diff --git a/lib/datasets/math_base_funcs.py b/lib/datasets/math_base_funcs.py
index ef78302..410bbd6 100644
--- a/lib/datasets/math_base_funcs.py
+++ b/lib/datasets/math_base_funcs.py
@@ -3,6 +3,7 @@
 #####################################################
 import math
 import abc
+import copy
 import numpy as np
 from typing import Optional
 import torch
@@ -29,7 +30,7 @@ class FitFunc(abc.ABC):
                 raise ValueError("The {:} is None".format(key))
 
     @abc.abstractmethod
-    def __getitem__(self, x):
+    def __call__(self, x):
         raise NotImplementedError
 
     @abc.abstractmethod
@@ -96,7 +97,7 @@ class QuadraticFunc(FitFunc):
     def __init__(self, list_of_points=None):
         super(QuadraticFunc, self).__init__(3, list_of_points)
 
-    def __getitem__(self, x):
+    def __call__(self, x):
         self.check_valid()
         return self._params[0] * x * x + self._params[1] * x + self._params[2]
 
@@ -118,7 +119,7 @@ class CubicFunc(FitFunc):
     def __init__(self, list_of_points=None):
         super(CubicFunc, self).__init__(4, list_of_points)
 
-    def __getitem__(self, x):
+    def __call__(self, x):
         self.check_valid()
         return (
             self._params[0] * x ** 3
@@ -146,7 +147,7 @@ class QuarticFunc(FitFunc):
     def __init__(self, list_of_points=None):
         super(QuarticFunc, self).__init__(5, list_of_points)
 
-    def __getitem__(self, x):
+    def __call__(self, x):
         self.check_valid()
         return (
             self._params[0] * x ** 4
@@ -183,13 +184,14 @@ class DynamicQuadraticFunc(FitFunc):
         super(DynamicQuadraticFunc, self).__init__(3, list_of_points)
         self._timestamp = None
 
-    def __getitem__(self, x):
+    def __call__(self, x):
         self.check_valid()
-        return (
-            self._params[0][self._timestamp] * x * x
-            + self._params[1][self._timestamp] * x
-            + self._params[2][self._timestamp]
-        )
+        a = self._params[0][self._timestamp]
+        b = self._params[1][self._timestamp]
+        c = self._params[2][self._timestamp]
+        convert_fn = lambda x: x[-1] if isinstance(x, (tuple, list)) else x
+        a, b, c = convert_fn(a), convert_fn(b), convert_fn(c)
+        return a * x * x + b * x + c
 
     def _getitem(self, x, weights):
         raise NotImplementedError
diff --git a/lib/datasets/synthetic_utils.py b/lib/datasets/synthetic_utils.py
index f1fdab8..ce286bc 100644
--- a/lib/datasets/synthetic_utils.py
+++ b/lib/datasets/synthetic_utils.py
@@ -77,7 +77,7 @@ class SinGenerator(UnifiedSplit, data.Dataset):
                 fitting_data.append((inter_value, math.pi * (2 * i + _phase)))
         self._period_phase_shift = QuarticFunc(fitting_data)
         UnifiedSplit.__init__(self, self._total_num, mode)
-        self._transform = lambda x: x
+        self._transform = None
 
     def __iter__(self):
         self._iter_num = 0
@@ -92,14 +92,20 @@ class SinGenerator(UnifiedSplit, data.Dataset):
     def set_transform(self, transform):
         self._transform = transform
 
+    def transform(self, x):
+        if self._transform is None:
+            return x
+        else:
+            return self._transform(x)
+
     def __getitem__(self, index):
         assert 0 <= index < len(self), "{:} is not in [0, {:})".format(index, len(self))
         index = self._indexes[index]
         position = self._interval * index
-        value = self._amplitude_scale[position] * math.sin(
-            self._period_phase_shift[position]
+        value = self._amplitude_scale(position) * math.sin(
+            self._period_phase_shift(position)
         )
-        return index, position, self._transform(value)
+        return index, position, self.transform(value)
 
