1StfAqqfDFh0b3gi3dRsLR98ZBh25w6KtT5IkSUpRhdsLmbVsFi8vfZlZy2axZscaAEb2GMnXjv0aU0dMZfKgyWSmZUZcafti6CF1dDvXwqpnwqBj/etAAHljYMz0MOjocljUFUqSJEkpZ8vOLby2/DVmLZvFrGWz+HDjhwD0yOrBx4d+nFOGnsIpBacwtJstrA+FoYfUEZWth1XPho+urP8LEEDXI2H0rWHQ0XVU1BVKkiRJKWVj6UbmrJzD7BWzeX3l6/yj6B8kgyTZ6dmcOPhEvjDuC5xScAqje4+2b45mZOghdRSla2D1b8NWHetfgyAJXQ4PR10Z9GnIOzLqCiVJkqSUsXLbyjDgWPE6r698nYUbFwKQmcjkuAHH8V9T/otTCk5h0oBJjrTSggw9pFRWvDxs0bHqGdj4JhCEQccR34bBF0LXoyAWi7pKSZIkqV2rSlYxf/185q6ey+srw5Bj5baVAHTN7MoJg07gsqMvY8qgKRzT7xj75WhFhh5Sqtn2YRhyrHoWtvwj3NZtLIy+DQb9B3Q9Itr6JEmSpHZuzY41/G3135i7ei5/K/wbf1/zd0orSwHok9OHKYOmcO3x1zJl8BRG9xpNIp6IuOKOy9BDau+CALa+ByufgdXPwrYPwu3dj4Nxd8OAcx11RZIkSTpIO8p3MG/tPOYWzmVu4Vz+tvpvrN6+GoD0eDrj+o7jC+O+wKQBk5jUfxIF3QqI2Zq6zTD0kNqjIAmb3qpr0VG8FGJx6HkiTLgSBp4DWQOirlKSJElqV7bs3MK7a9/lH0X/qJ0+2vQRAQEAQ/OGMmXQFCb1n8RxA45jbJ+xPqrSxhl6SO1FdRmsfQUK/w8Kfwc7iyCeDr0/EfbRMeBs6NQz6iolSZKkdmFd8bq6cGNtOF++dXnt/kFdBzG+73guHn0x4/qOY2L/ifTK7hVdwToohh5SW1a+CQp/HwYdRX+EqhJIy4G+p4chR/9PQUZe1FVKkiRJbVZxRTEL1i/g/fXv8/6695m/YT7vr3ufDaUbao8ZkT+CSf0nceUxVzKuzzjG9R1Hj6weEVat5mLoIbU1OxbD6ufDoGPDnPBRls79YMilYdDR+2RI2IROkiRJqq+iuoJ/bfoX769/n/nr59eGHMu2Lqs9Jjs9myN7HclZh5/F6F6jGdd3HGP7jKVLZpcIK1dLMvSQolbTP0dN0FHTEWneGDjipjDoyJ/g0LKSJEkSsKl0Ex9u/LB2WrRpER9u/JClW5ZSHVQDkIglOLzH4Rzb/1iuGHcFo3uNZnTv0QzJG0I8Fo/4Hag1GXpIUajYBmtfhjUvhlPZWogloNfHYNiXYMBZkDM06iolSZKkSJRXlbNs6zIWb17Moo1hqPHhpjDk2Fi6sfa4zEQmI7qP4Og+R3PhkRcyssdIjup1FCN7jLSDUQGGHlLrCALYvrAu5Fj/OgRVkN4V+p4G/c+C/lMho1vUlUqSJEmtYnv5dpZsXsKSLUtYvHlx7fKSLUtYtW1V7YgpAD2zejKyx0jOHXkuI3uMrJ0Gdx1MIp6I8F2orTP0kFpKVSmse7Uu6ChZHm7PGw2jroV+U6HH8RD3j6EkSZJST3lVOau2r2LF1hWs2LaCFVtX1IYaizcvbtBiA8JgY3j+cE4cfCLDug0Lp/xhHN79cLpndY/oXai989uW1JyKl0Lhi7Dm92HgkSyHtGzocwoc+W3oewZkD4y6SkmSJOmQbS/f3iDQWLGt4fLa4rUNjo8RY2DXgQzPH865I8+tDTWG5w+noFuBnYmqRRh6SIeiYhusewXW/hmK/gTFS8LtuYfBiCvD1hy9TnS0FUmSJLUbQRCwsXQjhTsKKdxe2HC+a3nltpVsK9/W4HUZiQwGdR3E4K6DmTp8KoPzBteuD84bzIAuA8hIZET0rtRRGXpIByJZBZvmQtGfYe2fwlFXgmpIywmHkj3869DvDMgdHnWlkiRJUgNBELClbAvritexrmQdRTuKGg00ioqLqKiuaPDaGDF65/SmX24/huQNYcqgKQzOG1wbaAzuOpjeOb0dGUVtjqGHtC9BADsWhy051v4pfGSlcjvE4pB/LBzxbej779DjOIinR12tJEmSOpggCNi8czPrStbVhhnritextnhtuLzb9spk5R7nyE7Ppn+X/vTP7c/kQZPpn9u/dr1m3ienD+kJP++q/TH0kHZXsgrWvxYGHOtereuANHsIDJ4Gff4d+nzckVYkSZLU7HZW7mTTzk1sLN3IptJwvrF0Y922nXXb1hWvY33J+kaDjLR4Gr2ze9M7pze9s3szuvfocD27N31y+tA7J5z3z+1Pl8wuxGKxCN6t1PIMPaTSwjDcWP8arHutrl+OjHzo9TE44nrocyrkDAP/MpAkSVITlFeVs6VsC1vLtrJl56552RY279xcG2bUDzBqlksrS/d6zrxOefTI6kH3zt3pk9OHo3sfHQYY9cKNmnm3zt181ETC0EMdUemauoBj3atQvDjcntEtDDkO+8+wf468o8LHWCRJktThVCWr2FG+g23l2xqEFlvLtrJi/QqSC5N1oUYj4UZZVdk+z18TYPTI6kG/3H6M6T2mNtCo2d49q245v3M+aXG/vkkHyj81Sm1BErZ9ABveCKeNb4TDygKkd90Vcnw1DDm6joZ4Itp6JUmSdNCCIKCksoQd5TvYXr69dtpRsdt6zf6K3dbrHbuvFhcQduyZ1ymPbp27hfNO3ejbsy/dOnXbY3vNerdO3ejWuZsBhtSK/JOm1FK1MxxRZeOukGPDX6Fya7ivU2/oeQKMuAp6nwR5RxtySJIkRSAIAkorSympLKGkooTiiuLa5ZLKXeuNLJdUlFBcudt6RTHFFcW1gUUySO73+mnxNLpmdiU3M5cumV3oktmF3jm9GZ4/vHY9NyOX3MzcPYKLvE55lG8rZ8SgET4+IrUDhh5qv4JkOLLKprfDoGPTXNjyD6jpyKnLKBh0QRh09DzBPjkkSZL2Ixkk2Vm5k51VOxvMSytLm7RtZ1Xd9tLK0j3CiZrl0spSAoIm15UWTyMnI4fs9GyyM7Jrl7tndWdQ10FheJGxK6yoF2TUhBe1y7v2ZSYyD6njzqKdRQYeUjth6KH2o3QNbK4JON6CTX+va8WRyIL8CTDymjDg6HE8ZHaPtl5JkqQDFAQBVckqyqrKKK8uD+dV5Q2Wa/bVX97bvgahxO7BRCPhRnl1+UHVHSNG5/TOdE7rXDvPSs8iOyObLpld6JvTl+yM7DC0SN8VWtSs1wsxarbtvj8jkdHMP2lJHYWhh9qeIIDSVbDlPdgyD7a8G4YcOwvD/bE0yBsNgy+E7sdC94lhqw6fi5QkSQegOllNRXUF5dXlVFRXHPS0eyjRIISoPvCg4kBaQOxNPBYnM5HZIICoH0r0zOpJ5/Rd29MahhUNtjcSZOy+rXN650NuOSFJLcVviYpWdTlsX7gr3NgVcmx9Dyq27DogBrnDwz448ncFHN3GQlrnKKuWJEm7SQZJKqsrqUxWsrV8K4mSRO36/uZ7CxL2GzgkDz6oqKiuaFLfDwcqPZ5Op7ROZKZlhvNEZoPlTmmd6J7VvcF67Twts8Hy7vv2dr7G1u0kU5JC/jZU66jaCTsWwbaFYchRM9++CIKq8JhEZ8gbE/bD0W0s5I0NW3Sk50RbuyRJLSAIgv0GAlXJqiaFBgcyrz1nM563KlnVIgFCfYlYgoxEBhmJDDLTMmuXG5u6ZHbZc3t878fvb9rf9TISGbVhhP08SFLbYuih5pOshp2rwyFhdyypCzm2fQAly6GmqWYsDtkF0HUU9D8zDDi6jYWc4Y6mIkkdUBAEVAfVVCWrGp1qvqjvsT3Z+PZmfU3Qctdv6ZCgvrR4GunxdNIT6U2ed0rrtPf98fTwnHvZv7NkJ93zujfpOk0JHdLj6ST8jCBJOgiGHmq6ZDWUr4fS1eFUvAyKl4QhR/GSMNioGTkFIJ4JXQ4LH0kp+GzY70bXUZA7AhKdInsbktTSgiAgGSSpSlZRHVRTnayu/VJfs1xYXEjZlrI9ttdfrk5WNzjH3pb3dY5DOl8L1LC3kCBKiViCtHha7Zf4muXdp5ov+rtvy0rPOqDX7L69sSDgYEKKvc0TsUSr97VQVFRE3759W/WakiQ1JmVDj2Qyya233sqiRYvIyMhg+vTpDB48OOqy2p4ggKodUL4RyjZC+YZdy+vDjkNLV0NpYbi8cw0E1Q1fn54HucPClhoDzwuHhc0pCKesQbbckJooCAICgtovyzVTwG7r9fbva9/u+5vzvMkgSXVQHc6T1ftcb8oxh7zemtdK1rvWPo5pjk4IW1I8FictnkYiliARTzRYrgkA9rdc87qa/gv2e7566zVfyBsNA/YSOuzt+EN9TRSBgCRJaj0pG3q8/PLLVFRU8MQTTzBv3jzuuusu7r///qjLalbFy5ey6et3sr12SwBBMgwyCIAkJKsJgqowrKiZJ6uBqrBVRrJy1/G1Z6gTT0C8E8R7QmJA2HIjkQnxTgRpncI+OGK730KFBKwGZoersRiNffbf/QtBzVqM2F6PgT0/lDb2xaJJXzWCJh4HBPv6MLzrZ9fwmN3OHMRqtwW172F/V481/qVpjx9JeFxQ84aCuiuF/607S/3zBcFu+4OaMoMGx9YcF5635uhY7foe561XS911d6un/jlj9fY3uEa4qaqqirS0NJL1Tlj/mKDef2pqC4JG6tnjfe9ZL0G94IEgvCYNtzU8Jvx5JXf93OpvD0jWvXbXNZN7eX29sx+Q/d5BQSz8f9oksbrzxWI1P44G6zV//ur+n8XqXhtreI7d1/c4Z73X1LyXmvUYcRKxGGmxOMRi4bPxsRjxWIIYcWKxGLFYglg8Hdi1PRa+jni4TgziJMLXxevtr1knRiwWD6d4PLxqrN7xu65Tu63eNcLj48Tj9eqKxYnHal5Tc75wveYLdTwW32O5bGcZOVk5xHe9vimvqVlu6hQjPF/95fBneJBf8pO7psa0Zs7TWtdKteu04rWytmVBl1a4UAr+7LxOO7hWANnbsyG3kesG+5k31zFeM3WuGexlvbGpKccc6rlyIfHTBKRQY72UDT3eeecdpkyZAsDYsWOZP3/+Po+vqqqiqKioNUprNls+dwtHvfZo1GVIkmrFqB8I7X89vtt8f9sO5jWHsq29nrsp12vuqaXOeyjXj64FS1e6RnZtqTV0aZVULxTEdn1Drf/XR/35vvY18mtgr+drynkaO3Zv5z3Q8+xea2y38x7s+Rr7VbjbvoP6mezjfAdc++7X2zUFsaDhx4fGPlLs7djGrrH78bvvA4KcgCAraHffjfclZUOP4uJicnLqRv1IJBK1/2rcmLS0tHb37GmfPz/MwgdPJrdTFsTTIRaHWAJiabuWw3ksoNE/nLHdNu73o1GM8F8H6/1LemPngT2P2+sxsMf5Gisqtq9D6v+L5a5z7fHedv9XzaCRX8qNHNfYdfd6rn0dEx7Y8JjGfibs9nNr9DyxXbXteb5YPFb7uvD8Qbh913pj12ystr3a1/+rAz1fE861ectm8rt1a+IlD/E9xJpwTHNcc19/0JrzukHQtO87QVB3vprl+uvsZ//+jmEvrzmY42O7rbf0NZvy3ht7TROPLykpJjsrC5KfwyJiAAAXK0lEQVS7Wuglk3XXrL+t9rX1lve1P9nIcY29dp/nSx7c9fZVw/7eX1P37/XcalQ8vucUa2Tb/vbVbE8k6qZ4ouF6Iq12uayqik5ZWXts3+N1aWn7Pdcer9v9NWm7ltP2c5209HCenh5Oib0s1xxbs17/7+LWypG8Tpu/VtHaXf3WHGwAcQAhxd4/vx2c5j6fUs+2om3t7rsxwNatWxvdnrKhR05ODiUlJbXryWRyr4FHexVLS5B35tR2eUNKTVFeVATe30pR24uKyPb+bl77CkzqL9c/prmnljpvW7h2dXU4r6oKl3efqiqhogyqq4mXlcH2eL19e3vNPra3FfF4w0DkQJYb25eREU6ZmXvO97Z8IPt3D2rUMrJ2TZLavNRKAeoZP348r776KlOnTmXevHkcdthhUZckSZJaUiwW/qu+IrepOUZvqQlamhqU7C9EqaqCyspwqr+8+/qBLu9tX0lJ49srKuqm8vJwau7WSruHIZ06QefOBzft77VZWeGUYv+4KCl1pOxvp1NPPZU33niDadOmEQQBd9xxR9QlSZIkqalqHq1JT4+6kpZXXV0XgNSEIfVDkcaWD2R/WRns3Fk3bdsGa9c23FYzNflR1t1kZkJOTjhlZ9ct776+t+X667m50LVrGLjYakXSIUrZ0CMej/O9730v6jIkSZKkfUsk6lpMRCkIwrCksTBkX1NJSTgVF4dT/eVNm/bc19RgJT0dunQJA5D6U1O3de0ahigGJ1KHlrKhhyRJkqQDEIvV9Q2Sl9cy1wiCMChpLCApKYEdO8Jp+/awRUr9aft2WLas4fr+Hg1KT4f8/Lqpe/emLWdnG5ZIKcLQQ5IkSVLriMXqWrX06nVo5wqCMCjZPRipWd66FbZsCVubbN4czlesgHffDZdLS/d+7pqwpEcP6N07rLVm6t2bzLQ0GDmybl929qG9F0ktxtBDkiRJUvsTi9X1B9K//4G/vqysYShSE4zUzGumdevg73+H9evDUAXI3/1cNSFO/YCkb9+wrn796ua9etnhstTKDD0kSZIkdTydOoXBxIGMNLRzJ2zYwMYPPqBHdXUYhNRM69aF85Ur4e23w+XdH79JJMLr1Q9C6s/794dBg2w5IjUjQw9JkiRJaorOnWHQICrT0/cfllRVhUFIYSGsWbPnfNEiePXV8DGc3XXvDoMHh9OQIXXLNVO3bvY5IjWRoYckSZIkNbe0tLrWG/tSUgJFRWEYsnp12FJkxYpwWrgQ/vCHsIVJfTk5dYHI8OENp8GDO8ZQz1ITGXpIkiRJUlSys+sCi8YEAWzcWBeE1J+WLYPXXguDkxqJRONhyPDhMHRoODqP1IEYekiSJElSWxWLQc+e4XTMMXvuD4LwMZrFi/ec3nyztvNVAOJxKCiAI46AUaPq5qNGha1HpBRk6CFJkiRJ7VUsBn36hNPkyQ33BUE4Ak1NCPLRR+EjMx98AC+9BJWVdccOHNgwDDniCDjqKOjatXXfj9TMDD0kSZIkKRXFYtCjRzgdd1zDfZWVsHRpGIDUBCELF8Ls2Q37EBk6FI4+uuE0dKgdqardMPSQJEmSpI4mPR0OPzyczj23bnsyGXamumABvPde3fR//xe2HAHIzW0YgkyYAKNH24Gq2iRDD0mSJElSKB4PO0IdMgQ++cm67aWlMH8+zJtXF4T87//Cjh3h/sxMGDsWjj22bjr88PB8UoQMPSRJkiRJ+5aVBRMnhlONZDIcQebtt+umX/8afvKTcH9ubtj56rHHho/XnHAC9OoVTf3qsAw9JEmSJEkHLh6HYcPCadq0cFt1ddg3SP0g5J576jpNHTEiDD9OOCHsePXww+0fRC3K0EOSJEmS1DwSiXDUl6OOgs99LtxWVgbvvANvvBFOv/sdPPRQuK97d/i3fwtDkBNPDFuG2DeImpGhhyRJkiSp5XTqVNe6A8IOURctqgtBaoIQgJycMPz4+MfD6eij7RdEh8TQQ5IkSZLUemIxGDkynD7/+XDb+vXhcLmvvBJOL74Ybs/Ph499LAxAPvGJ8DU+DqMDYOghSZIkSYpWr15w/vnhBFBYCK++GgYgs2bBc8+F2wcNgtNPhzPOCEOQ3Nzoala7YOghSZIkSWpb+veHSy4JpyAIR4n585/hD3+AmTPhF78I+/6YPDkMQE4/PexHxFYg2o0PR0mSJEmS2q5YDAoK4MtfDlt8bNoUtgD55jdh40a4/noYMyZsBfLVr4bhSEVF1FWrjTD0kCRJkiS1HxkZcPLJMGMG/POfsGoV/PKXcOyx8PDD8O//Hj4uc/HF8PTTUFwcdcWKkKGHJEmSJKn9GjAg7BD12WfDlh/PPw/nnQd//CNccAH06AGf+lQYjGzYEHW1amWGHpIkSZKk1NC5M5x5Jjz4IKxdC6+9BldeCfPnwxe/CH37hv1/PPQQbNsWdbVqBYYekiRJkqTUk5YWDnd7zz1hR6jvvhv2//HRR/C5z4WPwJx7LjzxBJSURF2tWoihhyRJkiQptcViMHYs3HEHLFkCf/tb2Onp3LkwbRr07h32AfKnP0F1ddTVqhkZekiSJEmSOo5YDCZNCluArFoVPgJzySXw0ktw2mkweDDcdBMsWhR1pWoGhh6SJEmSpI4pkQgfgfnZz6CoCJ56KmwRMmMGjBwJ//Zv8Itf2P9HO2boIUmSJElSZiacfz688AKsXg0/+AFs3Qpf/jL06QOXXx4+DhMEUVeqA2DoIUmSJElSfX37wnXXwYIF8NZb8NnPwjPPwHHHwYQJ8MADdn7aThh6SJIkSZLUmFgMjj02fPylsBDuuw+qquBLX4J+/eA//zMMRtRmGXpIkiRJkrQ/XbrAlVfCe+/BnDlw5plhfx9HHQUnnwy/+x0kk1FXqd0YekiSJEmS1FSxGJxwAvzmN2HfHzNmhMPgnnVW2Pnp/ff76EsbYughSZIkSdLB6NkTrr8+DD0efxzy8uCrX4WBA8Nhb9esibrCDs/QQ5IkSZKkQ5GeDhdeGI7uMmdO+LjLXXfBkCHwhS/A4sVRV9hhGXpIkiRJktQcah59eeaZMOj44hfDx2AOPxwuugjefz/qCjscQw9JkiRJkppbQQH89KewfDlcc03Y0emYMXD22eEwuGoVhh6SJEmSJLWUPn3gBz+AFSvg1lvh9ddh0iQ4/XR4++2oq0t5hh6SJEmSJLW0/Hz47nfD8GPGDPj732HiRDjnHB97aUGGHpIkSZIktZbc3HDEl6VL4Xvfg1dfhaOPhs98BhYtirq6lGPoIUmSJElSa+vSBW6+GZYtgxtvhOefhyOOgCuugNWro64uZRh6SJIkSZIUlfx8uOOOMPy4+mp49FE47LAwENmxI+rq2j1DD0mSJEmSotarF9xzD3z4IZx1FkyfDiNGwC9+AVVVUVfXbhl6SJIkSZLUVgwdCo8/Dm++CcOGwZe/DGPHwksvQRBEXV27Y+ghSZIkSVJbc9xxMGcOPPUU7NwJU6fCpz4FixdHXVm7YughSZIkSVJbFIvB+efDBx/AD38Is2fDkUfCLbdAaWnU1bULhh6SJEmSJLVlmZlwzTXhkLbnnw+33x6GH88/H3VlbZ6hhyRJkiRJ7UG/fuHoLq++CllZcPbZ4SMvS5ZEXVmbZeghSZIkSVJ7ctJJMG9e+MjLX/4CRx0FM2Y4yksjDD0kSZIkSWpv0tPDR14+/BDOOANuvBEmToR33426sjbF0EOSJEmSpPaqf3949ll4+mkoKoJjj4UbbghHfJGhhyRJkiRJ7d5//Ec4ysvll8MPfgCjR4ejvXRwhh6SJEmSJKWCbt3gl7+EWbMgCMK+P669FsrKoq4sMoYekiRJkiSlko9/HN57D778ZfjRj2DCBPjHP6KuKhKGHpIkSZIkpZqcHLj/fnjxRdiyBSZNgttv73AjvBh6SJIkSZKUqs44A+bPhwsugFtugRNOgKVLo66q1Rh6SJIkSZKUyvLzYeZMePxx+OgjGDsWHnss6qpahaGHJEmSJEkdwYUXwrx54cguF10EV1wBJSVRV9WiDD0kSZIkSeooBg+Gv/wFvvMdeOihsJPTefOirqrFGHpIkiRJktSRpKXB9Onw8suwfXvYyel994XD3KYYQw9JkiRJkjqimqFtP/EJuOoquPhiqKiIuqpmZeghSZIkSVJH1bMnvPAC3HEHPP00aUuWRF1RszL0kCRJkiSpI4vH4dvfhp07qRo1KupqmpWhhyRJkiRJgkQi6gqanaGHJEmSJElKSYYekiRJkiQpJRl6SJIkSZKklGToIUmSJEmSUpKhhyRJkiRJSkmGHpIkSZIkKSUZekiSJEmSpJSU1loX2rFjB9dddx3FxcVUVlZy4403Mm7cOObNm8f3v/99EokEkydP5mtf+xrJZJJbb72VRYsWkZGRwfTp0xk8ePAhHytJkiRJkjqOVgs9fv3rX3Pcccdx+eWXs3TpUq655hqee+45vvvd73LvvfcycOBAvvSlL7FgwQIKCwupqKjgiSeeYN68edx1113cf//9h3zskUce2VpvV5IkSZIkRazVQo/LL7+cjIwMAKqrq8nMzKS4uJiKigoGDRoEwOTJk3nzzTfZsGEDU6ZMAWDs2LHMnz+/WY419JAkSZIkqeNokdDjqaee4uGHH26w7Y477mDMmDFs2LCB6667jptuuoni4mJycnJqj8nOzmbVqlV7bE8kEs1y7L5UVVVRVFR00O85Su21bqkpvL+Vyry/lcq8v5XqvMeVylLp/m6R0OOCCy7gggsu2GP7okWL+Na3vsX111/PxIkTKS4upqSkpHZ/SUkJXbp0oaysrMH2ZDJJTk7OIR+7L2lpafTt2/eg3m+UioqK2mXdUlN4fyuVeX8rlXl/K9V5jyuVtdf7e+vWrY1ub7XRWxYvXszXv/51fvSjH/Gxj30MgJycHNLT01m5ciVBEDBnzhyOOeYYxo8fz+zZswGYN28ehx12WLMcK0mSJEmSOo5W69PjRz/6ERUVFXz/+98HwsDj/vvv57bbbuPaa6+lurqayZMnc/TRRzN69GjeeOMNpk2bRhAE3HHHHQCHfKwkSZIkSeo4YkEQBFEX0RYsXLiQUaNGRV3GAWuvTY+kpvD+Virz/lYq8/5WqvMeVyprr/f33r7Tt9rjLZIkSZIkSa3J0EOSJEmSJKUkH2/ZZd68eWRmZkZdhiRJkiRJOkDl5eWMHTt2j+2GHpIkSZIkKSX5eIskSZIkSUpJhh6SJEmSJCklGXpIkiRJkqSUZOghSZIkSZJSkqGHJEmSJElKSYYekiRJkiQpJaVFXYAOTjKZ5NZbb2XRokVkZGQwffp0Bg8eHHVZ0gGprKzkpptuorCwkIqKCq688kqGDx/OjTfeSCwWY8SIEXz3u98lHo/zk5/8hNdee420tDRuuukmxowZE3X5UpNs2rSJ8847jwcffJC0tDTvb6WMn//857zyyitUVlbymc98hokTJ3p/K2VUVlZy4403UlhYSDwe5/bbb/d3uFLCe++9xw9/+EMeeeQRVqxY0eR7em/Htgfto0rt4eWXX6aiooInnniCa665hrvuuivqkqQD9vzzz5OXl8fMmTN54IEHuP3227nzzjv5xje+wcyZMwmCgFmzZrFgwQLeeustnnrqKX784x9z2223RV261CSVlZXccsstdOrUCcD7Wylj7ty5vPvuuzz22GM88sgjrF271vtbKeUvf/kLVVVVPP7441x11VX893//t/e42r0HHniA//qv/6K8vBw4sM8ljR3bXhh6tFPvvPMOU6ZMAWDs2LHMnz8/4oqkA3f66afz9a9/vXY9kUiwYMECJk6cCMCJJ57IX//6V9555x0mT55MLBajX79+VFdXs3nz5qjKlppsxowZTJs2jV69egF4fytlzJkzh8MOO4yrrrqKr3zlK5x00kne30opQ4cOpbq6mmQySXFxMWlpad7javcGDRrEvffeW7t+IPd0Y8e2F4Ye7VRxcTE5OTm164lEgqqqqggrkg5cdnY2OTk5FBcXc/XVV/ONb3yDIAiIxWK1+3fs2LHH/V6zXWrLnn32WfLz82sDasD7Wyljy5YtzJ8/n//5n//htttu49prr/X+VkrJysqisLCQM844g5tvvplLL73Ue1zt3mmnnUZaWl0PFwdyTzd2bHthnx7tVE5ODiUlJbXryWSywQ0stRdFRUVcddVVXHTRRZx55pncfffdtftKSkro0qXLHvd7SUkJubm5UZQrNdkzzzxDLBbjzTffZOHChdxwww0N/vXP+1vtWV5eHgUFBWRkZFBQUEBmZiZr166t3e/9rfbuoYceYvLkyVxzzTUUFRXx2c9+lsrKytr93uNKBfX75NjfPd3Yse2FLT3aqfHjxzN79mwA5s2bx2GHHRZxRdKB27hxI1dccQXXXXcd559/PgBHHHEEc+fOBWD27Nkcc8wxjB8/njlz5pBMJlmzZg3JZJL8/PwoS5f269FHH+U3v/kNjzzyCKNGjWLGjBmceOKJ3t9KCRMmTOD1118nCALWrVvHzp07Of74472/lTK6dOlSG1507dqVqqoqP6Mo5RzIPd3Yse1FLAiCIOoidOBqRm/56KOPCIKAO+64g2HDhkVdlnRApk+fzksvvURBQUHttu985ztMnz6dyspKCgoKmD59OolEgnvvvZfZs2eTTCb59re/3a5+0UqXXnopt956K/F4nJtvvtn7WynhBz/4AXPnziUIAr75zW8yYMAA72+ljJKSEm666SY2bNhAZWUll112GUcddZT3uNq91atX861vfYsnn3ySZcuWNfme3tux7YGhhyRJkiRJSkk+3iJJkiRJklKSoYckSZIkSUpJhh6SJEmSJCklGXpIkiRJkqSUZOghSZIkSZJSUlrUBUiSJAHcddddLFiwgA0bNlBWVsbAgQNJS0tjwoQJfO1rX2vWa/35z39mzJgx9O7du1nPK0mS2haHrJUkSW3Ks88+y9KlS7n22mtb7BqXXnopt956K8OGDWuxa0iSpOjZ0kOSJLVZc+fO5fHHH+eee+7h1FNPZdy4caxYsYLjjjuOHTt28M9//pOhQ4dy9913U1RUxM0330x5eTmZmZncfvvt5Ofn8/Wvf53i4mLKysq47rrr2LlzJwsXLuSGG25g5syZPPHEE7zwwgvEYjGmTp3KZZddxo033kgQBBQVFVFaWsqMGTMYMGDAHueaNGlS1D8iSZK0D4YekiSpXSgsLOThhx+mZ8+eTJw4kaeeeoqbb76ZT3ziE2zfvp0ZM2Zw6aWX8rGPfYw333yTH/7wh3zlK19h48aNPPTQQ2zatInly5dz0kknMWrUKG699VZWrlzJiy++yMyZM4nFYlx++eVMnjwZgIEDBzJjxgz+8pe/cPfdd3PNNdfscS5JktS2GXpIkqR2IS8vj379+gGQlZXF8OHDAcjNzaW8vJyPPvqIn//85/zyl78kCALS09MZMWIEF198Md/61reoqqri0ksvbXDOjz76iDVr1nD55ZcDsG3bNlauXAnAcccdB8C4ceO444479nsuSZLU9hh6SJKkdiEWi+1zf0FBAVdccQXjx49nyZIlvP322yxatIiSkhJ+8YtfsH79eqZNm8bJJ59MLBYjCAIKCgoYPnw4v/zlL4nFYjz00EMcdthh/OEPf2DBggUcc8wx/OMf/2DEiBF7PZckSWq7DD0kSVJKuOGGG7j11lspLy+nrKyM73znOwwZMoSf/vSn/Pa3vyU9PZ2rr74aCFtvXH/99Tz44IMcf/zxfOYzn6GioqLBiC6zZ89m1qxZJJNJ7rzzTnr16tXouSRJUtvl6C2SJEm7ufHGG5k6dSonnnhi1KVIkqRDEI+6AEmSJEmSpJZgSw9JkiRJkpSSbOkhSZIkSZJSkqGHJEmSJElKSYYekiRJkiQpJRl6SJIkSZKklGToIUmSJEmSUtL/B5uneVz4n4G2AAAAAElFTkSuQmCC\n"
+     },
+     "metadata": {}
+    },
+    {
+     "output_type": "display_data",
+     "data": {
+      "text/plain": "<Figure size 1080x504 with 1 Axes>",
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\n"
+     },
+     "metadata": {}
+    },
+    {
+     "output_type": "display_data",
+     "data": {
+      "text/plain": "<Figure size 1080x504 with 1 Axes>",
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\n"
+     },
+     "metadata": {}
+    }
+   ],
+   "source": [
+    "experiments = experiments.sort_values(by =['THRESHOLD']).reset_index(drop=True)\n",
+    "cols = 1\n",
+    "rows = 1\n",
+    "cc_idx = 0\n",
+    "\n",
+    "while cc_idx<len(experiments):\n",
+    "    cc = experiments.iloc[cc_idx]['THRESHOLD']\n",
+    "    cc_label = experiments.iloc[cc_idx]['THRESHOLD']\n",
+    "#     secondary_label = experiments.iloc[cc_idx]['route_allocation']\n",
+    "    sub_experiments = experiments[experiments['THRESHOLD']==cc]\n",
+    "    cc_idx += len(sub_experiments)\n",
+    "    fig, axs = plt.subplots(ncols=cols, nrows=rows, figsize=(15*cols,7*rows))\n",
+    "    sub_experiments.reset_index(drop=False)\n",
+    "    for i, experiment in sub_experiments.iterrows():\n",
+    "        df = experiment['dataset'].copy()\n",
+    "#         df.pool[0].state['unaware']['reputation'] = 0\n",
+    "#         df.pool.fillna(value = 0, inplace =True)\n",
+    "#         df.pool = df.pool.apply(lambda x:\n",
+    "#         df['unaware'] = df.pool.apply(lambda x: np.array(x.state['aware']['reputation']* x.state['aware']['pool']))\n",
+    "\n",
+    "        df['aware'] = df.pool.apply(lambda x: np.array(x.state['aware']['reputation']* x.state['aware']['pool']))\n",
+    "        df['adopted'] = df.pool.apply(lambda x: np.array(x.state['adopted']['reputation']* x.state['adopted']['pool']))\n",
+    "        df['loyal'] = df.pool.apply(lambda x: np.array(x.state['loyal']['reputation']* x.state['loyal']['pool']))\n",
+    "        df['churned'] = df.pool.apply(lambda x: np.array(x.state['churned']['reputation']* x.state['churned']['pool']))\n",
+    "\n",
+    "        ax.set_ylabel('Count')\n",
+    "        colors = ['b','orange', 'g', 'magenta', 'r']\n",
+    "\n",
+    "        plot_label = experiment['THRESHOLD']\n",
+    "        ax = axs\n",
+    "        title = 'Marketing Spend' + '\\n' + 'Scenario: ' + str(cc_label)  + ' THRESHOLD'\n",
+    "        ax.set_title(title)\n",
+    "\n",
+    "        colors = ['b','orange', 'g', 'magenta', 'r']\n",
+    "\n",
+    "#         ax.plot(df.timestep, df['unaware'],color = colors[0], label='Unaware')\n",
+    "        ax.plot(df.timestep, df['aware'],color = colors[1], label='Aware')\n",
+    "        ax.plot(df.timestep, df['adopted'],color = colors[2], label='Adopted')\n",
+    "        ax.plot(df.timestep, df['loyal'],color = colors[3], label='Loyal')\n",
+    "        ax.plot(df.timestep, df['churned'],color = colors[4], label='Churned')\n",
+    "                \n",
+    "        ax.legend()\n",
+    "\n",
+    "        ax.set_xlabel('Timesteps')\n",
+    "        ax.grid(color='0.9', linestyle='-', linewidth=1)\n",
+    "\n",
+    "        plt.tight_layout()\n",
+    "        \n",
+    "fig.tight_layout(rect=[0, 0, 1, .97])\n",
+    "fig.patch.set_alpha(1)\n",
+    "display(fig)\n",
+    "plt.close()\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "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": "3.6.5-final"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}
\ No newline at end of file
diff --git a/demos/adoption_funnel/images/adoptedtimestepthresholdplot.png b/demos/adoption_funnel/images/adoptedtimestepthresholdplot.png
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diff --git a/demos/adoption_funnel/images/churnedtimestepthresholdplot.png b/demos/adoption_funnel/images/churnedtimestepthresholdplot.png
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diff --git a/demos/adoption_funnel/images/loyaltimestepthresholdplot.png b/demos/adoption_funnel/images/loyaltimestepthresholdplot.png
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diff --git a/demos/adoption_funnel/images/signaltimestepthresholdplot.png b/demos/adoption_funnel/images/signaltimestepthresholdplot.png
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diff --git a/demos/adoption_funnel/images/state_machine.png b/demos/adoption_funnel/images/state_machine.png
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diff --git a/demos/adoption_funnel/src/__init__.py b/demos/adoption_funnel/src/__init__.py
new file mode 100644
index 0000000..e69de29
diff --git a/demos/adoption_funnel/src/sim/__init__.py b/demos/adoption_funnel/src/sim/__init__.py
new file mode 100644
index 0000000..e69de29
diff --git a/demos/adoption_funnel/src/sim/config.py b/demos/adoption_funnel/src/sim/config.py
new file mode 100644
index 0000000..fee82bd
--- /dev/null
+++ b/demos/adoption_funnel/src/sim/config.py
@@ -0,0 +1,58 @@
+
+from cadCAD.configuration import Experiment #.append_configs
+from cadCAD.configuration.utils import config_sim
+# if test notebook is in parent above /src
+from src.sim.model.state_variables import genesis_states
+from src.sim.model.partial_state_update_block import partial_state_update_block #, partial_state_update_block_B
+from src.sim.model.sys_params import sys_params #as sys_params_A
+from src.sim.model.utils import *
+
+from copy import deepcopy
+from cadCAD import configs
+import scipy.stats as stats
+# import networkx as nx
+import numpy as np
+
+from typing import Dict, List
+
+# from .utils import *
+
+# if test notebook is in /src
+# from model.state_variables import genesis_states
+# from model.partial_state_update_block import partial_state_update_block
+# from model.sys_params import sys_params as sys_params_A
+
+from src.sim.sim_setup import SIMULATION_TIME_STEPS, MONTE_CARLO_RUNS
+
+# sys_params: Dict[str, List[int]] = sys_params
+
+sim_config = config_sim(
+    {
+        'N': MONTE_CARLO_RUNS, 
+        'T': range(SIMULATION_TIME_STEPS), # number of timesteps
+        'M': sys_params,
+    }
+)
+
+exp = Experiment()
+
+# Experiment.append_configs()
+exp.append_configs(
+    sim_configs=sim_config,
+    initial_state=genesis_states,
+    partial_state_update_blocks=partial_state_update_block
+)
+
+
+# # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # 
+# # # # # # # # # # # # # # # # # # # # GENESIS SWEEP LOGIC # # # # # # # # # # # # # # # # # # # #
+# # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # 
+
+for c in configs: # for each configuration object
+    c.initial_state = deepcopy(c.initial_state) # make a deepcopy of the initial state dict (it's shared across configs by default)
+    # for k in c.initial_state: # for each state variable
+    #     if k in c.sim_config['M']: # if there is a param with the same name in the params dict
+    #         c.initial_state[k] = c.sim_config['M'][k] # assign the param value to the initial value of the state variable
+
+    c.initial_state['pool'] = Adoption_Pool(c.sim_config['M']['SOURCE_POOL'])
+    # c.initial_state['network']  = init_network(c.initial_state['network'], c.sim_config['M'])
\ No newline at end of file
diff --git a/demos/adoption_funnel/src/sim/model/__init__.py b/demos/adoption_funnel/src/sim/model/__init__.py
new file mode 100644
index 0000000..e69de29
diff --git a/demos/adoption_funnel/src/sim/model/partial_state_update_block.py b/demos/adoption_funnel/src/sim/model/partial_state_update_block.py
new file mode 100644
index 0000000..158d0da
--- /dev/null
+++ b/demos/adoption_funnel/src/sim/model/partial_state_update_block.py
@@ -0,0 +1,30 @@
+from src.sim.model.parts.marketing_signal import *
+from src.sim.model.parts.adoption import *
+
+partial_state_update_block = [
+    {
+    # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # #
+    # MARKETING SIGNAL GENERATION
+        'policies': {
+            'marketing_rate': p_marketing_rate,
+            'p_marketing_shock' : p_marketing_shock,
+        },
+        'variables': {
+            'signal': s_signal,
+        }
+    },
+    {
+    # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # #
+    # ADOPTION STATE
+        'policies': {
+            'reputation' : p_reputation,
+            'experience' : p_experience,
+        },
+        'variables': {
+            # 'adoption': s_adoption, # AGENT BASED
+            'pool': s_pool,           # SUB POPULATION BASED
+
+        }
+    },
+
+]
\ No newline at end of file
diff --git a/demos/adoption_funnel/src/sim/model/parts/__init__.py b/demos/adoption_funnel/src/sim/model/parts/__init__.py
new file mode 100644
index 0000000..e69de29
diff --git a/demos/adoption_funnel/src/sim/model/parts/adoption.py b/demos/adoption_funnel/src/sim/model/parts/adoption.py
new file mode 100644
index 0000000..4fb2956
--- /dev/null
+++ b/demos/adoption_funnel/src/sim/model/parts/adoption.py
@@ -0,0 +1,59 @@
+# import networkx as nx
+import numpy as np
+
+# from ..utils import *
+
+def p_reputation(params, substep, state_history, prev_state, **kwargs):
+    """
+    Policy for steady marketing spend signal generation.
+    """
+    # params = params[0]
+    constant = params['THRESHOLD']
+    random = np.random.normal(params['THRESHOLD'], scale = 1.0)
+    return {'reputation': constant}
+
+
+def p_experience(params, substep, state_history, prev_state, **kwargs):
+    """
+    Policy for steady marketing spend signal generation.
+    """
+    # params = params[0]
+    constant = params['EXO_EXPERIENCE']
+    random = np.random.normal(params['EXO_EXPERIENCE'], scale = 1.0)
+    return {'experience': constant}
+
+
+def s_adoption(params, substep, state_history, prev_state, policy_input, **kwargs):
+    """
+    State for generating signal from marketing.
+    """
+    key = 'adoption'
+ 
+    prev_state['adoption'].apply_signal(prev_state['signal'])
+    # value = policy_input['reputation'] + policy_input['experience']
+    prev_state['adoption'].set_threshold(params['THRESHOLD'])
+    prev_state['adoption'].determine_state(prev_state['signal'])
+    value = prev_state['adoption']
+    return (key, value)
+
+def s_pool(params, substep, state_history, prev_state, policy_input, **kwargs):
+    """
+    State for generating signal from marketing.
+    """
+    # params = params[0]
+    key = 'pool'
+    
+    prev_state['pool'].apply_signal(prev_state['signal'])
+
+
+    # value = policy_input['reputation'] + policy_input['experience']
+    # FIX THIS!
+    prev_state['pool'].set_threshold(ext_threshold=params['THRESHOLD'])
+
+    prev_state['pool'].calculate_drip(params['LEAK_COEFFICIENT'])
+    # print(prev_state['pool'])
+    prev_state['pool'].update_pools(params['LEAK_COEFFICIENT'])
+    # print(prev_state['pool'])
+    # prev_state['pool'].determine_state(prev_state['signal'])
+    value = prev_state['pool']
+    return (key, value)
\ No newline at end of file
diff --git a/demos/adoption_funnel/src/sim/model/parts/marketing_signal.py b/demos/adoption_funnel/src/sim/model/parts/marketing_signal.py
new file mode 100644
index 0000000..55d7783
--- /dev/null
+++ b/demos/adoption_funnel/src/sim/model/parts/marketing_signal.py
@@ -0,0 +1,40 @@
+# import networkx as nx
+import numpy as np
+
+# from ..utils import *
+
+def p_marketing_rate(params, substep, state_history, prev_state, **kwargs):
+    # params = params[0]
+    """
+    Policy for steady marketing spend signal generation.
+    """
+    constant = params['MARKETING_STEADY']
+    random = np.random.normal(params['MARKETING_STEADY'], scale = 1.0)
+    return {'steady_signal': constant}
+
+def p_marketing_shock(params, substep, state_history, prev_state, **kwargs):
+    """
+    Policy for shock marketing (spend and other sources).
+    """
+    # Expected number of shocks
+    # coded through parameter
+    # params = params[0]
+    freq = params['MARKETING_SHOCK_FREQ'] * 0.5
+
+    # expected but randomized through poisson
+    if np.random.poisson(freq) > params['MARKETING_SHOCK_FREQ']:
+        shock = params['MARKETING_SHOCK_MAG']
+    else:
+        shock = 0
+    return {'shock_signal': shock}
+
+def s_signal(params, substep, state_history, prev_state, policy_input, **kwargs):
+    """
+    State for generating signal from marketing.
+    """
+    key = 'signal'
+
+    value = policy_input['steady_signal'] + policy_input['shock_signal']
+    return (key, value)
+
+    
\ No newline at end of file
diff --git a/demos/adoption_funnel/src/sim/model/state_variables.py b/demos/adoption_funnel/src/sim/model/state_variables.py
new file mode 100644
index 0000000..72c42ce
--- /dev/null
+++ b/demos/adoption_funnel/src/sim/model/state_variables.py
@@ -0,0 +1,23 @@
+from datetime import datetime
+# import networkx as nx
+import numpy as np
+
+# from copy import deepcopy
+# import scipy.stats as stats
+# from .sys_params import sys_params
+from src.sim.model.utils import *
+
+# Initial Values
+signal = 0
+# state = 0
+adoption = Adoption()
+# pool = Adoption_Pool() # Iniialized in config loop using source_pool parameter
+
+## Genesis States #################################################
+genesis_states = {
+    'timestamp': datetime.strptime('2020-01-01 00:00:00', '%Y-%m-%d %H:%M:%S'),
+    'signal': signal,
+    # 'adoption': adoption,  # Agent Based
+    # 'pool' : pool,  # Iniialized in config loop using source_pool parameter
+
+}
\ No newline at end of file
diff --git a/demos/adoption_funnel/src/sim/model/sys_params.py b/demos/adoption_funnel/src/sim/model/sys_params.py
new file mode 100644
index 0000000..9c82b4a
--- /dev/null
+++ b/demos/adoption_funnel/src/sim/model/sys_params.py
@@ -0,0 +1,49 @@
+# import networkx as nx
+from pprint import pprint
+
+import numpy as np
+import itertools
+
+### MARKETING PARAMETERS #################################
+# uniform distribution of marketing signalling
+MARKETING_STEADY = [500]
+
+# Noisy shock marketing signalling magnitude and expected frequency
+MARKETING_SHOCK_MAG = [1234]
+MARKETING_SHOCK_FREQ = [2]
+
+### EXTERNAL EXPERIENCE PARAMETERS #################################
+# If UX/UI are not part of the model. Can use as an external signal to
+#  generate stochastic process for experience.
+EXO_EXPERIENCE = [140]
+
+### POPULATION POOL PARAMETERS #################################
+SOURCE_POOL = [100000] #, 12]
+
+### INITIAL THRESHOLD VALUE PARAMETERS #################################
+THRESHOLD = [0.1, 1, 2, 3]
+LEAK_COEFFICIENT = [0.01]
+
+
+#### USE ONLY FOR A/B WITH PARAMETER SWEEPS OR MULTIPLE PARAMETER SWEEPS #####
+
+factors = [MARKETING_STEADY,SOURCE_POOL, THRESHOLD, LEAK_COEFFICIENT]
+product = list(itertools.product(*factors))
+MARKETING_STEADY,SOURCE_POOL, THRESHOLD, LEAK_COEFFICIENT = zip(*product)
+MARKETING_STEADY = list(MARKETING_STEADY)
+SOURCE_POOL = list(SOURCE_POOL)
+THRESHOLD = list(THRESHOLD)
+LEAK_COEFFICIENT = list(LEAK_COEFFICIENT)
+
+
+
+# # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # 
+sys_params = {
+   'MARKETING_STEADY': MARKETING_STEADY,
+   'MARKETING_SHOCK_MAG': MARKETING_SHOCK_MAG, 
+   'MARKETING_SHOCK_FREQ': MARKETING_SHOCK_FREQ,
+   'EXO_EXPERIENCE': EXO_EXPERIENCE,
+   'SOURCE_POOL': SOURCE_POOL,
+   'THRESHOLD': THRESHOLD, 
+   'LEAK_COEFFICIENT': LEAK_COEFFICIENT,
+}
\ No newline at end of file
diff --git a/demos/adoption_funnel/src/sim/model/utils.py b/demos/adoption_funnel/src/sim/model/utils.py
new file mode 100644
index 0000000..95afe48
--- /dev/null
+++ b/demos/adoption_funnel/src/sim/model/utils.py
@@ -0,0 +1,568 @@
+class Adoption(): #args
+    """
+    Adoption class for defining state of network adoption
+    This is agent flavored, where each instance has an individualized reputation belief
+    and threshold transition value
+    """  
+    def __init__(self):
+        """
+        Adoption class initialized without a preset reputation
+        Unaware state
+        """        
+        self.reputation = None
+        self.state = 'unaware'
+
+ # when signal reaches above filtered threshold       
+    def apply_signal(self, signal):
+        """
+        Apply signal to reputation metric
+        """  
+        if self.reputation is None:
+            self.reputation = 0
+            self.state = 'aware'
+        if signal == 0: 
+            self.reputation =  0
+        elif signal > 0: 
+            self.reputation +=  1
+            
+        elif signal < 0: 
+            self.reputation -=  1
+
+            
+        
+    def apply_experience(self, experience):
+        """
+        Apply experience to reputation metric
+        """  
+        if experience > 0: 
+            self.reputation +=  1
+        
+        if experience < 0: 
+            self.reputation -=  1
+            
+
+    def determine_state(self, reputation=None, threshold= None):
+        """
+        Uses reputation and threshold to determine state
+        """  
+        
+
+        if threshold is None:
+            threshold = self.threshold
+            
+        if reputation is None:
+            reputation = self.reputation
+        
+        if reputation > threshold:
+            if self.state == 'aware':
+                self.state = 'adopted'
+                
+            elif self.state == 'adopted':
+                self.state = 'loyal'
+                       
+                
+        if reputation < threshold:
+            if self.state == 'adopted':
+                self.state = 'churned'
+        
+            elif self.state == 'loyal':
+                self.state = 'adopted'
+                
+    def set_threshold(self, default_threshold=20, ext_threshold=None):
+        """
+        Set threshold to current state
+        """  
+
+        if self.state == 'unaware':
+            if ext_threshold is not None:
+                self.threshold = ext_threshold
+            else:
+                self.threshold = default_threshold
+                
+        elif self.state == 'aware':
+            if ext_threshold is not None:
+                self.threshold = ext_threshold
+            else:
+                self.threshold = default_threshold
+                       
+        elif self.state == 'adopted':
+            if ext_threshold is not None:
+                self.threshold = ext_threshold
+            else:
+                self.threshold = default_threshold
+                
+        elif self.state == 'loyal':
+            if ext_threshold is not None:
+                self.threshold = ext_threshold
+            else:
+                self.threshold = default_threshold       
+                
+        elif self.state == 'churned':
+            if ext_threshold is not None:
+                self.threshold = ext_threshold
+            else:
+                self.threshold = default_threshold
+        
+    def __str__(self):
+        """
+        Print all attributes of an event
+        """
+        return str(self.__class__) + ": " + str(self.__dict__)
+
+# PUSHED VERSION 6*2*2020 before changing reputation
+# class Adoption_Pool(): #args
+#     """
+#     Adoption class for defining state of network adoption
+#     This is class is on the subpopulation level, where each state maitains a count of members
+#     and a mean of reputation in the addoption funnel
+#     and threshold transition value
+#     """  
+#     def __init__(self, pool):
+#         """
+#         Adoption class initialized without a preset reputation
+#         Unaware state
+#         """        
+
+#         self.state = {'unaware': {'pool': pool, 'reputation': None,},
+#                       'aware': {'pool': 0, 'reputation': 0},
+#                       'adopted': {'pool': 0, 'reputation': 0},
+#                       'loyal': {'pool': 0, 'reputation': 0},
+#                       'churned': {'pool': 0, 'reputation': 0},
+#                     }
+#         # self.state.pool = pool
+#         # self.pool = pool
+#         # self.reputation = None
+#         self.threshold = 0.5
+
+#  # when signal reaches above filtered threshold       
+#     def apply_signal(self, signal):
+#         """
+#         Apply signal to reputation metric
+#         FILTER HERE OR BEFORE
+#         """  
+#         print(self.state['unaware'])
+#         if self.state['unaware']['reputation'] is None:
+#             self.state['unaware']['reputation'] = 0
+
+#         if signal == 0: 
+#             self.state['unaware']['reputation']  =  0
+#         elif signal > 0: 
+#             self.state['unaware']['reputation'] +=  1
+
+#         elif signal < 0: 
+#             self.state['unaware']['reputation'] -=  1
+        
+            
+        
+#     def apply_experience(self, experience):
+#         """
+#         Apply experience to reputation metric
+#         """  
+#         if experience > 0: 
+#             self.reputation +=  1
+        
+#         if experience < 0: 
+#             self.reputation -=  1
+            
+    
+#     def calculate_drip(self, delta):
+#         """
+#         Calculate drip for each state
+#         """  
+#         for key, value in self.state.items():
+#             if value['reputation'] is not None:
+#     #                 if key is 'unaware':
+#                 if value['reputation'] > self.threshold:
+#             # NOT THRESHOLD BUT THRESHOLD*POOL
+#                     value['drip'] = delta * (value['reputation'] * value['pool'] - self.threshold * value['pool'])
+#                     value['reputation'] -= delta * value['reputation']
+
+# #     #                 if key is 'aware':
+# #                 if value['reputation'] > self.threshold:
+# #             # NOT THRESHOLD BUT THRESHOLD*POOL
+# #                     value['drip'] = delta * (value['reputation'] * value['pool'] - self.threshold * value['pool'])
+# #                     value['reputation'] -= delta * value['reputation']
+
+# #     #                 if key is 'adopted':
+# #                 if value['reputation'] > self.threshold:
+# #             # NOT THRESHOLD BUT THRESHOLD*POOL
+# #                     value['drip'] = delta * (value['reputation'] * value['pool'] - self.threshold * value['pool'])
+# #                     value['reputation'] -= delta * value['reputation']
+
+#                 if value['reputation'] < self.threshold:
+#             # NOT THRESHOLD BUT THRESHOLD*POOL
+#                     value['neg_drip'] = - delta * (value['reputation'] * value['pool'] - self.threshold * value['pool'])
+# #                     value['reputation'] += delta * value['reputation']
+        
+
+#     def update_pools(self, delta):
+#         """
+#         Update pool from drip for each state
+#         """  
+#         for key, value in self.state.items():
+#             print(key)
+#             if 'drip' in value.keys():
+                
+                
+#                 # MUST USE == , NOT is in CADCAD
+#                 if key == 'unaware':
+#                     print('triggered 2')
+#                     self.state['aware']['pool'] += value['drip']
+#                     self.state['aware']['reputation'] += delta * value['reputation']
+#                     value['pool'] -= value['drip']
+                
+#                 elif key == 'aware':
+#                     self.state['adopted']['pool'] += value['drip']
+#                     self.state['adopted']['reputation'] += delta * value['reputation']
+#                     value['pool'] -= value['drip']
+
+                    
+#                 elif key == 'adopted':
+#                     self.state['loyal']['pool'] += value['drip']
+#                     self.state['loyal']['reputation'] += delta * value['reputation']
+#                     value['pool'] -= value['drip']
+
+                
+# #                 elif key is 'adopted': # AND NEGATIVE FLAG FOR NEGATIVE
+# #                     self.state['churned']['pool'] += value['drip']
+# #                     self.state['adopted']['reputation'] += delta * value['reputation']
+
+                    
+# #                 elif key is 'loyal':
+# #                     self.state['adopted']['pool'] += value['drip']
+                    
+#                 elif key == 'churned':
+#                     self.state['adopted']['pool'] += value['drip']
+#                     self.state['adopted']['reputation'] += delta * value['reputation']
+#                     value['pool'] -= value['drip']
+
+                
+                
+#                 value['drip'] = 0
+                
+#             if 'neg_drip' in value.keys():
+                
+                                  
+#                 if key == 'adopted':
+#                     print('neg drip adopted',value['neg_drip'])
+#                     self.state['churned']['pool'] += value['neg_drip']
+#                     self.state['churned']['reputation'] -= delta * value['reputation']
+#                     value['pool'] -= value['neg_drip']
+#                     value['neg_drip'] = 0
+                
+#                 elif key == 'loyal': # AND NEGATIVE FLAG FOR NEGATIVE
+#                     print('neg drip loyal',value['neg_drip'])
+#                     self.state['adopted']['pool'] += value['neg_drip']
+#                     self.state['adopted']['reputation'] -= delta * value['reputation']
+#                     value['pool'] -= value['neg_drip']
+
+                    
+                    
+# #                 elif key is 'loyal':
+# #                     self.state['adopted']['pool'] += value['drip']
+                    
+# #                 elif key is 'churned':
+# #                     self.state['adopted']['pool'] += value['drip']
+                
+#                     value['neg_drip'] = 0
+                
+
+    
+#     def determine_state(self, reputation=None, threshold= None):
+#         """
+#         Uses reputation and threshold to determine state
+#         """  
+#         if threshold is None:
+#             threshold = self.threshold
+            
+#         if reputation is None:
+#             reputation = self.reputation
+        
+#         if reputation > threshold:
+#             if self.state == 'aware':
+#                 self.state = 'adopted'
+                
+#             elif self.state == 'adopted':
+#                 self.state = 'loyal'
+                       
+                
+#         if reputation < threshold:
+#             if self.state == 'adopted':
+#                 self.state = 'churned'
+        
+#             elif self.state == 'loyal':
+#                 self.state = 'adopted'
+                
+#     def set_threshold(self, default_threshold=0.5, ext_threshold=None):
+#         """
+#         Set threshold to current state
+#         """  
+#         if ext_threshold is not None:
+#             self.threshold = ext_threshold
+#         if self.state == 'unaware':
+#             if ext_threshold is not None:
+#                 self.threshold = ext_threshold
+#             else:
+#                 self.threshold = default_threshold
+                
+#         elif self.state == 'aware':
+#             if ext_threshold is not None:
+#                 self.threshold = ext_threshold
+#             else:
+#                 self.threshold = default_threshold
+                       
+#         elif self.state == 'adopted':
+#             if ext_threshold is not None:
+#                 self.threshold = ext_threshold
+#             else:
+#                 self.threshold = default_threshold
+                
+#         elif self.state == 'loyal':
+#             if ext_threshold is not None:
+#                 self.threshold = ext_threshold
+#             else:
+#                 self.threshold = default_threshold       
+                
+#         elif self.state == 'churned':
+#             if ext_threshold is not None:
+#                 self.threshold = ext_threshold
+#             else:
+#                 self.threshold = default_threshold
+        
+#     def __str__(self):
+#         """
+#         Print all attributes of an event
+#         """
+#         return str(self.__class__) + ": " + str(self.__dict__)
+
+class Adoption_Pool(): #args
+    """
+    Adoption class for defining state of network adoption
+    This is class is on the subpopulation level, where each state maitains a count of members
+    and a mean of reputation in the addoption funnel
+    and threshold transition value
+    """  
+    def __init__(self, pool):
+        """
+        Adoption class initialized without a preset reputation
+        Unaware state
+        """        
+
+        self.state = {'unaware': {'pool': pool, 'reputation': None,},
+                      'aware': {'pool': 0, 'reputation': 0},
+                      'adopted': {'pool': 0, 'reputation': 0},
+                      'loyal': {'pool': 0, 'reputation': 0},
+                      'churned': {'pool': 0, 'reputation': 0},
+                    }
+        # self.state.pool = pool
+        # self.pool = pool
+        # self.reputation = None
+        self.threshold = 0.5
+
+ # when signal reaches above filtered threshold       
+    def apply_signal(self, signal):
+        """
+        Apply signal to reputation metric
+        FILTER HERE OR BEFORE
+        """  
+        # print(self.state['unaware'])
+        if self.state['unaware']['reputation'] is None:
+            self.state['unaware']['reputation'] = 0
+
+        if signal == 0: 
+            self.state['unaware']['reputation']  =  0
+        elif signal > 0: 
+            self.state['unaware']['reputation'] +=  1
+
+        elif signal < 0: 
+            self.state['unaware']['reputation'] -=  1
+        
+            
+        
+    def apply_experience(self, experience):
+        """
+        Apply experience to reputation metric
+        """  
+        if experience > 0: 
+            self.reputation +=  1
+        
+        if experience < 0: 
+            self.reputation -=  1
+            
+    
+    def calculate_drip(self, delta):
+        """
+        Calculate drip for each state
+        """  
+        for key, value in self.state.items():
+            if value['reputation'] is not None:
+    #                 if key is 'unaware':
+                if value['reputation'] > self.threshold:
+            # NOT THRESHOLD BUT THRESHOLD*POOL
+                    value['drip'] = delta * (value['reputation'] * value['pool'] - self.threshold * value['pool']) / value['reputation'] 
+
+                    # value['reputation'] -= delta * value['reputation']
+
+#     #                 if key is 'aware':
+#                 if value['reputation'] > self.threshold:
+#             # NOT THRESHOLD BUT THRESHOLD*POOL
+#                     value['drip'] = delta * (value['reputation'] * value['pool'] - self.threshold * value['pool'])
+#                     value['reputation'] -= delta * value['reputation']
+
+#     #                 if key is 'adopted':
+#                 if value['reputation'] > self.threshold:
+#             # NOT THRESHOLD BUT THRESHOLD*POOL
+#                     value['drip'] = delta * (value['reputation'] * value['pool'] - self.threshold * value['pool'])
+#                     value['reputation'] -= delta * value['reputation']
+
+                if value['reputation'] < self.threshold:
+            # NOT THRESHOLD BUT THRESHOLD*POOL
+                    value['neg_drip'] = - delta * (value['reputation'] * value['pool'] - self.threshold * value['pool'])
+#                     value['reputation'] += delta * value['reputation']
+        
+
+    def update_pools(self, delta):
+        """
+        Update pool from drip for each state
+        """  
+        for key, value in self.state.items():
+            # print(key)
+            if 'drip' in value.keys():
+                
+                
+                # MUST USE == , NOT is in CADCAD
+                if key == 'unaware':
+                    # print('triggered 2')
+  
+                    self.state['aware']['reputation'] = ((self.state['aware']['pool'] * self.state['aware']['reputation']) + (delta * value['reputation'] *  value['drip'])) / (self.state['aware']['pool'] + value['drip'])
+                    value['reputation'] = ((value['pool'] * value['reputation']) - (delta * value['reputation'] *  value['drip'])) / (value['pool'] - value['drip'])
+                    value['pool'] -= value['drip']
+                    self.state['aware']['pool'] += value['drip']
+
+                elif key == 'aware':
+                    self.state['adopted']['reputation'] = ((self.state['adopted']['pool'] * self.state['adopted']['reputation']) + (delta * value['reputation'] *  value['drip'])) / (self.state['adopted']['pool'] + value['drip'])
+                    value['reputation'] = ((value['pool'] * value['reputation']) - (delta * value['reputation'] *  value['drip'])) / (value['pool'] - value['drip'])
+
+                    value['pool'] -= value['drip']
+                    self.state['adopted']['pool'] += value['drip']
+                    
+                elif key == 'adopted':
+                    self.state['loyal']['reputation'] = ((self.state['loyal']['pool'] * self.state['loyal']['reputation']) + (delta * value['reputation'] *  value['drip'])) / (self.state['loyal']['pool'] + value['drip'])
+                    value['reputation'] = ((value['pool'] * value['reputation']) - (delta * value['reputation'] *  value['drip'])) / (value['pool'] - value['drip'])
+
+                    value['pool'] -= value['drip']
+                    self.state['loyal']['pool'] += value['drip']
+
+                
+#                 elif key is 'adopted': # AND NEGATIVE FLAG FOR NEGATIVE
+#                     self.state['churned']['pool'] += value['drip']
+#                     self.state['adopted']['reputation'] += delta * value['reputation']
+
+                    
+#                 elif key is 'loyal':
+#                     self.state['adopted']['pool'] += value['drip']
+                    
+                elif key == 'churned':
+                    self.state['adopted']['reputation'] = ((self.state['adopted']['pool'] * self.state['adopted']['reputation']) + (delta * value['reputation'] *  value['drip'])) / (self.state['adopted']['pool'] + value['drip'])
+                    value['reputation'] = ((value['pool'] * value['reputation']) - (delta * value['reputation'] *  value['drip'])) / (value['pool'] - value['drip'])
+
+                    value['pool'] -= value['drip']
+                    self.state['adopted']['pool'] += value['drip']
+                
+                
+                value['drip'] = 0
+                
+            if 'neg_drip' in value.keys():
+                
+                                  
+                if key == 'adopted':
+                    # print('neg drip adopted',value['neg_drip'])
+                    self.state['churned']['pool'] += value['neg_drip']
+                    self.state['churned']['reputation'] -= delta * value['reputation']
+                    value['pool'] -= value['neg_drip']
+                    value['neg_drip'] = 0
+                
+                elif key == 'loyal': # AND NEGATIVE FLAG FOR NEGATIVE
+                    # print('neg drip loyal',value['neg_drip'])
+                    self.state['adopted']['pool'] += value['neg_drip']
+                    self.state['adopted']['reputation'] -= delta * value['reputation']
+                    value['pool'] -= value['neg_drip']
+
+                    
+                    
+#                 elif key is 'loyal':
+#                     self.state['adopted']['pool'] += value['drip']
+                    
+#                 elif key is 'churned':
+#                     self.state['adopted']['pool'] += value['drip']
+                
+                    value['neg_drip'] = 0
+                
+
+    
+    def determine_state(self, reputation=None, threshold= None):
+        """
+        Uses reputation and threshold to determine state
+        """  
+        if threshold is None:
+            threshold = self.threshold
+            
+        if reputation is None:
+            reputation = self.reputation
+        
+        if reputation > threshold:
+            if self.state == 'aware':
+                self.state = 'adopted'
+                
+            elif self.state == 'adopted':
+                self.state = 'loyal'
+                       
+                
+        if reputation < threshold:
+            if self.state == 'adopted':
+                self.state = 'churned'
+        
+            elif self.state == 'loyal':
+                self.state = 'adopted'
+                
+    def set_threshold(self, default_threshold=0.5, ext_threshold=None):
+        """
+        Set threshold to current state
+        """  
+        if ext_threshold is not None:
+            self.threshold = ext_threshold
+        if self.state == 'unaware':
+            if ext_threshold is not None:
+                self.threshold = ext_threshold
+            else:
+                self.threshold = default_threshold
+                
+        elif self.state == 'aware':
+            if ext_threshold is not None:
+                self.threshold = ext_threshold
+            else:
+                self.threshold = default_threshold
+                       
+        elif self.state == 'adopted':
+            if ext_threshold is not None:
+                self.threshold = ext_threshold
+            else:
+                self.threshold = default_threshold
+                
+        elif self.state == 'loyal':
+            if ext_threshold is not None:
+                self.threshold = ext_threshold
+            else:
+                self.threshold = default_threshold       
+                
+        elif self.state == 'churned':
+            if ext_threshold is not None:
+                self.threshold = ext_threshold
+            else:
+                self.threshold = default_threshold
+        
+    def __str__(self):
+        """
+        Print all attributes of an event
+        """
+        return str(self.__class__) + ": " + str(self.__dict__)
\ No newline at end of file
diff --git a/demos/adoption_funnel/src/sim/run.py b/demos/adoption_funnel/src/sim/run.py
new file mode 100644
index 0000000..89575b3
--- /dev/null
+++ b/demos/adoption_funnel/src/sim/run.py
@@ -0,0 +1,165 @@
+# The following imports NEED to be in the exact order
+from cadCAD import configs
+######### ADD FOR PRINTING CONFIG
+from cadCAD.configuration.utils import *
+from cadCAD.engine import ExecutionMode, ExecutionContext, Executor
+
+from src.sim import config
+
+
+exec_mode = ExecutionMode()
+exec_ctx = ExecutionContext(context=exec_mode.multi_proc)
+simulation = Executor(exec_context=exec_ctx, configs=configs)
+raw_system_events, tensor_field, session = simulation.execute()
+df = pd.DataFrame(raw_system_events)
+
+def get_M(k, v):
+    if k == 'sim_config':
+        k, v = 'M', v['M']
+    return k, v
+
+config_ids = [
+    dict(
+        get_M(k, v) for k, v in config.__dict__.items() if k in ['simulation_id', 'run_id', 'sim_config', 'subset_id']
+    ) for config in configs
+]
+
+# 4.18 Method MC
+def run(drop_midsteps=True, df = df):
+    # results = df
+    print('config_ids = ', config_ids)
+    # sub_dfs = pd.DataFrame(columns= range(max(df.subset)+1))
+    
+    results = pd.DataFrame()
+    for i, config_id in enumerate(config_ids):
+        params = config_id['M']
+        result_record = pd.DataFrame.from_records([tuple([i for i in params.values()])], columns=list(params.keys()))
+        sub_df = df[df.subset == config_id['subset_id']]
+        # sub_df = df[df.subset == config_id['subset_id']][df.run == config_id['run_id'] + 1]
+
+        print(sub_df.head())
+        if drop_midsteps:
+            max_substep = max(sub_df.substep)
+            is_droppable = (sub_df.substep != max_substep) & (sub_df.substep != 0)
+            sub_df.drop(sub_df[is_droppable].index, inplace=True)
+
+
+        # subset_id = max(sub_df.subset)
+        # print(max(df.subset))
+        # # sub_dfs = pd.DataFrame()
+        # # if max(sub_df.subset) ==  
+        # sub_dfs[subset_id].append(sub_df, ignore_index=True)
+        # sub_dfs[subset_id].append(sub_df[subset_id])
+        # sub_dfs[subset_id] = pd.concat(sub_dfs[subset_id])
+        
+
+        result_record['dataset'] = [sub_df]
+        results = results.append(result_record)
+
+    return results.reset_index()
+
+
+
+# 4.18 Method One-Run
+# def run(drop_midsteps=True, df = df):
+#     # results = df
+#     print('config_ids = ', config_ids)
+#     sub_dfs = pd.DataFrame(columns= range(max(df.subset)+1))
+    
+#     results = pd.DataFrame()
+#     for i, config_id in enumerate(config_ids):
+#         params = config_id['M']
+#         # result_record = pd.DataFrame.from_records([tuple([i for i in params.values()])], columns=list(params.keys()))
+#         # sub_df = df[df.subset == config_id['subset_id']]
+#         sub_df = df[df.subset == config_id['subset_id']][df.run == config_id['run_id'] + 1]
+
+#         print(sub_df.head())
+#         if drop_midsteps:
+#             max_substep = max(sub_df.substep)
+#             is_droppable = (sub_df.substep != max_substep) & (sub_df.substep != 0)
+#             sub_df.drop(sub_df[is_droppable].index, inplace=True)
+
+
+#         # subset_id = max(sub_df.subset)
+#         # print(max(df.subset))
+#         # # sub_dfs = pd.DataFrame()
+#         # # if max(sub_df.subset) ==  
+#         # sub_dfs[subset_id].append(sub_df, ignore_index=True)
+#         # sub_dfs[subset_id].append(sub_df[subset_id])
+#         # sub_dfs[subset_id] = pd.concat(sub_dfs[subset_id])
+        
+#         result_record['dataset'] = [sub_df]
+#         results = results.append(result_record)
+
+#     return results.reset_index()
+
+# 4.17 method
+
+# def run(drop_midsteps=True):
+#     print('config_ids = ', config_ids)
+#     result_records_list, sim_id_records = [], []
+#     results = pd.DataFrame()
+#     sim_ids = list(set([_id['simulation_id'] for _id in config_ids]))
+#     sim_dfs = {_id: [] for _id in sim_ids}
+#     for i, config_id in enumerate(config_ids):
+#         sim_id, run_id = config_id['simulation_id'], config_id['run_id']
+#         params = config_id['M']
+#         result_record = pd.DataFrame.from_records([tuple([i for i in params.values()])], columns=list(params.keys()))
+
+#         mod_record = {'sim_id': sim_id, 'meta': result_record}
+#         if sim_id not in sim_id_records:
+#             sim_id_records.append(sim_id)
+#             result_records_list.append(mod_record)
+
+#         sim_id = config_id['simulation_id']
+#         print('sim id first loop = ',sim_id)
+
+#         sub_df = df[df.simulation == config_id['simulation_id']][df.run == config_id['run_id'] + 1]
+#         sim_dfs[sim_id].append(sub_df)
+#         # print(sub_df[['simulation', 'run', 'substep', 'timestep']].tail(5))
+#         # print(sub_df.tail(5))
+
+#     for sim_id in sim_ids:
+#         result_record = [d for d in result_records_list if d['sim_id'] == sim_id][0]['meta']
+#         sim_dfs[sim_id] = pd.concat(sim_dfs[sim_id])
+#         sub_df = sim_dfs[sim_id]
+
+#         print('sim id second loop = ',sim_id)
+#         # keep only last substep of each timestep
+#         if drop_midsteps:
+#             max_substep = max(sub_df.substep)
+#             is_droppable = (sub_df.substep != max_substep) & (sub_df.substep != 0)
+#             sub_df.drop(sub_df[is_droppable].index, inplace=True)
+
+#         # print(sub_df.head(3))
+#         # print(sub_df.tail(3))
+#         result_record['dataset'] = [sub_df]
+#         results = results.append(result_record)
+#         # print(sub_df[['simulation', 'run', 'substep', 'timestep']].tail(5))
+
+#     return results.reset_index()
+
+# RUN on 0.3.15
+def run_3(drop_midsteps=True):
+    exec_mode = ExecutionMode()
+    multi_proc_ctx = ExecutionContext(context=exec_mode.multi_proc)
+    run = Executor(exec_context=multi_proc_ctx, configs=configs)
+    results = pd.DataFrame()
+    i = 0
+    for raw_result, _ in run.execute():
+        params = configs[i].sim_config['M']
+        result_record = pd.DataFrame.from_records([tuple([i for i in params.values()])], columns=list(params.keys()))
+
+        df = pd.DataFrame(raw_result)
+        # keep only last substep of each timestep
+        if drop_midsteps:
+            max_substep = max(df.substep)
+            is_droppable = (df.substep != max_substep) & (df.substep != 0)
+            df.drop(df[is_droppable].index, inplace=True)
+
+        result_record['dataset'] = [df]
+        results = results.append(result_record)
+        i += 1
+    return results.reset_index()
+
+print(run().head(1))
diff --git a/demos/adoption_funnel/src/sim/sim_setup.py b/demos/adoption_funnel/src/sim/sim_setup.py
new file mode 100644
index 0000000..d803aca
--- /dev/null
+++ b/demos/adoption_funnel/src/sim/sim_setup.py
@@ -0,0 +1,11 @@
+# from ..model.parts.timestamp import DAYS_PER_TIMESTEP
+
+#simulation configuration parameters
+SIMULATION_TIME_STEPS = int(1000)  # timestep
+
+# N monte carlo runs
+MONTE_CARLO_RUNS = 1
+
+# time configuration parameters
+DAYS_PER_TIMESTEP = 1
+SIMULATION_TIME_YEARS = 0.5
\ No newline at end of file
diff --git a/demos/adoption_funnel/test.ipynb b/demos/adoption_funnel/test.ipynb
new file mode 100644
index 0000000..b6a0768
--- /dev/null
+++ b/demos/adoption_funnel/test.ipynb
@@ -0,0 +1,87 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [
+    {
+     "output_type": "stream",
+     "name": "stdout",
+     "text": "\n                  ___________    ____\n  ________ __ ___/ / ____/   |  / __ \\\n / ___/ __` / __  / /   / /| | / / / /\n/ /__/ /_/ / /_/ / /___/ ___ |/ /_/ /\n\\___/\\__,_/\\__,_/\\____/_/  |_/_____/\nby cadCAD\n\nExecution Mode: multi_proc\nConfiguration Count: 1\nDimensions of the first simulation: (Timesteps, Params, Runs, Vars) = (1000, 7, 4, 3)\nExecution Method: parallelize_simulations\nExecution Mode: parallelized\nTotal execution time: 2.50s\nconfig_ids =  [{'M': {'MARKETING_STEADY': 500, 'MARKETING_SHOCK_MAG': 1234, 'MARKETING_SHOCK_FREQ': 2, 'EXO_EXPERIENCE': 140, 'SOURCE_POOL': 100000, 'THRESHOLD': 0.1, 'LEAK_COEFFICIENT': 0.01}, 'simulation_id': 0, 'run_id': 0, 'subset_id': 0}, {'M': {'MARKETING_STEADY': 500, 'MARKETING_SHOCK_MAG': 1234, 'MARKETING_SHOCK_FREQ': 2, 'EXO_EXPERIENCE': 140, 'SOURCE_POOL': 100000, 'THRESHOLD': 1, 'LEAK_COEFFICIENT': 0.01}, 'simulation_id': 0, 'run_id': 1, 'subset_id': 1}, {'M': {'MARKETING_STEADY': 500, 'MARKETING_SHOCK_MAG': 1234, 'MARKETING_SHOCK_FREQ': 2, 'EXO_EXPERIENCE': 140, 'SOURCE_POOL': 100000, 'THRESHOLD': 2, 'LEAK_COEFFICIENT': 0.01}, 'simulation_id': 0, 'run_id': 2, 'subset_id': 2}, {'M': {'MARKETING_STEADY': 500, 'MARKETING_SHOCK_MAG': 1234, 'MARKETING_SHOCK_FREQ': 2, 'EXO_EXPERIENCE': 140, 'SOURCE_POOL': 100000, 'THRESHOLD': 3, 'LEAK_COEFFICIENT': 0.01}, 'simulation_id': 0, 'run_id': 3, 'subset_id': 3}]\n   timestamp  signal                                               pool  \\\n0 2020-01-01       0  <class 'src.sim.model.utils.Adoption_Pool'>: {...   \n1 2020-01-01    1734  <class 'src.sim.model.utils.Adoption_Pool'>: {...   \n2 2020-01-01    1734  <class 'src.sim.model.utils.Adoption_Pool'>: {...   \n3 2020-01-01    1734  <class 'src.sim.model.utils.Adoption_Pool'>: {...   \n4 2020-01-01    1734  <class 'src.sim.model.utils.Adoption_Pool'>: {...   \n\n   simulation  subset  run  substep  timestep  \n0           0       0    1        0         0  \n1           0       0    1        1         1  \n2           0       0    1        2         1  \n3           0       0    1        1         2  \n4           0       0    1        2         2  \n      timestamp  signal                                               pool  \\\n2001 2020-01-01       0  <class 'src.sim.model.utils.Adoption_Pool'>: {...   \n2002 2020-01-01     500  <class 'src.sim.model.utils.Adoption_Pool'>: {...   \n2003 2020-01-01     500  <class 'src.sim.model.utils.Adoption_Pool'>: {...   \n2004 2020-01-01     500  <class 'src.sim.model.utils.Adoption_Pool'>: {...   \n2005 2020-01-01     500  <class 'src.sim.model.utils.Adoption_Pool'>: {...   \n\n      simulation  subset  run  substep  timestep  \n2001           0       1    1        0         0  \n2002           0       1    1        1         1  \n2003           0       1    1        2         1  \n2004           0       1    1        1         2  \n2005           0       1    1        2         2  \n      timestamp  signal                                               pool  \\\n4002 2020-01-01       0  <class 'src.sim.model.utils.Adoption_Pool'>: {...   \n4003 2020-01-01     500  <class 'src.sim.model.utils.Adoption_Pool'>: {...   \n4004 2020-01-01     500  <class 'src.sim.model.utils.Adoption_Pool'>: {...   \n4005 2020-01-01     500  <class 'src.sim.model.utils.Adoption_Pool'>: {...   \n4006 2020-01-01     500  <class 'src.sim.model.utils.Adoption_Pool'>: {...   \n\n      simulation  subset  run  substep  timestep  \n4002           0       2    2        0         0  \n4003           0       2    2        1         1  \n4004           0       2    2        2         1  \n4005           0       2    2        1         2  \n4006           0       2    2        2         2  \n      timestamp  signal                                               pool  \\\n6003 2020-01-01       0  <class 'src.sim.model.utils.Adoption_Pool'>: {...   \n6004 2020-01-01     500  <class 'src.sim.model.utils.Adoption_Pool'>: {...   \n6005 2020-01-01     500  <class 'src.sim.model.utils.Adoption_Pool'>: {...   \n6006 2020-01-01     500  <class 'src.sim.model.utils.Adoption_Pool'>: {...   \n6007 2020-01-01     500  <class 'src.sim.model.utils.Adoption_Pool'>: {...   \n\n      simulation  subset  run  substep  timestep  \n6003           0       3    3        0         0  \n6004           0       3    3        1         1  \n6005           0       3    3        2         1  \n6006           0       3    3        1         2  \n6007           0       3    3        2         2  \n   index  MARKETING_STEADY  MARKETING_SHOCK_MAG  MARKETING_SHOCK_FREQ  \\\n0      0               500                 1234                     2   \n\n   EXO_EXPERIENCE  SOURCE_POOL  THRESHOLD  LEAK_COEFFICIENT  \\\n0             140       100000        0.1              0.01   \n\n                                             dataset  \n0        timestamp  signal                       ...  \n"
+    }
+   ],
+   "source": [
+    "# Import configuration\n",
+    "from src.sim import run\n",
+    "\n",
+    "# For plotting\n",
+    "import matplotlib.pyplot as plt\n",
+    "import seaborn as sns\n",
+    "\n",
+    "# For analysis\n",
+    "import numpy as np\n",
+    "import pandas as pd\n",
+    "\n",
+    "sns.set_style(\"whitegrid\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [
+    {
+     "output_type": "stream",
+     "name": "stdout",
+     "text": "config_ids =  [{'M': {'MARKETING_STEADY': 500, 'MARKETING_SHOCK_MAG': 1234, 'MARKETING_SHOCK_FREQ': 2, 'EXO_EXPERIENCE': 140, 'SOURCE_POOL': 100000, 'THRESHOLD': 0.1, 'LEAK_COEFFICIENT': 0.01}, 'simulation_id': 0, 'run_id': 0, 'subset_id': 0}, {'M': {'MARKETING_STEADY': 500, 'MARKETING_SHOCK_MAG': 1234, 'MARKETING_SHOCK_FREQ': 2, 'EXO_EXPERIENCE': 140, 'SOURCE_POOL': 100000, 'THRESHOLD': 1, 'LEAK_COEFFICIENT': 0.01}, 'simulation_id': 0, 'run_id': 1, 'subset_id': 1}, {'M': {'MARKETING_STEADY': 500, 'MARKETING_SHOCK_MAG': 1234, 'MARKETING_SHOCK_FREQ': 2, 'EXO_EXPERIENCE': 140, 'SOURCE_POOL': 100000, 'THRESHOLD': 2, 'LEAK_COEFFICIENT': 0.01}, 'simulation_id': 0, 'run_id': 2, 'subset_id': 2}, {'M': {'MARKETING_STEADY': 500, 'MARKETING_SHOCK_MAG': 1234, 'MARKETING_SHOCK_FREQ': 2, 'EXO_EXPERIENCE': 140, 'SOURCE_POOL': 100000, 'THRESHOLD': 3, 'LEAK_COEFFICIENT': 0.01}, 'simulation_id': 0, 'run_id': 3, 'subset_id': 3}]\n   timestamp  signal                                               pool  \\\n0 2020-01-01       0  <class 'src.sim.model.utils.Adoption_Pool'>: {...   \n1 2020-01-01    1734  <class 'src.sim.model.utils.Adoption_Pool'>: {...   \n2 2020-01-01    1734  <class 'src.sim.model.utils.Adoption_Pool'>: {...   \n3 2020-01-01    1734  <class 'src.sim.model.utils.Adoption_Pool'>: {...   \n4 2020-01-01    1734  <class 'src.sim.model.utils.Adoption_Pool'>: {...   \n\n   simulation  subset  run  substep  timestep  \n0           0       0    1        0         0  \n1           0       0    1        1         1  \n2           0       0    1        2         1  \n3           0       0    1        1         2  \n4           0       0    1        2         2  \n      timestamp  signal                                               pool  \\\n2001 2020-01-01       0  <class 'src.sim.model.utils.Adoption_Pool'>: {...   \n2002 2020-01-01     500  <class 'src.sim.model.utils.Adoption_Pool'>: {...   \n2003 2020-01-01     500  <class 'src.sim.model.utils.Adoption_Pool'>: {...   \n2004 2020-01-01     500  <class 'src.sim.model.utils.Adoption_Pool'>: {...   \n2005 2020-01-01     500  <class 'src.sim.model.utils.Adoption_Pool'>: {...   \n\n      simulation  subset  run  substep  timestep  \n2001           0       1    1        0         0  \n2002           0       1    1        1         1  \n2003           0       1    1        2         1  \n2004           0       1    1        1         2  \n2005           0       1    1        2         2  \n      timestamp  signal                                               pool  \\\n4002 2020-01-01       0  <class 'src.sim.model.utils.Adoption_Pool'>: {...   \n4003 2020-01-01     500  <class 'src.sim.model.utils.Adoption_Pool'>: {...   \n4004 2020-01-01     500  <class 'src.sim.model.utils.Adoption_Pool'>: {...   \n4005 2020-01-01     500  <class 'src.sim.model.utils.Adoption_Pool'>: {...   \n4006 2020-01-01     500  <class 'src.sim.model.utils.Adoption_Pool'>: {...   \n\n      simulation  subset  run  substep  timestep  \n4002           0       2    2        0         0  \n4003           0       2    2        1         1  \n4004           0       2    2        2         1  \n4005           0       2    2        1         2  \n4006           0       2    2        2         2  \n      timestamp  signal                                               pool  \\\n6003 2020-01-01       0  <class 'src.sim.model.utils.Adoption_Pool'>: {...   \n6004 2020-01-01     500  <class 'src.sim.model.utils.Adoption_Pool'>: {...   \n6005 2020-01-01     500  <class 'src.sim.model.utils.Adoption_Pool'>: {...   \n6006 2020-01-01     500  <class 'src.sim.model.utils.Adoption_Pool'>: {...   \n6007 2020-01-01     500  <class 'src.sim.model.utils.Adoption_Pool'>: {...   \n\n      simulation  subset  run  substep  timestep  \n6003           0       3    3        0         0  \n6004           0       3    3        1         1  \n6005           0       3    3        2         1  \n6006           0       3    3        1         2  \n6007           0       3    3        2         2  \n"
+    }
+   ],
+   "source": [
+    "experiments = run.run()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [
+    {
+     "output_type": "stream",
+     "name": "stdout",
+     "text": "timestamp  signal                                               pool  \\\n0 2020-01-01       0  <class 'src.sim.model.utils.Adoption_Pool'>: {...   \n2 2020-01-01    1734  <class 'src.sim.model.utils.Adoption_Pool'>: {...   \n4 2020-01-01    1734  <class 'src.sim.model.utils.Adoption_Pool'>: {...   \n6 2020-01-01     500  <class 'src.sim.model.utils.Adoption_Pool'>: {...   \n8 2020-01-01     500  <class 'src.sim.model.utils.Adoption_Pool'>: {...   \n\n   simulation  subset  run  substep  timestep  \n0           0       0    1        0         0  \n2           0       0    1        2         1  \n4           0       0    1        2         2  \n6           0       0    1        2         3  \n8           0       0    1        2         4  \n"
+    }
+   ],
+   "source": [
+    "print(experiments.dataset[0].head())"
+   ]
+  }
+ ],
+ "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": "3.6.5-final"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 4
+}
\ No newline at end of file
diff --git a/demos/prey-predator/README.md b/demos/prey-predator/README.md
new file mode 100644
index 0000000..4b18d68
--- /dev/null
+++ b/demos/prey-predator/README.md
@@ -0,0 +1,16 @@
+# Prey Predator demo
+
+cadCAD P&P modelling in an dynamical system and agent-based modelling approaches.
