From ee06b12bd2d86039de2ceab6f579a4604520aa3d Mon Sep 17 00:00:00 2001
From: virginiafdez <virginia.fernandez@kcl.ac.uk>
Date: Wed, 13 Dec 2023 16:23:14 +0000
Subject: [PATCH 1/2] Ru

---
 generative/inferers/inferer.py                |    6 +-
 .../2d_controlnet/2d_controlnet.ipynb         | 2494 +++++++----------
 .../generative/2d_controlnet/2d_controlnet.py |   82 +-
 3 files changed, 1124 insertions(+), 1458 deletions(-)

diff --git a/generative/inferers/inferer.py b/generative/inferers/inferer.py
index 7be22017..c653cf44 100644
--- a/generative/inferers/inferer.py
+++ b/generative/inferers/inferer.py
@@ -598,7 +598,7 @@ def __call__(
 
         diffuse = diffusion_model
         if isinstance(diffusion_model, SPADEDiffusionModelUNet):
-            diffuse = partial(diffusion_model, seg = seg)
+            diffuse = partial(diffusion_model, seg=seg)
 
         prediction = diffuse(
             x=noisy_image,
@@ -746,7 +746,7 @@ def get_likelihood(
 
             diffuse = diffusion_model
             if isinstance(diffusion_model, SPADEDiffusionModelUNet):
-                diffuse = partial(diffusion_model, seg = seg)
+                diffuse = partial(diffusion_model, seg=seg)
 
             if mode == "concat":
                 noisy_image = torch.cat([noisy_image, conditioning], dim=1)
@@ -832,6 +832,7 @@ def get_likelihood(
         else:
             return total_kl
 
+
 class ControlNetLatentDiffusionInferer(ControlNetDiffusionInferer):
     """
     ControlNetLatentDiffusionInferer takes a stage 1 model (VQVAE or AutoencoderKL), diffusion model, controlnet,
@@ -1085,6 +1086,7 @@ def get_likelihood(
             outputs = (outputs[0], intermediates)
         return outputs
 
