From 26c2e8969f817bf2d8e64cf7f75589bcb2870224 Mon Sep 17 00:00:00 2001 From: Carlo Date: Wed, 9 Sep 2026 23:26:29 +0200 Subject: [PATCH 1/2] notebooks for fig1 and readme --- README.md | 28 + .../DTGS181_fig1a_scheme.ipynb | 451 +++++++++++ .../DTGS182_fig1b_SMLM.ipynb | 221 +++++ .../DTGS183_fig1c_bacteria.ipynb | 590 ++++++++++++++ .../DTGS184_fig1d_nuclei.ipynb | 349 ++++++++ .../DTGS185_fig1e_GUVs.ipynb | 460 +++++++++++ .../DTGS186_fig1f_synapses.ipynb | 456 +++++++++++ .../1-getting-started/DTGS187_fig1g_TEM.ipynb | 763 ++++++++++++++++++ 8 files changed, 3318 insertions(+) create mode 100644 tutorials/1-getting-started/DTGS181_fig1a_scheme.ipynb create mode 100644 tutorials/1-getting-started/DTGS182_fig1b_SMLM.ipynb create mode 100644 tutorials/1-getting-started/DTGS183_fig1c_bacteria.ipynb create mode 100644 tutorials/1-getting-started/DTGS184_fig1d_nuclei.ipynb create mode 100644 tutorials/1-getting-started/DTGS185_fig1e_GUVs.ipynb create mode 100644 tutorials/1-getting-started/DTGS186_fig1f_synapses.ipynb create mode 100644 tutorials/1-getting-started/DTGS187_fig1g_TEM.ipynb diff --git a/README.md b/README.md index 0b6fa0f4..8f260cb5 100644 --- a/README.md +++ b/README.md @@ -105,6 +105,34 @@ Here you find a series of notebooks providing an overview of the core features o Creating custom scatterers in the shape of bacteria. +- DTGS181 **[DeepTrack2 Pipeline Panels](https://github.com/DeepTrackAI/DeepTrack2/blob/develop/tutorials/1-getting-started/DTGS181_fig1a_scheme.ipynb)** + + Visualizing every stage of a DeepTrack2 imaging pipeline, from scatterer to annotation. + +- DTGS182 **[Simulating SMLM Data](https://github.com/DeepTrackAI/DeepTrack2/blob/develop/tutorials/1-getting-started/DTGS182_fig1b_SMLM.ipynb)** + + Simulating a single-molecule localization microscopy (SMLM) image with overlapping emitters. + +- DTGS183 **[Simulating a Bacterial Sample](https://github.com/DeepTrackAI/DeepTrack2/blob/develop/tutorials/1-getting-started/DTGS183_fig1c_bacteria.ipynb)** + + Simulating a brightfield image of a mixed population of bacilli and dividing bacterial chains. + +- DTGS184 **[Simulating Cell Nuclei](https://github.com/DeepTrackAI/DeepTrack2/blob/develop/tutorials/1-getting-started/DTGS184_fig1d_nuclei.ipynb)** + + Simulating a fluorescence image of cell nuclei with an instance-level ground-truth mask. + +- DTGS185 **[Simulating GUVs](https://github.com/DeepTrackAI/DeepTrack2/blob/develop/tutorials/1-getting-started/DTGS185_fig1e_GUVs.ipynb)** + + Simulating dual-color images of phase-separated giant unilamellar vesicles (GUVs). + +- DTGS186 **[Simulating Synapses](https://github.com/DeepTrackAI/DeepTrack2/blob/develop/tutorials/1-getting-started/DTGS186_fig1f_synapses.ipynb)** + + Simulating a two-channel colocalization image of synaptic puncta. + +- DTGS187 **[Simulating TEM Images](https://github.com/DeepTrackAI/DeepTrack2/blob/develop/tutorials/1-getting-started/DTGS187_fig1g_TEM.ipynb)** + + Simulating a transmission electron microscopy (TEM) image of a cell membrane and mitochondria. + # Examples These are examples of how DeepTrack2 can be used on real datasets: diff --git a/tutorials/1-getting-started/DTGS181_fig1a_scheme.ipynb b/tutorials/1-getting-started/DTGS181_fig1a_scheme.ipynb new file mode 100644 index 00000000..2f7d0cd1 --- /dev/null +++ b/tutorials/1-getting-started/DTGS181_fig1a_scheme.ipynb @@ -0,0 +1,451 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "id": "6ef50ac1", + "metadata": {}, + "source": [ + "# DTGS181. Figure 1a: DeepTrack2 Pipeline Panels (Scheme)\n", + "\n", + "This notebook generates one representative image per stage of a DeepTrack2 simulation pipeline -- **scatterer, dynamics, image formation, aberrations, acquisition, and annotation** -- reproducing the panels shown in Figure 1a of the paper.\n", + "\n", + "Five elliptical scatterers are placed at fixed random positions and orientations up front, and the same random seed is restored before every `.resolve()` call. This guarantees that the same particle configuration is reused across every panel, so that the annotation panel lines up exactly with the simulated images -- matching the paper's claim that ground-truth annotations are known before image formation.\n", + "\n", + "**Note on coordinates:** `dt.Ellipsoid(position=...)` uses `(row, col)` order (matching `imshow`'s array convention), not `(x, y)`.\n" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "id": "885751cc", + "metadata": {}, + "outputs": [], + "source": [ + "# !pip install deeptrack # Uncomment if running on Colab/Kaggle.\n" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "id": "5ce63a19", + "metadata": {}, + "outputs": [], + "source": [ + "import os\n", + "import random\n", + "import warnings\n", + "\n", + "import numpy as np\n", + "import matplotlib.pyplot as plt\n", + "from skimage.color import label2rgb\n", + "import skimage.morphology as skmorph\n", + "\n", + "import deeptrack as dt\n", + "from deeptrack import units as u\n", + "from deeptrack.backend.units import create_context\n", + "\n", + "warnings.filterwarnings(\"ignore\")\n", + "\n", + "\n", + "def seed_everything(seed: int = 123) -> None:\n", + " random.seed(seed)\n", + " np.random.seed(seed)\n", + "\n", + "\n", + "SEED = 5\n", + "seed_everything(SEED)\n", + "\n", + "TILE_SIZE = 32\n", + "N_PARTICLES = 5\n", + "RESOLUTION = 1.0e-6 # meters/px\n", + "VOXEL_SIZE = (1e-6, 1e-6, 1e-6) # meters\n", + "\n", + "OUTPUT_DIR = \"panels\"\n", + "os.makedirs(OUTPUT_DIR, exist_ok=True)\n" + ] + }, + { + "cell_type": "markdown", + "id": "12398437", + "metadata": {}, + "source": [ + "## 1. Scatterer\n", + "\n", + "The sample is a small population of elliptical scatterers, defined with `dt.Ellipsoid`. The 3D rendering below is a plain matplotlib visualization (not a DeepTrack2 output) of the same positions, radii, and rotations that will drive the simulation in the following sections.\n" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "id": "412dca7e", + "metadata": {}, + "outputs": [], + "source": [ + "scatterer = dt.Ellipsoid(\n", + " position=lambda: np.random.uniform(0, TILE_SIZE, size=2) * dt.units.pixel,\n", + " z=lambda: np.random.uniform(-10.0, 10.0),\n", + " radius=lambda: (0.5e-5, 0.2e-5, 0.2e-5) * dt.units.meter,\n", + " rotation=lambda: np.random.uniform(0, 2 * np.pi, size=2),\n", + " intensity=lambda: np.random.uniform(0.9, 2.0),\n", + " position_units=dt.units.pixel,\n", + ")\n", + "\n", + "scatterers = scatterer ^ N_PARTICLES\n" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "id": "c3d8e77a", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "seed_everything(SEED)\n", + "volumes = scatterers.resolve()\n", + "\n", + "positions = [v.position for v in volumes]\n", + "zs = [v.get_property(\"z\", default=0) for v in volumes]\n", + "rotations = [v.get_property(\"rotation\", default=(0, 0, 0)) for v in volumes]\n", + "radii = [v.get_property(\"radius\", default=(1, 1, 1)) for v in volumes]\n", + "colors = plt.cm.tab10(np.linspace(0, 1, N_PARTICLES))\n", + "\n", + "\n", + "def rotation_matrix(rx, ry, rz):\n", + " \"\"\"3D rotation matrix, applied in the order Rz @ Ry @ Rx.\"\"\"\n", + " Rx = np.array([[1, 0, 0], [0, np.cos(rx), -np.sin(rx)], [0, np.sin(rx), np.cos(rx)]])\n", + " Ry = np.array([[np.cos(ry), 0, np.sin(ry)], [0, 1, 0], [-np.sin(ry), 0, np.cos(ry)]])\n", + " Rz = np.array([[np.cos(rz), -np.sin(rz), 0], [np.sin(rz), np.cos(rz), 0], [0, 0, 1]])\n", + " return Rz @ Ry @ Rx\n", + "\n", + "\n", + "fig = plt.figure(figsize=(6, 5))\n", + "ax = fig.add_subplot(111, projection=\"3d\")\n", + "u_ang = np.linspace(0, 2 * np.pi, 30)\n", + "v_ang = np.linspace(0, np.pi, 30)\n", + "\n", + "all_z_plot = []\n", + "for pos, z, rad, rot, c in zip(positions, zs, radii, rotations, colors):\n", + " rad = np.array(rad)\n", + " # Ellipsoid radii are stored as (row, col, z); swap the first two for plotting\n", + " # in (x, y, z) order.\n", + " a, b, cc = rad[1] / VOXEL_SIZE[0], rad[0] / VOXEL_SIZE[0], rad[2] / VOXEL_SIZE[0]\n", + " x = a * np.outer(np.cos(u_ang), np.sin(v_ang))\n", + " y = b * np.outer(np.sin(u_ang), np.sin(v_ang))\n", + " zc = cc * np.outer(np.ones_like(u_ang), np.cos(v_ang))\n", + " R = rotation_matrix(rot[2], rot[1], rot[0])\n", + " xyz = np.stack([x, y, zc], axis=-1) @ R\n", + " xr, yr, zr = xyz[..., 0], xyz[..., 1], xyz[..., 2]\n", + " ax.plot_surface(xr + pos[0], yr + pos[1], zr + float(z), color=c, alpha=0.95,\n", + " linewidth=0, antialiased=True, shade=True)\n", + " r = np.max(np.array(rad) / VOXEL_SIZE[0])\n", + " all_z_plot += [float(z) - r, float(z) + r]\n", + "\n", + "xlim = (0, TILE_SIZE)\n", + "ylim = (0, TILE_SIZE)\n", + "zlim = (min(all_z_plot), max(all_z_plot) + 3)\n", + "ax.set_xlim(*xlim)\n", + "ax.set_ylim(*ylim)\n", + "ax.set_zlim(*zlim)\n", + "ax.set_box_aspect((xlim[1] - xlim[0], ylim[1] - ylim[0], zlim[1] - zlim[0]))\n", + "ax.set_xticklabels([])\n", + "ax.set_yticklabels([])\n", + "ax.set_zticklabels([])\n", + "ax.set_xlabel(\"y\", fontsize=24)\n", + "ax.set_ylabel(\"x\", fontsize=24)\n", + "ax.set_zlabel(\"z\", fontsize=24)\n", + "ax.view_init(elev=20, azim=10)\n", + "\n", + "plt.savefig(f\"{OUTPUT_DIR}/fig1a_scheme_1_scatterer.png\", bbox_inches=\"tight\", dpi=150, transparent=True)\n", + "plt.tight_layout()\n", + "plt.show()\n" + ] + }, + { + "cell_type": "markdown", + "id": "f1c18805", + "metadata": {}, + "source": [ + "## 2. Dynamics\n", + "\n", + "A representative Brownian trajectory for each particle, generated directly with NumPy for simplicity. In an actual simulation, the same kind of trajectory drives a `dt.Sequential`/`dt.Sequence` pipeline so that each step is rendered as a frame.\n" + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "id": "b377eaaa", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "N_STEPS = 40\n", + "STEP_SIZE = 1.0 # pixels per step\n", + "\n", + "fig = plt.figure(figsize=(6, 5))\n", + "ax = fig.add_subplot(111, projection=\"3d\")\n", + "\n", + "for pos, z0, c in zip(positions, zs, colors):\n", + " trajectory = np.zeros((N_STEPS, 3))\n", + " trajectory[0] = [pos[0], pos[1], z0]\n", + " for t in range(1, N_STEPS):\n", + " trajectory[t] = trajectory[t - 1] + np.random.randn(3) * STEP_SIZE\n", + " ax.plot(trajectory[:, 0], trajectory[:, 1], trajectory[:, 2], color=c, lw=1.5, alpha=0.85)\n", + " ax.scatter(*trajectory[0], color=c, s=60, edgecolor=\"black\", linewidth=0.8, zorder=5)\n", + "\n", + "ax.set_xlim(*xlim)\n", + "ax.set_ylim(*ylim)\n", + "ax.set_zlim(*zlim)\n", + "ax.set_box_aspect((xlim[1] - xlim[0], ylim[1] - ylim[0], zlim[1] - zlim[0]))\n", + "ax.set_xticklabels([])\n", + "ax.set_yticklabels([])\n", + "ax.set_zticklabels([])\n", + "ax.set_xlabel(\"y\", fontsize=24)\n", + "ax.set_ylabel(\"x\", fontsize=24)\n", + "ax.set_zlabel(\"z\", fontsize=24)\n", + "ax.view_init(elev=20, azim=10)\n", + "\n", + "plt.savefig(f\"{OUTPUT_DIR}/fig1a_scheme_2_dynamics.png\", bbox_inches=\"tight\", dpi=150, transparent=True)\n", + "plt.tight_layout()\n", + "plt.show()\n" + ] + }, + { + "cell_type": "markdown", + "id": "f3744fdd", + "metadata": {}, + "source": [ + "## 3. Image Formation, Aberrations, and Acquisition\n", + "\n", + "The same sample is imaged three ways, always re-seeding beforehand so that all three images share the same particle realization:\n", + "\n", + "1. **Image formation** -- clean `dt.Fluorescence`, no pupil aberration, no noise.\n", + "2. **Aberrations** -- same optics, with a `dt.SphericalAberration` pupil.\n", + "3. **Acquisition** -- the aberrated image, with `dt.Poisson` and `dt.Gaussian` detector noise added on top via `>>`.\n", + "\n", + "If you change the optics parameters, check for the sampling warning that DeepTrack2 raises when the Nyquist criterion is violated, and adjust `resolution` or `magnification` accordingly.\n" + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "id": "14c156fe", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": "iVBORw0KGgoAAAANSUhEUgAAAUgAAAFICAYAAAAyFGczAAAAOnRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjExLjEsIGh0dHBzOi8vbWF0cGxvdGxpYi5vcmcvctoD+AAAAAlwSFlzAAAPYQAAD2EBqD+naQAACcpJREFUeJzt3ctu1EcaxmG3wdDGJ4gUDpsACYoiFkC22XEJ3EzuJJeQG8gdZEGULLJAAmGxQDgEkA8YTDC2adw98mo0yrzz/6KuMW7zPMvkUzlq4EdFqurqjUaj0RQAfzP9938EgEAC/A92kACBQAIEAgkQCCRAIJAAgUACBAIJEJycKur1etVRgCOteoHQDhIgEEiAQCABAoEECAQSIBBIgEAgAQKBBAgEEiAQSIBAIAECgQQIBBIgEEiAQCABAoEECAQSIBBIgEAgAQKBBAgEEiAQSIBAIAECgQQIBBIgEEiAQCABAoEECE6mfwFMhl6v13SuYjQaHcm1WrODBAgEEiAQSIBAIAECgQQIBBIgEEiAQCABAoEECNykgSNqerq2f+n3+6W5mZmZZrdthsNhaW5vb69zZjAYNLtx0/pWjh0kQCCQAIFAAgQCCRAIJEAgkACBQAIEAgkQOCgOR/QQ+OLiYmmtW7duleYuXbrU5DD5gXfv3k1VLC8vd868ePGitNbbt2+bHTqvsoMECAQSIBBIgEAgAQKBBAgEEiAQSIBAIAECgQQI3KSBj6DyNMCHDx+a3mpZWFjonFlaWiqt1Ss+zVC5vbO6ulpa6/79+50zKysrUy3ZQQIEAgkQCCRAIJAAgUACBAIJEAgkQCCQAEfpoHj1kGnLr6+v/syW/23D4bA0t7+/3+xncnwOiu/u7pbWevLkSWludna2c+bGjRultT7//PPS3LVr1zpn5ubmSmudOnVq6rDZQQIEAgkQCCRAIJAAgUACBAIJEAgkQCCQAIFAAhzWTZoTJ040mTkwMzPTbK56Cv/kyXYfyfb2drOvzK9+/X7lhgaToXrD6tWrV6W55eXlqVauX79emtvb22t2e61ye+fmzZtTLdlBAgQCCRAIJEAgkACBQAIEAgkQCCRAIJAAgUACBOVrI9UbJmfOnOmcOXv2bGmt6tz8/HznzOnTp5vdRBkMBqW1Xr9+XZpbW1trdluieuOGo696K6r6a765udk5c+/evdJaT58+Lc1dvny5ybs11QZVb+lV2UECBAIJEAgkQCCQAIFAAgQCCRAIJEAgkADjHhSfm5srzV24cKFz5tKlS6W1zp8/X5qrrFd9cmFjY6PZAfDqV8lXnmbY2tpq+jM9zXB8VH8tKxcc3rx50+yZkAMvX76cavUUxPT0dLNnKqrsIAECgQQIBBIgEEiAQCABAoEECAQSIBBIgEAgAca9SVN9smBxcbFzZmlpqbTWuXPnSnNffvllk6cgqjdRKrcD/smthMpNmuFwWFrLDRnGUf19Nig+O1J5DuLt27fN/my2/v1vBwkQCCRAIJAAgUACBAIJEAgkQCCQAIFAAgQCCTDuTZrd3d3SXOW9lur7NmfPni3N7ezsdM70+/1mJ//X1tZKa7148aI0V3lvpvVbGzCOUfHGyqTf7LKDBAgEEiAQSIBAIAECgQQIBBIgEEiAQCABxj0o/u7du9Jc5RB19Wvd5+fnmz1tUD2wWjkQXzkM/0++Sr5yOH3SD9zCJLKDBAgEEiAQSIBAIAECgQQIBBIgEEiAQCABAoEEGPcmTfUr/ys3bjY2NkprPXv2rDT3xRdfdM4sLS2V1lpYWOicmZ2dLa01Pe3vH5hk/gQDBAIJEAgkQCCQAIFAAgQCCRAIJEAgkADjHhSvfuV/5UD5zs5Oaa3qgfKWP7Oy1tzcXGktB8VhstlBAgQCCRAIJEAgkACBQAIEAgkQCCRAIJAAgUACjHuTpuWNm+rzDdvb26W5zc3Nzpl+v9/sZ25tbZXW+vDhQ9NbSsDhsoMECAQSIBBIgEAgAQKBBAgEEiAQSIBAIAECgQQ4rJs0LW+OVN+RWV5ebvYzK7df1tfXS2sNBoPSnJs0/x+t3wQaDodN1+Pos4MECAQSIBBIgEAgAQKBBAgEEiAQSIBAIAEm8aD4+/fvS3MrKyvNnj+oePPmTWmu+rQE/9br9Uofx9LSUufMt99+2/RA/6+//nqov8/4+OwgAQKBBAgEEiAQSIBAIAECgQQIBBIgEEiAQCABgt6oeK2lesPhqH61/qlTp5r9vL29vdLcp/KUQuXzP3HiRLO1Dty5c6dz5vvvv296Y+uHH37onPnxxx9La3m+4eOq/tm0gwQIBBIgEEiAQCABAoEECAQSIBBIgEAgAQKBBDhKb9K0VrmVUL39UuGGzH+anZ3t/Mzm5+dLn+3FixdLc999913nzI0bN0prVW/5PHz4sHPm7t27pbUeP35cmuPjsoMECAQSIBBIgEAgAQKBBAgEEiAQSIBAIAGO80Hxik/lcHdL1QPUn332WefMV199VVqr+jTG5uZm58zq6mpprX6/X5pbWVnpnHn27FlpLSaDHSRAIJAAgUACBAIJEAgkQCCQAIFAAgQCCRAIJEDQGxWvmPR6vcoYE6Ly63n69OnSWt98803nzO3bt5vdyjnw559/ds6cOXOmtNb+/n5p7qeffuqcefLkSWktJuNmnR0kQCCQAIFAAgQCCRAIJEAgkACBQAIEAgnwqT+5wD9XvRxQOZB94cKF0lpXrlxp9jN//vnn0lq//fZbae7ly5elOY4PO0iAQCABAoEECAQSIBBIgEAgAQKBBAgEEiAQSIDATRqi4XBY+nR2d3c7Z3Z2dkpr9fv90tzVq1ebPMtw4MGDB6W5jY2N0hzHhx0kQCCQAIFAAgQCCRAIJEAgkACBQAIEAgkQCCRA4CbNJ2o0GnXO7O/vl9ZaW1vrnHn8+HFpra+//ro0d/78+c6Za9euNbuVc+Dp06fNPjMmgx0kQCCQAIFAAgQCCRAIJEAgkACBQAIEAgkQOCjO2IeeK08RPHr0qLTW9evXmz3NMDMzU1prYWGhNMenxw4SIBBIgEAgAQKBBAgEEiAQSIBAIAECgQQIBBIgcJOGsZ5lODAYDDpn/vjjj9Jav//+e2luerr77/b379+X1vrrr7+afh4cH3aQAIFAAgQCCRAIJEAgkACBQAIEAgkQCCRAIJAAgZs0HMrbNevr66W1fvnll9Lcq1evOmcWFxdLaz1//rzpGz0cH3aQAIFAAgQCCRAIJEAgkACBQAIEAgkQCCRA0BsVv0e+1+tVxmAslacUDszNzXXOLCwslNba3t4uzW1tbZXmOPqqz2fYQQIEAgkQCCRAIJAAgUACBAIJEAgkQCCQAIFAAgRu0jCRWt7sqt6q4PhwkwZgTP4XGyAQSIBAIAECgQQIBBIgEEiAQCABgpPpX8BR5nA3h8EOEiAQSIBAIAECgQQIBBIgEEiAQCABAoEECAQSYNybNG4uAJ8aO0iAQCABAoEECAQSIBBIgEAgAQKBBAgEEiAQSICp/+5fwdU0FurmdWgAAAAASUVORK5CYII=", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "def save_gray(image, name):\n", + " fig, ax = plt.subplots(figsize=(4, 4))\n", + " ax.imshow(np.squeeze(image), cmap=\"gray\")\n", + " ax.axis(\"off\")\n", + " plt.savefig(f\"{OUTPUT_DIR}/{name}.png\", bbox_inches=\"tight\", dpi=150)\n", + " plt.show()\n", + "\n", + "\n", + "optics = dt.Fluorescence(\n", + " NA=1.0,\n", + " wavelength=0.55e-6,\n", + " resolution=RESOLUTION,\n", + " magnification=1,\n", + " output_region=(0, 0, TILE_SIZE, TILE_SIZE),\n", + ")\n", + "\n", + "# 1. Image formation.\n", + "image_formation = optics(scatterers)\n", + "seed_everything(SEED)\n", + "image_clean = image_formation.update().resolve()\n", + "save_gray(image_clean, \"fig1a_scheme_3_image_formation\")\n" + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "id": "f37d480b", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# 2. Aberrations.\n", + "aberration = dt.SphericalAberration(coefficient=1.5)\n", + "optics_aberrated = dt.Fluorescence(\n", + " pupil=aberration,\n", + " NA=1.0,\n", + " wavelength=0.55e-6,\n", + " resolution=RESOLUTION,\n", + " magnification=1,\n", + " output_region=(0, 0, TILE_SIZE, TILE_SIZE),\n", + ")\n", + "pipeline_aberrated = optics_aberrated(scatterers)\n", + "seed_everything(SEED)\n", + "image_aberrated = pipeline_aberrated.update().resolve()\n", + "save_gray(image_aberrated, \"fig1a_scheme_4_aberrations\")\n" + ] + }, + { + "cell_type": "code", + "execution_count": 18, + "id": "6cc1ef04", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# 3. Acquisition: Poisson + Gaussian detector noise on top of the aberrated image.\n", + "noisy_pipeline = pipeline_aberrated >> dt.Poisson(snr=15) >> dt.Gaussian(sigma=0.01)\n", + "seed_everything(SEED)\n", + "image_noisy = noisy_pipeline.update()()\n", + "save_gray(image_noisy, \"fig1a_scheme_5_acquisition\")\n" + ] + }, + { + "cell_type": "markdown", + "id": "c1105137", + "metadata": {}, + "source": [ + "## 4. Annotation\n", + "\n", + "White background, colored shapes at the *exact* positions, radii, and rotations used to build the scatterers above -- no detection or segmentation is involved, since the ground truth is already known from the simulation parameters themselves.\n" + ] + }, + { + "cell_type": "code", + "execution_count": 19, + "id": "fbb2b73c", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": "iVBORw0KGgoAAAANSUhEUgAAAUgAAAFICAYAAAAyFGczAAAAOnRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjExLjEsIGh0dHBzOi8vbWF0cGxvdGxpYi5vcmcvctoD+AAAAAlwSFlzAAAPYQAAD2EBqD+naQAADA5JREFUeJzt3Q2s1eV9wPHfuW9wb7lc3r1XmSEDmSJ2rGlLcK6TYk23GeMaie1iJF2WSaMdWd2S1i2O2G2x2TRLdMmSGZNmTZxdq4ktms56u27RmdioDGi3lSoDW8ubFy544b6ds5zT5haEn9Jyuefl//kkN5y3kIc/5Mtzzv95zr9UqVQqAcAZ2s58CACBBHgHZpAACYEESAgkQEIgARICCZAQSICEQAIkBBIgIZAACYEESAgkQEIgARICCZAQSICEQAIkBBIgIZAACYEESAgkQEIgARICCZAQSICEQAIkBBIgIZAACYEESAgkQEIgARICCZAQSICEQAIkBBIgIZAACYEESAgkQEIgARICCZAQSICEQAIkBBIgIZAACYEESAgkQEIgARICCZAQSICEQAIkBBIgIZAACYEESAgkQEIgARICCZAQSICEQAIkOrIngOaw7LPbopntue93olGZQQIkBBIgIZAACYEESAgkQEIgARICCZAQSICEQAIk7KQBWmYn0J5p3pVjBgmQEEiAhEACJHwGCVwwA32zo72tVLt9ZGQ8jo9ONNXRFkhgWr13aV/c+KsXx0dX98fS+T1Tj//Vtu/FP/7Hq011tAUSmFb3feyqWHVxX+322EQ5ujqa95O85h050JBe2Xc0/nLbd+PX7xuMl/YORTMzgwSm1d1P7GiZIyqQ0OTOdXF0s1+aYTr/jOd6zLzFBkgIJEBCIAESAgmQEEiAhLPYwLRaNKcrZne2127POmWReF93Zyyd391U2w4FEphWf3fLr8U1ly064/E7P7yi9lN179d2xSPP7Wn4Iy+QwLQ6eHw0Xh8aecfXHGuC2WOVQALT6o8fe6VljmhhAtn/rcb9S/vx+jX1HgIFcC67R4qw2+bn4Sw2QEIgARICCZAQSICEQAIkBBIgIZAACYEESAgkQKJUqVQqMcMaeVdLo7Lbhma0rEF35rgmDcB58hYbICGQAAmBBCj6152t7JkVi7o60+ePTkzGruMnZnRMQGMrTCA/s6w/brpofvr880PH42Ov7J7RMQGNrTCBPNULR45H+W2Lm3aaPQJvU8hA/t5/vRojk+V6DwMoWiCbYRH4stld8Z6O9lokd4+cjNG3TyeBGV2Q3agKOYMc/ODlU7dPTpbjiQNDsXX3j2onagAKu8zn6PhkvDI8Eq+fHKvdn93eFp8YWBj/smZ5dJZK9R4e0EAKM4P89tCxePj1g/Gd4Z9dr/f3L1kUf71yae32e3t74ub++fHoG2/WcZRAIynMDLIavlPjWPXIDw/FzmM/W/u4rm9OHUYGNKrCBDJzaHx86nZPe+EPB3CKQhRhdlspetrO/KMu7GyPNb09U/d/cGJ0hkcGNLJCfAa5rHtWbHvfZfHUoaPxnaNv1U7QLOnqjE9duiTmdf7kEIyWy/HPbxyu91CBBlKIQFbXO1aXhW/sX1D7ebvhicn4o+/tjddO/OTMNkBhArn35Fisfm5nfGTh3Hh/33viklld0dvRFm+OT8ZLw2/FE/uH4vC4NZDABb7kQjPspGk0LqcAjakQJ2kAfhECCZAQSICEQAIkBBIgIZAACYEESAgkQEIgAWZqJ02z77b503/483d9zV2PfX1GxgLUlxkkQEIgARICCZAQSICEQAIkBBIgIZAACYEEaKRr0pzrJQbuv+WGCz4WgIwZJEBCIAESAgmQEEiAhEACJAQSICGQAAmBBEgIJEAj7aRpdue6w8elGaC5mUECJAQSICGQAAmBBEgUOpDdvXOjp29elNoKfRiARKHOYldDePnVH4orr70uBi77leia3V17vDw5GQf2vBrb//Wp2Plvz9R7mECDKFQgexcuit/+9J/Ubk+MjcVbR4aiZ25ftLW3R//yy6L/U1uie+7cePHJr9Z7qEADKFQgyxOTsf2Zp+Plb3w9Dr++N6JSid6Fi+N3P/sXsfjSZbXXrPrQhwUSaPxAnutC63NduH186HB88+G/P+2xY4cPxv9tf2kqkBNjo7/ASIFW1NCBvFC6urtj9pze6OiaFRf98oq48jc3TH0W6e01UOhArl7/kVi/6Q9Pe+z40Jvx1IN/E/t27ajbuIDGUsj1LWMjJ+Logf1x8q3jU4/Nmb8gbvzMn8XSK1bXdWxA4yhVKpVKNLnzuTzs/IGL47fuuKu27Kdq+OCBePjTfxCVSvm8x+XLKqC5FXIGeaqhN34Uzz32T1P35y5eEn1LLqrrmIDGUKhAZjtmqidsTlWJpp9UA9OgUCdpqovEK+Vy7H7xhTiy/42YnJiIgeUr45pP3Db1mjd/uC+O7v9xXccJNIZCBbJUKsXl11wbV1xz7Vmfr+6s2fbg3874uIDGVKhAPvXg/fHfz/17rPjguph/0UB0z+2L8bHR2oxx367tsevbz8bYiRP1HibQIAoVyPLkROx+8T9rPwDvplAnaQB+HgIJkBBIgIRAAiQEEiAhkAAJgQRICCRAQiABEoXaSTNdfM8jFIMZJEBCIAESAgmQEEiAhEACJAQSICGQAAmBBGjlheLnsnD7/ltumJGx0Di2bt3a0L8fjc8MEiAhkAAJgQRICCRAQiABEgIJkBBIgIRAAiQEEiBRqlQqlexJaGb12Plit01rMYMESAgkQEIgARICCZAQSIBW/j5ImC4LFy6M22+/Pbq6uqYeu/fee6NcLjvIBWQGCT/V3t4eN99882lxpNgEEn5qw4YNMTAwEOPj444JNQIJEbF8+fJYt25dVPdNPPvss44JNT6DpClN546Vnp6euOmmm6JUKsXzzz8fe/bsueDjsuOmOZhBUnjVOPb29sb+/fvNHjmNQFJoa9eujZUrV8bExEQ8/vjjMTk5We8h0UAEkkK77rrrar8ODg7WZpBwKp9BUmidnZ21X6+//vraz9ncc889MTw8HA888MAMj456M4MESJhBUmhnO5vc398fmzdvnrpvJ01xmUECJAQSIOGSC8yIq7541bT+fjs27XjX17jkAufLDBIgIZAACYEESAgkQEIgARICCZAQSICEQAIkBBIg4csqaNmdOTu2vvtumyqXPyBjBgmQEEiAhEACJAQSICGQAAmBBEgIJEBCIAESLrlAU15yYaYv30AxmUECJAQSICGQAAmBBEgIJEBCIAESAgmQEEiAhEACJAQSICGQAAmBBEgIJEBCIAESAgmQ6MiegEZVilKsWbImNly6IVYvWh0LZi+Iycpk7Du2Lwb3DsaTP3gyypVyvYdJCxBIms7da++Oj1/+8TMeXzFvRaz/pfVx4/IbY/Mzm2OsPFaX8dE6vMWm6XS2dcZkeTK+8r9fiduevi02fm1jfPl/vjz1/Af6PxC3rrq1rmOkNZhB0nQOnzwcn/zGJ+PlAy9PPfb5Fz5fe7u9auGq2v2rL746Htn5SB1HSSsQSJrOQy8/FJWonPH494e+PxXIjraOab9ejmvXFI+32DSds8Wx6ooFV0zd3n5w+wyOiFYlkLSEjSs3xsoFK2u3j5w8El/67pfqPSRagEDSEnH83NrP1W6PjI/Elm9tiYMnDtZ7WLQAn0HS1Osh73r/XbHpyk21+8Ojw3Hn4J2nnbyB8yGQNKXuju74wm98IdZfur52v7pI/I5v3hGvDb9W76HRQgSSprO4e3E8tOGhqTPW1RnjlsEtMTQ6VO+h0WIEkqaz5X1bpuJYdcmcS+LRGx497TWHRg7FrU9bLM75EUiaTnup/bT7S3qWnPGajpJ/2py/UqVSOfuiMqiDc1m0PW/WvOjp6HnH11S/vGL/yP5pHJmF4kXkv1mazpHRI7UfuNCsgwRICCRAQiABEgIJkBBIgIRAAiQEEiAhkAAJgQRICCRAQiABEgIJkBBIgIRAAiQEEiAhkAAJgQRICCRAwiUXaCg7Nu2YtmvXwPkygwRICCRAQiABEgIJkBBIgIRAAiQEEiAhkAAJC8Vp2QXlFpNzvswgARICCZAQSICEQAIkBBIgIZAACYEESAgkQEIgARKlSqVSyZ4EKDIzSICEQAIkBBIgIZAACYEESAgkQEIgARICCZAQSICEQAIkBBIgIZAACYEESAgkQEIgARICCZAQSICEQAIkBBIgIZAACYEESAgkQEIgARICCZAQSICEQAIkBBIgIZAAcXb/D5UjfqK6ilAyAAAAAElFTkSuQmCC", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "def get_mask(radius):\n", + " def inner(mask):\n", + " mask = np.sum(mask, -1, keepdims=True) > 0\n", + " mask = np.pad(mask, [(1, 1), (1, 1), (0, 0)], mode=\"constant\")\n", + " mask = skmorph.isotropic_erosion(mask, radius=radius)\n", + " return mask[1:-1, 1:-1]\n", + " return inner\n", + "\n", + "\n", + "seed_everything(SEED)\n", + "resolved = scatterers.resolve()\n", + "\n", + "# Build a per-particle mask so that each particle gets its own label id\n", + "# (dt.SampleToMasks with merge_method=\"or\" alone only gives a single binary mask).\n", + "label_image = np.zeros((TILE_SIZE, TILE_SIZE), dtype=int)\n", + "for i, v in enumerate(resolved):\n", + " pos = v.position\n", + " z = v.get_property(\"z\", default=0)\n", + " rad = v.get_property(\"radius\", default=(1, 1, 1))\n", + " rot = v.get_property(\"rotation\", default=(0, 0, 0))\n", + " single = dt.Ellipsoid(\n", + " radius=tuple(rad),\n", + " rotation=tuple(rot),\n", + " position=tuple(pos),\n", + " position_unit=\"pixel\",\n", + " z=z,\n", + " refractive_index=1.45,\n", + " )\n", + " mask_pipeline = (\n", + " single\n", + " >> dt.SampleToMasks(get_mask, radius=0, output_region=optics.output_region,\n", + " merge_method=\"or\")\n", + " >> dt.AsType(\"float\")\n", + " )\n", + " with u.context(create_context(*VOXEL_SIZE, 1, 1, 1)):\n", + " mask_pipeline.update()\n", + " mask = np.asarray(mask_pipeline())[..., 0] > 0\n", + " label_image[mask] = i + 1\n", + "\n", + "composite_gt = label2rgb(label_image, colors=colors[:, :3], bg_label=0, bg_color=(1, 1, 1))\n", + "\n", + "fig, ax = plt.subplots(figsize=(4, 4))\n", + "ax.imshow(composite_gt, origin=\"upper\")\n", + "for i in range(1, label_image.max() + 1):\n", + " ys, xs = np.where(label_image == i)\n", + " ax.text(xs.mean(), ys.mean(), str(i), color=\"white\", fontsize=13,\n", + " fontweight=\"bold\", ha=\"center\", va=\"center\")\n", + "ax.set_axis_off()\n", + "plt.savefig(f\"{OUTPUT_DIR}/fig1a_scheme_6_annotation.png\", bbox_inches=\"tight\", dpi=150)\n", + "plt.show()\n" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "deeptrack_fixes (3.12.8)", + "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": "3.12.8" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/tutorials/1-getting-started/DTGS182_fig1b_SMLM.ipynb b/tutorials/1-getting-started/DTGS182_fig1b_SMLM.ipynb new file mode 100644 index 00000000..765028a6 --- /dev/null +++ b/tutorials/1-getting-started/DTGS182_fig1b_SMLM.ipynb @@ -0,0 +1,221 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "id": "d2256d4f", + "metadata": {}, + "source": [ + "# DTGS182. Figure 1b: Single-Molecule Localization Microscopy (SMLM)\n", + "\n", + "This notebook simulates a single-molecule localization microscopy (SMLM) image with DeepTrack2, reproducing the SMLM panel of Figure 1b. It generates two matching panels: the simulated composite image, and the ground-truth positions used to generate it.\n" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "id": "e38b34a1", + "metadata": {}, + "outputs": [], + "source": [ + "# !pip install deeptrack # Uncomment if running on Colab/Kaggle.\n" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "id": "d112dfd4", + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/Users/cmanzo/Documents/GitHub/Environments/deeptrack_fixes/lib/python3.12/site-packages/tqdm/auto.py:21: TqdmWarning: IProgress not found. Please update jupyter and ipywidgets. See https://ipywidgets.readthedocs.io/en/stable/user_install.html\n", + " from .autonotebook import tqdm as notebook_tqdm\n", + "/Users/cmanzo/Documents/GitHub/Environments/deeptrack_fixes/lib/python3.12/site-packages/torch/jit/_script.py:1491: FutureWarning: `torch.jit.script` is deprecated. Please switch to `torch.compile` or `torch.export`.\n", + " warnings.warn(\n", + "/Users/cmanzo/Documents/GitHub/Environments/deeptrack_fixes/lib/python3.12/site-packages/torch/jit/_script.py:1491: FutureWarning: `torch.jit.script` is deprecated. Please switch to `torch.compile` or `torch.export`.\n", + " warnings.warn(\n" + ] + } + ], + "source": [ + "import random\n", + "\n", + "import numpy as np\n", + "from matplotlib import pyplot as plt\n", + "\n", + "import deeptrack as dt\n", + "\n", + "\n", + "def seed_everything(seed: int = 123) -> None:\n", + " random.seed(seed)\n", + " np.random.seed(seed)\n", + "\n", + "\n", + "SEED = 123\n", + "seed_everything(SEED)\n", + "\n", + "TILE_SIZE = 128\n", + "RESOLUTION = 1e-7 # 100 nm/px, Nyquist-sampled for NA=1.4 at this wavelength.\n" + ] + }, + { + "cell_type": "markdown", + "id": "c68a4add", + "metadata": {}, + "source": [ + "## 1. Simulating the SMLM Image\n", + "\n", + "A dense population of point emitters (`dt.PointParticle`) is imaged through a fluorescence microscope, then corrupted with a constant background offset and Poisson shot noise to mimic a single SMLM frame with overlapping emitters.\n" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "id": "c038f951", + "metadata": {}, + "outputs": [], + "source": [ + "particle = dt.PointParticle(\n", + " position=lambda: np.random.uniform(5, TILE_SIZE - 5, size=2),\n", + " intensity=lambda: np.random.uniform(200, 1000),\n", + " z=lambda: np.random.uniform(-0.1, 0.1) * dt.units.um,\n", + ")\n", + "\n", + "optics = dt.Fluorescence(\n", + " wavelength=640 * dt.units.nm,\n", + " NA=1.4,\n", + " magnification=1,\n", + " resolution=RESOLUTION,\n", + " output_region=(0, 0, TILE_SIZE, TILE_SIZE),\n", + ")\n", + "\n", + "postprocess = dt.Add(lambda: np.random.uniform(10, 15)) >> dt.Poisson(SNR=50.0)\n", + "\n", + "particles = particle ^ (lambda: np.random.randint(40, 60))\n", + "pipeline = optics(particles) >> postprocess\n" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "id": "afe96eb5", + "metadata": {}, + "outputs": [], + "source": [ + "pipeline.update()\n", + "image = pipeline.resolve()\n", + "\n", + "ground_truth_positions = dt.TakeProperties(particles, \"position\")\n", + "ground_truth_positions = np.array(ground_truth_positions())\n" + ] + }, + { + "cell_type": "markdown", + "id": "4c3b4ed9", + "metadata": {}, + "source": [ + "## 2. Plotting the Composite Image\n", + "\n", + "The simulated image is shown with a physical scale bar, computed from the pixel resolution set above.\n" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "id": "429e1bb2", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "PIXELS_PER_UM = 1.0 / (RESOLUTION * 1e6)\n", + "SCALE_BAR_UM = 2.5\n", + "scale_bar_px = SCALE_BAR_UM * PIXELS_PER_UM\n", + "\n", + "fig, ax = plt.subplots(1, 1, figsize=(4, 4))\n", + "ax.imshow(image, cmap=\"gray\")\n", + "x0, y0 = TILE_SIZE * 0.06, TILE_SIZE * 0.94\n", + "ax.plot([x0, x0 + scale_bar_px], [y0, y0], color=\"white\", linewidth=2.5,\n", + " solid_capstyle=\"butt\")\n", + "ax.axis(\"off\")\n", + "\n", + "fig.savefig(\"fig1b_smlm_sim.svg\", format=\"svg\", bbox_inches=\"tight\",\n", + " pad_inches=0, transparent=True)\n" + ] + }, + { + "cell_type": "markdown", + "id": "c47d2e0f", + "metadata": {}, + "source": [ + "## 3. Plotting the Ground Truth\n", + "\n", + "The same emitter positions used to generate the image above, overlaid on a blank background as the ground-truth annotation.\n" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "id": "2bec4e52", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "ground_truth_background = np.ones(image.shape, dtype=np.float32)\n", + "\n", + "fig, ax = plt.subplots(1, 1, figsize=(4, 4))\n", + "ax.imshow(ground_truth_background, cmap=\"gray\", vmin=0, vmax=1)\n", + "ax.scatter(\n", + " ground_truth_positions[:, 1], ground_truth_positions[:, 0],\n", + " s=100, facecolors=\"#2a78d6\", linewidths=1.2, marker=\"+\", label=\"ground truth\",\n", + ")\n", + "ax.axis(\"off\")\n", + "\n", + "fig.savefig(\"fig1b_smlm_gt.svg\", format=\"svg\", bbox_inches=\"tight\",\n", + " pad_inches=0, transparent=True)\n" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "deeptrack_fixes (3.12.8)", + "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": "3.12.8" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/tutorials/1-getting-started/DTGS183_fig1c_bacteria.ipynb b/tutorials/1-getting-started/DTGS183_fig1c_bacteria.ipynb new file mode 100644 index 00000000..594f4cf7 --- /dev/null +++ b/tutorials/1-getting-started/DTGS183_fig1c_bacteria.ipynb @@ -0,0 +1,590 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "id": "5fb9cc6a", + "metadata": {}, + "source": [ + "# DTGS183. Figure 1c: Simulating Bacteria\n", + "\n", + "This notebook simulates a brightfield image of a bacterial sample with DeepTrack2, reproducing the bacteria panel of Figure 1c. Two custom `VolumeScatterer` subclasses model rod-shaped bacilli and short chains of dividing bacilli, which are combined into a mixed population. The notebook produces two matching panels: the simulated brightfield image, and a ground-truth/label overlay distinguishing lone bacilli from dividing chains.\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "21cd9ad4", + "metadata": {}, + "outputs": [], + "source": [ + "# !pip install deeptrack # Uncomment if running on Colab/Kaggle.\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "854fbd33", + "metadata": {}, + "outputs": [], + "source": [ + "import random\n", + "\n", + "import numpy as np\n", + "from matplotlib import pyplot as plt\n", + "from skimage.segmentation import find_boundaries\n", + "\n", + "import deeptrack as dt\n", + "from deeptrack import units as u\n", + "from deeptrack.backend.units import ConversionTable\n", + "from deeptrack.optical.scatterers import VolumeScatterer\n", + "\n", + "\n", + "def seed_everything(seed: int = 123) -> None:\n", + " random.seed(seed)\n", + " np.random.seed(seed)\n", + "\n", + "\n", + "SEED = 345\n", + "seed_everything(SEED)\n", + "\n", + "TILE_SIZE = 256\n", + "RESOLUTION = 1e-7 # 0.656 um/px, physically corrected resolution.\n" + ] + }, + { + "cell_type": "markdown", + "id": "c03128e9", + "metadata": {}, + "source": [ + "## 1. Defining the Bacteria Shapes\n", + "\n", + "`Bacillus` renders a single rod-shaped bacterium as a hollow shell: a capsule (cylinder with hemispherical caps) with wave-like bending along its length, minus a smaller inner capsule to leave only the cell envelope. `ChainBacillus` extends the same shell construction to a short chain of `n_bacilli` segments, hinged end-to-end along a bounded random walk in heading to model a dividing/elongating chain.\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "88ac651d", + "metadata": {}, + "outputs": [], + "source": [ + "class Bacillus(VolumeScatterer):\n", + " __conversion_table__ = ConversionTable(\n", + " radius=(u.meter, u.meter),\n", + " length=(u.meter, u.meter),\n", + " rotation=(u.radian, u.radian),\n", + " )\n", + "\n", + " def __init__(\n", + " self,\n", + " radius=0.4e-6,\n", + " length=2e-6,\n", + " rotation=(0, 0, 0),\n", + " bend=0,\n", + " refractive_index=1.38,\n", + " **kwargs,\n", + " ):\n", + " super().__init__(\n", + " radius=radius,\n", + " length=length,\n", + " rotation=rotation,\n", + " bend=bend,\n", + " refractive_index=refractive_index,\n", + " **kwargs,\n", + " )\n", + "\n", + " def _process_properties(self, properties):\n", + " properties = super()._process_properties(properties)\n", + "\n", + " # Ensure radius is scalar\n", + " radius = np.array(properties[\"radius\"])\n", + " if radius.size > 1:\n", + " radius = radius[0]\n", + " properties[\"radius\"] = float(radius)\n", + "\n", + " # Ensure length is scalar\n", + " properties[\"length\"] = float(properties[\"length\"])\n", + "\n", + " # Ensure rotation is 3 values\n", + " rotation = np.array(properties[\"rotation\"])\n", + " if rotation.ndim == 0:\n", + " rotation = [rotation, 0, 0]\n", + " elif rotation.size == 1:\n", + " rotation = [rotation[0], 0, 0]\n", + " elif rotation.size == 2:\n", + " rotation = [rotation[0], rotation[1], 0]\n", + " properties[\"rotation\"] = tuple(rotation)\n", + "\n", + " return properties\n", + "\n", + " def get(\n", + " self,\n", + " *ignore,\n", + " radius,\n", + " length,\n", + " rotation,\n", + " bend,\n", + " voxel_size,\n", + " **kwargs,\n", + " ):\n", + "\n", + " # Determine grid size\n", + " rad_ceil = np.ceil(radius / np.min(voxel_size[:2]))\n", + " len_ceil = np.ceil(length * 0.5 / voxel_size[2]) + rad_ceil\n", + " ceil = int(max(rad_ceil, len_ceil))\n", + "\n", + " # Create the grid\n", + " x = np.arange(-ceil, ceil) * voxel_size[0]\n", + " y = np.arange(-ceil, ceil) * voxel_size[1]\n", + " z = np.arange(-ceil, ceil) * voxel_size[2]\n", + " Y, X, Z = np.meshgrid(y, x, z)\n", + "\n", + " # Rotate the grid\n", + " cos = np.cos(rotation)\n", + " sin = np.sin(rotation)\n", + " XR = (\n", + " cos[0] * cos[1] * X\n", + " + (cos[0] * sin[1] * sin[2] - sin[0] * cos[2]) * Y\n", + " + (cos[0] * sin[1] * cos[2] + sin[0] * sin[2]) * Z\n", + " )\n", + " YR = (\n", + " sin[0] * cos[1] * X\n", + " + (sin[0] * sin[1] * sin[2] + cos[0] * cos[2]) * Y\n", + " + (sin[0] * sin[1] * cos[2] - cos[0] * sin[2]) * Z\n", + " )\n", + " ZR = (-sin[1] * X) + cos[1] * sin[2] * Y + cos[1] * cos[2] * Z\n", + "\n", + " # Apply wave-like bending along the length of the bacillus\n", + " lateral_offset_x = bend * np.cos(np.pi * YR / length)\n", + " XR -= lateral_offset_x\n", + "\n", + " # Cylinder mask\n", + " cyl_mask = ((XR**2 / radius**2 + ZR**2 / radius**2) < 1) & (\n", + " np.abs(YR) < (length / 2)\n", + " )\n", + " # Hemispherical caps\n", + " cap_mask = (\n", + " XR**2 + ZR**2 + (np.abs(YR) - (length / 2)) ** 2\n", + " ) < radius**2\n", + "\n", + " # Combine cylinder with end-caps to form the full bacillus shape\n", + " mask = cyl_mask | cap_mask\n", + "\n", + " # Hollow out an inner capsule to leave only the cell envelope (shell)\n", + " inner_radius = radius * 0.6\n", + " inner_length = length * 0.9\n", + "\n", + " cyl_mask_in = ((XR**2 / inner_radius**2 + ZR**2 / inner_radius**2) < 1) & (\n", + " np.abs(YR) < (inner_length / 2)\n", + " )\n", + " cap_mask_in = (\n", + " XR**2 + ZR**2 + (np.abs(YR) - (inner_length / 2)) ** 2\n", + " ) < inner_radius**2\n", + " mask_in = cyl_mask_in | cap_mask_in\n", + "\n", + " shell = mask & ~mask_in\n", + " return shell.astype(float)\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "2e294ac9", + "metadata": {}, + "outputs": [], + "source": [ + "class ChainBacillus(VolumeScatterer):\n", + " __conversion_table__ = ConversionTable(\n", + " radius=(u.meter, u.meter),\n", + " length=(u.meter, u.meter),\n", + " rotation=(u.radian, u.radian),\n", + " max_chain_bend=(u.radian, u.radian), # an ANGLE (per-joint), not a distance\n", + " )\n", + "\n", + " def __init__(\n", + " self,\n", + " radius=0.4e-6,\n", + " length=2e-6,\n", + " n_bacilli=5,\n", + " rotation=(0, 0, 0),\n", + " chain_bend=0,\n", + " bacillus_bend=0,\n", + " overlap_fraction=0.02, # fraction of capsule half-length consecutive segments overlap by\n", + " **kwargs\n", + " ):\n", + " super().__init__(\n", + " radius=radius,\n", + " length=length,\n", + " n_bacilli=n_bacilli,\n", + " rotation=rotation,\n", + " chain_bend=chain_bend,\n", + " bacillus_bend=bacillus_bend,\n", + " overlap_fraction=overlap_fraction,\n", + " **kwargs\n", + " )\n", + "\n", + " def _process_properties(self, properties):\n", + " properties = super()._process_properties(properties)\n", + "\n", + " radius = np.array(properties[\"radius\"])\n", + " if radius.size > 1:\n", + " radius = radius[0]\n", + " properties[\"radius\"] = float(radius)\n", + "\n", + " length = properties[\"length\"]\n", + " if np.ndim(length) == 0:\n", + " properties[\"length\"] = float(length)\n", + " else:\n", + " properties[\"length\"] = np.array(length, dtype=float)\n", + "\n", + " properties[\"n_bacilli\"] = int(properties.get(\"n_bacilli\"))\n", + "\n", + " rotation = np.array(properties[\"rotation\"])\n", + " if rotation.ndim == 0:\n", + " rotation = [rotation, 0, 0]\n", + " elif rotation.size == 1:\n", + " rotation = [rotation[0], 0, 0]\n", + " elif rotation.size == 2:\n", + " rotation = [rotation[0], rotation[1], 0]\n", + " properties[\"rotation\"] = tuple(rotation)\n", + "\n", + " return properties\n", + "\n", + " def get(\n", + " self,\n", + " *ignore,\n", + " radius,\n", + " length,\n", + " n_bacilli,\n", + " rotation,\n", + " chain_bend,\n", + " bacillus_bend,\n", + " overlap_fraction,\n", + " voxel_size,\n", + " **kwargs\n", + " ):\n", + " # Determine grid size\n", + " rad_ceil = np.ceil(radius / np.min(voxel_size[:2]))\n", + " len_ceil = (\n", + " np.ceil(length * 0.5 * n_bacilli / voxel_size[2])\n", + " + rad_ceil * n_bacilli\n", + " )\n", + " ceil = int(max(rad_ceil, len_ceil))\n", + "\n", + " # Create grid\n", + " x = np.arange(-ceil, ceil) * voxel_size[0]\n", + " y = np.arange(-ceil, ceil) * voxel_size[1]\n", + " z = np.arange(-ceil, ceil) * voxel_size[2]\n", + " Y, X, Z = np.meshgrid(y, x, z)\n", + "\n", + " # Base 3D rotation of the whole chain (unchanged; controls overall\n", + " # orientation in the lab frame -- chain bending below stays confined\n", + " # to this frame's local X-Y plane, not a second uncontrolled 3D tilt)\n", + " cos = np.cos(rotation)\n", + " sin = np.sin(rotation)\n", + " XR = (\n", + " cos[0] * cos[1] * X\n", + " + (cos[0] * sin[1] * sin[2] - sin[0] * cos[2]) * Y\n", + " + (cos[0] * sin[1] * cos[2] + sin[0] * sin[2]) * Z\n", + " )\n", + " YR = (\n", + " sin[0] * cos[1] * X\n", + " + (sin[0] * sin[1] * sin[2] + cos[0] * cos[2]) * Y\n", + " + (sin[0] * sin[1] * cos[2] - cos[0] * sin[2]) * Z\n", + " )\n", + " ZR = (-sin[1] * X) + cos[1] * sin[2] * Y + cos[1] * cos[2] * Z\n", + "\n", + " # Consecutive segments are spaced slightly CLOSER than exact\n", + " # end-to-end tangency, since two capsules that only just touch meet\n", + " # at a single, measure-zero point that often falls between sampled\n", + " # voxels on a discrete grid, rendering as a visible gap.\n", + " capsule_half_length = length / 2 + radius\n", + " place_half_length = capsule_half_length * (1 - overlap_fraction)\n", + "\n", + " # True hinge construction: each segment's center sits exactly\n", + " # `place_half_length` from a SHARED pivot point, along its OWN\n", + " # heading -- so consecutive rods pivot around a common joint rather\n", + " # than being offset sideways from each other. Heading itself is a\n", + " # random walk, bounded by +/- max_chain_bend per joint.\n", + " heading = 0.0\n", + " headings = [heading]\n", + " hinge = np.array([0.0, 0.0])\n", + " direction = np.array([np.sin(heading), np.cos(heading)])\n", + " center = hinge + place_half_length * direction\n", + " centers = [center]\n", + " hinge = center + place_half_length * direction # this segment's far end\n", + "\n", + " for i in range(1, n_bacilli):\n", + " heading += chain_bend\n", + " headings.append(heading)\n", + " direction = np.array([np.sin(heading), np.cos(heading)])\n", + " center = hinge + place_half_length * direction\n", + " centers.append(center)\n", + " hinge = center + place_half_length * direction # next joint\n", + "\n", + " centers = np.array(centers)\n", + " mean_xy = centers.mean(axis=0)\n", + "\n", + " shell = np.zeros_like(XR, dtype=bool)\n", + " for (cx, cy), seg_heading in zip(centers, headings):\n", + " dx = XR - (cx - mean_xy[0])\n", + " dy = YR - (cy - mean_xy[1])\n", + " local_x = dx*np.cos(seg_heading) - dy*np.sin(seg_heading)\n", + " local_y = dx*np.sin(seg_heading) + dy*np.cos(seg_heading)\n", + " local_z = ZR\n", + "\n", + " lateral_offset_x = bacillus_bend * np.cos(np.pi * local_y / length)\n", + " local_x = local_x - lateral_offset_x\n", + "\n", + " cyl_mask = (\n", + " (local_x**2 / radius**2 + local_z**2 / radius**2) < 1\n", + " ) & (np.abs(local_y) < length / 2)\n", + "\n", + " cap_mask = (\n", + " local_x**2 + local_z**2 + (np.abs(local_y) - length / 2) ** 2\n", + " ) < radius**2\n", + "\n", + " mask0 = cyl_mask | cap_mask\n", + "\n", + " inner_radius = radius * 0.6\n", + " inner_length = length * 0.9\n", + "\n", + " cyl_mask_in = ((local_x**2 / inner_radius**2 + local_z**2 / inner_radius**2) < 1) & (\n", + " np.abs(local_y) < (inner_length / 2)\n", + " )\n", + " cap_mask_in = (\n", + " local_x**2 + local_z**2 + (np.abs(local_y) - (inner_length / 2)) ** 2\n", + " ) < inner_radius**2\n", + " mask_in = cyl_mask_in | cap_mask_in\n", + "\n", + " shell |= mask0 & ~mask_in\n", + "\n", + " return shell.astype(float)\n" + ] + }, + { + "cell_type": "markdown", + "id": "f46dc073", + "metadata": {}, + "source": [ + "## 2. Setting Up the Optics\n", + "\n", + "Brightfield, darkfield, and fluorescence optics are configured over the same `TILE_SIZE` output region, so that all three imaging modes can later be resolved from the same sample.\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "c13b8dd4", + "metadata": {}, + "outputs": [], + "source": [ + "optics_bf = dt.Brightfield(resolution=RESOLUTION, magnification=1,\n", + " NA=1.2, refractive_index_medium=1.33,\n", + " output_region=(0, 0, TILE_SIZE, TILE_SIZE)\n", + " )\n", + "\n", + "optics_df = dt.Darkfield(resolution=RESOLUTION, magnification=1,\n", + " NA=1.45, refractive_index_medium=1.33,\n", + " output_region=(0, 0, TILE_SIZE, TILE_SIZE)\n", + " )\n", + "\n", + "optics_fluo = dt.Fluorescence(resolution=RESOLUTION, magnification=1,\n", + " NA=1.0,\n", + " output_region=(0, 0, TILE_SIZE, TILE_SIZE)\n", + " )\n" + ] + }, + { + "cell_type": "markdown", + "id": "7a6e9132", + "metadata": {}, + "source": [ + "## 3. Simulating the Sample\n", + "\n", + "A population of lone bacilli (`multiple_bacilli`) and a population of short dividing chains (`multiple_chains`) are combined into one sample, `bac`. Each population is also passed through `dt.SampleToMasks` to build binary masks (`mask_lone`, `mask_dividing`) labeling which pixels belong to each class, matched to the brightfield, darkfield, and fluorescence images by resolving all five features together in a single pipeline.\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "8d54f2df", + "metadata": {}, + "outputs": [], + "source": [ + "max_bacillus_bend = 2e-7\n", + "bacillus = Bacillus(\n", + " position=lambda: np.random.uniform(10, TILE_SIZE-10, 2),\n", + " rotation=lambda: np.random.uniform(0, 2 * np.pi),\n", + " length=lambda: np.random.uniform(1.4e-6, 2.2e-6),\n", + " bend=lambda: (np.random.rand() - 0.5) * 2 * max_bacillus_bend,\n", + " refractive_index=lambda: np.random.uniform(1.38, 1.42),\n", + ")\n", + "\n", + "max_bacillus_bend2 = 1e-7\n", + "max_chain_bend = np.pi / 10\n", + "\n", + "chain_bacilli = ChainBacillus(\n", + " position=lambda: np.random.uniform(10, TILE_SIZE-10, 2),\n", + " length=lambda: np.random.uniform(1.4e-6, 1.8e-6),\n", + " n_bacilli=2,\n", + " rotation=lambda: np.random.uniform(0, 2 * np.pi),\n", + " chain_bend=lambda: (np.random.rand() - 0.5) * 2 * (max_chain_bend),\n", + " bacillus_bend=lambda: (np.random.rand() - 0.5) * 2 * max_bacillus_bend2,\n", + " refractive_index=lambda: np.random.uniform(1.38, 1.42),\n", + ")\n", + "\n", + "multiple_bacilli = bacillus ^ (lambda: np.random.randint(5, 10))\n", + "multiple_chains = chain_bacilli ^ (lambda: np.random.randint(3, 4))\n", + "\n", + "bac = multiple_bacilli & multiple_chains\n", + "\n", + "\n", + "def get_mask(radius):\n", + " \"\"\"Apply isotropic erosion to a binary mask.\"\"\"\n", + " def inner(mask):\n", + " mask = np.sum(mask, -1, keepdims=True) > 0\n", + " return mask\n", + " return inner\n", + "\n", + "mask_lone = (\n", + " multiple_bacilli\n", + " >> dt.SampleToMasks(get_mask, radius=0, output_region=(0, 0, TILE_SIZE, TILE_SIZE),\n", + " merge_method=\"or\")\n", + ")\n", + "\n", + "mask_dividing = (\n", + " multiple_chains\n", + " >> dt.SampleToMasks(get_mask, radius=0, output_region=(0, 0, TILE_SIZE, TILE_SIZE),\n", + " merge_method=\"or\")\n", + ")\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "4585e29c", + "metadata": {}, + "outputs": [], + "source": [ + "pip_bf = optics_bf(bac) >> dt.Gaussian(sigma=0.035) >> dt.GaussianBlur(sigma=2.4)\n", + "pip_df = optics_df(bac) >> dt.Gaussian(sigma=0.00135) >> dt.GaussianBlur(sigma=1.6)\n", + "pip_fluo = optics_fluo(bac) >> dt.Poisson(snr=10)\n", + "pip = pip_bf & pip_df & pip_fluo & mask_lone & mask_dividing\n", + "\n", + "pip.update()\n", + "image_bf, image_df, image_fluo, mask_lone, mask_dividing = pip.resolve()\n" + ] + }, + { + "cell_type": "markdown", + "id": "9e386881", + "metadata": {}, + "source": [ + "## 4. Plotting the Brightfield Panel\n", + "\n", + "The brightfield image is shown with a physical scale bar and saved as the main panel. Darkfield and fluorescence renders of the same sample are also previewed here for comparison, but not saved." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "74d945ab", + "metadata": {}, + "outputs": [], + "source": [ + "px_per_um = 1.0 / (RESOLUTION * 1e6) # RESOLUTION is in meters/px\n", + "SCALE_BAR_UM = 5\n", + "scale_bar_px = SCALE_BAR_UM * px_per_um\n", + "\n", + "fig, ax = plt.subplots(1, 1, figsize=(4, 4))\n", + "ax.imshow(image_bf, cmap=\"gray\")\n", + "x0, y0 = TILE_SIZE * 0.06, TILE_SIZE * 0.94\n", + "ax.plot([x0, x0 + scale_bar_px], [y0, y0], color=\"white\", linewidth=2.5,\n", + " solid_capstyle=\"butt\")\n", + "ax.axis(\"off\")\n", + "plt.show()\n", + "fig.savefig(\"fig1c_bacteria_sim.svg\", format=\"svg\", bbox_inches=\"tight\", pad_inches=0, transparent=True)\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "b7ec11be", + "metadata": {}, + "outputs": [], + "source": [ + "fig, ax = plt.subplots(1, 1, figsize=(4, 4))\n", + "ax.imshow(image_df, cmap=\"gray\")\n", + "x0, y0 = TILE_SIZE * 0.06, TILE_SIZE * 0.94\n", + "ax.plot([x0, x0 + scale_bar_px], [y0, y0], color=\"white\", linewidth=2.5,\n", + " solid_capstyle=\"butt\")\n", + "ax.axis(\"off\")\n", + "plt.show()\n", + "\n", + "fig, ax = plt.subplots(1, 1, figsize=(4, 4))\n", + "ax.imshow(image_fluo, cmap=\"gray\")\n", + "x0, y0 = TILE_SIZE * 0.06, TILE_SIZE * 0.94\n", + "ax.plot([x0, x0 + scale_bar_px], [y0, y0], color=\"white\", linewidth=2.5,\n", + " solid_capstyle=\"butt\")\n", + "ax.axis(\"off\")\n", + "plt.show()\n" + ] + }, + { + "cell_type": "markdown", + "id": "dc130350", + "metadata": {}, + "source": [ + "## 5. Plotting the Ground-Truth Mask\n", + "\n", + "The `mask_lone`/`mask_dividing` masks resolved above are combined into a single color-coded ground-truth panel: lone bacilli and dividing chains are colored differently and outlined, then saved alongside the brightfield panel." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "173a67c4", + "metadata": {}, + "outputs": [], + "source": [ + "COLOR_LONE = np.array([0, 114/255, 178/255]) # Wong blue\n", + "COLOR_DIVIDING = np.array([213/255, 94/255, 0]) # Wong vermillion\n", + "\n", + "lone_bool = mask_lone.squeeze().astype(bool) # isolated bacteria mask\n", + "dividing_bool = mask_dividing.squeeze().astype(bool) # dividing bacteria mask\n", + "\n", + "# --- Composite class map ---\n", + "composite_gt = np.ones((mask_lone.shape[0], mask_lone.shape[1], 3), dtype=np.float32)\n", + "composite_gt[lone_bool] = COLOR_LONE\n", + "composite_gt[dividing_bool] = COLOR_DIVIDING\n", + "\n", + "overlap = lone_bool & dividing_bool\n", + "if overlap.any():\n", + " composite_gt[overlap] = [0.4, 0.4, 0.4] # flag any unexpected overlap\n", + "\n", + "boundaries = find_boundaries(lone_bool | dividing_bool, mode=\"inner\")\n", + "composite_gt[boundaries] = [0, 0, 0]\n", + "\n", + "fig, ax = plt.subplots(1, 1, figsize=(4, 4))\n", + "ax.imshow(composite_gt)\n", + "ax.axis(\"off\")\n", + "plt.show()\n", + "fig.savefig(\"fig1c_bacteria_gt.svg\", format=\"svg\", bbox_inches=\"tight\", pad_inches=0, transparent=True)\n" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "name": "python", + "version": "3" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/tutorials/1-getting-started/DTGS184_fig1d_nuclei.ipynb b/tutorials/1-getting-started/DTGS184_fig1d_nuclei.ipynb new file mode 100644 index 00000000..704b8e6c --- /dev/null +++ b/tutorials/1-getting-started/DTGS184_fig1d_nuclei.ipynb @@ -0,0 +1,349 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "id": "44f76ef1", + "metadata": {}, + "source": [ + "# DTGS184. Figure 1d: Simulating Cell Nuclei\n", + "\n", + "This notebook simulates a population of cell nuclei with DeepTrack2, reproducing the nuclei panel of Figure 1d. Nuclei are modeled as `dt.Ellipsoid` scatterers, spatially separated with `dt.NonOverlapping`, imaged through a fluorescence microscope, and converted into an instance-segmentation-style label mask with `dt.SampleToMasks`. The notebook generates two matching panels: the simulated composite image, and the ground-truth instance mask used to generate it.\n" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "id": "00d5d1cb", + "metadata": {}, + "outputs": [], + "source": [ + "# !pip install deeptrack # Uncomment if running on Colab/Kaggle.\n" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "id": "06c32dcc", + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/Users/cmanzo/Documents/GitHub/Environments/deeptrack_fixes/lib/python3.12/site-packages/tqdm/auto.py:21: TqdmWarning: IProgress not found. Please update jupyter and ipywidgets. See https://ipywidgets.readthedocs.io/en/stable/user_install.html\n", + " from .autonotebook import tqdm as notebook_tqdm\n", + "/Users/cmanzo/Documents/GitHub/Environments/deeptrack_fixes/lib/python3.12/site-packages/torch/jit/_script.py:1491: FutureWarning: `torch.jit.script` is deprecated. Please switch to `torch.compile` or `torch.export`.\n", + " warnings.warn(\n", + "/Users/cmanzo/Documents/GitHub/Environments/deeptrack_fixes/lib/python3.12/site-packages/torch/jit/_script.py:1491: FutureWarning: `torch.jit.script` is deprecated. Please switch to `torch.compile` or `torch.export`.\n", + " warnings.warn(\n" + ] + } + ], + "source": [ + "import random\n", + "\n", + "import numpy as np\n", + "from matplotlib import pyplot as plt\n", + "from scipy.ndimage import label\n", + "from skimage import morphology as skmorph\n", + "from skimage.color import label2rgb\n", + "\n", + "import deeptrack as dt\n", + "\n", + "\n", + "def seed_everything(seed: int = 123) -> None:\n", + " random.seed(seed)\n", + " np.random.seed(seed)\n", + "\n", + "\n", + "SEED = 123\n", + "seed_everything(SEED)\n", + "\n", + "TILE_SIZE = 300\n", + "RESOLUTION = 0.656e-6 # 0.656 um/px\n" + ] + }, + { + "cell_type": "markdown", + "id": "03f9ff4d", + "metadata": {}, + "source": [ + "## 1. Defining the Nucleus Shape\n", + "\n", + "Each nucleus is an ellipsoid whose in-plane axes and thickness are drawn to match a realistic nuclear footprint (roughly 8-12 um).\n" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "id": "e9322f58", + "metadata": {}, + "outputs": [], + "source": [ + "def random_ellipsoid_axes():\n", + " # Corrected to nuclear scale (~8.0-12.0 um footprint).\n", + " ellipse_area = (np.random.uniform(8.0, 12.0)) ** 2\n", + " radius_ratio = np.random.uniform(0.7, 1.4)\n", + " major_axis = np.sqrt(ellipse_area) * radius_ratio\n", + " minor_axis = np.sqrt(ellipse_area) / radius_ratio\n", + " z_axis = np.sqrt(ellipse_area) * np.random.uniform(0.2, 0.4)\n", + " return (major_axis, minor_axis, z_axis) * dt.units.um\n" + ] + }, + { + "cell_type": "markdown", + "id": "0ae15959", + "metadata": {}, + "source": [ + "## 2. Simulating the Sample\n", + "\n", + "A random number of nuclei are placed within the tile, deformed with an elastic transformation, and blended with three noise components (long-range, short-range, and randomly-parameterized) to mimic realistic fluorescence texture. `dt.NonOverlapping` then resolves a non-overlapping arrangement of nuclei before imaging.\n" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "id": "9fff3694", + "metadata": {}, + "outputs": [], + "source": [ + "ellipse = dt.Ellipsoid(\n", + " radius=random_ellipsoid_axes,\n", + " intensity=lambda: np.random.uniform(0.5, 1.5),\n", + " position=lambda: np.random.uniform(10, TILE_SIZE - 10, size=2),\n", + " rotation=lambda: np.random.uniform(0, 2 * np.pi),\n", + ")\n", + "\n", + "synthetic_nuclei = (\n", + " (ellipse ^ (lambda: np.random.randint(10, 12)))\n", + " >> dt.Pad(px=(10, 10, 10, 10), keep_size=False)\n", + " >> dt.ElasticTransformation(alpha=100, sigma=10, order=1)\n", + " >> dt.CropTight()\n", + ")\n", + "synthetic_nuclei_mask = synthetic_nuclei > 0\n", + "\n", + "long_range_noise = (\n", + " synthetic_nuclei >> dt.Poisson(snr=0.2) >> dt.GaussianBlur(sigma=3.5)\n", + ")\n", + "short_range_noise = (\n", + " synthetic_nuclei >> dt.Poisson(snr=1.0) >> dt.GaussianBlur(sigma=1.5)\n", + ")\n", + "random_range_noise = (\n", + " synthetic_nuclei\n", + " >> dt.Poisson(snr=lambda: np.random.uniform(0.5, 1.5))\n", + " >> dt.GaussianBlur(sigma=lambda: np.random.uniform(0.75, 1.5))\n", + ")\n", + "noisy_synthetic_nuclei = (\n", + " synthetic_nuclei_mask\n", + " * (long_range_noise + short_range_noise + random_range_noise) / 3\n", + ")\n", + "\n", + "non_overlap_nuclei = dt.NonOverlapping(noisy_synthetic_nuclei, min_distance=12)\n" + ] + }, + { + "cell_type": "markdown", + "id": "3ba1d0de", + "metadata": {}, + "source": [ + "## 3. Imaging the Sample\n", + "\n", + "The non-overlapping nuclei are imaged with `dt.Fluorescence` using physically realistic microscopy parameters, then lightly blurred to simulate optical aliasing.\n" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "id": "b28b3c4c", + "metadata": {}, + "outputs": [], + "source": [ + "optics = dt.Fluorescence(\n", + " resolution=RESOLUTION, magnification=1, wavelength=460e-9,\n", + " NA=1.0,\n", + " output_region=(0, 0, TILE_SIZE, TILE_SIZE),\n", + ")\n", + "sim_im_pip = (\n", + " optics(non_overlap_nuclei)\n", + " >> dt.Gaussian(sigma=lambda: np.random.uniform(0, 0.2))\n", + ")\n", + "\n", + "# The NA/resolution combination can trigger a sampling warning, which can be ignored:\n", + "# aliasing is present in experimental data too, so we want to simulate it as well.\n" + ] + }, + { + "cell_type": "markdown", + "id": "977984fd", + "metadata": {}, + "source": [ + "## 4. Building the Ground-Truth Mask\n", + "\n", + "`dt.SampleToMasks` renders each nucleus into a binary mask, isotropically eroded to separate touching instances, and merged into a single label mask.\n" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "id": "fabd3784", + "metadata": {}, + "outputs": [], + "source": [ + "def get_mask(radius):\n", + " \"\"\"Apply isotropic erosion to a binary mask.\"\"\"\n", + " def inner(mask):\n", + " mask = np.sum(mask, -1, keepdims=True) > 0\n", + " mask = np.pad(mask, [(1, 1), (1, 1), (0, 0)], mode=\"constant\")\n", + " mask = skmorph.isotropic_erosion(mask, radius=radius)\n", + " return mask[1:-1, 1:-1]\n", + " return inner\n", + "\n", + "\n", + "sim_mask_pip = (\n", + " non_overlap_nuclei\n", + " >> dt.SampleToMasks(get_mask, radius=2, output_region=optics.output_region,\n", + " merge_method=\"or\")\n", + ")\n" + ] + }, + { + "cell_type": "markdown", + "id": "3160994b", + "metadata": {}, + "source": [ + "## 5. Resolving the Image and Mask Together\n", + "\n", + "The image and mask pipelines are resolved jointly with `&` so that they share the same random draw of nuclei, then converted to PyTorch tensors and back to NumPy arrays.\n" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "id": "5a7ceca6", + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/Users/cmanzo/Documents/GitHub/DeepTrack2/deeptrack/optical/optics.py:783: UserWarning: Likely bad optical parameters. NA / wavelength * \n", + " resolution / magnification = [1.42608696 1.42608696 1.42608696] should be at most 0.5. \n", + " To fix, set magnification to 3.0, and downsample\n", + " the resulting image with \n", + " dt.AveragePooling((3.0, 3.0, 1))\n", + " \n", + " warnings.warn(\n" + ] + } + ], + "source": [ + "sim_im_mask_pip = sim_im_pip & sim_mask_pip\n", + "\n", + "image, mask = sim_im_mask_pip.update()()" + ] + }, + { + "cell_type": "markdown", + "id": "ae94953b", + "metadata": {}, + "source": [ + "## 6. Plotting the Composite Image\n", + "\n", + "The simulated image is shown with a physical scale bar, computed from the pixel resolution set above.\n" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "id": "4277e665", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "px_per_um = 1.0 / (RESOLUTION * 1e6) # RESOLUTION is in meters/px\n", + "SCALE_BAR_UM = 50.0\n", + "scale_bar_px = SCALE_BAR_UM * px_per_um\n", + "\n", + "fig, ax = plt.subplots(1, 1, figsize=(4, 4))\n", + "ax.imshow(image, cmap=\"gray\")\n", + "x0, y0 = TILE_SIZE * 0.06, TILE_SIZE * 0.94\n", + "ax.plot([x0, x0 + scale_bar_px], [y0, y0], color=\"white\", linewidth=2.5,\n", + " solid_capstyle=\"butt\")\n", + "ax.axis(\"off\")\n", + "\n", + "fig.savefig(\"fig1d_nuclei_sim.svg\", format=\"svg\", bbox_inches=\"tight\",\n", + " pad_inches=0, transparent=True)\n" + ] + }, + { + "cell_type": "markdown", + "id": "dd8c8649", + "metadata": {}, + "source": [ + "## 7. Plotting the Ground-Truth Mask\n", + "\n", + "The binary mask is labeled into connected components and colored per instance to give the ground-truth annotation for the composite image above.\n" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "id": "097aeff2", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "labeled, _ = label(mask.squeeze().astype(int))\n", + "composite_gt = label2rgb(labeled, bg_label=0, bg_color=(1, 1, 1)) # white background\n", + "\n", + "fig, ax = plt.subplots(1, 1, figsize=(4, 4))\n", + "ax.imshow(composite_gt, cmap=\"nipy_spectral\")\n", + "ax.axis(\"off\")\n", + "\n", + "fig.savefig(\"fig1d_nuclei_gt.svg\", format=\"svg\", bbox_inches=\"tight\",\n", + " pad_inches=0, transparent=True)\n" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "deeptrack_fixes (3.12.8)", + "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": "3.12.8" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/tutorials/1-getting-started/DTGS185_fig1e_GUVs.ipynb b/tutorials/1-getting-started/DTGS185_fig1e_GUVs.ipynb new file mode 100644 index 00000000..e9e6d046 --- /dev/null +++ b/tutorials/1-getting-started/DTGS185_fig1e_GUVs.ipynb @@ -0,0 +1,460 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "id": "b039076d", + "metadata": {}, + "source": [ + "# DTGS185. Figure 1e: Simulating Giant Unilamellar Vesicles (GUVs)\n", + "\n", + "This notebook simulates a two-channel fluorescence image of phase-separated giant unilamellar vesicles (GUVs) with DeepTrack2, reproducing the GUV panel of Figure 1e. Each vesicle is a thin circular membrane shell partitioned into a majority Lo (liquid- ordered) phase and a minority, patch-forming Ld (liquid-disordered) phase, imaged in two channels and rendered alongside its ground-truth phase mask.\n" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "id": "42149fe0", + "metadata": {}, + "outputs": [], + "source": [ + "# !pip install deeptrack # Uncomment if running on Colab/Kaggle.\n" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "id": "57e042c8", + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/Users/cmanzo/Documents/GitHub/Environments/deeptrack_fixes/lib/python3.12/site-packages/tqdm/auto.py:21: TqdmWarning: IProgress not found. Please update jupyter and ipywidgets. See https://ipywidgets.readthedocs.io/en/stable/user_install.html\n", + " from .autonotebook import tqdm as notebook_tqdm\n", + "/Users/cmanzo/Documents/GitHub/Environments/deeptrack_fixes/lib/python3.12/site-packages/torch/jit/_script.py:1491: FutureWarning: `torch.jit.script` is deprecated. Please switch to `torch.compile` or `torch.export`.\n", + " warnings.warn(\n", + "/Users/cmanzo/Documents/GitHub/Environments/deeptrack_fixes/lib/python3.12/site-packages/torch/jit/_script.py:1491: FutureWarning: `torch.jit.script` is deprecated. Please switch to `torch.compile` or `torch.export`.\n", + " warnings.warn(\n" + ] + } + ], + "source": [ + "import random\n", + "\n", + "import numpy as np\n", + "from matplotlib import pyplot as plt\n", + "from scipy import ndimage\n", + "\n", + "import deeptrack as dt\n", + "from deeptrack.optical.scatterers import VolumeScatterer\n", + "\n", + "\n", + "def seed_everything(seed: int = 123) -> None:\n", + " random.seed(seed)\n", + " np.random.seed(seed)\n", + "\n", + "\n", + "SEED = 234\n", + "seed_everything(SEED)\n" + ] + }, + { + "cell_type": "markdown", + "id": "35ee9b38", + "metadata": {}, + "source": [ + "## 1. Modeling Phase-Separated Vesicles\n", + "\n", + "Each vesicle's membrane is a thin ring, partitioned into Lo and Ld domains at fixed angular positions. The partition is generated as an exact, hard-edged 0/1 array: this keeps the continuous array's centroid and any threshold of it identical, which is what lets a single position-correction term (below) place both the rendered image (`dt.Fluorescence`, which centroids the continuous array) and the ground-truth mask (`dt.SampleToMasks`, which centroids a thresholded copy) at the same true geometric center. Softening the boundary for visual realism belongs downstream, in the optics/blur pipeline -- not in this generative pattern.\n" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "id": "b95fdfc3", + "metadata": {}, + "outputs": [], + "source": [ + "RESOLUTION = 1e-7\n", + "SAMPLE_VOXEL_SIZE = np.array([1e-7, 1e-7, 1e-7])\n", + "\n", + "\n", + "def _ring_pattern(radius, thickness, voxel_size, centers, shares, ld_fraction, phase):\n", + " \"\"\"Pure function building the ring + Lo/Ld domain partition array.\"\"\"\n", + " radius = float(np.asarray(radius).reshape(-1)[0])\n", + " thickness = float(np.asarray(thickness).reshape(-1)[0])\n", + " voxel_size = np.asarray(voxel_size)\n", + " centers = np.asarray(centers, dtype=float).reshape(-1)\n", + " shares = np.asarray(shares, dtype=float).reshape(-1)\n", + "\n", + " rad_ceil = int(np.ceil((radius + thickness) / np.min(voxel_size[:2]))) + 2\n", + " x = np.arange(-rad_ceil, rad_ceil) * voxel_size[0]\n", + " y = np.arange(-rad_ceil, rad_ceil) * voxel_size[1]\n", + " z = np.arange(-1, 1) * voxel_size[2]\n", + " Y, X, Z = np.meshgrid(y, x, z, indexing=\"xy\")\n", + "\n", + " R = np.sqrt(X**2 + Y**2)\n", + " THETA = np.arctan2(Y, X)\n", + " ring_mask = (R >= radius - thickness / 2) & (R <= radius + thickness / 2)\n", + "\n", + " half_widths = np.pi * ld_fraction * shares\n", + " delta = THETA[..., None] - centers\n", + " delta = (delta + np.pi) % (2 * np.pi) - np.pi\n", + " dist = np.abs(delta)\n", + " is_ld = np.any(dist <= half_widths, axis=-1) # hard, exact geometric partition\n", + "\n", + " weight = is_ld if phase == \"ld\" else ~is_ld\n", + " array = (ring_mask * weight).astype(np.float32)\n", + " return array, rad_ceil\n" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "id": "ec2e5b2f", + "metadata": {}, + "outputs": [], + "source": [ + "def _position_correction(phase, centers, shares, radius=8e-6, thickness=0.5e-6,\n", + " ld_fraction=0.2):\n", + " \"\"\"The (dx, dy) to add to `position` so DeepTrack's centroid-based placement puts\n", + " the ring's true geometric center at the declared position. Exact for this phase's\n", + " domain layout, and -- because the pattern is hard-edged -- valid whether the\n", + " consumer reads the continuous array or a thresholded mask of it.\n", + " \"\"\"\n", + " array, rad_ceil = _ring_pattern(\n", + " radius, thickness, SAMPLE_VOXEL_SIZE, centers, shares, ld_fraction, phase,\n", + " )\n", + " centroid = np.array(ndimage.center_of_mass(np.abs(array)))\n", + " true_center = np.array([rad_ceil, rad_ceil])\n", + " return centroid[:2] - true_center\n" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "id": "3562eb26", + "metadata": {}, + "outputs": [], + "source": [ + "class PhaseSeparatedVesicle(VolumeScatterer):\n", + " \"\"\"A thin circular membrane shell with a randomized Lo/Ld phase pattern.\n", + "\n", + " Parameters\n", + " ----------\n", + " radius, thickness : float\n", + " Ring geometry, in meters.\n", + " phase : \"lo\" or \"ld\"\n", + " Which side of the boundary this instance's intensity map selects.\n", + " Ld is always the minority, patch-forming phase; Lo is the\n", + " continuous background.\n", + " centers : array-like of float, radians\n", + " Angular position of each Ld domain. This is an INPUT, not\n", + " resampled inside `get()` -- share one `centers` Property between\n", + " a \"lo\" instance and a \"ld\" instance to get complementary channels\n", + " of one vesicle.\n", + " shares : array-like of float, same length as `centers`\n", + " Each domain's share of the total `ld_fraction` (e.g. drawn from\n", + " `np.random.dirichlet`), so a few domains can be unevenly sized.\n", + " Also an input, shared the same way as `centers`.\n", + " ld_fraction : float\n", + " Approximate total circumference share covered by Ld domains.\n", + "\n", + " Note on boundary sharpness and leakage: intentionally NOT parameters\n", + " here. The generative partition is exact and hard-edged; a soft,\n", + " diffuse-looking boundary in the final image comes from the optics'\n", + " own diffraction PSF (or an explicit `dt.GaussianBlur` downstream).\n", + " Keeping the generative pattern hard means placement is always exact.\n", + "\n", + " Note on placement: this class does NOT correct DeepTrack's centroid-\n", + " based placement itself -- `get()` is a plain, single-pass evaluation\n", + " of the pattern. The correction is applied once, outside the class, to\n", + " the `position` each of main_lo/main_ld is constructed with (see\n", + " `_position_correction()` above).\n", + " \"\"\"\n", + "\n", + " def __init__(\n", + " self,\n", + " radius=4e-6,\n", + " thickness=0.5e-6,\n", + " phase=\"lo\",\n", + " centers=(0.0,),\n", + " shares=(1.0,),\n", + " ld_fraction=0.2,\n", + " **kwargs,\n", + " ):\n", + " super().