Repository: OceanParcels/Parcels (language: python)

Issue:
Implement writing of Fields in-step with ParticleSets
As we are implementing support for Particle-Field interaction (see #1045) with @fedeguerr, we also require a functionality to write a `Field`, at least in Scipy mode, at the same `outputdt` as the `ParticleSet`. This will not be fast, but will be necessary for post-simulation analysis of the interaction between the particles and the tracer.


Discussion / hints:

Fix patch:
diff --git a/parcels/examples/tutorial_particle_field_interaction.ipynb b/parcels/examples/tutorial_particle_field_interaction.ipynb
index bda8e0162..ea78c3fd6 100644
--- a/parcels/examples/tutorial_particle_field_interaction.ipynb
+++ b/parcels/examples/tutorial_particle_field_interaction.ipynb
@@ -7,13 +7,15 @@
    "source": [
     "# Particle-Field interaction example\n",
     "\n",
-    "This notebook illustrates a simple way to make particles interact with a ``` Field```  object and modify it.\n",
+    "This notebook illustrates a simple way to make particles interact with a ``` Field```  object and modify it. The ``` Field``` will thus change at each step of the simulation, and will be written using the same time resolution as the particle outputs, in as many ```netCDF``` files.\n",
     "\n",
     "The concept is similar to that of [Field sampling](https://nbviewer.jupyter.org/github/OceanParcels/parcels/blob/particle_interaction_prototype/parcels/examples/tutorial_sampling.ipynb): here instead, on top of reading the field value at their location, particles are able to alter it as defined in the ```Kernel```. To do this, it is important to keep in mind that:\n",
+    "\n",
     "- Particles have to be defined as ```ScipyParticles```\n",
-    "- ```Field``` values can be stored at the end of the run only, and not at each ```dt``` (at the moment — functionality in development)\n",
+    "- ```Field``` writing at each ```outputdt``` is not default and has to be enabled\n",
+    "- The time of the ```Field``` to be saved has to be updated within a ```Kernel```\n",
     "\n",
-    "In this example, particles will carry a tracer and release it into a clean ```Field``` during their advection by surface currents. To show how can particles interact with a ```Field``` and alter it, the release of such tracer is modelled here with a discretized version of the mass transfer equation, defined as follows:\n",
+    "In this example, particles will carry a tracer and release it into a clean ```Field``` during their advection by surface currents. To show how can particles interact with a ```Field``` and alter it, the exchange of such tracer is modelled here with a discretized version of the mass transfer equation, defined as follows:\n",
     "\n",
     "\\begin{equation}\n",
     "\\Delta c_{particle}(t) = aC_{field}(t-1) - bc_{particle}(t-1)\n",
@@ -41,6 +43,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
+    "%matplotlib inline\n",
     "from parcels import Variable, Field, FieldSet, ParticleSet, ScipyParticle, AdvectionRK4, plotTrajectoriesFile\n",
     "\n",
     "import numpy as np\n",
@@ -54,7 +57,9 @@
    "id": "068921eb",
    "metadata": {},
    "source": [
-    "In this specific example, particles will be advected by surface ocean velocities stored in netCDF files in the folder ```GlobCurrent_example_data```. We will store these in a ```FieldSet``` object, and then add a ```Field``` to it to represent the tracer field. This latter field will be initialized with zeroes, as we assume that this tracer is absent on the ocean surface and released by particles only.\n"
+    "In this specific example, particles will be advected by surface ocean velocities stored in netCDF files in the folder ```GlobCurrent_example_data```. We will store these in a ```FieldSet``` object, and then add a ```Field``` to it to represent the tracer field. This latter field will be initialized with zeroes, as we assume that this tracer is absent on the ocean surface and released by particles only.\n",
+    "\n",
+    "As we are interested in storing this new field during the simulation, we will set its ```.to_write``` method to ```True```. Note that this only works for Fields that consist of only _one_ snapshot in time. "
    ]
   },
   {
@@ -85,7 +90,9 @@
     "\n",
     "fieldC = Field('C', dataC, grid=field_for_size.U.grid) # the new Field will be called C, for tracer Concentration\n",
     "\n",
-    "fieldset.add_field(fieldC) # C field added to the velocity FieldSet"
+    "fieldset.add_field(fieldC) # C field added to the velocity FieldSet\n",
+    "\n",
+    "fieldset.C.to_write = True # enabling the writing of Field C during execution "
    ]
   },
   {
@@ -139,7 +146,9 @@
    "source": [
     "We will now define a new particle class. A ```VectorParticle``` is a ```ScipyParticle``` having a ```Variable``` to store the current tracer concentration ```c``` associated with it. As in this case we want our particles to release a tracer into a clean field, we will initialize ```c``` with an arbitrary value of `100`.\n",
     "\n",
-    "We also need to define the ```Kernel``` that performs the particle-field interaction. In this Kernel, we will implement Eq.1, so that $\\Delta c_{particle}$ can be used to update $c_{particle}$ and $C_{field}$ at the particle location, and thus get their values at the current time $t$.\n"
+    "We also need to define the ```Kernel``` that performs the particle-field interaction. In this Kernel, we will implement Eq.1, so that $\\Delta c_{particle}$ can be used to update $c_{particle}$ and $C_{field}$ at the particle location, and thus get their values at the current time $t$.\n",
+    "\n",
+    "Additionally, the time of ```fieldset.C``` is updated within the ```Interaction``` Kernel, which is an important step to properly write its value."
    ]
   },
   {
@@ -151,17 +160,17 @@
    "source": [
     "class VectorParticle(ScipyParticle):\n",
     "    c = Variable('c', dtype=np.float32, initial=100.) # particle concentration c is initialized with a non-zero value\n",
-    "    \n",
-    "    \n",
-    "def Exchange(particle, fieldset, time):\n",
+    "\n",
+    "def Interaction(particle, fieldset, time):\n",
     "    deltaC = (fieldset.a*fieldset.C[particle]-fieldset.b*particle.c) # the exchange is obtained as a discretized mass transfer equation\n",
     "    particle.c += deltaC\n",
     "    fieldset.C.data[particle.ti,particle.yi,particle.xi] += -deltaC*fieldset.weight # weight, defined as a constant for the FieldSet, acts here as a conversion factor between c_particle and C_field\n",
+    "    fieldset.C.grid.time[0] = time # updating Field C time\n",
     "\n",
-    "    \n",
-    "pset = ParticleSet(fieldset=fieldset, pclass=VectorParticle, lon=[24.5], lat=[-34.8]) # for simplicity, we'll track a single particle here\n",
+    "def WriteInitial(particle, fieldset, time): # will be used to store the initial conditions of fieldset.C\n",
+    "    fieldset.C.grid.time[0] = time\n",
     "\n",
-    "exchangeKernel = pset.Kernel(Exchange)"
+    "pset = ParticleSet(fieldset=fieldset, pclass=VectorParticle, lon=[24.5], lat=[-34.8]) # for simplicity, we'll track a single particle here"
    ]
   },
   {
@@ -204,7 +213,11 @@
    "id": "93994a91",
    "metadata": {},
    "source": [
-    "Now we are going to execute the advection of the particle and the simultaneous release of the tracer it carries. We will thus add the ```exchangeKernel``` defined above to the built-in Kernel ```AdvectionRK4```:"
+    "Now we are going to execute the advection of the particle and the simultaneous release of the tracer it carries. We will thus add the ```interactionKernel``` defined above to the built-in Kernel ```AdvectionRK4```.\n",
+    "\n",
+    "Before running the advection, we will execute the ```pset``` with the ```WriteInitial``` for ```dt=0```: this will write the initial condition of fieldset.C to a ```netCDF``` file.\n",
+    "\n",
+    "While particle outputs will be written in a file named ```interaction.nc``` at every ```outputdt```, the field will be automatically written in ```netCDF``` files named ```interaction_wxyzC.nc```, with ```wxyz``` being the number of the output and ```C``` the ```FieldSet``` variable of our interest. Note that you can use tools like [ncrcat](https://linux.die.net/man/1/ncrcat) (on linux/macos) to combine these separate files into one large ```netCDF``` file after the simualtion."
    ]
   },
   {
@@ -212,14 +225,24 @@
    "execution_count": 7,
    "id": "d20fcba8",
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "WARNING: dt or runtime are zero, or endtime is equal to Particle.time. The kernels will be executed once, without incrementing time\n"
+     ]
+    }
+   ],
    "source": [
-    "output_file = pset.ParticleFile(name='exchange.nc', outputdt=delta(days=1))\n",
+    "output_file = pset.ParticleFile(name=r'interaction.nc', outputdt=delta(days=1))\n",
     "\n",
-    "pset.execute(AdvectionRK4 + exchangeKernel, # the particle will FIRST be transported by currents and THEN interact with the field\n",
+    "pset.execute(WriteInitial, dt=0., output_file=output_file)\n",
+    "\n",
+    "pset.execute(AdvectionRK4 + pset.Kernel(Interaction), # the particle will FIRST be transported by currents and THEN interact with the field\n",
     "             dt=delta(days=1),\n",
-    "             runtime=delta(days=25), # we are going to track the particle and save its trajectory and tracer concentration for 25 days\n",
-    "             output_file = output_file)\n",
+    "             runtime=delta(days=24), # we are going to track the particle and save its trajectory and tracer concentration for 24 days\n",
+    "             output_file=output_file)\n",
     "\n",
     "output_file.close()"
    ]
@@ -246,13 +269,12 @@
       "   34.029205    27.729557    22.651283    18.389206    15.009227\n",
       "   12.286391    10.18622      8.636798     7.034813     5.637848\n",
       "    4.510278     3.6784637    2.9847028    2.3918066    1.9134452\n",
-      "    1.5341984    1.2273587    0.981887     0.78552765   0.63926834\n",
-      "    0.5360086 ]]\n"
+      "    1.5341984    1.2273587    0.981887     0.78552765   0.63926834]]\n"
      ]
     },
     {
      "data": {
-      "image/png": "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\n",
+      "image/png": "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\n",
       "text/plain": [
        "<Figure size 432x288 with 1 Axes>"
       ]
@@ -264,11 +286,11 @@
     }
    ],
    "source": [
-    "pset_traj = netCDF4.Dataset(r'exchange.nc')\n",
+    "pset_traj = netCDF4.Dataset(r'interaction.nc')\n",
     "\n",
     "print(pset_traj['c'][:])\n",
     "\n",
-    "plotTrajectoriesFile('exchange.nc');"
+    "plotTrajectoriesFile('interaction.nc');"
    ]
   },
   {
@@ -276,7 +298,7 @@
    "id": "3fcc6dca",
    "metadata": {},
    "source": [
-    "But what about ```fieldset.C```? We can see that it has been accordingly modified during particle motion:"
+    "But what about ```fieldset.C```? We can see that it has been accordingly modified during particle motion. Using ```fieldset.C``` we can access the field as resulting at the end of the run, with no information about the previous time steps."
    ]
   },
   {
@@ -287,7 +309,7 @@
    "outputs": [
     {
      "data": {
-      "image/png": "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\n",
+      "image/png": "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\n",
       "text/plain": [
        "<Figure size 864x432 with 2 Axes>"
       ]
@@ -307,10 +329,11 @@
     "    import cartopy\n",
     "    import cartopy.crs as ccrs\n",
     "    extent = [10, 33, -37, -29]\n",
+    "    \n",
     "    X = fieldset.U.lon\n",
     "    Y = fieldset.U.lat\n",
     "\n",
-    "    plt.subplots(1,1,figsize=(12, 6))\n",
+    "    plt.figure(figsize=(12, 6))\n",
     "    ax = plt.axes(projection=ccrs.Mercator())\n",
     "    ax.set_extent(extent)\n",
     "\n",
@@ -322,8 +345,8 @@
     "\n",
     "    xx, yy = np.meshgrid(X,Y)\n",
     "\n",
-    "    plt.pcolormesh(xx,yy,(c_results),transform=ccrs.PlateCarree(),vmin=0,)\n",
-    "    cbar=plt.colorbar(ax=ax)\n",
+    "    results = ax.pcolormesh(xx,yy,(c_results),transform=ccrs.PlateCarree(),vmin=0,)\n",
+    "    cbar=plt.colorbar(mappable = results, ax=ax)\n",
     "    cbar.ax.text(.8,.070,'$C_{field}$ concentration', rotation=270, fontsize=12)\n",
     "    \n",
     "except:\n",
@@ -337,8 +360,8 @@
    "source": [
     "When looking at tracer concentrations, we see that $c_{particle}$ decreases along its trajectory (right to left), as it is releasing the tracer it carries. Accordingly, values of $C_{field}$ provided by particle interaction progressively reduce along the particle's route.\n",
     "\n",
-    "Notice that the first particle-field interaction occurs at time $t = 1$, and namely after the execution of the first step of ```AdvectionRK4```, as shown by the unaltered field value at the particle's starting location. \n",
-    "In order to let the particle interact before being advected, we would have to change the order in which the two Kernels are added together in ```pset.execute```, i.e. ```pset.execute(exchangeKernel + AdvectionRK4, ...)```. In this latter case, the interaction would not occur at the particle's final position instead."
+    "Notice that the first particle-field interaction occurs at time $t = 1$ day, and namely after the execution of the first step of ```AdvectionRK4```, as shown by the unaltered field value at the particle's starting location. \n",
+    "In order to let the particle interact before being advected, we would have to change the order in which the two Kernels are added together in ```pset.execute```, i.e. ```pset.execute(interactionKernel + AdvectionRK4, ...)```. In this latter case, the interaction would not occur at the particle's final position instead."
    ]
   },
   {
@@ -349,9 +372,9 @@
    "outputs": [
     {
      "data": {
-      "image/png": "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\n",