+
+## File Structure
+
+* lab_notebook.ipynb - The notebook for experimenting and visualizing
+* run.py - Script for running all configurated experiments
+* prey_predator_abm/ - Folder for the ABM simulation and model 
+* prey_predator_sd/ - Folder for the SD simulation and model
+* {simulation}/config.py - Simulation configuration object
+* {simulation}/sim_params.py - Simulation parameters
+* {simulation}/model/partial_state_update_block.py - The structure of the logic behind the model
+* {simulation}/model/state_variables.py - Model initial state
+* {simulation}/model/sys_params.py - Model parameters
+* {simulation}/model/parts/ - Model logic
\ No newline at end of file
diff --git a/demos/prey-predator/lab_notebook.ipynb b/demos/prey-predator/lab_notebook.ipynb
new file mode 100644
index 0000000..8bb1139
--- /dev/null
+++ b/demos/prey-predator/lab_notebook.ipynb
@@ -0,0 +1,550 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Prey Predator Lab Notebook\n",
+    "\n",
+    "(to edit this notebook and the associated python files, `git checkout` the corresponding commit by its hash, eg. `git checkout 422024d`)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/markdown": [
+       "# 25/Aug/2020 18:38"
+      ],
+      "text/plain": [
+       "<IPython.core.display.Markdown object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "from IPython.display import display, Markdown\n",
+    "from datetime import datetime\n",
+    "cur_datetime = datetime.now()\n",
+    "display(Markdown(f'# {cur_datetime.strftime(\"%d/%b/%Y %H:%M\")}'))"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Prey Predator dynamics on SD and ABM\n",
+    "\n",
+    "On this notebook, we'll explore and visualize how P&P behave both in a dynamic system approach and in an agent-based one. Both models were written on cadCAD - a library for Complex Adaptive Dynamics simulations which allows you to mix and prototype different modelling paradigms in a reproducible and consistent manner."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "%%capture\n",
+    "%matplotlib inline\n",
+    "\n",
+    "# Dependences\n",
+    "from time import time\n",
+    "import plotly.express as px\n",
+    "import plotly.graph_objects as go\n",
+    "import pandas as pd\n",
+    "import numpy as np\n",
+    "\n",
+    "# Experiments\n",
+    "import run"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\n",
+      "                  ___________    ____\n",
+      "  ________ __ ___/ / ____/   |  / __ \\\n",
+      " / ___/ __` / __  / /   / /| | / / / /\n",
+      "/ /__/ /_/ / /_/ / /___/ ___ |/ /_/ /\n",
+      "\\___/\\__,_/\\__,_/\\____/_/  |_/_____/\n",
+      "by cadCAD\n",
+      "\n",
+      "Execution Mode: local_proc\n",
+      "Configuration Count: 2\n",
+      "Dimensions of the first simulation: (Timesteps, Params, Runs, Vars) = (1000, 6, 1, 2)\n"
+     ]
+    },
+    {
+     "data": {
+      "application/vnd.jupyter.widget-view+json": {
+       "model_id": "e7539cbf8540459f8a6e369db4cdb875",
+       "version_major": 2,
+       "version_minor": 0
+      },
+      "text/plain": [
+       "HBox(children=(FloatProgress(value=0.0, description='Initializing configurations', max=2.0, style=ProgressStyl…"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\n",
+      "Execution Method: local_simulations\n",
+      "SimIDs   : [0, 1]\n",
+      "SubsetIDs: [0, 0]\n",
+      "Ns       : [0, 0]\n",
+      "ExpIDs   : [0, 0]\n",
+      "Execution Mode: parallelized\n"
+     ]
+    },
+    {
+     "data": {
+      "application/vnd.jupyter.widget-view+json": {
+       "model_id": "b511dd9fd49b4f9cad27109118d77d2a",
+       "version_major": 2,
+       "version_minor": 0
+      },
+      "text/plain": [
+       "HBox(children=(FloatProgress(value=0.0, description='Executing PSUBs', max=1.0, style=ProgressStyle(descriptio…"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\n"
+     ]
+    },
+    {
+     "data": {
+      "application/vnd.jupyter.widget-view+json": {
+       "model_id": "b262ac2ce58c4ae3b060a162815b4526",
+       "version_major": 2,
+       "version_minor": 0
+      },
+      "text/plain": [
+       "HBox(children=(FloatProgress(value=0.0, description='Flattening results', max=2.0, style=ProgressStyle(descrip…"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\n",
+      "Total execution time: 28.14s\n",
+      "Execution in 28.2s\n"
+     ]
+    }
+   ],
+   "source": [
+    "# Run all experiments. Typical run duration for an Core-i3 laptop is about 2-3min.\n",
+    "# Tweak the prey_predator_abm/sim_params.py file if you want it to take longer (or not).\n",
+    "start_time = time()\n",
+    "experiments = run.run()\n",
+    "end_time = time()\n",
+    "print(\"Execution in {:.1f}s\".format(end_time - start_time))"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Dynamical System: Lotka-Volterra\n",
+    "\n",
+    "This is the standard introductory model for Prey-Predator interactions and dynamical systems in general. It is based on the following equations:\n",
+    "\n",
+    "\\begin{aligned}{\\frac {d}{dt}Prey}&=\\alpha * Prey-\\beta * Prey * Predators,\\\\{\\frac {d}{dt}Predators}&=\\delta * Prey * Predators-\\gamma * Predators,\\end{aligned}\n",
+    "\n",
+    "Where $\\alpha$ and $\\gamma$  are the prey growth rate and predator elimination rate, and $\\delta$ and $\\gamma$ are interaction factors between preys and predators.\n",
+    "\n",
+    "The most prominent feature of it is the existence, depending on the choice of parameters, of a repeteable cycle around a fixed point which creates a dynamical equilibrium between the number of preys and predators on a system."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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"
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "fig = px.scatter(experiments.dataset[0],\n",
+    "                 x='prey_population',\n",
+    "                 y='predator_population',\n",
+    "                 color='timestep')\n",
+    "\n",
+    "fig.show('png')"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Agent-based modelling\n",
+    "\n",
+    "There are a lot of possible ABMs for any given phenomenon. cadCAD allows you to add, modify and remove simulation blocks and steps at will. \n",
+    "\n",
+    "For this demo, we'll adopt a model based on a grid world, on which preys and predators take the following actions at each timestep of their lifes:\n",
+    "\n",
+    "1. Food is grown on every site.\n",
+    "2. All agents digest some of the food on their stomach and get older.\n",
+    "3. All agents move (if possible) to an available random neighboring location.\n",
+    "4. The agents reproduce themselves if there is an available partner nearby\n",
+    "5. The prey agents feed on the available food\n",
+    "6. The predator agents hunts the nearby preys\n",
+    "7. All old enough agents die\n",
+    "\n",
+    "There is an inherent stochastic nature on this model, and every time that you run it, we'll have a completely different result for the same parameters. But we can see that there is sort of a random equilibrium that converges to the dynamical equilibrium which we presented on the dynamical simulation.\n",
+    "\n",
+    "ABMs tend to produce rich, high density datasets. We'll plot some of this data, but invite the reader to fork this repository and trace the network relations between the agents, or the geospatial statistics around the ABM, for example."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Get the ABM results\n",
+    "agent_ds = experiments.dataset[1].agents\n",
+    "site_ds = experiments.dataset[1].sites\n",
+    "timesteps = experiments.dataset[1].timestep"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Get metrics\n",
+    "\n",
+    "## Agent quantity\n",
+    "prey_count = agent_ds.map(lambda s: sum([1 for agent in s.values() if agent['type'] == 'prey']))\n",
+    "predator_count = agent_ds.map(lambda s: sum([1 for agent in s.values() if agent['type'] == 'predator']))\n",
+    "\n",
+    "\n",
+    "## Food quantity\n",
+    "food_at_sites = site_ds.map(lambda s: s.sum())\n",
+    "food_at_prey = agent_ds.map(lambda s: sum([agent['food'] \n",
+    "                                           for agent \n",
+    "                                           in s.values() if agent['type'] == 'prey']))\n",
+    "food_at_predators = agent_ds.map(lambda s: sum([agent['food'] \n",
+    "                                                for agent in s.values() \n",
+    "                                                if agent['type'] == 'predator']))\n",
+    "\n",
+    "## Food metrics\n",
+    "median_site_food = site_ds.map(lambda s: np.median(s)) \n",
+    "median_prey_food = agent_ds.map(lambda s: np.median([agent['food'] \n",
+    "                                                     for agent in s.values() \n",
+    "                                                     if agent['type'] == 'prey']))\n",
+    "median_predator_food = agent_ds.map(lambda s: np.median([agent['food'] \n",
+    "                                                         for agent in s.values() \n",
+    "                                                         if agent['type'] == 'predator']))\n",
+    "\n",
+    "## Age metrics\n",
+    "prey_median_age = agent_ds.map(lambda s: np.median([agent['age'] for agent in s.values() if agent['type'] == 'prey']))\n",
+    "predator_median_age = agent_ds.map(lambda s: np.median([agent['age'] for agent in s.values() if agent['type'] == 'predator']))\n",
+    "\n",
+    "# Create an analysis dataset\n",
+    "data = (pd.DataFrame({'timestep': timesteps,\n",
+    "                      'prey_count': prey_count,\n",
+    "                      'predator_count': predator_count,\n",
+    "                      'food_at_sites': food_at_sites,\n",
+    "                      'food_at_prey': food_at_prey,\n",
+    "                      'food_at_predators': food_at_predators,\n",
+    "                      'median_site_food': median_site_food,\n",
+    "                      'median_prey_food': median_prey_food,\n",
+    "                      'median_predator_food': median_predator_food,\n",
+    "                      'prey_median_age': prey_median_age,\n",
+    "                      'predator_median_age': predator_median_age})       \n",
+    "       )"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### A temporal summary for the simulation\n",
+    "\n",
+    "On the following plot, we can see how the prey, predator and available food changes along time. Can you see any cyclical patterns?"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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"
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "fig = go.Figure()\n",
+    "\n",
+    "fig.add_trace(go.Scatter(x=timesteps, \n",
+    "                         y=prey_count / prey_count.max(),\n",
+    "                         mode='lines',\n",
+    "                         name='Prey count (normed)'))\n",
+    "\n",
+    "\n",
+    "fig.add_trace(go.Scatter(x=timesteps, \n",
+    "                         y=food_at_sites / food_at_sites.max(),\n",
+    "                         mode='lines',\n",
+    "                         name='Predator count (normed)'))\n",
+    "\n",
+    "\n",
+    "fig.add_trace(go.Scatter(x=timesteps, \n",
+    "                         y=predator_count / prey_count.max(),\n",
+    "                         mode='lines',\n",
+    "                         name='Food count (normed)'))\n",
+    "\n",
+    "fig.show('png')"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Prey predator phase space\n",
+    "\n",
+    "Note that it sorts of converges, in a chaotic manner, to the dynamical system model"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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"
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "fig = px.scatter(data,\n",
+    "                 x='prey_count',\n",
+    "                 y='predator_count',\n",
+    "                 color='timestep')\n",
+    "fig.show('png')"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Prey prevalence vs food availability on the world\n",
+    "\n",
+    "There is an inverse relation between the available food on the grid, and the number of prey.\n",
+    "\n",
+    "From the code, can you tell why there is higher variance when the number of prey is higher?"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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umIVSQf6PhZuj0WL537vw0/It7FKIgn0wmcxFxikovAaDEa16v4/fv/8EVSuWfXJS7ShBwmsHPKaqy4UXQMixthCZ9RD5aQG5ESaFGRDxbyTHaxCSTmmRsCcH9/ZEQOItR0CLCIT0rgmfuqF23vnjq5PwOg2twwKT8DoMpVMCkfA6BatDg5LwOhSnU4J5uvAePnkRn0xfgpULLcsXQ0sF8h5as1V4mYfIpnyzFAlJqZjw3v8QFOiLazfv4c69OHbd7m9r/sWA59uhTFgwtuw8gh9+/Rvbls9EYX14XJxeXVqwSxrWbzuIbyYPh1qlxJLlW9ilFssXfAYR8xSdEy8SXjvhCiG8PrdmwSv+b0BmgshXC5PSxJ/hLTBuEs6Vw5EvXmDv1mwWwbd+GGrM6wGR2PEDjITXzkHlguokvC6AbEcTJLx2wHNRVRJeF4G2oxlPF15mNvXjaYvY5QZ+vt7YvWaOXcKr0ehYkWUeJEtOzUC58BAMfqkrurRthM++/hknzl5FjkbHzsR+MupV1KpaAYX14XFxendtxQrv0lXbIJdJ8TAhGVF1qmHqR0PYNcTOvkh47STsauGV6GIhzYmGRBsLeeZRyM3HIZKkwizLN8v7GIc9Mq0XEs5GsMLLXBU+aIGwvjXtJMCtLs26hQBRPLIMCmT71ndobArmOAIkvI5j6YxIJLzOoOrYmCS8juXpjGieLrzOYObsmIWt4XV2m7nxSXjtJO1K4fVKWAWfe3PyeixSGQCpCWZmdwbGYR+JLvsAWyFres8s6Ii7e2rkCW+lYQZE9FPDLPKCXtYcRkm4XTS8r82D1921eTGMXuWQWn8WjKrSdsWlyo4nQMLreKaOjEjC60iazolFwuscro6MSsLrSJqOiUXC6xiOgkRxpfCGnOsEkTHDKrzeekDEyK6Z3ZbMLH4kvuJH25QVIBK9ujGurG7KCm/9kTtRtsPlfCXESPNfAr2sUYk4SrLvIujwq7y62eX6IbPq+yWKSZWcR4CE13lsHRGZhNcRFJ0bg4TXuXwdEZ2E1xEUHRuDhNexPF0azVXCK9HHI/jC85x7Y/fhFTOya7YsaXh0sXvyFrKs4dbG+rj0R0t4haWj3YI/eJy0iu7I8J1eIn7ypGPwP/MRr67evx5SoqxboJQoOFVyOAESXocjdWhAEl6H4nRKMBJep2B1aFASXofiLDQYsx6X2av37oN4KBQytGteH5+Oeg1qLyVbfsO/B/HDL+uQmJyGOjUqYtq4N9lT1piLWf87e9EqdqcH5mS3Tq2jMGXsYKcdQEFLGuwcD64SXpExEyHnOnKFV2lgH1wzy82W2d1c4WWWMxSypOH2pnq4urw5wtteRe0Re/hyKmuINP9fS0RElnYBASdGFFpX71sL6XUmw6h03s4QJer0M1yJhNe9k0/C6975YXpHwuv+OSLhdX6OGNll9uVl9utNSk7HqEnz0Kd7G7wxsBuib9/HS8M+x7efv4e6NSph4e8bcPrCdaxaNJnt2MoNu/Hb6n+xYPpoeKkUGDt1EerXqoQPh73klI6T8NqJ1VXCy3TT7/anUKbszOuxSGqybEumMnIE1/wY4T33XWcE1L6Pcp0v4dFza5y71yo6I8N3dqFEJNp4iIwaGFRlAVEhNg0g8NibkGZEc+s/akgT3h3pNT+2kzZVdxQBEl5HkXROHBJe53B1ZFQSXkfSdE4sEl7ncC0sKnNq2807DzBm0g+Y9MHraNKgBuYvXY8r12PyTnrLyMpBy+dH4J8/v0bZ8FIYPGoGOrRuiEH9urAh9x05i6lzfsOu1dZnlRx5ByS8dtJ0pfAyXVXHLYX6wU+WfXgVRnbpglltsDy4lnsxrzHLGvJfWgnE8QqYymezrxYmvOl+30Mnb8upJtZnwO/CJMhTTlnqSZTIrDQM2WVf5JET65LhfWMJlA/+sbyXrxGDdyUkN/vZTtpU3VEESHgdRdI5cUh4ncPVkVFJeB1J0zmxSHidw7WwqLXaDYZMJsXE0YPQt0cbtshHUxey243ln7Ft3280pn70Blo3rYu2fUbhi4/fRJtmddnyzJ6/3V8dh5PbFkOplDu88yS8diJ1tfDCbEToSeZoYYBdw8vILbNTA7MXb/7LJAIMEsAgArRiiNLkMHsbYA7P4RRjnPR+dCksnvg8Gr/xApq9UoHzvs/1H+B1dw2PUkLrzTDJfHivsw+vHXqN97reryZSGi+wkzZVdxQBEl5HkXROHBJe53B1ZFQSXkfSdE4sEl7ncC0sKrMe98ad+xgx4Vt89O5AdG7TCO99+h2qV47Ae0OsE2Td/jcOo4f2w3PtGqNpj+GYN20kOxvMXHGJKejQbwz2r5+HQH++X9h7NyS8dhJ0ufAyJ62dZnZryISI2aWBNV/L7gy5s7zMjzCKoH3gB7lMDzya/GVngstyhZepvuevBlgyuSdqdSmNt/+0yLTmYSZgMqN03KeQp57lUUqO+gF6vzqF0gs58TaQeo3zXlalN5AVOchO2lTdUQRIeB1F0jlxSHidw9WRUUl4HUnTObE8WXjTdBWdA+0JUf3kN4ssMWfxGtx/mIBvJr/LzvCGhwVjzNv98+owM7yfj32DndVlZni/mvAWWja2uATN8AqSUtsbFUJ4fWJmwyt+LVd4C+nyrS0NUKHxVc47psgsQM6dDZ41YiBO76uCSs2CMeTr2rj2xQFk30hBSIM7iBpyACq/NIg0UoiSrX9iSG70I/S+1QsFFSyJg+H8TxCnXQMkSmiDmyOr4mDboT4qKc24BXFOLMzyAOj9C2+r2EGpAkuAhNe9BwIJr3vnh+kdCa/758ijhVcjkPAqixbeL+b+jhytDl+Nf4s9te3ajbv4ftpIdrAwa3hbPP8uNv8+A+XLhuL1UdPZnRlee7SGd++hM/h8zlLsWfutUwYXzfDaiVUI4WW/bONWwDfl0QNm7JQu99KkqHHih65o+c5W7hsyEx6kVYNWm4rsdCWO7qiB7Vstp621GFQRNbUJSD32AOW7XEDD0Ts4dUUpcohj1DCqwpHYfMVjyTFHC2uurAfSbwJiOXRBjaALbFAs0gEH34Ms1bpPsFEViqT2fz72gbliBafCJLxuPgZIeN08QSS87p8g5kFvtQwGoxlZGoPg/Q0PUjm0D+nZwgivr5dVeJkH1ZiH1F7t2xmVKpTBqfPXMOGrJZj7+Qh2je7VG3fxyrtfsMsWalePxMLfN+LoqUtY9/MXLItl63Zi2bodWDB9DLxUSoydugA1q1bA+PdecSir3GAkvHZiFUJ4JdoY+N6bDYXuoHW/3XzSm3QnGGdWtUTS5TIo1+Amyje6Dpl3DkQB4Yg7EgKFOAHewenQ5cjx4HwFnD5eCWqlCAERauhiM1D3ucOIePkUJP4aHh19XDdklXsTBp+qjyVX6vKXEN217ibBFEyv8wk0pTvbRFsVswU+5/lPaWrKdkF6vXE2xaBCRROgGV73HiEkvO6dH3bSQSGFXCZCauajpWXu3+VnroceLbxZAgmv2iq8ZrMZk2b9gmOnryAhKRVlSpfC0P/1RK8uLfLG2l9b/sOC39YjKSUdtatF4otxbyKyXBj7PiPMM+evYPfqNRiMaN+yAT4fO5iVX2dcJLx2UhVCeANujIQ84whEMhN78ATnMovw0RvjEXeTf/LEq59XRYuwcVAHWU9rY+oeXtoJDy5GsGGi+h5EhcbXYKyWDigKPAgH4PrJ7xDQpf1jqYk1CQj+bwDvfV1QFFKjLDPSTBmR2QijyjLoC16+Z2ZAeZ87u8yUMfhURHKbJXZmjKozBEh43XsckPC6d35IeN0/P0wPPVp4MwQSXp+ilzS488gg4bUzO0IIb+jZJpaZXZEZIvY44dyn0kTQqRrgQtYsfN9lN0xGqwyH1/bH8EnZiBDP5N3x7eNVcOYvy8Nq3T5ZBYVaA1PFTHZXh4LXpr7vwbdRRdSa3alQcsw+vIGHh/LeY2Q1re5k+J6fDlnaFfZ9k7IUMmqMhDakFae877k5UN7dwouh96uKlFYL7cwYVSfhdf8xQMLr/jmiGV73z5EnC29GeiVBEuDje0OQdh3RKAmvnRQFEd5zTay9zreUISegBzJDR8AkK4XYK+m4sPk+slJ0CIzwQpP/RUJxcytCU/nCG3spAmdWW6Sz07i1kMr1MPvqYaqQxaGTcj0U6rB0yLw1MKA8ND5DoVVwjzsW61IRvJe/R6+2VAtAJIMibh8nJrs2t81KzmuypHMIODKGl5msqq8jqwrt9GDnkGWr0wyvIyg6LwYJr/PYOioyCa+jSDovjkcLb6pAwutPwuu8EevmkV0uvMw+vOebF0olrs5hQFTwxAlrUc2JIyif/RGv7o3/auP6bsvGz41f3YOgyFhLGYWJPdRCk6nCnUsVUKXvSV7dZP/tMIm5SxNK3VoA0XXu3r2pDb+G78XZ7HKGgldi29XsbG/+S33lZ3jdWQ+RIRtmsRza0JZIb/iZm4+Gp6d7JLzunSsSXvfOD9M7El73z5EnC29mijDC6x1Awuv+I99JPXS58DL78F5oC5GpwAESYhXia3NnTwvectru06gqtWwPkv+6uqMBbh20bPzsF56EWr2OwrdUGvtzerI3zq5vgbK9ziOio3XXhNz66d5zoZN35MRjdmnIjjkGc/otyy4NgQ1gVJVG0P5XIcm+zxfe9utgkgcUniGzARBJnZS9ZzcsCa97556E173zQ8Lr/vlh/z3z4F0aMpMEEt4gEt6nY/Q7oZdCCK/v/a+hSvqLczc5QX2RXqboHQxMJ7egdObXPAoPz5fH2XXWpypTcmQ4myFh1wenp6rRNjQHjcdtRUQHvvAm5kwDyvTiCW96lh46A/ehN58r86C6s45TVh9QBylNvs97TaxJgvLBLoi1STApg6EJ7wST4jEy7IR8PishSXjdO9MkvO6dHxJe98+PpwtvVoIwwqsuRcL7dIx+J/RSCOFlbkOd8DtkWZYT0PTqesgq9eS1rYrEA/C/+AlfeC+Ux9m/rMJ7Ps4bVxLU7AFtWTChWkM/9O+5CzVf+YdXN/riz/Bv3TjvdaV2LdSye9AavKCRtIJBYtnjN/fyvjIfisRjgNkAvV8NZFV5K2+3BrEuBYEH3gYjvbkXs8Y3udVimAs5xtgJ6XxmQpLwuneqSXjdOz8kvO6fH48X3niBhDeEhPfpGP1O6KVQwluSW5FoExB8pC+v6r3E3ji5IhyJt7MRl6nAjWTLBtk6mBHRPBh9ptXD7dEbEPXGdpRudxVSlQ45sX64ta4BYg39UXdKa7a8b+YwyPSHOPHTfRZDL21mU3dVd/6Gz8V5vLIZtT9ATkRPm2JQIdsIkPDaxkmoUiS8QpG3vV1aw2s7K6FKevKShqxYgYQ3jIRXqPEseLtPk/AysFSxW6GO+QOSnHswS7yQE9YVGZVHsxzPrruLe6dTIBKLENE4EDW7hUMsseznu6fNrwiQWdYNi2VGmPSWh+NSqlZF+4WdIDVehF/6y7x8aOW9kKmexnudWbIgTzoDkUkLgzoC+oDaUF/7FeroP3hls6oOQVbl1wTPtSd1gITXvbNJwuve+WF6R8Lr/jnyZOHNflBZkAR4hUcL0q4jGqVtyeyk+LQJb+7tikw6dvcDW68NbZajvCyVVzy5cQN0mNEcMv0B+Ga+a3mfceRHWwDrZS2R7s3dO1dy5ygCr0yCyGw9oSi7fF8Y1eXhc4F/wlp63Y+hKdvV1q5SORsIkPDaAEnAIiS8AsK3sWkSXhtBCVjMo4X3vkDCW4aEV8AhLWzTT6vwFpfaxpEHEXbuPOQS64NoDzIUaPBHf2QkaHBxyx68Ne5L61HHjxrQSrsjUz2D/Un3IA13Z+5EpYrrEVKVv1tDUptl8Dv5GaQZt/K6Z/CtjOSWCznbrYl16ZBk3AbEUugDuGuEi3tfz2p5El73zjwJr3vnh+kdCa/758iThTfnrgDCKwJUZUl43X/kO6mHz4rwMvgW9doJ89VYKCRmpOvEqPxmPbd5XUIAACAASURBVDTrGopF/ffCKyQJX25dwKOcdq8p0jAV6lqlETNtG9L+i0aT/+2GTyh/tjil+ULofStD+XAPxNoUmBSB0IR3eDRlbAmtur0RPuetuzoYVSFIj5oIfYBlWzW6bCNAwmsbJ6FKkfAKRd72dkl4bWclVEmPFt4YAYSX+Tc4goRXqPEseLvPkvAysFMf5iD91H2YL99F0n8xMKTooNXJENzwDlrN4G6VxpRPPl0OZ7/sjohPuyB28UHoEzNRv89BBFWIy8sde4SxxIzUevOg96pfZE5LbX0BIgP3BDhtaHOkNflC8LHwNHWAhNe9s0XC6975oRle988P00NPFl7NbWGEV1mBhPfpGP1O6OWzJrw51xNwbfhqDkmzWQRpRCrafss9IpgpFH+oEi7O6QSfqHLQxaaxyxrCasSgVrcTgMwEY410sML76NIo3kC2wvIQXcFLkv0QQbv4D68ZvcKQ1PFPJ2TXvUMaMvW4PPccUk4nQSQRIbhZCGp8WM+mTpPw2oRJsEIkvIKht7lhmuG1GZVgBT1aeG8JJLyRJLyCDWihG37WhDf2t2OI++M4D3tWthLtfvwTPhHWPXSZQpe+64C4/VWgrBgE77rhSNpwjq3LzPBWePkEvKP4a3nTvDfCKK7Aa4NZ5hC8vT/v9bT4QJy4/B6qjW8MebBlSzVDug7GHAMUoV5CDxGntX98xAHE7ubyC+tYBn41A2DUmeBXzR/h3coV2j4Jr9PS4pDAJLwOwejUICS8TsXrkOCeLLzaG1Ucwqi4QRSVrhe3ituUp10a7EzFsya89+fvR+LfFmnNf2XnKCANzEHIC6cQWT0Whmw5Eo9FInaf5UMpqVQa8aUqwvvoaciMORCJgDqfbkdw1E1erAyveYg/VQ33Vl+F5n4mZIFKhPWIRFj3ivA/OgHyeK5wn9/dABf21kNIxwjUntEK5z7aj4Q9d9m4Mn8FKr9fH2X6CvPlYOfwemx1o8aIfxqsLfR986MdMpg3yw+ohHpTG/HKkfA6KzOOiUvC6xiOzoxCwutMuo6J7dHCe12Yf9MUVUh4HTM6n8Ioz5rwJq4/h/s/7OdlKjNLBb1eCnn/+kj/5zzC5dyH0g7dCkSAzIwQL+vyhSafbkG5TvzjipO087G3+x2YjRZzk8kMkEhMqDC0HsIHVof6xnJk7toPscSErFRvPLhWBkn3SyFHE4ByL1fHrZ8u8PrXdm9/Vn495dKn67Ct6d9PFF6mQLejL0Lmx92CjoTXvUcCCa9754fpHQmv++fIo4X3mkDCW5WE1/1HvpN6+KwJr9lowo0P1yPrwsM8olkaGWKSfeDVMBzNJzXEvFY7Eeajha9SD6NZhIRMBTI0UjQPz2R3eMi9yna4gqYTN3MyYxKXw5W983Bp0kH2dV+fbCiVurwyshAflP+iF+Knz0FU96Ocukc3tkaavCWSDlv7llsgaklnBDQOddIoECbsnm7/IPN2Bq/x/DO8zJsdtnaHd6QPpxwJrzA5s7VVEl5bSQlXjoRXOPa2tuzJwqu7IozwyquT8No6/jyu3LMmvLkJzDr3AIa0HOglcuh9faEOVsA3TIn4K+n4oc0uTp4tZ7UBTUtnQSW17uPLvBbR5RLqjMuCVJ7NrtvVyF9DzN96XP3yCKRSIwIDuEInD8hGQNeGKC+ZD7Uvd7eGlPgAnDg3HIn7+euCG/3aBf4NQjxq/MXuuo9zk09Am6Rh70uilMCQY+TdY/cTfSD1lpHwPkXZJ+F1/2SR8Lp/jjxaeC8JJLw1SXjdf+Q7qYfPqvAWhXN23a1Ij7VIGHPlCm+VAA3KeFtPV2PeU1YOQPNVz3PCpZ6Ox6k3/4VCoYffI6kNaXsdka8ehyLQIrmiRAXEF/wAY250wKCX4KxmLq7NPsmJJw9SovWOvuyRyZ54ZVxPY+8t/VoaTow5xLnFioOqovYnDXi3XdQMrybLgHuXUyGRihFZP9ATkbn9PZHwun2KaEmD+6fIo7cl01+sKkgGZLWuCdKuIxqlh9bspEjCywf48GAS1k04g7gr6eybYTV9EXfJ8t+M9AYpjYDIjESdGEmlgzB6F//Y4OuzjiNu7QX4+2dCLDegxW9/sP+f/xLFeEF83fqn+tRUNfSvr8eN+WcRv+MODFl6eFf2R4W3aiMgyrOWMzxu2KZfSUXi8XiYdCb4VvNHSKuwQosWFN7Eu1nYOPciLv4Xh8R7WTCbzezp0EFlvDDix5ao0jjYzk8KVS8OARLe4tASpizN8ArDvTitevIMr/6CQMJbm4S3OGPQo8qS8PLTGeynQHqWHplpOkgVEoilIsQcS8JPrx1CVqoOBpihZ3XKcs049zx8Q5W8QLokDa6NWAWf4BtoMGM9731RmgziE9YZyO17m6LB3GkQGXIgjz8FkTEHRnUZ6ANddwobs7xA5iuHWCYu8ThPPZ+M+5vvQJuogTJMhXIvRsKnsl+J4xVWsaDwTu6yHbfPJnOKMsrLZKluh9L4aEU7h7ZPwYomQMLr/iOEhNf9c+TJwms4J4zwSuuS8Lr/yHdSD0l4Hy+8OgN3ve5nUVuQfC+bV+GrMz3hX9qyf27+KztJh+/qb0aTpjfQf+kfvPfjrobgxvJaYA6+uHm/DCqPfB21amfC79B4iLXWXSJyInsis97IvPqMSDM7NjCHNTBXRoIGcrUUCi9piUfJrZ8v4eZPl8AcBsFc5QZURs2JjYsdL/NGOva9sA1mk/UXAkag223uBkUw/5eCYjfwqEJ+4X14PR3jW/1TaCgTzAgIU+H7s71xZGMMzu55AG2OERE1/fH8uzUhkXrmMpGScnVUPRJeR5F0XhwSXuexdVRkjxbeMwIJb30SXkeNz6cuDgmv7cK79N2jOPZXDKdCaGUfTD7IX9LAFLq2IxbL/3eYLT9l/1wEluFudZYjfw/R0S+xi4TL1LDMgPqc+RbK2/+wRxWz/9NZZlqTO/2Ka38k4c5vl9kDKRjZlTQIw9YTWUiLzWHLRD1fDkOXNIOI2SS4GFf65RQcHrCNV6P21KYo82LFYkQCopdcxpW5/H2O605tjIh+xYtVVMP5hffO+RRM6vTvY4XXL0SJ4EhvXD2WADya9WUK12tfGhNWdCjW/VFh2wiQ8NrGSchSJLxC0retbU8WXuNpYYRX0oCE17bR54GlSHhtF15GLP8YfQKX9sSylcrW8kffqfVQrVXhuydc3fYQKwYdYctGRt1Ft/f3okzNWJhFKsjDeiBb8QGvcf+D4yApvQfm0EcPzWnFEEf74L9tI3D/L/4OBkdSJbinsS4/6PFBTfQaV7tYI/X+3zdxYRJ3izQmQLmXqqDmZ/xDH4oKfvmbs7jx8xVekRpj66HSG9WL1S9bhVebbcDwKn/BaMh3YgWrtha9Zf7fJLK+l/s6E/+7Iy8gtIK3w/pFgSwESHjdfySQ8Lp/jjxaeE8KJLxRJLzuP/Kd1EMSXtuFN7ekXmOEUW+C0oe7VVbBSGn3sjG3IX/mscvnddBieOHniPvffhniUhd5nVrZ/w2I7pfivX41S4zzGZK812u2C8OoVW3yfj62LgZX9sfBoDchok4AOr3D/5J5sPEWzn9qEfP8V8T/qqLG+Ch2RjkzOg0iqRi+NQKKHIl3Vt/A+SkneGWivm2B0l0KPya4JEO74Brenb9cx7LPTsH06LAPhVqKsjX9EHsrA6mPtj3L3w6z1IG5pm/vhsi6tJNDSXJQVB0SXkcTdXw8El7HM3V0RI8W3hMCCW8jEl5Hj9OnJh4Jb/GFtzjJPfHbLeybfQUZcRp26UKDgeXxwncNHxvCL+0lSKT809uWDxkEydXSvHpXMsW4kGkV3jqdSuO9Za3ZcjsWXsWaKWc5dRr3jsDQH5txXsuOycD+HtwDNJgC9ee0YneKuDj1BEw6y+yyqqw36s9qAb86QYXfgxk4NGg3kk8yywcsV0ib0miyyCrhtvC7+cd1MPv0GrIN8K3qjypvV4c6wjoTmyu8aYlaqP3l7FpcbZYBD29kQKYQo0w1yxKR4XXWIS3BusVcbtu5wrvkUj/4BNp+gt2Dm+m4cT6JXTZStWEwQsrS7HBh+SThtWWUC1uGhFdY/ra07snCazpWzRYEDi8jbnLV4TFdFZC2JbOTNAmvc4U3N3pOig4KHxm740NRl49mBGRG/tHHS15+A753+DO8B1KkiNVaY/abUg+dh1u+SKZ12oGY8ym85uZe7c1KYv7r4dY7uPP7VeTcy4QsQIEyvSsi8o0a2N3mb+iSucJYqm04oua3Lfw2TAaI9VlIOKOFNlkDZSkVAhvx+10Ug1vLonHui1OcIr5V/dB+43N5rx349QZWTD+HrDQdK5/tBlXC6zOjeGEn99iO6ycTea8zwlujRSiSY7OQkaxFaAUfPD+8Blq8UOGxXftn6RUsmsBd+vHh/NZo0qUc9HoTfANsF2c7P7ZuX52E1+1TRPvwun+KPHofXtNRgYS3KQnvUzD0ndNFEl7XCK+t2VPqf4OX7htO8awUL0xu/BEC5WbUqqeAMU0LRbAK0noh2H8mC/cvp0HpLUXUC+XQ57O6eXUnRG1GUmG7ShzrgeDy6id2SRObjb2dNvDKKUO90G7XC7zX1Se/h/Km5eE3s9wHOTVeQk7VPk9sp2CBw2/9h/gDlnXS+a926zrDr2YAYi6mYlIH/lKRITMaom5UEHtiW7LGhF8+Po4bp5PyQpgfreNt1T8SZav74c8CUs0U/OFYb4Tkm0nO3/6QhmuQ9JC7S4fKW4asTMvR0WUq+eLNyY3RpLPjlm4UG56bVCDhdZNEFNENmuF1/xx58gyv8bDjnukoTiYlzfnPmBSnvpBlaYbXTvokvO4lvExvvHTfQqrdBl1GGh5cDsGOeW1x7WBF1OlXDr0X8mcxHzcE5vbfh8v/xXHelirE+OFWX4gfbWlW1PDRpWixu/U6vthG+qL1ph6c15U3/oH61A+8stm1XgWYQyAU/tCVawWTouj9eEXadFz/ZCWy76QgNT4AKfH+eTFbL++AwIbBOLDyFn4adYzTVkUFUEdlnenWKCXYG69DZr6d5cpU9cXoX1sjvLIvfhp3DNt/s6zl8peIUF4mhkokQs1OZdByfD34VPLlxM/O0GNg1eWF4spdHsG8GVxajaWn+tv5qXz6q5Pwun8OSXjdP0ceLbwHXbe/fP5MS1rylwy6/0iw9JCE185MkfC6n/Dm71H0rjhoUvXwj/BC2cbFe7jqwq6HWPD6QfaBtdzrxU/qoNso6xfN+Z0PcWD5LaTG5sA/TIVWr0SCWQece50YtheJBx5yIElUUoR0KIsaExpC7m/5M773iW+huLWdDzPfxgkmVRDSOn0L5v8Lu2Sxp+G9fypERsuMKXOd2tMAZ/dZZq27HX4B8gAFDq25jcXvWZcWMO7ew0/EHgGtUOnYI5qNBglu68yI1lo6kProYbY/Y18Gs2vbj2OPYNef0fAWi9DVWwbrKmhArJLibBkV7tzOgNpPjjZ9IzFgbD30rfAn9Fr+Thn5hZdpa/GhPgiP5AqznR/Tp646Ca/7p4yE1/1z5NHCe0Ag4W1Fwuv+I99JPSThFVZ4NTcSwBiYsqL9R9+KzOmASA4zrAc8ZCRqEX0sERkbo2G6ngwzs9a0egCiXr4L76z/oEtKQnySNzbtroX/jldiYUze8xy7wwFzGTL0iF5wHvc33II+XccekpF7hXUphwZzW7I/qk/Og/Lm1iKFl3kzu96byKnWt9DR7LNvMmQPuTs8MO398eX/cNUoh66yP7q9Vx3h1fzwcdMteTH8JMDgJnfRuNMp+AZZjoC+c6Uc9qxrDYPWchgH472ntGbMinmJ/XnnH9ex+KOjqCaXoL4yv+5awh7XGHD90YN6zM/Dv2mO6AtJYNbx5r/yb3GW+/pPR/tC7SvHgU23kZqoQXC4Fzr2q2zTrLqTPuYuD0vC63LkxW6QhLfYyFxewaOFd39Nl/NkGpS0viRIu45olGZ47aRIwssHmHu0cMGT1uxEzameceQm7s/dBWOa5dAIWbA3yoztDHX94q//lBn3QKWfA4npNhtLL2mHLPlXiL1kYjejzTp4F9HzrYdBlK0egzYv7eXdznuf98X9OD/0n1IPXR49+MYUYk5N21ZnFa88M9Pb5UQ/9nVFzB54H53FR8TdGheaqr2RVf/tQlH6bX4LkkzubDJTcNRXvRETZ5kxZXZjmLzzOWTcy8aq2RcQfzsTIf4yzHz7Vyi8tJy4F49Wx+F/muS9plPLMPD0i3k/M8Ibt+Ymasr5wntWa8DFfLO5zCzvqPmtsO33q7h6KhFisQiJD7Jwct99Tpvlqwfgi1VdMKbbJiQ8yMp7r3KdIHy/vZdNQ0iScB2S2EsQmQwwBkXCUPbxu3rYFFCAQiS8AkAvZpMkvMUEJkBxjxbefbUEIApI2vK3/RSkIyVolIS3BNDyVyHh5QN0hfBGv7MM2jvWB6qYXnjVLI3IOcVf/+mX0x5iM3cnggdHKkJ7NJDdCi0jNgSXd9fLu9GGzx1H9Wb8P+v88Edr7DpcBS98XBs9P7T+9m3Sm/Bv/dU8UMxpb9U+rA+TxgjvKn6oUHo/FLd3QqzLgEnuDUkGX16LmuH13TEG0iT+HomDPxuAtAzrrDXj0M+/Wx19Jtdjd9OVpN6C39b3ef1LfBCE9T9y1xq/eLl/3pHMTIW/3jkA7HnAq3soR4/b+ZaCtOxdAR8ssmz3lv+aP+4wjm2/C53GiKoNgjFoQkOcOfAQP089zis7flE7tHkhsshPrOz6Hqj2z+OU0dXuBU2TwXZ+0l1bnYTXtbxL0hoJb0moubaORwvv3uIdkOQo8pJ2FxwVyuVxSHjtRE7C63rhNWn0uNx7IV8g5RLU3DjC5oxKMu9DfecnSCLX8mNlyCA+aN0O7NbZSjj8dyu2XKNux1C1Cf9J1QXLWmLHwWoY9lNz9pji/NeR/+1Eyhn+9l7mfDO45fpVQp2pjR9VM8Nv+/uQpt7MC/OkNbzKaxvgdWoxp93DZ8pj5q/cLdBymxy3rj2qtQyBJO0O/P7hc4u/F4yNS7rnxatQ5wFaTVBCZNDC6F8emuq9sfLrs0hdfAWl8j3EF2cwYVe2ntOP16dEodcw2/4Et3jyMaxfzJ9FePvzJuj9dtGzGupN4yFJ4Et/+uurAEnRB53YPHBcUJCE1wWQ7WyChNdOgC6o7tHCu1sg4e1AwuuCoeueTZDwul54YTLjYo8f2N0L8l8SHyWqryn8z/2FjZ7AnUMhNt2EsVU8X3jTZRAfsgqvySjGyi9eY8tVrHcDzXof5NX56OteCGoUhbcWNOW9l3ouCRe/OIH0S5Z9faU+MujTuVLIvN5xX28oSj2ajTUZoLizC+LsRJt3aZDH/AdZ7BnApMely96YOt66S0Nup3KpvTYjCu2HWE6s89/0JsSZ3B0pzuyvgxM7G7DvV21wA61fOMS5L32ZxtiWPAjfDj+AMKkYShGQYwYY4VV5S5Gdabm/tv0ros/I2oi5kgqpXIyaTUPhXWAf4/yB184/j1+m8U+bG7ewLdr2rljkF4H3qqEQZ3Fn/pkKmQN+hMm7ePsZC/mNQ8IrJH3b2ibhtY2TkKU8Wnh31REEraTjeUHadUSjNMNrJ0USXgGEF8C96VuRtu86p/GAbrUQPqqjTRmVJV+G/77RbFlj63iYvQyceqJb3hBf5e4UsGraq+zuBcowL7QdcRlBhv+YFbowSVS47/M8MisPQKny3sjYfw26h2kQe8nh3TgSslBrHH2qjl0mceT13ci4lsrra6t1z7EPxTnq+vn9ozi02rI2mbny/4rw5ndN0HKgZYmANOESVOf/hDT5BsxSBfRlm+PYvpZIPG6ZlW733Cb4K6J53UrrtQTfjI3GwfXWNhjBfX9eC6QmaODlI8PGRZewbMbpvLqM9HYYWBnt+ldEjcYhvJiJD7MwuusmJMdb1mczV0RVf7R+oSLi7mawB1S06lEB9VRHIU65A0jkMJSpD325xlBvGgdmDW/BK2PQSpil3MNCHMXYGXFIeJ1B1bExSXgdy9MZ0TxaeHdY94x3BrvHxZR0tj7PwpSZ98s6bN19FLHxySgV5I/X+nXBq307s9W1Oj0adhnKC7V8wUTUq1kJJpMZsxetwt9b90OvN6BT6yhMGTsYSoVzvqufauFdumob1m87gLsP4qFQyNCueX18Ouo1qL0sM2QvD/8C5y7f4MAe83Z/vPVKjyeCTknLwMSZv+DwiYtsvEH9n2PrFbxIePkfC1es4TUbjIj75RCyLz1kt8nyqlsWoUNa2Py5lyWcgf+BcWx5s78OpsoZMPvpAbMM2hg/eF237E6Qe6VkhkDX71cYNQbIA60zsOx6W6VVUO9N3YjMo9ZlCCKZBOVn9oeyahgn3vG39yGhwHZlTIGOe1+AIkRl833YUvD87ljMfXkfpyjz0NjM4z0RWNbLlhDw3ToKkhTrfeVWSu/6LYyBlRB7OwNpiRr4h6gQ+ujgicQTibg07yJiDsbBYAZiDEac1lpmfdndGUTA0GlN0PNN/gbqKQk5j3ZpyEFwuBrrfryIu9FpeX39+tVjaFOTe7hGTssRMEME1YH5nHvS1eoJTdM3bLpPdylEwusumXh8P0h43T9HHi282wUS3i5c4f1m0Sq0aVYPlcqH4+K12xg96QcsmD4GTRvWyBPejUu/Qkiw9a+NXl5KSMRirNywG7+t/hcLpo+Gl0qBsVMXoX6tSvhwmGU3IEdfT7XwMrLLQC5XJgRJyekYNWke+nRvgzcGdmM5McLbp3trdG1vfdJcoZBDLpM+EfSHny+A0WjExDGv42FcEoaPn4Mvxw9Fm2bcQUbCyx+SrhBeez8I4pwEBG17lRcmp9KLiDsmRbjXBsiUlv1sDTop7qV0h/fwotcHa67F4faYFbyY/t3rovQ7LWAWSwCxZR1p7Pa7ODWauyyi7IuRqPslfzmEvffK1D/6dwy7/256ggbB5dToN6oWwur5c2Z8i2pHfWAG5DH8ZRypff+E+TGHYWxpvRk5sdZZWib+Ga0eF3WW2XSTCAiv6IuFB3sXeYtHt9/F5Nd35pUJ88/B3x/v4NUxlK6DrK5TIYm7DGnsJSB3l4YI6+ffESxdEYOE1xWU7WuDhNc+fq6o7dHCu836ILUrWOa2Iel6tsjmBo38ip2pZSYJc2d4d6+Zg9BS/H3wB4+agQ6tG2JQvy5szH1HzmLqnN+wa/Ucp9zSUy28uUSMJhNu3nmAMZN+wKQPXkeTBpYNmRnhfaVPRzzfmT/zVxRond6Apt2HYcXCSaheOYKNNXvhKiSlpGH6J9w1oiS8/HHp7sKriY5H8sZzCJbuRplyJ/NuwOBfFWnNp+DKoDUwZWngHZzGLj/ITPRlH3iqvuG9Ij+EzMwuM8Ob//ILS0al9rehUiawL+vDGiOz0Rh2VjjtQjISj8Tl7dJQ+rnib6lW0m+F0kEqxCbl2Cy80viL8N47BSKDJq9JTY0+yGkwpNAupJxPxq4+u3jvxRqZB9os258xwqtQSbH65iuccpkxmdBn6OEVroYiQI6dq6Mxe9T+vDJVSqfh9/e5M9bMm8aA8sjs/S2vTXFmIqT3TkKky4bJtzT0FZqVFJvL6pHwugx1iRsi4S0xOpdV9Gjh3VrfZRzzNyTpduax7Wo0OnQc8AFmTx6O5lG18oQ3KMAXXiolqlUqh5Fv9kWlCuFsjLZ9RuGLj9/Mm0i8cy8O3V8dh5PbFkOpdPyyBo8Q3lrtBkMmk2Li6EHo26NNXjIY4b19L5ZdklAmLJid+W3b3DJIigL9MCEZPV8bz4G+dvM+rN2yDysXTuIkm4T36RJeU44e0UOWwvBo/165SguVXzZKvdUB8paWbbOu9JoHsyHfmbqPbrH6+hEQyblLHfLffc7VWNz5YCUHSMM+B6Dys+4ny7ypjeiAzCYfCfJlldtocYWXqcccWyyLOw8YdTD6lYUxsArnHkT6bJhlliUSSaeTsGfAbt49xhtN2JGtZZczMMsaSlfwwaLDlr19zUYz9g89gNj/rEsVarxbA+Zmwfi4r/VQDj8vHbZ9to0XW1++KbI7jOe8Lkm8AfWWz5hp+rzXDeWbILuTZTmLu14kvO6aGWu/SHjdP0ceLbz/WB4odvUl6W59HqNg25/O+AnxSalYPPNDiEQidukos6w0NDgAmdk5+HPtDhw8cQGbf5/OrtNt2mM45k0bmTdJGZeYgg79xmD/+nkI9Pdx+K15hPAyUG/cuY8RE77FR+8OROc2jVhQl6/fgY/aC2aY8d+Rc2DWmiyb/xlqVClfJOi4hGT0GzoZF/b8yiaNuTbvOIzFyzaBWYuS/8rM4T7s5PAMPYUBVQoJdHoTjKYCpya4wb2kHIjG1U838HoS2rseIsd0Yl+/8M6fyLrKXR+qqhCEuksLn83MH+zqx2uRdvwW+5LcS4vGhRxQYVaHwtB3GacP6Sdvw5itg7JMAFQVnb+bgLdKCkeNXfGJ3yC6uBHQZQEKH5hqvwh99QFYVmstjDruLw6XdAac0unzZpaHT2uCAe9bnjY+M+8iTkzn/7ms7+7umPXlcezdaOHKXBNevoFedfJtXSaVw9xzClCmwLq2vQuB84WcYPfSN0AIV9jdYHjmdYFZY62Ui5Gt4R/F7E79fJb7wvxSwqxS0hYY488yE3e7d4VMzGzqA30hExiu7ivznevIy7hZIOHtWbjwfj1/BY6fuYJfvx0PH3Xhz6Ewf41v3PUdLJn9EaLqVmUnHr+a8BZaNrb8G0AzvMUYIXMWr8H9hwn4ZvK7hdYaOnYWoupWw7BBvYoEnTvDe3rHT+x6X+ZiZnjXbN6LVYsmc0WlwH6jxeiuxxZVK6XQ6IxuKbxJOy/jxjS+AAV3qYmKn3Rlc5J65CZufbUVhgzLn+8lXnJEjuuKgDa2CVLyzuMwpkVDIpWgdPoSXp7N3mHQvfgH+7rmXgqix6+F9qF1x4aQvlEoZsT50QAAIABJREFU924Hp44PHy8ZMrOt4lnSxkR3j0H6L/czwcQydJ+B6wd9cWrGWWTHWdbxlutSBqoXy+P6xWT2pLVaTULQsJ3lT1vMtffdQ7i54Q6vK+1/bInInhE49d8DxN7NhE+AAi27RkCSGA2k3GWXm2iDakLsHQCpTMypL9o8DaLb/EMszD0+hTnSfdf2SpjjshUSZGnoF+qSjk1n15NJxZCKRcjJd4S2s9uk+MUjoJRL2FlGZ576aWuPfL0cuw+4YZMwJ0hKnz/FuWXmWadJs35FzP14LJgx5rGyy/57p9GhSY/h+PvnL9hlDa+Pms6u92V2dmD/DTh0Bp/PWYo9a/lL02zlXFQ5j5jhzb3BL+b+jhytDl+Nf6vQe/7fiGno2bk5Xu7dsUjQzBreJt2HsXLLrDlhrpkLViIxORUzPxvGiU1LGvio3XkNb861ONwaxT/mN2RICwQPsPxlgLnMRhM01+PYv7srK4VAVMjxuUy55JuZuLDmLjJjNfAOU6L1G7sQ6POjNU5qACSHvQCj5S8FzKWN7IrMqFHsf8ct3I3ULfxZzcjFQyAP5++h64gPPROjJEsaCmtbdW45lOf5D+rlNBgMTc2+bBVNggYSpQQyn6K/8I9POIFba6yzuLnttVrcCuEdShd665dPxGPR5KO4csqyRrpR+7IYPbslSoWr2Z+VBxZBfpX/gFvW89NhDKnqKJwOj0NLGhyO1OEBaUmDw5E6PKAnL2kwbIhyOC9bAkpfsD73wsjusHFzIJfLMG3cm1DILd/xYpGYXYO7++ApPIhNQqsmddj3vv/5L1y/dR+rf5zCTnosW7cTy9btYHd1YNb4jp26ADWrVsD497jPddjSL1vKPLXCy0yNMw+pMfu9VapQBqfOX8OEr5Zg7ucj0LppXdyPTcSKv3ehe8dmCC0VwO4T9+2Stdjyx3T2acEngR49aR5EIjEmjn4NzLqStz/+BlM+HIyOrbi/VZHw8oeZOwsv09vYRf8heYN14b26bllETHsBzBZixbkyHmrwU9vdyEmxrA8NKp+M8Qfm8kKYH1SF+KyR3aFBV7oJsqLeh1li2drs3sS/kHU6hlen7Bd9oG5QvjjdKVZZRwmv8vxKqM5xl2cwHclp+AY0NSxrc2297v5zD4dHHuYUl/vL0XNfD0jVhf858N3OG3DjAvegiTa9IvHpj+3ZOJLYy5Y1vPkuQ5l6yO7KXYtvax9dVY6E11WkS94OCW/J2bmqpkcL73qBhLe3VXgzMrPRrCf/L+qR5cKw+Y8ZOHvpBmYtWIno2/fZlDeqVw2fjHwV4aFB7M+Mx82cvwIb/j0Ig8GI9i0b4POxg1n5dcb11Aqv2WzGpFm/4NjpK0hISkWZ0qUw9H890auLZUeG1PRMTPz6F5y9FI2sHA2qRJbF2GEvscBtAZ2Uko6JX/+MI6cusQ+9/a9PZ3YpRMGLhJc/LN1deJke6+PSoU/IgEStgCIyuESfrRM/3cT2CdY9CWt0vIo3lv7Ji6UXt0em/PtC23gwYwsyDvCPwi3/zctQVuPu3VuiTj6mkqOElznVzXvXRF4rGV1mwlDKsltKca6bq24iZvNd6NJ08Kngg6pDqiCogeXLseCVnqJF/5p82fYPVmHV+ZfziotTYiC7exLI3aWhqnOXixTnfh9XloTXERSdG4OE17l8HRHdo4V3nUDC28cqvI7IkStjPLXC60pIRbVFwvt0Cq8jxs/+WVewf+aVvFBVWt3A2yuW8kLrJN2QJZtZaJPMqWwPvt7CeU9ZJRTl5zrnTzq5DTlKeJl4yst/Q3F9K0Q5yTB5BUNbtQe01Z53BOIiY2SkatGvBl94A0NUWHHWKrxO74gTGiDhdQJUB4ck4XUwUCeE82jh/cu6BM8J6B4bUtqXf+y7K9u3py0SXnvoASDhfXaF99yKGGweaV3AL5Ga8MnR2fANyeBAyZJNg07yAuc1sfk2RDDCKKqEzMPR7Olspmwt5OWCEPBCA0h8HXvaWsEsOVJ4i/MRUp5dBWnCFZhFIhhCa0Nbu09xqvPKju65CZdPWtbv5l4d+1bCxz+0tSuu0JVJeIXOwJPbJ+F9MiOhS3i08K5pLAheaX/+Q8CCdKQEjZLwlgBa/iokvM+u8DJ3/nv3/3DveHIehKiXM9Dnm7OQmG7BLPKBTtIFWol1tlZivgAv/SeQmC0PZ5lFgciWToRebNkSzVWXK4RXknQNyvOrIUm5DbOMWZMlhiSZu15ZW6MnchoX/pCpLSxuXU7Gks+P4/yRWHaHhsYdyuL9r1vAx19hS3W3LUPC67apyesYCa/758ijhXe1MLvMSAccc//EP6aHJLx2po6E99kWXubuo7fHIjNeC+8QBSp3KXrdrVo/HDLTAQ40k6gs0uWF7BVr59gsqrorhNd3/VCIM+O43WBPnLDuWGFW+SOtP38ZiDjtHuS3DkCUkwqTOhi6Kh1hVgU4kYh7hSbhda98FNYbEl73z5FHC+8qgYT3JRJe9x/5TuohCS8Jb3GGlp+uNURm6567uXXT5PvY2V5XXc4WXklSNHy2fsC/nYLCK1Ug7RXuNnHi9Afw3jgGIoPlCGLmMnmHILP39zBLnfP0rqu429oOCa+tpIQrR8IrHHtbW/Zo4V3R1FYMDi0nffmoQ+O5MhjN8NpJm4SXhLc4Q8hX1xliM/cUN6Z+muIwzPAuTii7yjpbeJl1ut7/flx4H/PN8Br9KyLjee5Wbopza6E8xd/tIrv1aOgrtbPrvp+WyiS87p8pEl73z5FHC+/yZoIkQPrKEUHadUSjJLx2UiThJeEtzhBSGb6Cwsg9qEEvboUs2cLihOGVTV53AtkX7oE5R1NVPRxBA4v+7d/ZwivSZ8Nv9SuAmXu0MNvx/MIbXBUZ3WZx7kd57BcoLm3k3aOmyRtI8e+Eqz9fQ1p0OnuQRdlO4fAqq0bqpVSIJCIERwXDv7ofr25SbDayM/UIi/CG7DGHiNiVAAdXJuF1MFAnhCPhdQJUB4f0aOH9UyDhfZWE18HD9OkJR8JLwlvc0aoyzIXUxHxpGGAU10OOZCTMopKfqha/ZC9SNnLPN/ftUBOlxzz32K45W3iZhuXR26E6/RtE2ny7VuSTXdZ9ZSqkDVzJ6afi0iYoj/3M63t2+3HY9G4G0q6mcd4zF4jZdGZjRPa1HNph0Jsw5Y2dOLrzLvsz82DbkHFRGDCibnHT5tLyJLwuxV2ixkh4S4TNpZU8Wnj/aO5SlrmNSV/jHg4kSCdK2CjN8JYQXG41El4SXjuHkN3Vbwz6EYaUbG4csQjV1o8CRNYHxPIXcIXw5rbHPrgmEsN3HX83hsKEl5kdVm8ZD0mqdUcHQ1htxISOwc7+uwvllV96A2oH4LkNHdlyf3xzGr/P5p79zr5+bADCyvnYzd5ZAUh4nUXWcXFJeB3H0lmRPFp4f7McsuXqS/r6IVc36bD2SHjtREnCS8Jr5xCyu/r1fvNg0hp4caqsHgGxSl5ofFcKb24HvLd/CmncBU5/9BHNkdV2fCF9NEN25zBEmnSYvYKgL9cYcQfjsPf1/54ovIoABV48YTn4YvLgnTj07528OiFiCRQiEYZMa4bWgy2nLrrjRcLrjlnh9omE1/1z5NHCu7SlIAmQDj4oSLuOaJSE106KJLwkvHYOIbur3/lwBTTXuA/CycL8UHHJG4+NLYTwStLuQXXiJ0hjz8EsksAQ3gA5Td6Byavwo4MLdj7rbhY2t//nicLrV8UX3bZ1Yct9OWwP9m64CQmArgo1QsXSvPqRfcqj2Wzr5u2MXMvPbYA45Q4gVcIQEQV9lfZ256ckAUh4S0LNtXVIeF3LuyStebLw6n8RRnhlb5DwlmQsekQdEl4SXnsHcmacBrf2xEOXaUBARW9U7BBSrJCZx27i4eytMOXo2HoisRhhY7rAt10NtxLeYt3UYwqfm30elxdZj3OW+8uhTdFzSjf4rB6qDanCvrZtxTV888F+1JYq0IQ9/IJ7dVjWFqHNS7Evem38BJL4q5wCmlbDoK/e2RFdL1YMEt5i4RKkMAmvINiL1ahHC+/PrYrFwlGFZW9y95F3VFxXxKEZXjspk/CS8NozhB6eTsHyFw9Bl2VdklC7fzk8v6BhscKatHporsUBZjMUFUMg8S76pDEhZniLdUNFFGZmejNjMiH1kiKoQRBiNt9F8oUUiCVilGocjNLtuId/rFl4HveWXEdYKn/HiCZfRaHSwEiIU2Kg/msMr1VD2frI6TrRUV23OQ4Jr82oBCtIwisYepsb9mTh1f3U2mYOjiwof2u/I8O5NBYJr524SXhJeO0ZQv+MOYOzf1rXmObGGnqgA4KrOe+hqqdZeEvC+8yM87i8mDt7y8Rp+X1TRPQsB0n8NXhtnMALbQypiuxe00vSpF11SHjtwueSyiS8LsFsVyMeLbxL2tjFpqSV5UMLf46ipPFcWY+E107aJLwkvPYMoZX9DuHWvgReiIFrmkOfbcSpX24h/V4O1KUUqPNKBOq+HPHE5sTmhwD0MIkeX/ZZE96E44nY+dJeDjtFoALP7+4Kma8Mopw0eC/jr3nWV+0ATZsRT2Tu6AIkvI4m6vh4JLyOZ+roiJ4svNof2zoal03xFO/ss6mcOxYi4bUzKyS8JLz2DKGNw0/i4tp7vBB9ljbB34P5Z5a/vK4Fyre2rDkteInNd6E2joPEfJ59y4wg5EjGQSfuxiv7rAkvA+Dhvljc2XQX2mQt1OXUqPxKRfhXsx5SIT+1GopT1mOOTepgmL2DIYm7DojFMJSpD23Lt2DyDrYn5TbVJeG1CZOghUh4BcVvU+MeLbyLhDl1UjGMO3FgUyLcpBAJr52JIOEl4bVnCN3cFY9VA7kbeUe2K4XqPcOxbexZXugWY6qizSeFP4zmZRwHuYm7iwEjvWky/hfUsyi8tuRJnBEPcdoDmKUKKE6uhOTBRU41Q/nGyOkyzpZQdpUh4bULn0sqk/C6BLNdjXiy8GoWCrODjHL4HrtyImRlEl476ZPwkvDaOYRw/0QKbuyIZXdpCKzsjYZDInFiyU3s/MQyU5v/avJuZXT4vFahTfoaekBsth7WkFsoXbqFt7yBhPcJWTPq4fPLy7xCZqkSmUP+tDflT6xPwvtERIIXIOEVPAVP7IBHC+98AYRXJILy3cIP/3liMtygAAmvnUkg4SXhtXMIFVr9zoFErHiRv99hz/kNUXtAuULr+Bj6QGK+znsvXbodJlFpzuskvFxMJ/bdx8M7GVD7ytC0YzmovUSPEV4FMocss1Y2aCG9fRIibSZMPiEwRtR3yHAg4XUIRqcGIeF1Kl6HBPds4e3gEEbFDaIcQcJbXGYeU56El4TXWYN596QLOLbwRl74OgMj0GNeg8c2pzLOhcL0C+d9o6gOMqTLeXVIeK1Ivhi2G3s33sp7IbCUCt/81R3Vr8yB5OElDjtDRCPkPGc5GU6ckQDVhskQZSbmlTFUaAxN14/sHhIkvHYjdHoAEl6nI7a7AU8W3pwfhBFe1XskvHYPzKc1AAkvCa8zx642XQ/mYApVoAJeQYUfE5y/fUZ6peb9EEELg6g2NOL3YBLxZ4RJeC3UrpxOwIgeG3kp7Pd2bYwYWRrKwz/nreNl9uTVthoKk08oW15+bCXkp9bx6mraj4BZHQizyhemoPLs+5IHlyE7shKSuGiYpXIYIxtB22EYIGbOgONfJLzO/FQ5JjYJr2M4OjOKRwvv9x2die6xsVUjdwnSriMapSUNdlIk4SXhtXMICVKdhNeCff8/tzHlLf4XeOvuFTDlp0f/oJiZAytEgEjEyZVy1zxIrxeyCbvZWswY0QA5PSZA9ecoiNPiOPX1dbtB1/p1El5BPgH2N0rCaz9DZ0fwZOHN/q6Ts/EVGt9r1E5B2nVEoyS8dlIk4SXhtXMICVK9oPCmxWRDrpZCZcMssiAddlKjZw/H4oO+W3jRe75WHWO+LvqsesWh3yA7x6+LfMLLBDZLVYBeA5i5wmwKikDOwJnPpPCa7t6D6f59QCKBJLICRMHO3+rN0UOIhNfRRB0fz6OF91vXH3nOZMhr9A7HJ8pFEUl47QRNwkvCa+cQEqR6rvCeWHwTB6ZfYXeIYK7K3cLQ+9fGEEm4ciZIJ13U6PvPb8Klk/Gc1uas7Y56LbgP+hXsDrM/r+rvT/m9LCC8rPQysssT3nLIGTjrmRNe/fad0G/hbp+nGDwIkgaOeeDPRcMGJLyuIl3ydjxZeLPmdik5GDtqqsdst6O2sFVJeO3kT8JLwmvnEBKkOiO81y+kYGFd/pdXi4+qoeXH1QTplxCN6jRGbPz9Mu7fSoe3rxwtniuPGg0LP9yjYP/ECTchvXWM3aVBlJMO6Y0jhQiwyDrpm0969XW6QNeGf7obE8CT1/BmfzQe0Ok4nMQVykM5ZpQQ6S9xmyS8JUbnsooeLbzfPOcyjvkbUn/4ryDtOqJREl47KZLwkvDaOYQEqc4I7+E1d7DmJb6gVeoSij7LmgrSL3duVJT9f/bOAj6K44vjvz3JXVwICQnuTnB3lyJFihS3Yn80WClQXEuhQJAWd5cCxd3dPbiFuCdn+//sHiRZNnKX3N7eHTOfTz/A7cx7b96bS7+ZffMmAqB17IG01BpTrcFx81BAq98t/9rY3V1ml1fpDCo+BqAk0BSojMQGAwG5IlVZlga8dFQUVDt3QfvkCaDVQlqkMORt2kDi5WVUyOjISMRPmsIbQzk7w346/3OjhJu4sy44FImHjkP75j0oOzlkpYtD0Tw5b5IAr4kdLoA4WwbemPlNBfBYxiKd/A9n3MlCexDgzWJgCPAS4M3iEhJlOAO8V/a+xba2Fzn6XX0jkbdOTjT5S5ySN6I4IwOlkvC3UJ4OgDT4OdtT5+qDxBp9oMnlxxsp/fQE8jsHIHtxRQ+5KXZ0E+v2h6ZobUAqz3Calga8iWvWQnuHe/OftHAhKAYPznAunA5qNeL8+TfVSXxyQDlujHGyBO4dO2sRC7spm6JVEyia6Q8zEuAVOAAmEG/TwDtPJOAdTYDXBEvTOkUQ4CXAay0r99l/HxEXqoKLrz2qd8iL9x9iEVDmKOLDVCjb7jaaTjoMZ69odjoaqhpipXNAwz3d6SW+DIY2JgFyT2dERUlxd8NrRL2Lh0N2BYq3zYlc1bJZi3tStTPiaSRcLy6Ai4pbj1fnnguxHf5Mc26yB8dhd3MvqOhg0HJ7aIrXhapmT7Y/pYqDJOQNaEoCXY5C7I7vt83SgDd+3HjQCQk8Ox3mzQXkGQN8yoGqbduhuch9syBv2gTyZuK8ok0tiLqgYMT8zs+vlubPA8cxQwjwWsm32paBN3pOM1Gi4Dz2P1H0mkKp0Tu89x+/ROCr92jdtCar/9DJKzh25jrKlCiAHh2aQiL5fg67MPMnwEuA1xRfRCFlJEaqsanleQQ/ikpSU6yJD9psrIw3F0NxbekTdA0YBjtHLtAkSjoiXvJbqqbRWh3eT96FuLtvk56/i3DHzUdcwO12vA68/VyFnJ5gsp+se47rU26j1/A9UCi5OaeM0pgea0ArnNLXr1EBsuT6ybLHZ6E4uRLQadlxTK1eVa3uzFYw+5kuW27ovApYXA5v3NhxQGIiH3jnzgXsjANeRojm8hVoHz6C9vkL0DGxrFxJTl8oOrYHk8/LwLX20RP2T4mnJ6SFCxod58S9h6B98gw0TUOaPy8UrZuBUioNkqN9/xGx0/m/0Eh8vOE0aRQBXoO8KH4nmwbe2c1FcbDzOO6BU1GMyKRSo4G35/DZKFeqMIb1bYengW/Rrt8k1K1WDo+fv0a7FnUwoHurTJpincMI8BLgtfSVezXgOU5NfsAzs/3GKijYJAek9BM4a9vznmupEoiWbkt1euF7riN4zVnes/P3cyEsOhkqqvkXRY2xmT8AF3j4E+6uf43o9/Fw9FaiVJfcKNomp1lcvqfaQcQFxaP7kP1wcIrn6YzpuR60nb1RtjisHQIqJpQ3huHdr01dpT1QrQPcnOUIjuBDplEKU+lMf/wIOj4OlJs7KI/U85G/HZb49z/QPuCuIUn+/FAOG5ppcxIWLoH2RfINd4wgaYH8sOvYHvGLl4OO1r9tYJqsSiUou3YyWFfC1t1Qn7vE6S8rUxL2v+h32TNsWi2iR04CrVJzujIpKgw82/doD+e8vrCTU4iI4fbJUDbpYDYP2DLwRs1qYTY/plTkMj6VUoyiWGK8UqOBt1rLwVg2ewTKliyE5Rv24+T5W9i+YjKu3X6M3+auwpHNqZfZMd406xhBgJcfJ09XBaJi1VBpmIL9pIntgWPj7uLmKi5YMDY1ml0G5fvkh5QOhLO2Dc9MDeWHGOnGVM0P+usoIo/f5z279dwbb4Odkz4v378A6s8olSkXhD6Jxtqap3hjOx+qBd9K6adaZEphikGaWA22ld7LflK32TUU83vBEanNWRpxLSYZpYaKj4bDqv6pjkkJvMzta+rB6+HmZm9a4NVqoVq5HLpnz5JskNasBXnbdhnOgw4JgWr7DmifPmX7MrBr164tJLlyZTg2rQnHDvNP9ZGsVg2oz17gPXMY7w+Jb/ql4r4Oihk/FXRUMjB//dx54UxeCobu/UeoLl0HHR4BysUZ8srlwaQuqM5fQeKOf0GnqCih0+nTT+R+JZB9RG8CvJmLvtlG2TTwzvjBbH5MqchlwgFR9JpCqdHAW6nZAOxZPQ25fLJj0PiFyJvLG2MHd8a7D8Fo1fNX3Dz6tynsshoZBHj5oSLAa1nL98K8Jzg/9zHPqFYrKrJ5tkxz0baChOZCcYJkIBIkg1KdzOe/TyHi31u8Z9ef5sCH0OTX/PVnlUb5vvkz5ZBb/7zEyfH3eGNrjCuGqqOKZEqmMYO2ldoLTZwGEokONRvdRK78QZDKadj5lYOq8s/QOaV9WcKrf9/i4YqniH4VAzs3OxRolxd+/ysEx+Wp36zGAV7mlX+vxXDNldOkwKs5dRKaf/nXKNsNGwFJXv0VyBk2jYZNv6DVarZaA1NdIbMtdsQYVganSaWQFCnCpjt82+wH9IW0ZHGD1MX4TwQdz885dpo3FZRD8q48HRmFmKnzeX2dJo4Ck77AQHPk6Bk8nZSTI3yWTCHAa1A0xOtky8AbOb2lKI51/e1fUfSaQqnRwNvtfzNRuWwx1Knuh17D52DepAGoX6M8zl6+ixmLNuDIFrLDa4rAWLMMAryWFT0md3dtvdPQaZPfm2fL74heZ+pBai9ljZXSj6DUBbB/grKHmqqHeMnINCcSd+s13k3exXmupeQ4eiU31Fr9LljOKh7ouLcGJLLM5fVfW/IcZ6dwD4sxcqsML4w6ExKgpJdACuY1uxJq1Ec8ZdyOa0ZRujH9Dh6vTt4NZfqXHlocZYaXTHdo7Ic47KnBP9hRfX5FFHfcA9lzfQWHlO1b4KV9i0OqTYTaJQfU5ZpD5218Duu3OtRbNkN77SpPt7zLz5BWrJSRO9jnTFkx1aaNSbvEVLZsbHkyaanSBo1P2Slx1Vpo7nB/oZH5lQZtp4Dm6nWePPtRQyHNlzaYa27fBbNbC5kMmtv3oX3zjiND4pUdjpO5lSBUF64gYRN3HTODmHxfRZN6LAhHDv+dZwvl4gSfv34nwGt01M07wKaBd5o46aOuE/m/NJs3qpnXZjTw3nkYiF9Gz0d0bDyby7tu0ThIpVL0GjEHPt7ZMHNc38xbY4UjyQ4vP2gEeC1vIX9+EInHez8gNiQRrrns0XBwUcQr8e0tuEYZHnPxGaLOPoYuOgFyb1e4tvBDeIQdYj4msFcUZ7VCw4vjQdjTmQ+HLVZUQKUf+0GC5ANzjOGJ6I0EaoRRc8io87NtL/Hy9AeAolC4SS7kb50noyF4ffAdzg3h213op3yoOrsc7K7sgOTTc0AiAS2VQ/riBl9minJmtIMr4nv9ZVA5s/SMU+/eBe35c3zg7dkL0jL8EmupyVJt3gTttWucR5SbG5ST+VCYkaPo2Dio9uyD9pm+3BtT5szux9bQvX6D+GXcN4VMbq/9CH11hNRa4tZdUJ/n5uwyu8+6qBi2O+XsBGXndpD5cdNrVMfOIGEPPyfRrnFdKNvoDwVF/G8S/6IMD3fkWDCBAG9GQRb5uU0D71SRgHfSdwS8zPqNjUvAh6AQFMjrC6lEAq1Wi5v3niFf7hzIns1N5CVuXvUEeAnwmnfFmUbb16uFU7kF1zQKTCTluP9d3Fn3KklaiZ9yo8VSVzjTrXkatCiJGGqriTQDZw++xNwRZxH35VCSWzYlxi+ui0p1089bZdIZzg/l76QWbJ8X1eZV5NknDbwG6fsH7IUVkuA3ehj+piW2HgttXsOgNC0H6B49gurvFVxYdXSEYsJEwMDqBQkzZ4AODuapUE74DZRn2ikexgZF+zwQmnsPAaZKg1d2yGvXSLP8GR0Xj9gxE/l+LVQAik7tAZ0OEt8cqZqgvnUP8X9v4M+nSzvY1azCVpCIGDUdEop7HoFW2MN3+XQCvMYG1sz9bRl4I37n/ww0h3vdft9nDjWC6DB6h5exIi4+gQXcT5/D0P6HOtDqdLh57yny5/aBp4d1liDKrHcJ8BLgzezaEXOcOYBXgldQ6FZBiqeg4QgNVQ+JVDejpx37ORGxnxPgkE0BJx8lpHgOJ/rHVIC3OGKo7UbLT2tAz9o78eZ5BOdx8fJeWHog/Z2VqBfR2N+Af2Vz5WnlUKRrgXTtUxxaCOlzPiwnthgJbUE+LBs7We3tW9Ddugk6NhZUNk8wh9YkuXMbLCZxzmzoPn3iA+KkSaDcDav4YLAyAzvqPgcjbuocXm9Jdk84TB6XoZS4ZWuguZecMywtXACOIwaw4+i4BESNnMyXIZXB5585BHgz9K64HWwaeCfzDxqbw9tuU/SHeb+2xat347+TV1geZDY8u7VvjK7tGiU933fkApas3o2QsEiULl4A08f2QZ6c3uxznY7G/OXbsOe/c1CrNWhYqwJ+9+805mPpAAAgAElEQVQJpSK5lKMp52Q08D4JfIsBY/9AokqNyKhYPDi9lrVnyIRFyObmgimje5nSPouXRYCXHyKS0mDxyxbmAF4n3Y+Q0tzdynjJeKioLll2kAtdFxS45b1U6Ix46tcsy2YEJMRp0LyQ/mdbymankOLwy4x/xj1ZF4j7Sx8jPjgBEpkEBTvmQ5Xp5TK0TX51N+SXd/L6JXSbD527b4bjhe6g3rsXmjOnOWokOXNC4T9aaNVpymfybGNH8+tFM7V77YcNNMgu7YtX0EVEQeLsBAZ4vzbm0FrUmOl8GXIZfFYS4DXIuSJ2smXgDZ/E/6XfHK52n7qHo+aP5dtQu6ofCub1xYOnrzB80hIEzBqBKuWL4/mr9+g4YAoWThmCMsULYtn6fbh1/xm2Ldf/Erl130ms234EAbOGw8FeAf+py1G2ZEGMGtBRkKkYDbxMHd4SRfJh9MCOKFWvVxLwnjh/E3MDtpCyZIKEybqEEuC1/HgJDbzM4Tcn3U88R2io6oiVcF+rZ8ZbcpyCkv4TEugrS+gPrc1kd5JN0ZhDZI3yrOIc9GPkunoosed+V4NVqCLVsHORA4ae29Oqofh3PqRvkg9zqSu3hboqv06ywUaYuKN6105oHz4E1Gq2uoOseQtIfAwrF2ZiU5LEJe7YC/WZ8xzxyl5dIatQNmsqNRpEDpnAkyHxzg7v2ePIDm/WvCv4aJsG3okiAe80LvB+G8TuQ2eyO7XdOzTB0rV78fjZGyyeoa/XzZz9qtFyMA5tnINcvtnRc9hs1K9VHt3bN2afn7l8B1MXrMOJ7QsEWRtGA2/l5gOwe5W+LFnJuj2TgPfx8zfoNHAqbh/7RxBDLVUo2eHlR4YAr6Wu1mS7hAfe23DS8dMXNFQ5xErWm8xBFGJAg3n9ZfpXYDOHnMbx3dwd6lbdi2P47Bomsz8tQXbRn+EsUyOMcgWtzOA2N8GtsQ4F2gePoP3wEZRUxt7MJsltmgtK4jfuguo8N81E2aYp3Fs3IsBr4UvDpoH3t7aieN99+u409SYkqNDgp5GYP3kgqlUoidFTlyGHlwdnx7Ze++GYOro3alUpgzpth2HamD6oXbUMK/P1uyA07zoWNw6vhFJp+p/pRgNv9VaDsXbheBQpkIsDvIdOXMb8Zdtwcmfa98uLEh2BlRLgJcAr8BITRLzQwEshAi7aWjzbVVQnxEv4O2aCTNIEQlfNvo7714KYIg3wq+aDHqPKm0BqxiLkUolgN61lrJ30+NYDqnNXoH39jq2sIStSAPKKfnBQyAjwWvhSsWXgDZuQ8YUxQoTHYwa/jN9XPRNm/4PPoRFYOXcUKIpiU12LFcqDIb2Sd6Ob/TwWw/u1R5O6lVClxUAsnj4Ulcvp62sHhYSjfvsROLd3MTzcMl/jO615Gw28v81ZxR5am/vbAPg17MPu8L54/QEDx/+JmpVKY+KI7kL42GJlEuAlwGuxizMdw4QGXka1gl4HpW5+khVaqjTiJAuhg5c1usysNpsKeLV3b0P35DGbfkD5+kJWt4FZ52HLygjwWn50bRp4x4uT5uQxi3/GgFkJc5ZuYW/cXbNwHJwd9Ze7MDu8vjk8MaJ/h6TFwuzwTvHvze7qMju8M8f3RY1K+jreFrfDyxxU6z9mPj4EhSIsPAq5fb3w/lMwihbMg9ULxsDF2TQ5dJb/VdJbSICXAK+1rNWUdpoDeBl9TMqBhH4DmlJCh/QrFAjiR1UioFEDDuZNC9C9eQXt+TNgruSlHB0hKVse0gqVM5yiJl4LbbwGTtnts7zDq718Eeqd2zg6JcVLwq5P6tcbZ2gc6cDxAAFey18Qtgy8oePEAd5ss7nAy5SlnTRvDd68/4yA2SOSYJdZHUvW7MHTwLf4a3pyDm/1loNwYP1s9pbeHsNmsfm+TGUHpp2+eBtTFqzFqZ0LBVlcRu/wMlYwZcguXL2Ph09fQafToWihPKhbzY+9gOJ7awR4CfBa45o3F/CK5htVIuidq4HHd/QmuHuCavQjUKqC8CYlJCBx5u9AfBxHl7xnP0hKpn4jmTZBi3PDruLtkQ/sGKdcjqj9e1lka5h6/VhDJqFathi6QH5NX8WEyaKVEDPEbmvoo3nxBtSL15BCB7WXN+RlilmD2d+djbYMvCFjk3dNzRlYzzk7ktQxsDtg7ALY2cnZcmMKOzn7TEJJ2BxcpqpXl0HT2LSFUsXyY9n6/bhy8yF7Doxpm3Yfx6bdx9iqDg72SvhPDWCLIowbkvVKPqn5xGjgXb5hP3p0aAJ7pYIjjyk/ceveM3RoWdecvhddFwFeAryiL8JMGGAJwJv44jOgo2GXPzsoqf464ky1kCDQn/T5lVTuAoCzK+hD24HLJ7nilA6gxs8HqCzoMsBA3f27UK/jH96VVqsJWVt+5QpG5I0Zd/Hwb+41xnJHGTrcbAmpInP2Jv4xB/RHPUCnbIqRY0D5muZAlwHusLkuqos3ELuOu8ulbFgT9h1a2NxcrX1Ctgy8wWNS/1kidMyyz02udR4dE4eqPwziqcyfOwcObJjNfr7r4FkErNuL0PAolCqaH9PG9gHznGnM5uncpVvA1OrVaLSoV6Mcpvj3ZOFXiGY08DKVGc7sXsS7YOLh09foOXwWrh5aLoSdFiuTAC8BXotdnOkYJibwxt97i09//gdNaDRrocRRAe8hjeFUvYjRrqQvngD9Hxc+qM6/AOcOA++Tb2gDpb9TjmrbC/CrarQeYwbobl2HejO/EoW0QiXIOqV+8cbh9qcRfJ1bV5jR2WxffXj6uRujPqmvet1qaO992eFOIUExbRYoe4dMySSDgOjZAdC85F5rzfjFbclUUHL9DhdpluEBmwbe0cLUqs0octnncdOkMupvSc9NBrxMlYZpCzfg0r9LLWl+gttCgJcAr+CLTAAFYgLvu1+3If7BO86s5L7uyLest9Ez1c30B+JjueO8fUGp4oGIMD3kSrjXwqJ8TaCVcIdr6XdvoVo0jzcXWYtWkNZtmOocj3Y8g6ArIbxnLQ40gEepzF3XrnsZCNWqlez1vF+brEFjyJqRnUijF1qKAZHjZkMXHskT4TpzLCTZMherrNhDxqbtAVsG3s/+nUQJvdd8013fbu4JGAy8rXvqSwkxqQvMdnTKfF2VWoO3Hz6zhYbHDBInCOZ23Fd9BHgJ8Iq19rKiV0zgDey0GLp4Fc/8gpuHsLu9BrfwUOgWfHPDFkWD+rKby8Iu8/dvL31gNnsHTgK8cxmsytiOmgN7oT2TnFIhKVIM8j4D2LSL1NrdRY9w58+HnEfOOR3Q5kIzY1Vz+tPx8aADn4PWqCHxysFWaiAtax4gO7xZ8585R9sy8AaN7GxOVybp8l6wRRS9plBqMPCu2fYfq4+ptTuwR2s4OiTnWCjt7FCoQE5U8vv+EvcJ8BLgNcUX0dwyxATeFz2XQxv+za4sgEK7hoOSGXbwlb5yBrqDO0DRWo7rvt3NTRV4mRGtewJlqwvqdjoqCnToZ9AP7oOOiwWlUIAqXgoM/KbWrk+9gzeHP0BJRaJIxQgUauABSeE80BUXNgVDUCfYoHCSw2s9