diff --git a/lbmpy/sparse/mapping.py b/lbmpy/sparse/mapping.py
index 244bc3939b9903678a481dacd3729bcb90c354da..a877d86078c435136c652e9de1b6fb5bbb595682 100644
--- a/lbmpy/sparse/mapping.py
+++ b/lbmpy/sparse/mapping.py
@@ -243,18 +243,7 @@ class SparseLbPeriodicityMapper:
     
     def get_pdf_read_idx(self, read, ghost, write, direction, direction_idx):  
         if self.flag_arr[tuple(read)] & self.no_slip_flag: # Read cell is no-slip!
-        #if (self.flag_arr[tuple(read)] | self.flag_arr[tuple(ghost)]) & self.no_slip_flag: # Read cell is no-slip!
             raise ValueError("Read Cell is solid!")
-            
-        #    # Change read cell to that cell that later wants to pull from the solid cell, get inverse PDF from it
-        #    read = [cell_i + dir_i for cell_i, dir_i in zip(write, direction)]
-        #    if self.flag_arr[tuple(read)] & self.no_slip_flag: 
-        #        # New read cell is no-slip as well! This can be a problem if pdf_index ends up being out-of-bounds, so the only operation is to pull read from the same place as write, changing nothing
-        #        read = write
-        #    else:
-        #        # Direction has to be flipped
-        #        direction_idx = inverse_idx(self.mapping.stencil, direction_idx) 
-        #    #print("Neighbor is solid, new read is", tuple(read), "at dir", direction_idx)
         return pdf_index(self.mapping.cell_idx(tuple(read)), direction_idx, len(self.mapping))
     
     def get_assignment(self, direction, cell, bool_slice):
@@ -313,68 +302,54 @@ class SparseLbCommunicationMapper:
     
     def __init__(self, mapping: SparseLbMapper, dh, pdf_field_sparse):
         index_field = Field.create_generic("idx", spatial_dimensions=1, index_dimensions=1, dtype=np.int64)
-        self._coordinates_all = None
         self.pdf_field_sparse = pdf_field_sparse
         self.index_field = index_field
         self.mapping = mapping
         self.flag_arr = mapping._flag_arr
         self.domain_size = self.flag_arr.shape
         self.no_slip_flag = mapping.no_slip_flag
+        #self._ghost_cells = None
+        #self._border_cells = None
         self._parallel_index_array = None
         self._bounce_back_index_array = None
         self._send_packages = None
         self._receive_here = None
         self._received_packages = None
-        self._send = None
         self._kernel = None
         self._dirty = True
         
-    def _assemble(self):
-        self._coordinates_all = np.argwhere(np.bitwise_or(self.mapping._flag_arr, 1)).astype(np.uint32)
-        
-    
-    def _at_border(self, cell):
+    def _ghost(self, cell):
         return True in [cell_i == 0 or cell_i  == ds_i-1 for cell_i, ds_i in zip(cell, self.domain_size)]
     
-    def _ghost_cells(self):
-        if self._dirty:
-            self._assemble()
-        border_bool = [self._at_border(cell) for cell in self._coordinates_all]
-        return self._coordinates_all[border_bool]
+    #def _ghost_cells(self):
+    #    return [cell if self._ghost(cell) for cell in self._coordinates_all]
+    
+    @property
+    def ghost_cells(self):
+        ghost_bool = [self._ghost(cell) for cell in self.mapping._coordinate_arr[:self.mapping.num_fluid_cells]]
+        #self._ghost_cells = 
+        return self.mapping._coordinate_arr[:self.mapping.num_fluid_cells][ghost_bool]
     
     def _at_border_not_ghost(self, cell):
-        if self._at_border(cell):
+        if self._ghost(cell):
             return False
         return True in [cell_i == 1 or cell_i  == ds_i-2 for cell_i, ds_i in zip(cell, self.domain_size)]
+    @property
+    def border_cells(self):
+        border_bool = [self._at_border_not_ghost(cell) for cell in self.mapping._coordinate_arr[:self.mapping.num_fluid_cells]]
+        #self._border_cells 
+        return self.mapping._coordinate_arr[:self.mapping.num_fluid_cells][border_bool]
     
-    def _border_cells(self):
-        if self._dirty:
-            self._assemble()
-        border_bool = [self._at_border_not_ghost(cell) for cell in self._coordinates_all]
-        return self._coordinates_all[border_bool]
-    
-    def _get_assignment(self, direction, cell, neighbor, bool_slice):
-        cell = tuple(cell)
-        #print("pack:", cell, "neighbor:", tuple(neighbor))
-        if (self.flag_arr[cell] | self.flag_arr[tuple(neighbor)]) & self.no_slip_flag :
-            #print("is solid")
-            return -1
-        cell_idx = self.mapping.cell_idx(cell)
-        direction_idx = self.mapping.stencil.index(direction)
-        pdf_cell_idx = pdf_index(cell_idx, direction_idx, len(self.mapping))
-        return pdf_cell_idx
-    
-    def _get_assignment_rec(self, direction, cell, neighbor, bool_slice):
-        cell = tuple(cell)
-        #direction_idx = self.mapping.stencil.index(direction)
-        #print("pack:", cell, "neighbor:", tuple(neighbor))
-        fluid = True
-        if (self.flag_arr[cell] | self.flag_arr[tuple(neighbor)]) & self.no_slip_flag :
-            #print("is solid")
-            fluid = False
-        #cell_idx = self.mapping.cell_idx(cell)
-        #pdf_cell_idx = pdf_index(cell_idx, direction_idx, len(self.mapping))
-        return tuple([fluid, cell, direction])
+    #def _get_assignment(self, direction, cell, neighbor, bool_slice): #Falls man auf solide Zellen achten muss
+    #    cell = tuple(cell)
+    #    #print("pack:", cell, "neighbor:", tuple(neighbor))
+    #    if (self.flag_arr[cell] | self.flag_arr[tuple(neighbor)]) & self.no_slip_flag :
+    #        #print("is solid")
+    #        return -1
+    #    cell_idx = self.mapping.cell_idx(cell)
+    #    direction_idx = self.mapping.stencil.index(direction)
+    #    pdf_cell_idx = pdf_index(cell_idx, direction_idx, len(self.mapping))
+    #    return pdf_cell_idx
     
     def create_packages(self):
         stencil = self.mapping.stencil
@@ -382,16 +357,19 @@ class SparseLbCommunicationMapper:
         for direction_idx, direction in enumerate(stencil):
             if all(d_i == 0 for d_i in direction): # Direction (0,0) irrelevant
                 continue
-            #print("\n New direction:", direction, ", ", direction_idx)
+            print("\n New direction:", direction, ", ", direction_idx)
             periodic_slice_coord = [[int((ds_i-1)*(1+dir_i)/2-dir_i)] if dir_i != 0 else [] for i, (dir_i, ds_i) in enumerate(zip(direction, self.domain_size))]   
-            for cell in self._border_cells():
+            for cell in self.border_cells:
                 bool_slice = [cell_i in slice_i for (cell_i, slice_i) in zip(cell, periodic_slice_coord)]
                 if True in bool_slice: # This ghost cell needs this direction value
                     # block_direction: where to put this part of index_array (which block to send to...)
                     block_direction = [int(bp_i)*dir_i for dir_i, bp_i in zip(direction, bool_slice)]
                     block_index = self.mapping.stencil.index(tuple(block_direction))
-                    neighbor_ghost_cell = [(cell_i + dir_i*int(bs_i)) for cell_i, dir_i, bs_i in zip(cell, direction, bool_slice)]
-                    result[block_index-1][direction_idx-1].append(self._get_assignment(direction, cell, neighbor_ghost_cell, bool_slice))
+                    #neighbor_ghost_cell = [(cell_i + dir_i*int(bs_i)) for cell_i, dir_i, bs_i in zip(cell, direction, bool_slice)]
+                    #result[block_index-1][direction_idx-1].append(self._get_assignment(direction, cell, neighbor_ghost_cell, bool_slice))
+                    cell_idx = self.mapping.cell_idx(cell)
+                    print(cell, cell_idx)
+                    result[block_index-1][direction_idx-1].append(pdf_index(cell_idx, direction_idx, len(self.mapping)))
                     #print("Goes into", block_index-1, direction_idx-1)
         self._send_packages = result
         return result
@@ -403,9 +381,9 @@ class SparseLbCommunicationMapper:
         for direction_idx, direction in enumerate(stencil):
             if all(d_i == 0 for d_i in direction): # Direction (0,0) irrelevant
                 continue
-            #print("\n New direction:", direction, ", ", direction_idx)
+            print("\n New direction:", direction, ", ", direction_idx)
             periodic_slice_coord = [[int((ds_i-1)*(1-dir_i)/2)] if dir_i != 0 else [] for (dir_i, ds_i) in zip(direction, self.domain_size)]          
-            for cell in self._ghost_cells(): # Fluid and solid ghost cells
+            for cell in self.ghost_cells: # Fluid and solid ghost cells
                 bool_slice = [cell_i in slice_i for (cell_i, slice_i) in zip(cell, periodic_slice_coord)]
                 periodic_coord_range = [[1 - dir_i, ds_i - 2 - dir_i] for dir_i, ds_i in zip(direction, self.domain_size)]
                 bool_range = [pcr_i[0] <= cell_i <= pcr_i[1] for pcr_i, cell_i in zip(periodic_coord_range, cell)]
@@ -414,56 +392,21 @@ class SparseLbCommunicationMapper:
                     # block_direction: where to put this part of index_array (which block to send to...)
                     block_direction = [int(bp_i)*dir_i for dir_i, bp_i in zip(direction, bool_slice)]
                     block_index = self.mapping.stencil.index(tuple(block_direction))
-                    future_pull_cell = [(cell_i + dir_i) for cell_i, dir_i, bs_i in zip(cell, direction, bool_slice)]
-                    result[block_index-1][direction_idx-1].append(self._get_assignment_rec(direction, cell, future_pull_cell, bool_slice))
+                    #future_pull_cell = [(cell_i + dir_i) for cell_i, dir_i, bs_i in zip(cell, direction, bool_slice)]
+                    cell_idx = self.mapping.cell_idx(cell)
+                    cell_idx = self.mapping.cell_idx(cell)
+                    print(cell, cell_idx)
+                    result[block_index-1][direction_idx-1].append(pdf_index(cell_idx, direction_idx, len(self.mapping)))
+                    #result[block_index-1][direction_idx-1].append(self._get_assignment_rec(direction, cell, future_pull_cell, bool_slice))
                     #print("Goes into", block_index-1, direction_idx-1)
         self._receive_here = result
         return result
     
-    def send(self):
-        stencil = self.mapping.stencil
-        self._send = []
-        for block in self._send_packages:
-            block_array = []
-            for direction in block:
-                if (direction):
-                    for val in direction:
-                        if val != -1:
-                            block_array.append(val)
-            self._send.append(block_array)
-        
     def create_index_array(self):
         #During initialization, somehow receive packages ... 
         self._received_packages = self._send_packages #tmp
         self._parallel_index_array = []
-        self._bounce_back_index_array = []
-        for block, (block_rec, block_here) in enumerate(zip(self._received_packages, self._receive_here)):
-            place = 0
-            for j, (dir_rec, dir_here) in enumerate(zip(block_rec, block_here)):
-                for val_rec, val_here in zip(dir_rec, dir_here):
-                    dir_idx = j+1
-                    if not val_here[0]:
-                        #print(val_rec, val_here, place, "jump")
-                        place += 1
-                        continue
-                    elif val_rec == -1: #Nothing will be received, because the sending cell is solid -> bounce-back rule
-                        read = [cell_i + dir_i for cell_i, dir_i in zip(val_here[1], val_here[2])]
-                        #print(val_rec, val_here, place, "bounce back:", read)
-                        if self.flag_arr[tuple(read)] & self.no_slip_flag:
-                            continue
-                        read_idx = self.mapping.cell_idx(tuple(read))
-                        write_idx = self.mapping.cell_idx(val_here[1])
-                        inv_dir_idx = inverse_idx(self.mapping.stencil, dir_idx)
-                        pdf_write_idx = pdf_index(write_idx, dir_idx, len(self.mapping))
-                        pdf_read_idx = pdf_index(read_idx, inv_dir_idx, len(self.mapping))
-                        self._bounce_back_index_array.append([pdf_write_idx, pdf_read_idx])
-                    else:
-                        write_idx = self.mapping.cell_idx(val_here[1])
-                        pdf_write_idx = pdf_index(write_idx, dir_idx, len(self.mapping))
-                        self._parallel_index_array.append([pdf_write_idx, block, place])
-                        #print(val_rec, val_here, place, "default")
-                        place += 1
-                
+         
             
 class SparseLbBoundaryMapper:
     NEIGHBOR_IDX_NAME = 'nidx{}'
diff --git a/lbmpy_tests/simple_sparse_shear_flow.ipynb b/lbmpy_tests/simple_sparse_shear_flow.ipynb
index cc3f9a5f40bc40ecac9a38cddd40cd15bd2e79fa..5e612bcf0ac5270e4f670e2f1a2db0b39b830b02 100644
--- a/lbmpy_tests/simple_sparse_shear_flow.ipynb
+++ b/lbmpy_tests/simple_sparse_shear_flow.ipynb
@@ -56,6 +56,7 @@
     "domain_size = (150, 50)\n",
     "dim = len(domain_size)\n",
     "\n",
+    "\n",
     "# timesteps = 200"
    ]
   },
@@ -114,7 +115,7 @@
     {
      "data": {
       "text/plain": [
-       "<matplotlib.quiver.Quiver at 0x7f9528d58d00>"
+       "<matplotlib.quiver.Quiver at 0x7f5feef02970>"
       ]
      },
      "execution_count": 8,
@@ -123,7 +124,7 @@
     },
     {
      "data": {
-      "image/png": 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\n",
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HhwcAwwtGj7929uxZjBgxQi9Gly5dEB4ejvDwcAwcOFC46qf7PrRarUEiIr2ff/vtN8yYMUMvbsuWLREaGoqwsDAEBAQIV5l1x4OamhpUV1cL7YBuve7yyJEjRo9B3bt3R1BQEIYMGQIvLy8olUpkZWUhIyPDoE9WN+leLyoqemLZAkBUVBTeeecdODo61tuX1iWtVosvv/zSoJ/eokULhISEIDQ0FIMHDxZmimRmZqKoqKjePnTd/vXx48eRnJxsNI9OTk7w9fUV+tM2NjZ6bWRDx80VK1YYtL3Ozs4YMmQIQkJCEBQUBHt7+6cqq2chkUiSiaiPwRvGRqNGKnVb1Lni+dh70QC+fZo4/+1XPBctWmRwdqSpydPTkxITE0WP6+/vT7GxsaLG7NWrF82bN48CAgJEjdu5c2eaP38+eXt7ixbzueeeo7fffpuOHDkiXM0VKw0aNIiSkpLI2dlZtLx+8MEHlJ2dTVqt1uhVtmdNEomEgoKCaOvWraRWq6m2tlb0Oubo6Gj0KlBjU9++fSkpKYmKi4spJSVFtLguLi40c+ZMunbtGh0/flyUmNbW1jR9+nS6cOECERH9+uuvopftyy+/TEuWLBH9e+vVqxe9+uqrosaUSqXk7+9PEydOFC2ms7Mz/e1vf6NLly7pXXUVI7Vt25amTp1KMTExosX08/Ojr7/+msrKymjkyJGi5lehUFB8fDwFBgaKFrNLly701ltv0W+//UYvvviiaHFdXV3prbfeoosXLxqdkdGU1KFDB3rrrbfIzc1NtJi6q6ErVqwghUIhejmcPHlS1DLo2LEjLVy4kE6fPi1qXODRLJ+///3vosa0trammJgY0ffhHj160MqVK2njxo2ixtW1vQsWLBC9fHv16kVTp04VJZZMJqOYmBjavXs3aTQaWrFihWj5tLGxoYSEBNq4cSO9/vrrosVVKpU0ZMgQWr16tej9XnNzc4qJiSF/f39R4rVo0YLmzZtHt2/fJqL/m0kj1nfn5+dHy5cvpxdeeEHUcujZsyetWLGCOnXqJFpMqVRK/fv3p8WLF1NhYaFoYyrUc8Wz6Td3AeMBbKnvTYlEMhnAZABo3bq1CB/XfMSaD+/k5ISYmBgMGzYMgwYNwrvvvvtUvyeRSKBQKOo9C9itWzfEx8cjLi4OXbp0wdSpU0XJL/DojFpoaCiio6Nx9+7dereTSqWwsLCAhYWFcO/arVu3DLZzc3PD8OHDMWLECPTq1QsSiQQnTpwQLb/37t1DSkoKOnXq1OA8e1NTU1haWsLKygqWlpaoqKgweja/R48eGDlyJBISEtCqVSsAj64o1L053dTUFCqVCiqVCo6Ojnrrly9fxpYt/7cbmJubIyEhARMnTkT//v315uo7OTnhwYMHws+2trZwcnIymg4fPoytW7cK27q6umL8+PGYMGEC2rVrp/c3KJXKJz4gRS6Xw8zMDDU1NUav+NnZ2SEmJgYJCQnw8/MDERlc2be0tISjo6NQBnXXf/rpJ5w8eVLY1t7eHqNHj8aECRPQrVs34XVj+ZTJZMK9e4+nvXv3IiUlRe/vGDp0KMaNG4chQ4YI96k+XhdNTEygUqng5OQEZ2dng+WHH36Iy5cvC9t7enpiypQpiIuL07s/qKH7NKVSqV4ds7S0REpKCsrLy/W2s7CwQFRUFBITExEYGAi5XG5wFrI+5ubmMDMzQ1FRkdGz+R4eHkhISEB8fDw6d+6M7777Dp988kmDMZVKJczMzGBubo6HDx9Cq9UabOPl5YWEhAQMGzYMLi4uSEpKwhdffKG3jUQiga2tLezs7PSW1tbW2LBhg15chUKByMhIjB07Vu97M3ZFsLG6deuG6OhoREdHY/PmzQbvW1paGq1jJiYmWLt2rd62bdq0wUsvvYSxY8fq7W9Pc6+Mbl+Ty+UGV4yAR/U9KCgICQkJiIyMhI2NDaKjoxvxFxt39+5dXL58GW3btq03v1ZWVrCxsdFLJSUlOH78uN525ubmiImJwZgxY+Dv7y/c7yfG/YkAYG1tjfDwcMTExCA4OBg//PCDKHHlcjkCAgIQHR2NoUOHYtmyZUavNlpYWMDa2lq4J93a2hrp6em4efOm3naWlpaIjY3FqFGj4OfnBxMTk0cdKZnMYIaDRCIR4tnY2AjL1NRUg2OQg4MDhg8fjtGjR6Nv376QSCRPNYtGR6FQCFdkHmdlZYXIyEjEx8cjKCgImZmZWLx48VPHboidnR0iIiIQFRWFli1bYuHChQbbSCQSoUzrpnPnzhnsF61atcLIkSMxcuRI4ere0aNH6/18qVSq1+5aWlri+vXrBlcRLSwsEB0djcTERAwePBhyuRw7d+58qr/RzMxMaHuNtZEeHh6Ij49HQkICOnfujG+//RafffaZQTnpjpN1k729PRYuXKg3y+G5557DhAkTMHr0aDg5OT1VHp9VWVkZcnJykJeXJ+oDAc3MzODo6AhXV1fR7uW2sLBAaGgoYmNjERoaitdff13vfblcLvTF6iZHR0eUlZXpzQoxMTFBeHg4Jk6ciODgYL3nW4h1DzMAuLu7w8fHB4GBgdi1a1e925mYmAj11sLCAtXV1bh3757Bdp06dcKIESMwYsQIdO3aFcCjZ5aIQaFQ6LWRtra2osRtyBOn2gKARCJpC2AX/WeqbZ3X5wHoAyCGniLQf/tU29u3byM1NRUKhQJKpbLBdPbsWfj6+gq/6+LigpiYGMTFxcHb21uvEt+4cQP37t2DmZkZTE1N6026xrBu50PXqMXFxQkVTufSpUtIS0uDTCaDiYmJQar7+t69ezF79mzhdyUSCQYMGICoqChERUXpTcu6ePEi8vPzhcFl3aWpqaneIGrp0qWYN28egEeDjLi4OIwYMQLe3t4GDws4efIkcnNz9fJQd1l3fevWrdiwYYPe77u6uiI8PBxDhw6Fv78/zM3NAQCnTp1CVVWVwQHIwsLC4ME5EyZMwJdffgkAaN++PRITEzFixAg8//zzeNyZM2cglUqFRqyhBxUEBATg4MGD6Nu3LyZMmIDhw4fX+1COEydOCA9yUalU9T5IgIjQo0cPXLlyBaGhoZg0aRJCQ0PrfRjQvn37hM5ufUlXLwcOHCicCLCxsUFUVBQSEhIQEBBgkJ+DBw/C3t5eOFjWN9Cvrq5Gq1atkJOTg8GDB2PixImIjIw0un1tbS0OHTqk1/G3srIyejN9eXk5WrRogZKSEvTo0QPjxo1DYmIiHB0dDbZVq9U4ceKEMLC0t7ev96EV2dnZaNmyJSwsLDBmzBhMmjRJb3BcV3FxMU6fPq1Xv3T17fF9Ijs7G61bt0Z1dTVkMhmCg4ORmJiIoUOHGtSh3NxcJCcnC9+PboBZNymVSkgkEjx48ADt27cXOrhdunQRBpvu7u56cbOysnDp0iWYm5vrpbqfoasLV69eFTp5APDiiy8KcXUnYXQyMjKQmpoqDC51D+AxVsY///wzwsLCADwa0I8dOxYJCQmws7Mz2PbmzZtITU0V2iyZTFbvenJyMsaMGSP8rq4ti46ORlRUlN40/Fu3buHhw4dCHbOzs6v3BOMnn3yCGTNmwNTUFMOGDcO4cePg6+tr9G+7fPkyHj58qPd9Pf7d6fbTNWvWYPr06QAedTT8/f2RkJCA6Ohog+lNZ86cwcOHD43m7/F9Y9euXVi3Tv+5DSqVCmFhYYiIiEBgYKDQ+fv9999RUVGhNwCysrIy2tmaOnUqkpKSIJFIEBAQgNGjRyMmJsboyZcjR46gvLwccrkccrkcMplMWH/85wULFuCrr74SftfR0RFRUVGIiYmBv7+/3vdy4MABqNVqveNYfct58+bpDSIsLS2Fk6ihoaF67fBvv/0GhUKhNwCytLQ02qZ6enri9OnTMDExQVBQEEaPHm10HwaA/fv3C4NXXRlbWloa1B2tVovnn38eN27cgFKpREREBEaPHo3g4GCDdre2thb79u0z2leo25fQlZsurq4MIiMjERcXhyFDhui1wRUVFThw4MATy1Umk0EikSAoKEhvCm/Lli2FfoOPj49w8qG8vBwnTpzQK1sbGxuYm5sblEN+fj5atmyJqqoqWFtbY9iwYRg1ahQGDRpksG1hYSHOnj1r0O4aa3szMjLQtm1baDQayGQyhISEIDExEREREQbfW05ODn7//XeD9rbufqxre+/evYuOHTsKA8+G2t7s7GzcuHFDb3BZ3zH7119/RVBQECwsLJCQkIAJEyYYnKjW0T1QrG6/qW6q+9rt27eFNkfHxsYGISEhGDp0KIKDg4V2OCUlBampqZBKpXpJIpEYvJacnGww8GvTpg0iIyMRGRkJb29voT5cvXoVaWlpkMvlUCgUesvHX9u1axcmTZqkl9ehQ4ciNjYWQUFBeifOrl+/juLiYmGAWV+/AQBmz56NZcuWoUOHDpg4cSLGjh0LV1dXo9uePn0aubm5RvvSdZNUKsXGjRuxatUq4XelUim8vb0RFRWFyMhIvZOUZ86cQXl5uUFf2tLSEgqFQi/vL7/8snDys0WLFhg+fDgSExOFizd1/fbbb6ioqGjwWKlb/8c//oFNmzYJv2tpaYmwsDBERUUZtJFiEn2qLYCxAE4CMH+aGPQXmGr7LMLCwqhFixb06quv0pEjR5r8UCGiRzdZe3p6kru7Oy1cuJCuXbsmQk4fxe3Tpw8pFAoKDQ2ldevW0cOHD5sct6qqijp16kQjR46kXbt2kVqtFiG3j26ybtOmjTCt4N1336WzZ882+Wbo7Oxsat26Nc2YMYNOnTrV5JvBdbKysui1116jixcvihJP5969e7Rw4cJnfijRkxw/fpwsLS1p5MiR9OOPPzb5AR86R48epXfeeafJD7t53Pbt22nGjBl0/vx5UePu27ePNmzYQOXl5aLGXbBgAXl7e9PatWspLy9PtLhvvvkmtW/fnubMmSPKwwx0xo8fTy+88AItWbKEbt26JUpMIqIpU6bQ3LlzKSUlRbSYRI8ewCaXyyk4OJiSkpJEeQiFVqulcePGUVJSkigP6dHRaDTUuXNn8vX1pbVr1z7zQ7Aaitu1a1cCQB4eHjRnzhw6ceJEk49DBQUF1LdvX1q2bJmo7U5eXh5ZWFhQq1ataMaMGfTbb7+JcsxMT08nhUJBTk5ONGnSJNq9e7co7dmpU6eoT58+tGrVKlGOlTr79u0jHx8f+vzzz0Wd0rZjxw6ytLSkxMRE+ve//00VFRWixP3+++8JeHS7yNy5c+nMmTOitDsffPABRURE0JYtW0TLKxHR3LlzhVtlxGx7X331VerQoQPNnTtX1LZ3+fLl9MUXXzzzA/eeZOzYsQSA2rVrR6+//jodOHDgmR+MZkx4eDgBoN69e9OiRYvo4sWLojxcqHfv3qRSqWjSpEm0Z88eUfqStbW19MYbb9DBgwdFfZCOWq2m1q1bk6mpKUVGRtJXX31Fubm5TY6bl5dHLVu2pMmTJ9OhQ4dEaR+JiHJycsjc3JxUKhVNnDhRtDbyaaCxDxf6z6i1Lepc8ZRIJMEAPgQwiIhyG/hVPf/tVzyfVk1NDc6ePQtPT09RH2VfVVWF27dvG5xBa6rs7GwcPnwYISEhoj7KXjeVUIxHltd14cIFnDp1CuHh4WjZsqVocUtLS/WuRPz/6u7du6L+ux6mr6ioqFmmq9y4cQOdO3cW7XHzOnfu3EH79u1FjQk8Oqkpdl4rKirw448/IiQkBDY2NqLGbg6lpaXCv6MQ07Vr13DgwAFERESgbdu2osXVaDQwMTER/Xu7du0aKioq0Lt3b1FjnzlzBtXV1ejfv7+oU+WqqqpE/VcJOtXV1aL9+7W6rl+/3uCU6sb66aef0LlzZ3Tp0kXUuGq1WtR/9aHTXG1vSkqK8MCy/3YVFRVYs2YNQkJC8Pzzz4uW5+LiYmzatEn0fllhYSEuXrwILy+vv0TfLDU1FVevXkVgYKCofd/i4mKYmZmJ3j6cP38eZWVlGDBggKht5NOo74rn0zzVdhMAXwCOALIBzAcwB4ASgG6C/ikieuINh/8rA0/GGGOMMcYYY4bqG3g+8fQCEY0w8vJ6UXLFGGOMMcYYY+x/nnjzRBljjDHGGGOMMSN44MkYY4wxxhhjrFnxwJMxxhhjjDHGWKAwP/8AACAASURBVLPigSdjjDHGGGOMsWbFA0/GGGOMMcYYY82KB56MMcYYY4wxxpoVDzwZY4wxxhhjjDUrHngyxhhjjDHGGGtWPPBkjDHGGGOMMdaseODJGGOMMcYYY6xZ8cCTMcYYY4wxxliz4oFnI2RnZyMvL0/0uCkpKTh79izUarWocU+cOIFt27bh3r17ICJRY7NH9eGvUq5EhF27diE1NfUvk+e/Eo1Gg9ra2j87G0+tuLgYBQUFose9c+cOfvnll2aJzZpPfn5+s7QLW7duxY4dO5CWlvaXaHf+SvswEeHatWt/qTw3h7KyMly7dg1arVbUuJmZmfjuu+9w8+ZNUWPn5ubi9u3bf4n9AcBfJp86Fy5cwKVLl6DRaP7srPypdu/ejRMnTqCiouLPzorAZMGCBX/Yh61bt27B5MmT/7DPay5qtRpdunTBl19+ieTkZOTk5EChUMDR0RFSadPG8p6enli4cCF27dqFixcvIi8vD0qlEvb29pBIJI2KaWpqiuDgYLz33nv45JNPsH//fly7dg2FhYUwNTWFnZ1do2IfPXoU8+bNQ0lJCRwcHGBjY9Oo/D1uz549WLJkCcrKyqBSqWBlZSVK3BMnTuD48eNwc3ODmZmZKDEB4Ouvv0ZERAROnjyJ9PR0mJiYwMnJCSYmJk2K+8UXX+Df//43ZDIZXF1dmxwPACQSCfbs2YOwsDCsXr0aBw4cQEpKCkpKSmBlZQUrK6tG17MPP/wQZ8+ehY2NDRwcHBod53GrV6/GvXv34OrqCnNzc1FiAsBHH32EgoICtGzZEnK5XJSYWq0Wvr6++OGHH/DgwQNIpVI4Ozs3+burra3F+++/D41GAzc3N1HqAvCoM9GjRw8kJSXhwoULKCgogLm5eZPaGwAwNzdHREQEZs2ahW+++QYnT55EWloaNBoNHBwcoFAoGhW3qKgIW7ZsgZubGywsLBqdv8fduHED06dPR1FREezt7WFnZydK3CtXruDTTz+FqakpXF1dm3x80Dlx4gRWr14NAGjRooVo9feXX36Bj48PTpw4gfT0dEilUlHasvLycgQGBuKjjz7CP//5T+zfvx9Xr15FQUEBlEolbG1tG1Xftm/fjgMHDsDe3h729vZNymNd8+fPx+LFi3Hv3j1IJBK4uLhAJpM1Oe7mzZtx69YtuLm5QalUipDTR236O++8g9GjR+PQoUO4ffs21Go1HB0dYWpq2qTYS5YsQWpqKpycnGBtbS1KfgFg3bp1qKmpEXWfkMvliImJwd/+9jehHKqqquDg4NCk472lpSVef/11/O1vf8OqVauwb98+XLlyBfn5+VAqlY3uP0mlUnh6emLp0qU4evQo7t69C41GA5VK1ej2EQBKSkqwdu1a2NnZiXocvnXrFqKionDr1i1otVq4urqK0u6kpqZi+fLlkMlkoh7bysrK0LNnTyxbtgz79u3D1atXUVRUBAsLC9jY2DS6XE6fPo3NmzfD2toaKpVKtPLdsWMHVq9eDbVaDRcXF9H6qGlpafD19cX777+Pbdu24ezZs8jIyAARwcHBQZR2rT4LFy7MWrBgwTqDN4joD0u9e/em/xVr1qwhAHrJ2tqaAgMDaf78+bRv3z4qKip6pphqtZqWLl1qEFcXOyAggObMmUPbt2+n9PT0p4pZUlJCN2/epFdeecVoXABka2tL/v7+9NZbb9GmTZueOrZWqyVPT08hTufOnWnatGm0bds2KigoeKa/va6amhp67rnnhLjPP/88zZgxg3788UcqLi5udNyCggKysbEhqVRKXl5e9N5779HFixdJq9U2OqYuv926ddMrU1NTUxo0aBDNnTuXfv75ZyosLHzmuBkZGWRmZkYAyMLCgsLCwmjVqlV07dq1RudZo9FQRkYGtW3b1mhdcHFxoYiICFq0aBHt3buX8vLynjr2mTNnhDitW7emiRMn0vfff0/5+fmNyqvO7t27CQBJJBLq168fzZ8/n06dOkUajaZJcTds2EAASKlUUlBQEH300UeUkpLS5Prwyy+/6JWpmZkZ+fn50fz58+ngwYNUXl7eqLgLFy4kAGRlZUXR0dG0bt06evDgQZPySkS0bds2g3rg6OhIQ4cOpWXLltHRo0epsrLyqeNptVoqLS2ldevWGa1jUqmU3N3d6aWXXqJPP/2Uzpw5Q1VVVU8dPygoiCQSCfXv35+WLFkiyj5MRBQdHS3ksX379jR58mTasmUL5ebmNjqmVqulPn36CO1sXFwcrV+//qnb2PpoNBpyd3cX6m9gYCCtWLGiyWWh1WopICDAoC3z8fFpVFum0WgoMzOTkpOTadCgQfUeg6ytrWnQoEH0xhtv0MaNG5/6+JGVlSW0kR06dKDp06fTTz/9RKWlpY0tAiIiKiwsJAcHByF/SqWSfHx86N1336UDBw40eh8+ffo0ASC5XE4BAQG0cuVKun79epPrb15eHtnb2+uVqUQiIXd3d5o4cSKtX7+erl+/TrW1tc8U96efftI7Dr/++uu0Z88eqqioaFJ+165dK7Qzo0aNok2bNjX5OEFEdP78eZJKpQb1q2vXrjRu3DhKSkqiS5cuPfWxQ6PRUFZWFm3ZsqXBuuvr60t/+9vf6LvvvqPU1NSnzu/OnTuNto/du3enKVOm0L/+9a9GHZPi4+OFduzVV1+lPXv2PFMbXp8pU6YI+ZTL5eTt7U3vvvsuHTp0qNHxtVot+fr6Cv2c8PBw+uSTT+jmzZtN2i/UanW9/V6VSkVhYWG0cOFC2rNnzzP1c9RqtdB/atmyJU2cOJF++OGHZ+7vP66qqkqIK5FIqE+fPjR79mzav39/o8u2srKS7t27R15eXkbLQSaTUc+ePWnSpEmUlJRE586dI7Va3aS/oy4A58jIWFBCf+Dl8z59+tC5c+f+sM97VpmZmbh9+zYKCgqemPLz81FaWtpgPIlEgoEDB2LWrFkwNzdHTk4OcnNzkZOTY3S9qKjoqfKpUCgQExOD0aNHQyqV4uHDh8jKykJWVpbBenl5+VP//X379sW0adPQr18/lJWVobKyElVVVUaXuvWzZ89i7969Rv/23r17Y/DgwQgICMDAgQORmZmJgoKCBuPqlseOHcOhQ4cM4pqYmKBv375CXE9PT6Snp6OiogJarRZarRa1tbXC+uPp008/xQ8//KAXs2XLlggNDUVYWBj8/f1haWkJALh06RLy8vJQVFRkkAoLC/V+fvDgAYqLi+stW4lEAg8PD4SFhWHo0KGQyWRQq9VCqqqq0vtZlzZu3IjLly8bxHNzc0NgYCACAwMxePBg2NvbC1ffc3JykJ2dbXQ9Ly/vqacLvfDCC5g0aRI8PT0BANXV1UZTTU2NsP7+++8jLS1NL45UKsWLL76IoKAgDBkyBP369YNWq8WNGzdQU1MDjUYjLI2t19TU4I033kBOTo5eXHt7ewQFBSE4OBhDhgyBi4sLqqqqkJqaKkx51cXRrdddqtVqTJgwASUlJXpx27Vrh5CQEISEhMDPzw8WFhYoKSlBSkoKSktLUVJSgpKSEr31x38+evRovVPf5HI5XnzxRfj4+KB///5o06YNtFptvfnULQsLCzFu3DiD78/Dw0PI78CBA6FQKJCbm4ubN2+isLBQLxUUFBi8VlhYiKysrAbrglwuR79+/fDaa6/BwcFBqFN1l3XXKysrn6qOmZubY8SIERgxYgRcXFyE6VwNLU+fPo2pU6fqxWndujXCw8MRHh4OPz8/4UpPRkYGsrKyUFVVpdfGPL5eVVWFa9euYcuWLUbz2bNnT6HN8fb2Rn5+PvLy8vTqaH3p8OHDWL9+vUFMDw8Poe56e3tDqVTi3r17KCgogFqt1tvH6v6sWz948CC2b99uENfFxQWBgYEICgrC4MGD4eLiguvXryM7OxvFxcVG27O6KSMjA7m5ufV+ZxKJBN26dUNAQADCwsJQXl6OrKwsZGZmCsce3Xp2dvZTtzcKhQJxcXGYNm0a7O3tUVVVZdA+1F3q1tesWYPjx48bxPL29kZwcDCCg4Ph7u4OiUSC8+fPo7S0FGVlZSgtLW1w/cyZM/XuF3K5HH379oWvry98fHyEKwe1tbVC0h2LHn/tzTffxPXr1/XitW3bFqGhoQgNDYWfnx/Mzc2hVquFWQiP9z2M/VxYWPjE6ZCOjo6YM2cOfH19odVqhba7vmV1dTXmzJljMGVeqVTCx8cHQ4YMwZAhQ+Du7o6qqircvn273mNv3VRVVYXY2FiUlZUJMaVSKQYMGICwsDCEhoaiW7dukEgkKCoqwtWrV5Gfn/9Uqbq6+ol1rXXr1li0aBFat26N7OxsPHz40GjKzc196vrr6OiI8ePHIyYmBtXV1cjLy3tiXgsKCp5qKqiHhweWLFmCdu3aGZSlsf7O1atX8corr+jFMDMzE/bZ0NBQtG7dGsCjfu+DBw9QUVGB8vLyBlNaWprR/h7wqE4MGDAAfn5+8PPzg5ubG4qKioR9VVevjK2fOXMGn332mUHMdu3aCXXM398f1tbWSE1Nxf379/X60MaWDfXHHi+X4cOHY/z48bC0tBT6DI/3Req+tmPHDmzatEkvjomJCQYMGCC0OT169IBUKkVqaiqKior0jjX1pf379+PIkSMGeTQ1NYWXl5fQ3+vRowcuXLiAzMxMof4aWz5tGQCPZltOmTIF8fHxos0sk0gkyUTUx+ANY6PR5kr/7Vc833nnnXrPaj1LkkgkFBQURJs2baKKigqaPn26KHGff/55+uijj4SzM8OHD29yTHNzc5o0aRIlJycL5VD3zL8YydTUlEaOHKl3dVSMZGFhQRMmTKDu3buLFlOhUFBQUBCtWrWKWrRoIUpMqVRKISEhtHnzZqqoqCBbW1tRy0GhUNDMmTNFK9OJEyfS6dOnSavVUlFRkah5BUB2dnb097//XfS4PXr0ED2uQqGgwMBAmjVrlqhxvb29KSkpiTZu3ChqXEtLS4qKimpwhsOzJnd3d1qxYgVlZmbSkiVLRPuu1q5dK8xg0F3NFSOZm5tTZGQkff755zRu3DhRy9fExITCw8Np6NChosY1NzenuLg4g6uNYqT4+Hjq2bOnaPE8PT1p7dq1lJ+fT+3atWtyvHbt2tGyZcsoJydHOAa1bNlS1DJwc3OjmTNnkqmpqWgx7e3tacqUKXTo0CFR86pUKmnIkCH1zn5qTOrQoQMtXryY0tLS6ObNm6LXsZYtW4re9rZq1YqmTJlC8+fPFy3m4MGD6bvvvqOKigr66quvRIk5aNAg+u6774RZGx9//LEocWUyGcXExNCuXbuopqaGVqxYIWr5enh40MyZM2ns2LGixm3bti3Nnj2bEhISRI0rk8koIiJCtDayV69etHbtWuFKZXBwsKj5dXZ2psmTJ4va9gKP+tOTJ08mNze3JseysrKil19+mS5cuNAsYyrUc8Wz+Sb3/gU9fo+IUqmEg4ODcP9I3WRubo5Fixbpbd+xY0e89NJLGDNmDFq1aiW8rlKphHWpVAqVSgWVSgUnJydhqVuXSqWoex+smZkZEhISMGnSJPTv319vPrmrq6uwbmlpCRcXF7i6usLV1VVY1y3LysowbNgwYXt3d3dMmzYNo0aNMrg380n3hSgUCpiZmcHU1BQSiQQPHz402EapVCIkJATx8fGIiIiApaUlQkNDG4yrVCphamoKMzMz1NbWGj3rbmZmhvDwcMTHxyM0NBTm5ubo169fg3GfRc+ePeHr64vAwEB88cUXyMzMFN5TKBSws7ODra2tQUpNTcXBgwf1Ynl4eGDs2LEYOXKk3nf1NPf2mJiYQKlUClfmHqdQKBAUFIRhw4Zh6NChsLOzw2effSZcvbO2thbqlbOzs7Cu+3nz5s16V0t69eqFyZMnY8SIEXr38jTlXpO6pFIpfH19ERsbi+joaBARFi9eLErs559/HjExMYiOjoZCoRAtbtu2bREdHY3o6GiYmJhg2bJleu9LJBJYW1vDyspKb2ltbY2DBw+isLBQb/uuXbti9OjRSExMRNu2bQE8uvFfLM899xyio6MRFRWFO3fu4J///KfwnlQqhZ2dndFka2uLjz76SK+e2dvbIzExEWPHjkXv3r2FdsfZ2VnYRncvc906VndpY2ODhIQE4QqEhYUFRowYgcmTJ6NPnz6i3RtTH6lU+sS2TCaTCW2OTCYzeoVLKpXC398fcXFxiI6OhkqlwoQJE0TJo62tLSIiIhATE4OgoCCMGTPmqX5PIpFAJpOhpqbG6Pvu7u4YNmwYhg0bBnd3d4SEhOi9L5PJhLbLxsZGry3Lzs7Grl279LZv3bo1Ro8ejTFjxqBz587C666urrh79y4AwMHBAa6urmjRooVwHKq7fuTIEcydOxfAozINCwvDtGnTMGTIEIP7/MS6Z9XNzQ0xMTGIiYmBl5cXvvzyS1RVVRmUhe7+disrK1haWsLKygr3799Hamqq3rZmZmYYOnQoRo4ciSFDhkChUIj60BXdcTIqKgq+vr5CeQH/tw/b29sb9EscHBywc+dO/P7778L2FhYWiI+Px7hx4+Dl5SXsb/fv3xclr1KpFIMGDUJsbCyioqKQk5MjWttraWmJfv36wcvLC46Ojnrv6fpl9aUPPvhAr0/Spk0bjBs3DmPHjhXaXUC//ySTyeDi4lJvcnZ2RmxsrDDrxtbWFmPHjsWUKVPw3HPP6eXv8X6kubl5vXm1s7PD3Llz9dped3d3TJgwASNHjoSTk5Pwulj3wgJAq1athH6OsStsus+zsLDQSwqFAsZmLTo7OyM+Ph4jRoyAp6cnJBIJZsyYIUpeHRwcEBkZiZiYGAwePFjvSq6JiYlBX7rusqCgAHPmzBG2t7KywsiRIzFp0iT06tVL73PEutfRysoKYWFhiI6ORkhICMLDwxvcXiqVCv3p2tpaozMflUolQkNDER8fj7CwMFhZWeHFF19ERkYGgEf9PWdnZ6Gu1l13cXHBkSNH8MEHHwjx+vTpgylTpmD48OHCDL8/Ek+1rUM3XUzXkDd0c+/XX3+NsWPHwtLSUmjcBw4caLQzlZWVhaKiIjg5OcHOzq7BBmTlypV466230LNnT0yaNAmJiYn1PrQnPT0dlZWVcHV1fWLlmTNnDj788EPExcVh6tSp9eYVAG7evImSkhKhQ1Z3aWpqqpf/pUuXYt68eQAeDVKCg4OFwebjDyO4fv06ysvLDWKamZlBqVTqxX377beFHcXU1BRhYWHCTvf4Q0XOnz+P8vJySKVSIZmYmOj9rEvLli3Dhg0bhN9VKBQICAhAZGQkIiIi0KJFC+G9K1euwMTEROiQNVQfAgICcPDgQTg6OmLkyJEYM2YMevbsabSMdfuAUqmsN+lusA8JCRGmtiiVSgwZMgRxcXGIiIgwqBeXLl2Cra0tVCpVg3nVaDRo27YtiouLhUa4d+/eRrfVarU4efIk5HI5FApFg0kmk6F79+64cuUKgEedx4CAAMTGxiIyMlLvBIxueo1MJoNcLodMJqt3XTdtu+4U3r59+wqDwi5dugivV1RU4Pfff4eJiQlkMpmwrLuuW2o0GvTp0wf5+fnC73fv3h1RUVGIjo7GCy+8IHx/5eXluHbtmjCwtLKygoWFhdHv9/79+2jfvj20Wi2cnZ2RmJiIUaNGGa0PBQUFuHbtmkHejC3z8/PRt29fvcGGp6cnoqKiEBUVpVcOBQUFuH//vvCgnIYeGnXw4EEEBATAxMQEISEheOmllxAeHm70BEl+fj6ys7Ph5OQEe3v7BtuyTZs2ITExET179sSUKVMMTmo8Xma6DrEun/Utz58/bzCNrEWLFoiIiMDQoUPh5+cn1P979+4hNzdXaLvqtmOmpqZ6nQ1dmw7834mS+Ph4REdH63UAgUcPxMjNzYVcLm8wyWQybNy4US+/zs7OiIqKQkxMDHx9ffVO7uge9FV3v1IqlQbruhMhdTtVPXr0wLBhwxAbG4uuXbvq5ffGjRvQaDRCW2Zubl5vfRgzZgw2btwIS0tLDBs2DGPHjoWPj4/R7zo1NRUKhQIuLi5PPKHm7++Pq1evYuLEiZg8eTLatGlT77Znz56FRqPRK8f61idOnKh3+0SnTp2EE1x9+vTRy/fvv/8OhUIhDC4tLS2N5puI0LdvX5w7dw5SqRSBgYEYOXIkoqKijD7s7ujRo8JxR5ce/1n3WlxcnN4A0dnZGZGRkYiKioK/v79efs6ePSv0R6ytrevd3yoqKoSpjd7e3hg3bhzi4uKM9gvUajXOnTsntOkNLQGgS5cuSE9PB9Bwm15WVobz588bPe4+nqqrq+Hn56c3FdDV1RVDhw5FZGSkXjmUl5fj5s2bwmCtobp79epVeHh4QKlUIjY2FuPHj4efn5/RcistLcX9+/fh6ur6xH7Zb7/9Bj8/P3h6emLq1KmIi4urdzpifn4+0tPThfw2dCzevXs3wsPDYW1tjcTERIwfP77ek3Lp6em4e/eu0b7N469dvnwZCQkJer/fvXt3oZ716NFD+Iz09HRkZ2fD3Nxcb5CpVCoN8vHtt99i1KhRAB4NvmNjYzFixAj4+voaPBTo9u3byMnJEfZVXZ0ytr5161ah7QUe1YXo6GjExMRg0KBBeu30/fv3UVVVBZVKBVtb2wa/tzfeeAOrVq3CgAEDMGnSJMTFxdX7ULqrV6+iuLhYrw9irF8ik8mwevVqvZMsKpUKkZGRiI6ORkBAgN4+fOXKFVRVVekdd+o7Br3yyiv49NNPAehfvAkPDzdod27cuAGlUglnZ+cnPojIx8cH58+fR2JiIqZMmWIw6G4uPNVWZDNnzqR//etfTX6IweM+/PBDOnfunKgxiYg2btyoN5VJDJWVldSqVSsKCwujDRs2NPnmap2ioiJycnKi6Oho2rRpk2hlXFBQQFZWVmRnZ0ejRo2irVu3UklJSZPjpqamUmxsLO3cuZOqq6tFyOkjFy5cIFNTU4qKiqJvv/22SQ9WqislJYU+//xz0evuTz/9REqlkoYOHUobNmxo0gOm6vr222/JxMSE/Pz86JNPPhHlgTpEjx5wIZFIyNvbmz788EO6ffu2KHEXLlxIo0ePpn379lFNTY0oMYmIZs2aRTKZjIKCgmjt2rWUkZEhStz58+fTBx98QFlZWaLE09mwYUOztGURERHCVKn58+dTcnJykx/OotVq6YUXXiBfX19as2YNPXz4UJS8ajQa6tixI7Vp04beeOMNOnr0aJMfikVEVFFRQc7OztSnTx96//33n+mBJg3Jy8uj8PBw2rhxI5WVlYkSk+hRfrds2SLqgyuIiG7fvk0mJibUs2dPWrRoEV25ckWUB00dO3aM+vbtS6tXrxatLujiAo8exDdr1iw6efLkMz/wx5i9e/fSvHnzRKsHOuvXrxeOQRs3bmzUQ/KM0T2c0d3dnebOnUunT58WpRzWr19Pa9asEe3Yo/Pzzz83y3TE5cuX08aNGxv9sKr6DBs2jExMTMjf359Wr15Nd+/ebXJMrVZLXl5eNHz4cNq5c+czPRCuIbW1teTh4UFt2rShN998k44fPy5KXaitraV//OMfdOXKFRFy+X8qKirIycmJWrduTa+99hodPnxYlDY9JyeH7OzsKDIyUtT+XnFxMSUlJYnS131W4IcLMbEVFxdDq9WK9q8HdAoKCiCTyUR9fDvw6Ipgfn4+vLy8RJvK1Zzu3r0LR0dH0f6dTHO7dOkS2rVrJ3p+jx07hq5duxpMuWqqX3/9Fd27dze4mtVUGo1G9EeUExF2794NLy8v2Nraihr7r6S4uBibN29GeHg43NzcRItbWVmJ4uJiuLi4iBYTePS/+h48eFDv7IfGysnJQUVFhd7UQTEQUbNPgRbT1atXYW5ujnbt2okaV61Wi/bvTuo6fPgwnJ2dDa5I/7c6e/YsnnvuOdGn4/3www/o2bMnOnToIGpc9qgt27FjB4KDg0Xtm2k0GqjValH/jRXw6F9k3blzR/Q2srncv38f+fn5zdKmm5qait7v/TPVd8WTB56MMcYYY4wxxkRR38BTvLuVGWOMMcYYY4wxI3jgyRhjjDHGGGOsWfHAkzHGGGOMMcZYs+KBJ2OMMcYYY4yxZsUDT8YYY4wxxhhjzYoHnowxxhhjjDHGmhUPPBljjDHGGGOMNSseeDLGGGOMMcYYa1Y88GSMMcYYY4wx1qx44MkYY4wxxhhjrFnxwJMxxhhjjDHGWLPigSdjjDHGGGOMsWbFA89GyMrKQlpaGohI1Li5ubkoLy8XNSYAFBcXQ6vVih5XrVaLHhMASkpKRC9bALh37x6qq6tFj3v37l1oNBrR4zbHd9ZciAi3bt0S/XvTarW4efOm6HErKyvx9ddf48qVK6itrRU1dnOorq5uljp2//59fP755/j999+bZd/4q3j48CFKSkpEj3vz5k3cv3+/Wdqz5nDr1i2UlZWJHreiokL0mADw008/4fTp06iqqhItJhFhzZo12LJlC1JTU0Vrh4kI+/btQ0ZGhijxHo8tNq1Wi7y8PNHjNpe/yj7W3G7duoV9+/ahoKBA1Ljp6enNUndPnz6Nbdu2id6nTktLa5Y2vTn66MCjY0VztL3/jUwWLFjwh33YunXrFkyePPkP+7zmotVq8cILL2D16tU4deoUMjIyIJVKoVKpYGJi0ui4hYWF6NixI7Zv347r16+jvLwc9vb2sLS0bFJ+b926hW7duuHYsWPIzMyEXC6Hs7MzpNKmnXc4fvw4AgMDcfnyZZSUlMDe3h7W1tZNigkABw4cgL+/P5KTk5GXlwdLS0s4ODhAIpE0Ke5vv/2GPn364Ndff0VqairUajUcHR1hZmbWpLg7duyAj48PDh48iDt37qCmpgYqlQpKpbJJcd9//30sXrwYmZmZUCgUonxnuvzeunULrVq1glwub3I8AJBIJFiwYAHGjh2LEydO4MGDB5BKpXBycoJMJmtS3DfffBOTJ08WNa5cLkdSZTHFegAAIABJREFUUhLGjx+PlStXYu/evbhy5QoKCwthZmYGOzu7RtU3jUaDuLg4HDt2DNXV1XBxcYGpqWmj86lTW1uL/v37Y8eOHUhPTxf24aa0NwBgY2ODt956C3PnzsXy5cvx448/4vz583j48CGkUikcHBwa9RlFRUWYPn06iouL4ezs3OQ2TOfhw4d44403UFVVBVdX1ybvuzoFBQXo0KEDtm7diitXrqCkpAQ2NjawsbFpUtyioiJ07doVa9euxcmTJ/HgwQMAgEqlalL9PXz4MGbOnInCwkLY29vDzs6uSfnUOX/+PDw8PLBz505cvXpVtHLYuHEjEhMTceXKFZSWlsLBwQFWVlZNzm9qaioCAgKwfPly7Ny5E+fPn0dubi7kcjkcHBwa1V5KJBJkZ2cjNjYWn3zyCVatWoV9+/bh0qVLyM3NhUwmg729/TPHlkgk2L59O0JDQ/HFF1/g+PHjSEtLQ21tLRwdHaFQKJ45rzozZszAli1bhLIV4zgskUgwevRoLFiwAJcvX0ZxcTFsbGxga2vbpLhEhLfffhspKSmws7ODvb19k4/twKO2NyIiAocPH0Z5eTlUKpUo7U5VVRVGjx6NW7duwczMDC4uLqLkt7q6Gh9//DGsra2hUqlEiQkA5ubmiIiIwOzZs/Htt9/i9OnTSE9PBxHB0dGx0cd8tVottGVnzpzBw4cPIZPJoFKpmtQvsbCwQHBwMJYsWYI1a9bg0KFDuHHjBkpLS2Ftbd3odiItLQ2dOnXC9u3bceXKFaH+NrUtO3ToEAYPHozz58+jsLAQ1tbWje4v1HX27Fl069YNO3fu1MuvtbV1k2Jv2rQJa9asQU1NDVxdXUXpjzythQsXZi1YsGCdwRtE1GAC8CWAHABX6rxmD+BXAKn/Wdo9KQ4RoXfv3vS/Yv369QRAL5mampK3tzfNmjWLdu7cSTk5Oc8cd9GiRQZxO3fuTOPHj6cvv/ySbt68SVqt9pnjTps2TS+mhYUFBQUF0eLFi+nIkSNUWVn5zDGJiKKjo/XidujQgcaPH09ff/01paWlNSqmVquloKAgvbgqlYpiY2Pp448/pgsXLlBtbW2j4gYEBBiUr4eHB02ZMoU2btxId+7ceebyra2tpRdffFEvplQqpR49etArr7xCmzZtogcPHjxzfouLi0mlUgkxra2tKTw8nFauXEnnz59vVBkQEV24cIEAkJmZGYWHh9Nnn33WqPw9Lj8/nxwcHIzuE3PmzKHdu3dTQUHBM8fNzMwkS0tLvbhKpZK8vb1p9uzZtGvXrmeKW1tbSzk5OXTs2DFSKpUG9QEA2dvbU1BQEM2bN4927NhBGRkZTx3/3//+t1496Nu3L82ZM4f279/f6P3s8bh19+GlS5fS8ePHSa1WP3UsrVZLRUVFlJKSQklJSUbLQFfOffv2pZdffpnWr19PV69eferPeO2114Q43bt3p7fffpv2799PVVVVjfnzBWPGjBHKtl+/fvTuu+/S8ePHqaampklx58+fb/D3t27dmkaMGEGffvopXbhwgTQazTPHnTVrlkFchUJBnp6e9MYbb9D333//zPufVqulfv36CfHat29PU6ZMoa1bt1J+fv4z57Gu2NhYg/y2atWKhg8fTh9//DElJyc/c1lrNBrq3r37/2PvvOOaOt/+/0kCgbD3cNRRRVvrqKPfOiq4EAU3oIijgquPfjvV2tqqrW1t6+qwaq2j1drWUevWKjIEFxurIIoyZBNWCIEAyfX7wyfnSSCBAIc+3z6/+/16Xa9zn5OTD1fuc+9x0NHs1asXhYaG0uHDh9tUV8jlcnr8+DENHTpUb9q1tLSk0aNH06pVq+jo0aOUmZnZbNmuVquprKyM7t27R1euXCEPDw+D+cLCwoJGjBhBK1eupIMHD1J1dXWL/qrVaiouLqauXbs20ROJRDRo0CBavnw5HTx4kNLS0lpVvqelpZFIJNJpM7z22mt04sQJkkqlRus05tGjRyQWi5ukhblz59KePXvo3r17bWqPHD9+nNPr3r07LVu2jE6ePEkVFRVt9pWI6Pfff29St7/++ut06tQpKi8vb7Pu119/zWk6OjpSYGAg7du3j7Kzs9vlr6Zd1qNHD/r3v/9Nf/75Z7vKR00a3rlzp950a2JiQoMHD6bly5fTgQMH6O7du60q07TjQTsvjBkzhtatW9eqOl5TB6Wnp9Obb75pMK916tSJpk6dSh9//DFdvHixVel55cqVTfS6dOlCs2fPpm+++YYSExPbVG9MmjRJR7Nz584UFBREe/bsobS0tDblCSKiqVOnNvG3c+fOFBgYSF999RXFxsZSXV1dqzTlcjm5ublxdebw4cNp/fr1FBMT02qt1gIgnvT0BQXUwtS2QCAYDUAO4BARvfDf174EUEZEnwsEgrV42vF8t1khAEOHDqX4+PiWbvtf49GjR0hNTUVZWRnKy8tbPBqzRG/48OF45513YGZmhsrKSlRUVKCiooILNz6Wlpa2uLzF1dUVnp6eCA4OhkgkQlVVFWQymY41vlZYWIisrCyDmmZmZvjXv/6F0aNH4+WXX4ZAIIBcLtexqqqqJufZ2dm4f/++Qd2ePXvC09MTXl5ecHNzQ11dHeefxkd9x5ycHOTm5hrUtbOzwyuvvILRo0fjueeeQ11dHRe32lZeXq5zLpVKUVNT02z8durUCTNmzICPj4/RuiUlJS0uPe7WrRv8/f0xZswYAE+XbCgUimaPt2/fRk5Ojl49BwcHeHl5YcyYMRg7dizKysq0B4yaDa9atQrJyck6eoMGDYKfnx/8/PwwbNgwCIVCKJVKREdH640DfVZUVNTiktAXXngBwcHBGDBgAORyucE41T4vKSlpcclbv379sGjRIvTq1QulpaUoKipCcXExiouLdcLGaGkwMTHBjBkzMGfOHNjY2KC2thY1NTWcNT7X2KFDh1BfX99Ez8zMDCNHjsS4ceMwfvx4dO3alZsF0s5j+o5VVVWIiYkx6KuFhQVGjBgBT09P9O/fH2q1GoWFhSgqKkJhYSFnmvPWLE/s1q0bli5dCh8fH1RWVqK+vh51dXU6x8bX8vPzsW3bNr1+enl5YeLEiZg4cSI8PDyQnZ2NzMzMJjqNra6uDo8ePcLOnTub6NrZ2WH8+PGcbteuXXH//n08fPiwxfyrKXtbWpplY2ODsWPH4tVXX4VarUZZWRnKyspQWlpqMNxSeaPB19cXK1asgImJCWpra6FUKnWOja8lJCTg6tWrTXQEAgGGDh2K8ePHY8KECRgxYgRSUlKQl5eH8vJyo6ylPGxpaYmAgAAEBARArVZz6bNxetU+z8jIaLZM79GjBzw9PeHp6Qk7OztUV1dzeVaftWb5bv/+/REaGoquXbuisrISBQUFKCgoQH5+PhcuKCho1fYRBwcHhISEYNGiRcjNzUVJSQmkUmmzZuxyeTc3N6xcuRJDhw5FQ0MDV64oFAqdckb7/OzZs3rbDgKBAIMGDcK4ceMwbtw4DBo0iJvBlMlkeo/a4cePHze7DN/R0RGjRo2Cj48PPDw8oFKpDOZj7fJh48aNTZ6hSCTC8OHDuTw8ZMgQlJeXIzk5GQqFQsc0v7+xHTt2TG/bTCgUYvDgwRg3bhzGjh2L3r17IzMzE0qlsolp8pjGqqqq8NVXX+n9/R4eHpgwYQImTJiAMWPGQKFQNNl2ol33ah9zc3Mxf/58HT0rKyt4e3vDz88PkydPhqurK4Cn7dM7d+5wdVhJSUmTcGvSmJmZGfz9/TFjxgyYmpoa1eY1tt3r5eWFlStXQqVSoaioiKtzNGGNtSa/eXh4YNmyZRgyZIhOGa59bHytrKysxfLXysoKkydPxoIFCwCgSdtUn+Xk5DTbnnZ1dcXo0aPh6emJbt26oa6urkkZqx2n2r63FL8SiQRz585FYGAgBAKBTjqtq6vTm57//PNPxMXFNdGytrbGmDFj4O3tjQkTJqB37968zbwDgEAgSCCioU0+0NcbbWwAukN3xjMdgPt/h90BpBuj858+47l+/XqDoy6tMZFIRFOnTqWTJ0+SUqnUGflvrw0cOJC2bdtGBQUFtHDhQt50XV1d6c0336T4+HiaNm0ab7rm5uYUGBhIp06doldeeYU33U6dOtGqVasoOTmZ+vfvz4umqakpzZw5k06fPk1KpVLvyHRbzMzMjGbPnk0XLlyg+vp6srW15S0eTE1Nyc/Pj37++WedEe/2mrOzM7366qt08OBB3jTt7Oxo+fLldOPGDXrw4AFvuq6urvT2229TSkoK3bp1ixfNXr160RdffEGFhYVERBQeHs6bv8DTkWcfHx9avXo1r7ojR46kXbt20ZYtW9qtJRQKaerUqXThwgVuVHz79u28+guAhgwZQiEhIbzrjho1igICAniN271791JFRQXNmTOHF017e3tasWIFxcfHk1qtJj8/P17jwNzcnObPn08vvvgiL3oSiYTmzZtHYWFhpFKpqG/fvrz56uLiQq+//jrdvn2bnJyc2q1naWlJoaGhdOvWLVKr1aRSqcjExKTdusOHD6dDhw5xqxeqq6t5+f0ikYimTJlCp0+fprq6OioqKuI1LQgEAvL09NS7qqqtJhaLadasWXTq1Cm6fv06r/4CT2d71qxZw6umlZUVBQcH03vvvce7v/3792929q4tz+xf//oXbdq0iVasWMGbj9988w03M/nOO+/womtiYkIzZszg0u+rr77KS/oKCgqiiIgIbhZx5syZvPgrEonIz8+Pjh8/TrW1tXpXw7XVHB0d6bXXXqOYmBjeyl4rKysKDQ2l6OhoUqvVza7IaGtcv/766+1aGdAYGJjxbOsmE1ciKgAAIioQCAQuhm4UCARLASwFgGeeeaaNf+7vQXufjImJCbf/QLOHRvtoZmaG999/X+f7L7zwAhYtWoTg4GBulAqAzp4IgUAAGxsb2NnZcfsltMMA8O233+rourm5ITg4GPPnz8fAgQO56433cUgkEtjY2HDr4jVhGxsbKJVKHD9+XOd+CwsLzJw5E/PmzcO4ceO4PUeN19SLRCJYW1vDysqKM815dXU1wsPDm9w/fvx4BAcHY/r06Zzevn379Pqr8dXa2poLS6VSXL58Wed+a2tr+Pv7Y968efD09OT2nmnHr6mpKezs7GBvb8/FrbZlZGTg5MmTOrovvfQSFixYgDlz5sDR0VHnuWn2ZInFYoOadnZ2+Ouvv3DhwgUd3ZEjR2LhwoUICAjQ8dHCwgKVlZVNnoWlpWWTY25uLh49eqRzr1AoxJgxYzBnzhzMnDkTDg4OAIBXX30VfCAUCtGnTx88//zzGDpUd7BKIpHo/f2auLlw4YLOTKpIJMKkSZOwcOFC+Pn5cfsLGo/MW1paNnlu2uETJ04gLS2Nu18sFmPatGlYuHAhJk6cyKXdzMxM7h4rKyu4uLjA1dUVLi4uOmHN8e2330ZSUhKAp2ln5syZWLp0Kby8vHT2rRjaS2hiYgKJRMKZubk5JBIJ0tPTm4y0CoVCjB07FoGBgZg5cyYcHR3x559/YsuWLTr3aeevxsezZ882mSXo168fgoODERQUhO7duwMA/vjjD+5zJycnuLm5wdXVFW5ubpxpzh0dHTF27FguTXbu3BmLFy/G4sWL0aVLF52/Zcw+NIFAALFYDFNTU4MvS3B3d8eMGTMwa9YsjB49Gl988UWLusDTZ2RiYmJwFNvNzU1Hd8OGDdxnQqHQYP61t7dHQ0MDvv76ax297t27Y8GCBViwYAGeffZZ7romzwFP866DgwMcHR25+kI7XFFRgc8++0wnfry9vRESEoKpU6fq7LkxtP9GIBDAzMwM5ubmMDc3h5mZGVQqld4ZRIlEgsmTJyMgIAC+vr6wsrLCpEmTuM/NzMxgb2/P5S9NWGOZmZn4+eefdTRHjx6NhQsXwt/fX6feaVxXmJmZceW4dtq1trZGXl4ebt68qXO/lZUVZsyYgeDgYJ06yNXVFVKpFCYmJlzeNWTnz5/H7t27Oc0hQ4ZgyZIlCAoK0vFVIBDA1dUVeXl5sLa2hru7u17r1KkT3N3dsWfPHnzzzTcAnpZPwcHBeO211zBo0CCd32BhYQGJRIKamhqIRCI4OTk1a0eOHMGlS5e47/fq1QuhoaFYuHAh3N3ddZ6jPkxMTLi/qTELCwtkZ2frnfEcMWIEZs+eDX9/f3Tq1Al5eXlYv34997mpqSm3l0z7qAmfP3++yezOqFGjMH/+fAQEBHDtppSUFL3+6vPf1NQUSqVS78oTCwsLTJo0CbNmzYKvry9SUlLw5ZdfNrlP87s1pjnXzI5qY25uDj8/P8yZMweTJ0+GRCLBqVOnDPqoyW/alpeXp9ff559/npv9f/7553HgwAGj4sEYbGxs0L17d/Ts2VMnPdja2sLZ2RkuLi5wdnbWCbu4uEAikSAgIICbPbO0tERQUBCWLFmCYcOG6cxqabd7TU1Nm7R1tY9CoVCnTAWerpR69dVXMXfuXDg7O3PXNW1gzftPXF1dDVpVVRUCAgK47/bu3RtLly7FwoULdTQb+6tpp2u3F7SPFRUV2LNnj873BwwYgIULFzZpp7dUlmlbeXk5wsLCdO6XSCSYNm0agoOD4e3tzdWV2v6am5tz5awmTrXt4cOHOHLkCHe/QCDgVtjMmDEDlpaWOv4ZQiQScelWLBZzM66NMTc3x6RJk+Dv7w8/Pz9e9oYbhb7eaGND0xnPikaflxuj858+41lWVkbZ2dkkk8laXKP9ww8/EPB0L9jKlSu5EWt9lJSUUFZWFlVUVLS4b0Mzo2Bubk5BQUF08eJFg2vQCwsLKSsri0pLS1tcq/3RRx8R8HQWY+LEiXT48GGqqqrSe29eXh5lZmZSSUkJ1dTUNBsXq1at4kZMXn75Zfr222+5WaLGPHnyhLKzs6msrKzFdfWLFi3iRtGmTp1Kx44dI4VCoffenJwcysvLo+rq6hafm6+vLwFPR1LXrl1LqampBu/Nysqi/Px8UigULeqOHDmSgKf7VdavX08PHz40eO/Dhw8pKyuLiouLqbq62mCaaLyPa/jw4fTNN99QQUGB3vvv3LlDd+7cob/++ovu3r1Ld+/epXv37lFqaiqlpqZSWloa3b9/n+7fv99kX5SVlRX5+/vTTz/9RCUlJTq66enpVFRU1OLeE4VCQQ4ODgSABg0aRDt27DCYFlQqFT148ICKi4tbTLtlZWVkYWHBxcHu3bsN7iOpr6+nzMxMo/ZcPX78mAQCAXl4eNDWrVub3ZOtUCgoLS2NsrKyqKioiGQymcE0/OTJE25mRTPLsGvXLioqKmpyr1wupwcPHlBBQQFVVVU1Wz4kJSVxz6tr1660Zs0aSklJ0Zs25XI55ebmGrWH4+TJkyQQCGjSpEl06tSpZvNmaWkppaamUkZGBmVnZ1N+fj5JpVKqrKykmpoanf1C0dHROmmsW7du9NZbb1FMTEyT31lcXEypqalc3sjPz6eSkhKqqKig6upqqqur437n2bNndXS7d+9Ob7/9Nl2/fl2vbnZ2NlVWVraYhzdv3kwAyNramkJCQigqKsrg8ygqKqK8vDyj9uxqZhR69epFn376abP7OXNycujBgweUk5NDxcXFVFlZSUqlUq/v77//PhcHEomE/P396ejRo3rL9dzcXMrLyzNYhmrj7++vU5ZlZGQYvDczM5Mr01tKa5rZXBMTE5oyZQr99ttvBvNpTk4OlZWVtfjM1Go19e/fn6ytrWn58uWUkJDQ7P05OTkG6z1tGhoaqEuXLtSvXz/auXMnVVZWNnv/48ePqby8vMX6vba2lpydnUkikdD8+fMpKirK4G9UqVSUmppKmZmZLZY5SqWS3N3dufQwbNgw2rp1q949iPX19ZSenk6FhYUt1u9SqZQkEgkBoN69e9PHH39Mjx8/1ntvTU0N3bt3jx48eECZmZmUm5tLxcXFVF5eTnK5XCcdV1RUkI2NDeevjY0NBQcH08mTJ5ukierqarp//z7l5OSQVCpttj5+9OgRCYVCAp6uBpoyZQodOXKEZDJZk3srKyspLS2NHj9+THl5eSSVSqmqqkqnrNGQmpqqU+a88MIL9NFHH+nd815aWqpTF2tMu07W1MuNyzLg6X7tN954g65evaqTpyoqKig3N9eoPaB79+4lAPTSSy/R3r179f5+DVKplMsXLeW3HTt2EABycnKiN954g5KSkprVLSwsNGoP6dq1a8nU1JRmz55N4eHhzfpRUFBAT548Mcrft956i4CnK7jefPPNZv198uSJ0e3pZcuWce1pb29v+umnnwzG8ZMnTyg/P9+oukKz2vDZZ5+lTZs2UVZWlsF7MzIy6MGDB5SdnU2FhYVUVlZG1dXVeuN79uzZRtcVfAIDM55sqW0b+eCDD7gper5Qq9UUEhJC+/fvb/cme22USiX5+fnRjh07DHZa2kJVVRWNGDGCPvnkE3r06BFvusXFxTRu3DjatWtXk05Qe8jPz6cFCxbQlStX2vSSEEM8fPiQQkJCKDIyss0v/NFHTEwMDRo0iL744gvKzMzkTffmzZtc52XFihV06dIlXtLx+fPn6Z133qGUlBQevPwfjh8/TuvWraP09HReda9du0aRkZFtfhGAIdasWUMjR46kb775plUvJWqJt956i5YuXdpsh6gtXLp0idf0pWHy5Mnk4eFB7733XrMDc61BrVbT8OHDqW/fvrRu3TpKSEjgRVelUtGSJUvo559/NmrQwlgaGhronXfeoWvXrvGazmQyGXXq1IlrQMjlcl50y8rKaPHixRQREcFrGnv48CGNHj2adu/e3a6X3TSmoKCADhw4wNvv11BYWMj7MyMiSkxMpN27d/NavxMRHTx4kAYNGkSbN2/mtS4+cOAArVy5km7fvs1rXHz22Wfk5OREixcvpgsXLrTqxWjN8dZbb5G3tzcdOHCgTS+yM8SiRYtowIABtGnTJkpLS+NVVyAQ0IgRI2jz5s1tfllTY/bv3897PaxWq2n16tX0xx9/8Pa8NBw+fLhNL+NsDqVSSaGhodzSX74oLS0lT09P+uqrr3htT0ulUlq6dCm3lJYvHj58SDY2NjR79mw6ceIE72VlcxjqeLb4ciEAEAgE3QGco/95udAWAKX0Py8XciCiNS3p/Ke/XOj/KkTE64ZhDSqVCkKhkHftjvL3n0ZNTQ1v/y5Cm/DwcDg6OmLAgAEsnjuAsrIynaWYfKFSqdr971P+LhoaGpCeno7nn3+e1zRWU1ODrKwsPPfcc7xp/hOprKyEiYmJztKr/2TUajUv/wqKoZ+Kiop2/5sTfXRUXfzXX3/hueeea9e/FNJHVVUVL/+mpzFZWVncNga+qK+vx7FjxzBhwgS4uBjcrcb4D+OfVpYVFBTAzs6uQ9qSLWHo5ULGvNX2VwBeAJwAFAHYAOAUgGMAngGQAyCAiFr8b7Ws48lgMBgMBoPBYDAY/3cx1PFscbiJiIIMfDSu3V4xGAwGg8FgMBgMBuP/PP+c+WIGg8FgMBgMBoPBYPwjYR1PBoPBYDAYDAaDwWB0KKzjyWAwGAwGg8FgMBiMDoV1PBkMBoPBYDAYDAaD0aGwjieDwWAwGAwGg8FgMDoU1vFkMBgMBoPBYDAYDEaHwjqeDAaDwWAwGAwGg8HoUFjHk8FgMBgMBoPBYDAYHQrreDIYDAaDwWAwGAwGo0NhHU8Gg8FgMBgMBoPBYHQorOPJYDAYDAaDwWAwGIwOhXU820BycjK2bt2KiIgIVFZW8qablpaGyMhIyOVy3jQ7kgsXLmDXrl24ffs2ampqeNMNCwvDhQsXUFJSwpsmAFy/fh337t2DWq3mVZeIeNXTcO7cOSQnJ6OhoaFD9PmEiBAeHo6ysjJedRsaGrB3717cunULtbW1vOmqVCrk5ubypsfQJS0trUPKyI4iLS0Nt27dglKp5FU3NTUVqampvJc59+7dQ1ZWFu9lT0VFRYeUZ8ePH8fvv/+O7OxsXvU7Km398MMPOHXqFHJzc3n19/79+1CpVLzpaeiIOoKIUFxczLtuR9HQ0NAh8VBeXo7ExETetWtra/8RdbuGBw8eIDo6GgqFglfdysrKDskTMTExOHXqFPLy8njX7giKiop4ryeAjmuftgfRxo0b/7Y/tnfv3o1Lly792/5eR+Hs7Iw333wTn3/+OT7//HMcOXIEN27cQGZmJurq6uDg4ABzc/NW64rFYnh5eeHDDz/EH3/8geTkZEilUpiZmcHR0RECgaBN/j569AhbtmyBubk5OnXqBKGQn/EGe3t7zJo1C99++y0+//xznDx5EnFxccjLywMRwdHRESYmJq3WbWhogKenJz7//HMcOnQIN2/eRE5ODlQqFZycnGBqatomf3NycjBs2DB8/fXXiIiIQEZGBpRKJRwdHSGRSNqkCQB79+7Fhg0bUFxcDCsrK7i4uLT5WWmTnJyM8ePHY9u2bbh8+TLS0tJQVVUFGxsb2NjYtFn3u+++w7lz52BmZgZ3d3de0oNAIMCPP/4IX19fHD16FElJSZBKpZBIJO1Ku0KhEOfOncP8+fPxxRdf4PTp00hOTkZxcTFMTU3h6OjYJv+FQiHmz5+PdevWISkpCaWlpbC2toaDg0O7np1arcaCBQsQHx8PkUiETp06QSQStVlPW/fDDz9EVVUVunTpArFY3G5N4GnjZ8WKFSgtLYWbmxusrKx40XV0dMS7776LTz75BJ9//jl++eUX3LhxA9nZ2VwZaWZm1mrdvLw8+Pv748mTJzA3N4ebmxsv6VcoFGL48OH4+OOPceHCBaSmpkImk8HW1rZdea2mpgYDBgzAtm3bEBUVhczMTNTX18PZ2blNv19DSUkJnn/+eXz//fe4efMm8vLyIBQK4eLi0q70dvXqVXh6eiIhIQFSqRRWVlbtyr8alEolvL29sWPHDuzatQuRkZF4+PAh5HI5bG1t25zu9u3bh7lz5yKSthbfAAAgAElEQVQlJQUymQwODg6wtbVtl68AkJ+fj+nTp2PHjh34/vvvERUVhYcPH0KhUMDW1haWlpZt0v3mm28wY8YMREVFcZ1wV1fXNtdpGv7rv/4Lu3btQkFBAczNzeHi4tLufCEQCBASEoL169fjr7/+QlVVFRwcHNqVH4CnDeGNGzfi8ePHcHNzg7W1dbv0tHXHjBmDEydOID8/H+bm5nB1dW13PJiZmWH69OlYtWoVwsPDkZGRgbq6Ojg7O7epnadBqVTixRdfxKVLl5Cfnw8zMzNe/K2oqMAbb7wBhUKBzp07t6tto41YLIanpyc+/PBDnDlzBnfu3EF5eTksLS1hb2/f5jLiyZMneP755xEdHY2CggKIxWJe4kEsFmP8+PHYvHkzfvjhB8TExCAzMxNKpbLNbXQAiIiIwJo1a1BZWQlHR0fY2dm1y09t3REjRuDGjRvIz8+HWCzmJR8fPHgQH3zwAe/tU2P46KOPCjZu3Li3yQdE9LfZkCFD6J+KWq2myspKSk9Pp6ioKHrvvfcIgEHr1asXzZ49m7788ktKSUlpUV+lUlFZWRlt2rRJr56trS15e3vT+vXr6cKFC1RaWtoq/728vAgA2dvb05w5c+jQoUNUXFzcpngoKyuj1NRUunr1Ks2ePdtgHJiYmNDAgQMpJCSEdu3aRTk5OS3GgVQqpbS0NJo1a5ZeTZFIRAMHDqQlS5bQvn376M6dO9TQ0GCU3xUVFTR58mS9un379qVFixbR999/b7SmhpqaGnrmmWc4LVdXV5o7dy7t37+fsrOzjdbRRqFQUHZ2NvXv31+vv126dKFZs2bRli1b6Nq1a1RdXW20dlZWFpmamnLpITAwkA4cOEB5eXlt8lVDWVkZubq6NvHV3t6eJk+eTJs2baKrV69SVVWVUXo1NTWUk5NDMTExZGNjozceLC0tafTo0bRq1So6duwYZWZmklqtNkr/wYMHXDxozM3NjQIDA2nnzp2UkpJCKpWq1fHw+++/6/jn6+tLX3/9NaWlpRntmz62bt1KAEgsFtOECRPoq6++oocPH7ZZT8PHH3/M+Tto0CB677336Nq1a1RXV9dqLblcThkZGRQTE6Ojq888PDwoKCiItm3bRsnJyUb/jX//+9+choODAwUEBNDevXspMzOz1f5qqK6upo8++shgXvP396dt27bRjRs3qLa21mjd+vp6Wr16dRNNoVBIAwcOpOXLl9OhQ4coIyOjVWlDrVbTsmXLmuiam5vTqFGj6N1336XTp0+3uoxXq9U0fvx4HU1XV1cKDAykXbt2UWpqaqv8rK6upszMTLp16xZ5enoaTAtdu3almTNn0meffUZXrlwhmUxmlH5dXR316dNHR6tnz54UEhJCP/30U6vKX7VaTeXl5XT//n2KiooiDw8Po/y9fPkyKRQKo/6GXC6nzp0762iZmprSiBEjaM2aNXT27FkqKysz2mcNmZmZJBaLdcrcmTNn0s6dO1v9zLR5/Pixjq4mfhctWkQ//vhjq8pbbY4dO9akzImOjqb6+vo2+anh8uXLOr7a2dnR1KlTaceOHZScnNym8pyIKCYmpkkaEAgE1L9/f1q+fDkdPnyYHj161Oq42Ldvn46mjY0N+fn50bZt2yghIaFV7RBtVqxYwZUzI0eOpE8++YQSEhLa/PvVajXJZDL68ssv9eYHZ2dnmjJlCn366acUHh5udB2v4c0332wSD76+vrRlyxaKjY1tVbrQtCNTU1MpNDTUYB7u06cPzZ8/n7755hu6desW1dTUGB0Xw4YN43R69+5NK1asoNOnT1NlZWWrfndj3XHjxun4aG1tTT4+PrR582a6fv06KZXKVuvW1tZSjx49mrRPDxw40Ob2qbEAiCc9fUEB/Y3TsEOHDqX4+Pi/7e+1lpSUFMTGxqKwsFCvtXaJgZeXF5YvX47u3bsjNTUVpaWlkEqlkEqlTcKlpaVGT7OLRCJMmTIF8+bNg6mpKdRqtV5TqVRcODY2Fnv27NHREQgEeOmll+Dr64vJkyfjxRdfhFAoRGRkJNLS0gzGQ11dndFxIBKJMG3aNCxfvhxEhMzMTBQXF6OkpIQ7asJSqbRVSy569+6NxYsXo1u3bpDJZFw86rOysjKjtc3NzfHqq69i7NixUKvVqKmpQW1tLWfa55pwbGws0tPTDfo5fvx4jB8/Hl5eXrh69Sr37A1Za9Ja165dsXTpUnh4eMDExAQNDQ2or6/nlh41Pq+vr8dPP/2k198BAwbAx8cHPj4+GDlyJFQqFc6ePYuysjKUl5ejrKxMx7SvGbvc2srKCmvXrkXXrl1RVlbGPX+Nac6rqqqMjgMTExNMmTIFc+bMgVqthlwuh0wma9Hy8/ObTRf29vYYNWoUJk2aBFdXV9TX16Ourg5KpRJ1dXU6Ye3jnj179OaTrl27wtvbG97e3hg3bhzq6+sRFxfH5VMi0snD2ufV1dVYuXJlE389PDzg6+sLX19fvPLKKxCLxXjy5Am3PEylUumkhcbn5eXl2LRpUxNfbW1tMX78eEyaNAk+Pj7o3Lkz7t27h1u3bhksG1q7TeDll1/GsmXLMGDAAG40urFp4lRj+fn5OHHihF693r17Y8KECfD29saYMWPw4MED3L17t9lyobS0tFXLuCdNmoQFCxagtra2SX5obK1ZCurn54fg4GDU1NSgvLycy1vaR024oqLC6PIsICAAAQEBUCqVkMvlnFVVVemca67l5uaioKDAoJ6Liws8PT3h6ekJGxsbyGQyFBUVobi4GEVFRTrh1qYHb29vLFu2DCKRCDKZrIl/+uzx48eQSqUGNXv06AEvLy+MHj0aRMT529iKi4tbtdTazMwM/v7+CAkJgVQqhUwmQ2VlZYtWXl7e4rN74YUXMHv2bHh4eKC+vh4KhQIKhQI1NTV6wwqFAtevX0d5eblePXd3d4wdOxZjx47F0KFDkZ6ejqqqKh2TyWRNrlVVVXEruQzRtWtXLj04OTmBiKBSqTjTtEW0raGhAWvXrkV1dbWOlp2dHby9vTF58mT4+PjA1dUVhYWF3BLP6upqzgydx8TEGIxfR0dHeHl5YcyYMejTpw+KiopQUVHB5S1DZmw67tOnD9auXQuJRML5JZfLDR5lMhkSEhIM6tnZ2WH06NHw8vJC3759UVdXp1OGGzrm5uZi69atTfRcXV3h4+ODSZMmwdvbG/b29khOTkZycjJXJmq3SbXN2HafQCCAt7c3Fi1aBJVKpbe8aVz2FBcXIzMz06CmtbU1Ro0aBS8vL3Tt2hVVVVU67QbtcGvbkT169MDixYvRv39/vfW6vjo+MTERkZGRTbRMTEwwfPhwro4fMmQIIiMjkZ+frzd/Nb5WUFDQ7HYliUSC4cOHc+lBrVbrbZc2vhYXF4e0tDS9mh4eHjrtU3t7e6PjriUEAkECEQ1t8oG+3mhH2X/6jOcHH3zQ7Ai9MWZvb09vvfUWpaWlcbqvv/56u3Xx3yM0X375JRUUFBAR0ZIlS3jR1ZibmxuFhoZys6Ptsa5du9KmTZt0ZtFGjRrVbl0zMzMKDg6myMhIbnTR0Kxga23YsGG0e/duKi8vJyLSGSXiw/r27UsfffQRWVlZtVvL1NSUAgIC6NKlS9yoqFAo5NVfa2trev/993nTGzFiBO3du5cqKirowYMHvGg+++yztHnzZi5PJCQk8OavpaUlzZ8/n/78808KCwvjNW6Bp6si1qxZw/szmzlzJr399tu8+ztkyBBavHhxu3WsrKxo+fLllJSUxJUN69ev59VXoVBIEydOJH9/f170nnnmGVq/fj09fvyYiIiCgoJ40XV1daVVq1bR3bt3iYho0qRJvOg6OTnRG2+8wcXxiBEjeItbNzc3evPNNyk2NpZ69+7Ni97777/PxS0RUadOnXjz95lnnqG1a9dSSkpKkxUObbE+ffrQtm3bSCqVEtHTGQW+fLW2tqaQkBCKiIigwsJC3nSBp+VZUFAQfffdd7xpikQi8vHxoZ9//pmioqJ49RcADR06lN59911eNT08PGjDhg20ZcsWXvQEAgF5e3vTkSNHqLq6mnbv3s2brwKBgDw9Pen777+nDRs28BoPQqGQxowZQ8HBwbzodevWjTZu3MitPFm6dClvvtrY2NCiRYsoLCyMpk+f3m49U1NTCgwMpCtXrnCzwBMnTuQ1fk1NTWnevHk0cOBA3jSfe+45+vTTTykzM7PZFRltsd69e9P69eu59i8fwMCMZ+s34P0fxt3dHcDTkX53d3e4ubnpmPY1oVCIQYMGcSMrw4cPx/LlyxEQENBkTb2joyOApzNpTk5OcHJygqOjY5Owo6MjlEolQkJCuO9aWlpi9uzZCA0NxfDhw3XWZvO1V1MsFmPs2LGYNm0apk6dig0bNiAyMhJOTk5N4qBxPNy/fx+zZs0C8HSky9fXF8uXL4ePj0+TvUbOzs4Ano7iOTs7w8XFReeoHU5KSsKaNWu4777wwgtYsmQJ5s2bBwcHB73xq9mP5OjoCAcHBy6sbbdv38bOnTu57zo5OWH+/PlYtGgR+vfvr6PbeA+AqakpzM3NIZFIYG5urhMuKSnB48ePm8Rtnz59EBgYiMDAQPTr1w8CgQAHDx6EXC6Hvb09lwb0mbOzM44dO4aff/6Z0+vXrx9CQ0Mxb948Lj41mJiYGByVFAgEMDU1hYmJCUxMTLjZo8YIhUKMHj0aM2bMwPTp09G5c2d89tlnAAAbGxs4ODhwZm9vr3Pu4OCAAwcO4Pr165xep06dsGDBArz66qvo06dPk79nYmLCPXft9KBtzs7OWLNmDaKjowE8Ta8zZ87EkiVL4OXlpZMPtPcfmZmZcfthDdmRI0d0XjIkFArh7e2NefPmYfr06dxerps3b+qNV7FYDLFYDDMzM51wdna23vj18PBAQEAA/P39MXDgQJw/fx5ffvmlXu3W8vzzz2PatGmYNm0aHjx40OL9IpEIIpEIJiYmBmfYLS0tMXnyZMyYMQOTJ0/GqVOnsG/fPtjY2OgtG7RNIpFg0KBBXDy8+OKLWL58OYKCgprs69K331EkEsHMzKyJiUQivaO3IpEI48aNg7+/P6ZPnw5nZ2d88MEHnH7jsqBxGaFQKLBy5Uodn2bOnImQkBCMHTtWJ51pRoXFYjGnZShPlJSUYMOGDdx3NbPzixYtgo+Pj87+Pm1djZ5GUxPWnGdnZ2P79u06ur6+vnj11VcxefJknX3A2vEtkUhgZWUFKysrWFtbNwnn5eUhLCxMJ25tbGwwa9YszJ07F2PGjOHKdldXV2RkZMDR0RGurq5wdXWFi4sLF9Y+v3TpEtavXw/gf2ZFli1bBj8/vyZ7HLX3fFpYWHA+apvG37S0NMTGxup839HREYGBgZg7dy5GjBjBPTtXV1cUFBTA2dlZx8fG5ubmht27d3OrhMRiMfz9/bF06VKMHj1apx7WpEulUgkzMzPY2to2axcvXtTxVyQSwdvbGwsWLMDUqVNhYWEBAE1m2UQiESwtLSGRSGBhYaFjEokEd+7cQX5+vs53zMzM4Ovrizlz5sDX1xcWFhbIz8/HihUruDRjbW1t0GxsbHDmzBlkZ2fr6L700kuYN28eAgMD4erqCgBISkoCX/zrX//C9OnTMX36dJSUlOCLL77gPpNIJLC0tNQxCwsLLnzp0qUmq2W6du2KOXPmICgoCIMGDYJAIMDFixcBPE2Ltra2OvmrsdnZ2WH16tU6z6RPnz5YuHAh5s+fjy5dunDXtff/CoVCWFpawsrKivNPE7aysoKFhQV++eWXJqvdhgwZgqCgIMyePZvT1s7rzWFiYgKRSGRw9t7Kyoor0ydNmoRdu3YB0C0jNe3RxqZWq3Xap2ZmZpg1axZCQkIwZswYnTJSOw+bmZnpLXM050qlEseOHdPxUywWw8/PD3PnzoWvry/XHjt+/DiAp+305toOzs7OyM7ORmhoKKfZp08fLFmyBAsWLGjSftJXBwmFwiZ1u1gsRl1dnd6XE5qZmcHHxwf+/v7w8/ODnZ0dxo4dqxMnNjY2evOZtbU1srKyuHSpwd3dHXPnzkVwcDCXdgHD7dPGbVNzc3NIpVK97dNevXpx7dMBAwb8bXs/2YynFgqFwui9Glu3biVra2t67bXXWtyfJJfLjd6Dp9lnNGLECNq/f3+za+VLS0spNzeX8vPzqbCwkIqLi0kqlVJZWRlVVFSQTCaj6upqqqmpoV27dumMbtjZ2VFwcDAdO3asyX4amUxm9P6u4OBgcnNzow8++ICysrKavbeystLoNepTpkwhS0tLCg0NpVu3bjW7d6K8vNzofVdeXl4kFArJ19eXfv/992b9KSoqIqlUStXV1S3utfD29tYZOVq3bh2lpKTo9busrMyoPQsqlYq6d+9OVlZWtGTJkhbjITc3lwoLC0kqlVJFRQXJ5XJSKpVN9nWo1WoaPHgw569YLCZfX1/av3+/3j1hJSUlRvkrk8nI2tqazMzMaPbs2XTx4kWD8aZWq6m0tNSoPSf5+fkkEonoueeeo+3bt1NJSYnBe+vr66mkpMSo9JCTk0MikYiAp7N5X331FTdz2hilUkn5+fkklUqpqqqKlEqlwWeRk5OjM7Pywgsv0IYNG+ivv/5q8h2FQkFPnjyhvLy8Jvm4tLSUysvLqbKykmQyGaWlpZGJiYnOiPXo0aNp27ZtTfZ6yuVyysvLa5IeampqqL6+XseP5ORknbLBycmJQkJC6OzZs032vdTU1Bhdlu3Zs4ckEgmFhITQ7du3m027MpmMCgsLqby8vMX89uuvv3K+mpiYkI+PD+3fv5+bgdKmqqqK5HK5UXuvNCtehg4dSt99912ze+0qKyupurraKF3NntSBAwfSV1991ey+y4qKCqN1FyxYQACof//+tH37dioqKjJ4b2lpKVVUVBiVjwMDA7lyYebMmXTixAmD9aKxmkREL730Erm5udG6det0Zjf1UVxcTJWVlS2Wu2q1ml566SUCns7oBQcH0/nz5w3WX+Xl5UaVOfX19eTu7k4eHh60devWZsscjb/G7BGrra0lFxcXAkAvvvgibd++3WCZo1arKT8/nyoqKlqsj6urq8nJyYmbafHz86PDhw/r3XPW0NBARUVFVFNT02I6Ky4uJjMzM65e27hxIz148EDvvUqlkp48eUL5+flc3akpvzRlT11dHalUKiovL9fZt29qako+Pj60e/fuJu8aqK2tpaKiIpLL5S0+u9TUVE7TxcWFVqxYQTExMXq/V1tba3R60OwdtbW1pWXLltHNmzcNxl11dTWVlJSQQqFoMX7Pnz/P+evh4UEbN26k9PR0vffKZDKdMr28vJyqqqpIoVA0qeevXr2qU6Y7OzvT4sWL6fz5803SqVwuN7qM/Oyzz7j60pgysqyszKg2n+Z9AAKBgMaOHUv79+83OPMmk8mMbu+FhoaSubk5zZ8/n65du9bsb5RKpVRUVETl5eWkUCiaLXveeustLm4lEgn5+/vTb7/9pndvemlpKclkMqPS2bRp0wh4uvJBM8NryA9NHpPL5S2Wk76+vpy/PXv2pLVr11JiYmK73jlhDDAw48k6nm2kLRuojeHrr7+m1NRUXjXr6+upZ8+e1K1bN3r99dfp6tWrbXpxSGPUajVduHCBFy1tamtr6cCBA0a/YMJYpFIpbd68ud0v0WlMUlIS9erVi95//31KSkriLTM/evSIDhw4wHs6u3jxIllZWdHs2bPpt99+a9eGeG0iIyNbrIzaQlxcHEVHR/NeSO7evZvWrVvHe3576623aNCgQfTJJ5/oLLlvLytWrCBLS0uaNWsW/fTTT3o7Wm0hMDCQunXrRm+++SZFRUW1+wUfGq5evcrrsh2i/+lo+Pr60o8//shbWlOr1fTFF18Y9SK41lBfX08ffPABJSYm8qqrUCho9erVvDcecnNzaeLEic02/NqCTCajkydP8l5XxMXFkZ+fH/3yyy8kl8t5033y5AlFRETwXuZcuXKFVq9eTXfu3OFVd+/evTRhwgTat29fq1882JLu66+/3uLAUWvZtGkTWVtb05w5c+i3336jiooKXnRXr15NISEhdPnyZd7KMSKib7/9ln799VejJyaMZeHChfTOO+9QQkICr/E7ZswY6tmzJ73zzjsUHR3d5pcUNUbzkiY+qa2tJT8/P9q+fTuvbTOVSkUHDx7kvT0ilUrJzc2N5syZQydOnOCt3MnJyaHp06fT0aNHeU1nd+/epZ49e9K7775L8fHxHd7Z1MZQx5O9XOj/A4qLi5Gfn4+BAwf+fVPp/x8hl8thaWn5j4nbjIwMdOnSpV2vgmcYpqCggFu2zxdExL1unc/nplarcffuXfTv3/8fkX7r6upQU1PDy7/MYDSFiP4R6UDDP83fjqKuro63f7H0dxAXF4cBAwa0618K6UOlUvHy76v+LtRqNW9bpjQolUqkp6f/Y8r0f1oerqio4Jaw/hOoqqqClZXV/0ocG3q5EOt4MhgMBoPBYDAYDAaDFwx1PPkdamEwGAwGg8FgMBgMBqMRrOPJYDAYDAaDwWAwGIwOhXU8GQwGg8FgMBgMBoPRobCOJ4PBYDAYDAaDwWAwOhTW8WQwGAwGg8FgMBgMRofCOp4MBoPBYDAYDAaDwehQWMeTwWAwGAwGg8FgMBgdCut4MhgMBoPBYDAYDAajQ2EdTwaDwWAwGAwGg8FgdCis48lgMBgMBoPBYDAYjA6FdTwZDAaDwWAwGAwGg9GhsI4ng8FgMBgMBoPBYDA6lP/THU8iQlpaGrKysnjRU6vVSE9Px6+//opVq1YhMTGRF11tGhoaUFtby5ueVCrFxYsXsWnTJuTl5fGm29DQgJSUFPzwww+oqKjgTRcAamtrER0dDaVSyauuQqHAtWvXoFKpeNUFgCdPnoCIeNOrr69HQkICfvnlF151Nenh4MGDvGlqI5PJOkSX7zTWkRQVFSE9Pb1DtBsaGnjTIiJkZ2fj6NGjiIuL4023vr4eSUlJ+P7775GUlMSbLgBUV1cjMjIS2dnZvOoCT/Mwn+msoaEBSUlJ2LNnD4qLi3nT1YbPsqGjycnJ6RB/y8vLedOqrKxEZGQktm/fjvXr1/Pqb15eHv744w/s37+fN00NDQ0NvLVztCEiXuO3sXZHwGcZWVtbi1u3buHbb79FeHg4b7oaampqIJVKedflEyLCkydPcOrUKXz44YdIS0vj/W/U1taipqaGV83S0lKcP3++Q9oOKpUKarWaFy0iQmZmJo4fP44NGzbwHg//iZi058sCgeAtAIsBEIC/ACwiIv56Ta2krq4OCQkJiImJQUxMDK5fvw4AePjwYau1VCoV0tPTkZiYiISEBCQkJCApKQlyuRwA4OXlhS1btrTbZyLCvXv3cPXqVYSHh+PBgwdtbgRWVlYiMTERcXFxnGkaaAEBAejcuXOb/czPz8ft27dx+/Zt3Lp1C/Hx8aiurkZQUBCWLFnSZl3gaQFx48YN7rnFx8dj2rRpOHbsWLt0i4uLcf36dU43MTERixYtwujRo9ulS0TIyspCZGQkoqKiEBkZCR8fH+zZs6fNmgUFBbh58yZu3brFxW9NTQ2+++47CASCNmnW1tYiKSkJsbGxuH37NmJjY/Ho0SMAwMmTJ9vsqzbFxcWIjIxEeHg4IiIisHLlSvz73/9ut25ubi4iIiI43U8++QTz5s3jweOnz+/OnTs4d+4cPD09MWrUqHZpPX78GNHR0YiOjkZMTAwyMjJ4G5SSy+W4du0awsLCcPXqVRw4cABDhgxpk1ZVVRXi4uK4PHz79m0UFRXB3d0d9+/fb5MmEeHRo0eIjY3lLCkpCbW1tejbty9SUlLapKshJycHN27c4Cw5ORnPPvss/vrrr3bpEhEyMjJw7do1zsRiMe7evdtmvZycHK6MjI2NRUJCAmpqajB9+nQsX768Xf5qqKysREREBC5fvoyCggKcOHECIpGo3bpKpRIxMTG4dOkSKioqsHfv3jaXO4D+MtLT0xM//fRTu30tLy9HVFQUVz688sor2LVrV6t1ysrKkJiYyNXxiYmJyMjI4D6/ePFim+OgoqIC8fHxiI2NRVxcHGJjY5Gfn8/ptpf6+nrEx8cjKioKUVFRuH79Onbu3Inu3bu3WzsrKwsRERFc/O7YsQMBAQHt1tW0dS5fvozLly/jjTfewKRJk9qtq1AoEBMTg7CwMFy5cgXffvttm8r0+vp63Lt3T6f9dPfuXTQ0NKBz5868dLgUCgVu3ryJyMhIREZG4t69e+0uy7SpqalBREQE/vzzT2zcuBH29vat+j4RIT8/H/Hx8UhISOCOmoGzCRMm4OOPP263n3V1dYiLi+Pq9+Li4nbVmWq1Gvfv39epK9LT0+Hj44PJkye3219NPR8WFoawsDDI5XJcuHChTTqa+I2Li0N8fDzi4+NRWloKANi0aRMkEkm7/f1Pp80dT4FA0BnA6wCeJ6IagUBwDMAcAD/y5FuLVFRU4ObNm1zHIjY2tsls4Y4dO2BnZ2eUXnx8PA4dOoSEhAQkJydDoVAYvLd///44ceIE3N3d4ebmBnd3d1haWrb4NzQJODw8HFevXuUynYa9e/fCysrKKH8TExMRHR3NJeLmZllGjhyJa9euwdXVFa6urrC1tTVYqSoUCiQmJnKN09u3b+PJkydN7hMIBAgICMDjx4/h5OQEa2vrFitqzeiOdocwNTVV5x5TU1N8+umnRsSArm5GRganGRMTgwcPHujcY2lpiQ0bNrRKV9tnTWURFRWFnJwc7nNra2t89NFHRusplUoufjWmraehU6dO8PT0RElJCezt7WFiYji7qtVqPHjwgGv03r59GykpKXpHf3v37g03NzdkZGTA2dkZNjY2RjewGjf6tBvqvXr1wrJly4zSaUxRURHX2ImIiNAZLBo8eDDmzp3bJl0NNTU1CA8Px7lz53Du3Dnk5uaiWwTDb4cAACAASURBVLduWL16dat0VCoV/vrrL52OZkFBgc49S5YswcCBA9vkZ319PeLi4rgK7ubNm9wzDAwMNLrTqVKpcO/ePZ3BotTUVL2zDEFBQcjLy4NSqYSDg0OzHZni4mKdTmZcXBzKysr03jt9+nSkpKTA2dkZLi4usLCwaPG3Jycn6zQecnNzm9y3evVq1NfXw9TU1Oh0q1arkZqaqtPRbPzczp49C1NTU6P0ZDIZ14nXWFFRkd57/f39cf/+fTg7O8Pe3h5CofELjRoaGhAfH8811m/dusWt2Dhz5kybO51EhIcPH+LPP//EpUuXEBkZydV3YWFhre5waQYgNJ3MqKgonTpDIpG0ukzXIJPJEB0dzZUNSUlJXDq2srJCWFiYUTpKpRJ79+5FZGQkEhMTm50h7NKlC/Ly8nDhwgWufndxcdEb33V1ddwAnyZPGKqLn3vuOUgkEqSmpsLFxQUODg5GpQelUonY2Fiuo3njxg2d9sngwYPbPDCXl5enM8inHS8vv/wy/P3926QLPC0vwsLCuPSryXNDhw6Fj49PmzRVKhUSEhK4MvL69euoq6sDAPj5+Rnd6dQMbmo6mcnJyQZXm02YMAFxcXFwcXGBq6srHB0djXpu1dXVOh3N2NhY1NfXc59v2LChXRMCmt9x/vx5nDt3DlevXkVNTQ1CQ0ON7nTGxcXh3LlzXEfTUDkGAMOGDcPFixfh5uYGNzc3ODs7G1VmNjQ0IDExkUtnMTExOun36NGjEIvFRvkLPB1EjY2N5eqJW7du6Z3ZXLVqFRQKBSwsLFpdphUXF3Pt9LCwMJ18ERERYZQeEeHKlSvcZEJcXBwKCwv13mtmZoaePXsiOjoarq6ucHNzM6pN/U9E0NblDv/d8bwFYCAAGYBTAL4hosuGvjN06FCKj49v09/T5t69e3jjjTcQHh5u1HINU1NT2Nraws7ODnZ2djph7fPBgwdDIBBg9+7dOH78eKuXelpbW8Pd3Z0zTYX13HPPobKykkvE+joZGoYNGwZra2tYWFjAwsICEomECze+1q9fP9y+fRt79+5t9YyFWCzmClFt03RELl68iDNnzrRq2YqpqSmcnJx0zNnZGU5OTnB0dAQRYceOHUYvk5NIJHqfl/Y1GxsbKJVKbN26lRtRbgkLCwujdAHgxo0bTRpRjRGLxejcuTOsrKxgbW0NKysrzhqfSyQSVFZW4sCBA61ejmlnZ8fFpaOjo07YxsYGtra2OHz4sNENMW3/Nc+qsdna2qJHjx5cZzMxMdFgnnN2dkbPnj1hYWEBS0tLLr1qwtrXzMzM4ODgwFVEjQcftHFxccEzzzwDS0tLHS19YVdXV66hlJeXx1XIYWFhTZawTJs2DVOnTuUKdu1j42tCoRCXLl3CmTNnjFpObGFhAVtbW9ja2nLPRp/16tULPXr04BpRkZGRqKqq0qs5ePBgdOvWDebm5npNIpFwYQsLCyQkJODQoUPcaKoxCAQC2Nvbc/m2cT7u1q0bHj58iH379uHx48dG6wJPB340nVDNURO2tbXF3r17W7XaQywWw97eHg4ODrC3t9cJa44WFhY4d+4coqOjDXaQNVhbW8PGxgY2NjY64cbnmvCVK1dw7NixVi2NEgqFcHR05PKXdr5zcnKCj48PxGIx11C/evWq3gaViYkJgoKCYGZmBrFY3OJx4sSJsLKyQnh4ONfZ1NfxsrS0RGhoKExNTfWaiYkJFxaJRKivr8e1a9cQFRXV7FYOExMTvWWkJqx9zcLCAk5OToiPj0dERATi4+MNbo+wtLSEh4eH3vJA37mvry9OnjyJ3bt3t3qmSSgUwsXFRaeO13RI3d3dcfjwYZw/f75VWzmEQiH3/LXzg4uLC2xsbFBVVYWwsDDcunWr2S04EomEG/zVmCZeG5tEIoGNjQ3X0WxuRZirqyu6dOliMD61r7u7u8PX1xfXr1/n0q+hpfbDhg3DgAEDIBaLddKpvvPOnTujV69eXBkZHh5ucPnkoEGD0KNHj2bLRo117twZMpkMe/fuRUREhNHPTPu5adpNmraUi4sLHB0duYHquLg4nY5mY9zc3GBvb6/TRjDUdhg4cCBGjBgBlUqF2NhYrm7Tt6pk7dq16N69O1eXaZtQKNQ579evH7KysrBnzx5cuXKlVfEgEAjg6OjIdUS1TTN4ExERgWvXrjVbbw4YMMBgvm0cBoBt27Y1mVhoDrFYDAcHB536oXF49OjRyMvL49KZodU6pqam8Pb2bjZtaV978cUXcf78efzwww/Ntv31YW5u3qSNrjF/f3+4u7u3Su/vRiAQJBDR0CYfEFGbDcAbAOQASgAcaen+IUOGEF/U1dXR6dOnadasWSQWiwlPl/u2y95++21Ov6SkhLZs2ULPPvus3nuFQqHRuv/+979p8+bNNHDgQF781NjOnTuJiEitVlNUVBQFBweTmZlZu3V//PFHIiIqLCykLVu2UN++fXnx98yZM1RSUkI7d+6kl156ibd4iImJoYKCAtq+fTsNGjSIN90bN27Qvn37aOzYsSQQCHjTzc/PJ7VaTdevX6fQ0FCysrLiRbeqqoqIiB49ekTr1q2jTp06tVtTJBJReHg4LVu2jBwdHXmLAxcXFwoPD6elS5eSg4MDb7rPPvssffjhh/Tiiy/ypgmARo4cSUqlkvcy55VXXqH33nvPYDnTVgsKCiIiotraWjp27BhNnDiRlzS8dOlSIiJSqVQUFhZGs2fP5iUuVq9eTWq1muLj42nFihVkb2/PSzxs3ryZUlNTad26ddStWzfe4vf7778nIqKKigras2cPDR06lBfdt99+m4YNG8ZrWgBA7733Hi/lQWO7du0aHTlyhCZPnkwikYg33QsXLtCHH35IvXr14tXfkpISrs68fv06zZs3T2/6NTU1bZWuQqEgIqLc3Fz65JNPqHv37u32VSKRUElJCe3evZtGjRrFWxx07tyZIiMjeS/T+/btS0uXLiUbGxten9nLL79M77//Pu9pYerUqVx7Lz09nVavXk1OTk7t1g0KCqKbN2/SypUrydnZmTd/58yZQwsWLODFR237+OOPuXh4+PAhrVmzhpe/sWHDBvruu+/olVde4dXfgwcPklqtpmvXrlFISAhv7ad169ZRUFAQWVpa8upvVFQUERE1NDTQ+fPnadq0aa3qPxiy+Ph43vpTHQWAeNLTF2zPjKc9gN8BzAZQAeA4gBNE9HOj+5YCWAoAzzzzzJCOeClEWVkZjh07hp9++gm3bt3S+Wzz5s2QSCSoqKjgrLKyUudcc23jxo348MMPdb6vVqtx9epV7N69G2fOnIFKpYJQKER2djZMTExQUFCAgoICFBYWcuHG5zt27OD2+Ny/fx9Hjx7Fb7/9pneWMigoCEqlEgqFAjU1NVAoFJxpnzc0NODAgQNYtGiRzvdLS0tx6NAhnVlQe3t7JCcno7y8HMXFxSgqKuJM3/nZs2d1lsEQEW7cuIH9+/fj6NGj3BIJNzc3nD59GqWlpZBKpZyVlJQ0OS8tLUVMTAxGjBjB6aalpeHw4cM4fPiwzpK6Ll26YP369Qafk/a5XC7H3bt30a9fP+77d+7cwaFDh3DkyBGdZQ0eHh5YtWpVE019utXV1cjNzeWWweTn5+O3337DL7/8goSEBJ047927N6ZMmQK5XN7EqqqqdMINDQ2QyWSwtrbmvi+Xy3H8+HEcOHAAMTEx3PVJkybhnXfe4eK3tLTUYFipVKKmpkZnWUZDQwMuXryIffv26YzEz58/H2+88QZKSkpaNAsLC24mub6+HmFhYfjtt9/wxx9/NJmZGzx4MPr16weFQoHq6mourWqHNdajRw9uv2ldXR3CwsLw66+/4tSpU9w+ag0jRoxA7969OR3tY+NrgwcPxunTp3Hu3DmcOXMG4eHhvLykatSoUYiOjubOy8vLcfz4cRw6dIjbS65h2bJl6NmzJyorK1FZWfn/2Dvv+KiK9f9/0hskpCcQuIAUERGlCTYEERuooCCKgiiCKJZrAUVRQNCLyFXQK4QEAqGnkIQkLOm9Z1MhhCQEAum97W62Pr8/8t1zs9kNbLIn1/Kb9+s1r1P27GefnTPzzDwzc3bR3t7O7fdOS5cuhZ+fH4gIeXl58PPzg5+fn87ZxIceegg2NjaQSCTo6urSmSQSCZRKJd566y2tHzGpqKjA0aNHceTIEY2R1zNnzsDZ2bnPuttz/9NPP8X333+vodvY2AhfX194eXlp+LSEhARYWlqivr4eDQ0NqK+v19jvud25cyc+++wz7r1SqRShoaHw8fHBxYsXuR9yMDIygq+vLxQKBVpaWtDc3Ky1Ve+3tLTgwIEDWLduHYBuX56amooTJ07Az89P40dTTE1N8e2330IsFqO9vR0dHR1ob2/nUs9jkUiE06dPY8WKFRr5kJeXh8OHD+PEiRPcjIy9vT2ioqLQ0tLC5aW6bvXeb2xsREREBBYsWIAbN27g3LlzCAgIQFpamlZZsLS0xNSpUyGVSiGTySCTybj9nufUK1aSkpIwZ84cJCcn49y5czh37pzOZcyWlpYYNWoU5HI55HI5FAoFt9/znJr8/Hzcd999AICGhgb4+/vj1KlTWnVizJgxePnll7X8Ym//2NnZCZlMhpqaGri5uYGIkJOTg9OnT+PMmTNas6pjx47FvHnztHyCrmOVSgWxWKz1DFVjYyN8fHzg6enJ+aQ1a9bgt99+02rXdSWFQqE1m67uN3h5eSE4OJib9Vq3bh0++OCDPutCz307OzuNWekbN27g9OnTOHnyJC5fvqzxefPnz8eMGTO4fOydep6fMGECt8JE7dNPnz6NoKAgLd/76KOP4q677rpj3orFYjz44INIT0+HVCpFdHQ0AgICEBISovPHicaNGwdbW1ut8tq7LAPdy1wjIyNBRMjPz4efnx/8/f01nsdVM3PmTNja2vbpH9VJqVTilVdewZkzZzTeL5VKERISgkOHDiEmJoY7HxYWhjFjxmj0l9T7vftQ69evx88//wyguw2OiYnByZMndebv2rVrYWlpqVUXeieRSIQtW7Zg1apVCA0NRWhoKJKTk3n5gZvvvvsOX3/9tVY+BAUF4eDBg0hISADQvRS0rKwMMpkMtbW1XKqrq9M4Vp/z8vLCG2+8AaD7h9v8/Pxw+vRprf6Tqakp3nzzTUgkEp3lq+e+XC6Hn5+fxjPHnZ2dCAwMxNGjRxEfH8+dt7e3x5EjR9Da2qrRNvRM6vOtra2Ii4vD3LlzIZFIIBAI4Ofnh9DQUK1H7oYMGYJHH330tm2weh8AMjIyMGvWLA2NqqoqHD58GN7e3txqulmzZiE4OFijLPWVGhoaUFFRAQ8PDwPu/ODD+4wngGUADvc4XgXg99u9h88Zz764evUqff311zRq1CgCQNu2bdPrfSqVimQy2W2vqayspG3bttGIESPohx9+0FtXoVDoPJ+fn09btmyhsWPHcqMY586d00tXJpORXC6/7ecmJibS66+/ThYWFnT27FmD7FXT1tZGhw4dogcffJAAUHR0tF66CoWiT12FQkHR0dG0atUqbrQpPz9fL125XE5KpbLP1y5cuEArVqwgS0tLMjY2puvXr+ulK5PJSKVS6XytuLiYvv32W24E1trampqbm/XSlUqlfeqqtTdv3kxubm5kY2NDbW1tett7O6qqqmjXrl00duxYcnR0JIlEopduX2VMIpFQYGAgLVu2jCwtLQkATZ069bbfTY1Kperz88ViMfn7+9NLL73Ezd7PnTtXL1tVKhV1dXVpnOvo6KBz587RmjVrtEaf33vvPZJIJCSRSEgsFpNYLCaRSESdnZ3U2dlJHR0d1NHRQe3t7dTZ2dnn5167do22b9/OzVq+8soretsrlUp1nhcKhbR582YaM2YMZ+/mzZv10pXL5Vr50BOFQkERERG0fPlyMjMzo48++khve+/kc5KSkmjVqlVkZWVF3377LS+61dXV9OOPP9KkSZMI+O9KjzuhVCr71O3q6qKgoCCN2Wt/f3+9dBUKxW3tFYvFdPLkSZo3bx4BoODgYL3t1eUjb926Rfv27aPHHnuMm7U2MjKikpISvWyVSCRaukqlkjIyMmjz5s0aM0mWlpZUV1d3W011WykSifr06eXl5fT999/T5MmTCQCZm5tTTU3NHe0l6ttHKpVKSkhIoA0bNnAzMnZ2dtTe3n5HTbVvuJ1/UiqVFBERQS+++KLeukR02/aSiKiuro727NlDEyZMIBcXF511Xhd9lTGVSkV5eXn0+eefk4eHR799b1++QSwWU0BAgIbvXbBggV629qUrk8koIiKC3nnnHY1ZtDVr1uilKZPJdLYVKpWKcnJytFaLbNy4US977+Qjibpn/zZv3kwuLi701ltv6aWr1taFSCSis2fP0vPPP8/NqH/33Xd6aSqVSq02vrGxkXx9fenll1/WmvU7f/4856dkMhlJpVLq6uri2jp1+9be3n7HfCgqKqKPP/6Y7O3t6ddff9XL3tv1I0tKSmjHjh2cPwdAAoFAL9079XuvXbtG3377Lbe6JTIyUi/dvvqnIpGI/P39afny5WRtbU1A92rH0tLSO2qq68Tt/INCoaCwsDBavHgxGRsb06VLl/S2V5/6/keDPmY8DQk8HwRwGYA1ACMAxwB8cLv3/C8CTzVKpZLi4uJoy5YtvN8guVxOQqGQNz2VSkVZWVn06aef0ooVK3jTVdPY2EhJSUm86xYWFurtMPSlo6ODjh07Rr6+vrzqtra2kpeXl96dS31QqVSUmZlJH3/8Me/2yuVyOn/+POXk5PCqq1QqKSYmhsrKynjTbG9vpxMnTtCiRYsoMTGRN922tjby9fWlZ555Ru+BiNuhUCgoNTWVvvzyS5o8eTJZWlpSdXU1D5Z2o1KpKDU1lT744ANqbW3lTTMrK4s2bdpE999/v94DEfrS0NBAx44d491HtrS06B1w6YtKpaKMjAzav38/r7rNzc3k5