+      "image/png": "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\n",
       "text/plain": [
-       "<Figure size 720x432 with 3 Axes>"
+       "<Figure size 720x504 with 3 Axes>"
       ]
      },
      "metadata": {
@@ -363,7 +386,7 @@
    "source": [
     "x_centers, y_centers = np.meshgrid(fieldset.U.lon, fieldset.U.lat)\n",
     "\n",
-    "fig,ax = plt.subplots(1,1,figsize=(10,6),constrained_layout=True)\n",
+    "fig,ax = plt.subplots(1,1,figsize=(10,7),constrained_layout=True)\n",
     "ax.set_facecolor('lightgrey') # For visual coherence with the plot above\n",
     "\n",
     "fieldplot=ax.pcolormesh(x_centers[-28:-17,22:41],y_centers[-28:-17,22:41],c_results[-28:-18,22:40], vmin=0, vmax=0.2,cmap='viridis') \n",
@@ -371,10 +394,76 @@
     "field_cbar = plt.colorbar(fieldplot,ax=ax)\n",
     "field_cbar.ax.text(.6,.070,'$C_{field}$ concentration', rotation=270, fontsize=12)\n",
     "\n",
-    "particle = plt.scatter(pset_traj['lon'][:].data[0,:],pset_traj['lat'][:].data[0,:], c=pset_traj['c'][:].data[0,:],vmin=0, s=100, edgecolor='black')  \n",
+    "particle = plt.scatter(pset_traj['lon'][:].data[0,:],pset_traj['lat'][:].data[0,:], c=pset_traj['c'][:].data[0,:],vmin=0, s=100, edgecolor='white')  \n",
     "particle_cbar = plt.colorbar(particle,ax=ax, location = 'top')\n",
     "particle_cbar.ax.text(40,300,'$c_{particle}$ concentration', fontsize=12);"
    ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "ad657e8f",
+   "metadata": {},
+   "source": [
+    "Finally, to see the ```C``` field in time we have to load the ```.nc``` files produced during the run. In the following plots, particle location and field values are shown at each time step. "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 11,
+   "id": "53b8979a",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": "iVBORw0KGgoAAAANSUhEUgAABsQAAASsCAYAAAA4++0MAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjMuNCwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy8QVMy6AAAACXBIWXMAAAsTAAALEwEAmpwYAAEAAElEQVR4nOzdeZxkZXk24PsBRPaZQREGRFGDiggMCS4xbqhRA8oiGiW4R5FP0WgWk4gf4hrj/rlF0ahEAXEXBEUlYtx1lGERMcYFWQZwYBaQgYGZ9/ujamLbdjfdQ1fX0tflr37Vdc57znlOd3Fb00+/51RrLQAAAAAAADCqNut3AQAAAAAAANBLGmIAAAAAAACMNA0xAAAAAAAARpqGGAAAAAAAACNNQwwAAAAAAICRpiEGAAAAAADASNMQAwAAAAAAYKRpiAEAAAAAADDSNMQAAAAGTFV9pKpaVX2k37UAAACMgi36XQAAAEAvVdWzk+yR5NzW2rlqAQAAmH80xAAAgFH37CSP6H59bv/KSDL9WpYn+Wn3GQAAgNtJQwwAAGDAtNb+Ock/97sOAACAUeEeYgAAAAAAAIw0DTEAAKalqhZW1T9U1deq6pqqurmqLq+qc6vq76rqLv2ucVhV1e5V9aaqWlZVq6tqbVX9vKo+X1XPrKqtJtnukVX1yaq6ovvzWFFV51TVc6pq80m2ObeqWlWdUB3Pr6rvVdWaqrq+qr5TVU/vYc27VNUbq+r87nY3VdUvquqDVXW/2ay5qp5dVS2/u0Thq7r7GfvYY5Lj3KH7vl5aVau6yx/ZHbegqp5WVSdX1YVVdV33PC6tqlOq6sGzUMtHuss+MsXPoG8/fwAAgGHjkokAANymqnpSkn9PsrC76JYk1ydZnGS3dH7Jf36Sr/ajvmFWVc9IcmKSjQ2kdUnWJrln93FIkguSLBu33duSvKz7siVZnc7P51Hdx9Or6rDW2vWTHHrzJJ9NcmiSW5PcmGT7JA9O8uCq2rO19qpZrvkJSU5Nsl130S3dbe+R5K+TPKOqnt9a+49ZqnltkquT7JjkDkl+m+SGcftcP8Fxtkrn/l4P6R5n/PfwZUnGHmfjPu/WfTytql7aWnvnLNQyoX7+/AEAAIaRGWIAAEypqp6W5FPp/LL99CR/lmTr1tqd0vkF+hOTfCPJ0n7VOKyq6qAkJ6XTgPlWkoel871dmGRBkocn+UA6TaOx2x2b3zVDTkyya2ttUXebl6XT4HhUd9vJvCjJI5M8O8kOrbUFSXZPckZ3/Suras9ZrPmBST6dTjPs/Un26m63XZK7J3lvki2T/HtVHTAbNbfWTmut7ZLk291Fb2mt7TLucdkkx9k3yXO6x9kxyZ3TafIlyVVJ3p5O82hRa237JFun0wz8f90xb6uq/Wehlj/Qz58/AADAsNIQAwBgUt1f6H8kSSX519baoa21b7fW1idJa+3G1toXWmsPb62t6mOpQ6eqtkjy7nS+t99M8qjW2jdbaxuSpLW2prX2jdba0a21i8dst3WSV3dfntpae0Fr7aruNr9trb0jyd921z91iubSoiSHt9ZOaq2t7W5/eZKnJLkynX8r/OVs1Nz17nQaXq9trR3TWrtkzPvo1621FyV5ZzpXsXjlbNW8ibZL8lettY+MOc61rbXrul+/r7X2t621721837eOX7bWXppOc2/zdJpOs6qfP38AAIBhpiEGAMBU3pnkjkm+nOSf+1zLJqvOvc4+czu2/exs15TkwHQuFZgkL2utrZtq8Bh/ns5l95LkhEnGvDfJ8u7XR04y5lutta+NX9hauznJ2d2X+45bvUk1V9V+SR6QziUS3zrF0I2XSnzMJPfA2pSaN8WPW2tn3PawSZ3ZfX7oLNQyXj9//gAAAEPLPcQAAJhQVf1pfvcL/b9vrbV+1nNbqurFSVa11j46bvmd0rnP2XmbsM+N235wVor8fQ/pPl/VWpvJ5SY3zvi5rLX23xMNaK2tr6r/THLUmPHjfW+KY1zZfd5x3PJNrXnj+2izJD+tqsnGbWyCbZvkTkmuGbd+U2reFN+6rQFVdc8kL0ynSXivdC4fOv4PDu86C7WM18+fPwAAwNDSEAMAYDKHdp+XtdYu7Gslt6Gqtkpn5tG/JfnouNXXpXN/p1s2YddLus/nb3Jxk9ul+3zpDLe7S/f5itsYd/m48eNdP8W2t3af7zBu+abWvGv3efMkO09zm20mWLYpNW+K8Y2431NVhyc5NZ3ZkxutSXJTkpbOpSEXpdPYm239/PkDAAAMLZdMBABgMvt1n7/T1yqmUFVbVtVmSfZP55f33x8/pntvp5s23q9qhjZ+D5ZtepW3aVNn3k13u17M7JvpPjfO/LqktVbTfPxqlmueiUnfK91Zgx9Jpxn2n0kemWSb1tqC1trOrbVd0rkPV6/18+cPAAAwdDTEAACYzMaZPNfOZKOqendV3VxVf1ZVZ1XVyqpaVVVnVNXu48buWlVvqqrzuuPWVNX3q+qwCfb771V1Y1Xds6o+VlXXJrkhyVeSfLs77GNV1bqPQ8ds99tu42zs/navqndW1f9U1U1VdVVVfa6q9hozbEk6M39+NWa7varqP6rqyqpaW1UXVNWzZvI96tp4j6d7TDnqD22cvbT7lKN+d7m+38xw/1PZ1Jqv6j7fs6p6MWtqLh2UZIckK5M8sbX29dba2nFjdvnDzWZNP3/+AAAAQ8slEwEAmMyG7vNM74O0b5Kbk3wxySeSvDzJA5P8dZJPJXnQmLGHp3MPpi8k+XU69416fpJPVdVDWmtjZ3wtSecyb99O8uUkx6UzS+cX6fyh158lee6Y8f81ZrsLWmsbz2fj/dHO6p7j+7r7uHuSp+f3L9W3X5LzN94/raoek+T0JD9P8v+SrE7yxCQfqarWWvuPaX+XftfE27mqDpjBPbk2jrtrVd17ovtIVdXm6Xxfk+QHM6jptmxqzRvvybVlOj/zj81iTdOx8Wc/6c3LZmBjI+qnrbUbJxnzmB7W0s+fPwAAwNDSEAMAYDI/TvInSR5XVTu01tZMc7t9k2yf5IjW2me6yz7Q/SX9c6rqvq21S7rLP9Jae8/YjavqlHTuUXVQupdArKotkuydTgPsaa2108Zt8/IkF7fWPjZu+cbtPjxm2c7pNLV+leRxrbVrxqx7TbqXmKuqLZPsleT93de7pdPQOz3JURsvwVhV70/yzSR/m2QmDbGvpdOIu2eSt1fVo1tr66ax3VfSmbV3pyQnJPmrCca8IL+7b9epM6jptmxqzUuTnJfOpS1fX1Vnt9YmnblUVTu21q6blYo7Nr53F87CvlZ3n+9dVVu11m4au7KqlmTin8ls1dLPnz8AAMDQcslEAAAm86Hu8+IkZ1TVn3QbTKmq7arqsVX1oap6yMYNqmqPJAuSfGJMM2yjr3Wf775xQWvtt93tNquqBVV15yQ3Jbk1nebXRnt1X39ygmZYpTOTa9kE57Bxu7HrTkinGfG0sc2wbj23jrnX2P3SuS/Zxm2PT+fz83FJFlXVnbv13inJBUn+aILjT6p7nGPTacA9NMk5VfXQjZd2rKodquqR3ctD3m/Mdmu755AkR1bV+7pNvlTVNlX14iTv6K4/rbX2w5nU1aOaW5Jj0pk5eLck36uqJ1fV/87Gq6rdqurpVfWVJP86WzV3XdR9Pqjb2Lw9vpzOLK8dk5y8cX/d+9n9ZXf99b2qpZ8/fwAAgGGmIQYAwIRaa19P8rruy4enM8tnbVVdl84sl7OTPCfJxWM226/7/OH8oY2fPW9IOo2sqnpWVX0nydokq9K539HV6VzJ4Gdjtl3Sff7oBPu9Vzoz0s6bYN3G7ZZ1j7l5kr9McnZr7acTjB9r47mc393uKd3j/E+3zrGPY/K7mT/T1lr7YpJnp9MoemiSbyS5sapWpjMT6WtJjkrnUoNjt3t3krd3X74gyfLuz2V1knem08j7WjqXn5xVt6Pm76dzeclr07kH2SeTrKmqFVX12ySXp/Pznepyg5vqpHQarX+U5Nfd+8X9qvuY0SVBW2s/S/Lm7ssnJbm8qlal874+rfv8kl7W0s+fPwAAwLByyUQAACbVWvu/VXVukhcmeXCSndK599El6dyb6HOttVVjNtnYRPrRBLt7UJJb8rsZMu9K8qIkn0ungXB1Os2EJyT5m/z+rK4l6cxK+voE+92/+7xsgnVL0pnNc2H39e7pzOz5/gRjJ9p2fbfe3ZMsSvKebr0TmXFDLElaa/9RVf+Vzjk/Np0ZdFumc5+yC5N8OslPJtjub6vqjHS+h3+Wzky169P5Pnw0yX+Mme02q25HzV+pqj9Kp4F4cDqz8Bam0xC9OMl3knw+ncsCzma9P6uqA5P8czrvwzvld/8WmvG/iVpr/1RVP05nttw+6TSg/ifJZ5O8Kb97T/asln7+/AEAAIZRde8PDgAAt1tVfTqdWTN3GnsPqKraMZ17dp3bWjuke2nFXyZ5d2vtxeP2cXaSA5Nst/H+VFV1TpK7t9b+4LKEVfW6dC5juLC1tnrcunOS7Npa26v7et8k5yd5VWvtNbdxLv+ZZOfW2t5jtvuH1tpbpv0NAQAAAAaCSyYCADCbNs4Qe/i45f+SZOv87t5Hu3eff++yhVV1dDozjn68sRk2Zr8TzTpLOpffWzm+GTZmu2VjXv86nVlfjxs/sKq2HLdov3SaYElyaTr3NTti4/2yxm278yS1AQAAAAPAJRMBAJgVVbVdknum04D6UFXtnc79op6S5FFJjm2tbWxqXZjOPcNe1d3uhiR/nk6jrGVM86uqdk/ncnAT3SMs6cw0W1RV/5rO5Q1XtdbOGLPdso0DW2urqurDSZ7XnQH2uXQaZPumc/m+h4055o4bt22tra6q96dzebrvVtVp6Vye7m7p3Efr6iRPneG3DAAAAJgjGmIAAMyWfdK5v9grkxyQTvNox3RmWR3aWjt948BuY+rQJO9IZ9bY8iQfT/KaJEvz+82vjbPOJmuIvSXJfZI8P537fJ2V5Iwx2y0bN/6F6dyv6jnpzFy7OZ37Xf3bBMc8f8yyv0mnkXd0kuPTudrClUm+meR9k9QGAAAADAD3EAMAYFZU1THpNJXu3lr7db/rAQAAANjIPcQAAJgt+yVZoxkGAAAADBoNMQAAZst+SX7c7yIAAAAAxtMQAwDgdquqSuceYhf1uxYAAACA8dxDDAAAAAAAgJFmhhgAAAAAAAAjTUMMAAAAAACAkaYhBgAAAAAAwEjTEAMAAAAAAGCkaYgBAAAAAAAw0jTEAAAAAAAAGGkaYgAAAAAAAIw0DTEAAAAAAABGmoYYAAAAAAAAI01DDAAAAAAAgJGmIQYAAAAAAMBI0xADAAAAAABgpGmIAQAAAAAAMNI0xAAAAAAAABhpGmIAAAAAAACMNA0xAAAAAAAARpqGGAAAAAAAACNNQwwAAAAAAICRpiEGAAAAAADASNMQAwAAAAAAYKRpiAEAAAAAADDSNMQAAAAAAAAYaRpiAAAAAAAAjDQNMQAAAAAAAEaahhgAAAAAAAAjTUMMAAAAAACAkaYhBgAAAAAAwEjTEAMAAAAAAGCkaYgBAAAAAAAw0jTEAAAAAAAAGGkaYgAAAAAAAIw0DTEAAAAAAABG2habstGda5e2Lutu35GrJl484/3MeMUM9z8L++l5jT3c/2z9QGbpVHu//5nsu9c/v5lp/fjeTGZIft6th/uesV4fd5Ism/B7MON9z8ZOer//GZ3rkL8P5tO5ztS8+u9+Fo47Kxkxw2P2XL/ee0Pw8+65ntcyyTt2qD8L9fK4s/RfeL8+gs7gADV7aTbx/mftZCeuczb+STbzEmf2PZut78FMf1YTHnaGtczKMTdlfPXuuDM+pxn//GbnvdrLOmfv5zpL5zprP+8/3E/Pv+8zqCWZ+ftpsnp6+p6fdM3g/7ynHj/R2Nn673W2xs+wngn/P21m1fT+XGernpn9rvyHF9x8dmvt8TM6OLBpDbF1WZcH1aN/f2FNPNmsNpvsX0izMz6Tjp8kRDabZD+T/T/2ROMnHTvJMWep9hnVuCn7mWj5jGvs8bnO8Hs/aRNg0v3MQi2zccw+7n/C/Uz2/76T7WPGx5zZ+Mnqmen3YCbnOtMaJx8/yfJJ3sMz3c+s1Nmn78Hk75u5r2f2vu+zNX6m/y3MYP99O6eZjZ+14/bjmH061xntZ9Bqn8Rs1NP7n9/E/8gfqPfBTGuczIxrnGHDapa+9zN7H8ysxkl/6Tdb5zrDJt+Ev4Cbydgpx0+8fLJznWz/k3/EnYVznWT45LXMrMbNZryf3u5/sxn8MnrG+56l8ZPXOMP9zGD5TGuZjWPO7nE33O79z3Tfm8+49pnVuPls7WfSOv9wP5PXMtNjTjJ+knOadPxk3/sZfm8mGj/52Jn+nCZ7f8zS92DS/c/0Z/WHyyevffrvmc74GX4vZ/g9mPTnPeN6pv/f/aTfmxlm02TjJ9/PhIun+B5MMn6C/Ww+yYeDyfcx2fiJl0++/0nGT7r/iSuafD+TjZ94+eaLf3bnCVcAU3LJRAAAAAAAAEaahhgAAAAAAAAjTUMMAAAAAACAkaYhBgAAAAAAwEjTEAMAAAAAAGCkaYgBAAAAAAAw0jTEAAAAAAAAGGkaYgAAAAAAAIw0DTEAAAAAAABGmoYYAAAAAAAAI01DDAAAAAAAgJGmIQYAAAAAAMBI0xADAAAAAABgpGmIAQAAAAAAMNI0xAAAAAAAABhpGmIAAAAAAACMNA0xAAAAAAAARpqGGAAAAAAAACNNQwwAAAAAAICRpiEGAAAAAADASNMQAwAAAAAAYKRpiAEAAAAAADDSNMQAAAAAAAAYaRpiAAAAAAAAjDQNMQAAAAAAAEaahhgAAAAAAAAjTUMMAAAAAACAkaYhBgAAAAAAwEjTEAMAAAAAAGCkaYgBAAAAAAAw0jTEAAAAAAAAGGkaYgAAAAAAAIw0DTEAAAAAAABGmoYYAAAAAAAAI01DDAAAAAAAgJGmIQYAAAAAAMBI0xADAAAAAABgpGmIAQAAAAAAMNI0xAAAAAAAABhpGmIAAAAAAACMNA0xAAAAAAAARpqGGAAAAAAAACNNQwwAAAAAAICRpiEGAAAAAADASNMQAwAAAAAAYKRpiAEAAAAAADDSNMQAAAAAAAAYaRpiAAAAAAAAjDQNMQAAAAAAAEaahhgAAAAAAAAjTUMMAAAAAACAkaYhBgAAAAAAwEjTEAMAAAAAAGCkaYgBAAAAAAAw0jTEAAAAAAAAGGkaYgAAAAAAAIy0aq3NfKOqi5LcNPvlAPTMnZOs6HcRADMku4BhI7eAYSS7gGGzVWvt/v0uAobNFpu43U2ttQNmtRKAHqqqpXILGDayCxg2cgsYRrILGDZVtbTfNcAwcslEAAAAAAAARpqGGAAAAAAAACNtUxtiJ85qFQC9J7eAYSS7gGEjt4BhJLuAYSO3YBNUa63fNQAAAAAAAEDPuGQiAAAAAAAAI01DDAAAAAAAgJE2rYZYVW1WVS+rqkuq6qaquqyq3lpV2/a6QICpVNW9q+o1VfXdqvpNVV1fVcuq6riJMqqq7lNVn6uqlVX126r6RlU9qh+1A2xUVdtU1S+rqlXVuydYL7uAgVBVO1bVW6rqf7r/NvxNVX2tqh42bpzcAvquqrarqldU1YXdfyuuqKpvV9Wzq6rGjZVbwJyqqn+uqk9W1S+6/xb81W2Mn3ZO+X0+TGyLaY57e5KXJPlskrcm2av7ev+qekxrbUOP6gO4Lc9N8qIkpyc5OcktSQ5M8rokf1lVD26trU2SqrpXkm8nuTXJm5KsTvL8JGdX1V+01r7ah/oBkuQ1Se480QrZBQyKqrp7knOTbJfk35P8d5IFSfZNstuYcXIL6Luq2izJF5M8JMlJSd6VZJskRyb5cDq/2/rH7li5BfTDG5Jcl+RHSRZONXATcsrv82EC1VqbekDV3kkuTPLZ1toRY5a/OMk7kxzVWjulp1UCTKKqDkjys9ba6nHLX5fkuCQvbq29u7vsE0mOSPInrbVl3WXbJflxkpuS3LfdVigCzLKq+uMk30/y8nT+ofKe1tqxY9bLLmAgVNU3kuyR5IGtteVTjJNbQN9V1Z+m88vjd7TWXjZm+ZZJLkmyY2ttYXeZ3ALmXFXds7X2i+7XFyXZrrW2xyRjp51Tfp8Pk5vOJROPTFJJ3jFu+QeS3Jjk6bNcE8C0tdaWjm+GdZ3Wfb5/knSnhB+S5NyNHxy629+Q5INJ7p3kAb2tFuD3VdXm6Xym+lKSz0ywXnYBA6GqHp7koUne1FpbXlV3qKptJhgnt4BBsUP3+cqxC1tr65KsSPLbRG4B/bOxGXZbNiGn/D4fJjGdhtgDkmxI5y+X/1dr7aYky+JDATCY7tp9vrr7vG+SOyb5zgRjv9t9lmfAXHtZkvsmOXaS9bILGBQHdZ9/XVVnJFmb5LdV9d9VNfaXKnILGBTfT7Iqycur6ilVdbfu/Xf+JcmfJDmhO05uAYNupjnl9/kwiek0xHZNsqK1dvME665IcufudHOAgdCdcXF8OtdV3jgFfNfu8xUTbLJx2W4TrAPoiaq6R5JXJ3lNa+1XkwyTXcCguE/3+QNJdkzyrCR/nWRdko9W1XO66+UWMBBaayvTmVFxXZJPJLk0nUslvijJEa21D3SHyi1g0M00p/w+HyaxxTTGbJNkov94ks71STeOWTcrFQHcfu9I8uAkr2it/bS7bOMlfSbKs5vGjQGYC/+W5JdJ3jbFGNkFDIrtu8/XJzmwe8mxVNVnk/wiyRuq6qTILWCw3JDkoiSnp3M/sR3TaYidUlWHtta+ErkFDL6Z5pTf58MkptMQuzHJXSZZt9WYMQB9V1WvTefSYye21v5lzKqNOXXHCTaTZcCc6l5e7LFJHt5au2WKobILGBRru8+nbmyGJZ0ZGFV1epJnpjOLTG4BA6Gq9kmnCfay1tr7xiw/NZ0m2Qeq6l6RW8Dgm2lO+X0+TGI6l0y8Mp1plBP9B7dbOtMvdZOBvquqE5K8MsmHkxwzbvXGGylPdKmLjcsmmnoOMKu6n6neluSsJFdV1R9V1R8luXt3yILusoWRXcDguLz7fNUE65Z3nxdFbgGD42Xp/OL3k2MXttZuTHJmOp+99ojcAgbfTHPK7/NhEtNpiP2gO+6BYxdW1VZJliRZOvtlAcxMVb0qyauS/EeS57XW2rghF6YzXfxPJ9j8wd1neQbMha2T7JTk4CQ/G/M4t7v+6d3Xz4vsAgbHxpuy33WCdRuXXRO5BQyOjb8k3nyCdVuMeZZbwKCbaU75fT5MYjoNsdOStCQvHbf8+elca/TkWa4JYEaq6vgkJyT5aJLntNY2jB/TWrshyRlJHllV+43Zdrt0fun8s/zuFz0AvfTbJE+Z4PHC7vovdV+fLruAAfK5dO4f9vRuBiVJqmpxksOS/Ky19j9yCxggF3efnz12YXcW/qFJVib5udwCBt0m5JTf58Mk6g8nUUwwqOpd6dyT57PpXN5nryQvSfKtJI+a6JfPAHOhql6U5N1Jfp3k/yYZn0dXd2+UnO4lyb6f5JYkb0+yJp0PA/skObi1dvZc1Q0wXlXtkeSXSd7TWjt2zHLZBQyEqjo6yfuT/DjJh5JsmeT/JFmc5AmttS93x8ktoO+q6u5JfpTO5VxPTud3WDumk0d7JHlRa+293bFyC5hzVfWM/O7S+S9O57PVW7uvL22tfXTM2BnllN/nw8Sm2xDbPJ2O8tHpfGhYkU6n+fhuhxqgL6rqI0meNcWQr7fWHjlm/F5J3pjkEel80PhRkhNaa1/tYZkAt2myhlh3newCBkJVPSnJy9P55cuGJN9J8urW2rfGjZNbQN9V1b2SHJ/k0Ul2TrI2ybIk72itfWbcWLkFzKmqOjedzJnI7/0+qzt+2jnl9/kwsWk1xAAAAAAAAGBYTeceYgAAAAAAADC0NMQAAAAAAAAYaRpiAAAAAAAAjDQNMQAAAAAAAEaahhgAAAAAAAAjTUMMAAAAAACAkaYhBgAAAAAAwEjTEAMAAAAAAGCkaYgBAAAAAAAw0jTEAAAAAAAAGGkaYgAAAAAAAIw0DTEAAAAAAABGmoYYAAAAAAAAI01DDAAAAAAAgJGmIQYAAAAAAMBI0xADAAAAAADok6rarKpeVlWXVNVNVXVZVb21qradxraLqupvqurL3e3WVtVPq+rEqtp9km0WVNW7quqK7vF+XFX/p6pqkvEHVdW3q+q3VXVdVX2yqu5xe897rlVrrd81AAAAAAAAzEtV9f+SvCTJZ5N8McleSV6c5BtJHtNa2zDFto9P8oUk5yT5zyQrktw/yQuSrEvykNbaxWPGb5nkm0n2T/KuJD9J8hdJDk/y6tbaCeP2/6Qkn0pyfpIPJFmQ5KVJ1ic5oLV25e06+TmkIQYAAAAAANAHVbV3kguTfLa1dsSY5S9O8s4kR7XWTpli+z2SbN5a+/m45Y9J8pUkn26tPXnM8hcmeU+Sl7TW3jVm+aeTPDHJnq21S7vL7pDkV0luTbJ3a+2G7vIlSX6Y5N9ba0dv8snPMZdMBAAAAAAA6I8jk1SSd4xb/oEkNyZ5+lQbt9Z+Nb4Z1l3+1STXpTNbbKy/6u73A+OWvyPJHZI8dcyyRyTZNckHNzbDuvteluTcJE/tNs2GgoYYAAAAAABAfzwgyYYk3x+7sLV2U5Jl3fUzVlULkmyf5OoxyzZL8sdJzuvuf6zvd+sYe7yNX39ngkN8N8kOSe69KfX1g4YYAAAAAABAf+yaZEVr7eYJ1l2R5M7d+37N1CvTmfF10phli5Js3d3v7+ke/9oku42rLRONH7NstwnWDaQt+l0AAAAAAAAweh534Lbt2uvW97uMvvrhBTf/OMnY2VgnttZOHPN6myQTNcMyZrttkqyb7jGr6slJ/i7J2Uk+PO5YuY3jbTPm9VTjbxo3ZuBpiAEAAAAAALPu2uvW5/tn363fZfTV5ot/dlNr7YAphtyY5C6TrNtqzJhpqaqDkpyc5IdJ/rK11sYdK0nuOMXxxh5rqvEzrq3fXDIRAAAAAACgP65M57KIEzWddkvncorTmh1WVY9P8pkkP07y2NbamnFDViZZmwkuc9g9/p3y+5dHvHJMHRPVlkx8OcWBpCEGAAAAAADQHz9Ip1fzwLELq2qrJEuSLJ3OTqrqcUk+m+SSJI9pra0cP6a1tiHJj5LsP0ED7oHdOsYe7wfd5z+d4JAPTrImyX9Pp75BoCEGAAAAAADMupZkwzz/3zSc1v1WvXTc8uenc3+ukzcuqKrFVXXfqvq9+3ZV1WOTfC6d5tSjW2vXTXG8U7v7PXrc8pcmuTXJJ8Ys+3qS5UmeV1XbjTnefkkemeSTrbVbpjy7AeIeYgAAAAAAAH3QWruwqt6T5Niq+kySs5LsleQl6TSkThkz/F+SPCvJgUnOTZKqOiDJ55NUkg8n+YuqGn+Mj415+YEkz0nytqraI8lPkhyU5PAkr2ut/XLMdrdU1d+k07T7RlV9IMkOSV6W5DdJXnX7vwNzR0MMAAAAAACgf16a5FfpzNo6OMmKJO9Kcnz3ModTuX+Srbpfv32SMf/bEGutrauqxyR5XZIj07lv2M+TvDjJe8Zv2Fr7ZFWtTfLKJG9JcnOSc5L8Y2ttaO4fliTVWut3DQAAAAAAwIj5k/22at87+679LqOv7rD45z9srR3Q7zowQwwAAAAAAOiJlvW3OcEJ5sZm/S4AAAAAAAAAeklDDAAAAAAAgJGmIQYAAAAAAMBIcw8xAAAAAABg1rUkG9L6XQYkMUMMAAAAAACAEachxlCrql9V1dqqur6qVlXVt6vqmKrqyXu7qpZU1Q+r6sbu85JeHAcYXX3IrROr6qdVtaGqnt2LYwCjay4zq6ruXVWfr6rfVNV1VXV2Vd1nto8DjLY5zq07V9W3qura7rG+U1V/NtvHAUbbXP8bccxxn1VVraqe18vjAAwSDTFGwRNba9snuXuSNyb5xyT/PtsHqaotk3w+yceSLEpyUpLPd5cDzMSc5FbX+UlemORHPdo/MPrmKrMWJjk9yX2S7Jzk++l89gKYqbnKrRuSPDfJTun8G/Ffk5xRVW5PAczUXP4bMVW1KMk/J/lxr44BMIg0xBgZrbXVrbXTkzw1ybOq6v5JUlUHV9V5VbWmqi6rqhM2blNVZ1bVi8fup6ouqKrDJjjEI9O57947Wms3t9bemaSSPKo3ZwSMujnIrbTW3tNaOyfJTT07EWBe6HVmtda+31r799bada21W5K8Pcl9qupOvTwvYHTNQW7d1Fr7aWttQzr/NlyfTmNsx96dFTDK5uLfiF3/kuSdSVbM+knABDbM8/8xODTEGDmtte8nuTzJw7qLfpvkmen81fHBSf7PmA8FJyV5+sZtq2q/JLslOWuCXe+d5ILW2ti7QF7QXQ6wyXqYWwCzbg4z6+FJrmqtXTsrhQPzVq9zq6ouSOePj05P8sHW2jWzewbAfNPL3KqqByY5IMn7elA6wEDTEGNUXZnuX+W11s5trV3YWtvQWrsgyalJHtEd9/kke1bVnt3Xz0hyWmtt3QT73C7J6nHLVifZftarB+ajXuQWQK/0NLOq6q5J3pPkb3tSPTAf9Sy3Wmv7JtkhyV8l+WavTgCYd2Y9t6pq8yTvTfLi7uxWgHlFQ4xRtVuS65Kkqh5UVV/r3qB9dZJjktw5SVprNyf5RJKnd29WemSSj06yzxvS+UfOWDskub4H9QPzTy9yC6BXepZZVbVTki8neW9r7dQengMwv/T0s1b38omnJvmn7uwMgNurF7n1wnSufvSdnlcPMIA0xBg5VfWAdD40bPzLvFPSuXTF7q21BelMCa8xm5yU5Kgkj05y4xQfCn6cZN+qGrvtvnEDUuB26mFuAcy6XmZW9wbvX05yemvt9T0oH5iH5viz1h2S3PN2Fw3Maz3MrUcnObyqrqqqq5I8JMlbq+rdPTgNSJK0tKxv8/vB4NAQY2RU1Q5V9YQkH0/ysdbahd1V2ye5rrV2U/c6yX81drvuh4QNSd6aqf/y79x0bpL8kqq6Y1Ud213+n7N4GsA8Mge5larasqq2SucfS3eoqq26fzUIMCO9zqyq2iHJ2Um+1Vr7p16cAzC/zEFuPbiqHtr9vLV1Vf1jkp2TfK8X5wOMvjn4N+Kzk+yVZEn3sTTJq5McN3tnATC4/EKMUXBGVV2f5LJ0/g/8bUmeM2b9C5O8pjvm+HSmkY/3H0n2SfKxyQ7SvfbyYencxHRVkucmOcx9e4BNMCe51fXlJGvT+cu/E7tfP/x2VQ/MN3OVWYcneUCS51TVDWMed5uNkwDmlbnKrTumc7/Da5NckeSgJAe31q683WcAzDdz9butVa21qzY+kqxLsqa1tnqWzgNgoFUzZQ9SVc9McnRr7aH9rgVgOuQWMExkFjBs5BYwbOQWg2r//bZsX//iLv0uo68W7HbZD1trB/S7DpIt+l0A9FtVbZPOX9q8t9+1AEyH3AKGicwCho3cAoaN3GLQbYhJOQwGl0xkXquqxyX5TZKr07lBKcBAk1vAMJFZwLCRW8CwkVsA02eGGPNaa+3sJNv2uw6A6ZJbwDCRWcCwkVvAsJFbANNnhhgAAAAAAAAjzQwxAAAAAABg1rUk691DjAGhITbGokWL2q677trvMoAeu/jii1e01nbqdx2zQW7B/DAquSWzYP6QW8AwGZXMSuQWzBejlFswlzTExth1111z2mmn9bsMoMf22WefS/tdw2yRWzA/jEpuySyYP+QWMExGJbMSuQXzxSjlFswl9xADAAAAAABgpJkhBgAAAAAA9MQG9xBjQAzkDLGqem1VXVBVy6rqy1W167j1d6uqG6rq7yfZ/oSquqK7/bKqOmhuKgfmK7kFDBu5BQwTmQUMG7kFAINnIBtiSd7cWtu3tbYkyReSHD9u/duTfPE29vH21tqS7uOsXhQJMIbcAoaN3AKGicwCho3cAoABM5CXTGytrRnzctvkd3Mqq+qwJL9I8ts5LgtgUnILGDZyCxgmMgsYNnILAAbPoM4QS1W9vqouS3JUun9FU1XbJvnHJK+exi6O7U5N/1BVLephqQBJ5BYwfOQWMExkFjBs5BZA568B1rc2rx8Mjr41xKrqq1V10QSPQ5OktXZca233JCcnOba72avTmS5+w23s/t+S3CvJkiTLk7x1ijqOrqqlVbV05cqVt/e0gBEmt4BhMwi5JbOA6RqEzOrWIbeAaZFbADBc+nbJxNbaY6Y59JQkZyZ5VZIHJXlyVb0pycIkG6rqptbau8ft++qNX1fVB9K5VvNkdZyY5MQk2XvvvbVrgUnJLWDYDEJuySxgugYhs7pj5RYwLXILAIbLQN5DrKr2bK39rPvykCSXJElr7WFjxpyQ5IbxHxi66xa31pZ3Xx6e5KLeVgzMd3ILGDZyCxgmMgsYNnILAAbPQDbEkryxqu6TZEOSS5Mcc1sbVNUHk7yvtbY0yZuqakk6lyj9VZIX9K5UgCRyCxg+cgsYJjILGDZyC6BrQ78LgK6BbIi11o6YxpgTxr1+3pivn9GDsgAmJbeAYSO3gGEis4BhI7cAYPBs1u8CAAAAAAAAoJc0xAAAAAAAABhpA3nJRAAAAAAAYLi1tKxP63cZkMQMMQAAAAAAAEachhgAAAAAAAAjTUMMAAAAAACAkeYeYgAAAAAAwOxryXq3EGNAmCEGAAAAAADASNMQAwAAAAAAYKS5ZCIAAAAAADDrWpIN/S4CujTEgIGz5ZZb5k532j4LF+yQzTbfOhvWr82q1Wty7bXXZ926df0uDwAAAACAIeOSicBA2W677fJH99oti+54ZmrlIWlX751aeUgW3fHM/NG9dst2223X7xIBAAAAABgyGmLAwNhyyy1zt913SlY9J7nhTcn6y5Ks7zzf8KZk1XNyt913ypZbbtnvUgEAAAAAGCIumQgMjDvdaftk7anJLcsmHnDLsmTtqbnTjk/I8qtWzGVpAAAAAMCMVdan+l0EJDFDDBggCxfs0GmITWXtqVm4cPu5KQgAAAAAgJGgIQYMjM023zpZf+XUg9Yv74wDAAAAAIBp0hADBsaG9WuTzXedetDmizvjAAAAAABgmtxDDBgYq1avyaKtj0xueNPkg7Y+MqtWXT93RQEAAAAAm6Ql2dD6XQV0mCEGDIxrr70+2frI5A5LJh5whyXJ1kfm2uvWzGVZAAAAAAAMOQ0xYGCsW7cuv77sN8nCDyfbvTzZfPckW3Set3t5svDD+fVlv8m6dev6XSoAAAAAAEPEJROBgXLDDTfkf36+Lnfa8QlZuOjIbLb51tmwfm1Wrbo+1155hWYYjLj73flJm7ztxSs+M4uVANw2mQUMG7kFDBu5BcwmDTFg4Kxbty7Lr1qR5Vet6HcpAAAAAMDtsD7V7xIgiUsmAgAAAAAAMOI0xAAAAAAAABhpGmIAAAAAAACMtIFsiFXVa6vqgqpaVlVfrqpdu8v3qKq13eXLqup9k2y/Y1V9pap+1n1eNLdnAMw3cgsYNnILGCYyCxg2cgugo6VzD7H5/GBwDGRDLMmbW2v7ttaWJPlCkuPHrPt5a21J93HMJNv/U5JzWmt7Jjmn+xqgl+QW9MLmu2f9dq/I+p2+m9r5J1m/03ezfrtXJJvv3u/KRoHcAoaJzAKGjdwCgAEzkA2x1tqaMS+3TaeRPBOHJjmp+/VJSQ6bhbIAJiW3oAe2fHhu3fFT+e6N2+adPzsux1/41LzzZ8fluzdum1t3/FSy5cP7XeFQk1vAMJFZwLCRWwAweLbodwGTqarXJ3lmktVJDhyz6h5VdV6SNUle2Vr7xgSb79xaW54krbXlVXWXKY5zdJKjk2Tx4sWzVT4wD8ktmEWb755bF7w5H/rlv+ayG//7fxdft+7qfOmqU/PjNT/Mc+/x5mxx3ZOT9Zf1sdDhNhe5JbOA2eKzFjBs5BYADJa+zRCrqq9W1UUTPA5Nktbaca213ZOcnOTY7mbLk9yttbZ/kr9NckpV7XB76mitndhaO6C1dsCiRS7HDExObsHcWb/1M/K9a7/6e82wsS678b/z/WvPyfqtnzHHlQ2XQcgtmQVM1yBkVvc4cguYFrkFMD0bWs3rB4OjbzPEWmuPmebQU5KcmeRVrbWbk9zc3f6HVfXzJPdOsnTcNldX1eLuX9AsTnLNbNUNzF9yC+bQ1ofk+5cfN+WQ7113Th604+uSG94wR0UNH7kFDBOZBQwbuQUAw2Ug7yFWVXuOeXlIkku6y3eqqs27X98zyZ5JfjHBLk5P8qzu189K8vneVQsgt2C2bbHZgqxa95spx6xatyKbb75gjioaPXILGCYyCxg2cgsABs+g3kPsjVV1nyQbklya5Jju8ocneU1V3ZpkfZJjWmvXJUlVfTDJ+1prS5O8Mcknquqvk/w6yVPm+gSAeUduwSy6dcPqLNxyp1y37upJxyzc8s5Zv351Np/DukaM3AKGicwCho3cAoABM5ANsdbaEZMs/3SST0+y7nljvr42yaN7Ux3AH5JbMMvWnp4H7viofOmqUycd8qAdH53cdMYcFjVa5BYwTGQWMGzkFkBHS7I+7qPFYBjISyYCAPPb5ms/mgfd6THZfZt7T7h+923unQfe6dHZfO1H57gyAAAAAIbRQM4QAwDmufWXZYvV/5Dn3uPN+f615+R7152TVetWZOGWd86Ddnx0HninR2eL1f+QrL+s35UCAAAAMAQ0xACAwbTuv7LFdU/Og7Z5Rh604+uy+eYLsn796uSmM7L5dU/WDIMRduqG4zd52yM3e80sVgIwPXILGDZyC5iPNMQAgIFx8YrPTLJmefeRJAd0HwD9NXlmAQwmuQUMG7k1/Foq6925iQHhnQgAAAAAAMBI0xADAAAAAABgpGmIAQAAAAAAMNLcQwwAAAAAAOiJDa36XQIkMUMMAAAAAACAEachBgAAAAAAwEjTEAMAAAAAAGCkuYcYAAAAAAAw61qS9XEPMQaDGWIAAAAAAACMNDPEAACAobXjljvngTsenH0XPizb32H73HTLLVmzenXWrFyVdevW9bs8AAAABoSGGAAAMJTuvf3+OXy3l+aTl/4ob7jgw1m+dnUWb70gT7n7AXnqPR6Q31yxPDfccEO/ywQAAGAAaIgBAABDZ8ctd87hu700L/zex3P+ysv/d/nlN67M23/ylfznVT/J+x/8zKz75aVmigEAQN9U1jd3bmIweCcCAABD54E7HpxPXvqj32uGjXX+ysvziV/9IDssWji3hQEAADCQNMQAAIChs+/Ch+VTl5435ZhPXLo02y/YYY4qAgAAYJBpiAEAAENn+ztsn+VrV0855qq1q7P1Hbaco4oAAAAYZO4hBgAADJ3rb7k+i7dekMtvXDnpmF22XpC1t7h/GMxHR/7ik7c55q7bLMqRezwoB+22TxbdcZusvPnGnHXFhXnwhju59yCwyQ774pc3abut7zP1H/pM5dR7PmWTt4Vea0k2mJfDgPBOBAAAhs4Fq76RJ999/ynH/OXdD8j1q9fMUUXAMHnoXf4oJz/0+bl+deWIT3489/m3d+SIT34816+u7Hb3u2e77bbrd4kAAMwyDTEAAGDofP+6M/OUu/9x9lt01wnX77forvnLPR6QNStXzW1hwMC76zaL8volT8rzvvD5vOU738qv16zO+tby6zWr85bvfCvPOOPT2Wnx4my5pUuuAgCMEg0xAABg6Fy37up89op35L0PelpeutejctdtFmWL2ix33WZR/navP8/7H/zM/OaK5S57BvyBI/d4UE798YU576rlE64/76rlOfnHF2SHhQvntjAAAHrKPcQAAICh9N/Xn5cP/OLlecCOB+XUhz8n299hu9x0yy25fvWaXPHLSzXDgAkdtNs+OeLbH59yzMkXnZ+j9t43K665Zo6qAoDRtT7V7xIgyYDOEKuq11bVBVW1rKq+XFW7dpfvUVVru8uXVdX7Jtn+hKq6Ysy4g+b2DID5Rm4Bw0ZuMSquW3d1zr7qw3nzJc/J8Rc+Jb/87//Jiquv0QwbMTKL2bTojtvkiuunvr/glTdcn63ucIc5qohRJLcAYPAM6gyxN7fW/m+SVNVLkhyf5Jjuup+31pZMYx9vb629pUf1AYwnt4BhI7eAYSKzmDUrb74xu22/Q369ZvWkY3bdbvvcdMstc1gVI0huAcCAGcgZYq21sX+qtW2S1q9aAKZDbgHDRm4Bw0RmMZvOuuLC/OXe959yzFH33y/Xr568YQa3RW4BwOAZ1BliqarXJ3lmktVJDhyz6h5VdV6SNUle2Vr7xiS7OLaqnplkaZK/a62t7GnBwLwnt4BhI7eAYSKzmC2n/up7Ofmhz885v/xFzrtq+R+s33+XxTlq731zxaWX9qE6RoncYiJ3W7ggz9h/SZ543/tm0TZbZ+WNa3PGJZfkE6u+kctv9CNm9LRWWd8Gcl4O81Df3olV9dWqumiCx6FJ0lo7rrW2e5KTkxzb3Wx5kru11vZP8rdJTqmqHSbY/b8luVeSJd1t3jpFHUdX1dKqWrpypf/TASYnt4BhMwi5JbOA6RqEzOrWIbdG3OU3rsxxyz6TDz7h0PzDnz40d9thQbbYbLPcbYcF+Yc/fWg++sQj8pvly92LkNskt5iph99jj3zqr47Mut/emr868bTs9+p35q9OPC3rfntrTv6zo/PQu/xRv0sEGGl9myHWWnvMNIeekuTMJK9qrd2c5Obu9j+sqp8nuXc6fykzdt9Xb/y6qj6Q5AtT1HFikhOTZO+99zZ9HZiU3AKGzSDklswCpmsQMqs7Vm7NA9+85n9y1Dc/kKft8cB86ilPy6I7bpOVN9+Ys664IFdceqlmGNMit5iJuy1ckLf8xePzopNPz7LLfjc79bKVq/OOr3475/70l3nPM47IUd860UwxgB4ZyLmKVbXnmJeHJLmku3ynqtq8+/U9k+yZ5BcTbL94zMvDk1zUu2oB5BYwfOQWMExkFr1w+Y0r85aLz86jvvLm7P+FV+dRX3lz3nLx2ZphzAq5xXjP2H9JPrn0wt9rho217LLl+dTSi/K0PR44x5UBzB+Deg+xN1bVfZJsSHJpkmO6yx+e5DVVdWuS9UmOaa1dlyRV9cEk72utLU3ypqpaks4NS3+V5AVzWz4wD8ktYNjILWCYyCxg2Mgtfs8T73vf/NWJp0055lM/uCinHPOXecvFZ89RVTA3NqT6XQIkGdCGWGvtiEmWfzrJpydZ97wxXz+jR6UBTEhuAcNGbgHDRGYBw0ZuMd6ibbbOlavXTDlm+errs3CrbeaoIoD5ZyAvmQgAAAAAMCpW3rg2uy7YYcoxixdsn1U33ThHFQHMPxpiAAAAAAA9dMYll+SIP9l7yjFPfsD9c+aVF8xRRQDzz0BeMhEAAAAAYFR89Lxl+dRfHZlzf/rLLLts+R+sX7L74jz5gPvnqG+d2IfqoHdakvXm5TAgNMQAAAAAAHro16tW5++/+KW856hD8qkfXpRPLb0oy1dfn8ULts+TD7h/nvyA++e48z+dy29c2e9SAUaWhhgAADBQjtzsNf0uARhyp97zKXN6PLkFbPS5v3jslOtXXHF5DrnvHjnqgftl6y3vkLXrbsn1a1ZnxWWX50Xb7Z8Xbbf/nNQpt4D5SEMMAAAAAGAOrFu3LiuuuSYrrrmm36XAHKmsby6ZyGDwTgQAAAAAAGCkaYgBAAAAAAAw0jTEAAAAAAAAGGnuIQYAAAAAAMy6lmSDeTkMCO9EAAAAAAAARpqGGAAAAAAAQJ9U1WZV9bKquqSqbqqqy6rqrVW17TS3/8uq+nBVnV9Vt1RVq6o9Jhl7bnf9ZI+vzGD8AbNw+nPGJRMBAAAAAAD65+1JXpLks0nemmSv7uv9q+oxrbUNt7H9C5M8KMn5SX6e5D5TjH19kg9OsPypSZ6Q5IwJ1q1I8rIJlv/iNuoaKBpiAAAAAABAT6xv1e8SBlpV7Z3kxUk+01o7YszyXyZ5Z5KnJTnlNnbzzCRXttZurap3Z4qGWGvtKxMtr6pXJrk5yccmWP3b1tpEy4eKSyYCAAAAAAD0x5FJKsk7xi3/QJIbkzz9tnbQWvt1a+3WTS2gqh6WThPts6216yYZs1lV7VBVQ9vh1BADAAAAAADojwck2ZDk+2MXttZuSrKsu77X/rr7PNGlFJNktyQ3JFmd5Iaq+kxV3XcO6ppVLpkIAAAAAADQH7smWdFau3mCdVckeUhVbdlaW9eLg1fVDkmekuSXSf5zgiG/TPKtJBckWZ/OvcqOTfLoqnpoa+3CXtTVCxpiAAAAAADArGuprHehujtX1dIxr09srZ045vU26dy7ayI3jRnTk4ZYOpds3CbJh1prbfzK1tpzxi36VFWdnuTcJG9L8uc9qmvWaYgBAAAAAAD0xorW2gFTrL8xyV0mWbfVmDG98tfpzPz68HQ3aK19o6r+K8mBVbV1a21tz6qbRfO+NQsAAAAAANAnV6Yzi+yOE6zbLZ2GWq8ul7hPOvco+1Jr7YoZbv6rJJsnWTTbdfWKhhgAAAAAAEB//CCdXs0Dxy6sqq2SLEmydIJtZsvzus8f3IRt90xya5LrZq+c3nLJRAAAAAAAoCc2NPNybsNpSV6R5KVJvjFm+fPTubfXyRsXVNXiJAuS/Lq1drsuo9idkXZUkquTfGGSMQuS3NBaWz9u+cFJ/izJF1trN0207SDSEAMAAAAAAOiD1tqFVfWeJMdW1WeSnJVkryQvSfL1JKeMGf4vSZ6V5MAk525cWFUPT/Lw7suN9ys7tqpWdY/xugkOfViSOyV5U2vt1knKOzDJ26rqjCS/SGdG2AOTPD3JinSaeENDQwwAAAAAAKB/XprOPbmOTnJwOs2mdyU5vrW2YRrbPyrJq8Yt+7sxX0/UEPvr7vO/T7Hfnyb5YZInJNk5yR2SXJ7kfUnesAn3HesrDTEAAAAAAIA+6V6S8K3dx1Tjnp3k2RMsPyHJCTM85mOnMeYnSZ4yk/0OsoG8eGdVvbaqLqiqZVX15aradcy6favqO1X146q6sHtjufHb71hVX6mqn3WfF83tGQDzjdwCho3cAoaJzAKGjdwC6GhJ1mezef1gcAzqT+PNrbV9W2tL0rmZ2/FJUlVbJPlYkmNaa3sneWSSWybY/p+SnNNa2zPJOd3XAL0kt4BhI7eAYSKzgGEjtwBgwAxkQ6y1tmbMy23TaSQnyWOTXNBaO7877truVMLxDk1yUvfrk9K5ORxAz8gtYNjILWCYyCxg2MgtABg8A3sPsap6fZJnJlmd5MDu4nsnaVV1dpKdkny8tfamCTbfubW2PElaa8ur6i5zUTMwv8ktYNjILWCYyCxg2MgtABgsfZshVlVfraqLJngcmiStteNaa7snOTnJsd3Ntkjy0CRHdZ8Pr6pH3846jq6qpVW1dOXKlbdnV8CIk1vAsBmE3JJZwHQNQmZ165BbwLTILYDb1lJZ3+b3g8HRtxlirbXHTHPoKUnOTPKqJJcn+XprbUWSVNVZSf44nWspj3V1VS3u/gXN4iTXTFHHiUlOTJK99967TTYOQG4Bw2YQcktmAdM1CJnVrUNuAdMitwBguAzkPcSqas8xLw9Jckn367OT7FtV23RvQvqIJBdPsIvTkzyr+/Wzkny+V7UCJHILGD5yCxgmMgsYNnILAAbPoN5D7I1VdZ8kG5JcmuSYJGmtrayqtyX5QTo3Iz2rtXZmklTVB5O8r7W2NMkbk3yiqv46ya+TPKUP5wDML3ILGDZyCxgmMgsYNnILAAbMQDbEWmtHTLHuY0k+NsHy5435+tokt+v6ywAzIbeAYSO3gGEis4BhI7cAfmfDYF6ojnnIOxEAAAAAAICRpiEGAAAAAADASNMQAwAAAAAAYKQN5D3EAAAAAACA4dZasr6Zl8Ng8E4EAAAAAABgpGmIAQAAAAAAMNI0xAAAAAAAABhp7iEGAAAAAAD0QGVDqt9FQBIzxAAAAAAAABhxGmIAAAAAAACMNA0xAAAAAAAARpp7iAEAAAAAALOuJVnfzMthMHgnAgAAAAAAMNI0xAAAAAAAABhpGmIAAAAAAACMNPcQAwAAAAAAemK9eTkMCO9EAAAAAAAARpqGGAAAAAAAACNNQwwAAAAAAICR5h5iAAAAAADArGupbGjV7zIgiRliAAAAAAAAjDgNMQAAAAAAAEaahhgAAAAAAAAjzT3EAAAAAACAnlhvXg4DYiDfiVX12qq6oKqWVdWXq2rXMev2rarvVNWPq+rCqtpqgu1PqKorutsvq6qD5vYMgPlGbgHDRm4Bw0RmAcNGbgHA4BnIhliSN7fW9m2tLUnyhSTHJ0lVbZHkY0mOaa3tneSRSW6ZZB9vb60t6T7OmoOagflNbgHDRm4Bw0RmAcNGbgHAgBnISya21taMebltktb9+rFJLmitnd8dd+1c1wYwEbkFDBu5BQwTmQUMG7kFAINnUGeIpapeX1WXJTkq3b+iSXLvJK2qzq6qH1XVy6fYxbHdqekfqqpFPS8YmPfkFjBs5BYwTGQWMGzkFkDnrwE2tM3m9YPB0befRlV9taoumuBxaJK01o5rre2e5OQkx3Y32yLJQ9P5IPHQJIdX1aMn2P2/JblXkiVJlid56xR1HF1VS6tq6cqVK2ft/IDRI7eAYTMIuSWzgOkahMzq1iG3gGmRWwAwXPp2ycTW2mOmOfSUJGcmeVWSy5N8vbW2Ikmq6qwkf5zknHH7vnrj11X1gXSu1TxZHScmOTFJ9t577zbZOAC5BQybQcgtmQVM1yBkVnes3AKmRW4BwHAZyPl6VbXnmJeHJLmk+/XZSfatqm26NyF9RJKLJ9h+8ZiXhye5qFe1AiRyCxg+cgsYJjILGDZyCwAGT99miN2GN1bVfZJsSHJpkmOSpLW2sqreluQH6Vx+9KzW2plJUlUfTPK+1trSJG+qqiXdMb9K8oI5PwNgvpFbwLCRW8AwkVnAsJFbAEmSyvpUv4uAJAPaEGutHTHFuo8l+dgEy5835utn9Kg0gAnJLWDYyC1gmMgsYNjILQAYPAN5yUQAAAAAAACYLQM5QwwAAAAAABhuLcmGZl4Og8E7EQAAAAAAgJGmIQYAAAAAAMBI0xADAAAAAABgpLmHGAAAAAAA0BPrU/0uAZKYIQYAAAAAAMCI0xADAAAAAABgpGmIAQAAAAAAMNLcQwwAAAAAAJh1rVU2NPNyGAzeiQAAAAAAAIw0DTEAAAAAAABGmoYYAAAAAAAAI809xAAAAAAAgJ5Y7x5iDAjvRAAAAAAAAEaahhgAAAAAAAAjTUMMAAAAAACAkeYeYgAAAAAAwKxrSTak+l0GJDFDDAAAAAAAgBGnIQYAAAAAAMBIq9Zav2sYGFX1mySX9ruOrjsnWdHvInrI+Q2vUTi3u7fWdup3EbNBbs2ZUT63xPkNg5HILZk1p5zfcBuF85Nbs28U3hdTcX7DaxTObSQyKxmo3BqF98VUnN9wG4XzG5rc2nXvhe3o0x7R7zL66tX7nP7D1toB/a4D9xD7PYMUIlW1dJT/I3F+w2uUz20Yya25Mcrnljg/5o7MmjvOb7iN+vkNE7k1d5zf8BrlcxtGg5Jbo/6+cH7DbdTPb/BU1jcXqmMweCcCAAAAAAAw0jTEAAAAAAAAGGkaYoPrxH4X0GPOb3iN8rlx+4zye2OUzy1xfsxPo/6+cH7DbdTPj00z6u8L5ze8Rvnc2HSj/r5wfsNt1M8PmES11vpdAwAAAAAAMGIW772oPffUA/tdRl+9Yb/P/tB96waDGWIAAAAAAACMNA2xPquq3avqa1X1k6r6cVX9TXf5U7qvN1TV0HaPpzi/N1fVJVV1QVV9tqoW9rnUTTLF+b22e27LqurLVbVrv2vdFJOd35j1f19Vraru3K8amXtyS24NKpnFZEY5t2TW8GZWIreY2ChnViK35BajSG7JrUEls4DxXDKxz6pqcZLFrbUfVdX2SX6Y5LAkLcmGJO9P8vettaX9q3LTTXF+d03yn621W6vqX5OktfaP/at000xxfpe31tZ0x7wkyf1aa8f0r9JNM9n5tdYurqrdk3wwyX2T/ElrbUU/a2XuyC25NahkFpMZ5dySWcObWYncYmKjnFmJ3OqOkVuMFLkltwaVzBoMLpnokomDxAyxPmutLW+t/aj79fVJfpJkt9baT1prP+1vdbffFOf35dbard1h303nQ8TQmeL81owZtm06HwKHzmTn11399iQvz5CeG5tObiWRWwNJZjGZUc4tmZVkSDMrkVtMbJQzK5FbXXKLkSK3ksitgSSzBsf6bDavHwyOLfpdAL9TVXsk2T/J9/pcSk9McX7PTXLanBc0y8afX1W9Pskzk6xOMvR/BjH2/KrqkCRXtNbOr6r+FkZfya3hNsq5JbOYzCjnlswabnKLiYxyZiVyq3+VzQ65xUTk1nAb5dySWUBihtjAqKrtknw6yUvH/QXGSJjs/KrquCS3Jjm5X7XNhonOr7V2XGtt93TO7dh+1nd7jT2/dH5exyU5vp810X9yS24NKpnFZEY5t2TW8GZWIreY2ChnViK3IrcYQXJLbg0qmQVspCE2AKrqDumE8smttc/0u57ZNtn5VdWzkjwhyVGtDe/N7Kbx8zslyRFzW9XsmeD87pXkHknOr6pfpXNJgB9V1S79q5K5Jrfk1qCSWUxmlHNLZg1vZiVyi4mNcmYlcityixEkt+TWoJJZwFgumdhn1ZmX++9JftJae1u/65ltk51fVT0+yT8meURr7cZ+1Xd7TXF+e7bWftZ9eUiSS/pR3+010fm11i5McpcxY36V5IDm5qPzhtySW4NKZjGZUc4tmZVkSDMrkVtMbJQzK5Fb3Zdyi5Eit+TWoJJZg6GlsqG5NCWDoYb4jxdGQlU9NMk3klyYZEN38SuS3DHJu5LslGRVkmWttcf1o8bbY4rze2c653htd9l3W2vHzH2Ft88U5/fXSe7TXXZpkmNaa1f0pcjbYbLza62dNWbMr+KDw7wit+TWoJJZTGaUc0tmDW9mJXKLiY1yZiVyK3KLESS35NagklmDYZe9d2zPPOXR/S6jr9685FM/bK0d0O860BADAAAAAAB6QENMQ2yQuIcYAAAAAAAAI809xAAAAAAAgJ7YYF4OA8I7EQAAAAAAgJGmIcZQq6pfVdXaqrq+qlZV1ber6piq6sl7u6paVf22qm7oPj7Yi+MAo6sPubV5Vb2uqq7sHvO8qlrYi2MBo2cuM6uqHjbmM9bGR6uqI2b7WMDo6sNnrUdV1Y+qak1V/aKqju7FcYDR1YfcemJVXdT9rPXtqrpfL44DMIg0xBgFT2ytbZ/k7knemOQfk/x7D4+3X2ttu+7jeT08DjC65jK3Xp3kIUn+NMkOSZ6R5KYeHQsYTXOSWa21b4z5jLVdkickuSHJl2b7WMDIm5Pcqqo7JPlskvcnWZDkqUneVlX7zfaxgJE3V7m1Z5KTkxyTZGGSM5KcXlVuqwPMCxpijIzW2urW2unp/CPkWVV1/ySpqoO7MyLWVNVlVXXCxm2q6syqevHY/VTVBVV12FzWDsxPvc6tqlqU5KVJnt9au7R1XNRa0xADZqwPn7WeleRTrbXfzt5ZAPPJHOTWjun8wdFHu5+zfpDkJ0nMtgA2yRzk1uOSfKO19s3W2q1J/jXJbkke0aNTgrSWrG81rx8MDg0xRk5r7ftJLk/ysO6i3yZ5Zjp/+XJwkv8z5kPBSUmevnHb7l/y7ZbkrCkO8V9VdVVVfaaq9pjV4oF5qYe5tU+SW5M8uZtb/11VL+rFOQDzxxx81kpVbZPkyd3tAW6XXuVWa+3qJKcmeU73MtV/ms7sjm/25ESAeaOHn7eq+xj/+v6zVz3A4NIQY1Rdmc5f66W1dm5r7cLW2obW2gXp/INl41++fD7Jnt0p40nnUmKntdbWTbLfRyTZI8l9u8f4gmnlwCzpRW7dNZ3L99w7yT3S+eXyCVX15z08D2B+6NVnrY2OSLIiyddnv3RgnupVbp2a5PgkNyf5RpLjWmuX9eokgHmlF7n1lSSPqKpHVtWWSV6RZMsk2/TyRAAGhYYYo2q3JNclSVU9qKq+VlW/qarV6Vwn+c5J0lq7Ocknkjy9e7PSI5N8dLKdttb+q7W2rrW2KsnfpPML5r16eibAfNGL3FrbfX5Na21t9x9OH09yUA/PA5gfevJZa4xnJfmP1lrrSfXAfDTruVVV901yWjqzNrZMsneSl1fVwb0+GWBemPXcaq1dks7nrHcnWd7dx8XpzEYDGHkaYoycqnpAOh8aNl6m4pQkpyfZvbW2IMn78vvTw09KclSSRye5sbX2nRkcro3bF8CM9TC3Lug++4UyMGt6/VmrqnZP8sgk/zG7lQPzVQ9z6/5JftpaO7s7a+OnSc5M8hc9OA1gHunl563W2qdaa/dvrd0pyavSudTrD2b/LOB3NrSa1w8Gh4YYI6OqdqiqJ6Qz++FjrbULu6u2T3Jda+2mqnpgkr8au133Q8KGJG/NFH+xXFV7V9WS7rXht+uOvyKdmyYDzFivc6u19vN0L91TVXesqr3SuTnzF2b/bIBR1+vMGuMZSb7dzTCATTYHuXVeOpcpe1R13CvJE5KcP9vnAswPc/F5q6r+pPu7rZ2SvD/JGd2ZYwAjT0OMUXBGVV2f5LIkxyV5W5LnjFn/wiSv6Y45Pp1p5OP9R5J9knxsiuPsnM7lMNYk+UU69xJ7Qmvtltt7AsC8M1e5lXQul3H3JNem8xfL/7e1ds7tKx+YZ+Yys5LOpcdOul0VA/PdnORWt3H/3CTvTOffiV9P8ukk/z4L5wDML3P5eev/JVmV5Kfd5+ffnsIBhkm5LD8kVfXMJEe31h7a71oApkNuAcNEZgHDRm4Bw0ZuMah2vt+O7WknP67fZfTVO//44z9srR3Q7zpItuh3AdBvVbVNOn9p895+1wIwHXILGCYyCxg2cgsYNnKLQdZS2dBcqI7B4J3IvFZVj0vymyRXp3ODUoCBJreAYSKzgGEjt4BhI7cAps8MMea11trZSbbtdx0A0yW3gGEis4BhI7eAYSO3AKbPDDEAAAAAAABGmhliAAAAAABAT6xP9bsESKIh9nsWLVrUdt11136XAfTYxRdfvKK1tlO/65gNcgvmh1HJLZkF84fcAobJqGRWIrdgvhil3IK5pCE2xq677prTTjut32UAPbbPPvtc2u8aZovcgvlhVHJLZsH8IbeAYTIqmZXILZgvRim3YC65hxgAAAAAAAAjzQwxAAAAAABg1rUkG5p7iDEYBnKGWFW9tqouqKplVfXlqtp13Pq7VdUNVfX3k2x/QlVd0d1+WVUdNDeVA/OV3AKGjdwChonMAoaN3AKAwTOQDbEkb26t7dtaW5LkC0mOH7f+7Um+eBv7eHtrbUn3cVYvigQYQ24Bw0ZuAcNEZgHDRm4BwIAZyEsmttbWjHm5bTozK5MkVXVYkl8k+e0clwUwKbkFDBu5BQwTmQUMG7kFAINnUGeIpapeX1WXJTkq3b+iqaptk/xjkldPYxfHdqemf6iqFvWwVIAkcgsYPnILGCYyCxg2cgsgSSob2mbz+sHg6NtPo6q+WlUXTfA4NElaa8e11nZPcnKSY7ubvTqd6eI33Mbu/y3JvZIsSbI8yVunqOPoqlpaVUtXrlx5e08LGGFyCxg2g5BbMguYrkHIrG4dcguYFrkFAMOlb5dMbK09ZppDT0lyZpJXJXlQkidX1ZuSLEyyoapuaq29e9y+r974dVV9IJ1rNU9Wx4lJTkySvffeu002DkBuAcNmEHJLZgHTNQiZ1R0rt4BpkVsAMFwG8h5iVbVna+1n3ZeHJLkkSVprDxsz5oQkN4z/wNBdt7i1trz78vAkF/W2YmC+k1vAsJFbwDCRWcCwkVsAv7Mh1e8SIMmANsSSvLGq7pNkQ5JLkxxzWxtU1QeTvK+1tjTJm6pqSTo3LP1Vkhf0rlSAJHILGD5yCxgmMgsYNnILAAbMQDbEWmtHTGPMCeNeP2/M18/oQVkAk5JbwLCRW8AwkVnAsJFbADB4Nut3AQAAAAAAANBLAzlDDAAAAAAAGG6tJeube4gxGMwQAwAAAAAAYKRpiAEAAAAAAPRJVW1WVS+rqkuq6qaquqyq3lpV205z+7+sqg9X1flVdUtVtaraY5Kxj+yun+jxhUm2Oaiqvl1Vv62q66rqk1V1j9txyn3hkokAAAAAAAD98/YkL0ny2SRvTbJX9/X+VfWY1tqG29j+hUkelOT8JD9Pcp9pHPPEJN8Yt+zy8YOq6klJPtXd9z8kWZDkpUm+VVUHtNaunMaxBoKGGAAAAAAA0BMbmgvVTaWq9k7y4iSfaa0dMWb5L5O8M8nTkpxyG7t5ZpIrW2u3VtW7M72G2Hdaax+7jdrukORdSS5L8rDW2g3d5V9M8sMkJyQ5ehrHGgjeiQAAAAAAAP1xZJJK8o5xyz+Q5MYkT7+tHbTWft1au3WmB66qbatqqymGPCLJrkk+uLEZ1j3esiTnJnlqt2k2FDTEAAAAAAAA+uMBSTYk+f7Yha21m5Is667vhf+X5IYka6vqv6vqb6qqJqgtSb4zwfbfTbJDknv3qL5ZpyEGAAAAAADQH7smWdFau3mCdVckuXNVbTmLx7slyelJXp7kkCTHJFmVzgy1D01Q28Y6JqotSXabxdp6yj3EAAAAAACAWddS2dDGTzqad+5cVUvHvD6xtXbimNfbJJmoGZYkN40Zs242immtfSvJoWOXVdUHkpyV5NlV9e+ttW+OOW4mqe+mcWMGnoYYAAAAAABAb6xorR0wxfobk9xlknVbjRnTM621DVX1L0kel+SgJBsbYhuPe8d+1TabXDIRAAAAAACgP65MZxbZRE2n3dJpqM3K7LDb8Kvu853HLLtyTB3jbVw20eUUB5KGGAAAAAAAQH/8IJ1ezQPHLqyqrZIsSbJ0gm16Yc/u89Vjlv2g+/ynE4x/cJI1Sf67l0XNJg0xAAAAAACgJzak5vVjGk5L0pK8dNzy56dzf66TNy6oqsVVdd+q2uT7dlXVnSZYdsckJ3RfnjFm1deTLE/yvKrabsz4/ZI8MsknW2u3bGotc809xAAAAAAAAPqgtXZhVb0nybFV9ZkkZyXZK8lL0mlInTJm+L8keVaSA5Ocu3FhVT08ycO7Lzfer+zYqlrVPcbrxuzjS1V1ZZIfpnNJxF2TPD2dGWLvaq19f0xtt1TV36TTtPtGVX0gyQ5JXpbkN0ledXvPfy5piAEAAAAAAPTPS9O5h9fRSQ5OsiLJu5Ic31rbMI3tH5U/bE793ZivxzbEPpXksCQvTrIwyW+TnJfkVa21U8fvuLX2yapam+SVSd6S5OYk5yT5x9ba0Nw/LNEQAwAAAAAA6JvW2vokb+0+phr37CTPnmD5CfndJQ9v61j/muRfZ1jfF5J8YSbbDCINMQAAAAAAYNa1JBvatO6jBT23Wb8LAAAAAAAAgF7SEAMAAAAAAGCkuWQijLD73flJm7ztxSs+M4uVAEyP3AKGicwCho3cAoaN3AJmk4YYAAAAAADQExuaC9UxGLwTAQAAAAAAGGkaYgAAAAAAAIw0DTEAAAAAAABG2kA2xKrqtVV1QVUtq6ovV9Wu3eV7VNXa7vJlVfW+Sbbfsaq+UlU/6z4vmtszAOYbuQUMG7kFDBOZBQwbuQXQ1Sob5vmDwTGQDbEkb26t7dtaW5LkC0mOH7Pu5621Jd3HMZNs/09Jzmmt7ZnknO5rgF6SW8CwkVvAMJFZwLCRWwAwYAayIdZaWzPm5bZJ2gx3cWiSk7pfn5TksFkoC2BScgsYNnILGCYyCxg2cgsABs9ANsSSpKpeX1WXJTkqv/9XNPeoqvOq6utV9bBJNt+5tbY8SbrPd+lxuQByCxg6cgsYJjILGDZyCwAGS98aYlX11aq6aILHoUnSWjuutbZ7kpOTHNvdbHmSu7XW9k/yt0lOqaodbmcdR1fV0qpaunLlytuzK2DEyS1g2AxCbsksYLoGIbO6dcgtYFrkFsBta0k2pOb1g8GxRb8O3Fp7zDSHnpLkzCSvaq3dnOTm7vY/rKqfJ7l3kqXjtrm6qha31pZX1eIk10xRx4lJTkySvffee6bT14F5RG4Bw2YQcktmAdM1CJnV3Y/cAqZFbgHAcBnISyZW1Z5jXh6S5JLu8p2qavPu1/dMsmeSX0ywi9OTPKv79bOSfL531QLILWD4yC1gmMgsYNjILQAYPH2bIXYb3lhV90myIcmlSY7pLn94ktdU1a1J1ic5prV2XZJU1QeTvK+1tjTJG5N8oqr+Osmvkzxlrk8AmHfkFjBs5BYwTGQWMGzkFgAMmIFsiLXWjphk+aeTfHqSdc8b8/W1SR7dm+oA/pDcAoaN3AKGicwCho3cAvidDc19tBgMA3nJRAAAAAAAAJgtGmIAAAAAAACMtIG8ZCIMulM3HL/J2x652WtmsRKA6ZFbwDCRWcCwkVvAsJFbwHykIQYj7OIVn+l3CQAzIreAYSKzgGEjt4BhI7eGX4t7iDE4XDIRAAAAAACAkaYhBgAAAAAAwEjTEAMAAAAAAGCkuYcYAAAAAADQE+4hxqAwQwwAAAAAAICRpiEGAAAAAADASNMQAwAAAAAAYKS5hxgAAAAAADDrWso9xBgYZogBAAAAAAAw0jTEAAAAAAAAGGkaYgAAAAAAAIw09xADAAAAAAB6YkPcQ4zBYIYYAAAAAAAAI01DDAAAAAAAgJGmIQYAAAAAAMBIcw8xBsphX/zyJm239X1Wb/IxT73nUzZ5WwC5BQybTcktmQX0i89awLCRWzBOSzY09xBjMJghBgAAAAAAwEjTEAMAAAAAAGCkaYgBAAAAAAAw0txDDAAAAAAAmHUt7iHG4BjIGWJV9dqquqCqllXVl6tq1+7yPapqbXf5sqp63yTbn1BVV4wZd9DcngEw38gtYNjILWCYyCxg2MgtABg8gzpD7M2ttf+bJFX1kiTHJzmmu+7nrbUl09jH21trb+lRfQDjyS1g2MgtYJjILGDYyC0AGDAD2RBrra0Z83LbdGZWAgwsuQUMG7kFDBOZBQwbuQXwOy6ZyKAYyEsmJklVvb6qLktyVDp/RbPRParqvKr6elU9bIpdHNudmv6hqlrU22oB5BYwfOQWMExkFjBs5BYADJa+NcSq6qtVddEEj0OTpLV2XGtt9yQnJzm2u9nyJHdrre2f5G+TnFJVO0yw+39Lcq8kS7rbvHWKOo6uqqVVtXTlypWzd4LAyJFbwLAZhNySWcB0DUJmdeuQW8C0yC0AGC59u2Ria+0x0xx6SpIzk7yqtXZzkpu72/+wqn6e5N5Jlo7b99Ubv66qDyT5whR1nJjkxCTZe++9TV8HJiW3gGEzCLkls4DpGoTM6o6VW8C0yC0AGC4DecnEqtpzzMtDklzSXb5TVW3e/fqeSfZM8osJtl885uXhSS7qXbUAcgsYPnILGCYyCxg2cgugo6Wyoc3vB4OjbzPEbsMbq+o+STYkuTTJMd3lD0/ymqq6Ncn6JMe01q5Lkqr6YJL3tdaWJnlTVS1J54alv0rygrktH5iH5BYwbOQWMExkFjBs5BYADJiBbIi11o6YZPmnk3x6knXPG/P1M3pUGsCE5BYwbOQWMExkFjBs5BYADJ6BvGQiAAAAAAAAzJaBnCEGAAAAAAAMv+Y+WgwIM8QAAAAAAAAYaWaIMRC23HLL7LBgYb77f16QRdtsnZU3rs0ZP7kkH122LL9etbrf5QHzwLPf8eVN2/A+s1sHwHTJLWCYyCxg2MgtgNGjIUbfbbfddtlpl8X55DcuyKe/eWGWX7cmi3fcIYc95P751JFH5riPn51vXvKrqXdy9cKc+uw/n5N6k+TIzV4zZ8cCBtvWV2/itH+5BfTJJuWWzAL6xGctYNjILYDBpSFGX2255ZbZaZfFeeG7P5sLfrn8f5dfvmJ13n36t/JfF/4ibz/mkBz1ro/n8mvNFAMAAAAAGCYb4h5iDAb3EKOvdliwMJ/8xgW/1wwb64JfLs9nv3VRjnzIfnNcGQAAAAAAMCo0xOirHRYsyKe/eeGUYz737Yty0P73naOKAAAAAACAUaMhRl9tteWWWX7dminHXHXd9Vm47dZzVBEAAAAAADBq3EOMvrpp3bos3nGHXL5i8vuD7bLj9ln127VzWBUAAAAAALdXa8mG5h5iDAYzxOirNatX54iH7jPlmMMecv+cdd4lc1QRAAAAAAAwajTE6Ks1q1flKQ/bN/veY/GE6/e9x+Ic/mf3z6nfPn+OKwMAAAAAAEaFSybSV+vWrctvrlqe9x57eD71jQvzqW9ekKuuuz677Lh9DnvI/XP4n90/x3387Fx+7eSXVATopd12WpCnHrgkj3vQfbNw+62z6vq1Oft7l+S0ry3LFb+RTQAAAAAwDDTE6Lsbbrgh6359aR63791y8IP2ysJtt86q367NWeddkqPe9XHNMKBvHnL/PfLq5z4+n//ahXnBq07NVSvWZJc775AnHLhPPvLPR+ZVH/pSvnb5pf0uEwAAAGBgNfcQY0BoiDEQ1q1blxW/uSZHfuQr/S4FIElnZtirn/v4vPytn8tFP1v+v8uvuGZ13n/aN/OtH/08b/q7w/Kz92jcAwAAAMCgcw8xAJjAUw9cks9/7cLfa4aNddHPluf0r12YI/90vzmuDAAAAACYKQ0xAJjA4x5033zhaxdOOeaMr12Yg/a/7xxVBAAAAABsKpdMBIAJLNx+61y1Ys2UY6669vos3G7rOaoIAAAAYNhUNriHGAPCDDEAmMCq69dmlzvvMOWYXe60fVbdsHaOKgIAAAAANpWGGABM4OzvXZInHLjPlGOeeOA+Oeu8S+aoIgAAAABgU7lkIgBM4LSvLctH/vnIfOtHP89FP1v+B+vvv+fiHHLgPvmr93y8D9UBJLvttCBPPXBJHv+g+2bB9ltn9fVr86XvXZLTvrYsV/xmdb/LA0bUsX9/5qZteNc7zG4hwLzzshd8bpO2u2X7TcwfuQUwcjTEGCinPvvP+10CME995KWP/YNlq6+7Jv/vn47IZ8+5IJ/96vm56trrs8udts/hj9kvhz9631xz9fK8+YkP7EO1wHy33Xbb5SP/dGS+8KXz86K/PTlXX7M6O99lQQ567D75yD8dmde9+4v57nm/nHDbO65K3n/C4+e2YGDeu+OqDZu4ncwC+kNuwexp7iHGgNAQA4BJ3HDDDVm37tI8+gF3z+GP3jdb3fEOuenmW7JmzepcftmlWbduXb9LBOahLbfcMnfZeXH+/pWfzI8vufJ/l1951ap88D++ke98/+d5/fFPygtecXKuuNpMMQAAAEg0xABgSuvWrcuK31yTFb+5pt+lACRJdthhYT5/5rLfa4aN9eNLrsyZZ1+QJz1+/7zrpHPntjgAAAAYUJv1uwAAAGD6dliwIKd/8fwpx5x59gX584fuNUcVAQAAwOAbyIZYVb22qi6oqmVV9eWq2nXMun2r6jtV9eOqurCqtppg+x2r6itV9bPu86K5PQNgvpFbwLCRW8NrqztumauvmfpSiFf/Zk0W7LD1HFUEvSezgGEjtwA6WpINreb1g8ExkA2xJG9ure3bWluS5AtJjk+SqtoiyceSHNNa2zvJI5PcMsH2/5TknNbanknO6b4G6CW5BQwbuTWkbrp5XXa+y4Ipx+y80w5ZvWbtHFUEc0JmAcNGbgHAgBnIhlhrbc2Yl9um00hOkscmuaC1dn533LWttfUT7OLQJCd1vz4pyWE9KhUgidwCho/cGl5rVq/OIX+x35RjDn7cvvnKN38yRxVB78ksYNjILQAYPFv0u4DJVNXrkzwzyeokB3YX3ztJq6qzk+yU5OOttTdNsPnOrbXlSdJaW15Vd5mLmoH5TW4Bw0ZuDac1a1bl0IOX5Bvf+Vl+fMmVf7B+7/vumoMft29e8IqT+1Ad9I7MGly7Ll6Yw5/4x3n0gffLgh22zuo1a3PO1y7OZ8/4Ua5cvqrf5UHfyC0AGCx9myFWVV+tqosmeByaJK2141pruyc5Ocmx3c22SPLQJEd1nw+vqkffzjqOrqqlVbV05cqVt2dXwIiTW8CwGYTcklmzb926dbnm6uV5/fFPyvOf9fDsusvCbL75Ztl1l4V5/rMentcf/6S87t1fzBVXT32fMRg0g5BZ3Trk1gw88IB75r1vf0bW3bguL3nRSXn8Y/81L3nRSVl347q89+3PyAMPuGe/S4SekVuDZ/Fui3LMix+TT5zx0nzpv16RT5zx0rzo6Edl18UL+10azF8tafP8weDo2wyx1tpjpjn0lCRnJnlVksuTfL21tiJJquqsJH+czrWUx7q6qhZ3/4JmcZJrpqjjxCQnJsnee+/t7QlMSm4Bw2YQcktm9cYNN9yQl7/5K3nS4/fPu99y1P/OyPjKN3+SF7ziZM0whtIgZFa3Drk1TbsuXphX/P3B+b+v+GQuvviK/12+/MpV+dAHv57vfvt/8to3PCUvfNlHc+n11/exUugNuTVYHvDge+XlrzwkX/zcj/Ky534oV1+1KjvvsjCPO3T/vPftT88b3nJWvr/0F/0uE4A+Gsh7iFXVnmNeHpLkku7XZyfZt6q26d6E9BFJLp5gF6cneVb362cl+XyvagVI5BYwfOTW8Lvi6tV510nn5pDn/1se8dS35ZDn/1veddK5mmGMJJk1mA5/4h/nzC+c93vNsLEuvviKnHXmshz2hP3nuDLoP7k1txbvtigvf+UhOeHvPp6PvPc/s/yKldmwvmX5FSvzkff+Z07424/nFX9/kJliAPPcQDbEkryxO8X8gnRuNvo3SdJaW5nkbUl+kGRZkh+11s5Mkqr6YFUdsHH7JH9eVT9L8ufd1wC9JLeAYSO3gGEiswbQow+8X7541vlTjjnrzGV5zIH3m6OKYKDIrTl06JP+JF/83I/ykwsvn3D9Ty68PF/63Hka9ADzXN8umTiV1toRU6z7WJKPTbD8eWO+vjbJ7br+MsBMyC1g2MgtYJjIrMG0YIetc/VtzEq95uo1WbBgmzmqCAaH3Jpbj3rs/fOy535oyjFf+tyP8rYPPTfv/cDX5qgqYKMNqX6XAEkGd4YYAAAAMMBWr1mbnXdeMOWYu+y8Q1avvnGOKgLmqx0WbJOrr1o15ZhrrlqdBTto0APMZxpiAAAAwIyd87WL8xcH7TflmIMOXpKvfm2i2yMBzJ41q2/MzrssnHLMXXZZkNVrNOgB5jMNMQAAAGDGPnvGj3LwE/bP/e6324Tr73e/3XLQwUvyuS+cN8eVAfPNf375ojzu0KnvD/b4w/5Ygx5gntMQAwAAAGbsyuWr8oa3nJnXvuEp+evnPzKLd12YzTffLIt3XZi/fv4j89o3PCVveMuZuXL5qn6XCoy4z3/mh/mLw/44e+1z1wnX77XPXfP4w/bXoIc+aElaq3n9YHBs0e8CAACAmXv/CY/vdwnAPPTutxz8B8uuuebyPOrRf5TDDv+TbLXVHXLTTbdkzZrVueaay/PMp+2VZz5trz5UCoyat7//sCnXr1r9m7zh3U/PmZ9emjM//cNcc9Xq3GWXBTn4iD/JwUcckGuuWZ5X/N2fzU2xAAwkDTEAAABgk61bty4rVlyTFSuu6XcpwDx2ww03ZN26S/OwP98zBx/xJ9lqqy1z003rsmbNmlx++aVZt25dv0sEoM80xAAAAACAoadBD8BUNMQAAAAAAIAeqGxwHy0GxGb9LgAAAAAAAAB6SUMMAAAAAACAkaYhBgAAAAAAwEhzDzEAAAAAAKAnWut3BdBhhhgAAAAAAAAjTUMMAAAAAACAkaYhBgAAAAAAwEhzDzEAAAAAAKAnWqt+lwBJzBADAAAAAABgxGmIAQAAAAAAMNI0xAAAAAAAABhp7iEGAAAAAADMutbcQ4zBYYYYAAAAAAAAI01DDAAAAID/z959h8tV1fsff39DbwkdEzqKiFGIGsArXbjARQUUFZUuRa5GBMSKQgDxItVruWJAAaUIgqJC6BJAQSFAKBL8qXSIhBQSQkmAfH9/zI4Oh1NmTpu957xfzzPPmdl7rb3W0sPHI9/Ze0mSJLU1H5koSZIkSZIkSZIGxEIfmaiS8A4xSZIkSZIkSZIktbVSFsQi4sSIuC8ipkTEdRExqu7cJhFxe0T8JSLuj4ilO+k/PiKeKvpPiYhdB3cFkoYac0tS1ZhbkqrEzJJUNeaWJEnlU8qCGHBqZm6SmWOAK4FjASJiceAC4LDMHA1sB7zSxTXOzMwxxWviIMxZ0tBmbkmqGnNLUpWYWZKqxtySJKlkSrmHWGbOrfu4HJDF+52A+zLz3qLdzMGemyR1xtySVDXmlqQqMbMkVY25JUn/ltlzG2kwlPUOMSLipIh4Atib4ls0wFuBjIhrI+LuiPhyN5cYV9ya/tOIWGnAJyxpyDO3JFWNuSWpSswsSVVjbkmSVC4tK4hFxA0R8UAnr90BMvOYzFwbuBAYV3RbHNiK2h8SWwEfjogdOrn8j4A3A2OAacDp3czj0IiYHBGTZ8+e3W/rk9R+zC1JVVOG3DKzJDWqDJlVzMPcktQQc0uS1F8iYlhEHBkRD0XEyxHxREScHhHLNdj/4xFxbkTcGxGvRERGxHpdtN02In4YtX0sn4+IZyPijxHxyYiITtpPKq7X2WtsH5c+qFr2yMTM3LHBphcBVwHHAU8CN2fmDICImAi8G7ixw7WfWfQ+Is6m9qzmruYxAZgAMHr0aG/elNQlc0tS1ZQht8wsSY0qQ2YVbc0tSQ0xtyRJ/ehM4HDg19S+BLFx8fldEbFjZi7sof9ngS2Ae4F/ABt10/Y7wFrFWPdTe7TvXtT+9+r9wCGd9JkBHNnJ8Yd7mFeplPKRiRGxYd3H3YCHivfXAptExLJR24R0W+DBTvqPrPv4YeCBgZqrJIG5Jal6zC1JVWJmSaoac0uS/i0zhvSrJxExGvg88KvM/Ehmnp2ZRwFHAdsDn2jgP+b9gBUy873ADT20/QqwbmZ+PjMnZOaZwPuAW4CDI+IdnfR5ITMv6OQ1q4G5lUbL7hDrwckRsRGwEHgMOAwgM2dHxBnAndQ2I52YmVcBRMQ5wFmZORk4JSLGFG0eBT4z6CuQNNSYW5KqxtySVCVmlqSqMbckSY36JBDAdzscPxs4GdiH2t1bXcrMxxsdLDNv7uTYwoi4DNgGeAedfBEjIoYBywPPZ2Yl70guZUEsM/fs5twFwAWdHD+47v2+AzQ1SeqUuSWpaswtSVViZkmqGnNLktSEzah9geKO+oOZ+XJETCnOD4a1ip/PdHJuTWAesAzwYkRcC3w9Mx/qpG1plbIgJkmSJEmSJEmSNASMAmZk5vxOzj0FvC8ilszMBQM1gYgYRe1u5IeBP3Q4/QjwR+A+4DVqe5WNA3aIiK0y8/5+nstm1PYxex+wBjAf+CdwF3ANcFVv/7OwICZJkiRJkiRJkvpd0tg+Wm1u1YiYXPd5QmZOqPu8LLWiT2dermszIAWxiFgW+DWwHPChzHyl/nxmHtihy2UR8VtgEnAG8J/9NI9Fj438/KKh606PAt5NrVD2dEScDnw/M19tZgwLYpIkSZIkSZIkSQNjRmaO7eb8i8DqXZxbuq5Nv4uIpYErgLHA/pl5ayP9MvPWiLgF2D4ilsnMl/phOidTK4Yl8ApwN7U75JYE1gZGU6tpjQROBz4ZEZ/KzL83OsCwfpikJEmSJEmSJEmSmvc0tbvIlurk3JrUCmr9fndYXTFsR+CQYo/LZjwKLAas1A9z2Qj4YvHxEmCdzHxfZn4sM3fPzHcDKwKfAG6nVjQbC9wWEW9vdBwLYpIkSZIkSZIkSa1xJ7Vazeb1B4uC1Rhgcid9+qQovv0a2Ak4NDN/2ovLbAi8CszqhykdCgRwY2Z+KjOnd2yQmS9l5i8zcytgb2AusCpwQ0SMbGQQC2KSJEmSJEmSJGlA5BB/NeCSoukRHY4fQm3vsAsXHYiIkRHxtmLfr14pimFXADsDh2XmOd20HRERi3Vy/APAlsD1mfnyG3s2bVtqBbFvNdI4M39BrVj4OPAmao9Q7JF7iEmSJEmSJEmSJLVAZt4fET8ExkXEr4CJwMbA4cDNwEV1zf8H2B/YHpi06GBEbANsU3xctF/ZuIh4rhijvtB0IbALcAPwYkTs02FK92XmfcX77YEzIuJ3wMPU7gjbHNgHmMEbi3i9tX5x7dsa7ZCZj0bEh4E/AJ+IiP/JzPu762NBTJIkSZIkSZIkqXWOoLYn16HAB6gVm74PHJuZCxvo/37guA7Hvlj3vr4gtqhgtmPx6uh4YFFB7K/AXcAHgTWAJYAngbOAb2fmUw3MrRErAHMy85VmOmXmPRFxPnAY8FHAgpgkSZIkSZIkSVIZZeZr1B771+2j/zLzAOCATo6PB8Y3ONZ6TcxrKvCxRtv3wUvAcr3s+xPgM9SKex2Lgq9jQUySJEmSJEmSJPW/hMxo9SxUftOAt0bEKpk5s8m+DxQ/1+yp4bCmpyVJkiRJkiRJkiT1j78UP7dqtmNmzgeeA1bvqa0FMUmSJEmSJEmSJLXKJCCBT/Sy/wrAqz01siAmSZIkSZIkSZKkVvkNtYLYRyJinWY6RsQmwGLA0z21tSAmSZIkSZIkSZIGRg7xl3qUmY8D44DfAkc22X3RXWV/6qnh4k1eWJIkSZIkSZIkSeo3mXkWcFYzfSJiTeDzQAC/7Km9d4hJkiRJkiRJkiSpai4GlgUeBK7uqbF3iEmSJEmSJEmSJKlq3g+8E3gxMxf21NiCmCRJkiRJkiRJGhCZ0eopqGQi4mpgCnAPcE9m/q3D+fcBe2Tml7u7Tma+WlyjIRbEJEmSJEmSJEmSNFg2AP6T2t5fERHzgPuoFbemAGsDRwPdFsSaZUFMkiRJkiRJkiRJgyIzN4qI5YBNgTF1r4OApagVyjIi/g7cDkzIzFv7Om5kZl+v0TYi4lngsVbPo7AqMKPVkxhArq+62mFt62bmaq2eRH8wtwZNO68NXF8VtEVumVmDyvVVWzusz9zqf+3we9Ed11dd7bC2tsgsKFVutcPvRXdcX7W1w/oqk1tLv3nNXPvk/271NFrq7x//5l2ZObbV86iCiBgGbAwcAnweuAZ4HzAc+GRmXtqX63uHWJ0yhUhETG7nf0hcX3W189qqyNwaHO28NnB9Gjxm1uBxfdXW7uurEnNr8Li+6mrntVVRWXKr3X8vXF+1tfv6ysh7ctSozFwI/CUi7qB2Q9cHImIJ4DLgK0CfCmLD+mGOkiRJkiRJkiRJUo8i4gMRsVY3TRYCCZCZrwC/Bjbs67jeISZJkiRJkiRJkqTB8lsgImImcC8wpe41NTN/ERG317WfDyzX10EtiJXXhFZPYIC5vupq57Wpb9r5d6Od1wauT0NTu/9euL5qa/f1qXfa/ffC9VVXO69Nvdfuvxeur9rafX1SFewCjKl7bUvtiYYBzI+Iv1ArlB1UtP8jsHNfB430AZ6SJEmSJEmSJKmfLfXmNXOtb3+21dNoqYc/8Y273LeuexGxNPBOXl8k2zQzl4+IJYGXgGmZ2d1jFnvkHWKSJEmSJEmSJElqicx8GbizeHX0CvBN4N19HWdYXy+gvomItSPipoiYGhF/iYgvFMc/VnxeGBGVrR53s75TI+KhiLgvIn4dESu2eKq90s36TizWNiUirouIUa2ea290tb6680dHREbEqq2aowafuWVulZWZpa60c26ZWdXNLDC31Ll2ziwwt8wttSNzy9wqKzNLKr+IGB4R74yIdSOi03pV1nw7Mz/a5/F8ZGJrRcRIYGRm3h0RKwB3AXsACSwEfgwcnZmTWzfL3utmfWsBv8/MVyPiOwCZ+ZXWzbR3ulnfk5k5t2hzOPD2zDysdTPtna7Wl5kPRsTawDnA24D3ZOaMVs5Vg8fcMrfKysxSV9o5t8ys6mYWmFvqXDtnFphbRRtzS23F3DK3ysrMKgcfmegjEzsTEQF8D/gM/36S4WzgMuD4zHx6IMb1DrEWy8xpmXl38f55YCqwZmZOzcy/tnZ2fdfN+q7LzFeLZn+i9kdE5XSzvrl1zZaj9kdg5XS1vuL0mcCXqeja1HvmFmBulZKZpa60c26ZWUBFMwvMLXWunTMLzK2CuaW2Ym4B5lYpmVklkUDG0H6pMwcDn6X2iMSjgR8AKwJ7AX+JiB0HYlD3ECuRiFgPeBfw5xZPZUB0s75PA5cM+oT6Wcf1RcRJwH7AHGD71s2sf9SvLyJ2A57KzHtrxXwNVeZWtbVzbplZ6ko755aZVW3mljrTzpkF5lbrZtY/zC11xtyqtnbOLTNLKp1DgcnAVpmZEfF+YBy1f06/BfwmIsZm5tT+HNQ7xEoiIpYHLgeO6PANjLbQ1foi4hjgVeDCVs2tP3S2vsw8JjPXpra2ca2cX1/Vr4/af1/HAMe2ck5qPXPL3CorM0tdaefcMrOqm1lgbqlz7ZxZYG5hbqkNmVvmVlmZWVIpvQW4JPMNe3rNzcy9gb8DX+vvQS2IlUBELEEtlC/MzF+1ej79rav1RcT+wAeBvTv5xa+MBv77uwjYc3Bn1X86Wd+bgfWBeyPiUWqPBLg7It7UullqsJlb5lZZmVnqSjvnlplV3cwCc0uda+fMAnMLc0ttyNwyt8rKzJJKaxjwfDfnLwB26O9BfWRiixWbx/0EmJqZZ7R6Pv2tq/VFxC7AV4BtM/PFVs2vr7pZ34aZ+bfi427AQ62