+
 class VQVAETransformerInferer(Inferer):
     """
     Class to perform inference with a VQVAE + Transformer model.
diff --git a/tutorials/generative/2d_controlnet/2d_controlnet.ipynb b/tutorials/generative/2d_controlnet/2d_controlnet.ipynb
index 8ff9ff29..8c3f71b8 100644
--- a/tutorials/generative/2d_controlnet/2d_controlnet.ipynb
+++ b/tutorials/generative/2d_controlnet/2d_controlnet.ipynb
@@ -1,1422 +1,1078 @@
 {
-    "cells": [
-        {
-            "cell_type": "code",
-            "execution_count": 1,
-            "id": "70eef519",
-            "metadata": {},
-            "outputs": [],
-            "source": [
-                "# Copyright (c) MONAI Consortium\n",
-                "# Licensed under the Apache License, Version 2.0 (the \"License\");\n",
-                "# you may not use this file except in compliance with the License.\n",
-                "# You may obtain a copy of the License at\n",
-                "#     http://www.apache.org/licenses/LICENSE-2.0\n",
-                "# Unless required by applicable law or agreed to in writing, software\n",
-                "# distributed under the License is distributed on an \"AS IS\" BASIS,\n",
-                "# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n",
-                "# See the License for the specific language governing permissions and\n",
-                "# limitations under the License."
-            ]
-        },
-        {
-            "cell_type": "markdown",
-            "id": "63d95da6",
-            "metadata": {},
-            "source": [
-                "# Using ControlNet to control image generation\n",
-                "\n",
-                "This tutorial illustrates how to use MONAI Generative Models to train a ControlNet [1]. ControlNets are hypernetworks that allow for supplying extra conditioning to ready-trained diffusion models. In this example, we will walk through training a ControlNet that allows us to specify a whole-brain mask that the sampled image must respect.\n",
-                "\n",
-                "\n",
-                "\n",
-                "In summary, the tutorial will cover the following:\n",
-                "1. Loading and preprocessing a dataset (we extract the brain MRI dataset 2D slices from 3D volumes from the BraTS dataset)\n",
-                "2. Training a 2D diffusion model\n",
-                "3. Freeze the diffusion model and train a ControlNet\n",
-                "3. Conditional sampling with the ControlNet\n",
-                "\n",
-                "[1] - Zhang et al. [Adding Conditional Control to Text-to-Image Diffusion Models](https://arxiv.org/abs/2302.05543)"
-            ]
-        },
-        {
-            "cell_type": "code",
-            "execution_count": 2,
-            "id": "022890b1-ea44-4c60-8a80-ed1fc755f90b",
-            "metadata": {},
-            "outputs": [],
-            "source": [
-                "!python -c \"import monai\" || pip install -q \"monai-weekly[tqdm]\"\n",
-                "!python -c \"import matplotlib\" || pip install -q matplotlib\n",
-                "%matplotlib inline"
-            ]
-        },
-        {
-            "cell_type": "markdown",
-            "id": "6b766027",
-            "metadata": {},
-            "source": [
-                "## Setup environment"
-            ]
-        },
-        {
-            "cell_type": "code",
-            "execution_count": 3,
-            "id": "972ed3f3",
-            "metadata": {
-                "collapsed": false,
-                "jupyter": {
-                    "outputs_hidden": false
-                },
-                "lines_to_next_cell": 2
-            },
-            "outputs": [
-                {
-                    "name": "stdout",
-                    "output_type": "stream",
-                    "text": [
-                        "2023-05-04 18:42:25,456 - A matching Triton is not available, some optimizations will not be enabled.\n",
-                        "Error caught was: No module named 'triton'\n",
-                        "MONAI version: 1.2.dev2304\n",
-                        "Numpy version: 1.23.4\n",
-                        "Pytorch version: 1.13.1+cu117\n",
-                        "MONAI flags: HAS_EXT = False, USE_COMPILED = False, USE_META_DICT = False\n",
-                        "MONAI rev id: 9a57be5aab9f2c2a134768c0c146399150e247a0\n",
-                        "MONAI __file__: /home/mark/Envs/monai-generative/lib/python3.8/site-packages/monai/__init__.py\n",
-                        "\n",
-                        "Optional dependencies:\n",
-                        "Pytorch Ignite version: 0.4.10\n",
-                        "ITK version: 5.3.0\n",
-                        "Nibabel version: 5.0.0\n",
-                        "scikit-image version: 0.19.3\n",
-                        "Pillow version: 9.3.0\n",
-                        "Tensorboard version: 2.12.0\n",
-                        "gdown version: 4.6.0\n",
-                        "TorchVision version: 0.14.1+cu117\n",
-                        "tqdm version: 4.64.1\n",
-                        "lmdb version: 1.4.0\n",
-                        "psutil version: 5.9.4\n",
-                        "pandas version: 1.5.3\n",
-                        "einops version: 0.6.0\n",
-                        "transformers version: 4.21.3\n",
-                        "mlflow version: 2.1.1\n",
-                        "pynrrd version: 1.0.0\n",
-                        "\n",
-                        "For details about installing the optional dependencies, please visit:\n",
-                        "    https://docs.monai.io/en/latest/installation.html#installing-the-recommended-dependencies\n",
-                        "\n"
-                    ]
-                }
-            ],
-            "source": [
-                "import os\n",
-                "import tempfile\n",
-                "import time\n",
-                "import os\n",
-                "import matplotlib.pyplot as plt\n",
-                "import numpy as np\n",
-                "import torch\n",
-                "import torch.nn.functional as F\n",
-                "from monai import transforms\n",
-                "from monai.apps import DecathlonDataset\n",
-                "from monai.config import print_config\n",
-                "from monai.data import DataLoader\n",
-                "from monai.utils import first, set_determinism\n",
-                "from torch.cuda.amp import GradScaler, autocast\n",
-                "from tqdm import tqdm\n",
-                "\n",
-                "\n",
-                "from generative.inferers import DiffusionInferer\n",
-                "from generative.networks.nets import DiffusionModelUNet, ControlNet\n",
-                "from generative.networks.schedulers import DDPMScheduler\n",
-                "\n",
-                "print_config()"
-            ]
-        },
-        {
-            "cell_type": "markdown",
-            "id": "7d4ff515",
-            "metadata": {},
-            "source": [
-                "### Setup data directory"
-            ]
-        },
-        {
-            "cell_type": "code",
-            "execution_count": 4,
-            "id": "8b4323e7",
-            "metadata": {
-                "collapsed": false,
-                "jupyter": {
-                    "outputs_hidden": false
-                }
-            },
-            "outputs": [],
-            "source": [
-                "directory = os.environ.get(\"MONAI_DATA_DIRECTORY\")\n",
-                "root_dir = tempfile.mkdtemp() if directory is None else directory"
-            ]
-        },
-        {
-            "cell_type": "markdown",
-            "id": "99175d50",
-            "metadata": {},
-            "source": [
-                "### Set deterministic training for reproducibility"
-            ]
-        },
-        {
-            "cell_type": "code",
-            "execution_count": 5,
-            "id": "34ea510f",
-            "metadata": {
-                "collapsed": false,
-                "jupyter": {
-                    "outputs_hidden": false
-                }
-            },
-            "outputs": [],
-            "source": [
-                "set_determinism(42)"
-            ]
-        },
-        {
-            "cell_type": "markdown",
-            "id": "c3f70dd1-236a-47ff-a244-575729ad92ba",
-            "metadata": {
-                "tags": []
-            },
-            "source": [
-                "## Setup BRATS dataset\n",
-                "\n",
-                "We now download the BraTS dataset and extract the 2D slices from the 3D volumes.\n"
-            ]
-        },
-        {
-            "cell_type": "markdown",
-            "id": "87977bac-ff5e-4612-b9f2-b069d6ad9e9a",
-            "metadata": {},
-            "source": [
-                "### Specify transforms\n",
-                "We create a rough brain mask by thresholding the image."
-            ]
-        },
-        {
-            "cell_type": "code",
-            "execution_count": 6,
-            "id": "c68d2d91-9a0b-4ac1-ae49-f4a64edbd82a",
-            "metadata": {},
-            "outputs": [
-                {
-                    "name": "stderr",
-                    "output_type": "stream",
-                    "text": [
-                        "<class 'monai.transforms.utility.array.AddChannel'>: Class `AddChannel` has been deprecated since version 0.8. please use MetaTensor data type and monai.transforms.EnsureChannelFirst instead.\n"
-                    ]
-                }
-            ],
-            "source": [
-                "channel = 0\n",
-                "assert channel in [0, 1, 2, 3], \"Choose a valid channel\"\n",
-                "\n",
-                "train_transforms = transforms.Compose(\n",
-                "    [\n",
-                "        transforms.LoadImaged(keys=[\"image\"]),\n",
-                "        transforms.EnsureChannelFirstd(keys=[\"image\"]),\n",
-                "        transforms.Lambdad(keys=[\"image\"], func=lambda x: x[channel, :, :, :]),\n",
-                "        transforms.EnsureChannelFirstd(keys=[\"image\"], channel_dim=\"no_channel\"),\n",
-                "        transforms.EnsureTyped(keys=[\"image\"]),\n",
-                "        transforms.Orientationd(keys=[\"image\"], axcodes=\"RAS\"),\n",
-                "        transforms.Spacingd(keys=[\"image\"], pixdim=(3.0, 3.0, 2.0), mode=\"bilinear\"),\n",
-                "        transforms.CenterSpatialCropd(keys=[\"image\"], roi_size=(64, 64, 44)),\n",
-                "        transforms.ScaleIntensityRangePercentilesd(keys=\"image\", lower=0, upper=99.5, b_min=0, b_max=1),\n",
-                "        transforms.RandSpatialCropd(keys=[\"image\"], roi_size=(64, 64, 1), random_size=False),\n",
-                "        transforms.Lambdad(keys=[\"image\"], func=lambda x: x.squeeze(-1)),\n",
-                "        transforms.CopyItemsd(keys=[\"image\"], times=1, names=[\"mask\"]),\n",
-                "        transforms.Lambdad(keys=[\"mask\"], func=lambda x: torch.where(x > 0.1, 1, 0)),\n",
-                "        transforms.FillHolesd(keys=[\"mask\"]),\n",
-                "        transforms.CastToTyped(keys=[\"mask\"], dtype=np.float32),\n",
-                "    ]\n",
-                ")"
-            ]
-        },
-        {
-            "cell_type": "markdown",
-            "id": "9d378ac6",
-            "metadata": {},
-            "source": [
-                "### Load training and validation datasets"
-            ]
-        },
-        {
-            "cell_type": "code",
-            "execution_count": 7,
-            "id": "da1927b0",
-            "metadata": {
-                "collapsed": false,
-                "jupyter": {
-                    "outputs_hidden": false
-                }
-            },
-            "outputs": [
-                {
-                    "name": "stdout",
-                    "output_type": "stream",
-                    "text": [
-                        "2023-05-04 18:42:34,233 - INFO - Verified 'Task01_BrainTumour.tar', md5: 240a19d752f0d9e9101544901065d872.\n",
-                        "2023-05-04 18:42:34,233 - INFO - File exists: /home/mark/data_drive/monai_data_dir/Task01_BrainTumour.tar, skipped downloading.\n",
-                        "2023-05-04 18:42:34,233 - INFO - Non-empty folder exists in /home/mark/data_drive/monai_data_dir/Task01_BrainTumour, skipped extracting.\n"
-                    ]
-                },
-                {
-                    "name": "stderr",
-                    "output_type": "stream",
-                    "text": [
-                        "Loading dataset: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 388/388 [01:36<00:00,  4.02it/s]\n"
-                    ]
-                },
-                {
-                    "name": "stdout",
-                    "output_type": "stream",
-                    "text": [
-                        "Length of training data: 388\n",
-                        "Train image shape torch.Size([1, 64, 64])\n"
-                    ]
-                },
-                {
-                    "name": "stderr",
-                    "output_type": "stream",
-                    "text": [
-                        "Loading dataset: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 96/96 [00:24<00:00,  3.88it/s]"
-                    ]
-                },
-                {
-                    "name": "stdout",
-                    "output_type": "stream",
-                    "text": [
-                        "Length of val data: 96\n",
-                        "Validation Image shape torch.Size([1, 64, 64])\n"
-                    ]
-                },
-                {
-                    "name": "stderr",
-                    "output_type": "stream",
-                    "text": [
-                        "\n"
-                    ]
-                }
-            ],
-            "source": [
-                "train_ds = DecathlonDataset(\n",
-                "    root_dir=root_dir,\n",
-                "    task=\"Task01_BrainTumour\",\n",
-                "    section=\"training\",\n",
-                "    cache_rate=1.0,  # you may need a few Gb of RAM... Set to 0 otherwise\n",
-                "    num_workers=4,\n",
-                "    download=True,\n",
-                "    seed=0,\n",
-                "    transform=train_transforms,\n",
-                ")\n",
-                "print(f\"Length of training data: {len(train_ds)}\")\n",
-                "print(f'Train image shape {train_ds[0][\"image\"].shape}')\n",
-                "\n",
-                "val_ds = DecathlonDataset(\n",
-                "    root_dir=root_dir,\n",
-                "    task=\"Task01_BrainTumour\",\n",
-                "    section=\"validation\",\n",
-                "    cache_rate=1.0,  # you may need a few Gb of RAM... Set to 0 otherwise\n",
-                "    num_workers=4,\n",
-                "    download=False,\n",
-                "    seed=0,\n",
-                "    transform=train_transforms,\n",
-                ")\n",
-                "print(f\"Length of val data: {len(val_ds)}\")\n",
-                "print(f'Validation image shape {val_ds[0][\"image\"].shape}')"
-            ]
-        },
-        {
-            "cell_type": "code",
-            "execution_count": 8,
-            "id": "8e4d6164-00e5-4663-a678-1391438574e9",
-            "metadata": {},
-            "outputs": [],
-            "source": [
-                "train_loader = DataLoader(train_ds, batch_size=64, shuffle=True, num_workers=4, drop_last=True, persistent_workers=True)\n",
-                "val_loader = DataLoader(val_ds, batch_size=64, shuffle=False, num_workers=4, drop_last=True, persistent_workers=True)"
-            ]
-        },
-        {
-            "cell_type": "markdown",
-            "id": "5d86ba60-84d2-49f2-95c1-2ab611310d84",
-            "metadata": {},
-            "source": [
-                "### Visualise the images and masks"
-            ]
-        },
-        {
-            "cell_type": "code",
-            "execution_count": 9,
-            "id": "17a5e9a4-9756-400b-8dbd-0f1d457ad3dd",
-            "metadata": {},
-            "outputs": [
-                {
-                    "name": "stdout",
-                    "output_type": "stream",
-                    "text": [
-                        "Batch shape: torch.Size([64, 1, 64, 64])\n"
-                    ]
-                },
-                {
-                    "data": {
-                        "image/png": 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EAnC5XD0aCCZILF/z+2g0imaziWAwKOzgysqKMIF2ux3pdBrZbFY0GGZtvDjsdruwXS6XCy6XC7t375bSPoMVrZGjreD/eY8YXNBO019ppkWXF3Vgq20L7QLtFteKLjHxvTTj53a7MTU1hXg8jlKphEwmg7m5OaysrIhA+FbEugYw0WhU6sRkO0qlEg4dOoQ77rgD+/btw9TUFEqlEi5evIhkMolTp05JgAF0W2NJ49OBNJtNEWbR8aylO9AKcS4YDq7z+XxSi9aLVw/MowEk5efz+XpKGMvLy+h0OhgeHkYoFEK5XBZNxMrKimThejEbrMLtduPVr341brvtNgQCAXg8HsRiMaTTacmcGMQwe2XZZi1amLMXuH7ojHgfeU91aywdUi6XE/YNgBg5BjArKytoNpviCNmGnc/nMTc3B6/Xi4GBAfT39+M973kPFhcXcerUKZTLZeRyOdTrdfj9fjG0brcbqVTKOKlrgM/nk24SMh2lUgl2ux2BQAChUEicBcs10WhU7qlmYTkrqFKpIJvNwuv1IhKJyGtYkqbt6XQ66OvrQyAQkGSFjB9bp/VMqWg0Kuu12WwiHA7L6xjYZLNZnD17FgsLC8hkMmZtvAQcDgfuvPNO3HXXXdLMQZG+DlaA3tliXBP0JywV8v4B6GHnrQy/DngI3dHEAMaaOLEsqfWc9C9erxc7duxAtVqF3W5HKpXC448/jmQyKcn5rYibEsDQ0HOQTzQahdfrxfj4OHw+HyKRiBj4UCiEvXv3YnJyEuFwWI7h9XoRCoUwODgomSpryjrb1aUeGgutp+Fr+C9LCLoriYsV6Pb+61q3dng6WucxKfwCVkWmlUoF/f39qFarKBQKqFarSKfTKBaLUiYrFAoyzfdWFXgGAgHcfvvtMhGZayQcDsu9ZvmGZRveYx08sDOAD3a1WkW5XO4pO5EK1poW/q3eFkLvlQVAAmfO+SmXy0Izcy0Cq8JxZsk8H4Ls45ve9Cak02k5Fgek0UmZksHLA+8f7UEwGJTAJBKJoNlsIh6Pw+/3ywAxPblbd5roMQtMfhhMaNpfZ+C0ObQHejYQdU5aJMpsm8cCIA6TehraIpamvV4vhoaGkEqlkEql5L1zuRzm5uZuaRbX7XZj165dCAaDklAODg7KdWcC4vV6e/5OC3CB7jOu14K+19Y1wvVmHZwJoIdh0cPx9DrQwY5u29fHYDDDJhPayJWVFRSLRVSrVRw7dgyXLl26/hd2A+OGBzCMLDkULBwOY8+ePTJsLhgMYnh4GOFwGFNTU0gkEggGg/D7/T3RKEV2NFB8wJkp6Zutu0w4s4Vsh3XCoY6guYipYSCToqNxHbxQtKmpRjo8n88nI+lpJAHIcKulpSXk83ksLCwglUrh4sWLOHXqFEql0i0bwMRiMbzrXe/C4OCgXC+yEnQu1WoVxWJRBNgcKAhAZmxwTVQqFdTrdZRKJXnQy+WytNzH43G43W4JbngftXaKwQ5bshk4JZNJYXCYIdMwdjqre5yw1ODxeCQ4AVaNWV9fHz760Y8KG6QN4he+8AX84z/+I3K53M2/CZsYPp8PoVBIyo1utxuBQADRaBQTExMyQM7pdMocH2pR2A5PW6ITIDJ83LdGC/91AsPfsfTM0iYTN6Dr0Fg2pA1hBwzXAsW8drsdzWZTStA7d+5EqVTC4uIiksmk2K1Tp05hYWHhlmZxfT4fHnjgAUxMTPRs/wJAfALXgC4/60YPLTHgPaTEgOAzywCXvkCzOrqpBIDoNDUrw1I114JVU0cbyGoC33t0dBQ2mw133XUXnE4n6vU66vU6fv/3f98EMNcLfr8fsVhMjITX68Xw8DCCwSD27t2LUCiE4eFh+P1+of0pZATQc1N5k0nRaViDEWoU6LyYBVOjYB0iZmVPCJ2B6fqkDmAYGZNG5jH0ItXHACCLc3h4GPF4HD6fTzYW5IC1QqFwS2wY6Pf70d/fD6/Xi1gsJrN+GKAyYLTWpOkgeC8ZPJIJYUeHzrq08p/3r9FoyH5YNEBcT/p7rV1gQE3BLcsPdHI8tnaO1EeR/iVbo/fpIqiXuvPOO5FKpXDy5Mmbf2M2CciacH3EYjFpQ2Ygy1IRAxYGMFxnBO8bAxaC96/VagmbQ+0L1xdtEwPsUCgk95aMCp9lrj+ub30MABLEEFb7pJkcv9+PcrmMcrksAf2thEAgIGMr2u22+BKOxnC5XGL3qXvxer2XsWRrdYZSG6nLOUCvlADo2nuuGQai/DtrGZs2y6qL0kGPZuc022cNsHTC7HA4sGvXLhSLRZkKX6vVtvwsshsWwAwMDOCOO+5AJBLByMgIgsGglAN27tyJQCCAeDwOp9Mp7aOlUqmHFtXMBYMIPSyKrc9cMLqcQK1JuVwWZ0P6V0fCa3UUMQPnYrTSgoy4qV6nw9LH5t/pWTA2mw2hUAjBYBDRaBSBQABzc3NYWFjAyMgIYrEYTp48idnZWRH4bmUkEgncf//9GBoawl133QWXyyWaILIWLO8BEKqf2S8fcK/XK4xbpVLB7OyssCYAxPFQq8BSAzPqcDgs5UoGIRRPsnOM58AAlJ1P0WgUPp8PxWIRhUIBgUBA6u1a11Aul7G0tCSZPjUZumTF89u3bx8OHTqEhYUFPProozf9vmwG2O12xONxBAIBuTecus3pyj6fT5InNgxYM2EGLAwoisUiVlZWxEGxU0mXmkKhkNgWJlo2mw25XA52ux1DQ0MSKAHdllgAErwwOOZzzvI2HSyDH54nhaZ+vx/RaBRDQ0Ow2+1YXl7G3NwcZmZmbur13wjo7+/Hu971LgSDQUl8eR/9fj+8Xi/y+by0qXPKOjtXg8GgBDe0J9qnWJNI+iLrGA3N6ltLS3odWNl+HbTw9wx8rMkxj6t9oLVj8Q1veANe//rX4zvf+Q7+6Z/+CUtLSyaAebng/kPj4+OYnJwU+jYYDGJ0dBQ+nw+xWExofAYCAGSg3FqtxsxwgF6Wg4tAj2zWk1G18IrQ0TSPa42U9SKyBjD8P1kYHYHr3/O8+T0zeGYMwKpz9fl8Mm04mUwiFothZWUFuVxuS7Iw/Kyjo6MYHh5GX1+f3Hs6BF0+1NmGDhD5vdYuaINAo8LghoEMs3OguwboIABIBq/LBDpD5s/5HroLQGupdJZOFlDXsgkaJOvX2NgY7rrrLlQqFQnyqbm51XY9pzPQmSlZDm62GovFEAqFpF3Z6/WKdsqqMeC90YEFf66ZGZ1AaT2cTkr4N7pDUb+Ga0InUvxiAEOm0Lqe13pfPQ6CtiMajSIej0vJfCuvDe6FNzY2Jn5Ef16tgeQ15PNOdovPJF/H66qDCes11FICqy+wfq/PhfefjI8G7QHfT68dbhqry5rW1+n352sHBgawc+dOOJ1OSeBLpdL1uPQbDtc9gDl48CDe+MY3oq+vD2NjY0gkEti1a5e0FBKdzurMFj0JlZQ7H2oK5/TIbWuZhw+/Nux6xoeVvtV/y4iWi4HZNc+Px9blI76WzAujZgAi9mMABXRZJB2wsdbJ96FWJhAIwG63Y2FhAUtLSygWi1tSXb579268/e1vRzQaxfDwcI/6n5NL2WHB68aHlxooUrx+vx+hUEgMPUtILCM2m02ZrUFdUjgchtfr7SktZrNZucfBYBCRSEQMYbPZlFIT358sDu8RdTpcu263W7pI2KrNUhU7Xdh9x5IE1xsDlYceegivfe1rce7cORw9ehSpVArnzp1DJpPBmTNnbim9g8fjkc05S6USWq2WsCsHDhyQmS26RMy1AXQdiWZMWWoAuqUB7lDP55brUf9fCzAdDofst8X1o/UXtE3ValW0WAT1F7znuoONQRczebJzuuOEYvBQKIRSqYSDBw9iaWkJx48f35J2g5iYmMA73/lOmVir946izWciSz0iGbhSqdSTDDAABXqF1PxeBwu8BxprJR7aR+kxDzqwooaT99zajs0tb7iudDKt/ZUWDgOr/ubAgQPYt28fjh49ikgkgrm5uS27MeR1C2A4V2FoaEg2qOKOv6RgCUaXdDB6gTCA0V980LkAeAwGGTqQ0ewKb6429JrGswYwPEcGJfzeWm7ie9AgatpQb1MAoGdwEQCJxNnKR0NDwSEzRiursBUQiUQQi8UwNjaGgYEBBAIBEdSReSGsNCvvlxa9av0AjTwDV91dxrVFx8IHXzsJ3YGmtVQMcKznxXWj2UIt6NZt/HpgHo2jzq6r1SrcbrfM/+A4cZYaC4VCz+7rgUBA9DfBYFA+g/V5aLfb0q6/2cF7SHas3W4jFApJkBIIBOTZ0zoTBh0MSug4rNsC0PEBvQ7MqpHQ2bZeFzrBIaxdStasXtsiMir6iyyTdY8lDc3aWJmArQYGIuwg0+P/NTPK55LPvmYq+NxrVtXKwGtGTR9jrWur35trwHqP9evW+n6twEK/J8+BAZn+jHxPoFva4pqJx+MYGRmRRI/+dCvhugUwBw4cwB133IG77roLd955J6LRKAYGBsQRA6s3rVarYWlpSVqJ9QZ4dPS6fZGGmMZC032ENSrVN58OyBoM6Q4TCr7IgDBYojhPd6QAXcNGGlK/hswLFxOdJc+9UCjIjrO67ZcCw0AgIJ+RLI0ub2xm3HvvvXjnO98pRoiGt1arSblM7xoOdDfE4/3mcMNWa3UCL9vP9YMMdEV4NtuquFN3oOjZGvxe32tgdcNHloeA3kCUwk4dSBWLRdRqNdE46SCIHVFzc3Mi1K7VaigUCuh0OhgdHYXX60Uul0O1WsVb3vIWHD58WN5vYGAAu3btwo4dO3D48GHZ7C0ajeL++++Hx+NBOp1GrVbDwsKCvEexWMRXv/pVPPnkkzfpDt9Y6PHqerAXxzBwLhADZT73AOR5ikajPQafQaPeWsLpdMqAMM6E0WP96UQqlYoElfp5pX3g8fSkZt2ppufBcCIwmWoO2aOOi2y1ZgWAbnJVq9WQyWRkWvBWxI4dO/DQQw/B5/PJ9dO6RqB3NAbBwJ5yhVgsJsMA9XXU24XwOpNlswYvTBqsZR1rCzZfq4Mj/h7oDZytv2erNH2NLiUycOV61WJxHmNychJDQ0N47rnnkM1mkc1mMTs7u6WY2+sWwHCeC1kEZj8aDEgYTPD/OoChTsSaRXOhaAZGBy76X+3ICCvzov8ldH2cwY0OTrhIgMt3GV1Lra6DMu38+PfWrE8zAjabDZFIRBwdr8dmRDAYlDLZ8PBwT1apH0itF9JB6lpMjP7eKs7WRkmvCf6e94vlIGa/ug6ux4fzNdooWRk8/Rr9LwAJyriTOdB1nq1WC9lsFm63W1qzWSLh52BwzfXUaDTg9/sRj8elvdbv94v4kFOD3W63zEuyMkmbBSy/MvjUOiaWT6xUuh50qdcJDb3VVmjnp++/NUMnq8bj6CAW6CZSVjvAf3X2r52jPiaAHnuiBZxWJpnHoM3UOqutBOqZotEoEomEXNO1mAv6hbUYXP7O2giimXZr0LGWPtJqs/h++ud6/MaLYa2yE9DLAurvrXaQa0Mfj1UNfd2i0aiwzFsJ1y2AYU2xUCggnU6j0+nIICk9zZYLiEaZqnH9e0bW1v2M+OVwOKTUQmGfPg8tmqSYd612Ob4v/8ZKx1Kzox0p0I2IWQbTxyOLQ6NKw8uhWbo0xGvB7J6fPZlMIhgM4s1vfjNKpRKeeuopFItFpNPpTeeEbDYbHn74YTz00EMIhUJot9syU4MiRGBV/M1ghDVj3hNqYNrtNlZWVmRzNavw0upMWCPnJFSWUli6jEajopHg+1AbUyqVetptdZ283W6L9iUQCCASiSCRSPR0p3ESbzAYRCKRQKVSwfz8PCqVCtLpNFZWVnDu3DkUi0UsLi6iVCohl8thZWUFi4uLmJubQzweF/YoFouJAywWi8jn80in03j00UflOWi327h06ZL8vlKpYGBgAHfffTcuXLiwKTtVwuEwDhw4AL/fL3qovr4++Hw+2XOMzy2ZEjJR7EIi2u02UqmUZOHMcrntiNPpRCqVEgF9sVgUzRQDBAZOwWAQ+/bt60mq+GzT3jCZ0yUh/p46KWtAQyaSgQiDbDIKPF8+KwCEAWSnzVYLYPbu3YtXv/rV0iIP9O4xpaEDE92G7HK5xNdohox/r/WJtC9rBRW0BVZ5gfZxtCVW8Ng6EOWaYamZzzg/gw5sGegwUeG5WOeGUUfFtvJ4PI7bb78dFy5cwNmzZzedD3kxXHMAwyxER7V0NswwCCvbYY18Nc3G6NL6t/zXuph0Vq5r1ww2dHZv/ZfvxcF1VkfI9+WxrOyQPicuONbaqbug8dVZvD4+FzXFW8FgEH19ffLgcfv2zQR2+4yOjmLnzp3ykDLDJd2pM1MGCNaaMQ3DWq2N1oya/9eCYG00tMBbi7S5jrWIUrfH61Km/lv9N/rzeDwecThutxvVahW1Wk1auEulEnw+H/L5fE/psVAoIJVKyfsyo+JxyQw2m01kMhkZutjprO73RHq8Xq/D6/UiHo9jcXHxJt75awefJQYq3HGeyQC3ING0Ou+DHttvtS0MinWmzPezZtqE1kLw2vPcyKTRoVif7bXWp2YfeWyWh3QrLzVf2klrIbG2d/rZYkC22R0Vg4pYLIaRkRGxn7zWtANWBoKwsiKa1bAmpfpvrDbG+jqrr9I+Q9sSDe0n1mLnrOtGn7uV8bFWEfQx9TrUUoRwOCws7lbCNQUwnFkxNjYm4/+3b9+O0dFREWgCXYfBOrP+0opsrRXRdJd2XnxIWTYoFouXBRnaEerSjTWSpbFgdlOr1S4zbp1OR7Ky+fl5pNNpOTYpTc60YcCixYJauc7z1g+Q1dAsLCzI/haXLl3CysoKMpmMlBU2C5xOJ9785jfj0KFDGBwcRLFY7GFJqHWiA+amnTrYZMbSbDbFYa2VYXFeDPc5ikQiAFbH/bdarZ7uDh2ckgli5k5Wze12Y2JioqckQKeYzWbRbrdljx22OOfzebTbbVn3DsfqDsIMKJrNpugT7PbVluADBw6g2WxidHQUhUIBzzzzDObn5/HCCy/g6aefRigUQigUwo4dO3DHHXdImZadFE6nE0NDQ2i325ibm0O5XEYqlUKtVpMSLufbWMenb3REo1Hs3r1byo+8f263WwKadrstQ9yYtXY6nctsD7UldrtdntNAICDlNm6cWKlUkEgkMDo6Kh1D5XIZxWKxx6kxCKEQWOuiNPtKRpWBRqlUQrFYRH9/P8bGxqQ8XK1WhTnhsXj+BJ0335NlNNoPPhuRSAR79uzBysoKTp8+valFm3v27MGOHTswOjoqs3M0K7tWIGJNEjUr6nK5ZCo7tUc62KBmDuiWYoBeBp73VB9bNwbopElrJ2n3OT+K78MpzToRt4rDdaLHRLvVagkrqUHWjs8DEyM22ZgARsFmsyEej2NiYgIDAwNCyVMDo7NW/aXLQVanrLMNHWnqC6+dvl50/BueG9ArvtR1Sa1d0dm4poS5eCqVCorFIpLJJBYWFnrOnTModHasS0VW3YTWytAx6uybbAGFmisrK1IC2UzUsM1mw8TEBA4ePCh6J51N6ro9RYtW/QDQ28popWUZoLLExDIAA089vZnGX++Xw8wX6J0PwVKgzpJ1FsfSoMPh6NnJnEaRjoXnSMNL0SAdLgWanU4HoVAIs7OzqFarMsyQDJbb7caOHTsArBo8BlP8TBQ0M7BheYKf+8W6WDYaeJ05pVkzl3q+C1tPrdkyWRIGyGzH1w5GO0Cgm/g0m03pdGHQs7y8LMEFky49rVcnSDx3MnFa58JgfGVlReZg0dno3eitJQj+XOu1gF7NHL8HIOUxXXrYrIjFYpiYmOjZGdyqCSGsTO1aehQ+hyzj6NcCl+tNrNASAu2XaEu0qJ+vob/jmqGkQZ8fgB6ml8+2Zpk0I6O1edqe8vz1euQ65ciGrYZr/kRs1QqHw3C5XKjX68hms6hWq8KScPExwrTWLmkgeNN5k7WQTosp9ULWjMtaAQ9r0LoGqhc41ena2DEQYdQ/NDQkG1AODQ0JQxQOhxGLxYR1AbpdM3S6AHoCJx312+12mUXAY+7evRsf/vCHkc1mcf78eeTz+U0tzut0OuJ06CToSLQuiewXsRYta2XWqJ/pdDqydQXQ3WF8ZmZGjuvxeHDnnXf2DFHs6+vryW5YumE2rrtGuG5GR0cvC7R8Pp/M+ujr60M8HhdmhgYH6AbTDErYrcT1uGfPHoyPj+O1r30tAODcuXO4cOEC+vv7UalUUKvVkM1mAUD0ZUwKKNRdXl5GqVRCf38/+vr68NRTT+H5559HOp2+OTf8GjE8PIw9e/bIM9lsNrGysiJiRHagtFrdabXA6nPn8XgQiUR6ypB87rkZJ7V1ZFJ5D/v7+9HpdMRecIoydUzUKDUaDRSLRRH6MzDSjoZOg4wzd60OBAIyCXh6erqnW6avr0/WONC1a1YbwvfQJUiWKX0+H2q1Gp5//vlNP8mb156DCZlY0NHrZ8paxmPSoB04/3+lspq+b3wvrX8jI6PXFoMC+hftW7hO9bHb7XbPXCIAMmgum82iVCrJ6ATaMya9/Mxcv9aSpi6j8fg2m03szMDAABYXFzd9UGvFNQcwzFj4YOopocyO9dRTHXnygdSiXXYq8eHWHSZcNDyWDl602HetGiMZEr3IuPgY8XJxa0rY4XDIbsjA6v4bDK50d4SO4jXVzIdCGyJdWtItcMDqeP27774b586dw/Hjx7GysnLZgK6NDmtNl0yBzj54jXl99DwgoMuIWI/Fe02jQaNEp8NWdQ6w4yht0qc0+LqFXd+7VColO5iT2WHA5XK5pOtFz/vheTscDmnzppMBulm0VcdC3Q8xMDAAu311kmY4HMYPfvAD1Go1GXnOOUPUtTCAoSbD6XSKo6UBzmazOHv2bE+2Z63FbySEQiFMTU2hWq0ilUr1OHndEMDrSSaGQa3eVkLrkfg62haWhZh8sKWe14Rt2TrLJjvK7Sb0BHHaKaDLutVqNVSrVQmeGDhXKpWejTrZLaZLqFojpu0mbR71VCyH0ZZwo9jNZC+s0EwW/QrvC4NFbWO1FojXR/8M6I6iuFIZfi3ml+uN9p3PPF9L36bLiDxHq8iX58J97/gztvBzGx2uSev4DX0MrhHN/hD6etAmMYjZbGXkq8E1BzBaJKupfh21UtVN48H2US4GXeYh3aZ3hNbshXXzO2bwuvyjF6Ju6dZ1cv6tXgg6k9LQfxsIBMSZ6EBMszpcONqg8Rpks1lUKhXZR4UzSGjsKPxMp9MysGwzRc1OpxN79+7F0NCQ7NcC9M47YBs9DTADGU2V81/NpukAlYwZH+pcLiezWzgzw+VyIR6PY/fu3YhEIhgYGJCsyW7vdoMwCGo0GgiFQj1BCY0XS42Li4twOByyOaBeu5rp63RWO0O4bij6dLvdiEQiaDabOHLkCCqViugZrIH9jh07xLGx9s7uLTpFlsqAVQe/d+9eVCoVpFIpJJNJ2VvswQcfxL333ovFxUXMzs5ifn4eJ06c2JBBDJ1HJBKBx+NBIpGQwKVWq0kAqjfs4zPGwIDBDaccU5PA7JXlO+tgO64Hnge3KOB9mZ6exsWLF+FwrM5oYQcYAxoGFFwHuvVbM290ROyE0cGstm9cf3rIIdcwbQUDWXa3bcR7erWw2+04fPgwtm3bhomJCfh8vh7pAdCrieR9BXpLJ0Av86G1SLT5TGqY1PJZ5f1n8GSdD0Pw3q4FVgy0lADAZcloJBKRdTo+Pt4z+4xrQ+tcuCbpP+v1uqxh7ddYsgdWg7d8Pi/jFbYSrjmA0YtER31cSGRk2NKsI0hdR+a/Vr2BDgh0WUdHpzriZrbGG6WNCBegDnKs76cXOT+Pdqpa00MDZM0IrMcDuvvxUAicSqV65rtUq1XZyXZgYEAybTq2zQKHw4EdO3ZgampKaHEAPddcB7W8Tprq1QGMrktbNQv6+3K5LIMR2bFFcfC+ffukXMRj2e29W1Zw3TCbZYDKrJxGpVAoSDmA2ZcOYpjt85woENYZJUsSZ8+eRT6fx/79+4Xh00HwyMgIxsfHUalURAvFspSmzrmGHQ4HJiYm0Gw2cfToUSwsLKBQKMBms+HgwYN43/veh+PHj+OZZ56By+XCqVOnNqwwnIFAJBLB7t270W63MT09LZo3Lczks7rW7+LxuGwUy0DVZrPJrsVaiKsZW6AbSNHmAMDc3JxQ8dyrho6OxyJLNzg4KOfBCcIcUMfkjPfPahP5fmScOf6eZSgyx8zU6aQ2s2gXWH029+7di7vvvlt+pu8tmTWyURxjwWdR+wagq2vhs65ZUM3I61lL1vk/mpHXAQCfe51YaQYeQI9dALqVA95f2hGu2VQqhfn5eQlgGCADkM+ubSNHOXg8nh5tpk7OWfZkwreVcN0YGEZ9ejiddby/prB1HZPQugdrB48WJelaMcEFwUxNH5sLi4EHszA9R0FH95q2JazR/1oPiY7+gdUFl0qlhA7XO1P39fUhkUhIp0OhUOihvXWpYTMFMDabTXRRNOTFYhHlclkMOJ07mQwaEToBKxOhmTXNmOj7yT2HqI0hS+H3+7GystITGNCYsbOJwSjfi0wiDSdFso1GA7lcToxLIBCQenU8HpfM2O12S5cS1xYNZrlcxg9/+EPZPqCvr+8yerfdbvfsIkt2rlAoIJlMwuPxiEaDARSdKB3hgQMHMDU1haWlJVy6dAlzc3N46qmnRPuxUZFKpfDss8+iv78fu3fvFh2Czky5Lihu56wW3l9OtO50Okgmkz1BpmbWeI/1MQk+e5opptOoVqs9JedarSZ/Tx0gyzwulwuZTEamNAcCAdlri+udNo3vo5MmBk+0DZwHRTaHjEs+n7+5N+oGgiVcgmXctZJPXh8r02ENJnQ5hYEm14X2M1onQ2aD76VFuroMpN9LJwT0MWSWeY91swHvI8+Hc5/4OwZOTJZbrZawspQvcE0StH1k5mZnZ/Gtb30LCwsLm7613oprDmBozOkEdKTL7IjQpRBm3/r3NDB03tQ28PWkArVQSwcS+nsd5PBvaQg4yIwCTx0k0AiuNbNF/95aMtK/40JutVqYm5tDNpvFuXPnsLKygsnJScRiMQwODiIajSKTySCbzYoR4kLWAcxmgt2+2qo6NDQkQlMGcP39/YjFYvIgspzCdXElZk1nOFxflUoFlUqlZ3ItKXYKq2kMOOaf9zmTyaBSqWBoaAixWKwne+IXgwGyMxRTLy4uotlc3dzR7/fj4MGDSCQS6Ovr67kO/f396O/vR7ValeFknU4HuVwOjz/+OBqNBvbu3SvzGRjYce1olo9BWi6Xw+Li4mUD0jqdrviUjCA3PvzhD38IAJidncWPfvSjng6ZjYh0Oo10Oo3du3dL6zifL13eoSaFyQDXFQOaaDSKXC6HZDIpHU06OdHPldYMAJAAwuv1yjwdHcCwjEdnQAerW1dZ0nK73Uin08jn8zIRFVgtHfBc1gooGQzrAM5utyOZTGJpaQnxeBzRaFRasGlDtgL4fAO9CaMuq/B+aBYUuPIeQ7znHPBm1bHwPujElqVBshk6qOWxtW3SgQ3XEgMY/oxBGJ9D3ZnJ57i/v79HB0VbSGaI5Wseg23h9J/s1mOpfWZmBt/4xjc2PTu3Fq5LAENnrbNYqw6ElKvOXKz6CN5sHRTQ2Orv+bfWAIbvrV/Pn2lnwL9nVMxj6L/T0bQOVngOutyl34cLmtkinSknhFJVD6wq0NldQuU7AOk6qtfrcDgc2L59O+x2u7TSPv7440gmkxvKYHk8Huzfvx+JRAIDAwM9Dybr/gBEPMnroDvD9MOqjQHQ1QLwulPNz2yNAQyFnDrj5v3n/eJ8FQ5H4/uzjKcDXzovdtnNzc1JeS8YDKLVaqFUKokB8fv9Ug4CICULrg27fVVc6/V60d/fL7vkatqXIDunrwWvG8+NwRuvAdcsS119fX04cOAA2u02jh07Js6A4wA2Cvr7+zE4OCjfj46Oin6NzollQDJWfF5ZVqFD6HQ6MnuHGS7XD6+jfuZ1Nq2fX6C3Vd/lciEYDGJoaEjWDdBNXPjM8/nW91wLQjlPiA5Vs8JMnPQO1/pYwKo94oiFbDaL5eVlXLp0aUPdz5cLh8OBXbt2oa+vD0NDQz3XkLCW+vh3a9lsK4vLn+mgkf7GmljznunXc62tFYysxcBYmSCywDqRbja7u9jr6oNmVvl+ZG30WuX4DTa/lMtlNJtN0VvRJubz+Q3lK64nrimAsWaLmooHeqcU6hY1LboipU9RJut+rBvTWOsbCfRO4tWLVCu0eY5cRNZylu5o0otPMyiM0rW2hf8y6LBmznQonU4Hw8PDAICpqSl0Ot1N/0qlkoz+5sIjY8WghpvJHThwAP39/XjHO94Bm82Gubm5y9pA1xs+nw8PP/wwpqamxNnz2tChc8O5QCCAWCwm81/oIBgM6IwG6GbEuqwYCARkawI6fupZMpkMAPTUinWpgG3/zK7p4Djvh1SzHo5HNqXZXN3gkZ+h0Wggk8lgYWEBmUwGt912G/bs2SPrRJcegdV1R2Hp+Pg4IpEIcrmczJEh62i325HP57G8vNxDe8fjcTlurVZDOp3uKT3QcLKjYWxsDH6/Hz/84Q/x2GOP9dyzjbJ2AGB8fBz33HOPnD93mWbw73K5MDo6CmA1iKN9cDqdiEQi8Pv98syWy2Vks1lZJ1qET1g7PLQDYubLRgI6jnZ7Vfy7fft26RwBusE1nRI1C3SGXE8Mpur1OpaWloQt5Dkze6aA2el0ik2kbeF9zmQyyOVyuHTpEk6fPi2lzc0Kl8uFe+65B3v37u1pTdfJp2ZaCGsgygR1LW0T0NWt6JKMTlgIzfzoKoBOsBl48nvN3ujgFlhNSnXZh7ZEz0yzJvw8T64hrcHRzTA8L7Zi85gsPadSqQ31rF9PXDMDoyNGfmnhk9WAA72ZDuu/enFq48IMWNP7/J1V/NbpdNsOaVQ0e0InaaX59Dlp6Bopj2eN6Pm3fBiomaBT5fnptlsaWl2H1W14fAgoIIzFYojH4+jr60MgEMCHP/xhPPTQQ/ibv/kbnD179rLOq/WAvodkVqhbIP1N5oF71DADBbrXX4+BByCZtW6vZ0Zr3V2c3+t1RMfC78kAkuYHuhoT1pFpHPSMmvn5edHNsH2e2TOPT/EuS5Nki5xOJ8rlMpLJJAqFggRNXCcMXhjAMLNimU23XfN6uN1u2Ym71WohHo9Ldq8D9uXlZUxPT2/4EkMmk8H58+cRj8dl8ioAKddpw67pf905wvk9XGtck3RmukRE0EZpFlTvGM3EjO/n8/nQ19eHfD4vU5kZGDObp2Mhjc/n2+ow+R4M0Pk5Go0GnnvuOdRqNdlmghN7OZWb6zWZTMq4gI18f68GazGx+ndA7zwwoNsezd9p266ZFdpwrRMjeExt47U9tpaI9Frkc8zz0KUlnTQxKNPjM3jfmZxZWZu13lszxrozr16vY2ZmBvPz82IzyOLPzMxs6uD2xXDNk3i1A9bOXgczmvbS7IYW5fEYOuLmvkBW0OAwA2V7aafTkdZLzqbh4mC2pjsRtCHTwZE2fLod0vpaHfUzoi6Xy+I8aHxrtRqWl5dlMzgq3uno2fLLa8WonoK/sbExDA0NYXx8HIlEArt37wawauz+4A/+QBzfeoOGhXvVJJNJlEolYRCCwSDC4XDPYDEGf2wTpViWTARFrktLS7IZozYMuoTE+0pBKxktdnuFw2HY7fYexovCSHbrABDmhe9TLpdx8eJFAKtb1HODNK/XK3oalqaA1TKZ7nxj+fD48ePSUdTpdEWe7DCiE9VMDLtlGLxwSizr+OzM6evrg9frFTE41+WxY8fwwx/+cMMbsEuXLmF2dhaHDx/Gnj175N5xeq3D4ZDPTs0Jh7cBq0acbePDw8MYHx/v0RvoeT9WZ9But4UZHRgYQDAYlHvAMq/X60UoFEIsFsP27dsxPz+PU6dOSScS0G0g0CMgtN6CgTudlc7SyTRXq1Wk02l87Wtfw/z8PObm5nraX3kfORwyk8lgcXFx0wcvBBMOHShw/TOpoWi90Wggm81KgsTfaZaczzBtDgM/K0tvs9lEb8QARidAa7EzTNY4VJCgTeP6dTgcGBwcFAZOJ/dsi+fPrMkv0JVp8B7r7ie73Y50Oo1CoYAnn3wSzzzzjJyjXjMb/fl/pbhmBsbKvGi2RIvcGPWuFVES1kXChaRLM3okM3cY1lmrngtAB6FLWUB3wXLBMPigg/T7/ZIRkfLT0bw+P81A6aBIf1a+ng7e+sUFyaiZ14pOfX5+HvV6HceOHcPw8LAEMC6XC+Pj4xIUcr7KysoKisXitd7alw06Ct4fXmf9OenQOVhMd/kwKG21Wj3BJ9A1YkSn05G9jsjSNZvNHhG3vub8GaFr4Na5ProsShGvnsrJ4JY6GDIfpHp5fixrkWrWWgqn0ym7mevJ0zo71BoKfTygW7YYGhoSKpqlDv18RKNRTE5OyhpOp9NYWlq68YvhZULbDF16aTabso8WSywUV+rrAUACPpYlrawNoW2PZgh1xwnXldZD6OfZbrcjGAz2bPGhmV5dEtDlzUqlIuufnXP6vFheXl5extLSkgRDVufFrUbYhr1Z4XA4RAvG0ptVS0Lby6SEzn+tcQyaeSfbar0+uhSkbbJeL2sx7fpfqzTBCr6G3ZbW12j7v5ZvASDVCSb2WjahpRnLy8uYn59HNpvd1NOXXwmuOYChY9EPP421de6LtayiI8u1AhreXHacrKysYHl5WZgZ7by0kaET0vVKHpuOhwuhXC7LRnjcsXd0dBShUAh33HEHEokEOp1Oz944OoPSn9tm605rpAMEVh8IBkV0NHTQLLVw52BG7TRi7faq+NLr9eLIkSPCyLBr5W1ve5uwOQsLC1heXsbJkydx9OjRa721LwsUHnLGCel4Zop6mCCzWeoIisUiFhYW5HO7XC4MDw9Ltkphmr7uxWIRy8vLPaUazsXQ9wlAz07G2ljQqZD9ACDrlsMGFxcX4fF4sH37dgnOOp2OZOOc/pvJZLCystLTekkDy92hKT7lZykUCiiXyxKEc02TLeRa4PqmHoKdB3a7HY888ohohxi8k/Erl8u4/fbbcc8990jn0re+9S189atf3bAZO4MvMmnlclkEqtFoFMFgUPZI0gFvp9NBNBrFyMiIrDMt6LQ6MTrJfD4vZUfdssxN/6hd0WVM7ig+OTkpgYTWIjBQ570mE8tjsO2brI/1vJaXl3Hs2DEsLy9j9+7d0rlEls/n8+HYsWO4cOHCpg5egFXt3IMPPoiRkZGe0flMKIBuQMEEqdFooFQqoVwuS4cfWXK9Lx07WbU+U2skmVBYZ23pkqD2LdbkVPszK5tDDd3S0hLs9tXp2iwpApBGA5346+BYN3HwM9EHMZmir3388cfxox/9aEt2Gb0UrluPro5IrUzLWszLlRgZfSyti6Ax4s1kVsUgQTstCqys58DjM/NmhExakfVzGiguItLEOlrWDxeDJh6bQk/90OhI2ioU5APDh44KctLPfCCYsWcymR6Ggg87349/czOdFD+LHgKlMxl9H/T1IZuhu5JYHtB6B15zXj9rpsvPbJ0HwWunKWldgtICPf5dq9WS7Jaicq3rYUasWRN+dpYQdXDONcyNFnUQYp1Dw3PS0zaZsWumj9DXgH/HGTUOhwN9fX2yGZ7D4UAoFJKgHIA44I0S0OgSMwMGJil8Fq0OjuduTaa009FlBuByWl3T+mRltM3Qzo/XORwOS7nX+kzrsjLtB1/DPbf4Gp4rwbIky6PcLw3obk/CYHezw2brzu3RgaaV9bAmt7SnLDVyfeuAUwcpQPceMrnSr7HqojTjpv0Sf66/gO4QVutracdoA/halkHJxlqrGJrd1/6y2WzKxHGujXQ63TM36lbCdZnEqzUfOtrVNxToUrM0+lpICXSFWqS/mQWTdg8EAujv7xcqUS9uXa7i96wpayFwuVyWmR7cnI1/qydu8jy4bwm7UZxOZ0+rrKb3Wq2WdBbNzc2h3W73jKO22+1CSzPzI2w2m9Df4XAYnU4HO3fu7Ll+XOB8IJeWlmQWimYNUqmUPDQ3yzG1Wi0sLS0hEAhgbGwMoVBIdAS8DzQmKysrSCaTskEf97/RQen8/HwPPc5/GXD6/X5pu9WlS64N/o3NZpMhZ9qhAEA4HEYoFJJJ0T6fT7Q7x44dk3tit9tlXgspbDIn1DiRAdHbQlSrVQwMDGD37t3I5/M4cuRIz+aS/Bw0uFwjDDqsGaAWFfIZy+fzYsC52Wiz2cS2bdt6MlOycwMDA3jDG94g62l+fh7/9E//tGGoZ5Zy6WjYDs3yitPpFAOuWU0GeVbhJYMLBhpcG5qR1XoIBtZMmngcsr7NZhORSATBYFA6iHi+ZGdOnz4trCL31OL98fl8SCaTmJ2d7UnUtN3RzND58+clIAO6NmCrZNt08tQAkX3T5RWtQ6E94z3XpUSn04mBgQF4vV4J8PhMt1ot2TixUqmsuVu7Zlo6nY50kupnD+gV6NLmkGkjC8pncmJiAkB3+xStp7HZbEgkEmJbOJaBzzwTL65J2s0/+7M/w8LCgpzDVhpi+HJxXQIY/a9eCHSi1tdbmRorrBEubyjpPtJq+qG3lqdoAAn9PQ3UysqKvD/r56xtk1bUdXbtJPVDpg0Qj81OBB4bwJpBha6/atZEl0D43lZKXNPPfMi1kJpB5c2CNVsB1t5sTTsU3bGjr4NmMIBeo2HNxvR7AaulIZvNJu2J1vPTbdfMclnGYQcSA0VO89XGDoCULhhQ8V8GL5yuTK0DDZjuUqNDtgoPyfgAvVoezV7qz00noClufTzSztwE0mazSavxRgPvL9eIZkv5e818aU2SDl6stkf/zKpv4M81+9LpdC57Lrke+Z66TMWgkjso0w4woaND7XRWhxlerQ5pqwQqLwZ9P9b6nbV8o7UrZCo122JdB9qe8O+t76l/ZvVPWoNmrRjQNzHIZcmX0MkUbY+WTbAUTN9m9Xl8DihSX1xcxPz8vMgdbnVct72QeBOo9qbBpKPlA80bTUemHR7ZCQYEpBZ57CuJntaCLtmQAWDNNJVKIZ/PY2FhAR6PB0NDQwgEApiYmJDz18I/OiYdofP8SM8zYOAskVQq1TOunhkDv49Goz3Dt0ghut1uGWLFIEobUF4rXi+tWp+ensbc3BxOnz4tnTQ3KzqnGG9wcFDYB7ILulyohao05B6PR5g1vo4BBT+rdhosm3G+AX9PMW0+n0cwGMTdd98Nl8uF6elpmbMBQFgTbnQ4PT2N6elpmeo7NDSEQ4cOIRgMYnBwUAJJTduzvJTJZCRYoWDP4XAglUrhwoULKJfLiEQiaDQa6O/vR7FYxIULF+B0OjE2NibXh39H3YTehJRrg91aZC/1ECxueMhzpPPlxpbBYBA7d+4UY/joo4/iL//yL+U6byRwbVPjoh0WNUrcZ4ragEgkAgA9k1ppA3TQoh2gDpbZ/cYMmWwoX2MtWfFZBSDBJr/v7+9HvV7H8vIyisUinn/+eZw/f160YNaZNLc6rAkI7RmTCDLwWm/C+8tElveGSQJZC2uCzBk7QDeo4JohC8QuQR6T9iqfz8uEYKDbmq1lA9zANRaLyZgIrje73S6ditzbamlpCXNzc7L5LT8rbQEZ9fn5efzVX/2VTKo2WMV1mcRrjVjpVPlzwiqG4kLUQYyOkPX8FV0jXEvfoSNi689p8NnxQcdPQ8SgJR6Pi+Nglqpr4bqcoaN5LlR2/5RKJdE7AN0siiJTLfKj4FA7sFAoJDMntNG0Cp51ANNoNBAMBqW8RS2EVUdyo6AzEEKzTbxnOihhwEejocXXV5qZcaVj0eDwHDRDx+CVTp1sCXUG6XRa9msqFAqIRqMIh8MIh8MiLKRQk7DqMcjkMOCgQeMXsEp7689l7X6yjiPQZRHeR6254ufjWuKzogMYniM1U3qtcH2Gw2FpGb5ZJceXAtcHNSdA975rTQmvhe4E0w6Of8djWhlCvRa5ngCInsLKEmvNhFVrY927ptPpwOv19mzYp9/b4OpgZWH0vbU2U/C66wRZ69usmjmgG9TyXnMd6fvFJFgHMCzx8Jnil9U/6YCZa4fBGm0Tn189toP7uGWzWSk7crd1g1Vc8yRe3cpcKBRQKpWQSqVEy0GdA+l4GgMq82mEgK6ehM5cz4axlp7WopY1uIDJuKRSKZlqSq3Azp07e/bM0TMaAIiIlsfS2pxqtYr5+XkUCgUJaNLpNJ577jnRolB/wajf4/FgeHhYJomyJZTZHqeGkrkiI6WHJPHfZrOJc+fOIZPJYHZ2VpgA1nk5yZP36EZvpV4sFvGnf/qniMViePe7343du3dLCywdMuvDdDhutxsjIyPyPQMX1o+pGaK+QGfSHo9HMine70ajIRspAsDTTz8tHUKcJ0ItQ6PRwMmTJ3Hp0iVs27YNk5OTGBoaQigUkvH+nU53XDfvMVu3WUKiuJcBK40eN1z0+/3i1Lg3lM/nk4CBTEw0GpXsnEEoAzIGuBwLzpq7zWYTrQyZNr2Fg81mkxk31NWQ4r799tvxi7/4i3Ku09PT+OM//uN1r6eTkSTr4XK5EA6He/RlFy9eFFbT5/MJc0bbYB0ORhqeTkuXAvmM0X5Q50QWmSP76dQ4g4f3zxrgaKYokUggGo2i3W5jYmICFy9exPT0dM/MEIPLt3/RexMxWGVTBbB2WYksomZkdQmQiSODDd11ppMJVgz4M6Drl2hDyHzSJtCH6PPVgxStSSiDI+rg0uk0jh8/jqWlpZ4Ah4kQKwBm3VyO68LAMItst9tiSLgIWq1WzzAu3jzNZmgDoDNQrTHRgjqrM9ewivh0d0ixWEQoFJLS1NDQkAQuWswFrL2XBoMJGsxsNoulpSXRM6TTaZw/f14eNNL+zMy4GNnNohkcBjPMpin4Anp3VuX/2SmTyWQwPz8voi5m6V6vVxzsWjqj6w0GVIFAQBwzMxKyB8xytere7/f31KivBM14EaTi6eipq+GQq2QyKeWGRqPRM7K/0Wjg0qVLOHPmjJTzotEoBgcHe/QUurzCYFCXQ9kWT6erWRHN5lFjxSCLDpoGzzrkSrOT+nPT+NpsNmFouBbYuabnhnC96iwUAKLRKPbv3y+sn8fjQTAYlNLYerEEWu9DW+H3+6V7h0EkHZqVPdFJjs6q+Qzwc2ntil53DKwZAJHR0s+qz+eTxM3KzPL5oz6D5VGXyyXDLDdayW6jgdfPKimw2mMNqzbO2tnDZ4XPsJYY6C8ry63ZFCZJumuJa4LJLgMXbZuAXqaPz6IWIC8tLeHkyZM3+tJuOVzzJF6v1yvsAoMBBgmRSAQ+n092XmUWubi4iHw+j7Nnz6JcLqOvr0/2BfH5fGJUNHXOQEmzEbobSZeagG5bG2uRfr8ffX19kkFprQsXvzZkehGz1MCx3efPn5cJqHrzP2trY6fTESO3a9cuDA0NIRKJCK3c6awq3QuFAjqdjhhPfgYO5NKzTYDulu+BQADFYhEHDhxALpdDJpORUeP5fF7+fzM7TFhu0VQnjb4OaPgAs42Y14m0PYcycVIlWRGK4DhGnUwWh4I5nU7p4tKiPoqzPR4PTp8+jeXlZQDA8PAwhoaGMDg4iHg8juHh4R6jxfkdFPIWi0VZh1xfwWAQ+/fvx969e5FOp5FKpTA0NIREIiFzcPx+P+LxODweD/bs2SNBlRbp8VotLS1heXkZwWBQdlZ2Op2Ix+NiVJkEsGS2uLiIRqMhXW96Emij0ZDaPM89n88jnU5L6cPj8eB973sfFhcX8Xd/93eyn9TNBp+55eVlHDlyBLFYDPfdd1+P3oCsnN5LC+jNzLXmCoAkEdQcMRjSQQcdHIW8dHqcw6LL0byOACQIZxClnRYAydATiYR0iW3EYYLrBWsJTjcf0BZqpl47f7aha9ZOv8Z6T3RpSDM69BFMhjSzz+eUzGk8HpekF0DP7s9a58lARgdeupXaZrNJ19TCwsKNvchbFNfMwLDkwSwuEAjIl950TVN1dK4zMzMoFotot9sIh8PirIDeabm67MQFojMdnbWuJbQFIJmmFklZ9+FZKxqnPoP7kGQyGVy6dAnHjx+Xa6Cjec12aGMYj8cxMjIiWgT9e7b1cXGT7mQmSAZLP4TtdlscdyKRQKlUwtzcnLTLUoNBJmst3dCNAIMyzjhhAKFZAYL3T3clMYNhuY5CZ4rCyUxxsCGNHkt7DID08XmPuA45S8dmW22T5hfLRzRavIZ6VoNmwBh0cr8qGrFCoSD3D4CsOX62RCKBlZUVYe8Y2DEI163/1uvGMqzO+inYpsbLbrdLMM3gTXfGkTHk7IhWa3WQ26FDh7CwsIBvf/vbN3ydXAm0EYVCAefPn8fQ0JB8Vj7TZC+ZwGhRP//PZ7jZbMqzTlaEDsmqeeEzwpIxr5/WIbHLbK0kyqrZ4nnw79kqyyDzZjCjmwH6HujuSc0Y8trqRA5AT6BgDRx1wqdlB/rn2mewLMtAlj6B3ar0ZUwq+BzyWec58730uuRzrJkbh8Mhk7z1DvYGV49r1sBUKhXZaMzlcqFUKiGdTovR1sEAGYvFxUVxckCXUaAwkgtKtz7TGdFgWYcPVSoVqVPSqHOBMRvXpSztVK0LnH/HTI+TVLmDNLNl7SBfDPV6Hc8++ywuXrwobBM/I7Ps/v5+GUDGh4KOUxth/Z7cyZo7IS8sLCCZTCKfz8tDFwwGLyu93Eg0Gg089thjOHnyJO6++25MTk7KfQmFQojH47JmdBs7gwsGBzQsnOOgS0QUp5JdYlZcKpWkjdXhcMiO05zLobVYAwMDyGQyonHgLq6VSgXxeBwTExOo1WpYWloSR9XpdDA2NiYZPIOp5eVl+TxcywxYGOA7HA7R3gSDQXQ6q+20XLeBQACjo6OIRCIIh8OIRCJIpVI4d+6cBFMMOpgxJhIJvPa1r4XP58PIyAiazaasLTI8DIK1Qaaod3x8XJ6LRqMhO1ivV/kIABYWFvDYY49JSaxcLuP06dNwOp09myeyRKoDyuXlZeRyOdn8lK+1XgOuN50Z09mQsaJuioza2NgY9uzZA6C72SwHX+op0Vp7oZljaqZsNhsGBwfh9/uRTqe3xDTda0G1WsX3v/99YdpGRkZkfWvo0hDQvQe6e5OJD9c50N3ehPcln88jn8/3dIayacJaZqWdOXv2LLLZrDC1nIKug1fNjNKP0Kc5HA5Eo1GxSVwTFNszMDJ4+bhmBoa1YN4onVXrmShWESUAaSnWRogUIBcPAxrSvzQW3DGWdVJqE+jUtMiSC4Tqbl1u0oud0EJhne2ze0XTlAyC1tLjENSHuN1uGZHPjJ4Oq91uC0XJbJEBDADJTMhG8PqUy2UJXlKplExlpO6BG5jdLDSbTbzwwgtwOp3ywPNhJsvB+0zDzhKRZji0+M7j8cjYdb3TKj8jqVvOb2GZioFCNptFKpWS4IV6l2w2Ky3f/KrX68KoAN2NQxlsRyIROS9uVV8qlXD+/HksLi6ir69PZq1wvVKESgGwz+eTY2azWelCIC3OwVbT09M4deoUlpeXMTMzI5+ZGduOHTvw6le/WjaXZMDqcDikTZPPWKFQkH13GGBxA8hwOCyJx3o702w22zOfplarYW5uDna7XUSMLOfpAKbdbiOTyWB6eloCNKDL5GodAxMaAGsmQiwXZzIZXLx4EefPn8ehQ4cwOjraM6OHAXW9XhdHqR0g0J3ZpAdmRqNRDA8P4+LFi7JJ6K2Ken11jzefz4e9e/diaGioh9EmtG6EtoEBoZYQAN173Ol0eko4DHAymYzIBzSDz7WvGfJ2u425uTnMz89jYGBAuhLJjlLXyb/lM6zLjbo5hYwx/Qg/q2mtf2W45gCGRpV0K1t56XhIbzMQYD1et5zxtdytWGsDdNYNdDdotAq69HwFGjDtCIFusMPFx0Wv9S/sXKpWq1heXsbKygpSqZTsjUJFuD4HOugXy1zptNkNxPej/oH0KceTk0lgGabRaIhOhA/buXPnkM1mceLECSwsLPRk/zwOyyw3i4Eh2u02Tp8+jWq1isnJSQwPD8vn5X2hKI7MnC7r8f7ojh+gW0YIhUIYHh5GNpvF9PS0vK9uV2SmRIYhkUggEAjg4sWLskEm1x7LoDRsAGRN6/IgS565XA71+upmiYlEQoIpTofVAkHdlslj0Bl7vV6ZXMxOpEqlglQqhXA4jIMHDwpbyeFz/GzRaFS6z2hEL168eFnrv35PrhH+S+NPZpRC040CzsrQJWKe7/T0NBqNBiYmJhCPx0UUznK2dlCa7u90OlLu43GZwdP2cBYPuwQZYHLdApAgickO1zVLRFyHDHjItnIGEbVvBqt+5KmnnsLMzAympqbQ398vz7q+lvyired95mvIYJNhSyaTKBaLEjDoci0AYXl5DlwzjUYDp06dQi6XQ6lUkqSBOjoml06nUxJJJmRWITrLhw6HQ+bT6ETNGkQbXD2uSwBD9oN0NPUv8XhcBJoUXpKeZfZKh0v9TDgcFkaHpQcdhLDrgouWX5pa1AaFxprBkNbWWKN3Zku5XA7FYhFnz56VNmzOKQEgTACAy0pda4EBC/UXfJD4L4M0ZpksBZCVobisUCj0zB05efKkbPw2OzuLUCiEYDCIRCKBUCgkTnU9ovt2u42zZ89ibm5OAspqtSpD5sgY8BzZjUOxLoeUMYDRzAADGJ/Ph0KhgJmZGaGCSelqlo6sDwOYSqWCxcVFqV1ThKcHJ3J/IK4vXQqgCLbRaGB4eBh9fX2yPYXWY/E68N4z6ycbQlZxZGQEfX19whBydszw8DCGh4dlA8xcLof5+Xlx1K1WS8oqfC7OnTuHUqkk3Uj5fB7lcllmE/HzMLHgs8HnlEP+NgoYwDgcDrm/Xq8XtVoN09PTKBQKMi2ZjoKlO9oVXR7mPeDzy/tFVoe2h8JrjjfQ++vwWeczqhMYLdwEIOUNh8Mh2kAOJzMBTBfNZhNHjhyBw+HAI488IvdT22quXS3eZsmUr6GtpC1PJpOYn59HPp9HqVSSRIFBC21Nu91GpVKRgLNareL48eOyYSxtBJNsMp1OpxPFYlHYHb029LkzmWLZmGvCBDDXhmvWwKTTaTEWLAfROIRCIdjt3emDAKQuX61WRVzIoGZlZeWy9jcuEi0IpVLd+vDriF2Xdvg66/fayLCWbbPZRJC5srIiA830AKNUKiU18qvdVI3vyyyfTARnwHBvlXA4LN0q7Jbi52LkT4NJY+33+8VhtVrdfVRYXuKsmpsJu92O7du3Y2xsDGNjYzK1OBqNilAV6Gax3K+IwaQW4uqfsfRCxmRgYAB33HGHBBecXslyW6vVkgGFerqrDmTpvIvFonQ/cW3oMihFvbpUWSwWJeNPJBISDLCNm4aL61g7Ov6Ojq2/vx+BQAArKyuo1Wqi5dDdW6FQSK4Ta+sUmtfrdUxOTva0esZiMWENtT6AgYtmZJhUnDp1SkpmGwW897x+bJXXLJMW6jPo1K3WZMV0+ZjJA4Aeap8jCjjgkKJMMq66VKRL0SxnUmRPW1WtVpHNZjE/Py/dYnoOya0Op9OJPXv2IJFIYHR0FG63u8fJW5NVBi5MXLXOj68HVqciu91uzM7OSkmd9pL2lX9D1p6CeHasMgHRjRFA12+wZM+klAEz0C1h0t/xvvOe015MTk7ida97HWZnZ3H27Nmbeu03M64pgGm325ifn0culxNHzI4Gm22124JUtx7gFQwGUa1W4fV6sbKygpmZGRQKBczPz6NYLCIejyMSiWB4eBijo6Pwer0IBoM9C1MbDL2Qgd6OE76GmZOm9oHuXkR8DYMvsiwU75JaBoBz585JN9XVDv6ikWWgQiaFWV4sFpNBagMDA5JpMkMEIFkDJ32GQiGZbROJROSYuVxOxphThHqzYbfbsX//ftx9993ys76+PvT392NlZQWZTEba7vkvReF0rrruzXtUKBSQy+XQ39+PSCSC8fFxjI6OIpfL4eLFizIThSU/h8Mhmz5evHhRNCe8JizPFQoFueYMIDSLovc+qtfrshFooVCAx+MRIW0ul0Mul5Mdh6ntoZiXQQRZJADS/bR9+3YkEgksLS0hl8thcHAQkUgE5XIZS0tLEpDQafv9finNcSuEsbExocBbrZZoOgjqw7Sol/+v1+u4dOkS/uEf/mHDjSvn2gBWW9vdbrdsdqo1CWRfdNlY61+4pnhMLfoHuhvJ5vN5LC4uIp1Oi3CfzlSvSzoxHqvT6YizIhNDtmt5eRkXLlyQJIWaJINVm/aa17wGt912myS1+l5aE1oGG9agEUBPQDoyMoKRkRF5je44DIVCkkAxgNHJNO0S7YXWwum5QyyBsyTOAJjfkxlyu92ybQ0DZQY8+/btw549e/Doo4/i/Pnz665F2yy45jkw/f39GBgYkABmdHQUExMT8nMabh1k8HtOqc1ms2g2VzdC0yPfqYkgnQusva26LtHwxtMg0YAzewO6OgkaeTpHPbCK2Rxfy2Po+Rp6IBUfMjIk2nDq8+bP6PSoGXK5XFJO4bXgDBvWdckO8DzOnz+PTCYjmh3+nF96N+ebBYfDgV27dqGvrw8jIyM9HVe6Xk09CJ0Rs2ZNqZJZoEMgE0WamNeYDoVsBR0djR+NC7NoXneyGPl8HhcuXJCAJxaLIRKJ9JQwyZbQcAWDQdGQ6OF4yWRSNBucFZHL5cS5snxFR6ln25C54dwZHazz2eF6p6Hk4Ei9Lq1BOu8LDTvXp84WeR29Xi8OHjyIvr4+nD17dsNN/6Sj0ZoUBsR0aAyGCV4XBmkA5NnQwyJ1iSISiaBWq8Hv9yORSGBgYOAyFoZ/q4eWkW3T5U8GV7yfDJBzuZxhXxT0tSBzRb0Kn1Umx7rZQ/+ru1b5c5vNJgkx7x87zEKhUI/ujeWidruNaDQKu92ObDbbs00MfQXXi3WI4lrVAQa7vPdM1Oi3uFbC4TBuu+02KReb9fHiuKYAxm63Y/fu3bj99tvFEZM1CYfD8tDTuDIa5d4rnGPC0hEdMUtSdDTU02g9BBcNF6xuXeN7kbplRE9WRQsYWbPWxp0/Y3cQ23gp6GKETa0Aj+N2uxGJRNBqrY6v16Ul/p9GlnqVcDgsmTiz+pWVFYRCIUxMTAiDVavVcOzYMeRyOczOzoqok9E/szzS3S8lKr5R8Hg8eNOb3oQ77rijZ94OS4w0Rm63W0pcejO8QCAAoOsMuCkm5+dwz6pOp7s/ER3v5OQkarUalpeXpaTQbDalbZ8/i0ajUnJqNpuYm5vDqVOnpPyybds2TExMCJvFDT95PNbJ6fRYHigWizh9+jROnTqFnTt34uDBgygWi5idnRX6uFgs4uTJkzIbyO/3SzDDbiQGt7rkxGCM50Dx/IULF2TNApA1qTVEDID4M/6conp2b5HpfNe73oV0Oo0/+IM/2HABjN1uRzQalW03ACCZTIpYnWuEiYjdvjq7JZ/Pi1hbP59co/ra+P1+jI2NyQaZnC3EDjCtmQC6zonnxzIWHRWDd+pv0uk0ksnkmh2Qtypoy1ny00kjOwfJkLKUQ2ZTlwQZVOqA32azYWRkBIODg8hkMtI5mEwmMTQ0hL6+vp5Wa84kYwD7/PPPyw7Q1NDxOdUlfu13NBgUORwOLC8v90gPotGoVCQKhQKGhobw1re+VbYW0EmyweW4ZgaGi0pn0YxEdY3aKp7V/2o2gouGPfpAd3Hzi+UYKxNDA6+NCTMu3aKtdTQU/a4lomKGx4eEbFBfXx/Gxsa6F9HZ3VcDgLSU8wFkSYQ0eLFYRDAYlHOho2JgxqBE7xTMOSflclnElvpvdP11retzo+F0OjE6Oiq6DTpgPRODn4UOVe+TpV/H1zDgANCzsaEuDWoNBNeT1+uVTLjdbqOvr6+nCw4AhoaGhDXhuopEIujv7xdBYSAQkJkdvJ5aX8UggBk+f6/XrhbvauOm1z/LlGQR2OnAz8t2Tf4dM3qeAwNWAD2bOlrBe0DjqUcYAN0poXT0G0lY6HK5MDAwILaCTCe35uDUb929R5vAcQp6yrWeBaVtln7mdccLnSv/HkDP/4GuvdDjJPg6vQ504nWrw+FwSOk8EAjIPQN6tUVWu7aW8FXbDj5begAe7TT9DI+RzWZ7AnzaLu4zxmRTNwjo4YVap6d9mi5XamZcP7NWTZoJal8errkLSYtN6YhZJ9QCLC4goLswecM5eKzRaPRsO8CyUbPZ7NlET+tauHCsRls7Ny6WUqkkxohZ+5WCF32+NPT8vLfffjt27tyJcDiMvr4+EWCycymbzeLYsWOiQalUKtKeymFb3GqB14O0KJmidruN5eVluRYcNFYul4WpovHVG2rquvDNRCAQwE/8xE9gcnJSSodsP+UgQDIeFMexG4DDArWhYkDGbgOW2dYyaKSZyY5w9Dud0NTUFGw2m3QOMUCgQeFW9rOzszh9+jSeeOIJfPazn8Udd9yB//Af/gMCgYAMedMbKzabTSSTSZTLZanXc1M3imtZStKD9xgQsaTG2T2VSkWyf85oYUCmnSyfHwCSjSaTSQDArl27EAwGZY0TNJJcPxyRzz29+Iyxk1A7+42AcDiMN7zhDQgGg1hcXBThZK1Ww6te9Srs3btXtjBhiYlg9s6MnU6JNoSlQgYovGcMOIDuTBAdyPBYtGO6VM4ghr8nE8ln3WAVfr8fP/7jP46xsTGEw+Ge8jGhy3W8P3rwm7YHutvM5XLJxrtcF5FIRMq/tJsnTpyQDshAIIDt27fD6/VidHQUfX19mJqakueFLDE3RiWrz4CVfkhLCZrNppT/eb5a7E82mD6OyZYJZF4a1xzAWLNgK0NypaBCO1lStFzA/DkzrLXalK2GQAc11u+5mLUjqNfrKBQKUvPma7gQtWAYuHxLdLZoss2SextxH55EIiF0NeueOqsDupuD8TPyuunaqi6JUQ9C9kJPeGVHyXpF8OyQicViPVNPta5IX0stxqMx0c5ZB6a8Xjpo4ZogW6WHE9J56PIAf851RsFeo9GQHbHHxsZQLpcxOzsru4Zns1mhfHl+vL50Vjp41kaSpTGOCuD5WQN43aGkO4YqlYp0rOkN6KiZoaHW2xZoLQBfx9fqbiaKnVkG0YJlvt96CAkZ3HK9s7srkUggFovB6/VKsEbHQcbIuiEmoR0LobN74HINBTNr/s4awGh2UIt5rcfR37NMSEdmANGXUSvHNWcNnl+KLdf2WfsBXZbicTVTQtZRs3F6HozWzJFxsdpY/T3P+0pJJO2Hbssne8rnmJPCt23bJmM2KGEw4t5eXHMAw+gR6A500jS59aG20mdAd8ATnT9LJdw4kUODAoGA1CvplLhQtJAK6C4gTelHo1Gh68mW0AlwHgcnk3Kypg6IuFC5cSDr7ax3dzodxGIxKYHVajXJ0C9cuCC6GbI/VLdTA8QyAXUgXLicMTI/P49Wq4XR0VEEAgFEIhE4nU5cuHABy8vLWF5eXjfNgt1uly4jsgntdluyep198tqyJMd7oJ0EjQUfcgYqvAdcZ2QQBgYGpP1St1jS6TscDmzfvv1FP4PT6cS+ffuwc+dODA0NIZVK4Zvf/Cbcbjd27dolZUI6TS0mpg6pr69PziMQCIgOi+sxnU5jdna2JwDp7++X+UcsMXLacDqdFiNGPRRLVgCkLZQlSZfLhXq9jmKx2BPUkgHz+/0Ih8NYXl7G6dOnhTXis9RsNpFOp4WVudkYGBjAgQMHsLy8jKNHj2J4eBg/9VM/JZug8jpXq1UMDg4KC0pRtjbw1gAR6M3WdcZOW8Xjk7Xhl26l5/2kDWK5TQuptXBXC7zn5uaME7KA154BNq89bTl9jLYTOqkBIOysNZhk0Mg5P7z/OqAlY5xIJISptdlsiMfjACCCfmB1hpMuETNgoc/jnki0f3w/a6MCBf5k3J1OJ6LRKPr7+6Wr8tChQyiVSlhcXMTS0hK+/e1vbzhN2nrjmgMYzVRYtS10PjoIsP6trg3zXzpuoJsRskxAp8ZjW8WxVuhj0znyZzqTZVs0jRQDCh2A0SGwTkpxqq5168CKWazP55O9dsi2aAOpOxR4nXQZhXQjaXEKppnlr8ek3ReDrj/TwPBe61k+DDKAbkZMJ6B1T5p1AbodI0A3a7F26fB3Vgd2NXC73RgcHES1WkU6nYbL5cL4+Phlui1dZqRR1RubcmyAPjca6E6nIxtU8l+2VmpBI42c1lXxelmvOdBtFdZ/Q5aIInpmsWztZIcVj8s9qtaLwta6HJYPNVPHNcIgntnslcozXAOaGbayK1Y216q50Kyf1ljo97TaOjYKZLNZFAoFKWEarA2ta7MyY9afE3qd6ONY5/5YXw9AWFo+BywJ6oScCRdF+2QyrQNW9R5+OjDm7xlcaxafzzZHj5B91B2PLDe3222RHOgxELc6rjmA0SJe3TnE7iGgG1ywDZGGlDQtgwguTmbneiM/ZjHcd4QOhJGuzmh18LQWI8Obz9IAh73Nz89LtK8FWBQHjo+PI5FIYHh4GENDQz17M5G+ZjmMwQ4FpKOjoxKI6M9KNqpcLkubXjqdlvosHwK/348f+7EfE81Ip9MRASwHj62ncWy328jn88hms+LA9dRhh8MhDofGnw8s/2232zJZlgZjdnZWWoXb7bYEfJygC/QGzmRD3G43QqGQ3KOXE8DomSAzMzPCwGjqWZdsXC6XlDf4eYPBYM+OtVwjsVgMs7OzqFarGBgYgM/nk2FbnU4H5XK5RwCsS5bt9uqU6EAggKGhIdTrdczNzUmgqzUdrKcPDQ2JLqfdbiOdTmNpaQlDQ0O4//77ZXidLlFSx7YeQTHnF+k5NhcuXJAAj+fb6XQwOTmJnTt3SgatA2Pt8Ox2u9iRQqEAoDtTicEaP6tOWrQT1DZGB8YAeoJKrg2u5XK5jG9+85t4+umnr3pm1K0Gq16LWjkG3hradpLhBSBJAZPSYrEo5WfqmfTYBf6ONonnAfQmPgyUmXy0Wi2xcxyGp9cZfQb9B4Nrbav0ZyFjNzAwgIGBAdjtdtG/hMNhGQCaSCRkgvMTTzwh6/hWxzUHMEBvL76uHVpZBQYP/JftnDqoALr1SD1DRtekdYama/1ao8BzsYo+9cOijR21KqQceSwuYjoJZoQMHrT2gteABpHvQ2enGR+eFzNKLWSlBkG3FFJASlGs1o3Qaa53Z4NmSay1YH4O68BBreHQbJO1Vk3HzHvCIJZMGe+RvrZkuF7uVvU0nlw/DEhJ9TKboiFkGYH73NCJ6S4fltGokWGpkqUozYRYmT9eJ65Tnclx/evnQa93XUqz2+2ynQCvbafTkfJStVrt2bh0PRgYrn06F7bbM8Di2qDmiuVeXiergyBoa7gOGXxQe0RojROx1lwPDW27eD0bjQay2SxKpRLm5+cxMzNzbRdmi0OzFVznOhC13lv9bPJvrLoU3lfd/aVZNR7X4/H0+AVr0GTVmDHp1POTWPbWfoD/WhNqfZ58FrmVjh7xoVu7O50ORkZG4HK5ZN8vHoujM25FXHMAQ6qb0OPaScVZ6T8tstOZDSlaUsYUM2nHxiBgZmamp+QAQGqL1K44nU6ZykoKl23IWovDh4WROB1KPB6H1+uVTD6RSCASiSAWi8lIfEIHSvpz6QCDDpZZnFUsTMU86ch4PI5qtYq5uTkkk0nZuVY/mKSodcv1eoDXj8PkKFwlm8ZAgs6fDymZtEKhgGQyia9//evIZrPiyH/sx35M2IZyuQybzdazzw0DGLJ0nONAvdQr/SwjIyOo1+s4dOgQKpUK5ubm4Ha7MTY2hkAgIMHswMCAdNHZ7d1N26wBPDdLbDQamJyclPXidK7u2s2uNK3z0UESrxufkdnZWQBdtpLXkZ1OOvDmpGy/34/R0VGMjY3he9/7Hn7lV35FRMO6VMeAZmlp6bqsjVeCsbExvO51rwMA5PN52T/K5XLhVa96FeLxOIaGhuB0OsU26J3nNU2vmSydMQMQ5lRfc/18cr6SzWYTFsjaZcnSNicwf/Ob38Ts7KywsBQdG6wN2gldOtYlTR106unk3P+M95PMrdbO0T/oJECXaNcKPrQNZ6mXCZaWMPC5pM/jLBen0ylbu9AO8HwYbHB99ff3Y3h4GJFIROaj6W4lIhwOIxKJoF6v47777hMd5srKCv7qr/4KJ0+evMl3bWPgunQhaXZDG8K1omMrE0PohcQZF5xeysXGm6anzPJmcwGyPMWfM6ssFovI5XIyOE/XK1mW4KKMRqOyz47WmpDSY4CjqUz9r/7M+lpYI3/N8DCb1lkiu5h4zrlcbkNH2rrlm6wDDQ2DSl4Dza6w7ryysoL5+Xkkk0nZ1+juu+/uEdzxb3QAyM4coKtD0m20LwdkkDjUbWBgAPl8Hslkssew8j7q8hcNKO+bZsSYKQEQwW25XBb2hiMD6CS11oOfV8/5YVeS7rTiPWBN3cryUX/j9XqRyWTw3e9+d8Ns3MjPyOsWCASwbds21Go1ERTT8Pf392NwcLCHnaVj0Q5vLX0eHSXvje4I1MwWn00ym7QNfD8AEoQzGSqVSsjlcjhz5gzOnTv3iq8Fn32rzmktsKy+maHtIKFtK599ze5rNkNrTvi6F9Ne8mearSSry9/pL90Wz2dczxmiXSMjrs/ZysbrkjoASdQ5JkKfs9ZaAd2y5+joKFqt1Y1c8/m8bNWjr8d6sKfrgesi4r2ScM5aRuCF1ZN59cXm63SXkpW+5ZRN7gRLVoNGjBkoaWcKPLX+Qhsz/qs/g1WUZ30guFj1eVsDOP0AWgMYAOJ0WBbicDtm9gzCuIMzR09vVDSbTWGIyFixI4vOk9NqBwcHMTU1JXsD8XedTgdvfOMbUSqVcOrUKVSrVSwtLaFarSIUColWRAusAUjZJh6PS1cNg4SXC4fDIXN76vU69uzZIzMaaHza7baUg1qtlqw1lvl0Rs+16HCsDuyi3qleryObzQJYHapHx0rowIXrj0JznYny79LptGhX2u22TBOl4T19+jTm5+dx8eJFnD59GtPT0xtKULp7924cOnQI58+fx49+9CPp5CCz4vF4MDU1Bb/fL6wXnxGta2DyQ1jLcDopYKCjnRXfi23sZAK1GDMUCiGfz+PMmTNYWVmR4NbtdgtTeC3o7+/Hxz72MUxMTPSU+oBeprfdbuNb3/oW/vzP/3zTOiwyqpzJpcu3ACQYZ1lHC/mz2SyeeeYZCfgdDgeGh4cRCAQQjUZFR6eFtUwYarWa7H/GwIBlIiYH7DAFujaf9lk3qOhpwLw3fC1lAWRI+bccjqe3MtAaHOs6og/Ta54/u/POOxGNRmU20uzsLObn52/ODVxnXBcNzJWwVgRsdfZrPXia3mOWo4MOoDtcTrcutlot2YgrnU6jUqnIDs9c1HQwDCDI8mjNATuFrGP5aUisgZUOzqzME/+1fk69mPl56Jx1Vqhng2xk8NqTOuUXKV1qjJLJpNwPMmYMEGw2G3bu3CltwBRB1mo1abXXa4FsA50XByqyjPNKQbak3W4jkUj0aGDm5ubEiGntjdYy6RKpZtSCwWAPe0gHqfVOGroMwmNVq1UJerXOi9eJLb5aG2K3r+7ncubMGTz11FN49NFHX/G1uVFIJBLYu3evrAOd4FCDMDw8LOuATkM3AOjn0hrEWJMRa+kZgDgFu90uQlLdacT7QduTSqWQzWZx7tw5WSu8ny8HWpNjs9kQjUbxute9DgcOHOhhG4AuU8R/FxcX8Vd/9Vc94ys2E3hPtP2lXdQspi7v8HpUq1XMzMygVCqhVqvJc9FurwpvrXtUUSrAsRdMQq0Tvpk80FdYz9e6lliaoo6NNo2bgrKDlCVMzZryS/sNflZtE/ivDrj5XIyMjMDpdMpWN4VCAUtLSy/qf7YKrjmA4c2yig4BrHnxtahQsxW6TsmuJh0YWEtV1hvO1w8ODqLRaKC/v1+mnrIrhrQsI2U9uVaflz62jqz1w6ZFZDrgstbSGalzxg0XP4MnPqTU2jSbTRQKBZncykxxo6NWq+GJJ57A2bNn8fa3vx1DQ0PS9cFabb1el71/Lly40GOoyFIwg2b3jO4g4r5E1L/wGmrBN4Oca0EoFMLw8DBKpRKWlpZkGwcdaITDYcny6PTI3iwsLAhLVK1WUSwWexi/vr4+GZhXqVRw4sQJeDweTE5OSvlSz5zhRnLc/NFms/VM8tQGioP3WC7K5XKoVCqIx+N44xvfiGKxiO9+97sbbk2dPXu2p8OI2WsgEMDu3bt71gqDeQbIDPw1E8vkhpk5WRSuDQaf7Djk86qHirGsB3TLF9TQ5fN5LC0t9exUn8lk5H1fDnbv3o0PfehDot8LhUKYnJzsadHXZRQd8Dz88MNIJBJ44okn8Kd/+qcbilW7GpTLZXzrW99CPB7H4cOHZed4AD1BBQNKMjS0mffdd588c+12W7aR4L2kXo7BP9eMvr86GKE4nGtFB4VMLnUJUTOAZIvoH1qtlgjzmTSHQqGerkW7vbsZJNA7gJXVBq7JfD4va5znbbPZZPPkXC6HcrmMsbEx3H333TK7aHZ2FkeOHOlheLcKrimA4cVsNBo9BhfAZU5EBzF8AK2LRD+cV8o6GDXrDh2gqxynEJcLQSu5rcJh627GVkpZR9s8P/2lF65eyHwP/TfMBvREVk0HksqsVqs95bG1MvONiEajgbNnz2JhYQGPPPIIPB6PiK9LpRJKpZJkr41GA0tLS5KFcB05nU55qCmSJo27uLgorYOautV741AHcj0Qi8Vgs9mwsLDQw4IxK/f5fAiFQj1aKgBC/XKQXbVa7dG6cMNPOqBarYbZ2VnYbDYkEglhCRnMORyOns3fdDlJg2uE+2SxzDU3N4dsNouHHnoIhw8fxuOPP97zbG0ULC4uYnFxUb4nQxUIBGQXYe4VRYqfz6hu29f7yfAZ5/XUmhJtYzSbyv8zkbImOBTaszGAHYGasX25TMjIyAje//73y/RuAJcx0ATtDu3KoUOHcNddd8Hv9+PLX/7ypgtg6vU6jh49Cp/Ph507d2JsbKxHjwR0mWjORSJj4na7sXfvXmFf9PYq2qZQ5E9mjMxKOBy+TENEDZ21tAj0bo3Dc7Qy4/Q1DKI4lJQBDJlRtlfTl+lgjVpQMjMAJKBnok/7Z7fbkUgkAKwKfcvlspQeGWi73W4899xzJoBZC5lMBnNzc4hEIpL9chiPNRDR4jlmPVqYSFg1J0Avq2NlYXRUSodHqk6LPfn3fCCYfeluIZ6bDmLobLSmRxs2Znj659oo6sCOhimfz8sCo8alWCz27HXEsgBpzM0QzFCLMjIygnQ6LVOG+Rl4TZkBs6ODzAJblTkQkN1szGIoCCaFTANFURvLSNfjczgcDsmg6MA4CZrZMstcXEMsNXEGEoAePQ7PG1jNvMvlMk6dOoVCoYDTp09jbm5O9pMqFovC3tCZauEhA+NWqyWzgxKJBPr6+hAOh0VgXCgU4Ha7sbi4iEQigTe+8Y2yZpeWlvCjH/1owzm+XC6Ho0ePYnx8HDt37hSHoJ9f3d2nxbycBcTro52aNfDTe1tpfQXQ1SHpv9Udk5ycTCdGgfTw8DDq9brsXXYl7N+/H29729vk8+kWWi0apUMDejWHdGatVgt33XUXfud3fgfPPfccvvCFL1yzDmc9oEuiTAp4L3Rrs2bOqDfjDvM6yNBJpi7b8G+4bsjE6CBWQ+vZ+HsdIOkgx+qnrMEG2VEmrfwbnYxrWNl8zSYS9HGhUKhnZASn25dKJRw8eBDZbBbT09ObstR4JVwzA5PL5bCwsIBKpSJ7zLCV1lpusXZl8EuXcnTZhU4EuFwsbC3d8MGnY4lEIj2tbLoMReNHYSz/tdLJmlbUQYheVJoxsgZWa9VLmckvLi5ieXlZ/qXx1YaZ4lAudE01blTYbDbEYjEMDg6iUqn0bCWgsyiXy9XTEcax/LwHvHd6QJ9uyWYgwNpyvV6XcsnAwMDLGlx3pc9BRkjXzjm7JRAIwOPxIJ/PI51Oy31m1xvpa+6V1W63RZ/CUtDOnTvRaDQwOzuLXC6Hc+fOifA8HA5jcXERs7OzGBwcxPj4+GXMgt1ul72SuK76+/vh8XikvBUKhWQoXTKZRF9fH97whjfIZpvPPfccnn322Q0XwBQKBbzwwgsyF0Z3iKz1rJCK17oxlhn186mHztGx8LiEtk1cqwyU9KRkJhm8FwzUGbyWy+UXDST27t2Lf/Nv/o04HdozPi9rgeetnSgA7Nu3D/v27cORI0fwpS99aVMGMNrOXimIpO2lnaB8QW+My2dMs+G8pixB6/Ki3jSY99XKAFmTB528anuvfYQOTFg+pq/h76w+xurneP78DGQcGQxRI6YTO4LPSbVaxYEDB3Dp0iXZxmSr4JoDGHY/jI+Py8KwBgBaK6In0V7JGevFqxct6XkGH0A3sKEjCwQCMg2YbIxe/DR4OhLWQQbfV//L31spOGojarWa1Cd5HBpO64RQLnSWEcLhMEZHR8UA8jwbjYa0jLMF/PHHH9/wExjr9Tq+8Y1vYHp6GlNTU+jv7xfDTFaM2bLD4UAsFuvJXpgZceAay3ykXVmG0caFBicUCr3sqbsv9jlarZYEVuFwWL5nl0Cn04HX60U0GpW1zu6VaDQqtXSeH1v8+Tl5L3fv3o2RkREcO3YMyWQSpVIJc3NzKJfLso40u8Dnod1uo1QqodVqCe2dy+UkkGd7pnUeCrNQv9+PpaWlntLKRkM2m8X3vvc9RKNRTExMSIlFOxD9xWeH98/lcklAA6w9CZU/1xo42imW79gRuLy8jJMnTyKZTArTy32Y4vG4rG+yA2vh4MGDePDBB3Hw4EG5vzwHng8DSj175Er3SQvFA4EA3vrWt+LSpUt44oknxE5udDSbTTz33HNIpVLYuXNnjxZGPzNa/8Gkk7ZVs/28z/Q5HCvAMox+nnhMq2Onf7DqjgBc5t80s6e/t+7qTiaR68QaEOlz57H4PeeXpVIp2Gw2mavFY1EXp4doNptNhEIh7Nu3D3a7HT/84Q+v8U5tLFxzALOwsIDFxUXJ6KgT0DeEESxpWhpfTRFqWAMHGiTOgWH5h5k7O4mYuXJSLkdI64he08t0LISOhIEu42ENYPh9pVJBMplEJpPBpUuXAHS3VhgYGJBMXU/sBbobH7IcwfNn9wwpbQYwFHweP358wwcw1WoVX/rSl+DxePDJT34SO3bsEDFZKBRCNBoVYavH40EkEpH2YJ1dk5anceL8HQYwNOyc0ErW4XoELwAkU2JLOLvceB/JtOhdwWlEGKxFIhFUKhXZRVYbPTpEt9uNQ4cOwW63o1AoyLyfSqXSU4rVrBwACXb1KHWnc3Vjz1qthrGxMRGE6iAmGo3KRE+v14u5ublr6ti60Ugmk/ibv/kbDA4O4qd+6qdkZDwzZN3xxmusJwn7/X5ZT7oVlX/PZ5rXk46RTo73mfdrdnYWzzzzTE+pMxgMymaALAWRSVsLP/ZjP4b//J//MwD06C+A3rELQLfkrJMr7RBp1yqViti/n/mZn8GxY8dw7NixTRPANBoNPP7443C5XHjve9+LkZGRNV+nAxhg9XMzYdS2G4Dox3QQWK/XUSgUemZI6WtEVtNmswmLwyBT6zb5Wq1Ho/1isu1wdLcx4O95nrQjZBF1tYGvtSZ2lBgkk0l0Oh2Mj4/LjDK73S6b6FLIzPMIh8N41ateJdWNrYTrYu07ndWe/JmZGYTDYQwNDcmsBGvmoGu5/FsrI6NZF0azZEy0OJbH1gtXl4msDz/QjWj14CK2+gJd2o0LXgcw/D0XNseuU8vC7JYGTEfUV/rSGzrqz0P2hg+N3+/f0JmyBh/kbDaLhYWFnrZ03g86XN5Pa9eZnr9AR6L1DxS5MgMBVoOn63mddB3e4/H0TMjkWuU90+ULipdZAtRotVb3aeE9pZGhwQEgwRL34OJn4zE1wxcKhVCtVnHy5En5ndPplDk2LHEMDw9jcHBQriEN2WYQ9vGcyYZwbTARYUs1ACn7ARCHxXvIGTx87vRzzXtq3UhWd5xoITfZN6fTKQEMdxg+f/68aNzWAtcJn3W+F3D5Jp1rZeX6mmhmuV6vY35+Hv/0T/+E8+fPb/jRC1Zom6/Ltrx/mo3g67UuSv9e/04/x5ppZ/mHQSQTDL5OTzwHunZca2WsLJ5m4GjH9d9YpQfW0pTu6tXvS+ZVa3b4Xpz/on9GWQavB3VCr33ta7G0tIQTJ05suvWxFq7bHJjZ2VnJ5hKJBOx2u7SKcdT6WkbDmnEA6IliGbhQyMmFQGrOGiDRkbAubQ1yuHhI/9KQkC60zn3RARdrrlzw+XweuVwOqVQKS0tL4pSCwSD6+vp6mB8+ODry5zXhlw7E6KQ6ndVR1swaNgs6ndWNGI8dO4ZgMAifzyet1P39/di2bZvQ/aS+2+22ZM7W0fiFQgF2u12cOjVO3M2ZmVWtVnvFWwgA3c01eR+4LrhPSbFY7GEOGUiRZdIBsJ4SzbVXr9eRTqdht9sxPDwsOh+WKciqtFotYRHZWs/hW9RZBAIB9Pf3I51O47HHHkMqlcKDDz6IgYEBnDt3DrVaDalUCqVSCa973eswODgogcBaJdGNjHZ7VfCtW0/JUDKb1RoHip7JULFsydKkDnS1DWLQqef80BYxA+b6IDvHLUf6+vpQr9dx4sQJXLhw4YrXlwMHWcpbC9rxrKWL0IkU7VatVsPRo0fx+c9/fsNP7X4xMMAjA6ltstXpapkBcPmu7EwC6RdohyktoLbJqtGkj9Clf63FYZJsPaZ1KwOtX9SlJdoDBi+8l4VCAZlMBi6XS5ggBjosPXEvJLKz6XRa9G/RaBQA5Hhc47VaDcPDw/jIRz6CM2fO4LOf/awJYDS4iFZWVpBKpRAIBJDJZERUy3IKbzYXJIMTLlot0NO1XVK8NAqkw6irYNcF6TMuXB246HIVMzcuUgYy1BNovY6euqvBRRaPxzE2NiYMDMsKXLw6QNMZAD+HtbymI3QyMfxiTf9K+qGNgna7jaWlJZw+fRr79+/H2NiY1J815a+NLA2xvgZarKjvBVkrnSHTsZDReLlgZwmDD5YudZbHtarr38yMyNJYjZ8OPHnOLOe4XC7Z4iKZTCKdTvcMM3Q6nT2aLS36A7pszeDgIHw+H+LxuMwTohaG2phjx46J6NjlcsHv9+O5557bFI6OO29XKhXs3LlTthixdjHy2rA7SyciVvZXOz9dNtI6Pa6rQqGAVCqFYrEIoMv0cPYQBcPE1QgltT3j+az1Gv07XfayBmAUPFMLsRlBWcKpU6ewbds2jIyM9AQLAC4LJAjaTH2vrRpIvod+vWZU9HnoQEWXlLhu6Kv4Pjw3HluzOJpF0swQPxcTYz33iwGI9gv8vDrg0r/TNkJfFz4X9CFbBdd9Em8qlcILL7wgGQaZCE7E1VkNh4Pp7JLGWm8EScGSdmTszhkcHEQgEMDIyIhMJ12L5tMUIx2M9fVaq9NsNpHL5aS7xaqXASCi0bGxMezdu1d+zvPTRlA7HQZfVsdMJ0VtRSKREG1MOBxGOBxGMBgUHdBGRrvdxo9+9CMcOXIE4+PjOHDgAObn53Hp0iUEAgF4vd7LBkExM6VTAroGCIBkTMBq7ZszDqh/8vv9MiOEWwpYM1crSqUSgO703UKh0FMK0mJxsgDtdrdLioEypznTgegyJdkkGjkyL4lEAs1mE9/61rcwMzODI0eOYH5+HkNDQ4jH4wBWy5ucrsnrwbJZp9NBMplEu93GAw88gE6ng3g8LsnCysoK4vE4arUazpw5g3/8x3/ExYsXcerUKflMXG8bHaVSCY899hhisRjGxsZEHF6tVnvWC687Hb3uXlrrWbduZMn7x7+pVCqymeeZM2eE3ifz4vP5ZIuLQCAgXXcvBq2BYMBrFXTqzwP0zqehk2YSwPNnW/dGT25eDK1WC48//jieeuopGYhJdlMHbtQakbFl0M+yni7d6IRQsyZ8HpkoWQNeAGKbWUK0JsP6nlC7qOdbsbRDG8ZjaXlEq7W6EWgul4Pf7xfxP9ANTq3+CYAkcUBX76ODFa0R0wmdHiuy2XHdAxh25CSTSVy6dAm1Wk3EldQuMELUGhQAsih1ZKsXCL9vt9s9Pf26DEPozNiqg3kxTQr/hoI/ZswUjuoFxcCErIKu31rLYkC3lqqzdy3q1KyTho6erar2jQx+pvn5eREg53I5uFwuCRwIBgy6hgx058PwS19bBhpkSZjRMIDRE3p5PhTYAugZJ64NlWZgGEgz4NQORmsQ2O7N77Vh4bqiEebaZmB8/vx5zM/Pi2aCInTOdeA9p8FjoMTgjuUMvjedOp8dDvuj5iafz9/4m3+dwfvD1mWWk2hX2GpNxks7p7VgZW24/hgE8D6xq8yq3+J9sX4xIHk5n4v/6oRmrddpVoA/046Q+pzNDr0tB3D5pFzeY81m8JppdsZ6Ha3f6/uvf8e/tbKsa+lv9HH13+nkFegyNNaJ7Xx/LSdgUrRWd5o1wNLnwzWr/06DAT/X8lbAdQ9g8vk8SqUSFhcXcfLkSWzfvh2NRgPj4+MYGxtDKBQSTQzLLCzhUBFeKpVEkKjri9Ybxy4LPetBQ2djAC5b7Nb6stX46Y4HZjg0aNqw6fZuOg/26PM86GyYHfDzrEX3cRibziSBVcYnEonIWPnNgE6ng6997Wv4h3/4B0xMTGD79u0YHh5GuVxGKBQSXQaFrfF4vCeDspZsKGYFID+nHiCTyfQEerFYTIbO6fWRy+UAdAMsHZDyZ3ovE94TXYKwir7PnDkjIvZQKIRwOCwt4m63WzrJqtUqstksCoUCnn76aWSzWczPz6NarWLbtm2IxWLYvXs39u7di9HRUQwPD6PZbMpQwFwuB6dzdS8Xn8+HoaEhKV+0Wi2cP38exWJRzs/n88Hn82H37t2YmppCtVrF008/vWmz9Gazibm5ObRaLdkbiYEfgxiWdrTAG+jS7lwvQFc8ns1mUSqVcPHiRWQyGWFitCCfrBsTJ869YicI7drVdsJpe8TghWyYFiZbPz/QdeoM3rTd3Kz3di0wGdGMgrWUwsCSpWWXyyX2mLZEJw60GWRUaGM108EEm8GtvqaaneF76/lAPK+1Ai9+T3/A93C5XJLo680h+T70MWQV+bdMrGi7bDZbDwulRwOUSiVcuHAB09PTWyLQBW5AAKMFcY1GA6lUCouLi/B4PEilUpLxktoCumUCjk6m4dARKv/VC0JvE2ANbrTjX8sQrFUP1ce+Uhalh+wB3VZrrbXhcfX/eU30a3SXE4MnrXnRA7jIOul27M2CQqEg4lMK8ziEzmoYtKECeken6+uk/047Jl5jABJE8ng6WAa6rI/+e30cAD3TMvV95/tqFo4/49pn5xSwGtgvLCygXC4jnU73iJU5RXRgYEAm6UYiERGs6nPVwmCtr9HlRx0803hXq1X52swgw8QtEwBIYMHfM3HRzz/vkdYcaKfFoXPsNLKyc1o/QPaFgQwD2lQqJWXwl/oMOqPWP9Pf63VlXXe0b1xnDG5XVla2TABTLBaxtLQk7KEW1GrGRSeq1mRQl16sNl/bCmtyu9Z9uRIzxvfSrKwuU/E8yNRbGSLr+fOeW7uT9HA+zoYirNob6zlyzTPINQzMS4CLZmFhAd/5zncwMjKCVquFWCyGkZERBAIB7Ny5s2fgHABhHjh7g4xGtVqVn9PJ0ynpTiMNHSzo4GGtBcxF9GIZFClifnGWCYWfDLz0wrNGutpo6qCENXR2belFyP1XNBO1GbGwsIBMJgMAuP322+Va2Ww2GbdP+lh3h+kSIB2JLinpbFoHoPxb1qU5d0dvhMi1RY0T34sC8aGhIbTbbeRyOSklAt1uN854iUajiMVicm9rtRrm5+fFwSwtLeGpp55CqVRCOp3GwMAAfumXfgnbtm2T9+Za1nshVSoVYWloxDweD4aHh+UZqFarOHHiBCqVimR0ZAaTySSazSaeeeYZPP/88ygUCpvawfGaA6t6O4fDgdtuuw0jIyMIBoOig9LZNUX+7XZ31+7l5eWe7hOW87ivDu0Xn03aGrZLk4Fhhp5KpfC1r30Ni4uLSKVSL/oZOLuIGgZrqUEHynRaZKs189fpdCehz8zM4OjRo7hw4cKWyK47nQ5+8IMf4LnnnsOP/diP4eGHH5bkVmvnOPVYJ7KdTke60MjYWstNOuG0Cq6ZFPAaa5YW6MoT+J46qNL/MlDR0MG0Ndkl08K5QwyydVkb6G4doPdVYvcd1w/ZaQCyH10mk0EymRSbtRVwwwIYAGLIM5kMnE6nbDkArJZD4vG4PGzc/I8Lg7VtLWbijdcLQC8qOkONF/teBy/668WgM3IaNisDdKXjraXDobPUC5EPH8snbOG0MlObDaTlychQ0M3P3+n0ip+t9V4rE6czGX099Zrhv1o/wLWix8ProBNAT8DE92SQa6X92+223Dt+Rho+PebfGpwNDw9jcnKyR1vFgKvVaskmmOl0Gvl8XoI3ndVxFhFLTOFwWEpM1HQwgOKwxc0MMjDcRBGAiB+BXj2LLg/wWSJDxbZ13g+2+Ov7wPutgxfeZz3tVG8PMjs7e9k5czo4WR7eY80U0XZZh5lZtVZW5pHDDfP5PBYXF5HNZreMc+I+cclkUsZI6JKJLsFYmRSd0FpLdS9mP3ksHYxoRhbAZevDGrgQ2jZZof2W/p5rV5cw9f3na7XeRSff1tITj8l5ZRyWuVXWyA0NYIBua2o6ncaRI0d62g6PHDmCQCCAoaEhBINBDA0NySRdTjfVGQoNNrURun5YqVR6VOikefXi0aIwoLccRHbjpQSyjIxZkySVzQCDAkAdpQOXU516B2XW7IPBoPyby+UwNzeHTCaD5557DsvLy3jhhReQzWY3RdfIi+H06dP4oz/6Ixw6dAgjIyMy04RUPjMoXVtmSY2OmQ6FynugdxNQOhatX2FGwyyccz2CwaCIYAGIBiaXy2F6ehoOhwPxeFw0WnQcnU6nZ78tYHW4GoOzvr4+MSy7d++WaZgUgrKsai2j0VF+9atfxVe+8hX5XHv37sVDDz2EZrOJc+fOoVqtSuBy4cIFYSkdDoewnFxDZL42OxqNBi5cuNBTfs1mswiFQpicnJQhmhyrwCmlyWQSjUZD2Bu9JnSQyS44lotog8iMer1eyXy9Xq/MKNJlOw273Y73vOc9eP3rX4+vfvWr+NrXviZri+fA9QSgxyHx8zIAY8Cmkzy+//T0NL7//e/L+W8lPPPMM5iensbtt9+Ohx56SJIPzYJxdhLnf3H6tGattOaRv2OZhwGBZjx0ycaanOqkU4v9uSbpe+gLgK72hsdhIGJlZLj2uD6sSZT1Z3qGGBNineBls1kcP34ci4uLePLJJ8X+bQXc8ACGEWy1WpUBPdlsVqj8QCCAarUqAjgAUiIC0BNc6FkAvNl6RouuIeqZDGtFwFdiTF4MjIZJ5fNLZ/E6eLG+lw5gKAZk8KL3RGG9MpvNYnl5GRcuXEAqlUI2m73idM/NBO6yzPKMzi70/BP+n1Q+O8KYedA4WVX3OhsjmJmThmawWalUZCAUoelctmrHYjEAvZOaeZ5smdQZmx6qxuPrHXG5VjkKXa89GrVLly7h2WefRSwWw8DAgMy3qdfrMpNkcXERlUpFhKcMkFiGLBQKyGazm177QnQ6ncuegU6ng0KhIEkPgwmv19vjBHg/eQ80W6OfbW4TYE1udLcRHQVLhLrNl+BzvWPHDtx99914+umnZbsQCo61ZoLQtkjrs/T65hrh+IlcLofl5eUtF7wAq/thZbNZ9PX1SfLGz79Wt5lmR9Zy+JqxsAqDNaurS8qaSbmS39CyAGvlwMraWjWTeu1oe6BlA1ZW2Kq/tDLUZLTL5TKy2SySyaSUTrcKbngAQ9Trddk4jlFjs9mU4XahUAjt9urws0QiIZNWuZcLZ2Yw0uY8Bh3R0jDQ4dG5WVvugF6RLY0DF+uVOgA4jyOTySCbzYrYj5k4jSbFlIziO52OOC+gq+MgHc1MnBqRS5cuoVgsYn5+HqVSCdPT01tCgGkFGbNKpYIXXngBbrcbd9xxh+yZ5HA45DrzYWTwwYnHNptNtirQtLzDsbpRJB92ri1mbgyQWAZgIEFH12634fP5MDU11ZPlUHhMg0Y2UYvrqMMol8sIBAI97b2dTkeGoXE9cIYMjdtXvvIVPP7445ifn4fP58OuXbtw7733YnFxEb/1W78lHSdaG8ZdqFniPHLkiDCEtVptU+5OfLWoVCqo1+s4ffo0ZmZmEAqFEAwGEYvFkEgkJJDhPWi321heXka73ZbrqCl4DWrT+AVApkKXSiUkk0n8/d//PVKplLA7/LsPfvCDuOuuu7B//36EQiG86U1vwujoKOLxOLLZrDA9tD1A78aMuqTK9UpmmVPAf/SjH+HP/uzPkE6nL9NybDWcOXMGf/zHf4zt27fjgQcekF28raVVsq5OpxP5fB61Wk30hfo55HXl88sSMFlgbtLKaeC0LbzOujuJI0CYJDHQov2xsv88T72FjDUg0hUCHQRxjTAQ0WJyANKJNTMzgzNnzmBxcRFnzpzZUtoX4qYFMCwlyRurUf7hcFhoUQpia7UaBgYGZJJvKBSSRaT3ROIN5QLhTdWCpyvdtLVEXTRwOiMnqOLO5XIyQIzZtt5/RQdS/NKLlI6Sr3U4HCiXyzLo7ZlnnhHxZr1e31J17bVQqVQwPT0Nv98vO/Qym+Z90HVfZplawK3r0rzONFhcL9zkLxwOi/Hj8VlT18aN6w7oMn2a7WFgQ/2OZpFKpZLUmnlcGiHdiacDLga8R44cwd/+7d8iFoshEokgGo1icnJS9rmxZlA+nw/RaFRYvE6ng8XFRSwvL9/4m7cBQBaFtDiDW3YpsexDAS6ZL+qM2u12TycToQX2ego2gwpglR04ffr0ZSU6h8OBQ4cO4Y1vfKM41507d6Kvrw/FYlFYaD3IzqrV0poK/lzrAwuFAi5duoQjR45saftAsBRqZSLWsq+6y5WJrLYptCMsA62lYaEcgaJafXxt2xmE6MDTOv/FqnVZi/HX68/qK/TfWgXDDIS0L6MvnZ2dlQnfW6lDjbhpAYwVrVYLmUxGygkulwuRSERmW8RiMezatUvo3mAwiFarJWJfv99/GW0PdIeTMaOmMlvPhNALkGDdlHoLCv6omWg0Gkin0ygWiz01bz4IXOA8thZa8pg6U2BdmwLdfD4vVDSFmYVC4bIZBFsJZ8+exec//3k0m00sLS1haGgI9957LzqdDp566imsrKzINZ2cnJS9ZgDIdWNQwjkKvOY2W3cDNLYYc7dWGjKW/shc6PZaAD3iTzJ/XGc8BgMfHoN0dyAQwPDwcM9mnQxyuXEjg5mnn34amUwGCwsLyOfzmJmZwdDQkGwv8MQTT2B+fh5LS0trZtn1eh3T09M9LB9ZnlsRFIprTRwbCaiNsArvAYg2LRgMIhqNiiCazkmzu1ogvVbwYLPZEA6H0d/fLzagVCpJYM2OtYWFBTidTunCYwbP516zCrQbXq8X3/zmN/F//+//xblz526J4EVjdnYWf/mXf4mBgQEcPnwYoVBIdljnddMCbWpSuDM5kwomOGTAqDMKBAKw2+09DIxuKNFBpG7R5vqhpkkHLfw/dTfU9OntbKyaGQDiw3gc/S+DJF2JAFbFz41GA0tLSxL0pdPpnnPaKli3AEbXskm9UsRaKpWQSCRkYTYaDdEZ0NHQCdDBsIxgnZbLBcKsXi8UPRSKr2EAwtIERZmVSkUU3JVKRRYvHRhpaKt2R2fzzAzI8rDbhKUxlkfYJbFWXX0rYWlpCd/4xjfke4qhHQ4Hjhw5gkwmg2g0Cr/fj8HBwR5j3mw2pb2cmgVS/FwDWgDJ8hMNG42d1rLwXmhDwdfwnusBgtSjdDodyeyLxSJSqRQ8Ho/oZgCIKI+GjsFvo9HAxYsXcf78eZw4cQKpVApOpxPRaBTLy8sS4J89e/aK15EzSAxWoafqstwDdFlfLfLkvxxT4Pf7EQgEEIvFEI1GxQnyuGTMdKfIWgkGj8WglfYB6I6AL5VKSKVSYqOAXtEu0GUBGKRz7T/33HP467/+6xt+LTciMpkMnnjiCRn02Gq1MD4+LrpHqx8AurpKdvYwCNHlGV57JiNcK3p2C9C17XruFNkxsrHax1gDEvqatSbIW8dwaC0PoQMpQr8Ht0TJ5/MoFovSzbgVE+F1C2DWAoORTCYjWoVarYYTJ07gmWeeQTAYRCKRkM4lGhLtrKx1RR1I6A4hOhDSdFqRToOVyWRkcirr7LombZ30qWk/Ho/7LVnrmdQmFAoFlEolnDt3Di+88AJyuZxEy1txwb0YstksvvzlL8Pr9eLixYsy7M7pdOL06dOIRqO4++67cdttt8lAuGg0ih07dvSsAQYdbFllkDI0NCT3WFP2vEdWYwZAHBxb27U4XE/6ZLDr9Xqxfft2+P1+cUKtVguFQgFzc3MolUo4f/48VlZWkEwmUS6XMT09jWKxKHoWrq2rnehqsDbYOAB0hY16Irbb7cbw8DD8fr/sKM0kis81y8O664eM7FrPp9frxYMPPojJyUmMj48DgDzjuvUb6HYTtdtt0SeQ5bmSGPfs2bNYWFjAk08+eb0v16ZDPp/Hk08+Cb/fjxdeeAE+nw+jo6MIBAKyuanWDWnGg3ZBywhYhuFrNHOihbq6VKN3m+bPdJnIKjLWHYtrla2A3hEOVoG/FgHrbWU6ndWZQKVSCTMzM5idncX8/DxmZ2e33HRmjQ1lIZkdA5C6I2uedrsdAwMD2L9/vyxOZjdaV0AdgM/n66kL6s0S9WAjLjJt2LgYc7mcKLh16zIXD6H1FzSU7HJgIGNdtKS5l5eXkUwmcfz4cTzxxBNbdqFdDfL5PP72b//2ir8nrfuqV71KhruFQiFMTEygWCxidna2Z0Cddffr/v5+BAIBYVMIXWtmZsV2TGZUDGBYTmC7KgMYlhMGBwcxODh42b5KpVIJ8/PzSCaT+P73v49MJoMzZ86gWq1KqYLHYna2lg7L4OqhN2ZcCyxNM0DlCAePxyNsn56K7XQ6ZV7MlQIMj8eDBx98EIcPH8bIyAg6nY50gjFBs5atyCZaS5i0E1yPjUYDf/d3f4ennnrq+l6oTYpSqYQjR47I936/H/fddx+GhoZkTIVuhac2xG63yxwgoHcwHZNO3RFK+6DLNFo3qYfMabGu/rIOIGWgYy0ZaV/B1+ngif9qu0YfVy6XkUwmhc1l59FWxoYKYAh2V3A3aHYjAV3FtWY7NHizrTuH6hZnoHfHaO4gq6fd8hikfin6tFJ5VlW5bs3T58fz0M41m83iwoULOHv2LBYXF2/p4OVqQG1Ms9mULoznn38eTz75pOwankgkcO+998puwUDXCLFUR0eiO9S4FnTmTYaP7w30ine1ODcQCMgwNS3oLBQK0l126tQpFAoFpNNp1Ot19Pf3w+FwYGpqSjqv3G43nnrqKZw9e/ayDS8Nri94H7lRa61Wky4ztr8zqCXzwsmu2WwWJ0+eRCaT6ZmpwaCjUqkglUoJ+8bAhG3e7BDTLO/KygpmZmZ65o/QZpFpXlpaWq/LteHRaDQwPT2NdDqNTCaDYDAo14/M2o4dO7Br167LRNFkNTRLB/SOYmDgwARDM2V6vIe2C7o5RLdN62TX2n3ExNrq2/i3TIrZ8n/u3DnkcjkUCgWUy2UZaLiVOw+JDRnAkInhfIt4PC7trmRerJGtnuTKNjZNEeoWStYnmUmtdaPJsjAj1u9p7XjR2hdNGeqIWY8t5zyKZDKJkydPmozqKtHpdPDd734X3/ve93p+rq/14cOHcfjwYUQiERHjcWM3PvB0BtQ8aV0M7yMNms7S+F5AV8fANcE2Tc7u4aCzpaUlHD16VGh/CtA9Hg9GRkYQiUTwmte8BsPDwxgfH0cgEMDFixfxj//4jzfrst6yYLbt9XqFBaGYVmuWaCvY+lytVpFMJvG9733vMttB0TgdSalUEjtERoA6KbZhkz1MpVL4wQ9+8KKOxyQ5V0aj0RCt2NGjR9d8zVvf+lb09/dL95FORrSMgMyYfu65FrhBrGb4qI/SrD6TWaC3Y4rfW5lfazeldTYVxce0UZzs/PTTT+PMmTNiv9h5dCtgQwYwVnBy5fz8PF544QUEg0HMzc3JDrBcUKxr61qnzrJ115CudTLr1m2MehGSUiZ4HN0OTWeoF6oWkC4tLaFcLmNpaQnFYhEXL15EMpk04stXAKsR19+nUil8+9vfxuDgIG6//XbpCgC6wYcWTdIwsMPN7/f3qP55bBoNGhVNMfPYFP1Se1EqlbC0tITZ2Vk4HA68/vWv72GGisWiZNUsKQHAxYsXr+8FM1gTvF8MXrlpYCAQkK7DYDCIYDAoZcdMJoMLFy5gaWnpimUkCnwpLifIwuRyOeRyOdnWwLp9hglSrh1XuoYzMzP4wQ9+gEQigYmJCYTDYYTDYRHq00ZY26QZ7DDxoRaO76NtjB6UyJ9ZmXitidFsvVWjCXQZF2B1bc3Pz8swSwYxLpdLqha3AvNCbIoAhq2yyWQS09PT8nOPxyOircnJSdmOIBgMYmxsTDpYfD6ftCdzciYzLNa/dccJMyYaHz1fg+WoRqMhAY6O5lnbZKmIAr4XXngBS0tLOHHiBJLJpOzvsZW7jNYDly5dwuc//3mMjo7iZ3/2ZzEwMCDD5BicxONxhEIh2UpAz4SIRqOo1+syy6dYLMJuX51sy6yMWiu73S4sHo0b9+k5e/Ysnn/+edlR984778THP/5xDA4OSnfS17/+dUxPT+PRRx/F3NwcLly4IFm+wY0Hhf1kYSKRCOLxOMLhMJaWlpDL5bB9+3aMjIygVCqhXq9jZmYG3/jGN3rKPNZjcmsCzgGincjlcsjn8zIMk2UrBjYmcLnxeP7553Hs2DHccccdeOihhzA+Po4dO3bI5rwaep8zJsftdlvKxWRReH/pOxgMA72MiwZ9CecLWRkYliw1iwOsskzHjx9HJpPBxYsXsbKyIkH28vIyFhYWbql1tCkCGKCrvqaYlkFCJpNBuVyWDgIusFqtJjfW5/PJguEC8Xq9PSPBdUmKAYyOmvkzYDWiZls3jWAul5PWTZaluPcKh9Qx82JNfKtPzlwPcF0Ui0WcOHECCwsL8Pv9cLvd2LNnD2KxmLAjdB56yrF15oIe+w90WTquB9LI2WwWxWIRy8vLMtJ9cnJSNmH0er04c+YMFhYWZAfzZ599FouLi5ibm0MqlRKBqMHNQbvdRj6fR6vVgtfrRS6XE7Emkx2WdjinZ25u7kXnaTSbTVy4cAGtVgt79uzBwMCA2JxUKoV0Oo1qtSoaGOqhOELA2IQbC96LTCaDc+fOoVAoyDiLXC4Hn8+Hffv2yXPP0p9umwa69kFrJqmJse4KrdfKWuJg3f3IYan0KXwPHr9cLmNmZka6VSlGJgNzKwUvAGDrXOUn1uLV9YQWOnHxuFwuGRkei8WEDdHahFgshlgsBr/fj3A4jFAohMHBQZkxQoYFuHwXYwYjBOc7UKeTTCZx5swZeShWVlZkbD1n3bBjanZ21jAvNwEMMrkOgsEgPvKRj2Dv3r3I5XJC73MK8srKCiKRCPr6+hAOh2UIHXUQNHIMPEnrMkD97ne/i6NHj8qgw9e97nV497vfjXQ6jdOnT6NQKGBmZgbZbBbHjh2Ttnwt0DRZ+M2HFlu6XC7cd999mJycFL3KM888I5Nu9eyeFwM1c+973/tw6NAhZLNZlEolzM3NYW5uTrYRmZubw3PPPSesHllggxsPa2cSsOpTxsfH8YlPfAKDg4PyWt77QqGAarUq9l8PxWPiS2aegn4Gu/yXSbN1ThmT64WFBWFiZ2dnZdNZ+ot6vY5Lly7JSBCWoxgsbRX7cbWfY9MwMIT+YFoFTqEm0BVYAqvt2BwHXSqVEI1GZaGxu4iiKToULgS9r4We++D1euHz+aQlO5fLYXFxEZlMBvPz86hUKkin00IRdzodoRyvRD0bXF90Op2evaM6nY7sLE1DxBZL3ZEQiURkcmU0GsWePXvQarUwOzsrbIsOcNmVsri4iGQyiXA4jKmpKTgcDpw/fx7ZbBaLi4uyu3g+n0c6nd4yu8FudmjGo9lsIpVKSUmYk5VfbjcYS0Lz8/MIBoPSHcJ9eeiUcrncFSf5GtxY6KnaGvl8HmfPnkU2m+1pDgC6nYnsTtWaR820kIHXTC2Po0W/eoo7fUkymRQ7kUwmRRCuj61bwG91bDoG5kqwqrpDoZB0F+hFNDo6ih07dkjJSU9o1KwJF5SezcAvrRrXQ8dKpRIuXLhw2Xvy/ABsqSh5M4EsDIdYaSHd+Pg4xsfHsXPnTtx55514/vnn8ed//ufYv38/Pv3pT6NcLuPLX/4yMpmMGD4OJeMeOydOnMDMzAw+/OEP44Mf/CC+/vWv4wtf+IIYJ820mDLRxoV1U8CXmiXzYqD2iuttcHAQAwMDWF5extzcnDgvg40Dh8OBUCh02Qwmp9OJN73pTdizZ49Meg6FQgiHw5exOExq9X5I3NOPPoXT3c+ePYv5+XkpL+opwnoiL8GgaKtjyzIwVwJvMm8uu0ZI/TNCzuVyyGQycLvdstcO6TdmSLlcThwP2RodwOiZL6SafT6fDDNba4GZLGt90el0rrg/EHcv5o7g3AgxFovhwoULqFQqmJubk0012+3uLsaVSgUejwfFYlF2si0UCsjlcrLjscHmwbUELFbozWuB1YAmGAzKNiEGGw/UwljhdDqxvLwsIn9uTryysnLZzJZGo9GzAa/T6UQ8Hu8JYDKZDFZWVkQzxz2LDF4etgwDY4V1LyI9BIhUoN5FmHM5Wq0WLl682DN++UqtjdZpi6x1GmwucE243W7pWMvlcvB4PBgcHJTAV7Nn1umd7EaKx+OIxWLI5/OmRd6gB9TrGeZlcyIcDvc0b+gdsDWsTR9utxvj4+M9nUmXLl1CoVCQCct6XzaDq2dgtmwA81JgxxEXo9frxeTkJDqdjmTdBgYGBgYG1wKXy4Xx8XEZhtrpdKSZw2BtmADmKmDtaGKnkBHWGRgYGBhcD7Aj0toubRiXK8MEMAYGBgYGBgabDlcbwNhf+iUGBgYGBgYGBhsLJoAxMDAwMDAw2HQwAYyBgYGBgYHBpoMJYAwMDAwMDAw2HUwAY2BgYGBgYLDpYAIYAwMDAwMDg00HE8AYGBgYGBgYbDqYAMbAwMDAwMBg08EEMAYGBgYGBgabDiaAMTAwMDAwMNh0MAGMgYGBgYGBwaaDCWAMDAwMDAwMNh1MAGNgYGBgYGCw6WACGAMDAwMDA4NNBxPAGBgYGBgYGGw6mADGwMDAwMDAYNPBBDAGBgYGBgYGmw4mgDEwMDAwMDDYdDABjIGBgYGBgcGmgwlgDAwMDAwMDDYdTABjYGBgYGBgsOlgAhgDAwMDAwODTQcTwBgYGBgYGBhsOpgAxsDAwMDAwGDTwQQwBgYGBgYGBpsOJoAxMDAwMDAw2HQwAYyBgYGBgYHBpoMJYAwMDAwMDAw2HUwAY2BgYGBgYLDpYAIYAwMDAwMDg00HE8AYGBgYGBgYbDqYAMbAwMDAwMBg08EEMAYGBgYGBgabDs71PoEbjeHhYfT19V3283w+j9nZWXQ6HQCA1+vFxMQEAODSpUuoVqs39TwNDAwMDAwMrh5bOoCx2+34yEc+gp/+6Z++7Hd///d/j0996lOoVCoAgKmpKXz+859Hp9PBxz72MRw/fvxmn66BgYGBgYHBVWJLBjA2mw3xeByhUAhTU1PYtWvXZa/ZsWMHJiYmkM1mkUqlYLPZ4HK54HQ6MTw8jFKpdNXvt7KygkwmI2yOwcYF10YgELjsd8ViEdlsFn6/H/F4HHZ7b4W12WwimUyi0WjcrNM1MDDYYIjFYgiFQvI97YYVLpcL/f39cDrXdrOdTgfZbPZl+RqDXtg6V+l1bTbbjT6X6waPx4N//+//Pd74xjdi27ZtGBgYuOw1mUwGFy5cwBNPPIFPf/rTqNfr2LVrF0ZGRvBzP/dzGBsbu+r3+4d/+Ad85jOfQa1Wu54fw+AGgGvjkUceuex3X/nKV/DZz34WP/7jP45f+ZVfgdfr7fn93NwcfumXfgmnT5++WadrYGCwgWC32/Hxj38c73nPe+RntButVqvntbt378Z/+k//CSMjI2seq9Vq4bOf/Sy+8pWv3NBz3oy4WjJgUzIwTqcTwWDwsgyZ8Pl82L9/P+6+++4rHiMejyMej6NcLiORSCCTyWBmZgY2mw27du3C7bffftXnMzs7i0QigUKhgFKpZJiYdcTVro1Xv/rVl/3uhRdeQF9fH8bHx3HXXXfB7/f3/H56ehrDw8NIpVIveR7VahXlcvmVfQiDDQu3241AIHBDE7pWq4VSqXSZQzS48XA4HAgGg3A4HFf8/Z49e3rsB+1Gs9nsee3w8DAOHz4s2korWq0Wtm/fjng8ftnvarUaVlZWruGT3BrYlAzMHXfcgU996lOIxWJr/t5ut+P222/H0NDQSx4rk8ngyJEjUhbw+Xy48847eyjCl8LCwgJeeOEFPPXUU/iP//E/olgsXvXfGlxfXMvamJmZwYkTJzA4OIgDBw5cZsQqlQqeffbZq7q/f/3Xf40//MM/RLvdfmUfxGBD4oEHHsDHP/7xy9i564m5uTn85m/+Ji5evHjD3sNgbUxOTuJXf/VXr8ia2Gw27N27tycood2wutJQKIQ777wTPp9vzWN1Oh2cOHECMzMzl/3uO9/5Dn7nd37nlmX1txQD43A44HK55Pvh4WG8/vWvR39//zUfOx6P46GHHrqmYwwPD2N4eBgOhwOhUAi1Wg2NRsMwMTcB13NtjI+PY3x8/Iq/9/l8eM1rXnNVxzp//jx8Pt9lWXS73TZrY4OAujfN1tXr9Z6g0+l09mgYJiYm8PDDD1/Gzl1PnD17FuFw+IYd36ALu90Ot9st3ycSCTz44IOYmpq66mO8lN24Emw2G/bt24d9+/Zd9rt8Pt/D9Bm7sTY2RQDzwAMP4EMf+pAYksHBwQ35gO/btw+f+9zncPLkSXzuc5+7qlKDwbVho66N17/+9fjv//2/X2Zwzp8/b9bGBkFfXx9+4Rd+QZxVrVbDf/tv/w0//OEP5TU/8RM/gXe9610S5ExMTMDj8azL+Rpcfxw+fBg///M/L4xaNBpdUzN5s3HPPffg937v9yQBMnbjCuhcJQDc8C+bzdax2+2Xff3Lf/kvO41G42pPdd3x1FNPdaampno+w824frfCl3WNbOa1wc9k1sjN/7Lb7Z2pqanOU089JfemXC53/vk//+dyPxwOR+fXfu3XbvoaOXv2bOfQoUPGftyAL6v9eM973tMpFos3/R6/XKxlN7by19ViwzAwLpcL733ve/GqV73qst/dfvvtVxRlbkSMj4/j05/+NAqFAoDVNrsvfvGLOHfu3Dqf2eaGzWbDO97xDjzwwAPys826Ns6fP48vfOELKBaL+OAHP4ixsTH8r//1v/DCCy+s9ylueYyMjODDH/4wpqameqh/l8uFD3zgAz0CzXvvvfemn18ikcAnPvEJybZrtZpZG9cJb3jDG/CWt7xFvt+5c+emYNSsdmN+fn69T2lj4GojHdzgiMvn83X+9E//9BVFpxsdi4uLnQcffHDdo9rN/mW32zuf+9zn1vt2XhecOXOmc8cdd3QGBwc7jz76aKdYLHbe+c53rvs1vhW+7rjjjs7Zs2fXewlcNczauH5fn/70p9f7dl4TaDfW+zre6K+rxboxMOFwGD/5kz8pam+Xy4X9+/ev1+ncUAQCAXzgAx/A/fff3/PzdruN733ve/j+97+/Tme2seH1evGOd7wDO3bsALDKwLxYa/xmQjwex0c+8hEsLS3he9/7Hh577DHcfvvtIugza+PacejQIbzpTW+SbrLp6Wl89atfXeezevlwu91497vfbdbGy4TT6cRb3/pWHDhwQH72ute9bv1O6DqAdmNxcRHAquj8b/7mb3Dq1Kl1PrN1wtVGOrjOEdb4+HjniSeeeEVR6FZBu93ufOpTn1r3aHejfsXj8c7/+T//Z71v0w0F2blQKNT5yle+Ij83a+Pav/7Fv/gXnXq9Ltf029/+dmdgYGDTMTBWmLVxdV8+n6/zJ3/yJ+t9u24oCoXClmTnrhY3jYEZHh7GG97wBmk/jMfjG0LtvZ6w2Wy455578NGPflR+dvr0aXzve9+7JYdYxWIxPPLII4hGowAAv99/xSFQWwV+vx9vf/vbcfDgwZ7WTZvNtqm0PesNm82G++67r2cA5f33399zDUdHR/EzP/MziEQiG6JT7ZXC2I21EQwG8fDDD4tfcblc2L179zqf1Y2F2+3GI488gkQigcceewwnT55c71O6ubjaSAfXGFHdf//9nZmZmU69Xu/U6/VOo9HotNvtVxR1biW0Wi25JvV6vfNHf/RHHa/Xu+4R8Hp87d+/v3P8+PFbbo00m801P+unP/3pdb8nm+XLbrd3fvu3f7vnWWo2mz3Xs91udxqNxqbqWrsSjN24/Gt8fLzz/e9//5a0HysrK52PfOQj634PrtfX1eKGMTCTk5O48847JQPat28fgsFgz9Axg9VBSjpLvNII662IkZER3HXXXbImJiYmEI1Gb7k1civd8+sFl8uFe+65B4ODgwBWn6M9e/a86Nqx2WxX3Fhvs+FWthtEIpHAPffcIzNcEokEBgYGbkn74fF48KpXvQqZTEZ+fubMGTz33HPreGY3HjfsaX7wwQfxX/7Lf5HF5HA4buj4bYPNh8OHD+MP/uAPZNsGu91+xbHbBgYawWAQn/jEJ/CGN7xBfrYZ2mENrh/27NmDz33ucz1B7K3qYxwOBz70oQ/h/e9/v/zsd3/3d/HCCy9s6e1MrnsAMz4+jqmpKezfvx+hUGjLZDw3C4ODg3jggQcwPz+PkydPXrZB2FbA0NAQdu/ejUOHDiESidzQseybGdu3b8eDDz542c/T6fSWXRtXQiAQwP79+yXADYfDGBkZQTAYXOcz2xi4FewG0dfXh9tuuw2HDx9GLBYza+D/wePx9ATxO3bswIMPPoiFhQWcPn16awYyV1trwlXWrj72sY91FhcXO4VC4RXV8251VCqVzvLycud//+//3YlEIutei7wRX+9///s7MzMznVwud0vUqF8pisViZ2lp6bKvrbw2rvS1d+/ezuOPPy7XIJlMdmq12nrfog2DW8Fu8OvNb35z59y5c51sNttptVrrfek3LMrlcmdpaanzu7/7ux2Px7Pu9+3lfF0trhs9Mjw8jP7+fuzYsUMoPYOXD6/XC6/Xi1gstuW6UPr7+zE8PIxdu3ZhaGjIsHMvgWAwuGZ2OTExgdtvv10mPV8J7XYb8/PzPXXxzQqn04m+vr5bvnPxStjKdoOIx+MYGRnBnj17MDAwYJiXl4DP54PP5xN7kUqlMDMzs6U61a6LB7HZbPjQhz6En/3Zn0UsFrsehzTYgnjXu96FT3ziE4hEIiZ4uQYcOnQIf/zHf/yShqjRaODXfu3X8Bd/8Rc36cwMDG4cXv/61+M3fuM3EIvFEAgE1vt0Ng0efPBBfOlLX8J3v/td/OIv/uJLJj6bCdctgOnv78fOnTuvx+EMAImcI5EIgFVntLy8jEajsc5n9vIRi8UQiUQwNTWFnTt3yhbxBq8Mfr8f27dvf8nXNRoNTE1NYdu2bcjlcsjn8zfh7K4vPB4PBgYGMDIycst1l7wclEolpNNpLC0tbTmtQyQSQTQaxdTUFHbt2mWSn5eJUCiEUCiEs2fPbrluNbMSNigOHTqEP/qjP5Ise3p6Gp/85Cc33YaQZOfe//73Y3Bw0AQvNxFOpxM///M/j3e/+934/Oc/jy9+8YvrfUovG7fddht+67d+C+Pj4xgeHl7v09mweOyxx/CZz3wGy8vLKJVK63061xXveMc78K//9b9Gf3//lnPABteGaw5ggsEgfD7fLdu+dqMQDodx6NAhNJtNFItFNJvNTZeBcm3s2rVrzV3GDW4sbDYbtm3bhomJiU3n/N1uN4LBIMbHx3HnnXca7ctLIJ1O45lnnkGr1UIkEkGr1UKxWNzUbEwgEIDX68WOHTvwqle9yiQ/BpfhmgIYl8uFf/Wv/hUefvjhLT+yeb1w7tw5/OZv/iYuXLiAmZmZ9T6dq4ZZGwbXgrvuuguf/OQnMTo6KltLGLw0Dh48iF/+5V/G3Nwc/r//7/9DMplc71N6RbDZbPjpn/5p/ORP/iS2b99ugheDNXFNAYzD4cCBAwd6hkkZXF/k83k89thjuHTp0nqfysuCWRsbA41GA7VabdNopxwOB9xuN8bHx/HQQw/JkEODF4fT6YTf78fQ0BDuvfdenD17dlMP9rPZbNizZw8efvjh9T4Vgw0Mo4ExMNiiaLVa+MIXvoBvf/vbOHr06HqfzlXhgQcewM/+7M9icnLSTGV+Gbjvvvvwh3/4h5ifn8e/+3f/DouLi1uifd7A4MVgAhiD6w673Q6Hw2Fo33VGu93Gk08+iS9/+cuw2Ww9AshOp7Mh9RFTU1N473vfu+n0XuuNiYkJjI2N4Rvf+AZ+/dd/Hdlsdr1P6RXD2A+Dq4UJYAyuK3w+H37mZ34GBw8exF133bXep2Pw//C2t72th45/8skn8aUvfWlLj5y/lfD000/jz/7sz3Du3DmUy+X1Pp1XDKfTiZ/6qZ/CPffcg/vvv3+9T8dgg8MEMAbXFR6PB29/+9vxlre8Zb1PxeD/wWaz4TWveQ0+9rGPyc/+5E/+BH/xF39hApgtgpMnT+L3f//3Ua1W1/tUrglOpxOPPPIIPvCBD6z3qWw5dDqd9T6F6w4TwBgYGGwYPPvss/jMZz6D/fv34x3veAfcbvd6n5KBwabG888/j69//es4efIkKpXKep/OdYUJYAwMDDYMnnnmGTzzzDN4xzvegTe/+c0mgDEwuEYcPXoUn/nMZ7Zc8AKYAGbDY3BwEB/4wAeko6BSqeAb3/gGFhYW1vnMehEIBPCmN70Jk5OTmJiYWO/TMcCqGPJ1r3sd3G436vU6fu/3fk9+98QTT2yoTd0OHTqE++67r+d7E7zcOnC73Xj44YexY8cO7NmzZ71PZ8thK5aPABPAbHhs27YNv/EbvyELcHFxEWfOnNlwAUw0GsXHP/5x3HPPPVt2N9zNBofDgfe9731473vfi1/91V/FL/zCL8jv2u32hupCeuSRR/CZz3xGOk/sdrtZR7cQ/H4/PvrRj+LNb36z2S7A4KphAphNAP1AB4NBvP71r8fAwACeeOIJzM/Pr+OZdcE2XWN8Ng7a7TaeeeYZnDt3DidOnNjQgt1Tp07hq1/9qhkbr1Cr1fD4449jeXn5st/dfvvtuO2223DmzBkcOXJkwzFqrwQOh8Ns1PgK0el05Fm3YiusjSvBrJZNhkgkgk996lPI5XL4uZ/7uQ0TwBhsPLRaLfzP//k/8cUvfnHDT+L9+7//e3zzm9/EBz/4QRw8eNDMgcHqFO7f+q3fwmOPPdbzc5vNhl/7tV/Dbbfdhm984xv45V/+ZdTr9Q1/jw1uHFqtFr74xS/if/yP/7Hm77bq2jABzCaDzWaD1+tFOBzGnXfeuebMh5mZGZw9e3Ydzs5gI8Fms2HHjh2455575GcbdW00Gg00Gg3U6/X1PpV1R6VSwfPPP4+lpSUMDw/33D+iWq3i29/+No4fP46VlZUNVQ58OfB4PDhw4ABGR0fR19e33qez6dBqtXD8+HEsLCzgwoULm3oG0CuBCWA2KXw+H/7tv/23PboG4vd+7/fw67/+61tWuGVwdXA6nfjoRz+KD37wg/IzszY2PhYXF/HJT34SS0tL+O3f/m3cfffdPb/vdDr4r//1v+K97/3/27vzqKbO/H/g7yRgWA37IqC4VHFBXOtY+dpaz9S2Y53TunSKOlOPx6nV6riMx6lLO622c+o+nZ46U3umitat2lp3Z6a4oEUoLuCCbAkRwiIQCIRAlpvn9wfl/oqARki4ucnndc7zRxZuPuQ+ufdzn/ssr6OxsVG0yQsABAUF4aOPPsKYMWNo3atOaGxsxLZt23Dy5Eno9Xqhw+l2lMCIlEQiQc+ePdt9zdfXFxKJhE5SBH5+fvDz8+Mf9+3bFyNHjuRPenV1dVCr1S57j9wZVVZWQqPRdPj7LC4uhkajgVarhUajQURERKvXGWMoKytDVVVVd4TrUDKZDAEBAdT6YiOTyQSlUskPiW5oaIBarXaJutAZlMAQ4kamTZuGxMRE/uR54cIFLFu2DPX19QJH5j7OnDmDDRs2dNhyYjabUVFRAY7j8N5777W7qCUt1OieysrKsGLFCuTm5gJo7qjfXidvd0EJjAtSKBTo168fdDodKisrhQ6HOBGFQgGFQgG9Xk91QyA6nQ4qlcqmVi9nmy6BCMNkMqGiogJKpRIqlQpKpVLokJwCJTAuaNq0aRgzZgxOnDiBjRs3UsdI0saFCxewceNGVFZWul3HP0LEprCwEKtWrYJKpYJarRY6HKdBCYwLCgsLQ1hYGG7dutVt82lwHIfa2lpUV1fD39+fZlF1cgaDASUlJTAajQgMDITFYkFdXZ2oO4QSIlYGg+GRFxIajQbZ2dkoLi7uxqicHyUwxC60Wi3Wrl2LqKgorFmzpt2hn8R5TJw4Efv27eMTlrt37+KDDz5w286AhAjp8OHDSE5O7vD1+vp6uuXbDkpgXJiHhwd8fX0BNM/q6UhGoxHXrl1DYWEh3nrrLYd+Fum6iIiIVqNb/Pz8EBAQgIaGBjQ1NQk+go3jOBiNRkilUsjlcpqZl7g0lUqF8+fPCx2G6NBiIy7smWeewa5du7BixQr4+PgIHQ5xYgMGDMD27dvx8ccfIyoqSuhwcP36dbz99tv429/+Bp1OJ3Q4hBAnRAmMC+vTpw9ee+01JCYmduvU7BzHwWKxCH4VT2wXFBSEqVOn4sUXX+xwfqHuYLVaYbFYcP/+fXz33Xe4cOECmpqaBIvHESQSCTw8PGixSjTPacNxHDiOo+MFeWL0CyJ2ZTAY8K9//QsrV67ETz/9JHQ4RGTS0tKwfPlyfPnlly6XuLR49tlnsWPHDvzhD39w+zWfamtrsW3bNqxevRp37twROhwiMtQHhtiVyWTCqVOn4OXlhdGjR+Ppp58WOiQiIvfu3cO9e/eEDsOh4uPjER8fD4VCgYMHD7rsQnu2aGhowNGjRxEQEIDnnnsOw4YNEzokIiKUwBCHMJvN+O6776BUKjFlyhSMHz9e6JCICBUVFWHTpk38OjkKhQKzZs1CdHS0wJERe2pqasL+/ftx48YNTJs2DQkJCUKHRESAEhjiEBzH4dixYzh+/DgUCgUlMKRT7t+/j+3bt/OPe/fujcTEREpgXExTUxMOHDgALy8vxMbGUgJDbEIJjAu7d+8eUlJSkJ2d3e2z8cpkMjz//PMYPHgwRowY0a2fTVxXfX09Dh8+jKysLEyZMgW9e/cWOiRiB3K5HC+88AIGDBiAuLg4ocPpduPGjcOSJUuQlZWF1NRU6tBsI0pgXFhmZiZWrVqFpqambp9h1cPDA0lJSZg7dy6NtiB2U1NTg+3btyM4OBh9+vShBMZFeHt7Y8GCBXj55Zfd8njx0ksvYcqUKfjss89w5coVWh3eRpTAuJDs7Gzk5OTwj3/88UeYTKZuTV48PT0xfvx49OnTB/3794dMJuu2zyZd17NnT7z00ksYMGAArly5gurqaqFDasXHxwcTJkxA7969ER4eLnQ4nZKfn48bN24gLS2NTlS/IJPJ3PZ4IZFIIJPJEBcXh1mzZkGlUuGnn36i+vEYlMC4CMYYjhw5gi1btvDPtczH0p18fHywbNkyvPjii7QekghFRkZi48aNKC0tRVJSktMlMEFBQVi/fj3GjBkDuVwudDid8r///Q+rV6+G0WikhVZJK5MnT8bEiRP526SNjY1Ch+TUKIEROcYYcnJyUFJSgry8PMEqvFwuR0JCAqKiohAVFQVvb29B4iBdI5FI4OXlBS8vL6e6Gvb19UVCQgL69u2LsLAwUdcvi8UCg8FAV9dofdwICQkROhzBeXh4wMPDgy7+bEQJjMhZLBZ88cUX2Lt37yNXM3W0oKAgbNiwAWPHjoWfn59gcRDXFBMTgx07duCpp56i+uVC6LhBuoISGJGTSCQICQlB3759odFoUF5eLkgcMpkMCoUCgYGBgnw+cQ0hISHo3bs3dDodVCoVfHx80K9fPwwePBgREREICAgQOsROKy0tRVlZGYqLi2mUyc/ouNG+oKAgjBo1ip+NuqGhAUqlkm45PoQSGJHz8PDA22+/jdmzZ2Pz5s3YuXOn0CER0mmTJ0/Gxo0bkZKSghUrVmDIkCH47LPPEBUVhbCwMKHD65JDhw7h008/RV1dXbePCiTiMmHCBOzfv5+vJ7du3cKiRYtQUlIicGTOhRIYFxAcHIygoCAoFAqhQyGkS6xWK8xmM98/xMvLCzExMYiIiBA4ss6rrKyETqeDUqlEUVGR0OEQEfDz82t1S02v1/OjOsvKyqgl5meUwBBCnMYPP/yAnJwc6PV6lxiBwXEcdu3ahUOHDqGiokLocIhI9e/fH//85z9RUFCAlStXIi8vT+iQnAIlMCLBcRx0Ol2Hw6IZY2hoaOjmqIhYNTU1ob6+vsO+GFVVVYJc5Wm1Wmi1WsjlcgQHByMwMFBUE5sxxqDT6fjvzmKxID8/H9nZ2QJHRsTM29sbcXFxkMvliIqKQm1tLYDm+lZXVwej0ShsgAKhBEYkSktL8d5770GlUnX4HqVS2Y0RETG7dOkStmzZ0mGSYjQaBb3KGzt2LNasWYPIyEhRddzV6XT48MMPcf36dQDNJ5iCggKBoyKuIiIiAps3b4ZerwcANDY24qOPPsLly5cFjkwYlMA4OavViqamJlRVVSEjIwN3794VOiQiYmazGUajEWq1GpcuXXKaKzdPT0/I5XI+vpCQECQmJvKrUIuF2WzGzZs3cfHixU5vQyKRwNvb26aWJ5PJRP0h3Ii3tzdGjx7NP9br9YiJiWnVX8ZoNMJsNgsRXrejBMbJKZVKbNmyBSqVinqgky47e/YskpOTUVRU5FQHualTpyIpKQkpKSn44osvhA5HUOHh4Vi1ahX69Onz2PeePHkSe/bsoWHZbsrb2xtLly7F9OnTATS3+B08eBBHjx4VOLLuQQmMk9NqtThz5gzu378vdCiPxBiD2WyGxWKBTCaDRCIROiTSjry8PHz77bdON4x3wIABmDZtGqqrq0XV58UeWtbBafnNBAQE4Ne//jXi4+Mf+7cajQYHDhyAxWIR5cy+dNzoGplMhl/96letnsvOzsbx48f5x1arVZR1wxaUwBC7qK2txdatWxEbG4v58+dj2LBhQodEROS///0vdDod7t2757IH244MGjQICxYsgK+vLwBAoVAgKirKpr+dNGkS/vGPfyAtLQ379u1zqlY1W9Bxw/5eeeUVREdH861y6enpoqwbtqAEhthFQ0MDjh07xl890oHIeTnjVe7Nmzdx8+bNVs+J9bbIk7YgxcTE4M0330RQUNATf1Z8fDzi4+Ph7e2NgwcPiu4kRccN+xs7dizGjh3LP/b19RVl3bAFJTCEuJHExER8+OGH/C2kvLw8fPPNN/yU5c7i7t272LBhAwYNGoTf/e53olknx9fXF2+++SYSExNx9OhR3L59u8P3Dh8+HK+++ioGDhzY5cUpR4wYgffffx85OTk4fPiwS8yhQ+zDlesGJTCEuJFx48Zh3Lhx/OPTp0/j+PHjTpfA5OXlYcuWLZg4cSKmTp0qmgTGx8cHc+bMgV6vx507dx6ZwAwdOhSrV6+2y8raw4YNw7Bhw3Du3DkcP37cpU5SpGtcuW50KYGxWCw4d+4ctFotJk6ciJEjR9orLvKziIgIzJ8/H0qlEidPnkR1dbXQIT2S0WjEsWPHoFQqMXnyZAwePFjokIiIlZSUYNeuXejbty+mTp0qmjlhHnUbKSEhAc8++yzGjBkDDw/7XkP26dMHCxcuhEqlwqlTp1BfX2/X7TsKHTdIpzAbAWi3SCQS5uHhwbZv327rpsgT4jiO5eTksKFDh3a4H5ypSCQS5uPjw/bu3Sv0V0ce49SpU0yhUAheZx5VpFIpGz58OMvLyxP667JZQ0MDmzFjRrv/zzvvvMOMRiOzWq0O+WyO41haWhqLiYkRfN/RccN5nD17lgUGBgq+n20ptupy+s8YA8dxyMzMxP79+zFkyBCMGDGiq5slvyCVSiGVSp2y82V7GGOwWq2i7YRJnIvVanW6Yd8dMRqNuHz5Mu7fv9/h1AcPD5u2p7KyMly5cgU5OTkwGAx2374j0XHDsSIjIzFz5kyo1WqkpqaKrn60xy7tl4wxHDp0CEePHsWf//xnJCQkiOZkSwgh9lJfX48tW7bgwoULgsyQe/v2bSxduhTV1dU0Qy9pZdiwYfj000+RkZGB2bNnUwLzSxaLhS+EcByH7OxsnDt3DnFxcTbNKkocr6ioCLm5ufzja9euieI3W19fj9TUVJSWlmLEiBFQKBRCh9QuxhiMRqNgnaJblh4Ra/JCxw3HkUqlkMvlkMvlLtPA4F5TXpJuYzabsXPnTsyZMwenT58WOhzys5MnT2LOnDlISkpCUlISNm3aJIorsZKSEqxYsQJLly5FYWGh0OEQB6HjBnkSdh9GXVpaioyMDD7DCwwMRP/+/d1uenB78/LyQnx8PDw8PFBQUMCvRurMGhoaYDAYkJubi4yMDPTq1QvR0dFCh+XWjEYjtFqtaPqUtOA4DjqdDrW1taJoMSKd19DQgMbGRqcb2k+cj92zimPHjmHmzJl82bx5syiu8Jxdr169sG3bNnz55ZeIi4sTOhybMcawZ88ezJw5E19//TV10COEEGIXdm+BqaurQ11dHf9YpVIhLy8PoaGh6NWrF2Qymb0/0i14eHggIiICQHNrjJjU1taitrYWSqUSeXl5CAgIQHh4uNBhuZWqqipotVpUVlZSEukAZrMZpaWlKCsrc6mJwoTCGMODBw+Ql5eHoKAghISECB0ScUIOv6+Tnp6OuXPnYv369aipqXH0xxEn9u2332LGjBnYuXMn3QboRowx7Nu3D9OnT8eePXsogXGAiooKrFq1CvPmzcOtW7eEDkf0GGPYvXs3pk+fjn379gkdDnFSDl9KoL6+Hnfv3kVISAidtLqA4zjU1NTgwYMHol2Uq6qqClVVVYiPj0dZWRn8/f2hUChcpke8ven1euj1evj6+sLf379L26qoqHjktPZiwXEcqqurUV5e3up5iUQCf39/+Pj4CBKXyWRCfn4+7t271+a1nj17wsfHB/X19WhoaHDI5zc1NUGn04myf1NHysvLUV5ejsLCQpSVlcHX1xc9e/YUOizRMplMqK2tRXV1tcus+E5rIYlEaWkp1q1bh9zcXOTk5AgdTpekpKTgjTfewMSJE7Fu3TrBTjrO7sCBA0hOTsasWbOwePFi6giP5iT43XffbZPQSaVSLFmyBDNmzBAosvbJZDLMnz8fr776Kv79739j9+7dDvmcS5cuYdOmTSgvL3dYkiSUY8eO4ebNm3jllVewYsUKuy+/4C5u3ryJv/71rygtLUVVVZXQ4dhFt9UEi8UCvV7Pr80hkUjg4+NDB+UOcByHxsZGvrm/srISmZmZuHv3rsCRdV1FRQUqKioQGhrqMlcC9tQyj4darUZWVhYSExMBNP+G2utf0d5vqbGxkW/xbJmbxBUYjUZkZWW1eV4qleI3v/lNq7V/PD09Hd5fzGq1wmAwQK/Xt2n58Pb2hpeXF4YMGYL/+7//Q2pqKvz9/e0ak9lsRlNTE9RqNa5cueKSI3dKSkpQUlKCfv36oa6uDt7e3nZZANPd1NTU4OrVqy7VlaPbEpjc3FwsWbKE//GGhoZi1apVeOqpp7orBFHJzs7Gtm3b+OHSer0excXFAkdFHI3jOOzevRvnzp3DyJEjkZyczE9DkJqais8//7zNJGWRkZH4y1/+gt69ewNoTl527NiBjIwM/j2ucPvoUaxWK/bu3Yu0tDT+uSlTpmDBggUOHTigVqvxySefQKlUQq1W88/L5XK88847mDBhAoYPHw4AeO211zBkyBD069fPbhduZ8+exVdffYX79++LdvI6W128eBHz5s3D+PHj8ac//YmSGNJ9CUx1dTXOnj3LP46JicHvf/97xMbGtnmvTCZz+5aZBw8e4NSpUy6VLT/MarXCZDLxfXokEonbNw8zxpCdnY3Tp09j9OjRePnllyGRSGA2m6FSqXD8+PE2V9kDBgzAggULEBkZCQAwGAxIS0vDiRMnhPgXBHP79u1WiVp4eDisVqtDE5ja2lqcO3cORUVFrZ6XyWR4+umn8dvf/pZ/Li4uzm5TIHAcB6vViry8PHz//fcu0+/lUdRqNZ8kLliwAJ6enm5/vLCF1WoFx3Gi7Tv5KILtfa1Wi82bNyM0NLTV81KpFK+//jomT54sUGSku2RlZWHFihXw9PQEAERHR2PRokUICwsTODLhyGQyJCUlYdSoUSguLsaiRYv41woKCto9CFVWVmLDhg0ICgoC0Hxbob3bLMR1nDhxAqdOncLt27fdblRZy3Fj6NChWLhwIXXsfYyMjAwkJydDqVS6XP8om9etRjctoy2VStmOHTscttS8M7NarXw5c+aMaJY+t1cZNmwYy83NbfU9PFzcydq1awXfJ2Iuf/zjH5nRaHRofbp+/TqLjY1t89l+fn7sm2++sUMtaIvjOPbuu+8K/v0KXRITE1lpaanbHh9sYbVaWXJyMvPy8hJ8fz1JsZXTtb8xxnDy5EmUl5dj0qRJeOGFF4QOqVtcvnwZp0+f5q+mlEql202IVV5ejq1bt/ItCQ+TSCSYOnUqnnnmmW6OjIhRRkYG1q1b1+EtpMDAQCQlJdl1eQtfX1+88cYbGDx4MOLj4+22XaD5VsD333+P9PR0XLx40a7bFiO1Wo2PP/4Yfn5+AICAgADMnj2bliv5Wcs55datW647hYmtmQ4EyMLWrl3biZxTnLZv386kUqngma8zF6lUyv7+978Lvau6DbXAOLbExsayzMzMLu2jh1tgQkND2Q8//GCnGtCayWRib731luDfm7OW3r17s/T0dId892Ik5nOKrZyuBeaXrl69iq1btyIhIQHPP/+8S3bsvXz5MtLT03Hp0iW3u5f9pBhjSElJeWRntJiYGEydOlW0c8tYrVakpKQgKysLV69eFToc0oHi4mKcOHECBQUFrZZO6YqKigqcOHECOp2u3dc5jqO+TY9QV1eHr7/+GqmpqR2+Z9y4cfy0BK7Krc4ptmY6ECALk0gkTCqVsoULFzKTyfTkKagIrFu3jkmlUiaRSATPesVQWupER2XSpEmsoqJC6N3aaSaTiS1cuJDqRDeUrrTApKSksLCwsDb7qCstMJmZmaxfv36PrN9Cf2fOXh53fFi3bl2n9o2YuMI5xVZO3QLDGANjDLm5udi3b1+bIXOBgYF47rnn+HugYsEYQ3p6OvLy8pCdne0WQyDtpaVOdKSsrAyHDx9GbGysqOqGxWLBlStXoFQqkZubS3XCSanVavz444/Izs5uNdGkvVitVtr3XfC440N2djaSk5MxcOBAjBs3zmWWMXHbc4qtmQ4EzMZkMhmTy+VtypgxY1hhYeGTJKdOwWw2s8WLFzO5XM5kMpng2a4rFYlEwnr06CG6ulFfX89ef/11qhPdWDrTAnPkyBEWFBTEPD09291mV1tg2hvRRMV+peVcsnjxYmY2mzu1n5yRq51TbOXULTAtOI5rd8r5qqoqnD9/Hmq1GqNGjYJCoRAguo4ZDAZcu3YNJpMJI0eOhEKhQFZWFkpKSlBYWOgy07s7E8YYTCYTXzdaFtfr0aMHRowYgZCQEEHj0+l0uH79epsRZo2NjSguLqY60Y0MBgMuX76MiooKAM1z8AwfPpyfEBBonnsnLy+Pf5yZmYmGhoYO+2GZTCakp6fDbDYjISEBERERHX5+aWkpbt26xR/b8vPzYTAY7PGvkQ60nEsKCwtx+vTpNq36/v7+GD16tNP2oWs5p/xyyQyguQXXLc8ptmY6cIKs7OEik8lYz5492fDhw9mNGzc6kbc6VmFhIUtMTGQDBw5kqamprL6+ns2dO5cFBASwHj16CP79uXJpqRsBAQEsICCA9e/fn50/f17oKsFu3LjBhg8fzsfVUhQKRYdX9VQcU6RSKfP39+f3QWRkJDt69Gir/fXJJ5+wwMBA/j2+vr6P3KZEImF+fn6sV69e7NixY4+sC0eOHGGRkZH8tv39/amfSzeVHj16tPkNBgQEsMTERKZSqRx4BOialnNKe7G70jnFVqJogekIx3Goq6vDgwcPcOPGDZsWMgsPD0ffvn1t/gyr1YqCggJotdo2r0VERLRaCkGn0yE/P58fc19cXIzy8nJotVpkZ2fDZDLh/v37qK2ttfnzSee01I0W7Ocp+ttbSC86OrrV3BHV1dUoLCyEn58fBg4caNN05SqVChUVFfy2ysvL20wvDwA5OTl48OAB1QEnYLVaW13JNjY24s6dO+jVqxeA5jqTn5//RMt5MMag1+thsVhw584dhIeH8689XDfu3LkDrVbrflfNTsBkMrW7dlR5eTkyMzNRXl7e6nmpVIr+/fsjODjYIfG0LFj5OC3nFDp+NJMwZlsvNGfu7CSTyRAcHIwePXo89r1z587Fhg0bbF4fpbGxEcuXL8epU6favDZv3jy8//77/LZSU1OxaNEivnJZLBZUV1eD4zgEBwfD09MTWq3WJVeMdXZSqRRBQUHtJjDLli3DypUr+ccnT57E8uXLMXr0aHz++ecdTqzXguM4rF+/Hnv37sXKlSuxbNkyfPXVV/jggw/a3Po0mUx8nSDORSKRIDAwsNXtg7q6uk4Nk25vWw/Xjfr6etTU1Lj+UFcR8fT0RHBwcJuLFi8vL2zduhXTpk1zyOdu3boVO3bseOz7Ws4prriu0S/Z+psQdQtMC47j8ODBA5veW1RUhJycHH79nRZyuRxRUVEAAI1Gw18VGQwGFBUVtZsdq1Qq5Obm8glMfn4+SkpK2s2OKysrn+RfInZmtVpRVVXV7muFhYW4d+8en6QXFBRAo9EgJCQEubm5j01gzGYzX0daRhEplUoUFxe7z2gAF8AYg1arbbe11R7borrh/Mxmc5vWF6A5gSksLERubu4Tb9PT0xNRUVGQy+UAmutGWVkZ3/rHGENhYaFNLTCkNZdogXkSgYGBCA8PbzMp3uDBg/kMeNmyZcjJyQHQfOLTaDRtOk21ty29Xg+NRkNX1yITEhKCkJAQfj/qdDqUlpbC29sb0dHRj72FZLVaUVFRgZqaGoSGhiI0NBRarbbdAyFxX1Q3xEsikaBXr16dGigSHR2NHTt2YPDgwQCaW/XXrFmD//znPwD+/8VVRxdY7sitWmCeRE1NTbv3tKVSKTQaDT/vzN27dzu9LSIuHR08DAZDqxEotqisrKTWNtIuqhvixRiDRqOBRqN54r/V6/UoLi7mk5/GxkYUFBTYdI4hj+Z2LTAd8fX1xaBBgwAAubm5rrfsOCGEkG4nl8sRFxcHX19fAM1dHgoKClBdXS1wZM7L1hYYSmAIIYQQ4jRsTWBcb3VEQgghhLg8SmAIIYQQIjqUwBBCCCFEdCiBIYQQQojoUAJDCCGEENGhBIYQQgghokMJDCGEEEJEhxIYQgghhIgOJTCEEEIIER1KYAghhBAiOpTAEEIIIUR0KIEhhBBCiOhQAkMIIYQQ0aEEhhBCCCGiQwkMIYQQQkTHw9Y3MsYcGQchhBBCiM2oBYYQQgghokMJDCGEEEJEhxIYQgghhIgOJTCEEEIIER1KYAghhBAiOpTAEEIIIUR0KIEhhBBCiOhQAkMIIYQQ0aEEhhBCCCGi8/8Am19nWiUpbVgAAAAASUVORK5CYII=\n",
-                        "text/plain": [
-                            "<Figure size 600x300 with 1 Axes>"
-                        ]
-                    },
-                    "metadata": {},
-                    "output_type": "display_data"
-                }
-            ],
-            "source": [
-                "check_data = first(train_loader)\n",
-                "print(f\"Batch shape: {check_data['image'].shape}\")\n",
-                "image_visualisation = torch.cat(\n",
-                "    (\n",
-                "        torch.cat(\n",
-                "            [\n",
-                "                check_data[\"image\"][0, 0],\n",
-                "                check_data[\"image\"][1, 0],\n",
-                "                check_data[\"image\"][2, 0],\n",
-                "                check_data[\"image\"][3, 0],\n",
-                "            ],\n",
-                "            dim=1,\n",
-                "        ),\n",
-                "        torch.cat(\n",
-                "            [check_data[\"mask\"][0, 0], check_data[\"mask\"][1, 0], check_data[\"mask\"][2, 0], check_data[\"mask\"][3, 0]],\n",
-                "            dim=1,\n",
-                "        ),\n",
-                "    ),\n",
-                "    dim=0,\n",
-                ")\n",
-                "plt.figure(figsize=(6, 3))\n",
-                "plt.imshow(image_visualisation, vmin=0, vmax=1, cmap=\"gray\")\n",
-                "plt.axis(\"off\")\n",
-                "plt.tight_layout()\n",
-                "plt.show()"
-            ]
-        },
-        {
-            "cell_type": "markdown",
-            "id": "de29d929-bc99-4235-aea6-d6867c3d360c",
-            "metadata": {},
-            "source": [
-                "## Train the Diffusion model\n",
-                "In general, a ControlNet can be trained in combination with a pre-trained, frozen diffusion model. In this case we will quickly train the diffusion model first."
-            ]
-        },
-        {
-            "cell_type": "markdown",
-            "id": "08428bc6",
-            "metadata": {},
-            "source": [
-                "### Define network, scheduler, optimizer, and inferer"
-            ]
-        },
-        {
-            "cell_type": "code",
-            "execution_count": 10,
-            "id": "bee5913e",
-            "metadata": {
-                "lines_to_next_cell": 2,
-                "tags": []
-            },
-            "outputs": [],
-            "source": [
-                "device = torch.device(\"cuda\")\n",
-                "\n",
-                "model = DiffusionModelUNet(\n",
-                "    spatial_dims=2,\n",
-                "    in_channels=1,\n",
-                "    out_channels=1,\n",
-                "    num_channels=(128, 256, 256),\n",
-                "    attention_levels=(False, True, True),\n",
-                "    num_res_blocks=1,\n",
-                "    num_head_channels=256,\n",
-                ")\n",
-                "model.to(device)\n",
-                "\n",
-                "scheduler = DDPMScheduler(num_train_timesteps=1000)\n",
-                "\n",
-                "optimizer = torch.optim.Adam(params=model.parameters(), lr=2.5e-5)\n",
-                "\n",
-                "inferer = DiffusionInferer(scheduler)"
-            ]
-        },
-        {
-            "cell_type": "markdown",
-            "id": "f815ff34",
-            "metadata": {},
-            "source": [
-                "### Run training\n"
-            ]
-        },
-        {
-            "cell_type": "code",
-            "execution_count": 11,
-            "id": "9a4fc901",
-            "metadata": {
-                "tags": []
-            },
-            "outputs": [
-                {
-                    "name": "stderr",
-                    "output_type": "stream",
-                    "text": [
-                        "Epoch 0: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 6/6 [00:03<00:00,  1.73it/s, loss=0.987]\n",
-                        "Epoch 1: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 6/6 [00:02<00:00,  2.44it/s, loss=0.946]\n",
-                        "Epoch 2: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 6/6 [00:02<00:00,  2.41it/s, loss=0.893]\n",
-                        "Epoch 3: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 6/6 [00:02<00:00,  2.38it/s, loss=0.836]\n",
-                        "Epoch 4: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 6/6 [00:02<00:00,  2.43it/s, loss=0.78]\n",
-                        "Epoch 5: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 6/6 [00:02<00:00,  2.33it/s, loss=0.723]\n",
-                        "Epoch 6: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 6/6 [00:02<00:00,  2.34it/s, loss=0.673]\n",
-                        "Epoch 7: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 6/6 [00:02<00:00,  2.43it/s, loss=0.617]\n",
-                        "Epoch 8: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 6/6 [00:02<00:00,  2.34it/s, loss=0.567]\n",
-                        "Epoch 9: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 6/6 [00:02<00:00,  2.41it/s, loss=0.52]\n",
-                        "Epoch 10: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 6/6 [00:02<00:00,  2.32it/s, loss=0.478]\n",
-                        "Epoch 11: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 6/6 [00:02<00:00,  2.41it/s, loss=0.434]\n",
-                        "Epoch 12: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 6/6 [00:02<00:00,  2.41it/s, loss=0.389]\n",
-                        "Epoch 13: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 6/6 [00:02<00:00,  2.40it/s, loss=0.357]\n",
-                        "Epoch 14: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 6/6 [00:02<00:00,  2.38it/s, loss=0.321]\n",
-                        "Epoch 15: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 6/6 [00:02<00:00,  2.31it/s, loss=0.284]\n",
-                        "Epoch 16: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 6/6 [00:02<00:00,  2.39it/s, loss=0.252]\n",
-                        "Epoch 17: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 6/6 [00:02<00:00,  2.40it/s, loss=0.227]\n",
-                        "Epoch 18: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 6/6 [00:02<00:00,  2.39it/s, loss=0.205]\n",
-                        "Epoch 19: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 6/6 [00:02<00:00,  2.38it/s, loss=0.197]\n",
-                        "Epoch 20: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 6/6 [00:02<00:00,  2.31it/s, loss=0.167]\n",
-                        "Epoch 21: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 6/6 [00:02<00:00,  2.38it/s, loss=0.152]\n",
-                        "Epoch 22: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 6/6 [00:02<00:00,  2.38it/s, loss=0.137]\n",
-                        "Epoch 23: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 6/6 [00:02<00:00,  2.31it/s, loss=0.123]\n",
-                        "Epoch 24: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 6/6 [00:02<00:00,  2.37it/s, loss=0.112]\n",
-                        "100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 1000/1000 [00:09<00:00, 101.87it/s]\n"
-                    ]
-                },
-                {
-                    "data": {
-                        "image/png": 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bTExMlDzWGJRKJSViHo8Hg4ODsNvtsFgs5JHlcjlMJhNisRiVU9LpNPx+P+LxOPh8Pud919bWIpVKcbozrItVeGLV1taiubkZ77zzTlF8JxQKl712BovFgj179kChUKz4s8CHaNt9/OMfx/bt23H06FGcOXMGCwsLRS5bp9PB6XTScVBWVga73Y6FhQVMT0+TkWWzWQSDQaRSKSgUCuolsz4viwlZbOT1eosSjYqKCqRSKYoba2pqYDAY4PF4sLCwALvdjqqqKo4XuOGGG7Bu3TpcvHgRk5OTGBwcXPa9m81muFwuWCwWnDhxoqg0UlFRAYvFApVKBZFIhP7+fqqT8vn8FT+4yspKOBwOrF+/HjabDddffz0SiQQeeughjI6O4rbbbsN9992HF154Aa+88grEYjEeffRRAMA777yD+fl5eqDz4+fy8nKo1WqUlZXR9zOZDHm9QhiNRjzxxBOw2+147733MDw8jOPHjyMWi0Gv1+NP/uRPcOXKlSJiiUqlQl1dHbq7uynu3LFjB6RSKY4cObLsewc+hCdkBAO9Xo/NmzcjEAjA7XZzEo0bbrgBW7ZswVNPPYXp6WlUVVWhrq4Oly5dopukVqshkUjoovONWSqVclpwAoEAQqGwyAA1Gg0eeeQRuN1u/PSnP0Umk8E111yD6upqHDp0COPj41i3bh127NiBjo4OMkKZTAabzYaXX36ZjGW5OqhUKoVWq4XRaCxZm4tEIggGg/B6vUin05xS0EonxsaNG/HVr36VykIikQiZTAY+n4+uTaFQoK2tDcePHwcAqoMyggSwmCAUtufKysogFAoxPT0NpVKJRx55BE6nE0eOHCnqfGzYsIF+PpFIoKysDFKpFFeuXEEsFoPZbMbevXvB4/E4RlheXg6XywWz2YyRkRH6PDs6On7/x7Fer6dM0ePxIJlMkhEV1t/ef/99+Hw+zM/PQyAQoKKiAhs2bKAiaSgUwtTUFCdozkdjYyMGBgaoFLF582bU1tbi8OHD6O/vpxaZRCLBK6+8Ap/PR8fPm2++CbPZTKUij8eD559/nnONb775JgYGBjhdHavVSkF+Pnbt2gWn04lwOFyUZTNUV1dDpVJhfn6esuLCB0YulxONLB9erxcHDx6EXq9HRUUFIpEIOjs7MT8/T1n2zMwMnnzySc71Pvvss5SwsMIz+5xqamqg1+vhdDrptEmn03jllVeQTqdRVlaGmZkZOpIDgQAuXLiACxcuUPfnnXfeweDgID1EQqEQfD4fGo2Gc/3j4+OYnp6GRqNBMpmEQCBALpdb8rMthVUb4Q033ABg8cmem5uDVCqFWCxGLBYruuFTU1OYmpqCSCSCUqlEZWUlGVJNTQ1GRkbws5/9bMkst7m5GeFwmIzwmmuuwa5du9DU1ITZ2VnKWE+dOlXU/vJ4PPB4PMRcuXz5chFzJ5VKFfVty8rK4PV6qe71l3/5l7Db7dDr9RAIBDh8+HDR7zQ0NMBoNKKqqooTL9lsNuh0OqTTaaRSKYjFYqhUKkgkEmi1WvD5fIyPj8Pr9cLn8+Gll15CVVUVduzYgampKRw8eBDAYhjQ2NiIqakp/OxnP4NKpUJbWxu6uroQi8WQTqcxMzMDi8XC+Zz+8R//ETMzM+jq6kI8HkcoFMLs7CxxDXfs2IHPfe5zCAQC8Hg8ePvttzE0NAQAeO+992A2m9Hf3895r8wItVpt0UmVTqfh9XohEolw/fXXY3JyEt3d3SU/21JYtREy79Lf3w+/30/lj1LHk1AohNVqpbJBd3c3fvKTnyAej2NhYQETExPLtvHyDRBYfNqGhobQ19cHt9sNnU4HvV6/LH9ufn4eJ06cKNlwLwW5XM5pcZ0/fx6zs7Ow2WwQi8WYmZkpKhL39vZCJpMhnU5DpVIBAHlpVipKJpOIxWJwu93IZrOQSqXg8/nEv2MP4ujoKGprazl/Q6vVQqPRQCwWQ6PRIJFIwO/3c66ThfQSiQSJRALd3d34+te/DqlUCrVazeEdMuNxu904ffo0EokEIpEIJwxZiqQQCATw6quvYmJioiT3EFiMf8+cOQOxWIzKysrfP4GB3aAjR45wWBes1xmPx+HxeCCRSHDjjTfCYrFgcnISfr8fb7/9dsnCNUNbWxsmJiYwOzuLsrIyyqYZTp8+jWQyibNnz2JiYgK7d+9GZWUlp0m+ceNGmM1m+P1+hMNhdHZ2Ft3MP/mTP4FIJMLg4CD8fj/OnTsHAHA4HDAYDJxs8OTJkwAWkw6VSoXJycmSpIBYLIb29nbodDq0tLSgrKwMMpmMyiSJRAKDg4PE6Mk3srKyMvrvcDiM7u5u8Hg8aDQa8Pl8lJeXw2KxQCaTQSKRoLOzE6dOneL8fXZctrW1QafT4bXXXqP4nN0Tl8uFXC6HmpoaTE9PY3BwkJOMGQwG7NmzB9FoFGfOnCnqglitVkxOTuJ73/teyc+vrq4O1157LZ555hmK6z/96U9Dq9WW/PlCrNoIOzo6kEqloFarYbfbMT09jVwuB4lEAovFgng8TkcPK0tEo9Eln5pCOJ1OOJ1OCAQCpNNpTqLAjgAWfI+MjMDlcnFIE4yIEA6Hl/ybLKZlXop5j3g8jpGRkZK/E4vFIBKJVmw1+v1+JJNJ8Hg8KBQKaDQazM/Pw+PxFHV1GAr7syKRCEKhEAaDAXw+HzKZDAKBAJFIBAsLC0gkElCr1ZzTJ5vNYnJykso6hdfEWo+5XA7JZJJeNx6PQyQS0Ynm9/uXJBOXlZUhEoks2QJNJpOYmZnhxIE+n2/VZbyrLtE8/vjj2L9/P370ox/hzTffRH19PTGNr1y5glAohLm5OcTjcfIsDocDTqcTY2NjJWOF8vJyPProo7j11ltx9OhRPP/88/B4PBgeHoZWq8WXv/xlGI1G/Omf/in9DquPXQ3uvvtuCIVCtLe3IxgMQqPRQCqVLsvrM5lM0Gg0K5ZxgMXy0JYtW1BTU4Py8nK8/fbbxPRm2Lx5M9atW4ef/exnRb9/0003QaFQQCAQkPEAiyyl3t5eVFRUoLm5GYlEAnNzc9SvZ9i4cSPF6jMzM5z3xTpIYrEY1113HZqbmzE/Pw+3242enp4l74HD4cDDDz+Mw4cP08nBIBaLUVdXV7IFq9FoIJPJSs4iFeKqSzSsXMFqeoyLl81mKXMaHh7mPDV2ux1arXZJaj97KrVaLWW9SqUSBoMBBoOB2mT5uFoDBBZLKTweDz6fD6FQiIwwHwaDAalUirwCmyFZDdiHzOZVSh3fGo2GyiqFSKVS5KGFQiF5QgahUAi9Xk9ZaCqV4hhhIpGAVquF2WwuysJzuRzEYjEVusvLy+la81kwhRAKhUvOjmg0GiiVypLfK1U/Xgqr9oSf+9znqAYWCAQoNc/H5z//efB4PPzXf/1XSR7bUhAKhWhoaIDL5aKbODAwgFdeeQV8Ph8PP/wwjEYjfvrTn8Lv90Mmk2H9+vWYn5/HyMjIisNCn//85+HxeHD27FnMzs5yHhCVSgW73Q6bzUbsYK1Wi02bNiEQCBR5skLIZDJs374dBoMBNTU1UKvVOHbsGM6ePcvJ/tmoQnt7O/0NFuuxUIMd25WVlbBarXjggQeovtrf3w+5XE5cy7m5OUxNTVHtEFikjeXH62azGWazGTt37oRCoaDOisvlgtVqpSN2eHgYb7zxRkmSLLDo4fNPgs2bN0OlUlH7k4UHBoOB2oHM4fxeZ0zuvvtuLCws4Bvf+Aa5ZVaBZ2CZ3GpjAYZ0Oo3+/n5MTk5i06ZNWLduHfWGs9ksvSG9Xg+/3w+XywW73U5M5uWOU7vdjk984hM4c+YM3njjjaK4JhQKwWKxYOvWrRgdHUU4HIZOp8OGDRuWjOUYWNB/ww03wGQyIZfLIZPJYG5urqj8dOuttwIAXnvtNWSzWTgcDmzevBmpVAqZTAbnzp2jvzc9PQ2hUAi5XE7GIpPJaIKQsXsK25eF1QIWv69btw4qlQqzs7NUx2S0rlwuRw/QUqMJhaHI9ddfD5VKhYmJCU6BvLa2Frt27UIoFFry1CuFVRshyw7z5zYK3/Tw8DCkUumqj698ZDIZbNq0CUajEW63GwKBAFu2bEEqlcL8/DwCgQCampqwadMm8lizs7Mlb1o+BAIB/uM//gOnT5/mHA8CgYDagR0dHXjvvffoe36/Hw0NDSU7EPnegnWP2OkwPT2NYDBYcrDoL/7iLwAsJkcikQgdHR00QFSIZDKJwcFBfOYznwGwWI9sbm5GRUUFGhoaMD4+js7OTgQCAahUKmSzWaxbtw42mw1arRYjIyOoqqrCNddcg0QigRdffBGRSAR+vx+ZTAaf/OQn0dLSgvPnz+PYsWOIRqOIRCJFCR2fz0ddXR2qqqowMjKC3t5eGAwGBAIBBINBhEIhjqdrb28vSWpZCas2Qo/HA7/fvyxJdGpqCjKZrGT9zmq1LutZstks1q5di2QyCZ/PB6FQiC1btiASiaC9vR2RSARtbW1oamrCuXPncO7cOWrYl4Jer0d5eTkCgQBefPFFznWXlZWhpaUFqVQKqVSKCrUMMzMzGBgY4MSdEokEN910E86dO0csbla3c7vdCIVCuHz5Mubm5pDJZKDX65esoa5du7ZoNHI59Pb2gs/nQ61Ww2QyYXp6msZN16xZA61Wi6qqKuj1elitVjQ3N8NisaChoQGDg4N48sknOZ9JIBCA3W7HyZMncf78efD5fCJb5MNms6GxsREbNmyA0+mEWq2GVCotGrP4XbFqI/xf/+t/rfgz4+PjkEqlMBgMiMVinLJGYdxWV1cHrVZLH4bT6cT4+Dg0Gg1n+CiRSEAkEkEulxNfLxAIcOqAUqkUTU1NSKfT5F3Y1BeAosB67dq1sFqt8Pv9JUsvWq0WtbW1yGazaG9vRzqdhkKhwKVLl4qOpoWFBVy8eBEajQY+n4/KVGw4q9AQI5HIVRkgsJjZrlu3DgKBAGfPnoXf70drayvm5+cpNNqzZw+2bNkCs9kMp9NJpTKtVotPfOITCAaDGBsbQzQaxeDgIL7zne8gEAigvr4e8Xgcfr+fc7wrFAryqlNTUxAIBJBKpUgkEhSH1tXVQSwWo6ura9mx0pXwO03bVVdXI5lM0uwHC4qbmpoo8BaLxRgbGyvqL//pn/4pqqurceHCBbjdboyMjKC/vx9r1qyhcUafz4dIJAKJREJdAzZ7yzygRCJBTU0NHn74YaRSqZJHXDqdhl6vR0tLC7RaLdauXQupVIrh4WFks1mYTCaKYWQyGSorK9Ha2kqjnKy1VViiYGAhActoVSoVtFotTCYT1q5dC4/HUzR+WllZiUcffRTf/va3l1Wb4PP5OHDgAHbs2IHe3l689dZbMJlM2L17NwYHB8krd3Z2YuvWrXA4HKiqqoLP58P4+DhMJhPuvPNOCIVCnDt3DlNTU/je976HgwcPwmaz4aGHHsLc3BxOnz4NqVQKh8MBHo9HVLT29nbE43EIBALs27ePQ6y46aab0NLSgp/+9KdF98ZgMKxakeFDGWF1dTVNubFJNcZ0YWUKgUCAqakpClILj80rV67A4/Ggp6cHXq8X4XAYmUyGjHp+fp56n5lMBhKJBLOzsxgZGeEQWpVKJaRS6bKF8e3bt8NoNMLlclE2nMvlcPLkSXR1dSGXy0GlUtEopVQqJRYIO2qXG9QqKyuDXC6nUhIra/j9fgwNDZVsg3m9XvIwy8FgMCAajWJ4eBjDw8MYHBzExMQEJicnOTW4QCCA3t5e4kJOT0+jq6uLpv+EQiF6e3vh8Xio/JTNZqkNyBjjLKlksTi7p2yWxmKxYGRkhJoJMzMz4PP5VO7JZDLESl/pvTGsukQjFouh0+nwrW99Czt27MDXvvY1vPzyywAWXbdEIqEP0Gq1Algcjroa1NXVwW63o7a2Fp2dnXj//fcBgEiwTqcTGo2GQyVqaWmBXq9HbW0tQqFQUUllz549+NGPfkSdGADUs92zZw8pBzz88MPU652YmMCbb74JANRVYN5Kr9fja1/7GhQKBXUoGHmW9V3HxsYwMzODN998k2JRm82GaDTKSY5MJhMn42U9ZTbxV1VVBZVKhXA4XJKtVAoulwvr1q1DV1fXsgV2oVAIs9kMh8NBk3nMaJLJJM6cOcNhDWm1Wtx7770wGAyora1FMpnE22+/jampKRrHYCdAKBTC5OQk0uk0BgYGVrzmVXvCVCpFXgngDr3kcjkIBAJSIEin00tmyIUMjHyMjo4im81CLpcXtaZSqRS8Xm/R0TU7O4tcLofy8nLyxvl/m7X8mBHmT56xLhAjWuTHofnvOz+eZYVspVIJh8OBXC6H2dlZil1zuRzNfuQnQ5lMpqhm5vF4aIqQFeiBxVahQCBAWVkZtFotLl++vCoDBEC8xuU8N5/PR2VlJUmJMAkR5sEzmQyNvCaTSeRyOTIuiURCbc+pqSkMDw/T+EH+e9Dr9X+4tp3VasVNN92EN954g6OLYjAYSKRnaGgIfr+fcyPMZjPS6TQpda0G9fX14PF4dJwvFzs9+OCDqK2tRX19PRQKBZ5//nmcPHkSW7ZsobqWxWKhOCUYDOIf//Ef8cEHH8BiscDpdNKQlsViwd69e5HNZnHw4MGSlLOWlhZ8//vfRzqdxuuvv05FdIFAgB//+MerVttisFqtuOeee8Dj8eB2uyEUCnHDDTfAarXi8ccfX7arkQ82pVfKC0okElitVuzbtw8bNmyAx+PBzMwMRkZG8NZbbyGbzcJsNkMul8Nut0OtVqO2thZVVVW4cOECDh48CJFIhIqKCoTDYU591mq1oqKiggr2ZWVlEAgEeOKJJ1a85quOCd1uN65cucIxMPa0iMVimhPOJxcAoHLJam8mACI0hEKhFYkQyWQSQqEQzc3NpIPT19cHgUAAr9eLTCYDjUZD7a5wOAy1Wg2tVguhUIhAIID5+XmiN9ntdpL0KGWEw8PDxOljMyeMuHq1Bgj8tm4JLLYkBQIBTQWuJPnGwKhTS0lwGAwGmEwm2Gw2en+MoMG8Fps4dDgckMvlsFgsqK6uxtDQEKcNWdg2ZaJS7L2rVKpVx4RXJQOSyWSQzWaLMqF0Oo3JyUk4HA7E4/GS7R+j0UiM7NXCaDRCq9USibWtrQ0OhwPPP/98UZnj5MmTmJiYQFlZGerq6uD3+8Hn82E0GtHU1EQDRAsLCzh+/DhmZ2eRyWRgt9upfSYUCklYqb29nUo/69atQ0VFBUwmE37zm9/QqMAvf/lLaDQalJWVwWw2E2O7FKqrq6FQKBCNRpHL5SCVSiESiUjL0GAwkCrZ8ePHEY/HaVpuNbO9rPXJUMgSNxgM4PF4mJ+fx7vvvovLly/D4XCguroaDoeDFMoYF5JR2Q4dOoQ1a9ZAJpPR1B57WH0+H5LJJPR6PVHX+vv7EY/HcfDgQWSzWXzuc59b+dpX/In/C8bEZUPwpRAIBJYsYCoUihWf6MKCtkqlgsFggNVqRTabxQ033IBNmzahq6uryAhnZ2epFqZUKkmcU6lUwmq1UuabSCQwOTlJQTdTHmC0LsblGx4ehlKpRFtbGywWCzZs2ICqqipMTk6io6MDuVwOH3zwAWw2G2677TaIxWLMzs4uGWrYbDZYrVZYrVaSsWNx1eTkJKRSKebm5kgrEVgck2CjpitBo9GQxF7hZ8Co/mzwrL+/H4ODg7jmmmsosWN0PIFAwPn9aDSK8+fPo6KiAnfddReV42QyGerr60nyj4kwzc/PY25u7qq6Zqs2wqUIjfnweDwljwKdTofa2loMDQ3Rh9/a2gqpVMpp8+Tz2UwmEwXmrHj9zjvv4MUXX0RHRwdRnVQqFSknxGIxXLp0idRiy8rK0N3djY6ODlRWVmLfvn1IpVKQy+Ww2WzE0HnzzTdpTIBlqAwNDQ2w2+146aWXSEG2qamJw1hmZFSFQrHsWGQ8HqfE5+DBg3C73XA6ndi8eTMGBweLWl42mw3V1dVUMF8OjIU9MjJSFA9u27YNRqOR1MiY9HE6ncbw8DCpqAmFQqKDzc/Pcz6PsbGxIhvQarVQqVRQq9Wkw6PX67GwsPCHMcLlUFNTg3g8XnIQSCQS4dprr0VNTQ3FPABw1113QafTcW58NBrFxo0bsX//fqJyyWQyVFRUIJ1O45e//CU6OzvB4/FQV1cHlUoFq9WK6elpGl6/fPkyfD4fnE4nHA4HDUexmEupVBLzua2tDVarFa+88gpdQ2FGx+Kzl19+GdFoFGq1Go888gh53VQqhe7ubmSzWfIOrFYYDocRCAQ4KgzMAzKPPzExgfvvv7+koFNVVRU2bdqES5cuUabd1taGy5cvF3lHrVYLrVZbUhTgmmuugUwmwy9+8QsAi/EbC3NGR0cxMjJC8Z7D4YDVaoVQKMTs7CwuXry4ZEIYCAQQCASg0WjgcDg4knVXI/f8oYywra2NExcyGrdSqSRKOxMWj8fjCAQCGBkZ4XzAP/7xj4sq6jqdjhRTmbqTSCSC0WgkYUlgsSTECrCMI8g8WCwWw/T0NPr6+hCLxSiAzmQyNE8xNDRE7bX5+XnOdRgMBk5Sdfr0abjdbjpmg8EgfvKTn0ChUJCKK8vIBQIBTb4FAgGEQiEyttHRUYjFYjQ1NXG0utnfKGU8wWAQvb290Ov1ZIRLdW3cbjfGx8dLUqd4PB5kMhm2bduGwcFBlJeXU42TXSdDKBSi0EkgEECn0y1rUCwRY/PkrFjtcrlWPWNy1SWahx9+GJ/5zGdw7bXXUox34MABqNVqqNVqkpONxWLo6OjA5OQkKioqSGo2k8ng4sWLnDcuFospuGcTYIFAYFkumkKhgFqtprILi+l6enqWvGmPPvoo0uk0Dh06hIWFBRo29/v9CAQCUKvVMJvNGB4e5siCMJTSwWloaMD//t//G1VVVTAYDKRGdv78ebz11ltF5AgAFMSzels+lEolampqIBQKMTo6ilAohE2bNqGxsRG//OUvl60SGAwGJBKJIv2cb33rW6ioqEA0GkUymcT09DS8Xi+mp6cxOjqKqakpel+7d++GxWJBMBik8CEej3Paobt27YJWqyWF1itXrnDifYvFgrfffhsmk4kzCbgUrtoTBoNB9PX1caQmZmZmSC6DeSk2u8GOKavVilQqhVgsBoPBwDFCxp4JBAKYm5tbUWUUWKwhsjYhM0KpVEpF0lIJkkgkAo/Ho6KsWCymlh9rgZWVlZVMoHg8HlwuF8cIWcuQjTt6PB7w+XzqQ5dif0ulUkogEokEx+vmXxuLLROJBILBIObm5op0ufPBBud1Oh2USiV6enooPh8cHEQymaQkjHnoqakpTExMcJIpxhFkMR4zxHywViabsy68X/Pz8xgYGIDf71+VEa7aE65bt45iGXZzGYlzJdxzzz345Cc/iampKXzwwQc0/C4UCnHdddehrKwMv/jFL5bkon3+85+H0+nET37yE/T39+P222/HQw89hJmZGXR3dyOVSiGZTFLLK5lM4r333uMYs8PhwKc+9SmkUikcPXoUoVAI27Ztg8PhwA9/+EMynPvuuw/Hjx8vop3t2rULt912G44fP47Dhw/DaDSisbGR1GKTySRGRkYQDAbR3NyM+vp6PPnkk5zXqKysxN69e2E0GnHx4kWMj48XzdxIpVJUV1dDIBBgYGCAYwDV1dXYunUrUqkUsVaYhB3rJl1zzTXYsmULXnrpJWqrAovZ82233QaHw4F3330XHR0dHG950003IRgM0jSfRCJBfX09ZmZmroqgymAymSCXy1fkewJXqcCQSCQoLhOLxaipqcHs7GxRYboQrCfL+qTsIiUSCWWUy5UhWAbGZCVYSwlYjGmy2SzEYjGxhYVCIdUEmYcwGo1QKBRIpVJQqVSUzcrlcs6DxLx40Y36v55JLBZTwsR+jmXjoVCIjq/CgrXRaCQ1LubNSrFMWAJTqujNesqs1cdiPaZElkwmKTkonP2IRqMIBoNYWFig+l4+tFotJzRg7221CUZhO/ZqDPdD7zGx2Wy49957iWg5MDCAJ598csmxQTbGyHZrsEa+w+GAXq8nLWej0YiPfexjcLvdOHr0KLLZLKqqqiAQCHDmzBl6veuvvx4XLlwgj7B161YYDAZKPhhTuKamBk1NTTAajcSda29vRygUgsPhgEqlwk9/+lOSQVMoFJRYAYtHrkKhIFngUrjlllvotdix7PV6MTQ0hMuXL1PWHI/H6SFm7S+j0UhUMlboXU1bk903pm4WDAaRSCTgcDhQVlaGK1eu4OTJkxCJRLjjjjugUCgwOjqKQCBQlIlrNBps3boVbrebvieXy7F58+ZVkVDkcjm167RaLY4fP0528AfdYyKTyWCxWOBwONDQ0EBLaiKRSMkjeilvOTk5yWkBVlRUYO/evRgaGkJ/fz/R5gs/mMuXL3OIlIFAgIyFeQStVgubzYaamhqoVCoolUqSsmAeMpfLcbJVlnU3NDSQWkImk1mWECCVSmE0GuF0OqFQKIhhbTab0dbWBmDRe+c/oKlUColEAuXl5di2bRt6e3sxOTm5ZMzHdGkYWLggEolIsDOZTNIqDxYymUwmuFwuSKVS9PT0FIUZ7JQJh8Mcr8d0avLBKHv5RBBg8ZRUq9Worq5GfX09RkdHl1TiLYWr9oRtbW2w2Wzwer1YWFggdsj09HRJ6n+pdQr5b4ptQWIik0zxVCQSQSaTIRgM4ujRo1R2YSgspRQWv/l8PmpqakgcXKPRYPfu3RCJRFRM1Wq1EIvFOHfuHIaGhlBdXY39+/dDrVbDZrMhkUjgvffew/T0NMbHx4syYzbyyIigFy9eRCKRQF1dHdatWwefz4eJiQmakQEWY0ubzYZXX32VHiybzUZcyqWSskIj3L59O6lJBAIBThK0a9cuTE1NUdFao9GAx+MhGAwW1UHVajVnrNVisUCr1WLHjh1wOp14+umn6b4zGT6mRbR3715YrVaMjo7SegmWbP1Bpu3Ky8uhUqnw8MMPo7m5Gf/8z/9MfL/lYLVaS5Yp7HY7DAYDGhsbYTabsXv3bqxfvx7t7e04dOgQqqqqcOuttxIdfSWBbrFYzPEi2WwWCwsL5H0WFhbwyiuv0LJHoVBI9CP28KxZs4ZCDJ1OB7/fj87OTrjdblitVhiNRoyMjCCRSECpVOKuu+5CMpnE6dOnMTk5SXFWf38/1q9fX3L++NOf/jT27NmD9vZ2CtpZZr6c+Gcul+PwNRsaGhCNRml1Rj4K49qV5n/zY8G9e/fSZyKXy7Fu3TqMj48TUzwcDmN+fh4KhQL79+/H2rVr8cwzz2BmZoY2egmFQtx4441FM91LYdVGyNgvL730EgKBwLKESZvNRlo0o6OjMJvNMBqNGB8fpxvGlLu6urpgNptp7BBYDJITiQStSnjppZcQDodRWVmJiooKYm8PDQ1RjNXZ2Vl0lBUeoVu3bgUA8pas9WcwGNDU1ASRSIQzZ85QwsDIphUVFdDpdJDL5Xj33XfR2dlJw/qBQKBoI5JCocDs7CyGhoaKyBxvvvkmurq6SsaXyy2gYbJywWAQsViMGEulmCpMgoRBIpEQY6YQhQ83W0DJQiqFQkHbSltaWhAKhShOzl9ylC8Hl06nYTablxzyL8RVx4RHjx5FJBJZVjbiiSeeQHl5OZ544gnMz89j69at+OpXv4oXXnihqP+YyWQwMzOD06dPY8+ePQBAYpSHDh3C4OAgvblNmzbhi1/8IqanpzE9PY0zZ87QdawUzEulUtx0003wer1khCyrlEgk2Lp1K8LhMI4cOYJYLEbqp5s2bUJdXR2NXHq9XnR2dkIsFsNkMnEM32QyoampCX6/v0h5rKWlBRKJBM888wyRRF0uF6ampkoaH5vhZkbBRNSBxa7GuXPnIBAIyEOx48/pdEKv13NIsHfddRekUil+/etfk7dm8XsikYBAIIDZbIZOpyPtG+YdWUtu3bp12LdvH4U2PB4PKpUKuVyuJHnVbrfDbDYv+5kwfKjEpJSYJMPCwgJmZmYgEonojczPz6Ojo2PZkc9oNAq3203dkkwmA7PZjFwuR0FuOp3GxYsXacZidnYWTqez5AxLIVjJIt9zMEFItpfE7/djZmaGw0zOp5INDAzQtczOzuLw4cOcOLi1tRWtra04cuRIUQgyNzcHoVBIYQTT7i7V2mIDXey4lkgksNvtNGbJylJMjZ8lDEzRixk5sFh8d7lcEIlEMBgMdPQXTgGyigLLoJkGD5uvmZiYwODgIOLxOHVTnnrqKZK7W79+PWZmZqj9ePToUchkMnzxi19c9nMBPqQRsjdSarY2FArhxIkTKCsrIw925coV/Mu//AtSqRQMBgNUKhVaW1uRyWRIENLj8dAssdvthsViwebNmyESibB7926Ew2GcOHEC3/3ud0moXKfT4dZbb8XExMSypQS2FYotzdm9ezfi8TgOHDiAhoYGvPXWW3jvvffg8XiKjvCTJ09icHCw5APEBublcjlcLhc+/elPY9OmTZwZGJVKRWqr+VCpVKRpyMD4j1u2bEEsFiMjTCQS2LRpE83ZHDlyhCO1l81maTaHzX1XVVWhtrYWZWVluP7665HJZPDee+8VzbkIhULweDwsLCwQ6Vgul8PpdMJisZDxsbIT6+ZMTk5SwrJ161Z8//vfx8MPP4xwOIz/+Z//WVE+JR+/E4tmqRiGbQViYpksSRCJRFCpVDAajaiurkY2myXiASN5Ar8VBkqn0zS7wjSdmQcAfit9ttxeEGDxeJdIJHC73cSEZq/Pfj//7xdipVkJNg89NjZGcsgMfD6/ZIY4OzuLSCTCidPq6uoglUrh8XiKHu5gMAi9Xk8E3FJgbGZWzGcr3iYmJhCLxTA3N1eUpPB4PAgEAojFYrrvkUgEXq8XgUCAThjWHWMz4Pnlm/n5eUxPT9PA12oZ1Qy/kxEWll4qKyuJHgQsytLefffdOHXqFE6cOAGVSoXy8nI4nU5cd9114PF4OH78OM6fP08MZqbGGg6HcenSJaJFAYuZtkql4rSCxsfHkU6nodPpEA6HqcuQf9Sy9bO/+tWvOF2Il156iehnbW1tGBsbQzab5SQTYrEYDodjyb0pwGIixufz8bWvfY2+VlFRAZ/Pt2RmyrbO5+PjH/84RkdHS8rGHTp0CBs2bCD+ZCHC4TAJfbI9dhqNBlNTU/jBD36wpIpZNpuFTqejpYysjXjy5EnK7JVKJZxOJ9VbKyoqMDs7S6SGwcFBfOpTnyLBpYaGBnznO99Z9QqJ1e9/XQUKg1EmqslmGJjXYQoFbLhcpVJBLpcTGYEVRBcWFkh5NRaLQSqVFglBsg1MBoOB87ctFgvq6urgdDop4C5sg01MTGB0dBTRaJQ4hoUFWjaFtxzyZzQYamtri651Jaw0lzE/P1+y5QYsnkqsb85mPZhY6XIyeqxoz4QKGBYWFmgbAfO+bJqRnRz5YKcLsOgY7HY7XC7Xqt73h2rbldrkKBKJ8K1vfQuRSAR/+7d/W/T7jELPljhfd911kMlk+OCDDzA7O4va2lpUVFRQ2yqRSCAQCFCclN9nfv755zE+Pg6xWIzHHnuMaoRzc3N48cUXASzGaXfccQeAxaOkv7+/JD0LAKkzMGbIUkvA16xZQ0dvV1cX/ZzNZoNcLqdkpKKiAvv27cN7771XJECeDyZdks1mKeAvLFYX7pfj8XhQq9VE9O3t7S16ABiTiCl+lUrampqa6L9jsRg8Hg8tMGKOgoUSTOWVlW7YoNhqVHj/IG273bt3w26349e//jXn6waDAWvWrFnyqWNPJ7v43t5eKBQKEteMRCK0nFCpVBLtiy2jYQG0UChEZWUl3G43mpubaWaDxTUM0WgUSqUSsVgMkUikyHvkP0iss5EfbxZCrVbjmmuuoe2bqVSKjJC9Z8ZprKqqgk6nW1YGo7q6Gp/85CcRiUQQjUbx/vvvFxX/29raUF9fj+PHj1NFgi0aam5upj3QPp8P58+fp98rjCcL++HAIn0uGo0iFApxROG3bdsGg8GAgYEBWmMhk8looP0PgVUb4QMPPAChUAiXywWlUsm5MUy0+ze/+U1JYRyZTIba2loAizEIGz7KZrM4duwYvF4vGhsb0djYSERLtVoNl8tFhhWJRPDuu+9ibGwMDQ0NuOWWW0jagnlpNpEXDodpEQxTBSh8Igv/vZIc8NzcHI4cOUJE1Gw2i8rKSkgkEpSVlSGXy1GGPjAwQFUANlxVmMSxvc1MJN5ms+GRRx7B/Pw8jhw5glQqBYfDAbPZjBtuuAGRSIRDMWNjA8vFnVu3biXOYCGee+45iMViuFwuzvf7+vpgNpsRDoepmK/RaOikkcvlqKqqQjKZvKr+8HJYtRHed999pHvMZNwmJiawdu1a3H333ZiensYrr7zCCeCrq6vR3NxMK62ARSOUSCTUAmL9X7fbjQ0bNmB2dhbj4+MQCARobW2FXC5HKBRCKBSiAqzP58N1112H4eFhUvZnu+W+8pWvoLa2Fv/6r/+KV155BZWVlUsuNKyrq0NZWdmS5Z38SbdMJlOkAf3II49QHBcMBul1pqamMDY2Bo1Gg5tvvhl+vx9dXV0cT5JIJBCNRqmzsmvXLnzta1/D+Pg4gsEgZmdnYbVaYTKZ0NLSApPJhFAoROUfxpoppOczMKXXY8eOkZFptVrs2bOHeIbJZBIej4eToQ8PDyMajdIOZzZMFolEoFKp4HA4cODAAaTTaRIVBX57CgCLIcS3vvWt3796/09+8hNIJBI0NTVBr9fTH2cVfbbLI5vN0rC5w+GAVqtFX18fenp6iBiQTqfx3nvvcW4ek+pgXi2TyWBqaopIm6x3GgwGUVVVBa/Xi/7+frS3t0MsFuOuu+6CzWYjkR6JRAKHwwFg8ekuld0yBdSlRNiZATLPrdVq0dvbS16CjWi63e6iI9DtdhPplqmu5pMu5ufniQmUTCZx5coVfPOb36Q6HmPmsPc0MTHBOd7b29vB4/FKlsnYAqPCDaeBQKCoiF6K3cQm8rRaLfR6PYUWUqkUPB4PZ86cQSqVohOmVK/6O9/5DqRSKWeX81JYtRGyJ7CjowPr168nSrtQKEQwGKQOB9vnIRaLYbfbodFo8OKLL5KCKZtLKATj4uV3ELq7u6FUKmGxWCCXy/HAAw/AYDAgHA5jbGwMJ06cALBoLNdddx0aGhowMDCAnp4eyOVytLa24sqVK0smJH6/H0qlEtdccw0VyQvjHrYY5tZbb8WGDRvw/PPP4/nnnwefz0dfXx9R7wtR+DpbtmyBWq2mDz2Xy+HIkSNQKpXQ6XQ4efIkDZxbLBbU1NSgsrIS9fX1OHfuHHp6eiAQCNDS0oLe3t4la7RtbW3YsmUL+Hw+vF5vUfLAeJvLgU0VMuFNplIhFovR399P6203b96M1tZWvPbaa0WvsRpGNcNVJyZsoosdjTMzM0QlYv1Lo9EItVoNg8FAXDMW+DqdTvh8vqIPTqvV0k6U0dFRmkth2oSsqJ1KpShWyX9dlsF5vV5SCGBrzZRKJZWH8j2WRCKhBCgWi0GhUBT1c5PJJEnSKRQK6nyk0+ll48hCsfGl6GyMEZ0PFseyHrbX64Xf76f3tFwZZ3p6mpQbnE7nqjUC88GUL5ggEpM4UavVnOSmp6fn95KsrPoKmUh6NpvlNMdnZ2fR19cHn89HMRObMW5qakJVVRWOHDlCKgOf/OQnkUgkcOzYMXL7EokEVVVVMJlM2LNnD6677jpkMhkalpqamqLW18zMDC3e2bRpEyYnJ2Gz2UiF/vz585iamqK9dDU1NbDZbJBIJCS8/uqrryIYDMJiscDv92N0dBSTk5PYunUrHnroIYyMjODf//3fKVbyeDx49tln8dxzz62q5HDffffh3nvvxZtvvkmF58HBQahUKuzduxdqtRpDQ0OYn5/H5ORkUUbe0tICl8uFyclJTExMoKenB2NjY+SNVjLC6elp8Hg8fOlLXypqDQKLRnbHHXfg7NmzHM8oFotx9913w2q1EjFhfHwck5OTMJlMqKys5BBzWawOFI8BXw1WbYQ6nY7KHYWYnZ3leBg2d8uecFYAlkqlpOHHWkvsf6lUCqFQiPPEMQavx+Oh+CaTyVCMJhQKoVarodFoqB7Gam18Ph/BYJBmgVmxOpfLQafTgcfjka4Koz0xihQrmhdiNQbIjCQSiSCbzZKYJJs8BBZrpmw8tpQnyWazSCaTnNmVTCaDdDpNWjYrIZfLYWBgoKRuNqOo5Xs1Pp8PvV4PhUIBqVRKIlesGsBE15diyK92xrgUVl2sXrNmDQCQcazmzL/vvvuwbds2vP/++zh58iRmZmaKbqBCoYDVaiWmik6no+WMuVwObre7JG3spptugt/vx/j4OGw2G+666y4IhUK89NJLS978/L/JVpAVYu/evZiZmfnQ5YfCvcmFsiLAImlg//79aGpqwvDwMIaGhjA7O0sGabfbaW4klUqhqqoKNpsN586dg9frBY/Hw1//9V9jamqqpDZQXV0dp0i+YcMGiMXiZZX1+Xw+dDodKisroVQqYbPZoFKp6HN5/fXXyQvabDaUlZVh7dq1UCgUeOmll4rCqwMHDkAul+NXv/rVivds1Z5Q+39XpGo0GhrMXgnj4+M0ie90OkuqdbG9bV6vlwqxjLggEomW7NkyOrlcLqd5XB6PVyTYXgqpVGpJ1u/4+HjR31SpVNScX0mcaDUaLOz9scyXzbmwovrc3ByncM52S7NTKJfL4ZprrsHY2FhJI2xsbOQYIWtdLmeEbLWF3+9HJBKhpejAonfPP4Y1Gg0qKytxww03wGg0kqotg9VqRV1d3ap7x6s2wq985SsIBoP43ve+h0uXLqG8vBzl5eWUrpdCLpfD/Pw8dDodCXG/8847RT+nVCrpSGTyvSqVCmVlZaiqqsLrr79ekslSUVGBNWvWYH5+Hj//+c8RDAZJvLxUS2nt2rWco5Z1b/IfqC1btmBubo5zY1ncU1lZueLDV+jpdTodMVqi0SjV7EZGRtDZ2YlLly7h4sWLlESxkgcA7N+/HxUVFejo6MDJkyc57+nRRx9dVgHN4XCQZ62oqCializE5z//eYjFYpw9e5a4lQsLC+jo6OAYoEgkws6dO6HRaPD+++8jHA5z7klrayvWrFmD1tbWoj78Uli1Ed52221wu934//6//w/A4jD8F7/4Rfzwhz/kDFkzsBghFAqhvLwclZWV4PF4mJ2dRW9vL8djFHolhUJBe0iYCsHs7GzRqKLBYMCWLVtIboSBaWbnw+VyYc+ePRAIBJienkYymYTBYIBUKsXzzz9PD0t1dTUpjRZ6boPBsOrSg8VioYa/yWRCW1sbgsEg8ezm5uYo6WAtTa1Wy3nY2trasGnTJvT395esQy4FqVSKyspKSihMJtOKp8P+/fvB4/EwMTGBVCpFcm/5BrhlyxY4HA6sWbOGtlDl3w+lUon169dTeWm1MyarjgkPHjyIhYUFfP/738eFCxewa9cubN26FUeOHCnKiiorK2G327F+/XqUl5dT8jE8PIzjx49jZGSEyKN79+7Ftm3b0N3djZGREeh0OhiNRioN+Hy+kopVDFu3bkUoFKK54ba2NpSVldF8R2Ebkc/n00oyo9EImUy27C7mDwM+n4/NmzfD7XZjdHQUAoGA3hO7Hqa/k/8hNjY2QqVSQafTQaFQoLq6GkqlEgcPHizSYywrK4Ner4fNZkM2m+WcMCKRiPaQsBkRtsuYIb93LhaL0dzcDLlcThOIbFP9yZMnSQlNr9dDpVKhsrISIpGIxAzOnTuHdDoNo9GIbdu2AQBVUt54440V79eqPeGLL76IbDZLbz4YDOLgwYPkLaRSKW655RaqtMtkMqxbtw5lZWXw+Xy0kFulUsFkMpER3nPPPdi/fz9tixodHUVXVxcGBgZw4sSJFWMsFucwkcidO3fSNY6NjZHuIEM2m6UjcXZ2ljOsc7VgcSvLXNmH6nK5UFtbSwZXam45n3fJwNZc3HnnnZBKpXjrrbdw4cIFapnld5ieeOIJVFRUoKqqCgDwd3/3d3jjjTcQi8XIk+3ZswfBYJAMlDGRmEJEeXk5ampqcObMGXIk27ZtQ3NzM1pbW2G1WlFdXU0CUWfOnIHX66Xrvvbaa1FeXo75+XmMjY1BJpNhbm4OPT09q97wCVyFEfL5fIhEIrhcLgiFQnR1dWF+fp52X7B5BKa+z+fzcfz4cRL0YSWWeDxOR7VEIkE0GsXc3BwxeUdHR6nNplAoVv1mZDIZyRZHo1F4vd5lp9eA3+rrfViwRYdOpxMAKKMOBoO068NoNK6a9jQ1NYVcLoezZ8/SycHEpvIfRrVaDaPRSPQxJjhgNps5NdwLFy5w/i4jUkgkEmg0GhrTzEd5eTnsdjsmJiYwMjKCaDSKVCpV8nMIBALQarVobGxEU1MTJicnMTw8fFUGCFyFEbL60Y4dO1BWVoZf/vKXuHTpEqxWK6655hqEw2EMDQ3RPK9UKsVPfvKTotdpamqCUChEeXk5SeReunQJU1NT8Hg8uHLlCk6dOgWZTEZ60oXxj0ajwde//nVEo1F4PB54PB60t7cjHA4THYqRNAv5eFcLllkmEgmkUinKWmOxGHw+HxQKBW6++WaSKB4eHsbc3Bzm5uawZcsWfPWrX0UwGMSlS5cwPDxcsvRzww03YHJyEr29vbSliZV6WEaen/ytWbMGLpcLuVwOTz/9NHmmmpoarFu3DnK5HKdOnVpy7UQikUBjY2PJdubOnTtRW1uLb37zmzh+/DjWrl2LhoaGkq81Pj4OnU6HT33qU9izZw/+4R/+4UMVrFdthIxhPDMzQ56GzWhIpVIsLCxgZGQEAGivRSnE43FIpVIy1EAggKmpKbjdbgQCAXrdcDgMsVhcMs3XaDS0LpVN/I+OjpLnY5xDNojFjHA5NYhCsA1G7PVNJhPtw5ufnycVMNYTZ+3EfDABI8ZEXmo2hG02ZVjpoWFdKh6PxyniszhspTBfq9UuGYZMTEyQ+hqT2EulUsTNzAfTkmQiA6sReC+FVRshM4xvfetbGB8f54iN53I5jI6O0tPKGvGl4PP5oFarsWbNGkilUly8eBHRaJSyQuYpWO1MrVZT/Y/N8bKl3OxDHx4e5hy9LEi+8cYbEQgE6AP+2Mc+RiKZpbJLs9mMRx99lLK6mZkZ/Od//ieARc+6c+dOnDp1ipM1h8NhPPnkk0Tpyhd/n5ubw+DgINHslyplmUymJYWkSmF0dBSf+tSnYDab0draCovFggsXLmBiYoKzdLK1tRV8Pp86VGVlZfTw8ng8tLa2oqOjA3q9Hk1NTYhGo/j2t7/N+Vtsf8w111wDjUaD48ePc7xid3c3nnrqKfT09HBkl81mc8mWYSms2ggZ7Z6VQlihmAlULgUmp8GQSCRoBZVYLKalO1KplMOMBhY/YKZNwwrSjLDKZIJZi6zojeXJfDCwWLWhoYFoWfnIJ00wYgMDK6OUqleyWEulUnE8dyKRoJno2dnZJTdhMq96NWCnUkVFBQAQJSz//VdVVSGXy2Fubg48Hg9WqxUajQZut5u2ejKS8lIDVEyKWS6Xk1JG4dE8OztbVM7S6XTQaDSrei+rLtGwLCyRSCCTycBqtcJgMKChoQFbtmzBqVOnimJAgUCAdevWcaRmmazGPffcA4FAgH/6p3+i7610XJaVldE8LJO0nZ2d5bT2mFyazWaDTqej1Vdsm5Rer8fNN98MuVyOX/ziF0UeiI2YVlZWQiaTwWAwQCAQ4L333sPCwgLMZjM2b94Mk8lE+4RLxb6MnVz4wQqFQtjtds4HqVarUV5ejk2bNiGTyWB0dBRzc3PLbrRfDixuZ9tSOzo6SFUhkUhwSl4ulwszMzNLFr63bt2Ka665BqdOnVpyRW5DQwN27tyJl19+uehI/r3OmIyNjUEgEKCiooJWV7E6ld1uJwJpPiQSSRG7ll0UE6rMx0oFVabAz7xiMBiE2+1GKpVCWVkZhEIh6uvrodFo4PV6iQi6du1aUqifnp6mTZ82m63ICDOZDBYWFnDp0iXYbDbs3buXtgAAi5lvU1MTqqursXv3bnzwwQdLGmEpz2cymdDc3MwxwmAwCIlEgsceewzJZBLvvvsuhoeHOUaY331Ybtm1SCRCU1MT1VvZBk5WhSi8pqWklQHQou+lFogzMMKr1Wr9UHHhhxbJdLlccDqdVLqZnJwskr5lezhKxYg7duyAUChclQjj9u3bYbVacf78eUxOTpLWYFVVFXVMjhw5QtfZ2NhI2TzbW/fOO++U3IW8Em699VZYLBbOLPDGjRuJ0Muo+4Vg1LdCOJ1OiESiIhEliUSCm2++mVZSsH46Q+FSHbZyrbDWqNfrcccddyAUCmF6epr6/dlsFiMjIyW5nDabDS0tLQgEAlR3ZVo5TNg0v+982223gcfj4dVXX6Wv1dfXk254vsf8g4pkspUIk5OTJdkoTI43m81yyKcMp0+fXlE5gYlVfulLX4LVaqV1sH6/n0S59+zZw3n6crkcRkZGUFNTA71ej7KyMjQ1NS3Jrl4JpYQl8yfbAJDqQb6R5BtgWVkZHn74YWSzWTz77LNFBggshjml2p8AOCL1DHfccQf0ej26u7vh9Xpx7Ngx5HI5KJVKOtJZueTWW2+l+Lgw7gYWWTv/8R//Ab/fj0cffRT9/f1obW2F3W7HuXPnihaGf/zjH0cymeQYYV9fH1paWrBv3z5MT09fFdn1QxthNptFb28vNBoN9u7di9nZWQ5BMpfLYXBwcEn2MVtxuhzS6TS8Xi/+53/+h2ZtlUolhoaGaFtAd3d3yXHOWCwGv9+Ps2fP4uLFi6te1VoIVmBnnogF+PnaMqw8shSi0Sg6OztpvcZqwaR/R0ZGijSgBwYGoNfrUVlZCafTiTNnzpCo1PDwMHp6euhn3W43xbal+rnss4zFYtDpdNTlYpsaCvHNb36z5Pu9cuUK2traVi0Jx/Chj2MGvV6Po0eP4ty5c3j00UdXfJ3y8nKibLEa1GrxxS9+EQ888AD+9V//FU8//TS0Wi12795NKqTxeBwjIyOkoSeRSDjH1RNPPAGLxUILsL/whS9QTU4mk6G6uhqbNm2iJYSxWAwmk4nWKTASrVarxVtvvbXq6wYWkw+20Ge1eOCBB9DY2Eir1CorK7Fr1y7Mzc2hvb0dBoMBf/M3fwOr1YqHHnqIWoOFCZ7ZbKbjO51Oc04FqVSK+vp63H777eDxeLTN84MPPvhQqv27du1CLpej+P7s2bMr/s7vvFZsYWEBp06dorrdUjbNKFb5DOiVwOYpWOuJCZHH43FapuP3+2lXHevHxuNx2O122O12eDwe+kDYnhWPx0NrHxjkcjni8TiGhoY4y71nZ2fB4/Go7sXKQoXyvUvBZrNBIBCQFuLVGCEr/jNWjFarpf16TLV1YGAAc3Nz0Gg0ZISFf4OdCqUkTVgR+ty5c0QiDofDJcdIV4POzk6aqV4trtoTbtmyBTt27MCzzz5bdO4ziYprrrkGKpUKzz//PIDFTPj222/HxMQEzpw5s2JPl6GpqQnZbJaT8DDxntraWuocmM1m3HHHHcjlcvj3f/93zM3NETHi6NGjePnllzlLbApjMpPJRJucljMsg8EAh8OByspKDA4OlkxIGCQSCRobG7Fz507EYjGa1SjVttNqtWhubsa9996L0dFRfPe73+V8f//+/bjzzjtx+PBhvPzyy1CpVNixYwdyuRwuXLiAWCyGXbt2obq6Gq+//jqFQGyjfWHY09zcjDVr1sDr9dKEYakeOp/Pp5996623VlwVUgqrMa+rHgxg6gOlYgu5XE7D6j6fjwrFJpMJUqmU6EWrRal1Coxtw8ifrOfMWCzMiJiMGZsxSSaTNAtcCFY8X+mGsQK5TqeD2WxedpKNLeBmUhvz8/NLepdsNkv1yVLtTolEAoPBQH8vFAoRjWphYYFmc6xWK2eDktVqhV6vL3o9rVaLsrIyKJVK6oiUgtVqhd1uR3l5OUdAgJV98pG/PPNqcdXH8fnz5yk7zC8bCAQCtLW10fHMwCSAh4eHYTKZ8Cd/8ifw+Xx49913MTs7uyyLhT3RTAWAxSg9PT2YmZmhmtfY2Bg++OADKJVK+qDZUukLFy7Q0cD+XyaTQSAQ0L+9Xi9uu+02jsTvjh07IJFIODy9eDwOnU6HAwcOULeCqUgwmptSqcSRI0cwOjrKuVcMBw4cQEtLC3w+HyKRCF588UUEAgEcPXoUZ86cAZ/PJyEilUpFXRw2+MTwzjvv0DoMprgvk8lwyy23YM+ePbSXmSVV+XqMbKDJ7XYvmTgeOHAAmzdvJtp/WVkZJSl33HEHotEo1U6B36qjMbYP21uzGvxOMSH70FOpFBQKBSwWS1HMYTabSQWULZDRarVEdSplhPkazMBi8sNeh02BFRZdC7fK+3w+uN3ukkcIk6HL/1CZ8A8D623nL+xhv1tWVgYejweHw0ECSGxQSCwWL9lZABaZLlu2bMHU1BT8fj/nRGFenxE3mCgm22ZaWAVgkipMOAAA7YiWyWQYHBwkg2bdEgC09Wq50KOiogI1NTWIRqM0hcjA5o3yEY1Gia/IQqbVimX+TkaYn92m02kSH88vTj/77LPQarV44IEHACxmS3Nzc3jvvfeWvAlOpxNVVVXECGG6LcsNGfX19dHQeDqdRigUopi0EKUM89133yWlhYWFBZw9exbJZJL4k2xpTV1dHUZGRjA2NoZLly5hdnaWjO6WW25BXV1dkZh5Pl5++WWcOnUK69atI4WKwjokU2Vge11OnTqFw4cPQygUoqmpiaTcJBIJ9cHD4TB6enqwY8cONDc3QyAQ0HIelhCdPn2aNK4tFkvJ+y8UCmnl7/z8PLq6ukjGhaHUcBXrnzscDlrivVr8TkaYX15h678ymUxRcToQCMBut2N+fh7d3d2Ynp6mG6DRaGAwGDjJAou5amtrEY/Hcfz48ZKxXD5CoRDC4TBaWlqg0+mKGNVLwWQyIRKJoK+vD62trfj85z+PS5cu4ZVXXoHf78e+ffvgcDhoe6ZcLofH46EFO/k3e2BggMimrNeer6qfzWapdsoY5qWGgZhHYcSN8+fPIxwOw2Kx4LbbbkMgEMCVK1cgFAqJGePz+eD3+8Hn8+FwOLCwsACn00nbRJmIJYt7lUplyYeaCZem02ki5164cGHV5N/lyCxL4aqNUK1WY+3atfRv1s6Jx+N4+umnSyqiAsCvf/1raLVaVFZWQigUcnaaFO4+9ng8EAgEJOrDZhjy8eCDD2J+fh7Dw8O0nDuRSFx1ay6RSHBIEf39/fjggw+oqMzinoaGBlRVVWFiYoKUqxhkMhkNjJ8+fZozbslaiCaTCQsLCxRzjo6OUmzmcDggFArJ6JjibH9/P7xeLyd2ZcvLmQosewi8Xi9isRjWrl2LxsZGXLlyBRcvXiQl/3Q6jfr6eiwsLMDtduOll17idJoYiykej2NiYgI//vGPASy2KA8cOIDf/OY3q+oLl1qctBKuygjFYjGeeOIJbN++HVeuXEF/fz9nEuy5556jNQmFQ9+sGb9p0ybodDosLCzQh7KwsIC2tjbU1tZiYmIC/f39FOTm79RgqKmpwQ9/+ENcuXKF1nOFw2Fa3sOwefNmWtqzFBKJBCorK7Ft2zaIRCL09PSUnM/t7e1dko71wAMPwG6347//+7+LjqGbb74ZUqkUuVwOU1NTFKqMjIxAqVTCYDBg586dcDgcWL9+Pa2qcLvdRfO8TP9Go9HA6XQimUyiq6sLCwsLlOFeunQJjY2NuHTpEo0JrFmzBjKZjJzHqVOnOCeFRCLBxo0baWgpHzMzM/inf/onnDhxYkkjNBqN2LlzJ959990PxWK/KiNMJpM4fvw4LWW2Wq0wm81khOXl5VAqlfD7/bRvIx9yuRxHjhyhkglribHJOsbqrayspCOm1DEwMzODV155BW63G3Nzc1TKyffAjPu20k1JJBI4deoUaeUolcol+8xLsXyeffZZqNVqxGKxoiL2lStXoNVq4XQ6OUmby+XCzp07aUgqGAzi3XffpXg2FAqVLP6zCUE231JXV0ebS4FFZvSVK1fQ3d2N0dFRSCQS0pZhwgX5opjl5eU0n1OqwCwQCPDWW28te8wy2TyVSvWHN0JgUSLu0KFDuPvuu/GJT3wCa9asIS93yy23QKFQ4Ny5c6TWxfDAAw/g1KlTRfQk1g0ZHh7G+Pg4mpubce211yIcDmNkZKRkEhGJRPDZz34WGo2G6mLMAL72ta/BbrdT+ScUCpXsf+YjHA4vW3hmSCQSxEphyRKwaJzsv/fu3Uv7WIDFNWIGgwEHDhzgGOeePXvwhS98AVeuXEFHRwfa29vx+uuv031hZANWDQAWi/51dXV0D+RyObGR+vr6aBdfMpmkkCCRSGBsbAzpdBoul4v2qjDce++9JDecnyA5HA7s3LkTZ8+exXe+8x1s374dzz77LPx+P95++20iI6fTaaxbt45qlKyBUVlZWZIsUQofOjFxu93o7OykY4Dt3wgEAvD5fJw4T61WE6s3/ykszM7YtFx7ezuRUJcq8EqlUkSjUbrZTIhyYGAACwsLtF3zarK01YAJKS3V856YmIBSqSTGN1tbVliEnp+fx9mzZzE5OQmfz8d52NjycDbnwryLwWCA1Wql8EQsFtOWVcZgl0gkRR2S/PJMYYGdldkKhZaYwCkzJLaVKxKJUGsvHo8jl8shGAzC6/VykkfWVlzVPb3ath0bjGY3zWKx4Oabb8bk5CRx+vIhEolwyy234I477sDRo0fx5JNPrurCSkEul5PYpEqlwhtvvHFVrBTGj5udneVsZ9+xYwd2796N9vZ2GoRvamqCQCBAd3c3Dfqo1eqSejqFaG1txZ//+Z/j8uXLePfdd+F0OnHXXXcBAN566y1MTk7SIDqfz8fatWvR1dVFRtDQ0ACr1UolMGbMu3fvxr333otgMIienh5EIhEEAgFaF8GO8nA4zCm8MxY8Ww3LBtrXr1+P7du3o7e3F//zP/8DhUKBhx56iFYJR6NRXLx4EZ2dncveZ7adKv/e7N27F3q9Hs8888yK9+uqPaFGo4FCoSAjTCaTMBqNJQN2tl+EERc+TPqej2w2C7FYTC3AqxWANBqNpAbLjtN0Og2n04ny8nKiezF1WGawbKHMUtoqQqGQ4lzgt+vBGOGB/Y/NauRPurGWHWO4AKB9KuzfbE8gk3NjWtfhcBg+nw/pdBpqtZq2CrCl4+xaWPuSrYMwGAyorq6GVqullRDJZJIWZzudTtqwyuaUl0M8Hi+6N6xDsxqs2hOWlZVRV4BN2aXTadoclEql6IYwfh3TMmZSYmwoyu12LzmfyufzaRENy5ZLsa/b2tpIxy9fVJ3BYDBAp9NRt0AikVDywOK/Xbt2weVyYXR0lFZvBYNBUmxNJpN0nSaTCRUVFcRjLFRUyJeEs9vtuP7663Hu3DkiX3ziE59AKpXCs88+y/m9AwcO4GMf+xjOnj2L//qv/6KCtEQiwdTUFEdwiM/nw+VyLasQ63Q6sXbtWkQiEczPzxNxg3V6pFIpOjs7MT4+ThSv6elpnDp1CmazGV/84heh1Wrx+OOPU7i0Er2/ra0Nu3btwm9+8xtOiaYUGbcUVu1KZDIZxShSqZQKrWz2lCkRMI+QTqcxMjKCSCSCubk5BAIBVFZW0uhgR0dHySelrq4On/zkJ0msUi6XlzTC+fl5VFZWkn72oUOHEA6HYbPZoFQqUV9fD4fDQdcXj8dJcpdBr9fD5XKhu7ubPlidTkcbmvKvj5E2WD2PFYDzv88Qi8XQ39/PKcAzilk+7HY7GhoasGHDBsTjcdTX1yOVShHht3DijxW7l4PH4yEtGgC0l5nFimxTKBM78nq9CAaDFG6l02mST2ZYifXEhr6ampo4RrjaCcJVGyG7oVqtFps3b6aRPrYuNZVKwev1QiqVYtOmTaTpx/bNsTfO1EvLyso4vD2FQgGj0YimpiYaZpJIJEvWptra2mAwGGAymSAQCFBdXU2SZkwZH1j0DDfeeCO8Xi8mJyehVCrx2GOP0QKfsbExosWHw2EKK3bv3s0pfsfjcYhEInR2dpLxsZ0pvb29yGQyaGhoIA2aQCAAh8OBYDAIn89Xcs5GJBLh0KFDOHv2LCYmJiiLdzqd1DPW6XRFXnc5sLUTo6OjJAOSzWYhFApx1113UflLq9VCIBBQEheNRjE2NoaxsbGiPcXsM2psbITf7y+Ki2dnZ3Hu3LllhauWw1XHhGyJC1OPYrEMm3wDFovJdrsdV65cwdDQEOLxOPUw2Q3R6/W0jTybzcLpdKKurg4ul4uOfJlMVnI/nMPhQENDA+RyOVGw7HY7pFIppqenOS3DiYkJ6PV68gBarRYPPvggHA4HnnrqKVy8eBHZbBZGo5GG8GOxGNavX8/xhMlksohwceDAAc64aUtLC/bv34933nkH7e3tMBqNaGtrw/vvv4/x8fHimy8UluzwTExM0Bgom2UupFspFAq6d/lgouepVIpT12TbTfP3CrL4Mn/wye12k2MpfO2NGzdCLBaT4sLRo0epxtvb2/uhKxEfqkQjEomos+Hz+TgywOl0mvQCxWIx1qxZQ3GUUqlEb28vQqEQuru7kU6nsXnzZtruxHa8+f1+BINBDA4OluwZx+NxHDt2jI5MJtXB4/EonmIdAavViqamJqhUKgwNDdEmTKbbzI4uNszPSg8vv/wyrcGYm5vDxo0bYTabOTtPTp8+zTFKdh1CoRAWi4WkQzZs2FDSCJc7WoPBIKLRKCwWC2pra0ksisFkMiGRSBTdn3PnztHpUVlZiVgshtnZWfD5fBgMBmQyGWoMsESFKYsBoC1TVVVV1CJkOHz4MFQqFc2rrF+/nvbLMPb36OgoDAYD9u3bt2rFs6s2QqYgf/HixZJTY5FIBEePHoVarUZTUxO2bNlCxMupqSl88MEHHE9144034sYbb8SRI0fQ3t6OSCSC2dlZdHd3k6Dk3r17YTQaMTExgUAggOHh4SWlRu6//360tLQgEonggw8+wM6dO7Ft2zaYTCYMDAyQihhTB2NUKD6fj7m5OTKwZ555Bnw+Hw8//DBqamqopFNTU0Peq3B/B9swIBKJUF5eDrPZjIqKCrhcLlx//fUlWdPLIRQKQa1Ww+l0QqFQ4NChQ3TPy8vLkUwmSz6kzFi/+MUvQigUkvyw0WhENpvFzMwMJXJ8Ph8qlYpWuAWDQcRiMTQ2NmL9+vX4zW9+QyfC7OwsZmdn4fF4YLfbceutt8LhcGBsbAwejwfr169HVVUVNm/ejD/7sz/7/cuAMKjVavh8PpjNZsjl8iLVVdauY4u2mZdhwkmMZc2OgLm5OVy+fJkmyhh50+12U9o/NzeHWCwGp9OJpqYmOJ1O8sSFTJCZmRni9bHOw/T0NCKRCGWJrOSwsLAAj8eDyclJuN3uopaTWCym+YyBgQFMTU3RdUulUuITsgK83+/H2NgYlWSmpqYwPj4Og8GA9evXX7UWYiaTQSAQgNVqJWNmRsg6I0uBaTSy+ehcLkfFY6beqlAoSLWMFf31ej317VlLsRBM+GBubg6RSATDw8PweDxQqVTQaDSYnJzEv/3bv4HP5+P//J//s+L7XHWJ5stf/jLi8Tjef/99zMzM4IEHHsAtt9yCZ555Bj/96U+Lfp5x79iAEHsqWF2M6b1cvnwZXq+X9vLmr1loaWlBKpWigPdf//Vf8fGPf5yyt2effZbki/NvPuvOMLoUI3pWVVVBoVDQUNQ3vvENHDt2rGSNUyAQwOFwEMPlvffeo+9t2LABDocDGzZswMLCAg4ePEir1IDfCgOcPHmSXvtb3/oWstks/vqv/5pehxWkC/veDEqlEgqFAo899hjuuOMOHD9+HC+//DI6OjqWHSTavn07GhoacN1110EikVAPOn8i0e12w+FwwOVy4dVXX8XBgweXfL1CfPzjH4dOp8OhQ4cwPj5O126xWHDgwAE8/fTT9ED/Xoffy8vLEY1GSVSIYakCLlOlz1/+whjDTCQ8kUjg8uXLiEQiNDeS//vz8/OcOhNjyzBxy1LGMzs7i4WFBVRWVgIA/W22NFCpVBLdfblxU7baNhKJFN1ItkqW1SCZZiHzgCzgz399FoKwfjAbHS11HUwDh3k65mF9Pt+ysh3598BsNiMej1Mpic3cMIGkkZERGky7WtIBS24YG51dP+vcXK2406o94de//nWk02l0d3djfn6eWBOxWIx24RZOkjFd63A4jHA4DJPJhLq6Osp8Y7EYXnvtNQwMDKyKB9jW1obKykqcOHGiqGxx++23AwBHFYDB4XBQwqPVanHzzTdDp9Ohr68PXq8XtbW1cLlcOHbsGM3HaDQa8tb5ZIX6+nr853/+J3p6evDMM8/QxB+wWMJgiYzf7+dsVWfe9+zZswgGg8TULsXMuf/++6HT6TA4OAi/30/yHaXA9Kb7+vqK+uyPPfYYZmZmKHa99tpr4XK58Itf/GLJe+xwOCCVSpdNmh555BGUl5dTs+DNN9/E5cuXYbVaSZOImdVqRDNX7QnZ0yQQCKBQKBAIBCj+stvtyGazRUbI5/Mhk8lInSqTyZAkHFumrVQqqZi6XFFULBZTq6pU3cxmsy3p+pkML7BI/hwYGKDsUiwWo66uDjt37iQjYWUkdpPzYy+TyQS73Y7JyUkEg0FOksXUCyKRCDweD22eSqfTmJmZoTKPXC5HMpksaYBsoxUTLhcIBCv2bZkSWTab5ZRyPB4PhzDC1t8uB71evyL7JRqNIh6P04YCtVpNQuoejwcOh4OGpFaDqyYw2O12mEwmXL58GdlsFuXl5XjkkUcwNzeHt99+G4FAgFMisFgsuHTpEuLxOGw2G/7qr/4KiUQCR48eRTQaRXNzM4xGI6anp+Hz+YgLlw+2A4Ud5WNjY0VF7La2NuRyuaLptlLvg71lJvbz8MMP495778XExAQuX76Mubk5XLx4kTZMCYVC6iHv3LkT+/btoy32wWAQHR0dyOVyeOCBB9DQ0ECE387OThw7dowT3NfV1cFqtaKrq+tDzfFWVFSU3IdnNptRXl7O8TxtbW3o7+/nPCj5yQ2wSLZg69WY4uxqsXHjRqjV6pKjFHv37oVMJuMIZy6Fq86Op6amOHShmZkZUn2yWq2UgbENlaxlxn6WMT9Onz6NeDyOLVu2oK6uDhUVFUilUiTADvx2Koy1y9g+ZLYRfXBwkLwUq3stB7PZjGQySbU95ukWFhaQy+VgNpuxfft2jI6OYmBgANFoFCaTCUqlEkajEalUCjKZDN3d3bDZbGhubkYsFqMdcG1tbWhsbKSYifH48iGXy+F0Oj8UDV4ikaCiogIqlYrDugFAnil/wCoQCBQpXeSXdJqamrBnzx54vV4ajb0aIzx//jwMBkPJ783MzKy6GnBVnlAqlWLfvn2oqKjAc889R9vJH3/8ccTjcYyPj8Pn8+Hs2bNFnqqsrAxlZWVYt24dHXVMwlahUGB6epp+h0ltMGMPhUKIxWLo6OjA1NQUHVf5xVsmks6yQXYMiUQi3HnnnQgEAujp6aEYlq32EggE2LdvH3bt2kXGMzw8jP/+7//G3NwceZympiY0NjaSwbEt6IwQkclksHPnTjidTly6dAm9vb0YGBig2Iotl2FSvQylyLTMmIDF2Cr/Z9jXWdH5asDIIYzNzgbo2Yim3+//0OplDE6nE2azGQ0NDRAKhcvGnwyr9oSPPfYYJBIJNm3aRKsKXn31VdoCzxT5lUplybnbr3/96xgZGcG7774Ls9mMT33qU9BoNDh9+jTGx8fR2dmJ4eFhbN68Gfv37ycCQyKRoDrU4cOHqUddKCvHJHfvv/9+uFwuPPXUU2hvb8cnPvEJfPOb38TJkyfx1a9+FclkEg0NDVQDZOTZzs5OGAwGOJ1OLCwsFBWBJycnsWPHDtqnzJZ0s5IHO55VKhU6Ozs5cy0tLS144oknkEql8Hd/93cYGhrC9u3bUVtbi7GxsaJyyxe+8AXU1tZidHSU+uvsgWNerrq6mtqlq0VdXR0cDgdl9MePHwew2CXZvn07TCYT5ubmsLCwAJPJBLlcXlK2xGw203aufLS0tOAzn/kMxaar9G+rN0K2SqqzsxOhUIim0Lq7u3HttdcS49jj8ZSMdQ4ePIh4PI5MJoNgMIhDhw6Rgr9Op6M+MiuqhkIh0llhMysmkwmTk5PIZrNFs7oGgwEqlQpTU1NExgQWd3l0dHRgZmaGGvOM3NDY2EiywLFYDIODg+jo6EA0GkVFRQUp87MbH4/HMT09TZvlrVYr4vE45ufnSQCAxZFKpZIK4P39/Xj55ZeRTCbpGF5YWEAikaBN9vk4duwYJicnafhdr9cX9WWrq6vhcDg49cuV0NvbS31uJhGSSCRgtVqRyWSoysHuZykJETZikM1mi4xwenoaEokEXV1d+NWvfoVoNIqvfe1rK17Xqo3wuuuug9frxV/8xV8UJQ7sYnw+35LiiEwAkq3bYvIajz/+ONavXw+RSER7fZVKJYaHh/GLX/wCoVAIGo0GMpkMtbW12LJlC2eo/ctf/jKy2SwuX76MUChEdUeWaV+6dAkvvvgieDweampqkM1mOYH55s2bMTk5iZmZGU7f9f7774dGoyGjVigUtL4sf4Qhk8mQEbG1aFu2bEFzczMOHz6Mc+fOUWE9H263m7QFNRoNR9vx8OHDOHz4MD71qU9h3bp1KC8vh8/n4xjitm3boNFosGPHDiwsLOCpp55ast5nsVjg8Xg49Tu3243t27fjr/7qrzAxMYHDhw9zMmlGKsnHt7/9bSJxxGIxlJWVYW5ujjyqx+OhYf2rkZVbtRF2dHTQxqZCdHd3Q6fTwWazIZPJLBt0j42NcUoe0WiU1o7FYjEMDAzg/Pnz1Nvk8Xg0sFRKTKmvr4/+Jit6F5Y+5ufnqWOQzxjp6uqCTqejHSP5xwcrJrMHjDGbVSoVJTZsMz0DW+c1MTGxonQcG2Bn8W8puN1uKmhrtVo4HA5MT0/D5XJxthewWLMQrB6r1Wo5e/Xy70tPTw/Gx8fR1dXF8WzpdLqIKDw9PQ2BQEC8TLZAvfA1r3YB96oTE1Z4bWpqgsFgKCkS+d3vfhcCgQDf/e53OU8VsOhxuru7yWuYzWaYzWbYbDZIpdKSbaOGhoaiVbAfBg0NDZx9JqXwwAMPoL29nf7WP/zDP0CpVOLVV1/FxMQEdDod9UaZls5KR6FEIsHtt99O265YBQFYftdL/u/r9XpUVVWhrKwMDQ0N2LRpE0ZHR3Hw4EFkMhnU1NSAz+fjZz/7GWXiRqMRRqMRVVVVNHrg8Xho29VyuPPOO1FeXl5ys0EhWH2QhV9msxm7du2iLk02m8WJEydW/Jur9oSMlcvj8aDVajkKTAwLCwsQCoUlKd16vR4SiYSMkLFxcrnckmUBuVy+pJfIp1SthFgstqr5Y/YEs1piKpVCMBhEIBCARqOBWCyGwWBARUUFeafl5DESiQTkcjm1L4HF7Ha1szGJRIK0udmMDivBBAIBJJNJWK3Wos9Co9HAaDSioqKCToDVLsB2Op2orq6GVCpd0QiDwSCt02VeeWBgAEqlEiaT6Q+nysX6ovlveteuXZicnMQ//MM/lPwdtkhRqVTSU8PKC83NzSgvL0dFRQW8Xi8lBxaLhWY6CssYAoEALpcL/f39q1pcCBSPlxYelydOnIBMJkNDQwOUSiWuXLmCSCRCJYva2lq0tbXBbrejsrKS9rcMDg7i+9///pJ/980330QkEqEHprKyEkajERs3bsT4+DgtL+/p6Sm5t4SxUsbHxzE+Po7BwUHMzc2RZ2U9awa2LKi5uRl33nkn5ufncfDgQaRSKezYsQPRaBSjo6Pw+XxwOBxYu3YtMdHNZjMcDgc0Gg327NmDvr4+ClUY44jJlESjUVy+fBmZTAZ2ux1tbW145ZVXVtQMKoUPRWot9HSbN29GIpFYMhZkZMr8Ng7bzsSa9ezJkcvlmJ6eJoZwKbA4R6/Xr2oEs1Bv22AwwGazccoP8/PzsNlstCXd4/FwYig2OajX66HRaGi1rUKhgMFgWLL7UZhBZjIZiMVi1NTUwGw2w2q1wmq1Fq11yH+v8/PzCIfD5FmY1B4jpOa/P6FQCJVKBbPZjOrqaop1c7kcamtrIRKJEI/HiY63du1aaiiw9qlAIKDCvslkgsFgwPj4OC5dugSpVAq73c7xkjKZjAgjHwZXbYQ6nQ5r167FoUOH6Guvvvrqsk+ASqUiyRAm83vu3DkEg0H09vaCz+ejoqICVquVBCx1Oh02bdqEUChEOigulwtlZWWorKxEZWUl6uvr0d/fT7tE2KYpqVRKsZ1EIkFlZSUWFhbIqNg6tELkvwe2s49p8bHSQ0dHB5LJJKRSKR3HbAcfE8nMb525XC5MTU1Rtu7xeKDVaqHRaCguNpvNJfVvduzYQZozqVQKo6Oj6Ojo4DiBwqZAMpnEa6+9Bo/HA7VajUuXLpG4kVKpREVFBVU3Lly4ALlcjsHBQYqXNRoNrFYrXnzxRQSDQcjlcrhcLgT+7yJMNveTf4pYrVZ6qJZ6mJbDVRuhUqlEeXk552sryWywWREmANTf308fFJunYAbIqF8qlQq1tbWIxWKoq6ujNbf19fXQ6/XQ6XSorKyEy+VCIpHA9ddfT1T/VCqF06dPo6+vD1VVVbT0kBkhUzcohcKHafPmzTCbzWQEU1NTGBsbI8Yzi/fMZjPWrVsHg8GAS5cuUZxbVlZGqx2Axaw4EonAYrHAbDaTXnZ+8b21tRVr1qyBw+GASqWiliUrCa2EcDiM9vZ2VFVVcRKDcDhcVF4bGBjgeOvz58+jrKyMPB1bf8FQKlFkxA2bzfb/xggPHjx41fJr7GlibGd2jEUiEQwODmJ8fBzHjx+no4cxTF555RVEIhHK6ph6w+bNm3HPPffA5/NhbGyMCtr5RsjiK1agZUcGo7cXUpXUajW18bxeL5VrWPeHkViZBBuTYfP5fFR3ZIqyZrOZOiaFWTDbtJRMJmk7VSGnb/v27RQWAKBJxdX2daVSKYxGI4dwylBYDGHHMSu9sV3NV4Pu7m5873vfo9qgQCCgzHw1+FAxYWH5hQ21s5qb3W6HSCTCiRMnaPvlmjVrAIB28u7cuRPj4+O0DKewjuXz+fCzn/2sZK3tgw8+QGtrK6anp3HlyhXav7wcmTIWi+Gv/uqv4Pf78dWvfrXo+x/72Mfg9XoxPj6OZDJZlBlOTk5i165dnCJsfh0RWPQqW7duhcPhgM/nK3ntfr8f2WyWxgCYCiyTZysvL8f+/fthMBgwOjpK8zk+n49Tk2Na0kz3ZmFhAfF4HC6XC1VVVdSpSaVSyw6vb968GRMTEyvOM5dCfX096uvr8eqrr2JoaAg8Hg8PPvggqqurce21166ayvU7KbUyb8YkH9jYJYuBWBzU3d2N7u5uYqOwD3mlEsByxd7jx49DKpXC6XTC7/evWKHn8XhIpVLg8/mw2WycY1ej0SAWi0EqlVIhuFTPlJE4WEbODCr/dUKhENxu95LXzlqbdrsdTU1N8Hg8mJ2dhUwmI9Gkjo4OUtZPJpM4deoULl26ROwimUyGxsZG8Pl8TE1NIR6PU1lmzZo1aGlpwcjICPx+PzUDlsLFixevaudIPoxGI6xWK0c97IUXXkBLSwu0Wi0UCgWuvfbaFV/nQxshn8/Hxo0bqWUD/LYWmN+CAhY951NPPYX6+nrs27cPfr+fSg0MN9xwA/bv34+vf/3rq5KmZcft3//935fcKXLDDTfgtttuQ0dHB95//32UlZXB4/FALBbTNs2hoSH4fD7w+Xy43W64XC5s3boVJpNpSSO0Wq0UE/X19UGhUGDr1q3UnXC73ataYabVavGXf/mXOHjwIF555RUIhUIYjUZEIhH8x3/8B1KpFNatWwetVsvZIAAseqBHH30UkUgE3/ve9+D1erFlyxa4XC7cfPPNuPnmm/H222+jr6+Pc2oxlV128gwMDFDT4cCBA8hkMjh79ixSqRTuvfderF27Ft3d3ejt7cXg4GDRCVhXV4empia0trZS2JJKpaj9qdVq8Wd/9mcr3otVG2FZWRnS6TQZjtVqLWKyhMPhJT1Ab28vxGIxvF4vLUjMBxuGMpvNq9ZHBhZbW6WedLbzeHp6Gjqdjp5MFuDHYjEayo9EIojH41Cr1cvOSASDQU7sFolEiO/IpOqWqluqVCoO/Z6VTdjsNCub+P1+8tJdXV0l98RNTU0Rc4e1E9lycnZd6XQaYrEYSqWS2phMQ3B2dhbRaJTDZLdYLERRC4fDiEQi8Hq9EIvFKC8vL1kKY8ICy42drgarNsLPfe5zpEUjEAiIM7d582ZEo1EEAoEi78HWJfz6178GsMhe0ev1JGfGoFar4fF4cPr0adTW1pJCgNPpxNjYGCUmLpcLjz76KMbGxjA+Po6BgQH86Ec/ArAYGjBxJnZMA7/duex0OrF161Z4PB48+eST6OnpKRonYOWiUmJHrDGf//AEg0HqV/P5fGpV5ePGG2+EVCqFXC7H1NQUnRyBQADHjh1Db28vAoEA5ubmiuKy/CRhw4YNVDj3eDz4zne+A2DxaHY6ncQi6urqwuDgILxeL5W52BqJeDwOr9dbshzE6onsaGVJYGtrKz7zmc+UZKy//fbbJKX3u2DVRsgW9LEZkf7+flJVcDqdEAqFRQya6upqbNy4ES+99BJ5yFKraYVCIQ3Hy+VyNDc3QyaTwWQycTozOp0OTqeTJtTynzatVgutVgudTgeFQkF8wVQqxdmYxESAlppnyR+AZ+9BpVJxSjz5yGQy5GkKDVAsFqOiooJk2fI9IaOjsWrASqirqytJOI3FYqR+xaRWWKuOqddWVlYil8vhypUrS2r7sGtIp9Oc62GKEquVeWtqaioZyiyHVRMYvve975HSltfrxXPPPVf0M/fffz8AEG1JrVajrq4O8/Pz8Hq9q1rap9PpcP311wP4bU1quTd1yy23IJFIoLu7G3w+H3v37oXdbsfU1BR8Ph+mpqYwPDyMlpYWPP744wiFQvjBD36A4eHhosRIoVDAbrdDr9dj3bp14PP56O/vJyY2o4wxsCEjNvvCYuJ8wfPHH38cHo8HR48eRTqdRkVFBUduJN/7MbXVfKwky5YPgUCAW2+9FTfffDNeeukl4nyygaTluksNDQ0QCASc2JqtOVMoFCW7YWwpEQuftFot2traON7x9zp3zAanGfWnFDZv3gypVEpGGAwG0dnZibq6OmzevBnvv//+isuYGU0olUrB4/GsuLZgz5498Pv96O7uRiKRoEXbPT096Orqwvz8PE0GMg+oVCqh1+vJCNlAPFM6ZUJGAoEAc3NztLq2sO7F1K3Y+i+mCX3ixAmaemMekLX1Nm7ciJqaGrzyyiucVRMASCGC1Rg3btyI5uZmzvKarVu3ljxOARBh2Gq1cqbuVqPqNTo6yiGLVFdXo66uDufOnSsywB07dtD9Y4oZ8XgcRqOx5G6+lbBqI/y7v/u7FX+GeYuGhgYMDw/DarWSgujCwsKyF1hRUYFrr70WZ8+eJVpXW1sbdTuWAsuS6+vraY9yf38/wuEwzZsAIIElkUiE6upq6lW73W40NjaioaEBMzMz6O/vx+DgID772c9CIBDA6XRCLpdzuiAM09PTmJ6exuc//3nY7XZcvHgRfX19cDqd8Hq9SKfTePLJJzn8RjYiWbgmjI2BMupVNpstuRtPpVJR1gosGoTVasWVK1fgdrsRCoXw9NNPczL01tZWyOVyiq2FQiGsVivHIWi1WqjVaqjVavD5fAwMDHBaswBolx6bzmPs8EQigWQySaEJkxZZLX7nfcf5YD1VtlqLqTVFo1EyQrYWa2ZmhvPh3HXXXfjnf/5nfPKTn+SwSSwWC3m7Up0atteD8ep8Ph9mZ2cRiUQ4zf2FhQWMjo5Cq9VSNyIQCIDH46G+vh4bNmxAd3c3rQwDfrs3pKGhgWOAhQ9GY2MjmpqacPz4cVy+fBkbNmzAjTfeiNdee63IizDVA+ap6uvrcf/992N0dBTHjx+HQCDAtm3bEAqFSur9yeVy1NfXw+l0QqfT4c4774Rer8ehQ4dobcRvfvMbinnZjhGNRoM1a9YgEonA5/NRBsyOf9YzvvHGGyEWi/GVr3yl6G/fdNNN1HFiFDem2Mti0oWFBdhsNuzatev/zW67Qvz85z+nLDGdTsNoNEKtVsPhcKC+vh6Dg4N45513Sga5Fy5cwJe//GWO+HpfXx+trl1qh8ixY8dgsVjwuc99DkqlEm+//TampqaI08a8s1gsxpUrV4g5woq7TNCyp6cHx44dK8pQrVYrqqqqOLqHhXHbzMwM9cXXrl1LXrYw+REIBAgEAjh79iyVi1wuFwwGAyYmJjA5OYl0Ol1S7YxdS0VFBRkS66QAv122yDLlnp4eEgx94YUXoFAoyHOxrlX+g9XX14e+vj5cvny5pDahWq2GwWAgmb9MJoPy8nKIxWL09PTA6/USoygcDuO99977/Q86FYLprpSVlaG2thbnz58vunlMlLGpqQl33HEHnn/++SIDbG1tRXNzM5588skipjJbKrMSZmdnsW7dOjgcDrz44ovo7OzE1q1bUVFRQRN0w8PD6OvrQ39/Px5//HHU1tbSBzUzM4Oenp6SrauGhgaSHwmHwzh79mwR76+vrw8LCwsoLy8nQkXhatgf//jHUKvV+OEPf4iTJ0+iuroat99+O/Epr1y5UnRvdu3ahTvvvJO8OSuIDw8P4+LFi4hEIpiYmKC6oEKhQHV1NWw2G9UcgWJSRj42bNiA3t5eesjzH7Camhq4XC4aV1UoFJiYmMDs7Cx4PB72799PCxWBxZPQbDbj8uXLSzqNUvhQRsjU+Jk4+sTExJLGwnrCbPdFIYxG46rd9nJgBstKMozOz1QS2PWxUhJjgKtUqmWZKWzsdHJykjLtQrCBfqZLzdTy899vb28vafcwXW9G4GCLDAsxODiIM2fOEGvZ6XSivr4eIpGIxOr7+/tpnwnTtO7q6lr1oFEymVySUcQ2ZYVCIXqwmHCVUCikbaSsSM6K9jqd7g9vhEajkRNTsKfHbreTmHoikaAP/vz585x1Vna7HZ/97GdhMBjohu3YsQNzc3NFGeNq0d3dDY/Hg0gkAj6fj97eXvT09HAMjK2/ePnll6FSqVBeXo7KykqqO1osFnR1dRGLhy0dnJiYWFY6jWXQy20W/d73vgdgMQEzGo2Ym5vDxMQEx0u1trZyFFmnpqY4e0A0Gg2+/e1vQ6lUorm5GVNTU3jhhRcAgEKe/BbfQw89BIPBALPZjFgshueeew59fX2cY3J6enpJI5ycnEQgEMDIyAhkMhnpfPP5fCiVSjgcDlRWVqKiogJ9fX2wWCzQ6XTYsGEDbZ5aDT6UETL5s8IiKzNCttWcQSqVkiq9yWSCTqdDJpNBLBbD9PQ07eW92imtfPj9fuRyOcRiMdpyVAgm0Fko3cYoYEqlErW1tQiFQvTAMP7fcijsAC0HtgWJydvlg81fL9fyYl6RCYAysBZgPuRyOaRSKe1BMRgMsFgsnKQqmUyCx+NRp6QQ4XAY6XSapJIzmQwSiQRH9Im93tzcHGZmZq76ZLtqQST25kq52wMHDiAej1Nqv3btWjz44IOkR83E1fNbcb8r2EyIUChEPB5fkuuo0+nwiU98AnK5nDI6pvI1NjaGqakpmEwmuFwuTE9PL1sgL9VBEAqFsNvtUCqVVPDl8/nYtm0burq6OLFWqbKTyWTCDTfcAL/fX7TdEwDuu+8+VFdXo6WlhcpNbD0HY4EDINY2E2PKR1NTE/R6PYd0wh5KJotSW1sLAEVx74YNG/D3f//3uHDhAv72b/92yXtTiNWY14dyPUuRFFi7jEEul5NmH1PaX0pAZyUsJa7D5IPn5+eXLYSr1WqYzWbSedHr9Uin07QocGFhAT6fj4QvS4F58pqamqLvpdNpmEwmrF27ljYOMPGjQiWDwtdniyIZt7BQmq2iogLXXHMNqquriTTClPsdDgdqa2upBrt27Vrcc889ZEz5iMfjkMvlnBUR+ZLA2WwWBoMBRqOx6HfFYjEaGhpQVlZW8t78LvhQnhBY/EC0Wi2no/HYY4/B7/dTnAIsDhUFg8GrUnsqBFssWEo8iB3thS04Ho+H66+/nual84+PzZs30zbSqakpRCIRRKNRYn4bjUZs2rQJ0WgUP/vZzz70dQOL4p1dXV1UL2xpaYHL5SJFCoFAgM985jMYHx/HqVOnIBaLUVtbi0wmw+mMyOVyXH/99XjwwQdx/vz5kgLsCoUCLS0tWLduHU6dOkXefMOGDZDL5ejr64PP51vViEAh7HY7vvKVr+DKlSsl5aGXwh/MEwKLReSNGzeioaEBwGJgzKTc8uH1eksaoFQqLal1UgosuC7lDdm6iUKo1Wq0tbVh69at1FXo7OxEe3s7gsEgbS5iCYjFYoFIJMLc3BxkMhkee+wx/Pmf/3mRFMbVorBWWFNTg7Vr11I8t27dOmzbtg1Go5HYNC6XC+vXr+fscIlGo8T1W6oHHIlEcO7cOZw6dQoDAwP09QMHDuDAgQMkVPphMD8/jwsXLhSVscRiMaqrq9HW1sb5ukKhoEH/lfCh64RTU1M0i8GWFjIm72rAuHyrgcvlQn19PWKxGMbGxjgZZUNDAzFw8mGz2ahkwRb6uFwu6PV61NbWEqVMpVKRRFo0GkUwGERXVxd++tOfIplMFhE5rxassMswNDRE2jZswc8777xDMsXAoqYN00Vk5AlgkTv52muvLVnMBhbjUMYjZA8A43IWJi6shZgfrzY0NECv1xfF7IlEApcuXSo53VeK3FBVVbXqPvKqjVCtVlNWycCMiO0BYV5vqcQFWHwqx8bGrkoHr76+nhYqms1mji717bffjunpafzqV7+ir/H5fDidTmSzWRrTFAgEuOeee1BWVobGxkYyPqPRSJQqZtxzc3P4t3/7t1VfXz7yRSoBUA+Zob+/n6b12BapV199lcOUGRoaQiwWg1qthkQi4Xif559/HlKplGSIC42CZbpsHTCPx8OlS5dIExJY5Dhu2bIFs7OzmJqawvvvv09//7HHHkNjYyMeeuihooGnqxlwY7zQ1WDVRshiq/LycsjlcjIikUiEHTt2QCwWQygUIhAILOsNu7u7iyr4+eUBVuzM/5nu7m7weDycOHECg4OD1FYSi8V45plnio68bDZL3RD2QbDRTz6fT/xGxh1kLOt8D2MwGCCXy4tmbAHQ3jnGg8w3ssIi8eDgIKRSKWpqamhfH5/Pp3IUY06zwjCw2OFgCriFC2mamprg8/mKjmSLxQKLxYKhoSFOLJnL5TA+Pg6NRkM7B2dmZvDLX/4SAoGgaBPn22+/jfb29g81upmPmpqakqzwUli1EfJ4PGg0GvzN3/wNtm/fjm9+85v4r//6L9x888340pe+hPn5ebz99tucJ9put+PAgQNoaWnBhg0b8PTTTxctV/mLv/gLbNq0Cc899xzeeecdbN26Fbfccgtef/11Kv4eOXIEJ0+eJGOorKzEj370I3zjG9+gkcrKykqYzWaadZicnKRs+aabboLD4UBTUxN6e3tXtfh7/fr1aGpqwqZNm6BUKvGtb30L7e3tqKurw/79+2nBjlQqRWNjI6LRKIdylY94PI67774bFouFZOumpqYQCARoRLS2thbvvPMO58NnvV6BQIBMJoMdO3bgzjvvxMGDB4uM8M///M9x1113YceOHUV/nw2Vfec738G2bdtQUVHB+b5UKsVf/uVfYmZmpiRP9MPghhtuWHUmfVUxIZ/Pp0Y2W3otlUppj3BhkZJJfFitVtLhKwRjQ0ulUvB4PNpLXLi6Pt8bCYVCmM1mTrGWXUu+MDoDaycVzsQsB0bpZ7If7KmWy+UUz4nFYlLOWmqfCwMbWchmsxS3sZIMu75Sx1f+Uu7llo2zScblwHiUhcjlctDpdFel+roSWJ97NVh1ieYjfIQ/FD58n+wjfITfEz4ywo/wR8dHRvgR/uj4yAg/wh8dHxnhR/ij4yMj/Ah/dHxkhB/hj46PjPAj/NHxkRF+hD86/n9K4kEsh4C3iQAAAABJRU5ErkJggg==\n",
-                        "text/plain": [
-                            "<Figure size 200x200 with 1 Axes>"
-                        ]
-                    },
-                    "metadata": {},
-                    "output_type": "display_data"
-                },
-                {
-                    "name": "stderr",
-                    "output_type": "stream",
-                    "text": [
-                        "Epoch 25: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 6/6 [00:02<00:00,  2.31it/s, loss=0.104]\n",
-                        "Epoch 26: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 6/6 [00:02<00:00,  2.35it/s, loss=0.0922]\n",
-                        "Epoch 27: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 6/6 [00:02<00:00,  2.39it/s, loss=0.0875]\n",
-                        "Epoch 28: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 6/6 [00:02<00:00,  2.37it/s, loss=0.0778]\n",
-                        "Epoch 29: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 6/6 [00:02<00:00,  2.30it/s, loss=0.0702]\n",
-                        "Epoch 30: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 6/6 [00:02<00:00,  2.37it/s, loss=0.0606]\n",
-                        "Epoch 31: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 6/6 [00:02<00:00,  2.36it/s, loss=0.0573]\n",
-                        "Epoch 32: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 6/6 [00:02<00:00,  2.33it/s, loss=0.0535]\n",
-                        "Epoch 33: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 6/6 [00:02<00:00,  2.33it/s, loss=0.0452]\n",
-                        "Epoch 34: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 6/6 [00:02<00:00,  2.24it/s, loss=0.0497]\n",
-                        "Epoch 35: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 6/6 [00:02<00:00,  2.29it/s, loss=0.0469]\n",
-                        "Epoch 36: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 6/6 [00:02<00:00,  2.28it/s, loss=0.0377]\n",
-                        "Epoch 37: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 6/6 [00:02<00:00,  2.30it/s, loss=0.0381]\n",
-                        "Epoch 38: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 6/6 [00:02<00:00,  2.27it/s, loss=0.0413]\n",
-                        "Epoch 39: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 6/6 [00:02<00:00,  2.23it/s, loss=0.0318]\n",
-                        "Epoch 40: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 6/6 [00:02<00:00,  2.26it/s, loss=0.0379]\n",
-                        "Epoch 41: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 6/6 [00:02<00:00,  2.14it/s, loss=0.0338]\n",
-                        "Epoch 42: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 6/6 [00:02<00:00,  2.22it/s, loss=0.03]\n",
-                        "Epoch 43: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 6/6 [00:02<00:00,  2.23it/s, loss=0.0287]\n",
-                        "Epoch 44: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 6/6 [00:02<00:00,  2.14it/s, loss=0.0269]\n",
-                        "Epoch 45: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 6/6 [00:02<00:00,  2.16it/s, loss=0.0255]\n",
-                        "Epoch 46: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 6/6 [00:02<00:00,  2.23it/s, loss=0.0304]\n",
-                        "Epoch 47: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 6/6 [00:02<00:00,  2.17it/s, loss=0.0265]\n",
-                        "Epoch 48: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 6/6 [00:02<00:00,  2.13it/s, loss=0.0266]\n",
-                        "Epoch 49: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 6/6 [00:02<00:00,  2.10it/s, loss=0.0256]\n",
-                        "100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 1000/1000 [00:09<00:00, 101.68it/s]\n"
-                    ]
-                },
-                {
-                    "data": {
-                        "image/png": 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\n",
-                        "text/plain": [
-                            "<Figure size 200x200 with 1 Axes>"
-                        ]
-                    },
-                    "metadata": {},
-                    "output_type": "display_data"
-                },
-                {
-                    "name": "stderr",
-                    "output_type": "stream",
-                    "text": [
-                        "Epoch 50: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 6/6 [00:02<00:00,  2.26it/s, loss=0.0249]\n",
-                        "Epoch 51: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 6/6 [00:02<00:00,  2.16it/s, loss=0.0228]\n",
-                        "Epoch 52: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 6/6 [00:02<00:00,  2.23it/s, loss=0.0297]\n",
-                        "Epoch 53: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 6/6 [00:02<00:00,  2.23it/s, loss=0.0228]\n",
-                        "Epoch 54: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 6/6 [00:02<00:00,  2.17it/s, loss=0.0285]\n",
-                        "Epoch 55: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 6/6 [00:02<00:00,  2.19it/s, loss=0.0258]\n",
-                        "Epoch 56: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 6/6 [00:02<00:00,  2.13it/s, loss=0.0205]\n",
-                        "Epoch 57: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 6/6 [00:02<00:00,  2.14it/s, loss=0.0265]\n",
-                        "Epoch 58: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 6/6 [00:02<00:00,  2.08it/s, loss=0.0237]\n",
-                        "Epoch 59: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 6/6 [00:02<00:00,  2.05it/s, loss=0.0226]\n",
-                        "Epoch 60: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 6/6 [00:02<00:00,  2.16it/s, loss=0.0272]\n",
-                        "Epoch 61: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 6/6 [00:02<00:00,  2.16it/s, loss=0.0236]\n",
-                        "Epoch 62: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 6/6 [00:02<00:00,  2.10it/s, loss=0.0234]\n",
-                        "Epoch 63: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 6/6 [00:02<00:00,  2.11it/s, loss=0.0211]\n",
-                        "Epoch 64: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 6/6 [00:02<00:00,  2.06it/s, loss=0.0245]\n",
-                        "Epoch 65: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 6/6 [00:02<00:00,  2.08it/s, loss=0.0246]\n",
-                        "Epoch 66: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 6/6 [00:02<00:00,  2.13it/s, loss=0.0195]\n",
-                        "Epoch 67: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 6/6 [00:02<00:00,  2.10it/s, loss=0.0227]\n",
-                        "Epoch 68: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 6/6 [00:02<00:00,  2.11it/s, loss=0.0251]\n",
-                        "Epoch 69: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 6/6 [00:02<00:00,  2.07it/s, loss=0.0209]\n",
-                        "Epoch 70: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 6/6 [00:02<00:00,  2.08it/s, loss=0.0236]\n",
-                        "Epoch 71: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 6/6 [00:02<00:00,  2.03it/s, loss=0.0261]\n",
-                        "Epoch 72: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 6/6 [00:02<00:00,  2.11it/s, loss=0.0255]\n",
-                        "Epoch 73: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 6/6 [00:02<00:00,  2.16it/s, loss=0.0232]\n",
-                        "Epoch 74: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 6/6 [00:03<00:00,  1.98it/s, loss=0.0229]\n",
-                        "100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 1000/1000 [00:09<00:00, 103.82it/s]\n"
-                    ]
-                },
-                {
-                    "data": {
-                        "image/png": 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\n",
-                        "text/plain": [
-                            "<Figure size 200x200 with 1 Axes>"
-                        ]
-                    },
-                    "metadata": {},
-                    "output_type": "display_data"
-                },
-                {
-                    "name": "stderr",
-                    "output_type": "stream",
-                    "text": [
-                        "Epoch 75: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 6/6 [00:02<00:00,  2.15it/s, loss=0.0198]\n",
-                        "Epoch 76: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 6/6 [00:02<00:00,  2.22it/s, loss=0.0264]\n",
-                        "Epoch 77: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 6/6 [00:02<00:00,  2.18it/s, loss=0.0208]\n",
-                        "Epoch 78: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 6/6 [00:02<00:00,  2.18it/s, loss=0.0192]\n",
-                        "Epoch 79: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 6/6 [00:02<00:00,  2.01it/s, loss=0.0257]\n",
-                        "Epoch 80: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 6/6 [00:02<00:00,  2.11it/s, loss=0.0226]\n",
-                        "Epoch 81: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 6/6 [00:02<00:00,  2.07it/s, loss=0.0226]\n",
-                        "Epoch 82: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 6/6 [00:02<00:00,  2.10it/s, loss=0.0216]\n",
-                        "Epoch 83: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 6/6 [00:02<00:00,  2.03it/s, loss=0.0228]\n",
-                        "Epoch 84: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 6/6 [00:02<00:00,  2.08it/s, loss=0.0247]\n",
-                        "Epoch 85: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 6/6 [00:03<00:00,  1.99it/s, loss=0.0234]\n",
-                        "Epoch 86: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 6/6 [00:02<00:00,  2.02it/s, loss=0.022]\n",
-                        "Epoch 87: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 6/6 [00:02<00:00,  2.12it/s, loss=0.023]\n",
-                        "Epoch 88: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 6/6 [00:02<00:00,  2.01it/s, loss=0.0232]\n",
-                        "Epoch 89: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 6/6 [00:03<00:00,  1.95it/s, loss=0.021]\n",
-                        "Epoch 90: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 6/6 [00:02<00:00,  2.01it/s, loss=0.0217]\n",
-                        "Epoch 91: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 6/6 [00:02<00:00,  2.02it/s, loss=0.02]\n",
-                        "Epoch 92: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 6/6 [00:02<00:00,  2.09it/s, loss=0.0226]\n",
-                        "Epoch 93: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 6/6 [00:02<00:00,  2.07it/s, loss=0.0232]\n",
-                        "Epoch 94: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 6/6 [00:03<00:00,  1.85it/s, loss=0.02]\n",
-                        "Epoch 95: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 6/6 [00:02<00:00,  2.01it/s, loss=0.0179]\n",
-                        "Epoch 96: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 6/6 [00:02<00:00,  2.03it/s, loss=0.0225]\n",
-                        "Epoch 97: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 6/6 [00:02<00:00,  2.00it/s, loss=0.0144]\n",
-                        "Epoch 98: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 6/6 [00:02<00:00,  2.05it/s, loss=0.0214]\n",
-                        "Epoch 99: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 6/6 [00:03<00:00,  1.93it/s, loss=0.0137]\n",
-                        "100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 1000/1000 [00:09<00:00, 103.43it/s]\n"
-                    ]
-                },
-                {
-                    "data": {
-                        "image/png": 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\n",
-                        "text/plain": [
-                            "<Figure size 200x200 with 1 Axes>"
-                        ]
-                    },
-                    "metadata": {},
-                    "output_type": "display_data"
-                },
-                {
-                    "name": "stderr",
-                    "output_type": "stream",
-                    "text": [
-                        "Epoch 100: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 6/6 [00:02<00:00,  2.13it/s, loss=0.0221]\n",
-                        "Epoch 101: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 6/6 [00:02<00:00,  2.11it/s, loss=0.0137]\n",
-                        "Epoch 102: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 6/6 [00:02<00:00,  2.03it/s, loss=0.0217]\n",
-                        "Epoch 103: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 6/6 [00:02<00:00,  2.05it/s, loss=0.0199]\n",
-                        "Epoch 104: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 6/6 [00:02<00:00,  2.11it/s, loss=0.0196]\n",
-                        "Epoch 105: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 6/6 [00:03<00:00,  1.97it/s, loss=0.0167]\n",
-                        "Epoch 106: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 6/6 [00:02<00:00,  2.01it/s, loss=0.0199]\n",
-                        "Epoch 107: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 6/6 [00:03<00:00,  1.97it/s, loss=0.0201]\n",
-                        "Epoch 108: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 6/6 [00:03<00:00,  1.99it/s, loss=0.0183]\n",
-                        "Epoch 109: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 6/6 [00:02<00:00,  2.03it/s, loss=0.0213]\n",
-                        "Epoch 110: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 6/6 [00:03<00:00,  1.99it/s, loss=0.0194]\n",
-                        "Epoch 111: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 6/6 [00:03<00:00,  1.90it/s, loss=0.0198]\n",
-                        "Epoch 112: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 6/6 [00:02<00:00,  2.01it/s, loss=0.0227]\n",
-                        "Epoch 113: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 6/6 [00:02<00:00,  2.05it/s, loss=0.019]\n",
-                        "Epoch 114: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 6/6 [00:03<00:00,  1.89it/s, loss=0.0189]\n",
-                        "Epoch 115: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 6/6 [00:03<00:00,  1.93it/s, loss=0.0176]\n",
-                        "Epoch 116: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 6/6 [00:03<00:00,  1.90it/s, loss=0.0247]\n",
-                        "Epoch 117: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 6/6 [00:02<00:00,  2.05it/s, loss=0.0226]\n",
-                        "Epoch 118: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 6/6 [00:02<00:00,  2.02it/s, loss=0.0199]\n",
-                        "Epoch 119: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 6/6 [00:03<00:00,  1.84it/s, loss=0.0207]\n",
-                        "Epoch 120: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 6/6 [00:03<00:00,  1.93it/s, loss=0.017]\n",
-                        "Epoch 121: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 6/6 [00:02<00:00,  2.00it/s, loss=0.0213]\n",
-                        "Epoch 122: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 6/6 [00:03<00:00,  1.91it/s, loss=0.0204]\n",
-                        "Epoch 123: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 6/6 [00:03<00:00,  1.98it/s, loss=0.0242]\n",
-                        "Epoch 124: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 6/6 [00:03<00:00,  1.98it/s, loss=0.0196]\n",
-                        "100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 1000/1000 [00:09<00:00, 100.61it/s]\n"
-                    ]
-                },
-                {
-                    "data": {
-                        "image/png": 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CpOig2+0qm80Gc1OtVtVsNoOpkxTokn6/v0FzSNoofCV6p5qlUqkEzYWWhbPDrAEECGm+qwcFvjnoY16tViEVCRihsHzMXM+JdNdy+KHMgc83LkqpVAplc7QbcO+7WtebyIMCIRqNvKubrWw2q/F4HHatH+Ph/RiY1sFgEHw20nkEAdzXe5O35YgBWFw+Rg2j1wC6NgJ47ruiTbkGWo5N4RVCrtW9OggfDwAhcaS+LSsUp/CI2KvVqvr9fvAR9yF7ByGCZiiVSnry5MlGESu+IOkwNKFrtJOTE0na8PMIMMipwpVdXl5qsViErAVZlH6/H8CM5gGgnqMGeOVyOWjf1WrdSEXhggPb89VOxfAej5K9MgaWgNww90RTAzQ2AACkoobx8V1Wq+tyssFgEHp3VquVPv74Y/V6PfV6vTupunlUmlBam5Xlcql8Ph8oGv5GpOoFrLFZpSkq7rkolUqqVqvBdFOFDEVBO0Gj0QhVJwQgaCoA49ymE8fcq1qtho3jkbiT1QCN37NhCCicmvJqn9XqumqcKnPAxgYFhJT3x5yjb4RXr17p4uIikPZU4XQ6HX355ZcfDMLb+pV7ByELRsP48fGxTk5OtFgsQsm+t2O6efbjOXznxTWGvtjkbUm3JUkS+kwIjjCNvnBe9gUgGZcT5U4xxQGIR8BsJMw6Wgow8tMDMUDlZWhxAQZjQ6Niyt1k04AlSb1eL/S7QDfdhTyKjIm0jnaz2ayazaYODg70/PlzffLJJ4FQnU6nIejAdALCYrGoWq22YfbiL4/mQmNls1k9f/5ckkKUeXV1FczTwcHBRlULAOesG6Tf76vX6ylJEjUajQ1t5CZbUkgdck9JISjgfBw4PNeWCGD0YlXKtfr9fvDv3N8FqIxnPp+HbkPm+vXr1/r2229Vq9V0cHDwVlvFh8iDByG7NJvNBl/n8PBQR0dHoXsOasHNIf+m9tDNMmCLF1S6ji6dpPZuNvy9drsdUmNUrzjvxgLxORbX04lc710LENNLXqjh/9+mQb0AAdfCqaZtvStcEz8Xre4V5QiWJZ/P33sf885A+L7FAHzFYlGffPKJ6vW6fvSjH4Wj1/BVTk9PN3i7wWAQTsrCN2L3O+FLozy9F69evVKlUgn9zQCdPOyXX36pv/zlLzo6OgrZiDdv3oSFy2SueznYFHEkDeXBWAAEgnZzQSMSaOEOsIGcdO73+6EcDQ6Ua1YqFWUyGbXb7UCaMzaAy3zW63VVq9Xwe8bkbQHNZjNU53yI3CZ1t5fmdxaMamfOEuSYN/dppLXmIGfrZVkx2PGtWLBtm4Hro/FI8vvRITGQHHBxidk24nsb5cP7Pa0XX8tfvpDcZ1u0Hn83rh3/zX3MJElCmwDcY6FQ0MHBgSTp/Pz83iibez8kM0muTzU4PT1VpVLRp59+qqOjI52enga/JDYXHgigneIyr5jfQ+gtBtTusP/pT3/Sq1evNnpVJIXCUjRNLpfT8fGx6vX6W+cKepDgh3DCBeLDeQEDc+AngeG3udaknIxzF3kR4UsKRx9zX/xcgIzplhS6+RgDqVIYB7TveDzWv//7v+uLL7744PW+Cbz2Fpgw2ZwuEB/vK20eFilt9tbG7+H3AA2qgqDAMxyYvjdv3ui7777bIJshynH80RAcRkTmxu8fFyLEYwRgHtm7tmOhvDTN/Tm0FbQQEbWn7bAOnlZ0ky6tNSFjKBQKajQaIeDJ5/M6PT3VfD4Pp5Xdh+ztLBpOV6jX6zo7Owtm2AGAo45mQBN6FiPW0P57zy+7Q99ut0PfyfHxsbrdbtCEaIR+vx8oI0q+WESnZEg3unaMz0AEqARbvtk8ko6ruil6YL4IsHAf0HQUwPo9PePDiWWMkTw0RR5o/OVyqdevX2s4HAYKK9b8t1nnm8reGp0mk0ko0mw2myGwoMwI7SFpI+kPp0a0ui0d5X6RC1qi2+1qNBqFBSLg8cZ2zzJgOuMqbsZITaRvjriQljFyLT+F1X1DafOwdrg/yHM/4AmAeiWOE+GAkOCFhnt8Xs/iEKS9fv1a3W43JA6ch7yp3NZ12wsIvTKE07PY3fhWnPHiDn68WLEvyGJBdHNqq2cGstmsTk5OgtbN5/P67W9/G+4JRXFxcaHFYrGRHpTWWgQT6BkJFizmC90lAAj+mZjiQVPGFUGeG/aAxjfiNmqHs2m8Z9ujZ+beT4bgPncVC7xP7hWEPjk40NVqVUdHR+r1eqEzDf8EEhhgSdrwe7imTywEd6fTCWYFgHEs29OnT5XP53V2dhbu32g0AuXTbrf13//93+p2u/rmm2/CIUSSQj2hmzDn/QAaFTFoFMDlbQxorHiOyAcTRDgIARk9MbGmioHJsSe+gbEk3peNpqUix+/1oev9fbIXTZjP51Wv13VwcBAAQ6mUtEmhOGfmZ9RI6zSYAwET5eX+ZD44LpifVNYgHBVH81W5XFaj0QiaCW7P/UNpvfBoQLI9cd4Zzi72a32D+fXQ3NtMPG6DazfEKS7nUuPInDGQjXH/j8+9q+7yfXIbjlDaU2BSKpX0k5/8JFSufPXVV+Hv7GAOpCwWi+F4DcCAJgE0XrDg/ptTJl7mDtHtgct0OlW329WbN2+0XC43Fmo6ner8/FztdluFQiFUPksKlNFyuQwuQL/f13g8Dj0hfC96atCKnDjh2Renn7zpyykfvoOkoLW8pI1yN/g/7xiEtC6VShoMBup2u28FH2SnCoVCoHC2cZLfJzd9/72bY15eR8cXjakOqINt5sFTefhdkjb8NPenYoI7plC8VUDSRrO5pDAO127+d8bEGJza8ZRfHKj43ABAL+b1fDDiWZt4TpkT/77MAQQ3kS9de+7X+u9i4nxXcu8gZAIpVcd/oqLFnW6vmobeYIGZZCeKAZubAw619LwtFdIABOd8m6nEB6TDjYDGSWUWCuDir1EQ4X5ZvV7f6EtmnE6Q1+v1jQ2DxEGFbwTPC/uzU2azmV6/fq3xeKxvv/1WvV4vfPb09FTPnz8PvS/T6VQvX74MzfZcl+vcBogPsoCBCffTByRtmBJfFLQg2lLaLACgciTWLpgO3hun91hA/g/Xxj19rD4+1xbxC4mzPVRux+PxKhnfmG6CfY64L99vWzASz7NrMEj4bre7cV4OwZ+3S8TlY7vUgMjOQegTUqlUdHJyonK5rMPDw8BfYeokBV8pk8lsRMtJkujs7Gwjn+x+nXffYUp4n1cYs+geMLhPRHGr+2qZTEZnZ2ehDtHr8xDARYROIQT8I1XX/n0kBV4U0LExfHzemul0k7QONnyTMO/0reCrovGozh6NRvr88891cHCgn/zkJ6pUKvq3f/s3LZdL/cd//If+93//Nxy0xL12AcydgjDeoZxHSIWw90D44vpCsAhMamySPLhwECJoF29kiontuIeDCmXny6rVqsrlcjDNXp3ih6x7ZgYplUqBbvJIHm1OpMvYYp/Vgw44Sm8TQBwg/t2gw/gcmrfVaunNmzdarVZ69uyZqtWqPvnkk8AkxJ2G+Nt3XdiwcxC6XwHlUalUVK/XAzjQePhrBABMFmfOYJoB42g0CtkKsgzbiF8/F4b7OFg8jSUpRMqYLAIEyq4Ytzc6SWtf8OzsbMO3xA2J3QbG5yX/bqrjiBcWwL/fNp4x5i3ZJETUXBuflfrK+XyudrutcrmsP/zhD3r69Kn+67/+S59//nmY+5tqwQdD0TgIKduq1+uhbAuT6w063jHnDeNoTU9bxf6a9PbpBc6pxVoDMBMRYnp5WM9yuVSj0QjaynlKNoNrBmgkXArGRn0e1/dxOFfnIHTt7ubYSed4oR2UPi8AHWrKx+Xc7Hw+D9/7N7/5jX73u9+p1+vp//7v/8JYbmOKHwRZjZZoNpuhYFXSBi3D7mZiAaFHi2gfFo+FZhLjhZU2F8HLvubz9UlWNCZ5lM7z8OjIIztCEQPm2LWpLzbcprchON2BVvJAw1kBBxgb08us+JsXpvq8AVanuAAP3KsD3q+ZyWRCXh1u9uzsTP/6r/+qV69e6e9///utgPggeEIW6uTkRL///e/DkRY4zGid1Wp9qhSTBimM4+5A4+GKnLsnrSttPNpGQ/E3auVarZZGo5GOjo5ULpfDMRt8Zjwe69WrVxtBzsHBgarVqobDoXq93gZFEwOK8VGwy98w5x5QxRso5v34OyBiI8X5Xcy1pwwZG8DBt6aq3VtT8YXJmS8W18fi/exnP9PPfvYz/ed//qdevHjxVq77LmQnIGQSMaOk0Dxi9YmOKQyABUntnBf8IakmjxJdnGtEm1FEwFiurq4kbZ43QxGEm78kSUK5O34i72PM+HdoP58HtEz8f58T/+mkN78j9SgpnDbG32Iwe4TsP5lX3B/Xrsy1F03M53P1ej0NBgO12+1wj9tW1Xyf3BiEtwnPAd+TJ09Cjpgv5VrDFyzOEa9WK11dXSmbvX6yOuaXQMMJYydr3USuVtd9KZeXl6pUKjo7O9NyuQynDXz22Wc6Pz8PTVaMJ64mkRTqEA8ODnR4eKh+v683b95IUhgfD1RkHJg7TDRUCoQ338k5UiJY5kdSINLJdTOXi8UidNB55AsofTMQvAFEHiruvif1nVBNw+FQf/zjH/XZZ59tFM/eNDreq0+IY06BKmYWbs/JWYAdawAHuwNrW0WJtFk9QjQqrZuOPEGPn+mEMIsKCOOuNe7jC+Bcn1d9xxGwtC4+4HpeReMRLd/X58VpHfcffVwu7l/6NREn5+NoGxcAWgc/OdauN5E79wlvooIxSQcHByqXy6GFc7lcqtPpBL6MvKqk4CPC0bkTHjvN7G7Xom5WXDNSi4j/tlwudXl5qVwuFzRfkiT69NNP1W631el0QlbB+5Q7nY7m83kITHq9XtBqT58+VTabDaT7cnldFV2tVkMkKl27FVdXVxugQZPXarVwHAfpSTYr4IuP+HAyO36RtpPWZ2p7OtI3OxRVqVTS0dFRcHHoxebIvnq9HsDooH2f7CVtF0dzmEwCCDShP6LBgwjfaX7yqX8h1zDbfKwYjNlsNpgxDhRHC7FZKGJttVqBLwQsztHRXM6iEnigVZNkXXYvbRYZEDAALgeaE/BsRhY6jnhd+8WV5dL6sKW4wAEwu2bm/cy9U2CMF9C51t5FGu9OzTELjxrPZDIhUqRolMXlzBi+GD4HKSy0CjxfXOLEGSzvepXL5cAPElmyABwN/O2336rdbuvvf/+7vvnmmxDNUkTA4jgIGYtH7f49ILIpAOD7ssh07/EZ5+YYK6X/MAfOnfIeQO2tnx7s+Hji4ltScYxvNpup0WhouVwG5uCvf/2rrq6uQpC2LRt1Z7i5qwu5NvLig5gvY1KHw+FGDzE73r8kXCKAA0TOnbmJcbMNOY7mymTWFdp04rVaLbVaLb169UovX77U8fGxms1mACNZhLg9gH8DrNFotOGjEgS42eSzPKXJH7DoR/UCTMDtppa0mQM0zhD5Pd30x2lNP26Y2kwCOYKui4uLsHbuH98GEzeROwMhk+cD8AgtDg5IFXl5FuByc8XC+bEf+C6YfRfG0O12g0+DyfFsBP7e+fm5lstlIGchqzlnBvH7AExoGxbQaSYHjM8NJjd+cT2/DuLuC9fx3LBvYIh8OFnG4xqWHD6g5aE+fC8KZzlumTXzbMtNMXET2RkIPbCQ1k4wZtpr5+IyciYHcEKuOnnLTgccTI6X2DNxUD6elyVPen5+rnw+r8PDQy2Xy5BGHAwGymQyOj4+Ds3nvpiSQlO9l+ejCRmTa7vVahXOu242mxvnVxO8eTTOvMTnHUrrYgKCDjQrWaDpdKpWq6UkScJjyrAE5XI59NugJDC7RMXwu2xkdwfuWu7UJ3RqQVLgzvhyXu0b1xV6uo5XXMDqdXbub6HdpHWKznuBnZtks8zn82B2CaKQ+XweFu7k5OSth/xwT3p9+Rv+LCaf9/Ly6BiymXnxFk6PQP3/bm7dp2Q8gJmzF7E27kt6AS9ak3GiJBhLtVrdcBsevE+IOL1RqVR0eHgYNIb7R2gWAMROJE+MBoTO8UZtJhOn2iNCTv93zew5ZBZpMpmoXq/r6dOnQdNxX2ldAtZsNpXP53V1dRWeA0K60NNjaGgCmbjMDNBRiMvxJACMY+4kvQUwL+p1n5cxLBaLsJEw67lcLvS3uFuAxvXnomA58NUBcKVSCe+9jRmW9lxFA6+FX+I1fD4wN6uuxZwH9AQ71yCy3FYtw/2d2OV3/pN7YHLc3/TAw6kg5ykpkgUcMdnuY4jH4uNAnHxnfAQMAMdTczERHc+vU1q4QV7M4PMvrdtCoaNWq1XwzTHFu6BmkJ1kTFqtlvr9vi4vL3V4eLgxQR4p4pCz89CCnm3xiNvJahbFiwjQqGgPNKKb5dVqFaLtg4ODt3Ys70Gj05/C/ekRccoDLcfY+J78TJIkHHMC4Ny18MjavxN+YHxgPPfyKhrnST1bFAOMucZ3zOfzury81J/+9KcNGovNiGnfpewEhJgfWgohdqXNhXJN4cD0TAhAcrC4ZnQt5ybDzb/fyyeUBYt9Wd/1Tu/ElSu8CFjisW7THj6+bZoc2aaFtwUG2z7r9/I8M9d1VgFw4qLE97/rKuptspOj4ZgYotpf/OIX+vTTT1UsFsMDAYkWnYgm54ymAoxojXq9vvF+P0oYIKOpcKY9D0zVNiQsZxG69oOjg1u7uLjQaDQKJC5ArtVqOj09Ddokjlzdt4TXk7TxZFH4OSgRKp8BqhfRJkkSwIL4hiITRXTLshLpSwrPQqbe8cWLF/rrX/8aijygdbAi0oc3O93kszsr5ZIUzv07PDwMvQsQyCTFY5qCQbOL3TzhYLtJ9soQBy2Lz0S4piS4cDPovhv3pCK61+up2+2GPDfRPod68pk4CndgolE80+MRrWvtmOry7w/AGLvzqsg2fzSTWffJsKkXi4Wurq6CWfe122YVdiU7M8eZTEaNRiMQoZ999pk++ugjHR8fh0lzh9srgH2HOwiJBEnvkTYDnE7bSOsiVrQlC899Ab9Xd9OJhv9EMevh4eF7D5+Mn2/si4dJdLB7NgRt59kMrgN1wlxwnC9RrD94xzMrfM4DGuap2+2GQ59Go1EwyU4lfajsNTpGVquVDg4OdHR0pDdv3uhvf/vbRolWDDZPRUnrjAATSk4ashWT6Y+A5bO83ykZT7m5+UZjAkrO5IOW8FZNovN8Pq9Op6Ovv/5aq9UqHGIJyOlZ4XvyfeKfaDMCFEDgDVRsWO7Dmd7+3JJY6zrr4JEyoO50Oup0Omq32xtHJe86AHmX7LS8n9ML8Hmm06levHgRFp7oy3cfYHSt5kx/LpcL6TJPC7JYXAufC3DhhxJoeL4aQK9WqzAeNBUbg0WGh0ySJGQd0EgAH4AjTjNJaxprNpsF8+ji34l5g/aCPGaMzK+nNrme00bz+Vxff/11yBTxCAznNPclO9WEOPLkK4fDob744gsVi0UdHh4Ghx7tAgGLaQQYfnJ9JpMJJ2d5VgVNBIg4ERU6hGjdq5AxRUTvw+EwkLa8+D8gQssmyfr5JSxinMd2Teu0knR9ljan1fI0Acw8WsyPhkM7YxnYrK1WKxDvZIDYCPh9mcx1V+Of//xnXV1dBcrnfVH8fcpONSE+CIvuqTEm2oMNfDnSd85/OXcXmykWznPH+EYcs0s0TLDhyfrZbBY2gKf2ENcozgOiRQmupLVfx4vvxe8hfzHDrjEBaRwl+/09debcIvPLqWDMq9dE8r3jdOa+ZacgxBlvNBqBXvGTplardWWHLzzOOt1lVNqQm/UiS96PT8NZKwB0MBio0+kEs+4mDGFDcGAm9wZEmEU0trTuOSmVSnr+/LlKpZIuLy+Dq8DY8A8Zn2t03Asn1enNyWQywWfLZtdP7MTXxKWgOINTLf72t7/pyy+/DIWpPhb/6RzrvmXnmjBOfAPEbYf+IDFJi7ip5nqe7PcUFcBC8/jv4uDH890+Zu6Fy8AG4DEOAAI/08+CZoxxygvT7icv8DlOJ8PXxIclcIipILQbVePS+sE7BC2I59cfmuxcE7Kg/X5fz58/1y9/+cuNHhMcY7RMnKPFT5IUfDSCg9gMAyhps6CAc1XQboVCIUSJTv7OZjP1ej3N53N1Oh1lMtelXO7r0cjPkWuIF97in7Eh0OYeGdfrddXrdbVaLZ2fn6vT6ejFixfK5XJ68uRJ8FPRiLSt4udSYnV5eRkqcfD9AKRL7GLsWuKI/X2y8+Z3tAsRHbQKGs4rkP3lJK1rriRJgrZxH8vpHWmzZ9eb38nj4s/xHvfpvNNO2uxpppoHDnK5vC6JL5VKwbx6ub9f30ls34hoMlpcpfUhSoVCIZDlzB1kP5vG6amHYmKlB3QCAz8BDERs/B78HqI+AgbPEwMcEu2UMnmECZ3jESbPbfNHPTgv6HwjUiqVtFgs9PLlS0kKT3RCuyZJEs6mHg6HyuVy4USHi4uLkKGgFOzw8HAjU0LQlMtdP0uFIzrm8+tTEJJk3VtDYOWkM5vPe7kfkql9EGT1NkHLvGuARJKYDt7rJDM+FFzbaDQKz2jjb54v5gg615auGUklYi692HO1WoVAp1KphKgVzTiZTDaOBQFEbCKqsimVJ7iBH/XiUQpQl8tlSGkC2Ps0o/uQewXhcDjUN998E55dAgigGOIWTwQqAr/HU15oPo708EMdEXjCOMeMNuSaFILiNgAyNsFisdCrV6/U7Xb11VdfBX+Pl5Pl0nVX39dff61SqaROpxMe48V3ZtNARtfr9fBwISJ93JWbmLbHaIqlewbhaDTSy5cvVavVgg8lrX0mb9HclkJyasY5MC/G9C4+D3A8SPB8NOTvfD4PhzBBdk8mE3U6HUkK0W+n01G/31er1drK9zkI+/2+Li4ulM/ng994dnYWjsYrFosajUaBRKeymuADcD4kOmUXcu/mmCzKq1evQmkXdI2XP22beMDp/iI9tSy++5BkK/wB2lzHgw9MH6ZQWpPRXIssDaABONs2S1zFzPXIcAwGA7VarZDhIRUHx8h3p4jihwxA6Z5BiCbp9Xpqt9vB/Dl9US6XVavVNigFwAPYIH85RWGxWIRo0SuD0Sg8PBF/DK7OWyCJajl9Cv8UMHuPCZkHr/rxoggAFfODy+VSL1++DByet1NCXkubPSZxRc5jkgdB0WwTj5Tx6aR1yyGRLybTKRbXLETKHl0TDUPDQGc46cxP14oOIv7v9A3Agjh2AHr2gVMkvLeG8cXfk+DF6Sc+49f+oQNQ2hMI3ayS43369Gngy8bjsarVqp4/f658Ph+e60HQQUWMl2M5/7hYLILP1el0dHl5uXFCmLeFSpvFooDKgyHKyEj3eWAkrRuK2u120LSxmfaHejMPsQDUH4IP+KBBGAvaDb7NS9jjo0JcE0qbC4lP55XP0vpJ6F4eFRcNeBkZJt0LTOOj4lxzOmDe57/dBlSPHYC3lRv3mLBwu5ogDpgkk+DmmHzzL37xC52enoanNHFAEcAYj8f6/PPP1W63N/pW8B1//vOfB025XC6Db0dR6vn5uf7yl79s5KeJwjkexIOgfzaw3EacLfg+2bsmRMh5ck4KJtJTXM+ePdPR0ZGk9SHlfFlomk6nEzIOSXJ9TiGPrQA03ofrpU1+YHqcBtumBVN5t9wmd7yTbrsPEffDSKk9efJE5XJZv/nNb/TkyZPgN2I+Kc+icrvf7wfQ0F3mZhgweWQKDRMfZsmYPFBIAfj94ozG98mD0YQIUSb1faVSSScnJ2o0Gmo0GiqXyxu+H3lVql+ovOHvAK/f7+u7775LAfQA5cGBEHGf7cWLFyGy5WxBHnhzcXGxUbovvf14LYIKihIeO//2Q5MHDULq4jqdTkjD+WNjW62Wvv7669AELyk0v/txwdA55XI5VNP80IsCHpM8WBDGMp9fP4nJ6RWeXulpPHhE/s/fnJ/cV2tjKtvlwQUm7xMvl/IaOv8KHLNBBBxLaoJ3L56RelQUzU1kmxaLQeWtACngHoc8KhDeRFJfb/9y281/40OIH4I5TuXxyG3YhxtrwtS0pXIbeVQFDKn8MOU2INzNMwFS+aeX21jOFISp7ExuCsQUhKnsXVKfMJWdSGqOU3lUkmrCVHYiaXScyqOSVBOmshNJNWEqj0pSEKayd0lBmMreJfUJU9mJpDzhA5K0BO77ZWcgTCc/lZvKP2yOY5C5+vUeg/hvd32vbe/x5vXb3jvuWYmvs21z+XtuMrb4b++6Z/yZ911729/86Ja7rAe9ydz+oMyxH3p528986D13fc2b/v0m9/6Q6+9b0srqVPYuD14TpvLDlxSEqexdUhCmsndJQZjK3iUFYSp7lxSEqexdUhCmsndJQZjK3iUFYSp7l/8Hht4tucQPqNoAAAAASUVORK5CYII=\n",
-                        "text/plain": [
-                            "<Figure size 200x200 with 1 Axes>"
-                        ]
-                    },
-                    "metadata": {},
-                    "output_type": "display_data"
-                },
-                {
-                    "name": "stderr",
-                    "output_type": "stream",
-                    "text": [
-                        "Epoch 125: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 6/6 [00:02<00:00,  2.11it/s, loss=0.0176]\n",
-                        "Epoch 126: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 6/6 [00:02<00:00,  2.10it/s, loss=0.02]\n",
-                        "Epoch 127: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 6/6 [00:02<00:00,  2.01it/s, loss=0.0246]\n",
-                        "Epoch 128: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 6/6 [00:02<00:00,  2.16it/s, loss=0.0189]\n",
-                        "Epoch 129: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 6/6 [00:03<00:00,  1.99it/s, loss=0.0174]\n",
-                        "Epoch 130: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 6/6 [00:03<00:00,  1.99it/s, loss=0.0165]\n",
-                        "Epoch 131: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 6/6 [00:03<00:00,  1.95it/s, loss=0.0229]\n",
-                        "Epoch 132: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 6/6 [00:03<00:00,  1.89it/s, loss=0.0174]\n",
-                        "Epoch 133: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 6/6 [00:03<00:00,  1.79it/s, loss=0.0172]\n",
-                        "Epoch 134: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 6/6 [00:02<00:00,  2.04it/s, loss=0.0193]\n",
-                        "Epoch 135: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 6/6 [00:03<00:00,  1.94it/s, loss=0.018]\n",
-                        "Epoch 136: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 6/6 [00:03<00:00,  1.87it/s, loss=0.02]\n",
-                        "Epoch 137: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 6/6 [00:03<00:00,  1.87it/s, loss=0.022]\n",
-                        "Epoch 138: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 6/6 [00:02<00:00,  2.13it/s, loss=0.0204]\n",
-                        "Epoch 139: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 6/6 [00:03<00:00,  1.94it/s, loss=0.0192]\n",
-                        "Epoch 140: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 6/6 [00:03<00:00,  1.88it/s, loss=0.0184]\n",
-                        "Epoch 141: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 6/6 [00:03<00:00,  1.92it/s, loss=0.0175]\n",
-                        "Epoch 142: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 6/6 [00:03<00:00,  1.80it/s, loss=0.0198]\n",
-                        "Epoch 143: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 6/6 [00:03<00:00,  1.88it/s, loss=0.0166]\n",
-                        "Epoch 144: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 6/6 [00:03<00:00,  1.94it/s, loss=0.0237]\n",
-                        "Epoch 145: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 6/6 [00:03<00:00,  1.83it/s, loss=0.0195]\n",
-                        "Epoch 146: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 6/6 [00:03<00:00,  1.94it/s, loss=0.0171]\n",
-                        "Epoch 147: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 6/6 [00:03<00:00,  1.96it/s, loss=0.0187]\n",
-                        "Epoch 148: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 6/6 [00:03<00:00,  1.88it/s, loss=0.0161]\n",
-                        "Epoch 149: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 6/6 [00:03<00:00,  1.93it/s, loss=0.022]\n",
-                        "100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 1000/1000 [00:10<00:00, 95.66it/s]\n"
-                    ]
-                },
-                {
-                    "data": {
-                        "image/png": 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EqkelXvMnLbTmsggRbUcFNMdwXSefCV684gRxU804XBtRNMG4oIh8MTkguAeAyud5OwCgdq6SaziV5KS6+7v4jFR8e9O9A9xbV50Mh3jn+Gw2qwcPHmhvb0+ZTCak+PxaH0rXxV2D25ArmWOalRDXSMj7NBrffaL8b4j7e84/SudnGXziOY7/eTsogHPT5+I+XXxs8e9e5MDvPp64JvSFS2C2zIf0z4xfm+/QS4AbhoBzlmVXNoXGWRmEcZP75MkTPX/+XIlEIhSWlsvlkHpD0HKAYjAYRBL6aBzoCHw2Ijw3S34e12bi0IAc69wfGtVNoAcjnonhXr2x3TWip+g8w4HGTiaTarfb6na7oRBiOp2GIIGFi5amsMI1OO2m8baGXC4X/oemp+j22bNnqtVq+v777/X3v/9dx8fHkdI4npd/P09uG5gXBiE/VyoVPX78WJ1OR6enp+8MPO6Ms2uCm0QepEefTt4CBAKbOEcXL/HyazpJ7TSPm5t4hsGLKOJZElwOB6KP2cFI85NHy5hajmEB4dJIi6wPWRB8VUBIsxbX8NTm3t6e9vf39e233+qHH34IC/+m03nXoU0vbI6dJ8OU+YPEZHJsXHjAnlWYz+eBC6Pq2pvCnYJxAVzLAOEZGcwd2taLYwHqMg3r94zZd+3plE6cdtrd3Q3FCYANLee0Vrfb1cnJSeiVTqVSIaPj42HcPk5JqtVqmk6n+vbbb9VqtfTvf/877FhxG3IdAL+UJnSKYhkIPcXlg0WjoBGkRSlXpVLRzs6Oms1maKEcj8eRa8QjacDGdRibO/5uguJBC+dBPDMWD6DcB3Pguhn3WkQIboDEGOipAYRot5OTEx0eHoauQMh4fDwSAh6k8YzxAcfjsb7//nv985//jJD+HwpCLivXTeOsDEKfZGkRHcPkuwb0ifIHsEybuVbxYgHXtq6ZuF48gODaHgARrXItSu3jTru7Bfi0fI4/aICIifWKHx8D7gecIdeNUybJZDJUHXGO+700V8E/+oKg3bTZbKrX66nRaIT7iYPuqmC56QBmZRC6RuGhejfYcDhUvV4PhQvLIjKP2hyo+D2k0fwzkslFYalr17ipd7BhGgEukxjvRyEA4TO8iclrGz3V5sUEnn7DXHu1kN836Uo/FrNdLpcDeGazmXq9nkajkV6/fq1erxcqwJ2qajQaajab+sc//qF6vR7y4f5cV+EIL6PVrhuQl/YJyXm6+fICU38gcULVKQ9uys/nOF/9q3JXHlwso0qkKOXj50Db8Dc4SSeyMaVOAXF9qB+nWTwKj4s/IzftrVYrgBiti583m80ihQv5fF7FYjFSsHDTwch1y4VA6BFqv9/X8fFx0Fg0fUsKPRJoCY9QvdnIwUtRgaSw6kmHEaigYZeR1PyMS0CxA328UEUeKQM4J53R0miz4+NjDYfDUCBA4YRrR78P/D+vqIaC8kVI0ERhLc+g2+3ql19+0Xg81v7+fmQzUGnhjxOtf/XVVxqNRvrXv/6lw8PDd1wXnst5sgpYbxrQlwpMpDN/pd1uB17PKzbczDqh6ubPy604xwHrvpdrxQ9pxLjfFY9k+ZsDxI9zU+Zaxe8JoMbTZ37/LsvIZg/g+Jnf+U5GxfPa8ecc/xy3PndFLqwJpbObff36tRqNhmq1mvb39yM+FxXR/kDRZOzE+ujRoxDceNoLH8oDIPb987Kw4XAYKd2PF5RCeVCcwJZw0qJEinvyaDPOv+3u7r4TdMV3+8I39ufkNZNQRFw7np3heJ7fw4cPJUlPnz5VpVJRq9UKGz651u73+/rxxx/VarVUr9cjgd1Ha46R+fyssoUiTG9WkhQp2JzP52GHVU9NxX1F92PiGs9LwBw00qJ6xrUnwUGcboGGwfS7+Y2n1RA0Nn6YpIj2YvzxYo74fXCOuyHx58ACpG6wVCqpVCqFe/VyLgp/W62WTk9PI7u73jW5EAh94rLZrEqlUgAgqTLnECnHJ1sC0NLpdABmp9PRcDgM5VVe0UJGg4frgQs+H+Xt8Ql3LSydLQx8QyaQMis/DtDBx/mrJ9CC8X4W/DueEUBxTQ04fB9uP4frzeeLncWI6vf29vTw4cOQcTo9PdUPP/ygZrMZeks8+LppSuW65cKa0Pk0HHBPO/GAoSXK5XIAYbyZB61EpiC+x4ubHv+SFs3sACGetnO/jrExSYAZben+qPeq8Hdvr2RcvvcNi8A/i1ZXFobfi4PPfVN+puiWz+A5st8h31utVtDQcS2+KhBXCV7Ou9Z1kdaXpmh8YER7AIKc6Wg0ClvrAgJ8OvogmGBWvnT+th+YPAcZfpU79WgwKIxKpRIyEn4eIPDiW6dxvAQfV4Ko3SkZgiYPYBg7oPZWBe7B2w4Qj6B5NuTb3759q5cvX+rNmzd6/fp1IKyXBSirylUAdF3a9sIgdL+HQZBigpbggQ+HQ3W73aWR9Zs3bzQej0NlNRkN5x+9k05SuC4T6E3xAALw8XuxWNSjR4/U7Xb19u3bSIAhKQRUdPjxd08rTiaT0NdSq9VUKpVCtsJB7C0H3DMZj2KxGFKciUQibDGM9eCzPTXnLQ/T6VSvXr3Sd999p3q9rpcvX77Tjej3dZfkwiB0n8OpDmlRBYIv1+/3NR6Pg+/Isfl8PviE8RZK14KuqeLOvwcUlEqhrfD3yM1Op2d7Hdbr9WAOfWHgBpDR8fPJ8eI2eGDBbhKk6BBfpNBSvV4vAD6ZTKrf7wfe0s/lf67xERiJbrcbeUb+812US6Xt4lEYPiHBB6Q1EXS1WtXDhw+Doz6dnm29gYmERmm32xF/DFqHLXud5AasaM56vR4IYUmhJ+Pw8DBC1VCl4huTQxvl83k9fPhQ3W5X//nPf9Tv94MGhCY5PT0NQcTOzk6Ey4x327FQ2FpYUihsYE9CugMdjLysp91uazgc6uTkRM1mM7IHNlrT+cy4XFeAsjFkNcLqxldip4R4cCAt8qZubjxClhTq7DiPyZjNZpF9CflsxB1590c9+iwWixHOkvFxTDyCxgTSfNTv90O2BiA7x+fNUj5+Txt645OnLuFHuUe+uA5k9Xw+D3vQ0KZAYHUe+Hyu7oJcCoQk2aErhsNh6Dv2Hgt25Mpms+p0OhEaxcuU+N2LRb28im3lPPPiVTxU8hBJkvZLpVJqNBqR9OJoNArakVeE4Sp0u131ej21Wi39/PPP6vf7arfbwewmEonA3VWrVT169EiJRCLwjk67+EJwXhBzzMt1PGsinfmobJLpFemTyUTfffedfvrpp3cWo3//EPDi2nGZtrxtiufSZDVfZCYkBXPERBCs4FgjvvI5FuAwMWg3L0jgsxGPdPlcau/8hTb4Xh6xSwrtp9KicBXtjkZE6zAetFKhUAgLyAs3PNqNbyvi2SCng7zO0V/gwzHcd6VSUaFQeG9j+4fAuInacWUQYiq4CV4FAZhms5kajUYo6CwWiyHpT0DBqnazA3gAjvcAE/0xcTx83h2HpvMItV6vh2v5JkLSYoJ2d3dVq9VULBbDBp3wnXCP9AB//vnnoSOOQlnGA8ilM5D5xpbz+fwdf8/dEkrXEPbf9gia58q4//jHP+qzzz7TL7/8or/+9a+BunFC/6Ky7JzbBuqlu+3ImMSrSKRFGToTFtdkaABpUZnDw5fezXjEc61Eu34+E80O+/5OZP/sVCoV+jQIfAAsG3sOh8Mwlr29vbDgaDJijFAogJEFxfi9xcDfceL8o6cb401M8VK2vb09PX78WOl0Wn/7298i/Tp3WS5cWY24uRqNRqpWq/rd734XtqGgX8QnJ54VISXFbl6uKZweaTQawRdEu9FIhDbm3Eajodlspp2dnbDFHFExZo6JJ0DixdxeJf7o0SNNJhPdv38/cHzODMR9OO7J/++FGADv5OQkUr6Vz+dVKBRC1Ms15/N58LvJkrCoDw4OIpU1/v0uyqU1IcQw+czd3V198803qlQqYTJ4qbVHsTxg2jF9l1TfxdW5OYIDzC4ZFyfIJYXaQdcQNNXjm+KDAtxUKhVeb4YZn81mYe/Ce/fuBV4zXhAhKaJZ/R3GaF3GwfM6PT1Vr9eL8KHZbDb4qiy02ezs1WbD4VCHh4dqNBrBvLdarXdI99uU60rXIZcCYTKZ1KNHj/Tll1+q2+3q9PRUe3t7wdz4O4eZMCbfsx8ECmgBtCNcokfDfuPFYjG8hIZdrwAuWrVUKgWflCJbqlPiBC9+qBcWsDBInzm4vYDDzS953Lj7gatCewALEfpFWtA5MA/0kVAd4xrcv9YBwuv+zEvljjOZjL7++mv96U9/0tHRkV6+fBmS7pPJ2TZtXjUjLXKxJPZxwskchAH9X7u5zyVFA6OdnR1Vq9V3nHiuPxgMQnrNOUQmjXemoNk8wqdi+dGjR6HUHg1Wr9dDEW+lUtHu7m74XEAzGAxCVOx9M2RbHjx4EGm0YgG42W6328EC4JLg0rhFcdL+MvO4jOpZB6ivlDv2iMwT9zxk0nbwiXCK7lt58BFPd3k6LU7Mon3Y2cA1LvQMgPK9EKF//BwyN25uAQ/aiKJX3zIE6idetcN9eImX7xDmz8vPc1PPuQQtPA8oGsq+lkXFq/B8m+RDrgxC3zUVIrXVaoXVD2mbzWbDbqI///yzWq1WuGHoFTSJJ/v9Ten4U7wNkyCFrAW+KI3jXDeVSunZs2dBU1KR7YDnXtjxFQ3GO+hcptNpSAcWCoXwCjNAdnp6Gsmd4zdyP9445e4I5hkXxCvGqdQh0gfk0+k0vBEhmTxrFcW6XEdwsk5QXognTCTOtv+AS0PD+YpGq8VXvX9hAnHCvSDCo0vXLGgEv577SWg8T515as+LZXH88T3jNId/vhR9T4kXXCybfAep/83rE13j+T17gxLjdErL91b8GKgZ5EKNToVCQX/+85/1xRdfhNepegEC1TNMCq2ITABpukQiEV5qvbe3F5p5MDOJRCLsUu/aEooCXw8aJplMhneBkPRnsthLm7IyaVFw4ZkQ/Esqwev1eigFkxZFsc5nSovAZj5fvFlUUggoADmgiy9aD0jiLQbwhlQc4YeSbqTQ4aZlFfN+lVTfhXzCZDKp+/fv6ze/+Y0ODg5CYaprDteGTtJ6gEK6L14K5lrCCWkPPqSFOZ3P52Ej9p2dnUD9OEXjxapcDxCiET0HHS8+RbsOBoNQshXXyE5O+31gYhm7l4Gh4d2HjAcKnk+Hd+RvXHsTMh5XlZVBSJnU69evlclkwvZn0A5ok0QioXa7LUkRn4YqYtcibordlOL38UJt/B+qiFOpVHi3B9H0vXv3grYcjUYhdQhIEomzd64wlvl8rt3d3VARhCmkE48CA1KHrrHIORNte6uCtxH49r4UJWBqPRW5bHHweZJCinA+n6ter4eI/X3tn9cpq1z7Kp+/Mgjh/RqNht6+fRv8QfeX0FRUlbg/5lyXn4N4CRdAgbrBhHvRqk8oKS80xWQyCS9sHAwGoUgUTYQZY3sNyra4RwILDxoYoy8oHj5jjjd09Xo9NZvNkBVhEboPy/FSFHzu26L52Bc8TnavKuukYd4nK4PQiz95vxrakZtrt9vBx3LHmcqTeBDhhQ1Mph+Dj4XWQxtQjIpPiC8Xd+RJ1/GaCXpMSPVB4cS3H6bAgMkCfDRpxf/uZfoevLAo/V69LIzrkONGi3It7vPg4EBHR0dhl4tWqxWpSlpVNg18yIUoGq9ApkdCWuw9zXG1Wi2ybyDZCiaZAMW1ExNJQQEg5FivrKaMCvB55Iw2RVPncrmQdoMoJxfMQmk2m5GX5QA4tLlfk/uVFj6hk+oELrgnbmIlRVpG/dnGOUoWST6fV71e148//hhqIN19uAm5SpBxGblQdOyUB6VHOMiAxsHimiEexaH9AJyXrMOT8VlMKNdlcty8uenCx4yT4PyMZuJhwwFSUe2ugF/fo1hJEZ/MAycfuxc+eNDlroz0Lt0znU5DKwENYbPZLPSXrNsHvE65MAiRWq2m3d1d9ft9tVotpdNplUqlMMkeWXoUiC/FNh6QyqTOALi0aArHn+JaxWIxkLbuG3J9/x0TxoQzLu8F2d3dVaVS0dHRkRqNRshnSwoBBZqdnhPGAyD8vh3skkIjlre4+qvTeCYeOY/HYx0cHAQS/sGDB5rP5+HdJLchF9GIt0LROM0Q14oelEjvbpIpKaS94sFInEpxM+kpKdeqTpF4hsLH6NrHS+j9HL5YAPSUkPPlf4yfReHpuLgG9MDrPBIb0OKGSAv+kPy3l3XFzf9taarb+pyVQegmjElmYvi7V5C4eXFtgQ/H70wGFTGA0NskiY7Z8UFadPahTXhzAGOC1wNg3scsKWLK3759q6OjIx0dHennn38O94RpdxcjlUqFcjUn5T37gxDwEGT4/zqdTihVc/pqNBrp+PhYs9lZTWQul1Oj0QjlbOdxg+uWW6FoECbTtR/f8cE8AEFcazIZrvF8Er06JH5zTvgSzBBRSguN4hXM8WoT/5mMhPeTAELG5o327uPGtZVrRZ6Fj9t9Vq6z7D5ZXGh9ryjaRABeVRLzFe+K17w+f/5c9+7d08OHD8Ney06xSAvT49vcYmopq4pvFOSOO1Eyn7mzsxOCFchsNGWj0VA6nVatVgsc4Xw+D30j3mPCZHMMlcv4cRRELIuOS6WS8vl8pAnegepA8s9h0XozGBkgWAUvUB0Oh4GH5TqvXr3SyclJeI3sXZJV4LWyJmTi6FSrVCphvz930OMfTHTrpUzOobnm4jtbZ2BiATWajfIwyGCvVGGcgMQ5PNdSlGkNBoPQP8LYAbibPrhOp6V8I6jzSrK4V1wB+lG8B8YBKy3IeWotydOf12F31+VCGZP5fK7j4+NQXt5ut1Wr1SIbXrrD79wdnB+cGHxXfAI5fjabhXpEaZHnRVtQytVsNpXL5VSr1SI0SrvdDo3vUrRyGd+KrdWGw2HYNs5NIaYa/ze++RBA41iKJ4i+Pdjw/LgT0h6pU75WrVZDjaPv63gbxQrrkAttAzKdToMmxPmX9A4I45Ggc31UqUAQe66VYgLyy14u7yk9tEOv1wvgkRSJSIlycQE8YmViyX+PRiP1er1QdcO1/B58wZznywJmCH20ugdh7qfCk3J/cIqVSiVUJHm53MfoD0pXaHTCXEpnkR7ayFc2G2CGD/s/IDCHri2lKHUBWKRFkzr+FDsj0G7pxbC+7wykMybbX8Hg9YUcm8lkgo/oFTHSuzWFLIb5fB4IZMylUzZxccoKzRbf/5Dyfva/8aj+Y5RLvWBRUsgypFIpnZ6ehlo3UlaSdHR0pNPT0xB98j/XHt4WCTVDhTK5XjTu/v6+yuVyCCBIBzrtw0ZISLvdDr0hvA3Agw7KtIj4fZdUNJTTMxxDyZjnpNH6y7Inca4PFoHFBiBHo1HoUjw9PQ0v0+b53GZK7bY+68LbBSP9fl+NRkOVSiXsNIXpxBmnI42sAJkCwMaEolk8wvbP8pImp0Kc8KWYgkDE/++cJuLXIECgmILz4hRUXPw+nWrhfD+O+8f9iPt4+Kq4KLgi8a2AP0aTfOGt4RBeb//VV1/p+fPnSiaToYqGrdd2dnZUq9XCufhe/E6qL5fLhYfu0SVA8TdH8R1ti0lsNBpKJhe9v16r6KaO3LQUbSbycinP9uBexK9FEOEVQ15PiLuBAGSCDS9J47Mh2Ckt63Q6keryjxGA0hWb3+HT0DxoNy/bWpagRwMw6e9b7W7KfBNzF8axrCwsPnEeJPi4ONbNqYMI7eUNSfiLXlu4bPzcq1MxLDTnGvFNfZGtMyK+LdBfGoQMsNvt6vXr10FjwAnO5/PQjpnP5yM+lkeJv/76q5LJZKiEBpRx3nE2m+nk5CR09BHFci1eMEiE7psqubi/5vQQ/8N18Fw0tBDENz5gPBBBy/EMHIAEUnHfEXeAvpZMJqMnT55oMpnoxYsXl52eOyWXBqG02FSy0+kEAHqjNw+cGrtlWgmn3MEb9w8lhQCFPbCdSvFaP49ePQiI+3We/nPxQGSZOWeR+Lnu73k0zfiI1r0G0K8PoKlI9z7pT0FWTtu5aXJh2zSnMKrVqnK5nJ48eaKdnZ2wqxUBhLQwYUyoR7lErGg3fEIA6xQKpDB9w9VqNdJT7GAGYPhxuAGAY5njj/mG5+z3+2EhOKk+n8/DMRQAx0uzpEXmyXdmgPM8OTkJ9zubzfTy5cvQr3NX5VrTducJO0zxgclkMuwRSNVL/NWsmCBp4YtRwkSOWVJEM0B04/d5FkJSxKTi6EuKkMBejsWXE+UeFJ1XWIAm5HwCCrS51xMyLqqH/DoEMezlMxgM1Gw2w3OAh/wU5MogXKY5cN7RGs4dolmgapg4aAnOZWIhbxOJs64735jSdy4gsY8WAUDuhxFA8UVQRckX7QLxekG++64JaDPp7PVfHnXjNyLL8sxkhti7BrciXv/4KciVQRgXJl5SAKFrMSaXSJods8i7+k5YaDwm1IsZCEgIBsgT0+bpmo6JpXeDcQB6CG52l/XomUAKzeX8HoW6kPaM2d9SxZgBFBahUCiEvbz9mHhabxW5TQL7JuTaQSgtoln8GXaYwifLZDJhg3PonLiZ9MkAeMt2PyCa9YlDqzE5XsvnIGbyiWRdy7p4JocKHj4fSsWpKEwwGxhFHrhtPeKVNlK0JOwioLrLAJRuEITT6VRHR0c6OTmJaEDqDL/66quwDzQTAlAILNAsVFzTbopmo710Op2GrIeX5ns60NNn/IyL4O2laHGAAojxfdFybt7pjcGUS4uOQsh6SHVJEdPM4uMz+VrGN951sJ0nNwZCp0A8HSadTTpOOPvVoMmoZAFYXuDArrCIV2pnMplIpYsU3fuacTkZ7Y3o/N8pE2nhArA4CBz4fD+G8QIWXIZ4xiPOl+IOLKOM1ikbmTu+iHge1QEonRHcP/30kzKZjI6Pj8N+MmhJKJ7d3V3NZrNQ0EnvRbFYDK9xYPs3z5bA2+Er4hbQJ0PFNtXSRN+eDeG9K/isaFpKvuJmF21K3SPg57PjFTV89osXL/TixYtI2deyif9YtaB0gyBEAKI/RLQeUe1sNos450TLmGrEixWks5VaqVQkvZt2c7oFsCyjYJZpHv7uwPFF5RoQ3xJ/M04bxRcggn/rPGOcDvpU5EZBGM/PxoUG77i/hmahpP7rr78OL2lMpVI6ODjQjz/+qIcPH4Yy+XiRAWCjkMK5ScaDGXRuETNMXzMROCVVgJxX2Lopx2f0zkTPpkiLaBvGwNmETZONzx1fhzjXhjg9Qk75888/D/0mEN+tViu88tV5uHh0Ga+UkRSpYnEqBxCSVXEAkTL0Ilqiateu/nYmvsfz01xXWm+BwqbIldN2NyWYvVwup2fPnqlcLqtSqYSyed6dsr+/L2kBLHbcoo9ZiuZ2iaCd3vF9ADkG3pHdH6gSZ28bFoRnRryAwX1Dcs60R3iBxn//+1/98ssvt/psb1NuJW13U8IkjcdjHR0dqdlsand3V4VCQffv3w9vNpLOqA6ar9gh1TMf6XQ6UjCKPwjQCUzwTcnl8ru0aJb3Ch7fIMmzM07veOQ/Ho9Vr9dDnpgmq8vI+1yd90W1m0j13DoIL/IQ8O3IbHQ6HU2n05CPxiwy6ZDKlOqjxeAToVi8cieeqQCkBDxcH/9Uiu4Z44FK/CWR3K+0SOU1Gg11Op3IWwEuI+97hpf937pkLZrwIkDENBIQ0FJJ6RfXkxQqbeiyY29rTC3giXOJvmUI16enmtfclsvl8ELG+GsrMOdU+1AZ7cUTVErTMhtvN1i3fCiI5JibGPOtg/Ci6SiPePGlyLfSFiAtcrLNZlPj8VivXr0KuWICEye+JQWT7XvCDIfD0BvDOV7mD7UCce7pRl4QxILxXhGvpt7E4oRVxnNTY95YnxDxKJJgodfr6ejoSLlcLrxplGZ6fMKXL18GOoQU2v3790P6L5PJhJc7shM+G2my9ZxXSHvfNBr55OQkUpJfKBQC8Z7JZNRqtXR8fCxpERy9Ly+8TNNsog933bLxIER8Inx7DigQdt7ybjZpEWXTo5xKpSJN8WRVaJDCJ+SFhlwDDQnoWq1WMNVUBFGEy/Yd7XY77HNIwLNpZngT5NopmttauQQiXq71Pg3jptWrcpzHc26R0rNl4tyhj4VtiL3kK97i6YUMq97npoF2mf943jhXGfudBeFl5Lx78PF6gYOfA4jivSHxc5y89mMvGwVv4vPcKBBu4gO6LvGKamn5A4//bdVjPyW502T1uiVefiW9n8b4FKtfrkuu1FP4KT/gT/ner1vuXGPrRXLYV8l3v89//BChu2657jHc9D3dORDellxW022ChrzuMdz0PX3yILzIKr+uydgEbYl4QLUuuXMgvGja7zqv97HKup/BjYFw3atrk2Xdk+6yCWO5c5pwKx+f3BgIN2GFbeVuyK1pwq153sp5cmsg3GrGrZwnW5/whmUVC7DpVmJLVt9x+Rhooi1ZvZWPXrZVNFu5drloFmat24Bc9np+zVUKVbdyO+Jdj/GmsvfJpUC4DAwfOv66QbHpzvxWVp+jS7/RaStbuS7ZBiZbWbtsQbiVtcsWhFtZu2xBuJW1yxaEW1m7bEG4lbXLFoRbWbtsQbiVtcsWhFtZu/wPs1dv4/ZtEAoAAAAASUVORK5CYII=\n",
-                        "text/plain": [
-                            "<Figure size 200x200 with 1 Axes>"
-                        ]
-                    },
-                    "metadata": {},
-                    "output_type": "display_data"
-                },
-                {
-                    "name": "stdout",
-                    "output_type": "stream",
-                    "text": [
-                        "train completed, total time: 489.2791540622711.\n"
-                    ]
-                }
-            ],
-            "source": [
-                "n_epochs = 150\n",
-                "val_interval = 25\n",
-                "epoch_loss_list = []\n",
-                "val_epoch_loss_list = []\n",
-                "\n",
-                "scaler = GradScaler()\n",
-                "total_start = time.time()\n",
-                "for epoch in range(n_epochs):\n",
-                "    model.train()\n",
-                "    epoch_loss = 0\n",
-                "    progress_bar = tqdm(enumerate(train_loader), total=len(train_loader), ncols=70)\n",
-                "    progress_bar.set_description(f\"Epoch {epoch}\")\n",
-                "    for step, batch in progress_bar:\n",
-                "        images = batch[\"image\"].to(device)\n",
-                "        optimizer.zero_grad(set_to_none=True)\n",
-                "\n",
-                "        with autocast(enabled=True):\n",
-                "            # Generate random noise\n",
-                "            noise = torch.randn_like(images).to(device)\n",
-                "\n",
-                "            # Create timesteps\n",
-                "            timesteps = torch.randint(\n",
-                "                0, inferer.scheduler.num_train_timesteps, (images.shape[0],), device=images.device\n",
-                "            ).long()\n",
-                "\n",
-                "            # Get model prediction\n",
-                "            noise_pred = inferer(inputs=images, diffusion_model=model, noise=noise, timesteps=timesteps)\n",
-                "\n",
-                "            loss = F.mse_loss(noise_pred.float(), noise.float())\n",
-                "\n",
-                "        scaler.scale(loss).backward()\n",
-                "        scaler.step(optimizer)\n",
-                "        scaler.update()\n",
-                "\n",
-                "        epoch_loss += loss.item()\n",
-                "\n",
-                "        progress_bar.set_postfix({\"loss\": epoch_loss / (step + 1)})\n",
-                "    epoch_loss_list.append(epoch_loss / (step + 1))\n",
-                "\n",
-                "    if (epoch + 1) % val_interval == 0:\n",
-                "        model.eval()\n",
-                "        val_epoch_loss = 0\n",
-                "        for step, batch in enumerate(val_loader):\n",
-                "            images = batch[\"image\"].to(device)\n",
-                "            with torch.no_grad():\n",
-                "                with autocast(enabled=True):\n",
-                "                    noise = torch.randn_like(images).to(device)\n",
-                "                    timesteps = torch.randint(\n",
-                "                        0, inferer.scheduler.num_train_timesteps, (images.shape[0],), device=images.device\n",
-                "                    ).long()\n",
-                "                    noise_pred = inferer(inputs=images, diffusion_model=model, noise=noise, timesteps=timesteps)\n",
-                "                    val_loss = F.mse_loss(noise_pred.float(), noise.float())\n",
-                "\n",
-                "            val_epoch_loss += val_loss.item()\n",
-                "            progress_bar.set_postfix({\"val_loss\": val_epoch_loss / (step + 1)})\n",
-                "        val_epoch_loss_list.append(val_epoch_loss / (step + 1))\n",
-                "\n",
-                "        # Sampling image during training\n",
-                "        noise = torch.randn((1, 1, 64, 64))\n",
-                "        noise = noise.to(device)\n",
-                "        scheduler.set_timesteps(num_inference_steps=1000)\n",
-                "        with autocast(enabled=True):\n",
-                "            image = inferer.sample(input_noise=noise, diffusion_model=model, scheduler=scheduler)\n",
-                "\n",
-                "        plt.figure(figsize=(2, 2))\n",
-                "        plt.imshow(image[0, 0].cpu(), vmin=0, vmax=1, cmap=\"gray\")\n",
-                "        plt.tight_layout()\n",
-                "        plt.axis(\"off\")\n",
-                "        plt.show()\n",
-                "\n",
-                "total_time = time.time() - total_start\n",
-                "print(f\"train completed, total time: {total_time}.\")"
-            ]
-        },
-        {
-            "cell_type": "markdown",
-            "id": "fd2b79a4",
-            "metadata": {},
-            "source": [
-                "## Train the ControlNet"
-            ]
-        },
-        {
-            "cell_type": "markdown",
-            "id": "73524090-2924-4967-8774-45e795f45bb4",
-            "metadata": {},
-            "source": [
-                "### Set up models"
-            ]
-        },
-        {
-            "cell_type": "code",
-            "execution_count": 12,
-            "id": "06181aa6-1c4b-415d-9973-df6f44693935",
-            "metadata": {
-                "lines_to_next_cell": 2
-            },
-            "outputs": [],
-            "source": [
-                "# Create control net\n",
-                "controlnet = ControlNet(\n",
-                "    spatial_dims=2,\n",
-                "    in_channels=1,\n",
-                "    num_channels=(128, 256, 256),\n",
-                "    attention_levels=(False, True, True),\n",
-                "    num_res_blocks=1,\n",
-                "    num_head_channels=256,\n",
-                "    conditioning_embedding_num_channels=(16,),\n",
-                ")\n",
-                "# Copy weights from the DM to the controlnet\n",
-                "controlnet.load_state_dict(model.state_dict(), strict=False)\n",
-                "controlnet = controlnet.to(device)\n",
-                "# Now, we freeze the parameters of the diffusion model.\n",
-                "for p in model.parameters():\n",
-                "    p.requires_grad = False\n",
-                "optimizer = torch.optim.Adam(params=controlnet.parameters(), lr=2.5e-5)"
-            ]
-        },
-        {
-            "cell_type": "markdown",
-            "id": "94d2e5e7-8633-4d1d-a323-7e74c963641c",
-            "metadata": {
-                "tags": []
-            },
-            "source": [
-                "### Run ControlNet training"
-            ]
-        },
-        {
-            "cell_type": "code",
-            "execution_count": 13,
-            "id": "78053aaf-2009-405b-904e-0e5d301018eb",
-            "metadata": {
-                "tags": []
-            },
-            "outputs": [
-                {
-                    "name": "stderr",
-                    "output_type": "stream",
-                    "text": [
-                        "Epoch 0: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 6/6 [00:02<00:00,  2.42it/s, loss=0.0229]\n",
-                        "Epoch 1: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 6/6 [00:02<00:00,  2.42it/s, loss=0.0182]\n",
-                        "Epoch 2: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 6/6 [00:02<00:00,  2.32it/s, loss=0.0206]\n",
-                        "Epoch 3: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 6/6 [00:02<00:00,  2.37it/s, loss=0.0223]\n",
-                        "Epoch 4: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 6/6 [00:02<00:00,  2.34it/s, loss=0.0193]\n",
-                        "Epoch 5: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 6/6 [00:02<00:00,  2.29it/s, loss=0.0216]\n",
-                        "Epoch 6: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 6/6 [00:02<00:00,  2.22it/s, loss=0.019]\n",
-                        "Epoch 7: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 6/6 [00:02<00:00,  2.26it/s, loss=0.0179]\n",
-                        "Epoch 8: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 6/6 [00:02<00:00,  2.28it/s, loss=0.0188]\n",
-                        "Epoch 9: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 6/6 [00:02<00:00,  2.20it/s, loss=0.0219]\n",
-                        "Epoch 10: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 6/6 [00:02<00:00,  2.29it/s, loss=0.0185]\n",
-                        "Epoch 11: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 6/6 [00:02<00:00,  2.32it/s, loss=0.0202]\n",
-                        "Epoch 12: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 6/6 [00:03<00:00,  1.62it/s, loss=0.021]\n",
-                        "Epoch 13: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 6/6 [00:02<00:00,  2.15it/s, loss=0.0239]\n",
-                        "Epoch 14: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 6/6 [00:02<00:00,  2.23it/s, loss=0.0182]\n",
-                        "Epoch 15: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 6/6 [00:02<00:00,  2.24it/s, loss=0.0192]\n",
-                        "Epoch 16: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 6/6 [00:02<00:00,  2.19it/s, loss=0.0192]\n",
-                        "Epoch 17: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 6/6 [00:02<00:00,  2.29it/s, loss=0.0223]\n",
-                        "Epoch 18: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 6/6 [00:02<00:00,  2.16it/s, loss=0.0224]\n",
-                        "Epoch 19: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 6/6 [00:02<00:00,  2.13it/s, loss=0.0215]\n",
-                        "Epoch 20: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 6/6 [00:02<00:00,  2.24it/s, loss=0.0186]\n",
-                        "Epoch 21: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 6/6 [00:02<00:00,  2.19it/s, loss=0.0191]\n",
-                        "Epoch 22: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 6/6 [00:02<00:00,  2.16it/s, loss=0.0159]\n",
-                        "Epoch 23: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 6/6 [00:02<00:00,  2.15it/s, loss=0.0179]\n",
-                        "Epoch 24: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 6/6 [00:02<00:00,  2.23it/s, loss=0.018]\n",
-                        "sampling...: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 1000/1000 [00:31<00:00, 31.75it/s]\n"
-                    ]
-                },
-                {
-                    "data": {
-                        "image/png": 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\n",
-                        "text/plain": [
-                            "<Figure size 400x200 with 2 Axes>"
-                        ]
-                    },
-                    "metadata": {},
-                    "output_type": "display_data"
-                },
-                {
-                    "name": "stderr",
-                    "output_type": "stream",
-                    "text": [
-                        "Epoch 25: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 6/6 [00:02<00:00,  2.47it/s, loss=0.0192]\n",
-                        "Epoch 26: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 6/6 [00:02<00:00,  2.44it/s, loss=0.0151]\n",
-                        "Epoch 27: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 6/6 [00:02<00:00,  2.50it/s, loss=0.0205]\n",
-                        "Epoch 28: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 6/6 [00:02<00:00,  2.42it/s, loss=0.0161]\n",
-                        "Epoch 29: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 6/6 [00:02<00:00,  2.45it/s, loss=0.0193]\n",
-                        "Epoch 30: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 6/6 [00:02<00:00,  2.41it/s, loss=0.0176]\n",
-                        "Epoch 31: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 6/6 [00:02<00:00,  2.41it/s, loss=0.0202]\n",
-                        "Epoch 32: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 6/6 [00:02<00:00,  2.38it/s, loss=0.0161]\n",
-                        "Epoch 33: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 6/6 [00:02<00:00,  2.37it/s, loss=0.0186]\n",
-                        "Epoch 34: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 6/6 [00:02<00:00,  2.30it/s, loss=0.0204]\n",
-                        "Epoch 35: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 6/6 [00:02<00:00,  2.35it/s, loss=0.0161]\n",
-                        "Epoch 36: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 6/6 [00:02<00:00,  2.21it/s, loss=0.0129]\n",
-                        "Epoch 37: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 6/6 [00:02<00:00,  2.18it/s, loss=0.0174]\n",
-                        "Epoch 38: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 6/6 [00:02<00:00,  2.25it/s, loss=0.0201]\n",
-                        "Epoch 39: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 6/6 [00:02<00:00,  2.24it/s, loss=0.02]\n",
-                        "Epoch 40: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 6/6 [00:02<00:00,  2.10it/s, loss=0.0183]\n",
-                        "Epoch 41: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 6/6 [00:02<00:00,  2.20it/s, loss=0.0199]\n",
-                        "Epoch 42: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 6/6 [00:02<00:00,  2.18it/s, loss=0.0228]\n",
-                        "Epoch 43: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 6/6 [00:02<00:00,  2.18it/s, loss=0.0151]\n",
-                        "Epoch 44: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 6/6 [00:02<00:00,  2.23it/s, loss=0.0135]\n",
-                        "Epoch 45: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 6/6 [00:02<00:00,  2.23it/s, loss=0.016]\n",
-                        "Epoch 46: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 6/6 [00:02<00:00,  2.28it/s, loss=0.0205]\n",
-                        "Epoch 47: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 6/6 [00:02<00:00,  2.05it/s, loss=0.0194]\n",
-                        "Epoch 48: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 6/6 [00:02<00:00,  2.16it/s, loss=0.0188]\n",
-                        "Epoch 49: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 6/6 [00:02<00:00,  2.28it/s, loss=0.0194]\n",
-                        "sampling...: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 1000/1000 [00:32<00:00, 30.98it/s]\n"
-                    ]
-                },
-                {
-                    "data": {
-                        "image/png": 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\n",
-                        "text/plain": [
-                            "<Figure size 400x200 with 2 Axes>"
-                        ]
-                    },
-                    "metadata": {},
-                    "output_type": "display_data"
-                },
-                {
-                    "name": "stderr",
-                    "output_type": "stream",
-                    "text": [
-                        "Epoch 50: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 6/6 [00:02<00:00,  2.51it/s, loss=0.0175]\n",
-                        "Epoch 51: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 6/6 [00:02<00:00,  2.47it/s, loss=0.019]\n",
-                        "Epoch 52: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 6/6 [00:02<00:00,  2.37it/s, loss=0.0191]\n",
-                        "Epoch 53: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 6/6 [00:02<00:00,  2.46it/s, loss=0.0197]\n",
-                        "Epoch 54: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 6/6 [00:02<00:00,  2.41it/s, loss=0.0194]\n",
-                        "Epoch 55: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 6/6 [00:02<00:00,  2.42it/s, loss=0.0202]\n",
-                        "Epoch 56: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 6/6 [00:02<00:00,  2.38it/s, loss=0.0144]\n",
-                        "Epoch 57: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 6/6 [00:02<00:00,  2.30it/s, loss=0.0186]\n",
-                        "Epoch 58: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 6/6 [00:02<00:00,  2.29it/s, loss=0.0186]\n",
-                        "Epoch 59: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 6/6 [00:02<00:00,  2.33it/s, loss=0.0154]\n",
-                        "Epoch 60: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 6/6 [00:02<00:00,  2.32it/s, loss=0.0152]\n",
-                        "Epoch 61: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 6/6 [00:02<00:00,  2.21it/s, loss=0.0178]\n",
-                        "Epoch 62: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 6/6 [00:02<00:00,  2.17it/s, loss=0.0198]\n",
-                        "Epoch 63: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 6/6 [00:02<00:00,  2.17it/s, loss=0.0176]\n",
-                        "Epoch 64: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 6/6 [00:02<00:00,  2.44it/s, loss=0.0169]\n",
-                        "Epoch 65: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 6/6 [00:03<00:00,  1.86it/s, loss=0.0167]\n",
-                        "Epoch 66: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 6/6 [00:02<00:00,  2.21it/s, loss=0.017]\n",
-                        "Epoch 67: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 6/6 [00:02<00:00,  2.03it/s, loss=0.0191]\n",
-                        "Epoch 68: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 6/6 [00:02<00:00,  2.11it/s, loss=0.0132]\n",
-                        "Epoch 69: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 6/6 [00:02<00:00,  2.32it/s, loss=0.017]\n",
-                        "Epoch 70: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 6/6 [00:02<00:00,  2.24it/s, loss=0.0207]\n",
-                        "Epoch 71: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 6/6 [00:02<00:00,  2.25it/s, loss=0.0195]\n",
-                        "Epoch 72: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 6/6 [00:02<00:00,  2.11it/s, loss=0.0189]\n",
-                        "Epoch 73: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 6/6 [00:02<00:00,  2.06it/s, loss=0.0144]\n",
-                        "Epoch 74: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 6/6 [00:02<00:00,  2.10it/s, loss=0.0199]\n",
-                        "sampling...: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 1000/1000 [00:32<00:00, 30.69it/s]\n"
-                    ]
-                },
-                {
-                    "data": {
-                        "image/png": 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\n",
-                        "text/plain": [
-                            "<Figure size 400x200 with 2 Axes>"
-                        ]
-                    },
-                    "metadata": {},
-                    "output_type": "display_data"
-                },
-                {
-                    "name": "stderr",
-                    "output_type": "stream",
-                    "text": [
-                        "Epoch 75: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 6/6 [00:02<00:00,  2.49it/s, loss=0.0199]\n",
-                        "Epoch 76: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 6/6 [00:02<00:00,  2.49it/s, loss=0.0174]\n",
-                        "Epoch 77: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 6/6 [00:02<00:00,  2.45it/s, loss=0.0218]\n",
-                        "Epoch 78: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 6/6 [00:02<00:00,  2.49it/s, loss=0.0138]\n",
-                        "Epoch 79: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 6/6 [00:02<00:00,  2.36it/s, loss=0.0186]\n",
-                        "Epoch 80: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 6/6 [00:02<00:00,  2.33it/s, loss=0.0192]\n",
-                        "Epoch 81: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 6/6 [00:02<00:00,  2.33it/s, loss=0.0174]\n",
-                        "Epoch 82: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 6/6 [00:02<00:00,  2.24it/s, loss=0.0228]\n",
-                        "Epoch 83: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 6/6 [00:02<00:00,  2.31it/s, loss=0.0183]\n",
-                        "Epoch 84: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 6/6 [00:02<00:00,  2.21it/s, loss=0.0201]\n",
-                        "Epoch 85: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 6/6 [00:02<00:00,  2.27it/s, loss=0.0141]\n",
-                        "Epoch 86: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 6/6 [00:02<00:00,  2.18it/s, loss=0.0181]\n",
-                        "Epoch 87: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 6/6 [00:02<00:00,  2.26it/s, loss=0.0211]\n",
-                        "Epoch 88: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 6/6 [00:02<00:00,  2.24it/s, loss=0.0178]\n",
-                        "Epoch 89: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 6/6 [00:02<00:00,  2.18it/s, loss=0.0167]\n",
-                        "Epoch 90: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 6/6 [00:02<00:00,  2.30it/s, loss=0.0213]\n",
-                        "Epoch 91: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 6/6 [00:02<00:00,  2.19it/s, loss=0.0114]\n",
-                        "Epoch 92: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 6/6 [00:02<00:00,  2.14it/s, loss=0.0137]\n",
-                        "Epoch 93: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 6/6 [00:02<00:00,  2.15it/s, loss=0.0128]\n",
-                        "Epoch 94: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 6/6 [00:03<00:00,  1.86it/s, loss=0.0183]\n",
-                        "Epoch 95: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 6/6 [00:02<00:00,  2.16it/s, loss=0.0125]\n",
-                        "Epoch 96: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 6/6 [00:02<00:00,  2.26it/s, loss=0.0176]\n",
-                        "Epoch 97: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 6/6 [00:02<00:00,  2.25it/s, loss=0.0193]\n",
-                        "Epoch 98: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 6/6 [00:02<00:00,  2.10it/s, loss=0.0198]\n",
-                        "Epoch 99: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 6/6 [00:03<00:00,  1.90it/s, loss=0.0183]\n",
-                        "sampling...: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 1000/1000 [00:32<00:00, 31.08it/s]\n"
-                    ]
-                },
-                {
-                    "data": {
-                        "image/png": 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ffTYA4JZbbnHsc9NNNwEAzjnnnLo7e/bZZ2Pjxo146qmn9LZ9+/bhhz/8Yc1jE4kEgP1k46WdUqmE2267zbH95ptvhs/nw1lnnVVfxyeJM844A08++aSj6nNwcNDTdTcDgUBgQnT2k5/8BDt27HBsGxgYcPwfDoexZs0aKKVQKBQcr/l8PmzYsAHnn38+Lrnkkgna7sGMRx991DXaZV6I0h8jS7lvKpWaQEDNhPzMK6Vw2223IRQK4b3vfa/r/oFAAB/+8Idx7733uj6N79u3b8r6WgmBQAA+nw+lUklve/3113Hfffc59jvjjDMAAN/61rcc283q1dl4jXVF3MuXL8e//Mu/4MILL8Tq1asdlZO/+tWv8JOf/ET7MY8++mhccskl2LBhA4aHh7Fu3To89dRT+N73vofzzjsPp556at2dvfrqq/H9738fZ555Jv78z/8ciUQCGzZsQG9vL373u9/V7Ht7ezv+8R//ES0tLUgkEjjhhBMm6FvAfv311FNPxZe+9CW8/vrrOProo/GLX/wC//mf/4mrrrrKkYicDlx99dX4wQ9+gPe///244oorkEgkcOedd2LZsmUYHBys62miEZx77rm4/vrr8fGPfxwnnXQSXnjhBfzwhz+coIeefvrpWLRoEU4++WQsXLgQL7/8Mm677Tacc845rkltv9+PH/zgBzjvvPNwwQUX4Oc//zlOO+20Kb2W2YArrrgCmUwGH/rQh3D44Yfr78+//du/oa+vT+ump59+OsLhMD7wgQ/g05/+NEZHR/Gd73wHCxYs0FF5MxGNRvHQQw/hkksuwQknnIAHH3wQP/vZz/DFL35xQn5E4qtf/SoeffRRnHDCCfjUpz6FNWvWYHBwEM888wweeeQRDA4ONr2v1XDOOefgpptuwplnnomPfvSj2Lt3L26//XasWLHCwRPHHnssPvzhD+OWW27BwMAA3vnOd+KXv/ylfsqQ36vZdo11+biJV155RX3qU59SfX19KhwOq5aWFnXyySerW2+9VWWzWb1foVBQ1113nTrkkENUKBRSS5cuVV/4whcc+yi13w50zjnnTGjHtPQppdTvfvc7tW7dOhWNRlVPT4+64YYb1F133VXTDqiUUv/5n/+p1qxZo4LBoMMaaNoBlVIqnU6rv/iLv1CLFy9WoVBIrVy5Un3961932JOU2m+Nuvzyyyf0vZLFybQDer3uZ599Vp1yyikqEomoJUuWqL/9279V//AP/6AAqN27d084h8Qll1yiEomEaztu9j2zX9lsVn32s59V3d3dKhaLqZNPPlk9+eSTE/p5xx13qHe/+91q3rx5KhKJqOXLl6vPf/7zKpVK6X1MH7dS+61b69atU8lkUm3cuLHqtRwMePDBB9UnPvEJdfjhh6tkMqnC4bBasWKFuuKKK9SePXsc+95///3qqKOOUtFoVPX19am/+7u/U//0T//k+bPk9vncunWrAqC+/vWv6238jGzZskWdfvrpKh6Pq4ULF6prrrlmghUUhlVOKaX27NmjLr/8crV06VIVCoXUokWL1Hvf+161YcOGmvej0nfl6aefduzn9tmRfZe466671MqVK1UkElGHH364uvvuu/XxEmNjY+ryyy9XnZ2dKplMqvPOO09t2rRJAVBf/epXm3aNzYZPqTmQ/bNwxVVXXYU77rgDo6OjtpzeYlK49NJLcc8992B0dHSmuzLjeO655/C2t70NP/jBD5puNW4W7MwucwTmrIsDAwP4/ve/j3e9612WtC0sGoTbbKa33HIL/H4/3v3ud89Aj7yh7tkBLWYGJ554It7znvdg9erV2LNnD+666y6MjIzgy1/+8kx3zcJizuJrX/safvvb3+LUU09FMBjEgw8+iAcffBB/8id/MsEvPptgiXuO4Oyzz8Y999yDDRs2wOfz4e1vfzvuuuuuWR0VWFjMdpx00kn4r//6L9xwww0YHR3FsmXLcO211+JLX/rSTHetKqzGbWFhYTHHYDVuCwsLizkGS9wWFhYWcwyWuC0sLCzmGDwnJ6e6Os/CgpitaRcucVculyf0cab67PP5prRtfu8n04bbOZrRb5OTeL5KXFVve16vfSreg1rns64SCwuPqLagNL+8XgMck8Qqve6FPNyIQ56zFmHWS4CVzl0JldqTfal2D6q172W7eS7zntZ6z7y8P9XIu9p7YW7zCkvcFhYeQeKerqdP2U4lkuNgUS2qNftbizCrXZ/buWRfpgKN3G8vpDyZ99HLsV7bbqQfVuO2sGgS6vkCykitmW1WItKplFPU/iUQp+z8jUAOZvxf/p7Ots3XmgEbcVtYTCGqSSK1vsT1SC/med2ItJZEUu85G9WMvR5fr6RRb/tTgVr6ejVSl/vVgo24LSymCbMtKrXwDi/vXSUtfCredxtxW1hMAo0k1+TrzdJvayUvzX3qjfZ5LLdXS8RVeq1RAqsWxU4minbrTyPvoxfwvlR7D+ppxxK3hUUTUIvQqh0nUQ8pNtpmtfbN16aKyIhGidccSCr1q17nRqV7WotkvSYrvUhYXmCJ28KiCWiGftrIl7+eL30tkq/HgdGMqNqr37qS82WyEXe1Pk3mXjWyX72wxG1hMQnUm3AkatnxZERpnttLRNjs/lY6T7Pkj0bO04iLx4QX8p/qpGYj99ImJy0sZgD1ksVkCHc22vUkmhHZ1ruv1/NNl2e/XtiI28JiGlCpEIavmahGGtV00mZEsrXOWynar0evdztXLZvcZHTkau02C259NLdNNidB2IjbwsIjZnME5gXNIIyp0n29HMsnh1pPEF4cM42iVtte/fOT/RzZiNvCYgphlqR7QbMsbmx3MgUsXgm13u31Rp5uUX2zXC/1RP219nGD29OKJW4Li1kKr5JGMyrpGkW9pCVRzR9ey6/crOuq5DdvNuqRfCQmm8StBEvcFhYzDK9R2FQTVDOiwXr099mIalp6LbtkvUVQk4ElbguLBlCPh7gSmVVKJHrRgCdb7DMZCaTSHCLNjKLd2qsXtQa6egZCr4lRea5aVs/JwCYnLSzqxHTKF1ONqa6M9IpmV2M2+6lhqlFvmzbitrCoE/W4J7x8IZupAdcTGdZznIwmG5E+alniJpPwM7dXyiM0o9qz1vG1Bg23Uv1GYInbwmKG0Kg3eTJf+EateJX6QtSSImYCbh5qbpe/Gz23lza9DHJ2rhILiynEZCNNeY5q5zHJsdHk3mQjyVpPDF6cFs0eZKr1w21KgGouHq/3p9b9n6xu3cjxlrgtLGYAzYhG3b7wtTzS1ci0Ge6PalFtPYQ5lUU0XuA1oUzUIvVa0lC9g4lNTlpYNAkzkdRyQzOqGxs5d612vGr3UyGxTMd7M53vv424LSwmCS/VfF6O9xJlTkUFplvUXmsfef5qtsF65IhGEqv1kGU9g0Y99sBa77+X+1Av6duI28KiDnghjkqRZTMisslEvNw+lUnDmXzqcHN3NHq905lYtclJC4spRqXIsFEb3mRRaSBx66ff759AZuVyeQJxuG2rB2y70UrPZlZaNnodtayDjdoXKz252OSkhcU0ohmVcCbBSdKrFblXeyx3c1sEAgH4fD4Eg/u/+qVSCeVy2XFsoVDwdE1mP9z61Sh5u/W/nmO8oN5kaSWnT6XXzHbMvxvtC/AWIW6fz4eFCxdi/vz5VffL5/PYsWMHxsbGGm4rEomgp6cH8Xh8wmvFYhF79uzB0NBQw+e3mF1opjRQb3GGF4cDSdrv9yMSiSAcDiMQCCASiQAACoUCisUi/H4/AoEASqUSUqkU8vm8I/J2G0wqkZXf70c0GkUgEEAgEIDf70epVEIul0OpVHIMFpXuQTVMpRxT6d434tKZSrwliDsUCuH888/HhRdeCL+/sqy/fft2fO1rX8Nvf/vbhtvq7u7G5z//eRx11FETXhsbG8Ott96Kn/70pw2f32Luo1KRhrkPUU8BjvlaKBRCe3s7IpEI5s+fj87OTsRiMXR0dMDv9yOVSiGbzSISiSAWi2F8fBzPPfccBgYGkM1mUSgUAADBYNBhbVNKoVQqufYhHA5jyZIlSCaTSCaTSCQSGBsbw/bt2zE+Po5UKoVMJlP1mivdr3pJuxoJ11tEUwn1uniaIQXNeeJmpFAN0WgUy5cvx8knn1z1Zm3ZsgXz5s1DKBRquD9tbW046qijcNJJJ014bWRkBPfeey/C4bDjzS4Wi7PGSmZRG7W80rWOnQpIaUL2jZF2LBZDW1sb5s2bh3g8jgULFujIOJPJIBqNaoJNJpNIp9MoFAqauBk5S9I2tXC2HQwGEY/H0draivb2drS1tWFkZATDw8Pw+XzIZDINE3EzMJNtN6vNOU/cRxxxBM455xxXaYIIhUI48cQTa45wnZ2duPjii3HKKac03J+uri4sW7bM9bVIJIJzzz0XS5Ys0dtGRkZw//33Y9OmTQ23aTG9cKvQq/fYWq95sRiSKGOxGFpbWzW5+nw+ZLNZjI+PIxKJoLOzE/F4HPPnz0dXVxdCoRAikQh8Ph9aWlq0fBIOhwEARx55JJYvX44dO3Zg+/btCIfDWLBgAcLhsJY4CoUCxsfHHZJHMBjU543H47p/fr8f8XgcPT09yOfz6OrqQjabRbFY1IPDwMAAMpmMw5HDv+W1U6OXkX8l2UWimv7eLDKtVBBVad9qfayFOU/ca9aswZVXXomurq6q+1WTSIiOjg589KMfnfQbWekJIBKJ4Oyzz8ZZZ52lt73xxht48cUXLXHPUdTjlZ6MB5ltSWIjSTOCDofDWtJIpVIYHBxELBZDe3s7EokE5s2bh/nz5zueUn0+H6LRqO4PJRW/34+XX34ZxWIRiUQChx56KOLxuG47l8shlUqhXC7r64pEIojH4ygWixgYGEChUNA6dywWw6JFiwAccK3kcjlkMhlkMhkUCgXk83lNxJKQJdGakk01vbxRNFLVOJnBvBHMKeJub2/HqlWrEIvF9La1a9ciFovVlEu8wgvBN/P8iUQCxxxzDMbHx/W20dFRbNq0Cel0Wm/r6OjAqlWr9JcMAHbv3o3NmzejWCxOaZ8tJod6k46EmzMjGAwiHA5rmSMUCiGZTCIejyMYDOqkIKPqUCiERCKBcDgMn8/nIEUSn6lVkwzD4TA6OjoQjUZ1mzIKDgaDKJVKegAJBAKaRLl/KBTSn3leR7FYRKlU0hG6UgrxeByJREJH4UopFItFlMtlff5QKIR4PA6/369fY+QvI/BG3htzW6NFVNMFn/LY4kxkTk2ccMIJuOGGG9DX16e3tbS0oKurq2nEPd0oFovYu3evw8ny8ssv40tf+hJefPFFve1d73oXrrvuOixdulRvu++++3DjjTcilUpNa5+nGrNV73cj0lpoxJ4m/5cDPQlu4cKFiEajmD9/PlpaWvTrgUAA8+bNQzQa1cdKNwcJvlwuT8iryGiWyOVyyGaz8Pv9mvhzuRwKhQJKpZJ2nlC+4HmBA7knOlnYP6UUMpkM8vm8lmfy+Txef/11DA8PI5PJIJ1Oo1QqaSkmFAohGAwimUxi0aJFCIVCyGazyOVyGB0dxcDAAEqlkiZzN7nF7V7Xem+qvc/N+Iw2kjglZm3ETV1MEnJXVxcOPfRQLF++fAZ71lwEg0EsXrzYsS2bzaKrqwttbW16G69dDlpLly5FR0eH63lLpRIymUzTHyMtpgempY9EGI1GkUwmEY1G0dLSgtbWVk1ajLj5vQkGg5pIi8UifD6fjrClV1sOEH6/X39mGNWbVsBSqaSjUqmrkzSlBVGelxG73EY/eSwWQz6f133lwFIqlbTcEg6HEY/H9SDC6wuHw46BiP2X1+dVe24WvAwMk7ESztqIu6enBx/72MewYsUKva27uxsnn3wyWltbp7Uv043BwUE8/vjj6O/v19t6enpw0kknOSKszZs3Y+PGjfoDL7F161Z897vfxfbt26elz83EwRRxA42VqZt/9/b2YunSpTrJGAwGNTkGg0GEQiGtV5MMAWg5gZF3LpdzkC8jaClDBINBHTCx74yWU6kU0um0lmP4GvtJcuax4XAYoVDIkfzMZrM64g6FQjpSL5fLyOfz+gkhk8mgWCxi3759GB4eRnt7Ow455BBEo1G9PyPubDaLvXv3IpPJ6MFJSkJy4PEazFTLSVSzC9ZjJazUxpyNuDs6OrB+/Xq8853vnOmuTDs6Ozuxfv36mvutWLHCMbBJPPXUU7j//vvnJHHPdjSiVTcimfAx3+/3o7OzE4cddhgikQja2toQCAQ0AUYiESSTSUf/yuWyljEYRTMRCBxIEKbTaeRyOUSjUSildNTupsuXy2Vks1lkMhmtXVOO4RMBra5mohE4kEyVA4vP50M4HNZe83K5rIl3fHwc+Xwefr8f4+Pj+ikjFovpc1LnHxsbw+joKPL5/ATXCZ8Y+FTglbgnExHL65uKQGTWEfeKFSvwtre9DYcccgjmzZs3092Zs5g3bx7OOussrFq1Cs8//zxeeeWVme6SBbzZAUmIsVgMfX19aGlpQXd3N2KxGPx+P7LZLID9GjQlEFY/SrJnNFsoFCaQFclcSh2MxBmhS3mD5+B2ADqqpTbO8/D8BPcrlUoTrH08tlwu66cBJiaphfv9fnR0dKC1tRWxWExXfRLlchmRSASlUgnz589HoVBALpdDPp/H4OCg7rubdFKLWL3IHbVQrY1GB4dZR9ynnHIK/vqv/xptbW0OWcCiPvT29uKv/uqvMDIyghtvvBGvvvrqrJUgDnZ4fVzmb0oIXV1dOPvss9HX14eRkRGMjIwgm81ieHhYkyslg0gk4sgHRSIRTWZMIvKHhEyNWhbXlMtl7XAKhUIIh8M6+qUbhO0UCgUtrZiatvRY8zhKeoyaKfEA0H1kZJzNZjE4OIhcLqenkUgkEmhtbdVtAfsjbjqtenp6AOyXYnifXnrpJV1MxH5wIKnnPar3PTUxWd+2iVlB3IFAQBcJ9PT0YMGCBVULaixqIxgMaitXT08Pent7XT8o6XQaQ0NDltQngUajJvkILxN9oVBIVzK6WfFIQNISx6iS/QgGgw6yNuUK2V+em7ZAMzqXzhQ3ciZBM3J2uz9uTg83bVgOXrQbUienRi77yPvGa5bXEg6HEYlEUCgUEIvFtCtmdHTUMWcKnyTmEmZFcrKzsxOXX345TjzxRPT29mLVqlVz1t4321AqlfDKK69g27ZtruT80EMP4c4773SdO2KmMFsHEbfkpJmwko/gEuY10UJHkg4Gg7qKsa2tDZ2dnXrQjcViOmIsFAo6acdt4XBYyyiMvMPhsI5EGZ0zEgWcGnc+n0exWNQRMV+TbpFsNgulFDo7O9HS0jLBXUKNW2rdwWDQUTZPMFlJHzdtgzyeuvnY2JhjIKBkAxwYgMynBxYfDQ8PI5fLYWhoCOVyGX19fVi8eDH27duHV155BWNjY+jv78fY2JiuMjXf50qolIx0e++rJS6rnXvWJiflBcRiMRx77LGOikKL5iAQCGD16tVYvXq16+s7duzQjgRithLnbIe8b7WicJIOySsUCmkJoaOjA4sWLYLf78fY2BjGxsY0Ock5Qhg1knAZbVJ+YGQsI25G4lIL53lzuZwjeSd/s422tjZ9DmrWMqHI5CMtezxeEiyfGtguAE323I/6u3xqyOfzyGazuh22Rc2b1yjloUQiAb/fj6VLl+Kwww5DW1sbhoeHkU6nMT4+rge/elBpgJZJ0UpoRsITmAHiDoVCePe73+2YPa+tre2g8mbPJRxxxBH4zGc+44jEfv3rX+Opp56yHvAG4EXL9Pv9WLx4sWOaBp/PpyscpavDlEmAA9E6iYJyCQCdpOS5AOho2Yxegf1BE/3RiUTCkcykfZDnBKB1abYnfdlS62Z0TDmH5A3s1995Hl4fnwgob8jkpjw+kUgAOJDwlJE3730ikdDOFVobW1patGSyYsUKjI+PI5lMYnh4GOPj49pds2/fPn2/eH1SE69mCa30tOX2GXBDPQHTtBN3JBLBBz/4QVx22WV6Gy1BFtOP4447Dsccc4z+0BSLRfzd3/0dfvOb31jirgP1fFn9fj/6+vqwdu1aZLNZjIyMOIgtFArpYxmNU+5glMpiHCbyGImSdP1+P9ra2jQhskBHRtzAfpJje4ycOZ0rKxgB6KiUhCu1c0ofUofm6yym4T2i15z7mnIOByXzHpbLZV09CUBfk9u+LS0tmD9/vp4OIBgMas96PB7H6tWrtQMllUphfHwco6OjGBkZwfPPP6/rJ+RTTS3U69eeLGZEKgmFQo75RixmDnQVEKVSCUuXLsUxxxyD4eFhvPnmm8jlcjPYw7mLSjYwSgEcGCVZkUD5qE8ilMk0Hm9G4dzO35zDQ0aMlGckIfJ1/nDCJ1ldKZ0crFI0I23ZB5n0I8FShzYlHll1ycIctmMW0EiYXm0z+pauGUm+fD0Wi+mnCfaVgx3Pw8m0eC9mSzAzK1wlFrMHgUAA69evx3HHHYdnnnkGN954I15//fWZ7tasRa1ISpI3E3fBYBD5fB7Dw8N6H7/fr8mB1YyypJsg8dLPTeJhNbF0muzatQs+n09LD7FYDLFYTLtDOEBwfmz2ob+/X9v/2I+WlhYdradSKQSDQa0fMxEp3RlmQlQW52QyGe1SoaWQkf/4+LjWuflEwYie18fzSzLlFBksDHLTmqXmD+yftC6ZTGJsbEy7eADo+cmj0SiGhobw4osvIp1O60Qm4J509OIHr5X38CqXWOK2mIDu7m50d3cjm82ivb0d0WhUfxEt6odJ3tR0WVwiJ3dihMzKQ5k4k8TPfUnsMiFJQh4fH9cSBtslAcoimkKh4CBuJgHZF56DyUK5P/vDQUbOEyLlEm6T8gOJnVIp7wtwwA7IUnvCtCBKGyPvNfeT26TVkBF6KBRCKBTSPnUAaG1t1QtPJJNJHZlT72+kErKe/b1KKpa4LSpi2bJluPLKK7Fjxw787Gc/w8aNG2e6S3MWZhk7/cQsMQcORMu0CEoZK5PJ6ORde3u7fvwnIZurNvFYulXC4bBeCEEm3uSCCNKxwsIb9p3RLUkagGMwlzo27X0kRQ5MJHwSciAQcETtshiIWr5MQAJO/zavh9LP+Pg4MpmMvm6llGPgYmTOe8prla4Y020TCoXQ1tbmGKjcFpGQ7/FkYCNui0ljyZIluPTSS5FKpfDmm29a4m4SqOVmMhktM/j9fq0dR6NRtLa2aoKnXj04OIhEIoFYLKaJmkQpS8cB57wg8Xhcz+9hkg0ndWKZOI/l+RmdyvJ2DhYkYpInbYAkfvafkboZGTPXxfZkFSafJqSjRTpNzGrPYrGIsbExFAoFPUjJgiYSt5u/3q1QSdo1GXnz3o2Pj+snBZ7D7T32SuSN2G8tcVtUBSObtWvX4swzz8Tu3bvx+9//3nVGQovaIEEw0uZc09K/XC7vn/VOPt5zQQTq1ZI0isWiJhJGxtS2qae7JdUY8TKKpH4r+2JKDqzmZNvAgcSlTGAyqo1EIrp9RuWURaStUVZecj/2mclNqWtTupHtmlE7z8FkI58i+GQjf/PpgQMg+88nFk7qxUGuko4uUYnQeS/lfa20fyVY4raoiVgshosuugjr16/Hz3/+c1x77bXYt2/fTHdrxiCjKZPYah1HEolGo2hvb3dMyUqySaVS2LVrFwKBANrb2xEOh5FIJLSsIJfv4iO+jJZJPG1tbSiXy9puyP5FIhE95we95CRuygsy4iwWixgdHUW5XHbMzme6jWTfpG7P0nWen1G1dIBwAJJzocgSfA5Ow8PDKJfL+qmDixLTqx0IBFAsFpHL5fRTTKFQQDKZ1KvYy8pTTh/LhUykRMX3afHixcjn844JuCgXmXmfSuRrfl7cInKbnLRoKnw+H+bNm4d58+ZhyZIl6Orq0o+mNvI+gFqPx/JLa0aIMrp2q8AzS7zN85JAGH3KgYDEZ7oqpN4sZQc59wc95IyaZUJP+r9NGULa8aQ+zIFBWvYq3SeCWj6lE85DIpdKAw7o+tIPLl+X0b20U8r2ZPKXx7AKVM6ZIqWkmUjaW+K2qAvHHHMMbrjhBuzcuRN33303nnnmmZnu0rTD62Oum2UM2E/CLBKRkR8f3ePxOA455BCdPJReZs5HQumA0Z9ZwCajN7l8GHCg7J2yAwndLJ5h+wAci5fI42SkTI2eAwIAPQc4FwymBMP7Q8KXJfFm5Mk2aBEEgGQyqROg0okjk4okWQ4Y7Ke8D5xPhQshk/Bl4RCfiGT1JZdc27NnD0ZHRx0DQLWo2Yt91AsscVvUhWXLlmHZsmXYvn07fvGLX7wlibsavCSlqD8nk0nk83n9xWdkHI/H0d7ejmKxiP7+/gnFNlITl9Y2WcjCvgBwRIdsX+rHlDhIgkw6ygg8Go1q7zgJkoRP4pR6MkmPNjq5Eo4sJuLxbsQtpRL2ndEvLXvyXvOcvBZzqlnpmuF95L1jMlXel3w+7zhHPB5HPp/X5x4fH8fQ0JDjvXd7r/neNcN1QljitrBoImpJJfwi53I5rbWSUEgILCmnOwOAgySZuAwEAmhtbZ2ge7MflWQIKaNwm5xsSXrHSbRcNJgRsjwHI1q3uVBI+oFAQK9Ow9flHCtm1G3KSua9lQMM25FznJB4uSoOnzpkNSgXbigWi/o6pcVRDobAfqKntk5HzO7du/U0seYsiMRUkLclbguLKYJJNPxNz3EqldLbmAiTSS9quXJu7Xw+j3Q6DaUUFixYgPb2dofVzpzrA4BDamF7pnODxCP3k95wOVcJ25DOC5I6dWfaGBnNlssHpoal3i3L3oEDBUZykKJ8IfVxkr5MjsopYqUnfWhoSEfLnGZDvgccTHjf6RxhlSnvDZ0stAYy4t6xY4eeoEr6wCvBzVXSCCxxWzSEYDCI7u5urFixAsPDwxgYGGjIj/pWhXSYmHNrSEscMHFJM/N/no/7urkVuI/pWZbShPn+uem27JeZGJTHyDZlH+Q10v3BClGSIclb9hM4MPiYcpF8Tf6WA5Nsk/fb7drk3CpmcY4pQfFJibZODkzTBUvcFg2ho6MDl19+OS688EL8x3/8B+68885p/eDONZgJTUab1GqZKAsGgzp6k+QBHCiM4Qx5JD+zHZkAlG1L2xsJTbpKZCk9f/P8JMlsNqt1ZPqxCbkYA8/NSJ6FQOZcK7t27UK5XEZHR4eei7y1tVXr+/l8Xv9IAuZCEyRamSjN5XJ6HhdOtNXV1YWOjg4tqchEL2UrWiJZGckImklX3lPaEpmPWLp0Kfbs2YOxsbGKDhO3p6/JwBK3RUOIRCJ6TvWXXnppgkXNwh1m9As4V4QxE2mE9GdL3Vva8ORvSd7SJ20W4zDylKXs8jV5DvZLTh1rRv1SQ+cAxQGI1ynth0zMxuNx3T6vj33mCjUcuFhZKUvXZUKTTh25TFk8HteTUMmVeqQmLhdElrMGMgLnE0M2m0U6nUaxWNRFVJwQy80RI+9fs2CJ28KiCTC/mJWsgObfTNDJRB2nVKXjgSRHSKI0I2LKDNIiSEKlZisf/6X9jdGy3Ea5QloAZWGL9GrLKJz9Nuceof+fGr+UQkiO1MQZPbNohnZAav28X7xO3otsNqtXiOcTBqtEI5GIXoR8ZGQEo6Ojej5u+RTCe06/Pc9P/3oymUShUEAqldJEPp1SoSVuC4smo5Kn243cSWbSIienO2XCTWriZvEHnQ/8TTnCJG5OnUriY1tKKe3AADBhvchCoYCRkREopdDS0qI9zyRdEndLS4tefYYOD1k+z7Utd+/ejcHBQe1kkaX+JEr6qEncY2NjOiLnQFIoFLTDA4B26ZDoOUMi+5hMJhGPx9HR0YFyuexYwozXLlfxAZyLvPB+s0ozm81ix44dGBgYmFBFKj8DzY62AUvcFhZNh/m4bIJ2wLGxMV3GLolCJiHNakDuI88l/2eE6yZdycSctN1JGUAm92QUHIlEHHKHlADYR7MiUvaB+9HiyOIZerFZUFMul/WqNPSMy/UspXXPlCTkQMRon0U/svKS+5mDJXCgSpMDAp8UeG9Z0MNoP5lMolgs6gHA7TPQbA83YInbwmJSqOaiqLQ/bWoAsHDhQnR3dyMSiThWuGFBCAmCuq50jZjeadOZYbomuI9ZDk53BEvZmRwl4cmJlmT7UtqQfm1pSaR2T006FAqhs7MTkUhEz4JIQlZq/yILL730kl5ogpM6UQahC4X3SpI1dW0ONPF4HAsXLtRPAMPDwyiVSkgkEnrwzOVyjnlIaFlsb29HLBZzuEU4TwtlIiZds9kstm7dqudRqTVwV/PXe8WMEDeTBvR4TsWjhIXFbAW1aZnkkwscyOlRpYVPkiEAHYUCcES50jIoYSYv2R77wNcYcbOoh/KMXAvTnCOEmjavz7TSyYQlZ+mLx+Nab6aMwlXtqWGby6SZc5yY94jgfWTBDAcH/kjyNyN3RtimbZADo7Q1JpNJvXam2+DtRfduRBufduLO5XL4j//4D7z66qs45phjcMEFFzjmQbCwONjh9/uxcOFC9Pb2IplMaoKQEa30SzN6ljIGdWlKKAyAJBHJwQCAQ+aQZe0A9Eo6lA/kpFMyspXRtiyeoSYvz0/9vlgsIhKJoKOjw6F/A/sThNTyY7EY2traAOznCWrH1NxjsRg6OzsRCoX0lLWMiCVxs12Sq3SzlMtlxxQDckpY3isOLrwffGLI5/MYGBjQtsVyuYx0Oq31dNNrDlRPWptuoHow7cRdKBTwy1/+Er/85S/xoQ99COecc44lbos5BT7Weo2m3CKxzs5OLFu2zGGNo6zAZKWUPtyIiVEpy7lNzzfbkhEiBwWz0pJkDRyYw0M+FZjnlgMICZCg5kvyVkohmUxquYVEWigUdPl+NBrV09fS4z0+Pu5Iera0tGDJkiUIBoMYGxvTMge92qb/nB51c75z6WWX/aHXnBq6XJGoVCppFwrnRudgRi3ejN6nEtNO3MFgEGvWrEFfXx+OP/54PduXhcVcQT2RUqV95BSl1LHpCZZuCzl9qYx6ZQQpE5Jm9aDZvtwHcHqv6Thh5C6jaJO0TYJif9keyZASSzQa1T5qebwshuFvDkLJZFIvSszpAMxiGLYlo122S2uilJAYOfP+yDJ1yiTcj9cinx7kfeSAw/7JJ6OpJvBpJ+5IJII/+qM/wh//8R8jHo/rRyMLi9mORnMx5peYpJjJZLTk4PP5tM+YSbZAIDCB7EjafHwn0dESJ33X5ux6csChjEISpEdagsuaSd+0XDSYkO0wamfkzHncZWUmBya5ejuvh0RPXZpLkclqS3lPpfwj7YkczDgwcBuXjJNJWIIyjrxP5XJZSyF8+mAbPp9Pr/+5Z88e/R5wcJH9nPOuEl7skiVLprtpC4tZAybG5LzPUhMmocgkH+BMzsnKyUrSjSkhABOLgUzrHiFL1qX2LVe3kecFDjhNeG4OMrKPsk9u7hf2x62IR1ZymolZti/941LWkpo9I21J3FKSMs8v77t8TbY1nSYLawe0sJhCyEhXEpQsSGHETd1WEgGJxSRbAA5CY6JQHmsSCUlJWvYY6ZpyAaN0EncqlUKhUEBXVxei0ajDmSGPk+tD+v1+PQMiiRiAnhdEFgnR5mf6w5mANF9jcpJPJ7IvtARKXZ/JRrkavTnQlUoljI+P6yifA0dra6vWxrPZrMNHnslkkE6n9dwopgzl9bNRLyxxW1h4RLMKKaQGzUgWODD5lLTJSinDLclpeqpl9CyjQu4j/dlmlM1o1pzQSSmlpzuViUiZ7CSxyhJ8v9+P8fFxTcAkwvHxceRyOV2EYyZMqVPTYidlEKnpSwlJkrvbdfLekHDNwZTnlqv48Pppg5QzAkpJSsoolRKUlT47jX6mLHFbWHhEvV+wShEX5QbOu0FylI/kJGJJZgA0aZpViXLBYZlAJOFU6ouMmCU5cn8SpNTaOS8Hf9xW2GGpPh0v0rJIQuZ2KaOQdEn2nAFR2hMBOOZ3kU8ISil9b+XARi2d18T93OQRPomwfWr/1MY5O2ChUMCePXvQ39+PVCpVNcKWsks1u6BXWOK2sGgQ5he10peQpCwj4Gg0qsul5aK78pzS4cDzm7ouI0OSIgldWvno9yYRsQ9sQ5a38zV57lAopJdSKxQKGBwc1OTI16mHM2FKe18sFtMkzj6StKlfc+CRZencJid8kjMTssKR5C0Ri8X01LcEr1HeO5bxS2ePdOhQymF159DQEIrFop4TJZvNYtu2bXrdSa92wGY8tVnitqgL6XQau3btclijdu3aNW3+1bmEWl9Qt2ShfHSW8ogkZelskJG3TLa5ETKJzi2Sl+eV55NJRFOO4UAg5/OWhGxKFfJ80qYn74Ep90iyNa19bvOV8Bi3QdUtb8B+8UmGiVS3ZKRsd3R0VM9CmMvlJjzVHHR2QIu5jd/85je45ZZbMDAwoLft2rVrwuxoByNMopWPvfVGUXIaVbmNEbiMThmhMjKnJY7FIvQmAwc8x5x3Q7ozZAKREyJJex+J0M3nLSe4KpfLerFj6TCJx+MTKhBlgRGTiDIxai7VxkhbqQPztDDyNucBMV0q7DcrKaWjRSYnZRm9LNeXyUwp4bBdFt4MDAzgzTffRCaTwb59+zAyMuKYP306ghhL3BZ1YXBwEM888wx27949IeKx8A6SqOn+MGURGX3TzSB90zxG6tkyaWYuXMDjpDQgV76RCUbZJ0acknSl51kppf3WACacAzhggTQtjdyfco6szAQO6PpmBCzvj2n1k4sfsA23yJ+vyxyBPIb3i9E29fyRkRHtMpHVpV7f+8nKJZa4LerCmjVr8Bd/8RfYuXMnHnjgAWzatGmmuzRnYMoMTM5JUjWnRwX2Ew6X72KyjDoyp0LlIMqqQ+ljps4tJ4qSWrfUpuU5OAOeJDk3SYGQHm7pPDE96JW0aZI2I17uxzm55T2UETP1dfZfDkZyJXgpG3Gb29Jv7Cv7wPeEmj5nLeTyZubg6+VzMFlY4raoC4cffjgOO+wwbN++HZs2bbLE/f+jVhQlSZuP5yRg6aUm0Zg6N4k7Go2ipaVFP/qTtEgglFikI2NsbMwxdwf7wfak7kyQWEmupr4so2B5fWaRjizTd3O88L7J+URImOxPJpPR85bw+mTiktfFAUj+L62Ksh9ScnHLBVDGkb53rp6zc+dOPZeKWXBUyWrYbFjitqgLjIbi8TiOOOIIDA8PY9euXdi6deuE5NZbAY1ET1I/disuMTVW6RzhI72UBiTJmX2T8gb3IYlJbVhqy3ShVEoMmueS8kMlqUFCSibyyUI+BZiJULeEoSRkmZh1q4ysRNpsz7xvPLZUKmlfeywW0xr+woULkUgksHv3bqTTacf7Ks8zVbDEbdEQuMr7JZdcgh/+8If4+7//e8cKIBaVXSPAgUQkZ8mTr1FGkSRFLzEjZUaS9DhLIjXnNYnFYppU5aIDklA5CVSpVNIRrnRfyAmbuE1GsewbfzPqZVQKHJjThC4MGYWzEtKcn19G4dJSyGulLc8cvMzSdu4rlyZjv+QCwjyWhJ3NZtHf36/nD6fN8eSTT0Ymk8Gjjz5a93qTzSD4GSFuLhQqly6ymFsIBoN6vpkFCxbY97AOSI23VCohEokAcNrYTN3ULYlpFspwu9yHBO52rAlZjCLn8OBrZtGPKQ8xijZdHqbbghKGuS/blbqx2/0w3STmE4v5JMP/pUwjr1/KJASdOblczjHfdqFQQGtrK5LJpB5I5IRdtdAs+WRGFlK499578dJLL+Htb387LrroIjtDoMVBhUoWQRn57dixA7lcDu3t7ejp6dGaLJNxcuIpeT7KVNKex4iVmjIjarm+olJK68KMoIEDg0WxWEQqlXJMX2q6Sfx+v9a9qfnKaJtVheVyWS8uLCUXtikHBenmAKCjXOlukYVDtD1KQqadjySay+X0OeRgIX8oDfGJh3ZW9iOVSun5WdLptH4S8fl8GBkZ0edva2vDihUrkE6ndYGO6TKRZN2sAGdGFlJ44okn8MQTT2BwcBAf+tCHLHFbzFlUIulq+5dKJQwODurijXnz5ml3CImWSUOTBDi/h4wQOdG/JG76xKWtzi25SGKlfVDuT0jy5hqQ8npJqnSv0CcuZRzTKSPdH3I7/efsk1JKr84uJSJ5/bI0nffCjKLl0wclKv5wNXngQBI2lUph3759mojlUwEnlAoEAkgkEkgkEti7d6+eoMokbfmEMGeJ2+Lgw8qVK/HhD38Ye/bswW9+8xsMDg7OdJdmFOaX05Q8/H4/Ojs7MX/+fLS2tjoet83km/xNH7GcNU9OdgTAIQVI66Hsh0xqyr9NnZc/UhuX85lwJkNuY7RM8uc5qY/L5CLbkpM+SU1eLhkmJQ4zeSvvmdSzeaw5JzngTEbymjg7oSR8rofJ/aSzh44gXlNra6u+fk461Ygs4vUYS9wWk8a6detw7LHH4sUXX8TnPve5tyRxe4m8+VowGERvby9Wr17tIENJ0nIpMB5jygpSCpGRKMlOFssAzvlJGF2zbVnFSEmDUTjbAg44RGQFIrV6ShQAtHwRCoX0vCEkUZK2nJeEBMgkJduXzg7pcXer+OQ1AfuTrfI65Xsg9XL2n08InIektbUVCxYs0BNsUSIZGxtzrbaMRCJoa2tDKpXC0NAQMpmM4z2thXpJfsYWUkgkEpg/f75j1i6LuYlYLIZYLIZ58+bpyjILd5j2PikJVNoXcM69Le1ybr5o0+pmukGAiQm5SsTh5ogh3KJ2N12cSUizD/Kcbn3nfZJPA+aP7Ic8jq/J+ybzBoz23YiV7bJgSXrHSdim7dHNrnlQ2QGj0Sg+8pGP4Oyzz0Z3d7fVty0OKrh9YU3SYpIvk8k4CnDkREUkGTnPiCRrWW0piUImC00LnUzMEVJyMIt/TIsdwXPJaN2ULlpaWibMMSJL63ksz8+kp1wRiOej+8zsr7xWSaIygm9paYHP59MLC2ezWT0FK+c+L5fLiMfjKJfLiEajUEohkUggFos5/PQkccA5HS7vE4ldvu/m35WezOQ994JpJ+5AIICjjjoK55577nQ3bTGFMKOlgxm1oqlq5C0jXroz5ERN8j6avmQZOQMHCMqtPRmVygURTNsbo0s5B4okQLdIXQ4ash9yHm3Owy11crnwgtSspRZt9ktKEbIfMrqX/ZT94XFSW5eDg8wrmDKRXOdSDhBMfkofPR07clBpFF6Ptxq3xaTx/PPP44knnsC2bduwe/fume7OlMMkCWBipFSJ3Ek4+XweY2NjjghNToxEhwir9qSmynalzGhGqfJ1EqNbtCcjXFNeqCankOyYiJSEyH6b5eCM6OXAIKUVJhVJnnKtSnMJN5NMzffH59s/TcDevXuRy+Uciw0zESnPI4uEeE3U69kOnyz4PsjqTEorZgFRJUxWSrHEbTFpPPnkk7jmmmswOjo6YarStwrcCNwkB/m4nM1mkU6n9YROUmtltMjEGWHKBLJ8W7o75Dk4AMhIXkaocpEFRqdyUYNKT1E8P+1xcv1MVkyaGjfbpqVR3hteh5x1UPbftChKEpVaN/vm9/sxNjaGV199FalUCp2dnWhtbXVMp+tWlMOV3/nDqNrv96OrqwttbW26n9yH55Ead72ol8gtcVtMGtRrZYRiURmMuOk8YBVepWpG+RvABIJ2q/wD3J8MuD+jcRmVc/5uvu5WQcltJH9JyJL0zcjYTEjKJwv2g08W0spnasPyHPJcZh+JcDisy9Sl9CHL7DkwyEFG/sgBRAYmHDB5Xik31Yt6yd4St4VFnTCjIy+ODPP4oaEh5HI5LFy4EN3d3Q49mAU40gMtC2bYvumFdnNHSGlCJtJIUIwwU6kU9u7dCwCa6KSLgiRNj7LUhQHofWUCEnCu0sNBgZWKoVAILS0tuhqU0SqrGYeGhlAoFPS5pS4uI34ZjZsJyqVLl6JQKGiSlk8qUiaRtsFK97NQKGB4eNiRl+BTSqFQQCqV0lWWUw1L3BYWk0At0pZRqTyGFYL5fF4Ts5s9TUoehPR9m/tXci9IKUU6WeQ8IuPj4/o4OUc3o2PKBoVCwdVtYq5oI0lWRtZypR8ZqVPbZgKTA5iUjmRf2G95P6Rrxufz6YpLM1nLCFpG23JAlMlPgnKQvC7ey3w+r50rbp+Jel0jtWCJ28JiCuFG2n6/H/Pnz8f8+fO1ZipXK5dkyu1y/mlZ+CHn9pYaLbVnkqLUugmpTxcKBR31k5QZhctzsF3TAgi4Jwol6cq5R/gjp101SZlRtkxO8jWWlks5R1r3pPQio2c5myDbZEUkI2hG/JQ+5FJnco4XlvaXy2UMDQ2hv78f4+PjDsmwkv1vsrDEbWFRJybrGvD795e89/X1aaKSRESYVjoey6iWFjSSt1nKzkiSfTa94CStTCbj8DRz33Q6jYGBAfh8+6eVDQaDempT9s+MvKXTha/LBCAAR4m/OYe2lDE4CEjtWCZV2U+Z3JUSEnBgJR66XVgdSUJmVJ/NZvXK9SR79plrZcZiMYcdsFgsYmhoSE/9umPHDocuP5WwxG1hMQWoRe50T1Q6TjolSGrSZ226SORSYTLhZi6i4CZd0O9MsuIgEg6H0dLSoiNpziNCEpe2wUrXLKUJMwErI2GzLJ19IxlLh4c8nsdSc6fmz1J6uRKP3I/bpJWP99C8Hh5rDoz0b/P+u0lXUwVL3BYWHuEl0jb3qaR3RiIRtLa26mhPFpOYOjWjPi4EAMBRkShJh4k8RpLcZlYXAgekklKphGg0ivb2dhQKBezZsweFQgFtbW3o6urSfWDkTbmA55CkaF63LO03NWpJnIx+eW30c0vbHe+VXGqMkoeUc9gvv9/vmAKXiMVijsGQkTaPlZKOlEuoy0u/ejKZhM/nw+jo6ITE7FQSuCVuC4spQq0vbjX908uX3i0RKZN4MrIm8Ur5AjhAktIpEQqF9OLCfCogOXJ/2Ua1Ih0TUt6QUpAkYFOLl+fmMXSBSKeMlIAo/ZgSi/nkIX/c7mmlgdc8frphidvCYhogCbRUKmFoaAhvvvkmotEo2traJhSCyGScjKopbZj6rumUkO4QJtdYbBMOh3WkmEgk9DwdlFY6OjqQSCQcEbKMWs2kndxPukB8Pp/Dr04wWuW1ANCRNKUMyiK8X2yPzo6hoSEd5dIySe3cLPqRVY+8pwC09CPvNwehbDark4yRSATRaFQnLhmhK6UwOjqqE5K8v7UGr2bAEreFRYOo91FYku3o6Cj6+/vR3t6Ojo4O/QgOHHBYAAe0a5IH25XOE0mssnCEBE7Nenx8HLlcDtFoFLFYTBMQXRR0oSSTSb2aDcnL9IOT6GVkKiNmEiVXQ5faMieUolccgEMqIXiNfI1tFgoFjI6OYnh4GJFIRE8GRSlDPhXw/rAtOahRqzcXZ+A9y2QyCAaDaGlpcWj6HCzof+fiEmZ1Z63PwmQw7cRdLBaxceNGxONx9Pb24vjjj9czf1nMHWQyGfz617/Gm2++iaeeeqquD+3BAjMRVenL6CZXjI6OarKJx+OamOXc2ZLsSqUSxsbGHATDiJXznrANs226JID9jg5qx7JCUZZvUwqQRSoyymf/OFjIwhbuS12dSU/q+vJ1Oe+HTFSaWrmUJnhcR0eHHnSYlORvGcmzb2Z5vPn+mVE6feUk6UAgoKPu0dFRvPnmm8jn8xgeHtb3v57EZDXXkRdMO3Fns1n85Cc/wU9/+lOce+65OPzwwy1xz0EMDw/jO9/5Dh5++GH9mPhWRiU91w3lchkDAwMYGhpCZ2cnfD4fYrEYFi9erFddIVGxMi+dTuvVxFlkkkwmEY1GHVPE0rImCYlJu3g8PmEbZQtGwSQU6bUG4JBiTHJKJBKOhKiULThwyJn6+HmRGrVMcMoCGgkpd3BxBvZdQloKpbbNv02LoHxi4T5cSk5aBLmOQCqVwgsvvICxsTFHtC7zC27+/WZiRqSSTCaDTCaDdDo9YZ4Bi7kBRo1vxdVumgFZtSdXsjHJjJM2Sc2b3xnp6KA7Q/6u9t2Skgr/J2TiUlYzyvalri7Lz7mvPLdMHHJfyhYkXTOhKknXhEnIfHIwr0NGtZUSwWalpdmGbEsSsnxSmC7vtoTVuC0sPMLr462bXFHpNToiAOhFayUh0yoYi8UQj8e19iy1axnxcd4M4IAlTkoq5hwoshJTyjPUuqm9c2mv0dFRPU1qLBbTx8nqReDAwgiSrHkvqNXzelnNmMvlHHOK8Bhp++M5ONjJpwdZxGR6toEDcgjBhKh5HyhN8f3h35lMRt+/5cuXI5PJYMeOHRgZGXEs5VYNtT4/XgcAS9wWniAjKGDiclFvFUxWm5TnIXg+OidkFC2rGqX+LQmK5yOZy/95XpIdI3gSlZxe1SS4SCSCeDyuy7+lz5ykaEJeC2H6qGVlo1xUQc5vYv5wO6+LRMn5r2XELSWQSmQs77eUgXj98v3htdM1AgDt7e0Ih8Po7+931ekbQT3HWuK2qIl8Po/HHnsMzz33nN42PDyMzZs3z1ynZglqJaQqad/8sicSCSxcuFAn2oADs9UB0LYzOUsgNWwSkrSzyfmhpdNETo4k9yMp0UEiNdpkMomWlhaUy2X9JEA9HnAu3iDJVV63WXgjCV0OVIzgTUufKZlwG++L1K7Zrqy4ZNTvlmiVpfdmpWo0GkUikUCxWMTY2JhODmezWZ1TKBQKGBkZccwsWE+CcjKwxG1RE7lcDvfffz/uvPNOvY1k8FZDrSRkJZeJJFrggCMkmUxi8eLFiEajSKVSmgT4CB+NRnWyjwQkJ4MiGTJKZIKRjggAE2a/AyZa7biwA4mqUCigo6MD7e3tjsg3HA4jHo9rmYPkafqnpf7LvvKeuFn/aNeThUBygDPdH0xUUieX0oo5QMk5ULiNTxtcDZ7RPu9LLBZDIpHA2NgY9u3bh7GxMWzfvh0DAwMOK6S5alGlz0kzntIkpp24/X4/li1bhgULFmDlypWO8lmL2YXR0VFs3boV/f392LlzJ3K53Ex3acYxWanEjEpJmvI1WcAiI2dGr5LQ5HllAs6UGaSsIiELdkh+dFFIKUSWtLN9JgWlRi6TlFIf5v9u7RN8euDTBiUhDkZ8QpBt8m85OCilJiR03dqUAwu3yYWVaaBIp9MYGxvTerzsx0zJhTOyyvtFF12EP/zDP0R7e7td5X0W49VXX8X111+PzZs3Y+fOnTPdnVkDN7cC4D4/diVw32w2i127diEajerFBGS0TAInkTCxyG1mpMhoVVrn5LSkppRRKpV05Mwlwzo7Ox0FLNwHOLCYLqNVnoPJUco4nF5W6u4E+yGXEZPb5Kx91Pd5LZy/nPdIesZlYpQDiRyUuEyc9K1LbZrFNqFQCHv37sXu3buRSqXw+uuvY3x8XPenEmF7ed8rPZHVixmJuBltS6O8xcxCKeVIvgDAwMAAXn75ZWzatGkGezZ7UW+05Ub4srCGazGaSTVGoiwJr9UP+dgubX9mtG96jvl9ZMRNZ4ipVxNSF2afSZbVSKnSkwKPld5yN71eavryeszkqtlXUyZiP6UVkbM2FotFpNNpjI6OYmxsDOPj4472zKeb6ca0E3cul8N9992HLVu24Oijj8b555+P1tbW6e6GhYG9e/fixz/+sSPhuHPnTr2clUXjMD3E0kGRyWQwODiITCajk2lyPhIZcQMHokmTsEiiJCguDybtcpQE5Aov0q7HaF1GvHI+Etm+BPuQy+UmDBg8l5R+pHddaudSKwf2F/bwXKbMIyN5twV6GaXL6zSfNnifx8fHMTIygkgkgnnz5kEpheHhYWzbtk2Xs1ci50rSWbPcR5Uw7cRdKBTw6KOP4rHHHsN5552Hs846yxL3LMDQ0BDuvfde/M///I/e9la0+zUKL5GwhFylJpVKIZvNal80nSOMGvmbZEB5QUoI5pOr9GyTvKVsIAcTRpp0atDfTNeHvBbKJjLqZT+kS4XtkqTNpwD2hYRKTZ1kzCpQEqu5EDUJle3K6F9G/twmnS28bkotpVJJJ2Y5oKbTaezZs6fq+1vrva5HFqn3uzZjrhKlFHbt2oVHHnkE3d3dOPLII7Fw4cKZ6s5bFm+88QZefvllnYS0ZD01qPTFlQU1uVxOk7dcKozHywpBQkbDkhArJeT4NwlS2gJlEtAtMer220ymym2Ac04Tujm4XSYvSfgyWcpJr1icY0beMnnp5ugwiZMROEFpanh4GKOjo8hms3j99dcRj8frrgh2a3Mq4VMeW5qKsD8Wi6GjowOLFy/GV77yFZxxxhlNb8OiOn70ox/h+uuvx/DwsF55fKYxWwePenRbr8eR2MLhMHp7e/V8GFz9XEbMjJpNT7YkbDof5LGcI4TtyXO4OVHMlW2AA1ErdWe5LzVxGYUTbqX3jNBlYpTEL2UUDi6cypX9BvbPVRKJRCZMjMXz8pzSFy6Jm0nYeDyOF198EY8//rjuC/M9cu4W83013+9q77/c35TNJORxtb4DM+rjHh8fx/j4OEqlEnbt2oU9e/YgHo/ruYItmoN0Oj1hTmRi586d2LFjB9Lp9DT36uBEIwlLShK5XA65XM4xxaucQU/+yOP5I+c7IYlxH0oIco4UE9LWJ6sIZVtSkjFn3JP7ul2naf1z+1v+b9oY5Tnktcp7ZT51MD8g7YHsK3MAnPTKXKV9phKPXjCjETcRjUZx7LHHoqenB6effjouuugibTWymBxyuRx+9KMf4aGHHnIllddeew3PPffcrCqmmUsRd7XIqZ4oPBAIoLW1FZFIBIlEQkfehx56KFpaWnQESEjdVi5qwCiRM/u59a9UKmmd3BwYJDjVLGUaqY1LQpWrz5skLrXybDbrmFNFyhzmQgflclkHdewX5wyn11veAzknC/tRKBS0dm0mJtm3YrGoV7OX9kq5r9coudr+td5/NwmsGmZF5WQ2m8UTTzwBAJg3bx4uvPDCGe7RwYNCoYBnn30WP/7xj2ctIR5s8BLkmI/XpVJJr6ZC8lVq/2K0XKGGMhYJSk4pKq16ZmQuE4tSzy6XyxMmm5K6s5xnm5o7iZHkLxOMTKpKW560FLL/pk7OfWWZu7Q/8nqZiGR1p0xYyj4y0ZnL5TA4OOjYTz5RDA0NaZsf71M1kvbyntaz72R08VlB3BIvv/wyvvvd76K7uxunnHIKFixYMNNdmvVIp9P43//9X+zYsWPCa7lcDi+88IIl7SlCpfvqlbzl/lKn5kILQ0ND+vVwOIx8Po9UKqXL2Els5mRLJDppyQPgqDyUVkDux2OlFRGAJlHKJVKOkAMD++pmOWSpPiN0qYlLCyQHBjOS57kCgYCeAzyXy+m5RFggI2dD5L3i/eaAJisya8FLbqMeB4mbNDRnXCWV8MQTT+C3v/0t1q5dq0vjLaqjv78fGzZswKOPPjrhNRKBRXNRK1qq18criZNSQLFYxJ49e5DL5fS8Ifl8Hv39/XoKVC7dxWSmjLSp69KdQV82ydGMoOn6kMk8novRNSsnzSIYasnSDiiTgZx3BYCuepTFNnIuE9kfmXhkNM1BwOfzob+/H/39/chmsxgYGEA2m9Xn4NODdN1Ueh/rhRmZVyLfahLJZLT0WUfcfLTq7+/Ha6+95vB4x+NxLFq0SE9FebBhaGgI+/btQzgcxqJFixw6fyaTwe7duyeUDwP7LX379u3DyMjIdHbXwiMmk7AcHR11kGk2m9Vl3sCBaVFJojLBKKsHTXsfyUJGzPJYuThxpX3kzHpuSVPZJ5m4ZLGPnFLVJGlztj0OZpzmluA6mhzopK3QzRZ5sGBWJCfdEI/HcdhhhzmI+21vexs+97nPYcmSJdPal+mAUgr33HMP7rzzTvT09ODqq6/G4Ycfrl9/+umncdNNN7nOGZLJZLB582YMDw9PY4+nDrP1y1bNCdHMPktrG+cvSSaT+mfp0qUIBoMYHBxEOp1GLBZDa2urJlqfb/90sYlEwpHkMzVuOQkT9Wm2SfmFETavTyYpzUV2mRAtl/evjiQXBJaVmVwtnXJFoVDQ1aMAtJzCmRFZcj4yMoKtW7cin8/r6Rnk4hPymrzqx82KuL0e43V/twnBJGZdxE1kMhnH/M/A/pvELLHcdrDMd7Jr1y5s3LgRK1ascGhzwH45ZOPGjXj99ddnroMWFVGPTllrX6kdj4yMwOfbPxlVJpPRCcVoNIrh4WFNxJKEKTWYSUqpI1Mjlz5rOWmTJHL2GTgQPZvzfcipUkmgrGzk04GUYMzIP5/Pa8eIdMUEAgdWoE+n00ilUjrKNsv/vfqgK7lDGk1Iej1O9nOygfCsjbjd0NfXh/Xr12PevHl62xFHHIEzzzxTL4Q6l7Fx40Y88sgjE0qEAWDz5s144IEHdLLqYMZsj7gr6ZTmtmrnqIfkgQPzVVMujEaj6OrqQmtrK9rb27F48WIA++ecyWQyepbBcrmMsbEx7Tzhj5xVsFwu69kJmfjj7IQmyZCUpYuDIKmXSiUMDw+jUCggGo3qAh1G0BwQMpmMLvoaGBjQ06jyyZGzFXLxgvHxcQwMDGit3m0yq3qSjbUSipX06XoSkdXOWe3YWhH3nCJuM9MNABdeeCFuvvlmzJ8/fwZ71hzwS/T888/j8ssvxzPPPON4zaxKO1gxF4nb3G7CLcqSpF9vhBiNRvG+970PRx11FBYtWoTVq1ejUCjgueeew549e3TkKteLlJG5eQ1c8SUYDCIej+t5Q/L5vGNfWhYjkciE6k4+JUj/NBckoPRByYSOmTfeeAO5XA7pdBq5XA67du3CG2+8oZ8EpE5dSbOuVxbxmqScCpmllp+bmLNSiRtk5p3YvXs3Nm7ciPb29gn7J5NJrFixAslkcpp6uD9Z8uqrr04qUfjqq68ilUq5JiItZg+8DjCSeOp9rK/0erFYxMDAAN58800toZRKJWzbtg2Dg4OaUOUcJJRYTH1a/nCObPrG6YEmkciZ/kw/NuUOLunFiJsuEhI2f4+MjKC/vx/5fB5jY2OO5KMMVBoZyM37XIkg65E53IpkJhPQTurYuRRxu6G1tRWLFi1yXbh0zZo1uO6667BmzZpp68+WLVtwzTXX4Nlnn234HNlsFjt37pwwI9pbBbM94ubftaKneq+jnuOZgORESSRkJu1aWlrQ1tamZ/4LBAJYtmwZlixZglwup3MoJFpKJbTc+Xw+jI6OIp1Oa40ZABYtWqSDJEbAlC0GBgawY8cOfX4ueiCdIYBTJ+ex7Le5OEQ9UW89Tz/VjvXaRq12arVZDQdVxO2GkZGRitFtKBTCwMDAtM7DMTg4iC1btuD3v//9tLVpcXCimoSilMLo6ChGR0cd+5MomZwMBoM64pWrt7DcW1Y2yijd5/Npmx0Xx1VKORYUZvUlZRgmD1n4Igtc5MRWpt8cgGNCJ7c5T7wMlG8lzPmIuxrmz58/7dWXQ0ND+OUvf+mYy9eiPsz2iLtWcrLaa/Vo2ZORCFiYI50l7e3taG1tdczKJ6sNpR0wGAxq+2E6ncaWLVswPj6OtrY2xONxfayUWbLZrK5izGazE9abrBYRy9cr3d96nnAmkzSs1UYj7dY76BxUyUmLtwYOFuJ2Q6PE7ZUQ5P5MGJqz8kkLrSx8AfZbAjs6OhCNRrF48WIsXboUg4OD+M1vfoNUKqWtgnJiK9kHuaDBZFFrIKuUbJwsV9UaYOqVTrwmQyUOeqnEwmI2otKX36vfe7KJMOkFd3tNTpUqz6+U0gUtXEyAxTQAHLq02/lnYtCtx0Pv9XzNfE32r1kBsI24LWYdZmvE7aa9epVDvHx/Gk1mNpu05I8558d0vDf1WvO8OkimApXa9DLQVuuvjbgtLKYQzY72ZhrVyLlRQqykTx9M9226YYnbwsIjKkVI9UTTjVTfyWNq6etu5/ViqWtEvqnV30baqHbOSuRfTa6ZqujbS1K6FibTt8prDVlYWLiiWlTa7CjS1Me97G9a7bycvxLZ1nOuevrotq8caJp1H2udq9ZrlXIEMw0bcVtYNAAviahax9dLANUGi2ZElmaE3sh5a1n63Patda7JwEshTr3HzgaZxxK3hYVH1BvFAtUf2839JvPYXas/jSbuvCRamxmVTgcpzhTpNmuABaxUYmHhGc2KkN1QLbqbLGQ/poK0mkVGjQwujbRtOmcq9aPZaEaBFWEjbguLOtBosYdXy5pbVFaP1dBrktFLtD9Z1Iqe3frNvjTDXmmiHoterX3rLYjy2ievx1vitrCYATRKliYZNkq4U104czDUfTSzKrbZsMRtYdEg6omUqunA9TpHGtm3GZD2O6/XXinqltc+WcKrdI5GbJuN7DuZYxqFJW4Li2mEV291IyXuldryur8b3MivlsWukrXQre1mOUuaVVZer6e9kWi8lgXTC2xy0sKiATRLomjWviYmk7SrhkYtdCT7Rq//YJBevMDrPbIRt4VFnZisO6CeghCv5FUvsU01EdbrqPEShXu1WTYDtc7vtS+NJrNrwUbcFhZThHqrDs1j3wpo5nXOhns2XQlKG3FbWEwCtaJnSd5eoy+pgXrVUmvNW+KlXa+ve23H3LdWMVK9kXatfRuFF51b3m+vfW8mbMRtYTFNaMQ94iXBOJWFQdxfaq/1uDXcrtnLwFGtQGY6YA4W0zFg1ANL3BYWdaLeBFsjibnpRD2a+2QIqtpAY2rcjd6zeq6lGedxu6bJJpW93GMrlVhYNAAz+pwMwXj5okp7YCOVdl76Ues1L9WCXgt76vFxe71Gt6pHt/5Uk26q2SprXYvbNiuVWFjMIniNjJrh9qjW1nQVitSSQ6ZT1pjKduZKstQuXWYx6zBbJYVKGu1UzfVhMXtRKRncrM+BXbrMwsLCosmYTNVjM2CJ28LCI7hYcCMJu2ZonpUiukb08nr2r3WeRqyKlfpj7lfpNa/6dD1oNHdg6vS13qNK+9XVppVKLGYbZqtUEgqFtNOBj7Km3a0RJ4TXL7q5fzPuk1cyddt3Mn30OifIXMVkE8i1jrHJSQuLOYaDmfAsvMFzxG1hYWFhMTtgI24LCwuLOQZL3BYWFhZzDJa4LSwsLOYYLHFbWFhYzDFY4rawsLCYY7DEbWFhYTHHYInbwsLCYo7BEreFhYXFHIMlbgsLC4s5hv8PRC34aZ42NgQAAAAASUVORK5CYII=\n",