     def __len__(self):
         return len(self._indexes)
diff --git a/notebooks/TOT/synthetic-data.ipynb b/notebooks/TOT/synthetic-data.ipynb
index 3677a48..dd17b2e 100644
--- a/notebooks/TOT/synthetic-data.ipynb
+++ b/notebooks/TOT/synthetic-data.ipynb
@@ -47,13 +47,13 @@
      "output_type": "stream",
      "text": [
       "SinGenerator(100/100 elements,\n",
-      "amplitude=QuadraticFunc(y = -12.000019073486328 * x^2 + 11.999970436096191 * x + 0.9999865293502808),\n",
-      "period_phase_shift=QuarticFunc(y = 7.079958915710449 * x^4 + -13.879528999328613 * x^3 + -17.825382232666016 * x^2 + 53.32909393310547 * x + 53.32909393310547))\n"
+      "amplitude=QuadraticFunc(y = -12.000055313110352 * x^2 + 11.999917984008789 * x + 0.9999290108680725),\n",
+      "period_phase_shift=QuarticFunc(y = 7.24642276763916 * x^4 + -14.495288848876953 * x^3 + -17.114450454711914 * x^2 + 53.0693473815918 * x + 53.0693473815918))\n"
      ]
     },
     {
      "data": {
-      "image/png": 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iIqKLisUKoCCA66SUGwBsBLBHCGG8Nb5EpBtvvvkmvv71rwMAvvCFL2DTpk244YYbYDab8eyzzypOR3rR09ODiooKTZ1YVF1djZ6eHiwsLKiOQnRZmpubMTc3h507d6qOElfXXXcdzp49i6amJtVRiIiILmrFBZB8y8zv/tHyuw+50usSES2VlBJPPfUU/uM//gMulwt/93d/B5fLBQDIzMzE7t27cfjwYZ7WQpc0NzcHn8+nme1fUVVVVVhcXITH41EdheiyHDp0CFlZWVi/fr3qKHG1Zs0a5Ofn49ChQ6qjEBERXVRMZgAJIVKEEE0A/ACel1IeicV1iYguVygUwn/+53/i17/+NbZv347Pfe5zyMzMfNvn3HjjjTCZTFwFRJektfk/UWvWrIHJZOI2MNKF6elpNDc3Y/v27TCZjD12UgiBHTt2oKOjA5OTk6rjEBERXVBMfhpLKRellBsBOAFsE0LU/eHnCCHuFkIcE0IcCwQCsbgtERGA3w97PnbsGP74j/8Yn/zkJ2GxWN7xeTk5Odi1axcOHjzIF+j0rnp6eiCEQHl5ueoob2Oz2VBeXs4CiHTh2LFjiEQiht/+FbVjxw5IKXHkCN8HJSIibYrp2zFSykkArwDYc4F/97CUcquUcmtBQUEsb0tESczr9eKf/umfMDw8jHvuuQd79ux515ktN998MyKRCJ577rkEpiS96enpgcPh0OTQ2urqavT29nLYLGneoUOH4HK5UFxcrDpKQhQUFKCyshKHDh2ClJyGQERE2hOLU8AKhBDZv/vfqwDcAKBjpdclIrqU9vZ2fP3rX4fJZMIXvvAFbNiw4ZK/Jj8/H9u3b8drr72G6enpBKQkvZFSnhsArUVVVVWIRCLo6upSHYXoooaHh9HX15c0q3+idu7cieHhYXi9XtVRiIiI3iEWK4AcAF4WQpwE8AbemgH02xhcl4joXT311FPIysrCF7/4RTidzsv+dXv37kU4HMYLL7wQx3SkV6Ojo5idndXc9q+oyspKpKSkcBsYadqhQ4dgMplwxRVXqI6SUFu2bIHZbMbhw4dVRyEiInqHWJwCdlJKuUlK2SClrJNSfjUWwYiI3s3Zs2fh8XhwxRVXvGPY86XY7XZs3boVL7/8MmZnZ+OUkPRKqwOgo6xWK+cAkaZFIhEcOXIEdXV1S/7+rHdpaWnYuHEjjh49isXFRdVxiIiI3sbYRzIQkWF1dHQgEomgtrZ2Wb9+7969CAaDeOmll2KcjPSup6cHqampKCkpUR3loqqrq+H1ejE/P686CtE7dHZ2YnJyEjt27FAdRYkdO3ZgZmYGLS0tqqMQERG9DQsgItKl1tZW2Gw2uN3uZf36kpISbNy4ES+99BIfoultent7UVZWpuljq6urqzkHiDTr0KFDSEtLQ0NDg+ooStTU1CAjI4PbwIiISHO0++qWiOgipJRoaWnB+vXrkZKSsuzr3HLLLZibm8Mrr7wSu3Cka+FwGF6vV7Pbv6IqKythNpu5DYw0JxwOo6mpCVu2bIHFYlEdR4mUlBRs27YNJ0+e5DZjIiLSFBZARKQ7w8PDmJiYWPb2r6iysjLU1dXh+eef55HaBAAYGBhAOBzWfAFksVhQUVHBAog0p7u7G8FgEPX19aqjKLVz506Ew2EcO3ZMdRQiIqJzWAARke60trYCAOrq6lZ8rVtuuQUzMzN4/fXXV3wt0j+tD4A+X3QO0NzcnOooROe0tbXBZDKhurpadRSlnE4nSkpKuA2MiIg0hQUQEelOa2sriouLkZOTs+JrVVZWorq6Gs899xxCoVAM0pGe9fT0ICsrC9nZ2aqjXFJ1dTWklJwDRJrS1tYGt9sNm82mOopSQgjs2LED3d3d8Pl8quMQEREBYAFERDoTDAZx+vTpFW//Ot8tt9yCM2fO4ODBgzG7JulTT08PKioqIIRQHeWSKioqOAeINGV2dhZerxc1NTWqo2jC9u3bIYTgKiAiItIMFkBEpCudnZ0Ih8Mx2f4VVV1djcrKSjz77LNYXFyM2XVJX2ZnZ+H3+3Wx/Qt4aw5QZWUlCyDSjPb2dkgpsX79etVRNCErKws1NTU4fPgwpJSq4xAREbEAIiJ9aW1tRWpqKtasWROzawohcMstt2B8fBxHjhyJ2XVJX3p7ewHoY/5PVHV1NQYGBnjSEGlCW1sb0tLSUF5erjqKZuzcuRPj4+M4ffq06ihEREQsgIhIX1pbW7Fu3TqYzeaYXre2thalpaV45plnEIlEYnpt0oeenh4IIVBWVqY6ymWrqqqClJIPl6SclBJtbW2orq6GycSXl1EbNmyAzWbDoUOHVEchIiJiAURE+uH3+xEIBGI6/ycqugrI7/fjxIkTMb8+aV9PTw8cDoeuhtdWVFTAYrFwGxgp5/f7MTExwfk/fyA1NRVbtmzB8ePHsbCwoDoOERElORZARKQbsTz+/UI2bNgAi8XC1RRJSEp5bgC0npjNZqxZs4YFECnX1tYGACyALmDnzp0IBoNobGxUHYWIiJIcCyAi0o2WlhYUFhYiPz8/Ltc3mUwoLy9Hd3d3XK5P2hUIBDA7O6u7Agh4aw7Q4OAgZmZmVEehJNbW1oaCgoK4fX/WszVr1iAvL4+ngRERkXIsgIhIF0KhEDo7O+Oy/et8brcb/f39CIfDcb0PaUtPTw8AfQ2AjqqqqgIAnDp1SnESSlaLi4vo7Ozk6V8XIYTAjh070N7ejsnJSdVxiIgoibEAIiJdOH36NEKhUNy2f0VVVFQgHA7D6/XG9T6kLb29vUhNTUVxcbHqKEtWXl4Oq9XKAoiU6e7uRjAY5Pavd7Fjxw5IKXH06FHVUYiIKImxACIiXWhtbYXZbD632iFeoitAoitCKDn09PSgrKxMl6cXpaSkwOl0or+/X3UUSlJtbW0wmUyorq5WHUWzCgsLUVlZiUOHDkFKqToOERElKf290iWipNTa2oqqqiqkpqbG9T7Z2dnIyclhAZREwuEw+vv7dbn9K8rlcmFgYIAPlqREe3s7ysvLkZaWpjqKpu3YsQNDQ0Msa4mISBkWQESkeWNjYxgeHo77/J8ot9vNQdBJZGBgAOFwWNcFkNPpxPz8PMbGxlRHoSQzOzuL3t5ebv+6DFu3boXZbOYwaCIiUoYFEBFpXryPf/9DbrcbY2NjmJqaSsj9SC09D4COcrlcAMCVBZRwnZ2dkFKyALoMaWlpaGhowNGjR7G4uKg6DhERJSEWQESkea2trcjLy4Pdbk/I/TgHKLn09PSc2/qnVyUlJRBCYGBgQHUUSjJtbW2w2WwoLy9XHUUXdu7cienpabS1tamOQkRESYgFEBFpWjgcRkdHB2prayGESMg9S0tLkZKSwm1gSaKnp0fXq38AwGKxoKioiCuAKKGklGhra0N1dTVSUlJUx9GFmpoa2Gw2NDY2qo5CRERJiAUQEWlad3c35ufnEzb/B3jrYdrlcrEASgKzs7Pw+/26L4CAt+YAcQUQJVIgEMDY2Bi3fy2B2WzGhg0b0NTUhEgkojoOERElGRZARKRpLS0tMJlMWLduXULvW1FRgb6+Pr5ANzgjzP+JcjqdGBsbw9zcnOoolCSi25hYAC3Nxo0bMTs7i66uLtVRiIgoybAAIiJNa21txZo1a2Cz2RJ634qKCgSDQQwNDSX0vpRYPT09EEKgrKxMdZQViw6C5iogSpT29nbk5eWhoKBAdRRdqa2thcViwZtvvqk6ChERJRkWQESkWZOTkxgYGEjY6V/nc7vdADgI2uh6enpQXFwMq9WqOsqKOZ1OACyAKDEikQg6OjpQU1OTsPlsRmG1WlFbW4vGxkZIKVXHISKiJMICiIg0K7q9IJHzf6Ly8/OxevVqzgEyMCklent7DXN6UWZmJjIyMjgImhKip6cH8/Pz3P61TJs2bcLk5CT6+vpURyEioiTCAoiINKu1tRVZWVkoKSlJ+L2FEHC73VwBZGCBQACzs7OGmP8DvPU1y0HQlChtbW0QQqC6ulp1FF1qaGiAyWTiNjAiIkooFkBEpEmRSARtbW0JPf79D1VUVGB4eJhDdQ3KSAOgo1wuF4aGhrC4uKg6Chlce3s7ysrKkJ6erjqKLqWlpaG6uprbwIiIKKFYABGRJvX29mJubk7J9q+o6Byg3t5eZRkofnp6emC1WlFcXKw6Ssw4nU6Ew2H4fD7VUcjA5ubm0NPTw+1fK7R582b4/X4MDw+rjkJEREmCBRARaVJLSwuEEEofMMrLyyGE4Bwgg+rp6UFZWRlMJuP8KIyeBMY5QBRPnZ2diEQiLIBWaMOGDRBCoLGxUXUUIiJKEsZ51UtEhtLa2gq32420tDRlGWw2GxwOB+cAGVA4HMbAwIChtn8BQFFREcxmM+cAUVy1t7fDarUa7u9PomVlZcHtdrMAIiKihGEBRESaMz09jb6+PqXbv6IqKirQ09PDGQ0GMzQ0hHA4jLKyMtVRYspkMqGkpIQrgCiu2traUF1dDbPZrDqK7m3evBn9/f0YHR1VHYWIiJIACyAi0pz29nZIKTVRALndbszOziIQCKiOQjEUnblhpPk/UdGTwFhaUjyMjo4iEAhw+1eMbNy4EQDQ1NSkNAcRESUHFkBEpDktLS1YvXq1JlZnRAdBcw6QsQwPD8NkMqGwsFB1lJhzuVyYnp7GmTNnVEchA2prawMArF+/XnESY8jPz4fL5eJx8ERElBAsgIhIczo7O7F+/Xplx7+fr6ioCDabjXOADGZ4eBh2ux0pKSmqo8Sc0+kEAM4Borhob29HTk4O7Ha76iiGsWnTJnR3d7O0JSKiuGMBRESaMjMzg8nJSU2s/gHemqlSXl7OFUAGMzw8DIfDoTpGXEQLIM4BoliLRCLo6OhATU2NJgp6o9i0aROklDhx4oTqKEREZHAsgIhIU6KrFqIPsVpQUVGBgYEBLCwsqI5CMRAOh+H3+w1bAK1atQp5eXlcAUQx19fXh7m5Oc7/iTGHwwG73c7TwIiIKO5YABGRpgwODgIASkpKFCf5PbfbjUgkgr6+PtVRKAb8fj+klIYtgIC35gBxBRDFWltbG4QQWLduneoohiKEwMaNG9HR0YG5uTnVcYiIyMBYABGRpgwMDCAzMxOZmZmqo5xTUVEBAJwDZBBDQ0MAYOgCyOl0wu/3IxgMqo5CBtLW1obS0lKsXr1adRTD2bx5MyKRCE6ePKk6ChERGRgLICLSlIGBAU2t/gGAjIwM5OfnswAyiOHhYQghDD3E1uVyQUp5ruwiWqn5+Xl0d3dz+1eclJWVIScnh9vAiIgorlgAEZFmRCIRDA0NaWr+T5Tb7eYgaIMYGRlBfn4+LBaL6ihxw5PAKNY8Hg8ikQiqq6tVRzGk6Daw1tZWrtwjIqK4YQFERJrh8/kQDoc1WwBNTk5iYmJCdRRaoaGhIUNv/wKAvLw82Gw2zgGimOnu7oYQAm63W3UUw9q8eTNCoRDa2tpURyEiIoNacQEkhHAJIV4WQrQLIVqFEH8Zi2BElHy0eAJYFOcAGUMkEoHP5zN8ASSEgMvl4gogihmPx4OSkhJYrVbVUQxrzZo1SE9P5zYwIiKKm1isAAoD+LyUcj2AHQDuE0JwgzgRLdng4CBMJhOKiopUR3kHp9MJs9nMbWA6FwgEsLi4aPgCCHjra3ZgYABSStVRSOcikQh6enq4+ifOTCYTNm7ciJMnTyIcDquOQ0REBrTiAkhKOSylfPN3/3saQDsAbU1wJSJd6O/vh8PhgNlsVh3lHcxmM0pLS1kA6dzw8DAAY58AFuVyuRAMBhEIBFRHIZ0bHh7G/Pw8KisrVUcxvE2bNuHs2bPo7OxUHYWIiAwopjOAhBDlADYBOHKBf3e3EOKYEOIYX4wS0YUMDg5qcvtXlNvthtfrxeLiouootEzRAkiLq8xijYOgKVaixTdXAMXfunXrYLPZuA2MiIjiImZvswshVgP4JYC/klJO/eG/l1I+DOBhANi6dSvXo9OSPfnkk+jq6kJqauolP5xOJ1+o6szs7CwmJiY0dwT8+SoqKvDCCy9gYGAAZWVlquPQMgwPDyMnJwc2m011lLgrLi6GyWRCf38/Nm/erDoO6ZjH48Hq1atRUFCgOorhWSwW1NfXo6mpCR/5yEdgMvG8FiIiip2YFEBCCAveKn9+IqX8VSyuSXQ+n8+HZ555Bg6HA1arFRMTE1hYWHjbRyQSOff5qamp+PrXv45Vq1YpTE1LMTg4CECbA6CjoqViT08PCyCdGh4eRnFxseoYCWGxWFBUVMQVQLRi3d3dcLvdEEKojpIUNm7ciDfeeAMejwdr165VHYeIiAxkxQWQeOvVwH8CaJdSfmPlkYje6aWXXoLZbMbnPvc5ZGZmXvBzFhcXsbCwgL6+Pvy///f/cPToUVxzzTUJTkrLpeUTwKJycnKQlZWF7u5uvOc971Edh5ZISonh4WFUVVWpjpIwTqcTp0+fVh2DdGx2dhY+nw+7du1SHSVp1NXVwWw2o7GxkQUQERHFVCzWlV4J4GMArhNCNP3u45YYXJcIADA3N4eDBw9i27ZtFy1/ACAlJQWrVq1CdXU1XC4XXn/9dZ5+oyMDAwNYvXr1u/43Vk0IgYqKCh4Fr1NjY2MIhUJJMQA6yuVyYWJiArOzs6qjkE5x/k/i2Ww21NTUoKmpia9jiIgopmJxCth+KaWQUjZIKTf+7uPpWIQjAoD9+/djYWEB11133WV9vhACV111Ffr7++H1euOcjmJlYGAATqdT81sM3G43/H4/ZmZmVEehJRoZGQGQHCeARXEQNK2Ux+OByWTittcE27RpE8bGxtDf3686ChERGQgny5GmRSIRvPzyy6iqqoLL5brsX7d9+3ZYLBa8/vrrcUxHsRKJRDA0NKTp7V9RFRUVAMBVQDo0NDQEIDlOAItiAUQr1d3dDZfLBavVqjpKUtmwYQNMJhNPAyMiophiAUSa1tTUhPHxcdxwww1L+nWrVq3CFVdcgaNHjyIYDMYpHcVKIBBAKBTS9AlgUWVlZRBCnNsWQfoxPDyMzMxMpKenq46SMJmZmcjMzOQqAlqWSCSC3t5ebv9SID09HWvWrMHJkydVRyEiIgNhAUSa9sILLyA/Px/19fVL/rVXXXUVgsEg3njjjTgko1iKPpwuZZWXKlarFU6nkyuAdGh4eDiptn9FuVwurgCiZRkcHEQwGGQBpEh9fT0GBgYwMTGhOgoRERkECyDSrL6+Png8Hlx33XUwmZb+pep2u+FwOLgNTAcGBwdhMpl0szUnOgiawzn1I3oCWDIWQE6nE0NDQwiHw6qjkM54PB4AHACtSkNDAwCgublZcRIiIjIKFkCkWS+++CJsNhuuvPLKZf16IQSuvvpq9Pb28t1vjRsYGIDdbofFYlEd5bK43W7Mz8+fGypM2nfmzBnMz88nZQHkcrmwuLjIr1dasu7ubmRmZiIvL091lKRkt9tRUFDAbWBERBQzLIBIkyYnJ3Hs2DFceeWVsNlsy77Ojh07YDabuQpI46IngOlFdBA05wDpx/DwMIDkOgEsioOgabm6u7tRWVmp+dMZjUoIgYaGBnR0dGBhYUF1HCIiMgAWQKRJr776KiKRCK699toVXSc9PR1btmzBkSNH+OJJo+bm5jA+Pq6rAshutyMtLY1zgHQkmQug6Oo6DoKmpZienkYgEOD2L8Xq6+sRCoXQ0dGhOgoRERkACyDSnFAohNdeew0NDQ0oKChY8fWuuuoqnD17FsePH49BOoq1wcFBANBVASSEQElJybljxUn7hoeHkZ6ejoyMDNVREs5kMqGkpIQrgGhJoiscKysrFSdJbmvXroXNZuMcICIiigkWQKQ5R48exczMzJKPfr+YtWvXwm63cxuYRkUfSvVUAAFAUVERRkZGOAhaJ4aHh1FUVJS0W1lcLhf6+/v59UqXzePxICUlBaWlpaqjJDWz2YyamhqcPHmSf3+JiGjFWACRpkgp8cILL8DpdGLt2rUxuaYQAldddRU8Hg9XbGjQ4OAg0tPTkZWVpTrKkhQVFWF2dhYzMzOqo9BlGB4eRnFxseoYyjidTszOzmJyclJ1FNKJ7u5uuFwu3QznN7KGhgZMTk5yFR8REa0YCyDSlM7OTgwNDeH666+P6Tv1O3fuREpKCvbv3x+za1JsDAwMoKSkRHcrM6KzZHiykvZNT09jZmYmKef/RHEQNC3F4uIient7uf1LI+rq6iCE4GlgRES0YiyASFNefPFFZGRk4IorrojpdTMyMrBp0yYcPnwYoVAoptem5YtEIhgcHITL5VIdZcmKiooA/H64MGlXMg+AjooWQBwETZdjYGAAoVCIA6A1IiMjAxUVFSyAiIhoxVgAkWb4/X6cPHkS11xzTVyWnF911VWYnZ1FY2NjzK9NyzM6OoqFhQWUlJSojrJkubm5SE1N5QogHWABBNhsNuTn53MFEF0WDoDWnvr6evT29mJqakp1FCIi0jEWQKQZL730ElJSUnDNNdfE5frr1q1Dfn4+h0FriF4HQANvzZYqKiriCiAdGB4ehtVqRXZ2tuooSkUHQRNdisfjQXZ2NnJyclRHod9paGgAALS0tChOQkREesYCiDRhbm4OBw8exBVXXIHMzMy43CM6DPrUqVPw+XxxuQctzcDAAIQQuh3O63A4WADpwPDwMBwOh+7mTMWa0+lEIBBAMBhUHYU0rru7m6t/NKakpAQ5OTncBkZERCvCAog04eDBgwgGg7j++uvjep9du3bBZDJxGLRGDAwMwG636/aUmaKiIkxMTPCBWuOiBVCyc7lckFJicHBQdRTSsMnJSYyNjXH+j8YIIVBfX4+2tjaEw2HVcYiISKdYAJFykUgEL730EtauXYvS0tK43isrKwsNDQ04dOgQX0BpwODgoC63f0VFB0FzDpB2zc3N4cyZMyyAwJPA6PJE5/+wANKehoYGBINBnDp1SnUUIiLSKRZApNyJEycwNjYW99U/UVdffTWmp6dx4sSJhNyPLmx+fh6jo6O6LoB4FLz2Rf/bsAB6a3B5Wloa5wDRu+ru7obZbI77GzK0dOvWrYPFYuE2MCIiWjYWQKTciy++iLy8PGzYsCEh96upqUFubi6HQSsW3YaixxPAogoKCmAymTgHSMN4AtjvCSHgdDq5AojeVXd3N8rKymA2m1VHoT9gsViwfv16NDc3Q0qpOg4REekQCyBSKhAI4PTp03jPe94DkykxX44mkwlXXnkl2tvbMTo6mpB70jvp+QSwKLPZjIKCAq4A0rChoSFYLBbk5eWpjqIJJSUlGBoa4sMjXVA4HEZfXx+3f2lYfX09RkdH+XOHiIiWhQUQKdXR0QHg98ebJsqVV14JIQSHQSs0MDCAtLQ03R8zzJPAtG1kZARFRUUJK5i1rqioCPPz85icnFQdhTTI6/UiHA6zANKw6OslbgMjIqLl4CtiUqqzsxPZ2dmw2+0JvW9OTg7q6upw4MABLC4uJvTe9JaBgQGUlJTo/mjuoqIi+P1+fh1p1PDw8Llh3QQUFxcD4NwqujAOgNa+7OxsuFwuNDc3q45CREQ6xAKIlJFSoqOjA9XV1UpKgJ07d2Jqagq9vb0Jv3eyix5FreftX1EOhwORSASBQEB1FPoDwWAQY2Nj50oP+v3JdUNDQ4qTkBZ1d3cjLy8P2dnZqqPQu2hoaEBXVxdmZ2dVRyEiIp1hAUTKDA8PY3p6GuvWrVNy/7Vr1wL4/TuelDijo6MIBoOGKICiD9TcBqY9PAHsnTIyMpCens4VQHRBHo+Hq390oKGhAVJKtLa2qo5CREQ6wwKIlInO/6murlZy/8zMTOTl5bEAUsAIA6CjogUQH6i1hyeAvZMQAkVFRSws6R0mJiYwOTnJAkgHysrKkJGRwTlARES0ZCyASJmOjg7k5+crPZ3H7XazAFJgcHAQQghDPJjbbDbk5OTwgVqDhoeHYTKZUFBQoDqKphQXF/Prld7B4/EAACorKxUnoUsRQqC+vh6tra2cP0dEREvCAoiUiEQiOHXqlLLtX1GVlZWYnJzExMSE0hzJZmBgAIWFhbBaraqjxERRURFXAGnQ8PAw7HY7UlJSVEfRlKKiIszMzGB6elp1FNKQ7u5uWCwWQ6zMTAYNDQ2Ym5s7V9wRERFdDhZApER/fz/Onj2rvACqqKgAAL6ASrDoCWBGES2ApJSqo9B5hoeHDbHKLNaifyYsLel8Ho8H5eXlLEx1Yv369UhJSeFpYEREtCQsgEgJ1fN/opxOJywWC3p6epTmSCbBYBCBQMBQ7zI7HA4Eg0FMTk6qjkK/EwqFEAgEWABdQPTPhNvAKCoUCqG/v5/zf3TEZrOhqqqKc4CIiGhJWACREp2dnXA4HMjMzFSaw2w2o6ysjHOAEmhwcBCAMQZAR/GBWnt8Ph+klCyALiAnJwdWq5Vfr3SO1+vF4uIi5//oTENDA0ZGRuD3+1VHISIinWABRAkXDodx+vRp5du/otxuN7xeL8LhsOooScFIJ4BF8Sh47eER8BfHk8DoD0W3QXMFkL7U19cDALeBERHRZWMBRAnX29uLhYUFTRVA4XAYXq9XdZSkMDg4CJvNhtzcXNVRYiYjIwNpaWmcqaIhw8PDEELAbrerjqJJDoeDBRCd093djfz8fGRkZKiOQktQUFAAh8PBAoiIiC4bCyBKuI