__init__(\n", + " radius=radius,\n", + " thickness=thickness,\n", + " phase=phase,\n", + " centers=centers,\n", + " shares=shares,\n", + " ld_fraction=ld_fraction,\n", + " crop_empty=False,\n", + " **kwargs,\n", + " )\n", + "\n", + " def get(\n", + " self,\n", + " *args,\n", + " radius,\n", + " thickness,\n", + " phase,\n", + " centers,\n", + " shares,\n", + " ld_fraction,\n", + " voxel_size,\n", + " **kwargs,\n", + " ):\n", + " array, _ = _ring_pattern(\n", + " radius, thickness, voxel_size, centers, shares, ld_fraction, phase,\n", + " )\n", + " return array\n" + ] + }, + { + "cell_type": "markdown", + "id": "0eeac822", + "metadata": {}, + "source": [ + "## 2. Building the Simulation Pipeline\n", + "\n", + "Two `dt.Fluorescence` optics (green and red channels) image the sample. Each vesicle's domain layout -- number of Ld patches, their angular centers, and their relative sizes -- is drawn per-vesicle with `dt.Property`, and the same underlying `centers`/`shares` values are shared between the Lo instance (`main_lo`) and the Ld instance (`main_ld`) so the two form one consistent vesicle. `position_lo`/`position_ld` add the position-correction term derived above.\n" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "id": "543746fd", + "metadata": {}, + "outputs": [], + "source": [ + "TILE_SIZE = 512\n", + "\n", + "green_optics = dt.Fluorescence(\n", + " wavelength=509e-9, NA=1.2, resolution=RESOLUTION, magnification=1,\n", + " output_region=(0, 0, TILE_SIZE, TILE_SIZE),\n", + ")\n", + "red_optics = dt.Fluorescence(\n", + " wavelength=665e-9, NA=1.2, resolution=RESOLUTION, magnification=1,\n", + " output_region=(0, 0, TILE_SIZE, TILE_SIZE),\n", + ")\n" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "id": "4335ddd6", + "metadata": {}, + "outputs": [], + "source": [ + "n_domains = dt.Property(lambda: np.random.randint(2, 5))\n", + "centers = dt.Property(\n", + " lambda n_domains: np.random.uniform(0, 2 * np.pi, size=n_domains),\n", + " n_domains=n_domains,\n", + ")\n", + "shares = dt.Property(\n", + " lambda n_domains: np.random.dirichlet(np.ones(n_domains)),\n", + " n_domains=n_domains,\n", + ")\n", + "\n", + "base_position = dt.Property(lambda: np.random.randint(40, TILE_SIZE - 40, size=2))\n", + "radius = dt.Property(lambda: np.random.uniform(3e-6, 6e-6))\n", + "ld_fraction = dt.Property(lambda: np.random.uniform(0.1, 0.3))\n" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "id": "1b874863", + "metadata": {}, + "outputs": [], + "source": [ + "position_lo = dt.Property(\n", + " lambda base_position, centers, shares, radius, ld_fraction: base_position + _position_correction(\n", + " \"lo\", centers, shares, radius=radius, thickness=0.5e-6, ld_fraction=ld_fraction),\n", + " base_position=base_position, centers=centers, shares=shares,\n", + " radius=radius, ld_fraction=ld_fraction,\n", + ")\n", + "position_ld = dt.Property(\n", + " lambda base_position, centers, shares, radius, ld_fraction: base_position + _position_correction(\n", + " \"ld\", centers, shares, radius=radius, thickness=0.5e-6, ld_fraction=ld_fraction),\n", + " base_position=base_position, centers=centers, shares=shares,\n", + " radius=radius, ld_fraction=ld_fraction,\n", + ")\n", + "\n", + "main_lo = PhaseSeparatedVesicle(position=position_lo, radius=radius, thickness=0.5e-6, ld_fraction=ld_fraction,\n", + " phase=\"lo\", intensity=1.0, centers=centers, shares=shares)\n", + "main_ld = PhaseSeparatedVesicle(position=position_ld, radius=main_lo.radius, thickness=main_lo.thickness, ld_fraction=main_lo.ld_fraction,\n", + " phase=\"ld\", intensity=main_lo.intensity,\n", + " centers=main_lo.centers, shares=main_lo.shares)\n" + ] + }, + { + "cell_type": "markdown", + "id": "403e07e5", + "metadata": {}, + "source": [ + "## 3. Simulating the Scene\n", + "\n", + "`n_GUV` copies of the vesicle are placed in the field of view. The green channel images the Lo phase and the red channel the Ld phase; both are combined, given a background offset and Poisson/Gaussian-blurred detector noise, and normalized. In parallel, `dt.SampleToMasks` renders the matching ground-truth phase masks from the same scenes.\n" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "id": "60652042", + "metadata": {}, + "outputs": [], + "source": [ + "n_GUV = 5\n", + "green_scene = main_lo^n_GUV\n", + "red_scene = main_ld^n_GUV # satellites are Lo-only (BODIPY-Ahx-Chol), no Ld signal\n", + "\n", + "green_pipeline = green_optics(green_scene)\n", + "red_pipeline = red_optics(red_scene) # invert the Lo signal for the red channel\n", + "\n", + "conf_pip = (green_pipeline & red_pipeline) >> dt.Add(8) >> dt.Poisson(snr=100) >> dt.GaussianBlur(sigma=3) >> dt.NormalizeMinMax()\n" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "id": "f1574797", + "metadata": {}, + "outputs": [], + "source": [ + "def binmask(mask):\n", + " mask = np.sum(mask, -1, keepdims=True) > 0\n", + " return mask\n", + "\n", + "\n", + "green_mask_pip = green_scene >> dt.SampleToMasks(\n", + " lambda: binmask,\n", + " output_region=green_optics.output_region, merge_method=\"or\"\n", + ")\n", + "\n", + "red_mask_pip = red_scene >> dt.SampleToMasks(\n", + " lambda: binmask,\n", + " output_region=red_optics.output_region, merge_method=\"or\"\n", + ")\n", + "\n", + "pipeline = conf_pip & green_mask_pip & red_mask_pip\n", + "\n", + "green_image, red_image, green_mask, red_mask = pipeline.update()()\n" + ] + }, + { + "cell_type": "markdown", + "id": "10cd0e89", + "metadata": {}, + "source": [ + "## 4. Plotting the Composite Image\n", + "\n", + "The green and red channels are combined into an RGB composite (green channel, and magenta = red + blue), shown with a physical scale bar computed from the pixel resolution set above.\n" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "id": "0383d9db", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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FIGgBnXA9PEc+L5+zrl+gkdvt1kyezwa8xB5l73Ht9fMB7/k5PzpAPn9+9gK7Syc+xk2mjGMz8xBYxJSZZl1gOWA3pLZsELCHuXUxsAAAwsmqeJjgX9x0syKM19icU2967om7RMC96+4MEIfuYFB8aV7MCggypNc0Qjh1yLLEYbbR17FRcRw94T3p2t5P7eZYLxFczoP/FKlpI2jaaGlHFzEb2gfULXGKd0uZhziZPZ27zs/OoWE5uMyCxwa+5ui9oTS4vdzaSAJcJqiaQZazG4/X5aHzmS7LJU5PAv4yu9F44Hx+35MgQ8mzdV43WUQgwIGPclqTLbqg2X9d4F5+5jZem5PWTIxSFUyRTL0EVEB2SWbG61gZsPjZbO1mxs2BwXMi2IhxNTy0YtlJ+UUAJlu0PCRIs2CFjOP+8+M9bbfApPto0nEgGqjaWw8yS+RuMwjwd70nwBVUCKwtYFaaA82bm9mylHtGcG4DU62BhkzK7GxqynSabCpyePHNcxcW2u7Lb+W3ct/fm7Vw3177VwMuzQpel2BF0LI8Lb33mwOYzND7UWaz50N7sKTnoPT9mzkO7T7gFSoIDj02NvdHrP0cZS0JhPBJF5AIax28jSyJYMPvcFjbiLwEXm453xXvkXuJ28NZQZXVHMrD9lAO28Hy1UMEfP+1K+1r4OnrLpICnwU/vMASh5b9ge5sYCTA1AB5M9/Efs/fERLgIJoySK6JHwK7LKPPWAyzD5xe3DaxUj4L945gRtDlWvic/I45NhXb1nrtHhzlbGbtn1P5rDsDJPuMfSA+T6bZnt1D3PNdH5m31cZHB0g6yuvbasZ4Pp7tLvKhPMXZOO3qzbeMBifcpjjxyACI+utyxccIGJba/cVutqfw0JvpsFi4cSwYuoicUmQwBL3D7uApzI1jI9nUARDfX8p8mE27KUF4KAQArk9Auc3myZJd0GGxGQQ+CP5B0BeQBrgHq0jsk43KYneTsRHpctJF7reyjJFB1hLOzIySaL24KZ635wh6y8UTc5iHcnO6KbfHWzt0N/2NG4T3JLtlo9ZyiHvIRqSsIguzZOdzZqDgfbzOLaANF1xiZlw7GJDBZJ8Y7LjahGDRWFJSwhHglsC3OO0JiLUJxGe+HW4j8NEk2KLDybXy+5zslj3LrtzOt2ZoPBOwwLv+zvvvpl2jEcLG5D0IYBxwBGExyvK+Lrg2m3wEj24ot92t2THrC7iCw4qAw+cSt2wCyvBwXlbvT309MGSbJN1sILUqWSfXBM+ZAEdDg+fJ82KDWamsg+9jA63tPQTBJnlOlJa8LjAQ3X/YEgQPS/I14CIChBuxCxiFjNw9seVB3MUmZS0T6Chn+W+yLk5Nad4aA7i49DC5dgj+HJAkAHyZ1XFPLicx2ukceJ8VUb/4mn7+JqAmroHOL3uLA5D7bxlK8Ju3axnOgWLTZR/rhf1cgLLJYNs4JFjzVlUccnzuZvA9DOZARc0pKqE2KoeKf/OZ2GPCasP7/RQjbaOUZl1VWIsMXCgLyAC8OKE591qTAXI9+/tcv6X60pt0ECQJvhx6/A6fmf3Cn7HnqPJ4Jh8eII2+NEN4gMetrMcA5E1dAc/B/MC06OKVU5SkNAfaeHhsKvAZyodrR5dsbkkazy46qwZISoI1/t0ykkxkC+zHMr6M3sSKGYo9DH2Zx9mTmeBmST2MLgxOL/6MDc1JRwZrN5CO3iVOKcuvLOv4nLw+lCTwHE5MgXdS5jXZo2N2TLMxRIbAF6cai5oFbQYHPpwB3/eCfkPJmd02PgtBjSBamxxk6pR7T+uTm9hrbbMBwQlNidlHF58Hz6lJAIY6wvsYaGmG7RZ/LHPG1syP7I734fOyAAku3B8W5M3uxtdjc5MBsRh5b2ERusqksUC3ZEHtYOCDnsRhxTdZGBuHTU9QsxlAg4egTEZAA4TDC+yZ4AKmy4bnMyXboGKBHjosj22JLnETjSn+jODiZmpW/zuXZROviZLb3wUjJNPqsqHVxIbhvXg2ZGk2bMgu1iE+53Ypb+XNv8PvmQnvznEAD7FZ7Y5Pi9fPc5RBQfHTxfvynDiECZIcHmQ4YsVrkdbFfWWds14IfNxb7hkbvOK0Zr98t+8wAP+s3X4Pc7Lg41lmB8/OUn0oHgwwBGiOsc8Ol4PrjmdFsCCYWBnRka5BlQO1O1uu0vywcQTeWqKyMPvmfvdruelurpWLAZLAVoJVAAxAk4mAzcHtfmo21wp7lABGZWZi0E/RdAV24zCjf7C7GKQ5SG3ULI2vRZVBGe2B2a+WzaxHEhw/+9QGNkpJTwOLIAyrpg1YivtNYDQ4AskBT310gKQr7SlwHrzhbPp6IkiR6KLk44ac+7PBikVFmssXH5iTktSexWVZQQp+CrqBFw3WQEZAMOQLmK0JkJoMy00C5a0LQFugftt8bWgCbu55V+6aOzMigyxZST/Y6CC4siDkVYFNgd+BS6wR4LnRZrFcz9oEHkQQOa4uoFoCe7rmIcS/s5ArRYd/1uYQ78dDovQm8LkJm8SK+rnshl080K2PhwwVaWkDm1mim8pG4/XZ4JbELOYmGhYcNpYltoCLXEAbNAQKgiEUkP3qRud64U+6yCgFsynEZ6T0JKtjcbLB2UjcO66Hhhkb18OAb3BbSjGaVqW/YrvwC+Vx0nQj02QjkxnyTYnfzddnSbBg4bvxKIlLlMKW1Vvgo9IzxtYVSsC0Mw59qg8A3+ydQJg0GNkJWT7W5gvPgGDAZ+OQMJA12bghoAFXzAGdgBtDP5LrCO582MykzHQS3/MwpzGzvWfrYugcjkAZBGxoL0M8+4fy4KEM9Yl7yHMmUEmJIgiCqdJsa2IjE/h91v1iyct9q5i4zSEgWZpP81bm41wu54t4qpkqDc0pEhauwb1Bo/M8GEjYP1Q04PhkUmaRu8gibaaNZ2EE4B4qP9bC2sXB7MEo9DgYZLjf0tsIkNDUpijx+X0qH+4Jh7/7iG50Xn9tprln2CeZXBikqSiHi7HDLHzdeXC7VhJW4TX4+x7ATdABwX+BEEhY+Kn3ja9a7Vi5tAcrQnH8uO0fGyAfXh7cgGSQptcZdPaHvbSHitPZWesCL6qpvlSEBNk9fcAo1wiyBjFKXLCFLrAaMyYC7hiL2hO27+008+DoXFHGmqGsY+lPvZkMwdeuWxud7Rpwa3ZRgd2X/OaaKKHMjMFH2DxLdNWlWzQXAzkBxM0NdjqcI7D27xmR70OXjGSCQFveOVtsKBdK2wTPki7aLugGu/0uTlOy7vXkQiM4sjC4T9zfetoahMvspiTztVO6ZVAnoF4CCDdTgnYDprQLvMh7TxOLzVvhAALsGrxHN+HMSiyR2ULBuOykCZHBPy/P0Qzg/5CQAcDDw4MkTyBLfijPjODlAUfMmKN0ZcGyFuD5EeBd+NBcOfi2owGVz082xcKn1KdioarwWmkUkLGt8bkrS8AyEmoIwZOgBb0jYQczVw5P4BmCJGVtF002Aw+vWbZyXIJv+TK9uEmfh+do+oExd4HtVo4jn4X7QiCuXLtKnzJIdnmvoeK0XXnoH6Kcm0twEqfI2PksZrM0Azlomj4aL2CzJRobPD82t93YORo58hmnoM+A/ddMljXm5102r4XqhzVM4KOy4P0VYbRHA5AwFN+7+FxS7cbAGaXbLa+R4XVrHCxQF7e9a8TeAB1wgjJc6HmRcWHiw6HcB/xjgIL/C80KCADcM+E270nylm1W8R70BcbgVfKcuP7KoBDfHrvSjFklcAiSpGTiRXee7JxYwP2rhwzfZvRgjrX67Ma4nx8dIGG3w/NyE8EnGnaWZLeH27If9xEYKXmz7GGxc/MMmjxoWus852ENniJNY5oyfE5IsJSPmWnUktzTZheUDsi0LF6C42P7eKWMfJ4/m91yUtpZg1tFM2PcfMiWv/D1wBzbS4TG9cXNSbBg44hhrFH2eXMJJH1kGD5ogsgaAYQ7xk0Xp+qi4SDOUgMsAYgqPBetHFE2dROgOyUv7+VpuT+7GQHhn9onr1E6xnooh/4QXU5AeXiPPFNi8ByAt4sjaVA1oPJZOUAI4ix46RhJfK68Tl6jBljJz5QhBBGyNgItAX3q7KrSSedX2Nxk7Dwbm1bAKmR8lLBtUE0sXcsp8GfIxRyklygduY9iqM1Fyg/3xNKNxhEbGQXW2gcfdIusgsNSQB2+5tIG6R1IJ5tpHMCUhBWTtUHYZxcZbiwlWm38lDE63X2Q8b1uqhGeC2RtDvP+7Po4jaeg33BQw7OkSTjvA8Nb99f3N+A2rUFPnBl8MxsI/K6Ule5QPjeffX9K4pfLi4HYQwGcjsMf/BgCcx9ULg8ZKi8OU7LBZfHz8PsEcgPk3BqsXG/JBrEiW7pyc7kJzDNJ/FYuTWC0ZHgqY/pLVB3EqX1k1EYCDnqyU3A/GA8t6W2sk9oYpPFJb8CqCMoUODBsA5hJMC1QyVHukjCxp5fV6/U+r0F38+DqIwsX/tgnx3OY4/6LvC2uXxIe2Q5Dcz0wuNfcf14D1sEv6y/ly+VLMENKVmlUe+yBMeAsMdZuujYIPzxAQiZlkUpRQDFCt3gI0P223MaH3d4zk+P56AZR8QIv81CC0JonuAx5unps1uQqiRsRPEl8hsEg7OlK9cjJ1rzKu/u+ffdGf5m/lE/Tpyix15vIIMjW+iZO7F2cii785mTjRFwPnKkJ3iBZGg+ZTmTlyxFkDK7ZBKg4qdgn3w1s2WKGI4G8ScJ7LiypI6LgEUz9b/lNMOD+1PcB+DZA9hkg18AQuY+8NmWxwDtNlxXGfdBmasYk1NHGxuL14CrS8XRxAB9wgpIFEcSTQ+hnahJLXKJsYnEpN2tCZimJHwAfiCE3o0Tjro9yMBs1Nr2STiH9Z7tE95vG1PSuFuL+8xxUXpFlJ4ePw5AFD7WmdrqlmvRRTrEJPZRhT4Cxzlm2jQFtWLoNbcgbUThdtmiaZJdZiWLyG1X/ZKVjuQZdpAk+pxkdpRmPlsM8YQDx4aW/8vaAEdjIZtDgxZfFwGVmSFe+u3g/2Ji8F5xFCP7cm5r5mlUR6NogmtPYuh/uZQ8QtNjIEvohdcMDPc1lOk7SbXhGfNnFBwenYQh+fgoaDU0K+Ydbb1ltFTdebNZRubA2gKjE44YhDqWyBJyz7jwMWIf2CrbIToXQtkb8nGcAI4R1V3FbsnDuo5Q68NxdQBOsY/6MA9dewpz0OZ7HGLRAnl2F4TiAOaiqIqY2I80WE1Kp10QFxvr6Mn0xDsC7Jrvlvgkx7CazYwKqa7o92xvg94UXPjxA5oap+JqbjOufgubA6Sp3rN0so1jQ0BYsg5LEbQBq52tZVomfKm3WOZo2QJFDyOoqRqfKZD6Vl+WlPC6P5WV7CdrApQmKxRIlljSAJgnjtPiTJgHVhsD4df1avq/fXaw8oJvhJuR2yxSE8qQRxAoMvEq+I3cpg7gZyhxdNln+lIHtewlFOQpA7gLntCJAZqePH7I1KRp0hunglbOlD40DSniCmt3lsrq52Gh2O8slmjgl5IouXH6qzJLPDQeuP0lN4XfsNPeBBbEhzNqWKPMk2ndRxpOxcq0s9sft0Wvi3glrrMGdNAsDjtgNZs8cdtxjVUPN5vXZYYZusiVBmJLYmD7751K7Equ17KF06hIn7gaDJDxM/v2apQLFXFobg3R6rTigm/AafRf3Cz4n1BiylPlsY00lEJt6iQ685PFspHC9NZMW800qE1kodDKxVGhdBGgYEzQNtuCC2jjp4wCVLwhWR1OHa+QZADHAGti1USVsZzMd5a8Jrde1xJ7iudyXe/XYPCtKQ7A1G3rQflASESBRovB7ZGp9NN0uNxdVUKw1SN98E+A8RJA1bus1M2Yd8fzIug2QzT4oNk3yOpfGhg4wDddJcJ6aKUj0l0w8lndcvlYK7EUqskqXMumBEkamCG64RDNUzjOYb0IlPvUuMrsq/1S5lvFBHBJyeBdNPuJIpapVtRwNH7mYU+fr8vtKlVMJZxIg36kYrGEucN02fz86QMJ5Uh2ynqJbvcUNIjDw72ZvlF+kwlm+1CBjtlSle1t09Tg52ZhG+GxCiOGBPSaJloVVN664zRR0DXl7dL5h74N9be8ddIFfcDjkWwQdMqrmrTzPz+X79L08To+eRtBIWMRiiCmBInjZaOK91ikWD9c2RNZTMxOCst1oSKdI0dqg4VC2U0Ih2rdESKIsB4RcRRo2ZQwJGxsXU4zmvWspURx6QgL4NpaGoI9UnbSZEME5P3PlSvLFc7ATuwVB2Q7e0IVhyLSTvE/ThZJQfKobJA/TOODzKRtsJhclwQ+6j8YIU3AkyWZpYLDZBMDJyHLh2xhJfqJVQRK6eeZ+VppJqCng/Q3xfO1I93HfVUiBfSItpQMKsJ/yxSrH5DOZhY6LBgnIRc00p+iisjbJiDmoIh5F6c6G4M9UGmWVUNVQXJPcW3h95aZ8Lp/LfXMfmTGdWxpcnJkUEtzrbQ65Y59sAl4rNdcGALDoxCI5+IAUallf1VqVJ2ypiHyO7ywl3TM0uKDRPTWlf+vlA4sBQtMatmjm7OfS3XZluQk4Av6pd2/eBUaYIg3LZBqKqEjgK3Jgcw+oZsboCFtOk3Uufblf7n0e4HqnKfY6GWPV45sxNscQd2AGgzy4eQ2aWmLkZpkckKn4kphNMy2be5TO6v+z4uF3K2UHzBTskWfw0D1YRdkko2zOa5Vbi0y3D+z0uI/3FsvfnRQxuFb75PDSDefwvJyFKsxoPzpA3k7Yx4Qag1ORB0m05mYpTk+6jYuDTGY9BQC+RUBzMc7RbQXH4EESIHmANk8ymLHAyJwsL/O0dwOyUZbMWlN8LkZDmZSlm/hPArSUQVA0uGGU1HTXlDGuIXPkmg1WKXnkRrJBLDWXxiBFxlODlaUgLH1uLqUgAfKcTRA6cusiuI2zDh1GT81dY1NGTJUO3hYSK006oDhA8l3itJNLhkHGcvIzc8pTmhEkxSCzrIpPHlmjOlsyc4B6cCm+oUTRJWQjt7GRObwIgtz78ynMPsxm2yF0zNvezc57ci9rYLG0okyfQqmji9A+5GaWdZSVc5R9Hi5ADWRpfLN4h8DxLJOTtCwhqAvSMMGH15ezOiWlY4pDlPewtOoD/EcSCS2Ga5zuptJ+am1ycR/9TJf44fdrVzugtWAlCKOAS4Ihrsu1i14NPDS9WAcz2F/KL65lDkZhAzYnGxgZIQ3dDJiuTT4vmBvZcqWAEUznxfUvbHGaJZKbEe8iY5VIDaWNe0ODoguMjKBKVsZaZR3BdRRG6YbAWekskzWnwIL7QgeaQwvdPNlzVdGYHaMx3+1CBtreXxkeHBaWotBsKHG78BtgHxBoofOcYYqghrL/FKR28O1K82K/kZWxZjWQgdKEBnrZmQDxbWNlv0aSsSS00m9R9vdLqIzoB0ybkmKCK/SoT+WT0AOwgI0fsvc1mRc02MB7ae7BD0Vo0jVBB9pdPDRIXqye0IkfA6pAUgnX1KbSRwdIZX/lB/ymzSzN9lUxUBIs7B5RTnIyJweQGyNpmxL6UkzZOeXkzHVhUfV1/7W8Dq8uVGyQdG7BeoxyuU1cD5ULXb50+DDw5iJXCgWBtDm7MV04N2dVNmB8biyIy3wWMrk+g+PaB42kSZ15OXi9vI7GDGPSLsBDuMlkxzSV5iz5gKsoZchgllPQYk7ru5kHScEQ1yw1hJMPTI4u7JyWY4nfkemScUhwbfb+GdJOu/J8425C4wYoANoNzbA8Udn8UlCgYgz7oBm1EfgJyvAq2axkI3xmSkE5lLibNKPvZXOr3Xyvev1mS2RR9NPgUO7XKK/BGud4HpZ2UIMot6H5cJKPJzPVSjaXj7oGf1UuWn1dMps8kJ7XZ++hGCWlNV3yITa7FUjy5LDh6u6D54bdmRjgcb2S6qvkrjaqrl1peIqUicgZCe4/UEeqCQvrUngHelUfIL/YOcH7FBmMXEgOezJgpKvwTDmwUTXxTQZIaUyFcD7LsuDzs2E5MBUZ/ABbqdVPTwKaiJhW6OJE1QKVhm76EPw+Ak3NUiXGw2elQhtDUz8/JJwAjrd0Nvv2u70yPhpGv66/lk/NJ5+xfGUySmhvyDlZE5DlM6u9XW5D9pr3S9x3mFWIsaZ9zvgNnM+uZQ77mrnLLBgyqPN74Orp9GPJ3F/8YZ9xvQR3ddynvuzP5tTeez9f7nGxcMjtyT9mTfAZlP+Cg/eXMMTZhR2cenD6kqet7F/3pXvulDaa2Hx0gOQBmJZXFUfqSPkApNn8t4p3CIQu/bX9TtoswZwOb7XgSgmTZcjwWP64+aM8757d4Gaj2XhgkZCxSj3YJn/XswmyK3STxKkk2iah2pN/N5XT4VTeDm+hh6aMWLPVD6aUigBPmIpBNdkNXtMijcwPTIUSgUNH5CAsq8QqySTPQT2Q57eGjZamCqiDKDMA1YFD1iDOK5nDWzCDW/0Ri2yONpJYNAZojCYgYedpLIkaDLONbqyaa4jSiadVnp3UFz5L010zBnlpSZ61VILChKSrOp20IUlTbsgG6fYeUhKkaSqtcVBJF+IADGeId6yI68sKQgsvsqDtGLxCDqEl4IlKB7IhVyuBrQlDhuTQmWmvGdShwQxReopdESgOUebboU01UFVdcM3yF3l2h7b0t33pbsKFxmeD/ygHNiTvrg0Yh2ZBBjjWqYcBWThVSHeWPA0JGh6h3E3WB3pxOrR0VtEiJ31ErTfsDcQQ59bsxU2PiuVwcPO6rmkWkX0SINtQ/tRGIvdBT4ExDqmqJLO7SzDgm0bYlBrw3C9my9yf22geEnRMAtpwkfq8fi5fli/CKvI319nkwAOADC9hArN9mlNTKm4QeMAE6YLmBvtCcwzWBaXtORoi8iGBpsD42961530BEgDSyKaNJW+qZlx3cGk5PNM2rjai5FODHW5BqNcvgX5OMmBU5MGCSKGBumugLQ4I+JkEbGL261rm57mMT6My6aR1fmyAXO8iKBAguOl64qGIINVdItWGikOqzU0A8DXdTl83T7vEGSs+yOaGmIplET8sRDlca5Q1lNxSFCjll6OLj83GDyA8mVWEjgxuaDCTrFuZ97b3sUfD4w9KyzgYCMgQlLXxDdO/j4AshWRLnWd6Tsrzw/QhKQJmyeh6E+Sv3VehgPRoFJvq8kS+xDVq+EBJA+DM4qJhQhbMdy33WEjgdeBd/J05PRrxb4QPih8kh0B2g6XB4G+JRG4LizGNFMjoaM6gsgEfbpIyBH7JAsqGWZWk8RnF/7bYzHoRjkHK5xppktHtdQHyucmcCLh4JKKSQKnQ7A3efA7NGoZQpVRVlKqLNBSR/jW116BCJkJgoKLgeXzaPllyCU2kD6EGG1iOpZ2cnFVKrjXJ+mNAIVJfoHfsO3FKnJs8NGksTCFTrOofsU64dXDyli4YGMsx1lx/LE/7J2llT+NTrMctA2yW1FZWybUTVkljDoIjVCmyIWz/PKjGQ5SHmbnasEqDB9asNCmCOEkIZ8IuK4/kclb1mN3ZSxcKG+71ZRcNruXO8lQ9/U0kEbI1MIe47MvddCe0ZfaefEI76UmRqhzeaniyJbxlHwE99ngurzev5fnwbIWgKS6HHgct2fO8uW/ILLm3UHBoegmpcM+yySNEgTqvHqxpW6gBRxt8ZfsJEMiBHlJmKOLPIQa8hbsQL8WaAlIbI2GQioQVXMJQwC7AFPPbXHannffNPfvRARIHYB6M+knAWLzhCOaYk+a3RFacM8gWYegTFDP15ZSi81e7k3aP1wBpPQHL4ImnXVq5DT0mPLN06THLIaOaxyiDMHJF8I4Yns4uOFaSRLmhNjM4jc5JpuYkB2zeBh8adlMEWLEzGgZDsPAlhU/RkeVB1eChEwl2TXNmQWSu+b4sIspYSjOz6F1IofgiQOqnRwZJF7nJTAxgn80E8TtVJGKF4EN96EotR1Pna5aLhrkfgtqxLWEvBQ8zzQtceOlxqFwzKTGVzMzGUDGBpnw7xf1a51ikeGSSWUOab5Nqk0A6IPrz5VkeH4tQOkgJ1oKZVwZqs6Ry8H7wLIEMhEUIHGka4Z+hCoKYTjZAPyUldpSWdPLJXqX9UKwAU9BrSEWEZO8mMcQlVER2dXfRPTUzG8KJHvxKuSmNviYcX/yhMbRmBZGGy7U6IVAbENbZrPH78N3gKHWqg8cS11KttLT2gm4EF3MbI8uF55mZH2tCh25kdkN4PJrVpYWcG5z7gayP30m6nFAHSiygJsjiyfowawa/RK7IzQPBaFYrBzJETCkMeLswgPY9SGxQhp3XaODBJkg7sepZaWVCRg8mWg/yXShbaAhpydYdy9PuST4yf06iAoZNz0A/0inKZf4u2TDNG7LVCglJGZuCiSGXGvkyyVbaBMql7U9XuKx6B7D+9ZUFoetC146HAhCXScmwyqUEq4aLadbKQZ2NYQUJzTEOjmH8z7E7w+NP6d+SDZE0xXSBw7BPYrRA7JzOMP0YLh+7iPCULPw9O4BDBtL0eIToyU0Cf8RVhdPPUwMwP3XTZAxmHVAqSvIDCUhNEHU9AaG+LCmQP8bpuzvv7Abye1wXbi08WHhnGr/SVMoTkQXoqQU4PwZ51SCTigHe305dOnJfZYFJyPb1KEfXS7hrL0vI4Fj46d1o6blG08BOfonmDQeD3d9hMSNjcZEVEMjJyDwZMZ0Au+P0hHZFh5sNmi5KYsRrGARrYzU3ZveW+6W56o15fpXbKSUIM49miM/dXkKW2QaIDvUH/in4GM8Lrp2daumUkY3yw+9z8PBewCt8JqGNVFCIu2L9BsF4WdywZBRSQob3BhAHAF9SbUqS9nfBvyWQe4+AKPD+RLW1D9MSy0Ng3xpYkkIkF5PrI/jTYBjfMxY7xzZ7A/5Qkje/xbiN5lH4B8zNw53SmEwoqSPy8aiQlj5I+KAOHIS8FhrkfoiqiS4yPaNDmJwYfPiGQkWyiIExBGj+iWP6kn6VZLcQnzHUSEWWB38XjR4OIZ/z2ii11Ze0vfHzsQ55PQKVsjwac+CmMDbQp/NMxqg2qitRPcRtMuH/2Z0UZkidoaoqJ6tE1hPPjPUqF3p/8DnaNJmCCcFzEEKbj7FG0I/PgRFzmGJfyGFKUwyanlQtutk0bPvIpOXdUjFykJGhY7KCKsluYynlJS3t+lxHYI8prND7YQzZM5UA2LkJ1pSUrY8OkJ9Pn/0Q8p62KKV5OAKrANBkO0kF0Fm8jwBJRGdRsKkFjilVmeGC+Stmu5foWt293el2Q1CwlEADu12uWZoUGDLUeQllB6cfmt/UPFd5n+axgLmn6OyygAmU0Cag57CA7sd7gWsWHwGA7qi6Xbp4u/HqFUlQ13EIJQ0AMwqTKRQAlRsnp5MuI02SDJJmOJDML4FTXjc6/oLzWT4nn4UgUmVy1RyjNn04MSnLAMoB2oUz4JgOQYCnmYFDNdcuXy2zUDcSZd+U2CgddhZlSvDq6IRaHolHEmgoS9vmWsrJTJjWMMXdvjm75Xl6dkOrnYZ0jmyMZk5KLsn8eH5mZ2mnVlVEVyOJVCVJxcGgJhtfmju0t3ZdbaBhWMH9wmaLADaGya9VA9kxbAJubzuX291tYJ1buHRrSMz8GrwKyRCBFcjs2GR9Wtkl3qySrQ8Vj4RibOLOwe+DEvZ0frJLTpCTn0m3fQmFWIVoxNrLjQenzlWpmpL2xPuRoQ+DWY6O6c2LDSmSjWq6rJtSwiIGFgJ1iUzfA0QZVTHoEpTkNba95rtg/PAfqXIkWFO+0/Fdp8j6ticPN/csJeiW1UiW7tx/1oj3NbPf2mPYkoMI7IBe3W5+lz2GPvTN3P/1NtYa+nDlpGRxSDSPs9mbFnx0uhNbJbunktOPYQ1+ro1O2CxpY2ZwRHAA6yTNNeSZcnAgZ01HIm8NzdMtKw7/UxxEYKaoh1xHPGtw2/8MN5/9tyz5miDMikWtebNpcLRRylS3FjuVffKd+nCB8SQgW2rDaLPOstCVedmZOZKdKA3aB/jKa0jcTQK4jQzMQ9tjtP+HoCcoM1x3QX2ZgwfnJqHMxNL9FKoFbLy0Gitd2GdtZ0nkBGOCFSW+9vrpRVgfhuMT5rCwr3jdlZyexgxuFjhc632YE8x9mJMmRcLXgatIFj5H88JmRxoWVK9Etbw5K6RCGeqxwSnzm/vAaS7u24RdVNV/k31qVLwEbaRmi2b1idXWuTS1YVO9Fr2Py85NV7M+iMBSmNLpRqkluG39Ro2zvjvFVEcf5ZeJdcpjzHlCZBn8mI1tjRkylQNBks9Jo0FaEi7oGHMk77VyIm3yIYnLeT+sN56pkEGJ7rzlG8G0SmAB8nGWSpK4OBuvlzSdWnpXwN+mT9Wvc+gDZ1AtIJsDRioxFIphXb9vv0dDaW28X9wnLco8AaKhaYDtB+8zAYv7yXtwnz1QkDImF5IggRcA/6yNIQ861DD7zsMdHi84PBgna65aj/ks0wNBaGR9tgJ4Kk9WB9wP7i3Z33XeC3BBatxr9cU63MFOaPbBX+ZAI8ZwqHabwfjz/rMD4Qh0FQO0cbJMUbmtO/0b5EoDpw2nMt/OZb1ZdUjyO2ldNib7SHo0U0nXLwMkYxPAveHQrrknCEP4GrBHUmvtIZ/Nr0pf0t9hSGMMaE3nWIcfHiCbrwnM4604hFkFFyzG0h3C549GAc7WlC25qcUU0kizMuqFTqZwdcZpRHkYUj9KxhwfYMeLWTCHdHHp+jh92sF/8rpVzUEQ0Cw1MzeVAVMTQ3vIcM99nBzN4GZEO07ZrwlpF2RXMiVJxuscnnJgkzkLptqCyeUkMwSXTDzLrA5LqiWAZUsrJv01d75fNVSo2tha8kmIT7ll1bxKt2CDpq+f6pPtHGUEfL/pLC3I5gqE3TWm1VFe8hpsFAMgz4gxFHRys5yykbQmJScHqWlGy4aiM4kks4R3pV1hFihuPnNIB83k2/6qEqkbS4J3+h7KMUR5lAdoDTZSNZKzKfSw5nuhsS2N2QbXJJxCkwn7POgnwCjr5CFTlTA64BDcpjUGetE1rgOpsllSDRAqf1RMK4UN/v86bI6hamnWcKUUQcDHYRyLvG4nDledqmogk6VReqcl/tP6T+Uv21/M5Fi/VAdft69eO4GSz0k2yjPgHtEkklQNuT/nOfFeBi3EC01APJa4JbMpGlA88/1FR3euyaybpgOk7JRROsiKiYM0PLs3S2u9SZl1076GoTRQC/ShPvwRKUk1xyCw0Ri5LEFHS7XJkBxaDWUuOfSL7j9YfnNXPq2fPHjZI8JbTWugE34BQjttMgesJkCQ7mNo13K7eB9ktYyRwaphxwhnGsryFhWXDvtTwnHQmzROamUoCJW0Maohpj/kZALoPql24ndqr8IGGVzqbBJ9aIDELFe8ogviKSJ3cB7SbE7rahKqoW0aEWiJ3hzj4aAmALPBVp5ZI3Tgz+eI5mBznMpJ4q1T+eqpDa+PjW+ZBom6PXpCV4K2GuYmunrVC5AHqP/efAi/wzXBeWgdYx/k1TG5k4x4nWOkJotDR6Cc6yFfbImZMZasaWYhJ5AueRMLXvwEjlw8wbCBgxQMlpfBwmxziqyZDVSdp/k7GgjQjcvNwGaXW5pddDaUnMljWMjb7ZvSTh5uKC48zJMBQmjvXTxQs8xI1uC78ZnI0vnvBCXex4l6fZCw2fgOhzpfrvNgHKcx9zFSot/HdEVwXEjHfcAhltOY1q5htmFTBPJ+NiEqsfoq72vfJ8yBmyG1M+ul+zvFgaESBfkawfmS3NOUk6kgSqNd8TI4ucgx+0sQqPsg78sPRHnF1L8lB14FgTAwXMqznGNjZkJJbqmT/o5dlMiaJFMhAKnkzBXu5a/Lr+X39Xd/HpYHX0vxgwMlM+OnYlgvZuF28oFvusjU1aDz3UZzkr0Ec0D1Vf0Gd8/EBLiK5os2ZVXKV71S6Q/AKe5fy/fuu9UR71tpZDY8cNvpIhCKr+dAOrrltZJwFg2JDBDNGqMXHL0x7VXTsTd0Q0/56uEcFDLWDZUH60GH/OYt6GzgnuhKtsa44RqACTIEg4XJlhV/tVGIhPgYUkV4p7I8LmklSEZP5do1ZbyLahCzHOGLsogd63UKR5JgTyzhYOO5JQZvZ54q4sMDJIBummTaUSLFxS0GI9YkuVZOm0TrNbhwFf9gcSpkz5kgEFBfp7CklwWP1pjMcZ2vkworJ0qfO8DotEmrU/kc9DRPZlJmaDSBMFFgChps/ilOZsoBs9OUvulEXsuYJQDha4BOLMau9LqPLmnTRZZWTXJz5IKmGDinr8FfdB5wguPV0ME5NnThudlpoEDg/tE9u87kuWZcdH7hf6bvo0GA7nqdkMjmIPDMxc8mftXtpVV8ab8YvGQJtJPPyoNj2yKwlZBwadLRx7Q+m1RkKlPSi+gO56ntlMPLTthAR2w2Ac8H+ALogIYExHcI3pS423zVz6pAooGTbi8Va9Q8t40ZIp/mTxoN2MmcOk1RtCEbj8GCgE51akr30vlPmztpVVbdkyydxui6+t+6UCLZ8MAS7Jx0IPTn6SrlNeUoVRNLNjHS0HQ+l/NKMMc9iVEaUHLgmoK34zk63XndlcOnWz0jZoElsoNLgKKUdgpj0nfM2MY0e4HEX/FSdOVAUihlqgvRGs2LikE6B2qL2UHcO5uiZLxk6G2O+ehifg2eAKqsciwI7yeslf9fqlofDaQ6ooHDRJs/Dnq8Rs/x/NiLSBBZA0AhYK4akaBAS5oOy9QEaYwKRsvA9tWDUq7jEhhrdafnwKpO5awXslkhvCns2XxO/bvfqtVE6rAdcTKM5eb2ptw+3FplWq5TjeKHCkeVbvk51i5r1sAOJJYmKR8eIOdP73w8J+IdFiU9nEKcBtb766Tml+aLVu1zaDQ5gS2xCUBzltZzaIbJYK42aFWNgKAd148m/ObkQU1bOKdQcpE5kjVQgtIppsOMWw2A+BDEVHlQU8xjqdIyZ5BAGsd3cD2pWuEa9EXMhVO5bXDwHLAEzaC61myZ3XJg0DlLaze71tAJsP3vw4XHzTXkrOgskzX1WPYC6uJN2XipbuXVgKKOvKzuP3ZN0+qs3qPqdVknO9r9b+/FxTQ1hUIEHYl7AqexLdEI6W4Dhx1vYnN0QdKmNPQ54ZWYDZVqQsviJkNik/D6ZKXyPeHh4TzN8Kg19N0GSAIMawYIZAhKEwdZHcsJsE+2xIZ7mB6iVEwnecensglKF3SoZb4qLAiSYEhVslZt6exYYgacfEinCVaVxWVRYmbjDggD+gvTFJMQzdqpE/wsyTN7dP1h09/ceM/FeZtc/5ijIH5AAbQGB1ilEAGriVG9ZIbOo4F7mSNPrcBwsdneVVFVsw7EIWRDIGBgFoEZeeIlJzQmU4C1yPO2g0xlhMlwPguqAH+2N6dC8jpiymn6oLVYJgIe1alTV3bI9xTyyKflyYbMmequiWfGOiQosw7UkVfyP58Fgjq0HaYtItEs4VBVxzQ4wmTZhXRw6+QmVqWRuOEuZxXB8Z0zRtRZR7Cecm9qEccjgnEx5mRSTKDucgYRfptZ+eg4BJ1oefd9sNqhT5LQy4cGyLfPEUiUs7XDNUVH3oSVmZPLwMreQk6k/AuuG+sV12y4TGsYsToWIA0WbIRQqmLx1J6uvoTeeD4M/D5okJiE8gDXmGJ2peJQPqzR9bULm0OnVJv0kRkJBE9zeZmje0gqzp9pIGrqUK7NJRfUtpNCAcYijocmeYws12yWAJU0FDlZSe3wG2Iz2UCe7A7l2iKDtqPed1pbEWj4rDp0M1x+DaPTagRg8GWBJHb141hSbb0oAengMy+7uTXo2JEkY72EkkMJ3ZhzjOEEjmMZ99GpB4dFIcRnsgOPe8wUPMKKr1b5JYEXft2X5ktQfJZG4rh0FDIrOHa1jE3FhZhQ9x4gZQEQzLeDFCvMZDmA4IhKwIfRkAB8NYYlK7ZEZqYIxhs5obGOOhDX4n/4SeY4UQ5eVSyY2YIzwoM9RQWiBrga/1KAZIkqJYwybw77LTclGWZKbGVH4Cua0Ed1q+FQYD1VIwuDaXZ+PVz4zm68VmBIWlMF5mtQbrfJUcW5m5lIjO2YTzErCJca+MSQtuEyTo2uPTAbWJtmyBDMdwFl8WOmisIqOcnuuz6gl9qI4bVtqs3RjKtcSxIKIBwSGz7XhDTXpvDq77v3ssGo9RkelAmpEPhrYkLwNmPrBv0QlPYuURKzpuRLvgVcZ5MVDHbMURTnmHkFnKTnA/0XDHUpQpoYg8whD9zjfOwScUk7sy4Hm7XRRL0qpqAuiULkwYDk+aMD5PH2eMVu7LCmTE3Z2D43YR0ixWlPp4nAxjhHbOaZmofaYonRqGxycSqI5JiDorukOcH3JU4DA/I5usQsDv5M41XMMGn3k8VBHxreDTt1j04zz3oK6VA8BEmZEqIupOrMUo1ZpdZMgYmZjbW3MfQK0140wGnXJFUF3Ee4LAKJJhdkjZUPujWxoLYA6TnVq5qGrl/l0Ll51ihvxFYZF0vmQ3BMN3Uetq47dXTtmp1zNmIT808sa9DGErjeoiw12zxEtiXOVMcwYEuPUQS4DotrCizYLI/xwc3oArcB1x/Cpr8E/sR7ScGidOJ507QAvqj0q+Ucvoqcjfhj0gENrtMVI60BWloYphaZ9Znl8bnSBd6ufLMP957b2HxOxTuHufGVJ5udde3nUGMkBcTDKzvlUq3QU4PLrbl+0mdQZgXQAc0mAH0OiHTbcfQEdCPgDspfVCg5CqF6EcghZK4RLICmfz+4eX1Kda6NBhJBM7v/dVZ0Nc2Qp0jJqzI1XJ3q+5hExA4PGISsl8MP4nQfjRnpXrAV4CAv+8hCEy/mUMMdx6JqCrll5RcCP1RVTaWzibfzWUtk0Q4aQ9pLRZKVSaWD/Th2RRYAyh0SnITBbOgNcS+ddUQzdw04BUzTqpSDcQp4Avz7dDyV0ym8CjQDRk0EFW7duS8rhm4DDBNiGpUo8xKashGaBsnGByAF7nVS7aQCfXSAhHZTR32qNU12vhlfpvEusjXUH/WE9cQBaIeUzN+Fq4aFEl3UtMdSksY4UXwj00xWEB73FDryabYp9YaRo1QmYDmMGe3eTTT4ksN1Tj+8dADy1hDo+ngPZWhkeWRLaGlT040/5OfL5/K5+2z5xwKQP5UjNN2U+XO198q5zrp6U36hm55j/KjZzxrqhW/rt+uDwSzgt/a3q4JANU7Z3Gx0HKvywJIOXTLuKuUmcCcWFzxHsN5UvHBPWCDSOZYnDxhlbltIBvubsA+rJgfit0Cb61YeL4/l6fhUno/PLkqMRHh+2nYg5YRChRY6x0rUUs+GF/w0IAdMmgDzpzWMRXAEook1BExgWYc0bE7LLTiUNJkwK8AxKYdpkcXqPciYC34HzK/vwz0o9fXAOpCCdeyBwkWZS+pDVZ8Nh/9NKZHwDQdx1bsT7MRy02XpOr4VOgmBGeoNgQxsjeeea93nng0RAx4BgEMIIUES1yvNRkJ1drGr2seAzqiOIZyoqkekahDGZSC86PN6x7DtM1ilKYuWXedz0GBoOO06sVfMXnj+rHW4xJTmGuauRw9lubRzKJys3i7hNC4Dg5GraZ1X+YTV4bzHFb09WPF86j+92+a1ARHxd8Q1d0GV4tDxG9YH92nICMOzyYOiqpd4T/ZMhagkmqPjPk+aA5NJqjaD0UATLZ3277t7kwVeT69XZglNT9ERh/0DTt5E9mjy0b2LDwyOjHnB5f+jA6QT8sgSYMvjWoNHI8BxfQDng5ys3evOzalRapqLSotBbUKqm76F9QHZXetig8tfQh4E9sSMD+7xefD1xCWxTupWjXThgp0P53DvoFShs0lp+bKV7i1md195bjQMcGaBrkGpuQ+dcaWNUAqyUSj7UAw5g3sO2pElWfIfq7u4sTjnTWvLBZBOR3TNrKVOu0tnE7PINcjhBJTfm9+FCHhPgxCqoS2684xeIKDWMlG6UQ4/4qsqlSyN4DESHFFLdCdnvjyWRzcWC9illdQZ7yuYIQqoafEZsim/nb6Vb6/fysvxRWzoSqrekoI0ZqmcM02qm5LlDnNZEgKpHpPVYBd3HTNcsgPIwMwyoUNJoKGph/lJYpQyANQdpiFxHrJ1vhFrTzjk5hxO3Jg0g39dojTX+Rwp6z4c2r1Vde5bm/OIGPS0naxArBwy26/Xp0HCD1ALmbLMiRJOTa7XxC3r32Hte5DQCAR3bYoBH5oNz0Lj4iGCt/AINCkwcbDTlDOaPDC7hzUD02JLizls8vpsLGJmAoeUccvnrbxeXoOKBl+3ZHXTb3aanSleWqERGkV8cRCreKPjDeyVHNC6D71XWMNhatHdBPmekccl+ZbjjSWw2f8cpiRmlDSlmDLI1Ef09enZStBSNUOSk+oyDjiNT9qkA6GIW1r/vj6NSAtJvk5R/Yi9kvUzP4f52JTHW1amIBZNEstxE5rOrj/XXWLowmFpLq2yqnkfjlfj0IcGSBay4xYR8qdproO74NQBUB9Hg+P+ee/MCjGgMTAqMZRUUFQyquTiZu+p5M1JSsH1JO6Ssd8FgdYSOg15KRGRl2GaSrOIIGzJ/pKjDgBpj1mG5fhTgisLlZQfV+yaedpAKEmgTRMLGzKUPnM6lIDrUMZVG66UklXKj2a5pPiUPuByGUzFlNIZhU3AIuf+OQgeAjCY1vY+9kCSebk3IIMPaaDAgqCUwhWaTAWlyLK7NmxcDMMlqEg5B9oZ42BCLASSRcwPiBnVU3MqntSUWmSOb8c3yxpPfgXQ8cwNrBDUx4QzILqjkqBrWycNokqobuvoassYXVC4qOBUqWYRy/vBKJiNQTblOAzGsI5HGxribOBM4FhgNwSd/lxexrABYy3R5KJZoPHAOTTnHuJkmV1AIXXaodLWqijKMRiWgMzLYcPhfA/2SnOAjK3SuDDrBQfOb7HKLC/rZ1JrvSYxv+kCF+9zul/7KpzDwVQ3pKKDNFAR2lgjGySrI7mQiE7wBdOjMbiLJo6ONue38nJ+cX9w0LBHCMwEAEvhnDgIbaqKN1jjKl/SXq92gSv1StwRVtqaJXC/016ParAe3jfDTQzly9ku+phCjcupomr7d6HmstJDfTW/hWkNPE+4vn3o560Y0HBDNk9sVeI2e4xnD1OFNXMKupfrbzcJ4Wk6k8PtOCQpxWksCulMgSO7PnNMrmIGXOrHG+EclX1bYvTXGS8fGCA9fSGedm9hmsl34oaWxec5uJKnJly3++E9+1jiBLSjB6UGqRYs+Rxm7siDKagidRSoi2gfWaQZCxZJ6Ldxs64lF47EOWmQjY+dvDNBUjFhhy9pMlfXHMxRf+jCafKZJaeGr2SNnEY5RY6NLBcNtQGVJt3ydEOpM2icgw0hPgnRYicEgpRLoTdluBjvR3BhA7KB4IHZWaMrjH46yw6aF5RE4iY5qkHzDBoqSXZnkTukCLejLQ+sbbi6YdOQkZCeM3Fq5mlDhPLjbROrxOmErIQMz24xjapURNn15URGDYUyAebB9GaZRROLYG72xetxv4ErCB6Unim79BQHj8oDqXbnq7O8pS2EekZk9EFY57vic/wemwD2AThbtchSzcRIDsxwkRlSJvOMeNZkSfQX4FQSCIBAmuwwJ4Zbxw6zIYVvyK6a1fvM59BDIG3dqtu1JGYy9zZ1wXVy35YafKR2+e24j+HkGjXbXMNb4Nq1XuOwrEYtXIulIRsbyz+SCQ7pJsynnWeDUw7myt1iBmcZTEeXdcVwsfNeiILnzntwX72mtNMT+gAXJVlGLTMFtMA/zajJPMGc2wgqt/2tnWlKaBMkHLaoVMpT4Mb4wI4xS9usPNkVMk3meL4mHGPiuGTiidk7FwbIhWyRHzJopg1iqH3ObjawSHsWcpCWV17DL+Hc+kwcQGZUDs60Ou0lDh/16rvgVhIkyYituLrshn90gATXqmqEOuO2Auw8bF3Cz7vI3rDMwgkbRw34fSVwOPAfLfhziDwnJ5uczKvqdtUFJ7fNoe00ZOAcXmK+DZukTiaEXuEAcbwN6Zw3Uwzc2k/h/l0HPC3p3k1KzqyYkqRU8EJGRSKJA+9Ml24XJEH8shn4fZAYFXCBu0jj3eTrbIrv58JlJEehmmVid7WEQ7Uyv2WvWseZwetOnAozhDqGgY4dn8eguv1gcc9nhnQLblaWqxN07Zw67oFBRetybRbxelVGWD8HnVwzy6R3VNMPg91yc50ZRHe0Oqv73Hl+lEjMSkkru/FtDKlkUjN8r4pLMmyNRg6l8bBEsMm5PAZHOJ/DFOooMh0w1Qw4dUyBQ6PgYuZEvyr3EyKBH4ib07qPURFbmO3anKMkzvG1fGbnuDPcDG/RPpUY6elZ2Qd8yaNkvMYwSxuxKqE0rln3HNpj8Tn4jhC+0bSjDMrSTrciyOrtJdYhBwpNSO4BUAWNyQoz0VMEasiRqGKAdMnxZUxWA9fOOqlzoCutyM/AYDG4gGO6WhEU6cCfWmkuVjA5ZM1Anu5A4tUojipNLI1NzPaBVXKOPM/vbrwrd7s74SjhEJ5bCZ4ke9CRxGtQsayegApyumc9BMWQcTdHvw4DZTpeLdT0DkhjGe4nGGQNkMQF5aRcH4lNk4o5FEhQ8vCnpAphHhD2d6lIs5l7TAiK7HG7KQ/Dg2ofkgoPQCZ+otL76ACp/IdxlyhlcjBPdceuBqKe2mQpbPDLO4YkoRvsktGrOO+g80QiRKMGLS3ZXBmu/ota9WN9hJvI+HI1YiDAwF3EROD5lK7LOJVjfpHmt8rnxktp922Mgr1EOg8wrefg/BonJzQWNhWTCpudD8IHNa1mLHYhAc5xVEZjSoOHRcaERibPoS1eovsrXpolJq+lByMbKTtzLCw0u5Y5GGzkAiEg1qmDchG3lzDowN8x5zhftbJp8a9KABcjeHl0fBnpCh0Dc+4m8GA1sAR7MvstNbQ5olYcJqdJ8k8wJg4wKDV8aVlG6UYzjUZGNdpI2R/3Y36Zva+1y19LeoNPzuGhgnABc99+xG6z1KxZfpXwcT94nmB3YqWSWGO0BQFOJgT3Y20tr+sUS6lOkK6RKwLFAA8ntuXaoEqhvMqSswZrryVt1HQNB9PanYO2hrMW6wkwf35X/8iI2JIyxLqHxkWZnICnsri8V1YbiVWoS0Z4AAcWjmrKbauck9eqz92GziXfNx3FtQDcbsvrmsRqWACosLqDa409x4HAswGmqgdWNYKuqiC7uuDmSWH63zDqKfjFdQRJrRxmqHy7MIfh/al8eMaMYKHKMRunVE8cs44TVvAApShnpLtuUMLAzuC+AyUM0YCT3E2ClA5JchfZl8MuXOH3wZSpExgrVMeXFQt80tTX8z4kJ1jM0VyCngYNjn3JAfTjaOYPDZAsStUteOfF/Nf4kACg4DKA+gC+S2Zh+A0i3mfKXheDfbTZYigU3ew0vq12TX5Y8DY2GdlEE1Izmg61VNU4oc7rQLc5BQeQzAImPqeEjio0Rto82SGnQzCfI0C/nd5CArjr5WVRUmjAwQkPnnXuzI4o96HMEFiF5aAr7ENryqlFgOJEZJFLp6Cz1wa5nMUMuVqsBayS0xdSO13UNcjq3COVC+2rD8y5Oc2rC0hOZ47HrOA0gUvshC40hrE5DzqqtlikBBH5Z22abbAQMshUQm/NgiXcjnH/KM/QEivjStldtfUiwJIF2MG9rDEr+y2UJ1yLJF/KchZ7zaqyFKsO89V4wJ8l5W5YrKE4Qt2QTkw2APjM6QovXl1a6SCqaHLkBp+TA8iNAt2FINQH9OAGpXGREkNLMg6c9d3r0kM711vNPKmGwNMY0WFDjy55Unx4LfXjHJps+CqbjDeLYJ+ldjUvBs/278xNDANbPnuPqSjqGFuqkzr0Tplfs7gOrh6kPyhtOIyAT+T6Jj9VlgJqG/jHsCpYE33YevnZmAmT315XiWZgndioSW6kv9cBabrhk8ES9EpYsbF2JaCnuxCvX71UCdDu+RwPLFWniVJeh/0lx9WmTt7xERnUlMMechjbEM5GDsQbmhhhO96W5q7RKUg8Nu+1BzewV+rIFUJQNaR2m3WmgQ4YeToBqR+nkgDzxzLvowPk5/PnMCzd2qsPX1UfOBI0aTvO4mVAOJ1FJGxkgeVF3IIym5vomNEsgetNrZwrcRNcnQk+yxyE1WVyk1Y3am3MmpC8VVVANVm1NOVG0TABw8lSmEDHYjSDRYt9WEtz0whAO14gdcA8TGZ6U7ozBVFLKiRyuMPgzN3GGALnC/dHAw0bWI7Wei/W+Gn5FHJCHKqBIMDV+pgyaOmwBGgubYoSh24uAnsaDMAL2RQQl1zDHdypgvDhoM+kKsmyD1kkOCYmu93ee6KSpIsMijK6dgwr5UXVEpJM5oK3e4fNmzmvgf+p4MlvS9qkjQyvgwOoHFe67GPxQVNqopFWh2MJufD31yGGkp2nwDsvaZ6cSii+6rxuG1Jz0KWcB7Ofg+A833g4q7DBNi2bZc4B2mIQvWyHzCY1tQXeynJV8jHd4tTl1oBguQw+Bd7W7UP1NKaNHpsaq7q3yEggLTuXBSuzNACuxhU2gfjmupg9tOvEvMCBcfghEFrqbQ+Fbw2Fc8ga1YeHcJqg1J8KM3FdeJeSSfHNYVbnOlfXJjJng0bCGfW6quO5GWkOi7sGfRqIuPYzxiDpTs5dyr1Yh9KtyGZTZeNgrxznS1BEZsk6x6pQmhcTRxl9nLZlFa6qKrarCfMQh2PlQHPPZTHso+ssnHHuI0AOt1LUdADq3yl71fFcSzYcfpJVcfVKSA7xNZPls3UhYKHT7+H+0QHy09dP4eGY08MkZ3fvM4r50oKrCXcZCdn90ZrfzZ9OIVqATXOUoOmmzZddwZyf4XzdtbUhwMnEIjJDTft9AgJflR8FPgP+6dwVhgJlLSevjGqGTjolNLjOsrM8VEnQBJVDoji2SWs2aeYorx2qVU5BOk2vxUoapiFk0APLPI3a6jPv47f5NyV5vA+vUUdi2l2jgdQHmVVgPLustdFQmyJmOkvelzTT1YuQUnCX1KkcoF7HMMhDpftIhs9CBTvNCXuV2F5LWwfbD028LhjdZXBhSv9Jy/zaza6MA+CC5jUGXpnFMJO434XyBDOV1FdXzqD4H7gZ2cipk9tGoOFzgjO6OXA/osTiszCIfs4JjN3B+8AG4b7enm4N9JXdcJ2JYyIcZbf2bAQpMGcwYmCaMXX/eANmRumvpVyNZy48lA0yA8m0M0grhcPL8HK8zv7xcw85G2gKX0qdgsAb+4ul4HAzuE9UHDHtcQ4sTLpM6o2rYYLsB+SpqTmvHGOxfiSc43qt0DR7YE3hJo4UtuzDJKbsrtZ8VnQ0PyByzJdICHKeutzWNDFmTWjLtsZ4YAewpbGI0AFd4iYDItgmlVUf44NZFrqXl89ie3w2579sYWVHxWEiwTUnrlnhkoq92oDJrFvst0/6T98G2Z1qjSSo20lA59BzD6eBcDWtqThmpZ6pNx/DT7MGYfaq0wmobpkN9RKjdD88QB7+7RBE3EMT3WVgJTrJU1yIpPASAvRv/bfyj+Ef5Xn/LH4hLrXEhnGA/dJ6M806wA8UNESAtJOXM6jJKNxUAMB54teZxFB9DDRLTkE770O7Sreb76QzVAUCQYcTnQdOWfK5/Rx28WxyML6IuFenGQPOECC5vDQGd5GsgEtOi8R2iamUds3B8unL9MUMkkXD3wUzpaTGsAOKytVGPg1HhRmmtM8aIsjJaeObxcqiT4I9G0xi8C42o2B+LgyNT3NcggqWlP952DIIHgShSUXQPppY/JkNBnBjwPLEsepwehtOfdI/MP44jVcFS9VwS4caFg+KquqRzpFytGpgajcZnQFEZ5pRjMaFt5h2/3amc4SARrQcBm3Y1VmCp4O82QmYH6TynGNeeaKVVVA3udfHACuc5hENkP2RzWBXVyIL87Nosj2Hy9OUTSeaMKfNbJkszyYZ9BR00HR5wT/XwUMIXE52R/8mJ5XmhVkp6/E0hlkCipMxDn9t6DBn7kZxMp6rjIdLEqzXNXBt5hXlpEGCh+uFtb7s45lwuNNkRLVVx3+gZW4igXHeOsEH1gYd/2an27umzClfdQxCuk9VWtN1fC3DruZw6ibo1GBswzEVVYotyAyBWjhg6CTnALjrMLjSxZoe0iCD7I7/wVKAJYLAAKiI10CVlwYVQm85mkUMOAe0uT6XPPSBFdZsRvH+SJp34e5+HWUBDEPAZ3LoaSrtS6um/8MDZPP3xmlpSgVJbijjLu9dLSgLji3tH8vftr+Vv+7+Wh73j3IQwQgolQ7TwZtQ/e4qWG6HM/WmdWqhHDUkTdsYOBh0hmEwSJ9vY7KaXm8E3T4aC/y7Cz5LKjd6lm/e7CbKNDbew/xQHi4P3lCpRWRwQ5R5GlV094Fj5pxvNyhGvKcgQRMwHWvJUHfMJ6Z0dE5XaU5m8FO8Af9Y/7A5pA0bGScyrfbdXFZFEq4o/eDoB2eGoC5I3qJAOIEwPTjF6LKMqEoDNz6LBp7a9D4iky9LDPh3h0mMDWoGn4lNXm2hyKjr0CMOiJox20Cbc0xvYqq1TNfVCBpKk+NDgQAoa5Ykc0OJQS8MNJJmv258ylW6rWjl+1NsDqR6bCCeG/eJIMnnwom6jzne8OvAhj2wS2JgOMSgY6YpQ4kLtpXGxXVSo1AMLjI5hU8btOTeqkpZ56uJiB1RTHETt9ZPsX32s3qgDjvLSp6jlQRu2TAJuvRtpHuL0z5l4lsQtK0MoAFlsJI1AUQFrAQxHgf3JKvr8MTwtTkSAGlBOBrxnJfmOuFSqkwGzWrBRnZb55LXkRhKX5lSiWyUscbbITjHcH/J2lMy6Z6kHIezW2GZOX7YE649sjUUXE0TCh4Mp3NkbcUFr1URexdsF9bGuBPSctIo2PQWY2L1C5jfm3UVK1QzDgST1y8hnWCYxtQyAMh0U63mJwa2AGflHmR2aSCfdo56JQuFkK5DEYyVjw6QkFR15mXcZAYvTwJwJVrw8NQw6dydwh0Yis4+SnHxSTqZOSNacwcoD2mPJseLiW6QRVPhYNnIwmaRMLUz1TMAtq8PMVmNm6g0LstETzBuKoYSibfUTIoFYemGt90Wtl+6QGMUwfUO4aZSszEn5rFwmNe8PGtuIXZBsslAKB5mn+NmT6s3H2uriokBaH9rvznL5al/us6hFjtlvEJ3E1QJRhsAljMv+bBoBKoEjM40YP7cBb6TnepKiaqdUwMW32RI/Ddmc5y3GIhFgpZ+h3VEJuU+DuqC7XN3nTEEvaeK+IU6KO3IBH7sdFL2sdGrDj7pHNJa+G6SApZDzjy0mpi0qCFvzqcBr1VVk9MBzXba/H20vE3vZuaQkVDPuhuWYAFM09Wct47BrUoqdenbzmaGGHBahjnKt8Qas5yku4r1GRsvDS+kneW3owJyzK1On/3RIMD6qfSZOmaiTos08yHjwxi4uspw/1kObahdzOSpbDAizqrL7ImEg3j2g5epEEv6Z9YxA3xVkQLPXLkh1Jxskla3b5sg+f9rOS4PtIuhdgaWIU2ekfdxcIHdtrle0g+yQV1kTyrVYvWfOFAtJ/sDdUKjHNN1DGwacw9I9ykVJHtWjpgGK/IyK8EbnByz4jSn0Zgi6VX+ObPdcSLKP6v6efdIG8FRIQcQGoPjhr3YrRZtzX0ICk6dsI6Ktu7F5OrDA+Rfb/4ak8OGzXSbi6jjRyu+pc6ZzKoblCYp+8JAeNnHxEKMQfubsIqn25qabb3swKXSCNVOZROLseIq1aZLCsa+dwASi7eW1GQx1UmHrFN7o2UXGV2emDZB0leP12PB2zUHP8OxB3drsjrsmyjvy8lgohkspX4OHBqOWdx1AYiz0L6v3wN/ofRa5hiDi3EoG3w3BxUJzTq66jVm7/AwVZPsLuVyd1FnrK8h35ywSQfSiJZAWeVY2cSpAVKuXBO/Q1OBBeFwIgJJUlRs0hBzoYKgSGhOV8NYAhIrgSxSkn+bXpaQvfOk5lkaiHLWh7w9MjHoW5SYlKGQegHDydy20HLbNML6LEdhkA2DZdVgrJ/mcpQETLbGe9mQoppInbPPbYxy0A0Cq4pGQs5PNgMdQkGk0wswzpbgPWs0ddhi2zn2tmZvugthBIJcMLueAvwcBGS9yWl0NgtyxcTu6ggEy31YEX3o3W1ObT+sD0rEfRx+mEzXBliFpMz8U+Ndh9NZQa39e1DCQCIxOEd3pDlHffa1s107uWKS7B3gjSXkdqppyN7amGgoLp76eZMJqEHpjWAVkNMQ1zpGActBJKJ9qnHS/b423FhDVF3IdRVDQEfLwVs6MaVRsU1J1Gv4c6aKqDrI8+9eax4UNh6BLIabmFuDrh/ohnWf9mfV9IMY4gE55HyfLUw6HGyG9p/uPP0TpK0YUX90gPzj1z9i7vDNZvCDYwQOIQ7XhuRQ/CcleNxA7Z9wrVl2Bix97LpbDVvh61Xuo5Ppco5G7UjWWdSeOnUed+KS3Fj96gCGT/FDxmTHt90rrIdOYcmUJa+5Qc7BcdDW0LpglR7iLTd01wzE0a5rJ4boa8BL89JigeJWRJCrFmt83sfu0dENLDYCpk4+fB68hW9zRgql6mUMA880ktAZ5+Yi/w7lhRPo4FfmCVvHUejbV+eL01hgaD0BJN2ZnQYHwZ1piXWYGAdGNq3kmyKvg5LD5+uybNmi81t/xHWTByfeS2bKIZgljtlH6uXFutIAQpiFcrMLwrDT7jikctZ2VfLUdaD9Vl+8T0rN5skgaUDCfDnL+9rI05IrXbXNjJKj6Gej0TOGLZ0dfYI8TRQkbmNQtlRX8L2ligaqynIQl4OaxXN3E7cJSXCf4TSm+7T0lS0McHU86sNjkw0HrAdU4yFDKcvhsDtcJXscfBzoXB/XXaGP+hklgMP6yBk1/h0CY22qodBClIAgIIORzAhIz+Ps2tX1KHE9gy+0oTUbIQy8S05rZTL4rJkHdDlE45TDgAqBQE1CsJ2u3EIPmiFVc/uEowjOOHFlkFfvDYTITCXwZRyNyuVqcQcWeyWvl6wg+UknpOoUVsc2yG3dj+VmFw0us3qgMOAb+LC47BMUaQJBlUpBinu4jbHE12YR+GRWfAoGcmrmhwbIyy8x56G64tSpZ5xcTrKjNEXBkWJySixutCTZtJJylAH8LVJ+JF9bkm/ZyDRr0s5JegDZWjVpSGNTuopVGQAWSHB9e3sr55ezInf+PqcY2a08uiUoARV7qmAwmwYIgFO9u+m0atOFPOe1VPjAUZrYny33gdUwb3vt/XMoPY4tGGbdVOhqV9C4jvS0I90Pof0mAKdCIMYZRyZGdomWFSwXjqcmwwT/6RxjUc9rZIM5L7lK6Qw4HCIA5QQ1yhMOgDo5smQmAxgPbpOcRrJ5qRnZHPGZkOkl306uZA7buhoCZ/OkfonHMiMlfTlrFuGGgb5Bp7oLTNrnDWOAWdrZYGDDEJT0FoUKdD5LA9OyrZbx6QJEMKm8uzrDpjZoxJdzcDz4lqNZ+c5pm3bm04aN0lxj3Pm9NNcZPfHWSgtRHTZEsKiO3LUx4OAp+L3Nu3u9OnUahmNkSgoFGBGS5rlm94yCaNcrtl4DvyqSdNeh1KxTPu1o57Uo80zs1pHBzdF1ddwdA4ffbYGLbrdBZbuEXlkf1ByxS2VxtSpkbSAayOabTcJTyGvlKiObXcIAYiKwkuGSoLDvxnJ13apjhwnqla+qOTSZeppZc6BUSa/4PI3YTKauuCIlenanrYyAPhAa7IeyO+zChJfmLCV/wmb6owKtoAoCIqvzvbmmDNxio/BdQehoHgbWdOVDfniA3N3u3ik+uOM04d5RCbhsGLECcAyoAHAd4WsBlNJxozFBdpaGrzXVrpQLbhpfYiq5eNTXphxJz8Q5NNsI1edDdPdYEM5pmRY/uDctu2Fqted82JnuWzru29LcNnoMErzMdvCpW8LS3nvJJmP2SDmUz8PnGGEAsM2gMowllkOYRSDDS0/Lek8I1oLMtRtMYwVb++z863jD11gM1E/DU/nefC+Py6PlphSNHxotOliDS6XXnSdsGvvWOcqVT8lGlSTbvQP5NkXqYdXuglKRk+wIEhrX1rKXqjWHiCnzqm7g9KvI5nJ8qj99J9zhCA72TPLQyGaldoERIUFMIrgBnU2COce0l5ql5RVUmexo6zBPlzWt1GoZjEWc9C4yPKSWrHEwPYLjEKYJYoXr5j3E7IOMVdECUxRPoWOWw5hGG9xH4R14eBgcsG5ITIccCqcFTuCTZi/Jq5VbN4QZMZnrtTFC6Z4H+HWCZc5Ht8KZgwCt9RtwLF6M6YCNQAHll3OAOBiGlAbSOKQTzLXT7UZ2h5wRqhfB8bALKh3BCFI3kAdmsxDb18u1K+16JjADEWEyQwk639o85T5BZ/q+fY8sOkd8nKnQmvPVr9PMDVPcnC6onptqJMdU+LuplPI+keQs73/PgygVRrpkNUnbohxHH53NXzH+MbBdE7Foh4dVHjSh8m4aUw2dqzUc8aKOVGFtcogTe8QpoUhhSaj/2gcHSGf2ZppqqpytdxYi5aYn3rAFxpFOLkiR+ADOMx4Sj5nDzYVTqoLlnGik0QLJSxCja8ZRVR1mm5QamObOAdZz9WqpmXiWY1dpvOiujS63XS39lK+llEuy9gi7uwRRfAwpVx0nKkCN7I2Sv734eQmechWzZPHvreHGzYnLDxkT7wcJXZ9KFgb4S83K8KxMezdwRk/Z3VRedi8GSO2x1phjUk1Uq70WDbCa2UkGZ0Bat4vBYmjQcyTtNYNkcY1ZTqRZqGNM6SBnGSLFKkdLgNPYDaakhu7R5clOR3zNkQHANvQZKN/HXooK76dvIQ0U5jeDC6WtWs3YxaYTU6oO3hxmBAJ9F+cM/F3nIYk+vZoamI2VcKiBlOz0vBzmxT2kVATCcPgahyFmygQFgkFCDFYebFaqiSHHVqTDNNcqT7U5Xjm2Ynw4JDHHJx3b2VCVVeBrpVM78jcz2CWt9uDItgE5VDfrOuaXxqHD2TDrZeQIxrCnk1QideNgcTQsaDDm5EB5t2kKzD0RWkhZnxlXHVY2XgxmlpspGXRULLplGBw5S0cqEDS3KcYbS15vH/zc8Jc1WsnBc3yfwZRRxOAzkKMk6qRPRxq8tTHLh2mZOc4DvNAgR7CDs3/uA1tccxY3VU0zxNye7TVKdKaR5k8dtuZ00CXm3Ls3M0haqeTkUhucTbijf1m/BM6N8xFZMBABsPswuWfMUZMPKlf0owMkmUxNT3V15jSaIhtwUmG7XmU9iuffevENZ6/sYsKfsyCSm1ezBk+nvkTjh9QbNUU3+ppVkihYnJpmZ0IvIfHzZufAoGpjxRAoOtRsLposakihI+DSAscR+sgQjkAGWMpkSqnUp0pebmPok85F49nN4GxuSgrkYefJUlhaU/PojwodGjGUkDfRvTX75RQs7zLMah2vq0iOxeW92ABVUWSHtGuD9pID113gdFr7CCTXzj16bzp+ubEsO/G5BH4Y30K5gMyRjGIK8nDtjltqpgmCXXEysiEAeAMrnMZzmB5X4w6u0UW2i88qtQdCc+kN1JZ2ZGN5yleVVXXKBnNkWBujFsRj152bimBuZtPs3axcc8WSLNGnqD7qrOor44Gubnkv+aSN8JwY6ZGKizr9sN73iqtWm7v6Y1MlR4jqssNoU8xZtyyvqUbac8BJXXSFDVTTUqa3dKlK/irXL5ZI02RaxX+18AOjX2aVWvxUf8s6/kD8tMoup+E6+4h/J7BJe0P7TzKdBsyqtcrZQ0buX5VDEqc4fNofHMCRC1dyNbzBMXiGfNmcybHG3qst1hHZnXDXnDPsgSaOsccZncDnrMa6t/tb1wN7jucMw0OtdbqWGx/a4TpfxqquqpHST9TDDP+AS8BecqM57FNlpvs6cElWM7weWST3XQMb5k4lF7eaC5vYMc8bGDDnSn1ogNSFB+t4uGbgaSnbMtixMPiuKgroFUs4a0viTclP1XB7SvwwPrVuDktCgkwfuIWnJXFl/WEaIU2MNgYoOaIVLz5OEtLnppNr6Qkhhh/liH6JcPXgYO6DL2cpDi63zMGRTF04zRFOIbIAVQ7jWobDEOYRlGzw/pYY+PXYPmpwy4ZmAZC5suDYVE4WxHaKbi/ZFN3A+X/nNVaNefXvM5Cky4ouKU3YvxEMeOiqajDWyHEJlrl4LV6664hcuWK4kzOkPQ0Y6JLXwWe4nbC4zVjIvAl8ZJaYEyDnGt/dlw14DBSjzKJ8WbLhBmY5RzPERhEelGkgS0ZaPRRVpkAyZ7jUFPeOoECTqw7qEmjvo5wiU7cxgjKjZCDK0q0a13robXE91WdTLq11YZSSFZ+9Bk4MIfhJ5UbNkCtWW+WS7gayzKTvAGGoXW62mMyZZaPXlYPQasPMIHmJysC13sbALJ81ByRrh0ZYdpBVnMEkIEstfXAxq3wQriOSy2UXnqQc7ul6Y/C8jD43DYNzyJUBEveq6mvwg+0ca8ZGSTaiqkO5jZQxgjYB7bl/9row+rXpNh/Fw8E03WtTsAPkmU4xLVRzGoxLmFBJc3S+s/nJYcM9p3SXT9qEJZrNlRITGA2S9CvgAMP+SJ9Qs1ZUbNspXNEJ7rtdmGfQrMJ6MS3++F32msR1+hiYgEDRmi9Cb0JE+3CPolqsnqUfHiABZ80Cc4CVJco2Sd6t9v3KmijhEoyVLgLeUG34++B8VScUg1QGXIX5OElnFuoIzKQRaK2ODVaTPDY6tXPOvV6jzKygvvO4MZpoTmF7n9zMysmEclFNJ6pyonaGzZbyRxu1PrFCZguNMXyck4uHS9eaAPncPRtECFjCCe0oZvlr+dVrZDNDFcKezWZBzn2R5zlFsJEIzwZNySUBitd8GWLehpIxJjE2J9+DhaUFGPgeC5bZLUn05v2qdyMdV5RNZME21vocDXHswjiCoe7nVJjQfINnlmNGa+bqVEpKV7BnDiX0y+XG7m+lBcmHpdmGaQewSNJrpLxANQJWwZyDOUCUcZfwlXRyYXcJc1hmQacVl4F+iwOwYq+USmbF7VuYBxMEM2uujkZKRJf1fTBWjjWw9EoVTqV7eSgn/GEnFdoM3fBdYNiWhIwLZrojG4+PSSKQMALX4kyXtGHz92leTWGPV9kSChzy23ubenGhjD4bMSQZJAvVk4D5K+lo7usnPKM6KIdkKY/kgDsGs8CS+jJHI5BSeghZsBVNE+qfq58BAYT1tJ1i7G8/u0afuic5u2/7mHHzOr2W49vR+dRKcBl+B9mdoVjMlxkOASmRQU6Hsr/s3Y9mqOmQpJdpd7acJtBqVcYaQJMPFo7PAQod4kQfk0Gt4sjCydqX09VxvxLIbXzhT7m8v0alPZm4LI/leXoOzvYSvQOrE0ZEwIZIrPRDA+TuZhe4C83ULOE42XQ8xhkbvl4Om1I0T/d2yfKXDwYQm/rSOoSomtr6ARNMtpxG8oRhabNYghIokHLpiciIV+bdnsKWv5LJvXHrEr6TuOWAReCQ07+GOmU8S1EgQzI4ZQfvKtsiyzm3GshirGDGxxB6/B+xcuNOZaaikzIGtl0EfRduSv4cwdrclU/lk/+fwEigqs0OMcMSjkbaOp1Hx1VYwmCWOg6SxjEsFdPCan+I8tvMu39XgkjdAO7YhXkBuF5VamhzVstOspwtaEHVlYdy2Yl/6GyTCqE8jLKU7nU6qotvMmcFdc8QXpVyDukoQ2KeZp12KoarT2OOkeCwE4c7ReOgkpAr9UjJJLpwOHA5p6S64hig0rm8usBcXcHrjPEznbj30h3ohS8bVPn+lZ5DMBDGyO4wGaujA3JOkpn7Poaa2YQgwz43UWJiwopVVo7VqGyC6mglXkjzL30fVbYQeHOMbN2PZrzVKpCyF6MJTCaWDDhjjHNlDWkMk79f9cdq49kvTBBFzcQazRK2dtvVpQODMQpkeNdgizmz9rDbA3KASUHwwhmcQERlhmHx7lyOhyDHn84h3iA7ru5T2oyRbCON7WKMqkkP2nXmyMxzHPzDoXwaPgVkswax3IDG6ySjwOAIewI4iqYhQggO/vTt1HUImAfIhvUJ5znNNeyoz2GwwutDyeM5ExyZ/8T7VYhHMQuNXQxM0gzkwwMkOJHu4ADwOUio8sQqZiEXiUZF2l+pbElrJ11wuEAAdSgU8LDSyqvKwLxBDPTCHKINQiw0CkpE8DSCUrXkN7jMYXhrkCZgwx/EkWYLWzE6Wdrg42d3OJfLIW6Sw8mhr51vYmJgc2dGxGbmlCSA1MFkdBo9lWvnDrwOrhhkXWZOd2NobEsfUwfB3Cg9ce3Bh3LO0zq5eHxeMiAbUmBol9iMNnUIFDdBORKXhUOIvhb8JX3sxGHIdtNIo45YqMRqPQCHaFDVGSSUYywebenPKUWEY0lja81ucRr0WirS8ccmbgvDWjcoZX2ag9SMz0V7SWUUWdgUagqpHKgZmsENhvYa3FZ6Bo7ofQwD87ll519NeBpPCNPkMLPrdDzwV+CEymuDB7km/oYSaj0HoZ7GETr1nGtdh5/JSa2aY1xqMDYAg8sZ1W7kw2bjrr4Xz0+LvDQs1mMR7B0Ma06dOzga10PVRDBfwjGGcrayHOpEQ36X4AEEwzr0kM0Z3TwzmhzMQ+KA4RqqQkkIBB0yBAPWIRr4dENSrUOHPPHnOna2zlyX/M53Pmd5oDjo8+tz+pri4MSeBgqrrAA64yWwZ53iKd/hMDJ0bIyGk1kqh3E6xFe4AQWLWvP9wVnY18oBDBzj7XO4JVVDFqdgpgbbjnuq52QVJK1M5gKXnJNKfY4olICfpqP7FfwRzwOqHg4UDxkOJALrJcjk1Xj3wwMkN9isIjGAOt1Pg4Q6A6cOPaqDchRsh9munD4ccggWNyezOhYOG7AOBhcYp8ucBOeaOtcJeJayW2YvKfeqWEuV0plxrZnSl9PV6URLMdzJucHnpQxvcU1sWBQ6n9pPvraKnNwgQgbbaiB2Rgwnb3KtbKqRrud0RCfB0elP4urz/Gxw4kRT2oe92Q+yLcuplEHqDpXjN+vQpqrVlc7Aos9h9rqjT5PUFTdRP3mtVwyRTO6HzrvlL0auPLtLTI9jsXpid8W/x/OS1L+Gm0qVoDn+NX0u4drZ1YdagVFrF5zGGuAdPJXyNPGqNhzl67gH/ptOPf3hyjKog6ukuig7freuqsO2qn2VdCmabFDK+J1s2hG4JFDDxasNlzQZll7F4Zvu1jUbqV12gxYHdJbXelsO/XVSZ70XHG51ZrXXt+ZBk+YjZtFLuCNdR/Q2h9CIAw1g+pryvUpb4rOSleuSzcz0sotZ4eO9jI/63zRvnrNxkfZwNpJygJsiAppBNFRo3qQ8kbV2VfVk51ZOIl6h+a1RLzQkHH24JykhlegN53kLoxauhyyUb3iJsFJY95pZAOvM0QDUhAajjWFWt14ZHTIKYH6gfEq5rofhOeh+OtX/QBPzUNmFb6lrId3XNZ6g8ZLyTD8zgRdY7BJy52tVl/S66lYvI+MtuJn8vQ8PkARdO6JpxVRPrAqk1wVcZ6XwIOopXAdoKRSfo2x8PbxarvthmrQtA0BNZ2hVI5RHOXNCoLd9iw34Q/u/BioyEt737fLme3id6d5dZ/7W2RfNc1O2py3oFUNXdvsoCQzIBCdUD9gtDbtQaGT5JCGVjBSaDqn+LpQ4zr7ADaYE5xBFiN3c7VKet2f/fzXCdSRCbchIuXzf2NW70ocJvxM1RDUqqHZiZKUMfFqiUSVxGAwVCVa6ioMRSn9aGje3/LmSs3LI9thkeGLmbG82mB3Obgi7KSgpEIg5uZH+tXvvbz2gzEhSL1yzVhUgjNs9B+dNdgGJQM6PqQee9yAzYysQ2BE5NIpnr/oFrihlfRr3VcpPLVfFpbNZIykfGg3GuumyA22pqijMrHNqoN3obhKbVmufDtV37V04ONGdzQ4yjQd9LC/RCTWr5bPkyAThBzIjVGN0Z2mgDeGYQxaoxBKh2aGT1G0wn4OqIz5PIpANrppgEJzxG0C4II8U9gF+mgyzIzCkKa73Y8sqikycpi/46jzF668xo8ZGT47gsOTPhKMyJByi1SbOTLXFuobf2b+PaB3A7oagWlFpEcQ55BynwvVh2NEeDah8XmETXnu4+HscDpbNCQE4tjk5rBq/gL+ylzG8IIsHB87DCtTIgw7jjHMbTcY54awuYkB1+HFfJ3xjQ5IsOkeXVFs67qES3lQyfWiANKDsUlVAdUSTg5KBUxPJXQ741rcOQjinRj4IaRN0+k7J22JAE+MSAOSTHyUoT4bRHjQGVQHAwk+bIx3B2aBz42kmKE1XEJA2zQKq9M4siQXcvE+4s+tHx/LcaXeE+atT8SC+Ju3BZDh1teqB6ebuNrHLHw05VMnkjG6aVygpKkZZLbDkazbvfn+Ox+Ubt/Fs5siLTEjC+0S5MWa2XE5xIlo/hW1UJdArTaNZAA6JlRND0aazf06ZlpNn4kQGFhnC/kouKEYSUFSwb8sxmR4e6fgsG+CcnprMB0lfv2oZV3l1tTFnhtj+QL5eEzJAEkpFkMqJSj6/jnxID1HVEVN3HZ/KfeQgtByCkwfLgPeD+09DDcs2JgfCPV3Dq5Eyn9K12unV6ZTVDYhSkmfNocGzJShyb4WEkqtJANDNmveCrP22lPltDoiFbnyzC3wdt5mEgmrjic+mlHQYyn4frk4/lu2sH4KIuCsE6XLxOrm/YLN6VaYDlJQURpUkpUXn7+QYV+mhg8hgiuAbMEST0QMTWeopsr2aNeoO1A1XLNOm0D6cdcAcXaMYxaTe3bXP6AphytlrwVgF414yYw4TnhX3ScrWFjzSmugYtIDG+jlwTyAPPFBhwHBvk0rmwMrkfXKAWVGRnGRCokkF3zk3Sv5q/l32OMkB16F/KUPCwPhxfucb8xOSo7QLFAPOiQHa2DEl4KMD5PodeUwYqPaHKKGrqF4SZ46RFItJvMOZuTcRWHDppiNre5+LT8sh02Y6eOic2bxpBWZJhPVVNdlMV5mKI5HGS99hnjbaSvCsamdFR7sOXed1oUhkOVW5m+CF6KwVwafzOTdSRcwulQPM8MDWa1gMjOAbuqKj7aasBSjfrW6CKzUGfJVphwQtHK+X4F5RwtaBWNW3T+wlg1+VEgqU92e7z9UUwYwB/fa0l1vKv7PwhSXmNbruF1L8wKjs7KfNGIHdoUs0OCiZ8j7WYVpO2KOMy1lBBj0keuUH+6q2vZL3zWDTxIFNYBJffSPRQTMRkSDCWcogsS1GAtRGmhkgM5S7bMblyFIDJIOVuphFJKzCrG0UQGjYaaJhnrGLQ+VHQwYzJgZ50UXFFHaNxp2SwZywx8ZCRFDLcgNVe5HW4ibiOWQVI+TxspXTW4zyddZPfxvlGwdKek5WRx1t9/rg19ahbXodYgrSxyTQ5/E54BCcxptbu77Mb5fYvYbJiZkR7Izp5jpn/GofhqIEgUM2L9wXBJ1qLoGIgSQDLmUOpTNJYUQI1zxuMdCOtYCempHMOYjLdQERPJVwBCSy8HV6d7TnmuEXs35ZW6ztOuOJfxen7KMbVeWQ7BO72qxfvE51rC3eB/1USSYxu77sgq5EcGVPQMkl0F8OXgfPFHhCKCMnCFSsWZ/H/ObfCZiOnaXspwJDV8964SA9NmH6DKTz0QHy9HyK9BSzUR4ALtwoN36wG6qziCsewoJ6vnsuz7vn8jK9hIFsG5iLDz2HE5nlsJGhr3BipnFn3VicamweZUlM9uPURO2AQQObCewO/INypPxgwJmqGIM6mSrzR/rRUx6JFVIrsjI+19P0FLpXxmrSWSSzzCFH6Kx15iGzwWKKcoruOfZRTFyE5pEqFHllyCHHKI/r/BAWGCeqhqaUj21oVl0QHHJYcgFyYw1G2UInPnEyNjxDknDWZvNYCiaWxP2DMkP2YMcaj0ay63S+Ud7GSNA1hkVZEtNUIpCRnZc1GhHz25VXSNZEJuwAJBzFGZrVHLyHfCaurQYoyzCyFCAVNvEu8NI6H7xO7SO4kbWgf2dzOLc7S28DHPLIYTToVvy6zm2mU6sbC2UuQQRaUx+cPOGASy+BGUaA3DyMDSjD2SzMQSox/4YMSJu1zF7Rf/O6rEmNEy4R2DnMa1fWzZoTGHkN12+Oc3BbUqbjqNM1ck/J/ut1QxWDxcDaZ/1AN+P+sGYdD3KOLjvVkVlUeqI+TA+BD9YgSXaPX0AXlUadHeT9yNkxtaOuC3t7d8WAaxZKqcuao1kJL5AD3Yyudr6zk8xz0L0pHc4LOo4czyzbo8SBx57hUKZBIk7fvg9F8+Ago5sCx666eZMKsl2gKga6daGCIUDSMCWjtCF1Wr0mgmudsKnZCswFxqsMMe62duH9XO05mCAc/iRayxgN2ykDJZXEWynba9DbPjxAfj1/DS7WGEB2nbRnBKf9D1ZGlzQfMiUBJg7fd9/L99vvlp061OBCw6JGqsQMGBYCJeUQihLSdsswJtMtISdkM6AXtkQpkeloAJujNe2G4WU7B5WAB6a+mzyeWImbeZJ7GRWgk3O5FbNiVKZlBl6DSzYoKJvSjFZu2xabTfkZGFCaJXiK58ByeVsEZ6gXdPizHLOr3CYvb2uuUi4Jy5TXlBJJhpZ4X+VsBBZklzn/4/58Xw6ncEVxMQ7RyeRaK9m5zuu4zmkpQ3TnaWxtfZB1u+ikG4Dg9+U0PjuM50kSshkUAQJeHcanfdJmaJBw8KVuuSo0FP8j6+qibCMDV1LH+FFUFAQB/tvhrJ+nRgTQO3LGdMUWyXJsCuQUQxOlnFVTvSPFMclkxxjMpO3ZFE5BBpmcHcOacj31Uf7xmTlcHD4H/YyAwqTMNYZk8fndZEjpmIR5jkza6XqQkDFhocLofxhIVt4bOFUeWbE51g7/jeCo6qqEK3l1d7dzzazsbJRc6VjLKiZ4zULzwNaxfZfVWXbzlWrCFQW7z1nTVilt6OqliW1h8ya0tbtEgMTln8QDOlKO/vDArN378n4t6xzJhwkLMlkyNXwV55fyenn1vikSoKFHApAOUP59oLHzFBVmOt2zdhxX0p0D2ujvvO77+T4G08GiOAfLQpMLpqgmPY0D0RlKY2DMVJBcJwmFGWv6UtYK9ur6RLMfY13WYgb9Dw+QfzR/XA0SiOxcvOl5lmJ1DrGO3uBH/UUiNQHyafckFieeBBXkLTAFsK4aUKpKxsWReINpcR8WZnT3ZPyvr9eh8lILwILSoFSuFXQOGmApUzMY5LxfF9aYDQmaDKT1ZAKUYVxzGguo9cYMAJIuIHpuVAMhJy9NJebXzO9O6JUUK6mX0pTPiQUU2CgYKbAdXo7MfVnic/JACTCOpWTTcx/zfVQY4FtZbt3UZJAER7WteVLrEZgUCWGIJCtrWtvlYmpuxLvIOnkeBow0i7WriTkuB9LUWvKhciE4OCaBy0hOmhxYaH5kIzQmmpSN0WwgO0x7q6p2cQJgPj/xLMrdwySNps5UttrIeyzvdVxCR962igDEHJv3Jp4LG4ktB9SadmaA72nW4cEMRACpmQCNhJTnlY0JAjwlm9UGDZ7k1zl3ukRpWsdg1KaXmz9Nd+0Sd0UKjPza5FaSTQnV5PAtAiivR3DTGYdyjwl/+BdSdYxhqisVDNFEkp9JDrjvZF5m8k02LDBpoBqiQcn8IO49klykmphy0DhKqzF9VnOm0dXFHd4sBrn9JSqbPioDD5RLBIzqEp8joq5Bbasu9SQr3P4u/DC/z98Nkvw3lTptWMd5nzCRoRpcwuSYg5bnQrNSwcca+5T9qKEJpjfLqHMWhzPuTgoquJz0eyRgSlMi6Tik8cWWNC9ixxAKO9fLklUjjb8lpMTCAMl6qVMtPzRAvu5er6VtNR3lAVjCMqgb/TXSJ+R7GApweg/HKDn3oXtWqcHY0DkpMrgxrykJA85K7SfYhqRnyrscqWBnug9nbQHpOQMWJNlL2lqRlZEtdDn1DVs1sq16KqadkrOzh0s0V2rwS7ulqrpg0evmQgkCMJyL1E2DcQQUC7TQ585SSvlbBg7L2B/Jx4mZ1dnhXm/6KhqsyB7TRr46XFf5m6MZoJ0s8Z5ebyqRqh+jNJKkQ2jL1k9R+mOkmoR0yyLsyXDuLsFzdMYJuOZ0iBL+cussFbKC2lm0U7/H9TjdkfCs5LArQU2pkj4+v6T4VEzIa03enu5PBIUxyueagVcuLUYd4F9QQ/D/45lJnk7MU2w1y8U6KkEtP5kbjjPlHLNsyKT4XTi0rFNKRhqASZmSvoIjFFgd4xqavdmHzcH1oIUdPqWs70rEr3ieMMrYOEKENW0WCaQDiTxTEj67xrMlGggqfCqPkQYJ3L9zPuc6CCzNmm16sn8uTfAEWd80PlCatSGJrD6ldf6LFB8aYjTSKMNzRkxtTCanPnwcaWj+wFfUE/PSuR/t7qJQGwMOEbuEw7mFjJiAXUcd8AyoRJ7mJwN6VTqxzmQRlHAT12MAlyQqMu4l0EwT/QfxXhqk2zscU8e1XicNoKSjEmAfQk/LjBKslwOKNW0JDZcUpR7d84Tn3GOJcVecm8PDyY5DVGkfHiAxfa0Ds/iQzu0AC2GeCjzByy4Acuy00hKKjUr2BHcKoPppefKf1XW6WlrxYQ0AZEXVOALDFEjHZDjgh+g1c+qhQ6nIPqac1ZxUARn+ZLmMNEAO19zFBsmh92Y3ZIcpS6t3wBvIN42GnIxoBpDdsarprVia85wxeTg3yrDArmppbLMKSyVKniEXGiB6u2g2wCaQ3pDEXxdwbvxKq5F2Az0jMVOBbRyYS5TkYlF43rE4mEEMPpeDi5yPgkyxfYnNOm9uOhtZUCuoOPgs0HHOfTkcD+XudOd8Hh1ztr3lsPdl1wReuA9X7Erar8aq0it4DlC4sBVbAsv03nII0qij9IGjWvJeMm4gfQL5YtPoDN82YmfINOmYAi1Uqo4BD3x4ibEMdYwnG4OgZOOsrJExDzc+8xos6thXFRdo1PtTHJDJDpBytIbJyeftcwQ2An5+iw/T3WdC4i59J6HDwLucY962lLQcFXF1YOe/Z2YnrQopKZBMZjceygTxNDOxUTVHg0l1EHAP8lxw5OzaXt8P67A6MyYbTHa50wnchiTBFK9JXKHW5AHPPzjVz81Vo26AxKJuCbhK1x0OsBKddfFw6GdJJ2Pd4V2qlrpCBjlV0T1NQlK78GmeITxH+duEVJX1UemABGxUUFJyYL507wGd/QWO6CQAuLMEvn59r1pyBrdwUfovuL+Zx07CkoHyml3PwcT48AD5y+0v74aWLNrkllkqp6qFD84C5cNoU9XcRZlRTg6vYhMhu+PhO6MW11+m0k3vCpU6KMvsq80Jd5wm6LiBulI3W70KVYiAFSK5G3v/Pq8LZknpqoIHcTyNhUoWbcLVxily4IBd6FWrTI7/bxMIiRolEu4hYILpxyhnbg0vRh6GfDvoL0n8dgAUG7zLiXyXkH1xv5BI4oPokKUtfOo0CsalhhMQS6Yp6CryD+EzcnCkYaok27Td94RMW/46Xa4uGrf3eo4BU5fBjJKMR04am41hTpex7E/7cne+s4xHHkn56wzkfVHVQ0Bw8xGQssMvTYPNns9f6JOMiEwghzdpq7Vlw4SGEdUDcAQbsk9j3W2RGfC4PXp/4YyqiunPQgtCA3lQcAiSmVZ6Dq/B32VeEAGSe0iDgveHpycvFbehVBHpSISwAft/XG9SmcFzBOP9rfymZRbPVqPZHPdQKw4xvJxd7ob7YWCWh0RaAJqZrvvouifPUWkmmCC2b3nfpJWxxscwzSC5YM3CrFDBA3+1D7u06sKt4ukSzSgbSj6GOPjkD2bwuJLzOdDrPPQ01IDX6UH5o0wyaW4V3hFKoOIbV4MTwUtZcfo1VujiGgSpvCD0M4ohTUBs5tDIS6syg3zCU3a2qQ6nnGJaGjFagrgMCK4XAj6uR0twNPn/YMHiqLuze13KUh5MZq4YCm/H/22dVEWVWfHWBhn+PyOD/Ofhn0OvmcPapffkSE9pGPCVIHnjrrN24REJvjhFl5CH9Xx5Lt+O38JlYwoOWe2K8f/dwNxkRiEkt5Eb4SxoKAqw++f3AetmazDlAfbHQYa/I1KnW/EMApUE1GxeVNPQSj2pXoVmV/YK+gjy/U0oaQCj1xdLCQ1dE9g3i8TBG0xkad3MXLdywa2xGWBXDpOGtzn03bugMlW3axsOW2JhnN505NtQhNhxXe/8EUNJYrgcRZRDqeagTKqT5uqYS634kcWtm11aqC3cBzN+Ali6P9eMWTIx3pt89zHwCOI7YwLQJbM4xc8oZ8HSUj8t8ZhvsCAYAxmgq9qFe8xr2mzDu5NDOwOC+nZs/wHtUyetPRV2+mRXZHDNOXCt7k4eHl88BzIXO8lgT1sopjgIxJhxombyZUpPHd+aeKRlP+NTd304MzFyo9mkTHGQgp+xcWvj8UovS3f1qysTmnZGR0wHaSj8eEDmhM5Kd6vEbM2Y+0NsovRItHnBQda9D7VTk88oCug1uYFd42nZVo2oJUpTVk+B99chVj+qbCy5qfbAp/PP1aVDeUuie3W30aMVKR6H8y7ocz4fOLTjHLSgQzTbrs5T8BJRXWWDsOrZayZcMX+72e37zGuejQlPTn2UNZFZtv2H/nhtjlaLORIqgh3Bn2Bam2S1OaiDFA5IcyQbdWgaHXbWRTUu0QUr3aqqOfOHBsg/lz/LY4SuUA00fRDpvG1anbrsK4hOdnEO70GIuDeXm7I/7sVYqnOy5XKWEJU2YgAa+sh60IQmBehKCk2c0IyAbG7YhWEDE82W4ApSzqrAqZZdmQVavsKT4xspGB1HQHxoPenUXYFuaS2CkMWFbsmZRGUn9BEQAH4xe533sXhLZ4CmyQC+w8O1RNhnmUPzIqWGNfurVvrQiLgHkMl5oA/Ng5uGAKnT+HoJbBKXcMjnQBBrYEDOKCdbb0M7zPvwfBjlYHZMNpaeg1USZwe5mptmxq4Y4KaU9iYcWZSCnc92LJ+byNa8j/xumotUnbjPLWWgBly6muf36ZKaHudQNjcBSVROtKvBoDqAWzampZfYXKqBCJx+PuauJEHe4U/guGjWh2yYTcGqsFzFtBaMDSdwynP8M/PbspjgRmaE6oPxsi35zFs0Fdv38RMqZuYgtRPQYBaA21Ydu9xcqGgpjjBg99lpXmI/0ABT7jYcVZNROWiaAZwCJaYZ4gDiIKdLn+NG+DK7y0qiKtkM5OUH7Xq68NusI3iydsfRREM/BcxOxjlcu7HLSylezQ7tDHOY17EXc9xHsGp4pvwA2YgNLsHfBJ74ZfrFmfByFhmDgAkGRPyEQszmkBYz1bML1VatGqvJcqULVmkq6w5lHE0hKzrKZg7V9eJaVtqLZR2ClSW4lFLsLpcrP5NnB3QDkd9nvJtDJPHRAfKftn8K09hM451YqO1iYomc1oxiBL+qyg/oGadoHOj0ctmXu8ud/DoyS0+P8k7xqAPfGYPAaVNxBhsP4E8puaocO09X8Ae4gkwL3IIzBXZVJY0vy0t5GqOLzinmyUNQSZusugHk8OUwINUgS47OhIYzjg4rowNLii/Gt754H64jUqcuAhBmDFNgsXVBS3BNdyIC4Y84FX+H11Ol07z5+eUcLuGxh+szf0ey/XaMADOF+L4O87K7DD5GwyAVRAQSLbooJRmsRgNjHcv9dB8zpdMlhw0qoL4dXbQqg27Wcr4J23osr57OT2rKHQlBp5XKgXksYEQYGqB1z9nh14FLuMhzSCIjTGKvRqm7cHSymZbZB532yjX03sHzJKCc2sBrLzHtr3ot2nRAswsFBTciDr2cqVMddQiQmknk3PU6WlVi/SX4vHWsRM2gDR79XF76yFK5x9VlqWYdmj8sg4fgp/Oncn+5jzGnWwRWZqHblEguLQEYzi0HKJLb9S2gAg7M6ipTJXHuI8jWkB/Aw4c4xBRAAAcBQeW4Dg+ilCnyO4694Iu+Yu3s06BgBMdhLP1Nr+yRyaTMRofuQ2aoe9EQrjc5Sdj1IJF8iK6941ynfbk/3peb1xudxG22not7+uH4UL68fTEJ0l4s8XKecbU6I7Fhf1QGCfexuoJdB3kBnwE/gJnX0cXQuHIWt5jofA4BBKYyWXZ7INJMmifHL8PNhHPNHnCdrkFX47CSSlb+EwLkb+1v3iysx56H53cFQXr26XJNGo8SAnkdZULOZa5lFCcDZUwd71q1onaF00LLMm/cx+bltChxUimM5xRPQ9gKSNemjgqZdBjnBnCSc/Lg9k2pyf+v+le7YcsQhOrsPFfdaXVOroOuyGQ1lX7Y5PBpeIFSBgOB6t6cw4DIdATRcTlJ1/Krizndyr4NfBB37yU05mRWLn46ltUhmYwC/t22MxOtTSTNNMiil3TjOYaXoBSldAuvhhUeZPtQKRE0KFe/bF/KL8svZpO1i86BRuPMbnS/6XhEBnm8OZbn9rk89o9Xj72ny5OZgUFiG1yAlSt67VZSwid9pZL8VVIMu+twLcfcJn/VrIxmDo702yA0Ad+Te0mAhExtpsGzB8NCrZKGw5UVoFwR6CGd2+sGE4yvI2EpJdOhqMI7Nhx5gQwMyDTJrLT6at8FCFUnTzXh5l7Ha9b0cH4wmAkPpZpF31JYEn3QuGQlMHbgtS/rY5ToNL3qMDDXBk2X6rSDsyDdeIQKqNEwT0Z7nqRoykyt0KhOcZQaRyELR9OmI7cZOQrD277sPu3KeD+W4WbQ/Jl1fL47l8vDpWy3W4xDwaXo3AU3GRMRrAEPYaUHdEZ3n0C4f9kr1UWRAl2PgPnp6ZOTSnV+WsOLoFJwKnVPmtAUo1vc/01UZtWExQOCQ7G6pNcRF1tKL9MiXSyVRhG0HdZVv7O6qxUmFZPMjtrkIXtFclyiROcg4UD+8AD5affJjIKFzolzxfX6JmbRNocrkdgChW4mDyuDWHWmlteIqoOGxWXnqSIJd4ySBE88SmVNMQmseExi6MDCT+C5Ar7yvJLqcT21EpOhoWDZyjezqRntkHNRrp58iRnWzrO4DJ00HkiWjpBzCZDrp1UViI0qst/kiVk+Zrl+zV4YizluMQt5ycbAGJ1Qg1J2Y9mwamZRKkx7AyuLlcmMeiouge3wutxHrk+qBP5900mcxQFNKZ1zg9IIAArL0QLcV94DC6pfml/Kr9uvviaLiQYJGw6vzTpBD2ko5TVZBm7pGKjy9zTgOOdscOy2CHaMZ+VeYZbMoDEMgXkOYKUQzMEhGdqWvoHiP/tJJyc3fBOjJJwAyFyTS5g9kEUSHKs6qEpL69xosSuA/xQmVJf6OnVSyIfqperrq6ySkah4EtJNh5hNc6E2kMhOmsCsnIiZs08kzScLwkwEhsI82th5mB/8qW4z4pfdRUoca5IAS9BQSDEtYVT8ErQ0f+pEPzrkmFEks8FDEoNmcNKU0dbn657KZp0UoH3MBdK4iawRlyHej4Pxti3jb2OZf5vL+nk1GMIhpBqa7+ZyvDtacsoZPu8NeqhM6hz0Zt+U8W50jALrBzhhPI1K9uDM7l535fbpttx8u1GdRhnvwQB1KDPYOja3jsO4SnDpeiOdhA2XrjvCESmhFRKDY52BTd5xOs3DRJFQzqjg/jUO2UNnnwKJrsbOVJElD9+kk8kUWNLl6qMDpCc3IDA+eulqoqyHDzeG+ad0Bzhq02KKC6DuEC+AWojC0CMwSC2NgZESkhRdKgynNXON27BOr+YQereBo8DnoymSnUH5dXTdlnd2f9UTa9Cbi18X6PQbtOsKZpi8w3pa1UyubjxPqTU7c2BWiPsPUziT56Q4mhniluHd9D7PAwxsmIP7CdRAhx8uJqUTdzu70KpnoDelkoFymUVEQHkYHlRDkL3ID6vfOZdakwC+09JNuhX0EazHUmVhF5LO/yUMXMnckdrRhKrkaL48wDCDzYyTDI+AwoFWAySKKMtBcCsI5nAZh+Sw8Znp0qfqwtI2lUwVXxYk7+Jg5ZoMmNlV1NoOTlzOzCbwsCYITB6AOWr4Oo85R316EFUuaXo8VuVSlVJ6yFH28z7MoMbaLEcSVFsw1TDVim7btGJzNk1i4a4tLM+mMIN21jVjBtKxyJGilHxrVCz8mOU3U3RWS5LYU91UKWwEdz43GK2fo0JIie/6g1oKbDlhKxVdKHfWMMiAfjXejGGmgqINXTckbWR841q6X7ty+edLufzlUi5fLj5fHXbYi/0kjKAL0GlSgte/9I5WFvrZrwFdlNind7u7cOS+6wJu+tTo8LXcL+VyGxaG3W1XLt8u5fRyKtMxuJzymJktnw1NoS8OD9ZIHeNLlUWTNUcruIe6aOw4fuUSc6/4Yt3zrK+NPUyyy1vQfA4xwI1EgzEMeiZgUnKJwX4q0+ZwPf/wAPm9fPdC1ELn/BGD4xAYmKcw5qz4GjIo5/TOR9ITD5ygSqaGmI4owIq5LIz+5IShVXUwD3rk5MgJQFMC5MhTy2g2yVwiy+JGD6HGEJdhARIAc16G821qhw1QOu3ZPcH5zrRdIwPSc0owsiEI103yv1jEuK5gnkCZVUugnID3I88PioxZKdgQGXIOCaqzeemi+pnoZqcDih3TLSbHsVgIRmTH4CncZ0uGvC4NgRn0NQT1wmeRZSDXqItN8vDMqHI2sfe6Zsc5MbHa+XNwuWG2c7jMrCefOfAEi1E+HjJTiNNpzKD6giyVMpYGFU5JOW6hemVWTbW/B9SAOQXGHM27I44Z+SkyQgKsjRfKqyFMFdiAGh4D0lN6pdmvzxBVRMWwGZeQJsz6l85ZytGrWBJX5gfiddvHZyXrI6vE2Hi6iEeKgfY5h3wNrbsDtnCzh5NJpicEnn4A5eR94kBhzSozBcpJK0ADLibDYxeek+llwOYXW0vXc66njkauk/eqN2adcyOjAJoc64dkhXk+cAeBe7JrLO78UErzl6ZM/5+prP+8ChGpwFrS7Yr9+X0q56dz2Z63MrwMkUFmZqsBy30Ewv6hj/J8N7i2wbv9obNP5k55O2aAvLuU1++v5e35rSwvSxlfA/e2qVr9VNOVv85bd4QDbkgESaaRYhBDYjLEuiC7BcetBzrJF59RH9C0A5QITrl9GMvhcJDyZQw4tV6Dc6sy8fmRg/xhAfJfz/9qKaZtE9PBMkBYHrNeUE7AD8ZKKMc96tuYfLMqhxM4hsdIWZGljNkbruNkEgx3QnWRcqXa2eL0rCe7JOO0sHLG8i7KOBcdWB0b7RgPB86hTZ0yB4ifdvW161t5XCw8NkHNxCqxXPdt5FjHyAarTrw+LGdib0kjyQ1tRooFGPZZOG6nrZOZBC7P0KH6xFlZ0GQZKC1YONmJplHAvfEz51RAAG+uxzIdRyR4otmVtttJJrNdAggfBstkrfHhmmEciz1XDk7T6R1e3ZaKFspPZo6gtDhHM4lNzzCnOkdbqKB/7xbrZJS8N02RL9F40/1n3IexKgEztfLSP3JYmBUBZfAl3FUoyyjhuQaJzTj+UF7ivHWzmcG7qS7RWa2HjSYZzDTqQ2MPNFFH2urnSDaUHExx6jVVMdm51fCD+wECA6c3sWxKRjHLbIrZKIGrmgG3qr5IGsBqv5avBsgqoZMH3IYuGgiK4EKjxFJ7zMPjJhx6WOcVLxMKQjaY2W6VUFqhMGKXtULXHiUM2fz0Pm9a157DZpbX/9aX7r90pfxzKdtvm80ZZxu9XTRtWP6+lPXf1rL+bdWpi+YRz8LDjArh0Bog509zmR4mDylGgWx3W5nupzLfROLAYxAzP0Q8AF8Gv748Xsr6Ne4t3N9KravSyioRVEfN6NZmf1WcAQtZGdHNZ/3uQoSifR4QGAlVFyR2iOQS/hmhknO/WXv8ToVbTOSSdqTTUPufECD/++t/vwauOlWvjhqQ3Jlk4WobBd2GP2NzVjsi2/lt0iDW95OoZjZmG2AGLGYyPTrNNGTym/dUesepTHlD2p5d0qqeEFe8NAbH/fPerEuFS06sc34OHeXaCUXgnhklQdEhZJfgYAmKn89lfQ1fw9vxNrrWTKFLByIf0paBhVMcPWtK7FT4YChBVgflJDFLMwjmtdAdZXPwWn105WpJ5qiC7S14XnAToT3lNEj5bZS7+/i8lbQeg/0WuYNo198Ob3Yp2ewsNkuRnGtcuaxudK492QEaDad1lNkziwm2Qt8J2NdxoDWga1jBiAfWxBCBxIwA5+ldZMpQL5xPzeFJbwrCOMT6pHPo4nKOYV5mcrx3H89J1x84sd27/2QtWet9pCtfJwIaIId9ZJSY4i7vXoHOi0kFj5sGnBQTkXSAUQnGFMak3FTrrzriWOpQRNXwlAQPbqfyvflevjXf9AmoMkNKPFzq4UA6MZNBd9hi0oxJpygknP75D6NbCRoYdVRzkwoTVMsynz0x9JQGHeeAefxzyP2futL/0pfd77vSf+nDz3SezRLxuCRjLH+UMv/rXNb/sZbtr5terzyDuo80sgZuOU56uDK4i/IVPB5+LAFzvo/GotJbCPNY+DE19C6gKDrk+h6UnZQ7kg4qpspddlxCOykzdXjYMlg50OfgfplIpXEJ64j/boAEs7+k5BLZJraJQLLwsacYY1wbx7x39WOoa5bXp0v/4QHy317+TdDWSWnQOHJ04pWoXPEexkz2O091CL7SBcBI9hcHZzFbhou0BNy3gqu1dNZFmM2YA7DE6chQsxRUptTeuAnIkOr4Vks9+FblEiL+01i6UyforycfQ7v2Z6/BEmHMZkaVmnWhea7kVzOtJQLk2/HNbFOvw7E3WAkppDW9ID8lIgufRhIlK5nPD1SnOlNFd+ucj10zICfcoQlHUTjG57HjR5BuY7iXUxwBryG9g+ECzmdArMPOqjkq70WTh3v9Or6W4xhuNpRvdKJ53ytQnSa2GrGmvZWlcgZxTX3pMuL2QpDgWbSpwKCEZBEyz3zdx2drokvvZydzRIlC9j/NMUHxbXWjsGHJuAl0Korm0aDJ87PMxwoOmkwap5rVpDMLm8zyOlkGBqP5PuZsJ4/QDjfZCGoMgj9SzrTSM8NNw96q1XZWMq70U4xa1QGGwidlgkoY8fFMt+460RMvSahZBEeySA4UIB98Ez93n9WWU9nUYVR2nkEXwNCpvhifDDbNOmAc7HCMeePIbtFEY+mFVyqHOPAR/L104a8TEl0DzIm5aUv3pSvNb00Zv4xl/7APl6XnUi7fLyrI1pe1XJ4vZfu+mUE2f2tK+7WVtqMuv9t72Jndl85nIaWvLOXlHBWNev7vU1nu0lG/JjZ8jkMxMJJFsqZxbXJaJgwFLPG+Dfo8CgHx5zBempNqqLouWD8Sv3HGb0OXb+XCDCR6F8tOEQpYsY3OHOYlz3q5EdKyecfBjgXE0od8k8km1f0cieRHB0i6pRJrk38l7Ya0n2YI0iReLId1HW7Ckt2QmY7cyIMIjpyeZk7LFMz6ffDxatltkGDqHMz7pLtoOgsXq9k7D4UfSceUxuhLh9iUEmo5HKAAgu9RSu0au3fTzWTHzmCKPClxKk8ZRjwwg6QJp2qxyCUGf8Ft06qribnDYlPsn9QDV3WMg97h/SUlodoz8XCq8kB+Wso1lW4BVQ5hqcV9cAYHGyG6TMHzhAOKThu8lAwz8a066pagUo1w9Z7sQmZH4HWEQdtK8CcgmeHSNW2ju0qwc/bJeozSFokg9wUbslRjaNRAxx8hQBr0ipXiJNPvLB+dKwR2NWfXmW4zVCkyn2UN4P8Yk+X8/2m4q/oIZ2xwJ0omWA450J5sxQMz3aBtZIEln0NupzqnlCDBN3tZAJbPBOV8xjbD6EpjbMFBySwlMPC07Of+2DzKURu1813xPO95u/r3oLFwyFj64umZhH+yRknlzRzzjebb8mn7VD51n8KzkqDIs+Q8q3r4VIuII2YFhrzSQLi+25CRSfpn2SCtDUobahwA+9Q43zUGx+63rrSf27I77GKO0OvOcrp/6svx6Vim10lqGHsEypEz5OH5DqPJjEa+3cFslmd6REEGFn8JFZXsCZojqKlgaBzex5GY5RMgH+YyfZnEQKUQ3Q5WOkAJEtYfUyPO/SLwJQRTDTNozCrZhBdLgwbYDE8D5gulKQbBUY9HGBXInkuo2TjE3GcM6EoDEbH3klgviUA21D48QDoGAaD7FKWvxqh9aFT5J4va7uQ+wNLhboguJ1MM6aq1SY0hKKRtf72x0nbQkua8Cv6dK6v8K9J/COaOK4DkzCxfstI25isrrcPN5TJ4c7jZktoPmyk/JYEYFrbyUALwhwS7w4h2cxCC1wLeJpGbjZG4HKWfcjt4e4C+fXRvJaCS/REgc/NaGmVmXVUXkmPzVJO4jnEq4HI2u9hE3reRDxw40nViZBKvLVOzkVKNaqtTjAPjcXLfOvldLHhO3tp84v5UjFizhuYU5T1StLK6uSG9i/FO75ZfPJ9qm0Ys1ZQAR/CcUqnDeRM4o9p1skEaYpgBgEsCf4CN4d8BdYTRoUAEu5yJTJdybYNcj3HsZTX7krhNBbLvruojSyt0u3hh0pHE8YaOL8YMMBJo2CVHzobHIehldZZPVYvIX+U5knky9oLvHNClciepUTVYVaMI7gEBROPWdDGvg8Nqg606LpHNomu/X+7D7o7rygmYKrG4xnOOucj5KjYt2U/7tD6bgl4kXzLddZTyMsoBqAU1yE24C5k5furK8GUozW00x5RPvt6W/dO+lG+lnL+eS/O9KadjDNurUj7Kf/BdnqFa/O1TSPKa1c87gXUz6uR0kpEifgwTBM9LCP+HrHxSCac08TU78Rxw901pHhqbN1X8sfvbrnSvwWGlkuFAkeI0p1vP8s6rdvrlOPqe8jyHnP0Dl5Hr60Nr7ZgXphDg2MRQQWhA2Bhmpsg9rawKOcjbf0KA/HX4NZQvOoDFdEMCmjgVlAJ8/PDnyyylNjAcIVDOSn9w7cYmCZyv4kkVYDYw7hP4z0DpBjyPnqaoZNAV8/D90H10seA9QX0w+0kWP5sADIyNfbo7+SOPDrCeDii4BfcuJxTWAWCWk21CCP14JaRqxHu5hEMOpS20TTTSdJZxR0dZgvnDNhok6yhbdatJqpY2RCcv50FrmEoZ0d2IGVJK6CWIxyAqmJplsIGyZKxZq9Mbc5ofpZ4GsD/MnK7/n2Ci5hXNNt+cwjRY4DxSfqKi4R6uoXSgtFFjv4XTePWBNFsYMzM8h80bnUU7royc5b9hM5Wlvl58ZEG81tIGuyHJxzSO+KkztsHQ9m97MWMJ4hVUh+IyLkIF1cDDMRlrOIlfs2eaJjnegSyW5yExGScptNCM/kwXdSfx5cxv/kxjCIJ5mo24ZnHshlZEYO6i0qhjQIL6mhMBOaTSiEG/SOhcjNaYQ4ePSxKNAstrKgccanbvvF2aC8r4yIqWMQjiY8y2wQtAo5LT6L2rLATlddveqoyMcfhlKMOvQxk+D/IbbXY+d2V4HMrwdSjjt9EAuX3dyvK0REOMjHRsIijjkbmLoVwmHzmqg+fs+yyb3W7WpEPAEoIwYaChx3reRVCX4cF9eQmMWHz8oSvjQzj4V505n6/52pT5dfZ5UxrbDJuiF0HS4l7HrGTeB/2t32IdIHxIJowDzvb7MEimyddm0yanUGqIgtMPYoBxsrqwcmPqKeyFjw6Q8KBMhdfYxLrh1NnWlN3odjEg+GG+C+UbGQpyNX4Yhfo8PfshJH5yGuNMnoJ6T3CaHKzFIYbQw4kjyHDjqhGoOlwco9ugAekHyMlYmiA+D2+Bv+wDEwGD9FovyZ+jY8vgrRwdSsfMLhfAMET2wz54nXNosQF1fd317epszelnqY1nYFpZebohW9tCVeRM5xx6TyCqg9BZSDY3cGHOb7OSnKENhYcHrEUT1vmUgH1kB3V+sOYCOYZAGWH1jOSb7BzQ+m0o40tY0fFltxcJ4Binua9J8F3W4PlNQcivKhgd28eL2TcHl+R+Mj5GJGDdlliZgPsQDjs2aFLzXY0ZpJ+QXcAlvT2pQQYW4eCAhiGtZg75HgdvxQd1P2fEKVhxF4FDhyAoTTg58Y0lWC3pkxdL1g9EUgnIBDiya2WKPE8y+DVJy2l0YWmeWaNqJA7LvA4gCwKDsE5yL1lzVevsYZjuPjYIjkMZn+PZUnZek4TutbwOr7EewWWZ6LikOTC/n7Z+NprqyAQOb7iTObSMiqPcltL83pT+v/al/XMrhcdg9XUr7bEt7d/bMv51LN33jrkSZX6ebTTa3BlyfeDO3e3lxjoOpAtdswcF6wBFzTks1vj/PFObp3To4VKWd/cpngOVimXyGE5IdOiHh6GMt2PZ3+zL7cNt2f+2Nwv1eaXpNCyTeujUUSYkGUqGWUPkMtzvXZT4Zq3AFZh83ERAlWs9x0RQm3Lpv8leUTKabBASMBOe7T+hSVN1mXZ61zcJm7p5bGFOa5Bwjnmk2Hwo8ARnclxeysvppbyec+zCFlxCB8uXKRo9SO7SkZkHSHAk/YY47AKCF+bAuUtgFYyqbMP52+wB4B6pVTqkGGx3MVSLDLeWKc6NwWCTv5ccLIH6fjRo+O8oO1IGV8nAct6YCrjGvAuBaU59Ngjcy/zyofOQmTcNWZnTr/vBEh7BPpSknPOi7x4nWzmX5/VZLS+ZqoPPu8hSqwWbkjlwGTp7OTuEL13DU+ppk3VNguw0ltvjrURgy0galDkAS6cjfBGbCFTcP3BKYRB6AZgmZJmi3VRqp30PGvWwheoMHLhwzJsZluBkXlrVFtrhp2kBAZSGEQHiuX/22dkMaLr366+jPNND0gqDZlAzhKvPEJrtms1WDp7vQcmNnRedZhpXKAiRu6LcQ9OMOiVxLZywwa7573WzeH8ZVJ8jT/27GJdkqacjUpbWaotp+iSJW+PoKY1ql+wwP7WRjaH93l+UbP6j/EM8mOtWVstrb4eYOT2FAUbF1KpEVy4wjQXI4mi0D72ywfXXtWx/3srlz2FBh4SRbI+my/mv57L8r6WcH8/ijTx//pvdf/xB2V9zzjvHDRzcehcNFauiOQQW8ylmTsPFJStT9te3YUICdQ2F1zkSJpkI+ACQubOnbkevkyx6/yXeCzpe+VTMPi3Vz62HiZURwTe5ylYWHNTTdpWFcoDzPmq39wmb7IN9IL54DNjCcc00ZdLyUau6bpItU5M2G4kfHSDp0hmAysWNTOAjCGqAgGCfTQvVBmVBul1XlQJOMARJHGmUDSbgXN2oDYxkdTiETHMQedNnT/87qBZgCPDQkiDqjI8m/A3Fd0jT59zQbbhesyldVPvA5cQ8l/aq71bpkdPc5NANMXa0dmDdrCnUVZOb83l1UE+spKp6asfWYE1mnEaoVf6n0mNrXYwESEo2Ap9ZbxNTDB1R0X83A1YR0PeejvDpmKrnbBhoGMRjDkhoOkvMIXdOT1InJBKnCzUYrrw57O2ZeZ2qkjrbhGcIuI1TDxpkHbbhmqWRiOYBbH4wUDbNJeg4mAJUdYqZ2Rj2aJLq8ZzMeSgA/XI9hyT/L0fXg8+Hsv6y93rtUA67K31KjTwLfooMk/KPYGJGTmMisUHXA0PHpjexMhtwUzrapBa7Zl52acnQuoNBp5rm1hGhEq9pECFg2HK8yHYwgHPvWWNK3fpTVEvQ3liTkJUxZYHcnoRzSmixWYa+tcfybf1W/lr+ahWlu9V2F3xV5G/rodye0xUoYQKNarF3a198v6rOMijctGW9W8t0G+a9Dr57nsvyx1K6v3Vl/mMu6z9WB+0BiUh1I+hBksasmpG8/Rrac9YSiAwZdRNWYu5cLOKWdxMVKja+yMb1Kp3CYkwfgzWgLfa62eXbXHaPu7L/e3TFwZhp1lgN3MYsbKCf3dtO6pGjV+rs8bRA817ipoRlYE4rpergR/4vVm19jAGWgE7+Bm0rJ60KbTDyARgKD0/2H6yZfdDSPjxAcpOMxikKr/ZblsvHLkY0NmGsoKNLciSlTIBbJllbY9s+eFM2A5KMy+uoVphiEqClaBJ8K4FU/e8wXU8BqTIELzrHOPOgSsHuvZykYLDRwEZv9vh3xeeQjwdYnzNLLF+hLqF0+IF2oeEFTjVp5Q+2pOxqutX0AfftytfSVaZEl5pFYvbBQ0I4gK0Z9lqcqkME+urP5zxsqBNtDphimNF4jnJiCKNU7xkBFxldZo8+fIBtsJc5dcR9HBaVeF/HqRJQKU2r2cMVX8OJKG221EvjtcdQMkZbdNO7+cdlQN/lJvPevc3leDx6UDjSAUPf4DRFQ4dqIw8yhQXp5VdNjpUlTu8ZYh2pUDO3atUlzs1hOceBK+2KLjIk5l1K07Cg43c4aHMUq5SoLe6/947OOx6O8GUxJGEuTXvjvXbjM8o1sxcVLGCgyRKoOnvRRhp3w/skTWhj6MqtChgaBu+V53A6q/RQucFEwjWGdzlhkcprer1m8K7dLfHaUwocEB5gtNK92dAj2+bZOi86+ZNmuqBFULPeVhUr6/9aS/m3Upp/NOKNPCeUMQZIMjt4vcgK0avDI+xDzqsRxhhZtLxe1t96tkJ77V6vVCb+HvfFmT6M0J2jHyDEknPfnUwJZQp3LeYnPSX0hvyY9fqQ2OTnkP+BVw7PISa5SmmRqoJZIxbI/Vn13M67wtgFkxIKnSZZDujtxxw9zHez8+/qCUn3nbk3JBJUbgyMg3r10QHS4d+Jg3GycqF20sGZLvGBJIiDZfRdRG26j1BGphx4zweCJTMmzQI/Q5QcmaW5YSiVmceRNv1kGp7oZJDMFKFr3mV3F80xvQECKeTq+g35OgnhBog2KAxSW1hYuF5XkL3yuHJkpJQl5dWBxcl/LKHt5O+C2XwpX/wnX3UmCkGXhyL2lWYYbGyxzczgfDBwnjNDqeqX6lptR/CgdjCIwTnx7jrKNs02qt3T2+kt6DmJl1m2rftQ/6xr0KF2EcjMiocYjOVMFciy3L4+7Op5HpqNkAGdL1eOnV34t12A9TSr3i5mkGSgddMYSNAWZ/bFZjD7qYdUrhnKujrkTMJ/GXWdl2qDbBNK0zqFWmiagpGQxsjOjqb8GrI0HQ9XnuLVaR3e5BibhI2hNpzK5BTXXP0qhVKGKP/k5F4Cc6uZp5gphygCAByl2kuU9t0mVQ37PL0cD0lmZwQCbIw+5t6QIWuwwQjbpo/MfWljdveyv/J+eb1KCVOim1JBsjVkpEASBuNUm+icDeQzd2Zg4IvL61Lab23Z/sdWur92ZfcUxhM8NzmjzHnBh3ILIUS1DrSZMZzKc/ccAQQyf95v/ruZfvuqGQQHHftZtyEwRCAcmlJTTuoEpkHxRXMT0UDCMRyG55fzleJEhYF2vNwXYRiv9fu+dE8h+HCg3flkoqQDD1xlTGzg5dJkQ59Ok9Qtmtp6utg0VpkmgJs7vqddWA1CT9LPlMmOKPqYJJKH4IcHSAB2ygzenMBG4JAnhc/btPOHTISRjARAgekthutIBr7EdDFHadIRY4FiP9Tswr69z25YmfwdZ6s0p/DDwwm6C8t6jTeTMEpw5LRzmiHZbCow6lRDFjWu3J+nz9rZs6icdYxZL5vKeD0Y1Cl3qzN0NdTwc2L5T2OA2cH4AK638VqlN5MFeqjZbtUWk8G6IJeAIDQO3t4nBFYttBuDzDd5hlUhZPZDwEUwg3IgTVDFT3GLWV7L9+l7eTw/ekpaPmRWSrdQ5+9yKXfjXdnd7lxQdX5z7YQ74xsTEUx84ZHWDJth7NxLRlkg7k+jXTa3hyHD5FHT4FbE2IP2HF1ruuVsfJorEO3TSq3OuZYWtIWmlvKS50jz46F9iNGffR+0pSmfJ+N78YGkMZhW+lXHDdwg/sfGxtWJhkEdOo8vKo2Z0xjZCBLGyyn8JJuljPtRKZ6BDc5ucwgiPFkVmz/HrvIM+adNuAyqbEYCFxAI94zXqMHW7JlshsYduBxrgEYC84NwiV/68mn9FJxRpLpAJVnReJ0ZdKqZhlVT0oh8dunxWI1NoMpw/8QV/7FFY+ZxLIe3wDMrJ9Q1CYUL2CRHNVemiU7/4NrY85GJk8RUTiL84iZ8FKpcs5KyNepISk4Vh3jPYX7AAiCZIvOetnI+nsPTgFEd90s53B2i437fyNnsvnWW42SSKvFyHk+l8OjTmslK5UXz9zxw10jGXNdDNDWrfSKfWa9UTE+m9C29pFDjP84T/48HyJfbF4Fye65MwpvDpdou4NrFRoL/uBvkPTnLBND6LTTMlQuoCzg8J77HwIUsr6CfdNvVUFa79e7VG6VFfs7O8KcCsTTmGEoEjol2e5wsgyoBHAoNvn2f3j65MenwVZcRwd50ODZAkm2VnFkxRMlFxsPv19EHlWrhyNttMsg44gDlB4sXvI4yn05picl+ZNB1IJlZIZxRNNB432VXVGJsdobtyp3PV/K9JHLK6i2UAASOx8tj+Xr5aoDUfZt9mQeRNmJMewPvG4/hTsNCpjuZ3EpLQagmOCBtFxtu/H0lhmyKbgoNbBcD2x3nm5IyFT04FSXJnGDBQWMTg0CZkrNa+rp5IGYniZqNVHFZXh/cF2hDwjruTWs036wAyIrJRNJguJqGkOnBx9XmjkmXOWTMNYLLE5sWCAD+HAa1byczY2AMlU04fR8iY66EcbJSrrM6zQjTMJiKkrQJ0rZ0rfKDd0B2XXW0h+50yEmbjGols6KEBbaA87g1KmzA/aphsM2F5b15J+6eU0HJHKuKzKYnc51/cCfSMf+lmHk23xoDDG79QEA0fcSG6QU0ged6yLZR2WgkO7RCOUgHnapIds3YhEsXmR8TG9toQBEw6/sKB+DVmaMx7GRz/cBUTOGER0nQJiM9B6ym4xLsFPDH27Xs9jtx1PZLW5bHpTSPTWmeYn9UmzmzxxyZXLvr+s0mncwDl2ycpIamHUlC4v41CHKPbEZdwoPS2VQwRJbl4wMk3UciNKMxK9et2uhLhxhbS47z/bm0n8JPUO866CrMetluzDDVw7LgUEB0WSrhLJ8d1bpx3azt5UqirQvocD448+VH/afpe/pA2pyALjGPXqtd8PONZQcBEqxHsDonodXsoArd5XL2wdA3IK67mDaHKw8nPDSjORpVGBR8bb9aYhuUUxMt5y+BZbqr/F7NuDjpaqfbbnhuAjlgy87Pz0Ig6FqC0RyB84mjzprSrPNzeX17Fe8y80jXHH0D4X5l5lGddoAYKpWlShOrugS8jIzUphc8MobYc7Bl+crXlZyeYxXqTJlqhsp/r1xOccGkD9Xuf3X1Vj8NTsR9YkzFsPfwc0xwE9ZbBvju7Hvoz8k4YehWOZ7jmlEwjGsOrA5pG0FbmR7GuEmCr87ilm5zZPXiwRDUEQmst5b4BEklfFjn4aA0H+WG0oh0CBhdZoIOwYGyjomQ2LWNbYwiuA0vRJkTBD+yP0pZaFJpyWUSwSA3pviRpTOagbKvz8qC+UtMItwiI5IHiU0eiqZ0evKw2YXKSFoc6qXXTQNbgiNiCtZ75Qqb3YNZpmqHCkWFCUuAw3oIEwsDO1g6Gfv0TuU7ronhwTTBpBizkYS16nA9np3PgP/Px8C+7xTXC8RRKwKeHTEB1Q8mGHhV0tHGkm36NpXT40kqEs/JZi73JuMCXzILcrRF1dR7TenZ8OPsdg8w2BGXm/JL+cX1gnG2g/swmE6VzYcGSJ1O6jTDs3ybaNUjlEfrO5zL4+2jJpycFJxOdjBLEILrSEexqraTyK3jS2IWnm5phKDTN47l2KODyd0EIDseR8sgysg6LU5nZnwFUrfrxmY85jm7Z2Cgp06DT5pJZkMkQJBkkQ3StSYwAuLnUKK6iXjYnETVochuIUz99aSu+R/bP5zEZ7aUdvHuS+gxyAMJCFO+JrZodGeHOegfUFCAWHJutYsPrIUHn/iUBhY5pU4cZc7yl1Gzr61E2+otWQnbjqgA0wTHBe8je0n7Mcs/AmPie2xesDm9BKFCpK9kNcCotnJy7LYMkGBtjIBlXlBSk6qsjzXg5xuT/oRGf41qgMVZh8pX2Wgd72lneM25QSUzGrxBl50HIs/SjCQZEOrn594AKbbKfUcckgPa6pQ+MStKMPwAwK+HcDOX+oMDEudHH/irOuelKGh4mV78J9dUjUzEEJPCRBbqNErUoUswEgiYktDJqNBKE4CYB05z6xwu69VD0u57Qh1X2SCHEFJEk/M0YNnGUNAA8TAu5DCW3d1OiMAO+nmODPLYePgr/1yiMy5zALw5J3j+qPpR2062yCHGgZPu5JqVJK2Lw+/Uha+lUA9VXzbzhBpw4kk3HrnIZN6oqaaYpcM11JnzVipk048XkydpUHdt7OuHRnkiGSWCBHFuPFfZ3100KTUkzrGxYvrJFpF9sG3vewaojuw9B9rVgW/3w73znWSI5KyhDw+Qvz7/Kuvd4VRwnpKfZAMBHe14Li/jSzQY+ncis4Tv/T42HHZjl9BuqsPuc7FUJUvSN2zmcGUMmcOT7jZnVowZRDOzQiaF3lPciYdNoKEhlHNKrq7SOUS9zpmJXlssPEcf4EeKm8m5D4++/t1LksVN59HgSANjuZhdMOObeTdsfjmPqfdkQVmyAj0w4Gn6QZfONXPtNED69yl14jWJS1pGUhpBvm1iFAL3R5MEGlnzZhbMjycp+F4fUkWUBjYWpjm0vKg50IIPGUCxKEs+JwC2gRJZG/emiwyj3idB/qRLXN13Egy/PoPsEPvNFLwsp64OQYmbaWravLmp+X31tOU2zB2amEbHxpAfyxA2oJo+yO+7Y8z58Tly28CZ1jAW4aCoc9mlBSWoXxuCGi/cjq5NjTC6o2tFygx4NgRkBADtW2DSM4jQWzR4cmaSphIkBsnVVW57jmmJrGUZC2iF8YnMw8ymWY55EIOmJF4yeFEdLOfQZ7MG+Fg5kVJpXDoyXeWr5RAS0/1advc7TSgILAQvXHZgMhAgwVp1zMnKyj1Yp1wu52vz8zqdMNU56tvJWrdQjYl3whqgyTrEwcdhgoTy8/q5PJSHgF4QP2DLt71oNmFzcmvDYAKRBT2DlGXqP4ken4bSS+tsHp19eFaH1hlIzugZL7IDxA8TijGY1XsESwODZxytmh9EElB70j+zSppNHNDaDzsbrDqiN7c6L/2nEMX/29f/Fty5ubvapmvkMERX2ZtKwFzSsy8NW+F4qQgZ0lUYnIjSjUydU5PNhEaXRYuX3b4LYu8Y1koYdoJpSlJ+C3wTCyayFcp55mpQtuoxiGrkcWdHstqx6fhDeUupBQWEwNykU1DpQma3TOqFTeMhUmPykERVggiblwVQaU1kxjaocmytjas+QHeoHHDeINeqLSZTJKvNcZuSYekYM/+mmiMkBcqZ0JS5TWR1lZguVpYWThVIr9QaaBRywghcXWOzjNKLjJn5IU5+O6SuGZUTUw8ZQWHnJoKJqpg+sm9LOaoFjDnmGNEZxkMhT1P/C8YDDrSlT98aoLlwAUGc2TF8p+rI7BkXmN0Uprt96GJ18C63IZGcO8tVVSlpBGtAIjO4bD5fA0Zz8MdsdJnNmtTXkp1jyjwvgXnS7BqSG5rWdQRpqDN0ZfVd7GOKn4RngtK5uZaT4FuskWqx5yhZNuaW+GFqpMUNz4mf4W+K63nOWakiBHFO/CrhcbYBwXA91WSkBgB5uTmfWpI6g8TQrOPNeLcZIDGuJXixJiWAv81Btj4HBu4+aWM2FJ/Lxh7S1iWs6a7fCSHpkpRO/WaAwAhgzTkArR96A8vn/nP5snyxwcbrVKode4IgycHifts1IQHksEjGRYWalKlyrcclOv/71oYNc3MI+pT7HM7SslLH70GbTI9KH6sz5HUsL+GHyl5T9w/DJSsIseXd3jVaJxLwmdnzHx4g//z055hXnFIdNbxd0BnkZdHhPMep5QAneHx56lsmwJcDqySdz0FKuviQdTHz+n5y7kt/Hzw3AiTaXdg0qgfQ1J5acYrj+RjzUx4u5e0hSKwEhOHvg6obLJUqP6oS1ykDCMLX0otMch4lPEtQn2c7blIowDZzmBalFuW0yqHm3bxXj0c2dio01A6jPV9iVCVqDcsMEljsnoAYCHZ0pbs++Hxkz6lrB3vjftqgyElv2UYIInFzazB2A1UTENQch/TU5DWBMvDEQ2L4OgpJiK+NocpwPk/zdh0CL081ZxhLP8r7wpf3KW3GNPtFZ0uGn6Mq+BzKLTHlXmK0JvgXc0uEUMBY1zFkqXRCWdiMVf20ePAZMPN+igdOMX6jeoqK415COqb2mMoA/8McKcziNwggOuDwIfnCqQYP0nYXErpy6/OpVnjQjr6338u39pvEeEn1dEtRQlFuo4wq4WEKBlinBlq9gHtyTako43lLGYHXihzvHOR4MbK0NLty9CAoA58QfEoEbeWlZKjcSzJkjDXYH2nHVlVaEKHB68DudjdhzSdO93qUHrM8L9fhbUpEkxHBj3QzroP/ZUdYo2sSlLRgs6rJ6Z4yKbDXYz55KqrGfrRUhfeLIIRmp1XP0gQ3ettMFrifHNIEu9vD7bvNWyYmQk4E6RyBYGbN1Me7voyfxqv7jwbFyePVBo4xt/n77DsrLKpTkisOFTwhqGSWkJuajKQSSVwSbnpz62GvOxKc13T4/9AAyeIVL+rOVzqOWQjrIWdga5uPezSLNRsntfTSYgjsn85dm84ch87TcXlYyvm3c1l+S6t4sMW0ddL4FHcfnimjHI6z5aGGtw9zuXy+uPHwtNOgE0xoDguratTKZlQffgmpIjeWm0Vm4r08J7YHeTwNdlnMvM/j9Fi+bl/lhAmkEzzTPSYe4/twebl4OZmullwVKDdrhMNGoyfHXFZTD0m5JZyE7DDCt2zufD02K/9u1kSwh1jeXFS92ATYX8LFPOf2EGjEXnG/2XZhLddNvjYnPYGYgIEmGyNS7xOBL2WM9fOJRRKUOJROq4EfHK9ixQRPmlc0UVj0XCN0qk/9p6tCSHsssCwMKg6n4PV9PpXpt8lKwACSDSpeQ2nbdPG9pCq9xaxknmPNnmn21a6wmQ/wBXxRCM+MUz2HCYj3orm15BPLameDuPZ5sCRqtbPMV2/LGlB8VvwQuMiAGR8LZEy3NF1lHDAFkV7/ssDvfP7pCXodU5szjdxsOX9IvjDGIPO7qYnQEr4GNAtp6pVNqEfXnJvVDMtKgQB7WuUQjt9HjXAdj5seo7oVbZEJVymth2TirlKShqRiDamx38VnNnMcg25T8dsd5hndzfVwVsp5iarHchfVDzgkXpaMuO1v4kDElo/yumSp32T5TvBdchwFvgC4/HwarBTJkjX3BT9PR6s6aK2OmrhymJGhIioAg8TzAGI/opR0iXfIWc6lIrDiIenn2wK2+PAACWdKztx4eR/RCas+OVA/DrvSGzE9Ce0Sk66jmazlxJYL7WEr5fdSlj8tZfrTVOZfZheCowem6ABesUk2JW4sYyy2q+norpM6oB18vXFDW4bvzO8sdnovL+HEA8VH5x/wDLzkkAJS3m6znTMClhsaNcw2uIgYderwsf58VZ44bD6nB9r4yAdZ6U7gNI52wA2GgNMGdcMFhqKgfkNipfTr3gxgZML8HaR/bHIzmT4oSJqnohLC13FN23/mCtMsac9XkjWLhszpx3nezHMBkuCzSd7vhnLYxdTEiudWdYqlbSpa3NDHplxeL3IJxcj2mRVRPmICATth2ZfPy+fy2/ybrk84actXwzqsPTs+gu+n3VN5fHgsL396cYgU5bZzi+bLlaMKrxPM9+38Vs7PQTVhzXC9BH3VINN0hQT4/DxTh5iV1xiZMbVms2YXyNKAVZgSuAsDDLTUHHx8VX2xJhmRVodnI3DIlCMigArarJL2ebhjsAvWVt7hgprBmdEmdmsghhOazTNpSuBvEgzikKhDqgyQS1JoMqvTnIQAi9fiGKoqjS7ethgje1zDBo3AiQFtCQmnMl+4mOl842A91hR0uxydawf9ZpPyJK4IbWfJIMsa2EeJXWk2NluYR/0Wrjhk5OC6Fd5wFEm6e3tQ4BaPUq4NVy8qGPX+czgpsc41UDmMYU0IBIPbP9zPHCGsCmieQhWznkN+SKZN5p0+CcaGlNZaYaUIRDweiWWqc9iblX724QHy+/g9KAwYP3RBeq2ByiCR/KUKrFIWqtKAXoArMGUoYDfYAveREvHzVKZ/msr0lwiOSrfAeM6RKVJiaRqRUi+7aadBBxAz0UvM4JZqwpyZw1Km3/NU/LUpzVtTmudGbapdUoaOJ+VCD7ltF2Ue1l8oJpK3VgnedrCx/sfEtAs7eqhJGjlkms8DtRuZHpfO1iAwjiEj9ETbchQnpUKORpV2s8RJ7wiKPmgtvK+WWdtNeBAij9oNbiL5luCo0xCNCUqO5JyxqJXD5dwbscImAfBDUIXMSgC2Ob15JnTxqWgxxoXqtO+DwgOrgFIWBgC+fn3jQSNutl+8z3xGgje+h2BTvy+/lz8tfyq/ld9009bQAM5dOUuXwYSD0vbr7mv54/aP8u3+21XWpsJh6OWx2kVe0thkjK64TIbXIo1F0i9d/F2sIw4Vs87ULlcLfu5RrRgY4KQ3Y9LAdB1HjLAsrgkDT85ZcqgWSguES5foDGvjn4c8X5oh810nO4K/851dVfHrOVRQBG/eg8ahSpVz8DjrXCPhKUpySOeKorN5R6BA38435h05R8lmynJWrUOFw7WKyw4x2sERy9kJdk5SF5CAgTYrlur+JLNhLKGX7oLbS3Ze8cWe5hPVT6p3amamFHGJslrecr95f9Ro474FZxhfUIwxaLii/ENUQBUyzeV4Ogpnsc+FExJ3NAij8FlTPZTNv+qeBBNCq7oq1f1hKqIyUvjCHDgcIvCjU4nmYUQg5R6TTf/H4+N/PEA+7h8jMxuHmKNbIlA4h6IPSWAdaP//i4fUEZrXMQrgdfulvN6+lqeHJ2cxKxV8nMr0MulMohPyJakObGZkZihyTtHZtFP3aS0vzy8OJcJGS50x/pQPazD1sWx6jhJdDfBxDXeS+ehrVWVC5f0p9SIbIDuEGncTHVXpKgzb6oOeQklk6s6pDxhPdkyWkc0T57fs4zMb8JG8XUKNUIdlWSKmES5/nwWuEuZy0GCCA0aZI3NgyLRughBdR0p4WOQ4TKfuXYI7JtEXUjhT8KDuDJERyBRgwSaeZiMm6UV2i5PnKf+0CyqMCxFFxtT4vJ2qd7iIC9scmgcpFL+X38s/r/9cfr/8LlYlXtpG00rO45L0MIjbU2DIz2/PgSWDHeU0QzYHc3gwLpZbdxvwQf+p9zB03vJpsSJwgmEtJaG6pGYa2pJOLufi5sBeTzv+9sYDwXtCmcY9Wpfg3OE6tDsb8IEd6uEonAA2x0jRnMtTqWhaq2XjoNKUwFsttevEQ7K4OUjqBFuJ0zjunNswWAAmg6dIRofjNjxFKG4oXyClwzCYSihCkkVBFoanamVW0DThuhEEmJSkhV81gLGxBBmd+4x2Hs/K9iYcuNiX2WFnn+qOhOtSE5BPS2YNYR9MMGk3QDtPw5NZuC5DwxT3bBfepkww3J/2dvod5Efwb1KGyv2j4/4a+nFt2GBIgKEeV5tOyGcx9KgG1Q5MS7MNgyjTBhgVnLLWOuO6zhgXukre7rW8789XOlMd5fHhARJ+Y20saNXFoKR27wUjdjejWtZwuyGiZyfMzlZibmpv29DesoFpubNpmaPLJicwTn+fyvZtK+PbGEReCMgoacCH8CM87aSvEDBxC1/+sZS3X978d0BecAyCI2aduC6DccorgxpzjI6jRrjQEqDyJJVFYisOIqngcBQCJ+shBpnHzYqA7ahQOnjdJeY+cxoTmBLbopTlBKyONHZR4TEmJlLxElN+fr8PmgI4CSR4uX9LWq7B7WNQEmVaH1paNbl0dM8HT2wbQCgjIFjjnzeFJZ0GsFM6mkC/ydnMV3PbqY85weVgU4XPrX8eAWSITMhSpovJkZRAYMTlSwkna/S4N6OlEqRcsjY2JRlghVPU09NUOB2dhzJ9DY/Jy1PgixyCdQiTfMx+Uu/8tnuztIQvJwG8y2bI2+LsZa8PCSejfzHcKHs3tjOfUTmd3uyWahIxv3mfrDzg8JXztSHCJqYC8RDBhTzXqdhmn9MA2ykcvzGMyJEaYotj6K1tWlLmb6+RkV5mqyg/D00m5LXTaJAnwBMQ3PDwR1M/TtnNOuA5EahMQE7hK7n7FnJc2RSoqZ4v5fXlVSszDSMYboVbd9lFgD3H9Eo9MyHTX6I55xiOMpZP5ZMwEM9d0wgCPqRx1ucWmCKH1ELDFQI4jzKlmSinoPNV2zYy0Nv9rYkTgZfqB96x2nKECuQa/aBlnFLQU7GBiApofgm9O51tJaGnkzOg4KGqYILfmBg4B2vN/nW1ylk1fAmRbcfrvCcrTtRXYKRD4ubwXHfBz/5PCZDnuxDMS0KltANEZSPBJ2NmC9rr/uxJQxnqcJ3tJnwiqTTnKD+xdScQCPa+NuX091N5+/6mQ8zpH6fS/tE6VIhACPD/ZfdF2o+WYbgrn3pVA5KtD2tpH9vS/b0LfedNI+A7/Gkow1+Gsv2+BY7yey+FpI4cVW6WmZZGF5xMNSugRO0iqyN7BP9TzbAlgJ6Oy2aNydk0y2pTYrhGsJdbt75nKi6mlMOJQ5JZAoYDOwBa01RJYjQbWYoRs0DYEMPlqm3ndx2pexrCHJXSjbKLkbCA7nRss7xSMYShKbhRDLi5mq9qnpF2Xm7GOcYeqO9t393B+cwOnDq0HjrcSzJ2AqR+feMclvyPL2JTulDnoCxLHSgemCMcL+X4eCzf/vat/H36e3kcHn0/qgGCK4ePXdXdZkWhIuuXVkOJm9sbNbwaU5yjxJfD95rmtJJviZWB0VVPQjHKEpgj5bck5nPwEvmcDttYb0PGl/g1n5ksng694zXG4OehEtNNRzF9bkJ4pcAzqKYyyyEjJZvHDKRm7rrgMPSr+hwuUUrKVshhdHxXPXnFt13r3/cyM2BpsD94T5RUT9+fxIYFPoZYIwQN1y+HB72BKfiaqFmYHmgjBW04+5YgPy/ydMm2uR8G/fyWMN6cPACuDZtud8XLeV++tI9DFYe3ZAklmQ5TObvIZGo6WGnoDg4P89yH7PctSOnuRe4J+u9zCCFcP8hc4ZxSIcALTbrUFXvMPVdpd+4rkrQ0oPnRZQqIQms4REb/cTOf/3iAdFLZFhb0nGRkiLXO56Zh2uDIRsZ09q0Lr5pUcGpQ7rJI7nf3mg14erSXcvdyV57Ls0EPDuP8fdYGiZKP4HS7uzVASqTFN/DUyFm0C/c2mZbjasID5r0PDwdncUjyRlXx51b1QfNfgl+mRhds8i3ItQbHqm9dAuzWRJTAgckn7kSp77yOfM35LlUba/bJLBS6bdmFtWM3BAbJV9UJS2qle9lktz/J1hU74884PKAfWWpCy2EDoKpJwwACqPjYFCocNx40FJo2GFBk506wHzsxvSiCamLgA6/BJRtfym4X3LxUdDjbBoNipHTZiadCAM5Y/xQmreK78EtfNoPj98N3cV+gEzEk4Bbm/2QzzOuZZiuF5z+eQ0PenizFYB+I8xEkMIRgbsvt6vvZid7dloe7h3J7dysWK4n/0pbD/cE/Z0AV8IUBHooQM6mWU8x7mbO5AE5JJoT2YD64Dmks/dL+cnW3pqHBn3F4P1we/HeqouP+WI6Ho/h4pY15cPBNdZQNLWWRTWJ1W2J1+JXiZo1jVboxqRVHj48dGn9Wp0rWGTo5ZkMT3kujbdj92305fD9o+KBuHTxuOko/I4vlMKbsdZY4BzLYJZjlFEbS2gkyux3n/LazYemhjuyUtcE6wcpwDDy8ToRcaK4k35k9IVeXRgmdZowfWFNwTpfAzg1EORRO/mjCKyYlU3AnhQ1ISqnkpoA4PHbAyxGWYEg9xaC12uipXpHcY18T/XVa4tWAblIAnLHO4aPQ5qynhBF0mJrCqV9Dm48OkDY4aN2zGJKuUqVs1cCW0og0nEAFNiIonfbtlLcEHfAgHWfw9jsFIVjuF4ErJVM+tNoJ5Jv50iVZ9YgQznFSaJKKy/AlZzEzgvQU2ZDGE2CEY1PGP4/av/f/1Jf+e1+avzdl+RoP39Qc+/k1TurqKecwLYaRp1O6mCHDvlAerMGtrFZYBkMsyOiardnUwZ4JLlqS4iuWVR2MqnNQ7Z6SxUiHQo/engXAH7dHGxx289OeXwdyRi2k+7WLC2oRnNI0/FDBgmNL+iDaKEtHIr6qsYhd2B3doRLO7InP1M65ZfvhXC6fLmX7p62sf1nNyrG6l1z+FjguSgrpQ/1ajrtj4IcEdDYLLkdrlm7nczm+HM0UvB9T5wHH/zeYJoWEw80Dsj2U+/6+fG4/B//uLgB5IBaahL81v5m9UE46Nxkfwct2HQJ2bTjsLuVl/xJ+oiVKN9YipWalaXGfdX9aUs9cdkEoH+byPDxfOb8OkmtuVWbYuEuBAMGbcrCWltXAgc+tm32ajnAwORMG/IwgmZpoqW1gkRykVCcEL/ZxDkk7vAasxCHCNWkjN3QGTdb5U/cUSqHk/llG9lF+XkcQZ1ZVpbAEFbXu55BJQsfi+SkZZZzxGpUEa72qcQyOWKihiGPfwkOl4UQiQIOE3sPwPsROrBzxxTSG8S+jEehM06/YsgHTna/7haqzHuR2wHNkr914mBk5Y6gSyK92ceklCbxk4gJWCc+SRg4GMgyNWyLAO1b5owMkeI6lZxeOJ2xypWmUG/AN86bL0+PEpiOMjI83WQPrkjCOoSb0milb/+2bJRDsdn3gMHdA+tSk3G5+i5J+Xv1vBk9m6G6zc5/ZjJzUSu62nWDv+j2wIfmBjI45dKX50miW2T/0pb1vY2ElAK2aZBnL3RSTEzkAXFzod5Nu4GlG4MuhVjaNIO1CC8qMSf0rk/bSbFUX8lTQmGlSTtENhR9G8MiZw1V1YtmC49Myle/b98L3y+5FwjxQAdcvfSZlViwU3YWQ5+Gv2I7h+Zf0EmkjkMHTdaZy2fy7/WiHmvsD0dyOcR+jOKs/ozPLP3Wl+VNTmr80pfu9U2fvYfJyU3YvO11YmGSnqQF8y+4oTsWid5NB/UoqlaUodnNsGiZTbrMUKjmc7ejz5u+rud86JWKfm8/l8+WzGRSQCiUv2d3t8215eHuIzvZpFveS0nEO6aT6YKhN3ak83zyXp31kWDIsloNT/Pinm5BnRuOsjVlDHoy5seooYDA3SeClqOuVPD1+itnPmIksp+isnwJO4r7TcCJzVpnDrGeqB1y1u/QxyOFjKm84yMdwFRLyYPAaECufCV9RuKbTnRmlsAbGD0NjNiisAJ0oHX/M7JKLKw6elnoVo6sa6So9nM4hGZaK1T7J+ZU6toT7uB6qBBiCI2RvxAVkhikmqMHRwEz/AbMYTIHX/VX7rbfB0l/5xlyT9CD2WBt7nvjwefscQXbLphsu531QzNTNp+2chtk5sI39ajN3GYMCtvZWsCRiNZYIZ1DppVHzhwdITubaEeWn6lmrwwcPUIkPTiqk95DJ4bAlz8tpZFNgfOAMdOGeypONGgav8094VXVAUx1rSgquWQT9B4jdpOc46nDj+GagVh8DmjwpCUyntuy/7aODtm+uHEmzpN0i8L/chjs53EjHxDIxbo7pbtpe5UlDN49AT0OADe40POR74DKoNNqgGhEQlNglEdhOW+KLzorOeSDSFjA6SN2oNBas0FKS6HyVHEqvm/PNW5lvZq+ZrnodRiSGyFxqNNMlqB5eM7hljjrg/nGQcSo71CsNCiyxAbihX0CN2k9hZ58LVufyPEygTZU/lzL8NjjvXI/Ip305/P0g9js/hgJJTI0DAsoSI0HwaURxxKyYZYlFiaoq5/l4X9pNGEFDWmzUkKati2UU12pwRP/7+mCXlOcl6E52hGnqc+vsZzwQeea6jjPPvBw9WDg8KT2fDk/leUxTjaW11NKtHDhhvblCJgQE3rfCHtURqW5Y/hvWd7+WX8tf2r84+5qA/bx/9l5Xsj0Yps0jSsXoGoQqKcfL1qalnE2gkZxHzrpyNnXOKrLsrZ+5ieFeXD/3k+fr9MF1f5266QAzqrrQtAY+ysGEX2ZWYDp1w/RYc9AZ1n+oyLazWSiTR/UKpZlYuutoDiciTumExEAtGoM5D0ZHnRw9ovyShhrPCFSBqgcKULO/Wu1Z2Q2N8ICNsNTBI5PV0YjDioMLbL2cvaf6b2YzStceEhhs3NaAxPTZzOdmhbAeYgZVcnG5N06nLDsPkg8PkA5UguuIkW1/Eqg1I5zGKGvm4EGpNhms/SIA3IRDN2UObsHPl2dxtsf50Z+n7ek6d8MxAJgUYJuFHprFA6YC+/6CAWFgdGYl6UPHA5bcSnmbZQFlDutSSg4mDocYSaBuu13Caumh2AxA8K+j9Na+60m7xkXCiVoDNBCAWtWcVKguOakl1aRBnjEE5soP5aCiwslyqZLDq3lundVNIJf7hdXZGgO0qhOSPpddEGglKGcnz0ML95I5DinuPSqaak+leXCemmRcWsVh2ZW4WfUd5DXN+OF/btElB8x3GP1vnbjj8mUJFcexd1Ieks7+731Zv642Csz8CRBV/54qqDpGVYcaMNz0xtQSDjEAndY2NmfV7le1DNf6uXzWso6xsCqCkFbCp8Mpqj1KXqdiwMoOTEuXpfLo3+XZ2msdXlTwWC2QlXTvI28t2+jkL/sI5nlwOatG9WLISbm3BCj+Cdfzv87/tfy39b9p9PtyiI4umTOluG7uzFzhMMpS0eedeLX0k5xKKQwC/eaSDlc0zZgFTWXGGdDlDPE28GQ68VwrvwNflMBG8/H19GomDgxQ/Sxtao7v/oqVv2ijM3F0mympWHE+6HL0gBXnxkl+ikmSZmKoe6aYKW8FgTIFwUSOuZAHjIoux4yoaYcm1kYD07lRfXA+SVJgB5hIUUJjmoKWHK32FIqpOpK5Bt5qe6hTFAlC904MZ9QL0lKnnialyPjRtcYVZc1t4JJCEO8z9j4uQNJNZKOShRFswMi4KabR0S4MvXWSjiW67pZw3PkSFIWn45PzMuAmPj0/BXeP4AeulP6QGt3WKXfpgizeRiYKTlUNNZlnzAm3DWHTz7TF5S1myKxD0GXKIQjbt4tdSKgvYje7Ts03Sh46r2Q5LDBen6yDE0ozDEB2cDH8/05RHlCy0TQCp6tjQauRb7UVEw8kSJA50gSAH5mntTgZJ91ulTZD9um41LU1uFWDBDlpkMvpzOHTd2liaBNSOGRuZHgQeZNfaEOsjG4YFkXN2izF4TyeQ3teh3s5UoAyhfv5Q3Yh4H1zkTKF4zOefWJjb23pv/Wl+7euNH9tbKaROULfAQfmeXiOL7v4nHTTh0uoqXKipIOesossrpUmvXVziZem2xKNFJ/f+oMzDbPAGZEwxrwbnjfNrDob5drZzJnpBC0nMsK+yDJM5/i+M1PmGdvEgljOwcR156RDTS7gnbZd0FeamMv++/R7+dP0p/J797ufqWLQZKoc+CQLukKd+sDCeT5LUsjSxo9miAYtBGm6ugTTc5iDqMHuggBPKc1a5B7xxdpgn3Dvftl+8RlrcdbuIqiQoDZNyOyad9s1AyYY3SXnMeGVkK49deBadc3R/WkOqebNcqPJsSodeMrTZNOE4Mm90LKObHaOw0q4CKPgOcjZ/H95z1RaPMMxAyPD3ZhxDVcX2OxYhFVkmqw5fiExftkZwFfJObYBlBZ0Vq6YbtQSG3yyT1x0aONzDeGazxcHXJ2t/uEB0tQWCIOhQiyKJuZJc2E2LpBllcxuMNY4kDMXNxmYn6L41628/fHmBtNEc44UGadlAF2xSmZhYyy6vhs9OFMZjIUAjQ4b0nU2Ksg2a3etZmlSWYRFOgX93R+BndnBupuDy8mUtYc+utlI/qDRYFFGRxf6Bg+iTlU84/YQlBFpFeM5VAhAlYl9SmVKQwBPynpKpXjeDiuJCeR1Aj1KIjq9lKJdiPDdPE2obDz1KVvPs0Ec4nmdt2J3v7sNF+w0NbCriOphGDQhvjruVGNenIMQ80v7zLKDkhqlBZeZAUoNMYqNm+VKCKdpMvxjKM3/bMr2P7ey/rHqIqNmek3qUXJEWeRVQlnloARlNjaNFjaVRro4/OTkS0vcHN6lggf+LGR8zELK6zVg6Y5N5oPjN9zKLYxtnR44rmZQBs4uaFZUOWaBS1iiXXm10GHKKkYoVovfIE2wuQ2sG402wYx7g7iIbmjpw4zjeBuNwGbwWXI94ORwA8HS5S4eR5kGlqeZRRpgyFDJDHGt369WJjAybFAiy8vRsQ4GG0MyWGe+eIBx+ENPasNdR+oYkCvuVmjXGUBGcyiDZNViy5uFJYCzPGyJbH5yODoyllI3nf6t3nKO+B0eACXWEq8PLMYz0Rwa6Ka9iUAGvel0DM4nWR8HQuLgrDPltujKORj2c8y2pn2Bk9dxLuvzKmWLjNVqI92VKkynQAEPhYqvZgmuOw+HSrIVPBRwLs8slX0KsZ17ocACh/Fp78iUDw+QVQ/tZmeBbie7l45AhcN3CWqMRgVsREwIdn3MnfhTFxnTS5zI4omQZS+hGKBzqIA/O8meBFvrBqLsJWutiwb8UrdhAlKy+x1WhTIgu5P8aCKLN96xL8PjUMavo6RmHhQP/+HwoIsIxFSzhv6ks3YVw1tKzPurGYONFbSu/SlmeKT6gZPKofLw25IuJCaTROk6IbGWHv5rYkviMDmsXiE+ZgM8TIDlJO1aQpP9HUf1yHD32OR8S1rP8ZaW7jxQMLAxxgNcRzkwTwbMBiyqD/MOymgzTZgJmDXk+AE37u1cljswisB0y2Mp3b92ZfnvMT0P49M6FkIcmmHyzJtJXTafpeJTV3NiTAKg2Kw3ga81785QZBza+rO5clxDpaXwpe0Wm6x6e84BSRA8cYpmI7BGvu2/lT8OfzhUi+AnNne62MCR31gOoSLp9tHAwB4NyIXvNDwWyrnkrBgyoupyA5xE9vsaYzucXb6tugNpArJ7HzlbsWxLvoRhpJzl9EUOfA/SfP7VbZ2gogImM/oq29WchDk5Q4yb5RBkRjiHDobFYvuU6lRvYMu55urETulfCdfo6QkMolVP6s45Y2FywG7IUSUEx/vt3v1I9UL1xXrivmp8ndWS3XeaHyidqI5yEFkdeqYnJLxEskhG5TKbhhnVkDvYV6+t6wsBQB3FXF2VrjPnq8otISNNQnJdWxWhikPmDI+2kvt3U0hZkSzOq/vY4W3HS2S4Hx0glVCRDbGQmhykNAc+J19rDospiZp4FuJ4Q5KFEuXTZkbpyfkU2mD1tac4RZyRu6QFPqa8Ze+NrY0K0mxKUcuOlFBVDaYBsg3POq5NHlt5CLkbjQkMF96acvtyaybGaXdzuCmfbj+V8WG0dESOxhfpvh6MdJ+hMZxjGFWdKcPCxj0HOpO6Tnz36CiTKaG8yLRfY1TcYTJoXuc45+Q7TmzoM9r8w4VbylWSJoi+JpbKoKItxz5Mh3J3urNJoJUXPFO0t7mh1KoD8dCB574PSQeqkxrRywMXgOWN0xVHdmQDPo4YF+wDDpl/nbWfU5r2NpqBD/9rKM3/Sl37awzVqjJJ59cAlDMojbkhW66Bc1Cj6kwas1/UG2lk4TjgCiGQdfSJnSXZnQzR7mXbmTXrp0jXdCviZcwRl8S+b3ULevz0WL5++loeD49Rfr+ehQI03gCCoMQmSCJgwOUdLJASM8eOmmWnEYJrgLVO0w0LPEQCx042hzzOIaS1f1v+ZmPjOtwLpQdGvVCoUGlR1fAsk8VQnYP8/9CAaNLtgqNrAEM9RbUF2TutAQmQdJaf+icPRysEmpJYep6nkJqSLXc53xsOa3nXKzsxkkosO+a6ahF4IEwfYu4LwZzDEGiDDJX9c7veimtXaaqQCI1XEr0hnbYgtXPuV6kteDvaEHoVOT5D3md6iZIoaXbCMzn35fB0UFWDMKT6xdYxE3Xka93n9fD0wIKgvh3CsQprwqTI+TypFKk6c+CYjahlVlFELAAO+PAA6YLPulGKC3QXysVzMPK5SLvbW1IBkKHl9MNKRLakolygdMkRp+ot02NQikoSauuwIjMJgiPlQ/NuVFqzWb6VhuU/Obn5VgrZBI7JTdQJeotZwLhMM93OcZhvWxDGEyxXoYHX4Xrw9CSrFTTnpGWkDqVxP3mii59kZugBgufE1AcGWm4i204rfTvanLwErDFKLCV8OLTnVD29KaeQp1WKhRt6jaYFs3VUecwH/8l/12AXySNAdJ/ldhtl2tVFBvMMgthlF5b1qAr4ZnoctKocS8C84vlPc7n8djGL5BnePN7YlBn/PjpciZPe7ArfPmzReA5s1pytUgdrSWlahutkROkrfRDvHYUK6Z9Kg8Nc+XQ0MDT0aKYYG1teQoqWHVMOwupWXktEGiOUbPiCvn55LS+/vZTnu+doVjyG4qnCJJRwemuutzEbhkO+ySFhwBz4S/KMcnri1Y6MTinUn1NvQoAhsvQfCNrNU1CAMLmtPp9j2HDVzM4scL5cDUvsnmNE0u6CRpaCAhQ73ju63ByoOSmRPQPj4x/lHzIXKK/Nb9GvT9H8rG5Q1Z+UNWsTKp22NdltIsmoHE0YHt1NZIHSZeArApkRLOsMozaaK74u2Dc8XMrYQzobUfae2uAvJ8TFvSQ42ejsXswYNT3ZN2GKvevcmzTXbt5uPHh4b2KFRtK895zjFn5YY/X+2u1nn7fhkWqmnTaFYtrj++gKOcvMc0/+pTAatmgfHSDZ8HU+seRfmgAAzFMAuE40I4Pgexms9eGouZHx+gOQPofsySCac6Cre4lEaTIoShC6dltr+eXfX9JiPSenVXD2ahKRAD2bUHA/VTB1yiIntFpaDA5uGpszDsXatvL6+mpGxGfx+i9huks3kR/m5pgJgKui88XsAPrHFA49oTyL5gsBttreW2az8Eh4mK3DgsRbECyNudTDSVyFhYDJLD98VodFMU1vDT6XWRfcvCl4pw4SOwchnqDP6+mcPYauV45YH9wxOW0QnMc1TGS7HOjUZLZ8ToUJRjf4M/5atJ3DikxGwfNQyrdSxn+M/rt8V5ycITYnwdrMFKPgJjBHNlIl8ToHmgmYW2CmZFV1FKnywymURxoWU+4mVGAXHlZCGjc4dgKSd+WadhHYnFKI8ckQzApnSMNWuElKCKTsS1P2z/syPkU5Jj+viYFY2neBbdFRB4usHpPwXJf0OCWTBEYi2M/Ji4Q+1D05U1o5HqYMwJVkbihlCPQplSOg4oSE4kiCchuMEAfW9Ye4dtbC7mJ1UkndqdXx+bJWEQ38tfw18LltiWbYebvKTflzidE5jZL3qHw/gkKl48hGwdSEwV/o6Q/xZ4o58E/ABYnkfg12gY2zpovJAfs46KXO3eYsKBIPBBHgt0gUMSAeG0tp8D9+VADdduH5+Hkr3X3sDWSirGV/luDpVijFgzDx5jrcrDqCO156uwlbv6UX7tEEA1OYXRwwVYBiRn4Oizgd9XcxD/7DA+R9d38FmgVEyRpxYZmjA2sZhe6yTcY/Wdh8KPene33rbDi8BJirq0tO3JOKAE0Aowfa/RDO+ykG00MoxRz1HGRugyoVJDN400Jd/IaMdQjqTV1c8hRZBIfWh8lJiV7bgWKfohtKQH75/lLON2fLfbI1sBdKdLI2HxjKoOV9kJaKkDmwM/HKxFzcSMzCucRALjaqpsF9fM5K9XBmTffqD5uTAAjW4+yRdrGMkmS8vgXBmIYV1viM2sRcA1ODcwSeStWxM40RAkqCVCaAw/0x/HGd203GQhBz/C1d5DWBfUplVAcMUfq1RHl9mw45L9GtxhyB4G3pt0vrucRXxU+bODScaV7en4nc0v+Htj9djuRM0jTRzxbfAMRGMiurq3umZe7/ns6Rnu5TSybJ2AD4YtvI86iqI0rOnx6RyECFMIuMANzdzPRTffVdwLXYjPb7cKTHMi1jcSFgQ9cx4Q/ZGN02eF0SgCuzxwRDYgOIzqCD3wWlyvsMSAEa3XVu80ssAHgYT8eTEQW6Qj1m4SKXZYrMGOV9SWDnnrYQg9llgiC/yvi24oWlB+3nIFTvvoUrOXjrmlNMFlRxORY/r5uuNXx+FEitt5JUzWEBZcWwKra5jIMsxxITreJWaZJlZVc5P7/efvWefTg/tA/XD/doCaWy8EjXMSApYhxyXDUDns0zlme7ndAEP1/uIs/MOfiOEO91AOrCYo2uzZAwYiraG7fY6sGlyGRRCirMAKXxxzWuE88rgoOPQ+v/0rf1r2trHwMPRyrMdWMTb6Gt1EQasSVpSEmNu8M2SE0zSlizknSShxmj4g6eM90mDI+MJ2ER5tQD5YzXxpT6swskGJA3OJJDbiyItmn+oPQQwBauEz6EiPoxVF327fH62I4vR7sV7I3o1vhQBOWRLmX6msUm7bjUcSZdRDUI7t5Tdg+QSuXbRpH1pF7Cjw7jTcPUuKnSTNYx4HHzhObiwYl7Pb3GzXhewr5rn8uN8eRG/UP3wUWOxfEYp6oj1hybVfAt0gz1Zyy5E9tB7v9bF/pV3FPSoEJCNjQVYk1xl2kRk1lbfyAATGarIPK5gTnxPpSCgX9dhoAL1sgDdoTKcCgLMVEQc3gBom3/vPvcPu8/B0F6t95Pc7unNcjaPsQsRrhmT70nvPxHFgjfu7Z73rXx2+gNaLec+eWqERIrdNufOTZStpLyJLwCdkomEUYUGUpl9EL3Jql0suA6M8oObxxK6Tpca8Zvcpqh+Bwudod2eywk4N6i0Jr2d7xYSeUhHnwoZtP7iPPgHtOWbLmEExSbUTrIJTXuaVNXDutavmUWT3XKGtvi/rOF83sFpJndk/LSCqNTCXNpFsjKr9boOD0s9Syg6+PgT45kbW6VoHLvdMmFZEGJ7+l6DnWaTdAQMQjzO4sZXToFuJoVp6PtxYOIe0wuJ8qrLojSNYaKISKGyahcY1FfY68wIaw4LT4DFVthikByREsOzMIMyElV3PByH8m5N4GyjFX4dd+G/zK05b8sWvdR0CT2X65KQ/kcuWdcVqV/Kv/Oa8OGP5MKyhdTi0Uc5JGTctBPtzDG5d7ks74soZknQz1FLCyN2YX43n92gTTAHb4a3R8612u4zdj20qLjHXeMDZUPHGlo66E9nZ/au6/vQk/5fbNIshgpBQs3WhW0exRBS0oEp22SjLlZJRajp+yj0Lg9YxGxduH3d9zZ/RRR3c4kAVseSDZwFjbW6BgHJIeR4geeZxHE+AE97D5OVkZTzDWACwxRwmW8ffPvljWY9vP85pRasjvaQgLpoXGMEHmNYKdIPOQXGIrd25iRoIxxSV+AhFyif5dZQABb+nBmTClFX/up7vlukspWEz4ellH8u9ruaTyQmle3rADwXWSHcOPQYRuBAQaH0cPL0IbvQ/zzGtLJ6hgL/7Ojh7ZXssrlB49JRtnlGEYNpF6OV0dJxi0fSq4rztLL8U5xUWGTBYrPzoAlLMRu17CMg1ZEB0ohTs1yLclcirwmneXdzrzl5d3SXp5ejObgoWQMdwuLugPlTmhAlV1q5wXxedxiyz8FbaW28BWNWqYkQipks0wBqxSGJs6Kr+QWAgrjEa4HlynikQROQczenf0MmXTE7YrqlCa6CgM4+CgI+/isXcRgtjwMwfPdndrjPnA4JjwxzPRE1YJtvdjEeM/0uzDuWMP+zGcAXB3s+BBiizLjpZnhnjsOx0gPYFzHtQvMGjEB6pQWZiq8R9zfv0xfJOlzeEiu54uY2N1BJ6aHXx/a/q/7tv4Wrv24xYv9X9aIxuU+TXcwxQMcnmCQULTSr7Iy1qkD/Gzt7RBSoDZiO84oDkKQ3E+D/G772C30u8B7c1z/6QVSV15u/tsQxOlbAO2VZ0KnZuudxVFi8PXYnr4/tffr+xihIGV/m2zlxb+m6KK013Jqi1NYWSCnHBhOSaUy34ObV5CZ7if5joL4XZhVsDU36AhbsdRzMwKaaUGMw3SLjBMepEvYZfFgeWqSTtetUdg4sdglER9BvARk4eHB058Pmj9DcXA8w1koOWs1GqkQwIMxRfOqVTINknFVFUBuv4vjVweCAPbuGJQg4AxORqzIoDZgRDs0uym2tYzRgPd8T+lXa2yYa6PPw2O3xOsGw4MQLMZ+smPTiZoCSSA96gRwqPNOzJECydbPRQp/LSMDKmLC/HCKOyc15sbXcCoSO0WOVjZwXDdw18MlRiDGPbbzpEFmXEDpewXVMbIdztFh0REtQzixMF62JehbxL92b6ICCz1RpligvUa8sNfpdDWLGcI73RDXWf7t9IZl1/1tZ8RSiyUWS43+4vV0U7/PpEVwyimwMPmfr2OQnOdYQCGoUHVERrsL3gjoKrWJnRjLSnKSDpfY7uI/mq47jsO7oIqVobKUpF1QtCjwUJvYnP96+dVnCzI3GC/fUx5oe5VhwuvzfuKgYum0xjOL4S4wgVgkkNQp9ghsd80DnyMWYeX6XuNg4J67U48guROoxnN1uwmbQfkDk6XAFudWFslutEC+//i+Pb5/dB9web3csX/ua6cZuMNAbnSPuO4zsbAwp2kBi4U3iwcrFnL9EnJIzIr317C/43mGd0osC7WILjZFB75H7tE5YpyrbvzUAsmJ6Y3BpouM33awK5JrdLqGbG4/3S3UvVmJKsUK6RL4E4sIqCqclHyQl+ni9xVrRDzPSp8sF4xI1zT9hDw9pCSP/GsMFmgoKRpoQzPrhhtZKdX6FndZNvjSG1ILLOB+28X7+LZXOnf4ctDNXAJ6aquL2G20AdpVTiXad7qm5OaVu7T/nlE1rarExrpdxDmg/8VpaDjcOy+XGXRZKI/SFZvusiIp3BjSlQMy06EwPrIdZ3HQ9WEEMtza34a/tX8d/rX92f0Z4zjk5T6yiXlg5T7uZ81nNTntn8NKn1xkyMNYxGX3aCxDOpKTXbz7FkUSnpqhULeECVIrbqHsA5/yYMsCqZyQdMVM6rNDyUB3F1qp7rGIMoIXZxUcLG3bXHqkg5Qbffh1bIS53nSpdPv77NaIwIBVAbgP2Z2R9RYO8l7vYy/fVbMSHJ2+x4MilrsE31bGxD6I+aUsqu7Sw5sFAQcIZgkobvAppLjiVfiyWZBZpOnoQ6fJwbZ7665Nmpzi84DqBszjQoZLVKM2B0EuIYqiU9tkl1SpJFJkQKE8vLbXp4iv9Vnrk8far+LXNgNwhonBbYOcSbfmZWgByf1ljnH8ujn1QNoGK+WQrelp47kBGfhhcaVhNM7821mSPIcXkJIMFRawNDa5WAXuOD4d29PTk4FuPHs8a98/f2/fX7777HNIcMhxHzg93mJ85zrLrW1HDy3MaaTIwXvdBQmd36rL9hmLTMOxW+Owzxrk1jpxau+jfwQGqeceywJu5MwbltCLO/Tx5kU3IIkxEQ832vApsiuUEGFbz44FntgQ+JkBRrhJX+PEEQRPvqSJffm9JeyCS54OOluXWa9dLXGaSLWmSMVDWy3wTtuN3Tzd5u4Hs01uJG5Ycka+7JTPQVSFTO5NxUUGI6MLw3Nx3XthuPnlmUFw7q9xeoKjQbPZhbSqbnK6p3JRMRws5VM16jASVwYx/+SGFk+heMCvPOzesqGJNjjsoguYgtsI3vN1/SoH7+/93z25eX/vx/eOXPDkpPSwfTxMLmzAIymkdBd+btitHTdlmIyi/JNCxunNQw8GSQ4MhxvXh+ukjRejS7qvO/LQYFDUswP0HkkHITsCIJCkzah5hxKC9JHPJInMUjmSiXAfpbi8Fd/Bom55y4rRqGMXvEtHa7q13KaLkQHf3SLPmwP39OHUTr+d2v6XfTt+PTp2cb8Yq5AuTcrS9ul3CLd3CnMKsdbDKnyksz2vnSmKYkx3xRLoJQ4cDyTI82PGw1JgWawk9KK79+5Vc4vr8epoWx24eOpyvPOM5dNCS7qdgqB+6NWgAxOYCZ5uVhx6FJHyo+Szt4jR1LBo4QtYoItAOCEJFGLkhtNFvw5vjIzEe20A9qF7poC70MkgF3mzc1BnpMzkYqWeae7bkhsDeR0ew/CYexOfTXDt6+9XTbEZrz3Uj2/PhsfTLTpfno9a8oE5+vkSUrcLYYDyQ3Tjw8HcITjCLi5ZJmWMMXijE14eGMA1TBA/v0DSsbF5Tldst30QxoeUA6WkiwutRGx7MS61conVkGY4lVZMmXFcuRM+EIxwfbrsHN9wBd6kN8z+EDpvNlMI53Gm4YZY+7j5zrH8oCjbeu+WAIrHfTjfgIcMSZl53lsgh6+xkOAmpyCWmYAjD5Gx2833wgdOYSqLKpcGYFq0+hmH6tabYr0McfpmShwPlPLBtPS322Ur/Lo51ohpMVpgSkEEZ/fGQ+OzRjXxcfcxihrOy9vNMQmCOzgM3xc6EuMyC6YPuw8uxyhKfJbgUy5nur3jGR0y14DP9/JwccuvRhaT1PMiZYLfPiz4EaJ35SSGMA2FiQmBzT74LbZ3bGTZKuZXmQiUxK7iHR4uD2FHxpKB0TYlYbWVLoqMUwNjVo5adyI8CERa6aupZwuM6zdbXrArLO6QmwHs4ytJ193vwmz3t107/NMhDsTXzHCHkzjH6waS82DGfSg9TI2ByCkJezHx13WNZQKfzZkskrT7272569spZ0aKhOpjdGi6jY9nuz9VMRzedD+Z2ezh2sVysg4xY3+Jq93vI9RsjHx2CqTLuOFzaLExhqDjXDJjCObAtherK7cp3YSE89OtG1wZmTfLKEZ7qD7raKHjWTsAFxxyAct9yzINfiaNw7x3ASeGi83efrLoM0malPi4a6dPJ8dqTLIVgHw/arKMycnyEstVXzdpmnk4+v1QiEEhgk8KgwGuZ8tFEMmIeI8m9gxUhDfnL+0XoQb9aZd4pnifQBJ2pcvULueLeUbegz+9QII9AIhSyRMbU/TOGJyBOuKJ6xoFiqxcrNnZ9A5L+2X8JTJ5sQEjopFktxSW646TD6xCdhyl0WvmScZNyIlfmtLqPuwKZZyHssKlEeE8FN6U+vEzXLQMjy4+HOnOex8U4h26L9Ep8cAIuhfxmfEsc3eFAIAFcNsB3GfLOUYMgiag6xzZxhCfOZz40Ui62D5ncdRgeAzDAh4IUwKfr140dat92Fp5GiPw57NkFNiapFgPJ9R/a4RnqSPOmFcd0FGa7MPwg/8NH5SDgAeVvyPlph2lXsGpE0bYh2GGNyLQAU3P6xY3Mb6auVTgmnu9klemdJHujK64tuLwPrskFueyTSpHJuUpJb0eXfpwPe1GDxnRgG4fTmymDooXp6+lG3JoHXxhMsHrOcZ2Vau2YbpL+mpDzv2I87zdL4fVw6E9/vJogcQsucLhSpKnqgYI6Ra6aQO1qOtgw+NNJgDTDMXm8fLoRGQnfAnow8NhR4h5bFkL87abxEOVaOI+ngu39oe0I0vfAPmxQEPprF3RyFW4NDzGoPgSHS3jLAcBxfLP/Z+OqNwrmFSL/V33asbViPfPkukpzI68CYHZ7ePCnjZ7unlvb+obO/R9hsZhPAOmPgbUpes48j0KMksmqHrHpV0fr0azMI0MT0N7eP/gb8UB59GG4/L90r5++9q+Xr5G2mOyHkpcUOa38iDZPeTiRgu7Ldy1FBkwUcIR7k/GuHzaPlkgWfgY9JVZQ2ZDsQSii8fAm0ygyz8Ag5Shnm46bvvWwBE5cUtjLKkVOVIGTHF609FZoEhd62Mx4ImNS8lxCgE5UancLMdNBUdFlVZXIWZ3iWS3cpxxNEMPXclz3ES42QDsgPdCWMZH79C3h8ODOmYKh44yyOf+PrT2H83QL6gYFFdP5jFoAFXUSoNdDzq/pEQwviRh3oc5bcwcD/MGp7PwAacbgRIFcMyTQbdyDjiAbb44aTqOaFaLbBE9K+TplOLx/hnpGDl4CBkz+Gx0Fdp1LnV8UFgCQF8Zb4GzrvuIiWWrnG4mdPNkwrAIoag44oJ1zr247MO3B/l1Fv0xlD/gTI6lXLohHGRUyKQVmFxIYA8WTWl1p+Fxe/WzcolxO4pD83n4GpGGjdHlS6GBxsUEwbgHZW3Z3zsUbc764NgR0HZ5f7Fj4RCuLGmjgLkmt8VCD+/WBMinJtVk98vOwLHt35nfAhrgsyhOLZ0HJHCNddM4hMJCkWFS4PMADjHa9BpWf/59Dv5Tb8GmkMJu4H0XW0J8DI00nXQXdDJjFdhc4wWZVnQVhFdmvU5UqEBKXptE9nK05x5gkmDqcBG23cz3oftHSMDIKfbchRUan7ecTQ5guscMuJKnm7pnf/bQhaplS3Nntuz9HA0P2uZ+DZYHhfR4kBq2vF8iKO995/UZjqG8cR8wrS5maEKez8/tz9c/tT2kU9eggumRw3BJB6w5jDzMVGKqgTeLMXUXtB46WKcYmB80SZikcH9dj+KMNB/8mZrK3CFM8XyWkfBPL5DSapbOC19SIPOrMbMVDgzGOzcX44M3LsuAdXSjxoND8TKLGtv7YQx6AR8CGlwKAvZOmaFbeJ/qkNxw+eFlVu497wUYjBOI8Z2o1uMuXMQfBr0ouXgEeekohHHvbbGDWP9jbdt/bG3+Y3azrqbicHNUUILVZ4HM/GJP9MIZM0/EAsKiJjfNnFRpOh1beegyufl3fB+j6Bt2xYWEv0WnkSFojEV0etzkOqh0sfFm80qoGWFNZTigyQTd8e4QFBXI4i222OXGzOfHaKORSAsDC64BHn98MaJxysrPI+kVaeP3U3v3/E5ZY8lHGc/cKuMMg96YlLohOKMW7C2cccRQ6SDz9VkgWRjMsT23QC6P0bEVlSuDxLyuQBtgfm0NXfD84Ofh+DzM5sNwTb+/++6CAkzOTh+aDbhyukrR/dIFc/ARCqaR8H6yq4EfycNdBUAiPgulpbsfHuLX+eWCMOMJKtaY98O1YiqxQBw6BQhsTw1YGzIGVnvxwCW1EtsO0dn3kT4obJVYtB4C/fsI9xrCc1TnHzTGS3Jmt1zg5KJIbLGFDPH+bNxWpwRdtbvH9qn7FJnpbfMZ1vAW1QpdP67g6ZoOlFAE7DrUtwyck1qTmH4lGbrZP436GXS/dG36ZWq3jzdVajQ6PqPXRTrPy/eXtj6v3vPP87Mb+Ofbc5hwX2LZKuQEiT/dhu68UGh6KNig6JBTs/SRhMkuBOw5qVdFs+P9O3GeAwYCWrNxKKPpU3gH/PQCiSBevmL5MGIzRBpZ4lQuZYZINmS7xRc3HjeJLfHUtYf9g+lmFFItwsDc8YXjQ+hmT28XBVvmlKSBgKRbG7N09kiCsv/EHIMCmRZd+hg+hvs2RRHWvhfww+RIRxZz/61v3R9da3+2iGc454OAnIr8a8wG4MYhvGfSTzG+W3yoNtxcc4yCvE+tqDjZyqSjgrqymJaDtttY8LLlB8OAzJXhJMSE4tPyqb2/vg8HlRYZweS2UNi5ibRUy2TFWoA4moCZXqOLcGRP4w1gAUB8fktI7z6Evrs9GOkAL1R3aoxUwQmvD/58eHYUPM1CKNQt+KqVqaINWh8HoFvntPKPNx7/KCCfUQ+QnI6LwlLGCdrmgV0nGftOWqaTSWy5rLkKguAAhR7zZf8lgqq22c8DMw+doOaICNYI6NKUocmYGC53mZ8b4jQBqU225gdj8Aql1MBRTHqITIwpYIVSgXmoY7oCwRxmxUNo9bX4A/7BWiyzs11MYiFGcWzBZqiuEOiGB5nrwyKDQlm5MTW50DlV9pDUKX7mGjnWZYuHsKBwPJ4hqWLdsX3affJgg/d6XzwS9pa8Vj5XRnUPIHiWkPCxXcOIeouUSbfSjwENqFbbD+34cGynj6e2+3Unt3H9ZW3ru9Wp0M0ylLnLKny1/b6125cwgeE5u+dMEUmMjySYIGkj1zDAlpkCD5QFS8l7oUAhSmG5OifMxsYaWt521dmpDlsnkHIoB1PtEiPm9eMF+/+C3fi/30FewhRVULnfhYU81ApA20B+g/KSEiVxKIrF8ub8QZGR1zSO92D5CrhnLDF6gKwWWuwsOi5jrrHU8QTtImdDfAJNNFpkeFLgaYlNcYLpUkKB/LW19pemD6RyR3hwL7MgceWHyKmkcEF/ABNB6tW9PawukliYpO5UfLC9xUuKv2XqmuYAWSAri0MqCXUWKKKlVHLct+Px6M1Whq7EC/w2/9Y+TpHLQfFSETG/xGeV/niS03nvuMRgksCoMcchwg2mgfAWAfDI4cRp2geBbABtfhcFi38aK8H4xcjJmJedPq+30u9KSsiDBN4Gm6CUTVKyUD4QSZG0mQoLk+CfyxZP/XEMuKLbLFpAAffPOa24tLvjs02Tk/p9H9uX1/b19rV93j7bZdhlEiTFVjnHKLNU8nDT4xGfzVR+6c6UJiluyNfOQw8Mz3sYiRt4cT97CFKopJoAo+QClOumLplReJ/w0CG6q7Laq5TFcptCxso4eA+PImAKP4Ps9rgudNi8Jv0ssTjrLkFu5izt0pFoPMVmF7/FdNjRPae/REYNBHP4l3gTdA8eAmyQKUAyEjDhaEk5Gs92WR5aSyho6MDrs1yOITTQAu+4+Ewh4Xz89Cj5e/xlbPPH2eaErtcCdZ18xs5fzm6sl78tZhfpsHXcCwfJCcZLNKOJ7VYz4qLuBdVwmVnD+5HvnDJZ73VwylRlca97n+CQvwvOL3+mnMWBpfhdKp+fXiBVDuQCwyLBYoUPBCI01IfccHJaap8/RSsvdYHNL5gOapp1C2+9LY0LciPJKWayGScDLszovLHnytNM3mC/j40a1mOA8Ywp4F40L+h0D2kAClEUydzHyHFGAyrD/ntwrF5eX3RAMXfjEN+XD9LuiK/sHB0T8PFj6cPYmGoUCcgEjo2xNXdhkelu96Q3uG0pxarxx9fqS9l549LNlPxO4+DLO4m/H24fYpNJhClOM7xXMMrE9qRD8e/S7eQeKIaL9SU6F7PK2b7iocn4lK7tZu4Qi7mGG7TjfXL9dJ7m4Uq1jB1T2ljdqSLgvSxSiGjIsCXzgSh2ucwqE9PizOrtOYQHZUE0HEIS2MmcPkRGifb85aOZJh91gGq2iuMOmSsskiiILPmIQliO7XQ5iUFZXMHHWiYJIoMFO8Vs6bwICdm9cchkSqf3LfxNCgdxpGO6cR9WzU0ojpXCV64xfE56blJo0rWae8JMH3BGPAk4MNFGg8FTINuT97FdNdSuORZ0Zgr14VWpJn8JziPXmCLpImQMbp+xdxmIVSO3/QkYZH/zsKtnjdAzCi44rNfhmuMpLINdYMvAYbIQeL5uezFCYjQYfeeM+5D6RvH/pbX216ZKic5x/3Hfdk/BpTUM7XxSVszykdH69vut3f5+a/2ffXt8fZSKw/Xh9VEDypWpjJW5L6ogykjIFErxVxagaahclm6VGmpQIG5f2NcxtSCHnkKlVHHQpUxSVceh/LMLJGNnZY5AtaFQubRBUZGSuAqqKkNLxgWNXcd9WEvlVomT0hto23mT0j1+H6PT4WanI5CPh2ECywNIo1B6MhDIYpca4OpYNXo9zWp1lw+LF7H/a28S3+HDIWgfl9GRmgB7xla71ofOouHSYYgHTEcTcJeMm7TgDX3QLIagWahtRi6GD+Acqg7HBvTDwEfQT/haMj2OToUulK1zmgkY4HWYxD75s96o0E4gZmubF/I1FzcV75pbQx2ZcSfCqQhsEKI2BP7Lwc9Mk2FSAofVz9984DQ7thNK+s7d7XmXDjp0iFnc71zBhA4cVXChTizKL07wlgFq0C/W1c8P/p7aaBx0cPDGbeiQvMdM2HMU5lriEYgengUBhxODxz471nT2Ls4b4+G78zuDs4ymhQYFhABeSfQCeHVKYyUZY3p8jULFZruukY5RgPX+X9BbjJtdDt63YuCnTfxWh3H4uXSUdD4ULyz79CGJDTX3it1eGi4rOxyig6Pw0T3yfXnfYIGSmLn/SSwkLwV5YvJ0XZotcSB7AGeUq3lN6egkqZ7rlEtKozK22P4LcGF/xiHWTYFrwqhgrM6OVuuw3SiNh/uOz4+DGUqbXpoovvqksh1f28u7l/b622vb/utmBDCuPNB55DxOO7fm2x9b2/7c2vY1JMWM1dPvk2YdaqV5r1N6PoLN878zypguln+v92XmwXPgunm+LZGJk4tLD84u4hz0H814DA/cKTKSZDKkZ6sJnn3Q7Hhfmob87AL5+DGNM/OiFAm6AGy3kngQJpjqBwD+xpgELQYtdPcaN1EqMCh6FEuwF7BJMpCx+xJHw0Q1N3mOvIxYu/WOI5hHrAouI2ZPN0O5sOpaflksjMaUvkv7KBQUfxtb+7fWbn+7tdfvr57iknWH6K7eb+8DI5vyJAJT3ce2WJOGMW5CXWjG2ADTCWvhntw3u1qKyBgZGnZ2nNoQ4lOCZQEGt8eabBf4ER0YxfLl8BIhTiQrImdMy/+S7nmhj0u7PF7a5d3F1y8xmwPkHF0THRHLE7Cd4mfKQ+sii0OvxP3qz6TDZNP5ZfdFLJKHxc5qTZ003FZw1y5yjV00gSJg5dYlQI6HY2JlduU8iBlWJrtg2IvNHR+PHrR2XhmNyshNMRRbTe6nxWZ/CbORH+Aao0+Xp/aXy18sfPw8zYHBFFm0ZJevDyIFcn6IzvISkIFEaLBanNtZXLD8odAnlme2NjgYuTJ0gVM4U1lQ5zmC54aLzUGxOsTnsrv3+qdqS+ecFo5Lytxq08775kBd49Cr9+fDTscJ4TzH6cpUV1TB9NLH1l5/07Q3456R+gR/EwrLNbpr3r8GFy2FGmy/if/tD/Jitb7bHULpsouYE+5/1G0466v22d28x14eX9rnx8/+Pj+exVvtxNabHff++74d/zjKDOn/CIdwlmSYdFAcYaNSoQwAAQAASURBVGCIuy5hcFOKNhoBA8660cOEQ4Jn6h6NjFDgdZW36pS078KHMq39iqZVMkQ+e+5hyPjUA+GnlKQa4bHNkZ8z/wMMcx/+GjZZNX7KfURszlaPhwMvPkLasVjiIYG3uI5hmrl7bl/HrxF1sGEm9l58pDbUPDSPh8f2/vA+grKwZB+zgFxu4Rg8RhYwHEm2Z1An1Fsjzk/CM9SP6ePU1o9rGz+M2l6Js33Ztd3/2rXD/zi07n927fr3q5nOchqPm6cXZFyykg1iWmL5Iv1mlzd/0lAcj6Bw9NdwNoYigqyJDo12PzXYJZw3UmILH0ZpNPM+CtcUXalpjimfovBC3fh++n433LBAojmeHxyXuHl4vy+nl/b88Owmt4K5vJrgeXTzS252cXKBAgEdaOiiEKcKgZ/55fil/X74vf1t9zdvHrp4HnQ1rKiUUlfN9ZJmwQF1DCu5spwqHNfCgy0ZbIFliQ5pXUJdMXZ+zqpRWL7kQqcc4VWPpA5bsw/gCxx1cvsL4M4DbprePGoeouwROSeQAKFQhMTB58zPTHPc5dGFk8aqU5oxwBzA7xCfRArv9iYPFeNme00ExpScuSpSYwRcydfcZXYRpPSMH+AgSO2Kr43NfmG9qk8w2WBZt+SkkTi1C0C4wYz6FIdc2jkeDuMdgyyXG4qA1xnDEhoDInuRFV6XyDD6Hpxeiunz+BxFN7FTCiTOUR/7j97zBtAdjxE1y/vP8DnunYVn62luD8eH0IOzF8A67HtAFXyWwB1wicc/x3b88xjxCc+Lxsq6d1+jW1YjzfQyZYoj6rlz2CUayUom+OHoP2FHuPi9xpKHIiu2/BDJhmVnJic67dFoXMwoapFLJGGdDB+elzb73PH9dAX7Ryhpdv8UL0YX7uumRMnQcTZGa95AALoYAnCisbkuSROnIWYSfYwvnJ62yOP+7q69f9qr1xSTIiydi/B1butLsOA13nyc7UKeHp70+9PbDTfpx9fIuX6cImzq2HxgZM9/vRgXcPj/HNrh/3toh38/KDfjVIUIa2wkRhRQX3AEArNKwnvx8nwwEg+pja1UiX4vtiR3bR8nv+7RSY3hM2G8kVwNxgk+y3ayvO0obNdeCo/LGJYlKESOqYZAQjU+2qH+Ov3aPk2f7DR4IPCNpDCzZa7UO5c4lQCHfdgchgkaD7Dx372Z9VL4+d/lG/nH7g+7hzK29X2R88MWFzoMziyA+ftVzMnRrOWI00JdYhTCGFk3vEbUPI5RdDu52bWPwcezrO34DBI6YOowJa87y9PkRqcIQ1sxCH4JzqIuRN0hcmnWF//pwbQL7TtFhQcN/ivMCZYaXDNZB9PZNE0eFg8pOhlC7Vs8cNLPyDXBGCMTNN0UAyNwuOynOCSysJXdnbEQ3cn3Z4ztsniQ8jPosigofEYVI+Avrg20laTDuZ1m4Ze0rcL5+VX56tx/vF+7VpCSLp43pxYkdbhkkRx6TkgHoUVCUn42/WhhhM1AIeL+tDno3ys0oNMXUsj88eEweB96yH47Btb8Et03RhUU4/ataWwCv5iuEJgHQj11Qk8AOPTdITD5ND4B7mBJSuermIRlTbfKlxaTnU9Bm7s2eY3CQnwUU8iLTTHEDAMzawy3adKwElzDY1QX/TGcuby219CR89y6Xf/ZBZKY1HuB5JRGGgkmuEakp9kguPjs9+qnzYlOrziMGLi5vy3flB/y72HFK5EaI54RO6r+U2zIfBgvB8di2muF74DmD2ukEZ5Gb3695h5HcUdIw1pDMR6yLLn0JhrKdfwfc9v+7631/9G7TTMEi3iG9uh74qLw8PtBggGxGMLxA3xq7EN1ApEdPPG6RcofIVSoV3an4Fnt06eOm6sCkjBrqGuRi4fKBnZxg54Z6g9jEQ5GbPORMyaEwQFCdw2OS0i9Yv91F1ZQZGxcXuMUX4NiJG2jjFfl3STeBGUmt3/iVGwFM4/FfOmKHODzO7wFHonDtbDtrxtSp/AWZiVep/5gx8H/rxqKqE7+7iEwZMxJ6EaUzd1CzQMdpzDQSvkrRoAE+9xEwr208NNt8XbSNEF4BhccFChQmjL2l+Lh0gp988PoEgH9tRnorzd5n79Pv8snBdeC1iSRnkO8CmRisl4PcNx9+IjqhkQBPqwB8STZusLqKUb1wFJwzTXPxENJy7c1vCrBpjMzXCEEYVksMhm36UZ5/Qlj1WQiTIPEcx68X9TtwwwB7sCyjAblsulF4AaZpMCXxJohi6Dw2ecWt+8sJLw+HHiYTJ6mJ7ffmjAzrUFgJyuqS2wdGAUc8OsQxHt2XhwcLHJeZgsmdB1J5/zKCGg6eJkM6ZLu5wUkMQWWKw0NLwNiVXChymx7DkAPxu7kZ1EmyzoicbBiY8ZXJqq6BQfyY/GWslQ+O6CD9/vIp+JeBRMvAchPL5BYfQnUsyFlecEXVlDbEPI99KmZK+xpSxfRB3Nfo8tbYBCAwHyPb+u36NbQX+Z21gJxPDs2uOH6JYtSlzcDQP7hrTugJedmtevsZm8iYzRfQkKISgbVxPAfgY3gkG30KmoCur/t0dfNA6vOGZrAGPgNXW45Z0snAFK4rS53IKJqnMDhdQr7KhPbWCaU6gH8DaI53RtEWEwQsnBWl+eNty0qONzUwy/9ITwJfJbCCEaL1lreF+MZpy2nICcxDst9RmEC1u8DJzVUKmNGK0vIMa17C5Ay4nWJDbocvTHMQMzrOfZhLJoEckfFOY1NM4vZkRnaSgupZamO6J75OSbkMRJvkYfD4ob//936zs/bZcU2BpaY8kwPWfC4TGXUaJfuYA2Sc7nFcy/4kEIOTlMG32KXdmGQwn/p3bwybr3cXtqX9Uv7c/7Tg5rP3pzp/hQYFV0cWGEGb1VM6fnwpp22M8d7EopamSFkgbRw0wVS4Mrqf0phAkYJ4HVgqTj6cA+kN6HGL8Nql8Y0JR6LQmzXezhSJNx0z2FCoTYZiS9bdRQtJD5exuARvgZ+Ks6aHqUWLT7bkoFCnwF7TYjBZgJSeNva8/XZ+0r6EWyTIULOhCe4T85jO74efR38GbpVGQV4w3bhI+BvRnSiHRBvpGTTzpilanpJGs3L50phZGnCQZmuWXwuGnAMOyc77n3fT/9WJH1W0qnHnQcQBQtkYLMusEc65I/DR3cbQka3IewNp38AD/L9/D6WMsQi4KnGheCFoh3m5MRC6hodn7ECfO1eLHRgSNUKF/5jh/YDT43CBtuem5IP7+X4Es7D+y3iVYkOHWJJIa8Joi46VzaA87G9u72Lsf/b1vrPfVs/r+32580UvuHPoXUvURwldNcmGcurW2xZtXknYS6dVCoETD3ybfYh1pptChdpQ7oYcbAv20WWdGUSGxYE7YkLgffoFPEOjnlzbNk0s8XIIpUL+vZtkX8DXgLd55f5l/apfXL050oxcnpjL0G+5iDiJqwcb2lJ2HbhQJ1Kjgo6K9mkG/n2ZhLCNUNWqGMMlBm03PvojB1R8s9rxQWmOC1aVrlAyBgJC1S67qiEAd7o0miie/N/rEwY7ge5gnBG6QqXsPOSozZGoBVqIg5Zii2/3Jb3N6+DhTT5sP4ddMUY8xJvAXTLWEmE0rvN+Fo+A0YvzIrVQxNDQCwCCpghDTCSjSE7gm5wt9dJG76jUA4TDNzXhCskLydcUgmU5Xjj0uo2WWxYUIi5pZbcA5fuNPOejYDt0hSDTvVwu2egQ1q3gciFFwd0ReVyD5SXoooz4mrPbxkxTggcpNBokgpmsmO/jwA1PDTBdpMs77N5i20zggRjGbbA7+Rvtr2HG0XG2JRz57MOdYoGqAjg3DPig2OkWxrTQkPVvcXBuhnfh28lzYFZVKm9Lvku9zkFTmrQcR9wBhMa22p8Vok5sbNq9yhYirkLMg7zPuKk/R7DY2jKH0IhJHviZxdIZGJaHbGRon1/WcVW1MyCl1EEiVi9RNB5hWvxv3kwoO7wJs3KTb84MRMUH5fAHc1VuS6hT/44qe90XMLNXNZq4CO42NgB4No8bWbd6sv3srNA8ptEO//3101rJTCZMj8wI3k7BZcO3iLeeJfghFFgzLNgzC3vQkbMPjl1Q3SsFDo3rtsUpGSaNcbEXFw4Vp1DucODKWEeJ575ZjeDqzPfnw4BjJGCwSgtFWKNol9mshod9Oe7xZod1XLxYamkPMm82Lux0WOrz7Isx3yXECgQ0muwRn/VDt/W1n/pxXTN3YY3x4G3xSb8Pn5CxWiHcIHh1EYFgUqqTRZrbaTw28NsIOMYeDCkVbSbn5+dEyopwsrodpM4f4chEpPDgZuFHp0GxU4JImM3XRhdyJTGKBSzIfBd3mONwGDQUHSEPbrs4F5DJKDH4BDwjN3RFIopzWDBmpcsKhkXYJ47Sy0+y+3tkNV0Ih17yueTayDWCxyDwOF18J5USkjRp2qz4BmGO9OhNOYwGegiKcjgpmxsGRF1AmckBx4h4IwMofq56VpUsQTivcnDLTtBXk8tPOmuuO8pdCqrWgRlGUOb5jN32Sdb5y706PwsxQ2ke5p8EPBZJTYKgfGZTV1YtHURs+Hhj29B+aXyvHAP93kYcC9nw2XUA98LVVufssIpbNBUtu3CTk2DGFJOmdr4nDPGVg5zMiG4T6g/ppuugVtXbLN5S+np+lMLJIWPC81FBxtkC0whcwRLNUmF7dgVsLFNXpfu4tvxbg5rJ7pF7CiAuQ8YrPrnxcJLMQNDpB3G/YWbpU4OThmAeV8LqoDXMUbq14wmAIt5mdv0ko4tz83/TgHkobbYEbCUmBwjUFFzSq7oUokuhDrCzceSpd/rBmSE6z4KRGnQOZ01hOiTb8goNG3K3FjAKKeC9J6YGd2jm8j0UtTOqm6+3MryOdHt8ADbse6iM5QHltpkRy0+x3kKsD/d2H0oeBCh/hCTiewMRxWWNtQjum86v8vqAdL9HoajWFN9mD942NkxEiMwH0KzC6mfbjm159zYXAduPN4LvzUuwRVJnkrgoUwDFnnI7Snh48FgRNdwoY8HxcO3DEKm3nHcQ+gxNrXimjw4La6XmFzKOIsSI9PgOEegFHuZXWytr+drOz+fffik2JDweHiyCNPVVVdvNEU6ZutadUjp4C67jvSoNPMkQ8aUiyLayUKqAQfdMK46r3vpLkoJ9w9ujsFOXeawfBljqcWBwbKtcEiuq587hy1MDWhGdNC40u+DEF0KLVVUjJrQeLIgWQyAA/hCFoq3ABJBxtDEWsuxXNgsDSI8HBJPLfu6je46F1XyU1PNVV0gz63vGUEFeOoUxjNil0hEsyCW8oy/b2zs7u1QlASOOnCahbAKA6VwA4PROFTR94BP/9DKnHfC2Q1Cb26tl4B82C1AX6JxkyPJF7G3HKI/u0ACxHLRDq+Hdno52R1xwxU2wGigUmL3Gtu+3KyK8wynwCR+WBJYJOke84uiIe54iw0vH7Sn7y7enN0IkZ50RuB8l8WxGQ7W6fV0T0YTo6PonWe7Sgo6Xa9yt2265yvXB1wRBWUR78aP5QkndGZ0i/MMow8VIwTFXhOJa5iz8vckJa/H8H2EqsL7mWZF+S/nFwtHPdS19ayYTh7SsgsrVYBdyzb7eRlgBp6FQqnI4jnGSqaFSsNyAEUTKpU+eZtbbC113SbHJoOZqhv3UGHkA2ukudmn/+D+KRxoUjpZZrbl+FIO8HSxFD79BitUnnqxJgtgne2MeE90wFCNKAQC5mmuIW+QRRDmqPNR7iFjHJ+xYgEKPu5FPyyNtIy7xsErPzQfeAPpMaMgYuFdiyhVMlheX9u3528eVrqRkyQ5vvPBKywdbJx7tsbsWjpqvkKkLF0LkMa0RMeTuKdqDShnTA8UoZTbmfbHGPryNgIyMtNFuqnlMMuwN+5BOm1iesXhx3NEDg/H4FwiTFjOwgQeJmxowcmxsFuCaeDBldt3mSGZBFjZ1xowsxQDuiazhme0j0RGoaJbwgLYviEgwNd0C//Re3wDU/xydtmFsAMYzAUfVLg5hA21eGS68Pni3sCFiWV6Ot476neuWYTpKgZES7Lrcm8mIIxz/8DksDASu4tzFpNHppt6b7LMQmSQUb98/kxLdMta/rEb6RKbXwLa+ukF8uv5q35rdHac7mWhJS8rfR+/7r+2b8dvjqp8ZzsqaBN0PPmwu6zAbZttJcJ0sJEk0rqN5f+HpLudLHzigUsfioJjs0Pgw2dkgl5w+HaIeE0WIwDQLZUrREG+Rpekqw4nbFodUSg8DeHtrZEY502ROSK6P6OYGOPClsqGYsbYU9k5vCf+N208OI3ONstqRwzu6MOEEqBMYucYU4ANKHAUMbfgcMQq8pSvIQ4SLSK2a4QW4SuZf59fZfbAf+c1iCctQSg39KrF56yDCaonRi5GwFTRqFC6JIcRAu6n1rpfO1kBx0/H9vDyYAfECKejO+MldwsHBk5DXMeMxfDAw7bskJETYJWZzmcSHt586zkI52kq7AKGjeO2Bdl+fRcaaXDRW2CTihD2QXviQVc9RAY5csM17eS4FqhCcL5+3AnNbL9srfvYhQM3KY8vYe/PxMO9WwYnkozRIDP653RSUQsewnN0S37OY0RNKMek4yK4Dp9L7inu2cz3YXFlMYGOMoWPY5kkG1U7ZDQCypdbFFzt3/ic+lneIsWrPD6NXO3m4Pdh/sryC5XOcmxP85O7AQvTGBZ45qCnsxa/sGHD4UoFWkJUktyJwcjIYrtHOJ/TJqyjS1MLcjmfAwFwtViqQq1OnEXsELxXIyXgc67D3aS2nvla4jnyovWfj9FJJjRgUmNanvnZQhAnOhnoYXjRrUgzFVygeE7SQJsDqfwti49bDY1u8/Pef6fuPWlAUsLWf0CB/Pfp3wU9eTMqTvqDldvTbTjLyyNqFF4dXR5FSG/GBNjdUqW5gTggUquKcKBArmNkymDECeC6new41NCmrpKHF/oGF9stLnb3z6MpiTrkgL2yXYQOcVnDYn2+3jfIdk9dZq+gSOEicTPxmiDAJ3G5qAhmgKRFWTmo1GbQi5IGo4zI3FSGSy1nu1tGBbtGvP7WUxh1ENnaHe+jUHWQqknSCfseI1tUEK4lB+YldL/1+l1YbLEBpPDUa+H7u0Xsdvf8mHvwWRgARujVdQzAeoqFhkFdSEQfd0Zb8PlXJAQdi27TmCV0+/AonEMLX7nN6oTJvt7Fzas6hSVB5smINy9TsBjoAilAdMRL395P78OEl6KCzx9RB3SV3CPTztdqNOgYdC+NIliC8YWJ8j4if7dPW+t/69vy2xLOMt1k9/j96/f2/PVZgxJjeaeIf6WwuTRIiaDdd5psSB2CR5uTgAsgoCt4fAxH05sqx+XEbmyPU3D4Si5Z/opugdFKM/2QY87niDnG9cnNM++R18BhIF0JfDPt6vh+KkS2oGMpOaTIrjsL5Mf5Y2TN9FMY+3a3mEhwGEpTDTtcxuUlPVxZoP3ApKhngPeu7BasOSk7M1PA9CItT84p6ZlMgUBexMKOmTCJGzwOQOngZMQxjQxyV6z8kikAY0QVUYlO4GxzJiU3tKYjGRFg75Dd12e/t7AD0ADNDIY3YM9pFAOeXssoEwTaIZIGaIDmoBryfTioi6T/Uwvk/1j/h4WRF8zJwbjAQ8gLYDT4c/hTO3/UIMWBLLstb3i6OqydklJCtyUFBLsscMXUgBrgzqhIe7/PkQEQGNxl7NWB/yjF0tdvDekev+wQly4srrZL5L8Mq3hTuZ4gtQIQLwfr4gnWb5cGvIUuRkB+2UWlPlZ6E6Ma/o3palzuN/DQtHa/3PwznJoA9IwERUOovJkqjh4e5OisiSWifGAaohjQkREyRqGARpLBT3oOth/czFm8sFhms5+qDr8HdlDcsPlgcNMUl4xi4RLqGjQcdfC4SJ+CwkSBUEZKkhzuR2xTyWJJ12u7qeGtONrNUbDaLsbRikpIT0RdV+g86iRfwomHsVoJHooLRnkb+cjnETOGaXDZB0YMDQblCs7xXC8MKx4i03v7y9a6v3QWStRGbmS/XHWUuX2O98B7xboPqo8Pb1qpSSlJuzTeI6+zaFi+JiYOsDiK/pJGyXSUiQdyL/B8aEKCUSy688dYYqoC2Q8WFJ4PZY/skqajeCY/sxZr5m1nwqVdUkbqCmVxYO7CF0F7NiaX9ckCqZLtcA1FCnzGa7qUp4+A9yZ4dZcT35B6cooTixneR9LF+O9Of90Yz9D8rO2ekcUs49ZcaOGcddp8JosiRzNj/AlhXuDSbJyxsWO/hYR4XoPNAGm+nrU0xtZiEBhol8yAPEhZaHJ/wJzhvpaBUHxRiPdlTp0dbJlT8Oyi5KM+fVm+tC/bF9/PP6RA/s/r/9R8UzH+LmgKvBAePvhlX7ovajj5AO2yiCpA/oMhKyAzVkpLF8qSrvNmgjzOQ2nLv4Uqpzodibk59ojR9BFrKrCMPI0Cyfhw2YU1E3UsycfeDN3Unofn9qX/cgeWK3XQDTvYUfcW2VBkVhUuGRBFN6PscAjxf4VWSRNCD0sx3gU1xXEtnZD5zffhveokzXNCh4jMitcAoAwJvE+KERj1Gh6YbvMZ+zjdGcNzM1cuR7WgkSy+hRHrPU8aeyioSvt4TZWsaFFlHObggl2VD36d4hUIVj6BYFjfPnyLJdMtCM/jH2Pbv+xD/VAdCF05D1br71t3fru5BiuDYsTXENw/RjNdgeC95bViyqADRxtM91txvaWprgRIIYZL8A5tbjL0XmL709SWT0tbf13b9OvUpncxFrOYuXy5tOnPUJcgfwNn48HlNVOs1KrDIOie2rslDYCXzJ3JjX1FMJSNnK+PKQTXejpCuhk4i+Opvdu/C8z9XZr3snBDJ50sA8ZPPs8imYvzDqO5Q3Jpx/lNg552gaUx1oFpDS9VUwATwqpwN54Hnknkg1J9kOptuXXnAKagp6tUfb7eO3R/Yxa4bXGcL47lhG3efI7cJOCq16DKSK/CPo5p8DGlv2N+H0xvQadyceg9zCHDZctESGN6eYZZsPSDEAZ/1+doWWO5hgiC6QMdfLsFrSejUJy0uh9gAqzlytoOc18O5CFy4r9t3yTF2wG3mBZ+eoH827e/eQG5kHRgamq5yci9uD0H+MlmN9tlX3DKuyhwmrK2VQsmboqPONnOMQ4Xh6zUC9wQFh+WFqltdgvGh8mFh0wK/48R57S4MDKrm0VFRmRq95VGr9pBEf7F68pxQgA7fQDNnoFLxs/kZFpCM02BodtgwWDhpnugQCbGwU3JRlKCaypt7jktkGy77CyX1fdv10RHwlcC4fotcvKlPZiAMrrizAARN2TrTDGY4z3IOeMGZqwm8GkND0d5okNuMvOmrITBwsHs+thCz5E7LMYLUfi6hWrpdW7PT8+Rvvfhu6c315HDzBHyEoeiRRBcOAO56HLNgbkFbcRt4T7oMmaapAFtfU7ai3Vj+9h9bH8d/9p+2X4RnypyeMEf/CoXpCL4er+gHIIiuJs1SeZ2YrTGrISttzzQl0s7fztHUNM5DigfeKRoUFfofJGA9qFX19CjP1rA5Lxut5gaWB6AK6bTdU0y2nydZmEfihM4KVMBOOTp4eTrpSiiR6Zzkfe4zh6EXhOI28c09MDEg/TAXRqz5JLQZVc3Bz1nfrCZ4B6voC517/tFuW65IskThRfJs8jkxnWv5VzCRUIJ2SQ4sdDMDcFuMEuehVifhRV2wi0hre+Rs6RABjEEExjcRzizqOIymM/Cvb5BSU5C4JRwQpchVGjjySJPsaSjtWhzb94mcWglmpc5WBSpbvPZ7iKHyIaJwkvtzbgTiyOE+0NYxuGlCszm8451H2P9/z7L53+/QH7+87M4z+XpEkWJVX0qM6rjKt6glZwPFM4YuEQaENhV9KsLD4BXsCdP2SXcOPT8w1sP8iyRk7v8kFlCgCkkEVc52xhOO+A2mpSCO8xho6+bC+PsGtw908+wUktyrL5/4BZzmDwoV2JjzUgK3sbJt2TxwjqsC4C3/CcpWJyYvA4lTWxl2frhs5i6bEH75eT7k9QLYTY9BYuHaIFnY7cEFsMNpGsJrjRQYIg6OISriiYQuZTQD48bkA5sPmqyAbGc7qdiKFRy9G++eeJ1gNxsX1EEvYYkTb3taWiX54vj6PmPs6MsxfHL4YsWVxQtdbevq11kTQQuxvg5WVzBgunmPWQOfWQLUbxYgJcWfwtFFp8jD8mn/lP7p+6fVAzZ8WaXU27p0o3WIAHLEGCZwIKGsQrvSow+nq5t/mVu82+zSxo+K8Kh9CR8udnRS2JPu6wKkiuqTd0vLocqTAucGQpRP4YOv5uCioYT1X5s+8e9nqM6bR/Ddk63Kb4XVv9g9OCA1PghNfpr0mHSPq5oOMAa0MqEauAVJSRRbA8LEQufbn//fMThcZfClQgo6hiTndMSXxl6xlhaMclFiSnDa+N483+XBlx/VqAxMqe7kAG6ZeYwvQxGGVB8Vfsc0hCF+xYCPaMxh/l+E6bR/PgQqiyXhUnhsoNEhXXYu9iiHjj2c/BewwAD9glLQpgsUgXh5lLIqS1QxrJh0SUJv1YkvJlQwDUx+oIudL762hFC6NK0hGHzTy+QBExJ5dhPYUjLqMgJjMPxEHpk/eOQjblbiAWDBqrwtFKTyUVXB9p9Fxfwhr9tfkBuXXmfbCQP6WYC3xFcAfCbBwtfyS3GXTWayc2jCBgitYanozzBDCnigcJRB4yJP+NWOK3HHFvz4eG9SX1Ijz0fxCTO2tFBcu4jbMpoiP3kqY/She9pKBjFkjEHtQgcRpxhoE9QmFhYgK1xqoK/sFW8BrzgIcNSAsoKI9MWGIqmABgKdy9hBZXeeW7V23jfZqKnZYstXSIVFI5y2SW4HAJ+wMrtvFgQUS7pnI111ddbu/x+UcVRVJqy0eeGZMzi4bAQEpo0x6LEZdblGhzD1zj1PaGZYtIFyY6YBzQDqijqvF8WAmZ5Hx49cKo4VZdeEQO8LwtM+h3KhaSA4KX5dDMPZfqnqd3+cjOzxkOHKN+voezS6r97U2Bo35+SQGlfCAPgIOJYzvKrv/wn7MzRuMUkwXVH5opR7PHd0UOAsVjeYKpVoJaor4b3l+4/kqrn7MZSdWQXuwv7Ohx1+FV4o/aA7fX+MFvEiHRlScYWFkwPvfr+7M+wiwQzR2nFYpJDOac4m4GEKphqeG0eMM6rMbIWNs57rlyjBVoe23WULkw2c27ueUMUo5wQxDjxNuUQGa82UBy6uGmN70ddyG2ouCd4O0wdMEIOxzD+AE9uyR1+vWpUI3/0eWy7b7t2PIVXJs8Nz5IbddgFa4hQqrhboE9rGObgWXqJ1+1C8ty76LNoMlX+7ALp+JZgdW2DKUxUd998BrfzyzU9fo7gFEgR1zSGYHsLsZa89e61fW6fHc2NacxN633zBz6XXCmLjXqv5kaKD8muC/VK5hcrYYMXth5DHjU8Be7IhZ4X3UH4b5XEpyoGXliaSBRpma5NjHMcQx6YoWAlBywOGQ89f8ac4/7V33K80B1jT9Y9xAWFVnFOvC7Jsup9+TyRicEDy1jK0pyXDLOwr9paK5Hrghp0N/dlg82IjDfhbQvaTr7WsvLi9fig40REYOB1iWTHl8FRihMe5RHSTB46ywag+Wnf5nezcZ6axc63SPTjgEnjAR4gLer6KAR27jiKMxbN8dkb2sUX4P4tNslu0tMT1IKMCghuZ3EphyQ1L9mdrGHSAIZHN2/3+H51a93/U9/aP6GHDXI84fRgpujxgV/oTODT6bY9z2EuTBIesspDxBeYvgd23cLXUryWyS1xXfwpX/YvQWU6DRZGuiQjXeFDEngGpj5FeqNemqneqKhiJioOpwprcxKhCTiMMR5zuZETrle9ClgqwIrgQMKyjRFbVVkqayzgPBZEPnBg85V54lqTcfDShWdxLcy9lGnidCxOiDPodm+Ly1SGrWDqjNgYsFAk08BFtdAppgOknJVXw5LoeroKd2ASgpO/v+GlMsWnukz6G+M0MSyHeNZclHIfn7fIzEYZ97xrD58f2uPDowWSz+v8cg62By5GPFNQtnKx6T3G4ql7I6Db7d5CF69ijl1IeRP8zAL51w9/bR+PH9v+Idyh1chmopj2ZhC5UxUhkRjFCcTZbrjLmnSRYYRNIJ5NIvpiR054qLto/ylIFasq4ZY3yhICsvQ5YkGVfrH5vARlxVF9igVALQe4+VRs4E2I/f81iq2UA/iZdDcZKynHazj7ELgp5EZKGyrwnwK7uaGKdF1AOTeV+uc+zBfo1or+YeQB6oddJPVJ3N4f/S25+Rbjl0A+4ztbZ8aCOWMu0liW1+N7IuYS3KYLf0R+BsWZn69+ON1fJJTzUFBAUfqgq0WhgOb9ut6LGMWG14CC6fLtEksnTBjIbv4Q3EjxvUM6pWBCSjdP8f8S1xO1jEustNMi+AsHFf6cVmGJQ3vg3Fpo9jlL+ceQpPpUT8gWQBY3BDZmR87Nz4MKFo0ZBtDK6abvZ/9f+7b7511bP+QW9vvQTn8/tXf/8a4dPoe1Fdk+f/R/eA9R5FnsSTcZI2WQg8ZiRpdKx5Smt47BqJ8gju+jEFgYj6PBYdDQ6IIphhTFd9d3uhe57AJjxANzFywHF43dVaYG79c43N3aHk+PYdpMrrbn1+Sy8/P0uf3H/B/Karm3yZTB7g6oQR182n75sLsMzjz6+Rqf8/YmfS1jB3HM7cHXw/ulm4K+46SV8co2PXTt6yFYAHPIWSkyhVv+p1H2KZIM8U2gOGJazaF1+uuptX9pbf3rardto/S8D7/I18XXagMF3Q4FU0IA5a25O+3a4fGgF6XmvmD5dNz7iD/WfDf5j8JSNAXAGRmspib9mhNTdtwuP7mPUsTyUwvk//WX/8uW+On4ZEEQU0wVh7YICOjBEFrgbdUpubBA2ocTDZnNUBmgGIAF8efZXqV9mvQUMpDZgmMBVqRvtnDp+szNA+jtaJ1u3ZwMarTX79FZQvZG60qOBicJGA74yZoGukNs3ExM20dhF9TvLpJtdQ0ag65SCYCM9XriLUcfIjoc3XbaB284Rx42p8vZYsQvDgmL43ENV3FwLhyOTwchhFqg8GBoHAqlZg6lkaM3Jyxk8u0UCys8NNsP6Xg/dFV2l5gPD5FXgqYaD0XH2VukwUmYvYYRrB6Pw9HPvuSK38/f2+vLq3hY92cUxunT1K7vrtrrD/88xJYdcBy7sVOnVJETX6ULWegUtiG5nxnoVhGvfLmcSusu81zm2SmiEunksdKdggGiIc+IU67R99339vnhc3t+/9yWj4s51/iUEj1qVvvz1vZ/27eP//qx/fq3X9vD1wff1+/b73eFEsWgjHTF3ygyS2jqXaCwoGDySK9K752EeLh2LlpYvFDwrtdwLZ9OxhVg4kun52QCrSvVHWJmbGL7W3tuz/ecHWnC+JBgisGhxAGcnpXfrt/an7c/2x/TH3f7NK4/7A8mMo1WKMQ4dNPwpZEuHE8O1uJz+hwm/sy9L71ue7i739ShXL6Suvhn2FifngLl31kiDqsGHrw8Pw9TO386t/PHs/cJ/gnk1RCUN/42tu5d2PtpP3gZHJspkmWI4VKKrJgkojt+V2OynFwIvz++b6enk8okBAVMbfx9nhvls2z6gVxgGMyRY6WaC1jDPxRS0EpBLSvAn1og/8+//J/hqsMb2jb1xTxs5S5S8jO7ldTwKqsaHu+KAHlg42sEsW+vUgfcKDOyQzFgTGO8uoWTtV0jW6207fqx3S8jTLGcbb1HOYhfpZdeAfD3ZEUKMT+C04bDJrfdUooAtWH2J5eP1/xh98HXr4deC7IpW3sKuNgruTrYK0FRSq2nQDi4Jw94N7jwYFPJzcnD4kNz7AKbYn/RDW8ZNbfQaXOq+0CzgIIYnIYR/KIA2VWtY7het8XPFJIwNyyv58P6wQdbsvc0ih2WTZamAARPQSM6Bo/R2F02t9fVYmeXz+YRBcu+C+jknwIbvvx6Ea4wo+ixa+PvY9t93rXxS2TsiO3xxcOV5rBlkFFYsREJJNTBOCAUvr8EREAHASwA0b+S7lIhRSzEH+Mf7Y/HP9rrp1dHt6dfniyObnRfev0KH//tsf3277+13/74zUxssFvut0pU5H3B4eVwo4A7PbA8S5qIBzELHMjW6VYtRDQ/2v0CQYjbwS+cgmb2cAlPRYsu0A1/dxiCCrZlBCymKtebtCnFBMSQ7jcnCTNTmAaYxiDg32Z5tDAITLaES2oUU1jAGe6V11Z7sjUYG/UcKheEFpaBXvJJs0jeo1CgTmV0arkLcS+UGKEgkTkJ/eKVQ75v4g52LfYRj2u7/nJt57+eZRBQEOkY5YCCRX8P3FFMmHvlj134tN42X3PZm9nQ1OKFAklkBl/LgxlEfP7c+3xm0geHYIVwuNJU6EvAe6jOn98ZBsYyyYk2I6Tlof7sAvnh/Yew9RpjJOJi4ErDV4U1qdWeDtJBuFmg9KDrBTPjQSvpnguAdNYp0T8FLF7QGLSRjAtw5CQbBt5fpvjpQAL2CagOcD8GOKzBAIq0pG4UZmpHNkYsBKOgao1bbAGLQiN1oh3iA5wO7dPwqf22+6293723raf7oHDZ7eTGmVaen0/h1FmnTXcZXeWMeNPtcymDMAhFxSFeMw8koDlxr3Qi4Fc8rHRYYn4ZX+m4QOeVo3bd6GKKNKCncCKi0PC+6broNGrcUPVxDT4Zr18XHrJMALLxsBzzYTgHJlXyNzsUKB3wll87eYY6onycLALkj58eT8o/ua58BkVzkqYBo8FLkNtSHGEwUsU/FJoY4P4pAtccM9moZ56NnSp8ONRAQ6hE/nz4s315/6VdP14NYiObWWuy531sPP/ctXf/9q69//v79vjlMZxumFpQqLB0wUg1TQ1Ksuki4na7SwHvUrbky945r3PvGK20rkXuNBZ7jy+PeiQWBanuJ95HsSqUXqKuep6kUfGLos79bNRBapjr8Aen9bBCJMFBhscnRhXkiK9p9ZWkbvYNFFT78ySC6wgFvt1HeJidfNLm6j3XzysTmLIrK0MVCs6FgpvplXIUt8yIOvSxgMFE+1OE443/bVTeyWREh4pK6PHbo7CWngpfxzZ8GYRAOLALulCrnaa5ciSR06YtXjnWV6gaz4ddL45b7AhYgK5T+zZ/s2FTJZZChTrEauHpAZnKK6bAn14g9TpMDXO590rkhgNY2BPh58v79m56JzZj1GX/5ClZD8CPMY58CGKNcPNYUHADs1QgLpZYy7YLh5QMmOdnASSrJNjv74FhZQNmvnQfSYAuhVAFbOcQqeMKjssNo++0+WE7foO5pNU+44cPxHTQeeX98F7irwFa49UPHL6hJqPX3u0tdmYoDb5uXyNbgwcv9aBlTCu/7JiJgPtZFxQ6G5ZNjGcUTeMV+rAa4/P5fvtuUaOo0yW7rErcUUdkMEqI62wSAbopnngs5hhfnncVb6qeOEOfWFjAF7OrpsOmOWCpcu7c9rHd5ibGdqwiU3VxPu99IFBP4LXIwcHh50Jn29tBG6J13EX87BQGylI8MMLYH9rxKeIuzGjBQYn8occYM30kUj/rQ9rCAAUT5e/vv7eXX17a9derpHA+T3N3oIHw+3t0sUADkMKh+VA4vg5fDULzoEks1k4ypXclj7P7HbsII8vFhzI6XKlY6HRHVSt0Zxw4WodNsZShG1KC199iOws2nZLMSoYEK394fWi/3n71v9HFQlwuVQ4keg+9OVzIzQ7n4GZqO/QB+bBIgSS+hZO77udE8uaG3IKBTyUqlyHYHSqqyrcTEnXyKPnl4YNBB3ZkHBBzmlacJwvOjQkPUjVVYheHu0IEfBU/9m331117/JfH1v5ba8d/OQZcMI3t+OXYTn+c/L37umvD89DGl1HDXRcmucFX8NACB3VZO3dq5U0T4IDFHpHG5PjsfcJBB+7LuMyS92v/tf2x/tG+TF98zTQtJjgiXcbAGZYCkkXuwYRwykj4pxdIwGLHXoKp+AGM9lR1vvqjpE+4eKoRlmN4RBJjQGAThTVNE9RZr6fIRYbTlWajVSAV9HPqZki4biM8oIC3nOoVIcANnlKkUqCU6ww3j7jdGgl5mjfgI5eu0IwM+h5iEkvXguzvEIXF5DckhLfgT0pIZ2PKAZGGrp5+BDPNV+37uUBf5i93bp+cTGIsy+k7uYucfPAaeWg/L5+FGTgMOMl5z3SwFHax1R+8NbWnh3iNRrVPsnwGQylL05Urlk8cENKuxlDEgGdxQwJBVPfIeMJ/Mz+6y8TFS8TNit8wHmKk2kfGNDQUfzYE+su+db90LnDYfo8fx8DDlpAC4qJDtwkQj6GIfFiIAuTsPOw9LB1xgIdZyuwX/xsmIObOzMTWNQ8GFyN0x48XuY76gz72viav0cuh7T/vDWXDLR54gML49fK1vVxf9An92r621+ur1xlmgYcvB2HfB2UIiAdopQ7K3WgHWY4xOtDjUdnF5+GDN2U3RkHhMGOOpHfAm3IMW7wyseA+ohukS+X74CCk+QlddhvdVntdiFFIxQsPP4svPnO4gprn9o82HchzgXaU3AER0GUCmSDH5TXTwKyx7LjrndN8AwzaQsEYmpJVSd0s9iDET1Ec3TRjsLKmzyKTI9zn0yrmCFtg/9u+Hf7boe3/j317/G+Pbf41PSH/7Fr/tY8cqH87tP2XvfQvY0rmXYS7IfVLbwbdxddXl1ccRi7wMJi/dOLH3Aefnz4bwgfjAN9SICqWqb8Pvze+uNbgz7iM8ffBLsW5k2N9N8FIM95/SIEkUNzxrQVoDnhLtQcb8EQcHtvjMdbxetDxQRBVyeibEjcLYlmIgWWwjauVfAbGi1WlYYRvhg8TFtEUnZOE9JY4BAL+S2ChnNYWTjCHTEu0MMOypwkChN6Sz0V3crvdNdRK7SjIiWvKRVsXMSBjI4ZUN0DFSL0zDxdpjd/7kDAhsSwSaz1gLpLSmKNyxHn/jC7fpm/t2/mb5GpuSB4kHr5ful+ioKKXvoY7UZlC0DWbZwMhmO0vmubx4v/WWJSMjnzIGbMQ58tp42HYhRO5HTyvC1xqGANWoKti2bUlj49CvYXzilzN82TGsYA35P9bENyH9+mm8jhItQF/UgOMUcjzrc3f5uge5jHiaRnJHsLWjW7GyQFs6Di47dX7b30K3PLYm1TJcogRvHKzHbduY3t8fmynr6e2/2Ovgzz0EOznwPlQT/D9uSY6Vk+zB5YxEclgKM9HF42Zs6PT9ngUp/zRAFfOJzEYmb+tv+A2+XNoHLgPK8qYe4r/XROEps7cyxDEx95JAW0+/9sM6PYSGCKGKimP4yAHnxMvPTz6mj5sH+S7GkUA9JT+miqaMoKhMq/LX0BsGy9OPCanMKdVLolMmIMAgjvGvBic3EK1Ao1GHwE4l31IYfUifbiZGjq/nyXl7/95347/x7Gd/tupDf80RPH8PsV1/3Nu7e/NGFg6e+5tDlBD23L68WBKF3zf9xqcZR37gQww0p0Xny0+ZyWW/cHO2xyqx5vOYd+H717n/ltvcsD0dZKRwc8p4YQ4Zz7/7glYBv7sAkk1v1u3E6/AVnbKSNDkk9GFCfiyPMhIAk9G2nu4kRSNMUe+IbfZ6dRMgTJCNSMV7NqSXG1HhfqFr/SEY4vlomeCJxMANqRtMBAVDOCw+7fNOB2KBG98DOG53UIdg9ecuBPANHhcklB5b47Sc5qStqCdVMpcBcW7tScz5BqdFN0bN2a5j7uJhX+GI/m682bWdIIQ+5e1zc+zfpHQOugOxLfQA5erUXfys3D07w8hcetHO0rNE1go7ELBw3hRTjpACixvVPXoPRebTh6WCq3XLy8XCffcH86AMcLXmAr4uxadb1F0OIzU5DKOf+o1phXfOnatf0orOfZPr5s3LXZ0fDZK0J5a5A3BeWQsBJ45rMr0hGC6t2wd6RzH9FiEpkLwF0yElyFymEmm/OMYxfH7FpGn0KUoAtt0t4ozSwWrLYoveu9dPDTYijmSpkGx3R6Z0bi74wvKgY6CCr9DFFNgwFNmZc+7yG9fblLVGBE5NHkOXOpse7tA3a7GgDL4HnzOygZhPRAJPAQcpOkLhiAodghdy5xwZL10y8Ylz+9dWIhP52jKJKBYgkXgkk42Q2C7XvUfEv/E+HJxqKzxtPOw4n4yofMWsbhcW6AjFzP76EQZbxmrKY6IB8ib3/91357++am9//W9fFnuK7TvL59f2vnzWZiDe1z7Og5dOv754JQC1YzntmSKdU+XGAMYqLjJ34Zvmk1oerOMHqDSlA5dm95PMimcbPEBZeGEsIOROtkQxddVPJAxs6Yl/uwC6XibeSmMpuUA4yi2ewPcJYtCHEa7CjEW81oMHKY3bhYvngIDf09i9tbZFosRobrByQdsLEnagtFpUFAXXMNaNNuY65LlUoYBx5OqBJUZ5NWPh0hJIyphC46mzie34Hep9+VijFFoVAclQFy8Ra3wGcOT+qNJBN0i8MC8hdsMQVZs7ncPd4PgCoKiw9b6Db7auvpwkUjo4oQQLLKyoTB1L/flE58TDxoKIHmHKZdU5M/NRMeCkmaIjocRDOgCvMvOerlEBvA2x8YZmhAGFenW/Xh7jAcOriKLiu6HmIZd1w6H8COUFM74DVn7sjo60/XyT4r7+hSmrN6g72MRJf3jaXLcPn6M7sScIgxW98E2cCuKj8epc+PJfYNSheJTHbz3Ha5J54PFtn1pkXH+dSddhM0omckqJpY35ycNRrYoHlxf7g/HSkQI43gPnleTDP+viwPYbfX0qHGFxW2NeA/8EPV/RLaHTHMOAweWc1DLuI/NYSEeIcfkUuSU/l+t8RpKKLbQWtwR2gX2Dd2KxQt8vjEDu8AOKaLjW0yC2c5oxNeb0ws/n5/D6xdWIuqADhJVD0vBnNoKVrGQMtFUbO8h4AClgsj11mBbuCRNj0l+OW2cRhNHh49DG38Z2+nXUzt9PMnj5HNjWlh+X8ycHz6H4oriWHEU94jbyyjG7cgNI+N49AAw2767+ExjMiMGS8RCH0bMPqvXtV1eQ+1FTLSHwWMf72ufhRJlHDsSfFiJbchIFYojh7JSST6bn10g2UZXMh2FQHL2dXhTTAyLRFFTCXexMHFTBo7A1hQrr7n3IjKG+yvTDO06af3nKfApJuNy/0hfPP8sfK32pgPml5QRfkMKh5S7P4lzcQN4AmLcsIWWG9zNdLyhd7FiOFC13VCAMpa1bjapFIdR5QQF1/F7DpKurtLXNdyvp1CXmPGRixLH5FTC8MsOZB3ldUmJum2OSx4Q+3Cclqy+O7+5gMPDPJwcQXmoDX3Kz0QCPhLHIRxduMmUkKE3ncJeTs9D1D37yHqWv7gMFsb31/exYGjZUeOolC5NEJg51X3/tzEC2jiwyDbJRY7QwPNqHjngPDcq7tnzh1De8HAZ9YBMjNClvtP81IUbPEMkaqewKqOrJOBNeeVlDpOHl9kiDLj/8O2hLZ+X1v5sPnw4yfPZc8iBsdrpQyVqb8YS/oZPS/cAZSpNb5UVQsqGqQIXlCiQIQ5oIYp5d8fVpbiQvXO7+JvlSTl1f94+t9+X3+0gNeJIn8LSmXMIO6ozpkND4wsGxBYbbA46rb36NbBe4I10meL50JADv1BUZRinQBObu5B24rV4zQ3zGKyHe0wCDQh0JZ6ROSWL42sUn/SZLJ8D7rFKaZR+BrTFBj4L7AoEkrEGFHTuxe1pa8OHQRYBHahT4felTX+f2vRvU5v/Y27b582oE+4b/TZbSBe1OrvthWFsoNz97JxUYFWU8xFUKOqBeO/Qi8vrqn/Z7lJcOmAWRZL4H8IGTmHEFBtsbQfni5MryyEgwSLOF2Xu5xbI8UnSsaoYjCunIbaUuBGT7cKG6xxWTW7GKtIUOlB7sXszunLrPXE0V83CJ7bF3uc2BwGUWpXRBGJBqTXVMgrsKPW4dweejLMU10TDi4HnLvSfpgyy7eQLFcphH93gOsa4W5keGCFAOWKrmGFHFsuHQzudAhSnMDIaAPprA4bTyBSLJwnxqGqYaogh6C4xUpHVjGvQnK4x/bF92j5FXG53cmkDydqfiS08ZPHDLZQufB0GxxtwOPBGOrHyTawkNw4VOgy12NfWjufIFecwKNyUB6lyzaVgnB914PFwqHxlCmBqWlVGrdfYKiclQx4cJrvXcP+BusLUYG4LMbF/bC5Tzk/nGL0PwZfzhuazT+moXdsprpeYLgTpdrNbuz5f1d8C9EMoxj2GbpExGjkkDyM/t/w+eQAdwbENgxfLVpoFwzX4tB5SeFtuk3xII1b7QxSqJfN2gHigk5CUWG47LMJYejAsQDfaggHwdfzqdfgyfnGLykOoEoeCT1e6C7wXjTRLECWyUKAYibdzkOUZc7s8UNf93XzZBxyuIzAF6jwkeFCN6IC4BhRnRBhkv1xjnKd70ocADJpCiwkwUMMtui6ED0pod5EtbSc9BqSlM3wXr8viwWIPcUXqtxvxI+Tu0FmmG/y96z92UXRfZ6/V9L+mdv7Xczv/7dzmz7MFkg6S90GRriROJxIkx2M62TNYnXoXeFKUgEqQNWKYnFxI3hvX0YmIqXHA5r85sbAwRMrIawITp0MUf2aKhVp1nQIDpTDjd9DlAfmzC2RpolWTpNmA8ZZZDDVgfc3sXcwtWUhkqLt6XfCgOQxSDZkirZDxFbedFMYTU8CFFcwFi+KmGDLtDO4k4eecMqgewK8yP0RPOEjGkLyT6+SGj86BL9LwuMgYPewOdphgTeKqRA9MfeBrYKdQM3BxwTADfOZ4iHS5deeH/fL64uYa4JiCLu5It0l0AvGdyVcrRRGnuycnwWXtKOZUhaGwNl53GQ07LoHXrNwBLYwkjjfHTwqWVmFsvLfYeAsHdLlgwCAB/uLrXtedcmjnQWXcU1aIUOiyD/I4AWd8YQ+Vm0Vv3szM5nPnxlbxgu61Sx0tunEKEZjVOUjlbjsproc1aECPW3AcKaCMisRwAhd0Y4xET52YpPQN5H0V2PQyC+xTJPmnIxEaXbpYdLrn4C2WlX8ZW0jZwVyEPwf+eY5xrsYpVUe8f2AacoTmvfdx8R+LL4t3IO+57kv8TBlPjSjlq7/YCUtNmS4R6EbRpzju4yDjPUm/wtmdexmTEBYl6ZIjPNKNHmqM9FxDbcY4HMHJd9GxqUcnf738RDNf2iz320N4fLKcQbWT1CX5xVBpWKRB8SKOOB12FGSwYIUBkrk5dNkcpC54kN/u454oV/ueLpYvdgCo1KCOoQQCg79edHha/21ty/+9tOn/N7Xpj/DedMoAMshiT5MCQV7p4y4yZKCD0YWah3QKYn3sAWNXwPvEqf9D/8FrTKPF9WHMJo1z/bKG/drH4ORqUnyIwDKTDS+jmu7+ey92TXdJ505B/ukF0hMlo0u9CMnvKysr8cnLPkwnrmE8ULbt+h1ySt56HwQoDHRJnLaVw1LxoOX7WGToctPRHCNzUSyIjMR0a5iMEungxB7UIW7Icn/mZgePYFSkyyNdjjByb1oeeMLDKOJL6k5vwcbXYomOZ8iuZ+p1Grm+XO0gDaxaYpGiJjcVN3weVcy4IaTr3DppReVByO+ybKrUt0qi49+rteaIRM4FMXsXCyW26hQtO4gWI2BcxDD30ACCG/naGaHATekWfB8SMpdlmKje0kUInmVKRL0pM5rTDjWXUQU/6GAOqZdtK2RmXJiQn2EXN8ZYwwFEFwJ+SQcJbsX1sSCk3b5YLHsSCuRjdLbgeS+XF6V7Ji2eNzOetdFPsrnehHxeSP3G2YcPCODuur2mVp+uNt+jmlwWUENyHdPQ2HuMg2QOT1O3tMhEW3BmzXvPlECdjHah0eeLa8v9S4fC7e2iK+NT9RhIvp6YYxK2vYNSNKAhB65RQyw96XLL85GxXNbE2Dt2FsNDTA262X4LxghFddoHfQgecHvL6ObaqBhZA0PkvSkdJQM8OcBeN2AJPrM+lqoVgVx8RyeGPm0Eh1g62rDgorVdnfS4bmCOFMf1f6xt/tvsJpsu0OVmJogqniBal+s3hluWTIvT4qgsJsqCFZFGd7g/s2YsDYfYT+xCGmxSAW713xcpXnAuh1+HUH3B1iCraQr3eA7Z/de9WLUyR3wSxqN7iX9IgXRkBq/CcYW/mSoJb1K2tbhSz/voBNB1YtqakitTB1+dNcKAFleNh/jvPLgK+YdXbx63cdACMK4o77w5w5k4WTPBzk01B2yX23UrZpyKcrpQJkyzpxk3FEsHFCYoV+j6+J6cnqanDS+OgZXJK6BPO14//9L50NIxAdRXqp0AfwalV96x20OW6xwW0xwKDEi3bHJRQGa2S1GMPO0y5Y4Og25FuhSkZWoP3TbFj+UMsqyELnxd+DEixyQNj2AsuGY4+pRg/zb42gt7KS21W1PYBDxgOMBgyYYrzZI+nGitxy5wyd0krmyRXoI5oIsKJGoMh/F+xNGJ54vQdiIwaEgxFbjOMYZecpEF2f0w2Dnw99wQXwcLm8A6HTyjJoa6bPvB6U6ro989HCxDylTkUOSSDGxKJlGxTCTpLmSBTDs5vn85M+kCxXidckPTC5eL5s8cHjqew3l96Hz/6H89TJgM+vVuGqIeHwrO+uQD6LILuKB9j2vUQhoIROX0cMxOs2UGfCYJegAdwiXKUC/I27mR9aEfk+9KserCbINui2LCQcy1L5MNoRkO4t3wVvBQjSEsyNA24zPyywymvC+8v7hP2XH2+1gWIsyAd0kBwhMVoQfjM5SvP7e2/fvWtv/YxInN7oabC5GEaw0vGQ7p9nZAuLAhSjcpedLN2OanoojCqzKGJW8XVEHuFb0EuBfXZEJ8X1XmGC73PqNgwZwZ01/m6C6fBwUO3CfyTxNf/ukFUlNZnGPo/jKb14rcjm5PyzTT30QgcGAxso2DOJlLndfB8QiKBTcEY4jj8BZaZzOCd1EsLJLT/s6ol7qQm2o6FI04aanBMiKiMAiyadnOjUc3AOmUDwj+GgsSDAWg9lggUxJYemwkc6Us0YQUtVDFxV76wLboTOAnZo5H5aSo7NiHfT8wgicnG7vcdLsM4uEZonNW5YBCY4tO0EINn3K96uYtrYiI2RaOMfz/XFipHeArZBjjVL7Eg0F3Q7FyC0k3n8obOxs20MQ9pFuLuCT/x0PISJqcUwqDm0a6UHA5DiioE4lR1lJLygT0jdx2WkjoUEAFUvnh59eHLJWihSqHkd7NMYD5LY1b18EDVSCdUXoL7CkYtzvvkTKPleRPV5YYnlG7ffgu1rLNRcMhrfjhks5vhhO6WadRrO7S9UBhyYbsDu4dhZoulMJ0CDNcRzYWj8ToYqQMhYtlV/fg+IcrugyCtWntzwKQQsHBa9fOs5L5Q2Kv+BkwiV2jqIsXQu8BesiGw2uWXE49DPtrOJaDnfe36J6nt7xyhQCEepXUFkwVrG2XUE4aV5QsuIj60rv455b2Z/gSHCav45BZ98VZthEB48fZn0PsupOqxri7fF1c2tmRsnAB/4d5gdExTj5bENuFNBRXxefovUp8L2yYbR9+oBnRqtvQ+nxPoTSpEwZJeiwwbRg9zcI0DXLkUjOxXgfvKZ5BsHaJ44z3MFMyH/6nFkg2nvAO2TbiBs4NxZvi9PQmRFnwow9bbhZru4d8jw+Uh0Vy6A8hVXcDCf4PQ4d9jMOMEoDRBfby4IEJkk/9uHsMtQo5GIwg4I3zLQrtHFswPmC6x9PlFJQbinHfOZJU5OfleAmbpt3tfnqWBlb9bkrROAC0JEv8zZjKISzevamOU2AquIrfjrq6yKvsIsWO98zhIkF4vN39B7lwdJGM4HRnvGYLZndRWeIyB1UQOCBdTh/xFVqEXWdPfg1DuuhWxKhw9BkjFE1DjTQ5KNxT9+Xc2HsjYShKpjjFnAcXcjQ/F8XGuA/OZbc4glY2DjedahCwLxYMaLPpjjKe1c8GOhbqDUUnc1BJ0vTYbhG3bKggRGacgzNnh5dLNxVxPE90P2lqUGYEfq/09btHCeSihF81blqMWSpxzTK+oQQEFor8VVxbAH0f/LTxE8YA2WGbjKt1OhGptV4O7d3unV0kHZ0LPgQG/eudzaAJCFAO9xWqIQ6Twunp3Jik0jXILTpWY1O43pd5ifjn4eLna4bOIcQYXDcmE5ZPOB25Occ1KwO46ETlsnLQwihYjrphsWAskws7dBaSdIf7WLJywPhZdtHwmPmSAo9ie9yL5G1nEyI0ct1cBvFaNY5hR5ARH2rmiTxmGcTEOUfB1hRlH45EGurtFp8lnknet7Gw2y24qTS2c8gJVcilx2NFMWiYuw/M2+rD9Mf9xcTH70wN/YeEdnHjMBqzwUMqx4fLqWnhgWbAB8qphyQNW/drcMLMq21JBB/3AeZjOooBRH+LkxqZ1LJGrkpuhAl253SWFJpW8Dx4LEw+jh/bx+Gj/03XZkbFVCWYg7OE+UCJ/jnNKZwsQiSvZ+SnxhFs2PAX3IUhrSYRfHW30Mhur3ZpPAziKGyl57APq9FN9266G8LmoWvAT6QzxBkGfuU+Rm80wdxA4ptghtCGMpmNA4giyVhGl1jxrko0h9hY25UixuczYmzHr4/t6pZu70mfsUOc06iCQsBI2IVjdyUGWlDgxGGDxdeU/E4gABzRDwepXeC1anax05rDrJS/V87tdu4pXdMZOhcmxW6gc9Vvkuu8BcHZUHk6RQLkiXvltU6dD5t0I5RKY2qEM4O6THS9t1L1JLWsXaOboIimvrfc5DnE6faZXJRRQjXZZdffhV2/DzlLL2gkGVHhZ09wHMs2FC1QiPqgitWmmNdU6ZseOCJOgw/vp/lT/Pn+4KFStDUXHxSL7HA0c03vTtkdUMXYuMrqb3aP2p8xWQ23uw8lun8UZOBq3ONI9YCImMrEjrmGmBFz3ySWzufvNbvFgu7lJYjuHPDgd9LZ4AGjmWeRWQdsdwr8MXcOuhBh6gwDZUmc+Np5CHlPwjU+hAuV8Ab8VKad9S0Dys43s34cx/mzyQAAYnt5fDFxAM4s8FBlXcnYWIOxoS2dNkExqeqofljl3+Iqr369j/wkxnUWyBTwypf/6QVSWs9ui7yPIXhzVGhGQ9tniiDuz5fgc3nCXIeQF6ZJbilR4BSqbOEGBOxdzj4kgsZbOKUYlzo+yGvUWHVLdQGqgu29natSoi1AW4sXW9cpqCliodAC6LBwaO6Dr0aXRnGrB9tlQ+o075b1jLlrAPF8X05dRnRuYFUoUB6WWEgpcWTTSEeZqp9SD/AwSZuAZgJtZgx7p8JlDFHP6ISKwzW9jXEG/A9rp0NssClQ/BI8h6LCpptw9CS08/DzgJRLswFVXCM6re6NBlUu0vLh6O65HmzrhzAk5fRlyw/hnmgBjW+XMXCuKZ2QOABIICT1riWUQc1lbIXNQAG4ZUhT5u3odsPhlcsQKDPGLsyP/lbatu7jGuAyhCnCkJ0kzcs13JZc4OFavt9F15OHmmwGfAXJNBqj+3frT053BUvNafSLxLDd7g4vdif8ovPYxz2ovDMzXqQRJcGb7tx4jnTe4efTMfKzi2pE+ifdP/fot+6b71UiOFPVkthnFpW6742iuB7lGfOzhDxYntC9sQyloSYU67jEFv347DJLiSW0HhY1cC4zNkIDZdRb8AbZDwC95AJPrTUJj3AOD2cLDEYiXGveI//k9T+SkZ28ZCcqHKiQuqazD5AF3SO/edapV9zTQAZOKIzkdKDIe6FMZaQE/47PToNfIhrAhqEyMd31U3s5xU5AuI2dw2tkEZmeyX2X3bEy28RLTbd8mMzMQhbJGWOECz8WOOEWiz8OlYqI/qkF0m4knYttsxltuiSC9pf7jexDC3cOk1akdVA4DrOjl+PzGIFGfJCVn1sBWnZl0FiQ5sGSTwylJGhVRMQ8Ic6y+U2jTelG0GqmcLTWQWUa/f4UOiRLFPbK5BaT4QtjUR56/Bj7t8RDSdtobKFBTBexU0b+d/M7TTu5eSzOnMLTFGFViX/SXdg9sal+iK2pTj5p+svPVCmQbj8WAhYP/UEzA3NKMpBdeg7YUqb5OargRZnb03taYTqWqAMGdmC5kvrcAuMtottVrJPXV56WFo8+9eLYzqXeW4/GJfNyptxCz8fopIa9XRjjXYU7+aAjQb2M0iq4GX1dGdXJLyeQ7ascQm7UD9MHHw66ZzsOTIYPN00qdDenOM27WNqwqILdAE2EPHE+E15jqlXESlnaDYm1UmyJUEXLTafBx1EJfxCxs9svM1y7L+CBLhcaiaOJx1Jg0iTFg4TRn60413QXLk1QvSwuLYqjsrj1ZCyyOSi8PCYuZKyMhvCIl3wtUGKAqvj6AeuzgCdXUg4hUlJMHvA42AfjwgKQRi9GogIRUbw5aDBSBnrJGAVwfQ4kXzsZOdicrQGpUAxJdvy4fWzv+/dxOAIPjcHBpZN1CgHy52cQhkbhYfAAN03LQDpVpwKsCdkjEKy1Jpl/zaUi2VRjOEv53LKjaBEBIm8zucEcuGCMLl356sNqzymJXQtnWxZtrrU5PbtzpICif8/PUHNqsmvgqRLL8NMLZLqC1E11H3UYqXgx4Hf23FnQeDEEXwGWA5qftsAIAKx5sYjW6dIhmVM0Wiw4HKtYlFDoCUM6xJggBYDlxxLEZT4sSa5d8NQczVAB9EM4pqAvnWJ8K92qllecPoz7ebpq1kAswRbmAXa7dHDpKC0/cpocabiIWLnR4v/a/erNIy4LJ/Iaud8+WCyJUhWjc06GkVWkbOlmxdu0X4mHWjySrhhyLTw/ut8pAPrSUYsNrqcYXYWFovDYtWGtVXEb6ZZSI3HRtOiMv65fg+u3HQLGGE73G7Y8KMXDptCOG2UBeRrcjREnDRPK6JaOEKdsfpZF93pqDy8Pbhfd6Pf5etKUAGyJwmoA1DSoby5KEg8iYyR2/pVq6eFTkZ2FI1ZXzCY0VR+mOeJGRIeWn6t8v+y+/HPzGgYWif2Vxr7iHso71Ls5Y0jLvUeKDq7VUMPg4qJWQVzAtTjGQpLuW0cq7qlbyjNvEfmhO052csYroJEGCoAgTTTFEp24DBAmiLL/m8MRSLswGhGW7EQU5PKvMq79u0kSl7bGBJQJmS5P2dyDke+OgRWzqQf+OSz+O7BUneiX0K0/IUNkow71DMVWei3yPDmZ5OdPsVLMgN3gsHPyMxF0zkkiGQneq1wWttmJFzLxeP/TUU9B/6lUUBsI6GmY07RYevF5qSiDxQIHHwoTy59cNtWBXPdIwS8sYN0zEOmRvpg/t0ByCrXcHrYwVXBERAed5gcuXCjOlaSW7sRug3EFxxmGsXedvVEM3cKIFOxxtwtS9D5yjSmo2mztUpec3EBPmQwmkpaxPvtg80Gw0ZROge8gJOB5c6MoBYTFTLpam/LH9p2vNSRm/MIZxKIOVWIdPAntLNkAs7m+RjelF2Dqot30VTohN2yLBQsPmm4/4/dII4SasWX64RIyRv9/gOsk7pp2xzKBscDI6cBnK8FNO3mwGx5KlghLLICkgcyBmXo4pTqEgnTH0yh0sBAoTnxm7Ry4JCobxtHuaogaBZSxne4ZOOLD8iE6e7AzNPPbKcY+XluLBRHf78/1T29i7gM8QXkvj9dw2FbZhPqheH10PXQiKYnjZ8mHxYx5fxGkFxdjWYd1Hk/CkrQpCkKOki4kshusbqxSESu1T7I2mt92DCJ/Cgc4cCrQ7B5ild+/iNLlbl7SO/G0vJcdabe35E5txNjg7ifdeKpjoovmwLBDqi5wCejJLCG240wuSbnSlKH/oUBk2iVTiVgqqjBMLpDOcq9BXB8Df+S111LCDi67aLX80OSW0aXN8TGkuLJQdkdpVCwY+Szqnhd+6IKOJladHFu6WeERLNAeF7OAiOWQe/oanaR14Xb0Hta6jIZgy+uf3pJinYfAfV2+XOP1+LxD5N5HY1NSRw5t3p94LUyLrDkecFscOIbBEd2bHa0CDtIMkNp2QaGTFQGf8mcXSKo+xYA374nUha7aAsmSJrE3MQ7adxyqAeVJlFteJDlzQ2lqOT+E+J7RgRNtjBNN/8Lj+f4m5FFmJIFxrXxqW3C/GHt5ML/dvtmO8yGIUY4P0cYf4jSpTaogd3Io/WDh67H4wLdyjZvNTW0XVu5cVDbRdAGSjNcghbsUInuYVj+XEoLfUxi9csKZergPuSEjhPzA7FZxWYdmpDchPDFCi3g4yKK5TO18TqMJXHMomNfUny4ZQATg3dagSo3XkGSmGWpZcgEBUNTEZNPp3MKw3CyAWtUPl4hoSO4nnfDft7+37/N3P3MWXvzZT+unUOywlYVHiXqFTnYdfJ2c6lxbDB3YuFaUgsVXGmd0aBahXFDQEfEZcNNq/jHM2saxMIAiwsPDPcFnBd5MsaDolEEynxmvQ+y3Rt1r0I8Kc+a9KiBAZXIcw5t0i9dgvnWqwLxeyQAwOIyOkS4fOhIjIW7cHDo4dCdlR98ACiTdSDpcFW1K13wwsS3ECWK98yDswHa6yO0sqjgQHAeJG4GrSHQqQof2FnNcG+SCOyiSHBq8F4Pv9t/u2el8Tycm3p+VO7b5FXOsZR78WgyW2RP0SfI/JC+Rgk5WEJ06XX+XGevAX9edHGYOAycxlCvAAv/USe+xo352XAtSNiqW6ybeqcqJTg7IqU9npC1yi8xvYk+DeQX5Q3O4oOuV2X+7f04ufNeExK6DSxf2HXb3wH/4dhJvcYlwPj4jA9lYhkKvAo7DHu50bdfjPyD2lQtpaBTyn+VdEMDBGyiQ+P3hYpKuPabyabw8+aB9Xb46gvHAerJw37Lo4MVDsj7twqX41IfChjEi6UJy7cCgwBwZrekcKY7XZ40C2Hb5fdvR09uENkx9h0VK0nP3fD+p2c7ZigMaX5PsnQYY5XpiAYHYzId8PVrQi/bDjcX/5j19aV8Co0nFDyO9t1iXsrvsnv3/2y4Ixf0H/8kpbgcKTWmI0b60sxQbvn+FovNQyRGjAN86Cynv6fnwLJjtjZyO3xQerk395n2B9X3tvloUK/VOeV4SdX3gwX2gCmHcmuTmEvaXg7yk7LaPznWdvTGlVU3hWON1zMAunYPoBg8XDzP5sDz0aaLhxMD1hMPax+hq143LOcuObueYR7YOHawPAPfgEMmJOjDRBCjlzwRMXHamGC25fqqitimuGRpklldJEHdZAa2ny9eaGuU7ZoUjNWoikgkZx9JklvvMQoifKNvaNCu2UOZIV4cnRUqOKF9bFDWYCiW3BDbi0OLz1p9z3wWGmo5V9XMoKMVmkM+IOco15L4ebOtrEP8xVR7i9dyZJHwhdaToscEHC6cDxoIt5blukPNe+BEP97qsq4e2yxh2HZc4hLwCYIDARp+6tv26idHD0EDaV1ixkkemLpqnIXPe0cazH0BmvIRCxyXeLZM7wS13ez8LDnH19lDldmHKLKaJOu3cuaCSaD+tUTTZexD5+zo6vYC1/rhkKqoVjdhPL5CI9CVj4sizhc2+p1xiW2WTb9obumu+cDXpIgeGLx4kxmA/HEjM4BqHUbsrAuqnU+A/lZ9crTMfaOXy8lBCN/FhhzMIvpfKAG4MFSJJ0WC8pbAbLoQmmAaU0esSN4dKhsxhZsSsbsttdGq07dwwwUWuRsDUejEDQ/F8m4IKAd2JG6J4ebnY4IKy1IGz+ev4a/swfPDiq3fO7G0+A2GDfB2Ou31QV3hIKXosMowTvezFJH/vfw8dLuRpxoUpxwtunDkKpcazOfJxiNRDy8NksmNuXO3esTcDoJ+f4vBoQeD3gWpvFA0fsjWc1AHnhRW4pi2+B5gxk4Dk9H2St3lwkStiC9cCXuAzo1AIbWAgnQRn6UdrU2fsFnUNSza7vu7qPSPdC4Ur4VNTjL7SbjLjyGhPNq5LdJtcRx40f1ZuNLku/D0OKUfvfggIBvUU421SqRwLacS4V9bYZvu1hrEJBy/XS1NZMMEWHTGFkgdbvJ4xlqVgegu4dGETPsazYH564puS7XmcplCk8D08wNPOi18uwtjid7u7bZzXhy6P14xDPnQd+JZ8EdcK/gj8lc7iRq7mZ+XiiEM+oQTeSx1cG9gf0M4tsFh017i0063zbOiEBFZ63Ix/hZ+rnvzlFktQRmEaHJRVXFqWWzanYeWn8S/c0TkWl7IqOJRv4ZUpLMNfASvudoGLcsDMYXispJfgL/i7l+jU+y99G7+Nbfe6s5haIDMChVohZ5cwtp9dIME5OL3gUVkMkGilS6+jAEmH7eLDyI1jJgYXIYuLS5FhJ4fx1+VXuwPxM3zgDhfHhNdD5CvrEJwSMceW9ISze0lVhRvGdCUxR5mRLo1sHZsgjCNpHGc1wXSpWqGBadG5AhoD2oOl5bZPQnDqR8XwtuRFpgKmbNmK2ye1h6UMrwt8pPVxICzBF9T96PbQPhw++BsT2iKgc3M6SmQcJw8F463jf4+7Q3N0F6u8PbhdpJuks1WOOLyGTpvvNa9icGUjJZkdnI/7EgySLSsE4DlUKlBJpFx1+SCh0ABvuu21QeMQUo+OYiS1zhKYodmwJaXj5nMgXnTrHZdxCKKL4/Muwj0dg4cZkaW5Nedm571wo1PEebC5X5ScgbWlf2PJTB3P6MR3vRNAZe04btWDn7ZZ3A/GCABr8RpQPgHJzNEd3xM3oUiRWzQ8hlMMwWoA+snO8AGCEQC0wpY585pdTjKdQP3pYpsMpqvBctKFxJOTJqT/IHjjOoXZCblKQ0RdqJEm42g83mOIJUznYQ18VCH3brWH6Oj5uxYbjFvy2eK9w6qQ6YFFGAsUnKi64Ax6CEJMT06iDQjPLhvuxGhdhMJ3pHPMDfHKAVl0I4xAoBV920wnVO3G8/N1NT+pXOv5bcdbS0kKOnzT0CVHsRr6COUjzIziiz4csjd/b33LUdK4GeevbS/c8sv4S3u/fy/HUbf5T1ubPkwuYJQ/fu80UMZdCFkzh2Ph0LU8tlj/78di/78wRsvKX3LCAukrRoGbhoIEboD/HP+9xmhpPf1JjtVfur+037bf7AzkHHZXTUe/LF/a6/QayYVTF840bMh3kSdTD76fM+TaHCG8CJBs6cT6Icwr+owXAIgfhvZ0etJOiQ7uw/zBrk4TWT5ARitY/4DZxL22032xVA47dqWQwDEFxuhgyC09FAQMMbYYp7hJAJZ5P1wwvQXJIR4eHBH4XkoFx2s8GCx75pMg/un1pAUZr602hGZydw9hxcbPAVtbY4zS3HV7vMfmViocnyl4IpCGr2e8eghBdZGo2+9D+gkeB9xAcTh0EZkxPAZumQVFnXR2uxoJd2/droa2dbqPcZ35xfs3RiAXPxXFGbdQXCs74zVMCGohUWbK4r95OLG8camTW0wLCgbBUGDACenIePgwJxkXH3QKD7ivCznuE3KdISZnsLxwSDt4L1ZGTWVCcwiqyMjFT0We8n3UzXdRzDjcxN/XSKEs+oo/I1+v+PsWPFoKE1OGbkBw99LQQvemoXNRwuHpRplOlCUhzvpggslxtQCPP9zjuFkNIQCQWXELQ10KT0XoqqRppzDKyJgS+Zv52urny3ZIFoDFCccmOuYxM11y6cUBPP45tsP/OpgkKePi3Jxu9ITls+oCh7fZ6MKtS65upixyH3Hvayo97+5Z1kBnuoKRGJBuXWDHFEb+/vvuffs0flJFBxz3/Mtzu/z3Szv/y1mnc9kKUDq/99rjwXzQpg4ubGLH0hBhwqz7n18gucCONdBz4JNxoqSuUnB594P33D4MU+mwwgsnUuHA35RlAZ62fQDl10nrKLhx4G8WhiWAbB8cf1wWKU5uiM1JL+LC6+U45cnJVjOzOioQjJuErBxUIRRIdLO06nWjOxLYDqZ5Zy6hXraXIDRv53t3SBHw+49zODSPi8VE2hIcOjbCYJnoj6+3OEwg9+4XJY3YlkHwxT2bB8UwKDwJXwdDpyiU79v74IDieJKyNm4gNalbFv/+6meDtlw6FJ3a7hyGGGTRdM9RjMZeXTeLD1gBEoahOEGVwuWbbSxLgT43xozKQxeO1eTZpOmr5hJ0m6lkUR3FOHjM+4CYVGJAjzFZ8PCVsayjbAuHdd3dh8fArPl70Fi62DberxtxtKfZQ5bCgizOG5wRdIxQLL6X291bRH4YGwF22I0WOdgIHrAEnLHNnKOYieWms46LL1fpyY3EqAFXKTwC6Jy4N3l4wYLplsbeQma8xXCUSsZD7WIBcUNuf6tI2mXXpnsNl3dhHLbNENnHdPRhCUSM6iEzyPl7cxQI4xuAA5B2Aotg2rxP+zN4smOGgF3D37L4lRVVoiCDHcEWMcLlKm9B4tr3UdztBEufne5avLaWS5670S4uQV/CSPnp96eA2jLmgetGweX78dwYD0va5fiWk8T7pFExfAsV3BQHornWmFyQRwN1iiK9X5RUwm6hwXg/vm8fjh/aw7uHtvy6tPm/zm3/3/et/5dwscf6jAIJBkkML4qk8m9VUokx8LAPsn/3DyiQhKPfIxvztJFysOzuPD+lTj/gH1pGJbXBmxPnl7wYgr3k1CBBIyidN3KYIpiJ4oBUKgX2Rd0wmjOxER9q/gw/gz839158Nd5JKJVzOYw+lIz2xLgy2rHpNripD/eTwtk40TR8SAWIr7OMeWtpAUSCPLGPGFjHE4wBIGcjkeP0u8b3LX89mP3grNBX5Pgd5nASBzdcY9uHfyO43p0gn8Rmvpe0Jr6Q3/UJLRx20pnoOuyUu8GxuxywFfiT3MdYBziefpllMGyY0ZaEdlx8+jjhNRFYI3lSQvZhVFFjaDtYHN0W0tCHoCRV8JY3/xjwC8sSimR5Dzo97IIbVyYMkNVdZPVb4LLHwSLL5wQH0lENbAqTEHTbyV+TijIcLVYsu+QVbhl3MGwqMOyE0zquwqssMC1HySGcl1xQVZ40lndAKchf6TaAJ8q4JJcZkuiTiE5B/Lh8vB+oKmXy3q6kToqcBXdYfch11h/f9M9eEyz/9iGtdArbzh5welcu2fF0uZyAHA8sR/OxzzgGfOWAElm6cC9Dqk6CNe/ZELKuj1TPFgbDdpKYTuN4lNvqKuyKJJYIJBtgWLB02gU+Ls3uHNivpixkbu+7dnp/ak/HJ4tYxUi4CNpvwSAA0sDt/3RqD6cH7yfhNRYnxCIQsYEgY8n9BW5arfO140bPfe7vh0M7/HJo87/MbfzvYxv+jyHMcpM9Q3F8+P7Q3p/fuww2n4hAv6S/cd0hwOMx+dMLJJuh+3atkglTQ8pDI24G95st5CHIpTz8kIA1qsAKPSu6YnkoLFMuIgijgpRMNOb4JmAvoLd+TpGeHcc4nbIb4M/dT30sryrsnEJKjCvjEV/EGICz7N7SDh0Tk8B9B+VvsWSpD7Uia7VmI0K2v/ogcUPqyNMffb2MPt58kNZTHWH4FLwuui1MS7EF4/sxuqJfZgl0W+0eJQBDaUhVhFpVlhx8zyFvaMZrCtExFiyOlYz/OK6MvfitXeY1lBtCE9eQafJLInUeKqWwKfVQSQbLb5KcGzmlx6PfW6I3GlgOAZxuEt+pw8qRKxPreMjsOttgNjo5L2K0mC/cXlU4FagPjchIiH3m2xz7oHolEZsxieUU74VrTgHke/JZio+yCR3fcoUoRv6CLUHYV3o72mVyqOa1vJPJWdzR0aZ/qUuaIZ2M8lpo9wXGmQYkugolj1JyOdeH8Zjvk0s6JYlp0WbsAQUKl/GcECRx/zDSq7teg3+q72eZgsyRWKl3ZRLYhQvSyETnegrfegtcOL0eK7ZEojRGJ7A02mvkouNQhY8r8SDAAHSOZBNxDyxNdsLKhIVwID0c+cx1MZoDHtOXE2nmabNQ0e3xPE7fpujqTul+xIE7nsyYZ+oR9902X4sUJ2SCa7JI5lcPR8ngY/oCnA4R6vaub/0vvQma/V96HcSdTL4dxB2fvj61Dy8f2sfbRw8WCu7dXIYCv4ac8gOZxT+7QLK9EneDBsBYQJfXx0bOk30X4V0Y0urmwZJmzYcHzhXFB7dg1AKwgK7RsRkxCv4FngbQSndE3AAKCi50un9w+vuAQ97N8VubpD5MJLw5WlA9HI266Dh8OHggcO7GyGEIrpo3DRQKvkhwm9/szbg57aYY8ffpEpMRtSbdsYiB3IyJa3bP/FlHaZIOwd5s/8Ix5x4FkZnWvhfYDpzU04sHBVzRIteXZ6HdMCoLimY+vOKTeQ2qSy+ZHJ0s+CM3d1miadjxEuOTVBuoQ/PBos5r4zCxUOGyhMEEp22OxYwjjkJ9UJHM4UY6CgEdjTMjN+4yFR+QmnxjC9ggc63gZvJ9hlOobuazhsOEljFqcxMDu4DBkS1iemM7xNSQODcPrQFVJOEtQzyYLbv3/c7Pxu4ZbO8QSguYA8VftGMGFksXoPqsZEkkjsr1otDy4FL0KOj808KRG2rNYjFCbsFVdVxlHGQhxIKBB2qOyaf0+mWm4dKKwoqpAgoSCgNsCz5PHPOZoqAOpYJKlQtb2WvyDcHL1zfTYEdGsDR6lUvmJOUCRk4sJhqZeaNAoH+9K5gw/+WeBfZyCXdLsUOGvMk4GbaIoCXmo5+CL8vGvmSudI+EeT2Obfplautf1zAMobuFfYaL9zn09dCb7vESeDqkoEJ4i8N/F1OOnrBz2Cly0Olo3kfapDDOw9DG96PkdL1k4VC/RLLl7s9de//1fXt3eecSsIxd5IOmu5NwXFqe/fQCCbWlNLuCx0kJkMg9hO0TKhZuXj5YTlQ3rDkeezrhPpPOMHSQnESSz/uTG03Hk2UNflRii7W1dIzNIuXNzRYWfpezYuJISSOoIuoXJxFjySGs8Bl59H/sb7GBT69At50ZFerrpjs5plMx/o08+HQ065sDuSMkumrwGhafh7hBjDiA1weHrBYTcMPolhlTUplRkZT+XKg9jKq5rSze2t21Pf98SQtdcE3XiCvFdZm42S4MLHwY+uhYpL9k/KZFhVyc4dje7957oFH4TO5bn31AxPbSodybjM1yEf9TYaIZK0sEOhCoQnD82DzTyXGtMJMdA2O20+H9gsWigAE4v1zFCfnfjHKM29w/p4cA7pk47lnOl+mejilJfB5CX41jPd383k8vHk6YDftOPE9MGm4fRWIXNJDCzmsiYbKosDS7Pcw9tl6MHJYF/+RXHYpwDrn24NP4PrrI0m0i3iP3rYTnhGrA2GQodEvI9pKdQJGkKytuqu8zpYs2AWkXWCYLCgSSf6i1Hh0dtBWMOqC/XTc/p+KBusykcJYl3NzeDm463ey0hYiAKNJzVaI923cOJp7jNahG/BwxW/BivrDQAwc+de34dLRgLZ8yNwrq0etm2Bq0NKAaihidMNeQfUPYty5xiOfy0+08dX6JqN2yl6Mbl1Tenzz0gGr8vNk7fBvtHnd/2+kufjqnR0PyOA2/I3wNqGOLFFTuNYn9P7tA/tn9GRQUHHs40dI0gZaVxYI6zvHRm0OSMF1WS2C6D7t+HnZH07R9knbRxSZaCy9ab5j07RAkXlr/LjsnRpL0+9N7EI4UJwM0jDnwl6Ji+Peh8fD9d0H/cFxlA4ypeZKideK55oX4YXSWW4jO89THqQUTH6OH6zW8BZG1pa2/HQhjJkFgcDpxix7fDD+L41Ua0fIJdLtN/CedZ3rglZO5W9EkR/veE0j3MMxNY2FbuprTTVQXB51qDDBf1Q8HU/IB/eIz3Mfn4ogO1QLcipGRbptufZeKIZQe7RywBXEYpCLiTD6+WenX0gdMToPblLap2SV/JfXNRZPyEDyuFja6PqhNumEzUrK0mtOPEfwX63502PObY3x1Zm50E0d0zQZJGq8J7Mi4N/i4ypNwyIPm0txqa9rA8oP7AyoTEsTu5kNI4X/IL6YamQDd1ddeZrOarCyvFkoXLV1gkkbWUnjTQRteKaYVuuWMh1gO7iIKgSKnIgze8BJmH8IywDpsohPrL99U+cDcbyhVgG1aThlESFxXBRo6ad/Cwb1MKuQ4drEd5/Ph7xYGqwt+Ub1Sz/wjr7nHeQj4KpU8vH/cidxK83eSL1kmxEJjT0PbfYpY3iJr87nobclkwzMBntwnM6Lt/Vw4xOhWmRTs5pHmrg+yTqAF/mX9S/tt/c1CC9XIws74/m3X1j/WNnwNhyTZHnAjuzcRiDr3LSYlJgAOt59eIJE0lcJACyugtG20bbfoDenvx9jboiWW84drzZYtNeFdvPiyfgcj2kJqdsfR6EoYbVMjXJ1hxVr6ig9h+2XIFmM5uCR6TrAOqCN0PemSIqYICI7jTvrvKUvDhRgjgXPgZZLacc7ZX/7T2Gw3BIWIDX66Xx9eDu12uQWGCml3DA9L/mk8Kxw5Ehp3oeawzQdXx3AVHmJ3cvtIgaRgoT2vQCW77dRc26knMdnNMYoG3g/LIL4YTeD9wbemu6fzQ9tNhzQEh5AtuzQXFmxbwgjpoC6+mmOh6ha4hyQRAiUSTg9FiGu4hs680iG9MemSUn7o6LSl6iSNKfxZSYGyK8niqhkIjtrHLbb9YFyMcPudmCcPBSOf0MBr4NSO8eCu2RF8GD/4UFF0Co9zasCVaUo2A0UoF1tMDtJAcrEoTpeKmTvPkFGOOAOoMUQTc6347+CE3JtpxCuHDkhrfft7fq906SkS/v17AH8Qs8p9wuc79HdzCnXltVikg0Sh1CKV0GvOgpKuOKeQ++g+x+SmIcQt7mfuNx1vWJClA7nvia+ECuQVIjXM1839auPxg0WfdmDsGpCZL2/YYFG2MMu2MUmvTiR/D18fDGArFgicY4rk4+XR/HWu5/UchZEDgeJdkRlIY3k9dNhOTkvnNMPr/m3+rf2X6b+0/zr91/Yv07+0j5eP8i55f4pMuNZktJN0+S0YMXTQ5dtaNB8XX4SsISklIoX68rMLJBrGGoEZHShuWiplslphd1xoioVWU4kfecGSl+jWlFMY84T0T+Qh1xKN8YgcDQB3Il7BW/LvuJTZR9yCrsHcp2ssYdxO0oEuQeWw++Di4vjD+AWB+RK6Y63UyLD43rXpZVIapTxyi45GLTiejbTw4Elz4CiQqOF+te9N7ak8q3UNH73l8U2Kl5bxcvFyW+mDmRES6Lt5uNU3r/uwJ9unKmmJMV6ML7NFlFmy/U0vQbvRosScpnZ+OAeAzYPKeIh+nM+Krm4LSdr5eo6tPq48fbjpqI0GZ+2DnF2Gxm7d0fWOFxcLbhXx6yPXZ42Rpwjadrk0+EAYFD7GaBYSQ8glpUqtkVvNPcJoL/WHKeBxCIsqeJdMGWPo5e3sybO+xNjoiLUbxbYpNHx2mCUzrUhJIk44A+PpLlwGXpvvwZwXoknhM4IRsstZxvvoX9xADUdyIcBrU3TA+Q0Ek7JJR/osslWo3fwnTubhPAcBvxzL+d+8Z2CPSq90KYOEMOEaWQDYBkI6717DkBlnJvDiXYyWLhrW8Ekt7NTON5eT9ZxpvbcGjlhOOO4Nyr2G5SCvY9+9SU3B7VtECddCBTGC2UZTSFvpuD7vPpuzQwdpwB5a93McfPhfCshc9gaxyYo4De3h/UN7eH1wwYv9nf4CSaeiOfjUf/I3XT+UsqLhwYfm/v2t/db+Ovy1/dP0Ty5eUMdw7/bPeSABDVwiI52YDLBYnlM9Xglwm4KGJ5TRn++6d6/3zy6QqlFwXoYyAQ3mli9sXkJQnqMU/xuzBE5Ab/6WxTHZ+HY36GfbGjnBnJwttlaEzPNzKJJyK9PFmptGLBHVEAFRuJ/MUUA5dSD80s1QpOSlIQPcQgde4e84jehmsp489UhfIz6Sk62cmykKjlO3TR6VNBwUJgDTl1PrvqXW8zz6MMjLzAWSmtcpO6TEODxl07IK2gE4K3GzFDFudC6iYUlwxtiYJqG6WALKEZPrZyeSFnIcEHadj2ubHifHVUwj1BiTdZNO3zxIdFk8zEVhUe+9vd6lZsdDPOie3n3a7u9nO+kqkBQHFxp0TqimrpuhSLfXW0Auu17QHMiOQsTNiKKKcYm/T2fnIqzf3qaE09jGh7cRnYNIGeMlOs7yGSysUO7isLPT4HprKpuFQzL4NQ4yTYE5cJNraNElLZA41aQUVRqj0lUciKD+QHYfg2LF5y8/D0jGlzGLxTnRcKiMMQUY/iQtsbsXaIsWcRPD5M91DEXpRbee/qGM5457ZKywuKGrxx5viQ02B4Q5LuM+liSYeKxTeJnujna6kq6TIC89hjF9vkWB5R4Y9zYUvF/hBhqO/dy2hy14rTxPwJOpFrNL3gWnEVK2nfw0hKpt6r0Xvo3fAssEp8+IZN16ps5RmAJ5/Hh0OuD51x/z+GhMCv88XoILzfvls6MY/jL8Iq4IzMT//mv7q++FAo0rFN+XBoR7SHPt1xiT1V8TCUyjQgM0zXGfLanMucZv2TJ87bZgSDykYulnF0hObGNTMazdhRabB8zIzu4l8Kbc5vHAVnJYOaSUFlXuGxsyojFpf/uz4C7k0d3DLoB6NmZkyqD5ZXuItdUhw8HBPrLTUqnwQ8tMx1S4UYHLdDMuCi4h8kepwv+mMDp2slEDHI/aFOqStLriIABbMgv8fPQU5CYwF6OLzBnlaeV6grKGVEMWBGsWArS4y1G1w4frh/bu9i78+AgLY9nDTY2kbMnxOfN1KtdFXJVCx8GEWocuBG0u/DkuOpjnIbAqHrpS3RgpUQFX+yDqa9pLt4xPIB6RmVMjVy6lnZKIUwppgeazTXsqjU/hrLG9PS/t8uUSsAVGC0jFMAPIRVgphgp35O9SHExvZBm17+2+uY8wIqbTKOdosViWZ+lezr2jDwAyvjRpdmuLlygPKX4Yt4AUlKImJapS9OgmX/ev0XljtbfGtKEOGIOK9BVweQBeRazo9uYg42iIcUIfjYBLsx8oQGLDjN7U07RE4/0DYwCz4M7u+04ckxGSZYFUND4f8DLI3bjA56LFUTuhpzJvdkEy5O+MQvDz4DBIKIdrxoFugcxgu1rsVLicQV65vJEGlpxkoZJsOHRRmkcpefBqy/le4QawGZ/NFEIHDnyeEQ5znq3tfYzz8iXBYvsnu+F3x3ehiqOx6AenKHiJiDigdkEB+qX/JRqijMIwyZO4kv5F4+HPt886eNG99i+xKXeJtwTOyGelYfc1UkjVg+eBBoyjoOHhHzBi46pC0YOSI/WDTJBdyLsqHoCxT/v5Lk7mwit5kRSaiqMEpDdjeBd5HVR2iuPDMeIxadc1opjCMo2OEsLo48OjHDdB6VuoWRwRcEVG99oNMfokHoaFViX5VcgSbuNgIpz4hVHZfXanSDXEh3K/BCF5OYZ343yyOygbLMFuIl5r9Mp8DukSScWhG6BIK2tbH9ov8y9ahz1NqeIBQIaGg30ZUENm2/g94QNCSaJTTvzSz47RgImdA4OlBWa05SaT5r4oeEwPZCtJQdzNMTbCUduHgbBLLQrx+kOGNLw9/n1hVae9gLtGsIx7WJZB4h/6UO4QHHa7aN3v9zxsKmBwULcrwbWZbSMhYmCVBIPNieOlrNDM8d1ePJYDWKOE5GXyy4VVFu6yzyuSMx15ObhoecWhmZZ1dDd25XzBfOBt454NSZs/d57VFYu9wo0FekkSO58J103aGHASevDtLRfcbHAc1Ltb/LwFfkzwLdG4V8gVn311ZRREFypDfG7SqjIa1WRH8G1cel6PdkPSwGj8wD2H0Gar0Er7PA47ydfphsM18bPaxVZaCz/G+l1s/HXZwSEeR6N9LuvAs3n8Ll0sHTN9086124tJj8toJ697EOT87hh54GDMUNzI8l4vUraYFnTlQSV12yLvehmFtpxmwGBT3FAGv04lrDPA7Y+Dr9ntfMEP2Prtn/VV/Tx8bn+2P9u3KYvjc2/DwmcGhGQUbHqxcs1oZLRDg+VxDA8Budto/nf/gAL57vrOG/hOts44TXElMMGH1s77kBjpRzctd6uy0j+63YPvBt1jv1rpOZUoSI5cWGZ1iSPdmhfGm3AXLbkk0y7W9uXvyD/LxftuKgA+0We285CdEhQPCgA4Ur5zFRLgUkQ59A8R9HMcPXE1rSBLl7xe8B4KOy7IjM0ZUlXO4y4veECuJ98nD7wd6dIslIz1v6y/tPfz+1hgzUEKlifJSVfdEFtXjAJSvUGxVJKG/A4nErr2W4DUZlPf1rB4ggLFxpFcEAQYLKC2NI7YxWetx2Kf3p1AB2zvE1c1w2cKJY8/G47jU3TqukGzrCrbrLXTUMREyCG9+vjcc1FmsQXwx3sz825UgrBdvyX80YVZrRtW4AdwukOoXfx8iWvNGI5yTTI8rZ0jBwcN8dq5APBBoLDl8kkaF85IvI8kbHsttrzmqH/OsdFWyLCPICheh9jgnFSulKp68KSDEcVRCtUQNCpHZBYquKLPp/i8gHjS1KQWVKXtN88JNQ3m0dRtzKf7hzBQ4Vq87jX9UBtNV5mRt0xn4vEsd9JYV5UMB3h/cqKzgOEOlO5SRqiSpIkRSG68fY+ZXMkBMXwbxAf9jCgeSaPzmclF7Ma14B5jETkc/Xwtajlh8Jo4ALj3eG/Sv1iqTXsPbnwh6/q4X/Dbvi0k7YBT8194qFlVyJbb1dGeRufz9rl9nb/KJNmdd/oWHM4HFX5gm3csmyXwsvpn8IZUbDJEp1tClx8ZIj+tQBqdStEhnS0DzYuMLVkbQ4NxCDceYgLWa3Dq5sgy4ZfmnHkhJDin0QBdmCRfgHX+3hq0HHlkFExG2unB7o8TV2snvpC/0fEweg0BdCv7wnOOMegQ/CoKGoC/Bq8poeJ1Qpo1MEz8PvAtXiMdRPGvVPZAG6F5G7Pry0VTbdAZ7yzg6ztvIjpgCb/k9SwXxw+KIw+R0Q4YL5CIdxkcEfSmzAwUO9GUNNqJE3K1O8dmlq5zi+AxNsCMlodLenJyGL2Gzb+SMbpPeGnHJXTYx6R18Lnjbk2Buow+lHwP/p0bYx4mPBRxU4EO1Kc12hw3uhG8QE/Dpb0+hOpBjO20C2kaZOVLyPzK0s0iiYPSEO7sFI/CdovwzeuT80oRo1AzsrILrAXa9ioP0SkBwwqMK/gi/yS9IiXqJ7G54hkYWd1ap5NL0dT8lfeiXRzMA4xSMp7irqlGFUSxIx0vHaIwK4bHycKAzraiPShOXCMNJcAhGY2x+qPbhuKyXt90/dCUwNopNHggslSbjnaSksiT9C09JelyarvXuL8Lg/fv7zobD1gAyOh43jjMKOocphr2YhFGZ4ZsE5zueWv9t957hi+J2IdYOklBWq9eb5sdnsVbdPw0KJXFXQ5I4qaYW2QnzH3FRKZ1ID6dS3wOYrxe1FSroeoC/04esmYuCAnmuNZ26uwGprBMNNeH+oy7fz6fcm/TQ5MNO58Vz7jZVluwCYo26CQC5o8b188ukHRzlXfiBw0ORffAFg83nRaOIW6okyEvwN/WIC93r0YjPO4fwyGak5TtNzdff40tYpLQ7RAgZqfFuiL5S3DMihhe2TjlEKJGu/vBgYVOknwLuIk4jLSbBrul8+S14DzEa2BrBzZZRq4UD6VySTJXOcQYQ7xnUTzgiSUn0m76Ep1gdZhcHDiimiks4Vxjh1QZMfz91xgTgAsqcEnlDUWOTT66590sxltpf27IcfteXsNB5brEA4AZLcA03cFui6Cqxxag9Ck2olwjs3oYZdMI1twQFBs5SpbyyffN60zHIuWKkM3RUk9RcMBydOMZR0m8FC4XEQgCble714IjKjjJjTljIB6KYyinpCSF++2d0iKmiVExGeE4rEM1ypsemOVp9+RvcCUZEXBsx9udNlSQgd0aFKuUpEp7GcMjUKem3c3vYWFGc590GlUYfP4/Kj5wEgc33oJALX6eeKkYaXoally29O4++JhVzNE0cJ95X+wOUZz5eRCjKxb5BwUM9zKFV6d76DYZQ+BBwU6A5M9daN2lSWWMh/LJ7KAVXHAoZE6RXe/r0IbnQc6p0A333y5YCOCEvN6udfGcJg+T5wQctJoau022/JhTdy93KSzXl4aG9y3LpQX5m8PM+2wK5x1zaCQmN1ks8mK3727NORCtA0ti0YTBpTWg0AKf2xgTivdvuo1ruwgHe4xpQ6jnISAgXrNqMNR8P71AAmrzkAKCE2OQ5rK6SaNqyTBwyeQZq+qJO0SsJM7WamiTv8ZFBk/hpBAUT489K33ST+6WVUt+iFOy/HNsUXWCjLACwjLhzv+Wtv+le2VxRCwANzv/na6Mou3FSs5XXQwKeqW3WXByEWPni7wOHAN6TI4rOhzhNj8H4deL0N0C+8RbEJiOkyuNDNQ+zwHK10gnLQTpJqMocz/qh9slusXuEh0mErJpuONxPgC3oIRwUtvlUWxwpj41jR/o7Hjw1KMv4ZBeMRIC+8MSJgypS7fzPMSoT/HyIeXPYo57yZzzLUYr8ElxJTK0uyeJ0RRcaRV0TbhlZyxB/SrqCYWgxn+XJyyqODSYBvjMWbigFkp5ozSX6dg+Th/br/2v7dfh1/Z4eAzM8Ha5Z83If6vUwfy8y7TW4jgcLOiO6jhyj69378SyUKuEPn7x+qtTs0Go0CkKWLIUyjW+XILqvvQQoJHggElTBp4NDFNgM1DY7LC5TzHseAjVloVnnzZyfG1vPFPHYKDhPsfr8RQHRvd0z93hmha9TlcgPCk4zJn8eIYxG7kmlQ0cMCW8d5XYcLNIdjQWGOYyTaw5pkKyz3C9Mj2h6KozR9mT1Ly7W3/a8an1X29+Bt7zMEuAYXk+kilAAsCXDq/+L3bn0ujWg/sPoIiSf4qH4w6UqaRm1sOumOJAtBk7nMN8G6u/x1WeJpOU/N7tHxC5wIXwgx/CHqy8DXmQqObKrJDTQRbPqEc1rumQjT/ht/WbQLZLj34X+st2DXyCTWWGF9m+w7QHP6CrmqKbrBu/7JiUkIEj0jFnIJT4RsapaiSBBK7tLDKqZLILE9dJ7INfdixcNH7xrzLilotaWGphlm7oslOojSDF1Q4jwXROTI0KtsUb1a4zw4sE7OmMEOcPcVJqskAO9T7ywLn4mDroLUhB5CTGtokizpicYV3c7I4jt+hOKu2PG4gOxe5tjWsiJQIu5DXGFr7ooNzGZ6SsWuUMkK+grdqi8vNLXeGds28uc7SvWuN3eXV6TRib4LFmpAHvwXEoSfh6ZEJ2B4pYL4Fb38a72qWwQKMTpk4GBaapvw2/GV/B32ecchKZQjRQgWB1sJZai7/LNpXDwm4T7JrCjA9kQh6FfZeCy3uRhRGHY3qAlkqnFF5yB1nyABPYLodhi9j2MNr98X3BeZkUwBpR1wDH6GNAkYElgPTvMZkEaL/TxLcOWJ+FpEjpqUh2PDnWQ6h+pLgxKmc4FQ2A1CToONfU8nN75zhqZztOkbmOTVlOaqqCWppK72IsLdmiW2yLRijLys2dnyGfmeUcjQDLQpZQGQdSkc0qdHhOtrQvRPKYcmAOaV8zbAGeiy0KZETrhD4eb0g9BEr1kwF7NcHqHzA9+E9YCzQIGlzw+yFYN7Wk/OkFkg0ypz2VWaA2T1cxFz3AgmoBBuHJRKHELHd3iLxaRhSMJLDu2iapCuWqYlZ2qhgcs3+w5KrgeZUC+fNcXuCgQheTgVjeWMn8d4Oe4zptPWOH0a04lGCxhuktHyp6Y6zYOIEYV+HVUZDSYdxIg4xO1UOxJfZxiAVEuaTL+UyDV3NGhosLK/+5BtfTDeEa0irt8odFr0ZHk23xc4KTSEdmbCYUhzmsw/xNcUyzBQ4XCehcgyzABXoXGF8RA+iaxbNQD91CaUHHBYbpA1TvkY4gY1DNNudrjQdYV3UWDGNI7UStxvhdPMvqcvQl5NrPsfSxCxneHI4c2zNZ0itB7glSxstNZZPpfWkSW4bMvH43zksWBXiQOEZxL0Aty+gBQ5ty0VM/xyLVP6i+we6Oz85w+uHFRYDY+fymVHKjW871LEXSZk2JIPr8hHP8jKHFwI4g3fIQcj47r324a7uIWbJ7vx699+DXovPGUMEUPyaKU3TxukHBVYXUz3vLfGtNMuikwbUz9b4cgDwwmd54XZjf4gOQyySzpcHMMchAk58FV2ktUwO5UeUrAG3nFhtkIZD93g63nkOfReAQOK/IVZMaVYWV6U6ruFy8OPVlfraOVJDYlyneM13sIWJYPcz3o59fkfR9RlDYwelMamBJE4V/0nyiJMb+vMSSfSZ5do5jW56Wtv2yteVj0M9c5J63MPf42QXy8HgIM4bjGhtKQH5S5Zi0oAG8Bk8QRrvbVTJZxr3+b457PCiXm4RtbkadrQ8nwXkI4JxWGpJymvzgoMKiptyBuQB2PNBJaJ2xVMt4TEeyOQi9YA3c0CoelqM3JPgcH4wPIn6WUBLQFKOSSaKyuTpJrZFYm4Tjctkumo/UJk7aHNtcyiCjTNiBFp8F0PPwHBxRku54m7hoo7hhROlDbVPu654xmUnNA18Jit78YD68ZjoXxn2gUQT+LG5SmXA36qCDpDhwsAC/wfWjQAJPzKsLNA4KrOXq4ROWwKaLIptfd59AiM5JbVIzznYXNczQ3+kmFEOxpVSalOGFNy9b40MWMpZ6fH6Mo3zuOWnAtWOxQ0GtWFd+iScXGZywLaR/jPeMxlhlpeRSugxbVpZVLILy8KDj4+CBnIwbNZ6gPESA/zyI4HrcO6Kj9b1ZhPRLuBehGEFpk8FbhU1Wt6Lskntsf/QB5vrd6TlMwgU7oU657CNVEHcbeLUkE0KDyUUMqiiI3Ga4d2cL9F2DL80yBBUFBd2df5is+nAHougZw4F59RCv3f+WxVCz3+54z/4pL1YWmNX5mR20Js2njYG7AysAX9EZ77Pb5d7M5UpR+eymW+LsmUjq0o/MnYwm0R2d6WEcg82yy2xsKZYRtVxuXFwD7yPyoGiKhnBc0hT49jYpCn2BnWdzZbN0XNrt8da2p631T71MkEoQ+Idk0lTWSOlIK/Qd6sbT+amdnk9qIq+vIU3jprborcfAcTCnvWz3xLFP7VN7f3wfCgrwilOccDXSSeDFAxIm/Mvmw6NM7uE1CMiQzynSpM/RcdC6I3fEOXkMG3s6BkcPTARSHseWrD6kcjuvQHNxJW6oPnlsEJ/Jc4GwK5AY3Ly6eTUr5drO4XjDH+Giwgn7Mn9RmlVqoVp82G2jbMh8ZfHHhA24qYEijB5gRKfYknkyvBlZlHNQMQhqWcX38D3BLcRIYh4F4NX/8pD9qFdmY514YuFoRY7XEAIcmVOYsYhGKGWMZdbq9UchlN/LaAysuKYwnBBbug53JYOF7hiE7OLZaRQ8RbY60jKLNnnVae9m+BbLQOzXUuusrd18a19uX4Qm5N/mcodFS+mmq0CWCschFMs19NF0JxmPoRpni+9fKiIe2FKE6bQz36Lzp+tKwQMdbI2b1VWx8ad5oFtze58LhcrDZknAPeznw0EH04JLjyoJr8Y+LPSUu47nsAvEbIIvkiK5NtgG0ulCU5kyMycPTrHLfS4joIq53A01kuM5RhIljcR6j2drDg6xSZC3XADhLpWUpmOXPpQsnZLN4TXMpZtsk8QY79MBpiiJJfsFJMFthKa/RaStnM19KFpgTNx17txrQB3EMQ9BB7RAp9enrxVHJwpc5n7fl6g4N8Edzu6faFd+V9NR0x4TD4fmTy+Qf9v+Fhy86RoSsukakQrzXv4fShMNHK6B5XnhuIFuXdzI4HeklU279nR7ar9uv7Zftl88yT2tOfHAN5GGbRcxKQonXYYyv1tsniGO2s3d+nAGX9OgAb0v27J9GH2CN/HwvV/fi43xy4Aj/AOXCBFjlLRwYQuYnDP5htwMuZCxYyX/g61dXRT+PA9wEtkFnW+xcRX/KTIwIwfuNticLUHH8WfiDJ2mudJOAO9x1ekWOV9GHaRBrRvceQprNHAv7qVcINnRUMTW7MqXvQ8vN7bdPbAHvp1kg2yHiG+4LlJ7UBJJhk47tZIbVhiTWA10Ero5/juKHJgKyAXT6IEHXwXLuv2nUbiI+G7+gQXyofIhT8OTovi4zV0Pdydtuu9yYClKixhWdhIUEJVA5NHMuRtP/bNjP5K+6n4pMPy31EAbL8GyI4sNr8Fin5EOPIRcMyWn7XqPztDDMF3sS2mCCkTNNarO06LDuomOLMSYKpZ94Kn5WZqqueYTN/3wO8dF44xzqQlkUuN8XRM7Og4VsHLCyC5NPFPqElSsXeZbVyfH/1/BWXm4OX1w68FrTe6sNm9z0Gt0Ml8v97jflrG6USiiVIhFsiTJ5Y7LSMbwxH1dlmQ4mJ87n2m73d3jjQvh/if1ABFCBpVpqTfNEX+M/HiMhaxUogj6uTMbxBATz6yiykFsbDFSSNQ6jNQYfTC5Trc7NY/umM/zpxfI/7n9z7jQt4h+pCDIQUpncU8Gqj3QF10Y4G5SJ8RB5lQcQAHYHgSqf1l+sQAy7oHZgW8qwcogH9/wEhwo3bIPV3E73UDYqDG58pCy+WzJGRzPYY5JwYHukw8DJwcdhIqyjMjUz5Iwod0WnURZqGGHnx2VXRr63DRjqFOxPmSwPccdcjUQ8NMps4Vfxnukpxr2dDUvo1HwIR9qCuQcN7XvYbj5HjF+VR62RfgXNCEPnMRi6mH1c2fEufXiW8aldqFddbmT3a5mHlC10KS/RAdZedHiN12crr4vGg9gBQjpvKcxtPAsBKTIALmgj2bxg3kGG3loLmlgUWHuLjvQmy/pdg3eRsdMYYB7mlZjfCZSUBAAbLHpvEfZXkcP1ZK5XXaX8IPswxS2wrTKv9KxF/5qjnY1GVB4+eVksvbR1f6QO6OxCfSW/dlrY9fO0ue6WYxccKQySNYGXdmYXePTYgEsMr7Eb6g2+UDbVUKnonveBaSjscYtst7FeIdbcH4hmju3pjvOeAqGwPbkey3rLg5l/r55O32IN6S8QX3B87OSIekW8YUsJ/40JOY66ubTpTKqO7evl696g/L8+D2HEEg49JS3ZJLuXZIkJeuuWEoXJ6epOfHHNFg2abS7BKcWaGu3D0iN778k3/UWvgiVUyP/Eru7SAy8w1+VuSOLY+qiWbuGKIMiz3PD99W+DoYJamPGe4o0X7lg+6kF8l93/xpEUOyQvgeHSeOEY2AcZRbLKr0ejrpBvTDpRnN3qs4vHXjwAIR/CKaB8m2J7GsoLnSWfE/HyofwTdR1PBczlYviw47Gt+zm6bhSDiXPK2VGnqyMgFiAwZVLu31/+ePfsqBVEQCCs0yi2+Pi8nAwYqTNmdpU+HSMh0soOGpsV2ZXIVF8YTqaJGIeREYCre9vvd0Gr4MCz0LEJc8+7JmKVH8vBkN6PiL9K+It8AV541N0ZHd6UfJCJUtfgnc5naegRECDaPP9vUhfoqNeU5oHnQtpGQ8rFl7j6a17ZTmBnK3LzxnqCBLI3HYW7aqWBmZzs61vsdxQXZWSOPEoMOf0I/TAuIyRf4IJxRSfoRzZfE12+kQQUIC4XuCiOCbB9UyLr+LBueDAj7IPeo651mSgpBejSX+5lFMdA3fuEMs/c3ngKE6hU7YLY6wDV8NnkrTIQ4TdS73BbXs9RBEGM5RjE1xQukvveZZa5duZYXPlA8pnI+8Q16AlOke2t+aIL/HfKGbicX14AnDwc93kf3KgZ+60sEv3dpDeY2/7uI/cUo+hbKqEUF4Pnw332IFRFMYe/gqE8eGMlb6m4qs0J3RvSenRHATKXrJSxJQx9G1hCl2HOkstOJvGKydW7uSZfpaVqVMO+OWBqnY9qXwVe2ExzoQCJkuWU9yjkOW1nrvGxMh/E745LD5XP71Afj98D7oCgd+c6NP4/5e7XDZdxfeyhccAdzoEZjUM5tpqrIuXXWZh1BhgAYb0nGl+VHwB530WyafQbfsATmk0kfQXs0mWN6UEuJN5LVCCaNnhDSZ51pqCrRg6UZaCWR/FHXMUs3MCAKebzNde3eh904Z+N81w5d+toaJwQ78fLChlUeWYw8mLUccYFIdpH/QKO8wl9KJmjGBUAPcuw7SMpNg/Sg2h+zbDB1UMGTmVQpfGB6VX5nup/lguFkMKjYXxHCNVwRrmZe/C5Ya7ody27+5BLGng5O2jw7Rryo232moaTsxdeXC4kWtaELKN7bdOMH04wdQG20KWXbXdFguXzD6v0V2LtXMsc+R60jWkBNPXlQukylMpsrYJmv07H8YiVuvwnlEFLlTazZgLMV5I6