-                        "text/plain": [
-                            "<Figure size 400x200 with 2 Axes>"
-                        ]
-                    },
-                    "metadata": {},
-                    "output_type": "display_data"
-                },
-                {
-                    "name": "stderr",
-                    "output_type": "stream",
-                    "text": [
-                        "Epoch 100: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 6/6 [00:02<00:00,  2.50it/s, loss=0.0171]\n",
-                        "Epoch 101: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 6/6 [00:02<00:00,  2.40it/s, loss=0.0172]\n",
-                        "Epoch 102: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 6/6 [00:02<00:00,  2.44it/s, loss=0.0167]\n",
-                        "Epoch 103: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 6/6 [00:02<00:00,  2.46it/s, loss=0.0167]\n",
-                        "Epoch 104: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 6/6 [00:02<00:00,  2.46it/s, loss=0.0146]\n",
-                        "Epoch 105: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 6/6 [00:02<00:00,  2.49it/s, loss=0.0157]\n",
-                        "Epoch 106: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 6/6 [00:02<00:00,  2.28it/s, loss=0.0152]\n",
-                        "Epoch 107: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 6/6 [00:02<00:00,  2.26it/s, loss=0.0166]\n",
-                        "Epoch 108: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 6/6 [00:02<00:00,  2.26it/s, loss=0.0155]\n",
-                        "Epoch 109: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 6/6 [00:02<00:00,  2.26it/s, loss=0.0154]\n",
-                        "Epoch 110: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 6/6 [00:02<00:00,  2.26it/s, loss=0.0185]\n",
-                        "Epoch 111: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 6/6 [00:02<00:00,  2.21it/s, loss=0.0159]\n",
-                        "Epoch 112: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 6/6 [00:02<00:00,  2.25it/s, loss=0.0143]\n",
-                        "Epoch 113: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 6/6 [00:02<00:00,  2.30it/s, loss=0.015]\n",
-                        "Epoch 114: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 6/6 [00:02<00:00,  2.19it/s, loss=0.0215]\n",
-                        "Epoch 115: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 6/6 [00:02<00:00,  2.02it/s, loss=0.0169]\n",
-                        "Epoch 116: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 6/6 [00:02<00:00,  2.05it/s, loss=0.0141]\n",
-                        "Epoch 117: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 6/6 [00:02<00:00,  2.16it/s, loss=0.0189]\n",
-                        "Epoch 118: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 6/6 [00:02<00:00,  2.18it/s, loss=0.0162]\n",
-                        "Epoch 119: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 6/6 [00:02<00:00,  2.09it/s, loss=0.0159]\n",
-                        "Epoch 120: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 6/6 [00:02<00:00,  2.10it/s, loss=0.015]\n",
-                        "Epoch 121: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 6/6 [00:02<00:00,  2.08it/s, loss=0.0177]\n",
-                        "Epoch 122: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 6/6 [00:02<00:00,  2.27it/s, loss=0.0164]\n",
-                        "Epoch 123: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 6/6 [00:02<00:00,  2.02it/s, loss=0.017]\n",
-                        "Epoch 124: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 6/6 [00:02<00:00,  2.10it/s, loss=0.0195]\n",
-                        "sampling...: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 1000/1000 [00:32<00:00, 30.41it/s]\n"
-                    ]
-                },
-                {
-                    "data": {
-                        "image/png": 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\n",
-                        "text/plain": [
-                            "<Figure size 400x200 with 2 Axes>"
-                        ]
-                    },
-                    "metadata": {},
-                    "output_type": "display_data"
-                },
-                {
-                    "name": "stderr",
-                    "output_type": "stream",
-                    "text": [
-                        "Epoch 125: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 6/6 [00:02<00:00,  2.48it/s, loss=0.0163]\n",
-                        "Epoch 126: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 6/6 [00:02<00:00,  2.45it/s, loss=0.02]\n",
-                        "Epoch 127: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 6/6 [00:02<00:00,  2.36it/s, loss=0.0159]\n",
-                        "Epoch 128: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 6/6 [00:02<00:00,  2.41it/s, loss=0.0201]\n",
-                        "Epoch 129: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 6/6 [00:02<00:00,  2.40it/s, loss=0.0148]\n",
-                        "Epoch 130: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 6/6 [00:02<00:00,  2.36it/s, loss=0.0153]\n",
-                        "Epoch 131: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 6/6 [00:02<00:00,  2.37it/s, loss=0.0175]\n",
-                        "Epoch 132: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 6/6 [00:02<00:00,  2.38it/s, loss=0.0178]\n",
-                        "Epoch 133: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 6/6 [00:02<00:00,  2.23it/s, loss=0.018]\n",
-                        "Epoch 134: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 6/6 [00:02<00:00,  2.29it/s, loss=0.0179]\n",
-                        "Epoch 135: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 6/6 [00:02<00:00,  2.22it/s, loss=0.0153]\n",
-                        "Epoch 136: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 6/6 [00:02<00:00,  2.24it/s, loss=0.0173]\n",
-                        "Epoch 137: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 6/6 [00:02<00:00,  2.11it/s, loss=0.0164]\n",
-                        "Epoch 138: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 6/6 [00:02<00:00,  2.16it/s, loss=0.0165]\n",
-                        "Epoch 139: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 6/6 [00:03<00:00,  1.97it/s, loss=0.0146]\n",
-                        "Epoch 140: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 6/6 [00:02<00:00,  2.02it/s, loss=0.0188]\n",
-                        "Epoch 141: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 6/6 [00:02<00:00,  2.08it/s, loss=0.0194]\n",
-                        "Epoch 142: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 6/6 [00:02<00:00,  2.26it/s, loss=0.0143]\n",
-                        "Epoch 143: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 6/6 [00:03<00:00,  2.00it/s, loss=0.0154]\n",
-                        "Epoch 144: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 6/6 [00:02<00:00,  2.12it/s, loss=0.012]\n",
-                        "Epoch 145: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 6/6 [00:02<00:00,  2.00it/s, loss=0.0198]\n",
-                        "Epoch 146: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 6/6 [00:02<00:00,  2.16it/s, loss=0.0224]\n",
-                        "Epoch 147: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 6/6 [00:02<00:00,  2.18it/s, loss=0.0152]\n",
-                        "Epoch 148: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 6/6 [00:02<00:00,  2.11it/s, loss=0.018]\n",
-                        "Epoch 149: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 6/6 [00:02<00:00,  2.09it/s, loss=0.018]\n",
-                        "sampling...: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 1000/1000 [00:32<00:00, 30.67it/s]\n"
-                    ]
-                },
-                {
-                    "data": {
-                        "image/png": 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\n",
-                        "text/plain": [
-                            "<Figure size 400x200 with 2 Axes>"
-                        ]
-                    },
-                    "metadata": {},
-                    "output_type": "display_data"
-                },
-                {
-                    "name": "stdout",
-                    "output_type": "stream",
-                    "text": [
-                        "train completed, total time: 599.0462603569031.\n"
-                    ]
-                }
-            ],
-            "source": [
-                "n_epochs = 150\n",
-                "val_interval = 25\n",
-                "epoch_loss_list = []\n",
-                "val_epoch_loss_list = []\n",
-                "\n",
-                "scaler = GradScaler()\n",
-                "total_start = time.time()\n",
-                "for epoch in range(n_epochs):\n",
-                "    model.train()\n",
-                "    epoch_loss = 0\n",
-                "    progress_bar = tqdm(enumerate(train_loader), total=len(train_loader), ncols=70)\n",
-                "    progress_bar.set_description(f\"Epoch {epoch}\")\n",
-                "    for step, batch in progress_bar:\n",
-                "        images = batch[\"image\"].to(device)\n",
-                "        masks = batch[\"mask\"].to(device)\n",
-                "\n",
-                "        optimizer.zero_grad(set_to_none=True)\n",
-                "\n",
-                "        with autocast(enabled=True):\n",
-                "            # Generate random noise\n",
-                "            noise = torch.randn_like(images).to(device)\n",
-                "\n",
-                "            # Create timesteps\n",
-                "            timesteps = torch.randint(\n",
-                "                0, inferer.scheduler.num_train_timesteps, (images.shape[0],), device=images.device\n",
-                "            ).long()\n",
-                "\n",
-                "            images_noised = scheduler.add_noise(images, noise=noise, timesteps=timesteps)\n",
-                "\n",
-                "            # Get controlnet output\n",
-                "            down_block_res_samples, mid_block_res_sample = controlnet(\n",
-                "                x=images_noised, timesteps=timesteps, controlnet_cond=masks\n",
-                "            )\n",
-                "            # Get model prediction\n",
-                "            noise_pred = model(\n",
-                "                x=images_noised,\n",
-                "                timesteps=timesteps,\n",
-                "                down_block_additional_residuals=down_block_res_samples,\n",
-                "                mid_block_additional_residual=mid_block_res_sample,\n",
-                "            )\n",
-                "\n",
-                "            loss = F.mse_loss(noise_pred.float(), noise.float())\n",
-                "\n",
-                "        scaler.scale(loss).backward()\n",
-                "        scaler.step(optimizer)\n",
-                "        scaler.update()\n",
-                "\n",
-                "        epoch_loss += loss.item()\n",
-                "\n",
-                "        progress_bar.set_postfix({\"loss\": epoch_loss / (step + 1)})\n",
-                "    epoch_loss_list.append(epoch_loss / (step + 1))\n",
-                "\n",
-                "    if (epoch + 1) % val_interval == 0:\n",
-                "        model.eval()\n",
-                "        val_epoch_loss = 0\n",
-                "        for step, batch in enumerate(val_loader):\n",
-                "            images = batch[\"image\"].to(device)\n",
-                "            masks = batch[\"mask\"].to(device)\n",
-                "\n",
-                "            with torch.no_grad():\n",
-                "                with autocast(enabled=True):\n",
-                "                    noise = torch.randn_like(images).to(device)\n",
-                "                    timesteps = torch.randint(\n",
-                "                        0, inferer.scheduler.num_train_timesteps, (images.shape[0],), device=images.device\n",
-                "                    ).long()\n",
-                "                    noise_pred = inferer(inputs=images, diffusion_model=model, noise=noise, timesteps=timesteps)\n",
-                "                    val_loss = F.mse_loss(noise_pred.float(), noise.float())\n",
-                "\n",
-                "            val_epoch_loss += val_loss.item()\n",
-                "            progress_bar.set_postfix({\"val_loss\": val_epoch_loss / (step + 1)})\n",
-                "            break\n",
-                "        val_epoch_loss_list.append(val_epoch_loss / (step + 1))\n",
-                "\n",
-                "        # Sampling image during training with controlnet conditioning\n",
-                "        progress_bar_sampling = tqdm(scheduler.timesteps, total=len(scheduler.timesteps), ncols=110)\n",
-                "        progress_bar_sampling.set_description(\"sampling...\")\n",
-                "        sample = torch.randn((1, 1, 64, 64)).to(device)\n",
-                "        for t in progress_bar_sampling:\n",
-                "            with torch.no_grad():\n",
-                "                with autocast(enabled=True):\n",
-                "                    down_block_res_samples, mid_block_res_sample = controlnet(\n",
-                "                        x=sample, timesteps=torch.Tensor((t,)).to(device).long(), controlnet_cond=masks[0, None, ...]\n",
-                "                    )\n",
-                "                    noise_pred = model(\n",
-                "                        sample,\n",
-                "                        timesteps=torch.Tensor((t,)).to(device),\n",
-                "                        down_block_additional_residuals=down_block_res_samples,\n",
-                "                        mid_block_additional_residual=mid_block_res_sample,\n",
-                "                    )\n",
-                "                    sample, _ = scheduler.step(model_output=noise_pred, timestep=t, sample=sample)\n",
-                "\n",
-                "        plt.subplots(1, 2, figsize=(4, 2))\n",
-                "        plt.subplot(1, 2, 1)\n",
-                "        plt.imshow(masks[0, 0].cpu(), vmin=0, vmax=1, cmap=\"gray\")\n",
-                "        plt.axis(\"off\")\n",
-                "        plt.title(\"Conditioning mask\")\n",
-                "        plt.subplot(1, 2, 2)\n",
-                "        plt.imshow(sample[0, 0].cpu(), vmin=0, vmax=1, cmap=\"gray\")\n",
-                "        plt.axis(\"off\")\n",
-                "        plt.title(\"Sample image\")\n",
-                "        plt.tight_layout()\n",
-                "        plt.axis(\"off\")\n",
-                "        plt.show()\n",
-                "\n",
-                "total_time = time.time() - total_start\n",
-                "print(f\"train completed, total time: {total_time}.\")"
-            ]
-        },
-        {
-            "cell_type": "markdown",
-            "id": "b005e3bd-54b9-44bc-964d-ca0c9585a139",
-            "metadata": {},
-            "source": [
-                "## Sample with ControlNet conditioning\n",
-                "First we'll provide a few different masks from the validation data as conditioning. The samples should respect the shape of the conditioning mask, but don't need to have the same content as the corresponding validation image."
-            ]
-        },
-        {
-            "cell_type": "code",
-            "execution_count": 14,
-            "id": "262a5129-9445-4ecc-a37a-a97c59386747",
-            "metadata": {},
-            "outputs": [
-                {
-                    "name": "stderr",
-                    "output_type": "stream",
-                    "text": [
-                        "sampling...: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 1000/1000 [00:37<00:00, 27.00it/s]\n"
-                    ]
-                },
-                {
-                    "data": {
-                        "image/png": 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\n",
-                        "text/plain": [
-                            "<Figure size 600x800 with 24 Axes>"
-                        ]
-                    },
-                    "metadata": {},
-                    "output_type": "display_data"
-                }
-            ],
-            "source": [
-                "progress_bar_sampling = tqdm(scheduler.timesteps, total=len(scheduler.timesteps), ncols=110, position=0, leave=True)\n",
-                "progress_bar_sampling.set_description(\"sampling...\")\n",
-                "num_samples = 8\n",
-                "sample = torch.randn((num_samples, 1, 64, 64)).to(device)\n",
-                "\n",
-                "val_batch = first(val_loader)\n",
-                "val_images = val_batch[\"image\"].to(device)\n",
-                "val_masks = val_batch[\"mask\"].to(device)\n",
-                "for t in progress_bar_sampling:\n",
-                "    with torch.no_grad():\n",
-                "        with autocast(enabled=True):\n",
-                "            down_block_res_samples, mid_block_res_sample = controlnet(\n",
-                "                x=sample, timesteps=torch.Tensor((t,)).to(device).long(), controlnet_cond=val_masks[:num_samples, ...]\n",
-                "            )\n",
-                "            noise_pred = model(\n",
-                "                sample,\n",
-                "                timesteps=torch.Tensor((t,)).to(device),\n",
-                "                down_block_additional_residuals=down_block_res_samples,\n",
-                "                mid_block_additional_residual=mid_block_res_sample,\n",
-                "            )\n",
-                "            sample, _ = scheduler.step(model_output=noise_pred, timestep=t, sample=sample)\n",
-                "\n",
-                "plt.subplots(num_samples, 3, figsize=(6, 8))\n",
-                "for k in range(num_samples):\n",
-                "    plt.subplot(num_samples, 3, k * 3 + 1)\n",
-                "    plt.imshow(val_masks[k, 0, ...].cpu(), vmin=0, vmax=1, cmap=\"gray\")\n",
-                "    plt.axis(\"off\")\n",
-                "    if k == 0:\n",
-                "        plt.title(\"Conditioning mask\")\n",
-                "    plt.subplot(num_samples, 3, k * 3 + 2)\n",
-                "    plt.imshow(val_images[k, 0, ...].cpu(), vmin=0, vmax=1, cmap=\"gray\")\n",
-                "    plt.axis(\"off\")\n",
-                "    if k == 0:\n",
-                "        plt.title(\"Actual val image\")\n",
-                "    plt.subplot(num_samples, 3, k * 3 + 3)\n",
-                "    plt.imshow(sample[k, 0, ...].cpu(), vmin=0, vmax=1, cmap=\"gray\")\n",
-                "    plt.axis(\"off\")\n",
-                "    if k == 0:\n",
-                "        plt.title(\"Sampled image\")\n",
-                "plt.tight_layout()\n",
-                "plt.show()"
-            ]
-        },
-        {
-            "cell_type": "markdown",
-            "id": "a1ca8274-d85c-4dcc-9c16-08ac2b6ce0fd",
-            "metadata": {},
-            "source": [
-                "What happens if we invent some masks? Let's try a circle, and a square"
-            ]
-        },
-        {
-            "cell_type": "code",
-            "execution_count": 15,
-            "id": "393fca6c-2446-4822-8aad-44403761b40e",
-            "metadata": {},
-            "outputs": [
-                {
-                    "name": "stderr",
-                    "output_type": "stream",
-                    "text": [
-                        "sampling...: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 1000/1000 [00:16<00:00, 61.51it/s]\n"
-                    ]
-                },
-                {
-                    "data": {
-                        "image/png": 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\n",
-                        "text/plain": [
-                            "<Figure size 400x400 with 4 Axes>"
-                        ]
-                    },
-                    "metadata": {},
-                    "output_type": "display_data"
-                }
-            ],
-            "source": [
-                "xx, yy = np.mgrid[:64, :64]\n",
-                "circle = ((xx - 32) ** 2 + (yy - 32) ** 2) < 30**2\n",
-                "\n",
-                "square = np.zeros((64, 64))\n",
-                "square[10:50, 10:50] = 1\n",
-                "\n",
-                "mask = np.concatenate((circle[None, None, ...], square[None, None, ...]), axis=0)\n",
-                "mask = torch.from_numpy(mask.astype(np.float32)).to(device)\n",
-                "\n",
-                "\n",
-                "progress_bar_sampling = tqdm(scheduler.timesteps, total=len(scheduler.timesteps), ncols=110, position=0, leave=True)\n",
-                "progress_bar_sampling.set_description(\"sampling...\")\n",
-                "num_samples = 2\n",
-                "sample = torch.randn((num_samples, 1, 64, 64)).to(device)\n",
-                "\n",
-                "for t in progress_bar_sampling:\n",
-                "    with torch.no_grad():\n",
-                "        with autocast(enabled=True):\n",
-                "            down_block_res_samples, mid_block_res_sample = controlnet(\n",
-                "                x=sample, timesteps=torch.Tensor((t,)).to(device).long(), controlnet_cond=mask\n",
-                "            )\n",
-                "            noise_pred = model(\n",
-                "                sample,\n",
-                "                timesteps=torch.Tensor((t,)).to(device),\n",
-                "                down_block_additional_residuals=down_block_res_samples,\n",
-                "                mid_block_additional_residual=mid_block_res_sample,\n",
-                "            )\n",
-                "            sample, _ = scheduler.step(model_output=noise_pred, timestep=t, sample=sample)\n",
-                "\n",
-                "plt.subplots(num_samples, 2, figsize=(4, 4))\n",
-                "for k in range(num_samples):\n",
-                "    plt.subplot(num_samples, 2, k * 2 + 1)\n",
-                "    plt.imshow(mask[k, 0, ...].cpu(), vmin=0, vmax=1, cmap=\"gray\")\n",
-                "    plt.axis(\"off\")\n",
-                "    if k == 0:\n",
-                "        plt.title(\"Conditioning mask\")\n",
-                "    plt.subplot(num_samples, 2, k * 2 + 2)\n",
-                "    plt.imshow(sample[k, 0, ...].cpu(), vmin=0, vmax=1, cmap=\"gray\")\n",
-                "    plt.axis(\"off\")\n",
-                "    if k == 0:\n",
-                "        plt.title(\"Sampled image\")\n",
-                "plt.tight_layout()\n",
-                "plt.show()"
-            ]
-        }
-    ],
-    "metadata": {
-        "jupytext": {
-            "formats": "py:percent,ipynb"
-        },
-        "kernelspec": {
-            "display_name": "Python 3 (ipykernel)",
-            "language": "python",
-            "name": "python3"
-        },
-        "language_info": {
-            "codemirror_mode": {
-                "name": "ipython",
-                "version": 3
-            },
-            "file_extension": ".py",
-            "mimetype": "text/x-python",
-            "name": "python",
-            "nbconvert_exporter": "python",
-            "pygments_lexer": "ipython3",
-            "version": "3.8.13"
-        },
-        "vscode": {
-            "interpreter": {
-                "hash": "4f1513a79f82193cb81c96943579af15c6a44d6347609348bde584197ab7b1ab"
-            }
-        }
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "id": "70eef519",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Copyright (c) MONAI Consortium\n",
+    "# Licensed under the Apache License, Version 2.0 (the \"License\");\n",
+    "# you may not use this file except in compliance with the License.\n",
+    "# You may obtain a copy of the License at\n",
+    "#     http://www.apache.org/licenses/LICENSE-2.0\n",
+    "# Unless required by applicable law or agreed to in writing, software\n",
+    "# distributed under the License is distributed on an \"AS IS\" BASIS,\n",
+    "# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n",
+    "# See the License for the specific language governing permissions and\n",
+    "# limitations under the License."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "63d95da6",
+   "metadata": {},
+   "source": [
+    "# Using ControlNet to control image generation\n",
+    "\n",
+    "This tutorial illustrates how to use MONAI Generative Models to train a ControlNet [1]. ControlNets are hypernetworks that allow for supplying extra conditioning to ready-trained diffusion models. In this example, we will walk through training a ControlNet that allows us to specify a whole-brain mask that the sampled image must respect.\n",
+    "\n",
+    "\n",
+    "\n",
+    "In summary, the tutorial will cover the following:\n",
+    "1. Loading and preprocessing a dataset (we extract the brain MRI dataset 2D slices from 3D volumes from the BraTS dataset)\n",
+    "2. Training a 2D diffusion model\n",
+    "3. Freeze the diffusion model and train a ControlNet\n",
+    "3. Conditional sampling with the ControlNet\n",
+    "\n",
+    "[1] - Zhang et al. [Adding Conditional Control to Text-to-Image Diffusion Models](https://arxiv.org/abs/2302.05543)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "id": "022890b1-ea44-4c60-8a80-ed1fc755f90b",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "!python -c \"import monai\" || pip install -q \"monai-weekly[tqdm]\"\n",
+    "!python -c \"import matplotlib\" || pip install -q matplotlib\n",
+    "%matplotlib inline"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "6b766027",
+   "metadata": {},
+   "source": [
+    "## Setup environment"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "972ed3f3",
+   "metadata": {
+    "jupyter": {
+     "outputs_hidden": false
     },
-    "nbformat": 4,
-    "nbformat_minor": 5
+    "lines_to_next_cell": 2
+   },
+   "outputs": [],
+   "source": [
+    "import os\n",
+    "import tempfile\n",
+    "import time\n",
+    "import os\n",
+    "import matplotlib.pyplot as plt\n",
+    "import numpy as np\n",
+    "import torch\n",
+    "import torch.nn.functional as F\n",
+    "from monai import transforms\n",
+    "from monai.apps import DecathlonDataset\n",
+    "from monai.config import print_config\n",
+    "from monai.data import DataLoader\n",
+    "from monai.utils import first, set_determinism\n",
+    "from torch.cuda.amp import GradScaler, autocast\n",
+    "from tqdm import tqdm\n",
+    "\n",
+    "\n",
+    "from generative.inferers import ControlNetDiffusionInferer\n",
+    "from generative.networks.nets import DiffusionModelUNet, ControlNet\n",
+    "from generative.networks.schedulers import DDPMScheduler\n",
+    "\n",
+    "print_config()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "7d4ff515",
+   "metadata": {},
+   "source": [
+    "### Setup data directory"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "id": "8b4323e7",
+   "metadata": {
+    "jupyter": {
+     "outputs_hidden": false
+    }
+   },
+   "outputs": [],
+   "source": [
+    "directory = os.environ.get(\"MONAI_DATA_DIRECTORY\")\n",
+    "root_dir = \"/tmp/tmpb89d70u5/\" #tempfile.mkdtemp() if directory is None else directory"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "99175d50",
+   "metadata": {},
+   "source": [
+    "### Set deterministic training for reproducibility"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "id": "34ea510f",
+   "metadata": {
+    "jupyter": {
+     "outputs_hidden": false
+    }
+   },
+   "outputs": [],
+   "source": [
+    "set_determinism(42)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "c3f70dd1-236a-47ff-a244-575729ad92ba",
+   "metadata": {
+    "tags": []
+   },
+   "source": [
+    "## Setup BRATS dataset\n",
+    "\n",
+    "We now download the BraTS dataset and extract the 2D slices from the 3D volumes.\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "87977bac-ff5e-4612-b9f2-b069d6ad9e9a",
+   "metadata": {},
+   "source": [
+    "### Specify transforms\n",
+    "We create a rough brain mask by thresholding the image."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "id": "c68d2d91-9a0b-4ac1-ae49-f4a64edbd82a",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "channel = 0\n",
+    "assert channel in [0, 1, 2, 3], \"Choose a valid channel\"\n",
+    "\n",
+    "train_transforms = transforms.Compose(\n",
+    "    [\n",
+    "        transforms.LoadImaged(keys=[\"image\"]),\n",
+    "        transforms.EnsureChannelFirstd(keys=[\"image\"]),\n",
+    "        transforms.Lambdad(keys=[\"image\"], func=lambda x: x[channel, :, :, :]),\n",
+    "        transforms.EnsureChannelFirstd(keys=[\"image\"], channel_dim=\"no_channel\"),\n",
+    "        transforms.EnsureTyped(keys=[\"image\"]),\n",
+    "        transforms.Orientationd(keys=[\"image\"], axcodes=\"RAS\"),\n",
+    "        transforms.Spacingd(keys=[\"image\"], pixdim=(3.0, 3.0, 2.0), mode=\"bilinear\"),\n",
+    "        transforms.CenterSpatialCropd(keys=[\"image\"], roi_size=(64, 64, 44)),\n",
+    "        transforms.ScaleIntensityRangePercentilesd(keys=\"image\", lower=0, upper=99.5, b_min=0, b_max=1),\n",
+    "        transforms.RandSpatialCropd(keys=[\"image\"], roi_size=(64, 64, 1), random_size=False),\n",
+    "        transforms.Lambdad(keys=[\"image\"], func=lambda x: x.squeeze(-1)),\n",
+    "        transforms.CopyItemsd(keys=[\"image\"], times=1, names=[\"mask\"]),\n",
+    "        transforms.Lambdad(keys=[\"mask\"], func=lambda x: torch.where(x > 0.1, 1, 0)),\n",
+    "        transforms.FillHolesd(keys=[\"mask\"]),\n",
+    "        transforms.CastToTyped(keys=[\"mask\"], dtype=np.float32),\n",
+    "    ]\n",
+    ")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "9d378ac6",
+   "metadata": {},
+   "source": [
+    "### Load training and validation datasets"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "id": "da1927b0",
+   "metadata": {
+    "jupyter": {
+     "outputs_hidden": false
+    }
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "2023-12-13 16:10:42,349 - ERROR - check_hash failed 7b218bce011d7f4c971c0c147f86cf2d.\n"
+     ]
+    },
+    {
+     "ename": "RuntimeError",
+     "evalue": "md5 check of existing file failed: filepath=/tmp/tmpb89d70u5/Task01_BrainTumour.tar, expected md5=240a19d752f0d9e9101544901065d872.",
+     "output_type": "error",
+     "traceback": [
+      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
+      "\u001b[0;31mRuntimeError\u001b[0m                              Traceback (most recent call last)",
+      "Cell \u001b[0;32mIn[10], line 1\u001b[0m\n\u001b[0;32m----> 1\u001b[0m train_ds \u001b[38;5;241m=\u001b[39m \u001b[43mDecathlonDataset\u001b[49m\u001b[43m(\u001b[49m\n\u001b[1;32m      2\u001b[0m \u001b[43m    \u001b[49m\u001b[43mroot_dir\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mroot_dir\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m      3\u001b[0m \u001b[43m    \u001b[49m\u001b[43mtask\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mTask01_BrainTumour\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m,\u001b[49m\n\u001b[1;32m      4\u001b[0m \u001b[43m    \u001b[49m\u001b[43msection\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mtraining\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m,\u001b[49m\n\u001b[1;32m      5\u001b[0m \u001b[43m    \u001b[49m\u001b[43mcache_rate\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;241;43m1.0\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m  \u001b[49m\u001b[38;5;66;43;03m# you may need a few Gb of RAM... Set to 0 otherwise\u001b[39;49;00m\n\u001b[1;32m      6\u001b[0m \u001b[43m    \u001b[49m\u001b[43mnum_workers\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;241;43m4\u001b[39;49m\u001b[43m,\u001b[49m\n\u001b[1;32m      7\u001b[0m \u001b[43m    \u001b[49m\u001b[43mdownload\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;28;43;01mTrue\u001b[39;49;00m\u001b[43m,\u001b[49m\n\u001b[1;32m      8\u001b[0m \u001b[43m    \u001b[49m\u001b[43mseed\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;241;43m0\u001b[39;49m\u001b[43m,\u001b[49m\n\u001b[1;32m      9\u001b[0m \u001b[43m    \u001b[49m\u001b[43mtransform\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mtrain_transforms\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m     10\u001b[0m \u001b[43m)\u001b[49m\n\u001b[1;32m     11\u001b[0m \u001b[38;5;28mprint\u001b[39m(\u001b[38;5;124mf\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mLength of training data: \u001b[39m\u001b[38;5;132;01m{\u001b[39;00m\u001b[38;5;28mlen\u001b[39m(train_ds)\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m\"\u001b[39m)\n\u001b[1;32m     12\u001b[0m \u001b[38;5;28mprint\u001b[39m(\u001b[38;5;124mf\u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mTrain image shape \u001b[39m\u001b[38;5;132;01m{\u001b[39;00mtrain_ds[\u001b[38;5;241m0\u001b[39m][\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mimage\u001b[39m\u001b[38;5;124m\"\u001b[39m]\u001b[38;5;241m.\u001b[39mshape\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m'\u001b[39m)\n",
+      "File \u001b[0;32m~/PycharmProjects/GenerativeModels/venv/lib/python3.9/site-packages/monai/apps/datasets.py:314\u001b[0m, in \u001b[0;36mDecathlonDataset.__init__\u001b[0;34m(self, root_dir, task, section, transform, download, seed, val_frac, cache_num, cache_rate, num_workers, progress, copy_cache, as_contiguous, runtime_cache)\u001b[0m\n\u001b[1;32m    312\u001b[0m tarfile_name \u001b[38;5;241m=\u001b[39m \u001b[38;5;124mf\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;132;01m{\u001b[39;00mdataset_dir\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m.tar\u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[1;32m    313\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m download:\n\u001b[0;32m--> 314\u001b[0m     \u001b[43mdownload_and_extract\u001b[49m\u001b[43m(\u001b[49m\n\u001b[1;32m    315\u001b[0m \u001b[43m        \u001b[49m\u001b[43murl\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mresource\u001b[49m\u001b[43m[\u001b[49m\u001b[43mtask\u001b[49m\u001b[43m]\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m    316\u001b[0m \u001b[43m        \u001b[49m\u001b[43mfilepath\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mtarfile_name\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m    317\u001b[0m \u001b[43m        \u001b[49m\u001b[43moutput_dir\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mroot_dir\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m    318\u001b[0m \u001b[43m        \u001b[49m\u001b[43mhash_val\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mmd5\u001b[49m\u001b[43m[\u001b[49m\u001b[43mtask\u001b[49m\u001b[43m]\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m    319\u001b[0m \u001b[43m        \u001b[49m\u001b[43mhash_type\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mmd5\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m,\u001b[49m\n\u001b[1;32m    320\u001b[0m \u001b[43m        \u001b[49m\u001b[43mprogress\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mprogress\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m    321\u001b[0m \u001b[43m    \u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m    323\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m dataset_dir\u001b[38;5;241m.\u001b[39mexists():\n\u001b[1;32m    324\u001b[0m     \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mRuntimeError\u001b[39;00m(\n\u001b[1;32m    325\u001b[0m         \u001b[38;5;124mf\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mCannot find dataset directory: \u001b[39m\u001b[38;5;132;01m{\u001b[39;00mdataset_dir\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m, please use download=True to download it.\u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[1;32m    326\u001b[0m     )\n",
+      "File \u001b[0;32m~/PycharmProjects/GenerativeModels/venv/lib/python3.9/site-packages/monai/apps/utils.py:314\u001b[0m, in \u001b[0;36mdownload_and_extract\u001b[0;34m(url, filepath, output_dir, hash_val, hash_type, file_type, has_base, progress)\u001b[0m\n\u001b[1;32m    312\u001b[0m \u001b[38;5;28;01mwith\u001b[39;00m tempfile\u001b[38;5;241m.\u001b[39mTemporaryDirectory() \u001b[38;5;28;01mas\u001b[39;00m tmp_dir:\n\u001b[1;32m    313\u001b[0m     filename \u001b[38;5;241m=\u001b[39m filepath \u001b[38;5;129;01mor\u001b[39;00m Path(tmp_dir, _basename(url))\u001b[38;5;241m.\u001b[39mresolve()\n\u001b[0;32m--> 314\u001b[0m     \u001b[43mdownload_url\u001b[49m\u001b[43m(\u001b[49m\u001b[43murl\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43murl\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mfilepath\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mfilename\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mhash_val\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mhash_val\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mhash_type\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mhash_type\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mprogress\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mprogress\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m    315\u001b[0m     extractall(filepath\u001b[38;5;241m=\u001b[39mfilename, output_dir\u001b[38;5;241m=\u001b[39moutput_dir, file_type\u001b[38;5;241m=\u001b[39mfile_type, has_base\u001b[38;5;241m=\u001b[39mhas_base)\n",
+      "File \u001b[0;32m~/PycharmProjects/GenerativeModels/venv/lib/python3.9/site-packages/monai/apps/utils.py:192\u001b[0m, in \u001b[0;36mdownload_url\u001b[0;34m(url, filepath, hash_val, hash_type, progress, **gdown_kwargs)\u001b[0m\n\u001b[1;32m    190\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m filepath\u001b[38;5;241m.\u001b[39mexists():\n\u001b[1;32m    191\u001b[0m     \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m check_hash(filepath, hash_val, hash_type):\n\u001b[0;32m--> 192\u001b[0m         \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mRuntimeError\u001b[39;00m(\n\u001b[1;32m    193\u001b[0m             \u001b[38;5;124mf\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;132;01m{\u001b[39;00mhash_type\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m check of existing file failed: filepath=\u001b[39m\u001b[38;5;132;01m{\u001b[39;00mfilepath\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m, expected \u001b[39m\u001b[38;5;132;01m{\u001b[39;00mhash_type\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m=\u001b[39m\u001b[38;5;132;01m{\u001b[39;00mhash_val\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m.\u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[1;32m    194\u001b[0m         )\n\u001b[1;32m    195\u001b[0m     logger\u001b[38;5;241m.\u001b[39minfo(\u001b[38;5;124mf\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mFile exists: \u001b[39m\u001b[38;5;132;01m{\u001b[39;00mfilepath\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m, skipped downloading.\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n\u001b[1;32m    196\u001b[0m     \u001b[38;5;28;01mreturn\u001b[39;00m\n",
+      "\u001b[0;31mRuntimeError\u001b[0m: md5 check of existing file failed: filepath=/tmp/tmpb89d70u5/Task01_BrainTumour.tar, expected md5=240a19d752f0d9e9101544901065d872."
+     ]
+    }
+   ],
+   "source": [
+    "train_ds = DecathlonDataset(\n",
+    "    root_dir=root_dir,\n",
+    "    task=\"Task01_BrainTumour\",\n",
+    "    section=\"training\",\n",
+    "    cache_rate=1.0,  # you may need a few Gb of RAM... Set to 0 otherwise\n",
+    "    num_workers=4,\n",
+    "    download=True,\n",
+    "    seed=0,\n",
+    "    transform=train_transforms,\n",
+    ")\n",
+    "print(f\"Length of training data: {len(train_ds)}\")\n",
+    "print(f'Train image shape {train_ds[0][\"image\"].shape}')\n",
+    "\n",
+    "val_ds = DecathlonDataset(\n",
+    "    root_dir=root_dir,\n",
+    "    task=\"Task01_BrainTumour\",\n",
+    "    section=\"validation\",\n",
+    "    cache_rate=1.0,  # you may need a few Gb of RAM... Set to 0 otherwise\n",
+    "    num_workers=4,\n",
+    "    download=False,\n",
+    "    seed=0,\n",
+    "    transform=train_transforms,\n",
+    ")\n",
+    "print(f\"Length of val data: {len(val_ds)}\")\n",
+    "print(f'Validation image shape {val_ds[0][\"image\"].shape}')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "8e4d6164-00e5-4663-a678-1391438574e9",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "train_loader = DataLoader(train_ds, batch_size=64, shuffle=True, num_workers=4, drop_last=True, persistent_workers=True)\n",
+    "val_loader = DataLoader(val_ds, batch_size=64, shuffle=False, num_workers=4, drop_last=True, persistent_workers=True)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "5d86ba60-84d2-49f2-95c1-2ab611310d84",
+   "metadata": {},
+   "source": [
+    "### Visualise the images and masks"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "17a5e9a4-9756-400b-8dbd-0f1d457ad3dd",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "check_data = first(train_loader)\n",
+    "print(f\"Batch shape: {check_data['image'].shape}\")\n",
+    "image_visualisation = torch.cat(\n",
+    "    (\n",
+    "        torch.cat(\n",
+    "            [\n",
+    "                check_data[\"image\"][0, 0],\n",
+    "                check_data[\"image\"][1, 0],\n",
+    "                check_data[\"image\"][2, 0],\n",
+    "                check_data[\"image\"][3, 0],\n",
+    "            ],\n",
+    "            dim=1,\n",
+    "        ),\n",
+    "        torch.cat(\n",
+    "            [check_data[\"mask\"][0, 0], check_data[\"mask\"][1, 0], check_data[\"mask\"][2, 0], check_data[\"mask\"][3, 0]],\n",
+    "            dim=1,\n",
+    "        ),\n",
+    "    ),\n",
+    "    dim=0,\n",
+    ")\n",
+    "plt.figure(figsize=(6, 3))\n",
+    "plt.imshow(image_visualisation, vmin=0, vmax=1, cmap=\"gray\")\n",
+    "plt.axis(\"off\")\n",
+    "plt.tight_layout()\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "de29d929-bc99-4235-aea6-d6867c3d360c",
+   "metadata": {},
+   "source": [
+    "## Train the Diffusion model\n",
+    "In general, a ControlNet can be trained in combination with a pre-trained, frozen diffusion model. In this case we will quickly train the diffusion model first."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "08428bc6",
+   "metadata": {},
+   "source": [
+    "### Define network, scheduler, optimizer, and inferer"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "bee5913e",
+   "metadata": {
+    "lines_to_next_cell": 2,
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "device = torch.device(\"cuda\")\n",
+    "\n",
+    "model = DiffusionModelUNet(\n",
+    "    spatial_dims=2,\n",
+    "    in_channels=1,\n",
+    "    out_channels=1,\n",
+    "    num_channels=(128, 256, 256),\n",
+    "    attention_levels=(False, True, True),\n",
+    "    num_res_blocks=1,\n",
+    "    num_head_channels=256,\n",
+    ")\n",
+    "model.to(device)\n",
+    "\n",
+    "scheduler = DDPMScheduler(num_train_timesteps=1000)\n",
+    "\n",
+    "optimizer = torch.optim.Adam(params=model.parameters(), lr=2.5e-5)\n",
+    "\n",
+    "inferer = DiffusionInferer(scheduler)\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "f815ff34",
+   "metadata": {},
+   "source": [
+    "### Run training\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "9a4fc901",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "n_epochs = 150\n",
+    "val_interval = 25\n",
+    "epoch_loss_list = []\n",
+    "val_epoch_loss_list = []\n",
+    "\n",
+    "scaler = GradScaler()\n",
+    "total_start = time.time()\n",
+    "for epoch in range(n_epochs):\n",
+    "    model.train()\n",
+    "    epoch_loss = 0\n",
+    "    progress_bar = tqdm(enumerate(train_loader), total=len(train_loader), ncols=70)\n",
+    "    progress_bar.set_description(f\"Epoch {epoch}\")\n",
+    "    for step, batch in progress_bar:\n",
+    "        images = batch[\"image\"].to(device)\n",
+    "        optimizer.zero_grad(set_to_none=True)\n",
+    "\n",
+    "        with autocast(enabled=True):\n",
+    "            # Generate random noise\n",
+    "            noise = torch.randn_like(images).to(device)\n",
+    "\n",
+    "            # Create timesteps\n",
+    "            timesteps = torch.randint(\n",
+    "                0, inferer.scheduler.num_train_timesteps, (images.shape[0],), device=images.device\n",
+    "            ).long()\n",
+    "\n",
+    "            # Get model prediction\n",
+    "            noise_pred = inferer(inputs=images, diffusion_model=model, noise=noise, timesteps=timesteps)\n",
+    "\n",
+    "            loss = F.mse_loss(noise_pred.float(), noise.float())\n",
+    "\n",
+    "        scaler.scale(loss).backward()\n",
+    "        scaler.step(optimizer)\n",
+    "        scaler.update()\n",
+    "\n",
+    "        epoch_loss += loss.item()\n",
+    "\n",
+    "        progress_bar.set_postfix({\"loss\": epoch_loss / (step + 1)})\n",
+    "    epoch_loss_list.append(epoch_loss / (step + 1))\n",
+    "\n",
+    "    if (epoch + 1) % val_interval == 0:\n",
+    "        model.eval()\n",
+    "        val_epoch_loss = 0\n",
+    "        for step, batch in enumerate(val_loader):\n",
+    "            images = batch[\"image\"].to(device)\n",
+    "            with torch.no_grad():\n",
+    "                with autocast(enabled=True):\n",
+    "                    noise = torch.randn_like(images).to(device)\n",
+    "                    timesteps = torch.randint(\n",
+    "                        0, inferer.scheduler.num_train_timesteps, (images.shape[0],), device=images.device\n",
+    "                    ).long()\n",
+    "                    noise_pred = inferer(inputs=images, diffusion_model=model, noise=noise, timesteps=timesteps)\n",
+    "                    val_loss = F.mse_loss(noise_pred.float(), noise.float())\n",
+    "\n",
+    "            val_epoch_loss += val_loss.item()\n",
+    "            progress_bar.set_postfix({\"val_loss\": val_epoch_loss / (step + 1)})\n",
+    "        val_epoch_loss_list.append(val_epoch_loss / (step + 1))\n",
+    "\n",
+    "        # Sampling image during training\n",
+    "        noise = torch.randn((1, 1, 64, 64))\n",
+    "        noise = noise.to(device)\n",
+    "        scheduler.set_timesteps(num_inference_steps=1000)\n",
+    "        with autocast(enabled=True):\n",
+    "            image = inferer.sample(input_noise=noise, diffusion_model=model, scheduler=scheduler)\n",
+    "\n",
+    "        plt.figure(figsize=(2, 2))\n",
+    "        plt.imshow(image[0, 0].cpu(), vmin=0, vmax=1, cmap=\"gray\")\n",
+    "        plt.tight_layout()\n",
+    "        plt.axis(\"off\")\n",
+    "        plt.show()\n",
+    "\n",
+    "total_time = time.time() - total_start\n",
+    "print(f\"train completed, total time: {total_time}.\")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "fd2b79a4",
+   "metadata": {},
+   "source": [
+    "## Train the ControlNet"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "73524090-2924-4967-8774-45e795f45bb4",
+   "metadata": {},
+   "source": [
+    "### Set up models"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "06181aa6-1c4b-415d-9973-df6f44693935",
+   "metadata": {
+    "lines_to_next_cell": 2
+   },
+   "outputs": [],
+   "source": [
+    "# Create control net\n",
+    "controlnet = ControlNet(\n",
+    "    spatial_dims=2,\n",
+    "    in_channels=1,\n",
+    "    num_channels=(128, 256, 256),\n",
+    "    attention_levels=(False, True, True),\n",
+    "    num_res_blocks=1,\n",
+    "    num_head_channels=256,\n",
+    "    conditioning_embedding_num_channels=(16,),\n",
+    ")\n",
+    "# Copy weights from the DM to the controlnet\n",
+    "controlnet.load_state_dict(model.state_dict(), strict=False)\n",
+    "controlnet = controlnet.to(device)\n",
+    "# Now, we freeze the parameters of the diffusion model.\n",
+    "for p in model.parameters():\n",
+    "    p.requires_grad = False\n",
+    "optimizer = torch.optim.Adam(params=controlnet.parameters(), lr=2.5e-5)\n",
+    "controlnet_inferer = ControlNetDiffusionInferer(scheduler)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "94d2e5e7-8633-4d1d-a323-7e74c963641c",
+   "metadata": {
+    "tags": []
+   },
+   "source": [
+    "### Run ControlNet training"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 13,
+   "id": "78053aaf-2009-405b-904e-0e5d301018eb",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "Epoch 0: 100%|█████████████| 6/6 [00:02<00:00,  2.42it/s, loss=0.0229]\n",
+      "Epoch 1: 100%|█████████████| 6/6 [00:02<00:00,  2.42it/s, loss=0.0182]\n",
+      "Epoch 2: 100%|█████████████| 6/6 [00:02<00:00,  2.32it/s, loss=0.0206]\n",
+      "Epoch 3: 100%|█████████████| 6/6 [00:02<00:00,  2.37it/s, loss=0.0223]\n",
+      "Epoch 4: 100%|█████████████| 6/6 [00:02<00:00,  2.34it/s, loss=0.0193]\n",
+      "Epoch 5: 100%|█████████████| 6/6 [00:02<00:00,  2.29it/s, loss=0.0216]\n",
+      "Epoch 6: 100%|██████████████| 6/6 [00:02<00:00,  2.22it/s, loss=0.019]\n",
+      "Epoch 7: 100%|█████████████| 6/6 [00:02<00:00,  2.26it/s, loss=0.0179]\n",
+      "Epoch 8: 100%|█████████████| 6/6 [00:02<00:00,  2.28it/s, loss=0.0188]\n",
+      "Epoch 9: 100%|█████████████| 6/6 [00:02<00:00,  2.20it/s, loss=0.0219]\n",
+      "Epoch 10: 100%|████████████| 6/6 [00:02<00:00,  2.29it/s, loss=0.0185]\n",
+      "Epoch 11: 100%|████████████| 6/6 [00:02<00:00,  2.32it/s, loss=0.0202]\n",
+      "Epoch 12: 100%|█████████████| 6/6 [00:03<00:00,  1.62it/s, loss=0.021]\n",
+      "Epoch 13: 100%|████████████| 6/6 [00:02<00:00,  2.15it/s, loss=0.0239]\n",
+      "Epoch 14: 100%|████████████| 6/6 [00:02<00:00,  2.23it/s, loss=0.0182]\n",
+      "Epoch 15: 100%|████████████| 6/6 [00:02<00:00,  2.24it/s, loss=0.0192]\n",
+      "Epoch 16: 100%|████████████| 6/6 [00:02<00:00,  2.19it/s, loss=0.0192]\n",
+      "Epoch 17: 100%|████████████| 6/6 [00:02<00:00,  2.29it/s, loss=0.0223]\n",
+      "Epoch 18: 100%|████████████| 6/6 [00:02<00:00,  2.16it/s, loss=0.0224]\n",
+      "Epoch 19: 100%|████████████| 6/6 [00:02<00:00,  2.13it/s, loss=0.0215]\n",
+      "Epoch 20: 100%|████████████| 6/6 [00:02<00:00,  2.24it/s, loss=0.0186]\n",
+      "Epoch 21: 100%|████████████| 6/6 [00:02<00:00,  2.19it/s, loss=0.0191]\n",
+      "Epoch 22: 100%|████████████| 6/6 [00:02<00:00,  2.16it/s, loss=0.0159]\n",
+      "Epoch 23: 100%|████████████| 6/6 [00:02<00:00,  2.15it/s, loss=0.0179]\n",
+      "Epoch 24: 100%|█████████████| 6/6 [00:02<00:00,  2.23it/s, loss=0.018]\n",
+      "sampling...: 100%|████████████████████████████████████████████████████████| 1000/1000 [00:31<00:00, 31.75it/s]\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 400x200 with 2 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "Epoch 25: 100%|████████████| 6/6 [00:02<00:00,  2.47it/s, loss=0.0192]\n",
+      "Epoch 26: 100%|████████████| 6/6 [00:02<00:00,  2.44it/s, loss=0.0151]\n",
+      "Epoch 27: 100%|████████████| 6/6 [00:02<00:00,  2.50it/s, loss=0.0205]\n",
+      "Epoch 28: 100%|████████████| 6/6 [00:02<00:00,  2.42it/s, loss=0.0161]\n",
+      "Epoch 29: 100%|████████████| 6/6 [00:02<00:00,  2.45it/s, loss=0.0193]\n",
+      "Epoch 30: 100%|████████████| 6/6 [00:02<00:00,  2.41it/s, loss=0.0176]\n",
+      "Epoch 31: 100%|████████████| 6/6 [00:02<00:00,  2.41it/s, loss=0.0202]\n",
+      "Epoch 32: 100%|████████████| 6/6 [00:02<00:00,  2.38it/s, loss=0.0161]\n",
+      "Epoch 33: 100%|████████████| 6/6 [00:02<00:00,  2.37it/s, loss=0.0186]\n",
+      "Epoch 34: 100%|████████████| 6/6 [00:02<00:00,  2.30it/s, loss=0.0204]\n",
+      "Epoch 35: 100%|████████████| 6/6 [00:02<00:00,  2.35it/s, loss=0.0161]\n",
+      "Epoch 36: 100%|████████████| 6/6 [00:02<00:00,  2.21it/s, loss=0.0129]\n",
+      "Epoch 37: 100%|████████████| 6/6 [00:02<00:00,  2.18it/s, loss=0.0174]\n",
+      "Epoch 38: 100%|████████████| 6/6 [00:02<00:00,  2.25it/s, loss=0.0201]\n",
+      "Epoch 39: 100%|██████████████| 6/6 [00:02<00:00,  2.24it/s, loss=0.02]\n",
+      "Epoch 40: 100%|████████████| 6/6 [00:02<00:00,  2.10it/s, loss=0.0183]\n",
+      "Epoch 41: 100%|████████████| 6/6 [00:02<00:00,  2.20it/s, loss=0.0199]\n",
+      "Epoch 42: 100%|████████████| 6/6 [00:02<00:00,  2.18it/s, loss=0.0228]\n",
+      "Epoch 43: 100%|████████████| 6/6 [00:02<00:00,  2.18it/s, loss=0.0151]\n",
+      "Epoch 44: 100%|████████████| 6/6 [00:02<00:00,  2.23it/s, loss=0.0135]\n",
+      "Epoch 45: 100%|█████████████| 6/6 [00:02<00:00,  2.23it/s, loss=0.016]\n",
+      "Epoch 46: 100%|████████████| 6/6 [00:02<00:00,  2.28it/s, loss=0.0205]\n",
+      "Epoch 47: 100%|████████████| 6/6 [00:02<00:00,  2.05it/s, loss=0.0194]\n",
+      "Epoch 48: 100%|████████████| 6/6 [00:02<00:00,  2.16it/s, loss=0.0188]\n",
+      "Epoch 49: 100%|████████████| 6/6 [00:02<00:00,  2.28it/s, loss=0.0194]\n",
+      "sampling...: 100%|████████████████████████████████████████████████████████| 1000/1000 [00:32<00:00, 30.98it/s]\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 400x200 with 2 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "Epoch 50: 100%|████████████| 6/6 [00:02<00:00,  2.51it/s, loss=0.0175]\n",
+      "Epoch 51: 100%|█████████████| 6/6 [00:02<00:00,  2.47it/s, loss=0.019]\n",
+      "Epoch 52: 100%|████████████| 6/6 [00:02<00:00,  2.37it/s, loss=0.0191]\n",
+      "Epoch 53: 100%|████████████| 6/6 [00:02<00:00,  2.46it/s, loss=0.0197]\n",
+      "Epoch 54: 100%|████████████| 6/6 [00:02<00:00,  2.41it/s, loss=0.0194]\n",
+      "Epoch 55: 100%|████████████| 6/6 [00:02<00:00,  2.42it/s, loss=0.0202]\n",
+      "Epoch 56: 100%|████████████| 6/6 [00:02<00:00,  2.38it/s, loss=0.0144]\n",
+      "Epoch 57: 100%|████████████| 6/6 [00:02<00:00,  2.30it/s, loss=0.0186]\n",
+      "Epoch 58: 100%|████████████| 6/6 [00:02<00:00,  2.29it/s, loss=0.0186]\n",
+      "Epoch 59: 100%|████████████| 6/6 [00:02<00:00,  2.33it/s, loss=0.0154]\n",
+      "Epoch 60: 100%|████████████| 6/6 [00:02<00:00,  2.32it/s, loss=0.0152]\n",
+      "Epoch 61: 100%|████████████| 6/6 [00:02<00:00,  2.21it/s, loss=0.0178]\n",
+      "Epoch 62: 100%|████████████| 6/6 [00:02<00:00,  2.17it/s, loss=0.0198]\n",
+      "Epoch 63: 100%|████████████| 6/6 [00:02<00:00,  2.17it/s, loss=0.0176]\n",
+      "Epoch 64: 100%|████████████| 6/6 [00:02<00:00,  2.44it/s, loss=0.0169]\n",
+      "Epoch 65: 100%|████████████| 6/6 [00:03<00:00,  1.86it/s, loss=0.0167]\n",
+      "Epoch 66: 100%|█████████████| 6/6 [00:02<00:00,  2.21it/s, loss=0.017]\n",
+      "Epoch 67: 100%|████████████| 6/6 [00:02<00:00,  2.03it/s, loss=0.0191]\n",
+      "Epoch 68: 100%|████████████| 6/6 [00:02<00:00,  2.11it/s, loss=0.0132]\n",
+      "Epoch 69: 100%|█████████████| 6/6 [00:02<00:00,  2.32it/s, loss=0.017]\n",
+      "Epoch 70: 100%|████████████| 6/6 [00:02<00:00,  2.24it/s, loss=0.0207]\n",
+      "Epoch 71: 100%|████████████| 6/6 [00:02<00:00,  2.25it/s, loss=0.0195]\n",
+      "Epoch 72: 100%|████████████| 6/6 [00:02<00:00,  2.11it/s, loss=0.0189]\n",
+      "Epoch 73: 100%|████████████| 6/6 [00:02<00:00,  2.06it/s, loss=0.0144]\n",
+      "Epoch 74: 100%|████████████| 6/6 [00:02<00:00,  2.10it/s, loss=0.0199]\n",
+      "sampling...: 100%|████████████████████████████████████████████████████████| 1000/1000 [00:32<00:00, 30.69it/s]\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 400x200 with 2 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "Epoch 75: 100%|████████████| 6/6 [00:02<00:00,  2.49it/s, loss=0.0199]\n",
+      "Epoch 76: 100%|████████████| 6/6 [00:02<00:00,  2.49it/s, loss=0.0174]\n",
+      "Epoch 77: 100%|████████████| 6/6 [00:02<00:00,  2.45it/s, loss=0.0218]\n",
+      "Epoch 78: 100%|████████████| 6/6 [00:02<00:00,  2.49it/s, loss=0.0138]\n",
+      "Epoch 79: 100%|████████████| 6/6 [00:02<00:00,  2.36it/s, loss=0.0186]\n",
+      "Epoch 80: 100%|████████████| 6/6 [00:02<00:00,  2.33it/s, loss=0.0192]\n",
+      "Epoch 81: 100%|████████████| 6/6 [00:02<00:00,  2.33it/s, loss=0.0174]\n",
+      "Epoch 82: 100%|████████████| 6/6 [00:02<00:00,  2.24it/s, loss=0.0228]\n",
+      "Epoch 83: 100%|████████████| 6/6 [00:02<00:00,  2.31it/s, loss=0.0183]\n",
+      "Epoch 84: 100%|████████████| 6/6 [00:02<00:00,  2.21it/s, loss=0.0201]\n",
+      "Epoch 85: 100%|████████████| 6/6 [00:02<00:00,  2.27it/s, loss=0.0141]\n",
+      "Epoch 86: 100%|████████████| 6/6 [00:02<00:00,  2.18it/s, loss=0.0181]\n",
+      "Epoch 87: 100%|████████████| 6/6 [00:02<00:00,  2.26it/s, loss=0.0211]\n",
+      "Epoch 88: 100%|████████████| 6/6 [00:02<00:00,  2.24it/s, loss=0.0178]\n",
+      "Epoch 89: 100%|████████████| 6/6 [00:02<00:00,  2.18it/s, loss=0.0167]\n",
+      "Epoch 90: 100%|████████████| 6/6 [00:02<00:00,  2.30it/s, loss=0.0213]\n",
+      "Epoch 91: 100%|████████████| 6/6 [00:02<00:00,  2.19it/s, loss=0.0114]\n",
+      "Epoch 92: 100%|████████████| 6/6 [00:02<00:00,  2.14it/s, loss=0.0137]\n",
+      "Epoch 93: 100%|████████████| 6/6 [00:02<00:00,  2.15it/s, loss=0.0128]\n",
+      "Epoch 94: 100%|████████████| 6/6 [00:03<00:00,  1.86it/s, loss=0.0183]\n",
+      "Epoch 95: 100%|████████████| 6/6 [00:02<00:00,  2.16it/s, loss=0.0125]\n",
+      "Epoch 96: 100%|████████████| 6/6 [00:02<00:00,  2.26it/s, loss=0.0176]\n",
+      "Epoch 97: 100%|████████████| 6/6 [00:02<00:00,  2.25it/s, loss=0.0193]\n",
+      "Epoch 98: 100%|████████████| 6/6 [00:02<00:00,  2.10it/s, loss=0.0198]\n",
+      "Epoch 99: 100%|████████████| 6/6 [00:03<00:00,  1.90it/s, loss=0.0183]\n",
+      "sampling...: 100%|████████████████████████████████████████████████████████| 1000/1000 [00:32<00:00, 31.08it/s]\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 400x200 with 2 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "Epoch 100: 100%|███████████| 6/6 [00:02<00:00,  2.50it/s, loss=0.0171]\n",
+      "Epoch 101: 100%|███████████| 6/6 [00:02<00:00,  2.40it/s, loss=0.0172]\n",
+      "Epoch 102: 100%|███████████| 6/6 [00:02<00:00,  2.44it/s, loss=0.0167]\n",
+      "Epoch 103: 100%|███████████| 6/6 [00:02<00:00,  2.46it/s, loss=0.0167]\n",
+      "Epoch 104: 100%|███████████| 6/6 [00:02<00:00,  2.46it/s, loss=0.0146]\n",
+      "Epoch 105: 100%|███████████| 6/6 [00:02<00:00,  2.49it/s, loss=0.0157]\n",
+      "Epoch 106: 100%|███████████| 6/6 [00:02<00:00,  2.28it/s, loss=0.0152]\n",
+      "Epoch 107: 100%|███████████| 6/6 [00:02<00:00,  2.26it/s, loss=0.0166]\n",
+      "Epoch 108: 100%|███████████| 6/6 [00:02<00:00,  2.26it/s, loss=0.0155]\n",
+      "Epoch 109: 100%|███████████| 6/6 [00:02<00:00,  2.26it/s, loss=0.0154]\n",
+      "Epoch 110: 100%|███████████| 6/6 [00:02<00:00,  2.26it/s, loss=0.0185]\n",
+      "Epoch 111: 100%|███████████| 6/6 [00:02<00:00,  2.21it/s, loss=0.0159]\n",
+      "Epoch 112: 100%|███████████| 6/6 [00:02<00:00,  2.25it/s, loss=0.0143]\n",
+      "Epoch 113: 100%|████████████| 6/6 [00:02<00:00,  2.30it/s, loss=0.015]\n",
+      "Epoch 114: 100%|███████████| 6/6 [00:02<00:00,  2.19it/s, loss=0.0215]\n",
+      "Epoch 115: 100%|███████████| 6/6 [00:02<00:00,  2.02it/s, loss=0.0169]\n",
+      "Epoch 116: 100%|███████████| 6/6 [00:02<00:00,  2.05it/s, loss=0.0141]\n",
+      "Epoch 117: 100%|███████████| 6/6 [00:02<00:00,  2.16it/s, loss=0.0189]\n",
+      "Epoch 118: 100%|███████████| 6/6 [00:02<00:00,  2.18it/s, loss=0.0162]\n",
+      "Epoch 119: 100%|███████████| 6/6 [00:02<00:00,  2.09it/s, loss=0.0159]\n",
+      "Epoch 120: 100%|████████████| 6/6 [00:02<00:00,  2.10it/s, loss=0.015]\n",
+      "Epoch 121: 100%|███████████| 6/6 [00:02<00:00,  2.08it/s, loss=0.0177]\n",
+      "Epoch 122: 100%|███████████| 6/6 [00:02<00:00,  2.27it/s, loss=0.0164]\n",
+      "Epoch 123: 100%|████████████| 6/6 [00:02<00:00,  2.02it/s, loss=0.017]\n",
+      "Epoch 124: 100%|███████████| 6/6 [00:02<00:00,  2.10it/s, loss=0.0195]\n",
+      "sampling...: 100%|████████████████████████████████████████████████████████| 1000/1000 [00:32<00:00, 30.41it/s]\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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v+d1kMmHq1KlgjCGTyWgeUxQFa9euxRVXXIGlS5f28u2OZt54440+rV2KC5HrjyxLcd9QKNRLgAYS8T3PGMOaNWtgNBrxpS99qc/99Xo9vva1r+G5557r89t4V1fXoK31aOj1eiiKglwux7c1NzfjhRde0Oy3ePFiAMATTzyh2V5YvToSr/G4LO4JEybg97//Pa6++mpMmTJFUzn5zjvv4I9//CPPxzzllFOwdOlSrF27FsFgEPPnz8d7772Hp59+GpdddhkWLFhw3Iu9++678cwzz2DJkiX4zne+A5vNhrVr16Kurg7bt2//3LW73W7813/9FxwOB2w2G+bMmdPLvwUc9r8uWLAAP/zhD9Hc3IxTTjkFGzduxIsvvog77rhDE4gcCu6++26sX78eixYtwvLly2Gz2fCrX/0KtbW1CAQCx/Vt4kS4+OKLsXLlStxwww0466yz8NFHH+F3v/tdL3/oBRdcgIqKCpx99tkoLy/Hxx9/jDVr1uCiiy7qM6it0+mwfv16XHbZZbjqqqvw8ssvY+HChYN6LSOB5cuXIx6P4/LLL8fkyZP55+d//ud/UF9fz/2mF1xwAUwmEy655BLceuutiEaj+OUvf4mysjJulQ8kqqrilVdewdKlSzFnzhxs2LABL730Eu69995e8RGRBx98EG+88QbmzJmDW265BVOnTkUgEMAHH3yA119/HYFAYMDXeiwuuugiPPzww1iyZAmuvfZadHZ24vHHH8fEiRM1OjFz5kx87WtfwyOPPAK/348zzzwTf//73/m3DPFzNdKu8bjyuIlPP/2U3XLLLay+vp6ZTCbmcDjY2WefzR577DGWTCb5fplMhj3wwAOsoaGBGY1GVlNTw+655x7NPowdTge66KKLep2nMKWPMca2b9/O5s+fz1RVZdXV1WzVqlXsqaee+tx0QMYYe/HFF9nUqVOZwWDQpAYWpgMyxlgkEmHf/e53WVVVFTMajWzSpEnsoYce0qQnMXY4Neq2227rtfajpTgVpgP297o//PBDdu655zKz2czGjRvH/uM//oP9/Oc/ZwBYe3t7r2OILF26lNlstj7P01f6XuG6kskku/POO1llZSWzWCzs7LPPZu+++26vdT755JNs3rx5rKSkhJnNZjZhwgR21113sVAoxPcpzONm7HDq1vz585ndbmebN28+5rWMBjZs2MBuvPFGNnnyZGa325nJZGITJ05ky5cvZx0dHZp9//znP7MZM2YwVVVZfX09+8///E/261//ut/vpb7en/v27WMA2EMPPcS30XukqamJXXDBBcxqtbLy8nJ2//3390oFRUGqHGOMdXR0sNtuu43V1NQwo9HIKioq2Je+9CW2du3az309jvZZ2bJli2a/vt474tpFnnrqKTZp0iRmNpvZ5MmT2bp16/jzRWKxGLvtttuY1+tldrudXXbZZWz37t0MAHvwwQcH7BoHGoWxIoj+SfrkjjvuwJNPPoloNCrL6SVfiGXLluHZZ59FNBod7qUMO1u3bsVpp52G9evXD3iq8UAhO7sUCYVdF/1+P5555hmcc845UrQlkhOkr26mjzzyCHQ6HebNmzcMK+ofx90dUDI8zJ07F+eddx6mTJmCjo4OPPXUUwiHw7jvvvuGe2kSSdHy05/+FO+//z4WLFgAg8GADRs2YMOGDfjGN77RK198JCGFu0i48MIL8eyzz2Lt2rVQFAWnn346nnrqqRFtFUgkI52zzjoLr732GlatWoVoNIra2lqsWLECP/zhD4d7acdE+rglEomkyJA+bolEIikypHBLJBJJkSGFWyKRSIqMfgcnB7s6TyIhRmrYRVVVMMaQzWYHfUapZGzzeZ8BmVUikfQT6n0xUm8skrGDFG6JpJ9I4ZaMFKRwSyT9RAq2ZKQgg5MSiURSZEjhlkgkkiJDCrdEIpEUGVK4JRKJpMiQwi2RSCRFhhRuiUQiKTKkcEskEkmRIfO4JRKJZITQ39YiUrglEolkhCCFWyKRSIqM/jYvkz5uiUQiKTKkcEskEkmRIYVbIpFIigwp3BKJRFJkSOGWSCSSIkMKt0QikRQZUrglEomkyJDCLZFIJEWGFG6JRCIpMqRwSyQSSZEhhVsikUiKDCncEolEUmRI4ZZIJJIiQwq3RCKRFBmyratEIpGMEGQ/7iFGp9NBr9drtuVyOeTzeSiKAoPBoNkmkRQ7JDKMsT639/WY5Oj0V7QBKdwDxqxZs7BkyRIYjUYAhxuib9q0CX//+99RW1uLyy67DHa7HRs2bMD7778/zKuVSL44haJcUlKCyspKGAwGqKoKAGhtbUVLSwsYY1AUhYuToijI5/NS2AXoNeoPUrgHiNNOOw3f/e534XA4AADpdBqZTAb/+Mc/UFtbi1tuuQUVFRVobW2Vwi0ZcI5m/Q7Wufqysj0eD6ZMmQJVVeF0OqHX6/Hee++hra0NjDHodDq+r6IoyOVyyGazxzwPMLas9v5eqxTufqLT6TB+/HiMGzeu12OKoqCxsRFms5m7S4xGIyZMmIDzzjsP06dPh8PhgMlkwtSpU7FgwQJ0dnbi008/RSaTGepLkYwxSChFUSBR7I/bTlEU6HQ6KIoCk8kEo9EInU7H/1dVFQaDARUVFTCZTNziNhgMKC0tRV1dHXK5HD9eNptFPp9HPB5HMBgc8OsdCyisnxJ/PP6X0YjFYsFdd92Fr3/9632+Fi6XC6WlpZrHAoEAAoEAVFVFeXk59Ho9uru7EQqF8PLLL2PVqlXw+/1DeRlFwUi1sEb6Z0Bcn+iS0Ov13MLN5/PQ6XTc+k2n030eR3y+TqeDyWSCXq+Hz+eD0+mE0+lERUUFzGYzSkpKYLFYkEwmEYvFYDQaUVZWBlVVEQwGEQwGkc/nkU6nkc/nEQqFEIvF0NbWhk8++eSoVndfr/dIfW8MNJ93nUVpcSuKAlVVYTKZhuycNpsNNTU1OOmkk/r9HK/XC6/Xq9lWVlaGsrIy1NbWwuPxHPOrIgAkk0mkUqkTWrNkbCCKM1nGJHo6nQ4Gg6GXcOv1ejDGwBjr9a2PjkHHJgvaaDTCarXCbrfD6XTC4/FAVVWUlJTAZrMhFAohnU7DYDDwm4PVaoVOp0Mul0Mmk+GWt8FgQCQSgaqqSCaTfX4OCoV7rIh2fyhKi9tqteLqq6/GOeecM2TnNBqNmDVrFqZMmTIgx9u3bx82b96MRCJx1H0ymQxeeOEFvPrqq2PqTTtSr3UkfQZEXC4XKisrYTab4XA4YDabARx2g5jNZrjdbhiNRmQyGWSzWU3wMBgMIhaLoaurC/v370cul+PWeD6fRz6fh9vtxrRp0+BwOKCqKsxmM0wmExwOB/R6PYxGo+ZGIFrXonVP0D7BYBAHDx5EIpHAgQMHEAqFkEgkEI/HNaKfTqeRTqf58ccCo9LiNplMmDdvHpYtWzbcSzlhGhoa0NDQcMx9kskk9u7di40bN46ZN6zk+LFYLKisrITdbofP54PNZuPiqKoqqqqqoKoqUqkU0uk0TCYT7HY7GGPo7u5GNBrFnj174Pf7kU6nucWezWaRyWRgt9sxceJE+Hw+Lp5k3TPGkM1mkU6nYbFYYLfbkclkuAhbLBZYrVYoisJ94haLBUajES6XCy6XC9FoVOOyicfjGn863QgkRyhK4R4r6PV6nHrqqbj66qv5tmQyiQ8//BDNzc3DtzDJsEKi6XK5YLVaUV5ejvLyclgsFrjdbm5N5/N5GAwGZLNZJBIJ5HI5MMaQy+U0Qmg0GuF2u9HQ0IBcLgej0ci/XeRyOZSUlKCiogJOp5Nbv+SCIVdLPp/nQqsoCrf8xW8phda3wWCAzWaDTqdDZWUlTCYTkskkqqurYTAYYLfbodfrkUgkkEwm+dqz2SwOHTqEcDg8RK/4yEMK9wjGaDTikksuwfnnn8+3BQIB/Pu//7sU7jEK+bONRiPq6+tRXV0Nj8eDmpoamEwm2Gw2GI1G5HI5/i+RSCCfz0Ov10Ov1yObzXKrVq/Xw2w2o6qqiqfwORwObh0rigKLxcIzRoLBICKRCPR6PY8xkQuGfOcUnMzlcojFYojFYvwx0Q1jNBp56qDBYEA8HofBYIDBYIBer4fVaoVer0cymUQymeSvQTwex//+7/9i586dY/abaFEJN0WwvV4vbDbbcC9nSLDb7bDb7fx3Sr+SjE30ej33M1Og0GazwWw2c1+zmC9NUAUvbSOfNIku+b7p+WKQkzGGVCrF3S96vR4Gg4EXm5F4FmaiFAZLRYubnkOPm81m/g2BrsNsNnN3DEFWNwVAaU1jjaIS7sbGRixfvhz19fWYPHnycC9HIhkSxBxsm82GCRMmwG63o6GhgafdqaoKnU6HfD6PTCbDxVIUTBJqEsZcLoe2tjZ0d3fDaDTCZDJpxD2ZTPL9S0pKYDab4fP54Ha7YTAYYLVaARwWX/EGIAq5wWDgud0Wi0UTbDSbzTAYDPymAoD71QEgGo0COGzRZzIZLtKUhWI2m7l/faxRVMLt9Xoxf/58TJo0abiXMmyIH0hg5GZgSAYG0YoFDgfmvV4vXC4X3G43HA4Hdy8A4GXkoqVL//L5PHK5HE8dVBQFsVgMfr8fqqryb3aUtkcZHuR7VlUVVqsVXq+Xu0QoiEkZKGKhDa2b3CSUliiuU3wvA+DuHbKi6WZDwi0KNYn+WKSohFsCqKqKJUuWwOfz4eOPP8amTZs0/j/J6EF0NZALw+l0orq6Gm63G06nk4tnLpfjFq6Yh03HIYGlmgCycn0+H0wmE3+MhJMEknzhZrMZNpsNHo8HpaWlMBqNPDNFzDIhizoQCCCVSvF1082CfOP0MwU2AWj2zefziMVi/EZgMpmQTqe5v5ss+7FquEjhLjKsViuuvPJKXH755fj973+Pf/7zn1K4RxGihS0W1phMJphMJrjdbtTX18Pr9fIsEbJ0SWApaFjoR85kMvy9Qtkj1dXVqK6uht/vx8GDB7nlnM1mkUwmkUgkeN63w+GAz+dDVVUV90XTuRlj3C0CAKFQCOFwmH8zoMAo+a5NJhMvyhGFm24A6XSa30yo+EdcE1ngUrhHKIqioKKiAuXl5Zg0aRIvLhjLGI1GjU9SMnohIaMMDMoYIT924X4kfn2JGgkrBTLJ1VC4H4m30+mEy+WCzWbj6X3pdBo9PT089VA8L91EqEReDJiSNV3o4hNdJ1T8I37LoHXSMSgw73a7kcvlEIlExmTbiBEv3Hq9HpdddhmWLVsGt9uN8vLy4V6SRDKgFFYWEuT6MBgMcDqdKCkpgd1uR09PD9LpNK9kFBs+kdBRd0ryPyuKApvNBrvdzlPwyMedTCa5S0L0Kc+cORNz5sxBLpdDIBBAOp1GW1sbmpubUVVVhZkzZ/IAI+VskyVfWlrKXTliFgq5bLLZLL8+RVG4W8ZkMnHhdjgcmmwYm80Gk8mEfD6P0tJSpFIpNDU14Z///OeYa9Y2YoWbKq1UVUVdXR1mzpzZa1CBRFIs9NUKVXwM0AaayZIlq9Vms/G0P/I/k9iKPvDCwLVo2ZKoi4Uy4roKm0uRWyaZTCKdTiMajSIQCMDv98NutyObzfLjiDcfSlkVg6CFfnexZ4ronqGiHuDwNwTxhkJWNwCePtjZ2XnUG99oZsQKd3l5Oa688kqMHz8ec+fOHZN/HMno4Vi+WLFKETgciLNYLPD5fFi4cCEqKiqQzWa5H5sEj1wn9LNYhk5+acqNFrM0jEYjT81jjHFrmSx0h8PBLee2tjakUimEQiEu4IwxxGIx7N+/HxaLhbdwFXuUUIoiiXI+n0cqleL/iyl8lEVC7hZ6jLJb6BsApRQqisJTFampFb0+Y4URK9w+nw/XXHMNzjzzzF4pQxLJaKLwva3X62Gz2VBRUYHFixejsbERHR0d6OzsRCKRgN/v53nMFO8QXRWUDmg2m7lQU343Wcnk4qCAJgAeKBSDjZ2dnUin04hEIpq0vHg8jkOHDvGqSnJrUK8Ti8XCqzTpeRRwJDcOWdnkGxdvYCTwFJBMJpN8zTqdjm/LZDLcEh9LE3WGVbjLy8t5t71du3ahs7MTNTU1aGxsxIQJE+D1eqWlfQyqqqqwcOFCtLe34+OPPx6TQZpixeFw8O569PWfsiXcbjdKS0tRUVHBLWGxBJwEUMzUEC1xAFx8AXDLWnRbkGiSoJIgA0eyOwBwC9tqtXKLn1wu0WiUd7cMh8OaoCntC4DnX5Mgk8CKed+iu4c+82IJPQBNDxUaWkKBU4PBgHA4/LltkkcLwyrcp556KlauXAkAuO+++7Bx40bMnz8f99xzD9xuN0pKSoZzeSOeOXPm4KSTTsK+ffvwwx/+EG+99dZwL0nSByRKoqg0NDRg8uTJvFlTLpdDMBhEIpFAeXk5amtr4XQ6ARzuT0MBP+rCR6lyJJRkiZKlm0qleOofWdZk+VK6HQAenBQDlOT6IMvaZDLB5/PBYDBwd0lPTw8OHDiAVCqF/fv38xxz+szSjUB0mYhWNgVN6ZxiLxO6sYg3Croh0Q3IarXyVrWBQIB3GKRqy9HOkAm32O2LqKioQF1dHRhjqKiogM/nQ2VlJWprazX9OSR9Q0ErssQkIxMx4EdWrdVqhdvt1gg3VTU6HA44nU7enpXcG+RHJlHtq/Me3STEwGBh0BEAd1GQmIvZJwSJJ1VlFgY/6cZBNyRVVfnPJNJ0faKvm14D8efCACudj5pRkf+bhF78tiFe61hhyIS7vr4et9xyi2ZmY01NDVwuFxhjuOmmm7B48WJMmjRJNlHqJ1u2bMEzzzyD9vZ27N69e7iXIzkKJLJkFZvNZpSVlaGyslJjjVOAjt7/JNrUL4TasQaDQaTTaR7ko4k0orVKvutcLod4PK5xU5D1m8vlEA6HkUgkNH5mElyqoIzH47yVazAY5L8Dh10WTqdTM+lGFGM6vyi69FoA4FY15YmTD5yOQb526q1ClZ90wwmFQujs7EQsFhtTPUuGTLjLyspw4YUXYvr06X0+Pm/evKFayqhh3759ePbZZxEIBIZ7KZJ+oNfrYbFYYLFYeHEL+ZwzmQz30Ypd98jqFUvR4/E4F+1sNqvJLqH9SBwpS0MUNQr4ZbNZ7qcWfcsk4GQ108/AYbdNKBTSDAR2uVxwOp1IpVL8JgBAI/4AeIEN5ZyLvmzqdkiZJ2IPElG46fUg4U4kEvzmM1b828AgC7eiKJgxYwZOOeUUeDwebNq0CVu3bsXs2bPR2Ng4mKeWSEYMqqrCZrNBVVW43W5YrVbYbDbuGqFKQ5/Pxy1PmhJDVia5NSj9jTJHKPeZLOi+BgLTz2ImRjwe5+JIKXaE+DxRQClDxW638yk6JKrk0zYajfyGU5iXTjck0d9N108iLKY8ioMfxFmViqIgFAohGo0iEonwG9hYySgBBlm4dTodFi1ahLvuugsfffQR7r33XrS1teGBBx6Qwi0ZM9jtdpSXl8Nut6O2thY2mw0ul0tTPUjBPUprI6ESu/SRWFMKIFmmVCkJHPFdU0sE4Ihwx+NxXgEZiUSgKArKysrgdDo14gho/fK5XI5PoLFarbBarbBYLPB6vTynOpVKaXLHKZ+bioDEXPNIJIJEIqFpOCUeg64NOFLJKR6Dvp20t7ejq6uLB0xHQ6fA/vrpB91VoqoqPB4PvF4vSkpKeNMYyYmRz+fR1dWFSCSCjo6OMVV0UKyQQFFbVAomi131SLComKSw4x6JdGHwDtAGPUkoxeBjNBrlrgVRGPrqZyIeRwxsimm5fQUSj9bwqdB3XhgkFd06hecSfybrm1IX4/E4otEoksnkmMrfJobMxz1+/Hjcf//9SKVSGD9+/FCddtQRjUbx61//Gq+99hra2toQi8WGe0ljkmOVsBfup6oq75JXVlamCeTRNHPyUYtNl2igLvXnIEs2FotxN0Oha4KeH4lEEIlEEIvFcODAASSTSZSWlsLr9XJ3CT2H/Mqia4KCgiSoZBmLFrSYq00CK7ZbFYOrdL0kzhaLBalUCuFwGDqdDiUlJTyVkQKX4kxLCnJ2dHQgFothz549aG1t1bR4HUsMmXC7XC7MmTNnqE43KqFqsp07d+KNN94Y7uVI+gFZk5TPTMFJMYhIrg/xOWI3PLF0XK/Xa9wmojUuCncmk+Hi3dXVhUQiAZfLpSmDF4VaFG7KcBHXQu4cOpco4iJ9pfzR8WnNNBGHAqwk+nQOcheRcIvHIr92OBxGMBjsFcgsZo4nnXHElrxLtOzbtw+vvPIKDh06hJ07dw73csY8/bXwGGNIJpPo6enhhS/U0U+cIgMccQeIgbyuri4AR4YMUEqgOOWGilqAI5YvBfsymQw/HwUoqZcIBUdJ+Oi5VBMgCjZ17RMFmK6PslYoeFoYlKT/qYKT/PTZbBadnZ383LFYjN/cRPcJWe2RSATNzc0IBoMIhUKjSrSB45tmJYW7SGhqasKjjz6KvXv3Sr92EcEYQyKRQCAQ4NkflMInuiLI8s1ms3xoQjqdRkdHBx8bRuJJ/8TOeoUCRsJNNwp6rljRCBzpCyL6l0msRSGn5xf2Fcnn8zxbJR6PIxwOAziS/WE2m/nQX7E032QyIZPJoKuri990HA4HbDYb3G43b4RFGSvpdBqhUAhNTU0IBoPcfTJWkcI9hORyORw4cIBbGcfDrl27eKMfSXFBVjLlaFutVt5alXzU4j7iz+S/Fd0NhQE/+p3GfVEZeCQS0eRUA0dytMUCmMJAaF9ViJQBQ+ejtVHGCWWdqKray3Kkc1AJfiqVQiAQQGdnJ6LRKPL5PAKBABKJBGw2G+LxOB9GTN9Skskkuru7eeMp0V0zFpHCPYQkEgk8/fTTeO655477udFoFN3d3YOwKslgQ0E4n8/HR3+JGSSUv0ytU8k1QEFBcpHQTVsUY/FfIpHAjh070NXVxcXObDajtLSUW9h08yB3BFUqkvuiLz8rrVEsBqLUQgqwUvVjeXk5v4GQJU1WeTgc5sMYqPqTjnvw4EFNQFRMHyRXDL2OYpBTfD3GElK4BxiK0vdVxRUOh9Hc3IwdO3YMw8okw0GhuFB+NQk3WdAkzCRQyWSS+7VFq1w8Flnj5IumvtnUJZJ80qKvmtZU2N+jULDF1EPKZhELfFKpFM9uEa+FjikGO0m44/E4kskkt7bFc9GgYtHypw6AFMQUA5WFvVrGGlK4B5iOjg7893//N5qamno9lk6nsWXLlmFYlWQ4IOEtKytDdXU1ysrKEI1G0dnZCavVyjM8SKyoFJ1ylMXAIFmhYlOq5uZmdHV1aQKXnZ2dSCaTqKmp4TNayWdM7hcSRsYYTCYTF0TqAyIW8aiqilQqhY6ODs3U9nw+D6vVytMdTSYT/H4/du7cqRkCLHYBJHGmbxYiYsFNod9dzHLp6zljESncA0xPTw+ef/552WJVwkXW4/Ggrq4Odrud968mMRL9ymRxJ5NJRKNRLpwkZqJ4Z7NZtLa24tNPP9X09KZjer1eTJ8+nQcHFUVBMBhEOBzWWO/k6yZLn0Q3l8vxGY/pdBqBQADxeJxPaCd3C3X9NJvNaG5uxocffsj7hwPQ9Co5HtcG5W+T9S7RIoV7gDlaBZlk7EGWpqqqKCkp4RNrgMN9sOPxOBd3ElNya5CVLbohSFj9fj93p5hMJlitVng8Hk1vEYfDwQOKoh+cOvAVWrFk3ZLgUhDVbrfzdSmKglQqhXg8zm8ger0eJSUlsNlsmlRHsRvhiSI/R0dHCrdEMkiQj9fhcKC+vp4LWi6XQ3t7OwKBAA/C6fV6brmSlUozFk0mEyKRCC8+2b9/P3c1WK1WVFZW4uSTT+Y9PqinCOVxkx+cen1T7xOyhKkKknzglIbndrvh8Xig1+thNpsRj8fh9/sRiUQ0Al5XVwePx8OLfKj17PFWNPaVJSLFu2+kcEskgwgF50T3AaCtKKQxZJTVUVhuLiLmTauqCrPZzP8nfzWgnZBe2IlP7JdNiH1BSOTJhSM2tjKbzTz1L5lMcitfHKZAlnhfr8VYDigOJFK4JZJBhDGGffv2YdOmTXC5XJgwYQJv60oBPSqq8nq9sFqtcDgc3PVBU2bIAs7lcny4b3l5OdxuNywWCyKRCM99ppFeFGyMRqO9GkbRMShbhIQfOOI2SaVS6OrqQiqVQllZGV8TdfOLRqOa3t6qqsLn83E3EFn7YqHMsSxoaV33HyncEskgEwgEsGfPHpSWlqKqqopbyRaLBaFQCMFgkPfcpuKT8vJynsNMokj/qE+3w+GA1+sFAJ4+SAJMKXxk8YvQcURftJguSHEacaq7w+GAoiiw2+2wWq1Ip9M8L7ulpQXBYFBj/VMqX2G72ELGchHNF0EKt0QyyFB2iMFgQCwW4/09aEAwBSCdTiccDgdcLhfsdrsmX5v2sdlsqKysRCaTQUlJCZxOJ9LptGYwgmhZU/EMpQFSlobJZNJMjC98HqXhpVIpTd8QMcWPZklSbno0GkVLSwsSiQRisZhmjNnRkKJ9YkjhlkgGGXFaTDAYRDQaRTgc5iJOVnRpaSlcLhdKSkrg8Xi48GUyGZhMJt7zY/z48WCMwW63w2KxIBwOa6abU3YIlaZTMJF81+R6ocpNsZRezBunGwKlIYrFOAB4hoyqqkin02htbcXWrVs1LWNlKt/gMOjC3d3djY8//hhOpxOVlZXctyaRjBUymQzvm04uEeBIIybqBkiCKXbhIyidj/zYJLLUL4REkjJS6P/CwhYxe0SsdCwcXiCKOFnghS1WKa2QbhRGoxE2m43PnhxLMyCHmkEV7lwuh5deegnbt2/HjBkzcPfdd6OhoWEwTymRDBon0htDURT4/X709PTA5XLBaDTC4XDAbrfD5/NxNwSl6lF/jmg0yi1msRUqza1kjKGrqwt+v5+P7qLnpVIpzWAD6u5HQUMaUkyl9FQlaTabebZIJpPhnfqoN4lomVPvEVqfxWJBbW0tHA4HwuEwtm/fLodYDyKDbnEfPHgQBw8eRD6f539osWWkRDLaIUs3Eonwxk9i9zuysmkKjjizURRLANwKJuuaMjoKp7GLQxbEFrBUFVloaVPRD/UNAaCZ8UjCTf/EEnZyu1itVn4ToopMyeAwZK9uS0sLnnzySVRVVWHJkiWYNWvWUJ1aIhkQTiSQJj4nnU7jwIEDvMCFZk+SuJLvmPqV0Fgzg8GA7u5uLsS0n1hZSZZxIpFANBqFw+HgljkFEa1WK7LZLCwWC09HJP+6OGWd3CvUMyWTyfAe2BRUpcpKOr9Op0MoFMKhQ4f67EUiGViGVLjXrl0Lh8OBsrIyKdySMQdjjHfF8/l8KC8v55YpZX9QL+22tjaYTCaUl5fDarXyKeiJRALd3d1gjGHKlCkYN24cTCYTnxpP/Ugo3RAAd4FQyb1o3bvdbthsNvj9foRCIY1wx2IxRCIRPsRA7PPt8/nQ2NjIhdtgMCCZTKKlpQWxWIxb7ZLBYUi/zxQGTCSSsUosFkN3dzdsNhs8Ho8mE8RiscDtdvNZleSGEK1jADyrREzro+ZP5L8GoMmjFkebkatFzBcXuxWS+wQ4UhZPfnexwIeEmxpVUe63ZPCQjiiJZBhoa2tDNBpFRUUFD0pS8QzlagNHugjSWC/q1AcAFRUV8Hg8iMVi8Pv9YIzBZrPxocCUaUL+cvKtU5YLNa4ia5ncG7SfzWaDxWJBIpHgAU/K76ZxbJQNo9PpEAwGNda2LK4ZPIZFuBOJBEKhkGYSh0QylqDCFvIri5NkxEChONyXRp5RwJKaUymKwq3hwqEJYsGM2CuEskFo6IcYtCRoPWLvEjGxgFIBgSMWOe1Lwc/RItwj7VqGXLhTqRSee+457Ny5E6effjq+/vWvw+VyDfUyJJJhRSyOaW5uhtVqRW1tLdxuN9/HYDDwXtpkkVutVvh8PjDG4Pf70dLSAp1OB5vNhlwuxysWnU4nTCYTcrkc7ylit9s1wiz2yhYzV8i6psHGVFBDpfgul4uvDQDPbHG5XJg5cybC4TC2bds2qtIBR5JoA8Mg3JlMBm+//TbefvttBAIBXH755VK4JWMKst7y+Tzi8Tg6Ojpgt9tRU1MDi8WiscCp5wcFAS0WC3w+HwCgq6sLgUAAVqsVXq+Xp9zGYjFNyiBNe6fBBOL5ydImS5luKAB4z2/yket0OrhcLng8Hl7RSTeGeDwOn8+H6upq9PT0YPfu3cP2+o4FpI9bIhlixEntZrMZ5eXlsNlsYIwhGo1qRn+Ru4L832azmfuQu7u7EQqFuCsFAB8wTIJKA3kzmQwikQiCwSD3T4suFIvFAqfT2cvtQu1cC/uOUD0GcLh/N7lQwuEwIpHIMRtLSb44UrglkmGAhNBms6GxsREWiwXxeBzd3d18qnk2m+XT0qkrH+V/5/N5tLe3o6enB4lEgvu26fFsNovOzk5kMhmEQiFks1k+pCEej6Orq4sPa9DpdCgvL0dZWRl0Oh23smlEGXAkG4UG94pVpB6PB8Dh9rHt7e28ayAx0vzDo4EhF25FUXjuqM/n67PhejESjUYRDAbR3t4uc1glR0XsTUIl7NSpL5fLcdGmoCEFJymYSC4K6j1SOCpPHIVG/8Qqyb4CjfQZFJ8jPq+vafCFzwPAbzRip8L+vB5S1I+fIRduVVVxzTXX4MILL0RlZeWo8W//4x//wLp169DZ2dnnhHfJ2EbMjTYYDKisrITP50NJSQlP2YtGoxr3BqHT6eBwOFBRUaGZgu5wOMAYg9PphN1u5/1GKK+bcqpppFlNTQ0qKyuRSCTg8Xg0DaqMRiPi8TiAI3nflN0i9kyh7YqiwGKxgDHGuw92d3dj9+7dSCaTSCQSmsZUlJ1S2KyqMKOsP61gJUMk3OIfx2g0YsaMGbj44ouH4tRDAmMMzc3N2LBhg6a9pkh/Uh7lG3b0Ilq8VKJeUVHBqxvJ2qaGUVTyTjnSlN9NIp/NZnnJOg0uEIVbTNMjnE4nPB4PF1zKGCEBLyycETsVAtpugjS0gR4ja7u7u/uoBThi/5SjCXdhV0RJ3wyqcCuKgtmzZ+OMM87gPjJVVTF9+vTBPO2QEY/HsWnTJnz22Wd4++23eUVbIdXV1Vi4cCH3BR6NrVu34p133pHtMEcZTqcTbrebi57BYOA9t1VVhcvl4n1AwuEwAGjypQEgFApxF4vYZdBkMvGBwqLrgoYgiILc1tbG28uSQIrVkOSXJlcKuWsA8MdoqjwA3tSqpaUFbW1t3Kfel/jS2ummZbfbefCT8slzuRxCoRACgQDviEjnkJ8JLYMq3DqdDgsWLMA999zDgxz0BxwNhMNhrF+/Hi+++KLmjV9IQ0MDvve97+Gkk0466rHy+TyeeOIJbNmyRb5JRxGKosDr9aKurg4AeJofBQNpyEIikUAymYTf74eqqrDb7Zq+2YFAAN3d3fB4PHC73dw3Tg2fKN9b9IPH43GeWpjP59HS0oJMJgOLxYKSkhJNB79MJsPL38UKS8p+ofekz+fjOeMkqE1NTdi1a9cx/dpiW9q6ujpUV1fDbDZz658aUx08eJCPXKPrpwCt5AiD7ioRu4iNNmgEVTweR0lJCSorK/tsZ9nY2Ai3280tlaMdq6qqCqeccgovPabMAWpMJClODAYD7HY7gCPVhtQfRJysTjMkRfcBuSvIx0x52SKUf11Y9UjPpcAn5V33ZRFTu1ay9At90WK1JPXrFrsHAoDb7UZJSQlPRST/ujh2zWQy8eQE6m7IGOMa4fP5uCuI/qcWsoWB2LGMTAccIObNm4fvfOc7fYqz0+lERUXFMZ+vKAoWLVqEqVOn8uBQKpXCL3/5SzzzzDPyDVvEuFwuVFdX8z4fVPjS3t4Ot9vNqxwnT56M2tpatLe3o7m5GQC475p6iaRSKbS2tnIhpC6AJIAkujQMGDiSuUGphhQgpZayADT7UlVkKpXiYk7NpsLhMPx+P/dn0zcFh8OBc845B1/96leRTCaxefNmdHV1wev1wuv1arJY6IZCfn0AKCsrg8FgQH19PXQ6HWKxGPbt28crS6mdLL1+Y71RnRTuLwC5fcxmM8aNG4eZM2dyy+pEKC8vR3l5Of89lUrh5ZdfhqqqmgCR7LBYXFDFIwk3Wb9kuZLgOhwOWK1WxGIxHmAURZbEjvK2qTWr2AlQDB6S2NIoMtpftKopWCgOCaZz6/V6Xmgj9kSJxWKIRqMIhULcEjaZTCgtLUVjYyPi8Tiam5uRz+e5S0j8NkAuFqrmBMADrNQrnI5P2StGo5HPvAQw5q1vKdxfALvdjmuuuQannXYaTj311AGfp2kwGLB48WJeYgwcDoi++OKL2Lp164CeSzI4MMaQSCQQDAa55aooCmw2G6xWKxwOh8alwRhDSUkJpk6dqunsJ2aJ0HAFEnpVVXn7V8pCEX3bdKO3WCxwuVy8AlPMOKH0QgD8sVwuxysyC0eh0eDidDoNh8PB+5V88MEHvEoTONzHJBgM8hsJBRtpbSTI5A4hMpkM3G43zGYzdx0mk0neF5yqQUX/+1hCCvcXwG6349JLL9WkSQ0ker0e8+bNw7nnnsu3+f1+7NmzRwp3EUGCQxYwxX1EwRULXTweD0pLS5FKpdDW1qYpwhGzSEj8yV1Co8YMBoPGp0352STC5AohC5ss+76sWvpf9ItTGqLJZEImk4HT6eQZKDt27OBZIsDhb42RSIR/66AbAgVpKfZFg4dFS9rlcsFut3OrPhaL8WwXQsxFH0tI4f6CDIZgH+v4qqri5JNPxqJFi3Do0CHs3r17TFocxQQNRDCZTNwipswPKpYRhxmQkNPUGuCwxUuDhKn6UayCpPxw8olTep0YTCQLV8ylJmufAp9ihWRhtaTYYwUAH+wgTpkPh8Oa6svCpAQSWNFlI4ou+f/pmgHwmxQF/jOZDFwuF1KpFK9WHmu9UaRwFxk2mw033ngjrrzySvzpT3/CqlWrEAqFhntZkmNgtVrh8Xh4hoWiKEilUpo0N9qWyWS4KwM4/Pe22Wx8YAGNEcvlcjxtjx4zmUxwOp0wm82IRCLclxwIBJBIJOB0OuF0OjXiSD500VVB4k7iChzJXKFMKqPRyI9FN5NgMIjOzk7ul6a12Ww2AEcqMk0mEy/LF4ch07qorSx9K7DZbFzk6fWj2MCuXbvQ2dnZS7jFm81oRAp3kaHT6VBaWorS0lLU1NTA5/NBURTEYrGjFgBJhg+xt4cY5AOOpOCRpUtf+8n/S4JIIka52mR5iuJEQUQaX0auEvpHNwiycAuDmbQeMQ2wcB9yCVIwldZBNySxAEh0rdA1001ATFHsy6onEaY1kGCTu4W+MeTzeT6lBzgyHGIsIIW7iJk1axZ+/OMf4+DBg/jNb36DnTt3DveSRjXHa8VRNkgymcShQ4fgcDhQXV3Ne2XTPoXNnUiUxD7clLon5muTIIfDYRw8eBA6nY5b3JT5QccSKytFESXEplFUACMGMEXLm4SaBJMsYhq5Jk6Fd7vdvH84+dTJ4u4rt5x83XT9dKOh89ONjZ7n8/kwb948hMNh7Ny5E36/n1/jaBZxKdxFzPjx4zF+/Hg0NTVh48aNUrgHGXEcWH9EgfzO6XQawWCQbyf3hOhfLrRygSM51WTZig2bKHMkn88jGo2iu7sbwGG3DGVixONxGI1GuN1u7lvv65rEAGU+n+f+cbqpiFY5+dUpg4UqLQHwCT2U/x2LxWCz2fjkHbpZkXVOvnFyfdDjYhl+YXGR2Bslk8nAbrdj8uTJCAaDaG5u5sLdF6PJfTKows0Yw0cffYT169ejsrISc+fOHTXdACVjj+P9wJMAhcNh7r6gzAgKDJIIknDSdhJFCmKKAUCywsm1QhNwgMOZTvQYBT1FX3WhO0EMbJO4iha5+A0AgMbPLHYTJBcHZcCUlZUhl8vBYrHwnHW/349cLsfdG+J5aI0UyBXrFeibBYm4eE6x50phf5cv+vcbyQyqcOfzebz66qt48803MWfOHNTX10vhlhQtJF6iz/dYkCh2dXWhp6cH0WgUtbW1AKAJLJLfVuybTX7ceDyuKVahiknKRslkMlBVFR6PBzqdjgcFCbL2KR+chhSLZfeU3ULPE8WPhFzM9FBVlTeEIihNL5VKQVVVNDQ0wGazoaurC36/H36/Hx999BESiQTKysrgdrthsVjgdrt5uT8FWCkI29nZyStGE4kEDAYDrFarJitG7KVCNxVyp4xmBt1VQi98Z2cn9u/fD1VVUVJSwpP9JZJio7AvyOdB1iHlcyuKwifaAEdcB5TNUZh+Jwb5yDIVRV4Ue0KsoBSLe0iAxcrMQj+2eJzCye/izUt0Y4juFDGYSNdG3yLIcqZjiD3KxQpR8XgkzuLgCPHmKVaCimsdTRZ2IUPm425qasKKFStQVlaGW265ZVT145aMPY5XFPL5PAKBAN59912YzWbU1dXxWZM+nw8mkwkOh4Nbs2LVI2MMdrudtz6gfG/RL03WvSjMJJCU2x0IBLiVTI97vV4+z5IKdMjfTI2k6JyUl03/qCEW9REhcRaDnKqqoqKiAk6nE1arVePLNpvNcDgcPGWQrGVyAQHauIIo+OINh85FLqfCv89oDFQOmXCHQiFs3rwZdrsdixcv7nUnP5ZvSiIZDWQyGR5EtFgsfBCB1Wrlvmoxn7mwkMVisXC3iZiqBxzJkSYXAlnwJHJinxPgiE/Z7XZrmj8BR1LyaIya2J0PAE9PFBtZiYMdSFBpejwJPaUrxuNxJJNJzf4035ICo3Q9RytwK/yGUVh9SgxmcdxwMuRZJel0Gq+//rpmUozdbseiRYswadKkoV6ORDIs9PT0cEFubW2F3W7HzJkz+VAFGv1FKXlU+ELWqOjjpeAfAF60UhjIA8B94TTUlwQ6FArxAiGxIVZPTw/2798PvV4Pp9OpsWipEIjcImKPFEDrSgG0VZeU8kc3FrFtbTAY5Dc3suDpWwjluufzeW5xh8NhdHR0IBaLgTEGh8PB+5CL5x5tDItw/+Uvf8HLL7/Mt1VWVmLcuHFSuCVjBgrYEU6nE5MmTeKuj3g8zoNxlG4nWqOU6UFuDFHoyZInsSQxpb4mmUwGHR0dSCaTiEajcDgcqKmp4cMVqDd2PB7Hnj17YLPZMGnSJJ7pAoD3odfr9fD5fHzyvBgUpNxzco3Qz/StgY4nFh/RzcJkMqGqqoqvGQDPWhEn0AcCAezatYu3h6U5nJSSOFqDlMOSx013XCIajWL37t147733UF5ejpqamhHjOolGo2hubuapTwDg8XhQX18/KodDSIaHbDaLaDSKYDCIeDze6ys+CXZhRWNfgTyyXgtb/8ZiMSSTSUQiEd6p0G63w+l08p7flEViMBgQjUa5JU89uKl/uOhXF903tDbxMRJl+iZAQUrqLkhCTDcet9vN+66IA4vJzy0WB1GMIB6P8+yZwmZVoxGF9fPqBtNXZDAYMG7cOLhcLlx11VW44447jjktZijZvn07Vq5cic8++4xvW7BgAe69916UlZUN48qO0NTUhH/913/Fa6+9NtxLGRBG6gduMD8DJpMJp512GqqqquB0OuH1emE0GnleNg0sUBSF+4tpTWT9ik2jCouE8vk8PvvsMxw4cIC3hjWbzZg4cSLKysq4e4ael8/nsXfvXnz66aeaSs5p06ahoaFBk+FitVp5NSS5PyhrhVIEqY8KpTFS8yu6iZSWlsJms2n8+mKQVEz3A8D7upBV3dPTg40bN2Lfvn18vcUs3p+37hFROZnNZvnEjzPOOKPXpHR6Uww25EcUv14FAgF8/PHH2LVrF9/W0NBw1PmSQwkFkBKJhOwQWOQwxhCNRhEIBHjpOnCkYIYsVzGTQgzGFfY/ET/4JMTJZBLhcBhWq5XnUZPFHQ6HEQwGeUUitYOlIcb0LSASiSCZTPJCGUVReCYIcKQSk6z9VCrFrXZ6nHzlqVSKj2+jFD/K46ap8ZS7DoD3AadzUkMuo9HI10yfy2IOSvZn7SNCuEXeffddrFixgt9Z9Xo9vvzlL+P8888f9D+G3+/HH/7wB4113d7ejo6OjkE974nywQcf4E9/+hMOHTqEPXv2DPdyJF+AbDaLjo4ORCIRtLa2Ys+ePbxc3Ww2o76+HjU1NdwSLXSXANDkaRfmbufzeYwbNw4+n48PYSC3BblQKPAn+p2pgyEJc1NTE7q7u1FaWoopU6Zwf7jFYuE+aABcbMWqSprsQzeETCajyTUnwSfjiSxzce4kBXXphtbd3Y3m5mZEIpE+y92LMRWwP+sdccK9Y8cOTc8Nk8kEn8+HhQsXaqyNwSAYDOKFF17A3/72N75tJP/RP/nkE6xduxaBQGBEr1Py+TDG4Pf7EQgENOXlJSUl3I9bUlKCTCaDcDis6QRJ4kRuA5r8TsJNwldWVgaXy6UpryfRJrEUS97JnSH61tvb29He3o5oNIrx48fzsWJmsxnxeJy3hqVZlfTtVcyUIaudbhyFHRPFRlJix0QSbspI0el0OHjwIN555x0kEgnNzUz0+RejeH8eI064Aa1YDvVg0P42EBouMpkMdu7ciZaWFnz44Yea/FpJcVP4dyTXnU6nw4EDB7B161buKxabTJELhVwIYiMq8omLQg4cqYCk/2n6eiqVQkdHB6LRKMLh8DGnwodCIe6DpnxscdgBcCQ4Sd+gxSpP8YYjdgUs7I2STqe5y4WGQvT09CCdTqO7u7tX/5W+XsfRxogUbsnRicViWLduHf70pz8hFotpsl0kxU+hAMViMSQSCWzevBn/93//h+rqapx//vlwuVyIx+N8qAE1ZhLbxZJlLfbxpiBfIQ6HA06nE8FgEB988AGam5sRi8V6pdOROOdyORw8eFAzgLiqqgoNDQ0AwGdCks+c/OlUkCO2cSV/t+i7phsOBTNDoRBvGZBMJrF37150dXUhkUho4k10MxiNYi1SFMIdi8XQ0dGh6alA5cEDCZUAl5eX837GhNhfgtKVhpJ0Oo1wOIzu7m60trbi4MGDQ3p+yfAg5moDhyuQaYZj4cCBwt4m4tR2OhaVpou9Smhfepws377ETwwukuhSql9ha1bxWGRV0/6iRS1eJwm9GOCMx+O82jKRSCAej/PP51gNyo+IdMBjodPpMHXqVEyZMoWvwWaz4frrr8d55503oOeKRqN4//330dbWhhdffBHPPvssf2OYzWZce+21WLJkCaqqqjBz5kzeSH4o2L59O371q1/xr8z79+8fsnMPNSPVWhquz4Doo7VYLKiurobdbsfJJ5+M2tpaXkhD1ipNhnE6nZrgZTgcRjQahd1ux7hx43gGh8FgQHt7O5qampBIJPios0OHDuHAgQOatZDx4nQ6UVFRwfucUNdC8qGLLhu6hsLmWTRLUq/Xw263w2QyIR6Pcx84dQeMRCJcuGnKezQa1czVpOOOFooiHfBY5PN57NixAzt27ODb3G43zj333AEXbrvdjvnz5yOXy2Hfvn14/vnn+WMGgwGnn346rrrqqgE9Z39pb2/HSy+9hL179w7L+SVDQ1+BNPH3RCKBvXv3QlVVTJgwgTduovavJIqF/a4ZY7xIhXzMYmOrtrY2tLS0IJvNwuVywe128xxrsSMgBSJpaILZbOYBSp1Ox3PNRV+2Xq9HNptFJBLhQUtxWLDYI4XK9yORCFpaWhAOh7lvW5y3KXZRFAcOjybxPhYjXrj7Ip1O480339R8TbLb7TjnnHNQU1MzjCv7YuzYsQNbtmzp8+vfzp07EQ6Hh2FVkqGkP8JDAcE9e/YgmUxy8aNe2ZSeR6Lu9/t5IM/v9/OeIOJknq6uLi6EoVCI+9fFoCdwuDS/vLwcbrcbNTU1fMJPoSBbrVbo9Xqeqy3mh1Nfk0QiwXuQ0D+a3JNIJJBKpXhVpjipXkxWEP36Y0W0gSIV7ng8jj/84Q8ai7impgarV68uWuFmjOHNN9/EqlWr+gw4ZrNZ3tlNIslkMti2bRu2bduG0tJSTJs2DRaLBQ6HAzabjQcbw+Ewurq6+AR2v9+PVCqF8vJyqKqKnp4eXuhC48Q6Ojq4X5l86STcPp8PEyZMgNvtRkNDA3Q6HVpbWxEOh3k1pdlshtfrhclk4qXyVCgmtmsldwgV+4jtXCkVkf6nQKlYzj8a0/z6S1EKN3BkQAPR09OD5uZm7N69+wsfO5fLoaura8DfFPl8Hp2dnZrJIQRjDC0tLQgGg5rrkkg+D/JxZ7NZ3kSKAo2U1heNRnmedSwWQyAQgMlkQjAY5KXuZN2SlSx22APQq0qSrHz6Xxw4LFrGZLXTNnJ7UEUmtZsVg5u0nsIAp8hYFW2giIW7EL/fj5///OdYv379Fz5WPp/n/r6BJB6P47e//S1eeumlPs956NChEVFKLykuotEoPvnkE17QIgqqWIlI/U5isRh6enp4LjhZsGKKnphhAhypxAwGgzhw4AAYY5gwYYKm9aroU49EIgDA506SJZ1Op3Ho0CFeNCa2exVL++mcADSW+FgWa5FRI9ypVEoTwBwMyLcoZheQNSG2zzzWGj/55BO8+eabg7pOydiC+pwcDfI7k5shkUhwtxuJrZhGWGghiz7odDqNSCTC++MUzqksbBAlBiHJig6FQrzntph1AqCXVS3pm1Ej3INNOp3Gxo0beTAHOFy0sGTJEkyZMgUffPABXnvttWNazMlkEtu2bRuC1UokRzhWpzzR2iUoYChaxPR7JBLhVjGNCysc8CAej3LFk8kkgsEgd9WI56f/i7kx1FAz4vO4RxKiDw8AKioq8Oijj+Lyyy/H2rVr8YMf/OCYlg9Z5fLr3rEZqa+P/AwcprAPCE2Wz2azvAUD7UMBS7FzHwBNmqGkN0Wfxz2SKAyQxONx7Ny5Ez6fD59++ilPWZJIRjOFZfnUrVD0RRfuLwOLA4u0uL8ABoMBFRUVsNvtPN1KWhFfnJH6oZafAclg019fvxRuyYhDCrdkrNJf4R4Zgx0lEolE0m+jRQq3RCKRjCD6I95SuCUSiaTIkMItkUgkRYYUbolEIikypHBLJBJJkSGFWyKRSIoMKdwSiURSZEjhlkgkkiJDCrdEIpEUGVK4JRKJpMiQwi2RSCRFhhRuiUQiKTKkcEskEkmRIYVbIpFIigwp3BKJRFJkSOGWSCSSIkMKt0QikRQZUrglEsmYpVjH0UnhlkgkY5aROt/085DCLZFIJEWGFG6JRCIpMgzDvQCJRCKRHKa/PndpcUskEskI4HgCpdLilkgkkhHA8QRKpcUtkZwAxZpGJumbYvt7SuGWSCSSIkNhxZrIKJFIJGMUaXFLJBJJkSGFWyKRSIoMKdwSiURSZEjhlkgkkiJDCrdEIpEUGVK4JRKJpMiQwi2RSCRFhhRuiUQiKTKkcEskEkmR8f8BZd2aBtC3DBYAAAAASUVORK5CYII=\n",
+      "text/plain": [
+       "<Figure size 400x200 with 2 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "Epoch 125: 100%|███████████| 6/6 [00:02<00:00,  2.48it/s, loss=0.0163]\n",
+      "Epoch 126: 100%|█████████████| 6/6 [00:02<00:00,  2.45it/s, loss=0.02]\n",
+      "Epoch 127: 100%|███████████| 6/6 [00:02<00:00,  2.36it/s, loss=0.0159]\n",
+      "Epoch 128: 100%|███████████| 6/6 [00:02<00:00,  2.41it/s, loss=0.0201]\n",
+      "Epoch 129: 100%|███████████| 6/6 [00:02<00:00,  2.40it/s, loss=0.0148]\n",
+      "Epoch 130: 100%|███████████| 6/6 [00:02<00:00,  2.36it/s, loss=0.0153]\n",
+      "Epoch 131: 100%|███████████| 6/6 [00:02<00:00,  2.37it/s, loss=0.0175]\n",
+      "Epoch 132: 100%|███████████| 6/6 [00:02<00:00,  2.38it/s, loss=0.0178]\n",
+      "Epoch 133: 100%|████████████| 6/6 [00:02<00:00,  2.23it/s, loss=0.018]\n",
+      "Epoch 134: 100%|███████████| 6/6 [00:02<00:00,  2.29it/s, loss=0.0179]\n",
+      "Epoch 135: 100%|███████████| 6/6 [00:02<00:00,  2.22it/s, loss=0.0153]\n",
+      "Epoch 136: 100%|███████████| 6/6 [00:02<00:00,  2.24it/s, loss=0.0173]\n",
+      "Epoch 137: 100%|███████████| 6/6 [00:02<00:00,  2.11it/s, loss=0.0164]\n",
+      "Epoch 138: 100%|███████████| 6/6 [00:02<00:00,  2.16it/s, loss=0.0165]\n",
+      "Epoch 139: 100%|███████████| 6/6 [00:03<00:00,  1.97it/s, loss=0.0146]\n",
+      "Epoch 140: 100%|███████████| 6/6 [00:02<00:00,  2.02it/s, loss=0.0188]\n",
+      "Epoch 141: 100%|███████████| 6/6 [00:02<00:00,  2.08it/s, loss=0.0194]\n",
+      "Epoch 142: 100%|███████████| 6/6 [00:02<00:00,  2.26it/s, loss=0.0143]\n",
+      "Epoch 143: 100%|███████████| 6/6 [00:03<00:00,  2.00it/s, loss=0.0154]\n",
+      "Epoch 144: 100%|████████████| 6/6 [00:02<00:00,  2.12it/s, loss=0.012]\n",
+      "Epoch 145: 100%|███████████| 6/6 [00:02<00:00,  2.00it/s, loss=0.0198]\n",
+      "Epoch 146: 100%|███████████| 6/6 [00:02<00:00,  2.16it/s, loss=0.0224]\n",
+      "Epoch 147: 100%|███████████| 6/6 [00:02<00:00,  2.18it/s, loss=0.0152]\n",
+      "Epoch 148: 100%|████████████| 6/6 [00:02<00:00,  2.11it/s, loss=0.018]\n",
+      "Epoch 149: 100%|████████████| 6/6 [00:02<00:00,  2.09it/s, loss=0.018]\n",
+      "sampling...: 100%|████████████████████████████████████████████████████████| 1000/1000 [00:32<00:00, 30.67it/s]\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 400x200 with 2 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "train completed, total time: 599.0462603569031.\n"
+     ]
+    }
+   ],
+   "source": [
+    "n_epochs = 150\n",
+    "val_interval = 25\n",
+    "epoch_loss_list = []\n",
+    "val_epoch_loss_list = []\n",
+    "\n",
+    "scaler = GradScaler()\n",
+    "total_start = time.time()\n",
+    "for epoch in range(n_epochs):\n",
+    "    controlnet.train()\n",
+    "    epoch_loss = 0\n",
+    "    progress_bar = tqdm(enumerate(train_loader), total=len(train_loader), ncols=70)\n",
+    "    progress_bar.set_description(f\"Epoch {epoch}\")\n",
+    "    for step, batch in progress_bar:\n",
+    "        images = batch[\"image\"].to(device)\n",
+    "        masks = batch[\"mask\"].to(device)\n",
+    "\n",
+    "        optimizer.zero_grad(set_to_none=True)\n",
+    "\n",
+    "        with autocast(enabled=True):\n",
+    "            # Generate random noise\n",
+    "            noise = torch.randn_like(images).to(device)\n",
+    "\n",
+    "            # Create timesteps\n",
+    "            timesteps = torch.randint(\n",
+    "                0, inferer.scheduler.num_train_timesteps, (images.shape[0],), device=images.device\n",
+    "            ).long()\n",
+    "\n",
+    "            noise_pred = controlnet_inferer(model, controlnet, noise, timesteps,\n",
+    "                                           cn_cond = masks, )\n",
+    "\n",
+    "            loss = F.mse_loss(noise_pred.float(), noise.float())\n",
+    "\n",
+    "        scaler.scale(loss).backward()\n",
+    "        scaler.step(optimizer)\n",
+    "        scaler.update()\n",
+    "\n",
+    "        epoch_loss += loss.item()\n",
+    "\n",
+    "        progress_bar.set_postfix({\"loss\": epoch_loss / (step + 1)})\n",
+    "    epoch_loss_list.append(epoch_loss / (step + 1))\n",
+    "\n",
+    "    if (epoch + 1) % val_interval == 0:\n",
+    "        controlnet.eval()\n",
+    "        val_epoch_loss = 0\n",
+    "        for step, batch in enumerate(val_loader):\n",
+    "            images = batch[\"image\"].to(device)\n",
+    "            masks = batch[\"mask\"].to(device)\n",
+    "\n",
+    "            with torch.no_grad():\n",
+    "                with autocast(enabled=True):\n",
+    "                    noise = torch.randn_like(images).to(device)\n",
+    "                    timesteps = torch.randint(\n",
+    "                        0, controlnet_inferer.scheduler.num_train_timesteps, (images.shape[0],), device=images.device\n",
+    "                    ).long()\n",
+    "                    \n",
+    "                    noise_pred = controlnet_inferer(model, controlnet, noise, timesteps,\n",
+    "                                           cn_cond = masks, )\n",
+    "                    val_loss = F.mse_loss(noise_pred.float(), noise.float())\n",
+    "\n",
+    "            \n",
+    "            val_epoch_loss += val_loss.item()\n",
+    "            \n",
+    "            progress_bar.set_postfix({\"val_loss\": val_epoch_loss / (step + 1)})\n",
+    "            break\n",
+    "        \n",
+    "        val_epoch_loss_list.append(val_epoch_loss / (step + 1))\n",
+    "\n",
+    "        # Sampling image during training with controlnet conditioning\n",
+    "        \n",
+    "        with torch.no_grad():\n",
+    "            with autocast(enabled=True):\n",
+    "                noise = torch.randn((1, 1, 64, 64)).to(device)\n",
+    "                sample = controlnet_inferer.sample(\n",
+    "                    input_noise = noise,\n",
+    "                    diffusion_model = model,\n",
+    "                    controlnet = controlnet,\n",
+    "                    cn_cond = masks[0, None, ...],\n",
+    "                    scheduler = scheduler,  \n",
+    "                )\n",
+    "        \n",
+    "        # Without using an inferer:\n",
+    "#         progress_bar_sampling = tqdm(scheduler.timesteps, total=len(scheduler.timesteps), ncols=110)\n",
+    "#         progress_bar_sampling.set_description(\"sampling...\")\n",
+    "#         sample = torch.randn((1, 1, 64, 64)).to(device)\n",
+    "#         for t in progress_bar_sampling:\n",
+    "#             with torch.no_grad():\n",
+    "#                 with autocast(enabled=True):\n",
+    "#                     down_block_res_samples, mid_block_res_sample = controlnet(\n",
+    "#                         x=sample, timesteps=torch.Tensor((t,)).to(device).long(), controlnet_cond=masks[0, None, ...]\n",
+    "#                     )\n",
+    "#                     noise_pred = model(\n",
+    "#                         sample,\n",
+    "#                         timesteps=torch.Tensor((t,)).to(device),\n",
+    "#                         down_block_additional_residuals=down_block_res_samples,\n",
+    "#                         mid_block_additional_residual=mid_block_res_sample,\n",
+    "#                     )\n",
+    "#                     sample, _ = scheduler.step(model_output=noise_pred, timestep=t, sample=sample)\n",
+    "\n",
+    "        plt.subplots(1, 2, figsize=(4, 2))\n",
+    "        plt.subplot(1, 2, 1)\n",
+    "        plt.imshow(masks[0, 0].cpu(), vmin=0, vmax=1, cmap=\"gray\")\n",
+    "        plt.axis(\"off\")\n",
+    "        plt.title(\"Conditioning mask\")\n",
+    "        plt.subplot(1, 2, 2)\n",
+    "        plt.imshow(sample[0, 0].cpu(), vmin=0, vmax=1, cmap=\"gray\")\n",
+    "        plt.axis(\"off\")\n",
+    "        plt.title(\"Sample image\")\n",
+    "        plt.tight_layout()\n",
+    "        plt.axis(\"off\")\n",
+    "        plt.show()\n",
+    "\n",
+    "total_time = time.time() - total_start\n",
+    "print(f\"train completed, total time: {total_time}.\")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "b005e3bd-54b9-44bc-964d-ca0c9585a139",
+   "metadata": {},
+   "source": [
+    "## Sample with ControlNet conditioning\n",
+    "First we'll provide a few different masks from the validation data as conditioning. The samples should respect the shape of the conditioning mask, but don't need to have the same content as the corresponding validation image."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 14,
+   "id": "262a5129-9445-4ecc-a37a-a97c59386747",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "sampling...: 100%|████████████████████████████████████████████████████████| 1000/1000 [00:37<00:00, 27.00it/s]\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 600x800 with 24 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "progress_bar_sampling = tqdm(scheduler.timesteps, total=len(scheduler.timesteps), ncols=110, position=0, leave=True)\n",
+    "progress_bar_sampling.set_description(\"sampling...\")\n",
+    "num_samples = 8\n",
+    "sample = torch.randn((num_samples, 1, 64, 64)).to(device)\n",
+    "\n",
+    "val_batch = first(val_loader)\n",
+    "val_images = val_batch[\"image\"].to(device)\n",
+    "val_masks = val_batch[\"mask\"].to(device)\n",
+    "for t in progress_bar_sampling:\n",
+    "    with torch.no_grad():\n",
+    "        with autocast(enabled=True):\n",
+    "            down_block_res_samples, mid_block_res_sample = controlnet(\n",
+    "                x=sample, timesteps=torch.Tensor((t,)).to(device).long(), controlnet_cond=val_masks[:num_samples, ...]\n",
+    "            )\n",
+    "            noise_pred = model(\n",
+    "                sample,\n",
+    "                timesteps=torch.Tensor((t,)).to(device),\n",
+    "                down_block_additional_residuals=down_block_res_samples,\n",
+    "                mid_block_additional_residual=mid_block_res_sample,\n",
+    "            )\n",
+    "            sample, _ = scheduler.step(model_output=noise_pred, timestep=t, sample=sample)\n",
+    "\n",
+    "plt.subplots(num_samples, 3, figsize=(6, 8))\n",
+    "for k in range(num_samples):\n",
+    "    plt.subplot(num_samples, 3, k * 3 + 1)\n",
+    "    plt.imshow(val_masks[k, 0, ...].cpu(), vmin=0, vmax=1, cmap=\"gray\")\n",
+    "    plt.axis(\"off\")\n",
+    "    if k == 0:\n",
+    "        plt.title(\"Conditioning mask\")\n",
+    "    plt.subplot(num_samples, 3, k * 3 + 2)\n",
+    "    plt.imshow(val_images[k, 0, ...].cpu(), vmin=0, vmax=1, cmap=\"gray\")\n",
+    "    plt.axis(\"off\")\n",
+    "    if k == 0:\n",
+    "        plt.title(\"Actual val image\")\n",
+    "    plt.subplot(num_samples, 3, k * 3 + 3)\n",
+    "    plt.imshow(sample[k, 0, ...].cpu(), vmin=0, vmax=1, cmap=\"gray\")\n",
+    "    plt.axis(\"off\")\n",
+    "    if k == 0:\n",
+    "        plt.title(\"Sampled image\")\n",
+    "plt.tight_layout()\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "a1ca8274-d85c-4dcc-9c16-08ac2b6ce0fd",
+   "metadata": {},
+   "source": [
+    "What happens if we invent some masks? Let's try a circle, and a square"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 15,
+   "id": "393fca6c-2446-4822-8aad-44403761b40e",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "sampling...: 100%|████████████████████████████████████████████████████████| 1000/1000 [00:16<00:00, 61.51it/s]\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 400x400 with 4 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "xx, yy = np.mgrid[:64, :64]\n",
+    "circle = ((xx - 32) ** 2 + (yy - 32) ** 2) < 30**2\n",
+    "\n",
+    "square = np.zeros((64, 64))\n",
+    "square[10:50, 10:50] = 1\n",
+    "\n",
+    "mask = np.concatenate((circle[None, None, ...], square[None, None, ...]), axis=0)\n",
+    "mask = torch.from_numpy(mask.astype(np.float32)).to(device)\n",
+    "\n",
+    "\n",
+    "progress_bar_sampling = tqdm(scheduler.timesteps, total=len(scheduler.timesteps), ncols=110, position=0, leave=True)\n",
+    "progress_bar_sampling.set_description(\"sampling...\")\n",
+    "num_samples = 2\n",
+    "sample = torch.randn((num_samples, 1, 64, 64)).to(device)\n",
+    "\n",
+    "for t in progress_bar_sampling:\n",
+    "    with torch.no_grad():\n",
+    "        with autocast(enabled=True):\n",
+    "            down_block_res_samples, mid_block_res_sample = controlnet(\n",
+    "                x=sample, timesteps=torch.Tensor((t,)).to(device).long(), controlnet_cond=mask\n",
+    "            )\n",
+    "            noise_pred = model(\n",
+    "                sample,\n",
+    "                timesteps=torch.Tensor((t,)).to(device),\n",
+    "                down_block_additional_residuals=down_block_res_samples,\n",
+    "                mid_block_additional_residual=mid_block_res_sample,\n",
+    "            )\n",
+    "            sample, _ = scheduler.step(model_output=noise_pred, timestep=t, sample=sample)\n",
+    "\n",
+    "plt.subplots(num_samples, 2, figsize=(4, 4))\n",
+    "for k in range(num_samples):\n",
+    "    plt.subplot(num_samples, 2, k * 2 + 1)\n",
+    "    plt.imshow(mask[k, 0, ...].cpu(), vmin=0, vmax=1, cmap=\"gray\")\n",
+    "    plt.axis(\"off\")\n",
+    "    if k == 0:\n",
+    "        plt.title(\"Conditioning mask\")\n",
+    "    plt.subplot(num_samples, 2, k * 2 + 2)\n",
+    "    plt.imshow(sample[k, 0, ...].cpu(), vmin=0, vmax=1, cmap=\"gray\")\n",
+    "    plt.axis(\"off\")\n",
+    "    if k == 0:\n",
+    "        plt.title(\"Sampled image\")\n",
+    "plt.tight_layout()\n",
+    "plt.show()"
+   ]
+  }
+ ],
+ "metadata": {
+  "jupytext": {
+   "formats": "py:percent,ipynb"
+  },
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.9.16"
+  },
+  "vscode": {
+   "interpreter": {
+    "hash": "4f1513a79f82193cb81c96943579af15c6a44d6347609348bde584197ab7b1ab"
+   }
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
 }
diff --git a/tutorials/generative/2d_controlnet/2d_controlnet.py b/tutorials/generative/2d_controlnet/2d_controlnet.py
index 8f48892a..6cc7b545 100644
--- a/tutorials/generative/2d_controlnet/2d_controlnet.py
+++ b/tutorials/generative/2d_controlnet/2d_controlnet.py
@@ -6,7 +6,7 @@
 #       extension: .py
 #       format_name: percent
 #       format_version: '1.3'
-#       jupytext_version: 1.14.1
+#       jupytext_version: 1.14.4
 #   kernelspec:
 #     display_name: Python 3 (ipykernel)
 #     language: python
@@ -50,7 +50,6 @@
 
 # %% jupyter={"outputs_hidden": false}
 import os
-import tempfile
 import time
 import os
 import matplotlib.pyplot as plt
@@ -66,7 +65,7 @@
 from tqdm import tqdm
 
 
-from generative.inferers import DiffusionInferer
+from generative.inferers import ControlNetDiffusionInferer
 from generative.networks.nets import DiffusionModelUNet, ControlNet
 from generative.networks.schedulers import DDPMScheduler
 
@@ -78,7 +77,7 @@
 
 # %% jupyter={"outputs_hidden": false}
 directory = os.environ.get("MONAI_DATA_DIRECTORY")
-root_dir = tempfile.mkdtemp() if directory is None else directory
+root_dir = "/tmp/tmpb89d70u5/" #tempfile.mkdtemp() if directory is None else directory
 
 # %% [markdown]
 # ### Set deterministic training for reproducibility
@@ -212,6 +211,7 @@
 inferer = DiffusionInferer(scheduler)
 
 
+
 # %% [markdown]
 # ### Run training
 #
@@ -314,6 +314,7 @@
 for p in model.parameters():
     p.requires_grad = False
 optimizer = torch.optim.Adam(params=controlnet.parameters(), lr=2.5e-5)
+controlnet_inferer = ControlNetDiffusionInferer(scheduler)
 
 
 # %% [markdown] tags=[]
@@ -328,7 +329,7 @@
 scaler = GradScaler()
 total_start = time.time()
 for epoch in range(n_epochs):
-    model.train()
+    controlnet.train()
     epoch_loss = 0
     progress_bar = tqdm(enumerate(train_loader), total=len(train_loader), ncols=70)
     progress_bar.set_description(f"Epoch {epoch}")
@@ -347,19 +348,8 @@
                 0, inferer.scheduler.num_train_timesteps, (images.shape[0],), device=images.device
             ).long()
 
-            images_noised = scheduler.add_noise(images, noise=noise, timesteps=timesteps)
-
-            # Get controlnet output
-            down_block_res_samples, mid_block_res_sample = controlnet(
-                x=images_noised, timesteps=timesteps, controlnet_cond=masks
-            )
-            # Get model prediction
-            noise_pred = model(
-                x=images_noised,
-                timesteps=timesteps,
-                down_block_additional_residuals=down_block_res_samples,
-                mid_block_additional_residual=mid_block_res_sample,
-            )
+            noise_pred = controlnet_inferer(model, controlnet, noise, timesteps,
+                                           cn_cond = masks, )
 
             loss = F.mse_loss(noise_pred.float(), noise.float())
 
@@ -373,7 +363,7 @@
     epoch_loss_list.append(epoch_loss / (step + 1))
 
     if (epoch + 1) % val_interval == 0:
-        model.eval()
+        controlnet.eval()
         val_epoch_loss = 0
         for step, batch in enumerate(val_loader):
             images = batch["image"].to(device)
@@ -383,33 +373,51 @@
                 with autocast(enabled=True):
                     noise = torch.randn_like(images).to(device)
                     timesteps = torch.randint(
-                        0, inferer.scheduler.num_train_timesteps, (images.shape[0],), device=images.device
+                        0, controlnet_inferer.scheduler.num_train_timesteps, (images.shape[0],), device=images.device
                     ).long()
-                    noise_pred = inferer(inputs=images, diffusion_model=model, noise=noise, timesteps=timesteps)
+
+                    noise_pred = controlnet_inferer(model, controlnet, noise, timesteps,
+                                           cn_cond = masks, )
                     val_loss = F.mse_loss(noise_pred.float(), noise.float())
 
+
             val_epoch_loss += val_loss.item()
+
             progress_bar.set_postfix({"val_loss": val_epoch_loss / (step + 1)})
             break
+
         val_epoch_loss_list.append(val_epoch_loss / (step + 1))
 
         # Sampling image during training with controlnet conditioning
-        progress_bar_sampling = tqdm(scheduler.timesteps, total=len(scheduler.timesteps), ncols=110)
-        progress_bar_sampling.set_description("sampling...")
-        sample = torch.randn((1, 1, 64, 64)).to(device)
-        for t in progress_bar_sampling:
-            with torch.no_grad():
-                with autocast(enabled=True):
-                    down_block_res_samples, mid_block_res_sample = controlnet(
-                        x=sample, timesteps=torch.Tensor((t,)).to(device).long(), controlnet_cond=masks[0, None, ...]
-                    )
-                    noise_pred = model(
-                        sample,
-                        timesteps=torch.Tensor((t,)).to(device),
-                        down_block_additional_residuals=down_block_res_samples,
-                        mid_block_additional_residual=mid_block_res_sample,
-                    )
-                    sample, _ = scheduler.step(model_output=noise_pred, timestep=t, sample=sample)
+
+        with torch.no_grad():
+            with autocast(enabled=True):
+                noise = torch.randn((1, 1, 64, 64)).to(device)
+                sample = controlnet_inferer.sample(
+                    input_noise = noise,
+                    diffusion_model = model,
+                    controlnet = controlnet,
+                    cn_cond = masks[0, None, ...],
+                    scheduler = scheduler,
+                )
+
+        # Without using an inferer:
+#         progress_bar_sampling = tqdm(scheduler.timesteps, total=len(scheduler.timesteps), ncols=110)
+#         progress_bar_sampling.set_description("sampling...")
+#         sample = torch.randn((1, 1, 64, 64)).to(device)
+#         for t in progress_bar_sampling:
+#             with torch.no_grad():
+#                 with autocast(enabled=True):
+#                     down_block_res_samples, mid_block_res_sample = controlnet(
+#                         x=sample, timesteps=torch.Tensor((t,)).to(device).long(), controlnet_cond=masks[0, None, ...]
+#                     )
+#                     noise_pred = model(
+#                         sample,
+#                         timesteps=torch.Tensor((t,)).to(device),
+#                         down_block_additional_residuals=down_block_res_samples,
+#                         mid_block_additional_residual=mid_block_res_sample,
+#                     )
+#                     sample, _ = scheduler.step(model_output=noise_pred, timestep=t, sample=sample)
 
         plt.subplots(1, 2, figsize=(4, 2))
         plt.subplot(1, 2, 1)

From 8bc7a3f196db9ebaa5456bc0767f969417ad296f Mon Sep 17 00:00:00 2001
From: virginiafdez <virginia.fernandez@kcl.ac.uk>
Date: Fri, 15 Dec 2023 12:47:50 +0000
Subject: [PATCH 2/2] Modified controlnet tutorial to fix typos, as well as
 including ControlNetDiffusionInferer to clean up the code. Ran the notebook.

---
 .../2d_controlnet/2d_controlnet.ipynb         | 771 +++++++++++++-----
 .../generative/2d_controlnet/2d_controlnet.py |  14 +-
 2 files changed, 570 insertions(+), 215 deletions(-)

