docs/content/tutorial/tutorial_linfa_3d.ipynb

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    "# LINFA Tutorial 2 - Three dimensions\n",
    "This LINFA tutorial will guide you through using the most common functionalities of LINFA with a hands-on examples.\n",
    "<br>\n",
    "\n",
    "* **What is LINFA?**\n",
    "<br> \n",
    "    LINFA is a library for variational inference with normalizing flow and adaptive annealing. LINFA accommodates computationally expensive models and difficult-to-sample posterior distributions with dependent parameters.\n",
    "    \n",
    "* **Why should I use LINFA?**\n",
    "<br>\n",
    "    Designed as a general inference engine, LINFA allows the user to define custom input transformations, computational models, surrogates, and likelihood functions which will be discussed throughout the tutorial."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e39ae9cb",
   "metadata": {},
   "source": [
    "### Tutorial outline\n",
    "\n",
    "In this tutorial we will:\n",
    "\n",
    "1. Analyze and implement a physics-based model for a ballistic application.\n",
    "\n",
    "2. Generate a set of synthetic observations.\n",
    "\n",
    "3. Compute the model gradients using PyTorch and verify their correctness through a finite difference approximation.\n",
    "\n",
    "4. Perform an inference tasks with LINFA:\n",
    "\n",
    "    * Case 1: Variational inference with the original model.\n",
    "\n",
    "    * Case 2: Variational inference with a lightweight neural network surrogate.\n",
    "\n",
    "After going through this tutorial, you will be able to integrate you favorite physics-based model with LINFA, to perform inference tasks.\n",
    "<br>\n",
    "\n",
    "In addition, we emphasize two special features available through LINFA:\n",
    "\n",
    "* Adaptively trained surrogate models (NoFAS module).\n",
    "\n",
    "* Adaptive annealing schedulers (AdaAnn module).\n",
    "\n",
    "We encourage the user to take advantage of such features, especially when using physics-based models with computationally expensive evaluations. "
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d58f9fc1",
   "metadata": {},
   "source": [
    "### Additional Resources\n",
    "\n",
    "#### Background theory and examples for LINFA\n",
    "\n",
    "* Y. Wang, E.R. Cobian, J. Lee, F. Liu, J.D. Hauenstein, D.E. Schiavazzi, [LINFA: a Python library for variational inference with normalizing flow and annealing](https://arxiv.org/abs/2307.04675)\n",
    "\n",
    "* Y. Wang, F. Liu and D.E. Schiavazzi, [Variational Inference with NoFAS: Normalizing Flow with Adaptive Surrogate for Computationally Expensive Models](https://www.sciencedirect.com/science/article/abs/pii/S0021999122005162)\n",
    "\n",
    "* E.R. Cobian, J.D. Hauenstein, F. Liu and D.E. Schiavazzi, [AdaAnn: Adaptive Annealing Scheduler for Probability Density Approximation](https://www.dl.begellhouse.com/journals/52034eb04b657aea,796f39cb1acf1296,6f85fe1149ff41d9.html?sgstd=1)\n",
    "\n",
    "#### More about LINFA library: \n",
    "\n",
    "* LINFA library [documentation](https://linfa-vi.readthedocs.io/en/latest/index.html)\n",
    "\n",
    "* LINFA GitHub [repository](https://github.com/desResLab/LINFA)"
   ]
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     "text": [
      "Requirement already satisfied: linfa-vi in /home/dschiava/.local/lib/python3.8/site-packages (1.1.10)\n",
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     ]
    }
   ],
   "source": [
    "! pip install linfa-vi"
   ]
  },
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   "execution_count": 2,
   "id": "b6771f78",
   "metadata": {},
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   "source": [
    "## Import libraries ##\n",
    "import os\n",
    "import linfa\n",
    "from linfa.run_experiment import experiment\n",
    "from linfa.transform import Transformation\n",
    "from linfa.nofas import Surrogate\n",
    "import torch\n",
    "import random\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "from matplotlib import pyplot as plt\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a2c156da",
   "metadata": {},
   "source": [
    "### Problem definition\n",
    "* Our physics-based model **phys** consists of a simple ballistic model. It computes the outputs: \n",
    "    * maximum height (m) $x_{1}$,\n",
    "    * final landing location (m) of the object $x_{2}$,\n",
    "    * total time of flight (s)  $x_{3}$,\n",
    "    \n",
    "    from the inputs:\n",
    "    * starting position (m) $z_{1}$,\n",
    "    * initial velocity (m/s)  $z_{2}$,\n",
    "    * angle (degrees) $z_{3}$.\n",
    "<br>\n",
    "\n",
    "The model is described by the following equations\n",
    "$$\n",
    "x_{1} = \\frac{z_{2}^{2}\\,\\sin^{2}(z_{3})}{2\\,g},\\,\\,\n",
    "x_{2} = z_{1} + \\frac{z_{2}^{2}\\,\\sin(2\\,z_{3})}{g},\\,\\,\n",
    "x_{3} = \\frac{2\\,z_{2}\\,\\sin(z_{3})}{g}.\n",
    "$$"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ae5d4156",
   "metadata": {},
   "source": [
    "#### Model identifiability\n",
    "\n",
    "By considering fixed values for the outputs $(x_{1},x_{2},x_{3}) = (\\widetilde{x}_{1},\\widetilde{x}_{2},\\widetilde{x}_{3})$, we can perform some algebraic manipulation to investigate structural identifiability. For example, if we derive $z_{2}$ from the equation for $x_{3}$ and we plug it back in the equation for $x_{1}$, we get the equation\n",
    "$$\n",
    "g\\,\\frac{\\widetilde{x}_{3}^{2}}{8} = \\widetilde{x}_{1}^{2}.\n",
    "$$\n",
    "\n",
    "The maximum height and time of flight are, as expected, related by a deterministic condition and therefore only one of these provide an independent information for the solution of the inverse problem. \n",
    "\n",
    "Due to this dependence, the number of observables is reduced to only two, from three inputs. This results in a non-identifiable inference task. In other words, there is an infinite number of input combinations $(z_{1},z_{2},z_{3})$ corresponding to the outputs $(\\widetilde{x}_{1},\\widetilde{x}_{2},\\widetilde{x}_{3})$. \n",
    "\n",
    "A graphical explanation for this lack of identifiability can be is shown in the the plot below\n",
    "\n",
    "<img src=\"imgs/trajectories.png\" width=\"800px\" aligned=\"center\"><br>\n",
    "**Figure:** Examples of trajectories resulting in the same landing distance and maximum height (or time of flight).\n",
    "\n",
    "This picture shows how the final target location at $x_{2}$ can be reached by multiple initial positions, velocities and angles. The lack of identifiability also translates in the existence of a one-dimensional manifold of inputs that correspond to the same outputs. This manifold can be determined from the following expressions in the form $z_1(z_{3})$ and $z_2(z_{3})$ \n",
    "$$\n",
    "z_{1} = \\widetilde{x}_{2} - \\frac{g\\cdot \\widetilde{x}_{3}^{2}}{2}\\cdot \\left[\\frac{\\cos(z_{3})}{\\sin(z_{3})}\\right],\\,\\,\n",
    "z_{2} = \\frac{g\\cdot \\widetilde{x}_{3}}{2\\,\\sin(z_{3})}.\n",
    "$$\n",
    "These two curves are plotted below.\n",
    "\n",
    "<img src=\"imgs/non_ident.png\" width=\"800px\" aligned=\"center\"><br>\n",
    "**Figure:** Two-dimensional projections of one-dimensional manifold where all parameters correspond to the same outputs. When performing inference we therefore expect the posterior distribution to be concentrated around such curves. "
   ]
  },
  {
   "cell_type": "markdown",
   "id": "27303dd6",
   "metadata": {},
   "source": [
    "#### Implementation as a Python class\n",
    "\n",
    "* We first create a new **Phys** model class, having three member functions:\n",
    "\n",
    "    * `__init__` - A constructor.\n",
    "\n",
    "    * `genDataFile` - A member function to create synthetic observations.\n",
    "\n",
    "    * `solve_t` - A function to perform forward model evaluations.\n",
    "\n",
    "*Please refer to the comments below for additional implementation details.* "
   ]
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  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "2e42fb65",
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   "source": [
    "#### Implementation of the traditional trajectory motion physics problem ####\n",
    "class Phys:\n",
    "    \n",
    "    ### Define constructor function for Phys class ###\n",
    "    def __init__(self):\n",
    "        ## Define input parameters (True value)  \n",
    "        # input[] = [starting_position, initial_velocity, angle] = [1(m), 5(m/s), 60(degs)]\n",
    "        self.defParam = torch.Tensor([[1.0, 5.0, 60.0]])\n",
    "\n",
    "        self.gConst = 9.81   # gravitational constant\n",
    "        self.stdRatio = 0.05 # standard deviation ratio\n",
    "        self.data = None     # data set of model sample\n",
    "\n",
    "    ### Define data file generator function ###\n",
    "    # dataSize (int): size of sample (data)\n",
    "    # dataFileName (String): name of the sample data file\n",
    "    # store (Boolean): True if user wish to store the generated data file; False otherwise.\n",
    "    def genDataFile(self, dataSize = 50, dataFileName=\"data_phys_3d.txt\", store=True):\n",
    "        def_out = self.solve_t(self.defParam)[0]\n",
    "        self.data = def_out + self.stdRatio * torch.abs(def_out) * torch.normal(0, 1, size=(dataSize, 3))\n",
    "        self.data = self.data.t().detach().numpy()\n",
    "        if store: np.savetxt(dataFileName, self.data)\n",
    "        return self.data\n",
    "\n",
    "    ### Define data file generator function ###\n",
    "    # params (Tensor): input parameters storing starting position, initial velocity, and angle in corresponding order.\n",
    "    def solve_t(self, params):\n",
    "        z1, z2, z3 = torch.chunk(params, chunks=3, dim=1) # input parameters\n",
    "        z3 = z3 * (np.pi / 180)                           # convert unit from degree to radians\n",
    "        \n",
    "        ## Output value calculation\n",
    "        # ouput[] = [maximum_height, final_location, total_time]\n",
    "        x = torch.cat(( (z2 * z2 * torch.sin(z3) * torch.sin(z3)) / (2.0 * self.gConst),  # x1: maxHeight\n",
    "            z1 + ((z2 * z2 * torch.sin(2.0 * z3)) / self.gConst),                         # x2: finalLocation \n",
    "            (2.0 * z2 * torch.sin(z3)) / self.gConst), 1)                                 # x3: totalTime\n",
    "        return x"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6d59fe81",
   "metadata": {},
   "source": [
    "### Generation of synthetic data\n",
    "\n",
    "The *genDataFile* member function is designed to generate multiple synthetic outputs by adding Gaussian noise around the output corresponding to a *default parameter set* \n",
    "$$\\boldsymbol{z}^{*} = (1.0, 5.0, 60.0)$$\n",
    "where the initial angle of the trajectory is measured in degrees. The following code generates 50 synthetic observations and stores them in the *data_phys.txt* file. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "332f04f1",
   "metadata": {},
   "outputs": [],
   "source": [
    "## Generate phys sample file ##\n",
    "# Define model\n",
    "model = Phys()\n",
    "# Generate Data\n",
    "physData = model.genDataFile()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ac59d866",
   "metadata": {},
   "source": [
    "Now that we have our model set up, we go on to our second step and check the computation of its gradient."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "171083e9",
   "metadata": {},
   "source": [
    "### Check for Gradient Calculation\n",
    "\n",
    "* Prior to applying NoFAS to our **Phys** model, we check if the model gradient (Jacobian actually since it has multiple outputs) is correctly computed by PyTorch. \n",
    "\n",
    "* Specifically, when the surrogate is not enabled, gradient calculation is completed straight through the model, so we want to ensure that this is correct before running an inference task.\n",
    "\n",
    "* Here we compute each gradient using (1) Pytorch and (2) a forward Euler finite difference approximation, and compare the results provided by these two approaches."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "827f1c49",
   "metadata": {},
   "source": [
    " #### Computing gradients through PyTorch\n",
    "\n",
    " We define a new class to compute gradients. The class is construced by specifying a model and a transformation and provides member functions to compute the derivatives."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "49f6aec6",
   "metadata": {},
   "outputs": [],
   "source": [
    "#### Implementation of gradient calculation using PyTorch - version 2 #### \n",
    "class PytorchGrad: \n",
    "    \n",
    "    ### Define constructor function for PytorchGrad2 class ###\n",
    "    def __init__(self, model, transform):\n",
    "        # Define input parameters and enable gradient calculation\n",
    "        self.z = torch.Tensor([[1.0, 5.0, 60.0]])\n",
    "        self.z.requires_grad = True\n",
    "        \n",
    "        self.in_vals = transform.forward(self.z)\n",
    "\n",
    "        self.out_val = model.solve_t(self.in_vals)\n",
    "        self.out1, self.out2, self.out3 = torch.chunk(self.out_val, chunks=3, dim=1)\n",
    "\n",
    "    # Compute gradients using backward function for y\n",
    "    def back_x1(self): \n",
    "        self.out1.backward()\n",
    "        d1 = self.z.grad\n",
    "        a, b, c = torch.chunk(d1, chunks=3, dim=1)\n",
    "        return [a.item(), b.item(), c.item()]\n",
    "    \n",
    "    def back_x2(self): \n",
    "        self.out2.backward()\n",
    "        d2 = self.z.grad\n",
    "        a, b, c = torch.chunk(d2, chunks=3, dim=1)\n",
    "        return [a.item(), b.item(), c.item()]\n",
    "    \n",
    "    def back_x3(self): \n",
    "        self.out3.backward()\n",
    "        d3 = self.z.grad\n",
    "        a, b, c = torch.chunk(d3, chunks=3, dim=1)\n",
    "        return [a.item(), b.item(), c.item()]\n",
    "        "
   ]
  },
  {
   "cell_type": "markdown",
   "id": "14a10d6e",
   "metadata": {},
   "source": [
    "We then use the class with the **Phys** model and an *identity* transformation as shown next."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "688b916b",
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   "outputs": [
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       "     dz1       dz2       dz3\n",
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   "source": [
    "# Define Phys model\n",
    "model = Phys()\n",
    "\n",
    "# Set transformation information and define transforamtion\n",
    "trsf_info = [['identity',0.0,0.0,0.0,0.0],\n",
    "             ['identity',0,0.0,0.0,0.0],\n",
    "             ['identity',0,0.0,0.0,0.0]]\n",
    "        \n",
    "transform = Transformation(trsf_info)\n",
    "\n",
    "# List to store dx/dz values\n",
    "dx_dz_pytorch = []\n",
    "\n",
    "# Define PytorchGrad object and calculate gradient\n",
    "pyGrad = PytorchGrad(model, transform)\n",
    "dx_dz_pytorch.append(pyGrad.back_x1())\n",
    "\n",
    "pyGrad = PytorchGrad(model, transform)\n",
    "dx_dz_pytorch.append(pyGrad.back_x2())\n",
    "\n",
    "pyGrad = PytorchGrad(model, transform)\n",
    "dx_dz_pytorch.append(pyGrad.back_x3())\n",
    "\n",
    "# convert to pandas DataFrame for readability\n",
    "jacob_mat_2 = pd.DataFrame(dx_dz_pytorch, columns=['dz1', 'dz2', 'dz3'])\n",
    "jacob_mat_2.index = ['dx1', 'dx2', 'dx3']\n",
    "jacob_mat_2"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c656fa19",
   "metadata": {},
   "source": [
    "#### Approximating gradients with finite differences\n",
    "\n",
    "We now apply the forward Euler approximation of the gradient to verify the results above. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "e8163b92",
   "metadata": {},
   "outputs": [],
   "source": [
    "### Function that manually calculates a derivative ###\n",
    "def getGrad(f_eps, f, eps):\n",
    "    return (f_eps - f) / (eps)\n",
    "\n",
    "### Function that returns a list of gradients ###\n",
    "def gradList(f_eps1, f_eps2, f_eps3, f, eps): \n",
    "    return [getGrad(f_eps1, f, eps).item(), getGrad(f_eps2, f, eps).item(), getGrad(f_eps3, f, eps).item()]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "a49c2124",
   "metadata": {},
   "outputs": [
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       "      <th>dz2</th>\n",
       "      <th>dz3</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>dx1</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.420489</td>\n",
       "      <td>0.019062</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>dx2</th>\n",
       "      <td>1.0</td>\n",
       "      <td>0.971078</td>\n",
       "      <td>-0.045814</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>dx3</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.176560</td>\n",
       "      <td>0.008761</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     dz1       dz2       dz3\n",
       "dx1  0.0  0.420489  0.019062\n",
       "dx2  1.0  0.971078 -0.045814\n",
       "dx3  0.0  0.176560  0.008761"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# List to store dx/dz values\n",
    "dx_dz = []\n",
    "dx1_dz = []\n",
    "dx2_dz = []\n",
    "dx3_dz = []\n",
    "\n",
    "# Set up parameters\n",
    "eps = 1.0\n",
    "z = torch.Tensor([[1.0, 5.0, 60.0]])\n",
    "z_eps1 = torch.Tensor([[1.0 + eps, 5.0, 60.0]])\n",
    "z_eps2 = torch.Tensor([[1.0, 5.0 + eps, 60.0]])\n",
    "z_eps3 = torch.Tensor([[1.0, 5.0, 60.0 + eps]])\n",
    "\n",
    "x1_eps1 = model.solve_t(z_eps1)[0,0]\n",
    "x1_eps2 = model.solve_t(z_eps2)[0,0]\n",
    "x1_eps3 = model.solve_t(z_eps3)[0,0]\n",
    "x1_eps = model.solve_t(z)[0,0]\n",
    "\n",
    "dx1_dz = gradList(x1_eps1, x1_eps2, x1_eps3, x1_eps, eps)\n",
    "dx_dz.append(dx1_dz)\n",
    "\n",
    "x2_eps1 = model.solve_t(z_eps1)[0,1]\n",
    "x2_eps2 = model.solve_t(z_eps2)[0,1]\n",
    "x2_eps3 = model.solve_t(z_eps3)[0,1]\n",
    "x2_eps = model.solve_t(z)[0,1]\n",
    "\n",
    "dx2_dz = gradList(x2_eps1, x2_eps2, x2_eps3, x2_eps, eps)\n",
    "dx_dz.append(dx2_dz)\n",
    "\n",
    "x3_eps1 = model.solve_t(z_eps1)[0,2]\n",
    "x3_eps2 = model.solve_t(z_eps2)[0,2]\n",
    "x3_eps3 = model.solve_t(z_eps3)[0,2]\n",
    "x3_eps = model.solve_t(z)[0,2]\n",
    "\n",
    "dx3_dz = gradList(x3_eps1, x3_eps2, x3_eps3, x3_eps, eps)\n",
    "dx_dz.append(dx3_dz)\n",
    "\n",
    "# convert to pandas DataFrame for readability\n",
    "jacob_mat_3 = pd.DataFrame(dx_dz, columns=['dz1', 'dz2', 'dz3'])\n",
    "jacob_mat_3.index = ['dx1', 'dx2', 'dx3']\n",
    "jacob_mat_3"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "72db5e9b",
   "metadata": {},
   "source": [
    "#### Check the convergence of the finite difference approximation to the gradient\n",
    "\n",
    "- *Note*: if you'd like you can adjust the script below to check convergence for other components."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "60020306",
   "metadata": {},
   "outputs": [],
   "source": [
    "## Focus: dx2_dz3\n",
    "\n",
    "initial_eps = 15        # Initial change of value (eps)\n",
    "k = 150                 # Number of iterations\n",
    "dx2_dz3_list = []       # List to store results\n",
    "pytorch_grad2 = -0.0445 # Pytorch gradient value\n",
    "\n",
    "# Calculate for dx2_dz3 as eps decreases\n",
    "for t in range(1, k):\n",
    "    update_eps = initial_eps*(1/t)                             # updated eps value\n",
    "    z_eps3 = torch.Tensor([[1.0, 5.0, 60.0 + update_eps]])     # update z_eps3\n",
    "    x2_eps3 = model.solve_t(z_eps3)[0,1]                       # update x2_eps3\n",
    "    dx2_dz3_list.append(getGrad(x2_eps3, x2_eps, update_eps))  # store result to dx2_dz3_list"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "ecbda003",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "dark"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "## Plot result to see convergence\n",
    "plt.style.use('dark_background')\n",
    "\n",
    "fig, ax = plt.subplots()\n",
    "ax.plot(range(1,k), dx2_dz3_list, c = \"red\", linestyle = \"solid\", label = \"FD Approximation\")\n",
    "\n",
    "plt.axhline(y = pytorch_grad2, color = 'blue', linestyle = '-', label = \"Pytorch Gradient\")\n",
    "plt.legend(loc=\"lower right\")\n",
    "plt.title(\"Gradient Plot for dx2_dz3\")\n",
    "plt.ylabel(\"Gradient\")\n",
    "plt.xlabel(\"k-Iterations\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "eb461138",
   "metadata": {},
   "source": [
    "Now that we confirmed that our model successfully computes the gradients, we go on to our third step: *Model Evaluation Set Up and Applications*"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "86e4a0a7",
   "metadata": {},
   "source": [
    "### Variational inference with full model\n",
    "\n",
    "#### Definition of hyperparameters\n",
    "The first step is to define all options and hyperparameters for the inference task. Additional detail for each hyperparameter can be found in the [documentation](https://linfa-vi.readthedocs.io/en/latest/content/linfa_options.html) or in the definition of the [experiment](https://github.com/desResLab/LINFA/blob/master/linfa/run_experiment.py) class."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "c23316e3",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Experiment Setting\n",