YX191tr7MvB9Yva7No8DYdPPRIcPcMrfKysxSV9o5t8wsoKKZBeaWOtfOmQXmVvHR3FJbMbfMrbIys8qjuuViDaCngXW6OT8HWKm/B40Kf3mhLUTEVsCtwP3AwuLw14GlgO8DqwHPAVMyc+dWzLEvulnf96itcWZx7E+Zedjgz7BvulnfQcBGxbHHgMMy86mWTLIPulpfZk6sa/Mo/uEwpJhb5lZZmVnqSjvnlplV3cwCc0uda+fMAnMLc0ttyNwyt8rKzCqHpTZYM9c86XOtnkZLPfKpY+7KzLGtnkeZRMTZwFsyc/vi8/uBG4DVM3NGRPwOWCczN+3XcS2ISZIkSZIkSZKk/mZBzIJYZyLiPcDRwBcyc3pRELsemAC8E3gfcEBm/qw/x/WRiZIkSZIkSZIkSRoUmXkX8Mm6Q3OpPUZxb+DvwH6ZeUF/j2tBTJIkSZIkSZIkDQwfUqceZOZkYO2BHmfYQA8gSZIkSZIkSZIkAUTEByJircEe14KYKiUiHo2IlyLi+Yh4LiJui4jDImJAfpcjYkJE/DUiFkbEAZ2cPzIi/hkRcyLipxGx1EDMQ1J1lSm3IuIdEXFtRMyICL+fJekNSpZZ+0fEXRExNyKejIhTIsInXEh6nZLl1ieKc3MiYnpEnB8RwwdiHpKqq0y51aHd7yMi/XtL0iD5LfB48e+oboyIMyJiv4jYNCKWGKhBLYipij6UmSsA6wInA18BfjJAY90LfBa4u+OJiNgZ+CqwA7AesAFw/ADNQ1K1lSK3gFeAS4GDBmhsSe2hLJm1LHAEsCqwBbW/uY4eoHlIqray5NYfgS0zcwS1/3+4OPCtAZqHpGorS24BEBF749Y6kgbXLsCXgWuA1YFxwLnAPcC8iJhSfLnoyIh4f0Ss3B+DWhBTZWXmnMz8LbAXsH9EvAP+dbvlPcW3iZ+IiPGL+kTEVRHx+frrRMR9EbFHF2P8MDNvBF7u5PT+wE8y8y+ZORs4ETigP9YmqT21Orcy86+Z+RPgL/23KkntqgSZ9aPMvDUzF2TmU8CFwJb9tkBJbacEufVEZs6oO/Qa8JY+L0xS22p1bhV9RwDHUfsX09IACDKH9ktvlJnXZ+ZpmblPZr4TWB7YjNqXuM8CngN2A04DbgBmRMSTfR3XgpgqLzPvAJ4Eti4OvQDsB6wIfAD477o/Cs4H9lnUNyI2BdYEJvZi6NHUvmWzyL3AGhGxSi+uJWkIaWFuSVLTSpRZ22BBX1IDWplbEbFVRMwBngf2BL7bm+tIGlpa/PfWt4EfAf/sZX9J6rPii5B3Z+a5mfmFzNwuM1eidtf9h6kV7v/c13EsiKldPA2sDJCZkzLz/sxcmJn3ARcD2xbtfgNsGBEbFp/3BS7JzAW9GHN5YE7d50XvV+jFtSQNPa3ILUnqrZZmVkQcCIyl9u1ASWpES3IrM/9QPDJxLeBU4NE+rEHS0DLouRURY6ndgf/9Ps9eknohIpaLiLdHxLqd7aWYmY9l5m8y88TM3LOv41kQU7tYE5gFEBFbRMRNEfFs8c28w6jtPUFmzqe2f84+xT9gnwR+3ssx5wH1GyQvev98L68naWhpRW5JUm+1LLOKb0OfDPxXh0eRSVJ3Wvq3VvGo12uAX/T1WpKGjEHNraLv/wFfyMxX+2kNktSQiBgeEb8A5gIPAI8A0yNiQkSsM1DjWhBT5UXEZtT+aPhDcegi4LfA2sU3884C6h/Wej6wN7WN2V/MzNt7OfRfgE3rPm8KPJOZM3t5PUlDRAtzS5Ka1srMiohdgLOpbTx/f2+vI2loKdHfWosDb+6na0lqYy3KreHU7sC/JCL+CdxZHH8yIrbuupvUCznEX+rM94CPAbcC3yxetwIHAA9ExEcGYlALYqqsoor8QWrfuLug7l+SrADMysyXI2Jz4FP1/Yo/EhYCp9PDN2giYsmIWJraHx1LRMTSdbdu/gw4qLilcyXgG8B5/bQ8SW2o1bkVNUsDSxafl46IpfpxiZLaSAky6/3AhcCexb4aktStEuTW3hGxTvE317rAScCN/blGSe2lxbk1BxgFjCleuxZd3kM/7NMjST3YFbii2CvspOL1YeCtwPXALyJiq/4e1IKYquh3EfE88ARwDHAGcGDd+c8CJxRtjqV2G3lHPwPeCVzQw1jXAS8B7wMmFO+3AcjMa4BTgJuAx4rXcb1bkqQ2V4rcAtYtPv+l+PwS8NdmFyOp7ZUls74JjAAmRsS84nV175Ykqc2VJbfeDtxG7fH6f6T2d9YhvViPpPbX8tzKmn8uegHPFu2fcc9qSYNgaWqPl36dzHy02CvsbuD4/h40Mr1nT0NPROwHHJqZ/V5llqSBYG5JqhIzS1LVmFuSqsbcUlUstcFaOeqEz7V6Gi316L5fvyszx7Z6HmUSETcDd2bm0V2cHwecnJnL9+e4i/fnxaQqiIhlqX3T5v9aPRdJaoS5JalKzCxJVWNuSaoac0uVkpAZPbfTUPNt4JcRcVlm/qmT80tSe7Rrv/KRiRpSImJnareAP0Ntg1JJKjVzS1KVmFmSqsbcklQ15pakNvFjYAFwc0ScHRGjF52IiHcDRwHf6+9BvUNMQ0pmXgss1+p5SFKjzC1JVWJmSaoac0tS1ZhbktrEZGAMsBLwaeCgiJgHvEZtL+k/AtdHxFKZOb+/BrUgJkmSJEmSJEmSBka2egIqm8z8KEBErABsQq04tmnxegfwPmpFs9ci4m/AfcD9mXlSX8a1ICZJkiRJkiRJkqRBlZnPU7sb7I+LjkVEABvx7yLZGGAb4OOABbH+stJKK+WoUaNaPQ1JA+zBBx+ckZmrtXoe/cHckoaGdsktM0saOswtSVXSLpkF5pY0VLRTbkkdZWYCDxWvXyw6HhF9/p23IFZn1KhRXHLJJa2ehqQB9s53vvOxVs+hv5hb0tDQLrllZklDh7klqUraJbPA3JKGinbKLalRmflsX69hQUySJEmSJEmSJA2QaPUEJACGtXoCkiRJkiRJkiRJ0kAqZUEsIk6MiPsiYkpEXBcRozqcXyci5kXE0V30Hx8RTxX9p0TEroMzc0lDlbklqWrMLUlVYmZJqhpzS5Kk8illQQw4NTM3ycwxwJXAsR3Onwlc3cM1zszMMcVr4kBMUpLqmFuSqsbcklQlZpakqjG3JEkqmVLuIZaZc+s+Lgfkog8RsQfwMPDCIE9LkrpkbkmqGnNLUpWYWZKqxtySpDrZcxNpMJT1DjEi4qSIeALYm+JbNBGxHPAV4PgGLjGuuDX9pxGx0gBOVZIAc0tS9ZhbkqrEzJJUNeaWJEnl0rKCWETcEBEPdPLaHSAzj8nMtYELgXFFt+Op3S4+r4fL/wh4MzAGmAac3s08Do2IyRExefbs2X1dlqQ2Zm5Jqpoy5JaZJalRZcisYh7mlqSGmFuSJFVLyx6ZmJk7Ntj0IuAq4DhgC+CjEXEKsCKwMCJezswfdLj2M4veR8TZ1J7V3NU8JgATAEaPHu3Nm5K6ZG5Jqpoy5JaZJalRZcisoq25Jakh5pYkSf0vIoYB2wPvA0YWh/8J3AbclJmv9fbapdxDLCI2zMy/FR93Ax4CyMyt69qMB+Z1/IOhODcyM6cVHz8MPDCwM5Y01JlbkqrG3JJUJWaWpKoxtySpjqV6NSgidgF+AGzQRZNHI2JcZk7szfVLWRADTo6IjYCFwGPAYT11iIhzgLMyczJwSkSMofaP2qPAZwZuqpIEmFuSqsfcklQlZpakqjG3JElqQkTsA5wPBLX//XsGeKT4vC7wpuLn7yLigMz8ebNjlLIglpl7NtBmfIfPB9e933cApiVJXTK3JFWNuSWpSswsSVVjbkmS1LiIWIfa438DuBU4MjPv7tDmXcCZwNbAjyPipsx8splxhvXTfCVJkiRJkiRJkqRmfQFYCvgDsEPHYhhAZt4D7Fi0WRo4vNlBSnmHmCRJkiRJkiRJqrgEMlo9C5XfTtTuDvtaZr7aVaPMfDUivkqtKPafzQ7iHWKSJEmSJEmSJElqlXWB+cBtPTXMzNuBBcD6zQ5iQUySJEmSJEmSJEmtEsBLmZkNtn8JWLLZQSyISZIkSZIkSZIkqVWmAStGxAo9NYyI5YERwNPNDuIeYpIkSZIkSZIkaUA0fM+PhrL7gbcA7wEm9dB20+LnA80O4h1ikiRJkiRJkiRJapXLgAQOaqDtvsXPy5sdxDvEJEmSJEmSJEmS1CqXAX8BFjTQ9rvA/wEPNTuIBTFJkiRJkiRJkiS1RGa+AtzXYNumC2GLWBCTJEmSJEmSJEkDwz3EVBIWxCRJkiRJkiRJktRyEbE08J/AWGD14vB0YDJwfWa+3NtrWxCTJEmSJEmSJElSS0XE54DxwCpdNJkVEeMz8we9ub4FMUmSJEmSJEmSJLVMRJwGHEXtIZsJPAk8AQSwJrA2sBLwvYjYIDOPanaMYf03XUmSJEmSJEmSpDoZQ/ulHkXEtsCRxceLgY0yc93M3Cozt8zM9YCNgIuoFcuOiIjtmh3HgpgkSZIkSZIkSZJa5XPU7gT7cWbuk5l/79ggM/+emfsCP6ZWFPtcs4NYEJMkSZIkSZIkSVKrbEmtyHVcA23HF23/o9lBLIhJkiRJkiRJkiSpVVYBnsvM6T01LNrMAVZtdpDFezExSZIkSZIkSZKkHkW2egaqgHnA8IhYJjNf6q5hRCwDrECtKNYU7xCTJEmSJEmSJElSq0yhdgPXwQ20PQRYDLi32UEsiEmSJEmSJEmSJKlVfkZtX7DTIuKzEfGG2lVEDIuIccCpQAAXNDuIj0yU2tjbV/1Ir/s+OONX/TgTSWqMuSWpSswsSVVjbkmqGnNLGjJ+DuwLvB/4AfD1iLgJeLI4v1ZxbiS1wtnvqRXRmmJBTJIkSZIkSZIk9b8sXlI3MjMjYg9gAvAJaoWvvTs2K16XAIdk5sJmx7EgJkmSJEmSJEmSpJbJzBeAvSPiNOCTwGbAatQejzgdmAxcnJl393YMC2KSJEmSJEmSJElqucy8B7hnIK79ho3JJEmSJEmSJEmSpHZSyoJYRJwYEfdFxJSIuC4iRhXH14uIl4rjUyLirC76rxwR10fE34qfKw3uCiQNNeaWpKoxtyRViZklqWrMLUlaJCCH+EulUcqCGHBqZm6SmWOAK4Fj6879IzPHFK/Duuj/VeDGzNwQuLH4LEkDydySVDXmlqQqMbMkVY25JUlSgyLipl68JjU7Tin3EMvMuXUflwOyyUvsDmxXvD8fmAR8pc8Tk6QumFuSqsbcklQlZpakqjG3JElqyjYNtFl0u112+NywUhbEACLiJGA/YA6wfd2p9SPiHmAu8I3MvLWT7mtk5jSAzJwWEasP+IQlDXnmlqSqMbckVYmZJalqzC1Jkhp2fA/nVwC2ALYEngN+ALzW7CAtK4hFxA3Amzo5dUxm/iYzjwGOiYivAeOA44BpwDqZOTMi3gNcERGjO3zrptl5HAocCjBy5MjeXkbSEGBuSaqaMuSWmSWpUWXIrGIe5pakhphbktSgZu+R1ZCTmSc00i4itgGuADbNzD2aHadlBbHM3LHBphcBVwHHZeZ8YH7R/66I+AfwVmByhz7PRMTI4hs0I4Hp3cxjAjABYPTo0f6jKalL5pakqilDbplZkhpVhswqrmNuSWqIuSVJ0uDKzFsi4nDgZxFxSGae3Uz/YQM0rz6JiA3rPu4GPFQcXy0iFivebwBsCDzcySV+C+xfvN8f+M3AzVaSzC1J1WNuSaoSM0tS1ZhbkiQNmF8CrwAHN9uxrHuInRwRGwELgceAw4rj2wAnRMSr1J4PeVhmzgKIiHOAszJzMnAycGlEHAQ8DnxssBcgacgxtyRVjbklqUrMLElVY25JkjQAMnN+RLwIvK3ZvqUsiGXmnl0cvxy4vItzB9e9nwnsMDCzk6Q3MrckVY25JalKzCxJVWNuSVIdH+aqfhQRo4DhwAvN9i3lIxMlSZIkSZIkSZKkRSJiSeD/gAAeaLZ/Ke8QkyRJkiRJkiRJUvuLiON6aLI4MArYufgJ8MNmx7EgJkmSJEmSJEmSpFY5ltpdXz1JantwfiszL2x2EAtiUi9cvPDYXvf95LAT+nEmktQYc0tSlZhZkqrG3JJUNeaWBpV7iKlnk+i+IPYKMAu4D7g0M//Rm0EsiElt7MEZv2r1FCSpKeaWpCoxsyRVjbklqWrMLWloyMwdBmOcYYMxiCRJkiRJkiRJktQqFsQkSZIkSZIkSZLU1nxkoiRJkiRJkiRJ6n8JZHdbQ0mvFxHDgO2B9wEji8P/BG4DbsrM13p7bQtikiRJkiRJkiRJaqmI2AX4AbBBF00ejYhxmTmxN9f3kYmSJEmSJEmSJElqmYjYB7iKWjEsqd0VdjvwJ2BacWxd4HcRsW9vxrAgJkmSJEmSJEmSpJaIiHWACUAAtwKbZeaozNwyM9+XmWsCY4tzAD+OiLWaHceCmCRJkiRJkiRJGhCRQ/ulhnwBWAr4A7BDZt7dsUFm3gPsWLRZGji82UEsiEmSJEmSJEmSJKlVdqJ2d9jXMvPVrhoV575K7fGJ/9nsIBbEJEmSJEmSJEmS1CrrAvOB23pqmJm3AwuA9ZsdZPHm5yVJkiRJkiRJktQAHxuongXwUmY2+tvyErXHJjbFO8QkSZIkSZIkSZLUKtOAFSNihZ4aRsTywAjg6WYHsSAmSZIkSZIkSZKkVrm/+PmeBtpuWvx8oNlBLIhJkiRJkiRJkiSpVS6j9nDNgxpou2/x8/JmB3EPMUmSJEmSJEmSJLXKZcBfgAUNtP0u8H/AQ80OYkFMpbLH1df1qt8yG83p9ZgXb/CxXveVJHNLUtX0JrfMLEmt4t9akqrG3JKk5mXmK8B9DbZtuhC2iI9MlCRJkiRJkiRJapGIGBYRR0bEQxHxckQ8ERGnR8RyDfb/eEScGxH3RsQrEZERsV437UdExPcj4qlivL9ExH9HRHTRfteIuC0iXoiIWRHxy4hYv5fLbRnvEJMkSZIkSZIkSWqdM4HDgV8DpwMbF5/fFRE7ZubCHvp/FtgCuBf4B7BRVw0jYkngeuBdwPeBqcB/UXsM4RrA+A7tP0LtkYb3Al8CRgBHAH+MiLGZ+XQT62xIRIwFtgTeBLwGPA38ITMbuousKxbEJEmSJEmSJEnSgIhs9QzKLSJGA58HfpWZe9YdfwT4HvAJ4KIeLrMf8HRmvhoRP6CbghhwMLAZcHhmfr84dnZEXA58PSLOzczHijksQa1o9gSwdWbOK45fDdxFrXh2aDPr7U5EbAacRa1Y19n5ycC4zLyjN9f3kYmSJEmSJEmSJEmt8UkggO92OH428CKwT08XyMzHM/PVBsf7VHHdszsc/y6wBLBX3bFtgVHAOYuKYcV4U4BJwF5F0azPImIH4BZqxbAE5lO7ey2BV4EFwHuAWyLig70Zo5QFsYg4MSLui4gpEXFdRIwqjq8XES8Vx6dExFld9B9fPPtyUbtdB3cFkoYac0tS1ZhbkqrEzJJUNeaWJKkJmwELgdfd9ZSZLwNTivP9IiKGAe8G7imuX++OYh714y16f3snl/sTMBx4az/MazhwMbAU8BiwL7ByZo4umswEVgNOoFa0uygi1mh2nLI+MvHUzPwmQEQcDhwLHFac+0dmjmngGmdm5mkDND9J6sjcklQ15pakKjGzJFWNuSVJatQoYEZmzu/k3FPA+yJiycxc0A9jrQQsU1z3dTJzfkTMBNbsMDc6a193bE3gL32c12HAKsAjwOaZObOT+T0PHB8RqwP/DRwJfLWZQUp5h1hmzq37uBy1W+IkqbTMLUlVY25JqhIzS1LVmFuSVCdjaL9g1YiYXPfquOfWstQeD9iZl+va9IdF1+luvPqxumvfn3P7ALXHRn65s2JYB/9L7X9Xd2l2kFIWxAAi4qSIeALYm9q3aBZZPyLuiYibI2Lrbi4xrrg1/acRsdLAzlaSzC1J1WNuSaoSM0tS1ZhbkqTCjMwcW/ea0OH8i9QeFdiZpeva9IdF1+luvPqxumvfn3N7O/AaMLGBtn8DXgHWa3aQlhXEIuKGiHigk9fuAJl5TGauDVwIjCu6TQPWycx3AUdRe07k8E4u/yPgzcCYos/p3czj0EWV2dmzZ/ffAiW1HXNLUtWUIbfMLEmNKkNmFfMwtyQ1xNySJPWTp6ndRdZZ0WlNagW1/nhcIsBs4CVe/1hEAIrxV+H1j0d8um4enc0NOn+cYrNGAM9l5ks9NczMBBbQdVGvSy3bQywzd2yw6UXAVcBxxTM05xf974qIf1DbsG1yh2s/s+h9RJwNXNnNPCYAEwBGjx7t7euSumRuSaqaMuSWmSWpUWXIrKKtuSWpIeaWJKmf3AnsBGwO3LroYEQsTe2LEbf010CZuTAi7gbeFRFLddi3bHNqN1HV/2/SncXP/wBu6HC59wJzgf/XD1N7idreZj2KiLWoPY740WYHKeUjEyNiw7qPuwEPFcdXi4jFivcbABsCD3fSf2Tdxw8DDwzcbCXJ3JJUPeaWpCoxsyRVjbklSYX01YBLipZHdDh+CLX9uS5cdCAiRkbE2yKiL/t2XVxct+NeZkcArwKX1h27mdqdygdHxPJ189gU2A74ZWa+0oe5LPI4sGxEjGqg7Veo7Tf2+2YHadkdYj04OSI2AhYCjwGHFce3AU6IiFepPU/ysMycBRAR5wBnZeZk4JSIGEPtl+hR4DODO31JQ5C5JalqzC1JVWJmSaoac0uS1JDMvD8ifkht78hfUdtHa2PgcGoFqYvqmv8PsD+wPTBp0cGI2Iba/8YAjC1+jouI54oxvlV3jbOBA4EzImI9YCqwK7UvYHwrMx+pm9srEfEFakW7W4u7locDRwLPAsf1cfmL3A6MBt4PXNDJ+cUi4t3AfsDnqD0y8YxmByllQSwz9+zi+OXA5V2cO7ju/b4DNDVJ6pS5JalqzC1JVWJmSaoac0uS1KQjqH0B4lDgA8AM4PvAsZm5sIH+7+eNxakv1r3/V0EsMxdExI7FsU9S2zfsH8DngR92vHBm/jIiXgK+AZxG7dG/NwJfycz+2D8M4DfAQdQKXp0VxFbl349yfAU4JDOnNjtIKQtikiRJkiRJkiRJQ0FmvgacXry6a3cAcEAnx8cD45sY7zlgXPFqpP2VdLOfZT+4ntqdaxERK2Xm7Prhi58vUNvH7FuZeXdvBrEgJkmSJEmSJEmSBkZj+2hpCMvMBfz78cIdbQC8CMzMzD79NlkQkyRJkiRJkiRJUulk5uP9dS0LYhoQB3z3ut513Kh/5yFJjTK3JFWNuSWpSswsSVVjbklS+7EgplJZ5pnoXcdnVuTiA/6zfyfTjU8OO2HQxpJUbuaWpKrpVW6ZWZJaxL+1JFWNuSVJzYuIm3rTLTO3a6aDBTFJkiRJkiRJkjQgwj3E1LNtGmiz6BsH2eFzwyyISZIkSZIkSZIkqVWO7+H8CsAWwJbAc8APgNeaHcSCmCRJkiRJkiRJkloiMxt6jmtEbANcAWyamXs0O86wZjtIkiRJkiRJkiRJgykzbwEOB3aLiEOa7W9BTJIkSZIkSZIkDYwc4i/1t18CrwAHN9vRgpgkSZIkSZIkSZJKLzPnAy8Cb2u2rwUxSZIkSZIkSZIklV5EjAKGA9FsXwtikiRJkiRJkiRJKrWIWBL4P2rFsAea7b94v89IkiRJkiRJkiQJ3EdLPYqI43posjgwCti5+Anww2bHsSAmSZIkSZIkSZKkVjmWxh6BmMBrwLcy88JmB7EgJkmSJEmSJEmSpFaZRPcFsVeAWcB9wKWZ+Y/eDGJBTJIkSZIkSZIkSS2RmTsMxjgWxCRJkiRJkiRJUr+LrL2kMhjW6glIkiRJkiRJkiRJjYiIj0fE/s32syAmSZIkSZIkSZKkqvgucG6znXxk4hBx4BnX9arfck+/0rsB11qid/0kqdDb3Fq4WHf7b3atd70k6d/MLUlVYmZJqhpzS5LaW0S8BdgfeAcwnO5v6Fq56HNT3bHzMvP87sawIKYBsdRzC3vZD348fpf+nYwkNcDcklQ15pakKjGzJFWNuSX1o7TErO5FxObAJGBpoJld57ZZdImif7csiEmSJEmSJEmSJKlVvgYsBfwNmAg8R/eFsaOB5YHj645N6mkQC2KSJEmSJEmSJElqlS2oFcC2z8yne2ocEYcBy2fmCc0M0t0zGCVJkiRJkiRJkqSBtArwbCPFsL4o5R1iEXEisDuwEJgOHLDoP4iI2AT4MbVN1RYCm2Xmyx36rwxcAqwHPAp8PDNnD9b8JQ095lY5rbXaCPbadlN22XwjRgxfljlzX+SaO/7KJTffy5PPzmn19KSWMrckVYmZJalqzC1JqtPMjlAaqhYHXu6xVR+V9Q6xUzNzk8wcA1wJHAsQEYsDFwCHZeZoYDvglU76fxW4MTM3BG4sPkvSQDK3SuZ971iP87+8F8MencvRH/0hu73jGI7+6A8Z9uhczv/yXrzvHeu1eopSq5lbkqrEzJJUNeaWJEmNa7Zs2qsyaynvEMvMuXUfl+Pfi9sJuC8z7y3azeziErtT+4MC4Hxqm6l9pd8n2gbWXG0Ee22/KTtvsTEjhi/DnLkvce2fp3LJTffylHdPSA0zt8plrdVGcOL+O3H8oefx0JTH/3V82hOzOP/0a/jzjQ9y4oQD2P+US7xTTEOWuSWpSswsSVVjbkmS1JQNgFebaL85sFizg5T1DjEi4qSIeALYm+JbNMBbgYyIayPi7oj4chfd18jMaQDFz9UHfsbV8753rsd5X/sE8eQ8vvips/jQe47ji586i3hyHud97RO8753rtXqKUqWYW+Wx17abcs0ld7yuGFbvoSmPc82ld/DxbTcZ5JlJ5WJuSaoSM0tS1ZhbkiQ1JjMfb2b/sMx8KjM7/xd/3WhZQSwiboiIBzp57Q6Qmcdk5trAhcC4otviwFbU/pDYCvhwROzQx3kcGhGTI2Ly7NlD51HMa642guMP3Jnjx/2c8/73eqY9OYuFry1k2pOzOO9/r+f4cT/n+AN3ZtTIFVs9Vak0zK3q2GXzjbju0ju6bXPdJXewy+ZvG6QZSa1RhtwysyQ1qgyZVczD3JLUEHNLkhoTObRfKo+WPTIxM3dssOlFwFXAccCTwM2ZOQMgIiYC76b2LOV6z0TEyMycFhEjqW1e2tU8JgATAEaPHj1kfj332n5TrrnsTqbe+0Sn56fe+wTXXD6ZPT74Lv7v7JsGeXZSOZlb1TFi+LI88/Rz3baZPu05RgxfdnAmJLVIGXLLzJLUqDJkVjEPc0tSQ8wtSZL6R0T0pggRmbldMx1K+cjEiNiw7uNuwEPF+2uBTSJi2WIT0m2BBzu5xG+B/Yv3+wO/Gai5VtXOW2zMtZff1W2bay+bzI7bvX2QZiRVm7lVLnPmvsgao1bsts3qI1dkztwXB2dCUgmZW5KqxMySVDXmliRJTdmmgde2da9Fx5rSsjvEenByRGwELAQeAw4DyMzZEXEGcCe1zUgnZuZVABFxDnBWZk4GTgYujYiDgMeBj7VgDaU2YvgyPDPtuW7bTP/nc4wY4d0TUoPMrRK55o6/stPHN+f806/pss1Oe23ONXc81OV5aQgwtyRViZklqWrMLUmSGnd8N+cWo7aX5pbAaOAF4IfAS80OUsqCWGbu2c25C4ALOjl+cN37mUCfnr/c7ubMfYk1Rq7ItCdnddlm9TetyJw53j0hNcLcKpdLbr6X87+8F3++8UEemvLG/TXfNmYddvn45ux/yiUtmJ1UDuaWpCoxsyRVjbklSXV8mKt6kJknNNIuInYFLubfd4w1pZQFMQ28a/88lZ33fA/n/e/1XbbZ+aNjuWFSZ3ftS1K5PfnsHL55/nWcOOEArrn0Dq675A6mT3uO1UeuyE57bc4uH9+cb55/HU8+O6fVU5Wkbq212gj22nZTdtl8I0YMX5Y5c1/kmjv+yiU338uM2V1/sUmSJEmSpHaTmRMjYhxwPvAF4PRm+pdyDzENvEtuupddProZG2+6dqfnN950bXbZcyxXXHnPIM9MkvrHbQ88yv6nXMJr667AqZd9jivuP4lTL/scr627Avufcgm3PfBoq6coSd163zvW4/wv78Wwh2dz9B7/y24bfZmj9/hfhj08m/O/vBfvfdf6rZ6iJEmSJEmD7VLgFeATzXb0DrEh6qln53Dcuddy/A/25ZrLJ3PtZZOZ/s/nWP1NK7LzR8eyy55jOe7ca3m6h33GJKnMnnx2DmdcditnXHZrq6ciSU1Za7URnLj/Thz/6XN46J7H/nV82uMzOf+Uifz5+r9w3E8O5tBvXMRTz3i3qyRJkiRpaMjM+RHxPPCWZvtaEBvCbrv/UQ74n1/w8e035bSLPvOvx/Bc++eHOOB/fsFTz85huVZPUpIkaQjaa9tNuebi219XDKv30D2Pce0v/sRHdh7D93928yDPTpIkSZIalBDuIaZ+FBErASvSiycgWhAbIs49aqduz0976lGmPVV7v8laS7PJvlsMwqwkqWs95ZYklU1vc+tL/3X2G47917cP5ovf/l63/a79xZ/4wcQv8o4NlunVuJKGtlVveLx3HbP3/0br1KsP6XVfSTK3JEmFBN7fm44WxCRJkqSSGb7ycjzz1Oxu20x/ejZLL73kIM1IkiRJkqSBFRFvAXYCRgBPABMzc1Z9m8x8DrilN9e3ICZJkiSVzNxZL7DGmisx7fGZXbZZfdRKvPzygkGclSRJkiRJAyMi/gf4Eq9/FOLciDgwM39d1+4zwJuAMzNzbjNjNP2MRUmSJEkDa9Jv7mKnj2/ebZud99qCuc/PGaQZSZIkSVIv5RB/qUcRsTfwZSCAmcDtwCxgBeCiiFi/rvmGwHHArs2OY0FMkiRJKpnfnXcL//WJ/+Bt71q30/Nve9e67LLXe5k714KYJEmSJKnyxlErhv0aWDMztwTWAm4ElgI+V9f2Emqlxg82O4gFMUmSJKlkpj02k9OOuIDxZx/EAV/alZHrrMJiiw9j5DqrcMCXdmX82Qdx2hEXsGCBj0yUJEmSJFXeO4ufh2fmAoDMfBk4gVrxa7u6tn8tfm7S7CAWxCRJkqQSmjxpKkfufgZLLLEYp/3y8/xm6nc47ZefZ4klFuPI3c9g8qSprZ6iJEmSJPWs1Y8sbPVLjUhgTmY+3eH4ncXPN/+rYW3fsHnAms0OsnivpydJkiRpQE17bCZnn3AFZ59wRaunIkmSJEnSQHkM2DAilsjMVxYdzMz5ETGX2l5i9ZYAlmx2EO8QkyRJkiRJkiRJUqv8ilqR68OdnHuZulpWRKxLbV+xZ5odxDvEJEmSJEkawkauuwof2n9rttv9PQxfeTnmznqBSb+5i9+dfyvTHpvZ6ulJkiSp/Z0KfBL4fkT8v8ycUneu44MnvwAE8MdmB/EOMUmSJEmShqix223MmVccyfyXFvDFPc5ktw2O4ot7nMn8lxZw5hVHMna7jVs9RUmSVHGRQ/ulhrwb+Ca1QtefIuKnEfGpiHg/xaMRI2KXiPg+tYJYAt9rdhDvEJMkSZIkaQgaue4qHH3m3ow/cAIP3f3ov45Pe2wG53/nSv58/QOMP/dQjtzjTO8UkyRJ0kD6PbVi2CIHFK96E6kVwl4DjsrMPzc7iHeISZIkSZI0BH1o/625+qLbXlcMq/fQ3Y9yzcW388H9thrciUlqS0suuSSrrrIab17/Lbz97W/nzeu/hVVXWY0ll1yy1VOTJLVe9vCaBzwE/ATYLDN/0JtBLIhJkiRJkjQEbbf7e7juF3/qts21F9/Odru/Z5BmJKldLb/88qw1ah1uvfxePrf9SXxorc/zue1P4tbL72WtUeuw/PLLt3qKkqQWyszFM3Oxbl7DM/PtmXloZt7b23F8ZKIkSZIkSUPQ8JWX45knZ3XbZvpTsxix8nKDNCNJ7WjJJZdk9VXfxDF7fY+HJj/yr+PTHpvBT0/8NbddPYWTLjmcBQseZ8GCBS2cqSSp3VkQkyRJkiRpCJo76wXWWGtlpj02o8s2q6+5MnNmvTCIs5LUboavMIKrzrvldcWweg9NfoTf/XQSSyy1JGef8OuuL7TYYgM0Q0nSUGFBTJIkSWqhU68+pNVTkDQEnTrxYOa/+iL/tc/7+OlJv+2y3a77bsmC117i1IkHD+LsJLWTEcNHcPXPbu22zbUX/JHTrvxS9wWx117j1Gs/08+zkyRVUUR8HFgmM89vpp97iEmSJEmSNATNfX4OH9hvK9727vU6Pf+2d6/Hrvtuydzn5wzuxCS1laWWWdLHs0qS+tt3gXOb7eQdYpIkSZIkDUELFixg+rP/5KSLP8vEn/+RiT//I9OfmsXqa67Mrvtuya77bsn0Z//pnj6S+mT+Swt8PKs01GWrJ6AqiIi3APsD7wCG0/0NXSsXfW6qO3ZeT3eMWRCTJEmSJGmImjdvHgsWPM5Wu7+DXffdkqWXXpKXX17A3LlzePKpxy2GSeqzOXPn8F/7bc1PT+z6cYg777Mlk349eRBnJUkqk4jYHJgELE1zJdRtFl2i6N+tUhbEIuJEYHdgITAdOCAzny7ObQL8mFqFcCGwWWa+3KH/eOAQ4Nni0Nczc+LgzF7SUGRuSaoac0tSlZhZA2vBggXMmPksM2Y+23NjSQ0xt/5t7vNz+MAB23Db1VN4aPIjbzj/trHrs8veW3Lkh85owewkSSXxNWAp4G/AROA5ui+MHQ0sDxxfd2xST4OUsiAGnJqZ3wSIiMOBY4HDImJx4AJg38y8NyJWAV7p4hpnZuZpgzNdSTK3JFWOuSWpSswsSVVjbhUWLFjA9Bn/5KRLDmfi+bcw8fxb//V41p332ZJd9t6S075wQbePVJQktb0tqBXAtl/0BZLuRMRhwPKZeUIzg5SyIJaZc+s+Lse/K4E7Afdl5r1Fu5mDPTdJ6oy5JalqzC1JVWJmSaoac+v1/vV41o9syvs/9l5GrLwcc2a9wKRfT+bID51hMUxqZwnhHmLq2SrAs40Uw/qilAUxgIg4CdgPmANsXxx+K5ARcS2wGvCLzDyli0uMi4j9gMnAFzNz9kDPWdLQZm5JqhpzS1KVmFmSqsbcer1Fj2f90s4/bvVUJEnlszjwco+t+mjYQA/QlYi4ISIe6OS1O0BmHpOZawMXAuOKbosDWwF7Fz8/HBE7dHL5HwFvBsYA04DTu5nHoRExOSImz55d6b8rJA0wc0tS1ZQht8wsSY0qQ2YV8zC3JDXE3JIkqd80ex9hr+47bNkdYpm5Y4NNLwKuAo4DngRuzswZABExEXg3cGOHaz+z6H1EnA1c2c08JgATAEaPHu3Nm5K6ZG5Jqpoy5JaZJalRZcisoq25Jakh5pYkSf1mA+DVJtpvDizW7CAtu0OsOxGxYd3H3YCHivfXAptExLLFJqTbAg920n9k3ccPAw8M1FwlCcwtSdVjbkmqEjNLUtWYW5JUJ4f4Sz3KzMeb2T8sM5/KzMebHaese4idHBEbAQuBx4DDADJzdkScAdxJ7VdpYmZeBRAR5wBnZeZk4JSIGFO0eRT4zKCvQNJQY25JqhpzS1KVmFmSqsbckiSpQRFxbm+6ZeYBRf9vAyPrj3WmlAWxzNyzm3MXABd0cvzguvf7DtDUJKlT5pakqjG3JFWJmSWpaswtSZKash8Q1L4IEg20X9TugOLzHsBGHY69QSkLYpIkSZIkSZIkSRoSzqOxQlhXfk3tDrFuWRCTJEmSJEmSJEkDw3201IPMPKiP/Y9ppN2wvgwiSZIkSZIkSZIklZ0FMUmSJEmSJEmSJLU1H5koSZIkSZIkaVCceu1nWj0FSVKJRcTSwH8CY4HVi8PTgcnA9Zn5cm+vbUFMkiRJkiRJkiT1uwDCPcTUoIj4HDAeWKWLJrMiYnxm/qA317cgJkmSJEmSJEmSpJaJiNOAo4AsXk8CT1Crq64JrA2sBHwvIjbIzKOaHcM9xCRJkiRJkiRJktQSEbEtcGTx8WJgo8xcNzO3yswtM3M9YCPgImrFsiMiYrtmx7EgJkmSJEmSJEmSpFb5HLU7wX6cmftk5t87NsjMv2fmvsCPqRXFPtfsIBbEJEmSJEmSJEnSwMgh/lIjtqT2n9ZxDbQdX7T9j2YHsSAmSZIkSZIkSZKkVlkFeC4zp/fUsGgzB1i12UEsiEmSJEmSJEmSJKlV5gErRMQyPTUs2qwAPN/sIBbEJEmSJEmSJEmS1CpTgMWBgxtoewiwGHBvs4Ms3mwHSZIkSZIkSZKkHiWE+2ipZz8DtgdOi4jXgLMyc2F9g4gYBnwWOBUI4IJmB7EgJkmSJEmSJEmSpFb5ObAv8H7gB8DXI+Im4Mni/FrFuZFAAr+nVkRrigUxSZIkSZIkSZIktURmZkTsAUwAPkGt8LV3x2bF6xLgkI53kDXCgpgkSZIkSZIkSZJaJjNfAPaOiNOATwKbAatRezzidGAycHFm3t3bMSyISZIkSZIkSZKkgeEeYmpCZt4D3DMQ1x42EBeVJEmSJEmSJEmSysKCmCRJkiRJkiRJktpaZHq/4iIR8SzwWKvnUVgVmNHqSQwg11dd7bC2dTNztVZPoj+YW4OmndcGrq8K2iK3zKxB5fqqrR3WZ271v3b4veiO66uudlhbW2QWlCq32uH3ojuur9raYX2Vya1lRq6d63/6qFZPo6WmfvuouzJzbKvnIfcQe50yhUhETG7nf0hcX3W189qqyNwaHO28NnB9Gjxm1uBxfdXW7uurEnNr8Li+6mrntVVRWXKr3X8vXF+1tfv6Ssl7ctSDiLipN90yc7tmOlgQkyRJkiRJkiRJUqts00CbKH5mh88NsyAmSZIkSZIkSZKkVjm+h/MrAFsAWwLPAT8AXmt2EAti5TWh1RMYYK6vutp5beqbdv7daOe1gevT0NTuvxeur9rafX3qnXb/vXB91dXOa1PvtfvvheurtnZfn1Q5mXlCI+0iYhvgCmDTzNyj2XEi0wd4SpIkSZIkSZKk/rXMyLVzgwOOavU0WurBk4+6y33r+k9E7AP8DPhMZp7dTN9hAzMlSZIkSZIkSZIkqV/9EngFOLjZjhbEWiwi1o6ImyJiakT8JSK+UBz/WPF5YURUtnrczfpOjYiHIuK+iPh1RKzY4qn2SjfrO7FY25SIuC4iRrV6rr3R1frqzh8dERkRq7Zqjhp85pa5VVZmlrrSzrllZlU3s8DcUufaObPA3DK31I7MLXOrrMwsqT1l5nzgReBtzfb1kYktFhEjgZGZeXdErADcBewBJLAQ+DFwdGZObt0se6+b9a0F/D4zX42I7wBk5ldaN9Pe6WZ9T2bm3KLN4cDbM/Ow1s20d7paX2Y+GBFrA+dQC573ZOaMVs5Vg8fcMrfKysxSV9o5t8ys6mYWmFvqXDtnFphbRRtzS23F3DK3ysrMKgcfmegjE/tbUaB/AnghM4c309c7xFosM6dl5t3F++eBqcCamTk1M//a2tn1XTfruy4zXy2a/YnaHxGV08365tY1W47aH4GV09X6itNnAl+momtT75lbgLlVSmaWutLOuWVmARXNLDC31Ll2ziwwtwrmltqKuQWYW6VkZpVIDvGX+k1ELAn8HxDAA832X7zfZ6Rei4j1gHcBf27xVAZEN+v7NHDJoE+on3VcX0ScBOwHzAG2b93M+kf9+iJiN+CpzLw3Ilo7MbWUuVVt7ZxbZpa60s65ZWZVm7mlzrRzZoG51bqZ9Q9zS50xt6qtnXPLzJLKLSKO66HJ4sAoYOfiJ8APmx3HglhJRMTywOXAER2+gdEWulpfRBwDvApc2Kq59YfO1peZxwDHRMTXgHFAT/9Ql1b9+qj993UMsFMr56TWM7fMrbIys9SVds4tM6u6mQXmljrXzpkF5hbmltqQuWVulZWZJVXCsdTu+upJAq8B38rMpnPXglgJRMQS1EL5wsz8Vavn09+6Wl9E7A98ENghs7qb2TXw399FwFVU94+G160vIt4JrA8s+hbNWsDdEbF5Zv6zhVPVIDK3zK2yMrPUlXbOLTOrupkF5pY6186ZBeYW5pbakLllbpWVmSVVxiS6L4i9AswC7gMuzcx/9GYQC2ItFrXk/QkwNTPPaPV8+ltX64uIXYCvANtm5outml9fdbO+DTPzb8XH3YCHWjG/vupsfZl5P7B6XZtHgbHp5qNDhrllbpWVmaWutHNumVlARTMLzC11rp0zC8yt4qO5pbZibplbZWVmlYT7aKkBmbnDYIwTFf7yQluIiK2AW4H7gYXF4a8DSwHfB1YDngOmZObOrZhjX3Szvu9RW+PM4tifMvOwwZ9h33SzvoOAjYpjjwGHZeZTLZlkH3S1vsycWNfmUfzDYUgxt8ytsjKz1JV2zi0zq7qZBeaWOtfOmQXmFuaW2pC5ZW6VlZlVDsu8ae3cYP+jWj2NlnrwlKPuysyxrZ6HLIhJkiRJkiRJkqQBYEHMgliZDGv1BCRJkiRJkiRJkqSB5B5ikiRJkiRJkiRpQIQPqVNJeIeYJEmSJEmSJEmS2poFMVVKRDwaES9FxPMR8VxE3BYRh0XEgPwuR8SEiPhrRCyMiAM6nDsgIl6LiHl1r+0GYh6SqqtMuVWc3yAirizmMyMiThmIeUiqpjJlVkSc1eHvrPkR8fxAzENSdZUstyIivhURT0XEnIiYFBGjB2IekqqrZLm1VEScGRFPR8TsiPi/iFhiIOYhSWVgQUxV9KHMXAFYFzgZ+ArwkwEa617gs8DdXZy/PTOXr3tNGqB5SKq2UuRWRCwJXA/8HngTsBZwwQDNQ1J1lSKzMvOw+r+zgIuBXw7QPCRVWylyC/gY8Glga2Bl4Hbg5wM0D0nVVpbc+iowFngH8Fbg3cA3BmgeGspyiL9UGhbEVFmZOSczfwvsBewfEe8AiIgPRMQ9ETE3Ip6IiPGL+kTEVRHx+frrRMR9EbFHF2P8MDNvBF4esIVIGjJKkFsHAE9n5hmZ+UJmvpyZ9/XP6iS1mxJkVv01lgP2BM7v06IktbUS5Nb6wB8y8+HMfI3aF4/e3i+Lk9SWSpBbHwK+l5mzMvNZ4HvUCvuS1JYsiKnyMvMO4Elq38IDeAHYD1gR+ADw33V/FJwP7LOob0RsCqwJTOzl8O8qHjn2/yLimxGxeC+vI2kIaWFuvRd4NCKuLrJrUkS8s1eLkDRktPhvrUX2BJ4FbunjdSQNAS3MrV8Ab4mItxaPHNsfuKYX15E0xLQwt6J41X9eKyJG9OJaklR6FsTULp6m9kgKMnNSZt6fmQuLOx8uBrYt2v0G2DAiNiw+7wtckpkLejHmLdRuKV+d2r+k+STwpT6sQdLQ0orcWgv4BLVv/Y0CrgJ+UzxKUZK604rMqrc/8LPM9IEjkhrVityaBtwK/BV4idojFI/swxokDS2tyK2rgS9ExGoR8Sbg8OL4sr1ehSSVmAUxtYs1gVkAEbFFRNwUEc9GxBzgMGBVgMycD1wK7FNsVvpJevlM9+IxGI8Uf5zcD5wAfLQf1iJpaBj03KL2L2b+kJlXF/9n6TRgFWDjvi1F0hDQisyiGG9tav8C6Gd9uY6kIacVuXUcsBmwNrA0cDzw+4jwXyxLakQrcusk4B5gCnAbcAXwCjC998uQ3ihyaL9UHhbEVHkRsRm1Pxr+UBy6CPgtsHZmjgDO4vW3f58P7A3sALyYmbf301SywziS1KkW5tZ9uJ2rpCaV4G+t/YDbMvPhPl5H0hDRwtzalNpdGk9m5quZeR6wEu4jJqkHrcqtzHwpM8dl5pqZuQEwE7ir2AdRktqOBTFVVkQMj4gPUntO+wXFXVoAKwCzMvPliNgc+FR9v+KPhIXA6fTwDZqIWDIilqb2R8cSEbF08e0bIuK/ImKN4v3bgG9Su21dkjrV6tyitrH7eyNix4hYDDgCmAFM7Z8VSmonJcisRfYDzuvzgiS1vRLk1p3AxyJijYgYFhH7AksAf++vNUpqL63OrYhYMyJGRc17qf27reP6c42SGlP87XBkRDwUES9HxBMRcXpELNfENXaNiNsi4oWImBURv4yI9TtpNykispvX9U20H9sf6x8s4WP4VSUR8SiwBvAqtf/hf5Dav+A9a9G3VyLio9T+IFgZuBl4FFgxM+s3HP0GcCLw5u6+bRwRk/j3M5oX2T4zJ0XEadSe07w88EwxjxMz85U+L1RS2yhTbhXnPwKcQm3/w7uBz2XmX/q4TEltooSZ9R/ADcCbMvP5Pi9QUtspU24V/8L5dOAjwHLUCmFfz8xr+rxQSW2jZLm1DbXHUq8OPAGckJkX9n2V0r8t86a18y37HNXqabTUA6cfdVdmdls4ioj/pbaP36+p7e+3MfB5avuT7piZC3vo/xHgMuBe4GxgBLUvQr8GjM3Mp+va/ie1HOpoL+CDwBcy83t17ScBo+l8b9SJmTmru7mViQUxDUkRsR9waGZu1eq5SFIjzC1JVWJmSaoac0tS1Zhbqopl3rR2vmXvIV4QO6P7glhEjAbuB36dmXvWHf888D1g78y8qJv+S1ArnL8KjM7MecXxMcBdwE8y89Ce5hkRDwHrAaPqi1xFQWy9zFyvp2uUnY9M1JATtQ2NPwtMaPVcJKkR5pakKjGzJFWNuSWpaswtqe18ktpjTb/b4fjZwIvAPh07dLAtMAo4Z1ExDCAzpwCTgL2KolmXImJrYCNqRblO7/gqHus4PCKis/NVYEFMQ0pE7Aw8S+0Rh11W1SWpLMwtSVViZkmqGnNLUtWYW1Jb2ozaI1TvqD+YmS8DU4rzPfUHuL2Tc38ChgNv7eEaBxU/z+ni/JrAPGAOMC8ifhURb+vhmqWzeKsnIA2mzLyW2rPcJakSzC1JVWJmSaoac0tS1ZhbUlsaBczIzPmdnHsKeF9ELJmZC7rpv6htZ/2hVtDqdA/5iBgOfAx4BPh9J00eAf4I3EdtT7ItgHHADhGxVWbe38W8SseCmCRJkiRJkiRJ6n9ZvIa2VSNict3nCZlZ/8jTZYHOimEAL9e16aogtmzxs7NrvNyhTWc+WZz/aWa+4b+tzDyww6HLIuK31B7HeAbwn91cu1QsiEmSJEmSJEmSJA2MGZk5tpvzLwKrd3Fu6bo23fUHWKqX/Q+idufXud20eZ3MvDUibgG2j4hlMvOlRvu2kgWxOiuttFKOGjWq54aSKu3BBx+ckZmrtXoe/cHckoaGdsktM0saOswtSVXSLpkF5pY0VLRTbgmAp4G3R8RSnTw2cU1qBbWu7g5b1H9R26md9IfOH6dIRLyT2h5kV2Vmp2268SiwHbASYEGsakaNGsUll1zS6mlIGmDvfOc7H2v1HPqLuSUNDe2SW2aWNHSYW5KqpF0yC8wtaahop9wSAHcCOwGbA7cuOhgRSwNjgFsa6A/wH8ANHc69F5gL/L8u+h5c/Dyn8en+y4bAq8CsXvRtiWGtnoAkSZIkSZIkSWo/4asRl1Dbae2IDscPoba314X/+s8zYmREvC0i6vcEuxmYBhwcEcvXtd2U2h1cv8zMVzoOGhFLAXsDzwBXdjaxiBgREYt1cvwDwJbA9Zn58ht7lpN3iEmSJEmSJEmSJLVAZt4fET8ExkXEr4CJwMbA4dSKXRfVNf8fYH9ge2BS0f+ViPgCtcLarRFxNjAcOBJ4Fjiui6H3AFYBTsnMV7tosz1wRkT8DniY2h1hmwP7ADN4YxGv1Ep5h1hEnBgR90XElIi4LiJGdTi/TkTMi4iju+g/PiKeKvpPiYhdB2fmkoYqc0tS1ZhbkqrEzJJUNeaWJKlJRwBHA6OBHwKfAL4PfDAzF/bUOTN/CewGzAdOA75C7fGLW3azN9hBxc+fdHPpvwJ3AR8ETgLOALYCzgLGZGZXj2IspVIWxIBTM3OTzBxD7Va9YzucPxO4uodrnJmZY4rXxIGYpCTVMbckVY25JalKzCxJVWNuSZIalpmvZebpmblRZi6VmWtm5lGZOa9DuwMyMzJzUifXuDIz35uZy2bmSpn50cz8Rzdj7lRcq8uiVmZOzcyPZeabM3P5Ym5vzszPdVNoK61SPjIxM+fWfVyO2vMzAYiIPajdmvfCIE9LkrpkbkmqGnNLUpWYWZKqxtySpDrZcxNpMJT1DjEi4qSIeILapm7HFseWo3ar3/ENXGJccWv6TyNipQGcqiQB5pak6jG3JFWJmSWpaswtSZLKpWUFsYi4ISIe6OS1O0BmHpOZawMXAuOKbsdTu118XlfXLfwIeDMwBpgGnN7NPA6NiMkRMXn27Nl9XZakNmZuSaqaMuSWmSWpUWXIrGIe5pakhphbkiRVS8semZiZOzbY9CLgKuA4YAvgoxFxCrAisDAiXs7MH3S49jOL3kfE2dSe1dzVPCYAEwBGjx7tzZuSumRuSaqaMuSWmSWpUWXIrKKtuSWpIeaWJEnVUso9xCJiw8z8W/FxN+AhgMzcuq7NeGBexz8YinMjM3Na8fHDwAMDO2NJQ525JalqzC1JVWJmSaoac0uS/i0s1askSlkQA06OiI2AhcBjwGE9dYiIc4CzMnMycEpEjKG2Xd+jwGcGbqqSBJhbkqrH3JJUJWaWpKoxtyRJKplSFsQyc88G2ozv8Pnguvf7DsC0JKlL5pakqjG3JFWJmSWpaswtSZLKZ1irJyBJkiRJkiRJkiQNpFLeISZJkiRJkiRJktqAe4ipJLxDTJIkSZIkSZIkSW3NgpgkSZIkSZIkSZLamgUxSZIkSZIkSZIktTX3EJMkSZIkSZIkSQPDPcRUEt4hJkmSJEmSJEmSpLZmQUySJEmSJEmSJEltzYKYJEmSJEmSJEmS2pp7iEmSJEmSJEmSpP6XEO4hppLwDjFJkiRJkiRJkiS1NQtikiRJkiRJkiRJamsWxCRJkiRJkiRJktTW3ENMkiRJkiRJkiQNDPcQU0l4h5gkSZIkSZIkSZLamgUxSZIkSZIkSZIktTULYpIkSZIkSZIkSWpr7iEmSZIkSZIkSZIGRLiHmErCO8QkSZIkSZIkSZLU1iyISZIkSZIkSZIkqa35yESpjb191Y/0uu+DM37VjzORpMaYW5KqxMySVDXmlqSqMbck9ScLYpIkSZIkSZIkaWC4h5hKwkcmSpIkSZIkSZIkqa1ZEJMkSZIkSZIkSVJbsyAmSZIkSZIkSZKktlbKglhEnBgR90XElIi4LiJGFcfXi4iXiuNTIuKsLvqvHBHXR8Tfip8rDe4KJA015pakqjG3JFWJmSWpaswtSfq3yKH9UnmUsiAGnJqZm2TmGOBK4Ni6c//IzDHF67Au+n8VuDEzNwRuLD5L0kAytyRVjbklqUrMLElVY25JklQypSyIZebcuo/LAc3WUXcHzi/enw/s0Q/TkqQumVuSqsbcklQlZpakqjG3JEkqn1IWxAAi4qSIeALYm9d/i2b9iLgnIm6OiK276L5GZk4DKH6uPsDTlSRzS1LlmFuSqsTMklQ15pYkSeXSsoJYRNwQEQ908todIDOPycy1gQuBcUW3acA6mfku4CjgoogY3sd5HBoRkyNi8uzZs/tyKUltztySVDVlyC0zS1KjypBZxTzMLUkNMbckqQHpS+WxeKsGzswdG2x6EXAVcFxmzgfmF/3vioh/AG8FJnfo80xEjMzMaRExEpjezTwmABMARo8e7a+npC6ZW5Kqpgy5ZWZJalQZMqu4jrklqSHmliRJ1VLKRyZGxIZ1H3cDHiqOrxYRixXvNwA2BB7u5BK/BfYv3u8P/GbgZitJ5pak6jG3JFWJmSWpaswtSZLKp2V3iPXg5IjYCFgIPAYcVhzfBjghIl4FXgMOy8xZABFxDnBWZk4GTgYujYiDgMeBjw32AiQNOeaWpKoxtyRViZklqWrMLUmSSqaUBbHM3LOL45cDl3dx7uC69zOBHQZmdpL0RuaWpKoxtyRViZklqWrMLUmq48NcVRKlfGSiJEmSJEmSJEmS1F8siEmSJEmSJEmSJKmtlfKRiZIkSZIkSZIkqdoCCB+ZqJKwICb1wsULj+11308OO6EfZyJJjTG3JFWJmSWpaswtSVVjbkkaiiyISW3swRm/avUUJKkp5pakKjGzJFWNuSWpaswtSf3JPcQkSZIkSZIkSZLU1rxDTJIkSZIkSZIkDQz3EFNJeIeYJEmSJEmSJEmS2poFMUmSJEmSJEmSJLU1C2KSJEmSJEmSJElqa+4hJkmSJEmSJEmSBkSkm4ipHLxDTJIkSZIkSZIkSW3NgpgkSZIkSZIkSZLamgUxSZIkSZIkSZIktTX3EJMkSZIkSZIkSf0vi5dUAt4hJkmSJEmSJEmSpLZmQUySJEmSJEmSJEltzYKYJEmSJEmSJEmS2pp7iEmSJEmSJEmSpAER7iGmkrAgplLZ4+rretVvmY3m9HrMizf4WK/7SpK5JalqepNbZpakVvFvLUlVY25JUnn5yERJkiRJkiRJkiS1NQtikiRJkiRJkiRJams+MlGSJEmSJEmSJA0M9xBTSXiHmCRJkiRJkiRJktpaKQtiEXFiRNwXEVMi4rqIGFUcXy8iXiqOT4mIs7roPz4inqprt+vgrkDSUGNuSaoac0tSlZhZkqrG3JIkqXzK+sjEUzPzmwARcThwLHBYce4fmTmmgWucmZmnDdD8JKkjc0tS1ZhbkqrEzJJUNeaWJEklU8qCWGbOrfu4HD5lVFLJmVuSqsbcklQlZpakqjG3JOnfwgRUSZTykYkAEXFSRDwB7E3tWzSLrB8R90TEzRGxdTeXGFfcmv7TiFhpYGcrSeaWpOoxtyRViZklqWrMLUmSyqVlBbGIuCEiHujktTtAZh6TmWsDFwLjim7TgHUy813AUcBFETG8k8v/CHgzMKboc3o38zg0IiZHxOTZs2f33wIltR1zS1LVlCG3zCxJjSpDZhXzMLckNcTckiSpWlr2yMTM3LHBphcBVwHHZeZ8YH7R/66I+AfwVmByh2s/s+h9RJwNXNnNPCYAEwBGjx7tzZuSumRuSaqaMuSWmSWpUWXIrKKtuSWpIeaWJEnVUspHJkbEhnUfdwMeKo6vFhGLFe83ADYEHu6k/8i6jx8GHhi42UqSuSWpeswtSVViZkmqGnNLkurkEH+pNFp2h1gPTo6IjYCFwGPAYcXxbYATIuJV4DXgsMycBRAR5wBnZeZk4JSIGEPt1+1R4DODO31JQ5C5JalqzC1JVWJmSaoac0uSpJIpZUEsM/fs4vjlwOVdnDu47v2+AzQ1SeqUuSWpaswtSVViZkmqGnNLkqTyKeUjEyVJkiRJkiRJkqT+Uso7xCRJkiRJkiRJUsUlhPtoqSS8Q0ySJEmSJEmSJEltzTvENCAO+O51veu4Uf/OQ5IaZW5JqhpzS1KVmFmSqsbckqT2Y0FMpbLMM9G7js+syMUH/Gf/TqYbnxx2wqCNJanczC1JVdOr3DKzJLWIf2tJqhpzS5LKy4KYJEmSJEmSJEkaGO4hppJwDzFJkiRJkiRJkiS1NQtikiRJkiRJkiRJamsWxCRJkiRJkiRJktTW3ENMkiRJkiRJkiT1uwDCPcRUEt4hJkmSJEmSJEmSpLZmQUySJEmSJEmSJEltzYKYJEmSJEmSJEmS2pp7iEmSJEmSJEmSpIGRbiKmcvAOMUmSJEmSJEmSJLU1C2KSJEmSJEmSJElqaxbEJEmSJEmSJEmS1NbcQ0ySJEmSJEmSJA2IcAsxlYR3iEmSJEmSJEmSJKmtWRCTJEmSJEmSJElSW/ORiUPEgWdc16t+CxeLXvXrXS9J+jdzS1LVmFuSqsTMkrTIF7c4pdd9T//zl/txJt0ztyRJfWVBTANiqecW9rIf/Hj8Lv07GUlqgLklqWrMLUlVYmZJqhpzS+onWbykEvCRiZIkSZIkSZIkSWprFsQkSZIkSZIkSZLU1iyISZIkSZIkSZIkqa2VsiAWESdGxH0RMSUirouIUXXnNomI2yPiLxFxf0Qs3Un/lSPi+oj4W/FzpcFdgaShxtySVDXmlqQqMbMkVY25JUn/FguH9kvlUcqCGHBqZm6SmWOAK4FjASJiceAC4LDMHA1sB7zSSf+vAjdm5obAjcVnSRpI5pakqjG3JFWJmSWpaiqZWyPXX53PnPwpfvHw95k49zx+8fD3+czJn2Lk+qsPxvCSJA2oUhbEMnNu3cflgCze7wTcl5n3Fu1mZuZrnVxid+D84v35wB4DNFVJAswtSdVjbkmqEjNLUtVUMbfG7rQJ373pWBa8NJ8jtx/PB4fvz5Hbj2fBS/P57k3HMnanTQZ6CpIkDajFWz2BrkTEScB+wBxg++LwW4GMiGuB1YBfZOYpnXRfIzOnAWTmtIjwayySBpy5JalqzC1JVWJmSaqaKuXWyPVX50sTDmX8R09n6p///q/j0x6ezrnHXsqfrrqb8Zd9kSO2P4Fpj0wfyKlIkjRgWnaHWETcEBEPdPLaHSAzj8nMtYELgXFFt8WBrYC9i58fjogd+jiPQyNickRMnj17dl8uJanNmVuSqqYMuWVmSWpUGTKrmIe5Jakh7ZRbu31mR64596bXFcPqTf3z37nmvEl86NA+TVXSUJVD/KXSaFlBLDN3zMx3dPL6TYemFwF7Fu+fBG7OzBmZ+SIwEXh3J5d/JiJGAhQ/u/zqSmZOyMyxmTl2pZXcn1RS18wtSVVThtwysyQ1qgyZVczD3JLUkHbKre0//h9cc96kbttcc+5NbP/x/+jV9SVJKoNS7iEWERvWfdwNeKh4fy2wSUQsW2xCui3wYCeX+C2wf/F+f6DjHyKS1K/MLUlVY25JqhIzS1LVVC23hq+6As88NqPbNtMfn8mIVVcYyGlIkjSgyrqH2MkRsRGwEHgMOAwgM2dHxBnAndRuNpyYmVcBRMQ5wFmZORk4Gbg0Ig4CHgc+1oI1SBpazC1JVWNuSaoSM0tS1VQqt+bOeJ411l2VaQ93vT/Y6uuswpwZzw/kNCS1qfCxgSqJUhbEMnPPbs5dAFzQyfGD697PBHyosaRBY25JqhpzS1KVVDWzllxySYavMIIRw4ez1DJLMf+l+cyZO5e5z89hwYIFgz0dSYOoarl106W3s8sB23HusZd22WaXA7fnpktvH6wpSZLU70r5yERJkiRJkqps+eWXZ61Ra3PLLybz31t8kw+s+Gn+e4tvcssvJrPWqLVZfvnlWz1FSfqX3/74BnY5cHs23uItnZ7feIu3sMsB2/G7CTcO8swkSeo/pbxDTJIkSZKkqlpyySVZfdU1+PqHTmXqHX//1/Fpj0znJ9+4hNt+exff/t2XWLBggXeKSSqFaY9M59RDJzD+si9yzXmTuObcm5j++ExWX2cVdjlwe3Y5YDtOPXQC0x7p+pGKkiSVnXeISZIkSZLUj4avMIIrz/7964ph9abe8XeuOuf3DF9hxCDPTJK6Nvm6+zhi+xNYYqklOOP3x/G7587ljN8fxxJLLcER25/A5Ovua/UUJVVRAplD+6XS8A6xFvnSDj/sdd9Tb/xcP85E0lBz9Nbf7VW/WHKJXo9pbknqiy/919m969iHuy7MLUm99aU9L+CiP3ydiT+5qdt2V51zEzt8amu+tGexjdBzc3o9ppklqb9Me2Q6E752MRO+dnFD7Xv777fMLUlSK1gQGyJWveHx3nXsQwX71KsP6XVfSTK3JFWNuSVpkeErL88zj8/ots30J2YyYuXlBmlGb2RmSVpk2FqjetexD4X83jC3JLWziBgGfAH4DLAe8CxwKXBsZr7Q4DV2Bb4BbArMB24EvpyZj3Rotx3Q1be3rsrMD/b22mVnQUySJEmVM3LdVfjg/luz/R7vYfjKyzN31jxuuuIurjz/VqY9NrPV05M0xM2dNY811lm12712Vl97FebMaujfbUiSJKn9nQkcDvwaOB3YuPj8rojYMTMXdtc5Ij4CXAbcC3wJGAEcAfwxIsZm5tOddJsA3Nrh2JP9dO1SsiAmSZKkShm73cZ88cy9uebcSRz5/hN55vEZrLHOquyy3zacccWRnH7khUyeNLXV05Q0hN105b3ssv+2nDv+l1222eWA7Zh05ZTBm5QkSVKLhNtodSsiRgOfB36VmXvWHX8E+B7wCeCibvovAXwfeALYOjPnFcevBu4CxgOHdtL19sy8oIe59fbapTSs1ROQJEmSGjVy3VX44pl7M/7jZ3Lu8Zcx7ZHpLHxtIdMemc65x1/G+I+fyRfP3JuR667S6qlKGsKuvPB2dvn0dmy8+Vs6Pb/x5m9hlwO35cqL/jTIM5MkSVIJfRII4Lsdjp8NvAjs00P/bYFRwDmLClYAmTkFmATsVRS23iAilouIpQfi2mVkQUySJEmV8cH9t+aacycx9Y5/dHp+6h3/4JrzbuaD+209yDOTpH+b9sQsTv/qLxl/2ZEcePzHGbn+6iy2+GKMXH91Djz+44y/7EhO/+ovmfbErFZPVZIkSa23GbAQuKP+YGa