diff --git a/tutorials/generative/2d_controlnet/2d_controlnet.ipynb b/tutorials/generative/2d_controlnet/2d_controlnet.ipynb
index 8c3f71b8..ec847985 100644
--- a/tutorials/generative/2d_controlnet/2d_controlnet.ipynb
+++ b/tutorials/generative/2d_controlnet/2d_controlnet.ipynb
@@ -2,7 +2,7 @@
  "cells": [
   {
    "cell_type": "code",
-   "execution_count": 1,
+   "execution_count": null,
    "id": "70eef519",
    "metadata": {},
    "outputs": [],
@@ -41,7 +41,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 1,
+   "execution_count": null,
    "id": "022890b1-ea44-4c60-8a80-ed1fc755f90b",
    "metadata": {},
    "outputs": [],
@@ -61,7 +61,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 1,
    "id": "972ed3f3",
    "metadata": {
     "jupyter": {
@@ -69,10 +69,44 @@
     },
     "lines_to_next_cell": 2
    },
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "MONAI version: 1.2.dev2304\n",
+      "Numpy version: 1.23.5\n",
+      "Pytorch version: 1.13.1+cu117\n",
+      "MONAI flags: HAS_EXT = False, USE_COMPILED = False, USE_META_DICT = False\n",
+      "MONAI rev id: 9a57be5aab9f2c2a134768c0c146399150e247a0\n",
+      "MONAI __file__: /home/vf19/PycharmProjects/GenerativeModels/venv/lib/python3.9/site-packages/monai/__init__.py\n",
+      "\n",
+      "Optional dependencies:\n",
+      "Pytorch Ignite version: 0.4.10\n",
+      "ITK version: 5.3.0\n",
+      "Nibabel version: 5.0.0\n",
+      "scikit-image version: 0.19.3\n",
+      "Pillow version: 9.4.0\n",
+      "Tensorboard version: 2.12.0\n",
+      "gdown version: 4.6.3\n",
+      "TorchVision version: 0.14.1+cu117\n",
+      "tqdm version: 4.64.1\n",
+      "lmdb version: 1.4.0\n",
+      "psutil version: 5.9.4\n",
+      "pandas version: 1.5.3\n",
+      "einops version: 0.6.0\n",
+      "transformers version: 4.21.3\n",
+      "mlflow version: 2.1.1\n",
+      "pynrrd version: 1.0.0\n",
+      "\n",
+      "For details about installing the optional dependencies, please visit:\n",
+      "    https://docs.monai.io/en/latest/installation.html#installing-the-recommended-dependencies\n",
+      "\n"
+     ]
+    }
+   ],
    "source": [
     "import os\n",
-    "import tempfile\n",
     "import time\n",
     "import os\n",
     "import matplotlib.pyplot as plt\n",
@@ -88,7 +122,7 @@
     "from tqdm import tqdm\n",
     "\n",
     "\n",
-    "from generative.inferers import ControlNetDiffusionInferer\n",
+    "from generative.inferers import ControlNetDiffusionInferer, DiffusionInferer\n",
     "from generative.networks.nets import DiffusionModelUNet, ControlNet\n",
     "from generative.networks.schedulers import DDPMScheduler\n",
     "\n",
@@ -105,7 +139,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 7,
+   "execution_count": 2,
    "id": "8b4323e7",
    "metadata": {
     "jupyter": {
@@ -115,7 +149,7 @@
    "outputs": [],
    "source": [
     "directory = os.environ.get(\"MONAI_DATA_DIRECTORY\")\n",
-    "root_dir = \"/tmp/tmpb89d70u5/\" #tempfile.mkdtemp() if directory is None else directory"
+    "root_dir = tempfile.mkdtemp() if directory is None else directory"
    ]
   },
   {
@@ -128,7 +162,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 8,
+   "execution_count": 3,
    "id": "34ea510f",
    "metadata": {
     "jupyter": {
@@ -163,7 +197,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 9,
+   "execution_count": 4,
    "id": "c68d2d91-9a0b-4ac1-ae49-f4a64edbd82a",
    "metadata": {},
    "outputs": [],
@@ -202,7 +236,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 10,
+   "execution_count": 5,
    "id": "da1927b0",
    "metadata": {
     "jupyter": {
@@ -214,21 +248,46 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "2023-12-13 16:10:42,349 - ERROR - check_hash failed 7b218bce011d7f4c971c0c147f86cf2d.\n"
+      "2023-12-15 11:43:28,183 - INFO - Verified 'Task01_BrainTumour.tar', md5: 240a19d752f0d9e9101544901065d872.\n",
+      "2023-12-15 11:43:28,184 - INFO - File exists: /media/vf19/BigCrumb/MONAI_GEN_DATA/Task01_BrainTumour.tar, skipped downloading.\n",
+      "2023-12-15 11:43:28,184 - INFO - Non-empty folder exists in /media/vf19/BigCrumb/MONAI_GEN_DATA/Task01_BrainTumour, skipped extracting.\n"
      ]
     },
     {
-     "ename": "RuntimeError",
-     "evalue": "md5 check of existing file failed: filepath=/tmp/tmpb89d70u5/Task01_BrainTumour.tar, expected md5=240a19d752f0d9e9101544901065d872.",
-     "output_type": "error",
-     "traceback": [
-      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
-      "\u001b[0;31mRuntimeError\u001b[0m                              Traceback (most recent call last)",
-      "Cell \u001b[0;32mIn[10], line 1\u001b[0m\n\u001b[0;32m----> 1\u001b[0m train_ds \u001b[38;5;241m=\u001b[39m \u001b[43mDecathlonDataset\u001b[49m\u001b[43m(\u001b[49m\n\u001b[1;32m      2\u001b[0m \u001b[43m    \u001b[49m\u001b[43mroot_dir\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mroot_dir\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m      3\u001b[0m \u001b[43m    \u001b[49m\u001b[43mtask\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mTask01_BrainTumour\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m,\u001b[49m\n\u001b[1;32m      4\u001b[0m \u001b[43m    \u001b[49m\u001b[43msection\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mtraining\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m,\u001b[49m\n\u001b[1;32m      5\u001b[0m \u001b[43m    \u001b[49m\u001b[43mcache_rate\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;241;43m1.0\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m  \u001b[49m\u001b[38;5;66;43;03m# you may need a few Gb of RAM... Set to 0 otherwise\u001b[39;49;00m\n\u001b[1;32m      6\u001b[0m \u001b[43m    \u001b[49m\u001b[43mnum_workers\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;241;43m4\u001b[39;49m\u001b[43m,\u001b[49m\n\u001b[1;32m      7\u001b[0m \u001b[43m    \u001b[49m\u001b[43mdownload\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;28;43;01mTrue\u001b[39;49;00m\u001b[43m,\u001b[49m\n\u001b[1;32m      8\u001b[0m \u001b[43m    \u001b[49m\u001b[43mseed\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;241;43m0\u001b[39;49m\u001b[43m,\u001b[49m\n\u001b[1;32m      9\u001b[0m \u001b[43m    \u001b[49m\u001b[43mtransform\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mtrain_transforms\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m     10\u001b[0m \u001b[43m)\u001b[49m\n\u001b[1;32m     11\u001b[0m \u001b[38;5;28mprint\u001b[39m(\u001b[38;5;124mf\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mLength of training data: \u001b[39m\u001b[38;5;132;01m{\u001b[39;00m\u001b[38;5;28mlen\u001b[39m(train_ds)\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m\"\u001b[39m)\n\u001b[1;32m     12\u001b[0m \u001b[38;5;28mprint\u001b[39m(\u001b[38;5;124mf\u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mTrain image shape \u001b[39m\u001b[38;5;132;01m{\u001b[39;00mtrain_ds[\u001b[38;5;241m0\u001b[39m][\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mimage\u001b[39m\u001b[38;5;124m\"\u001b[39m]\u001b[38;5;241m.\u001b[39mshape\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m'\u001b[39m)\n",
-      "File \u001b[0;32m~/PycharmProjects/GenerativeModels/venv/lib/python3.9/site-packages/monai/apps/datasets.py:314\u001b[0m, in \u001b[0;36mDecathlonDataset.__init__\u001b[0;34m(self, root_dir, task, section, transform, download, seed, val_frac, cache_num, cache_rate, num_workers, progress, copy_cache, as_contiguous, runtime_cache)\u001b[0m\n\u001b[1;32m    312\u001b[0m tarfile_name \u001b[38;5;241m=\u001b[39m \u001b[38;5;124mf\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;132;01m{\u001b[39;00mdataset_dir\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m.tar\u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[1;32m    313\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m download:\n\u001b[0;32m--> 314\u001b[0m     \u001b[43mdownload_and_extract\u001b[49m\u001b[43m(\u001b[49m\n\u001b[1;32m    315\u001b[0m \u001b[43m        \u001b[49m\u001b[43murl\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mresource\u001b[49m\u001b[43m[\u001b[49m\u001b[43mtask\u001b[49m\u001b[43m]\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m    316\u001b[0m \u001b[43m        \u001b[49m\u001b[43mfilepath\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mtarfile_name\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m    317\u001b[0m \u001b[43m        \u001b[49m\u001b[43moutput_dir\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mroot_dir\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m    318\u001b[0m \u001b[43m        \u001b[49m\u001b[43mhash_val\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mmd5\u001b[49m\u001b[43m[\u001b[49m\u001b[43mtask\u001b[49m\u001b[43m]\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m    319\u001b[0m \u001b[43m        \u001b[49m\u001b[43mhash_type\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mmd5\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m,\u001b[49m\n\u001b[1;32m    320\u001b[0m \u001b[43m        \u001b[49m\u001b[43mprogress\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mprogress\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m    321\u001b[0m \u001b[43m    \u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m    323\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m dataset_dir\u001b[38;5;241m.\u001b[39mexists():\n\u001b[1;32m    324\u001b[0m     \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mRuntimeError\u001b[39;00m(\n\u001b[1;32m    325\u001b[0m         \u001b[38;5;124mf\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mCannot find dataset directory: \u001b[39m\u001b[38;5;132;01m{\u001b[39;00mdataset_dir\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m, please use download=True to download it.\u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[1;32m    326\u001b[0m     )\n",
-      "File \u001b[0;32m~/PycharmProjects/GenerativeModels/venv/lib/python3.9/site-packages/monai/apps/utils.py:314\u001b[0m, in \u001b[0;36mdownload_and_extract\u001b[0;34m(url, filepath, output_dir, hash_val, hash_type, file_type, has_base, progress)\u001b[0m\n\u001b[1;32m    312\u001b[0m \u001b[38;5;28;01mwith\u001b[39;00m tempfile\u001b[38;5;241m.\u001b[39mTemporaryDirectory() \u001b[38;5;28;01mas\u001b[39;00m tmp_dir:\n\u001b[1;32m    313\u001b[0m     filename \u001b[38;5;241m=\u001b[39m filepath \u001b[38;5;129;01mor\u001b[39;00m Path(tmp_dir, _basename(url))\u001b[38;5;241m.\u001b[39mresolve()\n\u001b[0;32m--> 314\u001b[0m     \u001b[43mdownload_url\u001b[49m\u001b[43m(\u001b[49m\u001b[43murl\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43murl\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mfilepath\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mfilename\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mhash_val\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mhash_val\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mhash_type\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mhash_type\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mprogress\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mprogress\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m    315\u001b[0m     extractall(filepath\u001b[38;5;241m=\u001b[39mfilename, output_dir\u001b[38;5;241m=\u001b[39moutput_dir, file_type\u001b[38;5;241m=\u001b[39mfile_type, has_base\u001b[38;5;241m=\u001b[39mhas_base)\n",
-      "File \u001b[0;32m~/PycharmProjects/GenerativeModels/venv/lib/python3.9/site-packages/monai/apps/utils.py:192\u001b[0m, in \u001b[0;36mdownload_url\u001b[0;34m(url, filepath, hash_val, hash_type, progress, **gdown_kwargs)\u001b[0m\n\u001b[1;32m    190\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m filepath\u001b[38;5;241m.\u001b[39mexists():\n\u001b[1;32m    191\u001b[0m     \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m check_hash(filepath, hash_val, hash_type):\n\u001b[0;32m--> 192\u001b[0m         \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mRuntimeError\u001b[39;00m(\n\u001b[1;32m    193\u001b[0m             \u001b[38;5;124mf\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;132;01m{\u001b[39;00mhash_type\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m check of existing file failed: filepath=\u001b[39m\u001b[38;5;132;01m{\u001b[39;00mfilepath\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m, expected \u001b[39m\u001b[38;5;132;01m{\u001b[39;00mhash_type\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m=\u001b[39m\u001b[38;5;132;01m{\u001b[39;00mhash_val\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m.\u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[1;32m    194\u001b[0m         )\n\u001b[1;32m    195\u001b[0m     logger\u001b[38;5;241m.\u001b[39minfo(\u001b[38;5;124mf\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mFile exists: \u001b[39m\u001b[38;5;132;01m{\u001b[39;00mfilepath\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m, skipped downloading.\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n\u001b[1;32m    196\u001b[0m     \u001b[38;5;28;01mreturn\u001b[39;00m\n",
-      "\u001b[0;31mRuntimeError\u001b[0m: md5 check of existing file failed: filepath=/tmp/tmpb89d70u5/Task01_BrainTumour.tar, expected md5=240a19d752f0d9e9101544901065d872."
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "Loading dataset: 100%|██████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 388/388 [01:35<00:00,  4.08it/s]\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Length of training data: 388\n",
+      "Train image shape torch.Size([1, 64, 64])\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "Loading dataset: 100%|████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 96/96 [00:23<00:00,  4.04it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Length of val data: 96\n",
+      "Validation image shape torch.Size([1, 64, 64])\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "\n"
      ]
     }
    ],
@@ -262,7 +321,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 6,
    "id": "8e4d6164-00e5-4663-a678-1391438574e9",
    "metadata": {},
    "outputs": [],
@@ -281,10 +340,28 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 7,
    "id": "17a5e9a4-9756-400b-8dbd-0f1d457ad3dd",
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Batch shape: torch.Size([64, 1, 64, 64])\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 600x300 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
    "source": [
     "check_data = first(train_loader)\n",
     "print(f\"Batch shape: {check_data['image'].shape}\")\n",
@@ -332,10 +409,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 8,
    "id": "bee5913e",
    "metadata": {
-    "lines_to_next_cell": 2,
     "tags": []
    },
    "outputs": [],
@@ -357,7 +433,8 @@
     "\n",
     "optimizer = torch.optim.Adam(params=model.parameters(), lr=2.5e-5)\n",
     "\n",
-    "inferer = DiffusionInferer(scheduler)\n"
+    "inferer = DiffusionInferer(scheduler)\n",
+    "\n"
    ]
   },
   {
@@ -370,12 +447,272 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 9,
    "id": "9a4fc901",
    "metadata": {
     "tags": []
    },
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "Epoch 0: 100%|██████████████| 6/6 [00:02<00:00,  2.47it/s, loss=0.987]\n",
+      "Epoch 1: 100%|██████████████| 6/6 [00:02<00:00,  2.92it/s, loss=0.946]\n",
+      "Epoch 2: 100%|██████████████| 6/6 [00:02<00:00,  2.86it/s, loss=0.893]\n",
+      "Epoch 3: 100%|██████████████| 6/6 [00:02<00:00,  2.87it/s, loss=0.836]\n",
+      "Epoch 4: 100%|███████████████| 6/6 [00:02<00:00,  2.81it/s, loss=0.78]\n",
+      "Epoch 5: 100%|██████████████| 6/6 [00:02<00:00,  2.83it/s, loss=0.723]\n",
+      "Epoch 6: 100%|██████████████| 6/6 [00:02<00:00,  2.92it/s, loss=0.673]\n",
+      "Epoch 7: 100%|██████████████| 6/6 [00:02<00:00,  2.90it/s, loss=0.617]\n",
+      "Epoch 8: 100%|██████████████| 6/6 [00:02<00:00,  2.88it/s, loss=0.567]\n",
+      "Epoch 9: 100%|███████████████| 6/6 [00:02<00:00,  2.88it/s, loss=0.52]\n",
+      "Epoch 10: 100%|█████████████| 6/6 [00:02<00:00,  2.81it/s, loss=0.478]\n",
+      "Epoch 11: 100%|█████████████| 6/6 [00:02<00:00,  2.92it/s, loss=0.434]\n",
+      "Epoch 12: 100%|█████████████| 6/6 [00:02<00:00,  2.84it/s, loss=0.389]\n",
+      "Epoch 13: 100%|█████████████| 6/6 [00:02<00:00,  2.90it/s, loss=0.357]\n",
+      "Epoch 14: 100%|█████████████| 6/6 [00:02<00:00,  2.91it/s, loss=0.321]\n",
+      "Epoch 15: 100%|█████████████| 6/6 [00:02<00:00,  2.84it/s, loss=0.284]\n",
+      "Epoch 16: 100%|█████████████| 6/6 [00:02<00:00,  2.88it/s, loss=0.252]\n",
+      "Epoch 17: 100%|█████████████| 6/6 [00:02<00:00,  2.85it/s, loss=0.227]\n",
+      "Epoch 18: 100%|█████████████| 6/6 [00:02<00:00,  2.91it/s, loss=0.205]\n",
+      "Epoch 19: 100%|█████████████| 6/6 [00:02<00:00,  2.89it/s, loss=0.197]\n",
+      "Epoch 20: 100%|█████████████| 6/6 [00:02<00:00,  2.80it/s, loss=0.168]\n",
+      "Epoch 21: 100%|█████████████| 6/6 [00:02<00:00,  2.92it/s, loss=0.153]\n",
+      "Epoch 22: 100%|█████████████| 6/6 [00:02<00:00,  2.89it/s, loss=0.137]\n",
+      "Epoch 23: 100%|█████████████| 6/6 [00:02<00:00,  2.80it/s, loss=0.123]\n",
+      "Epoch 24: 100%|█████████████| 6/6 [00:02<00:00,  2.85it/s, loss=0.112]\n",
+      "100%|█████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 1000/1000 [00:10<00:00, 97.40it/s]\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 200x200 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "Epoch 25: 100%|█████████████| 6/6 [00:02<00:00,  2.82it/s, loss=0.104]\n",
+      "Epoch 26: 100%|████████████| 6/6 [00:02<00:00,  2.88it/s, loss=0.0924]\n",
+      "Epoch 27: 100%|████████████| 6/6 [00:02<00:00,  2.88it/s, loss=0.0876]\n",
+      "Epoch 28: 100%|████████████| 6/6 [00:02<00:00,  2.86it/s, loss=0.0779]\n",
+      "Epoch 29: 100%|████████████| 6/6 [00:02<00:00,  2.76it/s, loss=0.0702]\n",
+      "Epoch 30: 100%|████████████| 6/6 [00:02<00:00,  2.87it/s, loss=0.0607]\n",
+      "Epoch 31: 100%|████████████| 6/6 [00:02<00:00,  2.86it/s, loss=0.0574]\n",
+      "Epoch 32: 100%|████████████| 6/6 [00:02<00:00,  2.88it/s, loss=0.0535]\n",
+      "Epoch 33: 100%|████████████| 6/6 [00:02<00:00,  2.88it/s, loss=0.0452]\n",
+      "Epoch 34: 100%|████████████| 6/6 [00:02<00:00,  2.77it/s, loss=0.0497]\n",
+      "Epoch 35: 100%|████████████| 6/6 [00:02<00:00,  2.88it/s, loss=0.0471]\n",
+      "Epoch 36: 100%|████████████| 6/6 [00:02<00:00,  2.85it/s, loss=0.0379]\n",
+      "Epoch 37: 100%|████████████| 6/6 [00:02<00:00,  2.85it/s, loss=0.0382]\n",
+      "Epoch 38: 100%|████████████| 6/6 [00:02<00:00,  2.85it/s, loss=0.0412]\n",
+      "Epoch 39: 100%|████████████| 6/6 [00:02<00:00,  2.75it/s, loss=0.0317]\n",
+      "Epoch 40: 100%|████████████| 6/6 [00:02<00:00,  2.87it/s, loss=0.0379]\n",
+      "Epoch 41: 100%|████████████| 6/6 [00:02<00:00,  2.87it/s, loss=0.0339]\n",
+      "Epoch 42: 100%|████████████| 6/6 [00:02<00:00,  2.87it/s, loss=0.0302]\n",
+      "Epoch 43: 100%|████████████| 6/6 [00:02<00:00,  2.81it/s, loss=0.0287]\n",
+      "Epoch 44: 100%|████████████| 6/6 [00:02<00:00,  2.87it/s, loss=0.0268]\n",
+      "Epoch 45: 100%|████████████| 6/6 [00:02<00:00,  2.80it/s, loss=0.0255]\n",
+      "Epoch 46: 100%|████████████| 6/6 [00:02<00:00,  2.81it/s, loss=0.0304]\n",
+      "Epoch 47: 100%|████████████| 6/6 [00:02<00:00,  2.87it/s, loss=0.0265]\n",
+      "Epoch 48: 100%|████████████| 6/6 [00:02<00:00,  2.85it/s, loss=0.0263]\n",
+      "Epoch 49: 100%|████████████| 6/6 [00:02<00:00,  2.84it/s, loss=0.0251]\n",
+      "100%|█████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 1000/1000 [00:10<00:00, 95.41it/s]\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 200x200 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "Epoch 50: 100%|████████████| 6/6 [00:02<00:00,  2.80it/s, loss=0.0245]\n",
+      "Epoch 51: 100%|████████████| 6/6 [00:02<00:00,  2.83it/s, loss=0.0227]\n",
+      "Epoch 52: 100%|████████████| 6/6 [00:02<00:00,  2.83it/s, loss=0.0295]\n",
+      "Epoch 53: 100%|████████████| 6/6 [00:02<00:00,  2.87it/s, loss=0.0228]\n",
+      "Epoch 54: 100%|████████████| 6/6 [00:02<00:00,  2.87it/s, loss=0.0284]\n",
+      "Epoch 55: 100%|████████████| 6/6 [00:02<00:00,  2.81it/s, loss=0.0257]\n",
+      "Epoch 56: 100%|████████████| 6/6 [00:02<00:00,  2.87it/s, loss=0.0204]\n",
+      "Epoch 57: 100%|████████████| 6/6 [00:02<00:00,  2.82it/s, loss=0.0264]\n",
+      "Epoch 58: 100%|████████████| 6/6 [00:02<00:00,  2.86it/s, loss=0.0236]\n",
+      "Epoch 59: 100%|████████████| 6/6 [00:02<00:00,  2.73it/s, loss=0.0226]\n",
+      "Epoch 60: 100%|████████████| 6/6 [00:02<00:00,  2.87it/s, loss=0.0271]\n",
+      "Epoch 61: 100%|████████████| 6/6 [00:02<00:00,  2.88it/s, loss=0.0235]\n",
+      "Epoch 62: 100%|████████████| 6/6 [00:02<00:00,  2.85it/s, loss=0.0233]\n",
+      "Epoch 63: 100%|█████████████| 6/6 [00:02<00:00,  2.81it/s, loss=0.021]\n",
+      "Epoch 64: 100%|████████████| 6/6 [00:02<00:00,  2.84it/s, loss=0.0245]\n",
+      "Epoch 65: 100%|████████████| 6/6 [00:02<00:00,  2.75it/s, loss=0.0245]\n",
+      "Epoch 66: 100%|████████████| 6/6 [00:02<00:00,  2.87it/s, loss=0.0194]\n",
+      "Epoch 67: 100%|████████████| 6/6 [00:02<00:00,  2.87it/s, loss=0.0226]\n",
+      "Epoch 68: 100%|█████████████| 6/6 [00:02<00:00,  2.86it/s, loss=0.025]\n",
+      "Epoch 69: 100%|████████████| 6/6 [00:02<00:00,  2.86it/s, loss=0.0209]\n",
+      "Epoch 70: 100%|████████████| 6/6 [00:02<00:00,  2.76it/s, loss=0.0237]\n",
+      "Epoch 71: 100%|████████████| 6/6 [00:02<00:00,  2.88it/s, loss=0.0262]\n",
+      "Epoch 72: 100%|████████████| 6/6 [00:02<00:00,  2.89it/s, loss=0.0255]\n",
+      "Epoch 73: 100%|████████████| 6/6 [00:02<00:00,  2.87it/s, loss=0.0232]\n",
+      "Epoch 74: 100%|████████████| 6/6 [00:02<00:00,  2.87it/s, loss=0.0229]\n",
+      "100%|█████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 1000/1000 [00:10<00:00, 98.24it/s]\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 200x200 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "Epoch 75: 100%|████████████| 6/6 [00:02<00:00,  2.71it/s, loss=0.0198]\n",
+      "Epoch 76: 100%|████████████| 6/6 [00:02<00:00,  2.87it/s, loss=0.0264]\n",
+      "Epoch 77: 100%|████████████| 6/6 [00:02<00:00,  2.84it/s, loss=0.0207]\n",
+      "Epoch 78: 100%|████████████| 6/6 [00:02<00:00,  2.83it/s, loss=0.0192]\n",
+      "Epoch 79: 100%|████████████| 6/6 [00:02<00:00,  2.85it/s, loss=0.0256]\n",
+      "Epoch 80: 100%|████████████| 6/6 [00:02<00:00,  2.75it/s, loss=0.0228]\n",
+      "Epoch 81: 100%|████████████| 6/6 [00:02<00:00,  2.80it/s, loss=0.0228]\n",
+      "Epoch 82: 100%|████████████| 6/6 [00:02<00:00,  2.87it/s, loss=0.0215]\n",
+      "Epoch 83: 100%|████████████| 6/6 [00:02<00:00,  2.86it/s, loss=0.0228]\n",
+      "Epoch 84: 100%|████████████| 6/6 [00:02<00:00,  2.85it/s, loss=0.0247]\n",
+      "Epoch 85: 100%|████████████| 6/6 [00:02<00:00,  2.85it/s, loss=0.0233]\n",
+      "Epoch 86: 100%|█████████████| 6/6 [00:02<00:00,  2.76it/s, loss=0.022]\n",
+      "Epoch 87: 100%|█████████████| 6/6 [00:02<00:00,  2.85it/s, loss=0.023]\n",
+      "Epoch 88: 100%|█████████████| 6/6 [00:02<00:00,  2.85it/s, loss=0.023]\n",
+      "Epoch 89: 100%|████████████| 6/6 [00:02<00:00,  2.88it/s, loss=0.0208]\n",
+      "Epoch 90: 100%|████████████| 6/6 [00:02<00:00,  2.83it/s, loss=0.0216]\n",
+      "Epoch 91: 100%|████████████| 6/6 [00:02<00:00,  2.88it/s, loss=0.0199]\n",
+      "Epoch 92: 100%|████████████| 6/6 [00:02<00:00,  2.82it/s, loss=0.0225]\n",
+      "Epoch 93: 100%|████████████| 6/6 [00:02<00:00,  2.86it/s, loss=0.0231]\n",
+      "Epoch 94: 100%|██████████████| 6/6 [00:02<00:00,  2.84it/s, loss=0.02]\n",
+      "Epoch 95: 100%|████████████| 6/6 [00:02<00:00,  2.86it/s, loss=0.0179]\n",
+      "Epoch 96: 100%|████████████| 6/6 [00:02<00:00,  2.84it/s, loss=0.0226]\n",
+      "Epoch 97: 100%|████████████| 6/6 [00:02<00:00,  2.70it/s, loss=0.0144]\n",
+      "Epoch 98: 100%|████████████| 6/6 [00:02<00:00,  2.86it/s, loss=0.0214]\n",
+      "Epoch 99: 100%|████████████| 6/6 [00:02<00:00,  2.82it/s, loss=0.0137]\n",
+      "100%|█████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 1000/1000 [00:10<00:00, 97.49it/s]\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 200x200 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "Epoch 100: 100%|███████████| 6/6 [00:02<00:00,  2.83it/s, loss=0.0222]\n",
+      "Epoch 101: 100%|███████████| 6/6 [00:02<00:00,  2.81it/s, loss=0.0137]\n",
+      "Epoch 102: 100%|███████████| 6/6 [00:02<00:00,  2.70it/s, loss=0.0217]\n",
+      "Epoch 103: 100%|███████████| 6/6 [00:02<00:00,  2.86it/s, loss=0.0199]\n",
+      "Epoch 104: 100%|███████████| 6/6 [00:02<00:00,  2.86it/s, loss=0.0196]\n",
+      "Epoch 105: 100%|███████████| 6/6 [00:02<00:00,  2.87it/s, loss=0.0167]\n",
+      "Epoch 106: 100%|███████████| 6/6 [00:02<00:00,  2.86it/s, loss=0.0198]\n",
+      "Epoch 107: 100%|███████████| 6/6 [00:02<00:00,  2.72it/s, loss=0.0201]\n",
+      "Epoch 108: 100%|███████████| 6/6 [00:02<00:00,  2.88it/s, loss=0.0184]\n",
+      "Epoch 109: 100%|███████████| 6/6 [00:02<00:00,  2.86it/s, loss=0.0214]\n",
+      "Epoch 110: 100%|███████████| 6/6 [00:02<00:00,  2.85it/s, loss=0.0195]\n",
+      "Epoch 111: 100%|███████████| 6/6 [00:02<00:00,  2.82it/s, loss=0.0199]\n",
+      "Epoch 112: 100%|███████████| 6/6 [00:02<00:00,  2.71it/s, loss=0.0226]\n",
+      "Epoch 113: 100%|████████████| 6/6 [00:02<00:00,  2.84it/s, loss=0.019]\n",
+      "Epoch 114: 100%|███████████| 6/6 [00:02<00:00,  2.86it/s, loss=0.0189]\n",
+      "Epoch 115: 100%|███████████| 6/6 [00:02<00:00,  2.88it/s, loss=0.0177]\n",
+      "Epoch 116: 100%|███████████| 6/6 [00:02<00:00,  2.86it/s, loss=0.0247]\n",
+      "Epoch 117: 100%|███████████| 6/6 [00:02<00:00,  2.72it/s, loss=0.0226]\n",
+      "Epoch 118: 100%|███████████| 6/6 [00:02<00:00,  2.86it/s, loss=0.0198]\n",
+      "Epoch 119: 100%|███████████| 6/6 [00:02<00:00,  2.74it/s, loss=0.0207]\n",
+      "Epoch 120: 100%|████████████| 6/6 [00:02<00:00,  2.86it/s, loss=0.017]\n",
+      "Epoch 121: 100%|███████████| 6/6 [00:02<00:00,  2.81it/s, loss=0.0213]\n",
+      "Epoch 122: 100%|███████████| 6/6 [00:02<00:00,  2.75it/s, loss=0.0204]\n",
+      "Epoch 123: 100%|███████████| 6/6 [00:02<00:00,  2.88it/s, loss=0.0241]\n",
+      "Epoch 124: 100%|███████████| 6/6 [00:02<00:00,  2.88it/s, loss=0.0196]\n",
+      "100%|█████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 1000/1000 [00:10<00:00, 93.81it/s]\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 200x200 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "Epoch 125: 100%|███████████| 6/6 [00:02<00:00,  2.87it/s, loss=0.0176]\n",
+      "Epoch 126: 100%|█████████████| 6/6 [00:02<00:00,  2.88it/s, loss=0.02]\n",
+      "Epoch 127: 100%|███████████| 6/6 [00:02<00:00,  2.88it/s, loss=0.0245]\n",
+      "Epoch 128: 100%|███████████| 6/6 [00:02<00:00,  2.76it/s, loss=0.0188]\n",
+      "Epoch 129: 100%|███████████| 6/6 [00:02<00:00,  2.87it/s, loss=0.0174]\n",
+      "Epoch 130: 100%|███████████| 6/6 [00:02<00:00,  2.87it/s, loss=0.0164]\n",
+      "Epoch 131: 100%|████████████| 6/6 [00:02<00:00,  2.86it/s, loss=0.023]\n",
+      "Epoch 132: 100%|███████████| 6/6 [00:02<00:00,  2.84it/s, loss=0.0174]\n",
+      "Epoch 133: 100%|███████████| 6/6 [00:02<00:00,  2.76it/s, loss=0.0172]\n",
+      "Epoch 134: 100%|███████████| 6/6 [00:02<00:00,  2.86it/s, loss=0.0192]\n",
+      "Epoch 135: 100%|███████████| 6/6 [00:02<00:00,  2.83it/s, loss=0.0179]\n",
+      "Epoch 136: 100%|███████████| 6/6 [00:02<00:00,  2.82it/s, loss=0.0199]\n",
+      "Epoch 137: 100%|████████████| 6/6 [00:02<00:00,  2.86it/s, loss=0.022]\n",
+      "Epoch 138: 100%|███████████| 6/6 [00:02<00:00,  2.76it/s, loss=0.0204]\n",
+      "Epoch 139: 100%|███████████| 6/6 [00:02<00:00,  2.85it/s, loss=0.0192]\n",
+      "Epoch 140: 100%|███████████| 6/6 [00:02<00:00,  2.88it/s, loss=0.0184]\n",
+      "Epoch 141: 100%|███████████| 6/6 [00:02<00:00,  2.87it/s, loss=0.0175]\n",
+      "Epoch 142: 100%|███████████| 6/6 [00:02<00:00,  2.80it/s, loss=0.0198]\n",
+      "Epoch 143: 100%|███████████| 6/6 [00:02<00:00,  2.73it/s, loss=0.0166]\n",
+      "Epoch 144: 100%|███████████| 6/6 [00:02<00:00,  2.86it/s, loss=0.0237]\n",
+      "Epoch 145: 100%|███████████| 6/6 [00:02<00:00,  2.85it/s, loss=0.0195]\n",
+      "Epoch 146: 100%|███████████| 6/6 [00:02<00:00,  2.86it/s, loss=0.0171]\n",
+      "Epoch 147: 100%|███████████| 6/6 [00:02<00:00,  2.87it/s, loss=0.0187]\n",
+      "Epoch 148: 100%|███████████| 6/6 [00:02<00:00,  2.87it/s, loss=0.0161]\n",
+      "Epoch 149: 100%|████████████| 6/6 [00:02<00:00,  2.75it/s, loss=0.022]\n",
+      "100%|█████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 1000/1000 [00:10<00:00, 95.07it/s]\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 200x200 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "train completed, total time: 382.71776270866394.\n"
+     ]
+    }
+   ],
    "source": [
     "n_epochs = 150\n",
     "val_interval = 25\n",
@@ -469,7 +806,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 10,
    "id": "06181aa6-1c4b-415d-9973-df6f44693935",
    "metadata": {
     "lines_to_next_cell": 2
@@ -508,7 +845,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 13,
+   "execution_count": 11,
    "id": "78053aaf-2009-405b-904e-0e5d301018eb",
    "metadata": {
     "tags": []
@@ -518,37 +855,37 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "Epoch 0: 100%|█████████████| 6/6 [00:02<00:00,  2.42it/s, loss=0.0229]\n",
-      "Epoch 1: 100%|█████████████| 6/6 [00:02<00:00,  2.42it/s, loss=0.0182]\n",
-      "Epoch 2: 100%|█████████████| 6/6 [00:02<00:00,  2.32it/s, loss=0.0206]\n",
-      "Epoch 3: 100%|█████████████| 6/6 [00:02<00:00,  2.37it/s, loss=0.0223]\n",
-      "Epoch 4: 100%|█████████████| 6/6 [00:02<00:00,  2.34it/s, loss=0.0193]\n",
-      "Epoch 5: 100%|█████████████| 6/6 [00:02<00:00,  2.29it/s, loss=0.0216]\n",
-      "Epoch 6: 100%|██████████████| 6/6 [00:02<00:00,  2.22it/s, loss=0.019]\n",
-      "Epoch 7: 100%|█████████████| 6/6 [00:02<00:00,  2.26it/s, loss=0.0179]\n",
-      "Epoch 8: 100%|█████████████| 6/6 [00:02<00:00,  2.28it/s, loss=0.0188]\n",
-      "Epoch 9: 100%|█████████████| 6/6 [00:02<00:00,  2.20it/s, loss=0.0219]\n",
-      "Epoch 10: 100%|████████████| 6/6 [00:02<00:00,  2.29it/s, loss=0.0185]\n",
-      "Epoch 11: 100%|████████████| 6/6 [00:02<00:00,  2.32it/s, loss=0.0202]\n",
-      "Epoch 12: 100%|█████████████| 6/6 [00:03<00:00,  1.62it/s, loss=0.021]\n",
-      "Epoch 13: 100%|████████████| 6/6 [00:02<00:00,  2.15it/s, loss=0.0239]\n",
-      "Epoch 14: 100%|████████████| 6/6 [00:02<00:00,  2.23it/s, loss=0.0182]\n",
-      "Epoch 15: 100%|████████████| 6/6 [00:02<00:00,  2.24it/s, loss=0.0192]\n",
-      "Epoch 16: 100%|████████████| 6/6 [00:02<00:00,  2.19it/s, loss=0.0192]\n",
-      "Epoch 17: 100%|████████████| 6/6 [00:02<00:00,  2.29it/s, loss=0.0223]\n",
-      "Epoch 18: 100%|████████████| 6/6 [00:02<00:00,  2.16it/s, loss=0.0224]\n",
-      "Epoch 19: 100%|████████████| 6/6 [00:02<00:00,  2.13it/s, loss=0.0215]\n",
-      "Epoch 20: 100%|████████████| 6/6 [00:02<00:00,  2.24it/s, loss=0.0186]\n",
-      "Epoch 21: 100%|████████████| 6/6 [00:02<00:00,  2.19it/s, loss=0.0191]\n",
-      "Epoch 22: 100%|████████████| 6/6 [00:02<00:00,  2.16it/s, loss=0.0159]\n",
-      "Epoch 23: 100%|████████████| 6/6 [00:02<00:00,  2.15it/s, loss=0.0179]\n",
-      "Epoch 24: 100%|█████████████| 6/6 [00:02<00:00,  2.23it/s, loss=0.018]\n",
-      "sampling...: 100%|████████████████████████████████████████████████████████| 1000/1000 [00:31<00:00, 31.75it/s]\n"
+      "Epoch 0: 100%|█████████████| 6/6 [00:02<00:00,  2.84it/s, loss=0.0229]\n",
+      "Epoch 1: 100%|█████████████| 6/6 [00:02<00:00,  2.77it/s, loss=0.0182]\n",
+      "Epoch 2: 100%|█████████████| 6/6 [00:02<00:00,  2.81it/s, loss=0.0206]\n",
+      "Epoch 3: 100%|█████████████| 6/6 [00:02<00:00,  2.87it/s, loss=0.0223]\n",
+      "Epoch 4: 100%|█████████████| 6/6 [00:02<00:00,  2.75it/s, loss=0.0193]\n",
+      "Epoch 5: 100%|█████████████| 6/6 [00:02<00:00,  2.84it/s, loss=0.0216]\n",
+      "Epoch 6: 100%|██████████████| 6/6 [00:02<00:00,  2.86it/s, loss=0.019]\n",
+      "Epoch 7: 100%|█████████████| 6/6 [00:02<00:00,  2.90it/s, loss=0.0179]\n",
+      "Epoch 8: 100%|█████████████| 6/6 [00:02<00:00,  2.79it/s, loss=0.0188]\n",
+      "Epoch 9: 100%|█████████████| 6/6 [00:02<00:00,  2.74it/s, loss=0.0219]\n",
+      "Epoch 10: 100%|████████████| 6/6 [00:02<00:00,  2.81it/s, loss=0.0185]\n",
+      "Epoch 11: 100%|████████████| 6/6 [00:02<00:00,  2.86it/s, loss=0.0202]\n",
+      "Epoch 12: 100%|████████████| 6/6 [00:02<00:00,  2.85it/s, loss=0.0209]\n",
+      "Epoch 13: 100%|████████████| 6/6 [00:02<00:00,  2.91it/s, loss=0.0239]\n",
+      "Epoch 14: 100%|████████████| 6/6 [00:02<00:00,  2.84it/s, loss=0.0181]\n",
+      "Epoch 15: 100%|████████████| 6/6 [00:02<00:00,  2.77it/s, loss=0.0191]\n",
+      "Epoch 16: 100%|████████████| 6/6 [00:02<00:00,  2.84it/s, loss=0.0191]\n",
+      "Epoch 17: 100%|████████████| 6/6 [00:02<00:00,  2.73it/s, loss=0.0222]\n",
+      "Epoch 18: 100%|████████████| 6/6 [00:02<00:00,  2.76it/s, loss=0.0223]\n",
+      "Epoch 19: 100%|████████████| 6/6 [00:02<00:00,  2.86it/s, loss=0.0214]\n",
+      "Epoch 20: 100%|████████████| 6/6 [00:02<00:00,  2.71it/s, loss=0.0185]\n",
+      "Epoch 21: 100%|█████████████| 6/6 [00:02<00:00,  2.84it/s, loss=0.019]\n",
+      "Epoch 22: 100%|████████████| 6/6 [00:02<00:00,  2.87it/s, loss=0.0158]\n",
+      "Epoch 23: 100%|████████████| 6/6 [00:02<00:00,  2.88it/s, loss=0.0178]\n",
+      "Epoch 24: 100%|█████████████| 6/6 [00:02<00:00,  2.84it/s, loss=0.018]\n",
+      "100%|█████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 1000/1000 [00:29<00:00, 33.50it/s]\n"
      ]
     },
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\n",
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\n",
       "text/plain": [
        "<Figure size 400x200 with 2 Axes>"
       ]
@@ -560,37 +897,37 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "Epoch 25: 100%|████████████| 6/6 [00:02<00:00,  2.47it/s, loss=0.0192]\n",
-      "Epoch 26: 100%|████████████| 6/6 [00:02<00:00,  2.44it/s, loss=0.0151]\n",
-      "Epoch 27: 100%|████████████| 6/6 [00:02<00:00,  2.50it/s, loss=0.0205]\n",
-      "Epoch 28: 100%|████████████| 6/6 [00:02<00:00,  2.42it/s, loss=0.0161]\n",
-      "Epoch 29: 100%|████████████| 6/6 [00:02<00:00,  2.45it/s, loss=0.0193]\n",
-      "Epoch 30: 100%|████████████| 6/6 [00:02<00:00,  2.41it/s, loss=0.0176]\n",
-      "Epoch 31: 100%|████████████| 6/6 [00:02<00:00,  2.41it/s, loss=0.0202]\n",
-      "Epoch 32: 100%|████████████| 6/6 [00:02<00:00,  2.38it/s, loss=0.0161]\n",
-      "Epoch 33: 100%|████████████| 6/6 [00:02<00:00,  2.37it/s, loss=0.0186]\n",
-      "Epoch 34: 100%|████████████| 6/6 [00:02<00:00,  2.30it/s, loss=0.0204]\n",
-      "Epoch 35: 100%|████████████| 6/6 [00:02<00:00,  2.35it/s, loss=0.0161]\n",
-      "Epoch 36: 100%|████████████| 6/6 [00:02<00:00,  2.21it/s, loss=0.0129]\n",
-      "Epoch 37: 100%|████████████| 6/6 [00:02<00:00,  2.18it/s, loss=0.0174]\n",
-      "Epoch 38: 100%|████████████| 6/6 [00:02<00:00,  2.25it/s, loss=0.0201]\n",
-      "Epoch 39: 100%|██████████████| 6/6 [00:02<00:00,  2.24it/s, loss=0.02]\n",
-      "Epoch 40: 100%|████████████| 6/6 [00:02<00:00,  2.10it/s, loss=0.0183]\n",
-      "Epoch 41: 100%|████████████| 6/6 [00:02<00:00,  2.20it/s, loss=0.0199]\n",
-      "Epoch 42: 100%|████████████| 6/6 [00:02<00:00,  2.18it/s, loss=0.0228]\n",
-      "Epoch 43: 100%|████████████| 6/6 [00:02<00:00,  2.18it/s, loss=0.0151]\n",
-      "Epoch 44: 100%|████████████| 6/6 [00:02<00:00,  2.23it/s, loss=0.0135]\n",
-      "Epoch 45: 100%|█████████████| 6/6 [00:02<00:00,  2.23it/s, loss=0.016]\n",
-      "Epoch 46: 100%|████████████| 6/6 [00:02<00:00,  2.28it/s, loss=0.0205]\n",
-      "Epoch 47: 100%|████████████| 6/6 [00:02<00:00,  2.05it/s, loss=0.0194]\n",
-      "Epoch 48: 100%|████████████| 6/6 [00:02<00:00,  2.16it/s, loss=0.0188]\n",
-      "Epoch 49: 100%|████████████| 6/6 [00:02<00:00,  2.28it/s, loss=0.0194]\n",
-      "sampling...: 100%|████████████████████████████████████████████████████████| 1000/1000 [00:32<00:00, 30.98it/s]\n"
+      "Epoch 25: 100%|████████████| 6/6 [00:02<00:00,  2.79it/s, loss=0.0191]\n",
+      "Epoch 26: 100%|█████████████| 6/6 [00:02<00:00,  2.62it/s, loss=0.015]\n",
+      "Epoch 27: 100%|████████████| 6/6 [00:02<00:00,  2.87it/s, loss=0.0205]\n",
+      "Epoch 28: 100%|████████████| 6/6 [00:02<00:00,  2.86it/s, loss=0.0161]\n",
+      "Epoch 29: 100%|████████████| 6/6 [00:02<00:00,  2.89it/s, loss=0.0192]\n",
+      "Epoch 30: 100%|████████████| 6/6 [00:02<00:00,  2.78it/s, loss=0.0176]\n",
+      "Epoch 31: 100%|████████████| 6/6 [00:02<00:00,  2.76it/s, loss=0.0202]\n",
+      "Epoch 32: 100%|████████████| 6/6 [00:02<00:00,  2.78it/s, loss=0.0161]\n",
+      "Epoch 33: 100%|████████████| 6/6 [00:02<00:00,  2.79it/s, loss=0.0186]\n",
+      "Epoch 34: 100%|████████████| 6/6 [00:02<00:00,  2.84it/s, loss=0.0204]\n",
+      "Epoch 35: 100%|████████████| 6/6 [00:02<00:00,  2.87it/s, loss=0.0161]\n",
+      "Epoch 36: 100%|████████████| 6/6 [00:02<00:00,  2.84it/s, loss=0.0129]\n",
+      "Epoch 37: 100%|████████████| 6/6 [00:02<00:00,  2.79it/s, loss=0.0174]\n",
+      "Epoch 38: 100%|████████████| 6/6 [00:02<00:00,  2.79it/s, loss=0.0201]\n",
+      "Epoch 39: 100%|████████████| 6/6 [00:02<00:00,  2.81it/s, loss=0.0199]\n",
+      "Epoch 40: 100%|████████████| 6/6 [00:02<00:00,  2.84it/s, loss=0.0183]\n",
+      "Epoch 41: 100%|████████████| 6/6 [00:02<00:00,  2.71it/s, loss=0.0199]\n",
+      "Epoch 42: 100%|████████████| 6/6 [00:02<00:00,  2.85it/s, loss=0.0228]\n",
+      "Epoch 43: 100%|█████████████| 6/6 [00:02<00:00,  2.84it/s, loss=0.015]\n",
+      "Epoch 44: 100%|████████████| 6/6 [00:02<00:00,  2.85it/s, loss=0.0135]\n",
+      "Epoch 45: 100%|█████████████| 6/6 [00:02<00:00,  2.87it/s, loss=0.016]\n",
+      "Epoch 46: 100%|████████████| 6/6 [00:02<00:00,  2.87it/s, loss=0.0205]\n",
+      "Epoch 47: 100%|████████████| 6/6 [00:02<00:00,  2.79it/s, loss=0.0194]\n",
+      "Epoch 48: 100%|████████████| 6/6 [00:02<00:00,  2.85it/s, loss=0.0188]\n",
+      "Epoch 49: 100%|████████████| 6/6 [00:02<00:00,  2.78it/s, loss=0.0193]\n",
+      "100%|█████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 1000/1000 [00:29<00:00, 34.11it/s]\n"
      ]
     },
     {
      "data": {
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\n",
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\n",
       "text/plain": [
        "<Figure size 400x200 with 2 Axes>"
       ]
@@ -602,37 +939,37 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "Epoch 50: 100%|████████████| 6/6 [00:02<00:00,  2.51it/s, loss=0.0175]\n",
-      "Epoch 51: 100%|█████████████| 6/6 [00:02<00:00,  2.47it/s, loss=0.019]\n",
-      "Epoch 52: 100%|████████████| 6/6 [00:02<00:00,  2.37it/s, loss=0.0191]\n",
-      "Epoch 53: 100%|████████████| 6/6 [00:02<00:00,  2.46it/s, loss=0.0197]\n",
-      "Epoch 54: 100%|████████████| 6/6 [00:02<00:00,  2.41it/s, loss=0.0194]\n",
-      "Epoch 55: 100%|████████████| 6/6 [00:02<00:00,  2.42it/s, loss=0.0202]\n",
-      "Epoch 56: 100%|████████████| 6/6 [00:02<00:00,  2.38it/s, loss=0.0144]\n",
-      "Epoch 57: 100%|████████████| 6/6 [00:02<00:00,  2.30it/s, loss=0.0186]\n",
-      "Epoch 58: 100%|████████████| 6/6 [00:02<00:00,  2.29it/s, loss=0.0186]\n",
-      "Epoch 59: 100%|████████████| 6/6 [00:02<00:00,  2.33it/s, loss=0.0154]\n",
-      "Epoch 60: 100%|████████████| 6/6 [00:02<00:00,  2.32it/s, loss=0.0152]\n",
-      "Epoch 61: 100%|████████████| 6/6 [00:02<00:00,  2.21it/s, loss=0.0178]\n",
-      "Epoch 62: 100%|████████████| 6/6 [00:02<00:00,  2.17it/s, loss=0.0198]\n",
-      "Epoch 63: 100%|████████████| 6/6 [00:02<00:00,  2.17it/s, loss=0.0176]\n",
-      "Epoch 64: 100%|████████████| 6/6 [00:02<00:00,  2.44it/s, loss=0.0169]\n",
-      "Epoch 65: 100%|████████████| 6/6 [00:03<00:00,  1.86it/s, loss=0.0167]\n",
-      "Epoch 66: 100%|█████████████| 6/6 [00:02<00:00,  2.21it/s, loss=0.017]\n",
-      "Epoch 67: 100%|████████████| 6/6 [00:02<00:00,  2.03it/s, loss=0.0191]\n",
-      "Epoch 68: 100%|████████████| 6/6 [00:02<00:00,  2.11it/s, loss=0.0132]\n",
-      "Epoch 69: 100%|█████████████| 6/6 [00:02<00:00,  2.32it/s, loss=0.017]\n",
-      "Epoch 70: 100%|████████████| 6/6 [00:02<00:00,  2.24it/s, loss=0.0207]\n",
-      "Epoch 71: 100%|████████████| 6/6 [00:02<00:00,  2.25it/s, loss=0.0195]\n",
-      "Epoch 72: 100%|████████████| 6/6 [00:02<00:00,  2.11it/s, loss=0.0189]\n",
-      "Epoch 73: 100%|████████████| 6/6 [00:02<00:00,  2.06it/s, loss=0.0144]\n",
-      "Epoch 74: 100%|████████████| 6/6 [00:02<00:00,  2.10it/s, loss=0.0199]\n",
-      "sampling...: 100%|████████████████████████████████████████████████████████| 1000/1000 [00:32<00:00, 30.69it/s]\n"
+      "Epoch 50: 100%|████████████| 6/6 [00:02<00:00,  2.81it/s, loss=0.0175]\n",
+      "Epoch 51: 100%|█████████████| 6/6 [00:02<00:00,  2.78it/s, loss=0.019]\n",
+      "Epoch 52: 100%|████████████| 6/6 [00:02<00:00,  2.69it/s, loss=0.0191]\n",
+      "Epoch 53: 100%|████████████| 6/6 [00:02<00:00,  2.85it/s, loss=0.0197]\n",
+      "Epoch 54: 100%|████████████| 6/6 [00:02<00:00,  2.81it/s, loss=0.0194]\n",
+      "Epoch 55: 100%|████████████| 6/6 [00:02<00:00,  2.82it/s, loss=0.0202]\n",
+      "Epoch 56: 100%|████████████| 6/6 [00:02<00:00,  2.75it/s, loss=0.0144]\n",
+      "Epoch 57: 100%|████████████| 6/6 [00:02<00:00,  2.73it/s, loss=0.0186]\n",
+      "Epoch 58: 100%|████████████| 6/6 [00:02<00:00,  2.64it/s, loss=0.0186]\n",
+      "Epoch 59: 100%|████████████| 6/6 [00:02<00:00,  2.74it/s, loss=0.0154]\n",
+      "Epoch 60: 100%|████████████| 6/6 [00:02<00:00,  2.86it/s, loss=0.0152]\n",
+      "Epoch 61: 100%|████████████| 6/6 [00:02<00:00,  2.90it/s, loss=0.0179]\n",
+      "Epoch 62: 100%|████████████| 6/6 [00:02<00:00,  2.90it/s, loss=0.0198]\n",
+      "Epoch 63: 100%|████████████| 6/6 [00:02<00:00,  2.89it/s, loss=0.0176]\n",
+      "Epoch 64: 100%|████████████| 6/6 [00:02<00:00,  2.80it/s, loss=0.0169]\n",
+      "Epoch 65: 100%|████████████| 6/6 [00:02<00:00,  2.90it/s, loss=0.0167]\n",
+      "Epoch 66: 100%|█████████████| 6/6 [00:02<00:00,  2.87it/s, loss=0.017]\n",
+      "Epoch 67: 100%|████████████| 6/6 [00:02<00:00,  2.89it/s, loss=0.0191]\n",
+      "Epoch 68: 100%|████████████| 6/6 [00:02<00:00,  2.74it/s, loss=0.0133]\n",
+      "Epoch 69: 100%|█████████████| 6/6 [00:02<00:00,  2.89it/s, loss=0.017]\n",
+      "Epoch 70: 100%|████████████| 6/6 [00:02<00:00,  2.85it/s, loss=0.0207]\n",
+      "Epoch 71: 100%|████████████| 6/6 [00:02<00:00,  2.83it/s, loss=0.0194]\n",
+      "Epoch 72: 100%|████████████| 6/6 [00:02<00:00,  2.89it/s, loss=0.0189]\n",
+      "Epoch 73: 100%|████████████| 6/6 [00:02<00:00,  2.88it/s, loss=0.0144]\n",
+      "Epoch 74: 100%|████████████| 6/6 [00:02<00:00,  2.78it/s, loss=0.0199]\n",
+      "100%|█████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 1000/1000 [00:28<00:00, 35.12it/s]\n"
      ]
     },
     {
      "data": {
-      "image/png": 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\n",
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\n",
       "text/plain": [
        "<Figure size 400x200 with 2 Axes>"
       ]
@@ -644,37 +981,37 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "Epoch 75: 100%|████████████| 6/6 [00:02<00:00,  2.49it/s, loss=0.0199]\n",
-      "Epoch 76: 100%|████████████| 6/6 [00:02<00:00,  2.49it/s, loss=0.0174]\n",
-      "Epoch 77: 100%|████████████| 6/6 [00:02<00:00,  2.45it/s, loss=0.0218]\n",
-      "Epoch 78: 100%|████████████| 6/6 [00:02<00:00,  2.49it/s, loss=0.0138]\n",
-      "Epoch 79: 100%|████████████| 6/6 [00:02<00:00,  2.36it/s, loss=0.0186]\n",
-      "Epoch 80: 100%|████████████| 6/6 [00:02<00:00,  2.33it/s, loss=0.0192]\n",
-      "Epoch 81: 100%|████████████| 6/6 [00:02<00:00,  2.33it/s, loss=0.0174]\n",
-      "Epoch 82: 100%|████████████| 6/6 [00:02<00:00,  2.24it/s, loss=0.0228]\n",
-      "Epoch 83: 100%|████████████| 6/6 [00:02<00:00,  2.31it/s, loss=0.0183]\n",
-      "Epoch 84: 100%|████████████| 6/6 [00:02<00:00,  2.21it/s, loss=0.0201]\n",
-      "Epoch 85: 100%|████████████| 6/6 [00:02<00:00,  2.27it/s, loss=0.0141]\n",
-      "Epoch 86: 100%|████████████| 6/6 [00:02<00:00,  2.18it/s, loss=0.0181]\n",
-      "Epoch 87: 100%|████████████| 6/6 [00:02<00:00,  2.26it/s, loss=0.0211]\n",
-      "Epoch 88: 100%|████████████| 6/6 [00:02<00:00,  2.24it/s, loss=0.0178]\n",
-      "Epoch 89: 100%|████████████| 6/6 [00:02<00:00,  2.18it/s, loss=0.0167]\n",
-      "Epoch 90: 100%|████████████| 6/6 [00:02<00:00,  2.30it/s, loss=0.0213]\n",
-      "Epoch 91: 100%|████████████| 6/6 [00:02<00:00,  2.19it/s, loss=0.0114]\n",
-      "Epoch 92: 100%|████████████| 6/6 [00:02<00:00,  2.14it/s, loss=0.0137]\n",
-      "Epoch 93: 100%|████████████| 6/6 [00:02<00:00,  2.15it/s, loss=0.0128]\n",
-      "Epoch 94: 100%|████████████| 6/6 [00:03<00:00,  1.86it/s, loss=0.0183]\n",
-      "Epoch 95: 100%|████████████| 6/6 [00:02<00:00,  2.16it/s, loss=0.0125]\n",
-      "Epoch 96: 100%|████████████| 6/6 [00:02<00:00,  2.26it/s, loss=0.0176]\n",
-      "Epoch 97: 100%|████████████| 6/6 [00:02<00:00,  2.25it/s, loss=0.0193]\n",
-      "Epoch 98: 100%|████████████| 6/6 [00:02<00:00,  2.10it/s, loss=0.0198]\n",
-      "Epoch 99: 100%|████████████| 6/6 [00:03<00:00,  1.90it/s, loss=0.0183]\n",
-      "sampling...: 100%|████████████████████████████████████████████████████████| 1000/1000 [00:32<00:00, 31.08it/s]\n"
+      "Epoch 75: 100%|████████████| 6/6 [00:02<00:00,  2.86it/s, loss=0.0199]\n",
+      "Epoch 76: 100%|████████████| 6/6 [00:02<00:00,  2.77it/s, loss=0.0174]\n",
+      "Epoch 77: 100%|████████████| 6/6 [00:02<00:00,  2.79it/s, loss=0.0218]\n",
+      "Epoch 78: 100%|████████████| 6/6 [00:02<00:00,  2.81it/s, loss=0.0138]\n",
+      "Epoch 79: 100%|████████████| 6/6 [00:02<00:00,  2.84it/s, loss=0.0186]\n",
+      "Epoch 80: 100%|████████████| 6/6 [00:02<00:00,  2.81it/s, loss=0.0192]\n",
+      "Epoch 81: 100%|████████████| 6/6 [00:02<00:00,  2.74it/s, loss=0.0174]\n",
+      "Epoch 82: 100%|████████████| 6/6 [00:02<00:00,  2.77it/s, loss=0.0228]\n",
+      "Epoch 83: 100%|████████████| 6/6 [00:02<00:00,  2.79it/s, loss=0.0182]\n",
+      "Epoch 84: 100%|████████████| 6/6 [00:02<00:00,  2.78it/s, loss=0.0201]\n",
+      "Epoch 85: 100%|████████████| 6/6 [00:02<00:00,  2.82it/s, loss=0.0141]\n",
+      "Epoch 86: 100%|████████████| 6/6 [00:02<00:00,  2.79it/s, loss=0.0181]\n",
+      "Epoch 87: 100%|████████████| 6/6 [00:02<00:00,  2.79it/s, loss=0.0211]\n",
+      "Epoch 88: 100%|████████████| 6/6 [00:02<00:00,  2.85it/s, loss=0.0178]\n",
+      "Epoch 89: 100%|████████████| 6/6 [00:02<00:00,  2.81it/s, loss=0.0168]\n",
+      "Epoch 90: 100%|████████████| 6/6 [00:02<00:00,  2.82it/s, loss=0.0213]\n",
+      "Epoch 91: 100%|████████████| 6/6 [00:02<00:00,  2.73it/s, loss=0.0115]\n",
+      "Epoch 92: 100%|████████████| 6/6 [00:02<00:00,  2.79it/s, loss=0.0137]\n",
+      "Epoch 93: 100%|████████████| 6/6 [00:02<00:00,  2.72it/s, loss=0.0127]\n",
+      "Epoch 94: 100%|████████████| 6/6 [00:02<00:00,  2.84it/s, loss=0.0183]\n",
+      "Epoch 95: 100%|████████████| 6/6 [00:02<00:00,  2.79it/s, loss=0.0125]\n",
+      "Epoch 96: 100%|████████████| 6/6 [00:02<00:00,  2.63it/s, loss=0.0176]\n",
+      "Epoch 97: 100%|████████████| 6/6 [00:02<00:00,  2.88it/s, loss=0.0193]\n",
+      "Epoch 98: 100%|████████████| 6/6 [00:02<00:00,  2.88it/s, loss=0.0198]\n",
+      "Epoch 99: 100%|████████████| 6/6 [00:02<00:00,  2.83it/s, loss=0.0183]\n",
+      "100%|█████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 1000/1000 [00:30<00:00, 33.18it/s]\n"
      ]
     },
     {
      "data": {
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\n",
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\n",
       "text/plain": [
        "<Figure size 400x200 with 2 Axes>"
       ]
@@ -686,37 +1023,37 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "Epoch 100: 100%|███████████| 6/6 [00:02<00:00,  2.50it/s, loss=0.0171]\n",
-      "Epoch 101: 100%|███████████| 6/6 [00:02<00:00,  2.40it/s, loss=0.0172]\n",
-      "Epoch 102: 100%|███████████| 6/6 [00:02<00:00,  2.44it/s, loss=0.0167]\n",
-      "Epoch 103: 100%|███████████| 6/6 [00:02<00:00,  2.46it/s, loss=0.0167]\n",
-      "Epoch 104: 100%|███████████| 6/6 [00:02<00:00,  2.46it/s, loss=0.0146]\n",
-      "Epoch 105: 100%|███████████| 6/6 [00:02<00:00,  2.49it/s, loss=0.0157]\n",
-      "Epoch 106: 100%|███████████| 6/6 [00:02<00:00,  2.28it/s, loss=0.0152]\n",
-      "Epoch 107: 100%|███████████| 6/6 [00:02<00:00,  2.26it/s, loss=0.0166]\n",
-      "Epoch 108: 100%|███████████| 6/6 [00:02<00:00,  2.26it/s, loss=0.0155]\n",
-      "Epoch 109: 100%|███████████| 6/6 [00:02<00:00,  2.26it/s, loss=0.0154]\n",
-      "Epoch 110: 100%|███████████| 6/6 [00:02<00:00,  2.26it/s, loss=0.0185]\n",
-      "Epoch 111: 100%|███████████| 6/6 [00:02<00:00,  2.21it/s, loss=0.0159]\n",
-      "Epoch 112: 100%|███████████| 6/6 [00:02<00:00,  2.25it/s, loss=0.0143]\n",
-      "Epoch 113: 100%|████████████| 6/6 [00:02<00:00,  2.30it/s, loss=0.015]\n",
-      "Epoch 114: 100%|███████████| 6/6 [00:02<00:00,  2.19it/s, loss=0.0215]\n",
-      "Epoch 115: 100%|███████████| 6/6 [00:02<00:00,  2.02it/s, loss=0.0169]\n",
-      "Epoch 116: 100%|███████████| 6/6 [00:02<00:00,  2.05it/s, loss=0.0141]\n",
-      "Epoch 117: 100%|███████████| 6/6 [00:02<00:00,  2.16it/s, loss=0.0189]\n",
-      "Epoch 118: 100%|███████████| 6/6 [00:02<00:00,  2.18it/s, loss=0.0162]\n",
-      "Epoch 119: 100%|███████████| 6/6 [00:02<00:00,  2.09it/s, loss=0.0159]\n",
-      "Epoch 120: 100%|████████████| 6/6 [00:02<00:00,  2.10it/s, loss=0.015]\n",
-      "Epoch 121: 100%|███████████| 6/6 [00:02<00:00,  2.08it/s, loss=0.0177]\n",
-      "Epoch 122: 100%|███████████| 6/6 [00:02<00:00,  2.27it/s, loss=0.0164]\n",
-      "Epoch 123: 100%|████████████| 6/6 [00:02<00:00,  2.02it/s, loss=0.017]\n",
-      "Epoch 124: 100%|███████████| 6/6 [00:02<00:00,  2.10it/s, loss=0.0195]\n",
-      "sampling...: 100%|████████████████████████████████████████████████████████| 1000/1000 [00:32<00:00, 30.41it/s]\n"
+      "Epoch 100: 100%|███████████| 6/6 [00:02<00:00,  2.81it/s, loss=0.0171]\n",
+      "Epoch 101: 100%|███████████| 6/6 [00:02<00:00,  2.68it/s, loss=0.0172]\n",
+      "Epoch 102: 100%|███████████| 6/6 [00:02<00:00,  2.84it/s, loss=0.0167]\n",
+      "Epoch 103: 100%|███████████| 6/6 [00:02<00:00,  2.86it/s, loss=0.0167]\n",
+      "Epoch 104: 100%|███████████| 6/6 [00:02<00:00,  2.84it/s, loss=0.0146]\n",
+      "Epoch 105: 100%|███████████| 6/6 [00:02<00:00,  2.86it/s, loss=0.0156]\n",
+      "Epoch 106: 100%|███████████| 6/6 [00:02<00:00,  2.79it/s, loss=0.0152]\n",
+      "Epoch 107: 100%|███████████| 6/6 [00:02<00:00,  2.84it/s, loss=0.0166]\n",
+      "Epoch 108: 100%|███████████| 6/6 [00:02<00:00,  2.72it/s, loss=0.0155]\n",
+      "Epoch 109: 100%|███████████| 6/6 [00:02<00:00,  2.84it/s, loss=0.0154]\n",
+      "Epoch 110: 100%|███████████| 6/6 [00:02<00:00,  2.83it/s, loss=0.0186]\n",
+      "Epoch 111: 100%|███████████| 6/6 [00:02<00:00,  2.83it/s, loss=0.0159]\n",
+      "Epoch 112: 100%|███████████| 6/6 [00:02<00:00,  2.86it/s, loss=0.0143]\n",
+      "Epoch 113: 100%|████████████| 6/6 [00:02<00:00,  2.78it/s, loss=0.015]\n",
+      "Epoch 114: 100%|███████████| 6/6 [00:02<00:00,  2.82it/s, loss=0.0215]\n",
+      "Epoch 115: 100%|███████████| 6/6 [00:02<00:00,  2.84it/s, loss=0.0169]\n",
+      "Epoch 116: 100%|████████████| 6/6 [00:02<00:00,  2.84it/s, loss=0.014]\n",
+      "Epoch 117: 100%|███████████| 6/6 [00:02<00:00,  2.78it/s, loss=0.0189]\n",
+      "Epoch 118: 100%|███████████| 6/6 [00:02<00:00,  2.83it/s, loss=0.0162]\n",
+      "Epoch 119: 100%|███████████| 6/6 [00:02<00:00,  2.84it/s, loss=0.0159]\n",
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+      "Epoch 121: 100%|███████████| 6/6 [00:02<00:00,  2.84it/s, loss=0.0177]\n",
+      "Epoch 122: 100%|███████████| 6/6 [00:02<00:00,  2.73it/s, loss=0.0164]\n",
+      "Epoch 123: 100%|████████████| 6/6 [00:02<00:00,  2.83it/s, loss=0.017]\n",
+      "Epoch 124: 100%|███████████| 6/6 [00:02<00:00,  2.85it/s, loss=0.0195]\n",
+      "100%|█████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 1000/1000 [00:28<00:00, 35.10it/s]\n"
      ]
     },
     {
      "data": {
-      "image/png": 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\n",
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\n",
       "text/plain": [
        "<Figure size 400x200 with 2 Axes>"
       ]
@@ -728,37 +1065,37 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "Epoch 125: 100%|███████████| 6/6 [00:02<00:00,  2.48it/s, loss=0.0163]\n",
-      "Epoch 126: 100%|█████████████| 6/6 [00:02<00:00,  2.45it/s, loss=0.02]\n",
-      "Epoch 127: 100%|███████████| 6/6 [00:02<00:00,  2.36it/s, loss=0.0159]\n",
-      "Epoch 128: 100%|███████████| 6/6 [00:02<00:00,  2.41it/s, loss=0.0201]\n",
-      "Epoch 129: 100%|███████████| 6/6 [00:02<00:00,  2.40it/s, loss=0.0148]\n",
-      "Epoch 130: 100%|███████████| 6/6 [00:02<00:00,  2.36it/s, loss=0.0153]\n",
-      "Epoch 131: 100%|███████████| 6/6 [00:02<00:00,  2.37it/s, loss=0.0175]\n",
-      "Epoch 132: 100%|███████████| 6/6 [00:02<00:00,  2.38it/s, loss=0.0178]\n",
-      "Epoch 133: 100%|████████████| 6/6 [00:02<00:00,  2.23it/s, loss=0.018]\n",
-      "Epoch 134: 100%|███████████| 6/6 [00:02<00:00,  2.29it/s, loss=0.0179]\n",
-      "Epoch 135: 100%|███████████| 6/6 [00:02<00:00,  2.22it/s, loss=0.0153]\n",
-      "Epoch 136: 100%|███████████| 6/6 [00:02<00:00,  2.24it/s, loss=0.0173]\n",
-      "Epoch 137: 100%|███████████| 6/6 [00:02<00:00,  2.11it/s, loss=0.0164]\n",
-      "Epoch 138: 100%|███████████| 6/6 [00:02<00:00,  2.16it/s, loss=0.0165]\n",
-      "Epoch 139: 100%|███████████| 6/6 [00:03<00:00,  1.97it/s, loss=0.0146]\n",
-      "Epoch 140: 100%|███████████| 6/6 [00:02<00:00,  2.02it/s, loss=0.0188]\n",
-      "Epoch 141: 100%|███████████| 6/6 [00:02<00:00,  2.08it/s, loss=0.0194]\n",
-      "Epoch 142: 100%|███████████| 6/6 [00:02<00:00,  2.26it/s, loss=0.0143]\n",
-      "Epoch 143: 100%|███████████| 6/6 [00:03<00:00,  2.00it/s, loss=0.0154]\n",
-      "Epoch 144: 100%|████████████| 6/6 [00:02<00:00,  2.12it/s, loss=0.012]\n",
-      "Epoch 145: 100%|███████████| 6/6 [00:02<00:00,  2.00it/s, loss=0.0198]\n",
-      "Epoch 146: 100%|███████████| 6/6 [00:02<00:00,  2.16it/s, loss=0.0224]\n",
-      "Epoch 147: 100%|███████████| 6/6 [00:02<00:00,  2.18it/s, loss=0.0152]\n",
-      "Epoch 148: 100%|████████████| 6/6 [00:02<00:00,  2.11it/s, loss=0.018]\n",
-      "Epoch 149: 100%|████████████| 6/6 [00:02<00:00,  2.09it/s, loss=0.018]\n",
-      "sampling...: 100%|████████████████████████████████████████████████████████| 1000/1000 [00:32<00:00, 30.67it/s]\n"
+      "Epoch 125: 100%|███████████| 6/6 [00:02<00:00,  2.83it/s, loss=0.0163]\n",
+      "Epoch 126: 100%|█████████████| 6/6 [00:02<00:00,  2.86it/s, loss=0.02]\n",
+      "Epoch 127: 100%|███████████| 6/6 [00:02<00:00,  2.79it/s, loss=0.0159]\n",
+      "Epoch 128: 100%|███████████| 6/6 [00:02<00:00,  2.80it/s, loss=0.0201]\n",
+      "Epoch 129: 100%|███████████| 6/6 [00:02<00:00,  2.86it/s, loss=0.0148]\n",
+      "Epoch 130: 100%|███████████| 6/6 [00:02<00:00,  2.83it/s, loss=0.0153]\n",
+      "Epoch 131: 100%|███████████| 6/6 [00:02<00:00,  2.73it/s, loss=0.0175]\n",
+      "Epoch 132: 100%|███████████| 6/6 [00:02<00:00,  2.78it/s, loss=0.0178]\n",
+      "Epoch 133: 100%|████████████| 6/6 [00:02<00:00,  2.85it/s, loss=0.018]\n",
+      "Epoch 134: 100%|███████████| 6/6 [00:02<00:00,  2.86it/s, loss=0.0179]\n",
+      "Epoch 135: 100%|███████████| 6/6 [00:02<00:00,  2.85it/s, loss=0.0153]\n",
+      "Epoch 136: 100%|███████████| 6/6 [00:02<00:00,  2.74it/s, loss=0.0173]\n",
+      "Epoch 137: 100%|███████████| 6/6 [00:02<00:00,  2.85it/s, loss=0.0164]\n",
+      "Epoch 138: 100%|███████████| 6/6 [00:02<00:00,  2.80it/s, loss=0.0165]\n",
+      "Epoch 139: 100%|███████████| 6/6 [00:02<00:00,  2.84it/s, loss=0.0146]\n",
+      "Epoch 140: 100%|███████████| 6/6 [00:02<00:00,  2.85it/s, loss=0.0188]\n",
+      "Epoch 141: 100%|███████████| 6/6 [00:02<00:00,  2.74it/s, loss=0.0194]\n",
+      "Epoch 142: 100%|███████████| 6/6 [00:02<00:00,  2.82it/s, loss=0.0143]\n",
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      ]
     },
     {
      "data": {
-      "image/png": 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\n",
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\n",
       "text/plain": [
        "<Figure size 400x200 with 2 Axes>"
       ]
@@ -770,7 +1107,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "train completed, total time: 599.0462603569031.\n"
+      "train completed, total time: 497.90063738822937.\n"
      ]
     }
    ],
@@ -802,7 +1139,9 @@
     "                0, inferer.scheduler.num_train_timesteps, (images.shape[0],), device=images.device\n",
     "            ).long()\n",
     "\n",
-    "            noise_pred = controlnet_inferer(model, controlnet, noise, timesteps,\n",
+    "            noise_pred = controlnet_inferer(inputs = images, diffusion_model = model, \n",
+    "                                            controlnet = controlnet, noise = noise, \n",
+    "                                            timesteps = timesteps,\n",
     "                                           cn_cond = masks, )\n",
     "\n",
     "            loss = F.mse_loss(noise_pred.float(), noise.float())\n",
@@ -829,21 +1168,23 @@
     "                    timesteps = torch.randint(\n",
     "                        0, controlnet_inferer.scheduler.num_train_timesteps, (images.shape[0],), device=images.device\n",
     "                    ).long()\n",
-    "                    \n",
-    "                    noise_pred = controlnet_inferer(model, controlnet, noise, timesteps,\n",
+    "\n",
+    "                    noise_pred = controlnet_inferer(inputs = images, diffusion_model = model, \n",
+    "                                            controlnet = controlnet, noise = noise, \n",
+    "                                            timesteps = timesteps,\n",
     "                                           cn_cond = masks, )\n",
     "                    val_loss = F.mse_loss(noise_pred.float(), noise.float())\n",
     "\n",
-    "            \n",
+    "\n",
     "            val_epoch_loss += val_loss.item()\n",
-    "            \n",
+    "\n",
     "            progress_bar.set_postfix({\"val_loss\": val_epoch_loss / (step + 1)})\n",
     "            break\n",
-    "        \n",
+    "\n",
     "        val_epoch_loss_list.append(val_epoch_loss / (step + 1))\n",
     "\n",
     "        # Sampling image during training with controlnet conditioning\n",
-    "        \n",
+    "\n",
     "        with torch.no_grad():\n",
     "            with autocast(enabled=True):\n",
     "                noise = torch.randn((1, 1, 64, 64)).to(device)\n",
@@ -852,9 +1193,9 @@
     "                    diffusion_model = model,\n",
     "                    controlnet = controlnet,\n",
     "                    cn_cond = masks[0, None, ...],\n",
-    "                    scheduler = scheduler,  \n",
+    "                    scheduler = scheduler,\n",
     "                )\n",
-    "        \n",
+    "\n",
     "        # Without using an inferer:\n",
     "#         progress_bar_sampling = tqdm(scheduler.timesteps, total=len(scheduler.timesteps), ncols=110)\n",
     "#         progress_bar_sampling.set_description(\"sampling...\")\n",
@@ -901,7 +1242,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 14,
+   "execution_count": 12,
    "id": "262a5129-9445-4ecc-a37a-a97c59386747",
    "metadata": {},
    "outputs": [
@@ -909,12 +1250,12 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "sampling...: 100%|████████████████████████████████████████████████████████| 1000/1000 [00:37<00:00, 27.00it/s]\n"
+      "sampling...: 100%|████████████████████████████████████████████████████████| 1000/1000 [00:31<00:00, 31.59it/s]\n"
      ]
     },
     {
      "data": {
-      "image/png": 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\n",
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lJFdUVMBms6G7u7vk9uI3kbDb7QgGgyWP2dzcPOq6lpaWMa1prHR3d6OqqmrUYWbu3Ln878WMZe2fx1hf954yu/cm21tRFLjd7pLbrFYrampqRikpq9Va8vyFQgF33HEHmpubIcsyXC4X3G43Pv7445IN4l//9V9hMplw2GGHobm5GZdffjnefPPNPa7n5JNPhtlsxosvvshlazLJ5/N47LHHcMwxx2DHjh3o6OhAR0cHli5disHBQbz66qv82s7OTsybN29S1vXwww/j4IMPhqIocDqdcLvdePbZZ0dtxGPB5XLh2GOPxZ/+9Cd+2x//+EdoNBqcfvrp/Laxfr77y+fJWm1t7ajbAJTIYDKZxPXXX89zYmiNoVCoZI1j/a5s27YNwMgG7na7S35eeumlskhUO/TQQ/HUU08hGAxi3bp1uO666xCNRnHmmWfik08+4de9+eabWLVqFYxGI2w2G9xuN374wx8CwKjPd/f9iD6LsXxGwEiC5ezZs0tumzNnDgB8bq6Qz+dDKBTCAw88MOqzuOiiiwB8ljhIn+/ucrS/OmB/XncgEMBVV10Fr9cLvV4Pt9uNhoYGAJ+9v0NDQ0gmk2OWTcYYmpubR70fW7Zs2SvZHHMWvcViQVVVFTZt2jTmBwfGbuF8XmYjG0NyxlSzP2ufrNf9ec8zluf/6U9/ih/96Ee4+OKLccstt8DhcEClUuHqq68uSXCcO3cu2tvb8de//hUvvPACnnzySdx77724/vrrRyV7nXHGGXj44Yexdu1aXHbZZePwCveO1157Df39/Xjsscfw2GOPjfr72rVrcfzxx4/Lc33edyCfz5e8/48++iguvPBCrFmzBj/4wQ/g8XigVqvxs5/9DJ2dnfv03Oeccw4uuugibNiwAQsWLMCf/vQnHHvssXC5XPyasX6++8v+yOCVV16Jhx56CFdffTWWLVsGq9UKSZJwzjnn7NMa6T6PPPIIKioqRv1do9nrCuIpQ6fT4dBDD8Whhx6KOXPm4KKLLsLjjz+OG264AZ2dnTj22GPR2tqKX/3qV6itrYVOp8Nzzz2HO+64Y9R7tz+f0b5CazjvvPNwwQUX7PGagw8+eL+f54vYn9d91lln4a233sIPfvADLFiwACaTCYVCAV/96lf3WTYlScLzzz+/x+c3mUxjfqy9kuLVq1fjgQcewNtvv13iztgTdXV1KBQK2LZtG7d8gZHs3lAohLq6ur15av6YdPIupr29/Uvvuzeu1Lq6OrzyyiuIRqMlVvynn37K/z6Z1NXVoaOjY9Tte7ptInjiiSdwzDHH4MEHHyy5PRQKlSgKADAajTj77LNx9tlnI5PJ4PTTT8dPfvITXHfddSWlU7fddhs0Gg2+/e1vw2w249xzz52U10KsXbsWHo+HVxIU89RTT+Hpp5/Gb37zG+j1ejQ2Nn7pwfaL5MtutyMUCo26vbu7u8TaeeKJJzB79mw89dRTJY+3P2V7a9aswWWXXcbd9Fu3bsV1111Xcs3efL5TxRNPPIELLrgAv/zlL/ltqVRq1Ps61u8KhdQ8Hg9WrVo1/gueIpYsWQIA6O/vBwD85S9/QTqdxjPPPFNipU5UCKJQKGD79u3cagdGZA7A53YLdbvdMJvNyOfzX/pZ1NXVYdOmTWCMlXxHxqIDJoJgMIhXX30VN910E66//np+++56yuPxQFGUMcsmYwwNDQ0l7+O+sFdlctdeey2MRiMuueSSPZYzdXZ24te//jUA4MQTTwQA3HnnnSXX/OpXvwIAnHTSSXu92BNPPBHvvPMO1q1bx2/z+XyfW9pUjNFoBIA9brR7ep58Ps/LiIg77rgDkiSNiplMNCeccALefvvtki5pgUBgTK97PFCr1aNO6o8//jh6e3tLbtu9LESn06GtrQ2MMWSz2ZK/SZKEBx54AGeeeSYuuOCCUXHDiSSZTOKpp57C6tWrceaZZ476ueKKKxCNRvmazjjjDHz00Ud4+umnRz0WvS9fJF+NjY145513kMlk+G1//etfR5W80Gm9+L1+99138fbbb+/za7XZbDjhhBPwpz/9CY899hh0Oh3WrFkz6nnH8vlOJXta41133VWSKwGM/btywgknwGKx4Kc//eko2QRG9pXpzOuvv75H65lyn8hlvSeZCofDeOihhyZsbcX7JmMMd999N7RaLY499tg9Xq9Wq3HGGWfgySef3ONBuvizOPHEE9HX18fLKwEgkUhMWXO1Pb2/wGi9p1arsWrVKvz5z39GX18fv72jo2NUTtfpp58OtVqNm266adTjMsb2WH73eeyVBd/Y2Ig//OEPOPvsszF37tySTnZvvfUWHn/8cV7ve8ghh+CCCy7AAw88gFAohBUrVmDdunV4+OGHsWbNGp7YtDdce+21eOSRR/DVr34VV111FYxGIx544AHU1dXh448//tK122w2/OY3v4HZbIbRaMTSpUt5rKSYk08+Gccccwz+7d/+DV1dXTjkkEPw0ksv4X/+539w9dVXlyTUTQbXXnstHn30URx33HG48sorYTQa8dvf/hazZs1CIBAY10SvPbF69WrcfPPNuOiii3DEEUdg48aNWLt27ahY2/HHH4+KigosX74cXq8XW7Zswd13342TTjppj8mZKpUKjz76KNasWYOzzjoLzz33HFauXDmhrwUAnnnmGUSjUZxyyil7/Pvhhx8Ot9uNtWvX4uyzz8YPfvADPPHEE/j617+Oiy++GIsXL0YgEMAzzzyD3/zmNzjkkEO+UL4uueQSPPHEE/jqV7+Ks846C52dnXj00UdHydHq1avx1FNP4bTTTsNJJ52EHTt24De/+Q3a2toQi8X2+fWeffbZOO+883DvvffihBNOGFU7PdbPdypZvXo1HnnkEVitVrS1teHtt9/GK6+8AqfTWXLdWL8rFosF9913H77xjW9g0aJFOOecc+B2u9HT04Nnn30Wy5cvH3XAn05ceeWVSCQSOO2009Da2sr34D/+8Y+or6/nsevjjz8eOp0OJ598Mi677DLEYjH853/+JzweD7fyxxNFUfDCCy/gggsuwNKlS/H888/j2WefxQ9/+MNROUDF/PznP8frr7+OpUuX4tJLL0VbWxsCgQA+/PBDvPLKKwgEAgCASy+9FHfffTfOP/98fPDBB6isrMQjjzwCg8Ew7q9lLFgsFnzlK1/Brbfeimw2i+rqarz00kvYsWPHqGtvvPFGvPTSS1i+fDm+9a1vcSNy3rx5JQfSxsZG/PjHP8Z1112Hrq4urFmzBmazGTt27MDTTz+Nf/mXf8H3v//9sS1wzPn2RWzdupVdeumlrL6+nul0OmY2m9ny5cvZXXfdxVKpFL8um82ym266iTU0NDCtVstqa2vZddddV3INYyNlCieddNKo59m9jIgxxj7++GO2YsUKpigKq66uZrfccgt78MEHv7RMjjHG/ud//oe1tbXxsgQqw9m9TI6xkTKa7373u6yqqopptVrW3NzMbrvttpK6RsZGyj0uv/zyUWvfvTTq88ozxvq6169fz4466igmyzKrqalhP/vZz9h//Md/MAC8nvnzuOCCC5jRaNzj8+yprG33daVSKXbNNdewyspKptfr2fLly9nbb789ap33338/+8pXvsKcTieTZZk1NjayH/zgBywcDvNrdq+DZ2ykzGTFihXMZDKVlEtNFCeffDJTFKWkfnp3LrzwQqbVannZjt/vZ1dccQWrrq5mOp2O1dTUsAsuuKCkrOfz5Isxxn75y1+y6upqJssyW758OXv//fdHvX+FQoH99Kc/ZXV1dUyWZbZw4UL217/+dY/yiTGUyRGRSITp9XoGgD366KOj/j7Wz3d/y+TGImvFr6/4exUMBtlFF13EXC4XM5lM7IQTTmCffvrpHksQ9+a78vrrr7MTTjiBWa1WpigKa2xsZBdeeCF7//33v/A1TjXPP/88u/jii1lrayszmUxMp9OxpqYmduWVV7LBwcGSa5955hl28MEHM0VRWH19PfvFL37Bfve73415P9rTHkeycNttt/HbaJ/p7Oxkxx9/PDMYDMzr9bIbbrhhVBnmnuR3cHCQXX755ay2tpZptVpWUVHBjj32WPbAAw+UXNfd3c1OOeUUZjAYmMvlYldddRV74YUX9qtMbn9e965du9hpp53GbDYbs1qt7Otf/zrr6+vb42t89dVX2cKFC5lOp2ONjY3st7/9LbvmmmuYoiijnv/JJ59kRx55JDMajcxoNLLW1lZ2+eWXs/b29i98jcVI//+FCMqQq6++Gvfffz9isdgB1X5RINhbxHdl4rnwwgvxxBNP7Je36UBkzZo12Lx58x7zy/aXGTEu9kBg9yl9fr8fjzzyCI488kixYQkERYjvimC6srtsbtu2Dc8999yYR5vvLeVTC3KAs2zZMhx99NGYO3cuBgcH8eCDDyISieBHP/rRVC9NIJhWiO+KYLoye/Zs3re+u7sb9913H3Q6Ha699toJeT6h4MuEE088EU888QQeeOABSJKERYsW4cEHH8RXvvKVqV6aQDCtEN8VwXTlq1/9Kv77v/8bAwMDkGUZy5Ytw09/+tM9NnAbD0QMXiAQCASCGYiIwQsEAoFAMAMRCl4gEAgEghmIUPACgUAgEMxAyjrJbqI7uB0IiBSMyUHI6v4jZHXy0Gg0KBQKX/qek1x/0XWSJJX8ffff9+Zxx/p8X3bN3rD7433R2tj/75Gv0WhKWlNPFWWdZCc2zf2njD/+skLI6v4jZHXyUKlU4v3eDyRJGtdJjPuKcNELBAKBoASh3PeP6fL+CQUvEAgEAsEMRCh4gUAgEHwuUxleEqGt/UMoeIFAIBB8LlPpbh7Lc4tDwOcjFLxAIBAIypY9HQImSumX22FCKHiBQCAQzCgmyuswXZLnxopQ8AKBQCAQzECEghcIBAJBCZIklZ07WjCasu5kJxAIBILxp9xc0YI9Iyx4gUAgEEw7hAdh/xEKXiAQCATTiqlS7jPtUCEUvEAgEAgmlGLFqVKpvlCRftEwl4lWwDMtNCEUvEAgEAgmlGLFyRgDYwwqlQpqtXqU0v48JTsWBS9J0pceIL7ovjMNkWT3JTz00ENYvnx5yW1XXXUVnn/++S+973e+8x1cccUVyOVyWLRoEVKp1EQtUyDAihUrYLfbkUgkEA6HMTg4iFQqhXQ6jVQqhWQyucf72Ww21NTUwOVyIRaL4cMPP5wWk7AE5cvnjYRVqVRcti666CK0tLQgm83i448/Rnt7O3p6ehAOh8EYg0ajgVqt5ter1Wokk0kcdNBBOO+887B69WoEAgE8+eSTeOqpp9DX18efl8a27o1FPtOsd0CMiwUAaLVa/OxnP4NarR71t9NPPx2zZs0que35559He3v7lz7usmXLsHTpUjDGcM899yCXywEAhoeH8ZOf/GRc1r6/lPHHX1aMp3VQUVGBTCaDqqoq1NXV8bndDQ0NUBQFmUwG8Xgc0WgUuVwOhUKB/xD5fB6JRAKhUAi5XA6KokCWZcTjcQQCAeh0Omg0GuRyOXR1dY3b2vcHIauTx3iMi9VqtaioqMCiRYsAAA6HAw6HA8PDwzCbzVi4cCHsdjtyuRx8Ph927dqF7du3Y8eOHejq6oLD4YBKpUJjYyOamprQ0NCAbDYLi8WCtrY2zJo1C/39/Xj77bfxzjvvIJvNQq1W489//jPS6XSJq39vlf14MB3k9YBW8I2NjaipqYEsy3juuef2qOAngr6+Ppx77rl48803MWfOHLjdbv63d955B+l0elLWAUwPITwQ2F9Z1Wg0MBgMqKioQF1dHaLRKOrq6jBnzhzodDp+HWMMuVwOmUymxJJRqVTQarXQarUoFArIZrOIx+Pw+XwIhUJIpVLIZDJIJBLQaDSQZRmSJCGZTOKjjz5CoVDgLlJ6vEQiManyI2R18thfBW+xWODxeNDY2IhVq1ZBlmXU1NSgoqICfr8fLpcLyWQSmUwG2WwWWq0WsVgMg4OD2LFjB9rb2zFnzhxs374dRx55JFasWIG2tjZkMhkkk0mk02nE43Hs2rULw8PDCIVC/Huwdu1avPXWW9Dr9bDZbLDb7UilUti1axfS6TTy+Tx/bfTv58X994fpIK8HrIKXZRm33347rrjiinFc0d5RU1ODu+++G2vWrOG3tba2oqenB/l8HplMZsLXUMYff1mxP7Kq0Whgt9vR0tKCs88+GyqVCoODg/D7/UgkEqiurobZbIZKpUIul0M6nUYikYBarUY+n+c/kiTB4XAgl8shl8tBrVZDlmXuBqX77ty5Ez6fD9FoFLFYDJFIBJlMBmq1GhqNBlqtFoqioL29nR8kJsOlL2R18thbBb+7hbxq1SosXboUKpUKiqLAbrfzH6fTiXw+j2w2i2QyiUQiURI312q1sNlsWLJkCX70ox9h8eLFWLJkCVQqFXw+H7RaLVfmg4ODSKfT0Gq1CIfDiEQiOOqoo3D00UejtrYWK1aswPHHH4/t27fjt7/9LTo7OxEKhZDNZiFJEvL5/KjXMl5yNh3k9YBV8J988glaWlqgUk1dniFtssWvI5fLgTGGF198ESeffPKEr6GMP/6yYn9k9Tvf+Q5sNht3xRcrZkmSkMlkoNPpkMlkuDIn97tOp4PBYIBer4dareaHgEwmw6+XJIlb9+TFIkVOyj+fzyMcDiOVSkGSJCiKglgsxl2rXV1dSKfTiEQie9w0xwMhq5PHvlrwTqcTF198MRYuXIiqqipIkoRNmzbB5XJBr9dDlmVYLBbE43Ekk0m+31ksFsiyjEgkAkmSYLfb4fV60dHRgcrKSni9XqRSKfztb3/D+++/j4qKCrS1tcHtdiMWi0GSJCQSCfh8Pmzbtg319fWoqqqCyWRCoVBAf38/+vr6MDAwgPb2drz++usARkJVu4evitkfmZsO8npAKfijjz4at99+OwBg3rx5kGV5IpY1LkQiEWzbto3/fs899+Chhx4a9+cp44+/rNhbWXW73Vi8eDHmzp0Lt9sNWZZ5ghIpWVLYarUa6XQamUwGuVwO2WwW4XAYfr8fRqMRNpsNDoeDx9SBkc89n8/zWKVWq4VGo4FOp+MWOW16dC25NiVJQi6X45tjJpNBNBrFrl27MDAwgL6+PgQCgXF/D4WsTh57q+C9Xi+OPPJInHDCCfB4PNDpdJBlGTabDcPDwyUHSavVimAwCJPJhFwuh0QiAYfDgXg8DmAkmU6r1cJisaBQKPDDpiRJePrpp+FwOBCLxRAIBJDP5xGLxXD44YcjkUjg448/RmdnJ5YtW4ZFixbBarXyQ4OiKNBqtQCARCKBF154AcFgEB9++CE++eQT7lWYSRb8AZNFf+qpp+Lss8/G4sWLp3opY8JisZSs9dxzz0V1dTXy+TxuvfXWCbOSBFNPY2Mj5syZg3nz5qGqqoqXFNEhgazwXC4HSZJ4vJyUfS6Xg0qlgtFohMlkgqIo3FNFGxx5AwqFQomVns1mueIm6G90e3HcUqVSQa/XQ6/XQ6fTweVyobq6GqFQCNFoFF1dXdz9T4cLwfRnb5TTkiVLsGjRIsydOxctLS0AgHQ6DcYYdDod6uvrkUgkuEyRO5+UqVqtRiKR4PKtVquhKAoikQgURUEul0MymUShUIDH44HT6YQkSQiHw5AkCVVVVTAYDMhkMlAUBc3NzWhoaIDZbOZueIPBAEVRYDKZYDQaeS5KMplEc3MzNm7ciB07dmDdunXjquSnmgNCwbe1teGSSy7B6tWrp3op+8yqVauwatUq5HI5vPzyy8hkMvD5fOjv75/qpQnGEa/Xyy13smDIbU4bJFni2WyWK01ysQMjG6RarYbFYuGKlyAvQHGiEf2fFHg2mwXwmQKn27LZLDKZDAqFQslj0obsdrvhdDpRV1eHTCaD4eFhntFPP+JgOrOw2+1YtWoVli9fDkVRYDAYkEqleL4GWfEWi4XLbCwWg0ajKcl0j0ajsFgs3NKXZRlDQ0M8Vk4ySFUjFosFlZWVkCQJNTU1MBgMyOfzqKqqgtVqxZw5c0pyUXK5HF8XPT4lqDY2NuLggw/Ge++9h4GBAUSjUS6v5a7oDwgXfV9fHyorKyd4NZPPnXfeiWuuuWa/EpzK+OMvK8YqqzfccAMcDgey2SyCwSA0Gg1MJhOvCSY3ZzKZ5NnEKpWKh5tICYdCIcRiMRiNRpjNZlgsFphMJkQiEUSjURQKBdhsNm495fN5qNVqmEwmXi9Pay4UCtwCI0u82NJXqVQwmUwAgEwmA0mS+HoDgQC6urowODgIn88Hn8+3z++hkNXJY6zyes0113BPk8vlQkVFBbZv316S+5FIJFBRUQHGGM+cj0QiSKfTvIyT8kgAQKfTwWQyobu7GwaDgcfpdTodt+w1Gg00Gg1CoRAsFguMRiOy2SwikQi6urpw8MEH4+OPP4aiKDj88MPxySefwOl0QpZlHoqi5DzybhUKBaxfvx5bt27FO++8g7feemu/vE7TQV4PCAt+pnL55Zfj6KOPxsKFC6d6KYJxgjY/tVoNh8OBRCLB49nkYiSXPKHT6Upc+IVCAYqiYHh4mNezu1wupFIpWCwWWCwWvqmR+5KUN5UsUYkdlccZDAb+2LlcDtFolGfQ53I5vkaVSgWDwcDd/k6nExaLBbFYDAMDA3jllVcmtQxUMLFQGZrZbIZWq0Uul8OsWbO4LGazWR4b12q1MBgMXNGrVCouhzqdjid/RiIRDA4OQqPRQK/X81yRWCyGfD7PezZotVoYjUbIsgy/38/7OcyZMweFQoHXzW/btg2pVIq7/FUqFdLpNJxOJxRF4eWgvb29SCQS8Hg8OPzww2Gz2fDss8+WtddJKPgyRqvVYs6cOXjxxRdxxhlnIBaLTfWSBPsJxc81Gg1XlsBn2b6JRAJarZa756mckpLwimPxtJmRQiaFTZsqdQujjVaj0fDNjFz2BLnxySqx2WwlXgSyxGgzpkMGeRyojG/ZsmX44IMPuNdAUH4U14zPmTMHdrsdjDHE43FIkgSj0ci9TYqi8MNlPp/nSpgxhmg0yuW4v78flZWVCIVC3IPkdrt5sidjDFqtFn6/Hx6Ph4cA8vk8TwgkrxIdam02GwCUlBxnMhl+cEilUvw7QaEAr9fLlX9tbS20Wi3+/Oc/lyScTkXTnH1FKPgyx2Aw4Pjjj8ell16Kp59+etp0HRPsG7Q5ASPKntyVyWSSN6OJxWIl/byLfyhpSVEUOBwOnmlPbnngs57elIlPmzFjjMfYKe5Jm2txrTsdIOg56f7FyXiSJCGbzfJDh0ajgdFoRENDA0KhELZv345IJDJl77Ng/6DGSXq9nldV0GGRwjjF/eYVReFhIJI1OhTu/nfKmLfZbNDr9dxTJEkSdDod/9FoNPywodPpuPwVCgXeq4Hkkg6dxQ1uUqkUv40OCgaDAQaDATqdDpIkQa/Xw2Aw4PXXX0dvb29ZKXdAKPgZw69+9SvEYjE8/fTTGB4enurlCPYTUq5UbkTuy3Q6jWg0yi12clXSZle8Uen1en6/RCLBm9UA4Eq32KIHwDdnUsy0mdG1APj1xYcBykqmzZ4y/OkQQf/abDYsXLgQkUgEiURCZNaXGcWdDE0mE9LpNJLJJE+oI8uYvEu5XA4mk4m75gGUJHKSIjYajQiHw7Barfy5qquroVarEY/HoVKpkMlk4Ha7YTabeVgKGFHWBoMBGo2GewroMVUqFbLZLCorK/l3gNZMh5Li0JZareYZ99R976ijjkIkEkEoFNpj98bprPSFgp9BPPDAA1i+fDkuvPDCqV6KYB958cUXceihh3L3IClLskrUajVPRiq2pPP5PN9YyZIBPsuoN5lMvLMdbb50GCiueZdlGbIs8+symQxSqRQUReG19sCIwi+27GkNxVAzHTqMFGf3z507FyqVCh0dHZP47grGyucpLbotl8vxBjMkEwaDAX6/n8fGKa5O7nVylRcKBej1em7t08HQ5XJxa1qSJFgsFv745AHS6/W8oqNY1ukQSa75mpoa/v2JRqNwOp3o6+srKc2j0ALJaTAYhNPp5EpckiTEYjHkcjmcddZZcDgceOSRR0o8YV/0/k0HhIIXCKYRlI1OlggpUcoaBsAb21AZ0ODgIHK5HM+U1+v1JRY3db4rbuRRrJzJXUqbdiaTKbGs7HY7AHCLW6fToaGhAQB4T/vBwUGEQiGeRU8HD7LUyOKi11RRUYFwOCwU/DTliyzS4r/deuutuOaaa9DW1obBwUEMDg7C6/Xyw146nUZFRQXS6TRXylTXTm5+itVTYibJe7GsSpKEdDrNE0JpSqJer4fZbAYA7sJ3u93I5/Po7e3l8jw0NMRzA6g5Tjgc5t31dDodbDYbTCYTPygnk0nk83loNBrU1NSgoaEBdrsdw8PDX/j+TCeLXij4GcaKFStw77334tvf/vZUL0WwD5ASJ2uEoG5xoVAIO3bsQDwe55YHjSE2mUxwOp3wer3wer0lfebJJVk8hIasl+JNlGL3xQl6fX196O7uhtlsht1u55ZUIpFAMpnkm+iecgKAz5KcyGOQSqV42Z3b7d6v0jnB1ECx7fr6eiSTSXR2dvLM93A4DEVRoCgKzGYzotEoj4dTIlw+n4dWq+UhJrLSyctDsk8JmtTwJhqN8ucHAL/fzwfIUGipUCjAaDQC+Oz7RF4vClHRoZdc/wB4OSodLrLZLK+vl2UZLpcLzc3NCAaD3DOxJ0t9uih3QCj4GUd9fT1OPfVUoeDLFLImitvQUhlPOBzmvbTj8Tiy2WxJ8xsathGNRpFMJlFdXc03reKkJnKJ0iCQ4gQ6qrunTZfa4rpcLrjdbrjdbrhcLp6hTH8v9hYAo7Pw6TlpA9VqtfxAIhR8eZLP59HS0oJCocCt2uLZGtTlcOvWraitreVKtbjpDA2OoVGv9EOlbDSvgxL4gsEgAPDBSOFwmNfRk/s/kUigtbWV5wWoVCpu5dPBk8pN6f6MMcRiMV7iSeEoOujqdDo4nU40NzfjvffeK3kfppNC3x2h4AWCaQRZK8UxRQA8xk7WMilrspqpTCgQCCAQCGBoaIi76Y1GI+/DXZxJrNFoYLVa+chOykBOpVJ8ylcqlUJjYyMOPfRQfliguKiiKHx9iUSCu1SL29oCKLHoqbMZxWETicTUvNGC/YZqzelQV1dXh1gsBrvdzpW3SqVCV1cXbDYb3G43jEYjUqkUT5wrniBHTWiAEXmnMrriQy8AnjQaj8d5sxpSyOl0Gl1dXaioqIDVauV5ANQVkkJEVH4aCoX496SnpwfV1dXcoqfse/Joeb1etLa2jqmx2FQOMStGKHiBYBrhcrl4i1nKiifLhGLiAEpq0gHwDPVil2RPTw8ikQgcDgdcLhd32VP7WFLKgUCgZHxsLBZDbW0tFixYgKVLl8Lj8ZTEPSmOShssMHIw0Wg0vPSNuoXFYrESFypZW3TYmC4boWDvobi4Xq8HAK5kGWMwm83cE3TmmWfyxkiUW2I2m0t6Juj1ehiNRv4Y5BaXJAmRSATZbJZb3eT6p0E1JpMJsVgMfr+fewbWrl2LBQsWoL6+Hk6nEzabDZFIhJfX0XeAmuJkMhl4vV5u6VM2PXWKzOfzcLvdOPLII3kSIPD51vtkjE8eC0LBCwTTCFKUwGfxw1wuB4PBwC11qiWPxWI845cxhkgkwt36RqMRjY2NmD17NjweD8xmM8LhMGKxGD9AdHZ24r333uPleDR5LplMYmBgAD6fj5cWAeAWVzKZxI4dOxAOh/lQESrJI+8DWV0ajaZEyVMf/VAoxNcjKD8YY3y8Kx0gXS4X4vE4Nm3ahOrqatTV1cFoNCIWi5UMO5JlmcsNhYqoeRN5okKhEO8hT/HuZDLJM/JJxsj6prp5o9GIwcFBzJ8/H7NmzSrpVudyudDd3Y2hoSEUCgVs2bIFxx13HBwOBxhjCIVCiEQi3HKPxWLQ6XS8va7RaITRaMSiRYuwadMm/r2YzggFLxBMIyg+XTyuk2KQOp0Odrsdhx56KIaHh9Hb24u+vj5u4RRnxZN1HAgEEI/HeTySYu4qlQperxeLFi3CwMAAIpEIH7ABgPe2pzp8ipFSdj1jDP39/fD7/Ugmk3yAR3HcPZVK8fglAP4YxeM/g8Eg39wF5UUul8Obb74Jk8kEm82GgYEBdHR04B//+AeOOOIIuFwuriiz2Syfi0D3JeVOyp8qQ8i7VDwdkUI+ZH2TXKrVajDG+OjZVCqFyspKFAoFRCIRMMZgNBrh9Xr5QCZKxKM8EvIYZLNZdHd38wY7VGZHDX1sNhvy+TwGBwenjYX+ZQgFLxBMIyKRSMkEOEo4os3QYDDA7XbDbrfDbrfD7XbzQS7kBiVo6AwpVbvdzpuM0HUWi4VbLhR7p3Gaer2eN/ygBCryDgDgrWopfl/srixu1KMoCoDPMp+pOx9jrGSUraC8yOVy2LVrF6LRKM8PIa9SsaudyivJu0OQAielS7kgFMoBPus4RxY/hXaAz8JA5AFIpVLclU+5KqlUik+uI7mjtXo8HjDGeNtkUvKUX0KPYzKZ+MCmWCyGwcHBsmmzLBS8QDCN+Pjjj9Ha2gqn08kb1BR326Ke33a7Hc3NzTCbzRgaGsL777+PDz/8ED6fj7vC0+k0t65sNhsYY+jq6sKuXbv4KFfgMwuGNi2TycQPEVTuBHyWOJTNZrnbEgBPuqNDgkaj4aNDCdrcaa433Y/WKShPGhsboSgKb/t63HHHoaamhrvh3W43AoEAj2/r9XpudVOCHB0oKaGODoqUNR+LxXhIh9zkdCggjxJZ76SkKysr+bWKoqC3txd6vR4ejwd6vR7bt2/nz0WHU0VRMHfuXPT09PDBTHq9Hi6Xi9fQ+3y+kkTV6Y5Q8ALBNMLn86GlpYV3npMkicfBKbmnUCggHo9j165dAEaU5/z583HiiSfCbDbzOPnf/vY3dHR04MMPP8TOnTtLFG9tbS0aGxvR3NyM7u5u9PX1YWBgAAMDAwBGupKZTCbekaz4ucntXpxxr1arYTab+QEkHA7zkaG0GZPFpdPpStrrCsoXak3b09ODwcFBnHPOOXj44YexZcsWuN1ufPvb3+bKlurYq6ureZ15MBhEb28vzGYzP+iR216r1aKyshJOp5Mndxa3vCVrmyYZUha90+nk8ktNn7LZLPx+P6xWKw9RUSKgWq3myaYul4t7l6gXPUFx/7G456eLXAsFP8P4y1/+guuuu26qlyHYR6xWK6xWK984KYOeJmCpVCoen6RNSJIk+P1+ZLNZnnREdeZerxeSJMFsNvNSJZfLBavVyuPsBx98MJYsWcLd6el0GmazGW63m1s5er2eu93VajU8Hg8ikQiPpVK5G22qZBVRLDQUCvEmJVQmFQgE+IFCML0Yaze2dDqN9vZ2/vv555/PSzXT6TTeeOMNKIqC1tZWmEwmqFQqnjNCXQ8pHwMYcfvr9Xo4HA7EYjHeoAkAn/meTqd5y+ZkMomhoSHeB99isXAXPOV6qNVqVFZW8qx+rVaL+vp6HmPXaDTc29TZ2QmdTsc73OVyOdhsNkiShPb2dvz1r3/lMfxyQCj4GUYgEMDmzZunehmCfaR4kEbxZC3q8kWlc9T6k8ZjklVPpUO5XI67zPV6PVpaWuB0Onl8n6xo6lxnsVj4IaB4PCfNhi+Ok1MrWqfTCWDEg+D3+3nZXfEEOuoTrtPpYLFYoNPpkEqlMDw8zF2qgvKlt7e3pLthMBjknh1gJE7udDrhcrm4d4lawdLENp1Ox8veyMNEvetJ/rPZLGKxGLRaLYDP+kJQ/JzK2QBwdz/1kddoNOjo6OAlp3Rgpbp8qqPfsmULQqEQ2traeO5J8aF3x44deP7558vGPQ8IBT/jcDqdmDdvHjZt2jTVSxHsA7TZxGIxbi0Xd/eibPXi8qFi6yeRSCAQCCAYDCKRSEBRFHg8HtTX13M3KblHKSZps9m4u5Jq6Un50oGCLDqy4qmWmUZ9KoqCcDg8qglPPp/nLk+VSsXXMDg4CJPJhEQiga1bt07xuy7Ync9TYrtb9uQ2J4+QWq1Gb29vSVVEW1sbamtruXubZLvYjU1x9OJmNxRSomROcqEXjzEunpBIrWqpvWw4HEY0GgVjDFu2bEE0GuV9GioqKtDc3MwrS5LJJDZt2gS3280teK1WC5vNxuvgA4EAPvroo7KaCS8U/Axj9erVWLRoEaqrq6d6KYJ9IBgMYvv27bwUjZQvWRM0r5rihqSwqVkHZS/HYjF4vV54PB44nU5YLBbe3c5gMMDhcKCurg6NjY3colcUhWfvU7ISWUDFFjmVLZGV73A4+BSuZDLJy53o/6TctVotLBYLd5lWVlaioqICt99++xS/64KxsHtcWZIknHXWWfB6vTwUEwgEsHXrVmSzWSQSCTz77LO4+OKLeZY7yQQAnhFP1R6UnW61WtHQ0ACv1wsAiMfjiEajiEajPJ5O3ieLxcJnHJCnqLiRDeWv1NXVQa1WIxQKQavVoq2tDQ6HA0888QQsFguqq6sxd+5cLF68mM9voMRRi8UCRVFgs9m4nJeL50koeIFgGjF37lzU1NTw5B7aSMilLkkSBgYGSjrK0WEgHo8jEokgGAwiGo2iqqqKj8GkZjNGoxFWq5W7471eb0npEkGbeSaT4ZY5JcpRXJPWRsl3xSM9gc9KnIpd9hSvp0NAOTQLEYxQnPMBgA8jIlmkAULUnc5gMMDj8eCTTz6Bx+MBAF66Vtw/nloi53I5dHV1YXBwEPF4HPPnz+cyTIcHipXTc+bzeW6xkxwPDQ3B6/Xy0BUdWiORCNavX4+BgQG888476O/vxxlnnAG/34/Nmzfj4osv5jPfg8EgfD4ffD4fVCoV2traYDAYcNJJJ+Hee+8d03s1HRAKXiCYRpC1XJy1TolFAErmrpPCJUjJ2u12VFVV8XnXFKM0mUywWq3wer28V/fuG1HxeFoaAhIKhdDX14dUKgXGGHQ6HWpqanj5HG385HalGD3dVmztFK+dFIXD4UAoFCqbxKUDlT21Z6VqCZPJhLq6OuRyOZx33nn4+9//jsHBQSxZsgSyLKO3t5fnklA5nNFo5IcEjUYDi8WCDz74AMFgEC0tLaivrwcAHos3Go3I5/PcbU6yCKCkBTOFoMjzFYlE4PP5kMvl4HK5eOb9qaeeipaWFl51QgcRKvv0+XzYsmULbDYbUqkUTCYTFi5cOOnv+/4gFPwMxGQy4corr8Tvfvc73plMUB4UT5Kj+DeAkmYyxV3uaNOlgwAwUuLmcrn4dWTF0LhXt9sNj8cDq9U6qskMueCLm43snthHnfGoRp8a6dDhgA4elNFPY2opPk81xyaTiZczhcPhyXqLBfvIng6DxaWXJpMJkiTBarVi+/btPEue5q9T2ZksyzCZTHwAEjDSOZHi5eTZaW5uxsDAAJdDyvmg5yGrnbrcFWfmJxIJGI1G3sGR3PcOhwOpVArBYBBer5dXh0SjUWzcuBHLli1DPB7H8PAwnzQXj8e5NyCdTqO2thZ9fX08u386IxT8DMRiseA//uM/8PTTTwsFX2ZQkxpKSKJWmcWKlw4AQKkrPZvN8hGwiqLwGdvU/9tms/G4t9vthslkKnluUs7UOYxi++R6p1GcqVSKd86j3AByy1M7Worr09qi0SjvLmY0GmGxWGA0GmEwGHg2taC8KBQKPDGTZiUUN7iJxWIYGhrifRIAlNSfk8ySxycej/OM+a6uLl7zTgfCiooKJJNJHncneS8OD1DZXTKZ5LJfnPtBWfzUECqdTiMUCqGzsxMfffQRamtrEYvFEAwGkclk4Ha7eSVKMplEV1cXGhoauEdguiMU/AxmusSBBGPnjTfewHHHHYfZs2dz9zolFNGcagC8xWs+n8fAwABPPNLr9TAYDLy1LbnaTSYT2tra0NzcDLvdvkeFSu51cnWSwqe65HQ6zWvwrVYrT36i8ZtUE08HFOpaptVqeemTz+dDX18f/H4/t5QoEU9QfpC80JwEo9GIQCCAOXPmwG63o7u7G8FgEIcccgh0Oh0SiQT8fj98Ph8+/vhjBAIB3qaWDgThcBgDAwO45pprYLFY4PF40NjYiPr6ejQ1NfFcE4rBW61WnkFP3wmn08mTTincRd4Fo9GI2tpaVFdXI5FIIBaLIRKJYNu2bXj44Ydx1FFH8V4R+XweHo8H4XAY/f39kCQJO3fuLAvlDggFPyMZGBjAvHnzEAwGp3opgr1ElmVe6kb932nYCzWwIeVN7sxkMlnSThMY8QTo9XresKa2thYNDQ1wOByf+9zkJaBM+0QiwYfQhEIh3rM+HA6jo6ODK/Tidp70OJQtTSV+iqJAr9ejuroaXq8X0WgU6XSaNyUR8ffygsrEdDodMpkMn/RmsVjgcrkQDofh9Xoxe/ZsqFQq3nhGkiRUVlYiEolgyZIlsFqtqKurg6IoeOONN9Dd3Y329nZ89NFHqKiowBFHHMHnLlRWVvKDrNvthtvt5hntVD5qsVj485Dbnko16TtkMBhQVVUFSZLw7rvvYvPmzfD5fJg3bx7MZjMKhQL8fj9/3CVLlsBsNiORSKCurg7/+Z//yb0F0/1gKhT8DIQEVFB+FGeb795ohkqAijcWtVqNWbNm8dvpfnq9no+KpXGeu7vki5+P4uTkkiflTZY+PSbFO4sHx1A8neKpBPW3J48AWf5Ujkd9wsUkufKDZLS3txeLFy/m09rC4TByuRxXmo2NjVzuyJtjsVgAjIQSTSYTTCYTdDodQqEQjEYjmpqa+KTBQCAAp9PJ2yAnk0kAKMnlGBoa4p4uOgBT1Ycsy7zzHPWVMBgMsNlsUKvVCAQCKBQKkGUZW7ZsgcPhwNatW2Gz2VBfX4+vfOUr3BNmMpngdDpL5ilMd4SCFwimEcXZ5cBnSpKULWXN7z5KlpLiKOmJNiga8kEZ78VQQx2qXydXK43FpBwA2hiLY+0Uz6Se8vRD0MGB2u2SS5PGdxZ7ImjUraC80Gg0CIfDMJlMqKio4PXsfr8fPT09iEajmDdvXskBjhLVqPUyzWonb5XL5UJNTQ08Hg82bNhQkkEPjOR4kEzl83neZY6s9VQqxQ+NxQ2XSNnTIYO+JzQYJxgM8h9an1qthsViQTqdRiAQ4P3sy8FyJ4SCFwimEbThkTuRkuqK56hTYw/gs4Y0pIQp5k6uUqvVWtK8pniS1/DwMIaGhtDX14dQKMRjl01NTZBlGclkkrefpQ24uCwJQEnHOvob3U4ZyMX18uFwGOl0GgaDAfF4XNTClyHFniJSvjabDZlMBn6/n48o9ng8qKmpQUdHB1fylKhpt9v545Gc19bWoqqqChaLhSe49ff3w2w284S7fD5fIjeDg4OorKzk9fj0PaB8Efr+2O127g2jRDtZlnHUUUdhYGAA3d3dUKlU2LJlCzQaDT8UDw4O8hDD8PAwOjs7oSgKYrHYVL39e4VQ8ALBNILKdih+XWx1kFLdk3Kl26kV6M6dO7k1RFnOxaV0lMFMz8UY45n2uVwOsVgMqVSK/9BBAgDvqEdufMYYt5go8Ylc/pRVT14JKqdLJpMIhULw+XxlYw0JRiDPSy6XwymnnAKHw4H+/n7E43Ho9Xq0tbXhoIMOQjKZxMcff4xcLof29nZ+8GxoaODyQz3kk8kkFi5cyN3fiqJg3rx5cLlc0Ol0iMViXNbJi1Q8hIn6z2cyGQwNDfGDBD1WoVDg2fwqlQrDw8PYsGED6uvrEYlEkEwm+Xdl06ZNGB4exieffIKamhp8+OGHCAaDGBwcxI4dO8qqMkko+BnGE088gauvvnqqlyHYRxwOB0+WI0VJ0KhWUrTFveFpwwVGlGgymcSGDRvQ29uLyspKzJo1i5c10QhNi8WCbDYLu93Ob6MkI3JvFpfhkeVGs7dpowfAFTsdOsjCoyQnWmckEuFJhO3t7Xj33Xcn+R0W7A90oJMkCV6vF52dnQBGatRpjkIul+PjhxOJBGw2G5qamrgi1mg0WLduHbRaLS9Jq6mp4S1qjUYj4vE4n/ZGPRL0ej1isRgvBbXb7Ugmk2hqakIsFuPJnOl0Glu3boVareZJo1QSR+2VbTYbFi5ciFQqVTIi1uFwYPXq1XjnnXfw5ptvYnBwkA9GosY35YRQ8DOMeDyO3t7eqV6GYB+hTGSTyYRoNMq7chW3id09wae4KQ51jqPhHZFIhMfHqYc9eQN0Oh2sVitSqRR/DqohJsVMj0/uTaI4k58sd9pMi2Px1BecWtMCQCwWw65du9DX18eTpgTlQXHXwkQigXg8zie00cGSJslR50RKquvp6UE4HMYRRxzBhx+9+eab+J//+R/YbDZYrVYYDAa43W7Mnj0bjY2N3PJOJpO8kx1NeqPGTZTXQQmdkiQhGo3yddCBtXh+Ah0GaLIctbuNRCLo6+vDxo0b0dHRgbq6OvT19fHXQI9ZLggFP4NYv349Nm7cONXLEOwHZI1T5i8pTvq9uINdcZZ7scKlH2DEsqYNklybdD01sKFRncWd84ofnzL4aW30nOS2L/YkAODrp/sVHwQSiQT6+/vR29sryjjLGJp9MDg4iOrqapjNZmg0GsRiMZ6PQaEh6mhIssUYQ21tLQ/fxONx9PX1wWq1Qq1Ww+1283I6aqADgI+WpbkMpOQB8AqOZDLJZzEU986nxDk6fIbDYZ5IR3kpyWQSPp8PH3zwATo7O3mCXygU4j0bymXIDHFAKHiak11sWcwU6IsGAD/60Y/w7LPPTvGKBPsDjaWMx+O8tKy4rpcS0ooHxJDLkgZxUO962hgpq95ms8FkMvGRnLQB0v/p+WVZBgCeyETKvXgmPQA+wIay/CkHgKCNs7hnfk9PD9atW4dAICCs9zKluLTygw8+4D0Qcrkc+vv74fV6edWG2WxGMBiEoihYuHAhvF4vMpkM9Ho9Nm7cCJ1Oh/POOw+vvPIKrFYramtrYbFYIMsyvF4vstksrFYr9wYUd74jBUxdHynpb/369Xy6HDByyI1Go1z2VSoVotEo4vE47HZ7yTAbs9mM3t5eKIqCpUuXoqGhAYVCAW+++Sai0Sh/D/aUSb+nXv1TjcSm02r2krG2t1SpVHj44Ydx3nnnTfCKJp+tW7di7ty5ALBPtZll/PGXFWOVVavVilWrVqGpqYknvimKwpPdimfAk5VM7neyYord9GazGR6PB01NTaisrIQsy7xEjRrShMNh3oI2Ho/DZrNBp9MhnU4jEokgk8lAURREo1Ekk8mSyV108KDWtpThX9yLPhQKYdOmTVi3bh3a29t58tPeImR18vgyeS2eKHfllVfimGOOgSzL/ECo0+l4N8Pe3l643W6e4GYymbi7nMbEAoDP50MikYDBYEB9fT2qqqrQ19fHey2QJ4gUvCzLqKyshNPpRCAQQCAQwPDwMHbu3AmLxcK72dGho3gCHfWf9/v90Ov1/FABAP39/RgaGkJPTw9eeeUVDA8P886Oe8N0kNeZZ9LugXJpSrA3XHDBBfjwww/56EXBzIAsZCp3o0Qj+hsA2Gw23syDLGiKDVKyXS6Xg06n42VFQ0ND3GVK1gddB3xm5fT29iIajcJsNvP7xmKxUcNuitvg0mZP8f3iZLzOzk688MIL6Orq4iVyQl6nP19mjRbLASWwkeKlkA1VY7hcLi5vlDGv1Wp5tntFRQVyuRyqqqpgNBrBGEM4HMbQ0FCJVyqXy3FrXpZlMMawc+dOviay5j0eD1fwdBilTnfUQTGZTMJsNqO+vh6KoiAYDOK5556Doih49dVX0dvbi1gsNqrMczoo7b3hgFDwAPCnP/0JAMreii8UCrjxxhvx2muvYdeuXVO9HME4k0wmsWXLFjDGsGDBAq4oSRHTIBmyZKiZDAAeTyQFSxa6SqWC3+9HLBaD3W6HWq1GNptFOBzGrl27eCydmt4UW0pUV0wbOcXaSdkXZ9IDIwcFam3b39+PDz74AO3t7YhEImUXvzyQGYsiI0X+9ttvIxaLobW1FRUVFTweT3JBlnE8HkcqlYLdbufywxhDJpPhh1eKuadSKQwODnLPFE2kK/ZmUT18sZs9Go3yGnuq0Ver1YjFYqNmvdPQpd7eXnzyySfYtGkTYrEYtm7dinA4XKLY95bpMjzpgFHwf/nLXxCJRNDW1oZFixZN9XL2ik2bNiGRSAAY2UB/8YtfiOYgM5RkMon29nak02neKIQUa3HSGv1OGymVtBWPmqU6Y9pIfT4fzGZziXXe29vL4+PUHYx6ixfH5skbkMvlSjqTUae9fD6PRCKBwcFBDA0NYWBgADt27MBHH31UdlaPYGyQgv/www95s6T58+ejubmZK1YK05DHiabBUeY99Uswm828sZKiKNBoNNx6pk6N4XAYFosFg4ODfDKhRqPhfeNTqRSvQqHGTdSNjmbCh0IhruDD4TDi8Tg6Ojrw0UcfYdu2bejv7+dr2/21liMHRAy+GLvdjoGBgZKuW9MFGqQAgAs/ACxcuBCbN2+ekOcs44+/rNhbWaWxmtdccw0SiQR3f1Onu+LSHxr0QS1gaTrX7i5Ti8WC+vp6NDc3w+l0Ih6PY8uWLfxxMpkMgsEgn9VNs9/JQ0DJfvR/asKTTqcxNDSETz/9FH/+858nLDteyOrksXvC5OdRXMWh0+lw2GGH4ZxzzkFtbS1sNhvMZjP6+/uRSqV4e1gqnYxEIrxMraKiAuFwmMftVSoVNm/ezCfQUVJcfX09PvjgA1RXV6OxsZEr+vnz58Pj8fByuaGhIZ50BwDr1q3Dhg0beMtaAPjd736H3t5eniQ63h6m6SCvB5yCB0ZcRps2bUJTU9M4r2jfGRoaQl1dHdrb2zFr1iy8/PLLOOWUUwBgQsdplvHHX1bsq6xqNBqcfPLJqK+v57F3apNJyjwajfKBGTSfnTZc4LM6YMq2d7lcsNvt0Ol08Pl8PFtflmUYDAaezBeLxRCNRhEMBhGLxXjy0dDQEG83S7XPPT09JV31JgIhq5NHsbx+Wey5OF4vSRJmz56NNWvW4NBDD0UkEkGhUEBLSwt0Oh3v65BKpRAKhSDLMhwOB4+JR6NRqFQq2Gw2/O///i9qa2vhdruRTqexYcMGzJs3DyaTCd3d3ejr64PX60VVVRW8Xi+sViv0ej0fWuPxeLB+/XrcfffdqKurQ6FQwKeffoqOjg709/fzSXTEeMvXdJDXA1LBA8DixYuh1+uxYMEC3HXXXeO4qr3nlVdewb//+7/j3XffxZIlS3jSx0RZ7cWU8cdfVuyPrNI0rVmzZuGoo46C2WzmSUfk9qTOcsXz1ynzmDZomhZHWc4ajQapVIpnJNOUt0AggL6+PvT392NgYICXmIZCIQQCAT69i+L9lEU/0QhZnTz2R14NBgM8Hg/mz5+Pb3zjG0in03C73bxboiRJcLlcaG9v5wqdXPHd3d3I5/OoqanhskuHgf7+fhx88MGoq6uD3W7n+yT1sc9kMhgYGEA4HEY0GuVW+5YtW3h+CiXO0XdhImVqOsjrAavgidmzZ+Pb3/42gJEEPK/Xu9+POVbuvfdeJJNJrF+/HmvXrp205y2mjD/+smJ/ZVWj0cDhcOCggw6C2WxGS0sLH8BBSp5GZNJoV3KHUv16sbu9OD5aHBZKp9O8zShZ7gD43Hb6mQqErE4e+yOvdND0er049thjIUkSqqqqYDKZYDab0drayqszKJcEAK8KKe42R9n5VNdeXV2N9vZ23kyH2teaTCY+9c3v92NgYAAbN25Eb28v74Oye7OoiWY6yOsBr+CLefzxxzF//nz++5w5c/b5Obq6ur7QqmGMYdmyZQiFQvv0+ONFGX/8ZcV4y+opp5yC6upqPkiDLBKK05O7nmLlNLCDJmwB4Nn0VDYUi8X45khKnA4B1Fe8uDf+ZCNkdfIYT3nV6XRoamric9i/9rWv4ZNPPsHcuXPhdDp5Mufw8DDcbjc0Gg2Gh4fBGOOT5zweDzweD5LJJG677TZs3rwZuVwOBx98MM+op3UPDQ1hcHCwZDbCVMjOdJBXoeA/B7VazROO9oVFixZhw4YN47uoCaCMP/6yYqJkVaVSwWg0wmq1wuVyoaGhAXPmzIFKpeIxchrwQRYSAJ4Yt2nTJnz00UclE7J0Oh3PxqdNdjogZHXyGC95/bx6+sMPPxynn346qqur+cyEdevWYWBgABqNBk1NTTj33HPR19fHPUnxeBzPPPMMNm/ejFQqxeWzOBmQnodum8ructNBXoWC/wKsVus+P0c0Gi2Lut8y/vjLiomW1eLOdsW9u3d/7uLPm+rZy0FOASGrk8lEyyuVfFJ+CCXg0VQ3GpJEE+GKJylSDf10ZzqsUSj4A5wy/vjLCiGr+4+Q1cljquSVejJQKIji5tONsXS1mw7yesA0uhEIBALB9KY4x2M6t4adruvaHdWXXyIQCAQCweRTPB5ZsPcIBS8QCASCaUe5WMnTGaHgBQKBQDCtEcp+3xAKXiAQCASCGYhQ8AKBQCCY9kxFHL7cY/9CwQsEAoFg2jMVCXd7Cg2Uk9IXCl4gEAgEJUxnJTbV8fipfv69QSh4gUAgEJQN0/nwMd0QCl4gEAgEJdBs9+lIOVnQU41Q8AKBQCAogeYZCMob8SkKBAKBoASNRjNhFvy+PK4kSXt1v92vp2FMY32MfX3te/s8E01ZD5sRCAQCgUCwZ4QFLxAIBALBDEQoeIFAIBAIZiBCwQsEAoFAMAMRCl4gEAgEghmIUPACgUAgEMxAhIIXCAQCgWAGIhS8QCAQCAQzEKHgBQKBQCCYgQgFLxAIBALBDEQoeIFAIBAIZiBCwQsEAoFAMAMRCl4gEAgEghmIUPACgUAgEMxAhIIXCAQCgWAGopnqBewP02XmbjkjpgVPDkJW9x8hq5OHkNd9h2bC53K5qV6KsOAFAoFAIBgvGGMoFApTvQwAQsELBAKBQDAjEQpeIBAIBIJxZLqEk4SCFwgEAoFgHJkuOQxCwQsEAoFAMI4IC14gEAgEAsGEIRS8QCAQCAQzEKHgBQKBQCAYR0QMXiAQCASCGYiIwQsEAoFAIJgwhIIXCAQCwQHHdHGjTyRCwQsEAoHggGO6uNEnEqHgBQKBQCCYgQgFLxAIBIJpgyRJB4T7fDIo63GxAoFAIChvipW5SqWCJElgjEGSpGkxcrWcEQp+LzniiCOg1WpH3b5t2zb09fVNwYoEgj3jdruh1Wr5BprP51EoFBCNRpFMJqd4dQLBZ6hUKng8HgBAoVBAoVCA0WhEMplEOBxGKpWa4hWWJxIr40yDyXTjSJIERVHQ09MDl8s16u/f/e53cf/993/u/afrhlrGH39ZMdkuR41GgzPPPBM2mw2yLEOSJITDYWQyGXzwwQfYtm3bqPuQLEyXWda7I2R18lCpVBP+fpOlDgBarRbnnnsuMpkMotEoUqkUWltbEYlEsG7dOmzbtg35fB4q1UhUebrKaDHTQV6Fgh8jdXV12LZt2x6td2BE4PL5/B7/lsvl4HK5kEgkJnKJ+0QZf/xlxWTKqtlsxgUXXMAtIMYYFEVBIpGARqOBJEnI5/NIJpPIZrPIZDLIZDJIp9OIx+P429/+Ni03UCGrk4darZ4UGVCr1TAYDGhsbMQ//dM/IRgMwu/3I5PJYPny5dixYwe6urowMDCAdDqNuro6JJNJdHV1obu7G8lkEul0miv+6XRInQ7yKhT8l3DPPfdg6dKl0Ol0mD9//j4/zvr160uEjjGGVatWIRwOj8cy95ky/vjLismQ1TVr1qC2thaSJEGWZVgsFjDGkM1mkc1mUSgUkM1moSgK1Go14vE4GGNIp9NQFAWyLCObzWLXrl3IZDIoFAo8Dvriiy8im81O+Gv4IoSsTh4TLa8GgwE1NTWorKxEfX09Tj75ZDgcDrz//vvo6ekBAHg8Hmzfvh0DAwPIZrNwu92w2+2oqamBJElIJBIYGBjAjh07YDKZEAqF0N3djXg8Dr/fP+VKfjrIq4jBfw6SJOEHP/gBTjjhBDQ2Nu734y1cuHDUbf/6r//Krfp4PI477rhjv59HcGCydOlS1NbWwuVygTHGY5aSJEGj0SCXy0Gv10OtVvNEJoPBgEKhALVaDZPJBLPZjHw+z2/P5/NIp9PIZDKYO3cuEokEcrkcMpmMyDcRfCnFLvjdWb16NRobG6HX68EYQygUQjwehyzLcDgcGBwcRHd3Nzo6OhCLxeByudDW1gadTgeDwQCNRgObzQa73Q6r1Qqr1YpMJoM5c+Zgy5YtGBoagkqlQiqVgt/vRzwen3KFPxUIBV9EU1MTDAYDgJEY1A033MB/nwiuu+46/n+/349XX30VW7ZsmXJLSTD9cTgc0Ol0kCQJarUaRxxxBBRFQSaT4WVGtKGREtdoRr7uuVwOjDHIsox8Pg+NRgO9Xg9ZlgEAOp0OarUa2WwWiUQC2WwWhx12GGKxGBKJBCKRCGKxGKLR6LSwUgTTj909AJWVlZBlGYVCAel0Gqeffjqqq6sRi8Wwfft2bNu2DSqVCjU1NbDZbNi5cycGBgZ4iMlgMKChoQEAEAwGkc1modFoYLFYoNVqYTabIcsympqaoFKp4Ha7YTQaEQ6HsWXLFuzcuRPpdLpkfQeC7B7QLnpJknjsBgDeeecdLFmyZH+XtV80NDRg586dYIxNyomzjD/+smI8ZLWYSy+9FHV1dVAUBQaDAZ2dnXA6nVCr1Uin00in0zCZTNwCLxQKMJlMiMVi0Ol0XNkDgM1mAzByEFCpVMhms1Cr1QBG5MNoNEKSJEQiEUQiEQSDQfT09OCll17iHqjJkCMhq5PH/sprcTKcLMu47777cMghh0CSJOzYsQNWqxXpdBq5XI4r/e7ubhgMBmQyGezcuRODg4M44ogjMDw8jEQigYaGBuj1ei5zkiQhFovxtZLSDgQCSKVSsFqtSKVS2LZtG1588UWkUimeJ0XXTqRMTQd5PaAV/C9+8Qt8+9vf5r8bDIYShT8VJBIJFAoFvPLKKzjttNMm/PnK+OMvK/ZXVs8++2wcc8wxSCQSCIVCsNvtAMBd6n6/H8BI0pIkSYjH49Dr9fy5VSoVtFotwuEwX0smk4Fer4fFYoGiKNyVH4lEkM/nIcsyV+65XA6xWIxbQYVCAVqtFtlsFp9++in++7//e79e31gQsjp57K+8rlmzBitXrkQikcBjjz2GM844A9XV1TAYDKisrOQKPpVKIZ1OQ5IkJJNJ6PV6ZLNZHkMfGBhAPp+HTqfjVnoikUAsFkMqlYJarYbL5YJGo0Emk+Hfj6qqKhiNRhiNRphMJgSDQUSjUXR2duLDDz/ESy+9BJ1Oh2w2O2FyNR3k9YBV8A899BBWrlyJWbNmjeOKxg+/348333wTp5122oRa8mX88ZcV+yOrJ598MpYsWYLa2lrk83nEYjFoNBru5VGpVIjH4wBG3O/5fJ4n0uVyOd4sRK/Xl8QiVSoVZFmGXq+HwWDgSXaJRIJnJpMbv1AocE+ASqVCOp2G0WgEYwzxeBw9PT148MEHZ7xFdKCwP/L6ne98B/Pnz4fVakUkEoHVauVVHIlEAiaTCVarFRaLhctzPp+HVqtFPp9HPp/n5XL5fJ6HLPV6PQqFApdpCjPlcjnodDpe2pdMJqFSqeB0OmEwGCBJEgYHB2EwGKBWqxGLxdDZ2Ylf//rXiEQiYIzx+35eJdS+MB3k9YCLwcuyjIsuuggnnngib6wwHXE6nTjhhBNw2WWXcUEZHBzE008/PcUrE0wWarUac+fOxYIFC+DxeHh5m0aj4W50tVqNZDIJtVrN5WT3fwHwhDnayEjJF1v3FNOn64HPyj9pkyXXvU6nAzBSv+xyueB2u9Hf3490Oo1sNotQKISPPvpoEt4lwXRBq9XCYDBg5cqVsNlsiEajkCQJDQ0NSCaTKBQKSCQSCAQCAEYOo+QdogMr8NnBM5VK8bg9/ZC1r9Vqubcqm83y+2i1Wmi1WiSTSS7LdCgIhULQ6/XQ6/Voa2vD0qVLEYvFuHfqk08+mXGx+QNKwRsMBjQ3N+O+++6b6qWMCVmWce+99/LfP/roI6xfvx4A+GYqmJlotVo4HA587WtfQ01NDfR6fYmSTqfT0Ol00Ol0SKfTMBgMXPkDn3WtIyjWqSgKCoUCGGPc2qeDAiXXkaueGovQ5qrRaHgIy2g0IpPJ8E3dZDLhO9/5DsLhMCKRCLZt24bu7m5IkoRoNCpajs5wKKt9wYIFqK+vRy6XQyKRgMFgQCgU4pUbFD4yGAxIJBJQqVRQFAUWiwXpdBparZYre/IeUSgoEAggHo9Dq9VCURTu1qfKEDqkkgeADsHU+2FwcJB3yHO73TjppJO48t++fTs2bdrEZX+mcEC56NesWTNjLOCjjjoK//jHP/b7ccr44y8r9lZWW1tbce6556Kurg6pVIrXpOt0OiSTSeRyOWSzWeRyOZ79nk6nwRiDWq3mDZkoaY6S60hhU7mbRqOB1+vlLnrKppckCalUiifVybLMN2CHwwGPx8Oz6Slr2Wq1Ynh4GD6fD4FAANFoFDqdDvfddx+6urr2+z0Usjp57I28arVaVFRUYNmyZbj//vuxbds2+Hw+hEIhRKNRtLW1IZVKYXBwEKFQCDabjYeFotEo/H4/vF4vt+bVajUURUEkEoGiKAgGgxgaGkJfXx8v6bRarfxQ6/V6oSgKV+xarZYn8Gk0Gv67SqWCyWSC0WiESqVCV1cXCoUCampqMDg4iG984xvc5T8ervrpIK8HjIK/5557cN5558FisUzgiiaPUCiEu+66C9dff/1+PU4Zf/xlxd7I6j/90z9h8eLFvATOaDTyErViK1pRFOh0OgSDQcRiMZhMJm7BkyVD7vxYLAZFUQBg1AZGm55er+fWlMVi4S5PlUrFQwA6nQ4mk4l3OvP5fIjH41AUBX6/H9u3b0c0GuWZ/NFolLfH3d8DqZDVyWOs8qrRaOByubB06VJccsklOOKII/D000+jUCjwJM/6+nowxhAMBhEOhyHLMu/VQEluiqKU9G9QFAVer5fnjMTjcezcuRPASAMcKo9LJBKw2WwwGo1QFAVarRapVArhcJiHAMhtHwqFYLFYuDdMlmV88MEH/JBqNBpx7bXX8hAWeb32lekgrweMi542rZmCzWaDyWSa6mUIJgCq6zUYDPD5fNwNaTabucImS12SJL65FW8olCFMlj9lJ5MbPp/PI5fLwWAw8Fpj2tTI6tFqtdyqp98phq9SqXi5UjqdxsDAAAYGBpBIJJDP50vyBaiUTzCzUKlUUKlU+MpXvoLjjjsO1dXV6OnpgdlsLpFPymLX6/XQ6XT80JfJZHiICAAikQj3KlFSnlqtRiqVQigUQigUwvz588EYQyKR4G58ul6n0/HvADW+ISWdSqX4dyKTySAcDuOtt97CihUrwBiDz+fDrFmzcOqpp2LTpk3o7e1FMBicyrd3XDhgFLxAUC6QxUzWeiaTgU6n44lFZH1THJ1c8uSyp82VYufk2s9ms1z5UsYyta8FPpvDTeVLFK8HRiw1Wg89PlnooVAIQ0NDCIVCPJZPm240GuW3CWYeWq0WVVVVqKioQC6XQzqdhtfr5cpVo9HwRksUX0+n0yWDY1QqFfL5PM9ipzBSOBzmB0mamwCMyD09Pt2/eMYCAJ49T/F8athUKBSQTCaxc+dOfPrpp1i1ahWsVisfBlZfX49wOIxEIjEjckcOCAXvcDi4e3ImodfrYbfbZ8RJUzCCwWCAXq/n09/UajW3dChjmDZMUuDAZ8oZ+CzBjn6n2dq0udJhAQBPdKJMeepdn0qlkEwmkUqlePJSoVCATqeD0Wjkzx8MBuHz+ZDP52EymaBSqWA2m3ltfXd3N/L5PMxmM/R6/bSdqijYeyhhLR6PY9euXYjH42hoaOAZ9MlkkifZmUwmbmEbjUauiClcRMlzJLc0+IgS9IARt31fXx9cLheXv0QiwRU7fQfIA5XL5bgXSpZldHR0QKPRIBqNYseOHXA4HPD5fLBYLKiurkYymYTP54PH4+HPHQwGp4WrfV85IGLwfX19qKysnODVTA3t7e1obW3d5/uX8cdfVoxVVm+44QZUVFTwbF6dTsfbzwLgLkyy3MlCotvo88xkMrzdLLklyRVK1hLdP5PJcCtIpVJBp9PBYrHAarXyft8ul4srdmDkcBmLxeDz+RAOh3nDHZPJxDfqeDyOdDqNrq4uDA4OYuvWrfs1b0HI6uQxFnmVJAnLli3D0qVLYbPZMDAwgNWrV8PhcPAsdlmWS5owabVa7iKnmQexWAw9PT1gjMFisSCbzWJoaAhOpxO9vb349NNPEQ6H0dTUhEMOOQStra3IZDKIx+Mwm828GZPFYoHT6SyZLkdhBEr67OzsxMcff4x//OMfsNvtCIVC/DEpOdRsNiOXy2FgYADPP/98yUF6b5gO8npAWPAzmcmeMy6YWMjKkSQJVqsVoVCIJwtRKRC52snqJnd5sTVPipuUObkqi1t10sZFmyGVJFE8njrXxeNxZDIZ3t+brqHSKOoAWdwDnzZcGnJDpX6CmQHVi59yyikwGo3o7u7G+vXrsWzZMp5zQclsNKmQRhQPDQ3xAyLJtdlsLil3czqdePjhh7ksVldXY+nSpaioqOBufIPBgGw2C5/PB71ezw8OVEZns9n485pMJmzevBmJRALz5s3D6aefjnw+j3fffRd9fX349NNPeWtnyjchj1Q5u+mFgi9zvF4v7rnnHnz/+98X7s8ZQLEVTmU/JpOJxxxJkSqKwjPVqUMXxccJSoqjw8CerBDa0Eg5k6szEolAlmUYDAZecpTJZEosJnL1030zmUxJEx16XkVRoFKpUFdXh29961t48MEHkclkJucNFYw7pJQp+ZK8RBaLBRUVFbDZbEin04jFYgBG5JC6L1LvhuJe9cBIaIri5vR4J554In9Oq9WK+vp6mEwmnnuSSqUQj8d5e2U6sJrNZrjdbu6mJ0/VvHnzMDQ0xJNLu7q6UF9fD5vNhkAggEAgwB+XDhp2ux1DQ0PTwhrfF2a0gpdlGUceeSSvE56JWK1WfOtb38K//du/CQVfxmi1WrS0tPBNkxQmbaTU5Iaa0lA2PXlwil30ZKnvKbGNvAPkuqQsY9pw6TFIqVMdfTqdRjKZ5DXIhUIBdrudK3TadGkjLG5tS2EEi8WCU045Bb///e+Fgi9zVCoVHA4HwuEw//xnz57NPTqpVIrnbyiKwjvGUXwcKJ3oRrXpdMA0m81YuXIld+vTXAS6njrVUUlm8ZwEGkGbTCZ5eEuWZd7/PhwOIxAIYGhoiA9s0mg0vISPOjpSvgCtqxyZ0Qre5XLhmWeeEa5BwbTHbDbjX//1X7kypyYzdrudb4hU2qbRaLg7vXgELCUskVVEtetkbedyOV5yV9zqk7KaAfCsZdrgKA8gHo9jaGiIuz59Ph+8Xi9sNhsURUEqlYLJZEIqleKHBjqg0ONT7bEIK5U3VCZZVVXFa9NtNhsWL16MRCLBD5bkAdJoNHC73QiHwwgGgzzkBHzmDbDZbNi2bRv8fj9MJhPa2tqgKArMZjPq6+vhdDqRTCYRCAR4BzuNRoOhoSH4/X4EAgHk83kYjUZ4vV4e6orFYrzfPDWIokMprTMajWJ4eBjZbBaVlZXQ6XTcO0CHl3JlxifZqdVq7Nq1CxUVFZOwoqmBMQaHw4FQKLRP9xVMPGORVZVKhZtuugkVFRUlbkwqlaMyIXLPp1IpPhEumUxyVzhBCpwODKS8yYqiwwE9TiaTKXFPUoiA+nzTBkk1+eRWpY2ShtvQY2cyGX4fnU4HRVGQzWZx1VVX8Rr6vUHI6uTxefJarJjtdjuOP/54NDc3w2KxoFAowO128yRNo9HIZYys+HA4zL1NVNaZzWYRDAbxyCOPQJIkuFwuzJkzBxdeeCEfVEOu/UQiwcfAUoe7XC6Hvr4+9Pb2wu/3o7GxEbFYjDfAUalUCAaDvOOeTqfD8PAwV/Sffvop2tvbEY/HsXjxYn4QTafTuPfeezE8PLzXSXaUizLVzGgLHvgsY1ggmO5QZzitVguj0QhZlhGLxVBRUQGTycQbdlCWOln2ZM3QYBj6l5rYUMMZqlMGPjs00LxuOlDIssxLkEi503WkpGkiVzabRTweh06n40M8yJVPawPADwuRSASpVEp8H8uY4kFGgUAAFosFmUwGsVgMRqMRwMieGwqFkEwm4Xa7AYBXWlDSm16v54mf6XQan376KZYtW4ampibU19ejuroaDQ0N/D4qlQrRaBTr1q3DokWLkMlk4Pf7eXtmOuh6vV6kUiloNBokEgneQ4Jc+sPDw1y+tVotfD4fzGYzDj/8cLhcLjz11FNobW3lyXt0aN7b2fHTRcZnvIIHgNtuuw1msxlz587FOeecM9XLGVf8fj9+/etf8xaPgvLmrbfegtlshtfrRVtbG/R6PYaGhnjiEbnUQ6EQt8QjkQjfLIsb5FD3LnKVUgITdf/SarWIRqM8a5gOwxRzpNtSqRSPjVI5nd1u5zkfxfX29G8ikeBuzkAgwGOyAwMD3BMhKG8YY1i/fj00Gg1mzZqF4447jlvyyWQSiUSCW8408a24URPJqk6ng9frhV6vR3V1NaqqquByuWAwGPghk7oxzpo1iytoYOTwGA6HuUyRN4n62tP4Y41Gw/fI4nHHlChKB+DikFMgEOCJo+XKAaHgqfZ2zZo1M0rBDw0N4c0338Qtt9wy1UsRjBPvv/8+AKCpqQl1dXUwm818Qlsmk4GiKLxznFar5eVG1DyEWsvqdDoMDQ3B5XLx3t/AZx3pinvMU7IdxScpK54S+shzUJyNb7FY+AhQ2gQjkQgMBgO3qKLRKILBILq7uzE0NIShoSEesxWUP5Ik4f333+cycPbZZ8PhcPDhSNFoFENDQ3A4HCWT3SiPhCxziudT+SeNHC6uP1er1dDr9WhpaeF/p4RUGj9LclucSEpNm5xOJ18X8FmSHjVAS6fTGBwchNfr5ZZ9f38/4vF42SbYAQeIgp+prF27Ft/73vemehmCCcBkMqG5uRnpdBpVVVWora0FAO5ipw2KYpOkeEl5k0uRLBRqSUvd6lKpFHw+H6qqqvikL7/fzzdip9MJvV7PO+lRW1pysTPGYLfbeRvRXC6HzZs349BDD4XD4YDBYIDb7YbdbkdlZSXefPNNfPDBB1P5lgrGGZID6rugUqng9Xp5Zn0qlUJfXx8sFgtvupRIJJDL5eB0Onl/hUwmw133O3fu5O52iq+7XC6eZ0IeKJIxmkRHIaBEIoFIJAKn08m9V3q9ng9Uorg7NbmhhFPKnI/H4wCAzs5OvP/++4jH42U9I14oeIFgmkIKO5FIcGuFrCW9Xs+HwwDgblCypsl6oQ2OWnRS7FGn03GrKZ1Ow2azweVyQaPR8DGdtLFRb3mPxwNJkhCLxdDZ2QmLxcLHfKbTadTV1cHpdHJLHxgZIFLOG6Tgi6H4NB0YrVYrz81Ip9OQJAmdnZ1wuVwlcw4GBwdhsVh4jgcAvPrqq3C5XGhra0NNTQ08Hg88Hg/P+zCZTDyMRJa41WqF1WrlzW+o+VMoFOJT56gMlMpMyX1P5XSZTAaJRAK7du0CAC7vxSGnckUo+DLm61//OhYuXMg7SlFjCcHMgDLgaQNLJpM8oW53NyT9n0rbAPCSO5rKReVqlAlPMUrKdCaLzGg0lpQU6fV6vnlqNBqYTCa0tLTwAwdtoLRpF3fNo/nara2tsNvtiEajePnll8u6O5hghOLOhTabDYsWLUI8HodarUYymYRer0dVVRV8Ph9P/CSLHRg5/JFcU0w8kUigt7cXXV1daG1thSzL3GtkMpl4GR659skrRQmgsizzCg+apaAoCurq6vDWW2/BbrfD4XDwJFCfz8fDVFQPn0wm4XA4sHjxYqxbt44nmZYjB4yCP+6443DSSSdN9TLGlZqaGtTU1PC2oYKZQWNjI1paWnhCEo3GpJrc4k5x1BaWaotJ0dPGSxsgWe7kAQDAG9mQkqYfsmoA8IMBNd6h5DtFUbi1RCM/rVYrt9Lo4FDck7y6uhrRaLSklE9QvtCBkDxCJEvAZ+2SiVQqxWWSDprUlz4Wi/G/V1ZWoqGhAV6vt2QoTXF5HpXXJRIJbtRQ8ifJIR12SZ7pO5BOp/mAJfI6FI83pjnzDocDtbW12LhxY1k3ZTpgtML555+P8847b6qXMe5ks1l0dXWV7QlTMJpFixZh6dKlXFH7/X5unVCSEin34oE0xRnEtKlRi9lkMgmn08k3SHJ1yrLM2+DShki/U/yekufosFA80pM2a1LglHWfSCQgyzIfuUkbdCwWK2uXp6AUxhisViv0ej36+/v57eShoUNjOp3mI13j8Tji8ThsNhs/hNLhce7cuVi4cCFqampgsVh4hQh1dzQYDIjH47xpDsl98cGCBtZQXD8Wi6G3txeMMfj9fgSDQd5waXh4GOFwmPdvqKioQFVVFbRaLZfhct5bDxgFP1PZsWMHWlpapnoZgnHEarXy+uJEIoGKigreIa64OQ0wsqGlUinuZiQFTRn3xYMzyBIvnitP8VJqbkMHAurJTRn6VH9P8VZK7CNisRh3wRbHQ/v6+nhHvXA4jFdeeWVK3lPB+EIHNq1Wi6VLl2LRokUYGhriYRw6ZNJkN5K7TCaDrq4u9PX18da2lF1vNBp5Qh21kSWZpkNh8ex48ipREiiNJU4mk3xkLR0G/vd//xddXV3YuXMncrkcZs+ejaOPPhqRSAQ+nw/Dw8MIBAJwOBxYuXIlKisr+WGinBEKXiCYZoRCIUSjUXi9XjDGEAwGYTabYbVaueIt7jBH9epkaZC1XzyAplgZk7VOJXAmk4n/jVyuxW70ZDLJk5SKB+HQpko1yrFYjHe3o+tNJhNv0lPO5UaC0VB5JZWwWSwWmM3mkqEtoVAITqezpDd8TU0NtFotXC4X6urqMHv2bH4QbWhogMFgQCwW4/PkycKnVss7d+5EMBjkDW3osBuLxRAMBnlmfDAY5ONhN2/ejHQ6DY/Hg9mzZ+Pggw9GIBBAa2srDjvsMGg0GgwODuKpp57C66+/zkfZlnt/EaHgy5i//vWvuOuuu6Z6GYJxxmazcStGr9fzeuHdLW6yjIt7axfH2IHPXKV0PWXmF8dH6YCQzWah1Wr5xlms5EnxF/+fuuDRhkplexSHHx4ehl6vRyQSwc6dO9HR0TFJ76BgoikukSMlTQNb0uk0dDodzGYzZFmGoig80VOlUiESiSAcDvOqDuqpsGTJEgQCAXR3d2N4eBhdXV2oqanhzWcKhQIMBkPJrAbyHJG1nkqlYLFY8Je//IV7mqxWK+bMmQOr1QqTyQSz2YxUKoUtW7ZgxYoVvIWyoiiorKxET08PfD4fT0ItZw4YBf/WW29h1qxZ+MpXvjLVSxk3tm3bhpdeemmqlyEYZ3p6emCz2XgfbgBcAVPGOlk1NDeeLORiV2bxbHZydZL7vLjPfXEZW3EyE/2QO774vsXJfNQQBwCP/ZPlYzQaEYlEEAgE0NfXN6nvo2DikSQJPp8PPp8Ps2fPRigU4nJBbvfiIUmUJ/L+++/zBjUWiwU6nQ7hcJh3P0yn04jH40gkEryhk8fjQVNTEwDwCXNUc0/ld4wxVFRUoLOzExqNBtXV1XA6nTCbzfB4PLwen9ZJa6L/7x7nL3cOGAV/3333ob+/f0YpeMHM5KWXXkJPTw/++Z//uUSxU7a6wWCAz+dDNBoFYwxms5m3h6VYJyUHFStyqnmnOl86AFDcfHcFTiiKwq8hDwAdJsjtLstySROdXC7HG5zodDp+ABDMLFQqFV599VWk02l873vfA2OMV1jkcjmYzWaupNVqNWRZxuzZs/Hqq68iEAjA5/Oho6MD8+fPR1dXFw/3eDwebsV3dXUBAI466ihUVlbyOQtk1dPgIjo8LFmyBE1NTTCZTHC5XLDb7XwtFFqKx+OYO3cuP3hYLBbE43HEYjFUVVUBAD+AlDMHjIIXCMoRsqJJaQLA9u3bceihh8LlciEajQIYUcLxeLykZ31xiVEymeQNcKiul6Z0FZfE0WYHgA+O0Wg0CAaD3LVPCXyU5ASAZ/jTZpvP59HZ2Qmj0Yienh4Eg8FJfd8EEw9lwPv9foRCIej1etTV1SGfz2N4eBjxeJwf/AwGA0wmE8/PuPrqqxGPx7Fx40Z8+OGHcLvdcLvdvNNdIBBAPB5HKBTiWfF///vf0dDQgPb2dh73Hx4exvbt20vi/M888wwOOeQQeDweMMYwPDwMg8GAwcFBfoCtqKhARUUFBgYGEAgEIMsy3G435s2bB5VKxaczUvleuVZ+zPhxscXo9Xo0NjZi48aNE7SiyePMM8/Eq6++uk8jYosp44+/rNhbWdVoNHA6nfjWt74Ft9vN63b9fj80Gg1sNhu37o1GI3bt2gWTycStGAA8AYq6d1HSEjXDoVKiRCLBrXca8EEeAyqLowx7OiRYrVb09PRAlmVYLBa+nmQyiWg0ikAggN7eXmSzWXz00UcIBoP7nWQnZHXyGKu80gHUYDCgvr4ed955J29cQ30WdDodTCZTSRgnGAwiGAzygUUWiwWhUIjPYyf5CQQC8Hq9vC3t8uXLMTg4yOccfPrpp6ipqeGzFIpl1W63Q5Ik3nuBZsSrVCrevInCSQaDAUcddRROPvlk3p6Z2tTua5ncdJDXA8qCTyaT6O3tnepl7Bf5fB5XXnkl3nzzzf1W7oLpSy6XQyQS4XXqxTOxrVYrz2ynOe0AuIu8eEgMQbFHcvdTohy1kqUNnSwWiq2TlU5/pxABTd6i/uJUj0wz5em5tmzZwjuWCWYelGxH2e2PP/44jjvuOB42oi5zWq0WoVAIwWCQu/CHh4cxODiIYDDIk0k3bdoEtVoNj8eDhoYG9PX1cYudlHwsFuN163a7HQaDgVv+FHJSq9Xo7u7m/6eWtcUdH9PpNPr6+vhBZMuWLdwjVvzaytmCP6AUPDCyCb7wwguQJAmtra2oq6ub6iWNiW3btmH79u3IZrP47W9/W/bZnYIvJ5/PY8eOHcjn86ivr4fD4SiZ0U5jLqmJCMXFyUqhjnSkrCnbvjgxjg4ExfF4is8D4NZOMBjkBwy1Wg2/3w+z2cxLiVKpFI/7U0JdIBBAf39/2W6OgrFDcvDyyy/D5XLhoIMOQmVlJaxWK1f04XAYAwMDcDgcvKxyeHgYPp8Per0ebrcbW7ZsQSqVQktLCy+nCwaDyOVykGWZW/1kkTudTt4Ih3JEqL1yKBTiISOz2cwVNZV2plIptLe3cy9VT0/PHq31cpbfA8pFvzs///nPcfnllwNASS3wdIJaMd5444345S9/Oe6PX8Yff1mxv7J62mmnYdGiRdi2bRsaGxu5oi7uR08ztynJjmKZ5IqnjmM0vINKlyj5jlzztElSJrTFYsGGDRtQU1PD+4F/+umnqK+v56VztMFrtVq89dZbePfdd8fjbStByOrksS/ySgpUlmV8/etfx5o1azB//nykUikMDAygo6MDfX19qK2thdFoxCeffIJQKMQz2Q0GAzZs2ID+/n7odDrMmjULc+fO5RUgxdUf1JaW6uOpayNZ4263m2f4b9++HY2NjTzhjwbNRCIRrF27FsPDw6N6RYwH00FeD2gFTxskWSi0WU0XYrEYHA5HiWU23pTxx19W7K+s0mNotVrcd9992LZtG3Q6HSwWC4aHh+FwOBCJRPjULRqy0dPTw7vRUdcwatMZiUQQDAZ5ZjJNqaOxnGTpZzIZVFRUoKOjA4VCAdXV1fjggw/45kuZyffee++EySkgZHUy2Vd5LS6fpMFECxYswDe/+U0+Z50qK6LRKFfMO3fu5ANfaELc3//+dxQKBbhcLthsNsiyDIPBgOHhYd6zQa/Xw2q1Qq1W80Y3VB5HMX+S4127diGdTvMWz4888ggikQgPbY0300FeDzgXfTG0GSUSCSxcuBCPPfYY3n77bbz44ot44oknpnp5AD4bKCIQkKvz+uuvx3HHHYf+/n7s3LkTq1ev5hnv1OwmHo9jYGAAiUSCZzpns1m4XC7+OLFYDF6vF7FYjFtHw8PDkCQJRqORK29FUZDL5eD1enk3MQDc1ZnL5XjJ3nTY1ARTB8kAhYeCwSA+/vhj/OIXv4BGo4HD4cC5556LHTt2IBgM8iFIBoMBAwMDvDueXq/HkUceyb1L2WyWt1d2uVw8oU6tVkNRFJ5TQv3nKWGU7hOJRPDxxx9jaGgIOp0O9fX1GB4enuq3a8I5oBU8wRjD5s2b8ctf/hI7duzAli1b8O///u+4/vrrS7KSJ4PbbruNlxTRbG+BgGCMobe3F++99x7C4TACgQD+/ve/46tf/SpXxD6fD7FYjJclUU/7eDwOt9sNANyKodI3srroMahTXfGkLYrNU7/6d999l9fPUxmeQLD7HPVwOMwnuBmNRjz11FOYO3duiXyRC55GtqZSKZhMJmg0Gh4jTyaT3ANV3F9Bp9Pxgywl2oXDYXR0dHC5zGQyiEajvJnOgaDcgQPcRf9FqFQqvPbaa1i4cCGvC54IOjo6eLvHDz/8EKeeeioGBgYm7Pl2p4w//rJiImVVkiRcfPHF8Hg8yOfzfBOj9qFkrff29qK5uZnXssfjcT5akxQ1ebSAz7xHZCVFIhG+Ea9bt27SR2kKWZ08xlNeKRRanAD6z//8z1xBU5vjTCYDg8HAM+qpOQ7ll1ByHbnmDQYDb4nr8/kwODgIn8/H2zBv27aNH3QDgQA0Gg0CgQCCweCkeJymg7wKBf8lPPfcc1i1ahX/fV/j9J+X9X722WdDp9Ph9ttvR21t7T499v5Qxh9/WTEZsnryySejqakJiqLA7/fD4XCUTIBLJpPwer08Bk+WDrn10+k0QqEQ4vE4tmzZAp1Oh9raWthsNsRiMfzjH/9ANptFS0sL/va3v03469kdIauTx3gr+N1bITPGMG/ePFRXV8Nut2Pu3LnYvn07MpkMTCYTKisrkUwmIcsyL7OTZZk3z9HpdFAUhecodXd347333sN7772HyspKDA4OQq1Wo6GhAYcccggeeugh3pmOYvPFU+omgukgr0LBfwl0iiR27twJl8u1V49B8UuyjIohC0ir1SKdTu/fYveBMv74y4rJkNXdW8x+97vf5RaPzWYDYwyDg4MwGo28Br5QKKCrq4snK2WzWTz88MNcLoutL8oFoazmyUbI6uQxGfJaXK5J8Xm9Xg+TyQSHwwGbzYbKykoMDw8jmUzy7nNGo5HLZ01NDS6++GLuaaJwUrGsFo+YnUymg7wKBb+XLF26FFqtFscccwxuvvlmACNW+BcN0mCM4e23356WyXJl/PGXFVMhq9XV1Tz8c8wxx2BgYABvvPEGr42n1repVIoP26BDwHSUi+m4ppnKZMorKWFy19PoWZpsSFUdZMmTrFIzp+IphXtqSjNVjWqmg7yKJLu9hOp7I5EIrFYrAOCVV16ZEYMJBDML6tpIXeaCwSB6enomNW4uEHwZVINO9ew0KVGlUvGudXtS2mq1mh9Six9rT49/oCIs+AOcMv74ywohq/uPkNXJY6rllerpy7nF8XSQV9VUL0AgEAgEgmImorPcZDLVByRCKHiBQCAQCMaR6WC9A0LBCwQCgUAwIxEKXiAQCASCGYhQ8AKBQCAQzECEghcIBAJBCdMlSUywfwgFLxAIBIISPi9JTCj+8kIoeIFAIBCMiemSHS4YG0LBCwQCgUAwAxEKXiAQCASCGYhQ8AKBQCAQzECEghcIBAKBYByZLsmIQsELBAKBoASVSjVtlFQ5Ml2SEYWCFwgEAkEJhUJh2iip8eBAPawIBS8QCASCPbKvirH4fhOpXPf2sSVJ4j8HAmU9D14gEAgEAsGeERa8QCAQCAQzEKHgBQKBQCCYgQgFLxAIBALBDEQoeIFAIBAIZiBCwQsEAoFAMAMRCl4gEAgEghmIUPACgUAgEMxAhIIXCAQCgWAGIhS8QCAQCAQzEKHgBQKBQCCYgQgFLxAIBALBDEQoeIFAIBAIZiBCwQsEAoFAMAMRCl4gEAgEghmIZqoXsD8cKDN9JxIxLXhyELK6/whZnTyEvO47kiRBpVIhl8tN9VKEBS8QCAQCwXjBGJs2h1Gh4AUCgUAgGEeEghcIBAKBQDBhCAUvEAgEAsE4Iix4gUAgEAgEE4ZQ8AKBQCAQjCPTpQpBKHiBQCAQCMYRoeAFAoFAMC2ZLgqqXCkUClO9BABCwQsEAoFgN6YiSUwcKsafsu5kJxAIBILxR5KkSVHyuyt1+n335/6826cr0+WwIix4gUAgEEw6pAQlSeIHiuIucMV/3/0+grEhFLxAIBAISphoS3l35b6nv2s0ms9dyxfdbzowXTwNwkUvEAgEggljdwsdGFGAkiRBq9VClmVks1lks1mo1Wo+rKWpqQmbN29GPp/fo8tepVJBkiSo1WoAI4lt9EN8Xl/4iQ5BTJeDhlDwX8JDDz2E5cuXj9vjPfLII7jlllsAAOvWrYPNZsNf//pXfO973xu35xAcmLS0tMDr9cJms6G+vh5qtRqJRAIqlQperxdz5syBwWCA0WiEWq1GKpVCOByGoihQq9UYHBzEgw8+iPnz56O/vx9bt27F1q1bAQCVlZWw2+2Ix+Po7u6e4lcqKAf2FF+XJAmFQgGyLKOxsRHLly/HypUrkUgk8Nprr8Fut8PlcsFut3NZzWaziMVi8Pv9qKurg81mw5YtW7Bx40ZkMhkEAgGYTCbs2rULmzZtgk6nQ0NDA4LBIOLxOHK5HOLxeMlapouFPdEIBV/Ed7/7XcyaNavktpUrV466bX8444wz4HA4IEkS5s+fD0VRcOKJJ/Ivw80334xgMDhuzyeYmaxZswZ1dXXQ6/VIJpOIRCIoFApwuVyor6+H1+tFKBSCSqUCYwy5XA7JZBIVFRWwWq3QarXIZDIwm81Qq9VIJpOw2Ww488wzYTKZkM1mMXfuXGzcuBEffvghZFmGTqeDRqNBbW0twuEwotHoAbNRCvYNSZLgdrthMpmg1WqhVquRz+dhtVrR2tqKefPmoaamBrlcDul0GmazGQaDAfl8HuFwGIlEAoVCARqNBhUVFQiHw3C5XHC73Zg9ezZyuRwCgQAkSYJOp4Ner4fZbMbhhx+OTCaDvr4+bNmyBT09PcjlcojFYkilUigUClCpRiLU02n623hzwCt4q9WKBQsWAAAuu+wytLS0TOjzHXLIITjkkENKbmtpaeHP+/bbb2NwcBB+vx+bNm2a0LUIyguj0Yjm5makUimccsopmDdvHkwmE2KxGAYGBrB161YYjUY0NTXBbDZDURQoioJcLgefz4eenh54PB6o1Wqu+DOZDPL5PJLJJFQqFZYtW4ZAIACz2Yz6+npUVFSgr68P+XweJpMJJpMJVVVVGBgYwPbt2/n9s9nsVL89gmmEJElQFAUejwdz586F3W6HLMuQJAm5XA46nQ51dXWw2+3I5/NQqVTc65TL5RCNRhEOhzEwMAC1Wg2TyQSXy4UdO3bAaDSiUCjAbrcjl8uBMYZEIgGn0wmn04mqqiosXLgQiqJgYGAADocDdrsdwWAQgUAAgUAAoVCIhwkYYygUCjNSyR+wCl6WZahUKhx22GF46aWXpno5nD/+8Y8AgJdffhmnnHIKUqkUXyswctpMpVJTuUTBJKPT6SBJEubOnYtf/epX6Orqwty5c7mlo9frYTKZ4Ha7kc/nEQqFoNPpUFlZiWQyiXw+j5qaGgwODkKj0XCFnMvlEA6HkU6n4Xa74XQ6kUwmodVqIUkSbDYbZs+eDafTCQBoa2uDx+OBSqVCPB7Hyy+/jHA4jFgsBp/Ph3w+P8otOxM3TcEXo1KpoCgKamtrceKJJ+Lwww+HoijIZDJIJBLIZDLYuXMnstks/H4/ZFmGXq9HJpNBMBhENpvlCXZdXV0wm82QJAkGgwEAEI/HIcsytFot0uk0EokE4vE4JEmCyWRCRUUFurq6YDKZYLVa8bWvfQ2tra3YsGEDYrEY+vv78e6775bIeqFQ4Jb9TOKAVfDr169HU1MTV5zTjVWrVqGvrw8ulwvvvPMODjroIABANpuFw+FAOp2e4hUKJovHH38cNTU13OLo7+9HQ0MDjy2aTCYkk0nMmTMHgUAAu3btwuzZsxEOh3kyEmMMbrcbsiwjk8kgk8lAp9OhpqYGgUAAhUIBoVAIhUIByWQSqVQKer0earUaOp0O5557LhwOBz9sqlQqrFixAq+99ho6Ojp4LonT6YRKpUKhUIBOp8PGjRuFkj/AOOmkk3DYYYfB6XRi48aN6O/vh1qtRiwWQzKZhNfrRXNzM/r6+hAOh5FKpTBnzhzEYjHs3LkTmUwGXq8XyWQSjY2NsFqtMBgMSKfT8Pl8yOVyyGQySCaTUKvVsNlssNvt3D0fDodhtVoRi8W4rCuKgnnz5iGXy6Gvrw+JRAKnnnoqzGYzNBoNgsEgnnvuObz99tvIZDIzRtFLrIy/ffuSqWg2m/Haa69h/vz5kGV5AlY1fhQKBaxfvx4HHXQQFEUBMGIRrV+/Ht/85jexYcOG/X6OMv74y4p9kVVFUXDVVVdh1apVsFgs3NIgK8RqtcLj8SCbzSKRSECWZUSjUYRCITQ2NiKTySCXyyGfzyOfzyOdTsPpdPJNT6VSQaPR8LhoLpeDJEnIZDJgjEGtVqNQKKCrqwsejwcWiwVqtZofLiORCFKpFBhjMBgMCAaDSCQS6OvrQ09PD7Zt24ahoSH4/f5xceELWZ086FC4N8iyjJ/85Cew2+3c1R6Px+FwOKDRaJBIJJBIJOByuWAymRCNRnlM3GAwoLe3F/F4HIqioLq6mod/KNFu27ZtsFgsyOfziEajSCaTPGFUr9dDq9VCo9FAp9Nxz5VarYbZbEZlZSXi8TjS6TQymQzS6TS0Wi0sFgt0Oh0ymQy2b9+Ot956Cx0dHQgEAkgkEvslc9NBXg8oC76lpQXnn38+lixZMtVLGRMqlQqLFy8uuU2SJCxatAhXXHEF/vjHP+Lll1+eotUJJpKKigosX74cixcvhlqtRiaTAQCeGJdIJGA2m6HX6/lmxRiDRqOBoigIh8OQZRnJZBK5XA4qlYpb76T0gRGPEGOMu+2p5Igsd61Wi1mzZvEEO4pVZjIZmEwm6PV6MMag0+ngcrkQCAQgyzLUajUCgQDS6TQYY4hGo0gkElP2fgr2jrEop+JSM6vViiOOOALV1dUARtzo+Xwebrebx7hJERcKBWi1WhiNRuTzeSQSCWzduhVarZZ7h9LpNILBILxeL4/bq9VqhEIhVFVVcRkEwF38Wq0WABCNRkvklw6lpPRVKhUsFgv8fj8KhQIUReFJfA6HA0ajEdFodNK6+U0kB4SCb2trg0ajwcqVK/HDH/5wqpczLnzzm99EJBIRCn6G4XK5oNfrMW/ePJxxxhmwWq0ARhQxKWGz2YyKigrIsgyNRsM3NmoOotVqEYlE4HQ6eXYy3U5ZyaTUVSoVV/K0EWs0GqhUKmi1WhgMBmSzWSiKgnQ6XXIwcLvdiMfjPCeENlObzQYAPNNeURSoVCqh4GcgpBybm5tx3HHHce8OJW3q9XrEYjHkcjkA4IdE8h6R/PX29mLOnDn8b5lMBqFQCDabjVvdFosFu3btgqIoSKVSPNZvMBh4qWc2m0UqlYLFYoFer4dGo4FGo+HhATpAUFVJIpGAwWCAxWLhlv7g4CBP8it3DggF/8orr6CysnKqlzHuUHx1psSLBMA3vvENLFq0CBUVFdDpdOjo6EBFRQW3JsiSpuQiRVFQV1eH9vZ2bjkXCgXk83lunZAFEwqFkM/neQJTMpmEyWTiFr5areZWVjqd5u73VCrFDwfpdJo3F4nH49wakmUZqVSKHwZqampgt9vR19fHLbD+/v4pfncF4019fT2OPfZYNDU1QZIknvxWKBS4t4gqOXK5HDQaDa/kyGaz3LJvaWmBzWZDKpWCRqOB3W6HVqtFR0cHd7N7PB4sWLAAn376KYaHhyFJEo488kjs3LkTjDEEg0FeKx8IBBCLxQCMhDoNBgM0Gg1kWeaJqLIs8+Q8rVYLvV6Pc889F16vFy+88AJ6e3sBYJ/22OnS6OaAiMH39fXNSAWfzWaxefNmLFy4cJ8fo4w//rJirLL65JNPwmKxAACvVddoNDzOHg6HMWvWLJ6xLssynE4nduzYAbVaza2iWCyGbDYLnU7HY+x0OzUcIY8A5Xeo1WpYLBbU19fDZDIhGAxi165dvCaZ4rL5fJ4n25ErlDKcAfCuZHSoiMfj6OrqwoYNG/Diiy/u83soZHXy+Dx53X3oyzHHHIMFCxaguroaarUaw8PDCIfDcDqdPG+D+jHodDoYjUZUVFQgFArBarUim83ygyeFk+g53nvvPQSDQTidTni9Xng8HqTTabS3t6OyshLNzc1wOp1Ip9Po6+tDOp3mniefzweTyQSVSoVkMgmz2YxcLgej0QhZlnkui0ajwZYtW7Bz5040NDTgvffeA2MMRx11FBYtWoTvfOc7GBoa2icjajrI64y24N1uN9auXcvLfGYaWq0Wc+bM4WV+119/Pd55550pXpVgX7Db7fjZz34Gj8cDAMjlcshms9Dr9QBGPmtSpCaTiXeoU6vVCAaDkGWZK99MJsMtbFLklHBEiUhk6ZPbEhhxnxqNRpjNZl6aVygUIEkSXwdZ76lUisfrKWmPsu7pukKhAJvNBr1eD7vdzhubdHd348033xQWfRlClRyyLKOlpQULFiyAw+Hgnh8qoyQXeT6fx9DQEMxmM1KpFILBINrb28EYg8vl4tY+NVuiCo5UKoV4PI729nYoigKv14va2lq0trbyqpGBgQFYLBak02lEo1Gei5LL5Xg4iHpBWK1WFAoFHouXZRmyLMNgMKC5uRkej4fX5u/atYsfVH70ox/htttuQ19fH4/5lxMzVsG3trbitNNOw3HHHTfVS5lQDAYDf4333HPPFK9GsC+4XC4sXrwYy5cv5x3pqPtcsRVArkTGGLLZLK/hJSufenaTS5GqRMhdT/F1csVTzJ4UvCRJSKfTiEQivMaY4qE6nY5nwlMin9FoBDCi4KkkiWKstGlrNBreZYwOL1qtdlwqQARTg0qlgtFo5NU9hUKBZ8QbDAYMDw/zmDsdFIs9AiTf/f39POvdZrPx0rdYLIZIJIJQKMRzOiwWC3K5HHbt2oVsNotkMsnL3+LxOM/1MJvNiEQicLlc/HklSUI2my0pGaW1WSwWnmtCLv/29nZoNBrE43EcfPDBOPTQQ/G3v/0NQ0NDU/J+7w8zVsEvX74cP/3pT6d6GQLBlzJ79mycdNJJYIzxJCVSyhTzBkY2RnJhZrNZnj1M1jhZ7owxHl8nt2exm57i+RQTLd58w+Ewj1lSVj41BAE+a+tptVq5CzSVSiGRSHBPAYUPKL5PnfPIG0DZ0oLygWSGlHtFRQVaW1t57wQK43i9XvT09CAUCiGTycDpdMJkMvHcEbVaDbvdjmQyie3btyOdTvMEt0QiwQ+1pMRnzZrF+89Ho1F0dnbyw0AwGARjDPF4HBaLBQ6Hg1viTqeTN8CJx+Pw+/38MEHK22azwWazQaVSIZ/PQ1EUtLa2wuVyoa+vD8lkEqFQCEcccQQ2btwoFPx0YrokOQgEX4bb7cb8+fPR3d0Nh8PBlTglBFGmMVnoqVQKs2fPRnNzM1eUw8PDGB4e5p3CaKOk+DqVyWWzWW7F0H0pyY5+p0x5yqqn2mOy/C0WC2pqahAKhWA0Grnbn+rwycInS4k2dgohFGfjC8oD+ixlWcbcuXOxatUqWK1WHtIpFAoYHh5GoVDAQQcdxLsrKorC8zzokEeHTpvNxr1Kw8PDeOedd9Dc3Ay32w2z2Yzm5mbk83m8/vrr6Orqwrx583DcccfxgwHJa3V1NT/0hsNhtLa2IhwO83BCoVDA1q1bodFo4PP5EAwGUSgUcM455wAAr4VPJpPYsGED3n33XcTjceh0OrS3t8PhcAAAPySXU/ncjFTwf/jDH7B69eqpXoZA8KV861vfwtFHH80TkPx+P4/1UfY7uRApS76+vh5VVVUlVrDL5YIsy/D5fPD7/TzpjdyhZGWRIifXJcXSyQNAMUy/3w/gswlgxXXw0WgUwWAQOp0O0WgUuVwOVVVVvBQpl8shEonwZDy9Xo9wOIxwOAyTyQS73Q632w2fz4dIJDL5b7rgS9ldiZEcLFy4kM9AKC5V0+v1JUNi9Ho9L61MJBKIRqO8VW0+n8fcuXMRj8d52Ccej6OmpgapVAo9PT1Ip9PI5XJcbimZ7qmnnuLuf1mW4fV6ubUPjBxWb731Vpx88sm85JQOy2q1GkceeSQ8Hg8YY9i5cycvpSP5B0YmJ+7atQu9vb0YGhri7Zip5K+cmJEK3mq1wmw2T/UyJp3vf//7qKqqwn333TfVSxGMEZvNxl3Z1JlLo9GUWOCKonArWVEUrmyLoc0zGo1ieHgYsizDZDKVHBaKN2z6P1nzlDxH/ycPGMXpqT6ZDhXUCISa5pBbtXg2t06nK7HiDQYDdDodZs2ahRNOOAFms1n0cSgjJEni096AkeFHdFgk+QgEAiVu9mg0ypvZkBeJEugcDgevuCD5oAMAPZbRaER9fT38fj9ef/11nHXWWSgUCkgkEkgmk8hms5gzZ06J50pRFNTX10Or1fLk1OJeD9FoFADg8/ng8Xh4rgrln8RiMahUKthsNt4Wd86cOdBoNOjv78dbb73F35PpbsnPOAV/2mmnzciSuLFw5JFHIp/PY9euXfjLX/4y1csRfAn19fW8kUwymSzp9kXZ8MXWc3H2ezGhUAjhcBg+nw+9vb28LthoNMLj8cBms/HmIMBncXRyN5KCpr8Bn1n+u8frSYFTlnLx3xljPL5O8XbawAHwkj2LxYK5c+fyKXci4W76sSfFRT3h6eCWTCa5F4fyLKjNMVngdHDU6/X8cEi5JCaTiT8OhaOoKQ41o7Hb7XA6nf+PvfeOkuws7/y/VbfqVtWtnLs6T09P0mg0AUmghFAwIBBaYxnjBYxJXotjbGPDMetdfsYGr42NI96zGBkWy4EgEEEkgQTKIGk0o1Ga0NM93T0dK+e6dW+l3x+9zzO3BoWRNN0V+v2cM0ea7uqqd6refp/3Sd8HHo8Hx44d46I7n8/H9R4ej4d76m02G6euqGvEZrNxjz11fNDeNhaGkoQtADgcDv7TaDQwNDTEl+tHH32UowjdTl/1wZvNZmSzWe4j3qwsLy+zZOSL0cMff0/xXDUhv/3bv41du3bB5/PBarVyrs/lcnHbEBWpkRRno9Fg/XnytIvFIjKZDObm5rC4uIjFxUWe1vWmN70JF110EQ/foKI6OtCoSI4uDVRwREaZ1k15VLpokDGnSn56PK2RFPSMGvQUAaD8f61Ww+LiIn7/93//nPah2Ksbx3Pt1wsvvBCXXHIJBgcHYbfbkclk4Pf7+TN2OByQZZmjOiRYo2kaF8YVCgWeiUCeM10EqBeejHChUIDH4+F9p2kafvSjH2HHjh3cFz8xMYEnn3wSMzMzANYuIXTpGBwchM/n49fJ5XK8NlLGoyp/SmNVq9U2MadWq8Wteq1WC5lMBt/73vdQLpdftDe+G/Zr33nwAkEvYDKZcMEFF0CWZcTjceRyOYyPj8PtdkPTNNjtdp6fbTKZoKpq26FCB5Ou60in0zh9+jSq1SpyuRxmZmaQyWRQKBTwd3/3d7DZbBgYGMANN9yA3bt3s0gNhS/J26YDjbx0MsjkBVFBFcnn5nI5bo+iUGypVGqTwqWQLBl1asXzer289nA4zAVagu7CaOir1SoikQj8fj8KhQL27NmDnTt34oknnkA8HocsyyyRnEgkUCgUOLeey+V4uEu9XoeiKBxSJ4+e/p8Ekmq1GsrlMgDwrIPf+Z3fQTqd5vy/yWTivDilsai9jn5H8vk8h969Xi+8Xi+rNRpbR2k9Ri0Hv9/PRYOk5vjEE09gdnaWowbdjDDwfUg0GsXMzAyuuOIKrK6udno5gufB6/ViaWkJsizzUJl6vQ5ZlgGsGVC73d7WWkbeMYU36ZAZHx/H448/DgDYvn07nnzySVQqFT7kstksHnnkERw8eJDnZPv9fng8HoTDYc7z04FHHg15+qTnnUqlEI/HEQwGMTExweF/4ExrnyzLcDgc/O+jMCelBnw+X1vOfnBwkCubBd2FsR7jqquuwsDAABqNBlZXV3H77bfjkksugSzLvAcov53JZFAsFrmd0+/3o9VqsdwxADbmmqbBZrMhk8kgm80im80in89j3759HHa3WCzQdR133HEHVlZWMDExgT179qBUKmHnzp2IRqP8muPj4yy8RNK5NMHOeJmwWq2oVqttg5bS6TT8fn9b1GBsbAxWq5U7Ad7whjfgP//zP7lFsJsRBr4PKZVK+Ju/+Rv+ZRN0J5RPlGUZNpuNJ68ZMZvNLMIBrHkpJO1J+Xg6tAYHByFJEh+A5KlTjhwAtxJVKhVks1k4nU7Mzs6yB08eOnkx5EXRf+mAdjqdfDjT4BBZliHLMl9C6HA3VvHThYQuATabDcvLy6JtrkuhS1mr1cK1116LdDrN439jsRh27drF42BpaAywlmby+Xw8CIb2K10ep6amIMsyX1oVReE6FJo0VywWEY1GEQqFWNDm8OHDWF1dxcjICD+GcuNutxs2mw0ejwcrKysoFouwWq2IxWJtNQCaprHeA3WN0BqoZoUu26SNTzSbTZw4cYJ/V7u9Za5vDLzT6cTll1/+C9XFm5FyuSwq6bsYi8XChaB0mFBY2+g9U5W6qqrcg26z2VCv17nfnA4YTdMQCAS4T55GZVL1MD0fcEYGl8Kf+XyePRk6mCm3DoD71ilX6nK54HK5+DF00CmKwqM+yWM3Vt9T+J/+S61VvSggspmQJAmKorQNIbJYLAiFQhgeHmbVuFQqxXUXgUCA9zZFdugSRzrwdDEkVUWTycTDkWjvUvEeXR7Ju65Wq0in03C73dB1ndNAkiSxqiIA7sN3u93cvkepKdJkoH+jxWJBMBjkEcj0b6Fi1FKphHw+j+PHj3Oh3vPRLTosfWMNx8fHWZNdIOhm3G436zRQAZCu66yNres6HyzlchmpVAo+nw+BQICNKxXg0aFGjw8EAvB6vXjmmWcQCoW4r95ms6FSqbDHQprcXq8XZrMZ6XQamUwGy8vLbVXvTqcTPp8Pfr8fFosFDoeDpUNpQhdV+rvdbqyurkKSJLhcLgSDQZw6dYpD8lRbQEbearXyaFlBd0LdGNdeey3uuOMOjI+Pw+/3w2w24+mnn8bMzAx7yqR4SIZaURQUi0VO+xQKBWQyGVitVkxOTmJ1dZVTUhaLBS6XiwvtqCWP2j4dDgd27dqFvXv3QlVVLCwsYGVlBW9605tQKBRYxIkKTsPhMKxWKzKZDJLJJHbu3InTp08jHA4jGo3C4/Gg1WohnU6zzgS155HRB9YKByuVCmw2G9LpNI4cOYJisfgLXSfdSt8YeIGgVyBPgQ4OkputVCqsKU9eSzKZxOjoaFuVMXkyFJqnML1RCvbiiy/GqVOnuLgoHo9D13V4vV7OaTqdTs5VDg0NIRaLoVgs4ujRo3zokcdDRtzn82FoaIj7od1uN9xuN/x+P+c1nU4nGwEAHJqnIsFSqYTBwUHUajXE4/EOfxqC54O02+12O0KhEBdZ0uWNRGbMZjMKhQKefPJJxGIxDAwMwGq18udNuW6LxcKdIq1WC4ODgxwZov1DaUWz2cyz2VdWVrCysoK7774b1WqVQ+qRSATj4+N80VVVFZlMBuVyGVNTU9i5cycmJycxMjKCSCSCbdu2tXn3DocDW7du5TZT0nygqAO1eNZqNUQiER6W9MUvfrGttbSbEQZeINhgjHOzafIVhawpV07GOxqNtmlot1ot9sgBcFifnou+1mw2MTo6inA4jFKphEwmwy1ANGCGDjqSx61UKiiVSggGg2g0GlxYRLlUKqijHmMqolpdXcXS0hKGh4dRLpcRDAb5IP7CF76AwcFByLKMarWKRCLRplLWixO6NgvUCVGpVJDJZBAMBjkv7XA44PF4kEwmUSqVUK1W4fP5sHXrVr7YUSElRX4onWMcjkSV7MbiO7o8FgoFrK6uotVqIRAIcPQIAFZWVlAqlfCzn/0Ml112GUKhEF8K7HY7LrvsMkQiEU4V0NwEKsSjddAaqtUqX0qMF2yHw4FwOIxqtYpDhw7xIJqzB0F1K31j4BOJBD7xiU8AAN71rndh27ZtHV6RQPDclMtl/PSnP4XH48H+/fsxMTGBcDjcln+nfCXNtiZxj1arhUKhgMXFRc7bk4LdwMAAK+EBYJ14GpcJgEP65KGTPC15UiQeQlPtKIoQDAZRLBbhcrmgKAq3GpHHMzAwgFgshlKpxLKgkiRhbGwMw8PDrPVNuc5CocDhVEF3o2kann32WaysrOANb3gDK9A1Go22ccaBQACVSoXHC9OAIroQUq6divbo61SgR6kb2qM0v93hcLCGPeXkw+EwQqEQtmzZwkV2ALhGJBQKIRwO88RDmptA9SLUC1+r1bjvnv6/VquxKBOloHRd58E1tJd7gb4x8MlkEp/85CcBgEUURkdHO7yqziDLMg4cOICnn366TWhE0B2Uy2Xce++9AM7k3oPBIAvRAOCQe7lcZiNIvb3VahUzMzOsfJdKpVAul7mVjg4nOhRJxpNCpnRI0uhZuiBQX3s+n+eQvtlsRqVSwejoKNxuN3w+HyKRCCwWC9xuN18UqNgqn8+zVy7LMq688kqEw2GYzWaoqopYLAaXy4VisYiVlRWcPHkSCwsLWF1d7fqWo80IiRhNTU2h2Wxi//79CIVC3D1BOgpkrBOJBFfHS5KEcrnMhW7GeQakjEh/V1UVHo8H1Wq17cyikD5FmOjnFEWBoigYGxsDAO4Uoc4NMvikTpdMJjEyMsKFcxSJMLaD0uvS+uiSTZEFmqI3OTmJJ5988gXP1m7x7vtKyY6QJAnvf//78fnPf36DV9RdjIyMYHFx8QUf08Mff0/xfHuVBni84Q1vYO+XJEFJtCMSiXA4PBKJIBgMYmpqisPnZNyNfb+Uiz916hSWl5d50pzH40E0GoWiKHz4Li0tIZ1Oo1gsolwuo9VqIZvNtvUr79q1C4qiwOVywePxwOfzYXR0FB6Ph3OzdrudRUfI86G0AEUbVFVlry+ZTOLUqVNwOBz4i7/4ixcdPCP26sZx9n4lz9vn82FsbAwXXnghXvOa1/AMeFJ5o7GsoVAIAHD06FFMTEzAZDLB6XSyNDNFeUjWmFI8uVyOizEpjG/Utd++fTv/nVo9BwYGMDExwXoLAOD3+7G4uMg5/XQ6jf3796NWq/G+TiaT8Hg8XB1P8+Xpd81qtSIYDAJYcxop0mUymfCBD3wAqVTqBfdkN+zXvvHgjXz9618X0+QEPcEtt9yCvXv3QpblNoUtkvocHx9Ho9HAwMAAF8ZpmoZt27ZBlmWu/jWZTDyogw7A5eVlTE1NcRsa6b9T77HFYkE6nYYkSQiFQvB6vchms+yNezwerpbP5XIcCaAJYUtLS+y9UYEd9e1TXz+pgZHHZJxOt337dlx44YWYnp4W7a1dhrH9EQCH1CORCLZv346LLroIAHiITLPZRKFQYHGlXC4HRVEwOTkJWZaRz+cBnBkdTPUcqqqiWCxiz549bPiN1exGZTlSwaNOjGKxiEceeQQXXHABfD4fxsfHWYinWq0imUxiZWUFzWYTXq8XR44c4SJBKhhdXV2F2WyG1+uF3W5HNpttKwSkyEG5XOae/qeffrpndBv66rfKZDLhzjvvxOWXX875H4GgW7nllltwwQUXwO128yFGYh/AWvU5heSpMI7ay0ivnn6GBGQojO9wOPDDH/6QZWqpsI9amUhdjMKidFlwu90cCaBDnp6Pxtem02nE43GUy2WsrKxA13UOlRrDr3QYU9iVZsuTB0VVz3fddRcPwhF0B8Y2MLqQHThwAPv378eWLVt4PDF1dVCBG1XeU2QHAHvGLpcLbre7TZeBFPBoHgLJ29ZqNRZ4okskdXXYbDa43W6Ew2HuDEmlUlBVFYFAgC8JNAQnGAwiEolgeXmZUwvUq09zS0wmE8rlMuLxOHeA0LwHXdfh8/ngcDhQq9Xw4IMPolKpdIWH/mL0nYF/7Wtfu+mHzZRKJXzpS1/qudnFmwnSovd6vVwlT541ecIUZqfQoKqq7C1R7pO8d+PzNhoNzM7OYnV1FaFQiHOduVyO2+IsFgu8Xi8LitAoT4/Hw4c05SWbzSaHTEmcxuv1ci6TdOrJ4yIREKrqJ6ETGuZBF5hqtYqlpSU8+uijopq+iyGVwyuuuAJjY2N8Ia3X65yaMU5BJFU4SjPpug5FUeB0OuFyuViDgVJJlIOv1WooFAq8z6kC3zgIKRKJ8EWBCvfi8TgSiQSnAci58/l8CIVCGBgYYGEbaoWjywVFl6gtjn7X6HeL1kF72mq1Ynp6umf2a18ZeMEahUIBv/d7v9fpZQheBPKK6QAlL52MOhlfh8OBXC7HAzbIWBqfh4qhms0misUiHnzwQVSrVeTzeTbC1Idst9vhcDhYk96oz332FDlqZXM6nVwoFYlEMDg4CIfDAVVVORRPAjr0fJIktUUfGo0GVzNT0d3q6iqOHj3akfdf8OIYtegvvfRSFizSdR2qqnLUx2KxQFXVtosdKeA5nU6OAlmtVh5ORO1qxkp2iu6QZ08qiNT5MTg4iFAoxAbbbDYjHo/zZZjSQ9Rn7/V6MTAwgHw+zyqQxn1Oe5OiTT6fry0iRpeFSqXC42NTqdQ5vW/dgDDwAkGHIM8aWPNmKbxOnouiKMjn89A0jXuNyXuZmZlBNBrFxMQE9/ECQDwex4kTJxCPx3lmOx28V199NXbv3s1eDgl6UM86XRzIO6M1UuERsGbwl5eXuUiKZD+dTieHRunCQpcW+reZzWbk83lEo1GUSiXOawq6G5I/BoBsNst591arhWQyybMJqCjO7Xbz4JhqtQqPx4OxsTEEAgFYrVZks1k4HA488sgjKBQKbJS9Xi88Hg9fECknT213kUiEjXCj0UA6ncbi4iIPhaG9Nj8/D7vdjkgkwgp0lPuvVCrI5/NIJpMoFousbjc4OAhgLZ2QzWa5KHXLli0YGhriy/L09DTXl7zYe9YNCAMvEHSIRCKBWCzWNvCCRD6AtcOUZF9JBKdarXLbGnkvxiEvmUwGx44d46K4QqGAXbt24Vd/9VdZM5xCkOTVk0E3Fg6RoA0Za9KeJ4/K2G5HXh3l+emiQONjKYJgs9kQCATw2GOPwWazYXp6GnfddVen3n7BOUCGSpIkHDp0iKNFlMax2WzI5/MsiUyha9pLVJ9Bl0xFUTA7O4tKpYJQKAS3281RK9pX9LySJCGXy7Gs7PLyMk6ePIndu3fz3IVCoQCv14uJiQlUKhUsLi7i0UcfRTqdBrDW2hYOhzE+Ps4py8HBQVx99dUIBoN47LHH+KI9NTXFA2e8Xi8ajQa2bdvGM+9PnDiB48eP98SQGUIY+D7jvvvuw1//9V93ehmCc0BRFC42crlcyGQyHOYmD9rY/kbeMfUTk4FtNBpwOp144oknMDMzw+FKWZZx3XXXYc+ePXA6nW2eudHQA2CREWpnA9oLrajnmQ5iyq1SHp6gwj/Kq5LiFwnp2O12TE5OIp/Po1QqYWpqasPeb8HLg/bFwsIC9uzZA7fbze1mNJnQbrdjZGSEWx0p9K6qKk6cOIH9+/ejWq1iZWWFRY5o71Gth3FGPF0WHQ4HlpeXUa1WuV7l1KlT7KVfcMEFSCQS3COvKAoCgQDS6TSr3s3NzeHUqVNcgEczFxKJBM93oNTB5OQk4vE4VldXOVJx0UUXYXFxEVNTU5ibm+spvYa+MvCtVgu333473vSmN3HIZbMhSRLnrwTdS6vVwpEjR3DgwAH2zqlilww0KduRQaXqd/LYaRwsHZiUb6dxr+FwGPv378fIyAi3qJGMKHkgxjnt5K0DZ3KfxkI/WhPlROnfQc9HrXfAmcI6epzR46FCK/o3CLofGvE6NDTEo1dJTAk40/7WbDbZK6d2ypMnT8LtdqNQKMBisfD0QtpzxogA7TkAbZMIAfBUONJosFqt8Pv9iMfjXLxJ7Zo0EZEK+kgMitQgnU4nt8gZ60RoT5IIFOlC0OU4l8vx78sLIXLw60Cr1cJv/dZv4d///d9x0003bcpq+ksuuQSf+MQn8K1vfavTSxG8CF/84hcRDAbhdru5VY1yieSlUwgcWJs85/P52orlWq0WVlZWcPr0aQSDQUiSxJeEq6++mjW3jYcyGV/j+Fg6bMngUo6eqo0p9E6HMUmVGqEiPKqkpksJGQH6OWoxItGUZDK5ge+64OVy6NAhnlMQiUS4qM3j8bRNJCSFQ7rgJZNJPPzwwxgZGcHg4CDvTwrNG8fFGtXuaITx4OAgJElCoVBAJBLB6dOnUalUUK1W8d3vfheyLGNoaIjFdkqlEqLRKJaWllAqleByuVCtVpHNZmG32xEOh3Hddddh27ZtSKVS0HWdLxMOhwNjY2McUbPb7Wg2mxgeHsbp06e5+K5X6EslOwD4wAc+gH/5l3/ZwNV0B7fddhve8573nPPje/jj7yleaK9eeeWVePe73418Po+xsTH2IOx2O4fBgTXPd+vWrRgZGXnO58nlclhdXUUikWAPifKLxjw7eST0/ORlA+B+Y6qCp4Oa6gSozYgG0ySTSbRaLYyOjqJQKLBhp8pkaoOiCEAmk0Eul4PL5cKDDz6If/iHfzjn91Ds1Y3DeLEkaA9fcskl+JVf+RV+HFWt09hYapk0mUxcY5JKpZBMJpHP57mfvdVqweFwwO1288WQ8viqqiKXy/GFln4fIpEIZmdnMTMzg/n5eWSzWezcuRMzMzOw2WyIRqOoVqsIBAKQZRmBQADDw8PQNI0VIWkWPUUB6IIBrP2Ora6uYnFxESsrK/wcwWAQx48fx7e//e1z1qHvhv3aVx68kW54cwWCc8Hr9WL79u3sEVMengqFotEoe9npdBp+v5/lQSm3Tf3AmUwGmqZxaB9A2wCPRqPBuU3SCD+7FYlancjDqtVqXAlP+vjkgVG1M2nql8tlPtyp35jyrdRnn0gk8KMf/QiPP/54x95zwQvzXOcn7SFd19n4UqunLMuIRqPcQkaX0lqthq9//eu4+OKLWVipUChwugkAisUiTCYTDh8+zJMLW60W/H4/fD5fmyZDKpXiXHssFkMsFsPw8DCKxSJUVUWj0cDExAQLRtGo5FAoxEI6qqoiGo3ypYL2u6qqcLlcAIBQKMST6aLRKFZXV/ni0SsFdkAfG/iHHnoI//2//3d8+tOf7vRSBIIX5Omnn8a//Mu/4P3vf/8vzHUHwIVsrVYL+Xwex48fRzQahc/ngyzLrGFP4UM6ECnsToaaPOlms4l0Oo3V1VUMDg4iHA5z8ZzxwCPvm3KbxuejcbPGHnc69IzhTvKW6DKiaRrm5+cxMzMjZsH3ICaTCYuLi7jvvvvwO7/zO9xbTp+/z+dDoVCALMvQdR0zMzO48MIL4XQ6eS9RURsVahaLRRw9ehT5fJ7b5lwuFxfykYffarWwuLiIXC4HWZYxMDDAVfv79u2D3W6Hoij8e1MulzkdQIqQ9LtQKpU4bUXzEkwmE+sy+Hw+TExMwGazoVKpsAz0ubTIdRPmTi9gvThx4gS+/OUvd3oZG8oTTzyBp59+utPLELxETp8+jR//+MdtHjeANpENml1N4jDxeBzpdJpblDKZDFcSk8dOrWp0sJLhpfY18vapD54MOkUFqECJLhzlcpl766lFqdVqcYjWqKpHBXvGXH+1WsXy8jJOnDiBxcXFFx0uI+gu6HPMZDKYmpri2QnUbmmsy6DQt6qqGBoa4gJSUosD1iJVNPp4dna2bYyrcRRyNptlXflsNotyuQxJkuDxeFhFb2xsDDt27MDExAQr2IVCIQQCAS76Iy0H6tcnKEJlNptRKpU4v08a9cvLy1heXkYulzvn4jlRZLcBUIjG6XR2zRt+vqFKTwD4//6//w/f//73O7wiwcuBvAxJklCr1dhbLhaLLBFLuXJZlrG6uopkMtmWSzS2wJFhJe/K6Mnoug5ZlrFr1y74/X6k02nUajWemEXFTaRKR+1JyWQSzWYTg4ODMJlMWF5ehs/ng8vl4tcyjqGl+d3NZpMP6meeeQaPPvoo4vF4T3lCgjVIPY68YDKWJJS0sLAAn8/H4jRbtmxBPB7n8D4p3tHPzM3N4dlnn4XD4eAKfXrc6OgodF3H3NwcFhYWkM/nsXfvXrhcLg7vk+49AC7eJO0F6j5xOp2oVqtIpVKw2WxcA0ApJroEt1otuFwu7NixA8DahTQUCuF73/sejzXutZkJfVtkR5jNZiwtLWFgYGADVrTxTE1NYdeuXQDwsqo7e/jj7ynOda/+4Ac/4Kp6qqzXdR2ZTAatVgtbtmxBNpvlPLrVamVBG6qqpxylsa8YWDsAKS9OCnWU2zS24/3sZz/jPD8NoaHCOjqc/X4/yuUy9xbTJDHK7ZOXVq1WUSqVcOLECfz85z/HXXfd9bL3nNirG8fz7VeKMjkcDtx444244oorWFOeuj+oLx1Yqy9JJBJwOp1tMrYkXQuc8aCpdoR04cPhMPx+P3RdR6FQQCqVwuDgIE6cOAGXy8WjXM1mMxYXF+FyuTA+Po6RkREkk0nIsswRL1K7c7lcsFgsKBQKWFlZgcfjgdvthtPp5NelyY6qquL3fu/3uAiP1naudMN+7XsDDwA7d+7EZz7zmb4bIftv//Zv+NSnPoXp6emX/Rw9/PH3FOe6V8fGxvDe974Xr371q9kAU4i+2Wyyyh0pzQFgadtyucwHX7PZ5AEc9DiSDaXnzOfziEQibPRpApfb7W4b3kGa4tS6VCqVIMsyS47SWqrVKudAyTvSNA2PPvooHn74YRw8ePAVDUASe3XjeK4qeuP3LBYL3G43rr32WuzYsYP14d1uN8rlMkeNSqUSarUaJEliNUNj0SYJMlGumy6K1WoVNpsNLpcLjUaDR8xSQanf74fVasXTTz/NxaKKovBwGU3T+E+tVkMkEuE+fKploYutLMuw2+088OnQoUM4fvw4pqenMT09/QvFqucCRdE6TV+H6Injx4/j1ltvRS6Xw7ve9a5OL+e8cOutt+L2229/RcZd0H3Mz8/jBz/4AarVKv7Lf/kv7MmToh1wRgHPKFJDAjPGgiLqQybFu2q1yl4/DQCxWCxcxUzFeXa7nUd9UiudUUK02WxyBIA05f1+P4Az40UbjQZSqRQeeOABPPXUUzh16pSYbthDvJAhI0+2UCjg4MGDaLVamJiYgNfrRT6f50p0qgM5W6xG07RfUFGs1WptUw3J+NOeJ2VEu90Ok8mESqUCk8nEHjhNR6Q0k9vtRqlUQqlU4p9bXl7myyd588YLcLlcxuzsLJ599lmcPHkSS0tL/O94qZfLbrmMbgoDDwDf/e53USgUcMEFF+DAgQOdXs5LZnFxEcvLyzCZTLj44ovx7//+73jooYc6vSzBOvDYY4+hXq9j9+7diMVi3IJGnorNZuNcoLG4jUKJdBhSmNxYkS/LMocpaY42VSJTvzGFKUl8hGRHKRRLhU3Aml6+ccwmtUnpuo7l5WXcfffdWFxcFPn2PoIMN7AmA6soCqrVKqLRKCRJwtDQENdhGJUQAfA0N3oeqvUwFrqRp2+32zk6RLK4DocDuq5zVbvVauWxx36/H6FQCMVikSv1TSYTF4uWy2Xe1+VymcccUzFfIpHAo48+irm5Oa5L6aWWuOdi0xh4ALj//vtx/fXXY3V1lQ9Eur11KxR+/fznP49Pf/rTMJlMSKfTPb3pBC/O4cOHccstt+BLX/oSH5LUg0xqd1S5nM1m4ff72Tuv1+tIpVKIxWIoFos87IWgSXVerxeZTAaxWAzAGTnZcrnM1fbUCkeXBir4azQaWF5exuzsLHtklUoFP/jBD7C0tIRKpcIemNirvceLGTYyzhaLBceOHcP09DQCgQAuueQSJJNJ+Hw+rmYPBAL8c81mk+tKqMCNhGMoRE4dHxTOp4tCMBiEpml8ASgUCnjmmWfg8/lQKpWQy+VQKBR4wBK15uVyOZ4aZzKZuDMkk8nAYrHw78szzzyD06dPs1AU/Ttf7vvXDWyKHPzZ0AjCz3zmM/jQhz50nld1/iDJxYMHD2L79u145JFHcNVVV8Fms0HX9fNycPbwx99TvNy9Sp7PRz/6Ufzar/0akskkjh07hgsvvJBnucfjcQ6Zu1wu2O12LC0tYWhoCOVymXXoKSfudrt5pvvS0hLPdKeqeVK3o9y8pmkwm82o1WrI5/NYXl5GuVzGPffcg/n5ee4pbrVaGB4ehtPpRLlcxiOPPHI+30KxVzeQl7JfjTPjQ6EQ3vrWt2LLli28P0kAh8RvSByJCvEkSUKxWOQ5C1TlTtMTjbnsTCaDgYEBBINB9tIVRcGpU6dw+PBhHDt2DK973euwd+9eAOBwvc/nw8LCAprNJlKpFB555BEcO3aM+/aXl5dx6tSpXxi09Erohv26qTx4gsKFxilY3Uq1WsVv/MZvQFEU7uMU4c7NAx2KDz/8MHvQW7ZsQSKR4DAjtQKReAiwdmhms9m29jtSmms2m8hms2g2m5zjJE+qVCqhWCwiGAyyEMnCwgIGBgaQSqVw8uRJHDx4ELlcrs07o0rmfD7fNoREsDkgLzuTyeC+++7Dli1bcODAAWQyGaRSKXg8Hp5RQLPV6WJA3jqJ2dCl1O12Q9O0tmmKO3bsYM0H6iCZn5/HqVOnUCwWEYlE4HQ6kUwmoes6wuEwJiYmWG3vwQcfxJEjR7C4uMg5dmPvfb+xKQ08ce+99yIWi+Hmm2/GP/3TP6HZbOLVr341rrzyyg1bw3e/+11MTU3B6XTilltuwb/8y7+wAAi1jRw+fHjD1iPoTqampnh/3nvvvbBYLNi9ezcreJEHRW08NpuNNSComM7pdLIYiclk4qp6qnI2qtIVi0Wk02mkUikcO3YM4+PjOHnyJKampjA7OwtZllEul1EsFlmHwTgPXLB5IONObXALCwt48MEHUalUYLPZkEqlWG0xEAhgYmKCDTtFjmhADRlaY0SAJsyZTCYoioJsNtvWTgeszX2PRCIA1lr4duzYgbvuugvHjx9HJpOBruuIx+M4ePAgpqamuGL/pbS99SKb2sDfeeedWF5exs6dO/FHf/RHqNfruOWWWzA8PIzx8fHz+lpTU1MYHh7mNifitttuwx133IFgMIhrrrkGf/qnf4rl5eXz+tqC3md1dRVWqxWXX345vvnNb6LZbOINb3gDIpEI/H5/2whZkuzM5XJcaW8cBWuUpTXmWpvNJvL5PLLZLJaXl5HNZrGysoLZ2Vmsrq7i8OHDWFxc5OEyx44d6/sDUnBuGMcGq6qKH/zgB3jggQewfft2aJqGhYUFeDwe7N69GyMjI7z/VFVFPp9nDQfap9QiGolEoGkap43I0JOWfbFYhCRJCIVCHCUAgHA4jOnpaTz++OM4dOgQt96lUil2oEjcZj1C6SIHfx5YrzfxoosuwpEjR1726579ltbrdfj9fnz3u9/FNddc0/aYm2++uaOjXXv44+8p1muvOhwO7NmzB7FYDKOjo9iyZQu2bt2KLVu2oFqtclqH1Bzr9TpkWUatVkMikcAFF1wATdOQTCbx7LPP4j/+4z9w6tQpSJKEQCCAkZERTE5O4uc//zmmp6c7Ki8r9urG8Ur2q7FwmQpBKUIUDofx+te/HoqiIBKJoFar8bhgu90Ov9/P6SbqhXe73bDb7XyOHjp0iC8K//f//l+srKxgYGAAkiRB0zSEQiH853/+J4f6SemRvH261NK/cb32VTfsV2HgnwNJkuB2u5/3+1/84hd5XOLZVCoVjI2NteX3LRYLnnrqKbz//e/Hnj178MEPfhD79+8HsNZ7SRuvE/Twx99TrOeNnrpBzv4DAENDQ5yXdLlciMViUFUVqVQK8/PzKBQKvFdJyEaSpLZpdOl0miueO4nYqxvH+dyvRoNKufCzu5eouPMd73gH59lPnTqFa6+9Fg6Hg0P6n/70p9v2LFXk0xlKnSakE2EcgrTRdMN+FQb+ZXDgwAEMDQ095/fq9XqbHOfWrVvxt3/7t7jtttvwwAMPwO12Y8uWLbj33ns3csnPSw9//D1Fp/YqFSiRB2W32zl3SVPq6JBstVqIRqNYWlpqKzjqlqJOsVc3jvXar8/3vPTZjoyMsHa8qqqIxWLcOidJEo4ePcoGnLQcaEQxAFZQJCW+Tu6ZbtivmzoH/3I5fPjwORe+1et1pNNpfP/734eu60in05ibm1vfBQoE/w9VVbnP2IhxXnur1eJDU1VVVKvVrjicBP3Hi+2rxcXFtsel02m+bD7XWGLy3ukxxu8JhAe/6enhj7+nEHv1lSP26sbRzfvVuLZu0Xx/LrphvwoPXiAQCAQ9g9FwdoMR7Wa6W6dVIBAIBALBy0IYeIFAIBAI+hBh4AUCgUBwTnRzbl7wiwgDLxAIBIJzQuS8ewth4AUCgUDQhvDU+wNh4AUCgUAgOI90ywVJGHiBQCAQtCFC8f2BMPACgUAgeF66xRsVvHSEgRcIBALBC0JjWunPCz3m7K891+POx1qe6/leaH0vdx1n/7vP5TW65VLU01K1AoFAIBAInhvhwQsEAoFA0IcIAy8QCAQCQR8iDLxAIBAIBH2IMPACgUAgEPQhwsALBAKBQNCHCAMvEAgEAkEfIgy8QCAQCAR9iDDwAoFAIBD0IcLACwQCgUDQhwgDLxAIBAJBHyIMvEAgEAgEfYgw8AKBQCAQ9CHCwAsEAoFA0IcIAy8QCAQCQR9i6fQCXgndMnO3lxHTgjcGsVdfOWKvbhznsl9NJlNPfCadWmc3vDfCgxcIBALBS6YbDNi50CvrXA+EgRcIBAKBoA8RBl4gEAgEgj5EGHiBQCAQCPoQYeAFAoFAIOhDhIEXCAQCgaAPEQZeIBAIBII+pKf74DcSSZIwODjIf69UKkin022PsdlsiEQiAIDV1VXUarUNXaNAQFitVlitVkiShHq9DlVV275vMpkgSRKsViuq1eqmbiUSdB6z2cz96vTnbKg3X+zVc0cY+HNkZGQEs7Oz/PdvfOMbeNvb3tb2mCuvvBL33HMPAGD//v04cuTIRi5RIACwZtx37NiBffv2IRaLYW5uDl//+tfbHuNwODA6Oordu3fjJz/5CXK5XGcWK9h0PJeh9vl8UBQFZrMZlUoFqVQKwJrht9lssFqtaLVasFgsKBQKaDQaHVl7r2Fq9fB1aKPUwd797nfj93//9/HmN78ZzzzzDILBIKrV6i8cijabDX6/HwCQTqdRq9Xw9NNP4/Wvf/2GrPPl0MMff0+xUXs1FAphcHAQKysr8Hq9sNvtaLVa0DQNF198MfL5PKrVKsxmM3w+HxYXF5FKpeBwOGA2m/HUU09tyDpfDmKvbhzrsV/PNuwWiwWxWIydp2g0ClmWYTavZY5lWcbx48fhcrmgKApKpRLMZjOKxSIqlQo0TUO9Xj/v6zxfdMN+FQb+BZ771ltvhd1ux/bt23HBBRfg29/+Nt72trfBZrOd03N885vfxD333IPLL78cAPC//tf/wsjICN74xjfiIx/5yLqt/aXQwx9/T7HeBv61r30tRkdHMTw8jFgsBlmWoWkafv7zn0PXdVx66aWYnJwEANRqNTQaDVitVqysrCCfz+PIkSOYm5vD/v378cADD2BpaQl+vx+Dg4M4dOjQuq79XBF7deM4n/uVnovC8M1mEzfccANWV1dhMpngdrsxPT2NwcFBOByOtsen02nY7XbIsox6vY58Pg+TyQRVVVEqldBqtVCv19n4y7KMarUKXdfP2/pfLt2wX0WI/izImJtMJrzrXe+C3W7n773rXe96Sc+l6zoUReGfO3HiBMbGxnDjjTfiwQcfBAA89thjWF5ePn//AMGmQVEU+P1+DAwM4Nprr8XWrVsRDAbh9XoRDodRKBQ4knTZZZfB7/fD6XSi2Wyi0WigXq9jfHwcxWIR+XweqqrihhtugCRJWFpagizLcDgcWFxcxNatWzE1NcWhU4HgXDCZTDCbzZAkCXa7HTabDY1GA6OjowDWapmAtehnvV6HyWRiYw4AwWAQzWYTwJpHr+s6bDYbFEWBy+WCyWRCtVoFsGZQ7XY7LBYLNE2Dqqr8s5sV4cH/P/x+P0wmE/7gD/4AH//4x8/b874Y73nPe/CNb3wD5XJ5w17TSA9//D3F+dyrDocDkiRhfHwc+/fvxxvf+EZs2bIFkiSh2WyiVqvBbrdD0zQ8/fTTMJlM2L9/P3tLkiSh0WigXC7z4w4dOoTFxUW89a1vRbVahd1ux9TUFB566CHMz8/jgx/8IP7+7/8e999/f8e8I7FXN45Xul9NJhP/kSSJL50+nw+6rmNwcBCqqqJer7OnXqlUMDAwAKfTyQbeZrOhXC5D0zRYrVYAa/tAlmXY7XaYzWaUy2UsLi6iWq3CZDLBYrHAbDZjZWWFvfxO0A37VRh4rB2YuVwOsiyfl+d7qXzlK1/BO97xjo68dg9//D3F+dqrFosFf/7nf45du3ZBURRIkgS32w1gLfRuNpthsVhQq9VQLpchSRIkSQKAtvBnuVzG6dOnsXXrVoTDYRw5cgQzMzO47rrr0Gg0YDKZkEqlcOrUKRw8eBCRSAThcBhHjx7Fbbfddl7+LS8VsVc3jpe7X6kSnjx3q9WKsbExvPrVr4bJZEKhUIDFYkGlUoHZbOYLqaZpMJvNvJfL5TIcDgfsdjuKxSJUVeUoAHnsdFG12+1wu93I5/NIpVIYHR1Fs9lEoVBAMpnE7OxsRxyobtivmzpE/8d//Md473vfy2GhTnHjjTfiZz/7GefqBYKzedvb3oZrr70WZrMZ4+PjsFqtHGpvNpuo1+uo1WqQJAkmkwm6riOfzyMcDgMAEokEotEoAKDRaKBWq8Hj8cDtdqNarSIcDkOWZaiqCqfTiZ/85Ccol8tQFAVWqxU//elPYTKZUKvVMDo6itOnT3fy7RB0GcYLgdlsxtDQEIaGhhAMBjE8PIxqtYpqtYpms8nGvFqtwmKxwOl0Ip/Pw+v18r427mmz2cypUlVVOUJFX2u1WjCbzQgEAnC5XNA0DbVaDRaLBR6PB7FYDNPT0x15XzrNpjPwDocDf/EXfwEAuPrqq7Ft27YOrwhwu92YmJjo9DIEXQYdlBdeeCGuuOIK7Ny5E/V6nT108pB0XUetVkO9XockSew5UHGSpmnswVCeU5IkWCwW9taN3v3CwgLnSJvNJnRdh8vlgtlsRqlUwtzcnDDwAgDtht1qteKCCy6A2WzmHLnVamVPvdlssodPXRtUGBcOh2GxWFAul3mPA2sG3egJU/ieCvYoUgCs7W1d19FoNGA2m6HrOprNJmw2G/9ebLac/KYy8MFgEJdddhk+/OEPd3opv4Asy7j66qv57+l0Gs8880wHVyToJLIsw+/34/LLL8cVV1yByclJOBwOVKtV1Ot11Ot1WK1W9qprtRp79LVaDTabjXP1dBGQJIkvBhS6V1UVFouFo1jlchmqqmJsbAyyLKNYLELXdezcuRMWiwWZTAYulwsnTpxAqVRiYafjx493+B0TbDRkXMmIRiIR7Nq1i9syG40GGo0Gh9SNYjaSJHE3ktlsht/v54too9GAy+VCvV7nCyj9rCzLbdFW6o2n6nwy/vS7AKw5UJFIhNej63pHc/MbyabIwdvtdphMJrzlLW/B1772tXVe1fnhRz/6Ed74xjeu++v08MffU5zrXiWjHY1GccUVV+CWW25p81harRZUVWUvnAw85dl1XYemaXC73VwFbzab+TlUVW1rV6I2I3rc4uIiLrzwQqTTaY4IFAqFNi+sXC7j2LFjOHjwIN7xjnfAZDLhN37jN9bz7QMg9upGci77lS6KADA0NIQrrrgCHo8HuVwO1WqVWzEp+kN1IVTESYZelmVIksRFnxaLBfV6HYVCAQD4kkoV83a7nVNH1WoVtVoNDocDwJkW0GKxiGKxCFmWMTAwAGAtr99sNpFMJvH444+vuzffDft1U3jwU1NTGBgY4FCOQNCtfPazn0U4HIbZbObcIql31et1+Hw+NBoNPljJu6HHKorChUqNRgOapvFjqWqZqoypQIn+v1arQVEUxONxuFwuAICmafB4PCxnazKZYLPZsHXrVnzzm9/E3/3d33W12IhgfaALwI033ojJyUlomoannnoKxWIRZrMZmqYBWAupz83NQVEUThlRG5vxUlqpVDjNZLPZYDab4fF4UCqV+DXJ+yaHjaIAHo8HmqZB13W+sNIFgC7B5OkDa4WqmyVU39cGPhqN4vvf/z4GBga4xUIg6Ebsdjte97rXwefzscdTr9eRzWbhdDqhKAqazSZ7Rkbdbgq3G3uOAfBjLRYLa9IHg0E26JqmwWKxsAdFsqCnTp2CqqoIBoMYHR2FxWKB3W7nXD8piF166aU4ffo0FhYWOvzuCTYKMuyyLGP//v1otVo4efIk74l8Pt9mgEk1sdFooNVq8YwEMrJUdJfNZvmiSkI1pGpns9k4307heYpI2e12rieh3wX6Wi6X47w7RRWKxSIymQxHCfqdvjbwsizjVa96VaeX8bLYunUr/uiP/gif+cxnuiLUI1hfbDYbrrrqKrhcLjbWJpOJDz5ZlvnQNBbEAeADEzgTzqT/N8qD0kFbr9c530lFdPl8HrlcDqVSiS8WW7ZsQSgUQqVSQSaTafN6qEq52WzCbDZjZGREGPo+h/akzWZDIBBANBqFJEnI5/Oo1+twOp1c4EY0Gg0WsaEcuNVq5bQSDUIyGnaLxdKWnzcW6AUCATSbTb7UyrLMhXyUBiA9CIvFAl3XuXq/XC7DZDLB5/NBlmVMTU116q3cMPrWwAcCAezatavTy3jZTE5O4hOf+AR+/OMf4/jx41yoIug/XC4XtmzZgosuugg2m61topau61x4ZLPZ+E+9XudDz2638zAOYO0grtfrfCkAzhQj0SGqaRoXQsXjcZw+fRpLS0toNBqYmJhArVZDtVpt6yWm0GcoFOJCP1p/LBaD1+tlb07Qf5CIjMvlQigUgizLnLaRJAmKorARp70pSRKcTie3xFF7HIXajcJM1WqVBW2oB54KQykt5Xa7ObxPF1u6DNBFgAw9AC74o6iW0+mE0+mE2WzGqVOnOLLQr/SlgTebzbj55ptx6623dnoprwhFUfDEE09gz549oqK+TzGZTLjiiivwoQ99iEU9KMxutVoxMjKCqakpBAIBDn3abDb+f7PZDKfT2VZwRO1C5N1QaN9qtXJvsdVqxejoKIdFPR4PLr/8clx88cX8vKurq5idnYWiKFAUBc888wxCoRAuueQSzM/PY2JiAlarFZlMBjabDXfeeSde/epX4+jRo51+WwWvEEoBnf33cDgMr9cLi8XC+XGq16jVanA6nVhZWYEkSfD5fBgYGOC2OCoQTSQScLvdaDabXFRH3jx1iaTTaUQikbacOwBks1n4/X4O39PXqT2OLgTUIkfV9CTrTOkml8uF0dFRLC4udoVu/XrRlwb+61//Ot785jd3ehkCwYvyvve9D5dffjm3/5D2Nh2uuq5jeHiYw5DkwRsPPRK2oa9Xq1XMzs4inU63FSMNDAxwHzxVJDebTc6zS5KEeDzO3n+r1YLf78fdd9+N48ePc0W0JEkIh8Ow2+0oFAooFAowmUz4wQ9+gGKx2Mm3U7CO0H7z+XwYHh5GPB5HsVjknneHw4F4PM57lbz5RCLBXRrAWtuaoiio1WocFdA0DaOjo9yvTh441ZCYzWYUCgVks1lks1k4HA723AOBADRNY2NeKpXYY6ciVa/Xi0Ag0FZ0d/311+Mb3/gGstls33rxfWngaaiBQNDthEIhuFwuPpQsFgsXDFFLELUAkYEHgEKhALvdDqfTCQAolUpsaAHw81DRkcfjYeERY9g+lUpxSx3petdqNbhcLtRqNZRKJcTjcVSrVfh8Pg63kpdfqVRQqVQwODjI87wF/QldLqk1kwbHUE1ItVrl/UneeC6X45ZMikxRZIm8dcqfU26eXkvTNK68N5lMcDqdKJfLfNGkYTNUXwKA5y2oqsqKdpTuIuj34uGHH/4FIZ1+o+8M/Hvf+15W4eplFhYW8P3vfx8AkMlkOrwawXrw2te+FqFQiA+pfD4Pv9/Ph5XVaoXNZuMCOvJGPB4PnnrqKS4aAtZa4GRZhtPphMvlgt1uRywW43A8TZGjw428JGO+02QyQdM0HuRRKBSwsrKCcrmMYDAIv98PRVEArIVj4/E4kskk4vE4CoUCZFlua2sS9AfG4jrytpPJJHd6GI00FV7ShdFYDU9CNJVKhavYyfM2ijbRRZcuDdS9kcvlUC6X4Xa727QcqCMEAP8sXT4ogkVpBOqRX11dxfz8fF+H54E+M/Bmsxn/8A//AI/H0+mlvGKOHj2KD37wg51ehmCdMJlMeOc73wmbzYZmswmHw4FUKgWv1wtd17mnnTxxKiiiArpjx45henoahUKBjfTIyAiLeoTDYQSDQRSLRa54J++HwpeNRgMej4d7lIG11jo6DDOZDKanp1Gr1bBnzx44nU54vV5IkgRN0zA3N4dEIoHl5WUsLCzgvvvu68h7KdgYjLUepVKpbZQ21YJQHpzkYalojtJIlUoFuVwOiqLw5UDXddTrdfakbTYbrFZr26CZUqmEVCqFarUKv9/Pmg4U5aJ2PPL4Sd8BWJMn9/v9bNxTqRTuv/9+0SYnEAjWD+p3J69jZGSEw5TkYZPn5HK54PP54PF4cOWVV8LtdnMF/ate9SqEQiGMj49zhTDlJcnrIpEc6lMmDXsKyxtHcFJofm5uDidOnIDD4cAv/dIvcWU9tURRmFSkw/obMrzbtm1jo0heMkWQKPRO+4PC5hRyp8gPFY5WKhVOH9ntdp4uR33rND2OOjkajQbGxsaQTqdRKpWQyWRQrVZRqVSwdetWeDwe1johYShFUeD1euHz+XiNlNMHfrGQsB/pGwO/Y8cOPPjgg6ziJRB0K8PDw/jMZz4D4EyunMKchFHic3JykvuFZ2ZmcPHFF6NUKrEGeKFQwPT0NB599FHs3r0br33ta7nPndrnNE1DPp9Hs9nEysoKTCYTLrjgAj78AHAIP5/P48SJE5iamkKtVsOf/dmfAQALiZTLZUxPT6NarWLHjh1QFGXTTuvqd0wmExRFwa5du7hN0iiURJc9GlxE7ZvkhVMovVgssqgSsFYnRY+lMbHGVk/qcw+HwxgbG0Oj0cDs7CyGh4dRr9fb5HADgQC34ZGGPVXaU6tdIpHgtjxjykAY+B7BYrHwaMxe5wtf+AL+4z/+o9PLEKwT5HnTAQWcEfSgojqHwwGPx8OtPOVymeU49+3bB6fTyZ52Op2Gqqp4zWteg127dsHhcMBqtWJ5ebltCA3lP5vNJhfL3XXXXXjd614Hl8vFr5/NZpFKpWAymTA+Ps6Gv9lsolQqIZlMYmhoCLFYDD/60Y/w6KOPdvgdFaw3lG+nUa/AWjrH6/VyOJyiQMVisa34zeFwcLGdsTvEWFAHgGcs2Gw2vgh4vV54PB7ee8VikSvpC4UCarUaEokEvF4v/97QICbKw6dSKa4RSCQSWFhYaEsJ9DN9Y+D7iccffxz3339/p5chWEfo8KNeXfImqFUuEAhwLcnS0hJKpRKPdR0aGuJQvKZpWFpaQrlcxrZt2xCLxWAymZBIJFCpVLg3ngZ9VCoVRKNRuN1u1u0mURJKFyQSCSwtLaFWqyESiSCdTiMQCHCLndPp5Ja7bDaL+fn5Dr+bgvWCCuwAsFGkmhAymmeryFGo3NiXTqF3moVAfzeOfTW+JhWD0veouJREn0igxmQyoVwuw+fztXnldJnQdR2FQoEvJjMzM1hcXBRa9L0EFVH0A5lMBqqqdnoZgnVClmW43e62SnbjXGun04lIJMKFbk888QTm5+c5PKooCntEPp8Pg4ODiEajiEQi8Pv9rAz2+OOPs8iIpmlIpVJYXl4GAFadkyQJr3/969skZ3Vdx5EjR3D8+HEWA1ldXYUsy2g0GvB6vRgfH0ej0cDTTz8tqub7HDKutDeo88JisXAUyNg6R21qlKuXZRmpVIoL7YwheHpeAG2V72TYKZpEtSL03CRiQ3ubnqder7PUsrFKv1Kp4Nlnn+VoV7lc7tj7udH0hYH/3d/9XfzVX/1Vp5dxXjhw4IDwiPqYm266Ce9973tZXc5iscDhcMDn88Hn82FkZATxeBwLCwtQFAUzMzPw+XxQVZV14x0OBzKZDE/gogr6eDyOWq0Gr9eLYDDIamNk3KvVKnbt2gW73Y54PI50Oo0DBw4gEonwBK9ms4nDhw8jHo8DONNfT6FWmgZWrVbxR3/0R1hZWenwOypYD8gQRyIRjIyMAAB/7iaTieVonU5nmzANdWFQNbvP58Pk5CRyuRwbZlmWMTs7y7r1lCun11RVFclkEg6Hg8WaSAVvbGwMW7duRbPZRDweh8lkgsfjgcfjYb2IcrnMNSuqqqJSqcDv92Nubg6VSmVThOaJvjDwn//85/Hkk0/irrvu6vRSXpB3vOMd2LFjBz7xiU90eimCDvHDH/4Qs7Oz+NSnPsVhcipacrlc8Hq98Hq9KBQKOHXqFEKhEB9IFNYsl8ts5FOpFPbt24darYZoNAqr1cpqXk6nk6e9tVotXHTRRQgEAohEIggGgxgcHMT3v/99JBIJXH311bj88ssxPT2N5eVlrKyswGKxoFarIRgM4uc//zm2bNkCl8sFVVVZ9lbQ31D6iMLuXq+XhWro4kcFceTJb9u2DQDYox8eHuaRrhQpSqfTLENrLIw2yis7nU6uO6GLbKVSQaFQQD6fh9VqhdfrxczMDDRN40r9VquFbDbLRaaUw6dUAtW9bAb6wsDn83ksLi52ehnPS7PZxEc+8hHs378fl112WaeXI+gg5XIZyWQS9Xod5XIZLpeLc5IUKq9UKshmsyiVSizEQb3rmqbBZDJxe1q9XkcqleJCp1qtxp79kSNH8NRTT0FVVUxMTGB8fBwOh4PFSiwWCwYHBzE1NYXvfe97OHToECYmJrCyssIVzUtLSzCbzfB6vSgWi3zYBoPBTr6Ngg2iWCwikUhg165dPG+dquFp/1G+nKa4UYidBtAEAgHIsoxMJoNisQibzQafz4dEItE2zpg8bgDcrmkcg2z05BuNBivc6bqObDaLarXKaxgZGeG5DMViEYVCgetNNhN9YeC7HZqZvGfPHmiahp/85CfP+1iRf+9/qLiNPGDj0IxsNsujW2m6VqPRYJERUq8jgZpKpYKTJ09C13V4PB4+KHO5HB577DGsrKwgHA5jdHQUPp+PR2iqqgqLxYJAIACXy4VDhw7h5z//OW688UYEAgGUSiVul1tYWMCuXbuwurrK6wwGgxyWFfQnJpOJ9xLNYjfOMqCcOUFFdLQvSKxJURQ0m01ks1ned4qicF6evGsSvSHlRV3X24o/CQrt04VWlmUUCgXura/X6/B4PCgUCjyFM51Oc7HfZqJvDHyj0UClUuEwTTchSRK+973v4ZprrhFqXwIOs4dCIQ6B0sG0tLSEarUKVVV5GEwul+MiJJqa5fF4kM/nMTc3hyeffBIPP/wwV9HLsoynnnoKBw8eRCgUwtatW/G6172O9bmLxSLK5TJKpRJarRYGBwcxPT2N06dP44knnsCv//qv45//+Z9x/PhxXvMDDzzQwXdM0AmoGp1azYLBIBtkUo6jVA158rVaDaqqcuSJ9jhdamlPt1ot+Hw+NuoUrXI4HKys6PP5UC6X2bgbDT7pR5RKJXi9Xpw+fZoFmxqNBubm5vjiYLPZ+l5z/vnoGwN//Phx+Hw+pFKpvpCqFfQvS0tLeO9734uvf/3rkGWZPZ/V1VVuA6pUKlxo5PV6WYvb4/GgWCzitttuQ7lchsfjQTAYhNvtxuOPP86T4A4dOoTJyUm85z3vwf79+1kEhIbD0Ixt6j0mWdzjx49zr7tgc2Occ3D06FHs2rWLhxCRd+zz+VgZkYrtcrkcXC4Xj4SlSJTT6UQsFkM+n+foQK1Wg9lsRiqVaosuybLMbZ3U5mlsJ61Wq6yaR21wxscQ9Lu0WekbAw+g64onPve5z+HWW2+FJEl46KGHOr0cQRfRaDRQq9VQLBZZrnN6ehrhcLhtqIwkSTh48CBXMyuKgiNHjnCL0NzcHGZmZuB0OhEMBpHNZjEzM4NGo4E3v/nNGBwc5FC8oig8tc7v96NWq+Fzn/scZmZmuD2T9MK77XdJsPEYizs1TYPL5UK5XGbDSkqLZNgpuhSPxzniNDMzg9nZWdjtdjQaDTbMJGtLOXin0wmHw8GRrGKxCKvVikqlwqksm82GWq2GfD6PdDqNQqHAAmfUbrfZcuwvRl/Ndmy1WviLv/gLnDx5stNLwT//8z8jkUjgNa95DZ588kmx8QRttFotfO1rX0Mmk4HL5YKiKDysg7Syk8kkbDYbJiYmYDabcezYMdx5551YWlrCwsICstksq9NZrVZks1nONVosFkSjUQwPD2NgYAButxterxdutxuRSASSJOG+++7D7OwsVlZWuJ+ddMDFfhUYaTabWFhY4D5zo0iTUXTG4XCgVqshnU5jfn4ex44dw+rqKpLJJP/J5/Psdeu6znly8vbz+TwymUxbIR8JNhUKBWQyGW6F03X9F4bVCM7Qdwb+rrvu4h7eTvL5z38eJpMJv/Vbv4VWq4UjR44IURBBG0eOHEGz2YTb7YaiKAiFQigWi1xJf/ToUaTTafj9fpTLZTz11FO48847sbq6irm5ORQKBe6hDwQCyOfzLBNKFfmRSISFc2i4h8vlQqvVwhNPPMFynwA430oVxwIBQR0VJBJDwjeUf6eID02Yy+VyWFpaYpnlUqnE4XYSoKGfo8I9MuRkzK1WK9xud9tAI6pfAdYEzijNtBkr5M+FvgrRm81mPPDAA12RgzeqNDUaDVx99dUAzmiOCzY3JpMJf//3f89SnqSf/fTTT2Pnzp1YXV3FD3/4Qzz99NM8Ya5UKqHRaGBhYQHFYhF+vx8DAwOYmJhAsVhELBZDq9VCPB7nQiM6eKm6nkKpgUAA73vf+/DpT3+aQ/LUPy8uooLnwu/3c8EbRZmMIfp6vc7tbQDYQNN5R8Vz5PUXi0UAaBvtSkqPpPkQDAYxNDSEZrOJZDKJsbExzqnbbDZMT0+jWCyKlNLzYGr1cFzDqF8MrG22bDbbFQZe0zRIkoSnnnoKr371q7G6ugpFUfC5z30OH/nIRzq9PKaHP/6ewrhXzWYzPB4PotEo9wv7/X789m//NkKhEJxOJ4C14iaXywVN03hE5qlTp/Bv//ZvsNvt2LZtG7Zu3cr50HvuuQepVIonvr397W/HVVddhcnJSQSDQZ6xnU6nkUgkkEqlsLi4CL/fjyNHjuC+++7DI488gsHBQZ7F3U3FdmKvbhxna8O3Wi3s27ePp8kB4JGsFB6nWQokVkM97KReRyF3CrtTtIq07Wu1Gux2O0+iI+/eONyGquIpXD87O8tFeJSb7xa6Yb/2lQffTVBIafv27bjnnnvg9/thNpvxa7/2a4hEIviN3/iNDq9Q0ElarRai0SiuvfZant0eDodhs9l4IlY2m+XWI6p0DwaDuOWWWzA/P4/V1VUcPXoUwWAQjUYDV111FQvf3H333bjvvvsQCoXg9XpZEtRsNqNYLKJYLLIMKA2V2bdvH3K5HI//9Pl88Hq9YhSsgLXjSdGuVqvxBEIywNSbThdUCrnTzwJrIfZCocChdovFArvd3jbqlfL5VJhHP2cymdh7J0M/NDTE4ksej4fVGwm6qNBFY7PRNwY+EAjgXe96F48Z7BZcLheH54G1WeBvfOMb8aEPfQhf+MIXuMDE4XDgAx/4AP71X/+VQ1eC/sTpdOLaa6+F3W7Hli1bEIlEuFCOqFariMfjcLvdnFO32+0IhUJwu93weDzwer1IJpPweDwolUrw+Xyw2WzweDzYs2cP8vk8jh49yj33e/bsgd/vZ8lQ0u+WZRm6rvPPX3nllchms4jH49B1HeFwGKlUij0Sm82GG2+8ET/84Q83dQtSP2McDCPLMkZGRnjmOxlyamsD0GbEAbTl2an3nSRvSXCGnod+nsL8BBl18uTJkGuaBgCssEg5eJvNxr3xhUKhLT3lcDg25bnaNwY+FovhH//xHzu9jHMiFArhn/7pn/DII4/g2LFj3M/82c9+Fnfeeeem3IibCZ/Ph9/8zd/EE0880TYHngqLKBe+vLyM3bt38+Fn9MLHx8cRiUS4b/7w4cPs+Xi9Xlx77bU4deoU5ubmcPLkSbhcLjQaDezatYtFQgYHB7lqv1Qq8aCQt7zlLTh27BgOHz6MXC6HsbExFItFaJqGVqsFp9OJj370o3j44YeFgd8E2O127N27F/F4nAVtKEJJl1Iy+FR0R/UeFosF+XwemqbxnHeLxcIRKdrvlJOnlBX9LF0IqNqepjDShYJEbGjCHV065ufnWfjGbrezOmM3hM03kr4x8L3IwYMH8au/+qu44447fqGeQNC/SJKEQCCAG264ATMzM8jn8xgYGICu61zpLssye9qKovBULMpT0h+Px4N4PI4DBw5AURQkEgksLCxg3759uPLKK7G4uMiDN77//e9jamoK+/btw8TEBHRdx/DwMOr1OqampnDkyBF8/OMfx44dOxAMBrF161bMzMzg29/+NsbHx7G4uIhSqQSz2YxgMNgmHyroL842hCSVbKxmt1qtfOGkUa00XwFYi0o6nU4uDqVizkgkwlEj0pQvFousdkez2x0OB4+KpchUoVAAcCbCUK1WuShUkiSYzWZEIhHY7XaWcI5Go9i6dSvi8Th7/5vF0PdNkd3u3bvxzDPPdHA1L49SqcQb2u/3I5fL4cMf/jBuu+22DXn9Hv74ewrjXh0aGsKnP/1pxGKxthxhvV7H5OQkH3KNRgOaprF6XaFQ4EuAUbJTkiScPn0aIyMjkGWZh8FQaxKFKqvVKo4cOQJVVTl/OT4+zp744OAg3vnOd3IfvNlsRrlcxpe//GWoqooTJ07A4XDg8ssvh6IoGB8fxz/+4z/izjvv3JD3UOzVjcO4XxVFwb59+2Cz2fhSR0JNkiS1TYkjL55SpYlEgoWWCL/fj0AgwKNbqcODCkrp8pDP5zmFSXve4XBwEXW1WmXBG/oazZOnwjtStxseHsbDDz+MYrG4YS2g3bBfhQffYVwuF1wuF/L5PH71V38VAHDo0KEOr0qwnmiahuPHj6NSqSASiUBRFM6zu91uuN1u9pTuueceziE6HA4OpVPuEgB79TTpS1EUrjR2uVwwmUzQNA2pVApbtmzB8ePHeYzs008/jUsvvRSxWAySJOE73/kOrr/+ep5wJ8syXvva1yKbzcJms0HTNGiahi9+8Yvw+/2Ymprq1Nso2ADoIknhdF3XWRaWcvLUg05ytcZWYNJfcDgcsFqtfAkwToMz5vspjy/LMv+sJEmwWq0czqc10ahZmnJIUS0aQkN/6vU6Tp06xVPoNhPCwHcJ1WoVd9xxR6eXIdgAqNKYDkoKQ5JUJxl3AHjkkUfgcrkwMDCAWCyGgYEBVrADznhSTqezLbxJMp42m42Fc1qtFvx+P6LRKDRNY8WwoaEhjI6OolgsYmVlhV+bFMqGhoY4/L+6uorV1VUcOXJko982QQep1+usUkcDXYxjjgnaM2Tg6XuUW6e/k/dPhp2MtlE7xGKxcEeJcaws9dnT3qd10GuSXj0Azs3Pzc3xuNvNRN8Y+Hq9jng8jkgk0pP5bLPZjGg0imQyuSnbOTYTsixj69ataDQabf2+5CGrqgqHwwEAuO+++5BOpzEyMoJLL70U73znO+FwOFijmw4sr9fLIjWqqqJYLGLr1q083SudTnMuc/v27RgZGUEqleJKfSqO2rJlCw+/MQ73sNlsnFtdWlqC3W7n8KmgfyERm2QyCbfbzR41fQ8AX0xJNpZGwlJuHgBfMG02G0erdF1vC+3TBcD4HFQAWi6XIcsygsEgqtUqF93R1wHwACUAXLhHPfnG9W4m+iYHD3SX0M3LZXx8HPPz8xv2ej388fcUZ+9Vk8mE22+/HR6Ph0VCfD4fNE2Doihwu90IhUIIhUK45ZZbMDc3B0VRsHPnTnzgAx/gUD2JiAQCASQSCaysrGBpaQm5XA5vectb4HQ6Ua1WkUgk0Gq14HA4YLfbYTKZUCwWWeKWtOrp9ck7ohGdrVYLqVQKJ0+exMGDB5HL5fCd73xnQ6voxV7dOMi7pvfcbDbjuuuug8fjQSqVwvT0NJxOJwKBAO8nKpqrVqvcskZ5chKwcTgcbKRJ/IbmzCuKwt0iJHlLIk/GEHy5XObQfqVSQbVabYsE0PNQ6J7EdI4dO8ZFdhtBN+xXYeC7jOXlZXz0ox/FV77ylQ15vR7++HuK5zPwFJqk8CeF5yVJgtPpRDgchizLyOfzWFxcxCOPPIIDBw5gbGwMNpsNpVIJhw8f5oIkylFSaHLv3r2IRqOci/T7/SxkU6/Xea48hVYp5ElFfgC4mrnZbGJmZgY//elPkclkoCgKHnjggba58euJ2KsbB0nQElarFVdccUXb4Be3241KpcIeuCzL7DVTrr7VanHxHHnpqVQKExMTv/A7Qep3lHM36tqrqgq73c599xTqp7kJFAmjdrxyuYxsNotarQZZllkrYmlpCfl8fkPew27Yr31l4AHgN3/zN/GRj3wEe/bs6cCKzg8PPfQQvvGNb2xIX38Pf/w9xXPt1euvvx7XXXcdxsfHYbPZUK1W4Xa7uX/X4/HA7XYjHA6zN5RKpRCLxaAoCqrVKpaXl3H33Xcjl8uxN68oCgKBAILBIBfuxWIxzsmTd0WFUaVSqS1/ef/992PXrl3w+/2wWq1c4W82m5HP5zE9PY1HH32UQ6JLS0v4yU9+su7vodirG8dzOU/RaBTRaJTlaimtQ+F4SgFRnpwq2j0eD+/pZrOJTCaDwcFBLrKjwjy63JKeA+XgM5kMNE1DKBRqq9inLg9SY6TXtNlsHFlqNps8tc7tdmNhYQHxeJwvw+tJN+zXvsnBE7fddhu2bt0Kk8mECy+8sNPLeVlceeWVcDgcePbZZ3HPPfd0ejmCdeKee+7hYRyjo6MAwG09NIOb1LxoXvbY2Bh8Ph8retH3UqlUm+Y39cinUik+3MgTr1Qq7HFR6x31IKdSKSQSCUxOTnJfMaUCJEmCoiiYmJjA0tISMpkMYrEYRkZGsLCwICrq+5hms4mVlRXOiweDQZTLZW5fA9aiTpQPJ8NNe9FY10E1H1RVbzKZIMty28WAnpMunvQ4ijyRgafnpsdQON7pdHKBKSnbKYoCv98PXddRKBRQKBTaKvj7kb7z4In3v//9+MIXvrCBqzn/lEoleL3edS266+GPv6d4ob16+eWX493vfjcCgQAajQZ8Ph+sViv3o5OcLBncUCjE1cb1eh35fB4//vGPUSqVoCgKwuEwDwGhn6HqfLvdzocrVeRTeDOdTuPee+/FzTffjIGBAT4gs9ksV0GTN09SoDTbO5fL4WMf+9i67iexVzeO50op0fs/NDSEffv2wWq18nhXqu8g4Ru6qJLOPEnOUmFpNpuF3W5vU6AD0KY+Ry1vlC6innujh2+z2ZBOpxEMBmEymTh9QCkv6lSRJInnzZfLZWQyGUxPT3MqYj32Vjfs177z4AWCXsPtdmN0dBSSJKFSqbBUMYU+8/k8H4ZU+ObxeLia2eFw4K1vfSscDgf3u6+urgIAT+wiT4eK7FwuF/x+P2ZnZxEIBOD3+zE0NIQdO3ZAVVVks1m+FFBLHymGORwO2Gw2eL1eeDyetjUL+hNjEVs8HseDDz7IaRzq+ADAeXC6gFLrJek7kCY8pYmocp6kmmmfkrHWdZ09fbpM0CWCxs5SUShwRs2OZjvIsoxWq8Vy4FarFU6nE8FgENPT0+tm3LuFvvXg/X4/XvWqV+Huu+/ewBWdX4QH3z+80F51uVyYnJzEpz71Kfzrv/4rrrjiCkxOTkLTNDbq1G7kdDq59efsgSDk8ZCnQpXQlMuUZRm5XI4P11qthkQiAafTyY89O6/aarWg63pbfhQAt+rRQV6pVHDDDTeIvdonvNB+JTllysd7PJ624lDjz5vNZqTTaSiK0qYf73A4OMxutVo5LUW5c2rJpOp8GlxD6SXjCFmv18sjZslTp4p+eo5UKsV7nnL+R44cQT6fX7c92w37tW89+Gw2i0cffRT/43/8D/zxH/8x3G53p5ckEDwnpVIJJ06cwG233YZ9+/ZhaGgIdrsdkiShWCzC6XTygdVsNjn8aRQFqdfrPKyGPCKjd6JpGsrlMufbTSYTFygZR3RSz7Asy3xQkqdEeVBg7WCdnZ1FOBwGAB52I+h/aF/k83l4PJ62/WFUWKQOEZfLxfuSLqZnPx/9l/YfidtQ37wkSRymJ8U8EmsiASf6ubPb5mgdkiRx2orqUfp9z5pf/CG9S7FYxF/+5V/iwQcfRDqd7vRyBILnRVVVfOMb30AoFOKxrSQ3SwcjHXLk0VNrG7DmQZOMLBXnNRoNFgTJ5/NIJBIc4qfhNfQ40gSng5jmZ1MEgKIF9EfXde4zzmQyePDBB/v+sBScycVTnzlFfCjCZKxwNxbCUXcHyTJTRT2NgSVvm36GDDg9LxloGnhjVMGrVqu8Btr/dBmmxxhrUGiinaqqfb9n+9rAE29+85vx3e9+d8OGDJwP6BAVbC4++MEP4uGHH0az2US5XIbVakWlUmn7Qwac/pw967parSKXy/HBR4enLMvw+XxwuVwsPFKv19mjajQaUFUVqqqyuAhwRu6TWqOoevpVr3oVIpEISqWSqKDfJBgNoq7rOHr0KJaXl1EqlVCr1ZDJZACAjbexwp5y7vR3ikapqsoqeGScqRuELrQkVUvFdeSFj42NcQsodXkMDg5iYGCAK+ldLhfXnlBki2pU+p2+zcGfjdVqxS//8i/j9ttvX8cVnT/uvvtuvOUtb1l35aUe/vh7ipeyVy0WCyYnJ/GWt7wFF110ERceUfERCX5QKJ56hY3KYMbwOnlJsizD4XBwLjKTyfBITwrxU6sSeTpUtJTNZpFIJOD3+7Fv3z6k02m+hPzsZz/Dn/zJn6z7XhJ7deN4qXLfdrsd4XAYY2NjPFvBbrfD6XRCUZS2Njny5nO5HGq1GqvP0eOMLaDk6FB4nkR0KF1UrVZhMpkQCoW4Yp9SW7T/KfJFanm5XA733nsvV+SvF92wX/s2B382tVoNP/3pT3HVVVcBAL7yla9geHi4w6t6fkigQbD5qNfrmJubw5e//GXceeed+PCHP8zqjE6nE61WiyuLdV1HIpGA2+1mD4cOLupDpsdSdTOJfBjznVRxTN5TuVwGAK7W93q9ANbGf/7nf/4nV1AnEgnE4/GuOMwEnUPXdSSTSRSLRUQiEWzduhXRaBT1ep2LP5PJJPL5PMbGxqCqKufEa7UaUqkUFEXhyynNOXC5XLwvjREBSluRYBNNiqPaFRK3AcAXAbPZjEwmw/M+NsOe3TQGHgDS6TQeeughAMD//t//G+FwGMPDw3j729/e4ZW1c88994jJcpucarWKpaUlAMBdd90FRVEQCoVwzTXXcI6S8uSapsHn83GBE+Uv6bAD0JZrp6IlAG2FUSQ4Qs9LuUoqoHK5XNB1HeVyGcViEbVaDQcPHsTBgwc78A4JugkyyuRdkyDN2NgY14/QPqM9R7K0VExXLBbb+uZpz1KhHL0OQZfYSqXChXzUdUKvT0acwvyapvGgps3ApjLwRv7qr/4KAHDxxRdj//792L59e4dXtMapU6fwhS98AV/72tc6vRRBl/Cd73wHADAxMYGJiQmEQiEuODKbzRxKp8OPvCLS8gbAM72pipg8faOBp8hAs9nkWdxUUEUV9kNDQxgaGsLx48dx/Phx3HvvvWJ0rKCNTCbDnnIoFOJKewAsK2s04DSLgTTiqaWTCuVov9LPmM1mFs1pNBrI5XJwu90crSI9enp+GoBTKBTQarVYmXEzsGly8C+Ew+FALpd7zhaOjYI+hvHxcZw+fXrDX1ewvpyvfSVJEn7lV34Fk5OTCIVCCAQCCIVC7J1XKhWUy2UMDQ2xbCflMj0eD0+HMyqL0WXA4XBwDpQOUXr80NBQW05zaWkJ733ve5FIJM7Lv+tcEHt14zhf+9Vms+Haa6+FxWJBpVKBqqpQFAUAWDiJvG2Xy8XFdNRX73A4eK9Wq1UeJ2ts7cxms6zeSBdfSg1UKhUsLCwglUohl8shn8/zPPn1phv2qzDw/w+fzwcA+MhHPoKPf/zj5+15z4U77rgDH/jABwCsTUfayNtlD3/8PcX53Kvkub/2ta/FG97wBgwPDyMQCODo0aNQFAXbtm1j78dsNvN8+C1btqBUKnFolAw9CeooigKn04lGo8E981RZXyqVMDk5iUceeQQf+9jH0Gw2ecb3RiH26sZxPvcrFcf5fD4MDQ1h7969yOfzKJfLbXoOALjjg/Yj9aqTgadxxnRGkq69MfVEe7hSqWB5eRnHjx/ny8RG0g37VRj4s5icnMSuXbtgNpvx1a9+tS3MuR58+tOfxte//nUcPnx4XV/n+ejhj7+nWI+9GgwGEY1G4XA4cO2112JiYgKxWAzBYJAL8ACwApjP5+MQPeVEaZQniYFQ8R0VL5XLZcTjcTz11FM4evQonn32WTzzzDPn/d9yLoi9unGc7/1qMplgs9mgKApcLhcuu+wyLvgkp4Y0F4C1zzoSibDmAxl0urgC4PQUADbyVH/idrtx7NgxLC8vo1gsdmTvdMN+3bQ5+Odjenoa09PTMJlMuO2229jAu1wu3HzzzeflNYrFIr75zW8CWPPeO2XcBb1NOp1mASeLxYJUKoVgMAiPx4Pdu3cjEAhw/zp5SnQgAuAeejoYycjTYaxpGorFIu655x6cPHkSR44c2dCQvKB/IMOraRoymQwGBga45a1SqSAQCHD6BzjTR0/iNQA4xWQUxaHHUuEcpakymQxWVlZQKBQ68w/uEoQHf44MDw/j0UcfBQAEAoGX7NmvrKzwjW5+fh6XX375eV/jy6GHP/6eYiP3qsfjwfvf/35cdtlliEQiMJvNKJVK3HJE8rSapmFkZIRDpTSIY3FxEZIkoVQq4dlnn8Uf/uEfbtjaXwixVzeOjdqvVGC3a9euNj15atukdjer1YpgMMjV8HQRbbVayOfzWF1d5VY4i8WC48ePd7yQrhv2qzDwL4OvfvWrL6m1rl6vw+v18iCFbqKHP/6eolN79ZZbbsHevXuRyWQQj8fxhje8AZFIBM1mE0tLS7DZbIjFYtwTDwCXXHIJ9yF3E2Kvbhyd2K8OhwNDQ0MYHh7G6Ogo975Ho1GYzWacOHECPp8PpVIJDocDiqJA0zTce++9SKVSXdf61g37VRj4l4Hf7+dK0HOh1Wq1efDdRDeuqR/p1F51Op3c+kZCIMYhNcawPNGtYXixVzeOTuxXKvqkAjuam0DjYamjw9jWaTKZoKpqx73156Ib9qsw8JucHv74ewqxV185Yq9uHJ3er1Q30st0w37dFMNmBAKBQNA79Lpx7xaEgRcIBAKBoA8RBl4gEAgEgj5EGHiBQCAQCPoQYeAFAoFAIOhDhIEXCAQCgaAPEQZeIBAIBJuOTrcCbgQ93QcvEAgEAoHguREevEAgEAgEfYgw8AKBQCAQ9CHCwAsEAoFA0IcIAy8QCAQCQR8iDLxAIBAIBH2IMPACgUAgEPQhwsALBAKBQNCHCAMvEAgEAkEfIgy8QCAQCAR9iDDwAoFAIBD0IcLACwQCgUDQhwgDLxAIBAJBHyIMvEAgEAgEfYgw8AKBQCAQ9CGWTi/glbAZ5vmuN2Ja8MYg9uorR+zVjUOSJLRaLfGevwK64b3raQMvEAgEgvNPs9ns9BIE5wERohcIBALBumIymXoyitWLazYiPHiBQCAQrCvdEK5+OfTqugnhwQsEAoFA0IcIAy8QCASCNno9NC1YQxh4gUAgELTR66Hpc2EzXGKEgRcIBALBpmMzXGKEgRcIBAJB17MZPO7zjaiiFwgEAkFHONtok1dNXzd62ZvB4z7fCAMvEAgEgg3jhTxx4aWfX4SBFwgEAsGGYxS/MZlMaDabMJlM7Km3Wq1f8OSf7+/GxwtP/wzCwL8Afr//Fd0oK5UKqtXqeVyRQPDcWK3WtsPS+F9g7fB7IX3xer2Oer2+MYsVbDqMe5L+32q1QpIkmM1mSJKEWq3WZsBbrRYajQb/vdlswmw2o9lstu1huhzQ4wRnMLV6+B1Zz3COJEnIZrNwu90v+zn+5E/+BJ/61KfO46rOPz388fcU67lXTSYTfvmXfxl2ux1WqxWyLMNqtcLpdMJqtULXdeTzeezduxe5XA6VSgXNZhNWqxXlchk2mw0PPfQQHnrooXVb4/lA7NWNgwzxK3nPz97zJpMJVqsVsVgMALBlyxYMDg4iGAxClmWsrq6i0WjAarVCURQ0Gg0cO3aMjXo2m0W9XkcqlYKmaWg0GqjVaggGg9B1Haqqolqtdo0X3w1rEAb+LD74wQ/iD/7gDwAAk5OTr+g1MpkM0ul029f+/d//vauMfg9//D3FeuzViy++GJdddhmq1SrsdjvMZjOsViusVitUVYWmabDb7bBYLKjX6/B4PGg0GrBYLPy4RCLBB6Ou65AkCc1mE8vLyzh16hROnTp13tf9chF7deN4ufv17IuBJEkcGXrVq16FK664ArquY3V1FeFwGA6Hgx9vNptRrVbRarUgyzJkWUatVoOu69A0DbVaDZIkwWq1AgB79z6fD3a7HXNzczh48CCmp6fPea3ruae6Yb9u+hD9xMQEfvd3f5f/fumll2Lbtm3n5bkDgQACgUDb126++Wb+2v/8n/8TlUrlvLyWoP/x+XzYv38/Go0GzGYzYrEYHA4HHA4HdF1Hs9lkD8hut6NcLrcdMoVCAZIkscGvVqv8eEmSoCgKzGYz6vU6otEov046nUYul+uKA0vQvZDBNJlMsFgs8Pv92L17N5rNJhRFgc/ng67raDQasNlsMJvNqNVqnB4ym9e6tiVJAgDoug6LxQKbzcbP7XA40Gg0IEkSnE4nHA4HnE4ndF2H1WqFz+fDxMQE5ubm+Hlqtdpzrncz7OdNa+AvvfRSOBwO7N27Fx/+8Ic37HX37t2LvXv3AgB++tOfolAoIB6P4/jx4xu2BkFvEY1GYbFYEA6HceDAAfZkms0mVFWFxWJh4w6ADzvKYVKOkg5M+jp5VuQp1et1znUqioKhoSG4XC6srKxgeXkZjUYDqqqiUCh08u0QdCFGjz8SicDlcmFgYAD79u2D1WqF2+1GPp9HMpmE2Wxuy6XT3jObzZBlmb9XqVTYuNfrdWiaBpvNhkqlwqkou92OTCaDZDKJXC4Hl8sFl8uFfD4Pi8WCWq2GXC63acffbqoQvdlshs1mAwA89dRTmJycXI9lvWRuv/12/OZv/mZHCvJ6+OPvKV7qXjWZTFwU9853vhOBQAAmkwm1Wg1msxmtVgv1ep0PSdrX9Dq1Wu0XKo2r1SqcTifcbjdkWYaqquwZNRoN/kMXCPrjdDoRj8ehqipOnTqFn//85x3ZN2KvbhwvZb9SWN5sNqPRaOAd73gHRkdHIcsy8vk8e+sWy5o/Wa/XkclkAIC9dlVVEYvF2OBXq1VkMhlIkoRGo4Fms4l6vQ673Y5GowG32w2/349AIIBvfvObWFpagt/v5zO9WCzCZDIhlUrhxIkTUFX1PL9DL0437NdNZeBvuukmfOMb3wAAzuN0A61WC0tLSxgZGenIawvWn5e6V7du3Yo3v/nNqFQqnJO0WCxQVRWhUAjNZpONu8lkQrFYbDPUZxt8epzJZEIgEICiKJx3p0OWvPxKpQKLxQKLxcK50FAohEceeQSzs7PI5/M4ceLE+X2DzgGxVzeOc9mv5Gk7HA6Mjo7ikksuwcjICIrFIiRJgs1m4zoPh8PB6SHax+TQUE0IheAlSYKu67DZbGg2myiVSmygs9ksZFnmFFO1WsX8/Dx8Ph9CoRB8Ph8kSUIikYAkSSgWi5ibm0M8Hj8vDtRLydt3w37dNAb+k5/8JN7xjndg69at67iil0+9XseTTz6JG2+8Eaurqxv2uj388fcUL2WvXnHFFdi+fTucTidMJhOq1SobW/LsNU3jz07XdciyjEaj0dYL3Gw2YbFYOBJA4XqPxwOLxcIHMXAm71kulwGA8/h2ux2apsHlcqFcLqNUKiGfz+PkyZM4fPgwdF0/z+/U8yP26sbxfPv17NZLu92Oa665BpOTk6jX61BVFbIs834C1rzpaDTKaSUy3PV6ncPzPp8PFosF5XKZw/VUdU+GnIy9Mbpks9lw8uRJrswvlUoczne5XDCbzahUKiiXy3jsscf4wrwRdMN+7escvMfjwe/93u8BWPPeu9W4A2u32Fe96lX46Ec/ii9/+cs4fPhwp5ck2EBkWcaBAwfQarUwOTkJn8/Hhx8dquSxGz11yr2TIadcIx2WRg9elmUAaxcCKsqzWq2ci6ewvyRJHHKVJIkvDzabjUOoY2NjkGUZJ06cQDwe78A7JthojHvJbDZj7969UFUVNpsNmqaxUE2xWOTCzVarBavVyuH5RqOBcrnMe4+8dzL6lJ+nYk/y+O12O3+/VCpxqyftc7q86rqOer2OZDIJWZbhdrvhdrsRDocxMzODVqvFl4XNQN8a+EAggIsvvrirWtLOhY985CPsHQk2B3a7HdFoFK95zWvacu8A2IhToVGj0WBDTV4QpZssFgvn0CnvSZcBErohQRE6YOnQJOjxlUqF25PMZjMUReHIQKvVQiAQwODgIHK5nDDwmwQy8LIsw+/3Y//+/VheXkaxWES1WoXL5YLX60W5XOYiOEmSuKODQvoUJfJ4PBwlslqtKBaLnKunPUsXTiq2s9ls3PNeKpXQaDSQz+eRTqehKEpbCgAA73Gfz4ctW7agXq8jkUgIA9/LmM1m3Hzzzbj11ls7vZSXBXlPm2UTbnYmJydx/fXXI5fLwe/3AwB/9pIkoVAo8EFoLDqiEKaiKOxF0cFYq9Xg8Xg4V28ymaCqKjweD4fozWYzTp06hYGBAciyDF3XUavVkMlkcPLkSc7rW61W3HTTTVAUhb37crmM5eVllEqlTr51gg2CLouSJGHXrl245pprsLq6CqvVCk3TUCqVkEgkeC+Sx221WhGPx5FIJBAKhTA4OAhVVREOh2G1WvlyqWkacrkct8FlMhmYzWbY7XY4nU7e+7quY2RkBJFIhEP31Mpps9mwa9cu3vukRFoul1EsFnH99ddD0zTE4/GuEcNZb/oyB3/HHXfgzW9+Mxca9Rq6ruMHP/gB3vrWt677a/Xwx99TPN9eveGGGzA+Pg4ASKfTiEajHDK32+0oFAocqjSZTNA0DT6fj1uKKB9fq9WgKAq3GVFLkbEHWNd1FsShS6TT6YSqqnyBqFarqFQqeOKJJ/g5pqen8drXvhbj4+OQZRmFQgHFYhFHjhxBq9VCLpfDoUOH1v09FHt143guuWO73Y5LL70Uw8PDXB9CF8ByuYzZ2VmcOHECTqcTwWAQbrcbzWaTBZZ0XUer1UIwGITf74fb7YaiKCx2U6lUkM/nOQRvsVi46I48+2azCbvdDo/Hg0AgwC2kCwsLKBaL0HUdhUIBXq8XS0tLSKfTHM4PBAJIp9M4ffo0jh8/vu4OVDfs177y4E0mE771rW/hiiuu6FnjDqyFwBwOR6eXIVhnfumXfgnhcJg9I7fbzT3r1KdOle8kHkJ/AHB43W63w+12t3lE1E7n8XjQarWgaVqbapjJZIIsy22/J/V6nYVzJiYmUCqVoGkaIpEI3G43S4rSzyuK0qYfLug/6LOWJAlvetOb4HK5WEuBvHpN05DP5xGPxxEKhRCNRuFyudBsNrGwsABN0+DxeNiYR6NR7tiglBDtTcrFA+DIE+XVgbV9TYV3mqYhm81y1Mooz0y1AU6nE7VarU3cSdO0Tr6lG0rfGHi/349f//Vfxxve8AbY7fZOL+cV8cADD+B73/tep5chWCdsNhsmJycxODgIYC08Se1olOM25uDJUyfPm9qPAPBloFqtsrdOh129XufHUm6ejDE9Hxl4amGiC0YgEIAkScjlctw3T4cn9cY7nU6cPn0ayWRyo99CwQZBF8FYLIZYLMbGFFirjqecOgnL+Hw+zq3XajW4XC643W74fD4oisL5dlKvo9qSWq3G+1OWZRa6Ac7UhVDtCKWoKPJEe9fpdP7C70qj0YCmaVzQRz323eBdbwR9Y+AHBwfxf/7P/+n0Ms4LX/7yl/H5z3++08sQrBOKouCqq66Cpmncm0vqcSReQ/n1RqPRVuBG1cIulwutVouLjQqFQps3Ho1GUSgUYDab4XA4WHTEWBkPgD0m8q5KpRJr29MBSwV7dHi2Wi2ubI7H45ifn9/4N1GwIVCB5a5du9ggU7cGidUUCgU0Gg0MDw/zjANgbd/EYjGEQiG43W7eO7VajWs+SH2RLqhkmMnjNrbbGavsVVVFuVyG2+2G1+tFrVbjizLNVKjVavy7Qbl8ShUA669F3w30jYEXCHoFqg42ar/TtCyS36SDjfS26SAio7q4uMh5Scqtk1dttVpRKBRYyMZut8Pr9SIWiyGVSnFbElUraFPVXwAAzy1JREFUk8gIeTrUS1ytVlEul+Hz+WCz2VAqlfhnyXMX45D7E4r0kBa8sfsCALeo2Ww2jI+Pw+fzQZZllEolFItFVlK02+0snUweNaWNstksyuUyp4+Mnnq1WkU6nYbf7+dUEhXZkSYEadkDaxX51KKnqiq3ylGhqNvt5h77s+sL1sPId0vaqi+K7D70oQ/hk5/8JFcg9zqlUgnf//738eu//uvr/lo9/PH3FLRXL7zwQlx88cXQNI1z7vV6nQ8uCsnb7XY4HA4OoyeTSaRSKVQqFTgcDoRCIfZGPB4P5ubmMDExAUVR2kRE6ACkNqOBgYG2SABdMujAzOfzaLVanDt1OBwYGhrCjh07UK/XUS6XkcvloKoqz09YXV3FD3/4w3V/D8Ve3TjIUx8ZGcHWrVsRi8UwODgITdO4XVNVVW6VLBaLXDdC+5YKOSlkT6Fzq9WKVCoFVVX5wkCePwk7ZbNZtFotRKNRFliq1+soFosIh8NcFOrxeKCqKvL5PP8ePfbYYwgGg/yciqIgHA5DkiSUy2UsLi7i8ccfZzGo9aIb9mtfePCKovSNcQcAl8sFn8/X6WUI1gFjZTANipEkCQ6Hg0PxlFOkMHomk2lT4CJvhARrCoUCBgYG2nrfjSphZNDNZjOr3lG4VFXVNrEbEhIho2+32xEMBtsUwVqtFnRdRzgc5mEegv6CijXtdjsCgQDn1OkiSJEbqlwnaH9TEZ7H4wGANjXGZrMJt9vNz0GpKOr+IJ0FSZJ44iGF7BcWFtpqScLhMEqlEuLxOLeJ5vN5uFwulmRuNBpIJpNwu92oVCrQNI1rTdYrTN8tHnzPG/jrrrsOe/bs6fQyBIIXZWBgAH6/nw8/MqrAmodNRr7ZbKJarSKfz8NkMiGXy7HnRH3tpMZFoXyXy9WWryQv62xpUQqJUniVPHxj8R0ArsinfnkK4dMBbDab4fP5WMBE0F/IsoxAIIBgMMjeN7VrUh0HDZcxitMAZww20F4ESt0fVBlfqVS41qTVaqFSqaBarbJMssViQSaT4fy8qqosr0y/C7VaDcViEZlMhtX0LBYL9+bTOvL5PAKBAFwuF7f4nW/j3o05/Z438H/+53+O17zmNZ1exnnHarUiGAwinU53eimC88TevXsRi8VQq9U4JG+UlrXZbFAUhQuDTp8+zQVxpCrXarVYUERRFJ4ORwVKdHGgy4PR6EuShGw2y73EkUikTS2MPDNZltta7orFIrxeb9twG4pCUErB4XB0ZGKXYH2w2+3Yu3cvTzGktA8pG1J7JoXIaW/QfwGwahwNhzEWzs3MzHABKD1XIpFoE/iidjcaBUvTD0kbAgDn/Y1KjV6vF5qmYXZ2FhaLhf/u9/uhKAqAM4Ny1itE3y2GvucNfL9y7bXXYnZ2Fj6fTyja9Ql2u529FzooyUD7fD64XC7cddddWF5ehtVqxfbt2zE2NgaPx4NcLodMJgNVVbnojQqSyBMi9bBCodB2CBorl6PRKHtgNFebip8oJ3/69Gnk83nIsgyv14t8Ps/qd8FgEIqiYHl5mcP1k5OT+G//7b/hs5/9bNccbIJXBukeUGdFpVKB0+nkNBBFfKjrgsLjFosFy8vLsNvtbeqIwFqqiYrgcrkcduzYAYfDwaFyYySIcvWaprGHXiqVuA2vWCwim80inU7z5TgajWJ4eBgOhwMWiwWVSoVFmUZHR3H69GlomoZCoYBYLIZkMsmpr5dacPdc3no37v2eNvAzMzMYGhrq9DLWDZfLhenpabzxjW/E1NRUp5cjeAVceOGFXBhkNpuRyWS4dYjChW63G61WC5dccglCoRDn0ROJBOr1OufEaSY29QOXSiXYbDYsLS1xdMBqtWJwcBD5fB6FQoEPURruAZwRtqHIgdVqRSaTwenTp7kNr1qtwmazIR6PczSAvk5V+haLBePj4/iTP/kTfO5zn0MikejkWy04D7RaLczOziIcDsPj8XD3hN1u5xoMShGR+mGtVoPT6WQhHFJYjEQi8Hq9vGf8fj9XxBeLRW6zM3ZzpNNpLCwsIJvNQlVVruAvl8t8eW00Gly/YkxljY6Osl59Pp9HpVLBBRdcwH36drsdqqriyJEjOHToUJt+xEt5f3qBnjbwExMTnV7CumIymbBlyxZ88pOfRDqdxvz8PP76r/+608sSvAy2bNnC09jIcydVLuor1jQNO3fu5PA4HSKkt3328BjypCgiQONkKZ9JU7sAcFGdMYdOVcWJRAJerxdutxvZbBaZTIYL/ej16TClCwLlYgmLxYLt27fjne98J5aWljA/P49HH310499owXmB0j8Oh4MvpdQqB5yZl9FqtVjAhgw+7RUKg5M3T6kcugCQ0aa9mc1m2aBTdIoK9mw2G3w+H/L5fFu7Hu1R+l2o1+tIp9Nc/EeRhWQyycXL9O+JRqO4+uqroes6crkcnnrqqY693+tFTxv4zcLb3/52AMBjjz0mDHyPEgqFON9NanRUzUseUT6fRygU4mIjyqsb1e2MU7boa8YxslSAV6lUUKlU4PF42tqW6PtUJd9oNJBKpaBpGh90ZrMZqVQKxWIRHo8Hw8PD0HWd0wAU1gfAFw9N03Dq1CkcOHAA4+PjcDqdwsD3MHQJJY+dokwA2v5uHFVMRt+odmeUTqYcOe01+j4VzZXLZe4YMZlM/PpEMBhsG0tLio1Gb9qYojJOUUwmk9B1nSvrK5UKzGYztm3bhlqthoWFBTzzzDN9lw7taQNfqVT4NrYZkCSJi0Q200zjfoC8Zwot2mw2eL3etnY26vUlL4gOQcpFkmY3tbLV63W+APj9ftTrdWQyGSSTSTidTvj9fkSjUdjtdr5M0M+SAM7g4CBPmiN50ImJCfzgBz/AysoKfD4ffuu3foujAfQc1WqVK5pNJhMSiQQ++9nP4mMf+xj8fj/nawGw5rigd6DRrbquo1QqcSqHDK6xrZLC9dQWR1XztD8pZ04V7XS5pfa7VqvFrxEKhVAoFHikLFXFt1otLvak8D4Z+FKpxJoPxgp/utTSMBwArL5HkSubzYZqtYpcLgen09k2HfGV7NluaZPraaEbi8WChx56qC+r6J8P+iW5+uqr8fDDD7/i5+vhj7+nMJvNuOmmmzA4OMjjLcmrJ8U4GiRjzC/6/X7UajUOTfr9fkxNTbEaGIUr5+fnucfd5/Nh69atfCGkECgpglGlfaFQQDAY5H58mqNts9nw1a9+FQsLC7z2P/uzP2tTDSsWi/jsZz/LPfB2ux3/8A//wOkFo4f/qU996rzUkIi9unG4XC5ce+21AIBsNouJiQluf7PZbHC5XMhkMmzYKWVD1fbkrVPvO3npqqqydCxdGGmfejwe7gBpNpsYHBzE1NQUKpUKn3tOpxOZTIa9/enpaQBnIgXksVOFfCAQwOTkJGw2G7Zs2cKXWcrjU+2JruuYnZ1FsVjE6dOn+ULySvZcN+zXnvbg6UPfTFChU7fcEAXnBoXhKe/udDpZBhZY8yjIs6HDkbz7UqnE0ZpkMslDNvL5PHK5HHw+H0ezjCM1qWiPwvmFQgEmk4m1wc1mM3K5HFKpFJxOJ3w+HxwOB4/XJIxtS5QGIK+q1WphcHAQr3/963lMJ2nfy7LM4VZBb0HedywWw/DwMNdleL1eHu1KcsfkLZNnTRc84+dOXRo0tIiMH/Wyq6qKeDzOuX+73Y7jx4/DarXyZDp6LKWJbDYbR77ooktFp263G4ODg4hGoxgYGMD4+Dj36quq2lYwSpeWCy64AFNTU0gkEqhUKm06Fb1KTxt4ALj11ltRLBbxS7/0S51eikDwgkxNTaHRaGBkZIQntwHgfmAyuiQOAoAL4iqVCkqlEocfjQNfyFNSVZWr2gOBAOfYKXxps9k47F8ulzE/P8+heZLEdblcz2mQf/KTn+Ciiy5Cs9nEsWPHOJcPrPUih0IhlEollEolDuNT+JSG1gh6h0ajgWPHjnGhL7Vl0v4iHXjaezT+FQCnf8gA00WVMArhGF+PUlGlUokvv7Isc46fUlfUKVKv1xEKhbibg16LLhh+v59/D6xWK4vikJgO1aSQxw+AVRu7wfs+H/S8gf/Sl76EcDgsDLyg65mZmYHVakU4HIbb7ebxlXT4kcGmQiLjIJpSqYRsNssjMelSQIceTX/TNI3DnfTzdGCRKInZbEY2m8XMzAxsNhvcbjc0TWNvmyIAFEY1m8145plnEIvF0Gw2cejQIQ7NUw8/AC7SoylhJpMJpVJJCOD0IM1mE1NTU3A4HIjFYnA6nZxXlySJWzXJc6c9aiyuM15GaQY7PZYiQWS4VVWFoiioVqvIZDJYXFxEMBjkkD8VplJ+ny6mVJNE3j3VqZAGPYXg6Xny+TxUVWUJXWN3Cs2tB85EHHrd0Pe8gQfOyCEaVbv6GQq5CnoP6v2VZRnlcpn7dxOJBMbGxjisTmM6E4kE5xyBteJK6p83TnxzuVz8fZqVHY1GWYjEqNplrMono0/V0LquI5VKYWhoiEVOFEXBFVdcwbUB119/Pe644w60Wi1ceuml2LdvH8uLBoNBDnvm83kA2DS/l/0E5bLL5TJWVlawY8cORKNRnjhIRpQugbVaDeVyGTMzM9i9ezfi8TgajQbGx8fbOjhodgKFxalolProXS4XBgcHOVQfCASQy+VQq9Xgdrt5P5PRpxHING0OWOtYcblc3L4XCoUwMDDA8xtooBL18NNlhCJcpC/RD/R0kZ1xpOHevXvx+OOPd3hF60+tVkM0GkU+nz8vm7CHP/6ewjiiMhwO4/3vfz9WV1d5iAepdNHj6DCUZZkPSxoOo6oq5wjJA4nH4wiHw1ws97rXvY4vvvRfigxQeJKGduRyOQwMDCAWi6FcLnN4dmVlBblcDs1mkxXCnE4nvF4vGo0Gvv71r2P//v3Ys2cP3G43XC4XH6BUpPS1r32tbRjJK0Hs1Y2Dit8o737ttdei0WiwaJKiKBgaGkKj0UA8HudpbuFwGOFwmBXrHA4HIpEI71fylG02G5xOJwBw2J804kmdcXl5GcePH+c0ADlxlJe3Wq1Ip9PYvn07T44jb52MPUk9U8fIysoKkskk/x5QLQldUm6//XZUq1Xea6LIrgsgT6bfOX78OG655ZbzZtwFGw9VvmezWf4aFSRRNbsxN08XAjqAqLcdAIfqs9kshoaGEI/HOR9511134eqrr2ZvGgAcDgcbcCpOorYnh8MBl8vFffCjo6MIBAIoFouo1+tcXEUHJrAmp0ypAHoNmkTXarXw4x//+LwZd8HGQuFp+kM95G63m6vf6XEOh4MjU4qisJeu6zpisRjS6TTS6TR73cYuCzK+breb00cWiwV+vx/VahWRSAQ2mw1WqxWFQoELTKlqPhgMolwuw+v18mWXtO+pPoXSB6urq9z+Rxfrer2OYDAIXdf5Mkr/5n6gLwz8gQMHcPPNN3d6GetOoVDA/fff3+llCF4Bfr8fY2NjrIFNoiHkeVNLGwA2lA6Hg71t+j5V+JJhVRQF0WiUZ2Ink0ksLi6y0A3Ng6cCJ0oDGIVISOWOCuXI+LdaLT5A6bWtVitGR0e5op4K+mw2G6cD4vF4B95hwfmA9kckEsGWLVtYAY48Xipqo9y4zWZDNptFPB7nPdRoNLC4uMg68gC45oP2O+3BRqOBSqXCuvLU7hmLxTiSoCgKz0gwRm+NFfRUaGecXGdU3SMJZkmSuF4EWHMSl5eX+05TpS8M/PXXX4//8T/+R6eXsW6cPn0auq5jcXGx00sRvEJisRh2797dpn9NXjEVDBkV64zV9AA450ntPqTTrWkaV+erqgqXy4WlpSU2wFQUJcsyqtUqD5ahA42EawAgkUhwKJSEbKiHnhTH6HvU9kcDcchbEjPiex+TyYSRkRFcdtllnK+mee4krUwesyzLqNVqWFxcbJvXnkgkuAiUQuKyLLOxNXrjVCRnlHMOBoP8O2DsGKFZDMZoAKWjdF2H2+3mCwjtZaNULo2rzefzSCQS503gptvoCwPf77z5zW/GM8880+llCM4T5EnTgUdeCxlSYC0vScVE5XKZK5JVVUW9XofL5WJvhOa7U1iVxnhu3boVR48exdNPPw2/349YLMavY7fbeSocRQNIy3t6epqrp4eGhjgnaWxPKhaLnO+knH4ikcC3vvUtYdz7ANpvlCunAjhjHpxSPVSkZrfbMTo6iqWlJZZbbjQaiMViuPDCC9suCQ8//DCGhoa4Fc7j8fDFgQx1LpdDoVAAsOZh53I5lEolRCIRLqCjywMAXo9RLMdsNsPtdqNSqSCZTPK+p6jD448/jng8zpeVfkt9CgPfxZRKJUxMTLC8oqD3ofyf0+nkdh2ahmW1WllylnKGxgp4+kOHK10OKAR59mNWV1fh9/v5/2kmNoVaq9VqW8Ux9RwPDw/zczSbTe7RJ6+LhEeOHj3K4X9N0/CVr3yF26EEvQ0ZWZJXdrvdmJ2dhdvtZsGjcDiM5eVlxONxFlp6/PHHeYocpZdSqRSy2SzPPSgWi4hEIgiHwxwVymQyfOkFwJdWSmFJksRV9ZqmccEotXQaI2FUYEe/J6lUCjabDbt374bT6eThM1/60pe4nqkfWuKeC2Hgu5QjR47gT//0T5FMJju9FMF5xqjqRV4OCXE4nU72XKgqmUKXVGhHYVFgrdqeiu3ocWazGeFwGKlUiidyhcNhqKrK078oHUChU6O4BynjkZdDE71o7aQbLssy3G43isUifvzjH2+KQtfNBLW2UWEmebnkPZPx9Xg8sFgsbEiHhobg8Xi446JarcLlciGfz7MUM6WESEIZAI+lpdw8FcRRNEGWZe61p7w8AL7sGrXngTM991TBn8lksLy8jNXVVRw9ehSFQqFNUU8YeMGGEY/H8Z3vfKfTyxCcZ4wT32gal3FsLCm/UR6zVqvxJcA47IXyi1TwRIVHxoIkksMl8Q8qOKKeX1LDMyp50eFJEQEKzdJ6jPrclHtNpVI4fvx4J99WwTpBIfNqtdomo2wsaiNpWXrc2NgYAoEAjyCmTgyjiBK129G+I+U7ikrR5UFRlLbRsLquQ9d1zsWT0NPZE+3q9TpffMn4VyoVZLNZLC4u4sSJE22/Q/1o3AFh4AWCDYdEYCgfbixWy2azsFqtcLvdPMaSDD4AVqlTVZULhwqFAnvTFGYnpTuiVqtxNIDWQIc1FTlRLp4uEtTTTv3txh59Egip1+siLN+H0AXPOFaY9ke1WuWQu8Vi4fkDVB0fiUTa0j6KonCUiqbBPfbYY1zwBoBbPynlREbc5XLx6GRqnyPRJzLy1NVBl2S6aABn2vCMQ3Eo9dTPhp0QBl4g2EAsFgscDgfrc5NXQ6F18rap2nj//v2Ix+MsJkJjY91uN3v/sVgMS0tLbSIgNNTDbrfD5XLB6/VC0zRMTk4ik8nwpYDUveiwBNYOxUAggHK5jEKhwEVKdMgqioJ6vY5KpYJisciKdYL+gS5+Xq8X4XAYJ0+eRCgU4rw81WgoisKa9FS5Xq1WuUODZhKQIabc/O7du9lQU+ucz+djRcZ8Po8TJ06wAA7tzWazCZfLxfvW4XBwuoAwRsZorjxFDkhyl8YnA/1VNX82fWHgP/e5z+Hw4cO4++67O70UgeAFOXr0KBKJBK677jpWhKOqX6o+NyrU5fN5NBoNBINB+Hw+qKqKRCIBv9/P87mr1SrC4TByuRzL1tJhSp4KefupVIo9r0KhwPPhadCM2+1GMBjkAzsYDOLw4cPYvn07h0vz+Ty8Xi9PDuu33mEBOHz90EMP4ZlnnsG+ffswODjIYXWjhnu5XEa5XEalUsHQ0BDPMSDvvVKpsKGnyyFVvgPgLgz6Gl0ehoaGOAcPrEWdstkst9mR0S8Wi2g2mygWi8jlckgmk9izZw+PRM7lcpicnAQA7lghcR5KW/Wrke+L38xisYiVlZVOL+O8snv3bnz2s58Vozb7DBqNSb28lGukQ4Zy8MYJWZSDlCQJDocDg4OD8Hq9XCxHOVHKs6fTaSwsLLCkqMvlalPIM+bhjV+nAjo6xOkQ9Xq9KJfLPOkrHo9zpX+pVMLo6Cg+/vGPi73aR1D4msLxy8vLyGQybBSpMNOY6qFIEKkyZjIZ1pEHwBEmSkdRBwZVv9MQGQrJU/sctbVRaJ20HehiQNEvu90On8+HCy64AEtLSwCAQCDAkQdKO/h8Przuda9r2/v9Sl8YeGCtpexHP/pRX8zwBYDh4WG8973v7fsNuBmp1+tYXV1tE7Ex5r3J8zb29Bor5Km1jrwkKlDy+/1wOp2o1+vIZrM8RIYEc6jlyXixIM+KDktd16FpGhcz1et1+Hw+zrWTiA1dQkhO9D3veY/Yq30K6c1nMhmOLlEKCUBbFIciUtVqFZVKhcPwRrVGo/od/d1qtfJep/1J+5vGvVJ6i1rhKI1A6SVFUeD1ehGNRlEul9vC8lQnQimwCy+8kCMA5L334/7tixA9AMzPz+NNb3oTFhYWEI1G+2aCFVWh9psAw2amVCrhrrvuwrvf/W44nU7oug5VVduK7sjAA2dC9jS9q1wutymDWSwWLnCiaV+pVAqpVAqlUokr7MmToupiymGShyRJEjRNQ7FYZMlZOjxp5jdV9adSKfbybTYbtm7dCpfLxREAQf9Qq9WQSCQQCoUQjUbbjDTto2az2TaNzVjhTv3olCaidjiKWlFengw31aXQ+FgAfKmIRCI82pgkaSnHTpfWeDwOj8fD42GpxoUiAAB4T1Oevl8L7vpimpwRs9mM733ve7jhhhs6sKLzT7PZxEUXXYRnn312XZ6/hz/+nuL5vIPXv/71GB8f58PwueQ/afa1xWKBz+fjCnbq+61WqxzmJE+KQpJ0aQDAA0AoWkAHNEmAkkdfLpc5hVCtVjm332g0EAgEsG3bNpTLZTz22GPweDy46aab8L73vQ+pVApXXXXVurXMib26cRj3q7EYbd++fdi5cyeGhoZYmhg4YzApj07hcBpvTCF92pMUAaAxs5VKBSMjI9xuR6OUae9TFMpisfAcBxqLTNAeprbSSqUCYG2QUigUQqFQQLFY5Fz9ysoKZmdn160LpBv2a9948ESz2cQHP/hBvOc978Gf/umfdno5rxij1rKg//jZz36GXC6Hyy+/nEPxVIFMvfLGfL1xLjx5NdRmZ1S9IxlbMv5Wq5XHdJJHUy6XuaqYcprkSZFRr1QqiMfj2LNnD2t5k7hJMBjE9ddfj5tuugkA2nTFBf3J9PQ0F+AB4JZMCq+TvgJFoMrlMpLJJMLhMHd3AGDjTmH8ZrOJubm5toE2xWKRK+SpKp4uo3SZJa+c0lFEpVLhlJamaZibm+PfE7vdjp07d6JQKHBNQL9GnfrOwANr4fpvf/vbcDgc+NjHPtbp5bxsdF3HJz/5STGVq48plUqYnZ2FLMvYs2cPH46UWyThGeCM6Ah5+uT1038p/9lqtVAoFHjeNv0chT7JCEuSxIc1TaGr1Wo8y5ta8oaGhri/nrTJT506hYGBAVx99dUIhUIAgE9+8pNIJBKdeSMF6wqFv2lOe6vVgt/v50p3qpg3KsKRUA0VbzYaDVa3y+VynDYytotWKhXuZwfAl0/gjGqjUfSJDDw9j3FKo1H8hkY00+/C0tIS0uk0pwf6lb408ADw5JNPYmVlBddccw3279/P8oW9Qj6fxxNPPIG//Mu/7NvbpWCNZDKJUqmEUCjEvcQAuHfYqGAHgA8lY+88cEaoxmQysZwstTLRc9BjyQvSdZ1zquTV53I5LmySZRnDw8NtY2pVVcXS0hLe+ta3YmxsDADw5S9/GX/zN3/T14flZocMZzabRbFYRDQahaIo8Pl8bOSNZxVNhKOIEHnKJOhE+5mMO4C2/UnzEowtefRYqtinehWj8iKNLabfGUoLaJrGKafTp0+zCiQ9bz/u3b7LwT8X8/PziMViHO7sdhqNBn74wx/iLW95y7q/Vg9//D3Fue7V//pf/yt7MNTPTtPk6OvlcrktPE9Vy2f3z/t8Pq6Qp355AOyNA0A2m+UBMnTw0t/JW1pZWUEsFkO9XsfKygqmpqbgcrnw7W9/Gz/72c/wN3/zN/jWt761bu8dIfbqxnGu+zUSieDyyy/HyMgINE1jURqjDK3f728rGvX7/UilUlBVlfvfafYCeeWKokBV1TaVxXK53NZWRxcKEq2hCBQZdIoa0CWgWq3i5MmTWFhYQLFYbMu9r8fe6ob9uikMPN3m3vKWt+D2229f51W9cj70oQ/h1ltv5arn9aSHP/6e4lz3KtVcbNmyBW984xsBgA86yndSsRF55larFYlEgivwafCMcZY7VRpTbp/CpRTapNemnzOOAKXLBQAsLCzg4MGDmJycRDqdxtzcHBKJxIZEmcRe3TjOZb/SYxRFweTkJK655hqYTCZkMhkoigK32w273Y5cLgebzcYGeWlpCT6fr03BkSroaTQx5erpMzd62zSq2Gq18hz3UCgEk8nEaSVjVX6j0UChUMDOnTvxox/9CAcPHmzTlzC+zvmkG/brpqiIodDMT3/6U7zpTW/q9HJeFCq2Emw+6NBbXFzEd7/7XQDgdjgA3CdsnEhHf8gwG8P2ZKiNeXz6GoUzKbJFr2NUDlNVFbquo1gssgre5OQkSqUSJicneY63YPNBIXtVVTEzM4Pvfve7WFpa4mlztVoNKysrXNFeKBRQKBRgMplQLBZZbvZsz5uU6kiHwaj2SIab0lfpdJqL/FRV5ehWvV7niym15v30pz/FzMxMW1Fdv7bHEd0frz6PpNNp3Hffffjbv/1bvP/974fP5+v0kphKpYLPfe5zANbqBwSbm2q1iqWlJTzxxBPYuXNnm7QnFRnR4WTsnTd+jUL2AFiohvLtxiEzxvGblLfUdR2VSgWqqsLpdEKSJGQyGa5Wnp+fR61WQ6FQ6Mj7I+geaKTs6dOnYbPZsGPHDvh8vrbpcEYBJ6vVyt0dFIWigTDG56SWTjLolJM3dovQnASjx0/SuFSdr+s6MpkMpqamkMvl+t6oG9kUIfrn4q677sL4+DgcDgdGR0fP46penFqthlOnTmHbtm089/jJJ5/EVVddtaHrALojjLQZeCV79cYbb4TX64XVaoXH4+EDjgy51WplBToAHJbUdb1tDCdVKFMu3zjJjgw+VS2TJG0ikYDL5YLP50M8Hkcul0O1WsXc3Nx5emfOHbFXN45Xsl8vuOAChMNhBAIBDAwMwOVysfIhjXGlaYjA2ufq8XjaxtCStrymaRwRkCQJ6XSajTwAjI2NYX5+HsFgkNXwstks/H4/MpkM8vk8KpUKTp8+zXMdNsrAd8N+3bQGnrjyyivxwAMPnNfnfD7oQJ6ZmcH27dsRj8cRDAbxla98Be985zvX7XVfbE2C9ed87KuRkRG84x3vgK7r3PJDmt6lUokNNfWjUzieiuxKpRIXMlFVMhXyGaVGqUhvcXERJ0+eRKVS4XB8IpHA4cOHX/G/5eUg9urG8Ur2K+0vWZbh8/nwa7/2a8jlctB1HcCag+Pz+fiSSR0hdFEF1tJSq6urLK8MgIV0vF4ve/5Ui9JqtXgPnzx5EoFAAE899RRWVlb44kt7fqP2UTfs101v4C0WC48oBICPfOQj+PjHP/6Kn/e5uOmmm7Br1y785V/+JfL5PA4cOMAbn1SXNpoe/vh7ivOxVynnDqx9boODg9ixYwcmJiZgNptRqVTYqAeDQZTLZZ7JTWF3KkoiDft8Po90Os0ztQcGBvD0009jaWkJuq7zkI+TJ0+26dp3ArFXN47ztV/NZjMcDgfGx8cxPDyMgYEB2O129syNA1+y2SwPT6IJdRMTE1BVFblcDvl8nkcfG1s+i8UiC9iYzWbcf//9OH36dMdnvnfDft30Bv5sJicnsWvXrrav3XDDDfjgBz/4ip/75z//Oe6//3787Gc/A7CWJuh0MV0Pf/w9xXrsVbvdDrfb3SZoMzo6ij179sBqtWJ+fh7hcJjzocCavgLJzlIb3OLiIs87oMl2qVQKhUKB85nFYrHje6XTr7+ZOJ/7lYy80+mEoigAwO1r4+PjuPDCC2G325FMJjkPT7nzQCAAAFxk5/P5oOs60uk0VFXF8PAwKzIuLS3hqaeeQjKZZMXHTtIN+3VTFdmdC9PT05ienm77WqlU4o1pxG634+1vfzu++c1v4oILLsDOnTtRr9fxla985Xkri5999lmujhYIXgmUi0wmk/w1KlhqtVpYWVlBMpmE2+2GzWaD2+1GoVCApmltbXQLCwuoVCqo1WrQdR0+n489qG44KAW9DRXhUYW78WykfehwOFgMh8LtDocDKysrrMtgt9sxNTXFI2xJnllVVbjdbiwsLLCAjWAN4cG/Avx+P5555hlcdtll+O3f/m285z3vgaqq2LFjR8fCmC+VHv74e4pO71Wz2YyhoSFUq1VuqSN52mw22xP7VezVjWOj96tx3gKwloOPxWJYXV1FOBxGLBaDz+fDPffcAwDc9UHqika6ZZ90wzqEgd/k9PDH31OIvfrKEXt14+jUfjVOrgPARtzY/tmt+8C4NqP8bicRIXqBQCAQvCgbYVzPfv6zI0vdatyB9rV1yzo3hZKdQCAQCF4Z3WK0BOeOMPACgUAgEPQhwsALBAKBQNCHCAMvEAgEAkEfIgy8QCAQCAR9iDDwAoFAIBD0IcLACwQCgeBFIRlj6lU/u1d+o3vnn28dgjOIPniBQCAQtPFcPe8v9e9nP9+LPealQs8l2veen55WshMIBAKBQPDciBC9QCAQCAR9iDDwAoFAIBD0IcLACwQCgUDQhwgDLxAIBAJBHyIMvEAgEAgEfYgw8AKBQCAQ9CHCwAsEAoFA0IcIAy8QCAQCQR8iDLxAIBAIBH2IMPACgUAgEPQhwsALBAKBQNCHCAMvEAgEAkEfIgy8QCAQCAR9iDDwAoFAIBD0IT09D55mDAtePmJa8MYg9uorR+zVjcNkMq3LDPfNRDe8bz1t4AUCgUCwPnSDgRK8MkSIXiAQCASCPkQYeIFAIBAI+hBh4AUCgUAgOI90S82NMPACgUAgEJxHuqV+QRh4gUAgEAj6EGHgBQKBQCDoQ4SBFwgEAoGgDxF98AKBQCDoakwm0/Pmtc8uaOuW/Hc3IAy8QCAQCDoGGWiTyYRms/mc36P/lyQJrVYLzWaTDXmr1XrBC8BmRhj4l8gNN9wAm83W9rUf//jHqFQqAABJknDjjTfCZDLh2LFjOHHiRCeWKRBgfHwcTqcTDocDbrcbLpcLP/nJT3ivmkwmbN++HYlEAuVyGbqud3jFgs3C2QbZZDJBlmXYbDaYzWa0Wi00Gg2Uy2V+nMlkgqIosNls0DQNqqqi0WjwpaCbpHW7pU3O1OqGd+Nlst5vot/vR7FYRL1e56+dOHEC4+PjAIBSqQQAOHDgAObn5wEAiqJgbm4OgUAAn/nMZ/CZz3zmF5630Wggn8+v69rPlR7++HuK9d6rdrsduq63HXbve9/7MDY2hpGREUxOTmLr1q247LLLeK9arVb8wR/8Ae677z7Mzc2hUChAlmUAQLPZRKPRgK7raDQa67r2c0Xs1Y1jPfar8TmtVitqtRparRYkSYLJZILX68XQ0BAURYGu6yiXyzh16hRqtRpMJhPMZjOGhoYwMDCAfD6PZDIJXddRq9UgSRIkSQIAFIvFrvDoO/36gDDwz4skSchms/iVX/kV3HPPPW3f++pXvwpJkvC2t73teX/+8OHD2L9//3N+b3p6Gtu2bTuv63259PDH31Os5141mUz4wz/8Q9xxxx2Ym5uD2WxGKBSCpmnweDyQJAmVSgWNRgP1eh2apkHXdZjNZvz/7P15mGN3deePvyXdq6srXe1Lqfbqql6qN/fiNrTxvmDGLCYEwuIkEIc8LJMAzkx4ki9kA/IMQyADSYYwTMhkgDxkQkxCMMGEzTbGxm1327jd+1JdpVpV2qUr3StdLb8/+neOpXZ77y6pqj6v5+nH7iqV9GnpU5/zOee8zzmqqkLTNExOTmL//v1485vfDFmWsbS0hMceewzf//73ceDAgcu29peC2KsrB3nRlwIaXEOhdFmWsXPnTpw7dw66rsNut8MwDIRCIQwNDUGSJGQyGTSbTSwuLvIlQJZlVKtVbNy4EZqmQZIkaJqGcDiMrVu3wu12I5lM4i/+4i9gt9ufFe5faXphv4oQ/UXYsmUL7r33Xmiahr//+7+HYRgd3+/v7wcAnDp16jmfY2Rk5Dm/1yvhG8HqR5Zl9PX1wWaz4a677oLNZkO9XketVoMkSRx6bzabKJfLME0THo+Hw5zlchnHjh3DzMwMZmdnce+99/JB7HQ6u35ICrrDpTROdrudo0CxWAwf/OAH0Wq1YBgGHA4HFEVBPp9HKpWCJEmw2+2w2+0IhUI4ePAg5ufnYZomgsEgvF4vTNNEq9VCq9Xii0g6nYaiKCgWi5AkSeTl//8IA4/zh+SnP/1pDvFEIhH2sIeGhp7z516pF/6pT30K//zP/4zDhw+/oucRrB9sNhu2bNmCer2OSCSC/v5+OJ1OuN1uyLLMjyPvXFVV6LqOXC6HUCiEZrMJh8MBl8sFr9eLUqkEl8uFUqmEVqsFVVWxuLgIh8OBRqMBXdehqiqcTicqlQosy+riv16wWiCv3el04oYbboDb7YbD4YCmaYhGo3A4HCgWi/y1eDyOQCDAzk+j0UCr1cLk5CTcbjdSqRSazSZ27NiBmZkZlMtlAIDH40EwGESr1UK9Xkez2YTNZoPX64Wu6xzeb2c9Gf11beAnJiYwNDQERVFw9913s4G/3KiqihtvvBEf/vCHYVkWgsEgf+/RRx9FtVpdkXUIVg9erxeKosA0TVx55ZWo1WoYGBjA4OAgdF2Hoigol8t8yJEhp1y6ZVkstiMxnaZpsNvtcLlcqNfrcDgcCIfDOHnyJOx2O0qlEpaWlhCLxeD1elEoFFAqlWCaJmw2G3tSAgGAjjA8hc9HR0dx/fXXIxAIsAKeLp+VSoX3p6ZpCAaDkCQJzWYTuq4jn88jFovx4zOZDAYHB1EoFCBJEmw2G1wuF3w+H+ukZFmGx+NBNBqF0+nks9Q0TViWxReA9bJv15WBt9vtHQr4u+++G7/zO7+z4usYGBjA/fffDwD4xCc+0fG9yclJJBKJjq+Jg3R9QnnHWq2G7du3Y2RkBCdOnMC+ffsAnPdyqtUqKpUKZFmGaZpoNpuQZRnZbBaqqiKfz6PRaCAejyObzSIUCvEhahgGqtUqXwZkWUar1UI4HIYkSejv78fY2BgcDgfi8ThM00QymcS5c+cgSRKmp6fZo7fb7ajX62KfrlNIBNcumNu6dSt+/dd/nQV1ZFwVReFcfLlcRiaT4b2rKAqazSYqlQob4oGBAcRiMQ7hy7KMSCQCt9vNYmWXy8VCu7GxMUSjUQBgNf65c+eQyWT4AkxfpxTUWt2360pkd8cdd+Cee+7hvzscDtjtvdXM72KH5J49e3D06NHL8nqr+ONfVbzUvdrf34+bb74Zn/70p/H2t78dExMTmJycxMLCAuLxOADw3q1UKqjVanA6nTAMA7quY/v27XjiiSegqirsdjtM08TY2BhsNhvK5TKazSYikQgajQYMw4DT6YTD4UAqlcLAwAAURUG9XkelUkGhUIDH4+FDlPKptVoNqVQKNpsNIyMj+Lu/+zucO3fuskWgxF5dOV7KfrXZbAgEAti0aRPe9KY3YX5+Hv39/RgYGODoUKFQ4LRQvV5HPp9HLpdDtVqFw+GAJElwu92w2+2QZRmyLKNYLCKfz0NRFDgcDhiGAa/Xi9nZWeTzeeTzea78MAwDlmXBsixOLb3vfe/DFVdcgXq9jiuvvBKWZWFhYQHHjh3Dj370Izz++ONIpVIwTRONRuOSe/a9sF/XjYH/5Cc/iTvvvBMTExOXcUWXh2PHjrHQz7Is3HDDDZesZnkVf/yripeyV9/ylrdgYmICc3NziMVikGUZmqaxsSZvyLIs1Go1yLLM4c/FxUXMz89j3759SCaTsNlsXO521VVXIZVKQdd1tFot+Hw+2Gw2WJbFz2EYBur1Onw+H2RZhmEYeOyxx3DdddfxawDg79Xrddjtds7RZzIZXl+xWMR3v/tdvlC8UsReXTlezH4lgzg5OYk9e/bg6quvZmOrqipcLheA86XD5Lg0m03UajW43W5ks1n23CmsT7l3urySGr7VakGSJJimCU3TkM/nMTMzg8ceewyRSIQvuXa7HcFgEL/yK7+CUCjEaSpFUeD1etFoNJDNZnHmzBkkk0kA4AvBsWPH8Mgjj/Brv9I92wv7dV2E6O+++27ccccdq9K4A8C2bdv4/5vNJj72sY+hXq/jwIED+OEPf9jFlQkuNW94wxtYIDQ4OAjTNFmUBDxz4DkcDtRqNc49thteTdNQLBbhcrm4JK5araJUKvFh2Ww2Wa1MYXoKf7bXvcuyjKGhIVbU0x8AHQImy7LgdrsRCARgWRanDq655hrk83nMz89jdnZ2Jd9KwWWm1WrhzW9+M2KxGPr7+xEOhzmdSN60pmlsvOlCQN+ntBDtRafTyX0XyOgD5yOtTqcTwWAQlmXh9OnTSCQS0HUdN954IxYXF+FyueByueD3+6HrOjweD8rlMsrlMqrVKkZGRjjsb5omZFnG6Ogo/w7VajVEo1EMDw/j8ccfx9LSEgzD6Akj/UpY0wZelmVs3boVH//4xxGJRLq9nEuC3W7Hn/zJnwAAvv71ryORSIhueWsAu92OcDiMm266CYcOHUIqlcKWLVu4fp08G2oO0n7wUFjS6XRC0zQ4HA42uPT4ZrOJZDIJl8vFz0WvK0kS5y/pELbb7ZwvnZycBPBM8xv6L10u6CA2TRORSIRTXy6XC9dccw1KpRJOnDiBZrOJ+fn5FX5nBZcLRVHwhje8AdVqFZZlsUFstVps6CkkTzl3SZI4ZA+A9xztQVmWudSz1Wpx6kmWZaiqimAwiB/84Ac4ffo0VFXFL//yL+Pxxx9HPp9HOBxGPB7HiRMnsLi4yGWg1WoV/f39WFhY4GgWXaALhQIb/G3btmHfvn1otVo4dOgQEonEqteVrNkQPeUFp6enV25BXeDUqVPYtm3by+42too//lXFC4U8fT4fPvCBD+Cpp57C3r17MTAwgHK5zCI5t9sNSZJQqVSgaRqHOiks2Ww2uQyuWCwCAAvgGo0G5xnJODscDni9XrjdbgwPD6PZbKJarcLlciGZTMLhcEBVVXg8Hj686aLRLoaiNEGtVoPH4+F8PZXneb1eyLKMUCiEWq2GD37wgy/7PRR7deV4of2qqip27tyJa665Bpqmcd6c9g1pOqh0kzx0h8OBQqHAYXoAnNKpVCpwOp1s4Gm/04Wx2WwiHA7jiSeegGmaAM7rT3bv3o2lpSXel7VaDS6XC4VCATabDcFgEIZhYGlpCblcjuvvd+7ciWw2i2KxCLvdjsnJSWiahrGxMTz88MP45je/iUKhwB1LXyq9sF/XrIF/z3veg7/5m7/hTbRWabVaKJfLGBoaelntb1fxx7+qeL69Ojo6ile96lXYvXs3Tp8+jVgsBk3TWGdBOU3q000hcjK4mqYhl8vB7/ez904eeKVSQaVSQblcRqVSwRVXXAFd12GaJvx+P5aWltDX18eef6FQQKVSYUEdqe09Hg/n8ymk73K5OMxvt9u5VtntdsPr9cLr9SKZTPKhXSgU8MMf/hBPPvnky7qQir26cjzfft2xYwfe9KY3IR6P4+zZs3C5XGi1WigWi9i7dy9yuRzn4GmfUAqIKjjIQDebTVa2UwknpaDq9TqKxSIajQYkSYLX6+WeD3SxVBQF09PTHII/efIkHnnkEe5sZ1kWyuUydu7cidHRUZTLZczMzODxxx/H5s2bIcsyv77L5WJ1PukB8vk8/uIv/oJ1JBdGz56PXtivvSUhv4SQKnOtY7PZoGkavv3tb2P//v3dXo7gZRAOh7Fz5040m01s3rwZfX19UFWVO3KFQiE+iACw4Ii8pkajAb/fD1mW+QBcXl5mT526hk1OTnbk6iVJQjQaRTAYhN1u50Y2lM/0eDzwer3w+/38db/fj1AohEAgwC1GaSAICfZM0+QaetM0WbTkcrnw+te/Hr/927/N8xwEqwcy+m63G319fSiXywgEAgDAvRFqtRqCwSCcTieHtym1VKlUUCqVOBpkmiZqtRpPiSsWi9xtsVaroVKpwDRNjgrQH+D8+U69HwKBAIf4KeqkqioGBgawceNGbNq0CVu3bkVfXx/8fj/v61qtBtM0OYXg8Xj4tWmYTS6Xww033MDRsV4w2i+FNZmDv/3223HjjTd2exkryo033oi+vr5uL0PwEtm+fTu2b98Ot9uNfD6PUCjEYzPJOLeHKAGw50KHDRn79tx4pVLpEM9FIhEuWaKBMg6Hg7uHUQ0zhekpvO9wONiAU26eHkteTr1eh6qq7GnRuunQp59ttVpwu92Ix+N44IEHuvJ+C14ZPp8PHo+HqzcovE7Gj6JNdrudDSjl2SmqVK/XeSYC5d9p/5KxlyQJTqeTjTVFAaiZk2VZ/F/g/IVV13WUy2VOBwQCAQQCAbRaLY4qOBwOBINBTE5O8u9DPp/n3ykqKa3X6zBNE7lcDsFgsKNL5GpiTRr43/md38HrX//6bi9DIHhBrr/+emzevJm9Zzr0AHBO07IsKIrCHgt5PWRofT4fC+1IWGSz2WAYBprNJnf20nWdvRyqZ6fnJO/fNE3+Lx2e2WwWgUCAIwjUGY9C79QmtNFocM69XalPRqBaraJQKMDv94t5DKsQm82GgYEBBAIBFAoFxONxlEol3oeWZaFYLEKWZdZolEolOBwOuN1uTvsUi0X2koHz+5zq39uNu6qqqNfrbFwrlQpyuRxM04Su66hWq1AUBbquIxwOQ9d1zM7OsrCu2WxC0zT4fD7cd999aLVaLESlfHs2m0W9Xkc6nYbdbofb7cbCwgKnqvL5fEdlyWrrgrcmDbxAsFrIZDLI5/Mc9jRNEy6Xi3OVZPDJ4yExHYXiNU1DJBJBNpvlfDl9b2ZmBk6nk8OhbrebFfSkJM7lcjyekw7TWCzGedVms8n5TcMw+HHFYhFer5c745EoyuPxdHhnjUYDxWIRlUoF9Xod/f39qzLUuZ6hvvJ2ux39/f0YGRlBMBjE6dOn0dfXB5/Ph2q1inQ6DdM08cQTT8DtdnOKtFarwefzsaiT0kEU7aGBMbTnqVSOBHNUJud2u1mMR3v4zJkzOHnyJEKhEEzTRCaT4eEzTz/9NLZt24ZrrrkGg4ODuOeeezA4OMgXlF/+5V9GOp3mTpCGYeDUqVPcQIf6RZBXD/RGXv2lIAy8QNBFfD4fT8EigRGJkdpnXJOmxOv1ckcvCpdSn/lyucwGXJIkxONxPqDIA6EyufbZ8e1KfJvNBl3Xoes6P86yLG64Q+kDr9cLy7IgSeePkHbhH9VAt1otFAoFRCIRXnez2cTc3BwqlUoX3m3By4GMWqvVQjweRzweh6qqGB0d7UgTBQIBpNNpaJoGl8vFRp66xFHqiPYrqelbrRYLNmloUqvVQqlUgqqqHCGiJjfU5yGTySCZTEJVVSwvL2PTpk1497vfjbvuuguJRAJzc3MwDAN2ux1zc3N4//vfz5eFcDiM++67j0WtY2NjnLen3xfDMDA7O4u5uTkkEgkUCgVh4LuJzWbD3/3d3z3nHHaBoJe48sor4fV6uWZckiQuLyPj6XK5ePSr0+mE0+nkGe+KorDRJYNJIfj2GdztNe+yLMPlcnEOn7z+9oOLQv10WXA4HB25VArB6rrOHj15YtRxkS4ooVAIpVKJm+J4vd6Oi4ug96G8+Dvf+U5s27aNUyxOp5Mvc3RhbO/+1mg0kMvloGlaxyx42k/xeJw9dpqlQMacGja1txOnOSKUy3c4HPD7/XC73RgfH4fP50Oz2cSpU6dgmiZ8Ph9arRYSiQRUVYVpmggEAlBVFbVajYeN0RjabDYL4LxgkFJh1ByHfvcoMrVaDP2aM/Bvfetb4fP5ur2UrnDNNddgcXERjz32WLeXIngRUPMl6urVaDRYxEaeMgAOYZLwLhAIsCElo025c1Le53I5AM8on2nyVntkwO1282WCGt7Istxh3On5DcPo6EZGr021zpQKoLwqPc7lcvEhKcsyAoEAMpkMBgYGkM/nuV2ooLe40IjZbDaMjo6ymJLElRc2gqGOhxRuL5fL/DO0rwBwSoe+Trlu4JnLIXn+wDN6lOnpaWSzWVQqFbjdbtxwww0AgC1btsCyLKTTaaRSKQ7pk9iT2jLTJdU0TUxMTPDFuV6vY2FhAV6vF9PT00in0x17XtM0FheuJtaUgV/vfPSjH0UsFhMGfpVQKBRQLBY7BHQ0+pXK4tpz2XTYOZ1O6LrecQmgMh9SyM/Pz3MjGjLufr+fR3QC5w9SXdc5b0/efT6fh8vl6gjJU3OQ9oN9fHwcgUCAZ31TpzwSC5bLZW5fS1PuwuEwMpkM9u7dC0mSRKvlHqXdaFMUaH5+njUi1CrZZrNxWB04P9aY9iyJLKlUkrxih8MBj8eDXC6HcrmMZDKJmZkZbNiwgT1ySZKQSqW45M7pdMLlcuHEiROcgx8eHsZ73/teTE9Po9lscmMbSmWR7kPTNC7vdDqdnMIaGBjgS0epVEIikcDmzZvxi1/8AgsLC3C73di/f3+HiK9YLLLYdDUgDLxA0CU0TeNSH8pVtofRyXsgo0oeM+UmSXBEYqBSqYR0Oo1cLofBwUHcdNNNOHXqFBYXF7nkhzwzEtmRwh04H1Ilz4g8LUmSkMvlOCzv9Xq5Z/d1113H/5af/vSnOHDgAAYGBgA8Mz6U9ARUV5xIJPj520c3C3oX2jPBYBAnTpxArVZDLBaDqqpIpVLYsGEDAoEAl0XOz89DlmUWYc7NzaFUKmF0dBQbN27kpjKSJMHn88Hn8/GcAqpDp3LOcDjMKSWPx4P9+/djeHiYByPdf//9sCyro0udpmnYt28f6vU6DMPgvVgqleDxeFgbsLCwgMXFRZ5E19/fD5fLhVgsxqmB06dPY3JyEjMzMx39HoDVIbgTBl4g6BJ9fX2IxWKQJAmlUgler7ejYUg2m4WmaRzmlGUZuVwOjUaDJ3WRMI4Gy1Bzm2Qyia997WtYWFgAAAwODnIYs/0QVRQFkiShVquxx0117GSUqYOYpmmsgj5w4AC++MUv4m1vexvGx8d5ChfVENfrdTbkhUIB1WoV9Xod5XIZ/f39PTmqWXBxKD2k6zquuOIKeL1eqKqKfD6PaDTKHjx58VdeeSXm5uYwPT2NgwcPsqFvNBpYWlpCsViEaZro7+9HMBjkVJHb7eZIUqPRYLEdDY3JZrOIRCJIJBLshbdaLXzrW99CPB6H1+vl34uzZ892pJDK5TKi0Sh8Ph9UVUW1WkUul4PdbufcfalUQrlcxvXXX8/raBfl/eAHP8C3vvWtF/We9UoZqDDwa4z9+/fjv/23/4aPfexj3V6K4AWQZZn7byuKwtO3yKsmxTvVm1MfeKohbm8w4nK5WCxHs9wDgQD3iW80Gjhy5Aj3Dbfb7dA0Dbquc/iTno+ma1ELT+qSV6/Xoes68vk8fvazn0HTNJw5cwbLy8tYXl7mA5ly8j6fj3O0JPyrVqtYWlqC3+9HNBpFX1+fyMP3OKQLGRgYQCgU4vns1MqYNCPU84Dq16k0k3rKLywsIJPJQFEUZDIZTgEB6Ajzk6iNyi4p3E99FnRdR6lUQqlUQrFYxPDwMPr7+/mCSYa+/U+r1YKu6wiFQnC73VAUBYlEgtdMNfzhcLhjSmIymWQNCjXIOXXq1Au2rO0V714Y+DXGli1b8L73vQ8//vGP8bOf/YxFT4Leg/rNt7fJBMAlZpRPd7lcfMjRJK720a00jIYMOT2fLMuIRCJsrBcWFtiwS5LEB3e7eK69i1778wHgtrTZbBbz8/O49tprkc/nsby8zHl86mJGF5T2qAClF/L5PLfg3bp1K2q1Gn9N0FtQNYaiKAgEAvB4PADQcfEkI0/iOLrw6boOv98PRVFQKBRQLpfhcrk4jUMlmLTXKaJDwjfKp9N+orQO6URoL01MTHAdPE2VA8DPaRgG93Cgr9HvHj13tVrl5k66rvPFOZ1OQ1EUpNNpNBoNbNiwAfPz8xyu73XWjIGnQ61XQiPdJBwO40c/+hGGh4cxNzfX7eUILoAOrpGREe4ZTx76iRMn0NfXB6fTiYWFBfj9fgSDQa4H1nUdyWSyo2MchfXJEwGAaDSKo0ePIhQKQdM0NBoNTE5OcujRsixkMhk+mKmGftOmTXA6ndzqlua605Q6Gk88MTHBHcPIg9M0DQMDAygWiygUCmg0GshkMggGgxxObTabrKBXVRW33HILbDYbHnnkEXEZ7VFov9KcdRKlkQdO3nuz2YTT6cSDDz6IhYUFFlYGg0EOh2uahng8Do/Hw2JS0oRQtzu6fNJ/6SJL/2+aJhvsYDCIcDjMeo5AIIB4PI5kMolSqYRUKoUzZ86gXq8jHo9jfn4e4XAYmzdv5tQUlYK6XC4sLS3Bsizkcjlks1kEg0EA4A55brcbsVgMiUSioyTwYu9ZL7BmDPzWrVtx+PBhUV8r6Hk2bdqEH//4x/jWt77FIUEybrt37+a64kAggHA43DFCk+ZYk0EnMVKxWORDRZIk5PN5DAwM8CFGf6eGOLVaDeFwGLVaDaVSCfPz85ifn8dDDz2Ep59+GsAzQjnqTkdtP6PRKG655RYkEomOdrjbtm2D3W5HLBZDX18fCoUClpeXoSgKP5eqqrAsi/8N5NmtBm9ovaKqKrZt28ZRpkKhgGw2y6p30zS5revS0hKWlpYQCoU47+73+xGLxVjgRh3xqGNcuVzG7t27O6I/uq5z85tarQbDMKDrOoLBIOtWaMJiOBzmihGaHhcKhThXPzY2BkVR+AJKA3LaezYAYP1INptFrVaD3++Hqqr8+Lm5OSSTyQ5h6nPRK/t5zRj4qakp7Nu3Dw899BA0Tev2crrGvffeiz/+4z8GAJHb7FFmZmZw++2347rrrusoGyKDTWU4fr8fjUYDqVSKc4kUYiQVvWEYKBaL8Hg8XMZGYUY6TEkgVywWUSwWWTjUXvseDAahKAqLpyjHb7PZ+ODdsmULrrvuOrz2ta/Fvffey5cLGgpCKYbvfe97mJubw+/+7u9C0zScPn2avbPvfe97aDQaLGzK5XKYnZ3lyIOgt2i1WqhUKjh8+DDe//73swFfWFjA+Pg40uk015f7fD4cOHAAV199NYs0LctCMBhEJpNBNpuF0+nExo0b+YI5MjLCSnpqGws809SmVCrx5VBRFC59o8ZLXq+X5yRQXlySJCwsLECWZYyNjcHv9yMcDncMQ2o2m8jn8+wQ0vckSeJLN/WnyOfzGBoaQjqdxpNPPsk1/s/X8EZ48JcY0zTx1FNP4c/+7M+gKAquvPJK3HHHHd1e1oozMjKCW2+9FZ/73Oe6vRTBc1CtVnHkyBFuuhGJRLBhwwZomsZlPXTYtIcxqVEMTb4CwHlCMsLttfEUPqevp1IpVhXTUA8aSxuJRLhE753vfGfHdDrqeT84OIjBwUG+QLeXC7U3K6EwKpXNaZrG+oGdO3cikUggFovB7XbzDG9B70Ih+X/7t39DJpNho3vmzBlEIhG+MNIeNAwD1WqVeyyQQaaLnaqqLMKk/5+fn+fLLPV4GBkZ6SjZ9Hg8fGGlPvfhcBixWAylUgkAuAafcvU0ia5arfKoWQr3U2SKtCbt0+9IgU9VKXSBoKE6QO8Y8edjzRh44PxB85nPfAYA8Eu/9EsYHx/Hjh07uryqlWXXrl2IRqPCwK8CnnrqKciyjMHBQSiKgs2bN7Oqvf3wIAGR3W5HOBzmvH37BaBarfKFgf5Q2JI64ZmmyZcFu93OP+N2u/mgbTabuPLKK1lkR8r+QCDAbXPPnDnD4VM6IOn5HQ4HhoaG0Gw2cfjwYbzjHe9APB5HoVBAoVDADTfcgGPHjiEejyMYDMI0Tdxzzz1d/BQEL4ZGo4FvfetbqNfrcLlciMfjOHz4MPbt28etlp1OJ5d60p6w2Ww4ffo0z3In7YimaQgGg7DZbCiVSshkMohEIpz/NgwDgUCAq0sA8PAZSlvRhbevrw8Oh4PnzQPno1+kxAfOT0Ts7+/v8PIpdUSVJuVyGYZhdKj7TdPktJKiKBgaGsL09DS/L73etnZNGfh2vv3tb+PQoUNIJBLdXopA8JxYloXp6WnuAkfGWdM0OJ1OLC4uYmhoCB6Ph9u+AudTUl6vF/F4HNu3b8cvfvEL7uFNHggZZPL+N2/ezAcpdZej7l/5fJ6V8KdOncIDDzzADW6ozEhRFAwODmLfvn2YmJjgHDyFSvv7++H3+zEwMICNGzdienqaLxKUfsjlcti2bRskSeLDXLA6oEtlo9HAwsICq+RtNhv8fj8PnNmwYQM3pgmHw/j6178Ov98Pr9cLr9eLYrGIUCiEoaEhNu7XXnstG9BUKoVUKoVarcb7o16vY3l5GY8//jje/e538+XQsiy+VEiShFAoxFGw9tny9Nok0KMeD3QRprr4dk+90Wggm83C4/HA7/dj7969mJiYwF//9V93vC8XM/K9YvTXrIEXCFYTsixzyRh5LHa7HePj4ygUCuyFFwoFqKqKSCTCdfTnzp2D2+3uaHRDHj+FKun7iqIgn8+jXC5D0zQuDyqVSshms1haWuJJWtFoFBs2bOCuZYuLi0gkEvj617+OPXv24NZbb0Uul0Mul0O1WsWZM2d40pjT6cSWLVswMzPTMRFP13UsLS0BAHt1gt6nvYSSKpZe85rX8Cjher2ORCKBarWKRCLREebesGEDrrrqKu757vP5EA6HEQ6HEY/HMTg4yHuyvRSTOHv2LM6dO4dMJoNbbrkFhw4dYs/9qquuAgAUi0WcO3cOS0tLGB0d5RJNilrZ7Xb8y7/8C0KhEPx+PyzLgsvl4gl3uq5z+qpQKEBRFPh8PmzevBmHDx/m5lI0GId60j+XB98r4fs1a+Bvv/12/NEf/VG3l9EVIpEI7r//fvzKr/wK0ul0t5cjeAEmJiZwzTXXoFqtcmkQle1QTpGUu1R/DDzTYYzmsdNjLsyvl8tlzMzMIBAIdIx3bTabyGazKBaLUFUVw8PDGBgYwLZt27iJSKlUYjHerl27sH37diwvL2NxcREPPfQQNmzYgHA4jFQqxaV++XweANDf39/xejSdS1EUVkc7HA7cfffd+MpXvgJd17vy/gteGDJYtBdoXCxNOqTuhzRGmL5OkR3KuZOxtdlsyOVy3HSG8t/ZbBalUolnM5AhHhsbw86dOzE6OgqPx8NldsePH8eWLVuQzWa59XI2m4XX6+UwPLW19Xq93BmPxKgAOALV3ss+nU5jamoKAwMDHEWgnD018qFa+V5mzRr4gYEBXH311d1eRldwOp248cYbuW2joLdRVZWHWVA4nMriyGMgoRF512RMSVFfqVQ6Pm8a5WkYBnsfxWKRn7/RaMA0Tc4x+v1++Hw+SJLEtb+Uq6fwPOU+yXAfOnQIXq8Xbrcbfr8f5XIZ9Xqdp40Vi0U4nU5utEPhz/ZGPAAwOjoqylt7jAs90/Y92dfXhz179rDynbx6EtvRJEIA3HWOokuUhqJQucvl4gqMbDbLhprGIVerVd5ffX193KWO+ioYhoHp6WlkMhn+XaE8u6Io/Htw4sQJpNNpjmaRiLW9kRMNd6KQPaXDqDyUujlGIhHuX/9cBr5XDP+aM/Dj4+Nci7teaTQaOHfu3KqaerQeiUQiXGpGeUEAPFubDqH2+ek0GpZKfcibot7dpFZ3uVzIZrPcunNkZARHjx7lw4x60judTvT19bECWpZlLC4uYmlpCc1mk7UA1Cfc5XJxC9rFxUW43W54PB5EIhEcOXKELx0AkM/nO3KlNCKUGp7QXO6jR4/yBUbQu1BFxujoKK6//npUKhUWWgLgyBF9/rVaDel0GqZpYmBggPcN7XdKDZVKJTSbTSwvLyOfz7PXThdXyudTBIomwtEshZMnT3JKii65NIDJ4XBA13X8/Oc/58tr+wREqjShktNCocD5d1VVeeZ8MBjktrbBYBCLi4vPGpXbi6wpA2+32/HEE0/A7/d3eyldJZlMYtOmTd1ehuB5sNls+MM//EMsLCxwaVBfXx+q1SoPd6GcZftMd4/Hw4Nn2gfQ0KQ38oqLxSL3z6aDdXx8nA0uhf7pICSxXLPZRCaT4RyqaZpQFAVzc3Nc2tZqtRAIBPB//+//5X+PYRjcCre9A5lpmuxR2Ww29PX1cWMUai36+c9/vhsfgeB5uJjhUhQFr3nNa9Df34/jx48jHo9zD4dWq8Wh+Xw+zyFsSgN5PB5Eo1F4PB6+mEajUQDnlerLy8sdIW+qJKFmM9RHIRwO8yjYUqmEer2OVCrFI459Ph+y2SweeeQRFuqR+G98fBymaWJubq7DAycBHgCuRKE9fPDgQeRyOfT392Pjxo0YHh7G1NQUqtVqzxt3YI0Z+GaziQ0bNuCf/umf8NrXvrbbyxEInpNWq4WPfexjuOqqqzA+Po7+/n6uz6VZ7JRzp+EXZIAVRYHf7+cwd3vLUCofKhaLGBsbg6ZpiMViGBkZwYkTJ7gZDXkpJDSiWmXy+Ol1SelOIj2KLuRyOeTzee7ypaoqrrzySu5MRqNrG40GRwGq1Sqmp6fhdDrZixIiu97kYuIxmgA3NjbGXeDq9TpHmKgWHgDXqyuKwiF2qiGfmZkBcF50eebMGTz22GNYXFyE3+/nGQbRaBShUAgTExNccZHNZjm65PV6EQwGeYxyIBBAqVTCkSNH8NRTT0FRFC7Xc7vd3EY3HA6jWq3i+PHj2LNnD6cAaI9OTU2xyC4ajSIajWJmZgbNZhOJRAJTU1MoFosvGHESIrvLRC6XE12xBKuCSqWCaDTK9b9U5kYhT6pxb2+sQWFHOnxJkEcHrKZpbPg1TWNP+ejRo0in05xnp8sA9Zlvb/5B8+cBsKCPwuwklnM6nXjggQdYzESeFHlGJKCjiXg0Ltbr9XIagS4Ugt6j3biTsaI9QnuU0jg0CY7qzilN43K5EIlEOkYi12o1jhBRMxxN0xCNRjEwMMAiUa/XC4/Hg+XlZRZkUhe9cDjM0aXp6WmcPXuWL4w0WTGZTKJcLnOnRvo9arVa8Hg8GB8fh67rLPikED1FCqgunsruKPqg6/qLSn32ine/5gy8QLCaoPBgoVBgwRtBB097yJBGZgLoaGJDKmWfzwePx8NNa8jAF4tF7nBH4Xdq+EH5fYoS0GWDwu0UXqcWndTdbm5ujpX8jUYDHo+Hc5q0fooCUKqBqgDoa+QJCnobulyScK1SqfD+o1w4dZ0jo0rjgcmTtiwLlUoF5XIZADpC9S6XC36/v+Ni6XQ6uVyOLoQ00pUuGoODg0ilUly6VqvV4PV6kc1moWka7+Hx8XFW1JMnn8/nO6YyAmAtCqWxSFQaiUQ6Jt6tFoSBFwi6CKmI6/U6yuVyxwhXGroBoGP6VjgcRqFQ4CY25C0Fg0EeBUtCS/I4NE1jQ02HlGVZfBGgPDnl5slbo2gB5fiB85GHSCSC5eVlbvNJpU/AeSGgJEmoVqtIp9NcXyxJEtLpNGKxWIdaWdDbtHuj1OOALnl0waPQumEYLE6zLAvz8/NYXFzE3r17eaQxecvt3ebaQ+p00VQUhSfNAec7Ouq6zhGoQCCA173uddiwYQPm5uZw+vRpLC4uoq+vDxs2bGDPv1qt4jWveQ1mZ2dZCEjRJFpPs9mEqqp8kaHGPQCwf/9+GIbBXfJWE8LACwRdZNOmTRgZGcFTTz3Fk6uoPK5cLnMIlIzw0NAQlpeXO0p9KPfZPjkumUwin893qObbBU4UPj9z5gwf2OS1A+CcJAmbyDOq1+tIp9PcrKZ9yA2V4dVqNRSLRWQyGfj9fi6TkmUZQ0NDmJ2dhdvtRiAQEOVxqwi73Y4DBw4gn8+zwC4ajXL6JZfLIRaLYWlpCZVKBTabDbIs4+GHH4bdbsfY2BgikQjGxsYwPz/Pug66aNJ/6UJIZZaNRoN1HbquY2FhgQcife9738Pp06eRTCbhcDgQiUQwPDyMvXv3IhaLQdM0bl4TCAR4DDLwzDAnihpYlsUXF2oQ5fP5UCwWkU6nceLECRw6dIgja8+HyMELLgv33HMP7r777m4vQ/AioZp0Km1bWlriOl8ynKZpcv16NpvlTlzkvbfnPtuVyJFIhMuJqIyoVCpxaZ2qqqyqp9AqGd1AIMDhV8MwUKlUeDohKfepEQ8dwDQAxDAMGIYBu92OQqHAdfyNRoNHiNrtdhw9ehT33ntv1957wUuj1WqxwI0a2LRaLcTjcTbENpsNPp+vY+zrq1/9avT397Neo1QqIRQK8YXS5XIhn8939GawLAt+v5/bLIdCIYyMjMBms+Hs2bOYnZ3lMtDh4WG85z3vAQAsLCxg7969PK0QAAtQS6USVFWFz+cDAFbCU+jdZrNxmZ0sy6xlobp+wzCQTCZf0LjTe9ULrEkD/1d/9VdIp9N497vf3e2lrDjlchnz8/PdXobgRfLNb34TO3bswNjYGBtBCnHW63W43W7usw2APZ723Dk16KDWtGTwqWsX/WmvnSejT41BqAFJuzfVaDSg6zrS6TT3wyd1PQnyKNxqt9uRz+c5FUDrpQlgNFmM0hB0YaGud4Lehy6YuVwOdrsdwWAQxWKRjRmFzin6I0kSh+G9Xi/PJWi1WkgmkygWi9B1HaZpwu12s86DLgiWZXFOnNJW1WoVPp8P/f39rDlxuVwIBAKcZioWi7w/bTYb7zu3282CwPbGS+2X6fb/z+VyrAuYm5vD/Pz8qustsiYN/H/8x38AON8h64YbbujyagSC54ZCnpIksZFvbxjSLrQjBTsNhaFcJXC+sUetVuOpXtQ4J5/P8yFK4Xw64KjRDUUPKMRPjUQsy+LSOGrhSUp68npI9SzLMsrlckdUgS4O7XPqqUlPPp9HoVDo8rsveKmUy2XkcjlkMhls2rQJiqLwqFUquaT9oCgKi+9IBEeRJMMwuP8D7RMqq1MUBZIksXiO8uKWZXHHOpfLxVGEdvEnDWRq78dAuX0AnNaiSYr0O0aPJ40KNeIhLQBdbHrFM3+xrEkDD5w38seOHVtX0+RE2dHq5OTJk0gmk/jjP/5jPoxI9EOh8HZBmt1uRzab5e51Q0NDnPMkdXwmk2EDTU1HKBpAIUsKv1erVbhcLu4u1970o9VqIRKJsLdPZXOGYSCdTrNiWlEUninfXlZVKBQQCoXY06ILzIEDB3D48OHuvOGClwwZtlarhcXFRTz88MMYHx/H4OBgRwUIec+UdiKjSWI8qqSgsceqqkLTtI68N40qJo+cvO1ms4lUKoVcLodwOIzh4WH4fD5YlsWiUwDw+XwwDAPZbJYjYcD5kbHUC58aOFG0yrIsDutTa+VGo4FSqYSJiQkO1ff6eNgLWbMGfj3yrne9C//2b//W7WUIXgbVahWPPPIIrr76aj7M2vPqwPkWxJVKBR6Ph5t8mKaJZDLJ/bHJoJP6mELlFKIHzne5o4tENBqFz+dDPp9HNpvFrl27eBod5Scty2IjTjX3dBBT6J3G1NJrUojVbrdjYWEBAOB2uzE0NITPfOYzSCQS3OtbsHqg7oSUz964cSNOnz6NpaUlLCwswLIsRCIRNoQUGSqVStzDwWazoVgsYmhoiL196sdAFwDDMHjgDLWtbTabGBwcxFVXXcUXBzLm8/PzME0THo+HL7KlUomNN+lClpaWoGkavF4vV3IUCgUYhoFisYjNmzezit4wDJw4cQKnTp1i/cmLyb/3ErbWarqOXMALKRVlWcaWLVsAAJ/+9Kfxxje+cSWWtWJ87Wtfw2c/+1kAwCOPPIJf//Vff8kGfhV//KuKF9qrNpsNXq8X0WgUr3nNazA6OgoAHE6n0Dq1kg0EAhymb7VaXINMXk8ymUQsFuNoQHvYn0RMAFj1rqoqt8G12WyoVCodPfFJcETema7rPJCDvC3qWkdePCmiT506hRMnTmBqagqNRgMbNmzAkSNHkEqlXtJ7KPbqyvF8+5U+21AohNHRUdx0003YvHkzJElCpVLhWnObzcZedalU4oshjQ0m/Qc1eCIjD5z/rCmtRHuXlPXBYJDr5IPBIObn55HL5Xh6ncPhwMzMDMrlMrxeL4+jJb1Hs9lEuVzG1q1bkUqlkM1mUa1W0dfXB03T8Pjjj2NgYAD79u2DJEn40pe+hDNnzrCo78W+f71wGVjTHrxlWThy5AgArDkxz//+3/8bCwsLuPPOOwGcv8AcPXq0y6sSvFxIHEQe+cDAAAYGBliURp6PLMsc6iY1OuUT20OhHo8HlUqFvab2fCPlOKnZjGVZnCel/D7VBpOAj9IElG9tz6nT61PUgARWzWYThw4dwtTUFEqlEuLxOO666y584QtfEN77Koby4clkEpVKBTfccAPC4TBfCihvTX8vlUosxATApWt0GaW943K5OvYkiUTby0BTqRSL+OgSUCgUWLGfz+fh8/mwvLyMoaEhVKtV/PCHP4Qsy/B6vfD7/Ty8xuFwIBQKcdppcnIS5XIZ+/btQ71ex/T0NA4fPoxEItGRAnghKAXWC6xpA9/O2bNncfr06TUzhOXQoUPYtm0bPvKRj6DVaiEUCq25S8x6pL0l58DAAAzD4GEeFK4nNTvwTMiUxEPNZhOWZUFRFOTzeRa80QWA8vb0WOok1z4i0+v1sqKZcvXtffHJoLf3q2/P/wNgRf7Pf/5zFItFjI+P4+abb8av/dqv4fd+7/e4m5lgdULh9FKphGQyiWw2i76+PjbstB8B8FAYGoRE3zcMgxsqkeYEAPeBMAyDVe50GWjvOgeAOzVSBGBpaQmKomBxcRGTk5OoVCp48MEH0d/fj/HxcZ6M6PP5OGpGufjR0VGUSiX4fD6cPXsWjz/+OP793/8dADicv9pYNwb+T//0T/HEE0/gnnvu4Y222mgPZ335y1/mw3w1bjzBc3P48GHMzs7izJkzGBkZwaZNmzg8T8NgfD4fd56j/Uwh9VqtBl3XeeoWCYpoYEc4HIbf7+c6dWpgk8lkuJc8dSxTFIVL30isRGI7GnxDHfLcbjf3mqcOYrVaDfF4HHfccQfe/OY3453vfKcw7msE8r6/9rWv4fjx4/joRz8KRVF4GAulfaihjM/nQyAQYD0IVXhQ+2XqF0+iunPnzuFVr3oVe9hOpxM333wzFhcXAYA1KqFQiC8Wy8vL+O53v4tAIIDdu3fzBMNoNMoRAVLfe71eJJNJniN/7NgxjI2N4V//9V8xMzPD6aSpqamXlB6iy0gvsKZz8BdCc+Jpg6w2Dh48iJtvvhmpVAqKouCv/uqv8Pu///t80L8cVvHHv6p4OSE7r9eLr371q/jGN76B4eFhjI+Ps5DO6XRyf2/yQCh0TjlGatxBIXkKMZK6ORQKca9wEuZRgw8A7EU1m03Mzc1BURSeTEdDPyhMS7XLbrcbjzzyCB555BFkMhns2LEDV199NU6fPo0f/OAHHA14OYi9unK82P1K4WjqbbBr1y7ceuutiEQi8Pv96O/vR7FYRKFQ4JnutVoN09PTHU1tSOfh8Xh4muLMzAyq1Sqr7GVZRjQaRaPRQCaTQblcRjQaxfLyMgBgbm4Ohw8fxtNPP409e/ZwaN/v96NarWLnzp0dg5bGx8d5rjtwfr//4z/+I5fwJZNJ1hW81L3XKzn4dWXggfO3vv379+Mf//Ef8a//+q84deoU/vqv//oyrO7l87nPfQ5LS0v43Oc+1/F1Xddx6NAhfOITn4BlWZibm8P09PQreq1V/PGvKl7OXrXb7ZicnMQnPvEJPPzww3j00UcxODiIHTt2QFXVjhncJKBrD2MahsElb6R6zuVyCIVC8Pv9/BoUnidPig7s9lG1Tz/9NAurotEoTpw4AcMwcPLkSWSzWYRCIZRKJb6E0Ezw2dlZnmqXy+Ve0Xso9urK8VL2K+XWqT/85OQkNm7ciLGxMYyMjLAHrqoqZFlGJpPB0tISXyrJ4JJhp3QSXUjbJyZShIg8fYfDgaWlJc6/53I51n4AQCwWw6ZNmzA9PY1MJgObzYbR0VHcfvvtnGKguviDBw/i/vvvZ50JiUfbu0O+FHphv66bED1Rr9fxs5/9DP/zf/5P7pHcC1QqFXzpS18CcL6MidT/7ei6jgMHDuChhx5adR2VBC+dZrOJY8eO4ac//SmefPJJpFIpXH311ZiensbY2BgfmFRb3j6co9FoQFEUzp2T8p0mfFG5HU15a+9ZT6FSigBQL2/TNJFOp5FMJnH8+HFuekIldw6Hgw/Yer2OUqnE3ptg7dJeI18sFnHmzBkUCgUsLS0hnU7jqquu6qhHV1UVR48ehcPhgN/vRygUYrU8nce0p2mgDUWXqPSSGuKQKJTy95QWOHbsGHRdR7FYxNzcHM6dO4dUKsXaELqgkoakUCjg+PHjPHWR/k294IW/EtadgSc+85nPAAD27duHU6dOYfPmzV1dj2EY+Nu//VsAwH/+z/8Z119/PU6ePNnxmMOHD+P3f//3u7E8QRehCNPGjRsxPj6O6elpHnXpdDq5hI2EcwBY+U4tZ0mEpGka1677fD72ougPhfbbu3ipqopUKoVyuQxN03jgTLFYhCzLUFUVjUYDkUgE9XodlUoF+Xye698Fa5t2T5X2RiaTQSKRQDKZxL59+7h00m63IxAIYGZmhvdtLBZj4R31aiDNR/swIuqzAIA9fcuyuK6d1PdOpxNjY2M8TbFYLPLsesrTP/zww/xcuVwO2WyW01FriXUXor8Yqqoin893iO/aOxZd7pKHC1/nAx/4AL785S9f1te88LUFl5dLtYcURcHjjz+OP/mTP0E2m8WGDRtwzTXXwLIslMtlLp2jQTHkzQPg0rhjx47BNE3ccMMNiEajKJfLKBaLXLp23333odVqoVQqIZPJoNVqIRaL4bbbbsNNN92Effv24bvf/S6++c1v4sSJE0ilUisSURJ7deV4JfuVfpby8p/97GcxMTGBUCgEu92OM2fOsNDS7/fD6/XiyJEj8Hg8fEmlAUs0151GDft8Ph5CA4Bz+tQnAgAymQxOnTqFe++9F1NTU3xRJeEn7VXqVkfrvdT7qxf267r14NsxDAN9fX389x07duDBBx/E6OgodF3HXXfdhf/xP/7HZXnt97znPfjOd76DWCz2LI9dILiQarWKa665hjvNnTt3Drt27cIXvvAFmKaJYDCIiYkJ7N+/n5XF5D1RSN2yLJRKJdx7772IRqPwer3I5XKs3JdlGf39/QiFQtiwYQNe//rX49y5c/jJT36Cb3zjG9xSlJTJIl0kaKc9vF2tVvEHf/AHbOzj8Tje+MY38ijkgYEBbNq0CaFQiA18NpvF1NQUpqenccUVV3Q4QDTohurYaY4DlZHKsgy/34/7778fc3NzLJDr6+vj0s4LBcm9YIgvF8KDvwg+nw/XX3897rvvPvzJn/wJfumXfgk7d+685K9z55134oEHHsDi4iIURcFtt90G4HwofmZm5pK/3sVYxR//quJy7VVFUbhd6Lvf/W7s378ffX19OHjwIB599FFW3dNIWBIPAee72Hk8HlbZ+/1+XHXVVUilUjh27BhSqRQajQa2bduGkydPYmZmBqVSiRvuqKraMV/7ciP26spxqfZru76DjPzAwACndGKxGAYGBhCPxxGLxdjTzmQyHHmiVrUulwunTp3ioUzVahWxWAyzs7Pw+Xyo1WpIp9NYWlrC9773PRQKBdaSUBpppcqKhYr+ErAS3YI++tGPYvv27fz3d7zjHTwz+GLU63X84z/+Y8eHa7fbceedd3I+qVQq4V/+5V/w27/9212vCV7FH/+qYiX26tvf/nbs3LkTbrcbP/3pT3H06FHOO5ICmcbNkmipVCqxRxSLxfDqV78ahUIBR48eRTKZ5Lx7IpGAaZpdPbTEXl05Lsd+pecko09DiLxeL2KxGJex0fjXUCiEqakp/vlisYgTJ04gHo9zid3AwABkWea9PD8/j+PHj+PcuXN8QWh/7ZXaQ8LAXwK60Q7w8OHDCIfDz/l9wzCwZcsW3lyyLCMej+PkyZPs7czMzOA1r3nNSi35eVnFH/+qoht7ta+vj2uP+/r6MD4+jkKhgFwuh1KpBNM0cfz48Y5RmZZlIRgMsuq5Wq3yII5u75Vuv/564nLt13Yj3z6q1TRN3HrrrajX6wgGg9i7dy+Gh4fx5JNPolwuI5PJ4Mknn0Q6nQYAFof6/X686U1vQjab5YFJTz/9dNeNqzDwl4Be6ff7fOzdu5drMm+66SY88MAD3V3QBazij39VsRr2qtPpxMDAAIc6X2zv7ZVC7NWVo73tcDcgRT3VxAPnjTrNXgDO71e/388NmaiTY6/QC/tVGPjLDJWBAEAqlRKH5jplNexV4JkZ8L10UBJir64c3d6vFMa/WCUTfY0iT9QdsZf2h/DgLwHd3oRrgVX88a8qxF595Yi9unL04n692JroEtCLe6MX1iTK5AQCgUDQ81zMYPaCEe1leqNPq0AgEAgEgkuKMPACgUAgEFxCeiXFIQy8QCAQCARrEGHgBQKBQCC4RLR37+s2QmQnEAgEAsElopdU/cKDFwgEAkEH7WNa23kh75QGG7X/eTG8FI/3wue9FN7yhWtuf40LW+xeqtdcCVZ1HbxAIBAIBIKLIzx4gUAgEAjWIMLACwQCgUCwBhEGXiAQCASCNYgw8AKBQCAQrEGEgRcIBAKBYA0iDLxAIBAIBGsQYeAFAoFAIFiDCAMvEAgEAsEaRBh4gUAgEAjWIMLACwQCgUCwBhEGXiAQCASCNYgw8AKBQCAQrEGEgRcIBAKBYA0iDLxAIBAIBGsQqdsLeCWslpm8vYyYFrwyiL36yhF7deWQJAnNZpP/fjnfe5vN1hOf7Utdxws9vhf+TavawAsEAoHg0kPGaSWMVC8YQuClr6NX1v18iBC9QCAQCDpotVqrwoD1Kr0SsRMGXiAQCAQdCOO+NhAGXiAQCASCS0ivXJCEgRcIBAKBYA0iDLxAIBAIOuiVHPJqpVfeP2HgBQKBQCBYgwgDLxAIBIIOeiWHLHhlCAMvEAgEgg56JcS8Guml9040uhEIBAJBB8KDf/n00nsnPHiBQCAQCNYgwsALBAKBQLAGESH6y4TP54Mkdb69xWIR9Xq9SysSrDcuNgzjYl+z2+2w2+2w2Wyw2+2QZRmGYaDRaKzkcgXrFMpZv1Bom/Yu7VVC7NPnxtbqpYTBS6SXxAwXcujQIezdu7fjazfddBMeeOCB7izoOVjFH/+qoht7NRKJwDRNvlTabDZomgZd12EYBj9u48aNiMfjiEajGB4exvXXX48//dM/xZEjR1Z8zc+H2Ksrx+Xcr+3PTZ+pw+HoMNQXvj49zmaz4VWvehUikQhcLhc8Hg/uv/9+zM7OXrb1vlx6Yb8KA/8iGRwcxP33389///73v48Pf/jDz3qcqqp44oknsGHDBiiK0vG9ubk5GIaBRCKBW2+99bKv+cWwij/+VcVK7lVJkjA6OsoHZrVaRalUgtPpBABYloV6vQ6Hw4F4PI5wOAy32w232w2fzwcAmJ2d5YvBo48+umJrfz7EXl05LvV+vdBLdzgcaLVacDgcCAQCeOc73wlN01Cv13HixAl897vf7TDq9PNvectbnvW8gUAAMzMzKJVKqFQqOH78OCzLuqTrfzn0wn4VIfrnwGaz4dOf/jQbaZ/Ph02bNnU85vOf/3zH30+dOoWvfvWr2LRpExwOx7Oec2hoCAAQi8Xw+c9/Hh//+MdRqVQu079AsB6w2+3weDxQVRXDw8Pw+XxwOp1QVZX3lmVZKJVKqNfrqFQqME0T1WoVjUYDAwMDkGUZNpsNtVoN6XQa9XodiqJgaGgI4XAYxWIRJ0+eFKFQwStGkiT4/X5s374dzWaTU0F+vx+apqHRaGBsbAw333wzZFlGKpVCvV6HaZrIZDJwOp2c+iQD6nK5AAD1eh2NRgNerxelUgmNRoOn4q30zPleiS4LA9/G3r174fV6AZw/OD/84Q9DVdWLPnbTpk24++67O772xBNPYGpq6gU/XL/fj7vvvhs/+clPUCwWkUwmceLEiUvybxCsD1RV5Xz50NAQAoEAtm/fjkgkAkVRUCwWkc/n0Wg0+ICs1WpoNpuoVquoVCqoVCqYmJhArVZDo9GAaZpYXFzkPS9JEjRNwxVXXMEHpmEYyOVyXf7XC1YTkiQhFApBlmXIsoyBgQFcffXVsNlsyGQySKVSqNVq0HUdrVYLHo8He/bsgdvtxsmTJ2EYBkqlEmw2GyqVCjRNgyRJfM6Wy2UYhgHTNGFZFnw+H+r1OkeqesGb7xbrPkRvt9vZS3/ooYdw5ZVXvuLnfKl885vfxHve8x6Yprnir72KP/5VxaW60dPzbN68GbIsw+VyYf/+/YjFYnA6nVAUBZIkIZfLIZVKoVQqwTRNNJtN+P1+7N69G5IkwTRNFAoFjIyMIJfLodVqoVAo4D/+4z8QjUZRKpWg6zokScKtt96KZDIJh8OBqakp/PjHP+6KNy/26spht9svyftts9kQj8dx7bXXIhKJwO12w+v1IhaLQdM0FAoFzM3NoVAowLIsyLLMxts0TUxNTaFer6PVaqFer8PtdkOSJCiKAqfTCZvNhmKxiGq1ilqtxkY+l8vxpbVQKKzb/bruDfy1116Ln/zkJwDQcStcSVqtFubn5zE8PNyV1xZcfi7FvvJ6vdi6dStM04Tb7YZpmnA4HLjtttsQDAbZ867X62ygZ2dnUS6X4XK5sHv3bgSDQdhsNliWBcMwoKoqms1mxz548sknYRgG5ubmMDc3hyuuuAJer5cP1FKphG9961uv+N/zUhF7deW4FPs1Go3i5ptvxoYNG1AulyFJEjweD9xuNxvwSqUCwzBgGAZSqRQAQFEUDtcnEgkEAgH4fD60Wi0oioJcLsfefiwWg2EYWFxc5PB/oVBAvV7HFVdcAZfLhTNnzuC73/3uK/73vFR6Yb+u6xD97/7u7+L9738/ZFnu6jpsNlvX1yDobcbGxrBp0yaMjY1BURSYpolGowG73Q7TNCFJElqtFprNJizLQrPZ5P+nsGcymUShUIDb7YaqqpBlGY1Ggw035So3btwIXddRKpVw7tw5yLKMYrHIFwMRohc8F+T5h0IhTExMYNu2bahUKrDZbHC5XHC73ajX62yUbTYb/H4/KpUKHA4H/yHvOxKJQNM0qKrKF9d6vc6p1OnpaQwODmJ0dJR1Tx6PB4VCAZVKhSNXLpcLtVoNADgvvx5Yd41uXC4X/vAP/xChUAgjIyPYsmVLt5cE4Pym/MM//EP4/f5uL0XQI9hsNoRCIXg8Hvh8PgQCAYTDYYTDYcTjcYyOjmJiYgLRaLRDeES1wrquo9FooFQq4dixY6jVaigUCiiXy7Asi+vfKU9PP+d0OhEIBDA5OYnrrrsOg4ODLIiiNFI4HIbdvu6OD8FzQD0U7HY7VFXF5OQkdu/ejWazCVVV4Xa7WSDn8XjgcDi4qoNKNh0OByRJgsPh6NifFJ6nC6gsy3wRcLlcaDQacDgcvB/pMaVSCblcDpVKBUNDQwiFQvyavSKCu9ysGw9+eHgYwWAQPp8Pn/rUp/DUU08hEol0e1mMpmn41Kc+hYMHD+Kxxx5DNpvt9pIEXcLj8bBXvWHDBhQKBQ7BS5LEqmO32w2XywWHw4FSqdQRam82myiXywDOq+hnZ2exd+9eNBoNFh/Z7XY4HA6YpgmbzdbRmMntdmPz5s3YsmULcrkckskk8vk8AMDpdGJ4eBiWZaFSqYjmTescTdPgdDrRarU4TTQwMIBYLIZisYj+/n42wOTJK4qCUCjEqSSHw4Fms8mRTPp/ulQ2Gg1IkgRZlmG322FZFizLQjgcRr1eR61W4+enfHu7pml0dBSapmF2dhbVanXl36QusS5y8Ha7HV/96lfxa7/2a5d5RZeGD3zgA/jyl7+8Iq+1ij/+VcWL3as2mw3XX389NmzYAMuyEIvFUC6XOQeezWZRq9Wwfft2eL1e9rjT6TSq1SparRYajQaXF9VqNdhsNrjdbliWBU3T0Gq14HK5MDQ0xJcDeh76L4UzbTYb8vk86vU6jh07hoWFBViWhaGhIczOzuL06dNYXl6+nG8dI/bqyvFSPNzrr78eAwMDyOVy2LVrFx544AFks1n4/X5cf/31iMfjaDabbIANw0AwGISu6yiXyyiVSshms3zhbG96Q3n6RqMBj8fDufl8Po9KpYK+vj5WypPotF6vQ9d1rjJRFIWN+uOPP46zZ8+uSNlcL+zXdeHBnzp1CqOjo91ehkDwgrzvfe9DIBDg0KSiKPD7/VxiFAqF8G//9m8AgFAoxKriSqWC+fl5KIqC/v5++P1+1Ot1VKtVNJtN9pxInFSr1ZBKpdjI12o1vgyEQiGOFNRqNTgcDiwvL8Pr9WJ0dBTVahUulwuDg4NYXFxcMQMvWDmeywC2N6yx2Wy44YYbsHXrVsRiMdRqNfzDP/wDgsEg3vrWt2JychKHDx/G8ePHcfXVV8Pn86FarWJ2dhalUgnFYpH3VyQSQbVaZRW83W5HvV5Hs9nk3g6UOnK73Zifn8fi4iIbdABcxqmqKpxOJxqNRkf75UgkAq/Xy3t7pWvju8G6MPB0CK4WPvKRj2B0dBQf+9jHur0UwQpDBteyLEiShGKxiEajwbl4ANi5cycmJiZYbDc1NYUtW7bA4/FAkiR4vV7ouo5MJoPp6Wnoug5VVbljncfjgdfrRTgcZgEeADbc5L0D56NfhmHA5XLB5/NxQ5xCoYB8Po/+/n40m01MT0934+0SXCbaDR91kmvXXFDb46GhIXi9XtZv3HbbbfB4PGg2mzh69CiH2BOJBMLhcEcI3mazsTCOatVlWeYUUq1W45y8aZqYn59HLBZDMpmE1+tFX18fLMtioSiJTO12O+9jigg0m02YpgmPx4NAIIBMJrPmjTuwhg385OQkbrzxRgDgA2y1sHXrViQSiW4vQ7BChMNhjI2Nwev1IhAIoFwuw263Q9M0WJYFh8PBl9R6vY7R0VGEQiH++VAoBEVR4Ha7WWSnaRoqlQq3nnU4HFAUpWNQR6PR4FAoXYBlWebDmsL9jUaDS5fI26eQaTgcRrVaFQZ+jUJ7hXLo5A37fD5s374d0WgUqqry9/ft28dpnUKhwCF1SiF5vV6+QJJYjqJHVM9Ol1TysB0OB18o6IJAhtuyLJTLZf79oMdKkoRmswkAXG1iWRZUVYXP5+O6+7XOmjPwIyMjsNvtePOb34z//t//e7eX87JRVRUjIyPC0K9hfD4f7HY7Jicncdttt2FoaIjzh5Ikwe12s6FvtVrs2YRCIT7cHA4HJiYmUC6X2esxTRMjIyMwDAMbNmzgOmNVVfkwLZfLHPan/KWiKKxIpoPXsiz2tOgAbTQa0DQNkUgEDocDhUIBLperK42aBJeH9hw8GUwKj/v9fvT39+Omm26CrussfLPb7ZiYmODytkqlgnQ6DVmWMT09zd0UZVnmx9hsNtTrdZTLZSwsLKDRaMDn8yEcDkNRFBQKBf5diMfj/P9UBgoAlUqFmzzJsox6vc5rpgsqXRZUVUUwGEQqlbqsBr5XVPprysDb7XY8/fTT7LWsZq6//nocOXIEgUCAN7Jg7WCz2fDe974XgUAAqqpylCmdTnNuvV6vQ5IkPhSpSx3l5qvVKnRdZwMcCoVgGAaLkjKZDIf4KRRKlwOXy4VoNMqHKxnwRqPB4cxWq8V5/zNnzqDZbEJRFBiGAY/Hwz3sQ6EQrrvuOvzwhz/s5lsquIRcLET/m7/5m9i3bx8ikQgsy8Kjjz6KZDIJu90Or9eL/v5+vuwNDg7C4XDg5MmTOH78OD8mGAyiVqvh1KlTqFarsCwLy8vL3Hnx6quvhqIoOHToEK6//nqUy2U4nU54vV6+EAeDQb7wZrNZboIDgMs5SdnfaDRQrVaRTqc5TUUXh1Kp1K23d8VYMwZ+y5YteOihh7gBwmrn/vvvx9vf/nZh3NcgoVAIv/qrv8pDXajkrVarsTdCHordbkc6neZhHGT0W60WcrkcZmdnMTg4CEVR2OhXKhUoisLeOw3hWFxcRKFQgN/vZ2+H6pGdTiccDkfH4UgiJ7fbjeHhYeTzeZimCZfLhfn5eQSDQVQqFczOzuKnP/1pt99WwWXA4XBgdHQUH//4xzE2NoZisYgzZ84gl8vBsiwMDAwgFApB0zQoioK+vj709fWh0WhgaWkJc3NzGB4e5vK1arWKfD4PTdOQyWS4KROVwj366KPQNA2apuFrX/sa3vve9yIajXJUifY/dcCz2Wx88SRRaKPR4MhUq9WCJEkYGhqC3+/HoUOHcOzYMRQKhW6/tSvCmjHwkiQhGo12exmXhK985Sv4h3/4B6TT6W4vRXAZIO9jamoKqVQK8XgcAwMD7F2Qmp1qikkdTHl08up9Ph/Gx8chyzLXDft8PsiyjKWlJZ4yRx3tfD4fDMOArusAwJ6P2+2Gw+GArus4duwYJiYm4Pf7WZxEEQSv18uXBQBIJpM4deoUzp49uy7ymesN8twrlQoOHjzIER/qt1AqlbB371709fXxhXBgYIDbGRuGgUAgwCp3quqgfg402bBer2NkZAQPPfQQBgcH4fV6YVkW3vrWt8Lr9XKInV6DokyUl6dhNBQRUFWVf6a9Q2gymeRoQbuQdC2zZgz8WuLgwYN48MEHu70MwWWi1WpxmFtRlI7SI/Jo2svU2lvTtqvsaYY75dMlSeJa4uXlZc7hkwDK7XYjm83CNE2YpglN0/g5AHB5kq7rLKgDwE1EqPkORZUSiQTOnTuHZDLZnTdScNloV863Wi1kMhnkcrkOMWZfXx82bdoEv9/PjZWoyoIMqN/v51LNer3OYXNSyNPlNB6PY3h4GENDQ9A0DbquY2JiAg6HA+l0GqVSCZIkoVwuc+VGtVrldsvtDXGcTidKpRI3gaLXy+fzfBG43MNnekWhvyYMPAkn1gLZbJZbNwrWHjQJq9Fo4Oabb+Zctt1uR6lUQj6f7xDRZTIZ9Pf3Q9d16LqODRs2sJEllXu1WkUwGOTDmFT3VO/enr9PJpOo1Wrc4nNgYIAPbYfDge3bt/NjSLVPByl5W3RBOX36NJaWlsR+XcNQ5GZ0dBTFYpG1Im63G3v27MGmTZtgWRZ0XYdhGFheXuYUksvl4ksjlayRCI7U9e3d53bt2sVakEAggKWlJYyNjWFubg5PP/00TNNEqVTCzTffzF6+w+HgC0R7Xh4A94+gUbTFYpEvAeuFNWHgP/ShD+Ezn/lMt5dxSdi7dy9mZma6vQzBZWLv3r3Yv38/ZmZm+DADwLPYx8fH2bOx2Ww4ffo0NwKRJAmnT59GX18fe+PFYhE7duzgnCJ58aSap7I3Xde51Wyr1UKlUkGpVEIqlcIVV1zBNcoUVm21WkilUmzsH3roITidzo6owdTU1LoJda43qJFNJBLBli1b4PP5MDQ0xOJL6i1fqVSQyWTYwx8bG8Py8jJfPg3DgM/nw/LyMrebJcNPPeoBIJ/P4+TJk8jlctA0DZs3b4bL5cLp06eRzWbhcrkwMDDAehNKYQ0MDODUqVPs3c/NzUHXdezcuZPFpsD534snnniC58pfbg9bqOjXMYlEAjfddNNFvzc/P7/CqxGsJM1mE06nE7t27YKqqnjqqafgcrmwadMmlMtlqKrK4fF8Pg+fzwdFUdijX1xcxPDwMEzTRDgcxtDQEAzD4FAoiYqGh4fZgzcMg2dib926lQdupNNpzMzM4Mc//jFGR0cxNjaGcrmMQCCASqWCRCKBI0eOYGpqikvgKGxLuXnB2oQqM1RVhdfrhWmayOfznDIiD5z6LlSrVRQKBZw+fZrTOc1mE5VKBZZlcfvjQqGA6elp5HI5jvxQi9lWq4WNGzeyaC8Wi2F2dhabNm3Cpk2bONROa6vVajh69CgWFhZgmiZHuebm5rCwsACHw8EXDRpPS2u+3IgQ/TphdnYWn/70pzu+ViwWMTU11aUVCboJhbw9Hk+HMI2aydD4V5oC53K5ODzeaDTQ19fHyndSwgPgznc0eYsafVDus9lschifiMfjAM57N9lsFouLix3tP0ulEjKZzLooJxJ0Ql4uRZPocknhc+B8/XkymYRhGB2jizVNAwA26Jqmodlssjcdj8c5RVSpVLixUzgcZkNvWRbm5ub4d0BRFADgy6lpmigUCjh+/DjPZ6jVatzulkR4wDPRCPr/9cSaMPAzMzN49NFHsX///m4v5VmkUil86Utf6vYyBD1CPp/H3NwcQqEQTNOE3W7nBjI+nw+SJMEwDD6oDMNgwZ3dbkc8Hkc+n0c8HufwO3kp9HfyUmRZhtPphMvlAgAoisLNcmgON/38uXPnMDs7ixMnTnT5HRL0AmTgK5UKT4QrFArc6rher3OpGnC+zTENfdE0jUV6NIqYjC4ZW5fLBVVVoes6q+x9Ph9rSmgefLthpg6LVOueTqdx9uxZlMtlVtY/nzFfb8YdWCMG/p/+6Z9w5MgRHDlypNtLEQiel+npaRiGgf3796NSqaBarULTNC4Hoq9Rc5rHHnsM+/btg8PhgKZp8Pl8+P73v49bbrkFqqrCsiwUCgWEQqEOr6ter8Pj8bAoqtFosLaD5nJTnt/v92NwcBCGYQgDLwDwjIGfn59nARwZWGqORDPXKV1Dg2LcbjcCgQA8Hg+i0Sjn7akd7enTp7kxDhld2u/0XJZlcf07VYMUCgW+nJbLZWSzWU4BvFDOez0ad2CNGHiBYDVRr9e5s9bQ0BB8Ph8qlQp0XecDLpvN8uxqu92O/v5+7jk/ODjI87CpdSiJh0zTRDqdxsmTJ2EYBnbv3o2BgQFYlsURA/JyJEnimmQKwwoEAJ6lSn/ooYewd+9eAOB0zrlz5/C6172OuydSh8RKpcI934eHh9kQkxc/OTmJUqnEZXVU1kZRJwrTT09PIxAIsDDPNE0cP34c8XgcCwsLmJub6+hgR/SCMRciu3XAl770JXzhC1/o9jIEPUa9Xsfi4iIcDgc2btwIy7JQLBbZ6FK+PRqNsnK+Xq+jWCzigQcewKZNm6CqKs/WzmazkGUZ2WwWuVwOS0tLeOSRR5DP5zE+Po6xsTH2oijUD4A9rkajgYMHD+JnP/tZl98ZQa9Al0AKjbvdbiwsLHAVBWk8DMNgD1pRFJ5cuLy8zL0YkskkdF1HtVpFtVpFNpuFJEk8Ac6yLLhcLkiSxM1qbDYbBgcHuQNjsViErusYGhqCy+Xi16a8fq+Nfu2Vtdhf+CGrg+XlZfzpn/4pqtVqt5fCLC0t4dSpU91ehqDHME0TTz75JBKJBObm5pBKpVCpVLC8vIxUKtXRkIPKgahNJ6ncyRNvz7mTypjypjabDblcjhuUUFMQy7JQrVa5rSeJoah+WCCgvQWcF3BSe1oKyXu9XhiGwQNiKBKkqiqq1SrK5TLy+TxmZ2c7lPRer5cnvlGrZADcoMblcrGwNJPJIJ/P82WhWCxClmXWp7RXcfSKQe011owHn0ql8MlPfhI333wzqzjbGRsb6xixKRB0i2q1iqNHj7IHnc1mEYlEsLS0BEmSuDaePJlgMMgeO4mcqNkNlQy1C5dIja+qKrempUsCgI5Wn6S6X0/NPwQvDcuycPr0ad5PFIrP5XI4deoUNm/ezB3qJEmCrut8iSwUCjwchi6ZLpeLS+noYkrzE0h02mg0OAJAhlxRFBb30e+O4PlZMwYeOH+Lu+GGGzq+RoflV7/6Vdx5553dWJZAcFHOnj2Ls2fP8t8pdP4rv/IrGBsbw9mzZzE4OMhhSzoUdV2H3++HzWZjQZ6qqohEIvB6vXA6nXjooYdgGAbC4TAikQhqtRrq9Tr3tycPjZ63vXxOIAA6w/QA8Itf/IL3oKIo8Hq9mJ6eRqFQwMTEBOLxOI9nrVar3COeBKC6rnNNus/nY5Fos9nE/Pw8lpaWuOUycF5VHwgE2NOXZRnJZJLz7b2S5+5l1pSBv5DBwUGcPn0awDP1kwJBL+L1evGBD3wAHo+Hw+eUg6RJWsD5Q5eajJDnTZ5Ns9mEw+HA4OAg3ve+92FiYoIvAVQeRxPsqKSOVMnisBQ8H2TkyeOmKNDrXvc67mpnmiZyuRzvN8rdJxIJ9twVRUGr1UKhUIDH4+H5Bhs2bMBTTz0FWZYRCAR4MBL1kqeeDKOjo3jooYewuLgIAM8y9r0Squ+V36c1a+Bvv/12/NEf/RF7LAJBr7JlyxbcdNNN8Hg8XA5HuXGaxqWqKux2O/x+P2q1Ghtzh8OBcrkMTdM4pO9wOBAIBHD06FGcOnUKsixj165dcLlcLHaii0Gr1epoQiIQEBczUqR693q93F8hFArBbrdzS1naS5QmqtfrnEai7+m6zoa/2Wzi8OHDCIVCHLanS0J7LTxdEEis18sh+l65aKxJA/+mN70J73rXu3D11Vd3eykCwfMyMDCAjRs3YmRkhAdyUDtYGkxDIVEKU5L4jrx6m83GHnz7FDDqeFer1TA7O8stcCk8Tw1GFhYWUCwWu/k2CHoYMlYkjNM0DdFoFKFQiMvX6HE2m40vmrRvDcPgkcVUD1+v17G0tARN07gUrl0jQnuTLrO0Bl3XnxXRar+I9JqavtusycTbBz7wAbzrXe/q9jIQCoUwPDzc8TW/34/R0dEurUjQa2zZsgXj4+MAwEIkwuVywTCMjkNRUZSOml/KiVK5W/ufWCyGXbt2YXh4GHNzc8hms5wDbTabyOVyME0TU1NTKBaLPPiDIFW0YH3SrqQHwLnzaDSKwcFBbNmyBW63G8VikbvcAefD5hSSJ8NNe7Jer8MwDG5WU6lUuCSOWitTGoCeyzRNVCoVNJtNLC8v87wGCu9feKntBUSIfh3wkY98BNdddx2uvPJK/tq73/1ufOQjH8HGjRu7uDJBrxCPxxGPxzkEX61W+VCs1WqYm5tDX18fZFnm1rPBYBC6rvOhRgI5+m+9Xofdbkcul4PL5cLg4CB8Ph8eeughuN1u+Hw+WJaF48ePQ9M0VKtV7NixAzabDffeey+vbWhoCBs2bMD999/flfdG0FvY7Xbs27cPQ0NDbOx1XcfAwAACgQBsNhtSqRQ0TeO9aBgGz4F3OByw2+0YHByE3W7nLne6rvNY2vZ5CnShpb87nU6k02ls3rwZwWAQiUQCy8vLqFQqaLVacDqdrPSnvg/ESnv2vRJFsLV6ZSUvgwtvSXa7nZXHNISj2zQaDR7TCZyfXU8lJgBw1113dRyqK80q/vhXFRe70X/oQx/ir1Mveo/HwyNfqY5d07SO0a+SJPEsbPoa9Qcvl8usnqdZ2VQqV6vVcOzYMS63Iy9IkqQOoR2J9qiE7zvf+Q6Gh4dx8uRJZDKZFX3f2hF7deW42H699tprEQgE4PV6ud88jXx1u91QFAXJZBKVSoWb4RQKBSiKgnw+z81wVFWFqqooFou8jxVF6ejD0C7qI4Fos9mEJEmoVCooFAooFos8gZFG2tJePnz4MKamppDL5VCv17uyd3phv64ZAz88PIwvfOELuOOOOzrCnL3Oo48+ivn5eeTzefzWb/3Wir/+Kv74VxXte1VVVezZswdvetObWOBGhx9wfnwmDdWgA41q3J1OJyvfKSRJdcMAuPa4Uqmgr68PhmGgWCyiWCwiGo1iYWEB1WoVsizD4/HAbrfD5XJ15PnT6TSCwSCazSZKpRIWFhbw9NNPw+1286Xj4MGDK/4eir26crTvV1mWMTg4iP3793OkCeisTJIkiXvGp9NpzsVnMhnea5Q7lyQJHo+HdR8knsvlcpx+op73FLZvHyRDl9hms4lIJIKxsTH4fD4A5x0qt9uN2dlZzMzMcMOoAwcOsPKf/n2Xez/1wn5dPZbwBfD5fPjlX/7lbi/jJUMT8AqFAn784x8DAB5//HGcOXOmm8sSXEacTidGR0ehKAqrji8UKtEB1D4XnhTHzWaTG9c0m00WHpFnTx3qaB53uVzmUKjX6+VDWlEUvljQIUupAeCZQ3vjxo1YXl7G4OAgFEVBJpOBaZqYnZ1FuVxmQZRgbSLLMoaGhji6BDxjvMi7ptw3tbClXHupVMLAwAD/LOX1ydDS7AV6LupESnu5PccuyzJHqZrNJpxOJ6rVKsbHx1Gr1bi/PeX4+/v7+ZJ79OhRviyTrmU9sGYM/GrH7/fjG9/4BgDgox/9KL7yla90hPYFawfqOkd1wpZl8dhM8uKB84eoaZpYXl4GAK41lmWZjbFlWZifn0csFuNRs6Zpor+/n+e6N5tNuFwupFIp9Pf3Q9M0zvOTUInyo41Gg9fWftnYu3cvl0UFAgGMjY3hX/7lX5BIJFAqlUSZ3RpGlmXE43E2xpTrpn4NAPiyuby8/CzPfnJyErquAwBHpqi/A7VWpoEzZLwpTdSuPaH2zJlMhvvRnzhxArfccgvy+TyWlpawsLCAUqkESZIwPDzMs+h9Ph/6+/uRTqe57e16UNwLA9+DfPazn8Wtt96K//Sf/lO3lyK4TDgcDpimiZmZGS5vA86XAVEjGvKuJyYmsLy8jJmZGWzfvh3pdBq6rnNo3ul0YnZ2FsFgkMd2tlot5PN5zpE6HA4UCgWUSiXU63XOo5LgrlKpIJlM4tChQ9ixYwfnRoHznhVpAGhYjcPhQDQahdvtRj6fF2Nm1yikBWm1WjAMA36/v2M2QrtXX6/XMTAwgFwuxyV0+XwexWIRDz30ECRJwtDQEMbGxrizXblcZo/e6/ViYGAAzWaTfy4YDHJpZ71eh8vlwu7du7mt7fDwMB577DGk02k4nU4MDAzgbW97G7785S/z78HS0hJUVcXOnTshSRKmp6dx3333dfmdXRmEgRcIVhiXy4UdO3ZgenoaiqKwQInUxJRvlGUZ+XwezWYTHo8HtVoNJ06cYPEcedjhcBiVSgWlUokb5QBgJTKF61utFofi7XY7arUa0uk0z+6u1WpQVRWZTIZTAuRFURi+Xfw0ODiIYrEoQvRrGCpTm5mZwaZNm3gvULqHwt0k+CwWi1BVFaZpwjRNSJKERCKBjRs3ciqIIgGRSATRaJQvjO3jjmdnZ+H1enH69Gn4fD6EQiEEg0GOYJEQVVVV6LqOiYkJDA8PY2xsDADwqle9Cpqm8e/A3Nwcl+v1coOcS82aMfALCwt4//vfj7/8y7/kUKJA0IsUi0Xcc889uPbaa5HNZlEul9HX18dhyWKxCIfDgUgkgkajAa/Xy81sKpUKFhcX4fP5OLxOlwHy/OkCQONnbTYbarUa5zFJxEeNdU6dOsXTuVwuF/r7+7mjGDUoaZ9eB5yf3kiHsmBtY1kWpqamIEkSyuUy6zgoXE/7xG63wzAMAODyzVarxYOSgPONayRJ4r1GhrpWq7EmxOVyIR6PIxgMIh6Pc68Hv9/PKS26UNDXqZqEPP/l5WUUCgUYhoFEIoF8Po9qtcqXCmB9NMVZMwY+l8vhb//2b/G6170OHo8Hg4OD2LFjR7eXJRA8i0qlgp/97GcYGxvD/Pw8AoEAgsEgz8OuVCr8/7VaDXa7nQ8zRVGwvLzcMW6z1Wpx+REZb2rxSU1tALCnRGHX9vVUKhUA4D7gFBK1LAuWZUFRFBbvNRoNFItFkXdfJzQaDWSzWUxPT3PdOw1BUlW1ozENXQYVReHLpSzLvHfsdjvK5TLrPcjA1ut1uN1u7pTndrt5MiKVuVEVCf0MdXskQV6j0eCxxyQwzefzyOfznEoioR3QGyr3y82aMfDA+Q/srW99K4DzDWW++MUvXnR0bK9Dh7xgbfMP//APAIAdO3ZgbGyMw6FkyMvlMkqlEmRZ5tphTdPQ39/P+UWqNyZlPAnmqIXoxUbBksHXNA21Wg2bN2/mi0KpVEKpVOLHUame3W5HqVTq8NAMw+g4pAVrhwu9W5vNhmQy2aHh8Hg8rAEhg9reSpkumzTelfZ1sVhEIBBgo2xZFjweDzweT8fgJMrPU68GihLQz9brdfj9fpTLZY5mURe9rVu3cl19pVJBPB7H6dOn8eSTT3KEbD1cUNdMHfzFGB0dxfT09Mos5hLywQ9+EF/+8pdX5OBcxR//quKF9qqmabjzzjuRyWQ4BKlpGgYHB+FyuVjwZrfbuakNlca1i/Tov1RGRAdvNpvlsiJqqEO5czo4m80m1yY7nU6OEJDxp1aj1WoVZ8+eha7r+MUvfrFiv2Nir64cFF5vh4y+oigIh8N47Wtfi0wmg0AgALvdjmKxCL/fzwYeAF9SLctCIBBAKBQCcH7Sp2mabGQpskRDlOhCSxfdarUKp9OJYrGIJ554AiMjI9i4cSN0XcfY2BhfNgzDgCzL+NGPfsTDmqLRKL7zne8gEolgbm4OS0tLXJZ6OemF/bqmPPgLWVhYwM6dO3H//fcjEol0ezkvmgt7QAvWPpVKBf/8z/+M7du3sydeLpchSRJisRg0TeOcJZX+0B5pVzGTR90+mAYAt/wMh8Oc66S8PgCezuVwOODxeGCaJh/UFBUgcRN1x6PSJcH6oH2YzPLyMv793/8du3fvRiqVQjAYxBVXXIFEIsHGXZIk9Pf3w+/3Q5IkTvnQtES6gLZaLfh8PlQqFRaPAufD/dRmmQyyx+PBFVdcgUgkglgsBlmW2ahTT4hz587xkCXTNGFZFm655RYsLCxgbm6OfyfWA2vawFuWhSNHjuCTn/zks0L1//W//leEw+Eurey5+exnP4sDBw50exmCFYaGv0xNTbHRdDgcmJ+fx549exCJRNgDas+p02WAuttReR2FOWlITXvNO/08qevbx8WS4AkAP7bVarFHp+s6pqenMTMzA8MwOtqLCtYHtGdyuRzOnTsHWZZ5DvzCwgKGh4e5VXij0UAgEOARxbQPad9SLp5C7pTDp79TFQkJSZ1OJyKRCA9iyufzCAQCbMwLhQI3j6K0FTXMKRaLz+pRv9ZZ0wae+Ou//utnfe3KK6/Etddei76+vi6s6Ln54he/iJmZmW4vQ9AlFhYWnvU1j8fDYUoqM2o32BQ6p+Y1FOqkEiHy0qnNLZUJkYGn79OFgere6YJAz1cul7G8vIypqSkuZVoPecz1yHMZwfbRsc1mE4lEAoqiQFEUzM3NoVQqQVVVBINBbrQUDAZ5Ghz9HKWFaO/SPqQIFOXnFxcXeWyypmnsrVNFCXV5rFQqXFdP4XqPx4NWq4VCoYBUKoX5+XmUy+WVfBu7zrow8BfjbW97Gz73uc/hwx/+MAB0dThNuwe1nm6XghfHY489hpGREWzYsAHlcpnDltTNjlrXUviUJm9RmZzdbucae1LD04WgHTLwqqrC5/Nx2N7j8SCXyyGRSGB2dhbpdBqRSAQLCwvCwK9T2sPo1ImRcvQHDhzA5s2b2ZOnckxSu7ePLaaqDL/fD8uy2Lsn5X6r1YLf7+c8//HjxxGNRnlsMlWPLC8vc+XI/Pw8T2Ck/XnkyBGcPXt2XdXAA2tcZPdCUIkFtfHs1pCab37zm3jPe94DACsi/mhnFX/8q4pLUS9O5XK/93u/h4GBAT7kSL3cPkubwvztoc9qtdqRqqKDFHim9/fJkydRq9UwPDwMr9eLRqOB+++/H4uLiwiFQtB1HUePHgWw8ntH7NWV46XuV3o8la7RBTIej2NsbAwbN26Ey+VCtVrF/Pw8G21yrCgvT2r9p59+Gtu2beOolKIoCIVCPPCIWjID5/duPp9HOp1GLpfjxlGLi4tIJBJIJBJcVbKS+qZe2K/r2sATdrsdV199Nb7yla9gcnLykjzni+GNb3wjh49Onjy5Yq/bzir++FcVl2qv2mw2DA0N4Td+4zcwODjI3b8qlUpH45n2Zk+WZXHJEU2OI+OuaRry+Tyy2SxyuRySySRcLhdfGKrVKlKpFA4ePMgeV7dKOMVeXTle7n5t/zlqtTw4OIirr74amqah1WqhWq12aEmonI5C7NlsFktLSwgEAhgZGUGpVEKhUECj0cCVV17J4Xu6TNRqNRw6dIjL35LJJEefKDffridZKXphv67bEH07zWYTDz/8MP7X//pfeNvb3oZrr732srzON7/5TczOzvLf77//flHvLnhJtFotzM7O4qGHHsKuXbswNjbGhyY1p2k0GojFYh0heip1o/wmcD4HT33tdV1HpVLhJjlTU1Mol8t8mFIOVbA+eLld3i78GbogHj16FMFgED6fD7FYDKqqdhhpu92OXC7HM96p+6JhGOyZq6qKRCKBWq3GjXNcLhe8Xi8WFhZQLBYhyzLS6TR3biRW2rj3CsLAt/GXf/mXqFar3MrwYmzcuJFrkl8Kp06dwl/8xV/gscceeyVLFAgAAA888ADnPR0OByqVCk/monB8IBDgyXCksqfDkXKnp0+fZtGeJEmQZRlzc3M4ceIECoVCt/+ZglUIXQ7oT6FQwJNPPolgMIiBgQHudNeupCdxKKWWaAIijZw1TROBQADT09PcMpemGE5MTCCbzSKfz3c0sGmfm7BeWyqLEP1LJJlMdlwALraGC9/Ser2OQCDQk976Kv74VxXd2KvveMc74Pf70Wg0UC6XEY/HeXJcsVhEJpNBX18fl9FRmPS+++7rSfGc2Ksrx+XYr5RPp0EzVOFhWRZM08SnPvUpNuIPPvgg9u7dywK+YrGIQqEASZKwdetWSJKEVCqFH/zgBxyGB8AGvhf6zHf79QFh4F8yfr+fXzccDuPMmTMd369UKhgdHX3WhK1ene2+ij/+VUU39irVxAPndSaTk5OIx+Pwer2w2+3I5/O4//77n7UHelVpLPbqyrGS+5U89/b96nQ6ce2110LTNC6Ly+VyOHPmDJaWljgiRSr8dvFcL+yT9n4TXV2HMPAvH6fTide97nUdX6vX6/j+97/fE5vsxbBa1rna6fZetdlsHd3wqKQulUp1dV0vBbFXV46V3q/0eu119tFolAV4NI9e13XUajUOu1OPBqJX9ogw8JeAbh+aa4FV/PGvKsRefeWIvbpy9Mp+vdDwX+z7vbovemFdQmQnEAgEgp7kwol2F36tF4xoLyMMvEAgEAh6HmHMXzpiFJRAIBAIVpReSQGsdYSBFwgEAsGKIrzxlUEYeIFAIBAI1iDCwAsEAoFgRREh+pVBGHiBQCAQrCgiRL8yCAMvEAgEAsEaRBh4gUAgEAheBC82tdArKQhh4AUCgUBwUWw2G/9ZzVzq9V849/5CeiUFIQy8QCAQCJ4T6vn+cn/2QgO4UpeF57qcvJLXv3CgTa9fflZ1L3qBQCAQCAQXR3jwAoFAIBCsQYSBFwgEAoFgDSIMvEAgEAgEaxBh4AUCgUAgWIMIAy8QCAQCwRpEGHiBQCAQCNYgwsALBAKBQLAGEQZeIBAIBII1iDDwAoFAIBCsQYSBFwgEAoFgDSIMvEAgEAgEaxBh4AUCgUAgWIMIAy8QCAQCwRpEGHiBQCAQCNYgUrcX8Ero5Tm8qwUxLXhlEHv1lSP26sqxVverzWa7rPuI3rdWq9UT+1V48AKBQCBYF1xuo9sLRr0dYeAFAoFAILhE9JKRFwZeIBAIBB2s1RD9StEr758w8AKBQCDooJe80NWI3d4bprU3ViEQCAQCwRqh2Wx2ewkAhIEXCAQCgeCS0isREGHgBQKBQCBYgwgDLxAIBALBGkQYeIFAIBAILiFCRS8QCAQCwYugVwzmi6VXcvCrulWtQCAQCFY/FzPgL9ZIXu72s6sZYeAvgsPhgN/vv+j3crkcWq0WnE4nNE0DAOTz+Z4pixCsL2w2GxwOB4Bn97+mPWmz2fhPo9HoyjoFAuB8fbgkSXC5XGg2mxf9AzxjtC88V2kft+91YdyfG2HgL8L27dvx1FNPPevrrVYLfX19SKVSuOOOO/DP//zPAICJiQlMTU2t9DIF6xybzQav14u9e/fCNE3oug7TNFGr1WC32zE7OwubzQa3241QKIRYLIYjR47AMAw+FGVZRr1eF4ekoIPL5RV7vV689rWvxZYtWxCJRFCr1TA7O4sf/ehHOHPmDOx2O1RVRTAYxMjICPL5PPL5PHRdh2VZaLVacDgcsCwLtVoNzWbzomsVXv15bK1V/C5cjrzMBz/4QfzBH/wBRkZGLvr9qakpNBoNaJqG/v5+AMD09DQsy7ro448ePYq3vOUtl3ydl4pV/PGvKi71XpUkCW63G5FIBFu2bMH+/fvR19cHVVVhs9mg6zpyuRyq1SoAQFEUuFwutFotNBoN1Go1WJaFhYUFHDx4EMViEbVaDfl8Hna7HZVKBfV6/ZKu+ZUi9urKYbfbL/n7Lcsy4vE4BgcHcc0116BQKMDj8WB4eBjhcBixWAyHDx/G8vIynE4nXC4X6vU6stksZFnGFVdcgdHRUaTTaSwuLuLEiRP49re/zXv3Qu+fusk91yXgctML+3Xde/Dj4+P40Ic+xH9/1ate9ZzGnR5/IWNjY8/5eL/fj89//vMX/d7HP/5xvP3tb0ej0cDXv/71F79owbokGAzi1a9+NfL5PJxOJ3w+HyKRCIaGhjA0NASPxwNJOv8rTSFM0zTRbDYhyzJUVeXQaK1WQ7lc5q/lcjmUy2XU63V4PB4sLi4ik8mgVCrB5XJhZmYGiqLAbrejWq3CMIwuvxuCy8mlME4ulwtXXHEFJiYmUC6XYRgG6vU6XC4XNE2DqqpQFAWKogAAnE4nxsfHEYlEYBgG8vk8X2DJow8Gg3xJiEQiqFarSCQS7GA5HA5IkoQHHngAdrsdNput46LaC0Z3JVnXBn5iYgJveMMbcPfdd1+214jFYs/5/D/5yU9w1113wbIsJBIJ/vqpU6ewuLh42dYkWH243W4MDg5iz5490HUdHo8HXq8XPp8PgUAATqeTjbZlWWg2mx2eumVZnP9sNpuo1+scidq0aRMKhQJKpRKHRxOJBJaXl1EoFOD3+9FsNmG329mzy+VyKJVKqFarQn8ieBbBYBBbtmzBLbfcgl27dqFarSKdTmN5eRmNRgM+nw8Oh4N1IQsLC6jX63A6nZAkCbIsQ5IkBAIBjI2NcXTK6XQiHA7D7XbD4/FA0zQkEgkYhsGeuqIoqFarbMzptVOpFEzTXFc6lHUZoldVFQDw53/+5/id3/mdS7mkS8KHPvQh/N3f/R17YJeTVfzxrype7l6lQ3Dbtm3YvHkzvF4vJicn0dfXB6fTCQBstIvFIrLZLPL5PILBIHw+H9LpNHRdR6vVgt/vZ2Foo9Hgg65er6NarcKyLLhcLni9Xg7ty7KMcDiMgwcPYnp6Gna7HQMDAyiXy3jsscewtLTEz3+5D06xV1cOusjRvn2x773dbkez2cRdd92Fd7zjHYhGo6hWq9A0DZIkodFooFQq4ejRo0in0xxKn56ehtfrRa1Wg6IoiMVi7LH7fD6oqgqHw4FIJAKHw8GXSq/Xi1arhYWFBQ7Vq6oKj8cDy7JQr9eh6zq+/e1v49vf/jYWFxdRLpdXxMj3wn5ddwY+GAxiaWmJ1ce9MvWnnUajgWazCV3XEYlELquHtIo//lXFy9mrTqcTv/qrv4pAIACv1wuPxwNVVeH3+/kApr3SaDSg6zpSqRSy2Szi8Tj6+voAPGPMDcPgy22r1YJlWfw7QCF98pwKhQJM00Sr1YLb7cbMzAzy+Tx8Ph8mJyfh9/thGAaKxSLy+TwWFhbwrW99q0PAd6kRe3XleDn71WazYdeuXfjLv/xLBINBlMtl5PN5rjqy2+0wTRNnzpzBxo0bWS/SbDYRCoUgyzJ0XUepVGIjHIlE4PV6Ybfboes6i0YpxE97f3FxEcvLyygWixgbG4MsyyiVSiiVSkin0/j5z3+OYrGIarWKfD6Pc+fOYX5+/jK8c8/QC/t1XYXob7zxRnz+859nz6dXcTgcXKr32GOPAQC++MUv4u///u+7vDLBShEMBrF161ZomsaetyRJqFQqqFQq8Hq9cDgcaDQaME2ThXW6riOfz0OWZTidTsiyzIdovV7ng7tWqyGXy8HpdMLtdvP3ScVcqVTYi3e5XNi4cSMcDgc/L6mZZVmGoigIhUJ417vehWKxiMOHD+PkyZPdfPsEK8zIyAhe//rX4/rrr0e1WsXc3Bzvn+HhYaRSKdjtdsiyjEgkwkJOh8PB3rnb7ea0EoXrA4EA6vU6yuUyqtUqIpEI3G43FEWBw+GAoihYXl6GJEkIhUKcTvL5fKxTCQQCePrpp7F7924Ui0VkMhls2LABiUQChUIBS0tLSKVSaDabPWGULyXrxsC/+c1vxjve8Q7s3r2720t50djtdlx55ZUAgDvvvBODg4NoNBr48z//83WVR1pPyLKMLVu2YGxsDAMDA4jFYgiFQixwk2UZdrudxXIURpUkiUOTbrcbxWIRrVYLwWAQmqZBURT+WfL6AXCtMYVK7XY7HA4HPB4PG3KqW77wsgCcv4y6XC4A5w95Uu63Wi3UajXMzMysuUNT0Mnk5CT27NmDnTt3IhaLodFo8P4gLx0AG+RgMAi32w0AvO9kWYZlWZBlGW63m9NFqqrCsizYbDbej7VaDQ6Hg/P1FPqXJAlOpxOZTAbBYJC9+3q9jkgkAk3TONJls9nQ19eHSCTCvzP5fB7ZbLZr7+PlYF0Y+G3btuG3fuu38MY3vrHbS3nZ3Hrrrbj11ltRr9fxwx/+ELVaDalUSojx1hihUAh79+7F1q1b2QNxuVyc2ySPGTifOycvmjwhSjmlUilUq1U0Gg3Y7XYoigJJkjpEceQ5kdoYABt5r9fLjUcoFdBoNPhC0Gg04HQ6YbPZ+CCORCJwOp3Ytm0bgsEgisUiyuUydF1HrVYTl9I1SCwWw4033oirrroKwWCQo0R06aRcOKnb6aLqdDrh8Xg4VaSqKgzD4O/RXpZlGbIsw+VycZSqXq+z6LM9AkB73TRNFAoFjm6RULRarXJ0wDAM+P1+WJaF4eFhhEIhpFIpnD59mmvu14J4dM3n4B0OB+bm5hCPx1dgRSvL5z//efyX//JfXtFzrOKPf1XxYvaq3W7HG97wBoyPj2NoaAgjIyPcwKZSqaDRaLB6HgB7O4FAANVqFeVyGZVKBbVaDW63m/OQ1WqVDXGxWIRlWWg0Gh0hdxLaVatV1Ot1ViyTd2QYBtfGU9RAURT2fjweDx/erVYL9XodpVIJTz/9NH7+859jenoa6XT6Fb2HYq+uHM+3X8mAq6qK9773vXjTm96EwcFBrl9PpVKo1WqQZRmhUAiqqkLXdQDndSWKosCyLExMTLCavtVqoVQqYWlpCbVaDR6PB9lsFtFoFKqqQpIkzuW3e/CqqrK4rlQqIZ/Po1KpYHl5GXa7HfV6HcViEfPz83A6nVxRYlkW3G43vvOd72B8fBx79+5FJBLBz3/+czzxxBOYn59HLpdDo9F42TX0vbBf17QHPzg4iBMnTsDj8XR7KQLB8+J2u3HHHXcgn89jeXkZqqpiaGiIvXc6FG02G+fgQ6EQ+vv7MTo6imaziXK5jLm5OZw5cwZLS0vsEQHg0GQgEIDL5eKQO3W+A57RflC5XaVSYa+LRKntbW8ty0KpVOJSPHoOl8sFh8MB0zT5wkEGQdTPr34cDgc2b96MAwcO4MCBA/B6vSgUClwCZ1kWvF4vFEVBPp/n8DrwzMVBVVWUy2UWzbndbvj9fng8HhZv9vf3w2azsSevKAp0XWcv32azYXFxEZqm8QXT4XDg2LFjnA6gSILb7eboFe3pb3zjG/jN3/xNOBwOZLNZFAoFjI2NoVgscqne4uLiS64k6CXWrIG//fbb8f/9f/8flwWtRd761rciEAjgN3/zN7u9FMErIBKJYOPGjbDZbNiyZQur5ovFIvr6+qBpGrfmpJwiecvAM13tfD4fFEWB0+nE7Ows1xbToUviJPLMyaunXvZUR0w5dMppyrLMorv2ywAA9oYMw+B1UI5/eXkZ5XIZbrcb0WgUbrcbuVwOxWKxO2+04BVhs9kgyzLGx8dxww03IJPJoK+vD7VajQ1vPp9Hf38/i9wA8PfIaDYaDcRiMd6vdBkknUiz2YSqqmi1WiiXy5wSol4OBNXJkwaEIlVkyClqQGunOSKUxx8eHoaiKKwXsNlsWF5e5nr59t+x1cqaNPC333477rzzTlx33XXdXsplZWRkBG94wxvwgQ98AP/n//wfPnwFq4e+vj6Mjo5ibGwMHo8H8Xgcfr+fDz76fwqRW5bF3b/Ic3G73Zw7j8ViLIaj0H6tVkOr1eIDFACH6NsFc3SQAs+EYSl36vF4OL9J+4zC9/V6nUOyZPjp8tDf3w9VVZHL5ZBOp1Gr1fiisBo9ovXO9ddfj6uuugrbtm3DuXPnEAgEOF9NxpL2CwneKPJDWg9K45D+g+rVKUpFkSq6FJBxbzab0DSNPWrat3QpkGUZmqZheHgYhUKBDT9FjciwV6tVFAoF7rBHUSfTNOHz+bBlyxYWlk5PT+PBBx9EqVRalTMb1pyBHxkZwUc/+lHcdNNN3V7KihCLxfA3f/M3eOSRR1AsFqHr+ivOdQpWBlmWsWnTJmzYsAGBQIANtqZp0DQNbrcbfX19cDgcyOfzLCKSJAl+vx/BYJBLjtoJBoOo1WpYWFjomNJF3jUN7ZBlGbVaDZVKhfPqdIDRhYG8Nr/fz6KlUqkE0zRZtEdRAofDgXq9zqKo/v5+9Pf3o1KpIJlMYmpqCul0Gna7nVuXUimVoLe4WN45GAzi7W9/OztOjz/+OIvdWq0WXC4XJEmCaZpccpnJZDA8PMzPRbqPcrkMj8eDer3OIjwArAMhFEVhYRzl4Kn9LPWfpyitLMsIBALYs2cP5ufnuYfI/Pw8VFXF2NgYyuUycrkcp8Hy+TxrSEzTxOjoKHbv3o3h4WEMDAxgdnYWqVQKJ06cQD6f77n5DC/EmhLZ2e125HI5+Hy+Lq2o+3z1q1/Fb/zGb7zox6/ij39VcTHR0vbt27Fhwwb09/cjHo8jGo2iXC4jGo1ibGwM27dvRzAYhM1mQ6FQYIEcGX+3281eyoXouo5jx44hmUxyWJxC8O2eO+XHKXRJZUsulwtOp5PHIpP3Tn+oLpmMNB20Pp8PXq+Xm5BUKhUsLCxwa9tms4lAIIBarYaTJ0/iZz/72Yt+D8VeXTkutl///M//HIODgwiHw/D7/SxkoxK3YrEIp9MJ0zQxPT0NAHjDG94AVVW5VwM1UiJvGgC3nw2HwyzQpD4N5OWTYj4cDsMwDG4563K5OIJlmiYMw+ASOfLWKb3UarU4dUU5fkVRMD8/j9nZWeRyOcTjcQwMDPDvWCwWw/LyMr70pS/h4YcffknOUy/s1zXnwQsEq4XBwUGuxQ0Gg/D7/WwgAWBpaYlFPu2GlxTEz9ewSVEUuN1u7iBGBySVuVF5EeXPAXREAqi8iHL3qqpy6B8AD7WhnCo9P4n0AEDTNEQiEYTDYc7L1+t15HI5JJNJLvcT9B4X8+Cvuuoq+P1+bjxDKnUKj/f39yObzUJVVWzevBmSJEHX9Y72yGTY+/r6eFQxlXPOzs5yqSV1UCSPmX5uenqa9x69PpXiUXlnvV7nCwCNVCaFvaqqGB8f50tCq9VCtVqFaZr8OGqta1kWfv7zn2NoaAjvfve7MTY2hq985Ssol8sr+2G8AoSBFwi6AOUpybDLsgzDMKAoSkf9ebvRpbwkte00DIM9bApxtj/W7/fzLO1KpcJfp4Ob6nzJSNMfaobT/jg6EAny9kkhTeImKmGiEC2NqAXA6mcqh8rlcpfvDRZcMlwuF/bt28fGGAA3Vmq/HFLZJPBMfrxWq7H2gi6BpOPo7+/naJIkSZyrB8AXSrpkkmdPvxP0+GazyZdF8vY9Hg+q1SpHjNr7RFAEy+12o1KpoFAoIBKJQJIkZLNZXkMymeSfB4DZ2VnMzc0951jwXmXNGHifz4fbb7+dRUQCQa8iSRJisRi8Xi8r28krIeNOjyNvhsLr1PCm3QAbhvGsahFJkuDz+dh7ttlsHKZv96bpItHe0Y4ORYoQ0Hpopjwp8UkQVavV+ACn9ZOXRykA4JnBOaZpci5W0Ju0e+8ejwdvfvOb+YInSRJ/1i6Xi71nMvLtF8FarcaXQ9KW1Go1bj5DRrfRaMDr9XJ1B4nw6NJJ+6p9j1GTHMrR07oAcJknfZ2MPP0//S7RZMZms4lEItEhUC2VShgZGWHNANXbd2O2/MtlzRj44eFh/L//9/+6vYyu43K5EAqF1lzLxbWEy+XCli1buMkHAFbtkrdCX3O73R35ceoqR41s2r2eC/F4PCyOozw+qdfbPSJSzreH8dvD8qlUCo1GA9FoFJFIBKFQCJqmoVqtsjo+lUohEAjA4XDw4VipVFhdTf/OSqXCIVzTNPHEE0+sOq9ovaGqKm677TacPn0ajUaD951hGAiHw7z/qPKivSyORJzFYhE2mw2BQIBV7xTqlmUZ2WyWFfLNZhPVapUNfHtL5vaOivV6HZVKBcFgEIZhsNHO5/MswKNLAF0KSANAExgpTWAYBo4dO8Y97anunqpAAoEAt9cVBl7QNd7xjnfguuuuw+DgYLeXIrgIiqLwdCwqJSLPgoy5JEmo1+tYXl6GzWZDLBbjcGR7WL19bvaF6LqO6elp3Hffffjxj3+Mhx9+GE6nE3v27MHevXsxMTGBYDCIQCDAzWroQHS73XA4HCycmp2dxc9//nMsLCygUqlw05q3ve1t2LhxI1wuFyqVCnf+IgNAHjqV8rndboTDYW6DSxfRH/zgByv6GQheGDKuZLQPHjyIQCDQMZSIersD4MZHhmGwKp66yA0NDcHr9cJmsyGdTnN4vVwus85kcXERg4OD2LFjB0ZGRrj8LhwOo1wuo1AoIJvNcoi9WCyiUCigXq9jcXGRS0dlWUa1WsXGjRu5ht7tdvMYWlorDVWKx+OYmZnB/Pw8HnvsMVSrVUxOTmL79u0YGxtDIpGAx+PBuXPn0Gw2sX//fjz66KPd/GheEmvCwL/vfe/DH/3RH3V7GQLBC6KqKsLhMGKxGM+6JsW6ZVkIBoP8JxwOcz4cABtMwzDYS1IUBYFA4Fmvk8/ncfLkSczPz/NBaLPZ8PTTT+P06dNQVRWqqrIQjkbRUovahYUFnrKl6zp7VIqisNf/+OOPY3l5GfF4HKFQiCMA1Jue1lupVDp0AHQRME1TXER7FNpz27dvx4033sizB2RZZu+5XC4jEAhwOaVlWaxYJ0OsaRqOHz8On88Hj8fDHedqtRqH8r1eL6rVKq677jr4fD4W51E0YG5uDul0msWhVG9P+X1ZljEwMMB7OBgMwuFwdFyMAfBr6rqOYrHI5XwLCwvQdR2jo6NYWFhAtVrFqVOnMDs7C5fLhYWFBUiShEgkgsXFRU4TrAbWhIEPBAIYGhrq9jIEghekr68PO3fu5JnVJFYKBAKIx+Pw+XxQVbWjKQ3Q2YTGbrdz7v65yuSoCxiN3fT5fHxZ0HUd5XIZTqcT2WwWi4uLXLtOz1cqldgoX9hYBAB7SiSssyyLc6Dk9dH6Wq0WDMNAs9mEaZp8QNK8cEHvYhgGcrkcN6MhEabNZuNyZLfbDUmSYBgGK98p1USPo74J1G6WRsGSxmRsbIxbxlarVViWhUAgwHue5iUA4LJManNLLZdpwAxFwtpTCbQWCsknEgmMjo4inU53tMsdHR3lUuu+vj40m02cPn2aLy+6rq+a8DywRgz8zMwMHn30Uezfv7/bSxEIXpALw/EejwfhcBgjIyNc1tbuIVBenA4Wp9PJveQvhIa8pNNpNqYejwehUIh7w5OQrr2rHOVMybtqfz1SJ7eL/Ui8RKIoOogvVPOT10WeH/1bLMvi2fWC3iWbzWJmZgY33XQTd5iTZZn1HRRJoj90oSMjTdqNVCrFuetqtQpVVeH1ernHgmVZWF5eRqFQ4MsANU2iyyIAfs52QSgNoAHwrCoUyteTgW9v4OT1epFOp7kOf2JiAvl8HsVikaMP5XIZiUSCvX2qp18trAkD/0//9E946qmncOjQIRZCrFdIMCLoTU6ePInl5WW8/e1vx8jICOfkfT4fH37tM7LpgKOhM+1lc+QRp9NpLC0tIZPJoFwucxiyVCrB6XQiEonAsiycOXOmY1xsewc6em4SMbUL96j0zePxcG6+XC5DURSONpBgr12hXK1WkUwmWXnvdrsRDAaRyWS4fE/s1d4ml8shkUigr68PpVKJG8v4fD6uFadIEUVxqOERdVMkYR159RTpIYNpWRbm5uY4PO7xeDAwMMDhdxLeVSoVVCqVjsY2iUQCGzZsYE2A3+8HABb4XdgDnzroXXXVVR3z5z0eD7Zt24ZvfOMbCIfDAIBEIoFMJoOlpSWOVqy2/bqmOtnJsox0Or2uO9l9/etfx1133fWiZ2+v4o9/VXGxrot33nkntmzZgr6+Pvh8Pj68fD4fgsEgotEootEoezkX0mw2USgUcPToUSwtLXGXOcMwuDc8Gft0Oo0DBw7g3LlzHSFOmrbV/pztEQTyusiLovK5aDSKnTt3IhKJcIvdvr4++P1+9vCpgYiqqhwCVVUVTz75JJ544gkcOnQIv/jFL170eyj26srRvl/tdjtCoRDe85734Oabb8bAwAAA8Gx26kzXXq5JBp8ukYVCAYFAAMFgEIuLi3jkkUeQSqWQy+VgGAa2b9+OaDSK4eFhjIyMYGxsjHvZz87OQtd1RCIRnDt3jkvuaHiRz+fD+Pg4nE4nGo0Gt34Gznv81WqVxay0tyn9RL8LlPaiRj7JZBK/+MUv8LnPfQ633XYb5ufnceTIkZdU9dEL+3VNePCEZVm45ppr8KUvfQnXXnttt5fTFdpztYLepdls4t///d87wuHtHrDT6eT8InV/y2QyyGaz/Bm3lwyRh9Lee749JEnd76jWuL0cjw44ehxNrSPjT5eLarUKu90Ov9+PV7/61YjH49xZz2azYXZ2Fr/4xS86pnN5vV7uX18oFJDP55HL5aDrOo+vFWH63qbVaiGXy+Gee+5hQ0w6DlLSk2eeSqVw7tw5Dt2TWFSWZY4qUY+GcrkMXdeRzWbx2GOPoVwuY3x8HB6Ph/d6MBjENddcg6uuugqDg4MoFoscMarX6wiHw6zIpxHLwPk6eEoXUDfG9qgBcL66o334UqFQ4N8TRVEwMTGBT33qU1heXsbQ0BBsNhtOnDiBQqGwakbIrikDDwBHjhxZ1+Mod+/ejd/7vd/D5z73uW4vRfACUH92mvhG3ju1riXFOs1nz+fzbOCBZ8p92ruAUX7f4XAgl8vBNE1uSBKPxyFJEvL5PEqlEtcHU5iecvvtjWtIE0BNd7xeL2KxGOLxeEe+s71tKZUsUVMb+nf19/ejVCrx2tPpNE6dOoWHH364mx+D4AWgXPbc3BwefPBB5PN5HnRks9lgGAbq9Tp7yKFQiIfOUE95Sp1SblyWZUSjUTQaDRSLRSSTSR4M4/F44PV6eciRruuYmppCrVZjESpVklAtPIlDL2zQ1D5UiSYfAudD+O2iOfo9y2Qy/LhGo4FQKIRSqYRAIIBbb70V8Xgcf/Znf7ZqauHXnIFf7+zatQvRaFQY+FVCuVzmOnS/3w9N0zjfXiqVkMvl0Gw2kUqlkEql2NslL4NKiS5sWAOAx8sCYKU+CZPoQL7QwFMonQRVdHmgUZxerxd+v58vJVQORaVx9F+Px4NGo4FEIoF4PI54PI5gMMjhUkmSMDs7C0mShIFfJTQaDTz55JNoNBqcnmk0GjxwiPLzIyMj7K1TRznqs9Cu/6A9R01nNE3jznLbt29Hq9XC8PAwMpkMZmZmoOs6brjhho4Z7vT6xWIRXq+Xo0LFYpH75Xu9Xg7V0+t6PB4UCgVuR0ual0KhwA14aFQt5fcnJiawZ88e/Nmf/RmA3vfegTVq4ClUebG8pUDQSyQSCVbEh0IhFItFHseazWaRy+XgdDo5vE1h0UAgwD3sE4kEj8OkUqPp6WmeNkc50nw+j3PnzqFYLHaMnrXb7RwloDGalM+kQSDtAj9SUu/atQtDQ0NcR9/X18fd7OjgjcVi0DSNIwFUv0xivQtb7Ap6m9HRUWzatAmxWAyZTIbnFDQaDVa6k0YjEomgWq0in8/jwIEDmJ6eRqVSwd69ezmUT5db8sgpihSNRjE5OYmxsTGcPHkSiUQCiqLwPqSfURQF8XgcBw8exNzcHOfnH374YSQSCfh8Plx11VXYvn07C/Wote6Fl1xKN6mqyl59tVrlyhKaigisDuMOrFED/7a3vQ3vfe978Td/8zfdXopA8LzkcjlW1j/99NM8YS4cDiMUCiEej6Ner8Pn82F4eLgjPA+c99b37dvHfbUrlQrsdjtGRkY4fEmlP9S4pj3/Tsa4vQSPwpkUkm9vNUp/AKBQKCAejwM4XzdPUQSPxwOXy8VhXIoskKCpXq8jk8lgeXkZuq6v6PsteGU88cQT8Pv92LFjB+evw+EwXyKpeQ0ZfZqMmM/nMTs7i3Q6jXw+z42OqOytv78fzWaTxaKhUIjTTCTkLBQKuOeee/jxExMT2LZtG/L5PI4ePYqTJ0+ygTZNE4FAAIFAALOzs3jkkUdw4403IhAIwOVywePxQJKkjqqTYrGIarXKJZ2tVoujVvS41TRJDlijBv4Tn/gE3vKWt3R7GQLBCzI6OoqxsTHOa1OdOOUByaMhVTJ5vwC4fIg6w9HPUX27ZVlIp9OYn5/HqVOnkM/nOe9OpXgU6SLD3Ww2Wf1MgiQS/dHP0Wvn83ksLS1x3tXlcvHMevLYaUQnqZ6pIUk2m+U2pYLep70zXSQSwfDwcMfwIBr4EggEWBTabDYRjUaRTqcRCASgqioqlQqWlpb4AkA19bquw+FwYMeOHZicnOS+9LVaDTMzM8hkMjzq9Sc/+QkOHz7MHexarRZmZmZ4/CuV7lHHvWq1Cr/fj1arhUqlwikFTdO4kRMNnFEUBblcjjUoLpcLhUKB58rPzs4CEB58V7niiiuwZcuWbi9DIHhBgsEg+vv70dfXh2AwyA1oqCb9wqlvADjESAcsGf72SW6WZSGZTCKZTPJoVvKuSJxHPfDbn5sa17RDLXHbm4xQ7j+VSkGWZR6c096rvP3CUC6XuUd5sVjE1NQU5ufnsbS0tLJvuOAlQ/vB5XJh586d2Lp1KxtEuig6HA7WaiwuLsI0TQ5t1+t1XHnllVhaWsKTTz75/2vvXGLjLK83/szd47l6xp4Z24ljbOMkJi1Q0poiAikSAiTYAGKFACEWXVRqF2266qLKDlKhFlWVumulFKGqaruAAi1UIBGhcndiMviWmJmxx3O/38fzX6Dn8E0S+MdJbM+M358UkZjxzOfvO37P+57znHOkGZO2vwM70A0PDyMQCKBer4ugdG1tDevr69jc3MTIyAhyuRwymQxMJhMCgQBqtRqOHDkiJ/Fms4kLFy6g2WyKBsXn84muhJsV9sun1kTbqY+2HI/HpYse37+b6DkHPzExseeb3Si6A56InE6ndLajM2WukeIgOky2BNWOlKWil4spTzGhUAjr6+vI5/Py/ZfO02bLWZ7SBwYG2rrpcWGrVCpS384Sumq1imw2K4s958JTyGc0GuFyueRnKJVKcLvdMggnEom0tb9VdA5XUol7vV7Mzs7i8OHDsnHTVlGwxDKZTEqbYm4qZ2ZmMDc3J2I2vj9the9Fu1pbWxPnzNB5MpkUQefw8DA8Hg/uvfdexONxjI+Po1qtyubCZDIhn89Ljn5qakrKSqmyL5VKovwHIFPs2OK2Wq0iFotJuos/o+pFv0vo9XrJESkUnY7P58Pg4CAcDoeEwLU16do56vyatrOXtnWstiytWCwinU4jnU4jlUqJqI795gG0lQJtbm5icHAQU1NTuOuuuzA8PCzTv0qlEs6ePYu3334bmUxGNhC1Wk0G51Ah32w2ZaAMh4I0m03pJMa52oVCQYbtNJtNBIPBXXsGiiujde5sdPTggw/CZDIhGo2i0WhI+SMbxzBKQ+duNpvh8XiQTCbx0ksvIZVK4f7774fP58PS0hLW19dht9vh9/vx6aefIp/P4z//+Y9Uc0xOTuLIkSOYmprC2NgYbrvtNtTrdczNzUlTqEOHDsmUuXK5jEAggP379+MHP/gB1tbWoNfrsW/fPmmKw4E5AKQxj8lkaivzZHoKAI4cOYJcLidCWEbKuoWecvCbm5u46aab8Morr+D+++/f7ctRKL6VaDSKaDQq068Yci8Wi5IndDgc0tKWHee4GGkXYc7DLhaLWF1dxSeffCJdwlgGRyGUwWDAwMAApqencd9994ngiBsK9pgHvurtfeTIEdxyyy0SGo3FYjh37hz27dsHn88Ht9sNp9MpojxtTp89wunw7XY7pqampExpbm4Of/3rX3f4ziu2Ap/lf//7X4yMjGB8fFxEncy1FwoFRCIRfP7551hfX8ctt9yCyclJzM/PIxwOI51OS8kayyXdbjeMRqP0fq9UKhIFaDQaWF1dxdDQEH74wx9idnZWNrGHDx+WCYna8cYcqGQwGOD3+5HJZBCPx2XzEAgEMDk5KWNvOQ+eG9Z6vY56vQ6r1SrDZWKxmES6arVa1zVl6ikHD0AmHykUnQ4XFgriWHdbqVTQbDbhdDrh9XplmAtz7QBkQ8ByMwDiWJvNJtLp9GWDMWZmZnDHHXdICJ7z6Ov1ugzToECOXfSYFuDJjKV5TqcTDocDFoulbYAMP48CJ0Ye+PW+vj6JGpRKJWxsbOzwXVdsFT67UCgEh8MBr9fbNnSI0aF9+/bh7bfflh4NFIBGo1Fks1l5L5/Ph9nZWSQSCVgsFni9XvzoRz9CKpXChQsXUCqV4HQ6MTY2hkceeQQ+n0+a2RiNxrbuda1WS2yKm1i2SPZ4PPL78/zzz0u0ga9Jp9MYGRmBXq+XqXkUi9L5s+xOO1Cpm+g5B69QdBMMZ9JJlstlmQLHUzXD3gBkQAZw+eQ2o9EoJUCBQEAWJH798OHDOHTokAjr6GgpnrtUrEfnTAESQ5McHsOIAwA5TWnHiWr72PMPc/o8uSkH3x3QNtnRkENXmL9mCubgwYPo6+uDx+OBTqeT+ey0Zdr60NAQrFYrTCYT3G43dDodbr75ZoyOjqJSqcDlcsHr9WJmZkY2oNlsFhaLRTag1IJwc2kwGGR0LcvZ2IPeZrMhl8shFovBZrMhnU7D7XajXC7LNfFn026e+XPV63WUy2WkUqldewbXgnLwPUalUkE8Ht/ty1BcJTabTfKAtVqtbYBHvV5vqz/XqnsvnfrGPL3D4cDo6Cj6+/tRq9VgNBrhcDjkZMJQPp0wFzYuaBQQsVSO0QEufMz/UzylnQGvPaVz0lyxWJSFkz9ToVAQhXIkEtmdG6+4JtjGmPa3ubkpzjabzeLxxx+XccXFYhGjo6MIBAISftfpdMjn82g2mwgEArKBXVhYwOOPP46pqSmxFZancRMRiURgt9sRCAREj2IwGFAoFGQErcvlEnV8MpmUWvt7770XKysrMBgMCIfD+PLLL3H8+HGZiuhyuaRShL83tFsOpdnY2MD8/PwuP4GtoRx8j/HKK6/gmWee2e3LUFwlq6ur0Ol08Hg88Pv9GBkZEYdOUZxWZMe8tlYgB3zt4Flvvn///rZ2slQOl8vlNmfOaIFWpc8TPU/+2tA/Uwpc4Dm4gyH/sbExWK1WKd9jtIHh/mQyiWAwiMXFRZw/f77rFsy9DuvIqXZnhQWjN7lcDoVCASaTCV6vFxaLBcPDw4hEIlLeOTIygmKxCK/XK+H1/fv3i+02m01sbGygVCohm83C6XTCZrPBZrOhv7+/rRRUp9PJGGKr1SpRLdbmR6NRLC4uwuVy4cSJE2g0GshkMkgmk/j000/h8/mQTqdlfgkjThSGctNgt9tx5swZ/Otf/9rN279llIPvIZ577jn8/e9/3+3LUGwB9m7naYQOkfXwVAtrc92bm5tykudipy05otNnSRxP3RxEQxh+5+cxb84e4drwOzvkMf/Okw3FSXT20WhUwqicdU9xVKlUwvLyMt555x0sLy93nWBJAbz55pvI5/O4/fbbAUBavLK9cSaTkdGwNpsNOp0OFy9elBMx+zN897vflX/X63VMT09L1QXLNuv1OlwuF/R6vSj0Oee9UChIq1q/3y+bTobSLRaL2KnX68W7776LDz/8EJOTk+jv70cikcDBgwfhdDpF+8LNSblchtPphMfjwYEDB/DFF1/g9OnTeOedd3b57m+dnnTwv/vd75BIJPDUU0/t9qXsKIlEoutyRHudpaUlVCoV3HTTTW2nEobRvV4vbDYbAEj++kpldNp2s9omNgydX9qOVjvkg69nnpU17QBkwdUK6AC0zZ5nsxDW1NPx12o1TExMwOl0otFoIJvNSvhTG/5XdA+Li4uSlrnttttgt9tlM8qokt1uF6dJu2IHRqPRCLvdjnw+LxsAlndyg1kul8WGstks7Ha7qPa5idWOS2abZFaaWCwW6TlPEd6xY8dkZgJHNPf390vZHH9H2MWOdfls7by8vIyLFy/u9u3fMj3p4N944w0AgN/vBwAcP35cBiH0Km+99ZYSLHUh0WhUFqJUKiUDYhhCp6Olcy+VSpIPp5PXDoHh4ss2m2yWww5fVCJzYWMoXjtulqd4ACLUK5fLkpe/VJxHRTVL8BhVoGCQJ7NGoyHNT7pRkbyX+KZxqMlkEouLizAYDAgEAhgfH0epVBLbarVasNlsbZtOhvNpd2azWXLyLPlkWRoFc0wtUdjHvDrz/wBkIFKpVJLXsMytXC7La/V6PcbHx0VUx9HMjAgAkMgXPzuXy8mGNx6PIxwOSzqqm+hJBw985eTp6BcXFzE+Pi4Ps5dotVrI5/N47LHHpBRF0V0kk0mkUik4HA4cPXoUPp9PutlVq1XkcjlpvnHp4sYwfKvVEqfNhY65dk6mY+c8qtm1YflLT/102iaTSV7LkzxPafw87fhZp9Mpm+larSavo5K5UCjg3LlzItJTdCbf1mt9Y2MDqVQKZrMZDzzwAGq1mvSFJ7QjikZ5Kma0x263iwCOWg1Ok2N0STvpkGVrmUwG1WpV8vLJZFLsiw4Z+Lr7HTtDrq6uwuVySZnpyMgIQqEQDAYDSqUS0uk0EomEaAyi0ShisRiWlpYwNzeHZDK5vTd8m9C1uqVr/hW4tGf2N6HX6/GnP/0JTz755DZf0c6zsLAgrSOvhS5+/F3F1dqqTqfDE088gaNHj4rqnVPY9Ho9nE6n5CdLpZI0xRkdHZVTEx222+0WZXAymWwb69nf3y/d6iig4zCNZrOJiYkJWCwW6b/tdrvltMUwPE80ZrNZcpb8bLPZLKHYQqGARCKBhYUFnD59+pptTtnqznEle9We6rXtWl944QUcO3YMZ8+eRTQahd/vh81mk/pyquYpkisUCigUCggEAvB4PLBarUilUtJalhoObloZpdK2Qmb4f2hoSIbFMGpksVhkFG0sFsPq6ipGRkZkhLHX68U999yD5eVlJBIJmQtfKpUQDAbR19eHWq2GjY0NvPvuu9d8DzvBXveEgweAffv24dFHH8Vvf/vbbbyineXPf/4zTp48iaWlpWt+jy5+/F3FVmyVM6xZDZHP50WBzC5cwFdh82w2i/X1dZnYxigVlfMM8fP7bTZbW06epXKbm5soFov44osv0Gg0sH//fvT398uCypwmc6icx83PcTgc0vLTarWiv78fVqsVkUgEH374Iebm5nD+/PnrijIpW905tmKvPp8P09PTuPvuu3HnnXfKkBiWaGazWRSLRfT19aGvr09O8hRicigNmywxXWS1WmXDylM/69bZCpf5c34PT/Es0+P78L0/+ugjbGxsYHJyUgSh+Xwe8XgcoVAItVoNqVQK2WxWogDXSifYa+/FrL+BcDiM119/HSdPnsSvfvWr3b6cayIcDrfNuP/f//53Xc5d0ZnkcjkEg0G89tprOHbsmPTFZs6S4Xc61nK5LH9MJpPkI6vVqkym42LIhVvbXY75R51OB5fLJYspFf2cBler1dDX14f+/n5R1DMEylB+q9WSlEMoFEI2m0U4HMb6+rpKIfUosVhMokz33XcfcrmcCDVpd06nU17P8D1D9zy5M82j7YqotWe2O261WvIZ7GXPE73JZILL5UI8Hm9rVsMqFFaRfPnll9DpdIhEIsjlckgmk1hdXUWr1RIlfS/oRPbMCZ4MDAx0pdI8HA7j3//+N5599tkb+r5d/Pi7iq3aql6vh8vlwi9+8QtZnMxmM2w2m3SCY5g0m81KcyNtUxnm7Zn/tlqtl4335IZBO2+e9e8M3VerVYRCIWxubkqXMqYDuICysU4ikcDS0hLm5+fx8ccf39B7qGx159iKvfLkbLVa8cc//lFO4UajEVarVXrNaysn+HeK3jh1kJtHbmLdbrdsErRiu1wuJ4LTo0ePolqtisbE7Xbj9OnTcnpnmalOp8OFCxdw8eJFJBIJGI1GzM/Py0CmtbW1tjLT66UT7HXPnOC1UKGpHRXYqfAX4qWXXsLzzz+/y1ej2CnYLY4qd9ppuVxuq3nXDtwAvi6B4/+jqIgK4Wq1Kqdwm80mSnuK7aiEzmazokDW5j+1/2UpFAAJowaDQXzwwQcqsrSHYKoH+Cpt+LOf/Uxy4pylTlFopVKRyBJtieF1Rp1Y6saIEfUh3OB6PB4MDg6iUChgbm5O2h5brVb09fWh0WjgH//4B4aGhjA9PY2DBw+KGG9gYEA2xm+99ZZ0/mRaoZsmxV0Ne+4ED0B2cy+88AJ+8pOf3OCrunEUCgX4/f62kqQbTRc//q7iWm2VOfXx8XF85zvfwZ133il5cO0JmyNjWQtcLBZFhJfL5RCPx1EsFqXxx9DQEAKBgAwF4Wm/1WqJiI6OnKr8bDaLZDKJdDqNgwcPYmJiAnq9HsvLy3j55Zexuroq9cPbYVfKVneOa7FXajlarRZ++tOf4umnn0ZfXx/S6TTW1takP7zH40GxWBSHyrw5N6ns4NhqtcTOWbo2OjqKAwcOwOl0IpFI4Pe//z1mZmZgt9tlXV9eXsb7778vtfUGgwHT09MYGxtDoVBALBbDysoKXnvtNfn8XrXXPengycTEBEZGRmCxWPDGG29cNrxjtzh16hT++c9/otFo4P3339/Wz+rix99VXK+t8tTtdrtx880346GHHoLT6ZTTkLYZDgV1zGdSXZzP56W8ye12IxAIyAZCW4bHkiRtCN/hcKBYLGJtbQ0rKysYHR3F4OAgzpw5g48//hixWGzbS9+Ure4c12uvo6OjGBoagtlsxqlTp2S8K0swm80mQqEQjEYj/H6/dFXUbg6ZptIOP/J6vZiamsLGxgbOnDmDF198UWYwaOe8UzFPJb7f74fb7ZYBR8vLy9te+tYJ9ronQ/RkZWUFKysrMJlM+M1vfgODwYDZ2VncfffdO3odwWAQr776qvz7b3/727Y7dkV3wc5xHANrNpsxOTmJ4eHhNpEbT+NsHQp8dSLiiNh8Pi99thnO1E58Y6/5wcFBCZmyJjiXyyESiWB5eRnhcBhWqxXz8/MIhUK7fHcUnQTFa5FIBDqdDi+//DIqlQomJiYwMzMjr2O4nJsJpqXozNkOmTXxFosFxWIRoVAIKysrCAaDqFQqiEQikjJiHp62zZRAJpOB0WhEpVJBsVjs2rr2rbKnHTyp1+v45S9/CQD48Y9/jKGhIQDA9PT0de9kycLCwjfu6F599VX8/Oc/vyGfo+htWq2WLJ633norZmdnZVKctqMdT+CcOMcTEkV2FMYVCgVp3dlsNmUQB78vl8thaWkJmUwG6XQasVgMa2tru3wXFJ2Mdp1rtVr4wx/+AAC45557YDabRfjm9/tlrjuV9KVSScScZrNZmuBwrHI8HkcwGEQ8Hkc+n4fb7caFCxdQLpfFrq1Wq5S3VSoVrK+vtzVv2kvs6RD9t2EwGJBOp2G326/6M3kSuvSWNhoNuN3utrnenUIXP/6uYjttVafT4emnn8b09DQcDoco21mOBEBy6+fPn4der8fAwADGxsZQqVREkZzJZBAMBjE3NycdyJjbp+KZJXu7gbLVneNG26t2UJJOp8PDDz+MO+64AwcOHIDdbsdnn32Gw4cPtzW1cTqdcDgcIgi12+2Ym5vDyZMncfvtt+N73/seTp06hfn5+TZ9klb8CXxtN9rfhZ2gE+xVOfhvgTXBWhYXFzE4OHjZa0+cOIGFhQX85S9/wYEDBy5bCDt1clYXP/6uYrttlSF4LpA2mw2//vWvkc/npYudx+PBe++9h1AohHK5DKvVKkp97eS4aDTapib+pr7kO00nXMNeYSftFfgq337ixAkcP34cg4ODyOVyMkUuHA5jYWEBH3zwAc6dO4dsNitlnmzj3Il0gr0qB79FHnjgAcltajl79iwKhQK+//3v4/XXX++Ih3s1dMt1djs7batGoxGHDh0S0V2z2YTZbEYqlZKTOMuFtGVOADp2qIay1Z1jJ+z10o3j9PS0tK4FIGI8trbNZDLIZDLyPYwIdCqdYK/Kwe9xuvjxdxXKVq8fZas7x244eC3aMLs2xN5NNtAJ16pEdgqFQqHYcb7NAV4p7N4JDrPb6Ow2bgqFQqFQKK4J5eAVCoVCsWuo9NX2oRy8QqFQKHYNFXrfPpSDVygUCoWiB1EOXqFQKBSKHkQ5eIVCoVC00Yt58V78mf4/lINXKBQKRc+zF3P9ysErFAqF4jL24om311AOXqFQKBRXRDn57kY5eIVCoVC0cT2T1652U6DT6b71tdphNNr37YZNh8Vi2e1LANDlvegVCoVCoVBcGXWCVygUCoWiB1EOXqFQKBSKHkQ5eIVCoVAoehDl4BUKhUKh6EGUg1coFAqFogdRDl6hUCgUih5EOXiFQqFQKHoQ5eAVCoVCoehBlINXKBQKhaIH+T/zq6qraQaw0AAAAABJRU5ErkJggg==\n",
       "text/plain": [
        "<Figure size 600x800 with 24 Axes>"
       ]
@@ -977,7 +1318,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 15,
+   "execution_count": 13,
    "id": "393fca6c-2446-4822-8aad-44403761b40e",
    "metadata": {},
    "outputs": [
@@ -985,12 +1326,12 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "sampling...: 100%|████████████████████████████████████████████████████████| 1000/1000 [00:16<00:00, 61.51it/s]\n"
+      "sampling...: 100%|████████████████████████████████████████████████████████| 1000/1000 [00:16<00:00, 60.29it/s]\n"
      ]
     },
     {
      "data": {
-      "image/png": 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\n",
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\n",
       "text/plain": [
        "<Figure size 400x400 with 4 Axes>"
       ]
@@ -1044,6 +1385,14 @@
     "plt.tight_layout()\n",
     "plt.show()"
    ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "8d9707e7",
+   "metadata": {},
+   "outputs": [],
+   "source": []
   }
  ],
  "metadata": {
diff --git a/tutorials/generative/2d_controlnet/2d_controlnet.py b/tutorials/generative/2d_controlnet/2d_controlnet.py
index 6cc7b545..8de30c3d 100644
--- a/tutorials/generative/2d_controlnet/2d_controlnet.py
+++ b/tutorials/generative/2d_controlnet/2d_controlnet.py
@@ -65,7 +65,7 @@
 from tqdm import tqdm
 
