From 11942f3618ca9604355870cd47fd046c90ae8926 Mon Sep 17 00:00:00 2001 From: Prakhar Sharma <1915438@swansea.ac.uk> Date: Fri, 14 Jul 2023 18:45:04 +0100 Subject: [PATCH 1/5] Domain implementation --- DeepINN/__init__.py | 1 + DeepINN/constraint/templates.py | 14 +- DeepINN/domain/__init__.py | 1 + DeepINN/domain/base.py | 23 + DeepINN/domain/standard.py | 50 ++ DeepINN/utils/plotting/scatter_points.py | 8 +- Tutorials/2. BC/1. dirichlet.ipynb | 16 +- Tutorials/3. Gradients/1. Gradients.ipynb | 539 ++++++++++------------ Tutorials/4. dataset/1. basic.ipynb | 163 +++++++ todo.md | 3 +- 10 files changed, 515 insertions(+), 303 deletions(-) create mode 100644 DeepINN/domain/__init__.py create mode 100644 DeepINN/domain/base.py create mode 100644 DeepINN/domain/standard.py create mode 100644 Tutorials/4. dataset/1. basic.ipynb diff --git a/DeepINN/__init__.py b/DeepINN/__init__.py index 6b6a8a9..c36d10c 100644 --- a/DeepINN/__init__.py +++ b/DeepINN/__init__.py @@ -13,4 +13,5 @@ from . import utils from . import constraint +from . import domain diff --git a/DeepINN/constraint/templates.py b/DeepINN/constraint/templates.py index 2231491..c58a4a1 100644 --- a/DeepINN/constraint/templates.py +++ b/DeepINN/constraint/templates.py @@ -1,8 +1,18 @@ +from .gradients import Jacobian import torch -def burgers_pde(X, y): +# TODO +def test_function(X, y): """ - The burgers equation. + x: array_like, N x D_in + y: array_like, N x D_out + """ + return x * np.sin(5 * x) +def Laplace(X, y): + """ + The laplace equation. + + u_xx + u_yy """ dy_x = dde.grad.jacobian(y, x, i=0, j=0) dy_t = dde.grad.jacobian(y, x, i=0, j=1) diff --git a/DeepINN/domain/__init__.py b/DeepINN/domain/__init__.py new file mode 100644 index 0000000..f180f16 --- /dev/null +++ b/DeepINN/domain/__init__.py @@ -0,0 +1 @@ +from .standard import Generic \ No newline at end of file diff --git a/DeepINN/domain/base.py b/DeepINN/domain/base.py new file mode 100644 index 0000000..941301a --- /dev/null +++ b/DeepINN/domain/base.py @@ -0,0 +1,23 @@ +import abc + +class Dataset(abc.ABC): + """ + Dataset base class + """ + def sample_collocation_points(self): + # returns the collocation points as tensor + raise NotImplementedError(f"{self.__class__.__name__} must implement the sample_collocation_points() method.") + + def sample_collocation_labels(self): + # returns the collocation points using the above function. + # also returns the collocation points labels i.e. the residual of the PDE as tensor. + raise NotImplementedError(f"{self.__class__.__name__} must implement the sample_collocation_labels() method.") + + def sample_boundary_points(self): + # returns a list of boundary points on each boundary as tensor + raise NotImplementedError(f"{self.__class__.__name__} must implement the sample_boundary_points method.") + + def sample_boundary_labels(self): + # returns the list of boundary points on each boundary using the above function. + # returns a list of tensor boundary conditions on each boundary. + raise NotImplementedError(f"{self.__class__.__name__} must implement the sample_boundary_labels() method.") diff --git a/DeepINN/domain/standard.py b/DeepINN/domain/standard.py new file mode 100644 index 0000000..e2f4e71 --- /dev/null +++ b/DeepINN/domain/standard.py @@ -0,0 +1,50 @@ +from .base import Dataset + +class Generic(Dataset): + """ + Very generic dataset loader. It loads the entire dataset in one go, which can lead to overfitting in stiff-PDEs. + + Parameters + ---------- + pde_equation: a method which returns the PDE equation as tensor object (not numpy) + collocation_object: A PDE sampler. + Instance of DeepINN.constraint.PDE() + bc_object: A BC sampler. + Instance of dp.constraint.DirichletBC() or Neumann BC (to be implemented). + """ + def __init__(self, pde_equation, collocation_object, bc_object) -> None: + super().__init__() + + self.pde = pde_equation + self.pde_sampler = collocation_object + # if the bcs is not list, then make it a list + self.bc_sampler = bc_object if isinstance(bc_object, (list)) else [bc_object] + + self.bc_list_len = len(self.bc_sampler) + + def sample_collocation_points(self): + # returns the collocation points as tensor. + # the DeepINN.constraint.PDE() takes care of the missing column in 1D tensor. See tutorials/4. dataset/ 1.basic.ipynb + return self.pde_sampler.sampler_object().sample_points().as_tensor + + def sample_collocation_labels(self): + # returns the collocation points using the above function. + # also returns the collocation points labels i.e. the residual of the PDE as tensor. + self.collocation_points = self.sample_collocation_points() # returns a tensor of sampled collocation points + return self.collocation_points, self.pde_sampler.sample_labels(self.collocation_points).unsqueeze(1) + + def sample_boundary_points(self): + # returns a list of boundary points on each boundary as tensor + self.bc_points_list =[] + for bc in self.bc_sampler: + self.bc_points_list.append(bc.sampler_object().sample_points().as_tensor) + return self.bc_points_list + + def sample_boundary_labels(self): + # returns the list of boundary points on each boundary using the above function. + # returns a list of tensor boundary conditions on each boundary. + self.bc_labels_list = [] + self.bc_points = self.sample_boundary_points() # returns a list of boundary points on each boundary as tensor + for bc_number in range(0, self.bc_list_len): + self.bc_labels_list.append(self.bc_sampler[bc_number].sample_labels(self.bc_points[bc_number]))#.unsqueeze(1)) + return self.bc_points, self.bc_labels_list diff --git a/DeepINN/utils/plotting/scatter_points.py b/DeepINN/utils/plotting/scatter_points.py index f0b950e..89435b9 100644 --- a/DeepINN/utils/plotting/scatter_points.py +++ b/DeepINN/utils/plotting/scatter_points.py @@ -5,7 +5,7 @@ import matplotlib.pyplot as plt -def scatter(subspace, *samplers, dpi=False, save=False): +def scatter(subspace, *samplers, dpi=100, save=False): """Shows (one batch) of used points in the training. If the sampler is static, the shown points will be the points for the training. If not the points may vary, depending of the sampler. @@ -67,7 +67,7 @@ def _choose_scatter_function(space_dim): def _scatter_1D(points, labels, dpi, save): - fig = plt.figure() + fig = plt.figure(dpi=dpi) ax = fig.add_subplot() ax.grid() ax.scatter(points, np.zeros_like(points)) @@ -77,7 +77,7 @@ def _scatter_1D(points, labels, dpi, save): def _scatter_2D(points, labels, dpi, save): - fig = plt.figure() + fig = plt.figure(dpi=dpi) ax = fig.add_subplot() ax.grid() ax.scatter(points[:, 0], points[:, 1]) @@ -88,7 +88,7 @@ def _scatter_2D(points, labels, dpi, save): def _scatter_3D(points, labels, dpi, save): - fig = plt.figure() + fig = plt.figure(dpi=dpi) ax = fig.add_subplot(projection='3d') ax.grid() ax.scatter(points[:, 0], points[:, 1], points[:, 2]) diff --git a/Tutorials/2. BC/1. dirichlet.ipynb b/Tutorials/2. BC/1. dirichlet.ipynb index d04fe31..27c364d 100644 --- a/Tutorials/2. BC/1. dirichlet.ipynb +++ b/Tutorials/2. BC/1. dirichlet.ipynb @@ -47,7 +47,7 @@ "outputs": [ { "data": { - "image/png": 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", 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", 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" ] @@ -89,7 +89,7 @@ "outputs": [ { "data": { - "image/png": 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", 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", 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KceQGAADYCuEGgOWV1NTrusde0p0b3pQk3bnhTV332EvcnRiIUoQbAJbW+fiFT97Mr+EEj18AohXhBoBl8fgFAP4QbgBYFo9fAOAP4QaAZfH4BQD+EG4AWNbwC9whrQNgD4QbAJblM4JbSxNsHQB7INwAsKw3glxLE2wdAHsg3ACwLCPIIzLB1gGwB8INAMsaGh8b0joA9kC4AWBZw4d4+i7qRx0AeyDcALCslITgQkuwdQDsgXADwLKyM5KUmhg4uKQmepSdkRShjgAMBIQbAJblcjqUNSohYE3WqAS5nI4IdQRgICDcALCs9jM+/aW2KWDNX2qb1H7GF6GOAAwEhBsAlrXh9Tq/D808n/GvOgDRg3ADwLLePPRhSOsA2APhBoBlxccG9yMs2DoA9sCfeACWdUXKkJDWAbAHwg0AyzrQ+FFI6wDYA+EGgGW1tneEtA6APRBuAFjW1enDQloHwB4INwAsa941GSGtA2APhBsAluVyOhQf5wpYEx/n4g7FQJQh3ACwrMq65j7X07S2d6iyrjlCHQEYCAg3ACyr6eTpkNYBsAfCDQDLGjEk8BPB+1sHwB4INwAsKzsjSamJgYNLaqJH2RlJEeoIwEBAuAFgWS6nQ1mjEgLWZI1KYEExEGUINwAsq/2MT6W1TQFrSmub1H7GF6GOAAwEhBsAlvWb/10X0joA9kC4AWBZpbUNIa0DYA+EGwAAYCumh5vVq1crPT1dHo9HU6dOVWVlZcD648eP65577lFqaqrcbrc+97nPafv27RHqFsBAMiMzJaR1AOzB1HCzefNmFRQUqKioSFVVVRo/frxyc3PV1OR/gWB7e7umT5+uQ4cO6fe//70OHDigdevWadSoURHuHMBA8B/XZqiv66Ac/6oDED1MDTerVq3SggULNH/+fGVmZmrt2rWKj4/X+vXr/davX79ezc3N2rJli6699lqlp6frhhtu0Pjx4yPcOYCBIC7Gqbu+GDi43PXFDMXFmH6QGkAExZj1G7e3t2v37t0qLCzsGnM6nZo2bZoqKir8bvPHP/5ROTk5uueee/SHP/xBF110kWbPnq0lS5bI5fL/8Ly2tja1tbV1vW5paZEkeb1eeb3eEO6RNXXOAXMRXsxz+EwYnSC3y5AkuZ3d/9v5PvMeWnyeI4e5Pqc/c2BauDl27Jg6OjqUnJzcbTw5OVn79+/3u83Bgwf10ksv6fbbb9f27dv1zjvv6Lvf/a68Xq+Kior8blNcXKwVK1b0GN+5c6fi4+M/+47YRGlpqdktRAXmOTx+mN399cop5+5r0163W9u5Ejws+DxHDnMttba2Bl1rWrj5NHw+n0aMGKGnnnpKLpdLkydP1pEjR/SjH/2o13BTWFiogoKCrtctLS1KS0vTjBkzlJAQ+M6m0cDr9aq0tFTTp09XbGys2e3YFvMcHpV1zbpzw5tdr91OQyun+LTsLafafOdW46yfdzWPYAghPs+Rw1yf03nmJRimhZvhw4fL5XKpsbGx23hjY6NSUvxf2ZCamqrY2Nhup6DGjRunhoYGtbe3Ky4ursc2brdbbre7x3hsbGzUf1DOx3xEBvMcWsdaz6ito+eS4jafo9v4sdYzzHsY8HmOHOZa/dp/01bZxcXFafLkySorK+sa8/l8KisrU05Ojt9trr32Wr3zzjvy+c4dcn777beVmprqN9gAsDeeCg7AH1MvISgoKNC6deu0YcMG7du3TwsXLtSpU6c0f/58SdLcuXO7LTheuHChmpubtWjRIr399tvatm2bHnnkEd1zzz1m7QIAE00eMyyoS8EnjxkWiXYADBCmrrmZNWuWjh49quXLl6uhoUETJkxQSUlJ1yLjw4cPy+k8l7/S0tK0Y8cO3Xfffbrqqqs0atQoLVq0SEuWLDFrFwCY6I2D/5TRR43xr7rrP3dRJFoCMACYvqA4Pz9f+fn5ft8rLy/vMZaTk6Ndu3aFuSsAVvBC1f8Juo5wA0QP7mwFwLJOtXeEtA6APRBuAFjWxIuHhrQOgD0QbgBYlqvP5cT9qwNgD4QbAJb1f058HNI6APZAuAFgWWOSgnuESrB1AOyBcAPAsubkpMvZxxknp+NsHYDoQbgBYFlxMU4tuD4jYM2C6zMUF8OPOiCamH6fGwD4LApvypQkrXu1+6O/nY6zwabzfQDRg3/OALAFwwj8GkD04MgNAEsr3l6rX75S12PckLrGOXoDRBeO3ACwrPYzvh6noz5p3at1aj/ji1BHAAYCwg0Ay3qm4pB8fZx+8hln6wBED8INAMs69M9TIa0DYA+EGwAAYCuEGwCWNSFtWEjrANgD4QaAZY0cOiikdQDsgXADwLKyM5KUmugJWJOa6FF2RlKEOgIwEBBuAFiWy+lQUV6menu8lENSUV6mXH09gAqArfQr3Pztb3/Tf//3f+vJJ5/UsWPHur3X0tKiO++8M6TNAUBfZmalas0dk3ocwUlN9GjNHZM0MyvVpM4AmCXocLNz505lZ2dr06ZNeuyxxzR27Fi9/PLLXe9//PHH2rBhQ1iaBIBAZmal6rUlX9H6eVdLktbPu1qvLfkKwQaIUkGHm4ceekjf+973VFNTo0OHDmnx4sX62te+ppKSknD2BwAA0C9BP1vq73//u5555hlJksPh0OLFizV69Gh985vf1KZNm3T11VeHrUkACKSkpl4rttaq+aOP9cNs6c4Nbypp8CAV5WVy9AaIQkEfuXG73Tp+/Hi3sdmzZ+tXv/qVZs2apRdffDHUvQFAn0pq6rVwY5XqT5zuNt5w4rQWbqxSSU29SZ0BMEvQR24mTJigl19+WZMnT+42/q1vfUuGYWjevHkhbw4AAunwGVqxtVb+Hi9l6OzVUiu21mp6ZgpXTAFRJOgjNwsXLtSRI0f8vnfbbbfp6aef1he/+MWQNQYAfamsa+5xxOZ8hqT6E6dVWdccuaYAmC7ocPP1r39dP/nJT3p9f/bs2d2unvqf//kfnTrFw+oAhE/Tyd6DzaepA2APYbuJ33/+53+qsbExXF8eADRiSOC7E/e3DoA9hC3cGIa/s+AAEDo8fgGAPzx+AYBluZwOZY1KCFiTNSqBxcRAlCHcALCs9jM+/aW2KWDNX2qb1H7GF6GOAAwEhBsAlvX0/67zexn4+Yx/1QGIHoQbAJa14+8NIa0DYA/9DjfnX+79Sb/85S+7/n/MmDGKjY39dF0BQBAaW4K7xDvYOgD20O9wM3PmTN1///3yer1dY8eOHVNeXp6WLl3aNVZTU6O0tLTQdAkAfrhjglsoHGwdAHv4VEduXnzxRV199dWqra3Vtm3blJWVpZaWFlVXV4ehRQDwb8SQQSGtA2AP/Q4311xzjaqrq5WVlaVJkybp61//uu677z6Vl5drzJgx4egRAPwaPsQd0joA9vCpFhS//fbbeuuttzR69GjFxMTowIEDam1tDXVvABCQyxHc6aZg6wDYQ7/DzaOPPqqcnBxNnz5dNTU1qqys1J49e3TVVVepoqIiHD0CgF8jhwV3uinYOgD20O9w88QTT2jLli36+c9/Lo/Ho6ysLFVWVuob3/iGvvSlL4WhRQDw79rLhoe0DoA9xPR3g71792r48O4/KGJjY/WjH/1I//Zv/xayxgCgL5MuHhbSOgD20O8jN58MNue74YYbPlMzANAfz73xXkjrANgDdygGYFnvNQd3IUOwdQDsgXADwLLGJMWHtA6APRBuAFjWnJx0Ofu4ytvpOFsHIHoQbgBYVlyMUwuuzwhYs+D6DMXF8KMOiCb9vloKAAaSwpsyJUnrXq3rNu50nA02ne8DiB78cwaA5U28eJiGXxDXbWz4BXGayCXgQFQi3ACwtJKaet29sUpNH7V3G2/6qF13b6xSSU29SZ0BMAvhBoBldfgMLX1hb8Cawhf2qsNnRKgjAAMB4QaAZe06+E8db/UGrPmw1atdB/8ZoY4ADASEGwCW9do7R0NaB8AeCDcALOtvh4+HtA6APRBuAFjW6TMdIa0DYA+EGwCWNSg2uFt1BVsHwB4INwAs66rRQ0NaB8AeCDcALOuaSy4MaR0AeyDcALCuPh6a2e86ALYwIMLN6tWrlZ6eLo/Ho6lTp6qysjKo7TZt2iSHw6FbbrklvA0CGJDeqGsOaR0AezA93GzevFkFBQUqKipSVVWVxo8fr9zcXDU1NQXc7tChQ/re976n66+/PkKdAhh4gr3zMHcoBqKJ6eFm1apVWrBggebPn6/MzEytXbtW8fHxWr9+fa/bdHR06Pbbb9eKFSt0ySWXRLBbAANJziXDQ1oHwB5MvT6yvb1du3fvVmFhYdeY0+nUtGnTVFFR0et2Dz/8sEaMGKFvf/vbevXVVwP+Hm1tbWpra+t63dLSIknyer3yegPftj0adM4BcxFezHN4TL44QcmDY3T847Pz6nYa3f4rSUMHxWryxQnMfQjxeY4c5vqc/syBqeHm2LFj6ujoUHJycrfx5ORk7d+/3+82r732mn7961+ruro6qN+juLhYK1as6DG+c+dOxcfH97tnuyotLTW7hajAPIfe96/sObZyiu+8Vx3aUfLniPUTTfg8Rw5zLbW2tgZda6k7W508eVJz5szRunXrNHx4cIeZCwsLVVBQ0PW6paVFaWlpmjFjhhISEsLVqmV4vV6VlpZq+vTpio2NNbsd22Kew+sv+xpVvH2fjp86rZVTfFr2llNDL/Co8KZxmjYuue8vgH7h8xw5zPU5nWdegmFquBk+fLhcLpcaGxu7jTc2NiolJaVH/bvvvqtDhw4pLy+va8znO/svtJiYGB04cECXXnppt23cbrfcbnePrxUbGxv1H5TzMR+RwTyHx41XjdaMrFHa9U6Tju3bpTVzsvWFy0bI5eQa8HDi8xw5zLX6tf+mLiiOi4vT5MmTVVZW1jXm8/lUVlamnJycHvVjx47V3r17VV1d3fXra1/7mr785S+rurpaaWlpkWwfwADicjqUnZEkScrOSCLYAFHM9NNSBQUFmjdvnqZMmaLs7Gz99Kc/1alTpzR//nxJ0ty5czVq1CgVFxfL4/EoKyur2/ZDhw6VpB7jAAAgOpkebmbNmqWjR49q+fLlamho0IQJE1RSUtK1yPjw4cNyOk2/Yh0AAFiE6eFGkvLz85Wfn+/3vfLy8oDbPv3006FvCIDldPgMVf7rTsSVdc2suQGiGIdEAFheSU29rnvsJd254U1J0p0b3tR1j72kkpp6kzsDYAbCDQBLK6mp18KNVao/cbrbeMOJ01q4sYqAA0Qhwg0Ay+rwGVqxtdbvk6M6x1ZsrVWHj2dLAdGEcAPAsirrmnscsTmfIan+xOmutTgAogPhBoBlNZ3sPdh8mjoA9kC4AWBZI4Z4QloHwB4INwAsKzsjSamJHvV2wbdDUmqip+vOxQCiA+EGgGW5nA4V5WVKUo+A0/m6KC+T+90AUYZwA8DSZmalas0dk5SS2P3UU0qiR2vumKSZWakmdQbALAPiDsUA8FnMzErV9MyUrqeCr593NXcoBqIYR24A2AJPBQfQiXADAABshXADAABshXADAABshXADwBY6fEbXYxYq65p5nhQQxQg3ACyvpKZe1z32ku7c8KYk6c4Nb+q6x17iieBAlCLcALC0kpp6LdxY1eMBmg0nTmvhxioCDhCFCDcALKvDZ2jF1lr5OwHVObZiay2nqIAoQ7gBYFmVdc09jticz5BUf+J011ocANGBcAPAsppO9h5sPk0dAHsg3ACwrBFDPH0X9aMOgD0QbgBY1uQxw9TXUxacjrN1AKIH4QaAZe1+70P1tVbYZ5ytAxA9CDcALIs1NwD8IdwAsCzW3ADwh3ADwLKyM5I0ND42YM3Q+FhlZyRFqCMAAwHhBoCt9bHeGIANEW4AWFZlXbOOt3oD1nzY6uUmfkCUIdwAsCwWFAPwh3ADwLJYUAzAH8INAMvKzkhSaqKn13U1DkmpiR4WFANRhnADwLJcToeK8jIl9Vw43Pm6KC9Trr5uYwzAVgg3ACxtZlaq1twxSckJ7m7jyQlurbljkmZmpZrUGQCzEG4A2ERvx24ARBvCDQBLK6mp18KNVWpo6X5FVGPLaS3cWKWSmnqTOgNgFsINAMvq8BlasbVW/p6d2Tm2YmutOvp6uiYAWyHcALCsyrpm1Z/o/R42hqT6E6e5iR8QZQg3ACyLm/gB8IdwA8CyuIkfAH8INwAsa/KYYerrFjZOx9k6ANGDcAPAsna/96H6WivsM87WAYgehBsAlsWaGwD+EG4AWBZrbgD4Q7gBYFmsuQHgD+EGgGWx5gaAP4QbAJbFmhsA/hBuAFjWUE9sSOsA2APhBoBlle5rDGkdAHsg3ACwrPeaW0NaB8AeCDcALCv9wviQ1gGwB8INAMv63oyxIa0DYA+EGwCW9fvd74e0DoA9EG4AWBZrbgD4Q7gBYFljkoJbSxNsHQB7INwAsKw5OelBPX5hTk56RPoBMDAQbgBYVlyMUwuuzwhYs+D6DMXF8KMOiCYxZjcAAJ9F4U2ZkqR1r9Z1G3c6zgabzvcBRI8B8c+Z1atXKz09XR6PR1OnTlVlZWWvtevWrdP111+vYcOGadiwYZo2bVrAegD2V3hTpvavvFFLcq+QJC3JvUL7V95IsAGilOnhZvPmzSooKFBRUZGqqqo0fvx45ebmqqmpyW99eXm5brvtNr388suqqKhQWlqaZsyYoSNHjkS4cwADSVyMs2ttzZycdE5FAVHM9NNSq1at0oIFCzR//nxJ0tq1a7Vt2zatX79eS5cu7VH/7LPPdnv9q1/9Ss8//7zKyso0d+7cHvVtbW1qa2vret3S0iJJ8nq98nq9odwVS+qcA+YivJjn8OvwGXrz4FFJ0q53mnT1JRfJ1ddqY3wqfJ4jh7k+pz9zYGq4aW9v1+7du1VYWNg15nQ6NW3aNFVUVAT1NVpbW+X1epWUlOT3/eLiYq1YsaLH+M6dOxUfz+WhnUpLS81uISowz5HR/PZb2vG22V3YH5/nyGGuz/59HyxTw82xY8fU0dGh5OTkbuPJycnav39/UF9jyZIlGjlypKZNm+b3/cLCQhUUFHS9bmlp6TqVlZCQ8Ombtwmv16vS0lJNnz5dsbGxZrdjW8xz+PxlX6Pu21wtQ5LbaWjlFJ+WveVUu+/sUZufzJqgaeOSA38R9Auf58hhrs/pPPMSDNNPS30Wjz76qDZt2qTy8nJ5PB6/NW63W263u8d4bGxs1H9Qzsd8RAbzHFodPkMPbzug0x3dTz+1+Rxq63DIIenhbQc0I2sUp6jCgM9z5DDX6tf+m7ribvjw4XK5XGpsbOw23tjYqJSUlIDb/vjHP9ajjz6qnTt36qqrrgpnmwAGqMq6ZtWfON3r+4ak+hOnVVnXHLmmAJjO1HATFxenyZMnq6ysrGvM5/OprKxMOTk5vW73wx/+UCtXrlRJSYmmTJkSiVYBDEBNJ3sPNp+mDoA9mH5aqqCgQPPmzdOUKVOUnZ2tn/70pzp16lTX1VNz587VqFGjVFxcLEl67LHHtHz5cj333HNKT09XQ0ODJGnw4MEaPHiwafsBIPJGDPF/OvrT1gGwB9PDzaxZs3T06FEtX75cDQ0NmjBhgkpKSroWGR8+fFhO57kDTGvWrFF7e7u++c1vdvs6RUVFeuihhyLZOgCTZWckaWh8rI639n6J6LD4WGVn+L+aEoA9mR5uJCk/P1/5+fl+3ysvL+/2+tChQ+FvCIBtGGY3ACDiuIUnAMuqrGsOeNRGko63ellQDEQZwg0Ay2JBMQB/CDcALIsFxQD8IdwAsKzsjCSlJnrU2+35HJJSEz0sKAaiDOEGgGW5nA4V5WUGrCnKy+TuxECUIdwAsLSZWam664sZ+mR+cTqku76YoZlZqeY0BsA0hBsAllZSU69fvlIn3yeu+fYZ0i9fqVNJTb05jQEwDeEGgGV1+AwtfWFvwJrCF/aq45PJB4CtEW4AWNaug//s8z43H7Z6tevgPyPUEYCBgHADwLIq3g0utARbB8AeCDcALCzY002clgKiCeEGgGXlXDI8pHUA7IFwA8CyvnDphRoaHxuwZmh8rL5w6YUR6gjAQEC4AWBZLqdDj37jyoA1j37jSm7iB0QZwg0AS5uZlaq1d0xS8pC4buPJQ+K09o5J3MQPiEKEGwC24HA4A74GED340w/A0kpq6rVwY5UaWk53G29sOa2FG6u4QzEQhQg3ACyrw2doxdZavxd6d46t2FrLHYqBKEO4AWBZlXXNqj9xutf3DUn1J06rsq45ck0BMB3hBoBlNZ3sPdh8mjoA9kC4AWBZI4Z4QloHwB4INwAsKzsjSamJHvV2FxuHpNREj7IzkiLZFgCTEW4AWJbL6VBRXmbAmqK8TG7iB0QZwg0AS5uZlappmSP8vjctcwQ38QOiEOEGgKUVb69VaW2T3/dKa5tUvL02wh0BMBvhBoBltZ/x6alX6wLWPPVqndrP+CLUEYCBgHADwLI2vH5IRh/35zOMs3UAogfhBoBlvXkouJvzBVsHwB4INwAsKz7OFdI6APZAuAFgWZcnXxDSOgD2QLgBYFn/aDgV0joA9kC4AWBZrd6OkNYBsAfCDQDLmjxmWEjrANgD4QaAZWWmJoS0DoA9EG4AWFZza3tI6wDYA+EGgGWNGOIJaR0AeyDcALCsyWOGqa8HfjsdrLkBog3hBoBl7X7vQ/n6ePyCzzhbByB6EG4AWFbTydMhrQNgD4QbAJbFmhsA/hBuAFhWdkaSUhMDB5fURI+yM5Ii1BGAgYBwA8CyXE6HvjY+NWDN18anytXXqmMAtkK4AWBZHT5Df/xbfcCaP/6tXh19rToGYCuEGwCWVVnXrPoTgRcL1584rcq65gh1BGAgINwAsKyGluCuggq2DoA9EG4AWFbzR20hrQNgD4QbAJY1ND4upHUA7IFwA8Cyjgf5QMxg6wDYA+EGgGVx5AaAP4QbAJbVfCrINTdB1gGwB8INAMs63uoNaR0AeyDcAAAAWyHcALAs1twA8IdwA8Cyki4ILrQEWwfAHgg3ACyLS8EB+EO4AWBZHLkB4M+ACDerV69Wenq6PB6Ppk6dqsrKyoD1v/vd7zR27Fh5PB5deeWV2r59e4Q6BTCQjBjiCWkdAHswPdxs3rxZBQUFKioqUlVVlcaPH6/c3Fw1NTX5rX/99dd122236dvf/rb27NmjW265Rbfccotqamoi3DkA0zlCXAfAFkwPN6tWrdKCBQs0f/58ZWZmau3atYqPj9f69ev91j/xxBOaOXOm7r//fo0bN04rV67UpEmT9Itf/CLCnQMw27EgH4gZbB0Ae4gx8zdvb2/X7t27VVhY2DXmdDo1bdo0VVRU+N2moqJCBQUF3cZyc3O1ZcsWv/VtbW1qazv3g62lpUWS5PV65fVyY6/OOWAuwot5Do/h8TFyu4yu126n0e2/59cx96HD5zlymOtz+jMHpoabY8eOqaOjQ8nJyd3Gk5OTtX//fr/bNDQ0+K1vaGjwW19cXKwVK1b0GN+5c6fi4+M/Zef2U1paanYLUYF5Dr0fZvccWznF1+31sX27tH1fhBqKInyeI4e5llpbW4OuNTXcREJhYWG3Iz0tLS1KS0vTjBkzlJCQYGJnA4PX61VpaammT5+u2NhYs9uxLeY5fP6yr1H3ba6WJMU5Da2c4tOyt5xq951daPOTWRM0bVxygK+A/uLzHDnM9TmdZ16CYWq4GT58uFwulxobG7uNNzY2KiUlxe82KSkp/ap3u91yu909xmNjY6P+g3I+5iMymOfQu/Gq0XI4XVqxtVbNH30sSWrzOZQ0eJCK8jI1MyvV5A7ti89z5DDX6tf+m7qgOC4uTpMnT1ZZWVnXmM/nU1lZmXJycvxuk5OT061eOnu4rrd6APY3MytVry35itbPu1qStH7e1XptyVcINkCUMv1qqYKCAq1bt04bNmzQvn37tHDhQp06dUrz58+XJM2dO7fbguNFixappKREjz/+uPbv36+HHnpIb731lvLz883aBQADgMvpUHZGkiQpOyNJLifXfwPRyvQ1N7NmzdLRo0e1fPlyNTQ0aMKECSopKelaNHz48GE5necy2DXXXKPnnntODz74oL7//e/r8ssv15YtW5SVlWXWLgAAgAHE9HAjSfn5+b0eeSkvL+8xduutt+rWW28Nc1cAAMCKTD8tBQAAEEqEGwAAYCuEGwAAYCuEGwAAYCuEGwAAYCuEGwAAYCuEGwAAYCsD4j43kWQYhqT+PYDLzrxer1pbW9XS0hL1zy0JJ+Y5MpjnyGCeI4e5Pqfz7+3Ov8cDibpwc/LkSUlSWlqayZ0AAID+OnnypBITEwPWOIxgIpCN+Hw+ffDBBxoyZIgcDp4909LSorS0NL3//vtKSEgwux3bYp4jg3mODOY5cpjrcwzD0MmTJzVy5Mhuj2XyJ+qO3DidTo0ePdrsNgachISEqP+DEwnMc2Qwz5HBPEcOc31WX0dsOrGgGAAA2ArhBgAA2ArhJsq53W4VFRXJ7Xab3YqtMc+RwTxHBvMcOcz1pxN1C4oBAIC9ceQGAADYCuEGAADYCuEGAADYCuEGAADYCuHGZlavXq309HR5PB5NnTpVlZWVvdZ6vV49/PDDuvTSS+XxeDR+/HiVlJT0qDty5IjuuOMOXXjhhRo0aJCuvPJKvfXWW+HcDUsI9Vx3dHRo2bJlysjI0KBBg3TppZdq5cqVQT1HxY5eeeUV5eXlaeTIkXI4HNqyZUuf25SXl2vSpElyu9267LLL9PTTT/eo6c/3LVqEY66Li4t19dVXa8iQIRoxYoRuueUWHThwIDw7YBHh+kx3evTRR+VwOHTvvfeGrGfLMmAbmzZtMuLi4oz169cbf//7340FCxYYQ4cONRobG/3WL1682Bg5cqSxbds249133zWefPJJw+PxGFVVVV01zc3NxpgxY4z/+I//MN544w3j4MGDxo4dO4x33nknUrs1IIVjrn/wgx8YF154ofGnP/3JqKurM373u98ZgwcPNp544olI7daAsn37duOBBx4wXnjhBUOS8eKLLwasP3jwoBEfH28UFBQYtbW1xs9//nPD5XIZJSUlXTX9/b5Fi3DMdW5urvGb3/zGqKmpMaqrq42bbrrJuPjii42PPvoozHszcIVjnjtVVlYa6enpxlVXXWUsWrQoPDtgIYQbG8nOzjbuueeertcdHR3GyJEjjeLiYr/1qampxi9+8YtuY9/4xjeM22+/vev1kiVLjOuuuy48DVtYOOb65ptvNu68886ANdEqmL8IFi9ebHz+85/vNjZr1iwjNze363V/v2/RKFRz/UlNTU2GJOOvf/1rKNq0vFDO88mTJ43LL7/cKC0tNW644QbCjWEYnJayifb2du3evVvTpk3rGnM6nZo2bZoqKir8btPW1iaPx9NtbNCgQXrttde6Xv/xj3/UlClTdOutt2rEiBGaOHGi1q1bF56dsIhwzfU111yjsrIyvf3225Kkv/3tb3rttdd04403hmEv7KeioqLb90SScnNzu74nn+b7Bv/6mmt/Tpw4IUlKSkoKa292Euw833PPPbr55pt71EYzwo1NHDt2TB0dHUpOTu42npycrIaGBr/b5ObmatWqVfrHP/4hn8+n0tJSvfDCC6qvr++qOXjwoNasWaPLL79cO3bs0MKFC/Vf//Vf2rBhQ1j3ZyAL11wvXbpU3/rWtzR27FjFxsZq4sSJuvfee3X77beHdX/soqGhwe/3pKWlRR9//PGn+r7Bv77m+pN8Pp/uvfdeXXvttcrKyopUm5YXzDxv2rRJVVVVKi4uNqPFAYtwE8WeeOIJXX755Ro7dqzi4uKUn5+v+fPnd3uUvM/n06RJk/TII49o4sSJuuuuu7RgwQKtXbvWxM6tJ5i5/u1vf6tnn31Wzz33nKqqqrRhwwb9+Mc/juogCXu45557VFNTo02bNpndiq28//77WrRokZ599tkeR4ajHeHGJoYPHy6Xy6XGxsZu442NjUpJSfG7zUUXXaQtW7bo1KlTeu+997R//34NHjxYl1xySVdNamqqMjMzu203btw4HT58OPQ7YRHhmuv777+/6+jNlVdeqTlz5ui+++7jX2RBSklJ8fs9SUhI0KBBgz7V9w3+9TXX58vPz9ef/vQnvfzyyxo9enQk27S8vuZ59+7dampq0qRJkxQTE6OYmBj99a9/1c9+9jPFxMSoo6PDpM7NR7ixibi4OE2ePFllZWVdYz6fT2VlZcrJyQm4rcfj0ahRo3TmzBk9//zz+vd///eu96699toel2++/fbbGjNmTGh3wELCNdetra3djuRIksvlks/nC+0O2FROTk6374kklZaWdn1PPsv3Dd31NdeSZBiG8vPz9eKLL+qll15SRkZGpNu0vL7m+atf/ar27t2r6urqrl9TpkzR7bffrurqarlcLjPaHhjMXtGM0Nm0aZPhdruNp59+2qitrTXuuusuY+jQoUZDQ4NhGIYxZ84cY+nSpV31u3btMp5//nnj3XffNV555RXjK1/5ipGRkWF8+OGHXTWVlZVGTEyM8YMf/MD4xz/+YTz77LNGfHy8sXHjxkjv3oASjrmeN2+eMWrUqK5LwV944QVj+PDhxuLFiyO9ewPCyZMnjT179hh79uwxJBmrVq0y9uzZY7z33nuGYRjG0qVLjTlz5nTVd142e//99xv79u0zVq9e7fdS8EDft2gVjrleuHChkZiYaJSXlxv19fVdv1pbWyO+fwNFOOb5k7ha6izCjc38/Oc/Ny6++GIjLi7OyM7ONnbt2tX13g033GDMmzev63V5ebkxbtw4w+12GxdeeKExZ84c48iRIz2+5tatW42srCzD7XYbY8eONZ566qlI7MqAF+q5bmlpMRYtWmRcfPHFhsfjMS655BLjgQceMNra2iK1SwPKyy+/bEjq8atzXufNm2fccMMNPbaZMGGCERcXZ1xyySXGb37zmx5fN9D3LVqFY679fT1Jfr8n0SJcn+nzEW7OchhGlN7+FAAA2BJrbgAAgK0QbgAAgK0QbgAAgK0QbgAAgK0QbgAAgK0QbgAAgK0QbgAAgK0QbgAAgK0QbgAAgK0QbgDYWn19vWbPnq3Pfe5zcjqduvfee81uCUCYEW4A2FpbW5suuugiPfjggxo/frzZ7QCIAMINgAHv6NGjSklJ0SOPPNI19vrrrysuLk5lZWUBt01PT9cTTzyhuXPnKjExMdytAhgAYsxuAAD6ctFFF2n9+vW65ZZbNGPGDF1xxRWaM2eO8vPz9dWvftXs9gAMMIQbAJZw0003acGCBbr99ts1ZcoUXXDBBSouLja7LQADEKelAFjGj3/8Y505c0a/+93v9Oyzz8rtdpvdEoABiHADwDLeffddffDBB/L5fDp06JDZ7QAYoDgtBcAS2tvbdccdd2jWrFm64oor9J3vfEd79+7ViBEjzG4NwABDuAFgCQ888IBOnDihn/3sZxo8eLC2b9+uO++8U3/605/63La6ulqS9NFHH+no0aOqrq5WXFycMjMzw9w1ADM4DMMwzG4CAAIpLy/X9OnT9fLLL+u6666TJB06dEjjx4/Xo48+qoULFwbc3uFw9BgbM2YMp7YAmyLcAAAAW2FBMQAAsBXCDQBL+/znP6/Bgwf7/fXss8+a3R4AE3BaCoClvffee/J6vX7fS05O1pAhQyLcEQCzEW4AAICtcFoKAADYCuEGAADYCuEGAADYCuEGAADYCuEGAADYCuEGAADYCuEGAADYyv8FIAKjEosNq9kAAAAASUVORK5CYII=", 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", 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Bd/z9HL/bxMTYMPOeYfXOKSHBgfseGO5znaIIWCwK7n9oRJ37uezOPkhItPu+wArg4uu7Ia23eY99OeKsGHFXD8OYjL91Rmwb360Cv5vVC1EtbH4LoHOndkHb7icKqHFPDIBQhN+C4ZInBsBiD814C3FnxKHPTb19rhOqgDXWiv7T+xvuwxLrQOepF/heqQgoFgU97xmF+D7tAV+3xRSBuB7JSLrwrFqrHGe2R8KIc/3sW4EaF4NWY37vc7UtuQ1aXOwvLwVKtAOt/3TRiUVRMYgaeZXv+FMJAWuPQbB07gN1yG3VzV9+Cwbfy0X3SyESAnu0uE6tLgZi+sH3ZUIBovsArf7YOMeiJi/kxUJGRgays7O9lq1ZswYZGRmhPjSA6p7h2R/vwRV/+Q9693gO6QNfwLyHv8ShgsDuIfvy4NwRyLp/OOLjvZtR089pj49zrkZaWosGZm2e26anY8GTF6L1KbcN+vRti9Uf/9XnmBFZ9w/HAw+NQEKC9/sfNDgFH+dcjc6dG3YRnjptMJ5adBHatPG+TXBW7zZY9dFVAQ1+1TolGgvXjkbf871jHbEWXHVPP9yyyHfBE0qjH+6HP8w+q1YBI1SB82/vhj8vGuh325ap0bh1fSY6npfotdweZ8HI+3rjT0+d7bW88/C2+NuHw9Gmm/dAPQnto3DV/52DwZM6NvDdGBs8exAG3TMQ1jjvwabaDmyDMR+MRvyZdQ8glDphMLrPvBjWlt6/B7Gd22DAs1choXd79H/ycrQb1QfipH4uQhVIurAXBiy6Eqqf1omkKZej9aUX1brVEN2rK8584B+wtGrhN6+2V1+KxAl/hBLlXdhFde+EM+//O6xtWnkvHzYG0ZfcABFj0EJqscKeMQqxV/4dQgiI5AFQLnwCOPXCH90GYvAtQHL/U7aPhtL/Oijn3OH/GEESig2i+1Kg9SXwHpJHBVqPgeixDEKpXwsiNT9BT1FdVlaGXbuqe2wPGDAACxYswIgRI9CqVSucccYZmDVrFg4cOIBXXnkFQPWjk71798bNN9+Ma6+9Fp988gluvfVWrFy5MuD5tOs73aiUEnfc+iGWvpAL1SKg/dabXFEE4uNteP9/VzRoAKHKSjfWfpmHygo3uvdIRLfudQ8001S5XBrWrc1DSbETnTq3RO8+bevcpqrKg7Vf5qG8zIXuPVqje4/EOrcJhttdnVNxkRNpHVugb7/6DXZ1YFcJ9m45BptdRZ/zk+CICXy0xFDQPDq+fXkPDu0oRatOsRgyOQ1Woyb3UxzeWYr8H4thjVLR6fw2sEX731ZKibxvj6JofwVi2tjRcWgilAA6kDYWT6UH+V8XwFPuRouuLdCiW4ug96F7NBTl5sFT6kRU+xaI61b798B1tBzFW34FIJFwVnvYWsfU3pGvfVc5UbFtF6TbA/sZKbAlB36/X3e5ULltF3SnG/YOyYYDOQGA1Dzw7N120giOMdB+3QMoCixn9oQSVTtnKSVwZDtkWT6EoyXQtg+EUt0iJIv3QxbtAVQ7RHJ/CEvo+klJ9xGgLBfVIzj2h7A27t96Y+MU1Y0v6GIhJycHI0bUbgaeNGkSli1bhmuuuQZ79+5FTk6O1zZ33HEHtm7dig4dOmD27Nm45pprAj5mfX/wL7/0HW6Z+j+f61RVIDExGj/unAqbicPfEhFRaLFYaHxBFwvhUJ8fvJQSg/ovwa6fjvoce+W4pS+PxfjLejVSpkREFG4sFhpfk3waojEcPVqFn3YaFwoWi4K1a5vOY5lERERNUcQWC404+SEREdFpLWKLhZYtHejWvbVh0eDx6Bg27AzzkiIiImqGIrZYEELg1tuH+L0NoaoCycmxGHNJN3MTIyIiamYitlgAgKsn9cWUv1U/f2456dn26kcn7Xjr3b/wSQgiIqI6NP0xiRtACIHHnvgDxlzSDS88vwlbvj+E6BgbLh3fA5Ou6Yc2bQN7FpuIiOh0FtHFAlBdMFwwIg0XjEgLdypERETNUkTfhjiZpuk4fKgcpaVNf+poIiKipiTiWxbKylx44vGv8OLzm3H0aPWU2OcPPwN3zjwXwy9IC29yREREzUBEtyyUlbkw6sJX8fj89TWFAgCs/TIPY0ctx4rXfwxjdkRERM1DRBcLTzz+Fb7/7hB03fv5SU2TkBKYdtMqryKCiIiIaovYYkHTdLy4ZHOtQuFkLpeG5a9tMTErIiKi5idi+ywcPVKJo0eMWw1UVcGO7UdMyoiIiE4lpRseuQYu7S3oyIeCFNjU8bCITAgRsZeoZidifxKOqMDeWlSAcURE1LikLEO55xpochOqG7p16NgJj+cTqCIdMZalECIq3Gn6FfeDBXGxDRvYT5ZpjZRNaEXsbYi4ODuGX3AmVNX/5BAej46xl3Q3MSsiIjqu0jMbmsz97V+61381+Q0qPfeHIy3yIWKLBQC4c+a5fvssqKpAekZ7ZAztYHJWRESky0Nwy/dxokioFQG3/A90edTMtMiPiC4Wzh9+Jp5/cQzsDhVCABaLAoul+i0PGpyC5W+Oh+Bc1kREpvPoG+C/UKiJgiY3mpEO1SHib9hPuOIsXHhRZyx/bQu2bytEVJQFl4zrjnPO7cBCgYgobOoqFIKNo1CK+GIBAFq2dOCmmweFOw0iIvqNIloHFCfQNsSZUCBOi2Lh4MFS3HfvZ9iy5RCio62YfH1/XH5FbygKWxaIiMJBl4cDipPID3EmFIiILxZm3/0Jnnxig9eyr786gJl3ZuPLrybjjDMSwpQZEdHpSwhbgJGBxlEoRXQHxyX/2lSrUDiu6FgVhqUvhZT+R3gkIqLQUMU5qPv7qg0WMdiMdKgOEV0sPPTAF4bri4qceOnFXHOSISKiGopoBatyGfxfhgRsylUQIt7MtMiPiC0WCvLL6hzuGQCWLf3OhGyIiOhUUepsWMTw3/6lev3XIv4AhzojLHlRbRHbZyGQQgEAKipcIc6EiIh8EcKOaMsL0ORXcOlvQ5cFUEQSbMpfoIrBfLy9CYnYYqFj5xaAAFBHl4TOXVqZkQ4REfkghIBFZMCiZIQ7FTIQsbchHA4rBg1KqTPu/gcvCH0yREREzVjEFgsA8PL/XQKbzf+MYBMuPwvdeySamBEREVHzE9HFQuoZCdj0/Q3o09d7BLCoaAvunHkulrw0JkyZERERNR8R22fhuDPOTMDar6/FkSMV2La1EAkJdvTu05YdZ4iIiAIU8cXCca1bR2PYeWeEOw0iIqJmJ6JvQxAREVHDsVggIiIiQywWiIiIyBCLBSIiIjLEYoGIiIgMsVggIiIiQywWiIiIyBCLBSIiIjLEYoGIiIgMsVggIiIiQ6fFcM+7dh3Fy0u/w9athxEbY8Mfx3bD2HHdYLefFm+fiIioQSL+avn0wq9x792fQlEENE1CUQTeeXs7OnVuifdXXY7UMxLCnSIREVGTFtG3IT54byfumfUppAQ0TQIAdL36v/v2FuHSS96o+TcRERH5FtHFwuOProei+J6KWtMkdmw/go/X7DY5KyIiouYlYouF4uIqbPz2oGHLgcWi4KPVP5uYFRERUfMTscWC26UHFucOLI6IiKgpWLRoEdLS0uBwOJCeno4NGzYYxi9cuBDdu3dHVFQUUlNTcccdd6CqqiqoY0ZssdCqdRRSUmINYzweHQPOTjYpIyIiooZZsWIFpk+fjqysLGzatAn9+vXDyJEjcejQIZ/xr732GmbOnImsrCxs27YNL774IlasWIG77747qONGbLGgKAI3Th0E4ecdKgoQG2fDXyb0MjcxIiKielqwYAGmTJmCyZMno1evXli8eDGio6OxdOlSn/Hr1q3D0KFDceWVVyItLQ0XXnghrrjiijpbI04VscUCANx862BkZnaCEIA4qZ+jahGwWFT8+7U/ISbGFr4EiYiIAJSUlHi9nE5nrRiXy4WNGzciMzOzZpmiKMjMzMT69et97vfcc8/Fxo0ba4qD3bt3Y9WqVRg1alRQ+UX0OAtWq4rlb/0Z/375e/zruY34aedR2O0q/nRpD0y7bQh6ndUm3CkSEVEzpW9vDT2qYZdRvdID