6ODgghUFVVpToKgN8PguY2sMTo7++H0+mEEEJ1lJiJHmnPAkg7hoaGUFBQAIvFojqKJjkcDkxOTuLs2bOqo5BiUkp4PB5u/9Kp+vp6nDp1CvPz86qjEBGRDrAAooTr6OhAaWkp0tLSVEcBAGRnZyM3N5eDoBNASonBwUFDbf+K4pYabRkZGeH2r3fBk8AoamxsDFNTU9z+pVMNDQ1YXFxEW1ub6ihERKQDLIAooRYWFtDd3a389K8/5Ha7eRR8AoyPj2N+ft5QR8BHFRUVYXp6GrOzs6qjJL3FxUX4fL5zs5nonTi4nKKiq1+5AkifKisrkZaWhhMnTqiOQkREOsACiBLK4/FgcXFRM/N/otxuNyYmJniMd5wZcQB0FFdUaEcgEMDi4iKKi4tVR9Gs/Px8mM1mFkCE3t5eWCwWQxbzycBkMqG2thatra2QUqqOQ0REGscCiBKqo6MDJpMJa9asUR3lbaJL3zkHKL4GBgYghDDkgwZXVGhH9L8Bt4BdnMlkgt1uZ2FJ8Hq9cLlcMJn4klCv6uvrMT09jb6+PtVRiIhI4/jTnhKqo6MDFRUVsFqtqqO8jcvlgtlsZgEUZwMDAygoKNDcf/9YyM3NhcViYQGkAdH/BtwC9u4cDgeGhoZUxyCFIpEIvF4vysrKVEehFairq4MQgqeBERHRJbEAooQ5e/Ys+vr6NLf9CwDMZjNKS0tZAMXZwMCAIVf/AFxRoSXDw8PIzc01ZNEYSw6HA2NjYwiFQqqjkCI+nw/BYBClpaWqo9AKpKeno6KiggUQERFdEgsgSpjTp09DSqnJAgh4axtYX18fwuGw6iiGFAwGEQgEDDn/J4pHwWvD8PAwt39dBofDASklv2aTmNfrBQCuADKA+vp69PX1YWpqSnUUIiLSMBZAlDAdHR2wWCyaPWq2srIS4XD43KBiiq2RkRFIKQ09mLeoqIgrKhSLRCI8Av4ycXA59fX1wWKx8O+LAdTX1wMAWlpaFCchIiIti0kBJIT4LyGEXwjBnzp0UZ2dnVizZg3MZrPqKBdUUVEBgIOg4yX6kGnkB42ioiKuqFBsfHwcoVDI0F9nsVJYWAiTycQ5QEmMA6CNw+l0Ijs7m9vAiIjoXcXqJ/4PAeyJ0bXIgKanpzEwMIDq6mrVUS4qJycHOTk5LIDiZGRkBCaTCQUFBaqjxA1XVKgXLTNYAF2a2WxGQUEBv16TFAdAG4sQAnV1dWhra8Pi4qLqOEREpFExKYCklK8BGI/FtciYOjs7AUCz83+i3G43C6A4GRkZQX5+vmZXgMWC3W6HEIIP1ApF/+x5AtjlcTgcPLkuSXEAtPHU1dVhfn4eHo9HdRQiItIorvmlhOjs7ITNZtP8O41utxtjY2M4c+aM6iiGMzIyYviH8uiKCj5Qq+P3+5Geno709HTVUXTB4XDA5/NxxUAS4gBo41m/fj1SUlK4DYyIiC4qYQWQEOJuIcQxIcSxQCCQqNuSRnR0dKCqqkrzcwaiA6q5Cii2IpEI/H6/4Qsg4K2VJyyA1PH5fLDb7apj6IbD4Tj395OSCwdAG4/NZkNVVRULICIiuqiEPY1LKR+WUm6VUm418gwQeqeJiQn4/X5Nz/+JKi0thdlsRk9Pj+oohjI6OopwOJw0BZDf70ckElEdJSn5/X4WQEsQ/TvJbYvJp6+vjwOgDaiurg7Dw8MYHR1VHYWIiDSIP/Up7vQy/wd4awuPy+XiCqAYS4YTwKIcDgfC4TBffCsQDAYxOTmJwsJC1VF0I1oAcdVacolEIujv7+f2LwPicfBERPRuYnUM/KMADgGoFkIMCCE+FYvrkjF0dHRg9erVKCkpUR3lsrjdbvT29nImRgxFC6BkWJnBB2p1otuYkuHrLFasVivy8vL49ZpkOADauOx2OwoLC7kNjIiILihWp4DdJaV0SCktUkqnlPI/Y3Fd0j8pJTo6OlBdXQ0hhOo4l8XtdiMUCmFgYEB1FMMYGRlBRkZGUgzm5VHw6vh8PgAsgJaKc6uST3QAdHl5udogFBd1dXXo7OzEwsKC6ihERKQx3AJGcRUIBDAxMaGL7V9RHAQde8lwAljUqlWrkJWVxQJIgegKIM6ZWxqHw4GRkRHOrUoi0QHQyfJ9OdnU19cjFAqd24JPREQUxQKI4ir64kMPA6CjcnJykJ2dzUHQMZRMBRDw1gM1V1Qkns/nQ3Z2NqxWq+oouuJwOBAKhTA+Pq46CiUIB0AbW1VVFVJTUzkHiIiI3oE/+SmuOjo6kJ2drauhrEIIVFRUwOPxqI5iCDMzM5idnU2qAii6pUZKqTpKUvH7/br6XqMV0W2LLC2TAwdAG5/ZbMb69evR3NzMn0NERPQ2LIAobqSU6OzsxLp163Qz/yfK7XZjdHQU09PTqqPoXvShMtkKoPn5eZw5c0Z1lKTi8/k4/2cZWAAlFw6ATg719fUYGxvjdmQiInobFkAUN0NDQ5ientbV9q+oyspKAJwDFAvJdAR8FAdBJ97s7CxmZ2dZAC1DWloaMjMzWQAlCQ6ATg51dXUAwNPAiIjobVgAUdx0dHQA0Nf8n6jS0lKYTCYWQDEwMjICi8WC3Nxc1VESJrraiQVQ4kQHQHML2PJwblXy4ADo5JCTkwOn08kCiIiI3oYFEMVNZ2cnCgoKkJeXpzrKklksFpSWlrIAioGRkRHY7XbdbQNciaysLNhsNj5QJxCPgF+ZaAHEeSHGxwHQyaO+vh5dXV04e/as6ihERKQR/OlPcRGJRM7N/9Ert9uN3t5eHo28Qsl2Ahjw1iDx6NHalBh+vx9CCOTn56uOoksOh4Nzq5IAB0Anl7q6OkQiEbS1tamOQkREGsECiOLC6/Vifn5e9wXQwsICBgcHVUfRrVAohLGxsaQrgABuqUk0n8+HvLw8mM1m1VF0iYOgk0N0ADQLoOTgdruRlpbGbWBERHQOCyCKi1OnTgEAqqqqFCdZPrfbDYCDoFfC7/dDSpmUBVBRURHOnDnDpfcJwhPAVoYFUHKIDoBmAZQcTCYTamtr0dLSwu2dREQEgAUQxYnH40FBQQEyMzNVR1m23NxcZGZmsgBagWQ8Aj6Kg6ATR0oJv9/PAdArkJGRgbS0NBZABscB0Mmnvr4e09PT6OvrUx2FiIg0gAUQxZyUEh6P59xR6nolhIDb7WYBtAIjIyMQQiTlygyuqEicqakpBIPBpPw6i5Xo3Cp+vRobB0Ann9raWggh0NLSojoKERFpAF8BUMwFAgFMT09jzZo1qqOsmNvtht/vx8zMjOooujQyMoLc3FykpqaqjpJw+fn5MJvNXAGUANEj4FkArQwHlxsbB0Anp9WrV6OiooJzgIiICAALIIoDj8cDALpfAQRwDtBKJeMJYFEmkwmFhYVcUZEA0SPguQVsZRwOB6anp1l4GxQHQCev+vp69Pb2YmpqSnUUIiJSjAUQxZzH40FaWtq5LTB6VlZWBpPJxAJoGaSU8Pl8SVsAAVxRkSg+nw9msxm5ubmqo+gaty0aW3QGDAug5FNfXw8AaG1tVZyEiIhUYwFEMdfV1QW32w0hhOooK5aamgqXy4Wenh7VUXRnYmICCwsLSV0AFRUVIRAIIBQKqY5iaH6/HwUFBZxrskIcXG5sXq+XA6CTlNPpRFZWFreBERERCyCKrdnZWQwPDxti+1dURUUFenp6EIlEVEfRlehDZDI/bDgcDkgpEQgEVEcxNJ/Px+1fMZCbmwur1coVQAbFAdDJSwiBuro6tLW1YXFxUXUcIiJSiK8CKKaiW6WMMAA6yu12IxgMYmhoSHUUXWEB9PvfOx+o4ycSiSAQCHAAdAwIIVBUVMSvVwPiAGiqr6/H2bNnz81pJCKi5MQCiGLK4/HAZDKhvLxcdZSYiQ6C5jawpRkeHkZaWhoyMjJUR1GmqKgIQgg+UMfRxMQEwuEwC6AY4VHwxsQB0LR+/XqkpKRwGxgRUZJjAUQx1dXVhdLSUkMd+52fnw+bzYaBgQHVUXQlegKYEWZBLZfFYkFeXh5nqsQRTwCLraKiIkxMTGB+fl51FIohDoAmm82GtWvXoqWlRXUUIiJSiAUQxUw4HEZvb6+h5v8Ab22LcDqdLICWKJmPgD8ft9TEl9/vBwCuAIqR4uJiABwEbTQcAE3AW9vAhoaGMDo6qjoKEREpwgKIYqa/vx+hUMhQ83+iogWQlFJ1FF2Ym5vD1NQUHzbwVgHk9/v5tRMnPp8PVqsVmZmZqqMYAudWGVNfXx9KS0s5ADrJNTQ0AAC3gRERJTG+EqCYiQ4WNNoKIOCtAmh+fh7j4+Oqo+hCdFsOC6C3tiYtLCxgcnJSdRRDip4AlsxbDWOpoKAAZrOZBZCBRAdAl5aWqo5CihUWFsJut+PkyZOqoxARkSIsgChmurq6kJ+fj6ysLNVRYs7pdAIAt4FdJp4A9nvRrUnRrUoUW36/n9u/YshkMqGwsJAFkIFwADSdr6GhAadOneKcLyKiJMUCiGJCSgmPx2PI1T/AW3MxhBDo7+9XHUUXRkZGkJKSgoKCAtVRlIsOJ2YBFHvhcBijo6McAB1jPAnMWDgAms7X0NCAcDiM9vZ21VGIiEgBFkAUE6Ojo5iamjLk/B8AsFqtKCgowODgoOooujA8PIzCwkLOmwCQk5MDi8Vyblscxc7Y2BiklFwBFGMOhwOjo6MIhUKqo1AMcAA0na+yshJpaWncBkZElKT4dEYxYeT5P1E8Cezy8QSw3xNCoKCggCuA4iBaqrEAii2HwwEpJUtLg+AAaDpfSkoKamtr0dzczMMJiIiSEF8NUEx0dXVh1apV544QNiKn04lAIIBgMKg6iqYtLi4iEAiwADqP3W7nw3QcRP9MuQUsthwOBwCeBGYEHABNF9LQ0IDp6Wn09vaqjkJERAlmVh2AjMHj8cDtdhv6JB6n0wkpJQYHB+F2u1XH0axAIIBIJMIC6DyFhYU4efIkIpEI34WPIb/fj/T0dKSnp6uOYih2ux1CCBZABsAB0HQhtbW1MJlMOHnyJCoqKlTHISKKGyklzp49i2AwiPn5+Xf934uLi/jQhz6kOnLcsQCiFZubm8PQ0BCuuOIK1VHiKnoSGAugd8cTwN7JbrdjcXER4+PjyM/PVx3HMHw+H7d/xYHZbEZBQQELIAPgAGi6kPT0dFRWVuLkyZP4wAc+oDoOEdGKnD17FqOjoxgdHUUgEMDY2BgCgQBGR0cxNjaGcDh8yWukpKQgLS0Nt99+u6EXNAAsgCgGuru7ARh7/g8A5ObmwmazcQ7QJbAAeqfoFiWfz8cCKIb8fj+qq6tVxzAkngRmDF6vF6mpqfx+TO/Q0NCAX/7ylxgfH0dubq7qOERElxQKheD1etHT04Pe3l74/X4EAgHMzc297fPS0tKQn5+PkpISbNiwAVlZWbDZbBf8sFqtWLVqFczm5KlFkud3SnHj8XhgMplQXl6uOkpcCSE4CPoyjIyMIDs7GzabTXUUzYiuUvH7/aitrVWcxhiCwSAmJia4AihOHA4HWlpasLi4iJSUFNVxaJn6+vrgcrm49ZTeIVoANTc345prrlEdh4jobaSU8Pv96OnpOffR39+PSCQC4K035h0OB8rLy5Gfn4/8/HwUFBQgLy8PaWlpitNrGwsgWrGuri64XC5YrVbVUeLO6XTi8OHDkFIafnngcg0PD/Pd5j+QkZEBm83GQdAxFAgEAHAAdLw4HA4OdNe5SCQCr9eLK6+8UnUU0iC73X5uPh0LICJSTUqJ3t5etLS0nCt8oit7rFYrKioqcPPNN6OiogIVFRXIzMxUnFi/WADRiiwuLqKnpwe7d+9WHSUhnE4n5ufnMT4+jry8PNVxNEdKiZGREezYsUN1FE0RQqCwsJBHwcdQ9M+SK4DiI1r6sNDVL5/Ph4WFBc7/oQsSQqC+vh6vvvoqgsFgUryJR0TaEgqF0N7ejpMnT+LEiROYmpqCEALFxcXYvHkz3G43KioqUFRUxJWsMcQCiFakv78foVDI8PN/oqKDoAcGBlgAXcDU1BTm5+f5wHgBdrsdPT09qmMYBo+Aj6/o3+HoTC/SHw6ApktpaGjAiy++iI6ODmzYsEF1HCJKAtPT02hubsaJEyfQ1taGhYUF2Gw21NbWYsOGDairq+PprnHGAohWxOPxADD+AOio4uJiCCHQ39/PF0sXwAHQF1dYWIhjx44hHA4n1aC5ePH7/cjOzua71nFis9mQk5PDAkjHOACaLmXNmjWw2Ww4efIkX9MQUdyMj4/jjTfewIkTJ9Dd3Q0pJXJycrBr1y5s2LABVVVVfG2cQPyTphXp6upCXl4esrOzVUdJCKvVioKCAgwODqqOokksgC7ObrdDSonR0VH++cSAz+fj6p84Kyoq4klgOtbX1wen08ll83RRZrMZdXV1OHnyJGcbElFMRSIRNDc347XXXkNrayuklHC5XHjve9+LDRs2wOVy8XuOIiyAaNmklPB4PEl3DDNPAru4kZERWK3WpCkElyJaVvj9fhZAMeDz+bBp0ybVMQzN4XDgwIEDfDDUISkl+vv7sXPnTtVRSOPq6+tx7NgxeL1ebhckohWbmJjA/v37sX//fkxOTiIzMxN79+7FlVdeifz8fNXxCCyAViQcDgNA0i5ZGxsbw5kzZ5Jm+1eU0+lEY2MjhyZewMjICIqKiviweAHRAognga3c3NwcZmZmuAIozhwOB4LBICYnJ5GTk6M6Di1BIBBAMBhEaWmp6iikcXV1dRBC4OTJkyyAiGhZIpEIWlpa8Prrr6O5uRkAUFNTgzvvvBMNDQ1ISUlRnJDOl5zNRQyMjY3hH//xH/GhD30Iu3btUh1Hiej8nzVr1ihOklhOpxNSSgwODsLtdquOoykjIyNYu3at6hialJ6ejvT0dJ4EFgM8ASwxzj8JjAWQvni9XgCAy+VSnIS0bvXq1XC73Th58iTe9773qY5DRDpy5swZvP7669i/fz8mJiaQmZmJPXv24KqrruJqHw1jAbRMubm5SEtLw9GjR5O2AOrq6oLNZkNxcbHqKAkVPQmMBdDbBYNBjI+Pc3vTu7Db7VwBFAM8ASwxHA4HgLcKoJqaGsVpaCm8Xi9SUlKS7uczLc+GDRvwq1/9CpOTk9zCTUSXNDk5iWeffRavv/46wuEw1q9fjzvuuAMbNmzgah8diEkBJITYA+DfAKQA+L6U8p9jcV0tE0Jg+/btePrpp5P2B6bH44Hb7U66AZO5ubmw2WycA/QHog/lLIAurrCwEJ2dnapj6J7f74cQAgUFBaqjGNrq1auRlpbGk8B0qL+/H8XFxUm7RZ2Wpr6+Hr/61a/Q3NyMq6++WnUcItKo84ufSCSCXbt24eabb+Ybcjqz4id3IUQKgH8HsBdADYC7hBBJ8Vbh9u3bIaXEsWPHVEdJuLm5OQwNDSXd/B/grfKPg6DfiSeAXZrdbsfExAQWFhZUR9E1n8+HvLw8PtzGmRACDoeDJ4HpTHQANLd/0eVyOBzIy8vDyZMnVUchIg2anJzEz372M3zpS1/Cq6++ih07duAf/uEf8LGPfYzljw7F4tXzNgBdUspuABBCPAbgAwDaYnBtTbPb7SgrK8ORI0dwww03qI6TUD09PZBSJt38nyin04nDhw/zdJzzjIyMQAjBHwTv4vyTwKJbCWnp/H4/5/8kSFFRER8KdWZychLT09McAE2XTQiBhoYG7N+/HwsLC0hNTVUdiYg0YHJyEvv27cNrr72GSCSCnTt34pZbbuF8H52Lxd6dEgD95/3zwO/+v6Swbds2eL3epFsi39XVBZPJhIqKCtVRlHA6nZifn8f4+LjqKJoxMjKCgoICrsp4F9HSgoOgl09KCZ/Px6IxQRwOB6anpzE7O6s6Cl2m/v63XpKxAKKlaGhoQCgUQkdHh+ooRKTYmTNn8Pjjj+N//a//hVdeeQXbt2/HP/zDP+DjH/84yx8DiEUBdKHlD/IdnyTE3UKIY0KIY4FAIAa31YYrrrgCQggcOXJEdZSE8ng8cDqdSXsMenT1BreB/V70CHi6OB4Fv3LT09OYn5/nCqAEOX8QNOmD1+s9t1WZ6HJVVVXBarWeO8KZiJJPOBzGM888gy996Ut4+eWXsW3bNhY/BhSLAmgAwPkbzZ0Ahv7wk6SUD0spt0optxppcGdWVhbWrVuHo0ePQsp39F6GtLi4iJ6enqSc/xNVXFwMIcS5d1qTXSQSgc/nYwF0CVarFVlZWVwBtAI8ASyxzj8KnvShv78fhYWFSfsGDS2P2WxGTU0NTp48mTSvZ4no99rb2/HVr34VTz75JOrq6vDVr36VxY9BxaIAegPAWiFEhRAiFcCdAH4dg+vqxvbt2zE6Ooru7m7VURJiYGAACwsLSTv/B3jrQb6goACDg4Oqo2jC2NgYwuEwC6DLwKPgVyZannEFUGLk5eXBYrEk3TZnPfN6vdz+RcvS0NCAyclJrm4mSiITExN4+OGH8c1vfhNSSjzwwAP47Gc/y5NWDWzFBZCUMgzgfgD7ALQDeFxK2brS6+rJpk2bYLFYcPToUdVREqKrqwsAknoFEACeBHYengB2+QoLC7kCaAV8Ph/MZjNyc3NVR0kKQggUFRVxBZBOzM7OYnx8nCeA0bLU19dDCIETJ06ojkJEcRYOh/Hcc8/hK1/5Ck6ePIkPfOAD+PKXv4za2lrV0SjOYjKtVUr5NICnY3EtPbLZbNiwYQOOHTuGO+64AykpKaojxZXH40Fubi5ycnJUR1HK6XSisbERwWAw6ZfaswC6fHa7HdPT0zh79ixWrVqlOo7u+P1+FBQUwGSKxQJWuhxFRUVJs8JV7zgAmlYiIyMDFRUVaG5uxq233qo6DhHFSWdnJx599FEMDw9jw4YNuOOOO7jVK4nwFXSMbN++HTMzM2hra1MdJa6klPB4PEm/+gd4qwCSUnIbGN4qgDIyMpCenq46iuadfxQ8LR1PAEs8h8OBsbExBINB1VHoErxeLwBwBRAtW319PXp7e3HmzBnVUYgoxs6cOYPvf//7+MY3voFQKIT77rsP9957L8ufJMMCKEZqamqQnp5u+NPAxsfHMTk5mdTzf6KiJ6ywAOIJYEvBk8CWT0oJv9/P+T8JFj0JjKWl9nm9XuTk5GD16tWqo5BONTQ0AABaWloUJyGiWJFS4uDBg/jyl7+MxsZG3Hrrrfjf//t/n/v7TsklJlvA6K3TE7Zs2YJDhw5hfn4eNptNdaS48Hg8ADj/BwByc3Nhs9k4BwhvFUCbNm1SHUMXCgoKIITgw/QyjI+PIxwOcwVQgp1/EhhXlmhbf38/t3/RipSUlCAnJwcnTpzAlVdeqToOEa3Q7OwsfvzjH6OxsRFVVVX4+Mc/zgHPSY4rgGJo+/btCIVCaGpqUh0lbk6fPg2bzYaSkhLVUZQTQnAQNICZmRnMzMxwBdBlslgsyM3N5QqgZeAJYGoUFhbCZDJxELTGBYNB+Hw+lnS0IkIIbNiwAe3t7QiFQqrjENEKRI92P3nyJG677TZ87nOfY/lDLIBiqbKyEnl5eYY+Day9vR1VVVUcwPo70QJISqk6ijIcAL10PAlseaKlGVcAJZbZbEZBQQGPgte46M8irgCilaqvr8fCwgI6OztVRyGiZQiFQnj88cfxzW9+E6tWrcIXv/hF3HTTTRBCqI5GGsCn+BgSQmDbtm1oa2vD1NSU6jgxFwgEEAgEUFNTozqKZjidTszPz2NsbEx1FGWiqwJYAF0+u90On8+X1MXhcvj9flitVmRlZamOknR4FLz28QQwipV169bBZrOhsbFRdRQiWqLBwUF87Wtfw4svvohrr70WX/rSl7gylN6GBVCMbd++HVJKHDt2THWUmGtvbwcAFkDn4SDotwqg1NRU5OXlqY6iG4WFhTh79ixmZmZUR9GV6AlgfAcr8RwOB/x+PyKRiOoodBFerxfp6enIzs5WHYV0zmw2o76+HidOnODfeSKdkFLixRdfxD/90z9henoaf/EXf4E777wTFotFdTTSGBZAMeZwOOByuQx5Glhrayvy8vK4/eI8xcXFEEKce+c1GQ0NDcHhcPChfAmiM2y4DWxpeAKYOg6HA4uLiwgEAqqj0EVEB0DzezHFwsaNGzE9PX3u8A8i0q7JyUn827/9Gx5//HHU1NTgy1/+Murq6lTHIo1iARQH27ZtQ29vr6Ee7hYXF9HR0YGamhq+uDyP1WpFQUFBUq8AGhwcRHFxseoYusKj4JducXERo6OjLKAVOf8kMNKecDiMwcFBbv+imKmrq4PZbOY2MCKNa25uxle/+lV0dXXhox/9KO69915kZGSojkUaxgIoDrZt2wYhhKFWAfX29mJ+fp7bvy4gmU8Cm52dxdTUFAugJcrPz4fJZDJUSRxvo6OjiEQiXAGkCAsgbRseHsbi4iLnPFDM2Gw21NTUoLGxkfPqiDRISomnn34a//7v/47c3Fz8/d//PXbv3s036umSWADFQXZ2Nqqrq3H06FHD/NBsa2uDEALr1q1THUVznE4nAoEAgsGg6igJNzQ0BAAsgJbIZDIhPz+fK4CWgCeAqWWz2ZCdnc2TwDSKA6ApHjZt2oTx8fGk3uZOpEXBYBAPP/ww/ud//gfbtm3D3/zN3/ANMrpsLIDiZNu2bfD7/ejr61MdJSba2tpQUVGBtLQ01VE0x+l0QkqZlNvAoqsBWAAtnd1u5wqgJYj+WfEFjjoOh4MrgDTK6/XCarWyIKWYamhogBCC28CINGR0dBT/8i//gsbGRtx+++345Cc/yUHPtCQsgOJk8+bNMJvNOHz4sOooKzY3N4eenh5u/7qIZD4JbHBwEDabDTk5Oaqj6E5hYSH8fr9hVgnGm8/nQ3p6OtLT01VHSVpFRUUYGRnh16wGeb1eOJ1OLv2nmFq9ejWqqqpYABFpREdHB/7pn/4JExMTeOCBB3DjjTfy+z4tGQugOFm1ahUaGhpw7Ngx3R+h2dHRASklC6CLyM3Nhc1mS8o5QENDQ+dOQqOlsdvtWFhYwJkzZ1RH0QWfz8fVP4o5HA4Eg0FMTk6qjkLnkVJiYGCA278oLjZt2oTh4WFu/yRSKHrE+7/9278hMzMTX/ziF/lcRsvGAiiOtm/fjunpabS3t6uOsiJtbW2w2WyoqKhQHUWThBBJOwh6eHgYDodDdQxd4klgS+Pz+c4NIiY1on/XuQ1MW/x+P4LBIAdAU1xs3LgRALgKiEiRUCiEH/3oR3j88cfR0NCAv/3bv+V2X1oRFkBxVFdXh7S0NF2fBialRFtbG9avXw+TiV8uFxMtgJJpa8T09DSmp6dRUlKiOoouRVezcA7Qpc3Pz2NycpIrgBTjSWDa5PV6AXAANMVHTk4OysvL0dTUpDoKUdKZnJzEv/7rv+LQoUN43/veh89+9rOw2WyqY5HO8Yk+jsxmM7Zs2YKmpibdnhDl9/sxNjbGZYaX4HQ6MT8/j7GxMdVREoYngK1MTk4OLBYLVwBdhuifEQsgtTIyMpCWlsatIBrT39+PlJQUrsakuNm0aRN6e3sxMTGhOgpR0uju7sb//b//F8PDw7jnnntw6623cuQCxQQLoDjbtm0bgsEgTpw4oTrKsrS1tQEAC6BLSMZB0NECiA8dyyOEQEFBAVcAXYZo4cAtYGoJIeBwOFgAaYzX60VxcTHMZrPqKGRQmzZtAgCuAiJKkBMnTuAb3/gGrFYr/vZv//bcVkyiWGABFGdr165FTk6ObreBtbW1obCwEPn5+aqjaFp0EHJ/f7/qKAkzNDSEtLQ0ZGVlqY6iW3a7nSuALoPP54PJZEJBQYHqKEmvqKiIW8A0REqJ/v5+bv+iuLLb7XA4HHjzzTdVRyEyvP379+Ohhx5CSUkJ/vZv/5Yr7SnmWADFmRACO3bsQGtrq+5O+wmHw+js7OTqn8tgtVpRUFCQdCuAeALYyhQWFiIQCOj+pMB4GxkZQX5+Plc4aIDD4cD09DRmZ2dVRyG8NR9iZmaGBRDF3aZNm3D69GnMzMyojkJkSFJKPPPMM/jxj3+MmpoafO5zn8Pq1atVxyIDYgGUADt37oSUUnergLq7uxEMBlkAXaZkOglMSnmuAKLls9vtWFxcxPj4uOoomsYj4LUjuuWT28C0IToAmieAUbxt2rQJUkrdjjQg0jIpJX72s5/hySefxPbt23HvvffCarWqjkUGxQIoAex2OyoqKnDo0CFdnRLV1tYGk8mE6upq1VF0wel0IhAI6Hbg91JMTU1hbm6OBdAK8Sj4S5NS8gh4DeFJYNrS398PIcS5OXRE8eJyuZCXl8c5QEQxFg6H8f3vfx8vv/wybrjhBnzyk5/kimeKKxZACbJz504MDQ3pakZMW1sb3G43jxu8TE6nE1LKpNgGxhPAYoNHwV/a+Pg4QqEQVwBpRF5eHiwWCwsgjfB6vSgsLOQ7xRR3Qghs2rQJbW1tmJ+fVx2HyBDm5+fx4IMP4tixY7jttttw++23c7QCxR0LoATZunUrzGYzDh06pDrKZZmenobX60Vtba3qKLqRTCeBsQCKjYyMDFitVq4Aehc8AUxbhBAoKiriFjCN8Hq9nP9DCbNx40aEw2G0tLSojkKke9PT0/jGN76Bzs5OfOITn8BNN93E8ocSggVQgqSnp6OhoQFHjx5FOBxWHeeSOjo6IKXk/J8lyM3Nhc1mS4o5QENDQ1i9ejUyMjJUR9E1IQTsdjtXAL2LaDnGAkg7eBKYNszOzmJiYoIFECVMZWUlMjIy0NjYqDoKka6Njo7i61//OoaGhnDvvfdi586dqiNREmEBlEA7d+7EzMwMWltbVUe5pLa2NqSlpfGF5RIIIeByuc4N5TQyDoCOncLCQq4Aehc+nw9paWk8CUNDHA4HxsfHsbCwoDpKUuMAaEo0k8mEjRs3orm5GaFQSHUcIl0aGBjAv/zLv2BmZgaf+9znUF9frzoSJRkWQAlUW1uLjIwMzW8Dk1Kira0N69evh8nEL5GlKC0txcDAgKGP9eYJYLFlt9sxNjami5WBKoyMjMBut3NZtIY4HI5zw7lJnWgBxDdqKJE2bdqEYDCIjo4O1VGIdKe3txf/+q//ipSUFHzhC1+A2+1WHYmSEJ/uEyglJQXbt2/HyZMnMTs7qzrORQ0PD2NycpLbv5bB5XJhYWHB0Ft6JicnMT8/zwIoRgoLCyGlxOjoqOoomhQtgEg7eBKYNvT39yM3Nxfp6emqo1ASqa6uhs1m4zYwoiXq7e3FN7/5TaSnp+MLX/gCHA6H6kiUpFgAJdjOnTuxuLiIN954Q3WUi2prawMAFkDLEF2Kb+RtYBwAHVvRo+CNXBouVzAYxOTkJOf/aExhYSGEECyAFPN6vdz+RQlnNpvR0NCAEydOGHq1M1EsnV/+fP7zn0dubq7qSJTEWAAlmNPphNPp1PQ2sLa2NhQVFfGb0zI4HA6YzWb09/erjhI30VPOWADFRnR1C7fTvBMHQGuT2WxGQUEBTwJTKBgMwu/3c/sXKbFp0ybMzMygq6tLdRQizWP5Q1rDAkiBnTt3ore3V5PvnoZCIZw6dYqrf5YpJSUFJSUlhl4BNDw8jMzMTG47iJH09HSkp6dzBdAFRAsGbgHTHofDocmfYcliYGAAUkoWQKREbW0tLBYLt4ERXQLLH9IiFkAKbNu2DSaTSZOrgLq6uhAKhVgArUBpaSm8Xi+klKqjxAUHQMee3W7nCqAL8Pl8EEKc2yZH2lFUVAS/388tIIrwBDBSyWq1oqamBo2NjYZ9rUO0Uix/SKtYACmQmZmJ2tpaHDlyRHMvntva2pCSkoKqqirVUXSrtLQUc3NzGB8fVx0l5qIngJWUlKiOYiiFhYVcAXQBIyMjyM/Ph9lsVh2F/oDD4cDi4iICgYDqKEmpv78fq1evRnZ2tuoolKQ2bdqEiYkJQ694Jloulj+kZSyAFNm5cycmJyc1d4xmW1sbKisrYbVaVUfRLSMPgh4bG8PCwgJPLogxu92OiYkJLCwsqI6iKTwBTLui3wM4B0iN6ABoIYTqKJSkGhoaYDKZuA2M6A+w/CGtYwGkSENDA9LS0jS1DWxqagoDAwOora1VHUXXnE4nTCaTIQdB8wSw+OBJYO8kpYTP5+MAaI3iUfDqhMNhDA0Ncf4PKZWeno6qqioWQETnYflDesACSBGLxYKtW7eisbER8/PzquMAANrb2wHw+PeVslgsKCoqMuQKIBZA8RFd5cIC6PcmJiYQCoVYAGmUzWZDdnY2CyAFhoeHsbi4yAKIlNu0aRNGRkb4fYAILH9IP1gAKbRz506EQiEcP35cdRQAQGtrK1avXs2hkjFQWlpq2BVAOTk5WLVqleoohlJQUACAR8GfL/pnwS1g2uVwOLgFTAEOgCat2LhxIwBwFRAlPa/Xy/KHdIMFkEIVFRWw2+2a2AYmpUR7ezvWr1/PmQIx4HK5MDk5iampKdVRYoongMWHzWZDVlYWVwCdJ1oscAWQdhUVFWFkZISnACWY1+uF1Wrl6XikXHZ2NtasWYOjR4/y+wAlLZ/Ph3/7t39DWloayx/SBRZACgkhsHPnTpw+fRqjo6NKswwODmJqaorbv2IkujTfSKuAIpEIRkZGWADFSWFhIVcAnWdkZAQ2mw0ZGRmqo9BFOBwOzM/PY3JyUnWUpNLf388B0KQZ27Ztw/DwMAYHB1VHIUq4iYkJfPOb34QQAn/1V3/F8od0gQWQYjt27IAQQvkqoLa2NgCc/xMrTqcTgLFOAhsdHUUoFGIBFCc8Cv7togOg+ZCrXTwJLPEikQgGBga4/Ys0Y8uWLTCZTDh69KjqKEQJNTMzg29+85uYm5vDX/7lX3JVJukGCyDFcnJyUF1djcOHDytdPtvS0oLi4mJkZ2cry2AkaWlpyM/PN1QBxAHQ8WW32zE9PY25uTnVUTRhZGSE2780jieBJZ7P50MwGERZWZnqKEQAgNWrV6O2tpbbwCipzM/P49vf/jbGxsZw//33s5QnXWEBpAE7d+7E6Ogourq6lNx/YGAAnZ2d2LJli5L7G5XRBkFHC6Dou/4UW9GHaW4DA4LBICYmJjgAWuMyMjKQlpbGAiiB+vr6AIAFEGnK9u3bMTExoex1LFEihcNhPPTQQ/B6vbj77ruxdu1a1ZGIlmRFBZAQ4kNCiFYhREQIsTVWoZLNpk2bYLValW0De+aZZ2Cz2XDdddcpub9RlZaWIhAI4OzZs6qjxMTQ0BDy8vJgtVpVRzEkrqb4vehWOK4A0jYhBE8CSzCv1wuLxcK/G6QpDQ0NSE1N5TYwMrxIJILvf//76OjowJ/+6Z+ioaFBdSSiJVvpCqAWAB8E8FoMsiQtq9WKLVu24Pjx41hYWEjovUdGRnD8+HFce+21SEtLS+i9jS66HNQoq4B4Alh8FRQUwGw282EaPAFMT4qKilhaJlBfXx9cLhdMJi7gJu2wWq3YuHEjjh8/jnA4rDoOUVxIKfHII4+gsbERd9xxB3bs2KE6EtGyrOgVhJSyXUrZGaswyWznzp2Yn59HY2NjQu/7zDPPwGw24/rrr0/ofZOBkU4CW1xchM/nYwEURyaTCYWFhXyYxlsFkBACBQUFqqPQJTgcDkxPT2N2dlZ1FMOLRCLo7+/n9i/SpO3bt2N2dvbcoSJERvPEE0/gwIEDuOWWW/jcRLrGt5A0Yu3atcjLy0voNrDR0VEcPXoU11xzDY9ajoPMzExkZWUZYhC03+9HOBxmARRnDoeDBRDemoOUl5cHi8WiOgpdQnSVFleuxR8HQJOWrV+/Hunp6Thy5IjqKEQx99xzz2Hfvn3YvXs33v/+96uOQ7QilyyAhBAvCCFaLvDxgaXcSAhxtxDimBDiWCAQWH5igxJC4Oqrr0Z7ezs6OxOzqOrZZ5+FyWTCjTfemJD7JaPS0lJDFEDRUoIFUHw5HA6Mjo4iFAqpjqIUTwDTj+hQ+OiQeIqf6M8SFkCkRSkpKdi6dStOnDiB+fl51XGIYubAgQP45S9/ia1bt+Kuu+6CEEJ1JKIVuWQBJKW8QUpZd4GP/1nKjaSUD0spt0opt3JZ/4XdcMMNyM/Px6OPPhr3PdQTExM4ePAgrrrqKh79HkculwsjIyO6f6AfGhqCEIIP5XFWVFQEKWVSnwQW/f3zBDB9iA6GHxwcVB3F8Pr6+jgAmjRt+/btCIVCOHHihOooRDHR1NSEH//4x6itrcUnP/lJzl8jQ+BXsYZYLBbceeedGB4exosvvhjXe+3btw9SStx0001xvU+yKy0tRSQS0f3D0dDQEAoKCpCamqo6iqFFV1Mk83aayclJLCws8CFXJ4QQKCkp0f33OD3gAGjSOrfbjby8PG4DI0Po6enB97//fZSVleEzn/kMzGaz6khEMbHSY+D/WAgxAGAngKeEEPtiEyt51dfXY8OGDfjtb3+LiYmJuNxjamoK+/fvx86dO5GXlxeXe9BbooOg9b4NbGho6Fw5QfFjt9shhEjqOUA8AUx/ogWQlFJ1FMPiAGjSAyEEtm3bhvb2dkxPT6uOQ7Rso6Oj+Pd//3dkZWXh/vvvh9VqVR2JKGZWegrYE1JKp5TSKqW0SylvjlWwZPbhD38YUkr87Gc/i8v1n3/+eYTDYezZsycu16ffy83NRVpamq4LoHA4zBPAEsRisSA/Pz+pC6Do9jduAdOPkpISzM7O4syZM6qjGFZ0AHT0TQUirdq2bRsikQiOHz+uOgrRsszOzuJb3/oWFhcX8cADD/CgHDIcriPWoLy8PLz3ve9FY2MjWltbY3rt2dlZvPrqq9i2bRsKCwtjem16JyEESktLdX0UvN/vRyQSQUlJieooSSHZTwIbGRmBzWZDZmam6ih0maLfG7gNLH44AJr0ori4GCUlJdwGRroUDofx0EMPYWxsDPfeey/fjCJDYgGkUTfeeCPsdjseffTRmA4QfuGFFxAMBrF3796YXZPencvlwsDAABYXF1VHWZboQx23gCVGUVHRudItGY2MjJzbCkf6wAIo/qIDoPl9mPRg+/bt6O7uxujoqOooRJdNSokf/ehHOH36ND7xiU9g7dq1qiMRxQULII0ym8246667EAgEsG9fbEYrzc3N4aWXXsLmzZv5IjKBXC4XwuGwbgf7Dg0NwWQycSZLgjgcDoTDYQQCAdVRlPD5fPxa05n09HRkZ2ezAIojr9fLAdCkG1u3bgUAHD16VHESosv361//GkePHsUf/dEf4YorrlAdhyhu+EpCw9avX4+tW7fi2Wefjcm7KK+88grm5+dxyy23xCAdXa7ozAa9bgMbHh5GYWEhTz9IkGQ+CSwYDGJ8fJwFkA7xJLD4iUQi8Hq93P5FupGXl4e1a9fi6NGjHA5PunDgwAE8/fTTuPrqqzkjlQyPBZDGfehDH4LJZMJjjz22oh+iwWAQL7zwAurr6+FyuWKYkC7FbrcjNTVVt4OgBwcHOQA6gaLlRzLOAfL7/QA4AFqPSkpKMDw8nLRbF+OJA6BJj7Zt24bh4WEWw6R5bW1teOSRR1BbW4u77rqLW9DJ8FgAaVx2djbe9773obm5GSdPnlz2dV599VXMzs5y9Y8CJpMJTqdTlwVQKBRCIBBgAZRAq1atQnZ2dlIWQNETwLgCSH9KSkoQDofPlXgUOxwATXq0efNmmEwmDoMmTRsYGMB//Md/oLi4GHfffTdSUlJURyKKOxZAOnDdddehuLgYP/vZz7CwsLDkXx8KhfD8889j/fr1cLvdcUhIlxI9CUxvS6FHRkYgpeTMqARL1pPARkZGIITgCYU6xEHQ8cMB0KRHq1evRl1dHd544w3dvfah5DA5OYkHH3wQNpsN999/P2w2m+pIRAnBAkgHUlJS8JGPfARjY2N4+umnl/zr9+/fj6mpKa7+UcjlcmF+fl53g32HhoYAgEfAJ1hRUdG58i2ZjIyMIDc3FxaLRXUUWqKioiKYTCYWQHHAAdCkV9u2bcPExAS6urpURyF6m/n5eTz44IM4e/Ys/uIv/gI5OTmqIxElDF9N6MTatWuxY8cOPPfcc+e2SVyOcDiMffv2Yc2aNTzOUCG9DoIeGhpCSkoKV2QkmMPhQDAYxOTkpOooCcUTwPTLYrGgsLCQBVCMSSk5AJp0q6GhAVarldvASFMikQi+973vYXBwEHfffTecTqfqSEQJxQJIR2677Takpqbi0UcfveyVAYcPH8bExATe+973cqiZQsXFxTCZTLqbAzQ0NAS73c490QkW3eqRTNvApJQsgHSOJ4HFHgdAk55ZrVZs3LgRx48fRzgcVh2HCADwy1/+Ei0tLbjrrrtQW1urOg5RwrEA0pHMzEz80R/9Edrb23H8+PFz/7+UEnNzcxgeHkZHRweOHDmC5557Dj//+c/xm9/8BuXl5Vi/fr3C5GQ2m1FSUqLLFUAcAJ14yVgATU5OIhgM8gQwHSspKcHo6CiCwaDqKIbR19cHgAOgSb+2bduGubk5tLa2qo5ChAMHDuCFF17Addddh927d6uOQ6SEWXUAWprdu3fjwIED+OlPf4oXX3wRZ86cwZkzZy74zorFYkFubi7uuOMOrv7RAJfLhebmZkgpdfHfIxgMYnR0FLt27VIdJemsXr0a6enpSVUARbe2sgDSr5KSEkgpMTQ0hIqKCtVxDIEDoEnv1q9fj9WrV+Po0aPYsGGD6jiUxE6fPo2f/OQnqK2txYc+9CHVcYiUYQGkMyaTCR/72MfwyCOPIDU1FWvWrEFWVtYFP6xWqy6KhmRRWlqKgwcP4syZM8jOzlYd55JGRkYAgCuAFBBCnBsEnSyiv1duAdOv808CYwEUGxwATXqXkpKCrVu34sCBA5ifn+dJS6TE6OgoHnroIRQUFODP//zP+T2VkhoLIB0qLS3F3/3d36mOQUsUneHg9Xp1UQBFTwBjAaSGw+FAU1OT6hgJ4/P5YLVakZWVpToKLVN+fj6sVivnAMVIdAD0zp07VUchWpFt27bhlVdeQVNTE3bs2KE6DiWZ6IlfAHDfffchLS1NcSIitVh/EiWI0+mEEEI3g6CHhoZgNptRUFCgOkpScjgcmJmZwfT0tOooCTEyMoKioiKuWtQxIQQcDgcLoBiJDoDm/B/SO7fbjby8PJ4GRgkXPfHL5/PhM5/5DE+1JQILIKKEsVqtKCws1M0g6J6eHjidTi6TVSQ68yNZtoH5fD7O/zGA6Elgl3tSJV1cdAA0TwAjvRNCYOfOnWhvb8fo6KjqOJREzj/xq7q6WnUcIk3gkx1RApWWluqiAAqHw+jp6cGaNWtUR0la0Vk4yTAIemFhAePj45z/YwAlJSVJtXItnrxeLywWC7fhkiFcddVVEELg9ddfVx2FkkT0xK9rr72WJ34RnYcFEFECuVwujI2NYXZ2VnWUd9XX14dwOIy1a9eqjpK0cnNzkZqamhQrgPx+P6SUXAFkAE6nEwC4DSwG+vr6OACaDCMnJwcNDQ04cODABU+uJYql6IlfNTU1uOOOO1THIdIUvqogSqDoUn6trwLq6uoCAFRWVipOkryi81SSYQUQTwAzjvNPAqPliw6A5vYvMpLdu3djeno6qQ44oMSLnviVn5+PT3/60yzRif4A/0YQJdD5J4FpWVdXF4qKipCRkaE6SlIrKipKigLI5/NBCMHhjAawevVqZGZmsgBaIQ6AJiOqqalBfn4+Xn31VdVRyKCiJ35JKXH//ffzxC+iC2ABRJRA6enpyM3N1XQBJKVEV1cX5/9ogMPhwMTEBObn51VHiSufz3duyxvpX3QQNC0fB0CTEQkhsHv3bpw6dSop3tygxOKJX0SXhwUQUYK5XC5NbwEbGhrC3Nwc5/9oQHRLlNHnAI2MjHD+j4GUlJRgaGgIkUhEdRTd4gBoMqpdu3YhJSWFw6Ap5p588km0tLTgzjvvxLp161THIdIsFkBECVZaWnpueb8WRef/cAWQetGHPyMXQFJKFkAGU1JSglAohEAgoDqKbvX19cHpdHJ2BRlORkYGNm/ejEOHDmFhYUF1HDKIo0ePYt++fdi9ezeuueYa1XGINI2vLIgSrLS0FFJKDAwMqI5yQadPn0Z2djby8vJUR0l6BQUFSElJwdDQkOoocXPmzBkEg0EOgDYQDoJeGSkl+vv7Of+HDOuaa67B3Nwcjh07pjoKGUBfXx/++7//G2vXrsWHP/xh1XGINI8FEFGCuVwuANodBB2d/yOEUB0l6ZlMJhQWFhp6BRBPADOe4uJiCCFYAC2T3+/H/Pw8CyAyrDVr1sDhcHAYNK3Y1NQUHnroIWRkZOAzn/kMzGaz6khEmscCiCjBsrOzsXr1ak3OARobG8PExAS3f2mI0Y+C9/l8AMAtYAZisVhQWFjIAmiZent7AXAANBmXEALXXHMNent7NftmGGlfOBzGd7/7XczMzODee+/lybVEl4kFEFGCCSFQWlqqyRc90fk/HACtHQ6HA4FAAOFwWHWUuPD5fLBarcjOzlYdhWKIJ4EtHwdAUzLYvn07LBYLXnvtNdVRSIeklPjpT38Kj8eDT3ziE+dW1xPRpbEAIlLA7XZjYGAAc3NzqqO8TVdXF2w2Gx88NMThcEBKeW6ljNFEB0Bzy6GxlJSUIBAIaHbYvZZxADQlg7S0NGzbtg1Hjx7F2bNnVcchnXnllVdw4MAB3HLLLdi6davqOES6wlcXRArU1NRASomOjg7VUd4mOv+HDx7aEZ2NY9RtYDwBzJhKSkogpTTs1228cAA0JZNrrrkGwWAQR44cUR2FdKSjowOPP/44Ghoa8P73v191HCLd4VMekQIVFRVYtWoVWltbVUc5Z3Z2FkNDQ5z/ozFFRUUQQhhyEPTc3BzGxsbgdDpVR6EY40lgyxMdAM35P5QMysrKUFZWhtdeew1SStVxSAdGR0fx8MMPw26341Of+hRXDxMtAwsgIgVMJhPWrVuH1tZWzbzo8Xg8AMACSGMsFgvy8vIMuZJiYGAAALh334Dy8/NhsVhYAC1RX18fAHAFECWN3bt3Y3BwEN3d3aqjkMYFg0F85zvfgZQS9957L2w2m+pIRLrEAohIkdraWkxMTGhmZcfp06dhNptRXl6uOgr9AaOeBBY9CY8FkPGYTCYUFxezAFqivr4+WCwWOBwO1VGIEuKKK66AzWbjkfD0rqSU+MEPfoChoSF8+tOfRmFhoepIRLrFAohIkZqaGgBAW1ub4iRv6erqQllZGSwWi+oo9AccDgd8Ph8ikYjqKDHV39+PzMxMZGZmqo5CccCTwJYuOgA6JSVFdRSihLBardi5cyeOHz+OmZkZ1XFIo5566ik0Njbi9ttvP/f6mYiWhwUQkSJ5eXmw2+2amAO0sLCAvr4+bv/SqKKiIoTDYYyOjqqOElP9/f2cdWJgTqcT09PTmJ6eVh1FFzgAmpLV7t27EQ6HcejQIdVRSIMaGxvxm9/8Bjt27MD111+vOg6R7rEAIlKopqYGp06dQigUUpqjt7cXi4uLWLt2rdIcdGHR7SBa2S4YC+FwGENDQ9z+ZWAcBL00HABNyaq4uBhr1qzhMGh6h8HBQfzgBz9AeXk5/uRP/oRDn4ligAUQkUK1tbUIhULo6upSmqOrqwtCCFRWVirNQRcWLYCMNAdoaGgIkUiEBZCBsQBaGg6ApmR2zTXXwO/3o6OjQ3UU0oiZmRl85zvfgc1mwz333MMRBUQxwgKISKGqqiqYzWbl28BOnz6N4uJipKWlKc1BF7Zq1SpkZWUZqgDiAGjjy8jIQEZGBgugy9TX1wez2cwB0JSUNm/ejNWrV+O1115THYU0YHFxEQ8//DAmJydxzz33IDs7W3UkIsNgAUSkkNVqxZo1a5QOgo5EIvB4PNz+pXFGOwmsv78fNpsNBQUFqqNQHJWUlGBgYEB1DF3wer0cAE1Jy2w2Y9euXWhqasLk5KTqOKTYz3/+c3R2duJjH/sYKioqVMchMhQWQESK1dTUYHBwUNkLnoGBAQSDQQ6A1jiHw4GRkRHDzEeIPuxyP7+xlZSUnNvuRxcnpYTX60V5ebnqKETK7N69G5FIBAcOHFAdhRTav38/Xn75Zdxwww3YsWOH6jhEhsMCiEix2tpaAOqOg4/OH2IBpG1FRUWYn5/HmTNnVEdZMSklBgYGuP0rCZSUlCAUChnuBLtY4wBoIqCgoAA1NTV4/fXXsbi4qDoOKeDxePDTn/4UNTU1uO2221THITIkFkBEipWUlCAzM1NZAXT69Gnk5eUhJydHyf3p8hhpEHQgEEAwGGQBlAQ4CPryeDweAOBWB0p61113HSYmJnD06FHVUSjBJiYm8NBDDyEvLw+f/vSnYTLxMZUoHlb0N0sI8f8JITqEECeFEE8IIbJjlIsoaQghUFNTg7a2toRvk5BSoquri6t/dMBIBZDX6wUArnZIAsXFxRBCsAC6hO7ubqSlpXEANCW9uro6uFwuPP3009w6mkQWFhbwne98B6FQCPfeey8PJSGKo5VWq88DqJNSNgA4BeCLK49ElHxqamowOzt77sE4UQKBAKamplgA6UBGRgbS0tIMUQD19/cjJSWFD7tJIDU1FQUFBSyALsHj8cDtdnMmFiU9IQRuvfVW+P1+vPHGG6rjUAJIKfHf//3f6O/vx6c+9Sm+NiCKsxUVQFLK56SU4d/942EAzpVHIko+NTU1ABI/Byg6/4cngGmfEOLcIGi96+/vh8PhgNlsVh2FEqCkpIQF0LuYm5vD0NAQKisrVUch0oQNGzbA6XRyFVCSeO655/DGG2/gAx/4ABoaGlTHITK8WG6u/DMAz8TwekRJIyMjA6WlpWhtbU3ofbu6upCeno6ioqKE3peWp6ioyDArgLj9K3mUlJTA7/cjFAqpjqJJPT09AAC32604CZE2CCHw3ve+FyMjI3jzzTdVx6E4am5uxhNPPIErrrgCe/bsUR2HKClcsgASQrwghGi5wMcHzvucLwEIA/jJu1znbiHEMSHEsUAgEJv0RAZSW1uL7u5unD17NmH3PH36NNasWcNtBzrhcDgwPT2N2dlZ1VGWbWpqClNTU3A6uWA0WZSUlEBKiaGhIdVRNMnj8UAIwQHQROfZtGkTHA4HnnrqKUgpVcehOBgZGcH3v/99uFwufPzjH+drUaIEuWQBJKW8QUpZd4GP/wEAIcSfArgVwEflu3yHllI+LKXcKqXcWlBQELvfAZFB1NTUIBKJoLOzMyH3m5qagt/v5/wfHTHCIGgOgE4+PAns3Xk8HjidTlitVtVRiDQjugpoaGgIjY2NquNQjM3OzuLBBx+ExWLBPffcg9TUVNWRiJLGSk8B2wPgbwC8X0o5F5tIRMnJ7XbDarUmbBtYdP4PCyD9MEIB1N/fDwBcAZRECgoKYLFYWABdQCQSQU9PD+f/EF3Ali1bYLfbuQrIYMLhML773e9iYmIC9957L3Jzc1VHIkoqK50B9CCADADPCyGahBDfjUEmoqRkNpuxbt06tLW1JeSFTldXFywWC1di6Ehubi5SU1N1XwDl5+dj1apVqqNQgphMJhQXF7MAuoDBwUEEg0EWQEQXYDKZ8N73vhcDAwM4efKk6jgUA1JK/PSnP8WpU6fwp3/6p5x9RqTASk8BWyOldEkpN/7u47OxCkaUjGpqajA6OopEzMnq6upCRUUFT2LSESEE7Ha7rk8C4wDo5MSTwC7M4/EAAAsgoou44oorUFhYiN/+9rdcBWQAzz//PA4cOID3vve92LZtm+o4REkplqeAEdEKRY+Dj/c2sPn5eXi9Xh7/rkPFxcW6XQE0Pz8Pv98Pl8ulOgolWElJCaampjA9Pa06iqZ4PB5kZ2dzCwTRRZhMJuzduxderxctLS2q49AKnDhxAr/61a+wZcsWvO9971MdhyhpsQAi0pDCwkLk5+ejra0trvfp6emBlJLzf3SoqKgI4+PjCAaDqqMs2cDAAACwAEpCHAR9YR6PB263m6ffEL2L7du3Iz8/n6uAdGxgYAD/+Z//idLSUnziE5/g9zwihVgAEWlMbW0tOjs7EQ6H43aP06dPQwjBvdc6FB0ErcdtYNEB0CyAkg8LoHeanJzE2NgYt38RXUJKSgr27t2L3t7euL9BRrE3NTWFBx98EKtWrcJ9993HE7+IFGMBRKQxtbW1CAaD52ZDxENXVxdcLhdsNlvc7kHxES2AhoaGFCdZuv7+fmRkZCArK0t1FEqwjIwMZGRknFsFRkB3dzcAzv8huhw7duxAbm4uVwHpTCgUwne+8x3Mzs7i/vvv589/Ig1gAUSkMdXV1TCZTHGbAxQOh9Hd3c35Pzplt9ths9nQ09OjOsqSeb1euFwuLv1OQkIIVFRU6PLrNl48Hg/MZjNXxBFdBrPZjD179qC7uxudnZ2q49BlkFLiRz/6EXp6evBnf/Zn/F5HpBEsgIg0xmazobKyMm7LnPv7+xEKhTj/R6eiD9LR1QN6EQ6HMTw8zBeASayiogLDw8OYm5tTHUUTuru7UV5ezpMYiS7TlVdeiezsbPz2t79VHYUuw1NPPYU33ngDf/RHf4RNmzapjkNEv8MCiEiDamtr0d/fj6mpqZhf+/Tp0wDAAkjH3G43BgcHdTUIemRkBOFwmAVQEovOHOvt7VUbRANCoRD6+vq4/YtoCaKrgE6fPo1Tp06pjkPv4tixY/jNb36DHTt2YM+eParjENF5WAARaVD0OPj29vaYX7urqwuFhYXIzMyM+bUpMdxuNyKRCPr6+lRHuWxerxcAUFpaqjgJqVJeXg4hhO5Wr8WD1+vF4uIiCyCiJbrqqquQmZmJp556SnUUuoje3l788Ic/RGVlJT72sY9x2zeRxrAAItKg0tJSrF69OuZzgMbGxtDW1oZ169bF9LqUWBUVFQCgqwfpgYEBpKamoqCgQHUUUsRms8HhcOjq6zZeokP+eRIj0dJYLBbcfPPN6OjoQFdXl+o49AcCgQAefPBBZGZm4p577uEWVyINYgFEpEFCCKxfvx5tbW0xPe3i5z//OYQQuOWWW2J2TUq89PR02O12XT1Ie71eOJ1OmEz8sZPM3G43enp6kv4UH4/Hg8LCQmRkZKiOQqQ7u3fvRkZGBlcBacz09DS+9a1vIRKJ4IEHHuD3NyKN4itxIo2qra3F9PR0zI5NbmtrQ2NjI2655Rbk5OTE5JqkjtvtRnd3ty4epKWU6O/v5/wfgtvtxtzcHPx+v+ooykgp4fF4uP2LaJlSU1Nx0003oa2t7dxcQ1IrGAziwQcfxMTEBO677z4UFRWpjkREF8ECiEijonOAYrENLBwO47HHHkNhYSFuvPHGFV+P1HO73ZiensbY2JjqKJc0NjaG+fl5FkB0bsuTnlavxVogEMD09DQLIKIVuOaaa5CXl4ef/OQnCIfDquMktcXFRTz88MPo6+vDpz/9aX5vI9I4FkBEGpWVlQWn0xmTAuill16Cz+fDHXfcwf3YBqGnB2kOgKaooqIi2Gw2XXzdxkv0986HJKLls1qt+MhHPoLh4WHs27dPdZykJaXEI488gpaWFnz0ox/Fhg0bVEcioktgAUSkYTU1NfB4PJiZmVn2Nc6cOYPf/va3qK+vR319fQzTkUrFxcWwWq26eJDu7++HyWRCcXGx6iikmBACFRUV6OnpUR1FGY/Hc24gNhEtX11dHbZu3Yqnn34aPp9PdZyk9Otf/xoHDx7Erbfeiquvvlp1HCK6DCyAiDRs+/btEELgoYceQigUWtY1fvnLX2JxcRF33HFHjNORSiaTCeXl5bopgIqKimCxWFRHIQ1wu90YGBhAMBhUHUWJ6PwfHo1MtHIf/vCHkZqaikceeUQXM/GM5NVXX8XTTz+Nq6++GrfeeqvqOER0mVgAEWmY0+nEJz/5SXR1deG//uu/lvzixuPx4MiRI7jxxhtRWFgYp5SkitvtRn9//7LLwUThAGg6n9vthpQSfX19qqMk3NmzZzE0NMTj34liJDMzEx/84Adx6tQpHDp0SHWcpNHY2IhHH30UDQ0N+MhHPsJCm0hHWAARadzWrVvxoQ99CG+++SZ+8YtfXPavi0QiePTRR5GTk4O9e/fGMSGp4na7EYlENP0gPT09jcnJSc7/oXMqKioA6GN+Vaz19PRASok1a9aojkJkGFdddRXWrFmDX/ziF5ienlYdx/BOnz6N73//+6ioqMCnP/1pmEx8nCTSE/6NJdKB66+/Htdffz1eeOEFvPDCC5f1a/bv34/+/n7cfvvtsFqtcU5IKujhQbq/vx8AuAKIzklPT4fdbtf01228eDweCCFQXl6uOgqRYQgh8Cd/8ieYn5/Hz3/+c9VxDG1oaAjf+c53kJeXh/vuuw+pqamqIxHRErEAItIBIQRuv/12bN68Gb/4xS9w/Pjxd/382dlZPPnkk6iursaWLVsSlJISLSMjAwUFBZp+kI4WQE6nU3ES0pLoIOhkm9nh8XjgdDphs9lURyEyFIfDgT179uDIkSNob29XHceQJiYm8K1vfQtmsxl/+Zd/idWrV6uORETLwAKISCdMJhP+7M/+DG63G//1X/+F06dPX/Rzn3zySZw9exZ33nkn92UbnNvtRnd3t2YfpPv7+5GXl4f09HTVUUhD3G43pqamMD4+rjpKwkQiEfT09PD4d6I42bt3L+x2Ox555BEsLCyojmMoMzMz+Na3voWzZ8/igQceQF5enupIRLRMLICIdMRiseC+++5DXl4evvOd72B4ePgdn9Pf34/XX38d1157LY/dTgJutxtnzpzBxMSE6igX5PV6ufqH3iE6BFnLq9dibWhoCPPz8xwATRQnFosFf/Inf4LR0VE89dRTquMYxszMDL7xjW8gEAjgnnvu4ZZuIp1jAUSkM+np6XjggQdgNpvx7W9/G2fOnDn376SUePTRR7F69WoeyZkktDwHKBgMwu/3cwA0vUNJSQksFosmv27jxePxAABXABHFUVVVFXbt2oXnnnsOg4ODquPoXrT88fv9uO+++7Bu3TrVkYhohVgAEelQfn4+7r//fszMzODb3/425ufnAQBHjx6Fx+PBH//xHyMtLU1xSkoEp9Op2QfpwcFBSCn5biG9g8lkQnl5uSa/buPF4/EgMzOTWyeI4uz2229HWloafvzjHyMSiaiOo1t/WP6sX79edSQiigEWQEQ6VVZWhrvvvhuDg4N4+OGHMTs7i1/84hcoLy/Hrl27VMejBElJSdHsgzRPAKN343a70d/fj1AopDpKQng8HlRWVnIuG1Gcpaen44477kBPTw9ee+011XF0ieUPkXGxACLSsbq6Onz0ox9Fa2sr/uEf/gHT09O46667+ICRZKIP0uFwWHWUt+nv70d6ejpycnJURyENcrvdWFxcPFcUGtnU1BRGR0exZs0a1VGIksK2bduwfv16PPHEE5icnFQdR1dY/hAZGwsgIp276qqrcOutt2JiYgK7du1CeXm56kiUYBUVFQiHw/B6vaqjvI3X64XL5WIhSRek5flVsRad/8MB0ESJIYTARz/6USwuLuKxxx5THUc3WP4QGR8LICIDuPXWW/HAAw/gwx/+sOoopEB0qKyWHqQjkQgGBwe5/YsuKisrC3l5eejp6VEdJe66u7thNps5EJ0ogQoKCnDrrbeisbERb775puo4msfyhyg5sAAiMgAhBGpra2G1WlVHIQWig2W1VACNjIwgHA6zAKJ3VVFRcW51jJF5PB6UlZXBbDarjkKUVG688UaUl5fjBz/4Afr6+lTH0SyWP0TJgwUQEZEBuN1uTRVAHABNl8PtdmNiYsLQMzrC4TD6+vp4/DuRAikpKbjvvvuQkZGBBx98EKOjo6ojaQ7LH6LkwgKIiMgAog/SExMTqqMAeGv+j8ViQVFRkeoopGHROUBG3gbm9XoRDodZABEpkpmZib/4i79AOBzGt7/9bczOzqqOpBlnzpxh+UOUZFgAEREZQHS4rFYepPv7+1FSUgKTiT9m6OJKS0thNps1tXot1jgAmkg9h8OBe++9F6Ojo3jooYc0d2qmCv39/fja176GQCDA8ocoifCVORGRATidTs08SEsp0d/fz+1fdEnRwchaKS7jwePxoKCgAJmZmaqjECW1tWvX4hOf+AROnz6NH/7wh5BSqo6kTFNTE77+9a8DAL7whS+w/CFKIpxGSERkAGazGWVlZZoogMbGxjA3N8cTj+iyVFRU4LXXXsPi4iJSUlJUx4kpKSU8Hg9qampURyEiAFdccQXGx8fxq1/9Crm5ufjgBz+oOlJCSSmxb98+PPHEE6ioqMC9997LcpooyXAFEBGRQbjdbvT19Slf2n7y5EkAwLp165TmIH1wu90IhUIYHBxUHSXmxsbGMDU1xfk/RBpy00034ZprrsG+ffvwyiuvqI6TMOFwGD/84Q/xxBNP4IorrsDnP/95lj9ESYgFEBGRQbjdboTDYQwMDCjN0dTUhOLiYhQWFirNQfoQHQSthdVrsdbV1QUALICINEQIgTvvvBMNDQ147LHHzr1pYWTT09P4xje+gcOHD+MDH/gAPvWpT8FisaiORUQKsAAiIjKI6JBZlQ/Ss7OzOH36NDZu3KgsA+lLbm4uMjMzDVkAtbW1ISMjAw6HQ3UUIjqPyWTCn//5n6O0tBTf+9730NvbqzpS3AwODuJrX/savF4vPvOZz+CWW26BEEJ1LCJShAUQEZFBZGdnIycnR+mDdHNzMyKRCAsgumxCCFRWVhpuEHQkEkFLSwtqa2t5Gh6RBlmtVtx///3IyMjAgw8+iNHRUdWRYu7kyZP4l3/5FywuLuKv//qvsXnzZtWRiEgxviIhIjIQt9uttABqampCdnY2B0DTklRUVMDv92NmZkZ1lJjp6enB7Ows6uvrVUchoovIzMzEAw88gMXFRXzrW9/C7Oys6kgxIaXE888/j+985zuw2+344he/iLKyMtWxiEgDWAARERmI2+0+N3g20RYWFtDS0oKNGzdyeTktSXT7opFWATU3N8NkMvEEMCKNKyoqwr333ouxsTF84xvfgM/nUx1pRSYmJvDd734Xv/jFL7Bp0yb89V//NbKzs1XHIiKNYAFERGQgKucAtbe3IxQKcfsXLVlpaSlMJpOh5gA1NzdjzZo1SEtLUx2FiC5h7dq1uOeeezAxMYF//Md/xOuvvw4ppepYSxKJRPDiiy/iK1/5ClpbW3Hbbbfh7rvvRmpqqupoRKQhLICIiAzE5XIhJSVFyYN0U1MTVq1ahaqqqoTfm/TNarWipKTEMAXQxMQEBgYGuP2LSEfq6urw5S9/GW63G4888gj+4z/+Qzdbwvr6+vC1r30Njz/+ONasWYP//b//N2666SauxiWidzCrDkBERLFjsVhQWlqa8AfpSCSCEydOoKGhASkpKQm9NxmD2+3GkSNHEIlEdD80ubm5GQBYABHpTHZ2Nv7qr/4KL7zwAp544gl89atfxSc+8QmsX79edbQLmp+fx69//Wu89NJLyMjIwKc//Wls2bKFxQ8RXdSKXmEJIf5BCHFSCNEkhHhOCFEcq2BERLQ8brcbvb29WFxcTNg9PR4PZmdnuf2Lls3tdmN+fh4jIyOqo6xYc3Mz8vPzUVRUpDoKES2REAI33ngjvvjFL8Jms+Gb3/wmfvnLXyIcDquOdo6UEo2NjfjKV76Cl156Cddccw3+z//5P9i6dSvLHyJ6Vyt9i+3/k1I2SCk3AvgtgC+vPBIREa2E2+1GKBTC4OBgwu7Z1NQEs9nMgbe0bCrnV8VSKBRCe3s76uvr+SBGpGMulwtf+tKXsHv3bjz33HP453/+Z00U1OPj43jooYfw3e9+F6tXr8bf/M3f4K677uK8MSK6LCvaAialPP+YmXQA+pqWRkRkQBUVFQDeepBOxHHsUko0NTVh/fr1sNlscb8fGVNBQQHS09PR3d2Nq666SnWcZevs7EQoFOL2LyIDSE1NxUc/+lHU1dXhRz/6Ef7xH/8Rd9xxB66++uqEF7yBQACHDh3CCy+8ACklbrvtNlx//fXcdk1ES7LiGUBCiP8L4OMAzgC49l0+724AdwNIyAMJEVGyys3NRVZWFrq7u/Ge97wn7vcbHBzE6Ogo9u7dG/d7kXEJIVBRUaH7o+Cbm5uRmprKYehEBrJhwwZ85StfwQ9+8AP85Cc/QWNjI6688krU1dXF9Y2PmZkZHDt2DEeOHEF3dzeEEGhoaMCHP/xh5OXlxe2+RGRclyyAhBAvALjQJvYvSSn/R0r5JQBfEkJ8EcD9AL5yoetIKR8G8DAAbN26lSuFiIjiRAgBt9udsK00TU1N516UEq2E2+1Ga2srzp49i1WrVqmOs2RSSjQ3N2P9+vWwWCyq4xBRDGVlZeEv//Iv8eKLL+LZZ5/F9773PZjNZqxbtw4bN27Ehg0bkJmZueL7hEIhnDhxAkeOHEFLSwsikQiKi4vxwQ9+ENu2bUNOTk4MfjdElKwuWQBJKW+4zGv9FMBTuEgBREREieN2u9HY2Ijp6WlkZGTE9V5NTU1wu90xeeFLyc3tdkNKid7eXs2euvNuhoeHMTY2xtVwRAYlhMANN9yA6667Dh6PB01NTWhqasIjjzyCn/zkJ3C73di4cSM2btyIwsLCy75uJBLBqVOncOTIEbz55puYn59HdnY2brjhBmzfvh1OpzOOvysiSiYr2gImhFgrpTz9u398P4COlUciIqKVig7U7enpievKnLGxMfT39+O2226L2z0oeZSXl0MIge7ubl0WQDz+nSg5mEwmrF27FmvXrsXtt9+OoaEhNDY2oqmpCb/85S/xy1/+EsXFxairq0NKSgqCweAFP+bn57GwsIC5uTkEg0HYbDZs3rwZ27dvR1VVFUymlZ7XQ0T0diudAfTPQohqABEAfQA+u/JIRES0UmVlZTCZTOjq6oprAXTixAkA4PHvFBOrVq2Cw+HQ7Ulgzc3NcLlcyM7OVh2FiBJECIGSkhKUlJTg1ltvxdjYGE6cOIHGxkY8//zzEELAarWe+7DZbLBarcjIyEBBQcG5/9/tdmPDhg1ITU1V/VsiIgNb6SlgfMuXiEiDLBYLqqurcfjwYbz//e+H2bzimf8X1NTUhOLi4iUtdSd6N2vWrMGRI0cQCoV0NUdnbm4OHo8He/bsUR2FiBTKy8vDddddh+uuuw6RSARCiISfGEZEdDFcV0hEZFA333wzzpw5g0OHDsXl+rOzszh9+jRX/1BMbd68GcFgEK2traqjLElraysikQi3fxHROSaTieUPEWkKCyAiIoNat24dysrKsG/fPkQikZhfv7m5GZFIhAUQxVRVVRXS09Px5ptvqo6yJM3NzVi9ejXKy8tVRyEiIiK6IBZAREQGJYTA3r17EQgEcPz48Zhfv6mpCdnZ2SgtLY35tSl5paSkYOPGjThx4gTC4bDqOJclEomgpaUFdXV1HNpKREREmsVXKUREBrZx40bY7XY8++yzkFLG7LoLCwtoaWnBxo0bubydYm7z5s2Yn59HW1ub6iiXpaenB7Ozs9z+RURERJrGAoiIyMCEENizZw8GBgZiOlOlvb0doVCI278oLtatW4dVq1bpZhtYc3MzTCYTampqVEchIiIiuigWQEREBrdt2zbk5OTg2Wefjdk1m5qasGrVKlRVVcXsmkRRZrMZGzZs0M02sObmZqxZswZpaWmqoxARERFdFAsgIiKDM5vNuPHGG3H69Gl4PJ4VXy8Sifz/7d1rbFR3fsbx5+cLprghNmUJZW1gMXYwHl9kO7SIhKyX4IwJLGnUSk2rokBCFKWN+qbqVq3SvFhFalVVaUq63URotQQlJahFXSoFwiUMNxca2xgGSojsbBObdWNMiQMeLjb+94WdiASCD3h8zsyZ70fihX3OnP/zgp/seXz+c3T8+HFVVlYqOzs7CQmBm9XV1SmRSOjMmTNBR7mtCxcuqLu7m+1fAAAg5VEAAUAGePDBB5Wfn68dO3aM+1qdnZ0aGBhg+xcmVHl5uSZPnpzy28Di8bgkUQABAICURwEEABkgLy9Py5YtUzweV3d397iu1d7erpycHFVUVCQpHXCz3NxcVVVV6dixYxoeHg46zreKx+OaPn26Zs6cGXQUAACA26IAAoAM0dDQoLy8vHF9FpBzTu3t7VqwYIEmT56cxHTAzWprazUwMKCPPvoo6Ci3NDg4qNOnT6uyspKn4QEAgJRHAQQAGWLKlCl6+OGH1dLSonPnzt3VNc6ePau+vj62f8EXkUhEeXl5am1tDTrKLZ05c0aDg4Ns/wIAAGmBAggAMsiyZcuUnZ2tXbt23dXr29vbZWaqrq5OcjLgZrm5uaqsrEzZbWDxeFyTJk3iaXgAACAtUAABQAYpKCjQ4sWL1dzcrP7+/jt+fXt7u+bNm6epU6dOQDrgZrW1tbp48aI6OjqCjvI1zjnF43GVl5crNzc36DgAAABjogACgAzT2Nio69eva+/evXf0uvPnz6urq4vtX/BVJBJRbm5uyj0NrKenR+fPn2f7FwAASBsUQACQYWbMmKG6ujrt379fiUTC02s+/PBDvfrqqzIzCiD4Ki8vT5FIRG1tbXLOBR3nK18+/j0SiQScBAAAwBsKIADIQNFoVFeuXFEsFrvteZ9//rk2btyoV155RdevX9cLL7ygGTNm+BMSGFVbW6v+/n59/PHHQUf5SjweV1FRkQoLC4OOAgAA4ElO0AEAAP4rLi5WJBLR3r179cgjj2jSpElfOz48PKx9+/Zp+/btGhoa0sqVKxWNRvmsEwSiqqpKOTk5am1tVUlJSdBxlEgk1NnZqWg0GnQUAAAAz7gDCAAyVDQa1aVLl3T48OGvfb+zs1Mvv/yytm7dqpKSEr300ktatWoV5Q8CM3nyZC1cuDBltoGdOnVKw8PDfP4PAABIK9wBBAAZqrS0VCUlJdq1a5eWLl2qy5cva9u2bTp8+LAKCwv13HPPqaamRmYWdFRAdXV1OnHihD755BPNnTs30CzHjh1Tfn5+4DkAAADuBAUQAGSwpqYmvfbaa9q0aZNOnjypy5cvq7GxUStXrlReXl7Q8YCvVFVVKTs7W62trYEWL729vWpra9Py5cuVlcWN1AAAIH1QAAFABotEIioqKtLRo0dVVlamJ598UrNmzQo6FnCTKVOmqLy8XG1tbXriiScCuzNtx44dysnJ0fLlywNZHwAA4G5RAAFABjMzrV+/Xr29vaqsrGS7F1JabW2t3nzzTXV1dWn27Nm+r9/X16cjR46ooaFBU6dO9X19AACA8eDeZQDIcDNnzlRVVRXlD1JeTU2NsrKy1NbWFsj6O3fuVFZWlhobGwNZHwAAYDwogAAAQFrIz8/X/fffr9bWVt+fBnbhwgU1NzdryZIlKigo8HVtAACAZKAAAgAAaaOurk69vb06e/asr+vu3LlTkhSNRn1dFwAAIFkogAAAQNqoqamRmfm6Day/v1+HDh3S4sWLNW3aNN/WBQAASCYKIAAAkDbuuecelZaW+loA7dq1S8PDw2pqavJtTQAAgGSjAAIAAGmlrq5OPT096unpmfC1Ll68qP3792vRokWaPn36hK8HAAAwUSiAAABAWvFzG9ju3bs1NDSkFStWTPhaAAAAE4kCCAAApJWCggKVlJRMeAE0MDCgWCym+vp63XfffRO6FgAAwESjAAIAAGnngQceUHd3t1paWiZsjT179ujq1avc/QMAAEKBAggAAKSdhx56SPPmzdPmzZvV29ub9OsnEgm9//77qq2t1axZs5J+fQAAAL9RAAEAgLSTnZ2t9evXKzs7W2+88YYGBweTev19+/bpypUr3P0DAABCgwIIAACkpWnTpmnt2rXq6urS1q1bk3bdK1euaM+ePaqurlZxcXHSrgsAABAkCiAAAJC2Kisr9eijj+rAgQP64IMPknLNWCymRCKhxx57LCnXAwAASAUUQAAAIK2tXr1aJSUl2rx5sz777LNxXevq1avavXu3KioqNGfOnCQlBAAACB4FEAAASGtffh5QTk7OuD8P6ODBg7p06RJ3/wAAgNChAAIAAGmvsLBQ69atU3d3t9555527usbg4KDee+89LViwQCUlJUlOCAAAECwKIAAAEAqRSETRaFQHDx7U0aNH7/j1hw4d0hdffMHdPwAAIJRygg4AAACQLKtXr1ZnZ6feeustzZkzRzNnzhzzNb29vYrFYjp06JBKS0tVVlbmQ1IAAAB/cQcQAAAIjaysLD3zzDPKzc3V66+/rmvXrt3yPOecTp48qQ0bNujFF19ULBZTdXW1nnrqKX8DAwAA+CQpdwCZ2Z9J+jtJ33HO9SXjmgAAAHejoKBA69at04YNG7RlyxatWbPmq2OJRELNzc2KxWI6d+6c7r33Xq1atUpLly7V1KlTA0wNAAAwscZdAJlZsaTlkj4dfxwAAIDxq6ioUFNTk959912VlZWpqKhIsVhMR48e1bVr1zR//nw9/vjjqqmpUU4OO+IBAED4JeM3nlck/bmkXyThWgAAAEmxatUqdXR0aNOmTRoeHlZubq4WLVqkhoYGFRcXBx0PAADAV+MqgMzsh5LOOueOm1mSIgEAAIxfVlaWnn7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       "text/plain": [
        "<Figure size 1440x576 with 1 Axes>"
       ]
diff --git a/notebooks/TOT/synthetic-env.ipynb b/notebooks/TOT/synthetic-env.ipynb
index 88fe63a..26dd110 100644
--- a/notebooks/TOT/synthetic-env.ipynb
+++ b/notebooks/TOT/synthetic-env.ipynb
@@ -37,7 +37,7 @@
     "    sys.path.insert(0, str(lib_dir))\n",
     "\n",
     "from datasets import ConstantGenerator, SinGenerator, SyntheticDEnv\n",
-    "from datasets import QuadraticFunc"
+    "from datasets import DynamicQuadraticFunc"
    ]
   },
   {
@@ -55,9 +55,9 @@
     },
     {
      "data": {
