diff --git a/crocoddyl/fddp.py b/crocoddyl/fddp.py
index b209133a66e7b2ea4fed7f6e052ca7b97039e354..7f81ab26f727c91379f20685384988fa0ca37021 100644
--- a/crocoddyl/fddp.py
+++ b/crocoddyl/fddp.py
@@ -1,5 +1,6 @@
import numpy as np
import scipy.linalg as scl
+import time
from .solver import SolverAbstract
from .utils import raiseIfNan
@@ -140,7 +141,9 @@ class SolverFDDP(SolverAbstract):
recalc = True
while True:
try:
+ # t = time.time()
self.computeDirection(recalc=recalc)
+ # print "TIME, Solving: Compute direction. Iteration " + str(i) + ": " + str(time.time()-t)
except ArithmeticError:
recalc = False
self.increaseRegularization()
diff --git a/examples/kinton_flying_base.py b/examples/kinton_flying_base.py
index f8c32a2d568a9bf73be7ac27eea88453c9d54c9a..8aab5679203b7b784d5d7e61bf21c1fcf3e9fc77 100644
--- a/examples/kinton_flying_base.py
+++ b/examples/kinton_flying_base.py
@@ -73,7 +73,7 @@ uLimCost = CostModelControl(rmodel,
runningCostModel.addCost(name="pos", weight=0.1, cost=goalTrackingCost)
runningCostModel.addCost(name="regx", weight=1e-4, cost=xRegCost)
runningCostModel.addCost(name="regu", weight=1e-6, cost=uRegCost)
-# runningCostModel.addCost(name="limu", weight=1e-3, cost=uLimCost)
+runningCostModel.addCost(name="limu", weight=1e-3, cost=uLimCost)
terminalCostModel.addCost(name="pos", weight=0, cost=goalTrackingCost)
# DIFFERENTIAL ACTION MODEL
diff --git a/examples/notebooks/kinton_fixed_base.ipynb b/examples/notebooks/kinton_fixed_base.ipynb
index 098a1a024c28e8234686ddf98d6fa358ee9110b8..a5aca50b4d2137ff69dd0f9cff3239c126c7001c 100644
--- a/examples/notebooks/kinton_fixed_base.ipynb
+++ b/examples/notebooks/kinton_fixed_base.ipynb
@@ -2,7 +2,7 @@
"cells": [
{
"cell_type": "code",
- "execution_count": 3,
+ "execution_count": 13,
"metadata": {},
"outputs": [],
"source": [
@@ -11,7 +11,7 @@
"import numpy as np\n",
"\n",
"robot = loadKintonArm()\n",
- "robot.initDisplay(loadModel=True)\n",
+ "robot.initViewer(loadModel=True)\n",
"robot.display(robot.q0)\n",
"\n",
"robot.framesForwardKinematics(robot.q0)\n",
@@ -23,40 +23,30 @@
},
{
"cell_type": "code",
- "execution_count": 4,
+ "execution_count": 14,
"metadata": {},
- "outputs": [
- {
- "data": {
- "text/plain": [
- " R =\n",
- "1 0 0\n",
- "0 1 0\n",
- "0 0 1\n",
- " p = 0 0 0"
- ]
- },
- "execution_count": 4,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
+ "outputs": [],
"source": [
"target_pos = np.array([-0.1,-0.05,-0.15])\n",
"target_quat = pin.Quaternion(.4, .02, -.5, .7)\n",
"target_quat.normalize()\n",
"\n",
"# Plot goal frame\n",
- "robot.viewer.gui.addXYZaxis('world/framegoal', [1., 0., 0., 1.], .015, 4)\n",
+ "robot.viewer.gui.addXYZaxis('world/framegoal', [1., 0., 0., 1.], .015, 1)\n",
"robot.viewer.gui.applyConfiguration('world/framegoal', target_pos.tolist() + [target_quat[0], target_quat[1], target_quat[2], target_quat[3]])\n",
"robot.viewer.gui.refresh()\n",
"\n",
"IDX_BASE = robot.model.getFrameId('base_link', pin.FrameType.BODY)\n",
"Mbase = robot.data.oMf[IDX_BASE]\n",
- "robot.viewer.gui.addXYZaxis('world/framebase', [1., 0., 0., 1.], .015, 4)\n",
+ "robot.viewer.gui.addXYZaxis('world/framebase', [1., 0., 0., 1.], .03, 0.5)\n",
"robot.viewer.gui.applyConfiguration('world/framebase', pin.se3ToXYZQUATtuple(Mbase))\n",
"robot.viewer.gui.refresh()\n",
- "Mbase"
+ "\n",
+ "IDX_EE = robot.model.getFrameId('link6', pin.FrameType.BODY)\n",
+ "Mee = robot.data.oMf[IDX_EE]\n",
+ "robot.viewer.gui.addXYZaxis('world/frameee', [1., 0., 0., 1.], .03, 0.5)\n",
+ "robot.viewer.gui.applyConfiguration('world/frameee', pin.se3ToXYZQUATtuple(Mee))\n",
+ "robot.viewer.gui.refresh()"
]
},
{
@@ -1423,7 +1413,7 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython2",
- "version": "2.7.15+"
+ "version": "2.7.16"
}
},
"nbformat": 4,
diff --git a/examples/notebooks/kinton_flying_base.ipynb b/examples/notebooks/kinton_flying_base.ipynb
index 4fb3c6d7e245a1182f3aa0996a0d9e6b6186a47c..2d4d9c004ab78b67d48e3f2bf4241639acd8f583 100644
--- a/examples/notebooks/kinton_flying_base.ipynb
+++ b/examples/notebooks/kinton_flying_base.ipynb
@@ -351,7 +351,7 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython2",
- "version": "2.7.12"
+ "version": "2.7.16"
}
},
"nbformat": 4,
diff --git a/examples/notebooks/kinton_flying_mission.ipynb b/examples/notebooks/kinton_flying_mission.ipynb
index 51afa8a87f65ed4940f5a518908bf5abc78390cb..e86064df1cdeeb1a6ee4384f70c5fd94648c6261 100644
--- a/examples/notebooks/kinton_flying_mission.ipynb
+++ b/examples/notebooks/kinton_flying_mission.ipynb
@@ -2,7 +2,7 @@
"cells": [
{
"cell_type": "code",
- "execution_count": 66,
+ "execution_count": 1,
"metadata": {},
"outputs": [],
"source": [
@@ -14,13 +14,13 @@
},
{
"cell_type": "code",
- "execution_count": 67,
+ "execution_count": 2,
"metadata": {},
"outputs": [],
"source": [
"# LOAD ROBOT\n",
"robot = loadKinton()\n",
- "robot.initDisplay(loadModel=True)\n",
+ "robot.initViewer(loadModel=True)\n",
"robot.display(robot.q0)\n",
"\n",
"robot.framesForwardKinematics(robot.q0)\n",
@@ -30,7 +30,7 @@
},
{
"cell_type": "code",
- "execution_count": 113,
+ "execution_count": 3,
"metadata": {},
"outputs": [],
"source": [
@@ -81,10 +81,11 @@
" np.array([5, 5, 5, 5, 1, 1, 1, 1, 1, 1])))\n",
"\n",
" # Then let's add the running and terminal cost functions\n",
- " runningCostModel.addCost(name=\"pos\", weight=1, cost=goalTrackingCost)\n",
- " runningCostModel.addCost(name=\"regx\", weight=1e-7, cost=xRegCost)\n",
- " runningCostModel.addCost(name=\"regu\", weight=1e-4, cost=uRegCost)\n",
+ " runningCostModel.addCost(name=\"pos\", weight=0.1, cost=goalTrackingCost)\n",
+ " runningCostModel.addCost(name=\"regx\", weight=1e-4, cost=xRegCost)\n",
+ " runningCostModel.addCost(name=\"regu\", weight=1e-6, cost=uRegCost)\n",
" #runningCostModel.addCost(name=\"limu\", weight=1e-3, cost=uLimCost)\n",
+ " terminalCostModel.addCost(name=\"pos\", weight=10, cost=goalTrackingCost)\n",
"\n",
" # DIFFERENTIAL ACTION MODEL\n",
" dmodel = DifferentialActionModelUAM(rmodel, actModel, runningCostModel)\n",
@@ -95,7 +96,7 @@
},
{
"cell_type": "code",
- "execution_count": 114,
+ "execution_count": 4,
"metadata": {
"scrolled": true
},
@@ -104,11 +105,11 @@
"# DEFINING THE SHOOTING PROBLEM & SOLVING\n",
"\n",
"# Defining the time duration for running action models and the terminal one\n",
- "dt = 1e-3\n",
+ "dt = 1e-2\n",
"\n",
"# For this optimal control problem, we define 250 knots (or running action\n",
"# models) plus a terminal knot\n",
- "T = 500\n",
+ "T = 50\n",
"\n",
"\n",
"# DEFINE POSITION WAYPOINTS\n",
@@ -129,7 +130,7 @@
},
{
"cell_type": "code",
- "execution_count": 115,
+ "execution_count": 5,
"metadata": {},
"outputs": [
{
@@ -137,121 +138,37 @@
"output_type": "stream",
"text": [
"iter \t cost \t stop \t grad \t xreg \t ureg \t step \t feas\n",
- " 0 4.12884e+02 3.67938e-02 1.31497e+03 1.00000e-09 1.00000e-09 1.0000 1\n",
- " 1 2.38168e+02 4.37121e-02 4.15129e+02 1.00000e-09 1.00000e-09 1.0000 1\n",
- " 2 2.07246e+02 3.80014e-02 8.08585e+01 1.00000e-09 1.00000e-09 0.5000 1\n",
- " 3 2.01504e+02 6.09189e-03 1.26262e+01 1.00000e-09 1.00000e-09 1.0000 1\n",
- " 4 2.00397e+02 1.11327e-02 2.47216e+00 1.00000e-09 1.00000e-09 1.0000 1\n",
- " 5 2.00145e+02 4.89374e-04 9.23825e-01 1.00000e-09 1.00000e-09 1.0000 1\n",
- " 6 1.99985e+02 4.08639e-04 7.66832e-01 1.00000e-09 1.00000e-09 1.0000 1\n",
- " 7 1.99885e+02 2.97127e-04 6.72826e-01 1.00000e-09 1.00000e-09 1.0000 1\n",
- " 8 1.99826e+02 2.78160e-04 5.62730e-01 1.00000e-09 1.00000e-09 1.0000 1\n",
- " 9 1.99788e+02 3.32463e-04 4.99581e-01 1.00000e-09 1.00000e-09 1.0000 1\n",
+ " 0 3.51425e+00 1.27336e-04 1.22872e+01 1.00000e-09 1.00000e-09 0.5000 0\n",
+ " 1 2.32067e+00 4.16275e-05 3.89873e+00 1.00000e-09 1.00000e-09 0.5000 0\n",
+ " 2 1.17724e+00 5.80554e-05 2.00231e+00 1.00000e-09 1.00000e-09 1.0000 1\n",
+ " 3 1.09163e+00 1.06224e-05 2.37892e-01 1.00000e-09 1.00000e-09 1.0000 1\n",
+ " 4 1.06827e+00 1.78135e-06 7.83426e-02 1.00000e-09 1.00000e-09 1.0000 1\n",
+ " 5 1.06011e+00 1.57027e-06 2.81042e-02 1.00000e-09 1.00000e-09 1.0000 1\n",
+ " 6 1.05728e+00 1.83779e-07 1.06911e-02 1.00000e-09 1.00000e-09 1.0000 1\n",
+ " 7 1.05611e+00 3.19838e-07 4.55371e-03 1.00000e-09 1.00000e-09 1.0000 1\n",
+ " 8 1.05558e+00 3.47870e-08 2.19753e-03 1.00000e-09 1.00000e-09 1.0000 1\n",
+ " 9 1.05530e+00 9.59146e-08 1.17187e-03 1.00000e-09 1.00000e-09 1.0000 1\n",
"iter \t cost \t stop \t grad \t xreg \t ureg \t step \t feas\n",
- " 10 1.99673e+02 4.31859e-04 4.33920e-01 1.00000e-09 1.00000e-09 0.5000 1\n",
- " 11 1.99659e+02 3.16549e-05 2.10171e-02 1.00000e-09 1.00000e-09 1.0000 1\n",
- " 12 1.99654e+02 3.98525e-06 7.16689e-03 1.00000e-09 1.00000e-09 1.0000 1\n",
- " 13 1.99651e+02 5.27315e-06 4.64218e-03 1.00000e-09 1.00000e-09 1.0000 1\n",
- " 14 1.99649e+02 6.87421e-06 3.54310e-03 1.00000e-09 1.00000e-09 1.0000 1\n",
- " 15 1.99648e+02 9.59427e-06 3.31298e-03 1.00000e-09 1.00000e-09 1.0000 1\n",
- " 16 1.99648e+02 1.33639e-05 3.50811e-03 1.00000e-09 1.00000e-09 1.0000 1\n",
- " 17 1.99647e+02 1.92685e-05 4.33352e-03 1.00000e-09 1.00000e-09 1.0000 1\n",
- " 18 1.99646e+02 2.77032e-05 5.52910e-03 1.00000e-09 1.00000e-09 0.5000 1\n",
- " 19 1.99645e+02 3.59833e-07 6.54565e-04 1.00000e-09 1.00000e-09 1.0000 1\n",
+ " 10 1.05514e+00 1.33286e-08 6.87744e-04 1.00000e-09 1.00000e-09 1.0000 1\n",
+ " 11 1.05505e+00 3.73615e-08 4.35857e-04 1.00000e-09 1.00000e-09 1.0000 1\n",
+ " 12 1.05499e+00 7.66134e-09 2.97648e-04 1.00000e-09 1.00000e-09 1.0000 1\n",
+ " 13 1.05496e+00 1.79607e-08 2.15688e-04 1.00000e-09 1.00000e-09 1.0000 1\n",
+ " 14 1.05493e+00 5.28123e-09 1.64650e-04 1.00000e-09 1.00000e-09 1.0000 1\n",
+ " 15 1.05491e+00 1.02704e-08 1.30749e-04 1.00000e-09 1.00000e-09 1.0000 1\n",
+ " 16 1.05490e+00 3.91971e-09 1.07069e-04 1.00000e-09 1.00000e-09 1.0000 1\n",
+ " 17 1.05488e+00 6.66467e-09 8.96834e-05 1.00000e-09 1.00000e-09 1.0000 1\n",
+ " 18 1.05487e+00 3.00024e-09 7.63338e-05 1.00000e-09 1.00000e-09 1.0000 1\n",
+ " 19 1.05487e+00 4.68907e-09 6.57508e-05 1.00000e-09 1.00000e-09 1.0000 1\n",
"iter \t cost \t stop \t grad \t xreg \t ureg \t step \t feas\n",
- " 20 1.99645e+02 4.93022e-07 6.38851e-04 1.00000e-09 1.00000e-09 1.0000 1\n",
- " 21 1.99644e+02 7.04896e-07 6.54829e-04 1.00000e-09 1.00000e-09 1.0000 1\n",
- " 22 1.99644e+02 1.00715e-06 6.96629e-04 1.00000e-09 1.00000e-09 1.0000 1\n",
- " 23 1.99643e+02 1.46463e-06 7.69297e-04 1.00000e-09 1.00000e-09 1.0000 1\n",
- " 24 1.99643e+02 2.12629e-06 8.79861e-04 1.00000e-09 1.00000e-09 1.0000 1\n",
- " 25 1.99642e+02 3.11183e-06 1.04658e-03 1.00000e-09 1.00000e-09 1.0000 1\n",
- " 26 1.99642e+02 4.54850e-06 1.28989e-03 1.00000e-09 1.00000e-09 1.0000 1\n",
- " 27 1.99641e+02 6.67282e-06 1.65051e-03 1.00000e-09 1.00000e-09 1.0000 1\n",
- " 28 1.99641e+02 9.78380e-06 2.17569e-03 1.00000e-09 1.00000e-09 1.0000 1\n",
- " 29 1.99641e+02 1.43706e-05 2.95283e-03 1.00000e-09 1.00000e-09 1.0000 1\n",
- "iter \t cost \t stop \t grad \t xreg \t ureg \t step \t feas\n",
- " 30 1.99640e+02 2.11225e-05 4.09048e-03 1.00000e-09 1.00000e-09 0.5000 1\n",
- " 31 1.99639e+02 2.83572e-07 5.96823e-04 1.00000e-09 1.00000e-09 1.0000 1\n",