    "exp = experiment()\n",
    "exp.flow_type        = 'maf'        # str: Type of flow\n",
    "exp.n_blocks         = 5            # int: Number of layers                            \n",
    "exp.hidden_size      = 100          # int: Hidden layer size for MADE in each layer  \n",
    "exp.n_hidden         = 1            # int: Number of hidden layers in each MADE      \n",
    "exp.activation_fn    = 'relu'       # str: Actication function used                  \n",
    "exp.input_order      = 'sequential' # str: Input order for create_mask           \n",
    "exp.batch_norm_order = True         # boolean: Order to decide if batch_norm is used    \n",
    "exp.save_interval    = 5000         # int: How often to sample from normalizing flow\n",
    "\n",
    "exp.input_size    = 3               # int: Dimensionality of input                   \n",
    "exp.batch_size    = 250             # int: Number of samples generated             \n",
    "exp.true_data_num = 2               # double: number of true model evaluated      \n",
    "exp.n_iter        = 25001           # int: Number of iterations                      \n",
    "exp.lr            = 0.01            # float: Learning rate                              \n",
    "exp.lr_decay      = 0.9999          # float: Learning rate decay                \n",
    "exp.log_interval  = 100             # int: How often to show loss stat   \n",
    "\n",
    "exp.run_nofas          = False      # boolean: to run experiment with nofas\n",
    "exp.annealing          = False      # boolean: to run experiment with annealing\n",
    "exp.calibrate_interval = 1000       # int: How often to update surrogate model     \n",
    "exp.budget             = 260        # int: Total number of true model evaluation\n",
    "\n",
    "exp.surr_pre_it  = 20000            # int: Number of pre-training iterations for surrogate model\n",
    "exp.surr_upd_it  = 6000             # int: Number of iterations for the surrogate model update\n",
    "exp.surr_folder  = \"./\"\n",
    "exp.use_new_surr = True             # boolean: to run experiment with nofas\n",
    "\n",
    "exp.results_file = 'results.txt'      # str: result text file name\n",
    "exp.log_file     = 'log.txt'          # str: log text file name\n",
    "exp.samples_file = 'samples.txt'      # str: sample text file name\n",
    "exp.seed         = random.randint(0, 10 ** 9)  # int: Random seed used\n",
    "exp.n_sample     = 5000               # int: Total number of iterations\n",
    "exp.no_cuda      = True               # boolean: to run experiment with NO cuda\n",
    "\n",
    "exp.optimizer    = 'RMSprop'          # str: Type of optimizer\n",
    "exp.lr_scheduler = 'ExponentialLR'    # str: Type of scheduler\n",
    "\n",
    "exp.device = torch.device('cuda:0' if torch.cuda.is_available() and not exp.no_cuda else 'cpu')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a14f5806",
   "metadata": {},
   "source": [
    "#### Define the transformation \n",
    "Now we define the trasformation of parameters and initialize the "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "033a3702",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Define transformation based on normalization rate\n",
    "trsf_info = [['identity',0.0,0.0,0.0,0.0],\n",
    "             ['identity',0.0,0.0,0.0,0.0],\n",
    "             ['linear',-3,3,40.0,140.0]]\n",
    "trsf = Transformation(trsf_info)        \n",
    "exp.transform = trsf"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "9fa71420",
   "metadata": {},
   "source": [
    "#### Model and surrogate definition\n",
    "We create an instance of the **Phys** model and assign `None` to the surrogate. Note that we have also specified `exp.run_nofas = False` and `exp.annealing = False` to switch off both the adaptive surrogate capability and annealing. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "c0cb0a9d",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Define model\n",
    "model = Phys()\n",
    "exp.model = model\n",
    "\n",
    "# Get data\n",
    "model.data = np.loadtxt('./data_phys_3d.txt')\n",
    "\n",
    "# Run experiment without surrogate\n",
    "exp.surrogate = None"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "479ca2f4",
   "metadata": {},
   "source": [
    "#### Log-likelihood definiton\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "b2346179",
   "metadata": {},
   "outputs": [],
   "source": [
    "## Define log density\n",
    "# x: original, untransformed inputs\n",
    "# model: our model\n",
    "# transform: our transformation \n",
    "def log_density(x, model, surrogate, transform):\n",
    "\n",
    "    # Compute transformation log Jacobian\n",
    "    adjust = transform.compute_log_jacob_func(x)\n",
    "\n",
    "    # Get the absolute values of the standard deviations\n",
    "    stds = torch.abs(model.solve_t(model.defParam)) * model.stdRatio\n",
    "    Data = torch.tensor(model.data).to(exp.device)\n",
    "    \n",
    "    # Check for surrogate\n",
    "    if surrogate:\n",
    "        modelOut = exp.surrogate.forward(x)\n",
    "    else:\n",
    "        modelOut = model.solve_t(transform.forward(x))\n",
    "\n",
    "    # Eval LL\n",
    "    ll1 = -0.5 * np.prod(model.data.shape) * np.log(2.0 * np.pi)\n",
    "    ll2 = (-0.5 * model.data.shape[1] * torch.log(torch.prod(stds))).item()\n",
    "    ll3 = 0.0\n",
    "    for i in range(3):\n",
    "        ll3 += - 0.5 * torch.sum(((modelOut[:, i].unsqueeze(1) - Data[i, :].unsqueeze(0)) / stds[0, i]) ** 2, dim=1)\n",
    "    negLL = -(ll1 + ll2 + ll3)\n",
    "    res = -negLL.reshape(x.size(0), 1) + adjust\n",
    "    \n",
    "    return res"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e3a3b552",
   "metadata": {},
   "source": [
    "#### Launch inference task"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "e47ff6b6",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "--- TUTORIAL: Ballistic Example - Full model\n",
      "\n",
      "--- Running on device: cpu\n",
      "\n",
      "VI NF (t=1.000): it:     100 | loss: 9.888e+03\n",
      "VI NF (t=1.000): it:     200 | loss: 4.040e+03\n",
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      "--- Saving results at iteration 5000\n",
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      "--- Saving results at iteration 10000\n",
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      "--- Saving results at iteration 15000\n",
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      "--- Saving results at iteration 20000\n",
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      "--- Saving results at iteration 25000\n",
      "VI NF (t=1.000): it:   25000 | loss: 1.427e+01\n",
      "\n",
      "--- Simulation completed!\n"
     ]
    }
   ],
   "source": [
    "## Run \n",
    "print('')\n",
    "print('--- TUTORIAL: Ballistic Example - Full model')\n",
    "\n",
    "# Experiment Setting\n",
    "exp.name = \"phys_full_3d\"             # str: Name of experiment\n",
    "exp.output_dir   = './' + exp.name    # str: output directory location\n",
    "\n",
    "# Assign logdensity\n",
    "exp.model_logdensity = lambda x: log_density(x, model, exp.surrogate, trsf)\n",
    "\n",
    "# Run VI\n",
    "exp.run()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "84733df1",
   "metadata": {},
   "source": [
    "Notice that the model evaluation has been successfully completed by checking at the newly created **phys_nofasFree** folder in the tutorial directory.\n",
    "\n",
    "Note also that LINFA supports a post processing script to plot the mnain results including the loss profile, two-dimensional slices of the posterior distribution and two-dimensional slices for the predictive posterior.\n",
    "\n",
    "We can use the command below to generate the result plots"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "5cdc9094",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Plotting log...\n",
      "Plotting posterior samples...\n",
      "Plotting posterior predictive samples...\n"
     ]
    }
   ],
   "source": [
    "import linfa\n",
    "! python3 -m linfa.plot_res -n phys_full_3d -i 25000 -f \"./\" -p 'png' -d"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "da25ac7c",
   "metadata": {},
   "source": [
    "You can now visualize the results"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "7ca78001",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "metadata": {
      "image/png": {
       "width": 300
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "from IPython.display import Image, display\n",
    "display(Image(filename='./phys_full_3d/log_plot.png',width=300))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "d9040875",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "metadata": {
      "image/png": {
       "width": 300
      }
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "metadata": {
      "image/png": {
       "width": 300
      }
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "metadata": {
      "image/png": {
       "width": 300
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "from IPython.display import Image, display\n",
    "display(Image(filename='phys_full_3d/data_plot_phys_full_3d_25000_0_1.png',width=300))\n",
    "display(Image(filename='phys_full_3d/data_plot_phys_full_3d_25000_0_2.png',width=300))\n",
    "display(Image(filename='phys_full_3d/data_plot_phys_full_3d_25000_1_2.png',width=300))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "d58fd231",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "metadata": {
      "image/png": {
       "width": 300
      }
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "metadata": {
      "image/png": {
       "width": 300
      }
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "metadata": {
      "image/png": {
       "width": 300
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "from IPython.display import Image, display\n",
    "display(Image(filename='phys_full_3d/params_plot_phys_full_3d_25000_0_1.png',width=300))\n",
    "display(Image(filename='phys_full_3d/params_plot_phys_full_3d_25000_0_2.png',width=300))\n",
    "display(Image(filename='phys_full_3d/params_plot_phys_full_3d_25000_1_2.png',width=300))"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e8a8fa10",
   "metadata": {},
   "source": [
    "The results look as expected, concentrated around the *fibers* identified above.\n",
    "\n",
    "However, even with our simple model, the cost of evaluating the physics-based model and to compute the gradient through it can be significant and might lead to intractable inference tasks.\n",
    "\n",
    "In such cases, LINFA enables the construction of the adaptively trained surrogate model. By utilizing the surrogate model, gradient computation is executed through the surrogate, reducing the computational burden of such operation.\n",
    "\n",
    "In addition, LINFA provides an adaptive annealing scheduler (AdaAnn) which allows easier sampling from complicated densities.\n",
    "\n",
    "Accordingly, we will specifically observe how the adaptively trained surrogate model reduces the computational cost in our last step: <br>\n",
    "*Applying our model including the Surrogate model.*"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "9ff75885",
   "metadata": {},
   "source": [
    "### AdaAnn: An adaptive annealing scheduler\n",
    "\n",
    "We start by additing some options to activate the adaptive annealing scheduler and specify the associated hyperparameters."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 73,
   "id": "525310e6",
   "metadata": {},
   "outputs": [],
   "source": [
    "exp.annealing = True\n",
    "exp.scheduler = 'AdaAnn' # str: type of annealing scheduler used\n",
    "exp.tol       = 0.01     # float: tolerance for AdaAnn scheduler\n",
    "exp.t0        = 0.001    # float: initial inverse temperature value\n",
    "exp.N         = 250      # int: number of sample points during annealing\n",
    "exp.N_1       = 250      # int: number of sample points at t=1\n",
    "exp.T_0       = 500      # int: number of parameter updates at initial t0\n",
    "exp.T         = 10       # int: number of parameter updates during annealing\n",
    "exp.T_1       = 25000    # int: number of parameter updates at t=1\n",
    "exp.M         = 1000     # int: number of sample points used to update temperature"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "82e4a14d",
   "metadata": {},
   "source": [
    "### NoFAS: Normalizing flow with an adaptively trained surrogate\n",
    "\n",
    "Before specifying a surrogate model, we define the associated hyperparameters. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 74,
   "id": "56caefcf",
   "metadata": {},
   "outputs": [],
   "source": [
    "exp.run_nofas          = True       # boolean: to run experiment with nofas\n",
    "exp.calibrate_interval = 2000       # int: How often to update surrogate model     \n",
    "exp.budget             = 2000       # int: Total number of true model evaluation\n",
    "exp.surr_pre_it        = 40000      # int: Number of pre-training iterations for surrogate model\n",
    "exp.surr_upd_it        = 6000       # int: Number of iterations for the surrogate model update\n",
    "exp.use_new_surr       = True       # boolean: to run experiment with nofas\n",
    "exp.surr_folder        = \"./\"\n",
    "exp.true_data_num      = 15"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b3d325fc",
   "metadata": {},
   "source": [
    "In addition we need to define the new surrogate and assign the surrogate so the current instance of th *Experiment* class knows about it. \n",
    "Note the following hyperparameter choices:\n",
    "\n",
    "* The `memory_len` parameter is set to 100 to use the adaptively collected samples for a larger number of iterations. \n",
    "\n",
    "* A parametric architecture can be specified for the default dense neural network surrogate. The parameter `dnn_arch=[100,100]` is used to generate a dense neural network with two hidden layers having 100 and 100 neurons, respectively. The parameter `dnn_activation='silu'` is used to specify a `silu` activation function for all layers except the last."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 75,
   "id": "e349af49",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Success: Pre-Grid found.\n",
      "Warning: Surrogate model files: ./phys_surr_3d.npz and ./phys_surr_3d.npz could not be found. \n",
      "\n",
      "--- Pre-training surrogate model\n",
      "\n",
      "SUR: PRE: it:       0 | loss: 3.003e+00\n",
      "SUR: PRE: it:     500 | loss: 2.340e-01\n",
      "SUR: PRE: it:    1000 | loss: 1.291e-01\n",
      "SUR: PRE: it:    1500 | loss: 1.237e-01\n",
      "SUR: PRE: it:    2000 | loss: 6.689e-02\n",
      "SUR: PRE: it:    2500 | loss: 2.845e-02\n",
      "SUR: PRE: it:    3000 | loss: 6.229e-02\n",
      "SUR: PRE: it:    3500 | loss: 3.632e-02\n",
      "SUR: PRE: it:    4000 | loss: 2.400e-02\n",
      "SUR: PRE: it:    4500 | loss: 6.203e-03\n",
      "SUR: PRE: it:    5000 | loss: 5.400e-03\n",
      "SUR: PRE: it:    5500 | loss: 3.647e-02\n",
      "SUR: PRE: it:    6000 | loss: 4.926e-03\n",
      "SUR: PRE: it:    6500 | loss: 1.528e-02\n",
      "SUR: PRE: it:    7000 | loss: 1.344e-02\n",
      "SUR: PRE: it:    7500 | loss: 3.059e-02\n",
      "SUR: PRE: it:    8000 | loss: 1.215e-02\n",
      "SUR: PRE: it:    8500 | loss: 2.109e-02\n",
      "SUR: PRE: it:    9000 | loss: 2.994e-03\n",
      "SUR: PRE: it:    9500 | loss: 8.915e-03\n",
      "SUR: PRE: it:   10000 | loss: 4.484e-03\n",
      "SUR: PRE: it:   10500 | loss: 1.377e-02\n",
      "SUR: PRE: it:   11000 | loss: 6.786e-03\n",
      "SUR: PRE: it:   11500 | loss: 4.807e-03\n",
      "SUR: PRE: it:   12000 | loss: 6.118e-03\n",
      "SUR: PRE: it:   12500 | loss: 1.832e-03\n",
      "SUR: PRE: it:   13000 | loss: 6.654e-03\n",
      "SUR: PRE: it:   13500 | loss: 7.077e-03\n",
      "SUR: PRE: it:   14000 | loss: 2.848e-03\n",
      "SUR: PRE: it:   14500 | loss: 2.907e-03\n",
      "SUR: PRE: it:   15000 | loss: 1.074e-03\n",
      "SUR: PRE: it:   15500 | loss: 3.613e-03\n",
      "SUR: PRE: it:   16000 | loss: 3.777e-03\n",
      "SUR: PRE: it:   16500 | loss: 2.822e-03\n",
      "SUR: PRE: it:   17000 | loss: 4.747e-03\n",
      "SUR: PRE: it:   17500 | loss: 1.166e-03\n",
      "SUR: PRE: it:   18000 | loss: 1.258e-03\n",
      "SUR: PRE: it:   18500 | loss: 1.388e-03\n",
      "SUR: PRE: it:   19000 | loss: 1.203e-03\n",
      "SUR: PRE: it:   19500 | loss: 1.731e-03\n",
      "SUR: PRE: it:   20000 | loss: 6.677e-04\n",
      "SUR: PRE: it:   20500 | loss: 1.497e-03\n",
      "SUR: PRE: it:   21000 | loss: 1.465e-03\n",
      "SUR: PRE: it:   21500 | loss: 1.827e-03\n",
      "SUR: PRE: it:   22000 | loss: 6.093e-04\n",
      "SUR: PRE: it:   22500 | loss: 7.512e-04\n",
      "SUR: PRE: it:   23000 | loss: 1.724e-03\n",
      "SUR: PRE: it:   23500 | loss: 7.349e-04\n",
      "SUR: PRE: it:   24000 | loss: 7.053e-04\n",
      "SUR: PRE: it:   24500 | loss: 9.477e-04\n",
      "SUR: PRE: it:   25000 | loss: 1.028e-03\n",
      "SUR: PRE: it:   25500 | loss: 1.077e-03\n",
      "SUR: PRE: it:   26000 | loss: 5.348e-04\n",
      "SUR: PRE: it:   26500 | loss: 6.456e-04\n",
      "SUR: PRE: it:   27000 | loss: 4.906e-04\n",
      "SUR: PRE: it:   27500 | loss: 5.697e-04\n",
      "SUR: PRE: it:   28000 | loss: 9.931e-04\n",
      "SUR: PRE: it:   28500 | loss: 6.074e-04\n",
      "SUR: PRE: it:   29000 | loss: 6.776e-04\n",
      "SUR: PRE: it:   29500 | loss: 4.846e-04\n",
      "SUR: PRE: it:   30000 | loss: 5.515e-04\n",
      "SUR: PRE: it:   30500 | loss: 5.223e-04\n",
      "SUR: PRE: it:   31000 | loss: 4.591e-04\n",
      "SUR: PRE: it:   31500 | loss: 6.977e-04\n",
      "SUR: PRE: it:   32000 | loss: 5.778e-04\n",
      "SUR: PRE: it:   32500 | loss: 6.757e-04\n",
      "SUR: PRE: it:   33000 | loss: 4.428e-04\n",
      "SUR: PRE: it:   33500 | loss: 4.748e-04\n",
      "SUR: PRE: it:   34000 | loss: 5.916e-04\n",
      "SUR: PRE: it:   34500 | loss: 4.548e-04\n",
      "SUR: PRE: it:   35000 | loss: 4.060e-04\n",
      "SUR: PRE: it:   35500 | loss: 4.320e-04\n",
      "SUR: PRE: it:   36000 | loss: 4.388e-04\n",
      "SUR: PRE: it:   36500 | loss: 4.324e-04\n",
      "SUR: PRE: it:   37000 | loss: 4.112e-04\n",
      "SUR: PRE: it:   37500 | loss: 3.938e-04\n",
      "SUR: PRE: it:   38000 | loss: 3.992e-04\n",
      "SUR: PRE: it:   38500 | loss: 4.018e-04\n",
      "SUR: PRE: it:   39000 | loss: 3.898e-04\n",
      "SUR: PRE: it:   39500 | loss: 3.881e-04\n",
      "\n",
      "--- Surrogate model pre-train complete\n",
      "\n",
      "Success: [limits] loaded.\n",
      "Success: [pre_grid] loaded.\n",
      "Success: [grid_record] loaded.\n"
     ]
    }
   ],
   "source": [
    "exp.name = \"phys_surr_3d\"\n",
    "exp.output_dir   = './' + exp.name\n",
    "\n",
    "exp.surrogate = Surrogate(exp.name, lambda x: model.solve_t(trsf.forward(x)), exp.input_size, 3, \n",
    "                            model_folder=exp.surr_folder, limits=torch.Tensor([[0, 6], [4, 5], [-3, 3]]), \n",
    "                            memory_len=100, dnn_arch=[100,100], dnn_activation='silu', device=exp.device)\n",
    "surr_filename = exp.surr_folder + exp.name\n",
    "if exp.use_new_surr or (not os.path.isfile(surr_filename + \".sur\")) or (not os.path.isfile(surr_filename + \".npz\")):\n",
    "    print(\"Warning: Surrogate model files: {0}.npz and {0}.npz could not be found. \".format(surr_filename))\n",
    "    exp.surrogate.gen_grid(gridnum=6)\n",
    "    exp.surrogate.pre_train(exp.surr_pre_it, 0.03, 0.9999, 500, store=True)\n",
    "# Load the surrogate\n",
    "exp.surrogate.surrogate_load()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 76,
   "id": "8b00141b",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "--- TUTORIAL: Ballistic Example - with NN surrogate and annealing\n",
      "\n",
      "--- Running on device: cpu\n",
      "\n",
      "VI NF (t=0.001): it:     100 | loss: 6.280e+00\n",
      "VI NF (t=0.001): it:     200 | loss: 7.855e+00\n",
      "VI NF (t=0.001): it:     300 | loss: 2.544e+00\n",
      "VI NF (t=0.001): it:     400 | loss: 2.022e+00\n",
      "VI NF (t=0.001): it:     500 | loss: 2.399e+00\n",
      "VI NF (t=0.001): it:     600 | loss: 1.822e+00\n",
      "VI NF (t=0.001): it:     700 | loss: 2.274e+00\n",
      "VI NF (t=0.001): it:     800 | loss: 1.991e+00\n",
      "VI NF (t=0.001): it:     900 | loss: 2.080e+00\n",
      "VI NF (t=0.001): it:    1000 | loss: 2.283e+00\n",
      "VI NF (t=0.001): it:    1100 | loss: 2.372e+00\n",
      "VI NF (t=0.002): it:    1200 | loss: 2.342e+00\n",
      "VI NF (t=0.002): it:    1300 | loss: 1.970e+00\n",
      "VI NF (t=0.002): it:    1400 | loss: 2.086e+00\n",
      "VI NF (t=0.002): it:    1500 | loss: 2.699e+00\n",
      "VI NF (t=0.002): it:    1600 | loss: 2.418e+00\n",
      "VI NF (t=0.002): it:    1700 | loss: 2.189e+00\n",
      "VI NF (t=0.002): it:    1800 | loss: 2.209e+00\n",
      "VI NF (t=0.002): it:    1900 | loss: 2.476e+00\n",
      "\n",
      "--- Updating surrogate model\n",
      "\n",
      "Std before inflation -> Std after inflation\n",
      "1.382e+00 -> 1.382e+00\n",
      "1.234e+00 -> 1.234e+00\n",
      "1.221e+00 -> 1.221e+00\n",
      "\n",
      "SUR: UPD: it:       0 | loss: 8.511e+00\n",