QbVl4P00QpiDXRlFN8efmzPqYrHPDQberzM4euYa6lYvBzu5zGInZU7DCPAS4DXnejOVLjGB9/OKE4g8dJszFSZ/12dsS8Omp1FDO30koNGwF0KkbDzglehzd3mtYTugRhPD9GWhl3rZItAvAzkSZN37QFLKL1WpVNAr2G2epi+l9qXp8peBur0/p3/o3XBEv4mF3EmGnHVyGH51cRbmQobqPZB48SZi1+zk+Jw5tObwU3PiIgvzgE0D73CRgHfhdwS8FraeRTeHAC8BXtEXYSYMEBN4GXNDN18Ac3iN1tGwL+aLbF1rgpIbuLv76T10S6ZzQfcL+Op3dJMhN60d3tOPG8C3Uy0UaS3cK376/VuoU8nllfiVg+znXqlGTXZiA6Q3j/GeqbtMhC5nYfbzy7/exNPNL5P6OOd1RMMNteCc5/uqgZ6JZZ+lIXRsPGK3HoTq2h1Ay32zwAh2D2AOrZGNoCw52cSDbRl4Pw772cTeMkycz6JNhnW0wF4G7/Ay1739OqwrAtbuTXcaX+urWeBcBTGJAC8BXkEWlsBCxQbeLE0v9DO0f05OVQSz48vZ5WX+nQKAmUEarQQr1zRCYqIcva42gFu+ZFDUPbgL+vMnwM4OksLFQHllvg6u7tkTaP7mH+KVFCoCWf8hqdov3zgFko/cHWGmo7rVEOiKVkb440j82/Q4b2yJPoVRcaL+PnrShPFA9PItUF2/z1tPX7W5zR5DDq0J4/pMS7Vl4P3wv66Z9ktWBvou3piV4aKONRh45y3bihYNquHi9fvpGty3y/d1ApgALwFeUb/BmVRu1cALQLd8Duh3KcqOMX6gv2zz2tsjwSE/Ep58gCpeAaVTPJzdoyCR6hAU4oqrNwrhxUtv1nNNlpRDiZ9ys3/XbNsA3c2roJQa0GoJoJVA1mcQJEX097wb2+iQz1DP5e5EMzIkVapD1i71w712q8aBCuPXztXU+xnaik3w7vhHnOx7kWdKrgY+qL9K2JxkY+dva/3DBk8BnahKE3jdl06B6u5TJF65C110LKSe7lDWrwx5Af36Is38HrBl4H0/JPUSh0J7OeeSDUKrEEy+wcArmAVWLpgALwFea1zC1g68TMkx3amDoG98gb+vsMsEI5sXqAG/ImjBQcRe0++WauT2uPPADR9CnTnharywLEp2yQM6LBSS/wbBsckLSD3j2T6Jd70Qc78zZA2aMdvEgJfxlzVodm+H7vL5JJ2UkzNk/QaB8kldlnzrbEjecqs1MIPVbYZBV7gCgq6G4MhPZ3hLrmC7vKjxR0VrXIpWY3PoL5OSUhm+fWugbFAdcr8SiJi3hjMfSqmAx5wRkDiTdBMxAm3TwDtYuNKK6cUq51J+jXExYpsZnUYD7/3HLxH46j1aN63J6jt08gqOnbmOMiUKoEeHppBIvq0BlBmzrGcMAV4CvNazWpMttXrg/TIV3a71oG9e5oRA0uAHUPX1B4iY8me0SoNHB0JwbAT3oBzz/OdjteHl5wb6zTO4encApdBwZCVezIXE4/odOp3CGVTHX4B8RY0KOf36JeiQYEChYNMkmD/TatLzeyC9qE8bY6CK/gLy6t4zIQl/D9mt/5D48h3iouV4+jAv7t4sxPat/0915GroY5RdpLNxHoiavwrqxy84g+TZXKHs/APsypZAzLbDiD9ygSfU5ZcOUFQh6SbGeds0vW0ZeN8N6mEaJxkpJVfAOiNHWE53o4G35/DZKFeqMIb1bYengW/Rrt8k1K1WDo+fv0a7FnUwoHsry5mdGSwhwEuA1wzLzOQqbAV4GcfQF0+CfvcakEhB5S8M+OQC/eo5uxtH+eQCVUhfBuz4qDu4t+E1+3e5gxSVhxdB5eH6g2CSyPNwdh3A87P2rTNi15RK+lyj9IJ0zAyTxyNJoCoe8p0LQL17mvSRtkoL6MrWhXLNCJ7e+5GtoKxTBznrZj7XWLjJ2JZkzZsPiF2/F5pX7/VrKI8PvPq2RcKX2sbR6/cj4fQ13qSde7aGsjbZfRdjNdgy8L4d2FMMlyL3srWi6DWFUqOBt1rLwVg2ewTKliyE5Rv24+T5W9i+YjKu3X6M3+auwpHN/BuGTGGopcogwEuA11LXZnp22RLwppwnfesqtDu4OxCS2o0gadqG7aZJ0CIhQg2nHNy72qV4CCfw76bXvnZB7LqSSSpoWgJMXiF4yOVh7+EkVSNC4gra2R3SR+dgd4R/bbumbBOo64rzalNwJ1ioAiY/V/v2EySfQyCldVB7Z4e8RCHEH7uEmC2HeFa7jesDeZF8Fjob2zbLloH3zQBxgDfP8u8IeCs1G4A9q6chl092DBq/EHlzeWPs4M549yEYrXr+iptH/7btb9A3syPAS4DXGhe8rQKvdvl80G+SS3axsaEoyKYsBGTpl4xyRn1I8JkTzsQzuZB4JvnQkU4rBTWFD56mXgNyqQRuznIERySyomXX/oX8Av9KT21eP6h+HGNq9UReOh5IvHQb0f/s5PSwb1oLjh2aIHLBOqjuP096Zl+3Epy+s7eelrR4bBp4fxEJeFd8R8Db7X8zUblsMdSp7odew+dg3qQBqF+jPM5evosZizbgyBayw2tJX3gxbPF0VSAqVg2VRieGeqLTAA/YKvBq5kwAIiN4HpCNmQa4eaTrGRmuQIEASPEYgD3iLjlCe4xbpzcmwRuOM/mVFwxwub4LrYP03B5QHwLZFAxd3uLQVeFfWMAD3kt7Ib+yg6dGm6sUVO3HG6yedMy6ByJmroAm8C1XEEUh2/LJoGQyaN5/Bh0bB4m7K6TZ3bOukEjItAdsGnj7p17LO9POMnBgnpXcg5kGDrOIbkanNNx5GIhfRs9HdGw8m8u7btE4SKVS9BoxBz7e2TBzXF+LmJi5jCA7vHxPE+A11+rLvB5bBV5twFx9Pu83TTblT0Bux/tcd+cGEBEOODpCUqosoLRP6hN58Drw33bYO8WDpoH4GAdI23WDc/3knN70IvD0bgg+vYuBs6sdytXwBRX2CdJDq0C9f8YZpqvcDNp6HTmffQu80ntnIT/2N6fGMK2joCnTCJqG4hxeyfzqs+6RYf5zoQuP4k3CY64/qcNrYaG1ZeB93a+3KN7O+/dqUfSaQqnRwMsojY1LwIegEBTI6wupRAKtVoub954hX+4cyJ7NDa/fBbGpDt9DI8BLgNca17mtAq/u2gXo9nCvvpRUqwNJS35+rmb5n6BfJV/yQLm6QzpoFChXt6SQqt6GIjEwiK1KpijiA7mPYTt2s4efweHtyQfPRrQIQ7sCj0GlctUx7ZINmoF/pAu81KeXsNuYfNnGVzm0dz5oKjSDthipwWuu72HEtGVJB9dS6sy2bDIoO7m5zCB6DPCALQPvq759DPCA6bvk+2eV6YWaSWKmgDcj237oNg4HNszOqJtNPCfAS4DXGheyrQIvEwv6xTPQL58Bui9VGkqV44VI9/AutOtX8j6XNmkJSb0mWQrp/etBGNJqf5IMpVyH4wP0pdNSA14oHaEexr2R7dsdXmas9NI+yK7sh4TW5/WmbKoW/4O2SJUs2U0GG+aBhDPXELN+H6ezsn5VOP38g2ECSC+zecCWgfdlb3Hepudf/Y/Z4mdqRQR4s+hRArwEeLO4hEQZbsvAa4hDdZfPQbt3G6+rpGotSNtw0wsMkZeyz7HdzzFjyKmkj/J7xGHDz/oawKnu8OYpBk3ncRw1qQEv04G5lEKxcybPJJ1vUSR2nGisqaR/Jj2gfvISCHwNCa2DxtsbiorJlTwyKZIME8ADNg28vfoJ4LGMReZfY72FCQjwZhzfdHsQ4CXAm8UlJMrw7x5479+GdiN/p0LasDkkDfmHyIwJ0sVjb/BrjyNJQ7ycVNjd67r+35T+Qomk5uACTasBoPOWMAh4ZVf3Q35hO88c2skDCf3+StXMmLex0Cbq4FLACdR3djGQMXEztq+DQgY7OYWIGLWxQ0l/M3nAloH3Rc/+ZvIiV02Btfw3Y6IYkgmlVg28a7cdxt7D5/H2w2coFHLUrVYWE4Z1g6ODvsbmgycv8fsfa/Hs5XvkzOGJcUO6oNaXG290Ohrzl2/Dnv/OQa3WoGGtCvjdvyeUCv3BlvDIaEycuxqXrj9g5XXv0AR9u7TguZgALwHeTHzvRB/yvQMvEwDNolmgP+ovEWCbUgnZkDGgPL2yFB+tlka3mtvw4XU0K8dFqcGhflf5kOrqCe3AOcy2L+9ZWju80rsnYHeCf0qadvVGQm9uHnDM+zicGXwFwbfCWPlyJxkqT/JD4Y6kJmyWAvxlMAFeU3hRWBm2DLyBPcQB3oLrCPByVq25cngZ2C2Y1xe5c3ohNCwKwyYtRtvmtdG7UzMWYpt0GYPObeqjU+v6OH3pNqb9uR6HN8+Dh5sztu47iXXbjyBg1nA42CvgP3U5ypYsiFED9K8zR00JYA/jTRzRAx+DQjFw3ALMGNcPtatyr4gkwEuAV9gf2cJIJ8ALQK2C7vpl0BFhoBydQJUqB8ojW9oOp3WATgdI06/nywj4+CYa+9Y9xIfXUSjgmYC+Lnv0cr/u7tIUaE8faPunfmtbWsBLhX2Acu0Ydqc4ZVP7NYamPvcCigujb+DZ9lecfjIHGbrcawmJjA/Zwqw025WaGvDS8YlIvPkIupg4SD1coahEUh3EXAG2DLzPu/8iimsLrRf+4h2hJmbVO7xfnaLV6fDi9QeMmLQEk0b2QOVyxdmb34ZOXIwL+5ZA8uU13k+/TGHht23zWug5bDbq1yqP7u0bs2LOXL6DqQvW4cT2BVCpNajSfAC2LJuEYoXysM/nL9uG0PBIzPqV+1sVAV4CvEJ9OYWUS4DXCO9GhYM6uB7U83v6QbkLQde4I+CbH9TVY6DuXwYVHwPa3Rt0lUagC5ZmUwikii9QGRsF2aLhPIV03mLQ/pz6pRFpAS8jRHZmC2TXD+mhlwZ03vmhbusP2sGFo2N/0+MIexTJ09v6SEO4F3M1wgGka2oe+BZ4dWGRCJ/xD7RhyT63K5YfbmPFqZdKogbYNPB25V+Fbo6YF9oo/MU7Qs3DJoC3ZN2ekMtlmDi8O9q1qM36avv+U9h16Cy2LU8u5TNm+nLkyO6Bkb/8hDpth2HamD5JO7ZMKbXmXcfixuGV+BgcBmaXmvm7UqlPcdh54Ax2HjyDrcsmcWJBgJcAr1BfTiHlEuA13LvUruWgHn7Jwf06zCcf6OqNIdnD3e2gIcGth8VAqeOhggNk5auh7LhqkP77D6h7F/WjmTxe0NAVLAO6XF3oCvOrSKQHvKyIyGBQkZ8BO3vochRIdTIH25xKSmdI2aHtqcZwKeDMG/Pm6EdEv42FwkWO3A19oHDn1y023Gu23/Nb4I3dfxqxe07yJu42vCvs/IrYvkMscIa2DLzPfh4oiscLb1omil5TKLUJ4GXycQNfv8fg8QsxelAnNKpdEet3HMGJ8zexblHyLUST561hwfi34d1QpcVALJ4+lN0NZlpQSDjqtx+Bc3sXIyg4DO37Tcb9U2tAMQU4ARw4dgkrN/2L/Wu5J6SZgvSkcT3AuIz4xbJXBYmR4fEJnjgAuhh9Pm7KZl+5JhKun+N9nnLtq1QyxNYahWId/ZBw4xwSzh2C5gP36mPHFj/Dvk5LnpysxujCnHs4O/0OR663nwd6n+cfytvx0xk8O/Quqa+DpwLdjjZGtiLcXWPDvfad9Pyyy87M9l3AToQeucKbeK5B7ZGtCSkZJ8qKSBEfUfSnUPoFJUxmxtMug0wmyxhBRTYHGNPdovoKArz+U5dh/iTz//axYOUOvP8YjD8mD2J3eJkc380ByaV6mB1eb093Nk+X2eGdOb4valQqzQYktR3eW8f+gZ1cn6/H7PDuOHCas2PMfP4xLN6iAmoJxmRzUSA6jlwtbAmxSMuGHB72CAqLZ96I21zTXjoD+vkTQKsFlTMPpA2bpXowzNCJU3+MAGL5wIvSlUA9SOUw2jdOfUnVQr7ferLXCsvm9tPnAadodDYml5f7izSzw+vqJEdIJL/mrqF2M/1u//kIb49/hCZeg2yl3VF2WHG2WkPKFnQ1FAfbneGJLf1LYVT6Tf/zkTS+B9gdXhmFiFh9lYaY3SfB7PJ+29yGdoaivH5jhTTzesDVQQ6NjkZsgsa8ilPR5uORfIujKYx50nmwKcQYLaPoFm7NcKMFiDjAaODtM3Iu/pwyGC7Ojhyzb91/hh0Hzoh6tTBzKC0+UcXacPXWIwyfvITN4f26S9uh/2R0bFUf7X+ogx7DZrGVGbp9yeE9ffE2pixYi1M7F7I5vJWbD2DhtmjB3Ow85wZsRUhYBOb+xs2bISkN/NVLrhYW8RttoGpbTWnQnTgE7fGDHC9ISvpB2jXzJ5qpPStB3f8GbHMVAF2yEiTHtvI8/u3bjfeoCJ/fBgJxUZD/NYwfIebiieFLOJ9nlNIArYZNa4CdErSTYbe/pbU0Xv77DqcH88E9f8tcqLu0soEr6vvr9m1Kg+ZDMMKnLAetSi5TJsuTAx5TxNmJ+/4iwp+xLac0POk0RJQQF93K/VklihGZVGo08DL5smd2L4KnB/fQw9PAt+g4YAqYXVFzNOagGnNIrWu7RiiYLydu3nuK8TP/ZmGcKT3GQGvjTv4s0P7Uqh7OXb6DifNW4/Cmuez1x5t2H8em3ccQMGsEHOyV8J8agBJF8rGly5g2fNJiUJQEE4d3Y9Md+o/5A7+P6okGNctzpkeAlwCvOda7qXXYKvBq/pwO+vNHnrvkk+YB9g6Zc2NcNKhDG/WH1rRa0HmLgG7UEfDOxebwUg+/wCIlAf3N7i2jMCRPC3h0b8vqlv85CEjkvhWic+SFpufvBgOv7NoByC7sYG+SY5ouf1moWo8AJNJMze/jhWAc7sxPzSjRqyCqTPHLlMzvYVBqVRq0QaFIvP4QuphYSLO5QVmrPKgvpS6/B59Y2hxtGXgfd/yfKO4utm2xKHpNodRg4GXq0jKtZuv/sXmsHu7Jhx4YuGRyZg+fuspWOTBHo2kak+atxtVbjxEcGoGcPtnR7+cf0Kpx8p3ydx4GspUXnr96D19vT4wZ1An1augPiDDAPHfpFuw7cgEajZb9fIp/TxZ+mRYaHoWJc1bh8s2HbB3en9s2woDurXhTI8BLgNcc693UOmwWeGdPAB0ZwXOXbOw0UG4epnajXl58DJAQB7h4IG7+dDip3ybpiZN4Qjnqd0Chf50puXgA0rO7OHZof+gLXakaBgEvFRUMxT8jePPQVGsL5r/MtoM/nsbnG/p6vV/bD/vqIns5gXyWWUMtaBwHeJlfdCSk1JsFhYc1xZaB99FP4gBv8e3fAfAyO7vpNXulAlP8e6FFw6qWtuYFtYcALwFeQReYQMJtFnhXLwH97BHXa/YOYHd4zdSoJzdBR4aDcv2ySlgAACAASURBVHIBXbwCL3+Y+vACVNBrFpDonIVAe+bkWZbm1cIvb8Nuz3xef13BCvpd3kw2nUaHJ5teIvp1LOxc7ZC3iQ8pXZaBLxngDVuxE9GX7oFOVEOW1wdObRuQigyZXINCDLNl4H3YfqgQLstQZomdqd/omOFAC+hg8A4vc2sZ05hativnjYKbS/LBB4XCjr3JjIHe760R4CXAa41r3laBl37xFJpNq4C4mKSwSFt1hKSavlyhtbQ0gffNfdjtnM2bhrZoVahbiJPTZy0+NbWdiXtOIHIf97CfxMURnn+NNbUqIi+THrBl4H3QLpXzAJn0kzHDSu5aZEx3i+prMPB+tZpJbWBg9+tBMIuajQjGEOAlwCvCssuySlsFXtYxGg3oNy/0VRpy+ALO1nfJQpqH1rRqKFYOBRXPrRqhbtwX2lJ1s7wuiADDPRA5cxUSn77mDfCYMgCyvL6GCyI9BfOALQPv/bb8y2wEc2QKwaV2LzSHGkF0GA28jBVPAt/i9oPniItP4BnVq2MzQQy1VKEEeAnwWuraTM8umwZeawzINzanV6VB8v4p6EObIY0LBi1VQFukCsDc/EaaWT1AgNes7s6UMgK8mXJbuoO+K+Ddf/QiJsz+G9k93BAcFoE8Ob0hk0oR+PoD8ufxwb/ruPUkTe9uy5JIgJcAr2WtSMOsIcBrmJ/E6pUe8H6YtA3x995wTPOd1gn2pfQlFEkzjwdISoN5/JwVLbYMvPd+zHzOflZ8WnrPn1kZLupYo3d4W/b4FU3rVcbgnm3YyxvWLhqP/LlzgLlsonzpwujyY0NRJ2Ru5QR4CfCae82ZQh8BXlN4UTgZaQFvwpMPeD9uE0+xS8MyyD64iXAGEck8D5BDa5a/KGwZeO+2GSlKAMrsNU8lLiEmZzTwlm/cj729rFihPGjedSxmT+iPMsULsiXJlq7dS3Z4hYiSlckkF09YfsAI8Fp2jNIC3thrz/Fp5h6e8Y6VCiLHr5kvS2bZ3rBM60hZMsuMS0qrbBl477QeJUoA/Pb9IYpeUyg1GniZG8hWzB2FcqUKo5//PDSsXREdW9XDpRsPMHj8Qtw8+rcp7LIaGWSHl+zwWs1iTWEoAV7Li9r960G4duYd4uM0KFjUHV37l0ZwBPdq4cTAILzzX88z3rVZOXj2/77erokdwdQunhDbJqKf6wFbBt7brfxFCXfZ/fyyiKIYkgmlRgNvm16/oWWjaujTpQXW7zyKjTuPYuQvP2HXwTOIioljr+P9nhoBXgK81rjeCfBaUtS0uH/lMNYuuIzAx9kQGqy/Ea5xm4L4LaABz9CgefsRc/FJ0ucSBwV8p3eCIr9XpiZFqzTQhMdA6mwPRta3LfReBELuR4CSUPAq7wG3wsmXDmVKoY0MIsBr+YG0ZeC91XK0KAEo9y+/pjlzedf0RRsgk0nx27BuSXYlqtRgsgK+bUyWgF+JgtDpaMxfvg17/jsHtVqDhrUq4Hf/nlAKdDuh0cB7/c4TMLecVSpbDAmJKoz8PQDnr9xF3tw5MG/iADbV4XtqBHgJ8FrjeifAaxlRk+ImHCQjQSEkyaBZ4+ti25oy7L83X+iIXPn5ZdXirgdC/TECEgc7OFQoAKmbY6YmFLbhDCL2XEka69zID9kHJucC31vxFNdm3OfIrvVHBRTukDdT+mxpEAFey4+mLQPvzRZjRAlA+YNzOXpPXbiFmX9tRFhkNH5sVitV4GVu5/XydEsa5+CghFQiwdZ9J7Fu+xEEzBoOB3sF/KcuR9mSBTFqgDBVZ4wG3tQ8zABwyrq8r98FIW8ub1GCYW6lBHgJ8Jp7zZlCHwFeU3gx6zIcqEGQUWc5gmKi7VCz8AD2s4D9rVGqojA/SxMevMWHiVt4k/Aa/gOcapfQA3fZg0gI46ZVeBR3RZsj/J3nrHvDuiQQ4LX8eNky8N5oLs4FJxUOzUk18POWbQWzo5vaDu/JHQvgnZ1/TXnPYbNRv1Z5dG/fmJV55vIdTF2wDie2C3MwziTA++3sf+g2Dgc28G8Dsvyvh/EWEuAlwGv8qhF/BAFe8WPAWOAkaQwJPvCMaVG5J96/ccH2K52RI7cwKQSRB28gdNUJnm7X1pWRrUddJEaqsan0v7znckcZuj1qZRkOFNEKQ4E38e4z6MKiIHGyh6JCcYCiRLT6+1Jt08DbbJwowazwX+pslx7wZnN3gYO9EkUL5sbQPu1QMJ/+Yham0te0MX1Qu6r+jRazWcoUQ7hxeCWUSjuTz48AbxZdSoCXAG8Wl5AowwnwiuJ2nlInyY+Q4Bnv84HFh8O3aVEM+6OWYIZGHbmNkBVHefLd2lWFx8/6q5jXFd4HbaKW08c5jyM6nCcl0AwB3vD5G6C69zzJfzLf7HCf0BsSJ32eNmnCesCWgfd60/HCOi8N6RUPz0r1SWrAy+To3n0UCG9Pd8TExWPjzmO4cP0+DqyfxebpVmkxEIunD0XlcsVZmUEh4ajffgTO7V0MDzfT/6JPgDeLS4YALwHeLC4hUYYT4BXF7TylCmo5FNQSzufPjhbD1p+7IV/N7Gi9q7pghqrehuDdsNU8+T6Tf4K9Xz42leHir7fx6tB7Tp8KY0rCb0hRweyyFsEZAW/inaeIWMCvmez0UyM4tqhpLdO0ajttGXivNflVlNhUOpL65WKpAe+3Bmp1OlRq+gv+nj8aFcoUYXd4Z47vixqVSrNdyQ6vKCE1XCkBXgK8hq8Wy+lJgNdyYmFHbULwzUNQRcbh452cODu/HrQqGWtg17P1ka2o6Xc6vs4+5sJjRP13E5rgKPbgm3OD0nBpXBYP1wTi0qQ7SU6yc5Yhd4McyNcsJ/I1z2k5zhPRkoyAN/7kNUStO8Cz0L5+Jbj0+EFEy78f1bYMvFcbTxAlkJWPzkhVryHAm5CgQuUWA7Fn1TQ2raHHsFlsZYZuX3J4T1+8jSkL1uLUzoWCzI3s8GbRrQR4CfBmcQmJMpwAryhuT1PptuZn8elGOO/5Twdrwaci/7CHkNbTWhrri++HJp6bysDAboOVVYRUbVWyMwLehKsPELl0O29Ojq3rwKltfauaq7Uaa8vAe6WROMBb5ZjhwHvywk18+BSKmpVLQ2Enx1+rduHZy/fYvuJ3SCQUNu0+jk27jyFg1gg2x9d/agBKFMmHcUO6CLLkCPBm0a0EeAnwZnEJiTKcAK8obk9T6dGhN/Fo21ve8373msLBi18bV0jrIwOjsbPuMZ4K1wJOaHuiEc6NvonXxz6xub1MXd5K40rCq5y7kCZZpOyMgJfWaBH66xJog8KS7ZdQyDZ1IGS5ham8YZGOEtEoWwbeyw1/E8WzVY9P5+g9dPIKZizcwJapZSp22SsVmDyqBxrXqYQ7DwMxL2Arnr/Sp0VV9CuKX4d2ha93NvbfTIrD3KVbsO/IBTC1fOvVKIcp/j1Z+BWiEeDNolcJ8BLgzeISEmU4AV5R3J6m0pCHUdjf9TKi38cn9ak7rjj8RhQxu6GxH+OxtfJ/PL2eZdyQvVw2PFj7gvPMvYgz2p/k3/IW9SYWjza8RNSbOCjd7VCwZU741shu9vkIpTAj4GX06iJjEH/2JrQhEZA4O0JZuSRkeXIIZRKR+40HbBl4LzWYKEq8q52YJopeUyglwJtFLxLgJcCbxSUkynACvKK4PV2ltI7G2/MhbCpB9iIuKFDOnXe1sLms/q/zeXw4/5mjruLYkni66y0inkXzzOh0qQmccydXHtCqdNhW+xhi3sVx+rbaXRs5Kut3d6y9GQK81j5Ha7ffloH3Yv1JooSn+smpoug1hVJBgNd/6jLMnzTQFPZZvAwCvAR4LX6RpmIgAV7LjppcKoGbs1w04FVFqXH7r8cIuRcBmUKKnHW9ULJ3IWyvcwyRgTF84L3YGEy5sq/t1eEPONo3+Qa3r5+X6V8IVSfpT2RbexMKeNXP3iLx4QswVz7Lc3tBWdU2/CVGvG0ZeC/UmyyGS1Hj1BRR9JpCqSDAawrDrEUGAV4CvNayVlPaSYDXsqMmNvCm5Z2zo2/hyZZXnMcM6Ha6qL8p6Wt7sv01zoy8yRNTtGNe1PmjvGU730DrhADehMv3ERGwk2OBfc2ycO3fxkCrSLeUHrBl4D1f53dRgl3zjDh6TTFZg4C3YtNfDNZ1/fAKg/vaQkcCvAR4rXEdE+C17KiZAngTwlTQaWk4ZDfdobfECBXOjGAOrX1kHehRwhVVfiuFXLW9OA79eDkE/7Y/x3NypbElUO5/tlHDVwjgDZu7Hqr73Bxpxolef/lD4uZk2YvWAq2zZeA9V1ucndZaZ8XZWTbF8jIIeI+euZaka9u+U/Bwd0Gj2hWSPmNu05iyYB16dWyK/l1bmsIuq5FBgJcAr9Us1hSGEuC17KhlBXjDA2NwfPgtfLymrw7gUdgZdWaURu7apjswplProFXrIHfQ1wtOrZ3833U835NcecKzlBtabKsJhavcsp1voHVCAG/IrwHQvOPmTjPmeM4glR0MDAunmy0D79la4uTS1j4nTu5wZuL/7RiDgDfloAY/jcSMcX1RtXwJjqyAtXtx/8krBMwabgq7rEYGAV4CvFazWAnwWk2osgK8B3pdxYv/9DuwX5tHUWd0PWP+2q+fb4cj5n0clG52NlWhgfGrEMAbPn8jEu8mX0X8NX5eS0ZD4pKcI201C1lkQwnwmj4A3xXwlmvUFyvmjkq6+/irO5kbMkb+vhQ3j/5teg9bsEQCvAR4LXh5pmka2eG17KhlFnivnn6HK71ugY7X8SbY72Ez2HvYWfbErcg6IYA34cZjRCzayvGCQwPmZrYWVuQZyzHVloH3TE1xyoPVOS9OOTRTrCqjd3i7D50JTw9XzJs0EFKJJMmGqQvW4fSlOzi5Y4Ep7LIaGQR4CfBazWIlO7xWE6rMAO+6hTfxz9zr+EGXHfZI/tn8ddK/PGluM+kElhBIIYCXmReT0qB69BK0WgNZTi8o/ApbwnSt0gZbBt7TNbgXQJgrQHUviHPhhSnmZzTwvnj9AV3/NwMuTo4oX6YI5FIp7j95icfP32Dq6N5o16K2KeyyGhkEeAnwWs1iJcBrNaHKDPC29tuAsOB4VKRdkJ+258w1Z7VsaLenptXM3xoMFQp4rWHu1mKjLQPvqeqpX/ErdGzqXRTnSmNTzMto4GWURkbFYv2OI7j3+CV7H3JuXy8WdIsVymMKm6xKBgFeArxWtWC/GEtSGiw7asYCrypRiwb5V7GTkoBCedoZ3rQd+/eSLXKh5qQScM1rXTmgdKIaugQVpK6WaTcBXsv+DjHW2TTwVpspSgDqXfpVFL2mUJop4DWFYluRQYCXAK81rmUCvJYdNWOBl5lNm7IbEfqZe7OZdy4n7LzaRZTJBu5/hzsrniPqVSyUHnYo2iEPyg01rCTZ5z/3I/b8I9ZuqZsj3DvVhHOjsqLMIy2lQgGv+tVHqB58SWnI5QVlxWIWNW9rMsaWgfdk1VmihKL+5fGi6DWF0kwB7+eQCGzecxzPX71nbSiULyd+btsQ2bO5mcImq5JBgJcAr1UtWLLDaxXhygzwblx8GytmXeXMb9DEqug8sIzBc9YkaHFnZSDCnkXDzkmGfA1zIG8Db4PHf+0Y/TYOm6se4Y1rsLQSCrXJla68iJ0XEb6FX8M3z6ohLPxaShMCeBOuPkT44h2cKTrULQ/XPt9XuU9TxdiWgfd4ZXGAt+HV7wh4b91/hn7+85E7pxfKFCvArss7DwPx/lMI/vljNPxKFDTVWrUKOQR4CfBaxUL9xkiyw2vZUcsM8DIzunnhAx7dZuq4UihZ3gtlq/kYNdHdP57Hh8shnDFNV1RCoVY5jZLzfO87nBicXL/96+AS3fOj1qz0d2qDZu1C3HV+aa4cE3+Cfdn8RtkhZGchgDds7kYk3gvkme29ZBQkruTiCWPjacvAe6zSbGPdYZL+ja6NM4kcMYQYvcPbZdA0lCqWH78O7ZpkL03TmPHXRjx6+hqbllrvCb7MBIAALwHezKwbsccQ4BU7AunrzyzwZmVWIfcjsbXRKZ6Igi180eyfykaJfrrrLU4Nvc4bU7xLPtSeVy5dWZ/n7kHslae8Pjkmd4J9mbxG2SFkZyGAN3j8stQvnpg5APLcxu+0Czl/a5Bty8B7tOIcUULQ+PpYUfSaQqnRwFu2UV9sWz4ZRQvm5uh/EvgWnQZMwa1j/5jCLquRQYCXAK/VLNYUhhLgteyoiQG87y+EYE/78zzH5KzuiR93GVfhIexxFHY0OMGTVXtuORT/OV+6zo86dAOhq45z+kjs7ZDnnyGglJZzS5sQwEt2eE37vbRl4D1SYa5pnWWgtCY3xhjY0/K6GQ28tX4ciulj+6BOVT/ObE5duIXJ89fg7J6/LG+WAlpEgJcAr4DLSzDRBHgFc61JBIsBvFGvY7G+6jGe/SW65EX9P9LfldVpaKii1VC6J19scWf5M9xa/BSJESomwwLZy7ijcPs8yFPfG6750s/FDd98FjEXHoGOS4Q8lyfc2laDfTnLSWdgnCQE8JIcXpN8fZKE2DLwHi4/z7TOMlBa05ujDexped2MBt45SzbjxPmbGDukC0on5fA+x6zFm9G0XmWMGdTJ8mYpoEUEeAnwCri8BBNNgFcw15pEsBjAyxh+dsJd3F39ImkODtkVaLWlOjxLuqY5r1Mjb+HRttcADTh4KVFxRFGU6pEMpwe7XsLbU0FJ4ykphTa7a8G7oodJfCWWECGAl5kLqdJguojaMvD+V26+6RxlhKRmt/yN6G1ZXY0GXpVag/nLtmLrvlPQarXsbGQyKTq3aYBRv/wEuVxmWTMU2BoCvAR4BV5igoi3BeB99iQUL56FQaGQoVK1nHB0sp1rc8UCXmaxBd0OR+SLWMgcpMhd2wtyB2maa5Cp6HDh93u8592uNIZzbgcE34vArqanec+ZXN468yyrzJixXzShgPdbO+Iv3kf85fvQxcRD5u0Bx8aVIc9v3GFEY+dmK/1tGXgPlv1DlDC1uD1KFL2mUGo08H5VGh0Th1dvP7H/zJfHB86O3Jt9TGGcNcggwEuA1xrW6bc2WjvwLp5/GcsXJpfgcnFVIGBtK5SrZBsgICTwyqiLoBAFHXygpbmpacau5WMDr+PZvne8Yc1WV0H+pj54cyIIh7pf4j1n0hqab6hmrDqL6m8O4E249RRhf2zlzFvi7ADvP4eCUtrOL3hCBdaWgfdAGXGA94e73yHwxsUn4PU7/WuqvLm84WCvFGrNWrRcArwEeC16gaZhnDUDb1RkIqqVXMGbWePmhfDnyubWGA6ezUIAL4UIOEh6Q0olV0BQ080RrzP88Is6TgvoaMid9G/yjg+5gae73/Lsb762KvI1zoHgOxHY1TyVHd7OeVFnfvp5wZYeSHMAb+SaQ4g9wa924TGiI5QVDLvEw9L9KKR9tgy8/5ZeIKTr0pTd8t5IUfSaQqnRO7xqtQYLVu5gL57QaPQpDUwaA3PxxIh+Hdj0hu+pEeAlwGuN692agffxwxC0a7yZ5/YixT2x55g4t4qZeg0IAbwKajkUkiU8U2N166ClK6Q7hYjnMTg15jY+XNLX6PUu547aM8uAKWV2esxtzlhKQqHn7aaw91Swn//X/RJen0jO4WU+a72nFnwqZzO128wqzxzAG758L+LP3+XNy33Qj7CvXtqs87VGZbYMvPtL/SlKSFrdHyGKXlMoNRp45wZsxdEz1zBucBeULvHl4okHzzF7yRY0r18F/gM7msIuq5FBgJcAr9Us1hSGWjPwvn8bhcbV1vLczuTxrt3RzhrDwbNZCOC1l0yAnNrH0xWvmwE13Tpdvx3oyodW7woeaH+gNq7MeQSm7m5ipBpuhZxQfnBhFGjuy5HHPI98GQM7JznyNPCGe2Fnq4+TOYA35t8LiNrGL++WfVpfyPNzfWz1DhVgArYMvPtKLhTAYxmLbP1geMadLLSH0cDLliUb0xt1qnEPHJCyZBYaYRHM8nRVICpWDZVGJ4J2otIQD1gz8DLzG9h9P86efMWZ6qRZ9dCxm23segkBvErJHNhRG3jLI063GBq6XrrLZkWBf6GJ17/RS9l+edESMnvTv9WTS/ZAJjkOCjHQ0fmh0vVg/7SkZg7gpTVahM3bjMQHL5Om7ti0Cly7NrEkV1isLbYMvHtLLBLF720eDhNFrymUGg28aV088fj5G3QeOJVcPGGKqFi5DAK8lh9AawdenY7G6oAbePIoBEqlDDXq5kXTloUt3/EGWigE8EqpG3CU9OBYoENuxGgPAEgfWv8ucpCts/ttG/CqJaQK0wKvXHIASin3+lIdnQexmkMGes883cwBvF9nonn3GbrYBEg9XSHNlnaJOPPM3Hq02DLw7i4uzp0HbR8NtZ4F8I2lRgNv54HTULZkQbYOb8o2fdEGPHzyCpsDJlqtMzJjOElp4HuNAG9mVpJ5x1g78JrXW+bXJgTwMrOQUVcho46COcCmQy6odR3Zag2ptd3rHuD5g1DYKaTIfleNiKsRnG65amVH6+01TO4ce6k/ZJLDPLlxmrXQ0hVNri+zAs0JvJm18XsfR4DX9CvguwLe63ee4Jcxf7CVGUoX1+fw3n0YiDcfPuOf+aNRrpTt7LIYslQI8BLgNWSdWFofAryWFhGuPUIBr6GznjzwOI7vC0zqroAEXcsUgO51AmgdkLOaJ2r8XirDG9MM1Zeyn71sEGTUWd7QeM0yaOhamREpyBgCvIK41aRCbRl4dxVdbFJfGSqs3ZP/GdrV4voZtMMbFBIOVydHKL/U/QsKDsOGncfw/NV7dkKF8+dE1/aN4e3pbnETFNogArwEeIVeY0LIJ8ArhFdNJ1NM4A0LjkdLv/W8yZSu6I3l+9uYbpJpSFJIF8BOspr3lElpYFIbLKUR4LWUSKRthy0D784i4gBv+6c2DrxVWgzE3/P9UaZ4QYydsQK/De/+3V408e1XiwAvAV7L/7HPt5AAr2VHTUzgff08Al1qb+M5KHcBV2w9b7qr4xMTNJBKJZDJJRxdFMJgLxsMKZV8g5tK1x+JWsvKHSTAa9nfIcY6WwbeHYX5JQbNEZEOz4aYQ40gOgza4a3QtD82/DUBJYrkRcm6PXFm9yJ4epDEeSYiBHgJ8AryzRRYKAFegR2cRfFiAm98rBoNC/N3WKvUy40Fm7J+scftax/xx+8X8OC2vjZvjfp5MWlePWTP4cjxmoR6DAqxbK4xTXtn0aOmH06A1/Q+NbVEWwbebYWWmtpdBsnr+HywQf0ssZNBwNvPfx7UGi3ataiNcTNWYtyQLnB2ckh1Pm2a1rTEeQpmEwFeAryCLS4BBRPgFdC5JhAtJvAy5q+YfRXr/7qVNBOKojB/Q1NUrZ/1lIKODbfi2aNQjpeatC6MWQGNTeA584kgwGs+X2dWky0D79aCAZl1S5bGdQoclKXxYg42CHg/BoViztItuP/kJZi/u7o4ggKVqt0X9ouzzS6WEwnwEuAVa+1lRS8B3qx4T/ixYgMvM8NHtz/jxeNwyBVSlK3qAy8f7g5sZrwQFhKPhn783ePs3o44crNnZkSKNoYAr2iuN1ixLQPvlgLLDPaDKTt2fjHQlOLMKssg4E1pEVOWbPmckSz0kkZSGlJbA6QsmeV/MwjwWnaMLAF4hfBQeFg8GpTmA6+XjxMOX+fWCBZCP1dmAuSSY6CoMOhob2h0TY1SSYDXKHeJ0tmWgXdz/uWi+LTLywGi6DWFUqOB1xRKbUkG2eElO7zWuJ4J8Fp21GwVeBmvd2uxAw9uf+YEoGWHYpiysIHZgsLUIXaQd4GEepOkU0v7IU69yWAbCPAa7CrROtoy8G7Kt0IUv/786hdR9JpCKQHeLHqRAC8B3iwuIVGGE+AVxe0GK7Vl4H36IAR/Tr+IW1c+QC6XomaDvJgwuy6cXOwM9k9WO9pJ10EhnccTE6/5AxqdYdf2EuDNahSEH2/LwLsxjzjA2/UNAV7hV66FaiDAS4DXQpdmumYR4LXsqNky8FqC5xXSubCT8msNJ2rHQKXtbpCJBHgNcpOonWwZeDfkXimKb7u97S+KXlMoJTu8WfQiAV4CvFlcQqIMJ8AritsNVmopwKtSadldWCr1M8oGzyejjkwptHs3gqBR61CwuAe8fZ0yGpKl53bSVVBI/+TJSNDMgVrXwiDZBHgNcpOonWwZeNfl+lsU3/Z414+nV6PRYvqiDZDJpPhtWDfO831HLmDJ6t0ICYtkb+edPrYP8uTUlxnU6WjMX74Ne/47B7Vag4a1KuB3/55QKoR520OAN4tLhgAvAd4sLiFRhhPgFcXtBisVG3ivnH+HRdMv4tG9YEgkFOo1K4ApC+rD0cn0/yO6evYdfu1/FLHRqiT/jJxWEx16lzLYX8Z21AY/gLNrd0idEpOGqj65IcHhCCilYQeyCfAa63Xz97dl4F2b8x/zOxRAz/d9OXpPXbiFmX9tRFhkNH5sVosDvMxtvB0HTMHCKUPYi8uWrd+HW/efYdvyyayMrftOYt32IwiYNRwO9gr4T12OsiULYtSAjoLMjQBvFt1KgJcAbxaXkCjDCfCK4naDlYoNvD9U24D3b6I49rbvVpLNtTV1+1/Hf3H9vP6a+q/N2VWBow97mVpVkrzI3ZcQe/wQXGu+gswtAeoQR4SfLAD33m3hVNsw0CbAK1h4TCbYloF3je8qk/nJGEG9PvRJtfu8ZVuRqFJzgHfp2r14/OwNFs/Q35IYHRuPGi0H49DGOcjlmx09h81G/Vrl0b29vgb3mct3MHXBOpzYvsAYkwzuS4DXYFel3pEALwHeLC4hUYYT4BXF7QYrFRN4376KRKsaG3m2Fijsjl2nuxg8B0M7tiy/ASFBsbzu+653BVOuTIgWtvYEog5c44n26NkALj9UMkglAV6D3CRqJ1sG3tU+/PJ+5nB274+9DQbe0VOXIYeXB2fHtl774Zg6ujdqVSmDOm2HYdqYPqhdtQwr8/W77YsjkgAAIABJREFUIDTvOhY3Dq+EUmn6t0kEeLO4QgjwEuDN4hISZTgBXlHcbrBSMYH33etItKzOB96CRTyw81Rng+dgaMfOdbfh1bNwXvdjj3oLVrkh6uA1hK05wdPp5f8jHKoWNch0ArwGuUnUTrYMvKtyrBHFt30+pf7mJbUd3iETFqFYoTwY0uvHJFub/TwWw/u1R5O6lVClxUAsnj4UlcsVZ58HhYSjfvsROLd3MTzcnE0+PwK8WXQpAV4CvFlcQqIMJ8AritsNViom8DJGtqm1Ca9fRHDs7dizNMbNqG3wHAztuPrPG/h7Pne3tf4PBTFjRSNDRRjdTxeXiI+/bYT6TXDSWGXJPMgxxfAdbAK8Rrvd7ANsGXj/8RYHePsGGQ68zA6vbw5PjOjfISn2zA7vFP/e7K4us8M7c3xf1KhUmn1OdnjN/hUxTiEBXgK8xq0Yy+hNgNcy4pCWFWID762rH7F41iXcuxkEhVKKuk0KYPL8epDbSQVx3J4ND9k8Xo1Gh+JlmNy+8oLo4QilgbgrT6CNjIM0mzMcKhYySicBXqPcJUpnWwbelV7iAG//z4YD75I1e/A08C3+mp6cw1u95SAcWD8beXN5o8ewWWxlhm5fcnhPX7yNKQvW4tTOhYKsF7LDm0W3EuAlwJvFJSTKcAK8orjdYKViA6/Bhn7HHcUGXlqrBSUV5hcQWwmrLQPviuxrRQnTL8E9U9WbWkrDk8C36DJoGpu2UKpYfixbvx9Xbj7E7lXTWBmbdh/Hpt3HEDBrBBzslfCfGoASRfJh3BDD37QY4wQCvMZ4K5W+BHgJ8GZxCYkynACvKG43WCkBXoNdJVpHsYA39r8riDl8BdqQSEhcHeHYoAKc29URzQ+WrNiWgXe5SMA74BvgPXTyCmYs3ICERBVomoa9UoHJo3qgcR394c9dB88iYN1ehIZHoVTR/Jg2tg/y587BPtPqdJi7dAuYWr1MLd96Ncphin9PFn6FaFYNvItX78Z/J6/g0+cwZM/mxm6Ld22XnPfVeeA03H0UyPEbk0vSt0uLDAseh0dGY+Lc1bh0/QEcHZTo3qEJO+7bRoCXAK8QX0yhZRLgFdrDWZNPgDdr/jPHaKGBVy45BJn0FIBY6OgCUGl7IPGZCiGT+afzPUb+BGUFww7bmcM3lqLDloE3QCTgHZTGDq+lxDw9O6waeP9Yvg21q/qhYF5fPHj6CsMnLWG3xquU15/4Y4C3bfNaaFqvcpIPFAo72MllGRY8HjUlAFqtFhNH9MDHoFAMHLcAM8b1Syqf8VUgAV4CvNbwRf/WRgK8lh01AryWHR/GOiGBVy49AKVsHMcJWro4gg+MQeS6wzznOLWqAZeO9S3faWa20JaBd6mnOCkNg0NST2kwc2gzpc6qgffbGXcfOpNNgGZ2Y78Cb5e2DdCyUXWec9IreKxSa1Cl+QBsWTaJLanBtPnLtiE0PBKzfuXeI02AlwBvpr55Ig8iwCtyADJQT4DXsuMjNPDay4dDJjnOc0LouYkIWfSUAK+By8OWgXdxtnUGesG03f4X2sO0As0ozWaANyFBhQY/jcT8yQNRrULJJOB99e4Tm5KQM4cnendqhjrVyrLP0it4/DE4DD90G8cpfrzzwBnsPHgGW5dN4oSHAC8BXjN+X02migCvyVwpiCACvIK41aRChdzhdZD3gVRyhWdv1KvZ+Oh/i/c5SWlIPbS2DLx/eYgDvEPDCPCa9AdJZoRNmP0PPodGYOXcUaAoihXx6NlrODs6gAaNs5fvgkmB2LT0NxQvnDfdgsdBwWFo328y7p9akyTrwLFLWLnpX+xfO5NjXnhM8v3vmbHbFsc428sRn6iBRkfb4vRsYk5uTnaIjFGBRMgywymVUHBUyhAVp7ZMA4lVUMikkEmB2EStyb0hwTRIsJknV4tjiDjwDhEHLkETEgmpmxNcGleEx0+mv/LZ5JMSQaCDQgqtDkhUmz5Gxk7H3cm0N4ctEgl4/9/eeUBHUa1x/L+bbBogvUgVUbGjPJoCIiBIEwSRXqUYpAUIAZQOQgATEDAgXTpSpApYaFKVh6AiHRRBiUBCT9sk78zwsho2kNmd2bmzs/85553zzN77fd/9fXfJj+HubF8Kr6ut13b8hE+W4YfDxzF/ymDkyhF83+DdwifhP8+XRWiHxg984HHGHd4fv54jn/eVLukO78qNO7Bi5ohM8RM88IedtnT0jxYYYEWKPV3+YCAvYxIIDvQD964xeyNVZbVYYLNZkJScZtwifbwyPz8LrFYLUlK071F6+nmkpXZHevpZB2WrtRusfgMd/51uT4VFMm5e9yVg87fKTw6wp4r/XST9mavlNSXvQi3DKY4VFt9B8VijDfTqIw3Sh8qGT5qP8xf/RkxkvwfKrgS+bc+xaFTnJbR+s/YDH3gsneGt1CBUltuyZUrIPZsYsxxX4q5h4tDQTD3kkQbnLV0gdyBu3E5Bsl37XwRGewN5az080mDszvFIg7H7I1XnySMNGav3s/4XFtxBWnpJpKWXMj4Ug1Vo5iMN0XnECG//axRe3be5JLuhg6IREGDD2EFdEBhgk2uwWqwICgrAxUtXsOyLb9GgdhUULphXfnzZlNmrsGnReBQumC/bBx6HDZ8Gi8WKYWHt5e937h4RhZEDOqF2tczfAEThpfDqvvk1SEjh1QCiB0NQeD0IV6PQegivRqX6bBgzC29UbjHCO+A6hVf3N9TNW3dQpdF7TnmlBxpvXBSJazduYdiEeTjy62ncTkjE46WLIzy0JSqUu/uswuweeCw9JHnYhLnYf+hX+UNvbZvVkY9C3HtReCm8um9+DRJSeDWA6MEQFF4PwtUotNGEN+n4edxYvg0pZy4CATYEVyiLvN3fAPysGq3Y+8KYWXgn5V4kpCEDr7cXkleLpF59pEELAGpjUHgpvGr3kIj5FF4R1JXnpPAqZyVqpNGEN7bfdNhj4zPhyFmvEnJ3uPuYTl+8zCy8Ex8SI7wRNyi8vvhektdM4aXweuPmp/Aau2sUXmP3R6rOSMJrvxSH2P6fOEGzlSyEQpHvGh+mhyo0s/BG5hIjvINvUng9tF2NH5bCS+E1/i51rpDCa+yuUXiN3R8jCG/SsfO4tfkAJNm1BPgj5eyfzsJbohAKTaDw3k60C99QRfPf/wlS7hQ3Pudid6apnjPkVjvVMUQF4JEGleQpvBRelVtIyHQKrxDsipNSeBWjEjZQ5B3etNuJ+Kv3VKQn/PMceIvF+dFbOepUQJ7O9V1iZLWch8VyCenIjbS0u5958dbr3ju8FssV6RM8SE8vrPuStBbeD3OIEd4PblN4dd88RklI4aXwGmUvulIHhdcVWvqPpfAqZ3750m2cP3cdQcH+eOaFQsonqhwpUngTDp7A1aiVTivweygYaTfvAFYrgiuWRd7QJrAE3n2CkZIr0DYKNv/PHUNT06ogIWm29PwjJdMNNyZDeBOSzyAw6H1Y/Q7LNaanFUdS0vtItdfQrWathXesIOEdSuHVbc8YLhGFl8JruE2poCAKrwJIAoc8SHi/3XwWc6YexNlTccj1UCAaNH0C/YdVFVituNRzPz6IGRO/dxRQpmw+RM2rj+KP5PZ4USKF986+o4ib+oXTGkOqPYe83RvC8v8vTHIFgvTM3+BA50dOJaVEIMXunV8nmyG8dktv+Pt/lQlHWloJJNze4goiVWO1Ft4xIUtU1ePu5GF32ro7Vfg8HmlQ2QIKL4VX5RYSMp3CKwS74qT3E94b15JQ68V5SEnO/FWpg0ZXR5su5RTHN8PAuMt3UPeFBU5LadbuGbw/wfN37kQKb8r5vxE7aJbT2nO3rY1cjV5yq702vzUIDBjmNDfF3hxJKaPciil6UobwpvtXh8Xyt1M5d25tR3q6Pv8qoLXwjg4WI7zDEyi8ove1sPwUXgqvsM2nIjGFVwU8HabeT3j37jiPHm3XO1XwWsMyiJrl2llNHZbh0RRHfvgLXd50vstZrmIRzF3bzKO5peAihVfKf+PzHbjxxW7HOoP+8wQKhLdwe93+fpsRFBCehfB2hHSX1xsvh/D61YbFeiEL4f0O6en5dFma1sI7MmipLnXfm2RkYhshebVIyju8KilSeCm8KreQkOkUXnXYb91Mxr5d53HndgpKls6DFys+rC7gPbPvJ7y7t/+Onu02OOWqXf9RRM9poGkNRg928ugVtKn7z3nTjHpfrlkSUxc38nj57grv7V2/IOXCVViCbAguVxoBZdzfO2l3kpB65TqsIYHwK6DuGIfFch0hgfVgsdzIxC4haS6ks7zeeGUIbwpGwmZblmkJqanlkXhHv0d7aS28IwQJ7ygKrze+FbSpmcJL4dVmJ+kbhcLrPu/jR6+ge5u1iL+a4AjydrtnMTyypvtBFQrvlct3UPuFeU55+g19GZ16ZP7ac82KMXCgdvVW4vjPlzNVOCSyBt5q/4zHq3ZHeC9Hr8Wdfccy1VZwUHOEVHjc4/UqSWC1HoXNfxmslgtIT88Le2pD2FNfUzLVkGP+/ZSGgKCx8PPbDYslBampLyAlKQzSOV69Lq2Fd1ig/nd4LRZgNIVXry1jvDwUXgqv8XZl9hVReLNndL8RIyO2YfXSo04vb9jVHo88msf9wP+a+aAPra1bcQwzJ/+AP/+4AX9/K95o/iRGRtXSJK8Rg5w7GY8b1xJRqGhOPFw8V6YSY/+6hYUxP+L08TiE5LDhlTqPoGnbp3VZhqvCa78Uj4u9ZzrVFlLpCRQc+JYuNZsliZ//Dtj8V8JijUV6ekHYU5rBbq/jtDwzf/HEUAHCKwEem8QjDWZ5H7m8DgovhdflTWOACRRe95vQtdVaHNj9h1OA2cvfRJVq2twxUvJYstu3kpEjZ4D7C/GCmX3bbsT+Hf+wbt7pWQz8sLohKndVeJNOXMSloQudag98vCiKjPPOpyCIaITVegrBIW86pU5IWIG01Gcz/dzMwvtBQOYjGnr14sPk1nql0jwPz/CqRErhpfCq3EJCplN43cc+sMcWbNlwyinAis2t8PRzBd0P/K+ZSoRXk0QGDrJ89k+YPHKPU4Wz1jaF9ME06UpMsGPpp0dw9mQcgnPYULVWKbxav7Quq3JVeO1/X8PFnjOcagup8iQKDmiqS81mSGKzLUJAYKTTUpKTw5CS3M1nhHfIPWeS9ert+BQKr16sDZeHwkvhNdymVFAQhVcBpPsM+XbLWYR13ZTp1QpVimH+Ku2eDEDhBcZH7MTaJb86dWFoVE280epJ+eehzdfh0L7MX6k7ampt1H/rCfcbrHCmq8Irhb36yUbc2vFzpgyFh7ZCUDl9JF3h0lQN8/P7Hv5+W2GxXJPPyKbYWyI93f0P5t1bjC1gNgICpjjVmJIciuTk3j4jvIMFCW8khVfV+8OrJ1N4KbzeuIEpvOq6tu+7P7Drm3O4fSsFpR/Li3ZdysEW4Kcu6L9mU3iBKSP3YNnsn5yYjo2pgzpNHsOZ43FoXXuF0+vV6zyCqAWef0SbO8IrFZtw8BRSLl6VvwEt6PnSsBXV7rFYyecuIeXCZfmLJwKfKgm/3Dk025NKAslfXhGU+csr0tJL4E6C9BdEbd4ffv7bERTUy6mcpMSPYLdn7ruZjzQM8l+upCWaj5lgb6V5TL0C8kiDStIUXgqvyi0kZDqFVwh2xUkpvMCBXX+gT+uNmZhJZ5bX7GuLPPmCcOT7v9Ct6VonptJxh9lrPX9EwF3hVbwJXBx4fYX0XN5/joBI0lsgogWCntPv7nFgwATY/J3PKScmTYM9VbsPVgYGDoe/bbWDkN3eGEmJ452ImVl4I/zECO/EVAqvi29N8wyn8FJ4vXE3U3iN3TUK793+fLPhDLZ+cQrX4hJQrORDkD609mz5wvJrsX/ewhsVnZ+j2qhFWQyfrJ1c3W+nGEl40xKScLHzR06lBpd/XJZeva6ggPfh77/OKV1i8jjY7U00LcNiiYXFclX+4oj09Ltnuu+9zCy84VYxwvtRGoVX043sTcEovBReb9qvGbVSeI3dNQqvsv58PHovlnx6xDE4f6EQTFnUEGWfLaAsgIpRRhJe6RjDpXDnrxq2FSuAIlHvqlila1MDbDMRYJvmNCkh8TOkplVwLZgGo80svAOszsd5NECWbYiotJbZjjHqAB5pUNkZCi+FV+UWEjKdwisEu+KkFF7FqHDy6FWcP3sNwSH+qFC1OAKDtDkrml0FRhLe1Pib+LPHVKeS/fI/BGv+PEB6OgLLlkDeNjUAqzW7pbn9uvRBteDAzrBaTzpiSF9ekZg00e2YaiaaWXj7CbrDO5l3eNVsSe+eS+Gl8HrjDqbwGrtrFF5j90eqzkjCK9VzJXo1Er4/nglceroF0v8yrhxVn0aBvtoeLciqU35+e2HBdaSnF0VqWjlhzTSz8PYVJLwfU3iF7WfhiSm8FF7hm9CNAii8bkDTcQqFV0fYbqYymvBKy7i5+Xuk/P63/JSGW7t+QVpCSubVWSwotXwQIH1HrA9cZhbePoKEdyqF1wfeOfdZIoWXwuuNu5/Ca+yuUXiN3R8j3uG9l9j5tpOQnmJ3AllyUbj8SDRfuMwsvL2sYr5pbXoav3jCF947Wa6Rwkvh9cbNT+E1dtcovMbujzcIr/Q1xkknL2YCaSteAEWjM38bmfFJu1+hmYW3pyDh/YTC6/6G9PaZFF4KrzfuYQqvsbtG4TV2f7xBeBN//g1Xpm9AavwtGaY1ZzDy92iAkIqe/xY6o3TPzMLbQ5DwzqDwGmV7618HhZfCq/+uU5+RwqueoScjUHg9SVeb2EY8w5vVypLPxcpPaQh4pDBg9Y2zuxkczCy8odal2mxkF6PMTGvj4gzjDOdjyVT2gsJL4VW5hYRMp/AKwa44KYVXMSphA71FeDMApSelIN2eCmuOIGHM9E5sZuF9V5Dwfkrh1XsbGycfhZfCa5zdqLwSCq9yViJGUnhFUHctp7cIb+q127g6YwMSD5+VF2grURB529dGULlHXVuwF442s/B2EyS8sym8XvhO0KhkCi+FV6OtpGsYCq+uuF1ORuF1GZnuE7xFeK/GbMDtnT9n4uNfKA+KTntPd2Z6JzSz8HaxLtEbp5xvblrbTHmjZ63E3KWbMv2sasXnMGvSAPln67buwfR5a3Al7jqee+pRjB3UBSWL3f16cL0vHmlQSZzCS+FVuYWETKfwCsGuOCmFVzEqYQO9RXj/7DMD9th4J05Fp/eEf8HcwvjpkdjMwvuOIOGdl4XwXr4Sj/f7tHO01N/fD8FBgTj920W0DB2FKaN64fmnymDGwnX48ZdTWDFzhB7td8pB4VWJncJL4VW5hYRMp/AKwa44KYVXMSphA71FeP/q9ylS/rzqxKlYTC9IXz1s5svMwttZkPDOz0J4r12/idED33HaSp8sWIvjp85j2od95Ndu3k5A1Td64svFE1C8aEHdtx6FVyVyCi+FV+UWEjKdwisEu+KkFF7FqIQN9BbhjZ+3FTe3/jcTp4BShVFkYhdh7PRKbGbh7ShIeD/LQniXrvkGuaTH3uXNjQa1q+CdVvXlFg8cPQNFCuXDgNCWjpbXbB4my3H1ys/rtQ0ceSi8KpFTeCm8KreQkOkUXiHYFSel8CpGJWygtwgv0tIQN2szEg6dlr95LeDxYsjTuiYCSos5R6lnw8wsvB38FuuJ0pFrYeo/RxekH56/GIvU1DQEBgbgxOnzGBm1AKHtG6N109ro9cHHePKxkujVualjfv22gxDWrTlef7Wi7vVTeFUip/BSeFVuISHTKbxCsCtOSuFVjErYQK8RXmGExCc2s/C2EyS8i+8R3nu7PGvxBuw/9CvmRQ+S7/AWLVIA/bq/nekO76jwd/BKFd7hFf8OcbECCi+F18UtY4jhFF5DtOG+RVB4jd0fqToKr/F7ZGbhbSNIeJdmI7xTZq+S7/pGj+yJ6fO/wMkzf2Dq2H/O8L78xnvYuDASpYrr/y8MvMOr8j1L4aXwqtxCQqZTeIVgV5yUwqsYlbCBFF5h6BUnNrPwtvZbpJiDlgOXpbbPFG7slEWoW6MCyjxSDMdO/Y6IsTMxJqILalcrjxNn/kCb98Zg2tg+ePbJ0pixcD0OHPoVa+aO0bIkxbEovIpRZT2QwkvhVbmFhEyn8ArBrjgphVcxKmEDKbzC0CtObGbhbSVIeJffI7yR05di2+5D8nN2pQ+odWxRDy0b13T0aPWmXYj5bC2uxt/As2VLY8ygLihdoojiHmo5kMKrkiaFl8KrcgsJma5GeGdM+R6b15/EzZvJKPN4PnTrWQGVqxYXsg6zJqXwGr+zFF7j98jMwttCkPB+fo/wGn8X/FMhhVdltyi8FF6VW0jIdHeFd9nCnzDm/R2Zas6dJwg7Dr6DwCB/IWsxY1IKr/G7SuE1fo/MLLxvCxLelRRe4298T1VI4aXwempveTKuu8Lbt/uX+PrL006lzVvRFFWqlvBkyT4Vm8Jr/HZTeI3fIzML71t+C4U0YHVqByF5tUjKO7wqKVJ4Kbwqt5CQ6e4K73udNmDHN+ecap61uAmqvVpKyFrMmJTCa/yuUniN3yMzC28zQcK7hsJr/I3vqQopvBReT+0tT8Z1V3hjJh/A9KgDTqVJRxoKFcnpyZJ9KjaF1/jtpvAav0dmFt43BQnvWgqv8Te+pyqk8FJ4PbW3PBnXXeFNT0+HdKzhm81n5PJyPRSIPgOroG3ncp4s1+diU3iN33IKr/F7ZGbhbez3mZAGrE/tKCSvFkl5pEElRQovhVflFhIy3V3hzSj2+rVE3LmdgoeL5RJSv9mTUniN32EKr/F7ZGbhfUOQ8G6g8Bp/43uqQgovhddTe8uTcdUKrydrY2yAwmv8XUDhNX6PzCy8jQQJ70YKr/E3vqcqpPBSeD21tzwZl8LrSbrqY1N41TP0dAQKr6cJq49vZuFt4LdAPSA3InyZ2smNWcaYwiMNKvtA4aXwqtxCQqZTeIVgV5yUwqsYlbCBFF5h6BUnNrPw1vcXI7yb7RRexRvQbAMpvBReb9zTFF5jd43Ca+z+SNVReI3fIzML7+uChHcrhdf4G99TFVJ4Kbye2luejEvh9SRd9bEpvOoZejoChdfThNXHN7Pw1vWfrx6QGxG+snd2Y5YxpvBIg8o+UHgpvCq3kJDpFF4h2BUnpfAqRiVsIIVXGHrFic0svK8JEt5vKLyK95/pBlJ4KbzeuKkpvMbuGoXX2P2RqqPwGr9HZhbeWv7zhDRgm/0dIXm1SMo7vCopUngpvCq3kJDpFF4h2BUnpfAqRiVsIIVXGHrFic0svK/6z1XMQcuBO+xdtAynaywKr0rcFF4Kr8otJGQ6hVcIdsVJKbyKUQkbSOEVhl5xYjMLb3X/OYo5aDnwO3tXLcPpGovCqxI3hZfCq3ILCZlO4RWCXXFSCq9iVMIGUniFoVec2MzCW9U2WzEHLQfuSemmZThdY1F4VeKm8FJ4VW4hIdMpvEKwK05K4VWMSthACq8w9IoTm1l4X7bNUsxBy4F7U7prGU7XWBRelbgpvBRelVtIyHQKrxDsipNSeBWjEjaQwisMveLEZhbeKoKEdz+FV/H+M91ACi+F1xs3NYXX2F2j8Bq7P1J1FF7j98jMwlvJ9qmQBnyf8q6QvFok5R1elRQpvBRelVtIyHQKrxDsipNSeBWjEjaQwisMveLEZhbeCraZijloOfBgSqiW4XSNReFViZvCS+FVuYWETKfwCsGuOCmFVzEqYQMpvMLQK05sZuEtb5uhmIOWAw+l9NAynK6xKLwqcVN4Kbwqt5CQ6RReIdgVJ6XwKkYlbCCFVxh6xYnNLLwvBMQo5qDlwMPJ72kZTtdYFF6VuCm8FF6VW0jIdAqvEOyKk1J4FaMSNpDCKwy94sRmFt7nAz5RzEHLgT8l99QynK6xKLwqcVN4Kbwqt5CQ6RReIdgVJ6XwKkYlbCCFVxh6xYnNLLzPBkxXzEHLgb8k99IynK6xKLwqcVN4Kbwqt5CQ6RReIdgVJ6XwKkYlbCCFVxh6xYnNLLxPCxLeXym8ivef6QZSeCm83ripKbzG7hqF19j9kaqj8Bq/R2YW3icDpglpwPHk3kLyapHUq+/wTpu3Bpu3HcClv+NQMH8etG9eF+3equPgcvTEOYyMWoBT5y6iWJECGNyrDapXfl5+PS0tHR/NXIEvNn+HlBQ7Xqv+H4wM74SgwAD59fjrNzFs4jzsO3gUOUKC0OHt19G1TUMn5hReCq8Wb0S9Y1B49SbuWj4Kr2u8RIym8Iqg7lpOMwtv2YCprsHQaPSJ5D4aRdI/jFcLb9TMFXilSjmUKVUUR0/+hrDh0xEzvh8ql39KltjX20Sg9Zu10KpJLezYdxhjJi/ElqWTkC9PLixftw2ffb4VMePDEBIciPDRM/HCM2UwILSl3IUBo2KQmpqKYf064q/Yq+gxOBofDu6GV6rcFeaMi8JL4dX/basu45lTcUhPssMS4IcyT+RXF4yzPUKAwusRrJoGpfBqitMjwcwsvI8HfuwRZtkFPZXUN7shhn3dq4X3Xqod+oyT79RKd2N/OHwcfYZNw55102G1WuShLd4dJctvswbV0alvJGpVL48OzevKr+3cfwSjoz/Dt59HIznFjsoNQrFsxnA8+VhJ+fWPZqzA1fjrGP9+5u+RpvBSeA377s6isP7vbcaX6086XqlTvwymzW7kTUvwiVopvMZvM4XX+D0ys/CWCZwipAFnksKE5NUiqWmENzExGbVb9MdHI3rgpf88g8/Xb8fqL3dhxcwRDk4RY2eiSMF86P9uC9Ro1hdjIro47tj+fiEWDdoNwn+3zMJfl+PQqP1g+f8HBd094rBq406s2rQTy2cMz8Sdwkvh1eKNqEeMr748jT7dNzmlmjj1dTRu9qQeJTCHQgIUXoWgBA6j8AqErzC1mYW3dOBkhRS0HXYuqZ+2AXWMZhrh/SByDv6+eg2zJg6AxWLBwpVb8e3uQ/iHOGb+AAAYM0lEQVTs4yEOnCMmzYfN5o+hYe1RuWEPTBvbB5VefEp+PfZKPGo174fv1k5D7OU4NO82Ar9sny/Hkq6NX+/DrCUbsH7BuEztSU5J07Fd3pHK5m+FPTUN6eneUa+vVDklaj/GjtrltNwBES9hyNDqvoLBK9Yp/bHj72dFip1/vhi1YdK/HEr/eGhP5R90Ru2Rn59F/j0kfWZH9BVgs2paQilBwvs7hVfTProcbMIny+QjDPOnDEauHMHyfOkO79otu7E0ZpgjnnSHt3CBvPI5XekO77ghXVG14nPy61nd4f3x6zkIsPnLr0t3eFdu3JHpjrH086s3klyu1+wTcucIwO1Euyy9vIxD4LM5hzHyg+1OBQ0aWg2hvSsap1BWAj+rFTlD/HH9VjJpGJRAoM0PNn8LbiXYDVohy8oR5I/UtHQkJqcKh5H/oUBNaygRGK1pPKXB/kjqr3So4cZ59R1e6UNlwyfNx/mLfyMmsp9DdiXK3/94DGEjpstneDPu0r7dfQRaNq6F5o1qoGPf8fJ5X+nJDtK1Y+9hjIpegO2rpshneCs1CJXltmyZEvLrE2OW40rcNUwcGpqpiTzS4LynC+QOxI3bKUjm3SlDveF/OxuPeq8sdKpp7Vdt8eTTBQxVq68XwyMNxt8BPNJg/B6Z+UhDMUHCe5HCq//Gl2Q3dFA0AgJsGDuoCwIDbHIRVotVPncrSWvdVuGy0LZoXBPf7T+CYZPmYcuSifIjzJas+QZL1nwtP9UhJDgI4aNj8PQTj8iPLpOusOHTYLFYMSysvXzcoXtEFEYO6ITa1cpTeLNpN4VX//eD0owH9l7AquVHEX/lDvLkC0bTt59G1Rp3P5jJyzgEKLzG6cX9KqHwGr9HZhbeh4OihDTgr8QBQvJqkdRr7/DevHUHVRq958SgdIki2LgoUv75kV/PyE9eOP3bRRQtXAAR77VCzaovyq+lpqVh4ifLsG7rHtjtqfLPR4V3kuVXuq7G38CwCXOx/9Cv8nN42zarg9AOjZ3y8Q6v8zak8Grx1vRsDD6H17N81Uan8Kol6Pn5FF7PM1abwczCWzjoI7V43Jofmxju1jwjTPJa4TUCPKkGCi+F1yh70ZU6KLyu0NJ/LIVXf+auZqTwukpM//FmFt5CQZP0Bwrg78SBmfIq/ZIuIcXek5TCq7ILFF4Kr8otJGQ6hVcIdsVJKbyKUQkbSOEVhl5xYjMLb4GgiYo5aDnwSmJEpnBKv6RLyxrcjUXhdZfc/+dReCm8KreQkOkUXiHYFSel8CpGJWwghVcYesWJzSy8+YImKOag5cC4xEGOcK58SZeWNbgbi8LrLjkK733J8Qyvyk2lw3QKrw6QVaSg8KqAp9NUCq9OoFWkMbPw5gm6+1klva9riYMdKc/9cUnxl3TpXWdW+Si8KrvAO7zOACm8KjeVDtMpvDpAVpGCwqsCnk5TKbw6gVaRxszC+1CwGOG9kfCP8B479bviL+lS0UbNplJ4VaKk8FJ4VW4hIdMpvEKwK05K4VWMSthACq8w9IoTm1l4FUPw4MCMO7xKvqTLg2UoDk3hVYwq64EUXgqvyi0kZDqFVwh2xUkpvIpRCRtI4RWGXnFiCq9iVG4NdOVLutxKoPEkCq9KoBReCq/KLSRkOoVXCHbFSSm8ilEJG0jhFYZecWIKr2JUbg9U+iVdbifQcCKFVyVMCi+FV+UWEjKdwisEu+KkFF7FqIQNpPAKQ684MYVXMSq3Byr9ki63E2g4kcKrEiaFl8KrcgsJmU7hFYJdcVIKr2JUwgZSeIWhV5yYwqsYlU8MpPCqbDOFl8KrcgsJmU7hFYJdcVIKr2JUwgZSeIWhV5yYwqsYlU8MpPCqbDOFl8KrcgsJmU7hFYJdcVIKr2JUwgZSeIWhV5yYwqsYlU8MpPCqbDOFl8KrcgsJmU7hFYJdcVIKr2JUwgZSeIWhV5yYwqsYlU8MpPCqbDOFl8KrcgsJmU7hFYJdcVIKr2JUwgZSeIWhV5yYwqsYlU8MpPCqbDOFl8KrcgsJmU7hFYJdcVIKr2JUwgZSeIWhV5yYwqsYlU8MpPD6RJu5SBIgARIgARIgARLwXQIUXt/tPVdOAiRAAiRAAiRAAj5BgMLrE23mIkmABEiABEiABEjAdwlQeH2391w5CZAACZAACZAACfgEAQqvT7SZiyQBEiABEiABEiAB3yVA4fXd3nPlJEACJEACJEACJOATBCi8PtFmzywyetZKzF26KVPwqhWfw6xJA+SfHT1xDiOjFuDUuYsoVqQABvdqg+qVn/dMMYzqIGC3p2Lsx4vg7++HoX3bZyLzoJ6kpaXjo5kr8MXm75CSYsdr1f+DkeGdEBQYQLoaE7hfj5KSU1C+bjenbEtjhqHc02XAHmnciCzCJSYm4/3I2Th89Ayu37iFR0s9jAGhLVGl/NPy6Ox6EH/9JoZNnId9B48iR0gQOrz9Orq2aej5wn0ow6lzFzBu6hKcOnsBKXY7Xnz2cQwNa4/iDxeUKfB3kw9tBheWSuF1ARaHZiYg/aFy+Uo83u/TzvGCJFnBQYGyML3eJgKt36yFVk1qYce+wxgzeSG2LJ2EfHlyEaWHCGzf8yPGTV2MuOs30bR+9UzCm11Plq/bhs8+34qY8WEICQ5E+OiZeOGZMvIve17aEXhQjzKEd/2CcShUII8jaUhIEPysVrBH2vXhfpGu3biFTxeuR5N61VAofx75L4AzF23A9lWTkTNHcLY9GDAqBqmpqRjWryP+ir2KHoOj8eHgbnilCv+yr1X3Dhw6hhNn/8CrL5VDYIANkdOX4Wr8dSyc+r5DePm7SSva5olD4TVPL3VfiSS8167fxOiB7zjl/uHwcfQZNg171k2H1WqRX2/x7ihZfps1qK57rb6WcNKM5ZDk6d93eLPrSae+kahVvTw6NK8r49q5/whGR3+Gbz+P9jV8uqw3qx5lCO+2ldEoXDCfUx3skS6tyZREktdyr3XFylkj8dTjpfCgHiSn2FG5QSiWzRiOJx8rKcf5aMYKWcbGv99d/+J9JKMkwH2GTcWBTTMcwsvfTT7SfBeWSeF1ARaHZiYgCe/SNd8gV85g5M+bGw1qV8E7rerLgz5fvx2rv9yFFTNHOCZFjJ2JIgXzof+7LYjSwwSykqnselKjWV+MiejiuBP1+4VYNGg3CP/dMgtBQTzWoHXLHiS8+fM+hJDgIJQtUwJ9uryFMo8UldOzR1p3Ift4Px07g879JmDn6o/lO7wP6sFfl+PQqP3gTO+ZVRt3YtWmnVg+Y3j2yTjCLQLS0brtew9j8fQPHMLL301uoTT1JAqvqdvr2cWdvxiL1NQ0BAYG4MTp8/J53dD2jdG6aW0sXLkV3+4+hM8+HuIoYsSk+bDZ/OWzVrw8SyArmcquJ5Ub9sC0sX1Q6cWn5OJir8SjVvN++G7tNB5D8UC7suqRdD5UEqzCBfLi1p0ELF71NfYc/AUbF46Xz1KzRx5oxANC3r6TiHa9xqJ+rcro3u4NeeSDehB7OQ7Nu43AL9vnw2K5+y9bG7/eh1lLNkA6psJLewLSed72vcdh+od9UaFcWTkBfzdpz9kMESm8ZuiiQdYwa/EG7D/0K+ZFD5Lv8K7dshvSh20yLukOr/SLnGdCPd+w+93hfVBPpDtX44Z0hfTBQ+niHV7P9imrHt2bMTUtDRXrvYvZHw3Ef55/Qr67yB55ti8Z0SXZlc7flipeWD62lSGwD+pBxh3eH7+egwCbvxxKusO7cuOOTP/apc8KzJ/l3Pm/8E7/CejbtTnerFftvgvm7ybz7wUlK6TwKqHEMYoITJm9Sv6bdfTInvj+x2MIGzFdPsOb8Yvi7e4j0LJxLTRvVENRPA5yn0BWMpVdTzr2HS8/maH9/8/w7th7GKOiF2D7qinuF8KZ9yWgRHilJwZUatgDX8wdIx9rYI/02VBX428gdFCU/On/Ib3bOv4Mk7I/qAfSGd5KDUJluZWOo0jXxJjluBJ3DROHhupTvI9kOfLrGfQdNg0RPVujQa3KD1w1fzf5yKbIZpkUXu4DtwmMnbIIdWtUQJlHiuHYqd8h3cGVzoDWrlYe0h/8dVuFy/LUonFNfLf/CIZNmoctSyaiYP5/Pn3udnJOfCCBrGQqu54sWfMNlqz5GjHj+8nnR8NHx+DpJx6RHyfHS3sCWfVo255D+PPSVVSr9Jz86fOpc1fLj/X7/NOR8oc/2SPt+3BvxD9jr6JzWCSavF4VnVrWc7zs7+8v37XNrgdhw6fBYrFiWFh7+VhQ94gojBzQSf5zkZc2BHZ//zOGjJ+N0eGdUbn83SNY0iW9Z/z8/MDfTdpwNlsUCq/ZOqrjeiKnL8W23YdwJe46ihTKh44t6qFl45qOCqS/gUuf8j/920UULVwAEe+1Qs2qL+pYoe+l+nLbAXw4ZRESk5KRnp4uPyJuxICOqFujogzjQT2R/vl84ifLsG7rHkjPiZV6NSq8kyy/vLQj8KAeSf2ZFLNcfs9Il3QmUXrsX9HC+eX/Zo+068P9IkmfPegzdKrTy9Jf3Ef075htD6S7w8MmzJWPd0nP4W3brA5COzT2fOE+lEH63bNo1VdOK540vId8t5e/m3xoM7iwVAqvC7A4lARIgARIgARIgARIwPsIUHi9r2esmARIgARIgARIgARIwAUCFF4XYHEoCZAACZAACZAACZCA9xGg8Hpfz1gxCZAACZAACZAACZCACwQovC7A4lASIAESIAESIAESIAHvI0Dh9b6esWISIAESIAESIAESIAEXCFB4XYDFoSRAAiRAAiRAAiRAAt5HgMLrfT1jxSRAAiRAAiRAAiRAAi4QoPC6AItDSYAESIAESIAESIAEvI8Ahdf7esaKSYAESIAESIAESIAEXCBA4XUBFoeSAAmQAAmQAAmQAAl4HwEKr/f1jBWTAAmQAAmQAAmQAAm4QIDC6wIsDiUBEiABEiABEiABEvA+AhRe7+sZKyYBEiABEiABEiABEnCBAIXXBVgcSgIkQAIkQAIkQAIk4H0EKLze1zNWTAIkQAIkQAIkQAIk4AIBCq8LsDiUBEiABEiABEiABEjA+whQeL2vZ6yYBEiABEiABEiABEjABQIUXhdgcSgJkAAJeBOBoyfOocW7o7B73TTkzZ3Lm0pnrSRAAiSgKQEKr6Y4GYwESIAEjEOAwmucXrASEiABsQQovGL5MzsJkICbBLr0n4iiRfIjMDAAX367H3Z7Khq/XhVDerWBn58fDv18Eu17j8OCKYPxyfy1+PHoKXRt0xC932mGk2cvYNKM5fKYHMFBqFbpOUT0bI08D+XEmi+/w7ipi7FzzcfIERLkqK7P0Kly3MmjeiqqOC0tHXOWbsSqjTtxJe46ShQthDfqvizXIF0//nIKk2KW49ip35ErZwga162KsG7N4e/vJ7/eovtI1Hj5BfTs9KYjX+8PpqJA/twY0b+j/LPna72DIX3a4r8/ncSOvYeR+6Ec6NGxCZo3rIH46zdRrUnvTLVWKf805kZHKKqfg0iABEjATAQovGbqJtdCAj5EQBLegz+dwNuNXsVLFZ7B7xdiMW3uaoT3aIW2zV5zCG/hAnnRscXrKF60EArlz4OC+fOgaZdh8s8a1X4JdxISMTFmOYKDAjHtwz5ITExGjbf6Ijy0Jd5+41WZqCSstd7uj1mTBkCSRiXXhOlLsfGbfbJIP/ZIMRw9+RvWbt6NxdM/QOyVeDRoN0gW02YNXsGfl65gzJRFqF+rEgb2aOWS8ErC37llPTz31KPYvudHWbA3LY5E8YcLYu/BX9B9YBTWLxgny3CAzR8P5cqhpHyOIQESIAFTEaDwmqqdXAwJ+A4BSXifKFMCg3q2dix6zOSF+OnYGaycNcohvNtWRqNwwXyOMVEzV8hyPHVsH8fPTp75A826DsfBLZ8iKDAAUpyfj5/D55+OkMfMWrwBa7fsxqZFkbBYLNlCvn7jNqo37YPxQ7qh4WtVHOOlu75WqwVSDXt++AVr5o5xvPb1roMYOGYm9q6fjpDgIMV3eKNGvoc6r1SQ46Sk2FGpQSg+HNwVDWpXAY80ZNsqDiABEvARAhReH2k0l0kCZiMgCe+Tj5d03BGV1rdq005Ezfwc+zZ84hDeHzbPlAUy43qn/wQcOHQsSxxfLp6AUsULy8cMmncbgdVzRqNsmRKo1zYCrZvURqeW9RRhPHjkBDr2HY97ZTtjcuggScLzYlR4Z0c86a5vreb9sGr2KDz1eCnFwivdla7x0guOOK++FSYfa2jZuCaFV1G3OIgESMAXCFB4faHLXCMJmJBAVsK7fN02TJm1Evs3zbiv8HYKi0SpYoUxauA/spkVHunpBs8/9ShqVSuPnkMmY/vqKfIZXyXXD0eOo1PfSGxbNRnSkYp7ryyF93KcfGzi38L7ykvl0KtzU8f0rM7w3iu8kjS/26ExhVdJoziGBEjAZwhQeH2m1VwoCZiLQFbCKx0JiL92E3OiBt5XeCOnL8X2vT/K51oDA2wOKKlpafCzWh3/vXLDDvnoQfnnnpDPvUZ+0F0xwLj4G/I54AlDQ9GgVmXHvIwjDR/NWIE9B3/BF/860vDVzh/kIw3S3WnpjrS0Pulu8/D/f0BNCvJuRBSKFimQ6UNrDxLe079dRJNOH9xXvBUviANJgARIwMsJUHi9vIEsnwR8lYAkhHcSkhDasTFy58yBXQeOYM6STVg47X288Mxj9xXeC39exlvdhuO5Jx9FlzYN5OfTHj99HotWfSUfYci4pA+z1WgWJn+oTfqg2YvPPu4S6qET5mLX/iMY1LMNnihTHKfOXsAXm7/D7I8GIvZyHBq0G4y3Gr6CtxrWwF+xVzF68kK8/mpFx5nkaXPXYMmarzG4d1v5KQ6rN+3Czn2H0aJxTcXCm5CYhGpv9karJrXQpG5V3E5IdHkdLi2ag0mABEjAoAQovAZtDMsiARJ4MAFJeG/eTkBycgp+v3AJDxfOj0G92qBGlXLyxIzHkt17hld67dS5C/h4zmpIZ22lD3qVLFZIPgcrPRbs31f46Bk4fe4i1s4f63I7pMekzVm2Ceu37kHs5Xi5vqb1qqHL/x9LJuWWzhsfO333sWRv1HkZ/bo1h83mL+e6fScRwyfNw3cHfkLOkGC0fasO/nvkBAoXyqdYeKU4G77ei8mzViH+2g3Ur10F4wZ3dXktnEACJEAC3k6AwuvtHWT9JOCjBLI60qAlitTUVNRpGY5ubRuhddPaWoZmLBIgARIgAZ0JUHh1Bs50JEAC2hDwtPBu2f49pGMJO1ZPQc4cwY6ipbu+x0/9/sBFfDK+n3z+lhcJkAAJkIAxCFB4jdEHVkECJOAiAU8Lb4c+41C6xMPZPs3BxbI5nARIgARIQAABCq8A6ExJAiRAAiRAAiRAAiSgHwEKr36smYkESIAESIAESIAESEAAAQqvAOhMSQIkQAIkQAIkQAIkoB8BCq9+rJmJBEiABEiABEiABEhAAAEKrwDoTEkCJEACJEACJEACJKAfAQqvfqyZiQRIgARIgARIgARIQAABCq8A6ExJAiRAAiRAAiRAAiSgHwEKr36smYkESIAESIAESIAESEAAAQqvAOhMSQIkQAIkQAIkQAIkoB8BCq9+rJmJBEiABEiABEiABEhAAAEKrwDoTEkCJEACJEACJEACJKAfAQqvfqyZiQRIgARIgARIgARIQAABCq8A6ExJAiRAAiRAAiRAAiSgHwEKr36smYkESIAESIAESIAESEAAAQqvAOhMSQIkQAIkQAIkQAIkoB8BCq9+rJmJBEiABEiABEiABEhAAAEKrwDoTEkCJEACJEACJEACJKAfAQqvfqyZiQRIgARIgARIgARIQAABCq8A6ExJAiRAAiRAAiRAAiSgHwEKr36smYkESIAESIAESIAESEAAAQqvAOhMSQIkQAIkQAIkQAIkoB8BCq9+rJmJBEiABEiABEiABEhAAAEKrwDoTEkCJEACJEACJEACJKAfAQqvfqyZiQRIgARIgARIgARIQAABCq8A6ExJAiRAAiRAAiRAAiSgHwEKr36smYkESIAESIAESIAESEAAAQqvAOhMSQIkQAIkQAIkQAIkoB8BCq9+rJmJBEiABEiABEiABEhAAAEKrwDoTEkCJEACJEACJEACJKAfAQqvfqyZiQRIgARIgARIgARIQAABCq8A6ExJAiRAAiRAAiRAAiSgHwEKr36smYkESIAESIAESIAESEAAAQqvAOhMSQIkQAIkQAIkQAIkoB8BCq9+rJmJBEiABEiABEiABEhAAIH/AQfFDmrHSgyAAAAAAElFTkSuQmCC"
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "fig = px.scatter(data,\n",
+    "                 x='prey_count',\n",
+    "                 y='food_at_sites',\n",
+    "                 color='timestep')\n",
+    "fig.show('png')"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "#### Food inside agents stomachs\n",
+    "\n",
+    "On average, the prey stomachs are always quite full, while the predators stomachs contents vary more."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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"
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "fig = px.scatter(data,\n",
+    "                 x='median_predator_food',\n",
+    "                 y='median_prey_food',\n",
+    "                 color='timestep')\n",
+    "fig.show('png')"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Brute force plotting\n",
+    "\n",
+    "There are a lot of patterns to explore and extract knowlodge. On the following plot, you can see all pairwise variable comparisons. Can you notice anything interesting worth investigating further?"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 11,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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+      "text/plain": [
+       "<Figure size 1980x1980 with 132 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "import seaborn as sns\n",
+    "import matplotlib.pyplot as plt\n",
+    "\n",
+    "sns.pairplot(data=data, \n",
+    "             diag_kind='hist', \n",
+    "             markers='+')\n",
+    "plt.show('png')"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Conclusions and final words\n",
+    "\n",
+    "We explored here two different paradigms for modelling: the dynamic system one, which captures an macroscopical view of the system, and the agent-based one, which can give us an microscopic view of the system. Depending on the targets and considerations, both can be equivalent or completely distinct, but can also be complementary. cadCAD allows you to mix them at will, so you can have hybrid models where agent behaviour and environment are shaped by complex dynamical systems. There is an whole multiverse of mixed simulations that you can do (challenges on next block for you to try!).\n",
+    "\n",
+    "Obviously, both paradigms have some characteristics, which in general manner we can express as being:\n",
+    "\n",
+    "#### Dynamical system (macroscopic view) advantages\n",
+    "\n",
+    "* Fast-performing, allowing a very large number of timesteps and simulations\n",
+    "* Easier to prototype and to add/modify mechanisms\n",
+    "* Easier to insert a multitude of complex factors\n",
+    "* The output is usually easy to visualize\n",
+    "* Inner workings are more transparent\n",
+    "\n",
+    "#### Agent-based modelling (microscopic view) advantages\n",
+    "\n",
+    "* Are conceptually closer to experience, making it easier to explain to someone with no previous background\n",
+    "<!---* There is more allowance on stochastic mechanisms and logic--->\n",
+    "* Easier to generate complex behaviour with simple rules\n",
+    "* Generates more granular and detailed information\n",
+    "* Inner workings have more depth\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Proposed challenges\n",
+    "\n",
+    "#### Find the equivalent models\n",
+    "\n",
+    "Use cadCAD's support for Monte Carlo simulations and parameter sweeping to find a set of parameters that, in expectation, results in nearly equivalent results for the populations of preys and predators over time in both models. You'll need to run multiple Monte Carlo runs of the ABM model and aggregate the results.\n",
+    "\n",
+    "#### Sazonability of food growth\n",
+    "\n",
+    "A quick way to mix the ABM and SD paradigms is the following: what if the food growth depends on an dynamical system? \n",
+    "\n",
+    "You can model that by modifying the food growth policy, such as by inserting a sazonability which depends on the timestep for example. Or you could go even further and try to express it as depending on an irradiance-based dynamical system which models the Sun position according to Earth's movements (rotation, translation, recession and nutation). How much do you think that those layers of additional complexity will add to the knowledge behind the physical system which we are modelling?\n",
+    "\n",
+    "#### Stochasticity of the agents decisions\n",
+    "\n",
+    "In the current model, all randomness is derived from the agents' position on the grid relative to other agents. What if there was also some probability $p_i$ associated with each one of the actions (moving, eating, reproducing)? And what if the decision also depended on the state of the system near the agent, such as the presence of a predator and food availability?\n",
+    "\n",
+    "#### Agent death by exponential probability\n",
+    "\n",
+    "All agents die when the maximum lifespan arrives. Can you modify the ABM for having an associated spontaneous death probability according to exponential distribution? Something which makes almost all young agents live, but most old ones to die? What if this probability is also a function of an indicator of the agent's health, such as the amount of food in their stomach?\n",
+    "\n",
+    "#### Prey evolution & adaptation\n",
+    "\n",
+    "This is the master challenge :-)  What if the preys had a varying attribute which gave them some competitive advantage over others? For example, a number of lifes, like in a videogame, or speed, reproduction rate, or different lifespans? What if those attributes were passed on their offspring with some mutation probability? Could we see an initial random population of preys evolve into a stronger set?"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "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": "3.7.6"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 4
+}
diff --git a/demos/prey-predator/prey_predator_abm/__init__.py b/demos/prey-predator/prey_predator_abm/__init__.py
new file mode 100644
index 0000000..e69de29
diff --git a/demos/prey-predator/prey_predator_abm/config.py b/demos/prey-predator/prey_predator_abm/config.py
new file mode 100644
index 0000000..4e328b9
--- /dev/null
+++ b/demos/prey-predator/prey_predator_abm/config.py
@@ -0,0 +1,30 @@
+"""
+Simulation configuration object.