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KRVevXlWr1dLm5qZarZauXr3KAUfAEWUymbFyAC/HLioAADBUq9VkjFG325W1Vt1uV8YYpscCR/TtYVavygEAcMEYM1YO4NXCMFS5XFaxWFS5XOakGwDARImiSJ7njWSe5ymKIjeFAAAAAAAAABy7paUl9fv9kazf72tpaclRIwAAAABIlo2NDbVaLcVxLEmK41itVksbGxuOmwHJFYah7t69q3w+r/n5eeXzed29e5d1tsARMXwHOF4M3wGQaGxmA45XpVLRysqKSqWS2u22SqWSVlZWmB4LHBHDdwAASbD/UPC75gBeLgxDVatVNRoN5XI5NRoNVatV7lkAACZGsVjUkydPRhaHPXnyRMVi0W0xAAAAAAAAAMfmF7/4xVg5AAAAAGCUtfaFF4CjqdfrstbK930ZY+T7vqy1qtfrrqsBiXTx4kVls9mRLJvN6uLFi44aAcnG8B0AicVmNgDApEulDn+7/aIcAAAX9m+2plKp4fV8DmA8PBgEAEw6Y8wrvwYwPg6MAAAAAAAAk+TRo0eSDj4H3s8BAAAAAC/3oiE7DN8Bji6KIsVxrK2tLW1ubmpra0txHCuKItfVgERaWlpSp9MZyTqdjpaWlhw1ApKNXb8AEqter6vT6Wh3d1dffvmldnd31el02MwGvAaGWgHH6wc/+IGMMQeuH/zgB66rAQAwdO3aNRljNBgMZK3VYDCQMUbXrl1zXQ1IpCiKlMlkRrJMJsODQQDAxNje3tbMzIw8z5O1Vp7naWZmRtvb266rAYkVhqGuXLmi+/fv68mTJ7p//76uXLnCvXUAAAAAAODUtwduM4AbAAAAAL67F32G4rMVcHQXLlzQzs6O+v2+rLXq9/va2dnRhQsXXFcDEunu3btj5QBejuE7ABJrY2NDrVZr5I12q9XSxsaG62pAYtXrdVlr5fu+jDHyfV/WWoZaAUf00UcfaWpqStba4TU1NaWPPvrIdTUAAIaWl5d18+ZNZbNZWWuVzWZ18+ZNLS8vu64GJFIQBGq1WiOncrRaLQVB4LoaAACSvv5d5XmeZmdnNT8/r9nZWXmex+8q4DVcv35dT58+VRzHstYqjmM9ffpU169fd10NAAAAAACcUfuHgz2/bun5HAAAAADwcocdxLx/ATiaVqs1Vg7g5b766quxcgAvx/AdAIm1P3TneftDeAAcTRRFymQyI1kmk1EURW4KAadAJpOR53mSJM/zDvyMAQAwCZaXl/X/Z+//gxs78/3O7/MAOIdAA91Ej4ZsyhfinNG4W3duyTtIluMoO+tK1d2ENy5nfR3UXu+mpnbTHf+A7E2vnZbEZJPySQVOpbKtbtnZXu8VvHZRW7lTm9ybnPId19Z6mNq7lV8b2W5tkFi59063RwOpYQ9FjiSwm2iABz+e/KEhRDTZZIM/+uCQ71cVSsQHZNfnHwjAwfN8n3a7LWut2u02g3eAI1hcXNTm5ubw+kSv19Pm5qYWFxcjbgYAwJd831cYhlpbW9PPfvYzra2tKQxD+b4fdTUgtj755JOxcgAAohAEgYrFovL5vIrFooIgiLoSAAAATtA777yjXC6nROLL7QKJREK5XI5DwwAAAADgGV25ckXZbHZkP0g2m9WVK1cibgbE12effTZWDgDA8xTZ8B1jzL9gjAmNMfYXt01jzDcP8e/MGWM+3/Hv9I0x/42T6AxgsjxtyA7Dd4DD8zxP3W53JOt2u5x6DRxSpVKR67qanZ3Viy++qNnZWbmuq0qlEnU1AAAAnJCVlRW5ritJw6HBrutqZWUlyloAAOyJ09iA4/HkYREH5QAAPG9BEKhcLqvRaCiTyajRaKhcLjOABwAA4BQrlUp6/fXX5TiOrLVyHEevv/66SqVS1NUAAAAAIBZ831c6ndb09LQuXbqk6elppdNpDjcCAAA4pSIbvmOt/f9K+vd2RFlJ/9Eh/qnflHRxx/2/aa39h0fpBiAenrYpgM0CwOH5vi9jjMIwlLVWYRjKGMOFIeCQ6vW6HMcZyRzHUb1ej6YQAAAATty9e/eGn6W2b2EY6t69e1FXAwBA0uiw4Lm5OYYFA8eA76wAAJOuUqnIWivXdWWMkeu6stbyHhAAAOAUC4JAy8vLymazmpubUzab1fLyMgMYAQAAAOAZlUolVatVFQoFtdttFQoFVatVhpoCR/DCCy+MlQPY39e//vWxcgD7i2z4zi/8dUm/v+P+v2KM+XPP+sfGmH9d0p/ZEX0k6a8dTzUAk+6ll14a2ci2fXvppZeirgbEFheGgOPleZ5arZbW19e1urqq9fV1tVoteZ4XdTUAAACcEGvtU28AAEwChgUDx4/FYQCAScd7QAAAgLOHAYwAAAAAAGDSnDt3bqwcwP6q1aoSidFxIYlEQtVqNaJGQLxFOnzHWhtK+nOSBjviW8aYFw/6W2PM1yXd2fnPSfrz1trHx9sSwKR65513lMvlhm8MEomEcrmc3nnnnYibAfFWKpVUq9XUbDZVq9UYvAMcweLiojY3N9Xr9SRJvV5Pm5ubWlxcjLgZAACjgiBQsVhUPp9XsVjktEPgCLbf+z1rDgDA8+Z5nrrd7kjW7XYZFgwcQS6XGysHAOB54z0gAADA2cMARgAAAAA4miAIVC6X1Wg0lMlk1Gg0VC6XWWMLHEGz2dT09LRSqZSMMUqlUpqenlaz2Yy6GhBL77//vgaDwUg2GAz0/vvvR9QIiLdIh+9IkrX2fUn//o4oL+lvPcOf/vuSZnbc/zvW2v/iGKsBmHClUknvvfeeXn31VV24cEGvvvqq3nvvPQaFAAAmxsrKirLZrFKplCQplUopm81qZWUl4mYAAHyFLweB48XwHQDApPN9X8YYhWEoa63CMJQxRr7vR10NiK0vvvhi1yls586d0xdffBFRIwAARvEeEAAA4OxhACMAAAAAHE2lUpG1Vq7ryhgj13VlrVWlUom6GhBbnuep3++PZP1+n+sVwCHduXNHkpRIJIa3nTmA8UQ+fOcX/heSfrrj/n/fGPMbT/tlY8y/Kul/sCP6Z5LeOqFuACZYqVRSrVZTs9lUrVZj8A4AYKLU63XlcjnNzMxobm5OMzMzyuVynCAFAJgofDkIAABwtpRKJVWrVRUKBbXbbRUKBVWrVa6vA0dw8eJFtdttGWOUSCRkjFG73dbFixejrgYAgCTeAwIAAJxFDGAEAAAAgKOp1+vq9/taX1/X6uqq1tfX1e/32Q8CHMHi4qJardbwQMter6dWq6XFxcWImwHx1Ol0ZIwZyYwx6nQ6ETUC4m0ihu9Yax9L+gtPxHeMMV978neNMdOSfvOJ+C9ZazdOqh+AyRUEgYrFovL5vIrFooIgiLoSAABDnuep1WqNXGxttVpMZAYATJR6vS7HcUYyx3H4chAAAOAUY7A9cLystcPbYDAYuQ8AwKTgPSAAAMDZwgBGAAAAADiaixcvamNjQ/1+X8YY9ft9bWxscAgLcAQrKyvK5XJKpVKSpFQqpVwup5WVlYibAfGUTqd3rU+y1iqdTkfUCIi3iRi+I0nW2v9c0t/dEV2S9Df2+NXbkn5px/3/xFr790+yG4DJFASByuWyGo2GMpmMGo2GyuUyA3gAABNjcXFRjx49Uq/Xk7VWvV5Pjx49YiIzAGCieJ6nZrOpn/3sZ8Nbs9lkWBxwSF//+tfHygEAABB/a2trY+UAAAAAAADPAwMYAQAAAODwdg4zeNrPAMZTr9eVzWY1MzOjubk5zczMKJvNcmgscEjXr1+XMWZ4WNhgMJAxRtevX4+6GhBLEzN85xfekPTPd9z/t4wxv7Z9xxjzr0j6czse/7mkf+c5dQMwYSqVijqdjjY2NvTpp59qY2NDnU5HlUol6moAAEiSfvu3f3usHACAKHiep06nM5J1Oh2G7wCHVK1Wd50WkE6nVa1WI2oEAACAk9btdsfKAQAAAAAAnocgCFQsFpXP51UsFjncEgAAAADG0Gw2deHCBSWTSUlSMpnUhQsX1Gw2oy0GxJjnebvWUnS7XdatA4d08+ZNvfnmm0qn07LWKp1O680339TNmzejrgbE0kQN37HWbkj6S0/EVWNMzhiTlfQfPfHYv2Ot/fnzaQdg0ty7d0+tVkv9fl+S1O/31Wq1dO/evYibAfHGF+7A8Xnw4IGMMUokEsObMUYPHjyIuhoAAEM/+tGPxsoB7K9UKukHP/iBvvOd72h6elrf+c539IMf/ICTRAEAAE6x7e+qnjUHAAAAAAA4aUEQ6OrVq/rwww/18OFDffjhh7p69SrrAQEAAADgGXmep1QqpZmZGc3NzWlmZkapVIohIcAR+L4vY4zCMJS1VmEYyhgj3/ejrgYAgIy1NuoOuxhj/g+S/vUd0X8gyUq6viP7+9baP/1ci0VgYWHB3r17N+oawETKZDLqdDq78nQ6rXa7HUEjIP6CIFC5XJa1Vo7jqNvtyhijarXKRlHgEJLJpAaDgRKJr2Zebt9n4w0AYFIYY5762CReNwIAAACAScPnKgAAAAAAMGk8z9Mnn3yyK5+fn1e9Xn/+hQAAAAAgZthjBZyMIAhUqVRUr9fleZ583+c5BRzS0tKS3n777V35W2+9pZs3b0bQCJh8xpgPrLULez2W2CucANclfbbj/l+W9G/vuL8h6S8910YAJs5gMBgrB3CwSqUia61c15UxRq7rylqrSqUSdTUglubn52WMGW6wsdbKGKP5+fmImwEA8JVUKjVWDgAAAAAY9bThO/sN5QEAAAAAADhJDx48kLV21+3BgwdRVwMAAACAWCiVSqpWqyoUCmq32yoUCgzeAY7B+++/rx//+Mfa2NjQj3/8Y73//vtRVwJi62/+zb85Vg5gfxM5fMdauy7pr+yIEhrt+pa19p8931YAJs3TTgrlBFHg8Or1uhzHGckcx+GkG+CQbt++rVwup0QiocFgoEQioVwup9u3b0ddDQCAoYsXL46VAwAAAABGPW3YNkO4AQAAAABAVFhjCwAAAABHVyqVVKvV1Gw2VavVGLwDHNHS0pJ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sy2a/Yrh6+4+WUlaT/Fyaieybhf1+otb65D7vv9m3eGeSPzTc/tok89n+wjZJXpTk84fbd5RSfijJQq31gyqZA0D7hoOn3jf8WJJM1Vo3i/Fs9ivK1uHNd/cBfYdfKl8xkd3lKz6Y7fmKXilluta6dgBxAQD78+NJ/ket9cyldo70K8pwVdUvHdn9i6WUTq11/Sruv998xdeVUv5z5CsA4JobnYxeSnlBktck+bI0/YLu8LD/kGZC+yOXusZF19v83v7qNMX2zqcZ/P3Xaq0/OXLoo0n+WinlviT/Mk0B4i9K8m1JvipbK7fux2NJPmV4jZLkqUutIn+xWus7hzmZzxw2vTzJM4exAgBXcID9is3JbDeMtP1CkjfXWn/sEsf/YCnlfyT59iRvTNMH+N1p+iP3ZSs/sS+11o+VUj40vO7JJH82yR3ZymNkuO9ctsa931tK+TdJfvhSK84DAJd30PmKod9IU3xnIskv1Fr/j53uPfKxHuD7CfkKAGjBAfYrNvsE35/kl9IU81tJ8uGd+gullOcluW2k6Uyt9eHd9AGuRL4CAMaT4jvAtTaZ5I+ObN9Va30suTB57FySlFIma61PllL+UZI3p6n8+cIkf7qU8j17rRw+8oA0urLspyTZzSD2T6QZqL7pM5M8P83qcABAOx5KU8X8W2qt79ps3BxkflG/Ymq4utqPpxlAnjRJ1W6Sd1zlhLK3DX+fT/Ky4fYn0lQsP5Gm2M/TaVaR7aR5Cft1SV5dSumPFgwCAFr1UJK1JNNJTpVSnlNr/WhyIV9xTSafX4N8xQsiXwEArRktnDM6WHzzncZov6KUspkr2PRLV1l4Z9Tl8hWTafo862lWY+skuTlNvqJXSvkK+QoAuHZqredLKSeS/OEkfzxNwZyXpHmnsLmq+jPSDNy+4mS24SJIL8zW+4+JJG+ttf5kKWUyybmL3oH8UJp3JHcOP39xKeULaq2/uJ+/Z/MdSynlhmxNtD+X5n3IjvGPDL7/jWxNZntZkufFZDYA2JUD7Fds9hX+d5rxDf9nkn+bZiX5DO9Rs32Bgk+UUv5hktenWeH9hjSFgN+UJh+xLyPjN04neSrNIo+fN7z+2WHbDcOfyWFc55PcnuSLk/zdUsp3DuNTXBgAdumA8xWbfYHlkbZXDK9fMvz+HulX7LvvsBP5CgBoz0H1K0bGWfxSmuI7F1y8oOLwuDq89ucP284m+a3hvqsqvCNfAQDja8cVlQEOyJdn62XtU0nekVx46LlgpJrnjyYZHeT15UleeqlzrqSUMpXkwyNNL8ou/r9Xa91I8q6Rpk9LMyAdAGjPO5P0a63vKqVMbPYLdkhEbr6c/aVsTWS/Ocmtw+39rLq2ec0HhtsTST6Y5PvSVGH/qiSfW2t9TpqVY/9+tia+1SS9JN+7j/sCANfGw2kK8CTNYKuXJFuT5ktj4qIV1w6EfAUAHE+11vObP6PtI+82Pj9NEZxNjw33X01/Y/Ne78ju8xVv3ww5yasjXwEA11Qp5WvSjJX40TTF7z4jzYDzZOt9xUuSPGcPl51N8rnD7ceTLA0Hb5+9+L1JrXUtyV1pihAnyUySrx9ORtuPzdg/MtJ2U5pB85ez+bf+8kjbp6VZCAkA2IWD6leM5C5+OclfS/LPaq0XVpGvtZ4b5jguHo/xaJL/mmYie03yWaWUk1c5gWwz7g9ka3zHDcPP35/k7yX580n+QJrV5X8hycbwuMnh/jdexf0BYCwdcL5isy/wtpG2lyW5eZiruLhQ8LUgXwEALbkW70EuHrs5XKt5c0xGHelbTCZ54fA+U2kWez4I8hUAMKYU3wGutc9Is4J7kvxahg8Sl0qgDiuHP5HmBe2m25L8rs1D9njvc/nkyWxXSqBu+miaQWpJ89Dz7D3eGwA4QLXWjVrrU8PtSw3yupQPZWtF+fVcVO18j/ffPOf9SR5Ms/Lb59Zav67W+gO11vtqrR8ZHvvuWus/TPInk/zqyGW+uJTyZXu9NwBwTTyW5ns9aZ77P3u4fSLZ/rJ29KS9FgbegXwFAIyXzf7DC9IM+kqS96TJL1zVCq8j+Yr3Da/3t/PJ+YqHh8e+a5iv+KrIVwDA9TSRZsD35iqrH0ry1iT/V7YGn78wzYrqu/Wake0zST6w03uT4TiMjyT5LyMxfGG2ChHvNdexeZ93jLQ9L01x48tdb/O8t4+0PWvzPABgVw60XzEsuPM9tdazu+kTDPsbD6eZUFeGcXSTA3l/8qEkq0l+MMkX1lpfWmv9C7XW/7vW+p9rrT9fa/3+NJPavjnJI8PzTiT5mlLK76+11gN6jwMA4+DA+hUjBfxWkmwuyPzsNEVsUko5UUqZvHgxggNeDEm+AgDac+DvQS41dnMHX5LkiTTf6TXJbycHNs4zka8AgLEz2XYAwLE3+nCwkeFDzA42k5e/nGYy2XOSPDfJa5P8++xxonyt9Xwp5WNpBpvdmKZ6+WyaVV+v5PE0D0ibidNbk+bh6zpUXgcArkKtdTNxO7qafCfJ/cP9+/4ur7U+Vkp5fZLTtdZzpZTNhPC2gkCllE6t9d2llDcl+TdpVnJJkj9dSvm1Wuvl+kQAwLX3VJpJ7186/PwZSVPwr5Ry8/DzS9P0J96f4SpnwwHoJ0b6G3t2LfIVAMDhNTIgbHQVt/Ukywf1zmGP+Yr3yFcAwHX1nuHvR5L8XJqVX/9XmjER35ZmHMSzk3zqlS400nd4TZpB7CfSTCr7lCS/c4XT/0easRcvSPLpST4/yW+mGRS/6zzHSE7kt0aaXziMYcd3MCN9os1iyDUmswHAXh1Yv2LTsFDfFRdAGnk38swkNw+bH0zyjD39BZ9s874PpFkVfrnWenoztm0Hbk28+75SylNJ/tPw/FuT/Nkk/8vYTgDYtQPtV2z2KZK8O8krhs2fnuQdF4+vGI7J2Ki1nhl+vup3JfIVANCqA89XXMlInuJV2Vr4cDnDQoAHkB+QrwCAMaX4DnDNDKtyjlYZfUGt9YmR5Oo2Iw8S709TPfyL0lQ+fdVVJFV/O80gs+7w86uS/MrlYh7e53y2qo0mzSS4ZI8DzwCAVn3lyPaHcuWB57tSa/3AyPYl+wW11vVhn+cXSin3Zmsy26vSvFT+bUX9AKBV62kGfSXNi87Xl1L+WpI7knz2SPvH0xQTnkjyn0spS7XWt+fqHWi+YqdcCwBwOJRSbkyz0tmmj15NMb9L2UO+4sTl8hUHGRMAkKQZ+/D1SX681vrw6I5SykPZKqx7qpRy4+bEsx1sjld4RrZWi304lx/DsPke4v4k70tTfCdp+ib/7+7+hEt618j285Oc2uV5TyT5RJpJ+1NJOt6XAMCuHWS/Ism2CedXPHT4+9kjbQ8lee/wOvv6Lt88b1gQeLCb2IZ9hx8spdyZpijhZJLfX0p5Vq314/uJAwDG0EH3KybSjGe4P1vFd3qllF9P8oVJviDJy9MUtXk0yQOllNUkP1Nrve/q/5wL5CsA4Po78HzFlYyMibh5pHlluHjyQRT2k68AgDE1ceVDAPZn+KBx40jTc4btl31hW2vdSFN1fD1JSfLiDB+0hgV99uKDaQaQbeqVUjq7OG89ydMjn5+1x/sCAC0qpbwyye8dafrnLbwI3ey3/MxI2/OyNckeAGjJMDexOUH9XJLPTPLtaQrvnE+zAkpJM4j8BWm+w/9Skl8spXx9KeXEJ110by7OV3zOPvMVz97pQADgUHk6WwX+kuQnSyltL5IiXwEA10Gt9fEk319rfbiUcmL4s5kDeNvIod1src66k82xFh8eabs5ydpl7r/5buShbF/9/TUXXXOv3pFkc4D8dJKXllKmdnFeJ01e5FIxAgCXccD9ir3e+3wp5SVJ/nC2CvG8r9b68YtXfN+vMrSbQ4e//1uSp4bb3SSfsXmdg4gHAI6za9Cv2OwfLI+0/fkkP5zk+5N8U5LXJumlWaD5DUn+cZIfLqV8TynloPou8hUAcJ21la8opbwoWwsOJcnjm7sO6h7D+8hXAMAYUXwHuNY2hj9Jcr6U8oLLHTzyIvY3kzw53H5Otiqg7/VB42PZ/qD2uUletNPBI0nSp7I1ge3CxLaDXokWADhYI32Jv5HkljQvdd+X5KdaCGdzwPo7R9puSjKTeDkLAIfAB9OsqDaZ5jv6mWn6DT+R5N8lWRr+bA6wOj887l8n+dqrvPfF+YrXZH/5ijPD/fudKAcAXB+vzNbA8yR5oNZ6tqXBVZfNVwAAB2/zub3Wem445mDz+3h0ZfcXZfh9vFMfodZahwPWnxxp/rRa6xO7COOxJO8e+fwZpZTn7eddRSllotb6VLYX8/mcJM/dxek3Z2sAfDLMcxzUpH0AOO4Oql+xT6/LcMJYmncUbx6N6WrVoT2c8q4km/2giSSffhBxAMC4OOB+xeZ3+K8Nfz+d5CVp8gVn0hQS/uhw35NpFklKktkk35jk50opV7VYsnwFALSnpXzFuSS/J00/5Okkvzoay0GRrwCA8SIRAFxr783WiuxTGU4k20Ui8gPZetCo2XrQ2NPDVa31TLav3vrSbK3gdjkfztYqr50kD+zlvgDA9VdKKcPV1v5gkj+e5GyavsN31VpPX+8XoSNJ1kc2m9JMZtvNIHgA4Nr7aJIHh7+/O8kfTPIFtdY/Umv9ulrrNyf5S0l+X5oB5E+PnPumUsqXJkkp5cRebyxfAQDjYSQX8XnZKqD30SRr7UQkXwEAh8SlBp3PZthfuMIg7prtfYkX7yY3MRzs/oFsFe7pJLl1twFfZLOP83Mjba9I8pnJpceDjAykn87WyrZr2ZqcZ8ECANifq+lX7Fop5VOS/L00E9tKku9P8v6DuPZV+GianEbSLBB5VRP2AYD99ytGJrm/Y/j7hjTF+v5nmj7ENyT5ojSLMn9hku9MsjJy389J8i9KKTdfRfzyFQBweFyPfMVLh/cpafoeP38A1zwI8hUAcIQpvgNca+9J86CQNMV3rlStc/PhaTVbg75qtiaW7efh6mezNWj8WUn+2OUOHiZRX5rh6vFD79nHfQGA62i44ustSf5mmhehk2le3n7vcP+BVjHfg1elWVF20+mW4gAAtjuTZJDk25J8S631J2utH0ma3EApZTJJaq0P1lr/ZpJvGZ53PsnL0wwOS/Y/2Eq+AgDGxy1Jbhxun06z0tmBTYDbJ/kKAGjPZh/gbSNtLxj+XP7EWjeSfDzNBLaa5JlJnr/L+340W6vMJ7tfPOlim+9bfipNoeCkWc3+9cPtyy2q9HSaiW9JM5ntgaT1fhEAHGX77lfsxua7kiT/JE2f40SSD6ZZBOnsQdxjHzb/5sezNUn+bJLfTvQrAOAqXHW/otb6sSQfS/Ivk3x2rfWLa63/uNb647XWd9RaH0lyf/3/27v3KM2usk7Av93dSQghISEJl4RcCReR4SZ3UJTbAgRmBFmOtwgyM8vBWTqCKCgEIjAoA+MwrkFFQUAB0YHgDOh4IUhATCRkSEASCAqJkEuHJCTpJJ2ku9/5Y5+POl2pqv7q1lXV9Txr9arv7HPbX//zvec9e7+76mVJfjjJZ9Pnte1K8sIkz1hG/+UrAGD9WNV8xeD704sEV5Lt6e9N1pJ8BQAcABTfAVbbv2RmUtghSR40fJ4zeTl6kLgyMw89LTOVTRc1ab611qrqliRnDddrSZ7XWnvwPMcfPPThOemD4ZO++tu3F3NfAGDN/EySJw+fb0ryqqq6aS06Mhqs/sL0uGJP+gT7G4f9C73MBQBWWVVdW1Wvr6p3VtWe8W9zdbuG4n6T3/SzknwwMznV72utHbmUAn9LyFccJF8BABvPEGPcNXsvTLC7qi5fwiT3FbGvfAUAsPom4yKq6rLMLGZ0tyTHTxkjXJ9eRG+Sy5h3BfehfXLcDUmuGe2a5CEW+75iMq7j80nOGz5vS/JDrbVtVbX7TifMjAW5/+gad0mfZAcALNEKxBXzGn7Xd7XWnp/kBekxw54kb62qixY+e/WM4opnj5oPT3LBGnQHAA4Yy40rRvmHZyV5ZVVd2lrb0lrbOvxtk/sMczYuSPLq9EI3k4J/L2it3XOpX2H4+/nIVwDAmlrlfMXW4eP9kxycnq/4u6zxmAf5CgA4MCi+A6y265JcNXzeluQhw+cFJ6ZV1fbMJFG3Jrl1tIrKUrw7yT8Pn++a5OWttWOTvR66UlW3t9YOS0/6HjQ0f7yqLjZBHgDWt9baI5KckV7BPEleX1XnLXDKUu8zVUwwTLB7RpIfGvq0NclHk1w47Fe9HADWgcnL3Pl+myfFdYYV2s7KTE7j2CQPX+bt353p8hV3DPmKZ0e+AgA2oienD9jek2Flt6UU8FvISuUrAID9YzS4/Cuj5pPS8wPznTP5vb8yMyu4J8njprztzUluGW2fMOV5exnlUK5I8gejXQ9I8rKk93We+OSl6XFRS49B1nolWgDY8JYSV0xzzaHwzvFJfikzCwN8LMnvL/W6+7jn1O87WmunJnlRZibZfybJt1ahWwCwqSwnrhiK6rSqOr+qvj207amq3cPfGh07yQd8IsmfjC7z8MwUGV7UWAj5CgBYX1YjX5EkVbW7tXZUejGfieuq6lursQiSfAUAbC