- " 32 1.99639e+02 3.96363e-07 6.20164e-04 1.00000e-09 1.00000e-09 1.0000 1\n",
- " 33 1.99638e+02 5.65593e-07 6.53720e-04 1.00000e-09 1.00000e-09 1.0000 1\n",
- " 34 1.99637e+02 8.01686e-07 6.99668e-04 1.00000e-09 1.00000e-09 1.0000 1\n",
- " 35 1.99637e+02 1.15466e-06 7.64695e-04 1.00000e-09 1.00000e-09 1.0000 1\n",
- " 36 1.99636e+02 1.65631e-06 8.55478e-04 1.00000e-09 1.00000e-09 1.0000 1\n",
- " 37 1.99636e+02 2.39368e-06 9.85617e-04 1.00000e-09 1.00000e-09 1.0000 1\n",
- " 38 1.99635e+02 3.45025e-06 1.16962e-03 1.00000e-09 1.00000e-09 1.0000 1\n",
- " 39 1.99635e+02 4.98928e-06 1.43516e-03 1.00000e-09 1.00000e-09 1.0000 1\n",
- "iter \t cost \t stop \t grad \t xreg \t ureg \t step \t feas\n",
- " 40 1.99634e+02 7.20340e-06 1.81347e-03 1.00000e-09 1.00000e-09 1.0000 1\n",
- " 41 1.99634e+02 1.04132e-05 2.36121e-03 1.00000e-09 1.00000e-09 1.0000 1\n",
- " 42 1.99634e+02 1.50477e-05 3.14641e-03 1.00000e-09 1.00000e-09 1.0000 1\n",
- " 43 1.99633e+02 2.17590e-05 4.28683e-03 1.00000e-09 1.00000e-09 1.0000 1\n",
- " 44 1.99632e+02 3.15119e-05 5.93587e-03 1.00000e-09 1.00000e-09 0.5000 1\n",
- " 45 1.99631e+02 3.80198e-07 7.03865e-04 1.00000e-09 1.00000e-09 1.0000 1\n",
- " 46 1.99631e+02 5.23991e-07 7.32775e-04 1.00000e-09 1.00000e-09 1.0000 1\n",
- " 47 1.99630e+02 7.38637e-07 7.74974e-04 1.00000e-09 1.00000e-09 1.0000 1\n",
- " 48 1.99629e+02 1.02834e-06 8.31246e-04 1.00000e-09 1.00000e-09 1.0000 1\n",
- " 49 1.99629e+02 1.45715e-06 9.09909e-04 1.00000e-09 1.00000e-09 1.0000 1\n",
- "iter \t cost \t stop \t grad \t xreg \t ureg \t step \t feas\n",
- " 50 1.99628e+02 2.04964e-06 1.01689e-03 1.00000e-09 1.00000e-09 1.0000 1\n",
- " 51 1.99627e+02 2.90795e-06 1.16822e-03 1.00000e-09 1.00000e-09 1.0000 1\n",
- " 52 1.99627e+02 4.10701e-06 1.37673e-03 1.00000e-09 1.00000e-09 1.0000 1\n",
- " 53 1.99626e+02 5.82397e-06 1.67332e-03 1.00000e-09 1.00000e-09 1.0000 1\n",
- " 54 1.99626e+02 8.23618e-06 2.08521e-03 1.00000e-09 1.00000e-09 1.0000 1\n",
- " 55 1.99625e+02 1.16689e-05 2.67241e-03 1.00000e-09 1.00000e-09 1.0000 1\n",
- " 56 1.99625e+02 1.65142e-05 3.49328e-03 1.00000e-09 1.00000e-09 1.0000 1\n",
- " 57 1.99624e+02 2.33965e-05 4.66633e-03 1.00000e-09 1.00000e-09 1.0000 1\n",
- " 58 1.99623e+02 3.31810e-05 6.32127e-03 1.00000e-09 1.00000e-09 0.5000 1\n",
- " 59 1.99622e+02 3.63119e-07 7.96719e-04 1.00000e-09 1.00000e-09 1.0000 1\n",
- "iter \t cost \t stop \t grad \t xreg \t ureg \t step \t feas\n",
- " 60 1.99621e+02 4.87484e-07 8.21522e-04 1.00000e-09 1.00000e-09 1.0000 1\n",
- " 61 1.99620e+02 6.70729e-07 8.57725e-04 1.00000e-09 1.00000e-09 1.0000 1\n",
- " 62 1.99620e+02 9.08512e-07 9.04717e-04 1.00000e-09 1.00000e-09 1.0000 1\n",
- " 63 1.99619e+02 1.25716e-06 9.69006e-04 1.00000e-09 1.00000e-09 1.0000 1\n",
- " 64 1.99618e+02 1.72338e-06 1.05410e-03 1.00000e-09 1.00000e-09 1.0000 1\n",
- " 65 1.99617e+02 2.38848e-06 1.17185e-03 1.00000e-09 1.00000e-09 1.0000 1\n",
- " 66 1.99617e+02 3.29106e-06 1.32984e-03 1.00000e-09 1.00000e-09 1.0000 1\n",
- " 67 1.99616e+02 4.55918e-06 1.54961e-03 1.00000e-09 1.00000e-09 1.0000 1\n",
- " 68 1.99615e+02 6.29277e-06 1.84679e-03 1.00000e-09 1.00000e-09 1.0000 1\n",
- " 69 1.99615e+02 8.70729e-06 2.26081e-03 1.00000e-09 1.00000e-09 1.0000 1\n",
- "iter \t cost \t stop \t grad \t xreg \t ureg \t step \t feas\n",
- " 70 1.99614e+02 1.20237e-05 2.82389e-03 1.00000e-09 1.00000e-09 1.0000 1\n",
- " 71 1.99614e+02 1.66223e-05 3.60888e-03 1.00000e-09 1.00000e-09 1.0000 1\n",
- " 72 1.99613e+02 2.29727e-05 4.68360e-03 1.00000e-09 1.00000e-09 1.0000 1\n",
- " 73 1.99611e+02 3.17782e-05 6.18582e-03 1.00000e-09 1.00000e-09 0.5000 1\n",
- " 74 1.99611e+02 3.11900e-07 8.72919e-04 1.00000e-09 1.00000e-09 1.0000 1\n",
- " 75 1.99610e+02 4.07247e-07 8.90782e-04 1.00000e-09 1.00000e-09 1.0000 1\n",
- " 76 1.99609e+02 5.43301e-07 9.17106e-04 1.00000e-09 1.00000e-09 1.0000 1\n",
- " 77 1.99608e+02 7.12379e-07 9.50400e-04 1.00000e-09 1.00000e-09 1.0000 1\n",
- " 78 1.99607e+02 9.57466e-07 9.95153e-04 1.00000e-09 1.00000e-09 1.0000 1\n",
- " 79 1.99607e+02 1.27369e-06 1.05274e-03 1.00000e-09 1.00000e-09 1.0000 1\n",
- "iter \t cost \t stop \t grad \t xreg \t ureg \t step \t feas\n",
- " 80 1.99606e+02 1.71701e-06 1.13089e-03 1.00000e-09 1.00000e-09 1.0000 1\n",
- " 81 1.99605e+02 2.29949e-06 1.23268e-03 1.00000e-09 1.00000e-09 1.0000 1\n",
- " 82 1.99604e+02 3.10158e-06 1.37149e-03 1.00000e-09 1.00000e-09 1.0000 1\n",
- " 83 1.99603e+02 4.16385e-06 1.55334e-03 1.00000e-09 1.00000e-09 1.0000 1\n",
- " 84 1.99602e+02 5.61273e-06 1.80175e-03 1.00000e-09 1.00000e-09 1.0000 1\n",
- " 85 1.99602e+02 7.53748e-06 2.12814e-03 1.00000e-09 1.00000e-09 1.0000 1\n",
- " 86 1.99601e+02 1.01511e-05 2.57435e-03 1.00000e-09 1.00000e-09 1.0000 1\n",
- " 87 1.99600e+02 1.36278e-05 3.16181e-03 1.00000e-09 1.00000e-09 1.0000 1\n",
- " 88 1.99600e+02 1.83472e-05 3.96650e-03 1.00000e-09 1.00000e-09 1.0000 1\n",
- " 89 1.99599e+02 2.46376e-05 5.02936e-03 1.00000e-09 1.00000e-09 1.0000 1\n"
- ]
- },
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "iter \t cost \t stop \t grad \t xreg \t ureg \t step \t feas\n",
- " 90 1.99599e+02 3.32130e-05 6.49300e-03 1.00000e-09 1.00000e-09 1.0000 1\n",
- " 91 1.99597e+02 4.47017e-05 8.43978e-03 1.00000e-09 1.00000e-09 0.5000 1\n",
- " 92 1.99596e+02 3.66901e-07 9.40917e-04 1.00000e-09 1.00000e-09 1.0000 1\n",
- " 93 1.99595e+02 4.64742e-07 9.53069e-04 1.00000e-09 1.00000e-09 1.0000 1\n",
- " 94 1.99594e+02 6.07280e-07 9.76036e-04 1.00000e-09 1.00000e-09 1.0000 1\n",
- " 95 1.99593e+02 7.73138e-07 1.00503e-03 1.00000e-09 1.00000e-09 1.0000 1\n",
- " 96 1.99592e+02 1.01393e-06 1.04490e-03 1.00000e-09 1.00000e-09 1.0000 1\n",
- " 97 1.99592e+02 1.30863e-06 1.09510e-03 1.00000e-09 1.00000e-09 1.0000 1\n",
- " 98 1.99591e+02 1.71772e-06 1.16344e-03 1.00000e-09 1.00000e-09 1.0000 1\n",
- " 99 1.99590e+02 2.23199e-06 1.24991e-03 1.00000e-09 1.00000e-09 1.0000 1\n"
+ " 20 1.05486e+00 2.32762e-09 5.70767e-05 1.00000e-09 1.00000e-09 1.0000 1\n",
+ " 21 1.05486e+00 3.45906e-09 4.98511e-05 1.00000e-09 1.00000e-09 1.0000 1\n",
+ " 22 1.05485e+00 1.81663e-09 4.36968e-05 1.00000e-09 1.00000e-09 1.0000 1\n",
+ " 23 1.05485e+00 2.62022e-09 3.84228e-05 1.00000e-09 1.00000e-09 1.0000 1\n",
+ " 24 1.05484e+00 1.42137e-09 3.38379e-05 1.00000e-09 1.00000e-09 1.0000 1\n",
+ " 25 1.05484e+00 2.01389e-09 2.98487e-05 1.00000e-09 1.00000e-09 1.0000 1\n",
+ " 26 1.05484e+00 1.11298e-09 2.63449e-05 1.00000e-09 1.00000e-09 1.0000 1\n",
+ " 27 1.05484e+00 1.56013e-09 2.32720e-05 1.00000e-09 1.00000e-09 1.0000 1\n",
+ " 28 1.05484e+00 8.71453e-10 2.05599e-05 1.00000e-09 1.00000e-09 1.0000 1\n"
]
},
{
@@ -259,10000 +176,1000 @@
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+ " 2.42835109e-05, 1.00481324e-02, -1.08777612e-03, -5.99571634e-04,\n",
+ " -2.34199338e-04, 2.19150136e-03]),\n",
+ " array([ 3.66497986e+00, 3.63520750e+00, 3.63325746e+00, 3.66690870e+00,\n",
+ " 1.97067896e-05, 5.85412142e-03, -1.07986968e-03, -5.93927297e-04,\n",
+ " -2.30748161e-04, 1.28078692e-03]),\n",
+ " array([ 3.64514924e+00, 3.63828090e+00, 3.63636239e+00, 3.64705079e+00,\n",
+ " 1.51579955e-05, 1.69398546e-03, -1.07123388e-03, -5.87427270e-04,\n",
+ " -2.26524586e-04, 3.78003045e-04]),\n",
+ " array([ 3.62828565e+00, 3.64415066e+00, 3.64227183e+00, 3.63015170e+00,\n",
+ " 1.06417762e-05, -2.42516251e-03, -1.06130603e-03, -5.79600857e-04,\n",
+ " -2.21189014e-04, -5.14709000e-04]),\n",
+ " array([ 3.61439495e+00, 3.65277231e+00, 3.65094491e+00, 3.61621367e+00,\n",
+ " 6.17115790e-06, -6.48656633e-03, -1.04929788e-03, -5.69793192e-04,\n",
+ " -2.14271878e-04, -1.39286939e-03]),\n",
+ " array([ 3.60346679e+00, 3.66401267e+00, 3.66225340e+00, 3.60522136e+00,\n",
+ " 1.77272959e-06, -1.04568625e-02, -1.03411973e-03, -5.57103013e-04,\n",
+ " -2.05129536e-04, -2.24801676e-03]),\n",
+ " array([ 3.59546071e+00, 3.67759093e+00, 3.67592323e+00, 3.59712748e+00,\n",
+ " -2.50497553e-06, -1.42760232e-02, -1.01427525e-03, -5.40298605e-04,\n",
+ " -1.92886184e-04, -3.06532334e-03]),\n",
+ " array([ 3.59021700e+00, 3.69292430e+00, 3.69138077e+00, 3.59176307e+00,\n",
+ " -6.57826075e-06, -1.78425538e-02, -9.87713408e-04, -5.17706365e-04,\n",
+ " -1.76361520e-04, -3.82006639e-03]),\n",
+ " array([ 3.58709708e+00, 3.70867301e+00, 3.70729848e+00, 3.58847710e+00,\n",
+ " -1.03078273e-05, -2.09913680e-02, -9.51611398e-04, -4.87069750e-04,\n",
+ " -1.53995366e-04, -4.47231978e-03]),\n",
+ " array([ 3.58367064e+00, 3.72128649e+00, 3.72014175e+00, 3.58482302e+00,\n",
+ " -1.34678176e-05, -2.34602133e-02, -9.02026028e-04, -4.45393945e-04,\n",
+ " -1.23824369e-04, -4.95883366e-03]),\n",
+ " array([ 3.57107534e+00, 3.72015252e+00, 3.71931764e+00, 3.57191872e+00,\n",
+ " -1.57002893e-05, -2.48378328e-02, -8.33235570e-04, -3.88860236e-04,\n",
+ " -8.37231873e-05, -5.18042207e-03]),\n",
+ " array([ 3.51782116e+00, 3.67107341e+00, 3.67064616e+00, 3.51825577e+00,\n",
+ " -1.64520078e-05, -2.44824373e-02, -7.36215199e-04, -3.13139791e-04,\n",
+ " -3.26658630e-05, -4.98243519e-03]),\n",
+ " array([ 3.31356513e+00, 3.45946346e+00, 3.45953460e+00, 3.31349722e+00,\n",
+ " -1.48985113e-05, -2.13919115e-02, -5.94487640e-04, -2.15263700e-04,\n",
+ " 2.44565878e-05, -4.12851385e-03]),\n",
+ " array([ 2.57458619e+00, 2.69413091e+00, 2.69464954e+00, 2.57406254e+00,\n",
+ " -9.89238399e-06, -1.39969790e-02, -3.72692469e-04, -1.00585553e-04,\n",
+ " 6.12364647e-05, -2.31966354e-03])],\n",
+ " True)"
]
},
- "execution_count": 115,
+ "execution_count": 5,
"metadata": {},
"output_type": "execute_result"
}
@@ -10280,7 +1197,7 @@
},
{
"cell_type": "code",
- "execution_count": 116,
+ "execution_count": 6,
"metadata": {},
"outputs": [],
"source": [
@@ -10289,7 +1206,7 @@
},
{
"cell_type": "code",
- "execution_count": 109,
+ "execution_count": 7,
"metadata": {},
"outputs": [],
"source": [
@@ -10325,24 +1242,24 @@
},
{
"cell_type": "code",
- "execution_count": 112,
+ "execution_count": 9,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
- "<matplotlib.text.Text at 0x7feda970e3d0>"
+ "Text(0.5,0,'[s]')"
]
},
- "execution_count": 112,
+ "execution_count": 9,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