      "SUR: UPD: it:     500 | loss: 4.022e-02\n",
      "SUR: UPD: it:    1000 | loss: 8.212e-03\n",
      "SUR: UPD: it:    1500 | loss: 6.960e-03\n",
      "SUR: UPD: it:    2000 | loss: 1.507e-03\n",
      "SUR: UPD: it:    2500 | loss: 1.597e-03\n",
      "SUR: UPD: it:    3000 | loss: 9.604e-04\n",
      "SUR: UPD: it:    3500 | loss: 8.631e-04\n",
      "SUR: UPD: it:    4000 | loss: 8.193e-04\n",
      "SUR: UPD: it:    4500 | loss: 7.685e-04\n",
      "SUR: UPD: it:    5000 | loss: 7.177e-04\n",
      "SUR: UPD: it:    5500 | loss: 6.888e-04\n",
      "\n",
      "--- Surrogate model updated\n",
      "\n",
      "VI NF (t=0.002): it:    2000 | loss: 2.739e+01\n",
      "VI NF (t=0.002): it:    2100 | loss: 4.456e+00\n",
      "VI NF (t=0.002): it:    2200 | loss: 3.160e+00\n",
      "VI NF (t=0.003): it:    2300 | loss: 3.300e+00\n",
      "VI NF (t=0.003): it:    2400 | loss: 3.334e+00\n",
      "VI NF (t=0.003): it:    2500 | loss: 3.465e+00\n",
      "VI NF (t=0.003): it:    2600 | loss: 3.199e+00\n",
      "VI NF (t=0.003): it:    2700 | loss: 3.433e+00\n",
      "VI NF (t=0.004): it:    2800 | loss: 3.548e+00\n",
      "VI NF (t=0.004): it:    2900 | loss: 3.411e+00\n",
      "VI NF (t=0.004): it:    3000 | loss: 3.381e+00\n",
      "VI NF (t=0.005): it:    3100 | loss: 3.594e+00\n",
      "VI NF (t=0.005): it:    3200 | loss: 3.623e+00\n",
      "VI NF (t=0.005): it:    3300 | loss: 3.679e+00\n",
      "VI NF (t=0.006): it:    3400 | loss: 3.812e+00\n",
      "VI NF (t=0.006): it:    3500 | loss: 3.962e+00\n",
      "VI NF (t=0.007): it:    3600 | loss: 4.088e+00\n",
      "VI NF (t=0.007): it:    3700 | loss: 4.389e+00\n",
      "VI NF (t=0.008): it:    3800 | loss: 4.197e+00\n",
      "VI NF (t=0.008): it:    3900 | loss: 4.100e+00\n",
      "\n",
      "--- Updating surrogate model\n",
      "\n",
      "Std before inflation -> Std after inflation\n",
      "2.019e+00 -> 2.019e+00\n",
      "4.892e-01 -> 4.892e-01\n",
      "1.294e+00 -> 1.294e+00\n",
      "\n",
      "SUR: UPD: it:       0 | loss: 2.554e-01\n",
      "SUR: UPD: it:     500 | loss: 5.976e-02\n",
      "SUR: UPD: it:    1000 | loss: 9.066e-03\n",
      "SUR: UPD: it:    1500 | loss: 5.433e-03\n",
      "SUR: UPD: it:    2000 | loss: 3.665e-03\n",
      "SUR: UPD: it:    2500 | loss: 3.088e-03\n",
      "SUR: UPD: it:    3000 | loss: 2.456e-03\n",
      "SUR: UPD: it:    3500 | loss: 1.683e-03\n",
      "SUR: UPD: it:    4000 | loss: 1.429e-03\n",
      "SUR: UPD: it:    4500 | loss: 1.279e-03\n",
      "SUR: UPD: it:    5000 | loss: 1.188e-03\n",
      "SUR: UPD: it:    5500 | loss: 1.141e-03\n",
      "\n",
      "--- Surrogate model updated\n",
      "\n",
      "VI NF (t=0.008): it:    4000 | loss: 8.947e+00\n",
      "VI NF (t=0.009): it:    4100 | loss: 4.386e+00\n",
      "VI NF (t=0.010): it:    4200 | loss: 4.437e+00\n",
      "VI NF (t=0.010): it:    4300 | loss: 4.502e+00\n",
      "VI NF (t=0.011): it:    4400 | loss: 4.569e+00\n",
      "VI NF (t=0.012): it:    4500 | loss: 4.578e+00\n",
      "VI NF (t=0.013): it:    4600 | loss: 4.666e+00\n",
      "VI NF (t=0.015): it:    4700 | loss: 4.643e+00\n",
      "VI NF (t=0.016): it:    4800 | loss: 4.929e+00\n",
      "VI NF (t=0.017): it:    4900 | loss: 5.354e+00\n",
      "--- Saving results at iteration 5000\n",
      "VI NF (t=0.019): it:    5000 | loss: 5.007e+00\n",
      "VI NF (t=0.020): it:    5100 | loss: 5.176e+00\n",
      "VI NF (t=0.022): it:    5200 | loss: 5.177e+00\n",
      "VI NF (t=0.023): it:    5300 | loss: 5.391e+00\n",
      "VI NF (t=0.025): it:    5400 | loss: 5.523e+00\n",
      "VI NF (t=0.028): it:    5500 | loss: 5.659e+00\n",
      "VI NF (t=0.030): it:    5600 | loss: 5.629e+00\n",
      "VI NF (t=0.032): it:    5700 | loss: 5.759e+00\n",
      "VI NF (t=0.035): it:    5800 | loss: 5.938e+00\n",
      "VI NF (t=0.038): it:    5900 | loss: 6.737e+00\n",
      "\n",
      "--- Updating surrogate model\n",
      "\n",
      "Std before inflation -> Std after inflation\n",
      "1.042e+00 -> 1.042e+00\n",
      "2.302e-01 -> 2.302e-01\n",
      "8.577e-01 -> 8.577e-01\n",
      "\n",
      "SUR: UPD: it:       0 | loss: 4.513e-02\n",
      "SUR: UPD: it:     500 | loss: 2.741e-02\n",
      "SUR: UPD: it:    1000 | loss: 2.510e-02\n",
      "SUR: UPD: it:    1500 | loss: 9.926e-03\n",
      "SUR: UPD: it:    2000 | loss: 8.245e-03\n",
      "SUR: UPD: it:    2500 | loss: 5.986e-03\n",
      "SUR: UPD: it:    3000 | loss: 5.046e-03\n",
      "SUR: UPD: it:    3500 | loss: 4.360e-03\n",
      "SUR: UPD: it:    4000 | loss: 4.052e-03\n",
      "SUR: UPD: it:    4500 | loss: 3.875e-03\n",
      "SUR: UPD: it:    5000 | loss: 3.784e-03\n",
      "SUR: UPD: it:    5500 | loss: 3.425e-03\n",
      "\n",
      "--- Surrogate model updated\n",
      "\n",
      "VI NF (t=0.041): it:    6000 | loss: 6.748e+00\n",
      "VI NF (t=0.044): it:    6100 | loss: 7.170e+00\n",
      "VI NF (t=0.047): it:    6200 | loss: 6.787e+00\n",
      "VI NF (t=0.050): it:    6300 | loss: 7.110e+00\n",
      "VI NF (t=0.054): it:    6400 | loss: 7.226e+00\n",
      "VI NF (t=0.058): it:    6500 | loss: 6.807e+00\n",
      "VI NF (t=0.062): it:    6600 | loss: 6.888e+00\n",
      "VI NF (t=0.066): it:    6700 | loss: 7.650e+00\n",
      "VI NF (t=0.071): it:    6800 | loss: 7.605e+00\n",
      "VI NF (t=0.076): it:    6900 | loss: 7.290e+00\n",
      "VI NF (t=0.081): it:    7000 | loss: 7.314e+00\n",
      "VI NF (t=0.086): it:    7100 | loss: 6.986e+00\n",
      "VI NF (t=0.092): it:    7200 | loss: 7.425e+00\n",
      "VI NF (t=0.098): it:    7300 | loss: 7.790e+00\n",
      "VI NF (t=0.104): it:    7400 | loss: 7.841e+00\n",
      "VI NF (t=0.111): it:    7500 | loss: 8.551e+00\n",
      "VI NF (t=0.118): it:    7600 | loss: 8.344e+00\n",
      "VI NF (t=0.126): it:    7700 | loss: 7.926e+00\n",
      "VI NF (t=0.133): it:    7800 | loss: 8.191e+00\n",
      "VI NF (t=0.141): it:    7900 | loss: 8.124e+00\n",
      "\n",
      "--- Updating surrogate model\n",
      "\n",
      "Std before inflation -> Std after inflation\n",
      "1.110e+00 -> 1.110e+00\n",
      "3.225e-01 -> 3.225e-01\n",
      "8.923e-01 -> 8.923e-01\n",
      "\n",
      "SUR: UPD: it:       0 | loss: 1.185e-02\n",
      "SUR: UPD: it:     500 | loss: 3.751e-02\n",
      "SUR: UPD: it:    1000 | loss: 1.469e-02\n",
      "SUR: UPD: it:    1500 | loss: 1.219e-02\n",
      "SUR: UPD: it:    2000 | loss: 9.400e-03\n",
      "SUR: UPD: it:    2500 | loss: 7.327e-03\n",
      "SUR: UPD: it:    3000 | loss: 6.174e-03\n",
      "SUR: UPD: it:    3500 | loss: 5.771e-03\n",
      "SUR: UPD: it:    4000 | loss: 5.432e-03\n",
      "SUR: UPD: it:    4500 | loss: 5.144e-03\n",
      "SUR: UPD: it:    5000 | loss: 4.914e-03\n",
      "SUR: UPD: it:    5500 | loss: 4.784e-03\n",
      "\n",
      "--- Surrogate model updated\n",
      "\n",
      "VI NF (t=0.150): it:    8000 | loss: 9.014e+00\n",
      "VI NF (t=0.160): it:    8100 | loss: 8.494e+00\n",
      "VI NF (t=0.173): it:    8200 | loss: 8.526e+00\n",
      "VI NF (t=0.186): it:    8300 | loss: 8.841e+00\n",
      "VI NF (t=0.200): it:    8400 | loss: 9.537e+00\n",
      "VI NF (t=0.213): it:    8500 | loss: 8.967e+00\n",
      "VI NF (t=0.228): it:    8600 | loss: 9.638e+00\n",
      "VI NF (t=0.241): it:    8700 | loss: 9.399e+00\n",
      "VI NF (t=0.255): it:    8800 | loss: 9.370e+00\n",
      "VI NF (t=0.272): it:    8900 | loss: 9.607e+00\n",
      "VI NF (t=0.287): it:    9000 | loss: 9.764e+00\n",
      "VI NF (t=0.308): it:    9100 | loss: 1.013e+01\n",
      "VI NF (t=0.329): it:    9200 | loss: 1.014e+01\n",
      "VI NF (t=0.346): it:    9300 | loss: 1.032e+01\n",
      "VI NF (t=0.368): it:    9400 | loss: 1.089e+01\n",
      "VI NF (t=0.388): it:    9500 | loss: 1.074e+01\n",
      "VI NF (t=0.414): it:    9600 | loss: 1.057e+01\n",
      "VI NF (t=0.440): it:    9700 | loss: 1.111e+01\n",
      "VI NF (t=0.466): it:    9800 | loss: 1.147e+01\n",
      "VI NF (t=0.496): it:    9900 | loss: 1.135e+01\n",
      "--- Saving results at iteration 10000\n",
      "\n",
      "--- Updating surrogate model\n",
      "\n",
      "Std before inflation -> Std after inflation\n",
      "1.002e+00 -> 1.002e+00\n",
      "2.492e-01 -> 2.492e-01\n",
      "8.356e-01 -> 8.356e-01\n",
      "\n",
      "SUR: UPD: it:       0 | loss: 1.952e-02\n",
      "SUR: UPD: it:     500 | loss: 3.685e-02\n",
      "SUR: UPD: it:    1000 | loss: 4.391e-02\n",
      "SUR: UPD: it:    1500 | loss: 1.828e-02\n",
      "SUR: UPD: it:    2000 | loss: 1.372e-02\n",
      "SUR: UPD: it:    2500 | loss: 1.123e-02\n",
      "SUR: UPD: it:    3000 | loss: 1.047e-02\n",
      "SUR: UPD: it:    3500 | loss: 9.877e-03\n",
      "SUR: UPD: it:    4000 | loss: 9.245e-03\n",
      "SUR: UPD: it:    4500 | loss: 8.520e-03\n",
      "SUR: UPD: it:    5000 | loss: 8.276e-03\n",
      "SUR: UPD: it:    5500 | loss: 8.089e-03\n",
      "\n",
      "--- Surrogate model updated\n",
      "\n",
      "VI NF (t=0.526): it:   10000 | loss: 1.302e+01\n",
      "VI NF (t=0.556): it:   10100 | loss: 1.194e+01\n",
      "VI NF (t=0.590): it:   10200 | loss: 1.188e+01\n",
      "VI NF (t=0.622): it:   10300 | loss: 1.386e+01\n",
      "VI NF (t=0.656): it:   10400 | loss: 1.259e+01\n",
      "VI NF (t=0.696): it:   10500 | loss: 1.328e+01\n",
      "VI NF (t=0.739): it:   10600 | loss: 1.384e+01\n",
      "VI NF (t=0.786): it:   10700 | loss: 1.478e+01\n",
      "VI NF (t=0.824): it:   10800 | loss: 1.376e+01\n",
      "VI NF (t=0.879): it:   10900 | loss: 1.457e+01\n",
      "VI NF (t=0.925): it:   11000 | loss: 1.514e+01\n",
      "VI NF (t=0.968): it:   11100 | loss: 1.488e+01\n",
      "VI NF (t=1.000): it:   11200 | loss: 1.529e+01\n",
      "VI NF (t=1.000): it:   11300 | loss: 1.482e+01\n",
      "VI NF (t=1.000): it:   11400 | loss: 1.533e+01\n",
      "VI NF (t=1.000): it:   11500 | loss: 1.539e+01\n",
      "VI NF (t=1.000): it:   11600 | loss: 1.552e+01\n",
      "VI NF (t=1.000): it:   11700 | loss: 1.478e+01\n",
      "VI NF (t=1.000): it:   11800 | loss: 1.485e+01\n",
      "VI NF (t=1.000): it:   11900 | loss: 1.477e+01\n",
      "\n",
      "--- Updating surrogate model\n",
      "\n",
      "Std before inflation -> Std after inflation\n",
      "7.592e-01 -> 7.592e-01\n",
      "1.634e-01 -> 1.634e-01\n",
      "6.678e-01 -> 6.678e-01\n",
      "\n",
      "SUR: UPD: it:       0 | loss: 1.055e-02\n",
      "SUR: UPD: it:     500 | loss: 4.042e-02\n",
      "SUR: UPD: it:    1000 | loss: 1.554e-02\n",
      "SUR: UPD: it:    1500 | loss: 9.839e-03\n",
      "SUR: UPD: it:    2000 | loss: 8.273e-03\n",
      "SUR: UPD: it:    2500 | loss: 6.075e-03\n",
      "SUR: UPD: it:    3000 | loss: 5.406e-03\n",
      "SUR: UPD: it:    3500 | loss: 4.990e-03\n",
      "SUR: UPD: it:    4000 | loss: 4.826e-03\n",
      "SUR: UPD: it:    4500 | loss: 4.693e-03\n",
      "SUR: UPD: it:    5000 | loss: 4.594e-03\n",
      "SUR: UPD: it:    5500 | loss: 4.512e-03\n",
      "\n",
      "--- Surrogate model updated\n",
      "\n",
      "VI NF (t=1.000): it:   12000 | loss: 1.655e+01\n",
      "VI NF (t=1.000): it:   12100 | loss: 1.499e+01\n",
      "VI NF (t=1.000): it:   12200 | loss: 1.533e+01\n",
      "VI NF (t=1.000): it:   12300 | loss: 1.540e+01\n",
      "VI NF (t=1.000): it:   12400 | loss: 1.526e+01\n",
      "VI NF (t=1.000): it:   12500 | loss: 1.503e+01\n",
      "VI NF (t=1.000): it:   12600 | loss: 1.489e+01\n",
      "VI NF (t=1.000): it:   12700 | loss: 1.505e+01\n",
      "VI NF (t=1.000): it:   12800 | loss: 1.513e+01\n",
      "VI NF (t=1.000): it:   12900 | loss: 1.511e+01\n",
      "VI NF (t=1.000): it:   13000 | loss: 1.467e+01\n",
      "VI NF (t=1.000): it:   13100 | loss: 1.516e+01\n",
      "VI NF (t=1.000): it:   13200 | loss: 1.529e+01\n",
      "VI NF (t=1.000): it:   13300 | loss: 1.480e+01\n",
      "VI NF (t=1.000): it:   13400 | loss: 1.510e+01\n",
      "VI NF (t=1.000): it:   13500 | loss: 1.493e+01\n",
      "VI NF (t=1.000): it:   13600 | loss: 1.490e+01\n",
      "VI NF (t=1.000): it:   13700 | loss: 1.582e+01\n",
      "VI NF (t=1.000): it:   13800 | loss: 1.479e+01\n",
      "VI NF (t=1.000): it:   13900 | loss: 1.471e+01\n",
      "\n",
      "--- Updating surrogate model\n",
      "\n",
      "Std before inflation -> Std after inflation\n",
      "8.356e-01 -> 8.356e-01\n",
      "1.591e-01 -> 1.591e-01\n",
      "7.226e-01 -> 7.226e-01\n",
      "\n",
      "SUR: UPD: it:       0 | loss: 5.213e-03\n",
      "SUR: UPD: it:     500 | loss: 4.175e-02\n",
      "SUR: UPD: it:    1000 | loss: 1.323e-02\n",
      "SUR: UPD: it:    1500 | loss: 1.298e-02\n",
      "SUR: UPD: it:    2000 | loss: 8.124e-03\n",
      "SUR: UPD: it:    2500 | loss: 5.622e-03\n",
      "SUR: UPD: it:    3000 | loss: 5.102e-03\n",
      "SUR: UPD: it:    3500 | loss: 4.973e-03\n",
      "SUR: UPD: it:    4000 | loss: 4.886e-03\n",
      "SUR: UPD: it:    4500 | loss: 4.781e-03\n",
      "SUR: UPD: it:    5000 | loss: 4.731e-03\n",
      "SUR: UPD: it:    5500 | loss: 4.692e-03\n",
      "\n",
      "--- Surrogate model updated\n",
      "\n",
      "VI NF (t=1.000): it:   14000 | loss: 1.474e+01\n",
      "VI NF (t=1.000): it:   14100 | loss: 1.547e+01\n",
      "VI NF (t=1.000): it:   14200 | loss: 1.506e+01\n",
      "VI NF (t=1.000): it:   14300 | loss: 1.505e+01\n",
      "VI NF (t=1.000): it:   14400 | loss: 1.505e+01\n",
      "VI NF (t=1.000): it:   14500 | loss: 1.476e+01\n",
      "VI NF (t=1.000): it:   14600 | loss: 1.471e+01\n",
      "VI NF (t=1.000): it:   14700 | loss: 1.492e+01\n",
      "VI NF (t=1.000): it:   14800 | loss: 1.486e+01\n",
      "VI NF (t=1.000): it:   14900 | loss: 1.460e+01\n",
      "--- Saving results at iteration 15000\n",
      "VI NF (t=1.000): it:   15000 | loss: 1.498e+01\n",
      "VI NF (t=1.000): it:   15100 | loss: 1.471e+01\n",
      "VI NF (t=1.000): it:   15200 | loss: 1.479e+01\n",
      "VI NF (t=1.000): it:   15300 | loss: 1.525e+01\n",
      "VI NF (t=1.000): it:   15400 | loss: 1.502e+01\n",
      "VI NF (t=1.000): it:   15500 | loss: 1.469e+01\n",
      "VI NF (t=1.000): it:   15600 | loss: 1.497e+01\n",
      "VI NF (t=1.000): it:   15700 | loss: 1.476e+01\n",
      "VI NF (t=1.000): it:   15800 | loss: 1.509e+01\n",
      "VI NF (t=1.000): it:   15900 | loss: 1.481e+01\n",
      "\n",
      "--- Updating surrogate model\n",
      "\n",
      "Std before inflation -> Std after inflation\n",
      "1.021e+00 -> 1.021e+00\n",
      "2.114e-01 -> 2.114e-01\n",
      "8.731e-01 -> 8.731e-01\n",
      "\n",
      "SUR: UPD: it:       0 | loss: 5.265e-03\n",
      "SUR: UPD: it:     500 | loss: 9.765e-02\n",
      "SUR: UPD: it:    1000 | loss: 2.880e-02\n",
      "SUR: UPD: it:    1500 | loss: 1.977e-02\n",
      "SUR: UPD: it:    2000 | loss: 7.858e-03\n",
      "SUR: UPD: it:    2500 | loss: 6.165e-03\n",
      "SUR: UPD: it:    3000 | loss: 5.518e-03\n",
      "SUR: UPD: it:    3500 | loss: 5.372e-03\n",
      "SUR: UPD: it:    4000 | loss: 5.272e-03\n",
      "SUR: UPD: it:    4500 | loss: 5.220e-03\n",
      "SUR: UPD: it:    5000 | loss: 5.185e-03\n",
      "SUR: UPD: it:    5500 | loss: 5.157e-03\n",
      "\n",
      "--- Surrogate model updated\n",
      "\n",
      "VI NF (t=1.000): it:   16000 | loss: 1.480e+01\n",
      "VI NF (t=1.000): it:   16100 | loss: 1.461e+01\n",
      "VI NF (t=1.000): it:   16200 | loss: 1.462e+01\n",
      "VI NF (t=1.000): it:   16300 | loss: 1.520e+01\n",
      "VI NF (t=1.000): it:   16400 | loss: 1.488e+01\n",
      "VI NF (t=1.000): it:   16500 | loss: 1.495e+01\n",
      "VI NF (t=1.000): it:   16600 | loss: 1.460e+01\n",
      "VI NF (t=1.000): it:   16700 | loss: 1.477e+01\n",
      "VI NF (t=1.000): it:   16800 | loss: 1.465e+01\n",
      "VI NF (t=1.000): it:   16900 | loss: 1.530e+01\n",
      "VI NF (t=1.000): it:   17000 | loss: 1.481e+01\n",
      "VI NF (t=1.000): it:   17100 | loss: 1.503e+01\n",
      "VI NF (t=1.000): it:   17200 | loss: 1.491e+01\n",
      "VI NF (t=1.000): it:   17300 | loss: 1.461e+01\n",
      "VI NF (t=1.000): it:   17400 | loss: 1.475e+01\n",
      "VI NF (t=1.000): it:   17500 | loss: 1.480e+01\n",
      "VI NF (t=1.000): it:   17600 | loss: 1.467e+01\n",
      "VI NF (t=1.000): it:   17700 | loss: 1.496e+01\n",
      "VI NF (t=1.000): it:   17800 | loss: 1.480e+01\n",
      "VI NF (t=1.000): it:   17900 | loss: 1.478e+01\n",
      "\n",
      "--- Updating surrogate model\n",
      "\n",
      "Std before inflation -> Std after inflation\n",
      "7.920e-01 -> 7.920e-01\n",
      "1.486e-01 -> 1.486e-01\n",
      "6.749e-01 -> 6.749e-01\n",
      "\n",
      "SUR: UPD: it:       0 | loss: 5.455e-03\n",
      "SUR: UPD: it:     500 | loss: 5.221e-02\n",
      "SUR: UPD: it:    1000 | loss: 1.615e-02\n",
      "SUR: UPD: it:    1500 | loss: 1.359e-02\n",
      "SUR: UPD: it:    2000 | loss: 1.158e-02\n",
      "SUR: UPD: it:    2500 | loss: 6.820e-03\n",
      "SUR: UPD: it:    3000 | loss: 5.785e-03\n",
      "SUR: UPD: it:    3500 | loss: 5.638e-03\n",
      "SUR: UPD: it:    4000 | loss: 5.521e-03\n",
      "SUR: UPD: it:    4500 | loss: 5.369e-03\n",
      "SUR: UPD: it:    5000 | loss: 5.291e-03\n",
      "SUR: UPD: it:    5500 | loss: 5.234e-03\n",
      "\n",
      "--- Surrogate model updated\n",
      "\n",
      "VI NF (t=1.000): it:   18000 | loss: 1.520e+01\n",
      "VI NF (t=1.000): it:   18100 | loss: 1.501e+01\n",
      "VI NF (t=1.000): it:   18200 | loss: 1.488e+01\n",
      "VI NF (t=1.000): it:   18300 | loss: 1.473e+01\n",
      "VI NF (t=1.000): it:   18400 | loss: 1.489e+01\n",
      "VI NF (t=1.000): it:   18500 | loss: 1.466e+01\n",
      "VI NF (t=1.000): it:   18600 | loss: 1.477e+01\n",
      "VI NF (t=1.000): it:   18700 | loss: 1.506e+01\n",
      "VI NF (t=1.000): it:   18800 | loss: 1.486e+01\n",
      "VI NF (t=1.000): it:   18900 | loss: 1.451e+01\n",
      "VI NF (t=1.000): it:   19000 | loss: 1.470e+01\n",
      "VI NF (t=1.000): it:   19100 | loss: 1.480e+01\n",
      "VI NF (t=1.000): it:   19200 | loss: 1.473e+01\n",
      "VI NF (t=1.000): it:   19300 | loss: 1.467e+01\n",
      "VI NF (t=1.000): it:   19400 | loss: 1.461e+01\n",
      "VI NF (t=1.000): it:   19500 | loss: 1.452e+01\n",
      "VI NF (t=1.000): it:   19600 | loss: 1.493e+01\n",
      "VI NF (t=1.000): it:   19700 | loss: 1.457e+01\n",
      "VI NF (t=1.000): it:   19800 | loss: 1.483e+01\n",
      "VI NF (t=1.000): it:   19900 | loss: 1.471e+01\n",
      "--- Saving results at iteration 20000\n",
      "\n",
      "--- Updating surrogate model\n",
      "\n",
      "Std before inflation -> Std after inflation\n",
      "7.021e-01 -> 7.021e-01\n",
      "1.436e-01 -> 1.436e-01\n",
      "6.034e-01 -> 6.034e-01\n",
      "\n",
      "SUR: UPD: it:       0 | loss: 5.580e-03\n",
      "SUR: UPD: it:     500 | loss: 5.468e-02\n",
      "SUR: UPD: it:    1000 | loss: 2.160e-02\n",
      "SUR: UPD: it:    1500 | loss: 7.003e-03\n",
      "SUR: UPD: it:    2000 | loss: 6.942e-03\n",
      "SUR: UPD: it:    2500 | loss: 5.077e-03\n",
      "SUR: UPD: it:    3000 | loss: 4.563e-03\n",
      "SUR: UPD: it:    3500 | loss: 4.358e-03\n",
      "SUR: UPD: it:    4000 | loss: 4.254e-03\n",
      "SUR: UPD: it:    4500 | loss: 4.091e-03\n",
      "SUR: UPD: it:    5000 | loss: 4.030e-03\n",
      "SUR: UPD: it:    5500 | loss: 3.989e-03\n",
      "\n",
      "--- Surrogate model updated\n",
      "\n",
      "VI NF (t=1.000): it:   20000 | loss: 1.506e+01\n",
      "VI NF (t=1.000): it:   20100 | loss: 1.449e+01\n",
      "VI NF (t=1.000): it:   20200 | loss: 1.475e+01\n",
      "VI NF (t=1.000): it:   20300 | loss: 1.457e+01\n",
      "VI NF (t=1.000): it:   20400 | loss: 1.459e+01\n",
      "VI NF (t=1.000): it:   20500 | loss: 1.429e+01\n",
      "VI NF (t=1.000): it:   20600 | loss: 1.447e+01\n",
      "VI NF (t=1.000): it:   20700 | loss: 1.446e+01\n",
      "VI NF (t=1.000): it:   20800 | loss: 1.519e+01\n",
      "VI NF (t=1.000): it:   20900 | loss: 1.438e+01\n",
      "VI NF (t=1.000): it:   21000 | loss: 1.441e+01\n",
      "VI NF (t=1.000): it:   21100 | loss: 1.445e+01\n",
      "VI NF (t=1.000): it:   21200 | loss: 1.451e+01\n",
      "VI NF (t=1.000): it:   21300 | loss: 1.435e+01\n",
      "VI NF (t=1.000): it:   21400 | loss: 1.436e+01\n",
      "VI NF (t=1.000): it:   21500 | loss: 1.440e+01\n",
      "VI NF (t=1.000): it:   21600 | loss: 1.467e+01\n",
      "VI NF (t=1.000): it:   21700 | loss: 1.444e+01\n",
      "VI NF (t=1.000): it:   21800 | loss: 1.508e+01\n",
      "VI NF (t=1.000): it:   21900 | loss: 1.440e+01\n",
      "\n",
      "--- Updating surrogate model\n",
      "\n",
      "Std before inflation -> Std after inflation\n",
      "9.966e-01 -> 9.966e-01\n",
      "2.030e-01 -> 2.030e-01\n",
      "8.306e-01 -> 8.306e-01\n",
      "\n",
      "SUR: UPD: it:       0 | loss: 4.235e-03\n",
      "SUR: UPD: it:     500 | loss: 2.240e-02\n",
      "SUR: UPD: it:    1000 | loss: 1.279e-02\n",
      "SUR: UPD: it:    1500 | loss: 5.627e-03\n",
      "SUR: UPD: it:    2000 | loss: 7.259e-03\n",
      "SUR: UPD: it:    2500 | loss: 4.469e-03\n",
      "SUR: UPD: it:    3000 | loss: 4.221e-03\n",
      "SUR: UPD: it:    3500 | loss: 4.128e-03\n",
      "SUR: UPD: it:    4000 | loss: 4.043e-03\n",
      "SUR: UPD: it:    4500 | loss: 3.994e-03\n",
      "SUR: UPD: it:    5000 | loss: 3.958e-03\n",
      "SUR: UPD: it:    5500 | loss: 3.918e-03\n",
      "\n",
      "--- Surrogate model updated\n",
      "\n",
      "VI NF (t=1.000): it:   22000 | loss: 1.447e+01\n",
      "VI NF (t=1.000): it:   22100 | loss: 1.448e+01\n",