+"""
+
+
+MONTE_CARLO_RUNS = 1 # N monte carlo runs
+
+from cadCAD.configuration import Experiment
+from cadCAD.configuration.utils import config_sim
+from .model.state_variables import genesis_states
+from .model.partial_state_update_block import partial_state_update_block
+from .model.sys_params import sys_params as sys_params
+from .sim_params import SIMULATION_TIME_STEPS
+
+
+sim_config = config_sim (
+    {
+        'N': MONTE_CARLO_RUNS,
+        'T': range(SIMULATION_TIME_STEPS), # number of timesteps
+        'M': sys_params,
+    }
+)
+
+exp = Experiment()
+
+exp.append_configs(
+    sim_configs=sim_config,
+    initial_state=genesis_states,
+    partial_state_update_blocks=partial_state_update_block
+)
diff --git a/demos/prey-predator/prey_predator_abm/model/__init__.py b/demos/prey-predator/prey_predator_abm/model/__init__.py
new file mode 100644
index 0000000..e69de29
diff --git a/demos/prey-predator/prey_predator_abm/model/partial_state_update_block.py b/demos/prey-predator/prey_predator_abm/model/partial_state_update_block.py
new file mode 100644
index 0000000..b2e5aa7
--- /dev/null
+++ b/demos/prey-predator/prey_predator_abm/model/partial_state_update_block.py
@@ -0,0 +1,76 @@
+"""
+Model logic structure.
+"""
+
+
+from .parts.environment.food_regeneration import *
+from .parts.agents.feeding import *
+from .parts.agents.reproduction import *
+from .parts.agents.movement import *
+from .parts.agents.ageing import *
+from .parts.agents.natural_death import *
+
+
+partial_state_update_block = [
+    {
+        'policies': {
+            'grow_food': p_grow_food
+        },
+        'variables': {
+            'sites': s_update_food
+        }
+    },
+    {
+        'policies': {
+            'increase_agent_age': p_digest_and_olden
+        },
+        'variables': {
+            'agents': s_agent_food_age
+
+        }
+    },
+    {
+        'policies': {
+            'move_agent': p_move_agents
+        },
+        'variables': {
+            'agents': s_agent_location
+
+        }
+    },
+    {
+        'policies': {
+            'reproduce_agents': p_reproduce_agents
+
+        },
+        'variables': {
+            'agents': s_agent_create,
+
+        }
+    },
+    {
+        'policies': {
+            'feed_prey': p_feed_prey
+        },
+        'variables': {
+            'agents': s_agent_food,
+            'sites': s_site_food
+        }
+    },
+    {
+        'policies': {
+            'hunt_prey': p_hunt_prey
+        },
+        'variables': {
+            'agents': s_agent_food
+        }
+    },
+    {
+        'policies': {
+            'natural_death': p_natural_death
+        },
+        'variables': {
+            'agents': s_agent_remove
+        }
+    }
+]
diff --git a/demos/prey-predator/prey_predator_abm/model/parts/__init__.py b/demos/prey-predator/prey_predator_abm/model/parts/__init__.py
new file mode 100644
index 0000000..e69de29
diff --git a/demos/prey-predator/prey_predator_abm/model/parts/agents/__init__.py b/demos/prey-predator/prey_predator_abm/model/parts/agents/__init__.py
new file mode 100644
index 0000000..e69de29
diff --git a/demos/prey-predator/prey_predator_abm/model/parts/agents/ageing.py b/demos/prey-predator/prey_predator_abm/model/parts/agents/ageing.py
new file mode 100644
index 0000000..939d090
--- /dev/null
+++ b/demos/prey-predator/prey_predator_abm/model/parts/agents/ageing.py
@@ -0,0 +1,18 @@
+def p_digest_and_olden(params, substep, state_history, prev_state):
+  agents = prev_state['agents']
+  delta_food = {agent: -1 for agent in agents.keys()}
+  delta_age = {agent: +1 for agent in agents.keys()}
+  return {'agent_delta_food': delta_food,
+          'agent_delta_age': delta_age}
+
+
+def s_agent_food_age(params, substep, state_history, prev_state, policy_input):
+    delta_food_by_agent = policy_input['agent_delta_food']
+    delta_age_by_agent = policy_input['agent_delta_age']
+    updated_agents = prev_state['agents'].copy()
+
+    for agent, delta_food in delta_food_by_agent.items():
+        updated_agents[agent]['food'] += delta_food
+    for agent, delta_age in delta_age_by_agent.items():
+        updated_agents[agent]['age'] += delta_age
+    return ('agents', updated_agents)
diff --git a/demos/prey-predator/prey_predator_abm/model/parts/agents/feeding.py b/demos/prey-predator/prey_predator_abm/model/parts/agents/feeding.py
new file mode 100644
index 0000000..547e93a
--- /dev/null
+++ b/demos/prey-predator/prey_predator_abm/model/parts/agents/feeding.py
@@ -0,0 +1,64 @@
+from ..location import nearby_agents
+import random
+
+def p_feed_prey(params, substep, state_history, prev_state):
+    """
+    Feeds the hungry prey with all food located on its site.
+    """
+    agents = prev_state['agents']
+    sites = prev_state['sites']
+    preys = {k: v for k, v in agents.items() if v['type'] == 'prey'}
+    hungry_preys = {label: properties for label, properties in preys.items()
+                    if properties['food'] < params['hunger_threshold']}
+
+    agent_delta_food = {}
+    site_delta_food = {}
+    for label, properties in hungry_preys.items():
+        location = properties['location']
+        available_food = sites[location]
+        agent_delta_food[label] = available_food
+        site_delta_food[location] = -available_food
+
+    return {'agent_delta_food': agent_delta_food,
+            'site_delta_food': site_delta_food}
+
+
+def s_agent_food(params, substep, state_history, prev_state, policy_input):
+    updated_agents = prev_state['agents'].copy()
+    for label, delta_food in policy_input['agent_delta_food'].items():
+        updated_agents[label]['food'] += delta_food
+    return ('agents', updated_agents)
+
+
+def s_site_food(params, substep, state_history, prev_state, policy_input):
+    updated_sites = prev_state['sites'].copy()
+    for label, delta_food in policy_input['site_delta_food'].items():
+        updated_sites[label] += delta_food
+    return ('sites', updated_sites)
+
+def p_hunt_prey(params, substep, state_history, prev_state):
+    """
+    Feeds the hungry predators with an random nearby prey.
+    """
+    agents = prev_state['agents']
+    sites = prev_state['sites']
+    hungry_threshold = params['hunger_threshold']
+    preys = {k: v for k, v in agents.items()
+             if v['type'] == 'prey'}
+    predators = {k: v for k, v in agents.items()
+                 if v['type'] == 'predator'}
+    hungry_predators = {k: v for k, v in predators.items()
+                        if v['food'] < hungry_threshold}
+    agent_delta_food = {}
+    for predator_label, predator_properties in hungry_predators.items():
+        location = predator_properties['location']
+        nearby_preys = nearby_agents(location, preys)
+        if len(nearby_preys) > 0:
+            eaten_prey_label = random.choice(list(nearby_preys.keys()))
+            delta_food = preys.pop(eaten_prey_label)['food']
+            agent_delta_food[predator_label] = delta_food
+            agent_delta_food[eaten_prey_label] = -1 * delta_food
+        else:
+            continue
+
+    return {'agent_delta_food': agent_delta_food}
diff --git a/demos/prey-predator/prey_predator_abm/model/parts/agents/movement.py b/demos/prey-predator/prey_predator_abm/model/parts/agents/movement.py
new file mode 100644
index 0000000..8c80e2b
--- /dev/null
+++ b/demos/prey-predator/prey_predator_abm/model/parts/agents/movement.py
@@ -0,0 +1,26 @@
+from ..location import get_free_location
+
+
+def p_move_agents(params, substep, state_history, prev_state):
+    """
+    Move agents.
+    """
+    sites = prev_state['sites']
+    agents = prev_state['agents']
+    busy_locations = [agent['location'] for agent in agents.values()]
+    new_locations = {}
+    for label, properties in agents.items():
+        new_location = get_free_location(properties['location'], sites, busy_locations)
+        if new_location is not False:
+            new_locations[label] = new_location
+            busy_locations.append(new_location)
+        else:
+            continue
+    return {'update_agent_location': new_locations}
+
+
+def s_agent_location(params, substep, state_history, prev_state, policy_input):
+    updated_agents = prev_state['agents'].copy()
+    for label, location in policy_input['update_agent_location'].items():
+        updated_agents[label]['location'] = location
+    return ('agents', updated_agents)
diff --git a/demos/prey-predator/prey_predator_abm/model/parts/agents/natural_death.py b/demos/prey-predator/prey_predator_abm/model/parts/agents/natural_death.py
new file mode 100644
index 0000000..3b00e52
--- /dev/null
+++ b/demos/prey-predator/prey_predator_abm/model/parts/agents/natural_death.py
@@ -0,0 +1,21 @@
+
+def p_natural_death(params, substep, state_history, prev_state):
+    """
+    Remove agents which are old or hungry enough.
+    """
+    agents = prev_state['agents']
+    maximum_age = params['agent_lifespan']
+    agents_to_remove = []
+    for agent_label, agent_properties in agents.items():
+        to_remove = agent_properties['age'] > maximum_age
+        to_remove |= (agent_properties['food'] <= 0)
+        if to_remove:
+          agents_to_remove.append(agent_label)
+    return {'remove_agents': agents_to_remove}
+
+
+def s_agent_remove(params, substep, state_history, prev_state, policy_input):
+    agents_to_remove = policy_input['remove_agents']
+    surviving_agents = {k: v for k, v in prev_state['agents'].items()
+                        if k not in agents_to_remove}
+    return ('agents', surviving_agents)
diff --git a/demos/prey-predator/prey_predator_abm/model/parts/agents/reproduction.py b/demos/prey-predator/prey_predator_abm/model/parts/agents/reproduction.py
new file mode 100644
index 0000000..d82df5c
--- /dev/null
+++ b/demos/prey-predator/prey_predator_abm/model/parts/agents/reproduction.py
@@ -0,0 +1,57 @@
+import random
+from uuid import uuid4
+from ..location import nearby_agents, get_free_location
+
+def p_reproduce_agents(params, substep, state_history, prev_state):
+  """
+  Generates an new agent through an nearby agent pair, subject to rules.
+  Not done.
+  """
+  agents = prev_state['agents']
+  sites = prev_state['sites']
+  food_threshold = params['reproduction_food_threshold']
+  reproduction_food = params['reproduction_food']
+  reproduction_probability = params['reproduction_probability']
+  busy_locations = [agent['location'] for agent in agents.values()]
+  already_reproduced = []
+  new_agents = {}
+  agent_delta_food = {}
+  for agent_type in set(agent['type'] for agent in agents.values()):
+      # Only reproduce agents of the same type
+    specific_agents = {label: agent for label, agent in agents.items()
+                       if agent['type'] == agent_type}
+    for agent_label, agent_properties in specific_agents.items():
+        location = agent_properties['location']
+        if (agent_properties['food'] < food_threshold or agent_label in already_reproduced):
+            continue
+        kind_neighbors = nearby_agents(location, specific_agents)
+        available_partners = [label for label, agent in kind_neighbors.items()
+                              if agent['food'] >= food_threshold
+                              and label not in already_reproduced]
+
+        reproduction_location = get_free_location(location, sites, busy_locations)
+
+        if reproduction_location is not False and len(available_partners) > 0:
+            reproduction_partner_label = random.choice(available_partners)
+            reproduction_partner = agents[reproduction_partner_label]
+            already_reproduced += [agent_label, reproduction_partner_label]
+
+            agent_delta_food[agent_label] = -1.0 * reproduction_food
+            agent_delta_food[reproduction_partner_label] = -1.0 * reproduction_food
+            new_agent_properties = {'type': agent_type,
+                                    'location': reproduction_location,
+                                    'food': 2.0 * reproduction_food,
+                                    'age': 0}
+            new_agents[uuid4()] = new_agent_properties
+            busy_locations.append(reproduction_location)
+
+  return {'agent_delta_food': agent_delta_food,
+          'agent_create': new_agents}
+
+def s_agent_create(params, substep, state_history, prev_state, policy_input):
+    updated_agents = prev_state['agents'].copy()
+    for label, food in policy_input['agent_delta_food'].items():
+        updated_agents[label]['food'] += food
+    for label, properties in policy_input['agent_create'].items():
+        updated_agents[label] = properties
+    return ('agents', updated_agents)
diff --git a/demos/prey-predator/prey_predator_abm/model/parts/environment/__init__.py b/demos/prey-predator/prey_predator_abm/model/parts/environment/__init__.py
new file mode 100644
index 0000000..e69de29
diff --git a/demos/prey-predator/prey_predator_abm/model/parts/environment/food_regeneration.py b/demos/prey-predator/prey_predator_abm/model/parts/environment/food_regeneration.py
new file mode 100644
index 0000000..ce63f22
--- /dev/null
+++ b/demos/prey-predator/prey_predator_abm/model/parts/environment/food_regeneration.py
@@ -0,0 +1,24 @@
+import numpy as np
+
+@np.vectorize
+def calculate_increment(value, growth_rate, max_value):
+    new_value = (value + growth_rate
+                 if value + growth_rate < max_value
+                 else max_value)
+    return new_value
+
+
+def p_grow_food(params, substep, state_history, prev_state):
+  """
+  Increases the food supply in all sites, subject to an maximum.
+  """
+  regenerated_sites = calculate_increment(prev_state['sites'],
+                                          params['food_growth_rate'],
+                                          params['maximum_food_per_site'])
+  return {'update_food': regenerated_sites}
+
+
+def s_update_food(params, substep, state_history, prev_state, policy_input):
+    key = 'sites'
+    value = policy_input['update_food']
+    return (key, value)
diff --git a/demos/prey-predator/prey_predator_abm/model/parts/location.py b/demos/prey-predator/prey_predator_abm/model/parts/location.py
new file mode 100644
index 0000000..5bda8ba
--- /dev/null
+++ b/demos/prey-predator/prey_predator_abm/model/parts/location.py
@@ -0,0 +1,58 @@
+"""
+Helper functions associated with location
+"""
+
+
+import numpy as np
+import random
+from typing import *
+
+
+def check_location(position: tuple,
+                   all_sites: np.matrix,
+                   busy_locations: List[tuple]) -> List[tuple]:
+    """
+    Returns an list of available location tuples neighboring an given
+    position location.
+    """
+    N, M = all_sites.shape
+    potential_sites = [(position[0], position[1] + 1),
+                       (position[0], position[1] - 1),
+                       (position[0] + 1, position[1]),
+                       (position[0] - 1, position[1])]
+    potential_sites = [(site[0] % N, site[1] % M) for site in potential_sites]
+    valid_sites = [site for site in potential_sites if site not in busy_locations]
+    return valid_sites
+
+
+def get_free_location(position: tuple,
+                      all_sites: np.matrix,
+                      used_sites: List[tuple]) -> tuple:
+    """
+    Gets an random free location neighboring an position. Returns False if
+    there aren't any location available.
+    """
+    available_locations = check_location(position, all_sites, used_sites)
+    if len(available_locations) > 0:
+        return random.choice(available_locations)
+    else:
+        return False
+
+
+def nearby_agents(location: tuple, agents: Dict[str, dict]) -> Dict[str, dict]:
+    """
+    Filter the non-nearby agents.
+    """
+    neighbors = {label: agent for label, agent in agents.items()
+                 if is_neighbor(agent['location'], location)}
+    return neighbors
+
+
+def is_neighbor(location_1: tuple, location_2: tuple) -> bool:
+    dx = np.abs(location_1[0] - location_2[0])
+    dy = (location_1[1] - location_2[0])
+    distance = dx + dy
+    if distance == 1:
+        return True
+    else:
+        return False
diff --git a/demos/prey-predator/prey_predator_abm/model/state_variables.py b/demos/prey-predator/prey_predator_abm/model/state_variables.py
new file mode 100644
index 0000000..9c81437
--- /dev/null
+++ b/demos/prey-predator/prey_predator_abm/model/state_variables.py
@@ -0,0 +1,59 @@
+"""
+Model initial state.
+"""
+
+# Dependences
+
+import random
+import uuid
+import numpy as np
+from typing import Tuple, List, Dict
+
+## Input parameters
+
+### World size & initial food
+N = 20
+M = 20
+INITIAL_SITE_FOOD = 5
+
+### Initial agent count
+PREDATOR_COUNT = 20
+PREY_COUNT = 100
+
+## Helper functions
+
+def new_agent(agent_type: str, location: Tuple[int, int],
+              food: int=10, age: int=0) -> dict:
+    agent = {'type': agent_type,
+             'location': location,
+             'food': food,
+             'age':age}
+    return agent
+
+
+def generate_agents(available_locations: List[Tuple[int, int]],
+                    n_predators: int,
+                    n_prey: int) -> Dict[str, dict]:
+    initial_agents = {}
+    type_queue = ['prey'] * n_prey
+    type_queue += ['predator'] * n_predators
+    random.shuffle(type_queue)
+    for agent_type in type_queue:
+        location = random.choice(available_locations)
+        available_locations.remove(location)
+        created_agent = new_agent(agent_type, location)
+        initial_agents[uuid.uuid4()] = created_agent
+    return initial_agents
+
+## Generate initial state
+
+sites = np.ones((N, M)) * INITIAL_SITE_FOOD
+locations = [(n, m) for n in range(N) for m in range(M)]
+initial_agents = generate_agents(locations, PREDATOR_COUNT, PREY_COUNT)
+
+## Initial state object
+
+genesis_states = {
+    'agents': initial_agents,
+    'sites': sites,
+}
diff --git a/demos/prey-predator/prey_predator_abm/model/sys_params.py b/demos/prey-predator/prey_predator_abm/model/sys_params.py
new file mode 100644
index 0000000..cbbe5b5
--- /dev/null
+++ b/demos/prey-predator/prey_predator_abm/model/sys_params.py
@@ -0,0 +1,13 @@
+"""
+Model parameters.
+"""
+
+sys_params = {
+    'food_growth_rate': [3],
+    'maximum_food_per_site': [10],
+    'reproduction_probability': [1.0],
+    'agent_lifespan': [35],
+    'reproduction_food_threshold': [6], # When the agents start reproducing
+    'hunger_threshold': [15], # When the agents start eating
+    'reproduction_food': [1] # How much food is needed for reproducing
+}
diff --git a/demos/prey-predator/prey_predator_abm/sim_params.py b/demos/prey-predator/prey_predator_abm/sim_params.py
new file mode 100644
index 0000000..be80249
--- /dev/null
+++ b/demos/prey-predator/prey_predator_abm/sim_params.py
@@ -0,0 +1,5 @@
+"""
+Simulation parameters.
+"""
+
+SIMULATION_TIME_STEPS = 300
diff --git a/demos/prey-predator/prey_predator_sd/__init__.py b/demos/prey-predator/prey_predator_sd/__init__.py
new file mode 100644
index 0000000..e69de29
diff --git a/demos/prey-predator/prey_predator_sd/config.py b/demos/prey-predator/prey_predator_sd/config.py
new file mode 100644
index 0000000..07a9cb1
--- /dev/null
+++ b/demos/prey-predator/prey_predator_sd/config.py
@@ -0,0 +1,25 @@
+MONTE_CARLO_RUNS = 5 # N monte carlo runs
+
+from cadCAD.configuration import Experiment
+from cadCAD.configuration.utils import config_sim
+from .model.state_variables import genesis_states
+from .model.partial_state_update_block import partial_state_update_block
+from .model.sys_params import sys_params as sys_params
+from .sim_params import SIMULATION_TIME_STEPS
+
+
+sim_config = config_sim (
+    {
+        'N': 1,
+        'T': range(SIMULATION_TIME_STEPS), # number of timesteps
+        'M': sys_params,
+    }
+)
+
+exp = Experiment()
+
+exp.append_configs(
+    sim_configs=sim_config,
+    initial_state=genesis_states,
+    partial_state_update_blocks=partial_state_update_block
+)
diff --git a/demos/prey-predator/prey_predator_sd/model/__init__.py b/demos/prey-predator/prey_predator_sd/model/__init__.py
new file mode 100644
index 0000000..e69de29
diff --git a/demos/prey-predator/prey_predator_sd/model/partial_state_update_block.py b/demos/prey-predator/prey_predator_sd/model/partial_state_update_block.py
new file mode 100644
index 0000000..98dd2c1
--- /dev/null
+++ b/demos/prey-predator/prey_predator_sd/model/partial_state_update_block.py
@@ -0,0 +1,18 @@
+from .parts.lotka_volterra import *
+
+
+partial_state_update_block = [
+    {
+        'policies': {
+            'reproduce_prey': p_reproduce_prey,
+            'reproduce_predators': p_reproduce_predators,
+            'eliminate_prey': p_eliminate_prey,
+            'eliminate_predators': p_eliminate_predators
+        },
+        'variables': {
+            'prey_population': s_prey_population,
+            'predator_population': s_predator_population            
+        }
+    }
+
+]
\ No newline at end of file
diff --git a/demos/prey-predator/prey_predator_sd/model/parts/__init__.py b/demos/prey-predator/prey_predator_sd/model/parts/__init__.py
new file mode 100644
index 0000000..e69de29
diff --git a/demos/prey-predator/prey_predator_sd/model/parts/lotka_volterra.py b/demos/prey-predator/prey_predator_sd/model/parts/lotka_volterra.py
new file mode 100644
index 0000000..1cb5847
--- /dev/null
+++ b/demos/prey-predator/prey_predator_sd/model/parts/lotka_volterra.py
@@ -0,0 +1,48 @@
+import numpy as np
+
+## Policies
+
+def p_reproduce_prey(params, substep, state_history, prev_state):
+    born_population = prev_state['prey_population']
+    born_population *= params['prey_reproduction_rate']
+    born_population *= params['dt']
+    return {'add_prey': born_population}
+
+
+def p_reproduce_predators(params, substep, state_history, prev_state):
+    born_population = prev_state['predator_population']
+    born_population *= prev_state['prey_population']  
+    born_population *= params['predator_interaction_factor']
+    born_population *= params['dt']
+    return {'add_predators': born_population}
+
+
+def p_eliminate_prey(params, substep, state_history, prev_state):
+    population = prev_state['prey_population']
+    natural_elimination = population * params['prey_death_rate']
+    
+    interaction_elimination = population * prev_state['predator_population']
+    interaction_elimination *= params['prey_interaction_factor']
+    
+    eliminated_population = natural_elimination + interaction_elimination
+    eliminated_population *= params['dt']
+    return {'add_prey': -1.0 * eliminated_population}
+
+
+def p_eliminate_predators(params, substep, state_history, prev_state):
+    population = prev_state['predator_population']
+    eliminated_population = population * params['predator_death_rate']
+    eliminated_population *= params['dt']
+    return {'add_predators': -1.0 * eliminated_population}
+
+
+## SUFs
+
+def s_prey_population(params, substep, state_history, prev_state, policy_input):
+    updated_prey_population = np.ceil(prev_state['prey_population'] + policy_input['add_prey'])
+    return ('prey_population', max(updated_prey_population, 0))
+
+
+def s_predator_population(params, substep, state_history, prev_state, policy_input):
+    updated_predator_population = np.ceil(prev_state['predator_population'] + policy_input['add_predators'])
+    return ('predator_population', max(updated_predator_population, 0))
\ No newline at end of file
diff --git a/demos/prey-predator/prey_predator_sd/model/state_variables.py b/demos/prey-predator/prey_predator_sd/model/state_variables.py
new file mode 100644
index 0000000..922c322
--- /dev/null
+++ b/demos/prey-predator/prey_predator_sd/model/state_variables.py
@@ -0,0 +1,8 @@
+import random
+import uuid
+import numpy as np
+
+genesis_states = {
+    'prey_population': 100,
+    'predator_population': 50
+}
diff --git a/demos/prey-predator/prey_predator_sd/model/sys_params.py b/demos/prey-predator/prey_predator_sd/model/sys_params.py
new file mode 100644
index 0000000..0a6626e
--- /dev/null
+++ b/demos/prey-predator/prey_predator_sd/model/sys_params.py
@@ -0,0 +1,8 @@
+sys_params = {
+    'prey_reproduction_rate': [0.3],
+    'predator_interaction_factor': [0.0001],
+    'prey_interaction_factor': [0.001],
+    'prey_death_rate': [0.01],
+    'predator_death_rate': [0.5],
+    'dt': [0.1]
+}
diff --git a/demos/prey-predator/prey_predator_sd/sim_params.py b/demos/prey-predator/prey_predator_sd/sim_params.py
new file mode 100644
index 0000000..55dca6f
--- /dev/null
+++ b/demos/prey-predator/prey_predator_sd/sim_params.py
@@ -0,0 +1,6 @@
+# Simulation configuration parameters
+# DAYS_PER_TIMESTEP = 1
+# SIMULATION_TIME_YEARS = 10
+# SIMULATION_TIME_STEPS = int(SIMULATION_TIME_YEARS * 365 / DAYS_PER_TIMESTEP)
+
+SIMULATION_TIME_STEPS = 1000
diff --git a/demos/prey-predator/run.py b/demos/prey-predator/run.py
new file mode 100644
index 0000000..47c9099
--- /dev/null
+++ b/demos/prey-predator/run.py
@@ -0,0 +1,40 @@
+# The following imports NEED to be in the exact order
+from cadCAD.engine import ExecutionMode, ExecutionContext, Executor
+
+# Simulation configs, input any new simulations here
+from prey_predator_sd import config
+from prey_predator_abm import config
+#from {new_simulation} import config
+
+from cadCAD import configs
+import pandas as pd
+
+
+def run(drop_midsteps: bool=True) -> pd.DataFrame:
+    """
+    Run all experiments and return their output on the dataset column.
+    Each line represents an iteration of the parameter-sweep combinations.
+    """
+    
+    exec_mode = ExecutionMode()
+    exec_context = ExecutionContext(exec_mode.local_mode)
+    run = Executor(exec_context=exec_context, configs=configs)
+    results = pd.DataFrame()
+
+    (system_events, tensor_field, sessions) = run.execute()
+
+    df = pd.DataFrame(system_events)
+    results = []
+    for i, (_, subset_df) in enumerate(df.groupby(["simulation", "subset"])):
+        params = configs[i].sim_config['M']
+        result_record = pd.DataFrame.from_records([tuple([i for i in params.values()])], columns=list(params.keys()))
+        # keep only last substep of each timestep
+        if drop_midsteps:
+            max_substep = max(subset_df.substep)
+            is_droppable = (subset_df.substep != max_substep)
+            is_droppable &= (subset_df.substep != 0)
+            subset_df = subset_df.loc[~is_droppable]
+        result_record['dataset'] = [subset_df]
+        results.append(result_record)
+
+    return pd.concat(results).reset_index()
\ No newline at end of file
diff --git a/demos/uniswap/README.md b/demos/uniswap/README.md
new file mode 100644
index 0000000..1ed7f64
--- /dev/null
+++ b/demos/uniswap/README.md
@@ -0,0 +1,2 @@
+# Uniswap @ cadCAD
+Uniswap [cadCAD](http://cadcad.org) models and data analyses
\ No newline at end of file
diff --git a/demos/uniswap/lawsofmotion.png b/demos/uniswap/lawsofmotion.png
new file mode 100644
index 0000000..29a7994
Binary files /dev/null and b/demos/uniswap/lawsofmotion.png differ
diff --git a/demos/uniswap/license.txt b/demos/uniswap/license.txt
new file mode 100644
index 0000000..7729d90
--- /dev/null
+++ b/demos/uniswap/license.txt
@@ -0,0 +1,7 @@
+Copyright 2019, BlockScience Inc
+
+Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:
+
+The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.
+
+THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
diff --git a/demos/uniswap/simplified-uniswap.ipynb b/demos/uniswap/simplified-uniswap.ipynb
new file mode 100644
index 0000000..ea1dd55
--- /dev/null
+++ b/demos/uniswap/simplified-uniswap.ipynb
@@ -0,0 +1,1376 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import pandas as pd\n",
+    "pd.set_option('max_colwidth', 70)\n",
+    "%matplotlib inline"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Simplified Uniswap Model\n",
+    "## Introduction to Uniswap\n",
+    ">Uniswap is an automated market maker for exchanging ERC20 tokens. Anyone can become a liquidity provider, and invest in the liquidity pool of an ERC20 token. This allows other users to trade that token for other tokens at an exchange rate based on their relative availibility. When a token trade is executed, a small fee is paid to the liquidity providers that enabled the transaction.\n",
+    "https://uniswap.io/\n",
+    "\n",
+    "There are basically eight ways (_mechanisms_) in which an agent can interact with an instance of Uniswap:\n",
+    "1. `addLiquidity`: deposit ETH and tokens in the liquidity pool; mint UNI tokens - \"shares\" of that Uniswap instance - in exchange;\n",
+    "1. `removeLiquidity`: burn UNI tokens; withdraw a proportional amount of ETH and tokens in exchange;\n",
+    "1. `ethToTokenInput`: user specifies an exact amount of ETH they send; receives corresponding amount of tokens\n",
+    "1. `ethToTokenOutput`: user sends some ETH and specifies an exact amount of tokens they want to buy; Uniswap refunds ETH sent in excess\n",
+    "1. `tokenToEthInput`: user specifies an exact amount of tokens they send; receives corresponding amount of ETH\n",
+    "1. `tokenToEthOutput`: user specifies an exact amount of ETH they want to buy; Uniswap takes the corresponding amount of tokens from the user account\n",
+    "1. `tokenToTokenInput`: user specifies an exact amount of \"token A\" they send; receives corresponding amount of \"token B\" (effectively a `tokenToEthInput` in instance A combined with a `ethToTokenInput` in instance B)\n",
+    "1. `tokenToTokenOutput`: user specifies an exact amount of \"token B˜ they want to buy; Uniswap takes the corresponding amount of \"token A\" from the user account (effectively a `ethToTokenOutput` in instance B combined with a `tokenToEthOutput` in instance A)\n",
+    "\n",
+    "## Limitations and simplifications of this model\n",
+    "* When triggering mechanisms, Uniswap users may include conditions they would like to apply to the transaction. For example, they could define a minimum amount of UNI tokens they wish to receive as a result of adding liquidity to the pool; or the maximum number of tokens they are willing to pay for the amount of ETH requested in a `tokenToEthOutput` operation; or a deadline after which the transaction should not be processed. **This simplified model does not account for this kind conditioning.**\n",
+    "\n",
+    "* The `ethToTokenOutput`, `tokenToEthOutput` mechanisms are not implemented. **All swaps are treated as of the \"input defined\" type.**\n",
+    "\n",
+    "* The `tokenToToken` mechanism are not implemented, as they are merely a `tokenToEth` in the context of a single Uniswap instance.\n",
+    "\n",
+    "* **User _behavior_ has not been modeled**. User _actions_ are derived from the history of events of the Uniswap instance being analyzed."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "_____________"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## MODEL\n",
+    "\n",
+    "### Initial conditions\n",
+    "These are the initial conditions of the [DAI-ETH Uniswap instance](https://etherscan.io/address/0x09cabEC1eAd1c0Ba254B09efb3EE13841712bE14)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "{'DAI_balance': 5900000000000000000000,\n",
+       " 'ETH_balance': 30000000000000000000,\n",
+       " 'UNI_supply': 30000000000000000000}"
+      ]
+     },
+     "execution_count": 2,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "state = {\n",
+    "    'DAI_balance': 5900000000000000000000,\n",
+    "    'ETH_balance': 30000000000000000000\n",
+    "}\n",
+    "state['UNI_supply'] = state['ETH_balance']\n",
+    "state"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Parameters\n",
+    "These are the parameters of Uniswap that represent the fee collected on each swap. Notice that these are hardcoded in the Uniswap smart contracts, but we model them as parameters in order to be able to do A/B testing and parameter sweeping on them in the future."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "{'fee_numerator': [997], 'fee_denominator': [1000]}"
+      ]
+     },
+     "execution_count": 3,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "params = {\n",
+    "    'fee_numerator': [997],\n",
+    "    'fee_denominator': [1000]\n",
+    "}\n",
+    "params"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Mechanisms\n",
+    "In order to better mimic the behavior of Uniswap, we need to pay special attention to two things:\n",
+    "1. make explicit that we want numbers to be treated as integers by the Python interpreter - there are probably more casts to `int` than needed throughout the code;\n",
+    "1. Uniswap was coded in Vyper, where the `/` operator applied to integer variables returns the dividend of the division. In order to achieve the same in Python, we need to use _\"floor division\"_ (`//`) instead of _\"true division\"_ (`/`)."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "10000000000000000000 / 5000000000000000001 = 2.0\n",
+      "int(10000000000000000000 / 5000000000000000001) = 2\n",
+      "10000000000000000000 // 5000000000000000001 = 1\n"
+     ]
+    }
+   ],
+   "source": [
+    "expr = '10000000000000000000 / 5000000000000000001'\n",
+    "print(f'{expr} = {eval(expr)}')\n",
+    "expr = 'int(10000000000000000000 / 5000000000000000001)'\n",
+    "print(f'{expr} = {eval(expr)}')\n",
+    "expr = '10000000000000000000 // 5000000000000000001'\n",
+    "print(f'{expr} = {eval(expr)}')"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Mechanism - addLiquidity"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# def addLiquidity(min_liquidity: uint256, max_tokens: uint256, deadline: timestamp) -> uint256:\n",
+    "#     assert deadline > block.timestamp and (max_tokens > 0 and msg.value > 0)\n",
+    "#     total_liquidity: uint256 = self.totalSupply\n",
+    "#     if total_liquidity > 0:\n",
+    "#         assert min_liquidity > 0\n",
+    "#         eth_reserve: uint256(wei) = self.balance - msg.value\n",
+    "#         token_reserve: uint256 = self.token.balanceOf(self)\n",
+    "#         token_amount: uint256 = msg.value * token_reserve / eth_reserve + 1\n",
+    "#         liquidity_minted: uint256 = msg.value * total_liquidity / eth_reserve\n",
+    "#         assert max_tokens >= token_amount and liquidity_minted >= min_liquidity\n",
+    "#         self.balances[msg.sender] += liquidity_minted\n",
+    "#         self.totalSupply = total_liquidity + liquidity_minted\n",
+    "#         assert self.token.transferFrom(msg.sender, self, token_amount)\n",
+    "#         log.AddLiquidity(msg.sender, msg.value, token_amount)\n",
+    "#         log.Transfer(ZERO_ADDRESS, msg.sender, liquidity_minted)\n",
+    "#         return liquidity_minted\n",
+    "\n",
+    "def addLiquidity_UNI(params, step, history, current_state, input_):\n",
+    "    total_liquidity = int(current_state['UNI_supply'])\n",
+    "    eth_reserve = int(current_state['ETH_balance'])\n",
+    "    liquidity_minted = int(input_['eth_deposit'] * total_liquidity // eth_reserve)\n",
+    "    return ('UNI_supply', total_liquidity + liquidity_minted)\n",
+    "\n",
+    "def addLiquidity_ETH(params, step, history, current_state, input_):\n",
+    "    eth_reserve = int(current_state['ETH_balance'])\n",
+    "    return ('ETH_balance', eth_reserve + input_['eth_deposit'])\n",
+    "\n",
+    "def addLiquidity_DAI(params, step, history, current_state, input_):\n",
+    "    eth_reserve = int(current_state['ETH_balance'])\n",
+    "    token_reserve = int(current_state['DAI_balance'])\n",
+    "    if input_['eth_deposit'] == 0:\n",
+    "        token_amount = 0\n",
+    "    else:\n",
+    "        token_amount = int(input_['eth_deposit'] * token_reserve // eth_reserve + 1)\n",
+    "    return ('DAI_balance', token_reserve + token_amount)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Mechanism - removeLiquidity"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# def removeLiquidity(amount: uint256, min_eth: uint256(wei), min_tokens: uint256, deadline: timestamp) -> (uint256(wei), uint256):\n",
+    "#     assert (amount > 0 and deadline > block.timestamp) and (min_eth > 0 and min_tokens > 0)\n",
+    "#     total_liquidity: uint256 = self.totalSupply\n",
+    "#     assert total_liquidity > 0\n",
+    "#     token_reserve: uint256 = self.token.balanceOf(self)\n",
+    "#     eth_amount: uint256(wei) = amount * self.balance / total_liquidity\n",
+    "#     token_amount: uint256 = amount * token_reserve / total_liquidity\n",
+    "#     assert eth_amount >= min_eth and token_amount >= min_tokens\n",
+    "#     self.balances[msg.sender] -= amount\n",
+    "#     self.totalSupply = total_liquidity - amount\n",
+    "#     send(msg.sender, eth_amount)\n",
+    "#     assert self.token.transfer(msg.sender, token_amount)\n",
+    "#     log.RemoveLiquidity(msg.sender, eth_amount, token_amount)\n",
+    "#     log.Transfer(msg.sender, ZERO_ADDRESS, amount)\n",
+    "#     return eth_amount, token_amount\n",
+    "\n",
+    "def removeLiquidity_UNI(params, step, history, current_state, input_):\n",
+    "    total_liquidity = int(current_state['UNI_supply'])\n",
+    "    amount = int(input_['UNI_burn'])\n",
+    "    return ('UNI_supply', int(total_liquidity - amount))\n",
+    "\n",
+    "def removeLiquidity_ETH(params, step, history, current_state, input_):\n",
+    "    total_liquidity = int(current_state['UNI_supply'])\n",
+    "    eth_reserve = int(current_state['ETH_balance'])\n",
+    "    amount = int(input_['UNI_burn'])\n",
+    "    eth_amount = int(amount * eth_reserve // total_liquidity)\n",
+    "    return ('ETH_balance', int(eth_reserve - eth_amount))\n",
+    "\n",
+    "def removeLiquidity_DAI(params, step, history, current_state, input_):\n",
+    "    total_liquidity = int(current_state['UNI_supply'])\n",
+    "    token_reserve = int(current_state['DAI_balance'])\n",
+    "    amount = int(input_['UNI_burn'])\n",
+    "    token_amount = int(amount * token_reserve // total_liquidity)\n",
+    "    return ('DAI_balance', int(token_reserve - token_amount))"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Auxiliary function - getInputPrice"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# @dev Pricing function for converting between ETH and Tokens.\n",
+    "# @param input_amount Amount of ETH or Tokens being sold.\n",
+    "# @param input_reserve Amount of ETH or Tokens (input type) in exchange reserves.\n",
+    "# @param output_reserve Amount of ETH or Tokens (output type) in exchange reserves.\n",
+    "# @return Amount of ETH or Tokens bought.\n",
+    "def getInputPrice(input_amount, input_reserve, output_reserve, params):\n",
+    "    fee_numerator = params['fee_numerator']\n",
+    "    fee_denominator = params['fee_denominator']\n",
+    "    input_amount_with_fee = input_amount * fee_numerator\n",
+    "    numerator = input_amount_with_fee * output_reserve\n",
+    "    denominator = (input_reserve * fee_denominator) + input_amount_with_fee\n",
+    "    return int(numerator // denominator)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Mechanism - ethToToken"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# @private\n",
+    "# def ethToTokenInput(eth_sold: uint256(wei), min_tokens: uint256, deadline: timestamp, buyer: address, recipient: address) -> uint256:\n",
+    "#     assert deadline >= block.timestamp and (eth_sold > 0 and min_tokens > 0)\n",
+    "#     token_reserve: uint256 = self.token.balanceOf(self)\n",
+    "#     tokens_bought: uint256 = self.getInputPrice(as_unitless_number(eth_sold), as_unitless_number(self.balance - eth_sold), token_reserve)\n",
+    "#     assert tokens_bought >= min_tokens\n",
+    "#     assert self.token.transfer(recipient, tokens_bought)\n",
+    "#     log.TokenPurchase(buyer, eth_sold, tokens_bought)\n",
+    "#     return tokens_bought\n",
+    "\n",
+    "def ethToToken_ETH(params, step, history, current_state, input_):\n",
+    "    eth_sold = int(input_['eth_sold']) #amount of ETH being sold by the user\n",
+    "    eth_reserve = int(current_state['ETH_balance'])\n",
+    "    return ('ETH_balance', eth_reserve + eth_sold)\n",
+    "\n",
+    "def ethToToken_DAI(params, step, history, current_state, input_):\n",
+    "    eth_sold = int(input_['eth_sold']) #amount of ETH being sold by the user\n",
+    "    eth_reserve = int(current_state['ETH_balance'])\n",
+    "    token_reserve = int(current_state['DAI_balance'])\n",
+    "    if eth_sold == 0:\n",
+    "        return ('DAI_balance', token_reserve)\n",
+    "    else:\n",
+    "        tokens_bought = int(getInputPrice(eth_sold, eth_reserve, token_reserve, params))\n",
+    "        return ('DAI_balance', token_reserve - tokens_bought)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Mechanism - tokenToEth"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# @private\n",
+    "# def tokenToEthInput(tokens_sold: uint256, min_eth: uint256(wei), deadline: timestamp, buyer: address, recipient: address) -> uint256(wei):\n",
+    "#     assert deadline >= block.timestamp and (tokens_sold > 0 and min_eth > 0)\n",
+    "#     token_reserve: uint256 = self.token.balanceOf(self)\n",
+    "#     eth_bought: uint256 = self.getInputPrice(tokens_sold, token_reserve, as_unitless_number(self.balance))\n",
+    "#     wei_bought: uint256(wei) = as_wei_value(eth_bought, 'wei')\n",
+    "#     assert wei_bought >= min_eth\n",
+    "#     send(recipient, wei_bought)\n",
+    "#     assert self.token.transferFrom(buyer, self, tokens_sold)\n",
+    "#     log.EthPurchase(buyer, tokens_sold, wei_bought)\n",
+    "#     return wei_bought\n",
+    "\n",
+    "def tokenToEth_ETH(params, step, history, current_state, input_):\n",
+    "    tokens_sold = int(input_['tokens_sold']) #amount of tokens being sold by the user\n",
+    "    eth_reserve = int(current_state['ETH_balance'])\n",
+    "    if tokens_sold == 0:\n",
+    "        return ('ETH_balance', eth_reserve)\n",
+    "    else:\n",
+    "        token_reserve = int(current_state['DAI_balance'])\n",
+    "        eth_bought = int(getInputPrice(tokens_sold, token_reserve, eth_reserve, params))\n",
+    "        return ('ETH_balance', eth_reserve - eth_bought)\n",
+    "    \n",
+    "def tokenToEth_DAI(params, step, history, current_state, input_):\n",
+    "    tokens_sold = int(input_['tokens_sold']) #amount of tokens being sold by the user\n",
+    "    token_reserve = int(current_state['DAI_balance'])\n",
+    "    return ('DAI_balance', token_reserve + tokens_sold)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Events dataset\n",
+    "The events dataset was generated using [Kaggle/BigQuery](https://www.kaggle.com/markusbkoch/uniswap-ethdai-exchange/), as is available for download [here](https://www.kaggleusercontent.com/kf/21051736/eyJhbGciOiJkaXIiLCJlbmMiOiJBMTI4Q0JDLUhTMjU2In0..HdZwILo7rBzA0baBSYIogA.5sWqgw2JU7MhBWp6MFRE2kpUJPQyAsOmljPX3jRGeEJMY5bYdZNjeW6XsuOkVDe8v4wcL5Efa3EpkrrC7bu-RLKqEEHazP2L5IQHGoYhschgBumjaoR2VPGM4xL40abyFTesKlVHGef2EIIlwpvHX0DcNrMQI-MpyVEjMSHx_oY.kBNFGv1rap1qLe-tfqQA6A/uniswap_events.pickle)."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
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+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>transactionHash</th>\n",
+       "      <th>transaction_index</th>\n",
+       "      <th>transaction_sender</th>\n",
+       "      <th>address</th>\n",
+       "      <th>data</th>\n",
+       "      <th>topics</th>\n",
+       "      <th>block_timestamp</th>\n",
+       "      <th>blockNumber_dec</th>\n",
+       "      <th>contract</th>\n",
+       "      <th>event</th>\n",
+       "      <th>contract_event</th>\n",
+       "      <th>block_group</th>\n",
+       "      <th>agent</th>\n",
+       "      <th>eth_delta</th>\n",
+       "      <th>token_delta</th>\n",
+       "      <th>uni_delta</th>\n",
+       "      <th>eth_balance</th>\n",
+       "      <th>token_balance</th>\n",
+       "      <th>UNI_supply</th>\n",
+       "      <th>invariant</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>0xbd773ccc33c831378f2aa2b7d4a9ae8a20ed9112ea9acb86ce96aa674c0cb5f9</td>\n",
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+       "      <td>0xf369af914dbed0ad7afdddebc631ee0fda1b4891</td>\n",
+       "      <td>0x09cabec1ead1c0ba254b09efb3ee13841712be14</td>\n",
+       "      <td>0x</td>\n",
+       "      <td>[0x06239653922ac7bea6aa2b19dc486b9361821d37712eb796adfd38d81de278c...</td>\n",
+       "      <td>2018-11-02 10:27:36+00:00</td>\n",
+       "      <td>6629139</td>\n",
+       "      <td>DAI</td>\n",
+       "      <td>AddLiquidity</td>\n",
+       "      <td>DAIAddLiquidity</td>\n",
+       "      <td>662</td>\n",
+       "      <td>0xf369af914dbed0ad7afdddebc631ee0fda1b4891</td>\n",
+       "      <td>30000000000000000000</td>\n",
+       "      <td>5900000000000000000000</td>\n",
+       "      <td>0</td>\n",
+       "      <td>30000000000000000000</td>\n",
+       "      <td>5900000000000000000000</td>\n",
+       "      <td>0</td>\n",
+       "      <td>177000000000000000000000000000000000000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>0xbd773ccc33c831378f2aa2b7d4a9ae8a20ed9112ea9acb86ce96aa674c0cb5f9</td>\n",
+       "      <td>150</td>\n",
+       "      <td>0xf369af914dbed0ad7afdddebc631ee0fda1b4891</td>\n",
+       "      <td>0x09cabec1ead1c0ba254b09efb3ee13841712be14</td>\n",
+       "      <td>0x000000000000000000000000000000000000000000000001a055690d9db80000</td>\n",
+       "      <td>[0xddf252ad1be2c89b69c2b068fc378daa952ba7f163c4a11628f55a4df523b3e...</td>\n",
+       "      <td>2018-11-02 10:27:36+00:00</td>\n",
+       "      <td>6629139</td>\n",
+       "      <td>DAI</td>\n",
+       "      <td>Transfer</td>\n",
+       "      <td>DAITransfer</td>\n",
+       "      <td>662</td>\n",
+       "      <td>0x0000000000000000000000000000000000000000</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>30000000000000000000</td>\n",
+       "      <td>30000000000000000000</td>\n",
+       "      <td>5900000000000000000000</td>\n",
+       "      <td>30000000000000000000</td>\n",
+       "      <td>177000000000000000000000000000000000000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>0xd53f01fc0cabbf4083da93a023ddb81de91320027077849ac982f7bc04b49279</td>\n",
+       "      <td>97</td>\n",
+       "      <td>0xf369af914dbed0ad7afdddebc631ee0fda1b4891</td>\n",
+       "      <td>0x09cabec1ead1c0ba254b09efb3ee13841712be14</td>\n",
+       "      <td>0x</td>\n",
+       "      <td>[0x7f4091b46c33e918a0f3aa42307641d17bb67029427a5369e54b35398423870...</td>\n",
+       "      <td>2018-11-02 10:33:56+00:00</td>\n",
+       "      <td>6629171</td>\n",
+       "      <td>DAI</td>\n",
+       "      <td>EthPurchase</td>\n",
+       "      <td>DAIEthPurchase</td>\n",
+       "      <td>662</td>\n",
+       "      <td>0xf369af914dbed0ad7afdddebc631ee0fda1b4891</td>\n",
+       "      <td>-25326059253325791</td>\n",
+       "      <td>5000000000000000000</td>\n",
+       "      <td>0</td>\n",
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+       "      <td>5905000000000000000000</td>\n",
+       "      <td>30000000000000000000</td>\n",
+       "      <td>177000449620109111204145000000000000000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>0x53172898dbe437c784f7e4ac757087b28d1b06aa6b72b81d4a6bb2bead50c93e</td>\n",
+       "      <td>53</td>\n",
+       "      <td>0xf369af914dbed0ad7afdddebc631ee0fda1b4891</td>\n",
+       "      <td>0x09cabec1ead1c0ba254b09efb3ee13841712be14</td>\n",
+       "      <td>0x</td>\n",
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+       "      <td>2018-11-02 10:35:47+00:00</td>\n",
+       "      <td>6629177</td>\n",
+       "      <td>DAI</td>\n",
+       "      <td>EthPurchase</td>\n",
+       "      <td>DAIEthPurchase</td>\n",
+       "      <td>662</td>\n",
+       "      <td>0xf369af914dbed0ad7afdddebc631ee0fda1b4891</td>\n",
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+       "      <td>2000000000000000000</td>\n",
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+       "      <td>30000000000000000000</td>\n",
+       "      <td>177000629407442181233772000000000000000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>0x6cef57fd37d7a2602c1236ff080c61c37e10980c7e3bd66de6f4e0ed52f16011</td>\n",
+       "      <td>24</td>\n",
+       "      <td>0x11e4857bb9993a50c685a79afad4e6f65d518dda</td>\n",
+       "      <td>0x09cabec1ead1c0ba254b09efb3ee13841712be14</td>\n",
+       "      <td>0x</td>\n",
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+       "      <td>2018-11-02 10:38:18+00:00</td>\n",
+       "      <td>6629190</td>\n",
+       "      <td>DAI</td>\n",
+       "      <td>TokenPurchase</td>\n",
+       "      <td>DAITokenPurchase</td>\n",
+       "      <td>662</td>\n",
+       "      <td>0x11e4857bb9993a50c685a79afad4e6f65d518dda</td>\n",
+       "      <td>10000000000000000</td>\n",
+       "      <td>-1964761376358359468</td>\n",
+       "      <td>0</td>\n",
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+       "      <td>30000000000000000000</td>\n",
+       "      <td>177000806558499339943044863018842396120272</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
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+       "      <td>...</td>\n",
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+       "      <td>0xe9286e3e23957063046d6299eca0a5c724a034a0566a78754f5f23613a4b0312</td>\n",
+       "      <td>40</td>\n",
+       "      <td>0x4b8673ca1b5c9f08cfffce527fec9173c35e27f3</td>\n",
+       "      <td>0x09cabec1ead1c0ba254b09efb3ee13841712be14</td>\n",
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+       "      <td>[0x7f4091b46c33e918a0f3aa42307641d17bb67029427a5369e54b35398423870...</td>\n",
+       "      <td>2019-09-23 23:37:04+00:00</td>\n",
+       "      <td>8608422</td>\n",
+       "      <td>DAI</td>\n",
+       "      <td>EthPurchase</td>\n",
+       "      <td>DAIEthPurchase</td>\n",
+       "      <td>860</td>\n",
+       "      <td>0x4b8673ca1b5c9f08cfffce527fec9173c35e27f3</td>\n",
+       "      <td>-198016436809685891</td>\n",
+       "      <td>40000000000000000000</td>\n",
+       "      <td>0</td>\n",
+       "      <td>6302047541877387309207</td>\n",
+       "      <td>1269256071848791636644352</td>\n",
+       "      <td>5320135262833503868378</td>\n",
+       "      <td>7998912107607625827109961968988225660114148864</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
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+       "      <td>0x3f5265badf1846d559337e655faf03e643f36599aded1ea233b5eb6928219804</td>\n",
+       "      <td>83</td>\n",
+       "      <td>0x4b8673ca1b5c9f08cfffce527fec9173c35e27f3</td>\n",
+       "      <td>0x09cabec1ead1c0ba254b09efb3ee13841712be14</td>\n",
+       "      <td>0x</td>\n",
+       "      <td>[0x7f4091b46c33e918a0f3aa42307641d17bb67029427a5369e54b35398423870...</td>\n",
+       "      <td>2019-09-23 23:45:05+00:00</td>\n",
+       "      <td>8608464</td>\n",
+       "      <td>DAI</td>\n",
+       "      <td>EthPurchase</td>\n",
+       "      <td>DAIEthPurchase</td>\n",
+       "      <td>860</td>\n",
+       "      <td>0x4b8673ca1b5c9f08cfffce527fec9173c35e27f3</td>\n",
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+       "      <td>25000000000000000000</td>\n",
+       "      <td>0</td>\n",
+       "      <td>6301923787934843434538</td>\n",
+       "      <td>1269281071848791636644352</td>\n",
+       "      <td>5320135262833503868378</td>\n",
+       "      <td>7998912580259335158776901047006760160899429376</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>101483</th>\n",
+       "      <td>0x6f1ce2ac600b615a9a99729100cafb9e8c6a5b592b5c26de8be8a7998c4780ca</td>\n",
+       "      <td>108</td>\n",
+       "      <td>0x23983ea2123d40eb5655dfff3f3c917c78f214f6</td>\n",
+       "      <td>0x09cabec1ead1c0ba254b09efb3ee13841712be14</td>\n",
+       "      <td>0x</td>\n",
+       "      <td>[0xcd60aa75dea3072fbc07ae6d7d856b5dc5f4eee88854f5b4abf7b680ef8bc50...</td>\n",
+       "      <td>2019-09-23 23:52:48+00:00</td>\n",
+       "      <td>8608502</td>\n",
+       "      <td>DAI</td>\n",
+       "      <td>TokenPurchase</td>\n",
+       "      <td>DAITokenPurchase</td>\n",
+       "      <td>860</td>\n",
+       "      <td>0x23983ea2123d40eb5655dfff3f3c917c78f214f6</td>\n",
+       "      <td>3761852803869270000</td>\n",
+       "      <td>-754958783191617305007</td>\n",
+       "      <td>0</td>\n",
+       "      <td>6305685640738712704538</td>\n",
+       "      <td>1268526113065600019339345</td>\n",
+       "      <td>5320135262833503868378</td>\n",
+       "      <td>7998926896059846775691596222003712648943447610</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>101484</th>\n",
+       "      <td>0xf7030ccc0e66e37b52b924a08dbd3a112641afa75d3c9f5206d4d1ac7d25af3b</td>\n",
+       "      <td>116</td>\n",
+       "      <td>0x8a333c59eab0ad608f857a02c3702b910e24493b</td>\n",
+       "      <td>0x09cabec1ead1c0ba254b09efb3ee13841712be14</td>\n",
+       "      <td>0x</td>\n",
+       "      <td>[0xcd60aa75dea3072fbc07ae6d7d856b5dc5f4eee88854f5b4abf7b680ef8bc50...</td>\n",
+       "      <td>2019-09-23 23:56:22+00:00</td>\n",
+       "      <td>8608513</td>\n",
+       "      <td>DAI</td>\n",
+       "      <td>TokenPurchase</td>\n",
+       "      <td>DAITokenPurchase</td>\n",
+       "      <td>860</td>\n",
+       "      <td>0xa2881a90bf33f03e7a3f803765cd2ed5c8928dfb</td>\n",
+       "      <td>22537050091283742</td>\n",
+       "      <td>-4519736539681249391</td>\n",
+       "      <td>0</td>\n",
+       "      <td>6305708177788803988280</td>\n",
+       "      <td>1268521593329060338089954</td>\n",
+       "      <td>5320135262833503868378</td>\n",
+       "      <td>7998926984756739317657470536463978912601739120</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>101485</th>\n",