4GekpqZ6Lc/KysJ9993ntaywsBCapiEpKclreVJSErZv3+5z/1deeSUKCwsxbNgwSCnh8Xhw4403Bn0bIqKLBaC6YLj2+gG49voB4U6FiIjIp7y8PMTHx9f82263N8p+c3Jy8PDDD+PZZ59Feno6du3ahdtuuw0PPPAAZs+eHfB+Ir5YICIiauri4+O9igVfEhMToaoqCgoKvJYXFBQgOdl3Z/3Zs2fj6quvxvXXXw8A6NOnD8rLy3HDDTfgnnvugaIE1hshovssEBERRQqbzYaBAwciOzu7Zpmu68jOzkZGRobPbSoqKmoVBKqqAgCkDHwEY7YsEBERNRPTp0/HpEmTMGjQIAwZMgQLFy5EeXk5Jk+eDACYOHEi2rdvj7lz5wIAxowZgwULFmDAgAE1tyFmz56NMWPG1BQNgWCxQERE1ExMmDABhw8fxpw5c5Cfn4/+/ftj9erVNZ0e9+/f79WScO+990IIgXvvvRcHDhxAmzZtMGbMGDz00ENBHVfIYNohfrNo0SI8+uijyM/PR79+/fD0009jyJAhfuMXLlyI5557Dvv370diYiLGjx+PuXPnwuFwBHS8kpISJCQkoLi4uM57Or44nR588N5P2LbtMGKibRg9piu6dW8d9H6IiKjpa+g1I9D9H3l2COIb+DRESaUHraduCFmujSXod3l89KjFixcjPT0dCxcuxMiRI7Fjxw60bdu2Vvzx0aOWLl2Kc889Fzt37sQ111wDIQQWLFjQKG/CyMdrduO6a97DsaNVsFoV6LpE1uwcjLmkG55/8Y8cZ4GIKIykrIJbfxdO7XXoyIeCFNjVK2BVLoEQjfNEADVc0B0cwzV6VH1s/PYgLrv0LRQXVY+B7XbrNVNVr/rgJ1zz1/+GPAciIvJNl0UodY9GpXY3dPwA4DB0fIdKbSZK3WMhZUm4U6TfBFUsmDV6lNPprDWaVX3Mn7cWUkroPuaK0jSJD1f/jE0bD9Zr30RE1DAV7pshscfnOomfUOG+3dyEyK+gigWj0aPy8/N9bnPllVfi/vvvx7Bhw2C1WtG5c2dccMEFhqNHzZ07FwkJCTWvU0e2CkR5uQurV+2qaUnwxWJR8PZb24LeNxERNYym/wINvr9kHudBDnR52KSMyEjIx1k4efSoTZs24e2338bKlSvxwAMP+N1m1qxZKC4urnnl5eUFfdzyMjcC6bpZUlJ7/G0iIgottx7YbWC3/n6IM6FABNXB0azRo+x2e4OHumzZyoG4OBtKS11+Y3RdolOnlg06DhERBU/TA7sFrOn5QODDAVCIBNWyEM7Ro4JltaqYNLkfVFX4jREKcOVf+4QsByIi8k0oUYHFiegQZ0KBCPo2xPTp07FkyRK8/PLL2LZtG2666aZao0fNmjWrJn7MmDF47rnnsHz5cuzZswdr1qyp1+hR9fH3u87FmWktahUMx6erfnje79E2KSakORARUW2q6BxgXMcQZ0KBCHqchXCNHlUfrVtHITvnatw35zMsf20LnE4NANC9R2vMvHsYLh3fM+Q5EBFRbQraBxQnkBLiTCgQ9RrB0WyNMRpXaakT+/cVIyraio4dW0AI/7cniIgotNzaOlRof60zLlp9E1Z1YFD75giOje+0mXWyuMiJgoJyHC4oh8fjY+AFIiIyjURB3UEAIAKMo5CK+Imk9u8rxt9v/wgfffhzzaOUiYnRuHPmubhx6kC2MBARhYEQgc3PI8B5fJqCiC4Wfj1Qit+d/wqOHKnwGnOhsLACM/7xMY4cqcC9c84PX4JERKcpi8iAQCtIHPUbI5AEVQwyMSvyJ6JvQzz6yDocOVrhdxTHR+etQ97+YpOzIiIiIaxwqLMMYxzq3RCCgyw0BRFbLLhcGl799w/QPP77byqKwGuvbjExKyIiOs6m/hl29e8ArKeugV2dCZs6JhxpkQ8RWywUHatCVZXHMEYIgV/yOKsZEVE4aPpWOLXnAGinrPHAqS2Cpu8MR1rkQ8QWC3HxNsPRG4Hq4Z4TEzk6GBFROFRodwFwAjj1CTUdQAUqNePbFGSeiC0WoqKs6NqtlWGMrktcPDqwUcSIiKjxaPoW6HIrarcq1ERAk5vZutBERGyxoGk68g+W1xm3aaPvqbWJiCh0NLkroDgdgcVRaEVssXD0SCWKiqoMYywWBdu2FpqUERERHRf4BFGcv6cpiNhiwRHgEJxRDRyqk4iIgmcRQwHUNfNkLCwi3Yx0qA4RWyzExdlx3vlnGHZy9Hh0/HFsNxOzIiIiABAiBnZlimGMXb0JQjhMyoiMRGyxAAB3zjwXuu57nAVVFRg0OAVDh6WanBUREQGAXb0VNmUyAAFARfWgwgoAAZtyA+zKjWHNj06I6GLhghFpeG7JaNhsKhRFwGIRsFiq33L/s5Pxxn/Gc24IIqIwEUKBQ70bDvUBCKRBIB4CnRClzoVDvZOfz01IxN+wv/KqPhg5sjNe+78fsH37EURFWTB2XHecd/4Z/EUkIgojKStQ7rkOmvwa1d9ddQDFqNRmwqV/gBjL87wN0UREfLEAAK0To3HL7ewkQ0TUlFR6sqDJb3771/GBmarHXdDkOlRqDyLa8mBYciNvEX0bgoiImiZdHoZbvovaozfWRMCtvwldHjMxK/KHxQIREZnOo38N/6M3HueGJjeakQ7VgcUCERGFQUVAUVJWhjgPCgSLBSIiMp2Eu1HjKLROiw6ORETUtIgAh3FWmvDTECW7kgG7tWH7cDaPYogtC0REZDpVBDbjr4IuIc6EAsFigYiITKeI3gBi64hqAVXhkPxNAYsFIiIyncQBAGV1RBVDlwVmpEN1YLFARESm8+ibAoiS0GRuqFOhALBYICKiMAh0uH0Oy98UsFggIiLTWZQhqPsSZIEqBpqRDtWBxQIREZlOEUmwij/Cf8uBgFWMgyJam5kW+cFigYiIwkJBBgDpZ62EKoaamQ4ZYLFARESmk9IDp3zAMKZKnwMp/U00RWZisUBERKbz6J+g7vkhSuHR15qRDtWBxQIREZnOI9cHFKfJr0KcCQWCxQIREZlOICrAyEDjKJRYLBARkeksyugA4y4KcSYUCBYLRERkOotyFhScaRijoCssCieSagpYLBARUVhEW5cAiPazNhbR1n+ZmQ4ZYLFARERhoaAzbGK8jzUCNmVCnS0PZB4WC0REFBZOfTFc8hUfayRc+otw6S+ZnhP5xmKBiIhMJ2UlnNqzhjFO7WlI6TQpIzLCYoGIiEznkWsBlBvGSBTDIzeYkxAZYrFARESmk7I0wMhA4yiUWCwQEZHpFNEpsDh0DHEmFAgWC0REZDpV9IWCrvB/GVKgiN5QlZ5mpkV+sFggIiLTCSEQZZkPwIralyIFgB3R6lzzEyOfWCwQEVFYqKIPLOIiAKdOQ63DKkZDEb3CkRb5wGKBiIjCwqk9BY/8r891bvkWnPpikzMif1gsEBGR6aQsh1NfYhjj1J6DlFUmZURGWCwQEZHpqsdZqKwjqgwe+bUZ6VAdWCwQEZHppKwIMNJ44CYyB4sFIiIynSoCm3paAaeobgpYLBARkelUpTeAqDqiYqEq3cxIh+rAYoGIiEyn6TsQSJ8FTe4xIx2qA4sFIiIynSa3BRSny+0hzoQCwWKBiIhMJ4Q9wMhA404fixYtQlpaGhwOB9LT07Fhg/HMnEVFRbj55pvRrl072O12dOvWDatWrQrqmJaGJExERFQfFjEUgApAM4qCRaSblFHzsGLFCkyfPh2LFy9Geno6Fi5ciJEjR2LHjh1o27ZtrXiXy4U//OEPaNu2Ld566y20b98e+/btQ4sWLYI67mlRLOQfLMO/X/ke27YWIibGitFjuuIPF3aCqrJhhYgoPAK5/CgBxp0+FixYgClTpmDy5MkAgMWLF2PlypVYunQpZs6cWSt+6dKlOHr0KNatWwer1QoASEtLC/q49bpahqMJpL6WLc1Fr26L8ND9X+Dtt7bh1X//gMsufQvnn7sMBfllpuRARETeqgdlMmpVAADXaTMoU0lJidfL6XTWinG5XNi4cSMyMzNrlimKgszMTKxfv97nft977z1kZGTg5ptvRlJSEnr37o2HH34YmlbXufcWdMkWriaQ+ljz0W7cevNqr2W6LgEAW388jPGXvonP114DIUTIcyEiohOkDHSwpab7pe7I3iQ4rbYG7aPM7QIApKamei3PysrCfffd57WssLAQmqYhKSnJa3lSUhK2b/fdEXT37t345JNPcNVVV2HVqlXYtWsXpk6dCrfbjaysrIDzDLpYCFcTSH08Pn8dFEXUFAgn0zSJ7zYX4LOcfbhghDn5EBFRNUV0CiwOnUOcSdOQl5eH+Pj4mn/b7Y3TsVPXdbRt2xbPP/88VFXFwIEDceDAATz66KNBFQtB3YYwqwnE6XTWapIJVkmJE+vW/uKzUDjOYlGw6oOfgt43ERE1jCr6QEEP+L8MqVBFP6hKdzPTCpv4+Hivl69iITExEaqqoqCgwGt5QUEBkpOTfe63Xbt26NatG1RVrVnWs2dP5Ofnw+VyBZxfUMWCURNIfn6+z212796Nt956C5qmYdWqVZg9ezYef/xxPPjgg36PM3fuXCQkJNS8Tm2eCYSzyhNYnDO4+zZERNRwQghEW+YDcKD6qYiTqQAciFLnmp9YE2az2TBw4EBkZ2fXLNN1HdnZ2cjIyPC5zdChQ7Fr1y7oul6zbOfOnWjXrh1stsBvoYT8cYCTm0AGDhyICRMm4J577sHixf7nKZ81axaKi4trXnl5eUEft1XrKLRtG2MYo2k6evep3c+CiIhCT1V6I9b6DiziQpy4HKmwiIsQa/0vVKVHONNrkqZPn44lS5bg5ZdfxrZt23DTTTehvLy8pmvAxIkTMWvWrJr4m266CUePHsVtt92GnTt3YuXKlXj44Ydx8803B3XcoPos1LcJxGq1+m0C8VXZ2O32Bt+vUVUFU248G3Mf/NLnrQghAIfDgssu79Wg4xARUf2poitirIsgZSkkiiDQEkLEhjutJmvChAk4fPgw5syZg/z8fPTv3x+rV6+uafHfv38/FOVEO0Bqaio+/PBD3HHHHejbty/at2+P2267DTNmzAjquEEVCyc3gYwbNw7AiSaQadOm+dxm6NCheO2116Dres0bqE8TSH3cdkc6Pvl4D77+6oBXwaBaBCCBF14ag4QER0hzICKiugkRB4G4cKfRLEybNs3vNTcnJ6fWsoyMDHz11VcNOmbQtyHC1QRSHw6HBf9deTnuu3842neo/iVUFIGLR3XBR59cjTGXnB4dZ4iImjJdHkCVtgiVnn+iSnsOujwY7pToFEE/OhmuJpD6cjgsuP3v5+C26emoqvLAalVhsXDkRiKicJNSR5U2Dy79RQAC1d9fdTi1x2BXboRd/QfHwWkihJTS/7OFTURJSQkSEhJQXFzs9RwqERE1X1XaU3BqC/2ud6gzYFf/FvR+Q33NOL7/by+dgthGGJRp0NtLmvz1jV+xiYjIdFKWw6n9yzCmSnsWUlaZlBEZYbFARESmq54borKOqNLTZm6Ipo7FAhERmU7KigAjA51DgkKJxQIREZlOFYHN+XC6zA3R1LFYICIi0ymiNxTRE8ZzQ/Q/beaGaOpOm2Ih/2AZvvh8HzZ+exCapte9ARERhYwQAtGq0dwQUZwbogkJepyF5uaXvBLc9Y81WPXBrppRHJOTY3DXrKG4bsoAPsNLRBQmqnIWYq3vosrzJDxyNQAN1XNDjILDchvUAKexptCL6GIh/2AZfnf+Kzh8uNxruOf8/HJMv+0jFBZWYObdw8KYIRHR6U0VXRBjfRpSlp00N4TxJIBkvoi+DTH/kXU4XFgOTfM97tTcB7/EL3klJmdFRESnEiIWiujAQqGJithiweXS8Oor30Pz+B+gUlEEXn9ti4lZERERNT8RWywUHatCZaXHMEYIgbz9xSZlRERE1DxFbLEQF2+DqtbVeVGiVasoU/IhIiJqriK2WIiKsmLsuO6GBYPHI/GXCb1MzIqIiKj5idhiAQBmzBoKq1WFotQuGBRF4C8TeuGs3m3DkBkREVHzEdHFQq+z2uD9VZejQ2r1tJ/HiwZVFZh4TV88+69R4UyPiIioWYjocRYAID2jA77feiM+y9mHbVsPIzraiosu7oLkdrHhTo2IiKhZiPhiAahuURjxuzSM+F1auFMhIqJTSCmhyVxIHIZAElTRl6PrNjGnRbFARERNk1vPRqXnfkjk1SxTkAaHJQtWZXgYM6OTRXSfBSIiarrc+keo8NwAiV+8luvYhwrPdXDrOeFJjGphsUBERKaTUkOl577j/zp1LQCJKs99kNL/KLxkHhYLRERkOk1ugEQ+ahcKx0no2A9NbjYzLfKDxQIREZlOl/kBxVUXFBRuLBaIiMh0QiQGFofA4ii0WCwQEZHpLCKjzkJAoB1UMcikjMgIiwUiIjKdEBY41LsNY6Is90AIXqaaAv4UiIgoLGzqOESpCyDQymu5QCKi1CdhVTgkf1PBQZmIiChsbOo4WJXR8Mi1kPIQhEiCRQyFEE3/8vTrvnaIsTgatI9yT1UjZRNaTf+nQUREEU0IK6zignCnQQZYLBARUdjo8ghc2stw6SsgcRQCibApE2BTJ0ERLcOdHv2GxQIREYWFLg+gzP0XSBwCoAMAJArg1J+BS/8PYq1vQRFJ4U2SALCDIxERhUmF5y5IHMbxQuEEHRL5qPTMCkda5AOLBSIiMp0md0OT6wFo/iLgkZ9Bl7/4WU9mYrFARESm0/TvA4iS0OQPIc+F6sZigYiITCeELcDIQOMolFgsEBGR6VRxDuruY2+DRQw2Ix2qA4sFIiIynSJawapcBv+XIQGbchWEiDczLfKDxQIREYVFlDobFnHBb/9Svf5rERfCoc4IQ1bkC8dZICKisBDCjmjLEmjyK7j0t6HLAigiGTZlPFQxGEKIcKdIv2GxQEREYSOEgEVkwKJkhDsVMsDbEERERGSIxQIREREZYrFAREREhthngYiIwkqXB+HW34MuD0ERSbAql3ACqSaGxQIREYWFlDqqtPlw6S/8tkQFoKFKmw+7MhV29Q4+EdFE8DYEERGFhVN/Fi79eVTPOqkDcNf8f/U01S8Ybk/mYbFARESmk7ICTm2xYUyVtghSOk3KiIywWCAiItN55FoAFXVElcAjvzYjHaoDiwUiIjKdlOUBRpaFNA8KDIsFIiIynSI6BRaHwOIotFgsEBGR6QSSA4sTgcVRaLFYICIi02lyQ4Bx34Y4EwoEiwUiIgoDLcA4T0izoMCwWCAiItOpSv8AogRU0TfUqVAAWCwQEZHpVHEmLOJ8VI/a6DMCFpEJRaSYmRb5wWKBiIjCIsoyHwLtAZw6pLOAgjMQZXkoHGmRD5wbgoiIwkIRbRFnfQ8u/TW4tDeg4zAUtIVNvRw25XIIERfuFOk39WpZWLRoEdLS0uBwOJCeno4NGwLr1bp8+XIIITBu3Lj6HJaIiCKMEPGwqzcizvYJEmw/IM6WDbs6hYVCExN0sbBixQpMnz4dWVlZ2LRpE/r164eRI0fi0KFDhtvt3bsX//jHP3DeeefVO1kiIiIyX9DFwoIFCzBlyhRMnjwZvXr1wuLFixEdHY2lS5f63UbTNFx11VX45z//iU6dzB+N66efjuKemZ/gT2NX4K9XvI3lr29BVRUfxyEiIgpEUMWCy+XCxo0bkZmZeWIHioLMzEysX7/e73b3338/2rZti+uuuy6g4zidTpSUlHi96uvJBV9jUL/n8ewz3yB7zR588N5PuOHaDzDk7Bewf19xvfdLRER0ugiqWCgsLISmaUhKSvJanpSUhPz8fJ/bfPnll3jxxRexZMmSgI8zd+5cJCQk1LxSU1ODSbPG+//dgdn3fAopAU2TAABdr/5v3v5iXHrJG9A0vV77JiIiCodw9BsM6aOTpaWluPrqq7FkyRIkJiYGvN2sWbNQXFxc88rLy6vX8Rc89hUU5dRHcqppmsTOHUfw8Zo99do3ERE1Dik9cGmrUOV5Dm5tNaQMdHTH00+4+g0G9ehkYmIiVFVFQUGB1/KCggIkJ9ee7OPnn3/G3r17MWbMmJplul79Td5isWDHjh3o3Llzre3sdjvsdnswqdVSXFyFjd8eNIyxWBSs+fBnjLyodg5ERBR6VZ7n4NQXwGv4Z80ChzoDdjWwW9eR4NTb7f6ugyf3GwSAxYsXY+XKlVi6dClmzpzpc98n9xv84osvUFRUFHR+QRULNpsNAwcORHZ2dk0zhq7ryM7OxrRp02rF9+jRAz/88IPXsnvvvRelpaV48skn6317IRBuV2C3F9xu3oYgIgqHSvdCuORTPtZ4UKU9BCk9cFj+Znpegdq3PwlRSlSD9lGpVwJArethVlYW7rvvPq9lx/sNzpo1q2ZZsP0Gv/jii3rlGfSgTNOnT8ekSZMwaNAgDBkyBAsXLkR5eXlNlTNx4kS0b98ec+fOhcPhQO/evb22b9GiBQDUWt7YWrWOQkr7OPx6oNRvjMej4+yB7UKaBxER1abrbj+FwglO/VHY5RQIEfmDDefl5SE+Pr7m375aFYz6DW7fvt3nfo/3G8zNzW1QfkEXCxMmTMDhw4cxZ84c5Ofno3///li9enVN8vv374eihP8HqygCN00dhDn3Vndw9CUu3obxl/U0NzEiIoJTfyGAKB1O7TU4LH8NeT7hFh8f71UsNIb69hv0pV7DPU+bNs3nbQcAyMnJMdx22bJl9TlkvUy9ZRBeWroZu38u8rn+kUczERNjMy0fIiKqpun+m8294uQXACK/WAiEWf0GfQl/E0AI/fedHX4LBUUBHn1kHTwe9lkgIjKbELEBRjbut+3m7OR+g8cd7zeYkZFRK/54v8Hc3Nya19ixYzFixAjk5uYG1W8woieSWrjgKwgBn7chdB3Ys7sIH/5vF0aP6WZ+ckREpzGbcgM82uo64+zK6fNERCDC1W8wYouFY8eq8P13xs+dAkD2x3tYLBARmcyq9ge0VgCO+o0RaAuL2sO0nJqDcPUbjNhiQQ9wZMa8vPoPJU1ERPUXa3kTZZ6LAbh8rLUjxvKW2Sk1C+HoNxixfRYs1sDemsvJkcKIiMJBVToizpoDq5gAwPrbUius4krEWT+HqnQIZ3p0kohtWQh0UKaU9oF2siEiosamiGREW+dCyocBuAFYIYTvYfopfCK2ZaFlKwdUte5fOItFNSEbIiIyIoSAEDYWCk1UxBYLxcXOmpkmjej+RmwiIiIiABFcLARSAyiKgM3KlgUiIiIjEVsstGrlQKfOLQ1jdF3inAx2oCEiIjISscWCEAK33DbE73pVFUhsE41xl3Y3MSsiIqLmJ2KLBQCYfF1//HViHwDw6uyoqgLR0Va8+fZfYLdH7AMhREREjSKir5SKIrBo8SiMGdsNS/61CT/+eBjR0Vb86c89cf2UAUhpHxfuFImIiJq8iC4WgOrbEReP7oqLR3cNdypERETNUkTfhjiZy6Xhl7wSHDlSGe5UiIiImpWIb1koKXHi0Xnr8NKLuSgpcQIA0s9pj7tmDcUfLuwU5uyIiIiavohuWSgpceKizFfxzFMbagoFAPhmw68YP+4N/N8r34cxOyIikrISTu01lLouRolrEEpdo+HSVkBKZ90bk2kiulh44rGvsG3r4VojOeq6hJTA7bd8yNsSRERhostjKHVfhCrtXujYAYmj0LENldoslLkvhpScFbipiNhiwePR8eILmw2HfHZ7NLz+6g8mZkVERMeVu2+ARJ7PdTr2otwz1eSMyJ+ILRaOHa1E0bEqwxhVUbBzxxGTMiIiouM0/Rfo2GgcI9dB0wtMyoiMRGyxEBVtrTsIQEyMLcSZEBHRqdz6mwHGvRvaRCggEVssxMba8LvfpxlOU+3x6Bj3Jw73TERkNl0eCyhO4miIM6FARGyxAAB3zRwKKQFf06OrqsCw81Ix5Jz25idGRHSaU5UBAcVZRGBxFFoRXSycOywVL71yCaKirBACsFoVWCxKzbrX3vgzhK9KgoiIQsqmjAZQ1+1iOyxKphnpUB0iflCmP/25BzIv7Ig3V2zFtq2FiI62Yswl3TBwUDsWCkREYSKEDQ5lBqr0B/3GOJTZECLiL1PNwmnxU4iLs+Pa69mURUTUlNgt10J6AKc+H4Dr5DVwKPfAbrkyXKnRKU6LYoGIiJomh+Va2OXlcOvZkDgEgWRYld9DCEe4U6OTsFggIqKwEiIaNnVMuNMgAywWiIgo7HT5K3RZCEW0gSLahTsdOgWLBSIiChuPnosqbR40uaFmmSoyEKXOhKr0CWNmdLKIfnSSiIiaLo++AeWeCdDkt17LNfk1yjyXwaNvDlNmdCoWC0REZDopJSo9swBoAPRT1uoA3Kj03A0p/U8GSOZhsUBERKbT5Cbo2IPahcJxOnTsgC5/NDMt8oN9FoiIyHS63B9YHPZDRe8QZ1M/2w9HwS6iG7QPZzNpOGHLAhERmU6I+MDiEFgchRaLBSIiMp1FDAMQZxgj0BKqSDcnITLEYoGIiEwnhB0O9TbDGLv6dwhR12RTZAb2WSAiorCwKZMh4YRTexKAG4CK6qcjbHCof4dd5dwQTQWLBSIiCgshBBzqTbArV8Kt/w86DkFBEqzKxQH3aSBzsFggIqKwEiIBNvXycKdBBthngYiIiAyxZYGIiMJKSg2a/Bq6PAxFJEEVgyGEGu606CQsFoiIKGzc+ipUeh6AREHNMoF2iLJkwapcGMbM6GS8DUFERGHh0laiwjPNq1AAAIl8VHhugltfE6bM6FQsFoiIyHRSaqjSHvC3FgCqWxykv7kjyEwsFoiIyHSaXA+JQwYREhK/QJMbTcuJ/GOxQEREptPl4YDiJAKLo9BisUBERKZTRJuA4gQCi6PQYrFARESmU0UGBNoaRAgIdIAqBpqWE/nHYoGIiEwnhIooyxyDCIkoyxwIwctUU8CfAhERhYVAK/i/DKkQaGlmOmSAxQIREZlOSolKz904/pikjwhUeu6BlP7Wk5lYLBARkek0uRE69sJ/saBDx07ocouJWZE/LBaIiMh0uswLLA6BxVFosVggIiLTCZEQWBwCi6PQYrFARESms4ihAOINYwRaQRVDzEmIDLFYICIi0wlhh0O9wzDGof4DQlhNyoiM1KtYWLRoEdLS0uBwOJCeno4NGzb4jV2yZAnOO+88tGzZEi1btkRmZqZhPBERnR5sykQ41FkA7L8tUX/7rwMOdQ5s6uVhyoxOFXSxsGLFCkyfPh1ZWVnYtGkT+vXrh5EjR+LQId8TguTk5OCKK67Ap59+ivXr1yM1NRUXXnghDhw40ODkiYio+RJCwK5OQbz1a0Spj8Cu3o4odT7irRtgV68Jd3p0EiGDfIg1PT0dgwcPxjPPPAMA0HUdqampuOWWWzBz5sw6t9c0DS1btsQzzzyDiRMn+oxxOp1wOp01/y4pKUFqaiqKi4sRH298j4uIiE5vJSUlSEhICNk14/j+b8ZS2EV0g/bllBVYhGub/PUtqJYFl8uFjRs3IjMz88QOFAWZmZlYv359QPuoqKiA2+1Gq1at/MbMnTsXCQkJNa/U1NRg0iQiIqJGFFSxUFhYCE3TkJSU5LU8KSkJ+fn5Ae1jxowZSElJ8So4TjVr1iwUFxfXvPLy6v+crZQSn+XsxV+veAf9z/oXhqYvxWPz16HwcEW990lERHQ6sZh5sHnz5mH58uXIycmBw+HwG2e322G32/2uD5SUEv+4Yw2W/GsTVIuA5qm+4/LjlsN4euEGfLD6CvTpm1THXoiIiE5vQbUsJCYmQlVVFBQUeC0vKChAcnKy4baPPfYY5s2bh48++gh9+/YNPtN6+L9XvseSf20CgJpCAQB0XaKkxInx496Ey6WZkgsREVFzFVSxYLPZMHDgQGRnZ9cs03Ud2dnZyMjI8Lvd/Pnz8cADD2D16tUYNGhQ/bMNgpQSTy3cACF8r9c0iYMHy/DBeztNyYeIiKi5CvrRyenTp2PJkiV4+eWXsW3bNtx0000oLy/H5MmTAQATJ07ErFmzauIfeeQRzJ49G0uXLkVaWhry8/ORn5+PsrKyxnsXPhw7VoUd24/A6FkPRRH44ov9Ic2DiIiouQu6z8KECRNw+PBhzJkzB/n5+ejfvz9Wr15d0+lx//79UJQTNchzzz0Hl8uF8ePHe+0nKysL9913X8OyNxDIA6G6LlFR5g5ZDkRERJGgXiM4Tps2Dfv27YPT6cTXX3+N9PT0mnU5OTlYtmxZzb/37t0LKWWtVygLBQCIi7P6vQVxMpebfRaIiKj5CMcoyhE7N0TRMWdArQvR0aY+EEJERFRv4RpFOWKLhdg4G1BHy4KqCrRq1bDRt4iIiBqqpKTE63XyKMYnW7BgAaZMmYLJkyejV69eWLx4MaKjo7F06VKf8a+++iqmTp2K/v37o0ePHnjhhRdqHkwIRsR+rY6OtmL0H7vifyt/gq77jtE0iT//pae5iRERUUTYplTBEsj9bgMeWQXoqDVSsa9+fcdHUT75IYJQjKLsS8QWCwBw18yh+Gj1zwAkdN37noSiCFw8qgv6DzAeH4KIiCjU8vLyvOaG8DUwodEoytu3bw/oOIGMouxLxN6GAIABZyfjP/+9DK0TowAAFosCRREQArj0zz3w4stjw5whEREREB8f7/VqjFGMT3V8FOV33nnHcBRlXyK6ZQEALhiRhu27bsb/Vu7C9u2FiI6yYtSYrujUqWW4UyMiIgpYY4yi/PHHH9drFOWILxYAwGpVMXZcd4xF93CnQkREVC8nj6I8btw4ACdGUZ42bZrf7ebPn4+HHnoIH374Yb1HUT4tigUiIqJIMH36dEyaNAmDBg3CkCFDsHDhwlqjKLdv3x5z584FUD2K8pw5c/Daa6/VjKIMALGxsYiNjQ34uCwWiIiImolwjaIspAxk6KLwKikpQUJCAoqLi716ixIREZ0q1NeM4/v/nfIsLCKqQfvyyEp8ok9t8te3iH4agoiIiBqOxQIREREZYrFAREREhlgsEBERkSEWC0RERGSIxQIREREZYrFAREREhiK+WPB4dCxbmouMwS+iVdx8tG+7AFP/thLbth4Od2pERETNQkQXC263hsvHv4Xbpq3G1h8Pw+PRUVrqwvLXtuC8jGX4JHtPuFMkIiJq8iK6WHj26W/x0Ye7ISVw8jiVHo+Ey6Xh6iveQXm5K3wJEhERNQMRWyzousSzi74xjCktdeGtN7aZlBEREVHzFLHFwtEjlTj4a1mdcd9sOGBCNkRERM1XxBYLFqsIKC5vf0mIMyEiImreIrZY0LTA4izWiD0FREREjSJir5QisIYFtGzpCG0iREREzVzEFgsxMdaACgbNI+sOIiIiOo1FbLFQXOT0elzSn+gYa+iTISIiasYs4U4gVOLibbBYBDwGLQeqKtC2bYyJWRER0cl0WQiXtgwu/U1IHIVAa9iUCbCp10ARLcOdHv0mYlsWoqKsGDuuO1TV/70ITZO47PJeJmZFRETH6fIAytxj4NT/BYnDADRIHIJTX4Qy9xjoMj/cKdJvIrZYAIAZs4bCZlOhKLULBiGACVechZ692oQhMyIiqvDcCYlCAKc+vqZDogCVnlnhSIt8iOhioWevNvhg9ZU4My0BwIknJFRV4PobzsaixaPCmB0R0elLk7uhya9Qu1CoiYBHfg5d5pmZFvkRsX0Wjhs8JAW5W/6GLz7fj+3bChEdbcWFIzujbRL7KhARhYumfx9AlIQmt0ARqSHPh4xFfLEAAEIInD/8TJw//Mxwp0JERACEsAUYGWgchVJE34YgIqKmSRXnoO5LkAUWMdiMdKgOp0XLgq5LfP7ZPmzbWoiYGCtGXtQZScmx4U6LiOi0JRCL6kuQyyDKCiDanITIUMQXCxu+PoDrrnkP+/YWQ1EEdF1CVQUmXtMPjy74A2w2NdwpEhGddjxyHYwLBQCohCa/gUVkmJESGYjoYmHrj4fxx4teh8tV3dtW16sHaNI0iZdf+g7l5S688NLYcKZIRHRakvJYYHEILI5CK6L7LDwydy3cbq2mSDiZrku8sXwrtv54OAyZERGd3hTRPqA4gcDiKLQitliorHTjvXd3QNP8D/dssQi8sfxHE7MiIiIAUMUgCHQA4G+UXQEFnaGKvmamRX5E7G2I0hKXYaFQTeDo0UpT8iEiohOEUBBleRAVnmt/W3Ly57UCQCDKcj9EINMHh8kGawGEcDRoH1JWAc5GSiiEIrZloUVLB6KijGshKSU6pMablBEREZ3MqpyPGMvLUNDda7kieiHG8n+wKOzY2FREbMuCzabiqol98dKLm6H5mXlS1yWuvKqPyZkREdFxFmUoYiz/gVu+Bk3uhyrSYFOuhBD2cKdGJ4nYlgUAuPOuDLRJjPE78+TMe4axZYGIKIycntdQ6hmEKu0huPV/o0p7ACXuQXBpb4Y7NTpJRBcL7VLikP3Z1bhoVBecfNsrOTkGjy+8EDPvHhq+5IiITnNOz6uo0u8FcGrfsXJUajPg9PwnHGmRDxF7G+K41DMS8Pobf8bBX0vx009HERVlxYCzk2GxRHSdRETUpEnpQpX+oGFMlZ4FmxwHITh4XrhFfLFwXLuUOLRLiQt3GkREBMCtf4y6HwOogEf/HFZ1hBkpkQF+vSYiItNpckOAcd+EOBMKBIsFIiIynUCgLb1sEW4KWCwQEZHpLMofA4qzKheFOBMKBIsFIiIynUXpDgVdDWMUnAVV6WhSRmSExQIREYVFlGUu/M8NoSDKMs/MdMgAiwUiIgoLp7YI/osFwKk9Y14yZIjFAhERmU6X++GROQB0fxHwyI+gy4MmZkX+sFggIiLTefTN8J5p0hcJTX5nRjpUh9NmUKaG0HWJtV/ux/79JWjVKgq/+30a7Pa6T92e3cfw4pLNKC11Ydj5Z+DP43tCUUI73aqUEps25mPHjkLExtgw4vdpiItrvAlZPB4dOZ/uRUFBOdq1i8X5w8+s92iYb6z4EV9+vh+xsTbcNG0QHHYLVn2wC9//UIAOHeIx8qLO6HVWG69tqsrd2PTxrygvdqN913j0PKdNo09h63Jq+GDxduzfWoTE9jG45JaeiEmw4fvP8nE4rxzxre0YkJkCm52jyh3nKnPj188OwF3uQYsuCYjrFIeDX+TDU+lBy54tkdindbhTrJPucqHi++3QyitgTW6DqG6dfP5u6S43Kn7YDq2sHNY2rRHVozP04kJ49m0HIGBJ6wG1RZvaB6iDrKqAe9f3kK4qKG3aA0JAP/QLhM0Ba5e+EI5o4/wLt0PuywHc5RBt+0KccT6EJfC/fSl1yGNrgJL1gOIAEi+FEt0NUisDitcBegXg6ATE9Gmkv7lA/374d9YUCCllXaVd2JWUlCAhIQHFxcWIjzd34qfsj/fgtmmrsX9fcc2yFi0dmHPf+bj+hrN9blNcXIUxF7+O3M0FXsujoixYvOSP+NOfe4Qk19zN+Zj6t5XY8sNhr2Peekc6Zt0zrMGFyhvLf8TdMz7BoUPlNcuSk2PwyGN/COo9vfffHZgy+X1UVnrqjO0/IAkv/XscOnVqgTfm/4DX5n6PqrIT26V2T8AdS4birHPbBvdm/Fg2exNWPPIDdN37z8IepcJZqdX8O66VDdc+NBCjpnQ/dRenFalLbH48Fz88+wM8J50fCHh9aUzs1xrnP3keWvZoaXqOdZFS4tjKT3DkP/+DXllVs9ya3AbJf7sK0T271MQVffQ5Ct/4AHp59VwGQtER374SNmvpiR0KAWuvIYi59CYoUbF1H1/XUPnxG6j68j3A4/YdZLHCMWwMojInQCjeF095bDe0T2cBJb94b6NYIQbeBKXXZXVe3PWjHwJ7ZgD6KXM0qC2riwR50kiLUd0gOs6DiDmrzvfmj5QSTu0pOPUn64i0IM76NRQR3O9NqK8Zx/cfa8+CEI4G7UvKKpQ5/xmW61sw6vWVcNGiRUhLS4PD4UB6ejo2bDAeievNN99Ejx494HA40KdPH6xatapeyZrt88/2Yfy4N5C3v9hredGxKky/7SMsfvbbWtu43RrOHbK0VqEAAJWVHkz667v46MOfGz3XHdsLcfEfXsW2rYW1jvnIw2tx94zsBu3/zRVbcf3k970KBQDIzy/HpL++i/++sz2g/eR8uhd/vfydgAoFAMjdXIDM4a/g6b9/haX3bPIqFADgwE/FmHHhh/hp05HA3oiBl7M24fW539cqFAB4FQoAUHrUhSdvWo/3Fwf2viPVhn9+g82P53oXCkCt1uUjW47ig7GrULKvFE3N0Xc/xOH/e8erUAAAd0Eh8h58GpU/7QUAHPtfDg699GZNoQAh0aLdUVgtp7wnKeHe+g1KX/wnpL+L/0kq3l+Kqpz/+C8UAMDjRlXO26h4f6n3oUp/hbbyhtqFAgDobshvnoLcusLw+HrRF8DPt9YuFABAO+ZdKABA5S7I7VdBVtb/c8ypPxdAoaDAqvwl6EKBQiPoYmHFihWYPn06srKysGnTJvTr1w8jR47EoUOHfMavW7cOV1xxBa677jps3rwZ48aNw7hx47Bly5YGJx9q98z8BFIC/tpe7pvzGcrLXV7L3ljxI/L2lxju945bP2ysFGs8/OCXqKryQNN8J/vcom+xb19Rvfbt8eh1FhuzZnzi8yJ7qtunrQ76+EePVuJZH4UZAOg6oLl1LJuzKej9nqyyzI3l834IerulszaiqiKwwifSlOaVYcvzPwYUKzUJd7kb3z3ZtO4/a6VlKPzP/3yvlBKQOg4v/y/0yioULn/fa7UjthKqzQOfX9qlDu3XPXB9v9b4+IUH4fw68M8D59cfQis80eFP//4VwOPjIn8SfeO/IF3lPtdJKYF9cwI+/m97BHQX5K/1e1JBymI4tboKBUAV5yBKnV2vY1DjC7pYWLBgAaZMmYLJkyejV69eWLx4MaKjo7F06VKf8U8++SQuuugi3HnnnejZsyceeOABnH322XjmGf+/aE6nEyUlJV4vs+3ccQTf5RYYXgAryt1Y+f5PXsueebLucczz9pdg166jDc7xuLIyF957d4ffQgEAFEVgxeuBfbCf6vPP9qGgwPeHzXG/5JXgq3U+vt2cpLTUid27i4I+vpRAASr8rtc1iW8/PICiw1V+Y+ry5Tv7oBucP38qSt34emVevY/bnP389s8QQdzakprErrd+hu721/vdfKVf5wKa5j9Al6j88ScU5ayHdHl/MXDEGV+kIQScGz8xDHHmfg4oQXwMKwqcmz8DAEjdA/lzAMW37oLc/5nvdZU7AdevgR+/hgYcXQ2pGX8u+OLWVwGou8COUuc1uImfGk9QxYLL5cLGjRuRmZl5YgeKgszMTKxfv97nNuvXr/eKB4CRI0f6jQeAuXPnIiEhoeaVmpoaTJqNoqCgrM4YRRE4dMpFtPCw/4vayQ7lB/9H5s+xo5WGhQJQnWtBPY9ZV6EQaNzBX+vfBK0JCWnUc1oCRYfq+PA2cGhf3T9vX4QCHMuv/3Gbs8pDlUEVCwCgu3S4y+pumjeLp6gEUOruQOcuOFLroq5YNN+tCsdJCb3E+EuBLC2C0TgDtQnIsqLfkqoA9EDOpQAq/eThLvS9PCA64CmuO6zWVocRSKdFiYbfWqTGE1SxUFhYCE3TkJSU5LU8KSkJ+fn5PrfJz88PKh4AZs2aheLi4ppXXp7539yS29U9eYmuy1rTXrdNiglo/+3aN97kKK1aR9X5RIKuS6TU85gpKXV30gokrn2H+nfesUgBYfChKgTQMimq3vtP7hjYezyV1IHW7Y17qUeq6ORoyCBbY1SHCmucNUQZBc/SMsG4ZeE3tuQ21fe8TqJ7VL+3KAEAQoGSkGi4XyW+pf/7nL5ICSW+VfX/W6MBxRbIRkC0n6czbEm+lwdCWABLi6A3U5AEoO5zrogG5EaNrkmOs2C32xEfH+/1MlvXrq0wcFA7wycI4uJsuHh0F69lt01Pr3PfaR0T0LFji4amWCMmxoZL/9wDquo/VymBy6+oX+/lYeedgXYpsX6/RQkBpHVsgcHp7evMs2u3VkEfXwggWfgvwhRVIH10ByQk1r/Jcuif0qBag39aJLaFDemjOtT7uM1Zlz93DipeqAJdL+sCpZ6P2oZC3DkDICwGj0ErCqL79kDCBedAOLwfQ6wqraM4lTrsg35vGGIbMLy64gyU1Ku3ASAUC0TXUXVvo9ohzjjP5yoR1QWwnxH48U/sFGh5MYQafKFsVS4GYFTkqFDFUCgiuR55UagE9VebmJgIVVVRUODd07+goADJyb5/sMnJyUHFNyVzH/k9VFX4LRgemvc7REd7f0u69M890aWr8QXxmecC+AMP0qzZ5yEmxua3YLjj7+fU+5u9qip49PE/AECtguH4v+c/nhnQo5nPLh5l3HTrQ1JSLG7/u+8iTFEFrHYV1zwwMLidnsIRbcHE+wYEvd0Njw2GzXF6DlcSkxKDvrf2CShWqAK2BBv63do3xFkFR42JRuIVY3yvFAJCVdHmikugOOxo+9c/ea2uKouCx2Xx3TAgFFjO6A5b73OMj98qCY7zxgacr2PYGKitTnzjVvpOBKzGrWLK4GkQVoOLetqDCO5WiAqoURDtpwWxzQlCxMOh3ulnrQLAgij1rnrtm0InqGLBZrNh4MCByM4+0TNe13VkZ2cjIyPD5zYZGRle8QCwZs0av/FNyTnndsD7q65At+7eF//k5Bj868U/4ppr+9faxmJR8OVXkzH0vNr9LOLjbfjPu3/B+cPPbPRcO3duiY9zrsagwSleyxMS7HjgoRGY88/zG7T/seO647UVlyL1jASv5WkdW2DFf8bjoou7+NnSW3pGB7z93mWIjw+k+RQ47/xUfPL5REx5YBCmPpmO+Nbe3+4692+FBZ9djI59Gv541eUz+uK6uQNhsXn/WQgBxCR4F4WtU6Iw49/nY+Q1xrPmRbqBM87GkDmDYEvw/nme2pchaUgSxq78I2I71O92Tyi1Gv17JF1/OdR479zsZ7ZH6n23w9Gx+m+5ReYwJN/0V6gtfiu6pUDxr63gli2rO68cp6iwDTgfcZPvhbDUfcsl6qKrETXyKgi7/wu6sEcj6sIrEXXxRO/lMUlQx7wItPLxe2iJgjh3JpQelxoeX4lPB7q9CKg+vkxYkwDllJ9ZbF+InisgHGmG+zViV69FlPoQBLwH61JEd8RYlkNVAitCyTxBD8q0YsUKTJo0Cf/6178wZMgQLFy4EG+88Qa2b9+OpKQkTJw4Ee3bt8fcuXMBVD86OXz4cMybNw+jR4/G8uXL8fDDD2PTpk3o3bt3QMcM56BMQPXjRbmbC7B/XxFaJ0bjnIwOAY1aeKigHK+8/B1Kip04/4Iz8fvMjo0+2qAv27cVYueOI4iJtWHosFQ4GvGbr65LfPP1AeTnlyG5XRyGpKfU+z2t+Wg3vvhsH+Li7bj2+v6wWBR8kr0HW74/hPYd4jHi9x1r3a5xuzT88HkBKkrdaN8lvlGKhFNpHh2fLt+NPVuOoW1qDC68pisc0Rb8tPEICvaXIaG1A2cNawtVbTrN6eGmOTUcXJ8PT7kbCV1aIC41FvlfF1SP4Ni9BRI6J9S9kzCTHg0V23dBr6iENSkRjjN9316SmobK7T9Xj+DYNhH2tA6QZcXw5O0EhIAltRuU2ODfr3Q74d6zDXBVQW1bXaBoh/IAmwPWjj0hrMajMepF+yB/WQs4yyCS+kCkDIZQAv/bl1JClnwFlKwD1Gig1Rgojg6QuhMo/QbQKoCozhBRwd1+Mj6mG5r8BhIlUHAGVKVXo+yXgzI1vnqN4PjMM8/g0UcfRX5+Pvr374+nnnoK6enVzcQXXHAB0tLSsGzZspr4N998E/feey/27t2Lrl27Yv78+Rg1KvCm+HAXC0RE1HywWGh8HO6ZiIgiCouFxsd2VCIiIjLEYoGIiIgMsVggIiIiQywWiIiIyBCLBSIiIjLEYoGIiIgMsVggIiJqRhYtWoS0tDQ4HA6kp6djw4YNhvFvvvkmevToAYfDgT59+mDVqlVBH5PFAhERUTOxYsUKTJ8+HVlZWdi0aRP69euHkSNH4tChQz7j161bhyuuuALXXXcdNm/ejHHjxmHcuHHYsmVLUMdtFoMyFRcXo0WLFsjLy2vSg1YQEVH4lZSUIDU1FUVFRUhIaPyhxo8PyhRjnwkB42G46yLhRLlzXq3rm91uh91ee9/p6ekYPHgwnnnmGQDV8zOlpqbilltuwcyZM2vFT5gwAeXl5fjggw9qlp1zzjno378/Fi9eHESizUBeXp4EwBdffPHFF18Bv/Ly8kJyTaqsrJTJycmNlmdsbGytZVlZWbWO63Q6paqq8p133vFaPnHiRDl27FifuaampsonnnjCa9mcOXNk3759g3rPzWJu3ZSUFOTl5SEuLq5BEzEdrzbZQuEbz48xnh9jPD/GeH6MNeb5kVKitLQUKSkpdQfXg8PhwJ49e+ByuRplf1LKWtc2X60KhYWF0DQNSUlJXsuTkpKwfft2n/vOz8/3GZ+fnx9Ujs2iWFAUBR06+J4Brj7i4+P5x2qA58cYz48xnh9jPD/GGuv8hOL2w8kcDgccjobNC9GcsIMjERFRM5CYmAhVVVFQUOC1vKCgAMnJyT63SU5ODireHxYLREREzYDNZsPAgQORnZ1ds0zXdWRnZyMjI8PnNhkZGV7xALBmzRq/8f40i9sQjcVutyMrK8vnvSDi+akLz48xnh9jPD/GeH4CM336dEyaNAmDBg3CkCFDsHDhQpSXl2Py5MkAgIkTJ6J9+/aYO3cuAOC2227D8OHD8fjjj2P06NFYvnw5vv32Wzz//PNBHbdZPDpJRERE1Z555hk8+uijyM/PR//+/fHUU08hPT0dAHDBBRcgLS0Ny5Ytq4l/8803ce+992Lv3r3o2rUr5s+fj1GjRgV1TBYLREREZIh9FoiIiMgQiwUiIiIyxGKBiIiIDLFYICIiIkMRVyyEY+rO5iSY87NkyRKcd955aNmyJVq2bInMzMw6z2dzF+zvz3HLly+HEALjxo0LbYJhFuz5KSoqws0334x27drBbrejW7duEf03Fuz5WbhwIbp3746oqCikpqbijjvuQFVVlUnZmuvzzz/HmDFjkJKSAiEE3n333Tq3ycnJwdlnnw273Y4uXbp49fAnkwU1k0QTt3z5cmmz2eTSpUvljz/+KKdMmSJbtGghCwoKfMavXbtWqqoq58+fL7du3SrvvfdeabVa5Q8//GBy5uYI9vxceeWVctGiRXLz5s1y27Zt8pprrpEJCQnyl19+MTlzcwR7fo7bs2ePbN++vTzvvPPkJZdcYk6yYRDs+XE6nXLQoEFy1KhR8ssvv5R79uyROTk5Mjc31+TMzRHs+Xn11Vel3W6Xr776qtyzZ4/88MMPZbt27eQdd9xhcubmWLVqlbznnnvk22+/LQHUmgzpVLt375bR0dFy+vTpcuvWrfLpp5+WqqrK1atXm5MweYmoYmHIkCHy5ptvrvm3pmkyJSVFzp0712f8ZZddJkePHu21LD09Xf7tb38LaZ7hEuz5OZXH45FxcXHy5ZdfDlWKYVWf8+PxeOS5554rX3jhBTlp0qSILhaCPT/PPfec7NSpk3S5XGalGFbBnp+bb75Z/u53v/NaNn36dDl06NCQ5tkUBFIs3HXXXfKss87yWjZhwgQ5cuTIEGZG/kTMbQiXy4WNGzciMzOzZpmiKMjMzMT69et9brN+/XqveAAYOXKk3/jmrD7n51QVFRVwu91o1apVqNIMm/qen/vvvx9t27bFddddZ0aaYVOf8/Pee+8hIyMDN998M5KSktC7d288/PDD0DTNrLRNU5/zc+6552Ljxo01typ2796NVatWBT1YTqQ6nT6fm4OIGe45nFN3Ngf1OT+nmjFjBlJSUmr9AUeC+pyfL7/8Ei+++CJyc3NNyDC86nN+du/ejU8++QRXXXUVVq1ahV27dmHq1Klwu93IysoyI23T1Of8XHnllSgsLMSwYcMgpYTH48GNN96Iu+++24yUmzx/n88lJSWorKxEVFRUmDI7PUVMywKF1rx587B8+XK88847p9W0rP6Ulpbi6quvxpIlS5CYmBjudJokXdfRtm1bPP/88xg4cCAmTJiAe+65B4sXLw53ak1CTk4OHn74YTz77LPYtGkT3n77baxcuRIPPPBAuFMjqiViWhbCOXVnc1Cf83PcY489hnnz5uHjjz9G3759Q5lm2AR7fn7++Wfs3bsXY8aMqVmm6zoAwGKxYMeOHejcuXNokzZRfX5/2rVrB6vVClVVa5b17NkT+fn5cLlcsNlsIc3ZTPU5P7Nnz8bVV1+N66+/HgDQp08flJeX44YbbsA999wDRTm9v8v5+3yOj49nq0IYRMxvYzin7mwO6nN+AGD+/Pl44IEHsHr1agwaNMiMVMMi2PPTo0cP/PDDD8jNza15jR07FiNGjEBubi5SU1PNTD/k6vP7M3ToUOzataumiAKAnTt3ol27dhFVKAD1Oz8VFRW1CoLjhZXklD2n1edzsxDuHpaNafny5dJut8tly5bJrVu3yhtuuEG2aNFC5ufnSymlvPrqq+XMmTNr4teuXSstFot87LHH5LZt22RWVlbEPzoZzPmZN2+etNls8q233pIHDx6seZWWlobrLYRUsOfnVJH+NESw52f//v0yLi5OTps2Te7YsUN+8MEHsm3btvLBBx8M11sIqWDPT1ZWloyLi5Ovv/663L17t/zoo49k586d5WWXXRautxBSpaWlcvPmzXLz5s0SgFywYIHcvHmz3Ldvn5RSypkzZ8qrr766Jv74o5N33nmn3LZtm1y0aBEfnQyjiCoWpJTy6aeflmeccYa02WxyyJAh8quvvqpZN3z4cDlp0iSv+DfeeEN269ZN2mw2edZZZ8mVK1eanLG5gjk/Z555pgRQ65WVlWV+4iYJ9vfnZJFeLEgZ/PlZt26dTE9Pl3a7XXbq1Ek+9NBD0uPxmJy1eYI5P263W953332yc+fO0uFwyNTUVDl16lR57Ngx8xM3waeffurz8+T4OZk0aZIcPnx4rW369+8vbTab7NSpk3zppZdMz5uqcYpqIiIiMhQxfRaIiIgoNFgsEBERkSEWC0RERGSIxQIREREZYrFAREREhlgsEBERkSEWC0RERGSIxQIREREZYrFAREREhlgsEBERkSEWC0RERGTo/wH9MdMJuVR1fwAAAABJRU5ErkJggg==", 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", 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UAleQJSKZE110bNu2DSkpKUhPT8exY8cQHh6O2NhYXL16tcX4LVu2YPHixUhPT8epU6fw/vvvY9u2bXjppZc6nDxRT+Lq2YZ5OpSKrk+EiKidRBcdy5cvR2JiIhISEjB06FCsXbsW7u7uWL9+fYvxX331FcaNG4ennnoKwcHBeOSRRzBjxgyHd0eIyFa/x0c7jPEKD5IgEyKi9hFVdDQ0NKCgoAAxMTE/NaBUIiYmBvn5+S2ec99996GgoMBaZFy4cAG7d+9GXFxcq+9jMplgNBptNqKert/0MXD1cm89QKnArxb/RrqEiIhEElV0XL9+HWazGX5+fjb7/fz8YDAYWjznqaeewquvvor7778frq6uCA0NxYQJE+w+XsnIyICnp6d1CwriX29EShcVxm6eDbd+Xs2OqdzVGJX5FHoN8JY+MSKiNuryadD37duH119/HatXr0ZUVBTOnz+PBQsW4LXXXsMrr7zS4jmpqalISUmxvjYajSw8iABovD1w7465qPr+Cq7mnoSloQl33RMC3wfvhtKFg9GIqHsTVXT4+PhApVKhoqLCZn9FRQX0en2L57zyyit45pln8NxzzwEARowYgdraWsyZMwcvv/wylMrmvyg1Gg00Go2Y1Ih6DIVCAa/hgfAaHujsVIiIRBH1p5FarUZkZCTy8vKs+ywWC/Ly8hAdHd3iObdu3WpWWKhUKgBcqpuovequVKIs+zgu7ziKqhNl/FkiIlkQfT82JSUF69atwwcffIBTp05h3rx5qK2tRUJCAgBg5syZSE1NtcZPmTIFa9aswdatW1FcXIzc3Fy88sormDJlirX4IKK2aao14buXdiL/8TU480YOzi7PRcFzH+LrmetRe+kHZ6dHRF3swIEDmDJlCgICAqBQKJCdne3wnH379mH06NHQaDQYNGgQsrKybI4vXboUCoXCZgsLC7OJqa+vR1JSEry9veHh4YFp06Y1e+rRFqL7dEyfPh3Xrl3DkiVLYDAYEBERgZycHGvn0pKSEps7G2lpaVAoFEhLS0NZWRl8fX0xZcoU/OUvfxGdLFFPJlgEfPOfO1D17eWf7fzxf2ouXMOxf9+EsZtmQ+Pj4ZwEiajL1dbWIjw8HLNmzcLjjz/uML64uBiTJ0/G3LlzsXnzZuTl5eG5556Dv78/YmNjrXHDhg3Dnj17rK9dXGzLg+TkZOzatQs7duyAp6cn5s+fj8cffxz/+te/ROWvEGRwX9ZoNMLT0xNVVVXQ6XTOTofIKa5/dR7fpuxoPUCpQP+nozAoaaJ0SRF1Q139nXG7/R9Wj4XOrWPjMYx1TfD+45F25apQKPDxxx9j6tSprca8+OKL2LVrF06cOGHd9+STT6KyshI5OTkAfrzTkZ2djcLCwhbbqKqqgq+vL7Zs2YInnngCAHD69GkMGTIE+fn5uPfee9ucM7u7E8lERc73gL0JRy0Cynd9J1k+RNR5fjk3lclk6pR28/PzbebWAoDY2Nhmc2udO3cOAQEBGDhwIJ5++mmUlJRYjxUUFKCxsdGmnbCwMPTv37/VObpaw6KDSCbqrlQ6XNCtTYvCEVG3ExQUZDM/VUZGRqe0azAYWpxby2g0oq6uDgAQFRWFrKws5OTkYM2aNSguLsYDDzyA6upqaxtqtRpeXl7N2mltjq7WdPk8HUTUOeoNbZiZt/s/LSWiFpSWlto8XpFy2ohJkyZZ/z1y5EhERUVhwIAB2L59O2bPnt2p78Wig0gmGo11joNYcxDJkk6n65L+J3q9vsW5tXQ6HdzcWl5E0svLC3fffTfOnz9vbaOhoQGVlZU2dzvszdHVGj5eIZIJocHs7BSISGaio6Nt5tYCgNzc3Fbn1gKAmpoaFBUVwd/fHwAQGRkJV1dXm3bOnDmDkpISu+20hHc6iORCqQAsvJVB1JPV1NRY70AAPw6JLSwsRJ8+fdC/f3+kpqairKwMH374IQBg7ty5ePvtt7Fo0SLMmjULX375JbZv345du3ZZ23jhhRcwZcoUDBgwAFeuXEF6ejpUKhVmzJgBAPD09MTs2bORkpKCPn36QKfT4fnnn0d0dLSokSsAiw4i+WB/DaIe7+jRo5g48adh8bfXKYuPj0dWVhbKy8ttRp6EhIRg165