 
-from generative.inferers import ControlNetDiffusionInferer
+from generative.inferers import ControlNetDiffusionInferer, DiffusionInferer
 from generative.networks.nets import DiffusionModelUNet, ControlNet
 from generative.networks.schedulers import DDPMScheduler
 
@@ -77,7 +77,7 @@
 
 # %% jupyter={"outputs_hidden": false}
 directory = os.environ.get("MONAI_DATA_DIRECTORY")
-root_dir = "/tmp/tmpb89d70u5/" #tempfile.mkdtemp() if directory is None else directory
+root_dir = tempfile.mkdtemp() if directory is None else directory
 
 # %% [markdown]
 # ### Set deterministic training for reproducibility
@@ -348,7 +348,9 @@
                 0, inferer.scheduler.num_train_timesteps, (images.shape[0],), device=images.device
             ).long()
 
-            noise_pred = controlnet_inferer(model, controlnet, noise, timesteps,
+            noise_pred = controlnet_inferer(inputs = images, diffusion_model = model,
+                                            controlnet = controlnet, noise = noise,
+                                            timesteps = timesteps,
                                            cn_cond = masks, )
 
             loss = F.mse_loss(noise_pred.float(), noise.float())
@@ -376,7 +378,9 @@
                         0, controlnet_inferer.scheduler.num_train_timesteps, (images.shape[0],), device=images.device
                     ).long()
 
-                    noise_pred = controlnet_inferer(model, controlnet, noise, timesteps,
+                    noise_pred = controlnet_inferer(inputs = images, diffusion_model = model,
+                                            controlnet = controlnet, noise = noise,
+                                            timesteps = timesteps,
                                            cn_cond = masks, )
                     val_loss = F.mse_loss(noise_pred.float(), noise.float())
 
@@ -529,3 +533,5 @@
         plt.title("Sampled image")
 plt.tight_layout()
 plt.show()
+
+# %%