+       "      <td>0xf7030ccc0e66e37b52b924a08dbd3a112641afa75d3c9f5206d4d1ac7d25af3b</td>\n",
+       "      <td>116</td>\n",
+       "      <td>0x8a333c59eab0ad608f857a02c3702b910e24493b</td>\n",
+       "      <td>0x09cabec1ead1c0ba254b09efb3ee13841712be14</td>\n",
+       "      <td>0x</td>\n",
+       "      <td>[0xcd60aa75dea3072fbc07ae6d7d856b5dc5f4eee88854f5b4abf7b680ef8bc50...</td>\n",
+       "      <td>2019-09-23 23:56:22+00:00</td>\n",
+       "      <td>8608513</td>\n",
+       "      <td>DAI</td>\n",
+       "      <td>TokenPurchase</td>\n",
+       "      <td>DAITokenPurchase</td>\n",
+       "      <td>860</td>\n",
+       "      <td>0xa2881a90bf33f03e7a3f803765cd2ed5c8928dfb</td>\n",
+       "      <td>324837579441249778</td>\n",
+       "      <td>-65148772191674267296</td>\n",
+       "      <td>0</td>\n",
+       "      <td>6306033015368245238058</td>\n",
+       "      <td>1268456444556868663822658</td>\n",
+       "      <td>5320135262833503868378</td>\n",
+       "      <td>7998928217932233884476665832482285067504318164</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>101486 rows × 20 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                                                           transactionHash  \\\n",
+       "0       0xbd773ccc33c831378f2aa2b7d4a9ae8a20ed9112ea9acb86ce96aa674c0cb5f9   \n",
+       "1       0xbd773ccc33c831378f2aa2b7d4a9ae8a20ed9112ea9acb86ce96aa674c0cb5f9   \n",
+       "2       0xd53f01fc0cabbf4083da93a023ddb81de91320027077849ac982f7bc04b49279   \n",
+       "3       0x53172898dbe437c784f7e4ac757087b28d1b06aa6b72b81d4a6bb2bead50c93e   \n",
+       "4       0x6cef57fd37d7a2602c1236ff080c61c37e10980c7e3bd66de6f4e0ed52f16011   \n",
+       "...                                                                    ...   \n",
+       "101481  0xe9286e3e23957063046d6299eca0a5c724a034a0566a78754f5f23613a4b0312   \n",
+       "101482  0x3f5265badf1846d559337e655faf03e643f36599aded1ea233b5eb6928219804   \n",
+       "101483  0x6f1ce2ac600b615a9a99729100cafb9e8c6a5b592b5c26de8be8a7998c4780ca   \n",
+       "101484  0xf7030ccc0e66e37b52b924a08dbd3a112641afa75d3c9f5206d4d1ac7d25af3b   \n",
+       "101485  0xf7030ccc0e66e37b52b924a08dbd3a112641afa75d3c9f5206d4d1ac7d25af3b   \n",
+       "\n",
+       "        transaction_index                          transaction_sender  \\\n",
+       "0                     150  0xf369af914dbed0ad7afdddebc631ee0fda1b4891   \n",
+       "1                     150  0xf369af914dbed0ad7afdddebc631ee0fda1b4891   \n",
+       "2                      97  0xf369af914dbed0ad7afdddebc631ee0fda1b4891   \n",
+       "3                      53  0xf369af914dbed0ad7afdddebc631ee0fda1b4891   \n",
+       "4                      24  0x11e4857bb9993a50c685a79afad4e6f65d518dda   \n",
+       "...                   ...                                         ...   \n",
+       "101481                 40  0x4b8673ca1b5c9f08cfffce527fec9173c35e27f3   \n",
+       "101482                 83  0x4b8673ca1b5c9f08cfffce527fec9173c35e27f3   \n",
+       "101483                108  0x23983ea2123d40eb5655dfff3f3c917c78f214f6   \n",
+       "101484                116  0x8a333c59eab0ad608f857a02c3702b910e24493b   \n",
+       "101485                116  0x8a333c59eab0ad608f857a02c3702b910e24493b   \n",
+       "\n",
+       "                                           address  \\\n",
+       "0       0x09cabec1ead1c0ba254b09efb3ee13841712be14   \n",
+       "1       0x09cabec1ead1c0ba254b09efb3ee13841712be14   \n",
+       "2       0x09cabec1ead1c0ba254b09efb3ee13841712be14   \n",
+       "3       0x09cabec1ead1c0ba254b09efb3ee13841712be14   \n",
+       "4       0x09cabec1ead1c0ba254b09efb3ee13841712be14   \n",
+       "...                                            ...   \n",
+       "101481  0x09cabec1ead1c0ba254b09efb3ee13841712be14   \n",
+       "101482  0x09cabec1ead1c0ba254b09efb3ee13841712be14   \n",
+       "101483  0x09cabec1ead1c0ba254b09efb3ee13841712be14   \n",
+       "101484  0x09cabec1ead1c0ba254b09efb3ee13841712be14   \n",
+       "101485  0x09cabec1ead1c0ba254b09efb3ee13841712be14   \n",
+       "\n",
+       "                                                                      data  \\\n",
+       "0                                                                       0x   \n",
+       "1       0x000000000000000000000000000000000000000000000001a055690d9db80000   \n",
+       "2                                                                       0x   \n",
+       "3                                                                       0x   \n",
+       "4                                                                       0x   \n",
+       "...                                                                    ...   \n",
+       "101481                                                                  0x   \n",
+       "101482                                                                  0x   \n",
+       "101483                                                                  0x   \n",
+       "101484                                                                  0x   \n",
+       "101485                                                                  0x   \n",
+       "\n",
+       "                                                                       topics  \\\n",
+       "0       [0x06239653922ac7bea6aa2b19dc486b9361821d37712eb796adfd38d81de278c...   \n",
+       "1       [0xddf252ad1be2c89b69c2b068fc378daa952ba7f163c4a11628f55a4df523b3e...   \n",
+       "2       [0x7f4091b46c33e918a0f3aa42307641d17bb67029427a5369e54b35398423870...   \n",
+       "3       [0x7f4091b46c33e918a0f3aa42307641d17bb67029427a5369e54b35398423870...   \n",
+       "4       [0xcd60aa75dea3072fbc07ae6d7d856b5dc5f4eee88854f5b4abf7b680ef8bc50...   \n",
+       "...                                                                       ...   \n",
+       "101481  [0x7f4091b46c33e918a0f3aa42307641d17bb67029427a5369e54b35398423870...   \n",
+       "101482  [0x7f4091b46c33e918a0f3aa42307641d17bb67029427a5369e54b35398423870...   \n",
+       "101483  [0xcd60aa75dea3072fbc07ae6d7d856b5dc5f4eee88854f5b4abf7b680ef8bc50...   \n",
+       "101484  [0xcd60aa75dea3072fbc07ae6d7d856b5dc5f4eee88854f5b4abf7b680ef8bc50...   \n",
+       "101485  [0xcd60aa75dea3072fbc07ae6d7d856b5dc5f4eee88854f5b4abf7b680ef8bc50...   \n",
+       "\n",
+       "                 block_timestamp  blockNumber_dec contract          event  \\\n",
+       "0      2018-11-02 10:27:36+00:00          6629139      DAI   AddLiquidity   \n",
+       "1      2018-11-02 10:27:36+00:00          6629139      DAI       Transfer   \n",
+       "2      2018-11-02 10:33:56+00:00          6629171      DAI    EthPurchase   \n",
+       "3      2018-11-02 10:35:47+00:00          6629177      DAI    EthPurchase   \n",
+       "4      2018-11-02 10:38:18+00:00          6629190      DAI  TokenPurchase   \n",
+       "...                          ...              ...      ...            ...   \n",
+       "101481 2019-09-23 23:37:04+00:00          8608422      DAI    EthPurchase   \n",
+       "101482 2019-09-23 23:45:05+00:00          8608464      DAI    EthPurchase   \n",
+       "101483 2019-09-23 23:52:48+00:00          8608502      DAI  TokenPurchase   \n",
+       "101484 2019-09-23 23:56:22+00:00          8608513      DAI  TokenPurchase   \n",
+       "101485 2019-09-23 23:56:22+00:00          8608513      DAI  TokenPurchase   \n",
+       "\n",
+       "          contract_event  block_group  \\\n",
+       "0        DAIAddLiquidity          662   \n",
+       "1            DAITransfer          662   \n",
+       "2         DAIEthPurchase          662   \n",
+       "3         DAIEthPurchase          662   \n",
+       "4       DAITokenPurchase          662   \n",
+       "...                  ...          ...   \n",
+       "101481    DAIEthPurchase          860   \n",
+       "101482    DAIEthPurchase          860   \n",
+       "101483  DAITokenPurchase          860   \n",
+       "101484  DAITokenPurchase          860   \n",
+       "101485  DAITokenPurchase          860   \n",
+       "\n",
+       "                                             agent             eth_delta  \\\n",
+       "0       0xf369af914dbed0ad7afdddebc631ee0fda1b4891  30000000000000000000   \n",
+       "1       0x0000000000000000000000000000000000000000                     0   \n",
+       "2       0xf369af914dbed0ad7afdddebc631ee0fda1b4891    -25326059253325791   \n",
+       "3       0xf369af914dbed0ad7afdddebc631ee0fda1b4891    -10118429075406013   \n",
+       "4       0x11e4857bb9993a50c685a79afad4e6f65d518dda     10000000000000000   \n",
+       "...                                            ...                   ...   \n",
+       "101481  0x4b8673ca1b5c9f08cfffce527fec9173c35e27f3   -198016436809685891   \n",
+       "101482  0x4b8673ca1b5c9f08cfffce527fec9173c35e27f3   -123753942543874669   \n",
+       "101483  0x23983ea2123d40eb5655dfff3f3c917c78f214f6   3761852803869270000   \n",
+       "101484  0xa2881a90bf33f03e7a3f803765cd2ed5c8928dfb     22537050091283742   \n",
+       "101485  0xa2881a90bf33f03e7a3f803765cd2ed5c8928dfb    324837579441249778   \n",
+       "\n",
+       "                   token_delta             uni_delta             eth_balance  \\\n",
+       "0       5900000000000000000000                     0    30000000000000000000   \n",
+       "1                            0  30000000000000000000    30000000000000000000   \n",
+       "2          5000000000000000000                     0    29974673940746674209   \n",
+       "3          2000000000000000000                     0    29964555511671268196   \n",
+       "4         -1964761376358359468                     0    29974555511671268196   \n",
+       "...                        ...                   ...                     ...   \n",
+       "101481    40000000000000000000                     0  6302047541877387309207   \n",
+       "101482    25000000000000000000                     0  6301923787934843434538   \n",
+       "101483  -754958783191617305007                     0  6305685640738712704538   \n",
+       "101484    -4519736539681249391                     0  6305708177788803988280   \n",
+       "101485   -65148772191674267296                     0  6306033015368245238058   \n",
+       "\n",
+       "                    token_balance              UNI_supply  \\\n",
+       "0          5900000000000000000000                       0   \n",
+       "1          5900000000000000000000    30000000000000000000   \n",
+       "2          5905000000000000000000    30000000000000000000   \n",
+       "3          5907000000000000000000    30000000000000000000   \n",
+       "4          5905035238623641640532    30000000000000000000   \n",
+       "...                           ...                     ...   \n",
+       "101481  1269256071848791636644352  5320135262833503868378   \n",
+       "101482  1269281071848791636644352  5320135262833503868378   \n",
+       "101483  1268526113065600019339345  5320135262833503868378   \n",
+       "101484  1268521593329060338089954  5320135262833503868378   \n",
+       "101485  1268456444556868663822658  5320135262833503868378   \n",
+       "\n",
+       "                                             invariant  \n",
+       "0           177000000000000000000000000000000000000000  \n",
+       "1           177000000000000000000000000000000000000000  \n",
+       "2           177000449620109111204145000000000000000000  \n",
+       "3           177000629407442181233772000000000000000000  \n",
+       "4           177000806558499339943044863018842396120272  \n",
+       "...                                                ...  \n",
+       "101481  7998912107607625827109961968988225660114148864  \n",
+       "101482  7998912580259335158776901047006760160899429376  \n",
+       "101483  7998926896059846775691596222003712648943447610  \n",
+       "101484  7998926984756739317657470536463978912601739120  \n",
+       "101485  7998928217932233884476665832482285067504318164  \n",
+       "\n",
+       "[101486 rows x 20 columns]"
+      ]
+     },
+     "execution_count": 10,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "uniswap_events = pd.read_pickle('uniswap_events.pickle')\n",
+    "uniswap_events"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Policy function - user action\n",
+    "In this simplified model of Uniswap, we have not modeled user behavior. Instead, we map events to actions."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 11,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def actionDecoder(params, step, history, current_state):\n",
+    "    \n",
+    "    prev_timestep = current_state['timestep']\n",
+    "    if step > 1:\n",
+    "        prev_timestep -= 1\n",
+    "        \n",
+    "    #skip the first two events, as they are already accounted for in the initial conditions of the system\n",
+    "    data_counter = prev_timestep + 2 \n",
+    "    \n",
+    "    action = {\n",
+    "        'eth_sold': 0,\n",
+    "        'tokens_sold': 0,\n",
+    "        'eth_deposit': 0,\n",
+    "        'UNI_burn': 0,        \n",
+    "    }\n",
+    "    \n",
+    "    event = uniswap_events['event'][data_counter]\n",
+    "    \n",
+    "    action['action_id'] = event\n",
+    "    \n",
+    "    if event == 'TokenPurchase':\n",
+    "        action['eth_sold'] = uniswap_events['eth_delta'][data_counter]\n",
+    "    elif event == 'EthPurchase':\n",
+    "        action['tokens_sold'] = uniswap_events['token_delta'][data_counter]\n",
+    "    elif event == 'AddLiquidity':\n",
+    "        action['eth_deposit'] = uniswap_events['eth_delta'][data_counter]\n",
+    "    elif event == 'Transfer':\n",
+    "        UNI_delta = uniswap_events['uni_delta'][data_counter]\n",
+    "        if UNI_delta < 0:\n",
+    "            action['UNI_burn'] = -UNI_delta\n",
+    "\n",
+    "    return action"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Partial state update blocks\n",
+    "Now that we have mapped the events in the history dataset to user action in our model, we need a \"hub\" state update function for each one of the state variables. The hub checks the action being performed and calls the corresponding state update function of the mechanism"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 12,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def mechanismHub_DAI(params, step, history, current_state, input_):\n",
+    "    action = input_['action_id']\n",
+    "    if action == 'TokenPurchase':\n",
+    "        return ethToToken_DAI(params, step, history, current_state, input_)\n",
+    "    elif action == 'EthPurchase':\n",
+    "        return tokenToEth_DAI(params, step, history, current_state, input_)\n",
+    "    elif action == 'AddLiquidity':\n",
+    "        return addLiquidity_DAI(params, step, history, current_state, input_)\n",
+    "    elif action == 'Transfer':\n",
+    "        return removeLiquidity_DAI(params, step, history, current_state, input_)\n",
+    "    return('DAI_balance', current_state['DAI_balance'])\n",
+    "    \n",
+    "def mechanismHub_ETH(params, step, history, current_state, input_):\n",
+    "    action = input_['action_id']\n",
+    "    if action == 'TokenPurchase':\n",
+    "        return ethToToken_ETH(params, step, history, current_state, input_)\n",
+    "    elif action == 'EthPurchase':\n",
+    "        return tokenToEth_ETH(params, step, history, current_state, input_)\n",
+    "    elif action == 'AddLiquidity':\n",
+    "        return addLiquidity_ETH(params, step, history, current_state, input_)\n",
+    "    elif action == 'Transfer':\n",
+    "        return removeLiquidity_ETH(params, step, history, current_state, input_)\n",
+    "    return('ETH_balance', current_state['ETH_balance'])\n",
+    "\n",
+    "def mechanismHub_UNI(params, step, history, current_state, input_):\n",
+    "    action = input_['action_id']\n",
+    "    if action == 'AddLiquidity':\n",
+    "        return addLiquidity_UNI(params, step, history, current_state, input_)\n",
+    "    elif action == 'Transfer':\n",
+    "        return removeLiquidity_UNI(params, step, history, current_state, input_)\n",
+    "    return('UNI_supply', current_state['UNI_supply'])\n",
+    "    "
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Finally, we define the list of Partial State Update Blocks - in this case, a single PSUB"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 13,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "PSUBs = [\n",
+    "    {\n",
+    "        'policies': {\n",
+    "            'user_action': actionDecoder\n",
+    "        },\n",
+    "        'variables': {\n",
+    "            'DAI_balance': mechanismHub_DAI,\n",
+    "            'ETH_balance': mechanismHub_ETH,\n",
+    "            'UNI_supply': mechanismHub_UNI\n",
+    "        }\n",
+    "    }\n",
+    "]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 14,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\n",
+      "                  ___________    ____\n",
+      "  ________ __ ___/ / ____/   |  / __ \\\n",
+      " / ___/ __` / __  / /   / /| | / / / /\n",
+      "/ /__/ /_/ / /_/ / /___/ ___ |/ /_/ /\n",
+      "\\___/\\__,_/\\__,_/\\____/_/  |_/_____/\n",
+      "by cadCAD\n",
+      "\n",
+      "Execution Mode: local_proc\n",
+      "Configuration Count: 2\n",
+      "Dimensions of the first simulation: (Timesteps, Params, Runs, Vars) = (101484, 2, 1, 3)\n"
+     ]
+    },
+    {
+     "data": {
+      "application/vnd.jupyter.widget-view+json": {
+       "model_id": "601a3fa05346496090aa41def93342c4",
+       "version_major": 2,
+       "version_minor": 0
+      },
+      "text/plain": [
+       "HBox(children=(FloatProgress(value=0.0, description='Initializing configurations', max=2.0, style=ProgressStyl…"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\n",
+      "Execution Method: local_simulations\n",
+      "SimIDs   : [0, 0]\n",
+      "SubsetIDs: [0, 0]\n",
+      "Ns       : [0, 0]\n",
+      "ExpIDs   : [0, 0]\n",
+      "Execution Mode: parallelized\n"
+     ]
+    },
+    {
+     "data": {
+      "application/vnd.jupyter.widget-view+json": {
+       "model_id": "483f3be91bdb497389df07a548a9178c",
+       "version_major": 2,
+       "version_minor": 0
+      },
+      "text/plain": [
+       "HBox(children=(FloatProgress(value=0.0, description='Executing PSUBs', max=2.0, style=ProgressStyle(descriptio…"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\n"
+     ]
+    },
+    {
+     "data": {
+      "application/vnd.jupyter.widget-view+json": {
+       "model_id": "3883ad8929764306831e54ca627ff112",
+       "version_major": 2,
+       "version_minor": 0
+      },
+      "text/plain": [
+       "HBox(children=(FloatProgress(value=0.0, description='Flattening results', max=2.0, style=ProgressStyle(descrip…"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\n",
+      "Total execution time: 24.70s\n"
+     ]
+    }
+   ],
+   "source": [
+    "from cadCAD.configuration import Experiment\n",
+    "from cadCAD.configuration.utils import config_sim\n",
+    "\n",
+    "# the number of timesteps in our simulation is the length of the events dataset minus the first two events\n",
+    "# as they are already accounted for in the initial conditions of the system\n",
+    "sim_config = config_sim (\n",
+    "    {\n",
+    "        'T': range(len(uniswap_events)-2),\n",
+    "        'N': 1,\n",
+    "        'M': params\n",
+    "    }\n",
+    ")\n",
+    "\n",
+    "exp = Experiment()\n",
+    "\n",
+    "exp.append_configs(\n",
+    "    sim_configs=sim_config,\n",
+    "    initial_state=state,\n",
+    "    partial_state_update_blocks=PSUBs\n",
+    ")\n",
+    "\n",
+    "from cadCAD import configs\n",
+    "from cadCAD.engine import ExecutionMode, ExecutionContext, Executor\n",
+    "exec_mode = ExecutionMode()\n",
+    "exec_context = ExecutionContext(exec_mode.local_mode)\n",
+    "executor = Executor(exec_context, 2 * configs)\n",
+    "raw_result, tensor, _ = executor.execute()\n",
+    "\n",
+    "df = pd.DataFrame(raw_result).query('run == 1')"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "_____________"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## ANALYSIS"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 15,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "model_history = df[['DAI_balance', 'ETH_balance', 'UNI_supply']]\n",
+    "model_history.columns = ['model_DAI_balance', 'model_ETH_balance', 'model_UNI_supply']"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 16,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "real_history = uniswap_events.iloc[1:][['token_balance','eth_balance','UNI_supply']].reset_index(drop=True)\n",
+    "real_history.columns = ['real_DAI_balance', 'real_ETH_balance', 'real_UNI_supply']"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Despite the simplifications, the outputs of the model are very similar to the real data"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 17,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<matplotlib.axes._subplots.AxesSubplot at 0x7fb0886e28d0>"
+      ]
+     },
+     "execution_count": 17,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 1080x360 with 3 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "import matplotlib.pyplot as plt\n",
+    "plt.figure(figsize=(15,5))\n",
+    "ax = plt.subplot(131)\n",
+    "model_history.astype(float).plot(ax=ax, y=['model_ETH_balance'])\n",
+    "real_history.astype(float).plot(ax=ax, y=['real_ETH_balance'])\n",
+    "ax = plt.subplot(132)\n",
+    "model_history.astype(float).plot(ax=ax, y=['model_DAI_balance'])\n",
+    "real_history.astype(float).plot(ax=ax, y=['real_DAI_balance'])\n",
+    "ax = plt.subplot(133)\n",
+    "model_history.astype(float).plot(ax=ax, y=['model_UNI_supply'])\n",
+    "real_history.astype(float).plot(ax=ax, y=['real_UNI_supply'])"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Only if we look much more closely can we see some deviation"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 18,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>model_DAI_balance</th>\n",
+       "      <th>model_ETH_balance</th>\n",
+       "      <th>model_UNI_supply</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>202969</th>\n",
+       "      <td>1268445487370480899199906</td>\n",
+       "      <td>6306058808358170889735</td>\n",
+       "      <td>5320123300661846672003</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                model_DAI_balance       model_ETH_balance  \\\n",
+       "202969  1268445487370480899199906  6306058808358170889735   \n",
+       "\n",
+       "              model_UNI_supply  \n",
+       "202969  5320123300661846672003  "
+      ]
+     },
+     "execution_count": 18,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "model_history.tail(1)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 19,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>real_DAI_balance</th>\n",
+       "      <th>real_ETH_balance</th>\n",
+       "      <th>real_UNI_supply</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>101484</th>\n",
+       "      <td>1268456444556868663822658</td>\n",
+       "      <td>6306033015368245238058</td>\n",
+       "      <td>5320135262833503868378</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                 real_DAI_balance        real_ETH_balance  \\\n",
+       "101484  1268456444556868663822658  6306033015368245238058   \n",
+       "\n",
+       "               real_UNI_supply  \n",
+       "101484  5320135262833503868378  "
+      ]
+     },
+     "execution_count": 19,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "real_history.tail(1)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 20,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "0.9999913617953263"
+      ]
+     },
+     "execution_count": 20,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "model_history.iloc[-1]['model_DAI_balance']/real_history.iloc[-1]['real_DAI_balance']"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 21,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "1.0000040902085134"
+      ]
+     },
+     "execution_count": 21,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "model_history.iloc[-1]['model_ETH_balance']/real_history.iloc[-1]['real_ETH_balance']"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 22,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "0.9999977515286612"
+      ]
+     },
+     "execution_count": 22,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "model_history.iloc[-1]['model_UNI_supply']/real_history.iloc[-1]['real_UNI_supply']"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "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": "3.7.6"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 4
+}
diff --git a/demos/uniswap/uniswap-ethdai-exchange.ipynb b/demos/uniswap/uniswap-ethdai-exchange.ipynb
new file mode 100644
index 0000000..286b2ed
--- /dev/null
+++ b/demos/uniswap/uniswap-ethdai-exchange.ipynb
@@ -0,0 +1,314862 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "This notebook was made in Kaggle"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {
+    "_uuid": "20fc9de233adb0789eef9ab7ac4978977beaa0c2"
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "{'0x09cabec1ead1c0ba254b09efb3ee13841712be14': 'DAI'}"
+      ]
+     },
+     "execution_count": 1,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "FROM_BLOCK_TIMESTAMP = \"'2018-11-02 00:00:00'\" # deploy\n",
+    "# FROM_BLOCK_TIMESTAMP = \"'2019-08-25 23:59:59'\" # test\n",
+    "TO_BLOCK_TIMESTAMP = \"'2019-09-23 23:59:59'\" \n",
+    "# TO_BLOCK_TIMESTAMP = \"'2018-12-30 00:00:00'\" #test\n",
+    "MY_TIMEOUT = 300\n",
+    "\n",
+    "# relevant Events signatures\n",
+    "\n",
+    "events_signatures = {\n",
+    "    'TokenPurchase': 'TokenPurchase(address,uint256,uint256)', #event({buyer: indexed(address), eth_sold: indexed(uint256(wei)), tokens_bought: indexed(uint256)})\n",
+    "    'EthPurchase': 'EthPurchase(address,uint256,uint256',#,event({buyer: indexed(address), tokens_sold: indexed(uint256), eth_bought: indexed(uint256(wei))})\n",
+    "    'AddLiquidity': 'AddLiquidity(address,uint256,uint256)',#,event({provider: indexed(address), eth_amount: indexed(uint256(wei)), token_amount: indexed(uint256)})\n",
+    "    'RemoveLiquidity': 'RemoveLiquidity(address,uint256,uint256)',#,event({provider: indexed(address), eth_amount: indexed(uint256(wei)), token_amount: indexed(uint256)})\n",
+    "    'Transfer': 'Transfer(address,address,uint256)',#,event({_from: indexed(address), _to: indexed(address), _value: uint256})\n",
+    "    'Approval': 'Approval(address,address,uint256)'#,event({_owner: indexed(address), _spender: indexed(address), _value: uint256})\n",
+    "}\n",
+    "events_hashes = {\n",
+    "    'cd60aa75dea3072fbc07ae6d7d856b5dc5f4eee88854f5b4abf7b680ef8bc50f': 'TokenPurchase',\n",
+    "    '7f4091b46c33e918a0f3aa42307641d17bb67029427a5369e54b353984238705': 'EthPurchase',\n",
+    "    '06239653922ac7bea6aa2b19dc486b9361821d37712eb796adfd38d81de278ca': 'AddLiquidity',\n",
+    "    '0fbf06c058b90cb038a618f8c2acbf6145f8b3570fd1fa56abb8f0f3f05b36e8': 'RemoveLiquidity',\n",
+    "    'ddf252ad1be2c89b69c2b068fc378daa952ba7f163c4a11628f55a4df523b3ef': 'Transfer',\n",
+    "    '8c5be1e5ebec7d5bd14f71427d1e84f3dd0314c0f7b2291e5b200ac8c7c3b925': 'Approval'\n",
+    "}\n",
+    "contracts = {\n",
+    "    '0x09cabEC1eAd1c0Ba254B09efb3EE13841712bE14'.lower(): 'DAI'\n",
+    "}\n",
+    "contracts"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "_uuid": "869ba1ebf9baba614dabe45950b6251c8e16505f"
+   },
+   "source": [
+    "> # Uniswap ETHDAI Analysis"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {
+    "_uuid": "5a5b909fdfec539bc9b7095d9ba6104236b59944"
+   },
+   "outputs": [],
+   "source": [
+    "from google.cloud import bigquery\n",
+    "import pandas as pd\n",
+    "import matplotlib.pyplot as plt\n",
+    "%matplotlib inline\n",
+    "pd.set_option('max_colwidth', 70)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {
+    "_uuid": "92f57554e4f29610c1a11b828d0024c3a73dfe37"
+   },
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/home/danlessa/.anaconda3/lib/python3.7/site-packages/google/auth/_default.py:69: UserWarning: Your application has authenticated using end user credentials from Google Cloud SDK without a quota project. You might receive a \"quota exceeded\" or \"API not enabled\" error. We recommend you rerun `gcloud auth application-default login` and make sure a quota project is added. Or you can use service accounts instead. For more information about service accounts, see https://cloud.google.com/docs/authentication/\n",
+      "  warnings.warn(_CLOUD_SDK_CREDENTIALS_WARNING)\n",
+      "/home/danlessa/.anaconda3/lib/python3.7/site-packages/google/auth/_default.py:69: UserWarning: Your application has authenticated using end user credentials from Google Cloud SDK without a quota project. You might receive a \"quota exceeded\" or \"API not enabled\" error. We recommend you rerun `gcloud auth application-default login` and make sure a quota project is added. Or you can use service accounts instead. For more information about service accounts, see https://cloud.google.com/docs/authentication/\n",
+      "  warnings.warn(_CLOUD_SDK_CREDENTIALS_WARNING)\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\n",
+      "SELECT \n",
+      "  events.transaction_hash AS transactionHash,\n",
+      "  events.transaction_index,\n",
+      "  txns.from_address AS transaction_sender, \n",
+      "  events.address,\n",
+      "  events.data,\n",
+      "  events.topics,\n",
+      "  events.block_timestamp,\n",
+      "  events.block_number AS blockNumber_dec\n",
+      "FROM\n",
+      "  `bigquery-public-data.ethereum_blockchain.logs` AS events\n",
+      "INNER JOIN\n",
+      "  `bigquery-public-data.ethereum_blockchain.transactions` AS txns\n",
+      "ON\n",
+      "  events.transaction_hash = txns.hash\n",
+      "WHERE TRUE\n",
+      "  AND events.block_timestamp >= '2018-11-02 00:00:00' \n",
+      "  AND events.block_timestamp <= '2019-09-23 23:59:59'\n",
+      "  AND txns.block_timestamp >= '2018-11-02 00:00:00' --might seem redundant, but because of partitioning this reduces cost\n",
+      "  AND txns.block_timestamp <= '2019-09-23 23:59:59' --might seem redundant, but because of partitioning this reduces cost\n",
+      "  AND events.address IN ('0x09cabec1ead1c0ba254b09efb3ee13841712be14')\n",
+      "\n"
+     ]
+    },
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>transactionHash</th>\n",
+       "      <th>transaction_index</th>\n",
+       "      <th>transaction_sender</th>\n",
+       "      <th>address</th>\n",
+       "      <th>data</th>\n",
+       "      <th>topics</th>\n",
+       "      <th>block_timestamp</th>\n",
+       "      <th>blockNumber_dec</th>\n",
+       "      <th>contract</th>\n",
+       "      <th>event</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>0xbd773ccc33c831378f2aa2b7d4a9ae8a20ed9112ea9acb86ce96aa674c0cb5f9</td>\n",
+       "      <td>150</td>\n",
+       "      <td>0xf369af914dbed0ad7afdddebc631ee0fda1b4891</td>\n",
+       "      <td>0x09cabec1ead1c0ba254b09efb3ee13841712be14</td>\n",
+       "      <td>0x</td>\n",
+       "      <td>[0x06239653922ac7bea6aa2b19dc486b9361821d37712eb796adfd38d81de278c...</td>\n",
+       "      <td>2018-11-02 10:27:36+00:00</td>\n",
+       "      <td>6629139</td>\n",
+       "      <td>DAI</td>\n",
+       "      <td>AddLiquidity</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>0xbd773ccc33c831378f2aa2b7d4a9ae8a20ed9112ea9acb86ce96aa674c0cb5f9</td>\n",
+       "      <td>150</td>\n",
+       "      <td>0xf369af914dbed0ad7afdddebc631ee0fda1b4891</td>\n",
+       "      <td>0x09cabec1ead1c0ba254b09efb3ee13841712be14</td>\n",
+       "      <td>0x000000000000000000000000000000000000000000000001a055690d9db80000</td>\n",
+       "      <td>[0xddf252ad1be2c89b69c2b068fc378daa952ba7f163c4a11628f55a4df523b3e...</td>\n",
+       "      <td>2018-11-02 10:27:36+00:00</td>\n",
+       "      <td>6629139</td>\n",
+       "      <td>DAI</td>\n",
+       "      <td>Transfer</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>0xd53f01fc0cabbf4083da93a023ddb81de91320027077849ac982f7bc04b49279</td>\n",
+       "      <td>97</td>\n",
+       "      <td>0xf369af914dbed0ad7afdddebc631ee0fda1b4891</td>\n",
+       "      <td>0x09cabec1ead1c0ba254b09efb3ee13841712be14</td>\n",
+       "      <td>0x</td>\n",
+       "      <td>[0x7f4091b46c33e918a0f3aa42307641d17bb67029427a5369e54b35398423870...</td>\n",
+       "      <td>2018-11-02 10:33:56+00:00</td>\n",
+       "      <td>6629171</td>\n",
+       "      <td>DAI</td>\n",
+       "      <td>EthPurchase</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>0x53172898dbe437c784f7e4ac757087b28d1b06aa6b72b81d4a6bb2bead50c93e</td>\n",
+       "      <td>53</td>\n",
+       "      <td>0xf369af914dbed0ad7afdddebc631ee0fda1b4891</td>\n",
+       "      <td>0x09cabec1ead1c0ba254b09efb3ee13841712be14</td>\n",
+       "      <td>0x</td>\n",
+       "      <td>[0x7f4091b46c33e918a0f3aa42307641d17bb67029427a5369e54b35398423870...</td>\n",
+       "      <td>2018-11-02 10:35:47+00:00</td>\n",
+       "      <td>6629177</td>\n",
+       "      <td>DAI</td>\n",
+       "      <td>EthPurchase</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>0x6cef57fd37d7a2602c1236ff080c61c37e10980c7e3bd66de6f4e0ed52f16011</td>\n",
+       "      <td>24</td>\n",
+       "      <td>0x11e4857bb9993a50c685a79afad4e6f65d518dda</td>\n",
+       "      <td>0x09cabec1ead1c0ba254b09efb3ee13841712be14</td>\n",
+       "      <td>0x</td>\n",
+       "      <td>[0xcd60aa75dea3072fbc07ae6d7d856b5dc5f4eee88854f5b4abf7b680ef8bc50...</td>\n",
+       "      <td>2018-11-02 10:38:18+00:00</td>\n",
+       "      <td>6629190</td>\n",
+       "      <td>DAI</td>\n",
+       "      <td>TokenPurchase</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>5</th>\n",
+       "      <td>0x13d958222cbec3f6ae93e8f73af0f6ce800541db27a048258ac0645fc37e627e</td>\n",
+       "      <td>281</td>\n",
+       "      <td>0x11e4857bb9993a50c685a79afad4e6f65d518dda</td>\n",
+       "      <td>0x09cabec1ead1c0ba254b09efb3ee13841712be14</td>\n",
+       "      <td>0x</td>\n",
+       "      <td>[0xcd60aa75dea3072fbc07ae6d7d856b5dc5f4eee88854f5b4abf7b680ef8bc50...</td>\n",
+       "      <td>2018-11-02 10:39:55+00:00</td>\n",
+       "      <td>6629198</td>\n",
+       "      <td>DAI</td>\n",
+       "      <td>TokenPurchase</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>6</th>\n",
+       "      <td>0x51f662378a5e158bece87f19c5537fe69805e7163fe409f782000a66b0a44582</td>\n",
+       "      <td>121</td>\n",
+       "      <td>0x4defa30195094963cfac7285d8d6e6e523c7f90d</td>\n",
+       "      <td>0x09cabec1ead1c0ba254b09efb3ee13841712be14</td>\n",
+       "      <td>0x</td>\n",
+       "      <td>[0xcd60aa75dea3072fbc07ae6d7d856b5dc5f4eee88854f5b4abf7b680ef8bc50...</td>\n",
+       "      <td>2018-11-02 11:02:14+00:00</td>\n",
+       "      <td>6629301</td>\n",
+       "      <td>DAI</td>\n",
+       "      <td>TokenPurchase</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>7</th>\n",
+       "      <td>0x31f62df00bd7be033d6e4c959dfc7f596c2ec0902cda9d87c3b9c35a032b817d</td>\n",
+       "      <td>51</td>\n",
+       "      <td>0x4defa30195094963cfac7285d8d6e6e523c7f90d</td>\n",
+       "      <td>0x09cabec1ead1c0ba254b09efb3ee13841712be14</td>\n",
+       "      <td>0x</td>\n",
+       "      <td>[0x06239653922ac7bea6aa2b19dc486b9361821d37712eb796adfd38d81de278c...</td>\n",
+       "      <td>2018-11-02 11:04:09+00:00</td>\n",
+       "      <td>6629306</td>\n",
+       "      <td>DAI</td>\n",
+       "      <td>AddLiquidity</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>8</th>\n",
+       "      <td>0x31f62df00bd7be033d6e4c959dfc7f596c2ec0902cda9d87c3b9c35a032b817d</td>\n",
+       "      <td>51</td>\n",
+       "      <td>0x4defa30195094963cfac7285d8d6e6e523c7f90d</td>\n",
+       "      <td>0x09cabec1ead1c0ba254b09efb3ee13841712be14</td>\n",
+       "      <td>0x000000000000000000000000000000000000000000000000002250f2cdb2da75</td>\n",
+       "      <td>[0xddf252ad1be2c89b69c2b068fc378daa952ba7f163c4a11628f55a4df523b3e...</td>\n",
+       "      <td>2018-11-02 11:04:09+00:00</td>\n",
+       "      <td>6629306</td>\n",
+       "      <td>DAI</td>\n",
+       "      <td>Transfer</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>9</th>\n",
+       "      <td>0x865a3da7b390858ca91fc5b89885ec8e61115b8817442161b6d4b1afefefcdab</td>\n",
+       "      <td>7</td>\n",
+       "      <td>0x11e4857bb9993a50c685a79afad4e6f65d518dda</td>\n",
+       "      <td>0x09cabec1ead1c0ba254b09efb3ee13841712be14</td>\n",
+       "      <td>0x</td>\n",
+       "      <td>[0xcd60aa75dea3072fbc07ae6d7d856b5dc5f4eee88854f5b4abf7b680ef8bc50...</td>\n",
+       "      <td>2018-11-02 11:17:38+00:00</td>\n",
+       "      <td>6629362</td>\n",
+       "      <td>DAI</td>\n",
+       "      <td>TokenPurchase</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                                                      transactionHash  \\\n",
+       "0  0xbd773ccc33c831378f2aa2b7d4a9ae8a20ed9112ea9acb86ce96aa674c0cb5f9   \n",
+       "1  0xbd773ccc33c831378f2aa2b7d4a9ae8a20ed9112ea9acb86ce96aa674c0cb5f9   \n",
+       "2  0xd53f01fc0cabbf4083da93a023ddb81de91320027077849ac982f7bc04b49279   \n",
+       "3  0x53172898dbe437c784f7e4ac757087b28d1b06aa6b72b81d4a6bb2bead50c93e   \n",
+       "4  0x6cef57fd37d7a2602c1236ff080c61c37e10980c7e3bd66de6f4e0ed52f16011   \n",
+       "5  0x13d958222cbec3f6ae93e8f73af0f6ce800541db27a048258ac0645fc37e627e   \n",
+       "6  0x51f662378a5e158bece87f19c5537fe69805e7163fe409f782000a66b0a44582   \n",
+       "7  0x31f62df00bd7be033d6e4c959dfc7f596c2ec0902cda9d87c3b9c35a032b817d   \n",
+       "8  0x31f62df00bd7be033d6e4c959dfc7f596c2ec0902cda9d87c3b9c35a032b817d   \n",
+       "9  0x865a3da7b390858ca91fc5b89885ec8e61115b8817442161b6d4b1afefefcdab   \n",
+       "\n",
+       "   transaction_index                          transaction_sender  \\\n",
+       "0                150  0xf369af914dbed0ad7afdddebc631ee0fda1b4891   \n",
+       "1                150  0xf369af914dbed0ad7afdddebc631ee0fda1b4891   \n",
+       "2                 97  0xf369af914dbed0ad7afdddebc631ee0fda1b4891   \n",
+       "3                 53  0xf369af914dbed0ad7afdddebc631ee0fda1b4891   \n",
+       "4                 24  0x11e4857bb9993a50c685a79afad4e6f65d518dda   \n",
+       "5                281  0x11e4857bb9993a50c685a79afad4e6f65d518dda   \n",
+       "6                121  0x4defa30195094963cfac7285d8d6e6e523c7f90d   \n",
+       "7                 51  0x4defa30195094963cfac7285d8d6e6e523c7f90d   \n",
+       "8                 51  0x4defa30195094963cfac7285d8d6e6e523c7f90d   \n",
+       "9                  7  0x11e4857bb9993a50c685a79afad4e6f65d518dda   \n",
+       "\n",
+       "                                      address  \\\n",
+       "0  0x09cabec1ead1c0ba254b09efb3ee13841712be14   \n",
+       "1  0x09cabec1ead1c0ba254b09efb3ee13841712be14   \n",
+       "2  0x09cabec1ead1c0ba254b09efb3ee13841712be14   \n",
+       "3  0x09cabec1ead1c0ba254b09efb3ee13841712be14   \n",
+       "4  0x09cabec1ead1c0ba254b09efb3ee13841712be14   \n",
+       "5  0x09cabec1ead1c0ba254b09efb3ee13841712be14   \n",
+       "6  0x09cabec1ead1c0ba254b09efb3ee13841712be14   \n",
+       "7  0x09cabec1ead1c0ba254b09efb3ee13841712be14   \n",
+       "8  0x09cabec1ead1c0ba254b09efb3ee13841712be14   \n",
+       "9  0x09cabec1ead1c0ba254b09efb3ee13841712be14   \n",
+       "\n",
+       "                                                                 data  \\\n",
+       "0                                                                  0x   \n",
+       "1  0x000000000000000000000000000000000000000000000001a055690d9db80000   \n",
+       "2                                                                  0x   \n",
+       "3                                                                  0x   \n",
+       "4                                                                  0x   \n",
+       "5                                                                  0x   \n",
+       "6                                                                  0x   \n",
+       "7                                                                  0x   \n",
+       "8  0x000000000000000000000000000000000000000000000000002250f2cdb2da75   \n",
+       "9                                                                  0x   \n",
+       "\n",
+       "                                                                  topics  \\\n",
+       "0  [0x06239653922ac7bea6aa2b19dc486b9361821d37712eb796adfd38d81de278c...   \n",
+       "1  [0xddf252ad1be2c89b69c2b068fc378daa952ba7f163c4a11628f55a4df523b3e...   \n",
+       "2  [0x7f4091b46c33e918a0f3aa42307641d17bb67029427a5369e54b35398423870...   \n",
+       "3  [0x7f4091b46c33e918a0f3aa42307641d17bb67029427a5369e54b35398423870...   \n",
+       "4  [0xcd60aa75dea3072fbc07ae6d7d856b5dc5f4eee88854f5b4abf7b680ef8bc50...   \n",
+       "5  [0xcd60aa75dea3072fbc07ae6d7d856b5dc5f4eee88854f5b4abf7b680ef8bc50...   \n",
+       "6  [0xcd60aa75dea3072fbc07ae6d7d856b5dc5f4eee88854f5b4abf7b680ef8bc50...   \n",
+       "7  [0x06239653922ac7bea6aa2b19dc486b9361821d37712eb796adfd38d81de278c...   \n",
+       "8  [0xddf252ad1be2c89b69c2b068fc378daa952ba7f163c4a11628f55a4df523b3e...   \n",
+       "9  [0xcd60aa75dea3072fbc07ae6d7d856b5dc5f4eee88854f5b4abf7b680ef8bc50...   \n",
+       "\n",
+       "            block_timestamp  blockNumber_dec contract          event  \n",
+       "0 2018-11-02 10:27:36+00:00          6629139      DAI   AddLiquidity  \n",
+       "1 2018-11-02 10:27:36+00:00          6629139      DAI       Transfer  \n",
+       "2 2018-11-02 10:33:56+00:00          6629171      DAI    EthPurchase  \n",
+       "3 2018-11-02 10:35:47+00:00          6629177      DAI    EthPurchase  \n",
+       "4 2018-11-02 10:38:18+00:00          6629190      DAI  TokenPurchase  \n",
+       "5 2018-11-02 10:39:55+00:00          6629198      DAI  TokenPurchase  \n",
+       "6 2018-11-02 11:02:14+00:00          6629301      DAI  TokenPurchase  \n",
+       "7 2018-11-02 11:04:09+00:00          6629306      DAI   AddLiquidity  \n",
+       "8 2018-11-02 11:04:09+00:00          6629306      DAI       Transfer  \n",
+       "9 2018-11-02 11:17:38+00:00          6629362      DAI  TokenPurchase  "
+      ]
+     },
+     "execution_count": 3,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "#events = pd.read_pickle('ck-data/events_4605167-to-5374870.pickle.gz')\n",
+    "client = bigquery.Client()\n",
+    "query = \"\"\"\n",
+    "SELECT \n",
+    "  events.transaction_hash AS transactionHash,\n",
+    "  events.transaction_index,\n",
+    "  txns.from_address AS transaction_sender, \n",
+    "  events.address,\n",
+    "  events.data,\n",
+    "  events.topics,\n",
+    "  events.block_timestamp,\n",
+    "  events.block_number AS blockNumber_dec\n",
+    "FROM\n",
+    "  `bigquery-public-data.ethereum_blockchain.logs` AS events\n",
+    "INNER JOIN\n",
+    "  `bigquery-public-data.ethereum_blockchain.transactions` AS txns\n",
+    "ON\n",
+    "  events.transaction_hash = txns.hash\n",
+    "WHERE TRUE\n",
+    "  AND events.block_timestamp >= {from_block_ts} \n",
+    "  AND events.block_timestamp <= {to_block_ts}\n",
+    "  AND txns.block_timestamp >= {from_block_ts} --might seem redundant, but because of partitioning this reduces cost\n",
+    "  AND txns.block_timestamp <= {to_block_ts} --might seem redundant, but because of partitioning this reduces cost\n",
+    "  AND events.address IN ({contract_list})\n",
+    "\"\"\".format(\n",
+    "    from_block_ts=FROM_BLOCK_TIMESTAMP, \n",
+    "    to_block_ts=TO_BLOCK_TIMESTAMP, \n",
+    "    contract_list=(','.join([\"'{}'\".format(k) for k in list(contracts.keys())])))\n",
+    "print(query)\n",
+    "query_job = client.query(query)\n",
+    "iterator = query_job.result(timeout=MY_TIMEOUT)\n",
+    "rows = list(iterator)\n",
+    "events = pd.DataFrame(data=[list(x.values()) for x in rows], columns=list(rows[0].keys()))\n",
+    "events['contract'] = events['address'].apply(lambda x: contracts[x])\n",
+    "events['event'] = events['topics'].apply(lambda x: events_hashes[x[0][2:]])\n",
+    "events = events.sort_values(['blockNumber_dec','transaction_index']).reset_index(drop=True)\n",
+    "events.head(10)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "metadata": {
+    "_uuid": "3648cd60386e47df2a4ac84cdbacbde6ee40e737"
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Block range: 6629139 to 8608513\n"
+     ]
+    }
+   ],
+   "source": [
+    "print('Block range: ' + str(events.blockNumber_dec.min()) + ' to ' + str(events.blockNumber_dec.max()))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "metadata": {
+    "_uuid": "57539389d5d4910f860a72a161cf576ced58f983"
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "contract  event          \n",
+       "DAI       AddLiquidity        2694\n",
+       "          Approval             152\n",
+       "          EthPurchase        45840\n",
+       "          RemoveLiquidity     1787\n",
+       "          TokenPurchase      46266\n",
+       "          Transfer            4747\n",
+       "Name: transactionHash, dtype: int64"
+      ]
+     },
+     "execution_count": 5,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "events.groupby(['contract','event']).transactionHash.count()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "_uuid": "7ff6b391ff4e30ffc63c4343c7f5828de9963028"
+   },
+   "source": [
+    "^ As expected, most events refer to trades (EthPurchase and TokenPurchase)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "metadata": {
+    "_uuid": "d9431ad49c1beeac596699308fb999a372b95593"
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<matplotlib.axes._subplots.AxesSubplot at 0x7fafd0a87950>"
+      ]
+     },
+     "execution_count": 6,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 576x432 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "event_counts = events.groupby(['contract','event']).transactionHash.count()\n",
+    "event_counts.sort_values().plot(kind='barh', figsize=(8, 6))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "metadata": {
+    "_uuid": "ea4ca6f2d48d4ab5de5d3297f55d0149cebaf03d"
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>contract</th>\n",
+       "      <th>event</th>\n",
+       "      <th>count</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>DAI</td>\n",
+       "      <td>AddLiquidity</td>\n",
+       "      <td>2694</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>DAI</td>\n",
+       "      <td>Approval</td>\n",
+       "      <td>152</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>DAI</td>\n",
+       "      <td>EthPurchase</td>\n",
+       "      <td>45840</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>DAI</td>\n",
+       "      <td>RemoveLiquidity</td>\n",
+       "      <td>1787</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>DAI</td>\n",
+       "      <td>TokenPurchase</td>\n",
+       "      <td>46266</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>5</th>\n",
+       "      <td>DAI</td>\n",
+       "      <td>Transfer</td>\n",
+       "      <td>4747</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "  contract            event  count\n",
+       "0      DAI     AddLiquidity   2694\n",
+       "1      DAI         Approval    152\n",
+       "2      DAI      EthPurchase  45840\n",
+       "3      DAI  RemoveLiquidity   1787\n",
+       "4      DAI    TokenPurchase  46266\n",
+       "5      DAI         Transfer   4747"
+      ]
+     },
+     "execution_count": 7,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "event_counts_df = event_counts.reset_index()\n",
+    "event_counts_df.columns = ['contract', 'event', 'count']\n",
+    "event_counts_df"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "metadata": {
+    "_uuid": "2c7d8eefbcd66870a2ea6d9f8b1bc8f838bf6683"
+   },
+   "outputs": [],
+   "source": [
+    "events['contract_event'] = events['contract'] + events['event']\n",
+    "events['block_group'] = events['blockNumber_dec'].apply(lambda x: int(x/10000))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "metadata": {
+    "_uuid": "44aa78d388da6ab62b7713f5d2a87b033fdf59ac"
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<matplotlib.legend.Legend at 0x7fafd09c1a50>"
+      ]
+     },
+     "execution_count": 9,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 432x288 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "areaplot = events.groupby(['block_group','contract_event']).transactionHash.count().reset_index().pivot(index='block_group', columns='contract_event', values='transactionHash')#.plot.area()\n",
+    "areaplot.plot.area()\n",
+    "plt.legend(loc=1)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "metadata": {
+    "_uuid": "03ce83d90d6e08c8e0b13188882a86a496ff1bac"
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<matplotlib.legend.Legend at 0x7fafca17db50>"
+      ]
+     },
+     "execution_count": 10,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 1152x648 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "areaplot.divide(areaplot.sum(axis=1), axis=0).plot.area(figsize=(16, 9))\n",
+    "plt.legend(loc=1)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Remove Transfers and Approvals, as we won't need them going further"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 11,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# events = events[~events.event.isin(['Transfer','Approval'])]\n",
+    "# events = events.drop('data', axis='columns')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 12,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "events['agent'] = '0x' + events['topics'].apply(lambda x: x[1][26:66])"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 13,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>transactionHash</th>\n",
+       "      <th>transaction_index</th>\n",
+       "      <th>transaction_sender</th>\n",
+       "      <th>address</th>\n",
+       "      <th>data</th>\n",
+       "      <th>topics</th>\n",
+       "      <th>block_timestamp</th>\n",
+       "      <th>blockNumber_dec</th>\n",
+       "      <th>contract</th>\n",
+       "      <th>event</th>\n",
+       "      <th>contract_event</th>\n",
+       "      <th>block_group</th>\n",
+       "      <th>agent</th>\n",
+       "      <th>eth_delta</th>\n",
+       "      <th>token_delta</th>\n",
+       "      <th>uni_delta</th>\n",
+       "      <th>eth_balance</th>\n",
+       "      <th>token_balance</th>\n",
+       "      <th>UNI_supply</th>\n",
+       "      <th>invariant</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>0xbd773ccc33c831378f2aa2b7d4a9ae8a20ed9112ea9acb86ce96aa674c0cb5f9</td>\n",
+       "      <td>150</td>\n",
+       "      <td>0xf369af914dbed0ad7afdddebc631ee0fda1b4891</td>\n",
+       "      <td>0x09cabec1ead1c0ba254b09efb3ee13841712be14</td>\n",
+       "      <td>0x</td>\n",
+       "      <td>[0x06239653922ac7bea6aa2b19dc486b9361821d37712eb796adfd38d81de278c...</td>\n",
+       "      <td>2018-11-02 10:27:36+00:00</td>\n",
+       "      <td>6629139</td>\n",
+       "      <td>DAI</td>\n",
+       "      <td>AddLiquidity</td>\n",
+       "      <td>DAIAddLiquidity</td>\n",
+       "      <td>662</td>\n",
+       "      <td>0xf369af914dbed0ad7afdddebc631ee0fda1b4891</td>\n",
+       "      <td>30000000000000000000</td>\n",
+       "      <td>5900000000000000000000</td>\n",
+       "      <td>0</td>\n",
+       "      <td>30000000000000000000</td>\n",
+       "      <td>5900000000000000000000</td>\n",
+       "      <td>0</td>\n",
+       "      <td>177000000000000000000000000000000000000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>0xbd773ccc33c831378f2aa2b7d4a9ae8a20ed9112ea9acb86ce96aa674c0cb5f9</td>\n",
+       "      <td>150</td>\n",
+       "      <td>0xf369af914dbed0ad7afdddebc631ee0fda1b4891</td>\n",
+       "      <td>0x09cabec1ead1c0ba254b09efb3ee13841712be14</td>\n",
+       "      <td>0x000000000000000000000000000000000000000000000001a055690d9db80000</td>\n",
+       "      <td>[0xddf252ad1be2c89b69c2b068fc378daa952ba7f163c4a11628f55a4df523b3e...</td>\n",
+       "      <td>2018-11-02 10:27:36+00:00</td>\n",
+       "      <td>6629139</td>\n",
+       "      <td>DAI</td>\n",
+       "      <td>Transfer</td>\n",
+       "      <td>DAITransfer</td>\n",
+       "      <td>662</td>\n",
+       "      <td>0x0000000000000000000000000000000000000000</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>30000000000000000000</td>\n",
+       "      <td>30000000000000000000</td>\n",
+       "      <td>5900000000000000000000</td>\n",
+       "      <td>30000000000000000000</td>\n",
+       "      <td>177000000000000000000000000000000000000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>0xd53f01fc0cabbf4083da93a023ddb81de91320027077849ac982f7bc04b49279</td>\n",
+       "      <td>97</td>\n",
+       "      <td>0xf369af914dbed0ad7afdddebc631ee0fda1b4891</td>\n",
+       "      <td>0x09cabec1ead1c0ba254b09efb3ee13841712be14</td>\n",
+       "      <td>0x</td>\n",
+       "      <td>[0x7f4091b46c33e918a0f3aa42307641d17bb67029427a5369e54b35398423870...</td>\n",
+       "      <td>2018-11-02 10:33:56+00:00</td>\n",
+       "      <td>6629171</td>\n",
+       "      <td>DAI</td>\n",
+       "      <td>EthPurchase</td>\n",
+       "      <td>DAIEthPurchase</td>\n",