dSE5OxsqVK9GvXz+89957NnN0XL58GTNmzMAPP/wAX19f3H///Th06BB8fX2tMW+99RaUSiWmTZsGk8mE2NhYrF69WnT+nKeDSCa+vLdtvdkfOpTqOIjoDtZT5umQI/bpIJIJpZrLBhCRvLHoIJIJv18PdRij9u4lQSZERO3DooNIJu7+UyygsjclKTD01UclyoaISDwWHUQyodK6ot+T97R63OPuvrgrIkjCjIiIxGHRQSQTt0pu4PKWI60erzl7FeX/PNHqcSIiZ2PRQSQTZdnH7S/4pgDKdhyVLB8iIrFYdBDJhPFUOWCxEyAA1eevSZYPEZFYLDqIZKKxsi1rr3T7aXeIqAdj0UEkEwql/ZErRETdHYsOIployxwcChV/pImo++JvKCKZuGtMMKCwc7dDqcBdo/tLlg8RkVgsOohkIuC3I3+cCr21usMiIMjOPB5ERM7GVWaJZELdpxeGvDIZ36d90uJx/8dGwTs6VOKsiHou43k9oHHtWBumxk7KRh54p4NIJixNFpxbkdfq8fJPClFXVildQkREIrHoIJKJsp3H0HC9pvUAi4CTf/5cuoSIiERi0UEkE5c+zHcYU1VYKkEmRETtw6KDSCYaK285DuLcYETUjbHoIJIJwcKKgojkjUUHkUyotB3rJU9E5GwsOohkoleIj+MgTpVORN0Yiw4imej78BCHMX3uDZEgEyKi9mHRQSQT+rjhrc9G+n8CHh0lTTJERO3AooNIJmrOVtgfnaIAas4YJMuHiEgsFh1EMlG++zv7P7ECcOWzbyTLh4hILBYdRDLRcL0GsDiIuVErTTJERO3AooNIJpRtGDKrclNLkAkRUfuw6CCSCYXC8XBYhYo/0kTUffE3FJFMmOsaHMfUmiTIhIiofVh0EMmEq6e7w8m/XHppJMqGiEg8Fh1EMuH36yGAvfVXVAroJw2XLiEiIpFYdBDJhPf9g+HxKz8oVC3c7VAqoNKq0W/6PdInRkTURiw6iGRC6aLEqL8/Ca9R/f9vh8LacVSr12H06qfg5u/pxAyJiOxj0UEkI66e7hj0/EPwHhcKpasKUCrgMbgvBv3Hw/C428/Z6RER2cWig0hGKnJP4uv4DfjhX0WwmJogNJpRc+4qTizeiXNv7YEg2JsnnYjIuVh0EMmE6Wo1vl/ySavHL28/imv7zkqYERGROCw6iGTi0pbD9hd8A3B+zV5pkiEiagcWHUQycTX3pMOY+pKbEmRCRM5y4MABTJkyBQEBAVAoFMjOznZ4zr59+zB69GhoNBoMGjQIWVlZNsczMjJwzz33oHfv3ujbty+mTp2KM2fO2MRMmDABCoXCZps7d67o/Fl0EMlEY1Wds1MgIierra1FeHg4MjMz2xRfXFyMyZMnY+LEiSgsLMTChQvx3HPP4YsvvrDG7N+/H0lJSTh06BByc3PR2NiIRx55BLW1tgtIJiYmory83Lq9+eabovN3EX0GETmFwkUJocnBMrNEJEtGo9HmtUajgUbTfIbhSZMmYdKkSW1ud+3atQgJCcGyZcsAAEOGDMHBgwfx1ltvITY2FgCQk5Njc05WVhb69u2LgoICPPjgg9b97u7u0Ov1bX7vlvBOB5FMeAz0dRij1PDvCCI5CgoKgqenp3XLyMjolHbz8/MRExNjsy82Nhb5+fmtnlNVVQUA6NOnj83+zZs3w8fHB8OHD0dqaipu3bolOh/+hiKSiUELHsaxf99kNybgd+ESZUNEnam0tBQ6nc76uqW7HO1hMBjg52c7h4+fnx+MRiPq6urg5uZmc8xisWDhwoUYN24chg//aVmFp556CgMGDEBAQAC+/fZbvPjiizhz5gx27twpKh8WHUQy4RUeBH3ccBh2n2jxuDbQC4MWxrR4jIi6N51OZ1N0OEtSUhJOnDiBgwcP2uyfM2eO9d8jRoyAv78/Hn74YRQVFSE0NLTN7fPxCpGMaHx6t3rM1bsXYGafDyL6iV6vR0VFhc2+iooK6HS6Znc55s+fj88//xx79+5Fv3797LYbFRUFADh//ryofFh0EMlEzbmruPRh689hq78rw5VPCqVLiIi6vejoaOTl5dnsy83NRXR0tPW1IAiYP38+Pv74Y3z55ZcICQlx2G5hYSEAwN/fX1Q+LDqIZOLKJ4XWBd5aJACXPzomXUJEJLmamhoUFhZav/SLi4tRWFiIkpISAEBqaipmzpxpjZ87dy4uXLiARYsW4fTp01i9ejW2b9+O5ORka0xSUhI2bdqELVu2oHfv3jAYDDAYDKir+3GYflFREV577TUUFBTg4sWL+PTTTzFz5kw8+OCDGDlypKj82aeDSCZqL/0AwcHjk7qySmmSISKnOHr0KCZOnGh9nZKSAgCIj49HVlYWysvLrQUIAISEhGDXrl1ITk7GypUr0a9fP7z33nvW4bIAsGbNGgA/TgD2cxs2bMCzzz4LtVqNPXv2YMWKFaitrUVQUBCmTZuGtLQ00fmz6CCSCRcPDaBUAJbW50JXublKmBERSW3ChAl2F3b85Wyjt885fvx4q+c4WigyKCgI+/fvb3OO9vDxCpFM9H14iN2CQ6FSQP/IMAkzIiISh0UHkUz4Trgbbv3uaj1ApUS/J++RLiEiIpHa9XglMzMTf/3rX2EwGBAeHo5Vq1Zh7NixrcZXVlbi5Zdfxs6dO3Hjxg0MGDAAK1asQFxcXLsTJ+pphCYL6iqMrR9vMKPhejXc7RUmRNRpfrjoB5OrukNt1DQ2dFI28iD6Tse2bduQkpKC9PR0HDt2DOHh4YiNjcXVq1dbjG9oaMCvf/1rXLx4Ef/4xz9w5swZrFu3DoGBgR1OnqgnubDuANBothtzdlmuRNkQEYkn+k7H8uXLkZiYiISEBAA/Liaza9curF+/HosXL24Wv379ety4cQNfffUVXF1/7OQWHBxs9z1MJhNMJpP19S8XwiHqia7mnnIYU3O+5eKfiKg7EHWno6GhAQUFBTaLxyiVSsTExLS6eMynn36K6OhoJCUlwc/PD8OHD8frr78Os7n1v9gyMjJsFr4JCgoSkybRHanpVhtuw9rvhE5E5FSiio7r16/DbDa3uHiMwWBo8ZwLFy7gH//4B8xmM3bv3o1XXnkFy5Ytw5///OdW3yc1NRVVVVXWrbS0VEyaRHckpVrl7BSIiDqky+fpsFgs6Nu3L959912oVCpERkairKwMf/3rX5Gent7iORqNptNW2CO6U9idjZSISAZEFR0+Pj5QqVQtLh6j1+tbPMff3x+urq5QqX76K23IkCEwGAxoaGiAWt2xnr9EPYWlwX4nUiKi7k7Un05qtRqRkZE2i8dYLBbk5eXZLB7zc+PGjcP58+dhsfw0ffPZs2fh7+/PgoNIBJdebbj7p+j6PIiI2kv0/dqUlBSsW7cOH3zwAU6dOoV58+ahtrbWOppl5syZSE1NtcbPmzcPN27cwIIFC3D27Fns2rULr7/+OpKSkjrvUxD1AL4T7nYY02ugrwSZEBG1j+g+HdOnT8e1a9ewZMkSGAwGREREICcnx9q5tKSkBErlT7VMUFAQvvjiCyQnJ2PkyJEIDAzEggUL8OKLL3bepyDqAQY8fS8ubztqd9G3gfPGS5gREZE4CsHRSi/dgNFohKenJ6qqqqDT6ZydDpHTXP/fc/hu8c4WC48BCfch9N9ZdBB19XfG7faPPp4Ij06YkXTMznU95vuNq8wSyYjPA4MxdstzKNl8GNf3n4XFbIFuiD+Cn70Pd0UOcHZ6RER2seggkhFzfSNKtxyBYdd31rsdN7++CMFsgVugF7R6TydnSETUOg78J5IJQRDwXepOXPnsm2aPV6q+KUXBnI1ouHnLSdkRETnGooNIJm5+fRE38i8AlubdsASzANP1Glz+x1EnZEZE1DYsOohkwvDPE1Co7EzEYRFw5dNvpEuIiEgkFh1EMmG6Vg3BbH+wWSMfrxBRN8aig0gmNH11gL07HQDU3h4SZUNEJB6LDiKZ0McNBxzc6fB7eIhE2RARiceig0gmzLcaHMZYGpokyISIqH1YdBDJREXuSYcLulXknZImGSKidmDRQSQTjZV1gINFC5qq66VJhoioHVh0EMmEW4AXFCr7P7Javzt/7QYiki8WHUQy4T9lpN0VZqFQIOCxUdIlREQkEosOIpnQDQuA/5Twlg8qFegV6oPAx0dLmxQRkQgsOohkQqFQICx1Evo/cy8UatVPB5QK+Nw/CKPX/AEu7h1bZpuIqCux6CCSkcrCUlzefhRCo/mnnYKA6wfOofzzb52XGBFRG7DoIJKJxqo6fJO8DRZTk+0olv/79/mVebhZcMkpuRERtQWLDiKZKN1x9MeCw47zmXslyoaISDwWHUQyUZHzvcOY6lMGCTIhImofFh1EMmH6ocZxkOBg9jAiIidi0UEkFywoiEjmWHQQyYRS4+rsFIiIOoRFB5FMKPjTStTjHThwAFOmTEFAQAAUCgWys7MdnrNv3z6MHj0aGo0GgwYNQlZWVrOYzMxMBAcHQ6vVIioqCkeOHLE5Xl9fj6SkJHh7e8PDwwPTpk1DRUWF6Pz5a4xIJiwms+MgIrqj1dbWIjw8HJmZmW2KLy4uxuTJkzFx4kQUFhZi4cKFeO655/DFF19YY7Zt24aUlBSkp6fj2LFjCA8PR2xsLK5evWqNSU5OxmeffYYdO3Zg//79uHLlCh5//HHR+buIPoOInMLSyKKD6E5lNBptXms0Gmg0mmZxkyZNwqRJk9rc7tq1axESEoJly5YBAIYMGYKDBw/irbfeQmxsLABg+fLlSExMREJCgvWcXbt2Yf369Vi8eDGqqqrw/vvvY8uWLXjooYcAABs2bMCQIUNw6NAh3HvvvW3Oh0UHkWywIylRd3Llkj96uWg71EZtUz0AICgoyGZ/eno6li5d2qG2ASA/Px8xMTE2+2JjY7Fw4UIAQENDAwoKCpCammo9rlQqERMTg/z8fABAQUEBGhsbbdoJCwtD//79kZ+fz6KD6E6kctegqarO2WkQURcoLS2FTqezvm7pLkd7GAwG+Pn52ezz8/OD0WhEXV0dbt68CbPZ3GLM6dOnrW2o1Wp4eXk1izEYxM0NxD4dRDLhOTLQYYyLp5sEmRBRZ9PpdDZbZxUd3Q2LDiKZ8Aj1dRij8fGQIBMikgu9Xt9slElFRQV0Oh3c3Nzg4+MDlUrVYoxer7e20dDQgMrKylZj2opFB5FM1Jy96jCmruymBJkQkVxER0cjLy/PZl9ubi6io6MBAGq1GpGRkTYxFosFeXl51pjIyEi4urraxJw5cwYlJSXWmLZinw4imRDMFsdBFnY2JbqT1dTU4Pz589bXxcXFKCwsRJ8+fdC/f3+kpqairKwMH374IQBg7ty5ePvtt7Fo0SLMmjULX375JbZv345du3ZZ20hJSUF8fDzGjBmDsWPHYsWKFaitrbWOZvH09MTs2bORkpKCPn36QKfT4fnnn0d0dLSoTqQAiw4i2fAMD8KNry+2XlgoFfAc2U/SnIhIWkePHsXEiROtr1NSUgAA8fHxyMrKQnl5OUpKSqzHQ0JCsGvXLiQnJ2PlypXo168f3nvvPetwWQCYPn06rl27hiVLlsBgMCAiIgI5OTk2nUvfeustKJVKTJs2DSaTCbGxsVi9erXo/BWC0P0XdDAajfD09ERVVZVN716inqT+ejW+mpJpdw2WYa/9Dn6/HiZhVkTdT1d/Z9xu/9PIJZ0yZPZ3Ba/2mO839ukgkon6y5UOF32ru1IlTTJERO3AooNIJso//xYKlf0f2SvZhdIkQ0TUDiw6iGSivsLosDOp6Vq1RNkQEYnHooNIJtR3uQNKhd0YV04ORkTdGIsOIpnQTxpuf0isUgH/34ZLlxARkUgsOohkok/UQNw1ZkCLdzsUKgXUd7kj6N/GOCEzIqK2YdFBJBMKpQIj//oE/B4Z1qzw6B3mj9HvPAO1dy8nZUdE5BgnByOSEZWbGsOWTsGgP07Aja+LYWm0QDfUH73v9nN8MhGRk7HoIJIhTd/e8J880tlpEBGJwscrREREJAkWHURERCQJFh1EREQkCRYdREREJAkWHURERCQJFh1EREQkCRYdREREJAnO00EkMxV7TuHCmn2oK6sEALjotOj3RCRCEh+AQmF/QTgiImdi0UEkI2dX7MHlrV/b7Gsy1uPi+n/h+r/O456sBBYeRNRt8fEKkUwYT5c3Kzh+ruZMBYpW75MuISIikVh0EMnE+b9/6TCm7OPjEmRCRNQ+LDqIZKKm6JrDGHONSYJMiIjah0UHkUwolOyrQUTyxqKDSCY8w4Mcxqh9PCTIhIiofdpVdGRmZiI4OBharRZRUVE4cuRIm87bunUrFAoFpk6d2p63JerRBi94yGFMcMJ9EmRCRNQ+oouObdu2ISUlBenp6Th27BjCw8MRGxuLq1ev2j3v4sWLeOGFF/DAAw+0O1minkzj7QF1H/fWA5QK9LknWLJ8iIjEEl10LF++HImJiUhISMDQoUOxdu1auLu7Y/369a2eYzab8fTTT+O//uu/MHDgwA4lTNRTXd17Bg03brV6XKEASv+n9SG1RETOJqroaGhoQEFBAWJiYn5qQKlETEwM8vPzWz3v1VdfRd++fTF79uw2vY/JZILRaLTZiHq6a3tPA3Y6kwpmARV7TkqYERGROKKKjuvXr8NsNsPPz89mv5+fHwwGQ4vnHDx4EO+//z7WrVvX5vfJyMiAp6endQsKctyBjuhO11TbAFgEuzHm+iaJsiEiEq9LR69UV1fjmWeewbp16+Dj49Pm81JTU1FVVWXdSktLuzBLInnoFeIDhcrOsFkF4N6/j3QJERGJJGrtFR8fH6hUKlRUVNjsr6iogF6vbxZfVFSEixcvYsqUKdZ9Fovlxzd2ccGZM2cQGhra7DyNRgONRiMmNaI7XsDUCFzefrT1AAHo90SkdAkR9XCXSvzgpnTrUBt1lrpOykYeRN3pUKvViIyMRF5ennWfxWJBXl4eoqOjm8WHhYXhu+++Q2FhoXX73e9+h4kTJ6KwsJCPTYhE6BXiA7eg1u9kKNQq+Dw4SMKMiIjEEb3KbEpKCuLj4zFmzBiMHTsWK1asQG1tLRISEgAAM2fORGBgIDIyMqDVajF8+HCb8728vACg2X4isu9mwSXUld5o9bjQaEbZzkIMTOSwdCLqnkQXHdOnT8e1a9ewZMkSGAwGREREICcnx9q5tKSkBEolJzol6myG3d8BKgVgbqUzqQCUf/oNiw4i6rZEFx0AMH/+fMyfP7/FY/v27bN7blZWVnvekqjHM12tbr3g+D8NN2slyoaISDzekiCSibasq+Lq2bFObUREXYlFB5FMuPl7OozR+OkkyISInEnM+meNjY149dVXERoaCq1Wi/DwcOTk5NjEBAcHQ6FQNNuSkpKsMRMmTGh2fO7cuaJzZ9FBJBM1xdcdxtyy09GUiORP7PpnaWlpeOedd7Bq1SqcPHkSc+fOxWOPPYbjx49bY77++muUl5dbt9zcXADA73//e5u2EhMTbeLefPNN0fmz6CCSiaZqk8MYc12jBJkQkbOIXf9s48aNeOmllxAXF4eBAwdi3rx5iIuLw7Jly6wxvr6+0Ov11u3zzz9HaGgoxo8fb9OWu7u7TZxOJ/7OKosOIplQ2JmM9DaVul19w4nIyX653pjJ1PyPjPasf2YymaDVam32ubm54eDBgy3GNzQ0YNOmTZg1axYUv/ils3nzZvj4+GD48OFITU3FrVutL0DZGhYdRDJhulbtMMZczzsdRHIUFBRks+ZYRkZGs5j2rH8WGxuL5cuX49y5c7BYLMjNzcXOnTtRXl7eYnx2djYqKyvx7LPP2ux/6qmnsGnTJuzduxepqanYuHEj/vCHP4j+nPyziEgmGqraMF2ygwXhiKh7Ki0ttXlc0VlLgaxcuRKJiYkICwuDQqFAaGgoEhISWn0c8/7772PSpEkICAiw2T9nzhzrv0eMGAF/f388/PDDKCoqanE5k9bwTgeRTKg0rs5OgYi6iE6ns9laKjrErn8G/NhfIzs7G7W1tbh06RJOnz4NDw8PDBw4sFnspUuXsGfPHjz33HMO842KigIAnD9/vi0fz4pFB5FM9Lk3xGGMNsDxsFoikiex65/9nFarRWBgIJqamvDRRx/h0UcfbRazYcMG9O3bF5MnT3aYS2FhIQDA399f1Gfg4xUimQhJGIfyT76xH5P4oETZEJEziFn/DAAOHz6MsrIyREREoKysDEuXLoXFYsGiRYts2rVYLNiwYQPi4+Ph4mJbGhQVFWHLli2Ii4uDt7c3vv32WyQnJ+PBBx/EyJEjReXPooNIJrR6T4S9HIfTf9nd4nH95BHQ/2aYxFkRkZTErn9WX1+PtLQ0XLhwAR4eHoiLi8PGjRuti6/etmfPHpSUlGDWrFnN3lOtVmPPnj3WAicoKAjTpk1DWlqa6PwVgiB0+55nRqMRnp6eqKqqate4YKI7RWVhKQoXbIXF1NTs2OCUGAT92z1OyIqoe+nq74zb7a/yzYSbsmNLD9RZ6vD8taQe8/3GPh1EMtFYVYdvUrbD0mhu8fi55Xtws+CSxFkREbUdiw4imSjf9R3MdQ2tDotVqBQo+Z/W12AgInI2Fh1EMnHz6EXAzsNQwSz8GENE1E2x6CCSCaEtE39Zuj4PIqL2YtFBJBNe4f0ApZ0FWFQKeIb3ky4hIiKRWHQQyUTA7yKgUNn5kTULCHqSo1eIqPti0UEkE2rvXhjx+mNQuCihUP10x+P2v4MT7oPPuEHOSo+IyCEWHUQy4vPAYIx+5xnohgVAoVZB4aKE1t8LQ9J/i4H/Pt7Z6RER2cUZSYlkxHjyCr5ZuA1NNfXWkSx1Vypx6rVdEBotCPhduHMTJCKyg3c6iGSiqaYehQu2oanWZDt01iIAFgGnX9+Nqm8vOy0/IiJHWHQQyUT57hM/3uFobegsJwcjom6ORQeRTNw4fMHu5GAwC/gh/4Jk+RARicWig0gmhKY2zPxl4exgRNR9seggkgnd8ED7k4MpFeg9NEC6hIiIRGLRQSQTgY9GQKGwU3RYBARN5+RgRNR9seggkglN394YunQKoFTYTA52++5Hv+lj4DvhbidlR0TkGIsOIhnpGzMEQTPuAVxUP+0UBHiPC0XInAft3wkhInIyFh1EMnJ2eS5KNx+BYGr6aacA/JB/AYXz/wfm+kbnJUdE5ACLDiKZqD5tQNmOgpYPWgRUny5H2cfHpU2KiEgEFh1EMnHlk0LbvhwtKNt5TKJsiIjE49orRDJx6/JNCGY7s4MJQL3BKF1CRD3c6Wtu0CjcO9SGyd6Ef3cg3ukgkgmFyvGPq9KFP9JE1H3xNxSRTDh6tAIACjVvXhJR98Wig0gmzD8fsdKKplqTBJkQEbUPiw4imXDppQEc3Oxw0bpKkwwRUTuw6CCSib4Tf2V3lVmFSoG+vx4qXUJERCKx6CCSib4PhcEt6C6gpb4dCgUUKhWCnuTaK0TUfbHoIJIJpdoFI5f9Hi7u6hYOAmFpceg1wFv6xIiI2ohFB5FMCBYBZ//6/9BU3UJnUYuA8yu/RMONWukTIyJqIxYdRDJx4+ti3Pz6YssHBaDhRg1Ktx+VNCciIjFYdBDJxJWPC+0HCEDZR5wGnYi6LxYdRDJRfbbCYUxTTb0EmRARtQ+LDiKZsDQ6nhzM3pBaIiJnY9FBJBNaP53DGAXXXiGiboy/oYhkou/DYQ5j7hob3PWJEBG1E4sOIpnwnzwSUNqfBz1o+liJsiEiZ8nMzERwcDC0Wi2ioqJw5MiRVmMbGxvx6quvIjQ0FFqtFuHh4cjJybGJWbp0KRQKhc0WFmb7R059fT2SkpLg7e0NDw8PTJs2DRUVjvuZ/RKLDiKZqD5lACz2O21c23dGomyIyBm2bduGlJQUpKen49ixYwgPD0dsbCyuXr3aYnxaWhreeecdrFq1CidPnsTcuXPx2GOP4fjx4zZxw4YNQ3l5uXU7ePCgzfHk5GR89tln2LFjB/bv348rV67g8ccfF50/iw4imbjw7gGHMYZ/fidBJkTkLMuXL0diYiISEhIwdOhQrF27Fu7u7li/fn2L8Rs3bsRLL72EuLg4DBw4EPPmzUNcXByWLVtmE+fi4gK9Xm/dfHx8rMeqqqrw/vvvY/ny5XjooYcQGRmJDRs24KuvvsKhQ4dE5c+ig0gmbpXecBhjqW/DCBci6naMRqPNZjI1n3m4oaEBBQUFiImJse5TKpWIiYlBfn5+i+2aTCZotVqbfW5ubs3uZJw7dw4BAQEYOHAgnn76aZSUlFiPFRQUoLGx0eZ9w8LC0L9//1bftzUsOojkgsNhie5YQUFB8PT0tG4ZGRnNYq5fvw6z2Qw/Pz+b/X5+fjAYDC22Gxsbi+XLl+PcuXOwWCzIzc3Fzp07UV5ebo2JiopCVlYWcnJysGbNGhQXF+OBBx5AdXU1AMBgMECtVsPLy6vN79saF1HRROQ0Kg81mqodTP5lv58pEXVTpaWl0Ol+Ghav0Wg6pd2VK1ciMTERYWFhUCgUCA0NRUJCgs3jmEmTJln/PXLkSERFRWHAgAHYvn07Zs+e3Sl53MY7HUQyofJowy8h3g0hkiWdTmeztVR0+Pj4QKVSNRs1UlFRAb1e32K7vr6+yM7ORm1tLS5duoTTp0/Dw8MDAwcObDUXLy8v3H333Th//jwAQK/Xo6GhAZWVlW1+39aw6CCSCXNLq8v+koK3OojuVGq1GpGRkcjLy7Pus1gsyMvLQ3R0tN1ztVotAgMD0dTUhI8++giPPvpoq7E1NTUoKiqCv78/ACAyMhKurq4273vmzBmUlJQ4fN9f4uMVIpkw1zU6DhJ4q4PoTpaSkoL4+HiMGTMGY8eOxYoVK1BbW4uEhAQAwMyZMxEYGGjtE3L48GGUlZUhIiICZWVlWLp0KSwWCxYtWmRt84UXXsCUKVMwYMAAXLlyBenp6VCpVJgxYwYAwNPTE7Nnz0ZKSgr69OkDnU6H559/HtHR0bj33ntF5c+ig0gueBODqMebPn06rl27hiVLlsBgMCAiIgI5OTnWzqUlJSVQKn96iFFfX4+0tDRcuHABHh4eiIuLw8aNG206hV6+fBkzZszADz/8AF9fX9x///04dOgQfH19rTFvvfUWlEolpk2bBpPJhNjYWKxevVp0/gpBEP+nUWZmJv7617/CYDAgPDwcq1atwtixLc+EuG7dOnz44Yc4ceIEgB9v07z++uutxrfEaDTC09MTVVVVNh1tiHqSgjkbUfXtZbsxSq0LJuz7k0QZEXVPXf2dcbv9JKyHRuHeobZMwi1kYlaP+X4T3adD7Gxo+/btw4wZM7B3717k5+cjKCgIjzzyCMrKyjqcPFFP0v+ZKIcx+rgREmRCRNQ+oosOsbOhbd68GX/84x8RERGBsLAwvPfee9aOL60xmUzNJkoh6ul8xg2Gbnhgq8ddemsRMut+CTMiIhJHVNHRntnQfunWrVtobGxEnz59Wo3JyMiwmSQlKChITJpEdySFUoGIldNbXG3W424/jHl/JjQ+Hk7IjIiobUR1JLU3G9rp06fb1MaLL76IgIAAm8Lll1JTU5GSkmJ9bTQaWXgQAXDppcHwvzyGuqRK3DhyEUKTGbqh/tANDXB2akREDkk6euWNN97A1q1bsW/fvmZzwf+cRqPptNnYiO5EbgFeCJwa4ew0iIhEEVV0tGc2tNv+9re/4Y033sCePXswcuRI8ZkSEQDAeKocRZl7UfntZcAiwK3fXQhJfAB9H/pxmmMiou5KVJ+O9s6G9uabb+K1115DTk4OxowZ0/5siXq40h1HcTQhCzePXoLQYIbQZMGtiz/g+5ez8V3qTrRjBDwRkWREj15JSUnBunXr8MEHH+DUqVOYN29es9nQUlNTrfH//d//jVdeeQXr169HcHAwDAYDDAYDampqOu9TEPUAdWWVOLcst9Xj1/edxeXtBRJmREQkjug+HWJnQ1uzZg0aGhrwxBNP2LSTnp6OpUuXdix7oh7k3N9bH2Z+26UPv0LQdN5NJKLuqV0dSefPn4/58+e3eGzfvn02ry9evNietyCiX3A0GykANPxQK0EmRETtw1VmiWRCsLC/BhHJGxd8I5IJj1BfVB4rsRuj6qWWKBsiOqWsh0sHR4w1CfWApZMSkgHe6SCSiUFJExzGBD42qusTISJqJxYdRDKhGxaIADtFRa+BPhg4d7yEGRERicPHK0QyEvbib6Ab5o/id/4XpmvVAACl1hX9po3CwLkToHRROTlDIqLWseggkpmA34Yj4LfhaKy6BUujBeo+vaBQciZSIur+WHQQyZSrp7uzUyAiEoV9OoiIiEgSLDqIiIhIEny8QiQz1WcMKNl8GNf/9zwEsxm9h/qj/1NR8HlgMFeZJaJujUUHkYwYvvgeJ5d+CvxsctKqwsv4rvAyAh6NwK8W/4aFBxF1W3y8QiQT9RVGnEy3LTh+7sonhTB88b20SRERicCig0gmLrz3vw5jit85IEEmRETtw6KDSCZuHrrgMKa+vEqCTIiI2odFB5FMNNU1OjsFIqIOYdFBJBNKF/64EpG88bcYkUyo+/RyHMSBK0TUjbHoIJIJFy/H054r1FzwjYi6LxYdRDKhVDn+ceUqs0TUnbHoIJIJwdLKBB0/Y65nZ1Mi6r5YdBDJhLqPu8M+G646N2mSISJqBxYdRDKhf2RYq7ORAgAUgH/cCMnyISISi0UHkUx43xcKbaBXq8cVLir0+7cx0iVERCQSiw4imTBdq0b9lcpWjwuNZlR9e1m6hIiIRGLRQSQTl3cet/94BcDFD76SJhkionZg0UEkExV7TjqMqT1/TYJMiMiZMjMzERwcDK1Wi6ioKBw5cqTV2MbGRrz66qsIDQ2FVqtFeHg4cnJybGIyMjJwzz33oHfv3ujbty+mTp2KM2fO2MRMmDABCoXCZps7d67o3Fl0EMlEw9VqZ6dARE62bds2pKSkID09HceOHUN4eDhiY2Nx9erVFuPT0tLwzjvvYNWqVTh58iTmzp2Lxx57DMePH7fG7N+/H0lJSTh06BByc3PR2NiIRx55BLW1tTZtJSYmory83Lq9+eabovNn0UEkE22Zp4OI7mzLly9HYmIiEhISMHToUKxduxbu7u5Yv359i/EbN27ESy+9hLi4OAwcOBDz5s1DXFwcli1bZo3JycnBs88+i2HDhiE8PBxZWVkoKSlBQUGBTVvu7u7Q6/XWTafTic6fRQeRTChcOdso0Z3KaDTabCaTqVlMQ0MDCgoKEBMTY92nVCoRExOD/Pz8Fts1mUzQarU2+9zc3HDw4MFWc6mqqgIA9OnTx2b/5s2b4ePjg+HDhyM1NRW3bt1q8+ez5iv6DCJyCl2Y3mGMUusiQSZE1NmCgoLg6elp3TIyMprFXL9+HWazGX5+fjb7/fz8YDAYWmw3NjYWy5cvx7lz52CxWJCbm4udO3eivLy8xXiLxYKFCxdi3LhxGD58uHX/U089hU2bNmHv3r1ITU3Fxo0b8Yc//EH05+RvKCKZCHh8FKq+sT8k1nNUf4myIaLOVFpaavO4QqPRdEq7K1euRGJiIsLCwqBQKBAaGoqEhIRWH8ckJSXhxIkTze6EzJkzx/rvESNGwN/fHw8//DCKiooQGhra5nx4p4NIJqqOlTqMuVV8XYJMiKiz6XQ6m62losPHxwcqlQoVFRU2+ysqKqDXt3wn1NfXF9nZ2aitrcWlS5dw+vRpeHh4YODAgc1i58+fj88//xx79+5Fv3797OYbFRUFADh//nxbPyIAFh1EsnHz2CWHMaYKowSZEJEzqNVqREZGIi8vz7rPYrEgLy8P0dHRds/VarUIDAxEU1MTPvroIzz66KPWY4IgYP78+fj444/x5ZdfIiQkxGEuhYWFAAB/f39Rn4GPV4hkoqm2wXEQB7gQ3dFSUlIQHx+PMWPGYOzYsVixYgVqa2uRkJAAAJg5cyYCAwOtfUIOHz6MsrIyREREoKysDEuXLoXFYsGiRYusbSYlJWHLli345JNP0Lt3b2v/EE9PT7i5uaGoqAhbtmxBXFwcvL298e233yI5ORkPPvggRo4cKSp/Fh1EMqHu0wuNN2rtBykdLENLRLI2ffp0XLt2DUuWLIHBYEBERARycnKsnUtLSkqgVP70EKO+vh5paWm4cOECPDw8EBcXh40bN8LLy8sas2bNGgA/TgD2cxs2bMCzzz4LtVqNPXv2WAucoKAgTJs2DWlpaaLzVwiC0O3/NjIajfD09ERVVVW7xgUT3QmK3/tfFL/X+jA3ANCNCMSYdTMlyoioe+rq74zb7T+kXA0XhVuH2moS6vCl5Y895vuNfTqIZCLwsdGAi/0f2eBn75MoGyIi8Vh0EMmE2rsX9I8MbfW4W9Bd6BPVvEc6EVF3wT4dRDJRe+kHGHafaPV4XelNGHZ/h4DfhUuYFVHPdcS1AgqF1nGgHYJQDzSffPSOxTsdRDJx5ePjDn9iL+84Kk0yRETtwKKDSCaqz18FLPZjai5waXsi6r5YdBDJhLnW8T1YDpglou6MRQeRTDT84GCODgCCpduPgCeiHoxFB5FMNNW0obcZaw4i6sZYdBDJhGB20KGDiKibY9FBJBOunh2b+ZCIyNlYdBDJRO8RgQ5jVJ7Nl8MmIuouWHQQyUS/30U4jAmaNqbrEyEiaicWHUQy4RU5AC46O7MfKhXw+/UQ6RIiIhKJRQeRTNwsuIgmY33rARYBhi9OSpcQEZFILDqIZMLwz9bXXbntymffSJAJEVH7sOggkolbJTccxjTevCVBJkRE7cOig0gm2jQNuoIToRNR98Wig0gmVG5qhzGCwClJiaj7YtFBJBNugV4OY1w8OE8HEXVfLDqIZKJvjOPhsH0fCpMgEyKi9mlX0ZGZmYng4GBotVpERUXhyJEjduN37NiBsLAwaLVajBgxArt3725XskQ9mVLr+PGKUuMiQSZERO0juujYtm0bUlJSkJ6ejmPHjiE8PByxsbG4evVqi/FfffUVZsyYgdmzZ+P48eOYOnUqpk6dihMnHA//I6KfXP1/3wMq+x1Fr355WqJsiIjEE110LF++HImJiUhISMDQoUOxdu1auLu7Y/369S3Gr1y5Er/5zW/wpz/9CUOGDMFrr72G0aNH4+233+5w8kQ9ielaNWC231GUQ2aJqDsTVXQ0NDSgoKAAMTExPzWgVCImJgb5+fktnpOfn28TDwCxsbGtxgOAyWSC0Wi02Yh6Ok1fHRQO7nSovT0kyoaISDxRRcf169dhNpvh5+dns9/Pzw8Gg6HFcwwGg6h4AMjIyICnp6d1CwoKEpMm0R3J/7cjIdi706FUIODRcOkSIiISqVuOXklNTUVVVZV1Ky0tdXZKRE7nNSoIPhPuBlqYAEyhUkCr16HfE5FOyIyIqG1EFR0+Pj5QqVSoqKiw2V9RUQG9Xt/iOXq9XlQ8AGg0Guh0OpuNqKdTKBQY/tpUBD15D5Rq21EqfaJDEbluJlx1bk7KjojIMVHj69RqNSIjI5GXl4epU6cCACwWC/Ly8jB//vwWz4mOjkZeXh4WLlxo3Zebm4vo6Oh2J03UUyldVRi84GGEzB6Hym8uQ2g0w+NXerj5ezo7NSIih0QP6k9JSUF8fDzGjBmDsWPHYsWKFaitrUVCQgIAYObMmQgMDERGRgYAYMGCBRg/fjyWLVuGyZMnY+vWrTh69Cjefffdzv0kRD2Ii4cWPuMGOTsNIiJRRBcd06dPx7Vr17BkyRIYDAZEREQgJyfH2lm0pKQESuVPT23uu+8+bNmyBWlpaXjppZcwePBgZGdnY/jw4Z33KYiIiKjbUwgyWCHKaDTC09MTVVVV7N9BRER2dfV3xu32PTTpUCi0HWpLEOpRY/qvHvP91i1HrxAREdGdh0UHERERSYJFBxEREUmCRQcRERFJgkUHERERSYJFBxERkYxkZmYiODgYWq0WUVFROHLkSKuxjY2NePXVVxEaGgqtVovw8HDk5OSIbrO+vh5JSUnw9vaGh4cHpk2b1my28bZg0UFERCQT27ZtQ0pKCtLT03Hs2DGEh4cjNjYWV69ebTE+LS0N77zzDlatWoWTJ09i7ty5eOyxx3D8+HFRbSYnJ+Ozzz7Djh07sH//fly5cgWPP/646PxlMU9HVVUVvLy8UFpa2iPGMRMRUfsZjUYEBQWhsrISnp6dv0TA7Xk6emkWQwFNh9oSYEKt6Y1m328ajQYaTfO2o6KicM899+Dtt98G8ONSJEFBQXj++eexePHiZvEBAQF4+eWXkZSUZN03bdo0uLm5YdOmTW1qs6qqCr6+vtiyZQueeOIJAMDp06cxZMgQ5Ofn4957723z5xU9I6kzVFdXAwCXuCciojarrq7ukqJDrVZDr9fDYHijU9rz8PBo9v2Wnp6OpUuX2uxraGhAQUEBUlNTrfuUSiViYmKQn5/fYtsmkwlare0EZm5ubjh48GCb2ywoKEBjYyNiYmKsMWFhYejfv/+dWXQEBASgtLQUvXv3hqKFZb3l6nY1zjs4LeP1sY/Xxz5eH/vu5OsjCAKqq6sREBDQJe1rtVoUFxejoaGhU9oTBKHZd1tLdzmuX78Os9lsXXbkNj8/P5w+fbrFtmNjY7F8+XI8+OCDCA0NRV5eHnbu3Amz2dzmNg0GA9RqNby8vJrFGAwGUZ9VFkWHUqlEv379nJ1Gl9HpdHfcD31n4vWxj9fHPl4f++7U69MVdzh+TqvVNruD0B2tXLkSiYmJCAsLg0KhQGhoKBISErB+/Xqn5MOOpERERDLg4+MDlUrVbNRIRUUF9Hp9i+f4+voiOzsbtbW1uHTpEk6fPg0PDw8MHDiwzW3q9Xo0NDSgsrKyze/bGhYdREREMqBWqxEZGYm8vDzrPovFgry8PERHR9s9V6vVIjAwEE1NTfjoo4/w6KOPtrnNyMhIuLq62sScOXMGJSUlDt/3l2TxeOVOpdFokJ6e3uKzO+L1cYTXxz5eH/t4feQpJSUF8fHxGDNmDMaOHYsVK1agtrYWCQkJAICZM2ciMDAQGRkZAIDDhw+jrKwMERERKCsrw9KlS2GxWLBo0aI2t+np6YnZs2cjJSUFffr0gU6nw/PPP4/o6GhRnUgBAAIRERHJxqpVq4T+/fsLarVaGDt2rHDo0CHrsfHjxwvx8fHW1/v27ROGDBkiaDQawdvbW3jmmWeEsrIyUW0KgiDU1dUJf/zjH4W77rpLcHd3Fx577DGhvLxcdO6ymKeDiIiI5I99OoiIiEgSLDqIiIhIEiw6iIiISBIsOoiIiEgSLDo6UVcsN1xWVoY//OEP8Pb2hpubG0aMGIGjR4925cfoMp19fcxmM1555RWEhITAzc0NoaGheO211yDHvtEHDhzAlClTEBAQAIVCgezsbIfn7Nu3D6NHj4ZGo8GgQYOQlZXVLEbMNe/OuuL6ZGRk4J577kHv3r3Rt29fTJ06FWfOnOmaDyCBrvpv6LY33ngDCoUCCxcu7LScqQcSPd6FWrR161ZBrVYL69evF77//nshMTFR8PLyEioqKlqMX7RokRAQECDs2rVLKCoqElavXi1otVrh2LFj1pgbN24IAwYMEJ599lnh8OHDwoULF4QvvvhCOH/+vFQfq9N0xfX5y1/+Inh7ewuff/65UFxcLOzYsUPw8PAQVq5cKdXH6jS7d+8WXn75ZWHnzp0CAOHjjz+2G3/hwgXB3d1dSElJEU6ePCmsWrVKUKlUQk5OjjVG7DXvzrri+sTGxgobNmwQTpw4IRQWFgpxcXFC//79hZqami7+NF2jK67RbUeOHBGCg4OFkSNHCgsWLOiaD0A9AouOTjJ27FghKSnJ+tpsNgsBAQFCRkZGi/H+/v7C22+/bbPv8ccfF55++mnr6xdffFG4//77uyZhiXXF9Zk8ebIwa9YsuzFy1JYvjEWLFgnDhg2z2Td9+nQhNjbW+lrsNZeLzro+v3T16lUBgLB///7OSNOpOvMaVVdXC4MHDxZyc3OF8ePHs+igDuHjlU5we2ngny/729HlhgHg008/xZgxY/D73/8effv2xahRo7Bu3bqu+RBdqKuuz3333Ye8vDycPXsWAPDNN9/g4MGDmDRpUhd8iu4lPz/f5noCP64meft6tuea30kcXZ+WVFVVAQD69OnTpbl1F229RklJSZg8eXKzWKL2YNHRCewtDdzasr+3lxs+d+4cLBYLcnNzsXPnTpSXl1tjLly4gDVr1mDw4MH44osvMG/ePPzHf/wHPvjggy79PJ2tq67P4sWL8eSTTyIsLAyurq4YNWoUFi5ciKeffrpLP093YDAYWryeRqMRdXV17brmdxJH1+eXLBYLFi5ciHHjxmH48OFSpelUbblGW7duxbFjx6xTahN1FIsOJ1m5ciUGDx6MsLAwqNVqzJ8/HwkJCVAqf/q/xGKxYPTo0Xj99dcxatQozJkzB4mJiVi7dq0TM5dGW67P9u3bsXnzZmzZsgXHjh3DBx98gL/97W+yK8rI+ZKSknDixAls3brV2al0G6WlpViwYAE2b94siyXcSR5YdHSCrlhuGAD8/f0xdOhQm/OGDBmCkpKSzv8QXairrs+f/vQn692OESNG4JlnnkFycnKP+KtMr9e3eD11Oh3c3Nzadc3vJI6uz8/Nnz8fn3/+Ofbu3Yt+/fpJmaZTObpGBQUFuHr1KkaPHg0XFxe4uLhg//79+Pvf/w4XFxeYzWYnZU5yxqKjE3TFcsMAMG7cuGZD+M6ePYsBAwZ07gfoYl11fW7dumVz5wMAVCoVLBZL536Abig6OtrmegJAbm6u9Xp25JrfCRxdHwAQBAHz58/Hxx9/jC+//BIhISFSp+lUjq7Rww8/jO+++w6FhYXWbcyYMXj66adRWFgIlUrljLRJ7pzdk/VOsXXrVkGj0QhZWVnCyZMnhTlz5gheXl6CwWAQBEEQnnnmGWHx4sXW+EOHDgkfffSRUFRUJBw4cEB46KGHhJCQEOHmzZvWmCNHjgguLi7CX/7yF+HcuXPC5s2bBXd3d2HTpk1Sf7wO64rrEx8fLwQGBlqHzO7cuVPw8fERFi1aJPXH67Dq6mrh+PHjwvHjxwUAwvLly4Xjx48Lly5dEgRBEBYvXiw888wz1vjbwx3/9Kc/CadOnRIyMzNbHDJr75rLSVdcn3nz5gmenp7Cvn37hPLycut269YtyT9fZ+iKa/RLHL1CHcWioxN1xXLDn332mTB8+HBBo9EIYWFhwrvvvivFR+kSnX19jEajsGDBAqF///6CVqsVBg4cKLz88suCyWSS6iN1mr179woAmm23r0l8fLwwfvz4ZudEREQIarVaGDhwoLBhw4Zm7TparlouuuL6tNQegBavoxx01X9DP8eigzqKS9sTERGRJNing4iIiCTBooOIiIgkwaKDiIiIJMGig4iIiCTBooOIiIgkwaKDiIiIJMGig4iIiCTBooOIiIgkwaKDiIiIJMGig4iIiCTBooOIiIgk8f8Bz4NpUHr0rmgAAAAASUVORK5CYII=", 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", "text/plain": [ "
" ] @@ -328,7 +328,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.10.6" + "version": "3.8.10" }, "orig_nbformat": 4 }, diff --git a/Tutorials/3. Gradients/1. Gradients.ipynb b/Tutorials/3. Gradients/1. Gradients.ipynb index 74d714d..f2a6cc2 100644 --- a/Tutorials/3. Gradients/1. Gradients.ipynb +++ b/Tutorials/3. Gradients/1. Gradients.ipynb @@ -74,8 +74,9 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "$$y=x^2 +1\\\\\n", - "\\frac{dy}{dx} = 2x$$" + "$$y=x^2 +1$$\n", + "\n", + "$$\\frac{dy}{dx} = 2x$$" ] }, { @@ -105,7 +106,7 @@ { "data": { "text/plain": [ - "" + "tensor([4.])" ] }, "execution_count": 6, @@ -114,7 +115,7 @@ } ], "source": [ - "jacobian = dp.constraint.Jacobian(x, y)\n", + "jacobian = dp.constraint.Jacobian(x, y)(0,0)\n", "# jacobian_matrix = jacobian(0, 1)\n", "jacobian" ] @@ -129,26 +130,6 @@ "We need to investigate whether we need this." ] }, - { - "cell_type": "code", - "execution_count": 7, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "tensor([4.])" - ] - }, - "execution_count": 7, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "jacobian(0,0)\n" - ] - }, { "attachments": {}, "cell_type": "markdown", @@ -161,7 +142,7 @@ }, { "cell_type": "code", - "execution_count": 8, + "execution_count": 7, "metadata": {}, "outputs": [], "source": [ @@ -177,7 +158,7 @@ }, { "cell_type": "code", - "execution_count": 9, + "execution_count": 8, "metadata": {}, "outputs": [ { @@ -186,7 +167,7 @@ "(tensor([1., 2.], requires_grad=True), torch.Size([2]))" ] }, - "execution_count": 9, + "execution_count": 8, "metadata": {}, "output_type": "execute_result" } @@ -199,16 +180,16 @@ }, { "cell_type": "code", - "execution_count": 10, + "execution_count": 9, "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "tensor([-0.7828], grad_fn=)" + "tensor([1.7470], grad_fn=)" ] }, - "execution_count": 10, + "execution_count": 9, "metadata": {}, "output_type": "execute_result" } @@ -224,14 +205,14 @@ }, { "cell_type": "code", - "execution_count": 11, + "execution_count": 10, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "Gradient (dy/dx): tensor([ 0.1618, -0.5502])\n" + "Gradient (dy/dx): tensor([0.6625, 0.2891])\n" ] } ], @@ -244,41 +225,23 @@ }, { "cell_type": "code", - "execution_count": 12, - "metadata": {}, - "outputs": [], - "source": [ - "jacobian = dp.constraint.Jacobian(X, y)" - ] - }, - { - "cell_type": "code", - "execution_count": 13, - "metadata": {}, - "outputs": [], - "source": [ - "# Compute the Jacobian matrix\n", - "jacobian_matrix = jacobian(0, 0) # Compute dy_0/dX_1" - ] - }, - { - "cell_type": "code", - "execution_count": 14, + "execution_count": 11, "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "tensor([ 0.1618, -0.5502])" + "tensor([0.6625, 0.2891])" ] }, - "execution_count": 14, + "execution_count": 11, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "jacobian_matrix" + "jacobian = dp.constraint.Jacobian(X, y)(0,0)\n", + "jacobian" ] }, { @@ -293,7 +256,7 @@ }, { "cell_type": "code", - "execution_count": 15, + "execution_count": 12, "metadata": {}, "outputs": [], "source": [ @@ -304,17 +267,17 @@ }, { "cell_type": "code", - "execution_count": 16, + "execution_count": 13, "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "(tensor([-0.7828], grad_fn=),\n", - " tensor([-0.7828], grad_fn=))" + "(tensor([1.7470], grad_fn=),\n", + " tensor([1.7470], grad_fn=))" ] }, - "execution_count": 16, + "execution_count": 13, "metadata": {}, "output_type": "execute_result" } @@ -334,7 +297,7 @@ }, { "cell_type": "code", - "execution_count": 17, + "execution_count": 14, "metadata": {}, "outputs": [ { @@ -355,7 +318,7 @@ }, { "cell_type": "code", - "execution_count": 18, + "execution_count": 15, "metadata": {}, "outputs": [], "source": [ @@ -366,7 +329,7 @@ }, { "cell_type": "code", - "execution_count": 19, + "execution_count": 16, "metadata": {}, "outputs": [ { @@ -387,7 +350,7 @@ }, { "cell_type": "code", - "execution_count": 20, + "execution_count": 17, "metadata": {}, "outputs": [ { @@ -408,7 +371,7 @@ }, { "cell_type": "code", - "execution_count": 21, + "execution_count": 18, "metadata": {}, "outputs": [], "source": [ @@ -426,7 +389,7 @@ }, { "cell_type": "code", - "execution_count": 22, + "execution_count": 19, "metadata": {}, "outputs": [ { @@ -438,7 +401,7 @@ " [-0.6536]], grad_fn=))" ] }, - "execution_count": 22, + "execution_count": 19, "metadata": {}, "output_type": "execute_result" } @@ -458,7 +421,7 @@ }, { "cell_type": "code", - "execution_count": 23, + "execution_count": 20, "metadata": {}, "outputs": [], "source": [ @@ -469,12 +432,12 @@ }, { "cell_type": "code", - "execution_count": 24, + "execution_count": 21, "metadata": {}, "outputs": [ { "data": { - "image/png": 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", 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", 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" ] @@ -490,7 +453,7 @@ }, { "cell_type": "code", - "execution_count": 25, + "execution_count": 22, "metadata": {}, "outputs": [], "source": [ @@ -502,7 +465,7 @@ }, { "cell_type": "code", - "execution_count": 26, + "execution_count": 23, "metadata": {}, "outputs": [ { @@ -511,7 +474,7 @@ "torch.Size([100, 2])" ] }, - "execution_count": 26, + "execution_count": 23, "metadata": {}, "output_type": "execute_result" } @@ -523,7 +486,7 @@ }, { "cell_type": "code", - "execution_count": 27, + "execution_count": 24, "metadata": {}, "outputs": [ { @@ -532,7 +495,7 @@ "torch.Size([100, 1])" ] }, - "execution_count": 27, + "execution_count": 24, "metadata": {}, "output_type": "execute_result" } @@ -544,7 +507,7 @@ }, { "cell_type": "code", - "execution_count": 28, + "execution_count": 25, "metadata": {}, "outputs": [], "source": [ @@ -553,22 +516,22 @@ }, { "cell_type": "code", - "execution_count": 29, + "execution_count": 26, "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "" + "" ] }, - "execution_count": 