eVFX331Fa+6RN2d1wsXLvCmV1NTQ7///js98cQT9O677/KiqVKpqKCggLZt20b33Xcfffnll7zoqrXz8/Np06ZN5O3tzZuuTCYjgUBAq1evJh8fH9501dy6dYtX30D030diKioqeNNU93PWrl3La1uh9r3PPvssFRUV8aIpl8spNjaW3nvvPRo1ahTdvHmTF131QN0XX3xBU6ZM4ZZT84VUKqULFy7w6iObmpro0KFD9Oqrr95x0Fgfurq66OLFi/Tee++Rh4cHzZw5k3efLhaLKS0tjTc9tW/44osv6J133uFNl6i7XsTGxtLJkyd50+zs7CQ/Pz96+eWXNR7L44ubN2/y0s/5M9FX4Dngpbb/N426Hd1LbRUAcgGsJaI+17Xx9eNCf2dUKpXGj5swGH8liGhQyu5g6JaXl0OpVGL8+PG86g4WRAS5XN6vX/9j/H1pa2uDnZ0d77q1tbVwc3PjXXewGCyfw+hmMPJXqVRCLBZrPHLCB8xHgntsY9y4cbzn72DxV6vDMpns/+sypi99LbU1KPDsLyzwZDAYDAaDwWAwGIy/L30Fnvr/oRiDwWAwGAwGg8FgMBgDgAWeDAaDwWAwGAwGg8EYVFjgyWAwGAwGg8FgMBiMQYUFngwGg8FgMBgMBoPBGFRY4MlgMBgMBoPBYDAYjEGFBZ4MBoPBYDAYDAaDwRhUWODJYDAYDAaDwWAwGIxBhQWeDAaDwWAwGAwGg8EYVFjgyWAwGAwGg8FgMBiMQYUFngwGg8FgMBgMBoPBGFRY4MlgMBgMBoPBYDAYjEGFBZ4MBoPBYDAYDAaDwRhUTP9oAwYLiUSC3NxcZGZm4uGHH8bMmTN51ZfL5ZDJZLCxsTFYS6FQ4MqVK8jOzoZQKMSHH36ICRMmGKzb2dmJvLw8CIVC5OXlYceOHRg5cqTBuj1pbW2FtbU1zM3NedWVyWQwNTWFsbHhYyPNzc3IycmBUCjE9evX8csvv8DS0pIHK7shIpSVlWHcuHEwMjLiTXcwICJUVFSgrKwMCxYs+KPN0QsiQlNTE5ycnHjRUyqVKCoqQmZmJoYNG4aXXnrJYE0iQnl5OYRCIYRCIe6//368+uqrButKJBIUFBQgJycHubm5eOqpp3ixFwAaGxuRlZWFrKwszJ07F3PnzjVYk4hw48YNZGdnIzs7G0uXLsWDDz7Ig7WanyGXy3n1Oe3t7UhPT8fUqVPh6upqsJ5cLkdRURGys7ORm5uLr776Cu7u7jxY+tdFJpPx3k78VWhvb0dubi6ys7Mhl8vxxRdf/NEm6Q3f902lUqG4uBhisRgzZszgTZeIUFxcDIVCgSlTpvCmq0alUvHSH+lJR0cHurq64OzszIseEaG0tBRpaWmYOXMm7rnnHl50ge5yIBQKMXr06D+1L2tpaUFOTg5ycnJQUFCAPXv2wM3N7Y826450dXVBKBRi9uzZMDEx+aPNGVT+FoGn2pFlZmYiMzMTGRkZKCgogEKhwKRJk/Dee+/x8hmXLl1CTEwMYmJicPnyZeTm5vZbR6lUori4GEKhkOuc5eXlQSKRAABefvnlAQWd6oZNHWAJhUJcvXoVRAQAeO+993gJOkUiEVJSUhATE4PY2FhYWFggKSnJYF0iwpUrVxAVFYWoqCgYGxsjJCSk3zpNTU3c91enGzducK8fOnTI4KCTiHD16lXExcUhPj4e8fHxWLFiBfbt22eQbk/9goIChIeHw97eHhs2bBiwllKpREFBAZKTk5GSkoLk5GRUVVXBx8eHF1uB7sGHqKgoCAQCzJ07F6tXrzZY88aNG1wZi42Nxb59+7B8+fJ+6xARqqqqkJGRwfmG7OxsiEQiWFpaoqioaECaPYPM7Oxs5OTkoLW1FQDg7u6OLVu29Fu3o6MDeXl5XKOZk5ODK1euQKlUAgDuvvtu/Prrr/3WBbr9g1Ao5ALN7Oxsrl7cfffd2Lx5c7811XmbnZ3NaWZnZ6O5uRkAMHv2bPzwww8Dsrc31dXViI6ORlRUFPLy8pCcnGxQZ7iyslKjThQUFGDGjBlIS0vrt5ZCoUBxcTH3/dUDfV1dXQCADRs28NZRk8vlSEtLg0AgQFVVFY4ePcpLZ7irqwuJiYkQCATo7OzEoUOHDB5EIyJcvnwZUVFRiIyMhJubG29+RyQSITY2FgKBAM7Ozti+fTsvugqFAqmpqQgPD4eHhwc++OCDAdmWl5fHlYfs7GyuLTYyMkJqaiovtgJAXV0dIiMjIRAI8PTTT2PVqlUGa3Z1dSElJYVrizdt2oRXXnllwHrqgCU5OZmrcy0tLQPqP/VELpcjNzcXycnJSEpKQnJyMtrb2wfk03UhlUqRkpKCyMhIREVFwdfXF5MnTzZIU91/Uvcdrl69iitXrgxYr62tDZmZmUhPT+dSc3MzJk+ebHD+tre3Iy0tjcvfjIwMjBkzBvn5+QbpqlGpVMjJyYFAIEBeXh5OnToFCwuLfmk0NDRotJfqyQU1mzZt4jXorKmpQXh4OK5fv46dO3ca5CM7OjqQlpaGxMREJCYmIiMjA6+//joefvhh3uz9s/KXDDzr6uqQlpam0ZFsb2/Xee1TTz2F1NRUODs7w9nZGY6OjnqPJly/fh3R0dFcB7ihoYF77d///jeGDRuml05KSgr8/f0hFAqRk5MDsVjc57WjR4/G6dOn4ebmBldXV7i5ucHe3l5nAY+KisKRI0eQk5ODkpKS29owZMgQ+Pj4wN3dHW5ubnB3d4ezs/MdOy1SqRQZGRlcAJCeng65XM69npSUNODKV1tby3Umo6OjUV1dzb2Wnp6ul65KpcLx48cREhICoVCImzdv9nmtlZUVWltbcfLkSbi7u3N5MWzYsNt+FhGhpKQE8fHxXINRV1fHvW5nZ4etW7fq+a11I5FIEBcXh7CwMISFheHWrVswMTHB1atX+6UjEomQkZHBdajT0tLQ0dGhcc3EiROxaNEiKBQKmJr23wUQEfLz8yEQCCAQCJCamgqlUgkXF5cBB0a1tbVcGYuNjdVoPGbNmoVly5bppdPR0YGsrCyNQLOmpkbntY899hjKysrQ1tbG+Ye+gpmqqir89ttvyMrKglAo5IJMXUyZMgX+/v5wc3PjkqurK8zMzLSuvXHjBrZv347U1NQ71uHRo0fjwIEDcHd3x/Dhw7kyrGvVRVlZGQQCARdo9hyE6s2cOXMgEAjg6uoKFxcXuLq6wsbGRmedKCwsRGBgINeh7lkPejN16lQEBATA1dWVS3eqa2pEIhESEhK4zu/ly5e51/bu3Qs7O7s7aqhRKpW4fPkyVydSUlJQUVGhdd3nn38OsVjc53fvSXR0NMLCwrgZzdv59OHDh8Pf35/z566urrC1tdXbb1ZVVeHixYsQCASIiori2rqgoCCDgk51Gbl48SLi4uK4wc/4+HiDfXpkZCSio6O5umdiYmJQQKAemFTbm5iYCJlMNiAf2ZuGhgYIBAKEh4cjIiICbW1tMDc3x7Vr1/R6v1gshq+vL9cXKSoqgkql0nnt+PHjceXKFTQ3N3PlwcXFRadv0IVCoUBGRgaXD0KhEEB3GTt8+LB+X7gXRITCwkKuriUmJnJl4YEHHtDb96ppb29HamoqF2hmZGRwgzBqVqxYgbvuuosLxvVB3bYlJSUhKSkJ6enpEIlEGtds2LBhwAPs6hnTyMhIREZGIj4+nqvXr7/++oCCTolEgrS0NMTFxSEuLg6ZmZka/aedO3fqvcJCpVLhypUrSE9PR1paGtLT01FUVKTTr7/yyiu4evUqHB0d4ejoqNcgXW1trUYQn5eXp1WOv/nmG4OCraamJm6gJCIiAvX19QCA3377Te+gMywsDN7e3sjJycGtW7due62xsTG8vb012ktnZ2e9YwAiQm5uLkJDQzl/DwBnz57tdz40NTUhOTkZiYmJSEpKQk5ODjeoDHT3T3fs2NEvzb8qRn11RgaDGTNmkPrGGUJDQwOOAoY29QAAIABJREFUHz8Ob2/vfo8WGRkZwcHBgetoOjs7w8nJCc7OzrjvvvugUqm4Wc2end/eTJ48Gba2trCysuKSpaWlxrE6PfLII+js7ISnpydCQkI0Cps+mJmZaQSi6v1nn30WRkZGOHDgAPz8/CCVSvula2JiwmmqK6WrqysmTZqEW7duITY2FsnJyVwjpCsvJ06cCCsrK1hbW/eZ1K8/88wzqKys5Bq4wsJCnboWFhZ45JFHYGlpCQsLC1hYWNx2/6WXXkJubi4OHjyIiIiIfuWB+vPUeaDeqjvJGRkZiI+P7zN4AQBTU1M4OTlhyJAhsLGx6XOr3n/nnXdgZ2eHqqoqhIeHIywsDNHR0Vr5PH78eLzzzjucgzMyMtJIPc/J5XK0t7fjxx9/1Grkb8fQoUNhZ2eHYcOGaaSe5z755BN0dHRws5oXL17UGCRQM2XKFCxYsAAmJiYwNTWFiYmJzmRqagpzc3MMHz6cCzRv1yl1dHTEiBEjtMpZz2P1voODA4YMGQJvb28kJCTonQ9qbG1tNXyDOo0fPx7z5s2Dl5cXDh8+rDEIpS9OTk4awai7uzumTJmCZ599FkePHsWBAwf07uz2tlndsKq306ZNg7W1NQ4dOgSBQNBn0NkXVlZWXBDac/vggw/CyspqwL7M3NxcIxBVp8ceewwODg6cb0hNTdXooPXk4Ycfhp2dHecDevuEnsdDhw7Fr7/+qhG43gkTExOt+mBvb69xvGDBAlRWVsLT0xNRUVH9ygMAsLS01AhE1duXXnoJ99xzD1JTU7mBnYKCAq33m5mZYf369TA1NeXq2u22S5cuhaOjI+Lj47k6XFZWpqVrY2ODVatWcbq99Xun559/HiUlJdysUF8+fejQoXjooYc07tHt0po1a2BmZoaYmBjOXl2DBe7u7njppZfumA/q/XXr1sHCwgK5ubkIDw9HeHg4srKytOrHuHHj8Nprr8HY2PiOycjICC+++CKOHDkCb29vVFVV9bs8ODg4aJQD9f7nn3+O+vp6jYEHXYNeU6ZMwaOPPqrzHvXOh2HDhuHpp5/mBn2joqL6HEC66667MGHChDveL0tLS1hbWyMrKwsnTpzoM/Dujbquqdubnlv1voODA1JSUnDu3DkoFAq9dC0tLTmNvtLkyZMxb948xMTEcMFmX4HMnDlzMHLkSJibm98x2dnZobKyEnFxcUhPT4dMJuvTTkdHR9jZ2XH9g96pZ9/B0dERGRkZOHv2rFbAfSeGDBnCBaG9k4uLC44dO4asrCy99WxsbDTuka78ffLJJzFjxgxuVlMgECAjI0Nn2Xj33XdhZWWl0W/oa3/hwoVob2/HwYMHcfbs2X71d4DuYNTV1ZXr86rT8uXLce+990IikSAmJoYLNnv3daysrPD999/rHPTrHYwSEYgI3t7euHTpkl722djYwNbW9o7pjTfe+FMveQYAIyMjIRFpr6dXZ8z/Ik2fPp34RKVSUUpKCr355ptkZWVFAAxKb7/9Nv300080a9Ysg7V6pp07d3I2V1VV0XfffUcjR47Uus7Y2JhMTU311t23bx+n29jYSHv37qXx48drXWdmZkZDhgzRW/fnn3+mn3/+mWbPns1rPnz77be0bNkysra25lU3LS2Ny4eysjLatGkTOTk5aV1nZWVF5ubmeuumpqaSj48PLVy4kIyNjXmzd9u2bfTAAw/wmgcASCaTUU1NDe3du5fuu+8+XjTNzMzo888/JzMzM15tdXd3p5iYGHrnnXfIwcGBN91JkyZxZeHq1au0efNmcnV1NVh35syZnK5UKqWzZ8/SvHnzdF5rY2Ojt+6TTz7J6SqVSoqIiKAXXnhBZ3lzd3fX2z+8/PLLnG5FRQV98803NGLECIPzYd26dZxudXU17dq1i0aPHq3z2v7UmVWrVtH69evJ2dmZ13K2Z88eUigUFBkZSStXruSlnQBAnp6eXD6UlpbSpk2bdNpuYmLSr3z45JNPaNSoUbzmAQD68ssvyc3NjXfdnTt30lNPPdWvdkuftHXrVrK1teXd3q1btw5KPqhUKiIiksvlFBISQs899xwZGRlpXdeffLKysqJPPvmE97z18PCgHTt20JQpU3jVnTp1KhER5eXl0SeffMKL3wVAjzzyCCmVSoqPj6e33nqLhg4dyovu/PnzadWqVbyXs9WrV1NCQgK9++675OjoyJvuhx9+SERE7e3tdPjwYXr44Yd50d26dStJJBLy9/enxYsX81beNmzYQPfccw+veQuAfH19Od/b1NTUZ7/XwsKiX/f2s88+o0WLFvHWRqhTcnIyFRcX09atW2nMmDG86ebl5Q0gavrfAiCbdMSCf8kZT120tbXhzJkz8PLy4pafAEBiYiLs7e3R0NBw29TY2IhPP/0Un3/+OYDuZbZ+fn7w8/NDTk6O1ue9/vrrICJIJJI7pl27duHjjz/WeL9SqcTFixdx8OBBXLhwASqVChYWFqiqqgIRoa6uDrW1taitre1z/7ffftNaBqNSqRAbG4uDBw8iODgYSqUSQ4cORW1tLVQqFWpra1FTU4OamhqN/Z7Hp06d4n54Rp0PZ86cQV5ensZn2djYYM2aNZBIJBCLxX0m9esXLlzA3LlzIRKJIBAIEBAQgLCwMK3RO1tbWzzxxBPo6uqCVCqFVCq97X5aWhoeeOABDQ2pVIrAwEAcPHiQewZ15syZyMjIQEtLC/dde2977peUlHAP/dfV1cHf3x+nTp3Seg5swoQJWL58OTo7OyESiXRue+5XVlaisLAQ58+fx/nz5/uc5TIxMeGWn/SuuL3PAd3P5vRcOpufnw9fX1+cPHlSY0T7mWeewapVq9DW1obW1tbbJnNzc1RUVKC6uhohISEIDg5GbGyszpFnR0dH2NvbQ6FQQKlUaqTe59zd3bkVBXK5HNHR0Th79iyCgoK0ls0/8sgjmDx5slZ50nU8adIkrfsjl8sRHh4Ob29vCAQCbsR17969eO655+7oGxoaGjBr1iycO3dO6zsXFxfj0KFDOHr0KFpaWgB0L8NZvHgxV1fVZUpXevLJJ+Ht7a2le+vWLRw6dAje3t6ora0FAAgEAixcuBCNjY2oqalBdXV1n9vly5fjp59+0tBUKBQQCAQ4dOgQ53MAIDU1FSNHjkR9fT3q6up0btX769evx7fffquhq1KpEBkZCU9PT4SGhnKzoMXFxbC3t0ddXR2X1D6s9/EXX3yBjz76CAqFAklJSfD390dgYCC3FKsnixYtgkql0ukPeh/v2bMH77//Pvfejo4OBAQE4NixYxoz4mZmZjhx4gS6urrQ2tqKlpaWPutES0sLvLy8tHyvVCpFcHAwPD09ERcXB6B7JuvWrVvo6OjQ+L69/bl6GxAQgDlz5iA+Ph7BwcEIDg7WudrCzMwMd911F1ev7rSNjo7mdIOCgvrUtbKywtixY7n39k69zwuFQkyZMgXNzc0ICQlBQEAAoqKitGarnZ2dMXv2bI371Nc9k0qlKC8vh52dHSIiIhAUFISwsDC0tbVp2aue7e9pV+/v33O/sbERVVVVCAkJQUhICDIyMrQ01flga2sLlUp1x0T/92NXvbl58ya8vb3h7e3N5fWHH36I77//Xqv896wX6n1ra2sUFhaiqakJYWFhCAoKQkREhM4ZHldXVzg6Ouq8R73v3z/+8Q8UFxcDAK5evYqAgAAEBARote9A93J5Dw+P294rdZo6dSpSUlK49yoUCu7ZyODgYA27N27ciOnTp6OtrY1rh/raPvrooxq+VyKR4Pz58/D19UVERITGqotPP/0UEydO5HRvlxYvXgwfHx9IpVJER0cjMDAQwcHBnB/vycyZM2FtbQ2ZTHbHtHr1ahw4cADAf9u206dPIygoCJ2dnRq669evh42NDUQikUafoWdSn/voo4/w3Xffabz/6tWr8PHxwbFjx7h2AgAiIiJgYWGBpqYmnamxsZHb//bbb7Fx40buvQ0NDThz5gx8fX3Rs79uZGQET09PKJVKjXxU36ve6ZdffsHrr7+OpKQkzpfpehTKyMgI48eP19lX0LV/7NgxrR/uU/d7Dxw4wK3EcXJyQlVVFRQKhUY/t68UFBQEAAgNDUVoaOhtV1PqekSpr1gqISGBe26TiJCWlobjx4/j7NmzGmVt9OjR2Lx5M9rb2/VKhYWFGDNmTJ82/hn4W8549kVOTg69//77ZGdnR59++qnBeiUlJbRz506NWaSDBw/yYGk36hmJ4cOH0/79+3nTraqqoh07dpCHhwcdO3bMYL3i4mLavn073X333Vw+pKamGqQpEokoMDCQVqxYwc0UGRsbU2lpqcH2qiksLKSNGzeSra0tFRQUGKxXXl5O33//PTdibGlpSfX19QPSUqlUVFRURLt376aHH35YY5R84sSJpFAoDLZXLpdTeHg4vfLKK2RhYUFOTk4kkUgGrNfS0kInT56kZcuWacykP/LIIwbbKpFIKDg4mFasWMHNjM+ZM8dgXTU3b96kHTt20D/+8Q968MEHedMVi8V07NgxmjNnjsYspqHIZDLy8/Ojxx9/nJYvX86b7s2bN2nbtm00cuRIWr9+PW+6ap8zatQo2rx5s0FaCoWC4uLi6P3339eYpeo54m0I169fpx07dtC4ceMIAPn4+PCiS9Q92/7pp5+So6MjnTlzZsA6SqWS0tLSaPPmzTRhwgQuDwz1kWrdTZs2acwWWFhYUHV19YB1iYiam5vp2LFjtGjRIm6FiZWV1YB9JFH3KoOIiAjasGEDubu7c/a6ubkZ5Muqq6vJ09OTnn32WbKwsOB07777bl58L1G3/w0KCqKnn36aHB0dDbK3s7OTAgMD6fXXX6dhw4Zx9j7++OMG21lSUkI//PADTZs2jdNduHChwbpERK2treTt7U2PPfYYAaAFCxbwoltbW0s///wzZ/OyZcsM0pPJZBQZGUnr1q3TWMGwZcsWg20Vi8Xk5+dHS5Ys4cra1q1bDdYl6i5joaGhtGTJEjI1NaVt27bxoltUVERffvklt0Lv999/H7CWSqUioVBIX3/9Nd17771as4J8UVlZSdu3b6cRI0ZQYGDggHXKysro559/pvnz52vMAltaWlJNTY3BdkqlUgoKCqKXXnqJ85PFxcUG6/6ZQB8znn/LwFONSCSi8PBwXjWLiopo27Zt9MILL/DWMKmRy+WUn5/Pq6Za9+rVq7zpqVQqys/Ppy1bttCmTZt40xWLxXTu3Dl67bXX6PPPP+dNV01nZyfduHGDV83CwkLasmULb53h+vp6Onr0KC1dupRsbGzo5MmTvOiqaWlpoUOHDlFWVhYvehKJhMLDw2nt2rXk4uJCCQkJvOgSdd+vs2fP0tKlSyknJ4c3XaLujndkZCR1dnbyqkvUXSaUSiXvuteuXeNdU6FQUGJi4qDoZmZm8qqXkJBAGzdupIULF3JLG/lA/cjGgQMHeNNUI5FIqLCwkBct9SDVrl27aMaMGbR27VredC9dukTfffcdTZs2jT777DNedIm6A47jx4/T888/T7t27eJFs3fQ/J///IcX3Y6ODgoMDKRVq1aRg4ODQQMGfVFeXk61tbW8aKmDJHUwnpKSwosuUbev2b17N82cOZNyc3N50yXqzoMdO3ZQY2Mjr7qXLl2ir7/+mjo6OnjRUygUFB8fTxs3bqR77rmH2traeNEl6q4XPj4+tHLlSpJKpbzpEhHV1dXxXnaVSiXFxsbSjz/+yJtmaWkp7dmzhx566CF67rnneNNVI5fLeWszW1pa6MyZM7Ry5Uqyt7enf/7zn7zoqmlubiYvLy86fvw4r7p/NH0Fnn+bpbb/a9T59mf/38a/KgP9xdW/E11dXbh+/TomTZr0R5uiF0qlEo2Njbz8D2JvqB+/fsj4e6NeIsz3f+r91airqxuUutbQ0MDb/wr2RC6X6/3rrfpCRKivr+c9HxQKBW7duvWnX8qmRqVSobm5mbf/Ou7JYNy3vxoqlQpyubzff/fB0I+6ujq9/mXhz4BCoUBeXh6v/0H7d6WvpbYs8GQwGAwGg8FgMBgMBi/0FXj++YcXGAwGg8FgMBgMBoPxl4YFngwGg8FgMBgMBoPBGFRY4MlgMBgMBoPBYDAYjEGFBZ4MBoPBYDAYDAaDwRhUWODJYDAYDAaDwWAwGIxBhQWeDAaDwWAwGAwGg8EYVFjgyWAwGAwGg8FgMBiMQYUFngwGg8FgMBgMBoPBGFRY4MlgMBgMBoPBYDAYjEGFBZ4MBoPBYDAYDAaDwRhUWODJYDAYDAaDwWAwGIxBhQWeDAaDwWAwGAwGg8EYVP6/CDxVKtWg6BLRX0K3q6sLCQkJaG1t5VUXACQSCRQKBS9aLS0tiI6Oxr/+9S+8+eab6Ojo4EVXDRHh2rVrg3LfqqqqeNcEgObmZt416+rqkJyczLsuAMhkMl50FAoFCgsLcfToUXzwwQfYu3cvL7oymQy5ubnw9vbGhg0bcODAAV501UilUqSmpiIzM5M3TbFYjOTkZOzduxfR0dG86ba2tiIqKgo7d+5EUlISb7oKhQI5OTn4/fffUVBQwJvuYEJEKCoqQktLC6+6TU1NOH/+PNra2njVVdvLV33rqXvt2jXe20wiQnFx8aD43q6uLl716urqEBwcjN9//31Q7JXL5bxpKZVKFBYWwsvLC4cPH+ZFk4hQWVmJoKAgbNmyhXcfCQAVFRUoLCzkTU8ul0MoFOI///kPLl68yJsuEaG8vBwnTpxAeno6b7pAd98pISEBV69e5VUXANrb23n3ZYOJSqXirR8JAG1tbVzbNlh9KKVSyaumUqlEXl7eoMUrfyZMDXmzkZHRMADeAO4FQADeIqI0PgwzBKlUiqSkJFy8eBEJCQkICQnB8OHDDdaVy+VITU2FQCBAWloagoODYW9vz4u9ycnJEAgEyMvLw/nz52FtbT1gvc7OTqSmpiIxMRGJiYnIyMjA7NmzER8fb7CtKpUK+fn5iIqKQmRkJJRKJWJjY/ut09bWhpycHAiFQmRnZyM7OxvXrl3jXt+7dy+GDh1qsL2VlZWIiYlBbGwsYmNj8eSTT+LIkSMG69bX1yM2NhYxMTGIiYnB4sWLsW/fPoN129vbkZCQgKioKERHR2Pp0qXYuXOnQZqVlZVISEhAYmIi19D5+PjgkUceMdhehUKBjIwMREREIDIyEmvWrMH69ev7rXHlyhUIhUKuPOTn50MikQAAhg4diuLi4n7bJpPJcPnyZWRnZ3PaBQUFXGfd2dkZu3bt6rduT9ra2pCWloakpCQkJycjMzOT62QPBJVKhZKSEmRkZCAjIwPp6ekoKCiAUqnEiBEjBqwrk8lQUFCAjIwMZGZmIiMjg+vw3H333di0adOAdAGgoaEBaWlpXMrKyoJYLMa9996LdevWDVi3N5WVlQgPD0dCQgK8vLxgY2MzYC31PYqPj0dcXBwSEhLg5uaGnJwcg2ysqKhAUlISVx6KiorwzDPP4PnnnzdIl4hQUlKCuLg4xMXFIT4+HjNmzEB4eLhBugBw69YtxMbGIi4uDrGxsXjooYdw5swZg+0tKyvjNOPi4rB06VJeghilUomcnBxERkYiMjIS06dPx7///e8BacnlcuTn52uU3xs3bgAAAgICYGRkZLC9KpUKubm5iIiIQEREBJYsWYKPP/54QFq1tbVIT0/nfEN2djY6OzthbGw84LLb0NCArKwsZGdnIysrC1lZWairqwMADBkyZMA+Rw0R4fr164iPj0dCQgISEhJw69Yt5ObmDlizsrIS6enpXBIKhejq6oKTk5NBgVxXVxeEQiFSU1ORmpqKtLQ01NXVwc3NzeAAsaWlBSkpKZx/yM7OhpOTE0pKSgzSBbr7kGlpaVx/pKKiAleuXDFYV01FRQXCwsKQkpICb29vg/qnampraxEZGYmIiAiUl5cjISFhQDpKpRJFRUUa5eHKlSsgIrz99ttwcHAw2Nb29nYkJiYiOjoaMTExGDlyJC5cuGCQprovrW6DEhMTsXTpUl76p392DAo8AewDcJGIXjYyMjIHYHhpHCBlZWW4ePEiLl68iLi4OIjFYgDAZ599ZlDQWVVVBYFAAIFAgOjoaLS3twMAtm/fblDQWVFRwenGxMRAJBIBAPbv39/vSt3S0oLk5GQu0BQKhVqjMd988w1UKhVMTEz6beutW7cQFRWFqKgoxMTEoKGhgXstPj5er8aZiBAQEIDg4GBkZ2ff1tmamppCJBLhyJEjcHV1hZubG1xdXeHi4gJzc/Pbfk5DQwPX2YmNjUVpaSn3mpWVFXbs2KHHN9amo6MDiYmJnGPvOZMzdOhQfP311wPSlcvlyMzM5ALN9PR07t45Ojri888/75eeupHvGWhev35d45pJkyZh2bJlIKIBdayuX7/ONRgxMTFcnRgzZgzWrFmjl0Zrayt2796N+Ph4jSBTF2PHjsXx48fh5uamkZycnLTKc0NDA3744QckJSVpBJl96Xp5ecHNzQ3u7u4ausbGuheDVFdXIzk5mQssCgoKtEYo33zzTVhYWEAsFsPKyuq2edzc3Iy0tDQu0MzMzOxzZcLcuXORkJAAZ2dnODk5wcnJCUOHDtWpX1lZicTERC7IzM3NhVQq1an70EMPQSAQwNnZmdMeNmyYTl31THTPjnrPAaOeLF68GFlZWXBwcICjoyPs7e375X9UKhWys7MRFhaG0NBQ5OXlAQC+/vrrfgedPQNNdaqvr9e45uTJk/22r6ioSCPQvHXrltZ1H3zwAVpaWmBra6u3vnrmUd0piYuLQ01NDfe6sbExfvzxR71t7Ul9fb2GjywrK+NeMzMzw/fffz8g3Zs3b2oEsJWVldxrQ4YMwbZt2wakC3S3QepAMzo6mpvFsLa2xtmzZ/XWqampQVpaGtLT05GWlobs7GydM6ajRo2CnZ0dcnNzufJrY2Ojt7/s2amOiori2kx3d3e9B2O6urqQk5OjEWjevHlT57UPPPAAKioqIBKJON8wbNgwnX6subkZhw8fRkZGBrKysvrUBIB77rkH58+fh6urK5dcXFz69DtAd9ktLS3lgsyEhASNsgAAb7zxBu6991698kEsFkMoFGoEFtXV1TqvnTdvHhfQOTo6wsnJCdbW1n3aWlVVxQWYqampyMnJ0Tkj/eKLL6K0tBQODg5wcHCAra3tHctCZWUl5xeSkpJw6dIlrRn0999/H1KpFJaWljA11b87rlQqkZuby/VHkpOTNdrQ3377Dba2tnrr6dJPT09HWFgYwsLCcOnSJQDAjh07Bhx0qidY1IPU+fn53GsnTpy4Y99OTUNDA1cf0tPTkZmZ2efquNmzZyM5OZkrC/b29nrls1QqRXp6OmJiYhAdHY3MzEyuX2ZkZISTJ0/qZWtPVCoVLl26xA0cJiQkaMxKW1tb47vvvuu37l8Ro4EuJTEyMrIFkA9gLOkpMmPGDMrOzh7Q5/VGJBIhLi6OCzb76vzMmzcPzs7OMDMzg6mpKUxNTbn93uceeeQRPP7440hJSeGCwr6Wg7zwwgsYNmwYTE1NYWJictvtE088gVmzZiExMZHT7WsUcdmyZbCxsbmjpomJCZydnXH06FEIhUK9lwRZW1tj6NChsLW11dqq9xctWsQtw4uKiurTVmNjY8yYMQMWFhZ6pVdffRWlpaXw9PTExYsXB7SMycHBgQtE1emee+7BlStXEBsbe9ulfSYmJnB1dYWVlRWsra01Uu9zlpaWmDFjBvLy8hATE4OMjIw+l4JYWFjAw8MDVlZWd0wWFhZYvHgxMjIyEBUVhfj4eHR2durUHTp0KO666y5YWlpyycLCQuexiYkJTExM4OPjo/eyXxMTE40yoKtcDB06FJs2bUJCQgLXYPQM5nsycuRI3HPPPTA3N4eZmRnMzc251PPYzMwM9vb2WLduHU6dOoUDBw4MaEmmsbExXFxcNALHsWPH4v3338fx48dx8ODBAY36mpiYwMXFRSMYHTFiBEpLS/s9E2Rqaophw4bBzs5OI6nPjRs3Dubm5vD29kZWVla/bTU3N+c6mj3T1KlTYWpqisOHDyM1NbXfuqampnBycuICUXVQOnbsWJSXl+PUqVP9XsplZGSEYcOGcR35nunJJ5/Ec889h87OTkRFRSEsLAzh4eHczEtPNm7cyI1iqzt/vbfqfUdHRyQmJiI+Pl6nVk+MjY1hY2ODIUOGcKn3sfqcm5sbfv/99z7rQl8MGTJEqyyok62tLTw8PCAUChEXF6fVWe+NjY2NXsna2hp33XUXCgsLERsby3Ui+8oDZ2dnLf+oK1lZWWHUqFEQCoWIjY3tsw1W6zo4OHD2qFPP4577a9euRVFRERds9lWPhw0bhmnTpmn4mt7JwsIC5ubmMDY2xsiRI3Hy5MkBLS23sLDQWXYdHR2xefNm5OTkcLOaPTvVPfHw8MB9993H+UG1X9S1b2FhgcmTJ+Pw4cOIiIjo9xI8Y2NjrsPdc7BqxIgRWLlyJby9vXHkyBGtARh9sLS01AhE1QPEjY2NCAkJQW1trV466vqlbmt6JvX5ESNGwMzMDIcPHx5QO2Fpacnlgzo5OjrCw8MD169fx5kzZ/r9WI+JiQns7e25QLRnGjlyJAQCQb9XgllbW8PW1rZP3zBhwgQoFArExMQgPj7+to9ODR8+HEOGDOH6Her62jtZW1tjwYIFmD9/PlpbWxEREYGwsDAIBAI0NTVp6W7cuBF2dnYwMjLS8Lm9942MjPDUU0/Bzs6OqxPx8fHchFBvFixYAEtLS4060Nd23LhxSE5OHtB9AwB7e3uuPKi3Dg4OmDVrFm7duoWYmBgkJib2ORhuYmKC0aNHc3loaWmpM2/VfTRnZ2ckJSUhISFBZ572xMrKimtj1Kmv4/feew8jRozo9/f/X2JkZCQkohlaLxDRgBKA+wFkAjgKIBfdS25tbvee6dOnEx9cunSJnn32WTIxMSF0L/HlJa1evZpa5eSPAAAgAElEQVQeeughXjUB0Pr162natGm86x44cIAaGhro999/59XuLVu20Nq1a8nR0ZFXewUCAXcPr1+/Tl999RW5ublpXWdlZUVDhw7VWzc4OJj2799PDz/8MK/2BgcH05YtW+iuu+7iVdfX15dWrVpFdnZ2vOpKJBLKyMigDz/8kJydnXnRNDc3px07dtCkSZN4tXX48OFcWVCpVJSWlkarV68mS0tLrWtdXFzI2tpaL90JEyZo6CYkJNCrr75KZmZmWte6ubmRlZWVXrqzZs0iIqIrV67Qli1baOTIkbzkw9NPP83Zm5+fTx9++CE5ODgYrPvKK69wupcvX6ZPPvmEl/q8fv16IiKSSCR05swZWrhwIRkZGRmsu2rVKnrmmWfI3Nyc13L2008/UV5eHm3atIm3ewaAvLy8SCqVUlBQEC1dulRn+RpIOn36NIWHh9Prr79OQ4YM4c3ewMBA8vLyoieeeIKMjY15042OjqZDhw7R/PnzeSkH6vTDDz/QvHnzeLUVADU3NxMR0dWrV+nLL7+k4cOH86K7bds2GjduHK+22tnZcXX45s2btGPHDho9erTBuh4eHpyuVCqlgIAAWrhwoc5r+1MGJ0+eTBKJhPz9/enFF1/krS4/9thjnD/Pysqid999l2xtbQ3WXbx4MRERiUQiOnHiBD3xxBO82Ltq1SpSKpWUmJhI77zzDm/t/LvvvkvHjx+nRYsW8eZvANDbb79N8+fP570//cEHH9Bzzz3Hu0/39fUlIqLOzk46evQoPfbYY7zo/v7777Rr1y6aOnUqr/bGxMRQaGgovfbaa2RjY8ObbkFBgYGR1OADIJt0xIKGzHjOAJAO4GEiyjAyMtoHoJ2Itva6bh2AdQAwatSo6RUVFQP6PF00NTUhNDQUQUFBiIiI0LmUbPbs2TA3N4dCoYBcLodCodDY73nuww8/xJYtW1BaWorg4GAEBQUhLU33I6szZsyAkZERlEolFArFbbdff/01Nm7ciOLiYgQFBSEoKAh9zfzOnj2be9BaraFLV6FQYO/evXjjjTe49167dg2nTp3CiRMnNJayWlhYwNPTE11dXWhvb0dHRwfa29s19ntuDx06hKeeegpyuRwJCQnw9/fHuXPn0NjYqGGrlZUVXn75ZUilUr1SQECA1nOFcrkc58+fh6enJ6KiogB0L9ksKytDV1cX6urqUFtby2177qu30dHRGDt2LIDu5V7+/v44c+aMVh57eHhg9erVEIvFEIvFkEgk3L6ulJmZiZEjR4KIkJubCz8/P5w9e5Z7BkjNmDFj8MILL0AikWilrq4urXMlJSWwtbWFVCpFVFQU/P39ERwczC1ZVTNu3Dg8/vjj6OrqQldXF6RSKbff+1gqlaKmpoYbeVQoFIiOjsaJEycQFBSkMdL4xBNPYOXKlRr3vK99MzMzbobkypUrCAwMRGBgILfssScTJ07ExIkTIZPJIJfLIZPJuNT72M3NDUKhUEujubkZvr6+OHjwIPdMzfbt2/HNN9+gs7MTtbW1qKmp4cpC7zRmzBgEBARo6dbX1+Po0aPw9PREeXk5AGDfvn344IMP0NHRoVOr5+fcf//98PHx4fRUKhUSExPh6+sLf39/jVnrLVu2YPr06Whra0NbWxtaW1u5/d7nnnjiCRw8eFDD1q6uLgQHB+Pw4cMaPyYUGBiIadOmoaGhAY2NjVzSdbxkyRKtJZNSqRQhISHw9vbm6hoAJCQkYMyYMZxOQ0MDl3ofr1mzBps3b9bQvXnzJnx9feHj48PlLQBER0dj2LBhaG5uRlNTE5qamvrc/+c//4mXXnoJ4eHhOH/+PKKiovocHXdxcYGRkRG3YqL3tuf+jh078N5773H3LCUlBadOnYK/v7/G6LOxsTF2794NuVwOkUiEzs5OdHZ2auz3PP7ll1+wdOlS7v3Nzc3w8/ODr6+vRpthbW2NU6dOQSQSaZUBXenYsWN4/PHHAXQvMQwPD8fp06dx4cIFjfbNzs4OW7ZsgUgk4pLaPl0pODgYM2fOBNC9DDQgIABnzpxBSkqKVt6uX7/+tn6xZ4qLi8PEiRMBdC9jVev2nmX/xz/+gTfffJN7n0gk0tDpeSwSiZCXlwdXV1fU19cjODgYgYGBiImJ0XqEZMSIEZgzZw5kMhmkUqmGj9F1rry8XGOZtkKhQFRUFI4cOYKQkBBumaW6/vQup71Tc3MzZDIZ90zZpUuXcO7cOQQGBupcLTV27FjcfffdnE9U+0Vd+7qebVepVIiLi8Phw4dx7tw5rkxs2rQJGzdu1PADffkINzc3REZGatlWXl7OzYKqVwfs3r0b//znP9HQ0IC6ujrU1dWhvr6e2++ZJk6cCD8/P06vpaUFAQEBOHnypNbze2+//TamT5/OtTfq1NnZqXVuzpw5OHHihMb7xWIxzp07h8OHD2v8doWPjw8efvhhNDY2oqmpifvOPffVxwsXLsQvv/yioVtRUYFjx47h6NGjGo+o+Pj44O6770Zzc7NWamlp0Thevny5xpLJrq4uhIaG4vjx4xAIBBorp/bv3w9nZ2e0tbWhvb29T7/Q3t6O9evXc8/it7S0IDg4GGfPnkV0dLRWvXj33XdhZmam1fdQ93t6ps2bN2PFihUIDw9HaGgoIiIiuEe/euPu7g5A0+f23lcf/+tf/8LatWvR3t6O8PBwBAYGQiAQaPl1IyMjLFq0SKsO9LU9cOAAlixZoqFRWloKHx8fHD16lHskwdHREVlZWWhvb+fu/+22p06dwuzZswEAV69e5fp7ly9f1visYcOG4c0339TZt9PV57tw4QIeeOABAN0rNUNDQ3H69GkIBAKNZd0eHh746KOPNPz47fZTU1MxevRonffpz8JgzHi6AbjR4/hRAOG3ew9fM5666OjoIH9/f3r11Vc1RsP27t1rkG51dTUdPHiQnnrqKY1RpmPHjhmke/PmTfr111+1RppCQkIM0iXqHhnMzMykjz76iFxcXAjoHkk3BLlcTjExMbRhwwZydXXl7E1LSzPYXjVlZWW0efNmcnZ2ppiYGIP1SktLadeuXTRlyhQCQMbGxnTt2jWDNFUqFWVkZNCnn37KzaBYWlpSXV2dQbpdXV0UGhpKq1at4sqvvb09dXR0GKRL1F03Tpw4QU8//TQZGxuTo6MjiUQigzTLysroxx9/pAcffJArC1OmTCGVSmWwvUTd+RwXF0evvPIKTZgwgZRKJS+6SqWSIiIiaMmSJTRt2jRe7BWJRHTy5Ekuf3vOYhpKeXk5bd26lTw8PGjp0qWDovvWW2/xoqlUKik+Pp5WrVpFVlZW9Nlnnw1YSywWU3h4OL377rs0YsQIjZFePnykTCaj8PBwWrlyJTcKffToUYN1iYhKSkrom2++oTFjxhAA8vPzM1iztbWVfHx8aOHChVx7kZSUZLBuRUUF7dmzh6ZPn87lb2FhocG6169fp927d9MDDzxAAMjExIQqKioM0mxqaiIfHx967rnnuLbY1taWWltbDbaXiKihoYF++eUXmjJlCllaWlJTU5NBeiUlJfSvf/2LZs6cyeXt+PHjSaFQ8GJvU1MT7d+/n6ZOnUrDhw8nuVzOi65MJuNmQSdOnMiLj7x58ybt3r2b7rvvPgJA8+fP58HSbkpLS+mrr76iESNG8OZ71b5s9erVZG1tTa+99hovuvX19bR//36uTHz00UcGazY0NJCnp6fGaoY9e/YMWE8ikZBAIKANGzZo+d7w8HCDbBWJRHTu3DlauXKlRj/9woULBumqkcvlFBYWRkuWLCFTU1NefO+lS5fom2++oYkTJ3L2CoVCg3Wbm5vJy8tLY7VIUVGRwbp/JtDHjOeAA89uTSQBmPh/+9sA7Lnd9YMZePakq6uLLly4QGvXrqX777+fJBIJL7qtra106tQpWrZsGc2YMYO3BqSxsZGOHTtGL774Is2dO5e3zjtRd0UUCAS0b98+3jQVCgXFx8fT+++/Txs2bOBNV41UKqXy8nJeNS9fvkzffPMN7d+/nzdNpVJJKSkp9NFHH5Gnpydvuuog9I033iAfHx/edImIamtrad++fZScnMyb5s2bN2nfvn302GOP8daA9KSuro46Ozt5162srCSpVMqrZnV1Ne3du5e3zrAahUJBUVFRvAXgPXXj4+N59TlERG1tbXTu3DletFQqFQmFQtq2bRtNmzaNpk+fzqu9nZ2ddPr0adq6dStvmkTddicnJ/Neh+vq6ui3336jH3/8kVfd0tJS2rlzJ/3000+86hYXF9P27dt59ZGtra104sQJevHFF3lt24i671t2djavncCKigr65Zdf6NFHH6WAgADedIn+a29NTQ2vukRE165d42XwsyeFhYX05ZdfUnV1Na+6CoWCBAIByWQyXnXb29vpxIkTvPX31Fy5coV2797Nq25tbS395z//oZUrV/IyEKFSqSgnJ4e2bdtG06dPp9mzZ/Pme7u6uig8PJzeeustevHFF3nR7EldXR3Fx8fzpqdSqSg/P5+++uor3tuK6upq+uWXX+jgwYO86v7R9BV4Dnip7f9No96P7mc7zQGUA1hDRH3+4gSfPy6kL0qlEkqlUu9fzNKXrq4uGBsb864rFothbm7er184+yOhAf4yKkM//mr5q1Ao/jJll/HXpKqqCg4ODrCysvqjTWH8CVAqlQP6tfY/CrlcDjMzsz/aDAaj31RVVcHJyQkWFha86ioUCpiYmPyl+jqMO9PXUluDeohElAdAe/3unwj1r33yjaWlJe+aAHj5f6T/JcxRDC5/tfxlQSdjsPmz/5If43/LXynoBMCCTsZflsHyvazf8P8Xuv+sjsFgMBgMBoPBYDAYDJ5ggSeDwWAwGAwGg8FgMAYVFngyGAwGg8FgMBgMBmNQYYEng8FgMBgMBoPBYDAGFRZ4MhgMBoPBYDAYDAZjUGGBJ4PBYDAYDAaDwWAwBhUWeDIYDAaDwWAwGAwGY1BhgSeDwWAwGAwGg8FgMAYVFngyGAwGg8FgMBgMBmNQYYEng8FgMBgMBoPBYDAGFRZ4MhgMBoPBYDAYDAZjUGGBJ4PBYDAYDAaDwWAwBhXTP9qAvyIikQhpaWmYOHEiRo4cyau2WCyGkZERrKyseNFTqVQoKipCSkoKXn75ZTg6OvKiq1AokJeXh7S0NLz55psYOnQoL7pqRCIRrK2tYWRkxJteZmYm8vPzsXHjRpia8lv0Ozs7MWTIEF60mpubkZWVhczMTHR0dGD37t285QMAEBGqq6sxYsQIg7Xq6uqQm5uLnJwc5OTkYMyYMdizZw8PVvIPEeHWrVucrTk5OZg/fz4++eQTg3UrKio0dJcuXYq1a9fyZHk3SqUSnZ2dsLOz41VXLpdDIpHA1taWN826ujokJydjypQpmDBhgkFaKpUKZWVlEAqFXP7++9//xtSpU3mytrvOJScnY86cOXB2duZNF+guH0QEY2PDxnmJCOXl5RAKhcjOzkZJSQmOHDkCBwcHniz97+fw5W+ampqQlZWFrKwsVFZW4rfffoOZmZnBukSEmzdvIi0tDRUVFdi0aZPBNhMRKisrOXvlcjn27NljsG5zc7OGb3BxccH+/fsN0uwNEaGxsZHXsqtSqXD58mV0dHTgoYceMlhPKpWioKAA2dnZyM7OxuzZs/HOO+/wYOl/EYvFaG1txfDhw3nVBQCZTAZzc3NedAoKCrhytnr1asydO9cgTXV9EAqFXNqxYwdmzZplkK5UKsXly5eRk5OD3Nxc5OXlwdPTE/fee69Bur0hIqhUKpiYmPCqq1AoYGRkxKtufX09kpOT8dxzz8HCwoI33erqaqSnp+OFF17gPR/+bPxtA8+ysjKEhoYiOjoaR48eNcght7W1ISUlBYmJiUhISEB2djbGjx+PgoICg+1UqVTIz89HZGQkIiMjUVtbi7y8vAHrdXV1ISsrC8nJyUhJSUFKSgpaW1uxZMkSrF+/fsC67e3tSE9P53QzMjIgEonw9ttv8xJ0qlQqFBQUICIiAhEREbC3t0dgYOCA9aqqqrjvn5qaitzcXCiVSnz//fe8BJ1KpRJZWVm4ePEiIiIi/h977x0X1bH//7+WpffeoqLEgL0gSlPpAmIvWIIVS4rRa4xRYzRqYqqJJiYW1ASj8UZFxS4CFqTYABUhsQAaBSnSlmWpu+/fH373fFh2QWCPuTf3N8/HYx7nnN1zXvveOTPvmffM7Fm4u7tj8+bN7daRSCTIyMjgAs3r168jJyeHe//ChQu8dAILCgoQHx+PuLg4xMfHY/Xq1Vi0aFGbryci5OfnK3Sg0tPTkZ+fz51jZGSEP/74Q21b5ZSUlODs2bM4deoUwsPDMWbMmDZfK5PJkJOTo2BrRkYGSktLuXMcHBxw8ODBdtkkD4Ka50N5eTl3Tu/evTFz5sx26bbEX3/9xfmGxMREJCcn8xJ4Pnz4kNO9du0a0tPTOxx4ygOiK1eu4MqVK0hKSsL9+/fh5OSEzMzMdmlJpVLcu3cP6enpXKCZkZGBqqoq7pyIiAi1g85nz57hypUrSExMRGJiIjIzMzFs2DBcvnxZLV05IpEI8fHxOHPmDJ4+fYozZ86063oiwqNHj3Dz5k0u0GxezjZv3sxb0FlZWYn4+HicPn0aAoEAe/bsabdGdXU1MjIycP36dc6f5ebmcu8fOHCgw0FnbW0t0tPTkZqaipSUFKSmpuLZs2cAgP3793fIRz5//pzr/MtTUVER935KSkq7dYuLizmfIC+/jx494t7X09NDVlZWu21t6bPi4+Nx/vx5xMXFYdOmTZg2bVqH9aRSKW7fvs31c65cucINHLSXhoYGZGVlcUHmjRs3kJmZiYaGBgDAa6+9hi1btnTYVjmNjY1IS0tDfHw84uPjcf36daSnp6utC7xomy9duoRz584hPj4eJ06cQPfu3dulIfdnTcvYrVu3UF9fDwDw8vLCsGHD2qUp9w3y8iUPNJu2bVOmTGl30FldXY3bt28rDCRnZWVx9wwAFi9ezFvQKfc5Z8+eRU5ODs6fP89LwPX06VPExsbi3LlzqKiowPnz59XSy8/Px+XLl7l68eeff2LOnDmYMGFChzXl91CumZiYiJycHCxbtkwt3X8K/zOBZ0NDA5KTk3Hq1CmcOnUK9+7dA/CiorQ36CwtLeU6JZcvX8atW7cgk8kUzvnXv/4FkUgEIyOjdjem+fn5iIuLw/nz5xEfH4+SkhLuvfY2zs+fP0dKSgqSkpKQlJSEtLQ0zqk1Zfz48cjKyoKpqSlMTU1fOpv45MkTheD1zp07SnkgEAgQFBSEO3fuwMzMDKampjA0NGxzY11cXIy4uDjExsbi/PnzCo1+e4JvqVSKzMxMLshMTk7G48ePlc4zMDDAwIEDcevWLZiZmcHMzAxGRkZttlfu0GJjYxEfH891AvX19XHs2LE2adTX1+P3339HcnIyrl+/jszMTEilUpXn2tnZISMjA/n5+bCysoK1tTWsra1hZWX10pFXsViMy5cvIy4uDnFxccjOzubec3R0xIIFC9pkr1gsxoYNGxAVFaVQTlVhYWGBzz//HHZ2dlyyt7eHnZ0drKysXjrjQ0S4c+cOTp8+jVOnTuHq1asgIjg5OeHAgQNtsrekpAQrV67E4cOHFYIVVRgZGWHFihWcjfKtnZ0dLCwsFOwtKCjAhx9+iOPHj0MsFreqq6Ojg+XLlyvlgZ2dHczNzVstb2KxGJcuXeKCQrkfA4C3334br7/+epvyoTkVFRW4ePEip9s0IFi1ahXs7OzarCWvb00DTXkQ0JTZs2fjyZMnMDY2homJSatl9tq1a/joo49w9epVSCSSVj+/tLQUH330kUI5s7Ozg62tLfT19ZXOl89Iy4PMxMREPHjwQOm8RYsWoaSkBMbGxtDR0WlX0EFEyMrKwtmzZ3HmzBkkJSWhsbERAHDkyJE2zXYSEY4dO4YdO3YgLS0NZWVlLZ4rEAiQk5ODr776Cra2tlyysbGBlZXVSztwRIQ///wTp0+fxpkzZ3DlyhXO3uvXr7fpO8tkMvz++++4cOECrl+/jqysLKU2Qo6BgQEePXqEn3/+mfNj8qTqnj158gSpqalcSk9PV+gAy7GysoKenh4SExNhbm4OCwsLmJubq5yJqKurw549e3Dp0iXcuHFDISBszmuvvYZLly4hOzsbNjY2nK02NjZKq5EkEgk+//xzREVFKQzEqcLS0hKbNm1S8Any9DIfWVtbi6SkJC7QbNpGDhw4EFOmTGn1s5vT0NCA9PR0rp+TlJSEyspKhXNCQ0Ph4OCA2tral9aJoqIifP3110hOTsatW7dQV1fX4rmdO3fGli1buDLbNLW22ouIcO/ePcTHxyMhIQEXL15UsHnhwoVwdnZuRy4oa587dw5nz57F5cuXue8wf/78Nged2dnZiIqKwo0bN3Dz5s1W2wt7e3v8+OOPCuXL2toa5ubmSnU4IyMDa9asQWpqaqu+AQBqamqwZs0a2Nracr5Rvm2ev6mpqVi6dClu3LjRYv2Vk5eXh2XLlsHe3l6p3XzZBAQR4e7du5yPTE5O5nzO/v37OzwoVVdXh+TkZO6+3b17l3vv3Llz7fbjjx49Ugg0m7aVAKCpqYm33noLFRUVMDIyalOwTES4f/8+p5uYmIgnT54onKOvr49Zs2a1S/efioCI/rYPc3V1pZs3b/KmV1ZWxs2IyEc3mhMWFgZbW1sAUCiAqva7dOmCI0eOICkpqV126OrqwsjIiEvGxsYKx8HBwdDX1+eCzdZGPHv16gVdXV1oa2tDR0en1a2joyMOHDiAjuSppqYmF4Q2TSYmJnBycsKhQ4eQlpbWbl2hUKigJw9ITU1NsWDBAkgkEi54a2lkUltbGy4uLtDS0oK2trbKrXxfU1MTXbp0we+//94hezU0NDg75bbK95ctW4a8vDzO3qbBW1OMjY3Rp08fBdua29r0+J133sHRo0exe/duhdnN9mBiYsIFodbW1rC0tMTUqVORkpKCuLg4pKamck69OYaGhrCxsYGuri50dHRUbuX7+vr6+Pbbb5GSkoJt27YhOjpa5cDGyxAKhVzjZ2dnh9deew3btm1DbW0tLly4wA0YPX36VOnaQYMGYciQIRAIBFxdle83P7azs8MHH3yA+Ph4bNu2DSdPnnxpY6oKLS0t2Nraco1q3759sXbtWpw+fRrbt29HbGxsuzWBF0GpPB/s7e3h6uqKwMBALiBMSUlR2cEGgK5du3Kdam1tbQVf0PzYxcUFPXv2VJjVbGmA4/XXX4epqalKzeb6Xbt2xYkTJ3DlypV2f3ddXV2YmJioTKGhofD29kZUVBR27NiBhw8ftlsfeFEXm3bm+/Tpg4MHD7Z7dYqWlhbnx42NjRWSkZERwsPD4eLigoSEBJw5cwZnz55V6kgAL8rluHHjoKmpCaFQCA0NDQiFwhbTnDlz0NjYiJ07d+LAgQOorq5udx5oaGjAyspKISBdsmQJevTogYsXL+LMmTM4ffq0ysDL0NAQY8eOhYaGhlKS2980LVy4EElJSYiMjOzQzBjwIihtGohaWlrCzc0NJ0+exNmzZztUf/X19bkgVL41NzfHihUrcPbsWezcubPds/Fy5P6zabCwadMm3L59G9u3b1fLR9rY2CgMpLz99tvcgFFiYiJqa2tVXmthYQE7Ozvo6Ogo9BOa7+vo6MDQ0BBisRi//vpru8qXpqamUt+maXJ0dMRbb72FvXv3IjIyUuXgTlswNjbmglBbW1t0794dvXv35mY1Wwvu5f5E3obp6upCT09P5f7AgQMxbdo0XLhwAefOncO5c+daHIwYNGgQbGxsoKmp+dLk5uYGJycnREZGql2Hm5ax4OBgBAUF4ZdffsHOnTuRl5fXbl15HjUNRCdMmICQkBAcOHAAP/30U4dX8hkaGnLtmr29PaZPnw5vb29uVvPs2bMq23cAGD16NLS0tBR8odxnNk/h4eGwtLTkAs0LFy6ozGMNDQ34+flBS0sLmpqa3LZpkr8mFArRpUsXbNu2TSnQfBn6+vpK/f6m+127dsWPP/740kEpVbpN26DmuitXroSDg0O7NP9uBAJBGhG5Kr0h//3J35EGDRpEfHD37l0KCgoiDQ0NAsBbWrFiBdXU1FB0dDSNGzeOtLS0eNF999136YMPPqCuXbvyau/27du5/Pjwww/J3t6eF90DBw5wusuXLyc7OztedFevXk2jR48mHR0dXvPh6tWrRER0584dWrZsGdnY2PCi++mnn5KPjw/v5ayoqIiIiKRSKSUkJNDUqVNJW1tb6TwDAwOVr7eUjh8/ThEREWRubs6brXp6egp1r7i4mL788kvq1q2b0rnOzs7Uo0cPMjY2fqmulZUVLVq0iPT09HjN2969eyvY+9dff9GaNWvI1tZW6dz+/fuTk5MTGRkZvVTX3d1dQffBgwf0wQcfqMxrFxcX6t69O+nr679U19vbmz799FPq378/r/kwZswYWrt2LfXu3ZtX3UWLFhER0a1bt2jZsmUq87Uj6aOPPuLyViqV0vnz52nChAkkFAoVztPS0qKBAweSra1tm+rlV199RbW1tXTkyBEaP358u+pTa+lf//oX9erVi9e8BUBHjhzh8qGyspK2bdtG/fr1UzrPyMiIHB0d21x/Vq5cydu9apoyMjI4ezMyMuidd95RWf8NDAzI0NCwzboPHjwgIqL8/Hz68ssvydnZmRd7nz9/TkREMpmMrl69SnPnzlVZT01MTNplb319fZt8ZPfu3cnZ2blNPtLAwID27t1Lo0eP5q3cAiAHBweSyWSUkpJC7777LllaWvKi279/fy4PZDIZJSQkUFhYmMp+VKdOncjExKRNukOHDqUTJ05QeHh4m3x1W1NgYCBNmTKF9zZozpw5XD6IRCLauXMnubq6qjzXxsZGyce1lJYsWaLgI8+dO0fjxo1T8oMaGhrUt29fsrKyanZ+3PgAACAASURBVJPuJ598onDfkpOTKTw8XKnM6erqkoeHBzk4OLSpPL7zzjvk4uLCa94CoGXLlpGXlxcJBAJedU+ePEnPnz+n7du3k5eXF2+6iYmJVFxcTD/++CO5u7vzpnvnzh0V0dF/FwBukopY8B8741lTU4OEhAScPHkSp06dQkFBgcrzunXrBm1tbTT9ni3tL1iwAMuXL+eOy8rKEB0djf379yuN8O/Zswf6+voQiUSoqqriUtNj+f6yZcswY8YMEBHS09MRHR2N6OholaP6ERERICLU19ejvr4edXV1Ctum++vXr8fkyZO5a6VSKRISErB3714cO3YMNTU1AF78riQhIQH19fWoqKh4adq8eTN8fHw43cbGRsTHx2Pv3r2IiYnhRl3Nzc0RHx8PsViM8vJy7vqW9n/++We4uLigqqoKp0+fxtGjR3HmzBml0SpjY2OMGTMGDQ0NqK+vR0NDQ6v7R44cQe/evRXsjY2Nxd69e3H8+HFu9Ll37944dOgQysvLObvk+02T/PX4+HhYW1ujuLgYJ06cwJEjR5CQkKA0I2Vvbw8fHx8Fm5qm5q9fv35d6Xd6z58/x759+7Br1y7ud5JjxoxBTEwMRCIRiouLUVJSguLiYoV9+VYsFuPq1asAXiyhunjxIg4fPoxjx44p/PYDAPr37w8/Pz/U1tairq6O2zbdl2+1tbVVzmTIZDLExsZi27ZtOH36NIgIb7/9NrZt2wbgxfKzZ8+eoaCgAM+ePVNIBQUFMDU1xaFDh3D37l2cOHECJ0+exLVr15Q+BwBsbW1hYWHB1dWmDqz5sZOTE06fPq2k0dDQgJiYGGzfvh0XL14EAHz99ddcfReLxUr2yvcLCgrQt29ffP/990q6tbW1OHz4MLZv347U1FQAQGRkJObPnw8iQlVVVYu6z549g6enJzZu3Ajgxe8ujxw5gujoaJWrGEJDQ2FjY8P5geZ+oenxmDFj8MUXXwAA/vjjD0739u3bSroTJkyAmZmZSh/T/Dg8PByrVq3irm1sbERCQgJ+/fVXBZ8DAL/99hvMzc0hEolQWVnZanr77bdVPmgkPz8fu3fvxq5du7gR4wcPHqB79+6QSqUoLi7Gs2fPUFhYqFTOCgsL8eGHH2LcuHGcXks+XVNTEwcPHoRMJoNIJOKS3I83f+3zzz9HSEgIsrKyEBMTg5iYGJUrLoRCIby9vSGVSiGVSiGTybh9VWnbtm0ICAhQ0CAiXLt2DTt27MDBgwdRW1sLS0tL5OfnQ0tLC2KxGIWFhSgsLERRURG33/S1ffv2wdHREZcvX8bx48dx/PhxlbMP+vr6GDBgAGQyGZfkdqtKJ06cQI8ePRQ0qqurcfjwYezatQspKSkAABcXF6SlpUEikSj4sZZSYmKiwtI9IkJqaip++eUXHDx4kFtG7+/vj19//RVlZWUoLS1tdVtWVoaMjAylJWwikQgHDhzAzp07ueWrEydORHR0NGdvUVERZ1vzffkS2ObIfeT27dtx+vRpyGQyzJo1C1FRUVw+NS+zTZO2tjZOnTrF2Xjy5ElER0fj7NmzSstYBw8eDFdXV86Py+usqmN7e3uFFRsNDQ04f/48fvvtN8TExCjU4dmzZyM4OFihj9NSauknEcXFxYiKikJkZCS3wmfr1q1YtGgRamtrUVxczJXT5qmwsBCDBg3Cd999B+CFv42NjcWhQ4dw4sQJpWWsYWFhcHR0RE1NDWpra1FbW9vivr+/PzZv3gyJRILz58/j2LFjOHHihMqVc15eXjA1NUVjY6NCkkqlSq9NnDgRn332mZJGeno6du3ahd9++40rv8nJyXB3d0dZWZlC+W9axuTHM2fOxFtvvaWk+/TpU+zZs0fBR965cwd9+/ZFQ0MDl79yH9l0W1hYiEWLFqn8bXBJSQl++eUX7Nixg5tdzcvLQ9euXUFEKCsrU2gj5Vv5/urVqxEaGooHDx7g+PHjiImJQUpKCprHHAKBAP7+/kq+UZ6/zdOmTZswevRoFBYW4vjx4zh27BguXLig1C/T0tJCaGgod18aGhqU7lXTtHPnToWHPOXl5eHAgQPYv38//vzzT+51Kysr7N69+6X9fvn24MGD6NWrF3f9w4cPOd2mqwK6deuG77//vlWtpttz586hU6dOSvftv4n/qRnP5kilUrp58yatXbuWBg4cqDAqsHXrVl4+49GjR/T5559zo9zr1q1TS08mk9Ht27dpzZo11KNHD87eqKgoXuytrKykPXv20PDhwwkA7d69mxfdiooKioyM5EaEmo7QdwSJREIxMTE0Y8YMhRHQzMxMXuwtLS2lbdu20ZAhQwgA3bx5Uy298vJy2rdvH40fP550dXUJeDErWFxczIu9MpmMkpKSaNasWWRkZERPnz5VS6++vp7Onz9P8+bNIwsLC8L/G2WtqanhxV6iF3Xjo48+ImdnZ5JIJB3WKSgooF27dtGYMWMURqEDAwN5s5WIKDs7mxYvXkzu7u4kk8l4083IyKAFCxZQQECA2lp5eXn07bffkoeHB5cP8+fPV1v3wYMH9OWXXyqMwC9fvlxtXaIXo/tRUVHk5+dHAoGAli1bxosuEVFDQwMdO3aMRowYQatXr+ZFMy8vjzZu3Mj5359++kktvb/++ou2bt1K/v7+CrMYly9f5sVeohf+bMuWLdSjRw86fPhwh3VkMhmlpaXR2rVrFWZUNTU1KS8vjzd77969S0uWLCEzMzO1fa8csVhMe/fu5Vaj5Obm8qIrk8noxo0btGDBAjIzM6PCwkJedImIHj9+TKtXryZHR0eqrKxUS0skEtHvv/9OkyZN4vxkz549SSqVqm1nVVUV7du3j4KDg0lDQ4N69erFm4+USqUUFxdHkydPJldXV7V1JRIJHT16lKZOnUoGBgYEgCZPnqyWZn19PcXFxdE777yjsILs/fffV0u3KVVVVbRnzx5yc3Oj2bNn86Yr95FBQUG0dOlS3nQbGxvp9OnTNGrUKNqwYYNaWoWFhRQZGUkjR45UmDU9c+aMWrrl5eW0f/9+mjhxosIKhitXrqilS/R/vnLp0qXcqpH4+HhedK9du0aLFy/mZqf58pH/LaCFGc//icCzOX/99Rdt27aNQkJCyNHRkddOtkwmo4yMDNq0aROvndasrCxav349TZkyhZcGpCm5ublqB4iqePjwIZ0+fZo3vbq6Ojp37hzNnz+fV8cpJzs7mxdHJEcsFtPhw4dp2rRp9PXXX/OmK6e8vFztwLMp8iB0/vz5dPToUd505dTV1VF1dTUvWtXV1XTixAmaN28e2draUkpKCi+6TRGLxdTQ0MC7bmVlJa++4enTp/TDDz9QYGAgr51heXAbFBREFRUVvOkSvfDBO3bs4DUf5JSWlvKqJ+9Y7NixgzfNsrIy2rdvH02cOJHGjx/Pm64cmUxGz549400vNzeXtmzZQr6+vvTuu+/ypiunpqaGHj9+zLtuTk4Ob4OUTRGJRLzWNTl1dXVUVVXFm568DZoyZQovneGmFBYW0vfff08PHz7kVVeuXVdXx5tedXU1RUdH07Rp0yg/P58XTalUSlevXqUPP/yQBgwYQCUlJbzoNkW+pJxvXoWtRKT2oElTRCIRHTp0iKZNm0bBwcG8tRXyyYxZs2bR9OnTedGU09jYSOfPn6f9+/fzqltfX09nzpx5Jf30/yQtBZ7/2KW2bUW+FIOv/1j8OyDi73/U/qnIZDK1//fu7+SfZu8/CZlMhvLyct7+g/afzKvyDcznvDra8kTQ/yb4/E9iBuN/ASJCY2MjL/9By1Cmvr4empqavPehGhsbIRQK/zG+93+Nlpba/s/8nUpL/BMbUFZJ8I8L4v5p9v6T0NDQYEHn/+NV+Qbmc14durq6/2kT2sU/sc1kMF4lAoGABZ2vkJf9PVxH4eM/2xn8w3rLDAaDwWAwGAwGg8F4pbDAk8FgMBgMBoPBYDAYrxQWeDIYDAaDwWAwGAwG45XCAk8Gg8FgMBgMBoPBYLxSWODJYDAYDAaDwWAwGIxXCgs8GQwGg8FgMBgMBoPxSmGBJ4PBYDAYDAaDwWAwXiks8GQwGAwGg8FgMBgMxiuFBZ4MBoPBYDAYDAaDwXilsMCTwWAwGAwGg8FgMBivFBZ4MhgMBoPBYDAYDAbjlcICTwaDwWAwGIxXCBGBiP7TZjAYDMZ/FOG6dev+tg+LjIxct2DBgr/t814V6enpmD59OrKyslBeXg49PT2YmZlBIBCopVtaWoq6ujro6enxZOkLLl26hJ07d6K6uhrm5uYwMDDgRTcpKQmJiYkwMTGBqakpL5oAIJPJ1M5LVTQ0NEAoFPKu++mnn2Lnzp14/PgxGhoaYGFhAW1tbbV1nz9/Dj09Pd7zYsuWLcjOzoaenh4sLCx40//1118hkUhgY2PDWz43NDRg6tSpiI2NRUFBAQDA0tISmpqaautu3LgR5eXlsLCw4K1ONDQ04Pz587CxsYGOjg4vmgBQUlKC8PBwZGdno7q6GiYmJjA0NFRbt7i4GFu3bgUAWFtbq52vcrKzszFlyhRkZmairKwMurq6vPjIu3fv4ocffkBtbS0sLCx485W3b9/GyZMnoa+vD0tLS97qRHx8PHbs2IGqqiqYmJjAyMiIF93U1FTcvn0bVlZWvLYXDx48AADo6+vzpgkA//73v3HlyhVoaWnBysoKGhr8jHl/9913OHXqFCQSCczMzHirx6/K906bNg2RkZHIyspCaWkpdHR01K4XUqkUU6ZMwZEjR5CXl4fa2lqYmZmpXS7q6uowbtw4nDp1Co8fP0Z9fT3Mzc3V9mtEhJycHF78QVNqa2vx73//G8bGxjA1NeVNu7y8HD/++CMEAgGvPrKmpgZisZj3/l5paSkeP37Mqx8DXl2/rKCgAGKxmDffKCc1NRWXL1/mvX8aFxeHS5cuQV9fn9f+0549exAVFYWysjLo6enB3NycF+36+vpX0u9tC+vXr3+2bt26SKU35KNwHU0AhAAyAJx62bmDBg2i/xVmzZpFALhkZmZGAQEBtHLlSoqOjqZHjx6RTCZrl2ZlZSXZ2NiQm5sbffzxx5SYmEj19fVq21pfX0+9e/fmbO3WrRtNnz6dtm7dSjdu3OjwZ5SVlZGlpSUBoM6dO9O0adNo27ZtdOfOHZJKpR229+rVq+Th4UGfffYZ3bp1q9352BKxsbHk6upKa9eupatXr6plY1OKiorIzMyMy1+BQEC9evWimTNn0tatWyk1NZUkEkm7dffs2UMODg60YMECOnLkCFVUVPBib0JCAmerubk5hYaG0saNG+nSpUtUXV3dYd2ff/6ZAJCenh75+vrSJ598QvHx8SQWi9WyNy4uTqGuaWlpkYuLCy1YsIAiIyMpPT2d6urq2q371VdfcZpvvPEGzZ49m3bt2kXZ2dlqlY1Zs2aRUCgkNzc3WrlyJcXGxqqdB0RE69evV8iHLl260KRJk+irr76iixcvkkgk6pDu5MmTCQBpa2uTp6cnLV++nI4fP04lJSVq2fv2228r2Gtqakr+/v60YsUKOnz4MOXl5bW7bstkMho+fDin2aNHD5o7dy7t3r2bsrKyOnzf6urqyMnJiQCQhYUFjR07lr755hu6evVqh8pWU90ePXoo3LOwsDDavHkzpaamUm1tbYd0i4qKyNjYmAQCAfXv35/ee+89Onz4MBUWFnbYViKi27dvk1AoJBcXF1q+fDnFxsaq5RPk5OXlka6uLgEgQ0NDCggIoLVr11JsbKxafu3hw4eko6PD5W/Xrl1p6tSpXP7W1NR0SHfHjh3UtWtXeuutt+jYsWNUWVnZYRub8uDBAy4f5MnIyIiGDx9O//rXv2jv3r2UmZlJDQ0N7dK9du0aCQQCBV1HR0eaPHkyffnllxQXF0dlZWXttvf8+fMKmgDIycmJpk2bRps2baJLly51KG/Cw8OpS5cuFBERQQcPHqTnz5+3W0MVc+fO5fojb775JkVGRtKff/6pdh9ixowZBIB0dHRo2LBhtGrVKjp9+jSVl5d3WLOxsZH69etHHh4etG7dOkpJSWn3fVdFfX09OTk5kb29Pc2YMYP27t1LT58+VVu3tLSUvLy8aNWqVZScnEyNjY1qa8p1TU1NqVevXrR48WI6ceIEL/WtsrKSrK2tufIwffp02rZtG2VmZqrVvpeUlJCpqSkBIEtLSxozZgx9/fXXlJKS0mF/TvSiP21lZaXQNwsODqa1a9fS6dOnO9weHz16lAYPHkyffPIJXbt2jbd+b1sAcJNUxIICUnPph0AgeB+AKwBjIhrV2rmurq508+ZNtT7v70Qmk6GsrAxFRUUoLCxU2P7xxx84efJkq9dbWlrC3d0dn3zyCVxdXdv0mZs3b8b777/PHRsaGsLX1xeBgYEIDAyEs7Nzq6MgMpkMFRUVKC0tVUjnzp3Dv//9b5XX6OrqwtXVFR4eHnB3d8fQoUNhbW2tdB4RoaamBpWVlVzasWMHoqKilM41MzODl5cXhg4dimHDhmHQoEHtGikNDg5GbGwsAKBTp04IDQ1FaGgo/P39OzwaT0QYOnQoUlJSAABWVlYIDg5GaGgoRowYATMzs1avb2hoQHFxMYqKipTSmTNncO/evRav1dTURJ8+fRAUFIRVq1bBxMTkpfY2Njaib9+++PPPPwEAQqEQHh4eCAoKQnBwMFxcXF46cyCTySASiVBeXo6ysjJuu2rVKuTm5qq0c8CAAfD09ORS586dVWoTEerq6iASiVBZWYmKigqMHTsWz549U9J0dXXFsGHDMHz4cHh5eanM6+rqaoU61nT/t99+Q1VVVYvfU0dHB/3798ecOXMwf/58pRE+IkJVVRXKy8tRXl6OiooKFBUVYfbs2aitrVXSMzc3576/l5cXBg8e/NKRaSJCfX097t27h0GDBqGxsZF7T0tLC25ubvD19YWvry88PDygq6urUqe2thbFxcUoLi5GSUkJt//kyRNudlIVAoEAPXv2xODBgzFlyhSEhISotFEsFqOiooJLt2/fxnvvvadSs0ePHlw99vLyQvfu3RX8DxGhvLxc5T27f/8+jh492mqeWVhYwM3NDR9//DE8PDyUbK2pqUFZWZlCunLlCrZs2aJSz9TUFB4eHvDw8ICnpyeGDBmiciSdiCCRSLhyW1lZiSNHjuDbb79VOldPTw9ubm4YNmwYhg4dCg8PD5WaUqkUZWVlCn73+fPnOHv2LKKjo1Xaq62tDRcXF7i7u8Pd3R3Dhw+HnZ2dynOlUinEYjFEIhFEIhG+/fZb/PLLL0rnOTs7Y/jw4Vzq0qWLSr2WmD17Nvbu3atgo6enJwICAhAQEIBBgwa1OutDRKiurlbwOeXl5di8eTOuXLmidL5AIECfPn24uubp6QlHR0eldk4ikeD58+dKaffu3cjMzFRpi5aWFgYMGAB3d3e4ublhzJgxbZpZaWhoQM+ePZGTkwPghQ/z9PTkfO+AAQNa9L3yOlFQUIBnz54pbAsKCnDx4kWUlZW1+vmGhob46KOPsGzZMm71jNyHFRYWorCwEM+ePeP2CwsLERMTg4qKilZ1HR0dsXjxYrz77rvcPSQiiEQiJT35cXR0NCQSSau6zs7OWLZsGSIiIto0m52XlwdnZ2c0NDQAeFEGXFxcEBgYiBEjRsDT07PN/YXGxkZUVVWhqqoK9+/fR1BQEGQymcI5tra2XH3w9vZGr169Wr1/tbW1nF+oqKhAdnY2IiIilM6Vl92hQ4dyqT31LSYmBuPHj+eOTU1N4e/vj6CgIAQFBbW77so5evQoJk6cqPCas7Mz/P39ERAQAB8fn5f2d1Tx8ccfY+PGjQBe+O6RI0di1KhRGDFihFqzil9//TVWrFjBHQuFQri5uXE+x83N7aWryOT3rWn/dPfu3di1a5fSuebm5kr905b0pVIpVw4qKipQXl6OHTt2qPTpOjo6GDJkCKft6emplM9y/1hSUoKSkhI8f/6c2z969ChSU1Nb/I6Ojo5wc3ODm5sbpk+fDisrq1bzBHjRBxw0aBBu3boF4EW/NyQkBCNHjmxTv1cdBAJBGhEpBT9qBZ4CgaATgL0ANgJ4/58eeB44cAD79+/nOk/FxcUKncf24ODggPnz52Pu3Lm4dOkSTp06hbq6OtTX16Ouro5LzY8lEglKS0tb1O3cuTPnnPPy8pCcnKzQ0SkvL1dyum3F3d0dc+fORVFREW7evKlQgeWpI/mhpaWFiRMnwtHREQUFBZDJZAqjH82PiQi5ublIS0tT0tLV1YWvry9GjRqF0NBQODg4YMOGDcjNzYVMJoNMJoNUKuX2m6ecnBz88ccfSrpCoRCenp4IDQ3FyJEj0adPH8ybNw+5ublch/plnYXWGDZsGBYuXIiJEydi2bJlqKioQENDA5fq6+sVjuWpoKCgxc+1tLREYGAggoOD4e3tjZUrVyoFmBUVFR0uDz4+PggLC8Ply5dRXV2NyspKrtMrT/KOQ3swNjbGkiVLcOfOHZSUlHD1rbq6ukN26urqIiwsDAsXLoSlpSXWrFnDdXabBpodyQeBQMB1BNLT01FdXc0liUSidCyVStukq6OjA09PT/j6+iItLY0LLouLi1sNsFtDU1MT48aNw4IFC0BEiIyMVAgw5amtNjZFQ0MDQUFBcHNzw/Xr1xV8ZEfKAADY29tj3rx5iIiIQFJSEg4dOqQUZNbV1XVIu1OnTpg1axYMDAxw48YNhU6kOr5MKBQiNDQUvXr1QmZmJhdclpaWoqKiosO/4fPx8cHcuXPx6NEjZGRkKNSxqqoqiEQiiMXiDmmHhYWhc+fOePLkCWpra1FTU6NyK9+vqalp9XsYGxvD19cX/v7+yMzMRH5+vlKQ2dEy0adPH8yePRvp6elcp0yeampqOqRpYmKCN998ExEREdi5cyfEYrFKX9s8PX36FOXl5So1ra2tMWLECAQFBcHd3R0rV65UCDI7Wm5tbGwwb948LFiwAFpaWli0aJFCENjRPDAyMsKMGTOwcOFCGBgY4IMPPlAIMlUNvrUFU1NTzJ49GwsXLoSWlhbWrVun0J9pqZ9TV1eHkpKSFn2yvr4+hg8fjsDAQHTu3BlHjhzhgkt5kteNjtgu75/dunVLIaiQ+4f6+voO5cfQoUMxevRoZGZmcm16fX19i/t1dXUqB4Dl9OjRgytn1dXVOHr0qEI9bZqavl5bW9tqHdbQ0ICLiwsCAgJgYWGBrKwsAMorIJu/VlFRgbNnzyrpaWpqYtiwYRg1ahRGjRoFJycn/PLLLzh//jznW5r7muY+qDWfYWBgAG9vbwQEBKC0tBRZWVkq+6cd8TtCoRATJkxAp06dkJOTwwWX8vLQ0fbYzMwM06ZNg1QqRV5enkKg2dH6ZmZmhvDwcERERODgwYPIz89X6vOq2n/w4AEePnyo8rt7enpi5MiRGDlyJPr27cvrcuqWAk91l9lGAxgEwAf/A0ttP/vsM6VlJc2TpqYmvfbaazRo0CASCoUK72loaNDYsWPpzJkzCssQPvzww5fqtjVpaGiQn58fbdu2jaZPn97m6zQ1NVW+bm1tTR988AFlZWVx9k6aNIkXW93c3Oinn37iltEEBgbylg/yNGPGDBowYACvmtra2rRw4ULq2rXrS8/V09Ojbt260euvv670npmZGS1ZskQhb4mIW57MV3nw9vam77//Xqk8diR17dqV1q1bR7m5uUREJBKJeLFTKBRSSEgIHThwgMRiMT1+/LhN11lYWFCvXr3I1tZW6b2ePXvSli1bqLS0lMvb27dv82Kvk5MTbdy4kf766y8iIrp8+TJv98zBwYFWrFhBGRkZdOzYsTZdo6urS126dCE9PT2l99544w36+uuvqaioiMuHqKgoXmzt06cPffPNN1RQUEBERJs3b37pNZqammRvb08uLi6kpaWl8J5AIKCQkBCKiYlRWFb2ySefqG2rjo4OTZ06lWJjYzn/u2TJEl7ywcXFhbZs2cItZZ05c2abr9XW1lb5eqdOnejjjz+mhw8fcvkwduxYXux1dHSktWvX0r1794iIyNvbm7fy27VrV/rwww/p5s2b1K9fP7X1zM3N6b333qO0tDRuSWTnzp3bdK1QKCRDQ0OV7/n6+tL+/fsVfuZgbGzMWz5oaGiQj48Pbdmy5aXn6uvrU/fu3Wn48OEKP3uRJ29vbzp48KDCsu6SkpI2fX95XXNwcFBZbiMjI6mqqorTffDgwUt1m/Zz7O3tld53d3enqKgohby9efMmb3kLvFhGv2bNGtq5cycvekKhkEJDQ7k26PDhw7zoOjo60rp167h6vGvXLl7zwcHBgd5//31avHgxb5pmZmYUERFBsbGxtHLlSl7tBUDDhg2jKVOm8KZnampKc+bMobNnz/KmO2jQIAWfHhwczEsZGz16NB0+fJhbduvm5tama3V0dMjCwkLle35+fnTgwAGFnw707NmT13umr69PixcvVmv5eHPQwlLbDv9KWiAQjAJQTERpAoHAp5XzFgBYAKDDywb+Lvr06YPg4GDY2trCxsZGaWtjYwMzMzNoaGjgzp076N+/P4AXo+vz589HREQEXnvtNSXdbt26cUtHdHR0oK2tze03f628vByRkYq/xRUKhfDz88PkyZMxbtw4bnpdJpOhtLQUFhYWL00pKSkIDg7m9EaNGoW5c+ciJCQEWlpaCp83YMAAVFRUwMTE5KUpJSUFS5Ys4a51cHDAjBkzEB4eDmdnZwVdZ2dnVFRUQCAQcElDQ0PhWP6afDlzc7S0tODr64sxY8Zg9OjR6NKlC+bMmQNtbW1oaGhwSSgUKhzL0+PHj5Gdna2ka2pqitDQUIwdOxbBwcEwMjLCW2+9heLiYu7eq0qGhoYQCARYunQpt/zPy8sLCxcuxKRJk1Quzxw8eDAqKyuhpaWllLS1tRWOU1JScOfOHaU88Pf3x4QJEzB27FhuWXRsbCyEQiHMzMxg5PQJJwAAIABJREFUbm4OMzMzhf2m20WLFuHQoUMAXowuT548GbNnz8bw4cMVliAZGBjAy8sLRkZGMDY2homJCYyNjZWS/PVly5YhOTmZu97V1RXh4eGYOnUqbGxsuNc1NTXh7e0NW1tblfXM1tYW1tbW0NLSAhGhf//+KCwshLa2NiZNmoSFCxdi2LBhSqNzVlZWGD58OPfdTU1Nuf3mx6ampvD19cX9+/cBvJgZmTp1KmbNmgV3d3cFbSsrK3h6esLAwEBl0tfXV9h/9913FWZLrK2tERYWhmnTpsHDw4PTFggECAgIgLW1NaysrGBtba0yGRgYQCwWc8sw5fkwf/58eHt7K+VD165d4evrC1NTU5VJ/v3ly6MGDx7MzdJYWVlh+vTpmDVrFgYMGKCg3bNnTwQFBbXqI83NzaGhoYEHDx7AyckJwIulbhEREZg3bx66du2qVCd69uyJwMBAhTLaUiosLISLiwt37ZAhQzBnzhxMnTpVablXr1694OfnB1NTU+4hE6q2JiYmyMnJQVhYGHetvb09wsPDMWPGDPTp00dB18XFBcXFxQo+1tLSUsnvWlpa4sKFCxg9ejSAF3V33LhxmDt3LgIDA5WWhA8YMABisVipfsnrX9OUlJSEjz/+mLvWwsICU6ZMQXh4uFL57d+/P4gIurq60NPTU9o23b9x4wbnG+R06dIFYWFhCAsLg6urK6c9dOhQvPbaawr+piX/s3PnTmzYsAHAizYoJCQEs2fPxqhRo5SWVfr7+6OsrAyWlpZKycrKituX+xy577W3t8fs2bMxd+5cvP7660rlzM3NDdXV1Sp9b/OUnJyMu3fvKlyvpaWFwMBATJgwAWPGjOHa4oSEBBgYGMDOzg729vbcVr5vZGTE5VlQUBCysrJgbGyMmTNn4q233kLv3r2VbDU3N4efnx+sra05P2lnZ8ft29rawtLSkvPX7u7uePz4MfT09DB9+nS89dZbKn/iY2trC19f3xY1bW1tYWFhAQ0NDRARevToAeDF8t/w8HAsXLgQAwYMUNI1NTWFu7t7i32c5mnbtm1Kq7t69+6NSZMmYfLkyejVqxcEAgHu3r2LoUOHcnXAyMhIITV9TV9fH5MmTVLwvR4eHnjzzTcRFhamsDSxc+fO8Pb25vyg3B803zc1NYWWlhY8PDy4VTkmJiYICwvDzJkz4eXlpVDX7Ozs4O7uDm1tba49b2kfAH766SelvHRycsLEiRMxceJEuLi4QCAQ4PDhw0hLS+Pqa/P62zTV1NRg7dq1CpomJiYYN24cpkyZAn9/f25paW5urkKdbt4fa/pabW2typVoANCvXz+MGTMGY8aMwaBBg/DDDz8gPz8furq6Cv6maZK/VlBQgB9//FHJ3vHjxyMsLEzB3tu3b+P58+dt6p9ev34dixYt4jQ7derE+fRevXopfJ6rqytkMtlL20tTU1OcO3cOS5cu5a4dOHAgZs6cienTpyv9TG3YsGGwsrJSSHI/1vTY0NAQ33zzDbfk2NbWFnPmzMHcuXPRvXt3lfltZGTE9XWb9nmb77e00s/a2hqjR4/GuHHj4O/vz/uDrlpEVTTalgTgCwBPATwCUAhAAmB/a9f8t894toelS5dSaGgonTx5krcfWRP93+yopqYmBQcH0549e3j54f3YsWOpZ8+e9M0339CzZ894sPQFAQEBZGxsTBEREXTp0iXefrgcFhamMNr15ptv0qFDh9T+0bmfnx+n6+DgQIsXL6aEhAS1HuJUW1tL3bt3p8WLF9Pdu3fVsq8pdXV13Mi/np4ejR8/nvbt26f2iFRhYSFpa2uTt7c3/fLLLx1+KE1z8vLySENDgxwcHGj16tWUnZ3Ni+7169fJycmJNm3apPYDb5py8eJF0tDQoODgYPr999879AAoVZw7d44AkImJCc2dO5fi4uJ4eWhEZGQk9erVizZv3szbwziIXsxiamtr08SJE+nEiRO8PNCMiGjVqlU0YsQIOnLkCG+aRESLFi0iGxsb+uCDD3itb7NmzSJ9fX0KDw+n8+fP8+bXQ0JCqG/fvrRlyxZey6+Pjw/p6upSWFgYnThxQq2HIDXFy8uLgBczsu+//z5dvXpV7YezNDQ0UJcuXahPnz60adMm3togiURCVlZWNG7cODp16hQv9YzohU+3s7PjZgImTpxIv/32m9oPeHv8+DG5uLjQzp07FWYh1eXu3bvUu3dv2rp1K68zFleuXKEBAwbQjh07eGsniBRnR/v27UsbNmzgpb04evQoASBnZ2fasGGDwmoCdYiMjORmTA8ePMhbWyF/IJ88H9atW0eZmZlq17eNGzcS8OLBVeHh4XTixAm1Hnwj59tvv+Xs1dLSosDAQNq6dSs9evRILd2FCxdybebMmTPp1KlTvPizkJAQMjQ0pNmzZ1NCQgJv/VM3NzeytbWlZcuW0Z07d3jRlEql5OzsTKNHj6bjx4/z5stkMhkNGTKEu29vvPEGLV++nJKSkniNXVSBFmY81X6q7Qvt/42ltu2hI0+IexnV1dU0ffp0ioqK4lVfKpXS9evXeXs6rByxWMxrh11OVlYWde/enZYuXUoXL17krdOakpJCAwcOpPXr1/P6tFyxWMzLkx+bc/ToUZo+fTpFR0fz8lRUOffv3+etQW5KUlISJSYm8v7UtLKyMt7LLtGLpyfn5+fzrrtz506KiYnhpaFvytOnT19JPpw9e1ZhuTJfvApNohfLnvkMZIle+Mjff/+d1861XDc9PZ33+1ZRUUE///wzb0+6lnP//n1asmQJJScn81qPi4qK6ObNm7znQ0lJidpP8lXFwYMHKTw8nI4ePcqrb6+trX0ldbiqquqV6IpEolei+9lnn9Fnn31Gf/75J6+6v//+O924cYN3m8+ePct7OZNKpTRjxgz64osv6P79