+       "      <td>662</td>\n",
+       "      <td>0xf369af914dbed0ad7afdddebc631ee0fda1b4891</td>\n",
+       "      <td>-25326059253325791</td>\n",
+       "      <td>5000000000000000000</td>\n",
+       "      <td>0</td>\n",
+       "      <td>29974673940746674209</td>\n",
+       "      <td>5905000000000000000000</td>\n",
+       "      <td>30000000000000000000</td>\n",
+       "      <td>177000449620109111204145000000000000000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>0x53172898dbe437c784f7e4ac757087b28d1b06aa6b72b81d4a6bb2bead50c93e</td>\n",
+       "      <td>53</td>\n",
+       "      <td>0xf369af914dbed0ad7afdddebc631ee0fda1b4891</td>\n",
+       "      <td>0x09cabec1ead1c0ba254b09efb3ee13841712be14</td>\n",
+       "      <td>0x</td>\n",
+       "      <td>[0x7f4091b46c33e918a0f3aa42307641d17bb67029427a5369e54b35398423870...</td>\n",
+       "      <td>2018-11-02 10:35:47+00:00</td>\n",
+       "      <td>6629177</td>\n",
+       "      <td>DAI</td>\n",
+       "      <td>EthPurchase</td>\n",
+       "      <td>DAIEthPurchase</td>\n",
+       "      <td>662</td>\n",
+       "      <td>0xf369af914dbed0ad7afdddebc631ee0fda1b4891</td>\n",
+       "      <td>-10118429075406013</td>\n",
+       "      <td>2000000000000000000</td>\n",
+       "      <td>0</td>\n",
+       "      <td>29964555511671268196</td>\n",
+       "      <td>5907000000000000000000</td>\n",
+       "      <td>30000000000000000000</td>\n",
+       "      <td>177000629407442181233772000000000000000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>0x6cef57fd37d7a2602c1236ff080c61c37e10980c7e3bd66de6f4e0ed52f16011</td>\n",
+       "      <td>24</td>\n",
+       "      <td>0x11e4857bb9993a50c685a79afad4e6f65d518dda</td>\n",
+       "      <td>0x09cabec1ead1c0ba254b09efb3ee13841712be14</td>\n",
+       "      <td>0x</td>\n",
+       "      <td>[0xcd60aa75dea3072fbc07ae6d7d856b5dc5f4eee88854f5b4abf7b680ef8bc50...</td>\n",
+       "      <td>2018-11-02 10:38:18+00:00</td>\n",
+       "      <td>6629190</td>\n",
+       "      <td>DAI</td>\n",
+       "      <td>TokenPurchase</td>\n",
+       "      <td>DAITokenPurchase</td>\n",
+       "      <td>662</td>\n",
+       "      <td>0x11e4857bb9993a50c685a79afad4e6f65d518dda</td>\n",
+       "      <td>10000000000000000</td>\n",
+       "      <td>-1964761376358359468</td>\n",
+       "      <td>0</td>\n",
+       "      <td>29974555511671268196</td>\n",
+       "      <td>5905035238623641640532</td>\n",
+       "      <td>30000000000000000000</td>\n",
+       "      <td>177000806558499339943044863018842396120272</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                                                      transactionHash  \\\n",
+       "0  0xbd773ccc33c831378f2aa2b7d4a9ae8a20ed9112ea9acb86ce96aa674c0cb5f9   \n",
+       "1  0xbd773ccc33c831378f2aa2b7d4a9ae8a20ed9112ea9acb86ce96aa674c0cb5f9   \n",
+       "2  0xd53f01fc0cabbf4083da93a023ddb81de91320027077849ac982f7bc04b49279   \n",
+       "3  0x53172898dbe437c784f7e4ac757087b28d1b06aa6b72b81d4a6bb2bead50c93e   \n",
+       "4  0x6cef57fd37d7a2602c1236ff080c61c37e10980c7e3bd66de6f4e0ed52f16011   \n",
+       "\n",
+       "   transaction_index                          transaction_sender  \\\n",
+       "0                150  0xf369af914dbed0ad7afdddebc631ee0fda1b4891   \n",
+       "1                150  0xf369af914dbed0ad7afdddebc631ee0fda1b4891   \n",
+       "2                 97  0xf369af914dbed0ad7afdddebc631ee0fda1b4891   \n",
+       "3                 53  0xf369af914dbed0ad7afdddebc631ee0fda1b4891   \n",
+       "4                 24  0x11e4857bb9993a50c685a79afad4e6f65d518dda   \n",
+       "\n",
+       "                                      address  \\\n",
+       "0  0x09cabec1ead1c0ba254b09efb3ee13841712be14   \n",
+       "1  0x09cabec1ead1c0ba254b09efb3ee13841712be14   \n",
+       "2  0x09cabec1ead1c0ba254b09efb3ee13841712be14   \n",
+       "3  0x09cabec1ead1c0ba254b09efb3ee13841712be14   \n",
+       "4  0x09cabec1ead1c0ba254b09efb3ee13841712be14   \n",
+       "\n",
+       "                                                                 data  \\\n",
+       "0                                                                  0x   \n",
+       "1  0x000000000000000000000000000000000000000000000001a055690d9db80000   \n",
+       "2                                                                  0x   \n",
+       "3                                                                  0x   \n",
+       "4                                                                  0x   \n",
+       "\n",
+       "                                                                  topics  \\\n",
+       "0  [0x06239653922ac7bea6aa2b19dc486b9361821d37712eb796adfd38d81de278c...   \n",
+       "1  [0xddf252ad1be2c89b69c2b068fc378daa952ba7f163c4a11628f55a4df523b3e...   \n",
+       "2  [0x7f4091b46c33e918a0f3aa42307641d17bb67029427a5369e54b35398423870...   \n",
+       "3  [0x7f4091b46c33e918a0f3aa42307641d17bb67029427a5369e54b35398423870...   \n",
+       "4  [0xcd60aa75dea3072fbc07ae6d7d856b5dc5f4eee88854f5b4abf7b680ef8bc50...   \n",
+       "\n",
+       "            block_timestamp  blockNumber_dec contract          event  \\\n",
+       "0 2018-11-02 10:27:36+00:00          6629139      DAI   AddLiquidity   \n",
+       "1 2018-11-02 10:27:36+00:00          6629139      DAI       Transfer   \n",
+       "2 2018-11-02 10:33:56+00:00          6629171      DAI    EthPurchase   \n",
+       "3 2018-11-02 10:35:47+00:00          6629177      DAI    EthPurchase   \n",
+       "4 2018-11-02 10:38:18+00:00          6629190      DAI  TokenPurchase   \n",
+       "\n",
+       "     contract_event  block_group                                       agent  \\\n",
+       "0   DAIAddLiquidity          662  0xf369af914dbed0ad7afdddebc631ee0fda1b4891   \n",
+       "1       DAITransfer          662  0x0000000000000000000000000000000000000000   \n",
+       "2    DAIEthPurchase          662  0xf369af914dbed0ad7afdddebc631ee0fda1b4891   \n",
+       "3    DAIEthPurchase          662  0xf369af914dbed0ad7afdddebc631ee0fda1b4891   \n",
+       "4  DAITokenPurchase          662  0x11e4857bb9993a50c685a79afad4e6f65d518dda   \n",
+       "\n",
+       "              eth_delta             token_delta             uni_delta  \\\n",
+       "0  30000000000000000000  5900000000000000000000                     0   \n",
+       "1                     0                       0  30000000000000000000   \n",
+       "2    -25326059253325791     5000000000000000000                     0   \n",
+       "3    -10118429075406013     2000000000000000000                     0   \n",
+       "4     10000000000000000    -1964761376358359468                     0   \n",
+       "\n",
+       "            eth_balance           token_balance            UNI_supply  \\\n",
+       "0  30000000000000000000  5900000000000000000000                     0   \n",
+       "1  30000000000000000000  5900000000000000000000  30000000000000000000   \n",
+       "2  29974673940746674209  5905000000000000000000  30000000000000000000   \n",
+       "3  29964555511671268196  5907000000000000000000  30000000000000000000   \n",
+       "4  29974555511671268196  5905035238623641640532  30000000000000000000   \n",
+       "\n",
+       "                                    invariant  \n",
+       "0  177000000000000000000000000000000000000000  \n",
+       "1  177000000000000000000000000000000000000000  \n",
+       "2  177000449620109111204145000000000000000000  \n",
+       "3  177000629407442181233772000000000000000000  \n",
+       "4  177000806558499339943044863018842396120272  "
+      ]
+     },
+     "execution_count": 13,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "def getEthDeltaFromTopics(topics):\n",
+    "    event_hash = topics[0][2:]\n",
+    "    if events_hashes[event_hash] == 'TokenPurchase':\n",
+    "        return int(topics[2],16)\n",
+    "    if events_hashes[event_hash] == 'EthPurchase':\n",
+    "        return -int(topics[3],16)\n",
+    "    if events_hashes[event_hash] == 'AddLiquidity':\n",
+    "        return int(topics[2],16)\n",
+    "    if events_hashes[event_hash] == 'RemoveLiquidity':\n",
+    "        return -int(topics[2],16)\n",
+    "    return 0\n",
+    "    \n",
+    "def getTokenDeltaFromTopics(topics):\n",
+    "    event_hash = topics[0][2:]\n",
+    "    if events_hashes[event_hash] == 'TokenPurchase':\n",
+    "        return -int(topics[3],16)\n",
+    "    if events_hashes[event_hash] == 'EthPurchase':\n",
+    "        return int(topics[2],16)\n",
+    "    if events_hashes[event_hash] == 'AddLiquidity':\n",
+    "        return int(topics[3],16)\n",
+    "    if events_hashes[event_hash] == 'RemoveLiquidity':\n",
+    "        return -int(topics[3],16)\n",
+    "    return 0\n",
+    "    \n",
+    "def getUNIDeltaFromTopics(topics):\n",
+    "    event_hash = topics[0][2:]\n",
+    "    if events_hashes[event_hash] == 'Transfer':\n",
+    "        if topics[1] == '0x0000000000000000000000000000000000000000000000000000000000000000':\n",
+    "            return 1\n",
+    "        if topics[2] == '0x0000000000000000000000000000000000000000000000000000000000000000':\n",
+    "            return -1\n",
+    "    return 0\n",
+    "    \n",
+    "def getTradingVolumeFromTopics(topics):\n",
+    "    event_hash = topics[0][2:]\n",
+    "    if events_hashes[event_hash] == 'TokenPurchase':\n",
+    "        return int(topics[2],16)\n",
+    "    if events_hashes[event_hash] == 'EthPurchase':\n",
+    "        return int(topics[3],16)\n",
+    "    return 0\n",
+    "    \n",
+    "events['eth_delta'] = events['topics'].apply(getEthDeltaFromTopics)\n",
+    "events['token_delta'] = events['topics'].apply(getTokenDeltaFromTopics)\n",
+    "\n",
+    "events['uni_delta'] = events['data'].apply(lambda x: 0 if x == '0x' else int(x,16))\n",
+    "events['uni_delta'] = events['uni_delta'] * events['topics'].apply(getUNIDeltaFromTopics)\n",
+    "\n",
+    "events['eth_balance'] = events['eth_delta'].cumsum()\n",
+    "events['token_balance'] = events['token_delta'].cumsum()\n",
+    "events['UNI_supply'] = events['uni_delta'].cumsum()\n",
+    "events['invariant'] = events['eth_balance']*events['token_balance']\n",
+    "events.to_pickle('uniswap_events.pickle')\n",
+    "events.head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 14,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "trades = events[events.event.isin(['TokenPurchase','EthPurchase'])].copy()\n",
+    "trades['trading_volume'] = abs(trades['eth_delta'])"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 15,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "array([[<matplotlib.axes._subplots.AxesSubplot object at 0x7fafc9f13090>]],\n",
+       "      dtype=object)"
+      ]
+     },
+     "execution_count": 15,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": "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\n",
+      "text/plain": [
+       "<Figure size 432x288 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "trades.groupby(['agent']).size().to_frame().rename(columns={0:'n_trades'}).hist(bins=300)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 16,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "trades = trades.join(trades.groupby(['agent']).size().to_frame().rename(columns={0:'n_trades'}), on='agent')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 17,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<matplotlib.axes._subplots.AxesSubplot at 0x7fafc7f94c90>"
+      ]
+     },
+     "execution_count": 17,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": "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\n",
+      "text/plain": [
+       "<Figure size 432x288 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "volume_frequency = trades.groupby(['n_trades']).trading_volume.sum()#.sort_values(ascending=False)\n",
+    "volume_frequency = volume_frequency.reset_index()\n",
+    "volume_frequency['trading_volume'] = volume_frequency['trading_volume'].astype(float)\n",
+    "volume_frequency.plot.scatter(x='n_trades', y='trading_volume')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 18,
+   "metadata": {
+    "_uuid": "a070cad2907f2a322ffd6299c2e92f5040cedf19"
+   },
+   "outputs": [],
+   "source": [
+    "topVolTraders = trades.groupby(['agent']).trading_volume.sum().sort_values(ascending=False)\n",
+    "topVolTraders = set(topVolTraders.head(20).index.values)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 19,
+   "metadata": {
+    "_uuid": "f3e17c4639779ec71c1954d0590a6c791ca2d8db"
+   },
+   "outputs": [],
+   "source": [
+    "trades['agent_class_vol'] = trades['agent'].apply(lambda x: '1- Top Volume Trader' \\\n",
+    "                                                if x in topVolTraders \\\n",
+    "                                                else '2- Other')\n",
+    "trades['agent_class_freq'] = trades['n_trades'].apply(lambda x: '1- 200+' \\\n",
+    "                                                if x>=200 \\\n",
+    "                                                else '2- 10-199' if x>=10 \\\n",
+    "                                                else '3- <10')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 20,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<matplotlib.legend.Legend at 0x7fafc8e75e50>"
+      ]
+     },
+     "execution_count": 20,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 1152x648 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "areaplot = trades.groupby(['block_group','agent_class_vol']).trading_volume.sum().reset_index().pivot(index='block_group', columns='agent_class_vol', values='trading_volume')\n",
+    "areaplot.divide(areaplot.sum(axis=1), axis=0).plot.area(figsize=(16, 9))\n",
+    "plt.legend(loc=1)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 21,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<matplotlib.legend.Legend at 0x7fafc8bee3d0>"
+      ]
+     },
+     "execution_count": 21,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 1152x648 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "areaplot = trades.groupby(['block_group','agent_class_freq']).trading_volume.sum().reset_index().pivot(index='block_group', columns='agent_class_freq', values='trading_volume')\n",
+    "areaplot.divide(areaplot.sum(axis=1), axis=0).plot.area(figsize=(16, 9))\n",
+    "plt.legend(loc=1)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 22,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "trades['isRound'] = (((trades['eth_delta']%1e15)==0) | ((trades['token_delta']%1e15)==0))\n",
+    "trades['isRound'] = trades['isRound'].apply(lambda x: 'Round Trade' if x else 'Not Round')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 23,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<matplotlib.legend.Legend at 0x7fafc7723d10>"
+      ]
+     },
+     "execution_count": 23,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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iIiIiImWlQFRERERERETKSoGoiIiIiIiIlJUCURERERERESkrBaIiIiIiIiJSVgpERUREREREpKwUiIqIiIiIiEhZKRAVERERERGRslIgKiIiIiIiImWlQFRERERERETKSoGoiIiIiIiIlJUCURERERERESkrBaIiIiIiIiJSVgpERUREREREpKwUiIqIiIiIiEhZFRSIOueuc8695Jzb7Zz7bJb7Vzjnfuece9Y597xz7o3jv1QRERERERGZDkYNRJ1zYeCbwBuA9cA7nXPr0x72eeCHZnY+8A7g9vFeqIiIiIiIiEwPhZyIXgzsNrO9ZjYM3Au8Ne0xBsxO/Pcc4Mj4LVFERERERESmk0IC0WVAS8qfDyVuS3Ur8G7n3CHgAeC/Znsi59wHnHNbnHNbWltbS1iuiIiIiIiITHWFBKIuy22W9ud3AneZ2XLgjcDdzrmM5zazb5vZJjPbtGDBguJXKyIiIiIiIlNeIYHoIeC0lD8vJzP19i+AHwKY2ZNALdA8HgsUERERERGR6aWQQPRpYI1zbrVzrpp4M6L70x5zELgawDm3jnggqtxbERERERERyTBqIGpmMeAW4EHgReLdcbc75/7OOfeWxMM+Bfylc+454AfA+8wsPX1XREREREREhEghDzKzB4g3IUq97Qsp/70DeOX4Lk1ERERERESmo0JSc0VERERERETGjQJRERERERERKSsFoiIiIiIiIlJWCkRFRERERESkrBSIioiIiIiISFkpEBURERERmYb2+4t4z/BnOWm1lV6KSAYFoiIiIiIi09Bm/2we9Tewy5ZVeikiGRSIioiIiIhMQz3UA9Bpsyq8EpFMCkRFRERERKahHmsAoI25FV6JSCYFoiIiIiIi01A38UC0ndkVXolIJgWiIiIiIiLTUI/FU3M7lJork5ACURERERGRaSg4Ee1KpOiKTCYKREVEREREpqHuRADarUBUJiEFoiIiIiIi01APCkRl8lIgKiIiIiIyDQUBaBeNFV6JSCYFoiIiIiIi01BQI9ph6pork48CURERERGRaWbQqhiimhA+XTRiVukViYykQFREREREZJrpIT66pZluokToo7bCKxIZSYGoiIiIiMg005OoD21yPQB0mupEZXJRICoiIiIiMs0E9aGzXT8Ancyq5HJEMigQFRERERGZZoIT0RqGAegwBaIyuSgQFRERERGZZoIa0SpiALQzt5LLEcmgQFREREREZJoJZoiGzAegHY1wkclFgaiIiIiIyDQT1IjGCAOmZkUy6SgQFRERERGZZnqsnjqGOEk9YXwFojLpKBAVEREREZlmumlgFv30UI/Dkqm6IpOFAlERERERkWmm2xqY7frotgZ8HF06EZVJRoGoiIiIiMg000MDc+mjmwZ8QsmaUZHJQoGoiIiIiMg0E5yIDlADONptanTN7bZ6Pjn8IaUSzwAKREVERERkTMwqvQJJ120NNDIIOAC6mBqpuU/56/ipfwVb/TMrvRSZYApERURERKRkUQvz9uG/5R+i76r0UiRFD/XUuaHkn4eoZsCqK7iiwhyxJgD6qKvwSmSiRSq9ABERERGZum733sJmW4fn63xjsvDM0UsDNURH3N5JI3V0VGhVhTlizYAC0ZlAnxgiIiIiUpI/+iv5n7HrAWi1uRVejQR6qQegynkjbu+wWZVYTlEOJ05E47WtMp3pRFREREREijZkET4d/TDzOMli18HLthwzcK7SK5OeRKMfx8ji3a4pEIgmT0SttsIrkYmmE1ERERERKdr/jF3PTlvBJyI/ZrutZIhqepVOOSkEo1r8tEv9NuZUYjlFCWpE+5n89awyNgpERURERKQoz/mnc4f3Fq4PPcq/edfgEwbghM2r8MoESI4+GbSRyY/tkzwQHbYwJ4ineA+YUnOnOwWiIiIiIlKUv4n+Bc10s8h1stNWJG8/oTrRSaEnUSM6nBaIdtjkHuFy3OZjifBENaLTnwJRERERESlYj9XxR1vNDeHH+FfvTSPuO0pThVYlqYIT0SGqkreF8eic5DWih1PePwNKzZ32FIiKiIhMAd1Wz5Cpx6BU3st2GgBhZ3iJlNzAMVMgOhn0EKTmngrmHEa31VdqSQUJGhWF8EasXaYnBaIiIiJTwA3DX+K22E2VXoYIO/14INruN4y4PYSv1NxJotsaiBDjZErzKMPRPclTc4NGRbMY0InoDKBAdAoZtKrRHyQiItPOUZvPHluWvEgTqaSdtoJZ9NNiC0fcHsKn1WZXaFWSqpsGZjGQnCcK4BGii4Y8X1V5h62Z+fTg43QiOgMoEJ0iWvxmzh36Ls/6Z1R6KSIiUmbP+mcCat4hk8NOfwVrXQsvpTQpgviJW7sC0Umhx+qZ7fqSY1ziHB2T/PtzxJpY4toZokqfdzOAAtEposUWEiXCdn91pZciIiJlFgSiQ8qMkQozg512Gme6w7SmjQLxCNGKUnMng24amENfsmlRoIvJnprbzDLXxjBV9FNb6eXIBFMgOkUEbbjVjU5EZOZ51l8DjOyAKVIJh6yZk9TTFOoFXNq9juOaIzopdFs8ED3JyOZE/dRO2qZnZvET0SbXAzj6NUd02lMgOkX0JrqcHVcTABGRGWXYwjxv8WyYQTXvkAoL0nHT51MG+qhjQLV9FddLPbNcP36WS/3JeiraQwN91NHoBgHon0SpuU/5Z/PKwX/OOGGWsVEgOkUExeatNmeUR4qIyHTyoq1kmGqqiDE4iS7MZGbamRjdkq8pkTrnVl63NVDPUNb7OibpLNHDiWZsYQyYXDXx98Wu4jALaEmMl5HxoUB0ighSc9sUiIqIzChBfegCunTSJBX3or+C5e4Eu21ZzsecQOm5lWQWrxGtcdGs93dO0kA0mCHal/icG6Ia39LTv8svamF+618AMGIcjoydAtEp4lRq7vwKr0RERMppq7+GRXQQJcyQUnOlwnbaCta5g+yy5Tkfc1TXKhU1QA0xIlS7WNb7O5icnXOD8VS9dirYmwyzRDf7Z9OdSGfumeRzWKcaBaJTRG9iB6aNOUQtXOHViIhIuTxra9gY2k0HsxhUsyKpoEGrYp8t4TR3Iu+myDE1VqyoYGRLGD/r/W1FdjZus9kMl+Ha87A1UUV0xIiZyVAn+qB/UfK/uyf5HNapRoHoFBGciAIZ7dJFRGR6arXZtNhCznBH8YjoRFQqarctwydEvRvO+RiHr865FRY01LGMrsZx6TWi+/zFOVNghyzCtUNf4ePRW8Z3kVkcsWYWuw6OpGxkDFa4c65vjt94F3K+2wVArwLRcaVAdIroTWm/fUwpLyIiM0IwtgUXv0iMEsGbBDVTMrX1WB3/EnsrMSvuMvBFP94xt8uvz/mYMD6t/uRM/Zwpgr4i2U4xQ3h0pqSXPu+v5rXDt3Gv95qsz/V7/zzamcMD/iX8yrso62PGyxFrYhntHLVTgWilT0Sft9M5RhNXhF8A4j87Mn4UiE4RvVZPM10AHNNOo4hIWX0r9mY+F31/2V/3Wf9MqohxyDt1YaZTURmrH3pXcVvs7eywlUV93U5bQS1DIwKFdIajXY0VKyo4ER20zFT+EDZiBMl3Ym/ECPED77VZn+t+73Lm0ctpHOdvo/9lXMaXeOayjiMMTkT7UhoCVToQ/Y23iTAeHX4DDj9ZKifjQ4HoFNFDPWe4IwAcZUGFVyMiMrNs8dfy6wk+DcjmWTuTs91Bnuf05G0zeZboQX8hbx36O04o0BmT3/vnAcVf5O+0Faxxh3mJFTkf4xFSCVGFBXWMUTJnvRqOrsT9R20+D/iXsJBOXrDTedkf2Qm532r4rX8+14U2c4K5dDCLv4+9e8zr+zfvGl499E8jDlaiFuY485jrTo547ECFU3Mf9DdxsdvJw7aREEaf1VZ0PdONAtEpotfqWeracZhOREVEymyIKjqZRV8ZL4piFuI5/ww2hPaw3xYnb5/JDYuet9U8Z2fyO+/8Si9lyhqwap7yzwYo+qJ6p38aa10Lh/LOUnSaI1phPckT0cxNK49Q8lTz32KvxyfEDeHHCOHzQ39keu5D/gUMUMuKUCtD1FDHID/2ruRR75wxre8//AsZpppfeK9M3nacefiEqE0bOdNXwRPI3f5S9tgyLg3voMUW4RSIjjsFolNED3XUuyHCeBz39QEvIlJOwxY/WThcxmHmL9lpDFDLAtcDKU1Hsl1czhTBBfZmW1fhlUxdT/rrGU6cqhdzkd9qs2lnDgtcN+RoghPoYlZZuqxKdkGgOZD1xNvRYbPptxq+713N60LP8H/8i6kmyi9il4+oG/6ldzmL6WCLF69V76OeWfTx2dhflrwpN2DVPO2vBeBnKYFoMLollhaaVHJu54P+JgD6E8Gn4TRHdJwpEJ0ChizCMNVUuRgGtCklSUSkrIYSp5AtVr7SiGf9MwHoTKvJmsmpuUETlmf9Myq8kqkrSMsF6C/ionpnolFR0DhrNK1FjgiR8dNNA430j2h0maqTRn7ivZpuGrk0vJMWW8QgNbQyl0f8DfHnsAZ+75/HG8JP8ahtSH5tL3UctgXcHntrSWt7yj+bYarYENrLTluZTAc+ktjk60lrhFXJE9HfeBdxrtub/DfxcToRHWcKRKeA4IMkgo9HmBP6cBcRKavhRCB6kMWjPHL8bPXXMJ8eXvaXj7h9RgeiiaB8ry2lPW0EhRTmYf88znV7AOin8IvqnRYPRFv9wv7dlZ5bOT1Wz2z6c868PEk93/XeyDluHw9ET9W+VzPMvYmmRb/2LiJKhGbXm/z8iwtRwzDP+adTikf9DVQTZTkncPj81L8CiM8QBehN60pbqWZFR20+z9kZXBF6jhcT730jpBPRcaZAdAoIZoi6xP9rfIuISHkNJ5p+HLSFZXvNbXYmF4R28YKNvOCb0am5KSc8z/hnVXAlU9M+fzEHbDGXh14EKCq98kV/BQvpZJ8tKejxmiVaOT00MMf10Z0ypiXdflvMW8OPs4W1yds8QvzOP49Oa+SX/mWscMd53MtMgw9q5kvxqH8uF7mX2OqvoYYo98cuwzfHEWtmLr0cZ+Q1bn+JKcB3x17Hf3obS/paIPm1IQepqejBNbmMDwWiU0DQKjrImz9Jfck/mCIiUrzgROCIn3tsxXgasGr22lJWu6OcTEuvG5jRJ6L1LKaDEB5/sFdUejlTzu8TKYaGAcWdru+0FZztDvKynVbQ449SvnpqGSl+Ito3YuMm3SI6eMFbTWqQ5REhShXfjb2RJ/xXcF1oM0/Z+ixf7Wgt4cT7mM3jZTuN80O7OEYTg9RwhGaetrUcsSaWuPZkrWic5ahzzc8MbovdxJ3edUV/bWCXLaeeQbZ5IzcCNb5lfCkQnQJ6ssyDUsqLiEj5BM2KcnUt3+Gv4CvRt2M2Pq8XnLxWOT/jvoEi0imnmx4aaHZd1BJlq6c60WI97G9kpTvGVn8NDr/gTe2ohdlty1gVOpaz7nAkdfivpG4amO360lJqR3p7+Hf8yi7JuL2OQW733oJPiEY3hEf2plPtzC768+5R79z4f6TUGUeI8RPvCo5YE8tcGyc49b4JYQyUkAHSwSy6aaRlDBksB2wRK91x9rF0xO2VrFmdjhSITgHB7kvUTs2DOoY+4EVEymUocXKUq1nRj7wrucN767jtlu9LjGvpy3IRVsoJwXTRY/XMoY8BqvmjrR6xQSv5DVoVT/rruSL0PM/amvhFfoEnorttKcNUMdf1F/T4CF5JJ2YyPrqtgUYGc96/1h3kuM3POmd0gBp8Qqx1B/l9EDhm4RHOWYOay6P+uTTRzQvequRtDuPX3kUcsgU0ux78lNDEFfEeTbXX4sHjIWse0QW4GAdsESvc8bQT2vhs1iHL/HeT0igQnQKCfPTUD4yjVp70MBEROVUj2sGcrDv0uy3e+bHbirswy+VAIhDtylLjNaMDUeppdAMYIWJEeM50Klqop/x1DFHNQtedOOWyglNzt9sqALqt8I2WNptdwiplPPTQkDGPM9VLtoL70maGnuKoIsobQ0+x1dbkfZ1ipjj45njMP5dXhV5gs52dvD1KFT000Ecds9xA2kqMgRJK0fb68TrmGBGOltBXxTNHiy1kkescERgHCssKkEIoEJ0Cghz/1B2Yo2WcZSciMtMNU9PCMI4AACAASURBVMVCOoHss0SDzrbFnhDkst8WMY/erK8107vm1qec9DzlFzdP1Axujd7Mr72LRn/wNPOwfx41DLPPX5S8rdDGV9v9VdQxxGG/sGuPGGHaFYhWRNTC9FNLTZ5AdDQRPH7tXYSNEia0U/j3eIetpIPZnBk6mlFeUMMwAGFGliIYrqTPuz12Kp32oC3K88jsjtJElAgNbijr/SeL2JCR/BSITgHBiWiwCx7CV+2FiEiZ+OaIEmF5qA2Ip3ul6rb6ZKfHfF0qixGkhQUno6lKqZmaLnqopy5xgV3DMFuK7Jz7uH8Od3nX8YB38UQsb1L7vX8eF7mdPOYH6Zau4LTH7f4qznIt7EicjI7OqWtuhQSbYRG8kp9jgFpeZNWojztRxPc4aJTV6mcGr7FEHepAWqq94Ur6vNtrS5jNSQD2UViX51QHEps1McteHztRI1yGLDLjyg0UiE4BvdTRwEAyFSCMT2sR6RAiIlK6IC13qWsH4EDahU2QlguUPNIg3QF/EavcMVrJ/KyfqSeiQxZhkBqqE4HoMBG2+WfimxvlK+PM4OuxtwHQxfhsGEwVLf4C9tpSLgjtTjaD8XEFnYj65njRVrLOHeQIhZcFdTAbr8DvjYyfnjKOFzlRRL+SR/1zOdsdYIutzbjPI8yF7iVa/ZGfd36JJ6J7bQmXhl7E4bM/y2beaPYnTlG7cpRaTNS/8UeiH+PPhv/7uDW9mwoUiE4BPTTQyEAyRdfDKRAVESmTIBBtcj04/IyGRbv91EB07OmIg1bFEZpodr2kjlYAcPgMzbAd80DqZizEh8v30MCulI2AfB7xN/CMrSWMl+xGP1M86cdHcAy7UyU+hiuo3rjFFtBLPc2hHtLfj/n4hGjPspEixfmddx5P+5nBWy7BiWipTXoKZwVfi/ZZDc/4a7k8tIMXbUXWxzxja3nALku71dFXZJfwYQtzwBaxzLURwaPFz95gLp+Dtohqojn/fhNVI/qsfybP2Foe9DdNyPNPRgpEp4Beq2OW60+m6PqElfIiIlImQ4kRCCGMCD6H02aJ7rJlRIgB0DkOqbktthAjlLXGyxXRYGa6CU4h0kOhzQXUiQanoUtoYzEddM6wE9ETxDvY7vFSR1E4+gu4yA8aFZWyAaJRc6Ubsgifj/45fx79b3wh+r6cj+u0Rh7xzk32EQkapg3kGd0yHsL4tFthGSBP+euIEmGe6xu17jRdIe/RVAdtER5h6t0wHmEOl9Dcc78tYrlr5SDZ60t7JuDzo9Makxs3X429fcZkEygQnQJ6iberT92BOcG8GXV0LyJSKadm8RkeLqML4y5bxpnuMCH8cemaG6SF9WdJm3ScCoxnmp7kSc+puq0qomz2z871JUkP++exzdbw55EHOUJT1m7E01mnzaKOwYyU5ELq77b7qwjjccQvfgP8uALRkrT4C7hx+Fb+t/d6ltDGAVuU85rvjthbuDn6OS4eup2/if6XZAOv2ASPGHEYnQUGok/7a6kixm6v+MZBxdaI7rV46USfVeMT4kAJzYoOWLw04lCOcV09E3AiGpR4XBbazh5bxs/8V437a0xGCkSngF6rZ5brpz8lhWaI6uQvZRERmTjDwUmQxTNS0jvZ7vKXc5Y7RAh/XC5QggZFnVmDWpuxqbnBiehQyigznxDP+mfm/br4aeiNLHOtbPdWYoTopb7g2tLpoNMamUtfxklwfwGpudttFWe4I+xkZdGvexR1+C/W770NvGn4/2a/LeYfI/9KlAj91GatF4f4RthS2tgY2sNPvFdzh/dWYOI3rDxCdBQYiHYyi7mc5GWyp+XmU+y4qqBjbrDZ1EtDURuEZvFAdInrSNmEHGkiakR3+/F1r+A4jfTzteifzoh5pQpEp4Be6mlgkPSEJHXOFRGZeEGNqLn4Z3Ar85KdDXutjiM0s8jFR7t0j8MFyj5bzBxOcizrmC43g09E4/+2wykXZx5hDrEg7+/D//TP53k7g/eFH+TfEzVoPiF6J6jz5WTURSPzXC9daYHDYCGBqL+S9e4A+6z47qPHS5jhGDhq8/lM9APjOo/0vw7fwteiN47b802EL8Vupsn18JmqH/J3sffQlkirzjWGZL8tZkNoD4/551DHEK9yz/O+8IO0+AsndJ1GqODxLT3WwGzXV1LGSLGB6F5bQjNdI/69Dlrh/xatzGWA2oyZpgGHX/D4lu/E3khLgSOPdtsyahniuM3jJPHfK9/3XlvwuqcqBaJTQK/VUZeYsZRKdaIiIhMv2BVPPUE7mqg7Cnbfq52HjxuX+XIHbBEr3fFkim4qYwan5iYuYlNPRAN/yFEnagb/FHsbp7kTPOedjseptN7xGrUzFXTaLObRS1daJtUgVXnLfE7YHFqZx1LXjl/kJWMYjxNjaKz4sHceP/Ku4sPRjxPNMUajGHv9xfzSv5wfeVdO2tIms/ic4stDf+QL0feOmLe515ZmPD5mIVpsAYtcFx5hOpnNY7aBu7xreY78mQLjoa3A7283Dcyhr6SMEY8ww0V8//f4SzndHU2m6AJZP0u7rT6jzAJISeXNnjERwjhZQN1qu83iy7F387XYnxa07l22jNXuGHtYCjga6edfYtfTb8UF4lONAtFJzix+IpqtacWRCU558c3NiLQAEZF8gsAvlvIrM5gluivRMbfLr8cnlOxYORb7E4Fo0GAmleFmbmpu4iJ2MO3CrIoYD/vnZ/2avbaEF+x0bgo/zAN26Yj70oOy6ayLRua4PmJpQbwRytv8aru/Kv44V/zlosPGdJq53xbj8HnaP5svx/6s5OcJ/Mi7EoCjNJU00qMcOpnFENU0uCFGBkKW9UT6sDUTI5J4fPn1UVfQ3Mseq2e26yu6A25goIiv22tLWOWO0ZUySmtfliD+89H/wtuH/zZjU2J/YoZol589aHYYJ2309QT1s7/yL6a3gA3KPf5SznSHOZyoSz1JPe3M4bveG0b92qlMgegkN0QVw1RR5WIZ9x3JmrY1fu7xruaKoX+aUXU0IiLpglTQ1ED0APEL2d22jGqiiaYsbsxNcIYswhFrZoHrztpd0mZyaq41ECGWcTFrwBPeuqynXA/75wHxzKL0E73x6HA8VXRaY6LEJ1O+1McdiY65x/3iA0qPEO1jOBHdZ4tZ7Y6xmiN8z7uOH8WuKPm5PHP81Hs1a9whAB7zzyn5uSZScELn0k7jqohxIMsYkn2JgLqShwaFpOf2JErMiu2YGyiklhmgw2bRxSzmu5PJ2yLEOJCWmmsGT/iv4KAtytiUOGiLCOPl7AhsBY6UCTYlB6nh371L8z62z2o4zAIWuc4Rn1MNDHBv7DWjvtZUpkB0kgt2gCOJuWmBsaa8FGK/LeY482fc4G8RmXm+H3stT3jrs943lEzNjf/KdFiy5uhUOtVygDGfiB6yBfiEqM2SBUPi1YutmZoueqhnFgMZM/xiRDjB/KzzRB/2N3K6O8KWLHMYx2Pm61TgmaObBupcZokP5L/I3+6v4jR3gl12WtGva4ToHkPzrv22mNXuKC0spIku/ib2Fzznn17Scz3ib+A48/nT8CNUE+Ux/9yS1zWRgpT//rRTRo9QRpM0IBlEdVVwLm4h6bk91kA9pZ/aFpqeGpRKODdyVyp95NYeW5oclZL+Xthvi1ji2jlE9rpSH0d/ESeiVUS5z7sq72ODtOuatEOnPuo4zIKCTmCnKgWik1xvjsYXrohBwqU6mWjkMJ6NAkREJqOvxW7kPi/7znOyRjRxShHBS17YvGzLOdMdSgamJ6kf0/y34MJyIE+6W6lzRGNWeJfLyagn0UE+V8f4h/2NI/48YNU85Z/Nq0MvsM0y6+U6xhCIFvM9PmFzedXQP/GiX3wwNx56aMAIUe28rPcP5LnI324rWe/287ItL+m1S63D9c0lO5fGiNDOXOoY4oPDnyzpPfxj70rm0csO7zRihNjsr52U2V7BiWh64OETzppOvN8WU89g1lrHchntWtQsvomUe3NtdIVuvu314+nLnf6pz4gYYQ6lnYgGI59qGco4HT9oi1jJ8ZxjX6zARmdB6v9qd5RttoY9fu5mX7sTgWh3jhTebJts04UC0UmizWZzZ+zajNSiYOc3xshCbY8QrRM8nyv4IJzo1xERqSSzeA3dYI6U16BrbpAy5eM4ZvPptxoO2UKWuI4RTXDST+yKETTVyNddcrDIuXqBH3iv5cKhO/jk8IeTNa5TSQ8NzKYv6+iEGoZ5xN8w4rYn/fUMU82CUE/WRjulBuXfj72WTUPf4uksp6zZ7PaXcsgW8pC/qaTXG6sgBdmRvUPPQI6NjR6r44AtZqU7wVCJmx+91JfUGOgo8xmimtkpnUt7qOcY87nHu7qo5+q0Rh7yL+RPwk/yoF2En2jq81KJwfVEOmpNRIhlnc/ZTWPG58I+W8xKdzw58qkSWsnfOLOfGjzCWUvMClVoau5eW0I10bTrVscRmkY0PNrsn00T3czlJE/5Z4/YlNhvi1ju2ujPk37bW8AJdNCheintOHx+6OdOsd3tLyOMR6uf/Xr7Jb/4sTdThQLRSeLX3kV8KfbeZL5/IChwTs//N0IT3jW3L7Hjc3yUDxkRkamslzpiRHKeNJ5qVhS/kPESs0T35EinGkud6AFbzCz6OWJNOR9T6onoHltKGJ9/9y/htUO38Y/Rd5Y0TqFSeqyeOfRlDfSHqGKLf9aIxikP+xupY4hdscyL9BBeyX/3Z+1MOpnFu4c/x0PeBaM+Pihv2eqvKen1xqoz0bQlZtkv+XJd5L9o8bmhuU5SCxElUlJN834//j1L3YQ3QtQxyA+9q4o6zfyFdznDVLHEdYxoevNY2sbFZHDM5rOAbo6T/YQzvdYxSF8+Qu7Pi4l2YpRr0SCDIZRjI6QQxaTmrnTH2cvI5kQ+oRF9VZ7213JR6CU6iNeU7kyknndZA900MifUl/d1CjkR7bRGwnjECFNDlJ/FXpkzk2J3jnUDhPB5sYQZvlOFAtFJIkj9Sm9A1JtlblqgjTljSgEbTTCG4ESOD0QRkekgOH0YzpEOG9zupVzIH2ceO/z4xUFPWjrVWOpE99siVrjjOWcGQunjW9psDstcG2dxiHPcfr7tvYlrhr5C3yQaD/CMv4a/jb4v6ylaD/U0uoERp8+nOAapSdaCmsHv/I1cGtrBY5YZcISwkme+ttgCznItLHSdfDD6Se6NXZX38cHGxAv+6oqMDQleP73uMJCr3i3omNvmjy2dO1cqdT7BpnxnWufSAWppsYU86Wev587mR96VrHf7R2wa1DDM4/4ril7XRDvKfJa49pwbUanpuVELc8gWsNB1ldwEaKxC+LSPUr4VbPiM5a3fV2CWyV5bwunuCC2W2dgpSLU9ZM0cZgFrQocZTmzqPZrYlAgek96XJXM9taP+LHfRyBz6Etk2NZxgXkbWRmC3LeNMdzhr+nUYL29a71SnQHSSCFK/WtKKo4MUpOEsc9M8wsli64kQzEma6KZIIpKdZ46PD/9VyQ06pDDBiVGuk8bg89dL+ZVphHjE30CEGMf9kScCY2kcst8Ws8od42ieDcChUWY/5tLGbJrpZj+L2WpnMZ9ejjM/61iISvmldxl3e9dkDV7iDU+yd36F+EXx7yw+xmWvLaHFFnJeaG/W35OGK2mmIUCLv5B17iAttpBlro3Pxj7AN2Nvzfn4oFasnTkcynKBPNE6Eyeywzk2MPpynO5s91fSRPeY3x/ZUqlHs98WU8MwJ7KUBlUT5R7/dQU9zw5/BdttNW8Ib2arnTqRHibCFv+snKfEE+mP/sqcmz9HrYklriPnZtaelFrBFluAR5j6HE2oyiEeiObPAAl+zqJj6OxbSJfaqIU5mCiVSB9TBLCP+Ps4SKkPTttrGOaJxKZEsjTCz3/iGSvgpL/L4iOTgoyIaqLc578243HDFq//XeraiWZZd5QIu/3Mk9LpQoHoJBG8+VrS0i6CE9GhHDVBE5meGzQrai+hbbuIjF07c/i5/yoemaQdHqeLoIYu14VFcAGffhL3iH8uq5IDyFOer8QmOMOJE45co1sCRijr5uRo2m0OTa7n1Gd7IkCrZKOTdEHt6vEsAUgP9dTlaXhSRYzHE52Pg7EtuS74fRw9JWwYDFuYIzQx3/UCjhZbyFJa+Wrs7Tk3bbtS6v2escLSc/8x+g5+411Y9PryvX76/NVAzkDUVvEKt58dNra0wFIyBPbbYla4E8kxSal8HA95FxRU4/sj70qqiCY2h05lkBkhTlLPC7a66LWNRZvN5q3DX+Yu79qM+8ziP4tz3UkgM9stfQxJcHo2WMHRLYbLWs+aKvg5y9eAbTT56jUDB2xRzpmqIfzkaedmfx2z6OdlLx7UDxPhaf+sRCAbf0who51GS8/topF59CYzEjwcv/U2ZmxUHrDFeIRpzDkL1nGMpozMm+lCgegkEaR+padj9Fo9Dj9nM4FjExiI9iXe9FO5y6LIVBakNPVN019Ak0WhJ6LRtEC0lwbWuMMZ3RU7Ke0z83BidEshJxyl1Im222zm0Ef6Re4Ryn9Kl0twYpi+yTpkEQapoTpPIDpENTttJSdsTnJsyzP+WVkfa4RKGk122BZgaeN1gn+/XI39umhgPt1EiPFMAQ2O+qyGf/XePOrswUIFtWq5LpyzXeQPWYTdtowzQkfG1HwL8jfeymW/LWK1O5r1BDlGhChV/MR79ajP84B3Ca8NPcsvvcuz3l/uOtEn/FfgEWZHIu05VSezGKKa+pwBCRzyT5Vv7UuObqnciD2PEB2jfN4lT0RL2DwL9BUwvmRv4uS+P8vBTRiPlsQc1s3+Wi4MvcwzFv9sMEL0U8fzdjr7/UUspJPDBXwmnhzlpL/TGpnrTiY3/rzE+/Zn3qtGPC7omHtylCZ0uyZhc63xoEB0khhOXOAcS+uY1UM9jQxyMscvgmMTWKAepEKM9iEjIhMjuFDOdWIh4yN5IjpKjejIC6l4buxS156RBlbqhWGQFlbIcPpiu5jGLEQnjVkuco0jk+RE1Cwe6AEcJXu/hPAotVsAD3kX5h3bEijl+xSM6cn2Pcr1fF3WSJProYYoz/ujn8DtsFX4hAqaz1iIzpRatWyyXbgfs/nEiGQ04ipFV5HXEJ45DtoiFrnOrCmWAPUMcq/3mrwp6v1Ww3Hms8K1ciJL08V4Smbhtabj4cm0FNBUQWZCrqY+McIjasf3F9DYbOK5UScrBKnZuT5fC9FfwOddEIhmO82MJRrMtdls9tgy1rmDae9L41F/Q6JL9PGstZrpTo7ye7nbGphFP6kbf/UM8D3vmhHNtnYn0q1Hyz7cWaHxTxNNgegkEVzgpAeWvVZHI/05a1kKSVcoxZBFkuloo3VEE5GJEaTwFNq6XkoTpJblCu6GqKKa6IgauyrinUTTU0VD+CXXiAYnq4V8fbEjXDqYlXWWZARvwjuwF6qbhmTAmX5xHVzMjtaer4oo34jdkHdsS+rrFVtrGwSi2RodtZHjRNQamctJBqlmh60cdaPhhUSwOl6bwF02i7nuZM6AMNt1RFCjW2pjrBGvX+TJ8xFrYpgqGl3ueuB+athjy0bUfaY7nEjzjrjsmxdDVLHVXzPi+7HZX8sT3sQFp0GDpH22OOO9dywRiPbl/Nl2nGAeA4n799tiVrpjFR3dAvGT3HxdjIP3Uq7MvtE4/LyzbgN7bCnNdGVt9GaEOGCLkvWh4bT3RA1RnvDXc8AWcpo7QXcB79neUTKVOpmVsfHXTy37bQm/9c9P3rbbX8ZS2thP7lrsED47x5giP1kpEJ0kTnXNnT/iB7qXema5gZzF/tm66Y6H4ASmjiE6RvmQEZGJEZywlDo3UgoTpNLmuugeooqatEDUT4REPWkpYyH8kpvg7LfFNDBQUM1mrpmnuZzqbJkZebX6k6MhXWoaZnqTmuBiNmbZOuae4hPiOPNzjm1J5REuqAlKqhZbSDXRrKeVbTmaB3bTwFzXh0eYKFVst1V5XyMZiI7SjbRQnYlatWwnRQ5/xMibQHJ0nD/2a4xiU3OD06ho3u+1I0KMe7zcTYuC91Pu2kTHENVs9dfQ4jfz4eGPcdPwF/lk9MNFrbdQLX4zBxNdsfupyxiNF2y+jJaGGmyG7Es0NjtW4RF7PqFkQ6xseqyeujyZfaMJYQwUsBm711/C6e5o8mQ0XT+1/Nq7mFqG2OeNDFaDTYlW5jE/1FvQuvLVPg9ZhH5qqckoJXDUMcj/iv1J8pbdtpQz3eHkOLBswnjsmURN5cZTQYGoc+4659xLzrndzrnP5njMTc65Hc657c6574/vMqe/4ER0mGraUhpd9FLPbPpz1miU0rCiEMHoloWuE49wSbU0IjI2wa5sqTvJUphkwJ+zWVGEKqIjPm89QjkHkI+2U55L0KDlYJYGLemKrRFtTwRO6UFHjDAncpzklVsQOITwaU0L9JLpfaP8zgsaSl0W2s7jWca2pCv2d9tBW8hy15rR4R6gI09qbiMDyT9vtex1q4HnLd4lu53Z47IJ3GmNzHMnswbduS7yg82UsV5jOPyiu+buT9Y+5g9gHcavvItz/rwFja/yNXlxGF+OvZvXDd/G7/yNnOkOlVzjPZogLXedOwjEA6dUx2w+EWKjpozvt8UMWYQj1szCURqblUu+ES7dNDCb/pLG+ED8e5Trd2CnNfIT79V8aPjjPGdnsMody5sK/mv/Is5ze9hi6bXaLpkGXk1hc3Pz/X2C391VWUoJBqlmi63lOf90fHPssaWsCJ3Im+E4nTvnjvrudc6FgW8CbwDWA+90zq1Pe8wa4HPAK83sFcDHJ2Ct01rqyWbqLNEeq2eW68/TRGPsaTPZBKNb4p0BybgoEJGJF1yI6UR0YgUpkFGqss5mHqaKamJpn7eOt4Ue4QVG1vx5hErqxgrx1NxV7lhBNV9FB6KJDc7MekCXTAmstCAQncvJzEA0z0ztdBFiXBjalfOEMlWxadQHbSEr3Ilk2mcgjJeze2hXSm1uNVGe8XKnk/ZaHXttCfPoxSNc8un6iNdPBsKZ7+1cF/m9NvYGMxAPdIv9O+yzxdQxNGpZUJQqBqjhIT97d+FDtoBqoslNmGyqibLdVnN1aCsfj/yUFlvAENVZT4nH6nH/HJroTr7nXmZkzd9Ra2IB3aP2/thjy2ixhfiEqK3g6JZU+eqZe6ye2a6vpDE+EO/Mm/470DfH+4c/xaahO/hU9MNs9ddwY+gRFoe78j7XENVsCO3leJbxWC4RNJ4scK5yvkC0K8/sVCNEFVH+l/cnHLZmBqlhjusf5dUcJ5hf8uzjyayQbZSLgd1mttfMhoF7gfSBWX8JfNPMOgHM7MT4LnP6S911PJTyC66XehoYJPsvEH/CU3ODXdzxapogIoULUn9UIzqxUlMWs23uDVuEahfL+Lz9of8aDqWN3Cp1PmXMQrQkhtPnq2sMDBS5OREEdgNZ0v56aSj6+SZCiy2gkX5C+Bl1q0FwP9qJKEAD/fyf2MUFvWZ3EQ2LzOKpuYvpyKgndljWoHbAqhmimupE058YIV7IMxd4u63ECLE21AKMz+/eeK1a9nrLbBf5cCrwzzU6rlAOKzpDIJ4ZcJz9BWQGOHxezFE7d8iaWeLaOZSnA+oQVdwcfpA9tpT/EXsnQ4nP2lJGzuRjBk/467kstJ3n7HRCeBknXEeZz2LXnjc1P4zHAVuY7JjbX2DQNNGyNYMK9NDAHPpL/jc1MjfeTjCX//Av5JrQFj4R+Qnr3H5+5r+Kb0SvH/X5cnUlryb+M1poKnlvnqAwOFXPl17+oLcpOWaq0Gv56dg5t5BAdBnQkvLnQ4nbUp0FnOWce9w59wfn3HXZnsg59wHn3Bbn3JbW1tbSVjxNRYmwhHYAWlIKrXutnjqyt/J22ISn5tZa/Ac2vZZBROCP/ir+NfZGXvBXT0gddZCiVUh9jJQu9SQr20ljUCNaWKdaV1I31lbmEiMyYixIPgNF1ja222wixHIGyZPhVPSQLWCZa2OIalqZO+JnKlh3rlmYqbqZzQ4Kmw/ZUcTM1y4a4+UyoczTC8NlvYANUn+Dbr8+YQ6xgNYcqYxBkFpl8fdBe4kzaQNBIJyr+222i3w41aW4f4xZVz4ueT1RqP2J2sf0U+dsInjs9zOb00D8/bSc1lEyDBz/5l3LS7ZixK3jPRJlty2jlXmsCR1hkFrCKXMtA0etiSWuI2+6uMNo8RcUnL5cLnkD0cSJaKm/xwyXsVEWfF4tD7Xx9djb+L2dP+rnc4QYEWIc9LO/r4ao4nz3ctaRQekcft73dbC5ma0jNcRP8w3H/xu7Ccid1p9up79i9AdNMYUEotmurtJPmyPAGuAq4J3Ad5xzGUUnZvZtM9tkZpsWLJg8c8smg2GqaHLdhPGSJ6Jm8YG5mcXOcY4JrBFNXOQEM9tOZEljEJnpbo+9lX+IvZs/Gf4HLhj6Fh8Z/ii/884bt+cPLkj6C5ihJqUxizdzmUUfkL1h0XCya25hn7eFdFxM15kcep6/GU+g2Iu6dmYzn96cgddEzqQu1CFr5jR3gpPUEiMyogFKjzUQIVZ0c6HRFBOItiRrWDN5OeaSnkrRG3kptc3PPlbmef90ltCePMEea1lM8G8YyTH2JttFPsQ3wesZpG+MqcE+oZzzS7OJWYiDtpDFif4Uo/EIJ78v6Q7bApa4jqI3baD42uHRBN1yg9PhKBH2+adOfM3i41vmuZPk6w0dS/x999liZtPH0QKC9Yln+VNzaciZ2VfYs7uMz7sgY+KkX9zn4AVuV54abcdhW5CcL5pPCKM3z/sqyLTIVz5XwzBdNNJEd9ZOv5mv6bHTZmYgeghGJLIvB45kecwvzCxqZvuAl4gHplKgKBGqiRHGT14QDFJNjAhVLnfh9FjrN3IJdnochsPnhFJzRTJ00Mgr3D6uCT3NhaFdbPbP5i+jn8ranbIUwQnLeF98pzroL+Q7sTcWPcZiuuinhmGq9E5cmgAAIABJREFUaXI9QPZ63OHkiWhhp0MD1IzS8TNTcAIz5E9MINpmc2hyPTkDmyNU9oI2SHtNbb6S2jm3h3pmMZCzcV+pivlZDbqV9ma9+HV0ZKkRDb6vqal3Dp+n7eysr/GCnc65ob3sS4xyaB1jNlJw2u/nCAIMl/VENP7vXXqDmVNcUSmZh62ZGBEaMubdZucTYr8tzshIGbBq2pjDXNdX1GoD430i+rh/DstdK8/5ZyRucRymOVmL2kUjQ1QX8Pd2HKGZ3f4yVrljyRTdSorg0Z6jPhqCrrmFfT+zcxmNfIJAtJgZ2zHCLHKdGSfRqeInu6MHzA7L29042ADKV/IQbJCc6Q6zO0/H3EAYn93TsHNuIYHo08Aa59xq51w18A7g/rTH/Bx4DYBzrpl4qu7e8VzodDdsEWpclBjhZMrBqQHeua8QJ7pGdNiqCOOPOmhXZCbqskaWuHZ+42/it/4FdNFAjAgPepvG5/mZ+NTcX/iX8+XYuydN59RyC2p55hBPt8x6Ipr4fC4mA6XYeqhgHYWOZSn6RNTm0Ex3zo6gRyp8stLJLPqppdGd6i6bWicaNO4be2B0SrEzX0/NEM3+Ndn+bYPT8dTmN1XEUgKSlMdaA/ttMavdsWSt4lhrRE+NgMr13s28yIf4iWijGyi5A3SqYpp3BYFVMdc2g9RklA8Fab35NvLz6Sig0VWhPHP8wV/HZW472+zUSXgw2xJOjW5xea73ks9HmGdtDavcsUnzuZ1rQ8c3Ry/1BZcc5JJeC3vc5hHGK7J5j+OX/uWUejKbynB5N4i7rJEqoqN+Xs2nhyvCz9NZQGZGlAh7/PTKyKlv1EDUzGLALcCDwIvAD81su3Pu75xzb0k87EGg3Tm3A/gd8Bkza5+oRU9Hw0SIWAyfUPKCIOgwlu+kYsJORBM/YMFOabadXpGZrtsaaUxJOYpSRQ3DPOBfOk7Pn+iaS9WEnVgGr5Fvl3g6Cy7Ug66m2U6HhqmiymJFjUko9kSlMzlCprDmMMV2Um6z2cx1J5MjClKF8CqemhuUpKT+Cx9JaTLTQwOzKb3zZjYh/KI2DFpsEfPpyXl6PEhNRrfVrixNloap4gV/VUaH5j/6q4BTwVM4z0lTlzXkrDNNFZzMDOXpAput4c1oo+OK0Ut9wZ9fQe1jZ5G1j6lprnDq/ZR7hmh+43nN80dbTS8NnBZqy7hmC07CggOIXDWF6aJEaHY9jEdQNVYeoZwzb09Si0+Iqhw1yoVKb9h3zObRTHfFysZ8XN6SmS4amUPfqIFoB7P5WuxPC3xVRytzM4L+iejwXE4F/VY1swfM7CwzO8PM/iFx2xfM7P7Ef5uZfdLM1pvZuWZ270QuejoaJkJ14pdPJ7Pot5pkc4ZYjm+TMbFzROsYpI9aYoTH3DBBZDrqpDGjG+UwEZ7w14+5zbpn8e6rVUQxQkWP6yhU8DmzdxxnlD3mnVPxwKZQwQVnKDE7LtuJ6BCRoi+kSj0RHSiwC2ahJ6cQ38xsZzazcowICGG0WmVPVoIGIalpr6kNlHqsnjn0jXtqbjGB7UFbyGnuBC2WOUM0kH4qmsxqGPF9dfRTl9EBM5gfetyfk3iU5QyIPhd9P381PPqkvCA1N9/nR7bT9V6rY7brG5eyAI9wwZ2/99ti6hksunnW7rQemsn3U0knupbz57fX6rjfu6yo1PugPrTVz/xe7rJ45VtwIpov3TPdWE8Zx4sRoi1HIBoEYmOddJpRI8p8FruOjO7a5WKE8n4WdVkjc93JnCOdUhXaFyDw/7P35lGypOdZ5++LzKwtM2u9dfdW3960dGuxJMsSsoQsS9hgvLEdCwPGAwwMZhkGzvEBGxhjDgczDHOOGdbxAIPFMTbGRhjLi+wj2ZLdkiyppV7Vy+3u233XWjOrMrMqt/je+SPii4qMjMiMyIysyro3fv9InbcqMyszlu/93ud9nhd9142Pdz/Kt9X/PhuN8Bnw08DJp+BmAM7uVt4XontL1jxr6Ci7ekHRmaA0t0jTleiqE1+kZGRMG00p0GS2z41SsOiS5zcjsu3iUmMBwfJmFycV4WI6oq+QzuxJUwr8YOeH+Q/db0/l+SaN6Rgpt2UTNtPTpkAhZsi5IW4EgPc+pMQCzZhGR5KoI9pgjiazzEcsXG2sE/cBuO7JXs1Iis1GYEa0pA4TL9oG4WS+Ji9EtwbINoOFo5HohS1af02/p+e/n9EPcFlt8aJbnGisyIXsVbkUaz4wvBDuJawQHddgJuz54nBNznO/2uC1GNEtBgvNK4EZuxuyTp4uOzG6xkFy6MiNxJ+3P8Rf7/w1vr/9Iz3H5yA+rx/jEXWjzySnQIeXtXPdvSOrbhbt8PPfco2nGlMQuWTYiTgnzPkVNaMclxYzPXPAG7LCebXrZUCfBIM2OSpSYoU61ZRjgACe105c0b/sfjd/r/vneJjrXG+eXkPDrBCdEjrkyQULUXdOM6rYFNTEpLk1maekDqm772GX8kTiKTIyTitmgVcIcaOcpc0v2+PJc420c9l1c51UXpxZIF7X0V2eJHxd3kCXPNUTXCAkwSz0jatpM2RR3pICBZJ1RJO4sQJUpcwy9R6n2CgsJLZxEuAtxnORzqkWGycc33JDzrBIw5PaKaTHWGlfiiwQnoU5KoIV2+G4IzluydpQOWSwcDQSveDrlGnwb7rfxeu+8+4peZC3qVc8Z0yNxU7IeSTirBF2WBzamTva4IheEIdJ/2syP6bBTC9hBX9bcj2GVHAU3TI4cqWXHDavBa5fN90M0ZsDMkSjUEjkBsWmLGOheUYe5Dta/5jH7UcHPldL8nxJv4n3Wc/xXCDvVPtmRG/LKutU2YghNTVrxbQNlcbhkNnQe5RR3KThZ+Lv6t+RFffeeHLr0voAo6Q9nI5o2v4OOWyel/v4ic7H+Kfdj/Fd1uOUVIv9lcHH4TSTFaJTQlt6d9yvc87riEbbP6tEi5EkNJijSJO6KxOxyaVuZx6Xe9XNM2O6qXpxG/10yPO7+q1jGX2Y863oSn/DDEXSwCy4bqRkVvOMdvIb6wkkZv+8+0f4WPtHE/1OWpjCwYw5hC0c2gHFSqznTViIV9yFSzWGlEshiaS52263ojugm7gZyO08bkyGqJFU2lg9Rj37LER2dMch7mL+tqxhk2NetQf+XLAzVJUSS6rR9zo1imgUP9r9c06EkJS4Lme5X2325CHuhnSq91mgwbwjiRxiqnO0wRF9XAlWz1rCiY4b32Cm9z33F8L/3v5DvK/1L/i/On+crlh0xIkmOauq6ATL0y45z0jKcEPWuY+tWFmkQQTlrb+C7LDIGfZ4mBvMqg5/uvMj/Kvud0U+12tyjiazLKmDvhlzmxyvygUnuoU1LqidWAV4hzyr7I30t02SsO6zMaqKNsuKj1EFHcgsNYqUrMMhvzFZ6sxHrk8rUqLEIWkXyhaaX7A/yL+xv5vvsz5NXeb4TOGDqb7GcZMVolOC0xE1u9XC67LuSXkGDSJPrBCVOcoc9lhjj5tnNgo/2vlz/FDnfz32183IGEYlJJbBoLFoU+DT+htGfn4j7cyL04mbmDTXXSBeS8ms6Fm5AiRzdf2SfhNf0I/xFzt/k9aExg2iqFJikYY3mxXWEW1TSFyIJg2ar0iJNfZjSrlkoPlMELNAPNDRv2OTY/sEvQBuyDr3qU3uuB0hp0vrzH+1JE+TWS/XOk3iSudMoTOssxMsDKsUIyV6Cvicfjuf1O/laXcDJ6d04PdLdKV3qXbbV6wMm5E72uAYXHD7N7paFBw5+pgGM37CzoeX5SIC/HP7j/In2v87j+vHsMnFjm4xGPdZv/nTDTnDBbU70gaejcVexPzfriyyqmpssMotWeOKusP/0f2TXI2YsTebKbWITbYaC2yzyB1Z5YLajbnhr/jD1hd4YcoyJcMk615HNIW1qpGXm2M+Khv3uLDJRc5eVyl5Bnhp0iFPmwJ/IfdJXpNzfEbelfprHDdZIToltMiTd82KCtjc1qvUZAELPfBCmsbJHUaNeYrqsEf6O66N/Ci8LBd4Uj947K+bkTGMvSFulLO0+R/2+0d+frNwNQVQXBObpOxLkRw2NYqJi6cwTEc0yfutihPq/bh+K3+z80N9bqKTZFfKLKu6t2AKd83N9xUIg7CwE0VWAFQps6gaoa62/aiertkwzLV72ObASclzRZzCYV3t9XTCtlnCduMfIFpaPA5tZmK5Tr4emGGNImxGdClCotdihkXq/Fjnz/K7+q0AbOj+ucPgHJy/azbMFKwiJVapDS1wDn3H036M6LikVEM2OTZlmcfUNR5Vr/KSXOIHOz8MjNY965LnpttNb0qBLVZYVvUR362KVCbsSNkXg6S82dSo7qQpzgaNVrwiF7kla6yoGnE7aB/X3566cde4hK0RzXUwycZZFGYz1hzzSbOaJ0EtRJ57KDO0mGEmxY2cIxTfa/2Os3krj03g+Y+frBCdEjrkvQF0jXOi7bNAicOBOvQ0Tu4wGswzT68EKZjTdRw0ZYZNVrL51Iypo+qLVgmjS47P6bfRGLGA3HM7GGZ2MUlwd1ycjLd5rqgN4Cg6YVTakuMF12glSQe3Qolvtp5hlT0+qd/HP+j+2WOT5FdxFuqmMxxWiLaYSVQEWUhi1+RdKbtRQPFI4phuXM+HOXLePiEHyh0WOWSOUsCB2nYd2418fFJ3gThdqOuu+c2gWI8ws5k9KVEeINHbp8gOi/yU/Ye5X93heff88ROUPPoL0agoGYPZ4Bhm8uTfOKp5n3eahWj/xsymLHNOVXhe7qeDxQPqjjPPOuKGmDFvMp/PzIgZos77DT8mdlhiWdX7/DnuRMx2eptAA+4DX9JvpsUMxSGy72lnM2SNaL7LwxRc3809xbzOSYxyBKmHjN+YY2dSHdtP6A/wpC+P9rSTFaJTgl+aa5PjtuuaW1aDc7wmJc2tyzxzwUI0gXlAWjSZoUv+RCVjGRlhmJmrZsQCwyZHixl+yyfPPZQZzyVxGOZmZuKbBm1IjUrNnTN70LoNjF+IviiXXQfwbqLCuSpODM4uS5yhyk/b38a/tL9nrPcSl10ps6JqkaMQXbHQWFgq/qJcUIm6FV2x2KfIXMyFqKASS3PLHAydW71FOoZVSTFzoWGFz6asePOF3Ql1QOLMib4uZ7mktrlOtIRdIX2qgirFIRI9RZEmGou3qlc9x1w/O4FO0y05Q54uFpo7Q+7LFS/reDD+jaOaFx2X3ucdVlxuyQor1NFYtJjjFbnIY+pVPq3fOdJrvIQTa3HD64yOLvOvMxeqzNiVMiXVP5sYpSbYliXydCMLWwvtdcPTLPxPgs2QjSynoXJALQX3WFPMm2ifcTwY0iLsOl8JbCJnDCYrRKcAWxQ2Od9CR3GbNfYoUuYwcmgemJhrbp25nnkchWbrBIpBIz87aUfHjIwgVSkyQ8eTsYUxQ4eftz/EL9gf5C+2/zfe2fq3fKT9z/hL7b/R5xYZ9vxFDj1J1yQ6oqbTdEHtAM7M1jg868py16nGzsNrS466zxhlm2XW2OMnu3/0WOZFq1KizAHmdhjscJvxhyQdUY1KtEgy3dhCzA6OTmhUty1LrKr9gXnQCuHWCV1njVHWnu7/zG7LqnecRkWZjUucOdHrcpY3sMl1iXZhFVRPwdWUAofMMTtktrXOAufZ5R3WK6HjNsFO021Z5ZyqMENn4HXEZBEPM1iCXtm2+bzTMJgBp9gKrmO64jgCB4u6L8lbqIyw1shh84q7yWcK0STRPEHCciKbUqDBfN/GgoUd6aGxxTJr7EfGm+SweUI73a2DKYpjSUoOm50QtcC+LFDmMHGuchjmHnhHVligSUWdfIMitCPqFqJNfbx+B6eVrBCdAkwx6d8N65LnFbnAIo2BC90k8qy4tCVHmxkKvpmoHJodffwnvcnKu50VohlTRpVyaCyDny4Wv6W/gb/V+cs8qR/ij1mf5Xtzv8Nv6W/go61/yn/pfihSgronRZZoUHfP/0mYFe17c6iaAt2eKIlReEauUOYAhdCIaRISFoOzwxIdCp7Md5JUKHuSUIWmFVgMmmusSqAVFqxELuPGuTf+/rmKNMkIY9t1+hw055/DHro5MilMhmjYXO1tzqQaARFGJUbW5OtylotqJ9TMymAHvnez+I4za3mHFX6y+0dD/22b3u/lppzhAjtoFFsD7st7lBCsWBscB76NI1OApZVTbqHZD2ykbbOEYPXlMI/zGmaO12SIxsnkHESwU25mdYOSSwsJLcLA2QRaU/uR516HvLfhHnfzbhpRSKhsfZ8ii6ox1qaAwRSim7LCOVUZOh99HIQV2OYakMTZ/F4mK0SnALOzbQUWOtfkHCV1OHDnexKFqDnZ83J08xKIvNBOEjNXcGOELLCMjElSlSLLqjZwsaPJ8eHc1/hb+Z/nzeo1fl5/C5+wP8AMbc6pCj/c/Uv8mc7fCTVL2cOJfTCS3EnkiJruTVvn0CiujxkH8LR+gLeoa1Qoxy6cvdzFkLX6V/UjY72fYTSlwIGvY6VC8jm9DlVCldVegkWwWbh0JP4teVBBFGTHXQwPk3dvhhjlHAc3ZJ0l6qE+BHdk9cjwZEId0WGZr3uy4Gw8WY0hz6R6FuNeIRNrD0OFqh4UwnagUDZRH20KbBH9nZlrk4rRzfcfG6abn+b6Itg5MpseSWJaBtEh72WJ3pQznFeVkTJE/QSLDCORDr5nQbEbsZmxLUusq2qf4dQRzoUlh52KWdxJIYFj37AvC25DJY2OqFOo35EVzrE71DH6ONgP2XA0592kRufuNrJCdArwOqKBhY5gUaTJoBWQJpe6w6Q3AO57Wptc4oD2NDC7/sPmYDIyjpuKm883rPP1Gfsb+GfdP8Fvyzu9oqZGiZfkMg+qW/yOfhu/484I+alKiWXPRCd+hzEJR06xBWxyvD5GhEtXLL4u9/Nm6waHzNElTzvGTF/F/fzagXm0PF2+Jg+N/H7iEOzGKvoXD6PKg6PiH8IwC5fDBNK8JD+7I4ssDQl/75Jjc0BRM0luyBkuqy1PUmnI02VTlo6O0wk5Rw8yIAI8OW6czqZ/DrcacWwnISh51KK4I6usKOf7HLQYP9rgGP76fnd+UzQ0U5KKaqw+aa6ZJ2ykJkdV3GSdtuSc42nEDFE/wU1G8z0cBq4JNlZodAnAtiyySm2oWdQ5Ktzh9K5zbCzPtdjPPgssqoNUijKzubnBCmdVlcMJZWsnIUyxaM67STnd321khegUcDTn2X+TCxoGhZF2hIvZGe0dtFZsHbNsS+Ro1//OCe3UZ2REsUeRFVVPJJEMYqz/wwxQqhRZUgd0KGChExUecTGdJnMN2mZ5ZJffl+UiLWZYVkddozgZflVvcdf79wnwnL5/pPcSF1OAHPWLpE/+aWRzknDDL24sCBx1hZMs1sKOu493P8pPdD7W81hXLCqxMu2UZwJy3NyQdS6rrdCO6JYssS9F1wAr/YWnQg+dETXS4VqMc6PJrHcsV70NhvHu0f6CaJslOuS9uc89SpHHWSXi3ArDf67WZAGFTpQFPAiN6ou5MB3RNBfrGovX5Rw3ZJ0LascbaxiVSqC4NJvx/QV6+PpIxBkzCLpBh3Fe7Z7yESTFLdb6Nh/3pTi0oRKXhswh4mxiLKmDsZ8vDcK8AKpSYo5WKgZN9wJZIToFHC18jk7UnJsdOMzkANIvRI08KLiLukv5WGNU/Iuy4y6CMzKGUZVSKjdYhe7rBPU+v/MKaS0K/ZjdXL8Dq5mzSsoz4hgV+YPb4xQOUTImmzwvyeWJFOAGUyi09NE1uF+a6/ybBCUrMYhr0HHkwBz/bw0rWn9dv4f/z/72nmv3LmUEK1aURZ2FiUjAB+FkiK6zrvaQwJKkS45ttyNa5nAiuYk5ZOj8mlEK7Ou436dzXHnS9zHu0TbWkXwduOmqg/wbxWFupZBMIujfgKoxT5nDsQu5I1Sfa+4myyh0KrODfl6Qy2ywysrIGaJHBOW0JkYn7BzZp9inntijSId8LDfsc2p3qKv1tKNDuqJxzbKGIxwywy5l2hRiO4xPEoWOjG9ZouFdBzIGkxWiU4DpRmhfQ9Ryu6NxAnHT1qEbaW7womqTO9YTyx/YflKSsYyMMESI2WUaTh7Nbd27kBRxFjbz3vNLajI5P/tSRKF7CsZXR4xweUZfYZ4W1/XRQuQghvmGuaaELe40Fs/KlZHeTxy8AtB0PekvGsx/j7IJFzcPsSIl8nQHGtMFaYV0RHekTJPZns8smEE5jOM2ANliyc1QDDuXHOnpvhtllsacWT8y9Ht6Tc6yRD0yKzKIKRw905Ixzl3B6jG6ue0Wovv66NyKyvhO8vpB19wSh4mOx2EEv7tNWWaFOtsRktZR+Zx+B0AqJkjBmc0dWXTP0/DjJfi3mO9t2JWjyCEPq1sxfnL6ueYb77BFUaMYS9k3DAvhUGY9Kfo0FC8WEjp3X5ESy6oeKxYqYzq+y3seU0j6d9xNdqAVYyYl7YgDc2J1Qw6PQa6LaWMcx2ZpezffjIzj5EBmQ+ccm8zQZiaWYmEYOkQSecgsbQoUvMWUSiUQPMhRp+loYfWqXBrpuZ7VV3izep1n3c4oxOuIVqXsyJhU+OLuCZmcYZGR5pprTVg+p+mIdhMYCRniOudWKbFCnb0EHZEO+T5/AFMA/Z5+i/eYMViJG8Vx3PLcMDWAnx0WqVB2DE9S7p6BidoZ/LxX9SUeVLdj5+x6hai7wRCUpSbF35m75c49NnydmChJZ0XK7usP/vsUukciu4+bYZ7i511nvmczZ1OWWVfVyG7uKOTp8rv6MWD8dZGF3bdBsUuZVWqRncugcstEugx7Lw3m+IT+5jHe7fTwCkf3D9NRz6v40VdRKLcjaqL8GmPK3dNAIaFOx3tSYsXzd8gYRlaITgFHHdGjr8NIlOLMJaUuzXVvcGEZpcdZiJob47ra44C5qQgvzrh3EIE/0v4H/Hj3B/r+zXTx4piXDMMmx63ARkvVF6sCToE0qY6o02lyFwx0e3a046JF8axc4S3qNW77ukZxZJ4VI2MK2T0u0OFJe3KGRVWvG+ssJgTV5xTadhc8XZXccCbujrizg14bapoTxN8VFTmaYfuyfqP3uMkOjStxvnXMhimmEA3LEAXnXviKvsASjYlIczXW0AXjVbnEQ+pWbGWO6YxVKLHIwcCIpzg0mPfmQG/JKvM0e8xxbhNuymNef9iGiOUu8g01WWCRg1Q7ohqrZ2NqS1Y4SyX1juhRFNB46wUrpFO+K4usqlqkyiCYJWocjYfngyquj2EUNy1YaK7po7/DbBzFaagMQ3kdUfOZnrxRkaBohIzMVFzH+zDVSkY/WSE6BZiCL8z9thPDbS/tCBezexvsDACxpUlpYORya+w7r32qB/kzThtfkjfxgryBF3R/lqUpMMa/vTpsstIz12ee38QEaNREZkT3KDoLZd+C64ZO7jR5Tc7RYJ41q4ZfXhZnxqwiJVZUvWcOzqCxeE4mZ1i0K2WKPWHr/Z9zawxpblyn8YqUWaGeePTBb1jUYM7blPyafsjLpzWL47gLt1tDOpRpYxxpB3U7b7JOSR0OdR4dDTUwgmlHyuyyyBlrn7jSyR23uNpLUaJnNhRuyRkuqF1uuxsGCh0pp666GxzDXz9QiLod0bTHfvwF/6Yss6ZqoRveo9J1j48cduJNnTCCnextcfJ4o87roOut2bi/V9xTc9jc8DkVG+dwOwXJsbjZyWYNOgl1RFI0KnxGVEqUGG5QleGQFaJTgDEr6qr+ryNOblr6ZkXOgiUsjHfzGItBs8hadF04pyG8OOPe4b/avx+gp8NnMAu7pk7n3NNYPcd3mIlO3FzOJOzLAkvUvU5Tl9xIZkXGqCi48x9nps8pwvZDuzY2OV6VC2N3N6KouoWCX2oXZVakR1hMxZXmViizrOqJskGh9xptcgwfVLfYZMXrNB7NtQ1fuOWwE19nu2IhI+7IiMDv6reyTnVodMXCBBd2gzqWV12pepKuzq43I1qMFfEUB9OFuy1rXGLb25jNoSPzXyuUWKUewwSnV3Gxz0JqTqd+TPGgRbHFEoupO5867/c8u5Fd4rjYWH3Fzi6LLA8onoMy421ZGjhTercRvH94+b96/M0GQXEojjR3lf2B+bnHhWD1zYiKONf9+RT8I+4VskJ0Cmh7HdHer+Md6ipberhsZRLS3DlaHAZOMIVm6xizRM0iq8QhwNjh1BnTxd/p/AX+3+53nPTbCOVAZvkV+71ut2G1rxtmFpZpdgxu4d9JLvY9f2MCxZiZBTu6hihus9Y30zSsu/CsvkKBDjcD3dR6HNdcyiyrxsDr2DP6gch/G4ddyqxQ6+nGBiXQ5n3ZiW+XkkiaW3avc0nwv1czR/gm6wbgdPTB6aStUovVnVVIn7xwEM/oK3xT61/xcfsPJHnbHr+kfx+P67fy5/O/wtflDQN/dj6FeewoDpiLzLx9STuF6I6O913msL0Oq9noSCN2xnTXbsoaZ1XlKFYIxXaEVLQqZZZVLdYmlv9aU5OFVAxmgpjNkAoluuSZm9B3elmNnyEqWH0bCLtSjoxiyWGzFfgett1zbydl+fG0Ilhcl7Pe/dJ832msUTWKFjNsyDLn1O7UKOSCc9R15umSj2U0muGQFaJTQNtnlOHnSXmYT8u7h/9+ymZFNeYp0uzb6cmh2dHHWIi6i6w5nJ2lW2PeWDKmBxH4Zft9PK4fPem3Esqv62+kzgLvsV6kS57twCLe64imWIje8O0kG6ms//kn0RHdkyJFenduNVaPgcyv2N/Eu1r/ludDJMqGp+UB3qRu8BxXeh6PUzz7Y2qieMItqtKmKo75iF8yGMznNCMKOqEsNBczmmKcHXT/ezWbBWVq5OnyRffc2pEl1tR+rPl+G8vLdxzGVX2RH2j/bXZZ5Nf0exK/9z0p8g87P8Db1Ct8xX5kQDi9cZCfXCEK0VE7V+USCzT75rjSf1guAAAgAElEQVSjUIhXiO5JkTIHpNFZ3GSVluTZZplFdbRpYWOxGeGae7TBMfj1tdttAud4rDM/kSJxz/1c4h5jo3JB7abShdzzbSQ1pUB9QBSJQvpmR7dliTNqL9HmzmmnTcFzcd734ovSWKM685h3ZJULajf12eJRCa6TjdNyGv4R9wpZIToFmDlQPeLXkeZiGJzQ4KJq9nUzBGde5rgwiyyFkKebSXPvIvYoUmNhLAOqT9vfwIdb/ywyzH0c/qv9IS6rLU9qGnRtNrN8aWZcXvcVf2GxC5PJES2GFkAmN7EpBf5R508B0c6cIk7H8lF1rU/WO6x41qKGFmEzdHhqQh1RYyrhnz3sj2+JnuEfhIqRTwlHO+ijODD3FKJuR7QjBRTC1/SDgLsYZq8vEzEMwfJcKQdxXa/zp9o/Qg7N29XLPKkfSvz5/JPu97FLmT+Z/wy/IdGFbN7N1M4xvvPmIPYiutcvyWUeVje5KpdjPY+gvO+9mlLEEzizvqYL1HusKC/Soud9JIiYEt9s9AGz2OQoxMidTYqRCBsJ6+EErt0KzaqqpfJcexQ92bk5fwqEfy4aK7wQjXnu3U28ZgyjjLInpe/5gDk2ZIVVahOaF09Og7me0YSq+12PMspxr5IVolOAl1M3ciGarntYnXlKHPYNYdvkYptvpIGRHpkLzqR3UTOOD+NsOI4L5nNyP6/KhdidirjclDUe14/yXdbjnlHOzcBr7EmJOVrUIyJHkpKn2yMlq0qJAp2ez6dJYeRZvDA6kuOAudC8vZddC/7/x/5OTxIf9V1VKbFPkRWrgb/zYqFpDDHpqLGAxhqY+dfF4lk9GcOiipQpBqR2/TOizn/HMY7zI6hYc5mmuz7KDnqPNNddBB/IHB0KvCiX2ZMFtmWRZVWnG7MrscXSwKLyjqzw/Z0fpcUMP1z4OZ6VKzSY5wWJ7pgH+Yp+hJ+xP8oP5D7Fv+h8T6zfmfSyLmqO8yV9iYfVrdBZ8TBsV9LZlhwN5lOJeLLQ7EjZu9YFZcQHzHn53wYnAipuxNRRIWqKhzScToOYWdxNz/k0/c21FWpsxhhpikObgrfZY86vqAJDB/JewSlEV1Qt9rl3t/Cqvgg4M8HBnOpx2JMiOyxRtpKPMUwKm1zPJrHpiMaNy8rICtGpoCOjm2FAunNqAHWZp8wBjb7sM9WXkzVJTLepSw4b656St0wbt2WVv9H+odS6j6ZzFhYGHReT35X2rMh/sz+AYDGjbE+OeYNea/1BkSOjckcfdTX23Of3y8sEq082Og6mSAp2mixsXtXnuCMr/Ovud/FW9QoABxHflVlkdAOFmkI4GLIAMZ+fGrDo1eS4yXrqaoyO5Kix0CdBbAcK/pY3I5psYWFjxcphNN2SUXb4DwPS3AId73sVLL6qH2aHRcoJTGFscpEzbR3JOXJcKfP3Ch/n73b+J+99f1m/OdbzdyTHj3T+PBfYwUL3zEaHYY6rbsQMZ1qEnct7UmSTFdbVHvFLYcWOLHqFbT6FTq6FZlfK3mcVpiQJdkWTRkyZ66n33BNQFpqRAxODEyye02CXJX5Z3p/a85nv0XQ7B3Vx/ZE6Ik6MT1lNT9F0HCg0r3ABCM+pHgfTbZxluuYv/esY0/WfRNza3UpWiE4BRvrVGfFGm3Yh2sCR5oYNmO9SHinGYBTMorsjOQSrTx6ZcXz8nn4zn9AfSNT1GIQpRMcJTDcbJWmaWIk4stz3qOf5VduRC1pobgWK3ao4ks40YhnAWWz7Oy5VKYY+f5pzomZ+J9j5yCFcl3X+Sedj2Fh8JPc1IHrTwHQ1RIK3ExkqXTaL5WARG8ZTrtQ0Lcxrh0nt/NdUc33uJr5dKi8PduD7ECPzTr6D7p+rdIyX6lRc1YpC8xn9LprMJjb6iZJhvywXeVHu46/k/zt/v/ODnmqlQIff08PneGsyz493/wwvyBv4q/lP8B/tb4/xbpz7TRwH+XHYDSm+r4rT2cmpZMVkldKR1DeFgk5QVKTsfS9h182+QtSLgIp3vzZdHaN86KS8PLSwPffrLVmmzMGpMPExxbOJzxlUYBwy56lA9inSpjAxQ6ZpJY/NdW0imXpzqtMi+bV4svhHMMzxkva6/G5mur7Ne5SjeIDRvo60Q3PrzDNP+FyJTS4VK/o4mELUyFp2Wexz88w4HsyMR1odQH9HdFS5qbnhXx8hbiSKr8gbuSbn+dbc13jRLbpzaDZ07yKvKiVWqKV4LihuyRnvs9iLiH1IU8q274ts8dMhxxP6Ef6b/iB/Nvcpfrr7USC6e3HUEQ0ueIdnn1bdLufwWTHhCXnjkJ9JRnVAoeC/pralQA6bjkq+sIizUWF2+UeZo+opRKXMqqp5pkUFuvyG/S4g+Xzly25kSRBTmN2R5R7FjMbia/qhyOeryTz/ovs9fKD1k3zc/ja+z/oM/8X+UKIucNqmfEHC5viMY+6uTraQbjLrFY1JJd1h2FjsUuamnGGVfTZCZMLBzrI5t+LeM8391mxQpT2/aSFeAb0pK6yraqTJ0jRhNpN2vY7o4PWWUY0ZBdckJM7TjE3OyxLdZ4FFDrxjKi1qOv1O+jiEdUTj5jZnZIXoVGAyqUYdvk69IyrzA63b0zZHin4d54Lvd1zL5kRPhra3GZDODrZxZQ3OVyTBLITTNLH6Bfv3M0+L130xJHaIGUjVNblJcxPogDnPudOJfWj0dUDTNCza8xacwYWqos4C61TpYrkdtt7A+5737d5w24Hrl6CGFs5m8d8esuidocPT+srAn0mKWTAE3zf0XuPa5JmhO1IhtO8zO4l8H8aBeaRCtHdGdNWXx9qm4BUnSYohheb5iCiVl+UiKsQ93SbHDc6GXp9/wf4gH2j9JP9n9/t4p3WVHyv8NF+Th3hSHo79ngp0RojPSYJ4s11+XpLLzNHizghqnGtyHujP1h0NxY4scVvWOK92Q+fiowzV4s6qHTKDCOy719W05xqFowX7pixzlsqpuJ9X3AJ0R8qxMkFNvqVxWh9V6XZa0Vi85prd7csCizSojTGCE8YkjPvGwe/+X5UiRQ4jXbgz+skK0SnASGBHlRtMIr5lUAZS55i6kk2ZYYZOz2J/WOh5xmQwx+hOSmZVfnfVUW9SphOX5mLm1+1v5CPWV/hV/V7vMU2uT6pYlaKXb5smxrBoT4qUQmIf0jJ9gKOOaNT5/L/k/wf/yf42wJEnR+3weh3RwPNo1FAp8ZEsdXAR1iHPs/qBVM2aKl43tr9QaPkea1OgQHekTQebXKzPQKFHmpf2L8icPNZ6Tyas93M6fpGbx+ZlfSH0367qS1xUO1wj/N+/oh/p+e+GzPL3Oz/I/WqDHyv8NLdllR/r/AAvDMkMDfIAd/isfkei30lCDu1tzPh5SS7xoLrNVcI7xIN4RZzPKK2c710cs6JLatsrdgwWNhuB66DpxrdiLtoFixYFr2uZTuTGERrLmz/dZJkzao/mlBUUYRip+27MPF7zPRjjomGGbXcjNYpUpcg+RRbVQaobtjO0h+ZaHydFDvl33e/w7iNVKbNE49iUg3cDWSE6BXQkj0J7ndGkpHnD6IpFixlmBli3p3VjHUaTGeZo9xi0BGf1Mo4Hc4xVUrgB2KK4KWe4wDYw+pyoMddIqxDtiOMKvW7VPLmkYZMVz0nUyX0ssxCRJzcOphCNin04TFOa682y9F8/3mW9yCe73+RdkxTR86mmGOrfSFMhhme9VKWEhaY+ZIZIsNhieeSNkKYU+PHOn+7JQq14C/X+65m/I9qi4G6IjXadDYvW8FOlzCIH7I0Q8eDvou5K2c2MDPm5BAvBLjledbt5QV6WizysbnpFlh8LzRelNxf4k/b7aDDPd+a+OFIBaniR+ybq2O5E7fQXolf1JR5RN3ocreNiOqJpRVe0KfCqXGBN7feN8VhIn5GgKYSSyPkPmfVmRJspF1CCosYCIs41eymBgdZJsitHZkWrqtYX0RJk090sN5//tHXvjotrcp49KbIwJCM6KeemTNLdYJ4dlvjP9rcCjpR7WdVT84+4F8gK0SmgTc6Rfo1U4EmqHVGzcMxJ9ExR2julUTSZYZZOj/zsZorzgBnxMcdmmHwtKbdZo0ueN1hbwOgdUePImlZ8i5HS5ELMa2xyXhfigFk65JmZgAnFdc7RGRD7MKywC+M1fTY0h9P8vWHF7RP6jTzBkfmMQiJNOsyGQNhGWmPInEwFs3scrwgLK4Di8OPdP8O/t7+Dv9X5y57Z2u6AWZ7gjOis6oy8Afeb+t0D/31XnE5mZYQddL+h2x4l5q3ezZEZnGMoGMU1CHGldcGIEC2KV+QCl9VWz2yqIY/NV+3eOdGfs7+FB9Utfst+W+zXPwkEeEZf6THiq8k8tzjDOVVFRlgqvSIXyGGP5QwepEOeUogLq0axHSiQfku/gzer1xKpiA6YZV8WyNPtyxEfH0VVStSYdw200t/ISxuFeDOiO7LIGnuepD8cYcMtQLdliRx2rCzhu5Frcp59FlLfsD1HZeoy5Usc8G+730lL8lSknLJ/xN1PVohOAUb6NUpHVCGpzoiaokCpaA3cqJ3bpDRlhjl11BG10FN3AbpXMLv6aRSir2tnM2ERZ0c8ySLZj1koVSmnEiszbAfTyHPNQiSpAcwwFJobcsYrEMNiH0ZZ1P5I9y/wVzt/ve9xs+CMU9zKAJmt2RAI6/wMkxI7s7Dxi7CX9OVYP+fnk/Z7+Rn7o7xDXeVZucJ/tX+/99pztKip/oWiv4PYGmNGdI4Wv2K/d+DPVCk5brcJd9AV+ui8dI+ZoANwF4sl6kMWz/3Y5LyOnuGmrNFklqWIOIo2eZ6VK965+JK+xFfkTXy39Tifl8cSvf5xY5Pndc7xBf0W77GXXWOmQeqgQdyQdbfTne6CNB9ifqPJ9cRYXdPneFIe5tutL/OsxM/gPRSnI1rmMNUC2rDPApvuPdxK+fo5CSxsT7K9S5kVVRu4IZXH9jqh2yyxQo3tU+AMPAlekss0mE99w/asqgyd0z1u6iywwSq/aH+QPRzH+1E9X+5FskJ0CuiQp4A9UqdRIalKZU0HY9Ao1rEVoswwS9ub18qhT4W5wd2IOTbTcL8zLrfiHmVxu2FBDmTOk/2kkSVqdjCjzCU82az7GYzqch1FHs1tveoriPtjF5J2RBsyy+/pN3ND1vv+rn2KLHLgSfEGoVGRbpENt0ANuw4Nk6VVKDkGOzGKMAudeFbvdX2Wv935n3m7epn7ucMiDf5J92PUZN6ZqYwoAP1FdduV5o5ynW0yw9fk4YEjBRUpsaJqsb4HPxbiFczG0TN43dbk+Ij1FV6KcMEdxIvSW/SbwizafEXRJc/T4sTs/Jz9LRTocsDcSB3F46ZAh/+k/4D338Yxt5LQMdegsZwIppQXzQcRm26bLHsz1L+k349Cu0Zc8ePWDpmlJguU1MFEFvsN5r1r9TCDsmlAcTQ6siOLlNVwmamR7m7LEmfUvleY3kvk6fKsvt/9/+luOCyrOkmO6eOiyCH/0v4edmSRYspy5Lud6b873AM4roydETui6djDG8wuaNB4xM9xucAFZ0RtVFaInhBmEZ5GHth1WSeH7RU2oy546sxxv9oAonMPkzDMOOcGjhOgiUWI60YZFxvFHVnxOqLdvlzO5DmiX9CP0iGPDsnh3XMz3uK4+8mAKJYDmWOWduh7a1MYeL1wirB6rO5LDptr+tzQn/NeW3L8tc5fA+CP5z/HL8kH2KfIDkv8393vdSRUqh5qfOH/W9vkmaUz4kiCs2D6Fft9kT9RlRKLNEYq1owaxvwNQTktwC/qD7GfuCsnPB/opF11i9ndIZsGv6ffTEvy/KL9Qb7VeoJfsn9fwtc+GQTFb9jv8j7Lq3KJGTpDZ3zDMPL+Zere9SItahEKkg4FqpQQgU/Y38y71Yt8Sr8n0XMfMOtGbhxGvs64GHl9IxU34cmiUezLAi3JU2eBuSEyUxuLHff73pJl1qmmZvB3mhAUz2lnHjzt+Jr5AYkOJ0mDOW7IWWdE4hTIzqeJrBCdAjqSp6C6I89epjkjamSSrQHFbRLji3FoUmCBlvd6jvwok+aeBKYQTSrxC+N1OcsFtetJtEYpRDuSo80Ml5RjeHSD9bHfl+nKhXW+LLRX7JoOR1omJAZNjltyxnsfYR3IpDmiv+1zGr0RMFzZZ4ElGjFnmKKNhxrMsUDLk+gGGVQ8V6Xsug8P3+HuhshFB/FPu9/Hk/IQfzv/M/zjzse8x0sc8B/sP8jz+j53liekEFX+QrTQ596dhDlafHKAPLdCmWKIMdVwxDsGjZFPWjmzBbpc1Rd7HntZLrJMjZsDzrUZ2nxFv5Hf1O9ml0W+MffSqXE675KnQ8GTbr8kl3hgRMdc5S6+l1Ut1eiKHPZA9cCGrPCs3M8rcpFvyT0VmQcbxaE4HdFF6ok79HExGxrD5senAY3FPkXv/ApK34MIFlvufW1bFllRtdRjcE4DNjk23azbUdMgwrCwp7jbqCi6ZnGFEeX89ypZIToFHOXUjbawTVMqe9QRjS5E2ykWop+2vyEyKqApTkfU3/HdYLXHUCLjeDCh6Enn2MJ4Xc7yBja46WYcjrLzboqe81YFgFuSQiHq5e71H985NHe0s8CoDnBbHZctlrwg9P58S0ncEf2sfjsPqxsAfZEb++IUosMcaw1RC8cDmWNBNSPnQaMKVHCkuQsx5G7gLPJel7OxFBnX9To/ZX8n32d9mo/b39ZjrlNnAQXcZJ1lVQ+9fvoNnFpSYJbOyMqTJjN8VR4J3URrSoED5kKNqYaj+jqiacUk2Fhck97u88v6ohNloqOLmw55vqYf4mftD3OBHb7UfWMq7+e4WKDJz9ofRsSZcXtE3fBGCZIg7sZKOeYmSxxy2Jxnd2BhvyEr/A/7/eTpDu1ch1FnnhrzlNThxAqoq3KROVoTdUFOD0VVil6XU8f4LrdZRMS5lpdPiTPwJGml2ChZosEv62h1yUlj7oFhhocZ0WSF6BRwZFY02kInzUK04YXTRz9nW6X3en+j81f4d/YfCv23JrPuoPvRxd8mx04KXbmMZJguYZ2FsaXZ1+UsF9UOB8w70R0j7Iwbo6JZOuSwuZ1Cp7wqpUiXSxvLy4czBWta3Sc/gsXzbsRF0M3WyfKM/5qv6bNck/P8QevLgHgh44Z9HGlu3FnXqCK4wSwLNKNzRiMeP5QZmswyl6AIs8n1ZNBGcdWdZyyrQ+/z7MXpWEXtrvtVH20Kbq7yqAWFkef2d0XNsTTKHJXgk+a618S0Mgs1OV6Ri15kETgd0QfUbbYHFBCCxS6LfE6/ne/N/Q6flnem8n6OiwNmeUUu8jn9Nm7IGS6oykimI7Z7ThVjbrLEQSFcVDvcHOASfoOz/JL9fj5gPc2v2d+U+DUazFOTBRYmKH+8qi+xrvb6slCnlSoldtzNwTimeF3y3JB12swwPwFn9dNGmoq9Cou8IheH/+CJoXhEXeeWzmIGk5AVolNAx3RER+iwCOnGqZhFeGfABTctk4GW5NmnGJkj2WSGGbp9j29kWaLHjv8YG8d8oyGz7LDEslUHnOJqFOmaKXpEnAXaKHNcQaqUIoOoNRZ33AVgVUrM06I2Iee+5/T9KHRfJ1GRLJPus/rtANjKooDNDR2Q5kqReeJLQiNnRJmjSHNAoRpeiBqn3FzCGaKXY0S4GGOpqODzNjOcY5cHrNuh/95biObJh1yHkjBHi18OmRM1CoNRpqgEy5PmVqTMYoIYnDi0KXjdwIqU2GGJM1aNOAW5QjOj7FMoS1QU6PKPun8awRqxU+08DzDG74c9o/AR64mBowyftN/LbdZ4n/UCt0iefXrozojOjSQVj8cmK6xT6cs9nVbqLLCFKUTjKQ6ec+er056PPI1MQjk0zbwk9/HL+v0n/TZOFVkhOgWMY1YkKDppzoi6RcHhgItHWhcWI82JyitritMpDpJWbmRGfPzf+TjmG2Zh65+1ieqkDcIcMzYWNlYqJlZVKbkul+GStk2W6YpFRUojRWLE5Tm5nzKHfQvOQVmeYfy2fjuX1RZP2A+jUT2GTiK4C874C+U2hVADpYY4hWhUoRrVEa0kkLv5eSm0w9nLDVl35YnR39EGq/xk94+F/lsz4Jo7bDZsGE0KfFUe9rrqhsoAk6Fh+DuiO7LIsqp7ndG0eNGd5zOOuXEW1gW6fNB6+tSYFPUjvCD3AbA3ZgbkuMeNnw4FfsL+fqI2AnLYPK4fY54W1/Roowo1mafOArNjbrwM46zaS8X47ri4pp3Z9IOY19+vu9eo4zJ2nGbS9lLIuPvICtEpoCN5ZtRo0lxBpR7fMks7NLDckJYU2MxdHEYsVJ2OaP+NfJBZRsZk8B9j4wQ1G1mlkRBq1EjS3AOfhFywUtmccPIca5FmIBqLTZbZo8SyaqSSqRpGnQWWVL2v8+w418ZbCLUlx+f1Y3xAPc0T8kZsclz3zdE2mfFJTuMT1vU8YJZ51YqU+EZ1RM3nnMR9OE83dkf0gtodeq2Imqns6YhKnvzYBYWFYPHJQFfUnEtR0TiDOXIyrlBmjX0vxiUtXnA7Oy+7xkVxokxy2Kyzy6sxvqdppONe6wp02dDjKS2O083AGCR9xHqCX0/olmsw8+l5NdmMz6UpjeCI4mW5SJ5ubGO95/QVID2p/Gkkh42FThw5lnHvkRWiU0CbPAXpjpi1plKVPtSYp0hz4MUjrdczcxdRC9UmM+QDC2WF9MVQZEyetuRZwpHTDuoyDcMUQ6bToLEiv/9BHEnInc2bCoux5ncGUZESy0OiRG7LmvNz1FIPqgc8Cegyjb6CWFCxO6Jf0W+kwTyXrR1v42iLFe8zMt2IXMLZxDDjoQPmmBswUxYlYTbS3KQ75q/p4TOiN+UMl9nyJLpJUOie8YMWhRQKUUeeG5wTrXjGV6OZDJmCeUfKrKr9VLtMBbpeluZVucgMnVjKgyaz/IL+cGrv4yRYoMnD6gYvM948WidEQTApzFzqW61rVEYwAlK+nG4r5ezHI9zZ7AlKfyfBK3KBFeqxP1fTEY27cXg3ohAWaUzMfTnj7iErRKeANvmx7J5bqZoVzVNUzYFze2nJTTyDjZDFrYizoAmaeOSw2dCnY7bkbqJNgbPKcajdCTGZOJBZvr/9Izyv7xv4PNflLEUOfXO+aqT4FtOZ86sINgNzol2x+EX7A6Fy0jD2pEiZAwbt1N+SM1TdjmiaSoQgy9T7Phc9IMszyGf128nT5XXdu2lzw90I2He7uZKwKxEms3VyRKMlvlGFfWUEp9cuuVidtptyhvNqd6BjbxQKoUmvNDefgh1/kwJfkUd65LlmpjNoTBX7Od2NiYqUU3VoBed4M865L8tFrqg7vDxClMlp5IBZ3qFeThQXFEaajqHDECxW2ec5e7h0PQwLYdvdHB5tU3w4ZuMrTcnycfCqnGdN7bMdQ3Gg0FyXs47/wZjS7tNMlxxnVfVUSbAzToasEJ0COuTHsntOVZrLHCUOB2Z8pSfNdTuiIa9luq5WQCIkHMmHMo6PNnnW2QOOJNV+XpJLPK7fyuf1owOf53U5y2W1xQ2Oulqj3KxN3q1/PvoWvSZWv6nfxd/s/NDQ92SoUmJhyE79dTnLnpQmlmXWdQvrcDdbFTu+5bf1O3inusrn5bGex02W6J5b5MYt0g1hhXCD2YES3yh1xWjuw4pdFtkbIItuSZ4NVllWjQTP63+FXnOuFvnEneNwLEDxH7vf7j2yK2XmaXrfR1KazCDizNsX1WEK7/EImxxX5RIiTvbjw+qmt5Fx96P4Wf2RkRxzDY+qV3laHkzxPQ3nXepFPiXfOOJvC5vuJmNrQrONRj48akLASdFmhjX2YvkCmGvFCjV2uJfXKooHuXUPXTMyRiUrRKcAE98y8u+nOAxek3lKHA6UJ6bVgTUFTVjXwkjOguYYNjk2GN8hNSMZbQosqQYKHTojesftcG4O+W6uy1nuVxs9xjmDjrUozDHjl4nfDNzwvqzfBBDLPbItORrMDzTvsbC5JatUKTI/MWmZ09GKKnTjGDttyhLPyRXeY73A9UBki8kS3XeL/8OE146gesEWxSFzA+NHouakKlKiyOFIRdigOVEj3U9ixBSk5XYaRZxFaFJn3yjmafKf7I96c9GOzLsxsvFViwIN5mhTYDbhvG8cDpjjmpznuqxzfsQok3uV5+QBnjnmQvQ35RtpJswa9mOcbCdlMGMUGHV9+mYnl1U91qa/+RvPqD2vw3yv8mvy3lPonJ1x3GSF6BTQkfxIOXKGNGdEG8xTVIeRz6mQ1Fx6d9x5iwZzSGCdZwrRfqGZOjW273cTbclToEsOHeokaeJTBs2Pijgd0bOq2rOgPWQ2cWeuIXModM+iK1iIfsktROPE/VS9KJHo8zCH8IpcoEs+sclPUuZV+MxlnHnaz7mxLUG5v0J7WaJG9ptUTRFUL5gOaZS5iRqQfVqRMstqNPfhqxItETVzoePIIk1H1HRugsqMUTlgnn2K/Iz9rYBrkKWiDbKG0aLgGRSNcw8ZxG/odyNYkcdkxt3CkfR/Uh1L45A9TrF8UizGVByYWd119rw1TkZGRjRZIToFdBjPlTEtqSw43akFWkTNGikktR0us4DSWD0ulXA0+xTWh9inmNmiHzMtZrxjNEwWaTqilQEL6i2WaTFDKSTkPamzXoM5Fmh5C6ccNnd8M6KHMsOzcgUg1lyPVwgMaHx1sXjBnYFNq0MWRSGi0I0zI/pZ++2ssc9T9pWex/Nobrozo+Y7TKqmCHavTWdaRXweFjIgR7TMMnVvVjQuCs1Lcjny340UrCajuTX6Y1FanjIjPYoc8u+7f4i25KhImVVqnnFTUgTLU4jYE7qd/6p2DJZq97AD6L2AP0YpTZWVH8EiT3fkjZeTwHLve/E3YpzPcUXVJuojkJFxt5AVolNAizy5MXbc22kWojLH3ADjEYWktlu64ysQglmipjCNMpeOn