29, + "execution_count": 26, "metadata": {}, "output_type": "execute_result" }, { "data": { - "image/png": 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", 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[1.0299],\n", + " [1.7069],\n", + " [0.6405],\n", + " [1.3619],\n", + " [1.5273],\n", + " [0.2458],\n", + " [1.6788],\n", + " [0.7813],\n", + " [0.0316],\n", + " [0.5416],\n", + " [1.3093],\n", + " [0.8038],\n", + " [1.9349],\n", + " [0.6886],\n", + " [0.6018],\n", + " [1.0714],\n", + " [1.7922],\n", + " [1.7829],\n", + " [0.1703],\n", + " [1.0399],\n", + " [0.4533],\n", + " [0.2548],\n", + " [1.4866],\n", + " [0.0812],\n", + " [0.6589],\n", + " [1.6869],\n", + " [0.6608],\n", + " [0.6812],\n", + " [0.9057],\n", + " [1.6985],\n", + " [1.6166],\n", + " [1.2551],\n", + " [1.3294],\n", + " [0.4913],\n", + " [0.0065],\n", + " [0.9934]], grad_fn=)" ] }, - "execution_count": 33, + "execution_count": 30, "metadata": {}, "output_type": "execute_result" } @@ -858,7 +821,7 @@ }, { "cell_type": "code", - "execution_count": 34, + "execution_count": 31, "metadata": {}, "outputs": [ { @@ -966,7 +929,7 @@ " [0.]], grad_fn=)" ] }, - "execution_count": 34, + "execution_count": 31, "metadata": {}, "output_type": "execute_result" } diff --git a/Tutorials/4. dataset/1. basic.ipynb b/Tutorials/4. dataset/1. basic.ipynb new file mode 100644 index 0000000..ced0310 --- /dev/null +++ b/Tutorials/4. dataset/1. basic.ipynb @@ -0,0 +1,163 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Using default backend: PyTorch\n", + "Using Pytorch: 2.0.1+cu117\n" + ] + } + ], + "source": [ + "# This is only valid when the package is not installed\n", + "import sys\n", + "sys.path.append('../../') # two folders up\n", + "import DeepINN as dp" + ] + }, + { + "attachments": {}, + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Geometry" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [], + "source": [ + "# A simple 1D geometry\n", + "X = dp.spaces.R1('x')\n", + "Line = dp.domains.Interval(X, 0, 1)" + ] + }, + { + "cell_type": "code", + "execution_count": 39, + "metadata": {}, + "outputs": [], + "source": [ + "left_bc = dp.constraint.DirichletBC(geom = Line,\n", + " function = lambda X: 0,\n", + " sampling_strategy = \"grid\",\n", + " no_points = 1, # you can use more points. there are conditions to deal with stupid conditions. \n", + " filter_fn = lambda x: x[:] == 0.0)\n", + "right_bc = dp.constraint.DirichletBC(geom = Line,\n", + " function = lambda X: 1,\n", + " sampling_strategy = \"grid\",\n", + " no_points = 1, # you can use more points. there are conditions to deal with stupid conditions. \n", + " filter_fn = lambda x: x[:] == 1.0)\n", + "interior_points = dp.constraint.PDE(geom = Line,\n", + " sampling_strategy= \"grid\",\n", + " no_points = 20)" + ] + }, + { + "cell_type": "code", + "execution_count": 41, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "dp.utils.scatter(X, interior_points.sampler_object(), dpi = 50)\n", + "dp.utils.scatter(X, left_bc.sampler_object(), dpi = 50)\n", + "dp.utils.scatter(X, right_bc.sampler_object(), dpi = 50)" + ] + }, + { + "attachments": {}, + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### 1D Laplace equation" + ] + }, + { + "cell_type": "code", + "execution_count": 42, + "metadata": {}, + "outputs": [], + "source": [ + "def laplace(X,y):\n", + " \"\"\"\n", + " 1D Laplace equation.\n", + " u__x = 0 \n", + " \"\"\"\n", + " dy_x = dp.constraint.Jacobian(X, y)\n", + " dy_xx = dp.constraint.Jacobian(X, y)(i = 0, j = 0)\n", + "\n", + " return dy_xx\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "laplace()" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": ".venv", + "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": "3.8.10" + }, + "orig_nbformat": 4 + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/todo.md b/todo.md index 0268b57..381422c 100644 --- a/todo.md +++ b/todo.md @@ -10,7 +10,7 @@ Last work : `DeepINN/constraint/gradients.py` - [ ] Do we need retain_graph=True ? ## Constraints -- [X] Implement the prescribed BC part in constraint/ boundary_loss dirichletBC. +- [X] Implement the prescribed BC part in constraint/ boundary_loss dirichletBC. - [X] Implement PDE loss constraint. - [ ] Implement gradients. - [ ] Implement lazy evaluation of gradients. @@ -21,6 +21,7 @@ Last work : `DeepINN/constraint/gradients.py` ## Tutorials - [x] Basic geometry tutorials. - [x] Constraints tutorials. +- [ ] Add template PDE in constraint directory. ## Misc - [ ] Migrate to JupyterBooks. From a8557d79e002760d30d9b9e8ab20aceffdf220a2 Mon Sep 17 00:00:00 2001 From: Prakhar Sharma <1915438@swansea.ac.uk> Date: Fri, 14 Jul 2023 18:45:21 +0100 Subject: [PATCH 2/5] domain example --- Tutorials/4. dataset/1. basic.ipynb | 210 +++++++++++++++++++++++----- 1 file changed, 177 insertions(+), 33 deletions(-) diff --git a/Tutorials/4. dataset/1. basic.ipynb b/Tutorials/4. dataset/1. basic.ipynb index ced0310..b05118d 100644 --- a/Tutorials/4. dataset/1. basic.ipynb +++ b/Tutorials/4. dataset/1. basic.ipynb @@ -2,18 +2,9 @@ "cells": [ { "cell_type": "code", - "execution_count": 1, + "execution_count": 2, "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "Using default backend: PyTorch\n", - "Using Pytorch: 2.0.1+cu117\n" - ] - } - ], + "outputs": [], "source": [ "# This is only valid when the package is not installed\n", "import sys\n", @@ -31,7 +22,7 @@ }, { "cell_type": "code", - "execution_count": 2, + "execution_count": 3, "metadata": {}, "outputs": [], "source": [ @@ -42,7 +33,7 @@ }, { "cell_type": "code", - "execution_count": 39, + "execution_count": 4, "metadata": {}, "outputs": [], "source": [ @@ -63,44 +54,66 @@ }, { "cell_type": "code", - "execution_count": 41, + "execution_count": 5, "metadata": {}, "outputs": [ { - "data": { - "image/png": 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" - ] - }, - "metadata": {}, - "output_type": "display_data" + "name": "stderr", + "output_type": "stream", + "text": [ + "/home/hell/Desktop/repos/DeepINN/Tutorials/4. dataset/../../DeepINN/geometry/samplers/grid_samplers.py:78: UserWarning: First iteration did not find any valid grid points, for\n", + " the given filter.\n", + " Will try again with n = 10 * self.n_points. Or\n", + " else use only random points!\n", + " warnings.warn(\"\"\"First iteration did not find any valid grid points, for\n" + ] }, { "data": { - "image/png": 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Ejw5eUsGE53manJyUz+fT3bt3Uz0HKcIzHJh4++239fjjj2vFihX66KOP4n8rgkcLwQFghpdUAMwQHABmCA4AMwQHgBmCA8DM/wNp9K4+DMS30QAAAABJRU5ErkJggg==", "text/plain": [ - "
" + "(torch.Size([20, 1]), torch.Size([1, 1]), torch.Size([1, 1]))" ] }, + "execution_count": 5, "metadata": {}, - "output_type": "display_data" - }, + "output_type": "execute_result" + } + ], + "source": [ + "# debugging\n", + "interior_points.sampler_object().sample_points().as_tensor.size(), left_bc.sampler_object().sample_points().as_tensor.size(), right_bc.sampler_object().sample_points().as_tensor.size()\n" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": {}, + "outputs": [ { "data": { - "image/png": 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TXV2tgYEBnThxYsLvFWH64CkVTHiep+HhYaWmpurOnTt+z4FPeIQDE++8844effRRzZ8/XydPnoz9ngimF4IDwAxPqQCYITgAzBAcAGYIDgAzBAeAmf8Dt5efDKXoO7MAAAAASUVORK5CYII=", "text/plain": [ - "
" + "torch.Size([20, 1])" ] }, + "execution_count": 6, "metadata": {}, - "output_type": "display_data" + "output_type": "execute_result" } ], "source": [ - "dp.utils.scatter(X, interior_points.sampler_object(), dpi = 50)\n", - "dp.utils.scatter(X, left_bc.sampler_object(), dpi = 50)\n", - "dp.utils.scatter(X, right_bc.sampler_object(), dpi = 50)" + "# debugging\n", + "interior_points.sample_labels(interior_points.sampler_object().sample_points().as_tensor).unsqueeze(1).size()" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": {}, + "outputs": [], + "source": [ + "# dp.utils.scatter(X, interior_points.sampler_object(), dpi = 50)\n", + "# dp.utils.scatter(X, left_bc.sampler_object(), dpi = 50)\n", + "# dp.utils.scatter(X, right_bc.sampler_object(), dpi = 50)" ] }, { @@ -113,7 +126,7 @@ }, { "cell_type": "code", - "execution_count": 42, + "execution_count": 8, "metadata": {}, "outputs": [], "source": [ @@ -128,6 +141,137 @@ " return dy_xx\n" ] }, + { + "attachments": {}, + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Dataset" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": {}, + "outputs": [], + "source": [ + "dataset = dp.domain.Generic(laplace,\n", + " interior_points,\n", + " [left_bc, right_bc])" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "torch.Size([20, 1])" + ] + }, + "execution_count": 10, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# Don't use this function. collocation_point_labels() returns both inputs and labels\n", + "collocation_point_sample = dataset.sample_collocation_points()\n", + "collocation_point_sample.size()" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "(torch.Size([20, 1]), torch.Size([20, 1]))" + ] + }, + "execution_count": 11, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "collocation_point_sample, collocation_point_labels = dataset.sample_collocation_labels()\n", + "collocation_point_sample.size(), collocation_point_labels.size()" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "[tensor([[0.]]), tensor([[1.]])]" + ] + }, + "execution_count": 12, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# Don't use this sample_boundary_labels() returns both inputs and labels\n", + "dataset.sample_boundary_points()" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "(2, 2)" + ] + }, + "execution_count": 13, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "boundary_point_sample, boundary_point_labels = dataset.sample_boundary_labels()\n", + "len(boundary_point_sample), len(boundary_point_labels)" + ] + }, + { + "cell_type": "code", + "execution_count": 18, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "[0, 1]" + ] + }, + "execution_count": 18, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "boundary_point_labels" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, { "cell_type": "code", "execution_count": null, From 5d240b3c76f1109ba64684a857d57386a5f82f0b Mon Sep 17 00:00:00 2001 From: praksharma <1915438@swansea.ac.uk> Date: Sun, 16 Jul 2023 01:25:57 +0100 Subject: [PATCH 3/5] basic domain implemented --- DeepINN/domain/standard.py | 3 +- Tutorials/2. BC/1. dirichlet.ipynb | 16 ++-- Tutorials/4. dataset/1. basic.ipynb | 117 +++++++++++++++++++++------- test.py | 17 +++- 4 files changed, 117 insertions(+), 36 deletions(-) diff --git a/DeepINN/domain/standard.py b/DeepINN/domain/standard.py index e2f4e71..0859cee 100644 --- a/DeepINN/domain/standard.py +++ b/DeepINN/domain/standard.py @@ -1,4 +1,5 @@ from .base import Dataset +import torch class Generic(Dataset): """ @@ -46,5 +47,5 @@ def sample_boundary_labels(self): self.bc_labels_list = [] self.bc_points = self.sample_boundary_points() # returns a list of boundary points on each boundary as tensor for bc_number in range(0, self.bc_list_len): - self.bc_labels_list.append(self.bc_sampler[bc_number].sample_labels(self.bc_points[bc_number]))#.unsqueeze(1)) + self.bc_labels_list.append(self.bc_sampler[bc_number].sample_labels(self.bc_points[bc_number]).unsqueeze(1)) return self.bc_points, self.bc_labels_list diff --git a/Tutorials/2. BC/1. dirichlet.ipynb b/Tutorials/2. BC/1. dirichlet.ipynb index 27c364d..6a6199b 100644 --- a/Tutorials/2. BC/1. dirichlet.ipynb +++ b/Tutorials/2. BC/1. dirichlet.ipynb @@ -47,7 +47,7 @@ "outputs": [ { "data": { - "image/png": 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", + "image/png": 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", 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" ] @@ -89,7 +89,7 @@ "outputs": [ { "data": { - "image/png": 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", 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", 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", 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", 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", + "image/png": 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", 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", + "image/png": 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", "text/plain": [ "