- "image/png": 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xUAfgne/0+h/EzNab2QYz29DS0pKSQWpNnoiIyKHim6GP4pxL91BERCQFZhzkmdmHgGbn3MYUjGeMc+5G51yNc66moqIiJa+pdE0REZFDRYJ+nIPBEa3LExHJBoEUvMZ5wEfM7AogAhQB/wKUmFnAm61bAjR4/RuApUC9mQWAYmB/CsZxVJrJExEROVRe0A/AwPAoEe9YREQy14xn8pxzf+mcW+KcWwF8EnjMOfdp4HHgGq/bOuBe7/g+7zHe+cfcHOWHqLqmiIjIoSJjQZ5m8kREssFs7pP3F8DXzKyW+Jq7m732m4Fyr/1rwDdmcQwHiRdeGdGaAxERkSR5ofjHAVXYFBHJDqlI1xzjnHsCeMI73gmcNUGfAeDjqXzfySoIB4m5+J3KvJDSUUREROBAuqY2RBcRyQ6zOZM37xSE4xcxpWyKiIgcMJauOaIgT0QkG+RUkJcfjk9cqsKmiIjIAWNBnmbyRESyQk4GeZrJExEROWAsXVNr8kREskJOBXkFCvJERCQNzMxvZpvM7H7v8TFm9qKZ1ZrZHWYW8trD3uNa7/yKuRhfYp26gjwRkeyQU0Ge0jVFRCRNvgJsTXr8XeB659wqoB24zmu/Dmj32q/3+s26SEBbKIiIZJOcCvJUeEVEROaamS0BPgjc5D024CLgLq/LLcBV3vGV3mO88xd7/WdVJLGFwpCujyIi2SDHgrwgAL2DSkcREZE588/AnwOJabJyoMM5l4io6oHF3vFioA7AO9/p9T+Ima03sw1mtqGlpWXGA4yG4pkuStcUEckOORXk5XszeUrXFBGRuWBmHwKanXMbU/m6zrkbnXM1zrmaioqKGb9eovCKboKKiGSHlG6GPt/lh1R4RURE5tR5wEfM7AogAhQB/wKUmFnAm61bAjR4/RuApUC9mQWAYmD/bA/S7zMiQZ9m8kREskROzeT5fEY05FeQJyIic8I595fOuSXOuRXAJ4HHnHOfBh4HrvG6rQPu9Y7v8x7jnX/MOefmYqz5oYAyXUREskROBXkQr7Cpi5iIiKTZXwBfM7Na4mvubvbabwbKvfavAd+YqwHlhfz0azN0EZGskFPpmhDfK08zeSIiMtecc08AT3jHO4GzJugzAHx8TgfmyQ8F6FV1TRGRrJCDM3l+zeSJiIiMEw376dNMnohIVsi5IK8gHFD1MBERkXGiIQV5IiLZIieDPKVrioiIHCyqwisiIlkj54K8fAV5IiIih4iG/NpCQUQkS+RkkKc7lSIiIgeLz+QpyBMRyQY5F+QpXVNERORQ+SE//aquKSKSFXIuyMsPBRgciTEyGkv3UEREROaNaMhP3/Aoc7T3uoiIzKLcC/LCfgClpIiIiCSJhgM4BwPDugkqIpLpci7IK4zE93/vUUqKiIjImGjIuwmq66OISMbLuSAvP+wFeQO6iImIiCREQ/HrY58yXUREMl7uBnkqviIiIjIm35vJ6xvW9VFEJNPlXJBX4AV52kZBRETkgLyQ1qyLiGSLnAvy8kMK8kRERMZLZLr0DynIExHJdDMO8swsYmYvmdmrZvaGmf2d136Mmb1oZrVmdoeZhbz2sPe41ju/YqZjmIoCpWuKiIgcIi+owisiItkiFTN5g8BFzrlTgdOAy8zsbOC7wPXOuVVAO3Cd1/86oN1rv97rN2cObKGgi5iIiEiCZvJERLLHjIM8F9fjPQx6Xw64CLjLa78FuMo7vtJ7jHf+YjOzmY5jsgq8LRR6dRETEREZoy0URESyR0rW5JmZ38w2A83AI8AOoMM5l7hS1AOLvePFQB2Ad74TKJ/gNdeb2QYz29DS0pKKYQIQDvgJ+o1ubaEgIiIyJhHkaQsFEZHMl5Igzzk36pw7DVgCnAWckILXvNE5V+Ocq6moqJjxGJPlhwNK1xQREUkytk+eMl1ERDJeSqtrOuc6gMeBc4ASMwt4p5YADd5xA7AUwDtfDOxP5TiOpiAcUOEVERGRJH6fEQ746FO6pohIxktFdc0KMyvxjvOAS4GtxIO9a7xu64B7veP7vMd45x9zzrmZjmMqCsIBpWuKiIiMkx8OaCZPRCQLBI7e5aiqgVvMzE88aLzTOXe/mb0J/MLMvgVsAm72+t8M3GZmtUAb8MkUjGFKiiJBugeG5/ptRURE5rW8oF+FV0REssCMgzzn3Bbg9AnadxJfnze+fQD4+EzfdyYKIwH2dQ6kcwgiIiLzTn7Yry0URESyQErX5GWKgojW5ImIiIwXDQW0xZCISBbIySCvMBJQuqaIiMw6M4uY2Utm9qqZvWFmf+e1H2NmL5pZrZndYWYhrz3sPa71zq+Yy/FGQ376dBNURCTj5WiQF6R7YIQ5rvciIiK5ZxC4yDl3KnAacJmZnQ18F7jeObcKaAeu8/pfB7R77dd7/eaMZvJERLJDjgZ5AUZijsGRWLqHIiIiWczF9XgPg96XAy4C7vLabwGu8o6v9B7jnb/YzGyOhkthRPvIiohkg9wM8sLxejNdStkUEZFZZmZ+M9sMNAOPADuADudcIpqqBxZ7x4uBOgDvfCdQPsFrrjezDWa2oaWlJWVj1T6yIiLZITeDvEgQQHvliYjIrHPOjTrnTgOWEK86fUIKXvNG51yNc66moqJixmNMyA8H6NG1UUQk4+VokBefyVOQJyIic8U51wE8DpwDlJhZYhujJUCDd9wALAXwzhcD++dqjIWRAEOjMQZHtC5PRCST5WiQF5/J091KERGZTWZWYWYl3nEecCmwlXiwd43XbR1wr3d8n/cY7/xjbg6rhBV4yxl6BxXkiYhkshlvhp6JEhcxbaMgIiKzrBq4xcz8xG+s3umcu9/M3gR+YWbfAjYBN3v9bwZuM7NaoA345FwONnF97BkYoSw/NJdvLSIiKZSTQZ7SNUVEZC4457YAp0/QvpP4+rzx7QPAx+dgaBMqSFwfB3UTVEQkk+VkumZRovCKKoiJiIiMSZ7JExGRzJWTQd7YnUqla4qIiIwZW5M3pCBPRCST5WSQ5/cZ0ZBf6ZoiIiJJCrScQUQkK+RkkAfxdXlKRxERETmgMJGuqeUMIiIZLYeDvKAWlouIiCRJzOTpJqiISGbL2SCvIBxQOoqIiEiSvKAfn2kmT0Qk0+VskFcYCdClIE9ERGSMmZGvm6AiIhkvZ4O8okiQHlXXFBEROUhhOECvZvJERDJazgZ5hRHdqRQRERmvIBJQuqaISIbL2SBPa/JEREQOVRBWkCcikulyNsgrjATpHx5lZDSW7qGIiIjMGwWRoG6CiohkuBwO8rQXkIiIyHgFYb+ujSIiGS7ngzzdrRQRETmgQIVXREQyXs4HeV2qsCkiIjKmIBzUZugiIhkuh4O8IIAuZCIiIkkKIgF6hkaIxVy6hyIiItM04yDPzJaa2eNm9qaZvWFmX/Hay8zsETPb7n0v9drNzH5oZrVmtsXMzpjpGKZD6ZoiIiKHKgwHcA76hkfTPRQREZmmVMzkjQBfd86tBc4GvmRma4FvAI8651YDj3qPAS4HVntf64EbUjCGKUvM5CldU0RE5ID8sFeYTDdBRUQy1oyDPOfcPufcK95xN7AVWAxcCdzidbsFuMo7vhK41cW9AJSYWfVMxzFVxXlekNevIE9ERCShYKz6tK6PIiKZKqVr8sxsBXA68CJQ5Zzb551qBKq848VAXdLT6r228a+13sw2mNmGlpaWVA4TgCLvItbZrzuVIiIiCQcKk+n6KCKSqVIW5JlZAfA/wFedc13J55xzDpjSCm7n3I3OuRrnXE1FRUWqhjkm4PeRH/LTqZk8ERGRMUURZbqIiGS6lAR5ZhYkHuD93Dl3t9fclEjD9L43e+0NwNKkpy/x2uZccV5QQZ6IiEiS4jzN5ImIZLpUVNc04GZgq3PuB0mn7gPWecfrgHuT2q/1qmyeDXQmpXXOqaK8oAqviAAt3YM8urWJ4dFYuociImlW5K1Z101QEZHMFUjBa5wHfAZ4zcw2e21/BfwDcKeZXQfsBj7hnXsQuAKoBfqAz6VgDNOimTwRGB6N8Yn/eJ53Wnv57Lkr+OZHTkz3kEQkjZSuKSKS+WYc5DnnngHsMKcvnqC/A7400/dNheK8IHva+tI9DJG0enxbM++09lKcF+T2l/bwJ5ceN1Z9VkRyTyToJxzwKcgTEclgKa2umWk0kycC92xqoKIwzI9/90yGRmI8v2N/uockkjXMbKmZPW5mb5rZG2b2Fa+9zMweMbPt3vdSr93M7IdmVmtmW8zsjHSMW8sZREQyW04HeUUK8iTHOed4Yed+3ndcBWcuLyUc8PHSO23pHpZINhkBvu6cWwucDXzJzNYC3wAedc6tBh71HgNcDqz2vtYDN8z9kHUTVEQk0+V0kFecF6RvaFTFJiRnvdPaS3vfMGcuLyUU8HH6shJe2qWZPJFUcc7tc8694h13A1uJ7w17JXCL1+0W4Crv+ErgVhf3AlCSqFQ9l4oiAbq0j6yISMbK+SAPVEFMctfG3e0AnLm8FIBTl5bwVmM3I7rxIZJyZrYCOB14EahKqizdCFR5x4uBuqSn1Xtt419rvZltMLMNLS0tKR+rZvJERDKbgjxUQUxy11uN3YQDPo6tKABgdWUhw6OO3SpIJJJSZlZAfD/ZrzrnupLPeQXJ3FRezzl3o3OuxjlXU1FRkcKRxmlNnkxGLOb4zoNb+cu7t9A3pJlfkfkkFVsoZCzN5Emu29HSw7EVBfh98QK5qyvjwd72ph5WeoGfiMyMmQWJB3g/d87d7TU3mVm1c26fl47Z7LU3AEuTnr7Ea5tTRZGgboDKUf16y17+46mdAJTlh/izD5yQ5hGJSEJOz+Rpw1fJdbUtPaysyB97vNIL8mqbu9M1JJGsYmYG3Axsdc79IOnUfcA673gdcG9S+7Velc2zgc6ktM45U5wXpGtghPgko8jE7tpYz5LSPN6/too7Xq4nFtO/F5H5IqeDvOK8+ESmgjzJRQPDo9S397Oq8sCMXUE4wMKiCDtbe9M4MpGsch7wGeAiM9vsfV0B/ANwqZltBy7xHgM8COwEaoGfAH+YhjFTlBdgNOboHRpNx9tLBugaGObZ2lY+cuoiPnDiQlp7Btna2HX0J4rInMjpdM0ircmTHLajpQfnOCjIA1halkdDe3+aRiWSXZxzzwB2mNMXT9DfAV+a1UFNQvJyhoJwTn9UkMN4ta6DmINzVpZzXFUhAM9sb+XERcVpHpmIQM7P5CldU3JXbXMPwCFr75aWRqlXkCeS04oiugkqR7Z5TwcApywpoaoowjEL8nllT3uaRyUiCTkd5IUDfiJBH10DqggluecdLyXzmAX5B7UvKc1jX2e/9o8UyWG6CSpH82p9Bysr8sf+raxdVMSb+5SuKTJf5HSQB95eQH26iEnuaWjvp6ooTCToP6h9SWmUmIPGzoE0jUxE0k3LGeRotjf3cEJ10djjtdVF1LX168aAyDyhIE8bvkqOqm/vZ3FJ3iHtS0rjbXXt2itPJFdpJk+OZHBklLq2PlYmZYKsXRQP+LZpNk9kXsj5IK8ooiBPclNDRz9LSqOHtFcVRwBo7hqc6yGJyDwxtiZPyxlkArv39xFzB7bdAVjlre9+R9WZReaFnA/yNJMnuWg05tjb0T82a5esqige5DV1KV1TJFcVRLTFkBzezpZDC3ctKskj6Dd27VcWiMh8oCBPQZ7koKauAUZijsUTBHkF4QDRkJ/mbs3kieQqv88ojAS0Jk8mtNsL5JaXH8gG8fuMpWVRdu/XTJ7IfJDzQV5RXlAXMck5DR3xLRImStcEqCwMayZPJMeVRIN09A2lexgyD+3t6KcoEqDQS+tNWFGer5k8kXki54O84rwg3YMjjMZcuociMmfqvaIqE6VrAlQWRTSTJ5LjyqIh2lR9WibQ0DHAogkKd60oz2f3/l6c02cqkXRTkKcy0ZKDGrzNzieqrgnxmbxmzeSJ5LTS/JBm8mRCezsmrs68YkGUvqFRWnSTUCTtcj7IK82PB3ntupBJDtnXOUBZfuiQPfISqryZPN2NFcldpdEQbb26Nsqh9nb2Tzh2gs+AAAAgAElEQVSTt7w8vqWCUjZF0k9BXjQEQLtSUiSHNHUNUlkYPuz5ysIwfUOj9AyqfLpIriqNhujQtVHG6R0coaNveMIgb1lZfJ13XZuCPJF0y/kgryzfC/J0t1JySFPXAAu9/fAmkthGQevyRHJXaTRIz+AIgyOj6R6KzCN7vcJdi0oOvYZUe9eVfZ39czomETlUzgd5iZm8NqVrSg5p6hqgqvDwQV5ilk8VNkVyV6l3E1SzeZIsUZ15ojV5kaCf0miQfZ26doikm4K8sYuYgjzJDSOjMVp7Bqk6wkxehRfkafG8SO4ay3TR9VGS7O2IB3ATpWsCVBfnKcgTmQdyPsjLD/kJ+X209epOpeSG1p4hYg6qig6/Jk9pzCJSEo0XJlPxFUnW1DWAGYdd172oJDKW0iki6ZOSIM/M/tPMms3s9aS2MjN7xMy2e99LvXYzsx+aWa2ZbTGzM1IxhukyM0rzg/owKzmj0UvBXFh0+Jm8kmgIM324E8llZUrXlAk0dw9Snh8i4J/4I+TC4ohm8kTmgVTN5P0MuGxc2zeAR51zq4FHvccAlwOrva/1wA0pGsO0lUZDWpMnOSOxzq7qCEGe32eU5AX1/0Ikh42tWdfNHknS0j3IgoLDZ4JUF+fR2T9M35CqM4ukU0qCPOfcU0DbuOYrgVu841uAq5Lab3VxLwAlZladinFMV7xMtC5ikhsmE+RB/C6+PtyJ5K5EuqYyXSRZS8/g2LrtiSSqbmo2TyS9ZnNNXpVzbp933AhUeceLgbqkfvVe20HMbL2ZbTCzDS0tLbM4TH2YldzS1DVAwGeUe6lYh1OWH2J/z+z+v9jX2c+Dr+2ja0DpYCLzTTjgpyAc0D6ycpDW7iMHedXF8YIs+zoU5ImkU2Au3sQ558zMTfE5NwI3AtTU1EzpuVNVmh/URUxyRmNnfCN0n8+O2K8sP8Q7rb2zNo5drb1c9aNn6egb5tiKfO5Yf84RPziIyNwriQZVXVPGOOdoOWqQF5/J26u98kTSajZn8poSaZje92avvQFYmtRvideWNmVeumYsNquxpMi80Nw9QOVRUjUByvLDszrD/bf3vYFz8N2rT6a+vZ9vPfDmrL2XiEyPMl0kWVf/CEOjMSqOsCZvoRfkNSpdUyStZjPIuw9Y5x2vA+5Nar/Wq7J5NtCZlNaZFiXREDGHUsYkJzR2Dhxx+4SE8vwQ7X3Ds3Lz463Gbp58u4X17zmW33nXMr5wwTHcu3kvbzd1p/y9RGT6SrRmXZK09MQDtyPN5IUDfhYUhNinmTyRtErVFgr/DTwPHG9m9WZ2HfAPwKVmth24xHsM8CCwE6gFfgL8YSrGMBOJMtG6Wym5oKlr4IjbJySU5ocYjTk6+1N/8+P+LXvxGXzyXfFJ/evOP5ZwwMfPntuV8vcSkekri6rKrhzQ3D0IHDnIg/i6vL1akyeSVqmqrvkp51y1cy7onFvinLvZObffOXexc261c+4S51yb19c5577knFvpnDvZObchFWOYidLExs+6kEmW6x8apWtgZFLpmonCLLPxAe/hN5p414oyyr2Un7L8EB88uZr7X93L4Mhoyt9PJF0yeR9ZiF8f23uV5SJxLV6Qd7iN0BOqisJjlZxFJD1mM10zY5R5ewHpQibZrmkSG6EnzNYMd2vPIG81dXPRCZUHtX/4tEV0DYzw9NutKX0/kTT7GRm8j2x5foiewREGhnXzRQ4EeRUFR76GVBVFFOSJpJmCPA7sBaSUFMl2jZPcIw8OBHmp3kbhld3tAJy5vPSg9vNXLaA0GuTXW/am9P1E0inT95FNpOW19gymcxgyT+zvHSLoN4ryjlycvaooQnvfsDIzRNJIQR5akydH19k3zKY97Rl/wRqbySs+euGVsllKY35lTwdBv3HS4uKD2oN+H5eureLxbc2MjMZS+p4i88yM9pGFudtLdkFBIsjT9VGgvXeI0mgIsyNvwZPIFmnu0s0BkXRRkAdEQ34iQR/7dadSJvDk2y2c/73H+OiPnuPCf3yC7RlcATIR5E1uC4XZufnxyp521i4qJhL0H3LufcdX0jUwwqa6jpS+p8h85ZxzwJRL2DrnbnTO1TjnaioqKmZhZHGJIC+Rpie5ra13aOzacCSVXgVnpWyKpI+CPMDMqCgM606lHKK+vY8v/fwVFpfk8Y/XnMJIzPG5n71Mz+BIuoc2LU1dg0RDfgrDR061AYgE/eSH/ClN1xyNObbUd3DGspIJz5+3agF+n/HEW80TnhfJEhmzj6zSNTNDZ98wD73eOOvBeHtffCbvaBJ75TVpJk8kbRTkeRYUhHWnUg7xvYfeYiQW46Z1NXy8Zik3/O4ZNHT082+P1aZ7aNPS2DVAVVHkqKk2CaX5Idp6U/f/Yvf+XgaGY6ytLprwfHFekDOXlfLEW7OXfiYyD2TMPrLlBfEP9Lo+zl/bm7q5+AdP8MX/2sglP3iSHS09s/Zek53Jqyr0NkTXTJ5I2ijI8ywoCOtOpRykoaOf+7fsZd25K1hSGgXgzOVlfPiURdz6/K6MXMPZ3DW5jdATyvNDtPWlrurs9ub4h4/jqgoP2+e9x1fwxt4umvXhQLJApu8jGw74Kc4L6vo4Tw2NxPjif20EjBs+fQZ+n/H1O18lngWceu19w5TmB4/aryQaJBTw6fe4SBopyPMoyJPx7nhpDw74zNnLD2r/44tX0T88yi0ZuHF3YiZvskqiITpSWHil1gvyVlUWHLbPe4+Lry96eru2UpDMl+n7yAIsKAjp+jhP3f7ibna09PK9a07m8pOr+fr7j2NzXQfP7dif8vcajTk6+obGtp06EjOjqiismTyRNFKQ56koDLO/d0hV/QSAWMxxx4Y63ntcxdgsXsKqykIuWF3BnRvqGI3Nzt3S2eCco6lrcFJ75CWURoMpra75dlM3i0vyyD/CmsC11UWU54d4plZBnsh8UFGo5Qzz0WjMcdMz73DWijIuPD6+7+jVZyyhOC/IXRvrU/5+Xf3DxFw8jX8yFmqvPJG0UpDnqSgI4Zz2ypO4TXUdNHUN8tHTJ6xezqfetZR9nQM89XbmrB1r7xtmaCQ29Zm83hSmazb1sLrq8LN4AD6fcd6qBTy9vZVYBgXRItkqnumia+N889utTdS39/P581eMrbOOBP1cduJCHnmzKeUb2Cc+H01mTR7Eqzir8IpI+ijI84ztBdStC5nAw282EvQbF55QOeH5i9dUUZYf4p5NaS18NyWNnYk98qYykxeie3CE4RTMcI/GHDtaeo64Hi/hgtULaO0ZZFtj5m5XIZItVJhsfrrz5TqqiyNcsqbqoPYPnFRFz+AIG3a1p/T92r116JOprgnx4itNXQOztj5wtsVijn9/vJb3fO9xPv7j53i9oTPdQxKZEgV5ngUqEy1JHnmjibOPLacoMvEC81DAxwdOrOLRram/WzpbEmkzU5nJSyyw70hB8ZV9nf0MjsQ4ZkH+UftesDq+Lu+Z2syZKRXJVhWFYXoGRzLmd10u6B4Y5untrVx+UjUB/8Ef5c46ppyAz3huR2pT3hPFxiY7k7ewOEzf0GjGbjn0vd+8xT/+5i0Wl+Sxe38fn7rxBera+tI9LJFJU5DnqdCGr+LZ19nPztbesTUOh3P5SdX0Do3yZIakbCaCvKnM5JV4d2xTUXxlj3dxXF4WPUrP+BhXVxao+IrIPKDr4/zz2LZmhkZjXH7ywkPOFYQDnLq0JOXFVxLrsye7Ji9xQzET1+Vt2tPOj5/cwafOWsbtX3g3//MH5wLwV/e8luaRiUyegjyPZvIkIZHi8q4VZUfsd87KckqiQR58La3bWE1aY9cAZlBZOPktFBJV1FKxXcSe/fEgb1n50YM8iM/mvfROm2YPRNIssSF6i66P88Zv3mikojDMmctKJzx/5vJS3tzbxdBI6orJtXnrsydTXROSg7zM+nfjnOObv36TysIw/+eDazAzlpZF+colq3l6eysvvdOW7iGKTIqCPE9+yE8k6FOQJ2zY1UY05GdN9ZHXjgX9Pj6wdiGPbm3OiECkqWuA8vwwQf/k/9uXROPpmu0pSNfc09ZHwGdUF+dNqv8FqxcwOBLj5V26oIqk0wLN5M0r/UOjPL6thQ+cWIXPZxP2OXlxMUOjMd5uSt265va+ISJBH3kh/6T6J4K8xHrwTPFMbSuv1nXwtUuPoyCpEvTvnr2ckmiQ217YncbRiUyegjyPmamC2DyzZ38f//HkDr770DZ+80bjnG1XsGF3O6cvKzlkncNErjilmp7BkYxIK2zsnNpG6HAgLSdV6ZpLSvPwH+ZDyXjvPraMoN8y4s9WJJslfm80K8ibF558u4X+4VEuO7H6sH1OXlwMwGspLBbS1ju5PfISEv9umrozK8j7ydPvUFEY5qNnHFxdOxL0c9Vpi/nNG40p3T9WZLYoyEuivYDmh8GRUb79wJu8758e5zv/u42fPLWT379tI9f8+LlZ//vpGRxh674uzlx+5FTNhHOOLacoEuA3bzTO6rhSoXGKe+RBfJ88SN1M3rLyoxddSYiGApy5vFRBnkialReECfiMxs7+dA9FiKdqlkSDvPvYw1+nlpdHKYwEUhrktfcOTXo9HsR/hxdGAjRl0ExeXVsfT73dwmfOXk44cOiM5SdqljI0EuO+V/emYXQiU6MgL0l8Jk9BXjr1DI5w3c828JOn3+GTZy3juW9cxLb/7zJ+8IlT2bavm9+96UX6hmavUtfmPR3EHNQsn3idw3ihgI9L1lTx261NKdlmYDY1dQ1QNYWiKwB5QT+hgC9lM3nLyiaXqplwweoKtu7rojnD7gSLZBO/z6gqirCvQ/8P021oJMZvtzZx6ZqqI6bemxmnLCnmtfoUzuT1DU26smbCwgzbK+/ezfFtkT52xsR75K5dVMSqygIefqNpLoclMi0K8pJUFYUzsgpUthgaiXHdz17m+Z37+cdrTuHvP3oyi0ryCPh9fOyMJfz4M2fydnM337zvjVkbw8u72vAZnL6sZNLP+cBJC+noG57Xi7EHR0Zp6x2a8kyemVEaDY5VVZuuroFhOvqGWVo6uaIrCe/xtlJ4tlazeSLptLA4wr4MmpHJVs/taKV7YITLTjq0quZ4axYW8XZTd8qWOrT3Dk16j7yEqqIIjRnyuco5x6827+WsFWUsOcK16pI1Vbywcz9dAzPPcBGZTQryklQX59HeN5wRRTSyjXOOb9y9hRffaeP7Hz+Vj9csPaTPe4+r4Pffs5I7N9SzcffsBFQbd7dz/MIiCg+zP95E3rO6gkjQx0Ovz9+UzWbvTupUgzyIb3w703TNxAzAopKpzeSduKiI0mhQKZsiabawOHM+rGezh15vpCAc4PzVC47ad1VlAYMjMRraU5Nm29Y79Zm8qqIIzRny7+aNvV3UNvdw5emLjtjv0rWVjMQcT7yVGdsnSe5SkJck8QFYdyvn3r89VsvdrzTwJ5ccx1WnT5wmAfDli1ZRVRTm/96/FedSW4hlZDTGpj3tk07VTMgL+XnfcZX85o1GYnNUHGaqEh/OppquCfEKmzNN12ycxh59AD6fcd6qBTy9vTXlf98iMnnVRRH2dfbr/2EajYzGePjNJi46oXLC9WLjraosAKC2ZeYVNodHY3QNjExjJi9Mc/fgvL02Jrt3cwNBv/HBkw9f0AbgtKWllEaDPDWHe+TWtfXx2LYmtjV26f+gTJqCvCTVxYkgT4vL59J9r+7l+4+8zUdPX8wfX7zqiH3zwwG+eslxvFrXkfKNXrc1dtM7NErNiqkFeQCXnbSQ5u5BNtV1pHRMqZIoYZ2umbyxjdin8f4XrF5AS/cgb6WwFLiITE11SR4DwzE6+5Wili4v72qnrXdoUqmakBTkNffM+L07vGtAWf7ks1wgPpM3EnPsT8Feq7NpNOa4d/Ne3ntcJSVHCWT9PuOcleU8v2P/rAdc/UOjfP3OV7nge4/z+Z9t4LJ/fpqrb3iOrfu6ZvV9JTsoyEuSmGXItD1dMtnG3W386S9f5awVZfzD1SdjdvTy+h89fTEVhWF+/OSOFI8lvgl6zVE2QZ/IhSdUEvTbvK2yOZMgqzQ/NOOZvER1tcopbuEAcL63Lu8ZpWyKpE3iJuheFV9Jm4de30ck6ON9x1dMqn9JNMSCglBKgrzEuuypVNeE5A3R5/e/mxd27qe5e5CrjpKqmXDOygU0dPSzp61v1sY0Mhrj9259mbs31fPF967kf/7gXP7uIydS197PVf/+LA/P088bMn8oyEuS2KRZ6Zpz453WXn7vlg0sKo7w48+cOan0E4jvVbPunOU8vb2VXa29KRvPy7vaqC6OsHiK68YAivOCnLtyAQ+93jgvUykaOweIBH0U5QWO3nmceOGV4Rn9XI1dA5RGg5P+O062uCSPVZUF/HarqpmJpMvYTdAuZbqkQyzmeOiNRt57XAXR0OR/j6+sKEhJkNfmzcRNZZ88SNorb54Heb/a1EBBOMAla6om1f/cleUAKc8oSvaPD7/Fs7X7+e7Vp/CNy0/gzOWlrDt3BQ/+8QWsqS7iS7e/wm/f1HVRDk9BXpK8kJ+SaDArZ/Kcc/Mq+NjfM8hnf/oSZsbPPnfWlBdzX3PmUnwGd26oS9mYNu5u58wprsdLdtlJC9nT1se2xvmXVtjYNcDCosikZkrHK42GGI05ugamv3VFU9fA2B3d6bji5GpefKdt3n9QEMlWB5Yz6P9gOmyqa6epa5DLTzryerHxVlUWsKNl5jdD23unN5OXuDkwn7dRGBge5aHXG7nspIVEgpO7EXnsgnwqC8OzFuRta+zipqff4ZPvWsonxhWiqygMc+t1Z7G2uog/+u9XeD2FeyFKdpn6bf0st7AoM8tEN3UN8Fp9J6/v7WT3/j72dvTT2DVAz8AI/cOj9HsVQ4N+HyG/j0jQR2k0RGl+iPL8EFVFEZaXR1lRns/y8ihLy6JH3INnJvb3DPLpm16ksXOA279wNisWTH6D7ISFxREuPL6SuzbW87VLjyMww7E2dPSzr3NgykVXkl2ypoq/std46PVG1lQXzWg8qba3o3/KlS0TEusTOvqGKM6b2nqMhKauwSkXXUn2kVMX8cNHt/PAln18/vxjpv06IjI9FQVhfKblDOny61f3EQ74uGTt5GaaEpaXR+nsH6azb5ji6PR+f0N8jzxgyjdkFxSEMWNeV2Z9dGsz3YMjXHXa4Yu+jWdmnLuynGdq4+vypnMD9Ui+/cBWCiMB/uKyEyY8XxQJctO6d3Hlvz3DF27dwL1/dB6VhdO/xkp2SluQZ2aXAf8C+IGbnHP/kK6xJKsujmREOopzji31nTz42j4e29bMdi8dwwwWFeexqCTCKUtKKIoEyAv6iQT9mMHQaIzhEUf/8CjtvUO09Q1R29zD09tb6Rk8MFMTDvhYu6iIUxYXc+rSEs5ZWT6WzjoTezv6+exPX2L3/j5+cm3NjGbOPvGupTy6rZmntrdw0QlTu/CNt2FXfEuG6azHS6goDHPWijLu3dzAVy9ZnfJf+jNR394/6XUc45V6Hwza+4ZZXj6992/sGuDERdMPfFdVFrC2uohfb9mb0iDPOcc7rb283dTNztZe2nqG4tuojIyCA0d89tvv8xHwGX6fjfvuI+A/THvisf8w7UnnfZb8Ff8A4bN4dVEj6bHXx7xjG2ubuI8lPQ4HfOSF/IQDvnn1b1MyQ8Dvo7IwojV5aTAac9y/ZR8XnVBJQXhqH9uWlcX3e6tr76M4WjztMSRm8kqmGCgG/T4WFITn9TYKv9rcQGVhmHNWTu0CV7OijF9t3ktdWz/Lyqe2B+yRvN7QydPbW/nzy44/4sxpRWGYn6yr4ZobnueLt23kv9efPa0lEZK90hLkmZkf+HfgUqAeeNnM7nPOvZmO8SRbWJzHa/N46nt4NMY9rzTws+d28ea+LoJ+46xjyviddy3l9GUlnLCwiPwpXgQg/mG3rXeIXfv72NXay9Z9XWxp6OSXG+u55fndAKysyOf8VQs4d9UCzj62fMqzOk+93cKf3LGZgeFRfvrZd3HuqqPv83MkFx5fSVEkwP2v7ptxkLdxdzvRkJ8TFhbO6HU+XrOUP/3lq7z0ThvvPnaaEVGKDY6M0tw9yOKS6V2EEjN5090QfXg0RmvPIJUzSNcEuPK0RXznf7dR29zNqsrp/z0553jpnTbu2dTAE2+1HHSHORryUxoNEQnGZ4YTwVAs5hiJOUZjjpFYzPvuGB09uD0DqoQD8Zs4kaDfuwEUP44E/eSH/URDAQrCAaIhPwXhAPlJx9FwgIKwn/xQvD0/HCA/5Cc/HL+Z5PMpeMxm1SURVZ9Ogxd37qe1Z5APnzq5oiDJlpXFM2X2tPVx0uLpB3ltvcMUhAPTCiKqisLzNtW+rXeIJ95qZt05K/BP8fdXohL3ht1tKQ3ybnxqJwXhAJ9+9/Kj9j1xUTHf/8Sp/OHPX+FvfvU63736FN3EkzHpmsk7C6h1zu0EMLNfAFcCaQ/yqosjtPYMMTgyOq/uiDgXv5P3Tw+/xe79faypLuJbV53ER05bRNEUNu4+HDOjvCBMeUH4oNm10ZjjrcZuntvRyjO1rdy5IR70+QxOWVLC+asWcN6qBZyxvOSwf16v1Xfy4yd38MBr+1hZkc9/fOacsdLOMxEK+Hj/iQv5zeuNM/77enlXO2csK51x2ucVJy/km/e9wR0b6qYd5A2NxLj7lXoefrOJxs4Bjl9YyO9dcAwnLpreBTqxEfni0unNxCZm8qZbYbOlexDnplfZM9k1Zy7h+w+/za3P7+b/XnnSlJ/vnOORN5v4wSNvs62xm4JwgAtWL+A9x1Vw4qIiVlYUTOsGSbJYzDHq3LggMCkoHPseYyTmGBk90AaOmIu/RszFxxtzEHPx+cSYt642FosfJ/dxJD8+0Me5A30HR+Jp2wPDMQaHE8fxx4njvqFR9vf00Ts0Qu/gKL2DIwyOxCb1s5tBNOjnO1efwkem8WFU5r+lpVE21bWnexg559db9hEN+bnw+MopP3dpWfz3/u79M6sC2d43ROkUt09IWFgUoWGezgDft7mB4VHH1WcumfJzV1cWUhgOsHF3Ox87Y+rPn0hj5wAPvLaPz5+3YtI30q84uZo/vmgVP3ysljXVRXzuPC1pkLh0BXmLgeSKGfXAu5M7mNl6YD3AsmXL5mxgiXVDzV2DLC1L3Z2Zmahv7+Ovf/U6T7zVwprqIm5eV8NFJ1TOyd0av89Yu6iItYuK+L0LjmVoJMYre9p5rjYe9N3w5A7+7fFaIkEfxy8s4tgF+ZRGQ/gMmrsH2VzXwZ62PvJDfr5y8Wr+4H0rJ72weTI+eEo1d22s55ntrVw8yapY43UPDPNWYxdfvmj1jMcTDQX4yGmLuPuVev72QydOeQ3EO629rL91A9ubezhmQT4ryqM8urWJX7+6l+9efcq0LkT17fE779OpGgqMbX7b3ju9/bHGtm8onvr2CcnKC8J86NRq/sdbh3m0vYyS1TZ381d3v85Lu9o4tiKf7119Ch8+dRF5odTeyPH5DB9GCv+Jp93waIy+wVEv8Buhdyge/PUMjtA3NELP4Ch9gwfOHVM+9TW2khmWlUV54LV9DI/GZm3Nthysf2iUB7bs5dK1VdP6fVUYCVKWH5pxqf+23qEpV9ZMqCyKsGnP/NxD9q5X6jlxUdG01tH7fcZpy0rGtl9Khbs31TMac/zu2UefxUv21UuOY2tjN996YCvHVRVy3gwzpSQ7zNvCK865G4EbAWpqauYsCWqRt+6soaN/XgR5v32ziT+5czOjMcfffngt104jpSCVQgEfZx9bztnHlvO19x9P98AwL+5s49kdrbzd1M2LO/fTPTDCSMyxoDDE8VVFfOGCY7jy9MUpmXEc77yVCyiKBHhgy75pB3mb9nQQc0xrE/SJfObs5dz+4h5ufX4XX7548oHj09tb+NLPX8HvM266toaL18QD+c6+Yf7w9o382V2vUl0S4dyVU/vl3dARv7gvmeZMXlFeEJ9NfyYvEeTNpLpmwu+/ZyX3bGrghid38JeXrzlq/1jM8dPndvG9h7YRDfn59kdP4ndqls54xjaXBP0+iqO+GRVtkOywrCzKaMyxr2Mgpelpc8U5x97OAfZ19NPaM0Rb7xADw6MMj8a82XQI+X2Egz7CAR/hQDwVuSQapCQvSHE0SEleiFBg7n5/3L9lL10DI3zqrOnf7F5aFqVuhkFee9/QlIuuJCwsirC/d/5lSL3V2M3rDV38vx9aO+3XqFlexj8/+jZdA8Mz/ozjnOOujfWctaKM5VO8WebzGdf/zml87EfP8qXbX+HuPziXYytmnjElmS1dQV4DkFwTdonXlnaJ1Ia6tj7OTuOaKucc1/92Oz98dDsnLy7mR58+Y14EneMVRoJcsrZqyhW/UiUU8PGBExfy0AxSNjfsbsdncPqy1AR5a6qLuPD4Cn763C4+f/4xR00BdM7x02d38a0H3mR1ZSE3ras56O+6OBrkJ9fW8KEfPsOf/XILD331AgqncDFpaO/HZ0y7uqXfZxTnxffKm45ENb5UBHnHLyzko6ct5mfP7uJT71p2xMqs9e19/OkvX+WFnW1csqaSv//Yyao+JhlhvhYmS/xe2t3WmxFB3sDwKC+908azta28tKuN7U09BxUYm66iSIClZVGWlkY5piJ/rEDZdCsYH8nPX9zDqsoC3n3M9IuCLS+LsrluZjNpbb1DrJpm0JDYK6+le5AlpfPn380dL9cR8BlXnjb99PIzl5fiHGze08F7jptecbOETXUd7Gzp5YvvWTmt5xeEA/zk2ho+9qPn+NRPXuCO9edMq3q5ZI90BXkvA6vN7Bjiwd0ngf8nTWM5yKKSPHzGjO96zcRozPHXv3qN/36pjmvOXMK3rjoppSmO2eaKk6v55cZ6nqvdz4UnTH3NwsbdbZywsGjKVcuO5I8vXs1Hf/Qc//Z47WFLIEN8ndRf35YgTXcAACAASURBVPM6v9xYz/vXVvGD3zltwnFEQwH+6ROn8rEfPceNT+3k6+8/ftJjqW/vZ2FRZEbpVaXR0FgJ7alq7Bok6Ldpp/qM92eXHc+j25r5yh2buWP92Yf833DOccfLdXzrga0AfO/qU/h4zRItRpeMMJ8Lky33AruZpv7Nts11HfzipT3cv2UfPYMjBP3GaUtLuPqMxayuKmRpWZTy/BDlBSHygn4Cfh9Bf/z3w9BIjMGR2Nj33sER2vuG6OgbpqN/mM6+IZq6Bqlr72N7czePbmtieDQ+C3hsRT6XrKniytMWTXsNdbIt9R1sruvgbz+8dka/v1KRZtveOzTlPfISEjf4mroG5k2Q1z0wzJ0b6vjgKdX8/+zdd5zcVb3/8ddnZ7b3TXZTNpUUQkgggaUIItIEghKaFAuoKFeFq9d6sdyr13q9FhR7FH9iQUQFiUiRKkUSCAkJCSFk09u2bN/N1jm/P+Y7yZJtszuzMzsz7+fjsY+dOd/vzpz9QvbM53s+53Mm5I1+KcGSGUWkWbB4W6RB3sqX95PpT+PixZNH/RozJ+Ty+w+dxnUrVnHdL1bxyxsqovL/IgT/H9he18aOujaqmzuobwvOhjcd6qYr9G+mN/gdOFzt2fpVfw4+N7znaaHzQm19nhsDVI22N7x22hueBx/70mzI48H3PfI43dtaLNN/pBhZqEBZ6Hvf4mS5Gb6EyAiKS5DnnOsxs1uARwjeqfyVc25TPPpytHRfGlOLsuM2iPX0BviPP77MAxsOcPM5c/j0247Vh9NhnDF3AvmZfh7aeGDEQV5Pb4B1uxu5ahRr3YaydEYxV540jV8+s51LFk8ZsKpZTXMHH/7dS6zd3cjHzp3Lf5w/f8jqhCfNKOaSE6Zwx7M7uOGMWUwMc2DaXd/OtAhngYty0kedrlnT3EFZflbUKi9OKczmf69YzEd+v5YP3rmG711zImX5WTjnWLu7ke88soXntx/kjDkT+NaVJ4zLGXCRIYzbwmSTCrLI8KWN2yDvpV0NfP+x13lmax05GT4uXjSFt584hdNml5CTEd7HnUy/j5HU7u3s6WXzgRbW7mrgyS01/L/ndrDi6e0smV7EB8+azbJFU0b9t++HT1RSkOWPeHyKNM22o7uXtq7eUadrHgnyRr8hendvgBVPb+eeNXtoOtTNvLI8rjllBlcsLR/V9f3ji3to7ezhxgi35MnL9LNgckHE6/ICAcfDG6s4e37piDJ1BrJgcgF3feh0PvDrF7nqp8/zpXcs5JpTpo/os2RzRzcv725k7e4GXtrVwCv7mmg8KpsnJ8NHSW4GhdnpZPrTyPCnUZiRToYvGEy9oXhYn++9AXe4WFhvwNHd695QTCxUaCxUQAyOFBALvYZzwSJnwceh4/2LlgUC3nsOctxFsBgsw592uBJ1boafHK/ydI5XcfpwVeoM/+HgsDA7nUtOmDL6Nx2huK3Jc849CDwYr/cfyoySnLgMYs45Pn/fKzyw4QC3XryAD589uin7VJPp93HucWU8+mo1Pb2BEd1d2Xyghfau3oj26xvM55ct4Pltddz0mzX9Nn1/8rUaPvPn9bR29vCjdy3l7SeEly7yifPn8/cNB/j9qt18/Pzw1vvtqGvjggjTaYtzMjgwyk2Qq5o7ItoIfSAXL57Cd955Irf+ZQNnfetJFkwp4GBrJ3sbDjEhN4OvXbaId506QyX9JRENW5gM4lOczJdmTCvOjmumy0Dq27r45oOb+dNLe5mYl8Hnly3gXafNjGp2xmAy/T6WTC9iyfQiPvDm2TS1d/OXtXv53apd3HLXOhZO2canL5zPOceOrFjahr2NPPpqNZ84f37EH/ojTbMNfbgvHmU2RijIqxrlGNLR3csH71zDs5V1nDVvIjMn5LB6ez2f/tN6frdqF9+9+kTmjCCVtLOnl//33E5OnVXCCdOKRtWnvk6eWcy9a4MFU0ZbM2HDviaqmjv4zPHhZ+kM5bgpBdx/y5l87A/ruPXeV7j7xT186KxjOGdBab8bHs45tte1sXZXA2t3N7JudwNbqltwLlg1+dhJ+Vx0/GTmluVxTGkusyfmMaUwKykyzEIBX3dvgI7uXjp7AoerTnf2BL+H2tu7ejjUFbzh0d7ZQ2tXz+GiZH2Lk9W1dr6hraP7SIXq0vzM1AjyxrMZJTk8trk65u/7rYe3cM+avXzsvHkK8Ebo4kWTuf/l/bywo35E+++t3nEQgNNmR3/95YS8TFZcX8F77ljNO370LO8+bSYF2X6e2lLLCzvqmT8pjz986HTmTQr/vvHcsjzeMr+Uu17YxUfPmTNs6k1TezcH27qYHWFeflFOBpsPNI/qZ6uaOyLef3AgV508jYqZxdz5/E5er26hvKiQj7x1DpctKY94KwSR8S5excmmx+km6GCeq6zj43evo7G9mw+fPYePnTc37Fm7sVCYk84H3jybG86Yxcr1+7jt0a184NdrOHPuBL54ycKwqjj2Bhz/9deNTMzL5P1vnhVxn0JFt/Y3jm6Pw3pvI/SSUW6hUJyTToYvjeqW0QV533xwM89W1vF/V57A1acEyzk45/jry/v4yt9eZfmPnuPbV53AxYvD+/D8u1W72dd4iG9csXhU/TnayTOL+e2qXbxW1Tzq1MhHNlXhTzPOO27kS04GU5afxR8+dDp/emkvP3xiKzfftZYMXxpzyvKYmJdBb8BR19rJ7vr2w4FIfpafpTOKuXjRFE6eWcyJ0wsjvskwnpkZPgNfmm/Mgtae3gDt3b20d/YeTmWNFX0SGsD0khzqWrto6+yJ2YfFe9bs4Wf/3MZ7Tp/BJ8KcoZEjzp5fRlZ6Gg9trBphkFfPzAk5UZ9pCllUXsjfbnkz/33/RlY8vY2Ag1kTcvjCsuO4/oyZoyoUc/3pM/ngb9bw6KvVLBtmUNtxsA0g4iCvOGf0hVeqmzo4O8K1CoOZNTGXL73j+DF5bZE4GbeFySC4Lm/t7gacc3FdSuCc48dPVvLdR19nTmkev73xtFGVwR8rvjTj8qXTePsJU/n9ql18//GtXHL7M1xzynQ+ecGxlOYPnm7/kycrWb+3ie9fsyQqVaknF2ZhBvtHuVddg5eqP5Jta/oyM8oKMqkZRbrm6u0HufP5Xbz/zFmHA7zQa16+dBqnzZ7AR36/lo/8fi0fOms2n71owZA3P6ubO7j98a2cNW9i1MalUCbQ2l0NowrynAumar5pzoRRX+PBmBlXV0znypOm8a9tdTyztY5tNa3Ut3fhM2NGSS5nzStlXlkeJ88sZk5pnjJgoszvS6PAlzYmFeaHfe+Yv2MCmOGlNuxpaGfB5LEfNNbvaeSLf93Im+dO5MvvOF5r8EYhO8PHW+eX8cimKv7n0uPD+iMVCDhe3FnP28a4Muj0khz+3/tPpaO7l96AIyfDF9F/43MWlFFelM1dq3cPH+TVtQLBggCRKM7NOLxh9kjudrV0dNPW1RvxRugiKWTcFiaD4PjY0tFDY3v3qAtxRKo34PjCfcEUtEtPnMo3r1g8bmfv031pvO/M2Vy2tJzbH6/kN8/v5G/rD/DRc+bwgTNn9/t7es+aPXzvsde5fGl5RFUfj+7DpPysiGfyJkTw33tyQdaI0zWdc3z7kS1MLsjisxcOXMBsalE29/zb6Xztgc384pkdrN3dyA+vWzpgpdOe3gCf/tN6Ont6+fKl0bs5OK04m7L8TNbsauC9b5o14p/fWtPKjro2PhDh+sCh+NKMs+aVcta8sbnhKuPT+C8NEwehCmI769rG/L3qWjv58O9eojQvk9uvW5oQ1XrGq4sXT6ampZN1e8JbAP16TQuN7d2cOgapmgMJVmbyRxzE+9KMK08q57ltdYf3oBvMjto20oyIi48UeXukHb3wejihhfbR2D5BJBU453qAUGGyzcA946UwGRzJCtgeg/FxIF09AW65ay13v7iHfz93Lj+4dsm4DfD6KsrJ4L/fsZB/fOItvGnOBP7v4S2c991/suLpbTy/7SBPvFbNv/9hHZ/98wbOnDORb16xOKo3fKcUZbG/KbIgL5KgflJB1rDj1dGe33aQNbsauPmcOUNuBJ/p9/HVyxZx+3VLee1AM8tuf4a7X9hNb+BIFvOhrl4+ec96ntlax5fecfyI1vANx8w4ZXYJL+yox42ikscjG6swgwvjtBWVJK/x/5cxDkIbSG6rHdtBzDnHp/+0nvq2Lv7ykTNGXblKgs5dUEaGL42HN1Zx8szh9xRavb0eIKL9h+Jl+dJybn+ikr+t388Hzzpm0PO217UxrTgn4g1oQ9sfNLR3jSi1NZoboYukivFcmGxeWXB9bWVNy5gUrBpKIOD41J/W89DGKr54yXFD/u0br44pzeMX11fwr211fOuh1/jGg68dPpad7uPfz53Lx86bF9GWNwOZWpTNq/tHt646FOQVZY8+3WxacTaPbq4mEHBhpwPe+fxOJuZlvCFNcyiXnjiVRVML+M+/bODWe1/hR09Wcu6CMnxpxqOvVrO34RCfufDYiDaWH8yps0r4+4YD7G04NOKbqg9vqmLp9CLKNE5KlCnIG0Bepp8phVlU1rSO6fv8btUuntpSy1eWHz9giX0ZmfysdM6cO4GHNlbx+WXHDXsX9LnKOsqLshOyxP6c0jxOmFbIfev2DflBp7KmlTkRpmrCkbUYDSPcRiGUnjNWax5FJLbKi7PJSk/j9eqxHR+P5pzjy3/bxN/W7+c/L1qQkAFeX2fMmcj9t7yZmuYOXq9uJcOfxqLygjErGlNelM2jr1aPai1lQ3sXRTnpEWUaTS/JoasnQHVLB1MKh980vralk8c313Djm2eP6CblMaV53PNvb+LhjVXc9cJu7l27j4BzLCov5P+uOoEz5oS/Zn8kTvVuFr+4s35Enyn21LezaX8zn182+H66IqOlIG8Qc8vy2FY7doPYttpWvv7gZt4yv5T3nj5zzN4n1Vy8aApP/mUDm/Y3Dxk4d/UEeK6yjsuWlsewd9F12ZJyvvLAq2ytbhmwQmdHdy+VNa1RqdZVnDu6dM2qwzN5o99sVkTGD1+aMac0j61jfBP0aHc8u4PfPL+Lf3vLMXzkrclTfbqsICsmMzhTC7Po6glwsK0r7D1WQ+rbug5nc4xWaBnMroPtYQV5967dS0/A8c6K8Gbx+jIzLl48hYsXTzmcPjnWtQ6OnZRPQZafF3bUc8VJ4e9r+MimKgAuPH70G6CLDEYLwAYxpzSPbTWto8qvHk5Pb4BP/vFlstJ9fPuqE1RoJYrOXzgJX5rx8MaqIc9bs7Oetq5e3nps9MoVx9o7TpyKL83468sDF96rrGmlJ+BYOCXyWeLQ/kihtJ1w1TR3kJ/lj2tJcxGJrnlleVRWt8Ts/f5VWcc3H3qNi46fzK0Xa8ZjNEKFSEZTfKWhvSviIjszS4IZJeFuv/Hnl/ZSMbOYuWWRrZ0zs5h8xkpLM06ZVcILO+tH9HP/2FTNgsn5zJwQecaNyNEU5A1iTlkebV29o94Aeii/XbWL9Xub+OryRVqrFGUluRmcNruEv79yYMgA/cktNWT40jhjTmyKroyF0vxMzpw7kftf3k8g0P933bS/CYCFUyOvEHuk8MoI0zWbO1RZUyTJzJuUz/6mDlo6RretykjsqW/n5rvWcszEXL5z9Ym6KTpKR4K8kX+mOdjaNeqN0EOmFGXhSzN2Hxw+yKusaWVrTSuXRqm6aKycOruE7bVt1LaEt1VEbUsnL+6q1yyejBkFeYOY6xVfifa6vOrmDr77j9d5y/xS3h7DXe9TyRUnTWNHXRurdwx8Ry0QcDz4ShVnzp2QEFXZhnL50qnsbTg04O+6dlcjhdnpzIzCmsNMv4+cDN+I98qrau7UejyRJDOvbGzGx6N19wa45Q/r6Ak4VlxfQV6C/72Op0hn8iLZPgGC2ziUF2WHNZMXSmF828LECn5C6/JeGOSzx9Ee21yNc0rVlLGjIG8QCyYH1zhtPjC6alSD+coDr9LVG+Arl2o/vLFyyeIp5Gf5uWv17gGPv7S7gX2NhxLuLuFALjo++Lves2ZPv2Mv7qznlFnFUdvYtDgnY8SFV6qbOjRbLZJkQmuAx3pd3g8f38r6PY387xUnHN66QUanOCedrPS0EQd5zjka2qKzJ+KMkhx2hRnkLZlelHA3CBeVF5Kf6eeZrbVhnf/Ipiqml2Rz3JT+a+pFokFB3iCKczMoL8pm4yhLDg/kn6/X8vcNB7jlnLnM0oA1ZrIzfFx50jQe2niAutb+aRP3rdtHVnoaFyTYXcKBZGf4uGxJOQ++coCmPrNsNS0dbK9r45RZ0dseoignfUSFV3oDjtrWThVdEUkyM0pyyPSnsaVq7NblrdlZz4+erOTKk6ZxibJeImZmTC3KHvFeeW1dvXT1BijJHf32CSEzJ+Sws65tyKUU+xoPsWFvExctSrzxOd2XxlnzJ/LUltph6zk0d3Tzr8qDXLhwsm74y5hRkDeEReUFbNrXFJXX6uju5b/v38gxE3P5t7MTu/RzInjP6TPpCTh+8fT2N7Q3tndx39p9XLJ4atKk/lxzynQ6ewL8Ze3ew22PvloNwNnHlkbtfUY6k3ewtZPegNOaPJEk40szFk4t4JUojY9Ha+vs4RP3vEx5cTZfvnThmLxHKiovymbfCNfk1bd6G6FHuCYPYP6kfJoOdVMzxJq1fyR4tcm3zi+jqrmD14a5AfLE5hq6egNcmIDBrCQOBXlDWDS1kO11bVFZXP6Tp7ax62A7X71sUcQbU8vw5pblcfnScn79r53s65Oe8vOnt3Oou5cPnjU7jr2LrkXlhZw6q4Sf/XMbh7p6Afjb+v3MnpjLsQNsrTBaxbkZI5rJq9JG6CJJ64TyQjbtaxqw6FOkvvOPLextOMT3rl5CflbkM0gSNLUwe8TpmvXejb0JedEJ8oAhA6CHN1Zx7KT8hE3PDd1YfWrL0Cmb967bR3lRNifPKI5FtyRFKcgbQmiftc0HIktJ2V7bys+e2sbyJVM5c+7YbMQp/X3i/Pn40oxP3P0yh7p6WbOznjue2cEVS8s5bkrkFSfHk89cdCw1LZ38+MlKXtpVz6rt9VxdMT2qaSDFOekjmsnTRugiyWtReSFtXb1sr2uL6uuu293Ar/+1k/ecNjOq6eYSrHBZ29JJZ09v2D/T0Ba9mbxjvVoHrw8S5B1s7eTFnfVcePykiN8rXiYVZLFwSgGPb64e9Jzq5g6e3VrL5UvLo7ZmXmQgCvKGsHhaMMhbu7th1K/hnOO/7t9IZnoaX7jkuGh1TcIwvSSH/73yBNbsqufMbz3BtStWMaUoi/96e/Kl/5wyq4QrT5rGj56s5Po7XmBSQSY3nDEzqu9RlJNB06FuesO8c1/tpeRoJk8k+ZwwrQiAjVFM2ezuDfC5e19hUn4Wn73o2Ki9rgSFKmxWN4VX4h+O7I1aEoXCKyW5GZTmZw46k/foq9UEHAmfwrhs8WTW7GpgzyBFZu5/eR8BB5efVB7jnkmqUZA3hIl5mRxTmht2OdyBrFy/n+cqD/LZC4+lLF8fdmPt0hOn8tsbT+OMORN475tm8pePnBGVKmHj0TeuWMRH3zqHcxaU8bsbT4v6BuTFOek4B02HwkvZrG7qwJdmTMxT4RWRZDOnNJfsdB8v72mM2muueHo7r1W18NXLFilNcwyUe0HevhGkbIayN6I1bi6YnM+W6oEL2j20sYoZJTksTPBMm+VLgsHbX9ft63esN+D4wwt7OGlGEXNKI9voXWQ4yVF5YgydNnsCD2zYT2/A4RvhtHrToW6++sBmTpxWyLtOi+6sioTvzLkTUyJNNtPv47MXLRiz1w+l6zS0d4V1V7equYPSvMwR/7sRkfHP70vjpJlFEd0E7Wt7bSs/eHwryxZP5oKFiZuuN55NHUWQd7Cti3SfkR+lQmULJudz5/O76OzpfUN9gqb2bp6rrOPGs2YnfLXJ6SU5nDq7hHte2sNH3joHv+/IfMqjr1axo66NT7/rpDj2UFKFZvKGcdrsElo6eka1X953HtlCfVsnX798sT7oSsIrygneWW8Mc11edXMHk7QeTyRpnTprApurmsOe3R+Mc47P3fsKmf40vvyO46PUOznaFO/v8YGRzOS1dVGckxG1wOvkmcV09QT6pfk+trmanoDj4kXJsV3GB988mz31h/jry/sPt/UGHD98opIZJTkJuUWEJB4FecM47Zjgwu9nK+tG9HMv7Wrgd6t3ccMZsw4XcBFJZIdn8trCTNds7mBSvlI1RZLVqbNLcA5e2hXZbN6f1uxl9Y56Pr/sOMq0hnfMZKX7mJiXMaK98urbwsvcCFeFV0znhR1vrHWwcv1+youyOXFacnxeumDhJBZOKeC2R1+n2avQ/ut/7WTT/mY+9bb5uvEvMaEgbxhTCrM5fmrB4b1bwtHdG+Dz977C5IIsPvU2LR6X5NA3XTMcVU0dqqwpksSWzigiw5fGqu2jD/LqWjv5+oObOWVWMddUTI9i72QgU4uy2dswsjV50aisGTIxL5O5ZXk8W3lki4E99e08vbWWK0+elvCpmiFmxlcvO56q5g7e96sX+OZDm/nGg5s5/7gyLj1xary7JylCQV4YLjx+Mmt3N1LTHN4moiue3s6W6ha+unxR0my4LVKcG0rXHH4m71BXL80dPaqsKZLEstJ9nDK7mCdfqxn1a3z975tp7+rhG5cvVjn5GCgvGtleeQfbuiiJwh55fV14/CRWba8/XLnzjy/uwYBrTkmuIP/kmSV8/5olbK1u5ef/3M75x5Vx2zVLkiaQlfFPQV4YLjw+mDv94CsHhj13S1ULP3h8Kxcvmsz5WjwuSSQv048/zcKayQtthD5ZQZ5IUjtvwSS21rSy6+DI98t7Zmst963bx4fPnsM8b6NsGVtTi7LZ39iBc+FthdPQ1kVJFGfyAC5ZPJXegOPuF3dT19rJr/+1kwsWTjpc/TOZvOPEqbz0Xxfw8n9fwM/fW6GqsRJTCvLCMH9SHovLC/nd6t1D/mHs6O7lY39YR0FWOl+9bFEMeygy9syMopwMGsKYyav2gjzN5Ikkt/OOKwPgsc0jm83r6O7li3/dyOyJudx8ztyx6JoMYGpRNoe6e8PKyOgNOBoPdUd926GFUws4b0EZP31yG9ff8QKdPb185sKxqwwdbxn+NIqiHCiLhENBXhjMjPedMYvKmtZBC7A45/ifv73KluoWvvPOE7Q3mCSl4pz0sKprhoK8yYX6dyCSzGZOyOXYSfk8sGH/8Cf38Z1HtrDrYDtfv2wRWem+4X9AoqK8KHjjLZxtFA62deIclEY5XRPgy5cez6TCLHbXt/ODa5cyt0x7xolEW0RBnpm908w2mVnAzCqOOvY5M6s0sy1mdmGf9ou8tkozuzWS94+lt584hUkFmXz7kS0EAv1n8+54dgd/eGE3Hz57Dm89tiwOPRQZe8U5GeGlazZpJk8kVVx18jTW7W6ksqYlrPP/VVnHL5/dwXtPn8kZKbCH6XhSXpQDhBfk1bUE/9aXjkGV5OklOTz6ibew4UtvY9ni5Ng2QWS8iXQmbyNwBfB030YzWwhcCxwPXAT8xMx8ZuYDfgxcDCwErvPOHfcy/T4+v+w4Nuxt4vuPbz3c7pxjxdPb+NrfN7Ns8WQ+e6GqaUryKspJD2sLharmDnIyfFp/IJICLltajj/NuPuFPcOe23Som0//aT2zJ+byuWXJm6I3Xk31ZvLCKb5S29oJMGaZSWamYjsiYyii0o/Ouc3AQJWClgN3O+c6gR1mVgmc6h2rdM5t937ubu/cVyPpR6xceuJUnn69jtsf38qug22cNKOYB185wOod9VyyeArfvfpE/cGSpFack8HLexqHPa+6WdsniKSK0vxMLl48hbte2M1Hz5k76L5qgYDjU/esp7qlkz9/+E3kZKj6dKyV5GaQ6U8LK8iraxnbIE9ExtZYrckrB/re0tvrtQ3W3o+Z3WRma8xsTW1t7UCnxJyZ8a0rF3PzOXN4ZFMVX1q5iR11bXztskX88LqlWlcgSa8oN53G9u5hK7Ptb+xgamHyVUoTkYF9/Ly5HOru5SdPVg56zm2Pvc5jm6v54iXHsXRGcQx7JyFm5m2jMPyWUKGZvLFI1xSRsTdskGdmj5nZxgG+lo9lx5xzK5xzFc65itLS0rF8qxHx+9L4zIULWP+lt7H68+ex6nPn8Z7TZ2oGT1JCcU4GXb0B2rt6hzxPG6GLpNa69bll+VxTMZ1fPbeD1dsP9jv+oye28sMnKrmmYjrvO2NW7Dsoh5UXZ4e5Jq+T7HQfudrvVyQhDfsv1zl3/ihedx/Qd1fLaV4bQ7QnlEy/j0kFmrmT1BLaL6mhvWvQgb+nN0BNSwdTFeSJhNat/7xv41Hr1qcCj5nZfO/wj4ELCGa6vGhmK51zCbGk4YtvX8iq7Qf5t9+9xI+uO4kz507gQFMH//fwa/z15f1csbScb1yxWJtBx9nUwmyeqBp+y4va1k7N4okksLG6PbMSuMvMvkdwAJsHvAAYMM/MZhMM7q4F3jVGfRCRKCvKCRZSaWjrZtog2VY1LZ0EHExWuqakuFRbt56X6efOD5zKDb96gffcsZrC7HSaO7pJM+MT58/nlnPn4lPWS9xNLcqmtqWTzp5eMv2D36yua+1k4hhsnyAisRFRkGdmlwM/BEqBv5vZy865C51zm8zsHoIDUw9ws3Ou1/uZW4BHAB/wK+fcpoh+AxGJmdBd3drWDqBwwHMONAXTgKYUaSZPZBDlwKo+z/uuTz963fppA72Amd0E3AQwY8aMMeji6MyckMtDH38L967by6v7m5lUkMXlS8uZXpIT766JJ1Rhs6qpg5kTcgc9r66li5kT9N9NJFFFWl3zPuC+QY59Hfj6AO0PAg9G8r4iEh+hfe+qmzsHPeeAt0feFKVrSgows8eAyQMc+oJz7v6xel/n3ApgBUBFRcXQlZBiLDvDx7tPgXxhsQAAIABJREFUmxnvbsggyouDWRb7Gg8NGeTVtnZSMUsFckQSlVbTikjYQqW0a4YI8qoOB3lK15Tkp3XrkmjKi4J/m4eqsNnTG6ChvUvbJ4gksLHaQkFEklCGP40JuRlUtwz+4WB/Y3Aj9IIs3UMSGcRK4Fozy/TWqIfWrb+It27dzDIIrltfGcd+ShIKVT4eaq+86pZOnENVkkUSmD6FiciIlBVkUdM8eJBX1XyIKYVZqqAnKU/r1mU8yvT7KM3PZF/D4EFelbe2WkGeSOJSkCciI1KWn0lNy+DpmvsbO5SqKYLWrcv4VV6Uzf6mwYO8UCrnVP0tF0lYStcUkRGZVJBJ9VAzedoIXURkXJtWnM3u+vZBj4fWVutvuUjiUpAnIiNSlp9FbUsnvYH+Bf26erQRuojIeDdrQi77Gg7R3RsY8Pj+pkPkam21SEJTkCciIzKpIJOAg4Nt/VM29zUeIuBgxhBluUVEJL5mTsihJ+AGLb5yoLGDKUXZWlstksAU5InIiJTme3vlNfUP8kLpPzO08bGIyLg1a2LwRtzOgwOnbB5o7tBepyIJTkGeiIzI1CKv/PYAi/Z3H2wDgneJRURkfAr9jd7l/c0+2oHGQwryRBKcgjwRGZHQLN2eARbt7zrYTqY/jVJtoCsiMm6V5mWSk+FjR13/IK+7N0BtayeTVVlTJKEpyBORESnMTic/yz9gZbbd9e3MKMkhLU3rOERExiszY+aEXHYNkK55oLED52BakYI8kUSmIE9ERsTMmFGSM2SQJyIi49vsiTkDzuTtVNq9SFJQkCciIzZQkOecCwZ5+mAgIjLuzSvLZ9fBNg519b6hPbROL1ScRUQSk4I8ERmxGSU57K0/RKDPXnlVzR20d/UyWx8MRETGvQWT8wk42FrT8ob2nQfbyU73UZavtdUiiUxBnoiM2PSSHLp6A1S3dBxue726FYD5k/Lj1S0REQnTsZODf6tfqzoqyKtrY+aEHO2RJ5LgFOSJyIiF1t31XbS/tTr4QUFBnojI+DdzQi5Z6WlsOSrI21rTypzSvDj1SkSiRUGeiIzY3LLgB4DXq498ONhS1cLEvAxKcjPi1S0REQmTL82YPymf16qaD7e1dHSzu76dhVML4tgzEYkGBXkiMmJTCrMoyknn1f1HPhxs3N/McVP0wUBEJFEcN7mATfubD6+vDs3qHTdFGRkiiU5BnoiMmJlx/NTghwOA1s4etlQ1s3RGcZx7JiIi4aqYVUxjezeVtcE11aG/6bphJ5L4FOSJyKgcP7WQLVUtHOrqZf2eRgIOTppRFO9uiYhImE6bPQGA1TvqAVi1/SDlRdlMLsiKZ7dEJAoU5InIqJw5dyJdvQFWbT/I06/X4k8zzeSJiCSQ6SXZlBdl8/jmanoDjn9tO8iZcyeosqZIElCQJyKjctrsErLTffzj1Sr+tn4/b5lfSmF2ery7JSIiYTIzLl0ylWe21vHAhv00HermLfNL490tEYkCBXkiMipZ6T6WLZ7CH17Yw/6mDq48aVq8uyQiIiP0zpODf7s/fvfLTMzL5PzjJsW5RyISDf54d0BEEtetFy+g6VA3x5Tmsmzx5Hh3R0RERuiY0jy+efli/vTSHj5xwXyy0n3x7pKIRIGCPBEZtdL8TH55Q0W8uyEiIhG4+pTpXH3K9Hh3Q0SiKKJ0TTP7tpm9ZmYbzOw+Myvqc+xzZlZpZlvM7MI+7Rd5bZVmdmsk7y8iIiIiIiJvFOmavEeBRc65E4DXgc8BmNlC4FrgeOAi4Cdm5jMzH/Bj4GJgIXCdd66IiIiIiIhEQURBnnPuH865Hu/pKiBUeWE5cLdzrtM5twOoBE71viqdc9udc13A3d65IiIiIiIiEgXRrK75AeAh73E5sKfPsb1e22Dt/ZjZTWa2xszW1NbWRrGbIiIiY09LGkREJF6GDfLM7DEz2zjA1/I+53wB6AF+H62OOedWOOcqnHMVpaXas0VERBKOljSIiEhcDFtd0zl3/lDHzex9wNuB85xzzmveB/Qt0zTNa2OIdhERkaThnPtHn6ergKu8x4eXNAA7zCy0pAG8JQ0AZhZa0vBqjLosIiJJItLqmhcBnwUudc619zm0ErjWzDLNbDYwD3gBeBGYZ2azzSyD4J3MlZH0QUREJAFoSYOIiMRMpPvk/QjIBB41M4BVzrkPO+c2mdk9BO8+9gA3O+d6AczsFuARwAf8yjm3KcI+iIiIxIWZPQZMHuDQF5xz93vnjMmSBmAFQEVFhRvmdBERSTERBXnOublDHPs68PUB2h8EHozkfUVERMYDLWkQEZHxyI6MOeOXmdUCu6LwUhOBuii8TjLRNelP12Rgui796Zr0F41rMtM5l/AVt7wlDd8DznbO1fZpPx64i+A6vKnA4wSXNRjBAi3nEQzuXgTeNVzGS5TGSP2/PDBdl/50TfrTNRmYrkt/kV6TsMfHSNM1YyJag72ZrXHOVUTjtZKFrkl/uiYD03XpT9ekP12TN4jJkoZojJH67zYwXZf+dE360zUZmK5Lf7G8JgkR5ImIiCQaLWkQEZF4ieZm6CIiIiIiIhJnqRbkrYh3B8YhXZP+dE0GpuvSn65Jf7omiUn/3Qam69Kfrkl/uiYD03XpL2bXJCEKr4iIiIiIiEh4Um0mT0REREREJKkpyBMREREREUkiSRfkmdlFZrbFzCrN7NYBjmea2R+946vNbFbsexl7YVyXT5rZq2a2wcweN7OZ8ehnLA13Tfqcd6WZOTNL+jLA4VwTM7va+39lk5ndFes+xkMY/35mmNmTZrbO+ze0LB79jBUz+5WZ1ZjZxkGOm5nd7l2vDWZ2Uqz7KAPTGNmfxseBaYzsT2Nkfxof+xs3Y6RzLmm+CO4rtA04BsgA1gMLjzrno8DPvMfXAn+Md7/HyXU5B8jxHn8k2a9LONfEOy8feBpYBVTEu9/xviYEN2xeBxR7z8vi3e9xcl1WAB/xHi8Edsa732N8Td4CnARsHOT4MuAhgpt7nw6sjnef9aUxMoJrklLjY7jXxTtPY+Qbz0mpMVLj46DXZVyMkck2k3cqUOmc2+6c6wLuBpYfdc5y4E7v8Z+B88zbpTaJDXtdnHNPOufavaergGkx7mOshfP/CsBXgW8BHbHsXJyEc00+BPzYOdcA4JyriXEf4yGc6+KAAu9xIbA/hv2LOefc00D9EKcsB37jglYBRWY2JTa9kyFojOxP4+PANEb2pzGyP42PAxgvY2SyBXnlwJ4+z/d6bQOe45zrAZqACTHpXfyEc136upHgHYZkNuw18abPpzvn/h7LjsVROP+fzAfmm9lzZrbKzC6KWe/iJ5zr8mXgPWa2l+BG1v8em66NWyP9myOxoTGyP42PA9MY2Z/GyP40Po5OTMZIf7RfUBKbmb0HqADOjndf4snM0oDvAe+Lc1fGGz/BdJS3Eryb/bSZLXbONca1V/F3HfBr59x3zexNwG/NbJFzLhDvjolIdGh8PEJj5KA0Rvan8TFOkm0mbx8wvc/zaV7bgOeYmZ/g1PHBmPQufsK5LpjZ+cAXgEudc50x6lu8DHdN8oFFwFNmtpNgzvTKJF9YHs7/J3uBlc65bufcDuB1ggNaMgvnutwI3APgnHseyAImxqR341NYf3Mk5jRG9qfxcWAaI/vTGNmfxsfRickYmWxB3ovAPDObbWYZBBeNrzzqnJXADd7jq4AnnLcKMokNe13MbCnwc4IDWLLnkMMw18Q51+Scm+icm+Wcm0VwHcalzrk18eluTITz7+evBO9QYmYTCaambI9lJ+MgnOuyGzgPwMyOIziI1ca0l+PLSuB6r4LY6UCTc+5AvDslGiMHoPFxYBoj+9MY2Z/Gx9GJyRiZVOmazrkeM7sFeIRgxZ9fOec2mdlXgDXOuZXAHQSniisJLoq8Nn49jo0wr8u3gTzgT94a+93OuUvj1ukxFuY1SSlhXpNHgLeZ2atAL/AZ51wy3+UP97p8CviFmX2C4CLz9yXzB2Mz+wPBDzITvXUWXwLSAZxzPyO47mIZUAm0A++PT0+lL42R/Wl8HJjGyP40Rvan8XFg42WMtCS/ziIiIiIiIikl2dI1RUREREREUpqCPBERERERkSSiIE9ERERERCSJKMgTERERERFJIgryREREREREkoiCPBERERERkSSiIE9ERERERCSJKMgTERERERFJIgryREREREREkoiCPBERERERkSSiIE9ERERERCSJKMgTERERERFJIgryREREREREkoiCPBERERERkSSiIE9ERERERCSJKMgTERERERFJIgryREREREREkoiCPBERERERkSSiIE9ERERERCSJKMgTiQIz22lmXWY28aj2dWbmzGxWGK/xPjN7Nsr9utbMtphZk5nVmNmdZlYQzfcQEREZzHgdH496/ce9vvjH6j1EYk1Bnkj07ACuCz0xs8VATqzefJDB6TngTOdcIXAM4Ae+Fqs+iYiIMD7Hx9CxdwPpseqLSKwoyBOJnt8C1/d5fgPwm74nmFmhmf3GzGrNbJeZfdHM0szsOOBnwJvMrNXMGoc63zv2PjN7zsxuM7ODwJeP7pBzbo9zrq5PUy8wN6q/tYiIyNDG3fgYeg3gS8Bno/4bi8SZgjyR6FkFFJjZcWbmA64FfnfUOT8EQrNqZxMc9N7vnNsMfBh43jmX55wrGur8Pq93GrAdmAR8faBOmdmbzawJaAGuBL4f6S8qIiIyAuNyfAS+AfwUqIrs1xMZf5R7LBJdobuV/wQ2A/tCB/oMbEuccy1Ai5l9F3gvcMfRLxTm+fudcz/0HvcM1CHn3LNAoZmVAx8Cdkb6S4qIiIzQuBofzawCOBP4ODAtKr+hyDiiIE8kun4LPA3M5qhUFGAiwbz/XX3adgHlg7xWOOfvCbdjzrl9ZvYwcDdwUrg/JyIiEgXjZnz00jp/AnzcOddjZuH0XyShKF1TJIqcc7sILjBfBtx71OE6oBuY2adtBkfuZroRnj/QzwzHD8wZ4c+IiIhEZJyNjwVABfBHM6sCXvTa95rZWUP/JiKJQUGeSPTdCJzrnGvr2+ic6wXuAb5uZvlmNhP4JEfWJVQD08wsI8zzh2Vm7zazGd7jmQTXJTwe0W8nIiIyOuNlfGwCpgJLvK9lXvvJwOrR/nIi44mCPJEoc85tc86tGeTwvwNtBBeDPwvcBfzKO/YEsAmoMrO6MM4Px0LgX2bWRnA7hS0E1+WJiIjE1HgZH11QVegLqPUOVTvnukb4a4mMS+bcSLO9REREREREZLzSTJ6IiIiIiEgSUZAnIiIiIiKSRKIS5JnZTjN7xcxeNrM1XluJmT1qZlu978Veu5nZ7WZWaWYbzEyl3EVERERERKIkmjN55zjnljjnKrzntwKPO+fmEazmd6vXfjEwz/u6CfhpFPsgIiIiIiKS0sZyM/TlwFu9x3cCTwH/6bX/xgUrvqwysyIzm+KcOzDYC02cONHNmjVrDLsqIiLjxUsvvVTnnCuNdz8ShcZIEZHUMJLxMVpBngP+YWYO+LlzbgUwqU/gVgVM8h6XA3v6/Oxer+0NQZ6Z3URwpo8ZM2awZs1gFXdFRCSZmNmuePchkcyaNUtjpIhIChjJ+BitIO/Nzrl9ZlYGPGpmr/U96JxzXgAYNi9QXAFQUVGhfR5ERERERETCEJU1ec65fd73GuA+4FSg2symAHjfa7zT9wHT+/z4NK9NREREREREIhRxkGdmuWaWH3oMvA3YCKwEbvBOuwG433u8Erjeq7J5OtA01Ho8ERERERERCV800jUnAfeZWej17nLOPWxmLwL3mNmNwC7gau/8B4FlQCXQDrw/Cn0QERERERERohDkOee2AycO0H4QOG+AdgfcHOn7ioiIiIiISH/R3CdPRERERERE4kxBnoiIiIiISBJRkCciIiIiIpJEUiLI6+4N8PYfPsNdq3fHuysiIiLjyj1r9nDR95+mqycQ766IiEiUpESQ508zXjvQwt6G9nh3RUREUoyZ7TSzV8zsZTNb47WVmNmjZrbV+17stZuZ3W5mlWa2wcxOGuv+NR/q5rWqFg519471W4mISIykRJBnZuRm+mnr7Il3V0REJDWd45xb4pyr8J7fCjzunJsHPO49B7gYmOd93QT8dKw7lpXuA6BTQZ6ISNJIiSAPIC/TT2unBjARERkXlgN3eo/vBC7r0/4bF7QKKDKzKWPZkWwvyNNMnohI8kiZIC8306eZPBERiQcH/MPMXjKzm7y2Sc65A97jKmCS97gc2NPnZ/d6bW9gZjeZ2RozW1NbWxtR57IzFOSJiCSbiDdDTxS5mX7auhTkiYhIzL3ZObfPzMqAR83stb4HnXPOzNxIXtA5twJYAVBRUTGinz1aaCavo1uFV0REkkXKzOQF0zUV5ImISGw55/Z532uA+4BTgepQGqb3vcY7fR8wvc+PT/PaxkxmevCjwKEuzeSJiCSLlAnycjNUeEVERGLLzHLNLD/0GHgbsBFYCdzgnXYDcL/3eCVwvVdl83SgqU9a55g4MpOnIE9EJFmkTLpmXpaf1g4FeSIiElOTgPvMDIJj7l3OuYfN7EXgHjO7EdgFXO2d/yCwDKgE2oH3j3UHtSZPRCT5pE6Qp3RNERGJMefcduDEAdoPAucN0O6Am2PQtcOy/JrJExFJNqmTrpnpo62rl+D4KSIiIqCZPBGRZJRCQZ6f3oCjs0fVw0REREJCm6Gr8IqISPJImSAvLzOYmaqUTRERkSNChVd0E1REJHmkTJCXmxEM8lRhU0RE5Ih0n5FmmskTEUkmqRPkaSZPRESkHzMjO92nNXkiIkkkZYK8w+ma2kZBRETkDbIzFOSJiCST1Anysrx0zS4FeSIiIn1l+n3aQkFEJImkTpCXGVxY3tqpQUxERKSv7AwFeSIiySRlgrzQmjwVXhEREXmj7HSfCq+IiCQRBXkiIiIpLis9jY5ubaEgIpIsUifIy1B1TRERkYFkqbqmiEhSSZkgz5cWLBGtmTwREZE3yk7XmjwRkWQStSDPzHxmts7MHvCezzaz1WZWaWZ/NLMMrz3Te17pHZ8VrT4MJzfTr5k8ERGRo6jwiohIconmTN7Hgc19nn8LuM05NxdoAG702m8EGrz227zzYiIv06fqmiIiIkfJ8itdU0QkmUQlyDOzacAlwC+95wacC/zZO+VO4DLv8XLvOd7x87zzx1xell/pmiIiIkfJzlB1TRGRZBKtmbzvA58FQqW5JgCNzrlQRLUXKPcelwN7ALzjTd75b2BmN5nZGjNbU1tbG5VO5mYoXVNERORoWek+VdcUEUkiEQd5ZvZ2oMY591IU+nOYc26Fc67COVdRWloaldfMy9RMnoiIyNGy0tPo6g3QG3Dx7oqIiESBPwqvcSZwqZktA7KAAuAHQJGZ+b3ZumnAPu/8fcB0YK+Z+YFC4GAU+jGsXAV5IiIi/WSn+wDo6O49vK+siIgkrohn8pxzn3POTXPOzQKuBZ5wzr0beBK4yjvtBuB+7/FK7zne8SecczG5dRisrqk1ByIiIn1lZwSDPBVfERFJDmO5T95/Ap80s0qCa+7u8NrvACZ47Z8Ebh3DPrxBsLpmd6zeTkREJCFk9ZnJExGRxBfVnAzn3FPAU97j7cCpA5zTAbwzmu8brtxMPx3dAXp6A/h9KbMPvIiIyJAU5ImIJJeUinTyvHUGbSoTLSIiclhoTd6hLlXYFBFJBqkZ5Kn4ioiIyGGHgzzN5ImIJIWUCvJyFeSJiIj0k5Ue/DigdE0RkeSQUkFeaCZPG6KLiEgsmZnPzNaZ2QPe89lmttrMKs3sj2aW4bVnes8rveOzYtG/LM3kiYgklZQK8o7M5GkQExGRmPo4sLnP828Btznn5gINwI1e+41Ag9d+m3femAttoaCZPBGR5JBiQV5wENM2CiIiEitmNg24BPil99yAc4E/e6fcCVzmPV7uPcc7fp53/phSdU0RkeSSUkHekXRNDWIiIhIz3wc+C4RKV04AGp1zobUDe4Fy73E5sAfAO97knf8GZnaTma0xszW1tbURdzBUeKVd1adFRJJCSgV5KrwiIiKxZGZvB2qccy9F83WdcyuccxXOuYrS0tKIXy8nQ0GeiEgyiepm6OOdCq+IiEiMnQlcambLgCygAPgBUGRmfm+2bhqwzzt/HzAd2GtmfqAQODjWncz0p5FmcEhBnohIUkipmbxMfxr+NNNMnoiIxIRz7nPOuWnOuVnAtcATzrl3A08CV3mn3QDc7z1e6T3HO/6Ec86NdT/NjNwMP21dGh9FRJJBSgV5ZkZupl9BnoiIxNt/Ap80s0qCa+7u8NrvACZ47Z8Ebo1Vh3IyfZrJExFJEimVrgnBlE0VXhERkVhzzj0FPOU93g6cOsA5HcA7Y9oxT06GnzYFeSIiSSGlZvIguI2CtlAQERF5o5wMH+3KdBERSQopGOT5tRm6iIjIUXIyfKquKSKSJFIuyAuma+pOpYiISF85GX7aVXhFRCQppFyQl5uhwisiIiJH00yeiEjySL0gT9U1RURE+gnO5CnIExFJBikX5OVnKV1TRETkaLmZPqVriogkiZQL8nIzfbR19RKDvWVFREQSRnaGT1soiIgkiRQM8vz0Bhwd3YF4d0VERGTcyM3w09UToKdX46OISKJLuSAvLzO4/7tSNkVERI7IyfAB0N6t2TwRkUSXckFebkYwyFPxFRERkSNyvPGxXXvJiogkvNQL8jSTJyIi0k9upjeTp+IrIiIJL+WCvFC6pmbyREREjshODwV5mskTEUl0KRfkhe5UtulOpYiIyGGhTBcFeSIiiS/iIM/MsszsBTNbb2abzOx/vPbZZrbazCrN7I9mluG1Z3rPK73jsyLtw0jkZ4XSNTWIiYiIhGRn6CaoiEiyiMZMXidwrnPuRGAJcJGZnQ58C7jNOTcXaABu9M6/EWjw2m/zzouZw2vyOjSIiYiIhOSq8IqISNKIOMhzQa3e03TvywHnAn/22u8ELvMeL/ee4x0/z8ws0n6EK1dr8kRERPo5vIWCZvJERBJeVNbkmZnPzF4GaoBHgW1Ao3MuNFLsBcq9x+XAHgDveBMwYYDXvMnM1pjZmtra2mh0Ezhyp1LVNUVERI44EuRpJk9EJNFFJchzzvU655YA04BTgQVReM0VzrkK51xFaWlpxH0M8aUZ2ek+zeSJiIj0ocIrIiLJI6rVNZ1zjcCTwJuAIjPze4emAfu8x/uA6QDe8ULgYDT7MZzcTL8WlouIiPSR6U/DTOmaIiLJIBrVNUvNrMh7nA1cAGwmGOxd5Z12A3C/93il9xzv+BPOORdpP0YiP8tPiwqviIiIHGZm5Gb4NZMnIpIE/MOfMqwpwJ1m5iMYNN7jnHvAzF4F7jazrwHrgDu88+8AfmtmlUA9cG0U+jAiCvJERET6y8nwaSZPRCQJRBzkOec2AEsHaN9OcH3e0e0dwDsjfd9IBIO87nh2QUREZNzJyfDRpi0UREQSXlTX5CWK/Mx0zeSJiIgcJUfpmiIiSSElg7y8LL+2UBARETmK0jVFRJJDSgZ5WpMnIiKxYGZZZvaCma03s01m9j9e+2wzW21mlWb2RzPL8NozveeV3vFZsexvTqZm8kREkkGKBnnptHb20BuIaVFPERFJPZ3Auc65E4ElwEVmdjrwLeA259xcoAG40Tv/RqDBa7/NOy9m8jJ9ynQREUkCKRnkFWQF681orzwRERlLLqjVe5rufTngXODPXvudwGXe4+Xec7zj55mZxai75Gb4aVOQJyKS8FIyyMvLDAZ5StkUEZGxZmY+M3sZqAEeBbYBjc650CC0Fyj3HpcDewC8403AhAFe8yYzW2Nma2pra6PWV61ZFxFJDikZ5OVnpQNoGwURERlzzrle59wSYBrBrYUWROE1VzjnKpxzFaWlpRH3MSQ/MxjkOaflDCIiiSxFgzzN5ImISGw55xqBJ4E3AUVmFtqrdhqwz3u8D5gO4B0vBA7Gqo95WX6cQ8VXREQSXEoHea0K8kREZAyZWamZFXmPs4ELgM0Eg72rvNNuAO73Hq/0nuMdf8LFcFotLzOY6aKUTRGRxOYf/pTkEwrympWuKSIiY2sKcKeZ+QjeWL3HOfeAmb0K3G1mXwPWAXd4598B/NbMKoF64NpYdjavT6bLpIJYvrOIiERTigZ5oTV5ulMpIiJjxzm3AVg6QPt2guvzjm7vAN4Zg64NKC/TB2gmT0Qk0aV2uqYGMRERkcNC6ZraRkFEJLGlZJCXne7Dl2aqrikiItKHthgSEUkOKRnkmRl5mX4NYiIiIn0o00VEJDmkZJAHwYFMQZ6IiMgRoZm8VmW6iIgktBQO8tIV5ImIiPSRm6mZPBGRZJDCQZ5fa/JERET6yPCnkeFPo0VBnohIQkvdIE9r8kRERPrJz/SruqaISIJL3SAvy09Lp2byRERE+srL8tOqm6AiIgkthYO8dA1iIiIiR8nL9GtNnohIgkvhIC+Yrumci3dXRERExg1tMSQikvhSNsjLy/LTE3B0dAfi3RUREZFxQzN5IiKJL2WDvPysdACtyxMREekjL0tBnohIokvZIK8gK7gXkFJSREREjshTdU0RkYSXskFevoI8ERGRfvKytCZPRCTRpWyQl5fppWtqQ3QREZHD8jP9dPYE6OrRmnURkUQVcZBnZtPN7Ekze9XMNpnZx732EjN71My2et+LvXYzs9vNrNLMNpjZSZH2YTQ0kyciItJfXmZwfFTKpohI4orGTF4P8Cnn3ELgdOBmM1sI3Ao87pybBzzuPQe4GJjnfd0E/DQKfRixguzgTF7zIc3kiYiIhOR6QZ6Kr4iIJK6Igzzn3AHn3FrvcQuwGSgHlgN3eqfdCVzmPV4O/MYFrQKKzGxKpP0YqcJQkKd0TRERkcOU6SIikviiuibPzGYBS4HVwCTn3AHvUBUwyXtcDuzp82N7vbajX+smM1tjZmtqa2uj2U0AcjN8+NLZjs8TAAAgAElEQVSMJs3kiYiIHFaQpZugIiKJLmpBnpnlAX8B/sM519z3mHPOAW4kr+ecW+Gcq3DOVZSWlkarm4eZGYXZ6QryRERE+tByBhGRxBeVIM/M0gkGeL93zt3rNVeH0jC97zVe+z5gep8fn+a1xVxBlp+mQ0pHERERCTmynEHjo4hIoopGdU0D7gA2O+e+1+fQSuAG7/ENwP192q/3qmyeDjT1SeuMKc3kiQTdtXo3161YxcZ9TfHuiojEWShdU+OjiEjiisZM3pnAe4Fzzexl72sZ8L/ABWa2FTjfew7wILAdqAR+AXw0Cn0YlQIFeSLsbzzEF//6Cs9vP8h//mUDwexqEUlVeV7hFaVriogkLn+kL+CcexawQQ6fN8D5Drg50veNhsLsdPY2HIp3N0Ti6r51+wg4uOktx7Di6e1sqW5hweSCeHdLROLEl2bkZ/l1E1REJIFFtbpmoinMTtedSkl5j2yq4uSZxVz/ppkArNp2MM49EkkeZjbdzJ40s1fNbJOZfdxrLzGzR81sq/e92Gs3M7vdzCrNbIOZnRSPfhdkpau6pohIAkv5IK/pULfS0yRltXf1sGl/M286ZgLTinMoL8rmhZ318e6WSDLpAT7lnFsInA7cbGYLgVuBx51z84DHvecAFwPzvK+bgJ/Gvsu6CSoikuhSPsjrCTjau3rj3RWRuFi/p4negOPkmcUAVMwq5qVdDXHulUjycM4dcM6t9R63AJsJ7g27HLjTO+1O4DLv8XLgNy5oFVAUqlQdSwXZfppVfVpEJGGldJAX2gtI6w4kVW3Y2wjAkulFABw3pYDq5k79mxAZA2Y2C1gKrAYm9aksXQVM8h6XA3v6/Nher+3o17rJzNaY2Zra2tqo91XVpyVcTYe6qW/rinc3ROQoKR3kFSrIkxS3taaV0vxMinMzAJhXlgdAZU1rPLslknTMLI/gfrL/4Zxr7nvMK0g2onUDzrkVzrkK51xFaWlpFHsapDV5Eo79jYc45ztPcfo3H+flPY3x7o6I9KEgDwV5kroqa1qZW5p3+Pm8snyvvSVeXRJJOmaWTjDA+71z7l6vuTqUhul9r/Ha9wHT+/z4NK8tpjSTJ+H4/epd1Ld1EQg4bnv09Xh3R0T6UJCHgjxJTc45ttW2MrfsSJA3rTibrPQ0tlZrJk8kGszMgDuAzc657/U59P/Zu+/4tqtzf+Cfoz2s6b1jx86ys53ZBMJM2HuX0UIphfZ2c8tt6W3vLb+23LbQUqCFlkILNNBSVgkJBEgChITsxM7w3rY8JMuyZO3z+0OSYyeyrWVLsp7365WX46++sk4cW9/vc85znuctAHf6/34ngDdHHb/DX2VzNQDzqLTOaaOWi2FzeuDyeKf7pUmS4JzjjUOdOHdOJr5yTik+qe+j1V9CEggFeaCGryQ19VocsNjdmJ2pHDkmEDAU6hRoM9niODJCZpQvALgdwPmMscP+P5cC+AWAixhjdQAu9H8OAFsANAKoB/AsgPvjMGa6PpJJNfVZ0TEwjE2VOTinPBMeL6cWPIQkkKiboSczKrxCUllg312ZP0UzoFCvQJtxOB5DImTG4Zx/AoCN8/AFQc7nAB6Y0kGFQC333R4M2t1IT5PGeTQkEQX24C0r0mFWhgJysRC7G/pxcUVOnEdGCAFSfCVPJRWBMZqpJKmpoTcQ5KWNOV6gk6OdVvIISWlqGU2Ckokdah2AUiJEWVYapCIhKvLUqOk0x3tYhBC/lA7yBAIGlVREFzGSklr6bZCKBMhWj52lL9DJMWh30+8FISmM0jXJZGo6zajI10Ao8C1UL8hT40SXBV5vWIViCSFTJKWDPADQKKiCGElNHQPDKNDJ4asLcVqBTuF73EQpm4SkKtrOQCbiK9xlHZMJsiBXjSGHm/Z0E5IgKMijMtEkRbWbhpHvD+hGy9fKAfiCQEJIahpZyaNqiSQIo9UJ87ALs0e14JmXqwYAnOymFjyEJAIK8uRiDNrd8R4GIdOu3WRDgU5+1vFstQwA0GOxT/eQCCEJIrAnb3CYro/kbI19VgAYU525JN3395Z+a1zGRAgZi4I8WskjKcjqcMNkcwUN8jLSJGAM6Bl0xGFkhJBEIBMLIBEK6PpIgmr0F+4avZKnUYihU4jR3E/pmoQkAgryKMgjKSiQilkQJF1TJBQgXSmhlTxCUhhjDGq5GOZhZ7yHQhJQu2kYQgFDrkY25nhxupJW8ghJECkf5KllFOSR1BMoqhLYf3emLJWMVvIISXE6hRgmK10fydk6BoaRo5ZBJBx7G1mSoURzH63kEZIIKMiTi+F0e2F3eeI9FEKmTaAPXmGQdE0AyFJLYaCVPEJSmk4pgclGK3nkbJ0Dw8jTys46XpyuQKd5mO6pCEkAKR/kaRW+zeUDNpqtJKmjY8AOiVCAjDRp0MezaSWPkJSnU4gpyCNBdQ7YkRckE2RWuhKcn55IJITET8oHeXqFBADoQkZSimHQjiy1FAIBC/p4llqKviEHPNTUlpCUpVdKYKR0TXIGr5ejyzwcNMgrTvft86aUTULiL+WDPJ3SH+RZKcgjqcMwaB9plRBMlkoKLwf6h2g1j5BUpVNIMGBzgnOa7CGn9Q054PLwoEFevn8LQKeZ+qwSEm8pH+Tp/UGekVbySArpHrQjZ6Igz/+YgVI2CUlZOoUEbi+HxUG98shpgerM+UH25GUopRALGToHaE83IfGW8kFeYE8ereSRVNIz6ECWOvh+PMC3kgdQQ3RCUlkg02WAUjbJKIEALthKnkDAkK2WoZtW8giJu5QP8nQje/LoIkZSw5DDjSGHe8KVvEBBlv4hmvwgJFXp/JOglOlCRuv0r+TlaoJXZ87TyNFppglCQuIt5YM8sVAAlUwEI63kkRRhGPRdfCfak0dpzIQQ2rNOgukdckAqEkAtEwV9PFcrQxet5BESdzEJ8hhjzzHGehhj1aOO6Rlj7zPG6vwfdf7jjDH2O8ZYPWPsKGNsWSzGEA099QIiKcTgn2GdKF1TIRFCIhLQ5AchKYyqT5NgevzVmRkLXp05RyNDt9kOL1VnJiSuYrWS9zyATWcc+wGADzjn5QA+8H8OAJcAKPf/uRfA0zEaQ8S0Cgmla5KUEWhyPlG6JmMM6UoJpWsSksIC2xlosoeM1jvkQOY4PVYBX7qmy8PRTz83hMRVTII8zvkuAMYzDl8F4AX/318AcPWo43/lPnsAaBljubEYR6T0CjGlo5CU0W32VcycKF0ToBVuQlKdSiaCUMDofYCM0WtxIFM1fpCXq/FdWyhlk5D4mso9edmc8y7/37sBZPv/ng+gbdR57f5jYzDG7mWM7WeM7e/t7Z3CYfr2HdBMJUkVhkE7VFIRlNLg+ykC9ErJlM7Ecs7x+w/rcM1Tn+L1Q+1T9jqEkMgIBAxauZgyXcgYkwV5gaqb1EaBkPialsIr3NdJNazkbM75M5zzKs55VWZm5hSNzEevoBULkjoM/v0Uk9ErJTBap65P3kt7W/Gr92rRbhrGt185gvePG6bstQghkdEpJZTpQkY43V6YbC5kpo2fCZJDK3mEJISpDPIMgTRM/8ce//EOAIWjzivwH4sbnVICm9MDu8sTz2EQMi0Mg/aRi/BE9EoJjFO0J8/h9uB3H9RhVYkeHz94HublqPCTt2rgdHun5PUIIZHRKyjThZzW75/4m2glL10pgUQkQBe1USAkrqYyyHsLwJ3+v98J4M1Rx+/wV9lcDcA8Kq0zLgKbywcoJYWkAMOgA9mqyYO8dKUE1ima/Hj/uAE9FgfuP68MMrEQ/3nJPHQMDOOdY50xfy1CSOS0CjFdG8mIXsvkQR5jDLkaGQV5hMRZrFoo/B3AZwDmMsbaGWN3A/gFgIsYY3UALvR/DgBbADQCqAfwLID7YzGGaOiV/oavNFtJZjivl6PHYkd2SCt5vov4VKQyb6sxIF0pwbqyDADAhjmZmJ2pxIt7WmP+WoTE00xoMUT9MklAKEEe4Kve3E3pmoTEVayqa97COc/lnIs55wWc8z9zzvs55xdwzss55xdyzo3+cznn/AHO+WzO+ULO+f5YjCEaOuoFRFKE0eaEy8ORPckFGjg9+RHrNgpujxc7TvbgwvnZEAp8fZYYY7h2WQEOtJjQbrLF9PUIibPnkcQthgJ78nxb60mq6wk1yNPIYBicuj3dhJDJTUvhlUSnV1KQR1KDYdDfIy+OK3mnDBZYHG6smZ0+5vgVi/IAAO8cjWv2NiExlewthjLSpHB7OczDlLJJTq/kZaRJJjwvWy1D96CdJgcIiSMK8uBrhg6AKoiRGS8Q5GVN0iMPOD35Ees05oOtAwCAZUW6MceL0hVYXKjFlmMU5JEZL6oWQ8D0tRkK3MwHbu5JajNanVBJRZCKhBOel6WSwun20uQAIXFEQR4AnUIMxoC+KaokSJKby+PFs7sa8cDLB/Hm4Y6knpkMpM/khBDkpfuDvFinax5qMSEjTYJCvfysxy6cl4Uj7Wb0DdENJUkNkbQY8j9vWtoMBdLyeul3ksCX2aFTTryKB5zOFukepOIrhMQLBXkAREIBdAoJ3ViSs3DO8d1Xj+CRLSewu74P39x8GL/7oD7ew4pYt9kOxibfTwEAGrkYAhb7dM2DrSYsK9KBMXbWYxvmZgEAdtVO3coEIQkgaVoMZab5gzxaySPwreSFEuRl+ycSaV8eIfFDQZ5fRhoFeeRsbx/twltHOvG9i+fgwI8uwrVL8/H4B7XY33zmFpvk0GOxI10phVg4+a++QMCgU0jQH8N0zUG7C839Niwu1AZ9vCJPjYw0CT46RUEemdGSpsVQYEKIMl0SF+ccf/m0Cdc+9Sl+/2HdlGabmGxO6BXiSc/LGQnyaCWPkHihIM8vUyWlixgZw+Pl+NW2U5ifq8bXNpRBIGD436srkaWS4tFtp5IybbPbbEe2evJVvIBYN0SvMwwBAOZmq4I+LhAwnDMnEx/X9cLjTb7vLyFnSvYWQxq5GGIho5W8BPbUjgb89O3j6Bty4lfv1eLPnzRN2WuZrK6QVvICkwMG6pVHSNxQkOeXkSalixgZY1dtL1qNNjxw3uyRUv9KqQj3byjD501GfNbYH+cRhs8w6AhpP16AThHbHln1PRYAwJxxgjzAl7I5YHPhSPtAzF6XkHhJ9hZDjDFkpEkp0yVBNfQO4bH3a3H5olzs+N4GnD8vC49vr4N5ihrYG61O6BWTB3kysRA6hRgGCwV5hMQLBXl+dBEjZ3ppbysy0iS4eEHOmOM3rShERpoEL+xujs/AomAYtIdUWTNApxRjIIZBXq1hCDKxAAW6s4uuBKwrywBjwCd1fTF7XUJI5Oj6mLh+u70OMrEQP7myAgIBw3cvnoMhhxuv7G+N+WsNOz0YdnlCWskD/G0UzPRzQ0i8UJDnl5Emhc3pgc3pjvdQSAIYsDnx0akeXLe8ABLR2F8TmViI65YV4IMTPehJollKh9uDfqsz7JU8UwxnhOt6hlCWlQaB4OyiKwF6pQSVeRp8XEf78ghJBBlpEsp0SUDdZju2HOvyTzz60iMr8jRYVKDBv6eg32igCJc+jCAvma6RhMw0FOT5jWwut9C+PAJ8eLIHHi/HpZXB+xDftKIQbi/Hvw7GtfBdWHoC7RM0oe/J0yokGLA5Y7b/sN5gQXnW+KmaAevLM3CwdQAWO/VYIiTefHvWKchLNC/vbYGHc9y5ZtaY45ctzMXRdjPaTbaYvl6gZ6ouhHRNAMhWS9Gd5HvyLHYXthzrwoEWY1LuwyepjYI8v5GGr0PJ/YZEYuO9GgNy1DIszNcEfbw0Mw1LCrX499HOaR5Z5AJVzrLDWskTw+XhsDo9Ub++1eFGp9mOsqy0Sc9dX54Jj5djT2NyVjElZCbxpWs64aViSAmDc463j3Zh7ex0FKUrxjx23jxfK5rd9bHdNx7uSl6OWoa+IQfcHm9MxzFdGnqHsPGxXbj/pYO47unP8MM3qinQI0mFgjy/jJFeQLSSl+qcbi921vbiwgVZE6YVXrYwF9Udg2jtj+1s6VQJNKUNNKkNRWDG1hSDNgot/u9TSYZy0nOXFWshFwspZZOQBJCpksLj5RgYppX1RFFrGEJTnxWXBMk2Kc9KQ0aaBJ82xHZfc2AlT6+cvIUCAGSpZfDy5Gy/YXd58JUX9sPh9uKFL6/E3etK8PLeVvz987Z4D42QkFGQ53e6FxClpKS6mk4zhl0efGF2xoTnXbLQV5DlnWNxbWMVskDaTDh78rT+fkgDMdiX12r0BXlFesUkZwJSkRCrS/X4mIqvEBJ3gUlQuj4mjneru8AYcHFF9lmPMcawqjQdnzfFNhPCFGa6ZjL3yvvTx41o7LPi8ZuX4Nw5mfjhpfOxulSP/9t2EkMOqt1AkgMFeX56pQSMgTaXE+xvNgEAls/STXhegU6BxYVabEmSIM8waIdUJIBGHtosLICRKmqmGFTYbPMHeYUhBHmAL2Wzqc868jxCSHwEJkHp+pg4tlZ3o6pYhyxV8Em7JQVadJntMQ3MjTYXGEPI15DA1oDuJAvyBmxOPPlRAzZV5GB9eSYAXw/XH1wyHyabC5s/j33lUkKmAgV5fmKhADqFhGYqE9B058DvbzGiOF0x7sVztMsW5uBYhzkpUja7Bx3I0cjA2PgpqGfS