/8AACAASURBVFMZdeGWMRot8uSVRmNFFKLOYnhQUWEcc8OMMPYTFg2mEDWFkUJ6CtGv6Ye8DZNYhah7PA06tgXLm/lJmn2ZlKhnb1LoUw/4EYHH9aO833qGL0rvbGwXy5OtGgOJpK6O9YDxhOmQRr1fhUQa8VSkxCq1xNLcPDav6nOR/35TzmChR17sCoq2200119Y0g+kbzHOHNX5Jv58qJRZVY6zNPRNdFDfjMAl5unxVP4xCs63vbZnh3Y7/XjtJt9f71CZbIYZ304o595M2C8rqYBJvJyPjriMrRKeAzphmGGmbFc0O2flLq/DdYdGziQ/OvplC1I6QbKadl5cxmDYFcmg0KnRGdMM1Chq0QWAyRPd0f4csqcV7Q+YoqkOvI2dj9URLfFkcWe5KzGzFipdpG28BNm5UzCCuqNs0ImaoJEQ94OdlucgWKzxk3e6bvRYsbzNgXxaYp5X8cw88Z8Pt0NoRpaigOIh4v6YISzp32CXnSYzDuCFnOEsl1mxwGILyOqHm2iopd8CLHPKvu9/NrpQpjWl8ZQrRSR6TF9UOrzGeg2zGtOOcw7O0J5r9eJktXhogrZ9Wkl4BMil7RkY8skJ0CmhTGCu3S2MlnrELoysWh8wNjZJJLb5FypzFiQQJSv5MfEJUDts4WZYZyXAMW8xmiQrteppu5M4Ac4bX5SwKHSrfTWpY1GCOIi3P9EV83T5w5kMfVjfokmM7xpyOJ1WNuckyyUX/NbnAf9Yfifz3Qc65X9BvAaINgqqUqcscexRZpJE4Oic4I2qK3ajrj6AGdETLI7kPCxbX5Dy2hBe/N+UMl9S25xCcHOVdf9oTit9oMMfLcok9SmMbX5lCdNQImEGYTu1D3OKVGLE5GaefRQ4mmv34OXnHqTKwMZL3uJuUhkmPb2Rk3C1khegJY4tCY2Gp8S5aaXRFTbdjmOlFGjeRphSos8A5qwr0O+eaRVXU3NP2PW2Lfrx0ySG+Y7RKqU8easyKqhQjC4TX9VnOUuUW/Xbug+I4wmjIHCUOeo6bHZZoSw5bFF/Vj/Bu9SI1FmKZW5kub9zF/EnO/gyKO/m8fpRz7PK0fiDyZ67LOvtSpKwOPPfceEjfeWreS5QxUFT2aVcs9ikyP6KzbYdCZCzADVnnotoeORIF6O+IRhzTo6OYd4vwmTEzSm/LGnm6E83ru8/a5HCETNaM00fy68LdjRklaSYtROV0ZaVmZJwUWSF6wpiFzrgzSGnIZU1Xalh3No0Z0V3XKXOVmvPagRlBsxDsRrzWVhbhcmwczck5x0WHfE9xUZc56iywThXBCpXughPdcp/a9CS6fhJ35phnQbX6CsINWeUFuY8aC1ywKoBijxLtIV38ipTI06UWszM7KGd30kQZFonAF/WjvNd6jq/Jw5G/f13Oss8CSzQSFWsWum8O0euIRt5KVKhZkXndcdyHX5GLfY91xeIOq6ypGtGTq8Mx3Q8TVaVV+rfKI2fw8a79N2XNNTya3LjCUjbvds9QnnBH9LSSZAb7Ept8Sr97gu8mI+PuIStETxizyFeDHEhiPU8KHVF3ca0HyHyFdFx6zdzegitLCxYA3oxoRCG6k82IHhvm2PIvmP2zoMYx97K1BUR/N9flLJfVVmjxk7QQPWCWefoljbdZ9fJDq75d/WHB4lVKbmE2XPJd5HCi3adhhOXugjMfus0SD1kbA+MRrnGBPSmypBqxXHgNiv4i2FwzBqkkgptM4De1Gv269yL39T22wQo2ubEyRKHfNTeqyz8OgsWbeS2x5C/IbVljRdUmNq7wALcyl/J7iEV1MFK2892Mc82Pf4+6yVlePoVzsBkZJ0FWiB4Tj9uP8lPd7+h73BR1asx1zjiZeQZz84nubjgzX2ksSoyTqeXKV2qBi7yZwQuT5uawB8aEZKRLyytEj/B//kaWu0gDCC9Eu+LETCyrA8I6VbWEUrC6zDMb4u58U87wZf1GzlLhef0G7/FhweJVKbGk6lSHSIRz2CxTj+z6HgdR0tzPa8cltzagW2th87peZ5+iO58Z/8LjOOCGd0QHzVKGFc4mO3TUa0mOLld1/8yiyRAdN8rEk+a6f1caM/hhPM/9fNz+A2M9R5Uyq+yPlMcah1e5yE/Z3zmR586YPoo00dnSsId3qxd5Sh466beRkXFXkl1tjon/pj/Av+p+T9/jR5Lak++Ims5Fa2CEhUplRnTXlZGZvzoo3zMd0W7IQlUhWSF6jJhMOb+9f9XXfbntOuYae/vtEGv+bZbQWMyGdKoUkrjDeMBs6HPdlHW+rN/EN1ov8KRv4bAxZE60SonVGAWmQlhW9Z6//7iJcrT8gn6U8+zwjL4S+bs5hJtyxnXNTebqKCHznsY1d9D1J8xcyZy/g+ZdB6GA10IiXMzc6L4er6NjNl/M3zXtC/MVVc8yCzNSIUxpcq/zWXlHYtVORkZGPKb77noXcSizoQuyjtdJGK8lmsaMaMNzwBz8XGnMiJqumemIBOV7phANkwEL6lQFYp92zLHlV4/7pa4brjTXSLrDMuKMfDdsQW+hPffbOIg4x2ohkOuWw+YJ/TC3OMOD6k6PucoGa8Gn6aEqRZZVPXSe0Y9G8c3WM2MZ4YxLmGxOxHHMfa/1db4qj0T+bhfLKURZYC5hvIBG9XdEZQ4LPVDi22Kmr6Nozt9Rr1tdcrwq/XEipiO6n9D8KkiLGc8tGiafGzsu40bAZGQYkl4XMjIyMsYhK0SPiSYFWsz0zRoduTKO9/ytFAKojTwyyiDIQaWy874ji+TpUmcBhfTFTTQ918r+haqN5ZkdZUwe0x3SPv34js8Y5Y6ssEiDPff4CZPBGvluQ/cfp873H78QPWQWwSIfcBtVCJ/TbwPADpjLbA7riEqZEocM2xDS5Pg5+8OpzEmPSlhH9CW5xA5LPGBtDLwWCBavyEUEa2hMU//vqj6ZbYM5FmgOnTUNbsIZGenokSOKLVaoBTawbsoZ1tjj9pCNhzi0yXvXunGlvpNmwcq6WBnpEKY0ycjIyJgU0313vYswi8Pggq2dkitjmh3RYRmJrTQKURZZpcYui44bZ198ywwzdLyCtBeV5YgeI94x6ttE8Uuj78gqZ1WFTbVKDpvdkG61V4iGdBwFlcgco+4+R9Bp2saiQ4EFmly1j7plOWy2hs2IUvSMs4axd4LzoRAudf2COx8ap7NsNpqSO3X3O+AeMMcCraGd5OD5bVyKxzV9MsZUhhuyziW17XVGx6HJjHetm/ZCNKgOyMgYlSz/MiMj4ziZ7rvrXYTJoAouIjveIn+8528PKR7jYBaTwzqeabnmrql9dmQRhfRZo7eYYY52RCHqdFTCusgHMsvj9qNjv7+MI8zxYOZ1LeweafSGrHCBXTZkxZ3f7d8kuCOr5OmGSqo1ioMEHdGonzV5b+9UL/FVOSpQFDJw46IpBQ6ZY/aUSNLC5io/rx/lAjs8ZT8Y+3nsEeSmwc++IXMsqObQzmaw412lxDL1sYr6PF0+qd/X89hNOcNltcV2ClEmLQqeWdG0z4iOLanJyHCZbhF6RkbG3caU313vHkxBFVywmW7TuK6MUQVbEmoyT4EOh2pwUTDIITMuO1JmzXV6DJP8NZlhNrIj6sS6hJkH/Lz9Ib6/83fZyuJdUsN836YrZCHs+Wbw7sgqZ9QeHfJoVKjz7IYsc4Y9NkPyXwUVO78TjjqiUV2qx6zX2PbNsGrUwLgfM++ZPxWdAOk7V7QovujOhz5JfGfHtk5+Hgc30g6YpUhzpI7osqqHblrERSF8xn6HN+6gRXFT1lhTNW9TYhxaMtO3CTOttE5QKp5xdzHt89AZGRl3F1khekwcEtERNfEAaryFThozog3mKdLsm7sKkkZHdIclVlSNjrv8D5qgNGWGORXdEQVCu1yvy1ngSAqaMT7m2DILFEGx50oqu2KxzRKLbuC9xuqZHzVssMp5VeFO6PeiEpnLmKKmq8MvX/OBGSeNNbBDZoqh01CGWiERKi/JJXZZ5Ip1J9F1YBSJfbCgNIVoVLapoRG47u2KI82vjNER7VBghyWekDcCsM0ibWYoqnSMe1oUjgrRFAzaJoHJ9h03izQjA+BhdYMb9vjz1RkZGRlxyQrRY6LpFaK9C7Yjs6LxdiHTmNvckyJldTC0u5HGPOqulCmqQ8ApFMI6onO0aA1YYIUZFt0W5ya6NcScJiM+5vs2HUgbiz1XYrvFshvL0nV/Orz7eEdWOKd2I7MOk3REG17MUP9x+G7reZ6y3xB4VA08HqpuRzSNTv+kUUjfZpbJD92PmcWac+cJRzmPO+R7sj8PXGnusOcKumJfd2c5m0NMjoZhoflV/V7gKLpFUuroODOi7kbhlN4qTSGahiImI+OqXOZT8p6TfhsZGRn3ENN5d70LMTOiUdLcceUwaRSiTpZibahcbtyOaFMKNJhnwZvJ6zdBaQ6ZEYVwd9ZbbkzIsLiOjPj0Zykqr5NlOpz+xf8epR5jI3A61CuqTtQEUp352GNuprtmh3SpvqLfzGfk3SHPvxBpwmXmVoeZdE0DCvGuJYYv6Ee5pLZ4WsebDzXFS2vEv9dfCDeYY442wybLGj5TokOZ4Q5rrKraSK/vp0CX3+i+CxFfdIuOP288CGdG1PmMTtIleRDmu0ziOp2RkZGRkTEtZIXoMWEkc/VAwWUyOcc1w0ijEN2VMiuqNtTJctwcUSPdzKO9x4Idk0OZYZ62J2kOYytk3tB0RIfFdWTEx3QK/V0hU7yZDNG6L5ZFY1H1SS4PZJYaRYoDXGltcrGPYdMRTdrR88+N+jF/Sxrn0KQRVM85IeI4x75HvcCTEm8+tEsOhR6qfIjCr144kDnmGB73UPNdU4x8/qiLPjotZrjOWV6Q+7xCtBazMzyMpjiuuXm6dKb22BDKNKhmcVYZGRkZGaeQrBANoWtrbtQVtRR3mU1nrxEo8vq7TaORxoxoVUoscjjU6KM7ZnfASDf9f3NUR3TQawUloB3JsYlTgIZ1SzNGw4uw8Blq7bOALcrriAa/P/93Y34mPyRiIm6Uh3mtTkIDmagIF1M0h7nRThuC6umI3mKNbZa4bG0nyPdVvIFNaiFmX3Hwf04N5piJkTvo34B7Tc45v5va5y38qn4vN+UMizTYYDWVZz1kljZ5ZumkMo4wKVZVLctVzsjIyMg4lWSFaAg7jTYf+O9zfKL9Tak8X1csT9oVXLB3Ao6kozKqzM5PhaO5zUForLFcfk2RcuCbyQvOiLaYGbjAtdB9ZkUbrHhF9E5ITEjGaBzNiB4VfoLFPkVfLEvvd7HjWxgb46hhM5jBrngUXt5tws2XqDnRipSYodPTtZtWNKoni/gpV46b1NV1gSZPSfyoFz/mXBVxZLpxMiz90lFTiIa5K4/CHG0+Zb/bzRDdSiVDFEwhWmCGboIi/7hRTh5zlquckZGRkXEKyQrREPKWM+/U0umZXhj6zYrSiW8Zd8e+KQUOmGM2RncDxpuZ2nWluU1fR6RNoafD1WSGGaKle04h2ltsGlkuOK6cGelw5Bzae4xWpMSGrHCWKhsBmbS/I206VPUhHbC4hWBD5pihQzOhtPROxNzwHiWWaITGAU0fqmdG8yn9IHm6XNfJZqK/zpWRVRhmRrdNni558mpwIarQPfmj1+Q8S9R7ztdxaDLD1+V+ntQPcVlt9R2Loz+v0xGdmfKO6Pus507FJkpGRkZGRkaQrBANIZ9zPpa0DCp6CtFIs6JxvgoZ2/HTyBP9c5uDGGdhZjqiQeMmf5HelAIzA2bPhKPZPoMxKlqmnkqgfYaDt1kS+M4rlLnDKufVLnekVw7pn9/15LtDOp5xZ/sazLFAs2/eehhRHdGqlFgaM9PyOPEXdU/JQ7xR3eA5Hji21zfdTXO+5oa4TFkBp9/X5Bz3qw2uyfmU3pGzYbjLImfUfqiJ1SgcMkNbCsyobiqjD5PAJsfP2h9OJTc1IyMjIyPjuMnuXiEUcs7CJukMWhT+QjSY99ZJIR5AIWPv2Ffcoi5uD3icIn1HyhToeLEZBn/WYJOZgZI/m1zf75sOS4kDtjOzotRoyQz5EHli1e2InlMV9gLfRU9HVFYocshOhFmQIW5HsiFzFNXw7Eo/OWy2IrrkFSmxQq3veJpWTFEnAk/pB3irepVrrtz1OKi7n5ORSCs1uBBVCAe+6941txA189xpMIdjhFWOMVoQlxYFWjgbYq0pjvapZJtuGRkZGRmnlKwQDaGQdkfUtwgLusCaxf04u/hOITreDJPpBjVjLrjGKkRZcsPsexdQ/o7ZIbNDJH+KnYD5zG1Zo8wBGkWV4thy5wyHNnkKIYXoNkvckVWWA7EsOeyembUNWeWsqnJniGRyj3hzvV5HNIGZmEIi5+j2KLGsGj2zl9OMKcCvyXlqFDlnVY+1I1Z3M1+NumNYBrL45lpbkueWnGFd7RF/22s4ZrMvR8wMoBgcijMj6pgVTeuMaEZGRkZGxuklW6mHYGZEuylJvJq+RUxwsduRPBaajhp9oaMYP1KlgilE40nQxpEC70qZNbXPTqAwaPhMUFrMDJUJB50ib8ka59UuB8whWN4sasZ4HBm29H7n1+UcB8z1xbIoxOuwgyPNPc+uZ1oURVzX3APmKJGsI6qx+lyWDRUpUeKQNAujSdKk4HRDxZHjHh5zkWQ6subzH2a0JhzJ8G/IOhqLuZiz6PFRXFZbdFLcfGqRPxUzohkZGRkZGaeVrBANQSlFTsnYxZ2h6ZecSrAj6nabxpJ+ydiuuZWEWYrjSXMXWWPfK34NZvbMvAdriOSvyWyP1Pm2rHFRbXvGHVFxHRnJcBbj3cCxITyvLwOQC2wYCKpnfndDVlhX1Z7zIIz9mK65dZmnyGHP3OEwNFb0jCglFgZknE4bgkWTGZ7SDzFLm9ft45Plgm9G1C0uW0OukxrL24AzjrmHKbh8B9mSJX7a/rZUnkshTo6oZB3RjIyMjIyMSZEVohHklEpN2jlYmusUouPJgNXYMuKkWYpjmRWxyLKq95nf1FzJn5HZWTGMk/xd0duyyjpVT+acFaLp4Bi29HaFcmheFKcQDc7P2VhefIsWxSYrLKmDga9hoanHNCs6YJYF1UosR90OmVE9lBlazMR2i54WDpjlaf0Ab1Gv8axcOcZXFk+5YP63O3QTTXnGUsagKK3oFj8tZlIrGM24g9mEScsAKSMjIyMjI+OIrBCNIGelKc0180t2SEc0XPaYlHEL0V0pM08z9pzeWPEtskgpxFSk5pqgmM8rjlDSxLQ0pcAOSyxaR8+bVrD9vU6LvNMV8nWxFMJ1WQfC8j+P5nd3KdMhz7xqD3wNCx3bBbcu88wx+PnCOGCub6MlqVv0tFCXeZ6RB3jUeo2bpJObGQcL7X2GRpobx2jNHCOvyTlKHKQW3TIpFEKTAm0KFFR0jFRGRkZGRkbG6GSFaAQ5lf6M6Czt/hlRcmN3RIXxc0SrUmaFOpWYheionYdDmeGAudDCpGE6ojHnVAFvztTEh8z4nHY3JStE06DtOof6jzGN8jqStRDToD2KaFHeXGicTYW45kMN5pgdEO0ziO1Al9x05obNOU4bT8sDHDDHGVXjOGdbFUeqDiPRjXPtOjJYOscb1CavH6PL72g4kVgtd6MwIyMjIyMjI31O1+rrGMlZKvWO6Azdvrm2juSZUf2OpEkQFJ0x4wUqlFhOkKU4arTNjmsgFNaBqkmvNFdiLLBNXuUtt8PSdt+XhWY7wpwmIxktr2t/dIya3Nsl6j2ZoQabHHsUvUK0MWRzQaN68jEHccAcMyN2qbYC8lxzvLf16ZJeflG/BQjfBJgkCvGMh0xxGWc+/cCbET3PFXWH21OvVlCe1Dc/IEYqIyMjIyMjY3SyQjSCnEqvEDULtwLdvsV2m8LYZkWSwoxoRUqsUvOkisOIa2oUxDiX6pBDz8ycmY5LnBldM/d3G6cQNQtzC93nypsxGm1Xmtv7nTubBOdVtBvujiz6CtHBs8cay4sFGfheJOcUBwOjfaLZDBgW7QXk4KeFL+hHKXLINX28nUV/FIvJ/Y2zidZklpbkueFGtxxn3MyotMnTlnxWiGZkZGRkZEyI6V8NnBC5nBq56xek5S5y8+i+juiRWdE4r6VGLgwNFcosqkZsU45RO7hmpvMg0EXxz54ZaW57yOevEK+wNdLcmmt4I6jI3MiMZLTFkeaGbcycV7tsRuSD7rDIHVlFodkfak6jPLOqQZguXE5Gy4u8Q+9soumItk5ZPMdLcpnH1DWekQeP9XU1ynOqPpC50HGDKK7KJbrkT4VDsUbRkkLWEc3IyMjIyJggWSEaQU6p1JwSzYyohe5btJlu07huj+MupCtSpky/gVAU7RFzT42b6mFAqqkQr0g33alhc3s5bC925passUzNK4psrFCX1ElwU9Z4XZ89ltc6CY4MW/ql0mvsR3bjt2WJDVZY9X0vg9iP4ZpruqZqSLRPONLXEa26HdHDmG7R08SbrdfZIjySZlIIyjtPG8yxQCt2nutz+n5gvAzi40JQTkeUPDl1uoysMjIyMjIyTgtZIRpBqjOiMuNFkRz+/+zdeZhr+V3f+fdXUkm13627b++LTdvBEMDGdkwgwQEzMUxihy22JyQQtkDiCQyTBYYnJENmhiEOT5ZJhgQYCCEEsP2Q4CR2IDCsAwY3tjE23e3uvt23+/bdb9WtRSqt5zt/6JxTkupIOpKOlqr7eT1PP32v6pR0Sqfqlj76fn/fH0U6izmNTLZvOay6jqPpOXZZG2mT+doIA4U6RdNUewcSGd6xL2G6IArE+1Ve8bPcZ1vxWlGwmW3f8t2Nb+FvN751Jo81D1HVPslmwvTjyA3OcM3PcN62+7bvdtpneBCNvkfcRx/Qk09YN7zj6yxTY8+y305k2k4P2RJnOiweKlbxZVatGrfoDvNH3g6i09i6JXvtNaI1lo7skysiIiLZUBDtI5fLZTqsqEQ9njTa2Ubb8AKlnj0ax1GfYIP4aF3oKNsUjN+au0GRBtt0t812rj07rIgOfv5b5OIXtZf9HPfbza7K223WM9sLdpDngvvjIUwnUX3A5NBB+2/e9E2u+hnus1upqtMVlmkNCZhRRTTNliG9Olu5I9usc4py/IbGcXI75b6rWYveDChTYpVqPD13mD8KHmGZ2pGq9KKqsExTFVEREZGpURDtI5+zzELMASWWacQDejpb2eosUfAWk27BMEmQjV6EG+nbHcd9vJu+yRn2jgTRzqmp1TBUD6uIOrk4AF7xc5xjt2sIkpNji+muE636Elc4S/nIXponR3tgS/KL8X6TjfO02PINrvlZzrCfOJwqybCBRdH3SG2MN4la5I5Mhb7t65yyctzifVycYY/ngvvn8tjRv18Vllmjmro190l/hIftOhe5d5qnl5loinduhH8XRUREJD0F0T5yuVx2a0R9iRL1OFh1Diyqk89kw/RJ1phGoXCUtVvjBtEtNjlnu/HQoohjcYtfVBltphgWteWbVLzEDuts5I62ifbuG5m1S343nnLi63FV6zOw5dX2Ip9u3Zf4ORaux9xik80RWkiHPY/7YehpjrHO0MkdXSPq65wZYVr0YnD+eO4Cn/TH5vLo0b9fFS+xRjX1sKJd1njUrvKy3zXN08vMXtgqnhtzMJaIiIgMpiDaRz7j1txlq8f317k+MqupjJNURKPpsr0DhAY+3pgDR275Jnexk1CptDiERK25ab6mXdZ4ye8GYCmhajftIHrR29tnlFnmpL5erbNEPmG7lKf9YX7NX5f4OY7x6eBBAIojbLWyN6TdNKq+jfuzeZNTXdfpNu2K6CRrrGdtlRpvsKfZmVN4blKg7nnKLLNitdTVboDztp3ZG3zTFld6J2tWERERkT4URPvI5ybfmzNSo8gK9XiLls6KaINs9qmb5Fyj1txRwuy4j3fLNzlt+4kvRstxa24URNNVeaMhKNWEcHytZ7uOrEVBNCCXujJ03NQokB+xPbFFjhdpPzejbE20N2RgUfQ9Mu4bITWKXVXXbV8faVr0IjigyM8Ff2bO57BMhWWWqY/0eevHYOuWo07oO0wiIiJzpiDaRzuIZlgRpRYHva4gmtGG6QG5sde0boeVlcoIW1iM35q7wbpVEz9WDisQVdr7VqbdG/VTwaMA7CcMTbk25cEoL/rhti0nsT3XHeoUx5gcelhG2g/Sf1/tDVlrG32PTNKKHk1Tdocd1lk5ZuHIyXEp7AKYlzKlcB/R0ZYVzGJ4WPZUEhUREZmGxd/QbU7yOeMgo6en6lFFtH1/nVMm6/QfBDOqdpvv6C+qt32dJRrskm5bBcNppFi/2avueQ5Y7rsm9oAS7u2q1TL1uEV3mE/6oxgBOz3bQhjB1LdwiSqi0A7C95yw16zRmzG5sfbtbKuknKoKsDNkuFTZVzACDiZopf3l4PO50jrLfws+nzpLrB2zILoIKr5MmRLFEde3z2vS7yRUDxUREZmOVG9Pm9lbzexpM3vWzL57wHFfY2ZuZq/P7hTno72PaDZB9IBiuM1F++kud1TO2humT14RBVJXEHtts8EZ9lOvOTOcxhiPddjOm5zWPGxvrY4YRD8VPMo5drnG2a7b8wRHtuvI2kU/TylsTyyfwIpoVHnMjflmSZE6t0aYXLwzrDWXEqvUOEg5qTXJ/9H8S/x06y08bi/zXYX3cSE4HlNcF8keK+03lVJ2cxhOkTo3jsnWLZ2CMfasFRERkeGGJi0zywP/Evgy4BLwETP7gLv/Uc9xG8DfBH53Gic6a3mzsap+SaoUu/ZhrHQF0aWR19/1M2677LZvcNr246FFw7SD6OjPTRREB02hLFPiwEuULH0Q3WONR+0CV7x7PahjR7bryFLLjUt+N4/bJT7ljw1tKz2ODoPoeO617a69XYfZ88FV+TIrrFEduw36EbvK1+R/kxeDu/n14HP51eC1Y93Pne5W2GmQ9k20HAEP2Y143fBxktXviKjqCwAAIABJREFUAREREemW5vXlG4Fn3f2Cu9eBnwXennDcPwT+EZC8APCYybIiWvUiSzTiv+93VHMaFMauNvWq+3gV0XG2sBgniMZBeUCbZ9lXqLLUroiOsGb1frvJTbqrny1yR27L0lXOUmeJB+wWAPtDqnnHUVRl9zHfLLmXLa752eEHho+yN6TSWfZlVq060nrmThf9Xn6o+bW8L3jzSAFZukUt72n32DSch+363Ne2jqNpx3Fdq4iIyOJL8xv2AeCljr9fCm+LmdlrgYfc/T9neG5zleWwohrFrqEeB+GauZYbAbmJ1t91P854QXSLDc7Y/khbWIwzNXdYay60h9FUwynD1RRfTz5sDTxre/iRb2ebaivgxaBd3VkLhy+lXWN7nBxOpx2vPfEu22EvZfUyT8B+imFFk1REJRvXSfvmQluBFq+zT080ZGpegmM5YElERGTxpfkNm/QKNE5OZpYD/gnwPw+9I7NvNbMnzOyJGzdupD/LOcjlLMN9RJcodLSwlcOpuYdtj/Ntzb3t66yNuIXFOO1qjTjUDGrNXabq6deIWnhf/Sbx3mad1pTWeEWDiqJJoCcxHEXfo+PukXrKyqQNsYYPD6K+zDoHh3s8ylxEFdFWyqbtKiV+qPWOaZ7S1Lim5oqIiExFmlcRl4CHOv7+IHC54+8bwGcDv2ZmLwBvAj6QNLDI3X/E3V/v7q+/++7FbtHKW3ZB9IBSvEVLjoCDeJ/McM1kZkF09GpD4MZt1lkdcXLoJBVRHxAMy74cDytK0xodhC8S+62zDcixNcKwnFFc9PMUaMZrQ/eO4UTQYWrhNQhs9Bfjq1Q5b1upj3cOt2fpp0y7NTerPX5lPDdpB9HjuR3LaNKGbRERERlNmt+wHwEeN7PHzKwIvBP4QPRBd99x97vc/VF3fxT4MPA2d39iKmc8I/mMKqINz9MiH7ffGs5BXBHN9sX0OPe3xyot8iNtw+CMt0Y0TajZZa3dymyNvsd0CqJJxN6/enpzSlu4vOjnedBu8pLfDXjX2t+TInpzozVG4GhQ4H3NN6c+3skl7gXbqcIyK+GUYpmfqCJa85P/hkCgiqiIiMhUDH116e5N4N3ALwJPAu9190+Z2feb2dumfYLzklUQjdpL8+FAIsOphqHpsKqTUUV0jGFF294eUDRazDCaY7wAjb7eQdsh7LMaThlOF0Sjts9BAWZaQfSi38MjdpVL3EOOgPKYA3QWWfTmxjiVrwYFXiZ950OAsTVkuNS+L7Oc+ntDpsHw+GeqeQdUC5uamisiIjIVqdKEu38Q+GDPbd/X59g3T35a85fPGS3yuMMYXYmxas86UMc4CMNpHBwz2jH9YIRhQ5HtcFLuKO1nAeMNcmqkCDX7rHDgRZZGqNCuUOX2gG0/rnKu78fG5d6uiP5xe54aRfI0T+Ya0fB7NJhJ4DCu+uBJthWWKaaslst0GAG3wm2RsposvshaGS3REBERkW4n/+3sMeVz7fQ56eTcak/LqHfcFq+ZzOgyjDL1NnI7fEFZGbGaOtYa0bCK2rL+z2m0RnSJdPsTArzRnuKj/uq+H78+JNyMY5sN9ljlVK4CtOuyByeyIhoF0dm0J+6xRrXP92LgRpmVkb43JHuGx1sV1e+A1tw7oeorIiIyD/oN20c+LINO+o5/NVwPGg3oCcjFVdJ6vGZyooeIjRNEo0E+o7X12liDkepDWnMNj4No55ThYX7dP4+dPnugGgE3prCX6EW/J7z/djk7wMbe23KRRVsCzXJgS783DqKK/yjfG5K9zp/eO2FoVFZD60RERKSbgmgfmVVEwxfPrbi/1+KtJ4YFs1H1BtEfaLyTX2wdGV7cJVojWhkw7CfJOIOR4jWifaprOQLKlKhRpBCuqZ1UnoBbQfZB9MVw65adoN2OG5AbOvH1OIqu80yDKMl7v5bD1uespkzLeKKf3xxBPHjtpDKCY7n3qYiIyHGgINpHFEQnfTc8CqKd6yKjIJpmzeQoOsOhO/xE6638UuvzB37ObV8PA+Bo6xsn2b6l33pDw7kdBuO8ZRNEHWPbs9++JdpDdMejSqxpjWhGrvrZxNvLQybqymxE+2quUuXgBL750qlIU0FURERkShRE+8gsiIYv5Dsrq1ELZ/Qif9CayVHUOl4w7bBGneLQKt0WG5xmn9sj7rVZG2NCb31IRdSxuFU4q6pXixw3p9Ca+0JwnvNscaljKuy+n8AgGl6zxgwnh17mrsTbo+9l7es4X4dBtHYiuwA6FWlkvs2WiIiItOkVXR85i1pzJ10j2q6IekfVM2pnS7OdySg6w+G1cJ1dZUgV6bZvcNr22R4xiE40rKjPt50DW2H1MrvROMYNT271nMSLfp6H7TovhJVR4ERWRA/XiM4miBpB/L3bKwo9jUD/bM1X+6dzzaoncl30IaekiqiIiMjU6BVdH3FFdMJKUNyay9EgWh/Sqjqqznfuo/bGypA1XNusc4a9eK1oWuME0cM1sclfb0COLd8Mjxn57vvaZoNWRmE/ctHv4SG7zm7HkKQyy3iK8/5U8AjfUf8bmbVkT1O8j+iM/qnIE3Cjz5reqDVXwWAxrFE90RXRHE6JuiqiIiIiU7L4r4TnpJBRa260pUfn/TQo0PTc0FbV0XhyRXTIC8Vt3+CM7Y38gnKSfUT7V9cs3tc0mGTz1h4BuZErvoNUvMQNznA2t9d1e4t8V3t0P78cvI5fCL6QqySvhVwkUeib1X6RDtz0U4kfU2vuYlmlOvTfl+PMcIrWHHGiuIiIiKSlV3R9RBXRSd8Nj4JJb2W1Qmno8J5RGN51rtHk0WFTLbd9nQ0OGLUZdpJhRYOqa9Geqv2qpuPqF27G8WK4dUsxYT/LNIH+qp8DiAczLbKaL1GgObNtOlrkudFvaq53T5uW+Vq16om/Fu01ogqiIiIi06Ag2kcu46m5vS/kDyjFm8FnUeExvOsxoorooEmj7u3W3FWrjfx4kwTRNOsN6xkPx8ly/WY0MXc/YX1cmoFFV8K26VHboeehzhJFmqkqvdmw4WtE/WSHn+NimQZZruZeRLP93hcREbmzKIj2kc94WFGj56mu+HKm27cYyWtEB1XoDihRp8iyNUZ+vIDcyOsuo+Cdpq036/bLvQwn2kYV0R1fO/KxNIE3ujY3+1T+FkmdwsyrQrusxdOmO0VbDB0oGCyEEvV5n8LUaWquiIjI9CiI9pHd9i1F8rRoWLHr9gql+AVOVhNJ6x2VouvxGtFS3wE6h1uljLdn56ghvU6BAs1U6w2zDqKdQ4UmddHPs0k5brHtlKY193L4ebfIrl14WqKK6KxfjCdNOt7zFZapUT3B6xKPk5I1530KU+UYy6YgKiIiMi0Kon1kNTX3gCIlGvHQosPbS3GVqZVRe1t3a277hbyT69taFq1RHHeN6qgv0BoUWEq53jDr7UJ2OVq9HNdFP8/Ddq1r65bInq8O/Nyyl+Jz2fbsBihNS90LFK0x8/bEaxxtz73o53nAbnJrCvvCyuiWOOlBFF5vT8fr1kVERCRb+g3bR1bDiqoUWaYet+hGyl7qGN6TzTvu8RpMN25wmnUq7cfqU0GK1ihWx1xzN2q7ZjuItlIF0ay3C9kdEhBHcdnP8YDdjAdCddobEnijtlyA7YTW3kVTZ4kSjZlPDr2asE70gt/HK+wKLya8ASCzt2RHh3WdJE6Of9b66nmfhoiIyImlINrH4RrRyV6AV71IiTrVnvsps0LdC+QIaNrkQdQ5DKK3OEWLPPfZFtBej5okas2tejHx48OM05q7lLLNs5nxQJr9DNs5d3yNNaqJlZI9BgfeziB6+xgE0RqFubTmXuburr+33Ljo93Kfbc1sgq8Mlkuzaa6IiIhIHwqifeTDZ2bSF701iqxY/UjYq7ASt6rWMwhdjlEL7yeaOnra9oH+FdHbPmEQHfG8G/Hgm+GfN84+pf3kaKWaZpvWLqusWPKglmGV12h96ApVdo9FEC3OfFiREXC9Z43oy343DQqsW3Vm5yGDjTirTERERKSLgmgf+Vz7qZlaay7L4UTSbKpNjsWhOWprjNZwVfrsJbodDvApD9lrtJ+R14h6gSVrpQqwWQafHJ5qiFAaVV+iTpFin0EtwyqvV2lXRFepcTvDAUrTUvcCJWa7RjRPwPWge5DTc35ffD4yf0ZA0U/+1FwRERGZHgXRPqI1olls37JMnYOesFdhmTpLqYf3DGdxWIgqoha2zvVrzb3t62xSZofxhuaMWrVMO6yoRD3z4DNoP9VR7IRrQPMJk4ZzBH2f68gVP8sZ9ggwto7DsCKWKNLIfHjUIA7c8u4g+nwYRLeOwd6rd4Jz7PIrrdfN+zRERETkGFMQ7SOrIHrgRVYSglXFizTIhxXRbEJXdD/X/Qw5grhi2W/d4pZvcMr248rouI+X/vh0FeCkCvIkAoyyj1f17XW4d+jRvkTDh1dE/Sz32i1qLB2PiiiFmQ+laZHnes/WNhf8PjYpx63NMl83Oc2zPDjv0xAREZFjTEG0j8NhRZNXRIvWoDO4GE7FS9R9iSXLqiJKHHavcoa72Imn4pZJXh95m3VOsz/2NiLjDisa9nlJFeRJBOT6PgejirZeaSRs6xNd10Eu+znut1scUKLCcryud1FFVfvZsngf3Mjzfh+P2VUu+P0zPhcRERERmQYF0T5y8bCiyVoSq+E+op2MgANKmQ4rAuItNq75Gc7bNlvhfov9qnT7vsImlaGTXvs/3njDioYGUatTy7AiCsZeRkE0qogeJGxn4ljf9biRq36Wc+zGE3cXvSoavXkwazusU+14ji8E9/GoXUncMkdEREREjh8F0T6i1txJ9/iseXuNXSejHVDrI0yRTSO6n3YQ3WI7XPtZ7jMxdo9V1u2AYMxvg3GGFRWtOTTcL3N0yvCk9jLaRzRaI5r0tQfYwDWiB17kNhus5w4nv45bjZ6Vui9RYD77Rd4IJ+dWvMQVznG37ZDUEi0iIiIix4+CaB/xGtGEFsxRVCmydOSFvHPgxdStqmnV42FF7YE4UdWt38TYfV9hhfEnX45atWzE1bX+YSJHEK4RzXZY0X7GFdFaYkU0N/BxroR7iBY7KoyLPrCoxhKFhMFMsxBVP1/w8wB9JxWLiIiIyPGjINrH4RrRyYLoASUKR4a9GFWKNGhvjZHVsKIaBWpeYJsNNsOqmxFQ6VNd3GeF5T77YaZRt1GHFeWHVtcMz3xYEbS3sAmHCE9kN2xj7teCO2i/0qthEO1saY7apxdVnULC9+9sRMH9Qjgxdy+jycciIiIiMn8Kon0ctuaOH0Td2xXR3vAVYO2KqC+lalVNq0EhHvISVWFzeOLgn8CNfZa7qnOjqidUBYedX5ogWqIxcUt0Lyc3dP1mGju+xhoH7LGW+PFBU3Ov0J74utsRqG71TIddNHWWEreqmYUr3AUcbt1yK1js0C4iIiIi6SmI9mFmGE5zgtbcBnkCcuSt+4W8Y13DirJa9+bkeDkMO1G4NZyDhEmuZZZxchNVu0bfvmX4ekPDeVXu0tjnNEgW7bk7vsYmlXitaK9B03mjiui+H37uLZ9PuPpE8Bj/tfWGgce4t69ZjgxKySMynKvhmyoXgvu4l1u8xPmZn4eIiIiITIeC6ACGT1StjNpL80deyFt7644UFcJRvRi0X6zvB+3Hbk9yPdrmGk2RnSRk9O6NOkzDC0PXGzZY4r8Gbxz7nAbJYmDRDmtsWpndPvdVZ6nvuuLLfo7T7MVrH3ME3PbkQDttP9L8c3xf4xsGHhMNZMrZ7CuieVrcDNrV4gt+H6+wKzzv9878PERERERkOhREh5ikNTcKopYQ9ipeStWqOqpLfjcAB2GLqGOJFdFoLaP7+NXYkafmUiCf4uuNvoasZVER3fU1TlOO9xNN0m841FU/y722HVdG5xlEd1hjm42B62ajivc8KqKOcdNP4d4Oog/ZdfbH3GZIRERERBaPgugAhk8WRBMCYKQSt+ZmG0Rf8rsp0ohbPoNwMFKvaO/Q5gTfAo0R9xGtUzjSpjxLgwYJpbUbVkQHTQze6/M4V/ws99mtuCLqWN8W32nb8TUaFAburxpXROcQRFvkuMEpbrHJHmucyZVnfg4iIiIiMj0KokNMVhFtV5SChKpjlRJ1T1chHMWLfg/nbZvrnAlvscR1i1FYOphgYu+obcsN8nMbfAMMrGKm1R5WVB14TL91olf9LHexEw9iapFjx9cnPqdxRAF40D6mUUV09jEUwLjmZ+JBRSIiIiJysiiIDmBk05obJAwjqrIUDu/JNpi95PdwD9tc89PxbeWEbS+iNtVJhjGNOqyo3Zp7zIMoa0O3vElqza36Eltsspk76LjV2GY+QfR2GIC36B9Ek/ZKnaUd1nkqeAiA7UBtuSIiIiIniYLoEJMEtSiINv3o0+zk2GOVfMZ7NF7nDOdtuyt0JQWjqE113D1MDe/aD3OYwI0mBXI2n/oaHO4BOq6G56mwzLI1Bh6X1JobrQtd6tkuZ2sOU3MDt/i5uOX9t4+JWnMnWUc8qQ8Hn8kSDW52vLEiIiIiIsefgugQk6yhrHoYRC05zLYrhNkHs9O2T+eWMEn7iEZrRMeteo06UXie6w0j/dZuphWFt2Ht1EmV1ythEO0N73usJr5RMU17rODh9/VN+ge86E2KVkbbC43jd4PP5GG7zvOoRVdERETkJFEQHaKVQWtua0DQmEar6iq1rr8fUDqyTnXPVzCCxEFGabSDaPqKaHRs0gThWTCCiYcV7YQTbof90OwlBNGrtIPoXkKb9KwHFu12TOq9MaAiGm3PE8zxn4mbnOaVdpmX/J65nYOIiIiIZE9BdCCbaI3oQdSaO+A+bAqtqvmE+zzoCZx7rLJGdaItMUapiB4G0fnI4ewntCi7w08138J2iqFBUWAc9nUnbRNz2c+1P5YQhgcNDJqGzuC7PWCNaFS9nXXFtte9tjXSmx4iIiIisvgURAex9rrAcdXC1txBVdVptKomrd3sXSe6zwrrVAdu3zHMaBXR6DmYV0XUqSRUI1/we/l7zW/kh5tvG3ofUUW0OmRtbL81opuUuZHQCjsoDE7D7Y7QvT1gH9PD1tz5/DMRVc83bPCUYhERERE5fhREB/AJK6JR22tjQEVpGkF0P2H/0oOe2/Z9hXWrsOcTVERHCOmjDDaaBscShzbdpN2a+h9bXzi08het/Ry0f6oRJE4pvuJnude2uBJWRjttzakimqPVFUp7Ret659WaG63Frc55eq+IiIiIZE9BdADHMlkjOkmYHUdS+2dvCNtjlQ0OEttI02qOsUaUOU1gDTAqCQH9VhgCr3OG3wo+e+B9RBXR2oBJwzk8MfBe9XPcZ7c69nc9NGhg0DREX8c6B9weUBE9XCM6n2sWvUWTpm1aRERERI4XBdEBjNHaT3vFFdGB95FtRXSDMrc4OoCm0htEfYUNKlQSJuqm4Yy3RjSweYWaXGIb8q1w+5Qlmrw3+DMD7yOqiB54/wFPhlNOCLxX/Cx3czvxe2HWW7hEFdESDbbo/9iHrbmzfSMl0iLPKfbj9bUiIiIicnIoiA5io4WtXgdepECT2qCwl3GF8Lxtcy2h6rbvRyuia1aNt/EYnQ1sUe0VhZre6b2ztJ/QhhyF9vu5ya+0XsvugMm6O75GiTr7A6bcOnYk9Fd9iVucYjN3cOR4I2Cb2Vb8bvsaSzTIEwxsC47aqee1RhSMr8r/Bk/7Q3N6fBERERGZFgXRISatiJZoUB3Qypn1CtHzdptrfjSIVnqm4+77CsvUx34cx8baR3RebZ5AYkV0yzfYoMIKNWoU+S+tN/X9/F1W2aQycLuVpBbg6+H1KCbsP5onGDgwaBp2WWeTCi1y7LHWd61vXBGdYGDXpH6i9RVsD6jaioiIiMjxpCA60OTDikrUB+7VmXWr6jl2qCZUYHtD2D4rLNskQXTUNaLt53GeW4GUE4LoTT/FGdvjgCIrVHlf64v7fv6Or7Fp5XiNZRLHjqy7vRLuIdov8O3OOIju+BqnrBy/OdCvIhsF0Yb+mRARERGRjOkV5hCTbt+yTKNPEG3XQoNMg5mzztH2T+geVtT0HBWWKdrRCl16FgeZNBpzb/NsV7drPe3EW2xwFztscYoDinzUX8XF4J7Ez99hjVOU2R2492pCEA3XOO4lTNNtkRsYbKch+jpq4fdlv31Ma0TXbH4VURERERE5mRREBzBGq/r1qlJkxWpUE4bbRNu2ZFkhPMcOpT7ttuWOtY9RZTBPMNHjjRREw2PHX5Oajd6QeMs3OWu7YcU4B3jfqmhUSUyaitup7L1BtF0RTZpm7OTYmvk+omuctv34DZJbfYYl1T2qiCqIioiIiEi2FESHGCVs9TqgyHKf1lwLg2jLsrsEtzjNTwRfkfixcke7btSmm5s4iKbf37EeV9fmqzcM3vJNTlGBcO3qCnX+Q/BFiUOVdlkLK86D26l7g+ozwYPcxW2u99mmZdbbk+z0fB1JU5ahvX3LEg0aI1xnEREREZE0FESHmHSN6LAgOospsjkCDjoG6OyFYWzSwUH1Eabmxtu3zPlbrnOtbODGNhusWjW+7YASL/vdfMRffeRzd3yNVasNfYwDSrQ6ruvv++O8NvcMT/ojicfvsjbTacK9X8fNPkG0ToEizYH7poqIiIiIjENBdBCbMIh6O4gmvZD3MATOIpgZTqUjDO+HaxxHCZJJRpkoHG/fskCtuTus0SJPyZpdxxgBvxq8tuu2wI09VijRSPU4UVX0hm9y0e/lcbucOCwJ2msw9wauO81Oy4091rq+jpv9WnNZokhzpMq3iIiIiEgaCqIDtNeITlIRXaJkDZJaOQ+D6CwqYd61pUhUEe0d3DOq3iB63U/xlto/4oXg/NFjw6FP8w6iex17iUZrI3M9m+gUaHGx52vYYxUnx1LKAU9R6Pxo8Kr2Ywy5zLNqz90Nt54phF9HnlbfYUXtimhjovZ0EREREZEkCqJDTBJEa+E+okmiADqbKbLW1R4ctadO8rXB0fWzTwcP8aw/mNiCGoXWeW7fArDTsVXJzXB/yt7KcIscl/yurtt2wwDbG1r7idaifjR4nCUaXGzdNfD4fluoZC2a0JsPvw7D+4bgui9RNFVERURERCR7CqJDtMjj6bLHEVUvskSzz0dn15rrWNca0SgkTRoweiui0fTXSsJU2frCrBE9rIhuhRXRSs9U44A8F727IroTVhLTvnGwHz4Hvx+8is+yF/g4nzHw+K0+VcmsRV9HM/w6HOu7fUy7NbcxceVcRERERKSXgmgK41YODyhR7BtE21oT7FOaVoBR6Zqa2w5jVZ80iHafe9TiedDxWIfHhhXRea8RTWjNPUgYJrXLGrc7AloU1tKGsrKvUPc8n/DH+NzcBV7y5L1J43PpM1E3a9HXUe3Y1/V2n2psnQIlGqqIioiIiEjmFERTGDeIVlmiYIO3SJlNMLOuQTn7vkKeVmJgHEVAvms67FYcRI8Gu0a8fcs896R09jqqtbfC1tx9T94XtLMqGlUS0wbRXdb4lD9KnSJnbJ9hW75E5zJt0ddRj9+EsL7DimphRVRrREVEREQkawqiA0TRobfyl4Z7e/uW/JCdM1szGVZE17CifVZYoxpPz51EZ3vudtia29kGHB/nBYxgpEm7WcsTdO0jess32aTM7T4h8Hm/L/5ztEY07VYmu6zx++GgouvBsJDpfQcGZe12uB608+u4zUZi+3nNl1QRFREREZGpUBAdJMyI44SnOgWcHPmhFdHZBLNyRyVw11dZ56BrK5NxdVbLoopo0r6pNQos0ZprEDWcckdI3vJNztluPLSo1wW/P/5zNOSo6ke/tiT7rPDR4FU8YDd42h8eeGyegO0+6zSzFk3NPej4OuosdX1/HN7e3kd0vlVsERERETmJFERTGKc1NwpjefoH0bfknuAWp8Y+r1F0rhHdZ4UNq3RtZTKupIpoLWHtaYMCSzTnGkSd7kB+0zc5x248tKhTgSYvdqzr3PE18rQSA1uSPV/h94PHeZ09wyf9sYHHGt53YFDWdnyNEnX26X68pIpsnSWWbPAaZxERERGRcSiIpjBOeIqCqA3Y7uOXg9cnbnUyDXWK8XrOPVbZ4CDexmUSja6KaP/hP4sRRHNUOtaDbrHJWdtNDJeO8VJwuOXKDmtsUokrioMYAc8ED3CNszyau0Yt4fnoFJDLPIgGntzyHX0dOz1fRzTxuFM9rGKLiIiIiGRNQTSF5hiTbaMWTp/RGtA0om1V9n2FdaskttCOquFHW3OT1lE2wjbPeQ6+CbCuduT2GtEKSYOEWuS7KqK7vsqmlY8EuCQ5nN8JXgOkq6YHWN/JteMoe4m31f83/mHj64587Lavccr2uyYCw+EE4U51lgZsPyQiIiIiMj4F0QGieDJJa673qUzNQ9Se2x5WVGPYJNc0otDpPrg1t+4Flmy+QRQs3rqm5cY266xare/RNzgTD3naYY1TlNlNUbk0nG02WKHKc617U51XVsOK3OF/aXwzn/THeCIcltRphzVOczRQ30zYPqbuBQqqiIqIiIjIFCiIDtQOauNMzY2CaLBAFdFy2Ja656ss0z+AjSJ6bvZZidtu+1VEl2h2VVDnYS+cmrvNBk6O0pA1kFFVdMfbQXQvxaThqBn7c+wCH/fHU53Xdp/JtaP6d6238AvBF3Kava6KbmTH1zhl5SNb99z0o2uVaxQVREVERERkKhREUxhnsm0URBu+OE9x1Jq7xwola2Ryn1H47KzoVRd0WBEQ76ea1Iqa5IVwL9Fd1tiwCkGKHxkPj/ns3Atc50yqx2lQ6BooNY6PB6/k+5t/hS/OfZyztss2m3Hwjuz6Gmsc0FkNNwJu9VkjOmzqs4iIiIjIOBYnJS2iePuW0Sui0fYY47T1TkuFEnXPU6NI0bKpdEXBsnPYTdK+k9FWIPMOogeUaLnFQbQ+ZP3vc/4A0F4jupqyihxVwTesOtKEM/zPAAAgAElEQVS5bSeEwbS2fIO/Xv8O7rFtXpt7jgvhefdWRW8ntCPnCeL9RTvVWRo49VlEREREZFwKogNksUY0TQVtVsq+zH7YWppVwIjWg0YV0WVqiUOQoorofNeItu2zwq1w79CK969C5mly0c/j3l5buWz1lI/Q/s65EhxddznIFT830vGd/k7jW7jBKb6z8PP88+ZXxrdHFV2Ahucps5LYjtwbRAM3GhTIKYiKiIiIyBQsTkpaYOOsa4y27Fikiugeq+yHrZpZrVyt91REV6gfWX8I7cE3i1ARhXYQHbTVTMSAl4K7qFCiSYGlEarIX5T7Qz7prxjpvJ4OHhrp+MiBF/mV4HV8Xf6X+YHGu7re/Hje74//vBu+CdG77rNF7sgU3ei65iyDhasiIiIiIj3mnwqOgXGqeNW4NXdxsn6ZVXbDNZKtjKJoPQxyUUW0SCNuS+7UoMAqVVoLEMz3fYVbvokRxME8SZM8L/k98YTZUarIzwX3c4X0Fc4cLZ728YLoM/4ATo41q7PF4drXAk0udrTmRnuV5nr2tnVycYU4En3P5wfsgysiIiIiMq7FSUkLrJGw5nGYqD21OecpsZ3KLMf7aNaDbAJhtB50yzcohHtO9mvNLWS0LnVSUWvuacpdwe0o4zJ3cSucKDvKnrCjhFBoh9wLft9InxN5KngYgNvB0VD9cnBX/OcoUCetee7dPia6rqYgKiIiIiJToCCawjjtpNUFbM3d92X2vd2eWcuoGB5VzrbZ4DT7NCjEbcmd2mtEFyOI7oUV0TO2OySIttf4PhkGvWlOQG5Q4Nng/uEHJnjaH2KZGlf9bNft7Yru3fHfo3WgBwlvjuyySrPj64uuq2KoiIiIiEyDgugAUf1rnNbcaO3hIqyJbHMqlNgLK6LjbEmTpBZXRNc5Y/vUWEqsiNYpLMyelLusccs3uYtdbvnwSbWfCNd6JrUcZ8e4xll2B7QK9/Npf5BX2mWepre1t13RbYSTgXejimjC9jpOjtscDiyqRV+rkqiIiIiITIGCaApj7SPqRQo0E0PZPORwKl6K10TWE8LIOKIWzm3f4Cy7VClSZ4nAree4AvlFCqJscs52OQj3Vh3k48ErgeRtabL2bLjtyiieCh7i1fYSlzqqn5EW+Xgab7RGtNbn2ne258YVUctqrJWIiIiIyCEF0UHC1+BjDSuiyDL1hQmihnNAKZ6cWs0oVEUV31tscsb242FEtZ77b3iBwoJsBbLHKrd8k3UOhh6bI4iHCPULcFn6dNgGnNaWb3CDM5zP7eB9fpyjgUXRGtGkqcYAtxL2gm1NsR1ZRERERO5cepWZwjjrPGsUKdFYrCDqRfZ9hQJNKikqgWnUw/WG277RFex6w06DQmZ7l05q29fZYZ01qw09Nk+LBksYQd8Al5UcAU8yWhB9KtzyxQY8t8/TXnt629dZocpe+GZEr2goExy++ZLVdGURERERkU4KogNEL8GTpowOU/UlVqy2MEHUMSqU2GeFDQ76hpFR1SnQcuM266x2BLveiuuiTM3NEXApaLewptkXNKr4rlON11hOS54WzwX3jvQ5UbX2ZpA8dClHwPPevs8d1tik0rUWtNNNTsd/jqq/TVVERURERGQK9CozhXHWiB5QaldEpzrgJr0A48BL7Pkq63YQb+MyqTpL7LJGQI5iR7Dr/brrFI7sXzkPRtA1STbNZwCcYj9ubZ2WBgUujDg592l/iNPs8WLHfqGd8rR4KdzCZcfXOGXleK1or5t+GGajimigfyJEREREZAr0KjOF+hh7gW75BqfYX6iK6EFcEa2w55NXRA2n4Xm2wiE3ne2hvV/3orTmGsShrTrCdR0U4LLTnnK77+nbpqNBRZ/23om5bS3yXPaOINonUOdpse2HldJojWig1lwRERERmQIF0RRGbc11h6f8YR63y/FwoPkzyiyz66tsUMmkImo4DfJsh0NuGh3BrnM9ZcuNgBxm86+IBhg7YWtqxdOv+Txl5am35kbSTs4N3HjGH+SVuct990MNyHHRz+Pebs09ZeXEfV4N7wqitTiI6p8IEREREcmeXmWmMOqwoiucZZc17srtwgJVlMq+zD4rrFk1o61InDpLcUW00jFVtnPCbPRYi9Ca2xmsqiNMwV3nYGZ7wj4dJFc3e73sd1FmhbO2P/C4Mitss8GOr7FONfEYx9hJqIiOM6hLRERERGSY2byyPqbMDHCaPtqL8afCLTgWbeuLCssUabLWJ4yMymhXi6P9JzvDbedU3mi9ofn8g2j0xkCOgL2UFU7DWWH4hN0s5Ah4KuXk3KdG2Fbmot/DDmusWD3x4y1yXUOMonb0RfseFhEREZGTQUF0CMNHrgo96e0gca1jO4xFcECJvAcsWyOz+2ySZ4uoInoYPjuDaFRJtMUpDnOGvfi8h9mkzKvs0pTPqC1PiwspJ+dGE3NveHJbbqdnggc5YJlS32tvXPGz/ELrT/K838tvtv440A6oIiIiIiJZUxAdwhi9PfGp4GHu5yYXfLQJqNPWoMAOaxQzDKINL7DNBsvU2LU1ou7bzjWihy2ti1ARbbvLdrr2zRxkh3Xe03rnlM+orUme54J0a0SfCh7mQbvBcynWlP6BfwbQDrr93OIU39F4N0bAvWzz3+d+h1spQq6IiIiIyKgURIdoV0RHqwo95Q/zmbmL/HbwWVM6q/G1t1lpZnZ/UUX0NPvxWlHoCaLxEKPFKYmes11e8NH27JwFJ8cl7qbipa59WZM87Q/xKntp6PdZgSafDB4FBl+BN+c+zgNcZ9s3uMi9/HrwuewvzLAtERERETlJ1HeXwigV0aovccHv4xG7xgHpt+GYpayGBjnt9Z/bvsFZ24vXikL39i3RGtGFWCIaOs1+4vTYRfHckGp6zQs87/fyiF2nyvDpv9F60saA9c6/FnwePx38d3zQv4BP+WMKoSIiIiIyNQqiKYwSRJ/1+2mRZ31INetksHgf0bPssd0x7ObAD0NetP2NL9Ai0Q2rzPsUBnraHxz48Qt+H00KrNnwwVNN8nHoHmVSsIiIiIjItCiIptC5P+YwT4WDim774laTstob0rG4NfeU7dPsWAvaXRFth5+WL04QXclwnWzWjICn/NGBxzwdfp/teZqq++HzXlc3voiIiIgsAAXRFEZZI/pU8DAl6lwOzk3xjCZTG3E7mn4caFJgyzdY76jM5fCuyls0rGiRtgJZGjC0Z94KtHh2yOTcp4KHKNDkanB2pPtOs9WLiIiIiMi0LU4yWGCtEVpzn/RHeNxeTr0X5DzUR6jwDmaUWWavZ39Kw6l17Cka70m5QMOKFmi56hFN8lwIBq8Rfdof4pV2hWcY3MLbq7yg65ZFRERE5M6SKoia2VvN7Gkze9bMvjvh499lZn9kZp8ws18xs0eyP9X5aFf90gVRd3gyeJhX24u87HdN98Qm0MiwPfO6nwZ6K4zdrblxRXTEbXCm5TO4xG6wuIHMyfESdw9cz/l08BCvthdHmvy7ToU91rI4RRERERGRiQwNomaWB/4l8OXAa4B3mdlreg77GPB6d/8c4P3AP8r6ROfFMZopW1lvcIotNjmfu40vcLE5y/bMW7T3meytMNYSWnN9QSqiz/Ig7w2+ZN6nMZCT4w/9FYkfe2/zi7nMXTxi11Ov983R4hRldhRERURERGQBpHkV+0bgWXe/4O514GeBt3ce4O6/6u7RGNIPw4j9ggvNUq8RfSpot+MucgiF7q1VJhV9rd3tvtbVmhtNzQ0WJIgeB8vU+Pb6d/BU8FDX7b/ceh3f0/xmvjD3h1wM7kl9f3kCNq3MriuIioiIiMj8pUlMDwAvdfz9UnhbP98EfGiSk1okTvqW0mhi7s1gY8iR81OiTmUK6wQ7t2txrKsiWo9bcxc7oC+SFkaLHO+o/z0+FrwSgCeCV/E3Gn+T19hFPtNe4gP+hanvr0meP5t7QhVREREREVkIaZJBUhkrcdaLmX0d8HrgPX0+/q1m9oSZPXHjxo30ZzlXlnpN5VPBw5xniwt+35TPaTyGs0GFPbLfWqbaUQENsHjfSoB6GEqz2jbmTtCgyC6rFGnyl+rfy083v4RvrP9t7rNbfHn+9/ix1leMdH9Ojn/a+up4Kx0RERERkXlKkwwuAZ39gQ8Cl3sPMrO3AN8LvM3da0l35O4/4u6vd/fX33333eOc71w0UlZEn/SH+GO5l/i0PzT84DnIEbBhB+yxkvl9V7r2szQOEoYVBQu0j+hx0KLADTbZsArf2/xmStT55sKHeE/zL455j3r+RURERGQxpAmiHwEeN7PHzKwIvBP4QOcBZvZa4F/TDqHXsz/N+UpTRWp4nmf9QR6zK1OpOGZlgwr7nm0QXafCbda7bkuemquK6OhyXPMzvCH3NN+59PP8g8ZfWfg1yCIiIiIiwwztOXX3ppm9G/hFIA/8uLt/ysy+H3jC3T9AuxV3HXifmQG86O5vm+J5z1Sa7Vsu+H00KLBpBzM4o/EYzrodZB5Ez9oe23Sviz3wUvznRdu+5fgxPhK8mo8Er573iYiIiIiIZCLV4kd3/yDwwZ7bvq/jz2/J+LwWSiPF9i3RoKJdX9z9KQ3ns+wFfpvPzvR+z7DHRT/fdVtnRbQeBtC0Lc4iIiIiInKyqccvhWaKvP5k8DAFmlwNzs7gjMbTYIn/0npT5vd7xvbY7ZnGmtyaqyAqIiIiIiIKoqmkqeQ95Q/zSrvM0zw8gzMa32Xuyvw+N6kcmYjbOUW34QXytFIFehEREREROfkURFNIs0b0qp/lYbt+pEX1TrBu1SO3BeTjluY6SyzRVGuuiIiIiIgACqKppAmiZZZZpn5H7pVZsnri7VF7bp0CS7SoqyIqIiIiIiIoiKaSJohWvESJxgzOZvEsESTeHrXnNiiEFVEFURERERERURBNJW1FtGjNGZzN4mlhibdXwy1cGuQp0ky1H6uIiIiIiJx8CqIpNCng3v/jLTeqlFiy1uxOaoFUvZh8e9ia2/ACS6aKqIiIiIiItCmIpjSoKlqmvXdovk+L6kn2uF2i5skBs3uNaJN6n+NEREREROTOomSQUpM8SyRXPCthEM3dgUH0GX+QZ/zBxI/FFdF4jaim5oqIiIiIiCqiqQ0KUWVvB1HX09ml4lFFdEnDikREREREJKbklFJzQIiKKqItTx7ac6c6CJ+XBgWKCqIiIiIiIhJSEE1p0BrR/bAiWne1nnaKg6jnKVpD+4iKiIiIiAigIJraoNbcSkflTw5VaG/fUqfAkjfVuiwiIiIiIoCCaGrNAdXOchxEVRHtdNA5rOgO3dpGRERERESOUhBNaVC1s+KlocfciaL9RRsUKPSZOCwiIiIiInceBdGUBlU791lpH6N9Mrt0bt+iICoiIiIiIhEF0ZTSTM2tqiIaM5yDaPsWL1C4A/dYFRERERGRZAqiKQ3eR7REiTrVMJAKGAE1loD2sKK8KqIiIiIiIhJSEE1p0PYtFZZZpUY5bNEVMIiDaIMCeVVERUREREQkpCCa0sCpub7CqlUph9uVCIB3DSvKm4KoiIiIiIi0KYimVB+w/rNMiTWqlF2tuYdMFVEREREREUmkIJpSIwxVSSoss0Y1Hlok4LRbc92hzhI5BVEREREREQkpiKY0aI/Qsi+zxgEVtebGHKPmS/Ha2pz5nM9IREREREQWhYJoSoNacysss2J1XE9nzDGqFOPnzeZ8PiIiIiIisjiUnFIa1Jq7zzIr1GZ4NseBcUApriTnXBVRERERERFpUxBNaWBF1Jcp0Zzh2RwPnRVR1JorIiIiIiIhBdGUBu0jWmaZJWvM8GyOh6oXO9bWqjlXRERERETaFERTavQJok3PUaNIQftkHnFAkYZHQVQVURERERERaVMQTanZpzW3HG7ZUtD2JEfUOKyIuqsiKiIiIiIibQqiKTU8uSIa7R2qfTKPqlGkFgbRwBRERURERESkTUE0pX5rRMveDqKq+CXbZwWAQM+PiIiIiIiEFERT6rdGtEIJgKaeykS7vga019KKiIiIiIiAgmhKTtOT14jue7viV+/z8TvdHqsAtKz/1GEREREREbmzKIimYPiAimi7NbehpzLRnqs1V0REREREuik9pWAMWCMatua2+kzVvdPt0m7NDbSPqIiIiIiIhBREUzC87xrQikcVUbWeJokrovpWExERERGRkNJBSv0rou0gWvOlWZ7OsRGtEVVFVEREREREIgqiKQ0NoiiIJtkJp+a29K0mIiIiIiIhpYOUmt5nWJEvs0yNgzCQSrd4jai2bxERERERkZDSQUqDKqKr1OLpudJt18PtW/StJiIiIiIiIaWDlAYNK1q1GvsKoomiNaL9gryIiIiIiNx5FERTcKDVJ0jts8wq1Xh6rnTbiyuiCqIiIiIiItKmIJqCYzQ8eZ/QCsusUY2HFkm3Pdrbt2h7GxERERERiSiIpmJ9W3PLvsw6BxxQnPE5HQ91lijQpElykBcRERERkTuPgmgKg1pzK5RYsRqup/IIIwBgiSYNBVEREREREQkpPaVifYPUvq+wTH3G53M85HAAlmgpiIqIiIiISExBNKV+axwrLFOiOeOzOV6KNKgpiIqIiIiISEhBNKV+Fb0yJYrWmPHZHBdRRVStuSIiIiIickhBNKWkimjD89QpUrDWHM7oODAAlqzVd+qwiIiIiIjceRREU0qa+loJt2zJh5U/6eZREFVFVEREREREOiiIptTwoxXRMiUATEE0URAG0SJN6gqiIiIiIiISUhBNKamiV/F2RdSVQ/uIgmhDFVEREREREYkpiKbUTFgjWg5bcwM9jQMV1ZorIiIiIiIdlKBSSgyiYUW01mdrF2krWrPv9jciIiIiInLnURBNaVBFVBNhByvQJGrTFRERERERURBNKSmIRlNzkz4mhwpoexsRERERETmkIJpSk8KRoURRa66C6GAKoiIiIiIi0klBdAStnqcrqojWfGkep3NsKIiKiIiIiEgnBdER9FY+96MgSnEep3NsFAjmfQoiIiIiIrJAFERH0LsFScWXWaZGhdKczuh4yKsiKiIiIiIiHRRER9AbRMsss0otbtGVZAVTRVRERERERA4piI6gtzW34iXWrBpv4yLJcmrNFRERERGRDgqiI2gcWSO6wipVyr4ypzM6HvIKoiIiIiIi0kFBdARN76mIsswaVcpaIzpQznz4QSIiIiIicsdQEB3BkTWiXmKNKlVNzR3IUBAVEREREZFDCqIjOLJGlGVWrIbraRxIBVEREREREemkBDWC3iBa9mWWqc/pbI4Px+Z9CiIiIiIiskAUREfQO6yozDIlGnM6m+Oj5QqiIiIiIiJySEF0BM2eNaIVlilac05nczw8wA1W7WDepyEiIiIiIgtEQXQEjY6puXXPU2eJgmlrkkFe5m5+tPXn530aIiIiIiKyQBRER1DvqIgesAxoj0wREREREZFRKYiOoMFS/Of9MIhqaxIREREREZHRKIiOoHMf0Yq3g6hrEI+IiIiIiMhIFERH0BlEy2FFtKWnUEREREREZCRKUSPoroiWAKj1bOkiIiIiIiIigymIjqAziO6zAkDLFURFRERERERGoSA6gq6KaNia21BFVEREREREZCQKoiPoDJ3lsDW3M5yKiIiIiIjIcAqiI0iqiNZ8qd/hIiIiIiIikkBBdASNjvWg+95eI1pHQVRERERERGQUCqIjaHa05lYosUIt3sZFRERERERE0lEQHcF+R+gss8wK1bhFV0RERERERNJREE1plSrvbb6Zy34WgIovs2aqiIqIiIiIiIxKQTSlCsvUKPC3Gt9O4EaZZVapUnEFURERERERkVGkCqJm9lYze9rMnjWz7074eMnMfi78+O+a2aNZn+giMJzfDj6Lf9v6Msoss0aVMqV5n5aIiIiIiMixMjSImlke+JfAlwOvAd5lZq/pOeybgG13/wzgnwA/mPWJLoIaJU6zxw80/wcuBPexzgEHCqIiIiIiIiIjSVMRfSPwrLtfcPc68LPA23uOeTvwk+Gf3w98qZlZdqe5OG6zQZ6Aq5xjxerAifwyRUREREREpiZNEH0AeKnj75fC2xKPcfcmsAOcy+IE58k9+fZ6uI1LifoMz0ZERERERKTN+4WVY6KQ4pikkl/vV53mGMzsW4FvDf+6b2ZPp3j8ubDi6nrh9L2f0e/jq7lG/oO2w+XWz7VmeV6TCg52Lbeyeby/a08gXZfFpWuzmHRdFpeuzWLSdVlcujaL6ZhcF3/LD1x+xhvVyrxPZIBH+n0gTRC9BDzU8fcHgct9jrlkZgXgFLDVe0fu/iPAj6R4TJkSM3uiuXvj9fM+D+mm67K4dG0Wk67L4tK1WUy6LotL12Yx6bpMX5rW3I8Aj5vZY2ZWBN4JfKDnmA8AXx/++WuA/9ePe61YREREREREpmJoRdTdm2b2buAXgTzw4+7+KTP7fuAJd/8A8P8AP2Vmz9KuhL5zmictIiIiIiIix1ea1lzc/YPAB3tu+76OP1eBr8321GRK1Bq9mHRdFpeuzWLSdVlcujaLSddlcenaLCZdlykzddCKiIiIiIjILKVZIyoiIiIiIiKSGQXRE8bMTpvZ+83sKTN70sy+wMx+zsw+Hv73gpl9PDz2UTM76PjYv5r3+Z9UZvbqjuf542a2a2bfaWZnzey/mdkz4f/PhMebmf1zM3vWzD5hZq+b99dwEg24Lu8Jf4Y+YWb/wcxOh8frZ2ZGBlybf2BmL3fc/hUdn/M94c/M02b2Z+d5/ifVgOui3zMLwMz+JzP7lJl90sx+xsyWw2GTvxv+nvm5cPAkZlYK//5s+PFH53v2J1ef6/LT4b9VnzSzHzezpfDYN5vZTsfPzPcNu38ZT5/r8m/M7PmO5//zwmP1umwK1Jp7wpjZTwK/6e4/Fv6yWXX32x0f/yFgx92/P/yl85/d/bPnc7Z3JjPLAy8DfwL4G8CWu/+fZvbdwBl3/7vhi+v/EfiK8Lh/5u5/Ym4nfQfouS6vpj39u2lmPwgQXpdH0c/MzPVcm78K7Lv7P+455jXAzwBvBO4Hfhl4lbsfq72ej5PO6+LuFztu1++ZOTCzB4DfAl7j7gdm9l7a8z2+Avh5d//Z8I2AP3D3Hzazvw58jrt/m5m9E/hKd3/H/L6Ck2nAdbkOfCg87N8DvxFelzcDf8vd/9xcTvgOMeC6vJn2v1nv7zler8umQBXRE8TMNoE/TXuKMe5e7wmhBvxF2i/WZH6+FHgufOH2duAnw9t/EvgL4Z/fDvxbb/swcNrM7pv9qd5R4uvi7r/k7s3w9g/T3j9Z5qfzZ6aftwM/6+41d38eeJZ2KJXpOXJd9Htm7grAirX3dF8FrgBfAkQvqnt/z0S/f94PfGl4/SR7vdflsrt/MPwd78Dvod8z83Dkugw4Vq/LpkBB9GR5BXAD+Akz+5iZ/ZiZrXV8/E8B19z9mY7bHguP/XUz+1MzPds71zs5fJF23t2vAIT/vye8/QHgpY7PuRTeJtPTeV06fSOH71qDfmbmoffavDtsjfpxC9vZ0c/MPCT9zOj3zJy4+8vAPwZepB1Ad4DfB253vLHW+XMR/8yEH98Bzs3ynO8ESdfF3X8p+njYkvuXgf/a8WlfYGZ/YGYfMrPPmukJ3yGGXJf/Pfwd80/MrBTept8xU6AgerIUgNcBP+zurwXKwHd3fPxddL9ouAI8HB77XcC/D6uqMiVhu/TbgPcNOzThNvXRT0m/62Jm3ws0gZ8Ob9LPzIwlXJsfBl4JfB7t6/FD0aEJn66fmSkZ8G+Zfs/MSfimzNuBx2i3p68BX55waPRzoZ+ZGUi6Lmb2dR2H/N+023J/M/z7R4FH3P1zgf8L+I+zPN87xYDr8j3AHwPeAJwF/m70KQl3o5+XCSmIniyXgEvu/rvh399PO5gSth18FfBz0cFhC9ut8M+/DzwHvGqmZ3zn+XLgo+5+Lfz7tai1I/z/9fD2S8BDHZ/3IINbRmQyvdcFM/t64M8BfylsndLPzHx0XRt3v+buLXcPgB/lsP1WPzOzlfQzo98z8/UW4Hl3v+HuDeDngT9Ju4Uw2je+8+ci/pkJP34K2JrtKd8R+l0XzOzvA3fTfpMGAHffdff98M8fBJbM7K7Zn/aJl3hd3P1K2H5bA34C/Y6ZKgXRE8TdrwIvmdmrw5u+FPij8M9vAZ5y90vR8WZ2dzhsAjN7BfA4cGGGp3wn6q0WfAD4+vDPXw/8QsftfyWc0vYm2i0jV2Z3mnecrutiZm+l/S7o29y90nG7fmZmr/fadK7J+Urgk+GfPwC809qTQB+jfW1+b2Zneefp/bcM9Htm3l4E3mRmq+Faz+g1wK8CXxMe0/t7Jvr98zW0B7SpwpO9pOvypJl9M/BngXeFb6wBYGb3Rmt1zeyNtF+r35rDeZ90/a5LVBww2uupO3/H6HVZxjQ194Sx9pjpHwOKtH/Z/1V33zazfwN82N3/VcexXw18P+3Wwxbw9939P83+rO8MZrZKe33BK9x9J7ztHPBe4GHa/yh+rbtvhf8A/gvgrUCF9nV8Yj5nfrL1uS7PAiUOf/l/OJwsqZ+ZGepzbX6KdluuAy8Afy16MRC2Un8j7evzne7+oaT7lckkXZfw9n+Dfs/MlZn9r8A7aD/fHwO+mfY6tp+l3Wb4MeDr3L1mZsvATwGvpV0Jfae7602CKehzXcrARWAvPOznw0nT7wa+PTz2APgud//t2Z/1ydfnunyIdpXagI8D3+bu+3pdNh0KoiIiIiIiIjJTas0VERERERGRmVIQFRERERERkZlSEBUREREREZGZUhAVERERERGRmVIQFRERERERkZlSEBUREREREZGZUhAVEZE7jpk9amafTLj918zs9WPc3z8ws7+VzdmJiIicfAqiIiIiC8bMCvM+BxERkWlSEBURkTtVwcx+0sw+YWbvN7PVzg+a2bvM7A/N7JNm9oMdt7/VzD5qZn9gZr/Se2MWUl8AAALPSURBVKdm9i1m9iEzW0l6UDN7Q/iYv2Nm74kqs2b2DWb2PjP7T8AvWdt7wsf/QzN7R3jcm83sP3fc378ws28I//yCmf2gmf1e+N9nZPFEiYiIZE1BVERE7lSvBn7E3T8H2AX+evQBM7sf+EHgS4DPA95gZn/BzO4GfhT4anf/XOBrO+/QzN4N/HngL7j7QZ/H/Qng29z9C4BWz8e+APh6d/8S4KvCx/5c4C3Ae8zsvhRf1667vxH4F8A/TXG8iIjIzCmIiojIneold///wj//O+CLOj72BuDX3P2GuzeBnwb+NPAm4Dfc/XkAd9/q+Jy/DHw57ZBaS3pAMzsNbLj7b4c3/fueQ/5bx31+EfAz7t5y92vAr4fnNczPdPz/C1IcLyIiMnMKoiIicqfyAX+3Pp9jCZ8X+STwKPDggMfsd7+Rcopjm3T//l7u+bj3+bOIiMjCUBAVEZE71cNmFlUM3wX8VsfHfhf4YjO7y8zy4cd/Hfid8PbHAMzsbMfnfAz4a8AHwtbeI9x9G9gzszeFN71zwPn9BvAOM8uHLcF/Gvg94CLwGjMrmdkp4Et7Pu8dHf//nQH3LyIiMjeayiciIneqJ4GvN7N/DTwD/DDt9Z24+xUz+x7gV2lXJj/o7r8AYGbfCvy8meWA68CXRXfo7r8VbuPyX8zsy9z9ZsLjfhPwo2ZWBn4N2Olzfv+BdmvtH9CubP4dd78ansN7gU+E5/2xns8r2f/fzh3aIBAEUQCdSZDXAH3gKIEKztEBljYQaOqhC4rAD+JOkSBIYO7Ee2qzYjNZ93cmm3mP6bF5/OI+AKBNVpnaAYAumTlU1XNenyNiW1WnH539iIjdhwAMAKuhIwoAvQ5zt3UT05jtcdlyAKCfjigA/EFmXiNi/7Z9qarbEvUAwJoIogAAALTyay4AAACtBFEAAABaCaIAAAC0EkQBAABoJYgCAADQ6gXYPEiE84C8dwAAAABJRU5ErkJggg==\n",
+      "text/plain": [
+       "<Figure size 1152x648 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "areaplot = trades.groupby(['block_group','isRound']).trading_volume.sum().reset_index().pivot(index='block_group', columns='isRound', values='trading_volume')\n",
+    "areaplot.divide(areaplot.sum(axis=1), axis=0).plot.area(figsize=(16, 9))\n",
+    "plt.legend(loc=1)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 24,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "trades['isDirect'] = trades['transaction_sender']==trades['agent']\n",
+    "trades['isDirect'] = trades['isDirect'].apply(lambda x: '2- Traded directly' if x else '1- Traded via proxy')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 25,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<matplotlib.legend.Legend at 0x7fafc925ff90>"
+      ]
+     },
+     "execution_count": 25,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 1152x648 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "areaplot = trades.groupby(['block_group','isDirect']).trading_volume.sum().reset_index().pivot(index='block_group', columns='isDirect', values='trading_volume')\n",
+    "areaplot.divide(areaplot.sum(axis=1), axis=0).plot.area(figsize=(16, 9))\n",
+    "plt.legend(loc=1)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 26,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>DAI_balance</th>\n",
+       "      <th>ETH_balance</th>\n",
+       "      <th>UNI_supply</th>\n",
+       "      <th>ts_minute</th>\n",
+       "      <th>ETH_price_DAI</th>\n",
+       "      <th>UNI_price_DAI</th>\n",
+       "      <th>50_50_hodler_value</th>\n",
+       "      <th>50_50_hodler_return</th>\n",
+       "      <th>UNI_hodler_return</th>\n",
+       "      <th>ETH_hodler_return</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>5810.15</td>\n",
+       "      <td>30.4969</td>\n",
+       "      <td>30.0097</td>\n",
+       "      <td>2018-11-02 00:00:00+00:00</td>\n",
+       "      <td>190.516</td>\n",
+       "      <td>387.219</td>\n",
+       "      <td>190.516</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>5988.86</td>\n",
+       "      <td>29.6193</td>\n",
+       "      <td>30.0097</td>\n",
+       "      <td>2018-11-03 00:00:00+00:00</td>\n",
+       "      <td>202.195</td>\n",
+       "      <td>399.129</td>\n",
+       "      <td>196.356</td>\n",
+       "      <td>0.0306502</td>\n",
+       "      <td>0.0307579</td>\n",
+       "      <td>0.0613005</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>6010.55</td>\n",
+       "      <td>29.5135</td>\n",
+       "      <td>30.0097</td>\n",
+       "      <td>2018-11-04 00:00:00+00:00</td>\n",
+       "      <td>203.654</td>\n",
+       "      <td>400.574</td>\n",
+       "      <td>197.085</td>\n",
+       "      <td>0.0344792</td>\n",
+       "      <td>0.0344901</td>\n",
+       "      <td>0.0689583</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>6144.36</td>\n",
+       "      <td>28.9117</td>\n",
+       "      <td>30.0298</td>\n",
+       "      <td>2018-11-05 00:00:00+00:00</td>\n",
+       "      <td>212.521</td>\n",
+       "      <td>409.217</td>\n",
+       "      <td>201.519</td>\n",
+       "      <td>0.0577507</td>\n",
+       "      <td>0.0568101</td>\n",
+       "      <td>0.115501</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>11322.7</td>\n",
+       "      <td>53.8018</td>\n",
+       "      <td>55.6061</td>\n",
+       "      <td>2018-11-06 00:00:00+00:00</td>\n",
+       "      <td>210.451</td>\n",
+       "      <td>407.245</td>\n",
+       "      <td>200.484</td>\n",
+       "      <td>0.0523192</td>\n",
+       "      <td>0.0517188</td>\n",
+       "      <td>0.104638</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>321</th>\n",
+       "      <td>1.33713e+06</td>\n",
+       "      <td>6051.31</td>\n",
+       "      <td>5354.83</td>\n",
+       "      <td>2019-09-19 00:00:00+00:00</td>\n",
+       "      <td>220.965</td>\n",
+       "      <td>499.409</td>\n",
+       "      <td>205.741</td>\n",
+       "      <td>0.0799114</td>\n",
+       "      <td>0.289734</td>\n",
+       "      <td>0.159823</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>322</th>\n",
+       "      <td>1.31479e+06</td>\n",
+       "      <td>6063.89</td>\n",
+       "      <td>5314.48</td>\n",
+       "      <td>2019-09-20 00:00:00+00:00</td>\n",
+       "      <td>216.823</td>\n",
+       "      <td>494.795</td>\n",
+       "      <td>203.669</td>\n",
+       "      <td>0.0690403</td>\n",
+       "      <td>0.277818</td>\n",
+       "      <td>0.138081</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>323</th>\n",
+       "      <td>1.30814e+06</td>\n",
+       "      <td>6095.48</td>\n",
+       "      <td>5314.24</td>\n",
+       "      <td>2019-09-21 00:00:00+00:00</td>\n",
+       "      <td>214.608</td>\n",
+       "      <td>492.315</td>\n",
+       "      <td>202.562</td>\n",
+       "      <td>0.0632288</td>\n",
+       "      <td>0.271413</td>\n",
+       "      <td>0.126458</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>324</th>\n",
+       "      <td>1.29778e+06</td>\n",
+       "      <td>6166.66</td>\n",
+       "      <td>5322.89</td>\n",
+       "      <td>2019-09-22 00:00:00+00:00</td>\n",
+       "      <td>210.451</td>\n",
+       "      <td>487.622</td>\n",
+       "      <td>200.484</td>\n",
+       "      <td>0.0523184</td>\n",
+       "      <td>0.259294</td>\n",
+       "      <td>0.104637</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>325</th>\n",
+       "      <td>1.26846e+06</td>\n",
+       "      <td>6306.03</td>\n",
+       "      <td>5320.14</td>\n",
+       "      <td>2019-09-23 00:00:00+00:00</td>\n",
+       "      <td>201.15</td>\n",
+       "      <td>476.851</td>\n",
+       "      <td>195.833</td>\n",
+       "      <td>0.0279071</td>\n",
+       "      <td>0.231477</td>\n",
+       "      <td>0.0558141</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>326 rows × 10 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "     DAI_balance ETH_balance UNI_supply                 ts_minute  \\\n",
+       "0        5810.15     30.4969    30.0097 2018-11-02 00:00:00+00:00   \n",
+       "1        5988.86     29.6193    30.0097 2018-11-03 00:00:00+00:00   \n",
+       "2        6010.55     29.5135    30.0097 2018-11-04 00:00:00+00:00   \n",
+       "3        6144.36     28.9117    30.0298 2018-11-05 00:00:00+00:00   \n",
+       "4        11322.7     53.8018    55.6061 2018-11-06 00:00:00+00:00   \n",
+       "..           ...         ...        ...                       ...   \n",
+       "321  1.33713e+06     6051.31    5354.83 2019-09-19 00:00:00+00:00   \n",
+       "322  1.31479e+06     6063.89    5314.48 2019-09-20 00:00:00+00:00   \n",
+       "323  1.30814e+06     6095.48    5314.24 2019-09-21 00:00:00+00:00   \n",
+       "324  1.29778e+06     6166.66    5322.89 2019-09-22 00:00:00+00:00   \n",
+       "325  1.26846e+06     6306.03    5320.14 2019-09-23 00:00:00+00:00   \n",
+       "\n",
+       "    ETH_price_DAI UNI_price_DAI 50_50_hodler_value 50_50_hodler_return  \\\n",
+       "0         190.516       387.219            190.516                   0   \n",
+       "1         202.195       399.129            196.356           0.0306502   \n",
+       "2         203.654       400.574            197.085           0.0344792   \n",
+       "3         212.521       409.217            201.519           0.0577507   \n",
+       "4         210.451       407.245            200.484           0.0523192   \n",
+       "..            ...           ...                ...                 ...   \n",
+       "321       220.965       499.409            205.741           0.0799114   \n",
+       "322       216.823       494.795            203.669           0.0690403   \n",
+       "323       214.608       492.315            202.562           0.0632288   \n",
+       "324       210.451       487.622            200.484           0.0523184   \n",
+       "325        201.15       476.851            195.833           0.0279071   \n",
+       "\n",
+       "    UNI_hodler_return ETH_hodler_return  \n",
+       "0                   0                 0  \n",
+       "1           0.0307579         0.0613005  \n",
+       "2           0.0344901         0.0689583  \n",
+       "3           0.0568101          0.115501  \n",
+       "4           0.0517188          0.104638  \n",
+       "..                ...               ...  \n",
+       "321          0.289734          0.159823  \n",
+       "322          0.277818          0.138081  \n",
+       "323          0.271413          0.126458  \n",
+       "324          0.259294          0.104637  \n",
+       "325          0.231477         0.0558141  \n",
+       "\n",
+       "[326 rows x 10 columns]"
+      ]
+     },
+     "execution_count": 26,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "real_history = events.iloc[1:][['block_timestamp','token_balance','eth_balance','UNI_supply']].reset_index(drop=True)\n",
+    "real_history.columns = ['timestamp','real_DAI_balance', 'real_ETH_balance', 'real_UNI_supply']\n",
+    "freq = 'D'\n",
+    "plot_data = real_history.copy()\n",
+    "plot_data.columns = ['timestamp','DAI_balance','ETH_balance','UNI_supply']\n",
+    "plot_data[['DAI_balance','ETH_balance','UNI_supply']] = plot_data[['DAI_balance','ETH_balance','UNI_supply']]*1E-18\n",
+    "plot_data['ts_minute'] = plot_data['timestamp'].apply(lambda x: x.floor(freq))\n",
+    "plot_data = plot_data.drop_duplicates('ts_minute', keep='last')\n",
+    "plot_data.index = plot_data.ts_minute#,format='%Y-%m')\n",
+    "plot_data = plot_data.resample(freq).pad()\n",
+    "plot_data['ts_minute'] = plot_data.index\n",
+    "# plot_data['ts_minute'] = plot_data['ts_minute'].apply(lambda x: x.date())\n",
+    "plot_data = plot_data.drop('timestamp', axis='columns')\n",
+    "plot_data = plot_data.reset_index(drop=True)\n",
+    "plot_data['ETH_price_DAI'] = plot_data['DAI_balance'] / plot_data['ETH_balance']\n",
+    "plot_data['UNI_price_DAI'] = 2 * plot_data['DAI_balance'] / plot_data['UNI_supply']\n",
+    "plot_data['50_50_hodler_value'] = 0.5 * plot_data['ETH_price_DAI'][0] + 0.5 * plot_data['ETH_price_DAI']\n",
+    "plot_data['50_50_hodler_return'] = plot_data['50_50_hodler_value']/plot_data['50_50_hodler_value'][0] - 1\n",
+    "plot_data['UNI_hodler_return'] = plot_data['UNI_price_DAI']/plot_data['UNI_price_DAI'][0] - 1\n",
+    "plot_data['ETH_hodler_return'] = plot_data['ETH_price_DAI']/plot_data['ETH_price_DAI'][0] - 1\n",
+    "plot_data"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 27,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# %%capture --no-display cell_capture\n",
+    "#avoid warnings in cell output\n",
+    "\n",
+    "import matplotlib.pyplot as plt\n",
+    "import numpy as np\n",
+    "from IPython.display import HTML\n",
+    "from matplotlib import animation, rc\n",
+    "rc('animation', html='jshtml', embed_limit=50)\n",
+    "from matplotlib import cm\n",
+    "import matplotlib.ticker as ticker\n",
+    "\n",
+    "\n",
+    "\n",
+    "fig, axs = plt.subplots(ncols=4, nrows=3,\n",
+    "                       figsize=(15,9),\n",
+    "                       gridspec_kw = {'hspace':0.4})\n",
+    "\n",
+    "#grid setup\n",
+    "gs = axs[0, 0].get_gridspec()\n",
+    "# remove the underlying axes\n",
+    "for ax in axs[0:, 0:-1]:\n",
+    "    for i in ax:\n",
+    "        i.remove()\n",
+    "axbig = fig.add_subplot(gs[0:, 0:-1])\n",
+    "ax1 =  axs[0][3]\n",
+    "ax2 =  axs[1][3]\n",
+    "ax3 =  axs[2][3]\n",
+    "\n",
+    "plt.close()\n",
+    "axbig_colors=cm.Paired.colors\n",
+    "\n",
+    "xlim = float(max(plot_data['DAI_balance'])*1.3)\n",
+    "ylim = float(max(plot_data['ETH_balance'])*1.3)\n",
+    "\n",
+    "ax1_ylim = max(plot_data['UNI_supply'])*1.1\n",
+    "ax2_ylim_t = max(max(plot_data['ETH_hodler_return']),max(plot_data['UNI_hodler_return']),max(plot_data['50_50_hodler_return']))*1.1\n",
+    "ax2_ylim_b = min(min(plot_data['ETH_hodler_return']),min(plot_data['UNI_hodler_return']),min(plot_data['50_50_hodler_return']))*1.1\n",
+    "ax3_ylim_t = 0\n",
+    "ax3_ylim_b = 0\n",
+    "for i in range(len(plot_data)):\n",
+    "    y1 = plot_data.iloc[i]['UNI_price_DAI'] / plot_data.iloc[:i+1]['UNI_price_DAI'].astype(float)\n",
+    "    y2 = plot_data.iloc[i]['50_50_hodler_value'] / plot_data.iloc[:i+1]['50_50_hodler_value'].astype(float)\n",
+    "#     y1 = y1 ** (365/(i+1)) #for annualized returns\n",
+    "#     y2 = y2 ** (365/(i+1))\n",
+    "    y = y1/y2-1\n",
+    "    ax3_ylim_t = max(ax3_ylim_t,max(y))\n",
+    "    ax3_ylim_b = min(ax3_ylim_b,min(y))\n",
+    "ax3_ylim_t = ax3_ylim_t * 1.1\n",
+    "ax3_ylim_b = ax3_ylim_b * 1.1\n",
+    "\n",
+    "def animate(i):\n",
+    "    axbig.clear()\n",
+    "    ax1.clear()\n",
+    "    ax2.clear()\n",
+    "    ax3.clear()\n",
+    "    a = plot_data.iloc[i]['DAI_balance']\n",
+    "    b = plot_data.iloc[i]['ETH_balance']\n",
+    "    k = a * b\n",
+    "    x = np.arange(a*0.05, xlim+a*0.05, a*0.05)\n",
+    "    y = k / x\n",
+    "    axbig.plot(x,y,color=axbig_colors[0])\n",
+    "    axbig.plot(float(a),float(b),color=axbig_colors[1],marker='o')\n",
+    "    axbig.fill([0,0,float(a),float(a)],\n",
+    "            [0,float(b),float(b),0],\n",
+    "            color=axbig_colors[2])\n",
+    "    axbig.plot([0,float(a)],[0,float(b)],color=axbig_colors[3])\n",
+    "    axbig.set_xlim(left=0, right=xlim)\n",
+    "    axbig.set_ylim(bottom=0, top=ylim)\n",
+    "    axbig.set_xticks(ticks=[float(a), xlim])\n",
+    "    axbig.set_yticks(ticks=[float(b), ylim])\n",
+    "    axbig.set_xlabel('DAI')\n",
+    "    axbig.set_ylabel('ETH', labelpad=-12)\n",
+    "    axbig.set_title('ETH and DAI balances')\n",
+    "    axbig.legend(['bonding curve', \n",
+    "               'current balance', \n",
+    "               'A*B = k = {:.2E}'.format(k)],\n",
+    "             loc=2)\n",
+    "    labels = axbig.xaxis.get_ticklabels()\n",
+    "    labels[1].set_horizontalalignment('right')\n",
+    "    \n",
+    "    plot_data.iloc[:i+1]['UNI_supply'].astype(float).plot(ax=ax1)\n",
+    "    ax1.set_xlim(left=0, right=len(plot_data))\n",
+    "    ax1.set_ylim(bottom=0, top=ax1_ylim)\n",
+    "    ax1.set_xticks(ticks=[])\n",
+    "#     ax1.set_xticklabels([plot_data['ts_minute'][i].strftime('%m/%d/%Y')])\n",
+    "    ax1.set_yticks(ticks=[float(plot_data.iloc[i]['UNI_supply']), ax1_ylim])\n",
+    "    ax1.set_title('UNI supply')\n",
+    "    ax1.yaxis.tick_right()\n",
+    "\n",
+    "    ax2.axhline(0, color='gainsboro')\n",
+    "    plot_data.iloc[:i+1]['UNI_hodler_return'].astype(float).plot(ax=ax2, label='Liq. Provider')\n",
+    "    plot_data.iloc[:i+1]['50_50_hodler_return'].astype(float).plot(ax=ax2, label='50/50 hodler')\n",
+    "    plot_data.iloc[:i+1]['ETH_hodler_return'].astype(float).plot(ax=ax2, label='ETH hodler')\n",
+    "    ax2.set_xticks(ticks=[i])\n",
+    "    ax2.set_xticklabels([plot_data['ts_minute'][i].strftime('%b-%d')])\n",
+    "    ax2.set_xlim(left=0, right=len(plot_data))\n",
+    "    ax2.set_ylim(ax2_ylim_b,ax2_ylim_t)\n",
+    "    ax2.set_yticks([float(plot_data.iloc[i]['50_50_hodler_return']), \n",
+    "                   float(plot_data.iloc[i]['UNI_hodler_return']),\n",
+    "                   float(plot_data.iloc[i]['ETH_hodler_return'])])\n",
+    "    ax2.yaxis.set_major_formatter(ticker.PercentFormatter(xmax=1))\n",
+    "    ax2.yaxis.tick_right()\n",
+    "    ax2.legend(loc='upper left')\n",
+    "    ax2.set_title('Strategy Returns')\n",
+    "\n",
+    "\n",
+    "    y1 = plot_data.iloc[i]['UNI_price_DAI'] / plot_data.iloc[:i+1]['UNI_price_DAI'].astype(float)\n",
+    "    y2 = plot_data.iloc[i]['50_50_hodler_value'] / plot_data.iloc[:i+1]['50_50_hodler_value'].astype(float)\n",
+    "#     y1 = y1 ** (365/(i+1)) ## for annualized returns\n",
+    "#     y2 = y2 ** (365/(i+1))\n",
+    "    y = y1/y2-1\n",
+    "    x = plot_data.iloc[:i+1]['ts_minute'].apply(lambda x: x.strftime('%b-%d'))\n",
+    "    ax3.bar(x=x, height=y)\n",
+    "    ax3.set_xlim(left=0, right=len(plot_data))\n",
+    "    ax3.set_ylim(ax3_ylim_b,ax3_ylim_t)\n",
+    "    ax3.yaxis.tick_right()\n",
+    "    ax3.xaxis.set_major_locator(plt.MaxNLocator(5))\n",
+    "    ax3.yaxis.set_major_formatter(ticker.PercentFormatter(xmax=1))\n",
+    "    ax3.set_title('Liq. Provider vs. 50/50 hodler \\n from Day-0 to {}'.format(\n",
+    "        plot_data['ts_minute'][i].strftime('%b-%d')\n",
+    "    ))\n",
+    "    ax3.xaxis.set_label_text('Day-0')\n",
+    "    ax3.grid()\n",
+    "\n",
+    "\n",
+    "\n",
+    "    fig.suptitle('Uniswap ETH-DAI, {}'.format(\n",
+    "        plot_data['ts_minute'][i].strftime('%Y-%b-%d')\n",
+    "    ))    "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 28,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# anim = animation.FuncAnimation(fig, animate, np.arange(0, 500), interval=1)\n",
+    "anim = animation.FuncAnimation(fig, animate, np.arange(0, len(plot_data)), interval=10)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 29,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "\n",
+       "<link rel=\"stylesheet\"\n",
+       "href=\"https://maxcdn.bootstrapcdn.com/font-awesome/4.4.0/\n",
+       "css/font-awesome.min.css\">\n",
+       "<script language=\"javascript\">\n",
+       "  function isInternetExplorer() {\n",
+       "    ua = navigator.userAgent;\n",
+       "    /* MSIE used to detect old browsers and Trident used to newer ones*/\n",
+       "    return ua.indexOf(\"MSIE \") > -1 || ua.indexOf(\"Trident/\") > -1;\n",
+       "  }\n",
+       "\n",
+       "  /* Define the Animation class */\n",
+       "  function Animation(frames, img_id, slider_id, interval, loop_select_id){\n",
+       "    this.img_id = img_id;\n",
+       "    this.slider_id = slider_id;\n",
+       "    this.loop_select_id = loop_select_id;\n",
+       "    this.interval = interval;\n",
+       "    this.current_frame = 0;\n",
+       "    this.direction = 0;\n",
+       "    this.timer = null;\n",
+       "    this.frames = new Array(frames.length);\n",
+       "\n",
+       "    for (var i=0; i<frames.length; i++)\n",
+       "    {\n",
+       "     this.frames[i] = new Image();\n",
+       "     this.frames[i].src = frames[i];\n",
+       "    }\n",
+       "    var slider = document.getElementById(this.slider_id);\n",
+       "    slider.max = this.frames.length - 1;\n",
+       "    if (isInternetExplorer()) {\n",
+       "        // switch from oninput to onchange because IE <= 11 does not conform\n",
+       "        // with W3C specification. It ignores oninput and onchange behaves\n",
+       "        // like oninput. In contrast, Mircosoft Edge behaves correctly.\n",
+       "        slider.setAttribute('onchange', slider.getAttribute('oninput'));\n",
+       "        slider.setAttribute('oninput', null);\n",
+       "    }\n",
+       "    this.set_frame(this.current_frame);\n",
+       "  }\n",
+       "\n",
+       "  Animation.prototype.get_loop_state = function(){\n",
+       "    var button_group = document[this.loop_select_id].state;\n",
+       "    for (var i = 0; i < button_group.length; i++) {\n",
+       "        var button = button_group[i];\n",
+       "        if (button.checked) {\n",
+       "            return button.value;\n",
+       "        }\n",
+       "    }\n",
+       "    return undefined;\n",
+       "  }\n",
+       "\n",
+       "  Animation.prototype.set_frame = function(frame){\n",
+       "    this.current_frame = frame;\n",
+       "    document.getElementById(this.img_id).src =\n",
+       "            this.frames[this.current_frame].src;\n",
+       "    document.getElementById(this.slider_id).value = this.current_frame;\n",
+       "  }\n",
+       "\n",
+       "  Animation.prototype.next_frame = function()\n",
+       "  {\n",
+       "    this.set_frame(Math.min(this.frames.length - 1, this.current_frame + 1));\n",
+       "  }\n",
+       "\n",
+       "  Animation.prototype.previous_frame = function()\n",
+       "  {\n",