      "VI NF (t=1.000): it:   22200 | loss: 1.424e+01\n",
      "VI NF (t=1.000): it:   22300 | loss: 1.452e+01\n",
      "VI NF (t=1.000): it:   22400 | loss: 1.463e+01\n",
      "VI NF (t=1.000): it:   22500 | loss: 1.459e+01\n",
      "VI NF (t=1.000): it:   22600 | loss: 1.450e+01\n",
      "VI NF (t=1.000): it:   22700 | loss: 1.427e+01\n",
      "VI NF (t=1.000): it:   22800 | loss: 1.440e+01\n",
      "VI NF (t=1.000): it:   22900 | loss: 1.440e+01\n",
      "VI NF (t=1.000): it:   23000 | loss: 1.421e+01\n",
      "VI NF (t=1.000): it:   23100 | loss: 1.510e+01\n",
      "VI NF (t=1.000): it:   23200 | loss: 1.433e+01\n",
      "VI NF (t=1.000): it:   23300 | loss: 1.422e+01\n",
      "VI NF (t=1.000): it:   23400 | loss: 1.432e+01\n",
      "VI NF (t=1.000): it:   23500 | loss: 1.436e+01\n",
      "VI NF (t=1.000): it:   23600 | loss: 1.450e+01\n",
      "VI NF (t=1.000): it:   23700 | loss: 1.444e+01\n",
      "VI NF (t=1.000): it:   23800 | loss: 1.457e+01\n",
      "VI NF (t=1.000): it:   23900 | loss: 1.472e+01\n",
      "\n",
      "--- Updating surrogate model\n",
      "\n",
      "Std before inflation -> Std after inflation\n",
      "9.116e-01 -> 9.116e-01\n",
      "1.567e-01 -> 1.567e-01\n",
      "7.682e-01 -> 7.682e-01\n",
      "\n",
      "SUR: UPD: it:       0 | loss: 4.040e-03\n",
      "SUR: UPD: it:     500 | loss: 3.107e-02\n",
      "SUR: UPD: it:    1000 | loss: 1.386e-02\n",
      "SUR: UPD: it:    1500 | loss: 1.236e-02\n",
      "SUR: UPD: it:    2000 | loss: 5.685e-03\n",
      "SUR: UPD: it:    2500 | loss: 4.995e-03\n",
      "SUR: UPD: it:    3000 | loss: 4.473e-03\n",
      "SUR: UPD: it:    3500 | loss: 4.348e-03\n",
      "SUR: UPD: it:    4000 | loss: 4.203e-03\n",
      "SUR: UPD: it:    4500 | loss: 4.146e-03\n",
      "SUR: UPD: it:    5000 | loss: 4.108e-03\n",
      "SUR: UPD: it:    5500 | loss: 4.072e-03\n",
      "\n",
      "--- Surrogate model updated\n",
      "\n",
      "VI NF (t=1.000): it:   24000 | loss: 1.438e+01\n",
      "VI NF (t=1.000): it:   24100 | loss: 1.460e+01\n",
      "VI NF (t=1.000): it:   24200 | loss: 1.442e+01\n",
      "VI NF (t=1.000): it:   24300 | loss: 1.485e+01\n",
      "VI NF (t=1.000): it:   24400 | loss: 1.480e+01\n",
      "VI NF (t=1.000): it:   24500 | loss: 1.449e+01\n",
      "VI NF (t=1.000): it:   24600 | loss: 1.427e+01\n",
      "VI NF (t=1.000): it:   24700 | loss: 1.452e+01\n",
      "VI NF (t=1.000): it:   24800 | loss: 1.428e+01\n",
      "VI NF (t=1.000): it:   24900 | loss: 1.488e+01\n",
      "--- Saving results at iteration 25000\n",
      "VI NF (t=1.000): it:   25000 | loss: 1.454e+01\n",
      "VI NF (t=1.000): it:   25100 | loss: 1.427e+01\n",
      "VI NF (t=1.000): it:   25200 | loss: 1.442e+01\n",
      "VI NF (t=1.000): it:   25300 | loss: 1.471e+01\n",
      "VI NF (t=1.000): it:   25400 | loss: 1.429e+01\n",
      "VI NF (t=1.000): it:   25500 | loss: 1.435e+01\n",
      "VI NF (t=1.000): it:   25600 | loss: 1.427e+01\n",
      "VI NF (t=1.000): it:   25700 | loss: 1.416e+01\n",
      "VI NF (t=1.000): it:   25800 | loss: 1.433e+01\n",
      "VI NF (t=1.000): it:   25900 | loss: 1.449e+01\n",
      "\n",
      "--- Updating surrogate model\n",
      "\n",
      "Std before inflation -> Std after inflation\n",
      "9.151e-01 -> 9.151e-01\n",
      "1.991e-01 -> 1.991e-01\n",
      "7.685e-01 -> 7.685e-01\n",
      "\n",
      "SUR: UPD: it:       0 | loss: 4.379e-03\n",
      "SUR: UPD: it:     500 | loss: 1.899e-02\n",
      "SUR: UPD: it:    1000 | loss: 1.188e-02\n",
      "SUR: UPD: it:    1500 | loss: 1.609e-02\n",
      "SUR: UPD: it:    2000 | loss: 6.333e-03\n",
      "SUR: UPD: it:    2500 | loss: 5.559e-03\n",
      "SUR: UPD: it:    3000 | loss: 5.315e-03\n",
      "SUR: UPD: it:    3500 | loss: 5.064e-03\n",
      "SUR: UPD: it:    4000 | loss: 4.760e-03\n",
      "SUR: UPD: it:    4500 | loss: 4.654e-03\n",
      "SUR: UPD: it:    5000 | loss: 4.542e-03\n",
      "SUR: UPD: it:    5500 | loss: 4.472e-03\n",
      "\n",
      "--- Surrogate model updated\n",
      "\n",
      "VI NF (t=1.000): it:   26000 | loss: 1.506e+01\n",
      "VI NF (t=1.000): it:   26100 | loss: 1.427e+01\n",
      "VI NF (t=1.000): it:   26200 | loss: 1.439e+01\n",
      "VI NF (t=1.000): it:   26300 | loss: 1.413e+01\n",
      "VI NF (t=1.000): it:   26400 | loss: 1.418e+01\n",
      "VI NF (t=1.000): it:   26500 | loss: 1.428e+01\n",
      "VI NF (t=1.000): it:   26600 | loss: 1.426e+01\n",
      "VI NF (t=1.000): it:   26700 | loss: 1.443e+01\n",
      "VI NF (t=1.000): it:   26800 | loss: 1.485e+01\n",
      "VI NF (t=1.000): it:   26900 | loss: 1.425e+01\n",
      "VI NF (t=1.000): it:   27000 | loss: 1.436e+01\n",
      "VI NF (t=1.000): it:   27100 | loss: 1.432e+01\n",
      "VI NF (t=1.000): it:   27200 | loss: 1.427e+01\n",
      "VI NF (t=1.000): it:   27300 | loss: 1.436e+01\n",
      "VI NF (t=1.000): it:   27400 | loss: 1.433e+01\n",
      "VI NF (t=1.000): it:   27500 | loss: 1.410e+01\n",
      "VI NF (t=1.000): it:   27600 | loss: 1.420e+01\n",
      "VI NF (t=1.000): it:   27700 | loss: 1.424e+01\n",
      "VI NF (t=1.000): it:   27800 | loss: 1.422e+01\n",
      "VI NF (t=1.000): it:   27900 | loss: 1.439e+01\n",
      "\n",
      "--- Updating surrogate model\n",
      "\n",
      "Std before inflation -> Std after inflation\n",
      "1.127e+00 -> 1.127e+00\n",
      "2.378e-01 -> 2.378e-01\n",
      "9.542e-01 -> 9.542e-01\n",
      "\n",
      "SUR: UPD: it:       0 | loss: 4.859e-03\n",
      "SUR: UPD: it:     500 | loss: 5.057e-02\n",
      "SUR: UPD: it:    1000 | loss: 3.723e-02\n",
      "SUR: UPD: it:    1500 | loss: 7.700e-03\n",
      "SUR: UPD: it:    2000 | loss: 7.524e-03\n",
      "SUR: UPD: it:    2500 | loss: 5.830e-03\n",
      "SUR: UPD: it:    3000 | loss: 5.132e-03\n",
      "SUR: UPD: it:    3500 | loss: 4.714e-03\n",
      "SUR: UPD: it:    4000 | loss: 4.449e-03\n",
      "SUR: UPD: it:    4500 | loss: 4.357e-03\n",
      "SUR: UPD: it:    5000 | loss: 4.285e-03\n",
      "SUR: UPD: it:    5500 | loss: 4.239e-03\n",
      "\n",
      "--- Surrogate model updated\n",
      "\n",
      "VI NF (t=1.000): it:   28000 | loss: 1.476e+01\n",
      "VI NF (t=1.000): it:   28100 | loss: 1.424e+01\n",
      "VI NF (t=1.000): it:   28200 | loss: 1.447e+01\n",
      "VI NF (t=1.000): it:   28300 | loss: 1.483e+01\n",
      "VI NF (t=1.000): it:   28400 | loss: 1.455e+01\n",
      "VI NF (t=1.000): it:   28500 | loss: 1.441e+01\n",
      "VI NF (t=1.000): it:   28600 | loss: 1.437e+01\n",
      "VI NF (t=1.000): it:   28700 | loss: 1.442e+01\n",
      "VI NF (t=1.000): it:   28800 | loss: 1.445e+01\n",
      "VI NF (t=1.000): it:   28900 | loss: 1.456e+01\n",
      "VI NF (t=1.000): it:   29000 | loss: 1.415e+01\n",
      "VI NF (t=1.000): it:   29100 | loss: 1.451e+01\n",
      "VI NF (t=1.000): it:   29200 | loss: 1.441e+01\n",
      "VI NF (t=1.000): it:   29300 | loss: 1.428e+01\n",
      "VI NF (t=1.000): it:   29400 | loss: 1.484e+01\n",
      "VI NF (t=1.000): it:   29500 | loss: 1.430e+01\n",
      "VI NF (t=1.000): it:   29600 | loss: 1.434e+01\n",
      "VI NF (t=1.000): it:   29700 | loss: 1.422e+01\n",
      "VI NF (t=1.000): it:   29800 | loss: 1.420e+01\n",
      "VI NF (t=1.000): it:   29900 | loss: 1.434e+01\n",
      "--- Saving results at iteration 30000\n",
      "\n",
      "--- Updating surrogate model\n",
      "\n",
      "Std before inflation -> Std after inflation\n",
      "1.039e+00 -> 1.039e+00\n",
      "1.933e-01 -> 1.933e-01\n",
      "8.661e-01 -> 8.661e-01\n",
      "\n",
      "SUR: UPD: it:       0 | loss: 4.299e-03\n",
      "SUR: UPD: it:     500 | loss: 4.884e-02\n",
      "SUR: UPD: it:    1000 | loss: 1.782e-02\n",
      "SUR: UPD: it:    1500 | loss: 7.554e-03\n",
      "SUR: UPD: it:    2000 | loss: 6.015e-03\n",
      "SUR: UPD: it:    2500 | loss: 5.871e-03\n",
      "SUR: UPD: it:    3000 | loss: 4.793e-03\n",
      "SUR: UPD: it:    3500 | loss: 4.311e-03\n",
      "SUR: UPD: it:    4000 | loss: 4.257e-03\n",
      "SUR: UPD: it:    4500 | loss: 4.165e-03\n",
      "SUR: UPD: it:    5000 | loss: 4.105e-03\n",
      "SUR: UPD: it:    5500 | loss: 4.059e-03\n",
      "\n",
      "--- Surrogate model updated\n",
      "\n",
      "VI NF (t=1.000): it:   30000 | loss: 1.469e+01\n",
      "VI NF (t=1.000): it:   30100 | loss: 1.420e+01\n",
      "VI NF (t=1.000): it:   30200 | loss: 1.419e+01\n",
      "VI NF (t=1.000): it:   30300 | loss: 1.440e+01\n",
      "VI NF (t=1.000): it:   30400 | loss: 1.422e+01\n",
      "VI NF (t=1.000): it:   30500 | loss: 1.422e+01\n",
      "VI NF (t=1.000): it:   30600 | loss: 1.440e+01\n",
      "VI NF (t=1.000): it:   30700 | loss: 1.407e+01\n",
      "VI NF (t=1.000): it:   30800 | loss: 1.430e+01\n",
      "VI NF (t=1.000): it:   30900 | loss: 1.439e+01\n",
      "VI NF (t=1.000): it:   31000 | loss: 1.416e+01\n",
      "VI NF (t=1.000): it:   31100 | loss: 1.434e+01\n",
      "VI NF (t=1.000): it:   31200 | loss: 1.424e+01\n",
      "VI NF (t=1.000): it:   31300 | loss: 1.438e+01\n",
      "VI NF (t=1.000): it:   31400 | loss: 1.445e+01\n",
      "VI NF (t=1.000): it:   31500 | loss: 1.422e+01\n",
      "VI NF (t=1.000): it:   31600 | loss: 1.431e+01\n",
      "VI NF (t=1.000): it:   31700 | loss: 1.426e+01\n",
      "VI NF (t=1.000): it:   31800 | loss: 1.424e+01\n",
      "VI NF (t=1.000): it:   31900 | loss: 1.472e+01\n",
      "\n",
      "--- Updating surrogate model\n",
      "\n",
      "Std before inflation -> Std after inflation\n",
      "1.178e+00 -> 1.178e+00\n",
      "1.709e-01 -> 1.709e-01\n",
      "1.001e+00 -> 1.001e+00\n",
      "\n",
      "SUR: UPD: it:       0 | loss: 4.096e-03\n",
      "SUR: UPD: it:     500 | loss: 1.765e-02\n",
      "SUR: UPD: it:    1000 | loss: 1.049e-02\n",
      "SUR: UPD: it:    1500 | loss: 8.594e-03\n",
      "SUR: UPD: it:    2000 | loss: 5.135e-03\n",
      "SUR: UPD: it:    2500 | loss: 3.869e-03\n",
      "SUR: UPD: it:    3000 | loss: 3.777e-03\n",
      "SUR: UPD: it:    3500 | loss: 3.582e-03\n",
      "SUR: UPD: it:    4000 | loss: 3.485e-03\n",
      "SUR: UPD: it:    4500 | loss: 3.382e-03\n",
      "SUR: UPD: it:    5000 | loss: 3.325e-03\n",
      "SUR: UPD: it:    5500 | loss: 3.285e-03\n",
      "\n",
      "--- Surrogate model updated\n",
      "\n",
      "VI NF (t=1.000): it:   32000 | loss: 1.432e+01\n",
      "VI NF (t=1.000): it:   32100 | loss: 1.432e+01\n",
      "VI NF (t=1.000): it:   32200 | loss: 1.431e+01\n",
      "VI NF (t=1.000): it:   32300 | loss: 1.416e+01\n",
      "VI NF (t=1.000): it:   32400 | loss: 1.449e+01\n",
      "VI NF (t=1.000): it:   32500 | loss: 1.431e+01\n",
      "VI NF (t=1.000): it:   32600 | loss: 1.424e+01\n",
      "VI NF (t=1.000): it:   32700 | loss: 1.428e+01\n",
      "VI NF (t=1.000): it:   32800 | loss: 1.434e+01\n",
      "VI NF (t=1.000): it:   32900 | loss: 1.417e+01\n",
      "VI NF (t=1.000): it:   33000 | loss: 1.411e+01\n",
      "VI NF (t=1.000): it:   33100 | loss: 1.403e+01\n",
      "VI NF (t=1.000): it:   33200 | loss: 1.426e+01\n",
      "VI NF (t=1.000): it:   33300 | loss: 1.474e+01\n",
      "VI NF (t=1.000): it:   33400 | loss: 1.425e+01\n",
      "VI NF (t=1.000): it:   33500 | loss: 1.408e+01\n",
      "VI NF (t=1.000): it:   33600 | loss: 1.409e+01\n",
      "VI NF (t=1.000): it:   33700 | loss: 1.430e+01\n",
      "VI NF (t=1.000): it:   33800 | loss: 1.415e+01\n",
      "VI NF (t=1.000): it:   33900 | loss: 1.434e+01\n",
      "\n",
      "--- Updating surrogate model\n",
      "\n",
      "Std before inflation -> Std after inflation\n",
      "1.422e+00 -> 1.422e+00\n",
      "2.405e-01 -> 2.405e-01\n",
      "1.184e+00 -> 1.184e+00\n",
      "\n",
      "SUR: UPD: it:       0 | loss: 3.881e-03\n",
      "SUR: UPD: it:     500 | loss: 2.671e-02\n",
      "SUR: UPD: it:    1000 | loss: 1.024e-02\n",
      "SUR: UPD: it:    1500 | loss: 1.053e-02\n",
      "SUR: UPD: it:    2000 | loss: 4.400e-03\n",
      "SUR: UPD: it:    2500 | loss: 5.529e-03\n",
      "SUR: UPD: it:    3000 | loss: 3.854e-03\n",
      "SUR: UPD: it:    3500 | loss: 3.495e-03\n",
      "SUR: UPD: it:    4000 | loss: 3.393e-03\n",
      "SUR: UPD: it:    4500 | loss: 3.330e-03\n",
      "SUR: UPD: it:    5000 | loss: 3.300e-03\n",
      "SUR: UPD: it:    5500 | loss: 3.260e-03\n",
      "\n",
      "--- Surrogate model updated\n",
      "\n",
      "VI NF (t=1.000): it:   34000 | loss: 1.463e+01\n",
      "VI NF (t=1.000): it:   34100 | loss: 1.421e+01\n",
      "VI NF (t=1.000): it:   34200 | loss: 1.422e+01\n",
      "VI NF (t=1.000): it:   34300 | loss: 1.430e+01\n",
      "VI NF (t=1.000): it:   34400 | loss: 1.412e+01\n",
      "VI NF (t=1.000): it:   34500 | loss: 1.415e+01\n",
      "VI NF (t=1.000): it:   34600 | loss: 1.426e+01\n",
      "VI NF (t=1.000): it:   34700 | loss: 1.432e+01\n",
      "VI NF (t=1.000): it:   34800 | loss: 1.421e+01\n",
      "VI NF (t=1.000): it:   34900 | loss: 1.407e+01\n",
      "--- Saving results at iteration 35000\n",
      "VI NF (t=1.000): it:   35000 | loss: 1.433e+01\n",
      "VI NF (t=1.000): it:   35100 | loss: 1.419e+01\n",
      "VI NF (t=1.000): it:   35200 | loss: 1.401e+01\n",
      "VI NF (t=1.000): it:   35300 | loss: 1.422e+01\n",
      "VI NF (t=1.000): it:   35400 | loss: 1.439e+01\n",
      "VI NF (t=1.000): it:   35500 | loss: 1.423e+01\n",
      "VI NF (t=1.000): it:   35600 | loss: 1.439e+01\n",
      "VI NF (t=1.000): it:   35700 | loss: 1.421e+01\n",
      "VI NF (t=1.000): it:   35800 | loss: 1.411e+01\n",
      "VI NF (t=1.000): it:   35900 | loss: 1.417e+01\n",
      "\n",
      "--- Updating surrogate model\n",
      "\n",
      "Std before inflation -> Std after inflation\n",
      "9.419e-01 -> 9.419e-01\n",
      "2.319e-01 -> 2.319e-01\n",
      "7.815e-01 -> 7.815e-01\n",
      "\n",
      "SUR: UPD: it:       0 | loss: 3.299e-03\n",
      "SUR: UPD: it:     500 | loss: 3.264e-02\n",
      "SUR: UPD: it:    1000 | loss: 2.505e-02\n",
      "SUR: UPD: it:    1500 | loss: 1.314e-02\n",
      "SUR: UPD: it:    2000 | loss: 4.835e-03\n",
      "SUR: UPD: it:    2500 | loss: 4.117e-03\n",
      "SUR: UPD: it:    3000 | loss: 3.915e-03\n",
      "SUR: UPD: it:    3500 | loss: 3.822e-03\n",
      "SUR: UPD: it:    4000 | loss: 3.669e-03\n",
      "SUR: UPD: it:    4500 | loss: 3.588e-03\n",
      "SUR: UPD: it:    5000 | loss: 3.563e-03\n",
      "SUR: UPD: it:    5500 | loss: 3.535e-03\n",
      "\n",
      "--- Surrogate model updated\n",
      "\n",
      "VI NF (t=1.000): it:   36000 | loss: 1.419e+01\n",
      "VI NF (t=1.000): it:   36100 | loss: 1.420e+01\n",
      "\n",
      "--- Simulation completed!\n"
     ]
    }
   ],
   "source": [
    "## Run \n",
    "print('')\n",
    "print('--- TUTORIAL: Ballistic Example - with NN surrogate and annealing')\n",
    "\n",
    "# Assign logdensity\n",
    "exp.model_logdensity = lambda x: log_density(x, model, exp.surrogate, trsf)\n",
    "\n",
    "# Run VI\n",
    "exp.run()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "4d134710",
   "metadata": {},
   "source": [
    "We generate plots with the same command we used for full model inference, but a different folder name."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 77,
   "id": "6d7ecbd8",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Plotting log...\n",
      "Plotting posterior samples...\n",
      "Plotting posterior predictive samples...\n"
     ]
    }
   ],
   "source": [
    "import linfa\n",
    "! python3 -m linfa.plot_res -n phys_surr_3d -i 30000 -f \"./\" -p 'png' -d"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "3d148f88",
   "metadata": {},
   "source": [
    "You can now visualize the results"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 78,
   "id": "7c9d8f60",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "metadata": {
      "image/png": {
       "width": 300
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "from IPython.display import Image, display\n",
    "display(Image(filename='phys_surr_3d/log_plot.png',width=300))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 79,
   "id": "9ae2064f",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "metadata": {
      "image/png": {
       "width": 300
      }
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "metadata": {
      "image/png": {
       "width": 300
      }
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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IaoBTSWVHUklkksGUf4ZgIU/7/3fZvjLXfhN+zGU/94gfRznSSgzxdlY1KiYZfRc4iUW63ZhBbfJrhYjO5Xx0YoauHYtkm/26tf5sHiOINRG52GVizkvlgJNzWYNFvi2JH5VdtVC6FrnOz6WSow4/5krRHJa6/lkKoezktsUrYW2FFfwwjGElEHsKUe9UUgOcyi7Jo/Yy7sZ4txOZVJX4rBKFXG68OcyQr/ixlzEjOEmUBJUbU/KYGQrX2K0kp1kqn/w+lgOu9Z/bGNR+nMLoXBByjnAeslj0O4UZmD/BDOUchV2rOjEDWSoHnJzLJcy43/FzTBGs5k7KL5awQjQEKYbAy11/Ms3Q4tc3TfTTLr4HW8nF77RGeDuyGUx+P6PyR02XbF9SA5zKLsijli/arfFWGpnkMMOS8+1zRB5YUqzMK13pRopepTSHMKPUTuRSS42peA7qE8foIRpiFNcSbyZzwBXCMTgOfMq/m/DPxfRd9W3m/JqqMGOd82tqxAyzForQflVYS81yOWDNnSB8LYqwihlfLZtY558rF63rzRHEqzH/fCM0ohY44dfaTszdsl/PGDuLWHeSb96ubIbK3K+o/FHTJTuT1ACnsgvyqOWLdmu8lUYmIvCovaGMb6lzlVJAIjKVaj5RPIYOzHiUG5MMVBdhdJeJlozL/tkCYZC72FqnqVYsCjzmfzf6dXQT5DMpd8G2YMp9kYhe1elqMXF+5XxL5YA3Ut4Qa0jLiCVz0cl6XEHmC8RqUKUY5breLsxp6SRqoJv8WuVY7CRifRidpDZDZe5XVF7Ju/n4RMipAX5s5UE+pA8DItuJ7NZ4K41MljCjM83m96OUAqoiOkEVj7fUGOp9/1Ys6lSONGmgMr5dA1Y3LHaySppaMaOjPsi9bF47nDx+F2Z4u/1z5W6PEasoKWpNOiItfvykszGROH8LYTyLI3VKzJ2Udykj1kzkopPb5wiDqyg8WbecFN2vdv87mfue8GPLsdju+7fVnHE52apO2Agmv19R+Wbv5nYj5L1ptPeqhkxlS1JLwGibQZb346F7GBDZTmS3xruVyKTSnF8pBVSFGd9S400SsQ5giv8wZgQafJsOzOAljXsjYbyOY0ZaTS6W/fO7mJHrxgzVZjnl5PEz/nvZx1hHrJFbgxm/exQuA6jr7yFyty1EHbGMZCvmLCgXrEi9m4g4SzkqxUZMBrZ4++RY2hLzVOqaa+hjlV5uMMwKWbp9vIsEy32MnUesW8kZl5LdhnYnsXuojmd6dnYalW/2bm4Hvdq7sHZqgB8L6cQUdCWQ5f2AhB+1Zuu7Nd7dikyKjykjI5bvLcxoKS+qVo1qCpHDDF4DoRR7MKW4jD0bWoNWxv0aVhYkZrKMxByRL5XBFNEJNu9J3YrlZ6t9TKuYQyAjdo8oP2ok4GjBxO0+xiaiGcY00aJz2s/fzvpIfdm3K1beUOigKqetz4qjabXLVD2wHJlPATdRfrmdGQaYoJ9R4DoAg3yPC/wkeRYwAlqOrZeE7UTKRXrFDUoqWeP4fo1lI6mkh/ZW0au9myJLDfBjIbWshywb2bhf7m7K/TBE25VKXvrdHO9OI5NiWcQ6SqkL0yxmwIb8XHWJ7Rowz34ZMxjVmAFqwaJHGddScHW5umH8mJUuNZiUWsz4dvj4BXFDLM1X6+MTNL1A4QIU80RXrH3+00DUCKssSOMmMS6VDiWVtyD5BsJ5WfX5SaIH3UQ0vQw84dsuEPXZ45hxngBWGeBP6WehYAb6ucIAX+Msn8KM8jjR5CPpBNyP92OjSK828fkycX/asPtyh62R7VqJ5RzFTq+icIWr7USdm72b20Gv9m6K7OGPIJVdED3geri0wsuDhIR32xBtR7by0t/P8W433yQDtkrkcJcwVnG7/608bRNmUGS8FOne9u8Fz45iBu0IFn02s37VouL5SSpA5VbLLTWYlJbEtUvBTWKGZ5EgNTX79uNEvrjFj6kOYLPYUoHKXTdgTOMcZhin/bsa367a/8/79vU+VjGjuwmC2jRhPHI+j8loWjB5i49z3uf7oO/bQR836We2xBxAP/fo4wbZtTzyg4JAN4r0ZLi06EXGt1kgSthqtjCmzYzaTqLOjd7N7aBXezdFlhrgx0KKHy6xbqd5+JDwgyQ/7OSl361x7kTZtmKGJkNEfe2Y8VjBjEUpMhZ+HkHU40QEKfhY0d0YAVOrdaXGXer6x/16FH1v9CzVEpHph8APYQZxCnMMnvBjKJqtJ1pLyhjIcNahSNMM5w3CAK5iOe0uP68QnyP+2Q2i13QnQbiawIy4DEXe99P5IfLeDcQqSDLEcwju710rTyotvYyRXVtM4n6W7CTvWQPljaJ0wqRf0xJyJux503xUOqbNjJrSDO1EimSWeN62K9tBr/Zuiiw1wI+FLLH+4RLL9GFCwg+a/LBdqGk3xill2EVhec9WnQAtRjCDGawqDB6spjwZS0pVsOptzFgtEnDuEcwAiZ0rQ9mARd3Nfu3VhLLW9Veq8OYwYzaFGRsxsFd93FpLdxXL/a76+Vp8uybCOZgk6nEVlU75Z0l4fRnL1Qp+n8KU/XUCfq7FDEGHj3PU9znkx8tRaEwWMdRhv58j458dQKjAMJ0lrj9kmHnsHsowdvlxVLNczOzdqvNX6pkVq7sUQ3ycqBvHz7cPm7/bJca0mVRi1FSC1kaUl+0G6rRV9GovpcgKJTXAj4WMYYqn+OHaqbe5U3nQ5IftQk07HWdSGWZYX95TqRPQghkSrZ2r/GIGM2ZTBISaVHoaY4efdxr4iDC8yqtO+DilDHN+vDY/vxRyB5Zz1vVXqvDEtL5GkLcafCwykJrbJaJUKY85TE/52Op8XHV+jIXE/60EkQvsfqm95SFC2cpgCnad83mdwUqhJuljmV4WGaaa7NpCDcl5ve773sYM+G3MKI+SpYZB2uhnYt0sDALZtc/Fz+jy8ezH7sM9KoOnKyFVJcu1SuW0IWq5h4kSqwxmtNux+7sVWHbvGrXSshdSZOslNcCPhezNh+vBkx+2CzXtdJyblfdUQhIRnKr+xTNEnvYeAYdeJTo7iZ2r3KUg5TpsHrRGcFvRbwgY+xSmhMUiVl5WrRu3Ikt+zCM+jntEc5A6zDEYIRxDGYGjGMO4joAp2/38GkuHfzeJkdJqMMNb49+1ES0fW7F2nDPEYgxCg6CdWwzwPWcvmwzSzAX2k187f7ETe9ePO405M01c4AgDLNO/1rjDjO+Fgjk5gEWjgr7nfFzNmDHcyPmbpPzaxi2sbx2q/LnKtpIMcT0nioSFzuQobDhSCSxb7BSUI2+pVGkEu88PH/Lda5Ia4FTuozxo8sN2vfKdjjNpwMuV92ykfKSEZQTriOYZN/3zFWJ5wiVigXsZluLSM3W2yvm2ctCW/XwiL4kVq8XmOzHDV7z4QCVz0OW/dc2rRP5U6xzXY07EHKb0e/3c1Yntb2ERXBcR+db7d81+TVrisAaL+DJER6w7Pv7pxPZybBoZ4PsFxhegn2kGWObsmqEoR9oTIayKPF2cpZk+JulljGGWyK7NxZJf3wmCNKf6/NvEwhkbOX/FpUNySpoojG6Tz6yej2ROu9ihlKM0zvrFI1T6VkmzlXLpGqE5cgD3EcS6vRohPxxJDXAq91EeVgu9raIBOx1n0oCXK+/ZLAKWEhaMq6ilxY+TNIiloqZSpWcz/v9tIlpuwxRiOzIkQdqq8fGOElFgpVJqTMt+baqn3Ycp4U4MnsfP0e7Xp/MfJZqBLGERdQPB3j7u19Hs41zwa84nzjHt2+v8Vj7UR55+7pa8gn7m6KOVLMt+vGKR8WknSZTL0kq2gDimZ+igb9NGtCJVbbbu5UbOX/K5mKVwbWNB3Mo1J5/Z1sQxN+rrnXQqKuVAbJauSaI5amlag6Ehe4P4tJckNcCp3Ed5VPJEOx1nOQNeKYmrWAnj/5d7PUtFTaVKz5KsUxmiGszAtfhnN/z3FWLZxGqCIavxiQhVPD+K1MRAriUIgPsIhQ1mDOZ9Xg5SSCL7iEAO6v33YR9LLWZsO/2cK0RtspwT5bllgBcIXkTGz3+b3jKlQ5Je9nk3KzlxyWdC8y62utp0TifmudgpUo562Odnwq8559tv5PwlDWnx2sZ1hIOle5H8vVkuOPlcboUDUerZU0pEkS8EmqOGH5Q4byqpAU7lPstezU8Xy07GWWzAJZvBeZJiJQyRl7vH+vxZqaipVOnZKma49mOKcD9mKBWpiSAkOHbGz7mCKW6NbRGDimeJXsxzGEmpxY/dQzTY6PZjXSdg8oOYQWzz7WQImoiuX8u+zT3/7KaPWbWqMiRiih8h+lMv+nmriWi/2T+Xga5heC0HXlqGOUzhohbJqFBsXjk2LX6umcS4Wgim8zKRu2/z672LQex61jZy/pLPRTWxtrEWt5j16y9+bnXMXjbOBUu2woEofvZq/Hg6j6L9ZWLVKREIU+NbLKkBTiWVXakB3g6cl9w3qYRXMcXdRixEn8yflYuaikvPGjDG71GCaNXsPx2YIYDoVqXFA0Qmw7cVnHySKG3K+3GvYezjRqJxhvK8zb7dPAbb7sOM4TUf9wrRYKSFYGd/6L8PEfnD45gyn/Jzjfj4NM/H/Hezz08ncJlYAtHmLcsMg9TTv9ZFK2SQY2TpwxyeNp9fGZMan6cagqm+SpRVKVpVC81FLKoX/Nrh1zvnc5N8Fso5f8nnYonoj51sorIRpFtsWMsx8rfCgSh+9pqI3L7eowXsHj0I3sejLakBTuUHXLZjMMsdZyd1wEklvFnzi42ipiTkfBgzROobrZpWkcNEfBKLV8o6R8CrI1gUmsGUrepuWyhsYDFPwOZtPv7bRAmPomUwIzlOQN1HCQUO8Em/vhxmtMTw1b2ZxoyhjDO+/XGiGUgjZpQ/Ikhbdq0XWGIA6CdkkI9xgReJaK6ZWEbwCkamUkmTctvK5yp6zxCEr3EKWeuKALfq3CWfCzGxN3MU9UzrOWzE4P1ypUZb4UAUP3s1RJvRu4nPJgm4Pc39lpPUAKfyAy67UaucNOIZtlcHnJRKctKbQeat2PWo25Sub9aPKUN7lWhwoUUYMpjSxP9WhKTFHpQHbfVtqjEje9D/F6R9BINNbxEMa