" ] @@ -328,7 +328,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.8.10" + "version": "3.10.6" }, "orig_nbformat": 4 }, diff --git a/Tutorials/4. dataset/1. basic.ipynb b/Tutorials/4. dataset/1. basic.ipynb index b05118d..39a56fe 100644 --- a/Tutorials/4. dataset/1. basic.ipynb +++ b/Tutorials/4. dataset/1. basic.ipynb @@ -2,9 +2,18 @@ "cells": [ { "cell_type": "code", - "execution_count": 2, + "execution_count": 1, "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Using default backend: PyTorch\n", + "Using Pytorch: 2.0.1+cu117\n" + ] + } + ], "source": [ "# This is only valid when the package is not installed\n", "import sys\n", @@ -22,7 +31,7 @@ }, { "cell_type": "code", - "execution_count": 3, + "execution_count": 2, "metadata": {}, "outputs": [], "source": [ @@ -31,6 +40,15 @@ "Line = dp.domains.Interval(X, 0, 1)" ] }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [], + "source": [ + "import torch" + ] + }, { "cell_type": "code", "execution_count": 4, @@ -38,12 +56,12 @@ "outputs": [], "source": [ "left_bc = dp.constraint.DirichletBC(geom = Line,\n", - " function = lambda X: 0,\n", + " function = lambda X: torch.tensor([0.0]),\n", " sampling_strategy = \"grid\",\n", " no_points = 1, # you can use more points. there are conditions to deal with stupid conditions. \n", " filter_fn = lambda x: x[:] == 0.0)\n", "right_bc = dp.constraint.DirichletBC(geom = Line,\n", - " function = lambda X: 1,\n", + " function = lambda X: torch.tensor([1.0]),\n", " sampling_strategy = \"grid\",\n", " no_points = 1, # you can use more points. there are conditions to deal with stupid conditions. \n", " filter_fn = lambda x: x[:] == 1.0)\n", @@ -61,7 +79,7 @@ "name": "stderr", "output_type": "stream", "text": [ - "/home/hell/Desktop/repos/DeepINN/Tutorials/4. dataset/../../DeepINN/geometry/samplers/grid_samplers.py:78: UserWarning: First iteration did not find any valid grid points, for\n", + "/home/hell/Desktop/DeepINN/Tutorials/4. dataset/../../DeepINN/geometry/samplers/grid_samplers.py:78: UserWarning: First iteration did not find any valid grid points, for\n", " the given filter.\n", " Will try again with n = 10 * self.n_points. Or\n", " else use only random points!\n", @@ -101,7 +119,7 @@ } ], "source": [ - "# debugging\n", + "# debugging \n", "interior_points.sample_labels(interior_points.sampler_object().sample_points().as_tensor).unsqueeze(1).size()" ] }, @@ -109,6 +127,27 @@ "cell_type": "code", "execution_count": 7, "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "torch.Size([1, 1])" + ] + }, + "execution_count": 7, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "temp = left_bc.sampler_object().sample_points().as_tensor.size()\n", + "temp" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": {}, "outputs": [], "source": [ "# dp.utils.scatter(X, interior_points.sampler_object(), dpi = 50)\n", @@ -126,7 +165,7 @@ }, { "cell_type": "code", - "execution_count": 8, + "execution_count": 9, "metadata": {}, "outputs": [], "source": [ @@ -151,7 +190,7 @@ }, { "cell_type": "code", - "execution_count": 9, + "execution_count": 10, "metadata": {}, "outputs": [], "source": [ @@ -162,7 +201,7 @@ }, { "cell_type": "code", - "execution_count": 10, + "execution_count": 11, "metadata": {}, "outputs": [ { @@ -171,7 +210,7 @@ "torch.Size([20, 1])" ] }, - "execution_count": 10, + "execution_count": 11, "metadata": {}, "output_type": "execute_result" } @@ -184,7 +223,7 @@ }, { "cell_type": "code", - "execution_count": 11, + "execution_count": 12, "metadata": {}, "outputs": [ { @@ -193,7 +232,7 @@ "(torch.Size([20, 1]), torch.Size([20, 1]))" ] }, - "execution_count": 11, + "execution_count": 12, "metadata": {}, "output_type": "execute_result" } @@ -205,7 +244,7 @@ }, { "cell_type": "code", - "execution_count": 12, + "execution_count": 13, "metadata": {}, "outputs": [ { @@ -214,19 +253,20 @@ "[tensor([[0.]]), tensor([[1.]])]" ] }, - "execution_count": 12, + "execution_count": 13, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# Don't use this sample_boundary_labels() returns both inputs and labels\n", - "dataset.sample_boundary_points()" + "boundary_point_sample = dataset.sample_boundary_points()\n", + "boundary_point_sample" ] }, { "cell_type": "code", - "execution_count": 13, + "execution_count": 14, "metadata": {}, "outputs": [ { @@ -235,7 +275,7 @@ "(2, 2)" ] }, - "execution_count": 13, + "execution_count": 14, "metadata": {}, "output_type": "execute_result" } @@ -247,16 +287,16 @@ }, { "cell_type": "code", - "execution_count": 18, + "execution_count": 20, "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "[0, 1]" + "[tensor([[0.]]), tensor([[1.]])]" ] }, - "execution_count": 18, + "execution_count": 20, "metadata": {}, "output_type": "execute_result" } @@ -267,16 +307,41 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 21, "metadata": {}, - "outputs": [], - "source": [] + "outputs": [ + { + "data": { + "text/plain": [ + "torch.Size([1, 1])" + ] + }, + "execution_count": 21, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "boundary_point_labels[0].size()" + ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, - "outputs": [], + "outputs": [ + { + "ename": "TypeError", + "evalue": "laplace() missing 2 required positional arguments: 'X' and 'y'", + "output_type": "error", + "traceback": [ + "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[0;31mTypeError\u001b[0m Traceback (most recent call last)", + "Cell \u001b[0;32mIn[14], line 1\u001b[0m\n\u001b[0;32m----> 1\u001b[0m laplace()\n", + "\u001b[0;31mTypeError\u001b[0m: laplace() missing 2 required positional arguments: 'X' and 'y'" + ] + } + ], "source": [ "laplace()" ] @@ -298,7 +363,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.8.10" + "version": "3.10.6" }, "orig_nbformat": 4 }, diff --git a/test.py b/test.py index abdffa1..f6cc9f2 100644 --- a/test.py +++ b/test.py @@ -1 +1,16 @@ -import DeepINN as dp \ No newline at end of file +import DeepINN as dp + +# Let us make a simple rectangle +X = dp.spaces.R2('x') # 2D space stencil +R = dp.domains.Parallelogram(X, [0,0], [1,0], [0,1]) + +bc_points = dp.constraint.DirichletBC(geom = R, + function = lambda X: X[:,0]**2, + sampling_strategy = "random", + no_points = 100 ) + +bc_points_sampled = bc_points.sampler_object().sample_points().as_tensor +print(f"bc _points shape : {bc_points_sampled.size()}") + +bc_points_sampled_labels = bc_points.sample_labels(bc_points_sampled).unsqueeze(1) +print (f"bc labels shape : {bc_points_sampled_labels.size()}") \ No newline at end of file From ce24652e14aa3493a30cac104dd0b0b16a910e9e Mon Sep 17 00:00:00 2001 From: praksharma <1915438@swansea.ac.uk> Date: Sun, 16 Jul 2023 01:29:16 +0100 Subject: [PATCH 4/5] small corrections --- DeepINN/domain/standard.py | 1 - Tutorials/{4. dataset => 4. Dataset}/1. basic.ipynb | 0 2 files changed, 1 deletion(-) rename Tutorials/{4. dataset => 4. Dataset}/1. basic.ipynb (100%) diff --git a/DeepINN/domain/standard.py b/DeepINN/domain/standard.py index 0859cee..2c7e78b 100644 --- a/DeepINN/domain/standard.py +++ b/DeepINN/domain/standard.py @@ -1,5 +1,4 @@ from .base import Dataset -import torch class Generic(Dataset): """ diff --git a/Tutorials/4. dataset/1. basic.ipynb b/Tutorials/4. Dataset/1. basic.ipynb similarity index 100% rename from Tutorials/4. dataset/1. basic.ipynb rename to Tutorials/4. Dataset/1. basic.ipynb From 76eea116d442de52d107e9cba3606ac67acd665d Mon Sep 17 00:00:00 2001 From: praksharma <1915438@swansea.ac.uk> Date: Sun, 16 Jul 2023 01:36:21 +0100 Subject: [PATCH 5/5] domains basic tutorial completed --- Tutorials/4. Dataset/1. basic.ipynb | 86 ++++++++++++++++------------- 1 file changed, 49 insertions(+), 37 deletions(-) diff --git a/Tutorials/4. Dataset/1. basic.ipynb b/Tutorials/4. Dataset/1. basic.ipynb index 39a56fe..495cba6 100644 --- a/Tutorials/4. Dataset/1. basic.ipynb +++ b/Tutorials/4. Dataset/1. basic.ipynb @@ -2,7 +2,7 @@ "cells": [ { "cell_type": "code", - "execution_count": 1, + "execution_count": 2, "metadata": {}, "outputs": [ { @@ -31,7 +31,7 @@ }, { "cell_type": "code", - "execution_count": 2, + "execution_count": 3, "metadata": {}, "outputs": [], "source": [ @@ -42,7 +42,7 @@ }, { "cell_type": "code", - "execution_count": 3, + "execution_count": 4, "metadata": {}, "outputs": [], "source": [ @@ -51,7 +51,7 @@ }, { "cell_type": "code", - "execution_count": 4, + "execution_count": 5, "metadata": {}, "outputs": [], "source": [ @@ -72,14 +72,14 @@ }, { "cell_type": "code", - "execution_count": 5, + "execution_count": 6, "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ - "/home/hell/Desktop/DeepINN/Tutorials/4. dataset/../../DeepINN/geometry/samplers/grid_samplers.py:78: UserWarning: First iteration did not find any valid grid points, for\n", + "/home/hell/Desktop/DeepINN/Tutorials/4. Dataset/../../DeepINN/geometry/samplers/grid_samplers.py:78: UserWarning: First iteration did not find any valid grid points, for\n", " the given filter.\n", " Will try again with n = 10 * self.n_points. Or\n", " else use only random points!\n", @@ -92,7 +92,7 @@ "(torch.Size([20, 1]), torch.Size([1, 1]), torch.Size([1, 1]))" ] }, - "execution_count": 5, + "execution_count": 6, "metadata": {}, "output_type": "execute_result" } @@ -104,7 +104,7 @@ }, { "cell_type": "code", - "execution_count": 6, + "execution_count": 7, "metadata": {}, "outputs": [ { @@ -113,7 +113,7 @@ "torch.Size([20, 1])" ] }, - "execution_count": 6, + "execution_count": 7, "metadata": {}, "output_type": "execute_result" } @@ -125,7 +125,7 @@ }, { "cell_type": "code", - "execution_count": 7, + "execution_count": 8, "metadata": {}, "outputs": [ { @@ -134,7 +134,7 @@ "torch.Size([1, 1])" ] }, - "execution_count": 7, + "execution_count": 8, "metadata": {}, "output_type": "execute_result" } @@ -146,7 +146,7 @@ }, { "cell_type": "code", - "execution_count": 8, + "execution_count": 9, "metadata": {}, "outputs": [], "source": [ @@ -165,7 +165,7 @@ }, { "cell_type": "code", - "execution_count": 9, + "execution_count": 10, "metadata": {}, "outputs": [], "source": [ @@ -190,7 +190,7 @@ }, { "cell_type": "code", - "execution_count": 10, + "execution_count": 11, "metadata": {}, "outputs": [], "source": [ @@ -201,7 +201,7 @@ }, { "cell_type": "code", - "execution_count": 11, + "execution_count": 12, "metadata": {}, "outputs": [ { @@ -210,7 +210,7 @@ "torch.Size([20, 1])" ] }, - "execution_count": 11, + "execution_count": 12, "metadata": {}, "output_type": "execute_result" } @@ -223,7 +223,7 @@ }, { "cell_type": "code", - "execution_count": 12, + "execution_count": 13, "metadata": {}, "outputs": [ { @@ -232,7 +232,7 @@ "(torch.Size([20, 1]), torch.Size([20, 1]))" ] }, - "execution_count": 12, + "execution_count": 13, "metadata": {}, "output_type": "execute_result" } @@ -244,7 +244,7 @@ }, { "cell_type": "code", - "execution_count": 13, + "execution_count": 14, "metadata": {}, "outputs": [ { @@ -253,7 +253,7 @@ "[tensor([[0.]]), tensor([[1.]])]" ] }, - "execution_count": 13, + "execution_count": 14, "metadata": {}, "output_type": "execute_result" } @@ -266,7 +266,7 @@ }, { "cell_type": "code", - "execution_count": 14, + "execution_count": 15, "metadata": {}, "outputs": [ { @@ -275,7 +275,7 @@ "(2, 2)" ] }, - "execution_count": 14, + "execution_count": 15, "metadata": {}, "output_type": "execute_result" } @@ -287,7 +287,7 @@ }, { "cell_type": "code", - "execution_count": 20, + "execution_count": 16, "metadata": {}, "outputs": [ { @@ -296,7 +296,7 @@ "[tensor([[0.]]), tensor([[1.]])]" ] }, - "execution_count": 20, + "execution_count": 16, "metadata": {}, "output_type": "execute_result" } @@ -307,7 +307,7 @@ }, { "cell_type": "code", - "execution_count": 21, + "execution_count": 17, "metadata": {}, "outputs": [ { @@ -316,7 +316,7 @@ "torch.Size([1, 1])" ] }, - "execution_count": 21, + "execution_count": 17, "metadata": {}, "output_type": "execute_result" } @@ -327,23 +327,35 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 22, + "metadata": {}, + "outputs": [], + "source": [ + "boundary_point_sample[0].requires_grad = True\n", + "\n", + "# y is the output neuron of a hypothetical neural network\n", + "# the output and the input should be connected to the graph to enable chain rule.\n", + "y = boundary_point_sample[0] + boundary_point_labels[0]" + ] + }, + { + "cell_type": "code", + "execution_count": 23, "metadata": {}, "outputs": [ { - "ename": "TypeError", - "evalue": "laplace() missing 2 required positional arguments: 'X' and 'y'", - "output_type": "error", - "traceback": [ - "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", - "\u001b[0;31mTypeError\u001b[0m Traceback (most recent call last)", - "Cell \u001b[0;32mIn[14], line 1\u001b[0m\n\u001b[0;32m----> 1\u001b[0m laplace()\n", - "\u001b[0;31mTypeError\u001b[0m: laplace() missing 2 required positional arguments: 'X' and 'y'" - ] + "data": { + "text/plain": [ + "tensor([[1.]])" + ] + }, + "execution_count": 23, + "metadata": {}, + "output_type": "execute_result" } ], "source": [ - "laplace()" + "laplace(boundary_point_sample[0],y)" ] } ],