+       "    this.set_frame(Math.max(0, this.current_frame - 1));\n",
+       "  }\n",
+       "\n",
+       "  Animation.prototype.first_frame = function()\n",
+       "  {\n",
+       "    this.set_frame(0);\n",
+       "  }\n",
+       "\n",
+       "  Animation.prototype.last_frame = function()\n",
+       "  {\n",
+       "    this.set_frame(this.frames.length - 1);\n",
+       "  }\n",
+       "\n",
+       "  Animation.prototype.slower = function()\n",
+       "  {\n",
+       "    this.interval /= 0.7;\n",
+       "    if(this.direction > 0){this.play_animation();}\n",
+       "    else if(this.direction < 0){this.reverse_animation();}\n",
+       "  }\n",
+       "\n",
+       "  Animation.prototype.faster = function()\n",
+       "  {\n",
+       "    this.interval *= 0.7;\n",
+       "    if(this.direction > 0){this.play_animation();}\n",
+       "    else if(this.direction < 0){this.reverse_animation();}\n",
+       "  }\n",
+       "\n",
+       "  Animation.prototype.anim_step_forward = function()\n",
+       "  {\n",
+       "    this.current_frame += 1;\n",
+       "    if(this.current_frame < this.frames.length){\n",
+       "      this.set_frame(this.current_frame);\n",
+       "    }else{\n",
+       "      var loop_state = this.get_loop_state();\n",
+       "      if(loop_state == \"loop\"){\n",
+       "        this.first_frame();\n",
+       "      }else if(loop_state == \"reflect\"){\n",
+       "        this.last_frame();\n",
+       "        this.reverse_animation();\n",
+       "      }else{\n",
+       "        this.pause_animation();\n",
+       "        this.last_frame();\n",
+       "      }\n",
+       "    }\n",
+       "  }\n",
+       "\n",
+       "  Animation.prototype.anim_step_reverse = function()\n",
+       "  {\n",
+       "    this.current_frame -= 1;\n",
+       "    if(this.current_frame >= 0){\n",
+       "      this.set_frame(this.current_frame);\n",
+       "    }else{\n",
+       "      var loop_state = this.get_loop_state();\n",
+       "      if(loop_state == \"loop\"){\n",
+       "        this.last_frame();\n",
+       "      }else if(loop_state == \"reflect\"){\n",
+       "        this.first_frame();\n",
+       "        this.play_animation();\n",
+       "      }else{\n",
+       "        this.pause_animation();\n",
+       "        this.first_frame();\n",
+       "      }\n",
+       "    }\n",
+       "  }\n",
+       "\n",
+       "  Animation.prototype.pause_animation = function()\n",
+       "  {\n",
+       "    this.direction = 0;\n",
+       "    if (this.timer){\n",
+       "      clearInterval(this.timer);\n",
+       "      this.timer = null;\n",
+       "    }\n",
+       "  }\n",
+       "\n",
+       "  Animation.prototype.play_animation = function()\n",
+       "  {\n",
+       "    this.pause_animation();\n",
+       "    this.direction = 1;\n",
+       "    var t = this;\n",
+       "    if (!this.timer) this.timer = setInterval(function() {\n",
+       "        t.anim_step_forward();\n",
+       "    }, this.interval);\n",
+       "  }\n",
+       "\n",
+       "  Animation.prototype.reverse_animation = function()\n",
+       "  {\n",
+       "    this.pause_animation();\n",
+       "    this.direction = -1;\n",
+       "    var t = this;\n",
+       "    if (!this.timer) this.timer = setInterval(function() {\n",
+       "        t.anim_step_reverse();\n",
+       "    }, this.interval);\n",
+       "  }\n",
+       "</script>\n",
+       "\n",
+       "<style>\n",
+       ".animation {\n",
+       "    display: inline-block;\n",
+       "    text-align: center;\n",
+       "}\n",
+       "input[type=range].anim-slider {\n",
+       "    width: 374px;\n",
+       "    margin-left: auto;\n",
+       "    margin-right: auto;\n",
+       "}\n",
+       ".anim-buttons {\n",
+       "    margin: 8px 0px;\n",
+       "}\n",
+       ".anim-buttons button {\n",
+       "    padding: 0;\n",
+       "    width: 36px;\n",
+       "}\n",
+       ".anim-state label {\n",
+       "    margin-right: 8px;\n",
+       "}\n",
+       ".anim-state input {\n",
+       "    margin: 0;\n",
+       "    vertical-align: middle;\n",
+       "}\n",
+       "</style>\n",
+       "\n",
+       "<div class=\"animation\">\n",
+       "  <img id=\"_anim_imgc91c1cb324c0488db659ef933a0cd3a4\">\n",
+       "  <div class=\"anim-controls\">\n",
+       "    <input id=\"_anim_sliderc91c1cb324c0488db659ef933a0cd3a4\" type=\"range\" class=\"anim-slider\"\n",
+       "           name=\"points\" min=\"0\" max=\"1\" step=\"1\" value=\"0\"\n",
+       "           oninput=\"animc91c1cb324c0488db659ef933a0cd3a4.set_frame(parseInt(this.value));\"></input>\n",
+       "    <div class=\"anim-buttons\">\n",
+       "      <button onclick=\"animc91c1cb324c0488db659ef933a0cd3a4.slower()\"><i class=\"fa fa-minus\"></i></button>\n",
+       "      <button onclick=\"animc91c1cb324c0488db659ef933a0cd3a4.first_frame()\"><i class=\"fa fa-fast-backward\">\n",
+       "          </i></button>\n",
+       "      <button onclick=\"animc91c1cb324c0488db659ef933a0cd3a4.previous_frame()\">\n",
+       "          <i class=\"fa fa-step-backward\"></i></button>\n",
+       "      <button onclick=\"animc91c1cb324c0488db659ef933a0cd3a4.reverse_animation()\">\n",
+       "          <i class=\"fa fa-play fa-flip-horizontal\"></i></button>\n",
+       "      <button onclick=\"animc91c1cb324c0488db659ef933a0cd3a4.pause_animation()\"><i class=\"fa fa-pause\">\n",
+       "          </i></button>\n",
+       "      <button onclick=\"animc91c1cb324c0488db659ef933a0cd3a4.play_animation()\"><i class=\"fa fa-play\"></i>\n",
+       "          </button>\n",
+       "      <button onclick=\"animc91c1cb324c0488db659ef933a0cd3a4.next_frame()\"><i class=\"fa fa-step-forward\">\n",
+       "          </i></button>\n",
+       "      <button onclick=\"animc91c1cb324c0488db659ef933a0cd3a4.last_frame()\"><i class=\"fa fa-fast-forward\">\n",
+       "          </i></button>\n",
+       "      <button onclick=\"animc91c1cb324c0488db659ef933a0cd3a4.faster()\"><i class=\"fa fa-plus\"></i></button>\n",
+       "    </div>\n",
+       "    <form action=\"#n\" name=\"_anim_loop_selectc91c1cb324c0488db659ef933a0cd3a4\" class=\"anim-state\">\n",
+       "      <input type=\"radio\" name=\"state\" value=\"once\" id=\"_anim_radio1_c91c1cb324c0488db659ef933a0cd3a4\"\n",
+       "             >\n",
+       "      <label for=\"_anim_radio1_c91c1cb324c0488db659ef933a0cd3a4\">Once</label>\n",
+       "      <input type=\"radio\" name=\"state\" value=\"loop\" id=\"_anim_radio2_c91c1cb324c0488db659ef933a0cd3a4\"\n",
+       "             checked>\n",
+       "      <label for=\"_anim_radio2_c91c1cb324c0488db659ef933a0cd3a4\">Loop</label>\n",
+       "      <input type=\"radio\" name=\"state\" value=\"reflect\" id=\"_anim_radio3_c91c1cb324c0488db659ef933a0cd3a4\"\n",
+       "             >\n",
+       "      <label for=\"_anim_radio3_c91c1cb324c0488db659ef933a0cd3a4\">Reflect</label>\n",
+       "    </form>\n",
+       "  </div>\n",
+       "</div>\n",
+       "\n",
+       "\n",
+       "<script language=\"javascript\">\n",
+       "  /* Instantiate the Animation class. */\n",
+       "  /* The IDs given should match those used in the template above. */\n",
+       "  (function() {\n",
+       "    var img_id = \"_anim_imgc91c1cb324c0488db659ef933a0cd3a4\";\n",
+       "    var slider_id = \"_anim_sliderc91c1cb324c0488db659ef933a0cd3a4\";\n",
+       "    var loop_select_id = \"_anim_loop_selectc91c1cb324c0488db659ef933a0cd3a4\";\n",
+       "    var frames = new Array(326);\n",
+       "    \n",
+       "  frames[0] = \"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAABDgAAAKICAYAAACVCkrAAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz\\\n",
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+       "rXGa5+O6co2z3Pd536cxyeflPvexWK1WqwAAAAAAAEzMpqQLAAAAAAAAuF8EHAAAAAAAwPQIOAAA\\\n",
+       "AAAAgOkRcAAAAAAAANMj4AAAAAAAAKZHwAEAAAAAAEyPgAMAAAAAAJgeAQcAAAAAADA9Ag4AAAAA\\\n",
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+       "tRwOh3x9fbV27VoVFxfL5XJJksrLy9WqVSsNHjy4iasEAKDGteet1NRUtW3bVgcPHlR1dbVatmxp\\\n",
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+       "AIB7UlFRkaZNm6aUlBR5eHgoIyNDS5cuVXJysiSprKxMISEhKi8vb+JKAQCof94qLi5WYGCgmjVr\\\n",
+       "prS0NF29etWa99e//rW6du2qdu3aKTIyUpKs21ZqDRkyRGlpaZo1a5bS0tL09NNP39XtAZqCh6nt\\\n",
+       "AwUAgM05HA65XC5VVlbK09NT48aN0yuvvKLvvvtOgYGBKigokJeXlzX/8OHDNWbMGFVUVOjAgQNa\\\n",
+       "tGhRE1YPAPh/c6PzVrNmzXT06FGNGDFCrVq1Ut++fbVw4UKVlpZa7x04cKCGDh2qadOmXXfZFy9e\\\n",
+       "1OjRo/XNN9/o0Ucf1apVq+Tj43O3Ng1oEgQcAAAAAGAj5eXlcrlcysnJkbe3d1OXA/xkMMgoAAAA\\\n",
+       "ANjEtm3bFB4erunTpxNuAN9DDw4AAAAAAGB79OAAAAAAAAC2R8ABAAAAAABsj4ADAAAAAADYHgEH\\\n",
+       "AAAAAACwPQIOAAAAAABgewQcAAAAAADA9gg4AAAAAACA7RFwAAAAAAAA2yPgAAAAAAAAtkfAAQAA\\\n",
+       "AAAAbI+AAwAAAAAA2B4BBwAAAAAAsD0CDgAAAAAAYHsEHAAAAAAAwPYIOAAAAAAAgO0RcAAAAAAA\\\n",
+       "ANsj4AAAAAAAALZHwAEAAAAAAGyPgAMAAAAAANgeAQcAAAAAALA9Ag4AAAAAAGB7BBwAAAAAAMD2\\\n",
+       "CDgAAAAAAIDtEXAAAAAAAADbI+AAAAAAAAC2R8ABAAAAAABsj4ADAAAAAADYHgEHAAAAAACwPQIO\\\n",
+       "AAAAAABgewQcAAAAAADA9gg4AAAAAACA7RFwAAAAAAAA2yPgAAAAAAAAtkfAAQAAAAAAbI+AAwAA\\\n",
+       "AAAA2B4BBwAAAAAAsD0CDgAAAAAAYHsEHAAAAAAAwPYIOAAAAAAAgO0RcAAAAAAAANsj4AAAAAAA\\\n",
+       "ALZHwAEAAAAAAGyPgAMAAAAAANgeAQcAAAAAALA9Ag4AAAAAAGB7BBwAAAAAAMD2CDgAAAAAAIDt\\\n",
+       "EXAAAAAAAADbI+AAAAAAAAC29184awulIVJtCgAAAABJRU5ErkJggg==\\\n",
+       "\"\n",
+       "\n",
+       "\n",
+       "    /* set a timeout to make sure all the above elements are created before\n",
+       "       the object is initialized. */\n",
+       "    setTimeout(function() {\n",
+       "        animc91c1cb324c0488db659ef933a0cd3a4 = new Animation(frames, img_id, slider_id, 10.0,\n",
+       "                                 loop_select_id);\n",
+       "    }, 0);\n",
+       "  })()\n",
+       "</script>\n"
+      ],
+      "text/plain": [
+       "<IPython.core.display.HTML object>"
+      ]
+     },
+     "execution_count": 29,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "HTML(anim.to_jshtml())"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 30,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# anim.save('uniswap.gif', writer='imagemagick')"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Get calls to the smartcontract"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 31,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# from web3 import Web3\n",
+    "\n",
+    "# true = True\n",
+    "# false = False\n",
+    "# # copy-pasted ABI from etherscan\n",
+    "# abi = [{\"name\": \"TokenPurchase\", \"inputs\": [{\"type\": \"address\", \"name\": \"buyer\", \"indexed\": true}, {\"type\": \"uint256\", \"name\": \"eth_sold\", \"indexed\": true}, {\"type\": \"uint256\", \"name\": \"tokens_bought\", \"indexed\": true}], \"anonymous\": false, \"type\": \"event\"}, {\"name\": \"EthPurchase\", \"inputs\": [{\"type\": \"address\", \"name\": \"buyer\", \"indexed\": true}, {\"type\": \"uint256\", \"name\": \"tokens_sold\", \"indexed\": true}, {\"type\": \"uint256\", \"name\": \"eth_bought\", \"indexed\": true}], \"anonymous\": false, \"type\": \"event\"}, {\"name\": \"AddLiquidity\", \"inputs\": [{\"type\": \"address\", \"name\": \"provider\", \"indexed\": true}, {\"type\": \"uint256\", \"name\": \"eth_amount\", \"indexed\": true}, {\"type\": \"uint256\", \"name\": \"token_amount\", \"indexed\": true}], \"anonymous\": false, \"type\": \"event\"}, {\"name\": \"RemoveLiquidity\", \"inputs\": [{\"type\": \"address\", \"name\": \"provider\", \"indexed\": true}, {\"type\": \"uint256\", \"name\": \"eth_amount\", \"indexed\": true}, {\"type\": \"uint256\", \"name\": \"token_amount\", \"indexed\": true}], \"anonymous\": false, \"type\": \"event\"}, {\"name\": \"Transfer\", \"inputs\": [{\"type\": \"address\", \"name\": \"_from\", \"indexed\": true}, {\"type\": \"address\", \"name\": \"_to\", \"indexed\": true}, {\"type\": \"uint256\", \"name\": \"_value\", \"indexed\": false}], \"anonymous\": false, \"type\": \"event\"}, {\"name\": \"Approval\", \"inputs\": [{\"type\": \"address\", \"name\": \"_owner\", \"indexed\": true}, {\"type\": \"address\", \"name\": \"_spender\", \"indexed\": true}, {\"type\": \"uint256\", \"name\": \"_value\", \"indexed\": false}], \"anonymous\": false, \"type\": \"event\"}, {\"name\": \"setup\", \"outputs\": [], \"inputs\": [{\"type\": \"address\", \"name\": \"token_addr\"}], \"constant\": false, \"payable\": false, \"type\": \"function\", \"gas\": 175875}, {\"name\": \"addLiquidity\", \"outputs\": [{\"type\": \"uint256\", \"name\": \"out\"}], \"inputs\": [{\"type\": \"uint256\", \"name\": \"min_liquidity\"}, {\"type\": \"uint256\", \"name\": \"max_tokens\"}, {\"type\": \"uint256\", \"name\": \"deadline\"}], \"constant\": false, \"payable\": true, \"type\": \"function\", \"gas\": 82616}, {\"name\": \"removeLiquidity\", \"outputs\": [{\"type\": \"uint256\", \"name\": \"out\"}, {\"type\": \"uint256\", \"name\": \"out\"}], \"inputs\": [{\"type\": \"uint256\", \"name\": \"amount\"}, {\"type\": \"uint256\", \"name\": \"min_eth\"}, {\"type\": \"uint256\", \"name\": \"min_tokens\"}, {\"type\": \"uint256\", \"name\": \"deadline\"}], \"constant\": false, \"payable\": false, \"type\": \"function\", \"gas\": 116814}, {\"name\": \"__default__\", \"outputs\": [], \"inputs\": [], \"constant\": false, \"payable\": true, \"type\": \"function\"}, {\"name\": \"ethToTokenSwapInput\", \"outputs\": [{\"type\": \"uint256\", \"name\": \"out\"}], \"inputs\": [{\"type\": \"uint256\", \"name\": \"min_tokens\"}, {\"type\": \"uint256\", \"name\": \"deadline\"}], \"constant\": false, \"payable\": true, \"type\": \"function\", \"gas\": 12757}, {\"name\": \"ethToTokenTransferInput\", \"outputs\": [{\"type\": \"uint256\", \"name\": \"out\"}], \"inputs\": [{\"type\": \"uint256\", \"name\": \"min_tokens\"}, {\"type\": \"uint256\", \"name\": \"deadline\"}, {\"type\": \"address\", \"name\": \"recipient\"}], \"constant\": false, \"payable\": true, \"type\": \"function\", \"gas\": 12965}, {\"name\": \"ethToTokenSwapOutput\", \"outputs\": [{\"type\": \"uint256\", \"name\": \"out\"}], \"inputs\": [{\"type\": \"uint256\", \"name\": \"tokens_bought\"}, {\"type\": \"uint256\", \"name\": \"deadline\"}], \"constant\": false, \"payable\": true, \"type\": \"function\", \"gas\": 50463}, {\"name\": \"ethToTokenTransferOutput\", \"outputs\": [{\"type\": \"uint256\", \"name\": \"out\"}], \"inputs\": [{\"type\": \"uint256\", \"name\": \"tokens_bought\"}, {\"type\": \"uint256\", \"name\": \"deadline\"}, {\"type\": \"address\", \"name\": \"recipient\"}], \"constant\": false, \"payable\": true, \"type\": \"function\", \"gas\": 50671}, {\"name\": \"tokenToEthSwapInput\", \"outputs\": [{\"type\": \"uint256\", \"name\": \"out\"}], \"inputs\": [{\"type\": \"uint256\", \"name\": \"tokens_sold\"}, {\"type\": \"uint256\", \"name\": \"min_eth\"}, {\"type\": \"uint256\", \"name\": \"deadline\"}], \"constant\": false, \"payable\": false, \"type\": \"function\", \"gas\": 47503}, {\"name\": \"tokenToEthTransferInput\", \"outputs\": [{\"type\": \"uint256\", \"name\": \"out\"}], \"inputs\": [{\"type\": \"uint256\", \"name\": \"tokens_sold\"}, {\"type\": \"uint256\", \"name\": \"min_eth\"}, {\"type\": \"uint256\", \"name\": \"deadline\"}, {\"type\": \"address\", \"name\": \"recipient\"}], \"constant\": false, \"payable\": false, \"type\": \"function\", \"gas\": 47712}, {\"name\": \"tokenToEthSwapOutput\", \"outputs\": [{\"type\": \"uint256\", \"name\": \"out\"}], \"inputs\": [{\"type\": \"uint256\", \"name\": \"eth_bought\"}, {\"type\": \"uint256\", \"name\": \"max_tokens\"}, {\"type\": \"uint256\", \"name\": \"deadline\"}], \"constant\": false, \"payable\": false, \"type\": \"function\", \"gas\": 50175}, {\"name\": \"tokenToEthTransferOutput\", \"outputs\": [{\"type\": \"uint256\", \"name\": \"out\"}], \"inputs\": [{\"type\": \"uint256\", \"name\": \"eth_bought\"}, {\"type\": \"uint256\", \"name\": \"max_tokens\"}, {\"type\": \"uint256\", \"name\": \"deadline\"}, {\"type\": \"address\", \"name\": \"recipient\"}], \"constant\": false, \"payable\": false, \"type\": \"function\", \"gas\": 50384}, {\"name\": \"tokenToTokenSwapInput\", \"outputs\": [{\"type\": \"uint256\", \"name\": \"out\"}], \"inputs\": [{\"type\": \"uint256\", \"name\": \"tokens_sold\"}, {\"type\": \"uint256\", \"name\": \"min_tokens_bought\"}, {\"type\": \"uint256\", \"name\": \"min_eth_bought\"}, {\"type\": \"uint256\", \"name\": \"deadline\"}, {\"type\": \"address\", \"name\": \"token_addr\"}], \"constant\": false, \"payable\": false, \"type\": \"function\", \"gas\": 51007}, {\"name\": \"tokenToTokenTransferInput\", \"outputs\": [{\"type\": \"uint256\", \"name\": \"out\"}], \"inputs\": [{\"type\": \"uint256\", \"name\": \"tokens_sold\"}, {\"type\": \"uint256\", \"name\": \"min_tokens_bought\"}, {\"type\": \"uint256\", \"name\": \"min_eth_bought\"}, {\"type\": \"uint256\", \"name\": \"deadline\"}, {\"type\": \"address\", \"name\": \"recipient\"}, {\"type\": \"address\", \"name\": \"token_addr\"}], \"constant\": false, \"payable\": false, \"type\": \"function\", \"gas\": 51098}, {\"name\": \"tokenToTokenSwapOutput\", \"outputs\": [{\"type\": \"uint256\", \"name\": \"out\"}], \"inputs\": [{\"type\": \"uint256\", \"name\": \"tokens_bought\"}, {\"type\": \"uint256\", \"name\": \"max_tokens_sold\"}, {\"type\": \"uint256\", \"name\": \"max_eth_sold\"}, {\"type\": \"uint256\", \"name\": \"deadline\"}, {\"type\": \"address\", \"name\": \"token_addr\"}], \"constant\": false, \"payable\": false, \"type\": \"function\", \"gas\": 54928}, {\"name\": \"tokenToTokenTransferOutput\", \"outputs\": [{\"type\": \"uint256\", \"name\": \"out\"}], \"inputs\": [{\"type\": \"uint256\", \"name\": \"tokens_bought\"}, {\"type\": \"uint256\", \"name\": \"max_tokens_sold\"}, {\"type\": \"uint256\", \"name\": \"max_eth_sold\"}, {\"type\": \"uint256\", \"name\": \"deadline\"}, {\"type\": \"address\", \"name\": \"recipient\"}, {\"type\": \"address\", \"name\": \"token_addr\"}], \"constant\": false, \"payable\": false, \"type\": \"function\", \"gas\": 55019}, {\"name\": \"tokenToExchangeSwapInput\", \"outputs\": [{\"type\": \"uint256\", \"name\": \"out\"}], \"inputs\": [{\"type\": \"uint256\", \"name\": \"tokens_sold\"}, {\"type\": \"uint256\", \"name\": \"min_tokens_bought\"}, {\"type\": \"uint256\", \"name\": \"min_eth_bought\"}, {\"type\": \"uint256\", \"name\": \"deadline\"}, {\"type\": \"address\", \"name\": \"exchange_addr\"}], \"constant\": false, \"payable\": false, \"type\": \"function\", \"gas\": 49342}, {\"name\": \"tokenToExchangeTransferInput\", \"outputs\": [{\"type\": \"uint256\", \"name\": \"out\"}], \"inputs\": [{\"type\": \"uint256\", \"name\": \"tokens_sold\"}, {\"type\": \"uint256\", \"name\": \"min_tokens_bought\"}, {\"type\": \"uint256\", \"name\": \"min_eth_bought\"}, {\"type\": \"uint256\", \"name\": \"deadline\"}, {\"type\": \"address\", \"name\": \"recipient\"}, {\"type\": \"address\", \"name\": \"exchange_addr\"}], \"constant\": false, \"payable\": false, \"type\": \"function\", \"gas\": 49532}, {\"name\": \"tokenToExchangeSwapOutput\", \"outputs\": [{\"type\": \"uint256\", \"name\": \"out\"}], \"inputs\": [{\"type\": \"uint256\", \"name\": \"tokens_bought\"}, {\"type\": \"uint256\", \"name\": \"max_tokens_sold\"}, {\"type\": \"uint256\", \"name\": \"max_eth_sold\"}, {\"type\": \"uint256\", \"name\": \"deadline\"}, {\"type\": \"address\", \"name\": \"exchange_addr\"}], \"constant\": false, \"payable\": false, \"type\": \"function\", \"gas\": 53233}, {\"name\": \"tokenToExchangeTransferOutput\", \"outputs\": [{\"type\": \"uint256\", \"name\": \"out\"}], \"inputs\": [{\"type\": \"uint256\", \"name\": \"tokens_bought\"}, {\"type\": \"uint256\", \"name\": \"max_tokens_sold\"}, {\"type\": \"uint256\", \"name\": \"max_eth_sold\"}, {\"type\": \"uint256\", \"name\": \"deadline\"}, {\"type\": \"address\", \"name\": \"recipient\"}, {\"type\": \"address\", \"name\": \"exchange_addr\"}], \"constant\": false, \"payable\": false, \"type\": \"function\", \"gas\": 53423}, {\"name\": \"getEthToTokenInputPrice\", \"outputs\": [{\"type\": \"uint256\", \"name\": \"out\"}], \"inputs\": [{\"type\": \"uint256\", \"name\": \"eth_sold\"}], \"constant\": true, \"payable\": false, \"type\": \"function\", \"gas\": 5542}, {\"name\": \"getEthToTokenOutputPrice\", \"outputs\": [{\"type\": \"uint256\", \"name\": \"out\"}], \"inputs\": [{\"type\": \"uint256\", \"name\": \"tokens_bought\"}], \"constant\": true, \"payable\": false, \"type\": \"function\", \"gas\": 6872}, {\"name\": \"getTokenToEthInputPrice\", \"outputs\": [{\"type\": \"uint256\", \"name\": \"out\"}], \"inputs\": [{\"type\": \"uint256\", \"name\": \"tokens_sold\"}], \"constant\": true, \"payable\": false, \"type\": \"function\", \"gas\": 5637}, {\"name\": \"getTokenToEthOutputPrice\", \"outputs\": [{\"type\": \"uint256\", \"name\": \"out\"}], \"inputs\": [{\"type\": \"uint256\", \"name\": \"eth_bought\"}], \"constant\": true, \"payable\": false, \"type\": \"function\", \"gas\": 6897}, {\"name\": \"tokenAddress\", \"outputs\": [{\"type\": \"address\", \"name\": \"out\"}], \"inputs\": [], \"constant\": true, \"payable\": false, \"type\": \"function\", \"gas\": 1413}, {\"name\": \"factoryAddress\", \"outputs\": [{\"type\": \"address\", \"name\": \"out\"}], \"inputs\": [], \"constant\": true, \"payable\": false, \"type\": \"function\", \"gas\": 1443}, {\"name\": \"balanceOf\", \"outputs\": [{\"type\": \"uint256\", \"name\": \"out\"}], \"inputs\": [{\"type\": \"address\", \"name\": \"_owner\"}], \"constant\": true, \"payable\": false, \"type\": \"function\", \"gas\": 1645}, {\"name\": \"transfer\", \"outputs\": [{\"type\": \"bool\", \"name\": \"out\"}], \"inputs\": [{\"type\": \"address\", \"name\": \"_to\"}, {\"type\": \"uint256\", \"name\": \"_value\"}], \"constant\": false, \"payable\": false, \"type\": \"function\", \"gas\": 75034}, {\"name\": \"transferFrom\", \"outputs\": [{\"type\": \"bool\", \"name\": \"out\"}], \"inputs\": [{\"type\": \"address\", \"name\": \"_from\"}, {\"type\": \"address\", \"name\": \"_to\"}, {\"type\": \"uint256\", \"name\": \"_value\"}], \"constant\": false, \"payable\": false, \"type\": \"function\", \"gas\": 110907}, {\"name\": \"approve\", \"outputs\": [{\"type\": \"bool\", \"name\": \"out\"}], \"inputs\": [{\"type\": \"address\", \"name\": \"_spender\"}, {\"type\": \"uint256\", \"name\": \"_value\"}], \"constant\": false, \"payable\": false, \"type\": \"function\", \"gas\": 38769}, {\"name\": \"allowance\", \"outputs\": [{\"type\": \"uint256\", \"name\": \"out\"}], \"inputs\": [{\"type\": \"address\", \"name\": \"_owner\"}, {\"type\": \"address\", \"name\": \"_spender\"}], \"constant\": true, \"payable\": false, \"type\": \"function\", \"gas\": 1925}, {\"name\": \"name\", \"outputs\": [{\"type\": \"bytes32\", \"name\": \"out\"}], \"inputs\": [], \"constant\": true, \"payable\": false, \"type\": \"function\", \"gas\": 1623}, {\"name\": \"symbol\", \"outputs\": [{\"type\": \"bytes32\", \"name\": \"out\"}], \"inputs\": [], \"constant\": true, \"payable\": false, \"type\": \"function\", \"gas\": 1653}, {\"name\": \"decimals\", \"outputs\": [{\"type\": \"uint256\", \"name\": \"out\"}], \"inputs\": [], \"constant\": true, \"payable\": false, \"type\": \"function\", \"gas\": 1683}, {\"name\": \"totalSupply\", \"outputs\": [{\"type\": \"uint256\", \"name\": \"out\"}], \"inputs\": [], \"constant\": true, \"payable\": false, \"type\": \"function\", \"gas\": 1713}]\n",
+    "\n",
+    "\n",
+    "# functions = {}\n",
+    "\n",
+    "# #print functions signatures and hashes\n",
+    "# for i in abi:\n",
+    "#     if (i['type']=='function'):\n",
+    "#         f_name = i['name']\n",
+    "#         args = [in_['name'] for in_ in i['inputs']]\n",
+    "#         funcs = i['name']+\"(\"+','.join(args)+\")\"\n",
+    "# #         print(\"'{}'\".format(funcs))\n",
+    "#         inputs = [in_['type'] for in_ in i['inputs']]\n",
+    "#         signature = i['name']+\"(\"+','.join(inputs)+\")\"\n",
+    "# #         print(\"'{}'\".format(signature))\n",
+    "# #         print(\"'{}'\".format(Web3.sha3(text=signature).hex()))\n",
+    "# #         print(\"'{}'\".format(Web3.sha3(text=signature).hex()[:10]))\n",
+    "# #         print(\"\")\n",
+    "#         functions[Web3.sha3(text=signature).hex()[:10]] = signature\n",
+    "\n",
+    "# #events = pd.read_pickle('ck-data/events_4605167-to-5374870.pickle.gz')\n",
+    "# client = bigquery.Client()\n",
+    "# query = \"\"\"\n",
+    "# SELECT \n",
+    "#   transaction_hash AS transactionHash,\n",
+    "#   transaction_index,\n",
+    "#   to_address,\n",
+    "#   value,\n",
+    "#   input,\n",
+    "#   output,\n",
+    "#   gas,\n",
+    "#   error,\n",
+    "#   status,\n",
+    "#   block_timestamp,\n",
+    "#   block_number AS blockNumber_dec\n",
+    "# FROM\n",
+    "#   `bigquery-public-data.ethereum_blockchain.traces`\n",
+    "# WHERE TRUE\n",
+    "#   AND to_address IN ({contract_list})\n",
+    "#   AND block_timestamp >= {from_block_ts} \n",
+    "#   AND block_timestamp <= {to_block_ts}\n",
+    "#   AND SUBSTR(input, 1, 10) IN ({functions_list})\n",
+    "# \"\"\".format(\n",
+    "#     from_block_ts=FROM_BLOCK_TIMESTAMP, \n",
+    "#     to_block_ts=TO_BLOCK_TIMESTAMP, \n",
+    "#     functions_list=(','.join([\"'{}'\".format(k) for k in list(functions.keys())])),\n",
+    "#     contract_list=(','.join([\"'{}'\".format(k) for k in list(contracts.keys())]))\n",
+    "# )\n",
+    "# print(query)\n",
+    "# query_job = client.query(query)\n",
+    "# iterator = query_job.result(timeout=MY_TIMEOUT)\n",
+    "# rows = list(iterator)\n",
+    "# calls = pd.DataFrame(data=[list(x.values()) for x in rows], columns=list(rows[0].keys()))\n",
+    "# calls = calls.sort_values(['blockNumber_dec','transaction_index', 'gas'], ascending=[True,True,False]).reset_index(drop=True)\n",
+    "# calls.to_pickle('uniswap_calls.pickle')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "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": "3.7.6"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 4
+}
diff --git a/demos/uniswap/uniswap.vy b/demos/uniswap/uniswap.vy
new file mode 100644
index 0000000..f1d8634
--- /dev/null
+++ b/demos/uniswap/uniswap.vy
@@ -0,0 +1,496 @@
+# @title Uniswap Exchange Interface V1
+# @notice Source code found at https://github.com/uniswap
+# @notice Use at your own risk
+
+contract Factory():
+    def getExchange(token_addr: address) -> address: constant
+
+contract Exchange():
+    def getEthToTokenOutputPrice(tokens_bought: uint256) -> uint256(wei): constant
+    def ethToTokenTransferInput(min_tokens: uint256, deadline: timestamp, recipient: address) -> uint256: modifying
+    def ethToTokenTransferOutput(tokens_bought: uint256, deadline: timestamp, recipient: address) -> uint256(wei): modifying
+
+TokenPurchase: event({buyer: indexed(address), eth_sold: indexed(uint256(wei)), tokens_bought: indexed(uint256)})
+EthPurchase: event({buyer: indexed(address), tokens_sold: indexed(uint256), eth_bought: indexed(uint256(wei))})
+AddLiquidity: event({provider: indexed(address), eth_amount: indexed(uint256(wei)), token_amount: indexed(uint256)})
+RemoveLiquidity: event({provider: indexed(address), eth_amount: indexed(uint256(wei)), token_amount: indexed(uint256)})
+Transfer: event({_from: indexed(address), _to: indexed(address), _value: uint256})
+Approval: event({_owner: indexed(address), _spender: indexed(address), _value: uint256})
+
+name: public(bytes32)                             # Uniswap V1
+symbol: public(bytes32)                           # UNI-V1
+decimals: public(uint256)                         # 18
+totalSupply: public(uint256)                      # total number of UNI in existence
+balances: uint256[address]                        # UNI balance of an address
+allowances: (uint256[address])[address]           # UNI allowance of one address on another
+token: address(ERC20)                             # address of the ERC20 token traded on this contract
+factory: Factory                                  # interface for the factory that created this contract
+
+# @dev This function acts as a contract constructor which is not currently supported in contracts deployed
+#      using create_with_code_of(). It is called once by the factory during contract creation.
+@public
+def setup(token_addr: address):
+    assert (self.factory == ZERO_ADDRESS and self.token == ZERO_ADDRESS) and token_addr != ZERO_ADDRESS
+    self.factory = msg.sender
+    self.token = token_addr
+    self.name = 0x556e697377617020563100000000000000000000000000000000000000000000
+    self.symbol = 0x554e492d56310000000000000000000000000000000000000000000000000000
+    self.decimals = 18
+
+# @notice Deposit ETH and Tokens (self.token) at current ratio to mint UNI tokens.
+# @dev min_liquidity does nothing when total UNI supply is 0.
+# @param min_liquidity Minimum number of UNI sender will mint if total UNI supply is greater than 0.
+# @param max_tokens Maximum number of tokens deposited. Deposits max amount if total UNI supply is 0.
+# @param deadline Time after which this transaction can no longer be executed.
+# @return The amount of UNI minted.
+@public
+@payable
+def addLiquidity(min_liquidity: uint256, max_tokens: uint256, deadline: timestamp) -> uint256:
+    assert deadline > block.timestamp and (max_tokens > 0 and msg.value > 0)
+    total_liquidity: uint256 = self.totalSupply
+    if total_liquidity > 0:
+        assert min_liquidity > 0
+        eth_reserve: uint256(wei) = self.balance - msg.value
+        token_reserve: uint256 = self.token.balanceOf(self)
+        token_amount: uint256 = msg.value * token_reserve / eth_reserve + 1
+        liquidity_minted: uint256 = msg.value * total_liquidity / eth_reserve
+        assert max_tokens >= token_amount and liquidity_minted >= min_liquidity
+        self.balances[msg.sender] += liquidity_minted
+        self.totalSupply = total_liquidity + liquidity_minted
+        assert self.token.transferFrom(msg.sender, self, token_amount)
+        log.AddLiquidity(msg.sender, msg.value, token_amount)
+        log.Transfer(ZERO_ADDRESS, msg.sender, liquidity_minted)
+        return liquidity_minted
+    else:
+        assert (self.factory != ZERO_ADDRESS and self.token != ZERO_ADDRESS) and msg.value >= 1000000000
+        assert self.factory.getExchange(self.token) == self
+        token_amount: uint256 = max_tokens
+        initial_liquidity: uint256 = as_unitless_number(self.balance)
+        self.totalSupply = initial_liquidity
+        self.balances[msg.sender] = initial_liquidity
+        assert self.token.transferFrom(msg.sender, self, token_amount)
+        log.AddLiquidity(msg.sender, msg.value, token_amount)
+        log.Transfer(ZERO_ADDRESS, msg.sender, initial_liquidity)
+        return initial_liquidity
+
+# @dev Burn UNI tokens to withdraw ETH and Tokens at current ratio.
+# @param amount Amount of UNI burned.
+# @param min_eth Minimum ETH withdrawn.
+# @param min_tokens Minimum Tokens withdrawn.
+# @param deadline Time after which this transaction can no longer be executed.
+# @return The amount of ETH and Tokens withdrawn.
+@public
+def removeLiquidity(amount: uint256, min_eth: uint256(wei), min_tokens: uint256, deadline: timestamp) -> (uint256(wei), uint256):
+    assert (amount > 0 and deadline > block.timestamp) and (min_eth > 0 and min_tokens > 0)
+    total_liquidity: uint256 = self.totalSupply
+    assert total_liquidity > 0
+    token_reserve: uint256 = self.token.balanceOf(self)
+    eth_amount: uint256(wei) = amount * self.balance / total_liquidity
+    token_amount: uint256 = amount * token_reserve / total_liquidity
+    assert eth_amount >= min_eth and token_amount >= min_tokens
+    self.balances[msg.sender] -= amount
+    self.totalSupply = total_liquidity - amount
+    send(msg.sender, eth_amount)
+    assert self.token.transfer(msg.sender, token_amount)
+    log.RemoveLiquidity(msg.sender, eth_amount, token_amount)
+    log.Transfer(msg.sender, ZERO_ADDRESS, amount)
+    return eth_amount, token_amount
+
+# @dev Pricing function for converting between ETH and Tokens.
+# @param input_amount Amount of ETH or Tokens being sold.
+# @param input_reserve Amount of ETH or Tokens (input type) in exchange reserves.
+# @param output_reserve Amount of ETH or Tokens (output type) in exchange reserves.
+# @return Amount of ETH or Tokens bought.
+@private
+@constant
+def getInputPrice(input_amount: uint256, input_reserve: uint256, output_reserve: uint256) -> uint256:
+    assert input_reserve > 0 and output_reserve > 0
+    input_amount_with_fee: uint256 = input_amount * 997
+    numerator: uint256 = input_amount_with_fee * output_reserve
+    denominator: uint256 = (input_reserve * 1000) + input_amount_with_fee
+    return numerator / denominator
+
+# @dev Pricing function for converting between ETH and Tokens.
+# @param output_amount Amount of ETH or Tokens being bought.
+# @param input_reserve Amount of ETH or Tokens (input type) in exchange reserves.
+# @param output_reserve Amount of ETH or Tokens (output type) in exchange reserves.
+# @return Amount of ETH or Tokens sold.
+@private
+@constant
+def getOutputPrice(output_amount: uint256, input_reserve: uint256, output_reserve: uint256) -> uint256:
+    assert input_reserve > 0 and output_reserve > 0
+    numerator: uint256 = input_reserve * output_amount * 1000
+    denominator: uint256 = (output_reserve - output_amount) * 997
+    return numerator / denominator + 1
+
+@private
+def ethToTokenInput(eth_sold: uint256(wei), min_tokens: uint256, deadline: timestamp, buyer: address, recipient: address) -> uint256:
+    assert deadline >= block.timestamp and (eth_sold > 0 and min_tokens > 0)
+    token_reserve: uint256 = self.token.balanceOf(self)
+    tokens_bought: uint256 = self.getInputPrice(as_unitless_number(eth_sold), as_unitless_number(self.balance - eth_sold), token_reserve)
+    assert tokens_bought >= min_tokens
+    assert self.token.transfer(recipient, tokens_bought)
+    log.TokenPurchase(buyer, eth_sold, tokens_bought)
+    return tokens_bought
+
+# @notice Convert ETH to Tokens.
+# @dev User specifies exact input (msg.value).
+# @dev User cannot specify minimum output or deadline.
+@public
+@payable
+def __default__():
+    self.ethToTokenInput(msg.value, 1, block.timestamp, msg.sender, msg.sender)
+
+# @notice Convert ETH to Tokens.
+# @dev User specifies exact input (msg.value) and minimum output.
+# @param min_tokens Minimum Tokens bought.
+# @param deadline Time after which this transaction can no longer be executed.
+# @return Amount of Tokens bought.
+@public
+@payable
+def ethToTokenSwapInput(min_tokens: uint256, deadline: timestamp) -> uint256:
+    return self.ethToTokenInput(msg.value, min_tokens, deadline, msg.sender, msg.sender)
+
+# @notice Convert ETH to Tokens and transfers Tokens to recipient.
+# @dev User specifies exact input (msg.value) and minimum output
+# @param min_tokens Minimum Tokens bought.
+# @param deadline Time after which this transaction can no longer be executed.
+# @param recipient The address that receives output Tokens.
+# @return Amount of Tokens bought.
+@public
+@payable
+def ethToTokenTransferInput(min_tokens: uint256, deadline: timestamp, recipient: address) -> uint256:
+    assert recipient != self and recipient != ZERO_ADDRESS
+    return self.ethToTokenInput(msg.value, min_tokens, deadline, msg.sender, recipient)
+
+@private
+def ethToTokenOutput(tokens_bought: uint256, max_eth: uint256(wei), deadline: timestamp, buyer: address, recipient: address) -> uint256(wei):
+    assert deadline >= block.timestamp and (tokens_bought > 0 and max_eth > 0)
+    token_reserve: uint256 = self.token.balanceOf(self)
+    eth_sold: uint256 = self.getOutputPrice(tokens_bought, as_unitless_number(self.balance - max_eth), token_reserve)
+    # Throws if eth_sold > max_eth
+    eth_refund: uint256(wei) = max_eth - as_wei_value(eth_sold, 'wei')
+    if eth_refund > 0:
+        send(buyer, eth_refund)
+    assert self.token.transfer(recipient, tokens_bought)
+    log.TokenPurchase(buyer, as_wei_value(eth_sold, 'wei'), tokens_bought)
+    return as_wei_value(eth_sold, 'wei')
+
+# @notice Convert ETH to Tokens.
+# @dev User specifies maximum input (msg.value) and exact output.
+# @param tokens_bought Amount of tokens bought.
+# @param deadline Time after which this transaction can no longer be executed.
+# @return Amount of ETH sold.
+@public
+@payable
+def ethToTokenSwapOutput(tokens_bought: uint256, deadline: timestamp) -> uint256(wei):
+    return self.ethToTokenOutput(tokens_bought, msg.value, deadline, msg.sender, msg.sender)
+
+# @notice Convert ETH to Tokens and transfers Tokens to recipient.
+# @dev User specifies maximum input (msg.value) and exact output.
+# @param tokens_bought Amount of tokens bought.
+# @param deadline Time after which this transaction can no longer be executed.
+# @param recipient The address that receives output Tokens.
+# @return Amount of ETH sold.
+@public
+@payable
+def ethToTokenTransferOutput(tokens_bought: uint256, deadline: timestamp, recipient: address) -> uint256(wei):
+    assert recipient != self and recipient != ZERO_ADDRESS
+    return self.ethToTokenOutput(tokens_bought, msg.value, deadline, msg.sender, recipient)
+
+@private
+def tokenToEthInput(tokens_sold: uint256, min_eth: uint256(wei), deadline: timestamp, buyer: address, recipient: address) -> uint256(wei):
+    assert deadline >= block.timestamp and (tokens_sold > 0 and min_eth > 0)
+    token_reserve: uint256 = self.token.balanceOf(self)
+    eth_bought: uint256 = self.getInputPrice(tokens_sold, token_reserve, as_unitless_number(self.balance))
+    wei_bought: uint256(wei) = as_wei_value(eth_bought, 'wei')
+    assert wei_bought >= min_eth
+    send(recipient, wei_bought)
+    assert self.token.transferFrom(buyer, self, tokens_sold)
+    log.EthPurchase(buyer, tokens_sold, wei_bought)
+    return wei_bought
+
+
+# @notice Convert Tokens to ETH.
+# @dev User specifies exact input and minimum output.
+# @param tokens_sold Amount of Tokens sold.
+# @param min_eth Minimum ETH purchased.
+# @param deadline Time after which this transaction can no longer be executed.
+# @return Amount of ETH bought.
+@public
+def tokenToEthSwapInput(tokens_sold: uint256, min_eth: uint256(wei), deadline: timestamp) -> uint256(wei):
+    return self.tokenToEthInput(tokens_sold, min_eth, deadline, msg.sender, msg.sender)
+
+# @notice Convert Tokens to ETH and transfers ETH to recipient.
+# @dev User specifies exact input and minimum output.
+# @param tokens_sold Amount of Tokens sold.
+# @param min_eth Minimum ETH purchased.
+# @param deadline Time after which this transaction can no longer be executed.
+# @param recipient The address that receives output ETH.
+# @return Amount of ETH bought.
+@public
+def tokenToEthTransferInput(tokens_sold: uint256, min_eth: uint256(wei), deadline: timestamp, recipient: address) -> uint256(wei):
+    assert recipient != self and recipient != ZERO_ADDRESS
+    return self.tokenToEthInput(tokens_sold, min_eth, deadline, msg.sender, recipient)
+
+@private
+def tokenToEthOutput(eth_bought: uint256(wei), max_tokens: uint256, deadline: timestamp, buyer: address, recipient: address) -> uint256:
+    assert deadline >= block.timestamp and eth_bought > 0
+    token_reserve: uint256 = self.token.balanceOf(self)
+    tokens_sold: uint256 = self.getOutputPrice(as_unitless_number(eth_bought), token_reserve, as_unitless_number(self.balance))
+    # tokens sold is always > 0
+    assert max_tokens >= tokens_sold
+    send(recipient, eth_bought)
+    assert self.token.transferFrom(buyer, self, tokens_sold)
+    log.EthPurchase(buyer, tokens_sold, eth_bought)
+    return tokens_sold
+
+# @notice Convert Tokens to ETH.
+# @dev User specifies maximum input and exact output.
+# @param eth_bought Amount of ETH purchased.
+# @param max_tokens Maximum Tokens sold.
+# @param deadline Time after which this transaction can no longer be executed.
+# @return Amount of Tokens sold.
+@public
+def tokenToEthSwapOutput(eth_bought: uint256(wei), max_tokens: uint256, deadline: timestamp) -> uint256:
+    return self.tokenToEthOutput(eth_bought, max_tokens, deadline, msg.sender, msg.sender)
+
+# @notice Convert Tokens to ETH and transfers ETH to recipient.
+# @dev User specifies maximum input and exact output.
+# @param eth_bought Amount of ETH purchased.
+# @param max_tokens Maximum Tokens sold.
+# @param deadline Time after which this transaction can no longer be executed.
+# @param recipient The address that receives output ETH.
+# @return Amount of Tokens sold.
+@public
+def tokenToEthTransferOutput(eth_bought: uint256(wei), max_tokens: uint256, deadline: timestamp, recipient: address) -> uint256:
+    assert recipient != self and recipient != ZERO_ADDRESS
+    return self.tokenToEthOutput(eth_bought, max_tokens, deadline, msg.sender, recipient)
+
+@private
+def tokenToTokenInput(tokens_sold: uint256, min_tokens_bought: uint256, min_eth_bought: uint256(wei), deadline: timestamp, buyer: address, recipient: address, exchange_addr: address) -> uint256:
+    assert (deadline >= block.timestamp and tokens_sold > 0) and (min_tokens_bought > 0 and min_eth_bought > 0)
+    assert exchange_addr != self and exchange_addr != ZERO_ADDRESS
+    token_reserve: uint256 = self.token.balanceOf(self)
+    eth_bought: uint256 = self.getInputPrice(tokens_sold, token_reserve, as_unitless_number(self.balance))
+    wei_bought: uint256(wei) = as_wei_value(eth_bought, 'wei')
+    assert wei_bought >= min_eth_bought
+    assert self.token.transferFrom(buyer, self, tokens_sold)
+    tokens_bought: uint256 = Exchange(exchange_addr).ethToTokenTransferInput(min_tokens_bought, deadline, recipient, value=wei_bought)
+    log.EthPurchase(buyer, tokens_sold, wei_bought)
+    return tokens_bought
+
+# @notice Convert Tokens (self.token) to Tokens (token_addr).
+# @dev User specifies exact input and minimum output.
+# @param tokens_sold Amount of Tokens sold.
+# @param min_tokens_bought Minimum Tokens (token_addr) purchased.
+# @param min_eth_bought Minimum ETH purchased as intermediary.
+# @param deadline Time after which this transaction can no longer be executed.
+# @param token_addr The address of the token being purchased.
+# @return Amount of Tokens (token_addr) bought.
+@public
+def tokenToTokenSwapInput(tokens_sold: uint256, min_tokens_bought: uint256, min_eth_bought: uint256(wei), deadline: timestamp, token_addr: address) -> uint256:
+    exchange_addr: address = self.factory.getExchange(token_addr)
+    return self.tokenToTokenInput(tokens_sold, min_tokens_bought, min_eth_bought, deadline, msg.sender, msg.sender, exchange_addr)
+
+# @notice Convert Tokens (self.token) to Tokens (token_addr) and transfers
+#         Tokens (token_addr) to recipient.
+# @dev User specifies exact input and minimum output.
+# @param tokens_sold Amount of Tokens sold.
+# @param min_tokens_bought Minimum Tokens (token_addr) purchased.
+# @param min_eth_bought Minimum ETH purchased as intermediary.
+# @param deadline Time after which this transaction can no longer be executed.
+# @param recipient The address that receives output ETH.
+# @param token_addr The address of the token being purchased.
+# @return Amount of Tokens (token_addr) bought.
+@public
+def tokenToTokenTransferInput(tokens_sold: uint256, min_tokens_bought: uint256, min_eth_bought: uint256(wei), deadline: timestamp, recipient: address, token_addr: address) -> uint256:
+    exchange_addr: address = self.factory.getExchange(token_addr)
+    return self.tokenToTokenInput(tokens_sold, min_tokens_bought, min_eth_bought, deadline, msg.sender, recipient, exchange_addr)
+
+@private
+def tokenToTokenOutput(tokens_bought: uint256, max_tokens_sold: uint256, max_eth_sold: uint256(wei), deadline: timestamp, buyer: address, recipient: address, exchange_addr: address) -> uint256:
+    assert deadline >= block.timestamp and (tokens_bought > 0 and max_eth_sold > 0)
+    assert exchange_addr != self and exchange_addr != ZERO_ADDRESS
+    eth_bought: uint256(wei) = Exchange(exchange_addr).getEthToTokenOutputPrice(tokens_bought)
+    token_reserve: uint256 = self.token.balanceOf(self)
+    tokens_sold: uint256 = self.getOutputPrice(as_unitless_number(eth_bought), token_reserve, as_unitless_number(self.balance))
+    # tokens sold is always > 0
+    assert max_tokens_sold >= tokens_sold and max_eth_sold >= eth_bought
+    assert self.token.transferFrom(buyer, self, tokens_sold)
+    eth_sold: uint256(wei) = Exchange(exchange_addr).ethToTokenTransferOutput(tokens_bought, deadline, recipient, value=eth_bought)
+    log.EthPurchase(buyer, tokens_sold, eth_bought)
+    return tokens_sold
+
+# @notice Convert Tokens (self.token) to Tokens (token_addr).
+# @dev User specifies maximum input and exact output.
+# @param tokens_bought Amount of Tokens (token_addr) bought.
+# @param max_tokens_sold Maximum Tokens (self.token) sold.
+# @param max_eth_sold Maximum ETH purchased as intermediary.
+# @param deadline Time after which this transaction can no longer be executed.
+# @param token_addr The address of the token being purchased.
+# @return Amount of Tokens (self.token) sold.
+@public
+def tokenToTokenSwapOutput(tokens_bought: uint256, max_tokens_sold: uint256, max_eth_sold: uint256(wei), deadline: timestamp, token_addr: address) -> uint256:
+    exchange_addr: address = self.factory.getExchange(token_addr)
+    return self.tokenToTokenOutput(tokens_bought, max_tokens_sold, max_eth_sold, deadline, msg.sender, msg.sender, exchange_addr)
+
+# @notice Convert Tokens (self.token) to Tokens (token_addr) and transfers
+#         Tokens (token_addr) to recipient.
+# @dev User specifies maximum input and exact output.
+# @param tokens_bought Amount of Tokens (token_addr) bought.
+# @param max_tokens_sold Maximum Tokens (self.token) sold.
+# @param max_eth_sold Maximum ETH purchased as intermediary.
+# @param deadline Time after which this transaction can no longer be executed.
+# @param recipient The address that receives output ETH.
+# @param token_addr The address of the token being purchased.
+# @return Amount of Tokens (self.token) sold.
+@public
+def tokenToTokenTransferOutput(tokens_bought: uint256, max_tokens_sold: uint256, max_eth_sold: uint256(wei), deadline: timestamp, recipient: address, token_addr: address) -> uint256:
+    exchange_addr: address = self.factory.getExchange(token_addr)
+    return self.tokenToTokenOutput(tokens_bought, max_tokens_sold, max_eth_sold, deadline, msg.sender, recipient, exchange_addr)
+
+# @notice Convert Tokens (self.token) to Tokens (exchange_addr.token).
+# @dev Allows trades through contracts that were not deployed from the same factory.
+# @dev User specifies exact input and minimum output.
+# @param tokens_sold Amount of Tokens sold.
+# @param min_tokens_bought Minimum Tokens (token_addr) purchased.
+# @param min_eth_bought Minimum ETH purchased as intermediary.
+# @param deadline Time after which this transaction can no longer be executed.
+# @param exchange_addr The address of the exchange for the token being purchased.
+# @return Amount of Tokens (exchange_addr.token) bought.
+@public
+def tokenToExchangeSwapInput(tokens_sold: uint256, min_tokens_bought: uint256, min_eth_bought: uint256(wei), deadline: timestamp, exchange_addr: address) -> uint256:
+    return self.tokenToTokenInput(tokens_sold, min_tokens_bought, min_eth_bought, deadline, msg.sender, msg.sender, exchange_addr)
+
+# @notice Convert Tokens (self.token) to Tokens (exchange_addr.token) and transfers
+#         Tokens (exchange_addr.token) to recipient.
+# @dev Allows trades through contracts that were not deployed from the same factory.
+# @dev User specifies exact input and minimum output.
+# @param tokens_sold Amount of Tokens sold.
+# @param min_tokens_bought Minimum Tokens (token_addr) purchased.
+# @param min_eth_bought Minimum ETH purchased as intermediary.
+# @param deadline Time after which this transaction can no longer be executed.
+# @param recipient The address that receives output ETH.
+# @param exchange_addr The address of the exchange for the token being purchased.
+# @return Amount of Tokens (exchange_addr.token) bought.
+@public
+def tokenToExchangeTransferInput(tokens_sold: uint256, min_tokens_bought: uint256, min_eth_bought: uint256(wei), deadline: timestamp, recipient: address, exchange_addr: address) -> uint256:
+    assert recipient != self
+    return self.tokenToTokenInput(tokens_sold, min_tokens_bought, min_eth_bought, deadline, msg.sender, recipient, exchange_addr)
+
+# @notice Convert Tokens (self.token) to Tokens (exchange_addr.token).
+# @dev Allows trades through contracts that were not deployed from the same factory.
+# @dev User specifies maximum input and exact output.
+# @param tokens_bought Amount of Tokens (token_addr) bought.
+# @param max_tokens_sold Maximum Tokens (self.token) sold.
+# @param max_eth_sold Maximum ETH purchased as intermediary.
+# @param deadline Time after which this transaction can no longer be executed.
+# @param exchange_addr The address of the exchange for the token being purchased.
+# @return Amount of Tokens (self.token) sold.
+@public
+def tokenToExchangeSwapOutput(tokens_bought: uint256, max_tokens_sold: uint256, max_eth_sold: uint256(wei), deadline: timestamp, exchange_addr: address) -> uint256:
+    return self.tokenToTokenOutput(tokens_bought, max_tokens_sold, max_eth_sold, deadline, msg.sender, msg.sender, exchange_addr)
+
+# @notice Convert Tokens (self.token) to Tokens (exchange_addr.token) and transfers
+#         Tokens (exchange_addr.token) to recipient.
+# @dev Allows trades through contracts that were not deployed from the same factory.
+# @dev User specifies maximum input and exact output.
+# @param tokens_bought Amount of Tokens (token_addr) bought.
+# @param max_tokens_sold Maximum Tokens (self.token) sold.
+# @param max_eth_sold Maximum ETH purchased as intermediary.
+# @param deadline Time after which this transaction can no longer be executed.
+# @param recipient The address that receives output ETH.
+# @param token_addr The address of the token being purchased.
+# @return Amount of Tokens (self.token) sold.
+@public
+def tokenToExchangeTransferOutput(tokens_bought: uint256, max_tokens_sold: uint256, max_eth_sold: uint256(wei), deadline: timestamp, recipient: address, exchange_addr: address) -> uint256:
+    assert recipient != self
+    return self.tokenToTokenOutput(tokens_bought, max_tokens_sold, max_eth_sold, deadline, msg.sender, recipient, exchange_addr)
+
+# @notice Public price function for ETH to Token trades with an exact input.
+# @param eth_sold Amount of ETH sold.
+# @return Amount of Tokens that can be bought with input ETH.
+@public
+@constant
+def getEthToTokenInputPrice(eth_sold: uint256(wei)) -> uint256:
+    assert eth_sold > 0
+    token_reserve: uint256 = self.token.balanceOf(self)
+    return self.getInputPrice(as_unitless_number(eth_sold), as_unitless_number(self.balance), token_reserve)
+
+# @notice Public price function for ETH to Token trades with an exact output.
+# @param tokens_bought Amount of Tokens bought.
+# @return Amount of ETH needed to buy output Tokens.
+@public
+@constant
+def getEthToTokenOutputPrice(tokens_bought: uint256) -> uint256(wei):
+    assert tokens_bought > 0
+    token_reserve: uint256 = self.token.balanceOf(self)
+    eth_sold: uint256 = self.getOutputPrice(tokens_bought, as_unitless_number(self.balance), token_reserve)
+    return as_wei_value(eth_sold, 'wei')
+
+# @notice Public price function for Token to ETH trades with an exact input.
+# @param tokens_sold Amount of Tokens sold.
+# @return Amount of ETH that can be bought with input Tokens.
+@public
+@constant
+def getTokenToEthInputPrice(tokens_sold: uint256) -> uint256(wei):
+    assert tokens_sold > 0
+    token_reserve: uint256 = self.token.balanceOf(self)
+    eth_bought: uint256 = self.getInputPrice(tokens_sold, token_reserve, as_unitless_number(self.balance))
+    return as_wei_value(eth_bought, 'wei')
+
+# @notice Public price function for Token to ETH trades with an exact output.
+# @param eth_bought Amount of output ETH.
+# @return Amount of Tokens needed to buy output ETH.
+@public
+@constant
+def getTokenToEthOutputPrice(eth_bought: uint256(wei)) -> uint256:
+    assert eth_bought > 0
+    token_reserve: uint256 = self.token.balanceOf(self)
+    return self.getOutputPrice(as_unitless_number(eth_bought), token_reserve, as_unitless_number(self.balance))
+
+# @return Address of Token that is sold on this exchange.
+@public
+@constant
+def tokenAddress() -> address:
+    return self.token
+
+# @return Address of factory that created this exchange.
+@public
+@constant
+def factoryAddress() -> address(Factory):
+    return self.factory
+
+# ERC20 compatibility for exchange liquidity modified from
+# https://github.com/ethereum/vyper/blob/master/examples/tokens/ERC20.vy
+@public
+@constant
+def balanceOf(_owner : address) -> uint256:
+    return self.balances[_owner]
+
+@public
+def transfer(_to : address, _value : uint256) -> bool:
+    self.balances[msg.sender] -= _value
+    self.balances[_to] += _value
+    log.Transfer(msg.sender, _to, _value)
+    return True
+
+@public
+def transferFrom(_from : address, _to : address, _value : uint256) -> bool:
+    self.balances[_from] -= _value
+    self.balances[_to] += _value
+    self.allowances[_from][msg.sender] -= _value
+    log.Transfer(_from, _to, _value)
+    return True
+
+@public
+def approve(_spender : address, _value : uint256) -> bool:
+    self.allowances[msg.sender][_spender] = _value
+    log.Approval(msg.sender, _spender, _value)
+    return True
+
+@public
+@constant
+def allowance(_owner : address, _spender : address) -> uint256:
+    return self.allowances[_owner][_spender]
\ No newline at end of file