3W8WiRg61rCEGuuBIVLueP7zBNMZ+V/W4i66Xk/7oxf06iPudq/myTPMmeBPtro5SDDPEuWJ4moX4a7y+fmaZ8DGZtmP6/Gccq/W/Xt1YFMrPXievztIi6Vpkn0TOs5hHDAShnDSp63cmMWeqGIV2VzULnTsRsI1KMpqQFO5SHLg3z5Gog2g3NYdLeV/Fe5MesY260DLiWVKNuN5q6WICJNY8ZQ0dAoZqDGfXxXfb8uzPmYJYyrcsBHfL+MH2MGM2r7sXlrJ0g4qs39tn+fIxwbGdx9xJKCbcDHfCz7/XxTGFStMiVdYzUWVU9ixKYaCglmNT5+MaZ1Hc1Ej+erwBxZ6smulWSN+ZgVtY0QhruJKM26jN3XFd++y7/Xc9Do853DnrMDRfdmK4hLqftLic9K7afysg98vGLll0N2NnreNhrzTgmIu4VAPZqSGuBU7rNsZiTu98un87dgrR21bKOMzF1K579g/eo1+qybiOREbllk+3XA270uzV3xKj8qNZnF5lLkm2TkpvGrK5Ui5lof6yQ2Z2rocZsw0N1+Pog+v1BYU7yMRcRi4oLNxwI2h8qhyjDqeuYwQywG8TLR4vIyFm2O+ni+7/t1YHOczJvvwyIxOV2Ck+ex5+BDwuioYccdoiZZtbv7/ByKvo/49e7z7RYS++0j6pvVSEO5YT3XlSIupd6NZv+uio3fl2ROt8PnRd3yyr1XG72nm415s+h5o+PvBgL16Mpja4DPnDnDyy+/zNDQEJ2d1rf15Zdf5sqVK9s61sWLFxkbswbsnZ2dvPTSS+Tz+XXbfvnLX6azs5OvfOUrvPPOOwA899xzXLx4kbfffptXX311B1e112Sz6HUzA3u/X77k+T+GGYQegpU5hBmZScovYVes/DJEC79louZXBnA7dcDbEc3dRqv81BP9odsJNu60/75JrNmbvEdq4rEEaz2PVXNb69c3R0TDIonlsTlpx+Z4iWAyrxDNMg4QNcjqFT3v/0/5tU35WKaJBRpOEcZHRLJJ1jeVkPPR6z8iSx308V71z1Xy9J7/P+bzMuPXAJE/1/0/Tiz9KBLZPQJ6lqM1Sen1uCtBXGqxnHMP0XxD/bshlv4r975sta59s/c0OeZxnwOtz6xne6P3daPjbweBenzksbzKL3zhC1y8eJHTp0+vGckzZ87wzW9+kzNnzvCtb32r4mN9+ctf5vnnn193rCtXrnD69Ol1Br2zs5Pz589z/vz5gs/ffPPNx9D4bha9VlK0fz9fvqSROk6U41zHjEELptiKPfhazEBo3EkGbMY/a8AMuFi3Ku0RIWcJg0i32o+7Ukhec6f2kr2YotYqPoKaVbMqwyrIV8Zun19DN9FJSedUi8dDBLlmDIsMVWKlNXoFed/DDEXOv1Nd8YqPYwwjWSk/rbzzMFFClSMWSPgQY19fIxYQqCJKcpLPXLERGMUMWC/2bM0RCzcs+1jUR/o9AkJvJXL5rcSShTq3Wj2uYPd8lkIkRWS8Rh93kgeQjE5LsYQbMEfjaSKaX/TjycFZZOP3ZcnH3EM4L3cp7wRu9p5qzDUYulND1GJ3sTlitdHxN5uPx1seOwN84sQJfuM3foNz584VRKhvvfUWly5d4o033uDJJ5+s6Fif/exnuXjxYsljDQ0N8cYbb/Dcc8+t2+/NN9/k5MmTALz77ru8/vrrfP3rX9/hle01KfVSTRCGYImNl0eDwpdvo4492xUZqWbMMKhc5hNYjk9ryBYbPClMefxPEb2XWzBF3oqxjBX9JTs6qflChq2vqFQpJK986DE/byPBktXiA7qeLiICXcTu2SxGetLnDcRau81EDlN5XkW2Mkgj/r96CKv+VuSpRcyoThCRZgPmCC0QKyGpQ1Q7QaLKYfOq634fez4gyE5dmNMw6mMTA7c4ChZU3og5DiJSPYWRw5Ywh2wKu9c9vr+MaxuFtdlyRO5iz/o4sXoTfj01lGcfbxSd1mLw+GEsWs8kxn3Tt5ny429krGoJ8ty8/85Q/lnczBHWmOcJNECtRUXI2ywCLnd81a8/yG55e0ceOwN87tw5AC5durTuu9dff53z58/zzDPPVBQFf/GLXyx7rEuXLvHyyy+XPNb58+dLwtOPj8hQZAgv/wCmEAUlCrZV+UcphbHVjj1bFRn4akxpLWLKvA3LIcpQtFBo8FQ+1ErUlyoXWk8wbpt97M2YwRBcCuWbHmwkW4HkZzFjoTHXYDD7e5jRSRJ+9L0iYK16VIUZV42z1Y973bfp8HN8jKh3vU40lbiH5WW7/Vyql13G7rvaMt4jFk+Qg9Dqn4vkpLKkZey+jCSuQWU8UuRyfNRNK+N/Cz5Wa8aDBAt8kegZnSGcpDYfv+B11Ssv+1ypReY4EfV1AB8nosIxwrBkMEevBXtGpilkHy9RPmfaQRC3NIZRgsEtclcyB1zKWG01tbNZFJoc87yPpziy30g2c7QrySE/nvLYGeDPfe5zACUNYC6XW9umEgN8+vTpsse6fPkyAM8///yWIO1HX5JKPenlL2OKT6xTRcQbebd6sXuprGNPpePTy6xxyJAvETWpt31cUrRJRSX2bHKRgEYsn3qUWEdXUdw8sfD7TuD0rUDyjbDWVlHXuEw4D4rkD2GQ5ilsXhewyE/GrgUzbnKWRKSqJeBl5bgXMTj4CsEWzhD3UQpU91HPgGBtzauO1+y/b/v1iHRVjSlqrYokp66eME5P+f66H4pO64nc5BixIHwLwcKe9vMpPzyO3U+NrQUz8HUEie6yH1952VrCuZRz0E2gCbcxB0BRaDKfuhEpUeQ4RdgNmKMyhkXBxbnujVjQlT6LpaLyVd8+yeIexe5JJ/ZcVAoXV+JoP/6Eq1Ly2Bng06dPMz5e+mYODQ0B8Oyzz1Z0rPHxcTo6Omhvby8b0X7mM58p+fmZM2d44YUXAIOk33rrrYrOufdF3nVxjWG1/6182AGCZKPoopTCWKKwocN2jJeUmvK2gnDVqu8epZdeqyIUf/K8DaxfJGDazyGWbqt/tkL0vU22VVwiVjQqHudGc7FRJJLcP0PM7wJRczuLOQpgkeIJokHFAaI5/l2Chazr3kf0Gb5H5E1rsfurucz5dc8Q3a2EMKjOeJZgSwsO/zhm3E4Siy3c9Xl7z7dpJJqQKMKSQVwlOlGp3OhpIgoW1LtKQMdido8R+XrlHiFy/LpOzektgvQ0S6Abur4ZwkmpxYzlfsJBEIw/RaHx3SjFoNzthB/rlv89htUlKy2zmbHaal61OCqH9SREOTYiH8oBlLO32Xh26mhXyo14tOSxMsDt7e2bbwRrrOjN5J133uGFF16gs7NznQFWdJzJZNbt99prr/H666/z67/+62v/v/LKK5w5c6ZiaPrIkSMbft/T07Ph9/dP5F0vU1hjuIop5zbWL4+22wqjeDxSaod8/zaiX+8opryyrH+B9X/xecUynSQWCagjjEwrphRVglJHMGLniDxjK9EycSPlC+FACNYWjJ/MDyb3FwJxiCDajBKRywnMKPdhhk9drCYJp0glNtWEUVtOXN9Y4rtVv74qn9vbPu4mv3YIJ0REr0biHi5gufeDPv5hwsDqXkAYoj6ibvcuZozqfOz1vs0pYsEHdcySER/x7z7wedhPYdS9D3NQkmiMnsPFxNilIqt8vGo2IkSgFTMsM4QTk/Pf08SiGB1s3iVNkeIH/n+jn+MqlUW+kq2yoHX9ek8FhZeCsCGMoaDkSlJFO3G0t8KNeLTksTLAuy0XL15kaGiIc+fOrWMwP//88yX3ef3117l06VKBoX3xxRcZGxvjjTfe4Cd/8icrOvf169e3P/D7KkljmawxlOFZYutkiu0oDEky39VDNMMQPDrtv++y3hEod945AmJWWZG8/kmC2duSOJd6NrdiSkbRpAhR5fJyKiGSchErd5pCSLe2aP99mDFYwIxdDeEMHfTxH8KiTdX+inA16mO+BvwQUT6TI1ZU0jwI3ajHjMw1zEFQBJojlOmK34MMwYxW/rnJx9fuY1Prwpz/3PLPMgSXYMWvXUZzlIgQRZKq9+Pq2btGRLJNfq4FIp0g47FCkLcEhxZDpXUE+7kxMXbBwsplz/q4NdaVxPirMWKVSHmKLD9gfQ41GYmKyKh3oBIDlIwSlY5IkvEqNVYNBMdDz7CQoSVieclG1tdVbyTbdbS3mtN+dKR6800eHdlt4tOVK1c4d+4cX/ziF/nsZz9Le3s7zzzzDF/96ld55ZVXAGM5J+XrX/96yXF89atf5YUXXuCZZ57Z1TE+eJnEXpoxAh5bJMgUUwRbs1IPVYqn0n1rMeV1gCj3qPKx6Pua0rtWdF5BmbrGO/75VaK2dxorQ1KkuIoZqEmM6KWcp5RrcV5ORJqMj/8JzJAcxRRnMxHNtWAGIQmXq7SoBXuNJ/33ceAZzPBKYR0kyFdibCsayWHGRJH4NOFQCYaV0YU+MjzPMn1rY2vFSFodhEOynyAiCZZv8WMqZzpHLJTwPmHwFVk9jUWWXcSKO0tANX2M8TwT9K0Zvpzvu4jW/Q10QnljGZRkvbEcrQaimYjmQXl+5a1l7Gd8HDNE0439hJGQ8Z9NHKPd70erj68d+JT/X+Nzc4BY/nGccBiXKDRAbUSaRREpRJTYQqApIo9tpaIgSUTTwhLtsLaKVIZAwFr8nMqfbybldMdmjna5d6eS+DGpK+QU7h3ZW6O5zyK4WA01KpGvf/3rXLp0iRdffJFXXnmFy5cv89JLL/HTP/3TALz99tsF25fLF4sA9txzz1VE2jp69OiG3/f09Kw7d3nZzfxJcb6o+Hjb9UgryW1BIRylfGGyFaDKLqr9eIrStnreUjkxRRZLBHsWIiJrSuyjaFrzUs77r8cUqqDnNgw+HvPvlKPU+QUxqz5UDTCOESSie5ghVWQ7QkReiqzuJMYnNviyf34XczZ6/P9u2llmgN+hn/fXZmiQQ1yggTz1mDJWCkDlKTPE4gUNRF1ro49vEYsE7/kRT/r3gmqFTFic0M4KA1ymf20Bhj9gkKe5wM+Spx1LFyz49U75XB2kjyp6GWGYGrLsJ0h1+wm29V2CECTnRCVmJ/1ey6iqXCpPLNrQQSxJqHeihkJG9EcEBC+y1QnMkWulsHKAxHEqIVXJSHcT/boFfd+i8nc+SUQTq12lQvf82DWYURZzXcjCZrKZ7thov+1Eznsfun7sDPDly5c5depUye+U+y2OWjeTfD7Pa6+9xmuvvbb2mchXyWN9+ctf5uLFi5w8ebJsx61SOeNScuPGjS2Nsbzcj4ewUmN5PySpaDowIyNlP4MZDtWjTmHGdztjLZcTUyQiY6iuSVLaIjndo9C7n8WUbxWh3JNKRJGRmMPNvs0k8CNEC82bRKcrsc7V1vEmQXzqISIf5aTHgT8jol6xqFXTu0iUFqn9YxUwwwCX6KcwLdLPLQao4iw/TtTYCnKuIpwKwaEy9Bq/2M/tRHexar8mMY0nULOUAb65bhnBft5jgN/iLD9LrCc8BXyfdg4xwL+lfy1fDYM8xQXOk6fV509Qc43vJwduEXMSOnys0/69UIvDiWtZ8KOP+zxo/WKVRQl9+GEC1TDnwJyMo8QqSvgYVEqlfPFmBqjWj9vhYz1OdDxTHXYl73ySiCYi3aL/P445LUIJ5ARuJcLeju7Ybopq70PXjxUEDVGzW4qQpeYYr7/+ekXHOnHiBGNjY3z2s59d993zzz/PV77ylQJDe/LkybIMbBneUjXF91cqga8eJVE0IOWu61B3okXM47+HKXg1W0juv1VIKhmBiL3ZjSnOU/53D0HukZGQwhNrWTWUaqSgKKbGr2WYMFjT/vknibaLNX4ufX8Tg29vE1HkHSwfN+rXfhX4feDfAX/qn1/x7277Tx6Lzr6PkdXUvcsMUR/j64yvpJ8R+rjm/zURxuw2Fq0N+XV9gN0bzUGVz18tBr8/BTxHlBVN+zhyQC191JRcw9fG8B593PJ9bqByqgG+U2B8bdsPGOB/JlZnasOivU7gMxhhS7DxMnY/bmMK+zaFLSaVy9YzqNy8+kLrPos0llS3wwTM2+Zz1UygOsl3FTaHbpcS5/y4j+mgX9tRKn/nk0S0OqLGWbnkqz53N7Bn7SMCXdnsfdouHLzVFFXyfNuFrh+MPHYGWLnZF198cd13L7zwAuPj4+sg4BMnTpQ0ss8++ywdHR1rhlvyhS98AbDe0kl58803OX/+fMno98UXX+Sb3/zmQ6gZ3vsP4dZECqKagIBvEh2CloiOPcV54OI8mXJYm82FzlmDGdwuIkKdopCYM0n0mpaCkBMkCFZsYuU3qzGl9GlMWcr4iMjTBmvQ6SJRE3sEgzirMEP3fUwxdfoxhjGj+z5mAN8lYNp2oqORyDqaLynKDNBH7xrLubT00kSsLiWFLSX9HvA9H48WihgjmPOf8WuWMT6QGMcd1Pykd5OWnr2MELngEfqYXWd8Jf1coW+t9eUkFi1+AoOaP+ljOkbAuSJtZbD7fxCDjnsJYpU6buWx6LWKqH/+HhGB1RHla4ps8euWOl7xeWrH7m+GKGma9OMu+z5PYQb3EHbP9NzcJBbnkA6oZXMjuFmedg5z8K5h97uGWH95o/dpu++eRJFzMjdeyT7bga4fnDyqWrisXLlyhVdeeYVXXnmFr371qwX9m8+fP1+yBvjNN9/k1KlTnDt3rqBl5KVLl7h8+TK//du/vfbZSy+9tK7PtOTVV1/l937v9xgbGyswtF/96lcB1vWHfjCy9x9Ck0rz1IKj5AEvEtEKFDYCKYabtgtJTRLN+JeI1W66iDzsHKYoi6FlXVsygu7yHxF5jhN9jesxY/AdomHBio9T+e5qYvGHWj9mXeJ6VjBlvYBFuyIbPUG0l6zFjDoUlsQo0m7FlHsTw2vr8ZaW4TWFXePnnvYxfUSw0UVIUmlRJjFfaqKhulBFgy2+7X6G+Tjwv24whi76uEYv32WY2goM9ihZMsRiEzXY/LRjz5ai8Em/FtXEnsSMXTXRWUsGSh3I6rBmL7VE/+l7RNevaj+e0Jk7xOIVgvCf8uOJ2FZD4bKRaiQi5EXEQaEjtZjRbiLy7bB5OqqSPK2MoQx4Je/Tw4CDd1Jd8WDksTPAAL/0S7/E22+/zRtvvLFGfgLK5ma/9rWvce7cuXW54Xw+z/nz59eOk8lkGBoaKml8JT/5kz/Jl770pbU2lplMhnfffbfi2uPdl73/EFaep5aRrkKLq0dzDbWJTDYCKY70KyGzlBJF1SLgKKemv/NEgwo1+SiGB1cJoy027RzwJLFKk5jN17GIcMLn4AhmnPDj9vi5uxOf3aawDljL8fVgxriFKHFSNCdY9LLPhYzuKmaMaoHjZKlnkE/Qz3fXzcwgrWSZwJToAnHvVGtcixmABgpzrtN+/ga/fkXIXUSt7QpieWdpZZCn6OeDdWP4lzzFb/K/FHz3r9ccptIyXEAiOkIYsXmMgS3SVBuRC172eWv3zw9ic66abRH+lFaYIhaYaCW6xQnZuJ3YBuJdzRBQtNIXTX7ejwjYXukPpSZu+RxeJUqrIAh3UJkR3AohstL3abvv3k5ku6SvBye6C6k8YnLkyJG1WuGjR49uQtraTRb0/RCVsBQrhilCEZQy0qtEvrXFf7dtcIzi8wg+U6vAjeZFBkr7nsSUtvKnt4lmDsXHacFKg5p9f62JexczeO2YMr/u309g8O01gmQFwfaeT8xDnlgpRxDwLBYdNREwYrLRxgimvFUfnMMU/mFi2cIuv75uYJp2Whjgn9LP99auapAWLjBLfq1Up1iZysB2YASkQ5jDoeYdswRxSUYqTzT+P+Rz1QvM0c44A/wq/byXGMMT1FLDX+EyxXKHarpLwOeDNHGWHwP+CnZfD/kc7CfqvAVz3sGg/Fr/+wRRB1tHkMneJxjRq0TpVsa3b8EMYzvxXJZiJ9f6OY4RKYqMz8cNwil7GntWPu7HmvXPb2Koh1IjquWe9PugUigZwQliScetSiXv7Xa23XuyNX1buTyWEXAqxfIwWcuVSCXecTkIS9c2jiksiJrOZgoVSxINUA2rIllBwBuRO5owI6Vl6e5i0cs9ynf8qiVqe0UMPIgp7U6ie1Q1ZoxVf2vQa+SeqzElO+JjFSu71a9LuUEZ816/juN+rmrMUVAqQiSvFQKebiTKZI76dRpMnWeKs/wifXyLXt5nmBtkWcDygclrbadwQQ7lMfcRpVRCCD7AHBmRl8aJGtaMHzODGnrkaecsP5cYgzF/3+NflJh36GaFf80hfoJba58N0sYFjmKR6Ps+17UE+qBaYpVs1fuczGCRci3RpnSMQuMlxrbQCgjS1qrfixxR8yzHOGmEFbU1E7XLKz6OdqL95ypRK76K3Sc5ZjlKG9TtpKM2ct63gq49Ckjcg5fUAKeyB6QSxbCZkV7CFOYxooZxivXLsC0TUcAS0aWpkfI5KTMAAd+qzGbUv98ISpNBUZMF7aNz3sOM+iixMEITFu3MENDtDQoj2gzRj1isUNVvHic6Sk37ZyuYAfkz/0wM8gVinWSVV6lz1HGC8GUs2ywHyLLi2w8R96uOuCctRC5c5Ui6f/d8u1qiFWQbwR6v9usTzK48Yy2GENSQpZMsJ4A7PL/G/i4tv8p/wudp8dxwO1luE3C3YP8hYonCJqJZieBzMZGbCdTlI4IZPOr3YpXoYibyk0qwrhCrLmV8flRGJ7KUom45U1NEMxKRo64T6yer/lqlR2IuH/bx6ngyohu1Oi0lm6WGtgLx7n04+GFIaoBT2QNSiXe8mZFuwMhLYu+K3aomB5OEMlEzDdVYbpaTUt4ZP+8q0etZLNFSuWrl73TOMYL0s4gp7Q6C5FXl+9xGnaeC3JPBFKqaTDRgMKTqd8VIPUxEcGo2ofMLeh71613Gort2YuGJFd+ny6/xkF/bQSxaPAxrcG+7/z9HIAg614xvI+KZarMVxd0h2nmKrKR2jZo79VPGx6D6WqEg8wyvfV9ahukjSzvZtaYkk37uWSx6HyeYxlf8uhXdqsZcjTfEzhbJ7RoREU8RkLMMcd6/H8fu75Rfx7Rfg86lTmZXiRrs69j91Rha/LidmPFfIhq4LBAQvox2s283SjyDdQQPQDn6UhC45r9cWifppBaja7WE01RsZPc6EvfgJTXAqVQgyZcyKXrBYGuebTGsNUtEpiT+70gcbyMjLVJKBxbl1RPUhg5MKRVD2Ir+GgmDvkooneR1KHpbxiJIQcXzhAFW1yHVkAoOFIx4gGCp5omOQjJcVVj+ropQrn9MNNSYxwygrllzMevHeZLoRVxLrHKkYy8TfZF7/Rj7CeZuEtJUPXW1b79E1Ksq59zgY99HLCEolu8CsRpQjsgFizwngz7p2+YJclPejzFERPCtBLlJxLEZIEOWWgbppn9tBaiQQT5DlicxB+ugX6Py6XUEI3wEQxhWiNWd5OBpu31EGd8dgpA34/dN8P8qsURlDRHd6plt899HCVa18uGrfvz3/LuJxH1oIJZRbCAWGTlIsNzvYM6E6pNVHjTH+tRNqZRJccTbRjipI2xOnNosYk6lWFIDnMomknyplDeFKM8Q21T1xZu9dMUvaQ2hRAQbHyB6KS8S7fkUIarsRwYyafhkfPf79jcoNKKCsMVUVd2uWMqTRFvA4nKnVWJxBpG3RIDJEAZ3H1Hru49Y2L2WwnVmW7Bo94d8DGLmyrg+gRldGU+xhWVou/w6M0T/6Do/p2BcrQB0279bwaLga36+FvrI08s9hhkjy5HEWJcJCFmIQcaPm01cl4wCfk3qSlZNRPhiQndgBqvB51MNVBR9VmOGpJ3IY75POEa1hKN0D1jlAk8zwAL9iZajg5zmAj9HRN/jiTFlfBxVxIINK/79Lczwf+TzJIRBhlgR7G0sSpUjuOzXIXi92b9X1CvnQcaymWgfOuVzqUhazmktARfrOW8knKzjfk/u+pif8KsfIZp61Pl8VsI+LuektvhcVFPodG+2/26UGm2Ug370JTXAqWwiyZeqnViCrBkzJqq/VV50s5cueTyRfaTE85hSkQKepHR7vlUKX8RaosE+BCElRxjq1sS+PRQuaC8lPUnAetXEIvdJo5iMvmWcOxLXlCHyuxPEWrwNBAlqjHAU6ihU0N/FoqJFolnDfsKBwI+lelH97CecoVpiLdklwnFqxCKkq0AN7SwywOv089Ha3RnkGBf4T8jThEH6igbVJCJP1KDOEvWtInAt+jbqMKU8pBp+jBBRc7PvL4OdIwyZno+PEeVls37vIJpjzJJnhrM00sdJejnFMJ8iSx+xAMQE0Rp0DoPNRRhT5D7h45n18XcTJUOC6Tsxo6qmI3oGJzHDpsYd075PM+bofJC4xx0+NyuEQV5hPZ9AnIY57B2p8bGt+PjFFWj284qkV01hY5V9fj4ZMT275ZzjYid1H5EiEBlMZLriY2zG09iqPP4RdWqAU9lEki9VjmB4jhCKF+zlqOSlSx5vliCSiHxTjxmTKT+eymUEQ65iyrKXwm5TOSK/CtG79iqhJOuJpeZWiGh2v+/Tgin4EWJReDkApaJv/BiHiCUK7/jYGgmFrFygiDSqW1YeVE0eqokFEPIEZNpOQMxzxML0gu0FjwsGF9R5Aytpyfm13SUi1QYG+L0C4wvQz0cMMMhZ/g7BEBbErLTANGFUT/p3ei5EVFONdJLodICAzK/6/Cz4Z9cwxSrnpcl/pohFAQTpKsddRxj0cbLg5KwqovxmhajP/g5REiRjKKOiMam2V8zlDNFCs9nPKzJbUjSvHZjTVe3j0N9qVFJH9M1WflhR/TzRUrSWKLG7mZjf/X4srY616nMrx0S9yFewZ/g6wfSvYX2P8qQU8yxkqIVuqaRL0XGxg70dlvVGcj8i6r0lqQFOZRNJvlQZoqA/QzRsh+h7u9lLp3yjmlI0E1FmkqC0RLTnEznoLqZouiksddE5hwgSzBymUNURaQlTxIeIJgoTxMLrUu7N2FJxkwQUW5UYRz3x8ss7lzFo8eMsYkaqijDqVZjivoEZjTmCmTpErCssQ1qNwbJHiNV48OO1YwpVDoh6DyuCF1NbjSEEtarGuJY+JtYZX4m1arxOdg2NyBC1u2I3tyTOKydKkLycGkG/rZgjNe/bN2BR3IQfL5f4GcGg1Kv0MUMvdxnmMFkO+73JEKx0kcJGgGfRwhFmdHLEIgg5wjkUMU1wfRXh7Iiprns9R6EztejnGwf+IparnSLy3Pg2t7Go9SDBUm/3bTIEmnCDQqRHqRC9E5OY8T3mczdMIAsNGGFLCMF1v0ahMT0EVD/k55PRLRdBluJZqGa4iXj/DhApge2WJW0kgp2Vz66hshz0oyePz5Wkcp+kmPBTnAMW2SmZA97opVOTCJF7xoloU7CxcrfKfdX7vlKgYiBDIalkmsKFzIvZnRn/W4SgRoIUI3Yo/vcdYmm2k5hir8GU1xNYJCHvXGSqKcIROE7k4aqJXKzy3EuJYwha66awN3MbpvgmsUi2hSgpWsAUfb2PTfD7FNFnuc3H1owZK0XQnfSuOU6l5WnueqtGIQ6HfKwZH/sIUUPcSpQ2KWefJ5ZoXCaaayhqO0TkeEdJrlplDTdu0s+/XxvPIE9wgb9Nfi3lsYQ9N0Imsn6+asIhk3FvJKI3zZEMcDWRDmghHMTrBFNcyIdqt48QvZ8Fw+eIyFTR6nWClV9LIB9y/Gax51zO0qxfjxAZPQcf+TGlruuIlqY3iLWQBRefIMhm+3y7m6zvUV4sS6wvFVLOuhEzvu3EUo8iEMqgl9p/qznbYs6JHFvYGD5/NCU1wI+9VEpiECSX8f9zRP5OL1Uxc3I7LOhGIlKrJaDSOcKQXic8XTkAMvBQuuVkuUYYEsFZrQSsK/YpmEK5SpCoZPj2ERFRJ6YM7vhvEWRUAtSYGPMkse5sstREhugu6xXdMrEowUGiDraVKOtpSeyjuVSUL6ekjihH0dwJJs8DU97Eorz8l7zF/5cnCCLZMrHAvaL7JSxK/yQBrb5HOFc1Pu7D/ve0z4UcoI/7MVUDazLAPfqLnp9+rjLAa5zll4ilC5UO0D27gd2TeYL5207k+GUkZn2M0wRbWMZbaMYMESErclfbx2piMYv92H2WUzRMGHK9M7eJPK2cPj1b05gBbyQWKlBEfpkgdC35eG5jz8ZNgmktolsLgfDU+LFEpJr3fYqd0lLvbXFZURf2bh4g2prmfX43K0sqls30URJ2Vpma0hCqONhqRL13JTXAj7VUSmKoxV7cg0ROVyUIt6isfq/SnIxywLWYoT1MRCw3KL3SSfKlVcTdxtYX51bkcItYOlC5aBnTcWIhg1Wi324fAXurDER50R5CUagE56jv24Ip+XFi5ZwMZrQ1Z7VYadNxgt0rJbpENOHY52NVVC3CmGo6FR22+88+31alRqp/nSPLcf41XfzEGvmnUH6Cj+hjmCzdPj6RleTozPqYniRqlxeIrmQjhAFowozEJ4ge1oqg5vy65zBofI7+Ms9SP9+nj/c9z9vj591PLEEpJGCJaEaBH1sRqxADPS9LRFcwQeqrPqYloh5Y817n17fsn+v6mjFnREQn5cWbsIj5NlGzK1Rizsej53jCr6fdx6jPFwh2tVCYaiL9AeZsNRDPYhMWOTcRTkfSeFWqG5IOeIuPJ8/2IOFKzpnkiIz4Z0oHTJGyoFN5hKRSEkMrZhS6KIyA5zHltJuEhyVi3dKT/pmUuiKUUvtoDEnIeit5pqXEtiJRCbqbJHJuUgrTRJ1sE5E3VM55wf++Q0TJRwklqvIgEaZEYmkgIMklQimJRXsQy+tNEZHQArGeriI7jUmRsaL7fUSUorIWRW8QRJ9x/gmHyhpggF5myK5F8ZqXK0Rzf8Gqcz6e25jSvE4Y6xwBX4uF3Y6hDW0EeegW0ETvmgEvN6abZPkhnxfluAW3qzZ7nnAQBF/WEkhEhohahwgIegxrfqH5VC7+A4J5XIUZDDlwk37dcs5yRAmdkIMZortYFcF1mEzMYRtRujaT+Gn1MSRh86RTJeOvaLSGyEHv8zmRY5s0dFshOCXfvxbfZzskq0rOmeSciAg2xqPSM3qrkhrgx1qS3uRGDOVaCr17wb2NJbbdqQianSZqFNuIJek2k0rzTMVQlxjXIogITs0ThlDwrpioSWXVSRiiZkxZ3iby0qprbcOiZTVvUCTbSChI5dJFUFIJj+qZp4mWge8R7OhxYrGEJkLJt2HGOBkd4/PS5GO+hhmH62vX+N4my4EPcwCLopSXltGZJbp41RKOwjRhCOt8W5GBMkTv6nrM+ZKjcASDsecYZgpKrHgUY1rBDEqOcBansfupnPo+4llXXrSeQAnmCXKP7qO4BiP+XS1moA9h0eUIdv+uEcjCfqKXt9jFSg3k/XgqaZsnnDw5mmKsi4A1QcDT4xQuNiLnTfd0lTDmswTpTY7SbcypuY5Bz++zHvXaasnQTklWlZxzt4hcj4akBvixlmJvspzHmoSoxATN+We7DfcIChV5RkzZrZyrkjxTKagrRzgVScOt7WU4Ggi2aTVBpkmSvxSxKBLuwKLMFiJqHiNg6gWsxneC6OGssXYQSlqw7ahvJyZvs2834ceu9fMtY4ZILPQ8kfPrwAyD2LV5opf0NbLUMEg7/eTXzeAgx8iuGbBRP7/Y6MnrO0yU6Ijpe4rC9ZnbCQek3T9XBLofexb6gDxZmhgkSz9/WmJMRxPEsGqiyYrKlKp9HHJKhJIcIBw31fkKKVAeOefbiOzWTCxyr7rrWsyYKSUwSXTlWibq08VEXiaWehSJbykxzmWC9JUkqk0T74Ii5wnCCawn1gpuIlpM1vn5NS91vt9d1hvfFiqvD5bslGRViT5awu5FD4FMFI//8ZHUAD/WUqk3OYk99IJeIeC9++F5jhOkHNViNrO9JdFKSTmoq5HNm4Noe9W+qpZV/09g8yQSzSrRo3eUKJFawaIQlbkoSlPpVjIHKfJPBxa1iGzW4cedIwhAyk3KACrCqvNjK9eofPSEjz2LGY8ZwkDVcYEjDHCVfq6tzcYgT3GB/5hYmk+OiPZt9zE9RbSonPHzzmDw52X//ijBCN9POEWrFK5E1YCITRf4hwzwG0Us6BNc4FMYdF1F1ECr5EsQ8D6i0cYckWeewp5nRfEycitEnvewH6MKQySeIPogTxHdyj7AHBvVect5UrRazrhNEjXuBwk4d5rorFVHNLVRiZcY8erkVetjPkiw0PWeiqk+TbQulYOpdEOX/660PjgplfBBykkl+qiWYNrPE6VbOUo7z4+2pAb4sZZKPdYl7GWdpzQL+n6MK0cstSamaYbd6XKThLrGMQOgetBycHUxNCaW7DDBuD3g31djCksR1CRmpNt8H+WUazAIWUxflekklY5qQEXSaiD6KPf6uAQvqx552Y8lQyZoe5Iw/DrHNaI0R40vVhCZLc8TnOXT9FFDLysM00G2QElKaTb7PjkilypCUyvwfcxgNWGG4TgRhUpxKicJUSpVQ0TDy8AyeWo4y39LH9+llzsMM0+WOcyJ6CA4BLeQIxGlQQcI2D2ZNxQ5S+U64z5POpZQiINY5HvUxy32dyOBTmgeG31+BaUe8nslOLvYuI0TqREdp53I3ddh0Ws1kTdf9jn/yJ8BEdiEHGgu5wiHYpGoNxZyobI6/LhthBOz7McLJ2z3Rdct5EvIw0YsaDnDE4RTsRFh7NGT1AA/9lKpx7qEGZfdikI3k0bshVLtrZR1KRLIRlKurEG5taeIzkD1RCRQDHsVQ2OziXFUYwrqFlFPqqYTc0Tf4mrfT0pCjSaG/LfOVax0NA8i9HT5+Q4Qtb95ggQmhvMkZgCn/f8PKSQPfYg5BouJ7RuI/KfKW5rJ0kF2DeIWMWjK52KGyC9nMMWoOZVRTsLhuhcy1II8ZbRX1s4b5LQcscpTNbBIlozD4B/6/Ap1kDE5RCABB4i+1Q2Jv8f9+DeJPL0cGV3PCubsrPrcj2AOhOb6sG8z7+ccxYxqA0baErzfTqz4JPJazq9fz5yIf11+3B7/TKVEImIl88GN2HMx7nN02M897PtXU9gp7CjBM7iRmGep+6SzmfHxiN1f6v3YqZRKCQmur8QZFkqmkrqNCGOPlqQGOJUHLDKYO+lyo2MIthT8mMz1Kp82RyjleoItnHxxy0FjQgDEvFZHJI1hETM6NzGldZSoxxT7VvDzuF/jcQJ+ryOWDxSTuoswFIuYgckQDRAEkSrvmvPtPiQWE1A0KfiynqipVPnSXWLRgQVi2TqlAlQOc8fPq/u1P3FtN4nysX3+dyfRTlTRi6B6iO5iGYIRLydG5K48scCE+AljRPSuPLsIbWLvNyWOV0fAzNXAc0Stt1jKP0TUM4ucVYsZtUn/ERlRBr3F76HQgRYKG458DHu+RohWmCqBgiBRVRMkLBEQjxLOzgnffhEz9iJuLRAoyAqGCmSI7nIqg1Ozjx5i0YilxDFXCWSo3T9r8G0rMWzlHN9SslXGdbEzLJQMdqfH9N6RR/8KUnmEJOkJb7fLTfIYXQQZJU+ULDQS0Ps8prCuEeSY4sc+CdUrQlQ0Ppn4vpcgSs0SLNVFgiiiloli064QucKTBHFGTT0gummNEJG02MyLfm3atppQXrd8XIpWv4dBwXI0TmJG4ABmqD/p/58gDOoiscKOIuVTmMITH+AAsaqTIl1FwDki4hQMPkXk9aV8JdpOkbXIUxPEOrttmNFZ8flYJQh7y/7dD2Ows8YpBS2jJ9hcJV06RwPmVCjPKmMlQzlO9KduJRpyyKBn/DOxoUVUE7pyiGg7Oko4P71YxCqHTqQt5djvEvXIc36MMcJYdxP5/OnEnEDUoKvsaYHoez7B+hpgOZvJ1MBdYmEHpQnKSS2xhrI6euWIngGltq+UcV3KGW7G3rOt1v7vfUkNcCouW/FotytJT3i7XW6Sx8gQkYegX73YMpqqm+1g4xdX11xPYd4yyZ5uIZYdlAJTxFLjx6nx8TxB5HxbsCgjQ0DLygNWEYas148hr19z0Um06EzWk8ooqalHB2Z0J4i8YbNfg3LUP0wQdaawKHCIaEIhgygykJjLisQF0yoayxHNLFYxxSwnQ2xskYfmiPsnKFrfNfv1jhKRbANWdyyjvd+3/URiLOoGpShVec4aYv3jNj9XhkAu5EDUEP3Np4nI8RbRA1nlZVWEc/AExmpvwYxtj89Th49JxMYeP44i/FGi7/WcjzHn8zCBGfaMj+EJoo5ajpSgcDkctRgprNvvVQaLYmcIMtgowUpPOptCF5qIcrFxorlHOenAcuVyhIU8zVM6hVUqqt3oPSzmrQgqX6IQoXr0S5NSA5wKlXfF2Y3zyBPebpeb5DHuYEarhlBAyRd7I9ZlscMxSyhRRbjK42Yw5XKEaG/YiSkr5QJFvGn2Y84TxmueyOc2+bGfIFoeVvv3I77/TQK2nMBgUzXfqCaiNc3Zss/DNNa4X6VGiobvYblwRWy1RB3xrO9zHYvQWn3bJaJOt43ohKU8t7pLNfg1iEw25efrIAhAcm4OEevdNhCOib5fwByIJsIwqga3jmg60UDUvipyF7Q7RZTSyfDK6E4Qz8s0YdxlvO9hhnfO56TFj3uQyBdX+3FV+yyDou2bfS4PEX2i64l1f9WIpINozal7edk/E+KgcrP92DMhQlib/9/k16mcb7Pv30mQ3FSP3EJ00VIUfoPIHSvnDJtHwJnEfOQIglSG0ga40moMSSneSrFRTlnQqTw2spUcTTmpJIIu9oQFGSfZqptJ8hhqjKE8oyDFu4lti1/cWaJmVxGlFL3g7AYfk2BuNV3o9t9z/nuSWNNWjNn3Mdhzn2+TIxT8fkxJSdEt+fnEYhYkL0LabcyAKOLuwZRua+IaVdKyiNXS1vn4r/o1XcNgcRkHGVOxeGXoun2OVBbTRjQTmSR6FHcREK/KqhS9CooUMWoiMUf1RM5fdbyK/quIXKoQA8GpS0Q0N084JiopUxOUOQJWllOnetlVwqjX+f2axhwqOW2qApgmkA05XC0E7JonDLrIUIr6VU6mZ7uJMIgqc5oiVgFr9/tUSxhDoRotfo86ifWGJ4nlJauJ1IQajCiXPkU4jQf9OEf9XMl3eo7o5KYSxDtsbIBrCTSnCbvHm0mp93AzA1pKnzzahKtSkhrgVNheV5zi/SuJoLfqCZcSHUOR6RRm2O4R9ZgZ1tcN6uXtIkg7zRQSffZjyjsZCShHJvivhagFFnQ6T6wpKwh7isK66muYop4mylNULqNz5fy3YO0VwkFQNKnIS47Lsl/nCT9fJ5F7bfZzrhKNPCYxw6JrnqWQ3FSbGLvqjOfo4x69jDLMCbJrfZgVvet6Ov0+zCTOKVhX91vwchPBgBfhTc5NAwafHyRSFTVEna0gWDkTgtyVhlAOfJUgt8mxrCUWqs8TizE0YwZqHEMnfojgGCwTHcD0PCj61/Fk0CGehRa/toOYM3QHc6J0LwSBLyR+xPStISDXVex5/YioC1/1+9Tjnym33Z4Yo5xoMduL32m9S1ep7H3Ue75EOG4HiAYnuTL7wdbqh3eKyD2IdNruSGqAU2FrOZpSUmkEvR1PuNRYc0QOUG3/RMSS8cxQWDfYTJCNeolo5QpmpPDtRv1vkXmUO2skFmlXblNlNVWE0q3FFKHIPXIKqohcnCLjZYI8dp1YCOMQwebNE0zuGv9OTS80l3KeOjFlD+E0tBCGRzC6WLfKIy4RkbbmdAVopJ1RBvgK/WtrysIgn+YC/1fyVGHKez8RWa4QKz8pKlOUv0LUtx6ksOnEEwTreNH/19zfI1ZRmiXWPNbzM0ssw9hAsLKT7ON9RI9oGaQMhbWoT2E58m6iwYgYwnli7ehR31+EuG4fo2B9GYs5opGLWMrjGKSuXPEUUXOvaFLXNUN0TVMULDLcGPHMKR2g88wQed1lLPIWY32JQgO1nLhPm72PetZ0Tj1TOaJMajdkJ4jcVgliD1dSA5wKhZFpI9EpSS/ZVvKym0XQW/GEy0myhriKKFlRBFRcNyiCVDNhNKcI1qdIRw0EdJcjorzDWEONjxNGXaznOsJgKprRNar0RpH2Zcyzn/DzKtK4gs39KmZ4BLu2+08P0TNaJKkpIioUAUvR6D7/nSHaWio3qbxhG9G9aQkzWsqpCrJtYoD/ocD4AvTzbQb4p5zl53wfzVMD0QSkhejeJeh4mYiAGxM/ZkT7uEIvdxmm2RdcGCWeI91TwbmKEMeI506OYxvR1GSRyNEvElC17o2M/gmixOsA4eBN+LmXMMdKsLAY4zNY7vwU0VFL5UxNmGGWAVUk9wTBdBbTWs5CjuiGpqgWom+1GOjHCCewikI0ogt71o4TDPBbfj0NRMcvsb1FZpNhLmeE9Z4vY+/Dce6PgdN56nyMTxBrGm/msG+VIPZwJTXAqRBefQcRQUpxdbE59LOVCLpSeGij7WqJdXYX/e8FgohVXDd4imDBKvpLslWVP1aZh9iqiqjGCeLLArGcXRNmgATVLvtxJonaZkUwIsI0EOVQIjPNEZDzDMHaVk67m2hcoUhK8OOU7z+C3atqogGGCFIilSmPCGYYFGWLSaxIuQXopI/r9PMnJe4N9PMefdzzRhmC7T8k6o+FNoiVvEQwqNuJaHuBdmYZ4L+kn/9t7fiD/BgX+Lvk1+B+Qc4rxDq7cqZUpnPP5+Mu0aCkm4CKW4j2oIKTFwjWr2qYVeLV4dcxkbgXqr+tJ5jenf5bBKkmv16VPU0kxquSKeX/54nmLrpPd3z8Yt6L9DeD3UPlvHO+3ygBxzf78Z8i3sHbiTsnHoKuRc+82Oobwb3J97wDQwWUCtnN6FLPSqePtx67V6oM2MjYZygkiIk5vzfh6NQAp+KyRCgNMW4bqQz6qTS3W5zbWcW8VcGsejkqyQEpImwg2MRThDGc9+s4RbBCZVh1vYpW8xTm9BQZThIr3uSxSKcWU6KHCWaucsc5367bxyeDpjzkVGIsMghNRFQsUpOg133Ap4jWg6PEwgI9fs3dfl1g5UQqJVG0lCdyx/uIPOGI7ztK1N8qB9wCQG+JRRqS0ssEWU5iBk/w8gHsXj1F9IaepZBJvJ9gZM+sM74A/fwxA/wqZ7lIsHdFTJLBWiJKjUSMkjFU9CqGfA2xQtAUkR+u8mOIKKeynMPE2tH1/reeqQzxnPUSpCVBs3LchC6M+fjfwzpnzRJEr4z/fZgwFFcIspdSBvsJ436XcMrEol724+0nGsTcJQhm+PV1EYS8IT9OnlhspJpIlRRHjJu957uVexXzfJVwdOqxuc1Q+RKp1YSz1uI/96O6Y/uSGuBUErJdMlalud1kbqeOYGxKqdRTmNesJAckI6M8oCKgLv8+WTdZRTTinyQMv/K7NyiMWjO+r3KiDViUpcilDVO6bUQOd56AOcWEVm2lCGA9fn05om+vmNZ5otRllVi+sY1o3i9mr2DYKcJAZDHjd8+v/yMKWcvj/lNPkKUUAS/7eIz4NLzWF7y0DK8Rw3oJB0S5U9XPKkrvIJwlkaQW6OPyOuMr6edP6OMa2bXmKDIA14mSryniuVUdtVjOKodStD+GOR4q4REELMMLQaSaIBbauEwsnpAhUjRKQygXfI94zv4Mc0jkzF1NHEu16csEuU7QeSf2DGQJZ/QYEW3WEwx8wed6HsTE7yQixmFieUqhFXcwyP0gQSJr8XmRYZcjl3yHS73ns2zclW47xk5O8REfr4iLegc20kc53y5HlHrtI9IXW63uuL+SGuBUErITMlYyt1vOE04a+FnCIM0QzThaqcwRUHnLCKYUbxHGBULxyQOuIwhPIqQklUnxNStvKENYQzSDaCRg0Sn/LHkdIgBJOarER3A5BMKgaK3Lx97s39/x7WcxYtAq0WO43T+XchHRSnlNkZB0nimfn2tEp6NDmGJuIgySIEhzGLKcYJDn6OcdimWQT5Kliyi5afRjtvoctBBwbYZCkpqMQxW9XF937KT0coMsJK5dkZoiXx1zmUhNTBL9uxspzPF3Y8r5pp/haf//CIGo1BMOyxxmqNr8HIJ6axBD3JycJR/bONEP+i52LyYwQyjEpJ5AV3QPaonOWXImpginrxUrJdKzWk8s/rHgx+vyv29TWE4lxrSQB5U2TRDO2QKF7S9zlG8VmXzPhVQd8PMdIAhx18scoxKZ8+s+QKTGVHa2kci5VB10DXaNQ5TvhPfwZO+MJJU9IJtBTA1YRKMc1AjrawY3g49l4AULqrmAtq9lc0dAnreiRUXAxY7CDKZI7hKM0DkKm36Uu+YlApZUHrmKiJA01iaCiVtHLBt3l1gkfQ4jkihaVk2sIjMxN1WCs0IsWydYU6SfFYLFe4zIwcmA1mNKXzlulUU1YIZcOeZ6IiesiFX5VMHvy1zgZxng/0Y/31mb1UGe4QKfJ4xqK0GMaiXg3hbCqFVR+EzMAjMMrzXNKC3Da7nGmz7eJJxajz0bIsLpfuq5kjGW89Pt258kGqck4ddGAp1Rqc8BgnmdIXL/qvEVxK15XyFahF73ezOUmAeVvU1S+Ows+DUq16xrFPqhnLYiTrGWc0Q71GnEXi9cclE16Cp7WyLg92G/tlbs3t8m1rmWs1QO2UoiVfsxR0XOtbgLG9UUF0vyXBBpBOXol4myvnKyhM3/NPH817N5J7yHI6kBTiUhG0HJDViDCTFXpQjep/Al2wg+Thq7aqLBQiOFhk/bqdYXChtsVJJzLjbii5Ru+pEkoCn6kXLu9J9jRJ6tBnMYjhDsVojGDGIA1xAGSgxlMYDFchVMrRy2jLNynTIGR327CR+b8siCizuISE1EMEXHupeKkFQbXUX0pJZxECN21H8vk2cfZ/m79HGHXm4xzHGya123aggnZZ5Cdu1+wrAISZglCDWWa8/SvUGU3Ud2jdEtgpIUe0TqNkcfErD0JFFWpTkWjK18fYaor1U65AihsGXAp32exgnnoo6AvkXekwGfwoziqN/T9/36Mz62w8Q6vhN+/GXfX0Z/iSCvrRLEMz1Xeg51fpG2pom0CQTbv5uAzSWCsFVWJzZ1CxHFw8bOdBKpmiLKfxowx0b3R7IZsbL4XBBLOOpdz7G5KErXM588ZiluysOT1ACnUiRJiCkpPZiCOU4Y1mv++ZXEdhvBx0kDLwLJHSJnpJdDnn2G6Jo0T+F6wZvlnJNGXCUsSSNeLMqndvrfPZiilBKrJnJpMqjKnQriVn2u6jsF74kZXIcpSUVcM0S3qwwBWauUpZnofKX9IQyviETLiTld8LHfIVi+B4iVb6qwyLuXcDTm/DwqMdFxpPw6yfIxsjyFKehRTJmLECU4XVHZTGJuFOHqf9VWq463mgv8AgP8Jv28vXY3rNb4/4gp8h6CjCMW8JKfb8HnVMZIxkvEMIjIfpQwyv8BURN8z481TnThEjEqhz3ned+3OjF+PXsH/T5OYVFsGxb1KgLt8GM97T+HfFy3MAM96tuKxSzmvZAb7S9UY863l1OpPO44sQhIO9GFq8Ovq44oi9pHlPcsEEgURHcw2JiLkXRylQbJEe80hHO+GTJWynFfJuqh9VkppKucVMpNeXiSGuBUKpQkU/QyBskqckpKJfCxDPxdyr8cyVpflbnoRR2nvKOQHEeOWO9VUVqG9V2ylDv8uB//ILH0XHXiGNP0MUEvkwzTRXat6YHgzUaC9NNF1OjW+5x9zM99kDBuN4nSIp1POWGVEolRO0c0pBBrutXPKeLYEqbIenweRBQT6Upws6JQlfCoLnWcKEnSdcsBEDSqHKKUrEqopKDFED7oY+zyzzoJiFPXMkGeHs7y93xurzO8tg7wTZ+vk0SHLyENIhMJTl1O/K0xV1GYHxa820FEys1E7vIgUUKkfVf9s/eIBRnm/JhdBGv+HlHje93HO+XbdPgcP4U5PocJ6FwOpiJ6OQtHE+OUQ9Dg41zGjLdSNzkCEVkkGn0cTRy7nmBMC5U4RJSxjRH17xCo0EZcjCQSVUOUSamsSTl02BwZ6yLIiNcIJ7WOnXXO20xPPFxJDXAqFYpqVVcx4ytvtDjHU2lJEmz8cjRgCqKHMFalzreRJI04lO+S1YkZv1ZMeSvCbUd1o+3MMcC/oN8pQQCDnOIC/xH5NegaolxkiYhOpvxYUnIiaolpK9hT5UntxGo+1USkKmdGtcZdxEpMimpkHJTvzhBGqA5TihkKO1RVEaVPEGUeglyXCIOhKHfWx6eoUgzb676vyrRaCMM4TSyzp1IdjaudLE1k10px5ojWlB2+v6I1pUCOEzCnjOUCUVIlR0LOndIMbUT+Pk/0jF4i2kOuEB2mFjDDKc6B5k4GuQp7VocJUp2IenWEM9dKdDRb9b87Cci6jVgla4Jg3+t5xOdNkPcKhSSupFFbIpp3dBDvYS2R9lF0vOT3TXD6FFGWuJkzXYxoKY+dfO8V/WYoNLAixtUnfhoxR0UwuJztvRnB7lRSA5xKhTKCvWjXCAW4SCyTlnw5dgr71BLL9ikPK9htK95sKThccLRYzFKEItY0EiUqoPV8B/gfC4wvQD+XGWCJs/wEwVztIKKkVaI3siBA1QMvEuvZKgqoxZaW6yMMqpTmROJaxOzVvoqiln3soz5u5XwVRciByvsVTBIIhnKIcrQmidyposIlChnAciYUmSYVviIlwakZQpFCsImVw9R1irUtZq9qlDuJSE6EL5Hp6vxzQfPt/tkkAXEeprCMJUfk2YUqKEe/QvTJrgK66SNPLzcYZpIsn/BrUFlQg4+niyCMXfFziW0uaF6GXVC82LqCtSEaxTQRyMcU5gweIOrKM0STl+9SaNTwc9dQuOLTYmJfGfUabInHDyk0sJVyLTZCtPB5KWVgk9UGmkeIWmqhAo+PwS2Wx9YAnzlzhpdffpmhoSE6OzsBePnll7ly5come5Y+1sWLFxkbGwOgs7OTl156iXw+X3b73Tr33pE5LF/VQ+SpxK5cIAg2UngbGcqNyBgkvmsnCuhFWBnewphLefCCoyGMsqKeO4RSUhRSQx/v0c97Jc/QzzX6yJNdq+Hd7+e8S0SLglzFahYUKkhR/9/A4FYZg+Q1KGdag81XhiC/qLyqBVPyC5jSbPFtFFUKKhVZp4No4DDq5xN5Zsb3e9KP10LkBXME61aRvO6TRM7PAmYIxHxWKY+MjlitK5jhEmSqPPgS4fR1+zkUSYtNr+0V/cuIivXcSrQWrSUiYDlEeg7FQhcxrop27jDAf1eUn/4EF/hZ8mtrJOteyTmp9WuWURXx7xpRsrNC5HnH/JwHfcxCL24RaYlDBLN3mWBHdxEG7COiTK0Wu4cHiR7Wd4nWrDpOg28nxytpYLfqTJd67+UUlDOwS0T98gcYqqESQumSx1ceSwP8hS98gYsXL3L69Ok1I3nmzBm++c1vcubMGb71rW9VfKwvf/nLPP/88+uOdeXKFU6fPr3OqO7mufeezGEGsIuAlLqwl2ccUySqX9xIFH2qXGKVaBKhKKmO6F4lpVqFRSx3qezFLOXBK3JrI4zyHNGVqIZoOWmKp3etqUVp6eUuWToobOLRThCTpGjbiJxer+8tUlNXYr8ZYrlEjacKi4COEavvCBIU81blStNYLlL5TcHFS5iBncSM/aeJRiN5P84dIoeqCHaF6KbVSESfipS7E593EfXIigyXiBIaRe26zzJQ94gVovRO3cUMiIheigaVG9TvKv+tCF1jXsVQhjoC/p3BjIKIS4LCRXaTg2bRajE5DKCf7zLA/8hZ/j6F9ddy7FRrrDmYxe6hovQbBHo04n8/mbgWGdF2Yu3nCcKgCplYIQhgnX7cHoKIV02U63X637cxNOCQn2+YWLVrjPVGb6s51GLnWiz1cgZW266ye+0thSBk/P8cezWSfuwM8IkTJ/iN3/gNzp07VxChvvXWW1y6dIk33niDJ598sqJjffazn+XixYsljzU0NMQbb7zBc889d1/OvXdFZIouClvatREKV3m6aexFUvG8YE2V54ggpIimhlAAUtYqlZklvOlKi/tLefB3CadB5U+KnsZ8v1mi+UE3w2uKtbQMM+FzoDrKXmJVmlXCQLyN1eK2+1ia/XPl+lQStN+3qfLPewioUpFpCza3M4SBnSdKSZR71Lm1zypmDE4SeV4xfPOJa3+WaCvZlhinoqUckU9MHl8waiPRKGO56PcCgZZMEpHQFLGW7R2/bt13GexJLF95hFhnWM5BPREpJkuGNAdygsaw5ypHMKc7/dpq1sbTxzX6+XeUkn7+jD7GyNLnx/g+8VwlDfkHPo9tfk13iZacJP4WdC4W/iz2HI0QUPwCUTe+HzO4eofqfF70PCfZ7YqIq4lFOD7CDLE4Cn+KPbs7MVLK9SaZznJ4yxnYSmDuzRCz4jEcIiJ/iPK+Wzu8vt2X6s03ebTk3LlzAFy6dGndd6+//jqnTp3imWeeqehYX/ziF8se69KlS5w+fbrgWLt57r0rik7FQgV72DPYi34Ai76OYEr+SSJiPkTkJQ8QnvnRxHYd2AuWozAXeJfINxYzrzcSefB3Ke0FNxHlMseIyHEZRZdZOhlca8BRKIM0kl0zANcw4yXDMuPnFHHsYOK6bmKKSUpPRCcZqUUfm/J1cljAFGyO6NnbTOQ35wi4T7lbwar7MaV7jIgUFUW3Y5FbB8bWrqePBZ7ne/StkeCUT+7CiHiniBx9C0EGUp61g4iAq4iGCEI9RIha9fnS8Wcww1ONGeGTxJKHS8QKTIo+7/oY2ghURrCwHIF67JlrxZR9Hvge5jgNEflxQf036OUqG0kvo37sKuy5kQMiguI0UQLUhhnUboJ8JRJULfYOiBWtuRNcL/LhMLFqVi3wSWI95BXs/RLRrN7Pt89HKwOosrkqjJl/G0Mc9gEz9AHPYyyErUuS6dxG1KvLwE4QJU7FMLfy+VMURuEy6iKxtRBoUbkxZHybI/4jtK61zD4PTx47A/y5z30OoGR+NpfLFWyzmZw+fbrssS5fvgzA888/f1/OvXdFOclpoudqjmDwKv8mRbBCeMQ5IkKqI4gxYipnMAUF5q3e8x+VkchQbcUAF4vKU2TkGjHF1UvAxx1oWcA+qnie2/wyn2FwDTY2GaSTC5wiosIsFvFcwZTIEBalVBFweh5TRLew/sCTmFK64p/lEteo0hrl/FYIqDkJ5eqeJHO1eYLV20BET/VYLapqnFVOI2VfSzt1/C5f4z1+kTf5Zd7jb/K7/APa1+qVhR5oXxF/lKsWs1m/OwiG777EmMQOFllJxCdBsk0EA7ieqNGtIZaYlOGpAfbRx02e5zvuNBz2zzNE7rfar11GOY85kpexqPCa37sFhgvWE14vwxzw4+T8kwm/RpGlhFAotXAYe77/Mn108TzN9FGLlb8pJaI52ocZMJEEG7BnUjXmYkOLhyGD3uznV0mRiG4iYYkQJQdxEqimnRy/yzLvAW9iRVe/66OuXOSci/QohrjSG6UMLGzsJJcy6kLByo1Bjty4z4HQm70H+O69Ee1QTp8+zfh4aXhyaGgIgGeffbaiY42Pj9PR0UF7e3tZwtVnPvOZ+3LuvSuCjO4QkLJKPcRylOEAe2mUQ80QpJs7if8PY8qkmcIetDeIfOMEEQFupRSpWIqVxBGilnb/2rXYEnl36OfDtT0HOc5neJEMswzTRHZtabtGAlKrJroa7ccMxG0CGlQuUwZKLOl2YsWfCSKCVYRzj+hYNEcsJtHsnyt3LCh1DoMkuwklvI9Y5Uf1xtUEmcrIagP8v+kviv76+TcM8DJn+adE7l7qY5SIXBWFqzRIEaXYy4rYk5G+yoeUGxwjSGIZAmId8+sUh2AFrUPcDgzw9+jnjxP36y9wgV8nv1Y+JehfaY9FzGFS5CmHYBYYIcscg3yMft6nWAb5MSfejRPR6ixmxJt8XEcI9u8BYD/tfJwB/hn9fDtxrD4u8J+RpwVzwg5j93secwhqCbh8FntuxTavxuDj4xT2H9czWIU9K4ppm4k8+gxao3qAu/QXoUP9wABwdu2TzaDgYtKjcvqKureThy1+Xw+wcT9npa8WiSYw4/SRo5dZhqGoluHhymNlgNvbK/PXxEzeTN555x1eeOEFOjs71xlgRceZTOa+nPvIkdKQp6Snp2fD7++fJPOqYvmqxvIYpihUepKEnCD63gpqfZKAH29S2IMWP/4dInKbprC4PykbKYckKSOphA8QbfvEuK0CDjLAv6afiYIz9HMNqOYsfx1T1B/DDK+ip3ZMSbQQ0eU00aVIZJ0+n6MM0SVrCFPYV/z3NEHqkvERZJzM/Qr2nfLrF7nnln//NIE0iO0thbZElDHVADfoY26d8Y3r/zf0cdMXYZglGnsc9GOpe1YT0WJRke4iYXyTPAE5I/swuPkm0fijiYCZa7HnC6Lxx621OR/gn65rZ9nP/+5Ow39PGJ7bhDNzze/XBAYB5/w65n08k1zgzzPAQsGcDPIsF/ivfJwzfl054jk+5fOSxyLOFexeNjHA/6PA+No4swzwGmf5z4mGHlNEyZDSGCtEM5Tbfu5D2POi+67yniFiGcUnifK6EaJmvRo4QB+z9K+1niyUfuxpzW7ayQpi2ck6Iu+8QPQFL96+Eik26kqZQMD3yfdd6SvTF+0sMcD3Ct7lQeACUYz3MOWxMsC7LRcvXmRoaIhz587x6quvFnyXhJ7vh1y/fn2Xj7gVIsNmUooZOU40kxC5aQlTKMVess69hL2wyguPU9hqbhJTOOOJYzYRzRl0nI3IHw2YchX8KKg8RyzuLU/d8nV93KC/zCo9/Vyhjyqya8erwwyxYN/9Pg/j9LFKLxMMs0J2rRyplYCX5Xw0+LHE7hZxa5IwkIr+k+Q25cRaiL6+KnOa9nm7SkS7IgdNEyUzk0Tpzyl6ebfkdUt6uUV2jaGtMamMScdrIfouixwGkZtOEs8EK7f4tWeIZfz2E5DzauLvKoLpO+1kqULjK+nnD+njO8AyvYwzTCvZtWdNBktlOq1+TROodab1wv6b9NFILzMM0012Db6HYFO3+jz+OQLyP4Y9XwbL91FDP6WrIPoZoo9LZPkhzAkTcjJBGJwGotGGouCrPi9XiCUFZ4mVlZaJ3tMirenaR4EZejfpLNULZDddIrSWKI07TjSTuUs4oHcS21cqpUhaqxQ+S8XOwC3s/rUzwE36mSk44vrI/uHJY2WAy8HE25UrV65w7tw5XnvtNYaGhrh06RInT57ki1/8Iq+88gq//du/zbvvvntfzr27Uon3ulPRgz9N5WxFiOb/qiUWQUNR635McYhlK+iwNnENxcpB+cFlzGvWj4hVNwkSz20ip1gDVNO7ZjBKSy9jZDmCKWuViAgCzNNODQN8k/5Ej2zli/NrSxMeJJrzK4oaIpqA1Ps4D1K4qpDyur1EedAqse7wJIWNHm4SbOt7PkcQdaiaSzOUw2uGpbQMr82jFLjY2hDNPpaIMiFBu4LemwlYOglDi7DTStTPthOQu2BnsXkF4U/Ry40Nx/z/5L/jxxJ13IM8zQWeJ7/mvJ3w81dT2NhDcPokWTrcOC74tSi/rYhZRDc5THMEgW4VmKd3bQnE0tLLbV98QoiPSI0qH5rF3mNF2gvYMyhn5jIW4U5BAXHumo/lA99+BHNAbwMwvMnzPgxsDgW3+rn6fH5Uz3wA+BbmVOnZ3IokETfpFT2v5ZyBJeAufdylv8xRI7J/uPJYGeDNRHCxGmpUIl//+te5dOkSL774Iq+88gqXL1/mpZde4qd/+qcBePvttzc5wvbOffTo0Q2/7+npqfjcW1vgfidSKjIuJUmHQLlRkSa0v5jTqt+UAlcNpMoZ9GImlcMpggjWhBnHOkIxNROEp7sEeWw/sMxwwaox62V4Dfq6Sxi/dj/2SQb4/xQYX4B+xhighrM8Q9R56jpzBNQqQpGiyCWCybrPr7ubIOIo+polIHwRtBRJqwZVZWJCJ6YxZVyDwZQ1ZPkYg/St6/oFMMh/RJZDmCFf8euuwhT8HEEWEvEuGf0K/hb5SapH+WHlULuIfDTE8zpDdHJaIKLM+U0NyI8VNVHp5z0GmOYsP4YRoAQT6/wQ3cRasOdHZXZ6VgWp1/v/s35NVcRKXxBQdAPDa/BxaRleY9PXYYQrGfQa7J7fwlIdc0RZ1V1sjmdYX8Ij4zVH3J8Z7P7dRguTZDFYtpSxGkRGqhwUnEzzZIhe1mLg12Odr26xfX1TrFdk/DfOCxdSJteLRfYPVx47A3z58mVOnTpV8jvlXxW1Vir5fJ7XXnuN1157be0zka+Sx9rNc9+4sbFXXyiKFstFnlslMtxvKecQCJZWva/KD0TO6sAMj0pUdA3FykGkI0VTtZixUf5X+VHNkXKmDcApsnRsQL455C/tLaI+VV59I32MlTReAP3cpY8ZspwgPPh9fp2LRP2wyDh1RETcTjSLgOhgNOzbdxAGecq30XX3EJClDKAM2jFM6YuI1cEFvsAAXynq/vQXuMCv+LUKBp7xY6mmWMdu8r8XfZ73UbjUpMhqU4STofslOFwRdE3i91Lit4h5o2TZxyAn1jk9G0k/w/RxzOFkRWzKW84T3afEYJaRXyYIaPXEcoeC9vUsylnQO1ZFlkYG+WH6+bN14xmkyxegyBFNTXqId+Q6QRJT/leQvBj2Iucl3/0kaTJZZ6sI2RzYCywwwAT9a45P5Er7gF7yDFNDdm0N61LGXvu2EeViutdCOzKJ7StNgxWnz2BjZ8BkeJOjbvb9g5DHrgxJNbilSFEnT54ErCa3Ejlx4gRjY2N89rOfXffd888/z1e+8pWCTli7ee6tieowy9XJbea9PmgpVa6QdAj0vfJgED2cFwlYL6nURezSfvLA2wljr4jvLpEDhlhhRwp1nAv8ZQbXVhQyGaSLC3waU173MJb2VcxYXgbuVABfL2IKVrnPVcwA1vpnUvYyRvUEMa3R56GdqPV8kmjkIBZyG1FTLahapRnNBDJwIDG3d1FXqjwtnOXv8jSv8QL/mKd5g7O8Sn4th67or4HI3Yvw00Tk6huIvLMcFUWw2l9w9gRmZEaJzmoQK/coohTbfJQgej3BBX6WQT5VMNd/vNazudy9OESwlJULVwONBv9RGuSQn28au18yNs0E5D5F9HpW3esNv4YJzND9DQZ5umAc9lydIgiKh4jUwhCRb2+ENRi7zn/L8IpPUPxOa66miIYtHVhU+jSqj83TxlkO8jQ1vODfXAAGqPLSpBXeY5Tf5Q7ta2VFyRSW4OURIv0xi70nOcLZ6iH6BMjB2UiEliX1Wz3htJeqLTZRZF9KIrJ/uPLYRcCvvPIKFy9e5MUXXyyIWAFeeOEFxsfH17WDPHHiBM8++yxf//rXCz5/9tln6ejoWDOeki984QuA9Xfe6bl3R2rZGF4uRWRY/8A+OEk6BD1Ex5pVCtcZncaURY6A3ZQfbPF95ij9GIuos8+PKVKTSmFaicjhY34e5WVbyTPFWf4afQzTS45hOsmu9Va+Q2F7zGnMQPQxnIggSskwxwmHSQa2iugCpfKaJWJRdEWJKu0RFK98WI5ocSnjqCi1jXBQVMfb5tsrshgl8p/NqKwpywGya3WXkwRTvMGv+U+w+EjO1CRhOGr8uD2+rQyVuiKJtauSGEXBOQKuVMSrfHWG4AnkfPyGEOSBs/x9+hh34tthoIH3+KkN7sVBorRp2ccmUpzmSFA3ifsFgVrI0KiUScS+BQQ9RwvKDvLMc5b/E318l17uMMwyWaowaHmeqNVVA5Fu/z1KNNxQedEholRN7/wVSjvWtX6sAz6mFh/vBOZ8LQJjZGkj63rjd6kqiIgB+llggDHOrnvOlzBntM1/n0S91GPRihqC+S4eyjzl1+iG8miZKjA25puYE1EIryuy3wvywCPgv/SX/hI///M/z/Hjx9c++53f+R2Wlpb44z/+Y37kR35kR8e/cuUKr7zyCq+88kpBJHrmzBnOnz/PmTNn1u3z5ptv8rWvfW1dpHvp0iUuX77Mb//2b6999tJLL63r9byTc++ObBRNwubdZh60TGIvoF5QQZcQS+wtYobuIyyKyBEdplowxSNI7gnsmpXfVG2ryntMudj1qt54P0a++XHgh7CuQieI2k2LurI0colesuSIRgBPEFD2df99C/geWSYY5ETJqx7kmLcuXCJKbOYIgyrmtoypnARBxDmfq7tE/+paH9cMAT0f8Hk8TrTyzBANG9qJReHrfA5PEmxjMXtF/NpHrMAk0pnypfME/HySaPhw24+Tx6Kguz5GwcciKanM5hrW/uEDLIpSmkDPQoPvoxxpp19bl98Pi+ayHOQST5PlJFmeYpAfL3MvbBubI5XKXCGaWGguRgnWLQRUbnB9pAnU8WkGe27HiHu34vdo2X9ukGWRSzT48ovjie9aCKTnqh/rHkFGa8fSBocROGx57GN+LUcJ0mGHz1sX9lx/HHgO+Izve8R/RHg7gvEneuijbZ3xlfSzWqZT1hwG7N7B3ouPsHsp9EJcC6FYjQQkXU7KoWWwcYc7E3PM7OlQZH+WvVGCBA84Av6pn/op3njjDcCixeeff57Ozk7Onz/P0NAQzz33HO+++y4nT57ko48+2vZ5fumXfom3336bN954Y60DFRgMXGpFoq997WucO3duXX42n89z/vz5teNkMhmGhoZKGt/tnnt3pBJ4uVKC1IMQOQS9BNw6S+SOGokFwZNEniVMwUC01VP+TZH9NaLmVbm8u5gSO0q0MZwm5qwJi35n/H/BkfMElP00oUQVxbVhkKDQhBpgmQt82r3uJAv6BBf4mwQreML3zRBRuWp092FKbCLxOQSMt0LA0oJFwZTyCLGk32GCUT7i550ilFoz1nLyFr3c8yj/icSczhDQtfKysz43OT/WGAZnSjFqXoU6tBN9q0U0EyFL7G/leGcJhOMA8Wwo77xIdDJTnrSOYH1rfqowp+0oF/hVBvgH9POvEvfiWS7QT0RRyqXmfPxCJ1TTquMpGhYLWumDKmI1oRvYs1nv34m01UysF6zyIhneGuy5lCMmIp2ixnzi+Bnf5whmWNuJzmIy4nJ2Fv0aqoBnCMKZCHzKY/95olnMFFBDL9d8jKWlPIFJLP0ZArmBcDQbCfi+hmB6l4tidyd9li073ocriukfiPzLf/kv+cpXvsLQ0BAvvPACP/3TP83ly5f5/Oc/z9WrVwGDd0+fPs3f+Bt/40EN65GUI0eOrNUKHz36LDdujFIILz/MCLecFJMplENsI8hhE9iLOE5AcRminaCg0l7MgHVT2ER/mTBcUsbNRGclMYmVrzzixzxKLIhwnVjmr4UgLM0SzsI0EZ3f8DEdxeDsQ0AzfUzSyxjDtHjtbKeP5RBa7ckg7tsMc5wsvT4mKeisX38zFuVlCNhbJUiLRCvJZDMFbSsoVHCdylvmaWeaAX65oIZ2kD/HBX6F/BqLWl22ZKwU3anjU4bo2qXa6Ht+NAFsMs5qGtLi85dks2cJAtLHYY0clSTdVFGIHqwSTFvB2GMU9lO256ePK/RyjWGayVKPRZdiGFcREbfudZfPezNR76yynx7/XGO4Q/AKhLDIkbyF3W91+vou9qzcIRac/zSBNIitvOzHUC5fuV85AJ2Y0VZZ0nWie9wUwaxv8Pk84ePu9vPoekeIumchR/P0McV7ZTOo5o6WNmgHsGg8WeUw6vPalPhcaRY5muX0VrJi4uHpt0J9e3SLJNny8kAj4Fwuxze+8Q0Avv3tbzM0NMRLL720ZnwBXn311ftEVHqcZYyIbLbCLnyQknyRGjElIOi0hvXereoKTxKQI5gymk0cRwpT7Fvl6QSBtRG5VZ2n1ccyTiwo0YApp3mi32wzkWOuIgzaZf9O0d4kQRBROUYbWQ6R5YPEuBoQtN7Oird8DEasOizlacAU+h1CGV8hFnfXfVbJyyhm/PXd3cTctmLPRxWRY7Tc5AC/UqJ71B8ywK9wln9ClDEpohUkq+hKOd9jRIOQKgJN0L0QM7uGaFeqfH6eiJb6/HqTz4kMkfLHyglrPhWJKvKfJ9bNXfF5GSNLJ9k1NOUGofpUxiUUYsjn67u+bw9BIGvzc+j8+Lb3iNKeCcxZUqTXSLRjXCae47z//wmMSKeo+y7haLYQ7OIOoof4caIWdsrH3u73SGNb9LHL6CrSVElbM4GOqJzqdmK+uhnkMP0lapcHqSK7YdwmLsEI9i5MJn4UBdcROf42ypdGCi1LOu57Ub9tTx6oAdYCBpKvf/3rBcv5Se7du7fus1Q2kr0ELxeLot4uwki2Ef1hpVjUWlGKvQN7eZXvyRCLMMhTh+gSdAvz9Kv8fzElr2EKTgzpHEEYEvtWkeG8n3eGMAJNwPuYMhTbsoaIeO4Q0aXypGK+HsAiddV+j6xtM8D/Qv+6+tR3GeBLnOULmCI9jin2CUxxXvbrFsN4xo9/gmgq0kUwuiH6Kyt6sE5Ifdyjn39PKenn39LHDYejIch6MjQiQR0kFPgqURcscpScA5VcKc2w6t/nMQTiLlE6pqhTpUyCoMWsVT2uDLOcooPEmtS6f80+7nbi+VJudo6IJJVOWMaM1YSPTehBPeZk6HmQcV0iGNt/4tcvuH2MWCBh0sdT42P6ro9rljCSQhzkYOoY6jomg5fx8Y8QNbc1mLMp5KgVey7aiTWaV/y62v37aQK2v0vkiPejZSAv8FcZ4P9HPyNIBmniAq3EKmWlIONZn7dqAm1SidQ0hV2zmti8NHIv67edyQM1wB0dHbS2ttLZ2cm1a9eA0mU5+/fvf5DDSqViKYaQky9gqe9qsWiggagJ7MSM5THsZVRuaJUgiSniEZv2IAEHJz1vRQAZgi2pl7qDWB0IArZSw4pp//u675f3YxzEFJuUVDNBFpLhfp9gFoMpjxZiNSAxqheJ5vnHEXO5j++uM76Sft6hj6veLlH5NEWPLcR6rjli2T0pNZ1jFTMMUEh2qkPRcO+GzFPoZcQNsO7vOGG4hEgsYsZERlOGUmNsJFYk0r1QlydFebOEYZjEnpM5oj2kDLqQAClpwdeK0gVrtlK4LKEaZYhINovBuarTXSIg5mUi5aGGL3f8/+s+timinEdlcveIaFW52ubE2AWn7ydy99d8/yPEogGaM0X3Lf5znbiHtT6mbiynvOznEoyvZ6bLj9mAOYSdfq5an2+VC9VgUa9IjaDnJM8iZ/kP6eOOp0ka/blU/l5EySQJqlzFhdI30g85IgW1/dzuoy4P1AC/+eabXL16ldXVVbq67AH59re/DcBv/dZv0dnZydDQUApB70kRhCwFJQbvVSJXpTpV5XdkNI4SdYwywmKLKpKT9y5RhDqKKWdBhNeIulXVmEpxLhCkpA4iahVrusnPOYoptVqiJeUIQVRqwBSGYMM2TNmPYMpWuUhdnwxwMscsyLrZr1+s+KoKOvTcKeo33EHkQ8cIY3KViPTkcKh8Z4WAiGWE2v1aRhneZG1UK+MRlLlMMKwXiEiygagzVipBJTJCOZYJg5I0niJzVfu4FgnouCWxrRwqiAhUkadKf5aIlaIaiaXrNP9iNOcIJ0rM6o7EMQTP54jSshnsueyhEEK949+t+pwvEJyDEWKta7HUxdif8PuhFIauSU6Ejj9PNJE5Srwbup8iJolYN0bUzNf52MZ8nvf7dYqRLaRBdeNQ+LxDvOfTZGkky1OEcwlBJlNqRznZUpCxyGPJPK7y53ulNPLhyAM1wN/4xjfWluUrlurqak6fPs3bb7+9lidOZS9JcU5WL90TmFEq/k7knWbiZVQEO0LAbaOUZ21f9eNfJ5aJU6STIVoYyuiIfHOYWIWoh4i06om6yg6CqavtlB+uw5TLKlFvO4UprGliuUAwOsoxAlJT04UcsXDESULZjzG8iQkeXoMxNYdLPsetRNQ/TyzWnsMMcQ+hRFXPukBEXmI3HydLF4Ocpp9vrjv/ID/uhDBjG/fxAb1cZpg6J97IMIjwdsT3FCwqeFnGVKQkCKPbiN33GYKx/gSFBlP3JkniUspA9cZTxFKHQi4aiWdCucYGIhrH5+O6z2ELsZDEAoXGUDC5EBRF+CoJWsbuawfR3avGf5L1xBmivEvO4TQWxdYRC2bI8C9TuLzgGPG+7CfeHyELIurliBK/Kj/eAvFeKp+vMdb6MRv9/t0g0KkxCgmL0z6HY0QJWq1v00H5utwO1vdql4MhxGCOxym3W6k8UAMMEfEWy+c///kHO5BUSshmEHOGIM8oopunEAJWTaHqSKVAuvwY49iLOEFEdOU83zngQ8z4dBPEqFYiZyYG5SrRvrCaYNxKeRwkovZ2CiOUE4QibvDtZoml4e76WD8kaid1zU8DDfSx6Kvt1PvKMR9iiucUsQ7wAnDUW13+fplWl5/w/aeJWl2ItWZvE1Cuyl/2EwtNLBJsZEHkMiYivMwDi1zgiwzwa/QnVkAa5Ee5wD8CcrRTxQAv08+/S3x/igv8RfJrhl1lLjKoXUTdrGDeecIYKg+tiFeMdUW9KsupTRxDZDM5cfNE72Xd47HEHOs8KoNRSVmN//0UtoauIsccFsnrmbxFRLKHiPWN38OM3G1icYuDBImrlcj5iisgcpW4DGJst/r56wgC2RyFywXO+LYZgp0PkUuWA1qP8Rzk/EwSztE9v4arfqwhonmKcqtyPgT13yXY6cNE+Z8chxbsPb9HkOXa/Hya+2aifDBD3Mdxn3+lnqYo38Xr8ZcHZoBbW1uZnPzBghcenOwnYNztPsSl6P71FEJLysmKcZnMS7VgSqIBy7G1EOzkWkJB5ogITnDayAbjXiKK7RUBHiSi2AwBt+aJ+lHlTj9G1FJW++dgClP/d2EKptav+wbRZ3mFiKafJBoItADttNPJAP+vgmXmBvk4F/hL5Nf6IEOQwgxOv8DPMcA/oZ8PEvud5AI/QSHjdtXHMuHXrfzbJGHY89g9E1yv/0UqWiAinFYEq+eZ5Cy/6RHuJMN0keXo2pgH+MUC4wvQz2Vfyu0/JfKhtwlmu9jBIknVEp2klI8WqiADrWitiYBEVS+s4+iZXCCem0nMKTHnro8P6WWYYY6R5WME4Uiwq55T3fMcEUHeJSBVEbueIiLyHGbElDvd73OrdMth4l7vI2qYk46AHEQRoOQ4TvtxF4hlJhU16/rlWB0n0JG7hCOsNI3Yx0KZcr695nU/9nyrdlilbnJe7hH52CxRDjiLvSNyfGZ9LKOYgVfZnxwoiEUi6gmn4jjhQFRjOqMU+/kHQx6IAf6FX/gFvvSlL/Hmm2/yV//qX137/Kd+6qcYHx/nX/2rf/UghvEYi7zSpMHcqiiCFUxUXBaQzMlC5AcFx1b79+oQlPOfewQjU8ZY3XCWMOXTyObLlCWZkHcxL17RgSIRRe34+U4QdaOK/K4QpJtqTCEoUr+DKRMRqnIEWUuEngxRpnSQAX6bfr5TMNJ+vs8AK5zl/0DkMYUaWGlKnmOc5afpY9TrU6s98tVYxBSe8jGJdDRFLOmXrBedxSK3g77tAaIb2AKRd5Tirkb3PMsnHVpWacwkfdyhnz8oeSf6ueyLSkiJNieuU1BwM9G8Q8ztWfoYoZcRhjnkhJ5pn2dF8SpbaiI6Z6nUTPMiyLoKOEQ7owzwagGcPsinucAvkOegby/0RdGZGNwi4gnWzRELSLQQxC1Ft61EvfAVDA1RfbdyybOEc9FGNBqRsZ7CuAy1fv2jmPGfIuq7xdiX45YjYPmkk6ByJT0LQqpGfZ9xAvr+gOAFNBDr5k4R0HkT0dd7P2E49/k1txFLR04TkfMs9t5/gL1TIsTlKFwetJbI739I6J0HDsbuCXkgV33q1Clee+21dT2Vv/GNb/ALv/ALnD9/np/92Z99EEN5TEXR5048Sb0YVZQuC0jmZFW0P469oFKwKuGZJNYcldHpIuCuecKQJ8+RhMCTUgyHL2HGsorCiFgRSBNmlBVRKScr2PQm0dEqgynZdmJBgwmixaTGeYiIvKaBI/TxvXXGV9JPlj7OkF0bsyBjRaatwEmvFRYcfovIi6ocBb/2MR/fMSJnVuXXrmhfCryawvxx0uGZICLSDBEdzxN9s+srWLu2kexa1JU0DK0+ft1XK1Fq5zYD/Df088drxzC4+2fIrxkrkeVkyMSyFclLx95PrLDT6EhCYS67n28zwK9ylr9NMHzFTF5OzJPg43GibaaMs+D1duz5+RixHOA4ll7QsRTpCnquIiJAGa5aonWnrilHtBqd8Xvygd8XEezqiHWBlTf9iGgVqlSE0hG6p8n3ZZQo+ctSmJe/QzgNh/28GcJhG/c52oe9B3mMb1Dlc5AlOBHHCWRphdAly37sZMORE4RT9IMHP8MDdDt+5md+puTn//gf/2P+8l/+y/z8z/88v/mbv/mghvOYiZWW7MyTlMJbpXxZgHKyyTyxSgkWgHexF3AWUyjXiRVrlrAXW8ahFVMGalIAkfMTiQbM+IhAlYzuxxP7ZYj+yQv+83ECCvwu4QhIKQoGb8cU0w0/1pgfe6jofHki8rTx9a6dv7T0MuHr514nlKvy4U1EbebTmBI86XO87PuIidxILFgxhSnzYxgEqlpmkW2G/JpmMQV3m+hUJaMgYwEBBzcSOdDJCtau7SXSFPWY4lf0LqhcqQAY4B+WMJL/ngHmOcsv+viSOWBFmbPYfRAULPQBoJs+3qefPyo5xn6+Tx/vk6WHIAQuUWjIlQIQ4UhM7A6iMctBouyqHrtXPdh8HyIc0HGfgxz23Gb8dxOFdbuKHlW2lYz2F7H7LrKUUgJzFLYfFXSt96PJ50m52GJehdJIE34tS379sz43IxhSJfZzDrGgo7ZeTG41hAFzBKaJXt3KzytyPkAQz0ScU655gngefzDTk9Wbb7JzefPNN/m1X/s1WlpaSn7/+7//+2XX0U2lElEzga14krXYS3GAiLYW2WyJr4CClZedIwy3Sh0UOWosM1hk8UdErm0RU4SHsBf9CKboerDc25NYtH2UULrJ0hl59SL41BK5ZymYKUyhdxHRxkLiGDXEwuSzfqwPgH/vv5NzKbatDGm1l+qUl2G6iUYI1X5t7T7GBcIoKrJWaYggQ0XiQ1g++hZx30TE6iJ6Fk9ijsQfEU3xGwh4UmU0gro1Bys+njH/bIUsn2SQP1/yugb5C2T5NBb9HMEU+SKRB14l2t3P0McflGRbA/TzHfrWOicJxhbUPord0+v+t5wrGeB99CaaRJSS3rV+4U0+B00EvNyOGTuRvA4Q0fJBzAD/sG9zCntWT2HPVx/mBK1i96eWwv7U4h3cINZGrsVqyPWuZShsN3nSz9GOPSufIPLB+xNjhVgR6C6xwEoL0dmrmlgjXCKUS7loGUQIlrZkNfG3SFa9xP1VHlnR+TiRdrrtP3cIIytSphwUvbNCw9II+L7JN77xDS5evEgul+ONN97g0qVLXLp0aa0ZB7AOnk5lKyI2Z6WeZDnCVQ57QUqxoMsdp5boIqQa0eQ4kpG1Sn9EDlpNnK/Zv1POTKxl5YlLRfdLPuY2/7ubgDEzBDQ3jSmOWUwp1hDL8nURsJi+K6UQdK4eFD1lOcYgz61r5wgwyA+TXWsZCNFfWLCi5kjMVUV+x4jI7yOCOZrxH9XBypAr977fz3MTU3qXCf/6AJGbVb5eiIEMsJTpIuqhfIFXGeDvFS1kcIYL/BMims4R+X2NRaiGOT29BU7PejGkQGQzkfoU3YlwNElA3aD7O8yTGx57mD6ipWWeUPodRI4abN6XiYgzQ6QmlJoRpN7m+7b7sVSmVE9AyyM+F08SdenzmHOZfM6f9OPLiZnAjLAcB7HI7xFLEeLn3k88C3IQlW9u8Guqxxw3GbxDmKEX4VDlbfeI/HXOz605Vz5X0atK4MSyHsOM7SKRshFBkqK5n8UcmCnf9wfX+MIDMsC//uu/znPPPceVK1d48cUXefHFF1ldXSWXy/HOO+9w8uTJtcXsU9mOKP9XKQu6HOGqkcrzx0kjvkjULI6zeWecZv//IEHAqsIUSh0W+UqJLxJr8FZybXVELu4DTNm0YUpQrN3Dfi5FF/VE7tzqZKPVvOD2jO8/Tizht8AF/i8MUFsAgw7yKS5wHlNkUugyvM0EnKgIZIxII2SIMpIxorGIoMuTRD31Hb8O5QnzmNJVtDjm24moI+UnUlaylljKXVByA3lqOctr9HGdXm4xzAmynPD9tW2TX7UcLbCoLJjHw5uomWFOEuzsOSJFIJhWhkO1q8pXVpHlCQb5cfr5t+uOO8iPOhta6IYiaDmEynvr+IrAlRpR3XQbYYSV/xUxTGkTRZ9TmEE8iBnhYcxp20/hQhothPHME2z1J7H7J0h+BYs2m4llL4cJp1OcgU6/6lqCKyBjKSJhD9HSVZHsZSIFUUM43sqRC7k5RCApQsruEOka6R8IvaBtmwlHuY5AN1QDrEi9Eqf/fkiSe/Jgx/BADPCzzz5b0F7yzJkzvPDCCzz//PO88MILvPHGGykJa0dyj60RrzYjXFXyQJYz4ktF2woqTh5PL7yMTCfBPFVkuEAsKzhHlJ2UEkGYI5giUw3tU77/KNH1R7D7Qf9pJnKmat4go79EsG2V65wgIO0G8rRwln9EH/fo5SbDVJFdi6aVR1XNpYhDLQR8f9u3nSSg6QU/zxxR+1yLGd9Vou9zDxG1TxDlJH2Y0hbRbNnnZD+RY9c4hC4sYzlj5SRrsaUKP6SXHMMcIcuTxLq3ipamff5qiRWkan2MVked5TiDfKokYc2afvRRmDKowhT2jG91gOispQhZRJ9FX3LwlwpY27aq039DsJhVDqNo/CrxvClK1jVpnpYTc6XvldsUOpPMrUPk1u/671kf6wjmWNYQS14K+ta7oai3iz5u0MtHDLOf7FoLURk8lQKpzKrFjzVD1PTOEjW6tdizUkd0pGvAnplu7FlpJfK3ywTacJRwaCEicuXmv4M5BJIO1uuFCWJt7gxRj3+d9R2yZOSVrsyx0Xq/O5dyaOCDicwfiAEu7n711ltv8dZbbwHQ3t7Ol770Jf76X//r/PN//s8fxHBS2ZBwVekDuZkRLz5f0kFQmZJyu/KI6xKf7cOU5CoBHRefv5UgNilKvIEZ3xHMADQQTeBnMaPb5fuKJd2BKaYc0XZRRk2RschkOYJFrc+ayNLsrGDlMJNEr08QULMMTQ6LZq5gxlSGUI1AVgk4UQpz0ffRfRkhaj8niHroBp8DQeCCnRd9Dlowhb6fQshYxqSVdsYZ4L8ogp9f4AJfIb9mLNTpaZGIXEUOaiGU64zXPb9KP99PHO8/8KYfckwafFwLBPFK7OgJv09CB0SIqyPPNGf5Zfr4Nr3c8XWNP+FznSdWZVomFjqAaL8oaF5GTAz6aiJqUwmNjISIV/eIPGgdYVx6sQUa2gh0Rwb+DgHHyjlbBRp8ich/ULBQxiCf5AL/MXlWCDb8BNFYJVkyJSZ6NdHFKkmWXMU4Ds9gz6CIU3Iw5Tzp+QAz9N2JY13x+/Me68sHS+kFvRNzPvdy6oudeCEcek/w60vC6Lstm5Vf3l95IAY4l8vxqU99iu98Z70HnM/n+Zmf+Rl+53d+JzXA91WSUS2U78Na6QO5kRHfTARLJz1iKac6TEFJcY0RpR/Ja5GToOgUTHneIKLUWkxBfkA0YWghnAr8GMpfKjo/SeS2wJRHG2Z4FzFW9TTBxJ4j1iWe9+3miD7Bk0SpiyBUjetDor+ziC9yEnoIIyGj3OTzo/umHHGSzKV7LHh11s8h+FhlQmLTzmMKWoaolgF+ocD4AvTzJgP8NGf5nwkHJU8hurFCwJyLmOF6kjwLnOVV+rjqHcOOuZGU07CS+GnBnIdxgnhUgyn0Hh+NlLkM5TJZDroTpHKyaiLHDbGAgJyHKQKmbaRw4YBhzHHS85H3sSjKFDy9j4DO64hFO0Syq/Nx12MOpTgES0TbyxaEtFhJ1beK5v1PGeAeZ/kJojnHLJE+aSJWzLpHLLkoR0+sZLHhP5a4N0sEQa+JQmd6mcjfLhPtJgXDyyAndYvSI8V6QfskJUkKmyVy1rWJe5YjYPT7YRC3Ekjcn7Pfd/niF7/I66+/XtLI/tZv/Ra5XI6xsbEye6eycykV1cpTn6MQZq70gSyV262UBJaEpeURK1ITpDlL4cLlyeMWOwkQ5BiRdxQpqn5ROcklwthNEgxwKeUGP/4tAto7gSnkah/3JNFzucWPLRaoyGwfJr4T1NmGKd/rPm/XiXzqLKZEBfkdJ3Lg036Ns1i0/BShkASDiqEtuPIo4dQs+5wKZcgnrrWOMCj1QB19XKOf36eU9HOJPr7vpT1iUq8m5kLGcoXojyynrNuRgnqiq9Uk0XZSEOkScY9FolPpkIy+EA8p+jniuVnAnKBOYrEHsctVL95AlJ+J9Fbrx7lCcunIKIsT3K9nfpJYGlM5XB2nm3h+W4k0ynsEMqL0xkGg2peILDS+Me836eOmdypbIiDaOuyZ0PXNYu/tTQrLoYTq5FBPcjv/MPGcFRvNKcxpECys1Mc09uzKWUnqFjmdE0QzknJ6QZF/ux+jhcKFRkQMFIx+P2QngcTO5YGUIQF87nOfY//+/fytv/W3Cj7/0R/9UV5++WVyudyDGsoPoCQNVhthuJaIciI9cJU+kDKiIl8IRq70wRUsrfNDlEd8C1OAd4lOQTLSHRi8eohQsEf8R2ziaUxpyEAo4s34/1LgDYTyFfSoKFxOx1WCEJQ02iJxCRZcRmvtGrFFRnrKr+VPMeV1o2juFvw6q7D57vZraSfKXn7IzyfjLPJWgx9TEYIg2yeIaF4lRsOEQRCEqblSnt3ufS9X2Uh6eZ+4L9NEd7MDBNFMilcOgtIFPT5/DUQdNz4ePUOKaqv8s4NE+ZFSER9hRLkxwqApr3qA6NWt9IOIgi0+hiainjpDPMeXiUU4RonlBicJ1u4K4RTNYfdJ0LTSCEnn7DZh1OU4fYh1w7qGISHv0cufbDLvIgsqSuwkyteUhx72ufkAe65Um93sY1e6po6A2gVBF5cgjvh1fwf4PvCOX8tNghFerFvaCGO7mV6QEy/nQHXOM9g7cJhg698vmaSy8sv74wA8mDjb5Z/9s3+27rPnnnuOT3/602UXaUhlN2QrMMtOItudSNLwdxDN4BUhNxBrC3cRtYnHCbhTL+sEEdkphyyYT1CYop39mEISwSZHsJ3nfbtR/1xM7AzRsCBPtFEUkqC67CkfR4YoWakl6pEV3cnRUa62xffr9jlo9m3yRElRo3/3cYIJq3pXiIhFudlGIoKsJhp6KHpv93E1M7zmqJSWYfYRjsQBwritEKSnKYL5K3i6nkL2sXKxukawe2sK2dah/YBhZsnSQx8f0csfMEw72bWGJYs+312EAVR0PUUY0jxW06s8dz3hoE1i78UUfdyml0WGmfNo8xbxXJzCnoHDvn0XYViEiMix1XujPLLmYQozYHkfYzNiUCepTKXnvdGvpRMztK1+jCXMUWzzLYvTNXr3rxOdxvR/cY62mHiZRKogWN9yNMQBkG4R03qOiMDLOeXK0evZHMaczHqCIKi5lNOx25Fp8ho3Ip22cD/kgRrgcpIa3/stW4FZKn0gd5s9uJHhr8WMr6CqduxFV65I9afV2Et8mIiYlSusJtjFgpIXiLZ6yuXdIqLWKaJJxyKlc1BVRFRaRyjlKiJHNkF0N0qWooxTmM9tJkg2Yiur49IEsRJUHlNyB4m1dZsJhq8g0ZuEEyJi2CEiFyjYUiU6+7EmHE0M8ufo5w/XXe0gf57sWtOTCSKvLsWuYykv2UwQaxTl2Jj6GPK+0I1e3nQPOEE7MMB/VbAQxB3a6V5r7gGDPMEF+snTSSwk0EM0vBCj/QOiWcstnxex7lW73kQ7dQzwr+jno8Q5RrjAp8iv1QVPYQ6f2MeKuJXzFZFr1c+lXG0TFpUeJlpMJh1Acyaz7GOQy/Rzq8S87ye79gyvEMz4UYJkNo09TzKkQh3qiSU3G4l3RvNVLkcLhQTKDmJ976Ru0DWr0cwUkdsu1gnJfLFQGqEK1ViErfspeF+Ozf0iRiWvsZzUbPL99mRPGOBU7rdUEtUWvxib1cIJeuomVjYZxV6Wu9sY40aGX5CljK8gN+Vq2zGD2Y4pyFWiH28yKpglCDeKkPLYXOxPnPcmRhBTrlQM1kaix7VY0x1E9DlDQMFtWITRSORjISLmu0T7PsG/w1hbyinM4RA8liMWrWjE4DkxjjUvowTsXpPYvgZTyl2YYnuCyD/mfEwtBJHIjNUFfpYB5oqWKnyOC/znRI/fdv9GxLIlP45gfeVDIRCJRWf6/nyBgR/kNBf4++SpZoC/v669ZNL4AvRzlQH+V87ynxF53mpgH31co5d3GabNe3FfIRYNaSE6gSlnOc8A/6LA+No5hnxRjW4K89RKN6wSvZ5zvs04gS4J+l70cwpS7yZymyuYU7QKtHGB/zMDfJ1+PkzMTTcXOIE96x/3cx/2awLrrjWWOFcyL6tov4aA8IV21GBOT1IXFOuBWSIH24U9781+biEoU8QawVM+x3nW96cvx0UpJoS2EYZ4u8SoreqzzWR5B/uWl9QA/0DIZlHtdqLZWuzFFFx8kCBVjG+wX3L/UuMp5YkKRmskGsKL4CF4sJ0gliwTuVmV2uSI1pUZYsUXNaIQa1a53gZM4fUQrQAXMAN/jSgnEuFon5/jhI85WXqyQpSxqJ61g1g3edT3kSMz72NX9Frrx+sgFp9fwAy7iFdV/vk1ot1fI7G4gIhYEEvSSRGvEl21DI60Jhz/gD6G6WXGVy/qxIy5mlAsEc6D7pEcihymQG8ROXNrglFsfAH6+SYD/Ao/z98p29u5WGxVpmqvk52knWoG+OWi9Yuf4AL/IXmWMadqmSg/m0dQdz+Xy5zjKn3kyPJDvp8IWWLpCoXpJpp2VBNIg1jySVZ8e2IcS8SiD53kgbM8RR/fp5chhlnyunIZPD0HMghXiTpyvUelSIq1xPN0j3AYoZBjofROhiiBG/Fr6/Sx60fvukruWgg4e4T1hrNchUXyGdIzpbKp7RCjdhudg4Dgd1dSA/wDIxvBLNuphVsiWhme9M8UrW0GFW3nBakiDJhgzKtEznce85r3+/EEaYkVnSdqCccT5xfLtZqIbJWvexIzip/w/2uJkqQP/e9VYhnDQ0RHMEGSY0REqA5LLdhcH8JKQo4T+WmxgAUnqrFIK9EspBlTwmKQyrjX+HWNYAZWKMEMUdrU7fNz1OevmzDq+DGPIqJalqfcwM0S5BuRmUTeyhGQuSBoCEa5GNpLvnjCemgboJ9v8fUyq0uVk16ukeUUAAP81wX1s3bMqwwwzVmeJzpZiRPQCszTu9ZEo9w5cNhdyIYQlhqiy5NKwJTP7CZSJnMEA1lzJOeriUgtiInfQpZqsmv7qPztAIZgNGP3d5FomlLr16QoX9C4IsjFxI8+U7OXZAlRLUZMqyN4C8exd0vI06KPSeiSOBP4MbqxfLkY8MnouhQXpRj+ln7YLg/lftT27nbu2SQ1wKlQGUmrFDS1SjAqVbu7wOaP1XZekGUi5ygDO0dEZIJrBX3V+HjGfbsRCpneQgRyBMTWRkSegq+PYXCfcsWCLnPEEnIyMk1Efq+ZyNUNE2SsRt/vHtHoQKxsKeVx/66TWMt2nogCcsQatOoI1UGwTnVvRMI67GNvIUqimonVluaJnKLmp93HeouASjuJCEuSzCmuJn4LsdD3Bvv3FkHJ62VrhRnDHMHWL76+zvhK+rlLH8sOR+sZqUGOx/AaalHuHOpWpXssZ0d1y2okso/IrVYR/b1Ve635EBv6GtEbujNxvJsE6jLvn52EgtKvHqKb1QHCGEIwsPUOCAoXQ12fyYHT+99GkPwWsGeqiVgHvJaoDS7OOUN0pCNxLckGH6W4KDVYSkWOykjifNuFkCvRZ3tD9t6IUnkIshlJq1zEOkZEpg3E2p4tieOWI3Bt9QXRy/0uZhQFfd0imgo0ED1xu7EXuRkzdhkKI2xFwioXWsKii14/1jjRprKNqPNsIZjSnX6OFqI8StCcIkQRpIaI2tFuLKqQoRslmunvx5SeIC9FKXex/F8dETHXELCx8tuzRBOGOSyKl8JsI3ocyxCOU9j0P0Mwh8VWbsQioFZiYfoFooEJRNS77N/X0sctevm+t7E8CawyvNZIo7T8IZ9kkL9AP//7htsBDNLrkelYBQs+rJDlGOG8geBja5X5TMka3EGeIMsBoimL0BEZ12ai+5jy3HJC2gmkqJlIe7QSjPfbhJPVSDhVOaIZjPLpereq/DuhN3oOZVjrCchbz0kNwVaWiIgnR1hRuN7fWQLF6PXrVL5b712SKKnnQzXmuic6djEXpcaPq+dOc/M+5Ulhlchm+mzvyAOrA05lL8tmtXCl6ojriEjyMtFcojWxTwsRESZlqy+IIu48pqyGMQWUI+oMIYy6jI+UYZt/l4zckse+TjTnqPbxPocZ+gN+TkXF+Bz1EBHGUcxwiiUqpuxBgqgyipGBFDWLmLOfKMPZTzCqjxCdlGoJBXUHa+ag5guKSCAcCil01a+KhLPk+ywQ0fFdTJnmiOhF0ZoipiWCrdtCRLgi9qwSfaH30c4cv8sXeI9zvMnP8h5/jd/lv6CdWrJ8mkH+Yon7oMUTTnKB/5pBfrzguzt0FG37JBf4Gz5fBxheQxNKy/BaamIWuxc3iDK3HBf4OwzyTNE5Ps0F/lZiuyqfmxUCcq8jHEipUzk7KgsTGQ7sWdEzoTKqG8CfYdHfLezeDmOR8FXfvwub+2vYM7BCIYNYjS9WsXt1DHsODxDGcJl4vhVZJ6FqMcPzfr16JzWenH+n5yz57ml8chDwsS4Tz7DGO0U41PPEUqTHCeb/TmQzfbZ3JI2AU6Eykla53M0owVKWx99J1KGWgpYrYWVTwfbFEa2MejdRl6kyn1IRtrz2LiIq6vTPVC60StSJ1hINQhSxquQpQxhl1WcKCq4iGMeCg/f7mOaxRhtS7PuJWuBRH8+fEgSro5iSFvx+imCOykjlMMXzCd9PjGd1u5r274f8p4PITYqAM+PHbyQWepgmoiXltxsxpSz4dcqJUIVEqn7+DQP8HGf5n7jAKwzwMv38m7XvjWH9RaCWPK2c5Td9IYg8wxwgS68Tk95jmGqPfDtRHjRLO3fI0L02zyF3aCa7lpvNEwsn5Pw6lsjTxFn+W/q46Ss/HSNLG/Btv08rvr+eFaUESFz7KpHvXiUg2FmCJHfH96kh+Asz2D1Owvtj2HPWhBmmVj/mIT/3Lcw4670S+esJInd7h4hgVXd+GXt/ZyjsgCV4e8K3HyU6Xul9niM6bCXf5w7CQRfMXoPVXU9TmAdOclG6iGVDL2PPciOxoMV2ZTN9tnckNcCPnWyXfr8RSUvs5lYoiETk1QvyyhBEkA+IF7NUBLyVF6SS7ZNGuppY/aiRwq5MkiSsnsEUWDumMDKYIVQ5j5TXCBGlgCktMV4PYEpKEbNKKcQuPk6UcSxjxjRD1KIqUrhDRL+H/PyniJzzewQk2UPcE8GLzRix6w5hdJWvVOSBz+ctgjn+cSLKFzQuKH4mMecy1BB9leW85OhjtiyLuZ9/Qx/XyPIEZ/kt+sjSyxWGaSJLt8+HIOJVsjzhDGCDWrN8iiy9mFFQztw6QfWRLWl8AbqZpo/3yXLYj60Ibx6DQEHs9Cwf8yUMb2P3XPOWI9awTZLWBP/rf0WVYuKrhvUegcxMA39ANJ3oI8qC7hKrgXUSq3Z1EZ3b9KyIpAVhmAU7izGf8//lICTzyMoDTxApFjDDXksQr4bZuK1k0kG/hpXSiR2+xPo8sESEuFXsGReSkmwksl3ZSJ/tHUkN8GMl94N+D/ZSnCA63yjnew1TDvW+nbxfMIOjGttS5y71gmzkPGz2QiWNtAzIHcorjiSs3kh0+HkCM36C46owBXUL89JvJ87zlI+1GlOwh4jc7SSxyIRyphnCIZkiWlUuEob/GOHk1CeOd5NQ9jV+vh6ihEOkp1pMYXYRKyB9F1NwaloxQvRUVhMHEWLUMGOVKGOqxRT/HBYxHyGgy3HCEDTTu7aOcmnp5SOyHMEWT2gnyw8nximGtYyC8snKl9ZghmIJLUUoFnZvGeMb560lu9aARHMIkUudIRwdPeci0TURteFysBb82lVqJOhVUeV3sXupXLFIgFnf7hPEEpFq1ak8vErGurG5rk0ct5twAJeBT/r/MnbTfvwPEnNWRxCrunzfBuLZEiQtpn0zAbuPsLmjnESfOgh4W/cNSjfS0LFVOifHcoSty3YDj4crqQF+rOR+0O91XLGEuwjilV60JexFE6tTDR2Ue5ll80W3K3EeNnvJkkb67ibbymuvwwzRocT+iwTjV6zZcayb0SRhSJPjEsy7iinU6z4PUsCHiPzpBKYobxGLTSxjUHSj779CREULfi03MeXUi92LecKgK8pqwhS/yp4Efd7C7k9bYh9FPapZbSGiKxG3dH4R2XKJnwyx1qs5OcNreeTSMuwLD5goDy2Do9yhHCZF16sUMo8V7d3z/VYY3iRqGi6oca0j0AlFh3d8np4m1ulVDXMVZnjHsXsgZGcZm2eNsSrx+xix2MQq0UNZDlcV0aqzmeArNGDPWz7xnVAaOZNTvt1niPswlLiOeYJsp5yu2PBtRDqhGcs9QzT1KCZFVhJJFqeIIPqil6oHlsxhhCsxupMs6K3ITgKPh2u4UwP8WMn9ot9nCPbnOBb16kGX0qzGFNM40WlpClNQGQpXSzlIKAV12ukioKpS+eNaTPFmCG85R0QDpV6izSJmMVWVzxaDtNaPvYgp+WEsR3eXwnzXIqZkb2HK9J5/d52AOHPEOsITfu33CALUmP/fgkGSh4myEZVX3fP50v4SzX+tj/tQYk7BjIAg9KsEs/uYf3/If7cQToCenyU/1iRxHzQ/OcwJUPtKdZladUbxj9HPH6+b8UH+HFmaiQ5kd/3a1MSiKvGzTNzLJLtX5WFTqHUmVJPlUwzy5+nnD0qcd7/Dzxkium3xax0nSmYafJ5UmtOAGc5j2PPfRzCFhe5oO6EdMiSz/n8V5rjlsft5mWjGseDX1Ua0BZUBrvbvVU8+RcDcXZih6iBW+5Ijh8/pDaL7lsrARPQT96AVQ7bkLCZJkWLyw+aGacnH9yThTNzB7tdmJMs5jJy4E9lu4HG/EMPKJTXAj5VslV0sSXqBxccrzvdIMUIs5wb2QovdmyRIJQ1WHdErtgl7OVTekCHWLC2VP+4gcmHJl0XGeqsv0aQfb8qPqR67Q34M5XdrWE9Ia/TryGMKTSUZN30/RTkfEU5BxvdXbvauj1HogGqNbxIdiPKYor1DrPPa4uPtIvJnchoEKYq1PUY0Rsj7eNQs4iDRjUmNTW77/oKgxdTuIFYpaiQiMMGbiz6eaaCWC/wcA/zfC3LBg3yGC/wqAR3fIRwNGaEFP54IaRPE/dT86Rlf8LEsI/j3Av8DA/ztghKmQTq5wI8RdbEHiVIfdZeqIaBm1VV/5H+/Dzzrc9BFGKcFwlFZIqI/lXftI0qHBO2r5OjPsDx9M5aqyRAd2276fCjvWkfk7o/7MQ9gTkEr9v7NEw7gzcQYBNULMj9JQO89fp67/n8zEfmLiCVS2GbvVIMfu55oQnPY51D3+36ykLcbeNwvxLBySQ3wYyVbZRdDoRfYSLAwJ4mFvKeI3seq953AHvY7BPEDNmZQzxLGY4aAQ48TMN4ypfPHGYKhO44pxGksR3abrb9ESxSuxKKuU4IoFb1LwetVqfVzHqCw09ZHvp+cB0XYyhNO+/5V/reM2GGCTHSUWGJRBkbM1RsEUiCW9LNEAw2VHk0SLN3DxKLzOpfYuVBYPjROtPhsIgg9ecKASJH3EtFXjY953q9hiTwHOMsvO6P4BsP0eLeqZqLtZyNBOMr4eFQ6Mk8YH0Goi15XPM4wh8mu1VEr+lzx8/5P9PEOvfxvDHPFm2+0En2yZRDaCEh3nlhIYdLn9oCP6RnCARDBcMqveYRYyF4RptIv14nnW9Gvcvvdfnwx7puI50JchmWizeuo7zeBQeSqwb5FlJYtEc1Acn4/R33cQlb0fkDkjSHY2Jqf/X4f2ij/TiWddpEGjya2v+7zdYPyKaDdgn53EnjcD8SwckkN8GMlW2UXQ6EX2E6QqJqJJQHniHVnxSpeIqDUzeCpUuVB9wgSUy0Wefb6eWbZuHavKvG3orCNXqJyL3tybCr/2UdEDYqQazDFW0uQtpoSY7mNKZxJDIbbR/TGlgMjIowg915iBaGDfn4Rf9QYYwG7D0eI+mc5Rq1Ek45pYkGISSIyS+bpVYIk0tYqsTbsNEHKUo2zGnzI2Kthg/KUi0TdcDIKl3NR7SzmXv9/hTDyglOVj1zFjIb4Be2EYb5LO3Ne2vTu2h0d5Me4wK+RXxtrEKOyHPbGH2BlRB8jmOx3fe5zFLalFA8g49cySaAr6n6lyFylRhOYw1Wf2E9QudjiioDriOUz54iuaS2+7WTifnT4OHV/da9qidIiwe8jPp9Tfo05YoGOKaIESeNVDfiCj0/Gvo2I7oW0rFL6nSqGbjv9+msxxOCUj3ec0guz7Db0u53AA/ZCw47UAD92UglpIilJLzBHtLQbwRSb8qO3iMXXt+KxlisP2u/fyzAdo3D1H8FuOofGliNaQYpotNFLVC53PErknLWtah0VMSp6PIIRmJKweDVBsFFU0UrkvQ4RnYZuE6svNRErL9X6/6qzPIDdB8H5Im9JFrH7MOrnHsccmVaf0wXi/ggqP+zbq6RqGoNAa/wcQjREDjuYmIN5gmHdS8CLMniLhGEX6S7ZKUoENBGsRByTQyQyWqtvq/HtJyLWfV4zHMYXoJ8/ZoCXOcurRHoDP8+oH1twreZz2Y8rdrzumwyQxlyfOJ7QhTzmmEwQcHIe+EMsj1pHOCQHCOREpKll7DlqI+qGlUNWcxQ9H+JNCC1YIdIhchw/8HNN+f/aVs1bxnwck0RJ2ZjvI3JYzrdfpHDloX0Eg1n59+Q7VQzdNhDOZiXlRLsN/W4n8ICHt/Z5yGNrgM+cOcPLL7/M0NAQnZ2dALz88stcubL1hP+ZM2c4f/782v+dnZ185Stf4a233lq37Ze//OW179955x0AnnvuOS5evMjbb7/Nq6++us0rul+S9AIzRHOBDIUw8FYNe/L4ejmWiPKgLiLKvEyQefIYKaP45RknFH2xIc1Q/iUqlzsWvAumaKr9ePVYpCnCzbKPq53INS9gEW8HhR2DuohOPtWYMruO1diOElH6MoYGdPnfMtyCjnUvlon2lwcwRSijOOJj6vBzHcNe51Wia5PmYJlYMm4GMxQjRMTZ4t8fISJBOQoLBJtWEd68/24ilH8VkZO/RRhdwaJi+e7zORSDWUiLiGrtRLSdp48x+nmHUtLPO/TxTbI8RSwxOYoRqe4SrQ4zRB3sDEEkm/Rrrvdx7PO5GPFrzBIwsmBaRZsjxOIfOSIPLJa3iGIdBLlNZU0QUWYzQWK7SkSgs1g0qehT92GUWFISIuImMf+KLPW+TBLGVU1CNGalQvTcthCOaZ7CdIWep2Lotp4ghglVmKWwnCiJQmVYv1jETqHf7ein7Rru3ZPH0gB/4Qtf4OLFi5w+fZp83ggJZ86c4Zvf/CZnzpzhW9/61paOlcvl+PznP7/2WXt7O2+99Ra//uu/zte//vWC7Ts7Ozl//nyBwQZ4880396DxhUIvUNCmPheJZKceYfLluEs88HpRFW3mMONc6gVYYn0ULjhXTGB53cmXKEPkjnP+W8eQMbxMrA6D/32PWO834+OXQ7JI5IlHE+fsKhpzDaFkleNWhJfBlLWiRUUyY0QDDe1bT2GUJcbsIqaku4klIKsJYpWiyhUfYz1G0lGJU6Nvn/GfTv+uyfOtkwzTQXbNeRFsOefjU9RS78cRA14QLonvhTQsE/Xii0TL0DnM8ckQkH8jvWvEsNLSy/c9zytHZhTLO97Eon+Rm3qIOl3dM7GdxX+QA6RaaM3HMNF/ex/RCGTaj6EUTRtRt5wnnBuVJunZgWjxqfzthM/hCEGe+xhhFGax5/8UkbfXO1BPrHGMH0tpAX2n52WWwtWLBAerGYcMN4SDmSMcP1gP3c5hzkoL8XzIGCfPkXQMdI4DFNafP2gjuN3AYnfksTPAJ06c4Dd+4zc4d+7cmvEFeOutt7h06RJvvPEGTz75ZEXHam9v5+LFi+u2z+fzvPTSS7z11lvrDDCYsT150nJQ7777Lq+//nrJ7faGJL3AOQofxvvxMuiBl8FK5oEWKf8yFOdxBdPJuErhyBAlRSxXRSBS+FIiPYTyAlO4IketULgi0CLRvlGGTdFwJxFltBJwuYxpk49VpBspf43xHhYFfYQRWk4krm8/piCf9vEpymrxfecTx5Cxn8cMgSKcLvq4QS8LDLNKdo11PoOINO3UMsA/pJ+312ZjkD/HBf4++TVi1IT/dBCLQNQQjUWEGCgPqLkTdC+DM5U43hLBTt7n19jJMBvLMN3Ys/Q20fCkxeemwY/VQbC35ZQI3YCAmA8Qnbiu+/d3fYzfo7BhhuDeeT+v8sjVRM38MoFKqCyvM3F+1SDL+b2DLXOpErcWInUjQzvs560nVnSCMOw1hCM9nZgTPRvFDvUS9pwK9egi6suvEH2kM0RqRvdKdeZ6d69SWlcUQ856VgTvqy5Z966Z8qTOx0seOwN87tw5AC5durTuu9dff53z58/zzDPPVBQFP//882vwdbEMDQ3R0dFR8rvz588XGP+9Lw/DC9wK/JP0oC0vGGUrIgYpsnkCU2I6zhSmpBaIaKWeKDeawIxtA/bij2LK6DahXA4SRu82Ad1pbKcoXPx8llC8XdjcysNXnW89hTlX1XiKbTzr/zdihjhJ/FEuWrBvK5FfV05N9aEGbbczzwCv08+Hftw/8gUN/hr5NaekhgF+s8D4AvTzhwzwK5zlHxE9glcw5EDlMCtYFDTm86c5qCF4Bcs+F2LXQrRoVF551j+z77K0M8in6efbFMsgp8nyNHZPnvF5XCBqcBewaPiUHz/JO9DzIXa+GMfTxCIJeYIJLgJbNbHylp5LQw2iRruXWEVKMO4VYh3pJiKvqmqCbmJpwRHsOcHn77vEspEyrIKkm33/Q0R7yiY/bxOBOMjoFhOdBAnXEoQw5f27CWO+TKw0BnafBVNvRsQshqx7EmPVM5LxeRIClyxr3AlBa29L9cMewG7L5z73OYCSBjCXyxVss5nIyP7e7/0e7e3tBd+9+OKLvPnmmzsb7A+8yPDfpXTkKpEH3Y0p/COYMjhJKNUWol+uXmIpFXndIgWJOJLz393EikbdRMMHsUCniOXeGoiGDvsxpXvYx/RUYpsxooVlIxGp4NcyTcCBilhFyjqKKeIDhLFaIla2ecL//rjPh/J2rUTNr3KVABMMMJAwvib9fMgA/xK1TOzjHv38YYn5h37+iD6uJsY/nxjbPZ/bHp+Tad+uhULHQI7TlH82TiHTWj9iK/974I+4wF9hkE8WjGeQv8AF/hGRIjhGODKLRAtRRcMrRLnXEey+dRPOiox2LdFERdGsfqu0R8bngI8mgxlAkcxWiEgxT3Sn+sh/vo+R+lQnq/z4fp/DY0Qd9xxR/iQjJpRDBK19fh2jibk9QOTwq/wzpTmSIuj6KFFqddDPJ+gbn+cODIrvIPqULxV9XyqmK4asZeRFYBQpbZYg33VRuPJaa+J4tX6cp/znQJnz7n15NEe9gZw+fZrx8dLR3NDQEADPPvtsRcf61re+xZtvvskLL7xALpfjF3/xF3n11Vd56aWXuHjx4ro8b1LOnDnDCy+8ABgkXYqwtZEcOXJkw+97enq2dLxHW+RBi7CjEpM27MU+jEGGIlOJYdzl+4jdLAMsNmwXQURqxRRbL2Y05a1LeXf4ORSZtGFK7SCmtNqJvshL/nuCqAPVuW8ThkKQ+TJR57sAHKWPCXp5n2GmyfKjxDKLTUTLyAYCqlsgomwxtI2Q08cS/fxJyZnt58/o4xZZjtG7ZmBLSy85smtNOeoJhq8UoNjEIubMEyQn5cwVpWo+FO0K1rzi1zGKoOg8tznLefr4T+mlzuuKTxI5zR6/3ud8fxGGhAL8/9t7t9+4rmzd70eRlEiRUhWpm3WhbYruVl/27n1kqfN+oFYngAycB1luBHpIzoNsB0GygQRquf+AwFJ3HpKn0OjX6MGUHeAArTxIMg7OW3BM2733Pntvs1uibFN3icUqXkRKvFQe5vw4Vq1adWWRVaTmBxQkVq3LXHOtNccc3/jGmCu4gXwJZ3TbsPzmFEYpS0Og2P0kFgeWMriXwoUYtvljTGCsTBvOeC5jxmfOX5NU/m9hi2n0Y5NFGclnvl/VTp1bhnXOt28cUzl3YZMO5SZL5VxKYSwPWGlvSxgtLQ9dYRCxGtOYkHE39pwrpS7uFc/779Vf8xhVPo9759qxCZHSAEulQL3mj6ew0W4K86I3D7aUAY57qaVQilZOwrlz57h27RqnT5/m97//Pb/73e8YHR3l5MmTJff54x//yKeffsrHH3+8+veVK1c4depU1dT0vXv3qm5j6yMev601pqNBbBtG8/2AoxaVSqO0DnnS8pp1Xil2O3ADhFTZu7F8VHl0UkhLHLUDN1AcopAukzGZxhmPfv/7FEZ/vsCKZYja7MVSYeZ8258B3aS4x1X+mTN8v3r11/k55/mfyK2mLymPVPSdYtMSOrXjjMQS8ISB1SXwkjHAHGPkmVgtiJGMCY5idYkfYQrh536LbkyspomKck2PYIa4DTeZUTrMHswI9mAlQjOYIfuOMf6WsdXFPyREk4hwHouNdmE0/SHs/ittahtWSlNpbNI/KK7bg6P+lb+c8dsvRtooMZHUzjI82UjbJrC8W4n4tmOGVpOCJd8P9zBR1CI2EVGuuqjtbZE2S/ksEdcxbBKqCVopyBMFmyB2+PNOUBiXF0Xd59uniYi81JS/rm5skpbFPS/KXljB0qQ0SdB7q0lAVKAVTyvc5Y+3FyvgksWU+c0TVNWDLWWA1wO5XI5PPvlkVVQ1NDTE6dOnGR4eLlBGC59++im3bt0qMLTvvfcemUyGa9eu8etf/3rD2t4aiCsg64npaJDVPhoE72DpO1J2RmfVaQpTXtpxL/hjzPuRF7yAGwwymOJ6O25AG/K/vY7Re/LyHmGerMQuouZW/P+/xBTPvf67biw3VQIluMqfOcODgqs/wz9zlf+Dd/jvfJvT2OCt+Pf2yN/7MMHRIhOUn5hOeBXzGANc52Ri2s91/q1fpi+Do09f4LzNA1hVMgmGeny/7PP/FzUbHUj7sSpS6q89mKo2jzERkzjDtMtfq1LWogp4pf8cxijXjsgHTIwmtfMidh/0dw4Thum+SN37DGcslU/7BDexmMOUztsxCj2qdP7W7zPn2yhvVqlYou2XsRrgSsuTl6rrGsDitPLYZ30/78NEZcuYsrxUJsMMtq63zr+Iu8cy4Hp+JCxcxt2PaA7xPIVV7lZ8Px3EJrqinJ9QmH87icWTl7AQUFScGU2B6sZqAYjC7mYzmrPN1+IyWA/h08jICOl0ejWl6fLly1y6dIkPPviAkydPFnnCpdTOIyMjfPDBB1ULwI4cOVL294MHD/Lll1+W3aY10Iike1Fyy1ieq17OGdwLLIMkdbS8E51bgg4ZLHnTynNUVSrFo5VWIu9DNJwEWzK08nhlNLJYulEbbrDZjXnlYgAUE3wL0evHGC8yvsIZvuUYY74Eo9qk1zePCYRyGE3qcjHHmOE6RznDeNFxr/M2Y7yO1q49z//AVf6vAiN8nX/Lef5PzCvrwGpnz2CDZBrzIhf852tMqNWPTRTUf/24wVw0dh+mGO7AGaefYnIV5ZbmseUipQCW0G7Sn0fisJ7Ib5r8SAk/7Y+puPkL3D2Wx6e4qoRzk5H/d8Equ5DHJhoSWI35fX/A8tYVP+31+0l4pNQxCQEzOOM5gfPEtS1YUZNFbEIQNWgyYhK3zfnrSVPMQC3h1MtvYnFvTWQVmtEkSGGHBUxjoEnNfiy884TiXOR4zq90GPh+mYi0qRxjpndcz5v2n6f6CX3rYEsZ4EpIp9MAZDKZ8ht6XL58maNHjxYY2Y8++ohPPvmEa9euceLECS5cuMAf//jH1d9TqVRZAdjJkyerMsD379+vqo2NxVqo4lL7xhWQ8ZhOtVjCage/6b8ThZvHqGdRjxog8ds8xgxGG24QFB2sNJoHuEHwHzhGNwPMMsE+xniCeb/9GC34GDf43MPyJR/5c6ovJNrSrH0G84wV51/EUcXygpIxQIYxBrFYWhbzkCRy6cJSrGSUX3KeX3KV5Ri1/W84z7/HeTtOMZujm3f4XzgGDDDPBIOM8RYmpHqGo9Zn/P8lftuNLVko+v5f/e9RWrXXb9OH0bWpSD/twMRaihvKGxLd/cT/ewirwfwCW5HoADY5EoWqHO8uzBPX9spvVqy/B1vr+BlGrc75fnoNW/FLEx2JAXfgDK7itvjf9KyIATnoj3UIo14fYwUsJrH1cndgz7Vi6l2451Wev+Kz8xhjJAN6AJv46FruYe+hjHA3he/vrsh17fHXO40xUUolzGCV1URTa1ImVXYad0/lsav/xIgpo0THLTU5n8EK5igUo3Sy+RL7tC62nAG+c+cOQ0NDib8p9vv1119Xdaz333+fCxcuFH1/9+5dTp48ye3btzl9+vSqAR4eHuaDDz7g6NGjJStuaRLQelgLVVxp36gCMh7TqRXKGVScKOpdTmEGfxlXru8Nv12f/10e0jLuhc3hjKYrepBijqu84MyqMXzqV9Q5Sm5VZCPIE5Dh17knsEUY/g432B7EZu73scFSitkfmFidWCRjgiHcQChPu9Pvr8mFBv0lzOtPAzPkWOEdBjjG6wzQzQSHvZBpAjdQf4/RqCcZY4Axfo6lgzzz5/n/cIPsEqZyzvl+PYw8aaNv/7Nv0zGcJ7sbEz7pWtLYRELUcidm6Powte5jLAYr4znj2xil9hWfVHx8JxZ33E9hXH63P24nJtrqjvx/ElPkigWIagHE7iiFbBATnCkNay8uZPIaJuh64v/OY2EEUeeduGcHf/0Shm3HKOFfYEscfo+lTU1F9hvAlqqUUv0H3577GIOQ9K7PYGxOp//9IDbp0iRMzE4K0zbonV/E3lEwun0HpmGA6tOOFB5a9v2sbII53P2oJbTVfGw5A3zr1i2GhoYSPVHFcT/99NOqjtXX17fquZY6V/z4pRTYMrxJ+cmtgbVQxeX21Wxc9Fg8plMrKnnUUYMvLyuNDfTzWPpIB5aW4uLIVxnjTOwFPkOGq/xHH4OVtzSLiWt6cAOcBk+lF/0cp9g+ghs4v4+0VQIvGYqfMEaa67zJmQQ18nX+ljF+FrkG1e59getLeWcqmtCOxbZfQ/W8x8gytmoo5vz2UtPO+rMppeYJ5l1l/HY7MePf6/tvD4Vr3O7HxYdT/h488R8JqLqwAhGd/pz6TYOycpt/gt1TiapUBGM3JrDK+/ZFFbrTGMsgdXIXJv5ROEKen2LBUvROYwVFpnFeYh9Wt3khci1zuOdgElsp63W/3QF/r6Iq5SXc5LAN9yz8BWMuOny727EYagpjDzqximqd/jhiVp5g76ziz69ji4eo2MZ9v+8Upd/1Jcygyoi/wN6bvTiDp32eYmlh7ZFjgGUoKIy07Lcfwmj4bEJbSjFrC6hYi1Hy0Yn45sCWywO+cuUK4IRPcZw+fZqpqakiCnhwcJCzZ88WbX/z5s2yqUYnT57k2rVrRdsneb/vvfceX331VU1lMDcWccMm2q+aOVq5fRW/ncW9PLOUnqUqBriP6nMK4x61YpLKw1U79uIGwkHcQCJqctL/+5RjLHNmNS2mEGe4zzHu+2Mu++PncMbm5/7zE+Bnvu0/x6pjKQ/4DayOdQYTwChN5BDn+W+5TiGDc51fcJ7/FVukQPFLUW73sHxT9b/ylntxuZJv+PYt+2tQDFopWf24CcIdrBay1KlP/UdG/ic4z2rI96Wu84j/fpc/52v+uwOYhyPvVZOG3kh7VSRlh/9eMeOU7+cU9oz04AyaaF6lmj3y1yWmYhpbyWsbRgP3+n2lgtczdxjzfNOYeKgPN5nq9edW3utuLKWty1//IdxzIPXwfv/doL8Pe/2+8i7l9XdgKWqHI/0sAyrFu56nXf6cmuD2YDm0+zBWKo+p+Fewil57sFzsUu+6aPjHmA5D5+ykMD8X7NnUc6W0rztY/e3o+ysTpLSjaFv03vZiC47sjfxW73jVOthcra0Cd+/e5cqVK1y5coWRkZGCWtDnzp1LzAG+efMmQ0NDvPvuuwUiqnPnzvHVV19x8eLFojrOw8PD3Lp1qyC/9w9/+AM3btwgk8kUGNqRkZHV47Uu1kIVV9p3ifKzUg2q+ymksRdwXsdCZNu4R53H1KZ9FNJiHf6Yiu/dwdF2Uk4+xIRYOxlYVYImY4D7jNGBFc3v8ud+HVszeBn4W9++FGZYRA1PUziAtGOlDLeTI8U7fMAx/soAbT4GPYAVl1ihcFGEHEb5PcIZvGV/zB5suT1RnRnMazyE0dgvfbvnsfScPky41IcVLRGVC1b4ROKpXZG+mcHyqqV2foR5oStY7u02TJwlUZWL5x7jWwa4xwSvMbbqZbdjqw5pUqE4vDzSFMbIZH3bxNYoVq7CHUpv08RFbZvzf89j9ZCVaz6N1TJXmptimTsxRbY88X7ce7ASuV7F8p/iJg6aGIq67sE8ZtH6UnFP4jzZPFZRbQ82aZBqWrTuCwonLHnchEATq3aSRU96nzSJ+Z7ClcGEOBO2C1vXWuNCDnt+o4IxKB47yjFrjQ5tNQdbzgCDE0p9+eWXXLt2rYBCLhWb/eyzz3j33XeLYsO5XI4TJ07w/vvvc+PGjYJjlVoN6de//jWXL1/md7/7HeCo56+//rqm3OPaUc9tjFM78xRTxVLa7qO8KGstNLNmuXtxg8cRbC3VR/73b0keELpwg6xyDEWNRWmxXpzR2IPz2GSsZLDSiHac4PWyLZ1gHudtLmLe724sXvgaVklJlYek2hU9nMMNYDv8vjsxkZLipzDGEGOr1/XSt38eW0v5NpZ6NYvll4LFpaex4gY7sHxP0ZnLFNKxMgoyqjI+eUy1m8IKQeg8TzFvaNa3U0akH/gbnGAoh3tGROPKiIOJ16Rs7iTFNFf53ziDTWav82PO8+/J0R85l9TMooVnfRu7sHQc5fZm/Xl13S8xml0x2xUKK6G1R+7XfUwBrjjyEkYJZzFjvg0rRwrmzeew1LmH2LOtZ/dA5B51YZOEDIULPDzGUoiyfrs3MO90EWM6NNnrxr1Pomp1/GV/PIUVoiyV3rkF3P1UTDputONeqcIJSqnSmLKAPU+TWHW6+NjRFzteNNw0xfouJRgfH9fHVOopC9hkOHz48GqxjiNH/ob79/+5hr2TRFOL2Ao5etiS8vHK0cf1KKj7cC/jEM5LGMDiaY9wxukfKF7Yu8Nvm/LnlcApQ+FqL104gVU3Ju5pw9YXFi28HWjnT/w/nOFOUSuv08M7/MT/NePP9zO/v7xqpdY8Bf6JwsIQMg6PcAO4vAMZyNf8cYdwxmoflnP8HBtYl3Hx1XmcMYgOPBICHfJt2kvhMnr3sPzWwzhKNIXRwRP+XJ3++wG/nfqsPdbPWeyZ6fF9s8/fGxm1J7hn5gUWA38LSy2SiEwD+SFUyOJP/CGxgtd1fsw7/D1GB08AWc8aZJig2y9ReCjSf3lMB7APYwiWfNuyWF1mGdecb7u8tnmc8UphazgvYEVcFJdWYZVBjIbWpESe8yKmRJ7x9/SJP/ebuOdiH7ZetCjaKdxzIxpf90ATwrQ/r1TMd7ECIXsxViRK+WvC8dIf/wmF7xAUjhndJK+aJno66rFKfS59QdKYkqVYgS02oZdiD1htq3fMqYTi8fHw4b3cu+cctCNHjjQsS2VLesCvHtorb1KAUtRON4UKyvjLVE6UVYlmLgXNmlcwSjCNmxl3R/5+GttnL1aUQgZOL0z0sV7ACVwOYjSw6NzXsYIcD4DDnOe/4Sp/iqXr7OS8VyoXXu8D345HuIFtD+ahqkgBuIFNaSMaSOUdzPrfpMa9h6VoiFrtwAbRJZzXlPfX+hJngJRLuoR5aW9giuMnvl0zWBWtNpxRkDioHaN3NaA+wsQ3GiQVU8xgKTcHfV/cw2K4uncSoL3wx/8eW6O3F4vhgeLhx7hdpnzmXzjGE8a8AjtFjqv83wUTp+v8lPP8z+QKVsLSMyYWoxerJiVqtwejMiW2U5xUFK/o370YUxD10BSb/guFq2A9x6jcvP97AafWf+HbtYSFVvpwz4w8vQWsqMtL7FkT9a5YfnSCKS98Akvjao/sL1q6ByfE6yE5lhpnnl74dolJyGBFPOJeqSbtpcaU6LgTRSVmrd4xpxKSxsf1MZXBAG8JLFfepABxqiiuJK52m1LHrmVWKoM4hxO5zGKxojasQlAUekE0GOz238+RHAdawHkC0TYO4AYhxW27gCw5ZniHn3OMXT4PeJ4xJrFyi/FrFU24FxOaLWGxr25sgJR4Bmzm347VRE5j8cEfcAPAAha/3IGpXUXxglGeMipPcYbiB1xfPvDXKIpZal/l3LZhtaznsFSfdn+cDizXNoczys9whSZWMHpTBkoTKvx5s1jZzg5/Lk0eVEp0CYvnPmagYLJTjAH+yS+nuOCN73jB72f4V64yzDtcwlJ+ejEV+22sHvdLbHm/KLXbS2FxCTEcB7AlDicwD7cTi2cv+H7f439Xvq7o6gl/fyRQ/I5CrUO3/70Pm3Blcc/6M38+Vd0ShauUrGlsfesZjB3J+f32Y6Vbd0b+PYSVy4y+Q/F3esH/LaW8mCXR4aXe/+iYMgWrRWWyJI8TS/63g1gI5WnCdo1GqbFvfc4UsOkxW3mTAlQjYKhW5BB9OaGYYqqUS6xZ7hMcvfcGzhDNYfHNbMI5O7F0H7Di79XEgZaw+Juoxj2YYnbcp+tEB5CkicWUP4aMuOJd32GDnOLMS/7fLM4APfbX/RDXv7si/SVDOoWtH5zHGbwUJp55jjP8/4qlVskLkpf60h9rHouzvo7r3ztY+s+c74en2KCqYhcagA5gVO6Ev9aXGKWb9n0hj18TtufYwKnJ0gL2XCm1Sfe6j4nV/O1kTPATYIFj/DmxwhfAGf6BY/wrY/wUS5957j+TWD6uvP40ppSWF6nJrWKXYmX0zPwYN9mYwOoZa9L1APhHXFhhCcsjnsLdixxGXXdRGNfP+O9kdPb440VFVfMUGgjlgy9i+baT2DO6iNVhbsOU2Puxdz1LcenHKPW8E1ZFgZrALFJYja6UV6oxpR2nkle8PZrSFDf8aYyN0DtUbjxpBEqNfY1HMMBbArU+jNWIpqrZJh4rUcwTTGVZKZc4Sm19j5UglIHNJuyrF0QDypxvl2J20Rl3qdm4zqtUkme4wewBzluODwR7sUL0USpTA84Df/0SYy1hlZXkVR3GjLWOK8ryPi52pwFKkw95VhrwljDBFv74JzHPVr+pXzIYi6D70+t/l/BqHqOUn2NrHr/AhF+v+d+nsFzZ7shH1ObPcYN7j+/vdr/fIs4A7cbScJYxilx97ERYYxwosw7w3zHmyz4OFHiNxRjgEWOrec3y/H/AYuGHcM+I4vPyLKdxjEweJwyUB5TBGexD/u88WkjDPat3scpbmqQtYlXUdmJsxM8wKnjW//6fMeMtSlfv4SKmJQBLn8pHfnuKhVsWMJHXXgrf5RRWolJhDhUzib5DYpv2Y6r4bf5vsUISRFWa+GpMeeHb1oMpyEXnP8Pe03Iq6PWgnuPtjPbXgbJ71ItggF9JRI1eKaq4mm3iL0gaS624Q/W0dXTW/LTCOaH05CBufONCs6g3rmP8FSvUobSn+Pl24QbYoxjd+gyr/COvX+rtFX8MDZpdWCUsGW9Rm9v95xCFXi/+e4lupJrtxtYD7sUNmOrfff53Ueo/4Iz+M7/NPczjk+DoBbZ04vf+t71Yqb9FjJLtweKPbdjaxzuwNXH1m7yjeb9dDktXUpxT8cYpTJQmSn6J8/w9V/nfOYMJDF1O9N/7/X5gYlVNm4wJpv21LWDGrwsTQGUj7ZnD0mM0QejE3bsOLF4/4/tuESviMoMVfYnTuIrni+p+APwSS8+R9ziGE6j9GTNqO7Bl91R05Rn2rsUnx0sUhluE+LusMEkXzkincRMQ9YegSaKYojf99+24Z78HU/dXcgSiY4pSmjTx3I4ZZr2n9YbBklBLaCxp7Osrse3aEAzwK4tqBAyVtom/IKIXt1F/bl617aplciBvbQaL20U9YL0G2RJt7cAEJDtwdGAv5g3t9vvJm8viBrN23MAilTH+GMqjXPHH6vPt3IFV75LR0MAuRfRbftsuXJ+/hhvc0xgdLCXzS39+CV2W/PZKZZHnpcHwkL/WO9hA14YtLdeDMxKvUbgWbBtOcLSMieNmsNjuErYK0Q4cfS7hWQ6rKKaJTBboIEcb7/A/coz7DJD1dakPY97+Hsb4Mdc5yJnVdC/DdQYZ4yBuAtGPMQvdGNuAvy4ZgAwWCx6g8L7P+OtcwdS9/4ItvKF4qyhgsCIkUi534oyY0ow0WR3EVN1gDIRyq8V4aKJX6fmPI/5e6bnPYeVE5yPHkMFKY2lNu3H37BnGCE1jKUrE9i3HPCml6TCFNbv7aXyub6XJeBLi/TVQ4zmrb1lAQJ2IvyAyMi+wWFU1MVmoT7xVzeSgE6vK047lCmvGLk9PVHBSLEpe/T6svKM8JBWs2I0bxO9jXu1z38btWKrUvN9eCuE+zGh1Y+sDR/N3n2Cr7Uhhux9byF0GtofC4vR7sLzSBZzXhT+W1K+TfjvR1zmcp38fMwY9GM2axhmBcdxkII8Zh0lsZZ29WFy9E1NRy0jlMZpUXqeoaJVTzAHtjDHpF6GQ6KwHEyf1cZ7/mqt8wRkmVu/YdX7Ced7115Xy3yp+qfxnKcCVHpTDltNL+X8lnFv27VZf3MPWxBU1uoSJzF5gaWC92HKBKxjV2u2v6W+wKnFx0aHYjyy2qIfU8Eo10rtTTRqOtpXy+TmWk9uDKfRlsNpi17/it3/srz9L6ZhxKWMXZbBUdSw6MdXkb4pkpqua8SSKRlDZtQpdq0MwwJsd337bxJMnUcEa3KE6QwrVz1BrpZEkiOnBDX4S2jzFBEVStspDSXox51EZyGMsMUDO55rKm1vCUncO+X1l8PHHfYSJnXbhDEEvjt6UBzCNpY7cwRS18jR7Mc9zCueJruBEPstYLFN9J1WxVNOafGzDYsDzWJxyv2/vY2yhAOXqvvTH7MTdK6nIF7EymI9xhu0+liP7XeS4bZiSOus/bVh5xBdYMRHR3s+xFB4Z0rzfz6nEc3TxDv89x8j5FZy6vafcg8Wwt2FKYXlzElx1YEVBHuEoYuXKLmNes1iHKUxwJ5YCzGPswJ45TYgWfLv7/TVKt6A4+32cAb5NIRT+2I2VLFXaVK1eXXwfxfYVGnnh2y/qXQYLTMU/iT1Pedx9n4qcsxpjF2WwshjVLr2EvNxqmK5q0Agqe7bGc1aHYIA3OyYmKm+zbmjUC1LNS1vrgKPJgYRA4AaaFM7DU7xxwX/3Dcnl9ZwSM8UCV/l/OROJr13nCOf5r8it1h2+g8Vg2zHjpnSLWUwNu4fCBeilCF3EDYQHccZAlPYBv6+8ljew4hVS9nZgRlK06AK2EMISFvPbjy2gINX6Q9/OPcAJf02z/nrmcIZJg2YPZjin/T6KTyqvUx7hSuQjsdI8dq+XcQZIauAdfpuuSL/MYGVFd2Pxwj6cmGmBMbq8OEvGVozDHqzekPpE+3b44yr2rRj/Ao5eXsZNfKSQn/d/T2IlIvdhXm8aK77yFEv1egvLvxXlPuZ/n/bXf5vqB/py70zUM46+k/F9FHcXM7E7st0yhQZL17+QcFywyfFr2H2Twj/J2InBmiG5KNBMbLu1YAnXP1ENQjUx6/gxGo9ggDc7BtYnNlE9GvGCVDNDrZVG0uSgO7J/V+RvxemUw/kGyTmQbiC7yr9yZnXxdYcz3OMqK7zD3+IGm87IMRS7exNTypon7YxND2aQpSyWgCuLE9PsxhaT78AoO3mS2/25X8NReCvYWrjzvqXyBCW4eg036C1F2ixFdD/O0CpGvQ9HN4se/4tvxyEs9WUW5xFvx1JwUhj9/gg3AZjEaNdO/7di3yq3mMJKb67460/73/t8G5WS0o8Zwjnfz3/FGdQOrGJTzve34pyiup9jcWuFIKRWfoCLy05itPBLnLBtm29TGvOkt2HrGnf7tijOK6Mvb38FW/7wv/h+khBtH4a9aD1nE0pFqd6kd0YTmKSJanyfPiyHWMeQty1D3IEZxQWS37Xo5Fg5waK1tW85pqoRk/hymMcYG02CdkGCbmCjEQzwZsdPftLsFjQAoovbcXSqChbEU54qGekkinoCW/f3db+d6MbooKY0nEUsTusGlmO0c4b/ktjyMzzgGD9lbDVtSp6c4rrb/fUcwAr3a9B+gRuootT9Ayw1pQejh6WGlaBJXlwWF4/M+P+vYCUp+3xfpbAFEb7D1sOVNyO1sqpU9WEVjl74vk77Nj/H5R3PYqVDf4wJqqYwdfgCtsDG9zhD9hYmJDrg+0OinhkKY3+aIOWwe53C7meb/3sJE8QtYlXT8lglqmnc/d6BxVWn/TXIGL70x9YE4Wnkuwym9s5jRrYdS73r8dtJ+CfDl4605w4urUlFVrZTbMB2+e23RT7qh6hQKkmgJOFb0kQ1rtlYwoR6+7BlIKWNkMGaxLzSpHcsOjnehsW8l7F3qlzcthGTeCGpffLwxfZsx3Ldy6exrTeCAQ5oAUjcAuYhKC6kF6mcIlIq5f1YnG8eGwCzWHGPRSx9YhtucHmCLS4wj6252g28xkAFWnCAJcZWFa2HMao5jRmxO1hxChkKiY1kcKNxTw1c8ozm/DGfYiUkFzBadA5naCZ9X4iCVVx1DmeAduE8uyW/vYpLyMjlsBKHf4ObLCz4YykPWgKeQ7hBVwpjGXrdk/1+/05s1SoZaMVQe32fKda5B2eYJcZa8f/v8NtL7CRP6z5WrlF54Pew5yHvt9FkaDbSh21+nzkc5a8J3n1/vv7I9hoqJUqaxiZEkzhWYQemlpWobje2AMgL3ARkBaPEZfgU/9d+YCVTZ/0+cWOWJFCS55rCnnvFs6VNWMaM0jZszV/libfHtsH3KySHgRTCaMO8SqXbzdJ4j7YUSoWpdK+VPrbP/91889f8FgQElE25EMWcJPiSt7rXf9LYADOFGThwg+wO3OB6EKOEf/D/KpasOHA/GgwnClbtKcbEqpGR95GmsMKTjEEOE7Es4gbtB1i+75Jvj/qgE2eQZHCeUygO+h6rS9yDG/zk9ez355ZR3Ulh4YQujNKOxkyXcEZxN1Y0YR+ODpey+6DvG12X6GzFDfv876JQlTvbi60+tB0rcPEEK3YgBfkcVhN8BrunB7A85me+nUrzmvWf+1jlqzSmFld4YM7v/xJL+5rxfSQDmMfobU1serBJ4V7/bxeWxiVxUtb3ywrOmG3z2ysmDLYgvXKBuyP3os/fC8XkJeKKG7ModSvspTBNLCrcimOJQuW16NmdFMZ+NaGMvhtR71o0tSbHixQvirIRKBWmirev3nSmxiMY4IAWwnNsbdQ4xVwqVqSXbi+WR3mXwqLyGjDTuMH+IW6gEYU7HzluGpsxZ4HdjLGN6/RxJmEwuc5+xtjnj3kEo7jkMYh6xh9PHrkEPO24Ae8BjiJXytAK5nX2YulIGoyzWE1mTTI08LRjIqad2ORgCCuYIa9V/SjKMYV5wVIHT2JlLBVjTGEx6xxuopDGUo4OYfdkDqNnwXntij+KksefX/dNhmEFU0b34wzCCyyO+2esyIW8Ud3vHr/tM9+3EpPp+dKkQde2F2NOFDZYwOp86/k8gHmIirfn/DE0yC9j8Wv1rZ6FWSw3OIVNTsS+KH69119PKWMm6jbq+fX6fZVGtRjZfhf2fCjksxw5zlJk/yRDVSoMNI8ZuyQh1Uah1dtXjGCAtwSaeRuTYi71zCzLUczRbaKqaKkuu3ED5mOcwnk/tkYuGP0YrWM7jhWBj9JWor7BPAg4z0+5yj9xJvLSulWSjmKGYhkrGZnGFiJYwqosabDfReGKMrv9tjpWu2+XvOuXOM8TrGRgNtYHMlx9/t+XfltRuoex5fiUe7mI86QnMTW1PNW/YhReL0bFSv0s4ZGMtWKN23xbdT+VK63YrAZ+/Zbx5/g5RqsvYgZeArV233ZVUPoei7tDoXcqmlzhiay/th5/Hnm+/ZgR+xdcPFv3YwGrbNaFu68a4GewMMUAtsSgJhkqLPKDvz9RL1tVwvqw+uBtmLemfpmlmHauFIPtxTy+Sd9XlYRbGj9KsUxRRXIprYZCJeslpKoGpcYQ9X2z21eMYIC3BPpxg1ClB6pRxjJ6vKSYi+jcWlDp5Y+f9zXc4LUfK7DRiRmxLGaAJXZSepBEPvHBS96B9plBtHaOFd7hDY7xlAGeMkGbzzWVJ9uFxT+z2GozGazSkPp/BhO0qKbuLJZbqdxfqaRfx8RKihMv4vq+DVPeHsJo5ucYtTwX+b0Xy6uVwGY35nW1YYukg607KwVvF2Ycdvj2pDEvN4/lXIsG1TOhflXfi5JN4SYJzzEaWNXAXmIlE/uxuHiv7zsZdalu5XV2+/bexSpOpf1xB7F0K/09iZugyJAolUaq8w5MybwNizmn/N+Kp8tbzWJV0mTg836f57jn9wiWmz7tt/mrP1YGK86h97RcjFOG9QlWOEMio51YzLmHYnWz3tU4yyQodWee0loN2Fi6OQnlxpBGCr0ah2CAtwQ0sJd7wBppLIVaU4PKoZZ0hD7cgC1PpxtWa/7OUFggQIIkKUj3Y8UjNKjFvYLn/hizuAFYxRtgjE7GVj1cDUoy3I+wggX7sNigPl0UlhuUOGe7//9j3+YB3w+H/W/yJqXM3klhTen2yPl6/bX1Ysb1JS7NahZbrEH3R16W8mun/Hnn/XZSdWexdX37cJS54s9/E7lP93F5uTlsfeDeSJ/KI+ylUDCX8/dGFG0GyyWVB4/v259ixT5U6EKx0heYEQKbFGiC04cprKX03unb8wybECmvWaU892JLGmpgl0eseH0nFh5Yxp6fnRgt3eGve9p/J6V3L1bG8gm21GD0HagmxtmNGZ2dGK0vGr+DZHWzkERrx439Dv/bIlb7u553vtGoZQxpDQQDvCUQpZFKoZHGUqhEadWKamepaaws4hQ2w5fiNfrSiZYSpZnBFjeP/h6lrWQEwBmGfmyBdA1Mc1jRAQmJcjgjvBczkoq7pbAUlWV/bOVg6l5I7b2A5e52+O36MKXyTlx+8UMs3ivP7CUu9UqirW4sBqrzzfv2TGAelu7bEFbqcBFbqUkG8g1/nme4lKZ+bI3cLixNaA4b/Gew8qT7KFzHdhlLD9uBFfmQ4luCKPWzJj2i6J/6vpBw76Vvq3JtF/3/ezAWZCfu2ZFA6QHO4Mob1LVrstPhrzePCb8Ui89hVa5UlhKspKgmx6Kk5UV3RbbR5GoK90w9w1Ll9mKT5FLv26K/PrEU32PUuip4iZWQUdd7VmoCnjReTOMmg6Ken2Bq6+am8xha09MthWCAtwSqUfQ12lhC5bhtoynvJGjQeY4NUqJ5owKjUtR2ud+l+uyksJ50J47ObcO97NHBTTQuGFUp0dBTihcieEjxvVDKSD9WHKLH/38Q87S7sJzlbf7/zyPXMY8zkq9jy9RlMaMoelpswB6M6t3h2yCltQxLlHrsx9Gor2GiLAmOnuOKTLyJUbgyhA99/y37/URti35ewmKwO7Ca0eOR7eWNvYYtXC8j/wwr4yn6Wmk2r/ntxFrIuCuurhDAor+XUm2nsYnKI0x1rdgwWDWyHRSWPu3E1N0KMyxjIZE2//8+LEVOhn4JmyQnvW9K73qB0e4dWGEY5STrPcz6cyrsUep9TBov0lioogent8hiy2QG1IpggLcEZGgqbdNoKX4547UelLeQxURLnZF25Chc2F7nKkdLlftdfaYBR2pdGYc9OK8qj6X2LEW2z/rjyij+CEtLacMZL4mBZATBYn/f+e3f9PvoN9HuivO1RfbPYoKgRSz22osN4m/4Nu3Aii5I9Zv2557GYn4aqONpYimcx6y0ozRG797GVMaiO3Xtb/h25XATipT/5LE4r1KVlJ42hfPAox6k+nEfljMrql9pSzKKorFF0yuGfc8f84H/fRJHocuQ6piiuadwBukHTP2dwkp7inpO44z0Ycxbv4+bBE1ixn3W//+2P88j3D0ep7g0atL7JuMbjbvj+yDn/+7HnpMj2IIh5d7DpPECbL3ku/6aNWlpvqJ4MyIY4C0B0ZflUIvIqVqUM16lcgYbESuSiEqzflGT7biBKH6uJFqqGu9cfTaDiZIe+3+VVzuBGWbRcLtwg/wh/7e8yShV2IdRxNMUlsZbwlYVeuiP9QLzQEQRL/trl/G4R6HoRP8u4Ab9ZzhDlMXqNXdiRSi6KKzT/BKj6ztIThOTiEq5tp04oyT17nMsT1gUMxTS888xL3UeSx1ZwjzQDsywaVvdE8W1F3BKZpWdTPvf0xil/ABTVrdjOcE530dtuBrNb2LFTjSJkqF+5rfRPThEoZctSr0Xmwjuw5TZP0T2FZULxqjkKF6YQM9rm/+/8sE14YuzNPM446/JyIy/PtH/u7GiLeWe/bixF72viVnWt78aBm7zxGY3CsEAbwlU8yCvl0ChVMxlPSjv6DlFA3ZgubvRAgJJ59IgoFilqMhy3rmEM1HR0xxW2m6H/1ulFxWz3e3PA6ZCnqewjGIvVgowXhpvAWeEe3GD/hHcoH8IE/fcwQ32nVgsdxYT0UTVrO0YXdqP1VnuxRTaEpt979ucwUolQrFHFC2SIdpV2ykW/NwfV+d5EfnuMU5wJvW2Jms7/HX0Ys+phGWKrecw8VJPZL+/9cf63rfvKZZONoPlGYv2ldEVFf8MM7zKxX6B80hXcJ7qo8h96vD3br9v206ch7kLK/DSgSm+NSFRbnU07KDiIdNY0RWFEuJsUtTrjNLCUepb55zHaHWxC5r8ydOPP/tJ48VTLJc+OomvNKFeTzZscyMY4FcKGylQWA/KO378qcj/eyldQAAKB4G92OCdw9KFot55dPtpjIKTJyHxjuJ7O3FGo8Nvu4QtPdiBUZjqD/y5H+AGtb1+u2jKSRoTzWSwdXvFeIjmnqNwXdb4gJf3++7y/5ex7cV5zaIxJzEjLGV2G051LBHOdOT3dhwV+bo/nwpdSGS2E8ujlaf7A+aByyOdwHliu3zfqM/k5a344877/d/C4rdiJ/Zg1PQLf/4lnHc/h9XOVvqVQhcqtqGJlSYGff7a9mITnrsULz6vcEAeZ/T/DZZSlcVYjZ046l1tG8O8SMWGV7CCH1JuJ6XKRRmeJJZmHks3U//fw0qg7qA0WxRF0nhRzyR+PQSgWwPBAAesE2qhvNdKT1VzruggkMbSV0R5Si2qNnRQOGiAiZGyWF3l/f43KYaV9qJB8AFuMF/051SseApbDxhMWCTV6y5Ui9qJXXpxBmISK0PZhhl1pV0t4YzYXoyaVV6xYpnyfjpxNOWMP14vRv3O4wxGB1YvWKk9RPruMc6Y7MR5sorbrmCTsFmsPKRinlNYClIe51mmfZv3+GMppUZxW6nCc5hHL/Gb0psk2nqOeYEP/HGW/fUqLUzXozzeXt/vT3w72zHjNoNNxKLP1QLmJR/DSl0+9ueWAZaafJf/9GPCt0V/nO8xlfgyhnJskjxVxX7F8OCP8QATZ4myjpebrIWZqmcSv55s2OZG6IGAdUK1lHe19FQ5I13NuaKDwBMc9dmOM6CKwUpktIjRlvH84GgKh+K3/VhO6bTfNyp+Aos7SsjTjuWVSuG8A1Os9uI8vTf9b/JgV3CDKpjBjV5rF07spapI3+OMWQ9u4FW87gjOUDzDDdQqaqGCEJqobPP79uEob1Ho7f6a23HFIzqxSUmU5vweExzJ+5EH2Yktxbfk9+/AeZFLOGMpxkCMgyYgO7E1j3f633di90x9L097AqNRdQ0HcYbyTX+eQX/96lPdQ6UPPceWQhR0zU8wWn8JWxlKinawAjIHfNtSkb7pAH6CFevIYzHkZcqzSUvYql+TFDI8msSoQEi0X8oxU42M2a43G7Z5EQxwwDqimtlyNfRUNUa60rmig4AGJQmjlKO5A6OQ45RxKVpbRn0K5zF2Y6klM5gH14kpW1/66zuIeS73cINzJybCUZnDXpwB/iu2GpHyL6PowBmTHt9f3ZHt5jChVR+2NJ/SaWRgJKz5GZYGlcMKO8iQK61qH+4+/AVn1A/hDJHyott93yh3tDfyfTT3WZDx6sFYCqUm9WPe6TPfx/04wyyj04OJzkQ767j69wlGr0tNLwZE5+nAirCo31VlLIoFf+2i7KeBbykUTEWvTaruw1h8XR65Yr663pS/zknMiJZieKKTUHD3Ief7bzq2fSW2qAub+LX5/llLzHY9BKBbA8EABzQZ1dBTomOPYDPye9QWQ4oPApNY6pLEUFFaTrFQ1TGW8vNp5Jgy6u04r1MDqsRHGvhUOKLPb7Mfyz+Vt7sHNwjv8W3LY0pYxQfT/lg/w1Gu0/77H0XOsQMzJhIqKXXnARZ3lAf5gz+nlLPPI+fNYB5wL7Zso84VnZhMRo6ndmQprEClghXx3OcOrC5yB87wqD9UuEQiqRQWx72PGVAi91Aeq7y4SQohBiKHm/S04SZDTzDvWmKvDt+/mqwlGaAFHDvw2LdXsfZS20tg9RI3cZjCDGfen1fx6SVsHWF586U8Un2/w1+L7uMOXJ9r+3JskSZxKSyu34+bPNYbs62WDXv1EAxwQJNRDT3VhS0iL4pXOaG1nKfUINBHMS03jymdJSJSKtAzCge7F74tKUyQpZzXe5inqZQfGZlezNuK0pxSyy5SOJCqOlIXtoRdClvHeB6jzp/hvKwXmPfSjhWcUC5qm/9N2y1hdLIU4Mp9fYbVHO/GeVnbcPdiwrdNubky1lm//WOsyEf0PkMhLSuvey+m3H2G1XNWylkHcALLWX6IVbhSu6QGFmsQ9Yb1LGT9PVvEJkMvMbGa4rMqplLKa6vWy5NB7cGWSlRBlUdYfu5Rv/0ihWljlSBGaTe27rBU+NHrL3UsxZD34vpC15PGKOx6UE/seOsjGOCAJqOagUuikt1YwYapyPfVotQgUKoN8rwk1kmqTKSBPFrtSspbeX2ieBdwxkoipe+wtXelhpWXN43zApf9OVTnWsZdlP1+TMmb8fsfwhZMkNpZYidR73OYilte4zK2QtICbvLQhi08f9dfnypydWOCoSHfzjvYOrIzGGOgMEKcUVjCxFcDmDeuHNkXvn0SnO3BJm2aCGiiMOv//xAXDlAYoQ3n1d2mOGQx4/vmgG9bGme8X/jtNYl5QXkKVs+CjL3EYXHIs32Km3ioylkWYyW2Yaltu7EYcTVYq+BJlPgyVo1tFlP2BzQSwQAHNBlRI9aFxeGUYrGEDWRKg4kXvmhkG6LesYqJlBvMtO8CVnO3F0cTq8KVKNtnOE9wP86QDGAiHeWlyvh1Y8vJLWA1gruxNWnfxAzmAwrzkjv9vvtwntU+nEGVgetCC0y4QVaFKb7H4p1KhZH3qP4WRX8QE0FN+mNLKR5nMZZ8u+VZdeAmDKLMOyPX34/VuX6GKbi7fXsUI5ewSylaYGrymUjbjmACu6QJmHKTxQYoLWmXP5cETFGathSdKsOreLtU7VHDn8NqdIv5EeOQ5RgwwEsm2M4YGUyZXg3WKnjSxETPvuLtSodbKxop7tr8CAY4oAUQpXPl1YiW1cv/BFtHVd5Bowyw2pCUB1nNYKa2P8QZi3kspncAZyjw3836YyjtZwdWznIHztCo+lQ0nekRJhw6iC15+ATnjQ7gDEkWo1al7n4Ni/G+htHZy9i6xVIvK96pHNx2iu+J6Po2nMf7Y8wDjZbBjA/Yuyg0uJ2+zTK8uzCvWBMAMBbiMbYK1kvf33v8RwUoenxb9vljyti9jj0vGvR7cWsDK977wF832BJ/8WspJwisNt91AaPVe5BoL8UcV/lnzqy2Aa7TxXl2k6va+K1V8KT9JRhU+tJ3rN1QVpvx8OogGOCAFkE1xQa+Y2NVlLXE9eSdPsaMcAduUD+AG2QVK9bxlPKygLvuHtyApzigjIw8TeUPK4d4DudN/4AV8ejFGcI3KF4c4jV//EM4g/5jf57tWHWqaYxOh+R7ImOex1HPS/54StPShAqsiD84Q7kDW8Wqz++H779Ofz1KzVHFpTbcwC2a/IXfbx5L5WrHltk7jInWNFl4EOmHrP8c922QR78f+DMWt07y0so9p9XQvxKd7caqiE0Bea7yTwXGF+AMC1zlJe+s1t+uhLUKnqL7y+tvlJca7zu9E7v8OV89bzgY4IAWQTXFBjaauqrlvEu4AasNJ1Sax3mTx7DBJoMbfGR4s/5feZvp2PF2Y56c8nMVo9uOM/YzWNlLVYk6jFWhUsx8zu87h3mGKgG5B9fnvVjcVfHMpHsy6X9Tjq8EYH+hsESjxFVKzXodU0jnfb9O4wRcj3FGUMpjTVSiHvw2zCg8wsWkD/q/d/o+6fLbyJNexKpQpf1xvvPH7PFt6vH9ge+TLKUFQ5We03KMSdQDVL7yHPCcY2SLjK9whhWO0c5YQXGOclir4Gm9BFPxtL0fYQK3BV5FbzgY4IAWQaXBq1GDQq0xqFrOq2uYww20yieWgGgGi3OrDnUeRx/LG1IfgHnKMlbz2MpDEhd14AzBAi4mLBq3x2+rOGOUtm/HGdsVXF8r3Ud5y1ksPzfpnsxiYjPFhx9SGBLYhYmr+jGKeDtWeWwa80pn/O+zmKFURasFv78G7u+x0IQKUIDR6fPY8n4DGH0+g1H1i/67FdzE5XWsgEil56HUcxplTCRQ201hSlSS9zzLQIVnbIBuxlZVyJs1jhrtuzewkIGev1evPGUwwAEtgo1I1l/vGFQ0B1O5uwcxY6vUmkksRrwL5/ml/P4alFU2sANnLGdwYqIDWC3pBZzn2IYzNh2YkVNbpKyVIXuBrTmb88cDW3gg6XqSDMoSzgMthQ4s1vsSZ1hFIy9h6wov+fbJk5Wh3u9/78NSo1RAI5oOE6X/o/2pSUHKt/8tbPWmdiwlqxutbHWMcQZ4yATTjJW8rnLPqdrSR+HCFBJjKa5c7D1PUB4Tq4K5pGe4h8L6161qkKN9tx1bB1rCv1rU2lsDW/ZqT506xaVLlxgfH6e/vx+AS5cucfduuUGj9LHOnTu3+nd/fz+ffPIJX3zxxbqfe+siPouX1yLDNIOl+jQK1Ypk6kU8fqYqRC+xVCF5fPO4QbgPq5wVHZSjJQzV9g5sbWGtmKO8W3nZy7gB7QgWL72HFLbO+M/iPMcD/v8pbNnD6ISnkkEpNXHRpKEbN+DqmhTT3oXVPl7Eqn7NR7bbhXlIc7h7pbhpLxajFkRh5rCcbVX8ei1y3d1Y8Y5twAQpOrnKf+TMaolPuE4H58mTK6J942EJQRMFGb94idIMlldc7D2PAddp48wq+2G4TldkQpAURwVTcleaVDbTe472XRarPqc891rU2lsDW9IAX7x4kQ8++IATJ06Qy7nYzqlTp/jqq684deoU33zzTU3HymazfPjhh6vfpVIpvvjiCz7++GM+//zzdTv31kV8Fp9Ew7aX3Htt511LjmQ10KCWxg0u2/33c5hxy2HxXYmttlNaab0U+U71jiWuyuGMz0tc3+VwMV2l8SxSqMKexMVAlZ/ciw3mSpmKn7uUQZFALj6RSkf2nccWMdCCBzOYMdyLpe1ksJj3Tkx9rYFahjiNpSBFJ2wvItvNYfW2VdBD3tcyNhma5yr/iTOr6zw7nGGJq+zgHdoobRQ6SF7WUrnTKZyhSWOFXTTpi3vPHZynn6vMxFTQ3Zxnl99H54w+w0PY2spZyk8qW0GFrJDOTEJbNkJY2VqQG7BlMDg4yPj4OO+++26RcRwZGeHtt9/mrbfequpYqVSKr776KnH748eP88UXX6x6uI0+dyUcPnyYe/fuAXDkyBHu37/fkONuDFR5SgO/aENRpxYba2w8KH7e9TiPBrlubKUkcIZgHhuQo5MPGTIN4qr+FBfvdOOo2rT/LocV+XiJi2OqvKXSmqYjf0/j4p2PsHVq3/T7bMPSj+ID8j5/jN3YxEXpRj2x/VUZbLe/vl5sCcgp347tGD2dxxZlUAUwUcWK4yo2+x1maNpwhkfU87zvj+lIGw757fdikyypt12fHeM233KbUvgJuxljOvJN1IjtJXlZS+WDRwVXz3B9P0X5amz9HGOJAdqYYIkxXmALSUDxM5z2v22jdBEUSuzbyOe/Hs9688Sy12u83daQo7QQ3n33XQBu3bpV9Nunn37K0NAQx48fr+pYv/rVrwoMbBTj4+P09fWt27m3NuKzeMULJShSrKzRBI1ERhncIJWh/Ky7A0tTUYy1EnZhdat3Y9WswIRDTzlGjl8xyTEmccv5ZTHPMG4ApZjWNTzB5Wk+wA3qd/z34zjP91vcoP1nf32Psf5O+//3YevFypjtwARYUSQJj/I4A5fCqa73Y8smpv0xH/rjPcMtaDDnz9OJVcJK+38XMeOrAXkFN7GQKnsaW2BgxR9bE5ls5Pq6fP9r0jAVOcas758XHGOef1chvWeg6J5HKeA0ZmTnqe65lQf4lMIQi70TY2S5RQdjq7HsXdgzOE/hM/zMfzdH5cIb8feuUe+ZJiW9WDnP6KSnFEr1RdLxa30PNwe2nAH+zW9+A7BK/0aRzWYLtqkEGdkbN26QSqUKfnvvvfe4efPmup17ayM+oIuqXGJ9lytTDGqW0sZOqHdQidatlsFRdaQlUsCfWOZbprlJjm+Z5k/kSbFC4dJ88bakMcHSY99ulYZUYYcszvB+jzN4KjmpPN+HmAFMYzWDZVDnMI8yiqSJizxU9ZGO2xM5XtRYa4GBB74t2yO/ZbF1kWexqlzb/bkmcRONDIUGJ40xBnsx5XXK3weprNUPWWCOFNv4E6N8y3/iCuMJ12uYIEVxHq+MmBZvkGgsroie9+0W/VwOpSY5KQqfwTS2yMUM7ll47NtSaVJZTsG9FkQnJbv9v51YeKAUqjGs8fcwjRPUHSyzz+bB5m59Ak6cOMHUVDKdMj7uXra33367qmN988033Lx5k9OnT5PNZvntb3/LH/7wBy5cuMAHH3xQIMxq9LkPHz5c9veDBw+W/b21EVeS5rA1VaM07HrEgzTrroR6BVvl61ZfBc7E9jjDS66yjXdKCpuqaUv8ujRw6XiLmDeoGHu5eHicHsxSuBqP4rPLWH7zLM7QLWDlMKMq3d04Q6WiGc9wVby0YtMUjjGY8/tk/L/fY0ZMz47irBJrdWC1rLWikxTOA1ihkSmuMl4y5zaK6+zx4icJrCQuk3Hsxmpra4KiiN5OjG5Piq3HkaSuVr/F73t8YYZqqdz1yjSoR1tRbTw6+ux3YouPqJTn5s4d3lIGOO6llkIpWjkJ586d49q1a5w+fZrf//73/O53v2N0dJSTJ0+u67kVb9iaiCtJl3DeWXSAjw4izYgV1SvYKl23+hjFxlc4438fKymeiYp69uAG9ln/e1J/qI+XMS/zJUZhqnZ1kjdUzeDY54+pgVFswiwuVhu9l08xD17pPylc305g3vcyVl4yHznHij+2+kXPg4z2Xn8Ne7HFDTI4L2nSb58BljjGkyqNby/nVw33fty9jMbs5V1PYurrJSzNagdWmWvS96HyuJOe46R3QpOcSs9gNZNK9Zlyx1X8pRHvUj2edbUT3Oh7OI+7x7rPKyX22TzYUgZ4PZDL5fjkk084etQtDzY0NMTp06cZHh4uUEYH1IqkQSNasEBeh1S19So36zXetQ4qOk8vzpB04tJ8XqDBf2C1TGQyBoCxkq+kYst9OO9KYY5eSveHjF+S8AfcQBYt9tHjf0/731X8ImlwlDc17reXsOm7Eu3I4gyi1lm+i1Hh7ThhmEpnpv3v+zHlczw9KmqMlTO8gq22JFW14rNOJDZQwfhe4gD/gdcZoxuj76HQUEiUFS27KSGVBFjL/lrU7iyVn+P4OyFjXeoZrPbZTppQ5ctsXyvq8ayrneBG30OxJ8tYmdL10IpsHDZvyxOQFHtdK0ZGRkin06tpRZcvX+bSpUt88MEHnDx5ctUTbvS5jxw5Uvb3gwcP8uWXXzb0nM1H0kAhI1bOGNRyvGqNdy2DSgcu1zTtP/ux8pGzaKGDidVKT8mYWI2ZlRtMVdZR9abLVRCKD9Dx+LI8ri4snUZ5sorxPqT8KlDKeY4b9mif90T20XrEu7F7KnpWlOuU//8sznA9KdEXYF5dj/8M+n0W/f4r2ADfFilokYz/wF7G2IHF7qXC3o4VjGgjWWUcNSrqNz0DUn3XEtIo9wzW8myX8jaj1PpamKUk772aCnPVTHCjfSD2pBej/zd37vCWMsCVkE6nAchkMuU39Lh8+TJHjx4toJs/+ugjPvnkE65du8aJEye4cOECf/zjHxt+7s2VVtQoJA0UbdhqNbXm7q6l8EYtg0oftkqPvKAOHPUoFW8vY+zmOs85U5DW4nCdfsZWKde4V9uB8+CU4yrjO4ktUh/vj2oGaBnlfdgkYsUfcx43yJUbHJNYDHmf0T6XClwFR9r976lIG2eBf8FKZkYNTrl71YHlQI/j7oPo7Cks39pdwxh5rpMcCnAFL5RSpT5dwUIAP8LivUnPQTmjUk9Io9wzmNTP5SZi8XNroiVqfa05wdVqK4RqJ7jRPljCPTOltCLNCFWtDVtOBX3nzp2i9CBB8devv/66qmO9//77fPzxx0Xf3717l5MnT3Lnzh1Onz69Lud+NREfKNqwFJl6lJtJx6uFstKgUilNIo1RpyqKoIFjxp+zG9jGeXq4vhoXdrjOHs7zC79/XEXagRt0tEi6vLNFjL7d6f8fVYVWq0wVhZvGGf55rFzjDNWla8WPp3j1CqbijcYyd+NSl36KS13ai6sNfMyfW7FJxZXL0f692NKKovizOCp8nuKUs1nOA9djR7rOds5zAKsk1oXlzMqDVynPUn1RLs2tnjgpVJO2VPnZTjq3aonXqlxuFPR+SM1d7l6rDx4Ct0lO2YurpXupLmuhuWjt1tWBW7duMTQ0RCqVKqKFFcf99NNPqzpWX1/favpQqXOt17lfTSQNFDkKF5mvRbmZdLw87uXU742eJS9HjteHG4gVd2wnxwHeIc8xnjPAIhPsYIxDmBFROUYNpruQB+1+f4mj4VQwQ5WiXlLoOVfrccUp3KO4Ae45VuijUnwx6nXob3lYUlxPYfch+vt2XGxYxSO6IueLagHi59eAC1bAA6zgybPI9RV6RDngHfAL3zsZ2NjqUpDtOE+3x/eLVN69uPugfOJShqKUxyqPbxqLsfdQTGNXiyVMEKY+khAsjiRvU/dmJ+tXFa4SKnnNpTzapH3WwnY1D1vOA75y5Qrg8nTjOH36NFNTU0XlIAcHBzl79mzR9jdv3ixKNYri5MmTXLt2bU3nDogiyYOYx3kz1cyUKx1PVaGgsbPkWUwso1V+nuBm7Bls/Vm7rjG2c4vtXuxTLp+0AysTOYHFHh/5bVSEfyeFXky1HleUwv0B86S6ffvLef9JXsceisuIzlF4H7JY7W/Fyp9hXn5XwnHj90kDrgRP2yN9oeejPIMxBtzy/9qzoqXxln17Ovw1LWEVxCrFNpPOuYTVP877Y7/AqprVinmsglweq58dFZl14IxzH1Z+U++QJir1MEsbgVo92rWyXc3BljPAd+/e5cqVK1y5cqUgNUgLKpw6dapon5s3b/LZZ58VGeFz587xq1/9iosXLxbtMzw8zK1btwoWZKjn3AFRlKKllG5SiQqudDyw9XMbRbt1YOKQGdwg+xhXcOKeP/cj/4leV3QAlKDkGc7QJlGXi347/a1azs9xg2t80ClFhyoVZp//F6xe8wGcFyhPPE35AUxGcD+u8tQQrk8VQ1YRComhunxfPfV98wMWI89H+quLQvp8P27wHcRo9ijVrbrQzzGPvVboWZGXm8EVM8lihmutObNSVudx/bGb+p8/KaxFJauMqwqpxA2Y+n4q8ilFl7cCai3uUS/F31y09vSgTnz00Ud8+eWXXLt2rYBCPnr0aOKKRJ999hnvvvtuUXw2l8tx4sQJ3n//fW7cuFFwrFKrIdV67oA4ahVz1Ho8Ua6Not10vGXc4LoNN5A/xujFJCoNCtOAovmk0fzMKHW5H2dsdvj9pVxOGnSS6NCklC7R8s/99j2YN64Br9T9kBEU1b4f80anfF/M+W1k2HROvQszfrtp4D7O4CmFR1WsfkTxwu1tFFPda6Ub1WcL2IA/59soYVcpSjyKcvc77dssRXW9z5+YETEi+7AcX0imZKdxpLsmKVlK5943G7WK1taryMj6QncmYJNhcy/G0Cz00fhi9Ipp7qZwoQINjElqZHm7UH0e5wDO4IpmFHWbFB8vRZOWuv4FLIUqahxKFfWPHu+w/6T9dzOYMX+Oo8Y1YVBRkIxvX6/vry4cI/AYy1lWO1MUL7iQofyCB/XGVaF0ziwYw1Cun8vtn8ZqX0ul/YT6nr9Kz3L8uTyIm1S9wBbSKPes6FqapSqu511dv/au13i7JT3ggIBkrMcsuRL1VUkcUs3Au4QbeNr833GP4ACW9vSU8gNqklehWtLy/PoSriMJM1gVq06cAe3HDfI9/t9lv11U7KOc2Gkslq10o6jXn6H8wu0z/jwPcYatESUVk6pFdfjzVyPwSbrfSsPagZUqraSoroRKz3L8uezG4sRUuAZYWw59I1DPu9po9mz9EQxwwCuEcirVelFpoKiGSqtm5h4fUNspXEkIzCN8VOKayk0W6h3wlJOplCDFNxWnVvvyOC9MlPESzhhFvWIZg+h9ypK8cHseU/5uo3S95XjfKr853telPNcZzOhXQ4cm3W958Iu4uPIbVFZUV4L6SHnn7VgZVCi+n/i/56u4Bmi+qng93tXWQzDAAa8Y1iPGXG6gkNFrx4mUtkW2geo9jfiAuhMb3LXucBY3qM+VuMZyRrbeAW/KX1uO4vVx+zGaPBrD7sMZgp04g5QUC9V9mknon0WsvnS5CUO8b/M4Kn8GK+Sgvo4KynqwWL7SyqoV+CRta2lo7lpFo9crGItChrcTU4/r2YneT9HghYVJamdLWilNafMjGOCAVwDrHcsqN1CIJgWrVyyPTu2qxtOID6jtuIG9B2d4VVxB3l2pdpYysvX2UfSYvVjKlEox6u8u3ORAec2iYo9GzpOnWOVers2VJgzxvlXaTgqjzzORY8QFZUt+mztUzw7ofktIJhX4EsUx5LVS5pWenehzOYUzzksl2hC//7AZVcWbDcEAB2xxNDuWtYTRjbtgdQF4GYRSlKXKWUYNS3RAXfLXkcIEUFkqL3uXNFko1UdZqlPJRo8p4Ux00F7ADBCYslmpVc8xoVbUgyvX5nLfR68r2rd92NKFGZyRFSOxgJvAtOPSnfDtUx+shQ7VZKHRiuNavNRKk68k+l0GffOoijcbggEO2OJodixLeI4bwmrbUgAAFcpJREFUzOMDZVJsV17iLkobw3ksPjrnz6Hvah0kS6WspLFiEXlstaOFhGNAeYpb15LHGcIprCjFdt92xYYbdW/ifbuE80zTOCpa+dsprFJXVFCmHGP1eTVtkoirHQs9tFG8hm8jUAs1ru2T2lDqHdHEaevGYJuNYIADWhz1UKPRfdJYTemNjmWpHWmsvnIl8dNuzFN7iTMIGX+MaLqRvHgZSHDGt1KhkqT+TPKk0r4Nh/1v7f58b+Lq8ZbyhEt5WdWWQyzl/deD+Dlz/noUP17GeexP/HmjgjIZzEqMQhwbGTttlKq/nDp+a8dgm41ggANaGPXQx/F9FG+FjY1lRdvRFmmD6jgniZ+6sBWJenAGow9Hk+raox5KN27ArDbvtVR/qiRk1JMCZ5w6/e8p/50881IDczm6OG6cF/w1a9WlUt5/veGCpHMu+XNtxwyvjG5UUFavQavVK10L6hXOJR0nxHubgWCAA1oY9dDH8X1Ul/gFzvhtVCwr3g61IY+VpNQAJ6MlAdBhChdG6MYZwXqWZCzXJvWnDHDUk+rx7ezBKNptWH3kehA3zpoQRJXdO7C61lElcrWTjErnFNpwNZ63YZXH8OdSruwMtZU+1T4bWZGpEUrhzVlFaisgGOBXHs2sdlMJ9dB5Sfs8x3I6N+oaS7VDg3qpfbQwwl2cSGiOUmvb1n4NlQpxRJ+Dpzi6WRMYeeG1GqRySFJ2rwCHcMb/TayW8QylY89xRJ/p+PmkHIdCVXoPxjBoQtJO7WiUV1otGvH+bnSbA4RggF9pNFshXAn1UGNJ+ygVZCPjWfW2fR7XTnmgWVyFKxWeWIuHUq5NSZ7Udzgj+AJngBUTbaRnFFd2H8bRw3+HM4BKX3qT4thzkvEBe6a7KfRmtdbxMsWq9F7/r0RTaxHrNcIrrQaNfH83qs0BUQQD/EqjVRTCpVArNdbhP1qi7iWF8daNRD20nvZ5Etvnmf99rR5KrW1awBm9jfKMlJubx8o0asGFLgqfy3LxbD3TKawKlWLqqiMtVfoUrjLVHr9vNIe50eKpLlw1sC5c3z6keq8+Ca3+/gZUQjDArzRaodpNOcSpMSFpRZrogLyI86I6sXrLG+3R10PrVdpnLYOqvMV4neNq2rRRg/kSbvKxBzd5Uv3nPMWx53LGZ9l/l8VNxsAZu21YWUZRzD/y/27zx+j3xxDj0KiJWxfwY9yEQAU6dgF/oX4j3Orvb0AlhDv1SmMzqB9lACrRbaUGZNGrzUA9xms9DF6pQgutGOebwhnhF7g265mMT6JKGR+w60tjdbLTOO9WHn87trxhD46K7sCEe2ILVLFsrf2kOthvYM/n9/77u3UecyPf31bWimxeBAP8SmMzqR8r0W3BGyiNVqYqkwb276gcey5lfGRcM5iXCRYDljEHS3nahjOGR3GearS4iSqWrbWflG7VhittOYRR6/WikXnA5Yxrq2tFNi/C6PRKYzOpHysZ2M3gzTcLrTo5KTewV4o9lzI+UeMaLyQRP84zipdgnMEZ3zs0tp8WcBOAPM74Shy4lhhwI97faoxrK0/gNjea/QYGNB2bRf1YycBuJm++UaiWFmzVyUmlgb3cc9mIeHn8mVli/Yq2PPRt/R6LAc/779eCtb6/1RjXVp3AbX6EHgzYJKhkYDfKm2+VWFgttGCrTk7WOrCv1fjEnxn1U6NXLQLn6f6FxqqgG4Fq7kGrTuA2P4IBDtgkqMbArrc330qxsFpowVYNNTRyYK93YhR/ZtZzgrVA/YKr9UI196BVJ3CbH8EAB2wiNJsub6VYWK3eYz19t97efiNFRK/hlM6id7PAI0q3t9S1tWI/rSequQetOoHb/AgGOCCgasSN3kGcR9zrf9/IQWm9acEunBK5C1MiN9rbb9TA3gccoDAPfAdO4ZxUQ7qRTEYrsSL1oNp70OzJ79ZEMMABAVUjavQO4iotzeIMci8bO/CuJy3YgTO+KZxxWcYZuXEa7+03YmBP4zzfNM7zTeOUzGl/7LhxaSST0Yfro724XOI5XB7zZlIIB+PaLGxrdgMCAjYPZrBVg5ZxxrcX9xr14wb1XSX3bizkucz6ds3SOOOvpRHl3a/grq2PjZ+zd/jz7qvy/PnI/7uAt3DFLwZwBnmv/z7KZEh0Veu1deAWzEjj+mnet7G7jmMFvIoIT0lAQNWI0nW9uIF7vWoHNzOuqIpQy7jJRj/OwK+UaMN6tbVaencWOIKVkpzGlbJUWcq4Fw+Noe9V2rOHwuUjt9dxrICNQWvF64MBDgioCVG6rhc34Dc6BluN4VnP2OMSzpDIq5d3HV03t5a21otq6N0OXOWrOZxn245baOGl3+cA7j5NYV78Q4x2Xqv4K2n5SBX0CGgttF68PhjggIC6sJ4x2GpilOupyNa1jePo1TzO+H5H8UC1Xu2I07uPccYzvi6wvNBlnPHbhhtQlyntxWsi0Yh1dJOWj3xSx7EC1h+tlMXgEAxwQEBdWM/UjC6cV53CDebdFNPb61mdKHpts5S/tvVqR7X0rs6/jJWPfI7zhLOU9uIbITwqtXxkEDS1JlqvolcwwAEBdWM91KMdOMPbCezEiYcWgUmKi46sZxpStddWbzsqxeKqpXdLnV+LMlTjxdeLkB+7ubDe70ztCAY4IKCloBV6enHGpx3LwY0anlapTlRPO6qJxVVL71azKEMlL75cO0N+7NZBq7wzhmCAAwJaClIg53AGaD/OE8xR7AG3gvdVTzuqicVF6d1uHPWsFCOdp5rz12scW0+wE7BWtMo7YwgGOCCgpSCabBE38Gf8J6lof6t4X7W0Q4YtjTOs3+PEVUkLADzzv+323y1i+clxbzkqqtrF2gfW1hPsBDQCrfLOOIRCHAEBLYVosY9p/+9WKXwv47vDf7qBH+Fo9qRY3JL/TPttdpJc8ETH7cVytPeyNv8iLtipt1hHQEBphKcpIKCl0Ho0WeMgr3IHzpMF59m/oPQkoxrl6np4q60n2AnYeggGOCCg5VCKJmutKj61I5oy9FdcicgX/lMqtlqNIVyP9JLWE+wEbD0EAxwQsCmwFURBUWPahxOWZTCVchKqXS6v0d7qVmYiAloFwQAHBGwKbAVRUD1eZTWGcL281dYS7ARsPQQDHBCwKdB6VXxqR71eZSVDuFW91c0ecgiohM309gYEvMLYKqKg9fIqm+WtNnslqIDNjGCANyna29tX/3/w4MEmtiRgY9CBo5/lCS/iBuhtuPScgI1H0j1ZwlHhazWSadx9TWMhhyywx/8bsJGIjrHRsXetCAZ4k2L//v2r///yyy+b2JKAgICAVwf79+/nhx9+aMixQiGOgICAgICAJkDcRsAmw/bt2/nFL34BwJMnT1heXt7wNhw8eHDV+/7lL3/Jw4cPN7wNrYrQN+UR+qc0Qt+URzP6p729fZV1/Md//EdevnzZkOMGCnqT4uXLl4yOjja7Gat4+PAh9+/fb3YzWhKhb8oj9E9phL4pj43sn0bRzlEECjogICAgIKAJCAY4ICAgICCgCQgGOCAgICAgoAkIBjggICAgIKAJCAY4ICAgICCgCQgGOCAgICAgoAkIBjggICAgIKAJCIU4AgICAgICmoDgAQcEBAQEBDQBwQAHBAQEBAQ0AcEABwQEBAQENAHBAAcEBAQEBDQBwQAHBAQEBAQ0AcEABwQEBAQENAHBAAcEBAQEBDQBwQAHBAQEBAQ0AcEABwQEBAQENAEdzW5AQHNw8eJFfvnLX5JOpzl69Chff/01ly5d4u7duzUf69SpU5w7d2717/7+fj755BO++OKLkttfunSJ8fFx+vv7Aeo+93ri4sWLDA0Nkc1mOXr0KOl0mitXrpS8rnKo9ZpbvY8a2Te1PouvUt/EceHCBU6fPs17772X+Hur9w00vn8GBwe5cuUKAJlMBnDXnMvlirZtxf7Jh8+r9RkZGcmfPXt29e9UKpW/ceNGPp/P50+dOlXTsS5evJi/cOFCwXepVCo/OjpacI7o9rdv386nUqnV706dOpXPZDL548ePN71v9Llx40ZRey5evJjP5/P5ixcv1txHtVxzq/dRI/um1mfxVeqb+GdwcDCfz+fzN27caMhzthX6R9cXfYYGBwcT+6hF+6f5NyV8Nu5z4cKFIoMJbuDL5/P5TCZT8ICW+6RSqfzt27cTfzt+/Hg+k8kUfKcBJMkwj4yMlDzWRn9OnTqVONCpj/L5fNXHqvWaW72PGtk3tT6Lr1LfJH1GRkZKGuBW75v16J/jx48nGm5N4DbJs9PcmxI+G/u5ceNGyRmfXvCkhzTpc/bs2SIjq49equh3mukmGfizZ8/m8/l8S8zUU6lUPpPJ5C9fvlzwvV7iWgaKWq+51fuokX1T67P4KvVN/HP58uVVb62Ud9fKfbMe/TM6OppoOIeHh4u+b9X+CSKsVxB9fX0cPXq06HvFT375y19WdZzx8XH6+vq4ceMGqVSq4Lf33nuPmzdvFnz3m9/8BiAxNpPNZgu2aSZyuRz9/f189NFHBd+//fbbAFy7dq3qY9V6za3eR43sG6jtWXzV+kY4fvw4QNkYaav3DTS2f86ePcuJEyf45JNPin778MMPeeuttwq+a+X+aeqsKHw29pNKpUrO9ETdVOsBR/eJUkEXLlzIj46O5gcHBwu2Fa2YdJxK8a1W+IyOjuYzmUzRdZX71HrNm7WP6umbWp/FV6lvon0UvaZSHvBm7Zt6+0fPx/Hjx/ODg4P5y5cv5y9fvlxy7Grh/mn+DQif5n+icbda94sa4VIDRKXj6yUYHR1tel9EP2fPnl0Vb4yMjFQdH6/nmjdbH62lb2rtt1e1b4aHhwsMU9L7tdn6phH9k8lkVidoly9fzg8ODuYHBwfzw8PDRZP/Vu6fQEEHAKzK+KPpRNUgl8vxySefcOfOHe7cuUNfXx+nT59meHh4PZq54chms4yPj/PZZ5/x9ttv8/777ze7SS2D9eqbep/FVkIj+ubs2bN89dVXLZVC1CistX/6+voARxt/9NFH3L17l7t37/Lhhx8CFIW/WhlNnw2FT3M/EiHUQj3rMzIykr9x48bqDPby5cur3nB8Rtmqs9BqP1Jd1kJV1XrNm7WP6umbpE+5Z/FV6pvBwcH8yMhI0fdroaBbsW/q7R+hVKpaPp8vUNi3cP80/waET/M+Sheqx/hevnw58aEdHBzMj46O1vQSNGoAX++Prqva/qr1mjdzH9XaN0nXV+5ZfJX6phQtW48BbvW+qad/REEnxY01iRseHm75/gkU9CuMwcFBrl27xqlTp/j8889r3v/999/n448/Lvr+7t27nDx5kjt37nD69OnV70VRJ0FVab7++uua29FoDA4Ocvbs2cTfRkdHgeoVk7Vec6v3USP7Jn7cSs/iq9I3Z8+e5e233+batWvcuHGj4NPX18fJkydX/xZavW+gsc+Oti+HqLq+VfsnGOBXFBrwTp8+zTfffLP6/fHjx7l48WJVx+jr61uV8Cfh1q1bq+kk+hsoSlkCe1k+/fTTqs69nvjqq6/47LPPOHXq1JqPVes1t3ofNbJvhGqfxVelbz7//HPeeustfv3rXxd8FBMfHR1d/U5o9b6Bxj47ivEmpbDJoI6Pj69+18r903T6IXw29iPlchJ9c/HixaK4yuDgYCI1dOPGjQKaJ/4ZHR0tOJZiLUnVj0ZGRmpWYK/X5/bt20Ul66K/JVFlpfqo1mtu9T5qZN/U+iy+an2T1FelqNJW75tG94/6Il7UQ9cbp6dbuH+ae1PCZ2M/Kh+ZyWTyo6Ojqx+9HElxlVIvh46VVMN1eHg48eW4fPlyUYlBlahrdqWeaHtGRkaK+uHChQtFsaVKfVTPNbdyHzWyb+p5Fl+Vvkn6KFZZqmxiK/fNevSPKvFFr03X24j3cCM+YTWkVwzXrl1jaGgIgBMnTiRuE097+Oyzz3j33XeLYiS5XI4TJ07w/vvvc+PGjQI6utRqSB999BFffvkl165dK9j+6NGjLZNu8cUXXzA+Ps6lS5dW6ax0Og3Ar371q8TrKtVHUPs1t3IfNbJv6nkWX5W+iUIr+IgqHRoaYnR0lEwmU0BDt3LfQOP75/PPP2d8fHw1bU3YTO9VG84SBwQEBAQEBGwggggrICAgICCgCQgGOCAgICAgoAkIBjggICAgIKAJCAY4ICAgICCgCQgGOCAgICAgoAkIBjggICAgIKAJCAY4ICAgICCgCQgGOCAgICAgoAkIBjggICAgIKAJCAY4ICAgICCgCQgGOCAgICAgoAkIBjggICAgIKAJCAY4ICAgICCgCQgGOCAgICAgoAkIBjggICAgIKAJCAY4ICAgICCgCQgGOCAgICAgoAkIBjggICAgIKAJCAY4ICAgICCgCQgGOCAgICAgoAnoaHYDAgICthYuX75MOp3m6NGjfP3113z00UecPXuW06dPA3Dnzh3+8Ic/NLmVAQGtgXz4hE/4hE8jPiMjI/njx4+v/p3JZPI3btzIX758OQ/kh4eH8/l8Pp9KpZre1vAJn2Z/2vx/AgICAtaECxcukMlk+Pzzz1e/u337NkNDQ6TTaXK5HDdu3ADg17/+9eo2x48f58qVK2SzWY4ePcr4+Dgff/wx33zzzYZfQ0DARqPps4DwCZ/w2fyfCxcuFH2Xz+fzIyMjJfc5fvx40e+XL1/O5/P5Ak86fMJni36a3oDwCZ/w2YKfU6dO5fP5fKJh1mdkZGSVno5+RF03+xrCJ3zW8xNU0AEBAesCia5u3bpVcptMJsPbb79d9P34+DhHjx5dt7YFBLQKmj4LCJ/wCZ+t9xkdHc1nMpmi78+ePVt2v1Qqlc/n8/nh4eGmX0P4hM96foIHHBAQ0BCMjo4yPDwMQCqV4sSJE4yOjhZsc/HiRbLZbNnjXLlyhampKS5durReTQ0IaAkEAxwQELBmHD9+nBMnTqwa1ytXrnDt2rUCGvnUqVMMDQ3xxRdflDzOxYsXOXnyJIODg+RyufVudkBAUxHSkAICAhoCFeDo7+/n008/5fPPP2d4eHg1tahSAQ7t/+GHH25gqwMCmodggAMCApqO4eFhbt68WZBDPDIywnvvvdfEVgUErC9CKcqAgICm4saNG6tFOC5evAjAnj17mtyqgID1RzDAAQEBTcPIyMhqutK5c+cKfvvtb3/bjCYFBGwYAgUdEBAQEBDQBAQVdEBAQEBAQBMQDHBAQEBAQEATEAxwQEBAQEBAExAMcEBAQEBAQBMQDHBAQEBAQEATEAxwQEBAQEBAExAMcEBAQEBAQBMQDHBAQEBAQEATEAxwQEBAQEBAExAMcEBAQEBAQBMQDHBAQEBAQEATEAxwQEBAQEBAExAMcEBAQEBAQBMQDHBAQEBAQEATEAxwQEBAQEBAExAMcEBAQEBAQBMQDHBAQEBAQEATEAxwQEBAQEBAExAMcEBAQEBAQBMQDHBAQEBAQEAT8P8Dlns+lpJ2QR0AAAAASUVORK5CYII=",
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "metadata": {
      "image/png": {
       "width": 300
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "from IPython.display import Image, display\n",
    "display(Image(filename='phys_surr_3d/data_plot_phys_surr_3d_30000_0_1.png',width=300))\n",
    "display(Image(filename='phys_surr_3d/data_plot_phys_surr_3d_30000_0_2.png',width=300))\n",
    "display(Image(filename='phys_surr_3d/data_plot_phys_surr_3d_30000_1_2.png',width=300))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 80,
   "id": "298386c0",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "metadata": {
      "image/png": {
       "width": 300
      }
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "metadata": {
      "image/png": {
       "width": 300
      }
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "metadata": {
      "image/png": {
       "width": 300
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "from IPython.display import Image, display\n",
    "display(Image(filename='phys_surr_3d/params_plot_phys_surr_3d_30000_0_1.png',width=300))\n",
    "display(Image(filename='phys_surr_3d/params_plot_phys_surr_3d_30000_0_2.png',width=300))\n",
    "display(Image(filename='phys_surr_3d/params_plot_phys_surr_3d_30000_1_2.png',width=300))"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "8a3ef50f",
   "metadata": {},
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.7.6"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}