JXQmS7u6v/3e987o211Y97r41teuiFVOF5fw0nKEY5IXRZeaeZMwwAcIEmfhWAuN7TeGgY/V5cadMTr4U39A8ePxR5qEJIbtzgghDlw3kF9w4HZxeu084U2VX6mTE64zCOXrcUYoXTk7ZAlNaQJBwfFNUxmZS5g1ML73QV/2Djn7pvdWckr+TNMLKjbeM6ZeoCHYAfwOSmMgA8957NGlk8exh5seBBc17dFLE0CuHnWBZ4Jeb8J15iVU8R04itYRjFh5ZdNEh1/buOB5Xhu9AzNVFAUUBqX5DTxUwuk/D9Gy5T3GOWabbi85h9esF3XLW/ydMLmhXKCYqVE+1+tsadsYj/GrM4hy5IWABP/EAl322NsowR2txTbc3KQo5L8RV1MGF9g24MDYfvlj0954PJDdzhlEPo1lxMA4Zkfc+cp4szMzcYSAMY+BGdOWrpjfkML4ZS8BQ7pa8DI8xBBQ/Aa7bK24c4D1F+RjW4QvO7jN3w5uqrqeHmI+XfcpKpGxidJ9sRUuAEFe6TQwyEkxfCyigFrGroFSV0zDg4PPC1ve/EdPgdueIqW3pfHcEoS2GeaWjJWFxA/XZQYw++ZzIw5aMY5FBjf09S1YkX9LHO5U12oevKMLfB74leZI3FtlMWakuAvrpj+hGY9X+Mzd+TC5IJijsJwl7/BYG+52WTjnVQoCoSmFdtbl1OZ0XRhPPSwDLgHxe7ATyleyXusoii22QIOqNwbiySHEREH1yVc0Pn5yWP0twqEMDHR7OSWbIwtuqzKBHfBMMbWV5wxJx9ZCJmsWaIMJXeY4ebIW/JfTSnGa9CXxmtgpfgLZDyyByuOUBzWcBe34LZ+6b+4GJT9geELCykOLLw6d3NY6fUvyvggccvKwEVr7gzk03xl3XlPfdm+eI2rOy7lmU0UWHYmQroUZPJLyKXyzcVZ072nrleZZReMJRwyRMNj0WV5jEtRJhSIw88Pxi+YCb7bhyEzEuWkQXE//vQCiXW6YU/kj7QUxhO+Ts5sHy+Ch0D9JTdlYh81ktIhaDu/C7ceQdVrKETopBidlf/N39qX5Uv7un6VKsPNwALFTWGaQxSh2SUAYzKjE0UvuXCe+HSwmDuUoShyMYruLfShFti0sC8jA/8ur3eJ8ZsH0hEfjHJY/lMWizfvdW3dOWzvJcsSB4otFBnTp4is9DWwWYPOgRfg9CrOyiHARXVbjIxqimJQRZ2OiRtCS6lDxF4qLUtrKRUJaccPfnM5X9rL+SV88SqLB9iOrev8EA8nW0s24/Avjy/t5fSihRwFXcMRkIhcGGlIwjZ2PwanL8n0Fnk0skQwQOdIPa4Rn6gbcLFmxAfCQEqWenreV6VNFpnaCaBLML69ZeY40u4iE9kCwpYcvKl1ZkDTUYp/E5R5DAdtP4drHGo8rJqqjBH7UGayOnbT8UOxylwZSPZi1kt0O+UYfl/0YOKMRJGuPR8yrPrMsGaRdMnAt5fFDl3/y3EIlRB8WyRwLLJgYUw3uzUxsDTUrXgQP4v+LbLYiN9UnxTlRVUe8AIZMfA9WSwh3iANcXduX8Yv7c/dn3bt+iPgC5nbdxkM+eVhvcw2IxwSOORoLQjzhIXQeJQW047N72tkCgukdpbAbYQHogRw1XX4T1p5dfYpATYnCA4nJhK7631zLVYJNk1QWcr+xMD30emW01WZrZQuncOfmnGPrQU6YsIbg2+rKcotOnRt+IBB4FwekxaI/Db9O396gfzw7YPOLyhhJF/3D3frM24oHvpy6rhjH5mCKKEUh4/jPsjQODYn+VtVDqHj+yn0rZcskv2XsE7rtxgJwBYvmehXQVhQfLjgmDqQSVJ8reTNyb3K7GOL4zR5o4Kj8kHSMQQennhpbsr4u477LECmsBGT0AxGNVyDnL1ew//uNgT5PEFgihiHBziL3Mbh5kld6gBt3uazJ6SUGj4LHM2WeJ1induuvVveBa4GrSNvRg+FIjTTueLgjiX+cmnP1+f29fzVwmvXgAfk/ih2hY7dLgxFEpSS8RIF8vgSBYAFzBj+ljpeYzSRDi81vjoSJWXHz4HC071lSLugOOqNFnhpO8SIlb4Akra70Q7DeI4MZbK7TpigbLTqq/Bgf35aoPH5MnKyMKJDoRN2yUDSIHb+c3SyvAfGRS3GMHtAdofvJ/SYbnG01rQWlROfLY4zt5h+KnXPZWOLrHJdh1h8EMK1LgE1MbZu+6CeEN/LAcTU073lkDso4EiEQALFT5fEfMZ4JpI1bMHc/mZ3e596kIH2IckVI04VT9F0PBD6i4UXCONv49/an+OfTnNcT36VnLCobMoGGXGBQc4JqVBMuDfAYXeTHfLuuNOj0UJP158kfOAy2QMQ99cwZilTaCGEbq8nqwyB9MWk0dFWkAUV3T+PGhj4HC73cnjJ+c78qLsV35Ju/Ekz0+bweZZZ4DI08WB/823BX2maMPOuGGM27ePNAkmnzmt28fbTC+TXD1oIsQkFJxMX68NEtxQPytC65LntsnPMTqEKJN5sYiJThHvJPTwFWdRFTeZS1APi2NZScM92NPWo6pY5McBfiC9N+WOBt4zdfFCcbnIR6fCmzsIID1P/vTk8KosUrgY1cTvxxDX+jEBwPuiS1dGUAngX5ol8MAuA2FoG1ds1dje7FTIxOGFV2yxBHfmREyke2M/3jttFUGJZAtcUKDpzcD+6XhZ3RFlAR2kX42Mx48AJhQcADFZKC1ghOlz4doy8u7eHVE5ldiWmTbJsolPJzS+FBeyGQmLsApAJuDIPMcsa8PMazTHUPYz3cU4azJZkeq53JlHqgNPPYYUG6ZcbH+cbHsx9cNaEQnaxKKgoCnl2YNZs3XeRW1SAvVJICiQH7BIeoVx/MGDpUpnGeO9EUjopnoY56xwLBR/A5F7WQ+UiZTfeMWwLBZty8DI642kfn09GZ0h5YfxnR5KwSh2opdF3OQaNhcKQhiGO+Nw/494OriJL9Z0EvuiDxsR74ncVVL4v1+2P9kf7vf+9/Tn86cQD1iauj64cVkBi7C6IGKFzN4BrN9PLy+2lfV+/382vhRjGUKTwrLH0AMYxNfAWzxHTJPdwLXmEhObea25nyXvuMrCvX4NyxfOcnR3/nUIpljsuTqLUC9VEJBAMaZ6CfyOPSpozdy/B55VVUln2cFShJ9lvhHpHp6MWfgJmiC+nMFzJz+OnFsiPLx8DS2ELBvA7pPAf0wa6CA4oLiKcrOGNQmP3hSEsLfBhr/8efolUcopQOU9z6lFYdGABpE7+YIH2pXQRQIbwyciJ/TwgLK4rOarZvbJB44SaJrtRLryn/rzX0dvN1hx2STyEhWU44m/fQmHBqQizvx1jLAMEzk1aRX060qMoYMudjiw6YDOip5ehfycLT/1Waw6HLrmZFW52l/oN6bizhVlAdUZa7GNzdZvDcILAJ7o+jHHHoOVQ3Pn5lR/Dwy4NglqISTAOKXMX4P968nMogwVt4YBJsLvaruJOn9tnea8qLKaM8WQDugZmpLkvi5dh56FpLMAWRsP1OjQe4YFm1MMhBjs5lnNsbsHSGFeR253iwdYdB/giFxeacHAIgW0zogFxcr0rp3qN0Y8vu34MJ7hfUHOxdGDqAArow4dTQjajYiY13t2DcsEkURz+6TJFRnsGZHkfpFyQJY5hWIgOkJoSngZ8WdxIRAbgZTiEg6/3UZDFYzOOgdfrtf0hOuRj/9GclspZquhVrkvRsISpaELgIk4RlcpnQHHT5CFVVR7WeLDyZzMIr6gyygnnvZEGmpgkLa4y0ss8eUxKjjZ32OvNBwuqON+GRK7dSeVS0mga1uiy+WyqkeHzV0WW2ekVVuYBBYa6xvMvNYgRmoaGRRAbdxzvOXyKgJ8TqNHQHG7ZjZYbvzr7TNeUd3tLrnTaLP5DYl8/XD7cCZpSbvrsengwd2Fs6cOXhF02uWIRY/CilJjtdo7mjI/w9VRSzCdHaQoHF7OcsykSUENcaqw/bKkSt6vs5Xq4axQr6gHfm8JArOjX7asXhG6QC83JiTOMwen9m5sIo8Df+7+7jePDZGuMhtdxeWwRLLULoNjIA8KyTuFn6HIIrmGOYRJZwX0Yo/jvjHvZaduJMApwug2x9Cgbe3XhZfjAzUd3uLwE7w1cFUwLtQE/g0tBpwnxl0VC4nfcwBUh4OeXTkll+cVNg0MKUQecKRQ6i9v4YNHievJA87n9sf6hUanOKu3gko0sEbN10nfQwjUPgvYusRKWkJ+Z1Bvldf0x4IY1LLSk/eCOhArlIRxX3Ezz97iZcVaaDn7fYi5U1rXcOopHWqFJ8wL34vMEG6TYkYwIET47YqcE+HhbEME9lFKDrxckMAv3NltSwPxM1aQrrdgHHl7uWay/ysmmpI4leSul048QhDAJhTunKlVR2+Q9TrEs+he2Zdwbmt6m1rvGfV3kwS37Q+D/w0Nk8LAdTmWLE8ec5rF0rKlOMnqX9FFYAOsSVKgME2NJ6CID3Bl7Ozwjr2EcIvaL2gUlzi53Cf0hnLn6J4uum+mMGPY5IPqZZ5al2LC5XLQjZYogtiPpWY70YxQ2X1tyKMWLpzl02/s0wk5VEfe40kTOSUxkpl34qeI7SSOyT2ZBTnN379jlDaKwy//ZBZLAnSJ+OmZiytATNNxsyQF75SCx8YVgit0TL7AS1eCNk62ClxuRoVPkRqjCwInlFls9OktzY7bIJ47LHOl0ZjTnKO+oyZiXJFY7JroclD1TuDvTXYiD5ldtGB0du+f4sOHekXm9XOVdgn2C49QNbOEhywI35F1+YozbKAFOoTSAzExXoSadsT23nZqpZpxDdZxqmYEOEkaQLoJ6gy0ijso45pA7juFrZngL1M/h+1ijphnWnIZQgsbZ1D8oVBppTENsurdR8N2wdhzQ2DqOT5oQkGXuhhhcCTULdvdj7+lr5s34RvSuLtgxidjadrJAqg66HV1UVZi7n+/tHKFKdP7I7KBeUDwYgaACEQcLpw5OYnJKywrfAogTUyqd4OKdTiER1EiCL+SAuERtWeRY3vD6WeQxqtYW/ZpFD6od0MKYv1PK6oGf6YYlWawQe/mPvC48BrlOGc1a7twV6FXB9/es6WQ5lO7YwrxLbh+4bhZr7lnNcPGUJDuIBMs0ACmYovTeZSnI31H/jpkIOeg0FEwVeEZu0bnz/zt2Lz+8T6CInA6AEDhUPMzhbe4DhhAG49B+ieWlQoLXpd2Ot9jcQ9c6vAqHKQhgWqSgQpkabnfX/lK20JUbo4FJLk79+1BCyWNdY3HGPaYqh88Z/8y03NPwhj1B6dZpZOCugslCn0qvzHI9lzMJjS1NPiyojPH8GZoNoDlYEHgJ7MPi76cXSHIgitfGKFqcR14gnRpdjjEI5CSPAdDq9JM+doUjqVhYrgFMz515EmRavJ5fgzqReJF2S9A0Emxl3JOYm2DgfSSaQhlh9OcUVu9yCjP0iJiGOjU9gUhkHMOGDfBbbWrr76HibuQwkCDJr40WFEZ58ZEfipOLsMznNjwLXAQIAhwVUu4UQHjpZeXibZfoGrnAOdrxUAIzwM2SbNviga/Y1zKHKBnXXRHBIYF7EmYIjLfHR0dUxjT/HeHz6yYmKZ5Goh1OREPYoPF37OSnx7Cfa5FPLnNgd/X9giPSLfIQ0OXwSxI84y4bTEboS3Q5dh27oGt5zabbndemnX7CMBWF4GafZQU4ETd46vrdIN+iOyhzEIUIWRjdSJcxLnSPfo5lCWmF8FwzC53vITk44w2klpDLksD+3UoPfDu11my+KyaCz6noP4Z8sRzqT2+5OYzP4GSMkSl3rPtMb4CUOfLnVf6kL6WdHuNmdwp8jWz57tXnhOUGYVn6OgItZIb6ffM/vMX0lgLIQtferM849PllFw1dhs+dupNcXTozc9dZKO6Pfo4wLizgQCVwOZdoNtbXVSoYOnqeCS3ETrF4YpLwmQI+AVYATiWyIgO3XNrsD3bE/FM2RD+LaTtes4mn8WCZSxAf9B8gK+5pOM1zxjhD12PERyvP51ietLBlMoa6TJ+L32lhY7TPRVpt7jmUgSE4lH56gfw8fw5XDUZrRk0eBETqSV/wJITAC4eQUWaLdt4Tl24I7uraxdatxZ/nTYMFfb19tetQnF62RmNkD1P43D6ylxgDwym+XVlCiTuC+6VQ3gclt98kpgno08WwsaPLSPCa9wLeyC8T66DypEtxOc+U0426ZjhxyMP496m+oTPhe4jRWDfDPt/Xck1iORcOvmAXPnmMmR4WdD90r328L4oypzhyOnmAYLBQkpKWYAFN1U4ZOHiTQKjthvCS3D3ElvGWnxsGGrvIIBe8ZquO/f2ylytWoLUYYV5fbmCuARtwblb+aWplGmQU2dltP8T+66icS9yNUz4J6/LbOJTGGIsqXqC06R40BRNkHlFBMiwEwFo5TOvalzErNCWYDxLccYXqT2EgAYeuW8LK7RoqGTHWWxS8u55820JpQt3J/HPwMe63ctW2Y2ZRl6YmSgi7493xntdRuUNipNCusMlLF3zdgVBBZW57mSuXQYpLCaaL9RSeo2z+l1BBldGujvxlyktUMocK9JzlfNfD21mOvd0kk4E4JY5GZbxSX0lcp6FgYuOXBRGMFdUVZ/W+jz3B7eS9O8+zsmIamO+77+rgy/BBeI1rnPLDMqcosUAUlxiJFUu03d1MWkVNZtfIL8bBCyx+yTx4yPN0ybAcMNhg9Obzg2HC34FEDoeS5oNJhXuQBolcdlzNf3B38nvQaCTzAs4nRfqnF8jfh99jfDsN4kV3s1qwtpIV0lBCGt7CxNVCMmdxuaZ1136QW6Wf37y6Pfs6fbXtVzkwHGK0wNuNPOr1FFredvMGoEUW90gDTmNl6Ugyga4cuysEyOySMeyofJ2EpqdVmNb2nKzQZejcDp1Ulffje98LDtn8FsSGd0axYvSkfefmQxXDSIoUC5Lu/sX3I+l7jVxtTTtyrFIVNMbW2QVKRo46umIhhwwLt5E1uHHGKLDMuGVCIZ6T/TmMXluM7455h+WudhFUx80HKy26cYoV0rl9bsuJt4DadMkFyBQ5MRbq4SomZsYIo2PX61vI+zGedIyur3BgrqnZOnOaOaA2woU881j8+XlQ8dCWcqiMMyQD00lfIxuFz7Xs5SRdk5ED3BDOE+F21D/rPF16W3TKpS5iu2sRnkOE4BKmZebLHFJB8VsKMQujW+aOl1oFRcsuX0MXapHq0OzqwAOJEm6vd5ZEKY/4ueKafRhiqFVPGpMxpBzcbI6BM1juZGxCLXqEO7KQljyy8HcxOdQrmbNjd0pgHRvx/RT6ec5nul/03PiN5mFWbBAPdOBSvC9RruCHyusDEwV6gs7DM4SBCHp703Sv4ZB1CbGGUuKCJXKCq4PAOI3UR8uPTe9UYZFrNDI1Rdg5c2Cx6MLUeRzuHp6lWqu8HoPhUtxRVDc/UzwcCK7jZ3I/pkOTXXPaIBYdquwTVY8xJbK0/NkF8nK6qA5p71rkU3cpCbwNcSPCeufUGtaIzZziouo88hIuPlpxDXt5VvxkTk7E8WyaMazgghl8tR49letBl8DKaEjxPJzsHCTXwgXECDalbeXwUYuekqFVUptO4IcYXbS47wdvAMm+LE7GXkzGB/o2ioV+uH3wJHIDOt7uY1plLnNjUfAqPMmQ9DkoUG78ljF4fNhwHVYXOyXqF/8sgiseg8nvk5QMvsMox4nP1pPOmwXDLpIEyZtRwgbHbR+OyRw+HiwUg/QwrFQ8nY66sMWvG7jyu+m4XEb0ZylJdBh6B2YAmWTmxAl5vzy4VbiLaG9nyPgH8R+pZrtp98afpctxfOWmT1I2NJFyfpGgDWaY7ki6i7MFBWpJHPtHHp+UrnUKTiIPRPfmSOR9sh1iSQUNEy6dUPVw139LMObf0/2xjSfOuHsMjh7k85TrKSHEO4Ccl23v/Uz3IXXnEo46hdPymiicZtykEsnxDhiC64FpwpqEaMw50rW+4Jhy6+HZgXUhyo8pBT8rnXHKP7MMYVVS7QP2gl+rUomul2mKz4ypJXFtiqz2a/z93GDTPXIPAZ9xX+lDCZl+ecuYmiB+30YpfgohwARvx/vftdtv+eyvb8qXwhLBMSlINSFxgCrhxHQ3oyp8ltmYI1+mmUqzXe574ac8kNyepyLIMR6XJQr/D47v/HKET2ZAJVx6z+RY/g8hij+8ezB0e3gfBre8QBY3jFsK1An72cfoTdExQ+Yyt+l1at1rjGX+PdppsqfHRUzj+fDcXq6hAOFh4QMQR2I63NJQAC7V8CZTE5PKllvJIC043Qg3PcsgTqd0IbHLzc9DlQfO5ZkBIs7JmNqCLuIDQWwA/L3bUZ/Lh9vDvbsydZEoz/0bh62Ix97M4yyQbYZyuwStATPZOazLvMkB4MeHcPzhdbLlJohqDoejcm2xOOKQnuYM3Jxu6g9RHBlJHQsJQtK6Og4BeW/p/1hpjY4rfShZ5IlCi+pnX2fZh4GnvV4jytT8F3LMMUZND8C6sd0qJjwAYK9BRy6gXJwjL8MScg1fTHBePndGYDvHjHv90ZfxR/MBs423oL7wCxy0HKZ5T3yuxRIQuqADTw9HOi8Pt5Ya5P0hXI5QgK3HoDWlNZvGBYD1xfjgn2ybD50Pb+GDYpMZNsVBotcnfpTnV4nWclWXLWg7u1cLtgYcZetGcUTqmd2a8QyHXfhDYkCLa1GmfwrTgNHOb0shx9XlbcFZUID574fBww8M08zo7VtIS5Mczs/jOjMRyEJI7buHJxAJ9+UtVVjDSyRDsjDCHIX31UceOM0NEavmZWdWvCKLlJMWbl+qNyWit/1bXvkwx5JuHxOkLIAxtP9FwfISVGqmyFBQ2Ewf3Z79OdSQwoRLjuqEwD3HoJYRDI7edM00MqiWNGQKf1WNV6AJ/ewC+e7Du7Y9bG19CrkOXEJ9INkwDUN7GeNBsFu6BUuf02N+IX0q3D80NIA6heEnrlkcgoTUQz8BKOdmgsOI+weFCFpMP+ls44OMiiVv6rvUEEehxGY8aSkku0UoQPPQWuxwohU/sdsCG+EmwxaMEX6+OWr6gBHy9HpU8K6dfNJzbNHBQVMXe/dFTEDdn7Vb7fZ8EOly8mJ6ck1d0J9wzEmvPvXYy86u8930znhYu5yWPnppOV+OKnx/CtXD8aF9bB/tcg1rr0Mi42jFc+B6Jt2hKD5FZWEkBxdkS+mibb4GSyBzZ+x8wRTBJJF7MYLt4oDi+3BIIOHycDxGh6Md/5gct/T2K7xU6hWfO2YEPASyX2Jjy42saUIfhdHxckVoH4XWEWrd+f5UcbVQ/RjVsUsTB7iLeYhq+3UI6zEmFvxHWUhp3syhS5gYca4Zo1pRFnQ4PMAGiaWG+8dlDKFvf17+bH97/Vt7fn2WfK/8kKUfBiBI8HLM04WG2jYtse3HVAIS+P6oSgUyue7XdGnwTvurn49WX1jDLbmBzRFea7jkA1t4bkF14pmAefG5+yyeT3GBTeF0R5b7uIq70YXxWYBRC/vw+d92YSsI7Smztyu1U4x+F6qb4g9aMKDpMLZySC7RkfG9+RkUWD57M7n5GTRJcHbT/ETXLp6H0puD2eaizkKWpHm+N11x7TpKVliwjDsHsElgn4L6/L/8J2M9CyP07Om3aRMwTJGRTSjfzy6Q3VPniGgOMpxGRsDtLS/CgrW+WW8B2rPZxUFckjIcJAp4bpwUu28nP3BwLjNbppAr8YFK/m2v7dv+W3s9vjr2UFQV9adEy1GU0yBPXW8qpEqMsY+pZgCDQQnDz+bBVNKaudwsbwDx2VImIdyiQvjYLbbs8i8Z47jg5YUHpkEOStIv3JbB8erHwPu4KGBSFPku1DGy/YcE6SHLbvm92XqmFZUbvGvwCtWQk/PN0oPtXlqR8e8ZtSgSH7eP7dP8yYPFgDEKeEtPvVuEYIm7/ZAD7bXihkfidwyCrcUYSCSD0WqL7mcHsbjiJzDSyNwZi/Y+lj4u4srVeQh6FdMDk4NyTL6SLykMMoU5AaM7RaxwMn6Juc23UMTMq1xL1B6GpuW1MTYgzY+9D7Mosfwq7LAWMRTh9z2kpvd3bXbFCv+Yk+y1GEK9Y+FCoYOhQwt/UbruL+uX9nn63H6//K53ogfqLjh2ldxY23E13mkCq1lLarnBw5liil52l4tSpFL1BR7vRJXjI9egyM8SxsE36aZufZhEjF/a8y62wzw/KMXQrNOh4qEK5k+h4dqA36oY66/3TbrYI3xVSPWkZObouu7eUgl1LE8Wgp6UcoHiemkykymWLvowj8gIFJkMbKSTnuS2OalLFtkhdefIWzPYzgVV6r9rGayvA+Ye5aaVLBfTGCmeab/moZT3kIUWiTGcWyhAu9VtujaFP7tA+iEDCk/RYXB6crPWZpaHy0I49WEwipktp10al5bJaJm76gzEaXROLShE2jSo5cakrSb+8W/tb2a7mJ64j9FYIX5x3zCOyAsloM/mcDc4xjAu1dKmMo/VbzOGYvBZrtNQAkiYo6uCxMvroNAy6qeLsp0OW3kOgtYHDpdJgOIoLZQluhOlk4vJdGkiLBxAoaPrhRaR8QV2nQnwwyO1+C87v79cQUb5NB62qEOOxWwVRyU20WtYYdX2TnIz4DjSudS52glmbo0hSS3JuhgdYMxLJwVGOuWmMN1vpFGlIsLJYA5QvriMpRd2cbWLBZiLK+JXGasITesST6ZYgYGh4Z1i3GX7DL5rdOtyuWeGqGmmO1lW6WN0box53k8Ztub7yLgNC9E1Ola5r0mzMc1we2hP65Ovw7ud8xT5aznKUPwglENsh9ifLt61dPSzyW4TfJbCbSQBTk9r4JTKKZPfy/XxHkbZQU75LTJe7rI56EsU4GJVTPG/uW5cf1Iay6LOZQjb3aK1UESGzgLr5LYNftaVIe1WfDu1D9MHu2au5ffxuwWLEbj4yxVZyz2D+Ynu52D9wFXLm4nEK9LYFrgkz5Ly4XQbr25T6SYiB4o5j0stA3dXf64LquR//hjnUewTHZFS3lqYuM3DD8+tQojdLtgKJDhy3wzH+G9tDLPrDA+TwpQLMYqkEBU6fOhHGRUhBvyzC6Q61ylUEMqbMH5gK9eFRVf5xKlKgF7CrI9nYS5MlODBiaSLu/wQ9PMaeIX/PbdZ/Cz4e/LpdrGYcOxJVx+6sPJwtOxkHoadYQYrlapEHDJxCR4OKSrbGz5pa8/h3yevMYuWRR3qCWNg4mV+EVjOA4gCo1vuSWr1oYudEDyVBF2LG+MEY/oPRgb3oPsxTkguYtlaSfNIDIbCU8a4FonbYGQCnaYO7xhysNWGWsVnlUmKd4cbCnbGCngwoCEndCzJzi4WUnKnXwTRDeBlyxDqBnAyinluOB3dgCqSyG5hPMaBYrfDBhs37nTu5mcCx2hkgB1dLn1qkWHjyG9vmbfAseoCy9+yCOHSPIZdHD5Ddtpo3q+3wOumoN1UBnZhzvzZokiVbt/P+IeNuXpqzGbpzghEyy7ev4dFGZ0K+nzwzO0UcbFJ6aEQHC5BXRITxoAEahVc2FwK1aHDQSQkQDwAscdMKDiTk/kElHOLEbuywSlS8vfaOahNmTgo3QV4KRcS9aVj//rhnqLp5r0LrJn3wc914ZmphTIS1uDtcs35c98u32SXwFPmWuvidQiY4MfuTTZAhrTZvXGvscjkHt/FM1sLQZqQ8kf1fef9zjU234iFGd4HfC1rxD9kYiNcZBQ5xfeUmQLroXxTubeR0rL/mJvFkSnqbg7CnxlDv63o42cXSCMil8nTvOJDKU4sHCxq5E6X3niMnAqZ8tnxFN9M4wQKE4sWNmCZTiZgm+OfVX4Oj8R3u3eRFzOGcQAnh2A/+k0KUW47y8TC8TGzWhxlIaDuc6mzpe448TBJpzyA3BS5hGGUd9tGauEcGlW1pGnqWyRdixW8utzM85tfStbyhuCXD/E+iqEjM7JC7KyGoPyYD0z3m5Gb3GDQVe4BSz8m5GXgkVw5pG636HD4cyzI2BoD1PMwlO2crwdNa0IX6tlRP3CdtrBf4+CrnBMKMJvbokNpOcVrxnmFIkm6IFtNukG8CA85PjNi5jgoZrmPDqE6Aq3P1pQJQlfC4KEFF9AxCfw4aTVK3xxHYuHmppiRP7OiNcnITGtzhBhTgQqui45P3FdeZzDRfef1tCPvIjFQowocsudrjLJpKKwDPNSy+RS0JHKjx3Pkm1PwCWrbTkIbelnCDQVvhBWx7L0mTlAJxUhCT7OIUrJgKqJpa2LqLr1w4WcxBJ+P7p4UT3C5ObX03VXl1/f994ABdnvvEa6Bmmkkqshnu2OICmBGpCExzy3TGP9b+lbm/ERwZRojZzY81wy37e/H7+3ry9f2/fm7G26weN4fnTgsDRsfRvPE9it5UhoU3gC5JwAjlhrY5/OIByjOSN0QjAqePSIZ6O6SHM4CSEocyyY+uwxU48CjczR4DUd9dgWF5Sff1CgTNubDJB0sHsBsxpj8MLdITfdPL5Cld6azc8u4zkE3SB2m2AOjZZpdlsGpjHk0xDneOoKwSAH8XkMlonVWfwsD3lQC0JGx1dXVZdz736VqQOFAo7msIawHxCdOk5uGBMPdLoDlykdJqsN9wwrbAusyfnZbg3jcvYrl+LBxIgHQZ7E18Cst9t22MlIs/xncd1zPrGK/A84vaeDphUsDA7qxWra4lBjiJmEMkxBPwc/Q+BoHLQQY04IRAS8cDnI1eYglLS8B8PMeUBtxY4jbZLKfUERujz3t0dq2xe0yXz6EtyW6ltvq9ZHH1w6xreezygVV5XtTzFUs8TVH11ShTNU1+HnTYTC23d5cd4qaIt0HB5gcmXytsAfWsGgrCATNsdgrnwOfFdegujqKPEsiuhb4eShfgWzgw6LJzjRNimId4tB0OBQE7be0v8MkGBx6DTI470unpSFktBXV4GdJlAP3xXCKnw8JH4J/LjK858CT4evhKcAXh1OFym0Xu0GulaTp9parrQXcJdL8dDVKXI573O672wf9KIPV6trZHU1BaeE6yqjo5mgQ6O7A1NNIRQPf3AHIZaSL694O2fPp3C5PF5d3K6wReKPnsDmrGIYqTk4v3B/5PAhBpXN+eXuaNpl8Y68HNLO0ICynf6EK4Lq0FbQJwaIwo20rArlyuOt133FJIkNYliVf1jEeRRDLItR8aMiTNWL8CYyIn10gp4eY5Tn5uNHM+4C8isNGYgR+IGwpK20ssUW31UMWyPyRhe9VaL00jW4Wx6swJ04Lolv5pTwRVw4wjbUTq6Hz+b599wNnO6gOHAI6JpprYnBcGGSPKUmSlnCLREY+TDZvdgkQxemCkgTriMPDDXaIumMfRG8L6vJqC1/vR0UBdIZuDjszVEQ50noK8lnltk5tLhQbjASwZKLbYQS9hq65Ap+KGC3xuPuBiA0WBDk3pVcsYsDdzODevyjW1/39B3Nhc3JQ95AwmUYSjlTAAImFeaJjQwZ5Oe3axPxSi2zBgc6U2TsVb2AcKw/bLTT1bs8zyL0kZMX7FNyHyzmGaon3ySH4qft0t2dDbsf3pYuV8NsnXYVONmMVHKnXGAUpJGK7qZG+41p4BbTL3SiWhxHcUEghHb3lzwE5pMmItCzG6zJaZsuaHZEQRHIt/Sc4dxYAyNocDHb68IPpKBNK4Pua173FAo/3Di6IIQqfhWFbuVCS78soCuMgN9AKInhbLKWIEMmIBx1zbku7XGLr7VSf5rmMpozj4nMc5MtbbETBGOK+88Wi7r2/71Qn4aqkEgUYY9pa/xo0KZU8CeXoqAQUCRQCbszzkgVQ5U+6XHnIZZ66VKD19Q5BSLtJuWRJbLmeQhtkNuGc3lKzzeutWAXikVkCpm1dmXf42aeLlzDULScBns8hl48ZoMdn99ML5Ld33+SAkTyo4JtNFR8gnSExjlDTxtjIuoqHn5mbKqkwbFPp6uA9ZbRBsdx1G8m8bT7ouqE8hfmC3nAeYrRjA8YWGWum5SypllGI0VsHbcjSSdVx6QC2lMYEjC7Qj5A1VgIhN6x0miHcl+9xpjhhX0OGVVZZ4EQlowTfMFaCkTNPv6Ko2GEjOcsCIuVDTDu03HFCBE/RzT1phNfH9n5670afi857YyngTUWBSAmbOmGUE33K7+Cx8UB0Z4sjxgBgVIUzunVPfXLlUlPQzDPZjrHE6J8iLRIsa0uGwHKI2FLGvYQIjN3tn0OWOWZx5Rrx+vgiCXG+hnV/Gjfo8pK5QCZUciANZylCdE5cx8qQRhfOQoMb2441DTLu0wlLo9Tfix2mU4/3VC6JjDRgqgD3TR6deCvXbEv5IeMg43T6TdIVmo2zsmEIvF1JKBZl6eBdEE7F4FZuiwuqtPJXK92Sr7gEwZwJxGIzbo6vP6ZV+sBvuXG9hlGzyZ8s/cZYgJYrE/g4fqoWLxqIaXCcvBsqlxNREumlx/gQxuGoATMejFDFKHTL7P1Fw8CEYbxEUnrA+5Qd7vfS8tTaY0JyOrf5IZ25afBReNX1yOVkbZx9zUxrqG/weOTzpyDjg0q3SzAZfyRjPIRB1uubwQefZ3KYXfokPGJnCgGf+zj3GPx7rx/kdpQ80xrLwGw2nAwpknTaLOD+EUTxP49/WiClsSDdxH2DTf+Um1x0z8OTo4fQxPBG3nVzu4uR2yLBiA1ZmfY6t1ieIoy9UHLI2yaWIfE+W/hLJqXRieToVNu98lisONbyH5RQTEeIZRPYG9I/AHKcTlj989C2S+BIY8r6yvg2H1TGLjAXU/RQrBzTpmy/yvP05jx3bmZ1fcHbEYyRU5lFzi1GD8cviNx4C7aM9+Szo1jN4Vriz1sCR4J24wZ3/xxYzhCKj1pQ0PHZMexDPqWp6i48NxnFXVRxUgI35ShUAUk4jPN66dYgcDPG0n2ak8I4xqYVytH57WbiBn9+eA654WkO7CxpKBWXUFtZGAz37GThruzoGaHozDOiQXcVQPqUi1amiEWCvPQhxvrCbmtEEzFJKIDv4SKJh3HLe24OsjkPTuFU94MrYxeYTsrEV8/BlBJSWIrXR9ej/BXSeTuEVA78k4x03jodSaUB0kmTtpnaYz/X5cHvq6Hz/iatysYC1RYSTWgpDC2MlaUpZjoYklIHpJCTA8WxlmEqScDsaBbSCkxJZ8JTKrwy84jnCG6t4353MLjKpgCmAfhrGXzwZwn1SrsyBSD9zUgLR34SC8niOc0RZAYrBdEHUFLm+egKlE46sgHoNIHmeVkUOrLj3Sym8oqtNvcz+4iMWi4sWt7kPmAeJjfgICGbtoV4YI7DjOJsGij+Aijv0mjYgyQJ4SY+cp+l8fA/JPYVX0WpGJi6ZlB5ufVqTJqGlBKFaYMHeD5JqUhTWN6MzjYV3bglKTiNENwuA1PdMvMleV8FBmtxprAgsE5OKtvr3J5WGy+Qi0Qtb1xuPH9jEda9jX12S0nArUWARSLJ1UZ4gh9lcmHhKvxMRzyA/uUanSn4VwZYiSFWyDrGEVNu6BmZgCN4iFKdYWfLGJvxs+V0U9SS6kTLA69UI3SP5jgv57tpgNvuXbgY8XlJrWHTCY8Oisc+8LJKr5MfSXObpzWfoUH0LNWwnLrGiG1oUnfzpqdo8YCBV3lAddPdSUlzAJRDt9yU93EQuu1Nnqcqi1RfWRAB7ZPAr11WZmaHsjC6s7qHanFRqYgWSKzYcPUZYtlmt5m0HfExJhMMLLoYr+2SM6ZD+WMfUQp6fi7Qd1/b79vvch65FhSXd907u2w+e7BCFSRZqB3TmYzgdtI9jrEsASKgIGkcQQd+usWmGow+c6Mr6kMaGfdbHxi6VnvEu4Kxb7fAdenaRF4yGI0mAE9S6EP5OXgowguFR4v0l3t2y4TBW7AtuC7fh/CglCWBOUyOvRZdlo8sWzK6YkP19pBCAbDljIG9U9zgONJE4B7Fc52HVVG/FITsguLj8w1NON3GXMqySDsaAh4HKVMpsb+8l0PGPgyLz7VuVBidrOFXUDEZPovtGr6rOP/wcxPT9r5L16yCKu4WjD+zQN6+heJC6RW5K2CFmWWtVA69ard/ww+6a1jfp3mpnQfyKW5YOHsyPOKG4UKJsfAFu/+8GNBT+J8OO+m0TaGrDZcRqemS7Y0ETgSumcsOizl+h2BqCfQqJ6sWO6kY4hmI8okkgG1PQcwgKQ+BVKdotss43D3enUTg3k2XqY3ntLyiE8IfkO33mjc9yY/w5dmQH0IJUzemeBjLr+41RucMD3O8yk5WlxdoMtCJUtxvVOkuHFC0nVpzWYarMp83Dj9zPPyVcyLlgc8aricMAxZDuzlC03bxeZc2mBu+tLuSh2+D4zxYr0uzIaSVdODmna8n4YHKOedg4KHiXjBylY6dz+o6ORrKI12iSElQBsNd3opOmdaWgqecaVRe7fbtcXkMOhQE8fGs2koFFd1Wv7eLLcK9BwojGvhwi2UfBQGjCzsNvsCuW6hCUKVQIHn4scuj2GGc7CSQI6GQBJnPbIRTDcUzAPPCwps/w+4ro4tlLaS+uoK0asSHusIExj2uOiVxbjtvDrXxTbBQLvYUX/Nf1qCFlQGFLIU+JhA+A65Jdec8C05D6S6lMxacUjr+SpNkGcIzMAZTwHsD6k7yRz3A5+WuElP+m5PhPWmy+KY0C6kau2eopwu+JPHj1KZTYrjU1ksqZMAyEXwkZZEFolp9PvNcFPLMaZSbRHBFLAgW9nHwl7uQozg8SQxsaNBy//FTC2T3NZ15u51GDO/aO9f+3Kh+jY+OB5qAQi6lGDLKVuFJ/Ws9WCXWt6qPceP7lU7bjmG07wTtkBRIscCnbgl2PP9bU4jlMXiE6aBco0e5flAg6ACKVF7uzBaoHHF4jSx9vt++38nZHgR9uABJjF2DCM/3pjB7sZBR4hF8Cbihtt2FC1nc4Pz1u+gskT6qeQzspZgBPLgaBeQWXVKz0SZhYGChXWL81rG8i5G/xqNiFLhgSMKscqs0Eqgt7F0BwXQCuRajCpYG++8qMcpZ3QIJ86DcUPZp0EGBShmiuGO6IHE9+Ezo3H/pfvHe4MHhmugOlIsR85HBKbuk2CBDA8jHko3FFsTf8hfct+C+MnrRreSigcIDjIONnfgS9xLLWQppPfDl2clyD1PddAYvfbOjOBzRxDG99w6hl5cnmcIHcfCUydmZZKIhixnUYiz7TJHEyxIzloRlJEL3SxiMQCHrw6Gda6xsLvXVpeaqpkO/SSJAtrR54xyn00x7P3mRqJ1yYcRiy3tsi6iSH1kVsjJYCi0Xdf6VFujBiiIJ7Xdu3Gv7a/xFFkyWUAOGL0mrsugxEeJYjoz0Gk0BcE2R350g6d4ojnT82cWWBLB4ki7AUiYJx7kmGz8XbAVotBBItDcNOruDw3PQ22ra0E4QEULGamjMC/eZ+5vGi8UoXTSHQRLPKzv7pxfI3XM4JlOsGDcw9vw4f2zv1/deKPACLyiYU8Y2MlIL4M5R+cUG0jTinkiWF8ZNIjQL2nXA732K3JGv9blAwcIrbZ8qUMutdo6AJubhAJOjJV8UOQokXZ8WTsmHK1dnQeGM59Q+jY5sWO6RDmWZ5iGRN5RyqcuuHV4OdwfmWiopIcvNsYoWHu7id2bGjp1FShX5JR+xf43lxThrt1ZegdiSueWewniBzkhcjKM1KRue5vMbg6CwTcnnmddDp1cyO/5qdYwU5699ROyKoe5muWuYqPpAQM85TO1yuFhMxZDy55Z6oqgZjqvj0a5L6kXabvkZsgVNd21t2Q6j6izlfEt0dv4d2BAZlOUDt+RBlo70dmr9Q3gfDoe7Q7S0mBZb73smdjpKozQp+knxWWsR5/YXLDSzu+Wk0okhDsAWrdvuwVMFk/Cbh1pO4/UmNUfd/vQWRAYubOYMi6GKP4Dzl4bQdpBorRnPuWZAK3mY3ZMd88+o9UcbzzMF9JLRJoUzK7RgoVaQCVNB6rthncBw4JkoT0nH2JS11sHugZTLEcUNHChDUHCcPHjdiVXCVrherm14GWwOHGNxYT+8xQ1LV0uLtXgcEj6awpNSb0g+lwwz89qBWadYgYNQjuwSESndt67tvoVpRk0b5SjuwiaNWrxG4OMEl6U5y49+DcV7/ekFUukgo+4+KBH4JL6/vdcsQbwP8Tw/nEjFsnFak7PEKj/Z7uXKUssDCwghUsvB70lXqE3RPkBh/mmEAUoYDo4MzSrsszh7jv2YEZC+l2qQe35He/B1+mAvQ1j+J0VEEjpOMvn9HcNzG+hWDbJv6plL64msDbfl8WV8w+lYPB2CIO2IMKerNl0Pixms9MHb+nBYqSWTBHyyqrvXOHn3251CUtk5Ft+5b+s5OmU13bw/jF4h1hIhmzZW/rmEDSpkXk0rHRr4C6lwYFcUPhx8bq/t6/LV2F7pPLi+9If2bv8u7g4euEMEmlHEtdTiWmb4USmYigICqM54XFSZwlUtBhlH2z/2bXsKk4bi1TreY5QKhjcGH9HYCLS88G1xl8HsIg89oIbCmyQgr/voVsAokfwx4qegQVw19btlL0cmklk3APgQuMcgcFfn6NIm7bIg3zuqEkyVTvnyWdFOr+cYgzkEmH7SAkzzihbYGJ+J3MAkK1uAxiwWucWubbtLJ8ZQFFcljwXmqE11PgN3LuE6eZ/AVbSTYhmKIUcXPFuL0HCNQyEFFOU1ADXLQ5dHMvNjJKzvgvh/xcBkDmJ9hWgJ5cDpnAIukWCfaYJlN1ccVIs5lDC6QWoSS/Xb5sLVTBqKL1EYh0zZXDO4juCvlG0ai3LbWve9i9+Xzoml2A/yVXOEr/heaWdMUAglmLSS9SIN7ZI16mcXSIm4CUjfpVXz2wNc6YVgVUq8xkPY9GesqVriJOTSffg906JeDGs6tXfXd+JYvCqzdPspRj9YDgj0eQigKnDRO1al6fNHchsn/m0X1J58IN04plOIJ3HLnw9Iz6g+htmtN30f6gsxyl1cJEnVkJCXLZxE0qiW7Gk6BzFJAGMMRoG9TleLpIulNCrgBimwXosn908BwHMTV4zC3dSTzSFdXm4V7agx683MZU5ub6ZlCsup9Y1jWNtnbayguOyzO2zP4SyEmSqbThqHLrS2FMbn27NFymXXtoq5fRo+BVa5SyVQ5nsXBFHSNmGRfPA5HMDawOd4WCRFL5EDbqZOnvDGw54yae/aPEh0wmkR06v2dw01SMkV7UASAyxWhOYlKcVU74z2+bwFWfzcOwbjdi4+OjwJcXDgcgCQHmhmOPG8iT27yPpBkKCPYHdrX9evYl00BKW7r4mmFhyleHK0A0ZA0UE6J88E+TanYCJUdyVhmrCpHP2EK7i+wzXiHtJ0o2zQqkOH0VBRE5p0pO6/3HnccBNlDK69ezUrSl/Odr0rbAr7rOnJXKQhZa9p6KD7VhdCCgp4LQuLmlcGI3VY+CxmgJwdPQtGPgckr3oCBqXNvHpwwyX2BnIv58SZEyqTFA9cRLFL023ZD3mf6wpWLubpjVASVKdPTEDW+NnV+epwRXzyefEe+ekFUldttteMcowwnEQZwehygtOOjiINB+QYEh2wy9GTsY9ug/Y585rL7VmDTiJFbwH0Gwd7iIyYL9sXC6Vmsv1DLDYYp3HlTg12seOl9dyakrMyzaTr+TZ8u49/mmokRaO2iFrA424MQI6pLYUBUnVeHD/gNIPQVIKcl/Vm5/q4exQTA/9gxKBI2JHmCO0FJZwqie/cvNxw3MAFivPvpbS0SJZTCsl4ft3EWYxFoFCwIKDwAnIvac6REr+i1DjS0JWmlBHPTQ1HeR1gQqnMgWBP58gygM9Zo1W4gUjo0hm7dOpeTx5giL0sv8CoGIHQ5HKKZ+cgpjoE9sYvCvD35bsjLtdas9h0tallipJAllJlqc9yAAVJOkTZvcOlzEPWMTAXB6WdV0o5HQT4l5fFTpvIBj4/DmzoNtzpFRHMFMSCBgy98EJ1yukOX5rzIqXTSXHf832Ms2XLC0WtzXH/w0wYgi0A5sfn+XJ5kcRNMXAieIrtNEa3jKMVb2GRXHL8gxWwTne3p/KJpLDYUKDESgs6ipkHKay4zJc3D31+EE7ic+NzL5ij/C893LjOxDIPkWnNSE4xxdBCSe9uF2qiLhYmpRJy1Oe5h+KDFJYlIawASO27wH9LjlsmNtKl0rrORSN7hDXyvC2eqZ122uR5gbqG21AXbuoeJtzvTGanDOxKU5VqLspNyvoEn5P7hc489fN3/JNCfMNDr/38AvnP2z8HZ6/tLVTlMi0hmKoNTgiPKrEOPjiAYjAQbyVUGtniF4B+f4PbDxcA70RA6LkJgn/bfXO8Y7zR6gkJHDy35RIOLAjpS30DCfViFQv7r5RcKfEaLi6SBOMB58nbzrxjOxvGhH2T5+UJndZfFlPGG0anVJPo8owSA95uxiQocSSknu6O07N7G6OLyV/aZGhBVYAp7ujNZfwjKQT/4ia6buaBYGYq8ZWbMknrpeeWppE0kdqmli5WzPAQJh/lLq5pAxtOOI3zc/syf7GImaGcEbrVYRcEIo4M9tWSv5cEf5dmOKGTuZycR3mXLFzA2rrZ7tQw+v7FG5z/zrbWcKkuHZBSaVIehcI325PXSpxxd7jTwqpbMTv70MXoyoQ1hdu2Mr3LYnfv/ZHJghKh287CoaflKWI4pIqsIQHU2isXPbpM4Wot6vJD9hFLOpyUgDLQtfed34dCLW8Tcjn51NNLe748t9trqJp2p2gsuFbGBjOxJBZY1KYaOfnsyifTe7rCxXK8djELpQ2KGUUkM9bdGCOnW8eAD1jqJSSgiAB/RbozDCMI+Rof5SlCFuceAV/2IKUoMdVhlLxLueAY2LaCDehfHFqQ5hMOKOXN/9PenyxZlh3peuDazenMvI9AAnmzLqVIPs19BorUw5FzTjmrZ+C0JpzUTWYmgGjc3cxOs7uS71PVYw5KpUhSxDG6bgaXAAIRZufss7cu1V//ZtqmwMSzyPHzWNJJ8E6FjNvwZYvXjxadgxM2zBLsAKEfPGD7IIWXTwK/i+fNZydNdeuPAXZ9fI7yjdfODrXgoPJtLb6oC+LvXSD/x/l/jHZ12uy0MKnwwqFgALcg33jpLVJlbMpGj4WOS4m0IbpzDhPvKjstFwTpeFOSNkYvvQ2TzO3PgcJyWX0IDAxLDlS5gxs5yQVDSrcFfQbtK0RoQq3ka5LJgZ44YQJ9KcdIXaMYcxNbcJhGx+BPlrZcKRmkYEjCGTjkH7ooSOrwvSC0p9GAFmSZSWxI/DqH5I0uFC7g0HuNYAI4duViwVS+y9UOQydoHujsviqcqLo5i2feYBpVwBhgeXFYIuOGbgAOGvjVFrif+Bd8wXX12vEa3nfvXb6phV77UBsRgUCkBCB6koMdr+m6uRZofHHPBicj6CmXXOJ67VlxAeTk+TE6ExkEuHbTIZJP0w7+7jIxgGDN/6Y4sihiApHrh1wwDTgcU8s4eXvlmvJHrm2OY5pMoO7iEN/vjAzB9BlvU52aaqmV+Ke4KQsnugxQDqaH7FrvdDVkmnO8brKhdZRJwrWuO9fn9vX6NVzyb6nJZyFCYaETpJNhGuFt0I3lCF1Z1hLZsYnbBdkcUwrH5jzAPZR5raiq0kS4TCcskhmxK/5OkFd/knXCNKGL/rD3f1NEhRDApnchvvDanZPUD+dxCB/LMh7mPcgAqPEYmSedMGF32WwIS9HhopzpL/flo0UfkwkwRaA1ujmI94hOUJxdI2jMLTObcvD5VIspBd5N3vcu+Mp9PbOupKEBdbCIY0cwhVBAJ3WkvDl2O+VAAWp/hwL539/++3ssqo7ikDgZqZLPxOkgtgfdAPzoFtm+vGGKkjzCbzwfbadTVynoCt2lP0e7Tq4N7tKpcS7DV1PWLjc3x+II0+u2TS4f4eeM/4j5k7wrJoRmmaK7u0XHk04/FHt5l0ReYgoAWL5lBOsYfEUeajflW3j8OT6nflQDUOgudIhJxnb0YmPPDcDNy4eWWGgZ2vLBkcNjsNkuDBoU1iexuUxcLWDYZDFyotJA+A/2lmoOw76goHA4LGP8/pRCSvomgY7YTBL8uJ+6myOvODJhVbfooHjQoef81H6SV8cDyY1GAJm2UxTIYbWbK75cEevvHWxaytnBkt/Th1RPj8P9s6+rsnLsutgNIC/sH+9mAtJkIPmjBDpGQJx0E7dmkZZXKY58lds676UiZmssd4LA1myYwhHo1LX+Te+f7jHMfT3Q08i3sDyvN0FQ6Y1YmTf8LA5a7+XUcUsRggmBxp+0wfVs5whdjM+WYid0wJIBSso51CG6P133shP4+0BC/LOapnRnCx3XyDyVMReHLOGTF6iqCshr2oWfJIcxUQnDK3GeglKZ3TBPmFL4e0YEd4/ecxS7WiL6nEFXo6NlBAXfPXR+FrASOMBNJZ0uHgA8C5oJQ88Z09EI8UF6iZa1n10msci4e0HPSXqfzVK6UymkmF5VWyXRLf9VvlSDYSKDXRkqHazLUM5xP/JnybGfbzrz8K0Ovu8+rNZoFoDBpO597wL5p+ufHFtoyanqukynWaar+dzyGndK2tsaeAg3oa10OnJ7oXiBfXYz4FPp/abfHXy7QziLsHHlwy3skgfa8KCXLgiliPuTXO2/V7nHGa/AB6aVEiM0J8ySF/u6us0CI9I7LgXx6KsZjzD7LGypJH5uyLbgylXOdenCGSXqIZKMjBaYxc6Sbi4QpykqLcHj7RpZO+s1RlryfeZj+GwSsDSFMbGFkoJAMUyXHCkphHi1oNzUDcKI7BKDgpJsAcYsCdXr/n7D1qaXkZSlA+8LQ5Cfdj+1D8OHWLgBlrdrZIEAR+SNSYF8ODx4o90jYlFVIBWDRjHN95Q55ZaEXw252U7DkMKOeN8+dPg07oNyVPiWW9XjKh5s95dZzXZgYMzpEmV4GcsBUu74/8kh4o7OYuq17GJ7z0OCKkOp6D4OznskMVNX3iPSlzjkOczTJkvHqeEqls3vpCurEDO+xIv5k8uEepgrBlZn9/Og8QNjLdMXeDudJYWG+4B7/14gWdi1iLHw9+DahOs2appji0ya21HtfuXsyPfM/GzG5fI15e9xDwOLFftAd6fc/joFAI9k/KuY/C2Mfffz3pA8YhqYslCLTefJCY4llPnxqaMudVg5vLsYTT4lzRSFmZ/rwUqXi+/mGioqmiknzy0P/VpoQr0kEgWaIJneHDgV0Nal58I+C3xi8cpeYbFgB4j6jiA+gteOQeAvCPC7F0gkVy5BqD+YveKW0sdDzgkouz0VGBQEv3M0ECj+NksmXT4qewP7KW4Kug4JqTQwx8U3L94JhoQ+9Lpv42V01e/WvDor8D8kS3RX/AczDLInsKaiuyHTBOwIAjlg8HnzQ6ZLowio6Ml4TYBjigjdr2A3G02wqkpaS4oFX2aWLBknCW2IIsSHyMmMzrQLUjkberunzOUpCOAOekPRmcIWSu4faYEIl9KNqLSsRe2AN8jBIiUlRyslamh4x/z5SP9K1YJiJknodutzOD1z4PDaPnQf2oflg4aoeuntnmI0gvCfVmsUR6zW6OyUEWZOjh3CIQjM96UUr5mPmEXMbu+4KPm+27tMKTMHEiy5TnY86dxdC4XysfRaQrvhvdwOcu/AGYURxkl9c9Gi9K/cBQxkd1u53CiCgF+YRDLgvnKVi9TvoUfxJimSkZ3lCCYNUGaSJsU1d/s/vJh+KUaKEAB5Xi5SKHi8LilPSD4pvsnZJTriw/rB+AdJ7sMsxu72mvE6DZINS4M6tYbxBp+D6ikOEq71EGKCyjjSl7Tfh5SSkK7hxT8Wr6RaWfynxDPTjLgO+qjycT9zjcSB2xudlkwZXcK9HFqPeuoUfojxZ7QvsBvPr3AV3/BRk0tcBe3ODy6TXYrwdS+3ke7Vvw9t67jXU0CIaxmCbnQ7hzMRnEa08NT3jLXVPg9TDHTgHGrnaKaUWEKXA6LCxg62S5r9fvcCyU1tfgrjC1QbMpT7yFBGarc+r5Egtwam5E0L909ktf1tgcyRoagLxeDnq3AJ/nCRqf5cJE5cUhQhaFeSoDfhYQ7uIMJ58KLcoLlZzA17JTC66eSmxyaKbrh/thDwXdSJIpCXQ3iFzdfiwkJQAn/pofFtMUHCBSbGQ5nB5WXHL7UpO20+MAqwWB4neGIqutLQXfNcMTbN0QWZcscpOoWhrrZz84vdHR+4EqtTJ8ZWIWXCEdPtTrpV8pduNhSIUufQRX7cPoo7ipfCP4UEjYM18r3zEg8/y4bdzmWXXUZSb8rlu9RPxSGtQDXxNPipbO2XUVyaomyQVaqC/EzINlnSzBbuIPk3hINRNJCppYchnS8LLItc4mTlDq8Shm/MSxg56SzXvbECuH0DzViMKWLdq6Kl8mQsGKhMgGCQ5U2RX82DDE+Sz1iaE+FeyYqw6HOvICCBQsWghIPULoLLasp5279tP/U/tY+7j+3x8GhnwzVWX09nze9JnX4RwO3qwJZZDrJpZ1nBFhuruG3vz/G5mI53ulfFmxYhXWVZSkZlA6WhhxttDtyaLFK5wvXiXvi4fjS6ARyUA0pe8BKLIeWqqLMYrznQ0qqsvDlLd10sDfcPFOWMAbFD536/dh54/jlHLC4UMKlzfSznvG9uY4QAYkxBQeS5LzUecBOTFe5S+3AOE3tdI/2RAk2jVXER5dH63Qtkeb5J3+kuFsfP7bNYCw9R+5w6SrCk4z7W/ilYF/xmg1UFjO88HTUtZVylNYdMnAL0MnpQLjgf2/vL+/bm+Y0jtjnE+4wXGM92smXs6siUXWQ5EpcCQ7+/tKDngTeUvGzucRTiNWf4lBQafkYuYYqeIN+Oa7G98rbKdIMbTswPFcyO0p5mF3SfFD2IuVCauLm7x9Boc1awSaUQloFpOg1V8a3toSDzFGNZLSPsDA9R2O08oDhMi87vRVQvo1XhEcLot+WuFQcGMWsYVQo0Hq7HcYo4CDaufbp0QxFKDS4dVY2k3HhmmoCF4qbSj7GESFUV2Shlh1USt3I3v+t6MU8G00p/T93GCaWfQyvug0Kn3oJadTdoTuux4t3xc9icm+2Nj+YwhEhgedsOL1HspJwc04eU+zk739qgil2DbdJ9TkmqpuPgSaGxHyK5sLTFdigYXaRKh9erw9IhonT1mzzs2rv9u/b+8N6/4sotvo6BM2ZDU0AOihLg6iZRWj38luyItFzj/uD6f+4+R47SrpNqxrU16G57uS/VuMYcTuXXKUYcWcD3WGTTDCFTA0N0yRlFsLE+hu0gWTWFKePGvsupIm3H3ApDOoHzuF7D0IbpAlw/D0hTGLmmOGqlLroEIjzLZtvjBl95NHSIU06CXaqe6PRvsVDzIEzJsiYufDQ44KdZjkwLtvDgsxjlHAILdUMPHzLTDr9rgaQQcvG5+biJcUSGhFrRpI4lJAFSFGl90e8eU2zu4RAPQmWk6J24hAUVN56jCvrfl97NNfiVN0DrbPM/XD+0d8/vBLrdBENC33JMn6NQ8XvFOjNfxu4kTwvljOl5VwFaKgf4zuVRnXwWObZ2OLccWxCQIZ9PSXXITfxdUYHWdjuHHK4L3qeZ18nh04Uo+YSl0S6b+NKG28HmGFxxt/LbiIvlwWAxdIuNpdnA6dIuvQGsDaJ1btoZSX6ffm9fli9BOOe9tLC5lz9KZ5FkYj07KRApoSsJqDcb9BEeDpyzl5tu1WzgdXUH+0SSuBx9mNQFwxDABg+ImdeWOcfelGltpz8oMsAMKvNwWiLFkPsLyIP/zj2iPyMvBxut1FJLLRpj4622Hb12n7jnHBt6fgZjbvF2Hbdup7hPAfMvmfedRsGS88H4mB543UswIOTYppN3GdmanEiGSnbQHhwVPZAej1qLgdc+PEQXdRzt7mFK1ELLfw8O5z7uA4qxE8YUTBB5wbhJDYegB3GA54Zd6ehyab/Nv/n7WHS58c37kHtHChJa/jZ6fSlEEPb5Z/idTDia/Q6BW7rE6A8RcDbF+D6hgqERYEeAfRz4euYUlUGN/q8ZZ6JxM5aIcI0pmhwCLGO6V5pZ5W0LByW1ShOXKWwOKbrV2QvpgZOmv4LBeVDNvlHoiWUSp4tghYUTCxwahX0f01L7JmMK3TYeoOwtvneB/OvwV08oMni/9GHtT5HShw4Q9piz/u7Y9o8hJ1sfIy5SbCnHRXuixOuKb+jYSVt9PYgvanCKjnKcI6SLh2KKrR9jvDci7f0UCwsf3i5P9uG16ytC7rf5u9IokEpl1rHFhg8i7aeUUh6OEYqEV90+1Bd8gBXRKfBORwNHCxrCEHzPSgykxb+7BzG2QMrdB/5zt3RqSfxmfGJsGoM7do9dgNMGyR46Rx/RBBSje+JbEmgl+46TXXRlu9jlrZf2efscGme+MyPHBxh7rDysSkExHEPDqiIhHZDMN4dTeg1qR9mb8ZAJn+wCSDdHpju4rLl7ctJ5nUe7z9rSStOhmGWok7JJOHEsKbJAsqgA9ii1Bq/DsCvkoRhcwEHtI57VPGpeDyN5RmF4L7SgrgjdZMdiN3iJkc+Rk2IFw4BrUmqQIZeIyc3ln/F+RpM/rBYcii+vT3YEhQqZZGqMpaRNF+8TPlsWWvy72HlxLwqPXGNhaZdN75CjqF0Vozm+p0T/wgQhx3p8iM8E53GiK6bN4sjnzDWjAMG+MEkRcUAqzMT+aO6WOIgobuYVtRevC9glP1uVzzjKi+R+d8qa9n5ml+kSm2cirvEczQNOPJOQLehd/fgaSbtNNk9MKTqhJ0dRiCopYcWHlB6Yihc9YSHpX2M8F6JJFop0Oqa/drrbqVVWuM/Wutdo+c30RrydL54lFlXeU0CAGfhWctO/S2jXP+/+WVAWL7kvhy+SkOkQJftmytvx8Ri4zJt9696mNhlO1JTGpzyQWVSUNSUhXECXTWUGUUHlccNIjOgpNLvcFG7ZUo5mJOUUUbRlnySdoxQY+8GHXmI4tlzDJbSry+TWrEi6CuE5LS/B6eJnUBzBXjQ77bo4CMbISTZkC0pIuhxrPoqGF9Iypj5pec8Jp9pmO3gzkiMjDYNx8Bodn/SjpEGo3sHFZvlbM1FuLABmNr4WraQYuSjJmFpDoPqXoK0w+s7J1cTEo928SWqzLbaWAe5218Bmh1XPP2gdEqpvj5EOeB7by/nFIif5NrvacnYp9Y74EmNwknmlpqQaSHMNeID52dk5wXeDHgb+tYQjekWMCpnkwSsZGSJ0dvkurXCrB29jS7qEIQcHtwdemoO4EAAe4UGozg5RAVQb6CO44vThgGSHub2O7fxOOimjRfdHixybXEOoMhq1lki8bjG32xg6+UvIC8XS0vAVqpjJfhD0b9Hl2zkm/CQGz1TD5hpOcGZ/V4GupYJYZFKQOLA8LJKjWmoXg9JAA8bwICgvUwrd5+Fz+3X91QOIz52pjGsFrcqtMRzJMfBUDR/4jLq49l4v2Ay1YLzl+Mq1Rrd9DJejUpCZz51QU8UE+x5TYVcQjDJROkommn4Ii7slcOTKP+I5YOw3t4bJgyVkduFcS34PhjnAKOX2VXJYpl0mHgqllnTJTKnG5fsWyOGfI2B+d2vn47mtp1V9adk0mTbIxnQcfdD4sLQ3m4PwfddSMjZmhKuk6JQmCvralwdWV07U326oKEZmZ6wJClNk8BDMZYryN7JAILdidtAdI/8CP8L0BHTUJ9cj8U0uPhdW3A8X8Aw5YstbpqxaM+2C+e+WGioLGSx8iLstgOVDhsFzok/h1sypzWspugujFkXRIjBf4gak421/a4bhFvgbWICb2O0gdnLr7T7+Wtx2oZP2oGLMyNxpcaT2GNpmZGyEuINHtrCJ44ay6OKxyUgC7kpnsZzstPbn2C6y3OBAoZggHdV3EMJupg+CD9fn7mIC41rwy+5mJy5Xj5GIz5T3hDsT+m5G+iIdZ7xCBZaZQpn+h3ITk/tYME1ZlXHv6AqD4XLat6k+waaL63qIxV3FvXrNcBffRddfCys9AjDEoOtNXimvnQK5e9z5ufmwXKMTN4ubzuwSnFYc5VlSQh0zO5yHen+yWVDcUFprzBigwOEXCvPimCl7qZIplYd6dSCM8TURUM4uBg50wZcxcGieR7q3/RrpgbtwHqczlM/KYhVN9vYS1DJYJ3R3MAeWpJERW6HperyuWnjx1SUFyg67y0MmvUGBKfx30g6vZKzCVmm7VpLi0kI7CYgjBJfT5ws4YgzncBVYcxxc3z7P5VMgzzqvkdZ2OP2sr3EZdYjIiaUYEhB4DcZLKdq8B/7jE/b/jciF5dc7qOy2CCUCLXl3CqkdJOYxg+ORNYEvTVNk094SrIZFD8aVWmi+KteYD64ClsrCn6+7I0pquykONa5pwY9PY/GiMqOaC8aDLteMBcnU5FXeu1Z0odsh6EM5ClfhYpwuCkHx8izQSWwXM6RAAg5zYGNaenwMj0C6HsT4RCak44i5McfIrDboHSPT7lkXndr4uSjpHsJtJgOVhCXongjnYrQliB6cbc1CErmi98VX5bWYkFgGDe2N19XOa46sH708t7f+f352qc6xY2Vrehva9rK16WWSa8e45VjaRZRAWdDVOMZow8/kZ1Ag6aqk4NBtEhx/SgZAGgHLHaSwUyDBrlLDrzJlewz36cPoocK1dWuJuzVkbrpv8DVI++sUzkUsWhJ0v+dwo+9OQwuxriTp6+iNuiqZC3Rh5UHJg+bmk816PaDj4BRkEBqwWHZU5WTkQX27hgHCJQnKYL6pUa/F470w+PhkR0UXNKfOmSLIP4/iA3I22dPfMCf8uUzkuO1fQnWi/RnihzyMKLgSwCGFj2Hvx+ss8wuXSfBXKbSYT6OLhn+olCVc5XULZxJLCfFA6BqdO3Qhulf4sGQwZShZZYIrccXUhW8cl3gOc6z2GQBSI04l88dlhkD/Qh3G0i2hJwUfeHcCraQWvKJzXf7l9HSPiOagQfaZ5r8+N6m3VsZL8uZ88HOubbtdLkT/710g9RwE9ObmS39E/e/Yvp07Fxm+QOgDu0zuY6t1uzgSCLhzcqS5QXGw+P90EKeIJuDKWCzNYYw3X2/MG37MrgGnDoojhy/h5+nkYQeZFBLAeekX5Pge0U21O22kPlwKhIoZ7g5e4ik0qDqTQLfIaAk7F8xhOeVI7sN8g26zG2MM25/uBUsRPkWCf57x+zjbsahTZhxe0kBiXSzS1cXY+cDzQgXCKF+2YWBWmCysu7teV8VK+dpBmapu7HaLHJw5rPiLzkNxddTHfBhT2pR71lLGkHncg65HiySvzaXWMT9raC37ow8wnZkKozyMKPBAFd4j084DQGwYXOm43E1XVUjUhAHuCq9t7MKIZIiwew7Bl8OLZiU8tBaUW6ioKJocPMoDMwnQxUuN+rynPDAqElR/ySE5knN09US/4jJEl68YgO6L9w8xejrFvUCXMrwuzxzVlyUoZ+sppHTTJVIFkb0CJ2RnVKIFFVbpQyhdhcVdn2mIOEex1GNx0MK1SeoYCxOoKWlx5/YZFgAk/Myt4aEvk9t7UNq0aqYhza57o0TRwrat3p8fdh8seOj7gQT8Z5fwViyajiRtMHQgBvi7LQjxZXAhfEOXeojPXf8ANskZh6w/I+cf3Rv83D4EA3SuTEx2/ZcuDur9o9ede9KlZcIvFHz++Yr3FWtnaZkdr+YTVK0MTquIksLvhTjyseDAZ1oqGpWdPM0VhPrvXSDvo+t4DNsmGrEsbjhr81dvXBxHjkEVMe964e5OQwFOlZR2cQpKtL4t9wfaIsgDyOkFwx6fv35/l4/VhyVFiCLZ0hsR6RY6T9xi1rBFU5yeRUALs2z7y1ZJYXtqihlzVAKMx7uuWs/B4WBB0cRgjcwbnXKm6OLE/PjuvwHatzxFh50ftH532fXU5s2tKYsfSNB0AmkqrAJnCMxVK7bdEubC6YBcZOp7uFlKLeWZpmyzzAbYWNp5UUAgSXPaglseAsw3xhbcjg4qx50iC3PNDZgaF8dROWndFt0mTi/7sG8r/S0PksRlPBPno9dZqg3FJWWedh9IHFOBQgHxJmYBlZpj+ZDDYnF8Pj5bLIt4L+k6P8fipiq3u8XyQmu5koLSYS9b4K18j4cIlaebppuDT4f8j+4kP2+/0+xEzmrCVNU5+RnI2Y/usiYcIQBYCKkV5rBlsWNRToPagkx470JSQxQe/94StCeiGtR1s3gjWpav7B5xKGJ5I15P99aHJNOuKsd3M3Euo9fRZ3Q3eo+5zZ7D2xKnLB3Qr7k1X5v3CYsnKHs8r0bvDo/eqwf4u2nnpvEHslIUVaeDh6V7ApYoNCZE1W6vPEMxePio2fVrTkHMBjSdZfa5AjssQYfmxP0WXgLDFPHSY9glCnHBwZwCdy0Ywi42He4tonxPAZOVuxfk/HuMRLJJ/i48SDA2PnyNStmQwQnDJ+48t+nr1BqcV4pfphf6UByjclsYMqpTowg2VLe00J+GkIUleRXqBh2cYPy3tJls+2nBDbtKPhQF2W3vEPxCiyMLCk4znI7StZufqX9iypFqexoo1xKu6ADLa+BtPLRqj3Mk0rAiFwW10b27hCS/S6XMvMbGNK3gLIjTLbol5IpLH+mEY7hVy3lLyaJ4Id58fWip77JMns3M03a5wTY4qSVyR5FAbtEduRnkhuJwQmYHrYabg0NmN/iZUIAqR0UqS6bZWUgZgTmdMdU9hcGuW1R0zpC+wXbzIKlx00JEpMWWumSckKAn7ToLva+bySKXDF5/GARQbTInSFek7eBITAFmqeVDMofpa6U40tFS8FBYIaOE36hTPBST6UmDDP0Hd81C5bIG/S1/pXtbAirwwMKjlCLPlECXS0onFyYD2LzPMjZYN58s6BpBJB/TcW2MqFjuMRkQh4AuKGhMRhbjXCio5hhC7sbP5boqM03nbSAZCzNSRRgevAams3NOBWkqXNeu+LM8/EBKMEF4vzWFeDgPXZhW4KqfGS0q2NbAJj/fPrdfxl/shkvZRPF5O7+9wxYuDiGbM5Htc4r0EQuzGWk4WxRJJyUOeyhk32SWC5MNQaviPeCc/65/F/fREB6tdU3958agFPm/Wba0CDFzEbWLw8aDi4UihPTsEIXzMrqYmuQCuQtSP4e5P+N7F0ioO2yG6Sy0jEr1hPgDN883VulSA/JD9sGuzOQpQXGWEvyznE5w5bg5uZ92sZCRygK3EeyAwhJlPzqISoHb9rGd3K/SjHjz5uDmg279YIxncZKcQx9y3H5YGrCNnGM7fseHliQ772IbLjs/nbc9DNIm7R4zQBHnQMs42rJGk9rAh0EELt0zuOIWIDOjJIW38B5+hmP1FHr0uyEtfMyCCjK3WCllOti47IJQm0RzdcCZ/+GiBMwtVUFutYELGJlJPSS2lfFrTaoUWPEUG1mgAB5uFhPrQyzJimpht0MAWsIs5afpdhJp4BquNGKzjI7LPhzMUx8rn5Ruj2+2/tjL5YjGQ1ABZz78FGU4cWkD5ueXSYnAGXQ5FEjgA6Rl3vQ4krHAoZu4THYgGoowKUCMJu8Emge5NtvpbkQhro7Udbndc1jEqHMEFS7qUkHD4oBDlMNvF/ikh+1y9bVZ3A/hfiMlZ0XAHJ1gOc7YkeIonnZsRgCjnAJ3TijHQpmZ0BYNNtxI8XhW1jxQuoP4r0UIUngWWl4L1wPSvHLU2ygVhtFcqKs1jUQ0L0Hw0X/WVFdz5+vh7tq/pJdi8YNdTmWmEvcfhVQrNVypcGZC4z0P92UL3ardHMUTqS0sjlOkC0A4ZzqRfpcjsJBbQW8ZtlYiAA4+eNdq1XdBLeS9u/zp1vZwC9+H2l+UxNlF7dZHDO/wIP6sj+b3LpCn96cAOtnIZsC84yRbK/J6sUrH0bg/+CAru8u0M5cMqDTKJh28LblUnk788+RoPASwL5H2tkr34QSWAE7R4JTBkIFCk8RkOk46W7d2VUjS962I0KXq8cKRJ3PdST8BH2XE8IZkBMAgA7zxGPpqOpjyWuTh4bVws9frr9OrTGrjVEjzBJ/+aOfLlJWx5P3ufXt7eOtYbwYz9Jbd2dAwfwfqC3TU09FNM0WjsElujBq/JHCzdIJXma9D13dcXxhf969KBLFWvlPVI8iAwQDdFCPxFsmQPJTFv0TtIW6L2CfDu7jJS3dcNA/er3gcHR4qID7nPHAsqrlR5PMUaz6Hlpzx+Xq8+jqR8T11T8GGgCaWCwDvt1uSiJkCKJz5x21k5itX1+9Wl4042O98k3P4PDzfM6MtlGBoyRF0AbgFG4IO1M1w2u85SkPgBt/sWrhLIbGrLBnupd1glwp2WqNdWY1Z1DKr3UURm9RtFn+uPBVx2PLZhD5Dt4hcEGs8Ns7t6vWwYwMLTgGIUFQ63xgi159Cpjp0gffxpwV1it+lzPIS+esUVelhmdlipzbcwtORRQ585CVoYD2dH4YTQ9x/ci0rfK9LZc1w9tkEk6xJp66r1+QWh43XGyPc3TVckLIDFUbgeWebnos2l0hbbOC5r5yOWkAB3Cf8szzzSmzRzqdSzo6RhU5SeTxkgd1aUu12R1VH1KbvXiCP745+uLS6LALK5FbrolNs3gC4wVIYWaj8gPUqJig+fYDA5SN4l6rB8cLu6nFr67vV4mR3dk4r+ozINPeX5QL2RV047NTWT2NPTDcx66QrgG6QEZWCvViAgekx0pAP/LI3T0YJHTcum+lxbZdT0IEYLSt1Tot9tNLXWESVI7qE1qSWaKYLTlYSpgyY8hrxPlEbjKF4+LT/1D4ePjpi8+GD/fy6+zU6DbrwW293835+3z7OH71RlFaxtOlTX0z3nFs5O1rqEa7jwBdQNdJUVVfzVC1wbaQu3SK32q4aekuS75VLQmOCnJ/GvxXELpmYZUZSo6R4XCJZTkXUEM4u3szw1dII165hyvgCCvh5CwPgedUjUh7rITwxxeagM+EDuT+6zPFwS1MJOxc6PYD/LiIr3OpegwSukfPu4R6wpTiAXJ7pbNdqDAjdZGLGLgUA95kMUGYtF7s8ui8zs9vxPiJqEJLflcciIyPZHIz7Qghg8knUL0FBZcPQWOgY1V3u+HjFgNybDQrFEgwIirYd135pD48hBa1ceBUudF28Pg40Fl9Qpw5rezo+iT2aR4NTPCT/82QXyXIJjLImJJ9+Fks8T5hO47A0P7b3y3u78yOLGOhG6ZhVUIOBZMR1dM93BZuTSm7EZW4knOY9kAtImyucnXbLXYYr5zNCrOJQBdNeT3FwZCepyxdUIaYJ4BpHlOaySBUOGG+G2dXPq3RFsXeeYXD2w97tueqh710gKWBcaA1Bz1+9yWtp87CPsRHKBw+2rt/Y0W+7uLngnGGRxpqesY/xjBuEVT38u4e+tbetrR9WW3ApDRzcGcJT5poaGOS4pOnn8KgQ/W69xu8iPpU85WNcRAmqjMltiq0vONPL1sYvozw/KUYpv5J0vp/lty0voVfGeOPN9Y28QG4yxz4eBjDC5NW5uSbzg/+dG+G7dVbqq2396eYSvyrLKR/2PIktztsmh/HT9MkblevE1lUAegtqiwUxb3BvJLqa9nqSqkCACsOotHwj71vTUOSc4DsjCc5I0C+2V9meSx8WGSmJM2FyH4VT44rtNepWZUQ6UuMeTVH2vVF803m7oBRuYmlIYFmiE8F0qLGRL7OYST6EJ5iGF6WvlSubtnKOVtfVYq3KCjf0407wn2LrmJc+neV0zWLQJRb0KQ61a0r3KJBbZHebiNnH4WUKZJt0Rf+t/WaXz/t/vD5aFC00LI3SZs20PkyeYTF0WSAhwfcvTid+DqhPGFm5PnOMgI6BXNs0L3E7nY70GgZTBPdBw3KrfV1sUpweILdnbO3tdGvXh6uduYu4XORRqDgIvL8wdsFCjmUbAWn8/u0YkxVb3/7RjtTitWXxyqnEe5WlzvQUmUpQupYpJLOpj3Zyy2bG7nYNqp3Xt+zvcCPiAF32f9Op1rPD7xYmSccgo22hYS2nkKzmIawZNAsephqWrVD6eL555qgJY+4oOLBZtg7BO/67+EFS4LhptOo//y6+wC99f3zvbG+8av+2veve+YBwAtJh2RUMp9jywYNrKR1MYwMpFg9DW9+sGpkaeYAXIk4oyMXKcy+zncv5x0UK1v39zodB6sb87OszE5h85z5+V2E8GoG+tLZ/2rfhaZC7xpf+gJCcUUcsF9UjjsS3cPEuL0of4vSe1H6MUxwQec3RbgyDUx4yY1qJnqBww11ENzr37eUaJ6//XmJgpZapCArAdK5b/ft07fw7XFPNRUlmzE1tGecysvOtxVOm+pU/pc42iVlBJ/GhSTWBFBQ6npRe1uJFA1N4rRwup5CFMhKqHYYCleHypev2QSpe5vbqwK1RMoRjBAAsPFjgobWlIcTHEn++dAUXe4ZaQ7eFymKX9wdTB25N6djjGE83Mee9wnsAqyN6dB/YkxBHur3cyc+ZrCe2dm0Su3H9rrGxXNrrYaewcU/8tv7Wft1+FRqwSOFGAxY6RdSrY+WaZsssPuageXkAdNfotDJe4A4vQdeBHYDQAM/RLviXHp4Yh2Crl/cG76U4qxQI7nN+nocydn/Q4Xb9PZ7X+xDYHpOHtNazyFVqIRvg1F7rODWH9tolawbIGfq2nYOHi5lFFxtmMmY0PYFml/lOyv6YWsh+RwrIM05HjzyW0TsPP4qkqiWWm+0126ZSMYtvWeIA4ap58J7F+9JlzDB6fdkzkL/OkoeuWBoXS1uiZrm3OIhIWNzFNeS6Sr9KY5LvXiAVunMypjGCW6oW3Q43iVsyQPM1/OkcB9OnjtkfRw2XBIC53WsHpYEpvDiKRW5mtXPHiDf5dzqXszDJ06niYiXcJjCrScN0NaEPjptGoZCw+4cQzEOAPm9Ski7Pl3AlJ7Jhd3PM47ThwbSbm85tfYruRLwE5xII5Znn7U0AZYitLKM5kRDDYkCWztkEwV+OYfbJcioddJSa5QadRQM/Rwyou92JxXpDzuFyDuZCwcZ9HJCa61JYi7pzRhtw3v1mcRCLpbu5Bi+xtO8aDIBLMgElLsNnIRAPlecWN7tBYDxQSauStgXtiHQ+YA8S75C/7fbhEp1GBJLMU8ZYiyq6FyeGdD1ykZPFXv5hP0pWBzu2g0jNr96F+X33FYTLSFxwUp1qeeFDSYeYkRZCA7tX4YBjOh1WHqqVg06xdhx+CYqZMAX/DoUfjTbFpp+U1dIUEByHxliaFZnpYxQyNfwUWgphC+MVrzdhUal1L9qRD306IrmdTnK0JPUhBQu56HDbTBe/LUJWCgmWB38fnSC/Rwlvfq4GmA3hUMShKFkdOGVOZkKS0WUmcB/YrIXhSXkccFDI9URCOwTMcMnIBDvMZfB98WwIs2GAsaQsMmOPQ7uQ9wSqJPYNMDvSWci/B60tfR2Lg2vzQ84O4hKs6KgxeQ1pKvSjBPee02BkudgovJ1C8FDFjynGvHfMNPbBfWaJpmKvJrgx0yW/d4HkRnIjBZBLkBL+dflQm9/MGh3LdU6DMSWCmB/AcyItkL8HLpGh7OIwnFZjfGCaInxdtT5yC/dyiy6GESalY15MToBMgascXW9cjBXojDL2tFxvvAHRHsOXI6YBE6Dbdjc+EAzfX2O7dohsZ4tvGtbK7ofPN4YxRGl87fYyLIkPm6UDhUqdeWJIjDZSmIiBXdfoPtC1TnPYpsEI2OLm0UR2DTmhqY5lXcVDR0eSyqG7BDHjR7m2Zs/sgtz7eHk04hRIwO6Krni4+FC/2b/Rep8/vAd5mhnxUHZtdBbSfOCQQqXKbaTb9jH9FMkqR8a3ZlcGjoXaZtrFyZ+O3vxuTSUYofOBl5t56+7ZM9yw963oEl1c8Uorg5mHQUlkl/6QXRcPMcWBrmkOYrH2XXRWY2ycxWPTqq/gAhvdTN+rDCWpNjjXE3/RBYdQDH14vvto2pElZ9JCA2sA9Qbvcwp/wnJXjwcmsGjpMeiN6fbzoPDIyHRGXi+fz13uyKHePQQNCCEBBsOXQ8RKoAXH/JnDaNh73zpOE69A5wuDQM/pOFDumeolbSzzFsbUJJ4DsYgp39IEZcjExDHoQXSLbMD1nKTxT+MQCnGxILyGYLJ5P7iUSixVhsuai6WU8TpBpEesIXc8X0NETnhYMxGgCktIQhpaOjspdeVzu6XHa1J5DObbX5weDYh73LX2pt2fC7H7LnXxKAK/d4EEDOfFcFOzOXZJsu401/SEwSGGrdN48YFFr82H5wYRJ5LE4vxZdAzZZXjBKSLPkfksIx5y8HWVviGQPbx2FP5vNMuYWoBFJS+QD5wLB1ZhYNNt8uLS5gM86/QBE2T9Ru+7W8VsXh5f2vwwhzaW4kMhy22lTtLdS3RJyOmg1wx5IkJ6zqWIEAQnGAVkC5BcSV3qiMVTEwsCDviWLM3N962kr7Jcvo5f72OM1CWaLDA4nNfZYGLKS74LIqBDkKJLNsh158bmEJE+s9uppuAPhbI6CUZCSeNQHxhJqY9sypMmVbnhRenxpGcTeVij60lrsDIe0d8vjX3NLsIWHxMRutGUFRqPgAaXvPD96O93m0xXktI/FwM2lUGmp1C4DWc8yusg1xPPyuMSsRcouDBT3SVeCicP1tFt8QBQKYUFP0RtdM50jOljKT6HVHQIFVXlufP5eR8ND8Gl5cDF7m1OpUtZl7GFTf6oG34cm3JpYGOxxFQglsz4nLplHYFY0M0ZrUx3T/okpHEw92UIo9mXYCsIxwzhNsVBpYaZgraFlM97iEUk32B8bOPhTvZJxubZWCYPXfBS5Y4UHHi+ifnr04iL1S4c8l2m5mTjhn5MA5gtCjuX1sMsOc58nsIUGWVSBHKjc28P9+vr9NWFMQk/j/uen0nh/nYZKnMBEj5YZHcIehSQwDkphelSXrG41J3Lw6XdjqFGcwu+nCP/CKoi2T7fu0BygvlGaVN3kQDITQIVhQelMqipzozTYCGMrhpDcFHB03LcqPwS1AHiQNf5PjqU/ZkxnvM+XIEPsQmz0+Q+JNvillZJ+UFoWpFKAyNpwSCm2NyBsYi9tcRJHsN5xtb/oW/Lu0WKke03rHvMAfI05Majm5Ouk1pyXX/yZC4StamE6YNH0XFEYBmwe7X9rxHaDSqFEzI1uBspeufs2rIrgvpDkS13Ga4JeBYdjYoQ8CwiDcbX2FV+rnQdChhjxRhi/jJ1fTO+0ciA7kPxPwuBLIoV/G60AjzIbYyHjhN3H3igbAMWUpjBHqZ7XER1xY6V02wXUPQuvup3ufCBK8hIiV0atvoPzRtaeAV+NwTfVFY4mKZJAb+LAuKDkNI2ZZdQVTDRyHA23kuRiO3gWWicg/qjEorlJlEYpAXuUweMTBOrsN3VzslDsGJZ0e2nLtjuEeJ8mjlrtIKDEDZceejyVUbLshKg7mRejd6l/C4minR+r4yWiteleHOYlfWamCzf6xQsAjKth72HnocyBzE1IgsdLAWNY7iGfKfKxciKTLfkwFYNNqXvYhqPlORVilJu47chJjZ/fkpFFRyM4cHqoQct7XqMEDJ4o49xSP1fpyOdrbqTXbNQyRKm1Xa0Q5LIx1s8M/kcOjViUJ33ThmuaKV2jYVlJTzSqNXEp96+C/PgkpfiQWAMDLXkexdIK3aXhGNC0gGQyWsxQIbn++wHT3tdubhlQeafLh7g4spVcfOvGQ8A/qAiYDqF8zSqg32s5i0AcMfygyuwv+R7ZcfkCAUVKL8FkK112R3gXAOnLC2zUJVAinYxkO4kZnPjW5jEVd29KUo5ollUKJ50XTRiYHFItNpjkNiXvSeWwns2kFyzHHvsaipzmi4L+dpt54ddDzwyO4wzpNogoURLjgwvDxcVNxCAoS4gC+QBS/qFca2pYtAElkMAbh5d3BhYr3nKaVosz22fJsFkdA9vHdH5d/Q9hKt3WEI5M3RBiSLq4BBLAO3wiaLg8KOTZIyEGsPoDmG9v8ldU8UypNcmHdxh9KCiOH49hIs4XyyZeC2+ruR8fpvdY8HpcvRHm7uEwzavlYdL85Du8W7YywEs97KLhQP3AL8fvTL3lpkuUFDGSY9TJZLQaMgin8cYz7LTVEraXsPKKttGmCHvMTtcDhvkiHXvcY8yiuOeQ+If21k8K+E8zjc7K2WS6XWpSge8m0gLNvjZsVlwcqtcsReVI1O55GC65mKTDsmCkiljOTpJobThoC5npzp05DDz99NjoOhGjf+kh2ptq+18WXgxHVHkgc64J4hSYAkHsZuE0SFNJ+Am4+c4Bbn/ztxYg6juwYZMNJ+xyvkuh6HaTfhzczNvtjwKnynuC3mz6eTEVxkn60uAtRoOdLfYFZCdzv3+3QskF8jxLT3qvHEzT6ZY99IXcHrOwlIyuG+LgkAvFwf5HbEBBeZDQSEw6HaUjqHlfJqyVnEp12IUAvwMMRcwebBKpIV1erNgGIIvqTErWR4Zi6kLUZLJC9+0WyHzOsnrfiXe+W0Mgu+nbMnAQ9I5RCuvjLKUKJ9hUXVgcM3KTMOHPu2a6n0rVZy6cG3GlLj9/kpwZqzsstPkO80PvJaEhcF1I162Rt3cfHpTpbWULsq7MSIm6MjWfP3QMcbAvPT0XE/3fBrHTWAA/CZR5STu6zeE6X3mimT6X1z8uCf4mXY++ynwXUb0rWun46m9H94HfgrOd1xchPy2/OaBolM7FlZ4EiY5XkI2rzcXOI6rKCSWY3RdUxRIoZZlek21Y7w87+TTGghFRMMuTHdlNG7n6CKRk0LXwZ+RBU5i1GBz8ithXBz24VaFY3tmApVpbUkn78VwfHVkL/jFTjjvlbvuHlHAnN6RayiUaqnDfXNXryRvU4w2c8GFEVCg5PLDQphuPXRJHNQUjdrm87my7GGSougLMyXHk4Wicc4Zl+AChumH7z4OAj0nefaYpdNhqyYB4bbjMdIEaGAg6zPRbXMoaNDMsylf05Ks/A/AltsYvNXbJcj6FMhd3CsV3iZ9iiKanq9ykXFdh6OMhywLUaaFlERWfC7PocsgPBjoNBE04WGA+uzvYXf2ef1sW1+2XG6gOeXSPcXng1ONBySjKn34wRqxMgIHWM9umPkj/pGOOOWu7Ye6ho+b29R0UuYUuudG5+mLOzIfKgAtoUyF3xT+Jn8uDWWLokSx0moejGcJJ2b+uClLmo3baUjWdAh0jClfs3O5bcGHzE4G/TnYKXinOmH4aHSp0AoYI/cxKlmEeV/gOMRApCLIByJHRX4HDy7vi28eBjmXbL/lJ7XoHCHOA/hj85XbU/67hxDPY9Id5AF+sy11210u26gPEu80jiFvWDBLeKzgbWKKjMfQddIgoxL7yopNfJITvwv3awqOXXJmFrOEEicjjyZNXSWnsGDBgLhNxkKQI81pb9HLsbqoSSouUm3he6e74TClCE5htS+kAj6dmeulb6ZboNBJBk8oxtya5fm+NVaVsQtVBl2H1nrzHAR0FiNDLIgq87miR/mZUscY9WgCMlTMzSwE5X2Mo/paplpGmg2VoyufAACZXUlEQVSHYbrQ2DWyuEz4qbozEyDTU6CIz0oPc+xW+AD2OsQ1AobSYAWXnBYE71r4lGRStRFNxxK6f53fKVBbmEjQOVfeTfhQ5eKHJQqYene5swH803dCNvuHfQSx9aeILcbFaRfKHBcjY3SxxiuncU01INzfvFeKMsVQ39bDdCed+5wk5chOkqaLA5JnKZe8ZY/oF2cT8NwtaFEVj/Lw8tCO58jXKbrTdy+Q/7b+m6cTF/F9ex/d0BBYhF5w2+uN4ZYXLTMXnJOWrRfa0OVZLIBu4e40k+4uJXMy1yRxoRrX1KvywWaokpKt/KZwGguKaSb/bhzZd9xC4veQVJcMItdHcE6D0yUfcLwY2b6lxZXu2Ezi4DUYDqCVfYl2XboSxGew9XPIx5RrkVRJ10tmyiFJv+ldJ3ZGB5QdLoC/Msa2Bb90eLJzxPmZ/+1YmQ7WPIx1DUumJqienDWvUUVN7Ie4qdfQV9c4wuFTGTN2DnNYTJXhMf+bg+bt+W0Q/Q+z3Z/6ZxYG4yz2WAFhdGt0vHSXFDHGcqlb6YyjMW6qnPiM+NIhfRfUC8ZhKCNfnr74V92+0cLjQp3jrAdWmjLUcuqurkmOpaMViw0K8xzLAD4bNuo8uJoYABMgYd3FeMxBVEauXKd6UNX+ZsGXjhVz852fWl/lzFQjtv8f5wkNFv8YMk+mjeSaVvAUharyW3jt5U2gzdgu1CoqQEiXJFecg5ltNgcGum9iRVDM4EiFRyl0lnLSybxr/3v5SIJ9ct9xoOakJruDrTYJjEyBdOf4dGRkSRHrLUpD6P01poYGlhOJ2TXDm/Zm90buMwUauiPRrP5zFO6yR0tnHxZR7BrqudeBi0mUZwx3rukmR1hdN8YzeGqinKvPwQufLBb4kuklIEyUhsMFWXGdoQC5YAOqu0acS+H//zdisf/jBfJf1n8J9+Tl9aG6Z6qkZxsfnIanQ9gPGeOJHX4SeyXk4sKddumeSGz9UuvrMuMSxrtKinJj7LVhlGOUyWzjwnukVxSxFCY+43Vqtz1x9503LD/HTI05bhgzfok0baGnraAflzeHwNi8kExBfBAXXAAC0Pam4+fgKk4aHwRhQtQxpU2bfn7mt2ainJAasA5LMADAccE310n+JEqNv7a/isdxwoEl+WB+k0jniMA4ndGxHAoC73TfAPFQVMqPkIIOmTwLs5tI5JGZpeKNvCVIz9ICGdp8MvbCbhkaC0a76SnoZ4xMDCkoEQ2MtHNwYvVPpHsdAwuzwHEAwM3k4Em+pMYW4xb+mONZo4SnS6iEXKYtITd0S5y35t1kl4gTDrvx6ogrfYQiQMFHnz8E3FMO2AURiMENR4s7ShML/Rq2W7EXCvXMfQIChiGMnsiOhIa8t4vLmbpglSTwERM+cAq4xufjEjHduO3WWVKyQMFvEwVJF9SnWmLwJS66e6MqjYPFaJI+XmdljXNwa/6xS9gmnYVqCquYjYJX7LhZNLE7hHaDsS6sArieqJS4v5a/7cKEfnLhtRKqxZTAFENwG5NM+mS6OGSBmJaAdH5VkO8SW6Cob+hdHIRAHFwbg8aoa3lom0uDfr67+iwaG50b/dqCF9xlQ5C+qSrkmBjz2ym07YQUnJzAZ9kBjBmnmxr7714gURJwQ2GB5ItKVjoPvtsiRtg+XiBVm0LIyEIX8+12TB9B1vxcnDJSJQmvDgks3bFO5+bZc1wFUFzjukHsW5qOYlPFUgiaUBrUekICpoMF5c82F7d/3bb65xrA8t15+k0XZrk5GpVzDriRWzywDziW4FmpCDFPhS3ZEDpdScnYma2BifBH+Rn4Ct0ClJXMvJF3t3ZyHRmpf93/2n7tfrVw8L4oomXIa1fMfT5ndOo2Okq97d6GRRidVoZtFTRRY1DxvyyojLC4UGfKnV1PWaZlns09wnO6Bu2CsScLsx1Sded0Mcl5rCXBXRkBdrnfQs7Gd7nIEFGzBIZsNGmGZengRAcMBpzWWhpwVAwBzy5T2mHWQOTr9WvgYLi+14GQfNQKbIJJIFE5N/UqjXZxXVzsQK2h6xhiKSKelRiZ+SzHfRRpRDdo1MlT4htjjjVyTqpA1qbX7v4W046HATgfqhvcgRIG4KOUdgXUM+zuahXuB4wUwDs5QJgoNMLNa+RngGIK3wH+3TEs+XjdHmBwCzOmREgLnHoOKEDXqnaJbpx/P+8vN7rlPZlfFquMzVhoUMimAbNM2KqoNLIH4Ohu14AIduHQ5JQHZEZxZFENoZ0O9DYLo6gxJ1Ez84toGtwx4BC1vN63vk4ObqzKgEvm2FyL3RKN0r8+GxWXW0tLlzVJEXPZCruAxVn6GNQy57sWSF90SsJqG8svZ4T+vHxWgiQZGjoLSw9GiOvVQlRCeRcVh53jJw+R43kGmNtNcjriDJRv2LGIm4/TM8OQ7kWmO8VJyfixLeHHR3cJ/Q58IsXqFGNuBv6eBPTp5k1sZ0h+BQD9sdMoY3gbD4cbXYx6UwLFiK18i5GEQj+FO3UVR3Xmh0XM0bjPISIUeD3mgczX9nX+GmMM4HZ3iJu77Xz42PKilHG73C33Mcmt7y66RLq+yqThofjQf2jvu/d32zcfEMjtfSwNlK9h3DqmoS3dJgmBbAGBGNjSgvWCFTKCMWJqVRRLBRx2JEr3uQyjQV8DmpAwzI0HrIIuvLhoqYjwZxBGNmx3TbbhaOjvWTYBfUAHyuWAdyE8ZNgPOIZX94VTj+TFuFPBtijYz30QuB332JLizs151odD0vPu2Z/Bw8u18/dBVOYgSd2v3M/2ineZu7Omm80Ydm8uR1Bo9Vd/J0WX+937iAeVUZTtMu8Z/AvTDYLe0oiirNru2ex0fKmcoZN8u38bnFam6iFdaMY+qC4sjfpwz6mkRZcUQxhvKO3d3to1mjfDgZPMi+p6i4fIfScctl9dqlAgUaCANzN12HGnWYYLSVzAx28kixXZijLpEHJFTSSms8++Rrgorg7TPVvegxYiPAWU+424izkMoF2ywWbYx6adwodSj668cOSSQjLV1IKJAmonm3DZt0wV73lMN9CWY7KRKZ6F02v2kguk8vb8rgVSkvH6QWsnaASctp6opPhNF7FFTi0XEVQmSNm4jJ87+VGSfXeHdjzFJo0RRmIvG3AWHOm6IZ3k8Or/WJQOH6RcGnBTc+NLWUmNqzSB+Xo3U3BbDR4IlrFmJ3C7mgWDltWHHR5anyP4wyrzng8GbqeuRGlTxs0C105JV7paa/6JrdT+4r9L9gqg9Se+u09hzLne7tkn/E4ebrfK697O25/PVjS3gyoGCNWiOxze+ufD4YNjFwUHKgs/g3/uff9eHSpdl8smtO9sSq9JRWIkPYSkr+ym/kbjmmYVwg3rZAEopgIPDDxMFRqoQ1gu0I0mXlUMhcLhCo80G9zFbWCrd431NwRkscHp5OsrU1i7gWOEfvGguMDDPBWD3nYMXX3X3xdPFp4tuxXgmeyw64HQQQdcd3vywSpDBDv8nCgq4tbuOTFLOl27yTGDuriGee9xfVgoFVe3sDYVYxiXUMz38bCLm0ECZ5xnuZJ4YPkUck/yLLxr7wIm4uclE4RrWhI93jsPdh0M3G+1GXc7vZzu+eYW0ZT5CR8Il8fW29EcS8FDdHlCYBRusF2ajGwwij5mB8pSqws8sLpqJ7ZTNB52yCjSiLFluhhfbcukk7F1B1qjKDIJspxZMnGxO1gccV9Sngofkq58DqoXXbfWetfkcaaSxs+az+8Qn43TqDN/XN/7AonJIgungoPEdCvf3evzvQvkT/uf2k/LT+3j9FGROG/yHsmJQ0ZmZMg7qihQmP+3ITaCbE0ZY+D1Adan83AZZIpZ0QHy2eZJ6Q2Y/DqNElgW8EBxWmR2Rr35u69c8tJKPQDfTTv7ubOQu+zZchzj4ccWjXE8N4QUaXlj04MFQfdwficLnEME1BtMRuTDeNXIoT02/RPp6H6efvYa8X7pGms0dmOJRyaFOcnCdlxAB2vnza52dhnFZz7uP7ZPw6f28+5n+WO8f9xyKJIK9fu3dqFiSLew0PcmmQLEd1FzjGWTIDmGuBnH4KZ3iMND92c2st+EZxltkZ2gG2koK6l+stOnOyIXfImlkdSK9hIOQjjn5IKJbkz8Eb5kygYtzFOMUjXKMQKVsscgLTDXW0jKNJFgow0PFFpNOhJpbZedQFFWaumiqmZe5ZdCG6MLsavgwQKnZoEAxgh2i0cihZEFIWbL4Ke8R4w6uDcSi/V93hLvpkvPMZCfWVGkdKF+hmzU03OR6+94XI4NfQvHnHaKxRnk/jVhKmJkSUWcAxLiNTthDE93l/mysfO5ISc7IYg7g6QL3NvOM42alWGSXYe7U9qFAQkxtZQ5h3nfa+QkVe5NoxAOYWWosQVGwPt9FOmcHFiuSZjHADg5t76eMTDWygcqip1YOeP9/hB4KLggWGM6gHNP8e+xi7g3OOmI775izKLHdMgkmpEkfEbyojM4jPfNs+zrAEvtI90R3Jsp4LsXSPCRyor2IQLoHV9PF2NJacG50ZNgenfQSZv3AtLLAku5Vtqxq29lpZ80Cj+4TDnjyxEJ/ChJ4XyVXM3IgtRtSm9Av7mFvTqcPg0RcgmkoH8Xo4c37SnGQX7nnQ7BougaN65GncuTxYlOUpkStR0b+P1FBQ4FUvPU9Wh3DV1G8vxyvluQ6a6dXpaexodMY5vDFAMSr5tcYlv7o93F+/17O0VC3Y25zYhTr28aH2jjle+7/lDo3PSD1+2/arTA98sUDwA3mJ9newiTWDDcJZQNvofh8c4OqBHeESy7wloUFYapLreF2YBRDgS5JfhPB+cCqMVSz8MG/TwPMLJRnJ9ZfIFxcTNn3CunvTBIGpNoDAGEAERw7oNcn3hrGR6UCEGS/nUyo6WyXAxWLJMC/jtyxgTtC9inWEnWThf7IsZL5ZlDE66CCaLxMTbOwkJwXeEy4iYO1xA9PYcUuvGMlzB2NpM8K7rU+2E33r0ddWbax8+369ImMVkBXbIe+OeQWeLJOLz4PnxGgBiKc5ymzXc8t30je+TAAnfElqALs1yKMI5D5rlPW3vYHoQZbin2EEPNrHAJ6EQrJK1JKSf3DwYT2AWmma+KIxZQoDZTWNLxfJWaxi06SlCCtsbILqrcbb1LWWhlLpS0vPRicFlDAdwvOn9Zb2i0rrEnqG5UTDK9LDlUgIuwrSMbHDjwuxfI4g+5PaaA8QKT8kGRU562H+MkmXITRiGjm2VJqMl03EzVrYn9oMulywSnwFwXvABi8pabOKyW2B7ys9K6vrwKLdDQXbKD1eYfFxPsxlDhVM5KLi1KUcJ4UzJBrdbAR6AmkJONhT+a6SkI7di88y1ozriEkW4C/9BVKiZWHlt2w4XNKbMiZW59cx9btJpiAfAQ3YwHSF6bCjez+8XVGTyX8TBt+iF6g695MvNnWcMkBMoEhsVgjWukzXHD8nO1puqv7cvwpX2Zvvjwq55InNJDCbPczIimGDqmoK7IU933PL9mhvC/C6PlM6yFS5m/2j0yRvF6kLiB6+W2nfcMG4IiVvispgnpWC33jY6eupZmyUVLsvvmn2WRB6UnKSsW1j7vFzq9/GOnektogEljSB4njjwUxKWzuxTz5BDO8V28m0Yox9by4RRH5ZAewzG9RAY6YONQxTPANYVUnV6S3H9lDKHem7RDnKMItdtd76IL/z/eN7usQ3SeHuZbmEJwTSud0slmixgC4ax05i6y+t3dnr+flBbpUBwqkKzTIavMPWBggKVL7kb1gmnKMN4TCTkkfG62g65CxXZgt6Db/hpRxnbaPAfcC2D1YK/XUQ7iwyX+PXHYTHcsBgyyZL65LnyW8Fcfb482NtzPJT5xQgLfTYWNkQ371+dOqwcGSCbEDHezo+6ar48mAYNq/vrdC6QEX1jvw8ULipXQ5XixG9NgANrBMSo9PotmnZzDxQY8R5wo1RCqQb6JbajMFG/yzOAoiZaFOXljOjnh4ZiGwHrbQQFg1OleOzUjYwHuoXH0kTbn2JFOzLryEA4FJvpwbMMp8o+5QaU8pHU9J82XPgok+JqZ0HC0WKLQDadbjAspTvT5xTFFqVh6OXIzc8OVksPI1P3Ow8T3SXeSXbTFCoUEIxwPIvQKMJN5s9BxAmK9VfLH0otL9QDU56DgYeftsrG/zd5EL7sXHyZem4a1jOPcROlq4zVEiZNULN57uQVJWKbgzbHg8UblOqE1TloVCwdP/yyYPAQWR0xM8EvkwWEyYKnHde2efB+fp88WZgsuhxn49S5oGDWelZ7bCSENInzNPDQQfqkvUWPioEn6mK+hP4njvhve2ZUhK+VaSAZfZn+nzjFlIsF7R00CztgHNupCko0sDDZyrlmcQKKGU7gEdmkq4/V0X0TR0amiKukqXMw0i5am9HBt5w/n9vL2xTA8KWaIDPJP5RWJ76NsYbE4dTFl3DohhvWyRlEbUo5aOv8MbXMMH195xNyHwA1ah3FQ7ZtLFYt9duB2mtCRUL/cQtdsESXtkKgKzCKWLJLIFqdYxnLQMWnJDgDKyQPIe+B6bI/nx/b+8t6JRe/VxLXLSMJlF40QDu37SGbElYqCqvdp5sQLnfF8Ji9V7LRd7hNM0ZYslNlR1/6BZodDWZMOCOvfu0CCfVEYGNdcgOx34dbDwwKmgy1/bv509MBElFDzQ27kKJxbcusS0xHczZs6Kl577cAoHMiH4M+tr3xAiyR60bSbr0jNWvS4kYMDyA023Bx16PIU4EPNqTAiLiBWbJmgxyZbQnFSKqTDJC9L0wYWE5xuEKpbGPWW4J7ipWkv8ZnrZ18Pr9vt4nqJURjpHCRx3Jz5xgUZPO4c1CEdrpPYblwnLt5YQG0v3iRSY3hYWMaAyW2DRdniy/gLPaMPjh4PJr/76+Wr+mKlnWzvpsXfxR8tswio7/ax3EFLC97Wp4Sxv96NjTX6YJSakt6RucXiU9C6pjBusIMc47Dz72f3xGhvRzs0CxSEeCALzSOmFsqH2ylkpmB6HBBAIJl3XBNH0XbKsJixjG5LyhGfT2LTUqSGTvPmn8af2vvtvYu/L/svd9f28ib0QSMyF0VSi+A0rrVqn34LJ2uUIttroJiYHg/hOe9FT984vF1a7aYQJxwyOI1xmVsOHJtYkZ+WtvxpacvPS7u+uQYNDQkvnweyULoeHg2ajGtknXN9MW2G8MzikyhYY0kOS1CLprinnN5uuSCBTM9zARxCau51F4Uc7hzmVmy5D4Hrly66JJsKMubAzj0MMtK4PFhV5czRhBQfUaUcWvZ0Zud+INqVzhfoiWmnnNJ19wZyyKInbS/FJ05FTCiXiIXWJzJlu/JqI04x8tLTtV2e8qUZaetzxXTIIc4Qm34NUvCWVwPf71ogoX14CtEVdGGQW07YhmcVzpGhXKbE9bfYhh6n8FqE9Q6ge41QLi6+lmfQeJLDSKER1E6FQrnFlDVaFYPKW3FbCAeLDR3sf4og2b8U1kNsR+3YkCBec7lC15JZHFqX0YHiXk2WMN50EIPB+NBZ09YnH1GT1/6ND1xtqcWbwN/6q8sBCN+8bx5ot2aMSJmEWIog5G8FbnOzb8+xXLGzheZ0StCbjgtVTRrv8lcwYIq3NxOdH90nG+XkpIrnQNIHHrh+CdNdTnU680uvRdT4Ets/Cbk4dRMnmt6b0pr6SXqPUsQlsoZ4OHV3GcNZWt9LJGXAAuCN0yufrfAv7wEKarvcFREOUz13cgvXmSkKkFvLNbq1WnromgQnFVeiPiRzjGfmfkM/QpMMzSbVXLIbcKzOoLKPp4/tp+tP7cPyIRZOMCe61UOFBxh8ms+x/ATuXMcWXEe9ApbVwlOa5yrel+sluH1Qt+j+yXXH7AHj1t1FC73zx7M+oxU36wP3MLblD0vb/nFr3R87mROKHeBT9tnVGwYdBQBszXRAtuS4r4OFXkYNnymQ/HeLwnVo3UsUTmKYXS7SDCSxuuSO3svATrkRlqWRMkLt//YBteir2KXvI538mgquhFB0vMq8nuKHerBmMSvVi3ZyOE6hAU8pI/ck95KYORZqt9FDuN6/MAWhYvAnuZcJ1kuSPM+69CuUZdebh4dd4fnmMpifV3nnFtLk+fL7iYQBIy4Z7XctkHQm3HTQeRyHpsh54IY0SImQIi4iIw5dEVplPmeK1j7UF27ixlc/v7opyhrLsZSWm8KJQWsaIfAzHcsZP7NbKBqQVCC2hWCiFEr+/SniHSyQJPSNEXgvly4T44oiYoHPbaKvi4ftEK2/N1UGdRU5GwrPT91PbsarQPLafx9+t2Pmr25Rcd3Blh7yMHgeIxAY6XXvzcsJDybEQsisG24WCvkpIih0UM+QdQvYOvhAWyB2sWgxED79At3gZYawXEBG8vmr3RCdsB/2efQPSyELENBFaa3Tp9CuO6knWlxlhg3mpG4Tx3B3pzhSJEvFIQ6UB5ba2/LCTLWQo2x2KFxjYzq60A5b1PBWZKnHg5WZ2VqTJam3slt0g8FPkdznXCLoLk4qX+bY8DooZrAJPtw+tPfT+8Anv3H35vfCBfRQxkClnUOQkGNpmeGaqJh6ax2RcozjAdcYmQM34ScWChxw0/upvfzxpV3+dGnbhy34qOne7XV/t7Xt/RY5T4dwsVGVNN3uxGf9M1Fr0f0wBqeSSIUQHRwG0LdgiVAcyVmavkzt9ksUKoo3HW1JJOnYKH4Ufv/9MrilEwNBwJWHuJPh9XVsNB8Yk2Tzo+sOckzggrZGWBkYInkzTFk15qZJsGmCGeWrf+Ryab8vv0v0p2Hg38ctnXuMz9klFZv69PrU1Sxls+bdHELbb8IAmvpr+Dqcr2eXccaRZHBYwQo1gXK9cNpX5VTmKt+zQNK+Su1Yk6i5bOJSRJhSoOTR8T1PvghOXTGcIUKuLG5ZFGuzJ85U0ibS9PoIUy+6CifC/9WUtH5OOTyXMw5fjjqMXnyojAO8QTpQyOaZRYzkjG9HREZmtrW33HYyKY3hJcfGmg/JziTVMe+2d1Eg15804bXwpKcdCxuugdzI9LgD/zMPm86vz8MEQ9klwHcXSkuoXLgm5ZbESelCAcz0m2wOMZ1dGORWpCvjlaM+cFEqkOTN5TdjuB0IG+NbbBPLfNcCwEjNobG7+J4p8m5fMQsGq7k0i7rW/LtdxE2gShmTcN29Hlxucw+juJpxpWssEPSoTFf02iZDdcHZB8qYh8w1sKhvKTt2EGh30wfQQwRstBsjGgBMnPEKrDeDqMTzkMBtB3mibOQ9HCuOFz7d2rcP2wd/N9cdrJmiYtf+TfxomabUGKm6K6loTj3LJAQi7Wt3a9ObqQ2fhjb/p7ld/7tru/6na2sfQ4NO9/7w9cHDxs070OvnpZ2/nsPb9BaLJZ1zki0gnEITwes6rpo6U8Qqx6kwZAopeP/8ZY5kTsbRqYvPDNwUgjzCjN3anvfPCh9c/g19PLNQqWByUJywskt4q8tID8fuLc1KoKeBa7LxH9Pdfb16YJRjuMFmfJOttJzuzlYYsfx1+Wv7cvsS749rvmzh88nPTOd5u1II9GldWJJEXmNFr+jtMD1bJBmvbTJy9yDMBzyHX2ryoHl+nJJuMbl99wL55ulN0DcSszGT5Bat63oKd2QuIGRsN9JtDUIs9l9sAnnYwYlQsYAjZmfmNxxIuHb7wC7duA0g1SH0N+EMf0G2f+OrzEip0ZA37Jzjd5oZVD6zHUPa/9td7bODzFFd4P+lD+upY9OFGPDbYCQ6QLzzktNnAFkXnDpcZLDToltlw/3y8BJbP/KhuaHgnFGoM8u68rH5fWWB5XhGUcmPoSgvLqigMnCwkMyXmtJ7rkc6mdzHm3a780y91i1H7RrdUvsu9QFTYOCG9Gy0EBE4tp/UWQucp0fnfckEZw+3nt1JIB2aEoVHl5n+qjzSAHkUIPvO4shyhCKot2a6OWkZl92FHQabX6IUOOhSs+5BSNFFAbFd3XiXHr5I4fX53w0qMgxOUjFOU1kIS3ImFzE9SKVVgVGx6MFejY6nvZqUSOvhwWCRNW33TBVNFLK7oxMtAxS7We7/t1vbPm1t/NPYtn/a2vz/mNv8h1m4hOJhgYa1cd234Xlo29fYZss7pAOkyGVwmFSiNay7/PygskAmeFja7c2t9W/7NrwZokgeuvj9j1u7Pd6EmsrQ2e/fo2C5+WVS2E+aQhRmXIR2r2kGsbks2/Je6iPX6K7vTlK7cM4Q3ZwGHLngoWniM+Gz1/kLpUwR+IdYgAm5JGxVkEjlPRUbwWgFIBOienl+hsEusj4j8dHrZIwK2CoNC1tv7ql7JvYQRtFloK0TEqmKd0uh71ggP7188q+1baUNr0hLbi47rukqNuPpk91jpQpKssXk9rqosOGvLl/Q4Gbuclni15aSm5STlu7Drg9wnuaHf4di0oJLWGOPY0lyKb2R5zk25MgJoRfBAmCMgl6QXnEoa3gAUQQwstTmV0OEy3LHNeTK4WyTAWFaiV17R0/THLd3YR/PtYFnmSFRPKB8aMjCGMv5oLxRMRRlJEUnCoCfEisVJxwijJroizHuAKZALQGHLbd46p2XTS898MaiFLlZTA6p+GpeT768rujg128oNHTnaKEPXdudAoYQ80WDnjABmJF2c4dVipLmHty0aziMw8czvW94jmKSEjdfE1K/NHqonBYNfjMqg4PJzww8EQA/bclYBv7W/SbNivcON49CTtdnRAIjXYoC5OPlss//ns4uvCYYFyxNSkWhexNLLDwdU49Nkbfzp+NmcZQULa8XRYTPFCwuDWvLtVr7uFPf2vvWtp+3Nv1xaus/roEtfmri30JO6Peftrb8vrT5l7mtz4GnF1Wrtq7cCxTzwiDvLt7cM5glE03x5tq2j1sbP45t92nXuvdd698h8G6texd8YhcUWO71B1VYxy/hru5n2dEvB/H827wn9wg5dakmKiuy/nLHIO9pgewZ0vdTyAVSNpSwKbJz3OyjRINJQp+TnV+p5ZykgFEqUjZ5oVqwQQJP2zKKNMsxRSmM8nyv8cdIlfMohs+C79P6KaaRPJB5zjl4y13dqQOdPhnlRYP5ngXy3fIuzDyxYWqTF9lNKjfU2iIudX3x/7O4IWfCERv7Ki4oyge2a5cp8oiTHGsL/42DTik/vDmRDdJpJxXFUQXuIwL3XAZUB1CE2jIgLcWK4z7d6C5NB9iglUYWXAUQmO5nvr3m5DBm5daPG0uC7O4kyO+2uj1ZPD0dIVfPQa6GfM2HoO6VIswpSBTrdnKbx02jZG6ILlXgOdPdNDugy2L84b1l9oi0j0OLeNLrZGwtpyY3qFGj87l9nj+Hk9AaxqT8DmWRdKW5NS+VQ4VG6e845WieaX5uUXf7u3qmChabcHHG/SqkUuTde3dIR0EuEHgpxY7/PUZRKomhxGJGG9CRrvM6Mp5KU2qj3aeLn1zqfN4+t1+6X9rv3e9+ZnQj4n3rNYp1EtNd6PE5g8Umtam60OpswaD5ndWh8RrBiT3wu84iKhF/TVd7MLFb+JK66UY5hIImfTU1PjgN7fTm1HYfd23+h7nNf5rb8o9Laz+1Nr4ZQ0t8PrTua9f2v+5b90vXbn+9teWXpbUvMUHJ4U0+KrAEHSI4m2a53PvI1K+jvEAWEuLix6VdP1zb+vPauj90bfcPO//KaN/eNUfx6efw7FQ2mDn0+897dwMS6ds52AGcJTQyELGBeDA7wRpvjg30RLfGbiBD4gwCQ2W2PfhM6EMJpAFeScEjw/4WqieuH19SqjLQjPtK131YLkt4XtZiz+YDpkuG8vHzlN3SFaaZsG5FtRDDqvBl8T29m9+1n9vPqubu0S5s71E3tZhiuceraeB++u4FUmt/NktQd5IxD2gMbaMeJtUPaQ7iWAPdARyPUzulh7bGGUdadv4A29wYjNgWME5LzEMZLU4B1FKIOAnEwOiKUkd711V+Q4jlQVTvzWaVDx2Kzz44iHZlwARpl1XbNhUAbJU58cn1nfaOPowMiurHUMKI0/EQXy7t4fgQ9mBTdG9sY+lSdPHBhANjDVLqtoegOWyZi9OlJCutoyjWHDRu+AHmty0ME05jhCcxxkGNOkd8AIWNm0XPxzUPpnQz0iWcwsUGnvE+M5DdviZuWdxS83luqZlOxY9aWrrtXeQY89pY9NjtsGAT0Qi6h3Z2uNpAZULah5YepgOGrRCxwZTAs6bowu9WdXQqKDkIaMqiI+NhjByeMg6mONJBSkMhzwXLrjngBItgBngV6dvFHAsUXLCHix0m3FTVH6Q18rJRAW2BvXFvFq/RMRGHI2JrcBO/RlCYXTJCBTKXu+DJ6lL05tC6n7u2/mlt5386t5d/fGnLp0WTYGGJL6c2/jpaGNtvrW2/b+38+exfSe+UQI3T9nhsp8MpmgXu/1Exd2yMwc2IK37e2u3rzWWE0szPW1ueFjvRSupUzjuNbXkb9Lbr+zBmcRN/W510WOSYN58OQ4o1hqRlkbJZW24mt3RH78vMmmK27CKCdnuIrCi26txPaXCiLSCdJi56azgmuXPA76B/Ncl16cqzAcyCxLMlvQmzjvx53GOaZVPcoHYlm6TuJw4NoDGWnDRvyjfHU2CVGdtwd/JPJY51i0MjqYHftUCaAnhYI2YTmkZiOxoisFlNz7p7uBUbJ8wOwCvhjWXR9mZvwbPjAQUT5EG2JQbvSTNUi112Tz4ILCqhtWTCWZGh/cPWka4v/54SOcKLbkcLGF+VmFf4gzQilkVpwFkphuU7SXGFc8YNodnDPh5o6Q+7RVL89XRtb25vXkcaFCNThMGX358msHACM5OnOGBuy+mWGbNre0uxR8TBWHWI09KtPVzOaWrXl6vUDgq3ozROM8TX5sZd/CqLRo0sjk4cNHmA3MOnMh/I68X2j21oGVjALUzSvp9V5npXQl0R1AHJ5TjSdRGXwTdeoakzFnPN7JNasIgDQafJACuDn9L1HV9MxnW+5X2mMUTJS6EryYVlaUIh33VxkCQeWXJGc613sZXX5BUFJNzHTMVUmgZOzTKDw5IDfOm8Z9jw89DJfVxOMY7TXcIThCqFFvg4ttOHU9v9adeW/24Rc7z+dA15HZDM77t2+vOp7f+8b9uvuV1+vuk+Ty47hQraFNfKa0QQVl57MFd+X3X8Uq26fRh2cMBcw9zWIpKWg3blYIpQfT51bX27hrnK26mdfz6388u5Hb8e2/Al9OxuuCn2SBoTq7tbh3F9UFcCIXWhUpI21Y1eX4sj6hbUSalcsSnijxTD6N5lA8yhKHKETgmqlniZpV6Hcm2bheTGfTQP1uh4fzYB80t7vjwL4XGQ8Wz7WcHtJDdoTAu1tDjEl5Wpj/uDn61clnsdl3j2AN+7QBoBCdfwGHxDCwAGudSfzGOpXAgF/3SVmBEkN8oLlhtKqSXfbLPlQl3HIJFzcQuzomjsYpki1YbtKx8EF4GlTgrjpZOwDc9wdovAGhtbCqQLDzCQ9DyskeKezZ2mshXIpMMzgUY5slIs5VtdQ//KqMdNzbhjDEPbh0Infyfjt0WvMNvsUCsDuCRS0pTKJRmZH9+Qe1PuViFe/E7lWKeLP7siEyopTweY7lXe5whaTuhpQuEolCapd1OQJIhbcOGP4dCSMRj6L1KUbhcXbxQTOhNu1jpIKFg+bNx4LRQQ4LFox73R6ei4L7JD9SHkMEk/UHE9CjGLIQjyh/gdOqcTe0CnMIXhrp/lbR8b3zT79edk0ee9w1HFTxF1FFOJsMBlbfuX+HfdqnvJU1qYMlZ/FiyB6RSMhXaUgkL34piZ6ibuZxYjYI79z33r/1Pf1v+8tu2P0Tx4eP0+tPFfxrb/130b/zq2+fNst+eWfop4DlU5+Aekd2KpdWQ4dHNY6KWzDs2GlnensLxTxMAml8IIikIa5udX7iTdL53s/H6WqH57f2vXP1zb7mnXxuexDS9D8HDBavNaFCXHJV/BCWk43cpTFa15eorWQaPkF05z0u4UbnAdOKQhDiA+wC0KvJgJAxljH5hiEcNLwQU+6iGW5rZGKZPiianG9KyxMo7lxN+q719O9xx57i8zbBIXRiEH3EVnjmMQh7JZROdzYOuXv0MHKU0mV/Gl5SzMyo4xTOhi5l8PvnHetGayXZBOyypLTW9iHcUBBPepzqeS3Cqb2O9M4SvLKHGLdFR245eBUha6KTfkjNtlsc4HmK499zAhdMsUGj7EtOzS2zGpBPql5u/F+47tn/Zq6bnIuPNyCAMIaUm8p3V/JxjfaUfjLM5V4L7LE3ChIZxRtJTCvOOajtDz6sKLcQj1jFGvKHpIKTwEP7TcwHntheGIg0JrGYNaVdZXuii1MIN1tGKZhab9sniz8MCUx6P807Tucvy57MU+a+wuOzG7YbiSOS57vTj44Z0i4WSRw5aYopsO7LUgq+Ckcgp3lEsH8roWYFi8jjJ/oOjzTWEwD51uDg8AvlMHTYHGzf30cDLOtxZidIQVMO9h1edhBW7Ke2B62IKMzut2A9senIz43DigKmlveVza/PPcbn+6uZC5/cOtnd+efXivX6+t+7eubf+ytfUvqzQeRuPr+RqxGems8612XPerTLakO6OIsuyCjG9yJawFjGCP+yhU4Plg3LuQzCqvve4tgHJhydCG0cGh+2lt6+Papj9MHnRMHeU4BAPDg5MlZhY/KXFrNglg6PtXU1voaDq+kwIJnYzlEjAmBy6NBw7gY+SWi6MivJiTvnWdwsEfNUvWDc1CSrdO8BxmMRj4pmkyf59JAtXV7+vv7Wl+8toIeeE+3x+1F+QeELJDwgl3MlMwlTDD2sAom8LNAcc3fFzibr93gRRHGiJP2HFxCBfkypYoIq0r9dsYPnrTNcZNts64jPBF55JuKYyjEnaXN6FqoQuEFHuMxQH/XmmOPVEhXXPiramuIIMDlxzwJ/iS2QmaF7PmCHLMU+1xFcDWR26NJD+3XsjhtlliteA1284xOhsZ+0gW5zCuMO+ZpEEcnRkNENzj2pIRrHYoSdGpjaAnWwv6Dx8gRZIPTaL0GLZPReYFT5J2k/prulYfPEZcim6e1DpjH4IIW7k2LgUgxHMqE9w1Bt1DLCaDpzyZ02+Pwjg8DZ7Idu5ut/KASscX5WSE0E+BT90pQf10twNzZEsCttJNClVSoUofrG/gLW5gFyXZASlBPXZ3fTqF1cODcX08xj+T8kFhigxks8NEK40bDoT54RgUH64B7zOJyS6MdvMdi7Lr4cBN+hQHj/cX8aRJOQJfFG9jymAjvMulIBEZZIS/79r0p0kSOF0k1Bq6aorj9OepDf82tNtfbu36+7V1T127vFw8WIUohuAVugRjiZh0tFpYoFvmfVEgpY51L/G5dOGm1R9iyysWjwySMDEcsuEcIz9ECnq7BZ2J1/rYBYb/cywnamqzsfh1dIlkzC7UnNSb66sKhWl/C2chMMp1lEbzYf5gooCBd3BUS8TAAi7NrnGp0oosJceS0MBC4VBPAQ0oYc3mQLx4SShlicOMWsPzB/6My/4v8y/t+fYcCz8gADjQTEQ8B0iQ0/C5mBJF9K/YYTXwaXJchfO7F0hmfsfqCrWCQM03OEVmQbjdwh3l3Nn5cKHROTP2yPVLayy6IT0Q15NbKra7dDdyHVONU6lzFFa6Ozue6+JF0nWHDI/xTTgip6fi3S8Qci9N0X6J0/oUJNtK2PPUTGyw4mRl7+NscngJlyIwLvzuaM8vEYnJSMNNqR0UAVVQbjIfRMI5mS/YiZFEx+tchiiMebqB3XJDGOGy6+12+GM3mgT8KqgGGaHUINv3G0VHOVdzI3qTPYT+vKy0Kg6DMR66kXBDWtI5YgOQ39bgORI7kYwCO7lM5PO/p89gOfSUl2QZ1fqwg/W1V4MHP1dS56bAHt2Gso2dmg+HcEH3cpei6fdHpjG43m68L8M8kInh4JZhWZeFnilD95gskL5etAJ0xokni4nRIECTycRN71eKMhBKjmJyXcvia93sGL1O2z6WRyzSeH+HyYcRPItrjY66/bG1+afkONKNPLc2/Mvgn/bn1qbfp3b5ehFrZJnH9GFBS0WXCwm243h3zom5g7Fn9yS3cAz3JpaCZYv2eHj0YC0IRbs3Fk6M3XMYKlNIxHUftta/7+VnQv8RCsvPVpf5/am9/fVtOz4FllfKoBI6cI0aFDUsAKd9+3D50P5w+UN7e3vr9QIjpsNzgYjLfJrHCI+xCK2sGeA4sPQ1ilT5COisvzv8TQQIWDjbaT4T2SLDU7hQtS/CObxvm4/0ii2dPp2ljRFcYa4JS1mWRPPlrqDSAu823Z/9714gZcRn3Kkt7RoUixLrc/MSiXp4Pnhy8hCq1z4N6k95QHXV6M4RSN8t8WHn9qpCd/yqJLnktakhfhna4eXgiMDWCjPZd8d3bnpLAWIrTVohi6AtlBEG1D9sBja5gd8ihU/ZFMWk9MLdpZ33Z7E+3aa5yNz8/GcKEN/tJML7Pgipd6ghI0/ppO1Gb8+ehHAs+Xc4wXgga3Qxb+O4EyujQLr0QNYMEZ6HOWMoFPJTYNIo4n4j8sDgejKc7CjEppZJigWFSHXM4RY4p9DUHGwCxjn+k0R2lxjQIcAF0WWfhtY9RNdRuliXN1O4VteyxJsRE1T8HXnNkIm5+ZelPU1PEcFLlwLGm76Qbo0hfhPozpKBZ5bt+m51nOeQ4cDUL3CMEUqAvl3CFg0cO0Ps3dLz34vxsEZ0KIXa13qLyAjMUQ3oonAm6F8h9BV1YZdGYiL3S3b+vM4aAcvhXlzzQ+dIvf5hbd3bwP12n3ft+Odja/+1telfptb93on1gc3xOjjU/dzkrEfssFncKE5YdCQJvvw4ZfxictIFx5jXxL/zfvferprrUp0inzX//NMYVnz887BKpOY89G14P7Th3RCH6Gm143WROB/sCFlAgj/DjGA5xMJNlRwHUjoR9cBG16AsnS4nnXzc6ieRv5Q1Nf5XZLJ/mC7oZjO7qIyieZ0qqnYxEeggns7icKQ5UPjc+QxdNgEtwUHNrHGuSZHXxfAzxrXgNPmOu0s4yHOAkMlDNtZtDSybfJvvXSAZnVQp5EaISvxyeYkkN7iD51XaAYC0Wmz888ZgsTu+4CtIJ0qq25CRA7vMucB8InlbZbhZpFRGwfFpbA9fHlQg4BP3cf2o4zbd592XcgwTUcnhtyEyXOCTAeQjX2LJwJof/IkPFxJx9+IF1mexf77HmtqBJ3m7DCG8UQkRaq8gs87c/c7x593+ne/XGFG2gplpbFBVi2Cju+szHec+AunBltyikr5IMsIpSbPgcXTQ11BylBWZyya4oIfBf19jU5x6Lotb0rhngtumoUWqeCq7pzTtSuMw+9X5au/NOjwOmicIRaTLCjCIHWz6cxacIQSSZPCia+gBmLkhPLQW5352W8o1oOuABWDg1txZQKColJSQwvrh+KH9tP3kIcT7/tx/br8Ov9pJcBDW63fZxci+0Z5GkeGeVPe9m9vv4+/ty/gleLoZQeHZm8s/sdT+ElgfKqvcZPNzdKIZB+9dMN3T8dTGd6Pcw+Uflrb9tDlOghn3f+3b+M9jO/zzoS1/XWwOGBGNPMAJZ4pEP/H7HA+1pUtYRWloFmcOG/OJhuc49PcRJWwAGiFdfdDF6Py/Pn9tL+cX6VBPuycPd2hSHIo64nw+tsNfDx7EHg6f4pDYv923/ad9G34bWvs17AAxhP58+yycY5wDUAXP6xCCAuAl7hEOHNU24H5pD2eTkb4GYt48y8hAt8ztSblsKZ3EXnH3pvhnhhH3GdcZWMbufV0jOXI73/PRaQqcKhNz1OWKTjTlkLUYdjmEMc4uIJTyq7QxWoOTXPEc37VAiucVppU0Gke0LI63l1t7eXnxxJQ7lqoXbbWSQyX5k/GgW+8uLRavlIE5OlEgk4rhA3jpHQPG38Z2ej6JV77bvTOXFyxDLhtqk306scwhCeOimJKWtvBusrnYGSnJB1MPB6cnZGipR8i8puGeYChZHBA6Ad9K0VOuCFcrM5mVsFFMMbeFqkTBx3MQPWz+M5qjYmGY47gOKgkeM/4T3+BmEBMCvlnc4NyydveixkOjCcdhvKc1KmVjMc3o23UeQkIAmZ1dxVUzYsjQkMR3k1k6/hw24HQ1pzHIyvt4mF3uQH2ZA5+SYwbWmI7wHmJ0QssQOHLJILsuFnOMQf0tXK93k3xNb3rgGdQ9oA3XILHXpho3dsjobKRlO8yRU+PYRSFJfKkWPnbOjP90+yiixlhuQZ6H0C/BmM9tjFv9W96sOGu60ddiTOck/h02tYfOLl2Vyseubf+wteWPS1s+BOWJ7TFY3u4vu9Z+aa37ksVRNCR01R4sKK/gUSInTCsxM70hVqMuA5/rI5KWw7rEBkxdjK3i/F0uzW57ser1aZW+4wC6/xJZPuCGuA9B4s8AMM0igJGwAHyfERWnTd04/pg8MxgpYyABI4EDtzwCZp5JnI1IiTy+6KCPryj3loTzjHSWNzyE4YsLzznvtUwg9J5halp392gNY3KXaFrEBNNshIbHAps8aeGN8eTrNsAN8vkco7qTT/+3Vmma1xCVkV2lOd98l4H0+uyz/t0LpMWDmzKdox19r700g+kp+F0UTDGlNDPQ2++QIT5pt2TwErQJeIt5oWzFlzArkDvYR06FciPwrPPYTi+n9vblbQjg4Tex3CDciwvCxaBLSCcYN6Utlw+09zSFGX8KxqUCoA9XZrZjX5evYhSaOixJMj9Hlo4OzNh30TH1aSKR+lSL8No7UpfWG0zUrShbbQorqX5QNZIkToHkdObhADux823XiETYv4iV1tYQrhzUE25YMakxUhTrAbpTdSCFww+UBhZGEKgKDAXLgHq15XTYmGjw2uniclTnZ8mJO/bSuNTyzjnCk444HC2idNla1qVjSxmO0NUUx41rIC2JVDyoYelGDUdNiRg3apkhfOPrV8FLYnKMpZnQx/UzM2aKvBILDdeXbXzKPh0555vjuxgYdJlruNnzmZdcrUjE/jP95n3A52IXlHxQ/vB5KdNrD/Lp9m/2bf24alM2/TRF5/0UJh79U9+Gr+HrKZ805Zcu5MggSoxeKhq0F7bM3OP8rktseaX5YDuX0bUUNd6/B++6hkQ17cXKI5KtNGMjB7WfK88RMAydNAcjvM5170isoXHqyW9vb47bl3fBkwSK4WfwuRQLQwI7eTjdNcwo9lcLJLAEB9/j8ujPF27huqX5CX/PjXUa4Or6k+kDZflXz6kjN3AYz02G7wFvueSkGcM5vQ9bxcrzKRK5i9TyMWDDD1QzrHc1zp3yl3ioOGemIVqPsnv/rgVS0m76JPIgaHaARdPl5qaObSg4lI4qFJP9q7MLrb9cpaTr2ImywWTpw0VCRkexgBxL18cbSHG/Omg+tCXckHWJGXcR1Xp8JVubf7Id77Inxhpf23yxuCh5xOgXzSgPS+uCY7U9ty/zFx9eOiAzd6ZDbNOuGVbOeArWlcagjA+cnjyQFFUWU/xvrs/H8WNQCzIYzBOwD5MHCo0eeUghryE55CZTHTs/hYh/38U2FUNdku2mYzgxpx9gyTurM1R2dZ2l6vDv8PoZVzCL4JpIyCbi9RKLo8KBwHX0A0w1Ew+9dld0li0ezrIj4zO7K4X6hCnStVodb+b/8Np4DxwijFAqoKiBGC4kw8BFREZtuIFNZYWk9zSneLo+3RdEvpZ1J/ZbOmo+f/OVx6B3mf1MN5JTg/6CXUQ98NBwWPD6ynyhtu4+SCk7VV0y5TXsI6OawxgtM9vglw8v8h+l+RCdcRuElFjQMKGUnlo6EP/hAMmpy605zw4HNv8OZxuqHbKjEAakn0CJDbzn+733DZ+TKpe2RSwwXpgt8sqZKIRcjrHkknd669rhctDF29iC9THYAafATSGRr29WteNgqeu/rm39ZbXQu1jbhdaePz0RtBhysNTanx1bgQAqWKwiQiza6e0KnindKE1aPJCS6VHqNZ9vh57IibKr5JqQ92RRCuGChyYTQ0WZZPdfBhuV+yNez1epqhL6KfVOUQfZQ7CYKzrQdy2Qdo9JltU7Dm7g7nwPl5dcjW0VWyukRXTNwxDFkQeRbdIczjTyt0g25LTFuGAKMFu2PRQawtAR8/M7iwSe1AyzegG80zxTMwL032y2kyRt2NZyjoduSiB53UIHyjdjMNjPfLOzooPkw2M7XfzIsiDz97e0ZEsYQA30crZz5CSnUMrZg27SBVZU20K3o+BZwyEwUO4qPk+c0ralPZ+fIydj++pDq/sI426f6hNyaTJQynEtb7JyvilsS54fo27/xt9fSw7VIsgnpz464jQSEdvCxxPQnM39w2z4mLESGZxkMd8iC4VuFv9EFiGMyY5cnPhpX2anjykq7jQ5fle+zT17Gi4muCbmt9DBOCgyslWDC7r3dKGRusSLzEKpc3ryFaXIsHnnUqbhAw+gNzQP+bQPn08O1jF4jeUybvefdKMyZnaDTKc/7+RdAt+8XcONiAMOxRRjKQe+RQjeKMbxvzV11eDkRonQ9YLH8c9kvo5hdIy3jNm3LMQsQOAgcp1SD25hx/yW6SwznhkhwcW9PuOtfd5/tmjBUHg+PkceElDhMeEfOMW3XUQcrO+l5VDoWdRML9O9OwZnNlfpc2vzv86t+0tnR2xXTp78Q9OE47RPU+z+6LOufV96uFaYl40PUQu49CRdR+oVWfTZSJXpbnF374ckB34fnTP3PfeRqiuyc9IFvVgH91zzNFI222cffFa7Uwou17C+M4umeMjGR+AHuw8T7+9eIFEQwMOC2kBhojMDU3JRc4n53huVF5JaX0dTPggC6TiJMFCgCObIKYeRqIHbqoTKhxd6AFgNDixDhMi7UWWJAcw0TPftFwVHMLdF4JAteCYglrGGBhXjfPcy9ISH0z7NgtJPtye7lrJI4uR2GUX3kgWoqBgUeJUukN7Ter7CrCrgCAxJzGgX2cf84fe7vZ9fLKhu9nCKvgUAjlsO/79RpKcopkqkdiGf4sYrhYOu5FhRJeWqHFm4Kez6tlA6VPpd4XXezEgYMe0FL6LDYYO420Lid3qxyxA0zxyZ2poq40N6t4bW3FS4zN2+E3RZ1E672KLndtHUP7po4I0MUKNoOfK2NJBIyzYPDpx1WqgnSi9diX5VYCv4nXuPzp+Oph5MTSvowggIQxNOQuMSGniLLewv6FCpXnIMS49HOjcOUDwkie8lroH/zesvfNrt/HknAXz489CGv8SiQ6XMLUZ66Tzb4d6B0+Vxf7kAuoaLPl/yIXdDRN5CqcpDU79CcHO6LJYrD1EIdLPZRa4619jgM3KSDrPTFPcsB/zb7q1cReg4dMC4x2PqYJbTLbozpJI8Q1CVzp/ObXm3tPW3hKWISH1YvBcOLFm3g0bNfEaY00qN2tKhPiW2pUYyeKvN8mA1uAD7ZGrAko4AtUxB5LMVM8QpCbwQKCUDtjxsYUBkaTJhAByT4mpDmNTCPmlETAPQpDJ5spaq92hpPmvqB4UfCPMhJJHfvUD2n1KudggSMiOx/LfzJSR3SdCu7rHaXS2PUCAAviYOaXTjlB6FLESucSrrQ4eTDUqBMYxfgz65hiM5gG7aM2nwgL0a5rQZpiVxu4VdvMYHh4unrHnWxwh48gHhel5nFQ5wHMFMKqcXwrIelJxO1/Tjg8BN94JOO0nUPOi8fv7KF0XNopExABTI/WnvzcgYpHHC+SWoGein2Q5uESnLze5Wf4nxDvoT14GHl0KgkQI3WkV5ZkD8tyHp4ljwFbclxn3wIQ4Rik92/VKStn3gNDwI+4iutTsoEncfhG+vPZ06N9bYlBA6Zq8wjyPrW40s312ElVEgtYyDa0oyYztEJDCbf6RsS1hdme/SwpbNBU0apZrrBkVJw9AWm0oKI5Z5XA/Iv9vsNftl+0USsaYUWZCVL/YRY+qoOEQ8RXFLNZdl1E86j4sCsDfiFOCU7tO0g6UadBwKbapGgDqgsSFbZCQd/zJaILtfu7Z+WWNJlNZdxgwA6SB+2EXODYexdmvY/DHqH4NfSffnM5MeqT4Xt+TFYny8j+LvNbIxDyd1sUcEBF1seXndTCvY7vGHz4mOWLrRORgOmJ0w0luIjmOb38z+YTno9hvYAI8A7tf0NjhkFDLXQGiKMLlUt92ds0ouCPTDgdjne2Ii5rIgE56D98m9I+uhD0u1MrawxmThk6VBtC5vOe/zMiyWsoUJc6qgSgllHAiwRVnHIeggM4e3DP95y2eAsZ7u8nsXSPSddllpUCs+kGt6M21xIuY91dqdLXX6Ntr+ZzBRAdQuIdZDYBlwUtN8V20lneCY6/pjtMacaD60dNNsuabQVup6DXl/DMoQDxgPltSH7RyphofeAqmtGBtmwGzGopctCjP6T060Y3S7jPFy0cbLndIE3eZu3ZVeiLyHSgf0ARv7+HfHa9Bm9sGho2C6RJhe2ufu873j5SRmtFaHygHDyQfEkOFQgvHXixpwigO/g4fABze33C7L5ldVhqMmH8WSfo0tR790Atf0F9cTXtd+dvFCh0ymhxQaYjSBNBiPuVn5vLmP90tonVnCDX1syud4YHT1vs1hEXaLzw9+p6oPZIepdCnjCuEA8FGA9v41hVCQnUUYDuRrbEF5TXRHdEMcAGxRvyxf2m/rb25wHcUpoCiIoFKNXRiqHC4xpmYUquNcOq5Lkq+IVzo6dnxjXvu0cVMCip/lfLCoGV/wlLzcX/vW/RZjNsa3jNmyHjB4pevaxx8P2f3sAUFYlhARhZpCkIcU97SFn9eUEkjzjL5xN3JjCwk6YynuMRCpqdf1ph1U4uiYjjM/RS4D7Bivb19uEthZKNlN0knRoR7Sk5Rnl+UbXR5LM8QMY+CSwA52uMCmUKPS/9NiBOI172QfyB7B4g63reU1PqUWOT7b7ZUWVlBaxbXw5eFFhMpDdIXVUGlNyIGWh7jFEdkgUwDyWCbNcvxx4l5ixKdJ2N3kVtr17uMw/O4F8vYQpgh3I08888DH2JRmZIKmEpk9Xdviu/VV37kMuDsFXw/+f27AMg5WWssW2MG3Tj1uwVBUYAVGh7LGiM+4yg1XTH0vWiYBsu3FHVzlCngbmAUuMsst3KKJP8Vy6hJdhnZmy6sbt6qE4TmUMVhf3aID4n1ryMEHTpofuuYc3TU03V9DCTFElIHb8n6Sz0dezdddFETTEzN5ziKLSS7PKic+ixOuKea916tiff55HnK+JMzisLLmqQwVcAl/Rb5LrVBdpa81DwG7ZMaPIQB06VeEhr3EUo2kSqEQ4Iwp+Ga8dvNBduHLWKHvOlWnGkSvShp+3NeHQ+C4mYctRy3jTMtFPt5IGp1kkRSPSq0170MFRbt4yL7dvY2gtHYTM64xj5tdZkN/ursfMUIJTWyXONy4r7DdTyciHdO//UNh4v7FGIWtJ4bGyfGjmPOQY+3PxAF3E/NbrhmdGQcsEwZTkGYOu9flkMtD4lLZpB9PFibzuink+/QB7TLCNxUikvvpGTgkdpmMyGL0li44QCSXfRTcdEhnfDVpk0A4ojLw1kRNw2jJaP+8tvnXWX040ED/IRcycyyChEm6a7A31mxowMB3UXiFwoB4WNaRN08zgJBiCVMVDkaeZ42xp7im3I+6IM1BzSrHIH0UcpLgIHJ5xbMLfMWeAawR2SJ/KHq5PCt8Ww4s+HH6j4rLp52i8BOxC2m6ocKoZTopxPLjGjlQyCG/d4G0lSejFjcZNqZYQl1PwY9LN2wKQQG03rQoI+bgVQk+J24gUMuYSr50hsnrap1B7bUUsXPE7osRefdqmSZXMM123WhnnGqwRuIi1qbSmwTdcLoIgWGJjdB5bHspFJKHqQlTypO2RZkT2BPdiKoVXEimiN3UQCE7IU0b6BTAZQ+XwOXaNaAC8MlL4Kl0PmJZ+yAu1wa3MsErllK5F7Ze4INTuPzYHSLp6oLKIFeN+EuwqrnzJmVpxM+HoM1rsSuDesODsOxVTdxH3C709HbHt+B88p50hT+FDle88xpkaA4eDhyJw+Qwt/1dyqUJAR1WQia8J5YbYn/Xo/QXF3EZDmYmMgcCYybgO27pCfhX8qGb/fVJkwI6bgoHDkEaom6975UvDlgWKu/794oGpP3gQzqmMW7yDuUcZlyFyi9CzqAH0UFSiMZrFNWUI7qEIIFvuHhfSabme3lSrlbPQCmt7h07f1J+Wss9DWt3fTscD61/jMNBKGS3CGswqZR9nCoUYi+y4agNrfcn+7BpkLbDltp7K7G/iqOoJalMgzQS0dziedCXEsd4iOLH09HcaZ4nGRvdzhheceRrdNB6RB4Cj9ckJCccMeGU8pZ6y0OajK0KJeO+5dAkxqMPSloF/CmSmNMophvvscrAdWKNNA4sYqlMjNhTTG+VLKnpM89yOlGZ3kj3yRRA59znfUYdyG9Ne8lXB4bMKOPvXiAfbg9qNpH8wX10pPimixRAz9wOMCaIw14E8LHj325jayx1uYDMcJ/hTy0LW4sTvFxfyknFET8XOXroHQe3bZzSfmCMmLa4gdXU7yk/QkebxLuUtu1PQS9aQoUDPijlaD8pc2L85DRmC81DQjGlIFVX7I3DOMDJt5uDqAvOwUgAYRj5IEbC4y3kUnDbCLQ/nO6xuRQDio9ZNrjr4IS9nmMbnCNhpQX615QA3km5t5BRQVdSmnW8hAkxrt2Y99LZMApvoX2vDaljJNt8xpNb5+crtkTh2GcHheUam1eMKsYtUgTHwNC4VixJPl8+i0OrsElvQYo/v5OFRm1g1aJnIBXvW9dz6COoP8CQmTwYwZJELcTRgvd5dxtvN7sXrrddWgsKD6YjdLal5KgRHazX2wH3qCwg6vZR8aBwWV8jHiqIyscHWezYXFwx6l0frx4c+pviYp2jbm2uvUfh+uYBrMiBgwsaHKYOMDvI6jkdA39ddt5PKFMq68VlJhg2HRIFHtMW7tOcsOzSUPasj+1heggMHCx+F4sy3rMUrlxoCJGkRyR/xi+j3SOvAaHFh5cP8lyvT9f2dnnb/tL/xanJInTLXcISFUIYjevEwiS5yuJ+KYZwOUXRopOjc6O7S608z44uS0BDfGa4D/VB26sFnIbMPIPwLoHlaJrAv/tYPvG8mW+VhiLet1M6yiOAQC1lnxVWdbWYLGci9x+nxUZHwx2Y/9+7QP58+zmoKdcl7M6nGM9qjOKX2tZnZ0ZxdCHAd4KzZXpbXacP035vW89DDb6hLprcCfiL32RjV2IZb5IDQCOKU+Req4yJ6Lmw2CpT1MQmJJx3sQCp7haMkBOyiNQA+6UtF/sDBGf0WEImyJdKAIKc0hSYB0ku1i7kiT4g6cRTWlzVBFicHVY5oZDcoV7Q+dAJSioeg4ArZYqTlNGb7o6RkG10ZsvYPXKTgN3iHn1ZdJn+On21w6EDNLQp5Yrqe2FLEC/BGDY+ROHL2NQyn7jnm0PDwZeQ/PD1Jo1Jfia5JOm0xL9votz63L6uX+30+BncmGVX5+UCS7/lQ5ZST700h9vd0cbxh6JLDgvFlVzsdH1S31uYN0s+yMTkmacENcCbo4eWrzsjOdxes23mQISMD8aYeHlJzDyMv4kPEeb4RqGjlnd/CbXJx3O7fryGCoWO5jnoKfoE8D2kRHRNG7acBLTvw98EYcEhuv+653TP6QY/L7selEAZruYDTZc9xkFy3/4zBbSHsPqCqUBjcYgMdaCdGlV9L2Bxc0QoyGVdHu06x89j2//bvr0b37WP54/tw+mDKjgYCtxfvxx+UeOtqugSqiIwO6YecDzzbNYnDx5pVvk5cb34Z1y2JPWKg1bbupTiGuA1p+sXI3x6sZYLvNNfxmHIh05bwzJQ8VrQkABLtMiLv7sPYTCcNn3UIe41sWd+5pAFkqaBSXJJ/un3LpD/ePlHCwdgp7ImAHQKWBdyLJPeaJdxaqHd5ZRNHFHS9nxznNMAYBlegfBDPPgm5EHJ6cI5mo0vW2QVHdewz6K4gBWay5x2TLVlFcNhQ8mDkOBu6WspWPw+iuPb8W370H+w1XYkZis6Pt0vqBcQ2324ajzI3CSoaVjKZOFnRFWbPkYHqeSNSMyX6GCN65wXuzvetwFJuNwQtckNgn0XJ+Iu3F3YEFN0HCsvv4uxaYSbTumFZXGdJLIvUSA5qCDDs/yRD9qHk48SThYra44aFMg5omtdLAFPYDpC15HLHw4eMbTu6I1GoZbflhQjOamMTbj3VHhSF0YCUlXY8pcFGguC9MzkIeVgrdxpPmNJxGwp81Apn9Gy46pMYw4DHizt9fh7qfUW3shDuagkmlgwKQBt5LcmEemA5MKAzgagn2+03Kkosqil9JGfpW6fdMt35/b86dmMl/6niI3AIs7r216J4Qao7SIbXjXPGpihWUjprFXw0X2xyaSEUTCMkFTy2PFA/qfLptDDaOgeYjyFBYB9HNeCa0URPW1uofVtpF4VVY6mguXKdowOe3jrfSMN5mlop7+eLJrvT+9jsz9tmlzAbaVAyk7BjWu7emgDEUip68N6j2vm8iSXTYzQlUoIfFEGzj4zLXDOol6Vh6mKKpGt6EjvXrDV0OTEacxvynLv/x8LP3BtjCvAbROLrK22RP4hpgkNmIky5npDcEcaW9aL37NAfvr6yYumugS3bA+LGI242V3bd7tg+FMgbq8Rnj6ogNuXaLn98DR9bNJq6s14s2WspwuLW6obtjAThajMTefvoN1fIhVP7KkPHpa+kciXUmpUxhf1wIFV2b3hxjMM7Wn/FMuLzHBWibNskQWN1nu53sdqChk3Gzet75dlBT8eNRDuQJgTVHRpsfvppLKj9XSdwpdPlckQJiD8bKVvY1wT1SFoYLt0KRo3JW/8EadCy8zmGokhmBoPVzoZ6TLNn6S9SBYfAjIQp8UxZgpbMqlAQ0ju7FjSaJTXW64yEuO3V9OBcvLh+gkn7MPN2XwSbtgx40zTCNZ8E/ZkmCPXAg5D4yUT7MCfE0aw04OqAR9w6vwddo8UDegdMjxi8jAThY06emY4crm5VGLH3yd3ORU2Uqq6872zUYtOEYQSRPdBQcMhCAFEH3poRQiQ4d9cDMM6fAgsnegCQH7HQD7iEnGwhMQlKMc+s4jAC6/BJSxnGQ4ds3ygoiXLotxqCh8Fd+Pew87vw+6Df/X+zI6pCjzTggu95OVKpbmFBJjXSnctL3L/Ng4+mgk2+pd9233ZuUfgfQiHQMfbN5dCTA1AK0Mmh7pIypjXahwskCwLx+QOp27cjTiDSxpWy38ECqDDhe/MZ8u9h7l1LuSMg/5GAGD323ahmgOnZ6pJsv2dr8w3Hg9Mliwa5+2uPvOgpnAO0bR5necpPC8p0On2/10LJPm6lSXsep43BT+J5Uo6gJdLj6cwfnJJGNdeK8dXHgzNSJHO9fswMwBIZmxtO7szHWCGdORZRzESUwHbwz22oSR/unbTIfQBxpbet044cc4+Mz+qnadu8UByYw/hfMPoYkfCB7INobLZnqOTWmNbir0aN2tl+fq7k6LEH/EeqDds4E6hSqjib8Ilp3W6l0t/IK5hiy2smC5LmjVS/bS7gk6BppeCs1vubt1lNmynDhVlC8cdHoxSFrj9YzsMpndbYvEDeH4LvFWOHq7nu/COFEftZzEyzTHSbKEsrbyR0eEn4O5BM7+x8JhRBE6W4UjK6xgVwTTR42aCpZp4tqRzBJn50FKMr9GpaO6QmKgBZkNkcEtnyQURr9dNPJ0F+Bw1ikXWNxCLedj8dwjvjIsU+vUWFBjoJwD26X9Z2TtuZTHXQL6HSfIWnwP/HRjodDqprgHDq0PBkRajkDkPwdzKe4+mcYidEAl/NKhsx5fJERXCtWYP2fWX67WHANNG2wmJvBvetffDe58R7muWfTYHqQji93vvsR+4BKeYBQ7vVfArlVn84XUrZSUG9YKsJOAG4RYODmCQ/YsTjPS4LSCOynDXH3JM9gkjfqqFjPrIXBi5xhTpSxQ7o0q2zNiZQq9uR0jHmYe3o3UuxpQsQvjnPUDHyRQC1Xa3xffF86wf7Pbm3sDwLOFbYMc9hkzSBS/yYMbwNTxouf9N8/zeBfLLOSgX2hFlPjAPYMmrLAS4h7OpzqJYXYHUC+6f9RsibmZai7Gta8i8urjwPPDlvq3M7HYyHIsHSx9KTlFONEbEDKlSkE6ns76a+XojQNrF8RzydzqHa+pAKmA++BRERznG8KQecSMjsWNz6T+zH+zgHJPnPsw1kKrNGagF4fwSzjI+OLt0xcGmCQghA5gc5bLz4CYQtIa+w+LuFptxDgI2wRQN/QohzQ+RTaNbeKoV6hpS2BkdxE6RfHFIsHzCSJebB0zxfAsDBzrzLbrGsnGzy+8Wf18ZFTuqJbXDGxfcko7x0PvQuTUewrUHJRDXy9EusSV5nhQ88L5+DqNcKFlLJ0ZIZ8PBYPEctval/+LSglH8fpDSRZALlA9kHTZ12NWyJE686C4l82dmjg9oZmxzMJVdv0456WpNh15jYtmz6XiUCyqKG8oULNjYlsOakErWvQT/c5lje52qjXINd6QuOzgKeTrpA7vgE0pXQ/Eo6R3Fy2tRgoAMtrL4pCNPPX9ao+F5Cl5IFlJueitn5h6iRXHBuIVI5WMT/9SkGE7oPERWfSpgnBQwaCZDCtu/MUPCMrtHXA9+My5B6cxTksEyt6hgOqdKjK4vseizY0YdRd7PEjsAO1OcdvoplphgtS18KblHHb371