+VfyYhHktRit0CrEId8grC/3raR+Uk+reYTEEwV5iaWpz4qT3RZsGqcwGAAsLPDtJz/WYY7Z65qsTmjkYoiEod06ZvuLfPUkWZD30t5WDLs8+NZF5WOOLynUYlmRFq/sa6O9eSQpUJA3SkYaBXmJotfiwI/frMby/30f5T98F9c9vRu7Y7y/IBjOOQ60mLC8eOJVvIDAfohtNd1TOayYMJjtYRVdAU6n5cQmXXM4pFTNgLKsNOSoZbQvj5A4S9YVmZlqa7XverOpMmfccyry1ACAY+2xC/KMttAaoQekK6UQClhS/dy4PF48v7sZ58zJxLwc9VmP31hViLqeIRxqG4jD6AgJDwV5owQqiJH42tPYj4sf24nNn7dhbVkG7l5fgh6LHbf9aS9e2Te1aRIt/Tb0DTlRVawP6fxCvQIVeWpsTYIgr3vQHtZ+POB0Wo4xBoVXWvutIadqAr59JevKM/BpfT88VNWPkLhJk4qgkonQNTAc76EQAFuru7CoQIN8rXzcc1QyMUozlTFfyQu1EToACAUMWSopDIPJM3n+SV0fei0OfHFVUdDHL1+cB6lIgLcOJ09lbZK6KMgbJVMlpcadcfbBCQPueO5z6JUSbPnmOjxxy1I8dMl8bPvWOVhfnon/er0a+5qnrqx+4GtXTbIfb7RNFTk40GJK6JQUzrkvyAujsiYAiIQCqGUiDESZrunxcrSbhlEcRpAH+FI2zcOumN6oEELCl6uRoSvJe57NBB0DwzjSbp5wFS9gYb4GNTF87zRanSEXXQnIUsuSqvDKG4c7oFWIsWFuVtDH06QirC/PwPYTBkrZJAmPgrxRcjQyGMwO+sWNkyNtA3jg5YOYl6PCP+9bi7JRTbMVEhF+f+tSFOjk+Nbmw7C7ou/bFsyBFhPUMhHKMifv5RYQuNhuO26YkjHFgnnYBafbG3a6JuArvmKKMl3TMGiH28tRoAsvyFtX5tuX93EtpWwSEk85GnlSpd3NVNv8qZrBWiecaU62Cp1me8yqQZpszpDbJwRkq6RJE+RZHW68V2PApQtzIRGNf3t84fxstJuGcbLbMo2jIyR8FOSNkquWwenxxiQ1jYSn3WTD3S/sR0aaFM/dtSJoSohaJsYvrl2EjoFhPLOrcUrGsb/FhKpZ+gn7452pLCsNpZnKkYtvIhrpkRdBkKdVSKIuvBJ4/dwwVxLT06SoyFPjYyq+Qkhc5appJS8RbK3uxrwcVUj9Rmf7Jysbeoaifl3OOUxWV1jpmoB/8jxJ0jXfO96NYZcHVy/Jn/C8C+ZngzFf5hEhiYyCvFFyNL78drqQTa9Buwt3P78fDrcHf7lrxUhPpmDWzE7Hxops/HFnA8wxKAYymsnqRH3PUMhFVwIYY9hYkYPPGvujTmucKiM98jTjf2/Ho1OIoy68YvC/fpY6/NdfX56Jgy0m6k1ESBzlamXoG3LA6fbGeygpq9fiwL4WIzZWTJ6qCfgmIAGgPgZBntXpgdPjDavwCuAr2mMedk1Z9k0svXGoE/laOaomuQfIVEmxIFeNT+v7p2VcLf1W/OiNY7jhD7vxzc2HsLdxel6XJD8K8kYJrDJQkDd93B4vvv7yITT0DuHp25ajPFs16XP+44JyWJ0evLi3JaZjOdDi64832Rt8MJsqcuDxcmw/0RPTMcVKIF0monTNGK7kRbKSeE55Btxejj0NdGEjJF5yNTJwnpyNrWeK9453g3PgkoWhBXnF6QqIBAz1vdEHeSON0MNcyctOkobofUMOfFLfh6uW5IWUybOmNB0HWk1THrx+dKoHmx7/GP880A4Gho/r+nDTM3vw4D+PJEXgTOKLgrxRAkFet5kqiE0Hzjl+/FYNdtX24mdXV2Kdvy/aZCryNDhnTib+8mkzXJ7YzSrvbzFBLGRYXKgN+7mLCjTI1chGSlsnmm6zL10mlN5/Z9LGYiVv0AGJUAB9mDcIgK8pvUwsoFYKhMRRINOF9uXFz9bqbpRkKDE3hMlQwNf/d1aGMiYreYFtLOGv5PmyN7oTfPL830c64fFyXL104lTNgLVl6XC6vTjYapqyMZ3oGsQDLx1EaaYSO753Hl69bw12/+B8PHDebLy6vx1f+et+CvTIhCjIGyUjTQqRgNFK3jT5w85GvLy3FfedOxs3rwxerng8d64pRt+QAx/EcOXsQIsRFXkayMTCsJ8bSNncVdcLawKmFXYP2pGRJplwM/l4dAoJhhzuqNK0DIN2ZKmlYTViD5CKhFhfnomtNd3USoGQOKFMl/gasDnxWUM/NlXmhPU+Wp6VFpM9eUZbZCt5gewNgyWx9+W9frgT83PVmBNiAL1ilh5CAcNnU5Rh4vJ48a3Nh5EmFeEvd60YqYwtEwvx/Y3z8Oj1i/BJfR8eeOkgXRfJuETxHkAiEQgYstWyhJ9xmojXy9E75EDnwDC6zXZYHG44XB4M+2d7xEIBxEIBZGIh9EoxdAoJ0pVSZKqkkEvCD24i9dqBdvxy60lcsTgPD26cG/bzz52TiSyVFK/saw2plPRkHG4PjrSbceea4oi/xqbKHDy/uxk7TvXiskWTVz6bTl3m4bDbJwQELuoDw86IVgIB3yxuJKmiAVcszsP7xw34vMmINbPTI/46hJDI5FCmS1xtre6G28txaQhVNUcryVDi/eMGuD1eiISRz+sH0jXDzcbICgR5CXxf1dRnxZG2ATx0ybyQn6OSibGoQINP6/vw3YvDv4eZzN8+a8EpgwV/vH35yPdwtBurCuFwefDwmzV4dOtJPHTp/JiPgSS/uAV5jLFNAH4LQAjgT5zzX8RrLKMlWy+gYacHnzX2YVdtH6o7zDjeNQibM7Ll+2y1FMXpSsxKV2BOtgoL8zWoyNcgTRrbH5NX97fhP187irWz0/GrGxaFVckyQCQU4PrlBfjDzgZ0mYeRqxm/KWwoqjvMcLq9WB5iE/RgVszSI10pwZbqroQL8jpMwyjNnLwaWzA6ha9ktsnqijjIMwzaMT9XHdFzAeDC+VmQi4V4+2jnlAZ5Lo8XA7bTRQIC3VSEQgaRgEEoGP1RMPJ5JD/DhCQTlVQEpUSIzoHkuT7OJP8+2oVZ6QpU5of3PlqkV8Dt5egy21EYZp/S0SJN11TLRJCLhQm9J+/Nwx1gDLhySV5Yz1tdmo5ndzXC7vJElAE0HrvLgyc/qscXytJx8YLscc+7fc0s1BqG8MddjZiTrcJ1ywtiNgYyM8QlyGOMCQE8CeAiAO0A9jHG3uKcH4/HeEbL0chQ0zkY72FMyOvl+KS+D3//vBUfnuyBw+2FXCxEZb4aN1YVYnZWGvI0MmSrZdDIxZBLhJCJhWDw3cQ6PV7YnV4YbU4YrQ4YrS50DQyjxWhDS78VH57sxav72wEAjPnSPdbOzsAXyjKwqlQPtSy8Pjmjx/37j+rxm/drsb48A8/cXgWpKPI3xhuqCvHUjga8faQT954zO+KvAwD7m3159eFW1hxNKGC4bFEuNu9rg9nmgkYR2fcp1jjn6BgYxvryzIieH2h+G03xFcOgfdzmsqFQSES4aEE23j3WhZ9cURFR2umZjFYndtX24rOGfpwyWNDYO4RBe2SptowBIn/gJxKwM4JCwZjgUChgEAkZhIFzBQxCxiAQAALGwBiDgAEMYz8X+M9hYGCBz9npc3zHzn5O4FypyLeCLxMLIRef/rvvjwBysRBKqQgKiRBpUhEUUhEUYiEFsASALyU9VytP6kyXZNVrcWB3Qx8eOK8s7JT3In9g12a0RRXkmWxOCAUMKll4t42MMWSrpQm7l5NzjjcOdWB1SXrYk8XLi3R42stxtN2MlSWRTxCf6bWD7ei3OvH188on/f/+8RULUN8zhIdeP4bSTCWWFkV+D0Nmnnit5K0EUM85bwQAxthmAFcBiHuQl6uRYfsJAzjnEe0fmkpeL8e/j3Xh8e21aOy1Qq+U4JaVRbhgfhZWlujDDpiK0sd/w++1OHCsYwBH28042DqAV/a14fndzRAKGBYVaLCuzBf0LS3ShvS6TX2+EsCf1vfjmqX5+Pm1C6Oe+SrJUKIyX413jnVHH+S1mDArXYFMVfgl/ke7saoQf/2sBW8c7sCda2dF/HU456jrGUK32Y7y7LSoVipNNhdsTg/ydZF9Da0/WI20PYTF7oLV6YmofcNo1y0vwFtHOvFudReumqSP0Xg459hR24u/7m7GjtpecO77983PUeOqJfnISJNCpxSPTIoE3gO8Xg63l8Pj9fo/8tMfPRzu0cc945wXeL7nzONeuL1ecA/g5Rxe7hunlwMcHF6v7zjngcc5ODDmc6/X9xyOs7+G73EOh5+yZjoAACAASURBVNsLRwT7KhUSX/CnHPkoglIqhEIqQppEBIXUHxRKREiTCvGFsgyU+vtzkZklTytH+4At3sNIOe9Wd8HLfWnr4Qpc51uNNqyNYgxGqws6hTiiSZ9stQw9Cdor70CLCc39NjxwXlnYz13mnxTe32KMWZDn8XI8u6sRiws0WF06+dcUCwV46rZluPLJT/DVvx3A299YF9XWCDKzxCvIywfQNurzdgCrRp/AGLsXwL0AUFQUXlGOaORo5LC7vDAPu6ANMy1hKlV3mPHQv47hWIcZc7LT8Nubl2BTZU5UK2ETyVRJcf68bJw/z5cq4HB7cKh1AJ/W9+Hjuj48+VE9nviwHnKxECtL9FhXloHKfA1KM5XQKSQQMKDH4sDhtgG8c7QLW2u6oRAL8cg1lbh1ZVHMAujLFubhl1tPRjVLyTnHgRYTzotipSmgMl+Dynw1Nu9rwx1riiP6d26t7sKjW0+hsc86cuzapfn4n6srI0qd7TD59tAURBjknV7Ji6zCZjTtG0ZbX5aBkgwlnt/dHFGQt7/ZiJ+/exIHWkzIVEnxwIYyXLQgGwvzNSmzWhUI9uz+fbp2lwd2l3fk7zanB1aHG1an2/fRMfrz03/vG3LC2m87fdzpHkltffymJRTkzVBFejmOtA3Eexgp563DnZibrQq5KMhouRo5RAKGFmN0wbnJ6hy5FoQrWy3DkfbE/Ll57WA7FBIhLl0Y/hYLvVKC0kwlDrbErsLm7oY+NPfb8LtbloZ8/6BTSvDsHVW49qnduPdvB/DKvatjmj5KklfCFl7hnD8D4BkAqKqqmrbSQYEKYp0D9oQI8tweLx7bXos/7GyEXinB4zctwRWL8yCc5ptSqUiI1aXpWF2aju9ePBeDdhf2NPTj0/o+fNrQj0e2nBj3uWqZCHevK8E960qCbiCOxmULc/HLrSfxbnVXxKt5jX1WGK1OrJgVmzSHm1YU4eE3qrG/xYQVs0Kf3fN4OR7ddhJ/3NmIeTkq/PK6hZiVrsRHp3rxzK4GtBhteOmeVWG/eXf4Z97ztdEGeZGt5AXaN0Qb5AkEDHeuKcZP3j6Ozxr6Q96bZ3W48fN3T+DFPa3IUknx82sX4vrlBRBHUYQgWQkEDHKJEHKJELFM6uGcY9jlgdXhgVJKNxczVZFeAfOwK6HS0We6OoMF+1tM+EEYRUFGEwoYCnRytEYZ5BltzrArawbkaGTYVmNPuAwpu8uDfx/pwqbKHCgjrD2wvEgX0+yvfx5oh0YuxsaK8ffiBTMvR43f3LgE9714AP/1+jH8+obFCfW9JvERryCvA0DhqM8L/MfiLnAj3DEwjAV5kReKiIW+IQe+/vJB7Gk04vrlBXj4sgUJc2FVy8S4uCIHF1f4Klv2DNpxymBBU58VFrsbbg9HhkqCeTkqLCrQTtkNdVG6AgvzNXjnaORB3gH/fryqGAV51y8rwGPv1+LpHQ1YcVdoQd6g3YVv/v0QPjrViy+uLsJ/X1Ex8j1bVZqORQUa3P/SQfzi3ZP4yZUVYY2nPcqVPLlECKlIEHGvvGgaoZ/p5pVF+OOuRvxi60m8cf/aSS9i+5uN+O4/jqDVaMM960rwnYvnQCFJ2LmtpMUYg0Iiou/tDBfY39VqtGGhQhPn0YRu2OnB4bYB1BosqOuxoGvAjr4hB/qtTthdvnRplz+VWSoWQiIUQCoWQCoSQCkVQSsXQ6uQQCMXQ6sQIyNNikK9AoU6OQp0ipjsER7PS3tbIREKcEMURTWK0pVoi8FK3uwIV+izVFI43F4MDrsT5h4GALbVdMPicOP6ZZF/b6tm6fCPA+1o7LNG/P0JGLS7sLW6GzdWFUaUpbWpMgffurAcj2+vQ75WPiVVP0lyidcVeR+AcsZYCXzB3c0Abo3TWMYYfRGLp/qeIdzx573otzrx6xsWJ3zVpCy1DFlqWcTFPaJx2aJc/OLdyFM297cYoVWIUZoRmxQzuUSIL62dhV+/X4uDrSYsm2QjdGPvEL7y1/1o6bfhZ1dX4ourz27jcOnCXNy1dhae392MyxfloiqMFcJ20zCUEiE08sgvrjqFZKSEdrhila4J+HoEfeeiOfj+P4/ir5+1jLvv0e7y4LHttXhmVyPytXJs/spqrCql1gskOSRq9ekiva9Cb6vRhoUFiR3k9VjseOtwJz440YMDLSY4Pb4gTiUToVCnQHqaBKWZaZCJhRAL2cikmtPthcPt8e1hdXlH0pPre4cwYHPBckZxJrGQYV6OGosLNVhXlon15RkRrwqdadjpwWsH23HJwhykp0W+pzkWabamKFfyAN+EXyIFeS/uaUGhXo7VUVwbAsXaDrSYog7ythztgsPtjep+7z/OL0fXgB1PfFgPoYDhmxdMXrwlUg63ByarC+ZhFxxuD5xur+/3x/+7JhgpIub/GCgIJvB9BEYVFfMXCWOjPhf4P2ejPhf4/y2BrzG6uNjp5/gKmk30eKqIS5DHOXczxr4OYBt8F7HnOOc18RjLmbQKMVRSUdSzXtGo7jDjjuc+h4ABr31tLSrzE/tiGm+XVObgF++exLaabtyzvjTs5+9vMWF5kS6m+7K+tK4EL+5twX+/WYM3HvjCuOm1u2p78fWXD0IkFODFe1ZNeLF5cNNcvHPMt1/vla+uDvmNqt00jHydPKo3Np1SEtWePLVMFLM+jNcvL8CWY114ZMsJX+XXsowxjx9qNeHBfx5FXc8Qbl5RiB9dviDmbUAImSqJXH26UO/LBoj3JOhEjrWb8fuP6rD9RA88Xo75uWrc9YVZWFOajvm5amSrpVG9F7o9XvQOOdBmHEab0Ya6niEcbR/AG4c68eKeVkhEAly0IBu3rSrCmtL0qF7rlX2tsNjdQSf+whFtmq3Xy2GyuaBXRhagBSb4DIN2zM0Jf19hgM3pxo5TvRiwuVCenRbVdftw2wD2NZvw8OULorr2l2akQasQ40CzCTdWFU7+hAm8c8zXJmNxFBMoAgHDz69dCA/neHx7HToHhvG/V1dGXL/B7fHiZLcFR9vNaOobQlOfFY19VvQMOjDkiKwadSIQMF8qcyDwDPSPPl2FWgCpaOxHmVgIpb/YmFIythK1UiKEIlCUbPRHiTCq/pTRitudD+d8C4At8Xr98TDGUKhXxO0iVtNpxi3P7oFaJsaL96xCSUZkvc1SSXG6EvNz1dhaHX6Q1z/kQGOvFdfHeKU0TSrCjy5bgG/8/RAe3XYSD10ytlGp18vx9M4G/Pq9U5iTrcKzd1RNugqpkIjwjfPL8OM3a7C7oR9fOCO4GU9LvzXqnyOdQhxxdc1usz3iRuzBMMbwqxsW49Zn9+Ku5/fhnnUlWF+eib4hB9483IntJwzIUcvw/JdWRNW2gZA4Sdjq0yqZGHqlJCGDvDajDT99+zi2nzBALRPhK+tLcf3yApRlxbYIkEgoQK5GjlyNfExFRZfHi33NRrxXY8DrhzrwztEuVOSp8b2L52LD3Mywgz27y4OndzZgZYk+rL3dwYy0UTDZoIkgzdZid8Pj5REXXgmk6kfTRmF3fR/+Y/Mh9A2dvg7NzlTip1dWYl15aNfC0f78SRNUUhFurIru2i8QMCwr0uFAa3TFV8w2Fz5r6Mfd60uiXmkSCBgevW4R8jQy/O7DehxoMeF/rqrE2tmTTzqYrE4cajPhQIvvz5E2M4b9fWMlIgFK0pWYk6XCOeWZSFdKoE+TQCuXQCoSQOL/IxYKIGAYWyl61EfPqGrRvkrRp6tIezkAjKoM7X8OH/W5l3OAY+zXGfWYx3v2+WOqTXPfPdjox0dW8F1e2N2+gmQO/8cBmwsOtxfDTg9sTjesTt+qZagCad8KiRC5Ghn+cV80dW7DQ9PbQRTpFajvHZr2123pt+LO5/ZBJRXh1fvWRFwoIxVtqsjB4x/UomfQHlZxl33+/XjRXkSDuWJxHvY09uOPOxvBOfDtC+dAJhbgUNsAfvnuSextMuLyRbn45XWLQk7vuWlFIX67vQ7P724OKcjzeDla+m04f350wY5OIcGJ7sj6RxoG7TEv6ZyeJsXme1fjx2/V4KkdDXhqRwMAXzD67Qvn4MvrZkEVYT9HQuJs0urTQPwqUBfqFXHNdDmT18vx7MeNeGx7LYSM4XsXz8Gda6f/918sFGDt7AysnZ2BH1wyD28d7sQTH9XhS8/vw4pZOvzwsgVYUqgN+ev9+ZMmGAYdeOzGJVGPrXDUNpRIMoOM/gk+fYTpmoHWRD0RBnmHWk340vP7UKRX4He3LMWsdCX2NvXjt9vr8MU/78Vda2fhvy6dH/LeyFqDBe8c7cQ960tj8nOyvFiHD0/2YMDmjLhg34enDHB7OTb56xxESyBg+M7Fc7GsWIcfvl6N2/60F5X5amxckIPKAg0ylFJ4OEefxYEWow3HOwdxqNU0UtVbKGCoyFPjphWFWFqkxdJCHQp08pSpRD0Zl8c7Uo3aNqrKtC3wMVCp2hEIDH2PScXTu6pHQV4QRekKfHSqB14vn7YfaKPVidv//Dk8Xi/+eu9aCvDCdMnCHDy2vRbbjhtwexipLZ83GSEVCbBoivaX/OTKCjAGPLOrEX/9rBkSoQCDdje0CjF+ce1C3LSiMKxZO6lIiJtWFOIPOxvQMTA86c9J58AwnB4vSqNcydMqxBEXXjEMOiIq/T0ZnVKCJ25Zih9dNh+1Bgs0cjEW5KrjmhpByHSJVwXqYr0Ch9piVzI+GkarE99+5TB21vbi4gXZ+OlVFVH1FI0VmViIG1cU4uql+Xh1fxse316Hq5/8FFcvycODm+Yhb5L37ZZ+K574sA6bKnLOSkePROA60TkwHNHzjf792JHuyZOJhdAqxBGt5A07PfjOq0eQkSbFK19dMxJoXrO0AJdU5uLRrafw3KdNONo+gKduWz5p1gjnHL949ySUEhHuOze6/roBgX15B1tNI22nwrW1uhvZaikWF4Q+ERCKDXOz8MF3z8VrB9ux+fM2/Pr92qDn6ZUSLCvS4fqqAiwr0mFxgTZmWyxmIrFQAI1cEFWtg+lAQV4QhXoFHG4veiyOmKaZjcft8eLrLx9E96Adr9y7OubpJamgPCsNpZlKbK3uCivI29vUj2VFuinrNygWCvCzqxfiikV5eO+4AU63FxV5aly6KBfqCGcQb11VhD/sbMBLe1rw4KaJy2oHZuVKoiwqo1NIMGBzhj3x4fFy9A45prQ5a7ZaRs1fyUySsNWnAV+myzvHuuDyeOPahqS+x4I7n9uHXosj5v1XY0UiEuCLq4tx9dJ8PL2jHs9+3IR3q7tx7zmluO/c2UEzOIYcbnz1bwcgFQnx4ysWxGQcGrkYCokQnQORraQFim7po2grlaOWwRBBQ/Q/7GxAU58VL39l1VkriTKx73u0rFiLB/95FJf97mM8fvOSCQvAvXm4Ex+e7MF/XTov4pXJMy0u0EIoYDjQElmQN+z0YGdtL26sKpyShQWZWIjbVhXjtlXFMFqdaOobgtHqglAAaBUSFOsV0CslCff7Q6JHQV4Qgfz1ln7rtAR5j247hd0N/fi/6xdh6SSVGElwjDFsqsjBH3c1+pq2hvDmPWh34XjXIP7j/PIpH9+q0vSYVXcs0CmwYW4W/nWwA9+9eO6EPROb/GnH0e7J0yrE8HLf3oxwNu73DTng8XJkT8PvESEzRMJWnwZ8mS4eL0eHaRiz4rRn/HDbAL70l88hFAjwj/vWYHEYaZDxkCYV4fsb5+GWlUX45dZTeOLDeryyrw3f2zgX1y0rGHkPb+qz4ht/P4i6niE8/6UVk674hYoxhjytPPKVvCjTNQFfBW5DmCt55mEXnvu0ybeiOXv8Fc3LF+VhXo4K9790EHc89zm+fl4ZvnF++Vnpm8fazXj4jWpUFetw97rwi7SNRy4RojJPjX1Nka1w76zthd3ljVmq5kT0Sgn0ythvTyGJifKaggiktjX5V0Gm0pZjXXhmVyNuX12MG6KszJTqLqnMhcfL8f4JQ0jn7282gnNgVWnyveFdszQf3YN27G3qn/C8xj4rVFIRMtKim7GMtCF6tzl2PfIISQWcczeAQPXpEwBeTZTq0wBGMk3qe6Z/3zrgS4m77dk9SJOJ8NrXEj/AG61Ap8ATtyzFa19bi3ydHA/+8yiqfvY+bv/zXlz39G5c+JudaOq14k93VMW8HVGeVo4uc2RB3shKXhRBXq5aFvZK4ot7WmCxu/EfF0w+EVuWpcKbD6zDDcsL8MSH9dj0211483AHBu0u2JxuvLqvDbf+aQ80CjF+d8vSCSdHI7GyRI/D7QOw+4uUhGNbTTe0CvGYQj6ExAKt5AWRp5VDKhJM+UWsc2AYP3jtKJYUavHw5bFJy0hllflq5Gvl2OZvJjqZvY1GiIVs0j52iejC+dlIk4rwxqGOCWc4G3utKMlURp2GofOXzjbZnJiF0GfvDTFshE5IqkjU6tPA6SCvrmcIFy6IbP9RpE51W/Clv+xDhkqKV7+6JmnTtJcX6/Cvr63FthoDtp8woNZggVQkwH3nluKutSUjhUpiKU8jw/HOyIpnGa1OSEQCKKLYo1WUrkDfkAM2pxsKyeS3nl4vx6v727C6VI8FeeqQXkMuEeLR6xdjU2UOfvbOCXxz8+Exjy8v1uHxm5bEbIV0tBWz9Hj24yYcbTeHFaw53V58cMKAiytyaD85iTkK8oIQChhKM9OmtMKm18vxvX8cgdvL8fhNS0KuCkXGxxjDpsoc/O2zFljsrkmrZu2s7UVVsR4ycfJtLpZLhNhYkYN3j3Xjf66qDPpv4JzjRNcgzp8XfRuBwEpeuMVXTjdCj/1NCyFk+qllYuSoZagzWKb1dTsHhnHHc3shFQnw4t2rkjbACwhcrzZVTn2KHuCbvO4bcsDu8oR9zTNandArotuzVTSqwue8nMmDtj1N/Wjpt+HbF84J+7XOn5eNDXOysLfJiENtJnAOVOSpcU555pQV0wtU6N7XbAwryNvT2I9BuxsbpyFVk6QeiizGUZaVNqUrec992oTdDf14+PIFcdvXMBNdUpkDp8eLD0/2THhel3kYJ7st2DA3tikx0+mapfmwONzj/lt7LQ70W50hz4JOJOJ0zUE7hAKG9DQK8giZKcqz01A3jemadpcH9714AFaHB3+9e+WkPUXJ2QKrV4EU+nCYbM6oi5SMBHn9obXfeHVfG1QyUcRBsEDAsGZ2Ou7fUIYHzivDhrlZU1otXaeUYG62CnubjGE9b1tNNxQSIdZH0OuPkMlQkDeOssw0dAwMY9gZfn71ZFr6rXh02ylcOD8LN6+gfXixtKxIh0yVFFuruyc8b+epXgBI6mbZa2anI0slxeuHghfeO97lS82ZnxvLIC+8lbxuswNZKmnM9z8QQuKnPEuF+p4heL1T37mBc44fvl6No+1mPHbTkpBWgcjZ8rS+lc9Iiq8YrdEHecXpp1fyJmN3ebCtxoArFuclVabNihIdDjQb4faE1ijb6+V477gBG+ZmJtW/kyQPCvLGUZaVBs6Bxr7YzlZyzvHwmzWQCAV45JqFVLI2xgQChksrc/CBvzHpeN4/bkCeRoY52cnbrkIoYLhycR52nOoZ2Rg/2rF2M4DYBHkqmQgChqCvM5GpaIROCImv8uw0DLs86IiwWmM4/ranBa8dbMc3LyjHRdO8B3AmCfTKi+T/zGRzRdwjL0CrkEAtE4UU5O2q7cWwy4NLK3Ojes3ptrIkHVanBye6QktlPtRmQq/FQamaZMpQkDeOcv/Nf22M9x1sOdaNXbW9+O7Fc+jmd4rctKIITrcXrx0MvsJlsjqxs7YXly/OS/og+7rlBXB5ON44fPa/9fNmI+Zmq2LSrFMgYNAqJGGna/qCPErVJGQmKR8pvjK1+/JOdg/iZ++cwHlzM/HNECoskvEF2kFF0iuvf8gBfRitc8ZTlK5ASwjpmttqDNDIxUlX+XqVfy/e7oa+kM7fVmOAWMhwXgz2zRMSDAV54yjNUEIqEqCmI7JqVMFY7C78z79rUJGnDqthNwnPgjw1lhRq8fLeFnB+djrRu9XdcHs5rlycF4fRxdb8XDUWF2iw+fO2Mf9Wt8eLgy0mrCiJXeVQrUIcduGV7kE7VdYkZIYpz1IBAGoNU7cvz+7y4FubD0MtE+H/blg8pfupUoFUJERGmjTsNgoujxeDdjf0yugn64r1yklX8lweL7afMOCC+VkQJ1m1yWy1DPNyVNjh3w4yEc45tlZ3Y83sDKgnKRJHSKSS6zdoGomEAszPVaO60xyzr/mb92vRY3HgkWsWUqncKXbrqiI09FrxSf3YGTXOOV7Z14rZmUpUxKAgSSK4aUURThksONJ++mf1cNsArE4PVseoATvg25cXzkqezemGxe6mRuiEzDAahTiqkvyh+NW2UzjZbcH/Xb8YGVS4KSbytbKw0zUDE3t6ZfSBSGmmL8hzuMevdbC30QjzsCtpUxg3zM3C/hYjLPaJJ0RPdlvQarRNSwN0kroo0phAZb4aNR2DMdlcXt1hxgu7m3HbqiIsSaLmrcnqysV5yNPI8Kttp8ascH3eZMSRdjPuWjsr6VM1A65ckgelRIhnP24cObblWDckQgHOnRO76qE6hTiswivUCJ2QmWthgQbHOmI3CTravmYj/vRJE25fXUypbDGUp5WHXXglMLEX7Z48AJiTrYLHy9HQYx33nG013ZCLhTgnxs3gp8uGuZlweTg+re+f8Ly3j3RCwED7TMmUoiBvApV5GlgcbrSZQiv5Ox6Pl+OHb1RDr5Tg+xvnxWh0ZCIysRDfumgOjrSb8Y8D7QB8aSCPbDmBbLUU1y+fOVVN06QifHldCd452oXqDjNsTjfePNyBc+ZkTtorMBw6hWTCYjZnMgw6AFCQR8hMtDBfg6Y+KwYnWbEIl8PtwQ9eO4oCnRwPXUrXy1jyBXn2oNsYxtM/5HvP1yuiD/Lm5fjSfE8Zgq8Ae70c22q6sWFuJuRRNF6Pp+XFOqikIuysHb+Nk8fL8foh3zV6KhrfExJAQd4EKvM1AICj7dHNVv7981YcaRvAjy5bEJMiGCQ01y0rwOpSPR5+oxp/+bQJ33rlMI62m/Hw5QuS9gIynq+cUwqdQoxvv3IY//P2cfRbnfjahtKYvoZOGV66ZqARehYFeYTMOAsLfBkp1TFezXvyowY09FrxyDULoZCIYvq1U12eVo5hlyesvdWB93x9WvRB3qwMJcRChpPdwQv2HG4fQE+SV5sUCwU4Z24m3qsxwDVOK4U9jf3oMttx3bKCaR4dSTUU5E1gbo4KCokQ+5vDa245Wq/FgV9uPYm1s9Nx1ZLkL/SRTIQChidvXYaKPDV++vZxvHusC9/fOBeXL5p5/w9qmRhP3roMbSYbNu9rwxdXF2F5cWwrk2kVYthdXthdofWO7PYHeTm0J4+QGWehfxL0WJSToKPVGix4ekc9rl6SF9NUc+KT538vDmdfntEau5U8sVCA2ZlpODVOkPfusS6IhQznz0/uFN2rl+Sj3+rEx3XBC7D880A7VDIRpWqSKUfTZBMQCwVYXqzD3qbIg7z/t+UEHC4v/vfqyhmzByyZpKdJ8drX1uJ41yD0SglyNfJ4D2nKrC3LwMcPno9eiwPzc1Ux//qnG6I7Q/o+dpvtSJOKkCaltxlCZhq9UoLidAUOtppi8vU8Xo7/fO0o0qQiPHz5gph8TTJWnr9XXufA8Eim0mQCvVG1MQjyAF/KZrB7Ks453q3uxrqy5K82ee6cTOgUYrx2oAPnzxsbyHWb7fj30U7curKIGqCTKUcreZNYOUuPk92WsPYiBexu6MPrhzpw37mlmJ2ZvE23kx1jDBV5mhkd4AVkqqRYkKeekgkFnb9PkjHEhug9FuqRR8hMtnKWHp83GcPa4zWeF/e04FDrAB6+fAHSqZrmlMiLoCG60eaESiqCRBSb28XKfA26zPaRwlwB1R2DaDcN45KFydUAPRiJSIBrlxVga003WvrHFpl57tMmeDlwz/rYbqcgJBgK8iaxyl+CPtzVPLvLgx++Xo3idAXuP69sKoZGyLQKzOSGup+j22xHNu3HI2TGWlmih8nmQl1PdP3yuszDeHTrSawvz8A1S/NjNDpypnSlBBKRAF3m0BuiG63OmOzHC1gxy7eNYN8Z22C2VHdBKGC4aP7MSGG895xSCAUMv/+wfuRYm9GGF3Y348rFeSjUK+I4OpIqKMibxOJCDdKkInx0cvxKScE89VE9mvqseOTqhbQkT2aE0emaoTAMOqiyJiEz2KqSyCZBz/Tfb9bAwzkeuXohbWuYQgIBQ75WHvaePF2MUjUBoCJPDYVEiM9H/cy4PV7862A71pdnxKRVQyLIVstwx+pi/ONAO7ZWd2PQ7sI3/n4IIgHDg5vmxnt4JEVQkDcJqUiIDXMz8f5xAzwh9surNVjw9M4GXLs0H+vKM6Z4hIRMj0C6Zii98rxeDsOgnRqhEzKDFerlyNPI8Mk4BSZCsa2mG+8dN+CbF8xBUTqtbky1PK0srF55JpsT+hgGXiKhAGtnZ2D7CcNID+KPTvXCMOjALSuLYvY6ieB7G+diUYEG9714ACt+th3HOsz4zU1LUmLrCEkMFOSFYGNFDvqtzpCqbHq8HA/96xjSpCL88LL50zA6QqbHSLpmCHvy+q1OuL2cVvIImcEYYzhvXhY+rusLueruaBa7C//9Zg3m5ahwz/qSKRghOVOeRo4OUxhBntUV05U8ALhsUQ66zHYcaDWBc44/f9KILJUUF8ywxvcysRCb712N72+cixuqCvDP+9YkdXsIknwoyAvBefOyIBcL8drB9knPfXpHPQ60mGjzOJlxJCIB0qSikFbyAj3yqPAKITPbhQuyYXN6sKexP+zn/vq9Whgsdvy/axdCLKTbkemQr5Ojx+KAwx1aUN5vdSA9hnvyAOCiBTnQKcT47fY6vHm4E3sajbh/w2yIZuDPgEIiwgPnleFnVy/E0iJdvIdDUszM+42aOSPkhQAAEa1JREFUAmlSEa5Zlo83DndOWFnwYKsJj22vwxWL82jzOJmRtApxSJVmTwd5tJJHyEy2pjQdCokQ7x03hPW8Q60mvPBZM764qhjL6OZ32gQqbBrMjknPtTrcsLu8MU3XBHz3VN++aA4+qe/Dt145jKpiHW5dVRzT1yCEUJAXsrvWzoLT7cXznzYFfbzbbMf9Lx5EjlqGn1FPPDJD6RSSkAqvUCN0QlKDTCzERQuy8e8jnSGnbNqcbnzn1SPIUcvwfSpCMa3yw2ij0DfkCwQzpyAr6fbVxXj8piV4cNNcPPelFTFr0UAIOS2q3yrG2A2MsRrGmJcxVnXGYw8xxuoZY6cYYxtHHd/kP1bPGPtBNK8/neZkq3DZwlw883EjmvrG9j0xWp340vP7MORw4093VkEjT+5GnoSMR6sQh5auabaDsam5OSCEJJYbqwoxaHeHvJr38y0n0dRnxa9vWJz0ja+TzeiG6JPptfiCvAxV7N/HGWO4emk+7t9QRj8DhEyRaKdOqgFcC2DX6IOMsQUAbgZQAWATgKcYY0LGmBDAkwAuAbAAwC3+c5PCjy6fD5lYiLtf2Idmf6C3v9mI657ejcbeITx12zLMz1XHeZSETJ1wVvIy0qQzco8FIWSsNaXpKNDJ8cLu5kkbo39wwoC/7WnB3etKsLaMqk9Pt1x/dkUoQV5gJS8jxnvyCCHTI6o7MM75Cc75qSAPXQVgM+fcwTlvAlAPYKX/Tz3nvJFz7gSw2X9uUsjVyPHsHVXotThw/q93YMUj23H9Hz6D3eXBS/eswjlzMuM9REKmlE4hhimE6ppdZjvyKFWTkJQgEDB89dzZONBiwsd1feOe19g7hG+9chgLctX4/kZK04wHmViIjDRpSOmagZW8zClYySOETD3RFH3dfAB7Rn3e7j8GAG1nHF8V7Aswxu4FcC8AFBUlTu+UFbP0eP/b5+LlvS3oGLBjYb4aN1QVQimdqm8lIYlDq5Bg0O6G2+OdcJWu22xHaaZyGkdGCImnG6sK8IcdDfjZO8fxVsk6yMTCMY93m+348vP7IBYK8Mwdy896nEyffK0stCBvyAnGAH2MWygQQqbHpCt5jLHtjLHqIH+mdAWOc/4M57yKc16VmZlYK2Q5Ghm+c/Fc/PrGxbjrCyUU4JGUEaiyZh6eeF9el9lODV9JykulfetSkRCPXFOJWsMQfvxm9UijawCoM1hw0zOfoX/IiT/dWYUCHTU9j6c8rTzkPXnpSgml3ROSpCaNTjjnF0bwdTsAFI76vMB/DBMcJ4QkOK3Ct0HeZHON2wfSYndhyOEe2ftBSAoL7Fv/4+iDZ+xbzwOwnTE2x//wkwAugi/TZR9j7C3O+fHpG3LkNszNwjfOL8MTH9ajzTiMSxfm4JTBgn/sb0eaVIQX7l5J7RISQL5Wjh2nesE5n7ASeN+QAxlUPIuQpDVVS1BvAXiZMfYb+C5g5QA+B8AAlDPGSuAL7m4GcOsUjYEQEmPpSt8Fv3/IgbKstKDndJl97RNytbSSR1Ib5/wEgGA30iP71gE0McYC+9YB/751//MC+9aTIsgDgO9cNAfZahke316Hh9+sgUQowJVL8vDgxrnIor6ZCSFPK8ewy4MBmwu6CXrg9VoctB+PkCQWVZDHGLsGwBMAMgG8wxg7zDnfyDmvYYy9Ct+FyQ3gAc65x/+crwPYBkAI4DnOeU1U/wJCyLTJVvsu+D2W8RvpjgR5tJJHyHhm7L51xhi+uLoYt6wsQq/FAa1CTPvvEkzeqF55EwV5fUMOlGTQ3mpCklVUQR7n/HUAr4/z2CMAHglyfAuALdG8LiEkPrJUvsDN4G92HkyXf68HBXkkFTDGtgPICfLQDznnb07V63LOnwHwDABUVVVN3LcgDoQChhx6D0hIoxuiV+Zrgp7DOfena1LRFUKSFVUMIYSETC0XQSoSTLqSxxiQTalZJAXQvnWSbPJ1kzdEtzjcsLu8lK5JSBKjkkmEkJAxxpCllqJngpW8brMdmWlSiKkiGyHjeQvAzYwxqX+PemDf+j74960zxiTw7Vt/K47jJDOQTiGGTCyYMMjrGgik3dPeakKSFa3kEULCkq2SwTA4/kpep3mYUjUJAe1bJ4mJMeZvozBB2r2Z0u4JSXYU5BFCwpKlluJkt2Xcx7vNdszODF55k5BUQvvWSaLK18rRbrKN+zhVSSYk+VE+FSEkLFkqGXrHWcnjnKPLbKeCC4QQksCK9Aq0GicO8hgDsmhPHiFJi4I8QkhYstRSWBxuWB3usx4bsPkaoRfoaPaXEEIS1ax0JUw2F8w2V9DHuwaGkaWivdWEJDP67SWEhCXb30YhWIXNwMxwkV4xrWMihBASuuJ033t0c7816ONdZjsVXSEkyVGQRwgJS6A1Qrf57E37Lf4grzidGugSQkiimuVvcj5+kEcFtAhJdhTkEULCUqj3ze62Bdm03+q/YQicQwghJPEU6RVgDGjpP/t9PLC3mlbyCEluFOQRQsKSp5VDwIC2IJv2W402ZKqkUEiocC8hhCQqmViIXLUs6Ere4LAbNqeHVvIISXIU5BFCwiIWCpCnlQetzNbSb0Mx7ccjhJCEV5yuRHPf2UFei9F3rCid3ssJSWYU5BFCwlaoUwRdyWsz2qjoCiGEJIHSTCXqe4bAOR9zvNmfwjmL9lYTktQoyCOEhM3XY2l4zDG7y4OuQTvN/hJCSBKYl6PCoN090vg8oMW/ukcTdoQkNwryCCFhK0pXoG/IAZvzdK8834wwUJaVFseREUIICcXcHDUA4FS3Zczx5n4bctQyyCXCeAyLEBIjFOQRQsJW6J/hbRu1mlfX47tRmJutisuYCCGEhG5uju+9+uQZQV5T39BIHz1CSPKiII8QErZZ/huAxt6hkWO1hiGIhWyk/xIhhJDEpZGLkaeR4WT34Mgxr5fjVLcF83Joso6QZEdBHiEkbOVZKggYcKLr9M3BqW4LSjKUEAvpbYUQQpLB3BwVTnadXslrM9lgdXqwIE8dx1ERQmKB7sYIIWGTS4SYnZmGmk5fkMc5x+G2ASwu0MZ5ZIQQQkK1qECLuh4LBu0uAMBx/3v6/FwK8ghJdhTkEUIisiBPPRLkNffbYLQ6saxYF+dREUIICdWqEj28HDjQbAIAHG4fgFjIMIf2VhOS9CjII4REZFmRDt2DdjT1WbGv2ThyjBBCSHJYWqSDWMiwu6EPAPBJXR+WFekgE1NlTUKSHQV5hJCInDc3CwCw41QPthzrQr5WjnJqn0AIIUlDLhHiC2UZeOdoF3osdtR0DmJ9eUa8h0UIiQEK8gghESlKV6A8Kw1PftSAnbW9uHxxLgQCFu9hEUIICcM1S/PRabbjy8/vAwBsrMiJ84gIIbFAQR4hJGJfP78MfUMOKCUi3L66ON7DIYQQEqZLKnMxL0eF6o5BXLE4D+W0H4+QGUEU7wEQQpLXVUvyUZKhRKZKilyNPN7DIYQQEiaJSIBX71uDI20DWFWSHu/hEEJihII8QkhUFlHbBEIISWpqmRjryzPjPQxCSAxFla7JGPs/xthJxthRxtjrjDHtqMceYozVM8ZOMcY2jjq+yX+snjH2g2henxBCCCGEEELIWNHuyXsfQCXnfBGAWgAPAQBjbAGAmwFUANgE4CnGmJAxJgTwJIBLACwAcIv/XEIIIYQQQgghMRBVkMc5f49z7vZ/ugdAgf/vVwHYzDl3cM6bANQDWOn/U885b+ScOwFs9p9LCCGEzCiU7UIIISReYlld88sA3vX/PR9A26jH2v3Hxjt+FsbYvYyx/Yyx/b29vTEcJiGEEDItKNuFEELI/2/v7kLsuMs4jn9/GhMR6wumgjZJEzEFS72wBK03VkmRECS5UCRK0WixtFrBFxShF4rSCxGLiEKNGHzBaqoXsmBK8KUSEFMbKJakoMRaa6rQWrU3xZfUx4sZyZqZZI/Z7czZ2e8HDsyZGc4+/PacffY/5/8/ZxRLDvKS/DjJiZ7b3kXn3AqcAb69UoVV1YGq2lFVOy691MXAkqTVxdkukqSxLPnpmlV13YWOJ9kPvAXYWVXV7n4U2LzotE3tPi6wX5KkqXovcKjdvoxm0Pdfi2e1nDvb5XV9D5bkRuBGgC1btqxooZKk1W+5n665C/g4sKeqnlp0aAHYl2RDkm3AduCXwH3A9iTbkqynma6ysJwaJEkai7NdJEnzaLnfk/clYAPwoyQAx6rqpqo6meQu4EGaxvaBqnoaIMktwBHg2cDBqjq5zBokSRqFs10kSfNoWYO8qnrlBY7dBtzWs/8wcHg5P1eSpHm3aLbLtT2zXe5Mcjvwcs7OdgntbBeawd0+4J3DVi1JmoKcvbA4v5I8Dvx+BR5qI/DnFXicKTGTLjPpZy5dZtK1EplcXlWrfg5iklM0s12eaHcdq6qb2mO30qzTOwN8qKrubvfvBr7A2dkunYulPT9nJXqkz+V+5tJlJl1m0s9cupabycz9cVUM8lZKkuNVtWPsOuaJmXSZST9z6TKTLjNZnfy99TOXLjPpMpN+5tI1ZCYr+T15kiRJkqSROciTJEmSpAlZa4O8A2MXMIfMpMtM+plLl5l0mcnq5O+tn7l0mUmXmfQzl67BMllTa/IkSZIkaerW2jt5kiRJkjRpDvIkSZIkaUImN8hLsivJr5OcSvKJnuMbkhxqj9+bZOvwVQ5vhlw+kuTBJA8k+UmSy8eoc0hLZbLovLcmqSST/xjgWTJJ8vb2uXIyyZ1D1ziGGV4/W5Lck+T+9jW0e4w6h5LkYJLHkpw4z/Ek+WKb1wNJrh66RvWzR3bZH/vZI7vskV32x6656ZFVNZkbzZfH/hZ4BbAe+BVw5TnnvB+4o93eBxwau+45yeVNwPPa7ZunnsssmbTnXQIcBY4BO8aue+xMgO3A/cCL2/svHbvuOcnlAHBzu30l8PDYdT/DmbwBuBo4cZ7ju4G7gQDXAPeOXbM3e+QyMllT/XHWXNrz7JH/e86a6pH2x/PmMhc9cmrv5L0WOFVVD1XVP4HvAnvPOWcv8I12+/vAziQZsMYxLJlLVd1TVU+1d48BmwaucWizPFcAPgN8Fvj7kMWNZJZM3gd8uar+ClBVjw1c4xhmyaWAF7TbLwT+OGB9g6uqo8BfLnDKXuCb1TgGvCjJy4apThdgj+yyP/azR3bZI7vsjz3mpUdObZB3GfCHRfdPt/t6z6mqM8CTwEsGqW48s+Sy2A00VximbMlM2rfPN1fVD4csbESzPE+uAK5I8vMkx5LsGqy68cySy6eA65OcBg4DHxymtLn1//7N0TDskV32x372yC57ZJf98eIM0iPXrfQDanVLcj2wA7h27FrGlORZwO3A/pFLmTfraKajvJHmavbRJK+uqr+NWtX43gF8vao+n+T1wLeSXFVV/x67MEkrw/54lj3yvOyRXfbHkUztnbxHgc2L7m9q9/Wek2QdzVvHTwxS3XhmyYUk1wG3Anuq6h8D1TaWpTK5BLgK+FmSh2nmTC9MfGH5LM+T08BCVf2rqn4H/IamoU3ZLLncANwFUFW/AJ4LbBykuvk0098cDc4e2WV/7GeP7LJHdtkfL84gPXJqg7z7gO1JtiVZT7NofOGccxaAd7fbbwN+Wu0qyAlbMpckrwG+QtPApj6HHJbIpKqerKqNVbW1qrbSrMPYU1XHxyl3ELO8fn5Ac4WSJBtppqY8NGSRI5gll0eAnQBJXkXTxB4ftMr5sgC8q/0EsWuAJ6vqT2MXJXtkD/tjP3tklz2yy/54cQbpkZOarllVZ5LcAhyh+cSfg1V1MsmngeNVtQB8jeat4lM0iyL3jVfxMGbM5XPA84HvtWvsH6mqPaMV/QybMZM1ZcZMjgBvTvIg8DTwsaqa8lX+WXP5KPDVJB+mWWS+f8r/GCf5Ds0/MhvbdRafBJ4DUFV30Ky72A2cAp4C3jNOpVrMHtllf+xnj+yyR3bZH/vNS4/MxHOWJEmSpDVlatM1JUmSJGlNc5AnSZIkSRPiIE+SJEmSJsRBniRJkiRNiIM8SZIkSZoQB3mSJEmSNCEO8iRJkiRpQv4D3h2j+BZpjDcAAAAASUVORK5CYII=\n",
+ "image/png": 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\n",
"text/plain": [
- "<matplotlib.figure.Figure at 0x7fedb118a8d0>"
+ "<Figure size 1080x720 with 4 Axes>"
]
},
"metadata": {
@@ -10352,9 +1269,9 @@
},
{
"data": {
- "image/png": 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\n",
+ "image/png": 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\n",
"text/plain": [
- "<matplotlib.figure.Figure at 0x7fedc0323710>"
+ "<Figure size 432x288 with 1 Axes>"
]
},
"metadata": {
@@ -10364,9 +1281,9 @@
},
{
"data": {
- "image/png": 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\n",
+ "image/png": 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\n",
"text/plain": [
- "<matplotlib.figure.Figure at 0x7feda9a1a210>"
+ "<Figure size 432x288 with 1 Axes>"
]
},
"metadata": {
@@ -10430,7 +1347,7 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython2",
- "version": "2.7.12"
+ "version": "2.7.16"
}
},
"nbformat": 4,