+DEwpzvfUH+D2Ts79CRgOvLWTc/8LzANeioj/FxFfiIjop2uXkgUxSZIkVcb2e7yHa352S7dtrjn/Zrbb492DNCNJ6tzkW/4fR+31I5ZceThn/P5YfjfzHM74/bEsufJwjtrrR0y+5f+1eoqSJEkqh1HAjMyc38m5p4BVI2LJHvovattZf4A16469AvwW+DKwG3AY8By1O9R+2sdrl5p7iEmSJKkyhq+8PM88PqPbNtOfmMmIlZcfpBlJUtemPTGLs78zkbO/M7HVU5EkSWod9xBbNSIm132ekJkT6j4vC3RWDAN4ua7Ngi7aLFv87OwaL3doQ2b+Edi9vlFEnA1MBA6IiJ9k5h96c+2ysyAmSXqDkeutxocO2Z7tP7oFw1dZgbkzn+emX03myp9OYtpj3f+LaEkaSHNnzWONdVZl2iPTu2yz+tqrMGfWvC7PS5IkSZI0iGZk5thuzr8IrN7FuaXr2nTXH2CpXvYnMxdGxP8AOwO7AosKYn2+dpn4yERJ0uuM3fEdnHn911nw0gKO2unbfGi1Qzlqp2+z4IWXOGPilxn7/tGtnqKkIeymK+5il/226bbNLvtvy6Qr7h6kGUmSJEmS1CdPU7uLrLOi05rUCmpd3R22qP+itp31h84fedjRo8XPVQfg2qVgQUyS9C8j11uNo390EMd/4nucd8KvmPbIsyx8bSHTHnmW8074Fcd/4nt88fv7M3LdVXu+mCQNgCvPv5VdDtyOjTd/c6fnN978zexywLZc+bNbB3dikiRJkiT1zp3UajWb1x+MiKWBMcDkTvp07A/wH52cey8wF2hkA9sNi5/PDMC1S8GCWIuNXHdVDjn+o1x0/3e48ukfctH93+GQ4z/qv2yW1BIfOmR7rjn/Zqbe+Y9Oz0+98x9c+7Nb+OCntx3kmUlSzbTHZnL6kRcy/tIjOXD8xxi5/uostvhijFx/dQ4c/zHGX3okpx95IdMem9nqqUqSJEnSkBdA5NB+NeASajutHdHh+CHU9ue68F//eUaMjIi3RUT9vl03A9OAgyNi+bq2mwLbAb/MzFfqjq/yhv+eanenjS8+/q631y47C2ItNPb9ozlj4pdZ8OJ8jtrlZD70pv/mqF1OZsGL830smaSW2P6jW3Dtz7u/q+Kan93Cdh/ebJBmJElvNHnSVI7a40yWHL4cZ9z4DX4342zOuPEbLDl8OY7a40wmT5ra6ilKkiRJktSQzLwf+CHwkYj4VUQcHBGnA2dQK0hdVNf8f4Cp1N1NVhSkvgCsDdwaEZ+NiK8C1wHPAsd1GPKaiPhNRBxbjHUscD+wJfD9zLyjD9cutcVbPYGhauS6q/LF7+/P8Xv/gKl3Pvyv49MefZbzvvVr/nztvRx34TiO2vUUpj02o4UzlTSUDF9lBZ55vPu7KqY/MYsRqyzfbRtJGmjTHpvJ2SdewdknXtHqqUiSJEmS1FdHUNvD61DgA8AM4PvAsZm5sKfOmfnLiHgJ+AZwGjAfuBH4SmZ23OPrMmAP4PPAisALwD3AcZl5cR+vXWoWxFrkg5/ejmt+duvrimH1pt75MNf+/FY++OltOfu4ywd5dpKGqrkzn2eNdVZh2iPPdtlm9bVXZs7MeYM4K0mSJEmSJKl9ZeZrwOnFq7t2BwAHdHHuSuDKBsb6DvCdJufX0LXLzkcmtsj2H9mMay/4Q7dtrvn5H9juIz6WTNLguemyP7Pzvlt322aX/bZh0q/v7LaNJEmSJEmSRKYvlYZ3iLXI8FWW55knengs2ZOzGLHyGx9L9qWdf9z8gIst1nwfSUPO786+iTOv/zp/vvpept75jzec33izN7Pzfttw1K6nNHVdc0tS1ZhbkqrEzJJUNeaWJKkVLIi1yIKXF7DG2qsw7dFuHku21srMf3kBp974uX8d69UfDACvvcap136md30ltZXTbj2i2/PPzZvJSVccxcSfTuKqn05i+hOzWH3tlfnAp7dj109vx/QZz3DUT/dqeDxzS1JfnXr1IYM6nrklqS9OvXyfQR3PzJLUV+aWJGmosCDWInPmzmHXA7fhJ93sD/aBA7dl7vNzB3FWkgTz5s1jwYIFbPWxd7Prp7dj6WWW4uWX5jP3+bk8+fQTLFiwoNVTlCRJkiRJkqSmWBBrkbnPz+EDB27LbVfew9Q7H37D+Y0324BdD9yGJ59+ogWzkzTULViwgBkzn2XGzK7vYpUkSZIkSZJ6Em6jpZKwINYiCxYsYPqMZzjp8iOYeO4tXHXuzUx/charr7UyHzhwW3Y9cBumz3jGOzEkSZIkSZIkSZL6aFirJ9CZiDgxIu6LiCkRcV1EjKo7t0lE3B4Rf4mI+yNi6U76j4+Ip4r+UyJi18FdQWPmzZvHk08/wVYfHcMPb/kmv5v2f/zwlm+y1UfH8OTTTzBv3rxWT1FSg4ZKbklqH+aWpCoxsyRVjbklSVL5lPUOsVMz85sAEXE4cCxwWEQsDlwA7JuZ90bEKsArXVzjzMw8bXCm23s+lkxqG0MmtyS1DXNLUpWYWZKqxtySJKlkSlkQy8y5dR+XAxY9ZXQn4L7MvLdoN3Ow5yZJnTG3JFWNuSWpSswsSVVjbklSHfcQU0mU8pGJABFxUkQ8AexN7Vs0AG8FMiKujYi7I+LL3VxiXHFr+k8jYqUBn7CkIc/cklQ15pakKjGzJFWNuSVJUrm0rCAWETdExAOdvHYHyMxjMnNt4EJgXNFtcWAran9IbAV8OCJ26OTyPwLeDIwBpgGndzOPQyNickRMnj17dr+tT1L7MbckVU0ZcsvMktSoMmRWMQ9zS1JDzC1JkqqlZY9MzMwdG2x6EXAVcBzwJHBzZs4AiIiJwLuBGztc+5lF7yPibODKbuYxAZgAMHr0aG/elNQlc0tS1ZQht8wsSY0qQ2YVbc0tSQ0xtyRJqpZSPjIxIjas+7gb8FDx/lpgk4hYttiEdFvgwU76j6z7+GHggYGaqySBuSWpeswtSVViZkmqGnNLkv4tcmi/VB4tu0OsBydHxEbAQuAx4DCAzJwdEWcAd1Lbim9iZl4FEBHnAGdl5mTglIgYU7R5FPjMoK9A0lBjbkmqGnNLUpWYWZKqxtySJKlkSlkQy8w9uzl3AXBBJ8cPrnu/7wBNTZI6ZW5JqhpzS1KVmFmSqsbckiSpfEr5yERJkiRJkiRJkiSpv5TyDjFJkiRJkiRJklRxCSx0Iy2Vg3eISZIkSZIkSZIkqa1ZEJMkSZIkSZIkSVJb85GJFXPqtZ9p9RQkqSnmlqSqMbckVYmZJalqzC1JUqtYEJMkSZIkSZIkSQPDLcRUEj4yUZIkSZIkSZIkSW3NgpgkSZIkSZIkSZLamgUxSZIkSZIkSZIktTX3EJMkSZIkSZIkSQMi3ENMJeEdYpIkSZIkSZIkSWprFsQkSZIkSZIkSZLU1iyISZIkSZIkSZIkqa25h5gkSZIkSZIkSRoY6SZiKgfvEJMkSZIkSZIkSVJbsyAmSZIkSZIkSZKktmZBTJIkSZIkSZIkSW3NPcQkSZIkSZIkSdKACLcQU0l4h5gkSZIkSZIkSZLamgUxSZIkSZIkSZIktbXI9H7FRSLiWeCxVs+jsCowo9WTGECur7raYW3rZuZqrZ5EfzC3Bk07rw1cXxW0RW6ZWYPK9VVbO6zP3Op/7fB70R3XV13tsLa2yCwoVW61w+9Fd1xftbXD+iqTWyuMWCvHvvfzrZ5GS0267qt3ZebYVs9D7iH2OmUKkYiY3M7/kLi+6mrntVWRuTU42nlt4Po0eMysweP6qq3d11cl5tbgcX3V1c5rq6Ky5Fa7/164vmpr9/WVThYvqQR8ZKIkSZIkSZIkSZLamgUxSZIkSZIkSZIktTULYuU1odUTGGCur7raeW3qm3b+3WjntYHr09DU7r8Xrq/a2n196p12/71wfdXVzmtT77X774Xrq7Z2X5+kLkSmD/CUJEmSJEmSJEn9a/jwtXLsFuNaPY2WuumGr93lvnXl4B1ikiRJkiRJkiRJamsWxCRJkiRJkiRJktTWLIi1WESsHRE3RcTUiPhLRHyhOP6x4vPCiKjs7ZTdrO/UiHgoIu6LiF9HxIotnmqvdLO+E4u1TYmI6yJiVKvn2htdra/u/NERkRGxaqvmqMFnbplbZWVmqSvtnFtmVnUzC8wtda6dMwvMLXNL7cjcMrfKyswqkYVD/KXScA+xFvv/7d17uFxVmefx7yv3W2gkhE4URJiIgC2xO4ijCB1BLqKg0D7CgCIRMdKo8QLYgoSgKG242Y4CAcLYAwiojCAQQCDSiKIGmpugw4hcjQnBSIJCIp53/qgduzipc3JyLrUv5/t5nnpO1d5r7XqXOflRcdXaKyLGA+Mz8+6I2AS4C3g3kLT+upwPfCYz55dX5eD1M75XArdm5osR8a8AmXlCeZUOTj/jezIzlxZtPg7smJnTyqt0cPoaX2Y+GBFbARcCrwX+ITMXl1mrusfcMreqysxSX5qcW2ZWfTMLzC111uTMAnOraGNuqVHMLXOrqsysahgz5pU5eZdRvofYre4hVhWuECtZZi7IzLuL58uAh4BXZOZDmfmrcqsbun7Gd1Nmvlg0u5PWh4ja6Wd8S9uabUTrQ2Dt9DW+4vTZwPHUdGwaPHMLMLcqycxSX5qcW2YWUNPMAnNLnTU5s8DcKphbahRzCzC3KsnMktTb2mUXoP8SEdsAbwB+WnIpI6Kf8U0Fruh6QcOs9/gi4jTgA8CzwJTyKhse7eOLiAOApzLz3ogotzCVytyqtybnlpmlvjQ5t8ysejO31EmTMwvMrfIqGx7mljoxt+qtybllZkkCV4hVRkRsDHwXmN7rGxiN0Nf4IuJE4EXg0rJqGw6dxpeZJ2bmVrTGVut1we3jo/XndSJwcpk1qXzmlrlVVWaW+tLk3DKz6ptZYG6psyZnFphbmFtqIHPL3KoqM6t8kTmqH6oOJ8QqICLWoRXKl2bmVWXXM9z6Gl9EHAG8Ezgss77JMIA/v8uAg7tb1fDpML7tgFcD90bEo7RuCXB3RPxteVWq28wtc6uqzCz1pcm5ZWbVN7PA3FJnTc4sMLcwt9RA5pa5VVVmlqR23jKxZNFal3sR8FBmnlV2PcOtr/FFxL7ACcAemfmnsuobqn7GNzEzHy5eHgD8soz6hqrT+DLzfmBcW5tHgcnp5qOjhrllblWVmaW+NDm3zCygppkF5pY6a3JmgblVvDS31CjmlrlVVWaWpN6ixl9eaISI2A24Hbgf6CkOfw5YD/gasAXwB+CezNynjBqHop/x/RutMT5THLszM6d1v8Kh6Wd8HwK2L449BkzLzKdKKXII+hpfZl7f1uZR/OAwqphb5lZVmVnqS5Nzy8yqb2aBuaXOmpxZYG5hbqmBzC1zq6rMrGoYM+aVucvkfy67jFLdOu9zd2Xm5LLrkBNikiRJkiRJkiRpBIzZxAmxW3/ohFhVuIeYJEmSJEmSJEmSGs0JMUmSJEmSJEmSJDWaE2KqlYh4NCKej4hlEfGHiPhxREyLiGH/XY6I10TE1RHxdET8PiJujIjte7X5ZET8LiKejYg5EbHecNchqd6qlFsR8bri2OKI8J7JklZRscw6IiLuioilEfFkRHwlItYe7jok1VvFcuuQiPhV8e/DRRHxzYgYM9x1SKq3KuVWr7a3RkT6eUtSkzkhpjp6V2ZuArwKOB04AbhoBN7nb4BraG0guiXwM+DqlScjYh/gs8CewDbAtsDMEahDUv1VIreAPwNX0tocWZL6UpXM2hCYDowFdqX1meszI1CHpPqrSm7dAbwlMzel9e/DtYEvjkAdkuqvKrkFQEQcRiuzpBGQkKP8ocpwQky1lZnPZuY1wPuAIyLidQARsX9E/GfxbeInIuKUlX0i4rqI+Fj7dSLivoh4d4fr/ywzL8rM32fmn4Gzge0jYvOiyRHARZn5i8xcAnwB+OAIDFVSQ5SdW5n5q8y8CPjFiA1SUmNUILPOzczbM3NFZj4FXAq8ZaTGK6n+KpBbT2Tm4rYufwH+23CPU1JzlJ1bRd9NgRnA8SMxRkmqEifEVHuZ+TPgSeCtxaE/Ah+g9S2Y/YGPtn0o+CZw+Mq+EbEz8Arg+gG81e7A7zLzmeL1TsC9befvBbZs/1AhSZ2UmFuStMYqlFm744S+pAEoM7ciYreIeBZYBhwMnDOEoUgaJUr+vPUl4Fzgd4MfgSTVgxNiaorfAi8HyMwfZub9mdmTmfcB3wL2KNpdDUyMiInF6/cDV2Tmiv4uHhGvBL4OfKrt8MbAs22vVz7fZEgjkTRalJFbkjRYpWZWRBwJTAbOGPJIJI0WpeRWZv6ouGXiK4FZwKPDNB5Jzdf13IqIybRW4H9tWEciSRXlhJia4hXA7wEiYteImFdsGPosMI3W3hNk5nJa++ccXmxWeijwv/u7cERsAdwEfCMzv9V26jmgfYPklc+XDcN4JDVfGbklSYNVWmYV34Y+Hdiv163IJKk/pX7WKm71egNw+TCNR1LzdTW3ir7fAD6RmS+O0JgkACJH90PV4YSYai8idqH1oeFHxaHLaG0YulXxzbzzgGjr8k3gMFobs/8pM3/Sz7U3o/WB4ZrMPK3X6V8AO7e93hlY6K3JJK1OibklSWuszMyKiH2BC2htPH//MAxH0ihQoc9aawPbDWoQkkaVknJrDK0V+FdExO+AnxfHn4yItyJJDeSEmGorIsZExDtpfePukrb/k2QT4PeZ+UJEvBH4H+39ig8JPcCZ9PMNmogYA9wI3JGZn+3Q5N+BD0XEjsWHi5OA/zXEYUlqsLJzK1rWB9YtXq8fEesNw9AkNVAFMuttwKXAwcW+GpLUrwrk1mERsXXxmetVwGnALcMxNknNVHJuPQtMACYVj3cUx/8B+OkQhiVJleWEmOro+xGxDHgCOBE4Cziy7fwxwKlFm5NpLSPv7d+BvwMu6ed93gPsAhwZEc+1PbYGyMwbgK8A84DHiseMIY1MUlNVIreAVwHP01rhSvH8V4Mck6TmqkpmfR7YFLi+7dzcIY1MUlNVJbd2BH5M6/b6d9D6nPXhwQ9LUoOVnlvZ8ruVD+Dpos/C1e1HJkl1FZnexFKjT0R8ADg6M3cruxZJGghzS1KdmFmS6sbcklQ35pbqYswmr8g3vuGYssso1S23n3RXZk4uuw65QkyjUERsSOubNrPLrkWSBsLcklQnZpakujG3JNWNuSVJg+OEmEaViNiH1hLwhbQ2KJWkSjO3JNWJmSWpbswtSXVjbknS4K1ddgFSN2XmjcBGZdchSQNlbkmqEzNLUt2YW5LqxtySpMFzQkySJEmSJEmSJA2/hOgpuwipxVsmSpIkSZIkSZIkqdFcIdZms802ywkTJpRdhqQR9uCDDy7OzC3KrmM4mFvS6NCU3DKzpNHD3JJUJ03JLDC3pNGiSbkldZMTYm0mTJjAFVdcUXYZkkbY3/3d3z1Wdg3DxdySRoem5JaZJY0e5pakOmlKZoG5JY0WTcotqZucEJMkSZIkSZIkSSMjs+wKJMA9xCRJkiRJkiRJktRwlZwQi4gvRMR9EXFPRNwUERN6nd86Ip6LiM/00f+UiHiq6H9PRLyjO5VLGq3MLUl1Y25JqhMzS1LdmFuSJFVPJSfEgFmZ+frMnARcC5zc6/zZwNzVXOPszJxUPK4fiSIlqY25JaluzC1JdWJmSaobc0uSpIqp5B5imbm07eVGwF9vMhoR7wYeAf7Y5bIkqU/mlqS6Mbck1YmZJaluzC1JauMWYqqIqq4QIyJOi4gngMMovkUTERsBJwAzB3CJY4ul6XMiYrMRLFWSAHNLUv2YW5LqxMySVDfmliRJ1VLahFhE3BwRD3R4HAiQmSdm5lbApcCxRbeZtJaLP7eay58LbAdMAhYAZ/ZTx9ERMT8i5i9ZsmSow5LUYOaWpLqpQm6ZWZIGqgqZVdRhbkkaEHNLkqR6Ke2WiZm51wCbXgZcB8wAdgX+KSK+AvwN0BMRL2Tm/+x17YUrn0fEBbTu1dxXHbOB2QA77bSTizcl9cncklQ3VcgtM0vSQFUhs4q25pakATG3JEmql0ruIRYREzPz4eLlAcAvATLzrW1tTgGe6/2BoTg3PjMXFC/fAzwwshVLGu3MLUl1Y25JqhMzS1LdmFuS9F8inatXNVRyQgw4PSK2B3qAx4Bpq+sQERcC52XmfOArETGJ1nZ9jwIfGblSJQkwtyTVj7klqU7MLEl1Y25JklQxlZwQy8yDB9DmlF6vj2p7/v4RKEuS+mRuSaobc0tSnZhZkurG3JIkqXpeVnYBkiRJkiRJkiRJ0kiq5AoxSZIkSZIkSZLUAO4hpopwhZgkSZIkSZIkSZIazQkxSZIkSZIkSZIkNZoTYpIkSZIkSZIkSWo09xCTJEmSJEmSJEnDL4GesouQWlwhJkmSJEmSJEmSpEZzQkySJEmSJEmSJEmN5oSYJEmSJEmSJEmSGs09xCRJkiRJkiRJ0rALksgsuwwJcIWYJEmSJEmSJEmSGs4JMUmSJEmSJEmSJDWaE2KSJEmSJEmSJElqNPcQkyRJkiRJkiRJI8M9xFQRrhCTJEmSJEmSJElSozkhJkmSJEmSJEmSpEZzQkySJEmSJEmSJEmN5h5ikiRJkiRJkiRpZLiHmCrCFWKSJEmSJEmSJElqNCfEJEmSJEmSJEmS1GjeMlFqsB3HHjTovg8uvmoYK5GkgTG3JNWJmSWpbswtSXVjbkkaTk6ISZIkSZIkSZKk4ZdAT9lFSC3eMlGSJEmSJEmSJEmN5oSYJEmSJEmSJEmSGs1bJkqSJEmSJEmSpBERmWWXIAEVXSEWEV+IiPsi4p6IuCkiJhTHt4mI54vj90TEeX30f3lE/CAiHi5+btbdEUgabcwtSXVjbkmqEzNLUt2YW5IkVU8lJ8SAWZn5+sycBFwLnNx27teZOal4TOuj/2eBWzJzInBL8VqSRpK5JaluzC1JdWJmSaobc0uSpIqp5IRYZi5te7kRsKZrKg8Evlk8/ybw7mEoS5L6ZG5JqhtzS1KdmFmS6sbckiSpeiq7h1hEnAZ8AHgWmNJ26tUR8Z/AUuCkzLy9Q/ctM3MBQGYuiIhxI16wpFHP3JJUN+aWpDoxsyTVjbklSQX3EFNFlLZCLCJujogHOjwOBMjMEzNzK+BS4Nii2wJg68x8A/Ap4LKIGDPEOo6OiPkRMX/JkiVDuZSkhjO3JNVNFXLLzJI0UFXIrKIOc0vSgJhbkiTVS2kTYpm5V2a+rsPj6l5NLwMOLvosz8xniud3Ab8GXtPh8gsjYjxA8XNRP3XMzszJmTl5s83cn1RS38wtSXVThdwysyQNVBUyq7iOuSVpQMwtSdJwiYiXRcQnI+KXEfFCRDwREWdGxEZrcI13RMSPI+KPEfH7iPh2RLy6Q7s9IuLrEXF/RCyLiKcj4o6IODQiokP7H0ZE9vGYPNSxd1Ml9xCLiIltLw8Aflkc3yIi1iqebwtMBB7pcIlrgCOK50cAvT+ISNKwMrck1Y25JalOzCxJdWNuSZLW0NnAWcCDwMeAbwMfB74fEaudx4mIg4BrgQ2A44BZwO7AHRExoVfzf6W1V+UPgU8DXwLWovUFjtl9vMVi4P0dHp3+G1ZZVd1D7PSI2B7oAR4DphXHdwdOjYgXgb8A0zLz9wARcSFwXmbOB04HroyIDwGPA+/t9gAkjTrmlqS6Mbck1YmZJaluzC1JAiDdQ2w1ImInWpNgV2XmwW3HfwP8G3AIrcmqvvqvA3wNeAJ4a2Y+VxyfC9wFnAIc3dblBOBHmfmXtmt8FZgHHBURX83MB3q9zR8z85JBD7IiKjkh1v6H3uv4d4Hv9nHuqLbnzwB7jkx1krQqc0tS3ZhbkurEzJJUN+aWJGkNHAoEcE6v4xfQ+oLE4fQzIQbsAUwATl45GQaQmfdExA+B90XEP2fmn4vjt/W+QGb2RMR3aH1x43VA7wkxipVqGwPLMus5y1nJWyZKkiRJkiRJkiSNArvQWlH8s/aDmfkCcE9xfnX9AX7S4dydwBg671fZ2yuLnws7nHsF8BzwLPBcRFwVEa8dwDUrpZIrxCRJkiRJkiRJkkaBCcDizFze4dxTwJsjYt3MXNFP/5VtO/WH1oTWL/oqoNhn7CO09gT7Ua/TvwHuAO6jdbvfXYFjgT0jYrfMvL+v61aNE2KSJEmSJEmSJGn4Je4hBmMjYn7b69mZObvt9YZAp8kwgBfa2vQ1IbZh8bPTNV7o1WYVEbEh8H+AjYB3rby14kqZeWSvLt+JiGuAHwJnAW/v69pV44SYNAjf6jl50H0Pfdmpw1iJJA2MuSWpTswsSXVjbkmqG3NL6qrFmTm5n/N/Asb1cW79tjb99QdYb037R8T6wPeAycARmXl7P+/zV5l5e0T8BzAlIjbIzOcH0q9sTohJDfbg4qvKLkGS1oi5JalOzCxJdWNuSaobc0ujxG+BHSNivQ63TXwFrQm1vlaHrey/su1DHfpDh9sptk2G7QUclZmXrGHdjwL/CGwG1GJC7GVlFyBJkiRJkiRJkjRK/ZzWXM0b2w8WE1aTgPkd+vTuD/DfO5x7E7AU+L+9rr0erdsk7g0cnZlz1rhqmAi8CPx+EH1L4YSYJEmSJEmSJEkaGT2j/LF6V9DabW16r+MfprX316UrD0TE+Ih4bbHv10q3AQuAoyJi47a2O9NawfXt9n3Bismw7wH7ANMy88K+CouITSNirQ7H9wfeAvwgM19YtWc1ectESZIkSZIkSZKkEmTm/RHxdeDYiLgKuB7YAfg4rcmuy9qafxk4ApgC/LDo/+eI+AStibXbI+ICYAzwSeBpYEavt7wU2Be4GfhTRBze6/x9mXlf8XwKcFZEfB94hNaKsDcChwOLWXUSr9KcEJMkSZIkSZIkSSrPdFp7ch0N7E9rsulrwMmZudp1Zpn57Yh4HjgJOANYDtwCnJCZvfcPm1z83Kt49DYTWDkh9ivgLuCdwJbAOsCTwHnAlzpcu9KcEJMkSZIkSZIkSSpJZv4FOLN49Nfug8AH+zh3LXDtAN5rmzWo6yHgvQNtX3VOiEmSJEmSJEmSpBERmWWXIAHwsrILkCRJkiRJkiRJkkaSE2KSJEmSJEmSJElqNCfEJEmSJEmSJEmS1GjuISZJkiRJkiRJkkaGe4ipIlwhJkmSJEmSJEmSpEZzQkySJEmSJEmSJEmN5oSYJEmSJEmSJEmSGs09xCRJkiRJkiRJ0vBLoMc9xFQNrhCTJEmSJEmSJElSo7lCTJXy7rk3DarfBts/O+j3/Na27x10X0kytyTVzWByy8ySRt6n3vDFQfc96z9PGsZKqsXPWlJ1fXrylwfd98z5/zKMlVSLuSVJ1eUKMUmSJEmSJEmSJDWaK8QkSZIkSZIkSdIISEj3EFM1uEJMkiRJkiRJkiRJjVbJCbGI+EJE3BcR90TETRExoTi+TUQ8Xxy/JyLO66P/KRHxVFu7d3R3BJJGG3NLUt2YW5LqxMySVDfmliRJ1VPVWybOyszPA0TEx4GTgWnFuV9n5qQBXOPszDxjhOqTpN7MLUl1Y25JqhMzS1LdmFuSJFVMJSfEMnNp28uNAG8yKqnSzC1JdWNuSaoTM0tS3ZhbktTGPcRUEZW8ZSJARJwWEU8Ah9H6Fs1Kr46I/4yI2yLirf1c4thiafqciNhsZKuVJHNLUv2YW5LqxMySVDfmliRJ1VLahFhE3BwRD3R4HAiQmSdm5lbApcCxRbcFwNaZ+QbgU8BlETGmw+XPBbYDJhV9zuynjqMjYn5EzF+yZMnwDVBS45hbkuqmCrllZkkaqCpkVlGHuSVpQMwtSZLqpbRbJmbmXgNsehlwHTAjM5cDy4v+d0XEr4HXAPN7XXvhyucRcQFwbT91zAZmA+y0006u3ZTUJ3NLUt1UIbfMLEkDVYXMKtqaW5IGxNxqGb/tOA6Y9namvO8tjBm7CUsXL2PeFXdwzXk/YMEji7pdjiRJfarkLRMjYmLbywOAXxbHt4iItYrn2wITgUc69B/f9vI9wAMjV60kmVuS6sfcklQnZpakuhktuTV5750557aZLP/jcj6x2+d5xwaH8YndPs/yPy7nnNtmMnnvncsuUVIVZI7uhyqjtBViq3F6RGwP9ACPAdOK47sDp0bEi8BfgGmZ+XuAiLgQOC8z5wNfiYhJtDYsfRT4SHfLlzQKmVuS6sbcklQnZpakuml8bo3fdhzHXTSNk9/9FR668+G/Hl/wyELmnHQ5P7n2Lk793vFM32OGK8UkSZVQyQmxzDy4j+PfBb7bx7mj2p6/f4RKk6SOzC1JdWNuSaqT0ZxZ47fdkgOP2Ycph7yZMWPHsHTxUuZd/mOu/saNLHhk4eovIKkUoyG3Dpj2duZeeMtLJsPaPXTnw8y96Fbe9ZG3M/uES7tcnSRJq6rkLRMlSZIkSRrtdtlnEl/90RdY/vwKpu8+g/03Opzpu89g+fMr+OqPvsAu+0wqu0RJo9iU972FuXPm9dtm7kW3MuV9b+5SRZIk9a+SK8QkSZIkSRrNxm+7JcddfAwzDpq1yq3ILv785dx53V3MvOo4PrHb50usUtJoNmbsJix87Ol+2yx6fDGbjt2kSxVJqqQEetxHS9XgCjFJkiRJkirmwGP2Ye5Ft/Z7K7Ib5tzKAR/du8uVSVLL0sXL2PJVW/TbZtzWY3l28bIuVSRJUv9cIaYR8cFzbhpcx+2Htw5Jq/rU339p0H3Puvtzw1hJtZhbUnUNJbcGqw55Z25J1TRcmTXlkDczffcZ/baZO2ceZ982k98ufnJY3nMkmVlSdQ02t6adcTj7TZ3CnJMu77PNfh96G/Ou+PFgSyuVuSVJzeOEmCplg4UxuI4L/4ZvffDtw1tMPw592aldey9J1WZuSdU3fttxHPjRvZlyyFsYM3YTli5exrzL7+Dqc29iwSOLyi6v6waVW2aWNOJi7XVe8nrM2DEDvhXZbxePZGXl8rOWVF3XnHcL59w2g59ce1fH1aw7vGki+33obUzfYybE6LlJlbklSdU1ev5rJEmSpFFnl3125qu3n8ry51cwffeT2X+jw5m++8ksf34FX739VHbZZ+eyS5SkjrwVmaSqW/CbRcw66nxO/d7xTD3tUMZvuyVrrb0W47fdkqmnHcqp3zueWUedz4LfjL4vIElql5A9o/uhynBCTJIkSY00fttxHDfno8w4aBYXf/5yFjyykJ6/9LDgkYVc/PnLmXHQLI6b81HGbzuu7FIlaRXzrvgx+x45pd82+02dwrwrftKliiRpVfNvuo/pe8xk3Q3W45zbT+W6P/5vzrn9VNbdYD2m7zGT+TfdV3aJkiT9lRNikiRJaqQDP7o3cy+6teMtfAAeuvNhbphzKwdM696taSRpoK4572b2+9Db2OFNEzue3+FNE9l36tv4/vk3d7kySXqpBb9ZxOzPXsahr/4Y79jkgxz66o8x+7OXuTJMklQ5TohJkiSpkaYc8hZuuHhev23mzpnHlEPe0qWKJGngVt6KbOZVxzH1i4e89FZkXzyEmVcd563IJEmSpDWwdtkFSJIkSSNhzNhNWPjY0/22WfT4YjYdu0mXKpKkNbPyVmTv+shenH3bTDYduwnPLl7GvCt+wvQ9ZjoZJkmS6iGz7AokwAkxSZIkNdTSxcvY8lVbsOCRhX22Gbf1WJ5dvKyLVUnSmll5K7LZn72s7FIkSZKkWvOWiZKkPo3fdhzTZh3OFU+cy9znL2G7bbZj7Mu3YN111y27NElarXmX38G+R07pt81+U6cw7/I7ulSRJEmSJEkqixNikqSOdtlnZ756+6ksf+HPTN9jBvtv/AGmTf4X/uNbP+OVE7Zi4403LrtESerX1efexH4fehs7vGlix/M7vGki+059G9ec94MuVyZJkiRJkrrNWyZKklYxfttxHDfno8w46Ewe+unDfz2+4JFFXPgv3+KO783ny3M/y4oVK1ixYkWJlUpS3xY8sohZU89l5lXHccOcW5k7Zx6LHl/MuK3Hst/UKew79W3MmnouCx5xDx5JkiRJGhEJ9LiHmKrBFWKSpFUc+NG9mTtn3ksmw9o99NOHuW72LYzZZNMuVyZJa+bnN97LJ956Muustw5n3zaTa5f9O2ffNpN11luHT7z1ZH5+471llyhJkiRJkrrAFWKSpFVMOeQtTN9jRr9trp19M/sfvSeLn3m6S1VJ0uAseGQR