6K7wCrakiMXjpsbkny8KFy+LyTzUcPOjtHzTvTq5HOd06b6wFpVCn1E0k+PNr140le21q76/DQ1Vpr21pr903ypiRPGo77VpKPjK8FAKwvoxjgHUkOTZ809hdJ3rnE680ZV0xMExO01u7eWntukl9Pn5i/NX012Q9W1W1L6RcAsDoWOfH9S+kT3CZOXOjgZeQrDpuVrzghPV/xxOE4+QoA2Di2Jrlv+oDtLUk+vpSLrGC+4jmRrwCA9WDyu/75UdvJ6aug7ss3knxttP2o4e98hYUn7TeMmnelxwLJPhZPmk91f5bkc8M1tiR5XWvtGcO+7/RniGV+KsnjR5d4X1XdorAwACzbcuKKOY3enbwsyWOGz/+S5E1VtWM1fr8nsUNrbctC1x8m2P3P9EKCk3jjbVV1k7gCAJZtWXHFYscvVNWuJH85arrPcL8lj4WQrwCAdWPF8xWj3+d7JXnE8PmOJFcNn1d8LKV8BQBsLtvWugPApnBOkh9Mclh6hdIHJfniUNn8Tg81oxe3142ad1TVLbOPHZ1TmecBaXSf30t/SPux9EI+L0kvBvRX6Q9yxyR5VpLnJDlkOP1DVfXnw0ouK7oKLQCwfENRv12ttbckeeTQfFX6gK/rl3LNheKK4Z4PSPKj6au57Uyvml7pq8Uflh7rPCPJC9Mnsk38t6r6M3EFAGxot6evLH/8sH2fZK/cw15WMV/xv+QrAGDD+IH0/MERw/ZVyXdWkJ/6d3zKfMW/TS9GfGv6gLU9w79xvuKHk9xzdKp8BQCsjcnv+vnpxXiTPp7iqCRXzpVrGG1/K71A8HOH7Ue01u5VVVfv457fSh+QnvTCOzfMl9MYiv61qto938VG8cMvpscgpya5S5L3tNbenuSTSb6Z5B5JXpC+ivxkJdr3pq8kr7AwACzfouOKaQwLDv27YXNXkrdX1bmLzSFME1cMx52Y5JiqumDYbplZsPHg9OLGT0ny8gyT8tMn8r0tyVlL/Z4AwF5WJa7Yh8lCz5X+LuWI+Q6UrwCADWXF44rR8VvSi9wkfQ7Hx2ft3yf5CgBgLorvAPvD36avevKgYfsHk3xxoQeH1tpJmVllLRkeuFprW2c/1LTWDk3ywCTfneSKqvrE+MFk9Pey1tovpU+M+4H0CWtPSK90eugc3fiNqnrVcK4B5wCwzgxxwa7W2rOSvDh9BfmkVwj/9BKvuWBcMbgtya8k+aUkO5JcNLTdIz2Je/zeV82Xk7y2qv4kEVcAwAZ318wUwEmSI4e/W9Jf4n6HfAUAbG6j9xkPzEyxm0vScwmL+h2fFVdcWVVnz5Ov+NUkv5zk5iQXZiZfcWKS42Zd9pIkr5OvAIA1M/kdv2DUdnyGov4Ljaeoqh2ttc+Mmk5I8pgk/2e+c4bYYfcQVyT9ncol891nHBu01o5Osqeqrp+V29gzbH+ytXZGkjemD5y/V5Izk1ye5Mbhex01uvyHkrzSYHMAWDFLjivm01q7d5IzMrMa/dlV9RvD9RaVQ9hXXDGKL56Y5KWttUpybZKvJrkp/d3MKenjT0/JzOT4a9Mn1P+6uAIAVsyKxxVT2Ja+CNKkYPDt83ZOvgIANpLVjCsemT5ec0v6eMuLF905+QoAYA6K7wD7wz8n+Wxmiu88o7X2v6vq4tmDw0fbRyV5+ND87QwVzecovHNckm+Mmv4gyScWGCB2RWvtaUnenOT7k3xPZiayXZ9exfyiJB9IcvZSviwAsPpGg8SPTfKazLwE/YskvzPX8RmK88w3EGzauGKYIH9HesL00CRPneNy30ryT+lV1D+cPuENANigRpPn754+6X1PklvTX5Rm2B4fL18BAJvc6H3GeIXW7VV1/mJWNpsnrjhbvgIANrbRu4ovTZrSB5zfe8pL/E36b/sx6QsbPae19smqunGe+1Vr7f5Jbhk1X5/stSL8d7TWHpvkv6TnKI5I8mtJXjfca9f4usPf97fWLk/y1iQPTR/sfuLokrenxzQfTfLbVXXVlN8TANiHFYgrvmOUs3hVehyQJFcm+YVh/53ihimuOVVckT7O9H5Dv3dn78Ubx+5I8oUk70ryR/PFPwDA4q1kXLEvo7jjIem/7xO3DfvlKwBgA1uNuGIUPzw1M3mDv88S5snLVwAAc1F8B1h1VbWztfanSX5yaHpMkp9K8sr0SfBzDTB/YPok+sm+s+a59hWttZ3pDy67kxzSWrtLVe1coEutql7RWjst/eHnqPTB6Ncn+XKSy6rq5sV8RwBg/xpNMHtZkscNn69M8saquqG1dlCS3ZOk7XD8gpPapokrRi90fzt9YvzRSa5LckX6IPebh358LslFVXXlSnxfAGDtDL//u1trW5O8cNKcPijrA8mdV2GRrwAAkqS1do8kDxs1LXpw1QrnKy5IcqF8BQCsH1V1bWvt20mOTHJwkhNaawdV1R3znTMUCb61tfbnSU4fmp+d5H1JzhkVEZ4cP7ne9yS5/9B8WYYCf7NWd53EFYekj+04bNh130mXF/gun26tfW+S5yZ5VvqKszvTCxh/Icmnq+qr+/gvAQCWaClxxdgkhmitvSDJi4bmPUlePyy0uK2qdrXWtszccv7iwtPGFaNr/HOSv0ufQHfk0HZ1ku3p70quTF/J/tNVZaECAFhFy40rpjSZR/L49Phgd/r7jOsm3fjOgfIVALBhrXBcMYkf7j5q+0KSqQvoyVcAAAtRfAfYXz6d5M/TB3wdluQlrbU/rarPjQ8aVlu7W3q10Ek10Pdn79XXkuz1sHNpkn+V5KD0wWLHpT/YzKmq9gyVTr+aRKIUADao1trTkvzHUdNbquozSTJOxrbW7prkhCSnpA8qPy69SM+O0TFTxRWjAeivT/KaocjgtvQV5e9Icsd4QDsAsDG01lqGF7NzFNKZ/P6fnuSl6QPNt6RPaLvTS1v5CgBg5JYk35uZQd+fTu5cuG8+8hUAcGAbFcn5UpInDM0npRfjvWGBUyexxAfSY4PvTnJ8+jiMz1XVzZPJ8cle70z+dWZWZL20qs4drRKb4dhJXPHlzMQgW9MHoCc9LzJ/x6puT/KhJB8aJuZvTbJr2vgHAFiaZcQVk/MnCxGcnOSXkxw+7PpIkncOMcMkttgz69yjkxxdVV8Zty82rqiqa1prZyZ5W5Jrk9xlOGZHkpuGfzvFFQCwulYgrmjJvt+FDGMkHpk+FqPS44SLkvzN7PPlKwBgY1puXDHbED+cluSeo+abJosrTjMuQr4CAFiI4jvAflFV326tvSHJk9JfzB6d5COttdPTK4zelj5o/JHphXcmq61dkeR35nkA2ZL+sHJh+kCyTyX5v5mpdr5QfzzQAMAG1lo7IsmbkhwxNL0/ye+21o5Pcr8kpyZ5QHrBnfsmuUd6DHJoesLzI0nOG01iW1RcUVU3jj7vSk+aAgAbUGvt7lV1Q2athDYMCLtrku9K8uIkPzHs2pL+0vXN87ysla8AACZOG/624e/fL/J8+QoAOLBNYoQLMjPo/OT0FVvnHXQ+Ghh+dpI/TPLrw/a/Gc77ucnk+CG/cUSSn07ynPT8x21J3jNca85cRFVd3Vrbmj7g/NYkVy92JdqhnwtOfgMAVsyS4oqJYfLaliQ/n+RR6cV8v5DkZye//8PCR/dNH49xWvoYz5PSF0Pa3Vp7+vC+Zfa1p44rquqLU39jAGC1LDeu2Oe4h2EBgYcmOTPJA9PzB7cneVdV7Vzg2vIVALCxLCuu2OtCM4sJHJbk0envO25KL+yTxS5IJF8BAMxF8R1gvxgmtp/bWnttenGdw5PcJ8nHk3wmyReTHJvkIemT5PekPwC9er4HlNFKKqev/jcAANaZM9NXc50UzjkufWWS49PjjMPSi+wckl7gb7aHJTlvsiGuAIDNqbX2gCS/0lr7pyRXpb9EvX7YfWySByd5XHrccWiS3UkuT/KLVXXxXNcUVwAAo0FfT8pMAZ0dSXbO2r8gcQUAHPAm8cD5o7YT0xcUuHyYAJ8Mg9NnDxyvqjtaa+9J8v1Jnpn+fuRnW2snJvnr9AHnhyd5epKXpL83SZKPVtX7pujfjyW5vqquWOT3AgD2v2XFFYPnJvm59Hchk4UIntRae1T6xLjj0xddPCJ98YJDhn9bh/NPTfL/5umfuAIANo5lxRWttWPTf/vfk+TGJEdlZuL9Qekxw9OSvCi9kF/SY4+3V9W7p+ifuAIANo6VyFdk2De51hGZmR9ySJK/XUb/xBUAwF4U3wH2i8nKa1X1ttbatUlen54s3Z1eufQJs07ZnuSVUyZQAYBNZHg5+8Rhc2d68vSx6RPi53JzkovTB3mdn75a/IXJXqvDAgCb07XpK7Oenv6id3t6zvToeY7/VHrhnQv2T/cAgA1qS/r7j+PSJ7wnySVJvplMt+orALApTN5RfH7Udtzw7/PTvMMYVmZ9cZKPJXlk+gD15yV5cnpMcvisU96d5OXTdK6q/nGa4wCAdWFZcUVr7bAkb0iPJSYT3x6WPjF+UmRnroWPkuSK9AUO7rQy/IS4AgA2lOXmK3YleW2SV6UvTPCF9CI8RyY5IX2h5ruPjr8iyVuS/O40nRNXAMCGsuz3IHN4SpJb0sd5XpeZxRYXTVwBAMym+A6w31XVH7XWPps+4Os/pE+Uvyb9gefyJOck+XBV3bB2vQQA1rFbk3wjyaPSV1NLZgZ5XZrkovQiOxck+WJVXbnfewgAbBQ3p68C//j0AeX3Gu27dvj3tfQifmdV1WeTpLXWTJoHAOZTVbtba0ckedDQdEWSv7JaGgCQJMNKrpNJ7bvScxNJLwx8jyR3GY47MsmD0ye+PyHJG6vqklnXakMBnu9L8tYkT01yWmYmsd2R5OokX0nykSQfrKolD0QHANaXFYwrdmUmfqjhmg/K3m5JX/jo80k+O/y9uKpuWqnvAwCsnZWIK4Y8xfWttVvSJ9Ufk+TUOW53e/oY0H9I8oEkf11VO1fhawEAa2Al34OMrzkU63laZuaQnDe6DwDAsjVzRIC11Frbmv7AdGz6hLcbq+q2te0VALCetda2JfnVJM9M8sn0IjsXJrl0idXPAYBNqrXW0l/aPit9cNdN6ZPSdiTZnuSb6QO+bqiqXWvVTwBg4xnyF8ck2S5fAQDsS2vtyswUBf56+iJG95p12E9U1fv3cZ3vSs91HJo++Pzm9BXmv1hV161knwGA9WmpcUVr7bwkj06yezjvovQiO5OFjxQVBoBNZrFxxWRSfGvtTUl+JH1y/U3pixRcneSG9LEY/5jk76rqy6v+JQCAdWEl3oMMRX1emT4X9dwkf2/BAQBgJSm+AwAAAAAwGFZikzQFAAAAVlxr7fAkj0/yuPSVXB+a5KQk29ILA1eSg5O0OU5/W1X9wgLX3iunIccBAAe2lY4rWmsPS1+N/mKFhAFgc1mpuGKSi2itHT0cf02SQ5LcLcnO4d/t8hUAcOBazfcgAACrbdtadwAAAAAAYL0wyAsAAABYRc9L8o70FV1nO3jW9i1JLk5yQfqK8H+x0IVn5zTkOADggLeicUVVXbjSHQQANowViSsmuYiqunZ0/K4kN69kZwGAdW3V3oMAAKw2xXcAAAAAAAAAAABW39eSbE9f5XXsq0kuSnJ++iDzL1TVlfu5bwDAxiKuAABWirgCAFgp4goAYMNSfAcAAAAAAAAAAGD1XZbkz5LsTnJekguTXFpVe9a0VwDARiSuAABWirgCAFgp4goAYMNqVbXWfQAAAAAAAAAAAAAAAAAAAAAAgP1qy1p3AAAAAAAAAAAAAAAAAAAAAAAA9jfFdwAAAAAAAAAAAAAAAAAAAAAA2HQU3wEAAAAAAAAAAAAAAAAAAAAAYNNRfAcAAAAAAAAAAAAAAAAAAAAAgE1H8R0AAAAAAAAAAAAAAAAAAAAAADYdxXcAAAAAAAAAAAAAAAAAAAAAANh0FN8BAAAAAAAAAAAAAAAAAAAAAGDTUXwHAAAAAAAAAAAAAAAAAAAAAIBNR/EdAAAAAAAAAAAAAAAAAAAAAAA2HcV3AAAAAAAAAAAAAAAAAAAAAADYdBTfAQAAAAAAAACAA1xr7eTWWo3+vW6t+wQAAAAAAAAAAGtN8R0AAAAAAAAAAFgjcxTFWY1/r1vr7wkAAAAAAAAAAOuR4jsAAAAAAAAAAAAAAAAAAAAAAGw6iu8AAAAAAAAAAAAAAAAAAAAAALDpbFvrDgAAAAAAAAAAwCb2jSSnTHnsHyd57Gj7R5OcO8V5305y5KJ6BQAAAAAAAAAAm4DiOwAAAAAAAAAAsEaqaleSr09zbGtt56ymq6pqqnPTC/C0qTsGAAAAAAAAAACbwJa17gAAAAAAAAAAAAAAAAAAAAAAAOxviu8AAAAAAAAAAAAAAAAAAAAAALDpbFvrDgAAAAAAAAAAABtHa+2gJN+X5OQk90xyU5LPJTm3qmqB87YleXyShyY5Msn1SS5Jck5V7Vpmn7YleUyS+w192pJke5KLk5xfVXuWc30AAAAAAAAAAA5Miu8AAAAAAAAAAMABrrV2cpKvjZrOrKrXLebY1tphSV6d5CVJjp3j1K+01l5aVR+fdb2tSX4+yS+nF8aZbXtr7RVV9d4pv8742iclOSPJ89ML+szlmtba7yR5c1XtWOw9AAAAAAAAAAA4cG1Z6w4AAAAAAAAAAADrW2vtPknOTfLKzF14J0kekOQvW2s/Pjrvbkn+KslbM3fhnQzt72mtnbHIPr0syZeT/HTmL7yTob+vSfKl1tp3L+YeAAAAAAAAAAAc2LatdQcAAAAAAAAAAIB17ZAkH0vykGH7+iTnDX/vleQJSe4y7Nua5J2ttfOTXJrkQ0meMuy7Ob2Az/YkRyV5YpLDR/c5s7V2TlX97b461Fr770l+flbz7UkuSPLNJLuTnJTkUUOfkuSEJJ9qrT2xqi7e1z0AAAAAAAAAADjwKb4DAAAAAAAAAAAs5GeSHJnkhiQvT/Luqto92dlaOzbJe5M8c2g6JMmZ6YVwnpFeFOfVSX6rqnaOzrtbkrcn+cnRvd6c5DELdaa19u+zd+GdHUnOSPJ7VbVj1rH3TvKmJC8amo5K8oHW2mOr6rZ9fG8AAAAAAAAAAA5wW9a6AwAAAAAAAAAAwLp2ZJJbkjylqt45LryTJFV1TZLnJ7ls1Pz89II4e5I8r6r+67jwznDejvSiOP8wan50a+3B83WktXZikreNmrYneXRV/ebswjvDPa6qqhcnecOo+WFJfnq+ewAAAAAAAAAAsHkovgMAAAAAAAAAAOzLa6rqgvl2VtWtSX571HRQksOS/I+q+ssFztuT5DdnNT95gX78QpJDR9s/UVWXLHD8xBlJzh9t/+cpzgEAAAAAAAAA4ACn+A4AAAAAAAAAALCQHUneMcVxZ8/arty5sM405z1sroNaawcnecmo6Zyq+usprp+qqiS/NWp6QGvttGnOBQAAAAAAAADgwKX4DgAAAAAAAAAAsJDPVNWOKY77p1nbX6mqy/d1UlVtT3LTqOnYeQ59dJLDR9sfmqJPY+fM2n7iIs8HAAAAAAAAAOAAs22tOwAAAAAAAAAAAKxrl0x53I2ztr+8iHvcmJnCOkfMc8zsYjnXtNZOXsQ9Dpm1feoizgUAAAAAAAAA4ACk+A4AAAAAAAAAALCQG6Y5qKp2tdYWfd5g1+jzQfMcc99Z2+9fxPXnco9lng8AAAAAAAAAwAa3Za07AAAAAAAAAAAArGt79vN581npYjl3W+HrAQAAAAAAAACwwSi+AwAAAAAAAAAAbAQHrfD12gpfDwAAAAAAAACADWbbWncAAAAAAAAAAABgCtfN2j6lqr6+Fh0BAAAAAAAAAODAsGWtOwAAAAAAAAAAADCFq2dt339NegEAAAAAAAAAwAFD8R0AAAAAAAAAAGAjOHfW9lPXpBcAAAAAAAAAABwwFN8BAAAAAAAAAAA2gk8luX20/aOttYPXqjMAAAAAAAAAAGx8iu8AAAAAAAAAAADrXlXdnOQPR00nJnnFGnUHAAAAAAAAAIADgOI7AAAAAAAAAADARvHGJLePtn+ttXb6Yi7QWjuytfaCle0WAAAAAAAAAAAbkeI7AAAAAAAAAADAhlBVX0vyn0ZNW5K8p7X2x621R8x3XmvtsNbac1pr70ryL0lescpdBQAAAAAAAABgA9i21h0AAAAAAAAAAACYVlX9XmvtlCSvGjX/SJIfaa1dleSiJNemF+Y5MskpSU6LhcoAAAAAAAAAAJhF8R0AAAAAAAAAAGBDqapfaa39Y5K3JzlitOvew799uX5VOgYAAAAAAAAAwIZiNScAAAAAAAAAAGDDqar3JTk5yZlJvj7FKZcl+f0kT0/yg6vWMQAAAAAAAAAANoxWVWvdBwAAAAAAAAAAgGVprZ2a5HuSHJPkqCR3JLkxydeSfKmqvrGG3QMAAAAAAAAAYB1SfAcAAAAAAAAAAAAAAAAAAAAAgE1ny1p3AAAAAAAAAAAAAAAAAAAAAAAA9jfFdwAAAAAAAAAAAAAAAAAAAAAA2HQU3wEAAAAAAAAAAAAAAAAAAAAAYNNRfAcAAAAAAAAAAAAAAAAAAAAAgE1H8R0AAAAAAAAAAAAAAAAAAAAAADYdxXcAAAAAAAAAAAAAAAAAAAAAANh0FN8BAAAAAAAAAAAAAAAAAAAAAGDTUXwHAAAAAAAAAAAAAAAAAAAAAIBNR/EdAAAAAAAAAAAAAAAAAAAAAAA2HcV3AAAAAAAAAAAAAAAAAAAAAADYdBTfAQAAAAAAAAAAAAAAAAAAAABg01F8BwAAAAAAAAAAAAAAAAAAAACATUfxHQAAAAAAAAAAAAAAAAAAAAAANp3/DzjYhm6yDgy3AAAAAElFTkSuQmCC\n",
       "text/plain": [
-       "<Figure size 5760x2880 with 1 Axes>"
+       "<Figure size 5760x2880 with 2 Axes>"
       ]
      },
      "metadata": {
@@ -82,16 +82,27 @@
     "    dynamic_env = SyntheticDEnv([mean_generator], [[std_generator]], num_per_task=100)\n",
     "    print(dynamic_env)\n",
     "    \n",
-    "    xaxis, yaxis = [], []\n",
+    "    function = DynamicQuadraticFunc()\n",
+    "    function_param = dict()\n",
+    "    function_param[0] = SinGenerator(num=timestamps, num_sin_phase=4, phase_shift=1.0, max_amplitude=1.0)\n",
+    "    function_param[1] = ConstantGenerator(constant=0.9)\n",
+    "    function_param[2] = SinGenerator(num=timestamps, num_sin_phase=5, phase_shift=0.4, max_amplitude=0.9)\n",
+    "    function.set(function_param)\n",
+    "    \n",
+    "    timeaxis, xaxis, yaxis = [], [], []\n",
     "    for timestamp, dataset in dynamic_env:\n",
     "        num = dataset.shape[0]\n",
-    "        xaxis.append(torch.zeros(num) + timestamp)\n",
-    "        yaxis.append(dataset[:,0])\n",
+    "        timeaxis.append(torch.zeros(num) + timestamp)\n",
+    "        xaxis.append(dataset[:,0])\n",
+    "        # compute the ground truth\n",
+    "        function.set_timestamp(timestamp)\n",
+    "        yaxis.append(function(dataset[:,0]))\n",
+    "    timeaxis = torch.cat(timeaxis).numpy()\n",
     "    xaxis = torch.cat(xaxis).numpy()\n",
     "    yaxis = torch.cat(yaxis).numpy()\n",
     "\n",
     "    cur_ax = fig.add_subplot(2, 1, 1)\n",
-    "    cur_ax.scatter(xaxis, yaxis, color=\"k\", linestyle=\"-\", alpha=0.6, label=None)\n",
+    "    cur_ax.scatter(timeaxis, xaxis, color=\"k\", linestyle=\"-\", alpha=0.9, label=None)\n",
     "    cur_ax.set_xlabel(\"Time\", fontsize=LabelSize)\n",
     "    cur_ax.set_ylabel(\"X\", rotation=0, fontsize=LabelSize)\n",
     "    for tick in cur_ax.xaxis.get_major_ticks():\n",
@@ -101,9 +112,9 @@
     "        tick.label.set_fontsize(LabelSize - font_gap)\n",
     "    \n",
     "    cur_ax = fig.add_subplot(2, 1, 2)\n",
-    "    cur_ax.scatter(xaxis, yaxis, color=\"k\", linestyle=\"-\", alpha=0.6, label=None)\n",
+    "    cur_ax.scatter(timeaxis, yaxis, color=\"k\", linestyle=\"-\", alpha=0.9, label=None)\n",
     "    cur_ax.set_xlabel(\"Time\", fontsize=LabelSize)\n",
-    "    cur_ax.set_ylabel(\"X\", rotation=0, fontsize=LabelSize)\n",
+    "    cur_ax.set_ylabel(\"Y\", rotation=0, fontsize=LabelSize)\n",
     "    for tick in cur_ax.xaxis.get_major_ticks():\n",
     "        tick.label.set_fontsize(LabelSize - font_gap)\n",
     "        tick.label.set_rotation(10)\n",
diff --git a/tests/test_synthetic_utils.py b/tests/test_synthetic_utils.py
index e28dcb9..17474da 100644
--- a/tests/test_synthetic_utils.py
+++ b/tests/test_synthetic_utils.py
@@ -15,6 +15,7 @@ if str(lib_dir) not in sys.path:
 