+7zqLl26lI4dO9bhpzqrorq6mnr16kXh4eG8TALIEYlENH/+fDp58iSvbaZEIuGWVfNJZWUlnTlzhrfAUI5YLObl6cPNiYuLIzc3N/riiy8oOzv7ldTnlmgp8FT7qbYA8P+W2n5A//CHCzH+O6ipqYGuri7v/xlVX1/Py/9r/l0Q0Sv53ywGg8FgtAzzvQyGIrW1tdDU1OTtf0wZfw8NDQ1KP6f7u2jp4UK8lCAiugTgEh9aDMarWmf+Two6AbCOD4PBYPwHYL6XwVCkpb//Yvx3858KOlvj5X+4xGAwGAwGg8FgMBgMhhqwwJPBYDAYDAaDwWAwGK8UFngyGAwGg8FgMBgMBuOVwgJPBoPBYDAYDAaDwWC8UljgyWAwGAwGg8FgMBiMVwoLPBkMBoPBYDAYDAaD8UphgSeDwWAwGAwGg8FgMF4pLPBkMBgMBoPBYDAYDMYrhQWeDAaDwWAwGAwGg8F4pbDAk8FgMBgMBoPBYDAYrxQWeDIYDAaDwWAwGAwG45XCAk8Gg8FgMBgMBodMJgMR/afNYDD+f0FDQ8N/2oS/DeG6dev+tg+LjIxct2DBgr/t814VT58+xeXLl2FrawtdXV3edCUSCQQCATQ0+B0PuH//Pu7duwdbW1sIhULedOPj43Hw4EEQEaytraGlpcWLblpaGp4+fQobGxte86KhoYHX7y9n7dq12LRpE+7fv4/q6moYGxvD0NBQbd3nz59DT08PAoGAByv/j2vXrsHAwAB6enq86jY2NvJedgHg8uXLsLCwgI6ODq+6lZWVvNZfAKivr8e+fftgYGAAc3Nz3u5dfX09bt++DRsbG17Lw+PHjxEaGoobN26gsLAQQqEQlpaWat/H58+fIy0tDXZ2drzWuadPn+LmzZuwtbXlzd8AQGJiIlasWIEnT54AAKysrKCpqam2bnl5OTQ0NHjRakpcXByOHz8OoVAIa2tr3vJ4165d2LRpE548eQKZTAYrKyte8jk9PR01NTUwMzPjwcr/IysrCzo6OrzX4w8++AD79+/H06dPAQCWlpa83EOJRMJruQUAqVSKN998EzExMdx9s7S0VPtzGhoaEBgYiH//+9/4448/UFFRAX19fZiYmKjlg+rq6rB48WLk5ORAKBTCysqKl/IrkUiwYcMGiMViWFpaQl9fX21NACguLsa0adOQnZ0NiUQCMzMzGBgYqK1bXl6OS5cuwdbWlte2raKiAsXFxTAxMeFNE3jRVqSnp/Puey9evIi1a9fi2bNnvJaHlJQUnDt3DgYGBrCwsOCt3ZRIJNDU1OS9X/bdd99hwYIFuHr1Kh4/foz6+nqYmZmp7dt27NiBmJgY1NbWwsLCgvd+X2usX7/+2bp16yKV3iCivy0NGjSI/hdobGykAQMGkIaGBrm6utLy5cvpzJkzJBKJ1NItLy8nR0dHmjJlCu3du5eKiop4sVckEpGVlRUZGBhQSEgIffPNN5SWlkaNjY1q6VZXV1Pnzp0JAGlpaZGbmxu9//77dPToUbVsf/ToEeno6JCxsTGNGjWKvvvuO8rIyCCpVKqWvQkJCTR48GBav349paWlkUwmU0tPTllZGVlZWREALnXq1InGjRtHGzdupNjYWCotLW237q+//koODg60cOFCiomJoaqqKl7s3bt3L2loaNDgwYNp1apVFB8fTzU1NWrrfvrppxQaGko7duygJ0+e8GDpC9avX09CoZA8PT1pzZo1dPnyZaqrq1Nbd+7cueTp6UmfffYZpaWlqV2+5Lz33nsEgOzt7Wn69Om0c+dOunfvntrlLTQ0lCwtLWnKlCm0e/duevz4MS/2rl+/XqHs6urqkoeHBy1evJj27dtHf/zxR7vzRiqVkouLCxkYGFBwcDB98803lJ6ernYeNzQ0UI8ePUhHR4d8fHxow4YNlJSURPX19WrpymQy8vX15fJAS0uLXF1dadGiRbRv3z66f/9+h+5ffn4+WVpa0qhRo+inn36i3NxcteyUIxKJyNbWlgCQnp4e+fj40Mcff0znzp2jysrKDutWV1eTg4MDlw9CoZAGDhxICxcupJ9//pnu3r3boXYjLS2NAFDXrl0pIiKCDhw4QIWFhR22U865c+dIKBSSh4cHrV27lq5cuaJ2WSAiysnJIV1dXaXy8M4771BUVBRlZ2d3qCx//fXXNGTIEFq/fj3dvHmTN59z9epVEggECvdtwIABNH/+fIqMjKSMjIwO5UtSUpKCbwBA5ubmFBgYSCtXrqRDhw5RTk5Ou+vG1q1bOT09PT0aPnw4rVixgo4fP07FxcXttlPOihUrON2ePXvS/Pnz6ddff6Xc3Fy1/O8nn3yikAfdunWjqVOn0ubNmyklJaVD7adMJiNvb2/S1NQkDw8PWr16NSUkJJBEIumwnUQvfKSTkxM5OzvTe++9RydPnuSl71BXV0fdu3dX8r3qtsVSqZS8vLwU2h8vLy9atmwZHT58mP76668O3buqqiqyt7cnAGRlZUUTJkygLVu2qN33vXPnDjk6OtK7775LZ86cUft+yamvr6e+ffsq1bfu3btTWFgYffHFFxQbG0slJSXt0n3y5AkZGBhwes7OzjRnzhyKjIykzMxM3nyQKgDcJBWxoID+xqUUrq6udPPmzb/t8/imvr4e1dXVqK6uxsmTJ/HOO+8ovC8UCjF48GD4+vrC19cXXl5e7R51+/zzz7F69WoAgEAggKurK0aOHImRI0fC1dW1XTMRRITa2lpIJBL88MMP2LBhg8L7ZmZm8PHxgZ+fH/z8/NCzZ88WR3EaGxtRUVGhkMrLy3H48GEcPnxY5TXdu3eHl5cXhg4dCi8vL/To0aPVUaLGxkZIJBJUV1dj1apV2Lt3r8L7FhYW8PHxga+vL/z8/F6qpyo/hg8fjqSkJACAvb09Ro0ahVGjRsHf37/VeyWTyVBeXo6ioiKV6dKlS8jNzW318x0dHTF+/HisWbOmTaORUqkUffv2xR9//AEA0NbWxrBhwxASEoKQkJBW71dLEBHq6urg4uLC6QKArq4uhg4dioCAAAQEBGDAgAHtHnUsLS1F165dIRaLAQADBw7E6NGjMWrUKAwaNKhDs2hEhNLSUvTo0QOlpaXc6/r6+hg+fDgCAgLg7++Pfv36tVs/NzcXzs7OaGxsBADY2toiJCQEI0eORGBgYJtHjIkINTU1EIvFEIvFePz4MUaMGMHpyrGzs4OPjw+X3njjjXbdv8zMTPTv319h+ZuTkxNGjBiBwMBA+Pj4wNjYWOW1dXV1XFktLi5WKLtPnjzB0aNHW/1sY2NjDB48GB999BH8/PxaPVfud86cOYNJkyYpvGdhYQFfX1/4+/vD398f3bt3b1MeNPVlhw4dUvK9BgYGGDZsGOfLWiq/UqkUZWVleP78OZ4/f46SkhJu//r16zh+/HiLNlhYWGDIkCFwc3NDWFgYevbs+VK7AWD58uXYtGkTd+zk5ISQkBAEBwfD29v7pSPQUqkUIpEIlZWVCv73t99+Q3R0tNL5Ghoa6NevH4YOHcql1157TeGcmpoalJSUqEzx8fForZ02MjKCq6srPDw8sHjxYtjY2LRqv0wmQ01NDcLDwxETE6PwXp8+fbiy4O3t3WL5bQkiQkBAAC5cuKBgn4+PDwIDAxEYGAhnZ2eVZYyIIBKJUFJSguLiYhQXFyvsx8TE4K+//nppPgQGBmLJkiVtauvFYjEcHR1RUlIC4IXPGTlyJEJDQxEYGAgjI6MWr5WXXbl98ros34+OjkZFRUWL1+vq6mLgwIGYOnUq3nnnHW4Gt6amBoWFhSgsLMSzZ8+UthcuXEBNTU2r38vGxgaffvopIiIiFPxwY2MjysvLUVpairKyMi4VFxdj9erVqK+vV6n3+uuvw9PTEx4eHvD09ES/fv0U7qHcHzStE5WVlXjy5AkWLlwImUympGlvb69QJ/r166fgI2QyGSoqKjif0HT75MkTbN++vcXvr6Wlhf79+8PNzQ3jx4+Hv79/i+fK22CJRILExESMHz9e4X0dHR14enpyvmzw4MHtnmE8dOgQpkyZomCfp6cnRowYgREjRsDFxaXN7aVMJuN874EDB7BkyRKF9w0MDDB06FDO3oEDB6r0vfI+lNzflpaWcvupqalKvqEp9vb2cHd35/L3jTfeUDqnrq4OIpGI85UikQj79u3Dzz//rHSukZERvLy8MGzYMAwfPhyDBw9u16zz1KlTcfDgQQCAnp4e/Pz8EBoaitDQUHTp0qXF6xoaGlBUVISCggI8e/aM28r3MzMzuVU3rTF37lx8+eWXsLKy4l6TyWQQiUQoKytTqG+lpaXYu3dviz7d2NgY7u7u8PDwgIeHB7y8vHhZsQcAAoEgjYhclV5ngef/ceDAAezdu5cLLpun5h3Jl6GlpQVvb28MHToUGRkZkEqlkMlkkEqlCvtNt9XV1cjMzFSpZ2VlheDgYIwcORIjRozAr7/+irNnz0IikahMNTU17fqNho2NDUaMGAETExPcvn2bCy4rKiq4YKIjdO7cGTNnzkR5eTnu37/PBZdNtxKJpMVGqCVsbW0xevRoaGtro6CggPuuTb9z89dyc3ORlZWlpKWrqwt/f38uEO3UqRMmT56MnJwcroFv7/2XIxAIMHLkSCxYsAAjR47EnDlzUFFRAalUisbGxla3+fn5KCsrU6nbpUsXLgj19fVFeHg4amtrUVNTg9raWi41Pa6pqVHZKDfH3NycC/DPnz/PNVLNy1Pz46tXr6KoqEhJz9bWFqGhoRg9ejQCAgIgEomwYMECzraamhqFffm2rq6uTXlsaWkJPz8/uLu749KlS5DJZAp1rXmdk6fs7GyVnSqhUAgvLy9u0KehoQGrV6/mgkuxWIzq6mpuvyN+tFu3bpg3bx5SUlJQV1fHpdraWoXjpq9LpdIW9YRCIdzd3REYGAh9fX2cOHGCK7uVlZXttk+Ora0tIiIiEBERgVu3biEyMpK7Xy2lttKlSxf4+fmhS5cuuHbtGucLmvoFeWoPpqam8PPzg6OjI1JTU7kOTllZWYd/t6arq4tJkyZh3rx5yMjIwIULF9DY2NhiktdjkUjELdlUpenj48MFolFRUUhOTlYIMEUiUYfsBQBra2u8+eabKC0txZ9//skFVtXV1R3WdHBwQEREBObMmYMvvvgCDx48aLUstNWvywdug4KCcP/+fZSVlamsD82PX6bfqVMnBAYG4v9j77zDoyrWP/492c2m9x5CSIAQQkkILaT3Te+90UIRuQgiQUBBuAIizYuCFBWkyFUUpRepQmgKWEAFkSoIpIcU0nbf3x959tzd7AZC9nDv9f7m8zzvc+a0d9/MmXln5sx7JuHh4diwYQM/8CktLX3mNkcZf39/jB07FmlpaSgoKAAR8X5HWdoe//XXX/mBpzK6uroIDAzkO7AmJiYYPny4yqC4I75bE7q6ukhOTsa4cePg5OSECRMm8ANLbXxDt27dMG7cOIwePRqlpaWYOnWqygBT27JbUFAAb29vfPzxx2qDzM4+O47jEBERAX9/fxw7dowfXJaXlz/Rvz4JkUiE2NhYjBkzBhzH4f3331fxXW392bP4ICMjIwQFBcHPzw9nz55FU1MTL4ry3/ZYY2PjE/tsVlZWiIiIgFQqRWVlJQ4dOqRmo2L/Wfw5AJiZmSEsLAyurq44d+4cP8isqKjodPmVSCRISUlBYWEhzp49i6NHj6oMMB89etThvkJbxGIxUlNT4eTkhOvXr2uss23r8sOHD3HlyhWN+vr168e/TPLz88O4ceNw8eJF/PnnnygrK+t0+2NhYYGRI0fihRdeQK9evTB8+HBcu3ZNpb5p4x8SEhIwevRoREVFCfZpSHsDTxZqq8TChQvVprk7IyKRiKRSKW3YsIGqqqpo+vTpguhViL6+PqWkpFB6erog+jiOo+DgYFq9ejWVlJRQRkaG1joNDQ1p+PDhdOTIEX4qPzIyUhB79fT0KDU1lbZt20Z1dXU0ZMgQQfOX4zgaN24cubq6PvU529vbk5eXF/Xr10/tvKOjI82ZM0ctJNLa2lpQe728vGjhwoUkEokE+/tDQkLo/fffp+vXrwtqKwAyMTGh2bNnC6ZPT0+PkpOTaevWrXT27FnB7R0yZAi99tprguVteHg4rV+/niorK2nnzp2C2SkSiSgyMpLWrVunEsrWnhgZGVH37t3J19eXDA0N1eyMjo6mr776SiVEb8WKFYLZ6+LiQtOnT6cLFy7Q3LlzBdM7bNgw+sc//kH37t2jKVOmdOgeU1NTcnFx0Xhu4MCB9P7771NlZSWfDyNHjhS0jLm6utLUqVMpIiJCa116enqUmZlJe/bs4Z9dUFDQU+/T1dUlR0dH6t69u8ZzGRkZ9PXXX6uEZnl5eQny9yv7nIcPH5Kzs7NgedujRw+aMWMGXbhwgUxNTTtUFnr27KnRBktLS5oyZQr9/PPPfB7I5XJBywIAsrW1pTlz5jz1OuU2yMnJSe18z549afHixSqfvjzNp3McR7a2tuTp6UlRUVFq5YHjOIqPj6e9e/eqhCyeP3++w3+frq4uicViteNisZiSkpJo586dfNk9fPiwIHnap08fevvtt+nu3btERPT555936D5jY2NydXVVCb1WLlsLFy6ke/fu8fnw4YcfClYOvLy86K233qLr16/T0qVLBdOro6NDISEhtHLlSnrppZcE0xsYGEirVq2ihw8f0osvvtihewwNDalLly7t/v3vvvuuyqdKubm5gtg6bNgwWrVqFR+6GhsbK1g+AK399IKCAho0aNATr7O2tubrmlQqVTs/ZMgQWr9+PdXV1an0Iz08PDpkB8dxZGBgoPGcp6cn/eMf/3jm8N2OgnZCbYVd8eAvTu/evZGYmAgjI6N2xdDQEEZGRqisrMSoUaNU7vf390dOTg4yMjJga2vLH3d3d4dUKoWOjg5EIpHaVjldVVWF3bt3q9lmaWmJ+Ph4JCcnQyqVwsjICKtXr0ZTUxMMDQ2fKlevXsUbb7yhonPYsGHIzs5GRkYGHB0dVf4OjuNgbm4OCwsLjVtFev/+/RgxYgR/b0hICEaOHIm0tDS16Xo/Pz8+DxX5qLxVTh87dgwrV67k7xWLxYiMjER2djaSk5NVQrKGDh3Kh0UqwnGUw3KUj92+fVslxFSBgYEBIiMjkZCQgLi4ODg4OKCoqAjl5eWwtbWFnZ2dmlhZWfEzgS+++CIuX74MjuMQExOD8ePHIzY2VuObo7CwMDx69AhisRgikeiJ21OnTqnNgOvo6CAgIADJyclITk6Gq6srgNZFgxR/i76+PvT19VXSyvsfffQRf70ibwIDA5GZmYm0tDTY29sDaA3DioiIUPn9tmFryvvff/+9xrf5VlZWiI2NRUJCAqRSKYgI3333HW+Ppq1yesGCBbh+/TqvTyKRIDo6GpmZmUhISODLw+3btxEZGalWr5RF+diOHTtQWVmpYqtYLEZYWBiSkpKQmJgIJycnXLt2DT/99BOMjIxgbGzcrigWbUpNTVWZqR4yZAhyc3ORlZUFBwcH/rijoyNiYmKgp6enJvr6+ir7YrEYM2fOVHnTLxaLERERgfT0dCQnJ8PKygoA8O233yIjI0OlvCqXY1tbW36BjLt376Jbt24AWsOBFbObLi4uas+xZ8+eiIuLg4GBAQwNDfnnpCyK448fP8bEiRNV7ndyckJmZiaysrIwZMgQvuxcv34dCQkJKj5L2S8oS2lpKSZNmqSid8CAAcjOzkZmZiZfHxT5np2dDWtra1hbW8PGxoZPK4tEIsGhQ4cglUoBtM6Y5ufno7CwEAMGDFDLB09PT0RHR0MsFquIot4qy7179zSGkXl6eiIlJQUpKSl8KOHSpUthaWnJ+1gzMzM+3fbY3r17MX78eF6fv78/hg8fjszMTJibm6v8llQqhbOzM2xsbGBjYwNbW1s+rRBTU1NwHIe3334bM2bMANDaJo4ZMwbDhw9XCetSEBISAhcXF43loK3s27cP27ZtU7nf398fWVlZSE9PV6kX4eHhKCsra7cuKO+VH86lAAAgAElEQVTv3bsXR44cUdHr5uaGjIwMpKenY8CAAXw5y8zMhEwm4/9+W1tblbSNjQ0fcpeVlcWH2oaGhmLs2LFISUlRW+xDMYOmo6OjJorFApXlzJkzGkN4e/fujaSkJCQlJWHo0KHgOA4//fQTb5tyHVbYbWlpybdBQ4YMwd27dyGRSJCamopx48YhJCREzV/b29sjNTUV9vb2cHBwUNsqLygll8vRs2dP/r4xY8ZgzJgxvL9QxsHBAUlJSbCysoKlpaWaKB/X19dH9+7d+bDCfv36YdSoUcjPz1fpOwGtPiMpKUmtPijSyscMDAzg5eWFsrIyAK2RMLm5uRg+fDgGDhyokhdubm5IS0vjfYLyVtlP6Ovro7y8nA9X19PT4yMfgoKC1EJWXV1dER8fr+a3NPmzlpYWjBgxQmWmqlevXsjJyUFWVpZKOH+PHj0QExMDiUQCPT09SCSSdtP19fVYtGiRil0ikQhhYWF8W6HI561btyIhIUFjP6zt/v3799VCbQcPHsz3e7t27cof9/HxQUVFBZ+PVlZWan5XsdjNvn37EBcXB6B1xjQ3NxeFhYVqzwxo7bc2NTXB1NQUpqamMDMzazd98uRJvPDCC/y93bt3R0FBAfLy8tTCdQcOHIiWlhaNdbZtXb5z5w7Onj2LtlhbWyM+Ph5JSUmIjIyEkZERFi5cCC8vLzg6OsLBwUFla2dnB4lEwt//+uuv4+uvv4aBgQFycnIwYcIEDB6sPmEIALGxsRg4cKBa3Wq7b2Zmhtdeew1vv/02gNaxRG5uLkaNGgVvb2/BF0nqEJpGo89L/ttnPJ+FoqIiAkDe3t60ePFiwRb6UJ5ZcXFxoSlTptCxY8eoublZK71ZWVkEgAYMGECLFi0SbJELf39/6tmzJ/3973+nmzdvCqJTLpfT4MGD+bfga9euFeyNTEhICJ+/Dg4ONG7cONq9e7dWH4jX1dVRnz59aPbs2XTr1i1B7CQiamho4N8E6unpUXx8PH344YdaLzpVVlZGhoaGxHEcBQYG0rvvvqvyxrazVFZWkpmZGZ+/vXv3pqKiIjp58qRWH/P//PPPBLS+JY+Li6ONGzeqzD51lsuXL/O2GhsbU2ZmJm3dulVr3V999RUBoF69etG8efPot99+09pWIqLPPvuMz4fY2Fhav359pxatasv8+fMpJiaGduzYobWfUebNN9/k69lLL71ExcXFgixk8PLLL/Pla+7cufTrr78KYC1Reno6hYWF0SeffCLYghFE/5od5TiO/Pz8aMmSJfT7779rrXfo0KHk4uJCc+bMoWvXrglgaetCH/3796cRI0bQyZMnBVuAraWlhXr27EkAyMfHh5YvX0537tzRWm9jYyPvI93d3en111+nH374QWu7Hz58SF27dqVXX31VsLwlal0UysLCgi8PAQEBtHjxYrp69apWei9evEju7u60bNkyQWcvjh07RuHh4fT5558LsmiTgp07d5KFhQVNnDiRzp8/L1g527x5M0kkEkpPT6ddu3YJZvOyZcvIy8uL3nvvPaqoqBBEJxHxs5jdunWjV199lb7//ntB8mLBggVqbUVZWZnWeidOnEgAqF+/fjR//nzB6kZiYiKFhITQ5s2b1Wb2tCE8PJwsLS1pwoQJdOrUKcHKWUpKCt93cHNzo2nTptGJEye06ue0tLRQeHg4/eMf/xC0jD1+/Jjs7OwoJiaGtm3bRg0NDYLpfhpoZ8aTDTw7gUwmo3feeYeuXLkiqN7KykoKCQmhefPm0Y8//ihYJampqaH58+cLbm99fT0VFxcLZqeCP/74gw+VE5Ljx4+Tt7c3zZkzh7777jvBVvOqr68XtMOu4LPPPqPc3Fzatm2b1ismK7Nnzx5asWIFH3IkFAsWLKDQ0FBavny5oJ21TZs20fr16wV1xkREr7zyCo0fP5727dsnqDPetm2boKsmK5gzZw59/PHHgueDkGVLgVwup3nz5tHx48e1Xj1bmZaWFlq4cKEggwtl5HK5IAOhtty7d4/i4+NpzZo1dP/+fcH01tTU0DfffCP4ioSPHz+mqqoqQXUSta4E+fbbbwv2clLB8ePHafbs2fTTTz8JWh6qqqoEHWgpWLFiBSUlJdH69eu1Wr21LVVVVYL7GyISZPVwTfz666+CrKTelpMnTwryMq4t9+7dEzx/5XI5LVu2jM6cOSOo7ubmZho7dixt3rxZkBe0ynrfeustunTpkmA6iVrzQWi/QNQ6IbBjxw7By/ClS5fI19eX3nrrLfrll18Ee3Yymey51OHS0lLB+3odpb2BJ1tc6L8IIvrPTHv/P6GpqUklrOG/nb9aeWhsbBT8f20+T/5q+ctgMP7ayOXy5/K/jhkMxr8HVoc7TnuLC7Hc+y+CdYKfL3+lQSfw1ysPf6VBJ/DXy18Gg/HXhnVYGYy/NqwOaw/LQQaDwWAwGAwGg8FgPFfYwJPBYDAYDAaDwWAwGM8VNvBkMBgMBoPBYDAYDMZzhQ08GQwGg8FgMBgMBoPxXGEDTwaDwWAwGAwGg8FgPFfYwJPBYDAYDAaDwWAwGM8VNvBkMBgMBoPBYDAYDMZzhQ08GQwGg8FgMBgMBoPxXGEDTwaDwWAwGAwGg8FgPFfYwJPBYDAYDAaDwWAwGM8VNvBkMBgMBoPBYDAYDMZzhQ08/x9ARP9pExiMTsHKLoPBaI+6urr/tAkMBoPBeAZEc+fO/bf92Lp16+aOGzfu3/Z7z4uysjJcu3YNdnZ24DhOML01NTWQyWTQ1dUVTCcAHDhwACNGjMClS5dQXl4OAwMDWFpaam37l19+iddffx137tyBXC6HjY2NILYXFxfjhx9+gJ2dHfT19bXWp+DWrVsQi8WQSCSC6QSAH3/8EQBgbGwsqN4zZ86A4ziYmpoKqrempgZ6enqC6gSAEydOwNjYGIaGhoLplMlkSExMxOeff46bN2+isbERlpaWWpcLuVyODz/8EDo6OoLW45qaGiQkJODkyZMoKSmBRCKBlZUVdHS0e8dXXl6OlJQUfP/996iqqoKJiQnMzMy0truhoQF//PEHLCwstNLTllu3bmHmzJmoqqqCqampILYCQElJCa5duwZbW1tBfe+ff/6J+/fvC+IXlbl79y5qamoEr8NlZWUQiUQQi8WC6j1w4AC++eYbmJiYCJoXx44dw82bN2Fvby9o+/b6669j4sSJOHXqFG7evImGhgZYWFjAwMBAK70XL16Evr6+1nra8ssvv8DMzAwikUgwnXK5HOPHj8fhw4dRXV0NY2NjQeobEWHv3r0wNTUVvG17+PCh4Dpra2sxYcIEvp23sbERJJ+bmprw448/Ct7fe/jwIZYsWQK5XA47OzvB+iV//vkndu3aBWtra5iYmAiiEwAuX76Md955B42NjbCxsRGsbpSVlaGxsVHwunby5Els374durq6sLW11boNVnDt2jXU1dXBzMxMEH0K6urqoKurK2gZA1rt1dXVfS59vqcxb968+3Pnzl2ndoKIOiUAugI4BuBXAD8DmPy0ewYNGkT/CzQ3N5OHhwfZ2dlRfn4+bdq0ie7fv6+13pqaGnJ2dqaYmBh677336Pr16wJYSySXyykmJoYA8GJhYUGRkZH02muv0c6dO+nPP/98Zr0tLS3k7e3N6xSJROTt7U0TJkygjRs30pUrV0gulz+z3gcPHpCxsTHp6OjQoEGDaNq0abR371569OjRM+tS5sKFC6Snp0dhYWG0ePFi+umnnzplX1uKi4sJAHl5edG0adPo66+/pvr6eq31HjhwgACQu7s7/e1vf6OdO3dSdXW11npXrlxJnp6eNGvWLDp9+jS1tLRorZOIaNWqVcRxHA0ePJhmzJhBR44coYaGBq31nj59WqXsAqBevXpRXl4erVixgk6fPt2p/H7zzTf5upCcnEwrVqygn376iWQymVb2fvzxxyq2GhsbU0hICL366qv05Zdf0t27dzuld+nSpSp67ezsKDExkRYuXEhHjhzpVP2Qy+Xk5+dH7u7uNHnyZNq/f78gZZeIKDs7m7fV0dGRMjIyaMWKFXT+/Hlqbm7ulM6mpiZyc3MjGxsbys3NpQ0bNnQ6P5Wpq6sjBwcHcnFxoXHjxtEXX3xBlZWVWustKysjMzMz6tu3L02dOpUOHjxIjx8/1lrvjRs3yNLSkpKTk2ndunX0xx9/aK2TiKikpIRMTU0JADk4OFBWVha9//779PPPP2vlK69cuUIikYj09PQoNDSU/v73v1NxcTE1NjZqZW9tbS1169ZNzT+4urpSeno6LVy4kA4ePEilpaXPpHf79u2ko6NDw4YNozlz5lBxcTE1NTVpZSsR0dq1a8nIyIgSEhJo5cqV9Pvvv2utk4joxIkTKn+/vb09JScn06JFi+ibb76h2traTulV+Mh+/frR5MmTaffu3Vq3w0REo0aNIi8vL5o5cyadPHmy0/6gLYsWLeLzwNDQkEJCQmjWrFm0d+9eKi8v77TemJgYsrW1pby8PMH6e0T/8pFisZiGDRtG06dPpz179mjlexQ+XdF3mDBhAm3bto1KSkq0slUul1NQUBABII7jqH///jRhwgT65JNP6M6dO53WW1VVRTY2NuTv70/z58+nCxcuaN0GExHV19fzvsHY2JikUinNnz+fTpw4oZUPvn37Nunp6ZG7uztNmjSJdu/eTTU1NVrbe/bsWerRowdNnjyZDh06pLVvVFBcXExisZiCgoJowYIFdP78eUHytyMAOE8axoIcdTKUjeM4BwAORHSR4zgTABcAJBPRL+3dM3jwYDp//nynfu+/CSLCF198gczMTJXjnp6ekEqliIyMRGBgYKfe4CxbtgzTpk3j93v37o3Y2FjExsYiMDCw3bdiLS0tKCsrQ0lJCS+lpaV8+tKlSzh37twTf9vJyQlBQUGYN28eevbsCaD1bWp1dTXKyspQXl6OsrIylfTp06dx4sSJdnVaWFjAx8cHw4YNw6hRo+Ds7KzR9rq6OhVZsmQJtm7dqnKdSCTC4MGDERoaitDQUPj7+8PIyOiJf1NbMjIy8MUXX/D7jo6OiI6ORnR0NCIiIjo18yOTyZCQkID9+/fzx/T19REYGAipVAqpVIr+/ft3+E0WEaG5uRkNDQ2IiorC2bNn+XMikQg+Pj6IjIxEREQEfHx8nnkGoaGhAT179sS9e/cAANbW1oiNjUV8fDykUmmn3uS1tLSgpqYGAwYMwJ07d/jjBgYGCAoKQmRkJCIjIzXmAxGhpqaGL6sPHz5UKcclJSXYt28famtr2/19sViM/v37Y+zYsRg3bpzam24iQmNjo0oZKy0tRUxMDOrr61Wutba2RkhICF/OevfurWIzEaG2thalpaW8lJWV8emSkhJs2bIFMpmsXXu7dOkCHx8f5ObmIjU1FRzHgYhQV1fH17G2cv/+faxfv75dnRzHoW/fvvDx8UF6ejqio6PbvVaZ48ePIzQ0lN/X19dHcHAwYmJiEB0djV69erVbduVyOWpqalBVVYWqqipUVlby6cuXL2PZsmUa7zMyMsKwYcMQEBAAf39/DBs2rENv5+VyObZu3YqCggKV43379kVkZCSkUimCgoKe2S8AwOrVq/Hiiy/y+zo6OvDx8eHr8NChQzs1wzh//nzMnj2b31fkb1RUFKKiouDh4dGpt9wvvPAC1q5dy+97enrybYWvr+9TbW1ubkZNTY2KPHr0CO+//z527dqldr21tTWCgoIQFBSE4OBg9O/fv90ZJblcjsePH6O+vh51dXWor69HUVER9u3bp3KdkZERAgICEBYWhrCwMHh7e6voJCKUl5fjwYMHuH//vooojv38888oLy9/4t8qFovx0ksvYe7cuR0uZ0OHDsWFCxf4Y6ampggNDeXLQ48ePZ75uTU3N8PDwwPXr1/nj/Xo0QPR0dGIiopCaGhouzOBzc3NqKioQHl5uZqUlZVh/fr17eaDSCSCp6cnfH19ERAQgIyMjHbLBxGhqakJjx8/Rnl5OQYPHoyqqir+vFgsxtChQxEREcG3Qc86W3fz5k306tULLS0tAFr7CVFRUYiNjUV0dDRsbGzavVfRJ6msrFSThw8fYu7cuZDL5Rrv9fDwgL+/P/z8/ODv7w83N7cOPcPvv/8eAwcOVDnm5eWFqKgoSKVSBAQEPHFGSSaT8fVLWS5fvoyioiK16zmOg5eXFwIDAxEUFITAwEDY2dlp1K1o2xR1ra6uDseOHVPxZQr69++PsLAwhIaGIjg4GObm5hr11dXVobq6GlVVVaiurubTp06dwqpVqzTa4ezsjICAAAQGBiIgIAB9+vTp8CzjokWLMHPmTH7fzs4OUVFRiImJgVQqhaWl5RPvb2xsVMvbR48e4fPPP8fmzZvVrpdIJPDx8eHz1s/Pr8Ozw0SEl19+GStWrOCP6erqws/Pj/cNbf1YR4mNjeX7kSYmJpBKpYiPj0dsbCxsbW2fWZ+C+Ph47N27l9+3sbGBVCrly297ZUtbOI67QESD1Y53duCp4Qd2AlhJRIfau+a/feC5ceNGfPDBB2hsbERTU5PaVjn9tHzT09NDUFAQpFIpamtrcezYMcjlcshkMsjlcl7a7j9+/Bg3b97UqNPY2BgRERGIi4tDTEwMVq9eje3bt6OkpAQVFRVa/e19+/bF2LFjkZ+fj/nz5+PgwYP8ALM9J94RLC0tkZ+fj9GjR+ODDz7A2bNnVTr/tbW1aGpq6pRuXV1dZGdnQyaT4datW2hpaUFLSwuam5vb3dbX16OhoUGjPkVHUzEQXbp0Kf744w+VcqAp/aQBhgJ7e3tERERAKpVi8+bNqK6uRmNjIxoaGtDQ0MCnFduO1ktjY2OEhIQgKioK27dvf1KEgsr+9evXUVZWpqZPLBYjMDAQ8fHxiI+Ph4ODA+Li4lTs05TuaBmxs7NDREQEvL29sXXrVn6g1tjY2KH7NWFkZIScnByMGzcOxsbGKCwsVHuRUVdX1+ly7OTkhBEjRmDv3r38IFMbeyUSCdLS0jBmzBg0NjZi1qxZgugVi8VITExEYWEh5HI5Fi9ezJf9ttL2+JM67i4uLnydePDgAdauXcsPLqurq7XyD3Z2dsjPz4epqSkOHjyoUrfa1rXGxka+o/okJBIJ/P39IZVK8ejRI3zzzTe8/36SPE23mZkZwsPDIZVKcf36dZw6dQrNzc1oampCc3Nzu+mn6XZycuIHoWfPnsV3333HtwvK27bpmpoaPHjwoF1bpVIp35GfM2cOvvvuOzx69IgfZLbnBzuCRCJBfn4+qqqqcPv2bZUBZl1dHR4/ftwpvWZmZsjPz8cPP/yAO3fu4MGDB2hubu60nU5OThg3bhwKCwvh6OgIqVSKmpqap7bvHflNV1dXSKVShIeHY8WKFZDL5fyzb09aWlpQX1/fbpuhq6uLgIAAREVFYdCgQZg1axbfDj969KjT+QC0DrpGjx6N0NBQTJkyBY8fP0ZDQ4Pa9lnaH6DV/yo68AcPHnxqH0exf+PGDY1tP8dxGDp0KGJjYxEXF4fa2lq88sor/OCyqqpKq2//7e3tUVBQAA8PD6xfv55/9m3rbNtjT6rDhoaGCAkJgVQqBcdx2Lx5Mz/4qamp0fpb5KCgIPj7++Po0aN8e6Zc5zrjg3V0dODv748hQ4bg6NGj/ACzurq6Q32a9jA3N0d2djZMTExw5swZyGQytfan7bHGxsZ22yAdHR0MHToUMTExiImJwZdffokDBw6oDDA724cEWl8EpqenQ19fHz///LOaL9DkK56GpaUl3987ffo0bty4odYPU6SVtw8ePFB5KaWA4zj4+Pjw/TJPT08UFBTgxo0bT/U5ikmMJ5XfAQMG8C+//Pz8BAv7bm/g2elQ2zadWhcAdwCYajg3DsB5AOednZ2FmL19bixcuFAtZKezYmhoSJmZmbRt2zaaMmWKYHoBkJmZGeXm5lJGRsYTrxOJROTg4ECenp4UEBCgdt7AwIBGjhxJp06dUgmjyszMfKoNenp61KVLF+rVq5faOY7jKDIykj799FOVkIbIyEhB/n57e3t66aWX6MyZMySXy2nIkCGC5a1EIqG4uDj68MMPqXv37oLpdXNzo1mzZtHFixfJxsZGEJ0cx1FQUBC99957dO/ePRKJRIKWMysrK5ozZ45g+nR0dCg8PJzWrFlDP/zww1Ovt7CwIHd3dwoMDCRnZ2e184MHD6a1a9eqhH5dunRJMHsDAgJo1apV9PDhQzp58uRTr9fX16euXbvSwIEDydzcXO18v379aMWKFVRWVsbbu3v37qfqFYvFZG9vT/369SMjIyO18x4eHrR06VJ6+PAhr3fTpk2CloXu3bvTtGnT6JVXXunwPbq6uhqP6+npUWZmJu3du5cPsZs3b55gtpqamlJBQQHt3LmTJk2aJJheIyMjyszMpM8++4zy8vIE06unp0eJiYm0ceNGiouLE/S5OTk50aRJk8jX11cQfcHBwbRu3TqqqKggIiIvLy9B9NrY2NDEiRPp5MmTJJPJyMXFpd1rDQwMqHv37uTv70/p6ekUGhqqcp7jOIqOjqYdO3aohXAqwoiFkN69e9Prr79O33//vaDPzNramsaMGUOfffZZh643NDSkrl27kqWlpdo5ExMTGjt2LN9WErWGaQtlq7m5OY0aNYoOHDhA586dEzQfdHR0KDg4mF577bUO32NkZERisVjtuEQioYyMDBWfs337dkHt9fPzo2XLlqmE+2pbvhYsWEC3bt0iIqIlS5YIoldXV5cSEhLok08+oZqammfK3/ZELBZTYmIiffHFF/znNRMnThQ0f/v06UOvvfYaJSYmaq2L4zgKDw+nDRs28J8vxcbGCmarnZ0dTZgwgY4cOSKY71V+fmPGjNHY9+6smJqaUl5eHm3fvp3q6uq0HEn9C7QTaqv1ygQcxxkD2A5gChGpvZIjonUA1gGtM57a/t7zpH///sjNzYWenh4kEgkkEgmfbnusoqICc+bMUbnfxMQECQkJSE9PR1RUFL/ISktLC7KysqCjowMdHR2IRCI+3Xa/rKwMn332mZptTk5OSEpKQnJyMoKCgiCRSLBt2zbY2trC1tYWNjY2amlzc3M+1OGf//wniouLAQDe3t4YO3YscnNzNYZVRkVFwdramhcrKyuVrbW1NQwNDcFxHD744AMoFozq1q0bRo0ahZEjR6Jbt24a9To5OcHIyOipsnv3brz99tv8vebm5khLS0NOTg5CQkJUwhiioqLg5uYGsVgMXV3dJ25PnTqFgwcPqthlZGSE2NhYpKamIjY2ll8I5Ndff+UXiNHT01MrC8rbHTt24MCBAyp6PTw8kJGRgfT0dPTr148P6cnIyEBdXR309PSgr6//xO3HH3+Mo0eP8jo5jkNgYCAyMjKQlpYGBwcH/lxGRgZkMhk4jtMoivs5jkNxcbHGmXV3d3ckJiYiMTERvr6+ICL89ttvKjY9Kb1kyRJcvnyZ1ycSiRAWFoaMjAwkJyfzIVRNTU0YNWoUX2bbirW1Nf/WTS6Xw93dHUBrHcvPz8fYsWPh7e2tZr+NjQ3y8vI6VMYMDQ2Rnp6Ou3fv8vd7e3sjJycHWVlZKmHhTU1NGD16NGxsbHixtrZW2VfUibq6Ojg6OgJonZHOycnBmDFjMGTIELWwLjc3N4wZM0alvrUVU1NTcByH8vJydOnShS+zWVlZKCwshK+vr5peV1dXZGdnQywWq5R/ZVEck8lkWLhwodosgqenJ1JTU5GSksKHSH/zzTeorKyEhYUFzM3NYW5urpJW3r937x569erF6/P19cWIESOQmZmpFtLu5eWFvLw8tXqlKV1aWoo33nhD5X5zc3MkJycjIyMD4eHhfNhbTU0NKioqeN/9JLl9+zaWL1+uotfU1FTFpys+n1DMukgkEujq6kJXV5dPt93+9ttv+OCDD1T0GhkZIS4uDmlpaYiNjeXDK0tLS2FsbAyRSMS3C8pb5fRvv/2mEt6voH///khOTkZycjK8vb3BcRyWLFmCvn37wsTEBCYmJjA1NdWYNjExwSeffALlRQf79euH/Px85OTkqH0qkZiYiIEDB/L1SbFVTiu2W7ZswUcffcTfa2ZmhrS0NGRnZyM0NFQl9HPEiBGoq6uDg4ODitjb2/P1QUF+fj6A1lDg0aNHY/z48ejevbtavgBAVlYWGhoaVNpzTe27RCLBli1bcPr0abW8TU9PR3p6Ovr06cMfz8nJgY6ODl8WNImizn3yyScqPhJobd9TU1ORmpoKf39/iMViyOVyDB8+HJaWlnz7qyyKY/r6+iAiDB48mI98Cg4OxujRo5GWlqYWdm5mZoacnBwYGBjwCyg9aTt16lTcunVL5f7k5GRkZmYiIiKC99O3bt1CZmamxn6Npj7Ppk2bUF1drWKboaEhoqKikJSUhLi4OFhbW+PGjRu4d+8eLCws2hVLS0uYm5ujpaUFXbp04UODhwwZgpEjRyI7O1stXNPZ2Rk5OTl8XdVUfxVpAJg5c6bKrJGOjg6Cg4ORlpaGlJQU3uefPn0aI0eOhKmpKV+3FOm2UldXB29vb36G0c7ODrm5ucjPz+frrgJPT08MHz5cY91qu62oqFD5FExHRwehoaHIyclBSkqKSl4MHToUhYWFMDMzg5mZGczNzVW2yukrV67A39+fv3fIkCEYPnw4srKy1MKjBw8erNIGicVifkG0tvt3797Fpk2b0BYfHx+kpKQgJSWFb0s++ugj2NratpunynLo0CEUFhaq5GFBQQFycnL4tlRBaGgoLC0t2/UHyulz586p2dulSxekpqYiPT0d/v7+fB81PDwcTk5OAKDWD2t77OrVqyrh/QqsrKwQFxeHhIQESKVSmJqaYvr06fjzzz/V/Ixym6SQw4cP49ChQ2o6k5OTkZaWhrCwsH/v4kOaRqMdFQC6AA4CmNqR6/9XFhciIpoxYwYBrW/8hg8fTrt27RJk0WuhPKgAACAASURBVAjlGQVPT0+aPXs2nT9/XutFcBITE2n8+PF0/vx5rW1UIJfLydfXl7Kysujrr78W7INluVxO/fv3J0NDQ8rOzqadO3cKskiNTCajfv36EQCytLSkkSNH0q5du7ReTKWhoYEcHR0JAPXv35/mzZtHP//8s9b2VldXk5mZGXEcR8HBwbRy5cpOLQLVlkePHpGFhQUBrW+Vg4KCaOnSpXT16lWt9N64cYN0dHRIJBKRVCqlDz744JkX9dDEkSNHaNiwYbR+/fpOL5KhiYMHDxLQugDD3Llz6cqVK4Lo/eijj8jX15c++ugjQRYdULBs2TIaNmwYffjhh4Is8KFg7dq1vM/x8/OjJUuWCLLoyZQpU8jZ2Zlee+01rcuWMi+//DIBrTPyY8aMoQMHDgiyEMPo0aN53zBq1Cjau3evIH4nPT1dpa3YuXOnIAs4xcfHq9Th5cuXa70gnUwmo549e5KTkxNNnz6dfvzxR63tJGpdFMrJyYkMDQ0pJydHMJ9eWVlJkZGRtGXLFkH0KaiqquJnRwcOHEgLFy4UpAw/fPiQDAwMCAD17NmTXn31VTp37pzWbee5c+fI0dGRZs2aRdeuXdPaTmW9QOvMaUFBAe3evVuQfFaeHbWxsaHCwkJB2uIPPviA7O3tafr06YK0wQo2bNjAzzZFR0fTBx98oPViPUREc+bMIUNDQ8rPz6cDBw4ItsiSoh/p5+dH7777rmCLIeXl5VHXrl1p5syZ9Msvvwiik4iosLCQnzmNiIigVatWCbJoXEBAADk6OlJRUZFgvoyIyN/fnwCQs7MzTZ06lU6fPq11HZbL5SqRib1796bp06fTyZMntVoAsrm5mVxdXQloXeTvb3/7Gx09elSwsvYk0M6MpzaDTg7AJgD/6Og9/ysDz6amJpo6dSrt379fsJWniIgqKiooLi6O3nnnHbpx44ZgeuVyuaAddgXNzc0qYYNCce/ePdq6davgNp89e5YmTpxIhw8fFmSFQgXFxcW0YMECwQYuCo4ePUqrVq0SrNFQsHLlSsrIyKBNmzYJ+vy2bdtGH330keBlQsjQD2V27dpFFy9eFGRlY2WEWA1VE8+jrslkMnrhhRdo9erVgrzUUOZ5rJ7X0NBA06ZNo8OHDwvacFZXV9OkSZPo66+/FtQ3PHjwgMaPHy/Y4FjBlStXKCkpiTZs2CDIyx0F9+/fp2PHjgn+3K5cuUKffvqp4D79ea3OuHfvXlq8eLFgK8sr2LJlC82dO1ewFdUVPHjwQLDVyZXZunUr7dixQ5CX6sq88sorVFRURMXFxYLa/euvvwreoZbL5TRz5kzatGmT4L794MGDgr6cJGq1d82aNXyIrpB6i4uLBa9zpaWllJWVRZs2beJD+IWgrq6Ojhw5Ini9+P3332n69On07bffClqHT5w4QSEhIbR8+XJBXx6dOHGCpk2bRmfOnPm3rWaroL2Bpzar2gYAOAngEgDFl82ziGhfe/f8ty8uxGD8f4CIBP9fUQwGg8FgMBiMZ0culwv2v0b/W2hvcaFOf+NJRMVonfVkMBh/Idigk8FgMBgMBuO/g/+1QeeT+P/zlzIYDAaDwWAwGAwG4z8CG3gyGAwGg8FgMBgMBuO5wgaeDAaDwWAwGAwGg8F4rrCBJ4PBYDAYDAaDwWAwnits4MlgMBgMBoPBYDAYjOcKG3gyGAwGg8FgMBgMBuO5wgaeDAaDwWAwGAwGg8F4rrCBJ4PBYDAYDAaDwWAwnits4MlgMBgMBoPBYDAYjOcKG3gyGAwGg8FgMBgMBuO5wgaeDAaDwWAwGAwGg8F4rrCB538RRPSfNuGZqKio+MvZ/FdCLpf/p034n+Xx48coLy8XXC+rDwyGOqxeMJ43tbW1qKmp+U+b0WGeV51obm5+LnoZrbB+mfaI5s6d+2/7sXXr1s0dN27cv+33nhc3b97EO++8A7lcDnt7e+jq6gqi99y5c0hPT8elS5dQVVUFIyMjmJubg+M4rfR+++23+PDDD0FEgtp75MgR+Pj44Ouvv8bly5dRUVEBPT09WFhYaGXzvn378OWXX0IsFsPOzg4ikUgQe7ds2YJPP/0UTU1NsLGxgb6+viB6L126BAAwNjYWRJ+CqVOn4u2338avv/6KmpoamJiYwMTEROvysHTpUpw7dw4SiQS2trbQ0RHm/dNPP/0Ec3NziMViQfQBrY3zhg0b0NjYCHt7e8Fs1dHRQXh4OBYsWICTJ0/i999/R11dHUxNTbV6jnV1dZBKpTh8+DDu3bsHjuNgY2OjdRluaWnBpUuXYGdnp/XzV6axsRHXr1+HlZWVoHrr6+tRUVEheJ2orq5GRUUFTExMBNV76tQpFBYW4vfff0dDQwOsrKxgYGCgtd67d++ioqIC5ubmAlj5L0pKSsBxnGC+XMH58+dx+/ZtODg4CFbXgFaf8+abb+LatWtoaGiApaUlDA0Ntda7cOFCrFu3Dg8ePIBYLIaNjY0gdu/fvx/V1dWws7MTNB/efPNNnD59GhzHwdbWVhBfSUQYPXo09uzZg9LSUujr6wtWny9evAhra2vB2mCg1efk5OTg7NmzqKmpgZmZGUxNTbXWK5PJMHDgQKxcuRKnT5/GzZs30djYCHNzc63qcnV1NYqKilBZWQlzc3OYmZlpbSsA3LlzB9HR0Th//rygz+3333/HsGHDcPz4cT4PrKystO7v/PTTTygqKkJJSQkMDAxgbW0tSBm7du0aTp8+DQcHB+jp6WmtT8H169dx79492NraCtq2bdy4EYWFhfjhhx9QVlYGiUQCS0tLrf1EVVUVJBKJoLYCrf1TuVwueJvZEebNm3d/7ty569ROENG/TQYNGkT/K0RHRxMA0tXVJT8/P5o5cyYdOHCAampqtNKbm5tLAHixsbGh+Ph4mj9/Ph06dIiqqqqeWWdzczP169ePt9ff359mzZpFBw4coEePHmllb1pamoq9AMjU1JSCg4Np6tSp9Mknn9CVK1dIJpN1WGd1dTXZ2toSADI0NKTw8HD6+9//TsePH6fHjx932tby8nKytLQkAMRxHHl5edHEiRPp008/pbt373Za75kzZ4jjOPL29qaZM2fS8ePHqbGxsdP6FJSWlvL2KsTBwYGSk5Np4cKFdPjwYaqurn5mvefOneP1mZiYUFRUFM2fP59OnDihVf6uXLmSDA0NKS4ujlauXEm///57p3Ups2bNGt7WuLg4Wr58Of3www/PVKY08eOPP5JIJFIrv46OjhQfH09z5syhHTt20J07d0gul3dY7z//+U8VfXp6ejRs2DCaPHkybd26lW7cuPFM+hSkpKSQg4MDjRo1irZt20aVlZXPrKMtcrmcQkJCyNXVlSZOnEh79uyhuro6rfXKZDLy8vKiwYMH0xtvvEHffvut1s+LiKipqYl69OhBAwYMoFmzZlFxcTE1NzdrrZeIKDExUeW5ubu708iRI2nNmjX0448/UktLyzPrrKqqIgsLC3J3d6fJkyfT/v37qb6+Xmtb79y5Q2ZmZhQdHU3vvfce3bhxQ2udCr36+vpkampKSUlJ9N5779GVK1c6VV6Vqa2tpa5du6rkr5ubG+Xn59PKlSvpu+++65TPfPjwIZmZmfE6jYyMKCQkhGbNmkW7d++m0tLSTtl75MgRAkAWFhaUmppK77//Pl29elXrfDh79ixvq0QioYCAAJoxYwbt3btXq/qsrBcAmZmZkVQqpTfeeIMOHDjQad2zZ88mExMTSk5OprVr19Lt27c7baMybX2ks7MzZWVl0YoVK+jbb7+lpqamTuk9fPiwmj8HQK6urpSWlkYLFy6kAwcOUElJyTPpnTZtGq+rW7dulJ+fT+vWraNff/1VqzLxxhtvqD23yMhIev3112nPnj2dLr+vvfaaWh64u7tTfn4+rVixgs6cOdOptj4+Pp7XZ2FhQXFxcbRw4UL65ptvOu3XGhoayMXFhUQiEfn5+dHs2bPpm2++0boPVVlZSRYWFuTg4EAjRoygrVu3PvNz14RMJiMfHx+VvDUxMaHQ0FB69dVXafv27fTHH388c7m4ePEiOTo60pgxY2jHjh1UW1urta1EROfPnyeO48jT05OKioro8OHD1NDQIIjupwHgPGkYC3L0bwyBGTx4MJ0/f/7f9nvaIpPJUFNTo1G+++47vPXWW2r3iEQiDBo0CMHBwQgODkZAQAD/hoyIUFdXh7Kysnbl6tWrOH78eLs2cRyHPn36YNiwYXj55ZfRt29f/lxTUxMePXqEmpoafqtIHzx4EBs2bNBo78CBAxEUFISgoCAEBgbCwsKC1/fgwQNe7t+/r5a+desWHj58+NS8TEtLw/Lly+Hs7MznRWNjo4qtyjZ/8skn2LNnj5oeiUQCHx8f3l4/Pz+VWRXFM6uqqkJ1dTWqq6tV0p999hmKi4s12ujq6oqAgAAEBgYiICAAvXv37tDbJ5lMhqSkJOzdu5c/ZmxsjPDwcERFRSE6Ohqurq5q97W0tKCsrAylpaW8lJSUqOyfPn0a9+/fb/e3OY5D7969kZaWhhkzZsDIyAhAaziIIk8fPXqE6upqlfSiRYtw48aNdvM3MDCQz9+OvilrampCr169cPv2bf6Ym5sbYmJiEB0djZCQkCe+eSYiNDc3o76+XkUePXqEpKQkVFRUqFxvZWWF0NBQhIWFISwsDL169eKfFxGhvLwc9+/fx/379/Hnn39qTN++ffupoTM9evTA7NmzMXz4cHAch8bGRr6+lpaWqtXh0tJSbN++HTKZrF2dNjY28PHxwYgRI5CWltahcnb58mV4enryIVoikQi+vr6IiYlBTEwMBgwY0Km3pcXFxQgMDOT39fT0EBwcjJiYGMTGxsLNza1Ter/66iukpqby+7a2toiJiUFcXBwiIyM7PQu4adMmjBgxgt+3sLCAVCpFbGwsoqOjYWtrq/E+RXi1slRUVPDpy5cv4+uvv273d42NjTF06FD4+voiLy8PHh4eHbL37bffxowZM/h9fX19BAcHIzo6GtHR0XB3d+9U/k6aNAkrV67k9z08PBAXF4e4uDj4+/t3aDaUiNDU1ITGxkY0NDSgoaEBr7/+OjZv3qxyXdeuXREREYGIiAiEh4fDzs5O5bxcLkdVVRXKy8vbbduKi4vx22+/tWuLvr4+Bg4ciJCQEEybNg0WFhYgItTW1qo8q4qKCpX03r17n6jXzc0Nvr6+8PPzQ25urpo/U/idhoYGPH78mN/m5ubi+++/V8uH8PBwPh/s7e3Vfq+lpUWt3VFui5YvX447d+6o3cdxHPr376/SBjk5Oanlr3KZVU5/+umnaj5SWbeHhwd8fX0RHByMnJycDs22VldXw9XVFZWVlfwxDw8P3qcHBgZqnEmTyWR8dELb56bYX7t2LZqamjT+rr6+PoYMGQJfX1+EhoYiKipKzacri7JPv3nz5lP/rt69e2PBggVISUnh615zc7NaO6lI37lzB7NmzdKoy8bGhu87BQUFwdPTk58hfvz48RP7e3fv3sWuXbueaGuPHj3g4+OD8ePHIygoCESEqqoqlJSUoKSkBA8fPuTTCrlz5w6+++67J+oVi8Xw9fXF0qVLMXToUACt5ezRo0eorKxEVVUVqqqqVNLff/89tmzZolGfrq4uBg0ahICAAPj7+8Pf3x82NjZq18nlcrW6tmXLFsybN0/lOkNDQwQFBfF+p3///h2aVSQiyGQyNDU1YdGiRXjzzTf5cxzHYeDAgZBKpYiKioKvry8kEomafRUVFSp9MUVasb106RKuXLnyRDscHBwQFRWFBQsWwNHR8al2A0BKSgp27NgBoLUOhIWFISEhAfHx8bwveBYUeZGeno6dO3fyxw0NDfl6FRUV1ek2/mlwHHeBiAarHWcDz3+xatUqvPPOO/zg5/Hjx1rp4zgO4eHh6NGjB/bs2YOysjI0NjZqpdPe3h4jR47E6NGjsX79enz22Wf8gK09J95RDAwMkJKSgoaGBhw/frzdRqyjWFlZYfTo0Rg3bhx69uyJgoICnDx5kh8QtbS0aKXfzMwMOTk5uHHjBn755RdUV1cL8o2Ht7c3CgoKsH//fty9exfNzc1PlI7UITc3N0RHR0MqlWL69Ol48OCBSmPeGUQiERISEjBmzBiEhYVh0KBBfEMpRD4MGDAAubm52Lx5M2QyGVpaWtDS0qKSbitNTU3t5oe+vj5CQkIQHR2NAQMG4MUXX1QbZGrz/USXLl2Qn5+Pf/7zn3jw4IFW9UFHRweJiYmYMGECIiIicPLkSYwaNQqlpaWora3ttF6g1elnZmaisLAQTU1NmDJlCp+nmvJZeVtfX9+uXnt7e0RFRSEmJgYymQyLFi2CTCbjRaFD0/6Tykv37t35wW1JSQlWrFgBuVz+VJHJZPjzzz816hSJRAgICEBcXBxiY2Nx4sQJrF69mr9PJpOppJX3W1pa2q07HMdh8ODBiI2NRUxMDHbt2oWNGzeioqJCa39ubGyM7OxsPqxx586daGlpQXNzs8atIv2kFxAA0K1bN34QeujQIRQXF0Mul4OINOar4nh9fT3Kyso06jQ1NYVUKkVcXBxiYmJQVFSEc+fOqQwwFenO4OnpiejoaJw5cwZXrlxBeXm51t8+DRgwAIWFhcjNzUVMTAxu3bqFiooKrdsJR0dHjBgxAiNHjkRubi6qq6tVOr0NDQ2dtr1v375ISUnB559/zg9WnlRHOwLHcYiIiEBCQgLeffddVFRUoLKyUutvAr29vTFq1CgEBQVh+PDh7fpwTT69PRQd2OjoaHTp0gVFRUWoqKhAVVWVYPba29tj6tSpePDggVZlQSwWIyUlBRMmTEBISAj27NmDV155hR9gdrYuKNDV1UVsbCzc3d3x6aefoqysTOuyYGZmhtzcXBQWFqK4uBiLFy9GaWmp1t9xDho0COPGjUN2djZWr16NNWvWoLKyEo8ePdL6ufXr1w8jRozAgwcPsGfPHrVBZmdtt7a2hlQqhYGBAc6cOYOmpiaN0tE+GQAYGRnxA7DDhw/j9OnTgviy4OBgjB07FqmpqXjxxRfx448/dui+srIy/PHHHxrPDRgwAAkJCUhISMCgQYOQkpKCa9euqfRFFX+/snQEV1dXfhAaEREh2Ccy7Q08WaitEosWLdIYpvGsMmDAAFqyZAn98ccfREQ0Y8aMJ14vFovJ3t6e+vXrR4GBgWrnRSIRJSYm0s6dO1XCysaPH6+1rTo6OhQZGUkbN27kw26zs7Pbvd7S0pL69OlD4eHhlJeXRyNGjFC7JiAggLZs2aIWyiGVSrW2V1dXl1JSUmj79u28/qFDh3boXo7jyMDAQOM5R0dHmj59Ol26dIm3183NTZDyAIDs7e1pwoQJdOjQIT6MuD0bbWxsqE+fPhQcHEz9+/dXu6ZHjx701ltv0f3793lb5XI56erqdtgejuM0HndycqJXX32Vz4fa2lrB8gAAWVtbU2FhIX388ceC6Rw0aBAtWbKEbt++TT///HO71xkaGlLPnj0pMDCQMjMzacqUKeTh4aFyjYODA82ePZvu3LmjUnaLi4ufmp/W1tbUu3dvCgwMVAuRBkBDhgyhtWvXqoRH79q1S9D8dXV1palTp9Ls2bMF1dutWzeaPHkyvfzyy4LqNTMzo5ycHBozZoygel1cXGjKlClUUFDw1GtNTU3J1dWVBgwYoPF8UFAQffzxxyqhTyNHjhTMVolEQnFxcfTRRx9RTEyMoPng5OREf/vb38jX11cQfTo6OhQaGkqrV6+mBw8ekLe39xOvNzQ0JGdnZxo4cKBGX2ZmZkYvvvgiXbhwQaW+ubi4PNUWc3Nz6t69Ozk7O2vM04yMDNq/f79KiLRyWK42Ym5uTqNHj6YDBw5QQ0NDu/60rYhEIpJIJBrP9e3blxYvXsx/9lFVVfVUfWKxmGxtbcnDw0Nju2JpaUmTJk2iixcv8nlw48YNQctY165dadKkSbRu3boOlR8rKytyc3MjU1NTtfPW1tY0efJk+uGHH3h7jx492q4+Y2NjcnNzo6CgIMrKyqIpU6aolYeuXbvS/PnzVdpLIqIvv/xSkL/f19eX3n//fSorKyMiovXr1z81D2xsbMjDw4MCAwNJT09P7ZqQkBDavHmzymcPy5cvf6JeKysr8vDwoODgYMrIyCCxWKxy3sTEhF544QW1utbRtkIikbTbd1E8twsXLvAhpn/7298EyV8dHR0KCwujNWvW0MOHDykvL0+wsmtnZ0cvvPACHT58mOLi4p54raWlJd++BwcHq523sbGhoqIiunr1qkr++vn5CWYvANLX16exY8eSu7u7YDodHR1p4sSJdPToUcE+XSFqP9RWuFVA/gcYOnQopkyZwi/iYmJiAmNjY5V9hdy+fRv+/v78vS4uLsjNzUVeXh769Omjojc0NBRA6xsbTWJqaspPc+/ZswcnT54E0DpLVlhYiOHDh8PBwUHN3sjISBgZGcHU1JS3S5Fuuz1+/DgyMjL4ewcOHIi8vDxkZ2erhQGkpqbC3d0d9vb2cHBw4Ld2dnZqH38vW7YMQOsb9uHDh2P8+PHo16+fxvxNTU2Fp6fnE+1UpDds2IBp06bx9wYFBSEvLw/p6emwtLRU0ZuXl4fQ0FCYmZnBzMyMXwCg7b6xsTHeeOMNzJ8/H0Dr29q0tDQMHz4coaGhagso5ObmoqysDLq6uk8UsViMr776Si1Mz8XFBampqUhLS8OwYcP4MJGXXnoJMpkMNjY2amJpaaliR3JyMi5dugQ9PT2kpaVhzJgxCA4OVgs54TgOU6ZMgVgshqmpKUxNTflFGzTtp6enY/fu3QAAExMTpKeno6CgQE23RCLB+PHjIRKJIBaLnypr1qxRC3tzdnZGamoqUlJS4O/vD5FIhNraWnz77bcwNDTkxcDAQGVfWXJzc3H16lVeZ79+/ZCdnY2srCz07NmTP15TU4NXXnkFDg4OcHR0hIODAy9tF2Z6/PgxPv74YwBAWFgYJkyYgKSkJI0hiq6urpg6dSpsbGxU6q5i39zcnH9uNTU1fJ2ytLREfn4+CgsL4enpqabXxcUF48ePh1gs5vNYOa+VjwHAnDlz1N5ienl5ITk5GSkpKfD09ATHcTh37hxKSkogEolUdGjab25uVgtzAlpntRR6vby8wHEcjh49irq6Oujo6DxVamtrVUJBlctDUlISEhMTERwcDF1dXezbt4+3R0dH54npsrIyrFq1Sk3vgAEDkJycjOTkZD4f9u3bB0dHR1hZWamJpaUlLC0t+ee9Y8cOpKSkAGidPVfMkrm5uan9VlhYGAwMDPj6r9gqpxXbX375BWvXrlW538jICHFxcUhNTUVMTAy/uEpjYyOcnZ3BcZzGPFU+/ssvv/B1uG0+JCYmIikpCd7e3uA4Du+++y6GDBkCPT096OvrQ19fv9307t27sW7dv9aD0NHRQUhICDIyMpCSkqISZjtq1CgkJCRobNesrKxUFhCaNGkSvxBbSEgICgsLkZaWpjH8fvz48aivr4elpaXKs1KklRcxGzlyJDZu3AjgX7Nkubm5sLKyUtM7btw4NDc3w8DAAPr6+mpb5fTixYtVfLqZmRmSk5ORmZmJiIgIlRC9l19+Gfr6+hrbHWUxMjJCVFQUDh06BKA1/DwvLw8FBQVqofKmpqaYPHmyyt+u+PsVaYVPIyJ4eXmhpKQEOjo6kEqlGD16NBITE9XabDMzM97ndESWLFmiFrnQu3dv3qcPGjQIHMehtLQUv/zyi8rzaiumpqbQ0dFBQ0MDunbtCqA1+iE2NhajRo1CXFycWuhjr169UFRUpOLLlX26MgrfwHEcoqKiMGHCBMTFxWlcHMnd3R2TJ09Waxs1pRsbG9GtWzd+VrRHjx4oKChAfn4+evTooaLX29sbRUVF7fb3zM3N+Tb2ypUrfMi+g4MDH82m3KYp8PX1xYwZM2BrawtbW1vY2dnxaWtra5XQ6dOnT+Pzzz8HAAwbNgxjx45FVlYW/ymOMoGBgSgqKoK5uTkvFhYWavv6+vo4fvw435/V1dVFQkICRowYgZiYGLV2Mzg4GBzHaaxbbbeKhYsUcByHoKAgZGZmIi0tTcXnREREwNzcHBKJhBddXV2VfYVcuHAB7733nopdTk5OSEtLQ1paGvz8/Piyce/ePQwcOPD/2rvzuKau9H/gn8sethCWBBRxL0pVFBAVFUEQRGVT2ZStblOtjnYc96Xaqv25TlFn9KvTcay2te1UrdRWrVWpWr8Wq9PWpa1W27oCgsoisuX5/QG5k5iASG4U5vu8X6/zys325OSee869596TE/FYTKlUircuLi4663fFihXIycmBIAiIiIjAxIkTER0drbftAkB0dLRen6A+58+fx//+7//qPe7h4YERI0YgOjoaYWFhsLW1xRtvvIG8vDy941HN+tBOn3zyCT777DOdmO3bt8eoUaMwcuRI9OnTR9JJ1J7IUG/UVKm5X/F8GuPHjycXFxeaPHkynThxwuhJBzQSExMpPT2dcnJyJItJRDR48GBq27YtzZ8/ny5cuCBJTLVaTWlpabR161ajJ1XSVl1dTR07diQfHx9asWIF/frrr5LELS8vJ5VKReHh4fTOO+9Ilufy8nJyd3cnANS1a1dauHAhnT171ujyu3HjBvXs2ZOysrKosLBQkrwSEV25coWsrKxoxIgRtGvXLkkmOyGqPZOumaznxRdfpIULF+qcAW2qkydPElA7GcmiRYvo/PnzkuT3888/pxkzZtCPP/4oSTyNzZs3U3h4OL3//vtGTdb0uB07dhBQe3V14MCBtHbtWvrll1+Mjrtx40a9uFJMDPXmm2+KZ1R79epFS5YsoXPnzhm9PcyaNYuA2qtHoaGhlJWVRdeuXTM6v9HR0QavkhkrNjZWPGP+0ksv0b59+yTZLiIjIwmoveoVFhZG69evN7qtrKmpIW9vb/Eqw6ZNmygvL8/odLeD7AAAIABJREFUvJaWlpKPjw/Nnz+fLl++bHQ8jbt375Knp6feVTJj5efnk42NDTk4OFBqaiplZ2dLMiHHxYsXSSaTUVJSEu3fv1+yqwvHjx+njh070vLly8WRVlI4c+aMWId79+5NK1asoEuXLhkdd8eOHeTj40OrV6/WuxJpjPfee49mz54tSbuo7c033yRnZ2eaMmUKnTp1SrJjs9mzZ1NcXBxlZ2dLeqVpxowZNG3aNPr+++8li0lUO5lkYGAgbdy4UbzCK4W4uDhx/7Nhwwa6deuWJHGHDBlCAKhDhw40a9YsOn36tNFlV1NTQwMHDqTFixdLst/RUKvVOqP3/Pz8aPHixZSbm2vUxHwVFRXk6elJAMjHx4cWLVokyX64McCTC0mHiPDll18iODjY4BkOY5SWlkr+FwQVFRXIzc1FUFCQpGc1iMgkP0guLCzE9evXxassUrl79y4ePXrUpB9pNyQnJwcnT55EfHx8oyccaYyKigqTTK995coVyOVygz/8N8bbb7+NwsJCxMfHG7xK1FSHDh2Cq6urePWmuSsrKzN4ZtkYRITZs2fD29sbMTEx9U6g87TUajWmTZsGPz8/REdHSxa3oqIC48aNQ79+/RATEyNOKmas0tJSTJkyBeHh4Rg+fLjBq1pNQUS4d++e3mgKY925cwcrVqxAfHw8Bg4cKNlfDV26dAlLly5FbGwsoqKiJPu7lsuXL+PLL7/EyJEjJdsWgNrRBZorwFJ68OABZDKZ5PvhEydOoLCwEJGRkZL97RZQ+1dszs7Okv0lh0ZRUZHRf2NmSFZWFszMzBAXFydeoZRCXl6e5H9zYUq5ubnw9fVtEcd7QO0EV1LXNSLClStXJN23A7Xr4J///Cfi4+PRunVryeLevn0bf/vb3zBq1ChJjyWrq6shCIKkfzEEAMeOHcOaNWvEyYSkWhdff/01jh07hpEjR6JLly6SxGwsnlyIMcYYY4wxxpoRU13IeZ7q63g+w0G9jDHGGGOMMcY0/ts6nQ3hjidjjDHGGGOMMZPijidjjDHGGGOMMZPijidjjDHGGGOMMZPijidjjDHGGGOMMZPijidjjDHGGGOMMZPijidjjDHGGGOMMZPijidjjDHGGGOMMZPijidjjDHGGGOMMZPijidjjDHGGGOMMZPijidjjDHGGGOMMZPijidjjDHGGGOMMZPijidj/4cQEQoKCp53NhhjjDHJVFRUoLq62iRx1Wq15HFZy1RSUmKSuJcvX0Z5eblJYjc35kuWLHlmH7Zly5YlkyZNemafZyqXLl1CfHw8zp8/j5KSEsjlcjg6Ohod9+eff8b27dshk8mgVCohCIIEuQWOHDmCcePG4fLly3j06BFcXFxga2trdNy9e/dixowZuHr1KqqqquDm5gZra2uj4+7btw//+Mc/UFlZCZVKBRsbG6NjAsBPP/2E6upq2NvbSxJPY9WqVcjKysKtW7dgbm4OpVIJc3Nzo+N+9913sLS0lKSsNARBwKuvvopXXnkFx48fx9WrV/Ho0SMoFArIZLImxyUiTJ06FZ999hmKi4shl8shl8uNzq9arUZaWhoOHDiAoqIi2NnZwdnZWZK6cfLkSbi5ucHS0tLoWBpVVVVYunQpiouLoVKpjFqn2kpLS/Hqq6+ioKAAcrkcTk5OkqyD0tJS/POf/4STkxOcnZ0lyGmt/Px8/PWvf4W1tTVUKhXMzKQ5x3nz5k3s378f7u7usLOzkyQmAOTm5uJPf/oT7ty5AysrKyiVSknyfOTIEcyfPx95eXmwsrKCm5ubJHH37t2LJUuW4M6dO7C0tJQsvx9//DG2b9+OyspKKJVKydrev/3tb1i/fj3y8/NhY2MDV1dXSbbfzZs3Y9++faiuroZKpYKVlZUEuQXWrFmDgwcPQq1WSxp3+vTp+Oijj3D37l3IZDLJ1sP69etx48YNqFQqyfYXRIT/+Z//wcOHD+Hh4SHJPk0TNzs7G87OzpLW4crKSgQEBGDXrl24cOEC7t27Bzs7O6PbytLSUvj6+mLPnj24dOkSiouL4eDgAAcHB6Pi3rx5EzExMfj+++9RUlICJycnODg4NDmexp07d7Bz507I5XLJ9pUA8PvvvyM7OxtKpVLSY6gffvgBu3btgp2dHdzc3CTL76lTp/Dee+/B0tIS7u7uku2Ddu/ejcjISBw/fhy//PKLJMdPAHDw4EEEBgbio48+wunTp3H9+nVUVVVBoVAYdVx95coVmJubS9aWP42lS5feXrJkyRa9J4ioyQnAUAA/AbgCYO6TXu/v70//LSZPnkwAxOTl5UVJSUmUlZVF33zzDVVWVj51TLVaTYGBgQSAnJ2dadSoUfTXv/6VLl68SGq1usl5VavVNHToUJ38ent700svvURbt26l8+fPU01NzVPHrampoT59+ogxzczMyNfXl6ZMmUI7d+6kq1evNinfZWVl5OnpSQBIEATq1asXTZ8+nXbv3k0FBQVPHU/jxx9/JAsLC/Lz86MFCxbQyZMnqbq6usnxNIqKisjV1VVcDzKZjIKDg2nu3LmUnZ1Nd+/ebVLcw4cPk5mZGfXr149ef/11ys3NbVI5Pa6wsJDc3Nx0tgcA1KFDB0pKSqLVq1fT0aNH6cGDB08VNzc3lwRBEON5enpSUlISbdiwgc6ePUtVVVVNym9OTo5OPt3c3Cg2NpZWrlxJJ06coPLy8ibFnT9/PslkMoqKiqL169fT5cuXmxTnccuXLxe3XT8/P5o5cyZ9+umnT70+H7do0SJxHbRp04bGjh1LW7ZsoZ9++smo9iE5OZkAUPv27WnixIn0wQcfGFXPNGJjYwkAOTk5UVxcHK1fv57Onz9vdFumaSN79uxJs2bNooMHD9LDhw+NyqtarabIyEhx/To4OFBERAS9/vrrdPToUSorK2ty3H79+olxHR0dKTIykt544w2j4lZVVVH37t118jtkyBBaunQpHT58mEpKSpoUt6SkhNzd3cXtt2fPnvTHP/6R/vWvf1FeXl6TYhIRPXjwgFQqlZhfJycnioqKomXLlhm1Hq5fv04ymYwAkLm5OQUGBtKf//xn2rdvHxUVFTU5v5p9BQCysLCgPn360KxZsyg7O9uouBcvXhTjavbzI0aMoBUrVlBOTk6T18Pu3bvFmL6+vjRjxgz65JNP6N69e03OKxHR5s2bCQDZ2tpSZGQkrVq1ir799luj90Pz588nQRDI39+f5s+fTzk5OU06Znpcdna23n7N1dWVhg0bRq+99hrt37+f8vPznzrujh079OJ6eHhQbGwsLVu2jA4dOtSk7UK7TQdAbdu2pZSUFNqwYQN9++23Td5nhoeHi8elL730Er377rt0+/btJsXSqKmpIX9/fwJA3bp1oxkzZtD+/fub3NZoVFdXU7du3cR9e0JCAm3atMno/VpFRQV16tSJAJC9vT1FRUXRqlWrKDc316jjPrVaTWFhYXrbQ6dOnSglJYXWrVtHx48ff+q6rFarKSIiQi+uIAjk7e1NKSkptHr1avryyy+fals7c+YMWVpaUkhICK1evZouXLhg1Hp9GgDOkIG+oFD73NMTBMEcwM8AhgC4ASAXQAoRXazvPQEBAXTmzJkmfd6zVF1djXv37qGoqKjedPXqVXz22Wf1xpDJZAgICEBQUBASExPh5+cHoLajX1FRgbKyMjx8+FAnlZWV4ciRI1i5cqVePHd3dwwePFhM7du3F5+rrKx8Yn7Pnz+Pr776qt78yuVy9O3bF0FBQRgzZgw6deqEiooK3Lt3T4xt6PbMmTM4depUvXHd3d0RFBSEoKAgJCQkwMvLC0SEhw8fori4GCUlJTq3muVPPvkEhw4dMhjTx8cHwcHBGDRoEIKDg9GqVat6P18bEeGll17C9u3bxccUCgUiIiIwbNgwREZGQqVS6b2vvLzc4HfXXj58+DB++umnej/b29sbQUFB6N+/PxISEhp1hVytViM0NFSn3JRKJYYOHYphw4YhIiICCoVC5z1VVVUoKChAXl6emO7cuaNzPy8vD7/88ssTh3XY2NhgwYIFmDVrFqysrFBeXo779+/j3r17uH//vs6y5nbnzp3Iz883GM/e3h59+/ZF//79MWDAAAwaNAgWFhYoLS3VW6/aqaioCO+99x6Ki4sNxrW0tIS/vz/69++PgQMHYsSIEU88O69Wq3H37l107txZJ26nTp0QFRWFqKgohISEGDyLSUR49OgRysrKUFpairKyMp1UUFCASZMm6Q37Mjc3h7+/P0JCQhAaGooBAwbonDmuqqpCSUlJvenOnTuYN2+ewe/j7u4u1olBgwaha9euOmd4iQhVVVV49OiRXrp48SJSUlL0Yvbq1Qvh4eEYMmQIBgwYoLcuNDE17Vd5eblOe3b27Fn8+c9/1ourUqn02rLHz3ITEaqrq1FRUYFHjx7p3H7xxReYMWOGzuutra0xYMAADBkyBOHh4ejVq5fO91er1SguLsaDBw/EbVezrLk9d+4c9uzZY3D9WlhYwN/fHwMGDMCAAQPQv39/uLm5oaamBsXFxXoxtdPp06dx4MCBeuP6+fmJcQcOHAhXV1dUV1eLsbTrm3Y6ceIEcnJyDMY1NzdHz549xboWEhICNzc3EBHKysr02lzt+3v27MGRI0cMxu3SpQuCg4PF1KZNGwC1+yBD7YH28sGDB/Hdd981uB769++P/v37Izw8HHK5HGq1GqWlpTr5fDxt374d//73v/ViCoKA7t27i3kdOHAg3N3dAQA1NTV63//xtGXLFoNten1xNfs1Q22Ydvr4449x+/btBteDZl8RExMjXm2tqqoSjxsM3b788su4c+eOTjwzMzP4+flh8ODBBtsc4D/tmaYOa6eSkhIkJCTg/v37Ou9xdnZGaGgowsPDERYWhk6dOjV4paqmpgaVlZWoqqoS91H+/v54+PCh+BoHBwcMHjwYkZGRiIyMRIcOHXRiVFRUoKCgAAUFBcjPzxdvtZcLCgrwzTff4EnHtd7e3njzzTcRFxdXb1zt27y8POTm5jYYEwB69OiBVatWITIyEjU1Nbh//77OccPjxxA3btzARx99VG88W1tb9OnTB0FBQRgxYgT69u0rPqdWq/Ho0SOd8tLcP3XqlF4bCQDdunVDWFgYwsPDERwcbPA4hIhQWVmpt5+oqKjAgQMHMGfOHJ3XW1hYoF+/fuK+onfv3rCwsNCLqdnGtI93NcufffYZsrKy9PLSunVrhIaGivuKtm3b6jxfU1Ojsx/W3h+XlpZi3759eOedd/TiOjo6Ijg4WNwX+/r6wtzcHESE+/fvi9uVdsrLyxOXf/nlF9y6davecgNq2+DExESsWbMGSqUS+fn5uH37Nm7duoXbt2+LSft+Xl7eE4eLKxQKjBs3DnPmzIGbm1uDr9WIj4/H3r17xfvt2rXDsGHDMHz4cISGhko2MutxgiB8S0QBek8Y6o02JgHoB+Cg1v15AOY19J7mfsXzzTffJEdHR70zDk1JNjY2NHbsWDp8+DAtXryY3NzcyM7OTueKkDEpJCSEkpOTyc7OTpJ4Dg4ONHHiRPr6669p7NixZGtrK2nckydPUlxcHMnlcjIzM5MktqenJ82ZM4eGDBlCnp6e5OHhQUqlklxcXEgul5O9vT3JZDKysrIic3PzRsUMCAigRYsW0alTp6hHjx5kbW0tSV5VKhXNnDmTfvjhB/L19aXWrVuTu7s7ubm5kUKhIEdHR7KzsyNra2uysLBo1HZiZmZGQUFBtGzZMjpx4oTOVVdj0gsvvEBr166lgoICys/PJ6VSSVZWVpKthz/96U+UnZ1Nrq6uOmf/jUldu3allStX0rFjx8jLy4tatWpFKpVKZ1uwsbEhS0vLRtdBGxsbGjp0KGVlZdG7775LKpWK7O3tJdt+27ZtS3PnziU3NzeysbGRJKaZmRlFRETQnDlzyMPDgxQKBclkMqPbHWtrawoLC6NXX32VVCoVOTg4NLpOPSn5+/vT1KlTdfJr7Dp2cXGhxMRESk9PJ7lcLlm7GxAQQOvXr6f09HTJ9hUAKDg4mN5++20aOXIk2dvbSxLT3Nychg8fTh9++CFFRUWRo6OjZNtuu3btaOHChRQQECDZvsLW1pbS0tLo8OHD1L17d8nWA1B7FXDVqlXk6ekp2T4TAPXr14/Wrl1LSqWSLC0tJYnZpk0bWrBgAZ06dYpatWpFcrlcstiOjo60cOFCatWqFSkUCsnanbZt29LixYvJ09OTVCoVKRQKsre3J2tr6ybXvU6dOtErr7xCS5cuJblcLkk+vb29ac2aNZSfn0/vv/8+OTg4SBK3W7dulJWVRYWFhbR161bJ8qupw//617/orbfeIpVKRXK5XJL9sbm5OYWEhNDkyZPJ3d2dnJycJNkeHB0dKT4+njIzMyU/7o2IiKCkpCRycXGR7NhMEASKj4+nsLAwSeqZjY0Npaen04kTJ8QRL1J8/8DAQNq2bZs4uic8PJy8vLzEY1+VSkVubm7k4uJCCoWC5HI5OTg4kJ2dXYPfy8bGhoYNG0YbN26ka9euSdqnQj1XPI3peI4G8Het+2kANhp43SQAZwCc8fLykvRLSW3lypUNFryFhQUplUrq0qWLzvAp7dSvXz/asmUL3b9/X4w7d+5cSSqIh4cHTZ8+nU6dOkVqtVpvuK+h/KpUKuratas4ROLxFBYWRjt27NAZFqAZetdQXDc3N/L29tYZ7qVdkcPDw2nnzp06cbWHsjWm8hp63NHRkcaPH09Hjx4Vh/v07t1bkvWr+dzY2Fjatm0bde7cucHXWlpaittDhw4dDD4/atQoys7O1hlGZGiYa1OTk5MTpaam0kcffVRvQyyTyahdu3bUp08fiomJoUmTJlH//v11XmNlZUUpKSl09OhRnWEYDx8+fGIeBEEghUJB7du3JxcXF73nraysKCEhgT799FNx6NDNmzcbVRYeHh7k4+NjsFPt5OREkydPptOnT4t5/uGHHyRbtwCoc+fONHv2bNq0aZMk8RQKBU2cOJGOHj1K1dXV9Omnnzb6vWZmZvXuwAICAuitt94Sh1MZGhrW1NSnTx9au3Yt/fbbb7RhwwZJYjo6OlJmZiZ9/vnnVFlZSUuXLpU0v2vWrKFff/2VZs6c2aj1qlAoyMvLy+DzrVu3prlz59KFCxfEejF+/PgnxrWwsCBXV9d643bs2JGWLl1KV69eFeOOGjXqiXFlMhm1atWK2rVrZ/B5X19fWrduHd25c0eMO3jw4EatO0EQxKGrhrbdl19+WTygIiLy8/NrVFl7eXlRmzZtDD4/aNAg2rZtGxUXF4v5bd++faPya2FhUW9+NScmv//+ezGuQqFoVFxra+t643bs2JGWLFkiDs2vqal54oGlZl/h7e0tDmV+vExTU1Pp8OHD4n7t/v37ktQHS0tLio6OpnfffZdKSkro2rVrksQFag+G16xZQ7/99hudPXtWsrhWVlY0YsQI2rZtG+3bt6/B13l6elKvXr0oMjKS0tLSdIZ0A7X7kbS0NPrqq6909m179+5tdNzU1FRycnLSeY2trS2NGzdOPB7T2LZtW4PfTbO/7NChAwUEBBjsFHTt2pVWrVpFt27dEuOuXbtWsu1h+PDhtH37drp//z4tXLhQkrhmZmY0ePBg2rx5M+Xl5dG0adMkievp6UkzZ86k3NxcUqvVlJqaKknc3r1707p16+jGjRtERBQTE1Pva11cXKhr164UEhJCiYmJNHLkSL3XdO/enTZs2KA3DDY4ONhgTIVCQS+++CKFh4dTWloazZ49myZMmKC3jU2YMIG+/fZbepyPj48k60FTdsHBwbR27Vqjh+drQz0dT93r4U/H0LgK0nuAaAuALUDtUFsjPs/kBg0ahOXLl8PZ2RkuLi5wdnbWSfb29uJwkpycHISEhAAAPDw8kJ6ejszMTHTp0kUvblhYGKytrWFnZwdbW1uDSfPcuXPnkJiYKL7XxcUFo0ePRnJyMgYOHKgzhDA2NhZt27aFQqHQy6vmh/ua/G7fvh2ZmZkAgPbt2yMzMxMZGRl6QxcAICkpCT179hTjaOJrbrXXQ1ZWljiko2PHjsjMzER6ejq8vLz04qalpYnDOxwcHOq9tbe3x5o1a8QhHZaWlhg+fDjGjh2LESNG6P1IOiMjA2FhYTA3N4e5uTksLCzE5cfTgQMH8Omnn+q8X6FQIDo6GnFxcYiIiBAnPHj06BFKS0vF7/74erC1tRXXQ2ZmJq5evQoA8Pf3R2ZmJlJSUuDi4qK3HqZNm4by8nKD+X18eceOHfj666913t+6dWvExcUhLi4OgwYNEifH+f333yGTyaBSqXSSdnlpBAYGAgA6d+6MSZMmISMjw+CwDZlMhtdeew2Ojo5QKBRwcnISbzXLDg4OMDMzAxHBz88PhYWFAIC+ffsiIyMDSUlJekOCXVxcsHjxYp11+njSDP+oqalB586dcffuXZiZmSEyMhKZmZmIiYnR2xaUSiXmzJmjsy4tLCx0lrVv582bJ+ZXw9/fH/Hx8YiLi4OPjw8EQcDNmzdx69Yt2NnZPTGZm5vD19cXRUVFAAA7OzvExsYiJSUFEREROhOVdOnSBa+99po4WYWhpKkX5eXlaNOmjThEukOHDkhNTcWYMWPg7e2t8x169OiBBQsWwMbGpsEkk8lQWlqKYcOG6czcGBgYiMTERIwePVqnjQgMDMTixYsNtmEymUzn/u3btzF48GDxvba2toiJiUFycjIiIyN1yi44OFjMr7W1tZg/zbL27dWrVzF+/Hid79u3b18kJCRg9OjROm1PVFQUnJ2dxQmZnJycxGXNraZ+7N27F/Hx8WJeR40ahfT0dISGhuoN3Y6Pj0fHjh31YmonmUwGQRCwbds2jBs3DkDtTxqSkpKQkZGBfv366dXLlJQUBAQE6NQx7Tonl8vFiSbWrVuHmTNnitv92LFjkZGRAV9fXzwuMzMT4eHh4vak3eZq37ezs8Py5cuxaNEiALVDmKOjo5GamoqoqCi9SXamTJmCoqIinTxq3zo6OorD7qZNm4aNGzeK225GRgbS0tJ0fjai8eqrr+Lhw4cG86mdrK2tMX78eGzbtg1A7RC60aNHIzU1FYMGDdKbUGTevHkgonrjaT7P2toaI0eOFIdeu7i4IDk5GampqejTp49OuZmZmeGNN96ATCartz3T3lcEBQWJQ2IHDhyIzMxMjB49Wm/Yo52dHRYsWKBzfKBpYx5/zNbWFtHR0Th37pyYp9DQUKSkpCA+Pl5n4jC1Wo158+aJ9VUmkzWYoqOjce3aNfH9vXr1QlJSEhITE3XKztLSEnPnzoWlpSWsrKzqvbWysoKFhQUmTJggtpFAbZ0bNmwYRo0ahWHDhonr4/bt21i2bBnc3NygVCqhVCrFZUdHR52yKCgoQOvWrQHUtoETJ07E2LFj9fY/mueXL18uxtK+fTzutWvXsHPnTgBAQEAAJk6ciOTkZINDVQMCAvDGG2/oHT9pluVyudieXLx4ES+++CIAwMnJCSkpKcjMzETv3r312oa+ffti4cKFYrlo2m9D92/cuCG2ZUDtcNjw8HAkJiYiLi5OZ31ojmOftK+wsbHBjz/+iAkTJojvNTMzQ0hICBISEjBy5EgolUrxuaioKHEiS0PHutrp5MmT4vEpUNueJSQkIDk5GUFBQTr1eOTIkXjhhRfEumBvb1/v8r59+6A9oWmXLl0wZswYJCcno3PnzjrrNz09HSEhIeI2plKpoFQq4erqqjd0ePHixdi9ezdsbW2RnJyMSZMmITAw0OBw88mTJyMhIQEeHh5o1aoVPDw84