UJobAcdIht2IDd0/2PqvHFjn+L5AUsF79SN/rh5r2o1SBAdjAY+UyTS699Baviv+3+NWX9Kx24mOdbzAPhz2JeZSliqhqTueO9CUgbPQ4eLGqM7RSgSvopJh6Hdl281dFI6yhHEh+4aOlNHIDAkLiZOMQjW18xoSdlYZWozut432HS8KFnWMOpF+ywZPWlB/HvqnrtcBKEOwPYd520oBBlchAejtJ504zbM6pYjT45KKiCGOOFVpbCdzSJt4h9xBF3cUHoobkP8PPJnplctqyfk8MafI1jtExZWT6YBLldvTPHQXNzw2bjdhA9YIWDXJbbjt7hOtfwoTlrlWnNtlBCmhRk3mxnbdL1luEB8wT5s6vg9qkXgF65DbIJZDiSGyGu0A01c2gK5TYGtgY3Nb3zw/fewjxsv4eHYf4mtNgfccAgMrQsOpAqNdGLR1CRpQfXlVpnDCdwVzJHOoY8FWBGK3bAjc2w55iFX28XEotcpipD5avHBGf/N+U17//K+/eH8BwskRZkDodx6eH+lznDMJuOdqQqcMJdg5Xx0hy0Y/W9ThHyR2472+NQHSwEsN5VSHl7pglP5MeVZKUk6lyI1fdicnDY3tiV2sF/DpOW0k4vJoUAzwvUA86YosmzTcRuIKFUt4qxbXtfEtWkS/FlMXMvJwkTBMn4EiV+yROQ8jhnQhn3cHBBHfHBJ2s8cKeoHTIai+7j1B66CQtQv4eWQOUXgpjRKwjlATKh+mO6IaF4ic9vAuNNeUxH06m725zjs3G9A46Pr/94F8q/v/iqGqCwL919ykbewrecXa7IJZpQr/8JmZPNntkiNhJweMv/R+fINX+8yxgnRh0UaywtdVmrr9BI8NR4e1DVsBg3QwhqfhzhHZtUomc9cm0yKHRedTkL1BXgnJq1884CX6iRpNGJlGH4Q3I73Zbe/O/M46k1BRudBgdBMQTRjGrUOD+kYmtbiQ1dnqjtM/+DoZLgWcrt5kQjO8gutq3QfCNwYXQwP9zAjfTcT63S5cItuubp3CpY81TnwQLfnEJBRTZxD7UBhZoOJua8ee+xPxiDTl4UbHQXv2Z8LVxUPy0y3qxxvHc9JvWOsHuJ18hoD/Ajsh0PMBUjLsbJFap26buAMDDAyEN6RdgxZnbACkjUMODJ7xYd/6YImkgmA9afuM8dXcsK3sMzy57LIYIE0Jk7LmK+/Rvy7dDMWVMQAyM8y69uN+e0aRPhr147nY3v7/La9H987ynFdja/NAul0lFZcUnSG5S6ZdbmEYXFyLimOciNzOeLiBMyR9Ebobtw7id1z/XjG5H3S/HMYX6ZwE+fnoErLBkAMES7nYdGxB6qa9yIWay3kj7pE7Xeh7d4ngXq+tq+3r5qm3K4RfSBrI0PVNoLuyHE6jGKvxkZU6F0Gqjm6piu6GCHPOJ9TwmY1UkvFSZhLTHGNWGF5m5k7Xln3JcV14cIGG+ORlTeYmeG5NJXFkLxKxARvjm/a7nGnO5UsFX4Hz0oSy4t7+90L5OUxkuw47crzDTfjz9Pn0DL3BwtAqT0q5KnGN0/+6tjYcGaBskBmIeNmLM2lfzCJSEIof+wK+N3nIPfaEXJzI2Oks2FUygwVRlWJ3MSEokiZPb/vdl0Vt6kLzS0367iJQMXgewmTX8d0iW5hsmFcQzpas/3+vf/9nhOulRoUHIpuivjFUuhawIEyNU8/y+HgB027z6kGMK6ZLDxDcLxxC4rE+mg3x/vndIVqwUOp/x/hZ7znNMYF39G4l0zvXRQsrilkbd4ftv0/DT9pyECxN5N83FxKSNeoURoV0C7Cn/xs6IKRcVIUaVpgLCSmUwoGqS+5XYVdwINuZ03OECoJFFQcrphVQFVJKg48R+Vuh5BC8hmIb+PsQ24L3WguttQHw2Dis2IbOYdO+h5+tb3+96J48GCTi+R7QU7KKIyUDtywdOxZYKo70ynqFOOnS55ptjCWbLFUQbIpihvIfQ7BO6WC4qt0qUlQtltlkuqj03NBdX71RTRErZQ+SRK/Gz10fQRfvSzt+flZhgf3TLl/Szkjy4fDG9HCcZZwXpp/O6YMs+IQosukueAgEv/9ela+eX4+i/NVFlSfW2InJ0yax1DYeJ3y2dRxB/wyjYuLB33PsWeag40wPPj5SlW6nYLatyQlioVdKrCkUqGoyiWQTUsuDi2syYqx+GMOvIYDE1PGh/2H9ubhjYYvKMJ4NrhuWvAVf5Of9ffwg7Qry2+96darLTpGr4xJvDluYOMy6QJzdKu0srKbr5Pdzq+2UVj+J34hl3B99fcrdr3mCrkllIrwfInTHvkT5FHGnCEldWt2KRCj1yhCfoPpjS+eni5veMhugd045nMy7vZ2eRJcIfV2O7uQGpvKq7J8InFYAdgWn0FjOoVvYm1v+fKGS/zMEezw2iHQ8VAcoerU8kDScJr/Si25DnY+YjnDOcxzMTntA2z2ui2LbtOC9FjY7x7DVmw+2ClQjMDR/tD9QU01DyCRBFwP8TI09Jk1XoFLdu+8JHioS7imK0HsclkAEZ20y2l3z9Xm4ZY3t4/PzpMb5/ncVBaFR5pG8hxrweeyqsjrKS8zWG2fRqjgaemwVAa7jsRrbCr5YpSTyE8K4W71wSZT2rsM5VaaT9ShayG+RAa6W9RhdQllbhKdLS42uFBvT45vuK5vb7a2PUZapppp8MR0neGrHOMrAbJMlvlcH44P5tuYE/MSEk1HSrpSCOx0mjAG8MFkwoABggHJdPYeeDo/ta/nr74mZYzpAaDJCjrjcX+PtJUsvyQMBBy2XlT0EAd7fbhG0NpTZuA8RQaOkADu7n3AJx400LbAnylYLGBvk0oiaGambyIrXJMNsI2hXNlmD0PfVxeRuvxMvTl3EXvAta6lrNlKqLS6vddNonze2xUEx71GMZZNQ+Z5WwMOaqdwod+9UYRh2mEKJVjc4IspXnuLRRHPxHcvkO9e3oWD+NwiCQ7354wLLdKxzHoe8nJl4QaB9Ez3kD6MdjUZ5KTtGSA8C4OxFwsqPbXYBMagh8vdBVmLKmIi4d/NebLzEKd9lAAyErt0EbpbtGdgFTjX8+HZbsXREd4xudCi6zEuSkOiixyj6+MDY1yR0AyNBCCcKJcpLcb619/1dnvb3rf3btccU3mA2zdmu8SlZgqiI9kcFvB4UnLS2VkMr9p0i8l1MDCJraCj0j4cYsBg/Xk4l6eyAL04BVqEEwdzaETt4EPMa2REhDbCeO3Ch7FH5CM2rpoTnEbts4pqBQ5nB5quS6VyKWdxOn+DkMA+MYrYxTjNqOkBCSTSRYGkK2cMtphksqGjPED/emzvbu+kxhQzQDUSMMVD5LK4iIOas14jrbENccBscVA72nJPQXof93Y+mrAijEE9hCYdM40pHnTH9NsQlJgplnSwD6SFDIGv8x71F2Vbf7j4QJPvQpHBJmz6dZKsX7xVR0E4uyzO+tF7j8LDgaGZNBEB8BnR8SNXPC/GlfBXsGKLJVvWtQW0Ao4PWWKafN0S9LuvTi9G5R4PQjumXJ4iO1sPxvmmgABKF9xMo1z7m2Pn+i4cxT1wmWB2l3DbHsLNn4WlMuHlEAUxFWq6cdHBYe12bY7kmrDgfbCdPdDpFn3u2+SzYx0gCIzlGu+9yxwqvEbhA6NT353Cfo1IZPxA15DB2jWm14ATJruGrDM1YXC9zbMhJYCAtcz7EdtlAryEiQd/KOxyopP98N15kI55083iZOdw2wm0GwSeGzdHB5qnXdzMlcvh6L0mFramO3hmp1isWPTt0mx01wU7v4vEtpfHMGCoDbACeMioFJqx98RnqSExNzs2vvxAMwxJi6j9RSke2y0XDBS4/c4blxHgzSFOIAoIN0g5OYOPsWSAauADdgmlBA8ixqTGwLZD+7B8aO/n9/67fHjl3m2xz6iE6iboug0nWs6OQia7wScbE4BOqRR8TIjyUlaGcLbh9eumjmMJud5I5tIEQUszdNq7cN4uL8WKfmXkNF6B8Sl1zx5KGYNR3nkeRpmkKPRxXiMYjG4Ekm/iy2KFRCJsh3BC4jCZI6q2XFccb4ixxQWcJQ0FjIyVdgi8kY5l2QvCF5fTaIL51XqLwnH34mQSIbmv6z0sMdMgQ5mizAHCFlNPT/Kn0etDmUHqNhx87xQJri0Pj3zLa0Rb2Ekfw0mHA43PxQPqmoFk+16cj/Cu+Q9zu/752i6/XiwUdCc8pB+6D+3jFoFyWmwly6JgC4qRz8rhcHfSUXLJlHM9W9DsjJBFbquHdDEtOPBYPOBUxcYf+tGb0xuXMriKq52GFrX1/hxzqHleECpAxYPmc4zUSrBKuiomAYqu2TK4MA0PEXPRDh5WPOdilUhx6eyAddLxhwUgNDjjQjKpsGg7eh7wPGY+Pc+Z9xff2eh4/9AUkBeU7kFxY8V04Haejj+/78KSeefnxT3nLiNTBkp4wGsrXJe4aj0U5oOvVXw1f813LZBoN4s+UtiDW1jGwRzBPYEZs9L5u1xp+Kr4AG4c/jC+lrErF96CUIuWJKCa10JW9e7FC++DDu50DZyNB40LDzeRsVhuHwB38u60qB+DvmKKH5KvfUi+NAId3zg2Pe7DgVnFQSpJCiLgZNSYdX4KT7zLQV9ARk1HezAU9M7Lwc0smCE/w0CuIdx93L7j0lKB6nTSgNQV5YrsNnEfKR8ZNmaoFacgyplt9FqCYSrPxGyVmyhdexwfkVwy9tGtQGbGvzM1yFJvkgRtp0f0AGFhLFCW0D37WbGYAiKBFP60tfX3VZsvxmQ++wpf9ybHiABzBhQO6bWo3+UlOnZpHBTUxKcq4KnUIOpmMVmeo3PwmiyJ+6UiogjUjKN+tvt0tsfWDTXfcAkJXP/k+0afD69TsnjmJNOB82Byv5ZrPfeAZh+M8jjX4L6Dwucw+MC9395HXszTrr398tY8JFVBx9amd5NGs88fn9vzu+d2e77FAqx71/44/LH9vP3sA0nx4RCTr5v+kxQbJqPSxNv17MKBB4MU7lUKBMsH7iW73mwE7qMz3FSuJTJFZHT5h2tTYVUVV+BiE17xm6F1bzojmIV7lk0rPSYEFnnfslMq3qDPJkjZJMMYt2Sq06SPpUhBvus+0ja5/4r4rt8rkyKSYg5n3i9SYO5tXh8mHDlG6/vI1JILL+5X1TfQhVggHq5293SgXBemDbpCHYhYhh0TggGXvAQThfuJz0HDZDbf7A92abzyvQskp0kRnCW4dpPjIN2WNxzeey24hvz/FeBtGuAwij3o1NzCzFNKRbe4Ba8RtJxOXAbkqYtaAHY/f9zEZeAVeJsKDZyU2Qqjr6ZA5igrzSY7tvKrLKyL4ky3Avmc14T08NP2ySJJh8iJy8ZbQ9vtqX1Zv7hh9tSEMsPNxIeIAcEQHnwGbN1CJ2vYFUsNHL/xN4T+M97CfABDBkbHVLxo8pAbULen0EZS9la6coscTstosbES69IZBfxlOcXDNAQvketFfAJSOUPqO3zKYhFAByevMjOlvUHBgpISREFQIcIJTB725/jTP+fmcUtidWqFy3hCiow6sTDSZfmgm01a1AnFQPalsxhCssYoLGaXMsD7a+HzGydNfO/eliyhzslvPHR3g5ASKricgfJxWBw3VVIA8tPp4yZ0idG3Yn+lMuVm1Ycqbep8uB8DBmHKIbiN+NTHXx/bw68Pbfh5cAFCAT4/nNvzm+f28uZFCIDPFdOMT/2n9tP6UxhyrJHp4iZ2GdrLNahO4vJteWVwYFsHpxhd/z4jLyBgDwcNVZhqDMDjcGAZhIM2vFly6jmI1yD/m1OUiZF0cHzW5qMfZ1MZ26fW+jehg9d79SX+aCrC7Qn0MG92WvCFR+5VjCuAO6ASgfulv0HBQEZWZOyGGVSnQxRKzGLSJISpCHyQZ//t9FZCOx2uW+VSaOVSt/KcgCBoqNwh9GcLMJ+tv4PvW+ZGzbE406+ADhMp4hzqGvnVNG4UZhY/Q1rpbS/fv0DK8SIwiOgAqBi4NqfEyA9wH+aUbvm4mOiXoYmMezu0T92n9tP8kzwm84spGoRWlXtJF/SSklQJ9Oa3et1MsjOgHC7WMbaOnAwapg5JdeBNZTwrXaN51mA1u9iyU2BZoryZ3rQ31zeh0mnv7BgYj7npKhTJJQzEa2y9bpMPnBtxxsJD0H7o5tSA5wespJHlyHAI/A3CLaOD6EBGgMKtzBGlFjmFu0pFgchOFgxjPjjOmNkz4JdEtM4HiyIbx4drdBoQy7kBcJ1Z3ixhiIoSMrfbSj9TVeKyhA6G34GB7nB6xYnphgmJfzm1x8+P/qE4KXNLeZuFL51agFXkd7ZTdB50SixlltellssHmAwoi8YspDjcYPSQCpmgo6cRKv+b6QPDjvScLF9Hl0ZJOXErjCsQkEUXGKCFERFD/t7uuYvcGBQU3HMUjNwQVwLmXbJ3WsJl+zBHTMQlDSKOp7b78661n1pstzPojNhcIhFYuJT9naRpwuP6cCvi8KaYCx1dO0nipeYym6mL5EmVRGT8MEHNfVjGQXo+HKWt0D25LMyOWqf1jFOWc9pdgl2wXWPrvcVBpOH0h9baP7Q2/8Pcbh9SKfQcwgHlv1jeZZY310Wyft7LwzRIv9OtigOGJU5ocoMiBi4PLxa10TGKuaM2FDTksy3cg346/NR+6n5yhOde0ik/o0w0d8EubwrzjzIqpkB6+A1rOx/PfjbrYxzQFtZrShdzoeeiEENjJrBcCt+dsFLdVO5J371AyidLu3N3GmmIoJPJLjsLvvMNKyuCozXu3DB9GD8o1aJDE6hn6YEcbReWSRrbZkBTpc9hWCuXLzXZEkb3Q2zscC2mWDLW50jsEiOtvCjMqiW60Ajzs/XLm2cxpcfro/SAki4puGckq1GX10GHAk5CMWHUYesNXxJDBsYasjuOuaQ6huSLjs6bnA5z99rt0C1h8sEXoyrYIltJ7dUYc7ED2y6hSFm7AJ0hcgM97F8XUfII2cxtjxY9MBY7icQf9SLcr4Ezco14T+mM4oY8RxxuKLTt5f5OkdM2CuhgPrj5c2ky5dIk5YdFV+F9c1BZHLeTf9wOo14hWiBNF/Tgwz8Sr0WoS/AD6VK/nRD2wYWzM1rT5goDDfioni2xJPLwQQ0znMIJqd+cQPgy7hS+IbLBdK22O2dMfInoYO3E6FrKXYcOia099/IhEgtZBvpaGfc5VCj0uIf/BUurZjLg+G4U6nh489Au7y+t/xIKEX6PeO0Ur0WPgsMhGoE5tPrqkef0JewjSkJmCMuq3WADwufD5/uwe4hconSjkVC9XoMek9BJhauVA5QdfCqCKI5mHH06tP5PfVv+YRHP5z7F/BfsEXhFaR/Qzy4mQM1lcjN9IxUTeeotHPblEPLcn4LNAExksuV+b/HTSmzJArluHjBIJcFl+SufK8WWa+F9y6SJKCPlhZptt/Av5cDhvnjePYfGH2u3/VX/BLFQMo+unc/Sw/nBe8SM8YwHLkeuWrBKEUv+5HcvkGAvjGz4PNI9Pu+fbXm5wZnp77ja9bVAyrTvRu3YTUhrgwUAsjZtrmM142V9oEkWrQwbqSIA/GkxX0YHGoQe05UZ/z+KaI5otR33Q8tvfecy7J7fz0nDxVc2mHZaFrD17Ilc9u+K9bGzJ7A9M0bMy2EUYpQ9ZJ4HSyBupHkNl2aKJJvHLkZFlzSQ6qfne0wrp58d6ZTGFEMEfvHvlJlwubM7JvDAty5MO5Y3QYCdbrHQYUSmMAyhPlHBkMam5R4kHknWB3QmeH9sUtfRh5AtIkWH948s0RsUuSMdN/QtxlgspnYXOzfc5elQHdV4SNNlRywpSdgWN0ZZCNg0fnD7yhYOsw7GTLJi9pOmEDz8bkHX3MKDT8Jp5CFkMcPHlBpumAIUZB4GlUj5s1xYsV1vGYvBNyR6nJNa8mKRT2Itttvi77UotDx4PIgyBOBuZjcGwI9L0+7XXev/3Lf+XYyMdHjv3753o40ASSnsZYyM7isYRTwzFB0PrkxsZHT3AERNlWFiLjeZDIaQ2MpvJBYXeKTjHL04UYFpuvRkiZNKKJ8fhg4ak2vGMfA87We7TihFdL7rH1djXu3OP8dkpCvXegtNNfcH8bGwKPiYpiHyxVHPLbmcRcaLcxALVZ679po2yD0lm6FiSHIM95OkEUE9g9CCaSmXgmUIXHuDYrqUn6hZOAgucuFaXpvca1yPKGBj5LLPyQwghpbl7LDZQYPr2l2vs/c+tcjX9vcokIx8cOnoCj8fP7evx69BwyGHIj3wHN7gFQI+T50XjZueG8TC2p4NW4JDabfCAmIN7NDkQ8T7UDMwKz9kGFJ6SXJCFsWkVDAWON5IZtlIwOYDL5+p3LYWJ+9bo15v3DFMR5WjLa95v+IXuAixyQO8TpzFYDCyRMboeihq8v44pTC5ZRScBk9mPhQWCBwGyAg9ra9r5OAQ8Xkb7t20fE8KActKCiRY6XAKKWFu67R0ylwOrgcbcB15Ur2iznaI4HfxpATBpVeAE0PyTeBcj8H06/Q6DAGKG9TUB7FX0T961uEaMj/wv4ctxpxjcEntjAi+YqzNYCmxYAjrmURomBZMgP1L0H+ySymLMw5YcpelWuWBxHswvXB88fNR235N4n12XtUR8M+Dcbtc4kEDw+M94oq937f9Q2Rw+xoPnYWAPzAwgFYossBGdK5yKsG8kjRvXvptNH9m9687x2qNQ96N7eHhwXxpMFogid3X3V1P7GGPqQrFFicb/AtSiyxfNr811sjFJPeX1C3I/xnOVri/BSp5lmWXxzNWruJ8WZim17RKttZEvg4/DbF5fztHaNi1M5sG6zMOae8Jxv3kmzruZqTrBGMBeCXtyZQzViwFkAsjN76fPKP8I4yzyVP1oMxnFBYE8Ab3BwWLhkF5IVtvMO3cbqtYSzvEKvxeA/wOrrH8E59nImIHcdn7Hk6Xk5+T0dKp/5cCtkSBpJtlZOe5eze9+/4F0ptiHU1MM1yJTeg4hTVUcuKkqBwy7zdX9ZwoGpeukbHxefjcxn8c2z/90z95sypRhLj5kuMmD/9jC3t6Luwt6CWO2RlVWg7OjsWMsih8cJce3oTbTn+45zLbrRC7CsbDCIvt0TzY5Vl8yKCm8CWoLg4yd+3d8k7azp/mPzlqubRA1YDBAzfIYZGtT6b00+HJ68AX3R24Ju+Jh5XTbfrz1P7657+GAgAjXfhuaRwhLJHON2Jqu/4+rvido4ajfcr/KJi6m3PorMlJhP8FRsmIAlH5Nt4T/IrqYpwFiqRUIlgcc/vM+xJuaKEDZ/kG1ldadXmX+8mOmUQ+ifNb5+FY7IVyeKELF17JiAf+Xpnlaoq83O7GFpqZAPTT+GDokQFUfDZihhy+h977T6ecKfmQmbviz2IjzuKqD5cl4RC+t4RaHgNGoYAwXtv9PsQhqfnsMnrQSLgHIyY2mMVR20LdNC3t+ctz6/8l5YTD1F7+6UWy+P7DXlbD4eXgth9sj2ssQ2PdxK+BAcSwb70dqeR3+LMZNFa2fHeZLJMLB8Ca1mC3OYr9HF6efr7wBSFX74NpURODEAo43qFv/du+9R97E0mBBmwmQHn+2tr+X/cRXftlCPNrYmpT+nvvslvkOJUCxSkMn83iPePKfp7FqHUcP9winnlIHi8cRphGTAL4b5LxfWw2FOUQ7zJ1FzimcArPM5h1qphYjrLcKjNt7QTpKqmP6LBZ1pLbN8dSxlqVTudGCKdjEs/24/wYenZe1/cukFRhP5i8+ZToZUdSXn2eHDRuNA2ApbmsKYstXaqH5/Zf/st/af/T/+t/av+tfP2v//P/2v6X//l/iYK1vMaNes0Ajznx2Qrvw4GEk5wCAQ7IqQcXj5vUrnUMSpRYSkbOSvge83RP4+DK7bZjzuCuMhGWdpK54j7IbJqTReCnCy/tEE7kjHzm6cBH3cdW1G6OTgEnne5vQ7eKc8mN6BjZMWcGfgqGBV+u4jvL2JWi4b/TD2GD1rLY7fqIOUjKkNSdMXJHpFCxyKOw5chqHjnYHvdpBlCJX+4CT5aXiAXWPrpACr7RqagzbhcJ++rik/Ts5n1dNHNA8SJ7ISM//Dn/tLbhcWj9P8Ryi5RMTZOn6KqMxiWVksXYuXPzWhlEpSQqJ6pyp6ouyjCzNP4oPF+3q2RqqEJiGdOHOYqwQvoPyO39sGvdp8400u1dLPgkxf+2txM+/Z+nNv7b6OvmM+YacTBKUSOdELu3LVx+NF2pewMSd5pBMwm152ZomQUQQQbFLos99x8Tk1JRFnDEdwDDgfVCo0vaEg2MW2awbbo/Muu3cNf//fZ7+3L74uKo5IJSxnYhOHD6THcxQ/LS01T6WD1nJjgEF7au4X/06z/8T3LjKFkjT6MlGRgQuzAEJGAAqdAomOx4KMYYYSmM/D1GNXAsNbX/LX0xfgCZCBfl5pTtdrqYS1DOja6b4TGyRwy+uhzjBsTJG6I7JrrwRrukLYGxpjW9lm4UNSVCATv4nVJBCyQdIaTlHOsrvsFRqDTXZDlzYiOzG56lORlXm644tUhTY9s/BA+VTJjMJVcimSYWFHq38LvNMdrxNQnk6m8zL1tjZDhu7TGMkTPG10hdNvmoPCCB78L6TIeZNFkVt+pCIqrOm1HqGlBJuapLL+pSasrvJ7ub8Kx8P9C6flt+a1+mL+GXmRGlFDe6mK/zVy3jHPH3+7Z7v2vjx7Ed3h7a+jH9N5+71n/tnYZUmi05/dBNXZM7yJY/zZIdgzOESviEbq0llYexs9/uRUo3Joxkt0gIrSheIYtMFLV48mw9tNb/oW/dH7q2fgi5pUqUp671v/Vt/8u+7X7ZteX3iLEAynLEhhbWwpjF+6u93p86TGWejrlF18XrUVne0vbo7vKg9XUmW6KmOeMvknLmMwBzA1UcYX981rs4aMsAGIz0t/k3/SlLTKGfZ7oASdfJXG3hiFTv3A0xEgvVNg8P0/7Rv7Jc/I9+/Yf/SdrcIjFL97me7+132X2VLZgdRW6D5SJiKY8ihRFrvLySWf9b+WI6hPaUyo7i6ZUTkdv5JNxzEzLeg41RIOnU7V4Ya7rc+gNuw/tinCQlDjAfYJ4OCb4jedP57RIl8zxcckEF2l3j8+J14T6dtlVSkbrV/98bsL0YXEZnJa4G0A3tg+9h56ZVgn331o5PF2ccmPqQnGm13wXdCWwYygtyRwpp8fYYcTXkQNoGPYqCyZiXlmksNSxx4Gzse8CPd5F/LkeU+5EFTeLD+mui7b+Owb/MMKiv49f2efysszrvESzQiQa+3zy28+2sqw0Hv/gZHS2hahmhgRYaHFDO4q+Zjf01OjRwye591w4/Hdrhz4c2/kriVzi3mxa5Rr5SYbFcX5MOyc/Glq8oSSmlK+EEBx1FgIJQuTTCF0kcr4WhLAeW9LsMsnvfu5CZPgaer6EuVJ5fe4n/CAB0yMK0I7FLoahMRFRema5Ebfvm0CapdDk5WsMv5d7hmkjFSVMa6UHplGTHNkY4V01ApXYRW+TQ73S5DLwz82VUgg2d10mZJOYsGMz0iXPzHyZXlkiXuZ3P5/Y0RWwK08cdbmBhSxYV91iKU7i/7rHD33XEvqZMJ4nFgKaemjh7IMvCun5YY7O5D4VAbaSlOWDwyXd3a//b//t/a//7/+d/D4ngfBK/YRM4P0cYmD6AqFx2jwHqoqHun8OkFIE9AnxoBNB6sLbvHlQxGAva4kJrR9aeHOnYkJZzDTckW1A4jyhf3K7lQqciIjm55CheIhYTvA8vQNxwHg+P4ix8eHZX3Zf2ef0cYxgnGMR1zHeXCNVidPvnf/7nENyj1sCPEaXQPjM8IFtDCmakbL3F8VP7ZIGkaFSYVLmQiMOmVEsJF6fj9pojU/GZguyMRX12FVhN8VDtB9UiYq63XtDaMCXcyMGRMnsE9RLFhCJpeP0UnMQy+aX40emBSdO5aeRLgU4nHgnQy2vGOTcv/w6vg2suR6/NdrAQrHm/ZjtL3oyHSLI5XRjdRybl1RKrzE348gDGkRuyOKIDqFFct7xPwT/xmvxt+M1NNbexS6A5LL9Qi4h/T9PdrJZ70yVULgS1k0vf0sNTBGBRKOnQ5NquO/OO3h/ft4d90HPA0DR0QTs9xL3IfQz+ZozG7qhxCNfAJWcaAFOk6HSRE4Jf8n50y6IDSp05skKKIcRsqER8pruHXRveD237sLX5YwgGhAV+jRz67betrb+tYTJBJwtPl29EA2n1x5Qni4SwqzGWP3aWY9zX8IfBMcFdUbKIgae7lVxU9g7oo7dHI0rgRaqJb990zpkHXl0zBwifBfeENmpALOMh6E3giVNsu22+kEwy6YBxX3ZyXKkd3J9ijbAGmFz7mEjKJ8Gc9jmmpb8LBskJ6hjIFw1gGnX6IOQ44sUcd5FxAZEbwLZC0NkOpvvOv/7lX3Uox5cQt+bD14Mf3O33m5Iylhx/GP8Qrjentf1++r395fCX9svwi4WIk9lNG3y+Nfh8H9oHCx8PX1mx/dL90n4bf2tf91/v+dbcxN8WoHKeLpssw6imi1s3PgDoGx/WD+3n/uf28+5n/eY4lcHj6Ei4+RkBIADzQOiIPkax43Tl76sBheWf35UP7unO1o7FC91Td2gf28f2Yf4QllFQhVhUkFNNB8XCkxsso02rsHv9UW2kBtpMoLSVU+DC58B+gfhaOICHzADBi1CTxzj07JS2syReIk8ZiQ1H260RGpYB8TITIPKiNkH5lEmApjfiUfiNXv3eWWCoAK0qpYZen3aLmI0WvE5NPtqrhr0s3aoI+p5QXaTE0q4cQ9aMmaiiWltdOXTds1phPicONAqAuCxiBSSNtzmMQC6h3hBf38WD5djaXqk5lXeDEoRObPq3DCx7Dn7nu+d37Y/zH9vH/uNdKMDv/Wv/1/aX4S8WUg8GfCT77OLTsMORNDXOZScnpDIEJFVjrnMBo+hD76LJDT1/3u7b7uNO2hFhY9DLWFCsn9e2f9m33fOuta+tbb8GFU+YAdI/36QiIg/+5vVUvPAwZDQz9ynkeaYNDKz5s4QZhwuXXTh6lcM9xRF1F/e2fgRYjqVBSTlG1X0ghWxN421oO+OjB4hLxYTu/Oav/H0WgsAz58Or2gtFDXutx9U/ogMFWyX1jGurP2p2zt+1QP7efg9lBOMzG89hf+eYcbKoJGlh5U9H4RYu+W90fkZ25mQtHQdvxDGdtXcHH0LF9NfOAokkidOVB1RsLUmi5UDtSQ+lBpNYQuzbJYK4kKVBEM4ck7LHsggx9qXLCg81p7nbdXzzcBzG2Rvjhy3wQRYGPtzYlOFuTDJfaofV/24ZibpkUeCB7dI+n5suw6t4uORRQkiHLlPO02zjdnGo6GqynKKrnfbeLNw0dB1QqQTxa5M8ZNwEztJZRFy+zFdHRe2gKJi4qrCIIKtnfwkXlf3mzczPry2l0RcsbbDcx6GlbOZYhrCt3nfyHzXy2J2Uponx4QsAoXiJRUdps1Vl8HHDy0ufRDXnGfdbxHXJyYVzcW9RhJKjVhCE8ay89+TcSUCn82bhlUFOfka4maMRhtyfW1MIxb91vzW+0WoL2MujDqZF6dyBMXB1kgIDIwK6C2Nm+kqqWNm+ycEhzvXXGF8lZv8a0BJ4MZ4F/7D8g4c215fibOGgq4FCgz6arignquLe3rer7O5Y1FBAMLUYwwSk7Mc0p8X672Fp29vNTfX4fmy7Tztxx+lDONufX87t5cuLr6373Nl4gGWvz2ssS2CDHKIbN76AjjEZCx40aU83ZvPD88XBqTntfIyt9i6KkgugY2CYTAlMcxRIJib3FRnnQNFXesh76dMxqyXNb437/a7yGsMpq54/a0dmdLsEgjJ1O4aP5iXicX22KKpMTCBK5Q8LA2QJhyNTF69/h9Cu/9r/11fVxXDU2gtzB13EKdS5PbJAjg+vtlxjJKGVXRJvmIdMGgsBO3j3kU8BpkZ7fOiDQEv8ArQLNnwlETvGaFAyMBcPEMeRWvWXOJHIvZljM2sxx3PyGPQVRnC6FLrMcleR/jNFAXIsS6zIDoJFQGIeKnu6HPPXi6OTFJAMfHIMI8M41RkUJg1gkT0yDkDMTupJbS4dYfA53adkD44cZOPbIu6n7h3Z4xjxqjrl7G7RfaRnoNIyTuFu9WHkdZU1lrgSBgn8O9013H1yC6xz+BJUFPEd/j7Fh402Yy2FB7NiDGTZkGYmD8RyTW3pGskz2dLABDloHyN/Zf5UsavogTp8Kk5DPfXQRYfRXe6Ec7tgOLFrmu12+cCmqztjltcvjVrL2cd9QNpr0eEzQfxl/Ev7vHwO2AHJIrZtSUiW3JzJeNVNWsjpMCj+2P9jMoLBBbQcsoWgRV03i45Kp8uqPyTKImlY6Lfnozp/7k+eE/PYx+M9H1pJ3NI5DXmNsPMi/W9OC68xbMIYTR/fPMo95X3bNTOKA9E89q370PmHrvH26da2j5tUGjwjn5+e2/nfzm34y9DGr2NACLdJLFKRAtj3GI2KVmSIONLWrDTxM505SzegMk+toKVRBFXd4P1JnvwYoy3vk5AxOmi6x3KLMi76FlHRRrbiKDVmtjx8TgrYLQqYRQnSPG7yySSo+AlpSkOqpqgBhLClgkwM+qC/XxTHMUfszM6xAEOOb2fvj+9eIP+P9n/cs1I+DB98E2/WN+G4wVYTofwafnzluOzSJk1xJfLSwYC9HI+K17VLn/bRcaDh3mfOyJjVvt/a0+mpPZ+eQ72xb2HOitzudrorF3TBxoAW4nZ38f9XjrX2SuWQ5ukk1MJE1oeS1EVeYwYtSW3JzF4jUMltTl9LT+QuVAdiJe0cWNIQYDvXRB/A+ejNL6EWEvS4eCNIs0mZYm3XNNxFWpfqH3XtGYzuthgqAwRhvvcB7LtcGb+Jlu1WSdZ2V9sceCFO0xgPpDVcQQd2wYDu+GQQezpNgvfAHipmSEvM1ywuBCWHHJk1JGGSyuFZsgjIbbU+iRB+IcUnt5LrWA+WMACLOrat2fX6uyl8LPiIb8CgI6lEYolEGpAxDqUDqzXGqdzGW6AOfSi46M7LazOnBK5BAfo4vf95+HP7y/SXAPCxp7tFNnTxQ2VgbK+dtC45HC5sfOta7ObAvTCFaElZ4fB4js9Opxt8TB7CTo+O0Hs3Q8K4x8VruzfKbemunHS6of2y/BJyvDX4rnbBaU5Ct45vI0R0vCcpknafCCdAWk5DUHk+dLoLgTdygEpX+vW5Pf3zU7v9f29t/CXGYQ51C8W8xqInqUZ2cNsYgXd0e0McwDwbG2YULFeGmNo8TIc5/Bu7cOJyYTiud/tA86bGBydMRR3IFqebG28jmvNwYyopRkV11Ha20yaEBtulljE2F8loKF21tn7jPlyrYo5WXMJ14nfYfS8BB1EHuJ/AdH85/NK+DF++f4H8y+0vFj8twchRZkGAu8wWY60M9uQeOSKwqS1mPE7KUD6GU3RL+8yjuaZ2FTJ4S7umw9Yup0tkyXR9e34IxxSwSCVj5AyfD+34FNpXA6z2EQyl/ZOr2ShsXFhOcvhnAtxLmAhw01NI7XxxDl+R7cRoo2wQ7lc+eNz0PJQUKgoKHQMnIR0rZHEAcm4W3hs4mkWbREcWKd2r1VsdILXIKJ5i6U9NKMT4lveDazqvIfOg7aIz5lNj1nK+oUjmAobXZ0YPAWREja45PiK7hEbEWA/BGkef+cURDN4eBw0dGNhs5QBRZFwSjF+9sUrGZfrcmKNlOrGoBGIkT3meC6wxVERcJztmePsP8Vq/DVarBEBjHyqNEfVKEvq5B5gwym+T7tVFVwZg2S22W+jDYUmkqzevH1qSPoVkBm23exyF21sNfeLB5z6o9MMI5bjGFJJxDxVob3eaWnPVS+R3n9M7ACs5VFOHp/Z797u4tdSltdN/gNevW32aqlSQG/g718+jkalmXb2HXHjyLLzb2vJPS5v+aWrXj9cwvcV7ksULOvs3vddV1gFyxMu13X67tfP/eW6Xf76027/ezL+W5pVGLkZPkAkFxIVdYEaecA9yHe9ZOkQX911QjDIaVvL1GG5TZRQixs1CEH5oHv5OAKQjZq66mHCmTjr1gFviPZDyWu9z7ulUzHGfcFCVAQ2vU55kxj0ba4Ew4tgJMWjkgXgjA9PsKtmP3CIF0QkwI1L+Ovy1/bL75fsXSEHZzJBRqI/rMGa5fLB544njqcRPnCclc+W3J66wjw+Dh05y7TVyonUix8FsH0RmDTe4Bw/nsICiE2WEvYzKuviDSF0LIz6MIWJiHZPT/Uad63gQD+FGVYkAzaW/+t8puC4BmCAy6ImR++vwNRyLdldPZgq27/46tv4FG5N4wMqMAAUPG26uRz3sXgMI3Dxb0DfoPHFvxnexWzw0lBAitZyCxC3+s8TYasgVJyWWXHQ6dLIUoyVoKGJ2cEzJjimnleRWamWFFRqdM27tyY9k0cbP/nz93F6eX3zA+X0eWMMxlEvJw5PywXXFHIHX3kXcgxkowy606GW2i69kGgFTPDk4ypBX2CPxN8nNc2wgLZBFiGZphZckSxVoRV1kP/PgGj2AHI99Xzf6foROMq/57nK9ZNeaUQMWaziUacbsGIbFWUpidcrO0d7ObM6H+JuoVhVh+fdK+ufP5cBpycFkNL5GIeX3gnly/bmn6cDJAIIGVQYodOss/HhtwD1Fyaook9KeS5p+s7brH67t6f/51L788Uv7svuicmV5Css9PT2HOZzBz+c2fZna9tetLX9dXM6waHS0ngOHFrJqSyjN9AvJxRNMjjFt65KKVsvANXmtJU0ta0Pt9pJwrcP3HMR4Xouw0hiRE/IsgQv2maCJOcnDzVAtsHUziTAv5jVlZlVFQ/Nz+LzLiJt/vzwc3IQDa1RQXJLO+RwRVrjhhntMI5FxLcZjwIX9e9id/efpP3uDM6b+PP/smI0czVEOQP5lEwS2Q8J7MWkd0gPGB99oKW905iE75Xnw370Dz+nnJ6ePU5obH00rpwu2RvjSwb+6RBHgwpX9mQAuRYQ8XUaufXa4YxQwuXqZkseFKvcaOgK+zNnxjVA3zn4I5r/sg2jrdnp38D3TxdqlDbv2Zv9GOyfcyLl5wErF8MD5UCCABeYCBc4ddA/D6PuQjZWJhgA9mldwR1zGKZB06Tglq8jLcHfyrjHrACCnUwbn3WeC4BZpiDxc3KCMbox0/HwwoOtznNxwWgloooO/u+WQw8zYxKKtCw5bmQNUOJc3GUoeuHc8wOQtlwaXg4lCflwd//gsxVizwxBfLBs8lmsVE0qXhtw+zWT5K10fB9U9LI0uoo+wsyKKiwnSleH6vm3RxWKmQKHLfweqGKRudfIZhqbJA4ukNbTqLqnA48jhBq/Kb2WXUELQGXtLxj8vGwEuKwsMvueITnCbP68erjzk0L9+3f3afmm/tI/DR58b3bFxEepHJxv+t53ykodG4qgefmk8/XR8ar+8+UXLMnBV3geUO5cu2VzI0TzfWv/Ut93vETPgoU/TyKiMxJIYh5w6Kg7Zww0nejwUmWAyYVFqDJnhXbAM+P+hInmgEzEMp7U9RHME/j9fvL+5rzRjaXPgqOD8KWrgvmDJSLOBlyb2ZUwjChr6UacfiPMKHpDbHvdi3uW3SjEXlyYatmUyJFHMuZixwSGugutJfbiMkYMNvg5emiR83yuWit+7QP4P3f8Q4vDrvn26fXIkozB52sGkx+L8treoGf9IkBBbrX2EeUtmhlF/W0xnA8PRi44HhSyUY1ij0XkZNcnIe8u2Oy34AZndNOIeAhVjF3nCePTx4LrQ2C7hI4hrMjkmKYszqyajKCvAie+6cOU5aZdKW562ZNg88cG5fMDI4RBuOWChFRfh8oOOabe5SKrMYh+uBPwtbhj5pimFI0NSKbxxM3603L2LK1c4prgjUMQtk/OweqIDY/yjyDHirEl/WA9315sP24fA1M6dqgRvVuy4rpFPre/g8Ch2pLcmJGtOcLS569FxnNdmzsoUhgAeKAD33Nx0FhQpcD06jj4z0nGHAVMeM+iMzxAHalQlyTIoWaJFAU+/6xiQy5KjMxklYxyERpYyhdBJ5KaVL8F6jChSUVNRqIZEkb+Cm3sfBGidrmFL8M9CNeFg5jDjs0qLNZcha27YuaYoYMAF01yX0bOMWYvy5AZ6zrgG8OLxKgWMcZs/+CBCKytrOqGcdY4QqUsfZst4f6YJhzLELZyePp8/t+Xr0r5+/uq1WL4s7fznc7v95WYnqRsUBxn+LtOpPVwewhx4d5Nqp4ot7eAshmCp0L+oxd94JlYn7paXhgRS/jD4uZvZM8fPLbcsHewhgGfcK2ojfj4cYgov5H+uk/xIdgO7S/t6+tq+Pn51ryDGuIURN5Q2MFq9HPhcjp0emGTsCBFNnYuessOrpsLFZn+MwwCLtawPen9ycAxnpyMOcmA4E1DTiPe7F8h/HP8xCs88uJxxXGUs5IYDVM5MGDoreH8UBkOkbnGjilOiSgCs/Ty17UvyzgBfH6P1r9FJ/CVt/T29MyyM4qCtGEFGpzRdJWRpf5bGYaA74znUjGFvgeQCgacVHCAewxYx83ftfL4pkJzmKhYoptjAv0Rn52kFCZ4OJGNWxVsoau16l0o5ls9zdMjX4b41rGjRCjKqh0HMJzHKu6IhYz8rAlM1DCFhFBC4cnkAFmG6aAyiG9O+fZxhU35sH7uPdpBm30zp8o4ZKabB60k8WZ/O8W24oDOCrhHbCdUKsw5v+JZmCVM680AHQnHB1vU2ivW4PMucb+4RubAoYuCZpp1VFbX72Lq8bpRp3hmL+DmW6exA5NH2sSSzcGA6sDzex8UKb7IjZExfb4Eh8s/ymSW7Quu54azTuiM33VJSa5wiYFztXzH1cpep+IHi47klZeJPdYrmExiy7GOrK3dxvESmUh8widQgtuJzvDYxZRZV02ynYx5RqqGKJ6rpxHPXdn/ZWejGp3DF2b5ubf7z3C5/vrT5KY0kDmEKrTsRmUjLKbDjfheequDGvHa+QDVQbsFvxAYPfmBurX0GoE4lZnjY4jN00XkNznA5TjFNMN0BG4H1kgsE1CNeyFKSdFHMgEkp3W6KNn7rf9OsBoocxZTrRn3gHqJQAj/QbChkwEzkIXifthW3yLXWrSnjg5Xikm0OZe22CT8I9UG94r45Tu38GKbBjvuXq8XT9/y9CyRdBqeeKglIrYxdaZVl9GTeoPXAO+7B78pwd63K4ONBqblMkmtdUBzG4A2mu7AfEvhCBkjZEtOtLYc75QMqA0UUhUz9lQ+A7lGvPI+/4BcCAnOT3J1KUtRPYStSccWv+v4IoWphn2WU6iXcQuR7Qk0aYlFQ9mwUZl1btsudjlDmn/AFXSSd48Su1LgK25IBkJK22nwXVlckWm4AHkLpJNeAMFTEtIil5f+3g8rUNwoxRfHTGF0+naHqCDoGcj5SucJn9m58Z8ohxFxP73RrqSWPShTwYdyCeG1TuAexFa68Yk0h4KImjOAWOCGQyhCXYwcXMt2hObgsACmFvKcYsmmGItO/i26pX+5mxjwkYJOyHJbXfBnvLxoLfnbGgBZ5vX6+FCwI3uMQ8AkQEAuyW3Txxhfwz+COP558r4X3ViRALboKl3Ok434kR5qCnFtWaW27EEi44OGMp8AiAb0FCyLEdZe4v9aIaZUs3QcDw2eI7KXntT39+ckufv63+Aww/kXFg6ba0R5Hqzd9Oz2ehBTgD4PP04h4392aI7DLUyhyQClAFBhasDACOsjoBDtI/qCl53Wskf+C8z6HF58t109i+PHmyAxWDxleOApN95r+nDz/jLIsxNiEE3Wwvujp4HPKNU1snolG4Qcc1F3sKGTCpCzR+Ijp5Z4eyfNhtMl0cmotpySeN8UJRkI2JZfzh8gIV2X25RJerES6fO8C6VhRSwcImJDEj/swBQV8Z4Ocxqa284xHyfwvqZicw3QlVhDP6YcMbe7DOmmK8dQ3mAFXdia09OkkxOkDuFtdln6CXWB2GhAklibdKF8TDzUfjsFXeD5m7KMkZnz/EtcwdqBPSZwm04f4QK793bqLh0wzh/1F7E9e3zr5wTsegY1eD+34fGz7p1AwKOgHXwEXXXcRRpX8wrKEr0zqb+NrOWHpBvh5OlHnho/Rgo6DTp7Rpyyq1BD3g7goo7OKHjry3EJynctRhoIB9AGuZ0TqEEXajp0uOo2G7WjZEtPdQm/BpDb9NPkMy3lHbJdvKC7wBK+5ted7DBdvcVPOLhYBjNgUSf65LV2g15D1gRdD6HfsS3qSCwmuG2+SLzoc8omgiCUB3SViErrrXiwYozJ96r1YeLfsvDF2hat4PLbDQ4gWxNJxobqEiICH2YXaLbTtBl3hcThFpK54KvQS4kAScql7lk6bn0XRMiYVLi0sCFgFuVyj8JTDtp0dC6KptcvXi6FxCAZ43RK1r0djYs2KBoOnAyOVs38TzJCnzskHAjX/DEW84A0KEFi6kMUhkwDZIkMxoismCpdnaAxzCoQLMB3o8HlG73SqfeLZ+5dw8QE2YhHFNJSqI38eRPT6mUxvl2BKcPjaqLRYXkpCB/YC+8V5iiXaEocUajT+MAVRR0wxZPoqazbuS5zNs7mx0z5ubX27yg2lg3T8nhd3JUJf37tA0rW5rdrFi/ACnsIzUIyJ5S62+bsllB0YCIBFDXERND/YvRhY3t5GKFQVXL/m2ILThfDv2z2hO0VHScYz5ro4z3SjdAqKk//aEiFMgtqEI6Vsr7bnjlcsPuYYMXWRSQ6Y+ShCeIEpFcHZnGbI8P3b+CDpqubd3dIdzp48vKQCOXLmaAfOxGjNttuR8Ro3qJI1rMvGIZL/UJ8smTg3Jl63zw4SGggb2yW06t7ka2wfXXyMTbWSJGTwFAi82RG7TIJ6dBzFc5WQobrhfVwHNbQWfKaAMZPg0vhCyIEbcw1yfyksikBcLtsVWVvUFcbzCqgq7luRzaUNQSa+TY5MYMYsvSp3u7a9jl0cqnm41RKL1y6jYIwHksPQTigzasrYQvwVx26cyDNqVayWg5hRPWlcRUfRJR7rfW5B+MWJZ5nPfIrYgsJ7HVchlc97C4aWX3h6omnGMIE8d8jq4GdIArP7t5OdVpcqFFQOA96vjkxjYKz6DAzRGZe9WbE+ZB+A66GKWV5CsUWO0HYKSGYIKSSHnlpjDvDr0OaXOaY0DqpbF7ZkDBGMpsfokh+OYf1Fly6PmO478+Cra99RgCHuX8O/lHuWz9LvLiIYaBQq+8mETcxCkCOmgXW5n/O5cO30N7gcYmnEtcerAWL/9uJ9RBes2TO+qS0PTro+ukxs/Hhk8dIdMjoW5sIWvFm+vHeAZ1gKPQQ/lAIpfnzqfC7+LgXy65uvAYCnRZUfDgljEIzhN4ELHl5Z7uX2zInDm1dWtT9HJwGNgGbia7xYH05MHHDuZnFKHGpeEH0Fyfsg2hQ/QBYkSJDYEK8RN+BiA1v1MaISilvnJnmO0Y8bx5O8W0Pi1B+iQ8X8l2KwBFYlQM/IywfBXoZitY+Cyk3OSa+CYBeifikxFAHI0rfZwu9Ift0H7zIJ23zo6pNre8p4lt2YmBZcrqQolb9dnch8qerB9ZvTf39wDBUIx36e0Xad7vk1un6/WR2DuAY8XFpNMbXQNeXIVzQXpaNyrGKRwjhSnocShyFQV/rc8k2aIa8tD5Va7vB+pSlB2IZwvlzi5IfXxpa4z4yVIehcFApwKba/kqb7jHpIhVYVOjoo4AzvFTpAUvSYBGiCuuxSyHPeDjFCAWsO1xjv+ZMTCqRuMFNFrlCbMidZbuAWiZnGF6S81G0pU0V3au+X9+3T/El8lYeWsQ/uZrl61wFTtCAOfcfqy9Keb89hBEtXnfLJ0mNXHpN8wiRAHx+PbTyFGo3Pl59jUQGCBqfLuAvd1y9HC5Ovnft9CWuwyuShKNE5ce9Z5Mc37cP+g52YsbR0gOwXWiQpSslJAvd5O0fjcrn633mG5emC6QGZdZfQt7PkSrchYaHbwXFXPDDVMfibwlw5fTmFQ/puspDVc3R3a7qMIXGF7cI087IXB5WSx1Z+v2lWLQeVxdjhJoPG5wvaFRpseqpd2NxJQduls9ExcPPvXiA/v/98XwIwavgAYPOfo6ySOUjXw8kNKgsYeHaXSxCANa/Eu+40BwiLVRMxli+RcW03gORrmsLei/EXW6Rbqk3YqO2OdwcfXovLllsXOk+6FMjKmW3DYkY+HdSRjA91ewkckKt+XdAzE0Tfwszy5UtDAMaXfSToKbrHYh6ccnyVvNk5r6E1pagbIjTv70mDxSdzWXFefW8SmpfI0bGrSQVR0WjkxtFh5U7DTSwcT7bpu520KcYpugadTq5xitLJaApx2Emn4DASIM/Yh3JutvjlpvjOI8vMDpVJQA7IE49XeaiMQI6Ztxhj6bz4jHmfFdLuRn/YR1c6xs92dJ5vkQoJPQlsFjehYxwKZvUMZw1FIPGW0qi0upVVpMMQEbzLk9eDB8O0wT7idaURoYFPPK06MGlHPOi5FOH6D79HF61r+sMpXgv/ofsBM8MsAgiI5ME1lRxQhvo3Lr0+rZ/s6vn8uP74SBZXVCI5hxscT5aAUF5usdktCavE/y1hH777+Fw8iJP/dzge2vRmcosr1o3kEVyPKSGNKyq+WMf5l4MSR35faejv0w3dPq9ryuZmO7S3+7ft0+GTrkPcc3To6qDzvcrpxLt1CP21I+75xc9ASGBNDuw3YgEdkLZjbJeXg7g5ixNjQTJ+Avz09PvJfB+6U+6v+XEOIxQ6v8M+pk7cf+i4ceSZd+4BdJzKRoqdA2Yq8KMl9J86Cy94vzneGKEQFY0QoIWvqVg4rvScu6e/h5vP6Rx5F8kX9Hu7Bl6SeSVUbc1EGb0uSf2gzYdhv+RWkLyZ/TfgNfgYN+4tTkR5ZbfA5u4fBBcY5j5GnNzEFEw2pVNgUGUSK6WAuEswyf56l7vxVfGg4lop9avMZT6ciojQ6FSNXnQmAPc1xhXbXz/LpEFo8Nleu9nKSKk4VYqF28w0VnAjl9nIjlSA/1B9eAl0dcjs+thA1iJM3TPqHILtdwkhZMcmZjsHZuZIydYPd2doQn1a/m8R9iQZP23t71vLVOVYWBgdWbZ0VwsXwWzPx/CCLAYDhwlqD66J3RLO8XNGOqSjOb+/Oj3H1PwcVWbcwnTW6981fw/cUP7Kw1lE6aKiOALyjanIGkohRkONVvlnh8iXFuZJLLJMVQqDLP9BxkwfpOcIshej3ccyoFICxcSvMYZ7ULKpBx7BY6B7kM9IIRDLhK4DTSw7a+Ge5ExKOcolVymNanHk2LzF9hdiPLBJGZbIvjhtOpXzrPjZ3l7hnDJvKMsvMDsWFdC4KEgUUA5Ird8kseaGOmk8qr6uJxcvWJfV5+IiFWiLe6NsyNpFZsjX6Wt7usYha9eH4e0SJsGFS3O/Gh2RLvGG33Fvso9Ik5G6/vhoqvkHh2efsYTUtrb3Yu2IT2BxwMvMJa0yXL55vlPEITWN2JbE5eUB83xD8ctwOGqCrwHtfzY+/9Gvbqtkpx9fP75+fP34+vH1N1//8VL64+vH14+vH1//jX39KJA/vn58/fj68fXvfP0okD++fnz9+Prx9e98/SiQP75+fP34+vH173z9KJA/vn58/fj68fXvfP0okD++fnz9+Prx9e98/SiQP75+fP34+vH173z9KJA/vn58/fj68fXvfP0okD++fnz9+Prx1f7/f/3/AMLwWZ/wZExBAAAAAElFTkSuQmCC", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "px_per_um = 1.0 / (RESOLUTION * 1e6) # RESOLUTION is in meters/px\n", + "SCALE_BAR_UM = 10.0\n", + "scale_bar_px = SCALE_BAR_UM * px_per_um\n", + "\n", + "composite = np.zeros((green_image.shape[0], green_image.shape[1], 3), dtype=np.float32)\n", + "composite[..., 1] = green_image.squeeze() # green channel <- ch0\n", + "composite[..., 0] = red_image.squeeze() # magenta = red + blue <- ch1\n", + "composite[..., 2] = red_image.squeeze()\n", + "\n", + "fig, ax = plt.subplots(1, 1, figsize=(4, 4))\n", + "ax.imshow(composite)\n", + "x0, y0 = TILE_SIZE * 0.06, TILE_SIZE * 0.94\n", + "ax.plot([x0, x0 + scale_bar_px], [y0, y0], color=\"white\", linewidth=2.5,\n", + " solid_capstyle=\"butt\")\n", + "ax.axis(\"off\")\n", + "plt.show()\n", + "fig.savefig(\"fig1e_GUVs_sim.svg\", format=\"svg\", bbox_inches=\"tight\", pad_inches=0, transparent=True)\n" + ] + }, + { + "cell_type": "markdown", + "id": "c26d68ad", + "metadata": {}, + "source": [ + "## 5. Plotting the Ground Truth\n", + "\n", + "The corresponding ground-truth phase masks: green where only the Lo channel's mask is set, magenta where only the Ld channel's mask is set.\n" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "id": "99051dfd", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "COLOR_CH0 = [0.20, 0.65, 0.20] # green, ch0-only\n", + "COLOR_CH1 = [0.80, 0.20, 0.55] # magenta, ch1-only\n", + "\n", + "composite_gt = np.ones((green_mask.shape[0], green_mask.shape[1], 3), dtype=np.float32)\n", + "composite_gt[green_mask.squeeze() > 0.5] = COLOR_CH0\n", + "composite_gt[red_mask.squeeze() > 0.5] = COLOR_CH1\n", + "\n", + "fig, ax = plt.subplots(1, 1, figsize=(4, 4))\n", + "ax.imshow(composite_gt)\n", + "ax.axis(\"off\")\n", + "plt.show()\n", + "\n", + "fig.savefig(\"fig1e_GUVs_gt.svg\", format=\"svg\", bbox_inches=\"tight\", pad_inches=0, transparent=True)\n" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "deeptrack_fixes (3.12.8)", + "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": "3.12.8" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/tutorials/1-getting-started/DTGS186_fig1f_synapses.ipynb b/tutorials/1-getting-started/DTGS186_fig1f_synapses.ipynb new file mode 100644 index 00000000..d4619479 --- /dev/null +++ b/tutorials/1-getting-started/DTGS186_fig1f_synapses.ipynb @@ -0,0 +1,456 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "id": "d0091d0a", + "metadata": {}, + "source": [ + "# DTGS186. Figure 1f: Simulating Synapses (Colocalization)\n", + "\n", + "This notebook simulates a two-channel colocalization-microscopy image with DeepTrack2, reproducing the synapse panel of Figure 1f. Ellipsoidal synaptic puncta are rendered in two spectrally distinct channels (`ch0`, `ch1`) that share the same shape and orientation but are offset from one another by a small, random displacement, mimicking pre- and post-synaptic marker pairs. Each channel is composited over a shared filament background and corrupted with independent noise. It generates two matching panels: the dual-color composite image, and the ground-truth channel-overlap mask used to generate it.\n" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "id": "5ed8f445", + "metadata": {}, + "outputs": [], + "source": [ + "# !pip install deeptrack # Uncomment if running on Colab/Kaggle.\n" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "id": "166b75ea", + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/Users/cmanzo/Documents/GitHub/Environments/deeptrack_fixes/lib/python3.12/site-packages/tqdm/auto.py:21: TqdmWarning: IProgress not found. Please update jupyter and ipywidgets. See https://ipywidgets.readthedocs.io/en/stable/user_install.html\n", + " from .autonotebook import tqdm as notebook_tqdm\n", + "/Users/cmanzo/Documents/GitHub/Environments/deeptrack_fixes/lib/python3.12/site-packages/torch/jit/_script.py:1491: FutureWarning: `torch.jit.script` is deprecated. Please switch to `torch.compile` or `torch.export`.\n", + " warnings.warn(\n", + "/Users/cmanzo/Documents/GitHub/Environments/deeptrack_fixes/lib/python3.12/site-packages/torch/jit/_script.py:1491: FutureWarning: `torch.jit.script` is deprecated. Please switch to `torch.compile` or `torch.export`.\n", + " warnings.warn(\n" + ] + } + ], + "source": [ + "import random\n", + "\n", + "import numpy as np\n", + "from matplotlib import pyplot as plt\n", + "from scipy.ndimage import gaussian_filter\n", + "\n", + "import deeptrack as dt\n", + "from deeptrack.backend.units import get_active_voxel_size\n", + "\n", + "\n", + "def seed_everything(seed: int = 123) -> None:\n", + " random.seed(seed)\n", + " np.random.seed(seed)\n", + "\n", + "\n", + "SEED = 234\n", + "seed_everything(SEED)\n", + "\n", + "TILE_SIZE = 160\n", + "offset_fraction_range = (0.0, 0.5)\n", + "snr_range = (3.0, 3.0)\n", + "\n", + "# Physically corrected parameters: 100 nm/px is Nyquist-sampled for NA=1.3 at\n", + "# these wavelengths.\n", + "RESOLUTION = 1e-7\n" + ] + }, + { + "cell_type": "markdown", + "id": "f24ca12f", + "metadata": {}, + "source": [ + "## 1. Building the Shared Background Textures\n", + "\n", + "`create_background` produces a smooth, low-frequency intensity fluctuation and `create_fil_background` draws a set of randomly curved filaments, both used later to add realistic, non-uniform background to each channel. `random_ellipsoid_axes` draws the three semi-axes of a synaptic punctum at a physically realistic sub-micron scale.\n" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "id": "45b4c698", + "metadata": {}, + "outputs": [], + "source": [ + "def create_background(scale=8.0, inty=0.20, size=TILE_SIZE):\n", + " bg = np.random.standard_normal((size, size, 1)).astype(np.float32)\n", + " bg = inty * gaussian_filter(bg, sigma=scale)\n", + " bg[bg < 0] = 0\n", + " return bg.astype(np.float32)\n", + "\n", + "\n", + "def make_bg(scale=8.0, inty=0.20, size=TILE_SIZE):\n", + " return dt.Value(lambda: create_background(scale=scale, inty=inty, size=size))\n", + "\n", + "\n", + "def create_fil_background(n_filaments=20, fil_length=40, fil_width=1.5, fil_intensity=0.3,\n", + " size=256, curvature=0.05):\n", + " fil_layer = np.zeros((size, size), dtype=np.float32)\n", + " for _ in range(n_filaments):\n", + " r0 = np.random.randint(0, size)\n", + " c0 = np.random.randint(0, size)\n", + " angle = np.random.uniform(0, np.pi)\n", + " length = np.random.randint(fil_length // 2, fil_length)\n", + " r, c = float(r0), float(c0)\n", + " for t in range(int(length)):\n", + " angle += np.random.normal(0, curvature) # gentle random walk in direction\n", + " r += np.sin(angle)\n", + " c += np.cos(angle)\n", + " ri, ci = int(r), int(c)\n", + " if 0 <= ri < size and 0 <= ci < size:\n", + " fil_layer[ri, ci] += 1.0\n", + " fil_layer = gaussian_filter(fil_layer, sigma=fil_width)\n", + " if fil_layer.max() > 0:\n", + " fil_layer = fil_layer / fil_layer.max() * fil_intensity\n", + " return fil_layer[..., np.newaxis].astype(np.float32)\n", + "\n", + "\n", + "def make_fil(n_filaments=20, fil_length=40, fil_width=1.5, fil_intensity=0.3, size=TILE_SIZE):\n", + " return dt.Value(lambda: create_fil_background(\n", + " n_filaments=n_filaments, fil_length=fil_length,\n", + " fil_width=fil_width, fil_intensity=fil_intensity, size=size,\n", + " ))\n", + "\n", + "\n", + "def random_ellipsoid_axes():\n", + " # Corrected to true sub-micron synaptic-punctum scale (~0.2-0.8 um footprint).\n", + " ellipse_area = (np.random.uniform(0.2, 0.8)) ** 2\n", + " radius_ratio = np.random.uniform(0.7, 1.4)\n", + " major_axis = np.sqrt(ellipse_area) * radius_ratio\n", + " minor_axis = np.sqrt(ellipse_area) / radius_ratio\n", + " z_axis = np.sqrt(ellipse_area) * np.random.uniform(0.2, 0.4)\n", + " return (major_axis, minor_axis, z_axis) * dt.units.um\n" + ] + }, + { + "cell_type": "markdown", + "id": "a7fe965f", + "metadata": {}, + "source": [ + "## 2. Defining the Synaptic Puncta and Optics\n", + "\n", + "`ellipse_gt` is the ground-truth punctum: its position, rotation and `number_of_points` are shared by both channels. `ellipse_ch0` and `ellipse_ch1` each reuse its radius and rotation but apply an opposite, randomly-sized `shift` along the direction perpendicular to that rotation, so the two channels' puncta sit symmetrically to either side of the ground-truth position. Two `dt.Fluorescence` optics configurations image the two channels at their respective wavelengths.\n" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "id": "60e44a59", + "metadata": {}, + "outputs": [], + "source": [ + "ellipse_gt = dt.Ellipsoid(\n", + " radius=random_ellipsoid_axes,\n", + " intensity=1,\n", + " position=lambda: np.random.uniform(10, TILE_SIZE - 10, size=2),\n", + " rotation=lambda: np.random.uniform(0, 2 * np.pi),\n", + " number_of_points=lambda: np.random.randint(10, 15),\n", + ")\n", + "\n", + "ellipse_ch0 = dt.Ellipsoid(\n", + " radius=ellipse_gt.radius * [1.0, 0.5, 1.0],\n", + " intensity=lambda radius: (1.0 / (radius[0] * radius[1] * radius[2])) ** (1 / 3) * np.random.uniform(0.3, 0.7),\n", + " rotation=ellipse_gt.rotation,\n", + " other_pos=ellipse_gt.position,\n", + " shift=lambda radius: (\n", + " radius[1] * np.random.uniform(*offset_fraction_range) / dt.units.um # physical, in um\n", + " / (get_active_voxel_size()[0] * 1e6) # -> pixels, live-synced\n", + " ),\n", + " position=lambda rotation, other_pos, shift: (\n", + " other_pos + [shift * np.sin(rotation + np.pi / 2), shift * np.cos(rotation + np.pi / 2)]\n", + " ),\n", + ")\n", + "ellipse_ch1 = dt.Ellipsoid(\n", + " radius=ellipse_gt.radius * [1.0, 0.5, 1.0],\n", + " intensity=lambda radius: (1.0 / (radius[0] * radius[1])) ** (1 / 2) * np.random.uniform(0.3, 0.7),\n", + " rotation=ellipse_gt.rotation,\n", + " other_pos=ellipse_gt.position,\n", + " shift=-1.0 * ellipse_ch0.shift,\n", + " position=lambda rotation, other_pos, shift: (\n", + " other_pos + [shift * np.sin(rotation + np.pi / 2), shift * np.cos(rotation + np.pi / 2)]\n", + " ),\n", + ")\n", + "\n", + "optics_ch0 = dt.Fluorescence(\n", + " resolution=RESOLUTION, magnification=1, wavelength=488e-9, NA=1.3,\n", + " output_region=(0, 0, TILE_SIZE, TILE_SIZE),\n", + ")\n", + "optics_ch1 = dt.Fluorescence(\n", + " resolution=RESOLUTION, magnification=1, wavelength=568e-9, NA=1.3,\n", + " output_region=(0, 0, TILE_SIZE, TILE_SIZE),\n", + ")\n" + ] + }, + { + "cell_type": "markdown", + "id": "9fda7f0c", + "metadata": {}, + "source": [ + "## 3. Building the Shared Geometric Pipeline\n", + "\n", + "Both channels are padded, elastically warped and cropped identically, so that the rendered image and its co-registered binary mask (built below) undergo the exact same deformation.\n" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "id": "779ff4c6", + "metadata": {}, + "outputs": [], + "source": [ + "scene_ch0 = (\n", + " (ellipse_ch0 ^ ellipse_gt.number_of_points)\n", + " >> dt.Pad(px=(5, 5, 5, 5), keep_size=False)\n", + " >> dt.ElasticTransformation(alpha=15, sigma=2, order=1)\n", + " >> dt.CropTight()\n", + ")\n", + "scene_ch1 = (\n", + " (ellipse_ch1 ^ ellipse_gt.number_of_points)\n", + " >> dt.Pad(px=(5, 5, 5, 5), keep_size=False)\n", + " >> dt.ElasticTransformation(alpha=15, sigma=2, order=1)\n", + " >> dt.CropTight()\n", + ")\n" + ] + }, + { + "cell_type": "markdown", + "id": "26a73d5c", + "metadata": {}, + "source": [ + "## 4. Building the Co-Registered Masks\n", + "\n", + "`binmask` collapses the point-cloud rendering to a binary footprint (no erosion, since the true footprint is wanted), producing one ground-truth mask per channel.\n" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "id": "4055f61b", + "metadata": {}, + "outputs": [], + "source": [ + "def binmask(mask):\n", + " return np.sum(mask, -1, keepdims=True) > 0\n", + "\n", + "\n", + "mask_ch0 = scene_ch0 >> dt.SampleToMasks(lambda: binmask,\n", + " output_region=optics_ch0.output_region,\n", + " merge_method=\"or\") >> dt.AsType(\"float\")\n", + "mask_ch1 = scene_ch1 >> dt.SampleToMasks(lambda: binmask,\n", + " output_region=optics_ch1.output_region,\n", + " merge_method=\"or\") >> dt.AsType(\"float\")\n" + ] + }, + { + "cell_type": "markdown", + "id": "118f1bd6", + "metadata": {}, + "source": [ + "## 5. Simulating the Two Imaging Channels\n", + "\n", + "Each channel adds two background-scale layers, a warped filament layer, a uniform offset, Poisson shot noise and Gaussian blur, then clips to the valid range. Channel 1 additionally includes a second, sparser and larger-scale filament layer.\n" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "id": "a302bfde", + "metadata": {}, + "outputs": [], + "source": [ + "sig_ch0 = optics_ch0(scene_ch0)\n", + "pip_ch0 = (\n", + " sig_ch0\n", + " >> dt.Add(make_bg(scale=10, inty=2.0))\n", + " >> dt.Add(make_bg(scale=5, inty=0.3))\n", + " >> dt.Add(make_fil(n_filaments=10, fil_length=5, fil_width=3, fil_intensity=0.5)\n", + " >> dt.ElasticTransformation(alpha=15, sigma=2, order=1))\n", + " >> dt.Add(lambda: np.random.uniform(0, 0.1))\n", + " >> dt.Poisson(snr=lambda: np.random.uniform(*snr_range))\n", + " >> dt.Add(lambda: np.random.uniform(0, 0.1))\n", + " >> dt.GaussianBlur(sigma=lambda: np.random.uniform(0.5, 1.0))\n", + " >> dt.Clip(0, 1)\n", + ")\n", + "\n", + "sig_ch1 = optics_ch1(scene_ch1)\n", + "pip_ch1 = (\n", + " sig_ch1\n", + " >> dt.Add(make_bg(scale=10, inty=1.5))\n", + " >> dt.Add(make_bg(scale=5, inty=0.25))\n", + " >> dt.Add(make_fil(n_filaments=10, fil_length=5, fil_width=3, fil_intensity=0.5)\n", + " >> dt.ElasticTransformation(alpha=15, sigma=2, order=1))\n", + " >> dt.Add(make_fil(n_filaments=5, fil_length=200, fil_width=3, fil_intensity=0.35)\n", + " >> dt.ElasticTransformation(alpha=15, sigma=2, order=1))\n", + " >> dt.Add(lambda: np.random.uniform(0.1, 0.2))\n", + " >> dt.Poisson(snr=lambda: np.random.uniform(*snr_range))\n", + " >> dt.Add(lambda: np.random.uniform(0.0, 0.1))\n", + " >> dt.GaussianBlur(sigma=lambda: np.random.uniform(0.5, 1.0))\n", + " >> dt.Clip(0, 1)\n", + ")\n" + ] + }, + { + "cell_type": "markdown", + "id": "31e78c90", + "metadata": {}, + "source": [ + "## 6. Resolving the Scene\n", + "\n", + "Both channels and their masks are resolved together from a single combined pipeline, so the same random draws underlie the images and their annotations.\n" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "id": "619b9b4d", + "metadata": {}, + "outputs": [], + "source": [ + "pip = pip_ch0 & pip_ch1 & mask_ch0 & mask_ch1\n", + "pip.update()\n", + "\n", + "ch0, ch1, mask0, mask1 = pip.resolve()\n", + "\n", + "ch0 = ch0.squeeze().astype(np.float32)\n", + "ch1 = ch1.squeeze().astype(np.float32)\n", + "mask0 = mask0.squeeze().astype(bool)\n", + "mask1 = mask1.squeeze().astype(bool)\n" + ] + }, + { + "cell_type": "markdown", + "id": "71b453e4", + "metadata": {}, + "source": [ + "## 7. Plotting the Composite Image\n", + "\n", + "The two channels are combined into a colorblind-friendly dual-color composite: green for `ch0` and magenta for `ch1`. Green/magenta overlays remain distinguishable across red-green color-vision deficiencies, unlike the conventional red/green pairing (Wong, B. \"Points of view: Color blindness.\" *Nat Methods* 8, 441 (2011)).\n" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "id": "ecb92830", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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tILZWlpuqLBivsNo14fGqw2SLxecwPblJqErCeKGqtrWqNu0Bf6VS1H01zqtMdLwqBgh+Wc86jPU6Xj/Kprf7fLlVXVqn3HfWhmEXDkZd23XU+yAx6VnjYtydymKDnXJdOwb5a2SQZFVaXMbLSJIUHD/PWgyX54sCHCc/3drhbmjr/drm+1k3RxfjVDecUyknUm6ughqAM7jOWh3o/J4NWa2S+qAJANp0nHqrLxxduKHAbC5EyhTwKJ6LE0eLf6iS6nn3rFPu7v5Op8zj/KgsjiyCzl82XBZ58Ej+TIeR98gG4gYFj2FB8Pz3431dK8oMPoczAq5BgnQP5LtFnXs6xWlqfAVPTG5icNA4Q8yJnRNe+JCDs7BOmne7fcEh+1HBCfxU2TcLhbJlqFOVa/Y6VhcwpQ73Ryc64L8DoX7W2XuaM9rwa2V1ZN68Rj/42Cxkwuu1SjtwQON+ClIpIze4ZoI9D9aUrhFVC5k2ZSbfy56jU3mahMMNx6Gd78/CJClBycgf9g8VnGfj4M0b57JW9knw8efSZwDrpck11PvlfXJNg83xHghWw33hmFQ8ZEJqjrGulqW9PL8oy9XH27W2u9spi3kcH5WB0oFXZg7EMA3qgJPcrHer8DFhZOxKYvLzoD2jEpFsn+DMwXtXTbz1WNdE1+h1rAztS2GovF/uR5IMMTPmqnD4O67Jy/xSWXK7tIfdg77neDhqP+rv14s66VyH++lea/798L4qh2VQsFNccDBMk7MnN5OburtF5T8/p241zJGl1p+SkJEj+tTmU8FWybaVQbJ/iGmrcVD/O+uda08sCfbP8yXgUz2pkgN6AZ+e9sKI2V+U+988QOYUXV8romuT05QE9F1GBRciOUGBZ+WE5ZdK7NXfz4F7qbJQiw9cjU7qUKerTmYDwWR8KhO4+Wtt1JwIKvf4IpDRvJgmBVYujC40QcMYj3AUgu18qaYQr+XSPFmLOrZs4HGnYKKSa6oOb3AS4XvrvQ4A/o7vTfmXTmgCOsA+z0FpE5w2Xek0c5TNGFhJ5qlyj8Pk2qpDSzcWLJJOsbvV26AUPIk/qwRv+8pOhyp10yjJc+uE9q+vGAbgo2BA47k344LFqWRZNxmlM748thhRcKy8p2Q7KYv4LNyv3E+unQ4Vv5dfBsh0TJO9kuWkzKcMUwVjnDvNMG2oxe/Hhy/lKj+ra0pGNVd2KIjFeJteypnFV+8n7ARnKKw1Npo+K5neq7vr7syrGcM9IhmYq0xUA5EmAddkLGYE90sB7ziI+rQ+rm08jgqgKSd1EJm9kP2hzI7ONxWdcVxdi6GaJDoIuF/umPf3TuaouG0GB9AG6y3MBuOMen+sd4LU0rSmeejQZ/3xOxn25ZY1diYGt5tuOwHUjAElLfOkJhv3TveB0nwwxt0W7ZPs2xzMvQJyVi0Iaz307JfX4P9D8wt9jwfvM8+tsnwtiEaHOhmvcdZvGiDvLncFrn7wacomOy/qhHEBCDwEx3e7d4rS54ezTlpOOwIdpzC8NbASAiuL9c30pt2Nd+3d8E4BRyfpuopPxiI+v577KS4cyEg4F4QFpg7bNGrRKjsAm6JFTiw+zFqY2YDqlF5HZYgJjCwmBc55KUxrHAs7Og/teD1WSbpUVsFmupvvdGLx/yzy8+GsE5JMggX7ei0uHxhcaEvcWJV0Lgv5f3hc3ECCLgtFGJEbGWTlvM9sZgVIOvvGfLIYhLMNO3XCWVBkKMpil4uCHdwxbSTK4zpaq0EG/nutzdEbEIDqZHn7q057ZekEg9PUmzKhsySb/4ruYTqNskNTiJTxjs60KK2Gc62jtcor3U8y2vbS8dQEbNFTTDFR+dSMDa77YhOs1T3vG4ps8OLASG/CmTfZHmuDQ03Y9nUq3O1SDQzhfBwOe2f+dHSd2euzZp2v5tW1qR33x7a/34u5wb/xXCpF55OCI5w8layXwhp1T1mLdxVEWK+87uPwqOTh7du3bXm3CEcES6Xqgts5v84VjI9T8VTBTkk6hlVcUTEcXk8V7DlUlxvlJb+HHqYsl4zNATLBQ2vTTaNtKUq2RUIzz7eOM5xQDiOqDJ6rd6OBrtwA5HrvD9VkEzRB2X4d2+600+9kjtx7Xp/SHUiD/fmlfelNRQW4BMfpdpiw/8A/9Vnngm5YD5Vi7bTvBYc5gcpnTHPw8/xZz5e1/s0D5OG16DjaKGymydw3sB426nivzQrZUxvsUmWeyhcWL2wCTj1jbcEatAnmQ3Utd8V7I1ApMzX/UY0I43gid/uLjC4d3ZCfg4foxs2LgkVOJW1itxPF/+MGztVs2V3qUoCfqcNOgwAAOnxOA/3K7swrTIZGxqj/h/Kx6Xgrvadr7IxmmwUnc9NmdrkVfJHPLLyShb7csMLgnMFlghnllA2eo4zWwZHPsF2w/OqZc3A/8zgB7hP3gueE6pTvCzcxZen4i6/ABoICdoOaHARdBVLjsJ1XyGI1545rmQwguGMePQMyWL/N6BTQfJ1E1if4G6KgYcfzQ05W9nmtBluwXzrD6hbDzDCNKdXOtqNPMNdB7XUCIV3XYak1oqxqurEzgtUG92ST0zwSbrmfFRhV4RDwDqv+Te/h0JRRal0cXIGdFr2mYByqMDrTz2cxO05Pp37gUdmBPSo/8HtQ04lqa60AGQyP51CDbFj13tQ0Y886ywytapgHZWmiQY27aiCOhfcFk+yYt3sLgiTMHwZ2SDkuGGJfiYUaU27i6aAigLthyIMDJFxSraNxE7jNfAgJnYcqFLMO0kHXYQTTY3TpT4ZMoWBY5ZsHyIcvDxUYL1fdTLBF4XO7IhhzItLYgIen7Ijsgzd0rlIc3KeXOGREXNC5wNb7S5WuWhzTqgtEcIOuwcYh+qc7Jm7jwivdS30gXGud2tP6JLa/UnVA2tkn+1iZhrBRLqq/2DQ6XearuvHH01GL+sv+S88achODfUjVM7cKiFN1B9W13b0UheV6rgBgXLA3WbT/jGuF7ArwPXqjHIwzgt+Q3HAoXP3eTMXpuJyDhIIineCpcCWyDWVJBvnVPYTWtFTA57BR5gux3sTonvmR8c1DNRgA9N1My4YkMPBQoDRumGvJYuP+p6RTN5tF6cYD74OGRK6HDkmoVJsgKVjCJz6vLRzQ700bfbMJ0+3OYaHM2lAE90flN13O8OCMG/OcHMTb9zndT6oyyNLUYHyZqpHBge6Mnk3HmhJmfh3b8eUopUcCNEogsuPn6blfI5X+/nxkXFyL68O1aEi7IrZLaAFv+H5W1SKV0v3YpoepLfcmo780KYSGn4e2e9m1/ete6+Py4aLSfvhYPECV1Oe1LZ8X4bHBGsFhWbthBOje+iu0McEqY+1LBVsC7bC0w/VQsIyxV7rxfD/7pvM7EUmEbuYegJRGw14VjgrgtZgK3BfgA7ENlko8dJitTZWZDuilGBuBS8js02AkVvDc6jHAHnGiFbqVmoPrax2owCw7wwUctoMbPwRHGl/zrxAgCVZh/muB7p1NcGpanZBaPzxBPph4beyrfZOETRsSTAIlx2IqhjciFAVRRXZ1MqbTpps4mO9mWoZu3nrDUTpkxAYNv3DTzU4HNPia0vPB5GCoLvNBJZI68igpriXv4z2LczbvClPiPTl7BOgmQG5xH51e5r+pocVpSzY4LLqB6t5DQ/Im5RqJopCusLO23o3fBMfwENVEYDGxQOYKVqEuAE8QwCUBJRidzUMkqA1FgUj3MME6neZw59TAoQ83Xb7CspJ981ria9KJ9HWWQoQs0Nw+GnX8UiZEECLDHQdtBl4rh4+C41DXUffJTaisEa59rk34mJ3t4Ef4ihxQuhemmfB++FEAez6/MmxoSuYEkuEq23aFsM0aVSUgS4ODuu5UsTxeH9vb17ci2ycL4Rpzv3T9xquw684vBOLZX5SpAl8Im/f6VHl6mdv5xdXHeGm7604BWgcmXWqUZOdBsBSYpugs8669ub7RfpyfCt5RM+a6tNP5pOCeAJCKBRgoFZhK06UytG0Z21kROeAJVEsdqkqQ5gdlkZTJ2/tPIMy60Dq6VuAVZEbPYS5Ore6Fpa5UaVqvrPOl8PPOkIgyx5h9Pocy+anwUNZFx8hhy5AJW1qopINrvK9Ylcy2wwzE0F+DKH53vuste50GYCzGO9IRVidzPVWmiHxwHIrWAB61r0aF0uVrgcDc7ARIlSvnc+mhl9d+gwTojvX3kTUqMG+wljQttoTo0GJyAbXxLM3jIY2mMS69l+tONBfwQzV8rlcFx7vrXXWIlyoVVDYRHNnU86nzvwIIK2C4XIbAG+kaPwPvLrBCAHtlTJQUXjwpybeZ0zaLDM1FWZODsiR+ZADw8Handjqc1NFlAwp34jq5G0/mm+xKG4TDwSc9EEFoXMLmdia0cz1N3g52m82RB99DYFZGDE/wsKuKAMI0dNNxUqnIRlPG6Sw9mnixCQjE7F1oPgb1gx+GzBzOYuSWwp/AspZLe7o+ae2Q2WtDUd6PS3sen7vaSPhluIdTlV/prGuDmaisALmr98ZrUbW8m9+1dy/v2uPrY8f4tGmhqI3FOVSA5Boh6yNAHi46KMCr1dTxhudas95fnl66Sgysbn/et+lxauPDqOyRjI7scX1Z29vhrbIoJSvoz7+sUp+hehG8c7oqQAYSCQVOB50peqipso6EF4+Flaop4wYI94W1P8CNdJNUCiz4hNNR11IBkLjQ7gq7pSy3h0Gy0zBRuP4wGwIbiTcKt9dsFvoQEQbwUG9gvVSmGciMz7G71H4Z9pUR8iuNLwIk8AkcV+Clu1n3ILAKmb/+/eWvG+L6L6f5UAJxul5vTYPOa6Sko5VvIXiA/69wMweyqEE4ubipXNgP6wctTp2E3FROZTKWcapsFGMMg8nKUlt1iVVeW4stBcd4ksJC3MaxuIrbrrfkZCZ8v2vveubE53m5lhSRRavPR0MlFx0wPsRql5bpcCd7ColVXbn1tQjwl1PvuGrjTcV906Y3j1SnJYHMJUr4gSqfrXAJrrPt7Ia3FtwwfDSyJfEZl1PHxPScHNhjLdj+OVDlQFxO5oR5Ar8wdoABsHM2Zh6dsnQ3d5SNmzitRgQ/t6uOsojSZAgXB3xiyPWmfOga9Kk+h7KRu11l3vvK7vfPt6y9HxRgXObO8p8CO+Yaw7HkftH+kh1Slh2LYxi2ga4FWQ0HC2Xf+abmEdwD7ub3SKAjGAh3w+zjclfqruUqeozuH/ecLJ3Dx5mYYBJXDzpPvGHTRc0a5r6x/sn6uN4YtLSH1obPQxvvRpX9MeKQCOM6qzoQPPT6IBOJu9c7ZZgcCmJ9OMiFxyme43htp6mEGIFgVL2ZlB4ObTT+JCPaT+B5y1LQAtggyZsPE9asAhqCBRgAfFRwTtYVa1hIkb9ImuZT4fnnCo6C3qyqy2EdCIDf2cuqeEgSrA9XzCDZ2VdWrueg6RhOtIJZ6dOjTsq9Vd8AyA02CFXSrxogwXqy8bhmoefwwaaLonxa/5EAhm8nkqldd7i4lBUhDofCkrJZGMq408LXxguTHrmZJWLpYEV+JFkVLjLTqxpG6c7FmEFdUH99177rAZYMJNpTcadCNTEhVYYaBEh/xbyC5xGVhQfZhG9sCMl0tRUoCVZubun9cGoHp6Jkv1Tw7ZIpHw5cJ5Fq4Tca0M5DAdKqAR4EX0kLTZng9FXp58xXXU5KSTZz8EN3C1NepkJQI8HcNWXkvDb74FpsAK6HqobdjaQfvlvHXnmvnH/ooV3Od8jAvMZ8TgH6d9Wko1EBuL+/2JDDGZHUSgD1QDZ+UO7RHExg5/rrKpC90awi+SSLQxMO/nu+Bfm4L6XTmioiBhGsPfTPBF8yHFUcy9Q3WseSEyC9LqiU1HE2tKBfY3F74wilwDXbW+BcCYBK8PsmHFKkcXTxYJDnW8BAKUTAlt78dVe4+dl0oE2TI8G7Q0G7YhDk+gNfkJ2T7eVAIAPWezMNJr+PLn3FgjBDIRlzrpOuA8T06KMtCY7ngUpsIAXWO+T2NIyy3v2202TNYb8lfwei0bXcVYAEw0xXW9pt7hkHFKR0N2fVWOVQvBa9MHzubx4gX48lA4rqIkGBD6xARifPHScFFj4Qnb+zJYdcbABsMqrxooUjAws6ahaUh+Wuk9iqETYepPOArHpp40YsOn42emEZXzhDgD7C36lEbl9vNOlIrRSIgQAGDZTA/BL51tw5QHad+HEYoaS1zIkAIA4oGEobu3mFTiokXktRPsAqo7BhEURp0nFLOxBFXtWxXpoa5ox2FchQOthoTtM5JjDqkIC8O5/b5fVSzIHLrExMWJ614VpkQwHgwXW1aM3RS4ZHcBW/LiIBk4GlOCLrGysL6cqnOLIAh1BGYSJgnDk6Y65PSmJlF9OpSlm71SjbJwjsbT4AVEOmcLXOP5hzDgUCuu3BgjXTDIAgr3XG4Xkx6ftapO8EKt6fAgY0NBPHg62FvB+IhutLAqD7a6gnDANBAstU+Jx17Gp4rUs7PB/qdfflyEMGFMiEcvr4dFRw0arc79TplWCCkjjCAqtKeA/CET/s1AT98vxF95rrzXsABkhmleCkRAJFkZMTSWVhMgBpLVWJ5aBUaWwOYwLuDsMVk8sVcKFnoUWfak+oi++SONcimCH/nnWrfWesPa+p5/brRPwRhoewyeuxOtCTYald8TAJ+MFUUxkmIxWCBh3x7AaNfRyS2KVJ/M0DJA4t4lCxWYqz0r0MVVqbrCveFQucTNEnRcePLDdU54kPSjofKgQuJmMFyi4Xc+muAEk6zsZlYW7sqjpRmIUuycrNGEEfkJJeNZ+xrRgCGNcSJ6ud2pf1i7rglMcqaaEOQeFZzr1TplKSUs20E25gpE66SSaEd8smL+5tAymNrI7fbjiFujYuV0P/4f9VStsVJkqFmCOE4CvKkblkwoCv1BW30pZsIbhszBbEAzTZOA0tBRhbrGmxu4GRDSJVBmWayfPJeNPxjMxLr32p15UX4hYjHhZhUtpYENkpidkEZJLmnFIqqarY18GbplwnIBNsyXiN9SVA6lxF3odqwgFS5hpz0XSCAet+oMog6wueBazidajXo1FoCy6V6VP93ukk17WaTutO3qFAIiH0cyDJ1OG00+uqqbkvUnjePyU99DmRzCmRfehEptozHd9y7b15bc9Pz/rZl3Ndw9Co0nkOTS33lAOA5+VzbalesQ0LE4GHrseGtjNu7ciMGYeBoQRjrspla0EWY5jsA3WeHQx1nR0HlL27AtM6TgLs51EzyYT/KGq4ByQtqShDF8yh4xbDze6NJMzYvt6/s9RvHiB/evtTvff1a+cPygMuPqeeCNzrDbehVNLNsCVR+HMqWdkcG1qJSiRE6rH9GoqKI9NLJFRkpZci+qojNhXuFgXItvTnQoUgvlWcqBkwPXcjAt3MYZYFGiainNBkkKKZ2KknwZ4sMfIrdU0hbS+VOSZgi6RtAnRoHtvmQkqPdLPrBtRXbrA2rykmOvEIzJDRvdmDqwryMP/vKw8+iULM5bMpSDZB97W01lW42zp1XFdNmd2s0pLDiWaAAoobch2/AScc9ro/4Xiqs8m9Nkk7pXR+qZNK5srGIUBbnQOIrvX0XNUD2Y4y00NlnjL65WWJkSxwqE+jYR13zLn/XB8ZsWJqAWZN0PCGkxSRw9EBKBl/VDLBt/X6gW2c4bNWwdAU2HeLshcF5VNhqwL9JTUuXC9mw8HhhYXTJHiubGh9vlmgKXC91mvx2QLhxCsy+mEdGODep0NRzl4qI0oWrirD9zOsiYoz61d4tqz9gCqahRW2xFMFNo5dJaP14ut78aErsryNZ5XVHY3dWt4byEj72tlrGizBznVfkYoCQ0w3ilIyXX1u4Bpj8qIBRaEDJxqqIA0t9jZMkyjyDCMFvpAnwFLNYlUGHFjTzefhVwmQz3fPfZPpw9qtR4CpMwNhXpBp/RUTh5zOWypF7KtCq/hK3uWFGkG8KB9zdb35/zRDdIqlpDPAm/Z/DCF4pNPFRpWZqC3LtIhQJqzlrK3Sb62SQMoNpHsp3yHWGhDuQngfFLXX6u+DK3Zpnk9yr9j6PmcZya67lGxzcndc0O4qXRoIhcEnd4xBfyn3E7YzjzdFxcYsVovZz53F07NxO9aIUwnUca4mVVyXVE5bb6tyTURHU4hMIo9sbUtNSkYk4vpwLiaBu6hkmJIe0pWlm7qfSkGCa/hQMlRlDsaBJVCAFWGKjooDTEeGU3VyuQcOMPEHjctLqpLou/XZbciQ8jwc0xjuBspJFzik7hxwolF5v8WDlOsdF5yYtwA1xawjWZxECtcbpy/3X5WVG03CXTmk+UKRchlFBo/xSfZOMPOOseoNeU1Y1gulLYckSUKyvJjqRuYb2t4aGaETo07WJrghn5TK9raGtz6RUUb1YGRYRhAO+Co4IYFuuTEZdH3jWZD9YwMLxZLZDUFn3ATIbn7i10j2GpWP7rUbkqqerL765gHyfDzXBRrdDV7vShA/nqrMpOOK1pJTzzIlZYfXQdFcpx0WS5SMttjqzjcBX61PVplN04cu99UZgINsNnoI4qICLTevuV4SxqPOwTR29gR0/u7z8Llwwl0Zw/50/anL0GJrJgLtWCUCJVSCgPidw7693b0VgC/MyFhiPA91I+0Wg61TJF5sNoKxShzL6ZRpEHCQM453JZ20HT8mvjrZKZvI3sFh00m2IkJyrP2xZ/Iq7+xjufU83Gq3E5T1nt0BTqnbgzJZ2HADw4Vj8vulAoxoK+ZlKstux0481vPuivYl3PF4UrkcWtTh6aAAHN6eAqRxNz4/TTSkpL/b/U4Z4fP7Z3XoP02fZAd3f1e+l3wWuvZq0DyVRC9UKak+DN5rUxo2SPBLw0cwDdk6eKYzPzWpjuXWFIwwnVplLFQ6BOqpcFLkcrmm/HozvilogDMEbu90qiD/akoMfMdx08jBUIRm0XWqw31eigbnkl+cU+9ruai7EksWHq8A/h5MPQemqFLzscaHrO861SZQWaCeGHpIaMBnABIY7V5EZuYmJWtF/04/wRp0JUYcnubbxvavW6n5IAqcIj7orhKF4LjhRXeivQ9E3TPLSHVfTcZXpUhPgXtL9rsrWhbJTvxehYOP5RkL5KIDwxXPNw+QuomWJulkpzniEyM8wVA29P0xNvBmVqpO5mX/xB7V6Yb6tO8KFHefhbnRoDiXT6QWVrBKy5qCk20zxlobm69gmnb/4fXAMdjMOC2ziRO0olftz2m6AMFLkizKNAcZ3gdUkJB/u5WUfz6kdmAHvTffGE7vXLt8RQfLcxL0tFkNhovwar1trm3/vLHlNzMgOBzBKvrtAN9aXATFNIZynZIp9ETXtm2ZleOOsxzFCbIsZGdgnftp7DI4ZlREySRQisgJ3JQbufDgkoM6yfJKZQt+X9rU7aF9N3xXZT8lHS4z+3M7Ho/tzf2buj4mwG+liZLbXe3E49lAgXFyeOo1TbPq9nL+/96hn2yuyiYFarCBQzLvBFdxQJF0ggMOhUfHEi8HUGAFYCV1kXFOBzs9sKhrJ6bREIw7fE81VjCWNSwRDLmX0KHttF3HyPs9QT++FvRFtq5kwgYUudc8Olk+vQTbuk3GgiPXS7aXgKgkyBVDOLt67c2YkzyyXrPe+sFsFkunKJmLGfGD4Ly8PxIoN3tjYBLtfiohmXZwiADJuHksE5oYmbRfIUB+f/heF5tTiOxP1v50wuZzSYyuBQCr8xnHmLgt89lpODSD0e6U0rHbOnbnhoU6QdDigmHkGqcbOoUQZvNaOaW0UKCMBBD2DaMk44LJmowgDai8VCeMbIaRBD1zbaMGMaWx0F1JNhCBbrJHRORXpJMx5RQ2ZuI4Pysj0nXWe4j5QjLc2LN1ustUZFxBkSFt59q5AdL9NKH/TEv93K6yOq4P10bEaFzaMYnwIhTNyHBDDgoWUEjp6rauo7JWUbCO1SBK5qp77JK7f3bu36Ey7RCztbnCaPAilksNWQPegIoktSm1fhi3QeOK4IjianfUkC4MYY+PR6mChu8HWXH97v53sjH77vidsgWN0KAq2M3t+POxXb5c2vxPc1s/rj0Ig6WyRoVLrdf2tDwVZ5RD0YOcOv3KzkbhK4oBQIl7KZUI3dF+gNiLMxn3VuMbLJz3INL0qWARUYvAExnOtZ/Lom130TXP+g2RWhklmOO1KhM+75bGpIqOAWLrQwloKe+Na7POkESyJkNpiy8nGbcabsMqsn8O1zihc00g/S/AV1cHZYLzYJVUM/1s2SlrTQaYPZT9F1lvTwNM05P5iZMR4aY+FDSegzWRCqw0usW9tLdrDmJJR80TRmGEoogKMk1YwTF6gVYqJX8VgeVXkBrK9svT2WQxhL6TmwhtAknSfBt7EO1lGjpaMO5CRYqnzeM0Xry6tOnTEeWCpFwGdHZ3TsTu8bY4E2C77tm/gj11aZcxx1B2Iv/rfoS+8Fv8VD8fErUbL1vMo7P83ZAJr0sbIo7m1hbrQLAShUUrNxVdiNvgok51MI1lmxV9lRGz0HygdEqOqSnpMPP/GdQVmshX+nCf5JERqgPoBo9KJ7KtnLrGHZMd5LN2/BKLtA1RXMGRERK4znuGjf7sLF7XjwMgfoEJNoMlYjAXDkM1i+7H+vV2FIH68HiQdyFBUrDFelbJzS/hXPupzT/PcqPHI5EgI74fpTUHrw9urZkNvpYsSGvE2VnoIDHDTcMrvN7udB3ep69pX4ceVaIuMVksh+Vca0EWfRkVASnfTJA811f32wmHsDWgBB8ySjRC+DdJXHvN4oiegVqDr8+ajNaZvTw24TJ6yFg3bPbIh0u8WW2pxn3OWBOum4yAN/xLfWYHyd4I2gxn65Z7UKy4Nk4+tiqemFunybqFzHpCYQf/uPlHcttZIRsaX3D/vqd+Danh2z/XKMlc6HS8JO63K3McVdRUQXVAab1cSq+Z6XwoDo4F1JIl6IO8UIfX4CaZI1xdGoFTYnt2rSltupBQnZaatRLvRXV4kbiNq8wDyAyzKNkwbNjP6+cC6i+FcSS409GMH2UX9kchYZxQuI6xDRkheNMzQ4f3GqVMMjF9Rnf2dFAaM5IWeb3TKNnw5aR0GE516kH0ZnQlXEl4d/Zy5FpqcJEzdnWUGU5k55zYc6kBgUHuZG9BGk3j/sZJyywXN2/Ucb/OX42Q6J3AnRU1BC00wZzy/GKTN2PNBJ1p1khSddrRHXtj5rDR5D0CI3Z3502lwAa8m0XsTweUoLr7fqfM9fWHV5XSL29fJLt79+O7tnvctbsf78o9m2aOXaUZavV49yjz5vmlOv4yov3PRVZXACB4sMbovF7q/iXL1ho2pCPMkZIefDEqG7LPS40USYCUJyTfc6zDII9QoYBtuMZS4CxTe3N6031JNaBqPBVVy0YuCoxU9FwnN8wYtgUdKlZzGYiVA+vhUJmjPCjnq2bRRLIapZmqiPFca3I3FdboiaBKGsBIsbg7VHMsiiZed8bCj9e8ziVD5X1c1lu2Cs47V+DX3vZMpU4AzwwZK2rivp5GUDipnQ64bVYZcnLEryRnLDNkjR5Boni961MsRb73bCutQYaesS84WMZL+9Q+dZepv+bxLw6QkFrz0Id2gEx6HO10TgV573kzpLESjCKcuC1ekcwxVJfchGhkI1XsGlMz9TsZdTNSUzhJusIuHeKkE/F9uFM6ea0IkDlCq3I43UEecYdJOZ9AmKAUd5LMwVbG4o7kFnvRab3WJDd1M5nr60C45aWlbIsSQNfMJX73TkxGaAyxZ7UZwkQGxxceeM7ExRu0QiJStP6aHpamE9tdxGRCwpnsAt4HMpkWI90rwdRNpRB/030NeyAqnJzyOtB436Eq0YmlkWJPxPmxHG6YDrh72LXdW//6oUyNVdazKTDtuFvFlZ3upprj/H5tw2Pp/+NGHYDfN+RmjEDWTcNkcx3TSIwJSCg1GjjlzDlZWR+BEI6p743WCb6JbtQJZrChgnTGHoEbClP3DvBX7wjb7Sj3Pvip9o7i/np7TQeIDNTqGX/umXmqX31WpIJmA6j8JNjz4+oBrp3rvOUdJrtWJzmE3KjqbIW2lQAmk8u+0Zp2o6cr7TbZb48TzgRT6QTa+OW617vIGGHWsVkLwW3DtOhsi1+jxMZqKbhN3lBOtiwACfqXdyVjwvyAkxxqx+iukgFdURCxbbpW2k5mkX8TlreWkURK0V7KuTsq3iOlsnEGcdUsr9PUvPUqqaHI6h7rEP9K0Urg/83TV2l86ADCaex2vL1ZwXeCH2bYGBtAg4DaLNmbutvtbc+kklGq/NtVhvr++r46u3QTxta+7L6ULnc+6dqpWzoay/Fgqox1+LR+qusK1WTDkesk/LFKDYY86YSfym6KAesdA/LGSFmbDmXGosoaDQ34rmg9IuZ60/Ng2Ls+031ToDq/MV7FKE/jttw7MDCN07C6iuwluLGwLhp/cWTi/TPc7d3UhoehPb1/0kiB49tju39z37778bu2/LC00789tdf71/bl8YuuOxhk/DlZc+r8/qEcrHd/3ilgytB4rrGiOpBscJyJhxm6JSzRgSLlPvcIySj3mq8EfN1rRuVaAZYDqvM+93UtyBTBQL87f6c1humraElrjadAb819g73APQN//eVcb5XVHjmbElH8T0bf0syzKQkHm4xpl7sbZIB/ZBQzjKu18CBZGdcjlQifRZJKXL8ttNjva3pit+Gb60BNQwQjivQYolQTYZ5mkGlEwT11QAxVDQkq8xefT9QxSPJt6Lgm76W73ce9H/rptYxfUuVt6UWZE5VmZ/jQfYzI9euxxd8sQPZ0t/ORjRMkgJFB4f22HQFrF44s4Prxm0tzJ+j6Edxwe5qGPxW7K90M86W0uH1qhO+3PY2+On3Q5m46ssEYI3/qfKmhAmes7sMby6nM94oXZ4x064TdJVb+rF+NS90+TDfZmk/kZzth3Fy5NImiXc0jmGU2bK5bNlCXdCU7N66lOzbdRsAqc4NWlQ6uYRQFWRQlEPJNFI6tnDrjZBqT4QOea9MF75pfsxr4JT0xel0bnKRi6LxNBxZl8thveQMGflCWbS4l/ptfDl8UuOP3yefSPYJFcr8TxCBSsidAdoeeTQat9xo+41ZKmTELZM02+O3DrdKZ9iRAOQCZgysiv/0HkSUm2wv1Rc5RQ3EQQ/lSwBEtsO53NwtOlutu7fYrHNysvfy+VWVpjcQoZsOU6Pst++gXnMUtT7a5okvmr+TPJti9I+0g3jNL26UpcLsS6zi/v/rPZN/Q2HMmnjENWxltLPBS6fThc5uBdpsP3Z3b1b22OCO4aZKAb59B3lWmsgVeQ9qM8D+2/jK5HT63L9MXDazPfJRwF1MupzO29UTUDQc/cjOA5yMzlW4XHTiBDtzEKb6kdDgfY9RpnppKblQAPpl0sRi25K42D+lWQ17FeGK+62U3uBg/q5J7rlOfrr2UGuCGwVTsfk3nOARjXo8NLBrQtUbQ8vPyIZyLiK4eRTZDCOG2sA99ScYa811taC+IaLk1fAzOKQqJXeGnfTKcF7a0y4wkpbQlMbpinXMrpdRwT4DyQzOA1uJ3aoDUGyQzpW7R656rTM6gJo0G3XnzQWoG7/WoT7hrZHFkC9wbbSz+/jxUxvbszX+tA+H4cBR++u7yTuNKofJRMn6YPtQApudyJj//4dxO709iBCx3ZWsV+CbB/f34vj1MDwUBoFMH152vUlFpMBljEuCe2gi4Zx/AMLOVQ+biiV8730a/hl0gxc4ySwnTDUv80HMhkSxbG1UsP80/FbwylLkGWHCYGTL1HcryS6YRnmYobBI1Cc/hOT5xn9L7e3XwsZQSPDAmJqmGFMypvGBW4GSe4OTSuTtROTvT6/D8GPVeB9GR1ITFT5HPeXTmOb1W9Xg2TmsYI0P30tzpfGR7TKZLnYNDDUYfijTacljz730MrE1ttmOiI8UVZxk9NpQuPve+SOgxDUnPIfNsuoHOtw6QnaNmvKX/pF1bwgHsA8/ZzCZv5uTunVpbQumDkMWZU5XpcVEGpEOVG56OVMchTIOJUiAqGx5bPbPS/3Hjp+hMa6s3ja2TshWCY/PkNM/y/opn5hMomWHHepyV9NkaPrFjD5a/jzsLz5mxnF3tklP2lxjL5iTW6xiIz33pOJNJ0qJSLLfNJWurjSFpV0t4tGvnitqgII2YTBOMgir3Z9td7ZZksfpiULzJ+xqy5QWf7FiZAZvaBiRSKjF247oXzUob5rVOfMYIiKp1Omvq3evLqwIzpaky5cNwu6cEFCYWXgrfyjqRKzhiBdymKLlsqBzMLNckjzhVRS8cruW2Sxo4qI8o3WRwyrRNNdQh5UZCskth+MbEA91ssbHttc0hFt1yfl7PzeHHz3LIxPHIuKjeK58tYz08t7zjiM74txzY3sDgAAfSmSvAx/GnjHdqD2nA3WbuTWzQtnzEvlZSXVCmWxr7Sx7wFlvM/txWqD1bT8ZrytGWQynZ43Sbh5T12A21N2NDvnmAxPlYvLnjVUOI5rcmMdMBO01t+jTJrVcYl91oXg4v7fXwWiqaxYRlTp19ZXUM+GET3p/vuzSOX2A+bFCGW4mEPtdQHgUfOnA8H11cu63w6+H60O6v98LHZHx7fFFwltHF3h1tup5gZ2qau8nECdiMvUCX2FV5J8v4a83HBhOB5pSyOjZp29/5bIx9YDPCs+szt8HkvGmkzCHIZ/bvXF5+yUbF60KpRAduupHZQzTWwqMp4W6iNprVBpyyPEJmZvMow3bXWZMiPbsjxOxUAKHy6BS3ea7GE2DWQCAz6A0XUBmN3KbmcuGhO0p2Gr4mckXmq/A9l+JtJvsVEX4tc4bX1+qOZhgWuC1dye8+faeOKj+rmSxPi4Zavdy9iDXwZfjS2lNrw9PQdr8vba/mvRzWNv80t8tPF9F8MJqFecA1/Mvyl/Zppo/5qQ4pu6NL8eEgma5u5y/CLV32Wme8hpgR3mjR//JLDIhNUyUqkpCZw73kvbAOqEIyoU/Bxu5Eku95uiYZlqoJ8LKLu75AOxjfGitVcDrXhodUzxpEa609ZqOLYM0a83BYynOSRHHeBKnJJS6ZF5CzLf4wyB4vow6lGJXwHsW33Y3dTjCSVQ63ZIuqGHE+MpE/h2wy42jqe9PVogph4Z4JrqzWDS5xUO2ELiaGx1ho7K3ndIs5w1ra11iHyExjiM37Cx77q7j5cLNS28fKnEdOoJ7j2F1H5gQeINVvlln+wbi2Wt0tVpahPL/MILPw0rjIRdgOjt/iK7r5VsKERxnmfU6ljp1sVCO6se74qoPtEir61WSK2tru1nbe5ebky+mVblz5UNxIt1oU4JWb7m63qyfOQTmJM5DL52B24YDKgNSKla+UDVYfJEOqD+eyGmek2H6FYTDdsqH6Vjd04gDtclgWZtCwNrOqhT1zj/19muND0LzeSrlkNZKoutSSi5OvobL1617NQEkP2bz2VJRJM2qVXc29ZoOqFCNYP9coYm3gvwxt/bkaUgQ4mSfv7PhuA4ccIsm24oYf2CeladZJ/E471mv/wc4vtHooXdRkNKkqAiltGRu9S5vs1fh5Ds4+TiRZt7/CwNBn4W1YapjnVRCiirKNXqZWCh6wdrlj33YTT+c6SYtGJtBo2cgFZzdlt1S+OCBtRSE9+/MaCDbdVVbbDHwDi6RbH4OWNJcyzEsjSqyJzwH3S7ehr7L4sGv4SmVrdd5fw4H8qwIkluXS6vqNaf4FNwPnlMXmCdYGBwOQlRZAKSeWyaYqNRi5wAKEz8ZN2sjzZEZK2YVfHpiiL1bHVMzqF64YiyQ4znTLJ9tzYkm1u9SwKC7+vMiajIsv2ZYBcXEBwZeGi3DHjNZ88RcnFZ3SqAISOEI6V0aEs/hwp59FJxybe2FcU6kwpPm1tjklX4ZyJZvJjVb3bXfQ2ARwLDqdvMdOn3KG2Ck/LFwqIVN2lKkzrAp+Wg6BBG0HO3nlQW0xd1RcRYKOyeLRyNItlNvKXON3meYn4vXloJ+TO8y4k+44WYFUStdyz1YmxqAmoCtcnmiEzWPNN2FUwnCqcQzoiOf7GqvL3CLUD8eLMEYZNzwubX4zt8v7S3v93aueU3gVI0X/sGvnz2dN+Hv58KLMErebL8cv7fJw0bAsPQdBG8dwuqPXyrjgwHKfvoxfak2RCa2lTOlNDHDTuwo+wgeZd433IlXFcNdliqyT0M34nNLuk0W6caPkwKyD7XrqHVgPh8v8eFHIyOacbcaFKdWGOsTp4hpLlIGHM7Jwhdlz8CMjcpADO7zkw9Tu9/finOozQszfDe3h5UFB8nF61PvRgDq66p77LQNksmwOyMXUIg60i5s2HKy2octQOrn4uNpKI3RL9xPfd7Cqyvuc+8CIC+G2y70+y8/t5y4rjSdAr7g8vyrenpnBndjDGuCRaQXfPECmfpdhwVLDl1g0siyz9VBvNDhN7yA4ZbUjeTrICnxUe+PtIm+7mgQAypF04lICxS1HWZ5nRnPRRLlhM2fAl7ExPWy4oFPOJqThltU/e+iYuZWa2evuaR/cvnHN2XLKlOFBIfIM6PA7w0dLFtw7k5uBRAKe/zv61QRYLfp4B7qj3bEqZ6fxz+z61tVYlz0y5UjkrCZSwy1T4KtHsLxk1eBn/KyzhWBdwUp59Ml1lJdoyJnLshlCltkxMT3QoegOPesgXoZxZunuQ8a9MuOGckqNJXiSZJWHWSUglB0JDT60Nn+YNafl6fKkRkzw2Zjwhmyf8rYPmxtvr53mY+6TIAK7N23VTn1NBANOyRpOqq9lEgAlDlxzuv/8m7vlcvvxGhM0Yswybj1Zc6ourC0PLau78W/czbtyLevKAVN7NJM0447jhkzWZRKReIwOyTIzKKsiej2MJ4oq9Us2givAvBfgK2WDUc78Ql2nMQnG0LfDvLbD1HJdk5GqIec9seUHd1zYr9Obm06WfjWzijQFOP3BpcgiCGDK3E5nKQ34JYftayln+J3sguwhw7xEB6LbBg8xG9Bkc06EfEA+GLNq6qVv3TAtYDhtjHlcXnvnOEPDySBFJyEL3Vi7p7zIRkgKnkUvfG68FIY5vErFIHwN6y8u6obSkM63KEGjO5ZTBUhRhjhE1kG4pZo8c6lZFKTt6pMuaUapJjimpBHuCKeRzMVZbwZsqeT35MRAAunYymqeoUvWkjNsKYavcurx+Ao1KjZ0oO0jZZ9s6tHOs4lpAlxsehojVjDL4aBsKvK5btcPBkpWZp4gGFfMecF5ZWe27jTMip85nUpZQme2059IaI+ziOPr27W1x9bGx1EBUgbOz4s4tO1Ta+2fWrv+dJUWO2sBHE3YFf6k7aAsNQwCnh6HHa4fOuhut+cufXdlInBf5w599CBvGzP5kG4oXnLAt8Q1GaMOyqkw4IzAFSbrMQ9xxZaDzalUMfxKmZ8g2XXPjH7wXhBEk0mXNpIIjsp73nonajDYroj2YIlk68I5YZSguTbGrjXg5s5+V5kY1y+k+Ywx0OvCvYxxjOldSjTs7aqKYXxQtp0SPaa1mSBAtSkIBXbEpnLJqBKuj5BsKGV2/9q6n2c8b/oKEVaIe8uUz/Hcng/P2k+Z0/3NA6TwoqgB5kmOKdI/smGwrPJNSYosoN8WaNEyqyvZlo7dRPImHC2jTnHlNkm2K2Q2ATKLIXhFutY52dPZTtda5UnKFJ+C6bZpszrIKaH1TJN04np3b5MxbHmC29kdvcz1ew+2Fyw1+Fu3f4pTkN93AmB3LeIauwPd8VTzSnn/Iu+mC5mvZH4EYeRla0071GtjywZp+1CHjzrpVozoNb3gdSB5KmQyYtlpuYst7MvNOY11JegFZ51v9KuOoVnCGH2vK8u+GTv5f1c+nRw2uifHmhstg4fXtY1/sZv80Z6MRwaUF/6o/t25qaFwfbl2AwRmuqgJxxp1R3Or7oibfLIXbdg49BjykerjUmXhVnggHbQrJclj0cJzXzLRz47bPeP3gZZGSzJSn449G9VeSJPCZfl2tEP2F88JET8cTV1Td4jDF04XXgwG290FjxfzJH+e/LPM6obKNfvf55sDv5oznmeTDD/ZdWCcLbsjAbNnl0kwkqWGg+zflSgZD5Yhtvm2eT7R6zz6OWY3kTtuq0G9NvfJGHtKbB32JE5Oxr55gAQDUGAjQF6mNj1XYKFrpIViXFGOzagoljdlbLEceoBM0MksXelSOTUph2JKURGs+GvorWMKmiaPU+sQxOMQFHsmBUZ03sY8HpaH3sXd4nFbHFFKGzrMtkqKIYDKZmbu2LoqXymJ08zJLN5kyFvSdYK0GjEYfg6VzWU8bd5PMLvAANqErFzPUoZbKeoS2BSLYF+NkhhlbM1Ded5onMneUX08jo9iINzf3wsvA2MFN5IlvTOClM5kOWoSYRqBsqHdd8yW5wYfJTgy5H47o0cO0VZOJHuX0fFlV8RpAq95mMkwNaPam0OKKDr/w67N9zXIiqqESX+H/+3Q2vsmfh7d2MubokqpcYGY4zy089O5nT+d2/Qyld76uTiNCu6ml6U7yuaTE9CGwJ4AosFclkBqTg3jTNcyaBGflm4uM4ssYJDL1HjXg6MamZ7yGdu5qKkichA0xOEkeLpeO9lY1x573jfzuLt7N9xcVE5gqChNWmHm6ZTrNXY3XmpczrVe2Scu5aVmIwj6usjebdwM5IMcsQ5yVOJH8IPV/sObkbVyGm7yyw1RXHvKKrgc2tkv+fe4B8n7FAclf8lgJaYdQGytIDYOMe0bDn0UZrtiEIhlYB124kGfYGpeZOzhMktHe+vXCJD9DUThwYwPD+KR9RDNBbJGRi34DbLINPLRQSeWXuk6aTGZ2xUy9BbnS+UXbEgbz+YMAbo7ry9W8XHkHr/WkCqwGRv5as6KPSpDe0kQD8Cukmlnc048L7euKTbpiE66U3DiPG79qSRqYDOUZkAPY0mohK0uFzU1UsarkYEJMObC7mCLoGxNrbq1xl2yoYX/LZUhp7udzQUUoQxiY0WVOT3hiinjg/w82nKM/ZThXPAAPRQqw9jJ7mhmKetbhvZ6fq0DEnuxYSyKFAbFu4M2GNkHgU/v51pkeeAXEd4nww++/jQUFHh2rY+w0D09lnekaFjHRc2Xrq74w9qWPxcOOXwaRDSndGVEAfBGDlzJ1XxAcUDG/KHbwAVvZo1RAsf5Gzu/xdSn8AajTHJpnqoopiw56HOtOSg0mnipzS5eMJvdWWk4xNK2U8rCArGKRgkCs9UhYJtFoYDipmXweUE3g6sLlunBh7bnmivbWqpZKskn2Z8/d8xl0x9I5rtQRUD/udt4G3gY3C+VZDL19d6NT6uC02ZSqBIc4sBkiz4s85yt90MATuXG8zSxJ/s3oyXSS9iON+n9ATewFBNcoek9RP/9rQNkLkQoEHI8tu5Sh9J+0akB7saJxcJkMdCZEp+vnZXJqGMaOZ1lW6rOWLjWS4Yuk5T9l+7YKuEdiANCJ1j1C7wd5ORTTbw1htY7W9UmgYc413N32pBdh0RwpwETXStTDAPMe/GK6kDjxzejl7l05fA4bHUSsnjup3sdJG92b/pCgvP5ZfnSF5sOmXYonS4zmGPkyx4a15qBbHwmmmCpedZyNmHxqHR0QGIQmWbsGP/juTX43YeT7p3pROqcw5k7VqZHaU15LEMD7gPBkUzjYa4sEGXGZW1P16d2OB80pznzpHGawZIMriuqHHVU4Yien7QmcF0SLw3qDpv+WhsX789Y80tq+HIq2zL080+lbNLGv7P5AZDMn+a2/GVp64e1DV9K/UH1wjoksCUoSYc9XLo3KL+rmRUrNrswZX4JQTuzZnhdaXtRdbgT2g0S2qqOeMjWXYpoCatUUctdaZJtTgJXVBjuVJZdnbq1GSOSxCBrQ5ZjW0koByLwBJMsGXksTKGUT1KbHd3siWjA4081rAzJXUpoG84qIJAF24WpgQGjamOLP5ogDu/0tJRzO8HZmLeGwJmGpOSBctnUnKx1cZGBKmB3TPtSgbHPLtUlz/hdYfascXOf9XxmZKRa3QbINNG0Rh1UU3XmWsmpKhSgX0NqSOCDHPp+eF8zcfEqGO5100WRmQy+74rk+3x+rubNfCoPuXFqd7u7drcvsDaRPcCtnDcc9SWnArhnzojF5jmlU6bIGgzjTzu6iDpAmepBVOokGu9SgAQQZ1QEnUwIvOvp1i1kQRpPzU0mkGXEZLhwSv8vbvC4S5bMlEf03MEWY/slg1M2Ipgd88KnfS3+a5khqDs/3txGZBYATui5GjqMPKoWWCKLQ685ljGIGhAmwiYYaWGuNbnx8/Vzl11GwwwYrgwjulobSGR+h4wfnPkoi2W17Gz1RWkG5eUyCLcSU8HO62+mN+3ueCf5YGbMaDgXJGE+y2WnZh8vi62WyutzdS+lDmFZuOuqzWEckbkuUD60ee1kI1jmc1P3evw8tuGl3re4cxyCOOe46RKuYzqzKgOtNgqfsWN2KRktiYsfJGtbAdKy2ig8eknHYTlYfUSpOVSzTFg8Wmde2woySkygqGTCghhoZppmlY4tTSRBHh43G+OS4GtAJhkEpusEe4Sk41yZfzDMPLZKll+SpmMwEZnufqoJkzGxIHiRUCCGyIC6dJdjwpvsL45Yyd6C34dDqoZjpI0O4F3/TfYdVyL7TcZWLQeH1rev9S+dhvJ6khZa1hxC/1/z+OsCZLtv74Z3hSFOk/6fTjYng27eYZUTC6eL6DKU15fCDXSR90dlFcJ4bJKg95uTjQXhIeZqfHCI0Whw6crmi62WsjsWBdibMy8FSE4hUyvim9c94sBtFqbJt3IDCbXD5b2wHROIWRhwKcH6pA5xZ5lgExA409SStndcyhQPEcgZEIaqgO7xsTqDBF82EgFKzkFgkpx609zL+ChQQmVSsB2nm46VTUqAHPZavHDG5FG5nLXwsmmSecsPD5rOaSwPzd2lvAHhYppLqkFMKggsOWRc6bWkl8qqj5Vl4TijxcpogwRIl/x8Ngxt8XI8vrnNNT68HIqjht/h9aqsMxipNsHJmbkn3aHtT5NCHE0chl727f71vhunqKxk1IE9FQmOzLlRYIdC5GxCGFbs68iCTENSgIwjVYw/gFIoXTfNQf2saVnazPNtM/P+ezNwmfo6Dl4dh3cpmTBNcHOH68Rh/Tg81ueg/LcrVeYNxcSWTr9emz0GTckO6dKDA0vM5bAVyg+fX6HC1VPmTiugbCCsTv/a0N1iJBxmxHE8al3TEIp7d1QvvSlpCbKEFc6wQ9fRGvXsn8BiCo5AMCajy0/VptjKa2woocza1V+3Dsz44Zg920awT3J0XyKZo5Q0eGbm69ca+/r37e81I+Rfrf+qDAjmgzIVyMIfh4/tnw7/1F4eXtrnd5+ldhBRm01+uQ35kaXXcNKNDVDdVR5umEgxMNXALEo44THXOglloEunDSws4yrpVs1l8UQ5RVNGVmsYfDL/BkcXMhQHuZhFdL6dMZiMqtWC5mu5qTuiJY+jMyWkApMJx8IgM2MDBs6ushEOFXW3cYC2r6IyXwbAg1lu5noHQ4qFVPdqdPCSI7U3NQs+RqoxAZFeHLmZbfZDXOYedWUD2RlKwalwzzhsy7aL90ujgexufaiM6GIIAYyO0x91jLuSKm9Oxa8jQ+7dfKo7jC52+5qAtzmg0hHVQbgM7dPyqZ3PZ8EAnbfozFha9VBryNQuX+tpuTdproTDKsyMgEhJPdvBhU1vw+IcWCKIt6U9zU+VqTMcjgPC2c/W4zCPLfOhK2E2B28Ox7yH4Is6TMM3HJpMNNTkwUbMzvV6PXMjewc4c+SpXHZF+aLhJBI094uDBlHAPNQExVDQzNhIRhbXm67JXs2IiCN/bNpCJ4p2ORTiq+3+AlGdDnUYhWvYvp5TrkTAw7x649E+rVKI4XbIGJDMOPJ4hPCZt8ZXsXfbckFzzWNyk6pIEy3nm6GLSv8MCgsjQRH2v8P//RYB8sf2o1xpfr/+XsGIko5gx9xiuI6UAR+OH9rz47PelILjazUYgtnxIVgwCgSrN5UdSnr3iUU17fqIzdiw62RcLMEjcAJ002m20zW6acjrYHE6zedaeNqUpODmC+Z07qemb67mMXuWhxYpJdq8aDHyefoQ+qG85uREnsZINKkZf4BygDGb1m+HoxjicbDJ0Im21l5aPKEuGPgOYT364Wh6dU2XSzdvJTCq49ymch+y63oOhiwULabxZpIRlYiaGtdSgejUz5pCaeGSm7/j59XlPd+oR8In+T5cweky8suHk2hG7a6rjvgs0ibPFSQ1mI3nDEVoIwtTtmhaSu+2oyiCh0gFQrGAZnt/G/GbzCqO2r+cWaTGEKICZ+PC9oLzunzbbqIEvVBltl/hw+ZXl7Y6Uw1cEV4g+4UDdAs1JTjpWk3O3N1o1FjbQ8l2xdQAN6R5hCG1S2iR0J0pKpvFPYmv2U1HAmO4rx57oj053ubVJ+PqVLkMg5v9OT0DCuNsEpZtsyMyx0iMs9Y79c5rXc0a+XhcOi0sxHc1UrlWW/mlebrbJEqf0/ssRHzFC1eCvWttdkK4k4lB3bjiWwdIHrwgmUk6vQDKZFP6tavOpYahz7tuxZ66X1gYmaObI+poLoUDphmgcppAQZlBOcsMZc9V6Q0Qyptzse9zItFlZuPpfcDav9YGCMbIzwFgh3spK6XRo0I5nbPB4VqiUvBJJszlXBiGPr8zrszkkTqAG+xxocJM14vstcLdUgbp5+Sa8J7vDndVTg1V+oWqtHUK0snIQshsZsizWfSZK+6h6wQCsQQ8FZGf6calm6FmWYjKKDJu07LLdAbjwJ7v10Z3eU8FkRk/Xf457tr97l7XXqD7OBYEMl1VGvN3gleYrDcehd0JDzy5BJoPvbyKbFIZq8nD4RN2TTAUncXd8LHwxRgc57Mx3EuNEVcD6Z6GGxeKUZgC0ez2pptlfn34FH6WHJIMJaOCobOLhB5ZrLMcjbog4DhTA29WtoTEzSavssBjhOtuJ6kkh4JGeSyWk7ZR1zjvNxhxcPzI56RNt5qM+4U9XUYX9Iolbu+mXUnma5/S3OPuI2rOIZ9DQYp/t+HDYgoZ+nbJSC/nPiK2Y9dRh5GlgefSaME0my8qH1cRElVQiU11LaS7drdc12ZXLIFQzmSUYsxYa4AeQF7L9nSyN8R4G2x2qXWmqQCm39FDUJPRh5GmaP4VMORfRfNR+YJ+dpN5RW0iiyoWo926gwGJ7mIPw/weySA3XvQCwGZrKfs4ABucbssoBcjMvckXXXE7IUv3jDYzhF7jK6HTKFA4xSagKP1mwfOaBEjjGzExCNcqM1OEI/F7On1WOvRNTHZIJx7DCL+2KBRLcSmFk+JiBPUkoyY8SCxBr5csNkfIyRfyda7BtlsXOVW4lQK4yYDJzo3jhMLUT8/Y9kcexvXCWzPT7UzG79QjVDxjcVq7gamtrtSRZFaIHbbVFbcel1JS9KZLbRpNIASn8xuJW1PULTl8Y1nVx1H4YEjzSi45xpTYIJpEaElaZmDHaafPPXHW88vhUFnPnTZk+CXls7L2zG7flQdmqpq+VglKm0mUIljw/SY9BwpJhcS6VVgfK3ipJKVKyCyfYaqDFu6ss+qth0BsxHhfrH3Z9TkZyZRFZXS/cN7vc1lipGJsMtVM5IV9HazWMl8KkgE/VnMm4x82yitdN0Mwgh3Yj4MPDh8e4Q7rPdqkJYRxza62Y1cUT2q0MFeJn4kLviGjrAmZJFvSG3xTyQcZJPAPh7VnaWcw3TcPkP80/ZNeGHoC2QJCd13cXdPo1J+Wn9S5Vor8ump4kkiZHh6km4BWG6wN84CYJ9grT1ne8FLlRubfksnxo1RZ0ZIGu/Qw+2RamaErsq29ANUcomFDP8ED7LVgeS9YcvH0jBWwG44y3LboFKLLyvPwu+RMS53EIeby587pxKqKL09zTLmoTiA3ngOEcg9tqHEjvR5SNoKFZ0LHBCD+evr8PvminY1+Ow0GmmYPw0N7O74t0T4B3yf5Fm8JqJ2MXNm+eX5R+qScx1hW9BFMKswvJbh9aV/0vj+2j7XQd7OyNFGTMCw+15iGDCAjuDGRcHoz1VjY6dI+nz6rqfDT7id11kXW3vDkVBW4uSbsN0oNQyIlznDJ7/edRl8yTqhF0GeiB5Yc0bzVYOEd6ghH1hK9bvABRmz8Ljp7mQF7VO5WvcQ1pOknbMzKImWfdF9NuJYBLmtn96Kg93J9KQocprCbmdR6DWdm4hrS9cdhZ9iJHSCICgOJ5gprveq+RMChpg3Ecf6d9YU+23SeYLDpCXQs3v6poiZZHLHF/WbYFZsDRtI+YDQPF+uO/Z7XE4ZHSOhaExxa1liHI5nsM14IKe91HahuzCzQITuNpb+PI9Cp4oxUfJhqt7IkzJ6UybI78hnGlobOX+Po8y8OkJ+GT4W9UUpNB3H6dKpOq6I1C4SyR7xEFBqX28yPMOmTQYY31W2e4ujsYVv95jiTSkkTo4nwDvsIyUgP/XfCqNwQEHAOVQI38gDwngmtxTzdNkSy15DJM6aTjbQdbanTePDNst42lKWeoWyUP+IhtoIYUv5qAyKjsylqn0aX0a/OJPOcUaakSRApV4EKlT2nFEx2sR1n0Te0aRF635RsKbH9xSPQRrCiyBVFPjcEElhCBsO20+qSMnwhLYEj42Jho4ohoKJ/Bt6gUSU6koesbUvh3igwsTck4e2G2nLaROsKtSMH0r4OJHX8w/2zucF27vL2eX7JkdNddGYeLDljCvKVjE5lKsE8OB7lKuWw9fbqLHv+jy4zlpnWD3dKUYJxcENr9/O+Nc0PlRGZ1GaYVyoyHaBAN0BXyZA9cC14aTfb4HpuxpPks2pfZt2sHoHrCZh9nwR3Zg9hJGLDj37I5HqmiUIFsbNT0S+aL338xeDMcWOYkoNSmSXth0O9f33P6ikGfI9xWOm9Y324HXi26ej/d01avkWAxFtP5cBU3Sgidj+Rr5dyema4znhWhgD5GYMCLs7xfBQ1QVjT1Y7TbtDwgSFOE0TAsvh/NhCb6fX4WsRkdLeM7yQLc+crgL1E+GuNKlAwwthhndQtVKPkUE0B0UEodZgn47EOuoCeodHljKhGMuYBV2wv4tAeYrDaFxf31u/pcX7UopQpLBniVMqGjAXFUJeTHn5oLJ26V90W0AaPhMZDgm7aUcqHlHXqkJvLlwyGRUU2QXbL9U/GHqpPMCsOOA668By3DkrhBeq14ROuOzV8+iEA9epYh9b1TRHR/3L5iw5HcEUwNLJZ8CORv88XKW2uT9d2+nxq10/XNj6N8n2U4clSBrL8nLKctdyiWPwxsJUB8vrS+aqifG1giq4RdgCjiSiuqR1g0lTK4deDXHwgjT/2LJWM3cPpfzm10HBuz+4og1VSeuBUSt2sj69maduWL8+lTAy57XrjHSYgCHcjmZgqQGrtZ0qjB7rRKAx0EsMGPicMhZ5IxLnHATKYqnwS1n3H+yW1HcsAOfj7aDFHssaofXT4HjzfnrG3lOP8OdMbz5Mc4bcuVVu5oWCIX4zI/UqZFg/HubjPsZYDa83URbnEX0qmyjpn/RCTlNmO196oisikJ1D/He7nNwmQYfhnHEGyitAUpPzATdg0Hj6AGP0+LeWuYRA8F0oXhUxmNC8K3ae7XB23sN2VFjGKBygelJLmo/UU2pjQ9kZ0LM/8tm4IENOHzciBZC49N3D3V3Qb248lRd8ay0beqFPMuvN07XKK9Y0K32tjYhvoITSMnJzJKMItTKkYou12waXLJ+I787uXovfk/3tzw3y1mJdG1RA109bootvSuQQPsVdeku6m63DDwQgH+KGaUgTlzBuXp+F1VdkHX/J4OkoRI3L5qShD4pH6OsYMgk2vrrF5bRmFETNmSfRMH8l1yLiBmCiEpyo1ikfLZoNHSqjParw2G0ZBctPRDZl6+9Xtsizb61UQn5tg6usmp6r4m9qcpN/n3LcNBzdwjGAfjC+89rdrLLxIlYm8jvm+webEt83QOA+G+6pLvpnQ2UcPZM17nX5Veaze/K7y9MeMOvF8owxvSyXWxRruSG/3R39ksoNLeVVSkQXGrsw/ExiF9QdnNMGY5IM40ANiK0VS4pS62yQXrG9nkMHtt5XVNwuQZBzcyJ+vP+v/4eFJNYFZKt2ioRQcGsM5FTYhgu/B9ktQac61IdJY6XjNvnhku2Mt8ruXOwXZ5+fnCrAoqHiOU1EYOFHUyt/dZEy9vHXZ8TQ8daVNLlyIo8pAaL5syMB0WAnqUnbMgwJNul3pvBHwyUwlpVz3nauYTRL+GjQZ3h9qAx0a1h/HzDYadq5DsDk1kbChx4XG5VreW8D9fhhsrN9CXdDnGcriP5+rB9o0RFgwSxH8ZQrr01pEdTqeLt3ixCTSuoeLaZFi3baWbJHP8/n1s8rVL+cvKmNpurGIUVbtnqrBhXkE1nHLp0VjO354+kEjNt5eq/P65/XPFWBpXo0lSxQkgshgKfkckkDuZyzIwoPsi5hGD1LO4V73N07m21EVwbzFgzyULFCJHpmWO5vJIrczmCWXNfYsihOUoLApLDdM1i+slqzTlBcxGTBYyLVb9u3h/KB1JMmnm02CqKbn2tTWM3dyNzCmA0jECezFNC4JEE/7ujasWb33c2WNGv/qUpd7KxJ3COVWg3Vd92jPTs85Ci58Gaq7Hps9BW8oRx7nqyw/ah1jjhpXgbmwB+qB6YOj5pEmWqAOJVde74oPHsOBTRr78of2g6qY37ff9wyZzwrsx3WjGlTy4YYvj5iH8FqqasEk0bJ75O83D5BxQunD0+fN6UNktp43JWw6gsnM+uCezS+BsXbxVqZ48EJ9rcxUxGS+z7O3k4WGKJrsUAvJygad1D7xIh0MAK6b46FDOVWDG2VzxIxC3VGb58YYN0R2FhOLXdcFnp0XsJ7HFlbJ9noJ5yywd1Rtj8+jb2KC+LIZ3WBLtATGaGb1vuONmVnB7paG5Jzr3u9fxgkQnC2L66YbxvtSSiazE66Z0bP8vEddcEiFexrYRB6dy6k28FrzfCSlPVVn+vx8bpfXi2SD0LB4jsghVZkwUweHN08DlETQo1EDceQ65EDK4RjsMg43UVdl3YVl0Hl1yYJiXDv84jpsnrsfQql8NiOGewPM2X7PfDcT+9TgcONR32st9dbSLIyNnmm6ubbFRHtTE3FERuR6amHc9XXIefP3ZkaG5HlmUN7HL4UaaXb2/ZpKZr0dsFlHqVpStuvswAfAHqFbnmjXT5sv3DPbTYbbWQVutH7VrFyL3wu/WbBX5hvFfs9ZbQJ/egWRN0bXn0dfC986QH4+fC5O1uupTh/jbnpj4atRcsAhI8UmmBAIrtV57U4k3gyyZD9Umfbp/pNOHHAGThoI6Wyix9fHXoJ0AHkqFxm9HnZc+1Il0BiK44kyOwPzBC+CGdlFyOh90blMT6kja6jleBsxG5qGHzxXCL+6MZRA5rrJ4n4tPKoPbDLPMfSaSBnVbaN0xa6JDBLslnERu3MZrHLyhYhr6ksfNuR7263JzF8LvMDnTBCPCXA2fSgr3STEfafQTghOfOaY7SLt06HEPKLQX5Bkn2qQvDr98NCMo6UpIDYAXMNzcQ1l3X86iyLCIv9u/U7fHxK/su3jUw2OelsL/svLFz2vfjfBOMOhEpByQEjv7AySDDYQjzIqc1sF2+w85MnGtynjkmWJkuVRw/m8KcuE47lRpM2NtZ476B2/dHmtA47g57lGCnw2h7673BVl5Tor06Zppe4xQWEe5USUr4xDDVQQSEkwQquxCNoT+8oAP0+fxRHGdLfTtLh1mHvgKzCVCEFZVviLPnC59nTQU35qhMJS35v7ns60Ag+yUXuu5nk6a4TvzRwazywCz840z+7y7Xnrna9MFuqmJusUVRjYoqSVrLOpRqN8GD/INf7j/PGmoMGQw+Yiwk0nQ3JOogKXacBbsOZvGSCDTfRubk5ZQH2fBp3kHLCVrlVuhCk6ifTBAmQ8Ye/FZEkBe2O2m25aSsBYOHXsxNZmef4oVlL65LQJQN1xp83plV+xHetcQBob6YbGgt/TCesyVDa3xX2SOSbL64as5hsqO94MMcqmU7fejkQd70qGExzIrxEMMu9B191ZVDd3DQPA2E7+rcv9EiTM8QsrQU/N/cOAxPzE7f1VFh8pJvpcCOkZY2qXmN7I4rK41EomkfG6wQNDLhf4vq9DFFhCmaPxtW1GtFWH9Fxlw+/LmNmvOtSuaLZ/nyx6yxoIBra9rnmEtdBJ/FbWbCuX/j5/oQBJQI85SF8fVA0xZDZ+l59PhpamUvadgha8SDM04rgtR3eYBVEYka2SNaI08jWr6OfMOiMdwon0OtDDAXE1NrjFxTORMwd4xASpmnKo6DrZ3btn505MkmFvsdHt/cwaFhTlKkY8TCq71ZBUDEjS1NmMZgiXsw9bMyFe5f2voaQR7rchK4t2QDbm8lGL3CTq7oxsY87odLv8B4zSRFEN/DGgLaOJ61QqHDY0NvWMCF1elRXQHe/BzIEtZZROEjIFaC4efZB5zmRl4Bn8XiOly6dS9lrXshoT/WKjMpBWdtwVOZqOrDNUykjxKhkDyo0Zm/ANPk9cbuJnB56phQ2w7nKf0pIMTbJBeKXTrNcCR+HnYz4hsj0dZkBw9TwqI84+iaFCxgsIJxoO7V17V4trVya1GprlzZ0SO5hcMMYExZfppTJZ42bvru9qVMG1DCLSxFAXFWnm3uR3eKdosper7l0Gb6Uc56B7XB7b4/rYtbiwIsAeqRow84VYDTcVa3zp0dfnMmc4VUXCSNgEoG675uxc16tNlZGNp95h5vvldLTel7rCVCSs2bYlqq49X5SH8yZb5tbBw4MA702bOesiofNv573uUzdt3WC+Utiw5sJDXZb2af3UA7osz97UQcM1U/d3/lrPnSCohpIxY7q3MtIdHxUUcU5iJ2MEo/t355EeBykqSobJH4Gs4hYOL9O69yQx+mKSJOth8uEG33AuTqwOFHnITOonaF3TIIMtMt51JgbrB+lxmoDAKuHlZgqAMmsLDsBK1cQ0rUwQll2hhPnvj7oWVGjEAvauYC0oc0s5dMW8N3Cdxj0fioMp+a8x/HCWv3mAzJMm0gcjC3G5kz03wJcyBvMROxbCf8bZgjUoo7K+VNQT87ViU5+sMqoSgbEuOUJJ6W4rLrv6kCE/tvrQbZDdGlds1QXRJ3Oj+hD0aJltWppMWVkOp5bfd9eKOuvbcrDyGl014SCcRROFUKf3eBSDaDobj7tklcl+Oo8xHEJ3O2UN5kfPouqG9uxgS/FJds/3ihplG7e8/ygt0slUEJgr0w9NJ0O8lOWYopJGj+YaD7ZbQ12y2Vxdyhr+4WZofMqvrCeNfLC1XHAwwQkxZtjopqU0QY4J5mkT4C1+pb/z+wv7QWvG80++wilduuXexOIumVBULNv7XMXAbZBXcNGoblIRpOSPnFMHgX/pe304SnaKcIGGFdeC8jIH11IBIa+xxdu3XfeeVWVdhIub9eExxS2zulzdBOOM404y8l4NZb/52mU8sN4/3+u/U+PK45IDI3XuK5jquOmOO0lIfEkF0rNM7BH91SGtcCg9UiVz4cNG+eYBkoWrhcQL2kIqLjc5ZbubjT0Spb+di7aRpgxvUKMv7UqiblurjtOb85vKQLAko3t3tOSIcZ3gQvDQIzoHh7nuahi5u2k6hSAme9hVsB8ym8/r5+7as9VVh7emDvSwGdlAdsSIzHYU101jYFsZ/0KhCSG9d+WHUSee9KfooSGGz4WFSS1BxgY9yT6VmfPBCUnmSMakbORSIwpie0bWxfsQfYfOcftccINna29LVR4yyh2vem5eh+eW5CwyLXdthWfBKYx1F4sG6Tg81MmjLs5lv8brapRpe9A9e9w9yhbt/KaUNhrKzs9eS1uNaUigCPBBMRSsLPk4fpT706fdJ2Uab9vb9m58p+/h2n68fqyusZVSglnsgh1TEfEBoYGa96iS87qq2y1zYksXvx++7yMPuB+s4e0hI19Tr8tM7MysI63tXfECub+9wbCryoaMloMhWZWkjgQmMkxLAFlLrG29fgwjCHa46TCSwdMwY7iSklYcXbK+u6bhZEkURJieWzEVhlVqHA3deq4GDY7ufOExKeiHg52ASKPMI39VolJZODPNNFHNGKeosyOTAuIkom3P+qTJXou3Gu6omprTjeAe/m98VHkP8G5zmHffzLbq3sdohXsCtih9/bE+s1zBoC4dS+arTLsd1dGWdwNZvZUzCZhUcx3uQoaJqUw7aA/H9iw+o980QHJTpCyB5rEBOZPNBNMKb6nzrf4741JzUqqJY9K3Fgazoi0BC7NeADUpczqpNnCIsWyCVIwFRDI25yl27+kuxko/apd0HpNRbDOxWFf1x1a7anJ3x/4si+oW/ba36gRsXyNlA2H3J8shUNK8sYehqBfh7W3mJnckbfzF68edxRswg41ilZWTl0euWbLGnPrBldUMIROjoeERsrxXMj7Zj3m5BKvts5K5tsYXkzEGC0rlIOs1HIj8Fcs70Uf4WY8/VfAmkGBU4LG922xICiZviI7dmgEQj9Cupgjv0/dXkIax7K2ioquANmqmbYc713qL9X6VeSejN0QjeR0NFsZrwOvMmvHMaN5rGhZSy5ABOkBtFS69keYA1I1GCLA2q9BemEvvL85lGBD+6s+VSobDGfrd7OqCCkwGV1+r07TOWiVECfw6NO3O1VVvPgwIij2L89CzZLy6vhtuY7+Om0pKZi5o3qkkEGt4SiiHCJDMFnOF5sT10r0mduTwsdAjbj5KSqBNuWr4a8ct/FUB8sPpg15EA4Q2kreAoPp9Mze7z4/wKRJBf0qQnD6irtD9XBdpc/l/WcdrR5suY7KnbI0sGVNpCtnZBhkpy0IPyWtx88gqpNlkaLwNTsk+9X49UjUn/S0e1o2U7A7LJAaUYSk2HjtmGkyWG8vzpPvL+9mOlpUci2bU8arPLI2yyc/8TjZChxdsCZ6WZtR05k11efs4iM170xeYSzJEL0ruBR3p3lU0gZqM5831zVfziXtjxz6CmtOyzvpdZHMaJtNJ30MmznXi/fL5n748FbVrvvTMUbNbSC/Zl9YWs6noOH6eiwnBPXy4Fiacrrrkcuh66X4DN8AJBYcGO5pqmJcoVcO1GA84w4eriCv7eBGGCjYsNydURMPl9hqewRN5nK6jZy+j9ImpQ4KqOqA48rg5l4MwVCeNPyVRSYPA5TKYLz8LPkh2RCc2UxUVxHe14VFVpdPPoYDpsBxwwHSzpygl+fOxOsxKFgikHraVgA5OK0MJ7Ns46GzwEfceHZJ7zxoCOtwXn5i9sL6UO5ZwW0j/VDt20RkYrDUU/PFyeFEWj6JJy8yiAfYkARfsOGuz9wjwHyWGXWt0cKAWzUKnQtzVJADWJb9TLYmrOZmtMp31HsBt5cy0n6SzZ/Acne3d607eqXI3N6dU8E3zXHvckYZSaOFtqj1//ZVm0mSBdIzMXat0AzMOMrZV3abMROtE96Th+nvUOCw4Tl26VO4Y64sNbLNOfQ/llp2Jc5oIPHewTsdL8y5sANupBuZ39ax1KwXLzIp8HisctpZKygaNvaVDnbIq2OOWsZ+AH3wm4xLiNBSHZGWxbHJKH6y3bOWVcbeaZji9aGNtMZ5gVjrZDUrrTvJ6QA7OmEN6Toc0Dil57nQ2t/hX5GUKiLAL3DAIVStmvVLtXIwXWu/LIg0ul3uUElYbb7wpWtigmmIXB2s768TYo/M0fTD0e+g/C1MyTNIxvmBc1q2HhSBjEaVhxrQNRySbl0RvM9tEWnK66pSYbiRGLRO/x+7obgzyK5fueBq6MbPF6Poky3S9r9XgCse3d7KvNgmOWsWemFIn0chZSoffjTxi2GHpXWhxHfOz81bHUMnGCO5ZNy63lSlu8MPRnXtHvy69DJE9cIGmCcTWjIwYU13v47y3nn+EAeM1mMNdslgbZece8BnUECVLxSs17lJuSopRgmPPWHPEe0VBEN7Zk3OdivpF5/ta+/mbB0hph9u+G5+ixFAwCaUiQnYyi+FJkV0ZAZiLmwHpYkdPq5OKG7MzUEsg8FyPWP6nScGFxi08Watu9M78s6VmyMjuf//QTUrFqQLvNB6pDqY75LlIUaKkExpTBoKALNnQibrsQt+r52PhXMdS6izXUiEYjNZhsGkAxVlcv+/v9PPw9eT2fHZQvFw1vItfOgUxujW3lExQrwtemwFSlOSA8ePant/UdSY70Cn9uTiKZCSiRMEDpTNOqQduC6ZoA2AtSL9fubWzUblGLnVCmBeuwwCxtbKIjMiAi5YSXUF9YwaS9RKc+uP0UesijTv4kHwWjfZ0qcZGoWHD+5ahhzPQdM0Dh6RTTrOi01EoNe3iTUYix/GxNlfUN1z3HKRSHa1lUJzxG/psiLngS+IjwCQ/5uFspJOZAJl1KYksnocu0XV4xLLPnqd8FtRLckjyREVd97lwwzim96bPudaX7oGDojiKmDPMTVxKPh/7QWqdpWY/aU2tNatJwRlckjJ/OnaTXgVHO1yljJYRBPCOdf68v0AxQ+hQGyMQ4c6eS6XgeLe2+a2nf+5HOXktX8xKmad6/wT88IedwUvdwzhgMw7wYCDYne5P3e6OLzJEOap7zAv3n3VEds7f4a2ZYWlfhnKcopMvnPdUVRsYJHuBKi0VwTcNkJq+hlYWmR32/p7rkSwpDt7qFAJtQIBm7MKuSLApZ7bdMmEN4aiFuO25xV2N4wxUIG0MTA3qZshXqDSaqDcc+9yPqFaES0YOGBzN2F6MVgH49Qq28o9Vm7ALKwTkpkJJ8Qt3ohBlFRTdUe9cr/AfndHK2eTophOb8Wwe13QbSqSFak9FNnhckbW5bSycGdoh5Waao0Bzg+7JzJL9corGQacfVp4ZHO5l6FvZFBH6bzHV+AFGhcR1iztONO5iATAd0J3QjFuVaS3zVFrNzkmnOu4/GVqVjE2jMzb2d532kqzW80zk4OR/S5XTxQXm16lZ4O6sgpVHXISnmuqhc2JJIuF7ovM2xaYrMTb8VB3Erm5kqrEsoqTx97x/3ouqjWVpz9dbMI6bU9Q1+UyBRETWttKKtaIZ5iRGl/IiyPWPWENZn+9bH7FAhbGvgC/bMZINU3wCV6kacebYGSWGv1bzN7O+MtOJtZhEIPSzcGqDg+Ye9owxvgdR0OTnQ04nc2Ro3H0RzEWWZ71beCHD3nbWQcshyC+uE4c7ShvWjeIU9EAMboAT2P/B7jf37JsHSFxxCIxv5vKkkxzNpNpIvKQpZZQmp/PupDGidKTgdwkDuOxupzEX3vSFYAIB+7WoDKxrkU+zTg4FP5f34kO1wsjS1tccFHcmWbDh52mjWUMb/mC84oS18Tw2l2UB9FKHGc9YiWXGCtxI+0cqW/QsjTQc8pyRm2XD9rEJnN53U9t/XwoVlcNfhsJo3ORJORwMKdQVgqUy9+Whk7F5CFu1QYNGk+KaFGzLGGo2D/dGPotW78TgNfBIDhRlOx5lmol+GlVhSlS8NTPalIcymXYuUwvwWvh5u7tqCOyKI0t2lZEJ/FlB3qTpDKtSlmpXGr2Gh4qJY8qUvV1RQ7gu/AyZgfCwuUB+HtH6wzNU+WbDCB1w465G2w6LeJOSJZKB24RZ3XfPNpGLNx16N0943/r3tbL6SPfE93RlEkIzrAmps8ySYONKqvta6zBlZ8yioxjT+wTHJ9syNkiFoSaVokyrwNCMrW+cujUzHEhlAy9InfTQhN8xSE3yz9emUpN1hy5dTt6GagjgMt64eqSuYS/2r5gp1xqypkPPwgnJtq8WFkABy5z6TTKkQ98HUZqrUQYF8pnvqhI6vCtcWvzbS7kD8fM6mMfqpIN331/u9T0ourS3p137vPvcXo4vbX2ztuuhskcFyL1hu5g9f+sA2WkIZvWTGveTzkqHDDDvelkvgojsWUQqA+12Hdwpp0jXJmdSmiVdfDhuOhcmw9L1PRt7qt4hc8et438W/2+7W5krHUlh8CGNW12Li5hFKooHXXTew3EUCK/FyuwvdxJZbHJtjkrCnL0Exu3MkuA23evRtJHukB6bKXeEE0DUdfT7itGGCLA0hVi4l2PPHrdGqMkoYpZLGdOxuOjC/T25b8nqt91FldHo7DnJPQSrcz2d4YXkq4PM81lE8F9eavQqoydCuPb9TXNNkjtbbqXxJUzSKorMW0m2qTEFOHEjWbTp7y8bWPlz8Mtkk/EjjGpJWJ7x6jiTx+My17Pr+vPc7nQTqEV9yXxp2+ipw+9urtgTFi90v1LbzGncMaXmxhxCXW4aea46kpUHf02GG/NXCNFqyB0qOGntxqKMfMQNKA0ns7JJaxbcOxMIjV8KwsAZx7BRMz+4x4EMSZtue1yB7qWeQ9vxZRV0oCmazuC6kmfTfIxjk2Y7jba6i2LL6zPk8uzxqLw6Pc34qfoDG/VNutdKAnCAt/9rFHffPEBmZkkffmVbdC54PPxqMkg5dHRglkQFAvj1xh0LHaCPumT0ghsREfrHsVpl6F2l/5qzwsaxjZQoCs5IdGou3ryR14EbXirQ0RFTYGQjLledlKIU4ZpNRgLussH4NNuCUQJ0qKe98ChSfxyHNMfmXJmiDGQdbMPu76C8eZUE2S7iZ9E5c9PGd+mTCX4xkwhHMXPBdbCQ4V6Pem/RWLO4+KxybnFjq+tnPeUuARLeIZtRr+POdTJtNZ3crAhVC+yKB0qUbu7qzDZZu+6XoY50nTW5zw4yZISwExQk13O9Hm43LgGF1aGcmZ4rOJqTSIYg6AJyfw4/l2iaDLm8dt/MODwlgCbDTTALBq2xCF7LaSgqINj6Day2z7ZZWuF6zoA044YhbFulzLAWbkapa1KyAiSfaa5MsxPG91WiqmNLGcv9ZAwHjQYoM+OoCoxfwuiMC2pPuDTMIZvRCTF8Hh/KeT9uWKyRjNcVlLCc9Xrgb6o4zmWwIi/V3aU8IMlm4QV7XAnDxcaMZGX9bRpu6carTCcDvlhCyZTLc+GqdJiFpTpARlIcupbMhGECQPdc77Smv1++LxWazSfgBsfBKZaJEUHk/imcOnOVsMPijoxq4X4IIkJ5RbWQ2PWtA6QuIItzV0+ubMKWTxnCJV87ezkK61t9Qi+FWwpT8KQ5LVToKHSgeE72qP350uVWJ4r7squSSiVRjULrJ6EoDic3glK2UOJbShicBuJq90Z0l7m7TCfb27guJ7Ppw7+QGprHSGmihQNA7RObBXh3vivppE+ocK+ElyCdur5RubD/UnNuVDo9F5Dch2g5aGnzWu/Ma1Jaa5rkWlCDxoFOVwXXlC7huamMcdmsBeRALRD9cBtxK5swmj3p2mcuTk5x3Q5/bV1xPPg+7APJIp39ir7hQBRSs0w87H4uYrCzJgIZtAy+/3X/WiUth20buumGNq+5fzJcaNVw0YA3k34Fq4Sf6e6o4orNCropsJZZUbvSkEhWpg1mEQENJAVUZqVDvVkK44Ion8Ov280Nt/cVJkM/GO02rrI5nVfTmmhG8XrQVzg4gm/KyOVQpgrReHemhu8X11H3D9f06UYjkyQW7JvDm/vI/vB9U9Y9nMsEGas4Mzi0P+LAT5PLg/DC45zISune24gm8IMaq0tTs5Y9z0GoA+xS5bkOIcG45q2Oty56GipxpOd9qul0qnHDly/VROyNWhox60HS11RXuWfdMtD6bBlrk+Qcax0J2+Xz763jPl4qMH/rABndMZtSAchuNxk01bmL0aCyEWw4IUqHM7NgiOlE83wv+5cqQUyG7TZMBvjVrTaVRa+/W4UNoTzRpoZWYI++jLGES6iJic0ZJA5Ans+rAHndBDErbLL4tdlMRxLYP3vEaYZzpZwmU+XwBo+dB2XIkgXOJs16cRMgCWrikJ7G1j7X6FQW8nya2+V0M9LNwSIjYjcuuN4ESM3KGR+0OWQizIjVvSVUbhClQxiTYAUDzw7Wot7fTuxQSjQmFezUTbIMU4opQvdTNCNBShZ3QfX5cCByAy1kbm3Ua+no+SWmwHgsOGGoRU3ghO3AZnjePdfBan4q/DXuHdMyczCLP9iebs00MEqCscvAroU2wVodV0jbxsszHyZsiGQz6lovdvkxr5HrItNn1i1uUOu9FBxZI2l2haOaAKnM2gTrGGdE953Ovj7XUFMeUV9xfRSsGC7FgXBsajKECdGzTjJQZ7Iqg/e7m8EHXzAXOMzPFkEYcuomD4gmZo9PdmYcHJ3DtzuXg/XCmhinHgjF/Z2X9nKp6aCaVmkrMg5BeK4q4wlSruz6yOaYoXBAR0YYwntzt3ud2pvTG33W58/P+lx8vzwLpsLef7/8vld5ZIasCT47TA/2EPtOAXLeaV9FbKJq5lDwmvwgr79CgOwA/aUMWeM/mIWmctg8KTaWDDLt5iKVhJUW3AA2ucq8w06B68vdl86GD++s03nIUuwGI9LprnhtwS0z7Sx8K5mfQncwvqLRq7yNq8sd032Uhbksyk34yiWHWLJUqU3gk+kCC5XywVPYkNzxWd7s36gMxwiWnxdxFarQ+lKDv5aHMku9PpRsDiyITJegy8K7GIPd8ErDOe1ZDU0qvjxuluyTa8Jzp+mi4O0MH1hDDSICl7voaWh11Q9l/3Sj6EQjryFRS3EUe2caGzSIxRv1TsrfWEqxWL+sZU+W+yCyOTQiTxjs5TIZNJvWdCMFq6hGqDCE4BRxORhd/P60MYeCGUQSZ+Ebj0yGy/VUEKGBuBY+GzZD5IaaswLWerUCyNl0sOTgcTIYHh8UtLsSZT9KBojrkErV+VK//D6l/kDckCbNWAElYxzy+nS7g8/G25OGiCb5ZQwIcAvX63rtgVub/8QM3TLxVf1G4yVd8EwJtBIorv1cN7JzlfL+0n3c1/cTdLmX98f74hQzMMuiBgIvTREemWFPoAQ+UUyArM3oDXfIs3a6HPYXM4fCC+agYG/FNu/19bVGw/KehknXHQvEt9PbnnlmtDACAlUpNG2vNc1AScW+hBrQ/mRbOF7U4NN8pOnXKLFtkUQEjpdbAHcW8PlwvmmZL1bJ0Amzc7HSeAdIOT+Ph7oAe+N6kJIJghzIdjbu/EUP+1G6jN8gs15cykSO2Nv51xtRWmk37j4eHC65GQ0Hk0zTgMg86XD69Do4a7M55uJdYQAbDzxRfSZnHNPQfrf/ncoyZuuw+T9cPpSueP2o983N5XrwPMKmmLLHCUvZ7lP2K/sxOyTlwEl5qhKVjHw49DnLIeWLIuEGlT6HDRXUlXejKJzEPuwebNRGD2leCB+iZB6mTrmJHyFlTpoZ2RBdarqrriELlNELIj6HkO8NJTd3O8jE6CTQTDcruLm4VSVA8GBGeivddzBaaeSHV20WzTdnHdjqLpSOZHtytLbbO69L1hpKkQ7LEK49TjeYaioLymDWLIPqgvslw0lQZiyq3J486oINrNKaQ9UmHqmeajvV+sxBkaAc8ngmKXYSPVM9r8Uhjj8mWKI2/9aP01rqDMtKgMwYVpnPDsU17dceqIFsDaXKsahsBMj9rlQrCpAnf86Xug/xTwCnhntIMqDhdlByfB0DgXSYZ2towVheRgUb7pEpDIwFpOPnmgOus24sNgSlPNMLCG6vh2o0prTmtePyk2shhdBciQV7gQOB9Q6U86sEyOBt2RQBdPtw9uttGJJwuGhDYee7C5VB95EkQoxW5nOxUgVS6dbMMtPN3MnqXDzgjUyb2zg0pywM9tF1oVAf3K3Njc1Y0HC9OgZor0aCH5gTY1U7fQOQd56rHJlLdsjn+Nvxbwuf2hDQuXHBrKAh8Nk/D58ry/MkOwVrSip3LwVi21i1Z30YfE6rrhWbqM+Xvt7uAxtW/C/klyZ5x0BD1vfgPpRK3EfKMBY6lJwok8LBozMZnNkzV2JDJ1wq42Ex4zWW2/l2xqnYJGluxGBVkw+nSymc4EG6O6mCwRQcMhOuBZuBDaOqhAaex1UQ1LpDkTNgPgNleojv3S3HUVkll0ntOqCan3eqIMP7DM7Fo8/atvIrh5SwwemiBl+36bts5q+EtmIjlTSGtprxmKhoTAgVHn4MczVt4p8YYYGy/2Lb38ZCuGQWNkrzx7Q4ZbwYRMNBdjKgai4zY6AgtZIVapiZDaNFoubAPBbeeTqeijfImN7D1O6+u5ON2vRoFgHJytPQ3p3f6f2REHSu8Ty2L5cvyobjDwvjKnBHdOfggJHsisazFJ4OfKF1m1nyl4olIbQzKjcGLbkXyVYh+VOxca/J2iUN9peoP1RD604BVpXEeerWht80QAov4FRwp1aZ3kZoriFJzmYScPJ9wRSz6ATEMpWMBWk3YC1+gqzlcVns2kQmo3ZwlQYuccVWUZHDpYTeDqDqZeVs5QNd6XHf7sf7rygTGllr2oeyhnYnpj4BMtIwNmNUJzzH28tbXfQfdj+oDNg2qvjS6QWetjyoFMR7MqRyrX8rOoLJRfqmoGRJlygK+1vHn+67sj5figzxEq60GR2gzBOM0oPThFlu5jPz/gJ0d7K7HdtDLg8NQ11uz7RR1QCdyBSiPuwpWQOu87PLLEZYeH1kJkqcdqKOCklYfojO5GVfFTUKLu40AeBQ2m4sX1pD1osL8Kcpwz01dsfPJqNJNhLeoDasFV2xeetzlN0BT7YTKEeqjxhAmGKylXHmsFaTzLSfjsvuzLeEqmmMTvfRlVmI1Wl6RYOfRkpvuHmta6VZOy7BQiR7/j2HiSCEDTtjO+tGM9QPS+Fzu4sOUfjOsEYObw/teH9s7btKUsbnWitvfyoHHhoq3d9xnpUEhAmxtSrkdVj7gsXMe+4wCUF7LTy1W+qZUpjAy/OIeeIxxGHRiEEy1xyewBRdoeQKV9fO1DJeS9fwepOJftMAOb7z4O+XoSRX58L9CHKcKIzx1EWfvKjxrENG5+HrW+/CSNFEEQjXzZ1jdSCZhmrL+O5C7tJH0isWPNeOLpat8MVJtDZXgXk0TuJpdzGHzfQzdTYzgzi4U5QpjEbFKNdYB4E7KpaUMSr7rtV9JPApMJ6rAQQ9gZsTDIyAyvNyirFo1VGn6QAs8YsFHEPfbJpuOAGujpnA9FpZD5/BZsBbV54YrhIs9P73cw0tGl8Ej2gujKGMKE2kUwU7o+m0ccdJyR/zjSy6DJl/GsusQhv1umETeDCTOqwOLrz3yO6i1lBgN48zxrNb5+1UHJRPT9enPlgsAS+NMK0Z+hVw98jcoKQNpWLh/cjQmJ9LdXKt9ScrvliMQf9g7Cn4G6W0M+I4ZMv8AlNml40v55v9ncpbj/jIRs/B0LmvJmLLxNYsDJWIHm2bCkilsBVbYihMdTiqkTLfdRaIMim7rwciicSWKkGZ9OstYMc/MmYy69FaeTBVKEgEZfjKh6KbYQpxeDiIcK39+7dN5r7s8+Pzsb3/6b2w+e9ev5MA4Xftd5KT/mH3B61v8NmMk1XVwD1BpDBc28PlQWtd2PxaGTTXQcorNyi5lnKVH+vAjT+r+NQ0Ka2Zj+JMvzyLSPfn7kXNGw5Q7iHJjNgkjBuGGvetA6ScQMx75CEHErrCdK3QQl+rtEupIQzQXzxCrI00LYz/rlLwqRNWfW5qlyQlQLoz2A1H9eQegLSZfduJzqZI/NKINqd+HIb7aIcNwTei9y2hWj+n+OLRDrMzJsMPWogxmnUJG/qQmiu40Qz7LgNLVqBSDWfqX3C0usmBs+qYgGxNBHozJhQWS6sk9ndZI4NaNxFyOuc5UqLpudxx7Ca/bSMNNWwBnkPZpMCTQW0EH2g0DujxQwx+iSIkmX3m0XRGA9fHGX5NMCh8Mr8015sJeJZF9kOwfW0LxoYRTcWqoBioaqSqhQBdVODg3K3AHPjFo9sVDUuVjZuTWX8ZHiYH68w/4rpYT5z7xWEaaaneZgyGUd/4gP+l3DY4oaYbgnN7OmLUOeosQx3y/QkpXZlWBmoBQTm7jd2YbiEZF+YwWcPkM17LqgCtFJJBDGuDbHw/9vnX49vi85IocY3vvtzJfedv2t+IwaKSebzXwU9J/HR4Kh38eK7OsQOX9oUdlnLIJyEIPttHnDioU0KnX5AeQkjgadZ2iWis70hAdmeteT6bgiKc7WsdxN88QD7tnuqCEyjtckLEZuSnRqCSytrRWBd8V+UrwSLeh2HnK7ilKeHFxAXhYnbxO9nji00fMPGwQW4n/3rspD4BB8+5TFO1YMdZ4HGMIpQFeOyrNMoEUAiz4DM0X1h0ZMV2rMlYCYWT9VLAdru7NYRMVcCyirKb37cNiXTO89ofWzVrUn4rAHvomN4XpTAyzEtJIxWsUkK/loFu9x3M0C4aBcYuFUjmsk7T9QMLJpOHStNeBWJ/XD5WtjfZsgzSc6bWQeeBE2q2gUxGbB0XHl+gAQ3YGp/UKGPcaIJQDiRmm5N9YHkPnhWbr/lT3c/YrGkDEhh3t6lzW4ybgC6sdKpMRIcIVJzzrlcLuoYb1+1kE2Ba4pB6Bo8yN2Sl19cqA+ev3Xu6hyRZ+m5px7vjzSOR9XKtcbpbL0rJGq011uFM8LSTfdZCb7oxARITZQLbS32vqg0CrZQUNVirq02SEdJ5v5Qhseb/wLfFTcqZUzC62K4Fz+zNJne0cyhFUpv7KIeseY8btsjlMbPlYHh5fWnrwyojCOSxuze7Nr6M7fp6bdcP1zb+XPS1jLOQkcTuXl1vDJH/svyl/bT+VEbT19f2Zf7SD11l9ktp4SXn3R27404OL65psH6687r/GIggnby7iUloeMKF1nWjurRhsQIkwflctKPdy06BWvPZDRl90wAZ3CxuHjK0ZJF5HEEoDOk+Z7i5onoCos1EEzA75mILrjji6F3l9DPeExpPhPC9G2Z8LRzI4Hg5GeNBp85VLM5iChpaj5US6qBJrFpBrtuKZWSnQed8lswPDn6U7CEDvYK5Kmtzx78P8nKG2qktdK4h2NqKKxK+7QCskLcrQnrhxyHbJsKRgkW2J23TaoWT5wFFjx71RM+6g+e60dRHabq1HBWCFt7gyZT+HL1DCeTJLPT7oQ1vnEFxifEx5OOePSfd71WLPpK24M0hpjsbyNrQu0MPbe7eV5ZZVk5kXeTe9UZLYAtjdtuJhX1ypWEbdaDd0Y/5ct5feLU9+zUl63YVb+YM+V1rHFd87g1TPx2EeoOLz0ClYkJ1pvz1TN9Kp/gDJGPO5+0TFe3IE6VQMOQEyQRHrWkcs0K9ubo5SYaNa/9uVWAZ4Sd6QuBwrD0/PxZ3tzeQfG8oe+n0vx3f6vqS9Sk7DDxhqzxJPu2juu01SBpoYUlwdbEmVpt0uxGrQ+xopyr2Euvlehu9EgGD7oShM6455bqaP27ifvMAefd0d9M2kvYf7G0HETYzpXdTu9/fF35xPJRD+LUIvhrNAH+MsoFAxoU72fI/RF8PY1IWZFpOcDVdUJfV+ndu4v4iTEcdWm/27i5kLbP+jT16X8GXU0QJ2lOZeNI9FW1hLZK3sDjgAbrEBqDJHmIQEDK3cE83KLKJw7dLsP3SqimjIViclNNRGxlMTaf+a+myKbWhibxeXvW6GZDElwbX2wyDayBCuw1dVWIHb2bDTINoGirFjRcGj6Vk2yoKRMm41OaAT8e9yuaT4Sq/cw18GEQvrTKXZsW0FGZEb8ibR69/2Iu2NX83t+v316o4Dq3tftpxQdru512bXib9EiULGy8O2IvHdJwKFwxskq6yjIq92TT0a3htr7tXfR4dkGkiWvKprjXmsyH+OxD2UbjBuox5ZhSFSO12p1LFYuGBNjeZ4FojQURWJgOkO+0MWrfBhqw5eBJ4Dq9mTXhUMmuIEjAKIfCyaIxF/4IbS/a6ccNhvUthEvpOJKV2GtIsILuO6z0FQ/Ys+VCtNDv8WrCA+Kob93SyfK755z99VkPw9btXZbDLj2VAAg7JIK9PD59kFPLp8EnBXoocDvOXShBiUKwDIKR1Ps+8tqf5qe4VTl9wkY+lwErTimyWz/LD9ENR+varDCg+3n/UwTu9m7qJh67PS7EKuF/R+Z9OTnQuVWafz+caQR2v1m8dIClFU7rl5Nt2yhTh2SwHf+C7Jh00myidQTaDMD/wS+gsVh0kK/xqJGyGs29mF4d93zdEsoutmazHIuT/093OzwgHoUHxWs2hWHuJJ+evZJmhCUXy1csn0zHy+nFJD4G8dxvdiWUzp9QUhgdwTAloyECYCfxIk9sT5CXodzbcjSSMPwaiqA9d2V0f22rMSf9kA5A+RiDZhJtTCaA9m8mIXn/2bYBUxsg98wgAnfr8+VAKHYIhf17v17Z+t7blh6U8FQ+WJbK42WTPU9t92GmjBQ9O5kApmkwpFUqI5F1Z5Jkxfa5KsLfct/hx/uIRe7dgYTEy7pI0OwixqaS+iVu4D5qeXVtpFJOEzhrYONgEF+vd6YgfOITcUOnuTRknaw5sn1HjUbnJZHOPUiV8NWQrGKR5qqG65TW3jbysYT1P3qMTnziln15Puk/Mu+EQUglONYa4YDdK/cbkwi9jiTwky1z3ou6oYx0zk7wvG3XEWUvqHrjPac6mqozvJBxena51n8KEiCQ5jcLME/9Kq20ur37O7vmpyHpV8a0D5N9c/0Zv6su+OrYh/Krkptw+LOrKPt0/FWbxsGsP5wcNQqcDKW6cFQ4h17KZI9tK4JAH3qf6sOBv3WiTYLwfa5gREJFlTRqVebLLDWx8MD6I6zDqbR6ai6yN/qY2j0wqzoOwEal7oCn40d19TPBNeZWArYDq50tHUXgm9J9h377ffV9lLJ04Ghrwthh6fiivQE4+Zd0n62exJ4Nycl07JhqtLhI8MlA65lFMZJHzO4tIndrxpQLcVHCHdOHhb9KsYeGzcNiYLHLzCWX/ZZOIXq5Glx0IgODHLThW4BK/0wuRDP783bnN7+Z2/ttzWx6Xdvn+0ta/WVv7uyZ8iaYH+BUyy/1f9jL1vf9/3rf9n/ft8KdDG1+rSuDQQPmgkQoHj3W4POleYh8my/+56D6dPE3z4lIWa92Hc/b9d1e6+1t6yFcCBeoY2Wi54UJmw88yDEuNNJPgAydpgy2lw44/KtcENQn3S/jgS2VJIvIbFtK8d89f0qHHgRiPTzB7Slmw5utOnwXLOrI2qaa4+FSfcGGPr2US4YAd2EIk++nrJmjH2XxobA9INS0QSLgE1iHO11B7Rd//sUx8j//p2PYf91pf0n6Dia57ZZC8PnueQIzCjq70u+VdD9r8DMFUBPXxKHYH+47rG/tB0cw4rHdlVyajZGO6Egmw3p9N+RldVWBXN9sYA+jiYo4y9DQnRsQD3gf0Oz4r5htwtlHjUC1+8wDZS0wPyYo6RhfUCg7pI5mFAgZ1uI0x0AYMPmgqTzLBUGaSLYhofv3aNj/YpbLVbYaYE9TlUmY+17qwJVpOXmdcKd/F+/LYWZWTxglv+d+mU7zhZG7depLp5CFFAK7rBDdbY6nDzDRDn3p6hN+ZKYOmrSjw2tVH+mYbaPBIZp0/B9MMjtO77s6+w+8TnGAzW2W8dsTppWWGtftzhKbjk6I+r4d/yTnGeFOyLnk9HmfRQcYfRmWO89/Mrf2uteH3VTFI1RNPUGgkj7t2+C8HlZ33P9/3yXSaSzI+aqMQKEP4lR75ehvjsP0SIyKBcTMcKsyErs8OPujrH6w8He+e4Tj4dKqTToZbRdGxtM26yNrMmAqtkwyScjkXr8est+DykV+qATWXp2eoa8Fde5feh1jw047bxnTYGWMy//4IgT4/6zWSg6JneH6/MZ1oVKnPxeGkySEl2bUcfrL25KpPIsLMas8zinGJXJU2xjB6beOrXQBitgoBLv2DrNcYUOQwjNw42WLv1MfZx7FJ8cB9DVUkrNldzY2Kac43D5DqupHW2jBUvDe6jHSe+WBI3Q6rsEcwKX4HexJmdymrM05VykjZbs2zvk+Cebzp0OVeCvfjVNCFwhWYz39fWREnqsDb06GCs/lsGo40vFFnVqfOehU3S159SIvAOlzey3iVzOp4s3+P3pVHOJna2HbA6Z53NomNrphTqVuHQXOYSkL5/VQZJDeShfOhfZAtVmY+Bx9MwNNnGg9dlZQMQB1lAG4yHCg6aHA977f7TG5KPF1LNNqrGxnzIuyFxhMuzGkIcZ/Ex9taeXkIVsotldOoeNws4TXyeR/3j6UOoVHzeG3rD2vb/cOu7f6vu3b9x2u7/J8vXb0jueZwX1I7Rvx+uFMG+fbPb4XJ/u7T72o051zuQujaZf/2ZlfjC4BCrlN7fakOdOg0IQ2r5PKmFkQBtpagRLDKRDtKNFN0EqDolOuawS7wRqxzwWXt6MOBJjv/xEgFZG3rq9aw5pkDfeA94DJQVcoGJtI9g6GxbKS406hur1x9GMdBkKRisiGF1mPGRVA90MmP3t62fz1BMCE+qiIFTFPoRAyH+jXu+7hZ3j+BSyoWq2uofPTcsE7mGrl7famk5vqxsMXz23PxJVmfp53iARkcWB/SwE+XT5UcsIZt66ZAeC6DZXmvXkoYsvU65XM8zzXSmDig50Dxg2UZeuvx2j4sH7SehTPudqpKuf+ypvP0TJXUJ5t4E/g5uBnTcDcpNmk0hnX1Kd2/aYDsWk93GRVctl/u9CbbqxlJN35XT+9dYmTMQJ6rd6lzYhpvDICsbIj4YOv3nPZbU1qdDILIpiLXukTsvD576uk9bX5Og33IYmLK6gy1l0TBMZ0VJCMNtSSDnKIeiFIj3Mwuu9sMxkpwzHUMjBAMkI3O90ohgHlrxh5s1B3Z6FtJWx9IRRnHoRMjBw4A7glySAjXLklkEBzbfWdOfaA9h8pmuLzwQ37dFaiuBfg4td37XRu+Hypj/GFo69sbVhr3mj758XisMvL+0Pb3+3Z/d9/uT/dFEbnu2+Pw2HEiTZsc7nQtRShmQ6WCcdamhoVlkcnsk+kHRw0s0Sc/OuMO51QTMLlf5hwG78496t6eMfzgZ8HPHAw79cqjL6Klj0Iph2HH6jePfn03I4K7msd4Y+wE1f01JSvfH3xcX5u9qSAEvuu1sa2kFAjHYmlIWDBX9tnnRdsIu9lQBZRqeSKNryqC5ipBETiMRg3wGb8nc+W1dYA5a9R7t21gnb8e8evxxDEG7p4AhgtUkXIwMBs7A/3wdOAQ4RCwr2i3TcsIY8cZqXaQ8sKsgBZo74Jwfr9pgITPpAljYw0tjxdgAHIZVBxM9dkN0nimfBDxdVdO06Tu4GOhi2QxZBxopFIqwR/qdcSVO09t92WnUwL3bBGup3otPjwnMacDA41YRLwv3rM6lgZ2uUBh72vgUcZqTiVFyg3QkrZNVVymKcmTqfCcPBeieWEnfNHVXGssgojiHlLGFzxJZXS2ZQtHLhtOz0k3FOJvnEpeypSXTmLmsmjhKwp74NLmc1FCqGzb1zV8vXtVNqlrEAUNGxcPToPb4WtKV095mOmT+7mIxAeX8acq6QluBMfh70oZAtdx+mFqd//TXRv+h6G1/6U0x3Fp571iEQZmqWFLYEHrXRlO3O/UjXz34zuZfPzN+W/a3etde3t628f4ct2oOj5ePwqDRbGEEUZvDFGhHGtkhQZ4xf3btJheYjvQKNuLaxLDoMan4l5CJHfgzfsWLodTuKEb2ZNNx66CighCZHJYL+YQBvvqgc4lZubsqNnnElrzwj2iNbStXt6bJQDcIEkuGdTLBl5y4ycE/nB4FdANAWRCJNddzSds7Vhb5ghSVdyd7nRg6d+8fiNqaMAznymDmjr3GltwV5Xb089P7fJ8aZ+fP2t9MTqXjFqkckNVHMzC+g175CCm0pL13X2ZvmgPcpgybK3t2tvD21KC3dlt3tQ7fRdQBLxgKj+y4uPalreF5aby1H6aLvoexjhQiQ5vKzH4ePrY3ee/aYDUKcsJDIbnRRaenrCcTXOjq1oAYc1p6pgNWKtn/sbtOhZQKedke7/RbsdoV5neRsKl92F6SX8+Q4Ii1lpqKGyKZg+cqmHfsYgMGeqdxA2GofduK/+4KGcBZwBV5veGa0mnL/b24lRCLs5gqWh4N5l3N9zYkLC3iz1d28g1t5lTtOhprARrC2Wqjyzl2lg1o80f+lOoNDEU9et2rNNu2x1vHdyNBpp4Y8HAYxPWiAytfV/Bass9jQdi/ixC8W4qjPrN0IbHQc284/nY3u7eyon8/fq+oIXLXI4986s2ZyhTPw0/fdWVDd4a/Xoy1x5wnJ3nuqWSyOGSikD2W1YhpcubkSAxSQhHVxtvi61xmHoofXD5PE+amd2daWv7Zd/R7XpIhidKF8nGpupIlqTqx4bBqRq21UXHTTN6xKYhXSMNl9CvpSSFLBs9d7N/qq32Rj4To2fJ+r5Y7kpTEejmVAqZcFK33fg8d4QWUe/EEZ0GF7+AGVKlCGayqw8NOnnFHjw7KewEswxy7btzEWsS3v7hNmpXtmbHMuNQgIRdwfjh6+uvpKTZPxW1hi5wZvtCZsVWHQ0pDjmWAcmS6Xzpp2kInGRIAY8DSuu0QtrlIUNSajBUHY4Wsy3GqT3sHm62adxkGntgf1MFLxaD/BoJepi5MoLgUiMImN0sYBfBwjDJoDSBU2A+mVCI2FbrKKDgyYex6XoUfki2KFXA8CqBvPSjZJW7UjQIlL7W0HquCTdUQ9aJJfAjGb85HDv4H9J29MQBpMO7I/sThxSdtAdsySJqVw5AdE9Fy4jR7WXTjNqXSYU2Cuara41ZCHie7FWn9HgzaZAqgddnpjEqCx9ckcxNbydJzoa/qTJ6/bu1LX+/tPl/qWFLyczkeO2v/Dl2be1t0xpq/7q4qfcf7tu78V37xz/9oxyjf5x/LC9RqKLDtf2P4//Y/rj+URXCfx7+c/vL+Jdu2Cyepl2uybKFY9qpKaR8wTCHYhwE0om5A3phlWFjSdHeXWxMArZ+Pdf1iG8l/oRkqxjZ7gt74x6FFqPr5QZANNUqq21am2ZODIND1VLFkC+rcfrQOHsAsH568wN/xPFB9yW4pCR1aLrdnEoDShgySYyTA0FdpmP1g9gZbBonXMPggDs+w7MbeZ8Kw306Pum1Pi+fi+cM55F9NdYIVg5A3g8UIDBHuL105dnrYNEyjt4/ClLRIcl+9Zztx/lRQfLHux91r9hzupbzTvdXGCZqtksdWFIuwZh5tLkJ1ncE7fnant4/afTr6f1J14E1IJ4zlZSpb980QKp84RB051cpLDeDEyAn1n5VF1tSteB2uIvvawKcWvOLGzpQFMQ8qRKcR5xlYh7KhYhJRDhmWwZ+5wIaL+rYgnFALVBnFF17TFmyyS7yPnWxnZVuO6U6mZcNH82yLW0y29B3izMkbDa8YGNp6lw+X7iYMUZAX+xSvHPRUh5ZniZXcStEuns5G2wz91untx1rVFZdPaFwqoOKDCA+e/lMyeh7ZmUohEc2WLBjwSOYqFJuP0yafyJiOKXW+6ZAqWl0gpnrZ7ZftXRu8rZkf/u3e2WGd+/u2v3rfbt/vFfjYP+0F5xCVSUC/+wxE8uxDkHPBNcnsW+lzH3t2hIct/tLUqEwUygd4VBkDKNouXiNyK/SPxuyfbDzBDVhneYoZv3m0bmPG6ZDz+wzKC0ep+FudrGL11E6zjb27c5C4Vp66FuqrVC3+ut7felA2H+tSOu65Xz2ENPj4L+hs6lh1Gx+4SZm16Dbf1OqICoGbA/Hu+5cL4MXz2KKSYyuX1goHrsQXD/mNKH0BRLp2K4xYSUJTmT6VFAHWO12DhswRrBQnPWZOryfKmFI4xNe5PxrBMg0SE41mIjh3uLcTS5r961d31zb9V0N5um+b6gI3hza/m7fJ5EJ+MV95aXeNPpdBRJ38GSdhoLlUliWsA2XDCo4PfYhC04OOQz2sXEBX5mSl5a/WPbYdNmpOlABAT2dZXUV6dQyHAw3n9V+lowCuFQWIo7lXJxE4U6UbZRcOIhcXspOiRMOCzWwONuOwQe8u6+GA6U3wZTTVZgZwXvYTC20qw8biGvDZ2GWBq8DhheDCfEAoUeAa9kVG3xXPpCv+8oQrhf9olQN77HTljzvJ2C6/ASXmr+ta4E34/7Q7t/eK9tb/mapcZpvrm19v7b1H9c2f19myakMsIgDb0xJrc/bylGF+xI/zrf/8La9+f2b9uMffmw/7H9oP3z+oT08Fi4MtaT9uZy1wchii0UGSrDkXsGlC2VEawesdF/3NVLPsAvIuJTZXe36hPOOS2sdOozMBZe2f6c4uca9sjkz5EwHzvWqIE65uTV8EKUNQwhnkDkcAmMo87eRccZ0iFcJHj9U02RLCBeM44Nbh5hHFpChKQng87dFeB7fz73iueAfZhqogsnFDu44jg/G+y+m8mRka7q/phexXw5jDRRjHT2dn7TmhaeTue7LLg+DCjDF74fv69rvryUGYRZ3mqdTMRjkTs5+MZm/f1YoYng3gNEjCzyfat8RL1inNgAWvnmttS2V26Xs49hzYnkwz4cEDT/MuybBijDz/dAOzwdVdgwTE2zwrQNkH2o/b/Ac0yBiGqEMacs5dKAkpV/ub1MIZaHEuiKSoyVfTE0xDpJSO7idRhS4U9m7kgZ2k0Hqpm/m2WhxcZK445dNH1xNahqgAluuRdifUZ8pc+IeE2VCFAxxPskcHZ3cdJ49tKu7zVjlkhnXXS0Ejcluy1tNesr9PqjJuulkoaGFEPDicqNT36drJuHF0JXAqaDHhtyQibWpLZ9TZh+TAw4LSn/MLjwjhRJFOM9dUa7WxwLG4TxyL5OthVwffz/J6aBibLL1UEHYUO9279qbH4ueRVBcP9WmXT4v7fnpucbUnl7bX9a/tE/LJ9FetOmMo3aLOFN5BEdwv8x+UBZjpU7MjDsbg8B1dbMxOKvJ1fobB68wGzJ4jT+rdKcRaBxX1nr2WuSRRpyeK11x/33waOGWaQiFkJ/mm775hi+HCyuYYyxfgdBbchCoDDbNSHCAlU7KAtMh35iTBBYItplhdXH57h6Xw83JqFdN68ZXwTAP+03rmAFc665McOeD1pbWA9g/bkS7SVUB1UBiRbwowyzgnmtsyvUqxyhRu4BA99WH0PeaP611NRui8tgRlduz7+9rNZXWZ68tzLmvv0KAVHDjArDxGDcA/rdnxuTNvJYTvJdRdEsPV3VEL4+XNj6W7rd32F8rQ1Ap8eoRp4wdDZGcv4dYjQUk/MjMwjZZllMp0+nUEJmr05fNqE3Oqe0FAPaRLCCgbwxJu80+C9hOLyk9VPYodq46uRXUPNc4uttOzwGP2thMhXIj6RX8Na6ZF1ymI8YeLnK7rTRQXMtWnLCUw4yA4Hs/Xz6Xe/dQI3MBqBVQyXQ5eE7GVO2WrY1hs9EsbmHA13JLybS6jG/g1KVrzf2DkkMgHN4NbX23tvn3c1t+v7T5H6ppJx6aGzFkeXSuU2L3staNKLK079p37d+0f9N+GH9oP/6ffmz3/+pez3f5eBG2ev7Tuf3h0x/a06en9ofPf1Bw/K/Lf5Uje+/MYmRgqIDskvfA98VxmvfF9ea+a1Da3Epds9ShoiYYDkiDbbwc3LpIwDzUZMJseK59FFoaSTGcepMhZgtUB1k/ndYWCk5oXx4920cxeDaQMkQnHsk6VYl5AJiUJsOusz9UbeGSv5SPQAIMa1+eprYUU+DPEK0EDhKd6w1nljKo7YTRa665A+sVxZrNrbU/6dormSsFHeU065t7Q/VD8GMNUEnEGBl/BiozVW2HVf4HGroGFDcuki2KmwuLA+rQl1ftjdNTGe0qKz0Meh75Oexq0Bz8SjFF8OmEnw1tK7oNMmOQH1d+sEKIXfBq00j7pgEyWFcaGERmidQJSlbFpNSRQ4ubCGQfsSbrGQxWWADjDwWqy6V88BhU44bbE7Jz2twZl+TLw9hjzKrFvXG+Ca0irPsI/7vHZJzG06l1cIojSoJjssEsLh4h9PYBVM4Wo/8NFSecrPoQtxO8f6bgZNZap1kS7Ceu4lvnlo4PMg7Ww+OF25oULdwzOE7enx2ug9F2XXekcDEaNl90m7nzXGiTKWcU7PZrm3+clT0mq01zLh3rZJL8fydCO0sjQL5tb9vftr9tvx9+3x4Pj5Vd/LjXmln+tvDK05sC+J/3z8oieA9kKenuB9dLB7crkcCrud9DlfOUnyqbbbahpsZclBYFwEzb9IjWzsVzUyMejQk0wWuDoX1lfMB9hKJmnDMKmQxfi7lt1oJ+JA3C6LCd0W7vd7q/okf5kM99imt/IAMFVXf01cigYYofY5pJOdz9WdRgDBfY2LsaSNHkD/V8wucZYdA8TTJmKJ5TnjWDCbH2gCk9uu/gfuttRr1glnFXccMzlHQ/3LiK/h5hRTig6tzDecVMf29z3Iu5vPgY7CpAStjhakpxwpVmZgR1rPXXCJCxbVJ582WnN/V8fi5C5+GqwKlfD4W1qDHzsChgBpzlzeMIAj4AOI/7C/iGxp9ePLjeowgSxHQD7NSyJZPys3o+1DFRKXger3woF/s+smFIr5ebYkb8QW5aqBQx+kUXzQLwPG3xAxnz6gl/kr3hy4cSwFlBGhtptGQ0QabXxUD3KwMJB+k0lJIh943hDaj5x5QVKcU3g6iS4WgmC2Ra80c7nQqnbpe6akA4QMfxRuogT8yLCfEWbqArz3UH8xHYzfsG8/mHQbyySCG3/MF0cVNqa0hbu+9Y3Pv2vv3Yfmz/tv3b9q/av6oKBAjmcZEDNr6RUDNe/1/FFvj8l8/yHJWUbXmVukbuRuUY0adoxqCAUlgD2NahvV3fdg2wHNB3T8o6pOem8Y4rj6ceylIrRrw2chA26WmACk6e9NjpNDAz4nbvw0czZ7wGOlmb+4UbkUvrrOU0akIsT2DMPJvYqaUKEj1t3ddEwrUGmgl6Ags1NUr3ECzP8JcGfTFe2Fr/bgzioBvy/1c0MA5TB/qrZcBZg/2QZY+Yy8z3xxkdTwNVLowAsUOQDgqqOE8vfLh76BxmIpDsCMlUnSBwIMK3xlcykkpVpRygx6VdH65yoCIrZNyrFHpgjyjv7puqH7i7GmtB05KnwPiX7fkvl2H/dQGSkz/ypQC/Hb9CUXKtskyBhpPhWDdDJrmePxJ8MKcXG0OlBF1tA8Y8L0E4qpoMKdfpZa01i6A7UdslPN/LQwHLtCAtFgxPsW03piTO1XoocwRu6HqbggiVJzZbfF+cSdLN1kkbqZSJyH08qsd2prRMoI9aQET5jHcAm8GF3e8zDaZwGjPyVrI0CMPGk9jUmTXO++U0FumbOeBj2fNH49pJ5c4itdDmG7etY5+UcLumMku2U+GYmoweXXfv/jJH2nZrWzUVn1nzSkwM5ytZEA/u1w/tBwXJ+Crmfol07YFT0vPjAnQ/1GbAnAAsmwqK6sVd5AgLNPOE7NIYrzJCW+QFRtH7S8f+F85Pme8ew9a8p+67yHUw8VzZjYUDSACTjfbM0M2qTH7MUDaV0eEJOsMTAX0pClgCKkEvayDSx2DDWYtcjwyxUqa/lGt2b1JuyOYx3Q3cks65aHKZA868e/A8q2AkIDBL5OqGVzr8uo/rWJZ9IGCXqni05lHkxFE/3ow0KC3C0Hz4VlZxWWPSt5+rwSLttucEqew/FMFdpja4m9tohM8h4np4zeO+nQ4n0XpgVIjetL+NkA4GzSMmyd88QIIraVFZaSIRBhcRRxoA/ctVShoZTMByvxj/s3M0b1SbIKU61JT78nbkAynic12xwLrcJqnpInqi4na4kqzpDdRHBxs6SQwvdMPOhW/GgLTPSuZrOLbvr9937EiD7Nfnr0oI75bi0/nGJkPM51EZkDLDi0nf50AZzTQdP81mYUTDdZUiKNKp+B7K5JZTOQYOuxrSnmxNVBiMQ3ChWS8aLas/k30TIMfKnEPST2DSZ4lNV+glMSvd75RFSCGEcmm8kfC7UYMHpyno7OZqGLgzHZMEHTztoBJas6RbdY+3hPHft9+379v3XxkGCN/F0Jd7t6tZK6IUvY7t8vaibEFZ9rk2sMo3D3jT+NahtOYJ6MqsrwVB6D7uNowHN136AeCBdHLcXk63DN6YbySXwfB0f5iety+NNFzXNBF7pmPqS8YI6CC30TR/rzUzFE+Y65R1nCadOJ5kCx6KFaiEv49uXHxAhArOJAX7XOt+yCeBymu81v6Y/1uVT6qKMAGoQDJ+NyX8MN4EGHgdBBfnPrJPWLs9QJKkYGaMHh4hBR6opvrAb5Rf5fVQ/Ervn+wxSOd8Ns3XtmMSP4uze1zwqTjFWTUvkgyVwMu9ADqJSfPrw6tI4oE54oUZE90Ym3zzAMkHlYTt+NoVBRHqpyOqxeYmigLDZWq753KyUaA7l+8hckEtcDYcfMifmnznGCupDNJD79MVTwkaLadwI7qhUD+mowJIuFkJWqKDzFct4HDweP8BoAW6r/ftzfymlz7qjpuaEEOKGB3ElUe4m2d+hJEfiddX2t2QUTMBj8erf+5cM7LjVce1kwns+FpY4pbozwG+mXwnI9VsGqsPdGgwJM0d/kx8y9iB7lVoqKRng9GouxTS69q1R0GF2Ua71q73Vy0+mdPys39c5RUIxUeuTffVPEgwDB7JBkw2KTywHZVBctjyWeT+4gNN983NDILll+OX9unuU/vL/V8kCfywflBAkqmB3aGiONLw+PFUKh3m4FxmXVsOvARuBau5rLT4vTsAwe1jbolNn3uTLLxbrjuHmQnvwjCns16P+0Vw3rqZR/3Fv8sY15xN2Zr5uij7AxOz/lhd8rVoWXwf0Ea0y6kuVOX4uXXNPNda689jPIRz2rdU69DBrWOp7WbyEIVXxvBmLlTmekcCu2dGz7jXPtOB6O4795T3oXXs15G1Hqo1a9S59+xR1FG/W39XSiroWPgETGVQI5oaydHS2v2lzKsJfLw+jR2+jxk3OuAxp4F+hPmwjbQVIPenzncE0kOiDNOC9Qs/UyNlQxv6UqNivnmATHeNk1OkZah6BCzN8HZzJIa2KTOY4fyy7yWo3IrP17Z8qWyxB70P7mo/2/6dGxw6Cg04yiSXeTGrSMcMrh6/49pDl1lcNAJdnHAM6ndKDZjlWjN5mTKIJjsNEhlZjC45ze7X6xnIRvHDQaHTe6n5I1JQDHUyb915KjZa6mUlQ8B/jVbAPftaDYQ0ZKTumM5FnbJ+VcE1IHyyAzdn5HU4WIV03Qy3YnPNy1cY2NZiTQeCR7VmmFQfMZD/pzuL3tkBEuxG9BKC858GqZzUJHsYK0CubmZsAqRcltobZZTJKimvNQ/HWaPKxo0tWTJyFBsKkHd/kTMTM3Uyf1tl17nwU3Wkxwpa8Ozo9GqTunnGLw5FHXCefaTplBvPS9l3hWKVRwwv6PrapVvGEcZ7FSCH126KIvK+JX2ChRwkthp/BUqbKscsto8ahjO6kakq+YibuBMe4XzZa2pMl8dnrPq8+L6yyOsyTxybfN3J1tLoIsB1bfhwy16lsFlX4YYcwnS31ak3P1c+pG4Q5TDJzKXeXGpTzZZv71Q1JElJIhAmwfxS00rhvGqG9fCgz0fJDMc2qigqL82jv9R7IvhJsbM7qfIQY+bh0q5vr23425KyHvdVKWoa63lty5+X4k9+6wDJ6Sys8b7MFIQb2vI9Czyu2RkjoAv/bJtzTsOnoXwBP4wqpWP7jpyJzEhvfGk6xXTjkQ0xeGqpedSRW2l2MsPrDSQHH1KmaMMHMDrKQN4HaT3PqQUxlhifQE1JlZL6qT0JHI5Li3C/xZsef0ZA5UPNUJGBxNUZj7PPLIjgcAlMyipmZ6jmam7LpgTVYJyUzyKDb3wNNWvYXxjHKlsjKDvTCZaVkl6jBVAzuLRO4yWOMJ2nGTcYGlM2cujDqsCE2WeHGzdUCxnS7p+GNn2eWntqbfp+ElbELwbNZ5MFfwycETORZJTZ8MEu36xv9BpI2Hj/f3z4Y/vT+U/t0/0nBUgG02udYZjM+uZMAptKN9Ykbh0g1gv37JhLRUDxwZEAko5xP8yS9MfQAgybQ4uMa5pLZjo9a9SD/m6uQ1JlrLH2r66rr7vWBIPtYgay1tgNSWGXZ907VTqeKy+qXBgQW7/KOF85IAn22PgEhFYT9ywMYsDaWf8EapKC4O05cEPJy4THNMC0N6e63mrGIAZY1rp3YJjrLVjqYLbxSWhkwl7JM8DSTauJlJKGrK4L9oPr1N6+vFWAfHt+W45P47GkhrsKpFR6wjbnc+2Pa2m19dw0ou5m2eNhfrL//b4dfzi24z8epdYieyWZOn04aeAY7Jtfhyhufz9NX4Mxv7vW6QG3MUPTM6kQ7GrnC3Kau2s2G4rAOHwaiiZ0KqWKGinuIAdXEoEUfhOD6OGWBXtkDgqgMo7MXhiRICpL9UgIBbepfPDIELTY21Jl8jr1md2USPyuGccml2fsppyQ21HPowYGm/LogV1kM9db2R8pX8ccNwTdQJnKDmo3dnuxTqdwt44TUnO0vcn69UinHCCdZg38PntASq20FqCdpoQwLxPCgxNmYmI3LA2mHLkZAYXgMzhr5bMCdaTLzbzll9amT5OIt8OX4tLt/r6yRebhyKLNeKIOVlNcosdOqZ2OJY9gq7wGBwCf98PhQ/t4/KjxoZDiX6aX7nQkLuSuHNsz2Cq2Xcr8TOmSzj6TL8fbqOKtnd1XwdFZ9jYwad0x0wRsd6xpiyr1OSCXRZtP2LaNWRWYPbA+171zIS0l1LpbTr2jzfXKeORkj1tKVygzubdbErqWv/m++WwKXm4u6b5w/QmUWMdRVcU+jfdmBZDw6o3EUD2C4cbHFD5t2lJ+ZZ1kllPgsKhe+kiWNOPI/qnm6LanEbkO7f58r2rz/amad1Kx7Rb5GnC/VXJTWaBeA3tcjl2LTTav3sf9KK41B/bud7v25m/etOP7Y3tzfiMupAI+7+2hJIrfPEBmMb9b3/URkgJjdy6RlptfnDCsab3x58AXT4NkPvICfDkok2RzhRAuXGk7h8b+g3JdttOPNvzOYvtpFjgra3pKVTKpa1GPOPVi7vnm+qYbd0rjbc4flA9SfRn+rmVtJWqQBzQJUF7vhFEmQ+kX2SWOynqC6rlKnehleW8KDmCULGDzJ4MZZSOENtE7a7bPz7995VXogKahTeGAeoEpy/RAKk56HR7722sK4CeD9uRHGXeQyWcWsss24Ab9DHxUgPvnS1FDDoUXY76rkbxor8kOgB8+T23//9639l1r57+v68f6QN6n934/K9CygbbjL9IdVUmGIet/Obfl09I+//vP7dPHT+3pPz6JMDz9pcbeHl+PZduGaGBzMEkWuhzqwIPs7pJYB0rMTayND3anDjzXLf6emy58DqV8fwL4dkCbBtCxRuaD1ge/58BKhv48PvdOciZKpvkTYUIaX+Ezdt/MVtlm7nnI3GSwCpLGjikz03jQkkpXmIrDEIPwzn0pXYTTc29Rk1i51ee7eB5SAmyvPgb7DNhVhz3CoRAcVxhwO5VBNfisG4zgllnTBDYyZtkKUu6a95ihW2HEZE3ws3zv/fG+nY9nmVaw3khUgNTe3b9rp7tTe37z3JZ3S3v57qWd/vHULn93aeM/ju3w46HdvbkTsVw+AvQ7GIVBcmEv028eIFMKSrUQB2fropWFpJzJL9Yli+CyaN4Gpfb+vC/N8MUdNzvXRI0RLCx4mBpDJo73L2cEygx3t5nQOvGNo4gLyCFKNxHcSYnPSwH7TEPjBKfzFSNRS8DSdErZqlOX+RWmHGmjuSmlDBcsCjjA5sDRh/N5KgY6u43d/NaSzP8e3KYPU7JXZAJuNmYMgsOTE38NzNQbIWW1tOW8PtxCH1xb/LZbn/FnsNCN5b6mAGKjxWaBQkIjFdD/1bOYyUApU1Ha8D74eWbN/B9FHZK7uHFEaeGhoxiOUZlmmko+uz4/h8a1tfNP57b8vLTnPz2350/P7fTTqV2fr2384nk1cx1QPdgtlZmppPTMaEEFpsZ0eziPUoihSc9c+PsMKbO6JWXsVqjQ+YmbbHw7KkGGG5SwBEiyPJeRKpX9e6qEZK29SbYZf6AD1dxRfR/lur/SMJQNIHjzWIEsLIV+wNrkYgvbKABasdIPd/tmqguNhSHfs9wMc7da8rNduxO8ROg2bS+CjHhjdnjATc2e4Zr3KYoPXXy/P1F65o1gwTzgOCwJ1tuZsuORvPQB7g/3Unad3p0kWDj/cG7Xv7u25R8WeZXuvndFg/zT1oAc0notYLJfY2iXnGHYRK8HXdTwu1I2iKfnUZviM74ONWT8dC3zgaem7rUmHcKoh/aDXRg37r6wFBkt0LyYj+VVdyxcgyAVGy6VUwzzmgZhFHIXp6QGAyIzcJOFRUEASxdXJTI3fK5NenqoAJlMiOANxw4pUhxjQk3JiY+XHKc4XTWyz5CzcyPiCg6ZVYuKz24sKoB/SnEWmmRU4DdDkW2z4LVZ/VzhAIYvqfdDp3cpGkVX4jg70udhUNLdXq/Hewi/Essn+fC97NX5P5wPuhcJAnQNuXairqyXdn615yUdbd735+oSj3+uruvuY5mUIms8P5zb6//jtUqYx6HtH/YSBCzvl3Z+PGvRaozC4UWDk4IHfv7D53b5fGnL/3dp15+u7cO//9A+f/rcfvovP7WX00u7fCmsV3xQSMaXh1JQMJs586/duAueFuu8mAkrIHM/8AYExz5N3aEpWHDX6BvbixFEzHLjIqO9nQl6cOzmIqrHdScO6qKxoCtmZstw1UEqLBLZqNUsKbHzM2EBbIN1Gi3KYl3qBjrICJLeXDIpW91kz3TRc0wFLQkGsD5dDTybwwgf96EYmhJZXKNKQvNvZ3qNPeFAaHfy7lTlNb32kQq8x8f1UTjl4/LYflx/VHNGeDT9CQ7K3VVGNxzkl5dLmWZgbGH5coQTwr7fzO31zWt7/rvnUuoxPG2/FP3n3dym301t+m7S2jr8w6HNf3uz3eNzxTCbDPrpx6c2v/XhWWHlGwdIS7N0kJgb18m0zvaSdakyISO/2HEDeCUcRyg8lgQG39CHRxtsOVcnKu8r2qf7GOBcriyhaJDW44TizOor8q9NAOJqLjcfd2p1MpFBwLA3jiLsjtIzxFJnc8GSRJGwIYKE+8FA/RrhzimgmF+n9zzdcLwoYrSJ3V3/qvvtzKdbbgHsgzFliBMBgc3HgrQjejZSsk5hPy4jkzXp+rAIjzUYirIw9mGdMjTepJ86+EwxEg2DjPxUpQrYo7K6D1PN9v5UklKyQPwe2w+tPb19al/efWmfTp8Eqej9oH4a91Vqkwle1/bhw4d2/nBuTz89KUC+fHhpL59e2svHF7m6oNPXtdjf/DrVSHKDMNSc3hSzAilZfoKlNh74NNcK5Ums7zaTKrcywG0mtjW8EG3HUr2t1DSGtd06DSGCFSI8tq7YGjeMcsevsWUbbJVJum8bon03WGZdjbcDM5XY1m08uHanuLl6yUGcaZ09u7asNvtHmddgbJ8GSTt3aCQNWR7KGi1d1ZTN5SjfR7k6DUWlS+c+Y6PVcaaZ6oYuf6d9c9g0ypC0Ynp7d5WXgyAjfGD3u3IS+35t7fetDd8N+qVA+fY25C7iAxIaHVB3p4Le3oxlkfatAyQ8NBZDzGKRayU4qtPrji8dKJm9vl61oWQU8NRKRnax/ZYHGaUpg6FmTggB4XCxhkUd5hh+sjHgSSV9j1EDF40LqQs4FUkb/BDeFkC+gnvcgRD+w5UbTE1hANXusaYoXka9Lox83t/n9rkCBd11//zz8VnCehnnrtVZ73QQ4zEyxqWxM+zbd8t3NQvFw4doQESGFcpHnH5CJg/hWJjoUp3DELEzy6eXhZv5zHGZljg/hwhUH+zpxurui75E/wd7tvtZFmpiFwBaR6e7TlWyEdBnO6U8Y7nU2v4/7dt0P7W7jzWYSRPvrnN7fnkuc5C7ov2QYSI9/Xz8rFLo8/1nYUPMq/n5dz/L9m34aWjr09o+/++f2/nzuX36wyd1yTWH+TLLjENW/qfXev+mpSSoCN80jhfDZk2TBPtKgAOPJHiEmws+Hj/FEIntWK/rajlq3KXCge20G57raqd5Gyvr35y9p4TWGqAT6yYYwYWmTB4iXq+FbYc/nAOSTc36kpzQX6FOgePxXN2xaTP2JHQyrRd7N6a8z3hirgHXVOqfedZBGX/Ongjtq9EposFknX5gIXfG5fq9K1u9CCfIZsGwv5u/kyACDJq9GDGJDDK4Poy4PdU6lx77sJYt2Ti1N/dv6rmvd5X1PT61l3cv7fWHVwXK09tT+3L3pX16+6nt/37fDv/2oF4CUQwX8oyWYH2EYyutNl+sFxKSTzVC4psHSG5MTllhXqqj60OKzpGTFSkYiw0COKksfMfM77VlejCXTlBNJxXsLBlesBl3E5OdJlOLprgPj8/Jx3uEjeL3080mzP3LySgC7FQBPV1pkbQpkT32QUEMMBoJ3FAlu3A1ezB2YnEwRQPufZO0IteqecLCtiuLDD0y23ozgD5GuAK27RDdM5qMuTDHNBlBMMTu/O3MJg4uBD/p4t2hjotRn9anN+57PJ+7+WwyEOFH18qCsN3X7CFnVDS+1DA5G+eylZSwrd2sbu/zw7MWtzJI+xIe749t+MPQ1i9r+/xfPrfz07l9+vRJP6/xrnOpQzL7XAExDS7bx8m70jzGEJC1FinloI65dNx2prdYYgjxvZvtqicZzJa2FVw1phjB13T4ubTOz4Q03o2BGTZmH4Nc5wTlkLhTAfQv1p+72rnvnVLmwL59dBMU491bXqneL0wTx8AtQV5rL842wbyT1bEXp194RdqFXjBL/BW855QVw02e7soyDQ/ILLDNaNb0CnQAOxMWnj5OmoSqKuZSzudAVRopTGPwzdzO78462Of3c9v/sG93P951z8zgpmkAqTowzqo9wnoHU4dS+PwrKGmEt6AnvhxreBcnnMvEnDBgdATEPiHNF0RRHfwBjiFcv3NlnJw2lHlUH5xazB3RApuLPycu4+phPpxSnMo2zgVLI0skpT+ejm13roywe8KdC5SGt6YGAdmYMSJxr57flpHCcF9NBTAiLuL9rXkiE1xnyrHHlw55Lot+XiNd4e3N0AB4TsKhzGH5GV5XY0bdpQt5mL/jPSZgEZDjoxdlQjqXfS4KJ304oDFrJft2Z1NyxtfStWosARnTpjEgy6hpFG8Rk1UFi/Mg4xEChdQhy1ymtAQbBz74q5Q+GATIVd6qpbgx6Tq8trb7VD6Q3Ien+ye5N6Gomv40tfN/OGsTXf50afPT3D7+6WNJzciwuPzTvV4rXVUygchN04RS5xRtPdnI1QYVs/0FzRtNRq+1B8VMBtNFqk+QAyPtckIUXFBcUH9dPAqk1STFPljOX502FU/CZKhWWylrg6fHpr1Utzdz0iONDe2JUjQBVrT5wRZ28Yi0Si1YqLBSm1tI/sjaxVSE5MME+a2iJ8Ev4yY6dODEI0TyHLoivgf2mgbRr/T+8YikwXQoY2UyNzEkqO48yx1SNk0UCPtQvnQdMYswRCcJcWZY0Tt9X/4N9Bi4HhqXTDl+N6iSY87R+N2oQMioD2z2wBFff3xtz4/P7ef2s6ALvqTasROFqEP/2327+/muqInj2j4Nn7TOPv6vH9v8ZW7t//aNA2SAXRmvBmvzV0jcukmbwU/JkDIeNTiJSslIBsFCaE46oKY7F5JxStGUUX0x2gCCDiJf21GSCpIXz6jASNMmBskiVDpZYtXxKlMnZKnkh+adQD8KDWQL6MOr9MiFdAXDIeuYkl1Z0pjJaNaegWzKm2COUiuEMpTs0L/XWt/87q5qNkHvflrCGdxTQWEz+Ei/wykcXU5NLrudGUsmZ9JyNpWCtUfRBj9SxmFaScyUNZEQGzww2gy3Z0jip8ooaA7xvee/nNWlfv7wXPQdaCT0zA61idQxXzaltbu3mr/CtLzh3An5uac9q2YdRMW0GbMg7DtjVo3JxhtTzT9n+Nssb6uz7xmcv3Ld9X+xigvrwNe8K6VMm7nVDeN/05hTB/iXM7l5P040Os69acwE3okyaGuWkrWXBlMvyTONtAN+Nzu9+l9npOuNpJ5r0ulnvr9pkioTZI3jmM4U0l3FCunAt0wAXsvXXEPgkKoCz5kgLmUYkzkPi+Cc3d1OwRb4htkzDIzD0R5YTSYl/pKu3BMAtA4/jK39sfV5RNKGn8f2+tNruz5t6HbfKkBichoD1+AksTsKm15gKGNhDVrHUokWu7AvcAjjXJwulFMaWk63zYYSXGwwDE5XThRteILedJGVvBbibu18scfro7iOwhgoC7FDmqo043npwrH5YpoRXuLLy0u5kow1unV+LNcQMMmU82A+6ICFm14ulcmedn02cWaaBGCnW5cFpY0b+pM1verCEVAYRasdUeC9OKXGjPgzny2bUgdSu+nTc9qL6+gZ1vLYu9QA+HfLuz7FMeRdNWd2u3LKoSvOgeXh8ioTD8WVA/MVXw6u4VJYW9+MePBimjqYG2lDBq451zDlFtcuiiFtbKSo5zLy3f2p4AqR2p+rJH8+PdfQLb/XEJL5uQT0EJI1qnR96iW2xkHs7oVNg4lRBYR0nQpA5bnNkxMMxDpw8y98RmWimXS5MWWgqkFlpcYcs322M9wZiTFUBp4RHiFDi0i+mXrYJ3gOX3erlZE6qyNbVtfbTu5d6gmmzzVa7BcaEYCbaHHyiQBBw9HMXVaTZb55X8roYi4pbqCLJA/6bBhiz9UEbJHbtlFSQwkozsUKYZ1o0NblsZo8+BzsjwqYJC0oWB5eHzTzHImx7md8U7lWx+IkwrF9s9SYju/336sqpJHC2OLz356VKaKrPnx3aNO/miQ/ZBIm5iTxi2TP5FA4/vnY9h/2rf2vrbX/VDNpSFTe3L3R+7r/r/fVdPzWAVJvYIP19V/WS2vtuUuVEQW1Hm+8wT54aGvXnk6uDS2C0W1tzMIjCzs/N05UE8+kzgiDYDj50k2PGam74H0oehye7QguGsZY5bz4nuPSvfcU8Oc6FUNE1nMzLhRnIWaftIdO4dkqITpm5N/yvvLnZB5p2ISHx/URxrpRU2SjdUzS7zu0pEjG4rQTnTClD8FRM8t3ZXKcUZnJPkSfIWPj3wgAdnOJw3s2vDaY76MaKPDyKCmZK+JSLzhgrjcMBjZ0SNaCQLDIi6TS15QNHJwq16v/fzilyQ7dve7MhQykAkPb6ruhkpEp+2e6WsZBTustjY9wUMM2MD4YC7E+VG3zfVHk5L3G0q77b26UUH1NbEjded9JMnhERseaT+IgocJ6U80E28yvnpmSCbvK2HbitXaNUWZvftUp3+i+4xzOIwfGNpuMITNJQ5gCKp3BLN00JJgCpyWQhyf5lWqJh1U/yhbR07/ZCeravyuqGFkjBhRkkepuj7cRydnngUEIxvPHua0f1tZ+Lom0eJX3xuafx5LR/hpuPtJH74sQ2r0eoZlgF7WfyxYKD9s0a2DIY3OORI35Osy95Yspc22U2kAn5qGyGjK5TKnj+cFWdDOaS93jbXxmLK26iQYNgem5HKh3LxVoEcvPD7W4LwWwC9f08PF+BTLYy+auGrU5HssZhqzrci3XEhOrRWwfFxn2cg0eTg/697fLWz0P2fUWUBeeaOcW/V007A6OBDDxDcH38BocLwpoCdRanHH+WTYKB2NUkh7a9FXdZcW+Q7mwgAvd7dvxzbFd7i6iSLzcv7Tnu2f9P53sHiD/XF1kMhBlfTQ9ULm8VNczbux0JaVyohTiWtwvOqnpRmZoGaobfP5ihCD4gXkqBOm4Zk+Dup25JgRHcM8uIaTM5fBhc9u+TJ1KKGdzZUSZ6cJBJgsyxmJYcppZOzSJ1HRwyYhMUoHgxQccOvvV8lhvPIH8V7MJrE+OhZwaKzsfYKx1O5nz/MrylhpdHJJ0HwrHoeWxF5Iu+oBOU01Kl1bu2cImXS19Gb9U9g7ma525fBvncz84A9+oQUizzxBNJ7ybUB9oKDzJBLyoZxLgBLe0Oly7hNCUt1QPSgqGh26yIl7lyfS5YS3e6vWhlDfrrn3afaoRystrqWigjLG+3p+1RtvfNWWVb9++bfs3+7b/N3txap/+/qm93L20Tw/18zBMqBQk/nCUjVx4+ePSdv+fXTv/x3Nb/stS5HRGSRzflC/AS1kMfvMAmWylYzTumsq+yPhZdJ3hg/UvvyHpm8nQdmUbFvoGizq8RZ16xlRYAMlQw4XrjjMeOhTOVsY+5HTpQ9b9EbMQM1wpZg+Rk3VsMbSJZBcxnc0Ju7HLV/B21ptTtAP4G7wqXcNkFNsMNCe+OtsZsbAZ0Ro8s8sPMwpzmzWYIN0pIwnEtqXTrBP8G8GFmA98N6qM0YnMsHVOVBJp80jVxIla4uoplCFKJ8swR07v5Re4WHTH3MfOGTQOl2sWFVAkaT17S6lHRuomguznrE9HRKDmwLwhd5NsOhCoirAeP8RpWWGRjfkzBBMTTps5PVbWbA0mdBjFfGKLNZq7F2UKAV3Bx5WKFCZ2v0+Xu+8dr99Ia6MI6v2UcDqtA9c6ii3dBr/ersUtlq7KjApgo1bK2o1OfNt1T9YZPFca+Yw2GTaVT14vP2u+aUY8x21f19HsAQkw6GwPd0qOdHhBN9tNJRLxIQ+BH8coutPqUr+pXwyG05/5OziRngMu3wR/6R7SB2BA6Hkp+tjPq3BGOLSZQaWGKnv0NP96AbIHCebRx0JqtyvHneFVFwZyb9f4xrLLN4fuJQx82vlsxk+XTzqd6YjJGup81EmMgoKNRTYh/OzOc5nf12mmm/RSFAQyGS4+2Qslo2SE7dSdizMTJQ0iMhZtuH2NIFCXNHgZ9/jiBgOytUupZMSTY1ocOJRndsc8IxxFFhdYVRZmFrsChk/snMqhJWScZ7IAR8xSSeyOpUl1WaPBZrY6C+FcJTUNLNxYTLfqvC9cy+n8YkN/bBrABUfx8Hho5x/PbfzRxsaoLH7ateGzoYDVkwvvVmVemQSnDixZNzEXO32+z67NOnToKDPH251zZRKn8l6kE3o8VIczHXfhucysGavz+Hn/ua4L3ELe8qnwLDJjmfCub/XcKDXIQL7MX/o9FraL5nk9VxaBozTqKmdFDB0Tp89zWXZPu36vuYdf1i8KKlRHyuynpdyvhxqTEANZVTKe+Hg5XMqx+6XMe8HiNPkQWg/de8ajemSq3gNYpUd98ByowNI4UyaMd6d15YERcIkXJgsWyeREFGjG8DN1MRCBgiPXAVhoX4wAfZ/L48hE1bTE9MU4KBUT11dzYtqufWwflY1rmuBYBG79fEYfOCvVIKzh2n7e/dwzZJ5HPqweJ8G9exwe27v9u/Zm/0YmyLg+nd+cVTVC3mZ9vvz+pQ3vh/b8f3lmdIHWLb6zX/72izJHOtcyKnbWSAYpg10qtadF3Mb9f9i3/X/Zt8d//9iOfzjK1oxKgcaMcGEPyINpE+36Nw2QvbNqHqE25mDFAFHaNv99zGccm6Ov3njtZYBXH6u56fQKw7OhRBxDwjnrChtjTuKLTZeSOx2K5E0pIn101D+A8ZTsZFhW6cSrUHgOM7hNBel8w9VAtSe65aESyDcqRG29DlnAZkSoqAoe+hSc55d4ybYr3h1poERsOtjJgrUwoxs3Htgxt4zOpBFlp2xlHZSA+7Vc21G5INtEMXdcC9LAxd24b8/uzA9MFsEBkfeZbE6lmif4qRnk8bfhfkrv6k4iwVEUnOVQbju8Z5pxHssphcZyGyOQUrAzGHyA5LX/m2FQzp71vZTwcfRxNtXHmUaJstGBf6VQgRtoA9pk93o9D0uLO3ifGfTf6SSHVZDDuB+Qm654/9qMAEhmKfMRGAA03vhygypWeVuydvZjN3BxRSedc9Q2zna3mKcqHOvIo/vuIkd7eXIoi1u6K6lhyvXeSU91CJzGWtl54mjUNDFLXj3Hh+CPOIOq5FBzZUhmqGQoq0USfztJDfPyw4syRhkgH06iiCHMAI5Q83DDKMg1RoCy/rS2+Y9za/+1tctfLm38VGR0TR2125gc9+3m/6s4iiezgX+YIMWFwHQ2tA4cPVjU4BGckDr5KDfQJEe0Pl9rqNKu7Pk7abSVa7M64sizYNqbIhBTTzabqk0bY8h2andpn6fPwicwWf1w+aDsQkRx+I7Xt9qguFjHK48FQUbFBaObzY19eS07rbjExD5efDyCGzpYvuji2kEFT8ngVXFCloJm/a5PwpPum1kb/oqrTRxaRHG4eGCUVR/am8aUUsbqQJqq6x79uxqZU3UbWVSRwolyQUaNdd+PiwxFwRo5nZmc8fLmRSe00AXJXmtuscrQfVOGppGa14t4rcKR5r30teLjtSpzUVUpi0cbbxMEfgeHQ81EwMduH9WIjgbbrcnghKC6jBoZwaL/sv+iayw9+DoV9poDx8FyK6eL5l4WajjLL+X2o7Gux3PZZXmWTxo+3UGHa5zZO76XmqR4ualdpF7Z1zwgdUINAfTRxfFjNDNDMStyVyoK6C8ZH+ASVi74jGjlC6WTjXWlE+c+cr839Cww3Jhf9OYnbx0qTaCtUNeGqT2OjyVLtQ5c2WcoRjyfjXWlOlrvaiSGu+rKIJGZTld9ZhybztP5ZsTiPdrVM64cWVtat+dVpTQMFMYzYJIL/q+5S8eh1G4MZnsooQCH9/HdUf9/+B8Obfz92P74P/2x5qx7/s7Pw8/KZD+0D9ozyRwDyWhsx59bW/7d0q7/7tou/+HSxo+jFFnvX9+Lsy3d/Ty059kKwLX6A988QBLJ43odjXA0nFxAToyk2cFfQkjVw9LCTNTLAhf9xhmkDCWonseX4hU6Y4kGXAYFJBIEyUjIwB4hr+5rFnIPZt4sUTJk0h0BLo7OymAIsqY+KAOgxDOWo+Bu+pA6cPAGNyTbbeYl7NQedXIb34x+7ZiXv8J327r7ZEJh776iY/dQpl+a7iq7Mz8wBhiheHSd7KEJY1QHkGbKcZErOCRcAqE6mhfjj9wuMifwSDINoIAYzvreJYtN9qFgZTZADEiT6XV2gTMSXivE8fAyQ+uSYsaO8+pkcmDwBeXGVUKECaJtIbdbz51Ar3tjXXpmUUenLKzQWbKoYnaX3zoi9Rk1wer8Oba8QDXwyCK7ZKoOgs6tNae1MzpM7t5+bTHCQDI84sOZTvcWu07zTJCKA2kI6Hp+Nw0FAw17wUfhYZJ1ybPVGa7ep3HdSF23HNzsZwXEaRBtam/vVQV/71cgMq4FzRk1FA0zabzEUIYY4S1zvb9MX9Q0JXv8fPgs6zIaurIjvJtkbrJ/3IvK87wryWocggiK4TrmdRIcyRx3L7s2/Fycx+una1s+L2oySvauj3Njg2wFLZ3/+S0DJLNBMqQ8RHHN6VgOpcNcy0tQFw0lgwFhbViXXNI2g+nQAcWd+P6+5H5rKQTipfiX179UxzCzgK87YXDi27k8V7bHsDAcWh5KVywdKV2+qCgoEfHZY0zrVHOhCcJyRDExGqdq8AlOawHKRBEaG4cKphqUhJsJ9BM/Mva1GxWYBK/34wMgOFGwoBhGhM7RR0NYvhl3FV0/xlheKzB3uZvLOBpXGZKuzOfkwDJ5giKjEqDyPFxbe9fa8HubHN97hvi+Mn9YBigKJLu6FBwBF1SnNzOoL2fRJNKECADfS2nK0Gs5C8mle+MCE6NWNgv3FnxUCo12y9BlGMHcmNldYmzxPNgMvE5jUsdFhrkcTAqQ80XKJmWi1+oES3ViDIxDURvgcjMNYT2pAz/N2qyCXcC1w1jYkJnpWAfqEa3NNKf4Sgrrs19kN3cwxh7IKXxIHRZkkTEoyQhUE6pzAPDZpAwiY/dXJ3dnHHFmbGdCIs02SlcMYpbCePn6cfqx1FTToZzPj3biVwfOh7BxThn9GpJRVQQGy744FG/2u+N3VVEERsKoeJzaD8cfqgKbjzqsyHjjCSlziqkwTa4FXMXP4+fiNL4516yY+1UdZbDIx3ePbfdupzU6/24WnsnzEBg1dqM96c/hO2ZukYC4T5N4juv/vrb1P6/t/H+c2+XPlzJU4dC3i7wyb/OotWZNgfrmAfL58FxzXk6Ft4VOIsDXGUN3VInnXLqGpqhsddaSHtnVhJkyogjYeTycs8z1iBks+GJwJTVn7g7KiMSLpfreTyIOcyFEH7pYWw32cDgVNaftK5vxjGwMKBRsXbZqVIEVMALAvciFiZrvBngfX7tkWbym0n8ysfNNsZJO8y95c191fTdGB1F6qNnClEMD3tk4wey6+sFd08yo4RooIJI9+roIi8RhyBb4ANeUzmigL091mOl+IXIhuF2r6ZL3H2JyMnQCk5Q2PvASBNjseSjT9GRG4afWznc4ZTn2KZM5WNNs2KqzuorFh084rukAS5MNFj2WKIB7kGxb1wVcjwPMn0X32MwFBWaPuogMMEyHZL66Jz7otG6t7kmZpkaQpYBfdXDjDpQuvyWNSG51GFHuZ/0Yvko5vlW4dE7xcmMZpLMfHwKtIVvyBf7S58yIg/gf8JbMFhHftjhiBTdwjzMWF7iI8nQuBoLeylQDvJgpJI6jpzDKUox7tyuDDrFT1lnwizI/us67VzWOwqZQgmPBQAZpAZURSE/Hk4yoNftnLNeseDkIjiP4kSH+sbX2n1sb/jgoi1TmaMmv7u3+XHLJqN9sEB0xwDcPkB8fPgp/OZwKcMfFmxsM3qA2/njohgzivkFTYONRFZsrFrspdSuNB6rTdXlUNoIWOFZbWsTGG2nCUOqCH+gEhE953LeHdw+6oGAcKb1ZgJygXw5f1AWUXdayyH6Lm0PmAZ72/PysYAyuoXSciWitpiH2jI4Afi2TXwUNB05wMnHnMmbUDRSwEmXPvP9rub+k2bJtgiiQkTG7CZXypM/voOpdrspotvrZTquhQ9jKwVqE3vGmGKBTSLaIRRTlS8jgXJcYYkDg1Qn8c2vzZw824z08Fu52/3qvAJryXcYEZKUecyHYgYFZr+eCTa612cRNxHdwKnsz0bkA6KexOsZz8fjY9GCTBCIyH8pD6dG9sUUYdzkcN26R2zfXITJQceEI/ngXUn4v5xsmzIY1nUil47ECVcq1L8sX4dvCFe3czfpSZmm9dG/m2CRDuidcpNzAUXJgyWzK7mCQnSbGZ6JpBl/4zsFKU11v8lvdOzchU5aHMVGzuYYaz8vwuMw8Yj2mQ83BdfU8a/Nk1WSkVF1fu2Q342ATQFNxaGqh967mxZ9qZK94wz7sCJC/O/9Or6tu+Xgq9sB41kgMrjeVDJn8z/PP4jnz93CT2afSZx92+hlKdI0XOR/EXcQbkt4Bne3Xd6+iA/Ezgr4Y1cIwv9Mkg5P5L7MC5PCfhtb+j9bW/7q24aPFCN5jdL/5pWu1TO27j9/pUH5zedOD/jcNkHKOxqThUgFSv2NMS/kznURmBTtUdmHDiYDDwerC0Qq1RZPpMIQ4vej7ofWooUFZZDcZBQGUEGBR4EdklXRg3yxt/aHUIOAbeWDTLpL1/U4b8vTiEZpvy9Mw4x8JDJxGbGBNJjRFI/QPkaOhBljFErWOmi6e/NYdWygrh6/xq1sS4M/Lwvb3cQ2Ca2XjdTv/YIx8Wd+e0/OrrzRx4LxxOPBU+5tzjz4nbjtPq0ZCaCxE3N6fy9uR+ylfQjcGxqcysUD9IMK3MxKuNw9w3i6ruxoj497YDCLBRHACVJ59GfOyaaKEyeAqfhd84oNBAZDmSRpTno2TiZDKwsx9zM93rf9mUqPULvBiPaNIgc/BS3QwstRwWYk9i8efOstPBpVZMXlkzk4aPFtVTNfWG59VNu1AGf6iDj+v/+ingxsnoKpqsPFscErWg7Jg9gJfbgKFX6zG3FzZnJqbJFLGBikr410qTH+eKgGherLyhcOM+6ODbThUQ3QuVdjO8r3+CK+Tz0TcB2ZDUBHLPbLp61hUr/mi0pgDDNEAiYoO2nVoX4Yv5cKD2fR5X4MAv8zt84fPpbV/U/6PpzdluMIUVB2sVGbPS7t8vLTxp7GNfxzb+PMoqpXWyZbZ4WansmYOVChpnmgpmtq3DpBwx7hwGs1oxxmNY9xdhQ1+GD8oOJJOS/tpA9pkY8qgeMOYXsLCZ6GfKiCAA7JByRDVDNmVfK03CULINgAPd4pZFOvf2FSXAEl6PTd5yknf2d5UlvDypRQa7160sXvD5x5xb2VeGgM71AB34XFPVT5KcxxTgXVSid9HB2xstqSo8NjPkKK3CyvPITG+ifLBl7qe3fJLbZLlBlTHHFZYnjvwW/I8n0lOPpiNYipLGWPJFzzE5WNRaJhVIxI9EMLrqPlAZMZkouI54tZO0ERTfq1roYxvLIqQsid4a9NclKGLSx5oFqcbj1QlKs4vdgsi01Y3GaUJ3smeXy4DVhRLUzk0xYewk8VdLqnUJxM3549NGMA9wawToU2qTnCK8kdZ0FBaeTUZPQVTByWNurXMYMXt9X3JmIBUM5GwdoqWPRbztSVcK5trFjnwcIAUhrjbjIywTViyNmHLBEQ3AJPZk6HnfYdKlDJeB20CpCEIqYowdnY/QPi5zVRyOHSrMg7E3a2TTY+BMlSMhbarmU2mZelgssxUWvHd0O72dzUUDJ4n+9OJDpM/0faTQSqzY72SAFyvmlzJg4xRe5ekZLe0L69f6lrjyL9f2+k7d8gxZLarFAc9sBDWe/uPe41zpVkj5Z6NpiMtjXhEX7iwc0guhxIdfPMA+VK4gygfOG/Y7j3dw+fLsy4m7XTNKmaSoL0Bs1Bo+fMclFeRHfKgNMqiijZUXbClOFbpoHLSqWTaD7K9kqSQz0oWafUHjtmhZWhxn+bi451KEyoTXdxk7mq+NzdP85v3bwovPZWNFyl/TAfiqPKyVIabjQM43o0P6HIaL9KCZpzA+vmW5Ri/0rVkgP3GMiuzUYLpqpS1y3IyFEp/AevGQSlf+D6uQ29agbWRDZqPJmK58VVOZH0uIADKrOmqrEEE88jSbBhLicR7hTPGZ5W7j+VxUamonLa7kmR89poUiZpZPbtTe9o/1X0eaghVRl+oCzo9qLHHpoyPpcyTYRv4/ivbZJodXFR3JaO91qFkLI5sJKWVDtNsCmfGwX4T6IKVJ9vbOsErc2S2OJnlfOvQZqRqGAchXgsTXpabCxOdYgKIs774pnbubmZVk23No/B37isJBwewiO5u+gXnS9ace9et1UhU2kHkeX2PX68bULiiSVOGKqk3l7jGZJBLjYXtlCgPghMjY5grGUFKCHTRnMXbiIXDi4NW2eeuWCwaI7JeRc9Js5ZynfJWCcV5qvHKw1VNHLl8s/aAH07uNKMdYHQCXEs+BiU2ps4vpeqCHE5FC3YpPPJUxs1qYELkJ9s+myO794hknmpXjbqtg9K3C5BMJGx7uQbLy2441ia3ckMBcjiLC6muL+7a2PKDxThAguNxM+Am8vPCguwGk0YMjwCrfeAUGcRY8kAFCBxOdhUgdQEYN2oumPTRdHRjFOBSjkCo53jY6+YzlF664HNlPA93D2WzxbxvbpKsEWsDhDT9dH1SF1VZhM1xpeZYCtuJSaeyT7ITS9YyArZz4ub9LeC4NMxgLRHRKT92NYM6JgpSo5DtGW7Q943FA5VJhB16VO5STdtRXA2ayPDc9AhHDocWZQI+6GRWwUI7F46njL5dlQWo26pxiB7qxAYHe/Uprcd8k9ERIMGeWAccIiFZi8oFRXO9V4Dk994MY0AVpsg2NSEL4ldwNjUoGORmqlkCXcYE9wDJe4pxhYesBeuNDZ9wXGbNZAYKsY+uN9kpnEEm8dmVWgOn1vIe7WvTB54goXWuoV02mNgSydVksqSuj5ldS5rIZ8aJiCDF/eV96fXAeMf5ht17Rk6f/Bn8ExL+elC2x/fFYSsKnshnpdIxaT/QTTJfjUhYq/McbwVl474mMzK/cVYDTIO1LqV2Ejwz7+Uexc/dz/els2Yvr+X2lbk+TKR8f6751NjZxWH/aXkqDfel8FTNheJFIcRwa+BRkzU7EKL2knfsU6m0+oxrqj6LDoIvM98qBh2yUIO+RoDcf+lw2DcNkCoN2qosig0srqIVAOk4dt6WcZfeNbNMSSay6506YdwUUTewK/JAI26CuoPh5dmmXRKmoeyQyFYyvhKrfn0f2cRxUjYlAL05sHiCn8jEr3XBIGXHV1AYE9zAaWjn+3O/+BrsFVdqc+lU8lvjSkBiM8U9R11PsLyNDVpwRH2/v7JYI9dSl5eFQQAheKVLO9406cJy44ic60mW7cXPECthRnPx0ySPCwGZ90PpzeY8VUamzw4mBAXqpcxvwXVki/9anEiNd4U8H0s7xuFawRM1kkqya0187H6AhhmE6YItPVdJqgB8qVG6wW0fp0c1+N4v7/U5Xi+vtX6QeFLOk7Xy5c54ut3damyjp9VYCDYGPNWNiUfmRMfYl/JM2W9c7N3p1t9BURJG4a4um4uDNpxEJwIpa7drWiUmLtrjvjufJzPtEz6j+bdnpqhFxutSlWgSJDzAfcFMyoJQejFHerGNH672x3J80qE2l7GxPAdiumJnJ653Mt40RdUAw3vTiYhsAeei+XBfHnYPRc/aldO+GiUEbJyEPMJim4Xq88rnYydaDia2ELz/PP65vxfJXtlPnhggBgp8Seh7dPM9HlfZt0t3YdgIKC6lq2aYHmOBySCBiFhPrGn1C6Cl+StJFhUv0uVUMPE5EB/41xj7KgdgppgNNy5iAOvY1Xf/OwOkEdmnTI62FmUFGk3N3rD/YZfuxdiVmzBX6cKHBD96v3tfZfzwXJrpZ2rmKrH54LynlGWULNIBU5qS+V5KDUKpzQ0ng8xsFm4IzjbBhuJco0zSQSkBQjiLO38plWSD5jnBoZgIw/KozJSMwhBNXA+GJG0t/EfP6VHm4NEL2sDG9WIOkHJcvn0MSZpLv84JHpJ2xxpZFPQZuEamcWoxnksFhMCf2UGa0UFj9rWkWeJgQtUYn6uDTNfT/EBlwp6Mx2sr0HBAoXQSp8gkfsr12M7ROLnYGd7u0xx4EJvfDe+UWZCtina1FOeN6iA2eLX8rP+2BG8bIJPlyTiBjWZcsndzgyUyNpb4Z2VNNx1xCZzSS/ZYppNtCdw8j7D3yGHRe/N5hiLEsxG3xszKJG16263StgEypToqHvi2ZH+M9MCf82CTi8vNyDj3VfOXCDSXqe9JMsng030ULv/v7HxrktsNK6wukkbd6xSGhvxY98cKWIexKFQefiX4Z7mN+xCn1wIMMu5P7VP7OHxUT0Jm1uOd1pMCqxkXkat27JVrTIB+qIpEjVMgBNzYscV7LQI4zRpBLYwRgSR/LlaKkqWh5IiKTfNGcGAKooywRWP9lQIkXeGMAFB24tGTivjIxojqszcYp+DueuPmcSHWSSfaFkcL6ThmtsF1YiWvbMVehvyCXKoLyMjMF/PqfOH12vOgDJIb+ba9rWzl9/UaTM4jW9p9KKyQ52BRq7Rf5/Z0epJESVnp57U85egC42RjZr66oBtdKYFdqpIXj/3MSAN/rnDnthpsYYMxhYiG1/RB/b215/p/Mhcy13UtSkVMbpexvZvf6XdMHELhyAZQhj2VUkh2YGSIL84kR5++12psscA4iQm4QCCc6iGjx6SB78/kxnTCBV9cy3hVRhVQv5YyahVNyWVeqEV9qqPLU3BnSVfZ2OteJgIasbB4I5J1YAbBbGTDEMq2jIuS1aY5Q3ANbsgaIhArO7fiJFl34B5x4RLA7HDPvX0/v+8HGwdW6CAamUvH3RQmlWzRczMhj3MI9kZzds6IZFN8qJi4DjpIh0mYY0w0dB2GWxkfLDST/4T3cthEX29TFY3RIGtn9s8yC+uOvV2gmwSucDQluiAjNgQSOhkUPd4jJT6QB9dBXW3r2+9f7rucFowUMwuNBjk6S2XEx25pn+8+y/SDspn7EXkt94nrJUdvT7ZMI06mJq6GOjF+HVSZqH/xeZBMef55VhccRp5GtswV+JV18zXViBCNjL5WwsC+IBHLwDM51U+DYsivoqSh8aG1zwlOGUNjxLMltHkIkrwROmXmJCZlDt7SrbtimJnh7h4hmYwjZrbZ8NpkDPbByp3sarnhDspUGf4Dx20/lKh9uLSH/UOdSo/lzCxj0ue1ppqB0WWWMrjPOqvEI6tiloucgp7trowbCERVXsqvr2YRf7YUslthbQKkrlXmx6Tz6WFjcSLvGenWuGAjhUoGFLI8f505PWDBXFc2dc98vJGUXdiHUVcQnIaT1wca3WtJKm1Aqz5CzCWW/VcUlE6U7smWS3doNGRkdEd5PlQaoU84i1SJ68FYUYREiRKalAj9LPSlsLxsrD4Uzd3iYH59lvjKNLh6OXV7aSgYP4xXaTfStXmKiN+GOkLBSYAUJ5P5KzRpCL6beUC8V54vg974c3wohZNNpi/RJMGN3Uoa4c14dLJOWG9k+MNNhRW6kjD7VkR5cRU9eyj0r/7lhpMySg5Ld/ZFjo/Vm0ngWgfLZu7MsHn/sCi4p4zCgOu4VmdXyQuHv7PnHZzQ833BLcuLPg90Pql19ofuJgUpG9UOh5vc9+eS7qYRCa1HGnG6+J48Gmy17/MNTU4HGP0ApIOnyhyVqLzeOvcx38jY5yQPcmFqx1IXmdMcqEOHoylf3zxAghn0DAfS6tkLkFGTbAZ3576yvqIccEcuOE4kRCxq/T7UiNWMHYgkT0GZjjXzJKayRPvT4U/i5IHB8M7BSaCHaGOAoVk2pQv3cNGpwQ3lxtBR5XvJckRvYfgYjYfXkklx8nFKgVMpu8S8YfWoA3file3S+eOUhRdpnW8UDsniJJmE37l7+WpCXbCoPrqVzwsnjcYIDYnl3DW02GlFOslCFmGWMpf3w1Ci+V4nP6YAwm9HMwGcPaisBKJ4qTIFQDu2aH24vSfUiXoEzQVOG2qDtu8KFs0Ch10ALMDBAhfWbAQ14Tj0mB7pQe2iwpiilcM0zbiYrqYETDnKxgM26UGu2ZGba3Q2RmWOaJ/dMxak0U1s7RzDv0Hx0kFi7qEwSJzVc5B47GuGXGl2O2wKE6rZYLLCW197aUoFw2hR5qTgpxlO4MvxRZuekRfcm5jABmuVZNKZYpemco0wYsZYg8zTvEEdMBl6Z9NhqcF4ex49G1xaprrLGwU2WfoNY7EahquUKDpgONjjG7AflETQ1ORzgBHzft/Ob/U8PFiDn6+fxV/k7/bwgi0x7eYgh8ImUaz1gw8t+XLVGvpu992NEWBzXx1ijNRA639YdRiK+M3BSpf9WI5g8WqVRwA8W1R7l1FrXNdsKlGDKobpLHWOoB0kwuc7JTMy5+U6LlZKufoQRxTK11rB+ZsHyK0pQ4/yVUN2KkaiezfXJMuYbqdgSgkFQ+ZMt+eab+1ZIj3TyohJk6HVWGAeyfhUGQn457TqJFRXly9uxmlDGEbSNVVGwqYkUMpwk2yATAJ+HRuReR+UbNdz4WZ0SzOewZ3ILQlYmCgdPw9Rz5jPdFWTsXRnF/S2m7nWipObgWcxbRD30Zb0WuiUyLvKiLSJKYWhjpg4LmoIX+76qvPtINTNLJxNSVlChm/39YxIVfmBMshOLjEZyD2IkiTSv5z2yoY8uKzrhVmEZEPGqTreRQADY2Vw2njj/omcvYxaCzy4t72jn7nfwTPT5Y+NnnXRura2tNO6Mzwh6spQ9KFkmbkHX9GBPOmx+oL1FcrWV+bJPqwJkqpU7hzo+IKzZ+J/+IXpksuJajj0td+rDIsCArvE4CRZlZoyNJ6cjXVPVTeGRLGhqbRW9tdNod0B18wjj8zouu7JuPl+KgK/v+S3aV5gcHclAxx6y6J/197fWYZK4mAX9i6F9F7nGoEt8/rSliMXhO5nfqKaaOwBm10LCgF68zjnQCJZ49L4UzabbcDaVYUBlDKVS1UqF8F34753/kP2z5RTBWhr6H+VAKmNDVGXUY7zJMmOOmL2aNO/L4MwLHXLWAgI4Om6gUlOV1lbwYEi5ZZ7Mfb0NAPW586D1Ol+dFdxv69S41CNFIIaGBAdW1j54CCavHe5kZV16vFezoMY+vAdEchz6nCxGDcgTPLpXAHnZKnc09dNEVxwZLLKRoVmB19y2SvzDGcsaoJklin/k9nInm1jLkxmwp8hRysI7q4K0Mqwrs4OuMbXXRGxyUTJGuzxp2BsvWwnE5tnR9bQqT90Jj14KwYFLHQNjLcDDos3Y07V5W93X72HZMy6/lQCZG6ekRxzB2VgDiAhr+tQmqxJB+s1yV73lXG90j56omVGiRL0wPJy35bCKMOOSNDiJSAmi3/XdtVMc1kO9hw/gPfTezUHuP/gYzIq4drBpds0AYXmmJjPdZTccRz08/w7eGHWuHDwKKbSYDMZPXxbNQ8uBckoY4Ha5jUQJ6j4i0aTrumSwSBd+nEfUl3ErVyY5SZjFsfPjR7xDclS19dSYtmlXIbLWyPm0HquVX7SkNHIVXBEE+PDuGCPjtOo/StTjGOZd9DlVtC6HLVvGLrG82K1popkN0pGSMVJd/3l8nI7sOGl7mqmUWaah1bEGpF9HmuIGUcE48NeARfetBKmMAgInCjG3LDks+M+JEcxkgzWBdcQGpbhh2jugdHUOPs1AmQoAyqtcHLZ+Kr1ecMhhpvcrUVkLCVEcHHRhtsNDyUmp2o6x5hrat4MIxks0eJDCytDNztWKt1nU19vC3e4L2yIhavyDOoE72NvsH+s00edRMpYOrmbWT4ZmCR807y2LvcDvzMXrWeZv/wy71H6Vneltw7g0XErAEU1tOls61oiF4xsaoPbduKxZX0C3jmEzJ8LAT3fF2eZLrMbnBFWa7pvCmUQvxhIlmy+B0ID/8HQumWbXyvjWdPpzNcWa86fYx6Rbm/+Pnib8DRndXkfwoCNBwqDc4bOGopLtiRz00H3XPPY4bua5Lx141GTb/Na/bB3QyqYeQjp/TrY91KXyZJIkfLDQWVNedBWxq2mssreCNtja3qcjZyMMtlZqraCqG8ek123bzikj34Nc8Ja7S7VzHC3uZz24wfJNZVqyuwKHQp4SQ6VcQpzZ94QTbXhUBCCpaqa9eRpjaLvMKWUrvdUTj8EM6CjgkRvQgZ9VtN+xEDImAfwaaqLdVRwFJY83uzp0p2WTDFzzsHmoSahyvI1ysGV69m795ke8K0DpMYxgqnQqcRVxs2Qp+mpy8zi2NJBUBobSKAgJnt2sgDksfCgDp4ejI/ZsksT6JBFvy/MkgxTnMhz4Z3716LqKFu5nGRVprY/vEd85qAJUIbva5iXrJrsVgKGpAtOFxfFHKakLCzmaC8+RU2AVvZliVxsnTR8iQPCzyersWs1oWRoYQqJ+Hf2nhQ2SVnCph5KqSO88XTu2lhhgBgGOOMKZQi7Lw6IONOoXIYa5AZRyip4qepeU6qbm9YdsW3pr86h1UkaMbueigGAaslcwT4/x4FDEr1r4U15jmSz4J4pLfX+l2PvNut9Ddcq38lg51JSRB0klZINXPnSkCrLB2PPJcncztw2d+DjERkxhDYx3gCU1a0G0JNlQlPRsPn7uQ5HAigZK3Sj1+KdCrP2PeW1U8n0wwHfzHHX3g5vlZHyGWjegTNmXHGcaWjsCeYhYBgz5Pk1gsTrKaWovqiuPP5AxT3rGUNlSkJ7cSaw6r67ZNxmelkryRKTkZHlEfTA6EUpupRqh6QmtDl4qNDmdGjt6lp384pxELY672btTSqm9/fv9XOa9nla2pfnGiSGwYziAlWS7dGk7hkeO7tBfqtAa5fiVMqQ1/Ob+H7+XnSl59dKSHKgQFG7tvbz6efCGZe7whHF66v4kkmmajwlqSFhqlOiQx3Hu2OZpiAEcfP0mwbIrrhwSRRNbU4aPsDW+iuP4FDKWH5xYgYTSvs/3EmaE8r07g3Y06BgDUhxdtVpp8qScuzsDpctoZKJ6PvtBhRz1/CuMg86ZaBOe5O89TwuR7SobHfWMVVKbrT/BLVIHx20+lCrlJzJ+Hyzcm3SpU0JFexK2ZGbDVFPqJS0QUA3wdg875ZGtO2C91GkfBY3hZR5uGzvnwVxwlouzXl/W54cj2xCkeHdgQ6mpAwGA2SyWeOUCQ5dP+/sOT+vLCXUFb9I7MISIDUIng1vk2YFoc0Yja+swpLBZ3yFR9KqDOOgo4wzjqhGIg0qB5hezTjoZ+Z7Os46YFCY5HoagskaChNCDRH6AF4ryQaVDflnuxluMNVkUuaK9izH1y6ltC6RM9/tNEwFc2d8WXPx5BR1CVelzaiMyATTLVcfwfzaSHxTsYhmtKvKK6WzhAgMTRvtY2resu43ezvQhWbFlXKH7+8jM2yCrYrHfqZp5kXaKc9GH8QxEiEQC7LifniN/P9o+7MeObIs2x87buZTjGRONXS3+t6Lv6Bnff8PoRdBehDwFy500VXVVZlJMkYfzYXf2msdN+Z96QKYEUWwkgxGuJsd22eftdcQEno2zGwSvb74Ouq6UHBhwYyFhf8TLJ//eoGkm6MgQSxmp0RHqTyYza4uBNZSTKVydLZztOqEidW6yHCsHNcZFxAs2EMB4M0y/SU3hWhSXQB25sQhgM3tBnVrm7dNJ97Kq3A8y+ILDFPpfXSTPNzw/n6lJWlt/PuoaRcxATpqv+9LBA9ZFtrDqSye1PEcV7J309HMU06BxHytI2R10zgK+2jAhzoW5FSktUFJORVnTx0pWJoBcRX5SBBnR4hOOj8W/05HVluP9WB6wHt/sriZSmaKLq+9ZRUYEY9ZaKfqshWfamhDul9Pn1Mwkv0zd5RJ3nfgkngw6nt76qz3A0w5FZ9Pbt1jnTgkK1zcanCSYY1klQx02PymppD5PFTKIG+jOrrIUOUiTldqvS8nmFi8aaiB7RqFmmAm3tc0tdXrSnZagRTkVsSmd6yHNUc0sG7xBxcH4af8okDH0YavS5JeqFHh3cEmUNPgdL10oxq2tcLduydojI1TgFyUpTIx9ptNSQWSazizygtHk7WlEK9l8TFThFQcx1W7W96pSEL4jnot5P0MOxTjbCxYn8hlObEsXnW6wZjkSHfrkDLeK13z4/tjhbHtl8IY+R50n2icJTmF/sdJ7lRHZO55kkY5zVFckaDK7PhcJsgoYXqBNgGd+6j8GO4jnrGLOhUke4haoyhmq6JiqCtmgL0gVKyBgDkJrMtgOI3HNy+QXTroz7k1vP7ax+U5cNpDpjheIIRAF+ydpndOs/Cl7ORZFMGYtEPbYkm4xswTsBdIjuUhn/N5dmgPwDwN6Es5z0jXydAlXd/paqOVfGNN1451E3K86VgZVA13V/M4hXQNKn4sCIqa/S/7kSv4XiaRs1jROedxrj5Ket28g8j1zc/rBrpOuBMtBVWHX4e+BosyrrcVKOnq5wFiGXLo750/0i2kvCPPO9Z85PV0qakdsDsbYWbPlt27Dy3cNfTuc+5cnk3Unc1XprD+VHdoOV/szjpJGhhlFvkRZ6SvzGptMNE3m+Ce0GZmSqi+xmenoh5fwDDL9yYFKF1ZDI8jHtDPio/ozMgk91evs5sAXcns/f/ndDRcNef93vtT3EYzHDLp7sFaweES4eruNIVGxS3Mh8FZNNHyc93AWckhcgpjjEjC3dTswI1A4ohD96MT13ASTblnEn1TiMF2NhM72WszMqaetSy4wc9KGoy5y3sMjQXlWc7b8eMMYb91gQS3ySCEIqUI0NM1fiAFQsB4cq3HQ2W+3JZ+VIRaPt8Kx2MSxkWmqxChfFO7q97EYSHPSemkV9U9yNSVbO1VmZQmzEmdE84fyyb2PGx68nFh4o+/Ftb59vObut+35wrvQdYkcNefYGCS7O1uykB1fz0OCzdbVzFV4TUVRm37oDfVH3JuHO7r4DeKH+VoQFynp9Ox+NKEl/B3uFoOjaKTy7AqwVDdPcUcuqRKykLex6x5YYmRKh29wtPowMbinGYnTwHrhflkV20bcHRpHTkl/LilF+3J1AmbAvN+sqmok+CozkIl2D55Qj7uClvzIEQPmx8aOR5Ng6b5CVfTdB43aR4kP3TqyuELTsfiO7LnQlWaHc0F/dChOvOHkHi9DjZKH4szgJABw2rXh4GaVx3KMEMYLUH0RHyYxtQHVlaHZVgAo4IiFGI0XY4s4rCXa2dhdDl66tiLksPYNZsDpxtURHKA8gagztE/p3f2lqqqQCyL5qZBpAux+KvHOtLe7e90/x+Gh47Ni0PKJNfE+xQobRj4nh6qURCFzW75x5WPt8tL+zx+LiL4+1H3XYKCVicVYe2jCffDquKd263+DvaEYlFWxVIR3cZCA2Kf8V+QSANclZMesS6XbbFBDqV+Eibvk6W6aJt2sG5hGoCRYyLDa40nbbxRBTdQeHieeU7ANf/rEOQ/USBtF6biZYmTCLsMKDpi/vWUVR2f3Z4lFPeEreN9Huzo+OgjhB5em19qefhYLrka3EccxVdFLNWnd4gUyADX0HL4Pjy8WthvQ/nSufBBWO0UHfv4KacZINgcLA0HZlZV6ajyOoMzZXKer9U03pnC84erLtHiK+wrnKzemYfOY/5lpqnpXPN98pCry0lHmk/TIdQVeHLcMcGZ2WvvgIPh+XvkXs6x5PxZx/qMSaZzyWbSdcjm6vUcHuuhQ/ZONKmK2aL4kPy3uJeEqplT2V93XsKML9e78Dnu53uSgSGbjySG06wwmDMqjTlTfHS65g32a5ITkSfcKcK5nsLwvGak2Uaj7LhdXWP4kp54a7OrZrTfK12z6aJNgWsy92qcn6h6B5nnIVLVWe561k6ydPpQbnZS6NPtuX+mjYaTrRO/Tf4al6EV02IMPs4XOTpp+EdTdFpJyivu77Kw2oR1MShjYKMJtK+RnPxXBcFkQxV1ySYawe/zZ8IW2bBP1UT0psS58Cn2ke7yDMfmTQ02cJUlwXFfl5rMjJco2b5pgfzw84e62JCxp0mFpJuCZmLqiZjkbGO564ADaqEZA9GE6a0GLmrj6RbGIsPScekBIDOFDy+029tbvWEZsEKQnsrcQt0WEz8Acu4rxxfv+HFARzmgxf5sL7mdbe4hzY6jJp4sirvhriZ8LNjzSZzBOPmki8qiAlME5wjVCYytB9gjqbIlfUB2fQ8D2XEz6dfL3MI+JCBneHmpqAcUPfDoeAlQi/CUwOVmOLcv6y9FlqWwTBVMxsLCfor3QCetoQ+L0dJIPTBsMvw33a+7b20eB5sa2Cy2+3CidMD4g0LAxJpiR2HhI+YiPr5ReNJJB0TnQxPvcxkp5+EOC0CBUcOlPQ1P+hmRIIqe4yFgQHgRryFG071h9UW0LFZZLpIpsjl28t85Ds83CUWVGvZR3MBqU5gk0EqGeDa45TXryM2gAkx1UQ4x96d7dUda+5fWnhfP5Ut5U6bQBKZpnX3GfLS1xUs9oOJLOjKZ98FpJ7SgTLTzsxWxACPDhVDrmeJHfrqWpWlOp/KrVOzq4qaUMQses7cOyfQgMh9JUyziVJXNHY0/74vo4mk/tb8c/iLTkr+Ofy0TmKmw2f/e/rtOQsQnR+/Nc/B4KmVXlD082/gWcDqkm+XZAm+Gj0gRFhYOG4K1SLOFeTW4LvAItEiwT6JjaTbeCwPXurDCS5SiZWHpmmZjf7hatZuHG9kgciqgUdrv92Xnh7s+w8lvXSCTEBiAPxKxdA8dP5mBzP3rAbD5bwoUgLQZ8vNAeOFm7DaeDHIzFNLF7sOxA8Y95hAOK9LzaVcXYZHxeDOIrt1munKt0tUFJ9NxaqjCohvMzTF4H3gtBGWB6mCcphXM4xDm3LWO69k0QYVyjvP5cz4FzrE3oH6wtHQw0Q33aaGvtY65k4/BCfCi8zIFRNQK+HGWegmGcJharkOu47xb8c0oDNI5KbH0il1WFwK4GCoAykfYXLfYTOV1aU3MJ+OxfbNLUopA+JmxfwvHMvzTMBEE7dD9m42QyWl+xnxa3qeZ7r67DjinGNZPcOb4Oc6ceCIPTLGPPVfnMroT1omDJyq55sEtfarqjIkwBmYGHtEX92aDn833Ak1waNWcXdDxc6uFtFatjpJjFOmU0+ErrL9n2XgCn464u3K56Apb5Ai9sPGH3c4laIAKtFhUDju8yLFUMPFbSNTKXE2k5gianvXf4UvndQQ6CCFe78tSxBjzxjaxv1Z+8c8SVesOO7CXlGEzB6hc+3mN+qYF8sv+iyufj4nuJsTCN0CfjwjnwVgiXJfwH6wDTO1cuyKdjPS/xlvkvkE3d7zT9yMESy4gdgeWi7kfRBVs6D2HVh0n12JwAQ4JmnpAdg18yHPhoe+v76V9/nLoRwM+2Bm5kTj+JLlOLP7xXh2H8nync7mKn8pRRvrTy1KdCjdHxgtM0Xa8qFJEsMhwOQmuh2pFXY0VKtoBUUA4YiELS/GnNibOgo/yQzGbh+ok052m+EqySTfHZBAnaK7fMEjpkKgDPTgkvoEbMTm3u0zyqYVTDhd1CGA4j+Nj9zvMIEM/41yYEvhmjpLJ75FLDFNrclGAA9g0JneCkICxZzO2pEJi2aJmWujYjxXwHl6inJSwy0NLb1wqG3TggvhUauOya3qPKiDk0W5DGoxwbc51n7TRxsKP60JSph88xVZQEGfEetFc+B5smh5MivbGhuQTh7pnp03G5Fjv51jwicxTMpxqlx7fwRQa7A/7PTTfGmy6yOk6nit0TteMExjd6LKI87Iq4/N8UzEjl8qX59ry3j9cPnQdfoyTNU1f1alQfgqcWi6r9jA96Gf80n7p/FrWOcwC3v+X4Yt+lzbbHqBghjwbGgxNNj4GMz87m92O53Sm6gUM6SgltLlBocTgq3C+yKRbMBEsEftYysYPFd12qYm5IlM4TnMK2hXnWIMqD1rFNT6e9Lp0gpnBVN+0QMZwoWMhnkp2hYEXWE+/A2NzN6gpsr3vupONaQxSRaxWFRu5rKGNVBBkS2ekT5vMg4nXX/AT+I/IC+FQH+ph1wPvz86DzBSdOri4xm7KZ444WITzl4UA6IQ4xXmb1xLrq96RGTsL5paM60ws40bUd3x3BZm6y20b4Jt/DxWIQsv3DQ5ko4PeCbuw1sWv3yTs93AsBsXzifNXXRgZJ+mE447jnxOMTJPL6KutGdf9iXsSQ5pZl5mpdwKkRHNxF5/Xls901OlYoqGeY6YqPLZQ65NIT5qDM6mw2eot1Js+If9Nx9LNNfyRv4+uON0Rr0W4YSa13FtP7PVaOclwbGNoYd5qvBOj9hBU4I0meTh5TtT5ElTF/wfuhKhNRAHdFlrnpHf6NQbnVocPZS0myXPOKN82QoEZ7BBNtgp3uIiX6qgjVoiPAEMQORZBj4FFMDjyFv09nf+w+mpgd4EKhZWaMWZJWxdIz6z8ctPCa6BAy+wjJyZjm/qn4W7mxLjwxh8+78nr1o2UaDxWEPX4X+6BFV9q1OgWl8uK2cDf1X8nS0Sc4Y+VMZ+6o6HqP/HxXy6QaKhDZs5gQxkjy8IHYm/GLyk0LpNwNKlffERIpxSaA1pLMMC72zthB+AZLEqcUeiAWEwUv9XTqniOeMJl4LMvj0N5Nu79MI8lxKfQXrZ291k6DH1d3CxiI6VZPh2qk90vhKfGJUfGEFaBqGjhg3fe1y8E+ExjTWmQ83gGNY7pDCldjAJ3kEnZi3ge9yJpcDHy8J9nM9DDA8XInVHnyrkwx7kGBoB+BoYWDB6WZRYaG6hgtDwIHQaJ2W66+KOHNUx5eehgI7AohmUZMKxLZhYcuZNxvdj6eqCIMvk/NC3qu3O56UjL7ActJG19PwqbQ5Z0DGIqv6wNWAaodOGnKnLhRGog5K+n48BsNzSSFPduuW+VTh5meSW2VXu8PJZjDJv1oiboys8hjA010vjeict6gP210u4TgsVpCN326aifx/UlWweO3eZ2Uxu7p9Hh2i0fyn+UbBc2+u3nbU2BUYP51KAH3Xp+8YGBnVe2ijOuLShlBkV1s+Y2KpNGkRDEf1yW3QpOERHu4jgNia1xudN1eD2/CqPUEfR00TOg+IbxXqohMOMDDlPEggyTMpsUzzsVNxlT3KfLU/v7iYDq2mTBPsEuYYQ8Do/CKuG/5nQgHTZGJvBBh6W+Licqrhe6bjael/2LngfWUdYkr5WfF6FI7jmFm7pBh6hif3AjsqsGC+xRcJcHqXJK/10iFyxbU9dnV2gVpPWqYyY5KqtAQLo+r7pxa+Rt2jEwAoG6sT3pwdBuCa4BqL64Ujz0uzG2hEnlZ/FAyjjT+tooYDpeaG5cd+1euhXfOPoAcP9YOmyFDIUs7a4iN1JF1mFXGSjETSZTaHHcAMkv5Dc4ZtQ3XQMKbwz8rg7gXFI7Hf/MClDR8wLX4MQ7c4xf57kmnY9pjFdF1NZdMesIvy5DNGE3DNBgBTjsPp1upuQ55vXpsbl+PXkPvp9lcqKB+FgZCla6Yf593LjTIXQXaR+NVci5Br5XUEHUKZm0HxmacEeO7e4a8xo7LxeaTnxIZ3ihNhV/727L5q5L01lMbFtlCc35u+pMjnVtozjqmF9cdewOIxbHaqnNePFHnDSunEKGhLIlkxV/k/Gr9MsMSIj2CK+Q++dpsoabdEQMoU7V5QoyorOyW46kn0yI0x2Gu7k4yTKOawzRXZi9cWCgkgzaQuYPtNFVOu6g+bf8GbDJYSrrPH42azvTeg3qfG9pEiJDDTQUr4EMTgQTQco3ZSuDoXCPucd6zpDBerLPOsbAN5u7OnljzMEl2XDSYXN9VR/MtFGzYmii84+zEf8eSppwt+BxURxxz5B10s2qywQD6NPdkAeRIx47kSZPYAh8bs/qCPf3e3Un3Ei5cHiYIY4c4DlzTOYAAQAASURBVP9okN7Kk91h1wskEzB+abhyGgUaa3BBkPn60Llk0VKvt+sqXnerOnKzPvDew3cPH7zjcykRHPDDTWS6xkcfxFgTrCk0Mdt0eybm5lOpja1S5jJ4ke9lq84x3Z2ms8ZLtdu3jf6duh3HMsyHF3HUScGMogYoIlO9yL/mdk4aoHAsXlYXLU9AqE/gOgavBY5fBmmO2ZGDmQXDktM4x7Nxrb97W1YsgjwcnfwYbDSE8/7z/SB1Z2cXqVjeicDO0ejBmdM7DyWS34K1Hima5+qQ6EqC4UrhgUzVXNHIIOl6wJtl/uo1EONamVlcSmXEMVHv1e7d2bBkkuzgrkBHgSECh/BvZfG/WbTTh1Nb/9/Wbfjex2mag7+vFHR/e6gOSsc8XPBZ02+FJ3Ld9Oc+RWQNSQO/G9r7wbET5PRMZ3Vc3B+6NN5HrqE2KgoX3EhviBS0H9oPwo7vl/eaBPNM6kTkf+fFXbjvusynX5Yvem9P70/q4unMeG10h7lWQBh035yong/PJTUGTsFVZ7XVaQa1DHgl94vXC6aZzCDh0jgkeUDKJJ/nXMWWjd8xx2RX6b4CIbVBMwmxExjeHmqj5wSoJIDTQVzImAiHcdIhPcuc8ZD8XbTY8teLxpcdf+lo0uUsON1GDaKWQAAnl3d5JQarC2AaulpWxs1q0sUkH1eLCLLtZEkUtCmOKaZRpDPJdFG5HM7J1s66Kefw8W5s49YCftYq3euxhi98Dx37z3WsTs5whwgIITLLP8dffXoqno90jeqIOGJaj5sFDg6TSW8Kf//IhJXOzVAFN4xNgoFVpm/JxUlh6TzDKGd83NLfpzCam5jJYJQg3REovFRTOkT0PhVILjnXUL6QLGC5pYBFOV5V1zOUnnSMWGuZFRBD03Azhdt5mBNlgybgVljUpbhijumidN15rytbXtERMxx2BGoJk6pblSzTcbspzHKTXlj+5/ccPDD80vBQu6LE97lHMLjYJo86UsBgu8ILjQ+e785t+Di09n9tbfizFSRQU35dK9B+87dNz/s5vdfxXKl8cg6pP9dmeypLupjByBDGHVzPAVoZ34VVcFkVlMWwaSx4JZun5Kye3ub9JPc6sEQ2QnWci5JXMoxUzvpi0Z6HZz2/DBilf3eMLZZw0qsT3WqeqYadbOy8LtYMxa4VtMNrBwKYu+hkPeoEyr+dygKP50adIyTzxbqI7pi7AIO0ffcp6FAUBsVeQ7H1Cx0tBjEZsGV9CRab4dPfrEDKbcWdFYsOdQvdH9MpHV9OhaFx0+VyfNlWDOSqlByK/3RqnGzqKZDrSRym97f38tA7VoEUyTsKBg8V1EYbv4QlL5oFE8djWTIx8VOBfKyuNpxLZRufq0tUgTwUf065FxDeLQlkcWjKO9b0Vx2K3b7F3eQhpSDC17JtmVj6vHcXOt53OsEYIvC+Y/OWxaGpaVx+PNiiON2MFf2pB9qqJR27XSR5/fG3yySOh0r/bXpFwHquvyJv4RbGlh7cc+3YTgrjsXAzdnfFlnJ8Hxe6J5oAe1iTn5/iHOxMmdAhZbMRrKo4JqJAeKIjgLuUzEO+rwqklVeajC8L8xL2yJqiKALLMZQymZrvCRamKT+fFBVrq7PhMNHVvSTXBmBeiMJ1QJDjdKfeWKWkjnWxKpefU51+YCekk5ebPJsfwzcOJw/n1n5q7eb/ftPG/2OszRG45G3Thuehrf8fa+Hexy9H8fjovokQUOe8u0gCK8x5X3k1hMslMwjcW7G39j6M0a02Uo7YqGAI/OJYzFuEO+kC0aksHqTyukmR7IM18zrRXtMx/n39d913nPu5x3Afj8NRnaK8LY82rB0Kr5XBMffOblBgjaxf1pNST9t7tyekg5yrvXTfh0lacu5d0jF5bqRGsm/q9+P36opRpvEMif98OlcQF8Xw4DUGq8BFn80xOdj84jShzYbn/3Kq7KN0z9+yQAqIR2ngdDBdeGgXtO0zPSQXMATjOHCwWMNwl6zQHQS4AdPk3X5XypWYQOA5Z82pugmrdnRT14O6RF6LjheHYx2V6TiQF21KfRM7q85NdBcTP0bUOOouloueH60gICtTOtbh96X34jySZHuoW7OyQca/OKS3ynHmYeVGZ9I9l/D1MHm7jMSMVa4xxh7z9ymY/DwWeqzEEvCuHdvOL/pvuzR31xO1je1aDE5T56xJZAnpebivmIKhYll5OCguz6uCBHSUobBhFwURnntgXmo6sQwZYr6LBT6LVc7YYQB4p9exHLPkaZYySIqwkzIzSNJkdCh6TzxFU6CzSdhqoXcM8fyUHJUibTusYIcdPzPPllNLjmsaIE3XLjydR09QZA1ycuA+MZ3eLNrNzY2y1j+OH/VQ6xhMt7betuXdsm3/+1ahaZ9/+SxTZnXYm5Mke9on9nZBP65rcGZMMfhuYmS1qTC8Qco6vJVR7rFOZ6yfYJO89gzJOMnx/j9Nn2oza5OGNKHTKU1yrJiMbGy6JmxAlxqYsKYDffHv9ffG0xOg1a9JvFij6Wb4d3a4lv+d5IlDUYBItKQ2SD0FFQk7ueZYBIjmRI8sjwoE0+ugWWGtgymjBbcjfuhRbIZx+9cGbHcuUaqMTcev4JsXSF2AsQpLLJLEnt8jHaidAR0kuFSGI6F8CK/0OJ7ORBPMaVEcJfhVx1KDdEqKA5fCHdOfo6scVyqAq4eVFqiiMXeVXRGMVA4+uHaYVBr3jhwLVYjGkitW5TdReFfYEZiLCsr5SlOIPCkPojiBFDUwFPA0kvZYYGhSPQXnIeFh0UbgQUbXONMJewIsdcZq06Va3fPR08cA83GBkdVb7kcblA0SIrWOah7AhC4Uh5+8J8m3kjLJsX7c6Aj0sX0UwM73xZlFHpRr78CGItQxAa4v/e/hjno6rjiFpQskKXkLMfIKp6NTp4s3xiTPyskyQIo57/W9rMmkWPLaymLmOoXcznGwW9jNCqSGN8hRObqRhLiaZNrKdedhzlRffDrrwUO3kruTh1CJMsgGr+4pprjOH9LpYb0SlHN/e9+2t9v23fCd3ncK5N36Tmvk/n/cF7zzcFJgnPTkq2PbPe1qfb3axNaWanyKfYDfquVzXZBBzss4KT4kD74KylhrR0fTS6UzqoAcy3H/1+HX4ugacqFTi8t8Bmahs4Hj0W2R0XS8lBfr3B5P15J72Q5FySMG1/xTGVg79kKsEFgSpJxO1wKpDnFZJ5fH9aM6T61RTot8PVAJMM9wbL+Ov+oE+nzz3F4vr3XChMlxsC3grHypYcC1x9JPOYDNKEG/pYx9+wJpHtX37fue0qY2nuYu3nvDpb1uXstF+HzQkUESOI4k40XxB3R6ImOTsbIrlYwsrAgvQvJEg7o2mxEpH+A1XdF6bNubrY7P2KMp9Mh2W9xILZKhKA50BQq9Z6cbK4qA40Os/fmZq21NmjM5VftvM4pgkYITosaY8brCfexHuuyulrplKKHJpBf8PF85HprBV8FF9cnRwK4uvXDM9bguCPp/VnzgmZmg+5gNFF3NBcQbW3ecMYVFx0mGNquFOo7vpu/aT8NPWrCvt6+CUG4fb8vQYVMPJtJRyQnPFx1Vnl6eavGfiyivwmGSMJuhsKBlyTdFjYH7B3xxutrux2A5MQ4Uad4LqXR9o7KXZxa6ysgwlIktcrehjtkytMAk5HbSRBkoJeazMqN1YcwmFb6kcoiiL8cZm0J5HoRT69iP1ZozqaH08Av56/puLRI9P3vz1zr2bv64Uff44/CjCubH88ci59/V5rB+WGuoEOf0giIr7oFngEJGMYBmo+GiC5DuIRAWG655fXndKoY2wqXoQZOLSkX4IqoX1gJGKd7AGBjy9ww+kEnyM0WTQtwxHXV/D0R02HOSay0Gx1DrPzQbrUdr5wVFwCqxEitdLL9yYglOzn2V2ITNlZMEzZ4t/SJ4IGIWfrLoP5djGf8eazPTpmKcf+6OFRgsmUncP60vThNEORDt8XtMsXt2cPtQE0G7XnMhQ09Qzsl61APAopKbtIF0FjQej4QcAfwq5pJJLwXStBDx0OgAtnXhudEyjT1Vx3e3vVMC2s3mRguKiRs3U7poW/Fz5Obf6Ia3g7paFahlOdOou6RI4Y9oEqrI5jtLvkJlmVESuk3/LGTpt+YRAabz95FQhrge09scn9KtzIdaXNee7OiOuFtd+edkQXY+6Nb0Hz5PgzBWdUmEqJnAr84qZhgMvvxvQ8tCeQE37s+LP7cPiw/y4dyv9+3yeNH/nx5LbcGfyRNzv5dPJu+DjpuTQAZFud9R50RZo24ZOodDyrpkz3zBxAjwIEbrrOIBt20mEwunUmyJoToRHkRtDDCcmOlgtLwt5/lsSrmu8/+Ox6SIyYPhlMVFryH6Ygo461hTZ/JZ4IZultqsKZLwBjkaLv/hIvBhrQ7p46L4gD9OP2qY8uX2i9Ypx3FUMt3YxQNI1in3i+FHChXXi+Yg9KjM+jLMlCTPVLB00cL/wfSMd6vY0MX7xKICSuG3XJbiyJGdhkJUNibr59r0jtBubHvHtY4sUcf+mdS4d71sOJwKjNPHgEJDTN5LGgoHl2nNgA3PPEUj2+Q1UyfoPGGvaGB5Ktw10+8IJaTQsnQ5Shp1x2wQ5mTz59QZ8Uz/iSbyvx77ui3ZG3iViLrtVj+QnSj4ohYffnFYCu2bJIN0J5nIwgNTUtp+U8J1H7P0wnk4pgpJojCK2Ht+rGENrfNYTiF0lavnWvjsWMJZTmcdUwGJY5bZQ8XPFScbp5Yc22XxBZeShwhp03PtyALIOeqMV2/Kjhd6MSSUic1BOy65zFixue1nl04rn+4xRVM0EzAYFy4WNNfofrqX0QRYi7BMwrdwP/ZH99nk+tJ1krBnwDuWV3Gq0aLDLh+Fx3rsqZDJ2BF+Oq5Ectavdlu4Yauj8ce7j+rAbv/bbXt7fGuf/vRJneSn9knHoM2vGw0ayEwGO3x7f6vXhdH75dheWi1smd/ak48NTjEDdHEhQQMlOEgrG0LUKBSK8F+FCxrOyIORQpwTSJyis5FLR0zEBRuzIxcwr9XgA4khU9Pp5qsHOxLZmLCIm0vsA1nc8TGki4JmhjHD8bGtf15rXYuCdt/aw5eHNnwY2nf/l+/a4+qxPR4etQ5/WP6g9fVvm39rL9sXHcuVv75s6ha55yK546Z+WSv3XORtij+mHMOoKbhs2jD+4H2fYhF0Vaaw9ijMupaQ/XHRXlrCelkIAlMXb1wdeowKofX/4RVrU104dM0bUq5vP5k4hzpdW/TyomVRiLEim266t0JMbWVmC5Z6usJxrGNkvDpC08SAFzqpIFQpCT1sVhzz4MwXtPFGq01Q3mnTTW14PXSiSjjlGP97EMU5VugGYGXUbtRJZuHEDABip3Z6drpja7enW10gXhyFS4lvOM8cnbfrFjjOzsG05BYO52267QCsJnGAuRyD30a92bT5wTopkpEJ5vdQUYSPXK6ZyPIsxBD3dSip4vtscm6jgMRLhBYTjCj8QR600B+ictEk2XGp6Vh6V2jFRAYKwgg5lk3XxSTXagcZUWTyIZL6LLAp0jAVz3SH8XCk5sB7XNYgIRb3amrHVtfTmSVsKunaMrT57vY7QRnLn5bt/fv31v69KRvn7ViemvI/HE4qDnQckZLx0hOFS6GUqQQDLab9vo/qPmaRFkkX7IYOLpAq9O6wQvHpcQnu7kJlET5p27QYo3I9KPaxyeN4LFzV+KY26sWm27CJn8qDBzXJmTj80uY3MxTJWmCt0nnjOcr7PrwddDrS+/mutfub+/Zw+6BCymt42DyoY/1h9YP0y/IKxXJvXEjXrCHEojDWxLGyabIm+P9sCBIcQHWDEsf6OBekk3WQWGLlR7F2kd8NF93jTOq5rvJLZHMCL4eUb0lrrrfgBk6FbawhmYuk1rhPPjEKSVSwPlmbJvbHdUv55C6AgjWIeYaHOTMjyWmLjVVDHJvSCFdGgHHa1iYJed6+D9wX4ar+HrwPvUcXSDklUaTxlrwsKucbL4HT71Qgnz4+6c19Pn/Whf7D8Q968zwEXHTtTJdJ5pUawhwK25IpAbwlrP5ZiEzxsMbn5timPwU2KhBs8kPhoFPCikwW6+8VT6mCZ3KzgqAWi3azumm3q9uvQusllQJHwblm5dAuCOQUueNFJPHT86k6XiVOFlQQY1FZXV3q+B9JHQsm07H50U/4EoYK4GfyvCp5lKgFikwsyVtcqEN5kS2ZSeXCoTDQNTanPI5mAnxxJMparS3LhAI8Z1/vXwsFy68zY9ES8cM3Xd6U+iA4nLiAMXdAztXuKuxqWBfBd3xr33/8vq0eV+qCbn+4bZ9++qSf9/LyItqHbKYoHOjW/UvXQfOMgky0eTH4mHXNcpfGF5BOdl3YkTTMdvnWQGWsa6UOjuxkYi+YlgO1AEOkQDqPJFge911dF6ePt7K5ipaX609HnXye5CfzvUMID/E9nplSC42FJXN9pAgj/I1CwUARAwQwZ5tZQJWhIO12u3b4eKhTz4dlu/vDXdveb9uf/vQnXevpYRI09NN//FTc2pvW/nr5axk9nPfCyqG3AHUQfCVep+30OHLyrPGeuAcxMVEhI1CLjY7TCSF4UH7WhmO8wSqYazSWelzqmWQTTgcZjJ57Aox1gS5l/nPCzVRcoait7N3oGGjWoZqUU3Fqe7jf5SDBAa9Tx3hTzkSpQ8YIXu+BXGSlMiTxZqhuFXza9CtR3YYyxFAciQstDZP05aYE5s9TIx4uDyUVjUPUty6QZM9QGGmL6XYimAfUj5NNjj7aRZw0RxVPhKXAXS9ukU9NaQlA3p2iAXV5sIYS12cHhQohr8ZjLZI+sl940MEvuhT8CmdmvNrV6XDswajuDoD7WBk7MtPkNEu7j/rCk+Sw8XPMjhQxxxNdbIvmv6KcWBKlrg4iL1w2zBJa3XgRY+lQUFwYl9HXYeTKccGFN5nP/PvcVBVZKBAUbicpxkpLx66LlTOeCKuLyGtx4Q19RMXC00fhpIO7rNvWxoex3Xx304bvhra+r8KP83OS6boxrd2yhYnZdSUFMjt64AQ+gnvGY1kBaMeKXlBnMDpLBKgId2mGA5fL/0YpisqIr/E7KlzsPGiD7XSnGMRaKtvVVYsmN3C9hEsNbPiIMkXHUI6oDu+SN6QLZGSkHHHlL+gJvQQU65OOwpc/FJ8XLTbOM3SQfI+f1j+125fbNtwMGn5BSWJT+M/hP7tED74iFJgYP2RTVAFZjN3nkg+R7yPDRITBScm+CKKQQTmaqshl4CKC+LmGOmIUOBSve5+OC9Gk2nil3AWqEluB+7ee8VphAdioWkR2BrN+lsPd5fqq43Nh1GY4lI9jbM5yKkodybBFXaipcwqdY9hiamFnJ3hG0K/L7L/1zEEdKjLs71Mg317e9AD/x/gfmi5xRGDHhh4Svhg7ESJ4jditcc4iZvdkMgoexAc3/ePwUQ+IdrHLsf06/Vqa4qNVEcNVXia52H4l3O99X2HkIV+rRYd4PhYnjBsMVipckAAsjD6PVVgkRXQ4U6ZbiZzNVH7usDzHvSR3nHbXTB3LmDSM4miz2JSxAfhhO7bPl89FNJ521UVZRqgbbekaPz+k9xCtdQM5DZ7KbUVOQwbFu7lB7L6s4omqQEXbEQWJuFCHR6ytP3XcxPrt/N5eTi8aEHA9po9TWzwsWvtvrbUfWmt/bK1xiz7Won798KrIiuGpNjl1VqdTW76UqQiNsniIdF9Wnwh/xpourkY+9lEguE/S5y+uBRJMTEWQ9+UwM92LuBBNNakXbnrZqshRSPT/h1vdgwzZWIvBh/mzu7G65fA5pZm3c7WGWlC2FnsNLsKDBYbgZKKOl73Isaji5y2eNbBSoXyvEC+6pfdf3tun8ycpbDYvmzb8NCh25LiuxMT9z/s2fZmUjwS9jAL23fhdRZJeLu1h/yBsmELN16dLVGHhBGA8nCO4rOMooMNSrxWK035ToocUisg1r1tl8ZMlDzQmT7HKBimVHI74zUmdbCJ00IYeIsPV5rSqjZrnNHGssj6cWfCFjM6/kVM8G6wlh5p2nyp8K6IDrmFUM2FtsH6gn+k1jocyxjh9rMI8jSX9HA4aOGVqr9OY16Filj0Z/0rZ9q0KpEipOKCgJx7O7R/jP2S7zk2JOzEPoo601uWCSUq9EqNOx0emG1DmDN54NoOIG0sWhCgjtmfSaP+01OuQFFF3v37TBTQWJdH8uBABVaT0U+0yMTNQsRhsRmFSbnJesiDmluxzy6bIlfoRe2aCG/yHIsyN0k7J++FoYrJvMEkVXhtcZBoeM4m49sSAIxzOrv6Yf87UCdmxRSZ3yFHoFl+ZFlvF0LEcHy+FJd9cNGigKOoXNM6bJu28HJDY4Nj07hbyTFRhxg4fbBnlEkdGTwjngUvzkCxdQ6fkdYMId7f9qF4Xq1+n5GHnIzgvRfKxPapAZDorFYxdd6Kgyj3iIY40rzMF+PTvGZLkvmvzNXaqodJq8RW7gY2WrkhplscyxTi9nERje//7e3vbvbX37ypC9vzp3I4bu2A/Hdv59awhjeCo86JypefOO4tiCWhDtPoom0lYC9H+8/61nqwYYt2L25iM+oR6mTrWTzuWtfZYWkdhJLeIj6zdnpVk2ltYGTGLiN1cPE0Tf6A/87E6g8cUSCm1PCXPkKezRGIS7QFkBncitQ8n1Za4u0emq+O/HZDi6hQZaRRd4LixbvymBRIzB140QD0L5mnz1D4MH3TTAZI/HD/Uw3YsqoDoNwR2DUc9WBwlFOc6nFT9wRmQIClxjR2cDsIdGp/cfDiX9+f79i+Hf6mBzvGsnZkineIZ8DyALYMhWvJ/v/x7HRdwZpkuNcFs+/aP9T+0+3MUCucy2BS7DVbwmoqy6A3UC7NDuWD1RwwmfmvUKnB8MIEdD72phlF0ybGmCvYa/laMd/lQZ7I+ikicuE0pLQCWZw7MKpaWcWEsyyIXCE2I1Hir7wnNKWYh8b2UIcOyDB6wqZMUc3Fsr3ev7en+qX33b9+19ofW2v9oGjRQIDkpICuDnMwu/X7z3qY/lNWcqDrIJrHCx4T4eChDUxY692U4615xT8VH5Oex0YLtcZxallggMAjXJvgTR2uKndxhzlZGIfl04aQ4/rD4of15+HMZ+y5tlMu9kdNZHfmFDQP6t7LPEtl+eezdhgxYFjUclAACVant0vSQmY4kVBwTWFvZYSQhIvXhTR1kBkf8OZ3rz59+1ns73hwVOcwzwc/7y/Ev7e3prX3+/33WgHD8PFb36mgLuik2GxoNdaOL9+po2dzW1jAvTWgHUuJIi6sVsApZ8mMVEhoCrrVeL+iDN0caB4Qb4ZLK7MNYrhx4MMZg4IHf6sLxGpxExpmN2/lrIxFOD6EFAQnF6DkUtxjdUgcU5AeU5LiUwFg5BQoKgLtoDTnFUZQ9aD/DS9fG8zyKmE9UCuq2dQ1p2cR4jyqEKIHe37Qun6dnYbg/t59/nwLZuxh3BTFIRdTOhed4o/bZU+MMBKT/td5Z6oDFsYYYliNqVzO1gJutxWmeYAY1Ig1bOZAkQ02D0aOymyVC1B6ALA7UIbKNcpHiZ8hTbnzq1AIVpXAKMeixgWm6q0RC/DboKLtSpnOZAPZJoLHO7IxS4ZgXGJuyrkP2Zz5i568uwdk+kQ52yVu6UWdx924yPMkQyjMImwc0ubNMh6T3uqzu5nJ3qSM2ZtJ0kuBMPBzc15mtWSbqOk4xBQ23MdN6k+DDx4zRacjNKkJwD+nKTa/JdLhHlxpPk4LIWG6GeZGM8TVg4HE773htIljtbJRBkZyamJqaRKzrzJf5e2sa7o43LAiJBjDGYK3FB5Pr6kmqMDywdbfOmtJO+/Z6etWgcvlag5Ljf9bU9WX3Ilf750/PogfheVrf9BrxK1gizxDX27k8YSEop8anlqiiJBpwtkwsypSdbuvBGESIMZKIYRvz6l4mOndmD3bh6xynrPfuRiINQ3iuGnQ56TLXLA4/uV/6Hr7GWUuRgMaxp1PwZpHS4WsKFkNFNRNlAD/oxDActUHy47g2Sj41fKKuFdmm3fQ19Pw9CuTy3i4lu3LeYNdEhvTX4a8qRrwA3oB2ZRsw0EnRDYn+sC77MnV7p13tVPuapgHycnGVnMZRD5zKN1RYhS37RaJF64yK4rKVhTyTx4QTiR94LlD6X6d/LaD7clOOIud7GW7yNYDiWSA6Dk/XSbN+t6efzCemUkhQaOcLJ5sGn0/tSZZm0BQSu6rIAojMlwK5e/aGNuCa3ocfJteWU/nZRTnDpgBuS5GUc4p38EjlCG2XLZZdTHSEXJSWVYvSTkh0JZJqxvqfDYsH8OSHkE4PK7XN1Fb3q7b5sGnDD0N1kPCNfYTSz3ob2vR5al/+31/a+T/O+PG342sRqNWVjYcOFWSIQjck5Qd/7odBmxNrlOuMtt/DsbiMq6At6+inIxna4MVbH5JJcbO4aR/GD+q4Jftbj+reiBJ9PbwWBcsRojK1pdiurM32sEpSQz+YrCt4nvycp+XTdRCHGovh1LQvvbSxUdZJhAFaRxgWLxbt58XPWsd3N3ftdnvb/j78XaeY6S+TJt+vn17lPfDr6689RVCDlEVRWaTUwsKOIke3iBHLuoZaULZkyoDax2ojud8MZQGnLg1GyflNRZHOKVEYivcYjzrFPd081UDP5r+sh+CDcf3PRta4R6fCOXMUDy+YIzqTdooj6z/Z9TpNuYNUYwD27/RPrf+hOvQMJCMU4X0G3+T+5Iis06U35n4qwo5vfG+Py0etA0xzEZEEb+ba8JqD3fOhewlWiaHwty6QmuTB2/OEVrssvK3LXn82H+FHPytKAY7Xy6vtlHA/L1COXuEyZjHGczHxqZIwASDjWmJH70jrNOr3ZzC7ubW8ZFXQFBYLgfNS9zCBZxEei3Qradqsg+MjEjAtDpvi9oGNtasJhZKFUtId3cGFBxmtaAwnkuMTI4n/zSGHzGebpSYaM3ht7Lq0aVifrtfpaX3SADPEyesXRphYWodiqWtz1K5el7sQka9tTNGxNncQ6tjeVxrInH89t9PnkxzedR19UpAFXZgCMfqYddgx/A3zQERkCgAyVeO6Og7Ooia01tLNWZ+vwy/4nA2V+wmFwdNUfgCsQ4qjrL8Sv+GUyuQy5zSg7uRSKiFhhKwxcwLzKx18YmR1L/gcvQ7cmTMgYO2/jq/dV1P/7r0agsNzeSyi+AoxPoqu7mq0MN4XLHRpXut4HVqFkiY9NBQqcpqMn8ZPtDtIWZ0Sz0jJdCmOnD686YfrOY+CvbAp+qSldZRgt0R/RCdvR/1QhaLgClyRbvGrKA3DM7Gvy3Ge9yeM2PzYNBA5IXaM0q9DdmlAJImlcKMkO8Pz9QTRQ8pmqrRvWiB/fP2xHjCm03yCTagRqEkb0yFpnlc7YZQoJ9437+19/S4VDrQBEcnj+2f3G2lrGZJcrP4YanIoV5nxTTv10+LpKq1LKNJlqe8nAum5nHVkjNG2lZ+xNI1gvCYfatc93egow4Okidi6MBG+NhPP+A3GVj87Z1Qa8UDU9N1RnXJEXpSl24epwpGwEdPP9lCpp8kxwTbJVvrbcaeHne4biR3DKBkCn2+uRNpVge8KDxvOZXuGGoiwJDDGBaaDrT8sol6Yuxl38aiLZPmPLyad6uKmfff0Xftj+2P7+NePZWTwp6LB7H/a67WpOz1s2k//509t9ddV+/n/9XM7/nJsz78+l90UU8/1JHpQ0vbkuHKuyb8KMoV22QovZLNlio1t3XflpKQQskOdLsCBwZu7wztOTyixWODOPMKeDkzq0/Cp7t9l1/62/Fv7+/h34Z5Mw787fSc4R93xcqV1qOP03gl7JrZTUPn3n0+fq1gO1Vkm/0USSftgZrIqmz/H94ZAztrUfVg0GS2AhSmigHv0Uj+X32Pqq6PgxoyGU21uahpwpLoxBMQ0dlnYbiS+GrjZKYv391P7qQZBU60Lnid+79glGx3BXDdTO92cBKWwsdGpisWBqm3wCXD5VvI8itfU2ma3qUJzdPe+vJpbdG6ti57WOJgmQotVE4bK60D5kxAxzSc8iO1kdSbzi4VOpCKRQ6eCD3nYdDmzNklI8hZbgFFTK/h6jDVYO2ITmPLD887pSQyK80Xrmp8jo1/u0bcukHrQjXX132M4ypTIO5IcRhyfKaPLZcUozKfBCZdSh2lKQOdUWQnBR9xKRI61y0+62BzF9LXJHXFHGXA3E0B1Hsab9O+tDw3+mQlpXhsfmbhGIijag6MWujje3nr9GrkzDFEWCgrfkx2wvqkDt2yT1o1b3a2JM+jOq9Nc/JnhQO8O46dIh8JwJx3koqaI6gSNWfYY2XQTNm6IxZUs/cny2F00fBEliIHVXCJJUuFpKyKwQtSOhcP1zTIYLNeY1817cHCSqCbuMML1U9gV2eRo90m8Y9iTIDF/r3n3OY+lTRcU38HwVIEiRCdZVico01YoILj6mCCtzZmO01zL8FlDtI8bTVQ9UXz19ev7nU4kry9O9KHPBJ+VOxRL73A1guZ6SfljKCY4bCgwwAt1KDKjIdr5k08zHtix+cVWT6RpFxoGW3xA38pkWhg7RZLQuuUV39T3cxBbunp9qOYvrqcm8wo7NugU0wxXc497nAbNB14I0JrgQUIOd15P8PJ+XfNp/1d1wuk+YcQwHG1WZ1nJoxlATJx9os2a1kY2FWYcOpz09ItjJ75/8wIpjMFDgahZ9CCe6nhLBwDuA5EcBj+dWdu0dtgc1Amhv6bjA5NLHIJkZVAx3sshRjgHDxeay3bR1EnvZWzC89C2cmwS/8tFBNyP15bhzdzKiiO1OqpxEFbFBDdGo0w0WVy8bgpvz/1FidMqhF6E4Szcxal4dsOmE7njLBMwmo6R1/fHwx+1s3+ciiP66/nXMgJoRxVypvcpXDzsKCtk9rsZZQIqBci5cLpOauU3g+QqFiayiyng4qju1s7tvA4pEWy/1gnay6YdFEyTe8G//f78vTimP7381NbPDttaXLS46eBlljxc2ue7z3Kl2Ww37X373k63hWEJ62LBvy+qM8XEmAQ/zAXiwINJgLErRRgQorYpqzelJsKpAzawrVZ4eCoWuNpM1f1lEk8n/XSu0CgwRorCp9Wn9rx8VmEQRr5/q+56XRnOeZgCUwjrBgND03xuOl1k8xJhfKihoEyIcSoyzKQHlKM1g1cczdtFphWsPwWDYRqB6uswKZJAHda7NeWLVWFwhMmBMRp2CX2FNacAMLpd84tlQjKt2t3+rtQ/x/p3t8vS0fM8aA0uaz1AQIfjKm3+ZEzytrXj/VHmJrgdCRohgjbaaws7BA+xERxNOYJFYAaHnisPSjIMlZMTwhBku85DVz7O8Na+jF8qHhZM9VwSVRWs88yaz8derh2nJw0+ETkAI5AZZdNqcUIX78WNjgP+eSt6lyI0PMOAcRHIhI3jj4s/6j38y+JftJY5HciS8VsXSMDdPrU09qUPGkYfIzuOZP5SHFMkFTIfUTc81AIeFHb/DPLsTqLvl2laogLMuRKfyyFMCbiKAWYKN7tIj6N1mBhHfFE+DsWoT3fFzsINEkiOQsVHh24rNttt0pllQbMY+tTQ09EecuXXF05nWv98dF6jC8gcesi0Pu8ppOV0DcFgc02Cg4oAbCK63F8QCLnIx5pKkZw+dkWixcLTMXO108aG24yyVn4TF5EuTB0pUrpN2dgp5MtmvPMpJl8To1uRrG2IKxyQa2H9tvK099jUF5MhnL9gpD2AjQJvfFpL0N0FG7PYAo6HkJTTsHKuu+6jKULhnnYeHkKBuA/R1Rsjl0rFhXEOV+RU0gs+GPdYeCebpNaOfRD7Ogb35D4ywHQYnPa9KJFm60BfC6XJAwZhw9NSgweKQSR0UnxZ868ukSWztF0gzwiejNZth1MZdVlUV4EGgrPq2iXOdbra68VlP1JewTaoiYhntimzTmrmLEat1dVmGUih4/czFmy8MxdwjTekko84/8w3V5H1ZxEvmV/0iGZjlXombQgjhR50uPHuOmz6lgXyP+//s1LaKErHZTm5sG4xmrUuWU7ddoDW1PdUjjtkcyhcx1MpdjDwJ7h4Ijazw8KNYyEgA0NFYiBauzwRrpiFIvA/2W064ng/NBrg4GNHXOX5oK6C1/Jx+1E6bRns0kmdB3U84CEi0i4rRfFmfVOWU3AE6eBOdpSerq9LBgWXm86N0/cci4OpjpqhhM11tch8BI9mNMfWwBAqbMSJ+iFHxvd8fu54DTc2VlDxAsxihYLD646d28vxpTS6x4N2WLnZ0K3YxEHY7Hkl9RN4q6zzzyfxw35e/9zGm7H9y0//0rb/um3bP27b5qeNimY/ii+O7fP4WV2BTI83Q3v8/lFYH3SW/W7f9s+FyYLnMVnm+veHFu4ezjocszAK4Zi+q8AlFYGds0ZwZ4IUvKrjYbfH175gA4VzSQm1vo67XqTAvjXRPG16cZIEMRrsafWVl6bs91BZjevS+p/XOjKSkaTjIfdgWabCOiQAzXoDjwKLwgjmLcPctpWDFeuASTp4ImoqrRXSJPHG3BYBXA/3NPNANMVHQgegBmSKJnGDn/G9v5++V8cEVieXI/ihsCjGp8Iz71d6Roa7itVVQuWx7jGfT6enWkOkalpDnwEqngBSrZ1u+8a1IAzNG62GmXTvmytNTLxWO2fpHrqciOpk1yS5E/l+PZwf9D5Ysx27t9JHYXfg71M1Fdx3mVe48Gtqjscongobm+vuq5FiM2WTF8sFCzt7PGhOMd5K0ELTIPcxnzC+eYHUC+Im2kY9HolawKZvxJa/40V2WxHI67ZaU8Nz0UHSTfTpmknGUmZYDqWHxPrP7MYqNBiunicVJy5MOHAcKWRmYQF8MKSEW8XFm5+lbmdZi53jioo1dlLYydsAIr6VXfpEV+jdVItceV82czVm2ZUD6Jqrql2zgXn/zqgRvwuqSEw9IZOj9SWU7FT0pp7lElWJPfRyZM4UMQqdHi/hCWpggIRViWDsIVYmooebQ3u7fWtP26d2u7lVwQAEn2t9tfgdUZvvpQLI/Gi5Kmnj6ordytV7OambYSPpTkg+QoswDjfy6E7CZPjfTiPjlJ4uMAMu4ccnE5sxQIGiMl27r0z21bexqXLEZtMyXhlZnYYL6VCtKRZ+ZU25YjagHGX44OYmMBHXQEYRi60mp8p5Rh3GkXSauu4+uuBwdvN+QiGj8OUEAn5NQUlcKr8nPzyNhDqwU3VQgYPSIQJ70CjERSsm0jlSC8IyTzTNCa9XBdpdZ+7zwukBPezLWGt3IneQnrBwc0ajYsqalEwYQntYJ+SuG8eMy1DWbZ611JI5PiqfhOVQm62bI0Ek/pmxP9P3MyMgaarpcnUcj1rrWxZIAs9lULGvC8jRWpzGxU4PHJWaF6+p3NIFMsUJw9tzWZXx4p7HmjLqpo/FS0zBYcE/7h+7Q3ViXCVS50gF5oX6wu09+m1+wQtUN+Pine4jhOSe3YJ7DPjm9qUIvrzmYdU+rD6ouKEtp+CCbzHppqPTw3subiILOfQSHXMgcxtHovBzs8AU6bIw/tXx3zK0EOG/nL9U/ker/A+Bz2hrF/dlRTaONfSiOB+/pihk4KL3AfF3UYTYDn6bFKzOEf9LA+vZwLTgQQbYhd15vf/w3n79+Gv7Xx//V3t9eG2fl5+Fbf2p/Uk7Pv9fNnWHijLl4Q2lCg13JHAv04sGPEyhee9MTcErsfcSFEPkqHNgNLg6mT4yuWvnE8qP7auSeZKiqusA79NUqNBuQvzNsVXjGboYuuSyGKpBnnOIxAVdntvb5q1wtnaj6xzPwXD41JUSlLVZa9PQxmJbLTlTj61waYLaTveFtZ83nZxNN4inKa+DuFF5TZp3yy8eVk4kdG+xD1Q41WWt6/Fd+064fTiKknouTjKz0KDRp4qn4akKPZg1Qo5jeUZ+2n0SYZ1fYJJydacjnCVi8ro0SJ3KsUfYPFihNf6XVR1xQ0bXETiZORQmjKjt5xkxgNR0GB0zaXfxl/EG+dzDutgqi3INF0QFrxG3n0txe3G3Fx9yWywUadR5DTbFlkky2TPHZW0GqO/wewQfna4u7TxfrMkM/QSFON/7mxfI2/1tr8xasDhqeDosLCcdoc041W146sgLV6dDrnMbRX3gomgxmcYQ/lRIu+nWZHm1r+Km3OXjQsfJ5E2ISgDdxsa1UmAQvmT9rh5GiKFwZrmxUHnCtZw5h0ACDvYYAneCmzJlTyDQV9ikTgCzJDk4WK06ibkPoo7KQ4HmvYM0vpegdHURYF2LmrxScEMKTtfRp/72UIweVfier1ECtGSggROSVSQxi2CIhpgpeE57bO30eJJ7uLJ2bCvFZsFDokCvy7rd7+/b4VBDNwoV1z1a5hCZ1eVhOkw3crSCxYMb1ao9Y9zqetTFoZVGBWIajzromX44aiVhX8k4nkXg9ll3+HfuYvIAizPHpsnMC/moMeN0dJnUpruTg8+qNjxd+/WoYhgzkszMtOb5WuPfyiMyd5cP3T+cvGOIwuAHIxZ3yhTaufuT2A34FY6VPS8H/fOdTJR1rX29ROU6rdVZJnf9ZfFSeLGNqWVtdt63z9NnnYYYdmoTQ845++wsgfhquovT9ffzcTHPM5zgcCxVZME354M1qG+X2vTjQDXnDwdPFl7Ms+YBV7Tm4b5mU0/OjAQLsxkDzwW1QbnmntLrOD0Va4T3k8m+3IQW+742JEGE5/qtC+QPrz/oh7Fbado20ha1dt6UBVSUKcIVYuaQgklgNwRaD050UTE24FtMowZAIp0P+0qGu9zpuAJmoc7rstIFf5qetBN+OX7p4CxTK0VU2q8ODqUcs50SSFcJZoNrjULvV2+1mLGDuozlPGwHZx3nwDPbXn8Gv0rTU98Y/oyFydRcD6eHLrxWHmTdoLZQNyAzhaECie6Wd7rpTNNYrOBBoSHJIp/3Oj1oAhqz3nSwotVMY7cp03GJ63euY87j8FiJdqub6k7HL3VjMeJtm7qG0EEoeuNJ0/zN3aZtH7YqkjANcO05fjy2z/ef1VHQIVMUKZC8H37nNfzx5Y9t9bJqvxx/0fWMxZfidym2+BDS+b8XTr3cV1GhA1UH6U5cGubVm+g4dKCsl3g3RjctRoPVR9o0gStMitcRnQgEd44pMskVp3ALY6YzwW7flKdI9hIZoE2MoRY+pGYE6NhsbFzFD+xxXZtYpsViS5D3vjThGb3w+KqfmRgNsSmw1MNct63VQQnzfXsu7fVUnao6U0wn+Fwtpbfe3G/a+nbdftj/0L4/fq/rCDvkZVVr+OH4oNfzefis74VxjDC4feHq4R+iHIvjejaffHQ56OJaIKPNV+EdK2JZ95b3cF7rOt6dai1rkDadahhFRAMzgEulIornCYPEn5LdelZAwZW9nhknKp0UL+ChCCZohGa5SchexRo5TOX2tKtMI8Uao8NGcjrdilYXWk8oWZJAWnXD94dTHaejb1ogo3KRNZcF8/Kb40gIBmfXmEyoor/Mjs0FS+ueCZ1InNN1SgXFJXnAMjCwKF0Gsa0KXSg2ySnmJqn9t/SJokQhQsSujg+XG2NYfTq9WLSHxUOXJoYP2W+QIzejJJD6YyxtOIsZcrUmwQDcJq0LFyPf+DKK3iOHkUN1hLL252iGJRwBYzD/PUCQ6QaFF+t6ZJcePkEUF73FOdeZzIG5xp2E7yGrK4rwcFfTQ3s1aqBmn70MduZ4bhatpvzG1yhwUETSHIcvKbdrqCk3x3a+PZdOm80xGM+yuHDdUONURqr8Sqh8cKZko9PliwsJxuQJeKyyQvsIETr4VlzHJZu0O5AwUmSEi2V3RxfZnNwW1pUogMWX7Xg4HS42YWNdOw21sMSCN8lmYjhG9K+xuIkSQVx23UsxWvQobqKJD9bZJY3LwugUL2xXpeDNgo088ZUay7gbR16uKZsQhUkuVWCey5kUb3GSjRi/6CChZHGc5H7JWJdkwstrx7AFxfiUUXDc15+hFHUs0UKQyf8t7N7dfExFQpoPbUxdrAexKVCdF0kDNO6rsfL60lplA+OZtPExr18Ed88qGDpOO2O2SDbPZSwcCphOfwxP243giEzjM9zUs4xz18rdMKje7xH7Gi86gfEUBSZygPmjiZcGfKnw0fyG0hApoToATC5MxNUUmQsDUA+HytnAOKTwsDF905+f1hVsdKmJbeIbdTy2tDB2auQT07ElfjN4UKR5FKJkQat+MzgxFy7u3zoE2+24S7rYqbzTY7Glh4qp+ugiij74cqPv/8P0Q1EWMhRhguaujxtHRxUcJKTydLLgtfKmZOaBQojvcxk7jUFmqQwBmIRPTRiXIjRXj3WMoovniHk86rqFixinbxaoYnVNmdD007jnsB3a5daStlkQE8l3FEjyaeCN4hV5ebE4gK5hURCH+I8Q8Pdj27xv2vrNw4vFticOymyBuAfiMVZnFQM9mMca2NCRBH+mI6Sz5r7Fqqx7CWLpZYs7Ch34FhPsh/FBmmxNy1EaTdfExCQ64pDEOgPzFaYFLmZJHP+93VaOO+ucY1xCpPgdWEiQyGnVPTjFm3WeNF1lcms6FABkT2EAI3yu5kAmsJym8DDgBVHEOPmsauDFLzZJniNNyvEQXZUmG19Evi1qHZoG7g+bGEdqBYS1L72bS7yrjpzjsvKASPZE/sd1TzyqydmBkPrgdFHPmvjEzAigjE1jxU2YMkWRRjGXqbU6Z+vqUyC5X/IcxU0qeU1ABjFRpiM1yZvnXs3KwfQxm5OEssTP4fvwPjAroWF58GciNBRPAY2NnwnswS1lILuqtf/NC2SyHnq3yO7o1jqcLL04Lg4KCYoKzuAL/w4vy56J+V6yqbcRgoodxYHd2eqLmJjq5zsPI6qcGNnG0y6OLlUa7ypvl87LRhcBnWWcEF6ed2yRkimkpAYw7Vt83dnKvp5CYpVE3Hkir9KDH5kVRwV4ZnRfFA1HYsoVe7FW5/ov7V903djpM81WhIBNLSKfDG9PhdTFWQA9EZbJSHHXlS4vnDYB+GenArp7Bv9D6hb8TtjYqnAlmWr4GsgQpA1lAuK0Rq7jP27+0V5uXtqXmy+yWeOhV2dMITos2vp1LfcagtDAjVWgseZHnnZ3ka9kV56MJQvNQxEna2GWSEYnk4DPlV+e6x1/zURTRKrKv+WILLiFY6L12dFM6whNZK2n7BqYWUYahoROEpj4LsswRUmOhHbhL+DPzuLgvjMAZD1eFupgwncUaXlVBiMUDg0gGVwSUHa8coe1rpZl6NxPOVidvdeQ6fP7Z0noKEZcF47MOrrCv8W9nHWF4azpYDw78W/UM5MkThgbRPZuHQXBUR6IiyEZz8WpoA2Z7q422iwh15895JQemusN5e1spxzWKierpe0CgaxOlSYYHnSMOCID1vey21Mm+HpubFiSoSUwWk6gIa0HCugZRkJJqnYIgolk13LhRK1QSLUOiEdeOnTs98ikUcPjAhn3cD7goel4SeaxF6zwm7GyJegKlVduT0Q5aNNhzo4KmUjytdwAeRc6BS1gci+ulqvlKJqixS6i1MXFfRn5DjWJ5PgREDexBDlmZEiRAs+HYi8p9JYAqtgDJeA3h2syuTPHCiaPOJ8uSDIvIg5YlExy4xDEQnH3yTFYTurjRxVIMFUGVuz44r9BrbDlV1d0eKfnvWWIBVYbG6fYz3Gc0hGaYs3J/1j28poWG6+FcxjDXwobDijwH9XBtk0VU7iFHCXbJB5aSPBsZn+5/Ut7vX9tn24/aVgjX83J9JH3Rdt+2bbV06ptXyt9UkOadXHXLg+Xdn4oXWzHHOGNGlOMIEDXCkemo2kzp0qI1GDDU2AN3eyKpMEf5HkUQoMnxWM9HIkIoMBp2n1xep/pVnKRMa0q1CGpUdYHnQ6AE+ROutj1oSFUIMVE2LRCQ8G2VIHUGjsVXU0OR+tje7t/q3vChrxfKAtea+/sdbVaFW/P35O1I3neYa+vZSOC3Mx10RF6rEFkYly5lkxmxTI4OxRtZjQbL0fgk/12308NofHwbzS591CR4RD3S8YjC0di+Fgr31IouEzZGQwCjwAzUUWgvB6WUrfoecII2JuHIKRpVV098Nisycn3EL0OpcullC6agPMMnM2vdEcfmKRnQpkkL/y4DcUrDlGcUytGH2j9b/Z6T7EO/OYFUlIxfnchSRXu/onGXDRlNc7TJ9zpYODelQykK21EMvVRg4XR5YLm8GUyGBcYYaC4sriABr8R3WYxCqyOz6CcXJyKF2Z9Fk8cVIKDyE6sTcV7s1RPhRisCuskjhRWULBQGaBwjJVR7FS8zkAEHSi25jwkZ47W7NQQf9lgkBwixZJUy58x1p37L0a1owIJBrZYdidwTS4ddhVHmRCPBR1gdZa0P5uncnRhseRYz8OzvKvJNl2ejFqP7zq2aiJ/2ZSB6+69vb29tafXJ9mc7Z/2+l4QvhEDyO1nXziyfj6nAIr48qKiw0AvemQdeyMrdZ6N+JX4Xxp/ZCHL7MHkbnUCxFJ4yJcsZPFRoZ35OLs51mAr4VYMxeL+k81Wvov7KqDiUlr1pVUH2Zr1RAFc1tFWWwgdrXFoKYosFcwwKdxbngGuLUsdiEAWYqhQmDATM8DgY1V+lmyakiYyGBIHqbVpXzAJUknFsi6PKmoM0ITNH6dqSGw0HIcobS7Yn11uCxcEe7OsU8YgFH1n7ghScQerDo/0SZqN7UoFktc12cg2ZsWdHxkWx+La0QEZiH7lgdd8Ip3/lvInnOSZtl7EcXs2irhvypcUMOzzVu8EBujZRw7wygBGcsRL5YrHSk0ZTh6+xj2py3e/ZYHsu+zxatYQUXqE/Tq+OMeYDkI3DxyDF2tzilBQ+Aj2EbVHxvGZToaqk3+n9pg3uXKEZPKLW7lCc4PpfmLGm2NpOjE+uqGCaQWR4sXIgAKZBR/LNNy6oVxIcI/rCWHm004PqqJveWAXlz5xjj9jeIvSlrY6hnH8x31FoPW0V5ek920cM0OVRNdmo9COjZB/OFcedKIvcUrBUYnkONOtspBZ1D2VMcYcp3Jml9s13TJdAfTA27GoP5uFjnJ0kxlgQDWRZ+BupyLJJPb0elIiJCYMGL+Ou7Gm14eCU2JZpk6Xo/jqLH/QyBDBKWWAcdh2FYmGAR7cqGvAu5M8Hm/46jKJPaF7Z4DWrgFr6aRZc2EVhMqTySWbYIYrcmoicGvhAknhiGroWAasPetlXZN4PoUJw7zgoSbSg5/P0MXBWeoMcZuhk0LpYltAipngAYY2bFTyo1gKCoqMUUd3UJPjTCtNLtG6CqQSIXnc4BM7a6XLcQ2ZSKNMSNdQkIM6PCbx1C0cx+2WLg4ta50iyVHYzA8KJBuCnP6nWrc9gngG+XQhiAn9bHgZ0qV7jyv7VwWS/G5HsIg7yannWEW7Q1GkpS4qHVSqqlZ52bqfl6u7kmJalofyS3WxhHlCDYhRNIwYbUA0GAz3lm4ivnWBVEfIEdrSKOEQ4A4oJsZJGIcmdIeaBosPxWDFsh6RzDlGGq+R2H66LWzJEzTAWeGAtDk+mmra6oxeMLEUVh46tdXJs8hxjdgGLtDlXNKvc5Fqo8JJdjUdoS4+WBqxA81HVFst6SYSRjQVyRWKBzIl7VgQyRd1PI7WXGL76V7v6U+XP2nx8zr0IGM20FYa7qj7sDOJlA7QdkxXSFpfsBa+jp+tibjjHOgExP86FS4UqZbsnGYJb4msFRePCSpdEeYQ242GMeioRak5jPWLCTzk882lgq1swaX7sTu189u5jX8f2+qXVbv5cqPiSJHka9gMRQgey3hCZsnQS8BzKRDHM24ndZ84ep0W1Wmea1qvvCAT3DUcm2mhuwY/XEt4myA+dHcM3HzcE5XGWS7QrOj2/tfifwm++DIVMT+bYwKmJIGDH+pp9FcnjHPdM+R78BIZ6okZQad0LOFDjFvUzdjQmM2BNf5weNB9eDw86qFM5hKvTyer9SQ8+fvF9/3IiR2a9nGfwHAC4hoylVdhQpgVWW9goZmSBgOPnL7El1yWV4AaKNgg7x5mxi9gdDQwyhY2Uyb/bzWJ17BmKkhA0Q6HmTv40NrzuqzUkqHUB2xx6nfOTyKNdZKI+5fx3uSQI/IQ9c7kdYoa14nrw7+l1rBhC5tkM8Niz2wZYDr5LPCage/er34MoRvK8PdQOG73Jv3mBdLypIjuM+2KpEwTXV+oHLV1UUzglWIBtxTyM2izMfp0qDjYA/+GghNsSCqGYdUBYBYIx9rYTmlvGo6dWJ2Cpq5wKmUKhZoHJfQEvY/oeadyHZFskeM9bbqn78FZlabI67TiQUXUnn9xMudBZsdW1wCf8fIgBQQPYTrLmkFcbdoCLQQvkVEo/DnWlsH6uAUl1RH6kiggpDFib3auAVaygNVNzCzqheMmSsBqBPBAcrLpEiFAy50GC638cgGWxBOs6OAj+fOpTW9TGz4Pbfll2Tavmza+1bSazUHSOAYr47bgDwrC6XgNOoOutbc08lCbmUyBp6W0vzGXEEsCCak3h14gZxLB0JMke4MBgGs7nxDZh3tdpz8s/qDODAyV7yOczQqcnDbEGADOmH4D2sd6zwRvYc/nMl4WROIJthxumBRD4LarOJurivelfEfV4dqZKp6VOhkgjVyddJp4GB6uhrvAh97chGWey4wjShNBFzO7tTQF4oQibyWREMiIoSMFY+WkTnfM2pTMEYxsLya8Gi7ZxKI/85fyFZVYg6EhGP1YnR6+kWIVwLG0EioRF92sxIMc3VcoQOD/NnXRNUE3negKm5zoOQLWMR86Vmrh/8rzkcGgUxGFSS8PFR7Ifn6cFVDqlV33Ra6HvjX+TgUSUq9wP4T2PoKK1BwX9lmoVCasSKNwhsmAhOo+xzL4SL6E2mte/MzBhjcfLpvwqdMVn4rYPt1FujKww77gL01FTDSKWlWVPEh8qonGdHHxEVQHdnaqnSkFvF6KJ4v7l/aLzAfoSijqItAOa1FL6F4oojxAOu7ZDm6uBgnPMscPmYkOu5q+Lcs7U9I7H80oUhQBFsp3i+8qprNN3WhYUaAUWYc+hV2gotBWBfZDxHZQFQD8/eq+bddbBcNzjBTNBez0bWz7z5YNkjoIPYkBBN3xL2Mbn8f20//3p3b6dGqPf3tUR8m0NS4uLL7tpo52dHlsdsJqh7q22HSpmB42ZZHHUdFH0yiysrnpgWGTxDzZOmRwxd59OA88kRjyTlyWGSzH0dBHKEBc54dd4YDgeTp2jaUMwlgi4W/qJGnIPCyi2MtWD9OHQ6mt9DP2J3V6mshiugE/kKC2ValwGFpy/xmaiS/Yargmo+Dzqn08f1QnGeECcR06BSVfhl8L69w5cV/OElKIjQFeOsOZYzSdeALWko7Ut62OyTfr8vZ8EzVBv8dHUZxWCrqUsCWciFuXMEWGkZc6QeV6J3VRBGyGUEQ4jO+929ZJApjBEtac7pL2GfNaqbs8weZ54NnJAE5FWGP+pk2JD+69YIDzqoLBpr2aFJ5bmdt4YKfhnNVG3VMW45fzu+6hnKKAcn6PKXYA7h5PwH2ybVOXFKVwclzwQpNJp4ndLKzEFXTjXbsT66LEhchBSvFmlETKR/T+QFl6F18+fb27jlycUFTmkjLZNDnKQZIsTC6gsUAPcFxtOjgpOxhiWC4FNocjsaI+F0X4FkF5uFHnIrUB+nF/BotM8YrETbilifchd8tKbFX44tzyifccJQY7K11RRPeidnBssPHBvEAKuzW2m+6Gh4AH9XF8bB+XHwuot8adxXt6O9UgwJI0HjINOz4PbfgytJt/3LTL50u7ebrRgINiEFhCpO7lTU/Ki4GHjs5MWqetdvGb/Y0KpAYXvn/hDQpv/a1l3eAM7mmrrkrHWMLkSQD0p64lGPJ6kt9h8PB0/vxbjqlRPtFtBF9OrIXgDYYn7lAhnLMxCUtlIBQpHIR2JJPWZPfUS9PF1GHxicrEXpyJBZBxK5EfU52GpD/mIeeUAsbMGveAj40rcQQynkbP7Sl9t/KyeXMy4tWF0TluluUvelcuWuDEnAaUXW4oATw4NKe49PNvRYNjgx/KOCImD538bQxSXbCd3bWGTvX1Em74GJ9pezDlYMWZDXSpLT6mjpnQrMKphjGZiMF1TC9yjJfBBs+WG5I8X90ezUoaahX3nxqT1/TNC6SC5D1B0gJ5r6McuEN3PMatG52vpUvsOrDgpZoYRnWUmTbRKalQIMJ3pygSJ202IH+sqijEB+MZXCTnzYSnGNC2G2e4y4o7Smgloa6wMwvPMi3kb8Pf6ngyFnUkdBvuHd0Fww+BvPbh4yUxJeRGiaC82LSfhp+El3C05sbr6J3puqfXimRtJWek0OX4HC1tbmp3e/HRGHyGTozOVMMhqBAkup3ey6L+Ug9NTz70RhDrKQWqnU6yIws4zrH0dn0rQ4nhw6DI193trj29P+n7Ds81jMu9WP/nuo0vY9v8ZdMWr4t2/3ZfawBwfTxKAkcxZRKuwQ5dE+A/uOqubM3gSMKNBCtVwLzXiKa6SFK3VVyAKJQKOL3WQ7YqIj2ha+qSsDezLI37yHBB2CfdJkf906pHJsjyjet+vq14AVgNi9buNyUZVO4P64lNcLVo9w/3+p3iAua2fdsWzPC5VRzv+th2hxrOvR5fhRHqNAR1ZlvfmzhkBWEdStMMfosHKR26MMNddUhSJmFXx/pisEKE6flO6whLMSz+UvRkvAH9xZBOjvLqeimQhyrWZARpQ4PwDzbNBrcbK2gPXwjLLWW24uOqJuSLKqhqNBhiOGu9cY/gS+KncNrrewrvPB/b4e0g3FXDH6ukVJQciaEMHbMnxIfFLhCz7EsljgYHFlEehQ3x0JuKP2G9SzfddrWBWYYqGpYzwbt3J65Xu6K7cUKAHqU4Ca7TcG6vy9eyMMTSzpLb38UPUrpdnmEKIkX54AtJwbRNfaJOBfCHgsH/NwaZSbEwKWNxKQTawdZuy4+zXYt8ExsYxLA2YGtAXz5iQKF4BibhGFc4iVD4JkRq2vBFOYiI2b/YK9Mkx0phk6YFiAYyM/6UptMDqsQ6UPAoNnAvWdgy3W2DpFLKyri8XqV+aLHRF+fTxyrF2iKn86foKGC3dEHGlyju6jgwAzhZ6zq563U3ET1rt8w3BSsO0SLL4/oM1hha0dIP0/qi6SqyLhbY+vNanUfyWMafxza+jm35vBRoTweYbkCcTK4pA5SVBQIUnWW5tvDalQi4KxoLC5RNJZhwrLL0YOIcP9XfcW+kwuL7wSiY1mXEAQHeDUCs21SIHT+goR+yQUjhqJwcgaGprH+mNNsxicgnxqrbKpSLbclWcQXX5B8ZKmRpThrngkY0LT1fvShjGKJkTh5OuylRHHi9FDkVLxI86ZRgYkzlYxh+YTKV4tGY05kSKD30SoxuBAzpUjtJnQk/RW2wpPI4szAzJqzGBAwcjiyPseNENMxj4zHndATTtwlNon7jfSqIwaFbgSZixCzM0So5fV9+th3w1f37M0o1dbDmJcvQBY1/4BQsCLFB49k01U0T/3SznDZhCMDIaMYorT/vXSmvH8aBVW2/Cw8y6XY8VFIZcCNwEWfqlZQ1/m5jojTBS5N5bzYsxRiBRSufw2MT9qVjOdI6uJHIgQLuEgx+9PDjUh1X6AniFYKFsFvZey7mBCxQXfzLpCOS6C7TRd2Wjjsums+nZ2E2/zn8Z3ELx9rhAM2TFJfJmKarXlTCFr0z3i/v5SOpjulydcFO5knUAAkAy2Q2izyFF6xLp41TU1GVpJKj1HCWIQHDISaxfI+YuRJRys8jBJ6bTvcazTH/FuyPhYSiQ4qZ5aBpLAWAnRo1zHg/tuFhKNUHC/p5UUOUnwcVwvAUVz+v9N/szCrC26JsxNBYudpw0E7v2u113yg44LOnhz4k0WBls1JBhmiuY2qykY81lf5w/qCNRO9lXIh2IswK3PJUrjm6V8t1+279Xftx86MKroj0jpN9Xb3WqYSsm2Fqd293eq28Pj7ud9VBgkGqA7OcDk6gCuSmfCZR5Qj3Pox9GJB4W6UgDruOe+lY6/Uolx+m2bahS8cZI+mkU4rlcXoXCVtHQNywwZNR3fAa7H61ei2bNbnhc91XvpZkQSer3aRpafD3y2oy3puoZx/fP1Zzs1xoPSkllICvXTkEhSyf9MdYADZoVpuCk+jONPwD02bwCpY3LZRTpGeXSmIzisSUdHoP98Unspx0skHNsfl55g3/n81VeKkjRaS9Hkvto5waLPGMi8Y3NIT+uIcpdpohcvxXkw/1zQtkrJKsrxaofr5yk7Q7uRPI9Eh0Rk8E828FqFNs7dEXI9hOCE0QVazIKFZt/RVpWqoVRylEThUHkaSkMaDoYnnvfPNoA4YIfI086OBe0WkhC/Q0Laa42clVsOIFGLt9A9F6DY4jjeBeQydnn3RcLTpRv5YUTC0a74a60Z5qptAFiuDvKKC8TwHyi0sNHHAOupS+W0R7uJ3gYWSqkOnihSvNNeoLYhJm0051Akjsd3Uk48HiKBj8TZHh0OBsNNpFAwwJfB3UmeC0woa4L1wpRHvpiGd2V7pfTGd5iLIO3GGoEMpkqDpJuUibHhbDXD0ky40cjDD4jSwx0b8JiQo/V9Sq2QBOBHkI++d7/QyceHLdw5qIlI+PdF66z2Y66KGjU8XfETML+I1QkOw6rmI7+f1axZN41HQ2wby7/Zllsz1OFSfyfJpbHB9ObR4UMZ8Uuuchnw5+03pCRngyrGSrMX1tTGWdSKjry7NtQwvFwDabn4yl3lKB8XUNNp9hi56T2VFbNcNzgtD4fhs5ks9u8hwj4XSGmTN4sBTHMNafTn10oDx/szlIfnFtfhsT0c2Yfw+i+O7nOk4Ea5GRJm/enaVUJUyQtOadh+2jn3I9pqJ1cOMSuN4HCwbsISHrQu5rB6bLoKtQtwomOZ4q+3jz3m+mnM7BVvCDNL2H908hEb7BjQ0D3zeUm0HEZwpJuli+T3iJ/BwUBYS/x96N3Z6dXmoZjh9MKw+vmmx3Lp+PnUq4WxUYLdyGqTV4IbvwsQYhbDCikuAXiUJkc5Lqg08m5cACOkJChzkX5UidMB0Ivo7jsj2uH0Vpgcwt27ZWKooceZGXaYfn+IoyZtwWJejt0i6faiNDHsgDDa+Rbun96V2vEa4nU34m1glni3KEQgX9Re97aprG8skRHdstXpvIzQwDVmXywDpIANqX9ZfS8R/sXnQobqxoYhQGijCvG/aIM6+BW+CZYkbyYf2h3W3udI1ZH9yXhHoBcbD5CZuD/H8oP0pxNi9j+7fLv4mT+t9P/12byP9c/k/Rtr5cyiou4WbwRrVxq/2xWMKnBzphcX85KkNAvy+9tSzuwNvuCqpRd0bEwecipANNCbcdX4Q9M/jLYIiOSRZ7x1LrBBOngxSkxYkYl/JTbT46oY1XXwG66ggptLlxwmM4OEud7H4J7uIy3OysArjHuMwjz1wUFCAPg/FqthIzYe4nm1NwXHmvggNeylAlnaD4pnijLoscLkycSbQHpK/n16KlGToQVxQKkY2Y1Xgwb3DDAywhvHSYeoiXoKCo2CxBDsUoWm2uA5hkj/H4lgUSsDm7kHYZboK7vVgqybACHtvM9DJT6+CVSeTT7mrOWS68sBbLmkShoAiZA5WfJU9De1FGIK8JpDHJ/ErHJfoO5r7WOcfYM9wrHf3ANTycyesO7YBiF4JyHJ+zq8uQE2do8zlj6CpDzqF1+kKoRTE1VeSERfaRamqqTjZ2u3a2/H/Z7kO3sQ49yp9uWeaIixCcE12b7paF2TepDJsA5w9H+eox+ZVPI5pzuI3HUX8utQ04HgUUis7Jlm5gSAbbs+lEuiesDnhlX4MEGSHTRePs5M0wm6NycSiQPh4pj4bjEZsor3ssWzQVKr+/KG2Cc4riYvxOWFp0uURv4PiS6Aa7e/fgsktJKCmSfK0iQSFY+6iaaInI4dJRhvzcMWQoPhyH0fOvbIm3LNMHqVTomgdj9slnt7MN1C4ZYVwO3SIuE+J4M+qac11PLu7upMPn7F2ZM1tiHBE8MBBGDCy6fNf3jPUQfXo+wmHMkOvM3ABOrulFUUh1w+lgzp7CxxhGptM+CfbTgyXGiUPIsxiBg2qENeaBivS6DcOElN6ZNHTnMev260rHGVZNulE+eM88z7+Lm8/+pQqFvBwpGNsCXiVHckvPLqcb5puUNx6ZlfhMjPsPNR3VNXHoPcWKCWFwFy4c2BvFj0KVyTOTRITnyWOJoF1k7NkF0SRtuJQkzKaZoscAmjssSQoUoibtOambYRWHXL9ZGKdJHRqcOvBNMBi17OdL+8fuH/rZ2tFdaHUjbAwsLtkwtu1qW3jc8qEKOlrr06nkira7SmA975kCqSnped8+nj6Wm4vDjNgcZL4xLvUe6Xy4dnSWogQRlo5CaPGuYsVro8iCraZwyqB4VW5DSA6Jm5X6BWbC8dym19L78hpkO3d41oIF+1Hmio+EbAyyuAPXITb1cFNxu+i2iYwdd1+5sSuywEMlXp+KPQWah57Bz7RoP04/FoS/Wgvr3H9XPE49HG+OCT4d2pe3L71IZViXDgUTEKmYWKtTHan1oBI16+xwYYitrr86Rqggbzt1aWB44Kg4qOtIvWaCUhuysPVTqTu4H/c3V14pXTgdbj9hYOhMqD1UHfwiOT6OC5kF/3L3Sx++KcaCrJfjRV2vnn+05YdzpYHyZ5i9QKj3RqFNnOK1mdrpu9Jcq2vKUJDCsylsXq5SeS5OZQ6jrBze87DrHEu5Dm2q4CtLaFEbomAq53d3s5fk+LBBjyadW3AgOs6pco+kWbcZhahPU7l6d7u1WApGDmtaXDDDbMKRN2tToCAS5rdyqiczBEdQZPouyh30sP1Wf7692fbC/rt0kJ1vlDCe0zVzJjy/dIrpHBMrIFzP4T3zh0H4U7AG67jFiXOFF0Zm8X8Xm2e385QrGGQkRPNdpMuKHG0ZInLMU6/qZ4cYGbPS4nIQOZNKua7glMLx0J89DhWolemqOWNypPa0LZhQpFYUSRGzfYSY0zhYNMFF6XopOpLqcb1nriUh4XcnoUUd17M55MHshH7wqmTRpItIxOzhXMYVBvf1/4Ez3MHrWMcahQfI0dLdavTzerBgBvBa6eTs+D0PL+s8UJ8ksoDF9fR9CzapIsyRicn+WF6IGggiZUXKh8yMh46ifL528rnXUiqBT6E8AS91J8hHrO0UvYACBrs5K220QfF5NmcWzNF8Rz0hxtfUpbi7S6HS4METVsEhxH3wwDu2I7BL8GY+YpwhtQc499k/h8LowtPv1SyXPRtwvk9MkEXsx0w3UQg+3mYti3TvALtIU1OQknGUo+g8ynbhbrJ7LQzmrdpfIKbRwlPXHrgJoqwOVd+Pa5eoX3d5qQu//cipJ1PmWCvm90SgdLzStokdXzSfUywVY77qts1E0EmK//49eJAfNh90Q8FplH98qtAqgbTART76aOFzwXzBcyQUYfNsB2+OU5aX9YfGYD83h2krH3GpljTbrbeOI/trwqGO5faZEx5j4mzcYtK9vWwql0NsfdxkfERTAYOTxrGd54fEQxQ6eCleju3l8FIDDP7cYG9s4SkMch+x67e0uqTcjYUR0Q3ma0VfOVz0O91oX+B0qdB39hUwFEIwR2Bhs07oy0RWk1MSE6EzAVzjbThzagcLjkKFo+OHw4cKM0qCJM7PTmtUNOl+V4WARQV/z/I2Fb7jQddWfp0omNZFqYH8T0F5WhXn73X3WpKxw7EMhw1N8EvqovNa7zmJf9LjTzd1anBgG8RsfmH8KwPU5UM5lS/Pimdd3BQuBk6qodv7rjqhU8Wo8r10z60u4Z7kaKcJs7NN+FmfDp8UgYofpwxaL8/anAh/Y/O+PVT+Eq8bVgb3nE4P3T5mvFLL+MGly9Tx1uYLMuVg8ZAKAgZ4qKZC6idLP3WNGGgxOEPNRKzwtjZOqYOcM8QUHewVrJL1GZlmF0v4+6mbhCM6FUc0YV6dDpUBFEdxT305zUWqKVoOYgWs4TDGtsNRM4WGj/2m7MJiZyhnpeFcER1M9jcHZGvVNJ0WUkzRwVI4FQ8ymUyOiQ3fm0Y5ogZjsPKpdAOUAitqlNM8eXYE3QDT0JESjBefTm/ekaqydvVa7EIunBI+JBEqSTv4lgUSbCU7j7oEcwIzeZXw3byybmyZD2OUKWp89OD0dJvgFd6tslN2PW4iP9lBHMMQvChhQ1kswnnsMZisak0FneYm8nlcjNP5GtuLnX/vP89XbTPHFP2cFH/jINn15ruyaA3WFqfb4WdwHFbRn+3MiU5IlIS6RO+Q2v1NOFdMg2M208nyPShCiTIQf9AAeYZgyghZWDO8uOI+oZ9InRIdt6f0vTM3xpWOXNiSMSetA7qITHZnMbO5990Vie6KT4jNOjWV1586Nf6dJ5/BfQVBQKniOGeif2zjGNqIHZGV6xNLrlX0v70rtYxRSh0rNeYBW/xbihdde6CebNx9en5ZVGresFenL5mpXfHzPuIeI7qUT0sxpNUzAWsmjkM2NQ5VJoOF/BI8ZQd4CqQKEGvA5sFzrXOOnnqWfIIrrxdjcDNrsjwf0kwng9tJhd2FxzZhiU44u9PT0NWnrDQr8X1NNGx/TVWV631AajdG3CMv7Fw1V73lvvVTYCby7kYjWUzxzP3pBZJ7TqHFnDmZWJ4lhJfZX8PvocX+cPOhHGhOtfuBF/bMW9yhF9v+uyZSSPWiMYWgbC84FU9oEm6zVe1tZx8ncqlhpkk7dW64SMDI+PxgdyUGDHw4b5asUcgSJcpFoXPh59OxpPh0F+N2zVVhqtgjVZdFZs30PM47WkA8COwB40VT4ZhU8PrgM2ogg/ORhfzK0jm+1dEUvlzCpfx7TBR09KHwc5x0Bgpfz0RbJgcYCw9l5ya6hXWrUFRkGDzc1HHfVKM8yNG5ywGI4r48l8EDDkGnjdQtMkMlFMxGwfHlS3FKR3p7vJX12+PyUYtRHpRI/8axXKuXNSHVYMddLQ7qUJHoDvmZimKdqtsLviXD3+FV6+Av57+UNJDO9tza7mnXprupne9rGg5vM+YlTKd5/ZLHnYo9oIGcqWjhC8oJyWbD6hgXz50ukuMi2DJxvYEypG5ZbHuomrp2Jq6LV3XxeWhlp3VeaXqvNe0uKZrzbna7eSly/66s/FRYcTWCHQAvel+2cVCqVIiHXYXcrwrLjW8qa0t5MHiCcjrjeXivGJTuQrSvUxrddZef2jCiapfpV3g3whRyFK42TgtAgHpOlkxq89oWlUinCNbC+bazJgRhMRm3bZ3WPc+0O1J1gedB6yevH26z4kNcAGNqM6fiBAYTj9d0MR2r2SupKe/1d3HGR2gieIBspffiagdC0fEaCMabxjcvkDnq5XisjsydYbDIuet3sL/yx7VsLdXeU0Bx8GzKGU+7uEfrqOxdWRzMRBd4V/gKezQsmd1QR/HkSPtTBdrYwxyv7BGhWD2Bf3qQof8PFcIT6ASYz4HjQAIdrzF+pZ3KR5+8PjmBk/zm42BA/h4I76NLvzb+zM/TJN9dZsd7UQ7RnV7KAEDXLT4dXmhxDJLU0tiqMEY6dihS6FUxiJiOdYSFsOvoXp0SPB2OoWwSJlPccs+1wVGUTLHQa7iU23WPwPVAJZhztzIzK4I/V1oifFareBgWJaZACgn4hjwIN3WPdF33RRlJIl9oTZG4aqBHV+rOO9Qvgfy25sp7D3YahxyOZhIjJITLuHDuGcWZf79/33c4QtEHGBVzkjB+1ylCPrmESK4TD0dxBjREOEAJShfnCI2sRb0Pn9REmSKTGqQqX2OPxv4x666zOUSmmURBNRM+gkeNpSW7mq0RJsI2eRCFCW+A400ZfuC4486fTUqnLhvJqMHgHhnPTZTKfEbR10K05eYAZ1PWswtjw6+7x6CoRS3amdaiYzf0PLFZgJI5biOT/AyE/pmP/3po17vxNigtdDpwuuIgHkulYZR9VTospqV8ahGmlXYMpo7j+A/aoqvn9gKoOumObjBmu2AwSiaz56MuOJZQEe678Mo1BbA8x0AfIaUtNr2BG6C4B3TQJMBhRXXaFQZJZzkWpCA5Ibw2nEQWq8q0nurhFUBv4XvA8HScGUylgGew8Tw89wcm5G7pottt5SHT1S02PZEtBU6F8VjHaF3/TBUXk0LhhTcet0WT8QYVp3SFqrfi12kBm6eJp6EMY8ezsFINLca6FsHv2OmlJ/ax/pfxF+FiCoK/3LQP04c6PvJ8LRdttyrlA0fBmAvILAJ/SbDBVSs8jYkuhHKWDbgWv27roQUbZC397fQ3dWZ3r3d1TH9b1zR0U9kiTKTFmthd2u55p1/Jq5GzzvLSbsfbniDJ69TEltS/dUVJCDeDeH1aFp52ruhSuvIcSSnwsum7lIxRG6njUflQzvLy2J52T0XMd3YRktAMPdS5WUMM5kjRwexD9wNnIFO/+HOws2ysKvgYSmxqQBYWgU4uwyg2B4WM9xGIivcCvqh1aEhF8ErYBj7uKkYCHiMbmDs6maugyeY144w0IksqlRPGxvJHPWy0bomk1Rq4fND3+mX4Ra9dLujTQcNNBfiRSMgzaIPfKM0E+zgiNkNHUdLYQBwNHXs0TZ59asoJoXu2eoPWv1uWF4TwyWUZDienO9r4UIW+eYGEOCxcwJiJUuZ8HItsSACzrYxSoIItzXeKFHFNFWnbrY9MnkZwsPoit/9kEGPZf/maBBs8LZhTV7jYlkkXJFNH74TawZkyRlkT/DKKn/zuHb67fQcjcvsvhyP4ZnC/zLETtxI8J52Iu5ruwhKPOisqNMTB1zI4qY0C9Bo98Oryq0zwrKfNjpipfJ9cRttss1C9NmhC7j7DH4yhr4ZCdLYsJGOufAiPIyfcXFAMJXBvuVnfiPrUFVSextftumrNM0RSlIEnruCwisUIV5OkPhpOuZldxJ2MIXI2jC4oACKgQILvLq1GOZf8DaxOD5V5pXwEU8t9klQQ2Zy7xXSq6Wpiq5dNJhPmPNz9d+AH/70GW/Y0lISW97KgrtTGpa8ffA3CW0xsAAWSjcInMD66X6HxcMFKsTjz5qpuyANQdbpkdI9F/ZJxLQYbVsukOdGRm6HT2eooR56EghT/VGGNq0t5hi5HwRjivmIUfFqWr+K06sbYSQAVVuqGJrpypZFCUjcJXffRm3dUa1nPqlkzVkuHeDKxjxzR11Ant/zi5EgnidJovDJuAlvpd881RHhf/A4Fkh1Sge7tphsOxJKMF5csDDI4wF0wcGBX4Wt5KNKxdYt4aI2bomXw75RmtnvvkjAVPUeT8mDyYBzvyr5di3bngcnJX78sLEw312Fcmip6pwanYVEKB7HBZy+wZvArlIwjB0cNR0zM3XG46bzPHMXklr64RtnyHtTl4Ta0uAhXU2HEysxJa5007ygJHU2Wl6u3IfuHid2R5anw20w1k/NEY0oL6w89POuShnG9chzSw+i0PQUwLYoDqK4cgJ2HGo6pJZIhIoN98frBz/TgfKip69v2TVjk2+6tJqGXTb+OKmrDpkMY7OAydoC6NB70unkP2kCHsd1t72SYQda2BiZvb0VLOS7UedLBZwggU42Hgll0THwqaIDjLd87m0nColgbUjBtatL6unnVe34bZ25LSPHoyoFgMEZpo/DSDBn4M02icUU/Fr823qVSf51L0spa0L2+ORfjYV3H8DAitK48idV6waEKC7J3Q0s81HD71vYaYOIKLcwFMo0FPx9uI+9RCY6IC27edP/YuEIul1Hvuo6yGqicyjBXp4Z9wSWS58ZjwNZnpBnSPY4PozYv7Nno7O5/vS9Pxd01oVA443gWPxiH8WwgrDvWZSCYNEjBfPGWVVGFJXGxfJc1erhKdoP3Z7OT1r+99+ypMGcSy6LiTRFnk+DeGD+XuTHNBvDO4G6bIdm3LpBdC+vOIF596gKNF8rlZCjXbR5SeGbQJxQtQJCOtdR8qFjitrIcZIOmArKp4yQLhzcFOC4fQ+9mmphlJ2IxIYz3zj7HQnPkzdQwxFJ1NKcaHqVLm6tidARCEgl3kJ9hy7UUyUz2vlIKmZ8lbGPmZznniHGE1K5HfKX1zcGBkl9MoQlxXA/hWEMa5blkkmgOak/oS+czm/jPA886zcWpe/HMC+Cf9yA3HLieqD9QsdhzL6YK8jpcuotflUKGIgrFg9cAQTobnxL0MG2wm4rcftqhBkFIzLCjArezu0x+RjYRjkYiFK/sGk8R5/iOYTOdWKtNJp1c3GQqwsYyxZlfYDY/iiyFUS5OrU5DmWoGM5OiyKwETVsZGhzskk/3DdSzvHZsGvQklsIRAHpWOA3BEMAe7LivewCVh1Cr46q+575gk27QbDxbGzzHXKBpG63ovqOscaBbCkTnEtvKTJ+8h3CUrXRBMqum5lJHb22SSP24J8aciWuABkUTMt1YqXWp/BjRitytpXN9GV76SU25Q3TPw7Xr5YQZXFMyPzaVKMGsMU/DpEEQsDGuQ/hAOpVQa9zzgnBG58fjr3jQ4adyT2cnxnhT8hFtduYd37RApgjkBilqk5+7quMaF1uqjsWpjATGm/Z8fpb7DA9EhiD80vQKRcfqXYtheihCsJyN4ci9l3JEHoDYLqGQsB27Xgc37+xplY/bOV6JbT8VeB78J0Wqxz5gnhDLLx+NZZp6GTW5jCkCF57XmiFFblwKZDAVXQ9vGB0od8ejIn5j0+D3kowpiRAjClx7wIYsN4vfXa0Wd0zWo2qHP1muyGZ0Li9ClBsaNtF10fWRNe5BlhYwRd9elBnWSL3jzCD+P3grmubs8JFdRjKJqkKaY7rTVT1M3Cc6GK4tLjNasGDCFMVFOT4L+xxfyyILN2k2v109wFJNOISMa0TR1aR4U8fgZE/LPmxbP1cmG84aYaNLV6YTA2vBQfcUDK6VgqZwlR/e9HfEBGjw4eGTVFWnGnQJIZCCddTpKLAEr5uOS8Rurttm3w43hYWpuL9VvnRcszOwy3HzZf9Sap6XjTocOit1N3RLZ/OJPXwJV5PBsOrL+0K2czoFnR1mZWu2dLcqjMnr2VRhVMG0CYwK1nqp5/F+vO9u5OJznndK1dRk/m7XjvfH1j42DcCksT4XbJZ5gU4ZVnLR/HTqFVVkWZN5RccOa0Ew/E43zixCno+OqOg1xYt9blKt/2aTdwOh58j3tQcEGuKKWY42WDu8zwntyuWxqUZw9FAKv3mB1APgyVM6qjl3Damb3rTH6emIuAniHpmU3TlckGs3Y6Xp/Utrl9uLCqU6t5fqIrH5p+va7DbF7SJXGP7W0UcG+xLyS3gMFJ+k9xnjimJDO7XzdHMj5g7EeU+ZuIen9VsX8OREz3lacmHBAdrO5pE2JjNYFITz1QVJwfSOwdX02DnPc9K8Hnx3w+nceTDUUfsIGRs2ri0DIKW2meunndnUnfhcBgNikVI0hRsmIAzsyKyDuMfnaKTrzOdbYYZK9nPAmAYMxN6aOxfYRQUSbiEPBl2gA+ClOSaVz5iSiPhjay/vNSAKXknB1sNi/FB4Hevv1SeD01mDJlE/oIigifY9j9u1iq+HZvw8jmhSHSGHo6M7FldRsQSIHw7lYq5Nwk5SUTFJ1geuS/QJHpqODokTUiADdd90nu52uroMzNyvO7+zqUfZpbUHdYUMmMHYN/8f0vV5o/UD5NCjYaepJKhAMWe7Fu1rkKRwL+4ll5ClLljQrvKrK66u0LNhXTjm6qgNsNOFsLs7DrrnfD9tlmRsb+w4fpyxOZhL2GkoE+pkysuNaVVEbm16Yb6Y2TF/Dvt6jN+lmS4ayrCB4DdqPqRMQKIZHy1EaVecNpaIYWHIINiG17+Po/hM/pSJtArHonS3z+Nzj04IVUfYIDu9M4pltzU7mm9uN619aK39j9ba961N/2b7rc9TG96GNv5HGbWOfxuF1bCT0jVwTOEXPD4eXnY6OYMw8bVZaF5zHLpVhGyM0YnSobTEvNUOJxnU9CNrZH5+0FIY1YlChsacAOspUy50tHPXyp/RgWkR7+ySjlELhWxdID98TxUzBjzuQhIoNV8MoS+FaKxppI/lMZdN0Jn8KVkU00lHK3lWeqBDgZS8ztckBVILamzlcTjLEaeQJJxLix4n7tEZLeeTJrZS4NgARMdYlDTIIDmKjtVlCh9zqmEI4vAd+Td0muK0whKA6YAW20cyju38DIH9hyJlSwuOCa4BexVIb74awrhjyOYWpYkm08dtqaniMXk8qkhy/Jf/II73DoJTETDZHN0zxtGKMnirCJH4osa4V3gmTjt08MUFquL+7lAsjstmYohydKkuN7xOyVTxfDz6mG9fVAoveGwn0Rur55r3QQ5FIWRrICh3U/q541lFMM+fnsnTUEoaNjSwx83VrVyb4fvQFi81TEq+uTZ3niHWINjqfuxGI51W5CEhTAOKIx2shnEUbrNP5l8rLJNPT61DCURR1RU2qI4210jmfAiKWlpdw+nBUQsyEKFh8GCS5klwGY0XEMW3LpDhrUVul+OR8IcZqNoHLDi70PKeimIRqzG16wjh10Nb36/b8mHZLt9f2vnHczv+t2Nl9z6fZd4qDfAvQ1v+rTJMKJA6CkXz62yZ5FjoYTG2Fbuj7GjChEx6ljYWaZq994JRqSjZm1ETcAPEc023jhVxIYq21kfvr66Vb76+hs3NmlwV2aXND7bl9BIVjn6Mp3KileSIs7DdmYcnKqUr28pjBsCwYCgAe3W7+gpTfTu86fuJzzfUYELEH5y+OQoDd/iaKNcbTtnJHZKHI+qOeQs2TcixmKgFunls4EIhUoH0pJiJd45fIcPrKGjsUZji+aACdXyrEKnAAumkFVtrbDCbgooL5HDzKOUA5G4hHNo4K2mTJG/HG1BMVKTzx3DltJC9mH6cO9tk+AiWierDxUbH+vdBBU9ZLz7mRl4aZ6m+DsdK8YRyFKZHjyWddbfB0eiyVWy4zk70E6Y2833MWlfExMXyT+Sqhq60kUYpc3Ynajpa3I+0Qi1f1Xo7rtSd57ouPi/k66n3SIfIsT5sCuP+Pc985v4japAde8TZHCqCRHOIc5kkx0A5zJOec+8hpl57MybOfY0+3fLE4LvhJfemxW5jYQDIXGRVz4icxomIWV25wt+0QGqiaruxHCG0wAFg3SKHVpFxfWRNtU4d9QrWtxrbeDO2zd2mCuR3VSB3/77TxJoJ9fnTuV2+FM1CAT8ckYEvzOPiY26IGWpQFrTkbfAU/aBl5xZWaRqLjo/437lDiN1WyN4Z1PS23UfQHIez0EQXceHSe118LQWL9jTyQ1nFMa28tYICoL9eUD9WKCbgXJNtDVnOxcVT5CtZJssKfWJRJUoUrFYTSGgZmKQSlbt41/cEC4qlmpIcL++lCSbUzMMAZX/MjFmFYzk0q7MHbMQrPAqz1+PVk5MHUiYWzQVy3Fesw6p0uAl6q1NibW4qkMAj7rrluONYV+0tHO3i6MI1ZJKMXduxNlNxYzleYo+WYPvZGlFhYZpNB0FxYB3Duxx9XEZ5cqhjuqgrPOTY88Oz3BZ5vx9jTzUVpZuTifCh6b+TRKimwZQuDZ2JXBjWxdQYq/vTPXTx1Guz45XwdwqORtVXxx4VZw9/kkmdtS7WA3DltKlueboaTee+qYDP6Fg9Cthej1GPcUrQpgJkyvdx5zjFvHplo10Pt1SrUyAZLqUhoAgT5sXgcVzplwxYUKLRPJ2n8mPw6UjFdVlNlP591DNsJiQ7jlcj7QxhuP+/tVTUCSKu6HZG17OCnt9qOTVudJa/RyYNRqsaSLDgM76n0BjYVldAy08eshdAOH/C6BZL5RbzfUR83V6T26DgYMqq1EOS5XgT20FUg9Xjqt1/vK9jJID1xdjN+VgdJkfx1wqk752PgWuB/WAu3AQmkedJpgNZkLpoy9LpYpDBkUp4DxgNAxES2rz4MznkwsvO6lxgPkU1vLrQT+KVqJ/ppLv5RC2u2QRg0d1AnwiZNtG5SUzMz44NW9eWbqvYaVd0d64j9nJ1VWrY0IBNDCBeR9/lXtSUbBh8CAQPXQuZp/ORwwQIdywyR3UPdEen0lZTIDNcDECubhZSNB2htfPCF5mu8/rcXah4jpVdw/vjwdL0F015HnbwV4YELlKsOU2CjXtmQJNuS9SdYwVCxSw5Cg2Z767KeR7cXKeIVQ09eCCjuFCuGMFZTO8pqESmvl3UMUsSSBGj8DhHaX271kPKA6nTwNGmKaxxYJbNeBVYUIDAY5GZnpfFFMADwJt9vDVz3bhvWc/94QfiAbKKioS8b4ehBTvNoDKvVdQeT+HFGlj62nB5kD0eSLKzbJBh2rQo4+OhptI9gplI5HP5rSI9FAMC42L7Rwp24T4aokmMb06h8atM90p4nE4q5+KNiv7EGsBkJUOVYKnna+71nGHSTx12qNcgjj2WOUAEIMa0fx+zirEiCQS2mniqQnC6FshgLAGBszvmKMtki05Gu9H6ig9O+0lehIqlNAiuTuJuaKv7Vbt5vKmAql0NBHSjT5WToeJL8tm41jFBg6/TQkVBCycttcHat1Nx4II/xioKTqZ8COmiLEvU78eri3Q0viHDoyTgvaEOicOOdn0WOJPMU2XozEPRtYAxMghx/eSOzUfwFMiogXJk6Nb1PgICqIssnYJzrIKjohRjYsMECnpfvOnBQO0Sh6WQlmNln4KkIQyO7gS7J2pi8ETfRVOSQjopd3WZNurD8kFlDc0iCzKtTHiXMLvlurr347KgCo7PdJZ0tjE7NVMgD4mO8wcXRA+75pPNhJOlkGSg1e3DLjZTnnbF41xuCuNiMISyEaUP3dW2On2wRx0rDwXz8Kvb+1Mg2QxuVoWzWeigbhS7LQ/vZLLBGnRUiU4YZyu7bOcWWz7Rfyw3lLYZq7MZ7Up4c6g+liDqYbZDFu9d15v1N7cHRBRAIubwXhDN6lS0touVWBTI1+vQig/gMBVIgtaAqjiC5xiMccmqvBg264Jw5KaP0uh8LCyVxNGZ+EBFK7HKtp+TczuNhyGBrHcN/9x0ZNPX5N/hZayRdPgUZjFrbIqTwZXWwMImFmZ7BDr7pgXyYfWg3yMW5yOsdrHYTQ1JmBN/xs3gGBfsLt1QZE3ZVdi5ufkZyUNJoaP7+IePyh35/vX7dng9tM+fPrfX/Wv78vKlvexe2uGlaCGyXNofdVSioxQJ1zii8Bi31CqQQ0VnJo9F/EpoRJtywOH1KvfkuCwpm/GkGHKKn3neFmWDqSLdHQa2mAeQs0InGd263VKitxZw76OiCuPeelwm3Fb56Ibzswym52gfxYeGDzgApUBwVIfrvSy38Nv9bal8TnVs5TMDhwwuOp46w5ToZOPCDBVKeBgekYtTxRfMrLAEATCgYiO4OA2Pzmx5qGIxFneODjMu7CpMqCrYG2IKAhSwq5gAfi4bDPdHx3SwLC24wt46YZ4aZmWJXtPShRQo5rDUNYUQzf9nKCFqCJuuZWh8D9mJYUKxq6lwzBKUKQP2tzdlBPyNArgZ2vhezQCbomJmESKwCayW17A6ih+bvLs42a4NZa9FUerZLBS+Y60xGZYYVtE1c4a2DHT9oEW9pcLF1Jz9NMFsvHa7TlHwsxGJXbKoAsJmG1Nr0e2QN/oUpeu5nKoTpMDsC3aIscP9pWJ6k+vDSaRvSgTwbY51nIegTbdGE2vuJikE3A+ZSnt4pfcJJQpuoouZNuCFcfmV865mvpvqDimcbAi4qxtjF26O8cpQ4gTep9gCpv9ow1n6GY4W/lzX8psXSI7G0U13Ewa+AS801kPkZ9hAVEMCD0lisKqj0qIoJ9q5nIkRSV2swlDhkNb3w+MPIjj/+Ocf5f93ebzoOH38dFRx1EKxFZkevNW1e0vR6YaxHDc9dU+gVrKbhV0440KLysdTFSCkWym2bARM0a2okRaU94PdvM1TI+OLnZV2SG5KzEbd6agwGh8KXpXrJunlcIUpVMxiNkqXzj0w7UV8ORcbCis6XJn9Ys/m+FMWVDJGUsz1MASstyxLNejiztDk56pRVy9J7dTklqdTNoYkqsWqgtnVUaDXPt90SZswahtapPDx/uTGbqedTm+yRycfoSnFXixdqroQGwhrLWbT4QjsqNPYhunhQIHhSAK9RoYbpyJeh/8ZvbTuPwMbOkEPYeTFyIPeSv6Yh5kOK2YbeV3yz2Rz9KlB7vbxbZxHC7AZcsT2sVMY/SWhqFVYQ0EL91MFlgfeBhtiNViap47/UoF1iTiW3npRG7mm3eCXfC8T3XXMZims/LN4FtyxLy/VOWpuYPpbN9CNkTFdKANRp4yGmxyzCg326EQvV810N3VhebnjFj7o2Nesd/59j07IunHAW3wxKYpxilKj5c47xH6pe3ifxjHT+X/zAvm+rR2w8xpl8l1HQRYQC07jdKsX8pkjgCapOEVfbtr98V4PhrTVD5c2/nFsi58W+v8cr3mzdJk/HX8SoEuRhEC7vCnTAsKaCC6/fbxtb/dv7XR/apeni/iT3YwXSgFttiVHWlx0BXEackxlpqNEmmZqqmCxqRxrukkvXpTOAU74VnbDOBnPnbRloOGJeCaXMa7NJDKgelf08HsAZE4BLNT4WBobSyFb7uo4BRapB5yJpLue4ER8PQqULOxk72iIhRzSioIswvhoRhsvwj2mtpcy6Y0TUPiZ0IH0cG0KZ0WaSFctF5az74UxLGHLNpYVBWl/quMXvEDnf2vjQnrHiYvYUibU2FlROCB1myEQtZFkhmBdIV3vTjpF8Dr5d0qE5DValgZZmuuAtJV7wrrKcI1/g9GCZHhvNnWgK12X+oVBSEwdtCF62BQ/UgLm9FDuqvNWDIjXhPBjW9gBc+SE163kaCb8wIdTS7ERNpw0Rmc+5ZjJ2hA2mYLlAh/ubnT/MYHO4IvnSdQ4pHmYkhCVgICi3ajA5PvQJS9xQ9oUQTxKp684uchtTzUslH49eTV2co9ZRJ6fQAbZBJUwYBcwNrU0LhFnyFuTjQT8meu1rmvLPdFGMl03Ez2r+1FrQcIUyyc5Beq5xPF8nGT48bt0kJK8wSXD4AA6jY+OaZe7HZgneHpD5jRlEhflijowJlns6Osmuo8ymvHvW1YnRQeCkka+gXRWWNkzuOHIAMEV9ceyQOrQPwTQrys/N2YWMYHtQ4dgMi6OvUuD/eCOJNbucjeZ75rsSDMHo870D/gcGaLpPSluydjoFl+qSp4IZkKbj9y7mA2YYJ/r2fOK6JYIVUfrm6CmRAKYmK+HBWzLqgVhwS7aXREVetEshU5SsEQrxIjBErFggnopJqULmOfhx83mUl2KvudpJk+lS2Qg5um+Cpr5fMLmjA/qknqwo4ebNUHxAB/zoEV8PLsVyUGao+fRjk3n6qwk06Tocqzn+5hfGillJHSBPlSkMZ5A2w/cEBnfjB+rkw/YqR29pdSyQS4brPB3ixmyEWfK2rm0HE05OoaOYjhKv+jaONo67Cv3o3fIgTTcTQvusNwv/L/5uslr712bTyXhZ+pe2JAlkbOBP6QDb5WnHn5vhhudUsMzwFDWCq5uXOtrp+4NO0M/B3PoLznWWSf9d5/kelRL3pPXmTZMG+GwWangU2hZaxzD3RRl/iHM1NSu6NJ/F7OKt3O5YcOr0wM4M7FV+zwsy1vRdv2REYnY6gkv3afkP3SPTKJ4eBnW3J7F3/vh8kNZsnNR38c2/TJpui2J3lhHby3qu7Jjevvw1k53p7Z72BV1iLD6p3XbvNYuwetkYquuh12d4yPYDheIgaAfXC30wzUzJDcnShQZUFCQTwVoh4IBVYapeHzvooNOlrZAZh4OQp9oiDY1tURuNudaardfXOGLOP/wd4EsunUaXTuGGSc/mK+F6ymA3vpadcQoSSzP0gbDAz4VbUjQgN2YA3Pw+jAUiW8l3+PT/pO+H5EEOhqaiBzfSnXlSMKYpkMwXl+HSXRUdGTYyEmPjRZ/OnfFi8yDCYI3tSrAv7BfDA88oFJ0LkO4fZmLaHNeLboZhJ51nw7U7TMVvykOI91awtsyJVUHei4IBLwzR1TRnJBM+uSRgVjcwuW4xMPFAAL1y3spTGQAbA6f1C3TTZl0bPd6ncNtwQc68tMw2MVHgVwwLzBOAc8+29xhUbZsUqet3ooqxfHe8EHUO3HNzilOm51pVsqENiTC9WAAKQkoPEljp3GBTwwDcRn8DJntHmuINg5jVzLFVFmxyDWZrUHKyWbXDC+njU6HIYNrmHo59i4vsRvhjOYZzfrX+8B8GYUZajTHQasJcIEV3rldtpvljYybwUyZuL+9vklwweuR5h+LN2CG3aEGTsavNTH/Jywh/+sdJEfnySRNjq2exGkXi63YfNe0bK6rbqxcieIl7jcpohpQkO52WtWUcT9oui2DBxcGWazRJo+Fi4gKQw4Jg6GbchSO20ecekLq5qN3sw4n7zGbMwu2eScV3DK0hGCZmYp3Sgj/c9qavofJ3nMjhkifUqT/t0GJf166jXBLOxfTH8GColxgMatDtqFrMkSCN0aqmO59nh43l36qMNtdKERkFpyMaA2bRH+fCXloNerWY0GV++1pY+SHMrpwch4PaHS1kog5Elj3xwTndJDdou44A/Wxl0vkwziTZ7pL7JPndD1ZAyH4u9OPfj2vORzYuJx3KersZJB4WHU7yL6xWVuYduav071fVZa2KEQujOHFBqfM6SB2YqGrAMVoi3TuSqg9IYz36JKZIUMGcTr6xty3CJVVEP36cz1jKJNOVmvoVEmVcb8ZhxpAahNkAEnDYPPgrNlIVIV3ek3qx5pTKkEGRHYbVAQ3TPHV8zNjKqjDt89qKF8h/XeoKMbBqyLUp7mQv6RfZ8QbIqcDDdj4V+vl94h97TGN3q3FlVosNPUVDole0hNqUYDc9aRDYhERRJ9Oi91m/GKHnv/noi3uFyXlGlvbbrc1Gb2Z1C0uf6pcE6RHdG3gD7wWBSm192Lm0w2iGICTxzPn/JjwoCIb66/JprR6QA0KS7NMHKYfpOT9BhdKbER3TmEyaJ9IQQ5eCNFia6GHPE8RPRbFI+4iYfSriMQdxjnLHTY4eaDjT3A0FgiUKa6rcDN4kft6mNnp9d84b4ORLguvobORm8zJGSq8puQpi4dSR7Y8lApoO3/REUodFwXoxqoGChdYEDgo3+ZtWeFap5O6A8EhDKa4pqe6pnpY+TZ0VctS/ACRyEpsOrfN20YdDOuH33e7im2NM83coUW2VpelYgDoJMFheb9JdjzcHerPTelI2FV3n3YXq4xkNhuuy2XV7pZlzssRnAeNtSZNOZ31OKmbi5O8sF5pIlws6MYQn2z3pVf/uCqq2rokg+Juwi6A4G6pnTZciO5WeoV8rVRGJrmOie28YseKdAdwG64IS/RUWPg0hQoCOca5bLhHU2qc7873BJtWxryxX8gmrImH8UEskg/LD1rPTK3pxp5aRenmNKF1zQnFBsbcAxlG7EtarLmBj9AZyIqGxpQew2w7omuQiFnIgkf9Tvfi7nxXJzfjyXHr0nWAI30cekwGkAa/iC8WGT32gqj6PMANhisZ887esd+6QObIMd+95piVgPCLW3MfwSK/S5eUqh6j1s37prXn1to/CFepKbRkaQ9LPYxxUqZIdswTQjTgP9gkGdO21NcCclyp3HJ8RE3311UW7evJbThRwSNDONWDyMQSziN2YJOxzt9ggjmGqRNwApt2tIVJwraF72a15mN2bCXi/sRWxtzCD8Xckk0P89KuMTme+70mgydB8Nppbbqr70EXRoG3S07eY15HYIP5EX9uT9fVQba9yuvSazRvVMUfyMKQkxQONt2QSYUxMG1mKxcPnmsXwm5gQvfCkIbGCWMSa/k7L5Jr6mFTnMo1zT/777ns7iw71csmyRmE5fplQpwNUQ/xWDAMD6u6zN8OQn5jsDsvXurax0vh6zxd8yhiU1eS8peHNh1QClyI0VrnXvN9DcwifHM9soF2vDKDN7DQ2UC1ix3ckco31KbNnQIGHxEsFPrSUBN6fW86TnfdORLrxETfEc6oNw0dg9lobIiSk4uwSZ8KVFPcPHWZrtVrPHcSS5DxngbD10ZfyqUzlS1NUSTOPekx0Q6uV9pojZ3/LgWSo9bcfzCLRnzCcSGyLd0W9lsJCZJNOi44mCYYpxE/61D2Xh/+8qHd/HzT7n69a+vNuh0/HNvydtnu//1eCpr141pHFQBguoWX+xd1jeCg+6d9O7+cNfUcXoe2f9234+ux7Xd7Hc+7QzM8QRYEQ1Am0MYmNEFm+m5DTdGB3B1mkMS08/HyWM4vdCzeOdMBynTWnLPu3uwHhgVBDCw3SxGnw6m8MtukTjpHBU0yPalTYbypvBVhhdOq3e/uSxUSF6Gtya+QjKdRfx93F74G/82YwXbuFw8KuJcdjQJP5Mgjwj5HII6xutn1QGGzL/zHhQDsWAT55U1Jxaxd5/qk45JSblOekDJDeN8UfgjGaMxNk1sKPe+XjoaH2cOYm4cbTY2HXwd1BpunCjaLA7zci0z3kcJlO7Xl41JYtHirjtjgZ2UaTwyIrMt21usvvi5KoU4JXuBebgpbw9A12crZ9HP0FEXl1MoY9jyUEmg8yUlcRzo8TU+l7tIA8MUsCp8IdMqyD0BIz90chMB7oh7chXXX+FBgOBU5EydS1t6A2F2rD2T8OhSsuFxJYHDclg9pZyaE9rOZ2vmhThGojcbFWLZo6KiNPSYLRlgqEkGMO7aLNnwcpAy7/Fq2bHe7O70HfoV2o6k3mP2h7g9GysEp+RC2jmGzcX4oRnEaCoSjZ2xayLwEfFtr6liwhDYI25ypSJpJIdUXp8w2yNPgn8ml+afMKtRpZAfjOWVnHo0HQAmwx186qAw65qqNroagu3gv4DmFTKRmOHZQJVaLtnwvjiKAeHaw7DrBgURqPS/Lycf4lCyt3HEkczcXpWNOpsLEHFav3TtLilcoCTEJ5iNFJbEK8+FKjqrihtKB+Kgj/ImHAgDaJg3pwH+LBeY1qJvhmpI37uKgTQf1DNiR30vwmlCCeC15mPuEPJ1vNOY2hFBXbCusHJsTlqSd3Dt4Oll109NSBT9dQGSnonp44BNVjrq3ZdnSBftUB0DBgOPm7iRdeSIYhKfZuSWJhKy1bBJzXq0Kh/l7IgVbpZEOXLDEVAUd+CH8OF/APj3t9mReuwkuUycDLueETt17K1c0+LFKLNik7isnGcLGOF0zEef728wjWFi6KXWdhny6KXUYB5kK+1rHWUrdqju4NCMazM3UYXPTj3ksbEK05gKEdON6dvEgXZ56gTwiE/RQSwMhhpxhSVjVEwf/royxaUekqzETnjtE8Z6EGdoBio/EI8fRKWFkwqtnnXIGZxzpNX8wphrsf/6c5zMuQBp6/h5uPqutL4xxBelPh3W7X9/LhonAdxaFArDaTlPvgLqiw7Azwr/KbgyOgIXZ4txev7yqIL4cX9r2fdvuP9y3+7d7dUeL20Ubfx1b+6616b9dhxZ4RTKtZmqm7geu12oo+ge4k4nr8C6FjS4dTWB3YhWSaWwfTh+6RX1Itloodj5h98xilWnYZdM+nD/oofv58nMP/eJ9QFjNkUi7FsmFl0ldnYjadCox/jSvLfxHdWT4E2KCwGKwrDExCnTRUG2eN881ASZut63aT+2nop4sy9GFgp9iqmO7SbjdeNc0JjngWL6VGAFds8uozpm/4/cUT/784fRQzkKnWy3sX8+/VrHBU2AYpWYQMH85ya5sc1MqB3BJBnAymng5CafS8Wg1KBVPDyfdLhSvexvH3hfUQBer93pZ6bVzHTSxx5qMDm03tM12U/JUNsXlQimH8iu0BvlxetR7+/T+SZhUbM9USDIYojNEEQMPb1WFlMJGx3F/ui+YxV/DWtMwgOuGRZg5reocwcROlRQZ2CFuSfIlONbaUAdmB/auvLJvJ1g7Mb5iZozF6hAHmU+iK4gNQP2CyTGQzv4qGVWBWldh1ObP9Hs3lu/ovkLncDnnvUvO6uP7ZrPR9yMIjNMa8RR8iAVwurSbQ22K4TPC+mA9a12z3m7O1fkbOuDjq43fER5JltTgh9OXu3j+XtzjNspoWxvSujZ88NJIW5NVLqYEhXQGE/VcJycchG6mv/PmxnpL4/JtMchMqQVjmHhqQwItHkvuwlrXL6q8GezhfOnCuauhAMnHzQRUFhd4BiN7LgQLAlwDMF0P+l0tAB7S1ftKCWtoSKXLPptG4s5OO4WzcsR7w+0FSZ4jSYMNpjiJPuEA+/nke85zzGuPC7kKq3fe3nXGasy5w+qs6ChbRbP2DJw5FcvRuDq6e6KbKXfnX9qINsUsHWKMXdW9QQsyjanjmjEiDd/PuGCuQZyJOm7jrkkP62LdcdwohmLd37GcqFtiUOppcPAyYV10dk4xTNEi7LIHVvGJZp5btPEDNVv46lTM/YtFVqIVpEE/LjWI6Xg05O9obmdddA9hY4A0jyaeRYrk++fkgXlJNPdzr9BMf5M8mIl9dMDqFC1CCLabE0P/mK2BzjQwNzWdZALQOp47xxqNHat7yvUBx+XUwf2DTsPnsgj5ej5ZfxR/1rF5l1pDGNsyMLUDl+CA5uhfBvK2KONZkUkMxG7eM5s99xjGCRLfWeeeZyldf6CfNDEhswc7zuA03WpUetlA5rlK/Oxo6sNvFf7tayrcHw23hRf91ORn95sXSDzd9J4xTB2XbX2z1g7ETsdRTE2itcIqjkvDr6F5+AgW3iH//dyeO5jMghpfRk3ewLieNk8qiHAIX//xKnu07f8qJ6D7m/vSHtOlvGza9mXbVk8r/c7uKBceTyxvD7d1VCU2AGv/scwu3o/vPZBJE/lj0RISnymdLVPsYV3HB7uB6GYTfDQz5YhhaShGFJAYMuiGHisuF42z6uFUxgPsvrIfG2gbTfC1/Ko/rOZU9onj4O4XAP+01PfUFBNzUL8GZUJDgfBxj/erOAy8Gp1g18m0NocIKZfvjTRNuSKYODgNUCqMVUn04AvqOvlYS/eQ1ys7L8jSNvfgqKZrzvEJb9CDN6N3O7kEwCfrmun94Tpk4RorntTB8dJow7kEkGc9HZft7nhX2m9MfLdLdU8y2V0WHsvpRVxYO//oJAM1DCK8zWFzXNX9W5fLvU4k56Hdt3tFm1JspKu2ATBTXTEWthUChkeAJK8kxuIxeS5zFylirDpSYVtelSYZmKQwgrlp7ditPXCIYl4Xo95PTCgocjn6Z73kaIssmNf6OD7WAAWVlQ1h0u0mxlZ+o2ywo8nXL1t1+7EHm8ALuQ47izaglZ3L6FjBW++H2uyMrQZ3zVFX6+dyqFjh6UX/RhARa9QiE0Fp5ofK0QknJ3iVp3LWih2folXgYk4HrWN41ZFQhkmjnz9VOFrsAWMFKAoRdnVIgr91gYwuMuH0fSIMpsHxwvGNXW5k1cOc9JxBRldWWH/b+VjUh/NJumveKIuQi4KnoYwosMrfLAUMa+hy09rluSSGOCDLJmm62ijNuY3Szw6tjEsZuJh6k18ZrgTvmisb0jWka+vT68EcNqZuQA7WrMaUQwL+SyUWdmrUjGcXuZpyPqynjWY3nLBQM7qOHRdtGADnkr4lyKkrNbDLsilAdNX5+7ljuY7vl9+EjmUyTxFIsfVDLHqWJZTi6lkOps7GnaMWO1pyYkEdHpXuV3pgpqK+luINRo6ZSTPdwKmKdNgBwrcNcfQBoSWeiRkWm4EOks7JkQma+NNVz5RPiXPtp53Z1HeetcTGK1+B1UrSyfALdU1nihwVdkMDuoYMQ0y8jros4WjpYmN62w07+B4JCnO3PMfqtH6mKrZ6Tc2pgmySuBbx/Tn5JDLWmHewc6mprCbS8dt0p7kyqGcqWYoqQr1lkCckuDSR+Hmer9ER/TnPTMFc2N4xOzK3NxWeGygcLYNMd8t6xowr6hrN1Hj6naaB1zBzY+8G2ZE+xjAnLkvBHm34ontE3bHs8ZsXSIpQio0mj+z2BHatCmAV2H+6aoFVVO29l+FK7I9U8Rer7rYCl6rTSM6L9vzrs3AHceFwG349aaGqu9lu23A/KDiJoCGFxj/t2v7zvp2eCzMEQwq2xPGIhQDrngV/d3OnHQjXHxGgfYRI4YqRBgWVh1pRBdBYZpnaIqW2vQqIui0WFEdT3h83yxkctzekL7W22W/URVIUMhiK6a1wlk0Fd0mxAWg9OUgLb8e72hQUvzmt2s3Ljbrdm/2NdkOuC+/1ZfmiBwH1hSCP5agC+v30vX4umGkml10XDI7mXJTubm1TZB58cOfoiVnkX9qX64ZpykcC3DNswaDi8fB49e9bl59iunLNsfBlPb10krgwMLS/MAkgGNOhXHYqSNvbbY/BpWOg8+c6PCwfFDEMhpzoA00s1+UvGC4c9ysiB047KlTiM0/q/HI8VseMI8xy1W5uyrEHDFb453nVKWHpUBL/S5cN53K7KocqHetP7lI9/OuSSLt+56gtGMjUMOnpM4l2sxHMTUWMCIKhMmjYRIIZS+7n9D9180t382DYKI6QXCY3G+aA83jAy1nb6hyRrOKLsLqU0gW2wvuyjrHWqZMdpCEePpF+VqSdtgwS7FzNEnLSYVEcRwp3MmH8ffS+wD4Z9i3r/cQcRTAZw6oYZjh/R6cdng065zgi2XiC78V9YqPkOvFsS4ASEj6wwXLR1ts6AYiHCdf5WxfIuHMnvjJifJGiMxSYhdv3ySlttzvGkEV1XGXCxzEcHe+yMDIWOBdEZGcoKeNVzysVDosL0Ltdx/y4+kD34QjRHTw80dIGZ/dldtt0AiIFn+50QzT9dlek3cxONzwgMiTFDs3H9Y5hJcrB2F1Iut1JyHSESKTS3UXj3Hc3dyMxGUhOSyR5LGjE9RT2HH8zlcz0VG4sXMtN4b1z9QgPLEdEsQPaKCoECyZcNtnQx6vvwum2NrPgZHmdUDX8RkqzjJO4nWrmnLLgPMJgITEfbdN/uVzDrKDnuHuLPC//JsMt/k7JghhMbG7q/SFns3O5jpDLdXs4P7TH9iisWjQ0MCpv0snOyTGV69KdnYzj5WFjrcm1/XhT8NG7ZaUoa1DFQIJ3vk/eWyg1MWAAn8390CnABr7i6XGCwYgZhsBUXW3HiDM4Swfpaa8gDFvcUeClkw7u6PeQeIlo/ZMTw/PDv4uRijYi07vSNeuITXGyI1Wela4Ks3v3QOSvXXvUFaKrMEdYNB87jad70wCGeYHjF2RMDfGd781S5VSDRNn3O91j1gkfYaCInmYDlUzr5yq9bvDiDKyOXc94lulq501OpvrftEDere46n0i72qGGHkx9syDCudMFiv07RYeiCOCNAzfdDXpIvG1vjsVz4uhGy/5aNlHgUwKZj9VFgTPx8XR50g153j1rV1Se9vu5HMlzxIeuAe7iibsKJJnCr7Vr4gGogvDeKvZy+tKPKDleS+mxLV2olCiHtX5pB3XgVA9EQjc+88LshOvzRZGl3SDUfojCfWyPFoA5RUMYo/Xf4Gm3q9v2ePvYtpttO74fhQfFsh9sTh26J5rkGWu/x+mZTvZQ3fMfLn+ojnexVzDW0/BUBOHBE9dDdTJcW6I8FbrmDS3HH0xD1Dmjn7+chB2HrhRIIFI/vp7dnHtH5xy/Tbof7j9KE12H92WFldkajslt92XEcWd5q8758fFRuNWnxSd1L3RAYIJ/nv6siSRF8u+nv7dfTr8UP/a018/mPsqij+Av64l1TDaNiftGJ6F1gi3iyevMUQoyRcBfYH3Saw4fUBEL+9JLSyqHSmUxtPslY/fWDtvqYMDsVfx9auJahNKi+Nhh34c8IePHOb0bOmPAwbBy2l3jKixz/coNCI4n/pA8i1PhnbxXzKHTnXJtHy4PfS1m05fyiaZgGivK4Fhy4ggbxm1h9+LXMpRB5gmjoT3oOYGpoHuIARKT9kP5LdAF6tleF1bIe2dNUj/k9zrVSU2dKP6mPsH0zdSFTxu584Rkgm26TtyPeoZUNg1/drmuVTg9sho4JuYZ37RA3tz1XJUA8rrYtpCPNZHA7VlnNOch5U0oGW11KcIqLkEmMKfzi/uwpleeYHKzaJ+zg8U9RkOWQxUfPVwmaafDokjQASWQSd0plmSYyeJSw/fwLpOjf4ZPcVKOPKoXOtOE8tEdwxNO5gwX8BsdWTmKmCybSWRMJ3QUO9qdeayORcc9AHvMQFlI5zqCsAD5M8nTHJDFAxnj1qiJ9H1N4+m8Rq4ryXaj6SkzhUh52xSsEDqTfnceDkeYLCrllNMpWZKoE4Cn6nyKotJuJBt7WDx8lT0ubHS90Gv47vxdFQf4gj5mC9DHld38OvHWjjWVF83ncBYxG7hBuc0+0mY6qphhiomNavUzoeSkCLn7SmcSzDzqFRV6ILf34hrK8MJJixCclSDJ5nUp93MpT+wKpSGBtfsqdsarY+iCNFT/hiGEbe+6HtofnVM6Wyd52MNA6DzNWbpm8nA48ehUxq+FzZ/pzoEJ7ODep/ce4AWKkiMOz7SJ9sL4hlKgRCGnzR+FkjvbKNK6lj5ZO+P1uM0a0UbKz0oejCW/EShoqu2M+a/waJ8meuecOFwPRtMF67kz/7rr5mf4cpya+IB++LvQfL5//F7VmGloLorA12PhZsKMbG0u15jLphfGLpdz4QQjRLu5u98VhonpOHKh9xqcaOFFf+sIU96w8mT4eS+FRWRaLX9BQu2JmmRYgm472OPlUeoecdMuR+2yPDBoTHmo6PJ0xAYyWNQQh84DzJJiRKFU0WwrLfB8D/5tjkWhejA04PVo+kb8KNO2xVG+hDmCZyihYca5vqfoQMaPYvn2MDxIiSP38sO6jqvnixzWRSci/4QH7qbkYfA8FS6/W5dx7qmmeDpqDYX3SIO8qmwSHafdAQZvzeAs/npMYtnNP0wfukGwsmms492td90HMscXjrwfFh/aj+3H9of2h77Lq+Maj+pIDutD+659p46CXzyU5HrTIXweP1e6IRgoRfu9jqawG8J7pKPllza8oVzr6dieTk9SZ+SBWt3VAyQcjnwi65pVIO3K000fKG6cfE6T3OllCIvP5eKo90kXxC+OynIfssZfgxsijAdPn6HAgFFa+8+GwbX9w/CHflRm7aEQ4/2CQwdPUwfuOA5tGj4OxmNUSYuYOlt1EwMMUdccRsbJ6m1d03uKAZ0hmCIafrrFDC4DR7AhJAMpjlvq2OyCtMJYghPA5qZEHyahJ1lUfp5IJw+2L+PP15UtpQ15WxZyXJf4GYRREBaBDDnM/dW1G6qDlBik+IF1rZceVMGkaOUZq8KP85PDvTpzJkXStYqThWKOfYT/5gVSDyhvzDcppqmZrmpCeDGlwAFTAnkNTufoze4AYVU0gve6QXKBts27vhfHcHiB9ozjeBNiaG5sMKEoEPjQAMRRkR/aB+3aPy5+7EVOg4bhS7mvgI/QWfi9pIsS7YHuy36LWiBELbjDCc4X7FGYknd8FZak4EVrSsgYSgRPSvXAjbvuSCKeKFjOsqanHC1l5TQ8ioAfyg1UG36ujtgYRTAYaoUz6RrgesSGAmeNBWRMLBItFUd7DEoWaBs4dQt2ZOJnsfjZIKI24M+5VnogPUiTGYU7AWVd47R9Wbe76U4k+p8uP7U/jn9sfx7+3A1Zn5fPZS+2HFQUGGCp6yXnmk3PwfSiJ61KEsp6ez2+VpgZ98OZ6Pw3xVBqraEGc3HR0ZqJ1IwukI3HQWchOs+7vK5IIXNnWdidnLBnD5swX3LBzxttGvz/DBzS2XRMzemAynC6LGoYstzU9YfvZxqX3g8Tc0+SZYrCsR7ppyfd4St2zTIqKptiRO6XE5MMWZyJrvuOVhnaUabKjmrWoJGN2sFzwX1FjQqJe9ZtN7vzZE2LmUCg1qkGoT39kqM8VLDFqpudpAsMGT3c5M61nPkT6Fqx7rgmGPdCGcTL0Qo1/XtiPvx7/DzFOGEQQzjfsk6fXdGkCdbXaqGv+MffskBK38zDQiIaw4LseBgyWJAvbp81m6IXHApPE0eSyEys2cEV3mzHDsl0VceQ0GVUlBiO8Akp9Xxpr++vnbOXdj7JhnnDcnhZLRUexIAF7I0j3p/GP+nIJ1L65dB+HX8t/ta6OIgC750/Lcfo07YiU310UYG0d2ICuDIIUfeKcsA3W8XMdk4C38nl4PgHNLDwAh5be12/9sCqZMQoYH2zbN+P37fvl99rSitczuTn9/V7N/2cL34NEjjauEAm/0MTWTq+iw1A1kVX4nWyuJlK6jhllQ0PMD9P3fdY6iOlGOIjOO5L38tRntftBUwxkBPPaaOJMtf8+/Z9+1P7U/vX8V/bv23/rYwklq393H6uKfi6taf1U/u4/qjrrczq/UkJg0oW3JbTuULQ8Bp8uXI+g01xXX89/VpxsSQ1EhTFcdCZ0NpXB0/PVwXHKLrBU990JsE8FTcwXuSar0HCvia0YipYSKBu+uiYhgSalQtEdbvnot+g3+aPmWrzfLDhCXNeV3HUEMnDGzmHO1ObE0BMPBSry3sAP9NsozYwDUosM4waJ44+wid5FLlHJljHmGR+RNWaZgMFusHZyYMe7i+4dnfat/jhQkfMqczRGDqtXU5iE2TT5H3w+hXvMGz1vUIfi7JFnS7POf6wNE2z5My4f4HjZpAmHNe8z5gIR+LbbdMWnhOsa64BBzamFSqQjpBVYiNQloeo/0yR/C8XyHR9HA3CyI/ZqHY0ulZPqWIjJlDX+CI3K7s8ppzqdAjZWVWaXHA3XexV7SS8KWE2nsrFXiw7rXBBsL3zVMTQ06p9HD+2u8Vd++PwRwHJd2NZWGWHZ9ikIrV5rQmlIwbo1mTDRMG3LjQ4azpbkVzjswgu5geW4soHr59/w7FdAVSXtzrOLg5XjhtTzs2lpIEc4SjSy0k3WXSeViYF2rF5plxAEy0rg9ZLWcdxjOLoGi4iBVJfw/XaFWVEROPlRkUZou7n02cNWZ6n5+6DSXea2NdMBBMxwc/HZIMPNsdknOjBPNU9Yrjx8fKx/enyp/b94vv2x8UfFfbU8ah1hStxX25ub9pus9PUHSyOT0xNn96edL2AUUIq5r5m88KGK9xNve8cBU8+9nEMh7bijUddLt3rsizUOgbKg0+3MS0KeqGoIjGk8JCzbZMHRW9YvqoOxcyEKGJE9j+VKYWwOTtJYTyr5E3+/eJqotAdzg0fdacap36KS2pRAD9PmdDm//G12Yw1dII3G2ybUw0RE8Aqh5r8J/Wvu/gMo94rv+iC1QRQ8C8rXX82mvgp5NkTF7aVvDFxvfP1p47fgyWqyOG24jfY6Pvpji6c5z/xFcQdH1sZE9shPUU2vg7pWrsLDxNzG6sItvAAuhtOxDSZztp564lP7lN6im+r4jv3XPimBRKXHIGpSAltRKH2nuOn2+suJLdNv45vKE7O14jL3mrjzszkenlpy7vi7XFz6B7vV/eFF52KzgOFJzxDbiTUlxwBssgA7cE9f1z+2D4MH9qfhj8JxxN51teD13y/udeFfN4+V0d1mnqBDA0oHnXpiJOr0kniBvQT3hUcNE7OX8YvwmrBw6SBxVnH02rJvrZnFcTLbRkDUEDY/eie6MbgEoryhJzYyhmKM4WBKTQF5NPlU5/+8cF1UWe5qGkhXVnwVjqUu/Vdez29tqfpSY4zvLZcQ/FRV2fhnepID3Uk4d7xoMOxlBPL8l2LjKO0aDGnGy36+8N9+/7yffvX9q/tu+E74W0aVGWFbSrjJLxGJp/nx+Ln8Vp2b7v2uX1WV6JBy2VXR2irlRQXTJ66aR2sLYq2pupwGK0E4WsyKNRAALeg1UIFIQM/EfNXRz2ceh9szOOmMLPV1TWdbkqYGAWS1EsPGNXZcj+dRhnnqAw3wC+zKfJ+ObarsIyl8JLsk6y106YGXZHLOfReR0qcncDroTUZTgmcEyK5WA8ePqljoms9bmtoCrWHzdFmLYpcvtzKZ5G1xe/Kc5nWgpxUlGEbjKO8FbgerLcTccHnt4Jkpne9djZ/EbUNWeg4Dx4L0QRN/nbUyVHsEook5G5DPwrAOy4KU6drZI0V/6gKudUuDDc7nccFMjr1wA0xee62a5a0hroV0UKGrODiKrQefn3zAinCt4+VnWcUwXicQ5zUlpa6J8WxYKEIuZprpzdeIxCahUkjanuuYGC6sDPCaJQhUYdot2TRDScdD0VyvdRggYdHZqfnCrvPxLNzEzGvZTGi5bXxg4ojxGY6JziC4IcYL9hEVzZhlvXJlilOLh7S6OunU/t8/qwHLE5GMhOmK1iVbFE3d7gIi+S9E51J0afTEy5HFzq9qxBIOmndqYwvFm/axVEXCefBU5Gd+6YkYIfPBxViYAle3/P4rOPP/XDfOX/RvEYzz9CMzhblUjoD3rMMSOlwnAukYxYQCV0ByAm5y+dLEXUXm6JsYOs2vuqYrk2F5vqutfebd3WxxGTw/98f32ugQJf9epB6Ctna/q1iIxSCZaKxuimv6ZhnqLsD0LdGODZqsvVifVzGbhKcqarK03RqT+NTMTLI85qGKqCwAhwaRfcknuWqzDlUTFhXl5WGSe+r9/Zl+UXDt+CA6t5Ziw6MEktgXLTX1WspkrgOeH3CWCDS4FzdG5uBjnx0VI5/jW8ldCVhvH5vcypbguIyKefkQRcfjiP3UZuSnXY6rzdqpqipPExRNAMsCkfoxnFrShLAYl8nSHi3U6uICBehuW9ABmJyHmIItLcShu9HVDFHdpPVcwKNKobrp2GZVWfhVuaoHpZI13u7QeN6YmWngsxAaKpr0F2ReK6hwrmr/mc+/qkCGaMGgdsmhQsLc1wmHVToDp3Www2PLZpF+HGExhWGrpAFJzB8WzeO41gChMLZSrSsbMCYAPtnCRCeTt1pJ9pSLjALkKOaihwr1MC3Xjs3j/p9qIuf9l27EPgIVKPQmny05+gbowaZgjralgVB1/B6edVNyPFXHR7HsdHGHgTTOxc6RFpRMtZnLWKFkK2K+a9j5uVFhYMdOVp3JfW1Q/lacizGj48s4cfSfFNY5EI07PTanlfPKlaSazIVPm+6hX1S9uhy+F0PVnOBJKPc+JQUKtw3JwuCG7LQJRecLno4JbccBr0mugxRStjZLQndP+7by81Le//wLseY58dn/VyceeDKHX4+dNMRXLf5lSFI7LCCdc/xtBixxqwhr12+ldNNx6b5ekEfl4P4npngqkPBS4ATGvQlNizia5crWa7xd3RdfC+YEaw5uvh4R3b7tqQXJmbCJGW6eBVoYJVx2e7e72pzP9bmHm10MnUSNxHOMdBRbOrkfnOZhbSZAhfZJYyNHP9ZW8G8hUFjBOzsmnmB1HokcZIJMVDC+esj7mRIKR2lmCIQ4zn2M1E+G2/3YClZSL1Agi7h8u+cGsltOU06BpaPyFbnZh86JhszjGt/N2i2MEM4MtfrNBT1zgF9KpAOV8umI2iLqfvMu/WbFkgWuIrFmx2YrWFW8bIdfhZLd4MhmhG7q1URvoOdCLc5l1kt/56WWkenXRF6wcck9zts9HUJQkqxDeapo481t9A+WMjYU4E56aby6SORjgZYq51fS0FzKP9IYTF0j8GZHHzObttBcHapUyUIYgobraw0rovWPg+fRTOhG1LXd9l36ym95m11j/f3953vSNf2Mr6UYej+KIIthVUxmwwyhid1izriQN42pzHHhzgDxRiATkM0n8u6FvPagzK8/fjcH5QMqK+rtkNRuhx/RbdgzR2vFm/8rl2Yn3UuXiSWV6KCHHe9eKbjUtDSGoCpydSXwr26XynSd/hxaJebiwYVmJzQLYe0HdejPyz+oGvGvef4L2MDnJ44ymFuQcdvjbWOndjmWT/dncrZiKCZgUEuCytV179dq0Pid6735+fPKsDCBw+TbPZ4OF8PZXYLBU3mz7AIjtu22W0EI3w4fKhp8bjSvRcZGkt/Q0oiOeMaxYnXfoU6LnpQpq5wKBI7642NNQUmKithyTzIwBtWNuV0JlPeqTDm8I5577tV8R0T8avhR1QkZ5/gmOSi3cYU2d2husFt05oT+4Pj7XuRxfV8XgruothoE4VDuyxqHcf03r0dz233uuuFEF08toXsDaLwOXEw5PC4I3U/h5OlhM2SSXOrU8jCi9aQbZYblROboLY461upE1aAJNF4FsPHXEztZfFSG9u3LpCn28oUkZktneSs/Y1ypJs62GBWOdjwwBzsTacoNxYH/STDWkRoruVhp6MDEkI5jqDWAa+ZylUmk8pOGvXEThSBaStyMr9TJHTsNQ0kygV2GR48JS+Cb/l9pMNN+Lmmw4D8HAUAli/X4wYmn93GyrJG8DC6Eorv/OKHI6co2vWybe+KtyXj2eVSr0m75rGGWhTYcClfl6/qFtOVZoInmo95lOFviiR88uDLf0+hELA+nnSd1ZFZryxbtHGlgqaIA8wbTKwV/uoJbUjmcVingxT3EIpHomrdddMFg63ywOHCtHnYaFNdfb9qyx+WlWmM/A9l0lAT0awffgdE5yPHZQ3gErzGQ3KupMyA+D1yYSbdjGdj0vHEX+V6r8ovcvVQHZRI5/tzbcikUw7v6vyezk/dCAG1BwVWa+G4VKGUPHVVG+vL8KJry4YpnNm+iJkqy+/UqX+hsiT3KEYmEjRAE/Nn7+psYpyUzMBWbLzqOl0AdUSlERgP6sbofLWJGj6KW33gKZ3+MNQAuWCWAN/U2vVk3eioejmVNLItVMz0LA8+rvuZEyZsbwI6fzwn0yiJtrcfykCEPCBnOWltO9I5Jh1ai2ixbfjLR9IMvzKGYV5g9kHUap3rmDiLuWSYuQEdqp2huG/UnpfVSw3KvnWBZPIsO6LDqRcOTYcWtbBDPxEYHtdnf2pXByBlQMGRkgJ5bLpQ0UjyAEAKFrcPzAusk11sUcYEIe52MwVCvdZTyRGPK+Ev35+/FwEZTIziwwXhxoIHgq+pkwIzJTvZC1c68HVrnz9+LqPRB5NRyd5GYrhfS+YHThYjCTnoTKO6B/6bqTAcPxZoPDGjqxWJGDPS7aoNH8qUASoP/xaz3+fDc9u+bVV4BYS/nYRvMenlpopUjzSPgj1edc7R+PL+BdEeavFQKHlf0EvEAJj22ti0+Zyqq5aRAyTezVGRu+LxwQzge3OPKBKHGlDJ+bntVShjjKG8HQrnOKqz+PnmZ3VdFKCbDzft7se71n5o7fTDSbEZ5J4z5GMjIOiLrh2DCbqr46ejjJMlIzwO2uAEiVxqysumQWH4fPncDSVCpBandFVdk2hUsCHGZblhL0fRd/izm3WZz9LFi+u3rSkshid8TwZ3bBxM41kPYMN8Pzo2CgVrRmR0LOPo3EyrSlhbnLhVdAgLo4i92Upu51zuo1kBxAvbDYfiwvOj1+/TV7TYwvJWtsI7XqNo4w6lzQTYyi7+fP2XzRe9NsEkDgoL51HPaLwVKZzg4suxfbz5KPMXdVtg3/t3PYtJy/xl+qWEBmDKuFPB2T3XVFxWelCxwLGRTjpvpkcKO5Ijw9nHxaNgqkBtrCtRAq23zuksGPnX4sEizGd6/ZW6yEMaYfHhTxuGUCNnipQ6/sejWBu/D1GcVhhqAxgC3R8SqvG2V3Rx/ug+IhUMJcJH7pgV8HCKPjOa12R2PTtJ7IxiDyXsDjoQNAzs4CPvsptQpnt0qZK3XR7UjYC56SEI3cIuKsInTVzPxVXuzc2usjVYLAD7x6ZuR2v3VBI95TsvDoVxtaWOovwM/TncLzTgBtC7RSqvmykfr/WmDCiY1lN8M2DguC/O5OlUnd5Y2C5u1eqEV+e6VqY4iZc31SRQprNqCq5GGJmoJ5pWv5+vetfoqJWct7zoSKouemOem9PmYnWl+IhWAVa5l7Gz47owiICi9HTz1C4Pl7b6YdUWf1i0yx8vVYw2hcfGMgstM+5QsBNwGAfI1/vg76wRzjAw1CU2D/Foo8qyPyTXPZBL1pawWey7GKbZ6ksqDjwg7eiuDWJ5rHWkCO7yEIw0MVy8uND0DBfDK93wYPTPZgO3xl2Y4sEJoEgpeQl0bs6/mdtxiRrmexYsUsf3oRRPulfmQ+aEllOTnimzR3TyorBznCQz3a5RIXPnQ7Q4m2XwtQzwtuttx/0ZsImH6aPty6XgB3X9UJHs3E1zo+P+ZPzQjAMd5V2k8umwYW2wdOY5genazlQv/Xp7kjI3tp2bDn/VPVp+mRNlHxAnqnk21NF74qTDUPhbF8iHXx5qKLO3kwtmAMNWpOZkX1CEOG4mi0Y4EUchBiHoohdFC0mWC8dO2ewfitISQ0wddS41hdY0EqODcVOdJN0pQUO08/vCO/T9wUIwWG3VUeR4CI5EIdfR2GE/oRcofe52bO2htenPZfzKlJXjwv7Lvuz9D+/CLznydk9Hf3a54vJdD9zmvswZpFsFZN/XIOnD6kPb3mzb3fd3MqHYPeza+FRT4bv9nR6mdHlQat6WFRjPAxx6CkdEhjGigJyGdnu81XuWYakDpCgAXKdMq3nooLLEVTsa257+hzEDm+1NWbTh5s2KUNQrnRRQB4R+WAA2eBC2zFQZ/iTHzU1RPIBgiO59/fG17f9939b/um6bf9+UTyAnDxsdaJJ5vLS3t7e2f9m350/P6rLAsCQ7PFz0c7lPKkrIw5BzMnTAzmo4FCwzrXSvNQQxJY5uj01Hw5lxXfQViMovrS33y/b+UpN/zG3V+bzWsElH8bG06OB4KjJO+RMRfbkvw+ixVeTB4lBYNp0l/90OIt5z1NX6X5RGvl+781KT8oTA8REISCR3P/C6tzhdcSiAdkOiIwMysD1OcWZvcKrp7ukcUyG6Ly5iCcQNSoTr/dXRKoyFZOf05oET3KHwQYXA7e9LbomyZjjJEITnhnXEe9Hx2PJFGCJAVjpWg6uidDoX+TxMDX5mdODcEwVxgdtO57Kva+86gSVOYo65BnOOPyuvMYWR6yaql99X3PzFkHF0byAM8VoZ/i2tFkLa+K0LJEejkLUlj6SzA98xvUNtLQt5qIFCPuf2Q9xwmcdiwU/7a8qBXLsNvFIgwd168Lk/NCRYVMqbpmvgFBwVDACLuOsURX3PyP6cVS3HaZPF5eSC9pQj8GqowLDbowYJyvfliGlJpRbe8Fpk6ZjHekHD4dORFbngeCmsCycgGP6XsQi5w1qFfb1et/XtWsXofF9BTqJd2ARXLkkchUwOl5kGDIGz83wZbvG79ebJMlGHeLajsx+WKGYSORE9vGgOVhjouHWyFAs3b+NL6YY0YID3yoSSJEdTMkQM9vFFOzGd8aY8K98376IbsVFwlCGl8vh2LLclX091P1PlGFPc4UBKhLA/1QCBgT0PEBEB6RJmgVrqAu36wtFb+TL5e3dHGrpxtHIYF3CBumjUVxiUHAsaydG1q6Ywe3D32eV9xrHlkGPLOFFejAXqGG0XJanIVi6slmfqtfl0JBZB2/SceBVixw8kjIsThqhg62vkQig0idfoxPHL1XIwXFlN0zHAMI75Vddla7WID4SRTofyu3RWd4xWMjhaMfDwJ+sACCSYdJ86s2ysOMopsP/sdHiX6/rKtY1hjMQCRDEYG5xbv3WDkZmpcyAI7kk2sZgda0Bm+76QxiWltHBlenXy4bcukKgdIivSw+QKTxclDIbjDaRtvPVOZZagBQtmeC7ZkFQrHJOsz5XjymJZuAQabYBuUwZicyQMBbDXxNJ5y6wLdrJK5zwp7AeeGn8Mhw3ZIaFfOk6+VQgTk3FeA5gKGOb5rgT1OoK+XfQ+GURdnmoAwtEW8f/b9q13Ykm9y+86ojluge/9/ep7PQg/tB/EbXz87lGxmJcfqqgEMKYQ8JDToUoHTMFn6k2XAJmWY+bOiwqy/KYI5TL8uEAwc46HnWlyf2IJxUQf81oI3Q/Hh06lEBZL7MThXYtTHxRKFjDP4sF4IFy3aVAwGBth1Cw6RmKM8HBs0+3UFj8sysj4YWiXu5IJvr++t/Pfzu316VWd2/LXZVs+L9v4n2NrT6399T/+2l6eX9rTy5OO8gxBdL33JV/UYmZjA/fiQVmWkxDDMJn0TiutKeGC8PMWZ8kd6dLk+IN6hk0RT81dHZ3hhAK9MJRR0WegMo1Fp7rshIGJGH9+6VpshdAtd32yzNclqrS7W8OtdQfP/dHUeKwNPycKCovoUMO6D18SIaH42hWET2fy2JAaU2dldO/KZUhuSw6ji366x5xgaTeV4izy14RydR2ysTvxFKfafPFDoLuK6bGm6JuLjJfP7azryev/svii55EQta6LR7I4Xq3lQjcSng5961yqokySP28+1+kI0cnpJMYCa1HcXhgFa3Nc7f6dIZ1wX0497O9xNOI5Wpulsih7N9HMTtWxzzclPbPHcyVMgh07p+abFkgJ5+P6nfG8zVP1/8HappnXHNNSi96DT7IgE2IlswYrFJJsFqv9fHRDTKf/xeosvETtoM73kDu2MYw8WOykkZFxZBS26SgCgfiQwreTOkjtrHQYh2M5VOPzBx7HBJyuYaicjM5BM4YTByO9H3+yMFnM+DlSIGX6ummaGqt7todiXE3EL6Nbddi9cBsD6/1ag2Oyfszr6mmFToiLj2KOKCmeGqjZaCFGtdmNRaUwrqwONaYfpjfFfUhMBEsguZ9ShVgBpEWNsGmzKE0sCxVD2d2xHZ4Obfdl196e39r6ad2WL8s2PA3afCiOz6/P7e39rbBJ6CFAHxB9IzOLXtrWWuo6En3K2uNBv1zvu46F9gDsHTLLicsBdICHKPxF5LKWykq65ygJHT1bHevzM8UVHY8VPG9TYXU7YGXDLA89a/LsdfkbsUaencRZpEDGFgzppYorGyCCCY7P45XWps3PwoQMpfpG7UCseGsGH+28ypm/ZwLc0rWqizuVpj1dre4xDIt2rriH8CZnJr3pShN/0SNB3Gl2s9s0O4vi5nKS0ADVR3w+xWzhvdiNXG5AZo2oLjA0wpndEl+ZkICfg/mbU5xnU884tLCwMvw8dNcm36dvXiCT+RwjXPAiFghTRnHfvMurgOxnQvmZ4zb8LVHwOE5Cyj2WkzKUCX1taAImbmM2kahGHQMIrwLs9xBIky26Vnho9ueLcgC8DqKv2nCiCJYlfNc0maP/3UIms7/86y8yKfjl9pfiI37alQce2Ca4xmIobe1UxxcuNNI3OlCmn+ygKhZgqvamE7WAo93mrCMXmCOdql6D7ImaugNMY0UHSVokpgDndZespZOKW49kc3dbFWTMUFNgO1wx27xUMDi+QMlh1zzYdTq+hw5ql/ECvEn4ZIda/HDY2CDiqs2kVcRxOnVL3FQcbEKL3h15J53m7ettu//Lve6pOGfP53Z8PQoHRH72/PdnucD//dPf28v+RZ1EptLSzBszkvAALJcwJx4CYhjAhKHkXCoGVy5EbHibQXSl7sC9t0nr+diLLt/zaflUmB+T2MWojpjNOrETdLLCBenOuYwYkmMvNh6K0rKrCb8wvXW5MPH33LfH98cie58rfxvZZIQU/I6UUuqqValR3jZv/V4ocuPm0E10ZVW3XylwDpu3eATI6QhPw9Wb7hnDsXhDauL/+qb3CR+YZ+N2Xca0kq6ycV9WYluIe2wvTyls4Chvj8LZwX+5Hl9OX4oLa57mp+FTUYroCHnukEk640jrlk4SPTcu5ibMq2BPrWJQMGw+l/9BCPLa0MZT26/3xVO8m6pzvnFDRC1Hbvy678YrMcSmsUGiHPVeCmJcikQfm67H+vBuuRapH9+0QEouleQ941gpmD38ymP+7DC9G7KBrYqDaoHxE8fJRnESpU60lzEbzc4ZCkTUHnyka8gx46sIWsT2U4HocosxJhRCONPVt9s3OeXA0RSOxMOAzbwXPt8rXZoWNAMTukXbMinY3omCmU6GgpBpqRYjE1fs2qB3oN89mLjLMS+TW1Mj5HRt/apkfex8BurloWhq1FfhRAmJ94CqH0/88Ov4ZcelfF3um0LtHWur4mlzkXTEuk82l50HtGnjvFgQgBzvVKT7ONsI831ZtvFtFHwx7SYVS+SETO5xvon0M0fWeeeYTbCfGnw0Cp6WiNOoRZJ+p8HKVAO+0FykOTdWl4cq7lKi57CuUDZ5gBjcr7Mm/DqimEkHI4FB84Y6zTpIR45oEzM+yPfTyWY56XjYnyV3QdEfqwMGU45QwbSZTJF1WjM7Quuc4aHjUCNJzPrTMxdLsswFvF5iFJFuVObAC+N6/jy7AIfEzbOUDXh+2utIpzvvrM+uuovaxv9WzQ6qG2/w6gp55hyyle50boKb7jdfr4FWPBnsDNT9Z6O5TrPI7+aD/i5uPjf3N7rZhLLnxot3B1UFTp6HN/qmTBnpPpxGh7NL+E/zI5NoMsRytnddAL6GB4yORbgN5gMZ348VECYJHhiRU9JkbjDserrfh/GDpt7sFOB4v+5/bc+X5/bpXOYO+p6rRdvf79vh4dCe7p909GUSLQdkTDje6tigTpLpOEdQbKqqunc+Xnwrw+ZXuBCmDofSGScYSQ7ox1N7/vysjnH9ed2Wn5fqtvRgQQGhGFp5QVfFJB8VTWyn0pHLQzNGrUytkaItyjIrpGBp5E8HdYEYVNDRyOHnN4C9HjpkaRxbPfTSQ8uzDF0DQ5HFpX2ePncCstAQ52SDG/Lrcf8oDiEdMdcApY2m6OdBmBU46Nv+TQVx/7TXFFkGpuZkZqPtu367SlpjBiIfRpyEpgpv4+HnSL+6WWmj4xc4LT9bg0K8CR0Pcne402YE9qu1vK11Rncm0jfOQRg8rI+dE6onw9JUXrc2ETMKKEyn+5PMRkKPkWEs12Z3ldPpEzhkmKSaYuOl6wOOAKuFgE7+DScuMTIGR5PaVo3vJSUOJg9sEOjuaaw2pRmXdtoPHQWC1ykxxOWlqDojKs8bcYOZ7D+eHutIa1hMa9aDLU4keq7B3zG3PVUnL7ONhWV8nB4cdCe3q7NlmrhN0VnGBcp+rbwXnkW4vIr/XR9quEhzFeNeMFPj93qfbMzZEChmNKEoe9j87B8AP5RjOKcGni+ZWe/rBMA1lZVc0j43dod3BpFCBX+PAsli1CI2E1+7JTcTENR5uHrD5hoq3Ivuz5ZDmeCpk/RumR0oRhK/jaHsUZvsnMb+uBHqzMDu4F0u6mgS37iM/dXCAxI7mEvyOboBwwByxV7WBEzHRS/8xY07lp1jZCkYCH20edUmkCNNIm3TbXQTD2fyfIWpOr5StBc4f9YBJz977i0ZI9t0af17A6lRqL2DdpVEolyTHGjXZAH4Tnib4y59QmufweiBu31+Ogzv5OrYE+rE96aDBZNj6MizdriqimRyerjUdT8d6tgKQH6o4s8m0D37eC3mjHYTWHMCxZ/1+9LRybGvPTTNBQLyd+6pCu7cMHWyft9qIIH04IDQb+iYfPwN9SV0EU2BF+7+eK1cc5+YAoeoOwPjltDa99eT8sSXxsQlnXs37jWeJ38BuKwO/tLzwqZrA2lp649VeAI96TWwkQFdRavspE0xSmAr2DxFfpZE9F6K6B+OoWSNYZiYu6j1yLU1k4BCdfZGJHkl6iNPnmMsoZ8LdcueCWEDZKPVf9NhG/YST9Ru8fMcmXhGamMJluuTZ15XCN/hXOuxSEwzhdAnnAyxOu/as4L+DLFWpt+hQG4+bLrBQ3YOWV4RpTnNMqkpoj6CRnMad2swRXiJAqYpiFNpY1MgIXrrxhlwpTDJqmm47dnLvFGFRrXZlHGoACtuJriXAOHzTq/zl8Mvmnbyb+Q0gw/kuKiYy7UTz5C24dhDIXxobXgvXiDdGoat4gci4KCwHZvUBqKKDKeKZVhaHXByB8d1stRQUzmHWTEVliQTLO9iRRBY0XBbEIA5gKhr5BqzeC9unBUTLBY6Lz1kK0djnkwNWp/0dXIMSjAVMRWX9/r/TvXjVxIi5VCNlyJdqtUcIfrq6KrmoCg5IY7z2pkKawJK2t3hJA4bgymmxLEBI9YVyzJ1iqfSgvPvFTh/qk5O3RVMApQYYovboZyNwhuS7NuGMl/oUQR2Y0chgzM5QyN+aVPkvhxKTyxppTmvcUDnQVWwGS7ni+c6wjEA83Fe0Ml6rUK/f98LFgA7VdyDp9RQcFQg6ZTAUHmtcA6BWs8vVSStb6fgCdeEGmQhhSbebxXkBe2ETpfJO90eROpwRnFTByqIK5S4fUyMD1dz2og1uH0YznIaEywTT1PuxeWlXH4wd2EgCDzhwipnoVNJMgXxHKzUcmF/Wbzo2hP/wQYENslpRB4BiBnY9PwcyhBjLGhF7t+OD1neLCva2aFjMZ5ABSYIBJ8DZ+jwoVODJYkqaidvNqwDOwVpc955DbFRGa5SjhJOQRZNBAoQ7MYGjmPT72FWEYlSdvmODboVztRKLbMxgNgThbOVnSZTvO7IYeZ9jgtf7RCoR+wtqN3A025NwTgu+DNgcdy+2emCGalw8+e2yuo7CrsV5GS/r+AbupHUHXsKht7TsSkrVBR/amUDH18lrA3XYREPYO/4+LBLEA90drr8XYoXC47uVhNNmw3oNVhz2jtGQxvqWnipOSa7g1IHOYsXKDKAp72JjrAVfb6/pJLGd4X98FD5iKLvw/UysV/X+r3C1ziOBatjU4LP2mkxk8nBwCrT1QFKOmMbnnYAIPfD66Nr34NR2rK/x7zGPCW2WpbyqeNNV+r4jmCuyY2OXl4TY3eDsbnredPGnoVzWnmTKbmcltxxqeNM2qMnrPp3OWH4Huu1HaZSaDkrPZ1vPFTn2HEKJO83XMjghnOObDrWvI8u4/VJR9xMc0nzdcHqEqwmE2h3phNsEK9tWAyK/sBZnk10NhMI3KXEQ7q5PN+8XV7K6OvAh0+fIpvbdyDGE2EFROMdnX6OxKH4BOOM/DKKq7gAhfamdcV/G1/vZrztdyiQu+eKnmRBqvrjSkLhs9uNsMgZAKyH3kcDaaunItmK/0dsg3NQ0harbbeZqAqI1mPtRHSgXHCOxdwgJnHwL+kAYrCqbgrMzDcjVlyJI9XzQbfEQ7EqNxgNPH7m/NDadDOJ00cIVvKupWiAunBYq3PI8Vi2WctDe93V1C+mu+CeGrIQUL5aiRfIkf10VzZRemjIbD4Unge9ouOHxqrghH1efJZsTAOjtVUuaJUJFuMSmSDfA+eZmPOA4cBtQn+wTDpTHa/G6prgBWZTSZefBRtoQJAFwzNPKTNwAwJJOJdC1l7L8IHroMnwZiyT2s2i/dp+bf8Y/qEumOmtBiRnH2vNhNBxkgeEILBtTaVjsAwWxs8BJ4zvX2CTFEgNDGwqrGJ+qOFGCODChtkkyR2aZWHLxJUHjSELgVQ3dd+YHovIjlb/Uvw8bVCYjdg6S1013Ts5bJiMvFUyo4ZoICfQyZjw3l7jEcLcEK5NwcKr9LjX/X87Fo9TJyAXTHlKnkowwfE4BYj7LhccD5n4d9y/+B2IdgVTA4kh5hBne5cOZdbClBoDDkWDON9eDjkwCHj/4Hn2UUxsyoKf1cb23eI7rTNOOzAUmEjDdaSbjERS1xirQLpnKovd5CVdZagF1npqbbVbqWt9PD4Wn9Vc1hT70HE0XItzz3gumpCJ7ul+M7QVtkj0LLDE6XBtuGhKl1fZsF7rP3HG/q+7+eyrE1HuyYxXFOt07QYoV7TNXr37Ik/LgyBsxK4kuunGuHrX6I5SDyrxmA6morByfMB0grZfrth2uolPXnYxYWt+iJIrI8oOk3hrZ3uwUxQYTrTDzUQ8SIYhwe74+rU7SvTKzi8O3yyTYXGweOM35YF4uS86AqB6nNj1HuFpGWPU+3b3moFUdts4mMQKKu4t6Ua0I1qkL+yRTZWpoLvIfP8YAgiH8/XRscMdfo6unSjs66Iu3NQh7ejGezJM0HtHEnoqrAu1UYq2KC2W61Gcw3WLC3bwpxzl0sHyEcOPGOD2LtI2YvVFtsnaW1fuaNFwPOd63SgzkmeeAPqoaKS0YUmczA31mpwrh3Q/bMTAEEU0t8O5nHOc7RPliDZlT2ODzUlhAi3qVEO9dJ3xTc2z0XHUBIvZ9Sh6+H5q84lAx0a02zO8c85oCHNjHpMSv8xMxlPEg5uGm3xaXI2a5ZfK67GkT5s919jRDBn29Djk3M/4qbIJG0fusczuYPPnwTnDaomyJmF5ogKl0fDkPx6QkdtybTNAznCzsyKSKf57DGneXt46CCug20dWFiUX+366LzxuvOnSrLjdyAeO/Itpr4Un5cJiV2HkDtMKgZk3gu6T3UwP9WKULTydI2x+uqu/DH8RxsgulsmnaCUMhOBLtouwCMn9FhXjgKpGEjqMM6FHLEsBI2yL7pKCtZ/a8ddjWT49na58yu1KnKv1prwtIT2P72O7/Hxpl9d6mLixdFBcl+2PW+mTj38+CmOT9pN7+F6Yox4MHkboGX5oRVlZVUceyy/JJ4/nmkKbm6ejoTFDFUWKMUoeJJOExu/YRmsji3VX6D45tmRoEWw4D5K+r3+pqzvvqmtxYFY2G6X0WQIn7fzxSV/L68xDTwfMSUHpkaujCPgyxEUDbdNX/r0c2sEcfWqIizgdTxRPgSxigqzrRmEC9tkX1Sa/IiENAVz3xXZ24s+BmxJpysZLtw3dZF90E66x8M0VtuTeFA2V6LiKN+l7RRbIN/EwtS/nLzrBvI1vRVvJUMMpmvGzRM0U6aeegfPL1ebMG0MUTpHZyTuUrtPTYWWBp5MFKiEqY6woDF43Qxp1q8TA2sAjXp2yx7O65HF67Pk8fA91ePZgDH4OHrjHW8Exujr6Uhh5dvjk+zryOdnmggecjyO5J1pyn1ICk3B9FCiHJZ3hpQxpMNCWVv5SvpwYZ2TTCZle2v/bGe2MjnV/LufyvUnlnEhdBXW9UP4c/Rq8KX7zAkk3EV5gKrKOk22tYga4zGLHP04Fzx1SAPLeXc6wOmEs/kxHk90lrikhDIsOxHGt7bq8Sw+IcytkMMq0+lKCdz0ADo4XdxFTjGUl3gVP0gNzYxoAqhrwNpNYA+QLa0G7yZpzNyUlEMWLYntzEYFXx9ejp/b3q7a6Xel3dZwcz+lueC3gVhRM87KyOagA0uCSuUNGijucaM9NCyxCboLcRxsVoOEldtcdezC4WM+HXK+OjWmpA8+kAYeAa2WQ3mc60rLyrvvFPUFGBmGZB5Yu1zw24ZwEZ9HZGgcEQuChi5Y+a4WPWFSpkJgRkEFZNrtw+vhQ18DDiNM3JhqOwshxOcOLzuOkQ0wka04kcR63YUdwWR0nfRoI1vjVEc9O9lEkafM6FX0oKp2Y5eoU4+5W8MG5jtO6BuGamt7Gx287574pGhPMUKL7XU7ltK9uy5ncUgS5ACarJrG8RbioTlA4Hacdh+ppsm/vTEUtrGp6rsk1LAM6fSuULqy9dOu8V7DmxVU7nc09Q9QuAfYwV4bOdv+SHZnD+BIyJ4zQFonp7MIjTjpiin3n+Pq5V7fP0NP3KpHLikFx0xJcW2vMDcLv0kFqGopR5mLbA3QojLIYaw/tY/tYBXK6qR0gnUs71UDHeRcyXvX0mu/JUZmjs3zuTBDPIiIqNPriyPr4N+BrwjyOV7K0prsI2C8HLXzUHcICt6uyk9+MKi7JtZbt0c25HT8eq2XflqnB4bkspuT7yOUZHZl6UzdbmSK4DzGM3J6qQH5YtnE9qrvgutx+uJUxxfaHrVQBlw+Wvf1iD8N1Td25wUzq2Dkld8N6bFrreqLa4Oep46KoMOQZFz2aNdcE7E68ROzorBdWh2VzXB4KmSjgrsSnte9saKFfCSMcilvGtRBKwmbwXsFpdCYxP9bDxxB7MCbE8f9wrOiM03vt6sepHrp1fe1qXTSmSCJ7ZxMi86Wpw4p0VPAKruzjJBK/Orn7RVfIhOIV0naiNoRrW6nRieyDTxFssicTn503DatA3fNoft0SLWvp3mVoixy1GeoxNUvcTtgI3oyEVZLGeHlXcZW/AMmcaMsxFbH0UXxGH/30Oscr1ScEZuSgmsLO8p5VeKi7zIYS8YFkdTRejhnsstQtordwMlhWXEbHEh1XItzaOTLYnFFwMTmmSRAL5VQGIFynKGoWlljqeR4n4f5gkKjCGCQKe+Zn2nBGG6uLvlIvwXR96uFZlHGyA/k0PLJGWkXPm0hybfgZcfSRJ6XNaugUA6tFF472nvcTU140+2JGGErLtaH+/C4YpOzfLTNTeh+ga3zx4jtoxQWUGtLzMo0VCRePPcieHH2sm450L9rV5EjkmDRPb1MnyTFvsguzc3WDOaWF7zeJhzBC9xl3KrtKtM88wKIjkF7nYZGmd6tlZVUvl0U72ON1VQ8PFA1oHRQ/5Xpj1LpaSoKoeNPv79rqbtXW36/lsH28OeoYoGEC3YaBeDidwA4KxzJ3E2pGeHFyWjYmp6MB0aaLTW0k7nry9cGCs0DVvdvVhA+FjNHdDuXOEgxIH958onHO0U84YBx+UKiYL5i4zvAkdS3DE8yUna6CxcuDjqzUPqKZxsdAIUcwuuaEs0X9ETcWNaIwg2jGnBc05/XFvSjdRmdT+AQQzDTO05p0exresTr8SR21q9c+FQQSVUkcwSmEGg7a9kwyOoq5i78oWTZO0K8oxvxQ5mQVw4qcnEIFExcYBZmdp3RSYc1y6mFNI/dbFuFa/pSemucZ1b9DGz3Lb9FAEhjDHoycxFIodbQ+lDRQwotx1+0KL7wfU36UKIgLFoopmqPjpquUuJese3WnYw1O+oAvrANOFsfrWgrNLQoZNS3u/GOY2ynEOR24WwyOqPd39nUjW9yGGYJDQqAnVoIff66BXX9GvnWBxA9P6WnDttIE0ZRyfOZhwVnYZGze5JfLl4olNSZDp8EDkBvFf2tR2Qg0YC07BEWS7o/vzXFaQCyecvzsU03fmDZGVvZbqV2oIznORJYYED0xsZGKDbfF1cKqTHiqozUZrshyiikyu89budAwuZXbDdP721Emu9vNVty5x5tHmeF+9y/fteXDsrV/KYNOdYevlzqacJ0OOxGA4QrOaScyDqbTxLjhZEd1jsAZYA0LZUvHEUm0mYM1yS4+CierJ1IPo8B4Sy/BYuPJF4xXC807fPcO9BBHU3+bj0a1pCM6MRQ+imsjY2o5M+dNMU9EBA+VOgWra6K71tGIyAdym1e39WdH00vO5eoj8xCKLsTwU2XqpEgqXtUQhV4zx7UMKchftw9hCqSGcDyETJ0jhfNDrCINhufhYvBDig7rkAeMySsYuLrKVWW0cA8x8+1rz/GpgnRgVdjFWxsg2nqGCJHk2VxZUJAT+Oh26SKFobtwymADruh6r2tNZyWaG0fQGZUodnKReepYeSq+YU5mYLukOgYG0GR5apokKwwO5cyy8OqFHf3VcV62nSDOWiADSo3O6aTnQ5xMNzdcL06RfVB48vqFQQK3leM7WOPqtTBQoJrZcTv3V92r8dgOT6QJ8i/5TA5rOejzS34CQrAslCCbCVYLjBFjub9LgeRjru/lWCFG/jjoiEzBi/KAYsrROY4cMhDAOMDTN2g6OpIEJ/JO3jEXT2QlWzIHTQ/EVKYK80Cf306/u+V6dN4mikoiReTAuYxMZW/mB0+TV4Pw4oHRrS6rS9YuD+mYh+p9UZrivO7Vooxs7z3d3g76/fIvF02w2/e+yL8u2/QytfHXsY2fxrZ8W6oThYbB6wAe0MJguusM8eAswaDS3SkO1jZXLCQoR9KwztyNVMRs+kCBVUQCNmjw/XjNwVajm/UUNTZY+4M7IscCpFMUvYLcEufVpLvJRhc8WF9DcTtXlo46FcsUO17EkY+u1TiiHIKAY4AO0iFwT1Ga0EHAEz9dlSeaevpTPMtZR5aCI6zbOFzWbjZIPahmBmSCm0jV6IKTWx1zA/6M7lHSO0M1iuwwC0EPs/HBbB7JqAn+rudkpjzJhp7hS9YsHzKxhSfqDj82aN3ezs+NAua8wYnPCIXHnWSoLXOOrbxV201NiS0dTZSw7NcWk8QPSyS162psgDGEOxtT/Xj62A2NFQUCpMLX4cpuJVT4nGGKiCZnVoVck5z1nu5beLqLfaCHXNuuxTY+rOYoShqGQBTftY1NUEJZqZYjdnD/aOd/nwLpHYQHiemWJtXjURdSqgQe8uY0QYxrPZ3TgIdP28ODYdBNdVceH4tz3CqmkD9DgTiX310K7hzwToHMsXEeCRAFQ/h3wi8daRBNqC4wgebntfAlOgkC1ANIU8CU2va6aO21wHHJErkhtxfl2MiB5MMg/8nLv1/adD+pcMKXW/7Hsl2+XNry78s2/TLJwIEcFjphHeOIWvBikxPJLOc5Mbp5zxTIOZDNbi1ndDoX5/jIB5Fu3ayAXiCxZaMjZuJLdxMA2xsNBhJMoqWlZvrr4Yw2KSzj4Kr5OKrdG6jDA5UICXqGM53aaaqHlY7Tiz2DCMXELmpz5fvj0qNM9MW2ywtzFI+SQpQRx5JqyOdPuX3HG9O0sBTHjp/Z0j/uT3KZbodOXwotKA9YYKEMBEPK5hpAM4uETsOm30QvhCYVsrYmyz4JZGgiaay7+xTIsENEqrcFoGCWlY/9ywqVE60IHNWySyb9FCndMwoknfa5OqscVfuE3IR7TiJqEqwvVyrn8Nan8Oroh6WeBSWMnmpCLtreNLbvT9/r2gM1aEO4qdeaBEzdn2OxFjLAkuoGLiwbMVElJCV6s9fziiemXa30bCY6xq9ZdMAkNboJiIOQBB0ExrGxHetYLfmzO9Akqsr1afgdCqQeNrIoDCLHt48Fw80XTqZpfTl+CCD1FLbvBCxsXFW8a6RL0FHcHDB1Z5zYvJPGMZjvGylS17baeSWWatGk5jihr+NBTUqa34emme/lAyngmkX83mSqC+WDY2F9cS1MdY2v1UFC2I5CQzI/O36r62VN7y9t98uuLV7MZ3xrbfr/TO30y6kd/uPQdp937fXtVQqMmH3qvfBwZyJnDz8VBeuMI9MSoM1ioSPmQUtEJ8YMLpAacjSnL46tirylfJpUctxbnL8Kks8EORuhsEZrWYXFcvyb6pj1fi5zESli/D27Oihu2TMnaC008DTLSNMtRf6nIyhUDTY67kcW9pwLh4rEjtXpAuf+kLWYy7xBmv9FSfzmqo45C6Mf3RgChDqFGTBrysc8vR7zCyObi4lGqFLipvpUpa/nGkbR5IGVMp55fpAxbtZXLT0/c1U/U4MyhiPninAVZ5UgOz7P9X44KlMU5PbEMGPpqbVhhIRkJVYVXJCf1btcRyNIb47h8fJY0slVYdvRnytlEtpeK9pe6EbByJPvpGuOlNKOVdlo0qHqZ7Epow9nqmxXeRHhzQUNLCF8FW9RriEwy0wREzw0m0KGWv2Tn7u6FN+YXHvkzs/lEyEiuyMmqDNh0Hz7AumbpigDe+xpZxgq0CctvrS7xm263ZNVHlmQWliWO2Wqp8IKnsTRwb6Dimz1ZwpoLkoWfjBKFRWO5D6y5VilhwlKEDiIMRkdXXe14yiygU/yvt9rkt2t5CNPeq3imQKpLor3YocXPUQcXykUh9Z2v1ZXJ3wHq8v/s7Xzp3Pb/3Uvb7u33Vv55cXkFdt9L4hIM7tcEUqNH6auBIAPyFGNr7dDsqauEf2bPaDXbhMHLWrzxtLlgNnIMiqkXp5xF6zeofMtVtfNURrhqXKHuP+SjJ1raqqf7aFajjYqkPLULdcVKTM4KcTOzGTiFEixBJx/3B3b+WD/JSgOPp/NcrvZsONAQ6RGFqejt6koKaIdq3aHqiGUDY8jM1UXyX01TihqCh33alQ8agwe5LiDQixGCaadpBHohiPkDc1I+Az0tHGSdDqa32e8XYbQx4IV+iYxFbNBA69DUc40MLHhS7/3bHRTXYNeIBebcs+BimOKTNaUnKvWJzEN5LpuI5lY3eHBum5rYYspQok91uDVUj4VW0fICuumw3RXnJ+ZuiAvTk6D9jlVJ2g4S93z1vJElG3H6gQ7Zc0Dtlz/NDtdYsz7weXI903BcKdLd1mSzJJBHFP13+OInQuY6VifWqLH5VhAC5usCfPCghVGvZGiAxUo2EEkgpnU9gVmnp086tblGygM7GRttjuCGBeId2YOXXYc/TwWHcoALMv4OzoSfsYXUyv+s2zLtvttSZWINjhfZBOW1p7uEmI44VLsfuJ2DYu2+VLxDbLMv520yMFVDr8Wf2t8HXUsH/7n0E7Pp7b/ZS+zhtd3hyu5C44zjCyrUFKAkUFOBttZFnbI9Q/XK4oU0Rycd6wb70m0pGXjvmutk8cRHmQ8CiVj87BDAxZmL/a5FMhPymDcauzik/uumjUa+3S3O1esJGdczAAm4KwHH9WTS5IBkIqVcUweQK0xjpIULAZFNsDQenNho+gprmJ67/c69DMGBdyXmPpmw+upe9YRi5gPHw/TkngaBiubxVjIcGG1FE0lcrzNW8kSMZSgq0qnLOu/xUJ4uTYMCiQPGqmUy6Ft77fdyzH3KesAZoTuEZsE2KNfU+5TOmRlf5sbzGuMYCJaaqSxsSzTM7h2/PBqU0oU5H+rk6SHeabz+hlGSu0DLelS/OCYEvMsYvQrFkZsy3xCXO+szkGyCpaIKMOdZRRpabKgpIkL6Z+pExsnavxB7bKkxmZ5hUxUGw5XOK57xTKU4t/zYw6XbmSsrCQ29l3h3XqdiyYIpxvffMsCKWZ8xO32kUvBU9tMl2dypyzwofHYQmsOdKvYXqqd7w+WjUCjUor5brpDGc6aBhP6RjSiORqFANoDkIKvmTnPjsTrYPeTzvu1jnnLT0URIOdXQxx7/1HIggVKrbEf9XeahtF1clR8rY4Fdj/dpx4KVAhfdvrZ+D5CCRr+NsgR5vh0LE/EfRWvPgSywUY2BVEkbKAgHiYdwrkefhV7B0vF8io7aYqWsMnlrssbNRW0bX23TePYYS5ZfpcJqbOC1IkfTOmJSUSkcTmiDv5zF8cYFcirEQds+xVqk3QRiIKj48e2OUvHxWvpg7ro5zOs8b/R6YLO0IFP3faLo6+pTIkBCMk6w5jIByMeUIe+ulKUcupJx6L7wFobR/E5K1lmW446p6WKozZNY41ZmyFZS1vOv0dPv1y09XZdBdJyuaxzdXkX243ZyKMeBWeZJ27WxHcRuz28k3MVWnnoccBexL6eytZNa2s5lXfmdlUu99tTueCDXWOtdhr0TAoG8fRaMspLrUsN9laDZg50gaEEdUcd8Oh9PQuaHjt+N1k7sT7L8yT9OBCP0z/1DPl1x0A7vEvVCe7BydfGtmWK9Y30laJs7q/06Pw7Tu1s0ny6KeBDPEkas29dIAWezyZ/ffpn3IljV2zYVaKiNbbxQyIJgjulg9HiNdcqk1emaTwATGijv4yCRd0rxpoe84uHheLBi1rgdhx7rFbpelBP17TQnh3+DrZEFsjGksXDqibLxwqzEkY6A/ezMHQtPh+FMUKQxpiTLpoHBAqIuqbPRx3JMccFc8TUgQdKgn0SIS+b2mWRZtJ5rqpTVndJdjgP0uUiekmfDprWMccOu2O7H4Z0Ceq2bAwh7ho5OUPlmPMQKBXwVHw+GR9AT2FQMlZYVxITeVj4WjqVrjfm2to5XsYX0bpaZqfPaVW+kMRVeNOSaQM4mmWOYFU5dfQOPznX1gh3aGYYK2rBSYMxcc1DE79F0WIW19S7pF7mqBsjYG0yQDvYrxlL5Zc2S05D9gkVWwNo5s05RMP1uJqgqtBfcnzLpD2bQPdB9IBA1C5/aiNBzOATAiR+GUr4eYH3qKP47VlHdPi2+h689sVBhtAq5rBApkG4G/iwju3cJ8j625VOOYgj+D0en9ibxbRZRZ5/gqkzyYmTZYI22JDUdLNSh6Z5Acfg81lO8g+Hh7oWw7qgDfjHNBLTVVWkELjzIDiFzUWDOrpKRA48k7uC55JLHrclEjMlxQVicBCgNiGblKizdsQtP0tHdHLJvfZDou/OYr9HJk2mcFno+SGxeA9+mKP0/FcH7O0TGUpIJnXCXDgum4CcKdfczFZvDo9CD3BSnHOMS2ERaTYOPn5w5r+0bMENcceh83hyxCaJfBzT8KYDEsBTz0B+50664NfLvpS2+rCorhT6IY0x+lbwDiJZP5904+gewVM00cONBukVCo/ztnPtBKbbq69b+tNROoipwxSmQeSYoA2CTtomA3EzEs5o/CYUKAokXNMcJWVFNrkrGE6FN4GTcXxxOqIWpB2ilSlkC6u56WtMg+dH7cRI5LVn45z7fcYxXEeo2NiFrhO7rNnEPrEJXWccYjtYIvCKTSv60drDqGSUfNVBOuQsgzytJcM3yl92Vx/3GFGvcGKCapMpqN9Dhjbdeiv45TzC1Eqo/MxOZfLGneznuFdxlNfzRSHA7GN1rEKxXrSHy4PuJ51jKDE6rZlW19eMO3a6V3F+14M2cgXVmXUgovppbDeHmyrajlEWE6LVNDynu0yMBQnh42npIV8TLwQR+C0a6c3P2c3HaaXvQ0Hlv6XKWzie92LRA9CUXbmi6FIU7szhPsPZeQKqMFpvMPy8ZB11+0HzcmNe8c0LZIK1wrkTjmj8S5ZlXoR5qLpDjhckiwrqAMfZUEGgAUhiCAidpD0ehtHecO4gKEJ0j9iJaeLpo3YPrZovSC/WXhjMIxNdxqYWfCAFE2bzuqpp9Prq+q3gdEKzmrtGWnewVoT8XHduHjMNcJrxInNbdNj37b4ULrgBnaY6aoMFHYvcHJ145+E5tAjpmOgVHKcR+p9XddywikTFDLKyLaGkw0Uh4O5dhcKkY6R5ffjgdERhlN7d75Z3ncZCVwjmp+fVJGvJ/tqNulsd0RgIEddghZE6Hnf6wRdlHxb1DJr0cVlpeVNRl3RsNkYWt/kYyqYT5mfyPeTQxL87mQRtzqDIxDnqe7AjatRwqIky1z2+m46j4IGM8or3Jc0/0IJdsYU52x1eDxKFoS1VgHT91oPCrAjUmuvc+T5RaHEdNeVdVYHMQOTh/FCxFMuK+Dg/FK4ss93TuR3eylREud6kao4luohmWF2RPR6X22UNMB5rEw7mrDCuSxVKnrUMjuAwiti/2vWizHp6eX0p05C3orjxNbcvtwppuz1WwBf3mutxv7pXh4dog3uK4TF0NzBX3p9OE6zt3TVeJVN0eRK8m6juGpHYDA1MjxW3Ekw1ME5ygtiodRpwnC4/Q6c9uy1JbungOBXp01EMC91vYMDTtQaxjsNu4V5DZ5rTA79ZgZTuMsc7O8HwEb7ZV7KtWK4bUE1nISeYsTJU9HCjMbZOVF1QpsMzY0y9F4vspaN029z1uCbB9o9MZGODP4vc7JNzc/iUu4GeG0wswDxFgaMDEQHGUjOtjkVVyKuZknMcp3jFZV2SxOPUdrtdV+co24ROMTha1B/GIAMsa6MBx8JE1dEEUWJkatnxPweyZ+MSFuypZa5FaE0hJEsm6g4tRsZdnmkaluIxplLaxKwhAwttOu4Ms7B792Ir/3BQU3x6mFJsuC5XdU6/H2xqbWZXlvB5F+aYqcZOK0YQwW5rMV6J2sL9uJZsmFaVhJ4SVZVwKxPiu3QNWZ2P/+qYPFzhXqTTzGmifqSxMA9VwotMJ3i3vlOB1ITVAyq9brudq5O0AW8+ujosGKpdpdRUbq9KpeQ/q+NFfWSCOPStGFekyOoUxClmOojnmutA8eGYrWsBTxhiN/fdTcDSIXihPlGEtOHZQ1RUHTuEZwgjcry9AeQG5bRPrWm7/eTIO39OIxSRIUoSOoETceIx/BHIJfxorTFHXOj5BipInERgOTNr+IgxzjcvkJ/GT90pREewkydWoTY4T1lv3u4t3R/Or0fKAGghi7UAVLAuPqAU8GYkxXMIuIY+R+c124k5wDT/U9C43cnT0vcF66S6DEH6McqBYv34xw6+q2gGkWjNt2NHBlfsuS3m+c1vrIqqMUJwvNhmqcV/G4SBvO8gVxYmp5vtI3usvtjN5jiUpqrwxmYYSXJTglWGTJuiFieURJCCu3V5l6eHKtrpjvk7u/ZIKWGLLHC0zaGYCoTFy8zi7G573F6zh/19ZOaBHNA5JYFQdIw/3xS1CJMHF8KYBXT+Wk4RohmUVpYPFXioLOvagGNgcHOsuE5+LpuR1glkbdgEmFXEaSjZ02N1VPwcjnL8jM60mOwYfip+bSbEejg9XOrrnCP3cV30FlRY7r6zDpDgZeijzCTgFpYLZigMKh4m3VMwQH0YD4+pqwZbcSC3LJEBCtPtRA+oM15dJNHl+9Mo6N4AI04XGX2IVE7cwWr5/2/v3XIk2bLkSjW1t7vH6+aDXagaEX/6k5PgSPhBoIEeRY+A//zlHMhGoYqJ7L6RN8Jf9lA1ayzZIsdOXDCJm4Bn90e7eTriZoS7PVTP2Wdv2bJFhg8PHyrDokHnWes4JAITKBAa8mDNygpjOjSYIlSg7XKribhoEeSwlhHf8NCgD63vTR2cskkguCNecin7BzXUDJvJfgKNhuupKg/LqGlPr2qUkkNAawSqE5PCJBw08Kg4O3WfprRv/5wmFcdhY/UfRHS4P1R5km8bn4uG9tYBkoWsLemOcWgaEoGNegenaDalfWYi69SXRpo7Nj1EXVPMySkDaBSYQ9WfAroo/sD5PVF+FmPDB/NIFzscOkkypTGDejc8Tgv48rQEIG3E5e39SfLMDQAFBgt+Rmihkc05HKwlKbm186k+E17X0w38b+895lrOlHN9kj0r+EfWqTMry2hbymh1YEO3CiF+efv3NMjacxp6aBxHn2hxk0upowYKJbAnksJb1EbnftNZho0TkByuJdfBayEguIRPFyVz17KYXjo/M7WdyESaecmEIQ8nYLSGXDJeGmfxFtEls6agSe7BykPmbjJ7XlfNSjRNRDeeYoHanCRd/gl/g2fLfwd+DHsg98+/Ezm9Zsu69XXj7Rk390Vok2Lh9Sor8j0UE8CZby8+HS4i101qTZdfjeou3XD0+9f97yZSGqk/M+fGIjUaygSPRZ2B1E5Y1RJ4r+tSMOLnJlNvxpqwao6E7B+rgGd/ZSQwzbMIKKeqCNSRBKjZVbgCCodWh6ShnNyfRvOLcrjdPKOKr8NyrM4+ARycPUyNxq19ywCp0TWremhD2e9FUmX+QDLtQSjUvhINM+IGLhYqRZnCQOBTVgaWhgKEzSJjU35efC7V8XORfMHutJkw54FuMa7rZIISA+GakalOwUXd9K7hwU3mZJNY6PCxOSxywb5dvlVAPbqEo+Hk6RZKG5FYGZon0bGTX+aJQ6yVCALA9cGY67GwEjKU0DTU/DD9JFlHBF6hjYj7hum8s2gtDGgYZJVkKPG0YS1YUSePbOSoj7eRMDCwzU6lP1khAbCNzplXqgzMUxQJkBru50Dc1H1ThmCYgs/FHH3rCDPdYpHiBqvwvbyR3DXZc/a8eQQ0rOaTBo6UxqEobWYxC7YftrXony66NsoGPc3Fz3INRdvCmCrz1mdTRZBbowMMLcQNNa6/RvIWY3EXL7c54DSZJCG2nIbXba1PaWzawkE/fzmri6w1YSxYM8Xu2koQZFPyesjj0Xk+3tVEUysP4xFtu1uyW1U5DvYEVXBPddnpLvMZThWQtckxWsP2hBKX0vN6k09Dco/18rh5rPn22QLANEJsZ8u9bln24lKiGFaxYk9Fzecv41/0+cjcqRbvTndtzUnYY71tvuRpemVIIzPv3Bv2e2blFRxpSkKNQiib62aYpHlG0Zs5VzwgKEtvgGoOjvClEhBRueCiWuaO7xyO4mDDqliVSDIjkpIHdJkv871AUG8aID0qFql2vSF3CpP2ZkoimFQ/L535XOE3dj6McnVk+HN6qSMI6HytjZdTouGSXROqB895ZMHnq1f/yGnfJOvNKwv3LfSkSEsliIVkGmwtzaSM50Wmq2Uv9phuWFdk3fzVJjq6DCIcsf41mrVCDJk4MZ1BZbGGVaDPGSOvBClnFQlG+nkv3mYE5cwp70UZo7M/0ZZcduZnGsWG+2ijrUw2JENsPNRMcLiZkWvcg+S5Zhm3bPPQHbSS65Wg1TRAUYTKpvRh2AR3WQdwEC+V6YY32vKqGKj16yi8W6AMQzOZ/05mIniCwB1jMwfZ1qVnXZMx2pOlZSsxHUvjyb8fdfAwFPQ+1jdsNKOnBEVRWey1oypu/rGKy3hlMmjucbPQ7SQBg22Gs5kZ8VDaJIlmMZkJKIWmGoZcEaUlM4+MHDYm+XxdlpsMPYMbGlZwgIzUYfZokpmm/UgTkD8N02XNN0aM14OoZFDKGNawPF+zUmEPW3EqOKfuJ///tzexf3uA/HL50oi4Cmqr7vSNf0rAdDc0dOGRuHI5GC3EYHDw/ghASKtrA3oxPJwetBCwXuAisGCzYdOIENg8HdpESYJC5LoiwhkcRxkF3TiwD+skavGa1yb+oDdWDM8F0q9WhXsta36U14eLp2zBpvacdGTW8V0JEJzxrEY8NhCvBWCqCIuFDDmgN/+t/99NogSv06TIWB1/TkaeF1WlLGo9t0uf1iFmrCwbmDFA1FrIHtalKygTdpeYcq6z3FvznWHBbW7TK71pvIInCi5DGWspi8VczVhZSN+y4YBcvKzssen1dWVmSjKUhPhZNqgwrUNlOMIIPTVFJYDcFviYpm9QAsKXxZJvEiRxucXzI+WVzFtjfXikZ5jBro0JGtqkcBIdAODFQkvJz6f5kexH9rnD3DiLWK9q+sleMszk8xDZG0HnzanEJ7aGWTzyd9oWV1SB8a6aVfBnt89bdYSpTpjSkcQZeCWl+NrK24vTTQ8VgviLNSencxsdjA6mSmBM9pjDNz0u0mkK7AQShHMPdU1jYSDtVQdZrg0cZTDKz6vPpQNAUwbZQyx+rTHA9WRtZM9JQ9Nfed8KkJvaV6oQqXpsLYGgRoKegrSpXpE4Y48SHPnvYJwQ4oXTo627qq411QvmaDpQTQN88wBJMEiHswXC2I8GH/Ii4xGMLacZDwWL2DY6oMZEqZGer8sC/Y33pWsa7C+dzAhZNAMmP37AO7MB3djJZgi5WRlw8BFnAD2u1fCNPK+zjGQYEXUVVuefa5lYrEYNGuvzJtsxZpeTjcCrjqD1GOPG2Lr4ln5rjS5TJnheUXB8cqvrSMfcmZ2yZLISppksYNqaS1bRTuaeaiDZXrqELbuLmAgiFcaj03mWPmVGDu1M12Zigyc7M03Xt3UuXZWkTJbKEoeJWQUKes7+2zhfZ1maw7dde2Ohwr+cnUZVu++s5z77F2+ZXXc9UkW0uf9kKMtruXPao1kZnDu+eX5RTZh0Ao/2eKQabeYo+oO0qRN13zt5L71z36dgbQQi4c6epY/4Qw64HKQZqQzdJX4zBDvR3DxCGiO9TJ5kDwarHPN8nbhDJnqAgnRtIhRirVd9ex00c65OrSjz7qmuUmmElfHrf9PtSWUUvyRXeK3CMqSj62QdzrA9tFd97ZVImQL25gEypSlRWxd0UxmYTlokz0+71hyQTqANo1pKnZKFF80YmNN7Th01PMD55soAtPhh9g+D8DPRfBAgWJ6Gl+lFvEBOBzVUIIr6S4blmfRxCSMDqrGUgDSaRgYGjWVxlcQTG4isIhmsbBPmu2rAgC9a1y4BXdnkciofGYPLonXYFjX+MLIZAH+zTFtU2aNoExGC5tnD75lTqkPBGI94dpYvu5/uKwPFdjW4jJtmmkzh/sBxJIulWzlXts139ARlzbouQrs6jMvilAmryrwym8eiDcmS9DmQZ8Ph0jQfXW+61/gSLe+Km2ZKDtcuo3kZW0vDJ/7ECCuEMM5rfD19rS71+dQaPimjdEtJlK3unc2T6xccO7PkKfGUZVslO+W41gblobUAdK1j7tXxL1Nyy3iM64RFAUZseONA/SG48bWuAwZ+oIILI6aXUR1mZXexqTiWZYSyO4LStiZFmFABu5bVhiEcxkUxqIIVwOd/mB503cGV5XP0uV7z8fWxmoSnaqpoLBO891SNEPaLXtNNEWXWTKng8b2pmWWtCyTEXsvkSsF1uCrT5P1IGWi4Khvn+iH5xv1C9YcK6vP5c4mJTKtiZ9AQvW4Kb2d94LPEIcCsB1zITtE9lKIcEKxVXovOs/aX11T+m8qn+ddnKGRd1q7i8NJfoII8X2vNYt2xLh1V/q2JSr91gOyzqmZOngH0bs43GZsSqKhvGCOrVd2ZgFvGSGUoHcu5SvEA8sEi9Br45ObYjxl7h7f98PduaLQs4de4rN9D2Pi8pk5n8zKVLcxuzFjKK1lsFFyCm2TmOWWInt5afcFM8kiGEmEJvTWwJv4/zxdNRUuFBdPKiZ6TP82nfPa8RjriwqP48mLU6zgrygnccCJnVsm4Uu7HRjWYc3ioPd6qDNPeMj0+3EMKfSDLTH5+v1UO1hDMXG4wo2ap6z+1obqqJOyAKATpIEUFe1GWDPmZ/n1IlJfAuKzZcbLBZCm5HzrIAtnEE8ie6hpPzWROmA7OcNpVMVFZa5k9AxWlMxsLPpqMV2N33HfKYWeE8cnBSTMkcrENVtUo0vt31zfBT2uJhhCq9OfCxkPXapzjjg0QyTUlLMjmYZFsrPtqq+Ds+/BwgzunCiKR0Yxz59qo+0hWm9FVRnCXxyaGLaHdYawRU1+TXidAohV2A8g+VcLCXlubOjSWFq0SJGsX5H23rna3LnkvSoz+HkRxsoA0B3SyHOtk0aYEJ0PhJuWleVSNKT9VRtlsD7zgcnOVDUA4RZrognjOaxMI0Cl02dWNJbOia4bKzbJEJoIrtcaAF5aECMZOeRjcC08XC3qqE05JOd7GnCQsOhc+ok07lbKJsjo3OnosEEUUBdJt8ffE9ucU9nhWAmSyWGUsdD4xh0rA8dhk6C6S0OJzukwAUxFtAz8PAnYM6sFFM9LVffG5giHGI7gtiAi6WmRCE0JWMm82vtzbcwmfqjw0DSNNqWSULNDnxbOei0wnAH+I/c161hBGykXhWg6SOvCMZWbgQEImth3l974vviugwQ2UDaxnt0X7sDOiXCU3Hlu03Bf/LfX1dDWHZdFWUHTZ7nQv0GbkNWRcT0c8lrRWjUkFJGhgs5RTJWITZCuZsopxWbzXW8nrUpLPofXnjCwQixooy5r2YXLky/Sl6Divg7A6OtbH7VEdbR7wQskwVeHsN5pK+7T8pGsGJ5HX+df5X1UxMC2j8cHjXu9NhmZWjQpWnPUgCbe7hZ6bZCATZmSfVzsBtGYm7wNBDNbp6SaRJhoQplnXra49P6qpMfDV1TR8Xn5WBvlp/CSdBbJP1tC3wzdVbn+Z/1Iz2MBeaTBhybCo3kQOdWGuq1l4bURsdIgjtrEsZa1AbnEfaBxqe/xQ6fYMkDcLkMnGMkWgktORX3OfLCxjJwqS5jrqxI9KSjcdkYwxXLdkaLpvDiwRREhmlw54MJ+GZf26e+oMpJpWtyy0KVmHN0fn71pCoNEZ1Ee1nFsmNBqu469mOEWWRRaccs+ZcuPSrW7yWuE46jmdvfbCDD2fLbhrO+g6lSI2Ap8pns8N7/N7TdbUe2LXXqjDJ4ZV2siU0NBYwr3MPLcnhzTq6KwlZaygA4yZjNNlZpnXBXRXFuRMqudqNjza2WqyrnSfhRMmM3TWncNUmpbLKrsa981YZ/iiCjbMAzNN0hmS9VhWxk6hgFCOEXRicarmDvigxU2aDqGzbR3UMJi9rrQB3Z1NudiqJq//eKJpjTPnTKbIuJ0bm/H34aAXVSoTaOb1Nd/ncH393I0x4kkhnpOfA7Jp3kBeM41TaE5thGHCiVXigFJOfHyWlZ1qby5uAb1h4UAQho9yYKohRNZoon4TJrZSkojyy7Wgsij+aLJFyEM1cfh70Zio5kzkbhik10IyQe25TkuTz5uEIhKJqmqglDEt55nwYNvZE28bIKEidBQPTY9EEso+JZnDlX7e9mZ/kBRdXUArfLcbyE04m9flwCOMk8UALpJSBl4hCiXXMjSPgGomYuKUqIYE/D7Tb3TKMbd63TdFapVsnECXSZgeJ6BGrZyNtqaQZ5l/TU3hpIx4K5+5dbed9ch03gB/sNQsfvHTGHkj81oe2udkSoCSiGw5IHo8ZjTdgw3nPMnOUs9NhmxwOjQNHSIuqfnZkH+V8S42mmnnGkRIVhgapV7EZhEbwGJhLtmx1jTwoSXMCtyMPzks3dzSCGWM7plAsb6fmi8IEZBJutwXpcPNDjY+17E9h9VptJaMUYP76XtTG5BrLIyM4MJrgZGhxrQZlR1oygS/a3Dw662xlCaKDNr2WwXIu7tS7eE90uzKCKDoM5TXWEZ4subj/HH43fy7kgGbL8Pj6VGGaRJF4Okxi/I9l9QWdr80YDYWwniqYHh3vGvrWTHvOGpqCfxW2R8Oni6ntb/AvE8WywB3sy2DDotDsQiwG+YzwP7Q/rDLIusrmZfu27oUcdBu1HMzVfNib2k695inbe80P659ORfkE2sLBUjEhXm6k91FwdgXx+Hb8pveE2pRwRwP+8Mw3U1VTY4r4ZTcu8yyUx3w3xw+4JYhpz9dC9/M9FvvSBmNBTV319UJT7OItaXXRFncicP2L1tpQiJHqPFfxiw7TdM3n8UWYBplmy5oNI4hJ4uxFB79rCuPnuekzQNlKJ1LnxDNbMgnlzarPUfEts+USDI241V9KdCwSY/A6TSO/azpHDwoDZQ9pkNdWmYtQPYdvD67UzAxeV6fw9144WzrynAVKA0+63kyU05DgkaGZ3MzsqgFwN/Nt0yzdcP9iFl7E09Frt6