 from datasets import QuadraticFunc
 from datasets import ConstantGenerator, SinGenerator
+from datasets import DynamicQuadraticFunc
 
 
 class TestQuadraticFunc(unittest.TestCase):
@@ -24,20 +25,20 @@ class TestQuadraticFunc(unittest.TestCase):
         function = QuadraticFunc([[0, 1], [0.5, 4], [1, 1]])
         print(function)
         for x in (0, 0.5, 1):
-            print("f({:})={:}".format(x, function[x]))
+            print("f({:})={:}".format(x, function(x)))
         thresh = 0.2
-        self.assertTrue(abs(function[0] - 1) < thresh)
-        self.assertTrue(abs(function[0.5] - 4) < thresh)
-        self.assertTrue(abs(function[1] - 1) < thresh)
+        self.assertTrue(abs(function(0) - 1) < thresh)
+        self.assertTrue(abs(function(0.5) - 4) < thresh)
+        self.assertTrue(abs(function(1) - 1) < thresh)
 
     def test_none(self):
         function = QuadraticFunc()
-        function.fit([[0, 1], [0.5, 4], [1, 1]], max_iter=3000, verbose=True)
+        function.fit([[0, 1], [0.5, 4], [1, 1]], max_iter=3000, verbose=False)
         print(function)
-        thresh = 0.2
-        self.assertTrue(abs(function[0] - 1) < thresh)
-        self.assertTrue(abs(function[0.5] - 4) < thresh)
-        self.assertTrue(abs(function[1] - 1) < thresh)
+        thresh = 0.15
+        self.assertTrue(abs(function(0) - 1) < thresh)
+        self.assertTrue(abs(function(0.5) - 4) < thresh)
+        self.assertTrue(abs(function(1) - 1) < thresh)
 
 
 class TestConstantGenerator(unittest.TestCase):
@@ -59,3 +60,27 @@ class TestSinGenerator(unittest.TestCase):
             assert i == idx, "First loop: {:} vs {:}".format(i, idx)
         for i, (idx, t, x) in enumerate(dataset):
             assert i == idx, "Second loop: {:} vs {:}".format(i, idx)
+
+
+class TestDynamicFunc(unittest.TestCase):
+    """Test DynamicQuadraticFunc."""
+
+    def test_simple(self):
+        timestamps = 30
+        function = DynamicQuadraticFunc()
+        function_param = dict()
+        function_param[0] = SinGenerator(
+            num=timestamps, num_sin_phase=4, phase_shift=1.0, max_amplitude=1.0
+        )
+        function_param[1] = ConstantGenerator(constant=0.9)
+        function_param[2] = SinGenerator(
+            num=timestamps, num_sin_phase=5, phase_shift=0.4, max_amplitude=0.9
+        )
+        function.set(function_param)
+        print(function)
+
+        with self.assertRaises(TypeError) as context:
+            function(0)
+
+        function.set_timestamp(1)
+        print(function(2))