O7ubnCynylTpgAAunbtipdffhnp6elwcnLSex0AjB8/Hvn5+TAzM4OZmRnMzc3F5cfT559/jqNHj+q839bWFpGRkYiNjcXw4cPh6upq8HNMwlBvtDEJ/4VDbZ9GWloajR49mvbv39/kH4AbEhcXR46OjpSRkSFeDZBCaGgoZWRk0LFjxySZoIboPz82HzdunN7ZRGNUVVWRl5cXDRgwgDZv3kyFhYWSxdVcmfTy8qI//vGPdOTIEaPLr6CggNq2bUszZ87UObturKKiInEokI+PD82fP5+++eYbo9fzpUuXKCkpiY4cOSLpj8xPnDhBbdq0ofnz59OPP/4oWdzs7GxxKO3Nmzcli3v48GECaocchYaGUlZWFv32229Gx926dStZWlpSTEwM7dq1i0pLSyXIbe1PAdzc3Gjq1Kl6Z9mNsWTJEgJqr16sXr1asuE2U6dOJWtra4qPj6cPPvhAsvWQmZlJACgoKIj+8pe/0O+//y5J3PDwcAoLC6Pt27cbPWGGhmYypOHDh9MHH3zQ5ImwHldTU0M+Pj40evRovREVxqioqKDWrVtTSEgI/f3vf5fs7PeDBw/I09OTJkyYQMePH5ds283PzycHBweKiYmhDz/80OhJpjSuXbtGdnZ2lJiYSPv27aOKigpJ4p49e1YclnrlyhVJYhIRff3112KdWL9+vdETyWgcOnRIvJqzbNky+vnnnyWJ+8knnxAAksvllJqaSrt3727yxEraNm3aRBMmTNAZBSOFlStX0pQpU+jcuXOSxSQimj59Og0dOpR27dolWdtARPTyyy+Tubk5DRkyhLZu3drkCQ4fN2bMGDIzM6PQ0FDatGmTUROOaRsyZAg5OTnR+PHj6YsvvpDkmFqtVpOfnx95eXnR7Nmz6dy5c5JsE1VVVRQdHU2bNm0yesJAbZWVlfSHP/xBb9SZsSoqKsTRJkqlkiZMmEDZ2dmStZUNgQkmF7JA7eRCYQBuonZyoTFEdKG+97SUyYUao7i4WJK/UNFWWVmJAwcOICIiQtKpj9VqNcrKyiSZqlubZrIAKadEB4CioiI8ePDA4JlwY5w6dQqff/454uLi0KtXL8mm7S4pKYGNjY2kf8sBANnZ2bh06RLi4uLwwgsvSBaXiCT77tq6RBR1AAAHXklEQVTy8/Ph6uoq2bTlGoWFhZJOC6/xl7/8RbzabejKdFPl5OSgR48eBs+yG+Ps2bPo3r27pNsZEWH79u0ICQlBu3btJI27Z88ehIeHS9pOVlZW4u2330Z0dDQ8PT0li6tWq3Hz5k1xshypVFZWoqioSJzURiqayUSk/AscoLbtLS0tNThixRgPHjyQ/K+hgNq/pLC2tpb8bP3169fh6OgoyV9CadNcHZa6jTx9+jTc3d0NjmAyxqFDh9CmTRt07dpV0rhbtmxBmzZtEBYWJtlf1QC19VjqdWvKuPfu3ZN8P6FWq7Fz505ERUU1evKZxqioqMA777yDmJgYg5MwNtXDhw9x5MgRvdFAxiouLsb333+vd8XUWKY6fjKVw4cP44svvkBsbCz69Okj2d8iNUZ9kws1ueNZF3QYgLcAmAP4BxEtb+j1/00dT8YYY4wxxhhjuurreBrzG08Q0WcA6v9PEcYYY4wxxhhj/+dJP3aAMcYYY4wxxhjTwh1PxhhjjDHGGGMmxR1PxhhjjDHGGGMmxR1PxhhjjDHGGGMmxR1PxhhjjDHGGGMmxR1PxhhjjDHGGGMmxR1PxhhjjDHGGGMmxR1PxhhjjDHGGGMmxR1PxhhjjDHGGGMmxR1PxhhjjDHGGGMmxR1PxhhjjDHGGGMmxR1PxhhjjDHGGGMmxR1PxhhjjDHGGGMmxR1PxhhjjDHGGGMmxR1PxhhjjDHGGGMmxR1PxhhjjDHGGGMmxR1PxhhjjDHGGGMmxR1PxhhjjDHGGGMmxR1PxhhjjDHGGGMmxR1PxhhjjDHGGGMmxR1PxhhjjDHGGGMmxR1PxhhjjDHGGGMmxR1PxhhjjDHGGGMmxR1PxhhjjDHGGGMmxR1PxhhjjDHGGGMmxR1PxhhjjDHGGGMmJRDRs/swQSgA8Nsz+8CmcQVw93lngj0VLrOWicutZeJya3m4zFomLreWicut5eEyk15bInJ7/MFn2vFsCQRBOENEAc87H6zxuMxaJi63lonLreXhMmuZuNxaJi63lofL7NnhobaMMcYYY4wxxkyKO56MMcYYY4wxxkyKO576tjzvDLCnxmXWMnG5tUxcbi0Pl1nLxOXWMnG5tTxcZs8I/8aTMcYYY4wxxphJ8RVPxhhjjDHGGGMmxR3POoIgDBUE4SdBEK4IgjD3eeeHNY4gCL8KgvCDIAj/FgThzPPODzNMEIR/CIKQLwjCea3HnAVB+EIQhMt1t4rnmUemq54yWyIIws26+vZvQRCGPc88Mn2CILQRBOGoIAiXBEG4IAjC9LrHub41Uw2UGde3ZkwQBBtBEL4RBOG7unJbWvc417VmrIFy4/r2DPBQWwCCIJgD+BnAEAA3AOQCSCGii881Y+yJBEH4FUAAEfH/LzVjgiAEAygF8A4Rdat7bBWAIiL6f3UnexRENOd55pP9Rz1ltgRAKRGteZ55Y/UTBMEDgAcRnRUEwQHAtwDiAGSC61uz1ECZJYLrW7MlCIIAwI6ISgVBsARwAsB0ACPBda3ZaqDchoLrm8nxFc9agQCuENFVIqoEsAtA7HPOE2P/NYjoKwBFjz0cC2B73fJ21B5osWainjJjzRwR3Sais3XLJQAuAWgNrm/NVgNlxpoxqlVad9eyLhG4rjVrDZQbewa441mrNYDrWvdvgBv9loIAHBIE4VtBECY978ywp6IiottA7YEXAOVzzg9rnKmCIHxfNxSXh5A1Y4IgtAPQC8BpcH1rER4rM4DrW7MmCIK5IAj/BpAP4Asi4rrWAtRTbgDXN5PjjmctwcBjfPajZehPRH4AogC8Ujc8kDFmGpsAdATQE8BtAGufb3ZYfQRBsAfwMYAZRFT8vPPDnsxAmXF9a+aIqIaIegLwBBAoCEK3550n9mT1lBvXt2eAO561bgBoo3XfE8Ct55QX9hSI6FbdbT6APagdNs1ahry63zZpfuOU/5zzw56AiPLqdthqAFvB9a1Zqvvd0scA3iWi3XUPc31rxgyVGde3loOI7gM4htrfCXJdayG0y43r27PBHc9auQA6C4LQXhAEKwDJAPY95zyxJxAEwa5uIgYIgmAHIALA+YbfxZqRfQAy6pYzAHzyHPPCGkFzMFUnHlzfmp26iTPeBnCJiNZpPcX1rZmqr8y4vjVvgiC4CYLgVLcsAxAO4EdwXWvW6is3rm/PBs9qW6du2uS3AJgD+AcRLX/OWWJPIAhCB9Re5QQACwDvcbk1T4IgvA8gBIArgDwArwHYC+BDAF4AfgeQQEQ8mU0zUU+ZhaB2GBIB+BXAHzS/ZWLNgyAIAwAcB/ADAHXdw/NR+5tBrm/NUANllgKub82WIAg9UDt5kDlqL+R8SESvC4LgAq5rzVYD5bYDXN9MjjuejDHGGGOMMcZMiofaMsYYY4wxxhgzKe54MsYYY4wxxhgzKe54MsYYY4wxxhgzKe54MsYYY4wxxhgzKe54MsYYY4wxxhgzKe54MsYYY4wxxhgzKe54MsYYY4wxxhgzKe54MsYYY4wxxhgzqf8Psd2WJfQxfUUAAAAASUVORK5CYII=\n",
       "text/plain": [
        "<Figure size 1152x432 with 1 Axes>"
       ]
@@ -153,18 +154,16 @@
    "metadata": {},
    "outputs": [
     {
-     "data": {
-      "image/png": "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\n",
-      "text/latex": [
-       "$\\displaystyle \\left( 152, \\  52, \\  9\\right)$"
-      ],
-      "text/plain": [
-       "(152, 52, 9)"
-      ]
-     },
-     "execution_count": 10,
-     "metadata": {},
-     "output_type": "execute_result"
+     "ename": "IndexError",
+     "evalue": "index 50 is out of bounds for axis 1 with size 50",
+     "output_type": "error",
+     "traceback": [
+      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
+      "\u001b[0;31mIndexError\u001b[0m                                Traceback (most recent call last)",
+      "\u001b[0;32m<ipython-input-10-24f4d5c3e55e>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[1;32m      8\u001b[0m \u001b[0;31m#Initialize mappings\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      9\u001b[0m \u001b[0mmapping\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mSparseLbMapper\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mmethod\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mstencil\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mdomain_size\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mflag_arr\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mflags\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m'fluid'\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;36m0\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;36m0\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 10\u001b[0;31m \u001b[0mindex_arr\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mmapping\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mcreate_index_array\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;36m0\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m     11\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     12\u001b[0m \u001b[0mpdf_arr\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mnp\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mempty\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mlen\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mmapping\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mlen\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mmethod\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mstencil\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0morder\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;34m'f'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;32m~/Studium/Ba/lbmpy/lbmpy/sparse/mapping.py\u001b[0m in \u001b[0;36mcreate_index_array\u001b[0;34m(self, ghost_layers)\u001b[0m\n\u001b[1;32m    176\u001b[0m                     \u001b[0;31m#print(\"at border\")\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    177\u001b[0m                     \u001b[0mresult\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mappend\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mpdf_index\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mown_cell_idx\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mdirection_idx\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mlen\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 178\u001b[0;31m                 \u001b[0;32melif\u001b[0m \u001b[0mflag_arr\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mtuple\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0minv_neighbor_cell\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m]\u001b[0m \u001b[0;34m&\u001b[0m \u001b[0mfluid_boundary_mask\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    179\u001b[0m                     \u001b[0mneighbor_cell_idx\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mcell_idx\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mtuple\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0minv_neighbor_cell\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    180\u001b[0m                     \u001b[0mresult\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mappend\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mpdf_index\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mneighbor_cell_idx\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mdirection_idx\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mlen\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;31mIndexError\u001b[0m: index 50 is out of bounds for axis 1 with size 50"
+     ]
     }
    ],
    "source": [
@@ -188,7 +187,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 11,
+   "execution_count": null,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -210,7 +209,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 12,
+   "execution_count": null,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -259,7 +258,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 13,
+   "execution_count": null,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -288,7 +287,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 14,
+   "execution_count": null,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -298,7 +297,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 15,
+   "execution_count": null,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -312,7 +311,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 16,
+   "execution_count": null,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -331,26 +330,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 17,
+   "execution_count": null,
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<video controls width=\"80%\">\n",
-       " <source 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type=\"video/mp4\">\n",
-       " Your browser does not support the video tag.\n",
-       "</video>"
-      ],
-      "text/plain": [
-       "<IPython.core.display.HTML object>"
-      ]
-     },
-     "execution_count": 17,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "outputs": [],
    "source": [
     "def run():\n",
     "    result = dh.gather_array('velField')\n",
diff --git a/lbmpy_tests/test_sparse_lbm_parallel_only.ipynb b/lbmpy_tests/test_sparse_lbm_parallel_only.ipynb
index 868a102710035d2eb762d236a6a1a8f2ba11de1a..ab2eaf042290aac48a86d625e064fd32390b743a 100644
--- a/lbmpy_tests/test_sparse_lbm_parallel_only.ipynb
+++ b/lbmpy_tests/test_sparse_lbm_parallel_only.ipynb
@@ -99,7 +99,7 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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\n",
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\n",
       "text/plain": [
        "<Figure size 1152x432 with 2 Axes>"
       ]
@@ -118,7 +118,7 @@
     "}\n",
     "flag_arr = np.zeros(arr_size, dtype=np.uint16)\n",
     "flag_arr.fill(flags['fluid'])\n",
-    "flag_arr[3,1] = 2\n",
+    "#flag_arr[3,1] = 2\n",
     "#flag_arr[0,4] = 2\n",
     "#flag_arr[:, 0] = 2\n",
     "plt.scalar_field(flag_arr)\n",
@@ -185,61 +185,64 @@
    },
    "outputs": [
     {
-     "data": {
-      "text/plain": [
-       "[[[25, 29, 32], [], [], [], [105, 108], [120, 124], [], []],\n",
-       " [[], [43, 47, -1], [], [], [], [], [142, -1], [157, 161]],\n",
-       " [[], [], [62, 63], [], [100], [], [139], []],\n",
-       " [[], [], [], [-1, 89], [], [-1], [], [165]],\n",
-       " [[], [], [], [], [101], [], [], []],\n",
-       " [[], [], [], [], [], [127], [], []],\n",
-       " [[], [], [], [], [], [], [138], []],\n",
-       " [[], [], [], [], [], [], [], [-1]]]"
-      ]
-     },
-     "execution_count": 10,
-     "metadata": {},
-     "output_type": "execute_result"
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\n",
+      " New direction: (0, 1) ,  1\n",
+      "(1, 2) 6\n",
+      "(2, 2) 10\n",
+      "(3, 2) 14\n",
+      "\n",
+      " New direction: (0, -1) ,  2\n",
+      "(1, 1) 5\n",
+      "(2, 1) 9\n",
+      "(3, 1) 13\n",
+      "\n",
+      " New direction: (-1, 0) ,  3\n",
+      "(1, 1) 5\n",
+      "(1, 2) 6\n",
+      "\n",
+      " New direction: (1, 0) ,  4\n",
+      "(3, 1) 13\n",
+      "(3, 2) 14\n",
+      "\n",
+      " New direction: (-1, 1) ,  5\n",
+      "(1, 1) 5\n",
+      "(1, 2) 6\n",
+      "(2, 2) 10\n",
+      "(3, 2) 14\n",
+      "\n",
+      " New direction: (1, 1) ,  6\n",
+      "(1, 2) 6\n",
+      "(2, 2) 10\n",
+      "(3, 1) 13\n",
+      "(3, 2) 14\n",
+      "\n",
+      " New direction: (-1, -1) ,  7\n",
+      "(1, 1) 5\n",
+      "(1, 2) 6\n",
+      "(2, 1) 9\n",
+      "(3, 1) 13\n",
+      "\n",
+      " New direction: (1, -1) ,  8\n",
+      "(1, 1) 5\n",
+      "(2, 1) 9\n",
+      "(3, 1) 13\n",
+      "(3, 2) 14\n"
+     ]
     },
     {
      "data": {
       "text/plain": [
-       "[[[(True, (1, 0), (0, 1)), (True, (2, 0), (0, 1)), (False, (3, 0), (0, 1))],\n",
-       "  [],\n",
-       "  [],\n",
-       "  [],\n",
-       "  [(True, (2, 0), (-1, 1)), (True, (3, 0), (-1, 1))],\n",
-       "  [(True, (1, 0), (1, 1)), (False, (2, 0), (1, 1))],\n",
-       "  [],\n",
-       "  []],\n",
-       " [[],\n",
-       "  [(True, (1, 3), (0, -1)), (True, (2, 3), (0, -1)), (True, (3, 3), (0, -1))],\n",
-       "  [],\n",
-       "  [],\n",
-       "  [],\n",
-       "  [],\n",
-       "  [(True, (2, 3), (-1, -1)), (True, (3, 3), (-1, -1))],\n",
-       "  [(True, (1, 3), (1, -1)), (True, (2, 3), (1, -1))]],\n",
-       " [[],\n",
-       "  [],\n",
-       "  [(False, (4, 1), (-1, 0)), (True, (4, 2), (-1, 0))],\n",
-       "  [],\n",
-       "  [(True, (4, 1), (-1, 1))],\n",
-       "  [],\n",
-       "  [(False, (4, 2), (-1, -1))],\n",
-       "  []],\n",
-       " [[],\n",
-       "  [],\n",
-       "  [],\n",
-       "  [(True, (0, 1), (1, 0)), (True, (0, 2), (1, 0))],\n",
-       "  [],\n",
-       "  [(True, (0, 1), (1, 1))],\n",
-       "  [],\n",
-       "  [(True, (0, 2), (1, -1))]],\n",
-       " [[], [], [], [], [(False, (4, 0), (-1, 1))], [], [], []],\n",
-       " [[], [], [], [], [], [(True, (0, 0), (1, 1))], [], []],\n",
-       " [[], [], [], [], [], [], [(True, (4, 3), (-1, -1))], []],\n",
-       " [[], [], [], [], [], [], [], [(True, (0, 3), (1, -1))]]]"
+       "[[[26, 30, 34], [], [], [], [110, 114], [126, 130], [], []],\n",
+       " [[], [45, 49, 53], [], [], [], [], [149, 153], [165, 169]],\n",
+       " [[], [], [65, 66], [], [105], [], [146], []],\n",
+       " [[], [], [], [93, 94], [], [133], [], [174]],\n",
+       " [[], [], [], [], [106], [], [], []],\n",
+       " [[], [], [], [], [], [134], [], []],\n",
+       " [[], [], [], [], [], [], [145], []],\n",
+       " [[], [], [], [], [], [], [], [173]]]"
       ]
      },
      "execution_count": 10,
@@ -250,26 +253,73 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "send short [[25, 29, 32, 105, 108, 120, 124], [43, 47, 142, 157, 161], [62, 63, 100, 139], [89, 165], [101], [127], [138], []] \n",
       "\n",
-      "pia [[23, 0, 0], [27, 0, 1], [103, 0, 3], [107, 0, 4], [118, 0, 5], [45, 1, 0], [49, 1, 1], [144, 1, 2], [159, 1, 3], [163, 1, 4], [74, 2, 1], [111, 2, 2], [78, 3, 0], [154, 3, 1], [114, 5, 0], [151, 6, 0]] \n",
+      " New direction: (0, 1) ,  1\n",
+      "(1, 0) 4\n",
+      "(2, 0) 8\n",
+      "(3, 0) 12\n",
       "\n",
-      "bb [[52, 32], [147, 124], [77, 62], [115, 139], [155, 101]] \n",
-      "\n"
+      " New direction: (0, -1) ,  2\n",
+      "(1, 3) 7\n",
+      "(2, 3) 11\n",
+      "(3, 3) 15\n",
+      "\n",
+      " New direction: (-1, 0) ,  3\n",
+      "(4, 1) 17\n",
+      "(4, 2) 18\n",
+      "\n",
+      " New direction: (1, 0) ,  4\n",
+      "(0, 1) 1\n",
+      "(0, 2) 2\n",
+      "\n",
+      " New direction: (-1, 1) ,  5\n",
+      "(2, 0) 8\n",
+      "(3, 0) 12\n",
+      "(4, 0) 16\n",
+      "(4, 1) 17\n",
+      "\n",
+      " New direction: (1, 1) ,  6\n",
+      "(0, 0) 0\n",
+      "(0, 1) 1\n",
+      "(1, 0) 4\n",
+      "(2, 0) 8\n",
+      "\n",
+      " New direction: (-1, -1) ,  7\n",
+      "(2, 3) 11\n",
+      "(3, 3) 15\n",
+      "(4, 2) 18\n",
+      "(4, 3) 19\n",
+      "\n",
+      " New direction: (1, -1) ,  8\n",
+      "(0, 2) 2\n",
+      "(0, 3) 3\n",
+      "(1, 3) 7\n",
+      "(2, 3) 11\n"
      ]
+    },
+    {
+     "data": {
+      "text/plain": [
+       "[[[24, 28, 32], [], [], [], [108, 112], [124, 128], [], []],\n",
+       " [[], [47, 51, 55], [], [], [], [], [151, 155], [167, 171]],\n",
+       " [[], [], [77, 78], [], [117], [], [158], []],\n",
+       " [[], [], [], [81, 82], [], [121], [], [162]],\n",
+       " [[], [], [], [], [116], [], [], []],\n",
+       " [[], [], [], [], [], [120], [], []],\n",
+       " [[], [], [], [], [], [], [159], []],\n",
+       " [[], [], [], [], [], [], [], [163]]]"
+      ]
+     },
+     "execution_count": 10,
+     "metadata": {},
+     "output_type": "execute_result"
     }
    ],
    "source": [
     "parallel_mapper = SparseLbCommunicationMapper(mapping, dh, pdf_field)\n",
     "parallel_mapper.create_packages()\n",
-    "parallel_mapper.send()\n",
     "parallel_mapper.receive_here()\n",
-    "parallel_mapper.create_index_array()\n",
-    "print(\"send short\", parallel_mapper._send, \"\\n\")\n",
-    "\n",
-    "print(\"pia\", parallel_mapper._parallel_index_array, \"\\n\")\n",
-    "\n",
-    "print(\"bb\", parallel_mapper._bounce_back_index_array, \"\\n\")"
+    "parallel_mapper.create_index_array()"
    ]
   },
   {
@@ -312,7 +362,8 @@
        "       [135., 136., 137., 138., 139., 140., 141., 142., 143.],\n",
        "       [144., 145., 146., 147., 148., 149., 150., 151., 152.],\n",
        "       [153., 154., 155., 156., 157., 158., 159., 160., 161.],\n",
-       "       [162., 163., 164., 165., 166., 167., 168., 169., 170.]])"
+       "       [162., 163., 164., 165., 166., 167., 168., 169., 170.],\n",
+       "       [171., 172., 173., 174., 175., 176., 177., 178., 179.]])"
       ]
      },
      "execution_count": 12,
@@ -332,10 +383,10 @@
     {
      "data": {
       "text/plain": [
-       "array([[  0.,   1.,   2.,   3.,   4.,   5., 123.,   7.,   8.],\n",
-       "       [  9.,  10.,  11.,  12.,  48.,  14.,  61.,  16.,  17.],\n",
-       "       [ 18.,  19.,  20.,  21., 121.,  23.,  24.,  25., 125.],\n",
-       "       [ 27.,  28.,  29.,  30.,  31.,  32.,  33.,  34.,  59.],\n",
+       "array([[  0.,   1.,   2.,   3.,   4.,   5., 132.,   7.,   8.],\n",
+       "       [  9.,  10.,  11.,  12., 121.,  14., 123.,  16.,  17.],\n",
+       "       [ 18.,  19.,  20.,  21., 130.,  23.,  24.,  25., 134.],\n",
+       "       [ 27.,  28.,  29.,  30.,  31.,  32.,  33.,  34., 125.],\n",
        "       [ 36.,  55.,  38.,  39.,  40.,  41.,  60.,  43.,  44.],\n",
        "       [ 45.,  46.,  47.,  48.,  49.,  50.,  51.,  52.,  53.],\n",
        "       [ 54.,  55.,  56.,  57.,  58.,  59.,  60.,  61.,  62.],\n",
@@ -344,13 +395,14 @@
        "       [ 81.,  82.,  83.,  84.,  85.,  86.,  87.,  88.,  89.],\n",
        "       [ 90.,  91.,  92.,  93.,  94.,  95.,  96.,  97.,  98.],\n",
        "       [ 99., 100.,  83., 102., 103., 104., 105.,  88.,  89.],\n",
-       "       [108., 118., 110., 111., 112., 122., 114., 115., 116.],\n",
+       "       [108., 127., 110., 111., 112., 131., 114., 115., 116.],\n",
        "       [117., 118., 119., 120., 121., 122., 123., 124., 125.],\n",
-       "       [126., 127., 118., 129., 130., 131., 132.,  96., 134.],\n",
-       "       [135., 136., 137., 138., 139.,  59., 141., 142., 143.],\n",
-       "       [144., 145., 146.,  48., 148.,  50., 150., 151., 152.],\n",
-       "       [153., 154., 155.,  57., 157., 158., 159.,  61., 161.],\n",
-       "       [162., 163., 164., 165., 166., 167., 168.,  52., 170.]])"
+       "       [126., 127., 128., 129., 130., 131., 132., 133., 134.],\n",
+       "       [135., 136., 119., 138., 139., 140., 141., 124., 143.],\n",
+       "       [144., 145., 146., 147., 148.,  59., 150., 151., 152.],\n",
+       "       [153., 154., 155.,  48., 157.,  50., 159., 160., 161.],\n",
+       "       [162., 163., 164.,  57., 166., 167., 168.,  61., 170.],\n",
+       "       [171., 172., 173., 174., 175., 176., 177.,  52., 179.]])"
       ]
      },
      "execution_count": 13,