eyTqsgDOMdWV6IfdJx9TsqQ1fv2B/Ks9dovbXtfHmjA/12GPDLrssTe+Z7CnYX8YrnSGnq51ppD5rbM9sdoGgAh+wmrYKBmmN0YbzcsvIWu0ImWZhYztYkT68VV0jfHrwygkGnCmpdOP91UjtZF6IJYSv181tK2h5DE/mZAQQ35dcE+20rCs3CZUA2FFT9BTzODXLzOHvygN5M8rHTJlFcV0+3zhbIlkHRORqS4fc0vcGWGM91VTPxtxi5ALtkR318kYo58C1C+Ds7FoHGGpdETx2BsvzE9zkIHA56HCCnkWw48/QeyKcLS8dkiNrgEZIJBBAPHO4psqCff3CYW0PngLVIbJpi8tIzIT37cMUt1GtCVT9+d+heh0ab+yf660CJFxFXRiUnk2d0EKw1YE4ge4AN3JwyipjXVlUYe+rE+ivED11+ow12aFuFko2KJ64/I1uYBpF2ZjZaA189uYJ019tfstp8RDJ9LqWOxtP8Wnxqf6dzi7cxMuhkarz/C3AuwPdOH0G1llcmsS4lso1HciYOemmBqOcVsVHXHXlsRdNsLvQGNTdNjwgTMiucyx4beRtLRQ6iZnW4LrJFmEx6XRPoFVgR8k5El00KzIEcB11WARsbzSkTuousIoCAVMnriZ6iEEqzpvaaPrs9hKH5Bwj+TZyF+9re0M7ijeTJWUATEvMpTcYqpHUfpDGMhifzSfVeIsDR3WHgx1MWzQnC+vC8eMepDkmWMENDK1Re1qHniJcmIbHoQ5pwQGunMj8eM+vp5r2UHeakpx9gIweLpcE/G1lknBKWXcfLx+r1Ac/3Y/D4n5RCk1YPByX8p2m6uF+fBg/qBJqlBow7nkYno5PpX5/em4Yf5oi4miujjXNszuqC3/YHGqK7Fy2ssyYfzh/KCZBBJoR5x4nZXHny1lrmf0Anps9GtxYE1Ze+/x3Snsw3e/j98LJ8Z+JAC5k90upWMXBk2sOY0RV6LJm4mWqRyZNBeWy/gfIDYEZ9tJrWU4rjmxq8g0t1unDNKx/WsugS4jTaqiZc4869s3DNwuQwmm8yVpXyCU1NxGRUTU/yI7AvzyzGZyyYUvpznbdUZmA2TUuJkPakBYw+LXiS9+d/DWlJ9MBUmTJPKjtKpWG00xZ3MR30+FrEwnu7vZdvkaQj490hCe6zKlXIFIAIdgzJsY/26XxByX0dK1t35rZXmVYNp/XeJRxJp4rmbleP4LAxggjQSZ8yIrTof6E0B8st9GhOr4az819lECDcaI2A5yDzniz4AV+xniUDofMWrNHwkxwAOvvU+CLfmJG9y5K9ebDqUz1wQv2h3wY9xDKDo+os0QMRco0tt0I3tuw1czP++AUM8E0o6ah6c8Q1ag08rQ2PFYLZUR2AJCnfQ+b8pJ1PaOGo6YHGTMybM66hANubkLAamKsJ5Gar/uCF0JGT/UkwjhQAmZlhk+CLecw4DCM2lJKapXgBBiv5wwkRFsylr5ksGCgPXzC++O9HJHDm6ocDlSRLrSEQiw2kgMjhwfXScZuUOROlZSQHea6C2bxpFO6+anEFFPMmQz2mKowfNtclzSHldmnHwJq9TqWfxTvj4SCyaR7mbEP29X2Nvn1lgFSpvGLm7BE8EGyPYIjXbi8adRwuGnB3BoVwiRNpdbOWkQM57QAZ7AiDQbpuqmMVFlpnBNZTmlQbPzFQgr/MDJeIYz2GB5/L0tLyvN16ffp1LyM6tZmHE1dURKcSykm98FQeBg4J52xjoQcYdcmFAENIfqIGHx5LjdjmNl4KZFVdtiZsAXIdZGnleWicYcsvgNkgHE9r8F8ZQ1kkHwO+/GAAQme8JdKTM/Hq9M77G9mT4YRyCDDOxQWbBgF3C9jmCqBMI0CAGcEES4awexiqCECu6uS9Y8dhJpjDnj8mfEyNTnshKcvu+4FY2UWGK7d7+ffl6ezDc3Ca1UwsZ+NuvvXqTrK9gDXNTfdReowbK6TGz0wAtzZT4aiGWAmijC9Wm5bE0Bd1am69lxfidqONQscoRVVPS51VZITPE9F7B7vKttnSibEaAKk/Jb28zDfzwqWysrtuR1oShULquXHSYkH00YKjNOzAjbcSx54WIsoTebExzGzRNNP40lam6KM7SqQhhECd1a+PHTnTaEhC3y5vNRrwbdlgmdZ0mVqkCHoTJa+OFaTiPLVmC9ZJyrnvkHK4Bt0I4nTmnRKk1aVaHoVrGV4s8yJw530wcy+SAYoGA+BXO4rudJU1112KE83PivXXhUUvbXPBT89PD9UBv7WATJWpCEw62LlCxkwOoSsU26GXQ3ldRJdOp/UAfdbkwZLAXhr5k1JssunVbp9KXUkhOF0PuOFKZVTRqtsZfG5ERQVnphasYkbqRhNQQKetQV1QvtkhcYT/cRgIU/Tk9J5BU/iomekdWIzXbEq3IZF3vBDghrBzbPn2dThmMXmNJ1i+VYvbsRwmjdsAhkl0XjJFxm3M2CVnshn0ZgwxpKuvGAHq8WIVpMMy5xM/WlCtTa6sZwoM6us52Cw2XtO9IyM9Rm06FU54UN36h9UcIyGEWDd/U52ltI/U1CZmklZ/f36vUEGES0JWyC6mVJIH2p8lQ0CFsXPSrsUJWsO92CNBO1r1/X1o8dBVephDmZak67JylnXqiT7mq0Ah/hkszDrRqY6UMblwE5ZLSiGQLgsnmMOV5XXm2VJfCGQAYww1Toh6KgRBLJ1vk1bKePyYIKCCSo/0NPgJHryRlDDeKppOOOedKql1O0sLdWN5ppZK4avjjSvyIqdbffTWBpESNnaQVCNN5kKwZNpOcT0e2YASE91ONZ1vni80eIhyVaDGSpZqnKsHaKJIRl7hX6I8RhZOT+nDHJT2qdKjJ6LAvZ3FavQBltZvYdsCIyGUo4pC3ck6bZqyuVatrAKbhYzzd/nooKvZCxOXjRDaTFmc0u9A+zESiSZvw7Hiy8Fx2Vln/KxgceF7WMCpIO4ylYHXGUyHv3S5ndg1Sk27pSO323u2uJDZZwSLzdUXHmaM7saFVO3MOT1TioLdRItLk9pRCYsor1gQdpsnnLRt2XqNW8+n1XqKEjaHE1UCLK5c5XF8NfyerwHQQxhEUB/GJzNGYdTYHRWKMqKZ7Xjj6JAdt5UlnAt/T7uSxMDgQNolaWIBWgax7CGmgzM8FodPoekfHGGu2oGeDxOggg05vyesslSGhIcvg5fC15xFxxVnWR9yvIu1QHWmJ83D5kU6jaa2Z3WmmoRrBP3TB/SqgicGWZNauZ/VdQlqo80lmioQNy+7q5lVs8wlYgLjHIMchRUQDlaoutcLAE1Zfhcm+pyyy8HV8PVsQkoiAC+Xes5eT8qVc+v+pNrqbl0cFygBHvriCtMBhduJfcXBf7Larif74v/iWvlOGmv6ADeLYfNcaM5c81uz1VVxQ9HSQkB8nqVkg4Hs0z7bJSlgxQjPWeWgRUSxDJiqNKbhpYrxzRuw67IhJPU8gfv+zhQEqyhGznoV8gxbGQV+kjuiebjRtrd613ZE2+dSHyqqlGK+suN5ruj/vOmAVKnT/hZs3E2e6ewCSgVhIm4JFEAG00z8YXNI34q8VfJJE6oPmzMUIK0UbCQjGOijeSDzWWG+QesLKJ7wpxLUCKTP7pJtibV5lsUKT2Nkn7eFuD3tDu15hLXAC4Xi1Jy/8sirCZAplOZhkuaFwp+nLoWRVUQJqvk26VCsr3Stq1AwPWBLEvWlJI0o3HqTJpsn1NY5VQmbDzG2U5fc0ZTsuhPqE2Loh2pDF/NFSA3Na6n94N6DJmruXiieCHW4QCijUWzwYRhvjUv7o4rJzibU1Jq8S7hsPXAQbrZBNtMT+gA6SajREpHmKJ2YGtghSHRZqujN2mOra4t47HXGj+jJFa1YAxMgitRdGcjx9v7eqMhaZQwKjxR2+Gar6okVqCKpxIZtwVaInSssh2BDaocyOLPFqhgyIBMOJYYwB6XvdYXEyfsp6fzkw5GeQFxK6yok+pmt67hjah1p3GlJp95lqx/BKnVxDrPyhp5L3gTCSJYbXRYxb8nhAmRsNfXskgJ9GPYRcMSwGTzSvDaw/VBnfYEnghrR+i3Z0C0zLqD3gKJhfUQpkmCcdSkMm6YAy6NWDXDvI7weuf6aM8MpfIfzii/J0uJaf47BEg5nXvxsVjAzlDAsXCFiLz8neWNxHnzqd602IzlJTByAdO0UWA8VmdYJ5u7qBHj5DU4bVPixeSrjYelxHCQ7KX5daLRxKAcdlCI8Q+bPVM7+nk3iuRbvJmE12gBk+15QfD/OZUzlSKNORaCS4LGyvGNbAFy56ziWCrlCY58p2xOU0Nal9dJUwe8x4oVFbiEI21uWY+yQDQk3UzL5oh2Xvh5N4LOTVU6AU/qO+O5SshtEW7FPHDzKnJkBDAOFQUVhBRoKDlABitTkFyUPzXkX9aAcFQD8On+K9jDZqCBYEgmHc4fyOIus/N5MlqYUq130EyAFJcROOW6VDDgW3CJbM6LZXDenn8YLlC57PHCxlvtFNj7UVEFyE1lvuqGkyURID099LJ6KezM+qXRGsAFUzKi29Jw1ATQZa156w/LD5o2eVm+qOMsH5jx2Jo/GWiQWjr2JWCOXJPrqjq5k3HmBEg346RlAIxzWigDBmtOZSFtS9abK4hMonD4DYwpwjPtqo54sYPdcxASHO/9FVpSVJcSIIX9UqhlhNRjqIFZYvscWEViKC73paiEn5TFTmK90MaazZawj6b8eHjPMVSLXmhUjVKJvXmADEYo7M8y5wJDKetMIo9gq/Qe3VCITFWzy4y7oVP4nEZt1vpS0wb8nlz2WADr2uRaqO6i5ivZUDiJ4ngZDE7QyYmUwKMAT3A2FSnzqGm2JBgl04hFxH6914LXUG/1AABFLUlEQVRIVvZt8U3B5fvwvQmw5hqFopOmQ/Nfnm0uz0YEkgADtceOgjaHzPGmlSf8Dzku5M84FKDRIFi62dZ7te+3TNbt+KZryrX02Gd7fRO2KdmabqAVlhJ8dCC5QQZILxK+sccoc8sDhWrhZP9rQywZqZQ8Xeb2J+O/NESmocb/TDrmQbBKI6lRx5CQw2bYE0y8FzLIZCDiiTIR4cZAfIkajkbVcFmKGsQaIuhoYoNAM04KQJq42NdGyeEn8RCyLgsEN6X3MC8I6pxDNgyTJ7RpXxEwkec0iQHSfMZ103FW9YL3HbnC0fYllNVIj8GbXN6aJLw/DTqstmoygE1Kou5yk5EDWwvlTCRyusSDr43H9VJF8HM0u2h63R/uFUzZq8nMhOPmelLGnpYKggRTwWL20ZaI82WprFSZ6LDX/pCtrTUbOcS55hy4HLxp/mU6KI6NzZIDW2eut2XtlCEPyxszZlnz3TnQM0IYVsC4K9hCohTzq6oRQQOHqTJ5W2SoYXR5vVUnbxkgUyL3KuEJghnaby6AlxtXKqCuFoXliho1JxQQY2PxLtbY1eJaJ4dH9lSuL22Z6rIkfD1NZNj4K82Z4HwRhlBg9ymU8bFQbUQkt8aeGg2ZfrFfiTKfcaX0XcrcY+Ex3HQ2rqYWLgdhZU1+zfytRj0iQFGGZyrF3cV+TFI0ia4Rky6vgh4npSdoRLGAjmG/F71Py89pEii+ORkfdJAMFSLk3zwimhtqUbC5jNH9MLZpIyTd47NxsBiNGbyPPFr8fAg+4cIGt2y4rjvsjcwNzIIq0Vyumfx/svVMh6hsdWYeyktbo85EksUyJcUGRqNRPD2yJFgSy2OV1xs7bnrUrmWnnSl9I+qb0RCdUTVigA+xhoCMva+mi7AvMLaxqDS5VoGlNHLImjalRRg+Ez7uuhMgeQ5KcDWSlpsSyhgWmnkXt9D0N2HFNRhem549Zpgg1yYdc+0XAtt0P3w4ftB6lVReZO/wkZ67BIdG5aWYI6wNrlkaoHwmWc8aGhAxfbxl8XwmVQ+LY2F/2Jx0Jl3h1XKdMzDRRhQ99SU2AbqQtpLNfVAVcy3YTgkNlduuVIn4b7Ju7pE0P49luBetzCiO9wMubxYguXHJLFTqOcvDFY03ysXgVKLrKgoIQqrjtgIJZkIIDlibTRkA+Fw3yhZPm2AqTWiWcoF+hHXxdME3hY+pxJomZVl991SLhhPFfslcEGgLwY96P+PgYJpj1RvpZrv9HiQPDy/sdNTJGivNSGQpyDhIqYONFxl/TUXHNXudCnhH43DyeJdBfJXIW2OPBOmoGlljU/SYlRs3LpmUfdtLJHJv2ILGrCulcU5K4VWLnTBcZZr2TIkYbwI5lrACxs0LJDvOzLUyM3f/xPuzKnmT21+WYZiwNo+e6lCa3GU+1/0K0V3KOIuF7EZVrl2LKqIxUtN1ArM0TNIQT6+arrViIy1l6EDNfH77obBOOMR4T8hnSayVoIrazcFOhAQSfnZZNLFMRcVAjIMtYinqvuLdQjkLlccCJKv9qiwPqBoIRphcucxnvcvil4YgoiwExlVdp0x1CQvmEJgvJefHtSdYAQGkuUnTiGmTQ1VRZHFkZ9iISMTXorfab1dnluDUm0vZZ2x9UIaj6smsyNPp4CErNoF7CKHfhz0HMw0vnhvMkd8DSmBvELyJCTTCgDNU1jvhSWYau5YwUSQ9eBmHp8tT03YVzkiFjFeV/WSgsPF7ohDxtX0tGtl2KorUncVpzOEUOZ4qiR6GD1kJTZPkwTn9exDFdXpcPTftjp4WyKkoJKHJiIvkspkpCIJkRti46VEpDg9KJ7Pd8rJgQvxueCc/lzEtZ3PqolknTiVo3pO/s/AUlMmGbEiUedbwrhKYe1XyZMnB6hoXjmA8nRutSMrQHWm8iTBQrq8d8Mg2nudWFuqzHG5ufRJRBe/hufg9ZvitS6lsitLLDm5pBMSLPBmuMmFP5bQmEUmGmzK90HEkslResRFMKifQU46SseSaceil2dOaAc5Mk4nmUMlonwKmFZqU7ZmnlsxEjTbUv+nYj+Pw4fKhHBU9KRIAv59gikhre2QE0h1T/Rt7kRn+MDhcRYng7QaWcM5FZXZaTyfTtDqLiEj1p/nY7BNgbmW0zYezqher5NDZVrOATDCZO1gZ1JzZAR/rBnBJ8/TSUGtNQ/MDpd+ZSaE0M6kQV3XoxIuGbi0NqIfFg/aQuKEEa+4n5Sr4qEtYsWM42F1x9Tze0O4y7ZWJr2vWE8maKwwCY7JCEb3MjyRAxiGzDRrEysRrI72DNHw1Ymjr50zp6LPyXkk+nKEq0FO685rLk/6dpELBcTcrUOqzWZlLh4n1OiVW0dlPi+/5Nzx+c4Dk5qdzJN8P8DN4aZgxebolGVdk2ZVqjxsFyuA8wWP41lC6U2Ye4quNgzYqf6esFMyMBW4OGak0p/X5cFba/3J8EQ0jKTQlgWgvGIkzEYF24uIiewctFjZRt/ESXAl8MhJz14uHsKRrBURNCGFqNB2Gp/mpiKscCg5wMZxS2fbRXLm5OoAiUJ+KJpRFmMyRGx65MH5Or2Wis0i5NGMoQby4wa4irBFqR07eNrliXmcrFQG6EZzNJuuyu2z4UJ30n5bqkvAIYrxk4s5ok72llM3cdDLW8D75fc3impzfMl5jwE1liQ3gzIL3JSoRQc22vmmmRf1H1DKaQLy2myiSBzNXMZgyD/FprTwl2AD2wHVUdqP764pG3Wgyr01RdWi+qAIQ9F1NkHxFti4DCev9Wtl9Ri7VneYgwjTKQxHC3MfK+kXwp8TelOgETRjWtGaHga3gvoKbWXczk1jJqmJmxffvh9+rOcKUUZIIGiL34301PU8bwVLsDzJ3NXwup8LB/RkILuwNXT9YCZOV7Y+unowLI/aAxBnla5gswnRJVOwgGi+lDAQAOfEV6UHwe9lzeJKF60Z8YDQy8Bf3BDsH7uXj4lHPExEPGfmtJg1e0EiEfK9gyUSaMWnlVhHmAL98th2EPwsY8d/FtCuWn1l8oflocqOjjoRiku+QsqOwkqxMSs/Dy20O2x4uwYD6bnS6WsJSVsuG83CzyAxjg9nP0zaZsWgZupMsvNESZXn+gMvZCMnCNGJFtzrir6aAROwzwSQZTsoxLXgUTNI4snQYNzFYlgILeBPYKt1jlwJtzMqugPD4EiBrV5u/F8vSTng4Ta8EjkhjNUFZ1Ml5vk4YRNe1O+V1j5y5h2bRvhMEY8nbZZe5ZhGE4JHRzuCjaRgIf+psNMKbCx7No6nRZ6y0b/BBgsY6oJvBD/leP+v307qy1gRto3v47ljKSz8fuAQ8cW32wtJCsmTx5nRGpERTOcAe7uCHsNxElLHlNec1+ovRSNX1CgsB/A9hExKvOwtIzKNYDup4Zx97nl/4M3tpVRgf5a4UtC/bUh5CO9Q2yuLXQrvJiCOJrCXAeJ86lBhH5WBHFedcqvOqVJwFD56Vz/yz3psz+0jU5XAOzzb6mxpThKBOSbQ0RMZIYCxZuR8UR6NZEHYq1JTUUD7zZKfCQ1EC85cOaw4ZV2kN+6Y6o0ELlMA+X1Ulg0K6Go+m3Im2tfw7BEhhJwgajLtalFB8YmnqRZd56ag0q/u0PBcmyKI63RaNSjbrCqrkI5uj+xn7UjJLPD9Q59iey3yKTT8thu3rVgtIi5ZyBfKtM0gkrzB0kvH9Yj28boqSwimlLMpzu5HVylB8Nnw2ljpwHpsCv0vHLCrUwhrZo9FYyJTRtJCcFO+LE5yMT1akyGjRqLCXCNnm+c6GYzQyphIgRU5fclPrynYj29TCU0zdhxrDUobnxoUWAVoJc5l65cBhAXMqk2kxBpoTX+ZSyFf5d7FDDUNBAhixpw0x1yOWGt/KAlqsyuDMdIwESBHnGUfbX1XWYAeAlQbXQ+rapzqYoF1kmiUBNOW8MjSoOexvL3wdGhyCvEcHFGXRmMMB90ylMNMaCLAh5qK19CVrlKnZbPcP97qvMAPIpp63zwUBQKrG4OqyvvFWbW8BUV3rl6pheRmeV8+qBphzJkuXCC1NFixHkds7lCTZ5dWWG7tVBYatlXf4Pl+E4avMvdQ95vMLO14WnsZ6oZRlLT8uHxVMYFPIgnn1qtdse3K7UsCCjSDMbnkbFgjVThKCp1oXOvgJOCvT3q6VdYdbqdenicnPMK5oiEfyfEzv2BAs6w2s8PW+MkiC7uHp0MzHJHKxM5vEzSaI8HIzfV1rXwIZpImXQz+HpQ4/7C8YzkDbJsMJGTP0gY7xH+tFWfTyPBz3xzqU3jpAZkRN0dglmBoQlHIsRk/YBH+JLFQG8yOk0IzTO0vT8AZjPNXMlYwxCjy3+XxTH4dDaAJ45omFUzAji+8ECxMRTsu868IZF4l2XCOUd1JmwWWayXlnZp7phQSudJIbJmajc3EbeT24Z+ZsNWzTWFdO7taQse+MBEs36xpB8zhXxDNyCARPyUMz6chYeRFpc1iMIxm0rqX9sKMnGOpV3r+wKW+ECD7kOXJ46D51EmeZn02prADkr2Q9lEPBQ5u/uD9LLEzzaMR2z5xH5DZZlLIHsDyoKNYCTeYZmliTU3Mm2QYFAq1EcNnTS5IbW65KyGC5kI6iSmhgDvC8+Ue6jxKBzaq4fpubAZrgA1Nh0hChcSN4CQI+0Ar3j2x177FFKCoRgXV1FXk5ke/Bji30okaWTeK4Ls2/HcoYI7pjVTaxSSAAU56qW82aC780a8I2IRGiNnX4dh8WRd9LhcjraOQxFU5/PUiQDL+JY0pTCi4vZTvjkyTeJ3fJrbeZSbQIkwDFqRSei+KkzjnJSmh6VCa8R5q2EN8jCk1Wmeqmq0IlR2f4Rv4+8E83xRB48wAZf5T9Zv+DQo8WG/8zSRWcUYP+w1ZdNvAe8QgXo9JuZYU0TPhgxoTSypevBvJmnGZDkWSFKZnXtz1tBRLTtQu5t8ej+N0/TH8Q8M9iFxC+KVqHyiqLbWYKhIeEGeZyjNNo1bV4ecgmiUKwrZEnCKh8HnAUsgXdPAcviVLMC83iymr2ueT3g/PlxiW7zinc/D/INNYV2AmOwrQuc2EuJgCre45fD1gp5Od1ZW1cD2V7i12d3JtXBWbeSxaUOt109ExM12YdKzCo4zkVcZuxNp6/lbXLH6laKiWZmwYvRJgAjDH2B+5qJ6vgeSVWTBm3uihICmslOyJ7ONX9IrvhecR7tE+6sEnPznNdFNu2NypZxtPauGBmyW2t0dRuUFTyCKtgmxza7gpTppEJ7rf7hhMquByKcqPfpeTeFYYprB3ZrGkqkV6YBZ8rm9J7XqwktKBD9a46x5tP7p6SdKM897X4j9tdaUBu77dtlJSPxLrUHgKeeTXv0t7OD+uHep/ryu6k0dhZ+iojviyUvfEa97v7wrUPRZBv3GCGA5aHqs5OZ2X296/3zeKWfSzln3GqbvrgSbnxMjyuHnU/mXMXHYsSn4z2aEm8WOlaYV66m+MtW1Y1CXxAoKvZhlrbCJMc91obyJ9pEmZdfFL2YhIQrv31pehidL/pYIOXct3BM1XlbZcaLdVgx/ZO1+v5D8+aijvtayDizQOkNkxKvHjw9sZY7sY1nAc8z4GvDbg7w4nHcDDLMPVjzt6wnA77S5AUXnW9YUhS8+kCZBoqkaPqT37djKGmVrJhIjXfpjYyUmf5tdAbhPuYX6cZXJKXmMlzCgIhWC1HQSC2qe7Ut+uX9xM/H2fAjQ8HXLDuKEHm0BEkY8YkDImJGmeeCiTDpjkUKuvjPvnUbTzTzi41ryl5M+bUL2W3GzyyaVR2dgxNrs5z0hkbi9hDRA0URK37GGvWBJ9wYXN/M/EUseG8XnC7rB2JUrjUCsG/iTxEdcl8wN68Pvw6jW52eK0aPqac9JSoRka3hqeWaEYM2fgQzMloXO5zoImH5+ZYmjLBjdmc6p6a1qagij3Edj2sd+thc7fRfSZQRc6ONUDwlBKQmQ9qbK0Ky0/nPgEyGHgUsyQi4kkwEfkvpR+pzN3rNsIfEmhBEONcI77yf7Id7NJ7JcwEPrvKfXtaCw+1PN4PFVjM6Ly/f8CfuwaJqquho2zBpw23mqYtGCoFI+PFHR0wilHANoJxViabA4uAoYLV8lw8TxTwPwxF8cHj3SItbxogJQTAIu7EK/lwEpBwi10ZCyIW80oYmLw2yJI4bSknwC5QgjmepD4TOgEmUSINW1k89BMyTy0AZkgJuNPNa0Q3C8wH4iemWp7l5v/THdfUw4XBhScFDSlDD8vhfnlfN48uHCrpw80TJ+VXFiNzqmCun6+fJRfPJAIZMfPRGicbqjuoaxIgGwwV0q3LIq0VDkAHyhakAP+PNT2hTM2iqfLZgF7yXCe/eH7wA1FVORdrQO/1fBWFCrxS2Ro2AtCfICzDRx3OlUmerPF4XQnM30073TMJfEC3Wlpk+Fqiu8rcLjf6ioIdWCUcTO4lgsfDVtcZ+XqAfUyXghuG6Cu8FVgCmguiuV6UIrlvzLNjDXm8r8loma6k8TRvMv070zoW/E0jTob3q9qokS+TfQKZt7v7vAe4ej13UjitJeIIDmRTOvSAtu31k8+i+H2sDr9m90+vugcKiqsSmBCcYlyNSkOiD8u7msb6XpM1z6/PZYp13Ole/XT/07C8Xw7jTzUCeH49i7ayPW6H/X4/bD9uh/OfqtqC8kPmBLbOPSaIZT46Is/6EzFpqFRwJVl7uxq6QHBXk0LTRu9f8/1zaT2KvuThC40ODg+6f3BiL1C9mF32NBr75efhZ1V4h+fDDxikcNrSi6v1PJqSdizuKGtX+3i+iUxrvQE/kGFSErthJ87iOA5fxi96Ta03MElGbj2DT6w4HU51cNMeeNgow95utzp8MpjwfPesKuDwT4dh+jhVskMv4q0DZDOXd2aVDnWyCy18ZyzJNtqJbWJy08FDSJMJFQvKBjdLBiBsyQpCzXgqpl/utma08QcD8ijlpAMH+RbBz4wmJRux8Va+Irkf5ZFmhWn3xCiFNCtJTmAmGsAph1I66aeDmsq18dc0QdpJacMjBQmuE9kGWCBJl69TSvJkSeGbyQOFA2KuhlY+bwzEmpADuIyznGRy0X1kI2j0rhuPDM8wXer/2bRBGyN0JqeS3ME/1yITH8oSzqUfmGqjTVZ5RpZHsvngmy2ri6WG/Ui0Rtz9Djc077nn0SYj7IVLMnnVxH3992meye/aoiDB0fvmVEZpQ2Jv/8YBPdlqhCwGe1ESB64PKtpuzijoE7tWXTXEuOG6DrDMJkuQ+LJSw0cZUkztrBnaDOjG4hFGRILfUcByNdOyLotHyC/atLrGUzQeLrwQDNWNrASRtZWaIvumspaskiDXXYNmVWGv6kAluj5UQiQ60+29RWqw8Z8topzKS/7m0P5YInB2hxLn1d4h+OZ+e19rNt3Ohjk4EtjFNKF7DeG/t8J4ywBJhyxzxUR8TcmQYsM1XCz1/zVxYo1AZTDMizIHacCU014dXJSEAbVtRiRvkOsgNZOIuYZbFzvIyGu1EsiczCakYAtQvS68RqTBrtPwMpdQ7sPyQe+xDdXT9QLLu5B3102jMSKKx92iBDZDOTpclPXynN8v34evi6/D4+WxAdi8f52goahY+TmWETql430MGD0VF0yYyroy4YgjhN7BRIKghI0nA7al6nJ6PClDRTFZpHxmnbkf8MtWN6EF0S6sTJ6AQpeUzyyC8WWv+8CiJ4NSVz7ltPmJTdPSm0HkaDcPNOUzb5StcF/0YMNBD6LBMnsNoO5MacdaX7m0Xlf5pmBnnJQZWh7ZvODI2gA0ZKaaLgnkErn/zM4r4MERx7DL90HrhXEzdCxdmUTZSZkN1QRyYBxSpyrjXsdXdXrBvNTgAA+8Ws17mgsPToC0riRTUaiHg1vqEPIBmzHZx8OjssPTn05KCMDqpnsLT0yrYfd5J3x2+XGpSS0yPOlZcg13N6uGeE5zuGl0zwR/yYCRfXNInqsp8336rj9f16/FAb6eNH1GZhpPnqfD0/B4fByeN89lwLe86v/zOen8YlC2v+6Hny4/NT1K9hLZI9fscXpsFSRV1n65b00XTVWtK7uT5N3BvFv40x5RFTbOGl2M+t3wiiXPtixhEpgoMCmYH9eIqgdFVGGtF2JIjA+jeMe/2/5u+LL5UtSjqeyCdT/nqSw/fins++HDQ2OevGmAVGZjbpzSYLpDLtuCRajsuVSaH6yxl/lPVtImIH6l7pGv/Fs6s/kz38o+jVsGH2q8Ph8P0YmLwVhMjJq9qEntfdYarTllX+YdNkI5mKnfry66S0ZlhPZaiW1AKEnqwIbDFxMwn7CtW28aj7JO9CuZTqLZda6SSPgLcdeUIimkmMOpzzPX+0pnOFhvMp5oajYVn06NPddI3LUY3EdmqpObynvvrXmTCadj+gNGZMGOmNir5HLWkMOyWRYYi03jTxlQZxjWppQgx/tn9BzQrrpsJP5IysTsWdT4ms4Ym+mVxwGjcZrXzzx4Gj4tq+6tTI1Xa91iEoaAOLia5Dlr0kw45VzXsyfxB0smMXg9vGrclLUj50OTm6WbCv3lWMFRpHUqSz6H9RTbPlnX+wFiicpNcPi8d3WUsUE1tUzNREb4prWgraiDy4pkuWiao/m6pgcQEz47HebQjN1qX3GEv6rr76CoiTQLCYfm1+KBS+tkobnWBN+o2GuCiEMCxZ7FvlWlYjWsFvIJB24ikdM47dVMkWMlMRxgQgBsTPbmAZKpD3Wtxr06Rp+un3SaMfyui3KdpbgNly4jh5liiLR/5jrBHoQ7drqSIWXHq0Tabpc7tf41xULX9FLajBULzYcjGFGG+GI3VZnQUBy0QpQFj+LfY4gemk08Z5SZUO2TkV5K1bmVWA5oYCnNBmEelY1pWmiz0kI/3h0VZEV9AGt5LT/lUIcEjpNBo5BiypQ6p4g/0GUms+DkHPbD8+656EBbg8tnb0hks6wRyCI6vNSYmd6Ty3Me4HFp0oTSIXvM5UEzypzMZAZcDzVrWITurjdRjqlI/iGph1YTg7bAHK3k8iRPuudsqmDAmnCi0WBAXpYF0EcwhXIJK1EBVwKZ6w42yDohc9ImtWVGOrQ8tyx5sfEwWTmHtNTXoVDxRUMME3kr1UTUVwTliwnHfEH2N/1H3ktr47bY4qI5MNV9CwdWmgTzUR3er5uv1bn/eChe5L4ODrJErvXr0+uwvlsPu8fqvu7ud1KtAkPTZNDdUUEUO4Xdy25Yv6yFS3P/xQIZZnFmeV/8ybVTBkhVw0w6y3hX2RZ2qmCm6w/rYXfYDQ+HBykdgaFLo8Bq8FwLrhtr4uv1qzJnieXyp4WLv8/f9WesPpQYMQcO7ulHqyoCn3C4wW/0yHFsN7QWhjLOk6uA1aSkcLRYDx9XH3Wtvk5fW4BE8BZZOPGEN5caGtnNw/5uL2bAz3c/6/prvxJcv9Z8+fXnq/5bvZCOIvdmATL6gsnQmo3nvPwBrM3fN1vPEDyd3TXMwid/ynEe0gI0BqUslc1DGn/dNse0/lRvasWxMwA0tyBrSrCWpXlcjdNU4LnxlkhB9Woi4qJhBsRn4OQ01y6CBdpsnNIny5fZfS3vS+TrZXm8SOX4fFdE3rHUfuI7orLW1zYUlVh+Zqon9p9tZtpcP/27fWt0QLXVaGdAcBeEdK/Hm3F6MkhoToupSWeFVdCycuNQIVtn6iVZdLJwZVyUTt1Xn6X22WrDLI0b91Sx1pXuRAR6jmoOujwaz8/yWE1hKp3orqoIHazHr6VgbwK8EuNgjRZTbrjWspgLZCyhx0id275E3MsYfAU3j03C/GJbjbubcVzDYBe+lmSgbN5tZThkkLJ/pVG3rUNReqRQZBCN9VfU+H9dFeQQabbM0K9yIF7qIJRw7DTUITzvSihk3rQDK5keB9bpcqomCl1wkgUSGGd0OfCSgfcix71TaWJDfq8lLbFeNgYZHm0yR4lUMKDhwz62LDmcw7kMt1djsbtxuD5cRbFqrAGcD+0BriX12xk+f1uAZDqkDb9b/CHkUE2mzKcCU8+1eYWheGQtXtMpedis6UammcIFpePMBYiNAuW7uGWXXRNNFb+KhkVknNZLpdZwrFhIXFxmRglgvKfn8bkCr8sI/r9uovUTk8VgeC7aBiNsUGleO1c5Y4yyNzivVf7yGTBNUlYLBQVc5K7SfVTr6fzS/ZZl6fWDFtefln/Se1cZ4Hlousyb15KDksCHO8wcCgTY6aWuHSWENtfLQmUc+JmEVik3LEgRInDEiMlmyOoVxM92SiT7MjlXmKbNjjLS1YIQ1cJUc+28L/49HFHMn3o4RNiqv+Jd88Mm6WapkyUKislkBAA8HVhzXrPh+saLAPs0kWz2FiHkpqWJL/J4rm/uuak+em5UcoYXPQ+dWjacZq9jmwF381Aye7wGk1cPp4fh4+bj8GX7pU0fAXsQWKRreT3frC1sDPZt+KbKQELRdyuxJiSTZmUe/k1eNCjSH07D4eeDOtvgysPHYVh9XCkDkpL9p4W4ifv/e6/Mj/cn5XATCGFZ6D5acf5p+dRGAynlTy8n4XnCGZE3YyT3eClbguft8OX1S6mVUywdPM98Kk1FWCaXy2X4+fxzZW7zfYOmpNUI/zaDI53wtHoNY3ENZdVh9SQybyrCUHd0X2zWlwDJDDmHEnuRLP/D8EGfjQyYn4dFokOUUfmThYidRU5/mIb5p3mY/3Eezj+dm/e3WBm/LIbT/3Uq7u2LM8u3DpDQBTS2ZuxKAZIuc5Ru4n2bDeHTg0e8UoId/Zs//pvhj3/4o6gR/EiECaLVFhAdQrjwzXTS0EZ0BpYAGasD8c0QiCCQ4zt9LlN1Lm64WwqI0DmivM0JA0l8WA8fFh/0fIDLmk3d1lSC2PgA43xP9S1i9WUUyVk0DOhCnIYPhSMtHqqrDwyhoHcsWgx0C8an/mH5D3VRaSxMVfYE59NM6lgK0yymbMR/Wv2TGiqUaMACGmc05qYFOh7qwEAUwddF4hpnODY1KtqA/XEY/uXP/zL8t3/+b80Ot+9ih78q2MAZWp8NJvCF2hP1liYf9yu8WZmUaVhpysQgLdVGfjYYZd+JTsAOHpkgqUsYDYBupjpKQbL0NX4V6o5egyaIfWuiFt5mpS06nFHTZg7nOeHwEOv23ZwHBT+wnuisG9IgKyP4qWmEQK2bYjqIPOuvhhvjlwerBgGT0LTZWL8Ag639elg9lNiLPGvcyJNLIjPL12ogirhvSCNUL9mC8N+rs5oxNIEQeBFMNJXwBfQh6ZBGZavD+y89HutsL589FVqr5vyn9miHbYenmsZWOJtKdBbX4XF4LNEY9i9iuUwodVbNGiJwvyGiFVx3mdlN/vbwCa4DjCY3TytbjeSaa3aeePTWAZIZZ3WJmTX1eBOPGO7ohPKkTLN5dTlN11ZpMuXIuBz+7f/6b4d/9+//3W9+k++Pt3/8x//9Pw7/4X/7D0V6duMheptkpSxKOsncN6gdKamTIfJIwCGb6Ck2CUZaoCmH4DvyOu5gkqFoBpuxsuvNalUCrZYRC3VLk0ZjKQdlXj8z+wSxNmZmUv9mW5tMDRAkr+ZV066Mnqi8VvZj0Y8cmKTabZk3HfrzVNSYyyz+qzBhvsbnUpm6HsXz00w4hz2NorsK5DlQf3r6qWwlXiupkJkd8AZZFqo9L5WRqdlBN/xxFIGcrj+HJyyG7e+2CpK7DztVHEycqPKiCXGZh8fHR5Gm5boJV/bF4sLQhvC/gRuLLcqqnC+5H0yr8P1p+qTsMFNUuEdKPasLaGM8xX1AiD4z3ugzvVsA/y1mxOUgHJKslTKew0oHOuU6BIbFPHxffdfPE0PIxP+w/YN6HGTZsoVgZPe6HD6OH7XeUC/i+v358mfZStNJfz49D8+H55pwOk1KiA7bet0MPoRSxaG42+9+qJTeLECGSxieY/CmdEKj7KH54Yg5mI4Tg++06f8nFLv3x/9LD2G3tm9IcIuvB3iOqCOemAo+qHHN4apgFmZCeGfJClLi6TWyyey/o1VjAdnm1+MJn+BM0hTk4F2UokvoR3Kt9GirGmtz8ejS9Q6OGSWoZjc6FidRAhZ2tZTPyso2wTT40O2EpQGthixkLiFXeeUgmEAwMFYdVagmReZOe3RIyfAE9+yXCrgEOEEKlM2Xk7K4iFNItNhe6YKcXpeibxEoEbOAuK7Z4fuS04NmpOwel0zwt3Nlixq8sBiIFM9R0eZ+2stFNFWrThGUCaTyLocBQZMUIWNGTK1m32a2x5v4rpp+4SJ7tr+pV3EmoIUZ9Xx31AODAMFw4Ar+Gm98z7yOkqzFVMHZTUUZrV3qvqWc13q7rFWqCxYAsjhOgqyu368i2l/+5KweFAKGAX//WpNzqu7Mg37zAKlFw/SBlW2ipM1JETMn6evhJUx5glQRKtImygqTNAE6lIH3x/+HDyae9gUVsDFZfJzaUhRa1WJO9z7lsGbF6UR2o57C4CydL7VwU7xCHk4JLcaBJ42a6EhGSPFewWGPCY7lfZVflLdkPUAe4LvIg1ncgsyQ0jTq3pmJjzlcMsp04fks+nz2OFLgwlZ1ZRsBaDV0Re8vymzhCKb5xvthA8KjFRsDKGdtqMCsDCZtdKiAvX8c1VwBT+R10FvURMflWUML347fBAHIZ2ltq1e+mB1+WQ3j86juNvjl9R+uw+XDRYwD9pFsKJ7GYfO8ETRE9gmU9PL8Iujl+HosIeZTBXMsQgSVLLcK9OiYImv28+lnsU3Ax1XVMWbqSSHZ0ZpaNvqaSWnHJHOCqL6AuaCcIUALkrGt6691Y9vZHKx0nh/GhzZYQudc+KNl2GRh7O437wc/GU30XDbFhRxLjSmVxpf5i66F9Acusz6LZssPZ2Gpw7+4WQnL45fqi9AXiExa9F5/4zb5jQ8SA2sO6uR3Rzu+KMKkoEWsavM0/pU5YJmv5oT6T//Hfxr+y3/+L43mQkkRVzg1A46vteDd2SLFTkdZJR44xFgEZ8ohKV+7my1BhoslqiBiL6tTDB0pXTCl9+vvDQbQybesBgMlVER6Y2kajw2dauBy9i7RJqYUZF72UqOLmt5huB5t3205EKL1x3WgNNPi+aWyAEolNU5WqyKMb0+Na0ejiUBACcGmFTVoMUukQo2rcVeA/ctJZaSmEshkmOU2gVp0lLnsASg/mlDGZhz++1/+e8n+E7zON6kq+WAjV28lJe51bF5TLqd8DibJvYizpZoZeO14Lr/nULYJInfFeURoQTj0eCkPFugwi6Oe73X3WsKuKLDAWT3dGgNaCxEe8JSTMqvJvEM8YWwClblzrVmCSDrdZFBkc6zRladWyD6sAM+mfbw+iurDe+MeSxwESbrlVSUbwU6NO/DW+5vFgcpbOv5gZ5tqHmkCCpzSzn+aouHrvNL74l6HE6xRz7X1D7mOT/ZtogjjsJgtQsJs93rdnC6FI+OhtL7T3++2u1L/4eta2aauPRQ8c0H1WmR1vHcyZMsbXqO3yX0lQ7eykZqZtuANOySk+kjRpXoQbhvzOjcTCcIyK7NHfetOm++p0VePxdZMQVG9MgiRZi5BUoMlzzdrkOVTjTeqqjhbDQvpOlOI/i4ldmgUjVLhVLXRJzynTWetAfaMxnUCBmno/PO//vPwX//lv1aKPQ7D/fa+sK/rvhReppd2QdRAuX4oj42pRqviTPe0epL5OI2MdMPSKBKR1dMrPMcf5z/qvyN19nX9tYzBINnagoHXAzBW52/9XKcj86x0PFEpP++EpzYpKE/vwPQnKLN5eO5vm2/qksPyh6Yx/i+jNsthfRDGtPs/d8PmZTPcf7svQP5uObzuX4eX+3IR5JpuX7bD6rgSoE7mgdUqn/3j9qOuMX8SaKavU+kInooMfHo4NZvXKKZAllVHE4UkmgT39Zrw51T2nCsYiwCPkPG1FNqlCejZVy3Yi32Y7VeSUrYpcy8r2LXRUM9R95L3kfAKTxNbW4IIen05kNjkUKLI8B7vH8tGYLUqp71z4dm9cETutYIuvGo8tqdaB7zWp9UnHWxSe+GSnD2Dz8FmSIjSVOUlUlzHcoAka6MkZtZc8/arKgelSr6+q7lfdCHtmKd1/lCe2ZIxg1dIhotu6vakmWnK4ARHPpPwUNgRTNicJr1eynYp1RMgt9X0W754NJbgToCcCiclQHPtYB1ojJFDfbnW5AxrBbUi9g/VngSmX6u73MZevVf5Zk6c348m5dWsFWGN4M7GEe9OVfbK3sD7UQ3PaV1QAAeG8U7xT9H15PJLN8N7GyWtocppNbLONQAiGtJlJaV0sRdWgwIwa6K3IwHbpNz+MKFEMYgqtfxe1zWHLs6V7GPpb6LvsC6h4DcPkKS6OTn4YETvZF45aTJT3JS8UVpZAqUYA6LMiusaJHGPDSrK2+NZH9QKzeJIXs8iy7bMw3PW4V0pcPq9pIuWTJWHrDxzMjlrYYFyYZW9ZmTN3VHKAWXBZH3QB+6mNuIlXTtGpNCJ5Iv5Tigz3FB39MW5pPTgcEAe3lMk6li7A8opphILCa914VHSYYa8btMtjQVOS2Vnyp6svizlEhs8ifxtQQZO/pSLOtBcwv56EkiZCM0ANyzELzutlHm3SQdrf/aHo645OHQH2qfDHZ5oJjmap3THZdQhg52qJc1iJRv6SwYAMhmk3+X8ZH6ZpJiR1NNKkneaXJqrUtGsrddS4weaTxmOJgdMuIc8wpYI3YnyWKId0M8uxQ/MpAa8RMrHpmTje677wL3zZ9Q8t9+3Pj+mbJ4ACh1KvNIV2EYpiOue7W7rRf4qnyZx+SgJhQO+uslpuhvBRq+7tp7oeB1266omtEbTCCEQ7ct4jOEIBUfWl+eRtY9N3FZwWs9aP8o218uaSb9UBRIlb+0TSunLSvtE+gST6WKn2xBH2Ai85+zDVArh4OqaeJop4huhdrE3Gb6QmAWOiWbGqFqYf5wz508peMF/RiIuvQ5zmjms9PtPBT3oUPx7WC4ww5w0WMKulLAmaEdKqrc6TRYbbEsB0gP9Om1ZTOCTmVLhBoTm4OfQ8gOERvnHHTXNAI/lgNf+PwHS6bt0HiP0GRpJZ3yuz3CxLwkXFwqR7VW1iLmxBK+7Qdpxx/tjiTt4flqBgi4k2SInPOKztvdM4ypjmSp76Y76xJMUPl1Usux1YVXqRILfOUAKtz2XlJMcAdkEUFGI4wQXlzyUweKgkoV7TE0bDXIxGJ/L/gTIiKKqYRKStQOk9PgoicCGQ8nIgWJFItEqGEf0BE0aK6kO+JkWMKPR2Anr6lBFpcVS+HzeCBiElxbqRrixbVSR90zwOq9EmQphP8K3ISFntje0n4wucq10AM6moXAQLAbhnpIki3/5oShf4pZyb/CdXq906PDcZN8RE5Givg83BV1zSdsIKwpOELXxcGFZey6ew5GpNPBONYd2HqN0wIMlokNuW1kUWaOm1xa78pdelko+I4gJkGSKClrASCQMi4061r/c/VIk8cVB3EbwSs3Bwxe+bvU5c2iD9fJZ9ru9AiSc0WmaymmRSTeM1uAJg49eVtJFldcL45LX+vkmJWd+pJpPWFSYPB5FMMFuKGZNNTooe9frqhTNyc4v1WHnm3XGe48FQzQY+nHUyBAKLphvMJB0S1d16A+P1tXMaOhbB0iwL5Vdnr8FH2iOb5SZqxId1alhp8EETTa8SOSemZVga/QFL4saVgeLYzE6k2w2AhBKXaawaTSr6kyzB/ub3tz8o+qLSNe2nw1RXR8ckrtpCxpLWxbZloV13p2H6aEsJSmZYj2bLEhGQtdJv5NpCmXRhh+kaGNtPzLC1XNJOuHPDB1EWCsnKSbzPM/lqEOAzxkBh3yeTF5IfJYmhFWT1K20g5v0IJeFdxKEdaicihhLea0M3VaoCowmvgc0V9Z2cTMGHiONGzQBmfSAO+bMXyc0I2J0sc1gCNbXNEF7/b+On8g9VrNgexAnD6xXWeSx7pW4pdexiMvJ6BnTvBZHlPdLRsFUUgJwqCeBbzRtwrUat80HXFYSl2fBBskspR6FSMJ1XwfsYlOb1+Ofmn9Gxv/zQuT/5YfSBojyUZz+4lMjcrQNyjgUo/ikDr1VoIZXOwNurAwFjYfKZL3RgUngIasEw9Rhwef/uhgWT4WjiWe8qW6smkp1IhQZ2uN7wVgldDschsf5sYL2VKpWBG0dAmRbTEiNS5WpdItVGqPu/lqiJnHX3Bw3zS5F3FIyT1TOfRgAgwQ/jtWx9CLBOqf6FrncoiB8dkj47GUEqLkHd9Nd9Q3mCnKf58+imMVmOAIluV+at7dhXapD8SDNMxX04kEEhjDCAADiUDVKc+itAyQfSumzrQ6kWO1yV2N1q3Ima7afXkhpFkhx3B8m4rARdmXjJEAGDI4KTgRZ1bGMJiWlfeTCYufgTZrAkowz9BE1cHhvWAo4q437WgzBdCE39ttFqfjOJz20iVOpT3MdEoTVjUOCyfqEGcqn/FOQ8ygiWYAmOJYPjSStRtO2AiOeICK7Ws5JwSkCqP4STCG55GqWwVuLMZeux8oZylzzs8LZmIxwRhorBVUAEI6nG+E5JXgyPgVI6DKTS2Rf45RkCZAqVbvGXQ6uLOoERy3uca8gftwcdY1xu9MYJOUQZTT7a17qsGjdb7A6RuBM1ifToPTSWvCsdkbWwr3kwNCI4LipZhO6ndeX27ibH6EmSdi384dWhkPXHMuEh1FCq+OnOvzE/zQhXO/bB0kwvGzaOBImSBLEls8FO8U1kApFzb/dRtQgtCHXn9ZSkVL2mXLwe01/KNP+XE0Udcm5daiU44J6rHHAiKNQ3fBN11qQzaHWAX9KUYhAZCFr1pUCD57frJtDKYcHalkfa3onjgKZZZeArrFjleMx09rUKCQTWlLigihOojNfC5dEo5TDfFyIvkODBWyf60iAY42BPZKhinNpPmwO5nTUI7+WQzm8R8WWjOj6YBdOjhLTskYoYzz4tgFyu2vcr6agwgdHjZixtLkIvtFoE5mUkTPKIBoF7iyKxwXgbhWQZHTpKHrHVrbK+BYpNKWZCci9O5s2NtasEELTCHKTRheJL5jzZBPrwj7kbEoj4lIiqrwPskaCFZkNf0pdhWCL+sphrs7iuRwTKZE0Anl1Y8PYHl9sRAWtY20eHSLWygwgrYDiEjwNEGUd3lSiSpC++JBL0NFkzWVTVBoCJ9npXEA9i4cFKXX1y6aC8HFugTIufFFbF79sLhV2Cd/iF41zpO9fOuKhzIgeA59wZeWmuZSbyD7y2SPC0byGMpttrUk1KMb6GZXXno9vtp3AARyshgaEN1NeGw8NxijJu8z3dsrQzfHQSj0JXk1t3E0l/ayfL1Mdct9bnGSlQUlGk06f87zW/ReUQrZ0PSpgMP7HBuaQBfwnMNBky3gdByCEbk1RgZmea5pKARl80F7hBMf7l3tlqLEEUXb0ctGoKw246VuJzSpIvVYGxzoVbr2uw5muLTCJLBsuZZcKYwKLCwUkpsvOq+HueFeCKXyeRdnlqtFnXUZdq2OVpxLyuA5lPGfNy0A9BOnv+++6l18vXwsiADPH4OxlLcrR4XCoqgjYKGIVrE+Emt3cLHJDjSnrWpHJcghzjVQVP2p/fR++FxWMhqKZLRpBXDypcaOG3qJgFGXFYzVSgRFklme2hRgdTAv9PRTFyZ5CfUipHCFTpeL4SWeD2ZO5kYzJwMCR3EjRYDk4o7tc6YQH3FdpF9FPO+fpFLEgZ0x6+BmNU2XeEwtXd0zTmRY2ieIP7mc8nZVfdLKZDCtvDmgY6EFuq3Oo4ESmeL5qgepPy2E1JZtzUUrStFEmSuZ0clPBKtkZ8ZOwqW1B28w04DyE5ShuWzouiiMZ/SIosXjUiOH3LQyizAKMiFEtMnRPqkjVnENkrvcVT2XhNXxd1s1TJso3Eb5IJ1rYaZz5ULJeW8mawBmDJh9MyhdMgVFjylYLmWEO5JJrlcCvTce10B6te68KIHL8nQhGVLOblFcUhHo7CKvWp6n3g4jFr2xhA/RrJI6MHsgk5luMRzKJc5rrsIGNwXO9LIbloa4jJaK6yturfFDUtbb4RwzbpF4+lWp+7q8+6+kqFz8OGd032A5UOdjFPl2H4XkYLo8XiV4IeiE2nSszpvEiGArqlZW7JT5NIoLQxOJVvEeJTWD/eqzx2P1pr6AKDY3gCKYneT+gK/MhQ7ER9eZaDSKR5g0diFoErrstZgWz5+yN+DpJbeh01sGsUUBk32yjkJ5B1n8aqrm2cZ/MGCkJB2uTaoP9pkzXfQIdbIv6HFRykQ3MXiPb1N4hybnOUlEXrIWnzd8wqfLbLRcIKG66ZFFG90+Bk/S9ExEgfU4WEpURzcUiOoGEPB1FlyvBvlonc6puafiGIuhaZSdlvjIEl9i9okkyR3HL6ICFhrKuxSRcg6QWziJK3fuTutWHL+V6RoaoQP29gpC8YHwgQKERFWc/CNSWnatPxxCqVZZYVEC4LKUv5GKT6+O1InEEsKDlSsKfUbnBHpT53V65JbQlHUrInHmzCJA+3HBYfl9dRxYcKs7mPZJFs4HT8SfbUNZHhjkXRhTpqgiNNHWiwTQNMue7OsEpiWSrQVZ08cz34qATPnSRPLjOBR7UbDydaN4bJGYFS2PTlODi0UEHcbnONdXYm9kKUabpqUIiJhMg7b2sTNXYlDyi8eq52nnTmYnWCATy1bbEiPfFuYQtoICO4j2Vw/Wke3f8XoIOEu8FnyPAMSEDnWdjMQ2wbiZ2Dps6HE1zASuW2dpcJldk+Forc0ECqqboKuNtgxDJt8swP82a/gB/pHzOgcLf8Tya3abEf6yg+Pr8Wpjzubr6L7sXZY+XfU3IPI6PCpLiy+Jb5LltvjgEeH+qKtxElHyZOb7PBJaFlaiW8/CyeVGFhYkX95ZxP+0ruut4c59Wek9k2mnoZiRVDSMC91BrjoQjTSU5kI5H7U8aPrLKXexblg+LJhM1Mb/LgSJqmDVVgcIkQQjlydhk+J4R3m7KV28ZIJuunk/f4FXBC5NxZBQxqbROC8tv8YiaSzqf8oa5Fjk2dI90obhwTYAWbM/jTr04qha/S8Fek7BxMT08H+tYcftMkuWGs5A0zrUvAi83WhJUh2thO4cb8V1ubpzA27LRbGo1blREGj9kdTWHODCYOuJlVzfrhZSAoVbkuRQ02VyhJpExW/RWn/Fcr5GFLXqJm1IJ0rm2uu5kaiQ3jBXyXszZky+0nQib4VR8WJJtJUjGvGxdXUk6qmCYUnihzGcB+jDSdbI4ceTkVOL4fXFtOOElbTUWRKGAT8Cjw7/wzLWz9VB1EqxTJkeHUJ1Ku0RGxzPUoZbB85mTOboiUSnOWqDEh27DeyY7t7CtsFvW6qmoMsoIp4I1WqVTJ35hjDmUX1eF97o6UolnOChc0MAF+l00QI9VmsKDJDuV7uOrSfHIk9lCI/CQEgcU4g+lzp0Rw95LXh1uOuRwZKH3AFvg421YSk0fS4VFkEOHCM+NIj/0qaGyNAIbgRIIAe6x1Io4iNBgoEw3rU+0mllS4U0WMHqscReIzF4jnpNADecWmLmGxAP+P0wTnltQhilDsVLIjH7YK1qzJpCrtxCFf0MHMfFqosxvHSCxGRDYPpQ8ugjWnueNBahoHpea1SXis9jZTMifK646wMa3JFlT7CjBTfjgsok1l0o4hakU4UCJHmC716hTq4PoESnRYOhmhSvpciETA9x4xpm0oE7lPy2xAc3RL7XYpueSamcMT51ijMlWldHpJD5Mzbo0SicNMzO1SF3DeRzuz/fNbD12rspSyC4wkd+4889GRJbssKxASDN1RTt1qAwDegPnA3SddW18rrOuC+8/NCs3YjKN1HirXiCCFLbnJjACRsZ7T2afBRRPYZX2l4uk+AluZMbaSJRO06i/R9rtH6//KLAcWgblF6WPus/XXZmOXSb9PfcphPvInLUBBI+l9hxOYZiWxoqqj8Qrohi0qipDAQ7+qYMuJXPoP5ruMV8zPEYI8+omfyxmBO9TDcVT6VfqkJu3pchjo6l0ygMbRP1egQ47i9NW115NQIICTZXxKskxHQhMj5F1U7pfZgVH5L1oVCL4KlGKYVfz39CAVtdGIVo/1SGCBBvPDRNAQw37MqYSC2R9HbZftmqWnO/OyizTGAO/laAyHWn7UMdYr3nq+BDhvhyH4/Bt9U17Gy4lENTj8rFKV2CAWHKw1t08TPMsU1OxoRCy4MAq2Tyk4shY2Zumr9FhToKk5ilCN+ZQ87xgq8SG0OLSjGmvczV8Z7FnZa1O7CJw8rfqQPzmAElaHDku4TOWLoupvLJIi6BGxCCNiJxKAe/DkWre2t4EwiWcueS07YVxkxlGKFUb10PvyQqCzaRsV9DsdATT6ebmx5tbmzJiCh6zUmYGdgo/0P7QKq3oDB8t7kq2SNCBCxmIwH+X0Uidita+ZCOrrB1LgSak2tx0TWt4fCuNBDUrfAKnjGzmXJyMJ/87JTgvv7ENajfqpa+IF3sCRR1GRt/0YYu+1TQLLYgbnKgFzcxOW7VdHE865wbfwYhkLG8DJsEYmaqxAni0QTPPHauLdCR7c7GUQsGX8rlDOM59VZaI947x6UA5yvxZl85sm/iGDc3EG8X7fON1RVbuppDWukfnyJbbwcfndgWljnfWrvl5gX0iASf9x1UNHAgz5B7rkl+U+QkrPldjT8K4hgG07rnXdvmUdihSe9eVDkWyQd0n7o9HdjVCh8TlrhghiGboGtK3AyvfVqkJHikuMxxYyl9nYj0NLiXwcSwaD7glwU33lEqPUta0vl/jxDq0PEyQzxL6URSI8qW14j2cgy0YeCoIvR8LAmfNRRSlVW+daHKzCklmmfK7GxZ58wD54fChNgcbnS/K0cVaBHKpNI/bCkwmgarUQQ59Y126oQDjCNTGsUzjfot126jNvGtRAppcUE5AnXCmg0RZJSWUiOPWpQPj0I24GAIYb00N2W/Oz/qT7ImLCeYn/UnwQbLh3VwZJItvUxuouQ2yodBcpCQ6rtW0YKEyQqgu7nTU62auOYMkgPzKFOeVAjL0C8nun1+rrOT9m3iscplM9mRSvZXsIyOn7I8u5tYTHEAb07JmmMHgHgpfejm9FFj+6KwQ/T+Pt5F1EKRlSWBzL7KKCAHn9A+RXNM2wBmnIsjT9WaDMfan+Xjmi5OdItmPevX4ImmqHEJN/9GiqpE3IwCxsH+5/qLfp/GRDFJVgEn53Fd5OkOodiNFhwdZxmpb01dWyAkmHH6n/MptZKYppNVRGThQCVVBFG0IUo3rudhJYEHiHetdCTTQCHOA5POlsUWg4J5ozW9qU2vSCeWfj2VYNn5wKQjt67Qc7h7vhv3jfvjwlw9qnty93FVVsSjrB3X7afggEH056RryMwTJw+uhxGL3xT1EOUilNxUch8jzoPXw+fhZ64yZf/bf4f5Q/u7rjTrajMhGT5N1of1t4d/ss9P2pEz89a4y/1hiAD2pY4wdBWth2qrkPx6PzR8pY75kivFf12QRE2ym66hfMd+1UluBcln3VgcZjSLrkkrEhAGNZb0PPhtz8hjpaXafppObPFwn/hsuqFSUrgddTw5x1t6bB0g6THmk1NHmBmv0qRFaT4bXRdikMwwV51o0kp4BHzxTGB04FAPwHh0qgSUTQtXNqUcv4a9TD+yJccZFcaP0unRMCYq8DvBTKDPm7km5xF1f4UCcNszfUvp0rovBTlno2nyxsCWzJJvwdIQyRgtzNmOrnl6SCQt366Wawk27HMrvxfa3ocSo5PdGzOheOHrCytx8yb3QIWNumqY7/Br6HNCs4LlTypJJpZHBIjMGGaMybWhnm8IrbfXQOurG0sI4UJcWKO36o0Aqn43FKuXrzpQtM8Z53713TrikvYUu14L1xZ8SJe7tg3u5fqhjwUDTsLPQa7ipTfjVmHQYDMnwo7qehhDXUxNgCx/mzlyDd4tuZuxOz2vh3XTH9T5Wl2F1vypHxztT4E63aTAFEMyzyOQQCjFvVlgdNqxghewdC44okz2X+rrWJhM3wCrrm5RgyncdyLZK0MQaDb9xVuCknMe3m8kbBRxPIEXol0ey7avhCJX7XHMTyAMnKQ7MJbYRkerATs2czaZ4wSTFPdWMSdl56N6bEtZ6G51VSi9Q3LJNDo7hpIaOOLUJkOERW6hEaxG2Rkf/+1sev/mn/+n0Tz8o1dC9IxOE8c5FwQ6SiQWyI07oX8ZfdMrS/YpdJFMQEpxg6sGgrJRRmCVlYR6rCaONCI9yqrGzSOvz+3xgsBe18pHlWm/1nREjYWCQQcEMWSS74l2qbHXpp244FSID76caIQyVg/dOkKQkolvNZEN8saNmg5mSwHsMjYzPKbiBSZqbqPeMiMB6KQpRnNaUFTE9cy07BE0wHKfqMu+LU5fNRMl1ej3ptVAGV2BdlWKQxsYu1+HwdChAHP09Z4gJng3HI7guZ5Vc8uyYzKOEc3iujqoCxaY4mIiDRD9RUAjagVybU2n1QecgeHycP2qzYoHLdf3z8Ged1AjsIjjCepCh2WXbrj2BGRUmuqDqfh4h1g3ipaZZw2sjd8V7QlWeMo+VGsUjPRdGYKyJ6a6J06YhqM4pEl7esBhNsUnU5LFASoYJlC0eds2AK8GBzOjD+oOCD4IiYgOMy+Hj9FEZT9S3KZH1XLsyj9PaIdNalzXp8vfVCJKIBGIbT1tVLT+9/KTGDFSfaCSKk7o+DIfNQSwJGU09DcP0NA3nY3XnQ3GR8vaeCY1h2H3ZlR7AY2X5h++lvqQmjeeYlald73TPMMn6cv4yfDp/Gr6OXyUyi7yaAi2siPN1WD+ulRUi96Zm1taWyoexqH4vdZipc48s2flOFiSPp8c6JKPGTpXmilCGczS5aHAuSshYe88z9JrI8SHHPSB2cG00T40xnWOMTLxi22GRFE3ArcpqgdeQXci8Ll7qdVYQZf+xnv6WIPmbf1KkS3/pdIC24lGrjCCmJR/l6UiRyUum65oFO6nBh8LgglHWvu4wBYO2skJ11zqLWJuajui4aXSC/hGFY+GKxuza+J6pSn12xHcmSpQxRu+OeOOZZAHvFsOI/WygglaaRDAhXMeMTzqz6dWNRAVhITFL7S6cPga9CFsABJOJ1JMER929VuecrAMs1T7EjefnR8MTPS2k92kyfrMM6KZeIpCarKJx1uZO69GTTMGScqLLhwQLAPMBe8n+liU4M0iWrk3iLm/vkJjOcMtwYkxv6KJluqxDrCb8WZowir1gWsPAc9rho+Y5hN/yVqbKxpWVmV7W1prXkKg6UIdsWKZBAUMHuX5hXigwruvPvPe8X02zOJDnfiVz0n0yxpphDHXDue9gcZD6Yy8BPk5g83puc/i+1+Ec9joKXB8OLSaTQrHRCOvKa8/rfHQGmH5DrmMTKLEoROwlek5z20eOF62qMkOlNW2NjUePoWGLfRZpaToOJWWNTEZ5+kvr28LKMsNzBasslQZdZ/2ce/+3yJ0trr2V3Pvj/fH+eH+8P9rjt4fS98f74/3x/vj/2eM9QL4/3h/vj/fHX3m8B8j3x/vj/fH++CuP9wD5/nh/vD/eH3/l8R4g3x/vj/fH++OvPN4D5Pvj/fH+eH/8lcd7gHx/vD/eH++Pv/J4D5Dvj/fH++P98Vce7wHy/fH+eH+8P4b/8eP/ARv8+vc4JNpzAAAAAElFTkSuQmCC", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "composite = np.zeros((*ch0.shape, 3), dtype=np.float32)\n", + "composite[..., 1] = ch0 # green channel <- ch0\n", + "composite[..., 0] = ch1 # magenta = red + blue <- ch1\n", + "composite[..., 2] = ch1\n", + "composite = np.clip(composite, 0, 1)\n", + "\n", + "px_per_um = 1.0 / (RESOLUTION * 1e6) # RESOLUTION is in meters/px\n", + "SCALE_BAR_UM = 5.0\n", + "scale_bar_px = SCALE_BAR_UM * px_per_um\n", + "\n", + "fig, ax = plt.subplots(1, 1, figsize=(4, 4))\n", + "ax.imshow(composite)\n", + "x0, y0 = TILE_SIZE * 0.06, TILE_SIZE * 0.94\n", + "ax.plot([x0, x0 + scale_bar_px], [y0, y0], color=\"white\", linewidth=2.5,\n", + " solid_capstyle=\"butt\")\n", + "ax.axis(\"off\")\n", + "\n", + "fig.savefig(\"fig1f_synapses_sim.svg\", format=\"svg\", bbox_inches=\"tight\",\n", + " pad_inches=0, transparent=True)\n" + ] + }, + { + "cell_type": "markdown", + "id": "d6a56793", + "metadata": {}, + "source": [ + "## 8. Plotting the Ground-Truth Overlap\n", + "\n", + "The channel-overlap ground truth marks pixels belonging only to `ch0`, only to `ch1`, or to both (true colocalization), with the ground-truth punctum centers overlaid as open squares.\n" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "id": "f5f84486", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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Rj/RHJ36U9pTn2yavVwoMSMoo8ddXlLeKK3E4LU5EEpFpn3cscgz/1fVf2OjeiM2ezXN7M1G8Ym8b0BPR1mh2NJej4t4rYav36RWAqGAl+sLo/q8DE+vWJPojUC6xciI2lgGbygBna1b2hy1ImhFRrEAstmVOmbV/x1Pxaav4iGE/A6kBBCwBbHBt0AodiAHkMzLeYhQDxN/oBYIJrbVorS6B/9bVkEVhCyq4FqOaVCZ+9mLIzuC+k0h0py8UNoVWWFIC6tzAtkrIfR6YBzP/+eAnjmZFrGn9j9v+Uavm850j35lSzWd79Xbc1XQXDnUdwrc7vo1rSq7BlZ4rZ/bi4tQqmAB+3AJEkrAv9aH6ge2wLvFOVKmmwqKE4+h45GXEzulV5JXRuBaSl7XOD7yrGqjUy65dXXI1ljmW4XPy5xBTMlcvlAFJsyJahCIEHWYHfnTyRwhL6fOyG72NuK7mOpwLnsOp2CmsSemVpNOI1oIoa3bxFEJR6SyhQD4fAaxmWCo88O5ozNtiq3TplqMSTSI5EkXwtTaMHu/BjIhLLFZZW7cbGwJaS1JcdCm3lKPUXAo5w3NfGJA0pzJZoi6kuB558fTsb8rfxCPyI9rpt9j+Q/kPbZsSkKKlGE+v/dgW6sGyuqVo+tqd2m0RjLJdn8JIhUWNJdHxH/sRPtyp9VTP2KpS4NZ6wG9LC9v9I/vxWvA1xNTMVptnQNKs5riOT+MSLUm7yXhtEbNs1rZkUg9K7fRZvagFKYZuiBbBWL9LvacSH777bng2z6FkGuUVVVExeqIH4bf1dW4uyzRWyKTCCawoneisE6fT4g+1GIN7MnJy2nWRxGgKcd1cfB5niwFJWS2TFY/HkUgk0PXdVzG076R+pwjK3lHIsgl1f3Oj1kstyFYTbHX6WspEaZZ5gbuWASXWtLqhB4IH8Nuh32IwOQgjYnmIz276LJpKZ18DkwFJWWW1WmExW2AeTk6sf6198HxOWAJOLRxdqydnOBClEWNeRYWnSgdQ70ZMTiCUHEirBXAuei79ewCU2kphN+tnOKL12FzajFX+VZgtBiQtOMlq0haYd2+uhbXCw58AGat1AR9ZobccTRKOho/ip70/nahNGkpN/tEdJ7pt/mzdn+Ga6msmLgeJVRjnggFJ2SdWVCh3w96oT/WSbSZtMXl7nY9Hn6YnhnWJjphqlzaUJ2pJYDDepbUYuxPdU+ZojzPJJm3crVi7u6GkAfPFgKQFUXHfJpTdOVbEQgLMXgePPBmrcACfWA14rdqwntOR0/jv7v9GRIkYhqPojPFavfBYPbiyfIZjby+DAUlZJz645hI7IDaiy7UcxeBvcWrtt2HUlkRPrBPnY+e1jpiUOv20w0pXJcod5egz9WktyPHrj/PFgCSi3FFqAz6+CgjYAYcJ56Ot+E7ndxBOhQ3DUbhz+Z24u/luXGPWrztmCgOSiBaUGk9ps2eSI7H03uo6N2KVZrRZzyGhSkAEaI+1I5gKasVvp7PEvQQ17ho0ljRqPdeZrmjPgCSihaOKghQRnPn8L6HELyh24rYA9zVjKBDED3r+EwMj+rhG0VttFI7CLfW34IG1D8Biys6MKwYkEWWdqqqIHOtGKhKHklD0cFxWogejIL6WWKFaZcQQ16exGlxrXO1fPdFSXFG6Qiu/ly0MSCLKPlVF748OItET1GdSic6YP2oAVpamTye8RF1cYVP5Jnxx6xe1sY3C+NdsYUAS0QKQ9Bajw4y2oW58+NhXgC9a9KDUKt0p2rzqpJpEWAlPO6daaLW24knHk5cspiJWTcwUFtkjouyTAOyows4P3Ya6hjp9fKN5skNFXGsUnTFiMwrHmRDhKIqqZIqkGo26JCKaJxEvb/S8geODx1EVq4I36Z32eQOJAXy9/evoindN+7joqb52ybVYV7YOtzbcmvVT63FsQRJRVu1r34evvfk1vNP/zpxfY3npcvzVlX+F9zS8Z8HCUeA1SCJakJbkm6E3MRDvx6YT9ageKNHul+xmBN67GqWVpbi/5P4pxSc6wh3a2tbj5rxS5hwxIIloQRwMHcSR1CHUvLQD1adqtftkrwNlt2+Dq7YKy7F8yve81v2atmRrpgeAzxQDkoiy6sbaG7HEtUT7t6xKWBdYgvIht37bZoa1yrjkXZ2nDg9ufBCVzsqZr46ZQeykISIywE4aIiIDDEgiIgMMSCIiAwxIIiIDDEgiIgMMSCIiAwxIIiIDDEgiIgMMSCIiAwxIIiIDDEgiIgMsVkE0S7t378aePXuyetxEVexdu3Zl9T3o8lisgmiW1q5dm/G1Ty40/tpHjhzhz2aRsQVJNAfZDDARwJQbeA2SiMgAW5BE85RSUjjSfwShZAjrA+vhsRoXgKX8whYk0TzFUjE8cvgRPPzqw2gLtfF4FhC2IIkyIKEkEE6Esf/8fnQEO7DKuQoO2aE/GE4Cxwdh8djhuaoOknnhlw6guWFAEmVIJBHBtw9/G36LHw/WPIhqa7X+wLkQ8H/fhqe5Eq711TAxIPMGA5I0akrByCutiJ0fmtERsZS74b12GWQLW0MTv0ySGRvdG1FprYRTdk4eLLcZuLoKPf4U3j77c1SVLsH26u0wyTx2uY4BSRpVUdH3s0MY2ndyRkfEvbkWJVvrAQbkBJtsw7v970aDrSH9YPlswAca0TZ6Ev/v0DewtXortlZthQkMyFzHgCxyYkH34d+1IHK8B9GzA1OfYDcBWyoAtyXt7q6KFF4++Thq/HW4qfamom4NieVIt5VsQ02qBl6Td8ri9sOpERwIHkBHrANJNQkV6qLtK80OA7JAzWY6XKI3hFQwNv2DJgk4ZwcsclqoxtU45BdlfPAvP4jra64v6taQOLXe4d2BoByc9vGh5BB+1f8rhFKhtPvFcbw4TCm3MCALlAjHeU2HE7+3TjNglvWQHJNSU4ikIujv6IctYQP+MnP7XKh8Zh/eF3gfEmpCuy3+mHzz4DexOrAaO+t3QpY42i5XMSCLeDqcaMFAUdH68G/Q/4uLnidOqf9yPdBYknZ3a7QV32j/Bl793KvaqSJbQBMHU98uNNY6LDGX4EbfjRN3HwwdxLePfxs7G3bilrpb9D9GlJMYkEVKhOPgsycQ/EMrQm93TD5gloDra4A6N1BmN/x+i2xBia0EdzffrV2DK2pJBXiuHTjZrd92mYGbaoFS22LvGc0TA7KIhQ91aD3XaWQZWB8AVvumBKoi/lMV7bbolPFYPNpwlaKXUoFD/cBrnZO91lsrAY9Vn6t20XVGCZL2R0WGpA2vUlUJkCW2xnMQA5JmZDg1jGf6n0FPogdRJcqjdimhBPBkC1DpBP6oXg/KC9Tb6/Gxqo+h6qwdrU//Gt6rlyJwxzoe0xzEq8M0SXTGWOVpPxUiFA+FD+Fo+Kg2VIUuIaEARwaAw/36NENx+4Lrk6XmUmz2bEbNYBmGnjuJyLEeHs4cxRYk6WQJuLUeWOEFatw8KpkwFAMeO64fz/c36qMCKK/wJ1bEZJsZJo8NSjQJVVGAejew2r/Yu5WXZKcVJrcNqUhcGxmgiSvAyWFgNAWE4uJKbvo3xVNT76OcwoAsYmUf2KDNp+783qsYeeXsYu9OXv+hqfnMtYh3BdH+tRemzkjqGQUePZo2nnTiWiXzMacxIIuUGL9oq/HCWl0Ci/+CwgoGxOBmj8mDuBJHWAkvyD7mC8kkw7G8DJYyF6xLSpAcjiI5EhWVdCdbiq3Tz7Kh3MZOGpoR0bHwiepP4N6KeyfrHFIacYpd97c3ofHh98JaxarihYAtSJoRMTC8ylqFmBKDzL+rhi1Je50PJocF9nrfxLhGJZ5Eoi88cW1StltgDjgnHjf7+AcnVzEgieZAzHO/1OqDqphdM3Z9UU0kEe8JTQakw6Kdjk/MMTwmQfr65PXJbC4pS7PDU2zSid/d/ihwPgxERe/q9GwmG5Z5l2ktymKdh33PPfdcNsAkswzJMr6ZIFvNkKymyc1smnz8os4b8driPWjxSapWsYAKzXjr5nJrN4tCua0P70X/00f0cXouC/CxlUBz6bTPt9qtqKivwA3bbtCq0HBx+8tTkymt40Yc6wuHVxXrH5h8wlNsmhRJAklV3wxIUQX2ljikhAqkz6Ajo2NmNsESEKfUlG8YkDQrsfYhnHn0FSQGIrBWcMYNFTZegyRtDJ9nWwPMlxoPGUsBJ4a0mSGpoejkbBGiAsaALHYSUH7PlVj25dvhWje2TKnhvOITwI9PA6MsVkHFgafYRU50FIheVvHVs6kWqlPGW452jIRa0exohss0du1MNBgTKW2Mn3tTLeQOMythU8FjC5J0JgkV923Cki/ehBdKD+Cx7sfQm+idcnSsS7yo/4dbYPY5pxSCJSo0bEGSRhtyYpIgKTIUSa8cnjYCTAwB2lIJyeeBZOfHhooDP+k0Mx4L8AFR09Cpr5VNVAQYkEU8He5i4WQYiVQCwXhQW971IfNDsMrWKS1Nq9WK06dPczocFTxegyzi6XAXEku4huIhDEQHkFD09ZsvhdPhqBhwqiFpUkoKL7S/gJNDJ/Grs7/C0OgQHqx5EI2ORu3xUCqEl4ZfQqm7FB/d/FG4rJwZQoWPLUjSPwiSjJvqbsJHV38UNe6ayaMiOmpUFaFkCPuG9mH/8H6t5BlRMeA1SNKIXuunWp7CicETaJQbsbJ8JQKWgD4ofF8HSlJh3LHlvfD6y2CX7TxqVBQYkEVODOUR/4nrjvs79uOljpfw6SWfxir3KkhilM9oHPhDN5yqiu07tsLp8cMiWRZ7t4kWBAOyyIlw/Nnpn+H1ntdxdFBf83rvwF682f8a3n1gNcp7HcBwXJunXVVXC/uSUphMHOZDxYEBWcSSSlLb3up9C3vP7p24/1jkGNqiVuw46kFFV5l2n9luRWmpDzZvySLuMdHCYkAW8an1L878Ar9t/6123fFiJqcVNZ95F5ZZmyaXCeDaKVRkGJBFrC3Ypp1ax1NiUftJdrMdLpsH3k31KPUvX7T9I1psHAdZxC3I9lA7uiPd+P7R72udM4LVZMVfbPwLrA+sR1NpE1wWjnek4sUWZJESUwbrPHXamMd97fvgs/u0++0mO9b412Bj+cbF3kWiRccWZJETLcnOSCeGY8MTA8Zr3bVsORIxIImIjHGqIRGRAQYkEZEBBiQRkQEGJBGRAQYkEZEBBiQRUS4MFN+9ezf27NmT9aUGdu3aldX3IKLisKADxcUCUmIhqdmslTIb46995MiRrLw+ERWXBZ9qmM0Am80KfkREl8NrkEREBhiQRES5Ws0nmoxqy42K9ZgvFHAEcEPtDbCZbIu2b0RU3BY9ICPJCB479hiODRxLu39tYC22VW1jQBJR8QWkqGK9t3UvWoZb0DfaN+XxntEerZCrqE8oLC1ZipvrboZJ5oJRRFTgASmWGX265Wm80fPGtI/3Rnrx/Xe+P3H7xrobcWPtjZBVOa3oKxFRtuRdJ03kSBfav/ZbDL1wSiv2SkRUVAEpWoZTNkjaGs6jLf3o+eEbCL7Rrt1mSBJRwXbSXMxr9mKnbydcpvTFoqqsVWg/1464LwH8yUq8WnkG33v1RVxfe73W201EVBABqSYVqIkUTJBhktI7XTwmD67yXAWfRV9E6kKDA4OAE8A1VTg7+A6eOfMMqpxV2FG9A7Kck41hIspjCx+QKtD1gwMYOdGJm7dsx+bqq9Ietsv2Ka3H6axzrYPP7EPfUB8+/9LncceyO7K400RUjBalBTl6vAeR186j8YrVgMc7p9eosFZo29N9T2Nf/z5cWX5lxveTiIrbwgekBFR9Yhv8d61HhzyCUSQWfBeIiGZiUS7cOVdUwL25FgmXinAqjJSaWozdICK6pEXr2YgrcTzZ9yQe7XwUvYnexdoNIqLcC0gxhrEz1onWaCv6En0YTg6zJUlEOWXRx8aMKqN4ovsJfLfzuxhMDi727hARLf5AcTEzptJViSWjS9AT6YGSUJBUk4u1O0REudOCtJvt+Osr/hpf3vFl1HnqFms3iIhyrwUpS7JWFNciW9Bc2oweUw/6k/2IKTHtcZtsQ7mlfMpMG8o/Yr58V6QLQ7GhiZ99jbsGbot7sXeNKLfnYrutbvzd5r9DZ7gTu1/ejfOh89r99fZ6PFD9wIxm1VBuEx1yPzz+Qzxz9hnttqgS/09X/xO2VG5Z7F0jyo9lX8VYyP5oP5KKfh3SrJrgTrn0OdZmSZT4mfY1g8kggqkgAvYAett6uexrjq5nPhgaQDgaAiwSJFk/exCXWcZxPXNCsV+DFL8ERmtii1Ppcnu5VnxCbAGzH/JwAgjGtfnbMyFeW7wHZZYIR/GHbT5cUSv8QSf8Sin8Zr92aWWceO35BjBR3rcgZyPaOojOR15CTEoh3GCbjHK/Dah1A31RoCOMt/2n8LbvFO5cfqdW+oyyt974bNYzj54bRPTs2EJsqoreH72F4T+04txHXBi+0obqqmqUuEu0tYeu2XTNrF+fqCiuQRqx1ZWiYdetCL7WhpYv/BLK6Nic7asrgY+sAA71Az9pwS2f2IKP3P5JdubkmKHnT6LjWy9N3FZTCsR/zw3+D9443wapQ4LH6sFXrvvKou4nUV4GpCRLkKxmWCs98N3UDDU+Nl+7uRQIBIDVErDTAndTJawm62LvbtGLnR9G6O0OrbUohI92azU/08hACil9vKuqr0uUoycwRLkdkOPsywJo+PzOyTtEX43osFm6FHivath5QwtLhGPrl/ZCVRT9DgYfFYBFn2p4Odp6NCZ5cpNl/T7RwtRuMyBzgqrq4aio+jZNw1CCjO1VV+OuprtQ5arSCpY83/Y8gokgFHUsWIlySM63IKlwiAHidyy/DY5NDej8XSe6Orvw+LHHMRAdgM1lW+zdI5qCAUkLSMXQ4DBGuroRi+kzpohyGQOS5mVWnSwqMDg4gHingmgsyiNPOY8BSfMSPTOAgWfeQeRk7/QdM+sDwIqxdYdEh1qtWxuSda33Wix3LMf+4f38CVDOYkDSvMTah9D9xBtQYwal6laUAu9Or9Ykyo9s9mxGJBXBkTAHh1PuYkAu4Hzky8nH+ciO5nLU/91NCB3sQP/TRyZbkev8wBVlQGPJYu8iUeEO8ymk+ciXkq/zkW3VJSh7/3p4rqobG6OqdVcDDR7gXUv0aaGXIE63RfFkolzEFuQsiGIYc50vHI1G0dXVBWV8IPUYj8eDsrIyrFu3DgVhtR/YUQVUOy/7VFHN51PrP4VXHK/ALPGjSLmHn8oF6OUVWzwex9DQEFKp9Ol3MiT4PaUTp6ZKVJ9zLplNkMy538AXc6zFlELxFVZZD8bN5dPOcBLHQUw1HB8UbjKZcFXlVXCaLx+mRIuBAZllIhjPnz+vjfu7OByFkVda0fLyG4h3B7Xbp//2Ke1r+YevQOm7liPXhd/pQtd3X0XcawI+uQYITNZ4nK5w7rMDz+LE6AnttsviwmeXfnYB95ZodhiQWSKm3SmRBOKjowiOBJFMTd/Lm+gOIvHyWe25wsjLZ7Wv3utyOxzVpILUaBzx8yNayKubyoDblujXHy9+rqoioSa05TS6k91oS7Rp97vhRkzlgHHKXQzILEn0hdH21RcQUxJI3V4DuArrUI+e6kX7N36HRE9QC8vLeX7oeRwOH8b7V74fD5Q9oN1nkk1oLGlcgL0lmpvC+q3NIUoshcixbsSRBJJVBXeoU+E4woc7ocSTgMcCOC79/zeKUYxgBNWeamws37hg+0k0H4X1W0sLb1kJ8KHlekgajNYR1ZfuW3kfPl7ycVQ6Kxd6D4nmjAGZYaI3N9EbQrxrRD/1NDrC0SQQFGvujFVKzzOyzQxbjReJGgeSNS7gMj3uFY4KlJeWL9j+EWUCAzLDksNRtP7rc4ie7tOuQ6LKMf0TTwwDPz4FhA2m6OXBDJrlX3k/RkZDaBvu1nqoiQoNAzIbLcjuIOJd+rAdQ7EU0BvVi8vmcQvSMqQCI3qlHqJCw4CkGU+FHF/d8EJiZpAY63k5FotFGxhu9NpGywETLabcn6qRJ8T1RjH0JXK0G4q4viiuydW7gTq3GM+CfHap9cy1FrBYUE1cb52m3Jm2PMbYZoTrmVOuYgsyQ1KjCbT/+4sIHerQl6j12YA/WQmUOwD79C2nfCEqDBlVGRra34KWXc9A3eAH7l8xZaB4dXU1KioqIMuythHlEwZkpoh5xpE4FFEXsdEDVDoBr3Xq+MBgHGgLAe2hwrhul1KBSBLoGQWODABldqDKOTEXW4Si2cyPGeUnfnIzzWkG7m4CxNAXyzQtpnMh4DvvANFUYS2NenIYaBkBrlsC3J3b0ySJZooBOU9innEoFEIsFEGyyQN4VaDEClgNTqtFKMYVveU1DUdTGeyNAdhqS5EPLOUu+G5eATU5VohjrR/w+ScGjdvtxsUriHIdAzIDASnqPI6MjAA7qwC1ctqCDTPl27kSVR/bIs5NkQ+cKyux9J9vnbxDnFpzrXIqEAzIubQY3zqPaOsAsNIHNWCbHOaiBcPswtG+1A/3FTUwndPXhXauqtRqQeYLSfw/y/mzv0SzwYCcLRUYeOYo+p46DHxiFXBVBebDfWUt6v/hZlie0JcmKLlm6bxej4gyhwE5WxLwTkMnDm4+ivX+JajCLAOyzAHcXAubxQav1wv3+uq0U9JLjRckooXFgJwlMef49RXn8JTpLfjKN0MUMpuVSgdwZyOcfj9qG/VaiAxFotyUHz0BORqUB0YO4Om+p9Ed7575N4rxgr9oBV7r0WahMByJchdbkLMg5gyvX7cefaN9GImP4DAOa0uW+iw+2CS9k+WygSemIQ7GYHJZYfmSJ+21OR+ZKLewBTmH+chisamAIwCbyaa1JCOpCIKpoLZi3+VIVjPMARdMnvTxgZyPTJR7JFWMW6FZSypJfPGlL+K5c89ptx0mBx6seRDLHZeeRSI6ZpYtW8Z5yUR5gKfYC8Rms6GyslL7yuuORPmBAZktomE+Np1QDPy2Wq3w+Xws3ECURxiQ2TISB546C6vbgSV/vh02n9uwYCwR5SYGZAZYZAvssh2y6PMaL0YRSkI+G4LFL6HE6YHF7crEWxHRAmJAzvcASmbcHrhd65ypslbpi3D95DQsCQm1D94AW3UJTCWsaEOUjxiQ8yQ6XPxmvxaODosD5pgCDCVhgRmuNZWwVXsz85MiogXHgJynpJrEz/t/jt8Hf4+/2fw3aFq+EvinpZAhwRLgaTVRPmNAzoPP7kOls1L7d9KchM1hg6vEDYiNiPIeB4rPkRhf3xftQyQR0W7LkowKRwVsZn3KIRHlPwYkEZEBzsUmIjLAgCQiMsCAJCIywIAkIjLAgCQiMsCAJCIywIAkIjLAgCQiMsCAJCIywIAkIjLAgCQiMsCAJCIywIAkIjLAgCQiMsCAJCIywIAkIjLAgCQiMsCAJCIywIAkIjLAgCQiMsCAJCIywIAkIjLAgCQiMsCAJCIywIAkIjLAgCQiMsCAJCIywIAkIjLAgCQiMsCAJCIywIAkIjLAgCQiMsCAJCIywIAkIjLAgCQiMsCAJCIywIAkIjLAgCQiMsCAJCIywIAkIjLAgCQiMsCAJCIywIAkIjLAgCQiMsCAJCIywIAkIjLAgCQiMsCAJCIywIAkIjLAgCQiMsCAJCIywIAkIjLAgCQiMsCAJCIywIAkIjLAgCQiMsCAJCIywIAkIjLAgCQiMsCAJCLC9P4/v6NhwjrlnhkAAAAASUVORK5CYII=", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "COLOR_CH0 = [0.20, 0.65, 0.20] # green, ch0-only\n", + "COLOR_CH1 = [0.80, 0.20, 0.55] # magenta, ch1-only\n", + "\n", + "composite_gt = np.ones((*mask0.shape, 3), dtype=np.float32)\n", + "composite_gt[mask0] = COLOR_CH0\n", + "composite_gt[mask1] = COLOR_CH1\n", + "composite_gt[mask0 & mask1] = [0.80, 0.80, 0.80] # true overlap\n", + "\n", + "pos_gt = dt.TakeProperties(scene_ch0, \"other_pos\")\n", + "pos_gt = np.array(pos_gt())\n", + "\n", + "fig, ax = plt.subplots(1, 1, figsize=(4, 4))\n", + "ax.imshow(composite_gt)\n", + "ax.scatter(pos_gt[:, 1], pos_gt[:, 0], s=300,\n", + " facecolors=\"none\",\n", + " edgecolors=\"black\",\n", + " linewidths=1.2,\n", + " marker=\"s\",\n", + " label=\"ground truth\",)\n", + "ax.axis(\"off\")\n", + "\n", + "fig.savefig(\"fig1f_synapses_gt.svg\", format=\"svg\", bbox_inches=\"tight\",\n", + " pad_inches=0, transparent=True)\n" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "deeptrack_fixes (3.12.8)", + "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": "3.12.8" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/tutorials/1-getting-started/DTGS187_fig1g_TEM.ipynb b/tutorials/1-getting-started/DTGS187_fig1g_TEM.ipynb new file mode 100644 index 00000000..ae4ae015 --- /dev/null +++ b/tutorials/1-getting-started/DTGS187_fig1g_TEM.ipynb @@ -0,0 +1,763 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "id": "c0496cf1", + "metadata": {}, + "source": [ + "# DTGS187. Figure 1g: Simulating Transmission Electron Microscopy (TEM)\n", + "\n", + "This notebook simulates a transmission electron microscopy (TEM) image with DeepTrack2, reproducing the ssTEM-style panel of Figure 1g. It builds a synthetic membrane network (via a Voronoi diagram) populated with mitochondria-like ellipsoids, then composites it with several layers of background texture and noise to resemble a real ssTEM micrograph. It generates two matching panels: the simulated image, and a color-coded ground-truth segmentation of membrane, mitochondria, and background.\n" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "id": "2776cb52", + "metadata": {}, + "outputs": [], + "source": [ + "# !pip install deeptrack # Uncomment if running on Colab/Kaggle.\n" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "id": "3a6da900", + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/Users/cmanzo/Documents/GitHub/Environments/deeptrack_fixes/lib/python3.12/site-packages/tqdm/auto.py:21: TqdmWarning: IProgress not found. Please update jupyter and ipywidgets. See https://ipywidgets.readthedocs.io/en/stable/user_install.html\n", + " from .autonotebook import tqdm as notebook_tqdm\n", + "/Users/cmanzo/Documents/GitHub/Environments/deeptrack_fixes/lib/python3.12/site-packages/torch/jit/_script.py:1491: FutureWarning: `torch.jit.script` is deprecated. Please switch to `torch.compile` or `torch.export`.\n", + " warnings.warn(\n", + "/Users/cmanzo/Documents/GitHub/Environments/deeptrack_fixes/lib/python3.12/site-packages/torch/jit/_script.py:1491: FutureWarning: `torch.jit.script` is deprecated. Please switch to `torch.compile` or `torch.export`.\n", + " warnings.warn(\n" + ] + } + ], + "source": [ + "import random\n", + "\n", + "import numpy as np\n", + "import cv2\n", + "import scipy.ndimage as ndi\n", + "from scipy.spatial import Voronoi\n", + "from matplotlib import pyplot as plt\n", + "\n", + "import deeptrack as dt\n", + "\n", + "\n", + "def seed_everything(seed: int = 123) -> None:\n", + " random.seed(seed)\n", + " np.random.seed(seed)\n", + "\n", + "\n", + "SEED = 456\n", + "seed_everything(SEED)\n" + ] + }, + { + "cell_type": "markdown", + "id": "083642ff", + "metadata": {}, + "source": [ + "## 1. Simulating the Membrane Network\n", + "\n", + "`Membrane` is a custom `dt.Feature` that samples a set of seed points (partly clustered, partly random), builds a Voronoi diagram from them, and draws the finite ridges as membrane segments with `cv2.polylines`. Some small cells are filled in to mimic thick membrane sections, and the centers of the largest cells are recorded in `mitochondria_sites` as candidate locations for mitochondria.\n" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "id": "6cf7f3e6", + "metadata": {}, + "outputs": [], + "source": [ + "class Membrane(dt.Feature):\n", + " \"\"\"Generate a Voronoi-based membrane network.\n", + "\n", + " Seed points (partly clustered, partly random) define a Voronoi diagram\n", + " whose edges become the membranes. Some small cells are filled in to mimic\n", + " thick membrane sections, and the centers of the largest cells are stored\n", + " in `mitochondria_sites` as candidate locations for mitochondria.\n", + " \"\"\"\n", + "\n", + " def __init__(\n", + " self,\n", + " image_size,\n", + " num_points=40,\n", + " num_clusters=4,\n", + " num_random_points=15,\n", + " thickness=4,\n", + " fill_probability=0.05,\n", + " num_mitochondria_sites=10,\n", + " mitochondria_sites=None,\n", + " mitochondria_size=None,\n", + " **kwargs\n", + " ):\n", + " super().__init__(\n", + " image_size=image_size,\n", + " num_points=num_points,\n", + " num_clusters=num_clusters,\n", + " num_random_points=num_random_points,\n", + " thickness=thickness,\n", + " num_mitochondria_sites=num_mitochondria_sites,\n", + " mitochondria_sites=mitochondria_sites,\n", + " mitochondria_size=mitochondria_size,\n", + " **kwargs,\n", + " )\n", + "\n", + " self.fill_probability = fill_probability\n", + "\n", + " def generate_clustered_points(\n", + " self, image_size, num_clusters, num_points, num_random_points\n", + " ):\n", + " \"\"\"Sample seed points: some grouped into clusters, plus some spread\n", + " uniformly (slightly beyond the image borders).\"\"\"\n", + "\n", + " # create cluster locations and standard deviations\n", + " cluster_centers = np.random.uniform(\n", + " -0.075 * image_size, 1.075 * image_size, size=(num_clusters, 2)\n", + " )\n", + " cluster_stds = np.random.uniform(\n", + " 0.05 * image_size, 0.1 * image_size, size=(num_clusters, 2)\n", + " )\n", + "\n", + " # randomly put points into clusters\n", + " cluster_ids = np.random.choice(num_clusters, size=num_points)\n", + "\n", + " # these points get positions from the distribution they belong to\n", + " clustered_points = np.random.normal(\n", + " loc=cluster_centers[cluster_ids], scale=cluster_stds[cluster_ids]\n", + " )\n", + "\n", + " # add random points\n", + " if num_random_points > 0:\n", + " random_points = np.random.uniform(\n", + " -0.3 * image_size,\n", + " 1.3 * image_size,\n", + " size=(num_random_points, 2),\n", + " )\n", + " points = np.vstack([clustered_points, random_points])\n", + "\n", + " else:\n", + " points = clustered_points\n", + "\n", + " return points\n", + "\n", + " def draw_line(self, start, end, mask, thickness):\n", + " \"\"\"Draw a single membrane segment onto the mask.\"\"\"\n", + " cv2.polylines(\n", + " mask,\n", + " [np.array([start, end], dtype=np.int32)],\n", + " isClosed=False,\n", + " color=1,\n", + " thickness=thickness,\n", + " )\n", + "\n", + " def draw_edges(self, vor, mask, thickness):\n", + " \"\"\"Draw all finite Voronoi ridges as membrane segments.\"\"\"\n", + " for ridge in vor.ridge_vertices:\n", + " if -1 not in ridge:\n", + " start = vor.vertices[ridge[0]]\n", + " end = vor.vertices[ridge[1]]\n", + " self.draw_line(start, end, mask, thickness)\n", + "\n", + " def fill_cells_and_collect_sites(self, vor, mask, image_size):\n", + " \"\"\"Fill some small cells and return candidate mitochondria sites\n", + " (the cell centers that lie inside the image and outside filled areas).\n", + " \"\"\"\n", + " areas = []\n", + " centroids = []\n", + "\n", + " for region_idx in vor.point_region:\n", + " region = vor.regions[region_idx]\n", + " if not -1 in region and len(region) > 0:\n", + " polygon = np.array(\n", + " [vor.vertices[i] for i in region], dtype=np.int32\n", + " )\n", + "\n", + " # Fill small cells more often than large ones.\n", + " area = cv2.contourArea(polygon)\n", + " relative_area = area / (image_size * image_size)\n", + " size_factor = np.exp(-relative_area * 40)\n", + " p = self.fill_probability * size_factor\n", + " if np.random.rand() < p:\n", + " cv2.fillPoly(mask, [polygon], 1)\n", + "\n", + " # Store the cell center as a mitochondria site, but only if it\n", + " # lies inside the image and is not in a filled area.\n", + " M = cv2.moments(polygon)\n", + " if M[\"m00\"] != 0:\n", + " cx = int(M[\"m10\"] / M[\"m00\"])\n", + " cy = int(M[\"m01\"] / M[\"m00\"])\n", + " centroid = (cy, cx)\n", + "\n", + " if (\n", + " (cx > 0)\n", + " & (cx < image_size)\n", + " & (cy > 0)\n", + " & (cy < image_size)\n", + " ):\n", + " if mask[cy, cx] == 0:\n", + " areas.append(area)\n", + " centroids.append(centroid)\n", + "\n", + " return areas, centroids\n", + "\n", + " def get(\n", + " self,\n", + " image,\n", + " image_size,\n", + " num_clusters,\n", + " num_points,\n", + " num_random_points,\n", + " thickness,\n", + " num_mitochondria_sites,\n", + " **kwargs\n", + " ):\n", + " \"\"\"Build the membrane mask and record the mitochondria placement sites.\"\"\"\n", + " points = self.generate_clustered_points(\n", + " image_size=image_size,\n", + " num_clusters=num_clusters,\n", + " num_points=num_points,\n", + " num_random_points=num_random_points,\n", + " )\n", + "\n", + " vor = Voronoi(points)\n", + " mask = np.zeros((image_size, image_size, 1), dtype=float)\n", + "\n", + " # Draw the edges, then fill some cells and collect mitochondria sites.\n", + " self.draw_edges(vor, mask, thickness)\n", + " areas, centroids = self.fill_cells_and_collect_sites(\n", + " vor, mask, image_size\n", + " )\n", + "\n", + " # Keep the N largest cells as the candidate mitochondria sites.\n", + " top_idx = np.argsort(areas)[-num_mitochondria_sites:]\n", + " self.mitochondria_sites = np.array([centroids[i] for i in top_idx])\n", + " self.mitochondria_size = np.array([areas[i] for i in top_idx])\n", + "\n", + " return mask + image\n" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "id": "98960c99", + "metadata": {}, + "outputs": [], + "source": [ + "image_size = 512\n", + "pad = 10\n", + "image_size_padded = image_size + 2 * pad\n", + "\n", + "membrane = Membrane(\n", + " image_size=image_size_padded,\n", + " num_points=lambda: np.random.randint(50, 80),\n", + " num_clusters=lambda: np.random.randint(3, 8),\n", + " num_random_points=20,\n", + " thickness=lambda: np.random.randint(2, 5),\n", + ")\n" + ] + }, + { + "cell_type": "markdown", + "id": "177417aa", + "metadata": {}, + "source": [ + "## 2. Rendering and Thinning the Membrane Mask\n", + "\n", + "`Erode` is a small custom `dt.Feature` wrapping `scipy.ndimage.binary_erosion`, used to thin the thresholded membrane mask. The membrane pipeline draws the Voronoi network, applies several elastic deformations and a blur to make the edges irregular, then thresholds and erodes the result into a thin binary mask.\n" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "id": "2dabdb9b", + "metadata": {}, + "outputs": [], + "source": [ + "class Erode(dt.Feature):\n", + " \"\"\"Thin a binary mask by applying binary erosion.\"\"\"\n", + "\n", + " def __init__(self, iterations=1, **kwargs):\n", + " super().__init__(iterations=iterations, **kwargs)\n", + "\n", + " def get(self, image, iterations, **kwargs):\n", + " image = np.asarray(image[:, :, 0], dtype=int)\n", + " eroded = ndi.binary_erosion(image, iterations=iterations)\n", + " return np.expand_dims(eroded, axis=2)\n" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "id": "de539358", + "metadata": {}, + "outputs": [], + "source": [ + "mem_pip = (\n", + " dt.Value(np.zeros((image_size_padded, image_size_padded, 1), dtype=float))\n", + " >> membrane\n", + " >> dt.ElasticTransformation(alpha=1000, sigma=14)\n", + " >> dt.ElasticTransformation(alpha=10, sigma=5)\n", + " >> dt.AverageBlur(ksize=7)\n", + " >> dt.ElasticTransformation(alpha=10, sigma=2.8)\n", + " >> dt.GreaterThan(0.09)\n", + " >> Erode(iterations=2)\n", + ")\n" + ] + }, + { + "cell_type": "markdown", + "id": "bd303d8d", + "metadata": {}, + "source": [ + "## 3. Placing Mitochondria\n", + "\n", + "Each mitochondrion is a `dt.Ellipsoid` whose `position` and `radius` are both derived from a single `mitochondrion` property: a randomly chosen membrane-defined site paired with an ellipse area scaled from that cell's size. The ellipsoids are then deformed with elastic transformations and padded/cropped to the sample's tight bounding box.\n" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "id": "e6594ad0", + "metadata": {}, + "outputs": [], + "source": [ + "def random_ellipse_axes(ellipse_area):\n", + " \"\"\"Return the three axes of an ellipse.\"\"\"\n", + " radius_ratio = np.random.beta(1, 3.5) + 1\n", + " major_axis = np.sqrt(ellipse_area) * radius_ratio\n", + " minor_axis = np.sqrt(ellipse_area) / radius_ratio\n", + " z_axis = 0.25\n", + " return (major_axis, minor_axis, z_axis) * dt.units.um\n", + "\n", + "\n", + "def sample_mitochondrion():\n", + " \"\"\"Pick a random membrane-defined site; return its (position, axes).\"\"\"\n", + " idx = np.random.randint(len(membrane.mitochondria_sites))\n", + " position = membrane.mitochondria_sites[idx]\n", + " area = membrane.mitochondria_size[idx]\n", + " axes = random_ellipse_axes(area**1.75 * 1.6e-7)\n", + " return position, axes\n", + "\n", + "\n", + "# `position` and `radius` both read from a single `mitochondrion` property.\n", + "ellipse = dt.Ellipsoid(\n", + " mitochondrion=sample_mitochondrion,\n", + " position=lambda mitochondrion: mitochondrion[0] + np.random.uniform(-5, 5),\n", + " radius=lambda mitochondrion: mitochondrion[1],\n", + " intensity=1.5,\n", + " rotation=lambda: np.random.uniform(0, 2 * np.pi),\n", + ")\n" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "id": "806ffe5f", + "metadata": {}, + "outputs": [], + "source": [ + "mitochondria = (\n", + " (ellipse ^ (lambda: int(np.random.beta(10, 5) * 30)))\n", + " >> dt.ElasticTransformation(\n", + " alpha=70, sigma=8, order=1, ignore_last_dim=True\n", + " )\n", + " >> dt.Pad(px=(10, 10, 10, 10))\n", + " >> dt.ElasticTransformation(\n", + " alpha=lambda: np.random.uniform(20, 120),\n", + " sigma=lambda: np.random.uniform(3, 12),\n", + " order=1,\n", + " ignore_last_dim=False,\n", + " )\n", + " >> dt.CropTight()\n", + ")\n" + ] + }, + { + "cell_type": "markdown", + "id": "13bd2352", + "metadata": {}, + "source": [ + "## 4. Background Texture and Noise\n", + "\n", + "ssTEM images have several characteristic texture layers, each built here from many scattered `dt.Ellipse`/`dt.Ellipsoid` instances: uneven background brightness (`noisy_areas`), fine granular cytoplasm speckle (`speckle_noise`), occasional dark spots (`dark_spots`), larger irregular blobs (`noisy_ellipses`), and elongated streaks (`noisy_stripes`).\n" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "id": "a382adbd", + "metadata": {}, + "outputs": [], + "source": [ + "# The background brightness is uneven in the ssTEM images. To mimic this, we\n", + "# scatter many large, low-contrast ellipses into soft brighter/darker patches.\n", + "noisy_areas = dt.Ellipse(\n", + " radius=lambda: np.random.uniform(0.5, 5, 2) * 1e-6,\n", + " intensity=lambda: np.random.uniform(-0.1, 0.3),\n", + " position=lambda: np.random.uniform(0, image_size_padded, size=2),\n", + " z=0,\n", + " rotation=lambda: np.random.uniform(0, 2 * np.pi),\n", + ")\n", + "\n", + "noisy_areas = ((noisy_areas) ^ 200) >> dt.ElasticTransformation(\n", + " alpha=100, sigma=1, order=1\n", + ")\n", + "noise_gaussian = noisy_areas >> dt.Gaussian(sigma=0.5)\n", + "noisy_areas = noisy_areas * noise_gaussian\n", + "\n", + "\n", + "# Fine granular texture: many small ellipses scattered densely, with Gaussian\n", + "# and Poisson noise.\n", + "speckle_ellipse = dt.Ellipse(\n", + " radius=lambda: np.random.uniform(0.3, 0.6, 2) * 1e-6,\n", + " intensity=lambda: np.random.uniform(-0.8, 1),\n", + " position=lambda: np.random.uniform(0, image_size_padded, size=2),\n", + " z=0,\n", + " rotation=lambda: np.random.uniform(0, 2 * np.pi),\n", + ")\n", + "speckle_noise = ((speckle_ellipse) ^ 1900) >> dt.ElasticTransformation(\n", + " alpha=25, sigma=4.5, order=1\n", + ")\n", + "speckle_gaussian1 = speckle_noise >> dt.Gaussian(sigma=0.7)\n", + "speckle_poisson1 = speckle_noise >> dt.Poisson(snr=0.3, background=1e-4)\n", + "speckle_noise = speckle_noise * speckle_gaussian1 * speckle_poisson1\n", + "\n", + "\n", + "# The images contain occasional dark spots, which we mimic with a handful of\n", + "# small, dark ellipsoids.\n", + "dark_spot = dt.Ellipsoid(\n", + " radius=lambda: (\n", + " np.random.uniform(0.35, 0.75),\n", + " np.random.uniform(0.35, 0.75),\n", + " np.random.uniform(0.45, 0.75),\n", + " )\n", + " * dt.units.um,\n", + " intensity=lambda: np.random.uniform(1, 5),\n", + " position=lambda: np.random.uniform(0, image_size_padded, size=2),\n", + " z=0,\n", + " rotation=lambda: np.random.uniform(0, 2 * np.pi),\n", + ")\n", + "dark_spots = (\n", + " (dark_spot) ^ (lambda: np.random.randint(10, 20))\n", + ") >> dt.ElasticTransformation(alpha=50, sigma=7, order=1)\n", + "\n", + "\n", + "# Larger irregular blobs of varying brightness, each given its own Gaussian\n", + "# and Poisson noise.\n", + "noise_ellipse = dt.Ellipse(\n", + " radius=lambda: np.random.uniform(0.5, 3, 2) * 1e-6,\n", + " intensity=lambda: np.random.uniform(-1, 1.5),\n", + " position=lambda: np.random.uniform(0, image_size_padded, size=2),\n", + " z=0,\n", + " rotation=lambda: np.random.uniform(0, 2 * np.pi),\n", + ")\n", + "\n", + "noisy_ellipses = ((noise_ellipse) ^ 100) >> dt.ElasticTransformation(\n", + " alpha=50, sigma=7, order=1\n", + ")\n", + "ellipse_gaussian = noisy_ellipses >> dt.Gaussian(sigma=5)\n", + "ellipse_poisson = noisy_ellipses >> dt.Poisson(snr=0.5, background=1e-4)\n", + "noisy_ellipses = noisy_ellipses * ellipse_gaussian * ellipse_poisson\n", + "\n", + "\n", + "# The images sometimes show elongated, streak-like structures. To resemble\n", + "# these, we add a few long, thin ellipses as stripes.\n", + "stripe = dt.Ellipse(\n", + " radius=lambda: (\n", + " np.random.uniform(2, 10), # major axis\n", + " np.random.uniform(0.2, 0.6), # minor axis\n", + " )\n", + " * dt.units.um,\n", + " intensity=lambda: np.random.uniform(-1, 1),\n", + " position=lambda: np.random.uniform(0, image_size_padded, size=2),\n", + " z=0,\n", + " rotation=lambda: np.random.uniform(0, 2 * np.pi),\n", + ")\n", + "\n", + "noisy_stripes = ((stripe) ^ 8) >> dt.ElasticTransformation(\n", + " alpha=50, sigma=7, order=1\n", + ")\n", + "noise_gaussian_s = noisy_stripes >> dt.Gaussian(sigma=0.3)\n", + "noisy_stripes = noisy_stripes * noise_gaussian_s\n" + ] + }, + { + "cell_type": "markdown", + "id": "065b534a", + "metadata": {}, + "source": [ + "## 5. Optics\n", + "\n", + "Two optics configurations are used: a `dt.Brightfield` model for the mitochondria and the texture layers, and a `dt.Fluorescence` model used only to render the uneven background brightness layer.\n" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "id": "79474a64", + "metadata": {}, + "outputs": [], + "source": [ + "optics = dt.Brightfield(\n", + " wavelength=400e-9,\n", + " NA=lambda: np.random.uniform(0.9, 1.1),\n", + " output_region=(0, 0, image_size_padded, image_size_padded),\n", + ")\n", + "\n", + "optics_f = dt.Fluorescence(\n", + " output_region=(0, 0, image_size_padded, image_size_padded),\n", + ")\n" + ] + }, + { + "cell_type": "markdown", + "id": "8db26898", + "metadata": {}, + "source": [ + "## 6. Assembling the Composite Image\n", + "\n", + "The mitochondria mask (`mito_mask_pip`) and the mitochondria appearance (`mito_pip`, an imaged mitochondrion combined with a darker mask overlay) are built first. `base_pip` then combines a smoothly varying gray background, the membrane mask, the mitochondria, and the uneven-brightness layer. `im_pip` adds the remaining texture layers and applies the final blur/noise/normalization chain, before `pip` cross-correlates the image with the membrane and mitochondria masks and crops away the padding.\n" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "id": "bc25d385", + "metadata": {}, + "outputs": [], + "source": [ + "def get_mask():\n", + " \"\"\"Turn a simulated structure into a binary mask: every non-zero pixel\n", + " becomes foreground.\"\"\"\n", + "\n", + " def inner(mask):\n", + " return np.sum(mask, -1, keepdims=True) > 0\n", + "\n", + " return inner\n", + "\n", + "\n", + "mito_mask_pip = (\n", + " mitochondria\n", + " >> dt.SampleToMasks(\n", + " get_mask,\n", + " output_region=optics.output_region,\n", + " merge_method=\"or\",\n", + " )\n", + " >> dt.AsType(\"float\")\n", + ")\n", + "\n", + "mito_pip = optics(mitochondria) - 0.5 * (\n", + " mitochondria\n", + " >> dt.SampleToMasks(\n", + " get_mask,\n", + " output_region=optics.output_region,\n", + " merge_method=\"or\",\n", + " )\n", + ")\n" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "id": "1282a0f2", + "metadata": {}, + "outputs": [], + "source": [ + "base_size = 16\n", + "zoom_factor = image_size_padded / base_size\n", + "gray_mask_fn = lambda: ndi.zoom(\n", + " np.clip(\n", + " np.random.normal(loc=0.7, scale=0.2, size=(base_size, base_size)),\n", + " 0.5,\n", + " 1.0,\n", + " ),\n", + " zoom=zoom_factor,\n", + " order=4,\n", + ")[..., None]\n", + "\n", + "base_pip = (\n", + " gray_mask_fn * mem_pip * (-1) + 0.6 * mito_pip - 30 * optics_f(noisy_areas)\n", + " >> dt.GaussianBlur(sigma=0.5)\n", + " >> dt.Gaussian(sigma=lambda: np.random.uniform(0.06, 0.09), order=0)\n", + ")\n" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "id": "d07062e8", + "metadata": {}, + "outputs": [], + "source": [ + "im_pip = (\n", + " base_pip\n", + " # Granular cytoplasm texture (weighted up to fill the cell interiors).\n", + " + 0.78 * optics(speckle_noise >> dark_spots >> noisy_stripes)\n", + " + 0.4 * optics(noisy_ellipses)\n", + " >> dt.Clip(0.65, 1.9)\n", + " >> dt.AverageBlur(ksize=3)\n", + " >> dt.Poisson(snr=lambda: np.random.uniform(50, 100))\n", + " >> dt.Gaussian(sigma=lambda: np.random.uniform(0.06, 0.09), order=0)\n", + " >> dt.Clip(0.5, 2.1)\n", + " >> dt.NormalizeMinMax()\n", + ")\n" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "id": "e84d0f2e", + "metadata": {}, + "outputs": [], + "source": [ + "pip = (\n", + " (im_pip & mem_pip & mito_mask_pip)\n", + " >> dt.Crop(crop=(image_size, image_size, 1), corner=(pad, pad))\n", + "\n", + ")\n" + ] + }, + { + "cell_type": "markdown", + "id": "0ec9f56d", + "metadata": {}, + "source": [ + "## 7. Plotting the Simulated Image\n", + "\n", + "The pipeline is resolved once, yielding the simulated image together with the membrane and mitochondria masks used to derive it, and plotted with a physical scale bar.\n" + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "id": "aa3b4e60", + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/Users/cmanzo/Documents/GitHub/DeepTrack2/deeptrack/optical/optics.py:1878: UserWarning: Brightfield imaging from ScatteredVolume assumes a weak-phase / projection approximation. Use ScatteredField for physically accurate brightfield simulations.\n", + " warnings.warn(\n", + "/Users/cmanzo/Documents/GitHub/DeepTrack2/deeptrack/optical/optics.py:1899: UserWarning: Scatterer defines 'intensity', which is ignored in brightfield microscopy.\n", + " warnings.warn(\n", + "/Users/cmanzo/Documents/GitHub/DeepTrack2/deeptrack/optical/optics.py:1908: UserWarning: No 'refractive_index' specified; using 'value' as a non-physical brightfield contrast. Results are not physically calibrated. Define 'refractive_index' for physically meaningful contrast.\n", + " warnings.warn(\n", + "/Users/cmanzo/Documents/GitHub/Environments/deeptrack_fixes/lib/python3.12/site-packages/scipy/ndimage/_measurements.py:1550: RuntimeWarning: invalid value encountered in scalar divide\n", + " results = [sum_labels(input * grids[dir].astype(float), labels, index) / normalizer\n" + ] + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "pip.update()\n", + "\n", + "image, mem_mask, mito_mask = pip.resolve()\n", + "\n", + "RESOLUTION = 4.6e-9 # meters per pixel\n", + "\n", + "px_per_um = 1.0 / (RESOLUTION * 1e6) # RESOLUTION is in meters/px\n", + "SCALE_BAR_UM = 0.5\n", + "scale_bar_px = SCALE_BAR_UM * px_per_um\n", + "\n", + "fig, ax = plt.subplots(1, 1, figsize=(4, 4))\n", + "ax.imshow(image, cmap=\"gray\")\n", + "x0, y0 = image_size * 0.06, image_size * 0.94\n", + "ax.plot([x0, x0 + scale_bar_px], [y0, y0], color=\"white\", linewidth=2.5,\n", + " solid_capstyle=\"butt\")\n", + "ax.axis(\"off\")\n", + "plt.show()\n", + "fig.savefig(\"fig1g_TEM_sim.svg\", format=\"svg\", bbox_inches=\"tight\", pad_inches=0, transparent=True)\n" + ] + }, + { + "cell_type": "markdown", + "id": "861e7170", + "metadata": {}, + "source": [ + "## 8. Plotting the Ground Truth\n", + "\n", + "The membrane and mitochondria masks are combined into a single color-coded segmentation, with the remaining background labeled as `COLOR_OTHER`.\n" + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "id": "4e293159", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "COLOR_MEMBRANE = np.array([0, 114, 178]) / 255\n", + "COLOR_MITO = np.array([213, 94, 0]) / 255\n", + "COLOR_OTHER = np.array([0, 158, 115]) / 255\n", + "\n", + "composite_gt = np.ones((mem_mask.shape[0], mem_mask.shape[1], 3), dtype=np.float32)\n", + "\n", + "mem_bool = mem_mask.squeeze().astype(bool)\n", + "mito_bool = mito_mask.squeeze().astype(bool)\n", + "other_bool = ~(mem_bool | mito_bool)\n", + "\n", + "composite_gt[other_bool] = COLOR_OTHER\n", + "composite_gt[mem_bool] = COLOR_MEMBRANE\n", + "composite_gt[mito_bool] = COLOR_MITO\n", + "\n", + "fig, ax = plt.subplots(1, 1, figsize=(4, 4))\n", + "ax.imshow(composite_gt)\n", + "ax.axis(\"off\")\n", + "plt.show()\n", + "fig.savefig(\"fig1g_TEM_gt.svg\", format=\"svg\", bbox_inches=\"tight\",\n", + " pad_inches=0, transparent=True)\n" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "deeptrack_fixes (3.12.8)", + "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": "3.12.8" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} From 98a0ac682691420e5953000ef8f634e317c9fa7b Mon Sep 17 00:00:00 2001 From: Carlo Date: Thu, 10 Sep 2026 15:41:22 +0200 Subject: [PATCH 2/2] typo --- .../DTGS183_fig1c_bacteria.ipynb | 16 ++++------------ 1 file changed, 4 insertions(+), 12 deletions(-) diff --git a/tutorials/1-getting-started/DTGS183_fig1c_bacteria.ipynb b/tutorials/1-getting-started/DTGS183_fig1c_bacteria.ipynb index 594f4cf7..6bf9132d 100644 --- a/tutorials/1-getting-started/DTGS183_fig1c_bacteria.ipynb +++ b/tutorials/1-getting-started/DTGS183_fig1c_bacteria.ipynb @@ -198,7 +198,7 @@ " radius=(u.meter, u.meter),\n", " length=(u.meter, u.meter),\n", " rotation=(u.radian, u.radian),\n", - " max_chain_bend=(u.radian, u.radian), # an ANGLE (per-joint), not a distance\n", + " chain_bend=(u.radian, u.radian), # an ANGLE (per-joint)\n", " )\n", "\n", " def __init__(\n", @@ -277,9 +277,7 @@ " z = np.arange(-ceil, ceil) * voxel_size[2]\n", " Y, X, Z = np.meshgrid(y, x, z)\n", "\n", - " # Base 3D rotation of the whole chain (unchanged; controls overall\n", - " # orientation in the lab frame -- chain bending below stays confined\n", - " # to this frame's local X-Y plane, not a second uncontrolled 3D tilt)\n", + " # Base 3D rotation of the whole chain \n", " cos = np.cos(rotation)\n", " sin = np.sin(rotation)\n", " XR = (\n", @@ -295,17 +293,11 @@ " ZR = (-sin[1] * X) + cos[1] * sin[2] * Y + cos[1] * cos[2] * Z\n", "\n", " # Consecutive segments are spaced slightly CLOSER than exact\n", - " # end-to-end tangency, since two capsules that only just touch meet\n", - " # at a single, measure-zero point that often falls between sampled\n", - " # voxels on a discrete grid, rendering as a visible gap.\n", + " # end-to-end tangency\n", " capsule_half_length = length / 2 + radius\n", " place_half_length = capsule_half_length * (1 - overlap_fraction)\n", "\n", - " # True hinge construction: each segment's center sits exactly\n", - " # `place_half_length` from a SHARED pivot point, along its OWN\n", - " # heading -- so consecutive rods pivot around a common joint rather\n", - " # than being offset sideways from each other. Heading itself is a\n", - " # random walk, bounded by +/- max_chain_bend per joint.\n", + " # True hinge construction\n", " heading = 0.0\n", " headings = [heading]\n", " hinge = np.array([0.0, 0.0])\n",