5x9/Kecff2nZpUiSJEmSpJK4QkyStIoxYzdh4WOL+22z6PFnWH+D9bpUkSRJkiRJkiQNnivEJEmrWLp4GVu+amy/++qM23pzXnh+eRerkiRJkiRJUu2ke4ipGlwhJklaxbzL72DfI6f02+adR+/F0mVLu1SRJEmSJEmSJA2eE2IjZN1112Xsy7dgu222Y8cdd2S7bbZj7Mu3YN111y27NElaravPvYn9pk5hh10ndjy/w64T2f/oPVm67NkuVyZJkiRJkiRJa85bJg7RZ956zirHJu/1Oj7zjanMnTOPGy6ex8LHFrPlq8ay75FT2G/qFM44Zg7zb36AM26f3rU6jzzrpkH161krBtVvcL0kVcWCRxYxa+q5zLzq09xw8TzmzpnHosefYdzWm/POo/di/6P3ZNHihaxYsWLEajC3JNWNuSWpTswsSXVjbkk15i0TVRFOiA2z8dtswWe+MZUZB53JQz99+K/HFzyyiIs/fwV3Xns3M6/6NJ/c+8slVjny1vtDzyD7wfmn7Du8xUh6iZdttOGA2t31o4f55N5f5p1HTeHs22ay6eYbs/yFFSxdtpQnf/vEiE6GlcHckqproLnVSTe/gNRt5pZUTWZWZ2aWVF3mVmfmliQ1jxNiw+xdH57C3DnzXjIZ1u6hnz7MDRfP451H9b83jyRVwYJHn+aCk67kgpOuBJr9jx1JkiRJkiRJzeUeYsNsyj/tyg0Xz+u3zdw585jyT7t2qSJJkiRJkiRJkqTRzRViw2zM5puw8LHF/bZZ9PgzbLr5xvz26S4VJUmSJEmSJElS16V7iKkyKrlCLCK+EBH3RcQ9EXFTRExoO/f6iPhJRPwiIu6PiPU79H95RPwgIh4ufm7WrdqXPrOMLV81tt8247benGefea5LFUnqhjrnlqTRydySVCdmlqS6MbckSaqeSk6IAbMy8/WZOQm4FjgZICLWBi4BpmXmTsA/An/u0P+zwC2ZORG4pXjdFfO+81P2PbL//cH2mzqFed/5aZcqktQltc0tSaOWuSWpTswsSXVjbkmSVDGVnBDLzKVtLzcCVq6p3Bu4LzPvLdo9k5l/6XCJA4FvFs+/Cbx7hEpdxfcvmMd+U6eww64TO57fYdeJ7HvkFK69sP99xiTVS51zS9LoZG5JqhMzS1LdmFuSJFVPZfcQi4jTgA8AzwIrl1y9BsiIuBHYArg8M7/SofuWmbkAIDMXRMS4btQMsODRpznjmDnMvOrT3HDxPObOmceix59h3Nabs9/UKex75BTOOGYOCx51AzGpaeqaW5JGL3NLUp2YWZLqxtySJFpfB+jpKbsKCShxhVhE3BwRD3R4HAiQmSdm5lbApcCxRbe1gd2Aw4qf74mIPYdYx9ERMT8i5i9ZsmQol/qr+Tc/wCf3/jLrbLQBZ982k2uX/i/Ovm0m62y0AZ/c+8vMv/mBYXkfSd3V5NyS1ExVyC0zS9JAVSGzijrMLUkDYm5JklQvpa0Qy8y9Btj0MuA6YAbwJHBbZi4GiIjrgb+ndS/ldgsjYnzxDZrxwKJ+6pgNzAbYaaedsq92a2rBo09zwUlXcsFJVw7XJSWVrOm5Jal5qpBbZpakgapCZhV1mFuSBsTckiSpXiq5h1hEtG/AdQDwy+L5jcDrI2LDYhPSPYAHO1ziGuCI4vkRwNUjVaskgbklqX7MLUl1YmZJqhtzS5Kk6qnqHmKnR8T2QA/wGDANIDOXRMRZwM9p3X30+sy8DiAiLgTOy8z5wOnAlRHxIeBx4L0ljEHS6GJuSaobc0tSnZhZkurG3JKkldLFq6qGSk6IZebB/Zy7BLikw/Gj2p4/Awzp/suStCbMLUl1Y25JqhMzS1LdmFuSJFVPJW+ZKEmSJEmSJEmSJA0XJ8QkSZIkSZIkSZLUaJW8ZaIkSZIkSZIkSWoA9xBTRTghVqLj9vz6oPrNuuWfh7kSSRoYc0tS3ZhbkurEzJJUN+aWJKlOnBAbohg3dnAd//Ds8BayGmNvfnxwHYcwez9r7ocH3VfSyDG3+mZuSdVkbvXN3JKqx8zqm5klVZO51TdzS5KaxT3EJEmSJEmSJEmS1GiuEJMkSZIkSZIkSSMgocc9xFQNrhCTJEmSJEmSJElSozkhJkmSJEmSJEmSpEZzQkySJEmSJEmSJEmN5h5ikiRJkiRJkiRp+CVk9pRdhQS4QkySJEmSJEmSJEkN54SYJEmSJEmSJEmSGs0JMUmSJEmSJEmSJDWae4hJkiRJkiRJkqSR0ZNlVyABrhCTJEmSJEmSJElSwzkhJkmSJEmSJEmSpEZzQkySJEmSJEmSJEmN5h5ikiRJkiRJkiRpZKR7iKkaXCEmSZIkSZIkSZKkRnOFWA0dt8/5a95prbWGvxBJGiBzS1LdmFuS6sTMklQ35pYkqQxOiA3RrO8e3tX3G9QHBoC//IVZN35keIuRVEvmlqS6Mbck1YmZJaluzC1J0mjhhJgkSZIkSZIkSRp+mdDTU3YVEuAeYpIkSZIkSZIkSWq4Sk6IRcQXIuK+iLgnIm6KiAlt514fET+JiF9ExP0RsX6H/qdExFNF/3si4h3dHYGk0cbcklQ35pakOjGzJNWNuSVJUvVUckIMmJWZr8/MScC1wMkAEbE2cAkwLTN3Av4R+HMf1zg7MycVj+u7ULOk0c3cklQ35pakOjGzJNWNuSVJUsVUcg+xzFza9nIjIIvnewP3Zea9Rbtnul2bJHVibkmqG3NLUp2YWZLqxtySpDaZq28jdUFVV4gREadFxBPAYRTfogFeA2RE3BgRd0fE8f1c4thiafqciNhsxAuWNOqZW5LqxtySVCdmlqS6MbckSaqW0ibEIuLmiHigw+NAgMw8MTO3Ai4Fji26rQ3sRuuDxG7AeyJizw6XPxfYDpgELADO7KeOoyNifkTMX7JkybCNT1LzmFuS6qYKuWVmSRqoKmRWUYe5JWlAzC1JkuqltFsmZuZeA2x6GXAdMAN4ErgtMxcDRMT1wN8Dt/S69sKVzyPiAlr3au6rjtnAbICddtrJtZuS+mRuSaqbKuSWmSVpoKqQWUVbc0vSgJhbkiTVSyVvmRgRE9teHgD8snh+I/D6iNiw2IR0D+DBDv3Ht718D/DASNUqSWBuSaofc0tSnZhZkurG3JKk/5I9PaP6oeoobYXYapweEdsDPcBjwDSAzFwSEWcBP6e1Gen1mXkdQERcCJyXmfOBr0TEpKLNo8BHuj4CSaONuSWpbswtSXViZkmqG3NLkqSKqeSEWGYe3M+5S4BLOhw/qu35+0eoNEnqyNySVDfmlqQ6MbMk1Y25JUlS9VTylomSJEmSJEmSJEnScKnkCjFJkiRJkiRJklR3CZllFyEBrhCTJEmSJEmSJElSwzkhJkmSJEmSJEmSpEbzlok1M+vGj5RdgiStEXNLUt2YW5LqxMySVDfmliSpLE6ISZIkSZIkSZKk4ZdAj3uIqRq8ZaIkSZIkSZIkSZIazQkxSZIkSZIkSZIkNZoTYpIkSZIkSZIkSWo09xCTJEmSJEmSJEkjI3vKrkACXCEmSZIkSZIkSZKkhnNCTJIkSZIkSZIkSY3mhJgkSZIkSZIkSZIazT3EJEmSJEmSJEnSsEsge7LsMiTAFWKSJEmSJEmSJElqOCfEJEmSJEmSJEmS1GjeMlGSJEmSJEmSJA2/TMiesquQAFeISZIkSZIkSZIkqeGcEJMkSZIkSZIkSVKjOSEmSZIkSZIkSZKkRnMPMUmSJEmSJEmSNCKyJ8suQQIgMv1lXCkingYeK7uOwlhgcdlFjCDHV19NGNurMnOLsosYDuZW1zR5bOD46qARuWVmdZXjq7cmjM/cGn5N+L3oj+OrryaMrRGZBZXKrSb8XvTH8dVbE8ZXm9waEy/PXV/29rLLKNXNPVfelZmTy65DrhB7iSqFSETMb/JfEsdXX00eWx2ZW93R5LGB41P3mFnd4/jqrenjqxNzq3scX301eWx1VJXcavrvheOrt6aPT/UUES8DPgF8BNgGeBq4Ejg5M/84wGu8AzgJ2BlYDtwCHJ+Zv+nQdlPgi8BBwObAr4H/CZyXHVZRrcm1q8w9xCRJkiRJkiRJkspzNnAW8CDwMeDbwMeB7xeTZf2KiIOAa4ENgOOAWcDuwB0RMaFX23WBHwDTgCuK9/sV8A1gxlCuXXWuEJMkSZIkSZIkSSMje8quoNIiYidak1JXZebBbcd/A/wbcAhwWT/91wG+BjwBvDUznyuOzwXuAk4Bjm7rchSwC/DxzPxaceyCiPgu8LmIuDgzHxvktSvNFWLVNbvsAkaY46uvJo9NQ9Pk340mjw0cn0anpv9eOL56a/r4NDhN/71wfPXV5LFp8Jr+e+H46q3p41P9HAoEcE6v4xcAfwIOX03/PYAJwIUrJ6wAMvMe4IfA+4qJrZX+R3HdC3pd5xxgHeB9Q7h2pUWH20FKkiRJkiRJkiQNyZh4ee4ae5ZdRqluzu/c1d++dRFxI7AXsGFmLu917g7gNf3tERkR/wJ8CXh7Zt7c69xpwOeA12XmL4rbLz4H3J2Zu/Vqux6tibKrMvO9a3rtfv9HqAhXiEmS6wGxaQAABdNJREFUJEmSJEmSJJVjArC492RY4SlgbLHvV3/9V7bt1B/gFcXPzWjtBbZK2+L9n2lru6bXrjz3ECtZRGwF/Dvwt0APMDszvxoR76V1/80dgDdm5vzyqhy8fsY3C3gXsAL4NXBkZv6htEIHqZ/xfQE4sDi2CPhgZv62vEoHp6/xtZ3/DK1NFLfIzMXlVKluM7fMraoys9SXJueWmVXfzAJzS501ObPA3MLcUgOZW+ZWVZlZ1bCMJTfenN8ZW3YdJVs/ItozcHZmtt+6c0Og02QYwAttbVb00WbD4mena7zQq01/bVe237Dt9Zpcu/K8ZWLJImI8MD4z746ITWhtRPduIGkF9fnAZ2r8oaGv8b0SuDUzX4yIfwXIzBPKq3Rw+hnfk5m5tGjzcWDHzJxWXqWD09f4MvPB4kPFhcBrgX/wg8PoYW6ZW1VlZqkvTc4tM6u+mQXmljprcmaBuVW0MbfUKOaWuVVVZpbqIiLuB8Zl5pYdzl0JvBdYLzM7TohFxNeAY2n9PX2o17ljgK8D+2TmTRGxObAYuDIz39fhWouA/5eZb17Ta6/puMvgLRNLlpkLMvPu4vky4CHgFZn5UGb+qtzqhq6f8d2UmS8Wze6k9SGidvoZ39K2ZhvR+hBYO32Nrzh9NnA8NR2bBs/cAsytSjKz1Jcm55aZBdQ0s8DcUmdNziwwtwrmlhrF3ALMrUoys1Qjv6V1W8T1Opx7Ba3bKfa1Omxl/5VtO/WH/7q94RLg+U5ti/ffnJfeHnFNrl153jKxQiJiG+ANwE9LLmVE9DO+qcAVXS9omPUeX7Gp4AeAZ4Ep5VU2PNrHFxEHAE9l5r0RUW5hKpW5VW9Nzi0zS31pcm6ZWfVmbqmTJmcWmFvlVTY8zC11Ym7VW5Nzy8xSxf0c2Bt4I3D7yoMRsT4wCfiPAfQH+O/Azb3OvQlYCvxfgMzsiYi7gTdExHr50n3L3khrEVX7it4BX7sOXCFWERGxMfBdYHqvb2A0Ql/ji4gTgReBS8uqbTh0Gl9mnpiZW9Ea27Fl1jdU7eOj9ed1InBymTWpfOaWuVVVZpb60uTcMrPqm1lgbqmzJmcWmFuYW2ogc8vcqiozSzVwBa3VitN7Hf8wrf25/povETE+Il4bEe37dt0GLACOKn7fV7bdGfhH4NuZ+ee29t8qrnt0r/ebTuvvyJVDuHalOSFWARGxDq1QvjQzryq7nuHW1/gi4gjgncBhmfXdzG4Af36XAQd3t6rh02F82wGvBu6NiEdp3RLg7oj42/KqVLeZW+ZWVZlZ6kuTc8vMqm9mgbmlzpqcWWBuYW6pgcwtc6uqzCzVQWbeT2svroMi4qqIOCoizgTOojUhdVlb8y/Tuv3nG9v6/xn4BLAVcHtEHBMRnwVuAp4GZvR6ywto7al3VkScWbzfVcBBwOmZ+ZshXLvSvGViyaK1Lvci4KHMPKvseoZbX+OLiH2BE4A9MvNPZdU3VP2Mb2JmPly8PAD4ZRn1DVWn8RUBPa6tzaPA5HTz0VHD3DK3qsrMUl+anFtmFlDTzAJzS501ObPA3CpemltqFHPL3KoqM0s1Mx14lNaqrf2BxcDXgJMzs2d1nTPz2xHxPHAScAawHLgFOCEzn+rVdkVE7AV8ETiU1r5hvwY+RmtibtDXrrqo8ZcXGiEidqN1X9D7gZW/2J8D1qP1C78F8Afgnszcp4wah6Kf8f0brTE+Uxy7MzOndb/CoelnfB8Cti+OPQZMq1s4QN/jy8zr29o8ih8cRhVzy9yqKjNLfWlybplZ9c0sMLfUWZMzC8wtzC01kLllblWVmSWpNyfEJEmSJEmSJEmS1GjuISZJkiRJkiRJkqRGc0JMkiRJkiRJkiRJjeaEmCRJkiRJkiRJkhrNCTFJkiRJkiRJkiQ1mhNikiRJkiRJkiRJajQnxCRJkiRJkiRJktRoTohJkiRJkiRJkiSp0ZwQkyRJkiRJkiRJUqM5ISZJkiRJkiRJkqRG+/98NicAWLen9gAAAABJRU5ErkJggg==\n",
+      "text/plain": [
+       "<Figure size 2160x1440 with 27 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "fig, ax = plt.subplots(5,5, figsize=(30,20))\n",
+    "\n",
+    "daycounter = 1\n",
+    "\n",
+    "for i in range(len(ax)):\n",
+    "    for j in range(len(ax)):\n",
+    "        data = netCDF4.Dataset(r'interaction_00'+ '%02d' % daycounter+'C.nc')\n",
+    "        \n",
+    "        c_results = data['C'][0,0,:,:].data.copy() # copying the final field data in a new array\n",
+    "        c_results[[field_for_size.U.data==0][0][0]]= np.nan # using a mask for fieldset.C.data on land\n",
+    "        c_results[c_results==0] = np.nan # masking the field where its value is zero -- areas that have not been modified by the particle, for clearer plotting\n",
+    "\n",
+    "    \n",
+    "        ax[i,j].set_facecolor('lightgrey') # For visual coherence with the plots above\n",
+    "\n",
+    "        fieldplot=ax[i,j].pcolormesh(x_centers[-28:-17,22:41],y_centers[-28:-17,22:41],c_results[-28:-18,22:40], vmin=0, vmax=0.2,cmap='viridis') \n",
+    "    \n",
+    "        particle = ax[i,j].scatter(pset_traj['lon'][:].data[0,daycounter-1],pset_traj['lat'][:].data[0,daycounter-1], c=pset_traj['c'][:].data[0,daycounter-1],vmin=0, vmax=100, s=100, edgecolor='white')  \n",
+    "        # plotting particle location at current time step -- daycounter-1 due to different indexing\n",
+    "        \n",
+    "        ax[i,j].set_title('Day '+ str(daycounter-1))\n",
+    "    \n",
+    "        daycounter +=1 # next day\n",
+    "\n",
+    "fig.subplots_adjust(right=0.8)\n",
+    "fig.subplots_adjust(top=0.8)\n",
+    "        \n",
+    "cbar_ax = fig.add_axes([0.82, 0.12, 0.03, 0.7])\n",
+    "fig.colorbar(fieldplot, cax=cbar_ax)\n",
+    "cbar_ax.tick_params(labelsize=18)\n",
+    "cbar_ax.text(.4,.08,'$C_{field}$ concentration', fontsize=25, rotation=270)\n",
+    "\n",
+    "cbar_ax1 = fig.add_axes([0.1, .85, .7, 0.04])\n",
+    "fig.colorbar(particle, cax=cbar_ax1, orientation = 'horizontal')\n",
+    "cbar_ax1.tick_params(labelsize=18)\n",
+    "cbar_ax1.text(42,170,'$c_{particle}$ concentration', fontsize=25);"
+   ]
   }
  ],
  "metadata": {
@@ -393,7 +482,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.6.13"
+   "version": "3.8.10"
   }
  },
  "nbformat": 4,
diff --git a/parcels/field.py b/parcels/field.py
index bea518180..9fa07a45e 100644
--- a/parcels/field.py
+++ b/parcels/field.py
@@ -80,6 +80,8 @@ class Field(object):
            This flag overrides the allow_time_interpolation and sets it to False
     :param chunkdims_name_map (opt.): gives a name map to the FieldFileBuffer that declared a mapping between chunksize name, NetCDF dimension and Parcels dimension;
            required only if currently incompatible OCM field is loaded and chunking is used by 'chunksize' (which is the default)
+    :param to_write: Write the Field in NetCDF format at the same frequency as the ParticleFile outputdt,
+           using a filenaming scheme based on the ParticleFile name
 
     For usage examples see the following tutorials:
 
@@ -89,7 +91,8 @@ class Field(object):
     """
     def __init__(self, name, data, lon=None, lat=None, depth=None, time=None, grid=None, mesh='flat', timestamps=None,
                  fieldtype=None, transpose=False, vmin=None, vmax=None, time_origin=None,
-                 interp_method='linear', allow_time_extrapolation=None, time_periodic=False, gridindexingtype='nemo', **kwargs):
+                 interp_method='linear', allow_time_extrapolation=None, time_periodic=False, gridindexingtype='nemo',
+                 to_write=False, **kwargs):
         if not isinstance(name, tuple):
             self.name = name
             self.filebuffername = name
@@ -111,6 +114,7 @@ def __init__(self, name, data, lon=None, lat=None, depth=None, time=None, grid=N
         self.lat = self.grid.lat
         self.depth = self.grid.depth
         self.fieldtype = self.name if fieldtype is None else fieldtype
+        self.to_write = to_write
         if self.grid.mesh == 'flat' or (self.fieldtype not in unitconverters_map.keys()):
             self.units = UnitConverter()
         elif self.grid.mesh == 'spherical':
@@ -1304,7 +1308,7 @@ def write(self, filename, varname=None):
                                                       'nav_lat': nav_lat,
                                                       'time_counter': time_counter,
                                                       vname_depth: self.grid.depth}, attrs=attrs)
-        dset.to_netcdf(filepath)
+        dset.to_netcdf(filepath, unlimited_dims='time_counter')
 
     def rescale_and_set_minmax(self, data):
         data[np.isnan(data)] = 0
diff --git a/parcels/particleset/baseparticleset.py b/parcels/particleset/baseparticleset.py
index d7c00c3b6..094f52fae 100644
--- a/parcels/particleset/baseparticleset.py
+++ b/parcels/particleset/baseparticleset.py
@@ -491,6 +491,14 @@ def execute(self, pyfunc=AdvectionRK4, pyfunc_inter=None, endtime=None, runtime=
             if abs(time-next_output) < tol:
                 if output_file:
                     output_file.write(self, time)
+            if abs(time - next_output) < tol or dt == 0:
+                for fld in self.fieldset.get_fields():
+                    if hasattr(fld, 'to_write') and fld.to_write:
+                        if fld.grid.tdim > 1:
+                            raise RuntimeError('Field writing during execution only works for Fields with one snapshot in time')
+                        fldfilename = str(output_file.name).replace('.nc', '_%.4d' % fld.to_write)
+                        fld.write(fldfilename)
+                        fld.to_write += 1
                 next_output += outputdt * np.sign(dt)
             if abs(time-next_movie) < tol:
                 self.show(field=movie_background_field, show_time=time, animation=True)


Test patch:
diff --git a/tests/test_fieldset.py b/tests/test_fieldset.py
index 8938bb911..24e60b718 100644
--- a/tests/test_fieldset.py
+++ b/tests/test_fieldset.py
@@ -525,6 +525,36 @@ def SampleUV2(particle, fieldset, time):
     assert abs(pset.lat[0] - .5) < 1e-9
 
 
+@pytest.mark.parametrize('pset_mode', pset_modes)
+def test_fieldset_write(pset_mode, tmpdir):
+    filepath = tmpdir.join("fieldset_write.nc")
+    xdim, ydim = 3, 4
+    lon = np.linspace(0., 10., xdim, dtype=np.float32)
+    lat = np.linspace(0., 10., ydim, dtype=np.float32)
+    U = np.ones((ydim, xdim), dtype=np.float32)
+    V = np.zeros((ydim, xdim), dtype=np.float32)
+    data = {'U': U, 'V': V}
+    dimensions = {'U': {'lat': lat, 'lon': lon},
+                  'V': {'lat': lat, 'lon': lon}}
+    fieldset = FieldSet.from_data(data, dimensions, mesh='flat')
+
+    fieldset.U.to_write = True
+
+    def UpdateU(particle, fieldset, time):
+        tmp = fieldset.U[particle]  # noqa
+        fieldset.U.data[particle.ti, particle.yi, particle.xi] += 1
+        fieldset.U.grid.time[0] = time
+
+    pset = pset_type[pset_mode]['pset'](fieldset, pclass=ScipyParticle, lon=5, lat=5)
+    ofile = pset.ParticleFile(name=filepath, outputdt=2.)
+    pset.execute(UpdateU, dt=1, runtime=10, output_file=ofile)
+
+    assert fieldset.U.data[0, 1, 0] == 11
+
+    da = xr.open_dataset(str(filepath).replace('.nc', '_0005U.nc'))
+    assert np.allclose(fieldset.U.data, da['U'].values)
+
+
 @pytest.mark.parametrize('pset_mode', pset_modes)
 @pytest.mark.parametrize('mode', ['scipy', 'jit'])
 @pytest.mark.parametrize('time_periodic', [4*86400.0, False])